[
    {
        "id": 1,
        "task_id": 248,
        "test_case_id": 1,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "1 2 2 1\n",
        "output": "6\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 2,
        "task_id": 248,
        "test_case_id": 2,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "1 1 1 2\n",
        "output": "31\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 3,
        "task_id": 248,
        "test_case_id": 3,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "2 12 3 1\n",
        "output": "0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 4,
        "task_id": 248,
        "test_case_id": 4,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "4 6 2 1\n",
        "output": "3\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 5,
        "task_id": 248,
        "test_case_id": 5,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "4 6 2 2\n",
        "output": "122\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 6,
        "task_id": 248,
        "test_case_id": 6,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "6 4 2 2\n",
        "output": "435\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 7,
        "task_id": 248,
        "test_case_id": 7,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "10 1 3 3\n",
        "output": "112812\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 8,
        "task_id": 248,
        "test_case_id": 8,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "5 3 1 1\n",
        "output": "8\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 9,
        "task_id": 248,
        "test_case_id": 9,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "50 22 5 5\n",
        "output": "876439301\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 10,
        "task_id": 248,
        "test_case_id": 10,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "6 20 1 1\n",
        "output": "0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 11,
        "task_id": 248,
        "test_case_id": 11,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "42 42 2 3\n",
        "output": "6937\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 12,
        "task_id": 248,
        "test_case_id": 12,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "42 42 3 2\n",
        "output": "1085\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 13,
        "task_id": 248,
        "test_case_id": 13,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "45 54 4 5\n",
        "output": "433203628\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 14,
        "task_id": 248,
        "test_case_id": 14,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "6 5 4 3\n",
        "output": "282051\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 15,
        "task_id": 248,
        "test_case_id": 15,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "42 42 42 42\n",
        "output": "284470145\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 16,
        "task_id": 248,
        "test_case_id": 16,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "1 100 42 42\n",
        "output": "58785421\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 17,
        "task_id": 248,
        "test_case_id": 17,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "1 100 1000 100\n",
        "output": "542673827\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 18,
        "task_id": 248,
        "test_case_id": 18,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "1 1 1000 100\n",
        "output": "922257788\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 19,
        "task_id": 248,
        "test_case_id": 19,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "100 100 1000 100\n",
        "output": "922257788\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 20,
        "task_id": 248,
        "test_case_id": 20,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "1 8 1 4\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 21,
        "task_id": 248,
        "test_case_id": 21,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "9 4 5 2\n",
        "output": "11045\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 22,
        "task_id": 248,
        "test_case_id": 22,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "2 6 6 2\n",
        "output": "8015\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 23,
        "task_id": 248,
        "test_case_id": 23,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "7 8 5 9\n",
        "output": "860378382\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 24,
        "task_id": 248,
        "test_case_id": 24,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "3 7 8 6\n",
        "output": "510324293\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 25,
        "task_id": 248,
        "test_case_id": 25,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "69 69 803 81\n",
        "output": "74925054\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 26,
        "task_id": 248,
        "test_case_id": 26,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "67 67 871 88\n",
        "output": "123371511\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 27,
        "task_id": 248,
        "test_case_id": 27,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "71 71 891 31\n",
        "output": "790044038\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 28,
        "task_id": 248,
        "test_case_id": 28,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "49 49 631 34\n",
        "output": "764129060\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 29,
        "task_id": 248,
        "test_case_id": 29,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "83 83 770 49\n",
        "output": "761730117\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 30,
        "task_id": 248,
        "test_case_id": 30,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "49 49 163 15\n",
        "output": "458364105\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 31,
        "task_id": 248,
        "test_case_id": 31,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "38 38 701 74\n",
        "output": "496603581\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 32,
        "task_id": 248,
        "test_case_id": 32,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "65 65 803 79\n",
        "output": "253679300\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 33,
        "task_id": 248,
        "test_case_id": 33,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "56 56 725 64\n",
        "output": "338598412\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 34,
        "task_id": 248,
        "test_case_id": 34,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "70 70 176 56\n",
        "output": "990579000\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 35,
        "task_id": 248,
        "test_case_id": 35,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "32 32 44 79\n",
        "output": "20803934\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 36,
        "task_id": 248,
        "test_case_id": 36,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "35 35 353 21\n",
        "output": "149936279\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 37,
        "task_id": 248,
        "test_case_id": 37,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "57 57 896 52\n",
        "output": "271910130\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 38,
        "task_id": 248,
        "test_case_id": 38,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "86 86 373 19\n",
        "output": "940701970\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 39,
        "task_id": 248,
        "test_case_id": 39,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "27 27 296 97\n",
        "output": "394599845\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 40,
        "task_id": 248,
        "test_case_id": 40,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "60 60 86 51\n",
        "output": "277883413\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 41,
        "task_id": 248,
        "test_case_id": 41,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "40 40 955 95\n",
        "output": "600387428\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 42,
        "task_id": 248,
        "test_case_id": 42,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "34 34 706 59\n",
        "output": "274236101\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 43,
        "task_id": 248,
        "test_case_id": 43,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "74 74 791 51\n",
        "output": "367968499\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 44,
        "task_id": 248,
        "test_case_id": 44,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "69 69 443 53\n",
        "output": "385620893\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 45,
        "task_id": 248,
        "test_case_id": 45,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "59 19 370 48\n",
        "output": "125206836\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 46,
        "task_id": 248,
        "test_case_id": 46,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "78 82 511 33\n",
        "output": "375900871\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 47,
        "task_id": 248,
        "test_case_id": 47,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "66 90 805 16\n",
        "output": "593436252\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 48,
        "task_id": 248,
        "test_case_id": 48,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "60 61 772 19\n",
        "output": "931528755\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 49,
        "task_id": 248,
        "test_case_id": 49,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "81 13 607 21\n",
        "output": "762608093\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 50,
        "task_id": 248,
        "test_case_id": 50,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "35 79 128 21\n",
        "output": "177972209\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 51,
        "task_id": 248,
        "test_case_id": 51,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "93 25 958 20\n",
        "output": "873170266\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 52,
        "task_id": 248,
        "test_case_id": 52,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "44 85 206 80\n",
        "output": "170080402\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 53,
        "task_id": 248,
        "test_case_id": 53,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "79 99 506 18\n",
        "output": "486170430\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 54,
        "task_id": 248,
        "test_case_id": 54,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "97 22 29 8\n",
        "output": "471632954\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 55,
        "task_id": 248,
        "test_case_id": 55,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "14 47 184 49\n",
        "output": "726421144\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 56,
        "task_id": 248,
        "test_case_id": 56,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "74 33 868 5\n",
        "output": "826980486\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 57,
        "task_id": 248,
        "test_case_id": 57,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "53 79 823 11\n",
        "output": "526626321\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 58,
        "task_id": 248,
        "test_case_id": 58,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "99 99 913 42\n",
        "output": "446683872\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 59,
        "task_id": 248,
        "test_case_id": 59,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "52 34 89 41\n",
        "output": "905639400\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 60,
        "task_id": 248,
        "test_case_id": 60,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "87 100 200 80\n",
        "output": "913761305\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 61,
        "task_id": 248,
        "test_case_id": 61,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "40 94 510 53\n",
        "output": "233079261\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 62,
        "task_id": 248,
        "test_case_id": 62,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "2 56 438 41\n",
        "output": "500592304\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 63,
        "task_id": 248,
        "test_case_id": 63,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "6 68 958 41\n",
        "output": "719351710\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 64,
        "task_id": 248,
        "test_case_id": 64,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "44 80 814 26\n",
        "output": "414148151\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 65,
        "task_id": 248,
        "test_case_id": 65,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "100 1 1000 100\n",
        "output": "603336175\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 66,
        "task_id": 248,
        "test_case_id": 66,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "1 3 1000 100\n",
        "output": "604187087\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 67,
        "task_id": 248,
        "test_case_id": 67,
        "question": "Memory and his friend Lexa are competing to get higher score in one popular computer game. Memory starts with score a and Lexa starts with score b. In a single turn, both Memory and Lexa get some integer in the range [ - k;k] (i.e. one integer among  - k,  - k + 1,  - k + 2, ...,  - 2,  - 1, 0, 1, 2, ..., k - 1, k) and add them to their current scores. The game has exactly t turns. Memory and Lexa, however, are not good at this game, so they both always get a random integer at their turn.\n\nMemory wonders how many possible games exist such that he ends with a strictly higher score than Lexa. Two games are considered to be different if in at least one turn at least one player gets different score. There are (2k + 1)^2t games in total. Since the answer can be very large, you should print it modulo 10^9 + 7. Please solve this problem for Memory.\n\n\n-----Input-----\n\nThe first and only line of input contains the four integers a, b, k, and t (1 ≤ a, b ≤ 100, 1 ≤ k ≤ 1000, 1 ≤ t ≤ 100) — the amount Memory and Lexa start with, the number k, and the number of turns respectively.\n\n\n-----Output-----\n\nPrint the number of possible games satisfying the conditions modulo 1 000 000 007 (10^9 + 7) in one line.\n\n\n-----Examples-----\nInput\n1 2 2 1\n\nOutput\n6\n\nInput\n1 1 1 2\n\nOutput\n31\n\nInput\n2 12 3 1\n\nOutput\n0\n\n\n\n-----Note-----\n\nIn the first sample test, Memory starts with 1 and Lexa starts with 2. If Lexa picks  - 2, Memory can pick 0, 1, or 2 to win. If Lexa picks  - 1, Memory can pick 1 or 2 to win. If Lexa picks 0, Memory can pick 2 to win. If Lexa picks 1 or 2, Memory cannot win. Thus, there are 3 + 2 + 1 = 6 possible games in which Memory wins.",
        "solutions": "[\"mod=10**9+7\\nf=[0]*500000\\n\\ndef POW(a,b):\\n\\tif(b==0):\\n\\t\\treturn 1\\n\\tif(b&1):\\n\\t\\treturn POW(a,b//2)**2*a%mod\\n\\telse:\\n\\t\\treturn POW(a,b//2)**2\\n\\ndef C(n,m):\\n\\tif(m>n):\\n\\t\\treturn 0\\n\\tt=f[n]*POW(f[m],mod-2)%mod*POW(f[n-m],mod-2)%mod\\n\\treturn t\\n\\n\\nf[0]=1\\nfor i in range(1,500000):\\n\\tf[i]=f[i-1]*i%mod\\na,b,k,t=list(map(int,input().split(' ')))\\n\\nans=0\\nfor i in range(0,2*t+1):\\n\\tt1=POW(-1,i)*C(2*t,i)%mod\\n\\tt2=(C(210000+2*k*t-a+b+2*t-1-(2*k+1)*i+1,2*t)-C(1+2*k*t-a+b+2*t-1-(2*k+1)*i,2*t))%mod\\n\\tans=(ans+t1*t2)%mod\\nprint(ans)\\n\", \"def c(n, k):\\n\\tif k > n:\\n\\t\\treturn 0\\n\\ta = b = 1\\n\\tfor i in range(n - k + 1, n + 1):\\n\\t\\ta *= i\\n\\tfor i in range(1, k + 1):\\n\\t\\tb *= i\\n\\treturn a // b\\na, b, k, t = map(int, input().split())\\nn, m, s = 2 * k + 1, 2 * t, 2 * k * t + b - a\\nans, mod = 0, 1000000007\\nfor i in range(m + 1):\\n\\tans = (ans + [1, -1][i & 1] * c(m, i) * c(m + s - n * i, m)) % mod\\nprint((pow(n, m, mod) - ans) % mod)\"]",
        "difficulty": "interview",
        "input": "10 10 1000 100\n",
        "output": "922257788\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/712/D"
    },
    {
        "id": 68,
        "task_id": 541,
        "test_case_id": 1,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "5 2\n1 4\n2 5\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 69,
        "task_id": 541,
        "test_case_id": 2,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "9 5\n1 8\n2 7\n3 5\n4 6\n7 9\n",
        "output": "2\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 70,
        "task_id": 541,
        "test_case_id": 3,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "5 10\n1 2\n1 3\n1 4\n1 5\n2 3\n2 4\n2 5\n3 4\n3 5\n4 5\n",
        "output": "4\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 71,
        "task_id": 541,
        "test_case_id": 4,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "2 1\n1 2\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 72,
        "task_id": 541,
        "test_case_id": 5,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "3 3\n2 3\n1 2\n1 3\n",
        "output": "2\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 73,
        "task_id": 541,
        "test_case_id": 6,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "19 7\n4 18\n6 11\n3 11\n6 12\n14 19\n2 10\n11 15\n",
        "output": "2\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 74,
        "task_id": 541,
        "test_case_id": 7,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "17 107\n3 13\n1 5\n3 15\n11 14\n1 2\n11 16\n8 9\n1 17\n2 14\n11 13\n3 8\n7 16\n2 15\n12 13\n5 6\n6 12\n13 15\n9 15\n1 14\n6 17\n12 17\n14 17\n6 11\n5 13\n8 10\n3 16\n9 10\n3 4\n10 11\n7 9\n15 16\n7 10\n4 8\n5 7\n2 8\n10 12\n2 10\n14 16\n4 12\n3 6\n2 12\n12 16\n7 17\n7 12\n4 16\n3 10\n5 11\n2 5\n9 12\n11 12\n16 17\n5 16\n3 7\n13 14\n7 14\n3 12\n3 17\n2 7\n8 17\n7 13\n1 3\n9 17\n2 17\n7 11\n7 8\n1 8\n6 13\n4 5\n7 15\n8 12\n2 4\n4 11\n15 17\n6 14\n10 13\n5 15\n4 7\n4 17\n1 4\n1 15\n6 15\n8 16\n10 15\n13 16\n10 16\n9 11\n5 17\n3 11\n4 6\n2 6\n6 9\n1 6\n6 16\n3 9\n4 15\n5 9\n2 13\n8 15\n12 14\n6 8\n11 17\n4 14\n1 9\n6 10\n8 13\n13 17\n5 8\n",
        "output": "13\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 75,
        "task_id": 541,
        "test_case_id": 8,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "9 24\n6 8\n3 8\n1 3\n5 6\n3 5\n1 7\n1 8\n2 4\n8 9\n3 7\n1 2\n6 7\n5 9\n2 9\n4 6\n2 3\n4 8\n1 4\n6 9\n2 5\n2 8\n7 9\n3 6\n5 8\n",
        "output": "6\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 76,
        "task_id": 541,
        "test_case_id": 9,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "17 136\n2 17\n11 13\n5 7\n3 12\n5 11\n3 13\n1 13\n13 14\n6 11\n6 17\n1 8\n11 12\n10 17\n2 15\n16 17\n4 6\n8 11\n14 16\n13 17\n7 8\n1 3\n9 11\n10 16\n9 13\n3 8\n3 9\n7 12\n13 15\n8 12\n2 6\n14 17\n2 9\n12 16\n5 6\n1 16\n10 14\n6 7\n2 5\n3 7\n1 5\n4 11\n9 12\n7 10\n2 11\n9 16\n1 9\n8 13\n2 16\n8 14\n12 14\n9 15\n4 10\n1 10\n3 16\n4 16\n13 16\n5 12\n6 16\n7 11\n11 14\n8 9\n15 16\n7 14\n7 15\n5 8\n5 10\n4 17\n4 7\n2 8\n1 4\n3 14\n5 15\n2 13\n3 15\n6 15\n3 11\n4 15\n3 4\n4 14\n6 9\n9 14\n1 6\n5 14\n5 13\n6 13\n10 13\n7 9\n11 17\n5 17\n6 14\n15 17\n4 12\n3 5\n3 6\n8 10\n7 17\n2 10\n7 16\n8 17\n1 2\n3 17\n5 9\n2 3\n2 4\n1 7\n10 11\n11 16\n6 8\n12 15\n4 5\n8 16\n1 15\n1 17\n3 10\n6 10\n4 9\n4 13\n11 15\n14 15\n6 12\n8 15\n4 8\n1 11\n12 17\n10 12\n9 17\n1 14\n1 12\n5 16\n2 12\n2 14\n10 15\n2 7\n7 13\n9 10\n12 13\n",
        "output": "16\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 77,
        "task_id": 541,
        "test_case_id": 10,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "16 83\n13 14\n10 11\n2 7\n1 16\n4 16\n1 10\n2 16\n9 10\n6 16\n12 13\n3 13\n10 15\n6 13\n1 15\n7 9\n7 11\n9 14\n3 10\n6 11\n9 16\n4 6\n1 5\n7 12\n5 13\n8 13\n6 10\n2 14\n11 12\n8 14\n7 16\n6 8\n12 14\n3 16\n5 11\n3 5\n4 10\n11 16\n3 7\n9 15\n7 14\n8 15\n1 11\n3 14\n4 5\n14 15\n10 16\n7 8\n10 14\n2 6\n8 9\n15 16\n3 9\n8 12\n3 11\n14 16\n6 7\n2 13\n9 13\n5 7\n3 4\n13 16\n5 14\n6 15\n1 14\n5 12\n2 8\n6 14\n5 10\n6 9\n7 10\n9 12\n2 10\n1 2\n7 15\n8 11\n3 6\n5 9\n5 8\n2 3\n9 11\n1 12\n11 13\n2 12\n",
        "output": "14\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 78,
        "task_id": 541,
        "test_case_id": 11,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "20 35\n9 12\n10 16\n8 12\n6 11\n11 13\n10 11\n4 16\n5 20\n13 17\n6 19\n4 7\n3 16\n7 13\n12 15\n17 20\n16 20\n6 20\n5 19\n10 17\n4 18\n2 10\n6 14\n5 10\n5 9\n1 11\n9 11\n1 3\n13 16\n19 20\n5 18\n16 19\n2 3\n7 15\n6 18\n1 12\n",
        "output": "7\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 79,
        "task_id": 541,
        "test_case_id": 12,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "5 10\n2 4\n1 2\n2 3\n3 4\n4 5\n1 5\n1 4\n1 3\n2 5\n3 5\n",
        "output": "4\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 80,
        "task_id": 541,
        "test_case_id": 13,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "13 78\n3 12\n10 12\n8 10\n2 3\n5 9\n1 7\n8 13\n1 10\n11 13\n4 11\n5 11\n1 13\n5 12\n10 11\n5 10\n6 12\n1 2\n1 6\n6 13\n9 10\n1 12\n2 7\n4 13\n7 9\n2 8\n4 8\n1 8\n7 13\n5 8\n6 9\n5 13\n7 11\n2 13\n12 13\n4 10\n4 9\n1 3\n6 10\n10 13\n3 10\n1 5\n2 9\n3 5\n11 12\n8 9\n4 7\n6 11\n2 10\n2 4\n3 4\n4 6\n8 12\n4 5\n7 10\n8 11\n2 11\n5 6\n3 9\n3 8\n9 12\n1 11\n3 7\n9 11\n7 8\n1 9\n4 12\n3 6\n5 7\n7 12\n2 5\n9 13\n2 6\n2 12\n3 13\n6 7\n6 8\n3 11\n1 4\n",
        "output": "12\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 81,
        "task_id": 541,
        "test_case_id": 14,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "5 10\n4 5\n3 4\n1 2\n1 4\n3 5\n1 5\n1 3\n2 3\n2 5\n2 4\n",
        "output": "4\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 82,
        "task_id": 541,
        "test_case_id": 15,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "21189 4345\n10171 15645\n10849 16732\n6014 18169\n3995 20232\n1557 8296\n2238 15717\n10071 12875\n2148 13213\n14696 19948\n2063 14524\n7571 10285\n2102 14395\n12673 13427\n15751 16347\n317 13928\n9825 17447\n7990 9393\n8479 14766\n6185 6858\n2781 11064\n14909 16382\n8468 9916\n7189 12428\n16941 18034\n8365 20107\n15421 17588\n5470 13011\n6101 13110\n5038 12358\n1985 6860\n8467 19510\n6927 17836\n11859 12049\n12723 16913\n7565 10012\n16983 17666\n2195 5114\n3859 6527\n3252 13781\n4850 17562\n6088 21104\n11530 17982\n9866 11236\n7214 18833\n3947 12468\n4977 8828\n4383 13070\n1365 1414\n459 18354\n859 1875\n1622 20390\n1246 19404\n1339 16427\n8477 10279\n14843 16725\n2115 7366\n4573 15167\n17752 20588\n4292 11368\n1663 4836\n3200 18771\n15106 18276\n9723 18814\n11443 16403\n6922 14340\n1385 11268\n4864 19148\n11189 12945\n13906 14754\n2201 20815\n2728 4366\n13479 19677\n6139 18510\n7150 7837\n14621 16094\n10256 11810\n2297 11415\n275 20775\n2329 5563\n6448 17732\n2540 10097\n15326 19694\n5449 20217\n9937 21057\n5651 20990\n667 8901\n13051 18351\n5273 14957\n464 11737\n2426 12196\n11690 12088\n730 3156\n2275 10094\n13884 15287\n1319 5995\n1160 14323\n16732 20355\n8624 10082\n11372 13963\n11418 17322\n4151 20441\n8902 16767\n1692 16230\n3688 4727\n5378 20890\n3515 15476\n7749 7751\n11427 15972\n4093 19331\n5776 9704\n1657 13149\n247 3439\n12608 15008\n9339 19559\n429 6932\n6329 17180\n7566 19173\n4194 18235\n3470 19242\n1404 17452\n387 9834\n3720 18977\n13540 19979\n15891 20636\n11447 14838\n8039 12405\n14537 15229\n10455 16199\n6149 14345\n2957 6207\n210 2145\n7760 18304\n13691 15825\n12874 15177\n999 7238\n12764 18409\n14026 18054\n2237 9830\n9647 18417\n14837 19057\n8262 10568\n1130 10242\n1049 19855\n8650 12813\n18129 18169\n6143 15917\n1526 3565\n6613 8468\n3308 14033\n5092 17069\n3956 15613\n7903 13490\n13496 20568\n17620 17888\n2673 13112\n1501 13922\n2278 20020\n3867 7355\n1454 14688\n1959 8447\n853 16568\n12634 19990\n10250 18920\n11835 19618\n400 8595\n2852 16228\n1989 9926\n12306 17820\n265 7067\n8054 12803\n9639 17797\n13483 16319\n6445 13114\n14599 20256\n10435 21153\n4622 9294\n10106 12955\n2092 15645\n10888 18215\n8800 11438\n14786 15895\n12080 20400\n9327 12564\n11443 15042\n3717 5591\n10079 21081\n9625 17964\n9521 10757\n4856 8838\n1568 20361\n13504 16076\n18576 19776\n5686 21177\n698 2159\n9204 13239\n9286 15524\n11103 14785\n10885 11909\n3156 8098\n7124 8472\n73 11800\n10701 20849\n1166 11771\n9293 14741\n13347 19969\n8873 15393\n9397 9551\n738 13985\n16222 20639\n4624 18229\n1374 12804\n5283 16797\n5726 7180\n7525 16909\n3764 16245\n12598 13937\n2840 21172\n17478 18669\n4816 11264\n12863 20119\n577 4677\n890 944\n1694 12612\n4906 13536\n18289 20915\n3721 12185\n2507 17600\n5736 11399\n13237 19225\n861 9043\n4422 9499\n3078 12371\n2004 3159\n3591 20394\n6616 17992\n18379 19850\n8506 17436\n635 2628\n4675 13063\n14739 20713\n10915 17452\n17422 17748\n12371 18405\n3695 18483\n10984 19721\n10057 10296\n5009 19028\n568 14349\n2594 9121\n12922 15493\n10904 11704\n12238 19633\n427 19536\n2548 14066\n3008 7262\n9721 15584\n2962 14051\n9883 20416\n3809 15156\n7334 11774\n4381 9769\n10907 11754\n11371 17978\n1917 7103\n12737 20640\n9430 11058\n13369 20853\n609 5701\n18008 18917\n9304 10223\n8220 20997\n4559 17881\n14739 16048\n8697 20520\n13584 18012\n15563 20926\n13377 17972\n16342 21189\n5948 14309\n2715 14536\n2569 7046\n194 1044\n2824 7204\n6656 16721\n4663 9115\n3634 7974\n14368 16480\n3560 9271\n7797 10880\n8356 15725\n4554 7659\n1216 17132\n8769 8935\n6181 12458\n6768 18775\n572 15027\n13057 17090\n15072 21089\n5565 13456\n4037 13479\n3220 17406\n17428 18083\n5517 14946\n6727 19311\n8214 15270\n1731 7498\n7284 15125\n1498 21014\n7443 9978\n1175 7934\n16215 17325\n16398 17357\n9572 15536\n6216 16609\n6855 20328\n8866 11113\n10140 20086\n12474 20172\n8636 18097\n2172 17578\n9527 11787\n2228 19545\n13034 19175\n14775 20238\n12603 14277\n3015 21010\n4665 12216\n277 11170\n10215 19664\n18911 19122\n3939 6368\n12734 19103\n3701 6387\n9058 19601\n10098 20890\n11558 17751\n4694 14956\n10410 14547\n1411 12919\n6779 10563\n2593 3822\n12405 15737\n13235 18048\n14683 15377\n170 6876\n14844 16423\n15069 19337\n5946 15636\n15212 16767\n6527 20591\n1500 20577\n1926 16328\n600 20243\n6443 11520\n3949 4568\n15757 16322\n13586 20265\n98 17624\n4337 15402\n15047 18700\n5484 13754\n5713 19708\n8360 21098\n17092 21076\n12643 18561\n8116 14269\n7087 20525\n4042 8234\n13088 20918\n748 954\n12182 13639\n3982 6067\n4985 18975\n8432 15517\n6505 9424\n249 14391\n3311 20527\n18209 18797\n11759 20012\n10212 16099\n9574 21124\n13233 16544\n11904 18132\n16367 16979\n13735 20807\n19320 19398\n12082 19273\n484 2719\n6200 13210\n1016 17161\n4996 10710\n11986 14783\n15801 16449\n8415 20342\n2816 13573\n10010 11257\n5211 6228\n11678 14316\n2372 9133\n7245 17953\n12752 17901\n8309 12173\n7629 15135\n690 14808\n6437 20749\n17067 20673\n8514 14460\n12083 17504\n7435 11014\n10177 21176\n1940 15854\n11428 11533\n5051 16922\n7296 15171\n4420 7428\n4993 13530\n8833 17532\n2558 9714\n1005 13887\n2334 7922\n2764 12076\n3271 12102\n912 2785\n4243 12849\n12295 16270\n3572 8226\n7079 19129\n5425 17302\n2452 7987\n2303 16304\n4904 10223\n5794 6547\n12025 12239\n5239 16385\n7067 19587\n4640 7794\n3264 7705\n3879 11995\n7962 15886\n13017 13281\n2351 7351\n10971 13691\n5157 7538\n8929 11888\n3993 15377\n1443 9969\n7545 15172\n18172 19458\n11120 15158\n3313 8805\n12604 13570\n3011 18246\n9868 10650\n14120 15939\n4923 7642\n8824 14840\n5648 20250\n8614 14485\n4289 5735\n11423 14845\n7137 14443\n1159 7227\n2720 14067\n1563 16246\n8271 18466\n7347 14632\n11998 17779\n6977 15759\n1135 18444\n471 9003\n775 19571\n5858 10714\n14463 17879\n19029 19368\n1149 7976\n1624 4754\n9199 14782\n416 13090\n1632 2101\n6653 6749\n15061 17739\n4732 21004\n9893 13816\n4903 19752\n1486 5168\n869 20796\n2734 15176\n8581 13945\n10110 16164\n4695 14190\n707 1259\n9830 15976\n2672 13926\n119 11179\n6847 13183\n16546 16933\n3899 15689\n171 12301\n503 20858\n500 14532\n3084 17488\n1080 10063\n14055 19157\n749 3701\n1692 10865\n2181 12452\n2196 9730\n6386 15909\n12212 14620\n7346 15840\n5713 8620\n15293 18088\n1417 14145\n5207 17610\n1175 14784\n605 2566\n16182 19435\n9703 17607\n13715 20001\n4398 9220\n8974 13280\n6848 19055\n11124 17160\n1374 19100\n7181 11953\n4764 16056\n3317 14247\n6191 17244\n3451 10358\n2254 20282\n7739 13685\n2401 18563\n5225 13539\n1409 20612\n7402 9758\n11537 19713\n11627 13451\n3764 11831\n1981 4490\n355 3447\n2460 13161\n18212 20295\n12967 19165\n3198 16720\n577 16725\n4470 10620\n14929 17242\n12423 16416\n11635 12357\n4225 9089\n958 15220\n1647 4821\n12017 13971\n12840 17606\n2264 4364\n11877 20792\n4483 14800\n12738 21045\n3007 14935\n18766 19964\n11722 21134\n12523 20068\n9612 16259\n7957 9026\n12410 20876\n9087 9990\n8965 11448\n2423 6243\n20411 20894\n204 12246\n8704 19219\n1471 11747\n16476 18869\n852 17971\n12162 12816\n8419 20285\n5902 17322\n2462 9134\n8983 9056\n1005 20527\n9484 12461\n16069 18941\n18256 18826\n5498 8615\n11396 17990\n4229 14735\n6727 8282\n11229 15246\n4241 18637\n4388 20907\n10325 16279\n15857 19337\n9938 19921\n2502 8236\n3366 11008\n420 5171\n13723 17595\n12986 16957\n12213 14638\n14004 20177\n2033 3029\n2254 9186\n1494 6016\n1050 20837\n10001 13429\n10002 12273\n618 6185\n9621 17548\n10671 14632\n13672 18042\n1388 8682\n1596 6247\n5939 8940\n150 9019\n11944 20071\n14059 19336\n5717 17424\n12269 16479\n14336 17494\n940 15966\n394 6967\n2459 17969\n895 19893\n12418 17594\n9872 10265\n9938 12580\n4633 15439\n1586 4442\n10343 11163\n4174 14287\n10041 12878\n11026 16568\n7096 14908\n4571 10326\n17033 17860\n4907 14078\n14073 14962\n7398 11585\n15951 18081\n1235 4833\n593 10276\n762 15599\n3822 8169\n2948 11314\n4205 16818\n16014 18508\n8899 18572\n2551 17324\n10521 18996\n14711 20766\n4817 15916\n14660 19939\n11065 14480\n733 13059\n2751 6576\n6241 18953\n17147 19488\n1087 7567\n637 11539\n17813 20005\n59 4428\n2273 16309\n10982 11575\n5823 15441\n7295 14645\n9436 19601\n5845 13032\n4447 10941\n4131 14840\n7201 9667\n11654 18708\n9701 17763\n889 8121\n6132 19402\n6106 12212\n4314 16519\n407 9032\n1550 3674\n4740 9134\n7589 17845\n1720 20063\n5418 9821\n5069 11336\n3930 11764\n10690 16004\n1854 17928\n4377 17537\n5124 5144\n6567 7142\n5497 17236\n11407 16077\n12304 16510\n1494 10641\n4836 8415\n13040 15409\n5264 12643\n7734 18920\n2984 17672\n13717 14784\n15451 19591\n9367 10284\n10082 20748\n9256 13824\n5304 15925\n7182 20106\n186 8384\n15914 18606\n5354 19981\n1816 3482\n3723 15074\n186 20293\n11859 15769\n3430 6690\n20476 20930\n10339 16790\n4201 20045\n8138 18679\n7788 8358\n13236 15876\n8452 9472\n4435 8529\n15911 18030\n7206 20595\n1287 14312\n5049 19243\n1790 14401\n12543 12694\n2431 3724\n3854 6858\n13301 15412\n3808 8647\n808 3798\n1424 16340\n7024 8201\n4708 7494\n695 19487\n7130 10057\n11065 11897\n2770 13193\n411 7072\n15486 20647\n400 10334\n2660 18627\n960 9999\n6607 14200\n2516 19701\n5712 16297\n1780 7835\n8809 17427\n12263 14251\n4829 17869\n59 6060\n3259 13337\n3831 8771\n7656 8264\n3890 8768\n3646 9009\n5344 12860\n724 12719\n5138 12761\n14683 16032\n3219 8996\n5594 6386\n6154 15333\n94 16533\n3665 4897\n16102 18805\n11211 15915\n287 18709\n9938 17531\n2595 7174\n3603 4730\n1310 2249\n14456 17704\n14764 14864\n10242 13038\n4856 18542\n6620 12714\n8575 20074\n11006 19314\n17018 17477\n1388 20450\n247 4918\n4983 7908\n2204 12876\n13637 19335\n6298 14394\n14733 15423\n2223 17210\n3585 4057\n2565 15669\n1596 16207\n4666 6937\n3345 15321\n4152 13822\n1466 16047\n3259 13259\n5866 17076\n17961 20371\n10977 19670\n2915 14307\n17795 19652\n4287 18712\n10048 16892\n4162 16289\n1428 12895\n6549 19878\n4245 6196\n6714 11212\n3463 7565\n3926 18530\n1375 2520\n7541 11036\n15923 18472\n709 15654\n13306 13885\n6580 9132\n257 14362\n8993 13114\n2118 11153\n2330 19751\n5655 15658\n4920 12158\n13239 19754\n1561 5640\n4323 9924\n8478 20196\n2971 15377\n1521 2544\n13616 18287\n15072 19581\n2923 14357\n16362 20144\n13062 13253\n1356 6044\n7996 16333\n548 15844\n6241 10048\n15886 17041\n15216 18318\n9462 17328\n7006 8294\n1333 4496\n90 7267\n12421 16141\n11115 19000\n4876 17699\n6008 9328\n5496 12616\n311 17840\n16188 17347\n5684 12741\n15473 19219\n9863 19446\n5510 11252\n7097 9255\n7801 12541\n2358 11154\n3026 15290\n13858 20367\n4481 15659\n8015 8256\n100 2423\n11806 16491\n2828 20428\n9227 19748\n203 859\n8463 20858\n10671 19525\n15793 20900\n15200 18203\n7424 11620\n12164 16342\n12910 13921\n4476 6435\n74 1751\n14412 19748\n8797 10457\n15998 19085\n1231 3056\n13714 18761\n7966 15335\n10487 14330\n5456 18596\n5089 12894\n6028 17351\n17262 17675\n10692 19160\n12067 15221\n13701 15474\n10233 15031\n9414 12622\n2007 2379\n8511 19349\n9463 10668\n7129 11098\n7328 7808\n1361 7102\n14078 16108\n635 3814\n5245 20524\n1227 8150\n3567 4726\n8903 15892\n14440 19254\n15538 20689\n10598 16029\n6725 18812\n4127 12887\n7856 20807\n6757 13639\n1879 4120\n360 19280\n2013 2591\n852 3366\n3456 12289\n17086 19945\n365 20992\n9935 12958\n504 11375\n5156 10547\n1696 9023\n8702 20645\n17041 18122\n4114 11991\n8839 19864\n2900 6832\n948 12961\n472 5055\n2919 20804\n2742 6107\n13860 16922\n13769 18888\n16938 17793\n9893 10925\n3586 10002\n3397 5367\n18736 18908\n12230 20466\n15910 18553\n5723 10653\n11594 12874\n1162 7789\n6025 14740\n5473 15261\n6309 17936\n3438 8571\n10982 16331\n10777 20571\n799 10386\n5273 20262\n15204 15293\n6968 14072\n15224 20158\n7884 15668\n5253 17451\n10476 11552\n11915 13444\n5191 11746\n7082 19457\n993 16933\n6091 6580\n6636 16486\n4539 19969\n7933 11856\n14894 19241\n15842 18614\n438 5457\n506 14334\n682 1124\n15910 20750\n2888 16583\n439 18077\n4315 16488\n525 13061\n7587 10459\n418 6722\n15395 21162\n3105 13386\n1072 5935\n10319 19007\n4790 19962\n13986 18292\n1473 10019\n11065 14256\n1 13663\n1717 17544\n12853 15678\n6115 19020\n1041 10650\n1528 7541\n10769 16834\n3763 12536\n9142 12865\n1591 15933\n19515 20272\n389 9188\n8177 8775\n6101 20166\n4806 16651\n3547 11920\n5544 15382\n639 16121\n7720 13131\n14507 20578\n8359 13193\n796 9869\n1422 17459\n10305 11166\n4380 18827\n2693 12143\n5578 11508\n1761 6736\n6561 14754\n8287 9082\n13260 15099\n2083 20463\n4411 10616\n9605 18244\n6465 15724\n117 17213\n5565 18486\n16320 19485\n5152 16203\n1326 4311\n504 10716\n4394 14142\n6780 17942\n4593 15629\n4805 12634\n18908 19334\n5322 15183\n885 20957\n3004 4015\n16495 17444\n7030 19265\n19271 20418\n3497 7908\n2206 4461\n6492 19935\n4214 16420\n6872 11013\n17943 19563\n4930 6168\n15506 18460\n15892 18740\n13621 15922\n7251 7417\n15000 17666\n3047 15262\n15562 15744\n9235 17852\n1996 12330\n14954 17172\n742 20656\n4934 20246\n3333 20241\n9671 13897\n2405 4097\n5995 14042\n4061 17668\n338 19417\n16752 21137\n17667 20590\n13643 16993\n1679 19282\n993 20507\n9102 15860\n2843 16100\n1188 10754\n4498 12298\n4034 6701\n4221 4414\n3066 14780\n22 12236\n4978 10493\n7166 10980\n754 19901\n11316 13631\n3528 15919\n310 12554\n15070 18574\n5442 19748\n3986 11599\n15573 20523\n16965 17256\n12326 13909\n12833 13067\n1831 2039\n7128 16552\n16047 16994\n5476 17029\n9113 13531\n3414 15652\n10737 12596\n7847 12582\n2021 20106\n12185 21045\n8411 14885\n4917 10765\n4493 20331\n5212 6177\n1357 14518\n4699 20156\n13857 14481\n8219 20834\n1107 20597\n4464 16800\n5241 10112\n387 1677\n8210 19674\n8748 10647\n833 13926\n4002 4419\n16061 17626\n5335 19623\n16230 20133\n5083 9378\n6030 19005\n10668 13788\n4275 13653\n5105 8616\n383 17065\n3594 10380\n1391 1854\n12161 14342\n7104 11088\n10713 14155\n4882 6331\n3439 11701\n2536 8682\n13144 17116\n1653 11872\n1883 16819\n6000 7278\n4082 4315\n10738 20575\n4674 11378\n5812 10827\n11668 17923\n1326 17751\n3493 17076\n16109 20312\n11223 17842\n1525 18112\n7688 18608\n5070 14306\n10169 13578\n6840 7529\n4156 8695\n724 3209\n18044 20130\n14345 20875\n2372 16903\n875 2939\n7161 16098\n4136 5305\n13124 18593\n1809 16188\n10843 12896\n15525 19727\n11012 20931\n10717 18592\n3232 7136\n236 8075\n22 19491\n4730 17380\n4343 6622\n3234 4362\n7448 14507\n13039 18019\n1689 21113\n17877 17893\n7027 16478\n33 4844\n2844 21001\n8 2255\n9142 19953\n565 1996\n10151 21016\n6672 11915\n2740 20588\n6520 16814\n824 11352\n13536 18946\n193 7031\n2155 15571\n6454 7491\n8074 11867\n2995 10029\n343 6177\n9238 18046\n3231 18392\n12437 18056\n10641 11591\n9776 18817\n9359 11279\n6284 8542\n2941 19285\n435 2923\n7298 12098\n4556 19446\n12744 18353\n10441 13715\n15816 20045\n4990 12913\n7519 14051\n9498 13232\n6887 15650\n3562 4217\n10748 11061\n2702 19334\n4642 16918\n4486 9306\n2328 7965\n1159 7130\n2442 7731\n11636 13431\n3502 10017\n4561 12779\n3996 17928\n382 6218\n157 13664\n10060 17900\n11466 17630\n9181 20497\n1226 16232\n6745 10702\n39 19842\n238 13260\n8632 12945\n5343 7596\n779 9694\n17953 21027\n2261 13597\n5763 17293\n4453 19104\n15711 20262\n1477 4806\n572 1052\n2405 18678\n6068 8916\n1031 20490\n78 17591\n5422 11443\n2602 4970\n69 7124\n9720 18077\n15197 19187\n5132 15391\n6095 10429\n19029 19048\n12614 16610\n8167 10879\n1155 3610\n10652 17041\n4987 20414\n8779 14524\n399 19587\n4500 13144\n4838 20663\n9116 20474\n13677 17752\n8284 20148\n2819 4655\n139 20342\n701 8462\n14737 14793\n13751 13806\n8187 12671\n2866 15676\n11686 20568\n15730 17581\n981 2214\n5686 6445\n9389 17589\n14423 18752\n1196 19787\n9235 12762\n15309 16839\n18517 20228\n2656 11293\n6868 18342\n8069 15912\n1940 10835\n5059 13171\n208 19499\n5135 18423\n17311 17977\n19467 19933\n50 5109\n2115 12787\n4172 11181\n7902 16193\n2594 3293\n18223 19096\n10840 10924\n5514 9656\n2166 15939\n1154 21088\n8674 18282\n5198 14130\n16528 20817\n2242 8176\n10889 17113\n402 9129\n6921 15868\n5119 15133\n3088 6140\n14406 20269\n36 17822\n6717 18920\n9884 15618\n1645 14339\n4592 12220\n1921 20165\n12079 13705\n3244 20180\n1356 3258\n4846 13441\n12569 13198\n3019 8490\n14138 17167\n7478 8736\n6299 6307\n15079 17034\n6247 18871\n661 10301\n11744 11794\n12360 20414\n7961 20735\n7725 18677\n6391 12202\n9751 11719\n11139 13360\n14700 15344\n5880 7594\n2931 15097\n9122 17414\n6596 12007\n4663 14679\n6044 13002\n4898 7596\n17764 17936\n3472 10884\n11510 12093\n903 19807\n8987 10391\n14676 16713\n4457 16091\n1759 19289\n6847 19564\n12203 15999\n15805 19780\n14989 19384\n15211 15360\n16664 16700\n9422 12724\n3358 6040\n5965 15635\n3235 17091\n3242 4547\n5307 18645\n492 5622\n11370 16434\n2960 4281\n652 15401\n901 12263\n5167 17278\n4042 12615\n4790 11693\n2242 13165\n5157 5870\n805 9736\n569 20452\n9291 17440\n2555 11007\n4406 5950\n8419 20293\n5612 10168\n11555 15855\n4964 13406\n1721 15346\n3609 20162\n2359 16890\n9414 13954\n7433 19508\n12586 14595\n32 1185\n1476 4562\n2465 14691\n1879 2257\n11408 13007\n9512 11413\n6834 19418\n1725 9505\n6259 8450\n1607 4464\n2399 4879\n13106 16780\n9239 12439\n6637 15434\n8890 17707\n5426 15889\n4532 12906\n7376 10347\n10457 13649\n8801 15662\n14376 16456\n6116 9744\n11654 20277\n10035 11577\n4410 14511\n3370 13752\n5473 17405\n348 13769\n6439 19553\n12361 18124\n2953 9948\n11777 15125\n2341 2940\n9516 12126\n3090 5888\n8020 14370\n8429 10339\n10580 15135\n5247 6759\n15546 18131\n11909 15066\n8480 16994\n7086 18568\n115 14086\n11359 15277\n11939 21123\n10066 16108\n7499 18613\n3697 17412\n668 18923\n16223 20863\n3366 20510\n6452 20086\n15783 20069\n6938 15765\n298 17238\n11150 17525\n4159 20780\n721 8052\n2773 19403\n15203 21165\n14075 15094\n8144 9132\n16039 19189\n6194 17357\n1416 5654\n5727 12479\n18548 18847\n2754 15526\n6899 13300\n9700 19592\n10577 18017\n280 6355\n6210 8857\n2654 11454\n6870 7292\n14942 19590\n3794 20185\n292 3821\n10771 11252\n9176 20977\n1834 14667\n916 8964\n2330 11061\n2758 16086\n10044 12832\n4731 18029\n12944 13183\n2339 11624\n2711 7128\n4823 16061\n307 14203\n13470 18866\n7491 18320\n1399 9362\n9999 14118\n4033 13004\n6954 9358\n12140 19799\n10865 16220\n9176 21050\n18267 20109\n4286 20257\n3228 20944\n944 2550\n3763 9554\n3443 15513\n1100 6596\n12631 14469\n602 12901\n17576 20317\n7147 9197\n2666 15694\n5394 10885\n3214 13170\n4898 19568\n4620 17511\n11441 18787\n1932 11748\n14253 17632\n1223 3896\n608 3517\n1021 11780\n959 13444\n16002 19617\n6563 9293\n6815 21051\n14457 20303\n5839 12420\n17609 17820\n6129 7608\n9964 13748\n3402 11619\n2515 13891\n11552 18647\n10655 18906\n1064 19655\n12252 18272\n3059 11089\n2597 14640\n772 20751\n3855 6213\n9301 20011\n297 11779\n4755 4877\n10165 17987\n4051 20906\n3637 7724\n1770 18637\n7535 13177\n10015 10143\n11750 17143\n1117 19914\n6956 16133\n1021 4918\n15610 18346\n10565 12999\n8708 16257\n6232 20758\n1192 13672\n5110 14271\n1730 18905\n11391 16052\n5201 17384\n10658 20522\n19799 19916\n1771 8662\n11026 11266\n6429 13229\n1699 3755\n3529 17540\n2012 6089\n418 7851\n8 14202\n10205 19989\n3122 9004\n14182 17740\n14801 20386\n8371 17118\n10917 13452\n9089 17616\n9258 13441\n5281 20554\n328 442\n297 11280\n8726 9989\n1974 10110\n2978 4678\n5767 17794\n4960 12422\n20383 20983\n4145 14359\n13798 17045\n8407 18996\n1672 3948\n5546 19449\n9041 14555\n2041 2666\n5694 16039\n3391 16066\n5571 8296\n2694 16702\n9849 18812\n7585 14873\n12547 21058\n6334 16965\n8107 20008\n9644 18304\n5164 8211\n16727 17978\n5632 12577\n10099 19297\n10995 21180\n9252 15335\n8996 18095\n3150 5378\n2947 19320\n8010 15493\n2506 14914\n3602 10242\n17538 19296\n7939 12456\n8235 18933\n6434 8445\n6532 14428\n3117 18525\n8667 18000\n63 19554\n7942 9989\n4655 4997\n4004 6450\n3665 6959\n8283 15325\n7356 8517\n11842 20094\n11348 11560\n4507 14743\n8256 14802\n6989 7566\n5728 5996\n3085 6869\n9166 18592\n12305 13540\n3466 11585\n4024 8861\n18553 19937\n9650 15235\n3724 12221\n850 2080\n1201 15812\n16323 16675\n5869 18754\n9061 19445\n872 14794\n11871 16467\n7369 17508\n218 2778\n12040 20706\n7350 19246\n7713 11019\n14450 15873\n3739 16258\n5772 7250\n5810 7479\n1711 12134\n471 12440\n15724 20020\n15001 18181\n8281 20511\n7319 8744\n769 7012\n5047 11995\n2682 5168\n191 14062\n5184 12105\n4556 14360\n11059 15530\n10030 14023\n5485 10494\n11864 13969\n11526 21159\n4000 16190\n11239 14503\n5304 9461\n2027 6213\n2463 5453\n165 6911\n3243 14665\n321 15433\n3218 17789\n5610 14370\n7769 11296\n12105 14018\n7167 11349\n8886 16003\n11281 17052\n6941 12561\n1054 19602\n3827 19334\n9793 16460\n15531 19482\n1710 7512\n18103 19751\n3541 8579\n12040 14476\n529 11061\n6874 12779\n372 5409\n3440 19909\n4170 15051\n11033 16631\n2871 9916\n1996 10024\n11435 15755\n415 945\n7182 11383\n3050 11996\n9009 11461\n2747 14518\n1037 2514\n4909 9877\n8626 19286\n16330 20080\n1889 7138\n6022 10441\n8829 19987\n8901 19178\n18415 18712\n979 19794\n11671 16180\n5107 5594\n1571 9685\n9940 19394\n11522 14476\n17475 20519\n5065 14374\n121 6921\n8252 19500\n10696 12682\n4826 5071\n2947 16548\n12486 19755\n3312 13781\n11027 15279\n18189 18823\n13070 19863\n1697 20617\n3228 9424\n6520 11242\n2037 12712\n6444 11768\n11451 12554\n1430 8699\n16164 16586\n572 4131\n8723 19987\n4176 7906\n13148 14305\n12766 17196\n11409 11809\n17240 21032\n6282 9302\n14517 15315\n1767 16100\n2932 5197\n1809 14595\n10882 12271\n1698 19848\n1562 1911\n899 16407\n5162 6704\n3968 9389\n12972 15606\n8209 10401\n6435 16383\n12100 16968\n11459 12865\n12744 18674\n3150 5638\n16029 17910\n1549 8301\n2849 4985\n15713 15865\n7798 11983\n1721 14059\n5171 7953\n1694 18121\n41 17927\n15863 18481\n14092 15513\n1588 18714\n6116 13555\n91 16991\n696 3528\n1010 12866\n223 17491\n1563 18309\n10171 14573\n13865 18922\n2092 2937\n16960 19592\n17392 17823\n11689 19692\n1191 17966\n10806 13619\n8670 13215\n4020 17789\n2671 13842\n1058 9567\n44 6451\n10794 13873\n6256 14265\n12305 15540\n919 18755\n17069 20708\n499 21084\n1861 2346\n3779 14530\n425 6589\n244 10350\n6142 19076\n6006 12375\n3407 7606\n10227 11111\n1186 20947\n10074 15023\n4832 21166\n5452 20812\n8298 20623\n16558 19587\n8735 9271\n3339 9327\n17322 18604\n11255 12791\n539 8630\n10550 21186\n16033 20867\n9732 19900\n1813 9912\n5908 14254\n5862 6771\n4298 21102\n610 20277\n5530 14521\n13809 20548\n976 2530\n16292 18647\n9145 12664\n9685 13383\n18407 20497\n12599 15271\n1695 19534\n2762 3032\n7655 8418\n2128 16409\n341 7450\n3940 5371\n5468 19111\n107 7755\n15258 19696\n3190 14962\n5856 7015\n6291 14471\n1732 2680\n10223 10898\n1939 18474\n11404 16485\n6257 15247\n2172 19650\n6965 11035\n12555 13718\n4001 4672\n185 7630\n1916 14564\n2800 4253\n12422 19396\n490 6770\n8485 18664\n9636 19161\n2520 14181\n11594 14886\n68 13314\n2959 3033\n9317 17749\n3595 11141\n2164 16670\n229 20016\n8175 19254\n1936 21179\n8916 19569\n10865 17939\n15126 16972\n5688 6498\n7878 19290\n10360 17541\n497 5154\n10255 10400\n9122 16461\n1241 17861\n2628 9894\n1193 12932\n7627 17011\n3964 5374\n10695 19594\n3831 18474\n14503 18987\n1514 19917\n1117 3644\n289 6312\n7300 20825\n4708 13617\n2290 10588\n9789 12630\n14061 15247\n6290 9866\n8145 18596\n5679 11885\n9182 20322\n10425 14172\n9426 16002\n18193 20903\n2779 6944\n4451 13774\n12828 12945\n5505 16729\n2896 2956\n1289 11714\n4092 18300\n3570 8381\n16949 17562\n6769 8425\n4320 13555\n4618 14191\n991 11610\n15352 20692\n3078 19491\n5270 11528\n5604 6561\n18156 18979\n1045 19595\n4915 18991\n8221 9060\n4147 18689\n782 5832\n1980 9184\n12912 14790\n5392 7939\n6629 13549\n714 11563\n614 6738\n6662 14130\n8188 12840\n3409 19135\n104 6990\n3402 3866\n9524 13945\n2906 3443\n7703 14609\n54 3799\n16477 21077\n5143 7980\n294 15748\n612 4842\n10182 20874\n3317 4791\n7475 7723\n10262 21042\n4869 14865\n6024 18988\n1530 20974\n8069 11050\n7483 17967\n4562 11928\n5758 13876\n5009 10980\n4339 12522\n5431 8974\n17761 19208\n7528 15109\n15661 20864\n12125 18677\n2661 13478\n2875 6610\n2040 6384\n1759 4306\n8246 15460\n8505 13774\n10233 16760\n5193 13427\n8281 10980\n1446 14595\n3266 16194\n4904 16107\n5902 6495\n16995 18611\n10980 17951\n6886 14504\n644 12944\n11050 19290\n1985 18476\n170 8367\n3622 4584\n584 8287\n5796 15702\n13660 14824\n11068 14274\n7122 16926\n16728 18718\n19613 20172\n2025 8898\n7477 15501\n7626 12699\n9081 13150\n8405 20361\n1835 11337\n15025 18948\n12389 20846\n7860 17188\n13740 14899\n1949 9542\n6934 10918\n7681 7999\n6823 13466\n2462 14120\n7747 13636\n5857 9586\n18942 20830\n1875 20889\n7626 13194\n4018 10903\n8466 19339\n13210 18277\n19325 20634\n2787 3303\n1391 12639\n14198 17592\n18953 20210\n9461 15548\n5874 8840\n2015 20391\n10987 17279\n16076 16227\n2914 9998\n13413 17400\n1406 10966\n1731 6375\n14427 15176\n16918 19792\n11157 19710\n4621 14939\n8219 13428\n9743 18867\n7367 21148\n875 5979\n7086 14275\n461 19762\n10455 20400\n6301 20523\n3937 14425\n1829 8603\n5505 17349\n3160 13136\n1760 2892\n2889 3315\n1828 19302\n6491 14943\n178 9346\n9909 13719\n5910 19728\n7282 17182\n7001 9580\n4804 16297\n9465 13227\n18599 18723\n12930 17019\n3566 18730\n6016 7165\n791 10971\n12345 21100\n11829 18082\n4570 7466\n293 19366\n2912 13838\n2369 12776\n13234 17976\n4020 14903\n570 6295\n7517 20018\n3040 21022\n12159 16437\n5676 19210\n15771 19249\n3059 13571\n9394 14802\n4647 19632\n15347 20663\n1607 2398\n2849 18428\n5950 7438\n429 3195\n7000 17802\n12285 19187\n5125 9286\n8529 19557\n3381 12380\n1949 10661\n573 2255\n5243 17853\n3733 13738\n9342 15379\n4885 11633\n4606 20111\n5623 15980\n7422 8357\n15937 20850\n3649 3790\n1094 18412\n4425 12863\n2391 17273\n3356 8241\n4136 10899\n6369 12929\n11572 20830\n18595 20077\n16540 19483\n4111 13377\n12962 14012\n11893 17889\n8595 14812\n2778 10089\n9212 18906\n8484 13625\n16653 18438\n2917 18125\n3513 16793\n5359 6281\n2070 8898\n7008 16559\n2425 8714\n9623 17885\n7743 11876\n2459 3965\n2659 5995\n11507 19754\n5850 7053\n10306 19624\n15889 18407\n1228 2814\n3828 16723\n10577 18459\n1945 4917\n8494 12387\n1714 19098\n16420 20551\n5553 21090\n9020 13451\n10154 17400\n1289 20766\n8112 19065\n11917 18641\n17695 20233\n2225 17602\n2848 15371\n18694 20871\n10441 13272\n5403 12585\n6559 9684\n12142 12896\n83 2865\n5493 13489\n5742 16053\n15178 19438\n129 15264\n14371 17970\n671 5153\n3655 20026\n4726 16834\n7671 20099\n13800 17375\n6556 14146\n6027 15531\n6090 15532\n17525 20099\n7728 16049\n8520 15035\n2019 7072\n392 5775\n253 18402\n8490 11990\n352 7561\n9095 20257\n7920 21148\n8046 19473\n2646 14283\n1596 4637\n301 5186\n15412 16740\n8483 19068\n1986 18820\n9705 10440\n2775 16813\n1453 4876\n1473 20145\n5137 12317\n7741 8505\n11340 11853\n4725 6005\n486 18188\n8532 20688\n2002 4701\n14819 20500\n15284 20240\n1814 17380\n2255 13786\n3632 11740\n7218 15902\n17838 18071\n12803 14467\n2204 15025\n10044 14138\n4544 12131\n13115 20801\n4086 19275\n4596 15055\n4902 12656\n12485 13633\n9385 19756\n537 13814\n6743 21031\n9209 16515\n13838 17032\n2677 18824\n3151 19132\n10094 18310\n2352 15212\n490 2320\n9690 11268\n19104 20818\n1053 8109\n6211 15584\n377 13681\n12796 19566\n1057 12180\n10237 15409\n11350 15360\n1999 10452\n12764 18219\n17566 19742\n6536 18542\n12583 20765\n1650 7507\n7542 17459\n621 4184\n11531 12660\n1795 16673\n11847 17598\n12106 18912\n4411 17457\n6001 16597\n5455 18550\n8911 10469\n2660 11308\n1431 21048\n2348 6015\n970 10111\n3020 19145\n271 13722\n7790 12013\n34 9412\n11680 14595\n3395 10841\n3393 19331\n9201 10447\n2702 17410\n5412 13240\n3521 17036\n11725 15270\n7239 15765\n10200 19830\n3359 4947\n7029 21104\n1613 6390\n6272 15149\n9815 20419\n2139 18687\n3481 16405\n206 11252\n6397 8693\n1409 12160\n12176 17394\n8128 10458\n1140 5785\n11899 19771\n2327 21110\n2005 5113\n2198 13825\n15848 17458\n8515 20524\n2063 8686\n1879 5906\n7125 18755\n5090 9011\n192 16469\n280 2668\n8699 12414\n2182 5446\n1959 8566\n15863 17208\n6419 7118\n6074 8796\n12794 14408\n1508 19019\n4639 18658\n2780 9588\n18438 19313\n5466 18258\n6573 17849\n1667 11624\n7893 15154\n5591 6464\n6188 15664\n4191 8554\n15681 19480\n216 19918\n8829 13781\n8127 14784\n8591 12659\n6305 9295\n5928 17701\n2061 5976\n107 279\n5088 14797\n1708 11468\n16723 20199\n6514 8594\n4719 11264\n9125 13819\n6611 18523\n14819 18698\n3557 15119\n16543 17454\n3357 11470\n14107 16912\n2401 12207\n15059 19212\n13573 19089\n14455 15316\n1154 7346\n15487 18617\n11205 12973\n10285 14619\n291 19950\n3181 16808\n10007 17475\n71 17666\n3860 9665\n17217 19247\n4556 11854\n2250 7951\n17624 19817\n7242 11986\n1720 9809\n3128 8996\n711 13654\n4544 21139\n3251 4545\n1600 3341\n6937 15778\n9733 17747\n6281 18636\n1720 20400\n8151 10126\n3866 14181\n15136 16822\n12201 20446\n6991 9471\n8537 16013\n10036 12769\n4528 9214\n3953 19760\n3604 19199\n2023 10919\n6353 15384\n6614 14522\n4088 6444\n8514 14981\n2607 16593\n905 4711\n2322 4549\n1520 20108\n8749 18210\n4151 6833\n2302 16939\n13201 14965\n1144 12689\n812 11628\n3211 11656\n6707 7354\n5446 17726\n3586 3977\n1372 17790\n9385 14370\n130 14739\n3699 18612\n7896 16515\n15165 21181\n5311 16193\n4719 20713\n4434 6397\n12119 13569\n16793 17649\n12283 20394\n13816 14112\n16131 17848\n5316 15033\n9076 11589\n2421 9176\n12408 19654\n1187 2617\n272 15470\n9024 13045\n4107 8542\n2 4198\n2532 15137\n10296 19658\n13004 13499\n2594 17717\n9120 14426\n5583 11505\n2059 15779\n17128 18989\n14738 17189\n9963 11370\n11708 19328\n6110 15770\n15577 19045\n6519 10316\n8133 18994\n4477 19017\n8667 15373\n3111 6808\n8443 12923\n6970 20397\n6973 15844\n17727 21122\n9505 21186\n1415 8259\n5458 9975\n5530 12572\n323 8720\n4296 16185\n4803 5766\n8185 18809\n9561 11704\n3286 12808\n14065 14175\n1888 20865\n6957 7861\n11771 14942\n1648 8590\n2630 11980\n8557 15785\n6319 6415\n8019 9203\n1001 3841\n11763 20228\n14780 15690\n4233 20884\n36 2387\n8849 16137\n1381 1562\n7808 9654\n13950 19850\n6782 14094\n12071 17918\n10468 13848\n13287 14736\n18992 19961\n10673 12571\n13388 17214\n17165 17857\n7057 14971\n3283 16282\n8281 10526\n10680 12406\n13910 18887\n7691 11142\n16726 20165\n4986 16001\n9435 11238\n1381 11263\n1937 2331\n3948 7645\n170 13108\n10863 18890\n1268 10782\n11891 14112\n726 3353\n4169 18640\n3080 17638\n11847 20635\n18453 20392\n7316 8660\n694 8924\n12513 20352\n618 9939\n4097 5476\n19704 20128\n4983 17731\n16809 21151\n1700 15350\n3886 16916\n10290 14432\n2010 6581\n3128 7650\n16865 19799\n15780 16802\n2099 10681\n7039 15786\n8271 16711\n8586 20113\n8923 10569\n10124 10174\n9047 12153\n5737 9601\n8396 20415\n2902 6274\n503 18901\n15026 17919\n11043 17116\n257 9012\n4835 18173\n14955 20431\n4350 11409\n15126 18937\n1418 13426\n8591 11086\n1190 4951\n6418 17481\n5068 14019\n1627 5910\n4370 12427\n6244 19708\n7362 8476\n10591 15359\n617 10646\n9665 19322\n10042 19822\n3743 16425\n19873 19881\n818 4564\n8284 8342\n13737 15059\n410 3685\n867 17374\n4274 16529\n20196 20964\n11365 16369\n14594 18433\n503 15865\n13328 14858\n679 14405\n836 5468\n12770 14007\n1517 4405\n832 14148\n272 6866\n3664 15529\n3075 21041\n12283 17800\n8594 19748\n6703 11836\n4592 16555\n6077 15085\n519 14410\n14192 16052\n1749 8808\n2470 9871\n13106 15018\n3541 9452\n7912 11928\n1193 5550\n3770 5158\n7936 12521\n4991 10175\n1405 12488\n2015 6056\n4390 9458\n5484 14328\n3065 17151\n5796 10606\n1510 12220\n12405 20945\n17707 20291\n8294 11796\n4082 11182\n10141 21092\n2682 10265\n10816 18448\n4163 8479\n14127 17664\n5900 14501\n6677 18476\n17554 17750\n4017 7451\n4414 16253\n7713 15106\n11989 21148\n11710 13734\n8834 17593\n5383 8089\n4977 10534\n18287 20528\n6166 16922\n1435 19407\n18210 18342\n10290 13900\n2288 10005\n14644 21036\n7767 18789\n14517 19892\n5295 6167\n4412 8975\n2109 8103\n15447 17937\n5315 6011\n3074 7595\n9704 12002\n15679 18153\n10739 20149\n4991 12261\n7691 17023\n2811 19477\n8871 10566\n19050 20373\n6314 17079\n10391 11321\n4908 5677\n5229 18261\n2304 16885\n14996 19469\n1913 11689\n3118 14926\n9053 17896\n2209 19250\n9794 15624\n9154 16864\n1261 16920\n1906 8710\n8214 17148\n6618 11764\n2974 10443\n5986 14202\n273 5914\n3440 16030\n8448 14041\n9102 10862\n3555 9529\n2808 5191\n1393 3156\n10513 11330\n3155 6625\n3738 20466\n10672 19276\n12204 13443\n4864 10905\n7382 14434\n9072 15368\n11100 19266\n9698 14869\n8734 14819\n4236 6662\n9702 9745\n15656 19897\n2553 5717\n1932 9368\n2653 4347\n8077 10551\n3622 11499\n10751 13224\n1931 5991\n8052 19298\n6840 19980\n9822 12088\n4602 11934\n13120 16170\n479 17174\n200 4834\n1520 16243\n16613 19788\n2815 10299\n7125 21153\n8722 15644\n11623 17379\n11996 18901\n4286 9989\n5184 21046\n18241 21005\n6250 6287\n1177 5177\n16266 18758\n2293 4359\n4677 20309\n4258 15967\n15486 17848\n6520 15725\n19815 20170\n2745 20586\n792 4871\n15520 15938\n6223 18762\n9104 20936\n9364 18248\n7486 7512\n8629 18781\n808 13687\n6804 7196\n3314 20212\n7326 17495\n3072 12863\n656 8176\n11171 20362\n4863 6055\n7758 20308\n3349 13276\n9872 10770\n11668 19639\n14593 20490\n1087 11319\n958 6091\n9256 18674\n4125 7196\n9074 19032\n5143 18423\n571 4735\n4060 20662\n667 5056\n4524 5606\n12891 18331\n4632 4809\n6746 11604\n5580 6011\n9016 9271\n17819 20618\n2999 15806\n8801 15275\n504 13587\n6090 16666\n3133 9208\n9993 11765\n1312 19739\n4215 16954\n10900 16356\n10471 20770\n3401 15229\n14561 15217\n8896 11866\n6507 13565\n8633 9117\n13770 15170\n7383 15673\n455 13287\n6178 16615\n3531 15325\n4742 9323\n8776 17422\n10112 11565\n10078 11775\n3255 16643\n9519 18241\n3464 4641\n2965 5855\n6553 14696\n8182 20281\n6242 11516\n13606 15210\n3069 13231\n3910 9699\n15834 18147\n13308 18310\n8794 10630\n40 18830\n2915 16312\n5182 14708\n6121 12265\n6635 16767\n5752 19073\n8793 12082\n6116 12568\n4367 20020\n4842 16572\n2222 2464\n2197 8653\n5100 19833\n17915 19993\n582 6398\n12569 17400\n3207 6946\n6247 7268\n2237 4279\n1790 6416\n4264 15077\n7031 18822\n10556 19051\n4718 11374\n78 7981\n2942 15880\n8678 14751\n2302 11283\n6746 7863\n8078 17382\n15544 17911\n15047 19258\n2559 11420\n7220 12136\n5392 5894\n4853 18496\n2558 5544\n2539 6677\n3023 19250\n10703 13775\n1879 13373\n3549 6409\n6870 7591\n906 19333\n11908 15408\n4888 12654\n4036 9678\n14448 17626\n1074 2127\n6836 14450\n4497 20872\n2270 2730\n286 1456\n10623 16070\n4733 17266\n7994 16271\n1224 15057\n97 2379\n3823 7212\n11055 15363\n3923 5172\n12386 15870\n1299 17572\n14815 18141\n10515 18805\n10297 16335\n104 2944\n10382 12940\n563 4928\n6205 9132\n16555 20851\n13093 16949\n3857 18231\n10124 14018\n17250 19608\n16713 19689\n8143 11609\n5450 15842\n4784 10480\n1306 9673\n726 8426\n6359 11264\n13765 15769\n1824 12522\n9900 12510\n7914 19973\n1735 17342\n7071 16848\n9104 14730\n7398 20887\n3211 19465\n1663 16717\n6374 19188\n1101 15932\n11698 18109\n1010 17537\n7732 19421\n1546 4384\n15074 19292\n6247 14142\n13621 15527\n10840 11169\n2558 10990\n1700 13348\n4012 17498\n15113 18241\n8090 16978\n10159 13193\n7645 18209\n2605 3000\n5497 20540\n9964 18445\n3599 10392\n2103 16267\n109 16161\n9064 16921\n3976 18607\n9241 13077\n1076 13322\n265 8926\n6244 11336\n15361 18875\n12143 20419\n19430 20426\n6135 14621\n93 8259\n5451 10686\n3724 15785\n525 13766\n12322 13576\n320 19476\n13101 15648\n8180 14742\n1601 9522\n4032 17089\n11616 13812\n1420 14327\n19678 19775\n13394 17500\n6183 7098\n3291 13527\n11008 13217\n14435 14726\n8258 15003\n15429 16088\n13876 16313\n4457 8687\n5523 19858\n5644 13959\n4616 18119\n8569 10681\n4345 11756\n5116 12063\n4867 11310\n14208 20054\n164 15183\n12103 21041\n10238 16694\n19076 20667\n9665 17124\n1840 18139\n2530 10488\n5452 17608\n28 15242\n1317 2273\n224 6860\n358 18748\n4292 7454\n7163 11088\n3558 17924\n9299 12221\n4530 4808\n11067 18583\n1102 18867\n4861 10605\n12608 20336\n9959 17230\n11958 12252\n13732 21056\n113 12645\n6239 11620\n5774 6895\n806 12799\n17127 19696\n7228 7994\n4724 12283\n11846 16282\n2235 17623\n19912 20577\n3620 6916\n2212 18497\n804 808\n5779 6914\n5169 18063\n4006 6710\n1536 4030\n9013 18273\n6337 17466\n7786 14693\n11319 14423\n16957 20644\n3356 14325\n5052 5084\n11860 15400\n3349 6563\n10998 14501\n153 15834\n9312 12310\n4542 15619\n7000 19646\n4731 15639\n7960 14754\n10305 12040\n12974 18404\n3489 4030\n9390 16483\n7221 14217\n15322 18587\n2956 9773\n686 11345\n2067 14846\n8636 16499\n9412 9429\n11538 18509\n2849 17171\n11870 13922\n5020 14332\n659 15781\n6789 18761\n10811 17331\n1224 13500\n7702 13229\n13189 19280\n5467 17949\n2098 14607\n13235 19217\n616 1359\n3360 5015\n5910 12287\n7008 19586\n5890 15514\n13996 16058\n4423 11027\n11967 17878\n8427 14832\n6581 16839\n9784 11074\n12126 14384\n3501 20125\n14741 20391\n13653 16365\n462 1690\n204 18787\n618 2093\n9760 19049\n7125 12834\n3727 18197\n2497 5581\n4689 15268\n13009 16891\n9423 13529\n13 2225\n7152 15547\n13402 17003\n5928 8938\n16964 20314\n2020 4323\n3228 16073\n3233 9461\n496 14400\n12460 16085\n4106 4157\n11168 13076\n1910 6627\n2260 17235\n8579 14919\n11898 19542\n4640 11901\n14150 15846\n969 7948\n3950 16950\n145 8131\n7959 17231\n13309 14315\n4554 16654\n629 2786\n12323 12445\n9358 17059\n1490 12369\n9190 15424\n15589 19605\n5247 16360\n7521 7821\n11971 16698\n1819 9660\n1159 5163\n8950 20738\n11936 13196\n19036 19191\n217 1964\n3540 18891\n3191 11230\n2998 9404\n10438 15347\n1871 5208\n13655 17650\n6634 16062\n4013 4980\n5520 12639\n4056 9486\n7458 18539\n4212 19569\n4504 17643\n6632 20294\n14267 18830\n14017 15320\n5099 11994\n38 11748\n4676 17187\n3989 17547\n6576 10012\n5321 11672\n9677 18908\n6441 18352\n7749 10996\n738 20917\n13929 20225\n614 20655\n7368 19755\n14411 17293\n5310 12050\n13567 20312\n10302 13018\n7673 18711\n5394 11809\n2528 16053\n9596 14704\n2828 12272\n6209 7911\n2045 12483\n5053 17046\n8632 8930\n4779 11276\n10629 14468\n23 20696\n10281 15866\n11454 11990\n485 16674\n954 4987\n8240 12645\n12167 17453\n12108 19292\n2019 2895\n18945 20292\n13752 14678\n12866 18244\n490 11669\n12303 13039\n1197 7229\n4824 7815\n7077 9649\n16794 18520\n1322 20471\n4227 13732\n10367 18512\n562 7176\n8571 16522\n6466 14490\n16964 17995\n13995 18903\n15645 16337\n15646 17773\n2516 5211\n565 16986\n2292 5943\n7756 21041\n5414 14241\n7538 12796\n14370 19060\n4728 20110\n7990 17170\n12504 14801\n3747 5461\n9528 12879\n3680 19965\n7179 10112\n1968 20459\n16931 17236\n14747 20108\n9994 13759\n7425 7888\n14435 14617\n12168 20661\n10487 17521\n11308 14010\n1966 6424\n6593 13268\n3414 18345\n5835 20444\n2664 17906\n8846 11084\n9022 15253\n6 15215\n1421 3782\n3357 6754\n12241 18347\n10442 17107\n5282 11240\n1139 8324\n6190 18483\n1454 19630\n8033 19962\n10797 12045\n144 14357\n13379 19791\n3974 10641\n8700 13370\n20139 21086\n6446 9061\n8381 10199\n5929 17794\n336 17130\n2199 8768\n10283 14038\n14823 14911\n934 5400\n3573 17418\n8633 13193\n11917 18956\n3154 11095\n1349 17736\n401 15170\n15233 16080\n16017 17229\n4633 16451\n661 6666\n938 15529\n2067 4817\n11885 18145\n15126 16484\n9683 17203\n850 5218\n13238 14132\n3283 13389\n15309 19485\n1491 4925\n15401 18529\n2776 10841\n15105 21184\n2572 13225\n15445 20126\n3982 12317\n10529 13093\n255 1095\n5630 7199\n9800 19075\n10948 16712\n12161 13340\n2275 7018\n165 2901\n12265 17777\n5279 19243\n6943 10934\n13707 19899\n145 11279\n281 12293\n3286 15361\n4238 7226\n2845 10946\n13587 14208\n1788 5678\n205 11207\n6299 12381\n12609 15952\n4041 7885\n880 8167\n12584 20317\n12067 18896\n14091 17925\n7016 17883\n12843 14866\n534 7647\n4882 20502\n3940 20200\n3528 14340\n5755 13713\n4795 18997\n2137 13341\n5430 17506\n8024 17765\n14718 19863\n4838 18685\n3193 17647\n1901 6553\n3248 18118\n2724 20322\n327 924\n13076 16745\n1995 4562\n1608 10515\n8998 18224\n2867 11048\n17893 19546\n386 968\n11666 16510\n5883 16037\n10589 13600\n14339 14781\n723 10991\n14246 21002\n13052 17428\n7119 13531\n2695 2852\n9607 11166\n9813 17844\n1398 3993\n4189 17555\n5365 7954\n10849 13957\n10907 20105\n6938 12312\n1513 2660\n9597 11237\n422 885\n16945 19076\n4906 10524\n706 9371\n4567 10891\n4360 8822\n4985 5582\n5650 20408\n3767 8282\n6520 15992\n2578 12342\n13088 13236\n5530 20192\n7187 19944\n4637 20723\n8360 11374\n8049 8342\n14392 15742\n5533 20656\n2108 13162\n4007 6586\n4519 5344\n5939 20655\n6195 13687\n15020 17339\n17167 20748\n7491 16812\n15329 16936\n6796 15476\n5392 9400\n2357 14778\n9988 12590\n13139 16534\n6242 9670\n2608 13202\n2156 8143\n12427 16154\n10192 19141\n15843 19196\n2989 15745\n1084 18529\n1537 18921\n6593 11908\n14686 20307\n14581 16308\n4209 19120\n4038 18857\n3622 17865\n13823 15801\n13797 14057\n7103 7960\n7050 18857\n1744 20280\n12491 15610\n5549 19008\n2030 20462\n1587 6792\n8640 19132\n1001 3467\n16488 18532\n5386 20162\n8200 12874\n79 4507\n4719 15033\n8494 8880\n2547 18333\n18686 20305\n11817 15951\n5708 16624\n3685 11171\n10471 11713\n1314 16552\n12105 19541\n16711 20733\n6929 13533\n168 9000\n11546 19237\n7054 11702\n4836 14136\n7200 17380\n10648 14206\n14399 17884\n13975 19097\n13590 18159\n10600 15468\n15053 16196\n3262 19438\n6095 16367\n4821 15285\n1787 4509\n14374 18992\n14039 15702\n15030 17795\n926 7626\n634 14761\n1252 13331\n16313 19888\n1912 18183\n19476 20052\n2031 7996\n9885 14852\n11712 11901\n7569 20508\n11584 11678\n4500 17566\n14310 14996\n1856 7183\n3908 11536\n11778 17181\n12892 15409\n8405 16191\n8418 19850\n3317 17754\n7745 13253\n4563 11584\n10386 14693\n12884 21093\n9780 14640\n12505 20890\n11318 20675\n13012 18482\n1729 2026\n7829 9464\n6953 14647\n3091 19657\n4312 19188\n599 1304\n9808 19882\n3589 6334\n6866 14790\n1346 20026\n3095 15710\n1424 14203\n4723 20458\n1941 14621\n2078 17110\n3409 5937\n2236 2658\n801 11357\n2221 12259\n211 11080\n4338 16480\n7834 14984\n10948 18385\n3221 14938\n208 7945\n10401 17892\n7671 19054\n12205 14526\n8732 10032\n13237 15092\n4206 17687\n14513 17663\n3664 16583\n792 11437\n7901 10553\n2857 11592\n15978 17317\n2525 18393\n3952 11905\n10698 14799\n1390 16158\n10725 14676\n9492 14617\n2848 4221\n7434 14676\n4283 18194\n4475 9677\n91 2603\n12866 13856\n7970 9764\n2407 18133\n2141 13398\n13186 15634\n2346 10701\n1553 6178\n5402 15097\n8918 18699\n7233 11374\n2008 10376\n599 13967\n9706 10016\n2498 13308\n1586 17128\n6845 9854\n11185 14404\n3927 13312\n7671 15506\n4823 9817\n7369 14554\n2964 20679\n7171 18134\n18428 18593\n3802 16606\n1363 15463\n12941 16723\n11099 20303\n12969 20459\n12005 18217\n14776 19776\n7871 9837\n9797 20201\n1810 5669\n4275 13393\n3383 13525\n3176 11717\n8533 14495\n13440 16231\n2618 3998\n1660 13534\n11462 12676\n881 2587\n232 6567\n5658 19169\n692 20202\n8053 12085\n16710 19603\n976 1365\n10446 20492\n8866 10196\n568 17443\n7276 12305\n8087 16350\n6738 15455\n1906 16141\n3722 4286\n897 6036\n4922 10759\n8383 17886\n7924 8838\n18438 20476\n4460 15413\n3671 11511\n212 15442\n1822 8478\n5716 20880\n3722 13170\n8485 21042\n2085 2782\n390 7840\n2800 18270\n12198 18859\n488 19206\n16705 18957\n1866 2556\n642 13294\n12287 20090\n3337 17656\n2684 10009\n4010 17875\n16163 17310\n11047 20410\n6347 11259\n3100 10977\n1736 10367\n7634 19699\n405 6548\n13177 20098\n6485 13422\n9568 10961\n15282 18175\n9735 18091\n15101 19335\n7268 19714\n6877 18383\n280 14527\n7359 16966\n10129 11027\n7805 12502\n1013 20092\n7328 19092\n6936 9256\n6606 20030\n1298 13552\n18495 18703\n14291 15004\n4928 20581\n10065 12497\n7325 19670\n6827 7777\n5041 19582\n1411 20941\n6002 14056\n14175 16607\n9232 15773\n4580 11479\n18241 19398\n8065 13439\n14718 17424\n8689 8790\n3457 13690\n2981 8952\n2978 7890\n2356 12738\n7796 16919\n4109 10017\n4051 4359\n15293 21027\n5434 9142\n2281 17609\n16760 20796\n9218 16330\n5435 17065\n5966 11105\n4437 17907\n7611 18746\n8457 15496\n1873 18368\n1812 19883\n5739 12316\n7374 14891\n2393 7848\n17578 20684\n8113 20043\n1757 16468\n15101 15630\n2110 18574\n3398 15390\n14763 16826\n6764 13185\n13645 14938\n2943 19744\n7595 20519\n4477 9690\n7763 13089\n3484 5747\n128 1972\n8734 17512\n1461 2685\n9931 11481\n1710 21125\n5145 8631\n4554 5500\n16218 18631\n4596 10075\n12705 20990\n9025 16918\n5234 19967\n7568 15348\n5770 13163\n296 839\n8760 14051\n8123 14531\n282 16377\n573 9015\n13350 16819\n20525 20832\n2974 7031\n10742 14348\n1775 11924\n985 11707\n5307 15640\n6425 8797\n11624 18905\n3925 14528\n3226 4389\n13213 15093\n9551 10822\n4613 18902\n6747 8350\n117 14770\n4224 9499\n11921 17489\n5103 5387\n12360 16098\n10246 18177\n4315 11949\n3443 15664\n3564 14021\n5326 5891\n16412 17817\n7750 17814\n12684 14814\n8369 19039\n14772 16669\n4731 5429\n6096 20189\n11911 19439\n5335 15492\n9126 17241\n10518 19149\n6418 8906\n1004 16796\n1059 18126\n969 3814\n4648 18281\n2221 13781\n3821 10344\n9961 12331\n10055 10699\n2205 3963\n9160 20797\n10626 15757\n7844 9508\n19055 19247\n4898 12304\n9640 11127\n9324 10260\n6420 7897\n5012 12441\n737 20272\n5125 6967\n1872 12037\n15654 15904\n10340 12237\n5098 9854\n6510 20687\n7600 13214\n651 16880\n2503 4545\n903 12502\n1421 15627\n1414 3030\n17684 19555\n9814 17619\n780 2941\n5626 6815\n1946 18515\n4187 18812\n4759 20106\n8796 9912\n3781 17211\n5790 10150\n8434 20597\n7746 13289\n10677 15090\n9850 11021\n276 11304\n3357 7493\n6421 15365\n12692 19076\n5226 17734\n9033 15842\n1962 6508\n12627 13538\n12859 14105\n9568 14066\n3163 16497\n2506 17355\n8845 18276\n17934 20469\n13279 21099\n8070 9352\n8391 9301\n10323 17655\n2954 10874\n7525 16135\n8082 12792\n11708 15354\n4976 7530\n6240 9369\n1809 19468\n7806 9698\n2559 11550\n3820 18228\n2937 16602\n558 6762\n13054 16966\n813 5868\n6970 20438\n1163 1818\n6858 9998\n2797 20420\n8856 17160\n5927 16339\n1317 6970\n2063 17190\n7240 20294\n6905 12300\n5214 9968\n8188 15441\n2581 20629\n13032 19633\n1892 4000\n9485 12947\n1047 6202\n9659 20332\n170 310\n16913 18225\n7322 15796\n542 1472\n9662 13531\n2953 17319\n7522 16938\n13146 17078\n170 409\n586 14161\n14508 15755\n3399 3947\n15028 17932\n601 10882\n138 19201\n1049 9728\n3014 11856\n15784 19408\n5496 14198\n9248 14849\n17739 18579\n221 9734\n7589 20122\n416 7964\n6243 7389\n927 10569\n6474 7293\n12789 12971\n5468 9506\n14429 17227\n678 13848\n310 20114\n16060 16281\n212 10069\n11119 19366\n5714 19314\n3629 14835\n2558 18929\n9093 12942\n16750 19540\n4044 6873\n2118 7138\n3884 16290\n17931 20819\n851 17559\n2051 19132\n720 12479\n18164 19648\n2407 17456\n2147 2984\n12980 16286\n5354 14292\n11552 18347\n18791 19774\n11514 15150\n13408 13824\n15128 19629\n2366 16694\n18534 18958\n2739 5589\n6616 13931\n10373 17569\n13304 14978\n1088 6382\n4275 13822\n1386 8126\n3299 18139\n9670 18936\n832 8781\n10381 11881\n6213 11002\n11227 11377\n17826 17972\n980 2834\n6116 20373\n2490 11560\n18752 20677\n8853 12452\n4290 13892\n5564 18311\n568 20998\n3611 7365\n16495 20885\n16256 16872\n5711 13363\n2277 17978\n4321 13476\n5821 8174\n4083 20747\n12395 18981\n6910 11381\n6230 17496\n400 9984\n14547 15890\n6233 18775\n9935 12688\n3883 16941\n5178 17755\n2658 12984\n7974 16242\n12658 12903\n7157 13594\n5888 11847\n1966 17007\n7799 18898\n15658 16585\n12821 15080\n471 15963\n2312 18850\n4701 9268\n6026 14336\n2503 16599\n15223 17044\n3707 5329\n6363 6568\n12452 15317\n18411 21087\n2066 14373\n1133 1244\n11137 18259\n11890 15482\n16127 20290\n13799 15694\n2527 7819\n1527 8876\n6302 15693\n9785 15987\n18124 18540\n6014 18941\n12080 19076\n905 18321\n2295 20150\n20454 20738\n2573 17673\n9167 12355\n3569 20979\n9664 18534\n9258 20535\n11128 12815\n16038 17015\n8871 20270\n5250 15104\n7225 12335\n4644 8716\n4006 16831\n4857 9681\n4733 7944\n721 14192\n808 10135\n1723 6122\n5471 20492\n996 9584\n376 7717\n3170 6295\n13144 18485\n7239 11915\n9309 13036\n18904 19528\n5871 17243\n11523 18906\n1759 7819\n9516 17395\n1480 14047\n12664 15065\n10161 17268\n4160 18124\n435 10724\n5808 20585\n3567 16688\n401 19571\n1419 2564\n10419 10783\n10156 11366\n16217 20358\n3180 8117\n12540 17320\n4901 10842\n2831 3751\n1766 6528\n18578 19531\n373 15209\n8218 18893\n14148 17493\n3432 10309\n13413 19976\n8182 17567\n10672 11806\n6502 20082\n15983 20653\n4165 8152\n1418 19698\n13233 21061\n4613 12262\n11361 12217\n4485 5050\n8631 13943\n10663 16470\n8267 15217\n7699 10687\n3782 10086\n3790 14021\n3298 20206\n6582 16093\n6358 11386\n3654 8486\n2375 18068\n9086 10959\n6235 15909\n10477 17076\n6937 18593\n31 13875\n2304 12328\n491 14914\n10230 12364\n1795 17799\n4097 5749\n4322 15914\n795 15107\n17494 19549\n19710 19958\n5072 17802\n12066 16563\n9722 17863\n5825 14909\n7081 18491\n15303 20458\n9303 16946\n5558 8053\n12450 17907\n7833 16129\n5888 19456\n10695 17499\n6107 11666\n2598 10890\n6193 13962\n2904 6651\n8571 17305\n92 18124\n1984 9495\n10173 17457\n6450 8233\n2132 5537\n11717 15924\n965 9733\n3029 7255\n12630 18156\n16348 21096\n1477 4778\n8967 20904\n8958 14449\n12506 21091\n19712 20251\n6865 17974\n7731 15109\n10652 15722\n9107 16255\n13260 13661\n10368 19763\n9893 14944\n5243 9109\n6361 20653\n6444 11894\n1317 1371\n14838 18988\n5529 9800\n1816 9474\n9054 19220\n14918 18735\n5116 9752\n11994 20018\n9251 20840\n5060 20128\n10519 15056\n16368 20706\n9298 20334\n8465 15381\n6228 14334\n10692 13846\n9061 9270\n8719 8963\n14103 14487\n9943 13308\n14009 16952\n7007 18403\n18184 19901\n1027 7187\n2361 19592\n7607 10676\n3658 18539\n6490 13846\n545 16211\n10145 15582\n11075 11664\n7923 17984\n9955 14058\n10969 16062\n14903 15569\n4891 6659\n12635 14666\n17194 20421\n847 2261\n2413 5331\n4918 8454\n14781 19976\n9717 20740\n15000 20800\n7997 17223\n11228 15422\n840 8973\n15923 17979\n1148 20769\n10729 12741\n2105 5819\n15042 16044\n11863 19289\n17658 18598\n14817 15668\n1691 17569\n1272 6761\n10549 14434\n3066 14827\n4333 16986\n10067 14392\n12242 14602\n1919 2788\n3812 7917\n9200 12007\n13690 14322\n6519 7786\n934 1968\n735 1154\n4559 20330\n12636 17053\n16889 20622\n1308 12470\n1236 10039\n4466 5995\n2980 16069\n9329 14685\n7854 12242\n1322 19818\n6122 14404\n7490 14702\n48 10302\n7316 11471\n1779 3570\n1367 10173\n1384 11516\n793 12169\n1141 15999\n7549 18082\n5993 8579\n135 668\n18775 19042\n12652 20266\n1839 2740\n3987 6661\n2497 2704\n5928 16796\n15849 19563\n10027 12024\n2857 19902\n4449 8262\n748 3004\n5426 20117\n4433 7077\n14037 17598\n5477 12132\n6730 12735\n2701 11439\n12206 14960\n6064 7480\n556 18326\n3730 16705\n2513 2676\n3289 18256\n4130 12827\n13679 21138\n5115 13029\n15435 20055\n43 3616\n16099 17909\n15526 18032\n197 20697\n6132 6223\n8998 13013\n6704 10068\n6909 10441\n2355 9742\n591 14793\n1893 6363\n8328 11954\n6771 15230\n3193 12969\n2014 10563\n8299 9140\n2739 5112\n698 3529\n2924 17217\n10395 13951\n5570 10549\n4980 6567\n1932 11500\n10917 12954\n4723 14613\n6729 11932\n13891 19628\n11065 16526\n374 12839\n3567 9969\n6196 9328\n16654 16928\n10760 20360\n113 16549\n8352 20273\n7325 16462\n11806 18193\n16803 19408\n4756 13135\n11232 14426\n3800 4138\n3297 6481\n7913 19876\n11108 18047\n12919 19980\n1740 18789\n13561 13644\n10982 14216\n9356 17595\n6079 17858\n10260 10617\n16045 20360\n5916 14190\n17334 17806\n8313 12123\n3239 7936\n18417 19254\n8844 16436\n4626 9783\n10524 19469\n4171 15271\n11086 15006\n2328 20872\n11361 16974\n3635 16309\n6888 16149\n10563 12609\n4884 20501\n4819 12639\n6836 19171\n5138 8980\n462 17352\n77 2686\n6211 11388\n135 13436\n6802 12294\n262 1992\n4130 13306\n2141 20240\n10951 19932\n2504 9094\n3424 8418\n6889 9984\n8294 8447\n13748 16780\n3131 15987\n3593 7157\n442 469\n3606 10873\n1988 5966\n4589 20942\n10197 13803\n560 18825\n7519 17402\n182 20949\n10095 20497\n7981 9175\n4469 20754\n3712 10946\n13155 15175\n348 1909\n1630 5836\n14860 18155\n7791 19211\n97 4193\n16475 17861\n12759 17681\n4186 9895\n10571 16249\n7424 10067\n4262 8112\n30 7480\n5605 10732\n14508 18985\n7723 18072\n567 11630\n9317 14468\n829 3748\n10190 10761\n4666 6415\n725 12452\n2887 3578\n4067 9899\n2896 9899\n8741 18816\n4679 17972\n10490 20016\n8025 12344\n10942 16720\n5182 18836\n3834 8885\n5454 13124\n5214 6650\n10255 17153\n5792 13946\n5138 20386\n3410 4965\n8169 19759\n3167 15385\n2539 19204\n8589 18268\n10240 19323\n5736 19296\n1460 19374\n9311 15906\n7400 13844\n10943 14008\n1724 18042\n101 8015\n5835 19307\n438 6736\n12 20394\n472 19204\n3271 5545\n7235 15851\n6457 12971\n3642 17766\n1261 21009\n2640 6443\n11251 15540\n7119 14552\n7293 12275\n16373 21010\n3269 10165\n17298 19082\n9477 15175\n4124 17747\n2599 9706\n3857 6767\n4915 18833\n8083 15697\n7237 16184\n12487 16812\n618 14377\n5859 13766\n1278 2636\n13649 20210\n10136 13128\n295 14285\n10376 13259\n9801 14534\n5297 13081\n6635 13023\n1581 2088\n3043 12289\n10057 15310\n5085 20695\n12892 15843\n10852 17782\n4552 19780\n4561 10739\n4264 19430\n5358 10417\n5104 8845\n1217 15476\n850 15435\n",
        "output": "74\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 83,
        "task_id": 541,
        "test_case_id": 16,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "15660 39923\n9869 14183\n2963 8259\n4190 8981\n4867 11713\n4030 15314\n5585 12429\n2573 7625\n549 11093\n5551 6890\n9153 10176\n10240 11378\n11315 14359\n504 7108\n557 5248\n4934 5009\n9059 15018\n8735 12357\n11662 15421\n8600 9007\n2572 9176\n1124 2322\n1003 10711\n2722 8797\n9390 12017\n6174 12481\n3107 12740\n8546 15192\n3666 12250\n5310 12645\n4859 7478\n4599 14839\n13767 14298\n5806 10439\n1284 10745\n11438 14350\n5196 14597\n3053 14839\n1160 3743\n11112 14726\n1067 14724\n6908 14313\n2667 5567\n5111 12963\n3603 8530\n7963 10989\n6019 14222\n3545 14236\n12328 13408\n651 15468\n407 5624\n2948 14931\n9824 14751\n12 13795\n13001 13527\n987 13101\n8831 9847\n3452 4719\n246 5661\n1583 7625\n6628 7984\n2737 12476\n1854 13427\n266 1072\n3358 5361\n4057 12165\n12239 13534\n5150 11222\n2387 2640\n7985 10198\n3026 12856\n424 3457\n583 856\n5231 13224\n5912 12837\n9762 14144\n11320 14482\n8288 8299\n2497 5212\n9619 12227\n991 12002\n1793 8979\n1628 12839\n1250 11515\n9410 13664\n7230 7622\n7508 8017\n2171 14298\n5502 10853\n8037 11221\n3034 14072\n8743 15083\n6909 9446\n5487 11278\n6244 11672\n3271 11442\n799 15642\n1477 11436\n1554 10732\n3387 10965\n308 2285\n2758 13000\n9318 10975\n4157 8265\n2550 4305\n4317 14667\n4982 7129\n2510 14168\n6242 14924\n2645 4412\n14551 15298\n9743 12719\n3177 6342\n3596 6780\n1393 10789\n5604 7267\n3025 14694\n1493 6790\n609 12249\n1959 12574\n967 13581\n4439 15009\n548 14485\n557 5122\n13630 14348\n302 9744\n1655 2010\n8014 14042\n7936 11990\n743 14041\n11227 14227\n1935 14992\n6745 9458\n4094 5049\n6457 8842\n9375 13810\n3260 13916\n5369 9203\n3448 9013\n6508 11752\n3943 6365\n579 12958\n4906 12923\n4193 15530\n2982 9447\n1602 14179\n11869 13159\n6278 10694\n3167 7778\n2266 4638\n7555 9185\n5508 10250\n6367 15161\n291 12677\n7227 7441\n1818 2389\n6351 12207\n3396 7481\n8188 11375\n108 9297\n12761 13251\n4417 12169\n6383 13147\n5046 6259\n2089 9983\n14336 14806\n11660 13928\n3963 4433\n347 12752\n2411 12502\n1361 13289\n12677 15496\n13465 13792\n12008 12271\n10188 15504\n898 1080\n912 10416\n3780 6805\n6856 8068\n7093 7096\n904 3725\n7627 13017\n5443 14341\n6404 9304\n3680 6184\n12497 14099\n3836 9241\n1021 10820\n7681 11793\n8689 13833\n5647 12736\n992 5256\n10104 15315\n517 14788\n5463 12306\n296 12260\n988 1355\n4887 7492\n9190 11224\n5021 15431\n1448 12716\n411 5177\n1592 8429\n344 15207\n7691 10674\n1989 9987\n11016 14356\n9003 12721\n5054 15191\n2708 14785\n9245 10383\n5260 14238\n9247 14240\n5757 12567\n3854 7581\n7462 12292\n5663 5923\n1979 12704\n291 6242\n530 3642\n5256 10290\n12193 14045\n4610 13497\n1357 12664\n683 10882\n2686 7618\n8964 11411\n932 2117\n3027 11889\n8770 9328\n1644 12119\n2447 11856\n2550 7390\n471 3360\n3641 11408\n24 14131\n2264 14303\n2483 15342\n7771 10728\n908 9910\n4843 12490\n1891 13818\n3315 12511\n1752 2507\n4683 12205\n14178 14488\n264 8505\n8027 9678\n4848 14955\n10485 12027\n3703 10507\n6452 9771\n11555 13944\n6952 10561\n3930 13515\n7272 9176\n10726 14558\n1674 3998\n13869 15175\n1922 2722\n11482 14233\n8049 14884\n11121 13492\n4608 9005\n4044 14047\n11887 11998\n833 1144\n3891 5825\n12375 13435\n2138 4088\n9528 11139\n10931 12998\n4898 12057\n5079 10820\n10193 13409\n6774 9634\n3980 15312\n831 3643\n2067 7567\n5249 12989\n5845 6997\n5662 13829\n2792 12888\n5287 12757\n6514 14396\n4494 4789\n606 9178\n5048 10636\n8856 15531\n6045 13262\n3171 9310\n9384 10941\n10723 15639\n7143 7782\n14654 15480\n2577 3777\n10972 11666\n1413 9883\n4119 13010\n9515 12043\n8274 11697\n7199 12682\n2505 4352\n6322 13092\n1507 8231\n4765 9585\n3341 14387\n1661 4562\n7130 10873\n2231 5758\n977 4352\n3255 13493\n11328 14991\n3257 9164\n7642 12005\n8249 8991\n1172 4831\n9889 11923\n6636 7801\n1984 11814\n9524 11127\n4261 11492\n12641 13778\n1042 9688\n7627 7716\n10471 15364\n2037 3437\n6145 6324\n663 978\n4410 9843\n5946 10778\n6121 7354\n2551 10522\n9652 11494\n3152 7456\n8861 13718\n6228 10585\n13224 14336\n8405 9334\n3185 5741\n2339 3989\n3792 5761\n2532 13538\n2863 5053\n7090 9453\n3707 10981\n2707 8529\n914 6049\n9873 12252\n4991 10092\n871 5260\n2375 11440\n10172 15390\n2972 12470\n5021 10605\n3267 14272\n5318 6752\n13212 14762\n2529 11130\n5747 13931\n5919 12235\n5209 7205\n831 13726\n2420 7971\n1386 11395\n6684 11454\n956 7859\n3493 8967\n6165 8072\n8181 12545\n1384 15514\n7069 11771\n7735 12555\n3949 11935\n6722 13483\n2223 5927\n1247 10274\n3737 10425\n1092 3898\n7121 9103\n6897 9860\n11990 13402\n1093 15481\n3082 3802\n5114 9856\n4678 5382\n11321 12860\n2576 2848\n2575 2700\n6593 10997\n6513 12032\n13279 13356\n10832 12162\n11394 15511\n5273 9934\n8939 10853\n8357 15192\n2117 12272\n8058 12990\n3875 12442\n5481 12487\n6840 10432\n11227 11254\n12767 14210\n7313 10732\n483 716\n1369 9330\n2223 12651\n10371 12835\n7979 15589\n6520 6897\n2337 9018\n11269 15096\n639 1222\n6404 10722\n7970 10466\n4437 6629\n27 6516\n1998 7234\n6172 15149\n7148 8362\n10047 14886\n1061 10044\n11169 14053\n91 9579\n5751 10679\n1623 15633\n1795 8564\n9021 15030\n1397 3027\n9003 13370\n296 9202\n6071 12555\n10188 10372\n5051 9625\n7652 13545\n3767 4342\n7665 8984\n3000 10060\n2832 11612\n12704 13093\n3013 4149\n3513 6486\n2934 8236\n3895 6615\n3372 12305\n3308 6665\n3725 7963\n6262 6320\n4530 11992\n9458 13153\n7895 15580\n6699 9964\n1550 15158\n3079 7579\n12153 13061\n724 14287\n33 13707\n4401 12500\n6738 13141\n7030 9337\n3818 7800\n2904 12614\n2517 4650\n2214 12528\n8812 9642\n1611 4384\n1920 9470\n7647 10738\n2534 7402\n1034 9366\n216 5437\n10508 11365\n5830 15276\n13414 15417\n4270 8943\n2105 2244\n7691 10073\n5286 15103\n10438 11012\n1555 9871\n9134 9464\n3433 15224\n10534 13567\n9950 10837\n6119 6123\n9676 10510\n3319 7458\n11927 12014\n4036 5383\n11256 12636\n10666 12241\n674 1255\n5999 12611\n448 1078\n11399 15651\n14945 15003\n3602 12900\n11543 12921\n3271 13874\n2549 12094\n1837 14340\n1192 10683\n9563 11404\n2532 4608\n5185 10199\n986 11606\n5596 5636\n13118 14675\n3858 14295\n6758 9342\n4560 9780\n1323 13038\n662 7291\n1120 9282\n2008 7682\n10226 12554\n1158 7900\n6679 14027\n5284 14263\n4321 6244\n8098 15150\n3765 10774\n9290 11437\n4295 11834\n5334 9950\n10910 14408\n5133 6631\n13943 14160\n2077 11308\n3050 14528\n10654 14147\n4776 6978\n3012 8647\n15054 15364\n1689 15200\n3939 6770\n9619 12066\n4155 15610\n3025 8521\n4899 10188\n525 9492\n2268 2626\n7010 12102\n8137 14799\n5211 9850\n7646 9239\n10158 10558\n8550 13581\n8698 15475\n5995 8388\n1151 2743\n550 7960\n7476 12533\n1268 8748\n1762 10628\n8513 10690\n12855 14527\n4138 5135\n4209 7331\n4134 4315\n2821 12095\n51 542\n14321 15096\n2545 8677\n1716 11031\n3987 8593\n4290 8211\n14205 15288\n5090 8591\n1759 9197\n119 7457\n1471 8288\n12590 14138\n390 9243\n9034 9196\n9408 13240\n9258 15555\n3718 7188\n6407 14555\n246 14885\n2112 7147\n6970 15320\n2243 15530\n3786 7696\n1788 7399\n2148 4243\n12937 15412\n7592 15241\n1272 2247\n1970 6105\n10380 14546\n11092 15227\n5304 7313\n4576 7334\n7534 10068\n11931 13811\n2173 9064\n177 8048\n8457 11024\n2085 14220\n5203 8734\n2684 12141\n2633 3198\n8157 12026\n4368 6056\n7183 8558\n3295 8614\n362 13801\n9477 11232\n890 14458\n6989 13879\n2738 3277\n4410 6350\n4885 14487\n77 10956\n1928 5920\n920 5716\n819 13546\n673 6958\n1947 10567\n10087 10206\n4704 12897\n1945 7483\n1366 2973\n9562 9899\n7168 12295\n4714 15486\n4309 13515\n6482 9277\n5292 15220\n3766 13230\n999 2155\n6454 11268\n11892 13647\n10601 11656\n11737 12177\n14024 14791\n7833 11980\n10642 14177\n3145 9871\n8138 8282\n6892 11578\n9466 10509\n1709 11666\n6180 7700\n11273 14314\n13345 15161\n6896 9669\n9346 15473\n2160 12003\n4709 11476\n9678 13390\n4026 13366\n750 9778\n3165 5210\n3399 7130\n2433 9065\n7236 15483\n7536 14074\n3109 8349\n317 7412\n1093 11037\n8762 9287\n12478 13089\n12145 15168\n11172 12838\n278 2577\n2371 10964\n779 3491\n2298 14863\n15123 15468\n5798 10820\n11260 12466\n565 7708\n4466 10224\n1297 10431\n3491 10680\n6791 8062\n617 10055\n411 9245\n8226 14577\n12670 14282\n1870 1970\n12221 12710\n2070 10082\n3093 12744\n8700 9955\n9728 12893\n7354 13803\n6041 12878\n906 3720\n11999 15599\n10539 12943\n1476 11024\n3065 5378\n2577 14330\n1673 7186\n672 13840\n1630 3590\n6524 7016\n10158 13878\n10112 14074\n825 2133\n1496 9099\n8820 14673\n961 2913\n12969 14114\n3432 6184\n2374 13725\n8043 14576\n3644 3928\n4999 10058\n2250 3387\n2669 15216\n8750 14146\n885 966\n13007 13783\n12593 14966\n5560 13560\n3931 14262\n8175 12209\n1898 10264\n11702 12559\n206 2812\n660 13055\n804 11339\n389 13105\n10830 12464\n3622 7783\n326 10667\n1817 7436\n6895 7986\n13887 15577\n11752 14603\n6338 6721\n12859 15529\n7903 13535\n4223 13637\n6310 10106\n8318 12387\n3703 11476\n5542 7954\n7376 15550\n7579 11064\n790 6961\n2789 3584\n738 7505\n3367 6169\n6333 13805\n275 5887\n6381 8305\n226 6308\n5590 14549\n1701 8693\n5460 14908\n1953 6640\n8620 12240\n4416 4776\n11133 11874\n10779 13707\n2976 3318\n295 9383\n6978 8823\n563 11026\n13654 13855\n4098 7614\n9618 11774\n571 12537\n60 10076\n4133 10044\n6338 7715\n2924 6529\n856 1542\n2212 8631\n5055 6432\n4455 14863\n3780 12881\n7627 10188\n9807 10942\n1819 12571\n2350 13010\n4736 13132\n3570 5012\n2534 8723\n5363 15364\n545 7496\n6913 7652\n11332 14994\n8332 8553\n3650 10764\n668 12506\n6911 11519\n7400 13946\n4025 12911\n5387 10676\n3756 15178\n5041 10819\n12667 13164\n460 9905\n169 5099\n6708 11998\n15064 15592\n1399 4494\n566 8035\n9660 12187\n9788 13655\n9582 10054\n7198 12208\n492 8528\n8087 11966\n1782 6052\n5759 10455\n1654 1831\n3796 8366\n11259 11482\n237 15469\n8192 10138\n3871 6731\n7926 14156\n5564 11038\n1948 15110\n4898 14612\n9720 15220\n4306 11894\n2856 13210\n5478 8811\n2856 13656\n9677 15178\n828 5372\n9966 13710\n2099 11108\n1518 14510\n6203 15645\n3122 7632\n6930 12134\n5439 7296\n12275 13619\n1179 3051\n10659 12880\n4628 9731\n253 10218\n856 6384\n2519 12439\n614 952\n3251 9468\n3799 15191\n7541 10143\n4914 9532\n11921 15386\n3447 11483\n47 8102\n10588 14434\n4412 13249\n1381 10275\n4721 13518\n4587 13381\n2281 9258\n2321 9884\n8631 15329\n10953 13804\n6267 13665\n5058 7383\n1458 12979\n12048 13402\n2707 13096\n6124 15053\n8050 12282\n5305 6637\n3857 14391\n2849 5419\n7012 11846\n1560 11432\n9293 13998\n4261 13283\n2154 2242\n1014 5532\n10169 14358\n7289 10847\n9278 14042\n3807 10041\n13244 14931\n3843 15607\n1579 8938\n2350 12073\n3528 13480\n13555 14847\n2548 5064\n7947 10197\n2327 5427\n5453 9394\n6699 8368\n9106 12529\n2004 3153\n5708 13177\n1094 14673\n6504 6745\n4055 9911\n4593 10807\n6264 9140\n3676 10507\n12121 14210\n1639 3477\n749 5941\n3178 15478\n6389 13551\n3854 13482\n1076 1777\n8893 14957\n699 7747\n4379 9033\n1587 14300\n2558 3324\n7075 8817\n1696 11114\n2887 9517\n1088 3247\n5551 12125\n2685 10779\n6461 11295\n13407 13751\n8161 11084\n12529 13212\n3275 4168\n2965 15197\n4937 11826\n2636 13024\n9072 14355\n6634 11057\n5667 5984\n911 4766\n13153 15475\n11807 14493\n7068 15381\n11856 15433\n893 10748\n6790 9913\n6978 14063\n14001 15421\n6067 7922\n3937 12209\n1374 14133\n8625 11403\n6772 12761\n5775 8166\n2424 14553\n2648 6266\n9449 10594\n2648 4022\n11197 14702\n3463 4573\n12644 14840\n2350 11201\n1777 6192\n226 7551\n999 4398\n13930 15096\n10295 14333\n3264 9102\n3177 4202\n3411 13835\n507 6069\n1720 15328\n2948 8207\n4396 13919\n8740 14012\n5224 6111\n4185 7029\n3184 8931\n1326 5121\n5767 12419\n4622 5627\n155 3776\n2876 4044\n2831 10516\n3404 4729\n9920 13564\n5505 8520\n8042 11812\n2827 9885\n4003 8007\n6908 15276\n11285 15194\n11619 15332\n4489 11835\n1695 7304\n6748 7386\n2813 7899\n617 13529\n836 13416\n8713 10765\n8522 14987\n3423 7581\n5832 8252\n2302 9675\n8041 9969\n4130 9956\n2570 8292\n10390 15156\n7101 9729\n4127 7500\n1342 7785\n9158 14326\n5081 12909\n7707 13881\n1087 1301\n9617 13298\n1729 6302\n7384 10482\n9981 15629\n1229 9987\n1718 8334\n7794 8165\n3480 7386\n13526 15647\n1134 6491\n2209 5911\n3047 15048\n3183 4182\n4623 13582\n4114 11995\n6483 12512\n4425 15318\n11470 13302\n8329 11190\n3126 9324\n4132 6360\n10514 15525\n8841 13491\n8622 15515\n9121 10079\n4997 15234\n4898 13806\n9484 12527\n11971 14623\n12563 14367\n1652 14656\n4395 5765\n11734 12318\n2577 12512\n6708 11468\n3129 12909\n238 4101\n9821 10319\n10748 11376\n5537 5724\n4487 15658\n10017 12604\n432 4876\n3105 14655\n2996 12070\n3066 12197\n2752 9103\n3712 5852\n6003 11868\n2195 4912\n2508 8497\n5591 10606\n12460 15420\n11249 11902\n3495 13470\n311 9936\n1345 10807\n4472 10406\n8841 10425\n1995 14735\n4936 13125\n9590 14532\n2742 14206\n7288 13780\n11126 13284\n3160 9199\n2050 5630\n2537 7641\n7781 13165\n4360 15368\n2987 11805\n3500 13851\n2488 4093\n11860 12590\n2618 5002\n13805 15416\n2957 7949\n3244 6855\n7469 10786\n3382 14784\n3454 12869\n272 7576\n10337 13926\n7555 12710\n2849 10258\n7200 10207\n3536 11368\n9434 10948\n2007 12839\n2131 7338\n1842 3270\n7060 12343\n2190 5459\n2898 14090\n7203 15081\n2799 10094\n555 8016\n14674 15417\n10501 15202\n10649 13339\n263 3276\n1579 12833\n871 1855\n874 6341\n3317 8674\n6875 6967\n1592 3917\n11593 14938\n3592 12092\n343 10645\n53 12003\n13281 14554\n8507 11781\n1427 11927\n839 4545\n7923 10689\n7503 13333\n8564 14963\n1058 6050\n10797 12329\n2511 13456\n3678 9190\n808 8713\n2402 7579\n4736 9310\n2247 13877\n12346 14016\n4331 6002\n7332 8286\n2755 12742\n4129 7891\n8065 12436\n6327 6997\n370 14340\n1993 13752\n3717 8548\n12574 13642\n8730 13841\n13367 13386\n1668 10990\n2378 10078\n10484 11115\n4397 5781\n7920 12931\n163 12355\n1659 7737\n8181 14043\n2709 9971\n103 1296\n13297 14296\n7718 10961\n4262 8231\n10177 11210\n775 7641\n6404 11644\n5948 14435\n179 10614\n4415 8389\n9981 10975\n1033 1674\n4767 9928\n8547 14459\n2820 14025\n8405 8778\n629 4297\n14174 15649\n603 11105\n12199 13677\n8765 10808\n1209 5901\n3747 12637\n8096 11731\n772 7383\n933 7412\n1013 11782\n1932 4698\n11201 12436\n3731 3973\n7843 15420\n3150 6024\n107 7560\n913 1000\n11870 14873\n6702 12029\n3330 4731\n10804 15494\n12161 13648\n12155 12384\n4864 13086\n5986 14486\n4888 4946\n2026 10133\n8585 9408\n8000 15503\n10531 15179\n2466 13960\n402 4403\n334 10392\n9793 13629\n2447 10385\n290 11627\n5690 12426\n8716 10371\n3722 5914\n7268 14862\n4110 9547\n2416 11059\n1898 8828\n10580 15084\n4941 12007\n808 8740\n10161 14551\n2605 15230\n3755 8612\n8082 10094\n6576 14451\n4082 4419\n4451 7147\n7683 13673\n1763 2561\n1315 4992\n3320 15313\n2924 4268\n2868 8181\n4768 9187\n6441 8069\n9058 10159\n3732 11869\n4087 8709\n1700 5435\n311 15175\n10156 10970\n5120 15156\n11172 12890\n8698 9925\n5236 7187\n9807 13787\n10776 14353\n2301 13894\n3718 9271\n12590 12637\n8280 11557\n14183 15574\n10572 12453\n5576 14926\n3907 11259\n12184 12725\n4641 12705\n8400 14568\n332 8977\n2238 13469\n9036 14747\n706 10281\n149 12296\n1860 4487\n12067 14547\n7208 9008\n4905 15544\n5750 13753\n6668 14075\n776 13744\n10112 10535\n4672 5418\n8349 15266\n10861 14494\n4104 12664\n1611 10655\n542 3462\n1572 9349\n10884 13093\n1333 7301\n88 2697\n5891 6058\n12942 13505\n11875 14533\n8128 8586\n4254 11257\n209 6884\n4773 10059\n4868 9203\n7729 11025\n1064 2249\n2887 14478\n3927 13592\n500 6915\n12602 14618\n10026 10864\n204 218\n6661 7437\n1955 3180\n4141 10121\n644 12745\n5205 10500\n1769 8381\n9096 10400\n4299 7603\n4787 11766\n5479 7078\n991 2824\n116 12231\n7893 10881\n3281 15138\n5144 11777\n5568 7766\n2535 5219\n5847 11160\n4653 14160\n6679 15241\n21 15500\n9496 14155\n8860 15013\n10629 13793\n10799 12100\n1496 12188\n4814 7719\n3862 4282\n8017 13925\n2756 4614\n5061 10207\n4389 15059\n17 11087\n11256 14388\n2151 7325\n4800 9244\n118 10426\n9920 11563\n5912 9818\n5614 7857\n5132 12822\n7086 13505\n4047 10979\n1840 5045\n8404 13973\n1117 10998\n1110 1547\n8100 10085\n14257 14735\n1560 3616\n4606 15569\n8756 10325\n6596 15353\n5940 7729\n4447 15638\n2822 6104\n6666 12245\n3301 8534\n2663 11027\n9167 15630\n8740 14255\n12057 14230\n3280 3453\n3055 15304\n4145 6198\n3289 6708\n10514 15546\n4686 7172\n6539 14041\n13591 15350\n3904 5301\n1630 13045\n12755 15484\n8027 9149\n2949 11200\n3594 11541\n6403 10793\n7743 10115\n2003 7508\n2503 6070\n11215 14009\n11542 13268\n14382 15362\n11433 13852\n1049 13338\n8481 9477\n11331 14874\n2430 12600\n5305 12789\n5022 5510\n3766 9887\n5489 14633\n7575 14357\n3871 13295\n1588 12986\n12 8190\n13424 14039\n12799 14870\n5092 5810\n7233 14895\n742 8171\n211 8736\n5776 7426\n1296 4511\n946 2792\n7315 13803\n2963 12415\n2667 15339\n4375 15557\n265 13220\n2476 6677\n2263 9408\n2349 3350\n11226 13778\n3272 5618\n570 10105\n4812 8420\n11853 13258\n5531 14856\n12052 14970\n1909 8687\n8338 15287\n9763 10297\n1132 7617\n8352 12850\n7831 11121\n3574 4413\n8586 10506\n3703 6302\n3800 14580\n6584 12367\n4750 13553\n750 14407\n7437 12408\n12373 15241\n3533 5233\n2444 5436\n165 12230\n2515 13851\n2562 12471\n10019 14877\n150 13252\n530 10935\n4816 8164\n2303 9566\n6211 13939\n631 8660\n5132 14043\n1965 8630\n3301 11103\n4659 12730\n1804 15064\n8943 11661\n8001 14689\n6488 15534\n331 559\n8388 11371\n7919 13611\n355 15407\n12582 12704\n5711 10944\n1171 1565\n564 618\n8599 11787\n7403 15595\n839 14798\n866 4487\n3453 14432\n3993 5913\n2052 7034\n6408 15457\n4490 7765\n217 7718\n4434 7284\n472 8667\n7472 14187\n7806 8611\n6309 14711\n10319 15038\n4265 6123\n6019 14281\n9891 15032\n13541 14470\n957 2953\n6039 9192\n11591 13647\n6942 8968\n449 15208\n7723 11787\n3979 14105\n4661 9101\n2878 15104\n7756 8671\n7662 8491\n11341 13585\n8630 12964\n11266 15534\n2739 8952\n13436 14208\n3983 7588\n10691 13947\n65 14890\n10214 14654\n7234 15050\n5880 8956\n6928 8049\n345 1402\n9552 12604\n1781 11091\n808 4301\n5675 5807\n3241 7672\n4696 15078\n8806 12202\n12255 14060\n814 13874\n3831 10266\n11812 15551\n8847 10710\n4007 14855\n1886 9774\n7451 8104\n4693 7719\n911 1690\n5931 9185\n3484 10715\n12404 14480\n68 2321\n6149 11973\n9783 14930\n8376 15452\n10919 12046\n4642 14724\n4021 10714\n7108 12872\n309 11547\n8557 13331\n663 2459\n5495 12041\n2079 8625\n6298 13041\n8089 13548\n925 7272\n5980 15246\n3919 11557\n10705 13179\n10072 11579\n1673 4071\n640 2405\n8578 12521\n9444 15054\n3139 13582\n641 843\n6572 8366\n10293 13740\n13616 13686\n1201 11077\n5733 10140\n1296 10659\n7052 12240\n8764 10477\n11534 15015\n6592 12295\n2329 4899\n8184 13815\n3439 3540\n2297 6057\n6999 8159\n5347 12387\n1597 3081\n1889 5954\n1653 9474\n1252 7522\n2921 3973\n2558 13921\n486 9140\n7843 14578\n2748 15038\n6484 15607\n4115 15455\n2194 6571\n6722 14719\n3018 13565\n2123 10693\n7541 15467\n8372 13246\n2649 8956\n1865 10019\n5614 7116\n3326 8915\n4495 14135\n8676 12903\n6110 13840\n7711 11304\n694 9705\n7785 13305\n7583 12390\n2707 10014\n7632 10588\n8343 13683\n12343 12838\n1123 14609\n5157 6736\n7709 9591\n5304 14523\n1641 15489\n2341 6063\n1700 4461\n1897 10928\n7249 15188\n8621 15229\n4026 12951\n6784 9777\n11571 12576\n5499 14252\n10946 12303\n5763 10695\n10212 10696\n12172 13492\n1049 9651\n3731 14897\n9950 10174\n3780 11360\n8012 12082\n13987 14913\n14721 15258\n8006 15314\n7924 8316\n764 13884\n1647 11813\n8056 12410\n3041 10983\n1302 12584\n4436 5261\n5739 11625\n1927 13851\n8633 12373\n9570 13491\n3818 9048\n1428 8679\n6036 13199\n259 2508\n8764 10217\n7232 11530\n1248 15178\n6132 15021\n1051 15436\n533 4119\n1013 2095\n635 11487\n6690 11116\n6380 9022\n344 5709\n3159 3676\n8657 12050\n8403 12437\n4652 14794\n6781 9533\n6900 9738\n10761 13687\n14093 14917\n4623 10263\n6370 9647\n3289 8200\n3679 5734\n5297 5622\n10949 14902\n2085 4337\n1571 7971\n856 9153\n10817 12054\n2125 10453\n2833 12543\n7302 12619\n10865 10898\n3805 9493\n5787 13084\n4991 11673\n3187 4354\n11501 13305\n9170 9920\n7992 15636\n1979 3291\n2526 6209\n2036 15157\n5886 15441\n7900 9866\n6929 14560\n9634 12266\n8131 10760\n5932 9592\n9930 13902\n1648 13306\n8405 9530\n2416 14059\n1484 7807\n2853 4061\n1497 6971\n255 4199\n4910 14214\n1019 14089\n12395 14419\n7923 14393\n1058 4908\n11125 11687\n2842 10398\n9377 10201\n7937 13835\n850 4517\n4546 10473\n13485 14255\n1517 11622\n4303 14610\n5624 9989\n974 7614\n129 2635\n1708 14780\n3437 3457\n1681 15462\n5042 10551\n5865 11127\n1165 5347\n7526 13724\n419 1716\n1435 15024\n2975 8329\n4555 10466\n3011 9330\n7555 9177\n10373 11728\n4601 7467\n5387 15131\n741 15341\n11138 13471\n792 3181\n6984 7903\n5601 5913\n549 13132\n9046 11282\n6941 14330\n6206 6493\n716 14523\n5757 13381\n3372 5238\n695 12558\n10926 14786\n1992 8540\n6802 11285\n6362 9677\n1479 11042\n2915 8527\n9910 12287\n960 8130\n10500 15309\n8240 10414\n4274 13608\n1205 12350\n6389 7971\n356 14152\n10957 14693\n2132 12309\n571 12692\n9960 13862\n9002 13757\n5579 9862\n9499 11522\n10584 15508\n920 9862\n2967 10988\n2406 15122\n9909 13220\n7372 12019\n5595 8749\n9175 9242\n5219 8811\n5167 10809\n2958 12920\n7186 14113\n6484 10514\n9315 9493\n3945 12828\n6125 15090\n579 1011\n7794 14778\n4571 6973\n6838 7963\n2696 14936\n4947 14176\n2926 14046\n14893 15227\n13693 14483\n8577 13888\n2562 8153\n3414 12738\n6459 9070\n1758 12238\n10181 10593\n1046 9656\n4386 8255\n209 1191\n1517 9081\n4912 11853\n2650 10734\n281 6899\n12170 14981\n3494 12962\n2091 3090\n5465 8921\n751 5373\n753 13270\n3646 15218\n4200 14782\n6406 8108\n820 6056\n2394 10579\n3060 5080\n5844 9222\n1659 1854\n10307 13528\n13320 13852\n1776 13362\n11758 13101\n97 14509\n12297 12991\n6616 7119\n8267 15172\n9647 10900\n13735 14745\n1970 6975\n3357 4439\n5791 8696\n4797 13737\n47 4788\n5931 6214\n12454 13183\n703 778\n11507 12627\n4766 8030\n10872 12596\n2368 15532\n477 3642\n1010 14511\n7469 15106\n2471 6277\n2496 5711\n3559 15371\n4770 7978\n4400 6901\n10455 10788\n2091 4819\n8954 10795\n5130 11518\n4681 9622\n1590 3153\n8911 10957\n4090 4843\n1248 2738\n3446 13879\n6395 9648\n3098 4211\n9087 14251\n6764 14656\n2708 15659\n1636 11904\n12815 14448\n6723 12474\n10902 11533\n2276 6372\n10847 14300\n2323 7501\n1735 3052\n2026 2075\n4167 12873\n8618 11030\n585 9665\n2786 14692\n4010 8004\n1009 7601\n8634 11767\n976 10332\n773 10516\n12609 13530\n316 13033\n2991 9500\n5488 12549\n4753 14066\n10713 11462\n3518 8622\n8030 11159\n10286 14931\n9268 12718\n290 14119\n1000 2827\n6730 8608\n7160 8566\n1713 1980\n3021 6411\n38 2442\n1957 8300\n10641 14013\n7312 12919\n10547 10602\n2698 3245\n5364 15002\n2337 11887\n3609 4501\n217 3266\n1405 9594\n3888 13125\n531 8529\n8521 11052\n2126 15467\n2749 6251\n4482 6487\n9532 14526\n2048 5084\n769 13816\n5389 9091\n8556 14947\n1021 5239\n7368 14633\n6524 14363\n7692 10792\n5075 14595\n10103 14999\n8786 13108\n2796 12424\n4174 8605\n3722 9792\n2996 7778\n7414 9188\n2898 14491\n2207 9561\n7105 8867\n6455 11571\n1917 5603\n2905 12582\n146 12314\n7504 7944\n5745 8869\n7973 12421\n5012 5131\n12827 15573\n9298 15131\n1675 11364\n5691 12058\n5414 8591\n1862 3402\n2566 15524\n5275 8025\n1941 4907\n5398 11434\n11435 14070\n6718 13890\n14537 14953\n7863 13199\n7849 15017\n6329 9201\n3478 5598\n8079 13324\n7487 12665\n10425 10720\n3759 4375\n206 6993\n3867 14613\n723 5537\n4649 5198\n4177 12811\n572 13478\n1097 3019\n1437 3826\n3599 7022\n3078 8970\n720 10638\n6036 8489\n7758 12103\n89 3370\n12727 13259\n8447 8912\n2068 4945\n1170 7688\n986 12439\n8471 14747\n9121 13740\n3752 4825\n1954 9499\n2218 6334\n8841 11332\n3181 7103\n728 14437\n2940 14675\n2851 13363\n7210 10939\n2253 12910\n2398 5120\n2867 11769\n7320 12356\n2318 3875\n7062 9710\n4308 4671\n1682 7560\n2915 11254\n1262 14517\n3383 14972\n8796 13352\n2112 13890\n9723 10463\n11256 14177\n10935 15558\n12662 14448\n2011 4723\n8194 13988\n5274 12412\n5239 14321\n358 6843\n13317 14159\n190 6027\n14243 14342\n1482 5571\n2021 2740\n1638 11256\n6183 9228\n10286 12935\n10584 12774\n851 6479\n15546 15638\n2389 4815\n5920 7753\n8641 13240\n13000 15249\n1046 1911\n5412 8280\n2093 8555\n10320 13009\n1047 6180\n3536 7786\n6052 6436\n9242 10377\n2974 4560\n3382 9087\n3954 15560\n2578 12447\n4856 13785\n8225 12262\n6814 9554\n3160 15172\n7367 11659\n467 9315\n2301 4142\n7637 11108\n3382 11089\n2791 3165\n7723 11311\n11532 14342\n3688 8408\n1022 5875\n2793 7018\n466 10507\n3573 6755\n2035 13519\n12177 13117\n11779 15208\n7576 15433\n1413 8873\n2813 8677\n3710 10616\n6589 8226\n11935 14204\n3198 8033\n10920 12892\n438 9962\n4428 12141\n6894 14907\n1681 11704\n2704 12090\n2772 6046\n9001 13644\n11098 14270\n2604 13384\n7814 13445\n1546 1990\n7970 15461\n9560 10626\n3197 7177\n381 13022\n900 5901\n2063 11679\n5997 14608\n5423 14134\n5120 12290\n9283 12905\n11476 14410\n8466 13310\n1355 6109\n5984 15120\n5839 12803\n8268 10695\n7504 9810\n5780 8526\n7211 11436\n5946 8787\n8624 12768\n10095 13339\n12800 15599\n2132 15437\n1469 13699\n9443 12827\n3717 14097\n10704 11365\n8989 13966\n1813 5353\n10985 14730\n2341 11337\n1406 1634\n6443 8692\n14180 14631\n1796 15614\n2 3521\n10635 14886\n3360 15570\n11482 12382\n13162 14484\n13250 14088\n2295 12405\n5447 15070\n11696 12078\n2185 10958\n1050 13210\n7319 8291\n1010 6641\n1985 12110\n2712 14469\n10584 11766\n2168 9933\n3222 7742\n4127 15445\n334 5131\n4477 12547\n2882 5535\n1498 12782\n809 11866\n2848 5880\n96 5782\n8607 14928\n10312 11398\n2384 7129\n6972 13148\n669 12190\n631 13889\n5094 8362\n1399 1482\n1689 3856\n228 8411\n1966 12831\n7996 8080\n8735 12153\n2551 6933\n7514 10359\n171 4014\n4728 12799\n4729 10982\n2619 6265\n5926 12094\n12805 14531\n4113 4429\n8621 12767\n11652 13556\n524 8256\n5434 9591\n2335 4367\n1790 4885\n7407 9628\n837 12161\n14378 14745\n4801 7034\n4397 12192\n4905 6080\n7576 9486\n11686 14642\n976 4505\n51 14340\n1116 9779\n3027 8025\n6085 13695\n9512 9793\n12854 13824\n2581 9952\n11814 12786\n664 13521\n7440 8085\n480 1349\n8954 14948\n7298 9817\n5297 7681\n3834 6706\n7529 10577\n14010 14592\n13315 14520\n7730 13778\n9523 14226\n2970 6171\n1091 9280\n13096 14402\n335 5321\n546 11892\n1070 15655\n527 10162\n8117 11553\n3561 4712\n1526 12105\n10032 10779\n5088 10514\n714 1051\n3450 13865\n12661 14123\n11446 12398\n9869 13896\n11034 11416\n3412 9666\n1148 5894\n6614 14497\n1152 3428\n2319 13342\n10709 12004\n2435 3238\n8402 15109\n9889 11282\n3121 3936\n9909 11837\n7544 8350\n91 3833\n5266 9179\n13795 15145\n236 2657\n6973 8283\n2916 7343\n8132 12931\n2048 10976\n4056 5835\n5327 14889\n6181 13859\n219 14102\n2543 11665\n4053 11249\n8651 13504\n3734 5471\n3063 8825\n6031 15122\n12515 12928\n8580 15162\n1782 4643\n362 1149\n4144 10961\n780 12670\n2579 11989\n1156 1842\n1509 10388\n7249 8119\n2777 8238\n1432 11577\n465 8209\n1901 8314\n702 1136\n806 8057\n8258 11040\n5674 12752\n214 6064\n6263 13319\n4598 9107\n4525 6783\n5610 9027\n1816 10190\n8596 15137\n8721 14872\n3798 15364\n1599 3766\n6826 12343\n8484 13222\n4855 12925\n6188 11786\n3618 5959\n1681 4921\n6369 12468\n4180 14998\n2660 13497\n5986 12942\n155 14030\n2527 6649\n7759 13279\n1445 8135\n1280 11602\n1065 11993\n1819 8714\n2739 4044\n7164 9778\n7178 9176\n10762 15582\n6681 9255\n19 13178\n1134 14336\n2026 7112\n6478 8499\n9154 13835\n3004 7057\n4269 9798\n2133 9011\n3274 8899\n6692 9256\n10197 13426\n6485 14444\n718 11185\n12703 13039\n1789 4488\n7699 9560\n836 14247\n1701 10533\n7910 14433\n729 1233\n7460 12469\n342 8896\n3860 5226\n1249 4947\n10175 12779\n10943 15538\n938 11791\n935 14758\n13802 14230\n572 3629\n2314 13777\n2597 4897\n589 13954\n9232 11520\n649 9623\n4938 7816\n2448 5042\n4387 10387\n2036 13297\n945 4852\n11075 11598\n162 11461\n7120 11024\n9090 12369\n2121 12574\n4332 7036\n5411 11724\n1951 10303\n7771 9961\n10117 10529\n3474 14585\n4669 12553\n9253 15541\n10392 13671\n4465 9843\n1918 7704\n1633 4059\n862 12243\n11644 15609\n7207 11039\n3302 13804\n181 3997\n6493 7815\n5071 12952\n4959 13406\n898 4933\n5191 8184\n680 13456\n1916 3916\n1579 6035\n9755 11867\n2288 13108\n8695 14302\n2981 9727\n2241 10113\n5265 15083\n9753 11161\n329 12744\n1004 4305\n7785 15007\n3581 8538\n1756 13420\n2354 13434\n10339 15632\n10005 15490\n777 9390\n3186 14695\n1463 7641\n5689 12324\n13462 15493\n1712 11177\n8461 14510\n4953 15207\n9894 11686\n1655 10977\n1328 8511\n9567 12193\n444 12145\n6727 7082\n2737 5339\n3101 11142\n4005 8423\n1889 11835\n4714 6814\n5446 6917\n243 4575\n5790 8846\n3023 13179\n10610 11306\n3344 5618\n11075 15480\n1420 8969\n459 1772\n1359 8678\n5 4880\n10024 15533\n5185 15618\n8582 10367\n1980 4862\n9741 12647\n171 10949\n12180 14754\n7538 8907\n13197 14347\n1672 4786\n88 2728\n9750 14194\n3800 15356\n1312 10780\n2038 3028\n1011 6147\n3709 9078\n101 7612\n4034 14253\n12793 14859\n8211 12530\n14891 14937\n972 10884\n202 4504\n2243 14043\n3261 11504\n1946 12573\n417 14070\n6023 10380\n2105 2562\n9834 10510\n11878 12469\n4985 14697\n2568 12809\n2874 9405\n2418 7016\n8434 11519\n13100 13887\n8030 10906\n284 7538\n7133 9606\n5190 9329\n5374 14647\n4873 5781\n85 12227\n5307 6200\n7892 15393\n1294 4184\n2832 12823\n14254 15115\n8848 9297\n7397 9567\n6433 10650\n5336 5886\n13633 15161\n13616 13732\n6251 12094\n8210 9381\n1367 2274\n5619 8270\n736 13394\n6752 13086\n2496 5701\n521 9405\n2136 14358\n939 10238\n10320 14294\n3868 7351\n3554 5317\n5193 9944\n1618 12460\n2402 5129\n5479 7441\n783 9080\n2690 4331\n501 5509\n7078 10390\n8110 15532\n4479 13331\n2926 3485\n10751 12574\n7088 7634\n8962 10476\n9810 13073\n9344 14213\n3290 5348\n1447 9104\n3268 9865\n4806 13493\n736 10944\n8995 13605\n3687 11775\n4845 11388\n3829 6578\n7061 9172\n3764 6067\n8727 10522\n11779 15612\n3020 3340\n634 13990\n8958 15247\n1188 15086\n5997 9467\n2843 6424\n8380 15099\n6710 12646\n2128 10269\n327 11930\n2296 8678\n1444 11782\n9660 12130\n2514 9590\n1698 2669\n13707 13914\n6353 9404\n10767 14249\n12429 13057\n5032 14259\n4352 9622\n9963 11409\n4798 5715\n1212 11681\n6954 8105\n12302 13647\n4248 15083\n345 11763\n9905 12811\n1224 4252\n1951 7465\n138 9007\n2206 7736\n8020 12657\n13810 15088\n498 9009\n2823 8942\n10698 11933\n11499 14028\n7653 13081\n2833 9516\n10974 13492\n3559 12515\n2196 4624\n2097 11456\n2185 7618\n6794 13477\n4557 6156\n2450 11672\n1378 15608\n1698 6663\n13093 14167\n7835 10831\n3368 13511\n6934 7284\n8202 9698\n149 923\n1021 13015\n10095 14999\n10060 15154\n2121 11819\n1389 3889\n424 496\n1646 1665\n3717 7169\n5217 12969\n9734 14088\n486 1904\n10556 12763\n5087 8803\n3853 6803\n1395 6131\n2562 12611\n10585 14785\n8594 12895\n6682 14796\n7134 10777\n1816 11430\n3303 7543\n441 9515\n4017 14999\n1632 13258\n8551 14963\n1023 14184\n5472 13905\n606 3786\n1298 6260\n3739 13575\n1896 4203\n3987 4995\n10205 14832\n7564 11692\n1677 8645\n2565 4707\n6781 10742\n10104 15098\n11493 13756\n336 14048\n6732 9247\n6509 15276\n3709 6436\n420 2233\n7520 15117\n5773 15426\n6355 12221\n12286 14133\n1085 5013\n2156 11969\n8416 9613\n2110 3657\n2401 7096\n8530 10840\n270 8308\n14331 15227\n3171 8266\n3764 7432\n5215 6739\n5545 7242\n5292 7669\n8340 10853\n2100 6246\n4125 11549\n819 15465\n2069 3080\n3498 6240\n817 5554\n3749 10147\n5036 8239\n7946 9378\n7458 13246\n1715 7178\n7358 15023\n1262 2765\n5173 10999\n203 4982\n11332 12751\n4023 11119\n5134 7911\n2674 13595\n6596 14956\n10986 13520\n13238 15558\n3140 12862\n4323 13112\n12030 15225\n256 7055\n197 2202\n9567 12470\n7830 8607\n4216 9191\n8447 13235\n5779 12258\n5945 12528\n9734 11096\n12229 12292\n1906 15246\n7874 9424\n3311 15293\n5102 12503\n6413 10219\n142 757\n5500 10386\n10881 14985\n6791 10758\n3556 12230\n4307 12345\n5782 7908\n2064 13297\n9518 14110\n3842 4612\n10189 12124\n5262 9294\n2829 8151\n3538 13981\n2019 11493\n4859 10099\n7513 14750\n1386 11048\n12498 13040\n63 7749\n10967 11035\n10984 14271\n213 9084\n497 3676\n6122 13139\n4967 12758\n5395 8049\n1737 2953\n4129 11929\n7221 12360\n1606 9271\n5017 7215\n11577 11898\n3190 11505\n7610 8316\n9208 15245\n3523 15248\n5525 13538\n14294 14947\n2469 15483\n7197 11608\n8208 11387\n7798 14545\n2486 7166\n4868 6756\n4838 6349\n4031 10910\n1206 2589\n7909 12905\n2672 13416\n6121 11404\n3214 11072\n6170 6966\n7251 11875\n10745 12038\n1440 11383\n5992 9566\n1433 5244\n1183 1925\n4747 7667\n1218 13154\n8449 13470\n11 8744\n7053 8433\n1916 15252\n3729 8397\n4353 5330\n3575 14693\n8646 9372\n2685 5508\n5631 11901\n8378 14553\n122 9421\n9057 9146\n5606 15477\n5839 9824\n2258 5417\n3466 4110\n9446 13825\n11510 15656\n471 9279\n4921 14188\n6585 12050\n1817 3575\n12662 13938\n3975 13855\n2748 15594\n3903 15573\n1765 14540\n5514 9954\n706 8298\n9200 9945\n189 11467\n4845 15156\n2153 3509\n11351 13014\n9526 15599\n6394 14539\n4179 14997\n7197 8739\n9073 12640\n1244 9476\n7813 12199\n9406 15635\n2387 12241\n4123 11579\n10274 12918\n742 14895\n3169 14391\n3424 3566\n8205 10446\n2239 9687\n2589 6258\n11176 13415\n3366 6539\n8588 15485\n4699 4852\n4584 5617\n810 6806\n5051 14826\n8623 11522\n529 6829\n1065 13934\n7515 13223\n1294 4069\n1401 6562\n3589 13936\n5836 12918\n911 2671\n2277 5748\n585 3506\n12107 13007\n3947 11184\n2385 4481\n11760 11884\n5066 12203\n5540 11467\n2570 8952\n2708 13463\n7944 12655\n13586 15100\n2351 2691\n4462 13377\n3526 7453\n2362 14590\n4784 10719\n5523 9511\n10480 10980\n9770 12615\n8706 12002\n1907 9517\n8926 12619\n5763 14012\n1028 6205\n8828 14361\n8119 11896\n6954 9201\n285 6626\n1437 4946\n13008 14418\n9213 11093\n346 3027\n1718 4661\n8907 13418\n8119 12845\n12349 12678\n47 8760\n5333 8904\n6286 11002\n808 11664\n1379 13495\n7582 12617\n1924 14952\n6233 12674\n4110 9280\n12568 12964\n3867 8730\n1380 13372\n3345 10999\n8537 8704\n5663 14456\n7622 14753\n5055 9412\n1113 2362\n8245 8878\n1039 2843\n10478 12591\n8703 15595\n2997 6975\n3470 10853\n9424 12742\n1751 6235\n4191 9433\n3185 12520\n4931 6434\n12904 13219\n382 6047\n6642 9376\n6416 11195\n197 6411\n2309 10275\n6577 9256\n2108 9045\n9906 11911\n8382 9381\n6710 10031\n11181 11725\n4647 9982\n3964 8089\n1138 7659\n9136 12452\n9918 15013\n7112 8148\n6170 15158\n10 11426\n4997 8977\n4129 7629\n9231 9321\n1923 15262\n8691 12469\n2066 13256\n8663 12176\n1220 10307\n6457 8479\n2377 13603\n5054 15045\n5587 12720\n423 10101\n962 7840\n12612 14359\n13658 14647\n2369 11028\n2972 4376\n11068 14722\n1983 14830\n4853 7066\n4155 12361\n338 4662\n9887 14823\n7640 11269\n2294 3290\n13110 14167\n8853 10256\n322 3048\n1880 8223\n2564 9628\n1150 11491\n252 1241\n283 13278\n5318 6824\n4570 5679\n8021 10584\n2400 8232\n339 12638\n3667 6255\n768 12835\n2598 15366\n3119 5774\n3234 6539\n60 1589\n2544 8263\n4927 11887\n3282 14015\n245 13761\n1260 4027\n1095 12885\n11324 15186\n6748 15064\n7243 14709\n2739 12684\n7 3331\n5859 6216\n10970 12399\n1055 5318\n9514 13520\n5776 7079\n8363 15427\n2669 5096\n12915 15390\n10422 14173\n1939 9163\n9825 11221\n1118 10746\n3282 11024\n9222 14251\n8947 14742\n2623 12899\n6812 11920\n335 11078\n9363 13467\n3368 5936\n1527 6416\n6097 9383\n2130 10258\n10430 10448\n3579 10687\n13542 15373\n1631 12474\n2223 5226\n8669 10499\n7691 10311\n2142 4918\n4627 7363\n5113 9290\n4041 8724\n4065 14978\n1428 8017\n1075 8782\n1960 13869\n587 8847\n1428 10625\n5054 12239\n9745 14874\n2983 8684\n4259 10940\n7638 11244\n3521 12866\n1511 10818\n9020 13626\n11526 14278\n3410 4927\n2397 4707\n5611 8322\n4963 11565\n3137 13461\n9534 15255\n9005 15199\n9306 13848\n2310 13807\n7499 11206\n513 7054\n3115 5117\n1687 13670\n11820 12722\n7495 14297\n12147 13918\n5016 12062\n7786 10314\n1143 15339\n3293 4736\n1025 5097\n1085 3453\n13030 13968\n3418 4126\n1854 9029\n5409 14280\n2897 2976\n2365 14818\n5661 13404\n6406 7382\n125 4164\n404 3839\n11991 15026\n5936 10484\n11923 12693\n4363 15100\n2993 4045\n3641 3932\n1305 3692\n7511 10683\n1604 11889\n5172 11125\n8529 12328\n7934 11127\n13466 14833\n4926 14627\n5865 12611\n1242 10926\n7047 14532\n13515 14597\n5200 12996\n3267 11590\n12665 13681\n2803 13837\n1210 9125\n3750 5665\n5950 15256\n9025 13096\n6696 13286\n9586 13113\n42 9048\n4436 5467\n203 7607\n2815 7380\n12868 13629\n11432 13334\n7230 13902\n11059 13434\n7111 11151\n4314 8573\n10540 14597\n4631 10941\n7725 10061\n3174 4637\n3909 12694\n2191 14122\n1301 11608\n1587 11207\n1359 9641\n13022 13523\n5065 10810\n5297 10609\n2880 3272\n2073 7839\n6438 15214\n8421 13274\n7737 9542\n8035 8320\n7060 13324\n7957 9733\n9784 11049\n4189 14817\n1971 5193\n903 5522\n10248 14904\n2603 8388\n10852 14257\n10662 13522\n4831 9665\n6632 14544\n7756 12414\n4031 8560\n864 1148\n6884 13230\n6581 6883\n12336 14523\n769 12673\n2678 13185\n5242 14039\n5883 7483\n6305 11971\n3625 12760\n7830 8410\n496 14146\n3457 12594\n5396 13311\n313 7210\n2734 7957\n1323 12752\n1369 2639\n2097 3246\n1374 13008\n3284 11674\n5430 10314\n5185 7450\n6579 13043\n10354 14165\n1167 8791\n6762 14024\n4785 12915\n505 1078\n370 11860\n4123 7126\n1768 12527\n3168 7225\n7378 8612\n8079 8764\n708 12240\n6425 14671\n12372 14768\n5497 6173\n7293 15057\n4869 6214\n3812 10367\n909 2508\n10010 14936\n2537 2659\n7683 13326\n367 11029\n12598 15212\n1358 8225\n11597 12076\n2143 14163\n13899 15017\n4226 5783\n1533 7789\n13936 14052\n7119 11439\n750 11507\n117 8134\n4127 5634\n5346 8644\n4052 4256\n2697 10881\n7668 12729\n9774 9784\n13081 14536\n27 8009\n1805 13271\n9767 13054\n5845 9302\n6690 11766\n10980 12637\n761 5239\n7755 13758\n2478 10915\n11190 12130\n8179 8976\n7229 10078\n4481 12023\n4589 8747\n10151 12658\n4062 8317\n7248 12864\n7630 10353\n6849 12139\n828 12306\n4075 15359\n11743 13158\n5806 13888\n2782 3875\n9918 11553\n262 8949\n190 8946\n8614 13246\n5064 11366\n13723 14873\n5391 9603\n1696 3945\n9638 14191\n2375 15015\n1012 1565\n13261 14310\n1798 13644\n5715 14557\n3017 5976\n5975 6436\n3840 7893\n1316 8524\n2486 15219\n4613 4652\n3036 12710\n4741 10834\n1322 13625\n14684 15277\n9561 14432\n10558 11739\n5034 9333\n14908 15120\n1172 15204\n5036 7463\n10370 14133\n3172 12392\n306 13688\n5534 9807\n11147 14071\n8194 14043\n3085 7127\n1688 12600\n3502 11550\n6158 15470\n3221 3580\n876 13778\n7718 9690\n7085 9887\n2708 12377\n8172 11790\n5311 12849\n4385 8819\n3282 4208\n5972 6046\n1483 11630\n2039 2598\n6738 9324\n2490 8613\n5824 10823\n3245 13806\n4446 9944\n3048 4128\n2406 14573\n4177 10614\n7958 13909\n2271 12668\n3350 4880\n1967 5197\n3508 12696\n6853 9563\n6490 15627\n9340 13325\n13193 15555\n412 443\n7156 12538\n5449 15013\n9909 14169\n10532 13756\n961 2099\n7814 10592\n3763 5267\n7967 12030\n307 9331\n4011 5156\n8463 15052\n7449 13363\n318 8032\n4880 5719\n2985 3228\n1140 5260\n278 13930\n11271 14850\n6779 6860\n8864 10065\n608 12826\n823 8700\n5883 11991\n5390 5517\n3168 7655\n11322 12333\n3664 14760\n11512 13331\n11516 14307\n7888 13034\n7647 12408\n5151 11379\n2719 5054\n10532 11797\n6779 12023\n8184 10411\n4331 14821\n5342 9548\n640 13620\n8506 15206\n4300 8884\n5817 6901\n5806 7789\n14691 15257\n1632 4212\n14312 15008\n3371 9072\n4974 13444\n7673 8546\n1227 6246\n6124 15654\n673 2124\n6108 14075\n677 7948\n4450 13058\n2989 6639\n4669 10677\n3489 15466\n1470 14393\n12811 13050\n1444 12715\n10231 12344\n2999 12994\n2011 8778\n2629 15388\n2581 3919\n10830 11270\n3766 11414\n3465 12749\n4786 9609\n2001 9200\n6409 7606\n5362 12197\n1496 11198\n6926 7926\n2601 11018\n282 8331\n10614 13530\n4068 10249\n10714 15385\n1418 2087\n9321 15636\n7341 14941\n1082 10421\n1513 14411\n6489 14541\n3146 5283\n7804 12370\n2897 4245\n5549 15633\n7256 8388\n3584 3817\n1818 2406\n5021 11462\n11635 14767\n7449 11938\n11324 13944\n5252 9731\n10772 13911\n1953 12822\n4463 12984\n547 5327\n9831 12739\n14023 14516\n4109 7598\n2049 14192\n11677 11724\n11640 11675\n3201 7082\n4089 5768\n1089 9797\n7706 11972\n3708 13711\n5173 6929\n11546 15126\n3121 8840\n1151 8225\n196 10681\n5905 13943\n3949 10980\n1219 5818\n6227 7307\n7160 8747\n7465 9227\n1091 9428\n320 5896\n753 6559\n1758 5116\n639 13988\n9 12707\n4544 10870\n5385 14276\n5875 9016\n6323 14143\n664 10452\n8514 13578\n6417 14960\n4924 5481\n10078 15098\n6127 12913\n801 6874\n2551 7644\n4912 12888\n2079 4034\n2627 9281\n5017 13804\n7311 12691\n1059 12948\n4589 10560\n1438 3706\n7429 10566\n1119 12990\n247 3900\n5776 8864\n2922 13519\n1881 5818\n2735 9440\n13063 13744\n875 5100\n7061 9182\n11591 15317\n8637 10648\n1637 6336\n1326 10845\n6072 12933\n2856 7165\n8375 13342\n3106 5846\n7696 12203\n2330 11730\n2603 2707\n2782 9544\n6638 14219\n377 6851\n3694 14659\n1351 11799\n1028 7143\n6624 10924\n8002 10057\n3701 10350\n5783 6621\n12792 13598\n4322 8627\n11681 13931\n14803 15398\n14375 14950\n5001 6407\n7389 12182\n8143 9483\n4866 12505\n10754 11824\n9225 12832\n2395 7195\n4328 15239\n6745 11753\n7293 9999\n4273 5408\n1819 5518\n353 6187\n13983 14528\n3856 13689\n3861 5985\n8978 13296\n5499 12543\n10826 11786\n14429 15396\n5013 7728\n5135 12417\n6628 7262\n7432 13379\n2465 4744\n6155 7921\n8343 15658\n3423 7206\n6234 9386\n8759 13303\n3852 13423\n1595 9036\n7376 15001\n8867 13207\n83 472\n10680 13127\n1867 5682\n848 14304\n11524 15361\n4927 15368\n7244 14686\n12008 14516\n2090 10089\n12101 15373\n3742 10312\n2381 7728\n1207 8068\n13250 14991\n7542 8824\n4287 9635\n14389 14548\n9937 12295\n2134 14183\n5845 6563\n5578 8931\n5479 15539\n4096 6052\n11224 11741\n3070 14668\n2497 4618\n5952 8991\n1933 14742\n9634 13355\n10238 14957\n6552 10135\n825 10979\n3239 8754\n2713 7172\n2781 13430\n3324 4255\n13125 14526\n311 10331\n1451 12224\n898 12711\n8825 9382\n5800 6268\n1230 8565\n160 9111\n10735 14681\n804 10329\n2768 5985\n14974 15177\n5152 7107\n3824 14991\n2744 10595\n952 8677\n7800 14723\n628 982\n12363 15181\n407 10860\n4895 14619\n9427 11760\n5875 13284\n11865 12064\n1853 14786\n6054 14249\n7074 13254\n2730 5426\n2464 14817\n2516 10240\n10479 12316\n9490 11863\n7579 8861\n1202 12464\n3749 9848\n4452 6305\n11210 13504\n11593 14429\n9986 10777\n1284 14302\n6206 8986\n2492 10075\n11664 11897\n8945 9489\n10676 12421\n3282 5908\n12762 12969\n6409 15594\n3837 11517\n8659 14652\n4031 4690\n12032 15462\n3223 13210\n1131 4732\n1448 5447\n5771 8470\n1076 6869\n1759 10382\n11626 15209\n42 396\n11001 15565\n8227 15330\n4363 8064\n6917 8721\n13117 13727\n8199 10116\n6810 7280\n7529 9841\n10743 11155\n926 14765\n8852 12819\n8253 9766\n2501 9056\n3922 5880\n11926 13755\n8074 15562\n9084 11659\n3919 7933\n10356 12783\n800 15340\n8279 9477\n3975 11334\n2736 12720\n1218 13978\n8572 9017\n9412 12254\n4258 15176\n11437 14023\n10696 12071\n2267 7491\n6479 9825\n1499 2699\n349 9629\n6482 13179\n3042 8505\n10371 14464\n4176 14447\n5748 6530\n3354 8666\n304 14031\n10508 14462\n830 980\n4531 14911\n1360 14078\n3761 9537\n6 11918\n5246 11765\n7860 13368\n7811 15090\n7658 11407\n9979 12503\n10706 13713\n3123 9823\n8610 11493\n3300 5133\n6439 11420\n5049 6988\n4027 14660\n3370 10321\n13810 14458\n3719 8167\n5752 13141\n6392 6607\n88 6989\n5253 13675\n9170 12789\n12948 13375\n1537 12849\n1983 2024\n215 9855\n5685 11356\n1369 3213\n7397 8646\n631 2275\n7361 9070\n10038 12725\n5363 11856\n4424 13308\n4874 8230\n2853 15308\n5245 15107\n2127 9995\n37 8124\n3553 9003\n3488 13166\n952 4838\n688 6834\n548 4000\n498 2494\n6937 11687\n3419 5866\n6083 11084\n8063 12149\n2731 11668\n7738 15222\n3745 14589\n6235 14734\n6446 7923\n1254 13983\n89 677\n4996 7189\n2503 9986\n11913 13060\n6230 12796\n684 13246\n8055 8958\n10209 15039\n9241 12572\n1675 14317\n3681 6060\n4715 5311\n1428 12434\n1518 10806\n2745 14402\n3064 9496\n8667 13038\n4408 4527\n2857 5158\n207 2058\n6787 7881\n1554 5746\n1181 15147\n8141 8223\n10951 11397\n2200 2548\n12080 15161\n8075 11622\n1295 8510\n5443 10779\n3812 13327\n5293 14467\n3420 6745\n7450 14333\n819 8458\n2671 10097\n1473 8785\n338 8971\n5220 7458\n1613 7601\n4119 11080\n8631 10726\n4008 4865\n9032 9556\n479 13587\n4526 12826\n4812 9660\n365 15200\n5059 6035\n1995 9736\n3840 11487\n939 9408\n4286 13194\n7173 7508\n7791 9195\n1389 7643\n9033 13235\n5736 6913\n11200 13655\n11395 14489\n5425 7455\n173 8560\n5523 15424\n4434 11589\n1526 8168\n3668 10370\n8137 10614\n3414 9374\n745 11904\n2041 3076\n1285 8875\n9777 10672\n10933 13973\n1513 9344\n39 5157\n7761 14009\n11270 12797\n4717 14131\n2625 11012\n1645 15438\n13274 13650\n4398 13913\n10163 12284\n8390 11740\n8280 13432\n9204 10981\n5763 8652\n8793 13931\n1843 9806\n9074 14051\n11040 14009\n2768 11625\n5084 8409\n2227 14879\n9598 11614\n8243 14430\n11288 12071\n6110 6658\n8972 15345\n2691 3544\n11849 14561\n1895 8317\n1639 7444\n4604 15629\n5338 6368\n32 2258\n2393 13920\n6334 15069\n4794 7291\n5109 6403\n1411 3486\n9361 9575\n9796 13013\n3561 5539\n1703 14004\n10525 14439\n8445 9398\n2003 12701\n11524 12201\n1713 11144\n1728 5659\n1424 8416\n7030 12591\n6313 8406\n2020 4886\n5656 14828\n1448 12438\n5657 6424\n1707 1713\n737 5145\n6664 9998\n2656 13449\n6846 11181\n14069 15060\n878 3066\n785 12517\n3467 13529\n6962 8619\n3888 12037\n8415 13856\n2384 5924\n14300 15219\n2597 6986\n2526 13135\n445 2687\n5379 8601\n304 3510\n3435 10127\n3126 9872\n7478 14081\n12684 13147\n5821 10228\n5751 8004\n2733 4114\n10309 10806\n433 4774\n6193 13705\n9496 13905\n7061 13297\n4345 5769\n5142 13601\n1326 12207\n2860 3191\n1808 7338\n3728 10763\n5120 13733\n3184 11469\n6186 15266\n6201 15390\n7852 9336\n924 9653\n10083 14229\n1691 15659\n822 5920\n5712 9704\n102 12498\n1052 7887\n1008 1095\n5088 10891\n5399 7167\n11224 14963\n689 5020\n12025 15597\n718 14180\n6033 11599\n2343 13652\n1147 15052\n452 2900\n1853 12326\n14423 14465\n4051 9976\n7659 10510\n5427 14069\n8842 14239\n264 7045\n14740 15114\n5227 12140\n5509 7030\n8162 8797\n9395 14877\n2080 11945\n2043 12763\n2236 15295\n253 6986\n532 9661\n7508 10401\n406 3816\n2589 9822\n11252 13106\n10384 14536\n1747 11318\n1591 10967\n11548 14934\n10409 11588\n19 3928\n112 7013\n2656 5274\n4524 13232\n949 13065\n2494 3026\n92 15304\n8779 15338\n10194 13943\n1641 13279\n1411 14116\n1197 14330\n10010 13148\n2937 14263\n6299 12214\n8593 8760\n4737 14907\n6355 14534\n11754 13695\n1119 9715\n570 4542\n4654 12501\n3816 13666\n9009 10579\n7818 15449\n11593 12537\n4426 13102\n8794 11536\n5558 10450\n10219 14756\n4039 12233\n2591 10551\n2413 5467\n869 5082\n5512 14312\n13357 14637\n7798 10053\n10480 13813\n4101 12803\n5094 15580\n11231 12980\n467 5234\n2615 12615\n3531 8628\n2316 8596\n5112 6967\n3854 12509\n2235 13966\n2522 2568\n20 9531\n3587 12773\n4391 15257\n819 8377\n12052 13378\n419 6273\n2812 12460\n8557 13848\n1438 11604\n7249 15008\n1952 14607\n9279 9359\n6562 12082\n4096 8342\n2572 4982\n1092 2536\n3903 10272\n5725 12155\n472 6414\n6912 7734\n6566 7031\n1995 15613\n4374 5921\n2493 8330\n12118 15214\n6417 11098\n7449 13561\n2836 3734\n1785 5575\n9710 10804\n9933 10115\n2995 11334\n8337 15539\n747 15388\n2595 14293\n2759 9937\n12198 12473\n7659 8792\n10491 13029\n1062 10307\n9579 10847\n10801 13577\n3142 8373\n786 1457\n7451 14219\n979 14181\n1848 11425\n346 11346\n6245 9101\n11490 13530\n2706 13129\n11501 15212\n5508 14042\n3414 12105\n6019 6540\n5124 15485\n9856 14898\n2990 6946\n541 2569\n6385 13001\n1006 7054\n2639 4551\n709 3805\n738 8174\n2288 13684\n105 9762\n8696 8937\n3796 4581\n4836 12333\n284 5171\n11992 14053\n4177 7764\n1613 15319\n2567 10829\n8650 12512\n6062 14023\n3385 13096\n2445 10227\n6110 8244\n9242 11957\n5170 9861\n10228 15153\n7488 11901\n13559 15618\n9200 9869\n2003 2952\n3766 8066\n7 6543\n3078 14350\n33 12233\n11132 11347\n4537 9659\n3486 8855\n11829 15110\n14476 14595\n2599 8069\n353 12630\n8209 8724\n103 12101\n9542 10769\n9849 12292\n2190 7378\n7029 12889\n2074 11650\n6988 15494\n8727 13339\n8421 13908\n148 8578\n6471 13136\n7508 13752\n11614 14710\n6072 8399\n2030 4833\n5249 7825\n4452 12008\n4049 13290\n7332 8328\n12015 14727\n6945 10476\n774 6696\n2590 13082\n10829 14759\n4215 8499\n7358 8322\n7080 9014\n9279 15175\n741 15620\n8816 13017\n5015 6922\n3408 6647\n1665 4620\n5714 11320\n167 6353\n5487 15246\n1877 4033\n1125 11322\n357 14357\n2074 11742\n594 10507\n3591 13277\n6543 15561\n5866 14376\n3478 10114\n2033 3963\n2451 10201\n5326 12656\n2551 3363\n12920 15414\n12399 13530\n6509 10391\n8965 14423\n7125 13803\n1021 3604\n8714 15388\n3505 13470\n4373 14033\n3457 5078\n8319 15303\n3663 4749\n3229 13794\n2262 9541\n3147 8735\n6773 7397\n7069 13098\n6455 9293\n1785 8920\n814 11169\n3127 8770\n10130 15330\n9985 10589\n7567 13869\n399 3834\n2819 12894\n10409 15576\n11943 14164\n4393 9104\n326 13611\n9371 10913\n5231 12638\n948 3617\n7628 14063\n7735 13064\n4599 10702\n1354 3628\n9729 10411\n9367 15255\n9214 11342\n1525 7716\n4804 7629\n8241 12526\n1251 4482\n2953 10276\n11539 14990\n1258 11413\n3387 6839\n12752 15450\n5225 6442\n5172 11862\n1756 10858\n2210 13876\n2304 8500\n954 7682\n1490 9211\n7323 10562\n9016 10627\n849 9713\n9077 12230\n176 13026\n1796 8884\n2583 7766\n13172 14852\n867 8645\n8860 11565\n11746 12372\n11662 12979\n8264 15195\n494 1603\n879 13280\n2167 9146\n1226 12285\n10249 12143\n5468 12090\n6524 13180\n1635 8482\n8348 13042\n5053 6776\n13830 13894\n13660 13722\n7350 11920\n4845 11110\n6249 7650\n8778 10541\n2320 5894\n3974 7760\n154 7132\n14630 15302\n5710 6783\n3868 9560\n14159 15108\n3526 8903\n6684 8619\n11416 15378\n881 6274\n4086 5108\n477 2313\n856 4429\n7746 13188\n1947 4768\n6884 12306\n8054 12844\n5958 10179\n5503 10000\n8726 9845\n1666 2015\n8935 10893\n1685 4117\n142 13340\n4275 5345\n8580 8733\n3865 14379\n10093 15486\n6690 15122\n13785 13795\n8898 14119\n9816 13153\n12406 13233\n461 4169\n4199 8154\n8290 9325\n7979 14404\n5183 11430\n5573 6868\n1122 14308\n2543 13368\n6555 12674\n649 14241\n6836 10959\n3663 8751\n2924 14002\n9201 11542\n3179 4791\n8694 9404\n1420 13973\n13067 14575\n10539 14830\n13859 15652\n11076 11226\n11560 13838\n6715 15618\n3057 4389\n9157 14478\n4230 10322\n5880 13046\n7633 13153\n2357 6164\n11975 12880\n4196 10844\n15 9036\n1177 7738\n7816 11533\n2714 13098\n1581 11992\n3097 10631\n4603 7783\n4378 13116\n2820 8573\n8431 10570\n3073 7646\n3737 10896\n784 14773\n4731 7490\n984 12840\n944 6526\n6586 14740\n1746 14472\n9873 11021\n1888 2694\n2892 13298\n250 9485\n6598 10830\n6705 10044\n8888 12384\n437 12325\n4750 13430\n1675 8993\n111 14594\n11789 13323\n2091 3509\n2271 6419\n2948 12640\n3684 10671\n8175 8463\n5651 7292\n2803 3690\n973 3695\n1398 2176\n3106 11082\n1959 4475\n1782 5764\n4703 15569\n923 6120\n3544 3583\n9210 11273\n1710 15084\n9662 11599\n8775 10733\n8425 13856\n4402 10752\n2550 8235\n10997 13202\n4926 14587\n7002 9671\n9971 15187\n5379 6052\n12495 14455\n5877 12706\n2344 13507\n1610 15076\n12980 14293\n3147 5965\n541 15470\n56 5463\n8668 14681\n6056 8191\n3999 4126\n11067 11082\n2525 3479\n1248 13767\n47 11740\n803 10745\n2451 13456\n2293 6361\n1829 14404\n5661 8938\n264 12168\n7686 11048\n2228 15592\n1040 6601\n2295 12583\n254 5549\n1850 11928\n530 12083\n7006 11339\n2554 13658\n747 13667\n4412 15459\n12263 13322\n605 15637\n2586 8441\n896 6288\n12903 13429\n1768 4647\n2841 3557\n2797 7421\n11854 13838\n2541 13009\n2965 3038\n11117 13127\n9346 13942\n11037 14608\n5671 10269\n12725 15306\n5249 14598\n2019 14243\n657 7312\n9805 13238\n1810 2669\n314 8371\n8802 12617\n5134 15123\n6415 11484\n7830 15121\n1170 14980\n2852 9213\n1354 11028\n6025 13885\n2657 12398\n3299 11308\n5197 8542\n9858 11001\n3088 8372\n158 6760\n5183 7533\n8190 15297\n12106 14064\n2126 9156\n4338 10395\n1296 3158\n6783 13059\n8392 14540\n26 6317\n10494 15465\n4784 10743\n4139 9858\n7727 9604\n11245 15597\n8503 11365\n9245 11326\n6168 10155\n764 3682\n4829 10990\n2313 4457\n409 7141\n9235 11077\n5158 15317\n12312 15275\n2946 6264\n10321 14903\n3510 14467\n4522 12253\n5571 11233\n2538 15114\n5454 11237\n1929 9558\n9435 12475\n1102 6965\n3305 10347\n4023 14264\n8635 13988\n284 13971\n10961 14678\n2328 11550\n11744 14700\n11924 13720\n2617 11420\n716 8509\n10 7831\n1096 14736\n12542 14876\n5333 6767\n1430 6236\n15077 15223\n9095 10396\n159 11691\n251 8034\n134 6504\n1208 10256\n7745 12797\n11717 12814\n12864 15557\n2682 8108\n6900 11285\n6229 6789\n7486 13513\n9593 11800\n5221 15500\n626 5806\n10757 14485\n12622 13018\n956 9228\n2020 11494\n4892 6574\n4936 11548\n5906 9980\n10964 11758\n1428 12090\n2692 12512\n11978 13092\n3759 8366\n10495 13582\n1345 3642\n3073 9446\n3297 12309\n11378 14254\n962 6903\n4899 8093\n839 5639\n1500 15587\n3428 10750\n1235 13639\n2106 5274\n3468 14539\n8708 9148\n4296 8358\n3344 15093\n1377 4753\n5109 10896\n1495 11449\n2701 5660\n7697 11586\n11298 15348\n3990 13537\n1516 15547\n7166 14422\n360 6929\n3747 13323\n7544 9872\n7913 13743\n3607 4217\n6458 12590\n2716 12843\n70 3255\n3569 11998\n379 4192\n3667 6341\n8276 8759\n836 14938\n6934 8520\n10267 13301\n13020 15216\n7658 15251\n11295 12816\n7418 7730\n11327 14006\n10350 10630\n4911 8225\n5531 12073\n9370 11173\n12504 12803\n12138 15071\n12480 13713\n731 11302\n7546 8842\n11661 14175\n10368 15127\n1351 10393\n7978 14100\n2428 13864\n3545 7763\n74 1617\n5586 11436\n6807 12073\n641 12040\n6764 15610\n6284 8732\n14160 14980\n8290 8711\n1829 5311\n1327 2178\n10560 10880\n1065 10276\n8374 14162\n8663 9754\n2541 9180\n3150 3405\n4371 7168\n3237 11484\n264 2819\n10790 13467\n3337 8868\n6431 10347\n2053 7972\n1644 9143\n26 5858\n3839 4279\n2 1362\n6789 14686\n14829 15241\n3516 8452\n1273 3360\n169 10437\n10238 12794\n3231 9650\n2378 3689\n5271 13691\n6105 6436\n4418 6289\n4580 14457\n9780 10868\n8150 10487\n7376 13830\n5811 14290\n1862 13268\n173 7029\n4594 10983\n7375 15401\n6878 12593\n6088 14231\n12692 13527\n2341 2392\n274 8668\n9850 10555\n7489 14394\n2173 9317\n984 11705\n7136 9495\n4443 15436\n301 5868\n226 8657\n7484 12094\n3220 11614\n1026 12459\n8223 13784\n3817 13351\n6996 8380\n15032 15318\n9519 12995\n7049 10485\n9512 12776\n10635 11475\n5282 14630\n9532 14148\n9765 11129\n6325 13182\n4154 4882\n9402 14067\n145 6292\n3296 7762\n510 5499\n901 14703\n8268 8437\n7076 9578\n9956 14127\n9468 11574\n7613 8725\n2169 4643\n2995 8939\n8856 12884\n7816 11289\n5237 10154\n1780 11833\n972 1520\n2253 14549\n1727 7319\n3228 8686\n7496 11833\n2387 8017\n4434 10545\n877 13515\n4440 6000\n4179 7587\n197 1165\n10190 11847\n3120 7622\n4244 6306\n11637 14905\n287 7181\n9820 13845\n4187 4831\n6355 9175\n9593 15398\n7952 10040\n1439 14496\n7852 8778\n3463 7308\n2706 14887\n8753 15543\n3321 10245\n2209 5138\n27 11559\n3373 7131\n5205 15485\n997 13905\n4365 9591\n4000 5192\n1408 10899\n4660 13182\n7127 8309\n3575 15255\n298 9323\n4459 14779\n1842 6695\n4335 13517\n814 2771\n4947 11307\n2750 3975\n1844 3656\n12159 12780\n5007 14948\n5745 10100\n2696 14829\n5193 6749\n1414 8418\n9717 12829\n4146 15464\n9626 15206\n4521 13478\n1455 11302\n1019 5602\n5624 8701\n7169 7614\n7213 14345\n4116 11605\n8421 11213\n12969 15055\n4628 15491\n1946 2425\n247 15328\n14181 15638\n5092 6359\n1811 6972\n9027 14000\n3657 8289\n10855 11539\n3049 13428\n1593 4160\n7461 11313\n2542 3545\n380 11693\n6051 8216\n7922 14417\n1136 7292\n1626 2998\n4996 11535\n5374 9286\n5762 9890\n6709 10568\n995 5572\n6665 8302\n11577 15114\n7994 12106\n1775 15338\n4778 10696\n7722 11032\n4999 7086\n9404 11366\n4507 7925\n4415 9241\n539 2153\n3481 9489\n10031 12675\n3608 9149\n3982 11680\n8767 13008\n5905 13860\n2011 12171\n702 4284\n7669 13278\n466 6588\n8064 10924\n1394 8444\n3301 7947\n6257 13017\n1649 11176\n5478 6358\n3490 6376\n2822 9722\n8466 8681\n5610 11311\n851 5674\n1416 11433\n6784 11386\n2300 8026\n4251 5073\n13150 13412\n9982 11353\n8716 9321\n4533 13172\n5052 10208\n11326 13437\n11558 11806\n4740 8267\n179 8704\n3147 9298\n3137 4497\n2008 8535\n6189 14981\n6009 9425\n5287 14624\n13626 13987\n1503 1869\n8313 8765\n4462 14114\n600 11631\n436 9125\n11926 13818\n290 14442\n664 3050\n1420 7941\n13734 15124\n472 15247\n5045 10155\n5659 11648\n5618 13125\n6304 10718\n5229 15594\n6778 7781\n762 11537\n11275 13229\n3006 8114\n3056 12153\n3266 8463\n1617 10573\n55 343\n3041 9768\n8394 14574\n7403 11318\n6838 9991\n2486 7888\n5777 11117\n12173 12919\n2602 13071\n3739 4471\n5898 14861\n730 14517\n6506 12951\n1052 8818\n9147 12076\n8127 13047\n633 10400\n2322 10521\n11280 12337\n495 11232\n6412 6734\n11462 14453\n2662 3654\n433 5079\n11936 15616\n9388 13700\n210 11562\n1306 3421\n9603 15237\n2628 7410\n65 10454\n2136 5714\n1373 11625\n9454 14981\n3824 8980\n1750 7153\n2264 14685\n3101 6831\n4638 4670\n7618 12806\n57 12994\n9692 11686\n3029 8263\n1029 13844\n5181 14954\n3642 7890\n7220 8474\n1803 6715\n9512 15538\n5238 6138\n9494 13984\n4407 4620\n1389 13068\n12939 15052\n913 6318\n12964 14886\n2474 10823\n8947 12807\n495 14127\n1534 8478\n3332 15391\n200 6425\n300 11477\n2579 6333\n11366 11771\n2462 14358\n546 8276\n150 923\n4634 10296\n4686 14645\n3433 9779\n3056 10347\n4087 13079\n3603 13653\n10306 14798\n2345 10325\n11398 12977\n1309 12153\n1308 12700\n5005 9724\n11248 15379\n3109 7518\n6209 7556\n8700 10715\n6180 8783\n10083 14824\n10053 13979\n4980 12381\n7558 9865\n11939 15177\n2490 13170\n3842 8169\n6242 13671\n5106 14377\n5602 8826\n4988 15465\n1117 9355\n3511 3524\n7146 9397\n7209 11991\n1881 11449\n6579 11185\n7907 10096\n401 6459\n2319 7892\n9619 10482\n5096 13190\n1533 6836\n4658 9762\n2519 7422\n2625 8439\n2062 2496\n475 7381\n3669 8404\n3038 12822\n7529 10962\n5164 12169\n3368 11725\n119 12971\n1621 1937\n7535 11065\n6873 13054\n7673 9954\n8510 14314\n3704 8886\n13012 15217\n13466 14263\n2624 12777\n4554 11396\n12690 14627\n9576 15131\n327 500\n10141 14975\n6925 15646\n1881 10479\n6350 14938\n30 11043\n2796 8576\n2530 7830\n6009 12739\n4725 6381\n10266 10878\n4678 10522\n5991 6154\n4943 10626\n4943 10597\n1412 5098\n7774 12798\n3781 6794\n55 3601\n3102 5691\n11972 12708\n11194 12901\n654 11105\n1992 2384\n1024 2465\n10005 14656\n1286 12374\n14922 15323\n13301 14084\n14339 15435\n11053 13860\n2589 12391\n5115 13638\n8961 14888\n8419 11365\n2084 4340\n637 5223\n5753 7071\n4789 10112\n6636 10247\n8224 12108\n348 14707\n4734 4770\n8778 9657\n2991 6555\n2507 11788\n7198 7866\n6628 6936\n2336 14110\n6843 9020\n10346 14507\n4812 7007\n11331 15171\n4057 14774\n4834 6646\n4692 11133\n2356 4762\n11471 15456\n12266 15167\n6117 6705\n421 3601\n2577 3973\n4848 12987\n9658 10363\n12020 14574\n3922 15464\n10522 12167\n4691 8431\n8694 8853\n5589 6650\n12260 13275\n4703 9595\n674 15636\n8501 11376\n6036 9344\n3372 12254\n4264 13858\n10898 13494\n4431 12823\n161 9955\n2303 12969\n9999 14286\n670 13611\n5750 9216\n1036 12988\n12266 14912\n11769 15505\n8154 8695\n11860 14340\n4927 9493\n3306 4364\n10781 14622\n4662 14278\n2529 4420\n8990 14408\n225 10124\n7795 8711\n13742 14280\n567 5919\n2051 5209\n1453 10123\n2228 13044\n4551 7241\n1501 9525\n2630 3562\n3798 14951\n7862 13358\n8082 9933\n3108 9840\n7801 15252\n5122 9431\n3036 5998\n12753 14820\n848 3068\n8656 11280\n2662 7700\n9417 10149\n13012 14954\n6471 10732\n748 2687\n1540 1734\n11232 12007\n5762 12375\n3204 6791\n1812 8903\n2603 6380\n790 3945\n10322 14798\n1391 6000\n10552 15613\n9030 10405\n14091 15581\n1203 7186\n7707 14157\n10027 13250\n5047 12575\n4121 10712\n3358 9834\n892 15012\n770 14043\n3532 5228\n1697 8841\n1175 7925\n12776 13540\n1724 4084\n4398 14033\n2755 14205\n1081 15123\n8827 14633\n2180 15158\n8818 10954\n6800 10782\n7956 8546\n1314 4800\n6279 14184\n11032 13008\n4916 10197\n3618 14100\n11022 14301\n1309 15114\n6479 7498\n12171 13669\n5358 6809\n4615 9132\n10079 15173\n396 5943\n3244 4572\n5235 7523\n8968 13931\n1627 11694\n12478 15076\n9014 11903\n861 14521\n1871 8510\n6110 11235\n2239 9888\n8767 15312\n3124 10849\n5559 14815\n6046 11532\n2235 12165\n10917 13750\n19 2586\n9571 14961\n11998 14484\n10332 13190\n5103 12172\n10705 12721\n5963 15397\n1114 9568\n6203 12344\n8222 15147\n4746 9240\n2235 12701\n213 12560\n5172 9181\n4416 4607\n785 5459\n8928 9873\n7521 15161\n5563 10109\n3456 5256\n85 11433\n4098 5853\n4788 10901\n196 12755\n2171 3106\n139 7792\n3269 10293\n4031 5998\n10089 15515\n2128 4204\n8346 15317\n6350 7730\n1290 2628\n1082 4644\n4795 6212\n2199 14566\n6792 7469\n3276 10054\n4211 6308\n5164 6188\n7248 10462\n8290 9517\n1083 15002\n2772 10752\n1194 1789\n2185 14479\n6550 6794\n5420 6044\n3412 12234\n6016 8613\n2224 4294\n2720 9778\n7712 14434\n5535 12143\n11937 12677\n1231 15327\n12434 14484\n3640 12667\n1519 8588\n4749 6990\n7848 14225\n615 688\n1685 12554\n1303 11234\n815 4093\n10475 14984\n1071 4056\n8979 10065\n3276 9620\n1240 2637\n1398 4755\n837 2991\n10724 12900\n2503 5475\n4070 10043\n6818 13926\n3927 10050\n10674 14734\n12366 14084\n58 6775\n7926 11323\n918 1169\n7966 14506\n1371 2213\n1710 7021\n6273 9630\n3980 11944\n1712 6400\n3811 14908\n3115 13674\n2983 4135\n4982 12051\n7326 8442\n9782 14162\n6448 14954\n10514 14086\n416 8672\n8023 12022\n6154 6204\n6820 9803\n5453 11676\n4417 12313\n7992 15399\n7592 11204\n2765 3102\n7130 11747\n11770 11855\n11421 12129\n2683 9042\n2471 14844\n15151 15602\n307 535\n2639 3219\n4005 6365\n1515 11695\n848 5473\n1197 8175\n844 1558\n1443 10833\n603 6112\n3467 7984\n867 8115\n6523 15023\n10914 12022\n3165 15431\n1024 15654\n8354 10944\n1943 15531\n10542 10618\n5582 9563\n4579 9983\n9117 12407\n455 6274\n98 2884\n4791 15413\n924 2372\n3644 7005\n5294 12523\n2358 5377\n6087 10417\n5724 12693\n3660 8599\n2285 3527\n3487 10748\n4978 13599\n7329 14555\n1236 14682\n250 7780\n5977 6592\n4629 7033\n1753 11939\n56 4688\n14377 14868\n5913 7030\n7686 11553\n93 14927\n2144 11545\n7233 15004\n6994 10706\n4810 12374\n1571 7479\n9608 11305\n9853 11803\n2089 4378\n11163 12362\n4598 11069\n910 5963\n1438 11210\n1340 5948\n261 5950\n5590 6736\n5093 10540\n2246 13547\n2024 12195\n4178 13618\n10463 13012\n10376 13613\n736 10884\n8357 15010\n9157 13372\n8420 14374\n8217 8745\n4526 7443\n3611 11092\n937 1456\n2442 12719\n6884 8056\n3157 5966\n11242 12509\n6003 13487\n1305 1472\n6242 8053\n7633 8461\n14023 15241\n10481 14732\n5555 11396\n951 8437\n5690 5975\n994 12897\n5768 8269\n683 13874\n11617 12867\n12845 13027\n3043 13354\n10781 11332\n9581 13278\n6047 15010\n11563 12034\n11640 14108\n827 7591\n765 3480\n2854 11105\n1136 11226\n10931 11802\n5823 12011\n5 13403\n1066 15234\n8162 8186\n697 841\n11206 14325\n3444 3881\n14132 15517\n849 4634\n6232 6327\n996 7307\n5377 10493\n826 9076\n2089 2230\n3139 3486\n989 14873\n7692 12754\n1362 8329\n9204 12958\n513 10058\n1025 2368\n8334 9530\n12287 13800\n12165 15153\n290 2165\n2189 13289\n5470 7547\n6871 11123\n302 13994\n7591 12169\n3688 9125\n6313 9367\n6076 8994\n10848 13173\n6864 10456\n6610 7728\n7283 7600\n2411 14112\n3627 15179\n4150 14392\n2288 7415\n1372 4393\n2334 7264\n5798 14271\n11596 12970\n720 992\n13338 15619\n7681 8406\n1811 15184\n1334 7182\n1838 9585\n615 1466\n13333 15033\n4441 15541\n2076 12916\n4357 7979\n13933 14009\n2840 3635\n10294 14810\n1893 14469\n4485 4603\n4983 13745\n1408 6700\n3020 11996\n5240 7802\n6494 12187\n5699 13978\n11947 14492\n11064 14667\n1521 10578\n784 6916\n8375 12214\n9802 9942\n4821 5091\n5191 6011\n4441 8564\n2936 11851\n6580 12574\n1770 10469\n2621 8352\n4301 10944\n1765 5286\n7117 11210\n8496 15491\n6495 10084\n9555 10240\n13915 14938\n3142 7212\n5215 6965\n1904 6245\n6543 7108\n7403 14119\n1603 12122\n3541 13654\n10012 12391\n12082 12879\n4387 9363\n14959 15400\n5357 8536\n2065 12888\n3973 10270\n325 1243\n1421 12419\n1052 3643\n1520 10207\n8828 12920\n1115 7663\n6254 13652\n6410 12045\n150 3462\n2031 6967\n5562 6047\n4648 11535\n526 10611\n969 2158\n12083 12101\n4371 7617\n8989 15261\n2277 14219\n9974 11738\n935 5800\n336 5449\n7921 11780\n6050 9910\n9142 15438\n686 4071\n446 1617\n4533 15039\n186 9104\n1335 6380\n4205 4630\n5773 12975\n9920 14725\n4193 6487\n4871 13216\n4247 10380\n346 14367\n7985 10900\n922 11565\n770 772\n1200 12312\n4298 7063\n1321 10621\n5307 8579\n9433 14450\n8218 9553\n7562 10161\n985 12655\n5351 11616\n306 6602\n1975 5808\n9405 10785\n1676 3822\n7312 15100\n10224 14146\n9572 12468\n10567 12047\n844 6505\n7249 12825\n1935 15498\n8895 12341\n4273 7828\n6600 7747\n282 4351\n6967 10402\n3532 14857\n7618 11046\n5013 14894\n12359 15330\n197 11457\n1178 3918\n1609 2053\n5442 11568\n2612 14481\n379 13919\n5375 15152\n3136 6144\n2217 13286\n1081 5534\n2120 14136\n108 12344\n4972 13133\n7614 13662\n3301 5228\n1694 5854\n2567 3424\n3182 10342\n4926 6373\n2502 5971\n2175 7707\n2808 4879\n1836 3444\n3197 6510\n6891 10720\n2623 6298\n6700 6869\n9096 14213\n536 9282\n9859 14534\n3572 15530\n3762 5873\n28 14954\n3986 13089\n12637 14555\n7259 13532\n1616 11861\n6072 11666\n3796 10091\n4169 6305\n5010 10213\n13116 14787\n6794 7682\n5069 7256\n7269 9211\n4422 15212\n104 3484\n3969 10565\n3784 11202\n10167 12959\n3161 6149\n1671 9407\n5608 13440\n671 1879\n4428 13941\n4482 15160\n6498 6642\n534 14129\n4889 14948\n11121 13899\n1948 11039\n720 1546\n2671 13869\n2802 14222\n10080 15180\n2407 5312\n5630 6016\n3915 14861\n9690 10426\n5387 8810\n7075 9450\n9945 13974\n5385 10069\n10417 13687\n5887 6020\n12905 14262\n6512 8049\n3311 5827\n9439 13059\n3610 6828\n2429 6222\n2412 2612\n6130 13820\n358 3941\n3570 13964\n1994 10660\n1357 4014\n7181 7248\n7271 10308\n10681 14998\n10357 11102\n4070 10522\n4451 14082\n5991 10337\n3709 15598\n14559 14769\n7434 9820\n3632 6995\n7948 10640\n4815 12729\n10475 15120\n3746 12475\n51 11511\n7216 9373\n5557 8274\n679 10496\n5424 12161\n410 8095\n5032 12048\n2230 11737\n247 15493\n4916 11464\n7273 15438\n3915 13679\n3000 10774\n4203 15611\n11489 14498\n828 13455\n8424 14722\n2631 9548\n5752 15292\n909 8104\n5739 8517\n3971 4166\n1546 14916\n13446 14200\n9342 14850\n6220 15191\n4229 12537\n2068 5880\n3293 6101\n4645 9564\n4662 8949\n299 8599\n6785 8508\n6595 15517\n5726 11674\n408 3657\n1248 10366\n4211 6056\n10141 13498\n5085 5367\n8023 12992\n6516 6831\n6399 11225\n2685 7692\n1837 8316\n522 7087\n7070 8022\n7498 8476\n4345 13428\n2507 7782\n1182 13566\n6444 11798\n11044 13482\n5182 7975\n4718 6980\n11639 15091\n4525 7195\n11373 12288\n3138 13531\n8796 10246\n12075 12795\n5031 9608\n3358 5929\n6623 8455\n1123 14684\n6127 12504\n6817 10277\n1259 13882\n8644 11012\n6137 13763\n5017 15170\n7854 13217\n8680 11642\n12005 12371\n228 12270\n4365 8211\n9265 12569\n1055 12738\n12887 14286\n7405 13407\n1408 12186\n1647 12647\n11122 11885\n49 10309\n253 637\n3128 11146\n14212 14404\n288 10070\n3741 6399\n8274 9202\n11265 14183\n8136 12747\n1239 9105\n2087 6989\n2559 14463\n8907 8986\n3234 14980\n11191 15080\n5411 9494\n8652 13520\n3955 15024\n6036 7421\n6537 13877\n162 1834\n318 11325\n12525 13829\n8546 10224\n10259 12752\n1002 5663\n4533 10660\n1384 14667\n10896 14552\n6532 15420\n9129 14312\n1612 6721\n4374 4596\n5546 10858\n6238 14850\n8404 14587\n7075 10125\n375 12245\n9960 11542\n9450 14927\n1930 11141\n736 11626\n6894 13087\n3723 10149\n2305 7275\n5086 12567\n11065 13230\n8903 12704\n1149 11548\n11725 12667\n1617 15146\n3408 7458\n835 1306\n7659 9375\n12983 14424\n13380 13920\n2369 5579\n2090 4823\n2506 13645\n4374 13218\n1211 11711\n6477 15649\n2574 6947\n10011 13792\n4019 9296\n7247 9852\n7003 7846\n4673 8400\n14132 14975\n606 13376\n3792 13526\n3054 12227\n1506 8827\n35 15465\n6234 8790\n11727 14833\n7655 14813\n1835 10100\n5129 9998\n5884 7777\n5199 15493\n12252 13536\n5914 10655\n1502 9226\n479 3140\n4656 14972\n161 15420\n2781 13578\n837 1799\n2816 11156\n2221 15279\n728 1443\n2246 13315\n6636 11986\n2984 14761\n11803 12880\n4410 10410\n1129 13310\n6127 15025\n3902 4698\n393 10487\n6239 11720\n4261 15551\n3049 13873\n4983 9074\n7020 8463\n676 2778\n8222 13331\n1650 11493\n5776 12692\n8958 13640\n8952 13181\n6708 10500\n6382 13628\n9171 9201\n6879 14513\n2880 4348\n1204 6206\n8649 13549\n8867 15358\n4209 13854\n424 9484\n5117 10593\n4134 4971\n1575 2493\n748 14306\n14275 15086\n2337 11768\n4266 4654\n3189 12916\n11193 12621\n10045 12176\n3995 7629\n1861 9788\n5438 10135\n11163 12168\n12817 13143\n1255 6438\n3700 13111\n5618 8508\n11544 11690\n1111 5978\n593 8523\n148 7259\n3970 15133\n10360 13534\n7811 13602\n1555 13857\n13034 13716\n2689 12976\n793 2907\n7492 15239\n8241 12932\n1119 9569\n8793 9805\n6545 11081\n3169 6036\n2092 4643\n2434 15460\n803 11814\n9402 12895\n618 14320\n2479 10434\n6262 9482\n4516 11814\n147 12700\n5270 11153\n1472 13152\n10982 14099\n946 2677\n2529 6657\n3951 8149\n6271 7279\n2952 3107\n11421 14890\n1518 13261\n3376 10172\n7398 12046\n5662 8656\n3918 10553\n10256 12946\n2747 6622\n10950 12420\n8759 9677\n11280 11605\n4218 4651\n10635 14284\n5609 14375\n1846 7308\n5033 11781\n4115 6079\n4627 12844\n1215 5961\n4910 13859\n3335 9666\n11181 14929\n3166 3627\n1317 7550\n3339 13056\n1766 5031\n3982 6496\n2340 12888\n5596 11618\n3998 14672\n2572 10833\n3778 13000\n485 11701\n4973 12150\n7564 7925\n4607 7089\n6913 13809\n12139 13641\n7581 11454\n1925 12119\n9320 9936\n8287 15427\n5816 14917\n2069 14960\n10396 13638\n5791 9389\n11116 15522\n5867 6000\n9324 10897\n4299 7147\n2200 4054\n5789 13624\n720 10885\n9000 9049\n1939 6976\n14588 15359\n3482 4228\n7951 14728\n11929 15339\n2500 12275\n3946 14253\n2678 3899\n223 12074\n7931 8793\n2969 7650\n12022 14051\n9265 12657\n3091 6045\n8675 10818\n457 7677\n4113 8881\n8380 13866\n10675 13718\n3755 10749\n4000 9052\n5688 14237\n6340 7824\n8136 12668\n5622 8921\n1868 7253\n10130 13535\n3457 7033\n11773 13193\n6813 12851\n593 14671\n7315 10342\n5212 10602\n7818 10878\n2964 3997\n3331 5174\n2209 5086\n2065 8838\n4712 12847\n3783 12895\n10291 13474\n5727 10006\n4235 4947\n6726 8943\n969 5076\n3066 10134\n8837 13208\n3171 11521\n2789 15630\n4314 13541\n8108 8322\n3966 9388\n1441 11596\n11159 12480\n2248 5044\n4317 8881\n3450 9307\n5379 12158\n9429 11888\n2537 8645\n1010 9197\n1135 11312\n1264 3617\n11410 14406\n9750 10697\n1710 10166\n12603 12845\n6745 15106\n9367 14666\n2676 5195\n6007 9490\n3301 9472\n10561 12639\n10100 13856\n2581 4919\n794 7247\n3584 15598\n343 5395\n3969 10960\n1539 6831\n2907 11066\n10413 14438\n4142 7921\n8068 10595\n148 12793\n12258 15374\n2226 5677\n11215 14154\n7370 14933\n166 8330\n5276 11204\n2262 5382\n558 10537\n3860 11946\n8759 12267\n5886 8530\n1359 7769\n9305 13401\n6349 7020\n15018 15292\n4226 6837\n11702 14314\n1418 7321\n1064 2064\n1067 11526\n7082 12484\n9140 13308\n10985 12868\n1347 11697\n11708 14302\n11252 13414\n1057 4226\n1374 2827\n3877 10279\n12175 14149\n10753 13033\n5467 6303\n6703 8659\n11367 15055\n2423 4187\n338 12821\n4172 13538\n9532 14605\n5049 6933\n11370 12929\n3620 5639\n3138 5055\n2966 7952\n5533 11533\n5413 7805\n5065 11699\n7021 15324\n13643 14236\n6727 15297\n5062 9253\n1456 2754\n11041 11317\n2900 15613\n3823 8145\n10458 15395\n463 11478\n873 2673\n5130 8168\n7419 11938\n2485 3558\n4720 6084\n2113 9323\n3407 10379\n12401 13704\n11242 13089\n652 15511\n293 7139\n10064 10518\n9271 10319\n12083 12859\n9118 13060\n6861 11468\n1149 12588\n1014 1335\n13846 14203\n3405 6372\n2700 3790\n1069 1105\n1510 13529\n9498 10067\n3149 7805\n8175 9765\n8639 14958\n3625 11636\n4233 8833\n13721 14071\n5505 9816\n4355 9308\n4386 12259\n6445 10429\n5631 9257\n57 12860\n6575 7973\n5092 12053\n8752 10578\n4860 8917\n12242 14308\n4939 8154\n922 1507\n1615 15337\n2862 6077\n1130 11000\n5601 13677\n6767 10184\n1974 10017\n3347 15578\n6002 12494\n2883 9281\n9042 11370\n6580 7904\n1518 7370\n4446 11196\n13034 13311\n3847 12928\n1360 12410\n1450 10385\n14705 15178\n12607 13692\n734 6779\n9961 14987\n670 9523\n3241 10398\n6640 13743\n7951 14511\n10249 13383\n6019 6285\n2462 11293\n2703 9570\n13422 14887\n623 5128\n6733 11853\n10101 12644\n6706 8282\n12636 14535\n2659 14535\n6098 6963\n6236 7086\n8458 8943\n5489 5830\n2557 6921\n2630 4740\n6519 7607\n8047 14166\n838 3235\n9144 12704\n5298 12772\n3475 10346\n12551 13491\n8657 12931\n181 8716\n6828 13551\n8656 9314\n431 7923\n6069 11723\n4067 12711\n10068 15429\n1428 15228\n727 6496\n1479 4240\n6711 7294\n2174 3398\n3137 14905\n971 10397\n7490 13764\n3815 11119\n1883 12252\n6466 10197\n4483 15285\n1066 12971\n804 3166\n8956 10966\n3178 10534\n5695 15321\n2265 3638\n1758 13969\n3792 4727\n1228 2748\n6346 10917\n2425 4858\n1799 6634\n763 7890\n7122 10647\n7089 13831\n6898 10808\n1096 2371\n10333 10914\n4847 11049\n1406 2739\n6736 12065\n6935 14048\n7519 15596\n923 10627\n2401 13487\n8900 11958\n7635 8317\n3514 8495\n6919 13972\n5400 10636\n4957 8105\n856 6711\n5566 15627\n9368 13593\n8038 11048\n10017 12523\n5289 10955\n2921 6161\n6573 12506\n6090 14974\n4324 12338\n673 9669\n614 2443\n13804 15508\n4827 12116\n1427 8805\n9726 11637\n7152 14160\n3278 14143\n3779 5817\n11855 15003\n5823 15642\n298 11377\n2886 3284\n2818 13619\n2062 7378\n3939 15421\n10890 11082\n2729 11116\n2565 2811\n1783 13682\n3604 13466\n699 12573\n13466 15448\n6275 9352\n10141 12325\n8837 10658\n5197 6189\n10904 13612\n4468 15351\n1485 3464\n5399 5464\n5510 13333\n2011 6666\n11780 11976\n10679 13736\n5655 11159\n11816 12583\n2825 4300\n6969 12196\n2094 10076\n2619 9249\n7128 7180\n1195 13073\n7275 9778\n6663 15134\n2651 6275\n5384 11467\n214 556\n1226 5610\n12733 15050\n6742 8522\n2993 14501\n1953 15372\n8026 15385\n10239 13016\n9089 13674\n2712 12953\n8620 12582\n1887 11960\n1758 2742\n14007 14065\n1973 10192\n1659 9251\n4952 5513\n8241 10164\n4978 5055\n2035 15554\n5922 13222\n119 9162\n9026 14178\n11112 12568\n2853 3326\n4131 7349\n7808 8231\n2724 10344\n664 6251\n4962 15292\n11537 12856\n2647 11522\n10132 10523\n2573 13947\n2462 5006\n6224 7222\n5179 8422\n4171 8687\n2187 9334\n4118 9060\n13092 14836\n10385 12942\n7824 9483\n2107 14836\n804 2414\n6399 13471\n1325 4488\n2099 5129\n8374 15344\n2497 10095\n2944 7610\n6266 11836\n7842 10280\n6221 7006\n4207 7733\n470 12177\n2849 8080\n1853 14968\n3896 8106\n5244 14950\n9248 12264\n5341 7403\n8788 12138\n1359 5850\n4775 9078\n6624 15596\n11493 13378\n5420 10182\n101 3518\n2460 15239\n11772 13390\n4305 5054\n3864 5288\n10848 15412\n6296 10753\n3720 13028\n5735 12159\n4085 13875\n1612 14255\n7721 15315\n6527 7657\n6693 14301\n1320 7000\n7492 7587\n8495 11565\n3582 3993\n4299 14368\n3354 14122\n634 2852\n8741 9341\n282 6620\n4522 12734\n13089 15236\n10920 11730\n8458 8496\n39 10380\n3114 7462\n6524 7046\n11993 15535\n9677 10490\n1240 11855\n5092 14232\n2420 3137\n5603 12599\n121 5947\n2182 6139\n5041 15106\n8679 10422\n5582 9105\n4564 14460\n1579 7754\n12091 13328\n2913 11009\n13165 14891\n12071 13490\n927 1555\n8996 13123\n4783 9686\n9127 11900\n703 7131\n13803 14025\n671 14268\n3755 8042\n8972 14251\n3017 3919\n245 5548\n6134 11565\n264 539\n4302 14355\n3494 13394\n7327 15459\n5607 8381\n1331 13412\n558 11420\n5666 11084\n12008 13912\n4235 13889\n4822 7722\n7632 13817\n7267 8460\n3048 7689\n1300 13057\n2399 9053\n8298 8463\n12037 12057\n9880 12735\n6010 9421\n8276 9345\n6519 13485\n6905 10977\n6243 15402\n5069 11004\n1003 14948\n1407 13096\n2675 6927\n3612 8945\n11834 13366\n3002 12870\n21 2155\n2529 6571\n6070 10381\n10809 13407\n11273 14486\n943 3787\n30 13267\n12221 12633\n8716 10741\n4482 10115\n8957 14350\n5165 13574\n6191 6260\n7815 8036\n6968 7132\n1914 6137\n15136 15368\n4482 13239\n3264 15094\n2612 12942\n1957 3634\n5876 9473\n2941 7778\n7327 12968\n3413 10582\n2350 14200\n580 8717\n1713 11995\n2381 6843\n9275 14617\n2930 10446\n12044 14174\n2953 13019\n15147 15429\n1287 8624\n2570 11068\n2981 13219\n7678 15425\n1212 10451\n6559 9079\n8888 13371\n3464 8348\n6698 15346\n6627 11092\n10 12576\n925 6457\n2698 10533\n3845 8468\n7264 12952\n443 1581\n8665 10133\n2157 5717\n3185 11097\n6119 12547\n4963 13186\n431 14895\n1972 5359\n5139 7205\n8531 13993\n2339 9597\n3133 6004\n2749 7740\n3514 5873\n79 9736\n9198 13156\n3387 11786\n1694 2920\n6614 15619\n4367 5989\n3277 9617\n11369 12155\n12185 14557\n8797 12984\n4118 12815\n4319 4579\n412 6476\n8598 15617\n1443 14513\n6607 8150\n598 13969\n797 13999\n10136 10294\n7637 14670\n8690 12711\n5570 13599\n1037 14173\n3280 5442\n4526 7239\n4615 4811\n14357 15102\n3160 8462\n4375 9431\n2253 15225\n7942 15042\n6665 8815\n8948 14647\n7276 12927\n390 785\n1945 9892\n10017 12948\n7364 11581\n4781 12307\n7560 11828\n3788 11158\n338 11977\n2170 9311\n1068 3193\n4516 7555\n5270 7879\n5193 5240\n652 10345\n1675 2675\n3860 10311\n9871 10387\n2364 6240\n8628 9230\n3252 4344\n30 996\n7419 8845\n8670 10409\n5136 5450\n927 5405\n5362 5732\n1047 14348\n5386 12897\n3281 12750\n6663 12515\n6795 14124\n3547 5800\n253 6901\n10149 14931\n3492 6285\n1204 9531\n5748 13841\n8385 12100\n4997 15306\n6894 14183\n10690 14311\n6918 13116\n4746 5656\n541 5487\n11177 13592\n13695 14251\n6770 14031\n14171 15058\n6376 10382\n3256 14282\n1899 7149\n11276 12292\n8561 10397\n3100 8540\n11409 13658\n5178 8246\n1936 8976\n4301 6675\n11751 12345\n6740 11685\n6498 10964\n3349 5734\n8110 11822\n6828 9823\n863 14451\n3773 14916\n9243 12306\n2034 2647\n4220 8113\n13319 14540\n1163 10087\n4940 6949\n3574 4409\n2291 12516\n3430 3569\n13102 14030\n5835 12802\n59 9662\n9399 11382\n310 14369\n6588 10204\n10826 10870\n692 12507\n7974 8861\n5802 8938\n416 1233\n5745 15130\n9803 13463\n2696 11543\n5427 13229\n8325 12315\n5803 12771\n1460 3800\n1372 7670\n2791 6725\n970 5000\n7105 7439\n523 3478\n2432 4080\n4751 12613\n6823 11964\n4352 11273\n11839 14195\n12463 12915\n8206 15639\n13695 14135\n5347 13120\n1490 1719\n12474 15216\n6977 11509\n3958 13032\n6502 11686\n6097 9176\n3782 4047\n2039 5989\n5961 8706\n9835 10593\n5566 8062\n21 5788\n164 3599\n3979 11437\n677 15434\n2130 4221\n12371 13875\n2785 14835\n2283 6472\n8422 11812\n8687 12561\n2949 14658\n1396 7832\n1280 12721\n2654 3392\n1001 7410\n7611 10677\n9026 11837\n3261 6167\n12163 15595\n13006 15096\n6377 14763\n299 10943\n126 3928\n4334 12871\n2998 3714\n383 4342\n855 4069\n4263 14775\n3234 8162\n13677 14714\n2629 13807\n6381 8811\n5634 7775\n11640 13976\n11778 15169\n12648 13799\n9254 13036\n2137 3940\n6288 12454\n2943 13919\n11193 14360\n2692 5556\n12483 14553\n2665 14702\n1585 13347\n6415 7036\n2710 14894\n11233 14573\n2535 5595\n7027 7119\n11495 15404\n2606 4393\n6730 11274\n1147 1590\n92 13662\n2622 5779\n9140 9541\n12718 14499\n3874 4489\n1964 12465\n1546 8132\n1466 2443\n8869 13704\n11308 11894\n6751 14019\n3718 9703\n11865 13291\n5012 12734\n12798 13673\n7478 14187\n4905 10174\n2041 13297\n6302 7978\n153 12156\n373 4248\n4383 8077\n3227 8070\n3815 7624\n9541 12593\n6038 12743\n11725 13703\n5068 12215\n11902 13450\n5514 8566\n7221 8120\n1664 8409\n5217 12942\n7234 7319\n3567 6902\n7053 15630\n550 10926\n11618 14492\n808 12157\n8811 13248\n6794 11022\n1093 5698\n12391 14742\n3138 11616\n3688 7694\n5250 7758\n5357 6979\n1758 7586\n1479 11887\n11691 13970\n577 8951\n3204 11321\n2967 6063\n4163 12589\n8576 14807\n12270 12661\n3488 11641\n7664 13517\n1149 11154\n7543 7942\n3742 13094\n1383 3289\n2181 2615\n4591 15399\n3993 13640\n1790 11076\n8363 11590\n7463 12830\n4865 8666\n7270 11753\n6753 9844\n8900 9083\n13171 13582\n12832 14091\n9591 12107\n5116 9409\n10140 10450\n4356 11870\n4170 7147\n4900 12745\n8110 10022\n11818 14108\n10974 13074\n326 925\n1561 13578\n1237 14413\n14473 15531\n9809 13540\n5890 8232\n2530 3530\n5156 5686\n3601 7129\n6017 12207\n993 13192\n6850 11322\n1257 3886\n5771 12917\n3750 15451\n10418 14579\n9875 14379\n1042 8030\n4312 12707\n4098 7123\n9085 9590\n623 11497\n4167 12648\n1957 14450\n121 13932\n4728 9236\n4566 4841\n610 1103\n8767 13331\n2025 14872\n8157 15188\n6054 13555\n175 2212\n1007 1175\n9049 9209\n7918 13982\n1216 11008\n5098 12112\n4806 13481\n7725 12935\n5076 11776\n523 1827\n6007 9686\n267 4225\n5985 12336\n12253 15010\n5031 10565\n8611 10330\n2030 13040\n5523 10488\n1053 12123\n8592 13112\n9388 15381\n3106 9482\n7288 15022\n1112 3305\n4652 12088\n9156 13245\n3350 10247\n6275 6707\n9161 10821\n1435 11634\n2052 9360\n11953 12638\n5882 7055\n11195 12177\n612 12412\n775 4875\n3196 3374\n155 9538\n3267 10382\n4228 10614\n1147 14596\n8855 14080\n8108 8118\n951 1486\n9371 12159\n677 2119\n4151 10433\n6497 10406\n15276 15518\n285 1492\n146 10363\n1298 11088\n2217 7646\n1144 1791\n8800 9246\n3292 9358\n2977 8912\n382 15019\n5119 9050\n2846 11122\n1044 14952\n7721 8079\n10387 13065\n7219 10350\n4129 12984\n1421 11735\n5366 7794\n3647 5044\n243 385\n114 1444\n4406 5599\n4299 12955\n10699 12988\n1003 4303\n146 1741\n476 5525\n13008 14020\n6509 15218\n10713 14927\n1611 12752\n8499 10656\n9012 10478\n6212 10972\n12824 13734\n7080 14057\n2029 3780\n12701 13635\n12711 14104\n1075 11461\n241 7477\n5908 9853\n5967 11578\n13511 14949\n1947 9717\n5948 10921\n214 6287\n5783 15020\n3069 10294\n7522 10354\n2839 13949\n3238 9546\n5315 8165\n3651 3690\n7562 8285\n721 10795\n7831 11829\n11642 14321\n8150 14818\n10599 10604\n10891 14325\n8165 10629\n5886 8676\n11424 13669\n11129 11835\n1581 4517\n9218 12550\n4283 7016\n6418 11045\n9880 15308\n1758 7208\n1591 2399\n789 3623\n8765 13248\n4723 13385\n4518 12369\n4302 8597\n6979 14025\n6407 8603\n4878 7899\n8976 12987\n876 11329\n2173 2959\n5135 8684\n5671 10802\n11044 12923\n8300 10559\n5857 12470\n8791 12324\n3245 14495\n4762 11386\n3791 4579\n5782 15390\n10840 14026\n13945 15094\n5892 11869\n4157 13068\n7732 12546\n7153 10907\n14596 14736\n8748 13964\n6440 12901\n2408 7547\n1995 6317\n8390 9093\n941 9514\n615 9112\n1701 12416\n12484 14894\n7072 11742\n6711 13211\n6105 10782\n4104 15525\n6786 9080\n8234 13049\n11250 11700\n787 2440\n11545 11713\n8502 10752\n5668 6239\n4513 12222\n2791 3998\n673 13826\n7715 10181\n1795 13181\n4492 12450\n7717 8976\n3188 7357\n1542 11862\n2187 12004\n5885 10603\n5846 7305\n3220 7392\n14380 14557\n3421 12802\n1646 13946\n9753 14739\n1179 10430\n2909 6035\n1698 2237\n697 1922\n47 10391\n2309 15248\n4017 9219\n5043 7121\n391 5495\n11182 13314\n8606 14265\n1899 2199\n9148 15457\n6170 14852\n11954 15184\n419 14068\n4360 7440\n4727 7320\n3113 15466\n2681 12849\n5355 14731\n4735 9079\n12129 14247\n12184 13578\n5266 6437\n7709 10962\n4037 13097\n275 973\n6421 13126\n8893 12075\n4207 5252\n7331 11145\n10101 13215\n880 1632\n5225 5903\n5169 12630\n32 2338\n305 6486\n6055 11968\n882 6807\n3329 4286\n10806 12584\n9054 9653\n13477 14098\n7477 11693\n11772 13238\n3660 15594\n5722 7262\n3937 5317\n5173 9040\n3939 13771\n842 1211\n2495 5105\n584 8190\n6156 9704\n6158 7883\n2534 9015\n14155 15112\n5534 14871\n8500 12841\n5877 6911\n9384 9626\n8814 10486\n4272 4489\n4035 10107\n12221 13090\n6210 10403\n14701 14707\n6053 8410\n8605 11478\n9642 13721\n908 1417\n9724 15566\n3068 8869\n3082 13760\n1409 6230\n497 12756\n1277 6907\n6577 10446\n2492 6067\n10283 13714\n957 8133\n9945 9994\n3946 12936\n7101 10080\n2070 15330\n2271 4377\n5107 7314\n10075 13964\n8781 9529\n28 1649\n11185 14487\n7710 12472\n451 2843\n6054 14042\n1013 11865\n9207 14795\n9486 14358\n974 2878\n14286 15426\n5129 11115\n935 13630\n6285 13444\n1063 5026\n6658 12875\n3545 12630\n204 559\n4063 6096\n1026 4611\n6721 7586\n929 10561\n4287 9184\n7614 15195\n245 10362\n8273 15518\n8436 13664\n618 9059\n8763 10114\n817 6600\n5030 6941\n2888 12131\n11916 14803\n2587 10272\n3553 4208\n8329 9995\n1130 10377\n4804 8189\n6697 10163\n121 1085\n2477 11699\n3318 10246\n3748 10727\n5398 14006\n2808 13114\n4907 12404\n3119 8967\n470 14400\n4280 12445\n6784 12730\n4858 12452\n12354 15292\n3767 10048\n4313 5682\n9120 13602\n10825 10968\n6650 15129\n12648 13773\n4952 12591\n9180 14039\n6542 9243\n9683 11634\n9465 10690\n1852 5219\n4240 11506\n5913 14875\n14023 15259\n7984 8082\n1710 7040\n4773 13269\n8321 11018\n4112 8546\n4699 11946\n2175 8169\n4529 6192\n4099 6874\n1729 11651\n3849 13128\n12591 14099\n5992 15207\n3565 10242\n1611 4963\n1402 2151\n10619 11437\n2589 14015\n6468 11574\n7737 11295\n588 5076\n4802 12545\n6141 15448\n4104 5254\n2635 4172\n7552 9936\n219 9445\n3172 12160\n239 11935\n2129 10298\n3536 14795\n5082 9501\n6230 6462\n785 5925\n1676 4097\n1160 7508\n8202 14066\n758 11581\n7233 13661\n8981 10646\n9087 12922\n1575 7132\n11751 12174\n13122 13377\n12385 14441\n2244 14330\n4806 12230\n10267 10346\n9132 14831\n88 4513\n1100 14741\n616 15570\n306 2718\n3674 8062\n2601 9756\n2737 13697\n7462 12431\n1557 7879\n9522 12119\n3819 14011\n487 8256\n5961 6032\n5144 6623\n3967 12313\n690 7513\n6003 11669\n10268 10956\n4604 9049\n7298 13869\n4472 12952\n7187 8460\n7257 13022\n3796 4337\n5438 8602\n11138 12210\n974 1963\n5192 13404\n1000 13466\n680 11708\n11122 13202\n5261 6685\n6470 9453\n1802 15044\n9865 13374\n1616 15298\n5889 9387\n9539 14147\n9736 13332\n7027 9469\n921 14527\n2159 12097\n8437 10853\n989 6761\n3465 4487\n805 13086\n10996 14107\n3206 14942\n366 9707\n12618 14704\n2981 12559\n5680 7885\n4474 5170\n3582 14264\n131 14069\n1100 10345\n3901 12249\n775 10925\n7648 13679\n3794 13602\n1031 2323\n4456 7011\n2692 7726\n1615 15284\n9026 9567\n4214 15071\n9469 10847\n8650 10269\n2717 12048\n1550 8914\n7019 9249\n2091 4204\n8904 13869\n10144 14220\n7716 8132\n1126 9340\n3131 5028\n8048 13859\n13711 14228\n2619 6232\n2594 14812\n8618 8962\n2159 5787\n9745 10041\n8994 9494\n13102 14044\n3709 5700\n5305 6124\n490 13313\n539 6893\n9386 15308\n8290 14103\n3295 13581\n5937 14480\n688 8106\n3647 15456\n155 10052\n5896 15660\n3618 12715\n3715 11728\n225 14313\n2427 14594\n3021 13997\n1835 3184\n1089 13237\n6474 11540\n1642 10022\n10516 10935\n8939 12946\n281 13662\n2738 2984\n47 2470\n7080 11943\n7023 8429\n10485 13485\n10318 14142\n4044 15421\n5402 14217\n9719 13289\n311 523\n8128 15052\n3361 5391\n3477 13553\n4694 5560\n4563 9754\n10062 11349\n651 14312\n3847 9569\n5278 14183\n11807 14541\n5008 9003\n8623 8952\n7667 12517\n867 9401\n3519 10740\n2457 8478\n7771 13720\n5999 7933\n6745 14266\n709 1904\n6942 8431\n5888 11702\n373 10545\n267 2087\n3477 6246\n8868 10243\n9663 12795\n66 15633\n4631 13039\n1242 14639\n1552 5522\n773 15128\n2325 7013\n1897 13373\n9094 11695\n2188 5603\n5287 14190\n5214 13843\n4882 5531\n10082 13184\n2462 12418\n69 5530\n13499 14081\n2378 6548\n7431 8269\n10321 14875\n13941 15016\n3208 3228\n5609 13297\n298 15583\n2902 10031\n10956 11527\n1678 13132\n12909 13144\n3390 11894\n2573 10241\n2314 10141\n2356 6251\n5104 8156\n1738 5311\n4719 9957\n7 14132\n7083 7453\n9204 13167\n1164 12224\n6217 13481\n2522 4432\n7263 11140\n3066 5029\n887 6695\n453 12455\n5264 13949\n4224 15181\n9268 10114\n5566 10035\n939 3834\n7316 9575\n1473 9219\n12139 12685\n7314 10712\n788 11606\n3076 7884\n458 12405\n2890 11926\n2363 6442\n1960 15042\n1191 12421\n1250 7174\n4123 11400\n2724 8648\n3707 11919\n6975 8537\n10710 14803\n3742 15252\n7510 14670\n1974 5325\n1070 8716\n7172 12196\n8219 11403\n349 4415\n13156 14398\n5774 14459\n5003 11241\n1713 5557\n6110 9272\n5157 15068\n5907 6101\n1571 8969\n564 14366\n3108 3643\n9964 10854\n2689 11446\n2113 9770\n10518 13479\n821 1604\n10396 13343\n7497 15227\n4735 6230\n170 15291\n716 12818\n3350 9261\n6750 13167\n2439 8118\n6689 7767\n540 9512\n1785 14630\n2280 2744\n2231 7466\n2382 12265\n8770 9432\n7810 10373\n5650 13131\n437 12082\n844 7673\n3951 7859\n4929 10702\n7348 12085\n2102 8606\n1946 3480\n6182 12421\n4805 4958\n3522 10780\n2263 10169\n10440 12560\n6667 7669\n3101 8572\n8643 14474\n5179 7163\n9821 15091\n6966 13070\n6318 14368\n6932 13906\n7470 9582\n332 8968\n4474 15234\n5253 14786\n8717 14903\n11433 13988\n2919 15273\n11937 12933\n11982 14835\n1634 4229\n294 1096\n8813 13361\n3967 5060\n239 2457\n11626 14309\n740 9477\n814 5531\n3343 13086\n801 11459\n7718 11577\n9490 10332\n4993 15487\n9272 13608\n6718 9165\n7765 14012\n4362 5361\n4862 9637\n2050 10117\n15154 15519\n2901 10939\n8409 12366\n13122 15533\n12079 14676\n13959 14935\n14979 15529\n10439 13993\n7675 11430\n9263 11958\n8818 10205\n8396 13973\n6245 13779\n4335 4424\n5889 7134\n2625 9406\n4983 6754\n4336 9351\n754 9812\n9192 14431\n7430 13897\n79 11661\n930 13576\n3491 9166\n4820 12891\n7834 7954\n6382 10059\n5156 10518\n3076 3809\n189 1769\n9163 15280\n4872 11972\n610 12581\n4574 8431\n5084 14137\n2595 8536\n9920 14284\n2952 14552\n9654 14743\n1677 12256\n2949 10780\n9179 9615\n5083 13320\n4132 4622\n3493 11936\n9989 14362\n14527 14830\n1314 5194\n6553 11533\n6208 9694\n9101 11749\n65 14907\n860 12819\n7709 8686\n9189 14566\n9416 13767\n1362 14873\n2588 3806\n10815 13850\n5288 10889\n3202 9954\n1383 6221\n3937 10591\n13199 14809\n754 6591\n1131 4151\n4874 11557\n9810 14457\n7280 9399\n3604 14446\n5576 6243\n10432 11993\n1343 10819\n8376 9183\n175 2005\n6338 7574\n5755 12897\n464 1337\n4399 12395\n5553 12318\n2746 9238\n602 15614\n7955 12442\n6367 13909\n3571 3672\n1798 7278\n3406 10183\n1700 3141\n1400 9517\n8324 10607\n3985 9011\n506 11902\n210 5179\n3714 14807\n13685 15385\n11215 12557\n12457 13004\n1975 10421\n6743 15352\n12105 14940\n371 5176\n2676 15440\n5067 11254\n11498 15239\n6860 9185\n11946 12690\n11872 15579\n1921 12446\n8378 10137\n10364 10756\n2664 5634\n6372 15251\n501 2543\n14 7299\n129 2085\n5637 10228\n8122 8886\n4411 15002\n4261 7058\n8425 10638\n7115 8107\n1348 12084\n5925 9725\n5203 7477\n3494 4087\n10320 11027\n10304 11667\n7064 14902\n8694 14557\n2878 13238\n4278 6592\n4052 9644\n163 15637\n1537 8350\n5207 7358\n8104 13402\n217 13767\n5706 14103\n6972 12395\n4032 7388\n2910 4581\n317 9960\n13283 13925\n8886 15129\n5843 11547\n2360 10892\n14302 14397\n1297 7249\n154 9893\n1925 6563\n3716 11331\n3558 13309\n794 7225\n2043 14387\n4690 10730\n459 5027\n929 3088\n11371 13199\n1807 7386\n1026 14977\n5779 13047\n1797 14476\n2376 5044\n10162 10423\n6595 10229\n13147 14959\n4519 6916\n8374 12234\n5401 8773\n8335 10807\n5878 12728\n331 1810\n6349 7478\n1921 8814\n207 7119\n7872 11194\n651 2474\n268 13711\n3648 14909\n489 3150\n1131 14885\n3465 11348\n1102 4066\n14643 14870\n4956 11002\n5869 15128\n887 3009\n2118 8225\n1977 14766\n6290 13396\n13091 13778\n9057 11376\n5019 8347\n5664 13946\n5794 8119\n6119 11618\n6687 8916\n755 8440\n3353 14296\n5611 15451\n4842 15256\n4640 7322\n4872 8763\n9603 10271\n7153 12985\n8066 14103\n3326 6357\n4082 10370\n3897 4550\n4646 11372\n9329 11754\n1170 3176\n8684 12812\n4455 10865\n2848 15137\n7213 14119\n7297 12373\n9746 10138\n2326 5993\n4885 7898\n3934 14637\n11060 11828\n6671 14967\n1189 13951\n4948 7244\n1624 8760\n4539 5878\n5473 8919\n7128 10291\n6381 8517\n1750 2451\n9930 13417\n6291 7037\n3485 4325\n5133 15447\n3020 4850\n1747 8409\n11827 14629\n1322 10225\n3065 15378\n4817 9597\n3289 6087\n7760 13066\n1876 8661\n30 6366\n9730 13098\n4389 6907\n8973 11133\n10891 14468\n197 7691\n558 1024\n625 6740\n2307 5917\n2368 10560\n4084 13340\n8441 14055\n7079 7083\n1231 12152\n2764 4131\n4629 10649\n1830 5826\n4748 5945\n11276 12558\n403 8385\n7202 11304\n8566 12618\n4326 6643\n9052 9207\n3713 8053\n9126 13920\n2583 14706\n1162 5218\n3811 8334\n8939 13288\n346 3051\n2729 6283\n501 13190\n336 15638\n6611 11903\n4420 15538\n1280 10876\n7026 11353\n4840 10515\n9406 9858\n6054 8877\n12119 13841\n12618 15093\n607 15272\n2251 9422\n10791 13704\n6802 15006\n3295 13437\n3017 4627\n1801 15104\n1824 14427\n9815 10248\n414 10310\n11007 13771\n8221 9229\n5713 13361\n6401 14322\n2593 11863\n8544 10932\n7914 10058\n7133 11858\n2230 11313\n6580 14003\n4940 6154\n5787 12483\n756 6121\n7837 13468\n542 8414\n9013 11461\n6702 6989\n2950 8392\n3165 13084\n1546 15246\n6769 14299\n6792 11645\n4228 10552\n1844 9484\n9118 9953\n1234 14207\n7732 9563\n3840 13733\n9279 15178\n12822 12858\n12124 14202\n5182 8837\n7479 7940\n3915 5357\n1385 14621\n6423 7075\n2831 10776\n7744 11601\n7122 8302\n5726 8514\n1388 9119\n9068 14165\n3637 14539\n1920 10372\n531 9361\n6271 12929\n8748 11659\n1765 8362\n8050 15578\n6576 14211\n4491 7452\n6626 7450\n2043 8306\n3987 15588\n546 3445\n6880 14358\n6408 12140\n7079 14733\n4173 12256\n4865 12982\n185 10255\n11371 12772\n8553 8791\n10730 15404\n10181 14906\n3377 5978\n8411 9960\n4086 15096\n4587 4945\n512 13105\n4286 14700\n7592 11099\n9096 11623\n7690 9230\n1439 11983\n4369 9731\n3103 12650\n5948 14522\n10490 14548\n2789 14576\n1150 1704\n5930 6839\n414 6972\n10346 11815\n2753 6426\n6316 10025\n10300 14836\n107 2729\n5802 7292\n5154 15037\n10582 10712\n6762 13412\n12687 14678\n1565 14121\n1561 6403\n2044 6863\n8434 13195\n1739 14171\n12130 13622\n4175 6793\n5952 8331\n2628 12058\n571 5178\n3150 12057\n6624 6735\n14310 14726\n620 12417\n743 5854\n1053 2382\n131 6130\n11624 14082\n5232 8462\n970 15154\n1660 4027\n2243 14380\n9923 10076\n5487 14342\n5148 14989\n1498 5081\n7688 7852\n10467 15162\n14295 14938\n8242 14670\n4099 12863\n726 1101\n5425 6542\n5835 8623\n4931 13075\n6208 11036\n15034 15071\n810 13217\n4591 15393\n8534 9333\n131 9630\n1151 8892\n13063 14309\n6384 8420\n4518 13976\n5892 12013\n756 12808\n3019 13052\n4498 12953\n7812 14215\n15578 15600\n6261 7141\n5801 8374\n3576 9536\n8185 8604\n7516 13213\n1221 8978\n5251 6278\n12781 14786\n6095 13983\n6398 10914\n10516 10984\n2721 2837\n8395 10524\n8188 15304\n1147 3310\n11585 14295\n10676 11712\n367 3217\n800 13803\n10359 10821\n4013 8201\n379 14096\n2191 14050\n1908 6986\n2438 12081\n2881 12236\n13265 15168\n2369 7923\n1886 9403\n1471 13075\n4077 9630\n7253 13379\n431 2399\n5136 10318\n7416 10077\n3339 8778\n8996 11907\n1112 8652\n2476 12512\n7223 9161\n7378 13699\n11720 14448\n1888 9053\n611 6496\n12385 14070\n7617 11063\n126 3704\n9422 11801\n2679 5885\n11324 13389\n10117 11495\n7523 9716\n5429 8123\n4933 12413\n3789 12862\n9506 11845\n11715 11744\n2849 14520\n4315 7842\n9968 12717\n1959 13900\n118 6569\n1794 10098\n1284 6708\n4043 5579\n5522 11483\n5306 10457\n2097 4199\n7276 10041\n7692 12367\n5286 12958\n2196 11238\n1846 14829\n1782 9519\n10509 14398\n9860 13688\n2607 9079\n5336 8214\n10181 10972\n1662 12605\n1461 7425\n2574 13138\n6711 12988\n455 1363\n2309 6638\n3982 11463\n130 7400\n6919 11628\n11361 12701\n1272 13877\n1805 11080\n802 13626\n947 3016\n6897 13683\n5334 11417\n10562 13022\n4255 4677\n4128 14916\n4051 5557\n9648 10466\n264 12636\n778 14132\n3402 14551\n5271 7356\n5429 14218\n11495 12086\n1004 9445\n10367 12391\n8739 11232\n1614 6543\n6054 9173\n3356 9527\n40 7835\n11761 12767\n3356 6912\n9622 10800\n2095 6372\n5506 11283\n109 11480\n5456 12782\n2090 15154\n3468 10946\n11148 11446\n13414 14536\n5342 10197\n2559 11606\n4013 7210\n10319 10692\n5456 15383\n5950 13713\n2225 8011\n1616 8261\n1527 7331\n1986 12432\n747 10677\n39 8916\n6266 14822\n325 12608\n1572 4486\n2257 12682\n7841 10064\n13309 15619\n193 8045\n3524 8308\n657 2805\n3799 11644\n3118 7349\n5414 13471\n2656 5400\n7180 10736\n5621 9172\n699 14341\n2082 2782\n1293 6614\n52 9973\n5560 10539\n921 10513\n5053 10184\n11604 14311\n8418 14659\n8848 13980\n6678 11065\n2081 11538\n9578 11180\n440 7302\n9768 14455\n5922 7162\n4682 13101\n4074 12047\n1135 14917\n1254 14526\n1350 11859\n10612 12887\n2960 9920\n4433 12822\n6002 6495\n1484 11969\n7492 13779\n1911 6461\n13862 14153\n587 4676\n2047 13541\n10568 10948\n7429 7706\n4896 8422\n1815 13159\n867 2326\n4128 11941\n2469 8248\n2462 5473\n10858 15096\n5754 13928\n1728 1784\n13805 13898\n2215 14132\n3053 6294\n10331 14653\n5387 10710\n1804 6741\n4335 13696\n2153 2371\n4350 15648\n8261 9982\n6682 15203\n1425 2350\n2884 3129\n3113 8467\n724 3217\n1380 10972\n5662 9881\n3115 14163\n1375 13424\n845 3510\n8724 15452\n3638 8619\n3701 9702\n2882 8907\n9723 15384\n3487 14503\n92 11503\n1164 9587\n8324 14869\n13447 13980\n218 9108\n3783 12400\n6600 10321\n3412 13394\n8755 9543\n3398 13788\n8163 11555\n9356 12084\n4324 7171\n4646 15280\n2207 12806\n1105 12468\n645 6911\n3837 4659\n4548 7205\n3318 4862\n2237 4395\n4904 14860\n7101 8825\n12597 15521\n2940 11266\n2050 9174\n3450 13882\n9228 14020\n5692 6283\n6057 6128\n11421 13814\n2002 13370\n3923 6491\n3745 11260\n4982 9308\n567 11889\n3225 3401\n9959 10551\n5707 15458\n10603 12531\n11041 14302\n3653 10236\n8994 13529\n11174 12895\n5977 8901\n8420 10602\n2102 11284\n6790 15638\n7210 10612\n12794 14539\n3730 12081\n3876 14119\n9647 11183\n10289 12785\n3470 4646\n3105 4227\n9114 10148\n4429 9508\n7408 14545\n2870 6946\n1310 4444\n1555 6589\n11664 12926\n9927 12404\n1002 6692\n805 3903\n4706 11866\n1755 10089\n6480 12531\n4366 14555\n1242 11573\n4530 11064\n3037 12701\n9143 9673\n2090 2607\n6288 12592\n7990 14003\n9829 13614\n7877 13831\n6837 12545\n5822 11580\n1083 11645\n12911 13888\n162 11389\n2265 3737\n12870 15524\n12853 14145\n2634 9021\n12796 15415\n5358 11799\n197 7461\n5430 15366\n8304 9779\n8416 11471\n243 11946\n3054 5722\n10922 11246\n6549 14719\n4282 9240\n3724 6722\n10138 10878\n8682 14057\n11770 13685\n1329 10845\n2496 8748\n2872 15440\n8561 15300\n3699 9973\n4296 15230\n2755 9584\n4336 8607\n218 9204\n4046 9145\n7682 11336\n1592 2023\n937 10780\n4024 8074\n8850 11635\n5878 8134\n9742 12829\n10425 15035\n10704 11368\n83 6793\n6766 10411\n14020 15318\n13338 15377\n3856 12241\n3002 11822\n12365 15435\n7165 7840\n8855 9991\n4975 6641\n6177 12315\n2977 7275\n3273 7328\n9242 14259\n14175 14419\n5371 12032\n763 10216\n4917 5089\n10694 12348\n2514 10773\n1122 11088\n2836 10553\n9818 15641\n363 9309\n5425 14963\n2479 4591\n9064 13081\n6884 9393\n2120 11515\n6243 12573\n6284 12307\n3438 8279\n12846 12944\n2260 11840\n9897 11932\n37 10405\n1476 11819\n10331 12134\n1502 4546\n4498 5256\n268 5402\n10728 14498\n6161 15329\n4255 5023\n1843 10809\n5494 8066\n2197 10282\n5720 10469\n10190 13923\n1995 2696\n3371 6477\n6547 13670\n6499 7922\n13493 14453\n6851 13516\n14932 15362\n4724 6877\n3876 14448\n1594 14491\n880 11427\n8547 10682\n5739 8384\n2854 6615\n5482 6143\n6028 12142\n1933 14575\n9789 12427\n4657 9121\n356 3579\n7230 12726\n8537 8855\n965 15042\n629 6238\n1646 2276\n5282 5689\n6151 6967\n6978 9421\n1970 5229\n2010 6654\n5802 13856\n5287 13335\n3375 9015\n10175 13444\n8963 14525\n6005 14897\n3079 11474\n1162 3660\n9048 15533\n2948 11455\n715 14720\n1700 11368\n4198 11368\n5069 14533\n4490 15273\n47 14977\n1025 14267\n7586 14048\n8900 12480\n5333 9531\n2033 11947\n9557 13668\n1492 3175\n3659 7494\n7623 8815\n11396 13940\n11836 14166\n898 7465\n3754 11433\n4325 6424\n8533 14826\n13357 14947\n1697 11551\n1902 13242\n2185 13300\n9014 13485\n11948 14148\n2529 14397\n11746 12261\n3325 7341\n8698 9317\n2536 2972\n1236 4402\n2315 13585\n5217 10392\n9283 13611\n57 6267\n7361 15200\n1180 14508\n9121 9460\n12936 13594\n5228 10337\n7923 15408\n2626 14324\n8303 12088\n254 1826\n7057 11415\n1886 4213\n7611 11079\n9942 12158\n7267 9679\n2587 10216\n381 5334\n4492 13060\n6598 8367\n4291 13693\n3999 6399\n7232 8127\n1438 11067\n5386 14244\n1187 3300\n4043 7394\n6573 11756\n6560 9637\n1689 6304\n286 12089\n9386 13209\n833 11747\n7129 11903\n1971 5835\n1818 7270\n1839 15410\n4597 12171\n3796 4670\n3752 10515\n4256 14650\n10153 12341\n1985 4241\n4333 6585\n7813 11239\n2613 13296\n218 4559\n2144 2722\n7664 13779\n4831 12618\n2891 3074\n1962 11032\n8760 13491\n546 14933\n4825 9901\n12477 14425\n2973 3722\n1197 1478\n12437 13708\n1697 11030\n6770 11178\n3067 10061\n3855 11880\n3538 15285\n5617 9867\n1570 2991\n4792 13431\n10151 11961\n3252 9271\n3286 15516\n2969 9393\n2264 12542\n618 12195\n7778 11198\n8206 14154\n6282 12503\n4460 14055\n2401 14300\n4597 11357\n7166 14491\n6416 8375\n7539 8974\n521 7905\n7129 15169\n4926 6676\n962 14113\n10622 11895\n483 10510\n177 11968\n3207 10257\n581 3130\n2112 4588\n4934 12814\n1203 1339\n524 10125\n868 13722\n9988 11437\n679 6240\n7448 7558\n7975 12542\n3451 10713\n4961 11712\n5300 10834\n673 9039\n5133 14880\n11001 13377\n5080 13699\n3490 6791\n11493 12133\n10510 14931\n5932 15310\n7805 11236\n4553 15390\n5811 7800\n6990 8263\n4439 4671\n1169 9924\n3441 11982\n853 4573\n5309 9507\n10268 15120\n507 15324\n1595 12611\n428 15465\n4899 5231\n10191 10818\n950 12208\n1039 2953\n2907 8398\n3460 3782\n5558 13288\n4552 13762\n10217 14410\n289 5107\n6170 14142\n4307 7117\n6101 11926\n4009 7383\n1639 4370\n4457 11683\n3555 9955\n3968 12171\n9264 11968\n9112 13061\n3486 11700\n7077 9150\n371 1209\n2666 3308\n8577 12267\n293 11928\n3121 3270\n2106 5334\n243 13569\n802 12162\n562 6259\n6300 12258\n9243 14064\n1706 14405\n9645 12254\n2334 6893\n303 13690\n6998 13117\n704 11613\n577 15644\n3286 8170\n4248 10617\n1201 12542\n6489 14826\n12499 15492\n2428 10970\n8832 10373\n1360 12761\n13578 14204\n3071 3607\n7244 9446\n3367 6245\n48 4957\n10260 14930\n5000 8632\n3974 11089\n2325 5056\n3330 3531\n6302 10088\n1432 1867\n3967 4353\n7000 9973\n423 6008\n483 14271\n5415 5880\n12910 13262\n13306 13436\n8823 15133\n8811 13937\n2780 9043\n7769 10955\n5001 5585\n3491 6175\n2810 10617\n1410 1809\n13398 14852\n7032 9064\n2129 7489\n4635 9125\n1842 12686\n2354 2472\n11285 14077\n4352 11709\n5638 11614\n416 4501\n12277 13963\n8306 11422\n11140 13504\n9514 14335\n3810 14368\n3169 12381\n6208 12407\n3525 10559\n2837 12199\n2753 15429\n10220 14429\n1926 2350\n626 7214\n4090 13235\n3525 9861\n250 5893\n3645 15415\n552 10874\n8221 10278\n8833 13125\n1119 1901\n5653 8776\n3135 7276\n980 5033\n1299 3073\n2008 4286\n11558 12271\n659 5009\n239 378\n5260 13793\n1344 14918\n3884 11387\n10193 15220\n1535 14694\n7309 8438\n3185 11447\n4939 8405\n11727 13653\n10090 12361\n3152 12264\n10605 11153\n4158 12755\n1912 14018\n10525 15238\n4480 13139\n881 2241\n180 3325\n13386 13532\n8017 13724\n4527 15125\n989 5011\n4109 14104\n10127 12940\n11969 15015\n7173 10395\n1069 4530\n1247 12667\n4120 15004\n13679 14062\n10972 13917\n7540 12551\n3947 13334\n6327 14717\n250 1576\n3523 5372\n5865 11668\n3011 5115\n7929 11963\n6052 10044\n2464 3959\n95 11610\n6381 7237\n9 4878\n6182 7784\n7648 14955\n7645 9557\n6060 10735\n7326 15547\n7124 12810\n7822 10244\n735 8550\n8762 12919\n2668 4921\n6933 9200\n9315 12820\n3795 5253\n7885 8730\n8999 12527\n5312 9574\n2525 8462\n3714 9316\n7205 15007\n726 4462\n13382 15332\n492 11945\n11364 12070\n4761 9932\n2063 2392\n3550 14374\n4616 8092\n7205 11099\n10639 11202\n11288 12060\n2597 10732\n267 11342\n8567 15140\n6496 7613\n258 6553\n6623 15021\n6700 15404\n10729 11180\n1651 3022\n196 11376\n3341 15337\n3615 14469\n6648 11725\n1327 12128\n4584 5132\n809 5221\n521 12371\n13160 13172\n6106 13844\n9938 13367\n9881 14323\n1172 10876\n465 11418\n4690 11539\n3775 4498\n2684 10480\n8487 13357\n11538 15074\n10250 12625\n2391 4096\n1711 12370\n5540 12989\n477 11921\n1009 4931\n5190 13882\n1795 9273\n8368 12926\n7159 10943\n462 4518\n11537 12384\n9208 10023\n2420 10344\n6953 11857\n4329 13004\n8309 13918\n3711 4277\n3563 4403\n2593 7791\n5511 10765\n2337 5616\n11594 13122\n5776 9032\n4695 7735\n6398 14709\n6581 12697\n1880 6778\n6711 10028\n5447 13017\n45 14796\n3345 5127\n2858 11269\n1491 6616\n9629 10410\n255 1708\n4718 11517\n11851 14998\n800 8602\n4700 12546\n3704 12418\n1284 6714\n9004 12744\n4055 4072\n3846 4025\n2891 14227\n6286 7766\n1869 6235\n2516 4863\n1138 8152\n20 68\n8219 12216\n6461 12127\n5578 10565\n5604 9944\n1812 4177\n7958 11861\n3773 5502\n14386 15095\n1299 14239\n3018 4973\n710 10987\n3733 15642\n2163 9078\n180 12154\n3382 7114\n10065 13860\n1678 8828\n3906 8225\n3391 9725\n8015 8946\n2507 4398\n8227 12019\n2308 11485\n10421 11300\n3802 8941\n7914 13117\n166 8261\n4371 11900\n5133 11340\n3964 5612\n118 132\n138 4459\n13337 15033\n220 2687\n786 3074\n4739 6556\n2151 2932\n10344 12409\n5256 13074\n8239 10207\n6140 11799\n4411 13896\n4490 4562\n3021 4947\n3721 6525\n5561 11651\n8335 13642\n2992 10101\n10483 14260\n9796 13064\n7127 11725\n2671 10885\n408 11124\n9428 12911\n13233 13574\n4028 14799\n13515 14720\n2513 6048\n1403 12901\n2245 8353\n723 5560\n5649 10200\n6084 8201\n1814 14363\n2037 7649\n5922 10459\n9635 11040\n5387 9267\n4769 13705\n5363 10144\n11410 13656\n6693 15096\n8060 8961\n5481 8866\n4936 11955\n7416 9656\n7379 10343\n7926 15105\n6296 15222\n1414 3616\n5171 14112\n798 3971\n4394 13642\n608 10618\n1315 1388\n3609 10758\n10876 15297\n6518 12660\n6286 7152\n3778 6173\n9416 10939\n4050 14611\n9414 10011\n12179 12517\n5406 9707\n9090 11794\n3299 8302\n3433 12144\n8177 12214\n11787 12312\n6418 8361\n9563 14718\n3380 9311\n8625 14960\n6073 9003\n4651 5413\n2516 9624\n2939 13714\n2075 4763\n2463 14259\n5004 9340\n2216 5573\n12037 12578\n4666 6657\n7 832\n5174 14630\n1147 10132\n8946 14786\n10682 11937\n1373 10317\n7947 14958\n3371 5826\n7639 9028\n239 15436\n2209 5366\n2753 15208\n13102 15464\n4141 8227\n10092 10228\n2809 5914\n7 5264\n8477 13372\n2703 11540\n2254 6515\n168 1865\n3036 4540\n112 5620\n6254 9026\n1769 6872\n11707 14031\n4533 9941\n681 3338\n7980 12335\n10746 12146\n3965 4547\n8083 8267\n5140 8039\n12179 14892\n3405 6700\n14784 15142\n6526 9382\n1644 6159\n9865 15336\n8633 11935\n4497 9746\n5878 7895\n4926 6961\n142 2091\n6211 14339\n345 11929\n1482 12552\n6408 10932\n5430 9140\n6855 15277\n4576 13010\n688 7664\n791 9876\n3256 12800\n4917 6582\n2343 4745\n2612 10631\n3909 4413\n3039 8995\n580 5275\n10962 10966\n2303 9688\n8267 13130\n5145 11980\n2558 12842\n5354 12161\n9132 15479\n3578 13399\n4126 7827\n9693 14933\n6433 15060\n3632 9452\n12557 12739\n6072 12110\n3967 11958\n4036 6252\n12993 14716\n1973 8814\n214 11189\n4412 11787\n10696 14814\n10947 12995\n41 10493\n6439 13316\n445 5363\n14291 15269\n218 13484\n2368 12297\n3671 13094\n3409 12893\n2783 8383\n9251 10024\n2952 3264\n4395 12916\n473 3887\n8290 12801\n11862 13900\n10592 14217\n8663 9947\n1702 12217\n8428 14863\n7083 13303\n10674 12924\n1563 4833\n3941 14764\n1175 5496\n2352 12318\n1444 13969\n6399 6705\n4192 13503\n1425 12265\n3006 4084\n7922 8938\n14603 15148\n10094 10903\n3670 14960\n6421 12505\n1589 8824\n1471 14602\n7362 13968\n786 15293\n8525 12181\n4319 11440\n160 11064\n2930 7381\n3811 8765\n9254 12562\n5724 11302\n3250 4857\n11354 13653\n1157 9190\n6340 8351\n5612 9768\n7367 15576\n13523 15386\n9219 9473\n8293 12830\n1053 3679\n997 15233\n3929 11733\n4960 13331\n2105 7134\n12706 14850\n3538 4607\n11724 13499\n8523 9362\n9916 14887\n5934 6922\n5506 13259\n543 7598\n5453 6461\n13514 14612\n8499 14999\n5650 12614\n4452 15184\n5982 13493\n1475 2679\n3351 6007\n3178 4538\n2780 9805\n336 3100\n2139 2712\n761 12490\n1013 5986\n916 13532\n634 3391\n2344 3404\n11193 13444\n4573 7781\n2548 9710\n267 14236\n7967 12532\n2877 7502\n1118 10197\n10383 12860\n9024 10274\n10187 13116\n3507 5454\n482 4090\n8199 10618\n2886 4694\n8512 11320\n3968 4973\n5226 6431\n5876 15639\n6012 13784\n3694 14504\n3946 12631\n1428 2122\n1509 1701\n1830 6921\n491 3249\n7656 12422\n11698 15353\n2788 9303\n2871 5605\n2018 8593\n5000 12334\n11128 13749\n1639 11030\n5605 9767\n2959 15259\n1591 4825\n1871 7888\n8369 11458\n8922 9766\n13670 14152\n3621 13550\n7778 7828\n7674 10172\n1480 10171\n6375 9327\n78 6406\n2762 9332\n1816 6663\n2102 6005\n11684 12561\n8843 11258\n2522 6740\n11727 12784\n445 12911\n9661 11556\n10784 11709\n2482 6511\n10792 13369\n7801 12376\n1552 8354\n1379 3198\n6513 14850\n3699 12403\n2195 2647\n4652 6264\n4416 6870\n8619 10884\n12692 13915\n4767 15282\n2684 4074\n3990 13121\n6127 9460\n8768 12271\n8076 8880\n2036 7284\n11632 11885\n9874 11244\n7363 8320\n849 13909\n3722 10080\n6547 6924\n3159 10485\n8963 11019\n1101 13218\n7166 9040\n7014 9102\n9445 9500\n11003 14844\n54 7418\n9974 12179\n12800 14258\n3656 8004\n3648 12428\n927 9419\n1757 11968\n5552 8031\n910 11322\n2309 6582\n4644 12421\n4270 14365\n1811 3654\n2185 11838\n1717 3603\n1537 6701\n11339 13295\n4021 13260\n696 6581\n14663 15244\n2287 7303\n2007 4923\n6922 14346\n3416 14027\n10853 11803\n2227 14035\n3962 7815\n2672 4230\n7385 14452\n8407 9827\n3612 6128\n9711 13716\n8157 14811\n345 3842\n1656 10664\n3668 7429\n8479 12729\n6942 13409\n6632 9881\n3047 10653\n5516 10719\n2292 8917\n8249 14474\n4092 5555\n9606 15256\n945 10994\n1307 7220\n874 5554\n3096 9769\n13464 13648\n14876 15451\n13410 14838\n1702 13614\n3021 4761\n465 15235\n4355 11246\n2385 4854\n1631 10482\n2696 3803\n5836 13722\n8680 12916\n1451 13746\n4990 6726\n7431 11810\n8534 9479\n9007 14964\n4435 9003\n11397 14503\n2072 5742\n2642 5274\n1025 13077\n8856 13079\n7055 13120\n7743 12193\n5506 14408\n1922 2045\n3375 7375\n9220 13857\n7676 11210\n6299 15195\n1572 6982\n846 13135\n6366 9040\n3718 5363\n3658 12546\n6067 13698\n12543 12564\n5236 10444\n9439 11121\n3020 12149\n2963 8305\n1326 7407\n3889 9126\n2818 14530\n4617 7450\n2346 7585\n9750 11424\n11539 14484\n11559 11847\n1791 3250\n4404 9678\n4907 9845\n7982 10725\n10013 14112\n3702 14655\n5320 11593\n3505 10002\n2356 9096\n587 7521\n7951 9805\n1483 6233\n11220 12538\n8610 14612\n191 12328\n1078 7989\n363 6524\n8720 11984\n1353 4921\n6790 10774\n9345 14198\n7445 11400\n9291 11911\n892 5966\n8769 10475\n11217 11412\n3469 4777\n5260 11222\n2159 11111\n3673 10975\n1 8138\n4971 7237\n2617 14770\n8928 10803\n4054 6651\n1214 6582\n3987 9073\n1223 13482\n685 5582\n10133 14358\n3781 13436\n1483 15378\n6393 10705\n4256 10143\n5486 8711\n5260 6188\n12551 12850\n7045 15348\n8476 15609\n7950 14103\n8325 12506\n9320 14513\n12080 15402\n5307 9149\n3402 8297\n4445 7287\n5505 7873\n914 12612\n230 9995\n8195 10037\n1784 7357\n5108 15324\n7400 9991\n898 12477\n132 3023\n6498 11842\n9034 12831\n13835 14293\n2773 12827\n962 4285\n3517 3541\n8498 12694\n7494 13263\n464 1823\n190 9178\n433 2768\n928 11204\n12330 12551\n4288 12236\n4860 11513\n5930 10582\n985 9867\n4865 15143\n3998 8075\n777 12491\n4616 5989\n318 9750\n2195 6229\n2778 7543\n4313 13949\n7447 10010\n9913 12912\n4218 13966\n7433 10754\n2370 6237\n3895 7097\n3041 8571\n9437 14114\n3011 9416\n4470 10493\n10052 10343\n3787 9616\n4814 8208\n6900 10144\n113 13354\n3099 13717\n8584 9794\n3241 8792\n4552 4642\n8290 11683\n10547 15520\n4668 7113\n5131 13349\n6228 15129\n5982 9472\n315 12690\n2849 3350\n1281 1533\n4388 4405\n7582 9578\n11637 12831\n7044 13354\n615 7225\n9072 10511\n3877 5180\n10142 12003\n8568 12645\n8230 11901\n3361 11072\n3072 10141\n8941 12488\n3093 11724\n12180 12892\n1616 4659\n202 6426\n3351 8063\n7604 14506\n2853 7639\n1187 2142\n5490 8599\n14013 14029\n1171 1593\n13550 13566\n5192 11108\n559 8512\n7351 14789\n77 3810\n9665 11542\n9289 12002\n8074 15649\n10344 15621\n2698 5219\n5976 11465\n4493 14682\n9456 14222\n1493 13470\n11441 13718\n6838 10168\n1888 6620\n2270 7491\n6522 14332\n2735 9821\n1068 13970\n3798 8082\n5260 6517\n7544 12544\n2205 9260\n6621 10003\n1675 11538\n2005 5383\n420 9156\n2225 13567\n580 1592\n10916 11101\n10541 12418\n6383 7542\n9269 11228\n5196 10265\n2467 9302\n5058 6673\n6404 12775\n3410 4635\n2834 10717\n1177 13764\n1737 6421\n2882 10518\n4062 14533\n10854 13278\n3300 5213\n105 15311\n5419 9433\n3813 6625\n7830 9184\n10640 15302\n9142 10372\n11953 12805\n194 1601\n6776 8131\n8063 13409\n812 12469\n4139 11871\n2568 8242\n7257 14397\n7490 12357\n2350 10951\n631 6067\n14357 15333\n1921 15384\n664 8231\n4424 6382\n14 4280\n3573 4695\n2411 6792\n9400 10153\n8142 15547\n2584 14666\n1853 10666\n3462 7394\n5418 5950\n10419 12778\n7269 8395\n1466 6793\n8167 11015\n241 6041\n10187 11111\n1675 2866\n5118 9933\n2949 3241\n4910 6227\n8034 14776\n5725 8900\n6588 12306\n6622 9141\n5998 7162\n6661 11535\n89 13302\n9415 15620\n2381 14468\n10200 14481\n6095 11306\n9600 12014\n12776 13858\n169 1077\n180 10418\n2651 14015\n8222 10942\n2680 13606\n1066 10133\n8246 12732\n2107 6975\n1522 8804\n393 1000\n5831 10441\n9346 12024\n1578 4230\n59 12025\n6815 8514\n1873 3039\n4957 6099\n8508 9385\n1249 15400\n5433 7443\n10732 14392\n2097 2467\n9318 14536\n2273 14152\n5590 7118\n663 1523\n458 3449\n2535 3031\n833 1877\n9142 9846\n298 5611\n9494 12822\n9851 14220\n1546 14094\n4827 12202\n4071 8118\n12777 15618\n3335 8205\n2581 14324\n8687 14451\n5807 7706\n10202 10711\n7120 11739\n2956 6389\n2002 9415\n3494 12736\n1895 6717\n4612 6902\n8368 8471\n7205 14921\n7210 8705\n5272 6172\n6894 11070\n8562 12930\n6626 11516\n1919 5288\n9614 12349\n5041 8001\n9719 14189\n8417 15312\n8339 14575\n828 13645\n45 9650\n1107 3883\n8103 9146\n12248 13324\n1406 3712\n3799 15124\n5652 6496\n8740 13053\n54 818\n13214 13596\n12577 13519\n6356 7929\n1705 5108\n6555 14900\n2949 12427\n9251 13710\n6738 15592\n2555 15069\n1951 11530\n1530 13556\n4993 12969\n1101 12021\n8442 12434\n3508 15159\n3037 12770\n7803 14616\n1609 11739\n4764 10239\n776 13181\n4870 15494\n6760 11285\n4479 10398\n7605 14121\n6068 8401\n5374 8671\n75 10852\n2532 14626\n3231 3643\n13022 14182\n11538 13698\n119 7558\n2031 2857\n1640 7026\n711 5725\n9209 13084\n4189 4762\n14264 15372\n2607 3769\n10184 10445\n5811 11302\n36 14831\n2566 13922\n4197 10670\n4048 10236\n11095 15489\n492 5697\n7219 12591\n11021 14849\n858 2553\n3799 7463\n9838 14865\n8953 12883\n1761 11200\n3755 13383\n8450 13652\n9863 15249\n6925 8210\n769 9428\n6573 12126\n144 14409\n3643 7552\n4990 11722\n1122 8383\n2436 6986\n5213 11793\n510 10939\n1394 4814\n6606 9105\n44 2811\n5093 9884\n14537 15093\n2915 8388\n5968 10428\n8597 14991\n3227 10904\n203 7106\n3243 9787\n6341 14331\n1425 13230\n26 1632\n5290 8975\n309 14923\n6458 14494\n5372 6868\n8999 12178\n12651 13481\n12384 13943\n9678 10522\n7107 13769\n18 13521\n3132 9804\n1783 5789\n13977 15021\n6556 8937\n10708 11158\n233 12725\n7933 13563\n9724 9798\n7567 13436\n10310 13787\n1870 6082\n3797 4715\n7747 8414\n8672 12911\n10936 15357\n14429 15618\n607 15424\n4566 15426\n3631 5025\n5095 13269\n4741 10064\n13969 15158\n1997 10860\n8403 15588\n8451 13461\n1198 11895\n11381 14262\n2219 6220\n501 12804\n13343 14213\n10061 14791\n6211 10075\n650 10166\n1534 5690\n2693 13481\n8050 14730\n37 3841\n9527 14592\n1216 8481\n89 2155\n5543 7599\n3173 14646\n8598 9302\n3723 8489\n12571 14051\n51 4444\n1670 13717\n1680 10701\n66 11361\n214 12347\n3064 11142\n4954 8883\n3459 9011\n13397 14092\n13231 13729\n11019 15547\n2478 10465\n5328 6363\n6080 10583\n3470 8849\n12415 14699\n8412 8824\n1684 6068\n4438 9479\n6432 9538\n2535 15421\n10726 14205\n248 8497\n4460 15621\n4655 10843\n10252 12714\n508 12185\n3606 13626\n5680 13099\n4718 8362\n3498 4192\n6120 9703\n6180 15264\n14168 15635\n314 1886\n4770 6657\n1248 6397\n870 5879\n3253 6722\n4953 12860\n160 5924\n7959 8890\n9684 13238\n4022 8843\n5821 6034\n2518 15444\n6000 11045\n6766 15437\n5623 10075\n5314 5569\n7198 12403\n13967 14638\n917 4124\n7532 10177\n9388 13855\n3825 9763\n5875 9919\n284 6919\n4125 14873\n10449 15229\n13346 14630\n813 5291\n10222 13060\n2198 7366\n1957 5164\n6314 11993\n8737 9922\n668 7777\n1114 15292\n4715 7313\n6608 14272\n6324 7349\n8975 13496\n3560 10437\n2599 5459\n4392 11356\n2476 8864\n6230 13982\n2689 11417\n3284 3819\n2934 14771\n3188 12094\n8427 15193\n3048 15656\n9681 13444\n1416 13005\n5313 5744\n2290 12873\n2799 7771\n157 11284\n4127 14834\n155 3061\n9449 10786\n1771 9324\n5852 12479\n7038 8826\n6110 7907\n9721 11070\n1645 9436\n9268 10154\n3607 13508\n1767 12080\n5190 6070\n4618 8487\n956 7697\n4096 12224\n8402 8831\n11072 13378\n3266 6818\n3777 6185\n11853 15523\n2735 8536\n2484 8793\n6040 9865\n6732 6910\n13437 14781\n11067 15390\n2490 3395\n2592 5358\n7584 15084\n674 10613\n1482 9282\n8319 10597\n4589 15506\n15097 15442\n10950 11678\n2025 15555\n6080 12143\n4959 12372\n8861 9436\n6655 12274\n452 8390\n8143 15515\n11516 14911\n8364 9973\n1650 5108\n1930 5002\n7134 8895\n11104 11106\n9199 9614\n11678 13249\n1943 4340\n1628 9471\n8045 12619\n4487 14088\n4268 8059\n3421 4320\n6828 14144\n11864 14829\n2129 15199\n4204 5948\n6162 7785\n6610 7119\n2467 14880\n1441 15284\n3898 12576\n1733 1885\n757 5631\n7900 11000\n1959 8454\n3526 15625\n4085 9569\n1238 13821\n3200 8763\n4276 10390\n8605 15130\n6055 7914\n7987 11240\n6432 11241\n7032 13571\n2010 10265\n1217 5142\n1841 13899\n3655 9455\n340 7274\n4862 8353\n10997 13533\n394 11426\n4616 10804\n4470 11059\n6546 9038\n12421 14852\n1937 2640\n12217 13481\n140 14513\n598 14518\n2903 7812\n854 9390\n470 4340\n6398 10923\n5260 15459\n3494 12228\n1297 3666\n6222 15065\n5463 8379\n8729 15424\n4891 12941\n13889 15456\n3124 5359\n9079 12964\n4045 5068\n11096 12794\n836 5087\n3005 8359\n10461 10866\n7748 7943\n2143 8495\n5311 14310\n2783 4366\n7064 13541\n3051 14058\n2303 6075\n9802 12786\n14978 15450\n8119 12156\n2713 8141\n13307 14481\n8564 15148\n52 10910\n4760 13691\n8233 13766\n6346 12803\n2611 5649\n4217 7433\n9874 13978\n8142 12373\n12264 12655\n10776 15089\n2279 11567\n13329 14503\n9967 14993\n6326 12096\n3466 9594\n29 6764\n3203 5982\n6184 13733\n224 1303\n7408 8299\n6575 13412\n9500 11508\n5146 13884\n1235 11895\n10202 12432\n6000 8835\n2926 7142\n6617 6643\n10518 13325\n1025 8794\n604 6973\n6455 6520\n438 12455\n14892 15470\n3817 9343\n3587 7603\n479 8063\n5291 14481\n401 10865\n295 3572\n785 5397\n14894 15602\n722 3183\n6780 11505\n2182 11614\n1894 13852\n1320 2949\n3001 5272\n10077 10862\n5372 7093\n9466 12081\n7525 13081\n10556 11347\n3035 5703\n1681 5202\n3328 7424\n4110 12805\n8819 15398\n7421 10734\n4593 5904\n1860 8456\n354 3536\n8866 9856\n1426 10097\n3480 6886\n3645 9370\n971 7958\n206 8370\n4457 10412\n1413 13206\n3102 3882\n8841 14806\n10129 11619\n3542 6104\n2302 4014\n7405 14773\n7171 10163\n9838 12236\n2341 13581\n6213 9270\n6355 12029\n1183 3434\n2270 5481\n4639 11999\n5009 13300\n4541 13846\n3716 5440\n5086 12850\n3509 3702\n550 7245\n5681 12167\n8052 14715\n3340 12440\n7661 15660\n3622 7586\n2145 8448\n1418 2583\n3758 4024\n10864 13884\n6282 11895\n694 5680\n9577 15648\n3418 5450\n9150 10190\n5931 8144\n2367 12974\n12412 15511\n8133 13969\n1291 14829\n7332 12630\n1609 14943\n12172 12181\n3889 9888\n2806 15412\n6815 8692\n1719 4776\n2536 7597\n5873 15028\n599 12629\n4597 13090\n1736 12260\n7556 10876\n737 8040\n8127 13646\n2042 10749\n6752 15251\n5310 12859\n2210 10034\n9579 11162\n4633 8067\n2254 6307\n8118 14783\n4067 14847\n11577 14530\n211 13228\n70 14808\n9135 12312\n2521 9756\n2779 11925\n3628 5776\n760 3479\n192 10876\n8281 11813\n9813 11185\n4668 10026\n1609 3164\n10783 14281\n11585 12848\n4827 6894\n5509 11205\n4501 10990\n10392 10490\n1662 11565\n5096 9426\n6795 9289\n3996 14830\n4945 12177\n5633 15432\n8398 10899\n224 3902\n7400 10294\n5729 13272\n5083 7264\n3204 3353\n800 6557\n1494 8286\n3648 7239\n5770 8999\n12391 14250\n4313 11393\n3069 12358\n2819 7212\n6059 6913\n3778 5503\n5219 8042\n14696 15334\n6444 12775\n8827 10481\n4887 9409\n1988 13975\n560 13113\n10104 11885\n3216 5950\n8761 15073\n12555 15356\n1742 4223\n15236 15457\n4076 13324\n5012 9196\n9561 13908\n4085 11113\n2983 7752\n2415 11956\n8227 14604\n5057 12934\n3443 13726\n4447 14867\n1466 3410\n1282 1779\n7447 15032\n8946 10538\n1273 13037\n151 885\n5256 8588\n150 14589\n960 5492\n9715 12688\n6422 13313\n10613 11159\n2218 9266\n5385 12677\n7012 8571\n2678 10116\n1326 9061\n4153 5610\n10450 13991\n2638 4889\n6260 12693\n40 7806\n6497 9999\n3292 10888\n4059 8278\n10025 15501\n13278 15037\n2941 6783\n9801 15280\n5882 7998\n7977 8693\n4871 11049\n4167 8387\n9167 9770\n1692 2742\n10752 15509\n4911 8021\n2138 13519\n6142 6498\n10014 14013\n1555 12854\n13374 15409\n12362 13741\n3071 5067\n7029 12813\n4074 11797\n1598 15272\n7795 14699\n8275 9352\n948 6023\n3650 5907\n17 2060\n7801 10240\n26 2387\n2175 7667\n5568 13862\n6120 7696\n5194 9514\n11599 15210\n5242 13322\n1768 7640\n6866 13346\n10623 13954\n12236 13084\n10563 14470\n14379 14589\n7996 15543\n1171 9629\n410 15621\n3459 12442\n2144 5066\n1939 13609\n2033 11127\n1750 3024\n789 11021\n12335 13192\n4553 14481\n1253 6172\n10803 14967\n7691 15108\n5687 13331\n12584 13293\n1914 3664\n40 8109\n8088 13695\n4780 11320\n7889 14873\n3972 5999\n1626 13664\n6477 8545\n11270 12300\n12515 13953\n3389 7855\n2938 13916\n436 4257\n4850 8192\n1095 6784\n4371 8551\n7060 9467\n3417 9039\n6225 10266\n585 6542\n9197 10770\n6820 7806\n371 9803\n4456 8302\n1313 12884\n734 7717\n1767 14797\n10407 10493\n504 11216\n10423 12948\n3046 7643\n13 9282\n1059 8404\n4071 11528\n6623 7693\n3604 9699\n1822 9963\n2769 4027\n5096 14778\n2759 3311\n3278 3583\n1600 6246\n3458 11376\n10134 15574\n6467 7750\n3956 11447\n1385 12957\n5784 11730\n7054 10035\n1494 7511\n2366 12980\n7025 8982\n12324 14240\n432 3013\n10858 12626\n4001 8481\n7508 14144\n4734 12441\n12838 15310\n5311 9806\n5016 6265\n8561 10476\n1002 5706\n3519 8556\n7768 9308\n8112 11693\n2255 6806\n37 14505\n2762 5459\n156 11193\n7030 15080\n3562 12657\n2393 11564\n1949 5997\n4075 12153\n4093 7387\n743 2933\n2545 12593\n10251 12922\n10662 14630\n421 6872\n9010 14658\n2406 10905\n6794 13346\n615 9467\n5480 6940\n6526 10938\n408 1986\n12241 12656\n6184 11270\n3791 8213\n3350 5005\n6860 11996\n7264 11800\n597 6747\n3521 8512\n2374 9543\n8901 12798\n7745 9301\n9763 11066\n7474 14276\n713 10862\n1378 9894\n9502 11659\n6524 14592\n7246 7324\n7289 12367\n7320 11373\n2637 7793\n135 7573\n6008 11115\n3514 14352\n5479 5623\n1124 2889\n1273 14980\n11801 14255\n6568 13495\n8087 15413\n4222 8582\n13647 13945\n229 13185\n2461 9458\n9797 15357\n515 8444\n2111 5470\n7554 14347\n5214 10066\n2533 13096\n1722 3443\n9581 12792\n527 9894\n3049 13587\n4195 10869\n27 11102\n629 5456\n3168 10435\n633 2557\n10350 15122\n9776 14765\n508 3397\n2273 14172\n4789 12548\n2846 7467\n1076 13833\n6407 10271\n6197 15256\n1646 10222\n3260 5778\n4890 8744\n499 2553\n2760 9275\n4089 4517\n10014 11625\n4692 8541\n5466 5742\n3071 6823\n6692 12794\n7901 14956\n11369 14063\n482 11713\n9992 13934\n12065 12223\n564 15207\n329 3397\n4656 12201\n3093 3985\n7798 10631\n7090 11406\n622 1235\n4699 13699\n753 12817\n8014 10633\n12086 13340\n1798 2149\n6706 10452\n7465 9347\n739 9566\n5935 15381\n3779 5045\n1039 8461\n435 2640\n2587 15133\n8947 9274\n7645 8836\n2030 11699\n2525 8086\n9226 9533\n4924 14847\n756 9289\n1454 7433\n1867 5467\n2183 13683\n5443 15250\n5539 5651\n1766 5896\n7079 12192\n4694 5421\n1171 2127\n6024 11070\n5867 13940\n6703 10580\n8473 9411\n47 13617\n130 1308\n2471 10960\n6091 11918\n523 3360\n749 10939\n12769 13290\n4180 8715\n5268 8454\n2252 2911\n11866 12517\n10232 12272\n4242 9445\n225 9675\n4556 13699\n11112 12953\n611 5112\n10067 11293\n289 1919\n2050 8735\n11064 15517\n5347 7875\n8183 12922\n2715 11512\n4258 5430\n3033 3998\n4512 11212\n2581 11384\n10293 12050\n6657 10115\n652 9249\n3093 3268\n2840 7323\n539 9259\n11605 14403\n5973 12970\n1246 14254\n10090 11609\n7502 10583\n13548 14118\n9893 10720\n4306 11366\n1286 8245\n778 4447\n1196 3964\n1315 7670\n405 13315\n6794 12592\n5069 8646\n615 4467\n1685 11913\n225 4804\n1884 14299\n9612 11114\n1861 13570\n2704 6514\n1682 11208\n10259 13587\n266 7047\n14588 15375\n3563 12214\n8472 14052\n4019 8056\n7200 11659\n11498 14724\n2255 10721\n3898 5000\n6807 8804\n9932 13672\n11592 15243\n576 8761\n6606 9477\n3828 13985\n8550 13599\n9928 13390\n570 14491\n7212 9298\n8549 10336\n4387 4444\n3851 14185\n7194 12054\n10315 14634\n1536 12199\n3809 5222\n6393 7096\n5332 5935\n6353 8980\n2073 4591\n9432 11357\n1321 2653\n4534 8191\n7795 10736\n6566 8791\n1849 13712\n9361 12739\n1674 4158\n4016 12768\n6699 15473\n3392 6248\n4492 10648\n10679 15015\n7599 9940\n5639 15632\n4900 11509\n5669 14297\n4039 8441\n8780 14182\n3862 9151\n5146 6060\n4909 7505\n7343 10297\n5178 11839\n7640 15030\n133 7813\n12345 13327\n4596 13823\n11608 12639\n7358 14559\n6597 8047\n3014 10243\n4844 5847\n13361 14840\n3504 8400\n4959 6482\n83 10304\n5306 10550\n6448 10951\n983 11849\n6745 7866\n10586 10939\n5969 8663\n2317 10970\n5566 13153\n1542 4725\n3867 9147\n10621 14441\n5915 8528\n994 6808\n591 6136\n489 6285\n2440 12047\n13487 14638\n1472 2937\n2280 9264\n513 6948\n7854 11868\n471 13987\n1278 14810\n104 3366\n4805 9819\n722 12734\n514 2015\n8355 10621\n945 2326\n13706 14024\n4578 6392\n6846 9690\n9077 13334\n3053 6317\n12738 13186\n2324 14232\n3262 6198\n208 14399\n6368 10615\n6081 8667\n1302 7500\n9193 14079\n556 6396\n9777 12878\n1788 15403\n5018 7405\n6905 13772\n7002 11302\n8170 15539\n5884 12101\n4135 10466\n5180 10689\n7386 14816\n8690 9483\n2357 14166\n249 4118\n5757 7492\n7855 10478\n5773 9905\n7925 11025\n3194 4937\n5836 13272\n2359 13791\n1627 12483\n1203 3617\n2732 3830\n2730 7618\n7876 11914\n7205 9802\n10261 14821\n9193 12824\n5937 12044\n2305 7870\n5548 13413\n565 14114\n12309 12925\n7499 12064\n14725 15330\n5330 14016\n4480 6879\n2181 3201\n3421 8812\n2987 3975\n4180 9103\n240 5165\n1913 15656\n2886 9958\n423 6004\n3841 13764\n413 3219\n1798 14960\n9201 11983\n9169 13846\n14778 14952\n7897 10346\n2936 11330\n9290 15257\n61 12421\n9458 10561\n2489 14958\n291 14811\n1724 4859\n269 9522\n3326 4054\n1144 4317\n922 3699\n5815 8552\n386 4983\n4248 12949\n5105 13676\n7196 8874\n10181 14627\n8253 13133\n3607 11512\n135 727\n9934 11421\n1295 7170\n1434 3450\n5265 8529\n5179 9561\n8200 8616\n5910 13480\n321 1913\n7425 14594\n12678 13959\n4778 6365\n4625 5643\n1471 15651\n49 6385\n2555 14552\n5717 12634\n13039 14551\n5656 9099\n3644 14170\n8685 11326\n6461 9168\n343 12616\n8405 14750\n339 8673\n1152 2806\n3323 7755\n8955 10066\n1371 5477\n3731 13384\n268 12864\n3959 10634\n9509 11769\n4594 9551\n5021 8034\n4397 10576\n5328 14749\n2743 7698\n11660 12216\n9402 14124\n9389 9843\n4397 9111\n3587 9955\n3595 4093\n7324 11575\n11299 14846\n1423 13446\n979 2421\n3509 7923\n9123 13313\n8353 8984\n4292 12690\n2966 13547\n1649 8739\n4549 8990\n12958 13516\n6059 11088\n8420 15636\n2977 8903\n11324 11354\n4264 7283\n7921 14818\n1053 14509\n5895 9162\n15099 15472\n7289 12026\n370 6734\n4430 8544\n1485 3945\n13123 14159\n10943 12552\n798 7349\n11324 14762\n3922 9621\n13437 14354\n2809 13434\n3274 10108\n13563 15018\n6911 6990\n11491 13510\n6831 14130\n4198 4345\n5784 11994\n5371 14662\n6153 14996\n2486 5750\n2383 5367\n6720 13160\n8261 15430\n6185 13677\n8903 14371\n9491 14803\n2837 13412\n3244 3300\n7121 12439\n1933 4699\n4865 11535\n9275 11637\n8410 10106\n4106 6207\n6269 12123\n1602 11717\n3359 9063\n1653 7255\n3707 6635\n10428 12961\n4724 13251\n209 14875\n188 13493\n6882 15602\n3994 4037\n7852 8774\n9898 12116\n10193 15350\n3132 6323\n6869 10112\n9543 10567\n15059 15141\n12069 14277\n11579 13720\n2304 8316\n11137 13679\n4176 8505\n1995 11996\n911 1516\n1767 9136\n6420 7290\n3709 4258\n2530 13315\n1882 9461\n6922 7060\n3421 13957\n4268 15102\n329 6825\n7627 10670\n5608 12109\n1680 2116\n2328 13568\n4389 10574\n11868 13121\n8815 9703\n4122 15185\n6792 12562\n1494 13133\n326 5524\n7096 14157\n1699 13835\n5249 8608\n12877 13663\n12909 14065\n4596 5517\n2377 7094\n5305 6109\n3036 13553\n2680 15360\n11013 13085\n45 6494\n7303 8944\n3463 3721\n3327 15207\n6941 14650\n3055 3647\n322 2824\n1757 10141\n3655 14640\n6955 11620\n2586 7594\n1026 8733\n2178 11032\n4985 9368\n10071 13886\n6627 7688\n9438 10977\n8147 11610\n8449 12789\n499 14880\n4242 4328\n10209 11660\n4740 6725\n240 455\n7322 12684\n4428 10102\n9029 14850\n5118 14266\n10421 13590\n4284 13775\n4183 8555\n2755 3370\n2040 11876\n5546 10849\n113 14213\n1118 4834\n357 2486\n11870 13656\n3557 10371\n1209 4100\n2718 13659\n412 6883\n354 3631\n9398 11867\n7565 9180\n9184 13875\n10679 13387\n5831 9694\n3675 6973\n2892 8119\n4749 9948\n9526 10093\n2218 8800\n7870 9594\n4189 5836\n2634 14496\n3211 12715\n7025 11944\n6658 14578\n11032 14076\n3314 5606\n1997 14974\n12439 13982\n4612 8802\n4217 14200\n3921 14227\n2327 5301\n11399 13706\n381 14061\n7492 14678\n1802 6422\n2363 6095\n2254 5795\n6450 14873\n5206 9170\n2073 14521\n1597 12828\n2703 9428\n702 13194\n10812 14768\n12914 14580\n7392 9213\n7525 10930\n1052 10196\n5548 8470\n6732 14541\n6367 12170\n6169 7847\n4853 5874\n1354 8300\n1830 7344\n7074 8468\n6776 6922\n1755 12400\n5486 13150\n2630 4006\n7040 11968\n135 7568\n11054 14092\n1425 6167\n2636 5301\n5197 12696\n96 3036\n57 230\n5564 12762\n7033 10039\n2108 11921\n3921 13776\n9661 11518\n4904 7301\n15300 15524\n1338 9512\n2808 7998\n4293 7747\n8761 14937\n9277 15379\n3042 12325\n8759 12722\n7222 8616\n8096 14343\n13321 14736\n11811 12381\n3711 15509\n9260 15544\n1799 5110\n11055 11279\n5712 9679\n1335 7648\n6453 12126\n3938 5309\n2483 8446\n3052 11707\n2787 4535\n7345 9911\n8756 10548\n8082 8408\n208 14739\n1191 5091\n9046 13654\n6370 13690\n8741 15287\n1275 9170\n5026 14429\n1640 8239\n3336 4019\n9468 14439\n2995 6674\n7334 12037\n4304 7986\n10492 11901\n5061 5458\n5032 9715\n1080 6138\n5414 11755\n9604 11831\n672 9896\n1234 8662\n1242 8501\n2834 10968\n2381 7232\n3217 6954\n7704 13715\n4763 11283\n329 9132\n1234 1367\n1293 12938\n4276 8430\n10300 12397\n7999 13336\n14223 14692\n11830 13023\n3355 5134\n2098 12371\n7674 11100\n8 2462\n11781 12131\n6457 15294\n6580 15389\n8678 9407\n2041 8974\n7 1144\n2266 12716\n2556 10176\n1091 7479\n11509 12077\n8000 14428\n2408 13731\n5652 14818\n394 8817\n10209 10377\n2474 7509\n1024 10393\n9967 10420\n8562 9015\n8774 13495\n5595 13521\n3815 4900\n11425 12151\n674 2043\n4196 14817\n5283 14188\n2908 9107\n3068 5801\n3419 9492\n1753 10786\n7314 13241\n4612 6718\n3185 15013\n6757 12816\n3449 14358\n2207 6802\n6561 8177\n3888 4938\n14256 15393\n3990 5748\n819 11565\n904 7490\n2252 11367\n6976 14673\n8108 15023\n2097 3325\n1712 2042\n11838 14408\n3819 9719\n12474 12815\n1545 11689\n641 15210\n3587 3848\n753 8249\n11143 12395\n4844 5691\n12934 15089\n3700 11201\n3369 6476\n1787 11190\n6039 14510\n10952 12738\n9712 9997\n5490 10417\n8340 12479\n8760 9609\n2588 8926\n8795 14189\n5819 13782\n3256 8366\n2587 12528\n4089 7657\n7915 11443\n2243 13863\n744 8706\n7738 11465\n4876 6644\n2511 10001\n3410 14801\n3813 13295\n1083 6636\n684 12343\n2933 8098\n1432 14852\n53 9785\n2606 8961\n181 7023\n1636 9377\n5670 10620\n5342 6737\n3320 9982\n2371 5521\n8829 14342\n1689 2121\n11047 13583\n1567 7286\n4242 7663\n13119 15161\n10952 12068\n541 12344\n4467 7053\n11927 12298\n4824 7883\n21 8031\n6315 6799\n8991 14327\n214 9343\n13963 14229\n11900 13933\n6280 10351\n6985 14236\n6452 7545\n7293 8882\n8645 11427\n8343 13859\n8616 13769\n8323 8736\n10680 13054\n4146 9082\n2418 3914\n9774 9986\n2270 12775\n1850 5539\n4174 10414\n1810 13105\n2974 6949\n10394 12128\n12132 14911\n1659 9167\n1109 15536\n11844 14754\n4112 4348\n5051 12381\n3772 13859\n14598 15485\n3863 12311\n5865 8824\n8954 14021\n1531 14696\n2417 14240\n3916 14941\n7309 15470\n1072 5648\n8706 11826\n9751 13452\n8015 10321\n2488 14532\n2115 9009\n6774 14765\n8946 9647\n10568 14156\n5203 14411\n992 10447\n7502 14381\n7906 11452\n12411 14184\n3535 12262\n7537 14534\n1683 7456\n4279 10434\n5142 7406\n1811 13554\n1439 11487\n3788 7793\n6406 9006\n1565 5640\n12594 12772\n554 3712\n5898 6104\n104 9702\n4141 9347\n6719 8604\n9772 12328\n1118 14284\n4374 10872\n4741 12757\n9415 14041\n630 10034\n540 14778\n12 12216\n1104 6287\n2900 15576\n1063 6039\n5753 9221\n3689 4364\n10456 10817\n5504 6180\n7727 10550\n7078 13399\n1180 15121\n3242 10171\n7151 9688\n7220 12856\n1112 7466\n1513 4904\n4747 12470\n4748 12867\n10099 14705\n1298 14468\n7865 9112\n6119 10601\n2305 9706\n6788 12989\n7842 9778\n8054 14286\n5797 11600\n11853 15109\n5951 11136\n1607 6452\n398 11325\n3912 9802\n4623 12000\n12260 14404\n12998 13880\n4066 7495\n2229 7841\n404 2702\n12992 15043\n1191 1195\n9747 15552\n2690 14658\n11567 12095\n7274 12121\n7800 8761\n8491 10796\n5161 11869\n4450 9817\n507 2365\n5159 7128\n2195 8930\n66 1836\n1349 4740\n3177 7879\n4303 6874\n1917 12055\n5344 12788\n2361 2510\n8319 10568\n2114 12736\n6178 12152\n4171 12106\n5169 7275\n4571 14064\n79 12781\n7388 11584\n9999 15112\n11444 13462\n781 2268\n4958 9507\n6103 15001\n1999 15042\n7119 7930\n112 6009\n31 6610\n6517 14176\n2030 2587\n8519 12033\n7374 7668\n273 13312\n392 4790\n12309 14603\n11276 11970\n5930 10846\n6745 13715\n2238 13888\n1655 11809\n102 3490\n8518 11462\n3267 15138\n1929 4152\n2518 9734\n8699 14326\n4373 13392\n3022 5941\n11065 11998\n13075 15091\n163 3489\n453 836\n3484 8912\n4012 9183\n5570 6052\n3850 14573\n2988 14934\n3816 9818\n7892 13531\n3691 12803\n7368 14101\n6838 10188\n5646 12707\n12089 12413\n1749 13200\n155 15527\n1714 7450\n3711 5153\n9343 11150\n12916 13324\n2715 14669\n2615 3500\n9594 13923\n10640 13884\n3242 11920\n7397 9412\n7256 7848\n412 4087\n5535 14180\n8896 15359\n12109 13906\n4482 8362\n7778 8746\n11630 12905\n1141 13936\n8508 9558\n336 4813\n1111 7571\n241 2560\n1910 11491\n3002 11662\n14569 15452\n10794 13603\n3786 9442\n8478 15094\n1397 1922\n6852 10182\n4894 8727\n6888 11849\n861 10083\n247 11349\n1219 6653\n12782 13949\n3228 8654\n2103 3204\n5622 10278\n6770 9942\n3929 6083\n1700 8392\n68 11250\n1048 5176\n2280 12835\n10874 15617\n4835 8914\n2144 7653\n7359 13493\n14533 15019\n4654 9838\n13375 13608\n6306 8588\n3395 10984\n9376 15010\n4276 7213\n244 434\n10427 14384\n667 6798\n2199 4944\n2773 13208\n1372 6281\n340 11301\n5884 11398\n11189 12812\n5638 12893\n2023 3213\n5362 12149\n13810 15228\n8554 11457\n307 9518\n1003 14660\n5993 8705\n2742 6734\n2952 4975\n10460 10938\n248 365\n7514 13537\n724 12936\n860 12712\n229 3971\n8013 9289\n741 9189\n452 9069\n2040 7862\n1009 14431\n10936 15305\n4596 8216\n2264 15233\n10027 10897\n8289 13299\n3046 3783\n10559 15358\n2902 13876\n1542 10565\n4010 7798\n2319 4488\n12320 12385\n695 14345\n8446 12444\n1642 14849\n6002 12108\n1076 6610\n8200 10709\n4611 9527\n14346 15292\n473 14571\n9770 11291\n3476 6206\n2960 5729\n4220 8762\n10167 13206\n597 9042\n7026 10796\n86 12942\n1706 7418\n8679 9208\n2530 5204\n1877 15145\n2079 6935\n640 10245\n2685 6353\n3788 10340\n5733 15282\n9972 11373\n4082 6000\n1430 10068\n4356 6285\n7570 9255\n3963 10541\n12710 15107\n239 14703\n1860 12894\n1882 9563\n12975 14450\n6700 13567\n3859 10196\n10717 13858\n2548 4977\n9547 11354\n1079 1570\n750 4285\n10538 13742\n8210 15039\n4995 7487\n2531 3265\n2835 5878\n13599 15275\n10337 12440\n11727 13235\n9071 12027\n6270 10377\n12507 13197\n1346 2403\n2381 2820\n2127 4947\n11530 13943\n10052 15256\n9842 11449\n9066 12672\n1256 6243\n3721 4561\n1897 9453\n11618 13441\n967 8451\n7539 11500\n1579 4819\n4131 5313\n8319 10292\n3484 4765\n3790 11004\n703 6981\n9850 10332\n11191 11221\n8278 10804\n5260 12147\n11386 11609\n3413 14334\n7517 9415\n1091 11300\n1180 7331\n7904 10143\n492 2989\n9417 10538\n4876 5455\n8887 11498\n759 1751\n334 850\n9944 14829\n6395 8105\n5579 6387\n3240 7566\n2710 9007\n3537 11860\n2707 3659\n8801 9966\n1182 14464\n13617 15216\n9569 10868\n6924 13736\n8649 12667\n3493 13092\n8700 10367\n8564 15569\n4532 13531\n10115 14447\n1292 10036\n2608 15124\n2711 8033\n9894 11861\n6898 14004\n11138 14076\n6693 10465\n1021 2741\n10831 14099\n2308 9848\n9835 13073\n4039 14029\n6559 14896\n7278 10679\n4985 10617\n6589 12700\n5535 12905\n10879 13890\n2067 2603\n9387 13854\n6745 7634\n4468 11625\n2452 2946\n4644 7472\n6855 13911\n10537 13744\n6109 6686\n3018 8339\n7480 14060\n1030 3815\n3709 7278\n454 12892\n2600 7240\n7268 8747\n10561 11024\n3821 13075\n346 3736\n9220 12093\n8842 10498\n10039 15216\n5116 12305\n8457 11581\n7749 8010\n1789 1836\n1233 9667\n5543 9799\n4549 7690\n604 4360\n576 8560\n4616 6064\n57 5661\n3684 5280\n2178 3161\n3432 10015\n2526 3404\n11152 13983\n8229 13334\n1705 14068\n5442 5643\n722 5514\n1448 6408\n438 10904\n5422 14784\n5103 14321\n14 9509\n8376 8869\n7423 10870\n566 11956\n11364 13499\n1186 1287\n4856 10690\n12729 14896\n5507 8269\n6830 13243\n272 14641\n1990 7545\n1398 12309\n7814 13746\n6041 6072\n344 2842\n1658 7841\n8881 11002\n927 14212\n7067 10101\n7502 9386\n5756 10760\n13476 14833\n4901 11628\n7152 15619\n384 3449\n10245 11373\n3985 6992\n7657 13692\n3188 12932\n3050 10914\n2416 3871\n4489 12391\n5611 13275\n2568 3385\n493 10764\n2588 15407\n11981 12750\n12368 14632\n7824 8560\n7847 12802\n1858 6805\n14645 15353\n4972 7417\n5424 12415\n419 14525\n365 2278\n1819 13469\n766 5102\n8109 9556\n3578 7944\n13535 13646\n166 6219\n246 3456\n9515 12815\n2128 2983\n3576 8070\n2219 6891\n6756 7862\n3512 15167\n7396 11516\n4590 10645\n5468 13732\n4605 15205\n1465 14457\n6109 7250\n290 6998\n2016 4595\n6473 7232\n1246 13264\n5428 14799\n2187 8579\n11757 15113\n3706 15076\n9204 10378\n6835 9943\n2687 15039\n10547 11274\n4489 11736\n2905 4452\n3701 12540\n5684 8137\n3126 10322\n5763 12267\n12648 12995\n6301 15652\n620 5654\n5598 8556\n5617 13375\n2953 11409\n3399 5085\n5541 15320\n5883 12048\n1411 5264\n8289 11658\n11618 15310\n11917 13059\n8329 14599\n5470 13900\n13458 15174\n431 1424\n914 14556\n1574 15635\n638 2912\n11607 14757\n6913 13774\n14117 14355\n4193 15311\n907 13028\n3708 4682\n7247 13889\n542 4532\n1844 12912\n3091 9107\n8493 9458\n908 9413\n10816 13705\n9064 10513\n6993 13719\n3614 7276\n5219 12312\n6196 11703\n4428 9010\n4640 14609\n7512 8877\n15052 15341\n9672 10922\n4842 14951\n10963 14543\n7924 8644\n6733 15334\n6567 7086\n9186 13001\n2544 10266\n6592 9573\n421 14757\n9013 10012\n8035 15316\n9354 14070\n11414 15229\n2710 3337\n6744 14310\n1 4123\n10443 11241\n375 5384\n1201 6267\n4008 13484\n2585 10733\n2633 8751\n7062 10587\n11915 15618\n3083 13339\n5945 14526\n12158 15396\n1359 5369\n10106 12885\n4359 12775\n4594 7670\n5817 5949\n5405 7698\n9607 14411\n5670 10636\n4609 5753\n5158 15079\n1121 3134\n8680 12359\n3248 6087\n2564 7719\n7375 10177\n3362 12626\n4732 9480\n5809 6159\n7061 8954\n2095 13784\n1622 7835\n9958 13828\n2876 11918\n4486 6072\n5592 15462\n3452 8042\n10672 15380\n469 11783\n4222 4281\n3354 5743\n10930 13152\n1296 4564\n1083 1756\n4310 5385\n4980 13807\n9852 15472\n9602 15104\n1817 10258\n7429 12937\n9643 12494\n5775 14314\n13545 15245\n818 12498\n2138 2270\n4799 13875\n3685 13250\n2310 3319\n3010 3500\n1041 2493\n5327 5983\n4890 12702\n12264 14404\n1438 3863\n11699 12045\n6903 7847\n1046 10522\n1942 9255\n8957 12585\n9761 15223\n1627 6794\n6118 14631\n1666 12705\n9021 12852\n388 9083\n5355 11624\n10860 10908\n4182 10964\n14278 14284\n12838 14768\n5166 11915\n8859 9863\n13714 15008\n2690 11107\n13399 15257\n11210 15475\n6084 9844\n8698 11788\n924 13931\n10839 13495\n3150 5341\n3289 4385\n3323 9877\n8834 10517\n11565 13730\n5072 6863\n5667 11307\n4029 10291\n8272 15192\n5493 14475\n921 2406\n992 10124\n3033 8397\n2525 14124\n536 14154\n6417 11614\n8802 10164\n11449 11587\n7423 12937\n7552 10730\n5422 6061\n7015 13298\n11326 14661\n11563 11597\n494 4753\n132 6952\n2478 10871\n2358 7897\n1506 7341\n1602 6669\n9778 10478\n3586 7912\n5557 12064\n10471 12925\n349 9311\n3599 4329\n2965 10970\n2495 3759\n219 4571\n3009 10122\n5471 7415\n2973 5130\n4349 6073\n8057 15436\n10386 15438\n9488 11946\n8467 13345\n4084 14526\n6014 8511\n5537 9276\n192 2122\n5973 15613\n2103 11387\n5146 11809\n4167 6424\n5150 13363\n2583 8404\n3585 10193\n1548 6260\n3726 15629\n4962 5923\n3420 8896\n6900 7134\n8460 13199\n1629 6878\n5717 6191\n1059 9740\n2943 6095\n4224 7714\n6099 10827\n2635 12607\n10577 13861\n7921 13402\n573 12831\n12846 13141\n8792 11161\n10050 13720\n6765 14748\n1622 9465\n4769 13396\n3344 5123\n8190 11201\n5103 5457\n2567 7492\n4629 6668\n3454 9748\n443 2403\n13817 14264\n8320 13721\n6763 15328\n5044 7222\n7493 10809\n7329 8515\n54 7753\n852 13594\n5735 10534\n2964 6641\n5310 13350\n5720 15150\n118 2262\n6941 8155\n8466 8857\n6578 8975\n1202 10983\n6332 15146\n8682 15648\n2104 4136\n1234 8997\n10930 12918\n488 2140\n1264 8277\n6992 7214\n3460 10483\n4511 7302\n9244 15619\n8331 10393\n194 8430\n451 2496\n10107 11862\n9957 13533\n691 1287\n409 5379\n3719 10503\n9472 14937\n7612 9570\n11203 11464\n1015 3593\n2770 13913\n3006 8775\n10386 14005\n10601 15622\n2077 15482\n12618 14342\n739 10102\n9427 14707\n483 8634\n5631 12150\n5455 7299\n3979 7701\n10931 11274\n2030 3136\n7198 10972\n1504 12445\n4492 11527\n2190 14144\n5484 8922\n3335 5252\n1283 6512\n1989 12101\n10145 11709\n4681 7648\n4613 13475\n12741 15250\n7253 12538\n12914 15371\n1213 14035\n11672 11867\n1547 13257\n4672 8000\n2163 11540\n5702 14781\n3572 10477\n7390 7695\n5456 5526\n5326 8930\n9338 13620\n3164 10147\n2395 9504\n4151 12014\n3469 15604\n14119 15250\n5732 9388\n2439 14619\n11174 11679\n3483 12425\n5290 9025\n1386 14316\n4405 7065\n726 11718\n8855 13210\n1179 10742\n4726 14814\n2813 3291\n11095 13646\n269 3330\n3987 13902\n6190 15529\n7429 10398\n8326 13647\n5589 11626\n3950 12675\n2355 15341\n6268 13724\n2968 4684\n14473 14825\n140 10835\n5369 14853\n13289 13842\n4153 9090\n8863 13561\n4646 13234\n392 8987\n3549 8179\n7511 13475\n3027 6314\n11576 12648\n3933 13921\n6408 6492\n143 6151\n2456 3650\n6378 8490\n3970 15259\n4598 14073\n5783 9643\n5354 12096\n14 14465\n4714 5957\n2361 13234\n4456 6283\n1413 6036\n5056 11894\n5708 5916\n2875 3805\n1892 4107\n1422 14281\n8045 8875\n10520 10640\n4520 10087\n1073 10521\n2840 10784\n2559 6383\n11 1271\n3700 7357\n1561 4968\n10803 15038\n8185 13930\n8481 11663\n5391 10381\n949 7819\n6645 13852\n7979 11358\n7597 13031\n2578 9813\n2571 14224\n958 3062\n8800 9945\n390 8801\n8511 11284\n8153 9197\n10885 14662\n5636 9970\n2053 2323\n15304 15383\n6084 11771\n1811 3050\n1478 9243\n2359 10378\n7611 8445\n461 12989\n12335 15343\n7610 13708\n6270 8611\n4810 10153\n1191 11903\n5157 11511\n4160 13802\n1358 10272\n9702 15350\n3741 5714\n5531 12298\n4203 12799\n4856 5907\n1785 7186\n12675 13725\n6199 7533\n9632 11212\n6111 10653\n6162 6611\n4758 13332\n5319 9522\n8794 14752\n3123 6721\n4460 8021\n1652 12926\n494 5902\n6574 13639\n10939 11576\n8163 11972\n7219 12218\n3890 10446\n1427 2218\n4472 8856\n4027 6879\n3791 10834\n301 6818\n10586 10769\n1584 11402\n5394 11137\n2179 13741\n8634 11999\n11270 14070\n5097 9841\n2856 11928\n7064 15238\n7296 8549\n4114 6816\n10500 11126\n1456 15039\n7377 12912\n5062 12763\n2569 13059\n11840 14339\n5653 11500\n4963 6306\n2514 5403\n5435 15408\n6016 11213\n1160 6366\n11429 14777\n9018 15016\n6381 11060\n4032 11568\n8347 12696\n1210 5623\n10353 11170\n4844 11984\n3972 9821\n8455 12888\n11654 12648\n5020 5729\n5071 9192\n326 7404\n4162 11345\n56 14769\n1725 1869\n2978 6100\n6059 10939\n575 10327\n12670 15042\n2166 7847\n7778 15213\n1022 6542\n1506 5274\n3501 11879\n6619 10784\n5530 14808\n2326 6971\n4341 8334\n5394 7842\n8758 13250\n5135 12615\n6691 13440\n8336 9685\n11840 15285\n9753 14447\n1936 6760\n1858 1930\n2298 4698\n7958 14749\n4188 13974\n998 12342\n5316 7609\n3885 10016\n4185 12686\n3578 7454\n2670 6697\n937 3146\n1511 10196\n103 3980\n6510 13669\n3580 4511\n8204 9998\n8204 10182\n10844 14119\n3915 7310\n1685 12769\n2740 7161\n6664 8338\n7791 14952\n201 9022\n9503 10052\n5524 6642\n5029 13298\n1072 3159\n2556 3399\n7470 14900\n1101 11094\n10791 14105\n4518 15528\n1340 9411\n8900 14875\n2493 2770\n1779 9095\n1046 6657\n41 15393\n4152 9196\n9749 14112\n3841 13432\n2523 7897\n11842 12114\n7844 14919\n7997 10287\n1781 2404\n1804 2691\n3819 8334\n10504 14573\n3254 3619\n4942 9719\n6538 7788\n7178 7691\n8577 11196\n2989 14068\n6406 12892\n1998 7133\n12181 13870\n10105 12470\n7042 14457\n4479 7228\n2981 11891\n9148 15256\n6296 7904\n7327 11454\n12018 15439\n544 8580\n2370 11732\n12286 15310\n3977 6058\n2189 11532\n7273 11665\n596 6562\n1617 12945\n8281 13508\n7922 12011\n4022 5165\n10896 12560\n2475 3844\n5331 13799\n4197 15564\n4329 8503\n720 7947\n11807 12994\n7936 11032\n9592 10135\n5881 8319\n3961 15094\n637 3170\n701 6646\n4699 7963\n3064 14966\n2394 13068\n4701 9523\n808 15617\n8326 9089\n7147 9499\n9205 11051\n7603 9131\n2632 6360\n7958 15651\n3581 13959\n1158 13091\n10784 14561\n3322 12822\n3856 11009\n7529 14510\n1969 9030\n2113 5400\n493 11063\n3116 4549\n1535 7488\n2881 3987\n6128 9126\n3680 12187\n6842 12331\n608 14720\n507 12155\n2604 12026\n11036 12146\n8159 11633\n1440 10689\n5841 6834\n1754 7233\n4371 13006\n437 9850\n2281 5069\n3730 14585\n1936 11920\n8319 15433\n4951 5532\n1110 15256\n8179 13561\n9970 14114\n2090 9852\n7128 11424\n607 7346\n8213 10713\n8546 13743\n11161 11654\n1002 9871\n8035 9642\n694 3590\n7508 11142\n12918 15280\n726 10120\n2324 10490\n9545 12457\n6774 8517\n411 11162\n9054 14800\n7758 12433\n1542 2286\n6886 13702\n1371 13865\n6658 9712\n4590 12401\n7818 15355\n7491 9093\n6154 10740\n429 10066\n11982 12525\n88 6366\n1113 10765\n6490 9765\n9258 14862\n7515 9346\n14321 14708\n5420 12964\n4760 10678\n2254 10405\n3432 13002\n4121 9381\n4757 14705\n3210 8838\n5980 11441\n3064 5693\n229 5463\n1977 7530\n2526 15617\n2889 5695\n2014 4155\n348 1358\n7809 12843\n2523 9872\n3415 9352\n438 6396\n1425 5643\n9452 10615\n7939 8373\n5335 14525\n2259 12351\n3631 15573\n289 10966\n3855 8150\n8623 12624\n12831 14080\n1504 15635\n5798 8500\n9478 10063\n6437 6783\n7358 14129\n8290 9193\n2126 5929\n12601 14555\n10975 11519\n1568 7163\n10941 14300\n10079 14839\n8645 14046\n6514 15160\n7659 12365\n135 9946\n2291 3970\n6117 11841\n3223 5551\n10322 13798\n10363 10798\n3224 14238\n2175 13060\n753 10349\n4999 5071\n1883 8908\n1084 3629\n8751 12973\n2785 8056\n10518 14916\n1430 13495\n1737 6566\n1686 13565\n1081 3723\n10785 15499\n4403 10527\n3129 9308\n6833 8312\n731 7488\n7066 14750\n3838 14633\n3510 9088\n325 7651\n1153 2892\n391 14960\n9911 12333\n9182 12185\n9001 13094\n6911 14072\n2476 9744\n3111 7470\n3939 4077\n13092 14100\n2113 8310\n1075 15580\n20 8367\n4553 9614\n660 7793\n5042 7573\n45 13062\n3149 11529\n10952 11655\n2847 12145\n6338 9036\n1956 10655\n11073 15346\n14392 14714\n11819 12500\n766 5665\n4353 8780\n2412 10568\n570 13424\n12878 14923\n4484 12579\n7891 11975\n4236 4271\n6018 13287\n3103 3840\n6595 9994\n3294 9999\n610 8719\n4018 6635\n8580 15335\n4859 12761\n10236 10281\n7792 12089\n3554 13880\n4482 9742\n525 9432\n10800 13742\n6934 11055\n10534 13644\n7306 8684\n5036 6884\n7883 11068\n6041 13815\n3521 6317\n5359 12041\n6700 13749\n7988 12134\n3844 5818\n4737 7614\n7621 8320\n12675 12878\n8462 9937\n5209 8190\n1424 1492\n10132 13757\n1056 13636\n1420 7457\n2984 8779\n9409 12186\n337 9135\n7085 8234\n7938 10228\n770 4882\n849 7669\n11317 11776\n2099 2501\n904 8830\n8934 12525\n7548 11862\n19 3433\n7679 15358\n3001 4957\n3766 5897\n5676 7001\n5559 12733\n6714 15223\n8073 13613\n7252 14580\n7707 9273\n1688 12121\n3746 9658\n2371 12906\n7958 9429\n5195 5999\n3973 6926\n2540 10849\n6791 10709\n11808 14926\n139 7062\n6306 8641\n7246 14634\n7428 15378\n4158 15125\n7034 12146\n7313 13783\n121 11164\n5762 7025\n1763 3423\n14535 15024\n11484 12859\n7 4274\n1038 6017\n7200 11947\n3158 14489\n9327 14251\n9058 10795\n6125 11288\n2418 10823\n104 6187\n12303 15286\n5190 5538\n10607 14784\n10931 11618\n4661 11049\n1305 12289\n584 10281\n7166 11539\n815 1493\n3863 4173\n1417 10415\n9880 14787\n4967 5856\n510 14502\n6625 8467\n8282 15606\n4965 6819\n1429 11705\n2918 12221\n6578 12129\n1281 13099\n3794 11957\n3959 11273\n2526 13702\n9074 12273\n4400 5655\n9088 14710\n5575 13731\n4100 12006\n1429 5102\n2929 8605\n1425 12961\n5382 9626\n2951 4673\n2833 7418\n5762 10711\n7569 10154\n1754 13990\n5737 8108\n1103 5518\n4396 14233\n3349 9349\n5789 14505\n10832 15632\n11045 13986\n71 11049\n6600 8452\n3260 11510\n13097 15489\n4649 11357\n4878 9362\n7566 7704\n6961 7504\n7663 13515\n3022 15131\n9818 15015\n5391 13024\n2068 10199\n5532 8688\n8686 14505\n1785 13082\n7558 10990\n8970 11152\n13397 13459\n112 8420\n9630 14006\n1101 14554\n5485 9567\n1812 2942\n4069 15324\n860 2308\n5933 12338\n8256 9335\n4497 15119\n47 13946\n6724 9777\n6776 6889\n754 15175\n30 4743\n13215 13935\n7475 7933\n7871 12189\n4183 11812\n1499 5048\n5965 14796\n3811 10767\n1140 3647\n3957 12745\n7998 15162\n2842 10535\n2118 3699\n2714 13461\n4173 12007\n2720 12348\n4404 7454\n1235 10652\n6528 9499\n5256 7988\n4153 5927\n4972 6230\n52 2969\n869 7067\n1219 13071\n1888 7141\n9264 11615\n806 4983\n4104 14035\n5713 7151\n1332 2831\n13969 14843\n11568 12470\n7283 8061\n815 8561\n6811 10771\n6128 8087\n2084 10509\n2352 9978\n4365 6118\n4904 7775\n7275 10814\n9927 13705\n4651 9580\n12062 14249\n3566 9036\n3154 12483\n6252 9063\n5002 8057\n8372 9459\n2980 15375\n3043 7068\n3024 12677\n3679 14574\n3545 14335\n9544 11986\n47 2357\n12228 13497\n17 194\n8451 9482\n4549 11155\n6760 9988\n1919 14296\n7223 9732\n7893 10940\n2010 11049\n8616 11202\n6876 12223\n4483 14115\n5230 6261\n4731 5082\n11906 12725\n7915 11313\n2470 8462\n2519 4792\n3712 13476\n312 9144\n3975 5394\n6558 11079\n148 8413\n6105 12333\n192 11893\n3928 4809\n2496 15101\n4158 11067\n14510 14532\n3833 4570\n11422 14613\n2959 12208\n7212 7689\n3889 12577\n629 13595\n3659 11480\n11531 14068\n838 10008\n1873 10213\n765 4393\n7844 12886\n3415 13221\n3545 7699\n1225 2514\n1241 5935\n3839 6746\n3123 10626\n6712 14395\n890 8327\n2776 15032\n3543 10866\n3187 14474\n326 11996\n7341 12146\n2932 15105\n10810 10837\n1244 3991\n3482 12032\n6031 11791\n2166 6508\n12998 13268\n3094 15265\n3269 10619\n11648 15471\n5097 10473\n6932 10292\n9364 10121\n6231 8850\n7307 9241\n2369 7478\n14501 14927\n2337 15124\n2232 6288\n4972 10146\n9196 11359\n1390 15627\n10341 14863\n3900 13521\n10607 12928\n1661 4906\n1347 15470\n2919 6696\n2291 6611\n607 11642\n2756 7919\n10510 12214\n1355 12894\n810 3729\n8639 13212\n1200 3312\n3648 10277\n4248 8222\n1433 12060\n6138 9372\n2482 13588\n10935 12168\n1203 13477\n2143 2856\n1070 6828\n5214 15592\n10839 11777\n3218 11231\n6761 15415\n239 7847\n655 5227\n10635 11466\n5074 8060\n2106 11207\n8998 9336\n77 327\n1684 9020\n3145 8040\n10345 11051\n6582 15530\n7152 7389\n9687 11985\n1310 12798\n6204 11259\n730 1015\n221 2187\n455 4490\n3180 10973\n3834 5301\n3207 14911\n1585 7189\n2932 9212\n6057 15494\n679 10511\n5131 5935\n4994 14916\n6705 11938\n70 3570\n10249 15073\n11018 11052\n551 13105\n7339 8559\n2917 9927\n11248 12778\n6810 13855\n10637 13226\n5019 7709\n4548 12228\n1002 1246\n896 4609\n4841 12073\n8340 13848\n6862 10377\n1829 7725\n9634 10674\n7055 14753\n4386 10119\n6628 12189\n3878 4721\n3958 12638\n2832 10784\n5279 10584\n3724 8674\n8100 12695\n1094 3299\n13848 14651\n2095 8829\n8440 11551\n14728 14804\n9660 13613\n2693 6195\n205 3851\n7571 10019\n4230 8273\n1200 8157\n13 8441\n4163 11587\n5084 13893\n5681 11334\n9577 13992\n6967 13806\n10857 11861\n1039 1271\n3725 7998\n2456 12860\n6261 13671\n7449 10543\n307 13367\n4838 11489\n3617 3812\n13340 14749\n7007 13372\n7729 9711\n1685 12270\n10703 12804\n11313 13408\n5203 11117\n7901 14564\n1102 8401\n465 8469\n1907 8055\n1163 14663\n1233 13522\n11898 14130\n426 11056\n8012 11527\n2090 14292\n2065 9755\n2620 11513\n11499 11921\n2322 7365\n11893 12355\n9386 10153\n3346 14211\n14550 15581\n14057 14571\n953 10458\n6323 15204\n2840 7203\n14243 15009\n1585 13367\n6921 10289\n4848 6363\n2928 6286\n2792 3349\n5117 13991\n2237 11985\n728 8043\n1945 12580\n13891 14760\n1687 2729\n6782 15587\n4589 12265\n5433 14204\n4340 8031\n5176 11818\n4896 10307\n1712 7843\n6886 10038\n2447 3871\n92 9019\n1316 10328\n3016 6313\n12471 14348\n3437 13805\n6791 7818\n3047 6096\n3903 13269\n7524 13323\n6124 8742\n4471 12937\n6426 6652\n8397 13856\n7322 13677\n4379 12815\n6529 14813\n1840 8961\n6810 15168\n11380 12934\n7015 9396\n2674 5068\n9779 12599\n2686 10528\n4582 8549\n7257 8907\n1886 9491\n5638 6166\n8906 10502\n4685 14362\n4544 6971\n12088 14082\n236 12537\n3472 12271\n8481 11338\n8924 14325\n3366 7803\n12879 15411\n5609 8596\n10783 13916\n3044 12363\n713 3271\n2901 11132\n7670 12618\n3913 6142\n7213 7443\n3051 10344\n12625 14205\n7973 8176\n4661 13965\n538 15454\n8067 10884\n10247 11932\n6236 15354\n53 4009\n1662 7543\n4285 4478\n5640 7901\n3881 9731\n2771 8288\n3965 8564\n2351 8122\n2586 6230\n3306 6242\n1573 2855\n2946 9204\n926 12201\n5530 9782\n4736 6575\n225 2788\n1144 6521\n8977 15246\n9303 15434\n2488 2811\n3676 7114\n2458 3342\n5415 10612\n9442 15158\n8726 13131\n4105 11019\n4364 13496\n2693 5991\n6197 14665\n8125 13205\n1668 11308\n9582 13289\n2909 5161\n5844 10622\n11190 13968\n5948 12340\n7375 8965\n13446 14425\n1546 4964\n10517 14698\n1130 14717\n2985 13613\n9719 15144\n8957 10074\n14839 15404\n4923 6321\n341 9778\n1029 11172\n712 11223\n1026 4745\n5957 13683\n7708 11161\n11401 11648\n12543 13475\n11032 14386\n5001 10260\n2234 13807\n9497 12364\n7671 9361\n1440 12212\n11028 12660\n1000 5885\n13842 14600\n4923 13264\n5314 14257\n5714 13669\n11572 12286\n5044 6738\n1634 9340\n12556 14267\n1994 12538\n1042 7640\n8032 13369\n3104 10105\n3070 15379\n1907 5080\n1788 2925\n11411 13402\n5721 9179\n1929 5263\n4362 13938\n2547 9592\n10282 12428\n293 15621\n14642 15279\n10242 13319\n9679 15608\n8454 11036\n154 12936\n887 4237\n5370 10895\n7156 10321\n526 7578\n9168 11341\n3701 5336\n2852 7241\n3119 14986\n10831 15269\n10039 14885\n8434 14844\n225 9661\n4984 13848\n1304 8114\n14677 14853\n2799 3783\n2138 13818\n3603 7257\n6909 10826\n5188 15621\n5934 7073\n1734 8813\n8488 12454\n2572 9746\n3471 9303\n2434 11631\n4826 10709\n4787 7745\n5616 8245\n8853 13813\n2373 5445\n5453 12147\n832 15172\n5418 6008\n13081 14191\n5035 13708\n13490 14119\n1917 9116\n197 6122\n1251 11840\n7482 10156\n1241 7776\n5479 15102\n7644 9163\n4995 8547\n3961 10407\n8071 8364\n6679 9810\n3089 9434\n4515 11850\n4704 9099\n4815 12782\n10261 13384\n8213 9070\n2284 11007\n8724 10853\n7002 7560\n2771 7534\n5962 13846\n3177 4622\n4317 7520\n9000 12893\n2389 11467\n635 12087\n449 13049\n3293 6226\n7305 15278\n12985 13393\n1806 11559\n2367 3644\n4292 13508\n3529 15341\n6424 13237\n884 7474\n9458 9656\n1120 1985\n928 5160\n3899 10176\n9038 10969\n864 14814\n9130 12786\n7657 12178\n1714 8509\n2785 10476\n10 4014\n11020 13074\n4482 11616\n3702 13785\n11555 13582\n12004 12426\n6019 9916\n6376 12089\n3137 8765\n12144 15201\n1310 5333\n1302 7061\n6155 8234\n6940 10545\n2809 12737\n14503 15366\n8108 8201\n4935 10395\n6728 10335\n1291 5127\n4121 7836\n9931 12526\n2232 5603\n6738 10599\n7577 14319\n9684 9937\n3104 5856\n448 14418\n3558 11457\n5657 12884\n1557 10885\n689 3296\n12187 15432\n11520 12441\n3992 9416\n3144 7580\n3366 11787\n317 7579\n4895 14851\n36 11341\n2234 10631\n8975 9490\n3413 13000\n1823 6996\n6838 8899\n1839 7646\n14711 15242\n6296 13143\n3876 6407\n13971 15302\n5970 10336\n237 13458\n7549 9849\n1449 12761\n6058 14133\n9863 11040\n11755 13537\n2071 11440\n5860 14614\n4845 11985\n16 8468\n5156 15230\n32 10210\n8477 11184\n11464 13679\n5175 13977\n2104 3256\n8101 8513\n2146 4263\n14083 15197\n917 4190\n2070 4942\n831 12069\n9597 15135\n12571 13193\n9770 13569\n4513 10020\n7831 14161\n1527 2035\n7590 12301\n1596 1915\n1147 12430\n2635 7016\n3246 9574\n7349 13187\n3538 10984\n11770 11966\n2708 11478\n1129 6728\n3230 4592\n3467 14950\n3233 4717\n5082 9790\n12863 14848\n405 15593\n6979 8284\n1235 14167\n12250 14886\n1744 1950\n8300 14098\n8079 13961\n1806 9416\n4701 9490\n5492 9621\n3329 7049\n6620 11412\n4879 6204\n7733 12668\n3220 14661\n1939 6582\n5173 5961\n5360 14949\n6289 12866\n4835 5811\n6675 10306\n6288 11497\n977 13858\n11367 12156\n4974 10310\n4967 7034\n3689 5137\n6959 15362\n870 1989\n3124 5562\n10236 11340\n7959 14041\n1584 3574\n2576 7601\n535 8424\n13195 14130\n962 2232\n8681 11363\n9438 14065\n9510 13611\n3283 10487\n4977 11462\n7843 9253\n6325 15206\n5485 15613\n5767 12014\n7132 10135\n8717 14678\n1936 3428\n8559 11517\n7700 10943\n507 15438\n213 1723\n7179 14866\n10323 11280\n12174 14205\n9048 10865\n3332 6878\n5840 8723\n2397 13109\n1954 14717\n9104 15375\n9059 13570\n10555 14916\n7291 8123\n646 4551\n5331 5630\n7557 9105\n3124 5695\n11053 12771\n10977 14386\n7713 8482\n7746 14571\n6066 15244\n4024 12274\n6484 14195\n5968 12827\n8118 14021\n833 6446\n13040 14517\n9136 9335\n10149 10417\n3177 7217\n10573 12137\n7505 9380\n6681 10155\n6853 8452\n8969 13131\n1805 14133\n3924 12970\n11965 13129\n7673 10563\n3397 10382\n1332 1929\n8925 10859\n210 5728\n4760 14619\n4516 6426\n2624 12139\n6217 9438\n4050 10154\n1905 12185\n9411 14339\n12570 14007\n5718 10595\n6161 10015\n7054 10539\n9182 14364\n5047 14849\n5322 8149\n2491 5823\n7867 11342\n9833 14754\n6436 8428\n45 8716\n1945 11435\n1846 9655\n3903 5206\n3431 13508\n8017 9915\n2107 6894\n14402 14976\n9403 13431\n6794 13233\n4611 8214\n7532 8895\n7184 12709\n907 12723\n1253 4592\n7425 8019\n655 3645\n2379 14320\n1871 12711\n2216 9519\n12239 13770\n10032 15005\n966 8750\n1464 12036\n8451 12793\n2063 5957\n4869 11643\n11662 13927\n7035 12210\n4855 12181\n7033 11854\n8906 13783\n157 1383\n3573 12560\n9942 10302\n3169 12118\n9056 12057\n1498 4425\n4498 4996\n5774 9509\n8122 8603\n2202 12030\n9080 9223\n1117 8545\n202 7013\n2108 8910\n6321 6811\n4267 11551\n1571 11433\n3223 14539\n8823 12979\n4669 7349\n11217 12298\n491 9214\n11186 15462\n8907 14041\n10575 12711\n4496 12251\n478 8798\n318 8107\n4410 5288\n5930 15589\n7286 15508\n1210 5033\n3243 7589\n5257 10202\n4558 9521\n12550 13713\n5373 13035\n6195 13526\n6925 9280\n9672 11803\n12766 12919\n1221 10085\n1409 14942\n2933 13616\n10324 11728\n4498 11849\n3927 6728\n8995 15043\n10613 12215\n3896 9938\n3589 5941\n5156 5892\n6116 6774\n4680 7494\n11605 12542\n6900 12533\n7892 14936\n12647 15155\n348 11166\n4177 5259\n6768 11232\n143 3938\n5203 13981\n7149 10750\n7026 14218\n10334 13137\n3299 4088\n424 13681\n10912 14573\n7433 13445\n4567 6105\n6265 12394\n3714 4561\n13900 15657\n1664 5192\n5379 13174\n5188 6377\n8102 12236\n4855 14355\n4911 6557\n8670 13603\n2991 8587\n8821 8833\n2747 8171\n5800 11021\n6154 9117\n5335 8212\n1139 1371\n6004 9104\n9244 9667\n2705 4128\n5946 13680\n1820 15244\n1755 15518\n13163 13981\n1957 11748\n315 2733\n9082 9336\n4329 4956\n5581 13856\n3061 10225\n2976 11858\n12681 15197\n6587 15084\n11646 13817\n6497 7992\n6106 9742\n5324 13706\n9409 14855\n7367 10205\n2023 12223\n3582 12044\n9289 14519\n1825 10077\n11712 12359\n3205 15048\n13989 14759\n2043 15434\n12766 13185\n11266 14932\n577 1187\n4986 14505\n4900 7403\n1313 11728\n1138 4306\n11297 15052\n5814 6807\n1716 8959\n9439 14770\n1473 7739\n10506 15266\n8776 11058\n6900 13137\n10337 11044\n9534 12024\n4065 9132\n6989 13086\n2537 4268\n683 13732\n3742 11149\n1281 15495\n6706 11522\n8976 12623\n6715 12937\n9046 13184\n3645 3678\n364 13645\n12412 12587\n7657 13545\n12895 15633\n12182 12531\n3320 15054\n7967 13102\n5997 13518\n6794 6811\n14283 14470\n1559 5091\n8354 9526\n3061 5418\n1771 11444\n2049 11587\n4553 6448\n2844 5438\n4024 9259\n11415 15172\n5847 10775\n7739 13049\n4925 10092\n10191 13720\n4144 10408\n10047 14908\n13803 14721\n5954 9389\n3012 11625\n3868 5345\n5484 12909\n1917 11780\n3794 6648\n13548 15266\n1427 8966\n753 3262\n8277 12617\n11691 13866\n1033 10973\n11418 11815\n6663 11431\n10295 12091\n6448 12294\n3035 11819\n1036 6744\n5484 12103\n2461 2912\n9139 15454\n5518 11307\n282 14157\n2875 14260\n2671 2734\n2133 13502\n2423 14637\n4096 14655\n352 13071\n10012 14470\n11136 13810\n9845 10319\n14414 14795\n10961 12589\n5019 7205\n11587 13228\n974 12545\n1189 5650\n5828 6028\n8503 14828\n1207 4955\n4349 9321\n2306 4983\n7392 9764\n10143 15449\n5991 6260\n864 7827\n4880 12154\n2580 6833\n2505 3129\n9020 12978\n9426 10791\n6917 7651\n1904 11371\n8931 10821\n3594 14828\n15020 15640\n1343 9613\n13308 13517\n5196 11498\n9561 10341\n2155 8790\n1611 4438\n4305 7052\n6658 11658\n9086 11031\n2129 14657\n3050 9879\n13704 14396\n6603 12071\n7600 11095\n12546 12602\n20 12334\n14817 15127\n9824 15404\n12744 14145\n3442 12609\n2571 3589\n2428 8571\n104 14892\n4415 13385\n2801 8449\n4416 14428\n377 8059\n14864 15645\n12557 14484\n12084 14455\n9209 12438\n4597 7409\n1756 4299\n8109 13269\n3160 12949\n6993 14782\n8513 8654\n1968 3591\n1666 12620\n5628 10777\n608 5846\n3789 11293\n2160 6543\n11943 14728\n12296 14207\n702 14285\n12358 12546\n2904 14573\n7885 10806\n4168 11430\n4865 13827\n9362 14286\n4231 12747\n8836 9569\n14046 14586\n698 2502\n363 516\n6201 11678\n1513 14604\n2181 10622\n1920 7780\n3068 9657\n2586 9597\n3704 7701\n2584 9212\n3196 11843\n1842 2156\n8995 10264\n3908 4282\n8517 9494\n11536 13946\n13462 14727\n8012 15017\n181 7707\n2064 11734\n7529 14487\n2082 8037\n2413 4461\n12590 14583\n4684 9765\n3108 10527\n8054 15617\n9159 11216\n650 3941\n4784 5184\n8004 9881\n6717 7138\n1033 12890\n2482 6495\n1198 6979\n10389 14686\n664 2069\n9 11582\n3033 11405\n6705 8390\n12659 14884\n12583 14161\n764 11987\n473 5709\n10956 14074\n7169 9139\n6948 14893\n4271 11749\n7517 12095\n4261 12060\n3683 15113\n1527 9470\n9056 10255\n193 6485\n8572 14348\n10258 14631\n4845 10114\n5839 13532\n4094 12201\n8390 9546\n9380 14865\n3058 9658\n2639 10377\n225 13106\n5616 11253\n12164 13374\n11227 15305\n2908 3053\n4393 15286\n10398 13258\n1719 13999\n4672 15424\n12890 15267\n4037 14729\n9125 11092\n12846 13229\n2906 6081\n5698 15187\n9467 13250\n883 1084\n2266 9570\n10001 10258\n5015 6137\n10825 11417\n7218 12029\n10443 15469\n95 4589\n1665 3787\n2033 5528\n10617 14453\n1804 10250\n9969 14680\n2413 2499\n3893 12630\n1216 14338\n7028 15523\n3156 4508\n5281 12893\n2436 4182\n4991 14605\n503 10687\n2477 13089\n1648 12924\n5086 8748\n8599 10891\n2292 8772\n1260 2125\n4022 5502\n6543 15089\n2934 4061\n298 14449\n4751 14916\n4258 14720\n10093 10837\n4981 7664\n3021 14162\n815 1693\n5939 6160\n10752 15107\n2539 13931\n10397 13846\n3153 9678\n8922 9560\n7169 10237\n477 796\n11 3059\n224 2399\n7673 15326\n7162 15032\n1212 8314\n3518 4769\n1386 6327\n3559 10686\n889 7500\n3713 12171\n13340 14310\n9889 12680\n1301 11082\n535 10651\n1141 13457\n7393 12031\n1240 6052\n10281 15543\n6441 15184\n6064 12893\n8787 13702\n646 14917\n3031 12594\n2930 8260\n5321 12153\n812 4541\n6497 15514\n3920 12063\n13157 14735\n9427 15191\n1447 13415\n5318 10250\n7321 11637\n7691 7930\n3136 13884\n437 1395\n3614 6392\n4221 10410\n8704 11137\n2351 3416\n1899 13026\n2526 8023\n3739 8875\n15270 15461\n1082 1615\n6198 9493\n8159 10567\n11057 15267\n2449 11427\n8865 12793\n5716 14506\n302 1280\n1580 13706\n3012 3926\n963 5157\n9052 12933\n1083 4904\n7865 11823\n6771 12630\n2142 13695\n5335 8874\n2742 13359\n6856 14515\n1942 5402\n7918 8717\n906 15238\n5956 10072\n6140 13302\n14918 15110\n2829 10437\n4981 8492\n5171 10270\n3450 12459\n9780 12903\n1395 12047\n598 6969\n6199 6649\n2131 4372\n6540 11459\n1373 4926\n4491 6033\n11299 12516\n4202 15140\n9836 11968\n4109 9214\n8751 13795\n4734 5440\n5964 13272\n15040 15656\n3880 4362\n1655 10054\n7295 8318\n58 11899\n13131 14727\n12143 13676\n1156 14171\n2283 8233\n4688 15579\n13086 14980\n4841 5674\n2077 14952\n9506 10736\n4247 6798\n11568 14623\n4307 10868\n4199 14659\n7655 12039\n8207 11723\n6319 11060\n6388 11441\n4731 10156\n1200 4860\n9688 14321\n8995 10849\n7832 13502\n3496 9031\n3722 10047\n5837 11905\n1876 5835\n6493 11560\n377 9815\n5408 9108\n2846 11517\n1974 9194\n928 9031\n1453 13311\n8021 8260\n740 4212\n3252 6166\n5570 6646\n5004 6011\n3576 7120\n6813 9080\n8143 11190\n6060 6325\n484 11526\n13381 14838\n7270 13561\n1658 13099\n598 12000\n2150 9798\n9370 14947\n10054 15462\n7725 10870\n7174 11564\n2852 8136\n198 8442\n12151 13518\n10092 11587\n773 4098\n3431 12500\n5201 12249\n8810 11263\n4373 7571\n966 9761\n5444 6236\n9107 15080\n2704 5074\n1457 5450\n4846 13485\n381 8559\n6360 15197\n195 1048\n8854 10721\n10512 14861\n85 7780\n281 11714\n8447 14594\n14530 14783\n9258 10602\n2760 14271\n12703 13730\n7425 7741\n4877 11726\n3298 3854\n3425 8684\n12240 15390\n1118 10270\n1091 14758\n7605 12677\n7149 10933\n1270 12222\n10518 13109\n3995 10011\n7291 12157\n11088 15426\n11622 14361\n2083 3281\n1034 6184\n6605 14829\n7193 10425\n2946 6969\n4000 13532\n4264 7737\n2584 13023\n2904 8887\n3782 11939\n13011 14485\n2423 10086\n1218 13396\n1674 8299\n501 7361\n122 15183\n8579 11855\n10642 14542\n2275 9681\n11897 13333\n5613 9410\n5205 9834\n738 14403\n7371 15473\n5461 12330\n1610 14556\n318 6483\n541 13336\n6314 13809\n3480 7354\n273 2721\n9161 11234\n6822 12237\n2078 11729\n2100 13543\n9734 12121\n1188 5022\n1152 8507\n5192 11717\n7136 13592\n762 8657\n1245 2210\n8562 13566\n4231 11999\n14029 15152\n12818 13707\n8289 14550\n1816 7144\n460 5037\n101 4198\n9444 10206\n11127 13044\n12500 14201\n6708 7106\n43 9565\n7990 11480\n5754 6590\n4862 6213\n6881 7273\n278 7457\n134 13252\n1583 8283\n14619 15346\n1859 2795\n1600 9061\n5714 10979\n9959 13605\n64 4939\n4561 5931\n6021 6716\n5994 11441\n6 161\n3002 13655\n283 1945\n3660 7771\n6274 13618\n3840 14073\n6329 13991\n1467 3941\n3577 8524\n670 14203\n10707 11619\n7873 12099\n560 5531\n2518 9781\n1198 8938\n5201 13741\n11859 15518\n2250 11400\n2714 5078\n1339 14735\n7195 13208\n8291 15204\n10778 12869\n5671 12922\n1492 14582\n5235 12094\n8380 15085\n997 5528\n10029 10418\n5400 6904\n7433 15511\n4482 10553\n7412 9137\n13321 13347\n6836 11307\n5690 10171\n802 14796\n8858 10447\n8122 11739\n9439 11341\n808 7715\n2744 10216\n5871 8490\n5887 13034\n4746 14647\n4482 12611\n6609 14247\n2414 13686\n10567 13459\n2859 8190\n768 4958\n6162 14818\n1845 6613\n8880 14626\n10481 13116\n13790 14079\n5497 10361\n5617 9574\n13569 15613\n7932 14904\n12944 13976\n5477 5834\n1784 2892\n3314 15618\n3207 3903\n1625 3033\n2059 4813\n10300 12915\n1146 6674\n2075 8496\n6067 14683\n4634 10560\n4007 6144\n5858 8375\n7472 14226\n10287 11872\n9920 10850\n1802 11321\n4831 9724\n7271 7839\n7435 10605\n3582 5456\n3616 6152\n8429 10571\n8526 9676\n6382 7585\n8754 9154\n14385 15395\n2018 5530\n10011 13717\n3504 14256\n7907 8517\n1111 1739\n11282 13978\n4389 7337\n6713 9095\n1568 5585\n9730 14546\n3499 15224\n1116 2296\n4823 12308\n2364 5983\n8215 15017\n639 6750\n732 3264\n14673 14909\n4765 6115\n2147 11045\n4291 4717\n663 12559\n2044 5383\n1061 2313\n3675 9386\n4580 9112\n7613 15494\n10906 14910\n4880 5230\n361 1453\n1502 9812\n3858 12723\n3808 8318\n9497 14460\n9890 14341\n6232 14422\n5885 9821\n4044 6003\n1648 5182\n4525 10338\n1121 6141\n4920 10762\n4355 11743\n5718 6868\n949 9875\n12426 14477\n3035 9205\n7198 7545\n3101 7620\n7539 10539\n996 2507\n3322 11967\n2264 2492\n2462 11292\n10330 11054\n9661 12821\n1357 14283\n11241 13905\n12689 13892\n12123 14385\n1835 2129\n2009 4199\n9903 11924\n10002 13456\n1137 9084\n2961 6793\n1608 6206\n1301 14471\n565 1659\n3399 3505\n9468 10317\n11629 13159\n6215 11097\n8407 12605\n2063 8025\n60 14139\n2904 10264\n3878 15636\n13002 13049\n6117 11246\n5459 6391\n4915 14436\n667 1357\n7869 8875\n524 5211\n297 2485\n4022 9859\n2322 15035\n8748 13758\n1789 14361\n7654 10821\n11108 12635\n6007 8760\n4121 5882\n245 2665\n4102 14021\n6319 9112\n8878 10101\n3061 10887\n2166 14261\n8191 13627\n5381 14701\n2334 2947\n14447 15241\n5934 11726\n3968 12165\n2862 8161\n2153 3497\n2231 7524\n11787 13449\n496 6928\n704 6862\n3095 14720\n2565 11714\n6540 12130\n2455 12994\n2284 13896\n3167 15180\n1843 13551\n6839 13385\n1464 4705\n3086 12787\n10480 10848\n1724 6795\n5560 7695\n11915 14091\n6767 11379\n307 1427\n5579 6393\n3923 10249\n6206 10286\n6186 10143\n10309 13773\n502 6188\n1352 4510\n5860 11531\n4007 10183\n3420 12542\n4665 9498\n830 908\n2785 3934\n1387 4281\n2145 2189\n484 7615\n4059 15575\n4949 12766\n2904 14049\n3319 5966\n3124 7190\n5438 8599\n692 9556\n2032 5123\n11790 14206\n9523 12091\n1058 10352\n4145 7442\n4350 8909\n113 1984\n12999 13318\n3565 14515\n2468 14056\n1474 7982\n1703 4181\n6391 14578\n13723 15019\n8291 8796\n11310 13131\n4338 7411\n2696 6246\n825 14392\n8045 10920\n4408 11694\n8594 10348\n1503 13116\n11028 13283\n2774 10655\n8241 11702\n2443 3720\n11789 12620\n4731 8773\n11762 12611\n2315 12041\n1995 6794\n5374 7408\n14997 15588\n2391 15464\n3975 6049\n9123 9795\n8033 8844\n2156 5517\n4807 6962\n2017 12264\n4238 5631\n2942 15179\n2567 12191\n1444 2150\n5982 9284\n3616 4950\n8697 9226\n138 12887\n7063 7564\n7808 14625\n8738 11824\n1426 6259\n7452 11918\n482 4538\n9844 11648\n1509 8935\n814 3234\n10503 10772\n2495 2696\n13168 15344\n184 396\n6102 9809\n7145 9596\n5354 15447\n8315 13787\n10167 13014\n1829 8194\n9821 13317\n8284 15609\n1892 5396\n2065 14128\n1664 11109\n3515 9174\n14477 14766\n4923 6831\n3014 12142\n1261 7584\n937 8152\n1774 5817\n2342 3204\n14540 15344\n7079 11495\n12983 14347\n3887 15619\n828 14827\n3845 5406\n1303 15380\n8774 9114\n12195 13929\n601 4508\n5024 8488\n5881 13623\n6000 11530\n4039 7292\n645 1722\n3774 12045\n704 9842\n11128 11609\n716 5316\n4827 12994\n386 10148\n9504 11911\n4900 9243\n387 11034\n9732 14762\n2337 2610\n3375 11853\n731 11832\n401 6900\n4176 13607\n1418 14693\n4630 13573\n2868 4794\n616 4395\n1984 2707\n14551 15576\n13135 15287\n1951 5068\n2954 8985\n688 14703\n9932 15266\n14733 15383\n9247 10557\n2857 13482\n4181 6597\n2940 4651\n1599 14784\n4041 7089\n271 5216\n5474 12728\n595 10340\n13955 14967\n7314 11329\n1504 6975\n2598 2707\n1631 12828\n11279 11956\n5257 11561\n3165 11083\n4396 4622\n117 6800\n3517 12973\n7129 13691\n6647 9425\n11962 14809\n1630 12710\n10974 15197\n1237 13710\n872 14362\n7365 12351\n5325 14663\n1817 5073\n10176 13041\n5384 14705\n7313 7689\n10319 10478\n168 4645\n2857 4363\n9921 13924\n1631 8645\n13447 15138\n4330 10033\n815 5015\n6087 7668\n8885 13739\n5252 12226\n2444 8598\n3102 14000\n1697 4018\n6517 14153\n8551 11826\n9105 15481\n6438 6939\n5155 14140\n3574 4324\n2808 6359\n1116 9271\n384 6859\n1218 9964\n6223 14129\n1501 5968\n258 9152\n10414 11928\n65 10121\n362 932\n4678 5100\n1926 12279\n5311 8665\n6684 14151\n10071 12282\n384 5640\n1267 13832\n1582 9679\n13849 14293\n1081 1450\n7055 7530\n1499 13613\n7118 11683\n752 2667\n5661 8347\n415 858\n3228 15249\n8131 8299\n270 13830\n3780 10204\n7529 14553\n4784 12828\n2068 15639\n4724 7218\n6174 10278\n8187 11914\n12023 12741\n7011 12845\n723 9961\n6555 11470\n4985 7097\n11765 14564\n1521 6869\n8237 9072\n379 10783\n1485 6363\n7543 9254\n7747 12548\n1518 10920\n5578 8632\n3214 9900\n780 2753\n9420 11590\n4024 12543\n2894 13474\n741 13994\n9114 10143\n9638 14890\n8341 11357\n4129 10654\n4354 11931\n10468 12586\n9059 14652\n7484 13527\n9844 12053\n3857 5520\n1585 9255\n5886 6734\n6758 7446\n7043 13662\n6123 7103\n1574 12070\n1953 14801\n5188 10426\n2764 11826\n7536 12003\n9176 15411\n1495 2807\n7353 14145\n4731 9943\n3453 4758\n80 8905\n3233 6065\n2222 4622\n4098 10887\n5802 8002\n10249 12688\n1078 8955\n13359 14708\n8355 12919\n5352 11060\n286 8072\n1854 14073\n3123 11836\n3191 12015\n6558 14437\n4079 14420\n2031 6599\n5773 11966\n9381 13182\n7640 12629\n3336 14506\n2345 7138\n3718 15581\n5556 15550\n1509 1706\n6853 15030\n13442 15112\n4716 7785\n1151 8316\n6292 6420\n4964 12174\n7124 15506\n1191 7534\n2184 3695\n6193 6626\n6284 7797\n3777 7569\n917 1142\n3607 7325\n767 10382\n6072 14014\n1245 14990\n8172 13525\n9234 13652\n4467 6871\n5668 15611\n3430 5473\n6875 9347\n1495 6915\n12649 14847\n8997 14495\n5717 7905\n2142 2307\n2486 11322\n7513 7716\n2813 4491\n4818 6174\n3504 10942\n6365 10102\n5357 6028\n7135 13548\n2207 12117\n1021 2722\n7686 12699\n1188 12666\n11548 14085\n10607 15012\n4270 11210\n5366 9369\n3298 4317\n8921 14254\n1945 9541\n2287 3866\n13685 14885\n1735 10172\n833 7433\n2236 10337\n125 8801\n6591 14657\n5221 14251\n10185 11257\n1816 12197\n6849 11983\n9277 10746\n6560 14504\n254 7204\n3107 8648\n4630 15338\n917 2910\n12907 15457\n2249 4941\n2206 9824\n2299 4664\n3777 12151\n3621 11069\n4453 11729\n5109 8770\n392 9175\n3328 12454\n9230 11974\n3581 10519\n10054 14136\n10763 15197\n5132 10499\n3174 6910\n2126 15048\n2745 4184\n2559 8710\n5508 12836\n10139 15552\n1694 8988\n3638 9817\n6969 14024\n9239 12295\n9835 15314\n2639 5546\n2593 5968\n9998 13168\n235 2076\n4559 9853\n9683 13783\n5558 11858\n575 13278\n2066 15416\n5510 13728\n13921 14650\n12294 12682\n867 5962\n6084 9045\n8314 12857\n1275 5542\n2090 15312\n4279 8598\n4932 8852\n7578 13133\n4595 8082\n6092 10536\n5243 8249\n4780 12693\n8747 12339\n8356 14119\n6723 8517\n904 6873\n5571 14494\n632 8088\n4969 8185\n6103 6518\n522 5583\n563 14174\n9180 15173\n6277 11464\n439 3763\n14313 14804\n4422 12386\n5573 10886\n7087 12204\n12649 12758\n5568 12794\n2461 9324\n2945 15524\n6157 6572\n2501 10129\n7248 7490\n11074 15457\n2123 12474\n4751 11308\n3894 6358\n363 13488\n5517 15592\n3095 14835\n617 10347\n12449 15004\n6932 7482\n1417 13048\n3163 6396\n7834 9090\n6839 14290\n5380 6427\n3440 7407\n2608 3601\n2705 6252\n9451 10266\n7808 14310\n3425 5481\n20 15408\n4496 4830\n7197 9205\n6920 9885\n297 7090\n8737 14464\n1200 6325\n5854 11201\n370 13386\n5284 9530\n2288 6767\n5153 11815\n1127 13983\n9921 9983\n346 3188\n3098 9064\n8422 11378\n849 10514\n8380 15065\n6366 11514\n7296 8349\n7893 14222\n1033 8965\n5665 11103\n13017 13830\n8310 12806\n8964 15147\n2775 10573\n6095 14103\n9542 14181\n10819 13768\n1099 15280\n4761 13017\n3751 13340\n7304 11249\n11343 14340\n9200 10222\n7108 7544\n1371 1908\n3713 10278\n6210 15435\n3210 10537\n8667 11766\n3018 14296\n3629 14622\n1667 8240\n7315 11724\n8182 11201\n2143 5250\n5729 13935\n7626 13456\n3979 4373\n2895 15638\n1380 7093\n6550 10717\n10230 14943\n249 5487\n5395 15056\n5293 13732\n85 9122\n11594 13138\n5508 13982\n942 1969\n9743 11737\n14465 15108\n4159 14528\n4471 9128\n6058 8963\n5364 6461\n4036 5488\n3156 13558\n6541 8706\n13218 14335\n3506 10542\n8732 13891\n6962 9449\n13268 15306\n13501 13803\n7959 14386\n2221 6887\n3060 7635\n4192 10244\n11452 14402\n4638 8294\n14263 14339\n7942 12713\n70 9929\n7864 12492\n8462 10723\n13115 13340\n2468 13114\n8597 9607\n58 382\n4022 14091\n1298 13835\n2951 10697\n13319 14234\n6277 10802\n8332 15205\n1953 11350\n3394 3642\n8297 8638\n11334 12334\n1301 2884\n6061 6976\n2612 4615\n7120 14550\n10011 13363\n12803 13198\n3842 9345\n13540 14770\n2446 5683\n2807 7643\n7441 13095\n6974 11513\n6587 12297\n3139 10615\n1249 2007\n13109 13334\n2261 12695\n10141 14686\n3585 4883\n9606 11558\n3771 8547\n8329 11318\n1315 5191\n4586 14008\n3306 7157\n6897 11173\n3076 4332\n4201 8106\n3392 9500\n419 2554\n6000 13473\n3253 3476\n273 9770\n4711 11865\n2167 8930\n141 2971\n1714 11315\n1748 13881\n8663 13297\n5748 13992\n10061 11210\n5469 11667\n5851 13188\n1499 7320\n8364 11044\n4167 14993\n7527 13151\n12490 15614\n679 9093\n1456 5301\n12318 14334\n6414 6471\n9923 12408\n1595 14882\n4713 11112\n3404 7602\n1292 8582\n1966 5667\n6095 11731\n3082 12708\n1863 15512\n8510 11984\n571 2670\n6183 13759\n1350 4615\n5906 9068\n3842 8453\n6336 13912\n1764 8492\n11555 12349\n4904 10234\n5029 10618\n7834 12066\n2089 2141\n4694 6983\n3447 7121\n8177 13365\n4655 9733\n3329 4531\n7536 13037\n13006 14007\n4297 5030\n3734 13351\n3447 5517\n279 15537\n12582 15364\n2345 5376\n6837 15069\n1708 9027\n782 2040\n8861 15430\n9158 13190\n4579 9460\n2197 11821\n2921 15143\n4218 5231\n2807 14878\n10595 13776\n10144 13602\n5711 14635\n6195 6984\n11667 12158\n3154 3431\n7971 10103\n8087 12155\n4898 9703\n9208 13351\n149 3098\n5906 15553\n2642 6679\n8278 12288\n8726 9715\n818 974\n10099 14344\n11645 12966\n425 14658\n2782 10969\n7295 7678\n8059 10287\n4396 8956\n7844 9583\n1938 9311\n977 10531\n5597 9341\n5922 15085\n1873 5429\n507 5457\n3356 14994\n8381 13448\n3417 5300\n748 6947\n9947 12840\n365 7695\n4585 12866\n743 7509\n3123 15085\n2891 8460\n323 1162\n5085 8838\n2124 11134\n9663 11180\n1508 9516\n2464 10308\n4617 13908\n10796 14572\n2150 6037\n3200 4159\n6641 11283\n5984 7473\n1519 9595\n6529 10537\n6795 11939\n4195 10927\n2672 13168\n11383 14753\n7749 13957\n6149 13067\n1871 3416\n1073 11526\n7740 13241\n2249 15032\n863 7456\n489 10848\n7460 10091\n6355 12088\n5846 14927\n4010 5610\n4489 6380\n1019 2869\n4682 14476\n5162 6728\n2517 11551\n4117 10992\n7198 13142\n7867 12407\n3242 15062\n10268 13919\n5293 7091\n8315 10555\n1878 5924\n2276 6897\n13807 13878\n3307 13343\n3371 14826\n8576 9679\n1766 11190\n508 15552\n2183 13959\n5179 6659\n5922 6487\n88 2232\n1305 10508\n13926 15569\n3509 8921\n4793 12667\n4253 13081\n682 7175\n4019 15399\n3171 12259\n9155 13594\n1230 6097\n3590 9904\n8250 15087\n1771 15142\n5041 7537\n6962 12354\n3563 5526\n7994 14487\n7338 10617\n7079 8667\n11825 14859\n121 10141\n1526 6853\n706 11279\n10992 13767\n5101 15535\n212 5207\n2799 14284\n3236 7174\n703 7065\n1827 5268\n975 10329\n6900 12419\n6380 11903\n9164 12551\n2244 9244\n565 14650\n12199 15333\n8054 14433\n10905 14369\n1115 6225\n5898 15103\n2430 14684\n11932 13904\n2110 8154\n931 15302\n949 8780\n6362 8755\n10671 13456\n6956 11120\n6372 12981\n5550 12853\n7635 15045\n3377 4226\n1995 9771\n4179 13581\n2373 15256\n4783 8907\n215 4076\n2050 7589\n7114 11944\n8785 15359\n1397 7143\n7727 9261\n4259 11238\n11185 12331\n9495 11325\n3002 14158\n4160 5413\n2597 8148\n2354 13832\n5333 6694\n7014 13131\n8663 11592\n8634 11481\n2044 14110\n7511 9845\n4382 6466\n3581 8925\n12168 12319\n2728 7063\n11996 14945\n5918 9416\n1544 6246\n7746 8890\n5441 13620\n1586 9262\n8801 12655\n13155 13604\n8996 13367\n3879 10210\n11993 13509\n3274 7304\n4952 14690\n5608 6215\n4294 12299\n7346 14497\n5138 12689\n4286 6179\n1727 11802\n2557 7751\n5676 8279\n6131 7711\n3738 7851\n6013 10812\n3659 10520\n4626 10024\n3724 9118\n5984 9995\n2605 3272\n7245 10269\n4435 8928\n2648 7229\n11093 15167\n1140 11338\n743 2047\n6434 7276\n6228 10446\n6900 10253\n2836 11388\n7418 8263\n6594 15035\n1749 15568\n1623 2794\n609 7031\n4708 5768\n2097 11623\n11667 11801\n5203 15188\n11447 12624\n1420 13316\n8540 8840\n1534 6082\n6443 12714\n12718 13389\n5112 9294\n1244 2181\n11995 12459\n5561 10750\n5125 13031\n11005 13870\n13946 14009\n7961 11455\n140 8912\n2230 14072\n11155 14624\n9570 10258\n644 13972\n1455 1496\n1767 8214\n11590 15603\n879 2921\n6021 15359\n10122 11253\n14 10919\n3828 7350\n381 15111\n9821 15181\n13073 13963\n2849 12353\n1677 7338\n4399 12780\n9754 11528\n3318 6964\n11423 14489\n12649 14292\n105 9781\n2710 10713\n2240 3331\n5627 10516\n3489 10995\n10452 12541\n10297 15266\n1385 1485\n1475 14194\n11136 11503\n3362 6192\n2708 4028\n8319 9194\n7656 10634\n10218 15547\n1060 7055\n8259 9357\n2836 11210\n5193 8946\n11007 11119\n7451 14427\n2294 12220\n1362 4594\n3224 8713\n588 4013\n1288 5795\n3452 8567\n315 7359\n757 15359\n4267 11090\n641 12772\n1717 2739\n2966 12109\n2309 10630\n2721 4084\n1723 10490\n612 1537\n9386 15408\n5910 13484\n7032 8709\n3494 8257\n10831 12831\n7113 14274\n12478 15479\n2485 6278\n2503 11688\n1425 7287\n8416 9125\n4730 5125\n3738 14055\n74 2255\n4167 11275\n5509 8658\n7747 11364\n308 6793\n4329 10313\n2064 8384\n185 4134\n5829 13399\n13168 14851\n106 11560\n6869 9857\n252 5665\n5524 13403\n3575 14168\n6319 10243\n6483 9253\n7332 14339\n3671 5070\n3018 7562\n631 4052\n33 15211\n4953 5208\n8825 8853\n739 6952\n6231 14200\n1362 11240\n5464 15479\n2408 12497\n882 11371\n6003 10675\n7235 8865\n9678 13409\n4102 6553\n8084 9904\n2631 11325\n2797 15182\n3217 5304\n11901 15116\n8775 9423\n402 9068\n2788 7695\n1738 9499\n591 14138\n8764 14054\n1343 10134\n1801 7826\n12819 14399\n7195 8055\n1389 13992\n736 3063\n8745 10864\n5167 8094\n2085 5535\n5506 9871\n9028 15575\n7679 13107\n225 13726\n4366 12161\n7472 15341\n666 11380\n490 3406\n1275 14435\n4108 9062\n5729 8401\n1773 14751\n468 11985\n435 14736\n5161 14710\n8793 11328\n2443 12289\n435 7634\n1361 4873\n185 10454\n679 12323\n5437 11367\n7847 10834\n7183 9279\n7580 13034\n3352 3855\n2157 14787\n5397 14274\n1380 10007\n3157 12599\n7406 7562\n199 13825\n12844 15240\n10631 12749\n450 10934\n530 4148\n2444 14062\n4817 13614\n2929 3336\n3902 13395\n7355 8764\n11958 13808\n13317 15537\n9334 14743\n5066 6998\n10185 11536\n1860 2905\n8663 12531\n5230 8907\n10209 14438\n7282 7534\n4857 6191\n11005 14468\n10395 11348\n9993 14903\n683 988\n1606 5481\n1423 3255\n7619 9589\n4825 8855\n9415 13529\n6879 12372\n7280 11224\n599 7423\n13007 15380\n1977 8652\n2726 6380\n4261 9895\n808 6692\n6387 12861\n5946 15435\n7953 10237\n3470 3779\n25 7554\n6020 12377\n1825 15192\n10750 11001\n12017 12246\n5011 8034\n555 1818\n8748 14914\n9109 12419\n2582 9147\n6154 10068\n3606 12652\n3640 12183\n2083 11438\n292 7694\n7996 12126\n2671 14870\n2053 15292\n1172 6729\n4637 7657\n8216 15390\n7864 9522\n2750 3131\n6281 9210\n11858 11859\n823 1335\n4078 9047\n416 15635\n2832 12440\n5216 10057\n5796 12506\n2808 11626\n3980 13170\n9481 12955\n6422 9948\n3195 8766\n12297 12552\n67 4457\n3026 10956\n6961 11741\n3914 10235\n3308 10039\n11748 11784\n1500 4395\n5091 9609\n2059 10882\n4370 6144\n12759 14245\n4263 11813\n9050 14255\n10754 12992\n9281 11842\n6964 10515\n846 2986\n14798 15055\n11934 13309\n7942 10595\n4312 12242\n6228 11896\n1903 9160\n4884 7079\n12 5316\n8381 15404\n8916 10796\n12501 13054\n6516 14754\n7851 14804\n5836 7722\n9302 14268\n7897 15272\n4832 11483\n6487 11504\n8848 11131\n9672 10564\n9887 15568\n386 12645\n1071 2891\n4319 12621\n4649 11778\n1834 12997\n3866 8067\n4336 13891\n2282 8842\n14482 14866\n24 13015\n633 2342\n8509 11090\n6354 15331\n2426 13153\n5331 5338\n11682 15286\n3723 4628\n5419 7505\n2759 14489\n1622 10901\n3768 10502\n7766 9161\n4646 8257\n7848 8761\n2667 6617\n6027 14698\n7290 8509\n3383 4636\n935 6320\n1638 10227\n5697 11819\n2647 6399\n11298 11941\n5391 7503\n2446 7970\n3873 11368\n11458 15249\n5649 8545\n4755 6622\n2703 8065\n13146 13359\n3805 4580\n1079 8393\n13690 14423\n12813 12841\n9136 14941\n7302 7642\n822 12571\n971 2273\n664 9570\n2212 15398\n7471 11895\n660 2033\n4098 13896\n4394 4582\n1443 8545\n3503 5174\n12004 13552\n103 15324\n6098 7354\n1779 10061\n1734 6340\n1063 3521\n790 11019\n1704 3561\n6797 15549\n4283 13882\n4627 13221\n208 7209\n6674 10868\n13548 14014\n11476 15333\n4918 8681\n12829 14972\n6754 14626\n3764 12877\n4463 8236\n8320 10014\n8105 12560\n11527 14331\n941 3792\n6543 9277\n6837 9632\n6934 12471\n1505 15244\n4863 7889\n9793 13525\n8415 9774\n1013 9973\n5967 13882\n3341 12232\n12562 13900\n7878 10085\n8138 12144\n2784 13237\n1073 13467\n1896 4568\n553 8251\n9295 15527\n2149 11783\n7022 8773\n4729 4921\n7400 14860\n3196 3204\n13022 14080\n6726 11301\n4955 8360\n2845 14668\n10799 10823\n7535 15492\n1772 12180\n13976 14614\n1893 12384\n5416 12882\n1401 1697\n13160 15436\n448 3970\n10687 14033\n11077 12843\n5073 12947\n2337 3277\n2820 12958\n4288 13141\n6750 8616\n5752 6553\n4374 10737\n682 2847\n2943 10271\n4022 6365\n7387 7944\n2229 4987\n2064 2248\n636 14276\n3517 10924\n4656 14834\n10931 12377\n36 10833\n8610 10227\n2787 9830\n9874 10622\n4336 6526\n7374 15172\n5109 14123\n1181 13578\n3301 9447\n11523 14786\n2142 5609\n8150 8310\n3252 9119\n11544 15532\n3467 8291\n3708 14126\n2172 7068\n7911 9483\n8422 14822\n3556 10710\n2060 4082\n6401 11774\n3305 9639\n7165 14936\n931 1203\n10380 12512\n913 2075\n497 7810\n6024 7754\n88 1773\n11089 11786\n1556 12948\n2394 2784\n4367 4642\n7353 14203\n7761 8344\n1902 6061\n5562 5669\n10026 13618\n5483 6262\n3147 11293\n1815 7633\n5317 12320\n12883 14592\n6344 13395\n8613 13806\n3488 9000\n4024 14219\n4300 13788\n2565 8588\n3822 7116\n14080 14390\n6034 9936\n1088 7413\n7911 14205\n6837 9320\n11711 12316\n307 15291\n3495 15150\n10327 13192\n1858 7111\n14753 15127\n1377 14322\n7593 14782\n3270 7223\n8831 10354\n8429 10873\n1547 13266\n2303 4192\n6394 7252\n3930 7403\n1429 15263\n2474 7065\n4554 9835\n3254 15009\n4528 7937\n10377 10601\n9218 12989\n7314 9544\n3007 15111\n7153 12457\n9662 12202\n14916 15196\n1781 13292\n8311 12309\n593 728\n9712 14377\n898 15088\n3555 4439\n917 10333\n4051 8127\n3285 8815\n2030 3013\n1088 8137\n12241 13956\n5468 14945\n755 7226\n5830 8366\n977 10680\n1217 10069\n408 10578\n3721 12855\n2538 11574\n6200 15289\n3323 5126\n5164 6494\n2467 13596\n2319 7560\n600 10881\n3421 13697\n4678 9174\n3057 8370\n6331 15404\n6929 15230\n3024 13581\n5024 8257\n3480 11385\n1492 11205\n3023 9443\n8568 8802\n4267 10993\n5598 12835\n7340 12329\n9170 9563\n3232 9244\n2734 15398\n10391 11630\n4622 12788\n10007 10811\n1557 7497\n1619 4275\n8251 8594\n10695 15536\n1937 12985\n4114 5865\n2136 10753\n12550 15078\n13639 15397\n6394 7442\n7879 8013\n479 9622\n3338 13971\n4532 9419\n10294 13286\n8137 14796\n3168 4087\n7607 10860\n3216 11423\n1103 8677\n6219 11332\n2997 11749\n276 3866\n1119 1709\n1127 5820\n13618 14775\n6740 10104\n12031 13881\n2515 3967\n3587 12622\n3152 6593\n3563 7120\n15309 15485\n4762 6578\n617 2146\n12425 14456\n1094 15023\n268 3845\n13271 13694\n189 10156\n2344 3553\n1296 1457\n2271 15507\n1531 8315\n657 14368\n3143 3271\n10857 15062\n8815 13412\n39 10177\n3991 5709\n922 2687\n141 2322\n4760 8820\n1992 4105\n8918 15403\n11874 12331\n294 4342\n10060 10590\n3905 12964\n4110 12973\n4705 15322\n12258 12897\n485 3230\n1278 12244\n2101 9319\n5794 10394\n9261 14613\n6603 8213\n1117 5170\n6479 8803\n4761 12363\n967 7976\n11240 11574\n3859 6567\n4638 8760\n7099 9613\n2950 11456\n9046 12665\n8139 11547\n3296 8037\n4890 8289\n5110 9038\n3774 13317\n3721 13088\n7961 13381\n8984 10492\n5357 6725\n8857 11333\n722 2275\n1576 9992\n8453 12435\n223 6510\n5882 15053\n1679 12685\n1148 1962\n7583 12714\n9392 14879\n7858 10969\n2449 10103\n4708 5850\n9034 15221\n852 10138\n10074 12799\n3317 3343\n3684 8930\n3292 13187\n4626 13434\n3992 10493\n9341 11065\n12320 13689\n8624 10824\n13795 14867\n1115 13384\n5648 12988\n102 11701\n9691 13914\n7592 8751\n9436 14679\n7295 10987\n945 5775\n930 1845\n4068 4865\n328 13819\n1278 12212\n12027 15226\n12436 14242\n3495 6957\n8206 13728\n725 15561\n5553 5889\n2342 13364\n2831 11273\n199 8487\n754 13622\n11174 11482\n2998 11164\n11174 11449\n4293 4582\n5164 6417\n3690 5551\n3127 11915\n6260 7354\n9874 13757\n1506 15024\n4969 7091\n9271 12198\n2719 7054\n4761 8236\n9482 15360\n1411 3287\n2546 13692\n2418 12521\n13175 13928\n4364 12649\n2179 10061\n2685 4235\n8943 14280\n7321 13671\n6026 11607\n8362 10156\n5513 12493\n2541 11300\n1285 8723\n6362 13848\n6962 9494\n726 4002\n5234 8899\n4153 9127\n4824 5848\n6066 12279\n3692 15063\n2809 6693\n7923 14381\n9532 15064\n6780 12143\n8727 11772\n3182 12184\n137 11498\n4619 11756\n528 7509\n8692 8833\n4050 11871\n9017 12227\n3381 12433\n9818 10563\n3384 13715\n5805 8237\n13584 14421\n1159 13766\n2764 13400\n7051 7801\n187 10483\n4160 6003\n7082 10769\n7483 10206\n828 15220\n2023 7765\n6877 11891\n854 5930\n2958 6369\n2087 13036\n959 11210\n1826 4151\n10502 12539\n2162 4164\n8660 12072\n5806 8454\n9300 12165\n302 6411\n1441 8843\n3480 14610\n7875 8009\n1065 1127\n2790 4361\n2075 8102\n3958 4912\n495 1079\n1872 7745\n282 5608\n4233 7585\n4073 12735\n2636 14222\n4949 14713\n1776 13931\n13003 15319\n6202 7387\n6101 10582\n2545 12349\n574 3634\n889 7646\n3625 8788\n5468 8266\n4866 15329\n694 2404\n1341 10515\n3126 5262\n9480 15614\n11083 12015\n4848 11059\n13407 15576\n868 3731\n7487 10206\n2811 14023\n9535 14546\n2721 7373\n10117 14217\n4901 11811\n4607 15051\n342 12426\n3037 14610\n5145 5528\n218 3495\n4268 8612\n719 8632\n2953 15607\n233 4094\n5972 15381\n9438 10043\n6795 8283\n2051 6543\n1883 5233\n605 2334\n3588 7249\n3680 8603\n9212 14132\n2673 2945\n5671 6420\n4486 12077\n3236 12493\n4554 10616\n2958 12412\n930 4580\n7937 8308\n40 12863\n6632 10258\n926 15304\n6601 13188\n2355 11394\n2196 6559\n2193 6487\n1780 12450\n13870 14821\n2081 3047\n1439 6992\n5095 13952\n369 2208\n1639 9839\n2787 10526\n1912 7923\n426 1269\n8918 11586\n9846 15250\n11336 14133\n7263 13442\n636 1807\n6396 6444\n4181 11142\n8247 11026\n12456 14127\n4016 10981\n6601 13847\n1741 12213\n10055 12016\n8796 14333\n4959 8734\n6074 12856\n3075 10217\n5409 9323\n12634 13981\n7989 15654\n6591 12533\n1940 4302\n694 9921\n3807 15596\n3469 4417\n3316 5096\n1751 15383\n5359 6889\n5184 12611\n2158 15567\n5689 6716\n6857 9260\n1181 6747\n585 11991\n10073 10560\n8345 10131\n8770 10251\n2044 9351\n293 8612\n2584 2766\n4206 11503\n7203 15105\n11197 15439\n11487 15506\n3406 13789\n2378 9503\n2079 8201\n5855 8314\n3563 4155\n6785 10387\n1403 6310\n1067 7499\n9610 12897\n4410 6812\n10710 11048\n4238 14475\n3625 4810\n12416 12607\n2068 10498\n655 10172\n5289 8036\n1573 4339\n915 1467\n10681 12423\n180 13244\n1845 11342\n1406 5817\n4427 6065\n4411 14691\n6329 10615\n960 6107\n4833 9607\n5548 10948\n6457 7495\n1269 9055\n54 6968\n10710 11432\n4257 11076\n4862 6075\n9116 14110\n3064 8699\n5649 8666\n7132 11086\n517 621\n6446 11651\n8073 12714\n90 7844\n2395 8115\n292 11317\n3986 4943\n3578 7947\n10612 14764\n4629 11918\n6889 6946\n12677 12793\n2036 13774\n1232 7543\n5623 6886\n2692 6385\n5806 11320\n91 4214\n1098 12751\n4951 5107\n820 10948\n2750 3716\n5652 9441\n7211 14901\n408 14297\n6805 12552\n3897 4749\n3254 10573\n9935 10378\n10525 15036\n6175 8649\n607 10841\n10609 13997\n3972 14912\n951 15502\n7851 15583\n1428 2586\n2635 13109\n5521 5751\n9124 11295\n9424 12093\n8177 9404\n7919 8811\n5544 11089\n2235 3064\n7656 11821\n5150 9154\n8703 14527\n2483 14542\n3424 7793\n10474 12475\n533 13278\n9768 13869\n12543 13743\n4455 7119\n3549 10145\n4317 9530\n2475 13355\n10922 11000\n8338 9365\n3335 11621\n2739 11701\n1435 15115\n1337 7340\n7290 8754\n10002 12823\n10772 11565\n4959 9876\n2854 6576\n12275 14981\n1119 7051\n2562 6152\n568 15152\n3787 6715\n8348 12020\n4787 8120\n292 981\n3205 10373\n7786 12959\n2027 3690\n4377 9337\n2547 10260\n6387 12703\n11529 13028\n3488 9251\n7643 13502\n4394 8022\n1238 6671\n425 8580\n7021 12620\n1299 14814\n7537 8368\n4179 7794\n9531 12868\n4132 9975\n1749 9154\n5410 11658\n246 3853\n3371 7859\n555 8973\n2841 14911\n10059 11151\n7547 15374\n8257 12069\n825 8633\n8422 10617\n3546 15446\n4946 10965\n163 183\n4326 12690\n4121 9065\n3192 14802\n10714 14380\n2591 11284\n1331 14296\n945 1829\n687 12241\n1839 10614\n6194 8607\n13868 14347\n6412 12402\n1939 4392\n7951 14074\n9697 14942\n9233 9541\n6739 7283\n2974 6150\n2708 3772\n12177 15244\n8500 8678\n8576 14882\n708 4644\n5077 15400\n7064 11659\n322 6546\n2021 11509\n4473 8533\n1856 3738\n4244 14434\n6779 10609\n4403 4960\n2096 9135\n2271 9138\n1681 8100\n6531 10827\n2142 12373\n8354 12743\n2360 8699\n79 15656\n4622 5372\n10495 13720\n550 8430\n722 7645\n6167 15443\n13174 14233\n1748 10116\n3874 7153\n9874 15114\n11592 15014\n6484 10870\n6230 10361\n2957 5385\n9413 13056\n1457 1855\n12878 14939\n12563 12663\n5037 15425\n12436 12564\n9253 13265\n6079 8466\n1372 12580\n2040 6923\n1527 5442\n8078 8702\n10574 14669\n12697 15449\n10592 13148\n8258 8664\n12114 14375\n6152 13843\n10613 13758\n2544 3127\n12282 13089\n6615 6802\n354 14853\n3368 3600\n1327 5790\n2647 9610\n6918 8555\n12490 13418\n708 14705\n8692 8801\n5513 7817\n5850 12098\n4338 6061\n3400 14994\n13537 13998\n5636 10911\n5744 14301\n5932 14283\n8213 11778\n7313 12278\n4656 13691\n6317 13956\n1921 5280\n4342 8365\n8050 8982\n10452 15509\n1188 8765\n12964 14690\n3758 11206\n2365 6228\n3056 10232\n6225 11479\n8589 8682\n3362 4189\n465 11027\n1708 13385\n2917 3074\n4687 13249\n4767 7542\n8017 8899\n10338 11595\n1488 3088\n6686 9592\n468 12368\n5222 10954\n390 3693\n8583 11566\n4258 14801\n6902 9158\n979 10408\n13170 14613\n2323 8174\n5378 8175\n3130 11962\n3072 13494\n2509 14461\n680 10184\n7759 12039\n13142 13419\n4907 14322\n1779 7426\n1869 2030\n12911 13776\n4788 12628\n11351 11661\n2161 5514\n3221 14697\n8293 8879\n2088 7627\n13044 14447\n646 15167\n6024 8554\n1678 10057\n4161 11982\n2961 14724\n4769 6457\n3354 5108\n2743 6037\n737 13147\n8655 9497\n9052 11981\n4047 12880\n1845 15310\n1407 13229\n8535 9979\n7204 14742\n10539 14627\n7243 11201\n5349 9561\n8703 10601\n6473 12567\n8795 14947\n1441 11105\n6042 10080\n12190 14382\n2431 11550\n7743 12563\n2561 10499\n4777 15610\n879 1712\n6823 10937\n6175 7887\n7667 11510\n5553 9973\n9609 13789\n13713 13725\n3415 5810\n14903 15301\n3830 8368\n5207 10459\n7982 15148\n187 11053\n4049 9355\n3067 13649\n1530 7121\n8037 12748\n2236 10055\n7111 7165\n6112 7969\n1696 6254\n6164 13975\n1811 10997\n4562 10983\n1493 11436\n10351 12429\n11685 15098\n12939 15546\n8522 12427\n1079 3158\n2795 11886\n9960 15013\n4419 11589\n10995 11375\n3025 12682\n3859 8204\n2580 5948\n8621 9041\n1199 15510\n3551 9429\n778 8250\n12535 15362\n2413 8348\n6229 13868\n4056 13883\n15289 15457\n11883 15328\n9238 12238\n9402 13721\n9728 13764\n7619 15451\n4248 6686\n2058 11204\n7397 7810\n1079 3153\n3589 11454\n2700 14840\n685 12041\n8033 10563\n5989 11196\n9512 12941\n2373 12070\n672 3152\n5516 5975\n2823 4993\n4634 10975\n2396 2808\n391 4122\n364 3155\n874 10621\n4238 10195\n6528 6717\n2725 14468\n745 12180\n5268 9663\n5706 14203\n1600 9289\n1850 4871\n8796 9729\n11688 14962\n5399 7381\n962 1374\n9105 14697\n455 13730\n4533 12033\n11076 14606\n6452 8305\n1800 10392\n3137 6516\n12149 14794\n2969 8540\n4830 6290\n7999 12912\n8194 8799\n4029 14923\n8726 14646\n5658 7391\n6420 11725\n602 15524\n528 14998\n7522 8302\n7022 9068\n1695 5123\n13242 14259\n2283 12154\n221 13071\n706 10386\n1118 9960\n6303 14484\n5912 15043\n1876 8489\n2729 3136\n8296 14681\n4243 5986\n3924 14651\n1591 8769\n722 15390\n1771 4771\n4830 11143\n3386 4308\n4032 13348\n3566 14506\n6465 7074\n6698 9819\n3740 13890\n10233 14818\n3537 5410\n11267 13992\n4922 5040\n992 1893\n2131 9776\n9811 13603\n4964 12690\n8524 11656\n3727 5172\n4374 4583\n4662 14816\n1416 14204\n6342 8503\n611 14055\n14805 15458\n2525 6920\n2776 7331\n5732 6091\n923 10490\n4446 6170\n10738 12371\n15065 15068\n7162 9430\n8508 12390\n8223 15225\n7403 14795\n556 14156\n8547 15627\n4141 8794\n3188 10654\n3930 10491\n8053 14144\n8404 12456\n11144 14988\n3351 5152\n2394 14697\n5921 9371\n1521 3999\n2885 3559\n11008 12328\n12529 13268\n10365 11425\n429 3073\n1818 10490\n2259 5066\n11267 11886\n3862 10562\n4218 7016\n1879 9227\n2432 6197\n2081 9046\n66 261\n2130 11319\n7912 13671\n5183 6478\n2871 11620\n3439 6063\n1147 7291\n3139 5545\n6112 6384\n10392 13811\n4207 7885\n10147 13476\n4306 13523\n7381 13314\n3624 7359\n3320 14444\n3825 9023\n11117 11869\n1534 9014\n797 7905\n451 6804\n4933 14169\n2215 12473\n6695 9881\n9984 10406\n1737 11575\n4295 14703\n3430 5398\n997 1108\n3251 14827\n1873 11422\n4706 8618\n4947 6903\n1866 9336\n3799 5928\n1233 11581\n1998 9769\n14604 15593\n10828 12416\n4472 13207\n1752 15653\n8046 13118\n2395 2454\n1941 10835\n3731 6441\n939 4111\n8447 13963\n5040 7074\n2797 2879\n1890 15215\n5475 12937\n4439 9632\n3345 6770\n3190 8180\n11166 13087\n604 1948\n13877 15306\n775 1776\n13319 14676\n7885 9186\n1573 6858\n11672 14133\n4845 14827\n2770 7073\n8942 13116\n3647 15157\n8224 14252\n872 14441\n5243 12904\n9333 14983\n549 5161\n4666 15150\n4275 14343\n9147 10564\n2755 14298\n166 7826\n11419 12788\n834 11156\n9429 10599\n8614 11568\n6499 11467\n6529 12749\n66 7301\n3292 8358\n3134 7420\n11039 12099\n11139 12420\n1505 7387\n9874 14810\n2371 12778\n8270 8930\n13093 14537\n9033 15104\n2672 12082\n4504 7799\n9076 13910\n8217 10296\n772 845\n3651 15558\n4639 7926\n1879 12381\n1824 11185\n3240 5442\n12044 12634\n2511 6600\n2611 3726\n4892 11612\n1141 14346\n2791 8792\n12826 15120\n5389 11669\n7673 8937\n3148 8312\n8603 11833\n577 12992\n1686 8222\n12054 15601\n3126 6668\n2098 8558\n587 6859\n1510 14717\n198 1210\n773 7009\n5515 13557\n1751 2439\n5121 7685\n4793 10024\n2229 13997\n5875 13506\n9253 12632\n2119 4181\n1077 9198\n5214 6004\n7428 12792\n9060 15001\n3949 4662\n598 12332\n7786 10763\n3807 7353\n1059 11091\n671 6387\n2290 2737\n12221 13406\n15059 15520\n5363 13894\n5619 13892\n1773 11699\n3743 14790\n7251 8829\n1087 2364\n11513 13287\n2842 5180\n447 9837\n8265 10362\n6055 13523\n6356 10989\n2422 4907\n5226 6937\n4425 14566\n3130 7849\n8040 9812\n4956 5581\n3580 4676\n2201 15589\n2505 10282\n4173 5627\n2117 14442\n2377 9904\n5703 7918\n7115 9308\n264 7621\n5883 8796\n3410 10439\n196 4925\n10266 11622\n2424 5731\n5656 7847\n2874 3585\n1351 14051\n521 6465\n5934 12728\n11497 11638\n6958 15177\n6693 9523\n235 13601\n2865 8512\n252 9022\n1160 9871\n1005 5308\n896 9893\n5512 8096\n699 15115\n8711 10301\n3208 8823\n5857 9385\n4761 10036\n822 6371\n524 6125\n1781 9968\n6582 8713\n2320 14859\n1355 12352\n997 1760\n186 8190\n7000 15067\n3600 10334\n10679 15285\n2245 7313\n30 5590\n1380 4905\n7319 8815\n2940 4740\n2284 12543\n1138 8309\n11649 12094\n10342 15057\n3692 13245\n5144 11797\n4520 8349\n3173 4210\n8688 9207\n9670 14691\n1457 10075\n2367 12389\n3764 12954\n813 7055\n7992 12610\n2514 13390\n2776 10540\n1667 15201\n964 14598\n7559 13624\n289 1705\n224 10698\n3485 11181\n2816 6835\n3020 12251\n10221 15198\n9775 10071\n2555 13879\n460 12639\n6367 10702\n6195 14654\n6662 13057\n2075 14119\n2100 3587\n3290 12553\n5784 7446\n3866 9017\n1865 8743\n2933 8973\n6303 11668\n8911 11921\n6961 10213\n10504 14057\n10483 14175\n607 6646\n7363 12232\n6086 15301\n11922 13900\n1563 6913\n3788 6303\n1418 14308\n1888 4540\n12079 12199\n2387 7408\n501 8460\n4822 9412\n6317 7885\n541 10865\n11213 12100\n2508 3292\n1425 13980\n12046 13009\n1007 5738\n7471 7906\n6817 8039\n4438 13085\n6096 9492\n3590 9482\n3272 12318\n11963 14337\n1898 12698\n481 3157\n11686 13336\n9792 10054\n2118 11515\n60 12039\n5890 6553\n2374 11891\n5915 10592\n4798 11520\n10145 12606\n9731 15102\n2911 14554\n9481 13166\n2773 9559\n11596 15130\n3940 4370\n2478 12378\n3286 15109\n2508 12985\n10150 13749\n2550 13654\n4103 12983\n3596 14034\n1991 6908\n1584 9591\n187 1218\n4091 10392\n5124 5915\n3436 4676\n7093 10486\n1408 5765\n5622 9231\n14353 14881\n1852 7400\n1707 12161\n12011 15385\n4827 5007\n13222 14981\n8969 13778\n4956 5530\n2131 15309\n11055 14750\n4922 5343\n2934 13641\n1122 10929\n8515 10433\n4695 7944\n10996 12670\n9344 12871\n120 8204\n8202 11277\n9026 14064\n1363 7007\n8217 12739\n12076 15172\n12299 14064\n5965 13219\n449 654\n2113 13385\n3745 4268\n12588 13298\n6346 10914\n4946 6547\n13542 14090\n7525 9194\n10651 14804\n3728 11191\n1386 14364\n6286 6686\n4416 13055\n4275 5083\n2325 2408\n5294 5914\n531 6803\n1420 12364\n3073 3322\n329 10527\n1614 11986\n11749 13755\n995 1325\n1762 15511\n7347 9747\n863 5856\n961 13969\n98 6735\n5104 7120\n6333 15193\n15473 15532\n14545 14693\n462 15487\n5297 6382\n6955 13255\n974 2279\n931 13283\n2342 15005\n1859 14166\n14086 14490\n272 4549\n8939 14472\n9835 11270\n13711 15481\n936 4216\n8955 13093\n10350 14282\n3122 10863\n3816 5910\n2899 10340\n4356 15124\n848 8733\n3584 14230\n4273 5987\n752 15568\n2096 14632\n2317 14204\n11498 14059\n5326 10268\n10 13569\n13 8994\n13522 14889\n9752 10668\n7704 15234\n1741 2508\n4753 11824\n6051 14660\n5740 11098\n1946 10013\n5566 14786\n201 5768\n8954 9151\n587 9699\n648 5693\n1235 3602\n7504 10456\n10567 12423\n10520 14858\n804 8249\n1899 9085\n9163 11806\n1175 11333\n7925 13065\n1410 7251\n4138 14078\n7611 12501\n5083 13137\n1597 12469\n4470 6048\n636 13278\n2523 6713\n5175 14272\n67 6362\n2894 7059\n1428 1960\n5917 12530\n4743 13712\n10794 11384\n9418 10141\n13669 14508\n6456 13806\n77 4101\n869 5295\n7760 10285\n15010 15375\n9401 10358\n8483 11232\n2389 8489\n3047 7389\n6865 14725\n3702 12824\n10872 15544\n10487 14083\n10968 11098\n499 7827\n3148 11174\n7397 13146\n10062 10993\n7877 15429\n1564 6949\n979 15250\n3916 11313\n533 2103\n2244 10031\n2017 3210\n2784 12279\n9147 13881\n8551 10678\n1965 13585\n4077 6703\n7983 10987\n10618 10932\n356 15364\n4361 8125\n7974 10983\n8063 12755\n9123 13324\n5957 15168\n2525 6570\n3597 3945\n1584 5949\n617 3867\n6619 9627\n555 9530\n937 7271\n1857 8207\n4434 6778\n3987 15199\n1724 10231\n2441 7793\n7556 7852\n5238 13344\n1442 14237\n351 975\n2464 9298\n2223 14204\n7468 13528\n2196 9643\n6974 8025\n6394 13674\n10332 10676\n5884 9870\n274 6739\n13065 13415\n2805 15093\n10868 14302\n11824 13519\n6116 7530\n4940 10200\n4462 13200\n5065 15418\n9122 9214\n5467 6063\n5692 9887\n2993 3117\n619 15215\n12343 12470\n2260 15489\n8714 11878\n3737 10421\n180 8778\n9960 15657\n3409 10800\n4874 12856\n110 2186\n12793 13488\n1353 2633\n4498 15098\n3807 11826\n6562 13300\n240 12530\n11976 14076\n9994 12112\n8996 14041\n1209 6983\n1057 14105\n4961 14508\n2954 12959\n3638 12548\n586 9454\n4486 14552\n1245 1689\n3456 4544\n11447 13590\n2130 4999\n7148 14043\n7119 8051\n8791 10836\n499 2196\n1833 12744\n12374 14042\n9010 13962\n6975 13872\n3772 5852\n9944 15144\n3616 4036\n3468 14148\n53 1798\n3246 11464\n2292 6754\n13767 15561\n10580 15389\n1280 6343\n6702 12923\n3716 14424\n922 2879\n677 2881\n4722 7730\n4077 11163\n2840 3397\n2880 7055\n7890 15315\n4663 7811\n281 7067\n6194 11177\n5348 15030\n9816 14767\n3498 15157\n1970 9018\n288 1576\n1244 3586\n872 14539\n2416 3452\n6305 13893\n2687 13224\n1937 6242\n303 8099\n12214 15106\n2275 4293\n3375 15421\n12074 12245\n1033 5127\n2819 7721\n9273 12398\n3041 6880\n11261 12240\n2517 5355\n371 12807\n4661 10638\n549 2332\n2653 12144\n1346 7464\n1020 7272\n2241 7951\n11356 14013\n8211 12154\n5549 6953\n12810 15414\n5633 7712\n598 6063\n1820 5940\n13997 14436\n3182 5892\n6877 7848\n13334 13739\n10369 12949\n7044 10313\n12172 13655\n1945 5117\n5374 5450\n6759 10713\n4235 14556\n2536 3298\n262 4020\n78 3298\n1909 8050\n8187 9571\n8623 14773\n12989 14398\n6398 14758\n5020 8773\n2741 5316\n2817 3498\n2370 7679\n4148 6642\n10197 11136\n4278 8623\n5959 13672\n3421 5307\n2364 3609\n2904 12320\n2595 8031\n2550 14756\n4928 6706\n8138 9238\n2271 8047\n25 4619\n3205 12621\n7970 9351\n3929 7614\n2128 13049\n2172 14011\n7792 14334\n4682 6574\n1639 11172\n7480 8398\n14681 14709\n1000 12861\n362 8737\n3009 13515\n1869 14850\n6163 10538\n6249 13619\n5567 8206\n5387 14818\n1632 9516\n5835 14481\n13692 14495\n12520 14678\n12038 14243\n4001 12241\n8921 10621\n2528 12666\n5202 7679\n13716 15614\n790 3670\n2301 5964\n11700 15508\n1176 13344\n10627 14434\n982 9462\n7076 11411\n3658 9636\n9471 13354\n6932 7742\n7740 15648\n7955 12915\n1503 3690\n10700 15106\n301 6014\n6085 9357\n3197 6227\n2768 11832\n10574 11684\n3416 15341\n11872 11974\n4080 6548\n5173 7370\n4884 8141\n1029 14856\n31 608\n4531 7167\n1941 12373\n1958 14836\n11849 13165\n695 15612\n472 9939\n6503 12213\n2872 11299\n4644 10474\n8445 13249\n616 4077\n7314 10696\n6763 14740\n5292 9926\n3139 3365\n4949 5567\n6973 13504\n9143 9662\n2434 8669\n4048 7947\n5437 10643\n3770 9037\n7697 7931\n1465 14742\n5883 7184\n5007 9792\n5756 12937\n2722 8707\n11447 12750\n631 898\n3554 6819\n685 2074\n7146 14593\n6741 14014\n1298 12239\n8640 10069\n1763 11494\n8704 11042\n6271 6450\n5853 13362\n2295 13479\n6284 10609\n1865 6314\n9851 14648\n2278 13494\n2751 3338\n8114 13106\n7986 15265\n12409 15456\n3312 10588\n1879 7444\n3950 12865\n7073 8665\n5858 6936\n1800 14415\n9137 10362\n10844 14357\n4403 13151\n5476 10512\n3808 8970\n6698 14091\n10865 11512\n5311 12841\n768 13465\n2671 4794\n8468 12230\n9426 9640\n4807 8951\n3951 14569\n5456 14711\n12868 15603\n1281 1579\n3191 14565\n6772 7670\n9193 14017\n3824 5390\n5572 14030\n2194 2927\n5781 10445\n7340 14031\n6248 12409\n8662 10419\n11778 13831\n2597 15424\n2143 13751\n7130 14755\n1654 12224\n2196 5732\n316 13647\n11652 12213\n3515 15641\n5060 8634\n7013 10137\n977 15260\n586 9217\n6072 10619\n7479 7637\n13670 14844\n701 7904\n2274 3929\n3029 12979\n2067 7350\n339 3325\n8607 11634\n4282 5624\n13269 15298\n2004 3361\n9766 10215\n3587 11576\n7392 13323\n1666 13153\n2598 11168\n351 14425\n8302 9811\n4986 11851\n2461 2972\n12098 14919\n13555 15323\n190 1962\n6782 14316\n1966 12748\n9899 10091\n913 2244\n6757 10138\n11252 12544\n9017 13251\n2811 9323\n8628 9307\n2481 13779\n4253 10177\n3007 6988\n2410 2978\n5582 11800\n1988 10535\n4851 15030\n3872 7944\n7019 10015\n4331 13004\n11122 14739\n2105 14436\n3752 14163\n10065 13285\n5180 8735\n5119 6981\n9980 15163\n14297 14609\n4921 9889\n4879 14782\n366 4965\n4585 11132\n3909 4826\n306 12697\n1411 13582\n11022 13102\n3826 5561\n4477 9412\n818 15302\n6842 11545\n8233 12735\n7914 11078\n4210 15305\n1616 7565\n3867 12850\n2059 10347\n3716 7529\n1093 11977\n3969 9511\n10579 12556\n1801 2263\n6800 10629\n12586 14814\n9441 14935\n358 14088\n5231 9367\n11813 15484\n7296 9320\n7660 9580\n5064 11158\n5947 9693\n12419 15486\n10356 14159\n8622 15528\n11912 12642\n224 2128\n1797 7818\n3132 14106\n835 3202\n1354 15434\n244 14457\n10876 11860\n743 835\n6269 10384\n10436 11220\n9589 11007\n1559 9901\n13367 15574\n2612 14326\n1827 3690\n5988 11231\n9485 13734\n1767 10647\n5313 7795\n7377 15185\n6771 10979\n11855 14306\n4134 10909\n4965 7627\n7663 15504\n4972 8474\n812 8944\n5574 15609\n771 10721\n6476 11392\n2591 3726\n1740 3729\n2123 4511\n4471 15626\n6693 14927\n11404 13708\n22 1457\n8726 10661\n6883 7352\n4481 14604\n5331 11027\n2471 7756\n1253 5516\n125 14672\n9299 10698\n7639 9778\n9950 14371\n763 8883\n3753 4909\n713 10561\n3744 10498\n4498 14151\n7856 13173\n4950 10156\n5653 8100\n3716 8830\n7156 14341\n11275 15592\n6260 10298\n8796 12913\n13289 15302\n808 6897\n4018 8006\n4320 9839\n384 3064\n17 15168\n1004 4817\n368 931\n5859 13711\n1296 7788\n7189 11257\n4949 8843\n9557 14160\n2641 3346\n2960 13709\n8625 14040\n4324 8308\n3604 4467\n4176 6236\n3667 11460\n7096 12060\n12390 13519\n4773 14169\n2536 8539\n66 2586\n5292 8179\n10668 14140\n6298 6743\n2559 10806\n10978 11444\n4128 14756\n5314 5664\n14745 15518\n191 7567\n820 7530\n2231 11202\n2957 6976\n9416 10089\n8346 11288\n2658 6213\n357 7135\n8118 8728\n4876 6343\n1668 12312\n5888 7051\n743 11010\n1008 6820\n12225 12865\n3617 7406\n4992 5080\n1089 6031\n826 10440\n8419 8834\n4218 12835\n7338 14706\n9416 13835\n300 700\n5765 8316\n2814 12621\n13233 14150\n3850 4569\n4314 12250\n13545 14997\n243 14696\n10210 14797\n111 12370\n8309 11575\n12289 15100\n2046 13984\n3071 3913\n10578 13818\n2149 14617\n7474 13775\n4589 13093\n2735 10081\n5454 11860\n10240 11514\n1578 8218\n272 8713\n7134 7811\n3132 14244\n590 4889\n8934 13012\n6229 10271\n168 1445\n1578 15539\n3699 7593\n8738 12577\n47 14506\n8558 10119\n1187 9733\n3478 14120\n836 6160\n7434 9110\n3788 4153\n3727 13453\n3248 5934\n7097 9328\n3551 5072\n906 4607\n2995 13156\n5562 8608\n1816 10460\n2995 5937\n3044 12485\n5387 11303\n2874 11377\n4868 10058\n2470 7757\n1690 4469\n4255 9386\n759 10800\n4353 12529\n2722 5726\n3736 5203\n13588 15442\n600 2216\n2779 11354\n1144 7281\n7937 15530\n2701 6785\n13424 14222\n4233 5953\n9935 12950\n251 2107\n8367 10546\n1200 9235\n8658 10641\n2726 15385\n3517 8095\n2927 4192\n10086 11015\n428 10892\n1417 5310\n12883 14797\n3534 10121\n5473 13172\n3002 4069\n9993 14004\n11751 14185\n4433 9533\n3224 6108\n5422 14511\n4443 13233\n9712 12968\n7614 11720\n2209 13133\n347 1680\n4445 6557\n14254 15081\n3115 11934\n2801 13571\n1838 8884\n3 13549\n3689 8871\n7151 10381\n2980 13853\n6211 10440\n51 6684\n3669 14638\n7646 9550\n2198 13670\n4710 15559\n4123 13116\n1420 3572\n2771 3506\n6201 7792\n5283 9326\n595 7109\n9309 11336\n5224 11974\n1452 3226\n8538 15368\n1601 8471\n362 6162\n5108 14506\n3063 6632\n1618 4774\n5184 11509\n5064 6198\n13574 14423\n8610 15456\n5060 7365\n79 6357\n8777 13604\n2664 4139\n4071 7521\n7554 8105\n9644 15483\n4636 11578\n3504 7124\n6901 9952\n11993 15270\n5798 7752\n12915 13257\n3956 15191\n3349 6810\n7416 15107\n4104 14737\n3608 12311\n2970 10276\n8463 15529\n1774 4799\n1268 13469\n654 11052\n13867 15380\n5249 13222\n10912 13495\n3726 11458\n11156 12245\n3517 10733\n10721 13720\n8076 10106\n5257 13668\n5491 8152\n5989 9653\n1063 6678\n7487 11964\n2935 15403\n11737 12221\n682 2459\n5020 14692\n1183 11508\n3770 9663\n6341 7589\n755 13011\n11797 14355\n1160 8360\n4440 5570\n2504 4893\n2320 5255\n648 5399\n2690 8403\n10325 11179\n11068 12660\n4795 15016\n11177 12031\n8552 10904\n1980 4744\n1561 2770\n2291 11810\n6885 8871\n3111 3456\n9052 15347\n9590 14149\n9189 11396\n859 13472\n11779 11883\n11881 15021\n456 11981\n11268 13490\n8547 13221\n4962 15219\n5014 12416\n10772 13244\n13318 14623\n5122 11948\n5695 10094\n1849 8833\n746 5138\n5730 12074\n10909 11896\n2165 6180\n10668 14942\n12883 14092\n1722 10863\n1702 9554\n7679 15612\n7713 14090\n9169 9583\n9756 14466\n7733 14797\n6698 13974\n335 12251\n13579 15452\n1363 6870\n2170 8311\n1000 10242\n6408 13418\n5826 7989\n6300 11251\n7131 14849\n2049 2143\n2808 3526\n2915 4471\n8157 10638\n4521 12910\n3713 6920\n2027 11177\n878 12330\n4961 13606\n10492 15043\n13055 13893\n948 7998\n1042 12354\n3984 9444\n4180 11972\n5892 13452\n9555 14391\n7594 7864\n6195 13528\n6464 13279\n13073 14140\n2052 8920\n1385 10278\n4253 12245\n2694 6702\n4252 9243\n2134 7935\n7531 15408\n13826 14293\n9146 11916\n2180 6078\n593 9733\n10583 10784\n5739 8068\n1529 1895\n581 13890\n1313 10908\n2980 13490\n12601 15152\n1657 5475\n2436 8825\n1301 15102\n9252 11330\n4758 11812\n8839 15652\n2623 2833\n5843 12155\n3630 9719\n3457 13941\n8115 13874\n6906 14057\n6882 14664\n1763 4072\n4015 11184\n10540 11331\n10635 15294\n3867 11232\n3858 13416\n6725 7106\n9396 9442\n5196 7529\n8317 12982\n746 4374\n751 4697\n4585 15540\n3070 11454\n4363 15008\n8474 11234\n7758 9743\n9205 14653\n2042 12627\n3286 13149\n4088 4160\n6551 11742\n10275 10434\n3840 8243\n11348 14866\n5715 15285\n3386 8393\n12562 13358\n9296 10272\n7046 14696\n6113 7396\n2065 3689\n5323 9831\n9301 15263\n6226 11806\n5886 11230\n1383 10773\n750 3120\n8833 8976\n4418 6051\n6652 7832\n8383 13702\n4658 4687\n1463 13740\n5185 7154\n6841 12670\n1816 7974\n1950 13109\n9049 15311\n13061 14477\n2047 5435\n3072 10266\n5808 12470\n1927 12577\n10350 10834\n1040 13907\n3153 7626\n1330 14590\n1172 10248\n1061 3301\n1333 3500\n11599 15629\n3934 6376\n2347 4048\n14417 15028\n4359 12316\n7516 12204\n7864 9577\n132 4839\n1437 3208\n8223 10315\n41 4771\n3516 14372\n8120 13546\n10718 11835\n6077 10260\n1763 3002\n1931 6544\n4079 10879\n6306 11730\n12175 14032\n1211 9071\n5675 6629\n637 3492\n6045 14556\n12313 13398\n5643 13159\n1474 3876\n1426 1616\n7072 11255\n6900 7410\n12159 15503\n10534 12588\n11674 12383\n3060 5120\n2302 4649\n1490 6539\n596 15283\n3849 13692\n6977 10889\n394 8852\n732 6087\n7366 9356\n346 11671\n2835 15631\n171 4704\n8991 14219\n2480 8717\n163 4245\n505 6699\n3552 4289\n6834 12561\n11509 11813\n8092 12003\n10183 15208\n9403 11197\n6731 13299\n4802 13193\n8267 12588\n4052 8599\n11165 13115\n5914 7312\n8968 10136\n11309 12936\n3635 11965\n2485 11440\n111 11720\n10237 13884\n4180 10777\n2209 5953\n12652 15040\n8796 11954\n498 12729\n1527 8198\n3601 4933\n45 11451\n1251 8755\n2563 4318\n13218 14657\n4643 5048\n3231 5824\n64 2084\n4393 9117\n3705 8568\n11804 13387\n4998 5451\n6982 7209\n3650 3660\n4173 15331\n7772 10089\n2792 11676\n7053 10155\n3631 15474\n4844 15650\n1443 12225\n717 15045\n1358 12876\n3890 11467\n6563 11321\n4776 14401\n2455 12663\n156 3371\n715 11978\n5607 8609\n6296 7995\n4521 9643\n1800 13433\n12879 15156\n10612 12116\n1282 11064\n1778 6154\n2553 9830\n8995 11005\n1118 14575\n7933 9327\n2969 4112\n7995 15424\n8883 12991\n944 4597\n7668 13284\n2967 6953\n1263 2477\n172 5350\n6260 13135\n1792 7488\n8345 10170\n10176 14076\n9980 10577\n7025 8179\n2194 5367\n9944 11195\n7708 12265\n1561 9925\n15615 15631\n551 2085\n801 12115\n2103 4139\n6814 14490\n5452 7918\n9335 11610\n10751 13594\n168 5081\n1650 3689\n11718 12027\n5765 12952\n4410 14237\n6842 11423\n2449 9396\n858 10768\n313 15133\n7497 12293\n4568 5250\n5074 7827\n1511 15089\n6215 6738\n2500 15338\n2759 12366\n6832 13942\n4688 6801\n10465 15367\n9761 10190\n1525 10249\n1530 12964\n4869 9200\n6047 8759\n11597 14260\n3925 8603\n10180 14108\n991 4677\n8759 9866\n12056 15411\n5172 10793\n3974 9772\n5446 7539\n707 12988\n8972 10610\n5648 8426\n2728 11591\n5835 5931\n13681 15059\n4349 4540\n5834 9872\n605 4239\n7020 14042\n1578 1676\n4403 11375\n12108 12372\n1203 7722\n1002 7260\n9627 13251\n12883 14908\n624 793\n2297 14783\n5641 7375\n4315 7156\n6939 10514\n369 12114\n7375 7458\n10906 14090\n12243 15625\n8459 10574\n13971 14834\n3779 15424\n185 11934\n6569 11352\n4082 15270\n2300 6991\n822 4775\n94 14018\n539 3644\n5034 10857\n9070 12712\n10454 14751\n3078 3427\n5964 10043\n531 9053\n2409 6090\n4436 14246\n3727 6137\n8889 13815\n3909 12893\n13680 13733\n4750 15391\n1907 10469\n11 15416\n6772 13750\n4947 15089\n56 13830\n13988 15044\n3871 13828\n1258 9873\n2161 7234\n4504 10669\n9811 13720\n5793 15405\n5480 5670\n2817 13563\n3053 15381\n4146 15418\n565 5546\n9425 13198\n1095 8390\n2964 14300\n8416 11315\n5392 12272\n136 6566\n2728 12499\n6313 9221\n7293 14683\n1033 7106\n7779 12120\n6813 13039\n1846 5800\n4611 6891\n4493 13666\n4971 15601\n897 11910\n1924 5987\n9246 15365\n8766 12422\n11525 14377\n1634 13193\n8588 14158\n1213 3440\n11388 12764\n3758 10311\n3138 14621\n6444 12943\n7412 15017\n3275 13888\n10402 10956\n10158 13330\n4773 14944\n7559 10032\n220 11050\n1520 12195\n6635 11623\n3700 5089\n4032 11949\n8464 12100\n2117 5668\n3929 5162\n11641 15367\n4911 14843\n1372 12021\n378 11282\n7295 11903\n80 13668\n3419 13367\n5611 9960\n777 8345\n9414 15147\n7689 14550\n7497 7771\n3049 11520\n2556 8396\n5735 15230\n12106 14081\n1027 4077\n7330 14113\n7015 11775\n8159 14262\n2636 7000\n12144 15053\n11436 15158\n1674 4256\n6409 7816\n713 4336\n2165 4676\n12227 14092\n7199 13361\n1751 10388\n6733 14366\n1111 10103\n553 8763\n2498 14426\n1785 4538\n6450 7586\n7067 7679\n8685 9422\n4557 5368\n3347 7246\n1075 15638\n4284 11887\n6537 15322\n885 11620\n13758 14212\n13844 14419\n7162 13330\n7368 12526\n10711 13201\n1283 10865\n7418 14449\n8590 10050\n7078 8291\n1176 4209\n11318 11903\n2934 14555\n2899 4664\n7349 13370\n10519 14223\n7072 10581\n3205 12944\n5930 7566\n11627 14046\n11195 15080\n374 4838\n7486 13372\n4336 14747\n6897 9195\n4200 13866\n4393 4883\n7933 13922\n6334 7041\n7012 13114\n7551 12999\n3423 6542\n8502 14677\n8688 14505\n1703 12916\n971 9267\n11644 14327\n3256 4067\n9192 12286\n4298 11763\n13484 13540\n3507 14548\n4106 9006\n3550 6285\n1089 13053\n980 14320\n1309 9311\n5935 11198\n13248 15080\n3929 12776\n3037 9864\n554 10144\n12367 12976\n1311 4665\n3142 3233\n3522 10657\n4232 15498\n4624 12364\n9696 13321\n9527 10230\n3608 13214\n962 14957\n5144 11196\n9084 13522\n5097 8635\n5067 8831\n10896 15424\n6525 10060\n10 7084\n1571 2957\n1366 9254\n4942 6548\n2111 10753\n8705 12245\n454 5087\n7332 12000\n3067 13992\n7037 10034\n2506 5486\n14975 15078\n4898 5084\n5666 7121\n270 14290\n4121 4804\n8727 11425\n484 7808\n2288 10864\n4413 13134\n5256 14206\n11641 14658\n2664 13528\n7425 13155\n4359 8779\n9908 13274\n1080 6227\n7149 10854\n2040 8338\n5375 5426\n2079 13932\n5215 13596\n9741 14956\n711 1583\n1688 13117\n8148 8745\n10205 13115\n6939 14998\n6017 8337\n2603 6400\n6041 11639\n2978 7573\n8050 8542\n2769 4488\n7097 9222\n917 5678\n3296 5754\n3510 13518\n1388 15095\n5345 9951\n3493 15201\n1929 10402\n251 9286\n366 15392\n7362 12749\n9931 12186\n2666 3254\n9939 14871\n1358 6532\n5449 6687\n8823 9910\n257 13586\n6424 14936\n10624 13511\n7772 9612\n4261 8697\n3268 7499\n7218 7769\n5191 6750\n2236 10038\n146 11298\n4122 10782\n4445 5661\n11267 14793\n582 14851\n501 14437\n4591 14187\n9413 11470\n13586 13848\n1343 9413\n6401 11125\n3414 4773\n4241 6354\n3421 11935\n4651 10127\n7864 10447\n12254 12530\n785 6440\n9621 14292\n6485 13475\n10253 11531\n7214 7703\n12882 13017\n4063 15172\n10425 14790\n6474 8446\n4337 14020\n9259 11074\n7324 13964\n10633 15272\n8274 13675\n1193 5244\n2661 15416\n3788 8495\n9152 14164\n3568 5449\n908 14200\n12896 14099\n3294 9547\n955 8988\n4893 11980\n13216 15157\n6744 9737\n3875 7542\n3646 12044\n2203 4350\n5841 12433\n1806 11674\n659 4852\n4817 12026\n188 7297\n6941 10011\n1648 7389\n8912 10484\n3608 3884\n6230 9854\n9427 12292\n12704 12725\n2246 10333\n15332 15369\n13160 14641\n11249 12607\n3021 7334\n10036 14583\n770 1692\n113 13538\n1708 12132\n7320 14750\n1659 14509\n9254 10183\n912 3474\n13392 14533\n11120 12490\n419 15123\n2821 4861\n612 8094\n9954 13232\n5701 8483\n744 11738\n718 12700\n2797 6244\n5983 7810\n680 2076\n13531 13805\n6569 11128\n2111 15016\n3750 11963\n3870 11141\n5077 7870\n10709 14608\n5889 14656\n12046 14771\n4937 6823\n11411 13322\n4591 5907\n2079 8729\n2320 11041\n1305 8769\n1981 14642\n6088 10526\n3766 5037\n7074 12852\n9003 11819\n6929 6949\n14660 15204\n1644 13231\n2630 3444\n8065 13913\n850 11890\n647 4913\n250 6066\n13660 14001\n5031 5940\n7911 15369\n718 10532\n1544 10049\n1035 5089\n4424 5433\n5921 6067\n11023 13477\n3266 10986\n901 5722\n1177 9843\n5519 12692\n2237 9966\n538 9464\n2933 6108\n7576 9857\n6554 12212\n2892 10146\n4608 15496\n1575 13844\n1423 10732\n5264 12105\n7140 10477\n11092 11393\n11340 13360\n201 9231\n8011 12573\n8685 10941\n7976 11668\n12792 15246\n5777 6401\n8819 15276\n7274 10767\n2287 8483\n10983 11142\n5395 12279\n488 8324\n3004 15029\n6316 7069\n1818 3597\n1548 10167\n5733 8549\n5740 13854\n6313 10470\n1165 1721\n955 8359\n7362 8519\n6399 8788\n1108 12572\n6168 8798\n12064 14021\n5160 7197\n5609 10735\n11561 14424\n785 10298\n11395 15176\n7138 10471\n5195 9250\n9900 13315\n4132 10513\n2102 10582\n5174 8045\n2085 3063\n11586 12256\n743 7851\n1373 9596\n1612 7710\n1121 12981\n1035 4245\n6120 8049\n4066 9829\n11848 12977\n2902 7997\n2949 5120\n2729 13931\n5502 8295\n588 5346\n8705 15458\n3429 14656\n10945 13591\n1283 4807\n2948 8239\n10236 12007\n7640 12395\n11302 15378\n4929 15183\n2065 6190\n4754 7938\n9906 10172\n3036 8026\n5717 7837\n8781 8985\n12313 15131\n2980 15435\n14803 14878\n3395 7778\n9674 12183\n1818 12286\n2730 15364\n13194 13495\n1211 9053\n8989 12558\n3203 12073\n10332 14222\n7557 13716\n1833 12163\n2393 5794\n4016 11859\n4449 11519\n1204 3645\n5926 6263\n89 11193\n1052 7629\n1077 1994\n1708 12477\n8264 8346\n765 13655\n659 1278\n9618 11948\n12209 13022\n4664 10761\n7743 12947\n10836 14309\n5038 10589\n5083 5266\n525 9593\n6851 9257\n1625 12576\n2933 4833\n3105 4562\n6907 12312\n8986 14069\n270 1345\n1482 11216\n8060 14656\n2281 11527\n2426 8549\n12195 14000\n4949 15558\n11401 13057\n3206 3236\n5095 14213\n1000 12532\n1160 8441\n4242 8419\n2252 10566\n13142 13372\n1118 15116\n188 3192\n752 12287\n1369 14767\n1560 2150\n4752 6729\n617 10492\n589 5495\n10939 11476\n2714 11403\n419 583\n720 14732\n1287 9415\n260 8801\n12129 13282\n4712 8069\n9835 13441\n9085 15232\n4301 6029\n2809 13632\n12569 14420\n5171 8089\n4603 8709\n5413 10597\n8182 10012\n7882 10257\n8925 11124\n12374 14871\n1925 9206\n9337 15360\n5121 13228\n8127 12070\n8544 13258\n7244 10192\n4596 9830\n8585 12632\n3868 9543\n6238 15243\n4227 8495\n8244 9636\n6970 7413\n9798 12894\n5955 15128\n11138 14278\n6715 13980\n9537 10558\n3388 8986\n5454 5887\n6590 13417\n7498 7987\n6213 13014\n13909 14304\n3969 5783\n10114 11580\n12875 14049\n11200 11769\n13410 14378\n4440 8536\n12524 13316\n552 11036\n4545 11631\n4564 14274\n2855 7679\n1295 8104\n148 15098\n7635 12148\n9128 14114\n347 14454\n78 12195\n3650 10786\n5426 14667\n8629 14681\n323 4009\n9889 14104\n3313 3779\n7366 13269\n421 14473\n5084 8561\n6463 8510\n570 8191\n4003 8352\n1910 2299\n14090 14707\n12238 15125\n2117 10717\n2425 15299\n8524 12048\n5487 7359\n10306 15374\n5699 8894\n6312 9873\n1843 10594\n5269 11798\n8011 11855\n9851 11786\n817 10994\n2337 10595\n6849 8520\n9176 11044\n10104 12847\n13507 15626\n4589 5870\n6807 10796\n420 15229\n2991 13048\n8954 13762\n3558 7786\n7135 10428\n1935 7192\n887 12038\n3589 8442\n9437 11155\n1409 5735\n4753 11010\n190 282\n2950 8501\n6884 13070\n5988 7759\n2779 11170\n1510 12304\n8083 9611\n1724 6534\n8871 14910\n8944 11863\n1348 2902\n780 2425\n6011 7268\n4344 6175\n1039 7414\n1323 1784\n2365 11858\n5585 7006\n3560 9949\n4319 14283\n1131 4278\n2246 10142\n2554 3561\n6747 10246\n5545 13217\n287 5007\n7432 13502\n1379 15228\n3571 9743\n5716 10502\n14105 15528\n1389 5701\n3551 3734\n8848 10242\n2762 6249\n856 12545\n46 11436\n4463 5392\n2921 9899\n1614 7094\n3435 4311\n9367 12248\n5328 14685\n258 3138\n4517 8146\n1365 3093\n13593 14514\n7987 12028\n1904 2542\n3294 12278\n840 9524\n3940 11469\n2807 9635\n2822 7827\n2962 3059\n638 4496\n1973 9888\n5690 9886\n2214 3887\n2673 13806\n3207 6530\n9429 10660\n3467 14998\n13726 14740\n1755 3659\n5337 9812\n3799 9443\n7315 8438\n9426 11811\n2344 3303\n4165 6791\n7408 10873\n10029 10309\n3000 8876\n75 967\n2392 6101\n4792 8646\n2953 8769\n3723 7541\n5089 9818\n1674 9695\n5366 7654\n15308 15586\n6385 14969\n1900 5483\n5957 15500\n1719 5598\n1209 5935\n8884 14092\n207 1507\n3978 5891\n11826 15072\n8061 10046\n2564 13465\n7211 8155\n8393 12651\n312 14430\n1005 2921\n5313 11606\n769 9133\n4093 12179\n4546 9928\n5984 11201\n6277 11523\n9157 11778\n5849 10177\n6164 10352\n8085 14793\n4954 12075\n763 15368\n10266 12383\n1810 10890\n7017 7059\n4277 11225\n93 14529\n3398 13720\n4477 4518\n7515 10653\n2160 13786\n550 13430\n8936 15420\n423 8304\n1516 9004\n10705 11455\n6049 13391\n12149 13842\n1755 9246\n9927 10298\n1344 13700\n8572 11828\n8954 13142\n4591 7830\n2540 8024\n4436 11135\n3512 15004\n2394 3950\n2595 13020\n4445 12149\n2558 9824\n386 11478\n3299 10255\n3692 7716\n2160 9483\n5505 11456\n3801 11556\n2797 9500\n4406 9766\n12786 13756\n511 15419\n7187 10923\n13211 13504\n3646 15312\n8602 11302\n4237 14442\n407 13120\n9339 13725\n32 8479\n7027 7459\n9021 14143\n10913 14320\n4812 13272\n237 2835\n8556 13873\n4291 4349\n13240 13697\n7964 13803\n521 10264\n12618 15435\n8098 14100\n10584 12080\n3387 9096\n4002 6457\n760 9501\n393 2409\n4440 8294\n7574 13173\n6160 6274\n2197 5696\n631 3214\n13777 14862\n6158 15192\n2901 14898\n9443 12925\n4573 8675\n13415 14984\n7237 10936\n9753 11496\n10987 12866\n8196 11738\n2300 10127\n6880 9145\n8309 8333\n6602 15470\n8003 13582\n238 1353\n3002 3603\n3063 13586\n6386 10403\n2625 9331\n12826 13612\n4868 10782\n7787 14731\n2485 14770\n8459 9321\n4704 13154\n7510 9602\n427 10236\n5408 15569\n1764 4238\n12103 12642\n5355 11312\n10899 12237\n1243 9952\n5583 13363\n2498 9855\n3769 11357\n12319 15447\n8497 10388\n3913 8107\n3013 4285\n3684 14849\n1279 1376\n1331 1835\n5942 6736\n3292 14197\n10384 14717\n1251 1789\n6639 12614\n13368 14211\n3459 8272\n3784 10104\n271 5115\n7558 8486\n5991 10901\n4815 11503\n1561 4153\n4997 6260\n6999 12503\n11328 12996\n1860 6061\n2438 9814\n2190 8496\n12662 14066\n4184 13198\n1690 5578\n9210 13138\n208 7264\n4561 9304\n12211 13110\n624 13602\n3655 9588\n1465 8075\n9739 12109\n1320 3570\n2274 15650\n2875 9839\n11056 13471\n3421 11206\n391 8739\n10740 14678\n8905 15186\n503 929\n3202 4790\n5918 11841\n9237 11620\n12458 15653\n4048 4741\n4180 10907\n1710 1847\n3556 7627\n8539 8966\n4491 12794\n2729 15355\n2887 10585\n1214 2608\n450 4441\n1510 12874\n6040 12784\n6955 12126\n818 11465\n9484 10725\n2945 9005\n1358 2669\n6833 14220\n4310 12855\n3445 11609\n9614 9699\n6528 14715\n1894 14329\n10183 11371\n9149 11547\n1146 2244\n5191 13158\n448 8017\n7909 12054\n2707 3379\n9484 12953\n371 13121\n3836 13223\n2981 9175\n5470 10553\n3276 14978\n8548 10383\n7450 10694\n2720 8480\n3539 5901\n200 12250\n3586 12475\n12030 13380\n2662 9256\n2924 3950\n4341 10475\n11574 13424\n1460 15463\n5124 7100\n6147 9267\n4141 15183\n7487 14153\n4294 15394\n286 906\n9631 13849\n9079 13728\n7830 11207\n6167 6754\n7413 13304\n13713 14947\n349 7606\n9108 11690\n9490 12890\n338 11011\n4578 14674\n8329 14226\n1104 14641\n1569 14949\n2983 4214\n9985 15527\n3115 13752\n9412 11113\n982 14608\n4635 13952\n7376 10655\n7566 11493\n5907 6152\n1553 7056\n1194 9372\n1251 11397\n548 11133\n8312 9230\n13072 13109\n7538 12241\n629 4880\n12913 13658\n9713 9787\n10809 12262\n2657 14226\n7609 8625\n62 1709\n5126 8878\n837 5931\n13779 14132\n5069 7711\n7600 13383\n3131 11760\n3524 11510\n2012 3593\n4083 9437\n391 6846\n10284 10911\n3991 12650\n4282 8216\n3667 3764\n2016 8447\n11700 12606\n2688 13517\n5068 15444\n4098 6738\n8216 11639\n5316 15508\n14168 14830\n4459 10187\n894 998\n9364 13095\n13155 15328\n1271 4496\n10111 11377\n2775 12173\n9825 12403\n2987 11525\n143 671\n3389 13528\n2642 10254\n252 906\n8088 13140\n2686 12835\n12 7552\n1748 4758\n275 4029\n6573 13778\n10347 11677\n8990 10051\n7894 11525\n1036 5680\n3448 13778\n87 14597\n8738 11112\n1654 14325\n2427 2633\n3138 12658\n5747 9214\n2064 2937\n1448 9250\n7581 13430\n2856 4577\n1639 3280\n8412 15226\n5443 8419\n1906 5190\n5218 12363\n4749 12908\n6235 11888\n5562 12702\n3587 9745\n890 13787\n14974 15180\n2303 14812\n1268 6217\n1308 4689\n12687 14373\n3146 11284\n323 9936\n2867 14761\n11841 12768\n7585 14073\n1387 4902\n7839 14878\n8758 11879\n10923 15314\n6413 13277\n7382 15087\n10394 14797\n131 3852\n9206 15196\n10622 10694\n7699 13246\n8374 11933\n11787 12669\n752 9522\n100 3833\n10146 13601\n4315 4529\n8930 10293\n11345 12174\n2502 14381\n6101 9968\n8447 10845\n1375 12535\n5467 5856\n1472 3763\n1962 10025\n2037 12693\n4021 11120\n3897 14039\n3207 10104\n1326 15488\n12769 14146\n12792 13799\n1379 7307\n5970 15457\n2472 14149\n1080 4783\n11641 15223\n7036 8727\n1035 5345\n5315 6116\n3276 7690\n1048 8122\n1244 13358\n8789 11630\n864 7593\n2202 4704\n5727 12547\n283 5068\n3056 13599\n6751 9802\n5538 9327\n4751 12703\n3212 14415\n398 13415\n4772 7740\n2952 9531\n1862 14909\n1315 15121\n8477 13561\n892 9733\n7487 14498\n7565 11149\n2282 4334\n1865 2897\n6353 12172\n78 6429\n5612 11775\n4324 14079\n719 3396\n1915 6262\n446 13775\n8403 9251\n1025 10314\n8614 13240\n282 15660\n1759 13204\n7343 10346\n6885 7666\n8165 11165\n5591 11493\n7054 15394\n2182 10471\n1702 9937\n8806 8968\n4507 9097\n11359 13006\n11231 14685\n469 5617\n1601 14438\n3155 3551\n11152 11850\n869 2897\n5093 12815\n5198 11335\n3126 5367\n8677 12410\n2024 11862\n7297 13374\n6692 14389\n1936 4100\n12102 14508\n6425 14041\n4119 4125\n975 10400\n3100 15410\n476 2896\n9580 14300\n3702 14402\n7637 8926\n10163 10176\n1564 2530\n3683 15312\n10018 13323\n4256 7118\n11625 14888\n3785 11893\n11428 13889\n5663 9287\n1888 6172\n8110 14348\n808 10420\n4178 13917\n5826 11993\n3329 8350\n10139 14789\n495 8304\n520 2067\n9192 13928\n2012 8780\n6625 14020\n10250 11065\n3746 4639\n8090 10059\n5715 7223\n26 14850\n8688 13074\n12799 14464\n3650 10554\n883 3495\n3560 11455\n2294 12951\n1020 9713\n2634 9786\n7412 10453\n4383 5554\n3173 9969\n1957 3966\n2405 5941\n11999 15485\n1686 8114\n4601 15203\n1524 7002\n11830 14513\n2974 12382\n2855 6388\n5452 12159\n422 13293\n10379 13345\n14395 14849\n8574 12566\n10254 12185\n5420 13131\n2079 4629\n8100 10635\n4490 12021\n151 2666\n4882 8462\n8306 10077\n9636 15369\n510 2694\n12529 15130\n9300 9992\n3134 13031\n11377 15074\n8965 9120\n12483 14697\n4103 11935\n2833 4175\n862 7659\n5079 12897\n3595 14279\n1926 3286\n9597 12318\n10072 12440\n9441 13621\n1056 6332\n11776 14624\n2653 14921\n3608 11947\n3978 5515\n12589 14099\n5552 7707\n7542 14965\n1638 4261\n6381 14107\n6738 10215\n746 8299\n9978 11665\n2452 14642\n2903 3585\n2078 11188\n14088 15620\n10550 11206\n8355 11058\n945 7852\n2248 2583\n3657 8698\n4694 5341\n6705 14681\n11961 13745\n2700 12467\n4839 11859\n289 704\n8406 9442\n683 10870\n2626 14609\n10024 14788\n8311 10429\n8402 12469\n2735 4368\n7044 9071\n513 1359\n6402 9564\n7962 11262\n2699 7550\n305 14112\n11387 14383\n5916 11597\n9809 9887\n1621 4104\n8417 13824\n1640 4682\n16 5598\n8116 12748\n8469 14499\n7371 9177\n4518 8322\n2065 6701\n5579 7433\n558 2001\n716 6538\n11895 14562\n9306 11699\n2939 5612\n9436 10588\n1119 12434\n178 11531\n1500 2831\n9872 11690\n5195 15289\n2963 9977\n645 5352\n12195 15352\n6114 10971\n1103 6407\n4959 6539\n2859 15267\n912 8172\n729 11347\n4707 13913\n12791 14380\n4178 5018\n3613 6416\n1869 13199\n1467 4539\n3546 11222\n3164 5195\n5429 10726\n2022 11508\n2660 12421\n4883 12166\n7047 12598\n4064 5484\n1126 9744\n6818 7008\n7550 10760\n9640 13845\n710 1774\n8573 9796\n11181 15322\n2284 14357\n292 14290\n2944 3503\n1933 11934\n3356 4466\n5783 12452\n227 15250\n1660 9581\n10751 12250\n7009 12564\n1955 14732\n294 5450\n8840 10348\n9564 14530\n8616 12672\n341 4596\n3759 5668\n4032 8605\n5404 13702\n12899 13493\n7182 8393\n3499 13302\n6088 13326\n9743 10383\n2695 10723\n1279 2151\n2598 13528\n5509 10555\n648 10408\n5973 10128\n6476 8659\n1187 1352\n9712 11651\n526 5759\n1548 6731\n4731 14205\n6338 6972\n571 13310\n9019 9503\n2149 8763\n154 3923\n7078 10146\n5923 12376\n3023 6745\n8488 14500\n1693 13874\n3226 9476\n3090 7293\n3850 12881\n803 3827\n5409 8939\n6589 12999\n10106 12689\n14275 14977\n1366 5455\n7786 14314\n4307 13702\n3110 7741\n3118 6536\n3493 12224\n5171 15397\n14847 15644\n7447 9481\n13010 13622\n3663 11450\n3224 6761\n1601 8493\n669 8462\n1533 5580\n3538 5625\n8011 9607\n4364 8818\n9911 10252\n4099 15501\n4474 10577\n6934 11386\n1872 6477\n1139 9056\n6433 11090\n4717 14835\n1100 14859\n35 7507\n4597 11413\n7409 15630\n2166 4008\n12399 15307\n5125 8093\n6193 14524\n6858 13493\n453 2058\n156 7815\n2673 5163\n222 5156\n8103 11143\n11409 15325\n10342 14837\n1294 14318\n4815 14649\n1100 15052\n7059 13358\n4897 10574\n7655 12719\n8943 9382\n3218 3466\n2450 7314\n8092 15428\n4531 9547\n10084 14413\n1211 4476\n6930 6977\n3549 12737\n3182 6674\n9848 10195\n8462 9414\n5966 12913\n6283 10361\n2795 4289\n5953 12378\n13309 14615\n2771 11386\n3161 7858\n8969 13385\n1423 12157\n6423 9668\n10416 11728\n70 11184\n4759 14991\n7910 13646\n12403 14415\n7468 15552\n2113 7944\n3289 11941\n646 6328\n4371 10700\n3937 14097\n4693 15161\n1281 10378\n7473 11864\n7585 11511\n42 6000\n4780 12435\n14813 15609\n1914 7356\n13471 15650\n8623 11884\n6207 14403\n2986 10187\n8581 11432\n906 8792\n1857 2890\n1419 7943\n2858 6477\n8850 15561\n4683 6169\n822 3142\n217 11883\n9328 12605\n555 3027\n79 7007\n9095 15486\n12892 13990\n2552 4362\n6486 10543\n546 2908\n61 12170\n11690 15380\n3370 10855\n7068 8073\n9512 14643\n6589 12049\n3420 7166\n8767 10968\n80 8387\n3488 4141\n7738 8751\n271 2655\n11 854\n3884 14936\n5554 7214\n5478 9741\n3939 5849\n519 14177\n12967 14312\n7252 12332\n12196 12632\n4211 7437\n14987 15438\n10381 12757\n3146 6579\n10789 13199\n3071 10915\n563 13341\n6651 11168\n1968 13539\n9577 9723\n4159 14420\n1823 12239\n5524 10121\n584 8235\n5779 7025\n2764 13134\n43 15134\n2066 14255\n532 11993\n1172 12996\n2162 7434\n12508 13570\n3177 10361\n12114 14612\n7900 12052\n6163 15349\n2625 9060\n4511 14793\n10591 14586\n3670 12288\n3789 7582\n7182 10292\n909 12114\n1542 12229\n10227 13484\n9936 12813\n8025 13066\n3246 15217\n1164 9378\n5967 9741\n3507 8309\n752 5887\n11871 15357\n9173 14196\n1976 10205\n2271 11579\n4629 12762\n11240 13703\n7181 14832\n11770 11802\n6306 10403\n1234 8498\n7545 8486\n4847 14921\n11855 12780\n2338 14480\n555 6614\n11809 14239\n3217 9805\n7284 14482\n4973 8218\n9141 12389\n7203 14392\n7968 8925\n1672 15178\n5586 9857\n7 4165\n1857 14983\n13479 15313\n2656 5298\n5548 10235\n13605 14051\n1174 6787\n7907 13937\n3369 9109\n304 8691\n11083 11873\n2886 4999\n8487 11692\n2611 2808\n11289 12405\n2952 10984\n10539 11493\n7690 12440\n6207 8728\n6306 13501\n5142 14442\n5883 8361\n2857 12243\n11069 14829\n4018 6599\n10809 15042\n5288 10723\n7145 12985\n1672 3403\n1689 7399\n323 9708\n986 4818\n106 13678\n702 14704\n141 4423\n2126 3615\n4414 12021\n3006 15141\n11478 15549\n2887 8662\n4908 12034\n1034 6053\n11778 12867\n1857 12507\n11722 11798\n5176 6546\n9775 12355\n5622 12459\n46 9385\n198 2716\n10189 15545\n1018 5628\n2416 5051\n2234 13519\n5371 14061\n1792 15054\n14040 14652\n4000 5749\n5088 8920\n9199 9268\n3331 5098\n10680 14313\n554 5714\n442 2097\n386 4658\n325 2598\n5035 14869\n10174 14162\n11409 15513\n6121 13772\n4934 9068\n11319 14506\n12023 14874\n2815 11022\n10586 13350\n5564 12354\n2297 14736\n14488 15169\n7586 8229\n1366 3034\n5218 14391\n4140 8375\n8671 13515\n10364 15302\n55 13812\n12254 12710\n12299 14918\n4514 10432\n2098 9429\n57 9399\n8289 12676\n2466 10936\n7649 12577\n1439 15239\n7212 15029\n2367 8899\n5869 11745\n11372 13386\n13907 15321\n1138 13787\n1222 10127\n6545 10932\n1582 11371\n3027 8654\n86 3194\n4318 7027\n7848 11633\n7773 9740\n2923 10092\n3173 6289\n10165 12554\n2155 8294\n8395 8523\n12505 15017\n777 14908\n3401 11123\n6968 9550\n13166 15249\n6829 7647\n5883 7557\n9366 11950\n7995 12823\n970 10961\n12 13326\n5922 7448\n11369 15480\n7338 14199\n798 3490\n3827 7428\n2934 8676\n3005 10230\n5253 8735\n3466 14520\n10174 12087\n12426 15627\n11196 12640\n9650 14841\n4115 8618\n7082 8623\n332 15462\n10299 11178\n137 326\n11949 12973\n3185 3483\n11560 14075\n7751 10259\n1519 7994\n2262 4239\n9018 13537\n8630 14238\n1793 11539\n3812 6892\n2017 14108\n3044 11866\n8014 8733\n7088 13527\n3079 6696\n5278 14711\n7102 14826\n9624 13812\n12003 15416\n9153 12626\n5460 15044\n4944 10639\n7693 13996\n5022 10001\n5572 7603\n7023 12543\n5048 6893\n766 12469\n1802 14817\n3737 14227\n608 7816\n6560 11500\n4511 6555\n4323 7634\n13328 13570\n2918 10806\n2060 11048\n6709 7507\n7032 8806\n7135 11078\n107 5129\n12164 12216\n5234 9584\n3105 3119\n10470 12361\n2940 4260\n2587 12870\n10533 13669\n3566 12471\n2331 4809\n1214 1606\n11087 11474\n2139 3110\n1148 6668\n12467 13210\n11126 14739\n10883 12587\n2891 15547\n4012 6088\n4750 13929\n4288 8218\n122 7436\n7580 12501\n9340 14473\n183 1850\n3302 15268\n12486 14153\n541 14895\n4302 11153\n1884 5726\n11091 14358\n3753 14854\n2906 4013\n2157 4055\n7 12899\n6892 8614\n6497 11326\n131 15095\n2298 8672\n4545 11102\n6762 15548\n1665 5303\n366 10327\n7540 10112\n13821 15394\n2888 8462\n5991 8863\n1146 7411\n4254 8811\n4755 8900\n3434 5083\n4283 15091\n2873 3926\n9725 11191\n4012 9082\n7619 12261\n331 4457\n7345 9794\n9475 10365\n7639 12894\n870 5824\n2986 14475\n3460 12470\n9779 12273\n4772 4779\n898 7585\n1785 13383\n4069 4850\n8062 14748\n1963 12194\n1519 15605\n7296 15044\n980 9824\n5126 14762\n2438 9033\n58 8984\n2792 8020\n562 4185\n2520 5654\n1855 4021\n76 14430\n12672 14858\n2160 13213\n6975 13293\n4153 13724\n4221 13380\n2875 10918\n756 10955\n4160 8226\n4627 6575\n1258 9515\n8271 14540\n5223 11704\n7890 12258\n1386 12738\n6184 11077\n3492 14185\n5167 13933\n10852 11331\n12484 12710\n495 7895\n9411 12558\n2613 3205\n3960 13266\n8025 14329\n3426 11235\n10319 11412\n665 10991\n4447 6289\n4870 5090\n2648 6082\n1455 4459\n3820 14500\n3979 14048\n11695 11886\n2035 8655\n10720 10920\n1205 7409\n548 9394\n2804 11474\n6496 14613\n1192 11039\n1035 10569\n9537 10369\n202 1804\n6566 14992\n8407 9922\n1841 14196\n6166 13439\n13028 15399\n5379 14435\n6221 10197\n3674 5334\n334 6947\n655 2969\n8375 9089\n3380 4780\n8622 9804\n9081 12036\n5201 11119\n511 13968\n677 15108\n4524 8958\n5882 6012\n2053 11442\n10022 10326\n3099 11623\n8435 8554\n9843 11124\n3383 7188\n5787 7164\n12394 14254\n135 12975\n12722 15127\n4107 7123\n304 484\n930 935\n3340 7596\n2269 11933\n1717 9374\n7843 14977\n12230 12767\n3102 8904\n2775 3317\n2945 6934\n7171 15338\n2547 4346\n1074 11744\n1147 12940\n1926 9698\n6863 13197\n993 10044\n4912 9379\n2515 7057\n12403 14414\n6896 7838\n4005 6680\n2020 13837\n607 10838\n3129 9768\n3332 8880\n12016 15555\n2470 10279\n2204 2676\n4348 10646\n9487 13269\n597 10144\n3401 4267\n1621 2546\n12416 13628\n803 7430\n512 1699\n2280 13915\n1686 14037\n9592 13933\n2250 3469\n6254 9985\n7744 11046\n7347 15411\n3342 7069\n6148 11720\n12846 15379\n5521 15329\n10651 15429\n8518 12760\n3750 4982\n2957 13155\n7249 12994\n7217 9273\n3384 12910\n2927 6785\n2538 12382\n58 13522\n5848 7236\n3602 7990\n426 13811\n2718 3028\n3115 14253\n6349 12427\n3019 10612\n591 8818\n5384 15508\n4002 5564\n1082 3433\n3902 8526\n4771 12756\n483 12960\n5122 7734\n8592 15429\n2577 12689\n5682 13053\n3244 10023\n3250 8388\n8767 13155\n9042 13613\n1500 4363\n795 10740\n11390 13163\n2191 2546\n4931 8039\n12694 12997\n1540 5767\n7127 8320\n5549 13239\n2292 8394\n12842 14133\n8825 10897\n14276 14801\n903 4106\n8170 13937\n5834 7208\n3410 11959\n10200 15593\n3428 9692\n392 718\n8445 14145\n6833 7413\n2528 11286\n6964 13918\n1358 12692\n6870 14240\n5533 11814\n6437 14474\n7515 12559\n8167 14473\n2387 7531\n9045 11233\n368 3779\n3593 11385\n12799 14895\n719 8006\n181 8946\n4120 10068\n12340 14408\n27 9468\n739 9286\n6968 7366\n2016 14557\n13966 14633\n2163 11102\n7341 9053\n1639 15139\n8458 9695\n746 10835\n6308 15567\n7987 12489\n5478 10102\n4700 4713\n13240 14842\n3539 8543\n545 4646\n341 11433\n293 12987\n13133 13881\n4076 11691\n3402 12360\n2143 6026\n10018 11057\n4876 11310\n2185 12543\n1800 13598\n961 10246\n1106 15171\n4148 4434\n9610 14545\n9676 10398\n1149 4440\n4239 12286\n5379 13195\n8724 10993\n758 7176\n8556 15133\n5451 9340\n8833 14973\n2214 12035\n5037 11640\n4072 14239\n4319 5860\n938 11864\n7017 12078\n1320 2592\n2170 5488\n4907 8208\n6240 13900\n9245 13525\n636 6329\n2503 11461\n6336 9072\n9959 11698\n4661 8638\n6089 11887\n1119 10253\n5152 8354\n5862 14851\n10293 12735\n8282 9774\n1312 7532\n7016 13042\n6593 11708\n1945 4932\n6777 12508\n4110 9035\n11725 13696\n1549 15133\n11341 12042\n2888 4191\n2200 5708\n3765 4640\n10125 10408\n6168 15211\n7453 10784\n8842 10622\n135 12034\n5913 11569\n10219 15416\n6138 11268\n1343 2214\n1567 8153\n1532 7450\n7740 11371\n4589 6045\n6598 7349\n5627 13640\n3156 15039\n5914 9288\n1146 3644\n7124 9096\n7391 12112\n14986 15106\n4872 11852\n1115 10173\n4310 4786\n1510 9070\n2691 6415\n1633 14790\n907 8433\n1790 5891\n7781 11621\n11811 12972\n1197 13795\n754 3381\n7650 10984\n1361 3768\n6857 13807\n6088 14872\n6087 12730\n2920 13764\n1475 3345\n13319 15517\n1360 1640\n8410 13705\n947 2248\n5050 12065\n8841 9543\n2096 5318\n3133 5408\n3758 14724\n11156 12648\n4455 4799\n9449 13865\n7574 15048\n262 14204\n9594 13265\n1662 8710\n7699 15215\n5957 8810\n9038 11381\n192 6452\n5144 5419\n3003 12666\n6579 15561\n1190 4593\n181 1695\n11680 15564\n94 3569\n1831 8040\n1832 15386\n2369 11851\n1126 4376\n6614 6921\n7010 14879\n5484 10708\n6925 7009\n7185 7194\n11439 15043\n12383 13376\n646 6758\n2154 2418\n5495 7716\n549 6921\n2419 8012\n2975 7335\n654 10765\n432 2533\n6836 11215\n39 14841\n4202 11243\n6489 13650\n2974 13758\n5368 9963\n3004 14920\n2944 13126\n1030 2459\n4981 5124\n2269 10661\n500 13267\n3216 8169\n6071 7795\n1194 14412\n6815 15225\n868 5068\n11654 14104\n7136 11922\n2339 7826\n1660 7024\n3071 4360\n4046 11187\n5316 14728\n2158 8971\n9072 14129\n7920 9403\n3140 5994\n6975 11456\n10774 12900\n472 10931\n4164 13998\n2323 7452\n2560 6053\n6071 8633\n4614 5837\n6343 11208\n3471 13428\n4407 13454\n9314 15509\n3201 14117\n13432 15385\n551 8632\n7313 8651\n7881 12412\n5936 12592\n2116 8129\n9636 9704\n5980 12171\n8002 9484\n8016 13636\n4472 5911\n6196 14761\n3797 7760\n5148 14525\n4111 8658\n347 4907\n7000 10184\n1285 15306\n4133 12673\n7497 15026\n3081 14143\n5179 13058\n5513 7776\n5314 14085\n1341 13464\n10897 11469\n13039 13776\n1300 9698\n627 6361\n1295 3350\n3757 6764\n6090 12315\n2950 11472\n6299 11716\n4800 15027\n8711 10141\n3024 4885\n1119 3597\n10322 14851\n3080 7132\n12072 14534\n2770 3693\n5877 6859\n8857 10705\n4787 10743\n5385 9116\n4705 7552\n5371 5861\n2870 13546\n1099 8800\n2687 11475\n6751 9619\n1530 3043\n2826 3808\n8112 8292\n11752 14437\n13143 13194\n1552 15006\n4886 10395\n3975 13828\n13271 14797\n818 11682\n420 10356\n2446 10207\n270 1660\n5996 14649\n10470 13506\n919 14907\n1614 10336\n1304 9286\n2239 11989\n394 8952\n5508 9859\n6443 11877\n7117 12146\n13370 14641\n3071 15189\n14777 15054\n860 6232\n3545 13335\n3027 13154\n1180 11380\n636 13674\n4643 13195\n3783 7242\n4707 15298\n1558 6081\n2620 8420\n1207 11101\n8510 8648\n5926 14563\n2066 7432\n8106 12478\n5084 11745\n9609 12980\n12882 15636\n5460 5470\n10566 11249\n8402 9697\n8887 15181\n6376 7280\n8029 14210\n890 8566\n3451 12245\n11454 13889\n5026 15207\n8377 13896\n7624 8199\n8214 15305\n10815 15446\n3735 12289\n8136 12093\n3806 11212\n3720 4064\n2505 13903\n5508 9132\n4894 12240\n4246 10822\n6818 14868\n1416 5717\n11880 13482\n1234 14928\n6187 6258\n101 1778\n3263 9502\n12922 13197\n2899 14154\n5691 13967\n8901 11426\n3387 4947\n8886 9457\n1990 9337\n4309 4978\n9056 12190\n10396 12793\n6770 14543\n8552 9884\n2551 8730\n4293 8585\n3758 5074\n2621 3114\n4107 10281\n9352 13731\n3170 6388\n1121 7477\n167 14035\n1284 4615\n3121 3676\n1009 9262\n1421 4205\n7409 9071\n371 2359\n9142 13337\n14401 14834\n13283 14607\n242 12542\n3768 7755\n12438 14005\n779 11946\n1945 8726\n1124 14610\n9789 15174\n8817 14480\n5577 14851\n4380 4939\n5103 10956\n9856 12587\n5505 10142\n8120 14947\n11871 13911\n9543 9675\n4176 4263\n3132 10873\n9598 11916\n4189 8672\n1493 10534\n2208 7315\n3615 11423\n4899 7105\n7239 11061\n14620 15583\n891 1073\n10433 13244\n4122 5697\n7466 13633\n6517 14355\n6121 13789\n1645 2239\n11051 12999\n9224 11862\n1891 5218\n2936 7361\n24 15533\n35 1797\n906 8412\n3342 11907\n730 3567\n10890 12473\n4206 10021\n8003 11432\n5422 10667\n4020 8488\n9670 11233\n9629 15437\n5472 8370\n5464 13049\n4901 15057\n2099 9589\n14003 14846\n3178 11016\n7633 11528\n1023 5241\n5496 14615\n4931 14069\n9951 12771\n3597 11922\n961 4225\n1248 14078\n1908 14522\n8671 12396\n9779 15345\n9835 13097\n8073 14115\n6641 10277\n3637 4518\n2362 2514\n2340 9636\n332 9662\n6841 7715\n341 14561\n6242 14202\n5736 12560\n6820 12195\n695 1585\n8421 12282\n9735 13390\n6970 14406\n1659 13541\n9479 13229\n519 2309\n1652 9409\n1744 3681\n1599 5778\n5729 8249\n6434 12124\n5737 10023\n3354 11077\n11838 14429\n6905 11911\n13110 14715\n3185 6060\n9286 9426\n353 11500\n3592 6524\n13954 14840\n5573 14247\n6159 12115\n8877 12449\n4854 14303\n5736 8550\n1889 12194\n1132 6345\n296 14550\n1761 4528\n3878 9846\n10311 15268\n6058 13124\n12509 14996\n2154 10484\n1287 12913\n3175 7292\n2543 14889\n4839 6920\n5450 14428\n4287 11545\n9610 12230\n12053 14905\n9486 11180\n4613 11670\n3167 14720\n7296 13501\n2353 15086\n2200 4262\n13311 13620\n3872 7945\n1088 7869\n1027 2682\n6877 8231\n2241 9187\n1486 9286\n970 5860\n4837 8911\n961 12673\n10200 13140\n6840 7521\n5356 11290\n12689 12833\n4203 6941\n1502 8067\n969 2335\n10876 12743\n10812 13757\n1296 10713\n2814 11313\n6101 8983\n1585 2344\n644 7182\n8436 11048\n1853 2220\n13 10105\n8154 8198\n9068 10002\n6089 10209\n2425 15422\n1110 8114\n6103 6714\n8373 9573\n8874 14544\n1707 4407\n15487 15563\n1745 2228\n1129 9641\n691 900\n1084 8946\n6441 7380\n7416 12563\n12803 13245\n5146 15543\n954 3710\n4682 14233\n2751 11007\n7409 7725\n60 14701\n2415 5291\n7792 13508\n5513 7013\n12092 12147\n2095 9561\n1611 9388\n2291 12694\n1081 6052\n4710 12743\n10893 12195\n1022 3834\n5751 9256\n4790 13725\n10398 14396\n4506 15276\n7681 12669\n4279 6982\n1408 3188\n4070 9166\n653 9610\n1553 8983\n7246 10638\n3190 11644\n2183 4796\n2805 14617\n4367 11589\n7464 14335\n92 4984\n1397 12069\n1004 15571\n6315 10977\n4649 15089\n7294 15367\n6023 10676\n8432 11355\n149 11033\n13149 14501\n7760 12136\n4753 9280\n5512 9141\n12064 12758\n4091 15565\n4721 6947\n2494 12665\n6065 15437\n3547 8687\n4776 14076\n7365 14606\n689 4711\n2522 9556\n347 367\n360 2437\n7967 11833\n2553 10662\n5062 7820\n4814 6343\n13811 15218\n4759 5779\n5291 11297\n4104 5122\n855 6793\n8329 12445\n5011 12576\n7405 14226\n11014 15520\n2870 14257\n3386 12040\n3978 9908\n5254 5403\n4992 6500\n2172 13398\n2705 12689\n4788 7091\n8465 9092\n780 2823\n3742 8474\n12781 13212\n989 3826\n4635 5359\n4489 5596\n3007 10621\n4167 14851\n112 8124\n3393 9899\n2889 9124\n1717 13222\n10546 12536\n617 5531\n3307 3532\n3236 13016\n2398 6631\n5263 6707\n9097 9504\n6409 11280\n3319 11166\n11174 13890\n954 9070\n2052 10659\n10570 13529\n4360 9805\n2770 6700\n3080 14673\n3492 6109\n5160 11187\n1871 9325\n11366 11782\n7313 7587\n4689 9859\n4760 11410\n13148 14320\n13531 14893\n3662 5549\n2536 5268\n7704 9258\n6587 10321\n3393 11708\n3467 13672\n3220 8573\n4170 6591\n564 5041\n3048 4766\n9867 10258\n7154 10701\n1419 9740\n10189 11289\n3241 5322\n13831 14060\n10306 10828\n10067 13182\n4218 10349\n11028 11803\n5182 12883\n13096 15361\n6010 7902\n2048 4494\n2795 8056\n5823 13503\n5342 6391\n5923 11330\n7473 12401\n1393 7931\n5829 10709\n11218 13810\n7926 12794\n1446 8337\n890 5919\n676 14646\n12600 12985\n9024 13296\n9342 9608\n11913 12292\n1709 1974\n3757 10397\n6146 9978\n696 5240\n14046 14922\n97 2392\n5329 10856\n2721 8361\n7330 12434\n9593 12263\n1969 3407\n714 7392\n12935 13919\n6912 9359\n5703 11697\n3989 8113\n7898 8765\n5866 12890\n7197 8401\n10356 15460\n550 3675\n1378 10641\n4999 7497\n12620 13737\n7128 12750\n2917 11354\n1481 7831\n6593 7330\n11059 12663\n3313 11789\n5992 14363\n3639 5064\n543 12444\n3187 13318\n6934 9863\n3566 5211\n3773 13128\n1851 7206\n8686 9035\n12871 13716\n678 2199\n10476 14392\n934 1157\n2635 4845\n6431 12577\n7270 9217\n1883 15377\n5622 10764\n7432 12240\n6813 14012\n4730 13705\n9725 14723\n4147 14668\n9837 11219\n333 11041\n1481 12773\n1711 7457\n242 14037\n9817 12121\n2997 7706\n3084 13728\n10640 12855\n2422 3916\n2920 7739\n2024 13403\n2132 5932\n4883 11530\n83 8872\n3380 3734\n271 490\n1003 1343\n2454 11037\n4485 6825\n2373 3773\n7225 10545\n10570 14336\n1981 7797\n1647 14517\n5780 8241\n7848 10540\n6950 15459\n7708 10925\n7998 12115\n5536 8295\n14179 14579\n1372 15515\n3161 12999\n9982 10368\n3389 3735\n2066 4607\n4160 5475\n3946 10486\n13546 13696\n817 7106\n2429 9599\n1104 15171\n403 7054\n368 14623\n6936 12486\n2200 10330\n1176 4991\n298 1147\n10093 10995\n2325 8612\n7287 12428\n2183 4105\n4182 11305\n31 3481\n4505 8684\n728 8888\n6988 11940\n749 11777\n12224 13178\n5021 13222\n6657 8110\n4486 5972\n7546 10816\n5225 14810\n7716 9442\n2620 5360\n3501 4199\n3164 10663\n2686 4956\n4808 12502\n312 4493\n5326 15222\n4149 5809\n8744 13649\n2861 5655\n7326 12743\n8246 10956\n3858 5797\n11101 14359\n6957 14270\n5060 9337\n438 14898\n11169 14240\n441 14818\n11591 12862\n6596 7919\n3678 12013\n1155 3769\n6693 14841\n3754 8637\n4535 9800\n4562 7275\n167 12409\n7270 7482\n1375 2501\n10555 13615\n5981 6437\n659 3603\n10741 14546\n6907 12979\n10763 15395\n481 15222\n10691 11505\n9609 9638\n1545 14560\n5155 10634\n6179 9959\n1076 6639\n5988 8258\n2476 6859\n7603 12256\n8266 11505\n10505 11006\n1231 3327\n559 2952\n1377 13271\n5791 15602\n10273 14652\n4870 12565\n9127 9141\n1624 9594\n2550 7934\n520 3676\n80 2744\n2274 6182\n2688 13169\n5491 14801\n11387 14066\n835 1723\n3387 15436\n7102 14116\n711 8716\n1305 3037\n5782 12147\n981 2605\n701 12559\n7561 15660\n6817 11467\n7542 11969\n4566 13169\n4744 12826\n7022 11399\n1075 4941\n2298 14704\n6063 14188\n5188 7487\n1324 7574\n1088 7010\n3408 14383\n8410 9503\n11640 13928\n1550 14765\n7162 8764\n5870 8364\n3798 4088\n5467 15091\n9113 9915\n4564 11558\n10720 10836\n6195 13739\n2801 15560\n217 2081\n3812 8768\n2327 9956\n8644 11377\n6320 6620\n1779 3204\n694 8351\n2046 3941\n9152 11591\n762 12664\n3696 7979\n9791 12316\n2866 15398\n6325 8413\n9340 9652\n805 8433\n553 15480\n6328 15432\n1723 13064\n1356 12005\n5490 5548\n1071 13531\n11424 13323\n4599 14435\n9613 10691\n5026 12778\n11011 11442\n233 15620\n2424 8754\n9041 11832\n324 3491\n5050 11600\n14316 15110\n11969 15345\n8277 13346\n8230 10484\n3062 11232\n7255 13872\n5352 7105\n2335 7552\n5864 6593\n411 13119\n4926 7990\n10112 15046\n4518 6303\n2939 5563\n242 13112\n9152 12035\n1099 6733\n3798 7284\n4023 13583\n10437 12694\n7808 8921\n2031 2638\n6121 15475\n10826 12973\n7308 12848\n9093 10271\n2003 5180\n1343 5804\n6351 12507\n712 6173\n4666 7527\n3045 4825\n1666 13544\n2510 12797\n1107 11387\n2698 12694\n11916 13452\n2126 6896\n5928 7702\n3160 12219\n4500 13227\n4753 15219\n3036 6208\n5562 11010\n5121 6170\n3412 6595\n166 8724\n6933 13013\n2866 13607\n9164 13931\n6936 9448\n3186 14006\n13517 15388\n2260 15488\n2671 13169\n27 9614\n1251 11198\n1486 2192\n1924 8285\n8203 14321\n6755 6903\n4518 12853\n15257 15259\n2753 7171\n2966 14110\n11625 12123\n12629 13154\n8943 11330\n3023 10622\n1089 2456\n4813 12399\n1417 8916\n12299 15357\n9805 13408\n1493 13833\n1563 10372\n2481 2706\n3598 5309\n1722 6463\n13684 13712\n9503 13041\n2025 6472\n2256 3827\n3620 11816\n1259 5961\n4524 14720\n6899 11839\n971 5232\n1868 9561\n5236 15356\n12210 15556\n4875 13192\n2956 11068\n2723 2845\n11901 15379\n7528 11539\n3967 13562\n6936 7504\n10761 12828\n9425 9935\n11511 13161\n4612 8640\n9492 10731\n6879 13498\n5970 10457\n10901 11330\n4530 15321\n4142 12026\n1881 15098\n7829 12878\n12292 15396\n6350 11052\n662 5160\n8255 9429\n2510 14382\n5537 11371\n12944 13747\n1115 4084\n244 8737\n6042 8862\n7572 12484\n2491 8234\n202 7253\n3558 8621\n4553 8403\n513 12074\n2545 3405\n4165 9091\n1948 14519\n9583 9765\n1018 10980\n11006 15265\n7775 8686\n10836 14443\n143 7317\n5564 7087\n6044 9721\n7077 8317\n6510 11465\n4256 6355\n8758 10697\n11475 12236\n5388 14501\n3652 7998\n8256 12686\n4813 7523\n6831 8922\n4098 13086\n9470 12235\n5510 13046\n1499 14205\n2231 13805\n431 14992\n11046 15557\n13465 15430\n984 5919\n823 15110\n3495 5341\n6737 15302\n12072 13410\n5405 13704\n12912 12958\n1187 7020\n9243 14069\n4873 7778\n1210 15274\n10076 12191\n1799 7523\n11306 14670\n12099 14596\n4969 8546\n4482 14171\n5531 6151\n1390 2787\n13190 13298\n1344 2572\n13842 15423\n4630 5204\n9850 12912\n4069 11438\n734 15461\n7005 12278\n11859 15142\n9942 14491\n11945 12371\n2812 8195\n4349 15171\n1318 6297\n5850 8939\n3420 11524\n6423 13253\n1696 5683\n3643 5194\n7378 8072\n2024 8675\n10912 11826\n3418 5942\n7633 14863\n1295 5665\n2884 7945\n14612 14886\n664 7367\n7212 9375\n5260 9677\n373 14732\n13603 15521\n7917 14410\n13941 14624\n4909 9270\n1777 10435\n2013 10461\n4394 10275\n7559 12540\n280 6288\n8181 14495\n3471 10634\n330 9560\n9120 14146\n2882 6499\n981 7654\n13487 14257\n8058 13003\n3929 13669\n14163 15198\n2732 11413\n237 8445\n7111 14089\n5393 8006\n3404 5645\n6692 11326\n10526 14900\n14264 14584\n6636 14863\n2876 8176\n9872 12306\n10836 11184\n8112 12657\n9073 10757\n421 9597\n242 7924\n1726 8262\n14539 14879\n13208 14190\n1525 11809\n6581 12235\n9267 12931\n3678 6716\n3103 6832\n6076 9637\n4436 4714\n3786 11436\n4358 7903\n1660 14285\n7487 7936\n1260 5965\n3549 7072\n11262 15234\n2367 3265\n6213 9080\n298 10752\n6768 10406\n6845 12485\n918 14083\n1826 11542\n2206 9475\n897 4672\n6582 7852\n2633 7962\n333 11908\n12029 14640\n668 13532\n1697 10956\n7657 12248\n3887 8474\n70 4692\n5657 14090\n2030 8074\n4583 12710\n4949 6320\n2447 7640\n11871 12308\n548 10148\n10570 11229\n971 5946\n3678 12064\n7788 11447\n6893 9548\n5792 9003\n2789 2964\n10150 14729\n5817 7665\n8963 9534\n5338 5959\n4378 7460\n1439 3801\n5088 11166\n1604 3668\n4138 15313\n3787 6895\n9417 9833\n4108 9988\n3706 12322\n6452 6700\n2429 3746\n3719 6998\n7053 12088\n4506 10634\n8118 10716\n6667 14929\n9326 14989\n1790 5194\n7943 14996\n686 12569\n2597 8467\n10808 15270\n11334 11514\n1141 6132\n17 13206\n3914 10907\n410 3973\n5958 6359\n5815 10635\n4514 9859\n9006 9122\n8631 9622\n5196 7973\n4127 12414\n9167 11861\n836 13933\n1648 13357\n2873 8514\n6256 12614\n10621 14309\n71 13214\n5527 10905\n10277 12124\n4178 8720\n1289 13803\n5900 14822\n3911 13213\n13508 14739\n3568 8330\n11511 13747\n10246 10978\n9874 11707\n4695 7135\n14572 14640\n3821 6029\n13966 14634\n498 1584\n9505 9742\n1459 9256\n9475 9750\n2472 13492\n4447 12714\n40 10261\n5657 14815\n5371 7829\n6331 8564\n4275 9641\n3401 15189\n7919 12657\n3281 11784\n6611 7752\n854 3643\n4404 15286\n2387 3622\n1742 7400\n2995 9286\n9768 12288\n10156 13159\n3162 7646\n8377 12500\n4151 13647\n6676 14204\n10626 14884\n1523 11445\n2351 7331\n7605 13285\n4970 8098\n7831 15184\n8414 15303\n1017 3853\n37 404\n7494 11643\n11654 13777\n3657 9735\n3154 10477\n8519 14900\n3255 13266\n2609 14333\n14495 15384\n1318 8580\n1789 10756\n9886 12934\n6713 9637\n5367 8489\n6848 14211\n4076 7681\n8803 12048\n2149 14555\n10802 15163\n6636 14713\n4246 8036\n1529 15516\n5925 13393\n3413 15329\n165 6133\n3778 13069\n1404 7870\n488 1368\n3087 11885\n3169 3486\n4151 13279\n1809 4884\n2216 13148\n1126 13491\n4915 7779\n5838 10465\n2770 2857\n2339 4681\n4042 10265\n8721 10352\n242 5620\n971 8745\n1319 3579\n10331 15482\n11223 12637\n7019 11059\n19 5464\n5131 14911\n1827 13342\n1068 11972\n4021 13320\n348 8087\n3159 13326\n2488 14594\n9407 11105\n3494 4866\n1324 3205\n13893 14732\n1169 1183\n3174 5874\n11022 12823\n11469 15598\n6619 13425\n9523 11189\n1316 5713\n6135 8894\n3360 4496\n775 7938\n2157 6845\n213 11522\n7093 10907\n11696 13791\n3899 9875\n4518 12496\n2076 2632\n9782 13528\n3211 4828\n6049 6221\n8896 13578\n4061 8764\n6053 13078\n2978 5898\n8246 13099\n4814 5323\n6258 15568\n4772 15299\n12263 12555\n1783 11397\n2302 4781\n5479 7852\n2336 12410\n9438 13625\n8072 11279\n4835 4869\n13 12600\n4377 5768\n3062 3133\n12229 14703\n6575 14810\n11219 14454\n2193 10814\n10837 15499\n4386 13943\n12613 15014\n1365 3622\n3574 13999\n4244 9914\n1958 6512\n10189 11912\n4743 9889\n12477 15487\n242 12349\n4 10852\n6374 6766\n2465 6066\n6325 9083\n6502 7364\n5215 15575\n758 6111\n8128 12359\n1431 9358\n1026 6211\n1766 8683\n4730 6750\n4322 10944\n8905 12550\n3375 7681\n1309 15389\n8642 10888\n229 7257\n10632 14698\n10876 11437\n2598 15269\n1043 6119\n12074 13903\n10229 11123\n1320 15286\n4068 5011\n5726 13752\n10554 12626\n198 2660\n1101 8218\n3783 7698\n9326 15003\n5635 8933\n4593 12011\n5667 7462\n4606 12524\n9761 11684\n9636 12520\n8661 11142\n5307 7978\n4542 5697\n3667 13793\n1251 1495\n3787 8806\n153 15454\n7481 13149\n5467 10202\n414 10587\n6568 7918\n7619 14351\n1031 6687\n4810 10417\n1076 3634\n5020 7197\n4940 14195\n2940 12095\n2765 8504\n5445 13757\n1454 6289\n4440 11267\n8858 12604\n12399 13587\n4975 9978\n1710 13756\n6226 8489\n5481 11212\n8350 11810\n5922 14191\n9442 13965\n3415 6764\n2527 14800\n1509 10886\n4986 5557\n484 9709\n11160 12544\n280 6258\n13820 14127\n465 15647\n1945 2641\n2 7586\n4940 11262\n4484 10695\n6328 12325\n10670 14450\n1482 13733\n6846 9767\n5679 14244\n2299 8746\n2373 4518\n535 2835\n6238 7611\n192 374\n9147 14089\n2714 11217\n1695 7607\n10227 15612\n9128 15179\n4669 9270\n1105 6971\n7052 10319\n2968 13282\n1217 10332\n11804 13758\n5892 11142\n4181 8618\n6818 13393\n2571 8139\n13190 13314\n2552 9130\n1498 15388\n7888 14765\n6095 11195\n7928 8313\n5962 8432\n323 10234\n15 12852\n5665 7542\n5751 13239\n4230 4851\n2527 11881\n4163 9718\n6724 13519\n4899 13794\n5931 11728\n2046 8911\n11464 14057\n348 2380\n3516 10838\n66 6184\n3053 4896\n7343 12514\n3966 5973\n2930 12041\n4705 10867\n5517 5520\n9399 10815\n4486 13612\n6 4118\n1967 6481\n7976 14388\n1970 9259\n14022 14630\n2933 13433\n4447 14184\n5876 14638\n937 2251\n3705 11886\n4395 10109\n1998 5135\n4523 7257\n1010 11738\n2870 11181\n6466 8160\n1017 2168\n4017 8133\n14539 14607\n6913 7493\n5937 10653\n3436 6620\n10286 10864\n9704 14536\n3568 11751\n4561 6037\n3287 10466\n12058 14452\n824 2065\n2331 14264\n14138 15242\n12635 14950\n3208 5903\n1662 5243\n1165 3196\n15115 15645\n2935 12920\n2348 4709\n5145 15233\n1650 13978\n1781 15514\n9220 12995\n8185 8797\n1733 8955\n7094 10954\n6639 13607\n6001 9185\n1000 11794\n2093 6004\n6282 14739\n3531 7852\n4927 15395\n2906 3362\n5392 12201\n4407 5124\n2854 4313\n1584 4978\n11605 15527\n4089 5453\n2578 10557\n3556 4457\n2537 4173\n841 11516\n11348 13661\n914 11441\n9757 15209\n4309 8508\n6163 8190\n10211 10905\n4106 8637\n6940 15120\n9189 14829\n10847 13785\n6052 8653\n953 7711\n4606 6472\n8525 14651\n3021 3312\n2443 10013\n8867 10975\n3471 9657\n85 4450\n4396 14311\n5522 14149\n2797 3342\n6806 7442\n7015 14634\n4501 12131\n10959 12929\n497 8156\n3530 7997\n5123 15620\n2032 6133\n597 1379\n1958 11822\n535 14236\n4710 7444\n1298 5316\n10874 13355\n3259 6539\n7477 13793\n6206 9688\n66 9303\n4673 7903\n10581 13164\n1966 10075\n5135 6323\n6748 13229\n3429 15107\n3234 4214\n1099 15469\n3145 13484\n4161 5355\n8031 15468\n2229 11859\n5078 10993\n8155 13692\n4860 6952\n2200 7945\n5756 5813\n12485 13357\n11363 14359\n1353 5353\n14268 15394\n1273 6932\n6925 14924\n5264 7317\n732 11093\n4378 11819\n7318 14800\n4563 12711\n756 3726\n5272 11189\n6966 11952\n8420 14954\n1213 14575\n8450 14147\n3869 5938\n1834 12314\n12527 15179\n5154 14549\n1961 8729\n3601 5523\n12318 15202\n12922 13557\n12551 13067\n2440 14993\n7432 13267\n5663 9097\n75 3129\n2482 12074\n4601 12699\n1461 5416\n6726 15044\n8677 12660\n463 1825\n1672 10484\n8995 14064\n13581 14239\n1069 12932\n5130 6795\n10624 14917\n7687 12493\n10057 14914\n3355 4776\n13890 14328\n25 11330\n3419 11910\n229 6281\n1166 5033\n8713 10258\n3448 10489\n4615 11609\n1616 3829\n4675 8490\n1724 15295\n3207 5802\n305 10830\n5131 12565\n1488 7066\n5552 9790\n7307 9124\n5264 11021\n6621 13103\n7863 11487\n4218 11678\n393 1237\n3370 12628\n6603 13445\n1018 9909\n10094 10125\n432 5445\n3056 15508\n5621 11755\n2677 14241\n2447 8724\n286 9427\n3119 13099\n4360 12015\n8207 12050\n1387 1394\n15333 15363\n7262 7741\n4791 8268\n1954 3195\n5831 13430\n1748 11592\n6888 10935\n1003 7388\n8855 14840\n1619 14615\n3289 4929\n7126 13616\n4926 8119\n4397 12688\n8217 11773\n10390 14103\n9126 10807\n11221 14285\n4286 13509\n11534 12695\n1808 4359\n4770 15429\n3909 7257\n2938 15541\n4650 5944\n1756 13090\n11138 13888\n4452 5925\n5159 15385\n8770 13701\n2960 3233\n6304 13423\n80 5365\n437 4414\n420 4051\n2524 9505\n11329 13604\n1304 9462\n2194 15516\n5420 8464\n5318 7575\n10911 14904\n2142 3882\n1556 5167\n481 767\n2320 11166\n10481 12466\n12900 15246\n8558 9715\n3443 14765\n5964 7067\n5744 5927\n1246 10338\n9294 14784\n14271 14724\n11215 15327\n1642 6642\n14257 14325\n5078 8165\n2992 13162\n31 9199\n11638 15332\n253 15028\n6437 7575\n3678 10007\n2574 13497\n54 766\n452 8012\n29 15389\n9713 12378\n1543 4480\n527 5407\n5097 14143\n6791 9260\n2313 3100\n10566 13730\n2063 5919\n2119 14908\n10516 10958\n4394 12518\n174 6110\n7401 10507\n6596 9481\n11824 15278\n4834 6095\n7678 9848\n8223 9860\n13105 13946\n10830 11181\n151 10218\n2581 3712\n6509 11974\n4496 13331\n5125 5327\n5066 9111\n202 5261\n1682 14648\n1904 2100\n1418 12263\n6549 7970\n1761 7352\n1265 4381\n175 6252\n9987 15215\n1728 3436\n3269 12324\n2752 13444\n2077 14368\n404 3538\n8572 14661\n4944 13723\n10160 11961\n4422 7418\n4204 9274\n4721 5613\n12960 13155\n799 14811\n2430 10512\n2009 15421\n12311 13008\n8196 14247\n805 10008\n7301 7465\n11396 13736\n8131 14187\n2338 8675\n1825 2963\n8648 10015\n8792 9539\n5537 8067\n10575 10668\n3526 11214\n8604 14730\n4007 10036\n1156 11044\n2176 4335\n6777 11505\n1317 8812\n8716 10398\n5060 12724\n10512 12777\n2898 14567\n956 2262\n1946 4337\n9369 13251\n9821 12679\n12787 13499\n8850 11466\n7681 15424\n9650 10413\n5000 7168\n3797 14246\n1527 5935\n1703 1989\n989 1948\n6653 13731\n6644 7148\n5094 10515\n1449 11831\n5982 10989\n108 5239\n9743 13307\n8034 11218\n11273 12270\n8698 13768\n2626 7288\n8422 11881\n2681 5915\n3065 12959\n4119 7093\n12039 15228\n10774 14618\n4722 13703\n2827 7612\n1908 12640\n547 11966\n5811 7865\n5764 8649\n5634 13081\n13616 14923\n4757 12489\n5892 14669\n5844 7414\n12255 13641\n1208 7396\n1397 7005\n8197 10895\n8895 13580\n6545 9759\n7851 7903\n4143 6234\n2673 2725\n2053 8030\n147 13738\n4002 13407\n37 13861\n6422 7109\n3987 15587\n6627 8516\n445 2014\n11155 11354\n290 5981\n1986 7244\n10747 12342\n587 11631\n2646 11685\n10154 14646\n1198 13111\n1084 13064\n4893 10068\n6396 7451\n9195 11271\n1066 10268\n841 10852\n4007 9373\n5349 7204\n3913 10415\n6351 10003\n1904 8025\n183 5628\n5719 7741\n4534 10544\n6369 10340\n9838 11512\n2577 12437\n1937 5121\n1098 8713\n1336 10895\n4015 6543\n1915 5457\n3814 6193\n5891 11313\n4166 12602\n338 8442\n3826 10367\n7706 14889\n5680 10262\n245 10626\n3282 4490\n9568 14514\n14331 14890\n11872 14564\n1259 5761\n3310 11100\n281 7792\n1058 6355\n521 10472\n8790 14003\n6973 15332\n556 1249\n1154 12726\n1679 5075\n3279 6173\n3976 5910\n1061 12011\n3812 10277\n1845 13060\n5716 13092\n773 7300\n9294 14115\n2814 8159\n4227 15272\n5970 14662\n3771 12506\n3337 10428\n4612 8525\n7422 8813\n2149 2729\n9710 14892\n6508 9082\n5431 8422\n9611 12893\n11337 11509\n2633 3736\n6832 12097\n3764 14774\n4273 5257\n7332 10783\n7624 10140\n9452 15273\n869 6990\n1112 2136\n9726 13025\n6352 12715\n10684 13581\n5594 12770\n9174 11608\n12285 14272\n12267 14697\n6126 6532\n9815 11885\n9461 12503\n6001 12897\n4366 7118\n9978 12350\n3902 7151\n7707 14819\n6189 12420\n3626 12843\n5464 6162\n509 5278\n11308 14609\n8501 15500\n3986 8657\n1658 5155\n3581 5298\n5628 10813\n6739 9260\n883 3025\n2507 4390\n3842 9008\n2242 5670\n4689 9633\n633 4946\n5270 12840\n9625 9761\n9064 15148\n1781 10756\n5446 6567\n2283 14771\n976 15095\n3109 10924\n2356 6650\n4669 10545\n8298 11371\n6299 14086\n10473 15535\n3803 10334\n6985 7157\n10689 12585\n3710 14292\n6517 14591\n1805 14146\n11897 13470\n2494 6890\n547 7026\n6771 10983\n9198 15200\n377 2985\n3385 4255\n6507 11235\n416 432\n6163 15544\n4607 13935\n6277 10171\n7518 8079\n8033 13929\n3226 4571\n14878 15480\n7493 14071\n3010 9296\n981 2574\n5200 11070\n418 11158\n2273 11954\n6367 10743\n3001 10065\n2706 15542\n1368 11328\n5170 13341\n5458 5714\n3172 8276\n9798 10486\n3266 5483\n3647 15049\n11160 14190\n1554 8181\n4454 9281\n13907 14106\n9309 11774\n2558 6785\n3398 4612\n9172 10035\n2770 10627\n4147 11008\n5138 12887\n4430 5030\n10007 12351\n9267 11057\n15229 15240\n13771 15386\n8648 11161\n1902 15454\n5783 6332\n1889 10679\n1704 15397\n12429 12896\n197 13640\n1851 12177\n273 3536\n3824 7959\n5055 11609\n4499 15192\n5935 10359\n1414 4148\n9674 10052\n4779 8992\n3067 13870\n10072 10157\n7858 13312\n11852 12148\n5909 6125\n13160 15328\n2107 11241\n3637 8949\n366 5617\n9483 12861\n1494 8695\n3003 6553\n3514 13639\n10492 14299\n11084 12692\n6585 7217\n6670 11440\n1793 10554\n12706 14145\n5068 12625\n9330 12452\n8124 15489\n7943 8614\n1432 12091\n969 8022\n345 14711\n12825 13569\n6339 11919\n2122 13054\n346 9236\n10171 10881\n2091 9449\n8633 14288\n8933 10467\n3456 7825\n1605 10849\n2159 8829\n1001 10065\n1245 13636\n1299 3173\n577 797\n1010 10007\n6403 6706\n3885 12750\n13425 14049\n1642 6784\n3435 6015\n3397 6610\n9199 15382\n6269 7544\n10638 11095\n11963 12359\n6891 8089\n530 7459\n10897 11163\n5661 10278\n11531 14031\n3439 13754\n2743 14712\n3199 15564\n649 3513\n364 9938\n12333 14072\n5153 9672\n9601 11962\n3485 12315\n5062 10555\n8501 12527\n13276 14383\n3559 7424\n6559 13468\n4276 9213\n2952 14264\n10464 13606\n766 10076\n8018 13365\n6673 13928\n2921 6632\n14670 14845\n2301 8331\n11006 13342\n2966 10676\n5454 14239\n37 7296\n4834 7814\n6376 9282\n4319 14153\n11699 12141\n2793 3097\n5644 15471\n2940 9658\n1977 14914\n11684 14134\n10752 12800\n2178 8430\n4143 7958\n3787 10953\n6244 9477\n3638 5244\n2037 15211\n8394 13090\n13148 14284\n8877 13938\n4650 7780\n5501 7457\n2498 14099\n3381 4396\n1338 14990\n225 2194\n4513 9861\n1815 14901\n5028 14234\n9329 10804\n9196 13859\n5302 5858\n9253 9950\n2452 8297\n5618 9096\n6494 13269\n5290 10593\n5274 15154\n242 14490\n5877 14660\n6161 13684\n4652 14163\n9627 12244\n935 10093\n6848 11135\n9621 10433\n2959 12734\n5488 15252\n13531 14238\n3004 8485\n2664 11021\n5841 8131\n1090 4519\n5381 10687\n3600 6470\n6951 15230\n12053 13909\n9533 12046\n5313 8950\n3199 3640\n3471 6736\n1949 10414\n4454 13952\n1298 9880\n5931 13631\n10050 12689\n12810 14905\n7186 8124\n2334 8432\n663 6369\n599 10550\n3262 5010\n2953 12322\n2299 8200\n5860 12525\n1069 7381\n6784 14371\n3479 3498\n635 2675\n13045 13768\n7286 11505\n1352 5595\n7071 12243\n2791 7117\n2684 15644\n14735 15170\n241 12248\n5549 6844\n9508 13211\n4733 13085\n6983 13612\n13644 14966\n3910 4851\n3391 13512\n1928 13114\n3337 13871\n1024 3389\n2259 12478\n11704 12857\n3816 6343\n8518 10503\n2407 11175\n5366 11898\n3486 9867\n1568 3693\n6345 12105\n1059 8194\n6601 11681\n2697 10565\n7230 9569\n7827 11249\n8791 13141\n7213 10049\n2465 8102\n5995 6962\n791 4852\n5167 5958\n11488 13822\n289 13613\n5054 7296\n2191 5847\n2513 4257\n6543 11051\n9270 9733\n7321 11186\n13080 13673\n3734 9670\n4099 14219\n234 13236\n7311 7561\n3091 14888\n7369 8333\n2869 6857\n3646 13569\n171 2303\n5066 10370\n6990 8508\n10621 15434\n5957 6773\n2043 10010\n414 1564\n6343 9600\n3508 9033\n3500 12888\n1514 13392\n10752 15476\n10561 14227\n1184 13196\n8630 14224\n224 2528\n1033 4167\n3448 8255\n3241 9637\n9871 12008\n6758 9260\n3930 8859\n7394 9000\n6492 14731\n8426 10041\n5035 10072\n10344 15606\n2147 2628\n9886 14753\n8936 10408\n9760 13916\n6748 8944\n6837 12884\n5025 14923\n13923 14409\n4206 5712\n8867 9928\n1545 1986\n7719 8028\n5814 14387\n11496 15532\n2129 8704\n65 15391\n281 5097\n1023 10368\n1904 3923\n2315 2487\n3013 5646\n1944 9778\n6258 13939\n5968 14050\n1108 5165\n3315 4856\n1619 10685\n7316 12133\n10110 14874\n4669 13995\n1010 5165\n1000 4029\n5319 8865\n10176 12707\n10011 14744\n3905 12630\n10671 14251\n1506 13500\n4368 8043\n7585 12710\n10518 14474\n14094 15266\n571 11640\n3169 4852\n4769 5981\n1582 10587\n5466 15068\n1611 5479\n12679 13942\n9846 10860\n913 9614\n7028 13156\n14850 15602\n3246 8892\n2595 4018\n1930 11329\n2521 3441\n1551 5006\n251 8952\n732 6751\n5623 6564\n10367 13375\n10488 11244\n8417 8809\n2655 6783\n1555 3875\n2215 5670\n9302 14461\n20 3753\n1615 14981\n7404 14961\n5264 15125\n9332 9490\n73 4475\n728 14674\n6937 14452\n574 9953\n9411 10754\n1019 11023\n4902 7197\n1256 5155\n1183 13958\n338 5795\n9626 9669\n3008 15410\n3026 3252\n1722 12411\n484 2995\n13095 14287\n2042 2138\n1206 3372\n802 12436\n6749 11749\n1569 12062\n128 4639\n174 14205\n442 12577\n7851 13531\n3542 13241\n3448 4037\n2473 7844\n6247 8561\n4710 13078\n62 12435\n1292 13432\n4322 5064\n8793 11707\n4437 6148\n2833 6590\n2743 6405\n6648 8793\n14061 14753\n10352 11593\n11829 15443\n1110 10239\n404 12642\n4172 10078\n1113 8286\n9077 15358\n5807 14868\n5347 10542\n10274 12078\n2565 13178\n2401 6623\n6797 12593\n9328 10276\n5007 13621\n2397 7906\n4480 15541\n1914 9522\n1543 3841\n3567 11411\n2849 12879\n1148 8614\n8180 10113\n6916 11531\n461 13932\n4037 10264\n4015 8794\n1071 3047\n6781 7892\n3436 3502\n9393 14806\n1065 12169\n9667 13438\n998 15507\n7158 7920\n1208 10514\n4275 5499\n13462 13476\n5151 11646\n3791 9758\n1477 15163\n3359 6023\n9814 14691\n8022 13790\n2533 5137\n5550 8143\n10651 10904\n254 2475\n1691 12075\n10888 13612\n3258 14782\n2425 7196\n10847 12011\n76 11323\n2352 5668\n10649 11667\n5176 11146\n8334 14999\n9367 11302\n3404 15301\n2740 13690\n9790 12316\n2703 2964\n1038 12751\n8490 10717\n8050 13984\n2991 12614\n3661 4946\n4135 4642\n7001 10441\n12905 15095\n9589 12587\n5765 5852\n12679 14549\n12529 15185\n2173 9330\n4078 7826\n6596 10522\n4910 11158\n4832 6649\n2423 3077\n3559 5525\n3825 9173\n1223 14912\n13917 15269\n1133 8532\n3299 7814\n6146 14065\n4421 13766\n2402 10232\n8855 12488\n8065 8507\n5494 13555\n11202 11365\n6884 14454\n8762 14258\n1804 13636\n1114 6188\n2658 10507\n10617 14873\n10152 14899\n4729 13418\n8725 12831\n7981 9439\n7325 12777\n7290 13819\n9678 10787\n6260 13113\n2847 12008\n2369 5988\n1894 13093\n1928 10449\n3192 8086\n1033 7735\n11713 12212\n1182 15124\n1909 3997\n1490 9337\n2633 7038\n11742 12632\n4323 12097\n4046 15544\n2647 6949\n858 1064\n7475 12349\n2830 13297\n1247 7302\n3707 15532\n354 6974\n5596 12847\n6487 12293\n754 4159\n8549 12023\n5431 6299\n10112 12364\n4574 6112\n6466 8764\n1157 5701\n783 5809\n9795 14020\n7189 10371\n7493 11464\n7138 12426\n6555 7514\n2786 5278\n10334 15417\n11745 13200\n12229 14023\n3962 4319\n5756 14845\n6581 12278\n9218 9640\n4398 13098\n2848 12410\n1808 5641\n9184 12141\n1682 4259\n7464 7590\n2690 12245\n9637 14660\n809 13822\n9035 9716\n1840 11845\n1524 7594\n9909 10569\n7008 13860\n12181 15227\n8030 8589\n1116 11052\n1797 10757\n4357 13261\n11145 14505\n1288 12489\n6138 10327\n4208 9755\n9279 14707\n211 7982\n2388 9064\n2821 11723\n8021 10271\n6904 12316\n4492 11959\n1789 9389\n3416 6419\n5071 7423\n4494 11465\n840 3716\n10550 13228\n8219 8306\n3201 5863\n2730 14975\n6788 15560\n3226 10957\n7866 9772\n5588 13602\n8306 8560\n1976 7500\n9622 14527\n7060 12002\n6798 9624\n3332 15425\n2566 6137\n8056 9754\n8943 15293\n1035 12642\n2878 14567\n2644 9562\n3421 5995\n7864 9631\n9090 10116\n9879 14222\n1589 1598\n926 2121\n601 9208\n1561 14483\n5613 11047\n657 10643\n10609 11426\n7338 10522\n2805 8971\n9736 10473\n5470 13507\n3009 11381\n9866 15118\n1878 4576\n10888 11943\n12439 12570\n4497 6345\n1049 7317\n6660 10974\n4716 4948\n6603 15572\n12750 15275\n1917 11793\n5046 11481\n8596 12473\n159 1743\n140 1677\n4240 12267\n11840 12409\n12000 14445\n4373 13513\n6692 15651\n4256 11048\n4053 9713\n4978 8724\n7501 13281\n10141 15169\n3712 10748\n4782 13472\n3656 9895\n11499 14010\n4674 7424\n3343 7632\n2921 12048\n4541 12375\n1983 12556\n1442 9393\n14344 15295\n6374 12119\n11436 15205\n880 13300\n1776 3752\n1575 4777\n8139 12253\n11399 11605\n1045 5030\n3836 7391\n6942 10892\n4103 15570\n11404 15158\n10876 11961\n684 2929\n3915 9264\n918 15248\n4604 13238\n4305 7934\n6537 15434\n2863 10245\n6984 9101\n4035 6091\n8613 9859\n11542 12074\n252 11505\n10374 14169\n6617 7526\n8000 15551\n6110 9731\n2361 13043\n749 4666\n395 8202\n10335 14518\n11276 13964\n4844 6185\n10736 10773\n1967 7136\n13443 14471\n5363 5434\n8291 13679\n3884 4759\n2180 15126\n7378 12460\n1077 10484\n1920 7456\n7456 14125\n7239 14725\n5109 14484\n2404 5843\n1372 10714\n225 9989\n480 12368\n5343 11102\n12452 13930\n5675 10101\n5156 5310\n5600 6495\n3871 9591\n3953 7067\n2446 6115\n586 10655\n7533 11437\n1774 15433\n10312 15580\n2726 7632\n8151 13062\n7899 10282\n10590 13638\n782 14659\n5830 14844\n4781 8379\n641 649\n5784 10112\n313 7744\n230 13330\n1644 7251\n3405 14500\n8034 9935\n2268 10722\n7136 11039\n157 12266\n303 2517\n3231 12560\n1856 14545\n4439 9847\n9919 9993\n3026 3607\n14347 15539\n12486 14037\n641 4448\n1547 11653\n1821 10048\n2557 8536\n6921 15074\n3799 15395\n9306 10965\n4372 8139\n3664 11095\n1876 11973\n11772 13979\n2194 4189\n7223 9837\n2796 11194\n2819 11948\n5860 7054\n9159 9769\n6150 10541\n10920 14569\n1157 3355\n320 7083\n3566 12556\n8343 12638\n5752 7931\n1083 13500\n2524 7248\n8381 10594\n4312 12675\n1851 4396\n975 6614\n12046 14678\n14402 14876\n10645 12487\n7568 15121\n2828 10904\n5977 7071\n508 2799\n7975 14369\n10348 13886\n13643 15426\n5683 5959\n2774 7699\n10500 12604\n1768 3343\n1319 12886\n2232 5793\n11088 14039\n12900 14956\n5420 6645\n5794 10201\n3724 14002\n4652 15336\n2829 9239\n10386 15039\n14154 15517\n2966 12332\n371 4368\n8563 11780\n3070 8222\n3910 15246\n5046 12114\n2558 15506\n2116 6266\n8392 14018\n535 6703\n299 5376\n12818 13370\n1481 14982\n3935 8878\n1304 15391\n7913 14745\n1322 14450\n6308 14685\n14192 15384\n1320 4714\n6231 14180\n6588 9826\n2138 7850\n6174 14111\n10005 13541\n2260 11686\n326 1608\n2877 9342\n13143 13453\n723 5472\n1561 15416\n2298 9977\n1545 1763\n4805 6384\n6193 8980\n6865 7395\n7085 7790\n3591 12082\n3642 3683\n7478 10287\n1161 4249\n10298 15211\n1000 5415\n1725 8311\n8545 9013\n3617 11536\n7331 13756\n8734 8790\n7704 9635\n601 3154\n9939 11785\n6499 13061\n6379 8385\n13816 15080\n11718 14073\n1806 6806\n3975 12821\n4882 12259\n5239 7047\n7483 8662\n11633 15475\n6070 10472\n9607 10219\n11241 11394\n6335 15491\n7515 14624\n2773 12291\n2816 10805\n33 5876\n4877 10497\n14319 15224\n3066 10269\n2635 13224\n8612 12933\n753 9536\n1566 12925\n5371 10312\n6839 7898\n14944 15154\n648 13328\n8572 8888\n3669 10695\n5421 10052\n4964 10119\n2607 5712\n4523 8074\n5322 5485\n12313 14763\n2545 14638\n5243 6460\n4012 9440\n5367 7030\n2649 4909\n9578 12578\n12537 12796\n15 14616\n2310 7307\n7249 11783\n10430 11162\n4291 7497\n7281 9802\n14698 14873\n3954 11344\n5082 11893\n1486 3895\n1429 7567\n914 10186\n11529 13797\n3373 9227\n4848 14280\n1121 5230\n8143 11421\n10544 12802\n1103 1311\n7150 14642\n3839 8721\n5823 10840\n3854 8399\n4970 10362\n12456 12781\n9967 11874\n4474 9231\n3354 10457\n10042 14086\n8729 12303\n11035 15213\n6485 7371\n4459 12852\n5772 13433\n4863 6492\n2507 7965\n2641 9352\n3675 6502\n2618 3531\n1811 8538\n8714 12892\n164 4705\n439 8090\n12514 12882\n9308 12891\n2923 3306\n12787 13636\n7194 8843\n1199 5674\n1696 2511\n810 9951\n7364 10159\n6691 6811\n949 7195\n10451 11512\n10690 12780\n4789 13707\n12377 13708\n7763 14672\n1794 14160\n635 11101\n6772 13169\n3062 7427\n3675 7620\n1561 3535\n1686 11898\n65 7358\n1187 10452\n2756 11977\n6238 13134\n5290 11037\n6925 11988\n1222 15401\n2416 3110\n3694 10095\n7914 12858\n2485 5632\n12703 12760\n5570 11653\n3257 5716\n8139 8170\n8909 14732\n4400 10434\n7563 11927\n10097 11638\n1021 11307\n1576 7531\n1758 7385\n10167 11785\n4446 14295\n3065 14374\n2565 14456\n482 6697\n2083 2907\n10877 14217\n1611 13498\n9195 9921\n7693 11687\n7636 14021\n10803 12477\n4782 5836\n2287 3890\n3907 12561\n451 4101\n5103 5680\n6554 9160\n5595 9045\n5950 6824\n3085 4152\n10947 11714\n5257 9590\n526 10728\n1349 3130\n8678 12142\n3424 8262\n7676 9438\n3036 5078\n1995 12204\n3947 13133\n9872 10531\n1471 11727\n5930 14897\n9647 14081\n11789 12449\n7394 8499\n3426 5528\n9596 12520\n7892 7924\n5971 10494\n4463 9437\n4308 11189\n1018 9922\n6724 15346\n5206 8666\n10562 11602\n5492 10723\n4711 5997\n10511 11640\n7245 13950\n462 1011\n2960 9625\n3217 15126\n5470 13917\n4897 8452\n7022 13097\n5670 13228\n3780 9934\n7036 13085\n9421 14530\n86 9420\n4249 13464\n6230 7624\n5484 9458\n4369 13058\n14257 15622\n1719 6647\n8256 10068\n481 5913\n4108 6709\n2138 14137\n6879 12259\n7389 8497\n3399 4229\n637 4987\n522 8231\n7542 15214\n2499 8198\n3848 6180\n3496 11478\n3811 12997\n12235 12990\n3402 12601\n7238 9334\n7457 12035\n4439 10890\n11332 11566\n9524 9851\n2713 4126\n10891 14366\n2186 9649\n2641 14215\n2724 12749\n11697 13978\n1604 9452\n1669 2166\n5710 11908\n2934 9848\n1838 6121\n1112 4363\n4974 12749\n9630 10773\n1723 13145\n1014 7534\n1701 11638\n5477 12643\n13134 15050\n997 8468\n557 12665\n1046 1282\n2216 11599\n6003 13414\n13155 15263\n2493 12450\n4321 4664\n2958 9887\n1913 12447\n5374 8289\n223 2459\n4120 10284\n1975 11137\n10120 11157\n13348 15324\n3171 12514\n1643 6221\n8213 15380\n6953 14557\n126 10505\n8328 14244\n3321 4628\n148 3662\n301 12711\n7161 9593\n627 6809\n3313 15293\n3340 12627\n3720 6910\n914 8044\n8898 9857\n8151 8185\n6600 15307\n6860 10766\n11495 11753\n6295 14362\n6641 13548\n6739 13086\n4425 8060\n9287 11179\n3212 10216\n8984 11437\n774 7625\n3237 9250\n7506 8251\n13439 14355\n6293 8734\n4016 12078\n673 1361\n8932 10728\n3178 13306\n7553 8455\n1406 6895\n7756 10619\n5665 10017\n533 6959\n404 5240\n12635 14647\n10004 14354\n2903 11811\n10940 14792\n7839 14210\n1059 9766\n14057 15113\n3796 14108\n13028 14074\n7123 15450\n8255 9815\n6927 12741\n10085 13054\n1663 14425\n3380 11150\n6559 15614\n1850 3638\n7061 8273\n4992 10186\n7395 8359\n6916 10146\n4616 6650\n13479 13613\n2323 12068\n6615 13733\n1544 2738\n3306 8716\n9875 12202\n5078 13303\n3579 8183\n2022 8317\n2208 12871\n5923 8020\n1979 11706\n4025 11179\n245 6483\n9514 11439\n10376 14870\n5960 10610\n6869 8309\n108 1044\n10596 15493\n2758 8286\n5894 7633\n10189 11515\n5335 8448\n1933 5524\n5526 9053\n709 2062\n13647 15085\n6992 12490\n1635 6290\n5474 7462\n1960 11187\n12816 13872\n7484 15450\n5005 12105\n1693 9624\n3434 11440\n5889 11076\n538 8207\n1112 14729\n2969 7987\n135 9200\n9497 10146\n5701 10653\n5224 11195\n3173 5777\n3095 12974\n3972 6636\n1434 12490\n9982 13502\n4267 4462\n4760 7773\n4732 9434\n7563 11362\n2405 9490\n2886 12016\n8984 9628\n11871 14802\n71 6318\n3774 6291\n5471 9072\n8761 15431\n1501 7028\n44 8322\n1350 7447\n4256 12270\n5702 9037\n10606 15518\n3913 15553\n12795 14988\n10185 15164\n1903 7712\n6772 11766\n13819 15359\n1111 7572\n6750 15593\n3030 6061\n6572 10119\n6924 7790\n3104 4969\n3271 10421\n7917 9174\n4049 8178\n7805 12625\n8459 10901\n2217 5091\n3016 14812\n4480 8996\n3390 8396\n2555 2576\n258 1343\n6257 7472\n332 9490\n3944 10649\n1500 13430\n3277 12806\n1261 7994\n12821 12890\n329 5801\n4602 8633\n990 12385\n545 15255\n960 2934\n5758 14011\n2857 4961\n3942 9176\n7770 9404\n3082 11165\n5104 7882\n4190 11196\n1001 14813\n11724 12707\n7384 13834\n1185 12764\n9041 12296\n5925 8356\n8602 9322\n4858 9082\n10339 14519\n8649 9708\n1993 7241\n6810 9013\n5037 14369\n924 1669\n8017 15100\n5158 14708\n1286 12643\n9155 9967\n983 14240\n3656 5797\n646 7199\n8064 10477\n3280 13599\n7940 9164\n514 10724\n1240 9413\n7039 7907\n12584 15483\n4420 13244\n1425 6670\n3987 7062\n8118 8505\n3044 9816\n2727 10273\n9578 13606\n7374 14602\n3785 11752\n4791 8175\n3540 8603\n9001 14532\n1384 8380\n1961 3838\n7277 10701\n284 3378\n510 14201\n751 9973\n5569 13089\n426 14958\n12426 15337\n852 14074\n1911 2829\n1989 11771\n7794 9876\n7717 14283\n5830 6083\n8385 8945\n714 8896\n3752 5800\n9485 15158\n4259 4943\n2136 7265\n3443 13161\n5931 10402\n6871 12036\n5067 7610\n2880 3792\n810 4549\n789 1627\n6121 10314\n10584 15298\n9620 14511\n7274 8981\n12219 15430\n12265 13046\n5359 11394\n3184 9884\n4261 15541\n9441 10699\n1870 2152\n847 1749\n12122 15237\n7969 14205\n826 15169\n7418 14637\n10410 12263\n4539 13381\n10841 15321\n2850 13019\n6888 8855\n9018 13356\n10222 12165\n1093 12478\n1168 14208\n7213 11289\n768 14777\n3585 4866\n8031 13062\n11018 14666\n421 3453\n4467 15173\n4038 11811\n11770 14976\n2125 8718\n6447 14351\n951 5512\n6700 10406\n1837 15378\n3776 5394\n3299 6736\n8778 15489\n6869 11549\n3777 13501\n3170 4451\n10042 11909\n1920 9756\n11227 12073\n10338 14115\n4443 7526\n8681 10365\n607 12140\n6383 7749\n10865 14150\n12219 13689\n6367 10936\n13831 14364\n76 12363\n7695 9503\n2814 3777\n10633 15489\n3410 6327\n420 1147\n88 15394\n8856 9826\n11458 15268\n12350 14300\n4983 8501\n349 11925\n10285 14165\n10189 11606\n171 2572\n13627 15056\n606 3295\n6072 8828\n3621 11137\n4890 8686\n3905 12468\n10362 11922\n188 5425\n6411 14329\n5347 5474\n9672 11539\n338 12522\n2278 4263\n11523 14715\n1010 10593\n969 7681\n6736 15055\n10056 11678\n10005 11691\n2038 15296\n1659 2850\n2901 12696\n11817 14715\n1750 11998\n8551 15393\n1721 9282\n4202 5651\n2106 4828\n457 3895\n4316 6286\n4562 6673\n6513 9337\n6430 11704\n9980 14237\n14225 14259\n6302 9528\n13834 14122\n6908 6982\n13960 14655\n275 14038\n1957 9746\n11335 15050\n5371 12736\n2650 4230\n6461 11633\n3382 4616\n348 4745\n6700 9775\n3513 5501\n8526 8900\n13839 15592\n922 4731\n3765 4797\n2210 8124\n8361 8569\n9649 14144\n3280 4925\n9387 13072\n5261 12290\n3568 6445\n1201 4366\n2877 7401\n1834 8806\n3525 12760\n5241 9875\n537 850\n1988 11320\n4549 13498\n752 14995\n3992 10761\n6376 8157\n8230 13592\n2386 5063\n10236 10688\n1181 2638\n10162 10483\n9616 12340\n705 12919\n2192 15090\n5386 10588\n2269 9116\n725 6772\n8071 11427\n7845 14927\n5844 12767\n9262 10515\n797 13784\n1791 2164\n3514 13434\n3529 6849\n1678 15047\n1362 13795\n10472 14958\n8023 12872\n3904 13491\n5046 10315\n3928 8210\n4708 15638\n8199 8977\n2605 15090\n3458 7745\n11304 14238\n7113 10074\n9388 12989\n2022 2128\n6099 6886\n4931 9973\n3635 5801\n4703 13572\n10198 10679\n12557 14864\n309 10905\n962 10275\n4793 5549\n580 14927\n4987 14374\n8453 15625\n4757 8099\n8295 10770\n9032 11838\n2586 14839\n12657 14666\n5331 14079\n2487 4909\n2921 13397\n13351 15613\n194 341\n1596 14699\n3369 4689\n6394 7455\n721 10925\n8374 12162\n373 12829\n3559 5610\n11293 12458\n4471 7793\n6966 7389\n221 9562\n8435 10160\n13529 15432\n12682 13874\n930 970\n14401 14591\n8214 15167\n2845 6592\n323 5946\n2815 9100\n7268 7556\n5114 8407\n1078 5095\n2920 15010\n159 15418\n323 2501\n874 12642\n4860 12183\n6137 12868\n4050 10669\n59 2048\n859 11440\n841 8121\n5470 12153\n4457 8013\n6220 13129\n7602 9367\n1890 12042\n5415 9719\n2116 10481\n5730 14055\n8126 15575\n5301 5600\n7854 9203\n681 702\n179 15569\n6199 12722\n500 6786\n7025 10646\n1022 3274\n10641 14956\n6004 10464\n1135 7956\n5016 5754\n7779 9149\n590 13075\n15118 15208\n5344 14826\n4922 4978\n2185 12408\n2016 11075\n391 4441\n2137 13504\n8724 15045\n1666 3241\n1508 15403\n7034 12008\n2375 3497\n6853 13505\n592 7126\n11629 11688\n5479 7123\n3868 9370\n6654 9247\n452 11748\n1441 11237\n7170 11594\n5502 6294\n11658 12016\n12594 15517\n963 15395\n1 809\n904 3225\n998 14361\n6211 15413\n3225 14990\n113 15411\n3208 14950\n1912 3970\n1034 14982\n8998 14920\n10399 10694\n2738 10723\n3370 5901\n2735 5007\n4128 10908\n6263 10858\n8074 13986\n4670 13553\n5054 8822\n4144 14022\n1135 4697\n10727 11722\n10819 15594\n3239 8518\n4431 7126\n9259 10162\n3762 7820\n1358 12742\n2837 3447\n4697 7479\n2364 2654\n646 11013\n1640 8492\n2313 14961\n7810 14170\n7059 12163\n293 14182\n4865 12123\n3732 8412\n4805 11013\n1961 3089\n9224 12709\n10189 14621\n7973 9448\n7763 15577\n10394 11009\n11692 14209\n1814 14450\n5678 7073\n7585 8348\n5792 7500\n7200 12172\n2440 8007\n6419 14408\n7372 14717\n2754 10495\n7760 8783\n4539 14316\n9617 15066\n7585 12237\n11655 14576\n860 5446\n5548 10197\n8620 9007\n10221 11897\n10145 11822\n3623 8441\n542 15096\n4200 8344\n307 1249\n12994 15376\n4336 7740\n3063 5970\n1542 14528\n1213 8447\n1921 12963\n2273 12695\n2547 13801\n6932 13384\n6355 6669\n4422 13762\n3008 4205\n1522 12466\n228 11859\n2101 9962\n3980 15499\n2098 9918\n3755 9727\n5311 8393\n1232 12321\n1687 3599\n20 6569\n6082 14818\n9696 10582\n9216 13263\n2675 13039\n87 1296\n6942 11764\n1658 12200\n174 3764\n1625 14655\n3336 15549\n6033 13156\n9666 14192\n1386 4945\n1763 5391\n5416 9035\n8368 9509\n1402 6498\n5408 7300\n1645 11127\n306 9295\n6888 8061\n10961 14273\n8527 15380\n8825 10638\n5895 11115\n3925 12691\n1892 7638\n6148 13082\n4415 8517\n2897 10497\n7214 11103\n2654 9861\n2810 5476\n2694 11014\n7330 14807\n5344 11703\n2835 6579\n7041 11971\n2264 2969\n1768 9987\n13342 14515\n8884 10165\n7724 8223\n1183 4146\n7770 12486\n2258 12597\n8101 13310\n2551 6681\n1779 6233\n3435 15193\n2651 7169\n7782 12000\n707 9706\n925 6036\n1599 5758\n625 764\n3943 11053\n9370 13551\n1448 8508\n9532 11662\n3974 9696\n4709 14736\n7724 11831\n10089 11320\n119 4590\n6329 6809\n1264 15315\n6306 11804\n45 4849\n3605 7458\n9052 13796\n6042 11410\n2313 4343\n1642 10813\n5506 9252\n11073 15351\n9529 9662\n7749 11565\n1977 2524\n10168 12904\n10630 11660\n74 5797\n1946 6749\n5546 9628\n9613 10902\n1898 14958\n9168 9967\n606 1543\n9335 12712\n1077 5798\n2484 11255\n6036 8344\n7223 8947\n4354 5983\n3336 13492\n3825 15624\n7393 10614\n2972 13905\n14199 14730\n2367 5269\n7394 10371\n2964 7599\n11292 11537\n1910 10037\n11521 14207\n1002 7347\n10912 14293\n2817 11636\n5997 14711\n4242 8764\n4151 10915\n12955 13808\n224 15600\n1208 2864\n1205 6157\n1563 8255\n4986 10249\n2714 11295\n5828 15436\n2502 4536\n2282 6239\n833 15403\n2105 13698\n2649 15037\n3539 7587\n7168 7936\n2 14675\n4515 6631\n5948 12417\n3517 4798\n6834 11452\n5910 14404\n4571 7732\n3159 5167\n13511 15127\n6644 8702\n6095 14381\n5826 10744\n3974 14541\n10657 15606\n8169 11920\n6573 12151\n3963 14365\n9138 12987\n10311 14473\n1468 6217\n739 2711\n523 3928\n2472 5169\n9253 10273\n4556 8407\n9402 15414\n6239 7212\n10248 13016\n5153 14576\n9693 15559\n13431 14612\n7984 13454\n5979 7273\n6233 7619\n1300 11206\n7017 8344\n10680 11010\n6743 8262\n7739 11692\n9822 13470\n1845 12541\n34 13936\n14907 15449\n1983 4043\n1168 2084\n1190 9596\n662 11619\n11743 12242\n2704 9506\n1372 3994\n6507 11532\n2635 4043\n3904 9691\n10175 14902\n5968 13554\n2417 7059\n427 11290\n6194 10997\n14400 15237\n2273 12596\n11147 11847\n5101 9861\n250 7825\n4741 11546\n11097 15625\n300 5876\n4248 12720\n9044 9731\n4405 10802\n3893 4190\n7719 10929\n8322 10728\n1252 8641\n9329 13409\n2751 12970\n9559 13119\n7298 12087\n7344 7439\n3983 9513\n5417 14508\n1260 7521\n7639 11602\n8950 11053\n7299 9770\n6648 13394\n6725 15164\n3923 15437\n12498 14619\n11129 13954\n397 10095\n6679 14659\n1631 7047\n9036 9717\n8163 13115\n2586 7231\n4417 14190\n2262 11261\n6430 9714\n1064 12094\n1168 12734\n6428 8024\n10020 11788\n1103 10350\n5412 12717\n3599 4135\n12251 12992\n1084 5891\n2749 11050\n1744 5438\n11997 12366\n5310 14210\n5459 14101\n2112 14454\n2609 8394\n1688 10614\n6755 13858\n3523 5654\n6246 12402\n6395 15632\n7349 11615\n4342 8256\n285 14949\n3554 13804\n5671 5681\n3595 7543\n8515 10353\n3314 8051\n1466 4082\n693 11599\n508 10733\n7955 8173\n598 9472\n1301 8814\n2020 6967\n468 8568\n5132 13943\n50 13066\n3474 9629\n416 2904\n455 903\n7460 12827\n13023 15610\n1433 5741\n154 3317\n8500 12532\n2238 13680\n4279 14149\n4033 4504\n11523 15056\n2036 8654\n12967 13260\n7456 11096\n1560 7667\n1871 12207\n5037 10441\n1540 11510\n2407 14464\n11171 15296\n2242 12565\n3480 6812\n4885 6307\n8796 13797\n2979 13419\n2550 8988\n4506 14309\n1995 2166\n2855 4091\n12524 12551\n2235 7886\n3157 6458\n7084 12168\n1724 13793\n11585 14176\n6460 8579\n1950 5173\n1758 3624\n14693 15529\n2218 5438\n944 13124\n5001 13743\n3897 13770\n667 5183\n11079 13356\n337 11523\n8056 14003\n1441 4621\n4502 10891\n8826 15369\n14718 15262\n5791 7875\n5242 14714\n85 11340\n719 13752\n6291 14397\n1091 9938\n1109 2689\n644 5315\n1450 5010\n5548 5995\n8680 11231\n2526 9833\n4665 15431\n6135 12804\n609 6635\n756 14448\n8090 8262\n11148 11359\n7941 12391\n2159 7315\n8666 15334\n2755 3550\n9937 14556\n6795 15235\n4028 8060\n1348 1950\n7167 9414\n2538 7503\n10422 13519\n11329 14676\n7431 10484\n4705 11497\n3922 10022\n7087 11303\n9143 13846\n2170 14864\n9121 15437\n5838 7194\n114 2002\n13660 15375\n4248 7535\n4313 13370\n1694 13912\n4942 6133\n3826 14763\n395 10081\n1720 13390\n5120 9258\n574 1356\n4167 15401\n1683 15256\n1830 13229\n6774 7507\n3048 9257\n3289 9840\n5490 12804\n10363 12545\n7576 15169\n4593 7136\n5159 5325\n1521 3228\n5500 8952\n8072 9852\n6403 14112\n6571 8869\n3639 8650\n288 12782\n4087 12049\n8266 12446\n1483 12093\n3431 13010\n1668 11536\n3109 5074\n3264 7097\n771 12047\n8284 12283\n8388 12360\n4669 14575\n9541 9550\n5548 11297\n2250 6625\n8472 14577\n11094 13653\n3144 5154\n2234 6055\n6628 14994\n13736 14110\n8661 8755\n2745 10322\n2998 14092\n2061 5862\n10949 14616\n3268 9036\n6196 9130\n1209 10182\n2294 15616\n12331 13468\n2609 8299\n12212 12758\n10224 14409\n6880 11955\n8079 12071\n5549 6233\n3433 8011\n2032 2035\n821 4205\n5677 11706\n4925 14897\n8477 8879\n7989 11635\n8745 12026\n6736 8709\n11402 12391\n365 1057\n1890 1909\n2626 4311\n1013 1200\n3656 5255\n2008 7125\n3368 6540\n2179 13095\n1509 2422\n4785 6231\n1760 6759\n4408 9695\n5911 11267\n8269 14866\n10922 13494\n3750 7792\n11666 15125\n383 9090\n67 9317\n4577 13539\n5091 6851\n1248 13147\n6071 13978\n1874 10966\n1993 4067\n2512 8246\n4022 6898\n1094 2997\n10981 14802\n6788 8233\n6970 13603\n552 11641\n174 7195\n7585 14510\n9225 13595\n9467 14987\n12907 13321\n2465 15366\n11149 12025\n5339 7274\n6352 8306\n1211 11775\n5205 13742\n909 5100\n2347 3389\n7524 11375\n4086 4408\n9779 15094\n3557 13064\n4354 6911\n1802 8155\n12305 12313\n1728 15208\n6054 14488\n11215 14587\n4496 5027\n3838 7293\n3883 6841\n391 11531\n6506 12256\n674 3060\n222 2655\n11776 12811\n4094 11457\n248 14412\n9090 9274\n2700 10445\n12683 15117\n3718 8709\n5261 6023\n5331 15520\n6445 10323\n7228 14219\n9663 11116\n1844 10488\n3884 14701\n4236 5468\n11279 12872\n6266 6620\n676 5497\n5043 9539\n2482 2974\n1855 5886\n4188 8509\n13546 15159\n3334 9613\n13234 14760\n9541 12397\n3725 7171\n2182 3799\n6339 10673\n11657 12120\n1997 11269\n8328 13367\n10408 11312\n4345 10893\n1701 14534\n9055 9060\n7153 7502\n10900 15004\n4954 9672\n11663 14767\n7693 11253\n1018 11211\n6709 7064\n7929 10771\n4355 12476\n9026 10826\n10825 14020\n5248 15074\n5315 9779\n5824 11548\n4223 6607\n8253 11945\n5502 6387\n5427 6473\n14266 15637\n11939 15417\n6970 13099\n5970 14617\n5863 9492\n882 7791\n986 9639\n7584 10773\n12965 14123\n6759 13598\n2672 6349\n3443 5797\n1287 1961\n1746 11625\n4873 12304\n2956 9894\n4266 13786\n3320 6032\n9755 11443\n9756 14115\n2352 3178\n77 11210\n13267 14185\n3831 10477\n3424 6851\n3857 4688\n12223 13657\n3782 5537\n2742 8575\n9177 13395\n13828 14715\n2187 13574\n10339 12624\n4791 10815\n5427 6963\n6259 15033\n12149 13903\n1912 7862\n8868 9297\n4805 14016\n4096 11163\n4536 11680\n11001 14985\n10819 14462\n7256 10467\n3873 6186\n768 6548\n4794 14584\n1047 5746\n1530 9941\n4442 14040\n5606 11756\n3239 8476\n1913 8912\n605 3306\n5401 10697\n862 8669\n1185 6480\n4832 11024\n3324 12312\n2354 3102\n8417 9030\n1390 5128\n747 15240\n1409 11753\n6943 14968\n6594 11000\n6091 8776\n5130 12732\n1444 15320\n13250 15547\n9239 13970\n986 6210\n5865 14194\n55 12696\n1756 14964\n12478 13780\n1344 3969\n4213 12189\n5243 14024\n2687 13035\n509 4368\n11711 14035\n3178 8229\n1432 12694\n12202 13960\n4839 8195\n9763 12083\n2452 14402\n2048 6889\n12738 14923\n13315 13951\n2341 4637\n1448 2279\n11318 14370\n2445 8940\n4056 13834\n6516 14603\n6243 13236\n9181 13039\n2972 5428\n3904 12737\n164 14026\n2088 12970\n5054 12960\n2748 12605\n6880 14125\n3522 7388\n4164 10067\n7905 8088\n2098 9950\n4464 12471\n3594 14897\n8232 10105\n8407 9352\n5168 14842\n2336 13611\n2965 4589\n5367 13941\n5953 14720\n1680 8361\n12110 15452\n3310 10485\n12293 12334\n7316 13307\n2554 14996\n352 1464\n8484 8999\n137 11546\n1081 6140\n2330 15099\n10101 14903\n3386 14106\n8720 11352\n364 7552\n759 9257\n7251 12469\n1556 11452\n2847 15333\n825 12555\n7046 14185\n298 6254\n783 4236\n1943 12247\n4891 12991\n5179 9626\n14300 15149\n7032 13617\n835 8224\n447 11972\n7819 12189\n10923 11837\n4649 13852\n6383 7460\n6717 9280\n10626 11898\n4178 10990\n7011 15337\n5377 15615\n1013 8847\n309 6311\n3441 11310\n4496 8637\n5720 11791\n7415 15073\n687 9708\n2634 12405\n9278 11638\n4380 10168\n4261 5510\n4573 13266\n9249 11974\n2745 8543\n1793 14597\n2726 5415\n3739 11008\n7840 14916\n8494 10642\n1705 15023\n3099 6219\n3549 15436\n7572 8659\n2253 9396\n6747 11099\n7996 12733\n2721 3796\n1047 10305\n6428 7694\n4740 9248\n4408 7709\n5370 9711\n10642 13672\n8023 13646\n2328 7740\n2224 14111\n10542 11460\n2261 9943\n609 3209\n6299 7667\n7506 12788\n817 3141\n4677 4746\n6286 8817\n11769 11959\n5344 10702\n25 11727\n4129 8778\n4586 11208\n10458 11308\n10940 12383\n7630 12408\n11466 15221\n1011 9934\n9370 11591\n4357 6808\n4124 11361\n12400 15406\n6792 13586\n967 8606\n998 2655\n750 5401\n5077 5536\n2752 7957\n4750 7874\n3826 12933\n913 13855\n1788 3585\n3993 8556\n7834 10274\n2207 13418\n8629 9448\n739 2464\n8359 15469\n10357 12752\n4987 6105\n3972 5569\n4846 8068\n11400 14421\n280 11578\n7659 9784\n8543 8604\n2107 6486\n6969 8929\n8506 14878\n2578 10999\n6764 13153\n8596 9997\n4657 11334\n679 11392\n1842 7427\n4343 13886\n962 7740\n380 11398\n4700 13582\n6717 15122\n3580 11933\n3280 11671\n4916 13630\n326 12174\n7216 9803\n9520 13064\n1022 6907\n3808 6982\n307 1680\n10638 12962\n172 11348\n74 7296\n3702 14020\n2447 6539\n2461 6138\n1394 4672\n165 14632\n2666 9324\n5526 10462\n10876 13967\n6343 6658\n8368 8863\n298 14004\n9204 9546\n1538 5184\n286 4738\n438 11884\n5675 13584\n6182 10469\n11168 11189\n4853 15164\n511 7696\n11397 15306\n4906 8377\n2691 5676\n3156 5907\n5432 9193\n1595 2052\n6611 12012\n7419 10571\n3390 13928\n359 3740\n6047 7717\n1879 13560\n6151 10244\n6409 9353\n5127 6847\n4969 9505\n2773 14385\n657 13571\n4703 12616\n6940 12455\n12853 13120\n10215 13317\n9952 13916\n2982 9054\n743 9790\n4267 12469\n3465 13082\n3102 9084\n4568 9344\n4090 11013\n10946 15328\n14729 15451\n8695 14298\n1592 9977\n6968 13067\n1557 11184\n8491 12392\n14540 15424\n7112 9290\n2681 11921\n3258 9319\n7626 8328\n4320 4677\n8708 9667\n7395 13154\n7459 14486\n2558 9717\n3427 6438\n2525 3756\n7025 11835\n8377 9854\n248 11803\n5552 7033\n8888 13969\n5082 13629\n6822 6929\n1907 7800\n5733 15307\n3747 10635\n1981 14323\n1863 8090\n1128 11606\n4250 4407\n10201 13372\n3058 7914\n2266 5721\n9434 10388\n10774 13766\n776 13737\n3907 12906\n2106 14042\n6193 12073\n3189 3569\n1383 4091\n713 2913\n13985 15429\n1545 3846\n3848 7822\n1113 5614\n903 15261\n1130 12594\n7550 12277\n2029 10020\n404 525\n912 5222\n1488 14307\n10046 12488\n2028 10606\n4904 9704\n2646 7508\n9167 14614\n9626 13072\n2653 11217\n9870 14441\n6723 10361\n8543 9158\n7281 8676\n2273 4494\n1233 2830\n1663 12684\n3472 14986\n6155 12543\n197 11201\n420 722\n7435 14337\n1849 2150\n9937 14682\n1500 12276\n4127 9098\n9029 13970\n3253 13915\n3279 11496\n5267 6896\n10656 11968\n6738 10427\n11068 15450\n6806 14212\n10439 13265\n10239 13500\n4360 10242\n1650 10422\n11331 11993\n6383 9642\n12243 13326\n6739 15394\n5280 12504\n1117 11735\n1003 4426\n11007 14550\n8219 10997\n5652 11976\n1924 10099\n1257 10632\n5674 6086\n4484 8961\n756 11765\n2952 8802\n780 14551\n10401 13441\n1734 5917\n7362 12725\n9144 13031\n11186 15174\n10500 11909\n5609 10118\n7484 15551\n4408 14755\n2297 6288\n7273 13070\n8077 15489\n2153 13675\n3523 12604\n5422 7536\n11514 14855\n4671 7901\n6201 8697\n7360 15121\n7985 11865\n4066 5166\n3938 5473\n5390 10050\n4205 8672\n10897 12987\n1049 6450\n79 3321\n9443 12890\n4311 13945\n2810 10754\n3601 7740\n5217 12023\n5244 6041\n10692 15018\n852 14045\n1466 5083\n788 1830\n1017 3968\n3105 3889\n3700 8847\n5384 8333\n9504 10470\n1654 14451\n2037 5960\n5904 13482\n2575 3275\n5407 7777\n108 10688\n425 5262\n5174 11961\n170 10224\n5787 6104\n3605 12137\n3698 12498\n9841 13885\n327 2034\n243 2521\n3742 8482\n8235 15060\n1845 7414\n48 6150\n1437 2837\n7273 8903\n1493 8549\n12764 12823\n5323 9904\n891 5256\n6026 12576\n5783 9913\n4804 5325\n3630 4097\n3422 8748\n727 3300\n6677 11970\n6957 14891\n8918 12383\n5236 9667\n11582 12535\n3398 13151\n8761 14878\n733 2092\n1340 7968\n3390 12804\n2145 15164\n371 13568\n2610 14649\n10151 10953\n4955 8804\n12358 15389\n4317 5686\n1019 7846\n1762 12791\n4293 14823\n5026 5829\n3867 6153\n6497 12455\n10977 13465\n7305 7354\n1527 7369\n3607 4388\n3391 6681\n4214 14770\n4740 8118\n1741 12744\n3864 14057\n459 10404\n6183 6999\n8749 13549\n9579 10250\n6775 6870\n2317 4782\n10221 14675\n5391 5846\n13890 14073\n2908 4353\n5170 7172\n2314 14609\n3773 4613\n9185 15218\n11532 12847\n2049 13158\n685 756\n5903 11756\n10237 11896\n4386 5483\n4643 5874\n9763 11923\n503 2720\n6082 8076\n7964 15435\n7405 11456\n9376 12128\n11272 11341\n1430 3306\n5334 13470\n5602 9801\n8696 12797\n4693 12703\n3481 4250\n7056 7626\n9652 10971\n2197 8228\n6161 10109\n1835 4937\n4372 14256\n9973 14558\n614 3345\n5888 13844\n1911 6563\n8197 12326\n11001 11973\n9889 11409\n1339 15235\n3363 14120\n9188 9942\n6405 15300\n2543 8897\n9536 13894\n3557 13859\n416 13504\n469 15003\n997 14074\n6165 10080\n494 14184\n3648 7769\n5997 7674\n661 2439\n7078 10053\n637 3679\n1771 4566\n2130 3918\n1972 13172\n2014 12240\n182 6108\n910 10473\n4214 6598\n2559 15614\n3596 15180\n11891 13463\n3670 7998\n4235 9600\n2516 10804\n2418 11183\n8104 10378\n3668 7804\n3621 5939\n6551 9487\n8063 15444\n11071 11952\n9610 10821\n7290 9241\n275 11737\n498 14525\n654 9927\n2061 9018\n5982 7809\n462 2204\n3882 14568\n8167 9181\n854 4031\n7526 14944\n3377 14635\n6029 10640\n1860 2043\n11057 12217\n12074 14054\n205 3162\n2973 4660\n7601 15074\n8157 13323\n3876 15598\n5505 11587\n5697 14033\n11911 13684\n3302 10546\n5012 6052\n9052 11385\n7755 9934\n2607 12138\n4713 12069\n9583 14209\n8940 15310\n7737 14939\n2470 6488\n2581 2829\n6296 14752\n612 12344\n4866 10873\n11034 15342\n8661 9372\n6863 9500\n1730 4142\n9443 14771\n9578 12068\n5876 10672\n13153 15150\n3413 15141\n771 6577\n3700 13851\n8441 14068\n5032 6073\n5187 10790\n347 8383\n694 13935\n6279 10673\n1942 8200\n10611 14333\n4249 8073\n12694 15594\n506 8178\n2360 5329\n2967 8005\n2974 4156\n2898 6741\n2176 2485\n8543 9386\n7556 9068\n2139 7304\n10785 14946\n38 14850\n2203 13405\n6162 11538\n952 4574\n7609 11795\n1647 6642\n1720 10724\n3467 14146\n5101 14562\n5600 5788\n1713 9553\n1543 11038\n4640 6560\n8545 12537\n1221 6448\n9332 11079\n5792 15239\n4428 6486\n1788 12985\n131 12895\n6313 6800\n5013 10663\n3332 14801\n11448 13227\n302 10246\n4445 6506\n1508 14981\n1584 7171\n3267 5365\n10340 12757\n1111 9087\n2930 9015\n5620 12509\n8267 15240\n4813 12290\n8846 11968\n9381 14087\n4167 8743\n11539 14470\n7756 11197\n8580 14245\n166 7198\n4260 10705\n2123 2898\n3463 8127\n3790 11455\n7180 11342\n10661 13970\n4621 7135\n7902 10701\n59 5189\n2188 5557\n3473 11905\n12824 14162\n197 10997\n4652 15411\n880 3612\n58 5856\n4528 14772\n6923 12212\n1270 1888\n12584 13785\n8786 14255\n5673 11503\n379 3955\n7634 13335\n3428 15078\n1717 2095\n626 2570\n3487 7512\n1574 7404\n169 5097\n3651 13885\n9633 10408\n503 2214\n7378 7422\n8057 9510\n8047 14562\n3063 7994\n847 3589\n2007 8899\n11319 13990\n4065 9899\n11892 15332\n9759 10445\n1832 7797\n12127 12771\n2765 8055\n7190 13007\n337 15066\n3870 5307\n2013 9108\n396 14341\n10694 13640\n4175 9553\n4888 12223\n2482 8484\n11965 14733\n4801 8263\n7916 8898\n7433 14653\n3586 12809\n9396 13445\n1420 12523\n2216 7592\n8917 11176\n2068 9116\n6040 12856\n1069 1723\n2109 3143\n3122 5105\n6946 12124\n7146 10143\n11718 12072\n4533 8613\n8816 15618\n4351 5307\n3880 11940\n1649 5637\n1061 3606\n3280 10759\n6972 14566\n2670 11826\n31 6093\n10455 15500\n391 6024\n10490 12869\n5014 12517\n2460 14559\n10878 11889\n7911 13247\n10641 15580\n337 7680\n1071 4724\n1710 9528\n7084 15625\n8717 9517\n10546 15154\n4758 15578\n5450 12744\n1273 11698\n763 10190\n5370 6242\n6057 11732\n5672 11916\n6764 13749\n5659 14410\n4398 7222\n201 8338\n11390 14808\n984 8640\n14550 15359\n10701 14492\n4712 6499\n7192 9525\n342 8181\n6249 8902\n3980 9327\n9982 13529\n3069 11706\n3866 5946\n7281 12741\n4050 12413\n7585 13322\n2311 7019\n5333 10062\n461 1545\n5515 6111\n856 5570\n3144 10061\n2662 11043\n3647 4061\n1130 13144\n2475 4024\n6647 10513\n2097 12219\n1154 2951\n3540 8942\n7372 7882\n6866 10704\n7467 8580\n5163 14316\n11433 13856\n7725 8139\n6799 7038\n6176 15365\n6249 10083\n3967 13064\n172 5142\n4219 12351\n6474 9044\n605 938\n4234 14759\n9587 14675\n5694 9828\n953 15105\n6990 9595\n8530 12021\n8671 13971\n400 6883\n9233 14440\n5431 8867\n3979 14529\n4874 6454\n8583 9643\n3891 14151\n3453 6177\n3401 7009\n1520 8152\n512 10234\n2278 3139\n4516 9978\n7422 12338\n2564 9734\n378 2001\n5826 10887\n4815 11017\n8707 8790\n12792 14020\n625 2739\n5433 14283\n10694 10749\n4837 11741\n4392 12944\n5802 14011\n4283 4806\n10212 15532\n467 8091\n3304 6796\n10056 10308\n7088 10218\n7383 9239\n10824 11265\n2145 10477\n314 2663\n1031 1364\n5445 14460\n3974 7877\n1775 6710\n2335 8939\n6030 7821\n8380 9209\n583 3000\n5908 11472\n9135 10743\n5525 11885\n2341 7015\n3061 3995\n5405 7821\n2315 8454\n5097 6051\n8802 12152\n38 9740\n5687 9224\n4229 9349\n8724 11999\n7605 10013\n6041 10629\n10773 11358\n3859 14272\n9610 15295\n12943 13706\n4224 8345\n447 9798\n3715 12667\n5912 10504\n13 13273\n4846 9373\n2914 5350\n1639 8608\n13293 14857\n602 1681\n9850 10329\n308 13751\n1095 9367\n3787 8070\n10822 11647\n1065 5760\n1787 4006\n4361 10321\n3478 10233\n9011 13665\n1671 14118\n11695 12085\n5541 8856\n4970 10835\n1524 10723\n1959 10844\n2279 10357\n8483 9529\n8047 12339\n6775 11400\n9964 12845\n3541 7637\n7698 12051\n7417 11916\n4701 14064\n10674 14341\n2012 2080\n3326 5827\n330 4032\n368 14077\n1743 2805\n7024 15488\n709 11750\n7655 9543\n3425 14617\n5435 5838\n9138 15569\n4056 12072\n8398 8532\n10878 13125\n2663 8847\n10728 13776\n2238 12546\n1071 5409\n9000 10906\n9356 12435\n8263 10624\n3630 5916\n667 8352\n2633 9468\n5135 15502\n285 11470\n5057 6065\n809 11586\n4879 5775\n4535 8213\n945 1506\n2787 13452\n3493 3961\n2346 15647\n2094 7769\n10767 12235\n10202 11051\n13453 13551\n4662 11827\n4834 13917\n2104 13475\n1897 12713\n1543 14498\n4719 5941\n6799 11209\n4115 11684\n8169 9574\n245 2073\n5565 10558\n6282 11310\n1549 3220\n10731 14838\n1736 12736\n14458 15252\n8632 11539\n5288 5554\n10279 13244\n4181 4912\n5112 11732\n3239 9616\n156 732\n2689 4822\n3997 4443\n9394 9898\n2764 12637\n8989 11291\n4972 13651\n2730 8934\n3292 4885\n4197 5807\n2898 8774\n3880 6843\n1623 11526\n7480 12235\n308 1176\n152 8693\n1301 1766\n1973 11131\n5112 14965\n2480 4617\n8063 13339\n8491 13245\n2265 11105\n5434 11725\n2942 9163\n3259 5538\n142 11117\n2801 13276\n9483 13721\n3370 13069\n4084 10103\n694 8731\n9452 15416\n11308 11318\n7071 9605\n9518 12673\n8951 13310\n2134 6941\n1938 9806\n8048 14485\n9574 15162\n2966 7896\n8037 8588\n3808 11226\n5896 7200\n6665 10047\n3503 5183\n4390 14094\n3296 9407\n5783 9361\n1954 12998\n4567 13531\n8076 12994\n12194 14258\n13792 14576\n3282 10019\n3695 13639\n1940 5189\n5491 14188\n7963 8954\n2012 13982\n2472 7982\n543 12971\n11734 13843\n1353 2363\n2887 14597\n6190 12729\n2822 8757\n6265 14219\n1340 8344\n12126 14341\n12221 12726\n1668 6559\n4165 12015\n5688 8805\n1257 9273\n6228 12733\n7586 13362\n3024 14747\n1428 9046\n6500 10349\n569 2238\n5843 9018\n13171 14751\n1928 8400\n9126 15182\n2659 5103\n909 10743\n9073 15064\n7165 13607\n11862 11911\n1684 5377\n290 9548\n449 14806\n1033 11038\n365 10084\n9052 10257\n9119 11892\n3303 14230\n532 8926\n2311 4704\n3742 13899\n5962 11291\n4825 13357\n11119 12316\n237 7754\n5912 10163\n2668 14255\n5243 6619\n5037 11621\n5480 5829\n7707 9282\n4965 14726\n8972 14172\n6008 12718\n9290 13397\n3188 5981\n1213 7769\n6315 9837\n1447 13701\n4162 4302\n3752 10138\n4906 9220\n95 8967\n6112 14391\n993 8228\n9593 11297\n3039 12684\n5807 11011\n2042 2871\n2346 2849\n783 9890\n5865 9529\n8588 13346\n7479 9530\n3697 4068\n5054 10437\n14599 14937\n1587 7646\n3701 10629\n6039 11591\n7112 14303\n3918 9490\n4356 10614\n76 9824\n7416 13171\n7790 8902\n3296 6341\n975 4641\n5218 10602\n1018 9963\n8064 13092\n1068 7199\n13966 14229\n5487 6268\n141 11767\n3486 9068\n9016 10583\n2638 3961\n10739 11633\n3608 5710\n11260 13843\n1287 10967\n5854 15501\n7388 12765\n5462 9179\n4183 7523\n4168 13952\n4994 6989\n10108 14980\n5262 15146\n4077 7432\n2268 7575\n3198 11153\n9247 12163\n1876 13148\n11012 11767\n10057 10690\n5223 7655\n1196 13198\n3281 7138\n2455 15218\n602 888\n11545 14071\n822 15426\n13182 13829\n7637 12737\n7643 15450\n7710 14184\n1324 3201\n1781 13913\n468 10311\n6335 11482\n10383 10693\n11143 14416\n8057 11624\n980 15082\n3280 12070\n7028 9930\n4587 8824\n3818 15062\n6895 14829\n1793 3567\n3698 6181\n8721 11670\n5370 14231\n1206 4551\n5223 9161\n2876 14024\n2928 9821\n2184 11944\n7063 11081\n3322 6597\n13235 14397\n2458 8318\n472 9335\n1093 11111\n3893 14381\n5920 11555\n1822 8526\n8356 13453\n5783 13301\n482 13677\n6729 7965\n6086 6611\n153 11813\n2548 15628\n5242 8910\n4227 6665\n10134 10842\n2650 8606\n10131 12849\n1509 15572\n7530 9667\n314 6048\n1726 1743\n911 14445\n4400 5102\n3483 12002\n8893 13286\n10875 11177\n10645 13839\n3946 12577\n2642 8409\n7438 10954\n13553 14410\n5628 8089\n1150 5848\n431 4976\n3131 5358\n11875 15562\n3428 7631\n2984 9329\n5594 11882\n4399 13943\n1781 9096\n7217 8582\n1823 13892\n2097 5324\n3788 11321\n6940 13068\n275 10110\n5303 15516\n1927 4267\n245 843\n10458 15403\n11924 13235\n2173 9791\n2185 3487\n11931 12445\n10297 11628\n11879 14403\n3414 8123\n7378 12402\n6341 10941\n6623 6952\n8931 15417\n30 13751\n1014 11302\n8481 11050\n4348 8629\n903 14248\n4697 9258\n2077 6617\n43 15454\n7750 9304\n8706 13795\n747 12797\n2642 7529\n2003 7663\n7995 13681\n1952 13343\n3429 4883\n1224 13635\n3042 8489\n7733 15314\n6584 14731\n710 12863\n4137 5047\n10802 12252\n9903 10967\n9323 9573\n4527 11330\n1129 9960\n10730 14161\n3963 9535\n8725 14027\n863 7340\n5512 6294\n5157 11897\n410 5078\n7375 9970\n5938 11664\n11969 14590\n790 2592\n14228 14330\n7515 15436\n1846 6412\n7877 11679\n4652 13600\n8471 11423\n1949 4300\n5419 11588\n9439 13401\n1593 6420\n1985 14572\n1029 15406\n363 3160\n1183 15356\n3720 4069\n2732 6994\n7980 14247\n3862 15214\n402 5031\n14434 14489\n4002 6080\n11522 14457\n5673 13137\n319 350\n4138 5794\n4149 15292\n4549 11334\n3793 7040\n2465 13685\n10427 11010\n5932 13034\n2440 6879\n2178 14325\n753 8602\n14916 15419\n3001 7169\n579 11553\n783 5541\n5758 8544\n6103 6117\n2216 11240\n4680 4829\n1789 11196\n6758 7980\n9574 13000\n4296 5683\n6325 8527\n2032 12406\n6821 7670\n10075 14714\n6369 10604\n3201 14879\n3082 4779\n4246 11278\n756 11832\n569 3513\n12080 15454\n12899 14096\n1463 9475\n8900 11034\n3540 11161\n4722 7778\n1955 15336\n6932 7814\n9489 10522\n1192 5546\n4619 5466\n13690 14075\n2477 5462\n50 9437\n7288 15636\n9041 15645\n383 10969\n1036 1802\n8602 10060\n3237 4577\n1981 12401\n1890 9766\n875 7945\n1470 14205\n261 12954\n1051 4628\n2303 13187\n8967 12325\n4816 9206\n3893 11153\n4576 10054\n9836 12853\n2157 15628\n10912 13914\n45 1937\n4030 9855\n4899 5181\n2160 14849\n5874 10478\n4172 7677\n970 10025\n8140 15075\n1660 6638\n1330 5332\n3443 12226\n562 7469\n9789 11756\n2535 11193\n6103 10135\n6839 7264\n3413 9947\n1823 8625\n1394 14807\n9007 13001\n3559 15510\n6913 9295\n7220 15497\n2145 4483\n1041 8881\n1992 13526\n4025 14238\n7567 11225\n7142 13649\n2489 7163\n3257 12767\n4962 6034\n1723 10998\n9469 13027\n11187 13657\n2706 3397\n9524 9973\n9148 13962\n720 3470\n11226 11267\n1654 10172\n10730 14087\n2307 11505\n5816 12374\n4939 7583\n6387 14822\n2920 5951\n9528 13954\n618 5090\n1934 13864\n12897 13993\n1293 2167\n5238 8469\n5363 6723\n9200 10053\n5231 10597\n3966 15485\n6651 7419\n6134 13153\n315 4032\n11836 14707\n4571 12060\n11811 13257\n3889 10589\n8319 12982\n1888 5857\n1302 11935\n2590 14410\n8052 13659\n1613 8888\n3665 4030\n2954 7761\n8861 10866\n3650 12873\n9447 9546\n11354 12851\n646 13101\n11572 15327\n3351 8212\n3313 9426\n549 9988\n3845 12386\n7154 13116\n4863 14297\n5342 13738\n11303 14956\n8906 12147\n11227 11278\n8479 13148\n3079 8227\n3466 6324\n13166 13460\n8429 11282\n837 14363\n7061 13360\n4720 6191\n318 6094\n1056 10461\n4602 14319\n6685 15245\n1524 4413\n7643 12800\n4507 5435\n8242 9240\n8675 13890\n4067 7904\n7810 8222\n10616 11553\n8813 14264\n2349 6011\n4439 9131\n7253 13816\n2198 3737\n513 13838\n15367 15535\n11915 14035\n2084 8000\n8306 15330\n5708 5801\n726 1589\n6815 12552\n793 14657\n4481 10573\n5088 5850\n9800 12449\n2757 12217\n11741 13926\n5385 6859\n2714 7945\n9514 13361\n9115 10002\n11218 11385\n9035 11310\n2663 11208\n5277 8184\n10575 11867\n8101 15327\n4451 7785\n8419 11782\n9956 10550\n6075 15006\n1581 15134\n11867 15290\n6586 7268\n10479 14770\n10933 11516\n14220 14758\n7707 13213\n9851 10885\n11918 13773\n9078 10411\n2863 15028\n4682 8471\n6352 7606\n2333 8180\n8215 13448\n2159 11820\n10771 10973\n5926 12462\n2736 8635\n7754 10017\n3027 12350\n2778 14755\n14324 14813\n597 12118\n4004 7187\n6113 6585\n11952 12536\n7737 11931\n2247 7913\n12293 12616\n13384 13997\n11007 11608\n2627 2985\n5431 9389\n10953 13113\n1098 3005\n3100 11165\n8109 13072\n1572 4096\n11760 14618\n1354 3850\n7211 11979\n6499 9407\n1873 5128\n1135 12955\n788 8218\n8110 10816\n4879 11527\n7690 13331\n6170 12469\n7612 14791\n3872 7283\n4432 7832\n8362 11543\n7054 13623\n1481 14033\n1069 12203\n422 11979\n3049 13288\n2637 14577\n9510 15113\n3648 9968\n6891 8877\n10539 15251\n12155 12245\n2704 2710\n2406 5268\n3787 6278\n14814 15321\n2371 7800\n4932 10282\n1662 13108\n8022 10206\n1139 4960\n7831 12484\n10066 15189\n4349 14106\n1303 3086\n5048 5689\n5041 10825\n5621 8512\n10557 12868\n6932 7605\n2684 9792\n10079 12413\n4281 11017\n3329 4491\n4359 14622\n5158 8297\n10223 15457\n101 11206\n8703 13657\n138 9721\n9571 13558\n495 637\n3528 4391\n5970 9544\n12907 14365\n315 2816\n2303 2476\n1837 4174\n4827 15394\n5688 10046\n4310 14494\n1502 12347\n3451 14727\n6302 15324\n2551 8349\n6950 7833\n3863 9881\n3404 15328\n4021 4651\n2079 2205\n13200 13790\n3020 11096\n9694 14365\n2961 9951\n2011 3009\n9147 13989\n7136 11626\n2384 10682\n8802 14080\n2249 8901\n5337 11554\n2198 3763\n131 897\n3615 9903\n10769 12299\n4083 11377\n2562 8087\n780 13811\n11524 12188\n2579 7785\n11960 15442\n6578 13305\n1858 9783\n639 7160\n2826 5701\n1097 3824\n6724 7264\n8666 8928\n102 7648\n6138 10722\n77 7767\n1393 1997\n4296 11796\n4239 4950\n8629 12957\n10718 12337\n2086 3847\n2973 12057\n8095 12649\n7921 15115\n13152 15048\n5163 10977\n12013 15121\n3086 8093\n5957 13222\n1857 11408\n6731 10611\n9797 13743\n4118 4668\n1690 3224\n606 12316\n6398 11261\n2163 4067\n933 8329\n3745 14648\n7233 15634\n1164 15583\n9629 9941\n7625 12657\n4712 10102\n8639 10033\n2772 9787\n1244 4273\n3352 5241\n4938 14289\n112 6569\n6249 14476\n12121 13861\n4133 7016\n2580 5483\n2587 3993\n5214 5877\n5427 10838\n6919 14080\n10858 12114\n888 3020\n4155 13046\n2315 4278\n3800 7550\n1767 12748\n7187 9963\n10972 12852\n9640 12128\n1666 2301\n9329 13174\n5217 10970\n1182 3420\n2285 3538\n5445 14928\n2249 9000\n9183 14504\n4994 7553\n3498 6765\n9812 14738\n2306 7642\n1474 10944\n8994 10349\n1863 6389\n2800 12414\n4398 12304\n9424 12295\n7819 14160\n409 6766\n888 7763\n802 7672\n1670 4911\n9093 10124\n3067 10336\n2930 12224\n7202 11288\n10834 15539\n1966 15078\n828 14407\n10611 13725\n1668 10201\n4697 13183\n6955 8581\n10882 12113\n7985 10575\n1082 12976\n14027 14174\n11648 12541\n10262 10402\n4434 12867\n879 7405\n3934 12327\n10122 12233\n3555 12118\n3498 8840\n417 15605\n957 15641\n598 3818\n4379 8468\n194 3330\n13203 13774\n5682 14465\n4049 9713\n3896 5264\n2459 9809\n8248 13962\n6625 12085\n3837 9484\n7429 14405\n4294 11183\n2235 7987\n6676 15372\n8046 12102\n6843 12104\n3968 13620\n1314 9525\n14307 14651\n4528 7556\n2511 7187\n2299 11542\n3038 6556\n8928 11909\n292 10667\n6201 13476\n2288 3148\n1606 7335\n13192 14229\n5760 9002\n3826 13086\n10109 12759\n4615 7178\n2378 10202\n10650 15597\n3203 15358\n1958 13436\n6862 8995\n2160 3025\n7036 13480\n4913 11686\n428 10559\n8429 12050\n4928 11351\n832 2507\n5557 11125\n1088 1471\n3269 12398\n461 12013\n5267 13670\n1280 12746\n1852 8528\n4949 10899\n2171 9679\n7081 9222\n5548 9190\n7992 11145\n9263 14023\n11869 12492\n10581 15022\n12846 15479\n203 2483\n5305 10774\n4437 8950\n5466 15398\n10767 11151\n4549 13567\n4615 10608\n8826 11558\n9662 10463\n9475 10654\n3184 11917\n3618 9416\n3766 13621\n9720 14361\n13728 14167\n3622 12576\n4941 6417\n4326 6373\n9194 14626\n1735 2636\n2217 8378\n1180 4428\n11069 13707\n739 10364\n3686 3865\n4071 8471\n4127 11827\n3145 14683\n2855 10970\n6588 13347\n6402 12618\n2648 10889\n8852 13365\n770 15582\n9394 14687\n6492 8107\n1639 15049\n5255 10278\n774 3709\n2234 10437\n8085 8304\n1753 6024\n3009 8474\n2886 3710\n1045 6322\n3371 6035\n11464 14139\n13094 14706\n1235 9787\n8592 14617\n112 11055\n1037 5170\n7561 15284\n3973 13337\n3574 8985\n2146 10812\n3649 12107\n11879 14571\n7115 7630\n5754 8648\n5388 9195\n1224 5630\n2840 4940\n6697 7072\n348 15176\n519 9460\n601 10408\n10018 10962\n8059 14057\n5686 6107\n4790 14542\n124 4120\n2782 15455\n10416 10528\n9385 11583\n4284 8593\n8039 10837\n13626 13751\n6145 13349\n7930 12370\n1251 10204\n10515 14016\n515 15060\n3399 8641\n980 4247\n11178 11278\n3542 14619\n2547 14681\n1216 12984\n1120 4824\n709 2533\n1972 8416\n3309 5652\n7780 10332\n10364 14243\n1661 8640\n11620 12878\n11826 15150\n3851 12382\n5824 5871\n7967 13315\n890 4839\n4478 15168\n10366 13865\n3179 8163\n9924 15302\n1387 11642\n2056 10976\n3459 6665\n2340 14103\n1547 2581\n352 15167\n2106 2690\n10058 12721\n7326 7961\n7921 14296\n1579 2274\n9860 15041\n2141 7871\n8625 9479\n13841 14210\n2124 7375\n459 2001\n11314 14869\n432 523\n2003 7233\n10741 12654\n9977 14862\n4483 10469\n3003 5041\n2200 10834\n1211 9578\n7173 15220\n105 8531\n413 14873\n7365 7659\n1425 5133\n5586 6586\n800 1903\n4302 4998\n5108 10513\n618 11757\n5300 6104\n4584 11758\n6323 9874\n3327 11070\n5938 10316\n75 2698\n5941 14570\n9 9630\n2570 5266\n3037 8985\n10086 15518\n2509 2781\n308 4301\n10817 11109\n1712 4678\n7761 9890\n10187 14424\n1472 10164\n2756 10598\n6857 15498\n2560 9121\n11562 12147\n8890 14616\n4112 15053\n10318 15317\n4267 14007\n8273 14656\n5671 9489\n762 13609\n799 7999\n2052 9660\n1349 12025\n3603 9909\n5266 12982\n11384 15300\n2295 3853\n1812 4858\n2440 11854\n7683 9239\n2275 13735\n7918 11269\n7945 12274\n1257 12100\n8941 12363\n5922 10023\n7022 11568\n10438 13646\n3041 6297\n1171 8558\n2521 9969\n9315 12440\n1069 9364\n8879 12800\n1629 6736\n2382 4585\n8859 15626\n602 10831\n10544 10921\n10172 11918\n8092 9284\n8629 9847\n4730 15533\n12 85\n5913 9304\n4684 4979\n1386 9372\n4504 15108\n1062 6821\n7869 11403\n1505 14403\n12109 13414\n2793 15153\n4352 6410\n2080 13245\n2238 14602\n3898 8946\n6932 12590\n265 15341\n2032 7460\n8824 15594\n13657 15405\n8793 12618\n2252 8559\n2151 11345\n1886 7389\n7007 15560\n799 6739\n3045 4281\n7494 9018\n2841 5074\n7117 7565\n11429 15225\n8854 15306\n2290 15610\n1791 6215\n3681 7804\n9745 9763\n9338 14083\n6212 14912\n1116 13555\n790 13498\n297 3055\n826 2361\n7252 13691\n5865 14433\n8980 14175\n3143 14733\n10574 13239\n10400 15386\n5736 6899\n596 7466\n4139 10509\n11283 14465\n4784 11753\n2529 8259\n280 5996\n2018 15371\n320 9801\n6988 15073\n5882 12738\n845 2686\n6665 14716\n4557 13316\n3845 4474\n5800 13308\n9313 9947\n7471 8331\n5132 6426\n5076 5644\n4637 11656\n708 6194\n9055 15419\n9190 10826\n6098 10232\n364 2076\n9405 12383\n7881 13535\n4902 15612\n8778 12727\n14935 15018\n2753 14247\n8604 15308\n4464 5547\n5028 13166\n4665 15159\n4182 11928\n8147 8494\n1977 7644\n12836 12976\n5 15411\n2934 4420\n850 1384\n10771 13700\n2593 3351\n3779 4848\n8430 11873\n5632 6586\n431 6213\n1430 9500\n11260 11678\n4766 9362\n3502 8976\n3699 10422\n2470 5862\n1454 12453\n7861 10902\n433 12226\n325 8532\n3911 14211\n303 8032\n4234 14666\n7720 9511\n6116 6883\n1852 10570\n4168 9460\n1116 7201\n4913 14618\n8087 9873\n1666 14190\n14054 15024\n5490 7929\n2728 12838\n698 8991\n5340 8050\n896 13620\n3038 3282\n10052 10367\n2003 13786\n9164 11817\n8652 13386\n6509 6638\n3561 9133\n3335 6856\n927 6605\n1886 9887\n8741 10770\n711 12486\n2825 3097\n6145 9306\n10012 11701\n10781 13838\n5078 15178\n3847 8683\n2458 4941\n7091 7604\n6331 13380\n1221 9608\n873 4122\n8474 8653\n9002 9237\n7791 12421\n2033 9604\n3402 8830\n2952 4194\n1299 14357\n5784 14663\n8242 14850\n1658 5521\n7351 14547\n13086 13246\n7247 10957\n987 4911\n8111 12944\n1943 14848\n4770 10458\n12233 13741\n8307 15034\n4240 13461\n4809 13184\n14173 14569\n9358 11183\n3269 11870\n7822 15242\n2569 4568\n4121 4853\n13512 15392\n7607 9907\n9241 9367\n5284 8981\n6749 14873\n1718 8372\n10750 15302\n9853 14026\n6288 10347\n3638 5798\n6285 14802\n6616 10372\n800 9221\n725 2991\n7770 11764\n4678 12230\n5962 6688\n7865 14508\n6390 6725\n7308 13969\n1668 8095\n13832 15306\n4365 9585\n2 6948\n93 11605\n3402 7603\n1621 8380\n13215 13522\n4008 15493\n301 9705\n1676 14036\n5313 6084\n724 4770\n2946 5768\n5068 7475\n39 9188\n3725 14530\n1343 3299\n925 10023\n942 14505\n538 12084\n2567 14876\n4112 6078\n3587 11350\n6210 8548\n7801 15165\n9479 13173\n1477 7125\n12299 12498\n3295 6678\n8211 14143\n3950 14584\n10111 12855\n4047 12001\n3624 10737\n381 1211\n9887 13013\n4089 15207\n5082 11994\n3767 9111\n3933 5014\n2385 6219\n4574 9532\n37 14444\n2193 6220\n3491 6362\n2884 2972\n293 13134\n401 4438\n1210 3925\n1192 13373\n8713 14601\n7531 13746\n11450 14579\n1635 9152\n1479 11490\n13888 14071\n9022 11875\n6613 11157\n5671 14261\n629 840\n8827 9288\n2491 13514\n4504 7006\n3038 5888\n295 8373\n2256 2272\n7229 10343\n2552 5781\n8105 8541\n4331 5850\n2227 2833\n8125 15118\n7292 12838\n1449 14056\n8647 15580\n10452 15150\n331 2171\n3126 14137\n13716 14407\n5661 14684\n3229 4605\n5881 11105\n9456 10156\n7536 9782\n603 11581\n10510 11229\n3671 6182\n9638 10919\n11299 12042\n4947 11768\n74 3983\n8146 13232\n8295 8989\n9670 14906\n720 5670\n2319 6552\n2218 14039\n7461 9710\n1499 14810\n241 11749\n10670 13533\n6554 12469\n2772 15173\n11480 13078\n3370 6568\n6170 9407\n10842 13299\n5553 11467\n5617 14281\n2027 5584\n8180 8924\n12766 14349\n5934 12772\n326 6349\n10972 15015\n519 1611\n7036 13369\n1743 7329\n8872 10178\n10158 11590\n11646 13847\n249 13626\n4346 9742\n350 5790\n2038 15217\n10716 14456\n4044 4632\n2560 6079\n5951 8832\n1531 2701\n49 3410\n12785 15352\n2333 5747\n14373 14861\n1335 9176\n4606 14085\n233 3750\n4170 13651\n1131 12130\n8643 12086\n567 8793\n12304 13729\n4286 5223\n8026 9183\n989 10965\n4972 15403\n1872 4498\n11173 12213\n3016 13528\n4111 7931\n7514 14994\n3205 7650\n5955 15490\n8646 11819\n3859 4837\n4777 9257\n9068 9472\n2351 2951\n3558 8450\n10935 12101\n4711 13461\n5140 15525\n1143 6628\n3010 6757\n12413 13662\n10163 13041\n889 10468\n8985 13976\n6783 15157\n5703 14529\n2539 7492\n2263 2523\n2313 9488\n8371 12754\n7254 12799\n5027 10776\n6303 9977\n7660 15581\n6062 11135\n4685 10905\n701 12497\n3222 14202\n5759 11540\n11423 11818\n11171 14636\n5092 8719\n5597 11286\n345 1278\n2665 8841\n2159 8570\n2937 8841\n822 14440\n62 1363\n7906 11483\n9828 10654\n2700 8528\n9975 14712\n4455 14501\n96 8648\n5792 8476\n3443 12693\n4821 9041\n3931 8733\n3024 12320\n10278 13857\n5015 12853\n1284 11901\n5611 13071\n6134 8240\n9677 11431\n6756 7630\n4736 12570\n1499 13156\n967 5361\n715 14035\n2584 14303\n7987 14432\n4796 11826\n11646 14307\n984 13291\n7651 13461\n6944 14360\n852 1128\n5252 15136\n1792 9454\n7405 11717\n2094 15198\n12817 15297\n2463 8712\n1866 3746\n7278 11104\n435 2877\n1331 10326\n10306 15248\n1086 7035\n13223 15392\n2905 3502\n4043 6438\n702 2770\n10511 14303\n3583 9013\n8548 8995\n4067 6019\n12468 14086\n7501 11801\n310 9308\n1959 10391\n7081 10470\n12088 13889\n12042 12873\n6006 7490\n4618 8622\n3094 14011\n2256 2277\n10605 13898\n13650 13860\n6404 11453\n2592 7251\n6046 15455\n1954 9520\n3055 13726\n13120 15147\n10992 12534\n6120 14583\n629 12275\n7541 12608\n242 13047\n4545 11469\n1347 8475\n196 12914\n8310 11189\n8662 14505\n7211 12680\n7030 7093\n3342 14835\n715 2842\n7702 8642\n8515 10769\n874 13121\n2322 13855\n7038 13979\n802 6099\n11759 11933\n1360 8427\n1502 13063\n13960 13968\n770 7886\n11328 13707\n6811 12426\n913 12399\n5707 10784\n8931 11617\n4107 14184\n1907 13989\n689 14595\n2034 12705\n1221 7744\n12808 15352\n4533 4537\n2056 8318\n2430 7224\n927 4076\n449 8485\n893 4331\n10330 12889\n9099 12043\n845 7201\n5370 5671\n7907 11111\n6517 14230\n3181 6839\n3148 14034\n404 3948\n3673 15148\n3697 10577\n1818 2896\n2871 8491\n4331 7805\n1684 14755\n2662 5732\n11732 13799\n12473 15104\n3499 8491\n97 4099\n2048 3223\n12410 14481\n2575 12264\n10737 11887\n5706 6759\n11206 14589\n5763 7209\n850 3286\n6860 11068\n6804 10357\n11082 14012\n2161 10851\n7453 8463\n574 12791\n243 3736\n2747 5652\n4947 6575\n2406 11076\n3756 13597\n144 15309\n484 4804\n1940 2190\n7789 9450\n6742 10424\n8277 9243\n3969 12125\n627 8614\n11611 15430\n2043 14190\n8759 12340\n3129 11800\n5135 6891\n2824 7948\n12644 14865\n100 3079\n6848 11679\n5869 11981\n9252 14800\n772 9294\n9685 15481\n6770 8239\n1309 11623\n11845 12615\n2549 7906\n14579 15267\n4409 12206\n698 1555\n7538 10411\n13815 14291\n906 5536\n6363 10741\n2117 12648\n12198 12287\n5189 5510\n903 13993\n14407 15489\n1309 10015\n691 13174\n6046 10842\n2802 8988\n2450 5761\n337 5206\n11488 12418\n1669 7696\n5148 9863\n3248 9403\n2928 15077\n8723 8992\n1489 2856\n6608 12652\n4048 10111\n12486 14130\n9984 13020\n2387 15550\n3114 9433\n2759 10515\n8190 8491\n4047 8040\n11602 14687\n4354 13426\n9651 10313\n1752 4190\n1440 14047\n9281 9913\n3804 15122\n5300 7798\n7318 10340\n1226 13830\n6496 9021\n1622 11669\n3980 3983\n254 11635\n1631 3515\n788 13417\n10781 11120\n3239 7338\n6982 8399\n2590 8345\n9030 11402\n442 565\n12755 15500\n8295 15580\n1351 13067\n4478 5825\n4358 9174\n8236 14007\n6771 11596\n7800 12460\n327 635\n10941 13956\n608 14763\n3637 13584\n6345 9844\n6587 6890\n5152 14460\n4585 14153\n8033 13492\n7074 14516\n3913 9638\n3977 7349\n8911 15595\n11564 12652\n12545 14752\n86 1923\n8602 15309\n11538 13694\n264 4614\n7208 7349\n4284 13798\n13292 13829\n4790 11479\n9428 13219\n4315 6798\n5852 11053\n4380 13089\n9603 12164\n6975 11951\n4427 8839\n517 3720\n225 7165\n1529 12361\n1068 8845\n4771 15125\n3336 9124\n3240 7843\n1823 11833\n1302 13317\n4229 4677\n7564 10064\n5634 6532\n12735 13798\n363 9730\n1663 7358\n9156 12355\n1359 8061\n4035 14961\n7603 13757\n8515 10764\n11475 11683\n3441 5078\n1135 3121\n12276 13536\n5755 14445\n4851 12201\n446 4764\n2072 10143\n4211 14965\n911 13842\n10108 14825\n6464 11040\n4323 7052\n62 3936\n3625 8700\n633 5913\n6829 11444\n9016 13964\n3818 14425\n8137 12693\n3292 5226\n3063 15619\n5457 14364\n24 9113\n7049 10420\n12070 12774\n2361 9671\n1868 14309\n8816 10652\n1431 4521\n4104 9352\n5336 9831\n1421 5679\n54 11574\n4934 12801\n3189 8449\n4035 5568\n2529 14372\n9987 10315\n1635 1895\n3539 6409\n540 622\n9560 11956\n5628 6972\n34 5227\n502 3482\n5623 13746\n10135 11322\n9659 14514\n1845 14116\n9226 13735\n5395 11987\n413 13832\n11371 13168\n5155 14523\n8214 13995\n422 3328\n9580 13560\n5209 9560\n2649 12803\n2496 7592\n7429 14921\n3485 9772\n8279 13868\n6211 10404\n4599 6684\n7831 11140\n4854 10227\n1230 8537\n12227 15602\n2101 6633\n4417 5482\n6368 11365\n1869 10255\n11766 12963\n5874 9624\n10647 13423\n983 1859\n4571 12694\n7020 12456\n2180 6927\n11344 14103\n8823 10695\n5386 13754\n10033 13674\n1659 10769\n904 6303\n388 810\n3551 11185\n7638 11382\n3633 5443\n2947 13044\n13992 15614\n5615 15341\n10167 11384\n10235 11790\n1219 2217\n10407 14655\n3662 9076\n5021 12543\n5867 14116\n7266 12628\n5517 12486\n7444 12259\n10463 13484\n10291 10924\n6874 10283\n5076 9073\n6180 15095\n1781 14306\n773 2589\n5693 11008\n1316 6906\n6067 9382\n5808 11604\n975 15221\n6879 14209\n9758 11914\n1968 10575\n13262 14471\n6876 8771\n203 8330\n5297 8123\n7223 7234\n10925 12534\n3065 10571\n7418 8327\n4353 11423\n10284 11889\n4957 8348\n6604 13367\n5031 14272\n2953 9060\n13213 15415\n8230 9599\n11103 13406\n6130 9929\n5108 6042\n7404 12083\n2555 8561\n9401 9992\n5064 11962\n3117 6423\n9297 15323\n4884 12707\n12489 13214\n10716 14325\n15038 15575\n13511 15424\n3351 4316\n5279 7238\n11709 13951\n6091 7144\n6899 6930\n7456 15491\n3327 13857\n10678 11075\n4000 11618\n10025 15074\n10258 11359\n736 10770\n3891 12267\n12802 14257\n6998 11330\n2045 2903\n4985 13811\n3775 14507\n1672 8429\n1001 9904\n7412 8767\n2056 12545\n1775 3907\n6567 11677\n12019 13780\n4046 15211\n12031 14602\n3294 3944\n33 5426\n4574 8703\n6522 10855\n1148 13023\n12686 13230\n4872 10993\n3872 14960\n538 14216\n146 12181\n9761 12766\n7649 8773\n2405 2596\n2508 3059\n11562 15108\n9437 14371\n932 13475\n3792 4872\n6008 7591\n12254 13445\n7146 8623\n1218 13849\n6800 12539\n721 5441\n5369 7755\n8329 14286\n322 1541\n4155 8529\n5205 6526\n6730 14535\n12293 13034\n3136 12551\n2382 11324\n8735 10342\n5322 5829\n6602 7197\n1887 10823\n9416 10665\n8891 9232\n6371 14726\n13638 14170\n501 9411\n9093 11830\n8172 10770\n8692 11262\n4193 11611\n5694 7282\n1186 6990\n1937 10052\n2516 6796\n470 1536\n9198 15382\n2166 6108\n4730 10474\n5372 15116\n917 13289\n11008 11932\n5800 8843\n11102 14155\n6683 11767\n8961 10236\n10631 13483\n793 8239\n3796 13288\n2611 5492\n5725 8789\n5279 7984\n7320 14161\n367 15018\n1533 1746\n9715 12363\n10685 12144\n1687 14255\n1450 12373\n3322 10759\n14926 15392\n2777 8176\n12739 15483\n5427 11403\n13089 15216\n12288 14271\n1572 1656\n2393 10358\n7091 10384\n1800 9056\n5006 11316\n5178 11575\n2542 9775\n12157 14748\n8343 9497\n410 3278\n5772 8835\n2463 3065\n2859 14659\n3291 9244\n9491 11196\n6829 11193\n9680 12228\n1034 13888\n13612 14608\n3687 10235\n21 7659\n1949 9319\n3521 4522\n1713 11096\n3914 12990\n879 14660\n1383 1790\n8038 13966\n2381 9878\n989 14227\n683 15589\n3298 6216\n1971 11936\n7665 11897\n4686 10554\n13513 14241\n8965 14510\n5791 15214\n3870 4653\n11010 11973\n858 4119\n1050 10401\n2019 3539\n5664 14374\n3332 3816\n2898 3861\n8030 11865\n4692 6725\n5037 6173\n9053 11512\n14740 15407\n3641 15613\n9995 13104\n8084 11397\n503 10444\n10795 11765\n4662 7341\n3960 4590\n2414 12003\n6350 6712\n3894 6849\n2604 13029\n9531 12648\n1042 13280\n4484 14941\n3014 8609\n11966 14127\n3220 13661\n9362 14567\n14938 15327\n48 5222\n6444 9215\n5883 5992\n125 9306\n3782 12635\n7225 11431\n614 729\n2470 11696\n12626 14946\n3019 6478\n1868 2842\n3900 8903\n2215 13631\n8919 10513\n10760 12231\n12656 13855\n729 5232\n8265 8824\n2459 4287\n5844 14199\n987 1245\n1038 12054\n1104 3276\n8044 12758\n1312 4751\n12459 14461\n5274 9699\n2318 13722\n3569 7304\n12761 13876\n6343 11435\n2712 4900\n6290 15376\n7414 11666\n8650 10025\n5446 6128\n6029 11514\n317 5992\n834 2520\n4833 14562\n323 14913\n11568 15432\n2441 5920\n6517 10342\n2915 6549\n1359 15467\n2451 12918\n8410 10395\n1227 4064\n8944 12126\n1673 8369\n2857 11231\n2266 11550\n4290 4666\n177 4073\n6006 13943\n5139 6711\n1998 14910\n7089 12875\n10305 12593\n4304 7637\n2776 11013\n2650 4233\n6945 13164\n2297 7919\n10172 10715\n7702 8953\n7895 8855\n11003 14603\n33 10157\n354 8453\n3038 11541\n4125 9943\n7069 13682\n10731 13342\n12678 13139\n1179 3011\n1395 1976\n3530 13511\n7524 11474\n1501 9663\n6908 11112\n7629 14766\n7299 9652\n931 5207\n4486 8489\n3600 9166\n8031 9734\n1873 5343\n6944 13913\n1978 8811\n8298 12606\n10229 13559\n18 3056\n1383 4621\n3633 9144\n10834 15575\n11282 12438\n8722 11668\n14450 15096\n5722 12590\n4477 7629\n14478 14527\n13196 13360\n8546 13348\n2253 6471\n8284 11945\n9622 10198\n3334 5596\n3760 14427\n4345 13048\n13593 13626\n2799 8180\n3897 9030\n7374 11736\n5731 11384\n251 12917\n3003 14284\n2065 6200\n10070 13213\n2623 9084\n4622 7583\n8178 9534\n6290 12762\n2093 10810\n12994 13457\n1702 6098\n10568 13240\n2012 14442\n128 5169\n848 10205\n4848 8095\n2988 9715\n1849 3364\n4039 14792\n3192 15100\n2098 10897\n5776 8001\n2386 7642\n2844 14039\n37 2928\n4304 10265\n7826 14050\n2947 11676\n7041 11892\n6436 9522\n8942 13523\n3654 8256\n3325 11985\n8380 11779\n2311 5689\n3865 4512\n5339 10507\n1055 9650\n3699 13467\n7968 15040\n8540 11392\n3609 7623\n14464 15626\n3445 12673\n7115 10202\n7295 12848\n3181 14924\n1409 12393\n83 11510\n1611 3155\n2337 13389\n2342 11668\n3267 11419\n305 1978\n1405 8256\n4626 8330\n3816 12949\n3641 5338\n5012 11540\n4111 7075\n2799 12501\n7893 15337\n4357 10960\n190 3766\n1754 10455\n8830 10410\n8426 12752\n662 15044\n11383 15523\n1506 8211\n13239 15443\n7259 13978\n919 7863\n1364 4564\n2279 6316\n4584 5382\n6810 9008\n6447 15356\n2329 5413\n6461 8007\n2664 4778\n348 4128\n2495 9901\n6650 9943\n4497 10526\n6727 8283\n2394 15229\n557 14415\n2167 2801\n7495 8082\n830 2136\n8475 9131\n3264 7187\n4211 5004\n4326 6777\n7025 7598\n3295 15012\n3875 12920\n5384 6034\n8118 10598\n114 1100\n7953 7993\n6470 9976\n1307 10910\n6815 13015\n9110 15291\n13187 15079\n3829 5872\n2975 14532\n4314 12858\n1796 10362\n5170 10095\n8716 11063\n3733 9395\n4250 13403\n678 11023\n4812 14696\n277 8339\n2603 10532\n8555 10759\n955 9054\n1411 7261\n3103 11887\n6513 11594\n6486 14349\n1333 6562\n547 7117\n2816 3919\n13487 15048\n11398 14214\n877 9970\n1334 8168\n13757 15267\n6329 14080\n2173 11199\n5272 5332\n176 11929\n6325 11268\n8298 11518\n469 9538\n3565 13138\n1068 15118\n852 6869\n2170 4701\n1884 13350\n5688 7767\n3460 11456\n7461 9966\n9578 11916\n6216 14083\n5204 14088\n1934 10664\n7427 15455\n1775 10135\n2675 14752\n5455 11999\n8918 15166\n11484 13015\n8168 10506\n4695 6929\n716 7510\n7853 12668\n8069 8623\n6971 8696\n5487 10131\n1771 13386\n7826 8646\n2333 11688\n7673 8190\n6123 14660\n3448 11697\n1572 12438\n3902 5796\n3365 12105\n10137 14093\n11482 15322\n870 2240\n12327 15287\n112 10408\n1006 1214\n8319 12652\n10405 10697\n3317 10633\n8427 12447\n4892 11441\n4406 14925\n2966 9675\n1753 10634\n2404 14959\n708 13448\n4117 10561\n12125 14624\n6625 13776\n1279 8244\n7906 10140\n5189 10747\n369 7916\n8151 12200\n1846 14723\n3827 3984\n7694 11258\n3976 14261\n6603 12468\n13182 15396\n3301 4109\n3715 4741\n836 9752\n9588 12248\n6984 7754\n7197 14106\n13549 15429\n1194 2763\n9808 14527\n12160 14376\n11000 11226\n5457 13086\n4960 9471\n2071 4831\n3675 9512\n596 1303\n10869 12146\n5017 8571\n6934 8275\n5946 8573\n4161 12948\n6397 13094\n3275 15359\n9491 13919\n10416 10719\n3154 10414\n980 1666\n650 11682\n1762 12282\n2205 3672\n11966 13668\n494 3475\n6789 15120\n979 13015\n4990 6378\n4695 7224\n8381 9048\n9090 11852\n2829 13434\n8196 10458\n665 15353\n2192 2234\n6991 7108\n4187 14118\n3915 6539\n3867 7627\n784 941\n6041 15147\n2960 8404\n8539 14735\n10058 12445\n1641 12966\n8551 9211\n1638 12352\n7470 12858\n3576 13413\n178 6457\n4931 12606\n5319 14030\n3817 4077\n13099 14597\n13199 13451\n1957 4033\n72 8609\n5583 10370\n6267 7367\n1357 3368\n3181 5322\n2541 14420\n171 5773\n510 10509\n12145 14899\n7698 13194\n4983 14431\n4622 14133\n2956 13896\n2168 3294\n4518 14733\n2032 5782\n8430 10913\n2630 6663\n2966 14794\n4597 7872\n8509 12736\n521 11912\n539 1225\n5823 7111\n6350 7386\n10873 11532\n3048 6628\n1230 7635\n3457 5903\n4943 11696\n12920 12964\n218 8295\n3698 8570\n6190 14692\n9798 12800\n13565 14788\n5835 11147\n719 10299\n14949 15619\n614 1550\n11071 11954\n3011 6592\n7849 12842\n2468 14096\n8474 9048\n7957 13575\n4363 9294\n1051 13359\n638 9773\n4602 6754\n1164 11090\n1353 10271\n10949 13435\n5626 12511\n11297 13986\n4560 8442\n447 12390\n7402 10077\n2693 10176\n11098 13115\n5137 14185\n9002 14118\n3297 8200\n7535 12242\n5573 8212\n7434 11848\n4714 7943\n1888 8119\n4638 11248\n6948 14076\n3169 6543\n22 2833\n290 12736\n14175 15278\n6975 13102\n1586 10585\n8112 14958\n762 8576\n3408 5245\n5327 13166\n12001 14866\n1873 11588\n2577 7116\n6295 8967\n1890 11706\n7299 11749\n8754 14457\n74 5061\n3187 6551\n7455 15366\n7240 11943\n6560 12811\n1436 11497\n10924 14483\n10510 11982\n7977 9534\n77 8463\n2139 2191\n13939 15310\n12130 14405\n7130 11397\n5107 13157\n3905 6040\n9252 10686\n13528 13578\n1965 5121\n3987 5582\n2967 8597\n170 1642\n2181 8897\n8013 10788\n6687 7206\n11273 12589\n4690 15368\n5707 13917\n5529 12214\n5884 8664\n8469 15541\n9372 12115\n7065 13773\n2801 10091\n1893 15597\n12136 15179\n13173 15562\n4961 10837\n7611 8672\n1799 7916\n8231 13053\n2059 5512\n13265 15496\n2730 14229\n1866 10703\n1342 13594\n1139 12025\n4778 9796\n893 13792\n4138 9475\n4309 5492\n2303 13330\n6962 7764\n1348 9775\n9016 10051\n959 2332\n6529 10111\n3696 8809\n1753 11628\n4656 14161\n1022 7267\n2636 5081\n1682 10408\n7611 9397\n7903 15536\n3904 10505\n6294 14207\n3927 5919\n7238 10457\n3581 8397\n2395 6726\n1533 3573\n11092 14421\n7724 15551\n14506 14747\n1890 14570\n30 12732\n3862 11478\n4969 8239\n4722 5304\n3132 4906\n4450 14793\n5398 15497\n523 3924\n3428 7707\n297 1202\n1567 12747\n4529 6446\n11856 14835\n500 4051\n14205 15513\n11296 15258\n283 2285\n681 13879\n2655 10601\n6128 12117\n12723 14868\n8623 13227\n1180 5321\n1459 5807\n7253 8771\n3937 14275\n7104 9779\n3527 4738\n552 14499\n924 5008\n6864 11004\n3453 10247\n550 2346\n6688 12756\n10562 13130\n2233 12655\n5458 14726\n3677 15192\n4624 15120\n5987 9536\n10733 12810\n10267 13685\n5174 15014\n5361 14724\n10478 14469\n7471 14679\n3643 11687\n2096 6531\n2710 3717\n1586 5697\n2224 12354\n5163 10820\n7705 13010\n5132 10723\n9894 15525\n9962 10775\n11427 14033\n8011 11521\n1456 13910\n9836 14027\n5542 11948\n3632 10886\n10008 12097\n745 13837\n12857 14408\n1571 10355\n5822 15297\n8044 8612\n3927 10565\n908 8430\n3986 11749\n6201 6209\n6767 13123\n8138 14723\n5088 13005\n430 11908\n5506 9178\n4441 5158\n1408 9521\n5542 9794\n2454 5909\n4089 6352\n871 3906\n12131 12810\n7877 9689\n2979 13473\n12438 13401\n10114 14734\n11215 13984\n11124 13571\n2287 10894\n1075 1445\n2724 10499\n2373 11384\n13788 14748\n10184 14980\n8142 15028\n4559 14442\n2193 5983\n8199 11486\n5745 12647\n14114 15490\n11228 13486\n10191 10654\n2416 13856\n7056 7219\n4821 12999\n5795 6490\n8555 11684\n3383 4827\n5468 11022\n644 7858\n429 8945\n8345 14684\n5038 6276\n2153 12767\n11471 15642\n4427 4962\n1535 13536\n5324 13040\n238 13009\n1625 9208\n5084 10034\n2116 4775\n1059 4947\n1556 14260\n2441 12615\n1012 13528\n9184 10930\n2310 12242\n1728 5195\n10349 12087\n5115 7546\n1265 7457\n1517 7966\n1613 9850\n307 10872\n10117 10986\n1430 4857\n9481 10639\n929 9219\n6567 10016\n5275 15592\n3800 14141\n12870 15179\n6336 12444\n6026 6240\n5347 12289\n7678 14820\n6733 13416\n4929 12910\n8430 15495\n2791 13416\n3394 11656\n5386 6264\n13380 14470\n947 8407\n9146 10914\n7823 11689\n10323 10646\n5832 14798\n133 11358\n15002 15444\n7914 12700\n7542 13192\n10978 14887\n5069 11089\n1297 9802\n7996 14090\n398 15171\n1229 14346\n12452 15191\n10155 10606\n9031 9191\n8969 13426\n8874 14061\n5085 10062\n2491 2516\n2253 10538\n2293 8881\n8030 11359\n1521 13341\n8349 12904\n5672 7313\n490 3853\n7807 10078\n11615 15004\n10254 13461\n2097 5088\n8359 13716\n3099 13548\n4368 5353\n13255 15146\n419 2995\n4560 15408\n5838 14814\n11568 14451\n10225 14266\n12455 14227\n5860 8796\n8065 15233\n3554 10138\n6922 12353\n8223 14036\n1681 3304\n7543 12270\n5266 12803\n2443 11781\n8996 9264\n8677 11898\n8305 13899\n3139 3988\n7502 10897\n3653 5390\n1108 6058\n2456 3756\n15122 15475\n4454 9853\n1136 15392\n8412 12124\n2998 6093\n7047 10120\n3556 14110\n2018 14299\n9964 11133\n6414 11428\n4707 5502\n2709 7429\n3695 11169\n3834 10409\n5204 14858\n6436 11578\n9640 11998\n765 13502\n4475 11479\n3693 12858\n5609 8860\n1310 2944\n11038 15367\n9949 15248\n8149 8622\n2315 2520\n9981 14389\n8137 12685\n5331 14265\n1089 8292\n4650 8424\n2583 13405\n3397 12513\n6078 13336\n2126 3446\n4432 14740\n3068 6106\n7017 13560\n5486 6109\n4624 12449\n2369 13430\n7251 8247\n2252 2750\n4123 12511\n3462 14446\n3790 5588\n12620 13729\n178 5694\n6295 8765\n10404 13492\n7605 13070\n7098 9296\n2490 14527\n10612 12938\n10014 12414\n3898 5865\n4524 5423\n307 8439\n7268 7675\n7140 12872\n4457 15175\n1499 10738\n11497 13405\n5171 5331\n3623 10961\n1181 5339\n6990 9842\n2712 3401\n73 14695\n11135 12608\n4856 7547\n37 7793\n5740 8443\n9242 11578\n8194 13927\n1821 6488\n2543 3275\n2587 5290\n7514 12851\n9751 10937\n3475 8225\n3042 7880\n6091 6533\n5371 10420\n3139 11737\n819 1084\n1678 14350\n6504 14128\n8550 10636\n8294 8853\n272 13035\n3344 10894\n794 13085\n8364 13955\n5866 6929\n13966 14687\n968 8619\n5325 13010\n1472 6913\n1935 4719\n4758 7567\n1961 6979\n6840 9907\n3442 6711\n5739 6752\n119 9613\n895 11639\n4737 5035\n11244 12765\n2200 5171\n1783 9286\n6600 13270\n6140 10051\n10628 13455\n6633 7276\n9228 14532\n4533 13668\n13318 14064\n2227 9236\n1036 13304\n5114 9715\n1194 11871\n10201 12646\n5238 12838\n2336 11444\n8584 10706\n12156 13643\n1587 3311\n2689 14421\n284 10299\n12344 12462\n2295 8279\n8815 9922\n458 2052\n2685 5755\n6157 12029\n4825 7599\n2357 4861\n1548 10418\n7003 14061\n4705 14362\n2923 4352\n3204 7324\n7447 14807\n11017 12790\n5235 9581\n7458 12071\n1383 7462\n2565 10025\n8247 9148\n3943 14012\n1116 5697\n1843 3938\n3050 5001\n7081 11189\n12810 13793\n15212 15419\n6826 7720\n9893 12591\n4002 10639\n6772 14993\n14249 15497\n4546 7724\n10315 13581\n9846 15229\n7390 10268\n1395 3599\n9395 12897\n11481 14400\n1948 5060\n9425 11896\n2147 12863\n7802 10521\n7483 13177\n4167 10749\n7523 8402\n6904 10428\n10091 13427\n11040 12354\n1867 9399\n7399 14690\n3709 10721\n7733 11588\n9111 14671\n5206 11481\n1670 10873\n1022 12150\n13143 13979\n12892 14856\n10859 11701\n8779 15110\n2239 14984\n5134 5767\n14219 14706\n462 9997\n3230 13158\n4005 7569\n12652 13537\n6174 8083\n637 1133\n6373 10779\n7218 15068\n9790 10169\n14691 15379\n6530 9766\n4369 4868\n1356 14982\n3833 13536\n483 9919\n8142 13769\n6698 11889\n11477 15482\n5790 7492\n9940 15487\n2913 11804\n1318 13096\n12143 13353\n5747 9373\n4219 12267\n13605 13975\n3380 10598\n4899 13534\n1564 14098\n6127 9647\n14060 15644\n436 10340\n8255 10190\n2106 9111\n4006 12006\n8287 14557\n5261 13200\n13396 13556\n948 10914\n11530 14902\n775 8178\n5667 15630\n6125 6309\n3969 12890\n4331 11386\n3903 9084\n1954 4548\n4857 11698\n3103 9461\n5297 13181\n11577 13682\n4345 11391\n366 12792\n5610 7248\n3491 6466\n2354 13750\n6104 7413\n998 2141\n7231 13037\n2439 4827\n3822 15615\n6786 7348\n18 14379\n3770 11401\n8809 15167\n3987 7401\n5377 14877\n388 2288\n9328 9374\n1916 14929\n1998 6612\n10486 14786\n7295 14244\n5270 8906\n4972 14724\n3891 7378\n1249 13072\n3948 10157\n222 14979\n5320 13548\n2929 10651\n2502 6182\n10408 14505\n7087 10342\n510 11397\n9813 15143\n6983 7660\n1194 1256\n10273 14989\n419 12418\n9233 12054\n10324 10384\n6383 15153\n57 15014\n11298 13266\n972 10769\n12504 13016\n2895 5378\n4512 5993\n2273 5952\n10014 14264\n10852 11956\n3821 9634\n9771 12017\n9924 11326\n869 14565\n718 8654\n74 6104\n4174 6978\n6912 11778\n801 13415\n1475 15296\n4405 7739\n7376 10418\n6156 6885\n4954 7593\n1109 5280\n6284 7669\n5903 10035\n11148 15379\n12908 14067\n313 10435\n7998 14443\n8229 8768\n1188 9228\n1463 1560\n284 8254\n1052 12624\n13074 14298\n1691 9005\n411 12575\n10958 13562\n7227 11246\n145 6755\n5162 13522\n1504 10048\n12526 15458\n2712 11032\n12090 13870\n4059 13582\n5014 13523\n4678 7337\n1218 8985\n7333 7630\n10287 14563\n9363 13478\n2738 15366\n5501 6208\n4707 9194\n1984 11728\n4281 13489\n1666 9932\n831 3107\n6481 6745\n7142 10585\n7692 12794\n2721 7327\n8822 12500\n4539 10786\n967 4692\n4619 8428\n3508 15362\n9051 13176\n2816 7668\n3379 15396\n3590 8272\n1560 6206\n108 11370\n194 5120\n10593 13514\n3457 14935\n3407 14427\n3697 4808\n9135 11993\n4928 13818\n2535 7181\n13377 14664\n7689 15503\n10203 11668\n13960 14922\n6776 9966\n1442 13669\n1138 9529\n5047 14820\n10329 11111\n5099 13933\n458 7603\n3027 14071\n8749 10092\n2622 15116\n4517 13552\n3253 8430\n6093 12921\n2678 10491\n2717 5787\n10431 10712\n8174 11675\n131 5260\n1839 6277\n411 11640\n11219 14773\n747 1119\n2695 12012\n483 8387\n2 4476\n9362 11291\n3301 5372\n3395 11264\n4604 13613\n878 9543\n3266 13528\n2427 12817\n7174 8592\n8882 14241\n6453 10240\n2559 8203\n8532 10093\n8843 11966\n3344 5231\n2728 8376\n4086 11175\n8072 13433\n2707 8179\n11506 13345\n9766 12938\n2608 8503\n3079 14990\n12618 13415\n6204 9533\n4841 14011\n12066 14340\n5838 6273\n11489 13591\n6203 11786\n9953 12898\n6849 14071\n2649 2742\n3600 8686\n2187 4842\n949 5776\n4859 12152\n13871 14199\n633 4367\n3686 5443\n1636 8981\n5163 14657\n2808 14881\n3012 11196\n919 9609\n2919 7777\n11297 13562\n1214 8139\n9849 10449\n9051 10479\n5670 12306\n7900 13705\n8975 14947\n13189 15188\n6436 8250\n9637 13056\n5509 9513\n2596 7393\n346 10609\n1924 6092\n4503 8156\n4607 6698\n8609 15412\n2641 9370\n457 7767\n5155 5253\n6483 10258\n253 3339\n12048 14625\n3089 8521\n13922 14901\n1924 10052\n10204 15628\n2416 4468\n11587 14435\n9190 14715\n4882 6926\n4296 10363\n1350 6432\n11014 12860\n1193 14747\n808 15317\n1943 7847\n8362 8758\n15093 15576\n1633 15338\n3768 15398\n4503 12669\n8028 10302\n1958 6980\n2047 7088\n7147 11606\n7216 15191\n599 4765\n4871 14297\n13977 14543\n10555 12461\n4884 8052\n1547 13519\n8048 14906\n757 9977\n3463 15569\n1618 8649\n5764 15507\n12412 15504\n999 9654\n9410 14052\n12603 12742\n6339 8308\n13618 14669\n4067 8736\n5595 6025\n4064 14798\n3728 6815\n3480 11314\n7605 10280\n1082 12712\n1682 2544\n5063 14276\n566 13547\n1349 3635\n12295 14576\n293 6850\n4363 15658\n7255 7638\n2522 14407\n475 5425\n7847 8862\n1705 11047\n7384 10849\n3351 6522\n1748 3606\n109 3588\n6042 14929\n9 8005\n5082 11509\n1775 15260\n8327 14067\n2544 5883\n722 13946\n4990 7366\n6953 15604\n6548 11991\n3227 6018\n9094 13550\n11253 14663\n2971 7580\n1076 14174\n2123 7528\n3065 9015\n10716 11781\n2889 3699\n14219 15267\n2981 4221\n267 5594\n7299 15588\n1370 11621\n3129 3235\n4267 7554\n3361 9228\n14859 14891\n6299 8032\n3398 13659\n886 12704\n2995 4202\n8560 10630\n4077 13824\n5914 12227\n3237 9630\n9360 10419\n4932 11753\n5514 10161\n4453 12049\n2510 11600\n1731 11211\n3119 4223\n2326 3035\n11769 13016\n4030 9173\n1988 14680\n1987 15542\n4413 10083\n5722 13894\n2319 2493\n12511 15562\n498 7271\n1364 10680\n13567 14597\n12912 14788\n866 12376\n3626 6995\n4136 14569\n6282 11851\n3752 12074\n10563 13972\n1306 1606\n9451 14466\n1818 4479\n9595 13086\n564 8781\n4567 9898\n3673 14233\n11380 13468\n7727 13771\n529 8687\n4667 8306\n13127 14248\n1542 13756\n2663 13441\n4952 8046\n6419 7174\n4303 8048\n6970 13526\n3488 10921\n3805 13976\n7572 8255\n11340 13469\n4052 8912\n2672 15187\n6395 6915\n5555 9962\n6263 9532\n215 2519\n2652 12868\n15 5328\n999 13460\n1537 15215\n6180 8275\n7841 15184\n11309 13231\n5734 9598\n11934 14885\n1143 15581\n6171 15319\n14206 14512\n7346 11814\n9042 11993\n292 4288\n7855 9784\n10987 14676\n12573 14052\n1001 15407\n4534 11954\n2072 11115\n4216 11582\n2980 15165\n2682 12892\n612 5117\n1236 10703\n2885 11166\n5342 12962\n7981 13500\n1238 13385\n945 10406\n1080 7054\n10126 14792\n11124 12736\n2388 2909\n7077 10094\n3628 5821\n8246 13252\n3163 10620\n8327 14030\n6649 13956\n6372 7968\n10083 14079\n1387 1428\n1602 4425\n693 3375\n9481 12365\n13246 15403\n4596 8037\n5849 12830\n6700 12147\n4597 6268\n151 12522\n1361 12654\n3756 12879\n5204 5760\n6730 15237\n2908 6534\n3597 9933\n3339 7262\n2283 15362\n4426 14373\n8753 13428\n5125 14807\n10650 11323\n10887 14872\n2384 11646\n6307 9225\n4608 12609\n10576 15577\n3311 10804\n6908 13947\n7578 9535\n3104 13558\n5390 8882\n595 10140\n4149 8239\n3728 13436\n8498 10084\n8351 14595\n1541 15576\n5466 6940\n9728 12968\n1932 13083\n3632 4213\n7869 13446\n8987 15334\n11867 12047\n12438 12463\n2036 5093\n3309 15032\n2840 5130\n5651 13681\n6209 7678\n13654 15191\n1796 5396\n10439 14827\n2882 10069\n12172 14911\n5800 8664\n631 6298\n30 263\n8809 11453\n5848 7520\n7968 9431\n2852 6619\n5135 9067\n10801 13917\n9512 14136\n3582 10318\n2601 7974\n13821 14868\n10775 11653\n1593 13228\n4815 9607\n490 14475\n3010 9394\n3995 15444\n6548 15570\n2267 14815\n4163 6598\n3726 3813\n12824 14089\n10682 15300\n11017 13173\n5012 15349\n3730 15136\n8480 9528\n4976 14488\n1978 13351\n4161 14901\n5716 7620\n9484 13336\n5277 14101\n2980 11040\n2815 14388\n4553 9966\n10812 15508\n1196 2057\n845 13160\n740 6359\n9732 12444\n353 11816\n8670 12233\n3841 12476\n2060 6475\n3686 12994\n11005 13161\n360 14954\n4175 5909\n3006 7886\n184 10813\n5514 8258\n11955 15029\n2671 13783\n2329 9423\n773 3460\n3068 9401\n9489 13589\n248 10220\n706 11637\n5775 13083\n2754 4902\n5362 12324\n4277 5564\n7189 12576\n274 14927\n3983 11555\n6261 10102\n5182 14178\n2743 13794\n7088 8970\n3683 3933\n3003 15440\n8079 13857\n7214 9420\n9912 10478\n9256 13311\n8514 12130\n6073 7963\n317 3678\n3371 13872\n12311 12600\n5331 11094\n485 8722\n414 6160\n9020 9356\n3928 4404\n6823 7889\n7454 9957\n8198 13583\n6505 6679\n3681 15445\n9485 13760\n1918 3126\n2140 7327\n6532 12394\n1837 14453\n14880 15331\n7559 9466\n1407 4080\n1852 10450\n4710 14992\n6866 11995\n12037 14398\n12506 14003\n4209 14084\n594 9391\n8780 14519\n1875 8472\n3386 5453\n6934 9077\n6546 9665\n11427 11986\n298 14868\n594 11073\n11883 13738\n5677 7377\n2431 9869\n6939 12323\n2143 7879\n1714 4265\n965 5818\n638 687\n6935 8300\n5607 13064\n3300 11216\n4865 8361\n8596 9298\n12967 14014\n1754 1799\n2599 8651\n189 6880\n5762 8078\n6047 7240\n12357 15426\n8430 14734\n6110 10378\n2241 3682\n6333 14017\n8428 15542\n8392 8943\n3706 12773\n2831 13317\n4043 15159\n1525 11165\n3709 6894\n1704 7782\n9248 13578\n4109 13747\n1756 9331\n10143 11833\n10995 12198\n3699 7313\n7585 12399\n7972 12906\n6103 11984\n11099 13241\n6299 10842\n4961 11401\n3072 6071\n3831 13805\n2230 5178\n10907 14040\n4095 14311\n470 7827\n1115 3811\n907 9496\n7630 10737\n2306 3305\n3775 6105\n9190 14284\n4221 11376\n2786 8863\n6820 15334\n136 3999\n4177 7601\n377 2603\n434 9735\n5758 13116\n1111 8353\n1970 12766\n4586 6808\n5679 8318\n2934 6419\n3729 12559\n6403 14411\n7880 15586\n3095 12308\n144 5229\n6317 15355\n4239 8452\n8357 14124\n2694 7425\n6897 8267\n4263 13058\n1565 10937\n9159 11512\n4506 6377\n1792 13152\n721 4537\n10218 10453\n7162 8151\n2352 6284\n1310 9163\n4029 5249\n895 14342\n1490 11348\n14437 15424\n1703 10283\n6144 13849\n1329 11263\n4502 12229\n7306 9969\n10283 12790\n2983 7661\n8024 14903\n6511 15509\n1366 14999\n3369 11868\n4880 4957\n7847 8150\n6993 10051\n7179 15080\n10033 13818\n5459 13456\n861 2831\n3328 8564\n11187 13601\n6950 10343\n205 2058\n1699 7403\n3342 12308\n2359 15310\n11632 13599\n7452 9733\n5184 11245\n1201 9334\n3966 14983\n9702 15339\n3140 7904\n10531 11592\n2676 3121\n3041 10163\n1708 15626\n799 10594\n5176 6626\n6846 9034\n10971 14789\n11026 14953\n2409 10990\n2656 3987\n4585 5827\n11552 15578\n1645 14188\n1478 14716\n7232 14775\n863 8238\n1772 10126\n10322 13096\n3105 8735\n5721 10569\n7991 8012\n3871 10465\n2946 10184\n409 13202\n9831 12509\n3344 14049\n2909 13848\n2047 12483\n2352 5022\n3917 8225\n1268 4469\n11431 14424\n5724 8051\n4358 6421\n484 3290\n10756 12757\n2516 6802\n3626 15482\n428 15622\n3099 5442\n3782 15138\n662 8574\n2963 4866\n5853 13584\n1729 12000\n2155 10891\n5435 10878\n9326 12269\n968 14992\n974 4109\n4131 13507\n1298 12693\n1867 10269\n1082 10156\n4381 13219\n10308 10864\n10678 11735\n3317 7473\n6382 15396\n8412 11663\n3258 14753\n7121 13888\n11944 12277\n7480 14007\n10546 11744\n921 3795\n1582 5795\n8097 15021\n14205 15533\n3142 5327\n620 13397\n1655 14968\n2561 13527\n8208 12780\n450 7958\n2999 9650\n4076 8298\n11668 15543\n10565 14316\n1765 14419\n3359 4259\n3238 11056\n15039 15047\n6880 10650\n1259 2688\n2172 9441\n4106 13092\n882 3090\n12475 13728\n1097 12512\n10009 14665\n1540 10640\n1078 7076\n13710 14398\n1922 2789\n6106 11299\n11661 13637\n3009 6992\n6278 7606\n893 10186\n7972 10303\n495 10791\n7073 12924\n1808 3038\n9376 12780\n3918 6175\n989 8875\n6118 14399\n3598 12074\n1587 13096\n3713 15651\n5377 11660\n11802 13825\n657 2468\n1268 10558\n9621 14219\n2256 10466\n2651 6232\n12140 14073\n4597 12289\n455 1476\n3260 8591\n907 3315\n919 6226\n5993 10481\n3860 7452\n3422 6282\n7557 14739\n5388 13992\n3815 4784\n9953 11577\n3970 5942\n1138 13568\n2327 14520\n7581 14785\n12543 12721\n8450 14653\n7498 12493\n1767 5625\n14530 14756\n10944 13235\n3090 12194\n4443 4446\n4856 5166\n3832 6210\n214 2844\n2246 15209\n119 11859\n4610 10831\n5218 12137\n4928 13964\n1943 13488\n3519 7552\n3236 15414\n9749 14171\n2007 2218\n8823 10479\n7892 15453\n157 5604\n9764 14556\n2580 7408\n4063 10857\n3234 3970\n9855 13147\n469 1434\n1894 12275\n265 15005\n1172 6553\n793 6126\n8915 11458\n4252 12481\n821 10576\n4102 10980\n526 13621\n1751 6719\n482 15093\n3548 13087\n861 10813\n10623 14152\n4962 6898\n12627 14205\n5140 11548\n6362 6415\n6153 14942\n4395 15054\n2511 4711\n2679 13927\n14714 15129\n1750 7493\n2480 9497\n2023 12702\n2361 13422\n667 14510\n5644 7775\n2286 10151\n3719 8970\n8429 10234\n1281 2779\n2103 5482\n9500 11705\n3615 13024\n15042 15605\n4123 8802\n5403 6374\n7213 7812\n10365 14201\n4437 6883\n1829 15517\n783 8816\n2861 10367\n4555 10399\n3559 14692\n3493 3701\n11896 12012\n6417 10761\n7626 13067\n8559 13314\n10041 12377\n12782 13822\n2880 13217\n4052 14034\n8591 14564\n9517 9728\n9127 15412\n1964 14095\n2191 7771\n574 6270\n11139 12450\n11572 13968\n11760 15288\n8518 9488\n2676 7873\n473 10874\n4140 9373\n4178 8930\n8939 13858\n3774 15631\n1388 13597\n8082 12973\n1840 7920\n4854 9593\n4864 8751\n1391 13119\n8986 11111\n14120 14170\n7311 7918\n4567 14541\n6819 11956\n8960 11090\n4239 13864\n1704 9624\n6882 12499\n418 12580\n6945 8249\n11702 14896\n1403 8390\n4677 13269\n2854 11208\n913 3148\n4673 14065\n13528 14319\n8847 14465\n5654 6167\n11070 14402\n4272 12915\n1206 6357\n7620 7816\n4241 6635\n4607 12415\n2928 5308\n15009 15043\n3352 7091\n1159 9980\n5090 10458\n1924 9590\n12823 14214\n10521 14374\n6620 7453\n6272 10180\n7981 8242\n10965 13350\n8807 14069\n13763 13845\n10100 11018\n1396 3340\n10545 11234\n1098 9907\n5631 14665\n1230 8329\n1453 9692\n231 11278\n3697 4559\n4363 13688\n4456 6515\n292 8024\n14354 14677\n1158 5160\n2903 14445\n2890 9952\n12223 14183\n8035 13236\n5924 8324\n293 14161\n11175 11204\n13449 13934\n7585 13069\n14905 15567\n12870 14300\n6104 11331\n5225 13182\n6397 10184\n1044 2169\n824 7463\n1526 4801\n6279 6671\n1000 5918\n10893 15217\n3464 5169\n12400 12628\n3466 4260\n1788 15049\n1056 5323\n8251 12771\n641 14282\n126 15022\n2861 8788\n4126 9765\n1094 3180\n5105 14452\n193 5457\n8297 10599\n6005 9639\n6358 7492\n11284 11821\n12237 13229\n7857 9707\n6067 14293\n3370 4478\n4742 10067\n6652 9091\n3375 15618\n8768 11062\n200 7366\n4676 12827\n11874 14926\n4229 4447\n4872 13463\n10472 12345\n723 14365\n10297 12887\n10516 13209\n3738 7839\n4252 12701\n4283 14425\n7908 8965\n11485 13533\n12967 15197\n5974 9873\n5726 6210\n4540 8749\n4392 4887\n3391 12596\n7311 10533\n9415 11435\n12391 14896\n2695 5935\n902 10189\n3364 9527\n629 4531\n224 4619\n3912 9702\n80 4795\n3123 6696\n1938 10919\n3125 15256\n5568 9231\n8400 9634\n2013 13341\n199 3296\n10555 14814\n9902 11232\n4937 14670\n2250 11325\n1180 1326\n6505 13412\n7326 12270\n7504 11165\n8017 13609\n4385 5377\n959 15657\n5932 13431\n3031 14071\n1734 3577\n8618 15208\n4943 8942\n9852 14434\n2436 3664\n4620 13841\n8556 11103\n4143 11447\n3599 5314\n73 15135\n7632 15614\n6124 12470\n9198 11811\n827 14246\n1314 11404\n8998 9503\n1070 5999\n12756 14952\n14684 14815\n1086 10932\n5501 12400\n3057 3351\n10175 11014\n1700 13639\n612 5538\n116 13733\n7293 8920\n11513 11993\n826 10941\n3579 13242\n6734 10531\n8214 10976\n79 8119\n8663 11169\n3177 9616\n8046 15596\n10593 12731\n12723 14075\n7000 13299\n5063 9857\n10060 11172\n55 10112\n5098 11101\n7960 13245\n4218 10271\n2113 2238\n7787 12899\n10928 14227\n3842 5186\n6003 13270\n7532 13185\n13024 15471\n8559 11206\n6895 10796\n1823 13361\n4936 10675\n4090 9237\n1882 2444\n5811 9006\n6374 7293\n5992 6898\n3609 7805\n10134 12624\n2237 8464\n9872 11838\n1685 12574\n8597 15519\n8709 14542\n3181 5506\n5693 10356\n5841 5911\n313 8201\n5329 14603\n3622 6933\n3122 6062\n11509 11805\n9970 10906\n2833 15655\n74 9374\n2346 6320\n2273 15407\n6740 11732\n4775 14358\n113 11697\n2615 14779\n2944 7720\n3109 14157\n28 14830\n1961 13821\n2260 6920\n327 11458\n555 5138\n4057 4198\n3485 14701\n8372 9324\n339 12155\n3696 4617\n251 4449\n9086 15462\n9860 10177\n8879 13638\n4110 14373\n8488 13820\n13075 14864\n1907 9190\n6104 14314\n2599 2695\n2889 12968\n6411 9925\n9547 14117\n14247 15521\n11145 12537\n3532 13531\n14720 14894\n208 574\n4985 9922\n2375 12107\n5866 6471\n3861 9077\n1651 14371\n12728 13585\n6306 8127\n2380 6340\n7617 12769\n13245 14010\n13539 13588\n4188 8558\n2705 9993\n5289 13362\n4486 13348\n11872 13932\n6127 10663\n1775 13421\n3077 7113\n12309 14234\n6147 12978\n10216 11196\n3782 8696\n114 8440\n349 6530\n5486 9330\n3593 9906\n2558 14255\n5150 7216\n3806 11705\n409 13361\n8548 9347\n1181 8141\n721 10404\n4446 10402\n8591 10564\n4203 6283\n12789 14688\n11183 15340\n486 8200\n14746 15310\n6372 10407\n4221 5497\n8695 11969\n3256 8419\n1264 6439\n731 13375\n9124 11266\n75 13923\n1292 15361\n1986 5323\n7142 15643\n6426 8283\n1856 7657\n6716 7650\n814 14482\n1523 14974\n8781 9550\n6296 8201\n7362 10185\n12798 13070\n3576 9964\n15268 15649\n7114 13163\n9627 10796\n7530 13694\n3930 11869\n5802 15606\n134 11882\n4460 7338\n4665 6159\n9792 12463\n1591 15475\n4129 14562\n7381 14996\n6394 8716\n12245 15113\n7328 7891\n2032 10190\n1297 7839\n12468 14907\n479 1635\n7563 12583\n4344 6251\n2448 14150\n10506 12579\n9980 15308\n3069 11226\n4431 7883\n2879 3350\n2368 4623\n8552 13684\n4239 7605\n1062 7566\n1198 6251\n8617 15399\n4266 13808\n10974 11245\n2362 14725\n8616 14189\n7189 11220\n2653 13576\n4482 5601\n1490 9146\n620 3484\n7990 8316\n3926 6697\n6129 7925\n8803 9043\n5463 14513\n3935 14985\n13243 14102\n5193 9870\n825 7007\n2188 4309\n1739 2576\n801 8706\n324 1020\n5206 12358\n3118 12100\n8681 9767\n3736 13723\n473 3046\n5292 7849\n7275 15394\n3633 13915\n3844 10744\n2740 13418\n4753 10554\n11407 14699\n12791 13464\n2852 10136\n6347 8236\n2070 14700\n3216 11769\n3214 3506\n4828 11704\n45 12789\n6603 14105\n7871 15379\n4761 10270\n1479 6001\n8224 13001\n2381 14494\n2833 11139\n12301 13803\n6998 14969\n459 10868\n1 205\n8221 9643\n1632 3871\n579 9019\n502 1763\n1604 8157\n479 14615\n4418 8076\n8248 11050\n3498 6577\n8349 15323\n3119 9456\n8634 10996\n9405 11868\n1412 2553\n449 8423\n8156 11225\n5332 7901\n130 1026\n2694 2704\n5016 13961\n9932 11600\n7436 14415\n962 14292\n1240 5302\n1700 10911\n7077 8629\n3775 13801\n4185 6101\n5002 11299\n3362 9175\n5986 9922\n6323 10630\n2795 15395\n10967 14871\n3033 7843\n11259 14217\n10102 10598\n10975 12196\n336 2174\n1610 1867\n6941 10265\n8387 12367\n8936 9320\n776 15451\n12921 15100\n2961 10800\n3743 9449\n52 11126\n5248 7123\n9152 11938\n9321 11509\n5987 9309\n6892 10475\n6191 15546\n1686 12124\n1160 13152\n8286 8917\n8406 15426\n1245 15052\n3042 4753\n9128 14260\n697 14929\n6851 12608\n9843 12636\n1806 15541\n3344 12141\n7923 8229\n38 13097\n4950 8554\n4380 8816\n14342 15642\n3539 8579\n2208 3115\n2622 10904\n2894 7662\n294 4911\n5461 15189\n4922 5727\n4361 7314\n4767 12804\n4092 4420\n4498 5050\n4788 13186\n2866 8350\n3923 6908\n4384 5845\n8182 15290\n1244 9371\n9138 9263\n3717 7652\n3919 14297\n3175 6826\n988 12366\n7972 10287\n1655 6824\n254 1899\n4404 13531\n6481 12927\n5004 7977\n11145 13069\n6247 8597\n3371 12507\n3746 14192\n6406 14408\n3537 11386\n11473 14919\n2432 14441\n10020 10628\n4368 9534\n64 8370\n1413 10745\n190 10325\n8264 14558\n1427 5084\n1992 14763\n2225 12273\n4157 9439\n10820 12156\n9432 11223\n4029 15597\n9243 15397\n3021 7952\n740 2391\n943 13975\n2880 4763\n7457 10281\n1857 7238\n3789 12435\n4106 7059\n8724 9936\n8205 13110\n9778 13149\n5266 5654\n7187 8788\n9281 15026\n5449 10331\n1489 5845\n1281 6301\n3717 5648\n5542 10099\n6548 13051\n5452 10683\n9688 10572\n7273 12877\n1747 4212\n837 3055\n5963 12953\n11198 14202\n10662 11347\n6194 6490\n6744 14844\n5313 14574\n3647 14564\n5016 12327\n9119 9138\n263 3630\n225 5589\n5885 12988\n6429 15080\n9067 12152\n4923 5628\n13976 15321\n903 8070\n10194 14165\n9097 15579\n3780 9526\n2134 2286\n6520 8344\n1852 13453\n6766 7086\n1212 8866\n3098 4314\n5099 6875\n2641 3266\n4142 7456\n371 8838\n5278 7349\n3158 15166\n4737 5850\n1290 12194\n13875 15581\n8839 12976\n7879 8264\n2198 10643\n11714 12040\n5135 5433\n4815 7250\n2156 3228\n2917 6966\n1404 14889\n8763 9839\n13491 13755\n3601 14211\n1592 2421\n2143 4299\n4278 9645\n1509 5593\n5173 5764\n14129 15536\n12177 14316\n4332 13287\n10586 12778\n1677 3108\n8504 12229\n10848 12771\n1429 4883\n2626 2744\n6785 10760\n121 4521\n9790 13010\n279 4116\n7110 9748\n8402 13716\n6286 6722\n4076 6095\n2483 9157\n10496 12814\n3460 7610\n70 6340\n1934 3491\n5906 8480\n8718 9172\n6395 13375\n3358 14912\n563 12045\n8227 10478\n799 10019\n8715 12095\n6555 6689\n7595 9542\n10259 10759\n7507 8606\n1738 1770\n5761 13266\n2873 3127\n5381 9124\n11207 15197\n3502 9870\n10570 15517\n2431 3017\n11356 12633\n5271 14792\n7058 13767\n1794 8540\n690 12304\n3703 8836\n545 13683\n6599 14339\n3954 15007\n4196 11624\n9173 10703\n1036 11564\n307 7131\n8599 11846\n11945 13703\n3905 14795\n6057 12544\n7411 15459\n2374 11057\n2875 9456\n12747 12979\n262 13029\n1670 12302\n972 1511\n11525 14981\n9372 12580\n2339 8303\n5902 8147\n6995 6997\n12755 14293\n4544 11982\n4757 6071\n2931 6747\n623 13700\n7859 11965\n13192 13858\n9597 9927\n422 11973\n7491 10211\n2551 7432\n4371 6598\n11347 11754\n339 4255\n3882 10509\n3665 13798\n10840 15081\n4061 11176\n13529 15587\n5042 7173\n7118 7285\n2981 9952\n3040 7435\n723 11403\n3267 15288\n5864 13254\n218 7068\n6008 8938\n827 6299\n4601 10082\n852 8630\n2701 2904\n82 11323\n862 11056\n2571 11000\n10317 10437\n6842 10120\n10893 13556\n8439 14968\n8401 11686\n732 2247\n8090 13430\n1635 4480\n10385 14592\n593 6517\n7669 13155\n5139 8415\n5149 7654\n8333 10113\n7182 13798\n7152 13780\n5390 10222\n1910 4179\n7392 8296\n4057 10009\n1900 2205\n3486 12966\n3770 4770\n1780 15179\n5464 13450\n13122 15229\n4104 9240\n10516 13691\n7750 11030\n4349 14630\n11124 11151\n16 7463\n3255 4815\n7616 10792\n5168 6471\n13496 15640\n372 4961\n14644 15296\n4446 9652\n1862 10496\n1378 6283\n4661 14243\n10197 15329\n8283 15266\n11921 12793\n3726 13323\n10675 12934\n15006 15653\n6295 13340\n1089 2046\n2908 9067\n1799 5703\n1030 5414\n9576 13707\n3139 3613\n10516 13626\n2581 5502\n8266 9311\n8950 12334\n1002 12504\n2126 6840\n7237 9366\n6023 11974\n3772 10604\n1903 11775\n4301 8340\n2581 12128\n2175 8910\n12989 14984\n9851 11272\n11466 12289\n12672 13053\n626 10399\n9666 14007\n794 3000\n663 13799\n231 1333\n3298 5462\n3674 11702\n2878 14176\n11883 14823\n1749 15627\n11540 14796\n2323 4017\n5351 6348\n10586 12828\n9157 10541\n9799 14144\n13142 14412\n1234 12386\n6106 8084\n2475 15456\n5532 6885\n3915 10485\n2649 2683\n7202 15499\n6559 11336\n1073 5346\n2375 2467\n5870 9475\n7553 10528\n464 8385\n661 4353\n11107 14604\n7782 15517\n7610 13164\n7105 14526\n6462 12304\n19 1760\n3158 4124\n4841 9898\n5182 14110\n2953 6220\n1880 13146\n8936 14710\n1485 15360\n6478 7727\n1088 2653\n7713 11081\n288 3534\n10679 10764\n6892 11262\n1951 12629\n1892 5915\n9226 12222\n3431 4199\n1110 14357\n2356 5157\n8486 13946\n1151 11620\n9669 11414\n6345 6678\n712 3050\n1263 3176\n10339 12448\n1392 7343\n2567 5723\n6982 8830\n3443 12187\n4894 9418\n12861 15519\n1578 12628\n6937 7315\n6754 7807\n384 15217\n5686 10456\n7143 13673\n5120 8025\n6979 11641\n9453 12953\n5549 14312\n9274 14239\n1855 2072\n10074 12354\n2397 7208\n1786 10679\n8701 13943\n12012 12175\n7468 8491\n1122 2306\n1043 3040\n724 778\n4176 7543\n4477 12537\n1875 13668\n12556 13438\n12703 14061\n2026 9486\n929 3436\n489 5317\n4693 14663\n9864 10509\n2436 12200\n3334 3393\n10667 13199\n1579 7715\n9829 15263\n5700 12306\n2353 13750\n6786 14102\n7402 10994\n10042 14288\n8173 10320\n10489 14269\n1858 9650\n96 6961\n12676 14941\n6522 11610\n3796 6676\n8210 10109\n4476 8456\n7266 8333\n1141 7492\n6301 9015\n1822 11462\n5393 6825\n6754 7738\n4660 5139\n6926 7889\n9 10489\n3490 4125\n5606 7832\n2301 10043\n6213 11939\n9848 14242\n2218 7080\n1513 10614\n138 12098\n1767 7865\n5662 6162\n3493 14269\n1267 12828\n10462 12394\n5560 13261\n5118 8135\n799 5829\n9248 14678\n2613 12237\n6159 11948\n6732 11979\n317 6812\n4711 6217\n8285 10790\n1162 13875\n13444 14669\n9759 15361\n2565 15637\n8486 12696\n8251 12835\n849 3125\n3583 15660\n6751 10012\n768 6030\n11710 14299\n5678 14524\n3897 9047\n8620 12308\n6191 13271\n7036 10805\n14351 15140\n4114 12694\n4283 9869\n2004 7832\n976 15453\n4080 4667\n5575 12094\n3167 9896\n4862 11971\n2998 8619\n4546 9778\n6087 15354\n5421 14577\n8694 11279\n13430 14753\n5781 11908\n12381 13535\n2621 3399\n4393 13387\n6310 12485\n12880 13531\n5148 12140\n3212 13102\n9150 10395\n2809 9536\n4925 7993\n9313 10569\n3936 5244\n4136 10911\n3870 13854\n1 3965\n4798 12522\n4902 6924\n753 2493\n8489 12181\n13219 15291\n8155 13369\n8657 13593\n6882 8040\n10371 15220\n2525 13078\n11843 15600\n5984 14686\n7426 9232\n4684 5448\n1897 11359\n2199 5360\n4800 13990\n8058 12112\n6513 13652\n5203 10817\n3483 12667\n2735 9281\n5207 13309\n46 2420\n4360 6798\n8215 11870\n10704 13447\n8528 10842\n66 8374\n9429 15470\n2851 6118\n3632 13309\n15 366\n1093 8252\n8659 13689\n5770 13317\n125 13870\n14988 15303\n8238 9660\n7479 9660\n5240 5798\n5004 13513\n11439 13252\n11673 14880\n5859 13328\n1599 6217\n10372 15187\n11573 13126\n90 7368\n7759 9402\n3583 10502\n3986 7161\n4778 9344\n5098 15046\n6542 14441\n3024 10526\n8114 15260\n2947 13078\n4281 9357\n5645 6266\n7411 13032\n5812 10922\n9734 13706\n12635 12718\n5952 11513\n3919 11736\n1536 10415\n6566 12979\n11844 13804\n5933 7804\n11890 15186\n3190 11819\n29 14370\n5973 9402\n1229 12667\n8192 11809\n3531 8952\n673 12507\n1154 1404\n10519 10526\n1865 2354\n7618 13873\n9692 14556\n5969 10034\n4256 6753\n6022 7735\n4148 13067\n2139 9510\n3916 8818\n4820 12483\n11105 12855\n115 12085\n1153 14825\n2478 5773\n2368 10020\n4578 5544\n777 8235\n2174 6430\n3333 14825\n2539 8993\n51 1520\n6296 11050\n2600 4520\n2538 12755\n4620 8264\n6005 7301\n11230 13926\n8461 9289\n13291 14530\n11094 12123\n2185 9278\n5620 11537\n853 11734\n8200 9422\n135 5867\n218 2498\n12981 15600\n1844 13589\n11150 15373\n7426 8105\n730 8810\n7399 12489\n2488 13057\n663 5418\n313 11820\n192 14059\n5689 10052\n8987 13910\n3287 3332\n2963 4991\n742 9234\n7503 9143\n11950 13142\n9534 11381\n1742 5050\n3548 7774\n2187 3110\n5624 8005\n1419 15505\n13511 14005\n253 7091\n2249 9878\n7518 14569\n3030 15222\n3444 5602\n10857 12411\n4244 8580\n4039 11690\n92 1230\n3115 13314\n11423 15602\n3256 6917\n10842 13242\n12054 15292\n12612 14920\n14300 14485\n2989 7001\n142 664\n9400 14494\n2243 14269\n8967 10567\n9316 10931\n3074 4157\n7691 14195\n6096 6881\n3655 3935\n2745 5271\n9726 10617\n53 14034\n783 15284\n908 15429\n4440 5062\n2408 13220\n6095 13192\n979 8102\n10515 12815\n1425 14972\n4556 10616\n8589 11961\n451 13249\n3710 13122\n6398 7330\n7722 9706\n3359 6984\n2641 3743\n3001 3458\n3035 9509\n4496 6342\n10100 15495\n6649 6701\n15204 15608\n4149 10991\n7171 11787\n1852 10768\n6591 10190\n3209 9130\n8018 14772\n7061 12757\n2763 7979\n2436 8991\n712 5347\n6529 8237\n609 13741\n2826 11992\n2564 9020\n4376 14421\n1079 5101\n1151 2310\n5661 14583\n88 10532\n890 4495\n896 10834\n3711 5900\n4487 13091\n8700 14159\n3351 6077\n8536 13848\n3721 10234\n10017 11535\n13372 14348\n287 14736\n4120 8654\n522 9382\n2108 2847\n2701 8195\n8706 12301\n14475 15481\n1262 11864\n7464 12728\n11327 13593\n9437 10448\n7167 8695\n327 3154\n4288 12675\n1877 5989\n13998 14548\n5148 9968\n2767 13085\n2742 8746\n11253 11278\n10041 12579\n10273 11862\n1647 12526\n9042 10209\n9247 14755\n10403 13098\n12135 12851\n5196 14266\n9861 13375\n525 1321\n3611 4506\n5216 10407\n60 15333\n4088 11149\n10985 14326\n3161 13342\n2257 15535\n12131 14224\n2856 7201\n9201 13282\n6907 11969\n7433 14562\n10171 14368\n1933 7672\n2974 8291\n4399 11042\n39 368\n420 13578\n6443 6599\n7525 10296\n90 1917\n2108 2327\n5827 13881\n1151 9290\n4348 9111\n2935 7975\n4548 9413\n1990 7473\n3175 8407\n1859 4173\n10581 13481\n2737 10841\n5123 8254\n10620 12053\n5630 15196\n6173 7180\n6619 14299\n4154 7572\n33 5888\n2182 13763\n3460 4578\n8067 13498\n3682 10391\n4495 9369\n7737 9243\n13129 15199\n264 6437\n14893 15385\n3877 8853\n1614 6864\n7140 7308\n3186 12849\n13561 15391\n521 14482\n4696 14554\n5698 15551\n6800 14721\n9198 11891\n9225 13043\n4637 13803\n12584 15652\n8797 14957\n1013 5758\n1887 10179\n4401 8722\n8986 11503\n4957 5197\n13127 13863\n1088 2993\n1885 2063\n7126 7176\n1761 4039\n10013 14793\n6314 9416\n8345 15544\n11543 12135\n6267 8358\n5435 13747\n5628 13134\n2281 2486\n10491 14595\n7332 14262\n10861 14791\n4965 5854\n431 14850\n3620 5180\n6607 10596\n2137 2203\n9043 15406\n8191 15619\n1149 1637\n7041 13186\n854 13868\n4119 15531\n8356 11372\n9459 13393\n7262 7570\n5537 9248\n8186 8350\n1599 5509\n2914 13964\n8839 15407\n1349 10146\n5744 11590\n2472 14112\n982 9280\n874 1043\n628 7985\n8565 13515\n4827 13499\n8160 10460\n5101 15416\n839 6286\n9317 13265\n12952 13923\n1169 12976\n5484 12910\n3605 13031\n3041 9180\n5339 9514\n3370 14860\n4584 15182\n1489 7201\n1849 9632\n3476 5305\n4270 8884\n351 4307\n5448 8617\n3593 12941\n7950 9371\n3208 12861\n5112 7507\n1356 7147\n3543 7019\n1876 8696\n1310 10231\n616 3568\n8539 14542\n7473 14161\n2112 10183\n2332 6435\n9674 14785\n3732 4190\n13595 15538\n10463 10813\n2999 5115\n1797 10193\n8946 13906\n687 13354\n3915 5815\n3309 14050\n508 13817\n5640 14927\n2276 12670\n3568 11804\n10044 10220\n12401 15531\n1224 5511\n8530 10126\n3328 14989\n985 13272\n1245 1584\n5646 10902\n1942 3370\n1767 10434\n5851 10160\n2555 4315\n526 5922\n11761 12511\n2891 13515\n8835 9825\n7879 10957\n3791 5072\n7473 7953\n3495 12066\n4810 9582\n7152 8156\n1307 2803\n11797 12230\n48 3414\n3651 8798\n2918 5488\n1380 13156\n86 14953\n2884 15498\n9293 11687\n5582 10638\n3145 4304\n556 3081\n5607 14525\n9343 9450\n3833 9244\n305 6822\n9630 14981\n7246 10013\n10873 12573\n4952 7622\n293 14028\n2406 6622\n9845 12693\n1700 12659\n648 8517\n1176 4333\n3607 10160\n1784 3009\n9655 13881\n6855 9169\n7134 13517\n4740 8778\n2721 7663\n3717 10173\n2491 14353\n5848 9411\n11167 11214\n1186 7221\n3036 13151\n6884 11657\n6435 7949\n1050 3939\n4947 9648\n8142 10661\n7697 9668\n845 13924\n7619 14984\n5712 11338\n5303 9593\n3428 12608\n11185 13007\n4787 15047\n214 14845\n7017 14502\n7452 13311\n6165 10729\n466 5127\n4798 8428\n2723 11584\n6013 13952\n6746 8079\n1912 3651\n8319 14940\n5028 13728\n663 9603\n1163 12145\n3384 8711\n262 15500\n2743 9810\n9297 10908\n2044 6781\n13476 14537\n2747 4719\n3415 6665\n1971 11747\n6332 13277\n390 9757\n6742 10687\n13986 15527\n1523 4768\n10237 15055\n11719 13818\n6807 15460\n4214 6786\n5420 7531\n6957 13088\n13661 14874\n718 5163\n752 8573\n821 13613\n1432 5113\n255 14398\n4790 14628\n8975 14461\n1077 9262\n3088 10353\n906 13930\n738 11464\n5055 13254\n3360 15272\n8447 13986\n1714 1904\n7477 8172\n93 11221\n1225 13717\n13786 14893\n1347 9032\n1230 1995\n2458 9577\n1331 10727\n1825 12382\n1785 14439\n1168 8855\n6176 6746\n741 1708\n8686 11091\n330 11358\n960 13553\n3929 4060\n11511 15170\n3115 14593\n5505 11582\n6414 10315\n14401 14765\n4933 11082\n2386 8542\n5619 11431\n7403 13729\n8868 11542\n7358 7498\n6003 10589\n2933 13089\n10954 14202\n8178 11157\n2573 5719\n5079 5447\n6062 15384\n3301 10867\n2198 6392\n7601 10035\n5715 11277\n3747 8154\n10827 11055\n3835 8872\n76 5708\n3754 11871\n4024 9768\n3485 14381\n2341 14865\n7812 14788\n231 855\n3747 7912\n2410 2643\n701 1935\n7354 14358\n1750 12079\n656 14084\n3044 10070\n3775 11663\n1876 14544\n11478 11882\n11768 14058\n8020 12422\n5395 5764\n3395 7794\n7154 10811\n9472 11393\n1849 5269\n378 14142\n8568 9954\n2200 9853\n8221 12750\n2725 9349\n628 8153\n2380 6052\n4519 7709\n9829 11774\n12215 13255\n5273 5375\n13504 15287\n158 2099\n1356 12939\n593 7736\n5336 13301\n4079 13205\n680 10819\n1818 13648\n11547 13495\n5554 11507\n3970 14564\n2794 5763\n9401 14113\n4468 15448\n9133 10827\n6891 10812\n948 14186\n2800 9856\n4252 13261\n2029 13424\n2050 10269\n2317 9327\n7175 15512\n6338 8370\n2201 11401\n7742 9170\n6989 10357\n12772 15265\n2536 11313\n2411 15190\n3760 11031\n3221 3738\n1460 6754\n3113 15410\n221 1260\n7424 13691\n2490 7878\n12456 13220\n1472 9051\n2230 4681\n1917 4923\n4811 15084\n10215 12495\n492 588\n1077 2623\n2620 3291\n5425 9650\n4579 4950\n1456 9315\n9852 13687\n4275 8829\n5558 9759\n5775 10988\n9680 15167\n10024 14997\n2881 3356\n10238 11684\n12713 14404\n8313 8805\n11107 13947\n4021 7382\n1985 13604\n519 9888\n9053 14941\n2120 7372\n3173 6717\n284 1855\n3495 4493\n10858 11861\n674 15151\n6024 8391\n4014 7196\n741 5596\n5722 10650\n459 10929\n6483 14539\n6677 9362\n7557 9852\n2102 2430\n3151 9021\n3673 6444\n5100 6240\n3425 8647\n1936 15234\n13051 13436\n12492 15334\n5357 8773\n6420 11660\n402 5070\n9074 10706\n10078 14278\n8917 11634\n2874 13525\n2501 8449\n10857 14611\n3176 7737\n5639 8871\n8573 14853\n7654 8264\n5319 5664\n2831 8932\n3653 12833\n38 5166\n1064 2020\n13 5779\n803 2350\n3429 5294\n3268 14353\n1068 14246\n7427 13941\n9637 10318\n9683 12921\n11711 15167\n1580 9917\n2587 5663\n2550 4831\n8553 14176\n551 15622\n7645 10230\n5908 11467\n4740 9194\n4209 13388\n13673 14286\n6575 8717\n1966 9743\n10057 12338\n2000 4750\n11038 14794\n428 6198\n1583 13738\n2427 9014\n3869 13337\n3557 11697\n4544 9965\n1157 12004\n8744 10119\n10528 13352\n8801 10928\n4325 6107\n4195 7428\n2377 5382\n225 7677\n4496 15516\n5115 8735\n1761 1885\n1003 8809\n11183 12433\n6052 11943\n5230 9960\n6569 13333\n691 1018\n7279 12735\n2031 14398\n792 14921\n2773 7739\n4272 9573\n12389 12878\n5659 12353\n2023 14687\n5341 13237\n11052 13167\n3453 10547\n163 10127\n2487 12948\n3157 9494\n1478 14906\n1271 1734\n1887 5375\n13334 14975\n5701 6475\n3377 5472\n4503 12532\n1226 12782\n11678 12627\n219 5123\n6105 14456\n13102 13335\n841 8140\n4237 5291\n4427 11768\n8379 14954\n1645 8858\n133 12206\n1099 5930\n734 11853\n2537 8326\n3672 15106\n6203 12898\n1242 7804\n384 8685\n3702 6076\n8386 11443\n10661 15616\n2151 13487\n6957 8278\n4995 11983\n2152 3016\n8192 14009\n3064 6456\n596 14582\n6102 10585\n291 15007\n2568 3031\n206 7053\n265 3202\n12817 13915\n2990 12527\n968 11087\n10454 11486\n6059 13705\n2667 11086\n6251 11047\n10189 14371\n3465 4767\n1647 8838\n10695 14837\n1958 4517\n6155 15340\n3993 12592\n6746 10610\n2118 10695\n6413 12695\n2825 8558\n968 13082\n10889 14066\n12007 12668\n9103 13144\n911 15563\n9377 10029\n3606 14151\n4191 5822\n5226 10121\n2075 4618\n7158 7737\n2083 6373\n6393 6741\n410 12534\n4225 12427\n3027 11723\n5605 13571\n6526 13938\n5265 7080\n11175 15428\n5817 7431\n7279 9805\n8119 9657\n11081 11181\n6827 13799\n1782 10151\n4178 5712\n12811 13571\n631 5277\n7262 15416\n1861 5121\n5325 9465\n1404 12059\n13438 15164\n2874 12001\n3182 11161\n2347 14600\n1175 11389\n4488 15489\n7615 15127\n1246 12254\n4350 8947\n619 2342\n8357 12960\n1759 9845\n2899 3538\n4260 5341\n3828 5100\n10060 12905\n2589 8273\n7389 15614\n5929 11503\n4876 9790\n170 11177\n810 7782\n11796 12475\n920 2613\n1526 14302\n5299 10699\n6507 12211\n1762 6777\n51 1369\n3360 11589\n7529 12849\n4909 8508\n2008 8443\n7317 7576\n3237 14753\n1818 15516\n11135 11416\n4838 12658\n2014 5379\n11271 13797\n4144 6306\n5141 8044\n5797 10764\n11030 12308\n15061 15528\n38 10826\n7993 13594\n6681 7009\n5787 11225\n7317 15579\n4726 5880\n4869 10137\n5882 15026\n1672 13830\n2285 11857\n1545 14778\n4912 9548\n3072 9642\n3095 14874\n3391 14126\n3879 9540\n975 12816\n1606 4486\n8405 9238\n591 1610\n2828 13379\n2651 3451\n7775 10879\n926 13118\n11321 12628\n9999 10275\n6799 13228\n2982 13353\n495 5683\n6403 14561\n3165 10624\n7181 8775\n14151 15613\n4028 7157\n9980 14639\n5779 10865\n6492 14359\n9556 11917\n4686 11538\n4774 5353\n6681 9755\n10565 10984\n5344 7553\n6735 13194\n2737 15125\n5951 6375\n8687 10928\n573 13543\n1812 13130\n4351 6989\n6471 15227\n14058 14507\n13012 13862\n2913 7805\n1960 5222\n4300 12227\n1979 3127\n6604 12777\n1318 15508\n5080 10376\n8564 11014\n15112 15521\n1029 1821\n8435 14861\n1475 15531\n1665 10332\n4349 4577\n2243 8591\n11013 15277\n10032 11833\n8426 15469\n5810 6500\n3938 6054\n1872 12888\n126 5849\n3154 4436\n10416 14325\n4738 13641\n9108 12290\n824 10952\n8829 10012\n9446 15430\n8417 13038\n2118 4996\n3934 11793\n1309 15075\n3120 14552\n3651 12441\n201 15026\n12044 14450\n7677 13353\n1100 5426\n3917 14877\n4342 7508\n3847 13179\n11553 13118\n6582 13702\n1796 11647\n4163 4304\n7525 7747\n6708 10535\n2981 14607\n806 3413\n13214 15174\n1100 7732\n12761 15658\n3614 4265\n8624 14837\n13649 15608\n10302 13742\n9266 10756\n1891 2860\n12138 14725\n5468 7752\n2773 3725\n1373 13791\n12257 12548\n567 11681\n3009 5629\n1548 9713\n163 9965\n1329 13971\n6689 8103\n2259 4515\n2309 2767\n687 10820\n42 2568\n13682 15270\n5377 8770\n9383 12757\n3003 11258\n2904 12104\n3608 13092\n2984 15597\n3842 7625\n12045 14335\n2712 6577\n1876 3262\n5070 13751\n9351 15134\n5592 12136\n59 5863\n3955 13352\n1140 14179\n1209 2923\n11846 12258\n6476 8095\n3947 4347\n1545 15249\n14064 14640\n1795 11091\n3055 4239\n7824 12651\n3967 13797\n5694 7396\n675 15389\n8458 8929\n249 12890\n736 3624\n2579 7298\n3816 4385\n7727 14379\n739 1110\n4205 14272\n10931 13598\n1294 2523\n4925 5825\n887 2082\n5661 11697\n3886 13278\n3519 8469\n3550 5273\n183 13397\n533 2243\n4629 14221\n10734 12292\n227 1723\n1745 13738\n10260 15173\n8153 13223\n3015 7758\n69 13343\n5961 12937\n13614 13996\n5107 9332\n787 6226\n8659 15491\n7593 7841\n9379 11518\n4268 7013\n11565 13550\n10285 15006\n6336 13379\n13742 15168\n2356 9510\n4438 14157\n7049 14217\n2676 7831\n3496 12286\n5570 13918\n1411 7273\n8781 15494\n12999 14123\n7525 13074\n312 14439\n12324 12700\n4887 13822\n4564 11439\n8442 15638\n6373 13676\n9093 11861\n7398 12337\n8958 12798\n8503 15358\n8493 12802\n1246 10696\n2907 9849\n262 11078\n2554 6840\n1831 10676\n2089 8587\n10491 15300\n192 8888\n6663 10215\n3434 11109\n5473 8404\n8800 12364\n4988 5554\n365 7432\n7805 11537\n6725 12846\n939 13493\n4901 11511\n2985 3833\n1914 9526\n5405 7909\n7345 10673\n14781 15061\n8417 10988\n309 7182\n6170 14282\n7619 14547\n7 11100\n6861 13105\n8381 13504\n989 3249\n1046 4398\n2211 14130\n3915 14977\n1164 6994\n8323 10317\n7906 10105\n7523 14290\n5333 7602\n6194 9948\n10573 12812\n972 13104\n4711 8233\n472 1483\n3280 14798\n135 14170\n3659 9059\n1623 6429\n4915 12613\n3380 5391\n1395 9899\n7768 12967\n1851 2655\n2324 9815\n4136 4736\n379 12804\n1795 11857\n1086 5693\n5756 9542\n2125 15332\n2443 6841\n10702 11047\n11675 11790\n1380 3271\n4592 7137\n2868 14274\n13206 15405\n5098 12000\n4355 9072\n4840 9494\n3076 4989\n11842 13906\n9680 12048\n240 4234\n193 4871\n4990 8481\n9084 11105\n9606 12011\n10009 10625\n8635 15299\n6258 12318\n1249 2397\n3931 6206\n695 4140\n7130 8536\n8615 12324\n1951 8654\n10379 11124\n2161 6485\n339 10995\n6060 8302\n5755 12947\n1052 6913\n174 10873\n2666 15092\n4862 15551\n7059 14824\n9000 15147\n8553 12680\n7268 11455\n12778 15442\n3082 3332\n12362 12883\n2930 5670\n8232 13487\n1115 13654\n5557 5692\n8186 9862\n4042 6301\n3216 9080\n11107 12759\n2970 8264\n237 12496\n1691 4635\n739 8400\n4269 8454\n2218 2788\n10222 10661\n8632 14094\n7551 13998\n1899 7559\n2990 10354\n29 5258\n11747 14765\n73 9355\n12486 13248\n4071 12141\n891 15597\n1847 12156\n2000 12980\n3234 4317\n6236 9171\n13227 14087\n8395 15526\n271 3023\n5169 13116\n9713 9817\n10953 11828\n2284 12323\n2042 14996\n2234 4535\n823 1485\n2666 15562\n6399 10996\n1740 6217\n4756 15204\n11652 13822\n2320 10328\n2612 4860\n1148 10753\n2867 14026\n10563 15262\n6903 12900\n5778 13241\n7783 10144\n3177 4614\n1682 8692\n453 5114\n8090 14460\n6106 14774\n4528 11341\n2414 6132\n1757 5390\n38 927\n7929 11511\n10915 13851\n10332 11407\n705 13168\n1232 10496\n8722 15507\n10600 14624\n6408 11476\n5576 11369\n6353 9419\n8691 9531\n1262 8666\n10546 13567\n3479 13361\n5515 12799\n3854 13174\n3238 9750\n3996 14813\n11341 13655\n418 15558\n4373 12663\n10133 12433\n2632 10382\n4677 11269\n12342 12629\n1554 14824\n1297 6301\n2819 15463\n14980 15363\n9022 9300\n2791 14781\n2470 10522\n14056 15300\n2736 2774\n13169 14858\n8052 10372\n7918 10373\n239 12015\n10726 15522\n6675 7370\n3129 9378\n1920 14401\n2244 9286\n704 12992\n3048 11665\n2810 10702\n460 12651\n375 2675\n1087 14776\n3344 13732\n5226 7442\n1160 1695\n416 4435\n1008 9140\n2104 14118\n6559 8005\n8802 9172\n1531 9132\n4187 12968\n3991 12416\n1817 13969\n10195 10465\n6553 6722\n9708 12457\n5164 9245\n2378 8371\n9948 11077\n12622 15438\n4410 7944\n1658 12207\n1399 8817\n12413 15587\n5872 9789\n1679 2447\n1267 6361\n5086 7649\n3928 8103\n2112 12630\n10127 11751\n11775 12152\n12736 13338\n5337 14374\n5850 9232\n18 14103\n8207 12732\n5291 6360\n5501 11672\n7425 11364\n3659 10665\n5737 10256\n1452 10634\n923 15017\n943 6911\n11835 14311\n7220 15014\n12446 12560\n3964 8784\n4365 5975\n5800 13369\n1756 7274\n2306 15235\n3345 3727\n1638 9026\n9350 12367\n8149 10417\n2489 10299\n14202 15463\n3948 5620\n3846 15053\n8455 15147\n3524 6766\n1139 12598\n3374 6044\n7051 7885\n8666 14923\n4048 12561\n9967 13228\n8879 9263\n6509 11976\n3497 9861\n1957 2203\n1957 8117\n10059 11245\n4328 10246\n4917 12382\n37 4294\n13875 14244\n3985 8066\n3008 12775\n6480 11430\n2070 4821\n1345 3434\n2518 7643\n12225 14652\n12408 13193\n1466 6744\n6021 10539\n1277 12628\n1903 13566\n11109 15282\n3308 9361\n2624 6537\n8603 14192\n4213 12739\n10208 11659\n12 11928\n6348 9544\n1286 14206\n4721 7635\n7133 11690\n4521 5583\n7793 9488\n6198 14086\n6527 7154\n13896 15537\n937 12994\n7099 14630\n2633 5246\n6504 9218\n1132 10337\n2139 9661\n5843 9277\n1400 13102\n405 9504\n10228 11750\n1134 8529\n2288 12421\n3219 5895\n4758 8454\n1101 11719\n2491 6010\n2847 13546\n7540 14886\n811 13634\n2253 5573\n2827 5747\n4281 12813\n7172 8657\n2036 12960\n1356 11705\n6464 14800\n4595 5555\n3961 5561\n10190 12406\n4905 12642\n8440 15335\n5890 8520\n2206 14196\n6157 9456\n5006 14630\n5898 12565\n2171 14858\n3799 5310\n6861 10038\n1720 7294\n913 3676\n11952 13902\n9572 11534\n5395 10383\n4831 9572\n1838 3580\n11495 15428\n665 2410\n2611 7735\n3535 11871\n6688 13249\n10582 14490\n1012 6370\n2705 9602\n12191 13399\n13320 14496\n3114 15396\n3886 6019\n3548 14202\n619 14861\n3522 9725\n1269 2846\n586 3492\n1944 2334\n4385 5530\n505 3520\n5789 8244\n3798 10939\n669 1746\n8552 10930\n4784 14800\n4231 15319\n421 9719\n616 1529\n8300 14396\n3358 14870\n2557 4029\n11909 14305\n3768 12645\n13661 14022\n423 5499\n1079 15511\n4536 12347\n4064 10359\n5836 9054\n11754 14279\n11474 14791\n3898 9536\n3176 9116\n1875 12743\n8071 9347\n8851 10259\n2598 7941\n7108 9850\n3941 6962\n1124 6683\n3714 5255\n2947 4924\n12299 14432\n7993 10180\n269 2409\n6044 6485\n3341 4597\n2578 7291\n3069 10983\n2654 2853\n3772 7324\n11995 14650\n3465 11105\n4084 8733\n1547 15136\n14833 15619\n5385 14268\n2238 5129\n5515 7389\n622 3042\n2774 4562\n417 12753\n9494 13986\n4973 7058\n10887 12489\n2618 3354\n873 14705\n1304 6844\n4015 12738\n1193 8303\n7601 10593\n175 7882\n6473 11596\n6950 7826\n2685 15584\n6363 10524\n4861 11205\n3779 10692\n5092 13229\n3778 14181\n3509 11853\n10001 11063\n13559 14963\n4707 9413\n8808 14688\n10653 14118\n3582 9018\n2229 14277\n528 9208\n472 4456\n10067 13491\n9069 14064\n7746 11081\n5136 13911\n4364 14507\n5648 15252\n3016 8744\n1609 14897\n942 2000\n3091 15453\n260 10706\n4810 8776\n5260 9817\n3691 4791\n7121 11087\n8694 9047\n7834 11513\n10768 12641\n14489 15268\n14537 15320\n8561 13211\n3018 11124\n5428 6071\n894 9365\n6488 15251\n103 11350\n12807 13107\n10105 12310\n1982 7289\n5354 8850\n292 14353\n624 5714\n7539 9494\n988 11041\n4493 15098\n9769 15470\n4647 7871\n4766 11100\n3783 7102\n2024 11181\n6135 11465\n8449 13810\n2015 3308\n6444 11203\n7809 9394\n1216 5762\n4212 14993\n4062 10919\n12348 12926\n130 11377\n4833 15394\n7648 9766\n1112 10539\n10674 11794\n4376 4723\n9517 9822\n9456 11476\n9665 11282\n1378 5011\n7105 10059\n9630 12229\n5429 14219\n7773 8307\n1353 11085\n1204 3260\n2280 11953\n5847 7433\n5745 9607\n6050 6963\n91 2729\n4531 9195\n6721 12643\n5686 7368\n7723 13508\n7543 13451\n2250 6291\n602 3808\n4756 12314\n9003 9998\n4124 13838\n8898 14508\n6959 13185\n12333 15223\n3777 4031\n5812 12374\n13624 14943\n6469 7095\n152 10027\n1242 10843\n4680 9609\n1168 13511\n2549 13101\n2550 10068\n4421 6775\n4113 15559\n2363 12324\n8991 11716\n392 7391\n5517 9051\n6033 8985\n8007 8612\n7409 15233\n9319 13927\n2077 7337\n12665 14648\n909 11927\n654 13170\n2724 12737\n3590 15409\n13967 14244\n3156 12775\n7990 13402\n5946 11755\n4286 14846\n5253 6117\n9373 14067\n10140 15405\n10970 13113\n6159 6754\n894 14465\n7383 11532\n3125 3218\n1297 13067\n3776 6498\n10430 14979\n64 5079\n407 13026\n5934 11614\n4199 4812\n10098 12429\n5976 15266\n13366 14668\n6253 12883\n1936 3112\n12057 12920\n10039 10622\n1491 13069\n870 13601\n9686 13868\n6536 12517\n2508 3441\n6502 10513\n1054 13585\n1761 11626\n3077 8364\n5290 10823\n5522 14630\n8831 11244\n4566 12669\n10668 12102\n3459 14122\n392 9218\n11203 15490\n6608 12058\n7698 9475\n4760 11195\n7364 8525\n1582 9002\n3556 9972\n820 3499\n923 11737\n2423 9158\n543 15380\n2015 3576\n1424 7271\n8276 8839\n8105 9903\n11814 15659\n5699 12241\n8549 15461\n14464 15126\n1968 14802\n9961 14009\n1254 10203\n2505 6276\n640 5237\n2763 8682\n6983 9892\n4797 15103\n12832 13649\n6236 14203\n225 740\n11401 14179\n5783 14508\n3097 12197\n974 4151\n1352 10021\n5575 13829\n3030 6403\n3210 4721\n3497 12301\n4007 8607\n1199 13444\n2440 12433\n3049 8500\n1362 13056\n2231 7460\n6049 6789\n234 4143\n6460 9338\n4089 13406\n1804 4207\n13097 14388\n3775 13184\n3616 6575\n2078 5685\n296 7643\n6337 14590\n5421 10087\n4614 6076\n3046 3749\n4927 8784\n5238 9997\n2385 12416\n3298 9911\n11902 13419\n3920 14268\n4074 13021\n7739 13594\n8939 11271\n4636 9555\n6009 7927\n6022 13953\n4789 8868\n116 7608\n7202 11185\n4699 6515\n1627 11305\n1764 13811\n7625 10512\n1529 8954\n1093 14042\n2780 7530\n7303 14338\n2065 4312\n3097 13640\n2209 5968\n1429 7252\n1527 13428\n8445 15421\n79 10562\n773 13424\n919 2429\n10859 11246\n301 14017\n5288 10462\n12256 13525\n803 15575\n7727 14237\n208 13127\n4740 8120\n119 4640\n6232 13055\n95 5397\n12071 13138\n1942 15419\n3838 14375\n245 9192\n8848 15068\n1054 3141\n4980 7394\n17 1160\n5078 13274\n323 12505\n6676 8407\n11054 11983\n6482 14019\n3106 13931\n7689 12686\n3628 11692\n38 9092\n4016 4391\n3467 3996\n3138 15051\n4177 9430\n12389 14498\n746 11440\n66 4678\n2993 10170\n7225 11025\n5438 6159\n51 13082\n12995 13823\n642 4950\n1120 3274\n3202 6602\n7543 14875\n11526 15184\n11902 12026\n2543 11557\n9559 12565\n7283 8066\n5464 13786\n9437 10901\n1663 12358\n582 5370\n8506 11237\n8996 11697\n10270 10323\n926 12806\n9694 14947\n2240 6659\n7982 14347\n4715 5723\n517 6285\n436 871\n1107 2105\n3864 13372\n3231 8929\n8092 14653\n6397 10103\n743 13325\n5012 14318\n5944 15435\n634 2844\n1547 4895\n8147 10328\n14050 15241\n3723 7903\n7098 14262\n12668 15653\n5948 14571\n1198 14769\n2000 11675\n4001 8123\n6542 15478\n12173 14384\n7843 13464\n1649 12451\n4856 9667\n11000 11758\n1217 3291\n1072 6481\n1038 10570\n1234 5222\n6368 12914\n4633 7736\n877 7087\n5365 11608\n3506 8853\n2473 8218\n6082 11124\n2374 13633\n3865 9861\n8053 8425\n2840 9922\n801 1850\n559 8343\n1573 6996\n7111 10083\n1441 12979\n12792 13268\n2825 10374\n7121 13191\n7270 12231\n4152 10742\n4161 6859\n2154 11677\n7549 9777\n6433 7299\n298 3434\n2003 2520\n8798 9169\n4485 11379\n9493 11266\n448 6825\n465 11875\n3889 7809\n1910 14858\n12560 14016\n2652 5683\n4448 5581\n2050 13085\n2482 7834\n521 15638\n1990 14251\n1950 15001\n5209 5994\n9204 9763\n2579 14244\n1123 13645\n4657 9303\n513 2240\n103 10780\n7412 11437\n6767 11578\n7362 13875\n1024 4045\n1843 2439\n6580 8810\n6302 13496\n1016 14131\n12818 15650\n1216 11010\n5009 12424\n354 15340\n5243 11285\n4377 8399\n7453 15066\n11356 13876\n5970 15093\n4264 14672\n2463 9160\n588 12694\n1165 11186\n1155 6522\n7950 13571\n6971 13559\n3184 6801\n591 14126\n2 11787\n491 5549\n8689 13998\n974 2521\n4487 12347\n12233 12475\n6849 13190\n3442 4373\n3427 12384\n5098 13789\n2058 10948\n704 3985\n8931 12366\n3245 5022\n733 7746\n14760 14906\n7933 8300\n11819 13038\n6053 7251\n2179 11436\n11890 13121\n208 11156\n4151 13695\n10236 15214\n6325 14688\n6961 10088\n3369 12613\n7745 13881\n7397 13797\n2061 12486\n8128 9083\n8224 10074\n735 12552\n305 11841\n6250 6576\n1367 5179\n2288 8918\n2570 14868\n8233 10435\n4148 14033\n2033 15501\n303 5619\n2465 14712\n2324 10430\n7552 8389\n1957 7295\n4365 10695\n9505 14792\n4885 14017\n3510 12671\n3784 15624\n2516 14332\n939 14326\n6381 7882\n8093 10481\n4964 10222\n2010 5445\n8623 8932\n991 12429\n5369 12883\n8178 10134\n1409 5359\n1899 3949\n7135 9888\n6914 8054\n8829 14223\n6106 12543\n1453 13780\n7114 15445\n291 9565\n13655 13970\n7487 13937\n11411 12775\n6527 14077\n944 12033\n3181 5282\n1262 5588\n13155 13270\n9154 13184\n841 1426\n5112 14182\n3634 10288\n5034 13211\n13753 15490\n7665 8277\n1422 11323\n1824 11508\n8191 12365\n3585 9816\n10228 15336\n3494 14183\n3177 13711\n8519 12339\n2071 5853\n13930 14846\n3712 14479\n6651 12845\n2474 10416\n8556 11338\n9017 9504\n866 10490\n2476 5891\n1106 5875\n7995 11481\n5332 8951\n7313 15598\n2479 15603\n9369 15443\n1275 3965\n901 6204\n4852 14551\n9624 11063\n7744 10087\n8895 15403\n8730 14634\n2261 14873\n2302 3499\n1962 2722\n2395 8937\n4788 8656\n4306 9619\n9583 10917\n4706 6569\n3574 10269\n12539 15653\n1551 14175\n5332 10945\n723 3373\n1640 13566\n4036 10163\n6214 6774\n10721 13265\n1927 5024\n5623 8454\n1161 10098\n10503 14172\n4337 7330\n6055 10503\n4208 4229\n1115 4866\n7884 13628\n5300 8221\n12240 14286\n13442 15542\n7362 13097\n5262 9322\n1515 5130\n2262 3681\n7494 10376\n6792 15054\n12961 14380\n561 7998\n11085 15478\n12017 12027\n6240 12029\n3664 15189\n12658 12879\n10559 14527\n4029 6140\n5238 8780\n173 10945\n6642 15577\n2073 12268\n5574 7537\n8340 8704\n1184 13162\n5786 14475\n2100 8390\n4401 6479\n8485 12844\n13610 14019\n6760 14970\n3547 14688\n2843 7290\n10155 12786\n115 2783\n7178 13450\n989 11435\n15346 15604\n1048 8044\n1681 9908\n9356 14523\n726 11163\n5364 7962\n53 11562\n11242 12205\n2607 2874\n6059 12763\n209 1469\n1222 15228\n67 3826\n12413 14295\n7151 7220\n3429 5791\n11293 15478\n13561 13954\n6499 14721\n1755 5735\n9957 12117\n12523 13358\n569 13140\n428 1243\n1672 7073\n5032 11514\n1132 14722\n631 6821\n495 3577\n1471 13540\n2265 12335\n1995 15293\n7488 12714\n2993 14634\n2537 15053\n1090 11571\n3231 6052\n4753 13417\n19 4696\n617 13619\n6963 14377\n1806 9152\n4707 5391\n1487 12470\n2024 4424\n6616 15505\n9045 12064\n5619 6536\n1366 12550\n4837 7059\n1414 10772\n14147 14838\n11092 11741\n3143 5308\n7925 10602\n3839 4438\n2026 6010\n1468 4558\n9050 13264\n852 6511\n6996 14511\n7322 7773\n69 6351\n1241 14742\n1025 10150\n1754 5921\n8501 14455\n10043 13946\n8258 14087\n1213 11994\n10919 10944\n2489 7979\n5147 8603\n1371 15420\n9829 12787\n8656 9878\n3606 12776\n3191 8228\n3081 10350\n9197 12473\n3275 12349\n8444 14387\n2172 5484\n293 7060\n7364 13283\n8575 15098\n3515 4871\n5611 7429\n224 4734\n2903 12149\n1849 12655\n8622 10493\n11275 12202\n916 9286\n8965 10308\n3957 14590\n10376 12846\n8347 13365\n8053 11969\n1767 14771\n5162 6089\n1523 1959\n6225 14594\n1840 7023\n646 14979\n9571 12352\n311 3383\n7449 14581\n1489 3442\n5185 12072\n9715 11178\n3134 13937\n9461 14995\n265 5909\n5218 7513\n6153 10262\n10447 12942\n5111 8209\n12399 14850\n2860 8814\n1527 1626\n3295 6485\n5858 6522\n6805 13691\n5998 8110\n4306 12561\n1773 4973\n1200 4868\n8691 10101\n7378 7694\n3417 8397\n7822 8239\n4706 11672\n1777 2000\n3223 4472\n3008 7024\n146 13759\n11363 13333\n1328 12799\n10357 10756\n6499 9749\n6590 7032\n5346 9795\n8008 10124\n2800 12554\n9547 12489\n2942 6807\n15387 15500\n6423 12169\n863 11420\n11668 14596\n13139 14085\n2462 6223\n11280 15587\n1255 4544\n3005 12250\n10604 12773\n3270 8728\n884 15526\n105 14261\n3025 15355\n3475 5663\n1611 15154\n12729 13174\n2159 10373\n9412 15442\n4253 8931\n3846 11040\n7429 10626\n7094 8176\n5002 12110\n1581 11125\n822 12181\n8271 10154\n4439 11661\n3142 14333\n1584 13485\n5859 15140\n3147 9630\n5652 10683\n2641 12720\n11977 12680\n4365 12160\n5004 11502\n12701 15255\n9228 9710\n5337 6535\n4166 5509\n1949 6700\n6845 13900\n7370 14215\n8816 15366\n9595 15139\n73 2167\n5245 8030\n4316 10653\n5906 14942\n14017 15091\n9452 9869\n1210 11668\n15105 15355\n6228 11835\n804 10050\n5551 7010\n14935 14963\n134 9202\n9813 14903\n5755 9209\n10124 10904\n386 13188\n1630 4219\n8710 11077\n2625 6551\n3485 14850\n1284 2616\n4947 4991\n5927 9904\n481 4155\n4862 6235\n3449 14491\n829 10316\n8807 10788\n851 10976\n9796 12491\n382 785\n4360 9373\n3261 11548\n5548 8062\n5452 15623\n7441 8607\n2184 9579\n13248 14061\n6352 12241\n771 10509\n5655 12510\n2171 14618\n755 4095\n3015 12074\n3221 13554\n3786 5092\n5285 8540\n7797 10602\n4843 11051\n2070 2914\n211 1054\n5242 14560\n6771 10780\n5700 9514\n1395 7715\n1188 12737\n428 14079\n5194 10345\n5920 13361\n3098 11542\n13105 13460\n8239 11582\n11120 13286\n697 11075\n3024 11574\n1404 8450\n2820 7802\n1013 11994\n448 8456\n10367 14427\n2523 13542\n6570 12544\n2068 6928\n6630 7632\n966 13360\n3872 8464\n4976 7118\n9698 10584\n1785 8449\n12423 13027\n11256 15398\n179 15604\n1376 7224\n959 3013\n4965 10442\n7038 14878\n9127 9891\n10735 12020\n1241 8071\n6422 10088\n491 11333\n1121 10092\n8379 9472\n237 11119\n10522 11823\n1604 7041\n4502 15001\n4752 5126\n4376 13268\n2002 5546\n7839 14414\n1851 12158\n583 10857\n2610 3005\n2997 12494\n12563 13758\n10532 11021\n3369 15047\n3287 13405\n3247 5872\n2512 7650\n4394 15462\n6244 10697\n4826 8082\n3569 9440\n105 4714\n3278 12656\n10739 15427\n2099 5579\n5516 14298\n6802 8385\n9980 13820\n5149 11162\n8742 8878\n2583 7255\n3167 13987\n4561 7994\n10229 11127\n3599 15585\n8201 8300\n631 6340\n619 11872\n977 3993\n6961 12386\n5958 10810\n1050 9384\n980 3690\n1647 8081\n1940 7466\n204 10444\n15372 15563\n7144 9112\n116 3019\n4608 5119\n6474 8051\n5169 6221\n3005 8055\n3299 6630\n7144 11793\n10554 10886\n231 11017\n3391 7926\n4890 15580\n13882 15453\n7606 12516\n9258 14444\n4656 6242\n2119 12090\n2467 9090\n1743 9793\n6141 12809\n2931 14985\n14494 14718\n4826 8387\n9023 9218\n9508 11870\n6147 7460\n7543 14959\n3824 10690\n2481 6416\n3737 7288\n4868 8494\n3464 14919\n5342 7325\n3291 6172\n4017 5793\n13849 15199\n4794 10828\n7188 15102\n989 6567\n8647 9945\n43 4001\n2753 4512\n8173 11318\n682 14341\n8235 8237\n7532 8932\n2912 7937\n10722 11432\n10320 11104\n11549 14515\n3589 4098\n1095 4824\n3378 13525\n4974 9205\n1297 10511\n10834 11521\n9391 9872\n2504 10104\n9506 13769\n4101 13676\n9871 10899\n4625 10301\n1364 10202\n6156 11442\n1871 14970\n3677 14668\n3011 9538\n4453 6972\n13499 14379\n1186 10470\n11587 12462\n15409 15458\n7214 14622\n2839 6847\n8430 14049\n13663 14863\n422 6650\n7201 12427\n8740 8810\n8311 9106\n9762 11796\n7362 11635\n1330 3905\n540 4988\n2038 3150\n564 2910\n9553 10759\n1998 15217\n161 11894\n6419 13511\n4405 13468\n5686 7151\n2645 7201\n9826 10648\n8053 13267\n2377 4503\n3483 9406\n1291 12429\n7715 11604\n2662 15191\n10344 13770\n2851 10717\n9952 12502\n1616 6954\n404 4261\n4591 11323\n2523 15570\n3646 14516\n12740 14711\n4789 6654\n3274 8614\n3105 8094\n11452 15339\n6817 14661\n2625 8127\n807 12938\n449 2049\n5407 12623\n4046 14677\n10420 13249\n5247 6798\n166 13920\n530 14223\n1298 11418\n4386 7748\n2385 5853\n903 8007\n10001 11723\n492 14341\n1385 3241\n4214 12204\n119 395\n14559 14671\n960 9929\n973 7511\n3557 5664\n7962 9883\n9966 10687\n6945 9028\n9973 11130\n2836 7901\n6337 7879\n10682 15213\n180 4244\n3991 6215\n1116 3850\n11036 13844\n10474 11058\n151 10234\n9296 14890\n8899 12535\n5799 13814\n6053 6884\n9484 14431\n6919 14274\n7144 12876\n5828 14410\n411 7451\n97 11033\n8051 15266\n1861 3253\n784 2015\n10048 10664\n3240 4270\n676 2755\n564 13055\n3348 13052\n793 2440\n3707 14104\n11608 15288\n4021 9550\n6504 13722\n1189 12504\n6078 8178\n3852 10501\n9874 14069\n4451 14988\n10408 12047\n3269 12971\n4148 8513\n8935 11264\n990 6000\n6466 14301\n8796 14060\n5968 11373\n4422 6387\n6687 8600\n3359 12514\n13600 14490\n7550 13766\n1975 5984\n13971 14996\n2452 7967\n3820 5241\n7042 10686\n288 8425\n28 8237\n1368 5854\n2625 12584\n5948 13943\n3813 6555\n11140 11580\n830 3346\n5055 9099\n6107 13367\n9328 10430\n10451 13137\n1686 6935\n3630 11863\n3314 6154\n3271 3312\n15055 15100\n9189 14619\n6027 8819\n1138 8416\n11354 15048\n3213 4954\n4158 10114\n8658 11415\n1696 13232\n4643 7123\n8804 13849\n3767 14038\n5077 10269\n8132 12212\n5440 10806\n6479 8684\n3131 12291\n4513 7700\n4752 10738\n8951 15163\n176 10099\n1572 6338\n3184 14488\n11094 14232\n2221 5935\n6456 10935\n4046 4814\n10941 11011\n9251 13845\n1977 12516\n2135 11455\n1292 8608\n1392 10841\n11851 11871\n6782 10462\n14346 15428\n1182 13701\n12089 12709\n2570 7839\n263 1186\n1942 4969\n5304 15626\n850 4732\n2341 12430\n589 2245\n10075 12652\n1174 4079\n4736 5468\n449 479\n5378 8997\n10806 13295\n812 14110\n8187 8268\n3128 8424\n5409 11164\n922 11854\n6398 10051\n1531 3054\n12071 12602\n2345 5592\n1007 11043\n13352 13979\n799 2400\n300 12313\n8034 8507\n7321 7865\n3271 5141\n11930 13144\n7582 15231\n6970 13065\n4728 7355\n6169 8593\n3035 6001\n986 7161\n819 9860\n7037 12219\n2839 4843\n5417 10638\n605 5218\n7931 9191\n2137 6059\n10846 13283\n3194 11845\n12526 13218\n1987 14220\n1706 6184\n3668 3761\n5182 8944\n6267 9411\n7154 10898\n6172 6340\n9171 11869\n492 6126\n12670 15391\n10173 11437\n210 1906\n2492 10149\n6004 14043\n7203 8599\n7697 13829\n2748 12174\n7461 7834\n11068 15163\n990 13761\n5325 8589\n2287 13645\n5177 6290\n10031 14864\n2616 15440\n4042 6431\n4339 4722\n184 870\n5171 11520\n4593 11230\n4366 5665\n6629 10397\n1737 14771\n8772 12178\n1887 3512\n1711 15253\n5875 13682\n4185 4873\n4691 11178\n3088 5595\n10870 14027\n1769 5393\n269 10048\n7658 14175\n10730 14455\n263 7450\n3876 14341\n4106 10008\n8932 11041\n6316 12092\n3702 7941\n11333 14792\n2344 13818\n2359 11939\n1547 8077\n1586 9831\n6099 14417\n2705 2891\n7532 8105\n7487 9791\n3434 5492\n6543 11186\n5769 8961\n3230 14627\n2375 10099\n6499 15584\n4665 14256\n1612 9278\n2229 11927\n14862 15176\n1447 3345\n3352 9086\n9740 11639\n1361 8092\n2097 4858\n4041 11189\n6318 10519\n2151 9026\n6002 6152\n7404 8567\n13643 14887\n4060 9036\n2156 13254\n4285 12229\n5517 11707\n4071 13693\n788 9336\n2971 6227\n4318 8343\n2880 2933\n312 6356\n723 10386\n1043 14089\n5634 8080\n4055 11069\n2614 5534\n10426 14928\n3712 10474\n19 2774\n4199 10402\n8279 12735\n1909 5925\n11110 11702\n7333 7691\n7542 12120\n13028 14094\n5256 6040\n2151 5641\n4424 12471\n920 3916\n346 7665\n5835 10606\n2259 3390\n7844 11777\n5492 8651\n4570 12780\n4648 14871\n7491 15033\n5388 11106\n10639 11208\n4356 12006\n3822 4413\n576 841\n7330 9896\n2312 14999\n1657 9005\n4673 7309\n11577 14463\n1246 11832\n119 10383\n366 5116\n4679 11047\n5305 13205\n11148 13458\n160 13399\n7750 15359\n7073 12930\n11523 15549\n1249 15389\n6690 14911\n5571 14307\n9098 9287\n1877 4880\n374 4581\n3034 12085\n3990 9720\n249 7054\n1204 13633\n1433 15407\n375 9567\n2242 11663\n1806 4434\n4307 13321\n5899 14476\n10603 11855\n1949 15201\n7018 7110\n8700 14365\n10607 15611\n2919 15432\n2812 6849\n6139 8617\n10654 11605\n5087 7065\n2713 13433\n754 9999\n5750 6399\n2141 10269\n6176 14466\n7160 15607\n8055 11604\n7276 11111\n3739 6309\n6023 9046\n11345 12883\n9233 10214\n7277 10738\n9406 12771\n10224 12246\n2989 11921\n2308 8007\n5641 14592\n2044 4347\n6784 15173\n869 14678\n757 829\n14369 15025\n1516 5278\n138 9874\n5369 9399\n7882 13953\n7719 9094\n1738 8818\n286 15028\n8342 14684\n948 7770\n5318 9723\n793 2011\n6244 11111\n373 8447\n671 5520\n9260 15280\n6493 7826\n7670 13752\n3846 14651\n12711 13335\n1354 10597\n5607 13775\n3980 8898\n9673 10704\n9302 12065\n8759 11269\n6461 7740\n10596 15237\n1938 12158\n3101 11628\n3285 8910\n10487 11844\n12354 13656\n14677 15221\n724 2868\n12016 15357\n6749 7003\n1436 9439\n3429 5287\n5109 6062\n10259 11839\n4410 13878\n7497 14857\n3960 13890\n1534 6158\n13127 15531\n6371 15492\n1989 2586\n2668 11222\n1362 10986\n1295 12337\n5513 6381\n1516 7001\n2934 14780\n4248 12078\n2150 7331\n9973 14140\n2867 14821\n1295 5891\n7854 12287\n3011 5163\n6006 9926\n1495 5067\n13279 14334\n7365 10488\n7966 13060\n2783 3949\n6295 13542\n6698 10682\n15013 15377\n3417 14020\n2514 6217\n8315 11440\n2620 3495\n5115 13736\n1796 3086\n13574 14630\n4726 12698\n10671 14677\n956 11284\n3841 9983\n8382 14400\n987 7829\n105 12694\n6357 13933\n5510 12113\n2869 12078\n2271 13963\n5269 9697\n3002 3634\n3519 10711\n3799 8503\n8238 8712\n2659 6135\n14147 15384\n5542 9940\n3913 5124\n3021 4300\n5236 14039\n4879 8188\n7994 15627\n2196 12981\n9096 10356\n7452 13262\n2027 12839\n10391 13760\n2991 9520\n10073 12885\n12218 15187\n8039 9296\n2663 2816\n313 2321\n656 12002\n8223 14865\n11874 12205\n932 11462\n4214 4904\n11440 15033\n3232 3999\n11872 14975\n2213 12616\n10736 11259\n11461 13210\n12722 13698\n724 3164\n961 11588\n147 11859\n9179 12515\n7008 12370\n4469 15003\n2765 13318\n5316 9358\n7003 8251\n9466 14862\n4728 8257\n13755 14545\n4641 10233\n10724 13940\n8010 14386\n2101 13472\n5712 14449\n763 6207\n7043 14293\n10044 13121\n499 2461\n472 11158\n5016 7356\n770 12164\n7612 12166\n4438 9182\n1144 1770\n2068 2929\n9942 14082\n1096 6033\n357 11418\n2668 14574\n167 10409\n9453 13112\n7203 10909\n8637 14273\n5120 10839\n6452 8296\n2035 13640\n325 12917\n4637 5319\n6710 7753\n1206 4467\n1290 5161\n6553 7658\n692 9633\n8153 15516\n12095 15100\n2227 6270\n6808 11561\n3193 6063\n7379 11802\n8767 14017\n6606 11721\n9365 12928\n1883 7954\n1425 8337\n5515 8411\n5232 5327\n8595 14346\n7228 14801\n3535 14335\n5054 13726\n6200 8156\n6444 15407\n2249 14373\n7863 10291\n3840 5786\n1720 4507\n2624 4794\n10932 11359\n8433 9107\n8485 11226\n1957 7886\n5742 10761\n5682 11491\n4277 13347\n13243 13567\n4707 11634\n4630 8905\n10847 13618\n4728 9034\n9530 14006\n1911 6308\n1003 13766\n2832 9873\n12778 14700\n316 13688\n274 15259\n4063 8140\n11251 14010\n1587 13573\n3971 6264\n6146 13038\n5378 12235\n9716 13768\n6039 7094\n1227 7310\n1632 7743\n9212 12099\n925 3015\n978 15198\n2412 15345\n3417 14394\n1392 8384\n2703 12283\n618 10903\n1263 7141\n1740 6644\n1221 5938\n5967 15633\n7791 13506\n3070 4678\n8287 12043\n7636 8172\n7052 14872\n1676 15171\n10176 14698\n421 748\n11905 12534\n455 2864\n8773 12025\n9745 13698\n6620 8065\n5846 15103\n7181 13256\n2223 9672\n6116 11361\n3298 12061\n4258 12966\n6423 14817\n7679 9604\n4364 11922\n10792 12838\n3605 7854\n3567 14682\n3005 9990\n6912 6972\n8202 14663\n9484 9501\n3557 8797\n11459 14836\n3277 8798\n4909 10149\n11861 12097\n8825 9095\n319 6431\n9089 9388\n4682 12980\n3002 5240\n4515 10234\n9631 13018\n9365 10124\n8030 8988\n399 8875\n526 6176\n6492 9441\n3975 8485\n1835 7490\n6607 10068\n6823 13564\n4432 10779\n5284 15405\n623 8581\n7731 14610\n5959 11361\n4754 13005\n7536 10259\n4335 9035\n12210 12355\n8298 12892\n2366 12604\n9208 11691\n9736 10339\n1289 1348\n1921 3023\n4764 12235\n7703 10006\n848 12593\n15322 15367\n3954 14517\n3280 9489\n5222 7361\n494 3014\n1518 13086\n8269 15268\n5711 6316\n8580 13694\n1800 7426\n64 12259\n12041 12596\n526 15417\n10372 12038\n8307 10710\n7979 8263\n4692 13769\n1000 14463\n748 10511\n10531 15317\n2718 9255\n5484 7265\n10625 12971\n2502 11246\n10880 13681\n13079 15507\n6433 9376\n11450 12981\n3199 10428\n12674 15516\n9642 13692\n194 11253\n14041 15412\n538 11050\n757 2839\n3238 10991\n3535 10730\n7722 14608\n722 8148\n11826 13243\n6273 8356\n1919 4596\n1685 12581\n875 12092\n924 13233\n1686 3546\n7814 11122\n2129 4992\n3208 13757\n6220 12722\n4118 9425\n1373 15295\n3342 14127\n4330 6017\n6819 9728\n3687 5524\n8945 12331\n7074 12363\n3324 14312\n1788 15131\n2720 7955\n9792 10905\n429 12881\n10006 12173\n1720 3224\n569 10963\n649 2677\n11491 11509\n6642 8056\n9519 10455\n13975 15236\n3424 12516\n2905 13793\n4802 13257\n4184 6327\n12973 14999\n8886 10065\n11188 12313\n11887 15365\n6352 8816\n1095 9237\n6776 11936\n4481 5421\n8349 13736\n1837 5139\n1460 6738\n1069 14246\n4339 10398\n3866 10441\n4601 14497\n6688 13005\n4916 13737\n4172 13637\n2151 7311\n5845 13543\n9351 13070\n6143 7569\n1305 5082\n9592 15220\n6059 9899\n10667 14842\n1017 9639\n3326 8775\n6825 8559\n2986 4622\n1007 4328\n9864 11590\n998 1416\n4670 7734\n4817 12162\n6634 10215\n2839 4530\n7736 13491\n5192 8524\n4645 5268\n8183 9554\n5319 6519\n196 11273\n663 14787\n130 13445\n3328 4657\n1198 14430\n1653 9938\n4294 8612\n663 8111\n7539 7606\n7671 13990\n1315 8347\n14219 15013\n11948 15579\n9605 9777\n593 8067\n2054 5136\n1535 12222\n7061 13373\n1754 3321\n7356 14680\n5963 13316\n3920 11192\n8380 8543\n2044 9818\n5215 6517\n4940 6521\n13726 14820\n1091 10952\n3155 9676\n5084 10275\n1865 9323\n6094 10149\n3203 8006\n5738 6953\n7599 14736\n413 8182\n5976 9033\n1994 11512\n1676 9363\n7581 11843\n3545 5200\n12444 13898\n4378 14819\n11575 12790\n5188 12840\n5445 9299\n6918 8026\n7138 10899\n6619 9092\n6600 6634\n1001 3561\n2644 6653\n8052 13791\n2490 7651\n3115 7109\n12395 14818\n6289 13510\n14056 14382\n686 11450\n7306 14813\n2773 8153\n2748 6840\n8646 15142\n829 1535\n5001 10689\n3436 15406\n5557 12766\n1031 1416\n4458 12379\n583 12390\n1559 5375\n4745 8305\n1579 7441\n5033 7147\n6445 9566\n8592 14309\n3525 6545\n3069 3563\n11891 13997\n2527 10807\n4477 5040\n5938 11991\n5221 13027\n1211 4394\n5362 12727\n6532 12244\n7630 12985\n3299 10746\n2068 12553\n6155 11766\n1691 10357\n5560 10086\n10903 15177\n7796 9165\n13590 14662\n13039 15012\n1127 5944\n2456 7756\n2856 3004\n14574 15326\n5032 6106\n8289 12900\n2285 15474\n2449 6523\n1885 6842\n8590 11997\n1608 2374\n3803 7806\n441 4086\n3434 5511\n6206 13250\n205 1672\n7517 7763\n4974 6475\n6378 9197\n4022 9361\n840 3853\n6866 7127\n4872 11449\n11262 14046\n4609 7650\n12218 15097\n7109 11475\n6722 12039\n150 5767\n2530 6050\n2660 8820\n8701 12505\n10063 15595\n5012 12117\n6049 15030\n9879 15508\n3492 4737\n4539 8189\n13203 13387\n6076 13651\n2976 4803\n1987 3243\n4411 9999\n11823 13118\n10624 11403\n291 7713\n4954 11102\n5284 14799\n902 11137\n6780 12947\n3965 9371\n199 5167\n3337 11888\n2732 15144\n2923 6873\n7689 11139\n8235 13297\n5500 8072\n6856 9525\n70 6278\n3409 11069\n6343 15172\n1010 10284\n10787 14497\n5081 13768\n1016 3104\n7801 14270\n3656 13352\n1918 2610\n2695 8693\n3466 14504\n2474 5251\n163 14100\n190 1301\n1176 9210\n9131 11574\n1502 7542\n3360 7573\n8157 14000\n10531 13804\n7493 15287\n954 6790\n2182 12585\n10221 13224\n2119 5414\n1213 2537\n2881 5149\n5220 8485\n9470 12236\n4285 4495\n2764 12481\n1963 8101\n1642 13167\n758 9468\n8918 12541\n5670 12347\n1401 4731\n13307 15228\n5869 6361\n2572 6300\n946 11832\n3576 7498\n8272 12876\n9803 15581\n4944 9470\n5604 13758\n11775 11999\n4639 6317\n1082 13990\n3935 12464\n4660 11458\n7036 12550\n4430 11382\n3466 3643\n3935 5217\n8414 15547\n2188 4831\n6100 11863\n1501 4124\n2560 7226\n1796 12876\n14167 15011\n13780 14769\n9526 13107\n4126 8175\n6258 6340\n5365 13568\n6613 11323\n2215 11819\n2971 11457\n6024 12780\n13285 15421\n2393 11427\n3281 10474\n2226 12759\n7285 9595\n639 4264\n3336 7088\n4178 12784\n11169 12970\n1170 12854\n2027 12731\n1870 4426\n3006 14516\n2003 2730\n12593 15105\n818 3180\n1386 15629\n8047 8113\n2761 15025\n6356 14764\n3983 6629\n8112 12901\n3606 5713\n4559 6558\n13052 15032\n8205 8603\n3317 9109\n3777 8811\n210 4347\n1199 10801\n939 1364\n1446 12476\n7244 10944\n5819 9350\n6802 13281\n5843 9115\n6226 9642\n7165 11693\n2 11131\n4703 6918\n77 4068\n16 15181\n4889 11386\n540 14430\n8752 10093\n3058 9230\n12658 15176\n4863 5290\n1911 14787\n4183 8332\n9586 11602\n286 13979\n226 13386\n2474 4167\n6779 13814\n1324 13183\n3340 3410\n13132 13530\n7031 11869\n12980 14119\n10518 13248\n8470 13398\n2002 10871\n3617 11737\n6431 13832\n4066 5020\n1715 14941\n6411 9748\n13488 15400\n10275 12871\n6740 6943\n3440 3480\n10739 11553\n11265 11970\n3225 5547\n2544 7445\n8548 13084\n5556 8107\n4362 8905\n5631 11855\n3783 9291\n152 15531\n1431 6272\n5249 11483\n1354 10186\n1868 2954\n2744 7029\n4862 10733\n2148 11017\n9714 10844\n14360 14591\n649 4512\n1757 13184\n7360 14644\n7264 11629\n172 12983\n9123 13642\n4738 7933\n8268 14772\n5005 9793\n2370 8605\n325 9297\n3768 4015\n6447 9763\n3408 11505\n5228 14357\n4884 11520\n5050 12457\n3393 13393\n1089 13993\n7019 10288\n1697 13760\n1243 10790\n12386 14413\n5299 9115\n2071 7904\n3256 5029\n5818 8572\n3174 13532\n9256 9382\n1519 14764\n6661 12527\n2591 7538\n8070 12778\n5937 7532\n4199 12941\n5389 9838\n5730 7026\n8243 8622\n9102 11876\n4264 14302\n8825 13840\n2478 6586\n6848 9472\n932 15518\n300 12052\n3229 13970\n6433 6921\n2934 14041\n10275 15502\n789 8145\n6235 6360\n7219 9080\n318 10158\n3382 7768\n4557 11084\n1375 15357\n5798 7877\n3439 8169\n5386 13244\n7903 8028\n9257 9637\n297 6778\n10087 14435\n719 8519\n9922 14149\n3076 10107\n12500 14835\n3222 6540\n4073 5433\n4182 14279\n10252 13554\n3904 5222\n938 7100\n749 15154\n6969 12209\n1408 14783\n2797 12320\n1233 8218\n4673 6181\n11325 13758\n693 4289\n12249 15657\n7035 9032\n9576 10337\n5199 15290\n9462 14319\n2442 5319\n10687 14255\n8740 13795\n9199 10257\n1437 2738\n7542 15516\n7827 10706\n2 13770\n10995 13593\n8127 11098\n841 3781\n8325 8822\n6470 12713\n3770 13911\n2771 6006\n857 2915\n944 3047\n1527 8069\n7571 10832\n5467 6064\n9167 15286\n6105 9270\n2206 10091\n640 10091\n10937 14477\n8110 10603\n2709 11402\n3338 11590\n13001 14888\n29 1889\n1317 15658\n5063 8035\n12494 13080\n8775 13317\n4635 15175\n2318 7125\n390 11213\n6286 11545\n6878 14802\n5784 8962\n3901 8668\n6856 9204\n7524 10669\n8652 13467\n1834 2717\n7531 15428\n11612 12248\n5106 11347\n4376 6565\n7935 9824\n10719 15327\n2250 10475\n4734 14561\n11300 14712\n1262 8114\n8254 11286\n569 9246\n6331 14478\n674 11247\n7508 8961\n5699 10734\n2170 9398\n7106 14217\n2849 15523\n4075 10662\n200 2543\n3295 4424\n7332 8975\n6794 11484\n4370 12643\n3055 5353\n6339 9235\n7231 14120\n1942 2750\n12919 13248\n5152 14459\n9656 9782\n2609 4302\n3004 13389\n8447 9958\n609 3953\n3887 4182\n3947 7996\n1030 13912\n973 8388\n3065 6792\n1644 10080\n1485 1704\n3429 5925\n5869 8654\n3854 12781\n6991 8333\n367 6003\n7229 11104\n11737 15189\n3272 9278\n4650 10697\n6011 10100\n5892 10589\n1040 14989\n14021 14061\n7 14941\n5169 8844\n7913 13949\n1953 15388\n4118 10162\n2528 2961\n6878 11653\n5289 15088\n5156 11993\n1857 9156\n428 12081\n7083 11925\n4536 14639\n6471 11369\n7939 11210\n3947 12994\n756 14880\n2869 10608\n9845 10879\n10060 15483\n7457 9320\n2706 8804\n1229 12387\n2645 15172\n6174 10606\n4051 7603\n4258 12854\n581 12038\n759 8490\n1617 10294\n7572 13039\n4036 6346\n2682 7652\n2124 12559\n14012 14622\n6081 7930\n2147 13742\n3222 9676\n6691 11806\n3969 12437\n456 12504\n1414 5323\n439 9265\n11298 11893\n4989 12096\n3903 13360\n4898 9050\n9891 14597\n759 4881\n4048 11318\n1145 12187\n7202 13590\n6302 8988\n2718 3172\n1529 2883\n2317 11055\n2617 8852\n9528 11889\n5441 9101\n3626 6398\n905 13888\n9006 15377\n10256 13387\n9660 12640\n6236 13986\n1284 2056\n11005 11902\n5429 12403\n2614 10698\n4657 5934\n5636 11369\n4175 12936\n2627 14772\n7888 13989\n4046 10763\n1412 8765\n8924 15167\n7886 12454\n6521 9797\n1469 10836\n2633 12946\n13169 15511\n1227 10325\n13454 14868\n9675 15490\n4539 13853\n10542 11375\n10768 14551\n12258 14216\n11942 12829\n298 4614\n3484 5441\n6982 11689\n2246 12591\n10942 12823\n769 6734\n8203 15129\n5152 10796\n3465 11202\n2562 4342\n84 1317\n390 8154\n11857 14033\n1016 8376\n5154 11654\n11280 14104\n8250 11383\n6126 13959\n6078 7536\n8654 14497\n8236 12567\n15167 15183\n11 5881\n14357 15201\n8147 15215\n2187 9449\n2955 15356\n2471 8250\n654 7440\n4330 14413\n610 5818\n13034 15081\n7851 14406\n8739 15364\n1890 6286\n8105 11661\n1204 14245\n1601 5714\n1704 12150\n8390 15450\n2874 10962\n857 8450\n4841 5500\n9204 10196\n10091 10246\n1028 11731\n4723 6093\n14253 14509\n10959 14174\n4883 9038\n6422 6933\n9792 10107\n1612 14375\n3876 7865\n1176 9445\n265 13268\n14785 15221\n5861 5907\n232 4720\n1655 7054\n5143 14984\n8643 10725\n10152 14075\n7857 14069\n6073 9220\n6778 9792\n1493 3400\n1790 15117\n1148 10704\n1613 15085\n7 857\n2132 6426\n11582 13475\n8080 8118\n2899 7927\n701 11868\n5829 9208\n559 11904\n3914 14479\n3141 14541\n2110 14254\n2809 11145\n12041 12367\n10019 15337\n12736 13186\n5529 14502\n5132 8651\n6575 7792\n14279 14587\n8364 13862\n739 5733\n11677 14826\n9456 12241\n1324 4996\n4452 13462\n7185 11350\n3041 10161\n4073 15162\n662 13420\n5391 9852\n5888 7934\n9826 15073\n4553 8536\n5920 6686\n11662 13434\n963 10444\n1190 2338\n381 15527\n3729 12147\n7013 13327\n1903 14903\n6136 11829\n6495 14419\n6445 7093\n1767 15439\n336 11463\n429 7146\n13782 14910\n1647 15444\n14148 15180\n10797 12293\n4879 11782\n9960 11269\n2846 5493\n6943 11171\n6973 12614\n12016 15178\n7271 13365\n11371 14251\n8829 14038\n2487 3057\n5430 6089\n1294 6307\n8514 8940\n7021 15304\n12273 12945\n13717 15596\n1676 3792\n1356 11702\n3308 12202\n8592 12051\n5628 8836\n2279 2653\n1570 2549\n14348 15641\n6136 12055\n4051 9144\n7958 11370\n13 14915\n7693 8249\n701 4642\n1580 6566\n6885 11520\n5837 10747\n3420 8578\n244 13329\n2553 12520\n13694 14290\n9942 13862\n4575 15015\n1837 11545\n1979 4172\n5139 5829\n4402 8884\n1026 9204\n4135 14593\n4361 15239\n1344 5078\n1494 4788\n12122 13478\n8585 9906\n4468 5117\n3986 8535\n9764 15376\n9376 11170\n5055 10962\n7875 15629\n2616 8859\n8025 8381\n9748 12730\n1287 1507\n9580 15290\n2301 3005\n5345 9546\n2197 4240\n11930 15434\n6116 9878\n5399 9886\n3791 10597\n1478 3524\n7353 13220\n2285 13754\n12895 13723\n386 12948\n2508 7094\n7018 13269\n3423 5693\n5747 14853\n9181 9311\n4593 12363\n1682 9348\n8651 11973\n15 5479\n6199 14249\n830 6639\n5733 10801\n3689 11376\n1875 6273\n3620 9352\n367 6891\n1305 14595\n6579 7107\n6908 8993\n5172 7740\n2906 14456\n5460 6791\n9789 11090\n3461 8138\n6163 9573\n7677 7973\n5349 15487\n8439 9754\n2871 10735\n2374 9394\n9425 12800\n10826 12306\n4620 11587\n4980 11479\n3115 6179\n5520 9612\n4057 9358\n532 15327\n10663 13115\n6588 14203\n8555 11027\n3735 11968\n4133 13955\n8768 10347\n1515 14028\n2910 4074\n6051 7022\n2897 6773\n8843 11372\n241 1765\n2283 6354\n2468 12690\n2551 9804\n140 13313\n12622 12986\n5067 11884\n5234 7741\n822 1328\n4004 13921\n1398 6580\n4607 13813\n4287 12338\n5923 14186\n7937 11014\n3160 8997\n4858 8559\n518 7297\n4311 14975\n9617 10277\n1529 2677\n10639 10717\n5344 6059\n3138 9367\n735 3546\n7592 7595\n4185 12226\n1793 13715\n4056 15188\n5774 15459\n558 7148\n1641 15010\n554 2135\n10479 13761\n11775 12821\n2545 10671\n2915 4838\n6783 15073\n9124 14369\n7187 9021\n674 12223\n6467 8413\n13924 14701\n5343 9175\n3376 7504\n3230 11989\n394 2587\n1428 13599\n9864 11109\n1141 1407\n9516 11299\n3557 13914\n1954 12765\n7323 13620\n8413 15128\n2140 14718\n10061 15477\n2908 13806\n7151 10715\n6400 12942\n2793 3510\n324 9740\n2618 9138\n7928 9017\n7198 10605\n10362 15568\n3929 14655\n12654 13015\n1262 11735\n4370 14748\n114 5364\n9625 10499\n2611 8745\n4349 6424\n8648 9349\n3808 15495\n8263 9429\n10573 10997\n7400 15000\n2460 5545\n5809 13909\n4366 9709\n5319 5712\n1560 11810\n1706 14411\n9930 11989\n1134 3734\n6148 9675\n6835 9091\n660 5763\n5612 15017\n7735 7756\n10827 14967\n13101 13923\n6333 6728\n1540 10220\n60 2312\n2367 10851\n1784 15292\n513 14284\n5046 12747\n6972 8838\n15 4643\n1397 9035\n406 9059\n1590 6398\n8423 11217\n6406 13882\n9570 12946\n5577 8600\n2208 4216\n7800 9710\n5032 14300\n5944 6361\n8314 15487\n1492 2693\n9793 11405\n10600 13803\n2771 14803\n8885 14728\n2596 15395\n262 7072\n8570 8699\n7614 8069\n3800 14296\n2466 8218\n825 13752\n5704 10134\n8363 9107\n12777 15589\n3577 9586\n86 10561\n8124 8619\n12349 12921\n5596 6284\n2958 7177\n379 2104\n7983 9674\n7837 12491\n11590 12455\n2930 5819\n10492 14825\n349 5837\n4341 8730\n12351 15459\n2284 9367\n380 14985\n2071 9156\n6699 13538\n10358 13749\n1139 5737\n1424 2690\n929 7909\n3088 6967\n9333 13259\n10790 12681\n245 4331\n4867 10281\n9949 14228\n13417 13991\n185 4582\n13457 14609\n3049 11418\n5096 8632\n6899 9213\n14537 14674\n1370 8411\n1447 8104\n3156 12909\n6091 15597\n232 14872\n6138 12829\n5245 14926\n3043 5761\n12476 14179\n7450 11253\n4923 8610\n7671 12338\n8278 15017\n4803 12190\n2278 12817\n9523 11330\n4663 9669\n6042 10738\n9751 10251\n8225 10708\n6355 6407\n143 12725\n7849 7977\n3803 4751\n4820 6007\n1938 13511\n4816 13019\n2038 14080\n12545 14714\n1570 15154\n11011 13099\n3031 11908\n2072 5159\n1957 14875\n1359 4210\n3178 12206\n1058 6375\n2051 4381\n2315 5665\n5061 10524\n7268 9107\n859 12776\n11214 14304\n924 13343\n475 6590\n960 13317\n795 8989\n4121 6655\n6262 11013\n1459 3550\n15290 15535\n4984 7040\n6877 11450\n2096 2734\n2037 3983\n4077 13878\n3555 15257\n9575 14883\n500 6864\n5190 5244\n4236 8834\n2981 3464\n1965 9216\n11533 12703\n446 8720\n10250 10613\n3097 6863\n9923 14989\n3998 11751\n2556 5663\n302 6197\n1515 1820\n6761 11719\n2435 7182\n1342 11709\n2131 4332\n855 14855\n12529 13181\n1114 7257\n8152 12138\n3762 3936\n732 3377\n7416 8918\n1418 2712\n31 7055\n9804 12904\n313 11617\n8540 8684\n7296 14445\n4870 5352\n7279 8882\n1806 4627\n6807 6857\n2919 8805\n3032 14083\n11728 11897\n7464 13072\n4116 10199\n5816 10676\n8021 10233\n7884 10527\n2756 3935\n1109 6486\n9509 13055\n3187 10300\n5411 15392\n2220 6904\n2314 7358\n2748 10153\n13420 14813\n9432 15173\n9445 15283\n2743 14816\n8727 12126\n1245 11058\n5050 11451\n2754 10937\n1891 10270\n7580 8167\n3798 14491\n12574 13359\n3208 14590\n10628 13526\n57 11474\n62 15348\n4099 14565\n1912 12101\n280 3415\n10561 11206\n5850 6884\n4679 8887\n3765 14867\n12993 14531\n2685 10002\n9369 12001\n1544 2654\n3353 15192\n3196 15320\n5316 8047\n1193 11544\n2202 6801\n10534 14574\n12572 12801\n6157 11121\n10597 12041\n4659 6934\n548 13043\n4207 12789\n1872 7540\n1617 12348\n11814 13208\n6013 9843\n104 5102\n744 2504\n5923 10415\n9763 15566\n2635 13121\n10872 13026\n8919 13544\n1285 3832\n828 12205\n2114 4160\n713 10340\n4077 11581\n3669 12055\n5430 7316\n10811 14288\n3330 14657\n3348 3922\n8030 14139\n2610 12877\n511 4515\n145 5592\n6187 11470\n6512 6651\n8099 9411\n4144 9912\n7447 11979\n4348 6395\n5278 5887\n10829 14721\n12066 13371\n2839 13957\n2368 5506\n5551 12973\n3527 15139\n4734 9938\n10302 12263\n4105 6869\n730 4706\n2363 4525\n2984 11082\n5511 8039\n9376 14283\n6968 12686\n4928 14287\n5078 14548\n2663 8118\n5226 9885\n10259 13214\n8208 13430\n6340 8501\n2388 7646\n5122 11530\n676 10204\n9658 14504\n9141 12210\n3959 14738\n9273 12073\n10676 14206\n7114 8610\n4912 9833\n4107 7544\n14573 15138\n4984 5647\n716 2856\n9696 10291\n4066 7621\n5324 10872\n11545 14367\n2013 4549\n475 14483\n4090 11030\n6158 7021\n1793 6773\n1683 7652\n2274 15439\n1068 2236\n2610 8752\n320 15421\n8634 13732\n4016 12627\n5536 7720\n10420 14131\n6554 11436\n1163 11637\n6131 6162\n3711 13868\n7765 12271\n4827 5351\n1145 5034\n576 6922\n8202 8859\n3873 6435\n3133 10449\n4335 8980\n2452 11282\n4834 15070\n7085 13238\n14029 14557\n9950 11618\n11147 11829\n9623 9777\n4579 14864\n13240 13716\n10711 12326\n2193 14126\n1455 4188\n5855 13991\n611 6022\n14279 14351\n6877 10104\n10023 10209\n9583 13964\n5661 7010\n1396 9348\n3905 7477\n916 12737\n9012 11367\n11026 14446\n1118 2878\n11695 13682\n5930 9713\n6873 15483\n102 15469\n5671 8169\n12843 15621\n2596 14857\n706 14464\n78 11245\n7889 13306\n4431 12981\n3580 7606\n5915 14135\n9058 15598\n11124 14486\n9854 13935\n6933 12456\n6406 14963\n8385 12228\n6361 14683\n9862 15263\n1294 5004\n5944 10331\n4009 7196\n3117 8434\n2228 11315\n1451 5678\n6141 12616\n11505 15100\n5506 5533\n922 3035\n4148 12437\n13079 13666\n9006 14305\n4003 10178\n6632 11115\n6165 8257\n5490 6953\n3532 8431\n3776 8303\n1193 12363\n5505 15090\n13640 14414\n10092 14353\n4547 6084\n6124 10286\n4881 8838\n8742 15107\n5597 7339\n6980 11233\n4256 5838\n1408 15656\n989 10778\n8242 13964\n2648 7322\n14025 14046\n6014 14163\n10802 13612\n2153 6836\n2356 12996\n1430 5211\n2529 3057\n2029 2155\n4425 5537\n6950 7967\n5181 13268\n2811 11514\n7110 12668\n1584 4229\n3297 10438\n2149 10150\n8840 15286\n6283 6373\n8381 8672\n4875 10115\n5003 14258\n487 5549\n3435 12682\n1418 3771\n1690 15072\n5843 6150\n3576 3746\n7615 14368\n4163 13865\n10309 11418\n6991 7020\n8595 15580\n4574 5711\n6288 13076\n8634 12541\n2039 14999\n2192 9150\n8056 11823\n1673 14340\n1728 3603\n6475 9518\n4939 8221\n991 8502\n10299 13239\n1053 5579\n7229 8282\n10627 12817\n2138 5713\n5147 10741\n4676 10712\n1070 13564\n4433 5665\n6672 14291\n39 9822\n9856 12817\n3882 7917\n7829 13814\n6129 6547\n6049 8243\n113 7945\n1465 1754\n863 11993\n7203 13395\n7228 9742\n1289 9748\n9508 11854\n4032 5614\n5915 13438\n9234 12026\n13460 14825\n8819 11342\n7624 10497\n3015 15108\n13071 14838\n3215 8766\n262 14164\n9342 12902\n8688 14073\n5869 14665\n6937 14707\n953 3885\n2965 8788\n4288 10067\n4170 9866\n4852 9524\n7310 8545\n8058 12668\n3873 14227\n2434 7311\n4454 10695\n1716 7740\n4440 6281\n6764 15357\n12611 13673\n2298 11357\n3920 5557\n5121 9826\n1120 9664\n1145 9545\n2199 13379\n8431 12540\n4111 9686\n1221 9049\n8130 10743\n9062 12107\n7915 12145\n6295 9075\n6345 6455\n1921 11534\n2128 12250\n1972 8761\n3712 4494\n10407 11266\n885 2952\n1240 14827\n7129 14675\n8846 13816\n1255 9911\n9737 10972\n3416 9007\n733 10834\n9015 13940\n5927 10554\n4406 5961\n898 6640\n2333 10946\n2382 4443\n618 7325\n7193 8986\n3567 11069\n8569 9525\n12449 13852\n9089 12564\n5804 13779\n11899 12803\n1282 15381\n3855 7510\n2022 6357\n4846 9920\n3138 6694\n9455 12238\n5217 8886\n200 12842\n3601 6948\n3715 11385\n5854 9577\n2788 13171\n3411 9758\n5980 9893\n1701 8361\n6583 14788\n6603 14356\n10962 15246\n11570 14718\n713 4825\n6363 12181\n4634 4909\n10204 13177\n9246 15173\n13408 15660\n831 1565\n6637 14548\n1304 9607\n11542 13598\n7539 13778\n2402 15432\n3871 11105\n3069 11492\n1903 6180\n9753 10693\n6869 12004\n6897 9597\n5380 15040\n2539 5114\n4803 12278\n835 11100\n394 9014\n2543 8300\n10165 15358\n6930 13547\n7648 11723\n1362 4751\n11941 15455\n7 12698\n898 1058\n5649 9281\n303 5830\n21 10179\n10534 15490\n124 3639\n7324 7748\n257 14404\n7129 8472\n11607 12484\n1835 12563\n10134 14298\n5582 13175\n14009 14857\n8098 13991\n8663 13260\n5589 11975\n5094 5662\n4063 15327\n5850 8402\n8042 14576\n3129 10652\n809 12814\n476 5699\n2364 14806\n1963 2588\n1877 9800\n6080 7611\n1913 2453\n8772 15506\n5850 10875\n6955 14944\n1433 6995\n5992 13926\n4413 5682\n14109 15367\n5156 7941\n4913 10010\n12046 14031\n6622 15566\n1794 13819\n4217 13538\n5279 10420\n4917 10967\n1064 13896\n68 4566\n4752 5843\n1481 11652\n1374 5863\n2216 14543\n6476 12241\n10231 11357\n1721 5199\n6572 14291\n3963 7644\n3485 15051\n7689 14825\n3076 7364\n981 8290\n4647 10867\n145 13622\n2185 15458\n6050 13304\n1231 5389\n1185 6506\n1710 8826\n5974 12206\n6646 10856\n444 10671\n4488 11618\n699 12377\n2246 11565\n7066 7681\n13176 13307\n6761 13001\n5552 9654\n7583 15528\n8944 9171\n1871 11493\n2923 14830\n1489 8744\n1208 1705\n3571 3658\n1273 15015\n1189 7553\n2915 10318\n6926 14505\n4035 14423\n2128 3689\n7040 14191\n3904 4309\n8001 11746\n3677 6759\n8693 9823\n3014 4951\n1606 13718\n9456 13217\n13742 13764\n11647 13950\n3551 7605\n985 4241\n1367 4024\n6189 12968\n2655 7540\n9307 11651\n1887 6603\n7189 14254\n12711 15379\n7739 14288\n12802 12937\n3359 5276\n4508 15527\n1113 14850\n1775 12541\n8072 14322\n13807 15288\n750 9539\n3452 7916\n6980 9511\n14016 15259\n12559 12844\n8715 9009\n2515 2787\n10079 10295\n7786 13568\n547 4858\n689 2648\n4414 8634\n20 12031\n3474 5162\n179 2903\n8394 12723\n14327 14465\n4422 5875\n2296 14384\n10173 14326\n5594 7957\n5886 9037\n9823 14469\n3862 14605\n2792 7423\n4258 14120\n8767 9735\n1427 12208\n11866 15325\n8334 15160\n1482 14903\n1716 9599\n3444 10492\n424 1771\n4153 11050\n136 4858\n7135 9261\n7420 14052\n3206 13673\n11462 12217\n6031 6126\n2103 14841\n1912 9728\n6551 12440\n4579 14334\n314 1028\n160 3911\n9096 11073\n7230 8153\n9868 11725\n4340 9236\n12093 15539\n4439 10840\n11793 12519\n3472 10881\n1487 5834\n7697 12133\n686 10068\n6897 8113\n3178 13916\n5151 8167\n7824 10733\n2140 2184\n6744 13082\n10470 13162\n4845 11553\n4134 6645\n5500 5771\n173 10716\n528 2221\n12789 15660\n7270 12152\n12879 13473\n15388 15543\n4130 12163\n1245 6630\n1568 7707\n3072 15135\n7676 12321\n3060 7621\n1466 7112\n5899 6460\n540 10419\n11852 12335\n9164 12429\n2882 7100\n7541 10997\n187 7741\n1847 2164\n2936 14813\n4262 15099\n3323 14535\n6750 11040\n1038 2248\n2673 11296\n7418 14184\n5235 5612\n11621 14816\n3020 4109\n3773 4301\n9168 9230\n864 11563\n11955 14165\n7479 14183\n3054 13440\n8009 9039\n1892 4786\n9862 14826\n2496 5034\n2786 13893\n1874 6074\n7583 12460\n7523 8756\n9869 14565\n2297 6117\n851 4442\n620 9815\n5450 14914\n5532 15233\n8977 9269\n2806 4983\n5877 6493\n9858 12129\n837 11891\n417 599\n5810 15256\n2664 10366\n4336 5107\n2512 14832\n9460 14425\n2915 10752\n4987 11009\n2093 2203\n4400 8002\n9048 9888\n9146 9944\n10812 15022\n3604 5929\n10368 12258\n3057 3874\n1947 12676\n7604 11987\n5657 5904\n3389 9094\n6256 14940\n5948 10334\n2146 7335\n2173 6581\n1663 15201\n9176 11114\n35 13099\n10136 14847\n4595 4792\n4274 10723\n4466 13809\n400 3640\n11194 11913\n5107 14606\n9998 13912\n10948 11527\n11564 11977\n768 10682\n3384 13883\n8803 12713\n6810 12957\n1878 8197\n3601 3951\n7040 13831\n2876 8036\n13341 14440\n1127 13784\n1982 5335\n6223 10412\n812 9058\n2499 5986\n4859 10077\n9492 14163\n85 9285\n3610 10132\n5330 5516\n8639 12893\n4489 11299\n107 13108\n4862 5976\n10940 13109\n2339 7116\n430 11460\n2936 10537\n1721 15252\n11135 13914\n409 568\n9952 13832\n3899 7973\n6569 15029\n3790 12888\n633 9063\n5793 9680\n2896 11799\n248 9917\n6912 10127\n520 6443\n4723 7240\n8189 11947\n442 9123\n2335 10982\n511 5849\n1335 7751\n328 9805\n5314 9820\n103 453\n4659 9423\n27 813\n879 6717\n4067 15474\n3974 15435\n4505 14565\n4973 14583\n3304 13079\n2252 14707\n9103 10169\n8176 8454\n6127 10598\n1211 5351\n2565 6290\n11462 15620\n2582 3073\n7707 15487\n1352 4913\n10706 13806\n7119 9647\n1128 5866\n3360 10778\n14275 14666\n3743 5738\n562 14066\n9141 11933\n333 15228\n4046 5812\n4324 9908\n6139 12929\n3221 4631\n1993 3901\n1468 12178\n11289 13548\n1103 11617\n6696 9286\n9464 13864\n637 3734\n797 8134\n3805 13912\n5363 6525\n6916 13084\n2237 3554\n14441 15262\n1093 14608\n2257 2671\n6423 11898\n2417 2559\n5481 5980\n1929 2969\n268 13020\n2504 10908\n2457 8493\n1893 10547\n1697 5413\n1297 3671\n3715 5532\n3864 13089\n5946 15055\n10634 15419\n772 2691\n4430 14022\n8585 11420\n501 4834\n6358 14129\n4704 14947\n694 6113\n1544 3405\n141 12625\n12010 14735\n6009 11192\n3474 4925\n204 5220\n4797 5375\n10084 13552\n9145 9997\n3653 5802\n6944 14059\n11368 14737\n7653 11074\n2964 10192\n4071 10206\n5009 12346\n4354 4609\n5107 8855\n5762 12103\n2200 3212\n416 10001\n8380 11164\n1078 2063\n7670 13767\n10318 11126\n4785 6148\n1195 9760\n903 15614\n11890 12592\n7177 12845\n3050 7882\n3152 4850\n8769 13555\n11647 13764\n875 5106\n738 10762\n306 6926\n4485 13959\n2037 7479\n7804 10144\n3812 15616\n685 13070\n1721 7836\n4449 12582\n1030 10500\n3040 5716\n6985 10662\n3089 4100\n7994 8902\n4890 11595\n3684 9223\n5691 7099\n11310 12168\n6061 9883\n445 5271\n6461 11141\n5897 9723\n9786 10141\n5547 13636\n8036 13157\n2432 2646\n1903 13900\n5285 5579\n3690 7569\n6542 7941\n3422 7874\n10692 14139\n35 3869\n6013 12589\n152 12028\n6826 13565\n9265 11334\n2376 10870\n2848 8680\n6118 7826\n12019 13955\n3922 10766\n1958 14957\n921 14065\n666 12539\n1231 13560\n4147 10935\n3966 10220\n3384 4126\n10835 12179\n6205 7895\n11742 13204\n2743 13441\n3267 6421\n14725 14892\n2635 3499\n6551 10866\n816 11379\n9934 11231\n1680 12078\n12897 13421\n6379 10294\n4146 7054\n3892 7863\n10929 15634\n8840 15176\n9798 14530\n691 1174\n2509 5746\n6435 8558\n1090 10713\n10789 12335\n6707 14992\n1620 11644\n2180 3256\n1905 3715\n1454 5103\n5856 15633\n10146 11946\n1178 4939\n6036 7744\n2264 13505\n5383 8625\n8485 8826\n8038 13911\n1207 5427\n13080 15623\n5786 6758\n3691 5305\n2110 2547\n7105 12704\n5725 7371\n8076 10679\n3271 9149\n2265 12153\n2782 15623\n6058 10485\n4134 12037\n4815 12897\n1576 5590\n2062 12369\n9228 13669\n6664 15576\n4648 8218\n427 15291\n3523 9774\n11849 15401\n6869 7255\n4316 12426\n6980 12096\n1288 14698\n8981 12532\n5770 14687\n5638 13593\n742 2404\n8536 14910\n7916 13850\n417 1468\n9123 15373\n2322 8722\n3745 9525\n3531 13310\n7385 11648\n13056 15132\n6725 15492\n11238 11274\n1080 6926\n10499 11617\n10327 11803\n2773 3260\n1549 7761\n10756 14124\n2546 12712\n1674 6021\n3366 7493\n6933 12593\n1289 14622\n2782 3209\n1578 15239\n5685 12826\n3278 10342\n3858 6035\n7560 11001\n6288 10316\n11768 15257\n3574 11136\n7021 13774\n1547 8034\n205 10337\n330 11581\n8570 10560\n4504 10686\n10938 11422\n56 84\n10861 11712\n1495 4677\n1161 13107\n2350 14605\n1456 2181\n6888 11835\n12459 14494\n6248 9036\n5541 7294\n9822 12872\n4383 8731\n8829 9919\n3094 5895\n5945 14459\n6922 14292\n3491 5015\n7693 15502\n8560 10196\n9076 15531\n9641 10804\n7444 13335\n197 13303\n4625 6781\n414 9814\n1563 6219\n1648 11399\n9145 14661\n243 5314\n5530 10199\n3776 10622\n1380 1860\n759 6271\n273 10715\n1041 2082\n4837 5535\n635 5463\n9089 13698\n3775 4091\n9494 10609\n14820 15386\n1492 15263\n6465 11740\n11703 13180\n10714 12229\n2520 3904\n1807 15212\n7768 14246\n2744 3634\n10362 11349\n1150 3317\n11267 12620\n4832 13168\n1796 15365\n9580 10698\n1890 8978\n2343 11038\n1960 15622\n945 1522\n4742 4773\n10790 13725\n8934 12050\n7674 13607\n2374 13857\n7882 10091\n2722 3260\n2021 2768\n8062 13447\n595 13997\n1362 3128\n1238 9010\n14249 14379\n6881 10245\n2607 3411\n348 13728\n2661 12660\n3306 4726\n13369 14954\n3187 11282\n1241 6371\n7661 10215\n4463 15480\n3569 7790\n14116 14580\n5046 6614\n338 14421\n338 6481\n1436 6820\n5787 8308\n8498 9891\n7290 9838\n10820 14714\n947 1407\n2362 4541\n3354 4976\n5888 9996\n2667 14544\n1883 7313\n1482 3320\n3129 8059\n2403 5639\n6641 10113\n3502 9075\n3166 13522\n1572 6172\n2537 7220\n4055 14612\n7498 9382\n3847 10906\n4771 5677\n1083 8078\n15267 15301\n2373 6746\n10512 13939\n212 1400\n6876 8008\n3350 14194\n6155 9859\n5247 14221\n7331 11951\n11050 14434\n9304 11011\n9067 13013\n786 819\n4807 5449\n2010 7864\n2956 3653\n2063 7575\n12412 13409\n3356 8533\n5522 6175\n331 14455\n4888 7489\n275 8405\n2162 14517\n2203 8733\n13704 14849\n4078 14435\n2520 13877\n2528 15080\n1609 10841\n9356 10744\n5668 12500\n12093 14707\n776 4991\n2985 10462\n1769 13922\n1568 11156\n11571 11847\n4501 13985\n1565 14911\n6325 9407\n5323 14451\n3511 14168\n8906 9856\n4116 7294\n7539 10076\n3782 10725\n785 15054\n3616 9634\n8912 14032\n5565 11734\n95 2516\n5861 6323\n11974 13645\n9986 13561\n6174 6511\n4015 9568\n658 11492\n164 3211\n10173 13793\n1761 15273\n1336 4978\n677 9868\n1910 5757\n4437 9643\n5352 8366\n6244 9157\n701 5307\n6549 11644\n6672 9092\n6711 12080\n5957 9116\n2630 3210\n1569 3286\n10802 10963\n9061 10247\n6316 9251\n8825 12015\n4388 5015\n4248 10066\n4671 13205\n5633 10159\n1897 9621\n2005 7614\n8684 11156\n2307 11566\n8072 15136\n9294 13359\n7963 12952\n4917 14852\n6210 13775\n4449 5738\n1724 11399\n3397 6061\n11341 11830\n7945 12715\n1584 11222\n2083 11395\n10184 14996\n8855 10305\n1393 7479\n3714 8100\n4749 8772\n7259 14408\n11292 11958\n2653 14621\n7701 13371\n8913 12171\n91 11021\n12443 15442\n14066 14114\n7490 8559\n836 6406\n855 5193\n9197 11626\n8622 11593\n8431 11243\n2381 11147\n1287 15540\n696 12638\n5632 9915\n2860 9468\n3438 8366\n2969 13205\n4285 15521\n5152 12504\n10128 15311\n1466 3926\n1140 4482\n7306 10017\n1894 2480\n3205 13891\n3055 6823\n6039 15045\n7782 13373\n7248 13957\n589 7893\n4380 14888\n9913 13908\n1883 11094\n3346 6534\n3516 6398\n7516 11316\n4701 13696\n2299 13464\n1125 13050\n3916 14998\n6144 6649\n9649 15615\n1845 14339\n4935 5002\n7601 12838\n4237 14771\n5655 7565\n6790 8882\n2791 10431\n19 11225\n10186 10202\n14914 15659\n2831 7110\n9939 14818\n3607 6159\n1502 2079\n8616 10246\n5031 14296\n7873 15505\n8457 11550\n1596 5436\n10549 12575\n1637 8195\n11151 11839\n4710 9246\n5204 9060\n3943 13435\n3822 7910\n5524 15441\n6768 8923\n7602 8589\n1380 10745\n49 12018\n2714 2956\n13360 14585\n13381 14862\n364 13539\n1443 15237\n9141 12914\n7052 10770\n1172 13594\n11745 14216\n1601 14975\n1018 13874\n7168 12448\n11633 12912\n8788 15582\n3947 5849\n10092 13471\n5579 10849\n3626 13040\n2581 8719\n2080 14199\n5674 7923\n8176 15157\n1913 6633\n1876 13146\n13379 14134\n2514 8707\n4633 6842\n4788 12649\n473 5360\n9323 12421\n7799 11780\n6724 11157\n2602 10002\n8442 14505\n4066 14383\n10041 14564\n996 2736\n3668 14302\n5039 8316\n10691 11552\n7369 14087\n12780 12847\n1486 15093\n1887 3628\n5516 10531\n2374 12453\n2816 3590\n6545 13046\n6400 11384\n8325 9873\n3432 6988\n6763 9750\n8437 8748\n1617 13756\n226 6741\n8959 12747\n7299 15434\n10663 10696\n1358 12826\n93 4982\n652 10187\n3339 4770\n646 13293\n1661 3901\n6109 9395\n11689 14882\n9941 11790\n29 13253\n2290 14726\n5919 13382\n241 11925\n5686 13779\n4696 7378\n8682 15099\n1117 4792\n7446 15076\n338 13269\n1670 14287\n8992 11961\n7005 13664\n3397 12757\n7757 10491\n2262 13536\n10004 10785\n4032 10557\n1256 13235\n10186 12049\n13045 13258\n1424 12653\n10270 15640\n5762 10446\n6408 14388\n9689 11851\n6796 10847\n5679 12196\n3322 3369\n13631 14623\n433 14020\n11440 11777\n11026 12088\n1887 2555\n3657 13697\n8224 15323\n3910 8497\n14391 15213\n6104 9024\n4183 10740\n10880 14109\n367 1098\n10720 15078\n8918 14106\n3442 6147\n5502 7904\n1017 9815\n5957 14141\n6969 7638\n7210 14394\n2372 7482\n1940 4596\n3036 6490\n2694 12499\n9628 10675\n433 5565\n2855 15441\n2089 6163\n1618 10406\n7401 11867\n13184 13466\n9473 9606\n1879 12010\n4816 15230\n10020 11182\n6058 11104\n11537 11995\n10194 13821\n2805 11861\n459 4115\n6799 14449\n2409 13250\n2044 15364\n47 12043\n6520 11455\n3031 8338\n4047 6600\n581 8298\n4206 7138\n479 2650\n5203 7713\n5462 13296\n4504 7608\n4744 7063\n6006 10930\n9327 9522\n6646 10712\n5081 14332\n7543 11706\n4593 7134\n2349 6445\n6389 11107\n2303 9987\n9626 10635\n10625 12699\n7008 7066\n11647 15612\n7928 14282\n13680 13868\n1630 2198\n4948 15422\n349 5112\n8321 12724\n13622 15443\n2817 13281\n904 2129\n5481 7882\n11965 14173\n909 963\n2140 5103\n128 10131\n4721 13983\n130 6548\n10864 13336\n514 9619\n7725 14427\n704 9811\n419 8382\n9234 13192\n4969 14162\n693 13307\n513 13508\n4087 4503\n54 4804\n7089 14036\n14122 14306\n108 7732\n1389 2782\n1902 12131\n224 6210\n1580 9012\n1559 4181\n1057 1323\n6565 14774\n12390 14733\n6778 8831\n2899 7839\n13368 15490\n1000 11859\n3462 13216\n8305 14857\n9671 14803\n6581 7326\n956 12216\n3511 4152\n782 11573\n3317 4424\n5270 11139\n777 12356\n2408 9422\n615 3806\n2093 14236\n9310 10337\n2682 9705\n683 5109\n2317 10130\n13929 14193\n125 5565\n7977 10207\n5842 15191\n5788 9409\n13687 14231\n2381 10020\n7215 8988\n5090 9292\n727 14741\n1745 13560\n5279 13670\n5108 11422\n8379 9865\n5068 7394\n7770 12389\n415 11795\n2080 2451\n8589 10219\n11264 13466\n7054 12187\n90 8481\n4848 5350\n8863 13437\n9197 14807\n604 13788\n5619 8162\n14906 14992\n3417 5447\n11798 12320\n2300 6910\n5842 13739\n2148 10367\n1073 3722\n2935 11621\n859 5662\n6791 7549\n409 15643\n14187 14771\n1702 11445\n8290 10443\n1114 13370\n5252 9579\n7193 8072\n10833 15214\n5812 11975\n709 5622\n3611 7911\n7248 12346\n2010 2157\n5553 9031\n6024 10482\n5598 7229\n1232 5309\n1284 13713\n6963 11964\n12317 12464\n4219 14181\n6530 8592\n11977 12632\n5873 10039\n1935 9255\n9124 12048\n1892 3832\n3457 7311\n4890 8022\n7348 9886\n8148 14901\n2570 3721\n7953 15005\n7521 9389\n4580 13319\n7079 14735\n3287 11883\n1351 8773\n11138 11503\n11792 13670\n6075 12478\n14096 14188\n2320 13343\n587 1157\n2495 12333\n14577 14849\n6390 8217\n3651 6348\n11223 12335\n1816 2206\n14716 14847\n5754 13144\n9989 11530\n12936 13705\n2513 11880\n12408 14839\n10386 13405\n12577 13785\n14571 15246\n5722 9252\n5236 11577\n12539 14141\n5569 10340\n9293 11452\n2973 12951\n1069 11200\n8215 12495\n3970 13282\n13597 13852\n9274 14842\n7749 9622\n10365 14436\n1913 2765\n403 10515\n8327 13123\n9771 10195\n12137 12949\n3479 7653\n6348 7027\n2958 5281\n4375 6564\n2849 14223\n5332 9084\n10626 12542\n3286 5971\n3222 11640\n7481 11114\n3928 15610\n3626 12995\n6024 10404\n4075 9558\n6388 7412\n5507 5932\n233 15227\n5001 7334\n4777 11293\n3661 8678\n4026 11070\n7893 8006\n1538 3110\n8549 12945\n1498 13011\n12380 14503\n1205 2384\n2139 4776\n9312 11039\n2867 14878\n207 3828\n2093 8477\n1707 12142\n540 5767\n6406 9975\n1938 4304\n11063 11654\n9926 12998\n8248 8627\n961 11881\n7542 8635\n6599 10885\n13182 15486\n13030 13120\n11694 14281\n12462 14027\n8927 14462\n1216 1600\n7159 14845\n13885 14183\n7585 12061\n572 14895\n5589 12696\n10538 14892\n5726 9176\n11386 14234\n8407 9918\n6411 13340\n3251 4217\n9631 12883\n2606 9317\n7734 8818\n8983 12388\n3266 13150\n3546 12733\n5520 15578\n10367 11185\n1587 11763\n10936 11939\n3546 6888\n711 4716\n11454 12620\n13501 14845\n10963 11471\n8835 11533\n8159 11600\n11717 14982\n2225 13070\n8745 13976\n3687 8359\n3670 13348\n2583 12896\n5357 6520\n3529 12742\n11865 13366\n2746 10150\n13495 14436\n4227 5178\n160 7872\n13864 14257\n454 5616\n3348 14874\n2838 12013\n11706 12399\n3548 9736\n2401 5577\n13767 14925\n1 11599\n2545 6249\n3454 3484\n7463 11807\n2339 8416\n9814 14790\n464 8026\n10669 11551\n13872 15461\n4358 4780\n5610 8670\n13045 14952\n12649 13523\n13370 14469\n5998 14475\n8022 8279\n7128 10158\n12749 15327\n5045 7966\n9855 11638\n6077 14838\n7593 12157\n2172 7741\n2812 9579\n5689 12994\n2529 14137\n3420 12627\n3295 5431\n9932 12008\n11110 15492\n12196 14559\n1567 5447\n3505 12359\n8807 10587\n581 2338\n2284 9387\n3927 5433\n10292 15302\n250 388\n1029 10949\n5497 15276\n2358 14820\n1569 13838\n56 6677\n11110 11901\n4616 12761\n10740 12187\n5161 7790\n3837 10193\n7741 12958\n6535 13759\n3531 6871\n4842 10681\n4920 8243\n5127 14791\n10206 13000\n5527 13379\n3601 8423\n940 8149\n2032 5358\n53 8888\n10968 13083\n1402 1619\n9600 13910\n10107 12423\n5969 6011\n10527 14689\n8501 14435\n7004 14507\n834 2719\n2655 7753\n3060 6947\n3206 12690\n3592 14874\n1762 9239\n5434 11860\n4065 6961\n8379 8416\n5650 15522\n7467 15606\n11687 12426\n8155 13107\n3272 8683\n4700 9769\n6570 8647\n2716 7860\n458 3137\n112 13633\n441 4071\n6772 8877\n1329 11716\n11738 15255\n5570 10311\n1110 12974\n2192 15255\n4698 6367\n3427 10882\n11665 14115\n2847 8707\n2988 15048\n3932 12521\n2625 5090\n4307 6500\n8741 15633\n9225 10700\n655 9943\n12643 14375\n5109 11232\n1353 1854\n1617 2597\n6151 8594\n269 2397\n3316 4742\n7381 9376\n7258 12189\n5028 14350\n13366 15604\n12292 12297\n1930 8332\n7178 13200\n4149 11155\n5696 9914\n2115 4474\n2389 11431\n6248 11255\n2043 2209\n4115 6627\n6783 14586\n7619 14432\n9141 10142\n7405 9462\n9621 15014\n8239 14865\n4474 7294\n12059 14265\n569 14848\n5827 13703\n1121 4200\n7999 9108\n5330 6653\n3231 9395\n8743 8832\n11810 15019\n862 6381\n5734 8299\n4334 9973\n1627 14576\n8557 12332\n2800 3433\n8950 12787\n512 10132\n5482 13840\n2115 8891\n7371 7816\n2409 12619\n1480 7786\n594 15569\n2336 12727\n1002 5977\n2662 5984\n2559 8049\n9711 10943\n9484 14581\n11530 13605\n308 13283\n8946 11442\n6529 10481\n6325 10747\n9650 13856\n7226 13449\n13176 13664\n1439 6208\n5770 8889\n6083 8761\n7094 14529\n5008 9321\n2895 12532\n2928 5155\n1262 15278\n5424 12750\n8720 10380\n2923 10656\n4091 7530\n13915 14058\n12388 12750\n1786 9478\n11300 13221\n3340 14955\n6818 9369\n3056 3673\n13807 14125\n13881 15659\n2991 6052\n1524 12745\n1691 12624\n3459 9402\n5011 13979\n10782 12271\n1199 5964\n3634 7824\n1796 6071\n2054 9791\n3043 7302\n10060 12870\n4340 10136\n13157 14036\n90 2214\n6673 13080\n12969 13568\n4187 11822\n12147 12756\n1737 10003\n2027 14468\n6058 10518\n190 13086\n393 8041\n2493 6150\n392 9972\n7847 11589\n10366 11744\n7894 10352\n6981 12264\n3107 11165\n7457 14769\n4549 7111\n5233 13491\n425 10630\n4426 7958\n2866 11416\n6240 11491\n2824 6487\n3573 4920\n6816 9297\n6520 8745\n1505 1780\n1045 4634\n903 15170\n860 3765\n15070 15572\n2208 14494\n8755 14290\n11030 15044\n9381 12469\n10072 11262\n7783 10572\n3235 13080\n8160 9040\n214 2239\n4553 11193\n6125 6295\n821 3902\n9265 10782\n1478 15188\n12539 15541\n1780 5402\n2822 15403\n617 2291\n12373 13918\n7208 8301\n89 10892\n10417 15054\n5013 11306\n6528 14091\n2696 10342\n1492 13279\n871 5329\n4566 7172\n174 5429\n8236 14528\n8842 10152\n4923 8905\n70 9936\n8071 14946\n1214 2817\n254 10160\n7509 9497\n7410 11656\n1402 5476\n1862 9682\n2770 5117\n5028 12974\n628 6439\n202 10411\n11771 14553\n3835 7590\n1513 14767\n6712 7659\n5920 11136\n573 7291\n9294 11811\n2878 15145\n2180 13024\n2164 11622\n8399 10011\n7610 8579\n806 3513\n5208 7508\n1728 3051\n10006 15075\n4904 8638\n2879 15134\n2040 10947\n6315 15047\n14643 14958\n2821 14861\n507 9606\n2561 4132\n7157 8674\n764 1389\n12161 15644\n5171 6754\n7937 10593\n6595 7610\n9073 13930\n1287 10965\n11489 11983\n1542 6164\n6109 13913\n9108 14098\n4608 12509\n10535 11436\n13453 15479\n2027 9751\n892 7091\n10479 13590\n2311 12699\n4939 13919\n257 453\n10507 13611\n10971 15111\n6666 12954\n1930 2696\n9878 11059\n1705 9580\n3549 3828\n33 10672\n7597 12714\n7224 13763\n4741 8166\n5667 13658\n8409 12060\n270 5491\n7676 9294\n4382 7493\n513 14738\n4681 6952\n978 5297\n12216 14048\n3753 9671\n8292 8534\n1550 3263\n2348 8012\n2641 3170\n3663 8226\n2751 13058\n2858 7471\n6142 14404\n7193 12613\n8757 14970\n3174 4462\n230 8239\n12606 14566\n2233 2990\n12843 13324\n3 1887\n2173 11790\n1133 6728\n7928 9032\n5268 13098\n1107 11993\n1572 13913\n845 13729\n5750 11530\n5633 6642\n10483 13562\n9862 10354\n8929 12741\n2228 11847\n4774 8273\n2283 4919\n2594 5857\n1134 14273\n10265 13918\n3572 11573\n6066 8917\n522 8015\n1183 8951\n3609 11071\n2717 8297\n2054 11376\n8973 10704\n1661 4769\n2458 3226\n5922 8689\n6982 8495\n4967 13933\n3475 11619\n7650 14894\n10515 12064\n5061 11509\n7186 9259\n5937 10669\n3775 14372\n539 5511\n4239 11900\n3958 8170\n11304 13256\n4350 10709\n7786 11681\n3479 6471\n3201 15374\n3503 11637\n8278 13707\n5276 9664\n1432 11956\n8144 12695\n7149 14018\n5949 8131\n10659 11673\n2191 5094\n1447 9743\n6733 7172\n12240 14970\n3852 10133\n9156 11849\n6093 12746\n3482 6697\n11347 14628\n11479 12753\n12147 13435\n9965 12201\n5283 9214\n2906 14432\n2835 10197\n3834 9838\n3964 9015\n3722 8189\n7844 13786\n6354 13876\n7857 12077\n4805 11744\n8610 14848\n5940 8868\n1353 4426\n1514 2362\n6070 8729\n164 4948\n9459 11072\n2320 11903\n1969 8681\n2853 15095\n12602 14155\n13697 14952\n1731 4846\n2787 6326\n12989 13539\n5570 14601\n5684 9808\n2766 8009\n3272 4514\n2047 11108\n3141 4281\n3365 7474\n3626 5250\n8451 15623\n2802 7812\n195 1806\n9378 13656\n1676 7759\n8998 11231\n1994 4830\n3889 14915\n7439 9219\n3913 13896\n10880 14048\n4753 5369\n5843 8240\n4267 12798\n322 15077\n10103 10826\n4218 15080\n7120 7765\n3080 3651\n2524 15505\n634 9621\n9357 10761\n4869 11400\n8309 9839\n198 10624\n7580 15638\n232 11615\n9617 11394\n1587 4417\n7835 12091\n6928 11209\n6539 9905\n5593 13060\n7637 14897\n5909 14159\n9590 9909\n7335 14301\n12053 13913\n6383 9888\n2237 8563\n11008 11408\n3768 5658\n1318 5446\n8854 15207\n7597 8859\n5800 12028\n3579 6247\n482 3939\n7145 15183\n1685 13782\n1065 5953\n5828 15620\n11536 12379\n1109 15626\n11048 12784\n2403 10953\n4614 7329\n13442 13762\n4666 10827\n6381 9607\n8178 15616\n710 11576\n2698 8746\n3023 10929\n2492 11789\n6863 7109\n1507 11379\n5892 15158\n7091 11034\n3962 9249\n4755 15001\n1158 1543\n1074 10909\n4210 13686\n962 11409\n5114 8462\n4009 12695\n5576 14279\n1126 7968\n5733 9984\n12906 13941\n12332 14794\n3439 8947\n1115 9401\n4686 5517\n3074 6134\n4097 7422\n3980 11566\n1546 13497\n3517 15603\n9678 13771\n632 3920\n4860 10649\n7215 14219\n8966 9228\n7336 10479\n4784 9894\n2305 13553\n368 2375\n5096 8081\n9157 10237\n4569 4663\n835 13296\n14736 15413\n5176 8956\n328 12678\n990 15527\n2820 14201\n6643 11994\n2957 6351\n728 14193\n6259 13141\n4222 7160\n4599 9811\n9886 13839\n726 3747\n2591 7839\n4478 8922\n8795 10340\n2580 15209\n2869 5759\n154 11845\n1128 14259\n4299 15617\n3733 10085\n1750 14710\n5335 14852\n5484 11842\n1854 15146\n3635 3941\n511 11600\n7543 10641\n8768 8889\n4176 14730\n3271 6357\n1552 6039\n3428 15516\n10039 14610\n909 3198\n9031 13146\n5685 11447\n1303 7222\n11171 13210\n7545 15531\n10831 13776\n6521 14520\n3036 5985\n5970 8326\n5329 11562\n6455 14820\n888 15659\n8514 15105\n10119 12184\n3809 9317\n3753 10783\n526 2682\n4391 11491\n3283 6345\n9569 12119\n41 8808\n8812 9945\n4028 15457\n2601 6657\n4612 13903\n1178 2834\n10771 12334\n6341 13354\n1254 6098\n13943 14970\n851 1805\n8240 13554\n5280 13052\n6888 11525\n1982 3842\n5996 6118\n4526 13947\n11546 15080\n2199 13213\n6011 8692\n4124 13009\n11837 15023\n4419 14473\n1269 7498\n12824 14379\n972 7910\n2338 11195\n2222 15469\n14115 14414\n7603 13929\n7211 7843\n10079 15522\n8464 15223\n3866 4498\n4851 6911\n7484 10159\n5347 8270\n3222 11222\n128 9588\n6999 9719\n3100 13942\n396 11489\n3965 10329\n3359 10315\n8122 10832\n1449 5785\n1788 11901\n2561 13949\n3958 8739\n4821 7347\n3799 6794\n5495 8397\n1848 9586\n10058 13553\n9467 10230\n14377 14840\n8455 11037\n14906 15309\n2456 9562\n1659 1822\n4395 10072\n1664 14179\n414 1400\n2579 3480\n6759 15332\n3069 11302\n9012 11040\n1846 4620\n527 2837\n11911 13404\n4843 10788\n10418 11778\n6895 7296\n639 4694\n1021 8287\n2113 3178\n898 8683\n2524 5962\n10222 15249\n8010 12423\n4239 4754\n10535 10698\n3338 6902\n2325 13004\n13132 15383\n380 11739\n4524 5420\n7145 10012\n3838 5481\n7842 13085\n9938 10488\n8164 13476\n7150 10833\n1736 3042\n7110 14279\n5582 9863\n8349 12659\n9294 10836\n4336 8142\n3701 14989\n5058 10246\n2557 12818\n3334 14408\n717 10385\n4181 6703\n8727 13438\n2500 14690\n4558 5037\n1108 2513\n10837 15097\n3266 9617\n5096 11961\n1945 2870\n2854 10326\n5091 8568\n166 7215\n2209 9021\n8 7963\n13491 14482\n5688 13016\n4474 15502\n1997 15195\n8558 10949\n2891 11264\n4439 7811\n551 10357\n7199 9077\n355 1447\n3272 7148\n9334 11532\n4615 14034\n2458 13485\n1467 7764\n651 12655\n3509 8263\n5405 9768\n3734 6781\n9361 12154\n37 10368\n5587 10048\n7402 7461\n5804 6252\n2924 15145\n3137 10786\n482 6563\n9563 10441\n1736 12782\n1944 4917\n100 13836\n12594 14134\n5276 14372\n6082 8114\n6713 13569\n7438 8074\n1315 11161\n5429 8271\n9770 12811\n1086 4990\n12247 14424\n6620 9513\n4302 6075\n1782 3677\n9317 10730\n10247 13027\n467 12068\n5557 12755\n11567 12922\n4249 5494\n8555 11872\n1624 10499\n3204 4704\n3832 11921\n5740 12536\n7601 14753\n10723 11253\n3318 8453\n8350 13946\n13802 14140\n11065 11451\n1234 11309\n2306 3994\n7011 8765\n12534 14063\n5008 8583\n161 12828\n4306 13320\n5795 7407\n1919 14717\n2113 10068\n1512 5231\n3398 12817\n322 10947\n2952 4071\n6920 8013\n1566 10918\n4032 11173\n7518 13137\n4095 8959\n948 2825\n3556 5534\n155 6922\n4707 7213\n6832 15445\n10124 12800\n12142 14904\n9408 10593\n8636 10922\n1914 3380\n1263 2199\n459 6918\n331 5697\n8784 13938\n3655 11938\n10375 11549\n9191 11069\n7777 13411\n7589 13093\n3900 4059\n2816 3391\n12261 13446\n1000 11092\n5052 5497\n6180 7400\n5804 14371\n6428 12288\n8534 14351\n4807 6667\n2146 5350\n2462 2698\n1742 12111\n3254 11396\n184 14359\n5306 14256\n1761 6576\n2242 3119\n7634 13035\n5869 8892\n2193 6831\n3455 11668\n6481 9092\n4911 9674\n3088 14131\n1118 14870\n10532 11102\n649 2740\n7486 13485\n5256 14571\n6409 9918\n14643 15495\n9818 11888\n6842 12325\n2966 5710\n6387 11850\n5803 8694\n4216 15019\n4277 12870\n1473 13984\n1509 15630\n5262 14053\n1950 5567\n5081 11416\n10798 13926\n2326 10181\n4341 10762\n12510 13316\n5372 7895\n2861 13366\n1629 13795\n4536 13209\n2231 5080\n4969 11610\n11773 13288\n14277 15024\n6307 12486\n9593 14228\n3930 8913\n5015 9676\n1551 12197\n9690 13927\n789 2862\n4674 14834\n1589 11314\n1677 13759\n4480 7134\n9732 12024\n7097 10976\n5463 12010\n5462 5772\n3602 8881\n7185 14356\n5210 11944\n11544 12036\n4683 11249\n2324 4558\n5130 7519\n7067 15182\n747 11315\n5203 9736\n12219 13616\n1166 6971\n1992 5582\n5073 9486\n1701 4773\n4446 8819\n4292 14434\n1188 14396\n7935 11451\n3398 3955\n147 8950\n7254 7272\n5578 5990\n2436 9059\n8023 15171\n2163 8697\n1065 2284\n2324 7504\n2071 4633\n13556 14370\n6805 14695\n8017 13245\n3729 7110\n166 6372\n2710 4869\n2146 5183\n8185 11790\n218 12053\n6875 10440\n2433 8712\n8301 15155\n6647 15379\n4640 11046\n5219 5867\n12334 14099\n1853 3599\n7821 14032\n5343 7828\n3326 6386\n6939 9664\n10518 15655\n3059 10804\n7158 9233\n3347 14379\n2497 9682\n7554 12893\n6573 13795\n7773 11163\n371 6023\n180 11785\n2662 15018\n2450 7913\n3298 5669\n2734 14257\n5105 11001\n11488 13814\n6017 11514\n2339 9349\n4302 7216\n9896 11398\n985 8891\n2447 13524\n5197 12502\n7320 12973\n1540 11486\n3033 3859\n13658 14814\n9539 14756\n1883 11524\n255 2619\n783 1034\n10481 14337\n8224 11043\n5951 7328\n3658 8668\n7819 13983\n2848 8600\n1446 9389\n8374 13554\n13563 15578\n2394 14101\n3367 8918\n4687 9617\n1488 7167\n7499 13296\n6143 9221\n4559 9133\n10325 10343\n1161 1594\n2285 12101\n2603 14384\n7676 14369\n5579 7351\n657 5929\n2959 3040\n9815 15339\n110 2192\n848 1898\n8655 12624\n356 13686\n5986 7786\n388 1196\n507 10577\n15 4480\n4973 6246\n1470 9564\n13775 14506\n5286 9373\n978 11954\n6608 12769\n5169 14190\n12656 14002\n6111 14248\n4009 6202\n4604 11772\n7004 7213\n4569 5914\n6401 12086\n14749 15512\n5670 7463\n1900 14669\n8515 14606\n9313 13060\n2823 14135\n10305 12689\n6072 8708\n4292 6071\n1575 11519\n10918 14644\n7498 11927\n9689 13459\n3773 11223\n8029 8576\n3870 8516\n286 9406\n8427 10519\n10668 12898\n5469 5556\n11995 14211\n4606 5344\n461 5338\n2785 8141\n7776 12776\n422 14956\n2885 13264\n4051 5823\n9323 11371\n15360 15419\n2572 3041\n5309 15277\n8932 10104\n1184 10809\n8142 9624\n11342 12731\n2578 9516\n3422 8031\n6612 9882\n5424 14745\n3811 12226\n7529 8916\n5933 9622\n800 4658\n4699 12878\n4283 6446\n11260 13015\n1644 15310\n1007 1532\n6225 6594\n1269 2483\n4383 14108\n3484 11477\n9466 11718\n5066 13962\n2152 4034\n5232 6353\n2091 13191\n6282 7100\n8333 15631\n1251 1780\n13460 15645\n879 5431\n8122 15339\n460 14815\n6938 10799\n4929 10451\n4008 12453\n8496 8988\n11073 11791\n2717 12606\n6423 14847\n4486 10505\n468 5311\n4661 4741\n4874 14941\n10010 12935\n1531 7390\n10627 15428\n12563 12641\n3185 10045\n4050 6209\n8665 13684\n7867 11095\n15475 15651\n3517 5294\n5341 9658\n13731 14346\n1845 11402\n3640 3914\n9680 11340\n5295 15574\n7353 14440\n5015 14847\n356 10558\n184 14535\n3898 4983\n4492 13575\n2842 12619\n10764 12223\n8150 9392\n1270 10915\n2907 13807\n424 4013\n2927 12201\n6238 13144\n4353 9621\n1880 5715\n11877 12293\n2096 8380\n6635 8030\n7880 13928\n3892 13098\n2652 3046\n12757 13037\n6392 11057\n213 4650\n1731 1746\n3707 11029\n7657 13528\n10325 14363\n2579 10219\n3225 5518\n8393 15579\n1496 12769\n2877 14084\n5451 9926\n1535 4709\n10579 13087\n7005 8462\n3102 4718\n8120 8828\n218 3794\n10117 11441\n9824 10389\n3286 12479\n7279 13799\n6801 13027\n3514 11469\n2384 9459\n12864 15326\n1742 9155\n1983 7817\n2786 11408\n13174 15308\n4035 7945\n9778 10045\n540 773\n4807 4965\n12334 13886\n7879 8021\n6362 11740\n12086 14748\n6120 14813\n1083 14931\n948 8905\n1651 8538\n2646 3455\n13655 14208\n11861 14318\n6408 12376\n7926 12194\n9074 10324\n525 11363\n4274 6187\n9787 15024\n15126 15131\n2901 9423\n5984 8202\n4183 9043\n3167 15519\n406 3836\n10888 14259\n377 3886\n10215 10783\n8649 14106\n206 7781\n7541 14719\n3536 3560\n1796 10890\n10865 13368\n4637 5586\n1275 13362\n488 8175\n10969 11208\n6223 9283\n146 12826\n764 5517\n3274 14512\n8806 11730\n5642 11905\n10036 13865\n7454 11375\n678 7528\n3429 12429\n2123 15504\n6719 12881\n8193 11918\n1496 15128\n2112 15330\n6343 15481\n6284 8286\n155 2221\n9400 13834\n7736 7811\n2171 4688\n7138 14153\n687 14797\n7052 10555\n4470 11444\n6122 8903\n4105 5604\n8578 13986\n4822 9654\n960 2660\n5702 6800\n6133 15375\n3994 6525\n449 2244\n6938 13716\n10101 13373\n1494 8180\n4862 14273\n8088 13284\n8001 11680\n3444 5374\n1111 1718\n12853 15217\n7726 8800\n863 6839\n8968 10108\n2216 11999\n10708 11731\n6706 13634\n12071 15338\n12943 15199\n3765 6587\n2176 8219\n7243 9162\n2831 6808\n5896 9271\n3051 3264\n2574 7700\n10041 14481\n10844 11488\n9555 15515\n8144 14845\n8475 13607\n7155 14450\n12016 14984\n4819 10147\n10377 10524\n1993 10671\n4697 5668\n3171 5864\n10071 11769\n2011 8220\n1656 5808\n3749 12097\n8275 11575\n334 4728\n874 10704\n6454 13097\n3702 8927\n7440 11064\n11552 12359\n1397 8009\n10862 11059\n3734 13328\n4792 13628\n5995 12734\n6736 9161\n3975 13527\n3044 12293\n6151 13458\n3883 9418\n777 6631\n11430 13113\n6193 6685\n8117 12915\n9043 13297\n2411 5980\n781 4175\n8074 11882\n4982 5979\n11139 15059\n2792 11503\n14581 15147\n536 8066\n3489 3867\n7871 14714\n10703 13442\n4558 4642\n854 1649\n4504 12374\n8754 13680\n2457 4658\n5352 11236\n8676 10772\n1235 2174\n8276 9705\n2166 14905\n1608 9746\n4449 7560\n2946 4702\n3023 11754\n10520 11679\n7215 15268\n6832 14138\n4218 8400\n3310 9869\n2812 14571\n6076 12151\n12336 14249\n7384 14085\n695 12847\n7236 8895\n4794 11652\n5109 15099\n3000 10241\n10149 13290\n11167 12904\n2768 10045\n990 2196\n3886 10430\n7535 13274\n4481 6210\n488 9625\n4174 12511\n6734 14726\n9849 10383\n2124 2678\n4508 10380\n2364 14946\n756 11921\n5770 13363\n1397 7502\n825 3716\n2855 7154\n2236 8890\n7475 15425\n7358 13656\n3225 7382\n5453 12991\n932 14979\n4930 11237\n13410 15100\n1291 6481\n6413 7396\n12090 12795\n8892 9858\n6688 14567\n10085 11960\n1513 6566\n3991 6690\n7387 13608\n4311 6478\n9891 12015\n3606 13234\n7649 8560\n6194 9557\n3731 6368\n4744 15258\n10663 10770\n511 2116\n1934 2060\n2462 2868\n12392 13343\n11913 14682\n370 7055\n2449 12343\n7967 13414\n12736 13563\n1890 10241\n10294 12775\n6673 13154\n4857 6374\n27 11399\n4189 9619\n8157 12119\n4277 7872\n3872 5589\n1682 13466\n1554 11780\n9085 12462\n12918 13789\n14333 14934\n13363 15060\n5283 14751\n1791 6935\n2499 3662\n13736 14327\n2264 14126\n3628 12033\n2064 14651\n11070 11387\n4625 11701\n5790 8840\n4781 15120\n8299 10571\n6498 10598\n500 830\n14232 15540\n2986 4781\n213 6594\n3599 13777\n10147 10261\n4561 9812\n543 11849\n8201 8691\n14520 15034\n8139 14834\n710 12076\n5585 14999\n9670 12351\n6299 15496\n3621 4771\n2282 8833\n12122 14499\n10700 12851\n3107 9888\n1763 12062\n541 4646\n504 12321\n8081 10318\n597 2498\n1073 7575\n2009 6147\n7084 13612\n5213 10820\n12815 12872\n9792 10237\n5188 13609\n10251 15430\n2651 15647\n2932 4967\n1301 10691\n4412 13551\n7682 15389\n10200 10385\n4488 10789\n840 12978\n5988 7287\n1028 1429\n3016 9665\n6884 9743\n231 4265\n2276 7190\n7376 11967\n9507 14536\n1793 6601\n11881 14372\n9733 12550\n4754 12505\n4329 9387\n65 8520\n6418 8219\n2580 11938\n6026 15325\n1090 11715\n1788 3065\n7350 11021\n8169 12692\n2248 9931\n529 2531\n570 6885\n747 13696\n5451 12932\n9569 9637\n2826 10671\n8065 14451\n6732 9934\n4251 13199\n10181 14936\n10890 11044\n2800 4512\n6280 13801\n4022 13137\n4730 11170\n987 13110\n5214 6038\n11509 12012\n2235 7620\n4509 9967\n224 9102\n3795 7094\n6032 8932\n4700 7888\n4313 8145\n8656 15634\n5117 14898\n10398 13783\n9868 13703\n389 13729\n2020 3796\n4322 4329\n3415 9469\n2572 3831\n2009 3170\n4748 8923\n3353 14384\n6793 8851\n5202 11250\n643 9686\n7736 10546\n1194 8675\n6560 8207\n1667 3354\n1951 11013\n2555 4040\n5463 6506\n369 5272\n5184 14863\n10034 12684\n9655 12930\n847 7583\n1167 3681\n5716 9873\n343 6402\n9183 9886\n8192 10558\n10580 15248\n6384 9750\n7373 11112\n6303 15127\n5049 14971\n3398 12318\n11113 14881\n4892 12972\n6777 9631\n8765 13216\n3848 14238\n294 11096\n12212 14247\n9736 13090\n7179 11471\n7092 10313\n10362 10789\n4057 9472\n5250 15120\n9136 15091\n807 8535\n2550 15620\n951 1270\n1339 3361\n10676 10895\n503 750\n1848 8437\n5544 10354\n8570 8929\n10086 11823\n10772 10845\n8383 12864\n2984 13615\n1410 13933\n4281 9251\n5156 5439\n5982 6211\n7512 12813\n11759 13134\n9716 10199\n2286 11595\n4502 12824\n9922 13111\n3696 12034\n4375 12559\n4860 9093\n7971 13682\n2383 4836\n11333 15491\n5804 7926\n7513 10264\n2752 13622\n3067 6392\n3536 10586\n5598 9349\n4446 5781\n7529 13513\n10346 10548\n14581 15301\n571 11352\n1863 10432\n7674 7975\n2456 11286\n213 2185\n12928 15220\n14198 14750\n4824 6749\n5949 14476\n6399 9885\n3971 9756\n65 9899\n3089 7548\n2320 7645\n433 948\n10744 11036\n4207 6833\n2863 12819\n4566 7193\n13585 13942\n5925 9170\n3178 7562\n3184 5161\n2944 11093\n6269 9749\n4887 10020\n4154 10266\n7820 14553\n8245 14723\n1634 2247\n6583 11918\n13102 13667\n4460 10099\n1210 9683\n6057 11455\n3617 6467\n9730 11426\n7755 8898\n5829 14029\n10986 11698\n2692 7833\n9865 13264\n3757 6578\n5331 8064\n3114 6025\n3645 11368\n6475 15339\n9749 11778\n7963 15036\n6935 14681\n5441 14297\n7830 9946\n4585 11052\n2126 15032\n5618 12202\n19 9260\n3794 8027\n4395 10489\n8390 9746\n5171 12628\n8770 9734\n2688 6848\n6728 9960\n5297 13838\n278 14172\n1694 8750\n7297 11334\n7085 13486\n1233 5573\n2959 13508\n4225 7063\n3336 13601\n1398 14537\n868 3778\n4997 12189\n4073 4713\n1159 8226\n3149 14080\n5342 9330\n2405 3352\n8313 15578\n542 15586\n2005 12180\n5933 11120\n2093 15033\n11390 12704\n162 5947\n607 9472\n2016 10082\n4495 12111\n2234 8705\n1691 6956\n4470 10893\n10370 13265\n3396 7691\n4422 15267\n6086 6418\n8878 10442\n2077 3674\n11264 14629\n920 10441\n3137 4599\n14660 14824\n346 574\n15094 15273\n1510 3532\n6712 6751\n3741 14303\n1202 11915\n9109 13040\n7647 13386\n5539 9822\n1360 2798\n2423 8249\n2110 7157\n4609 15441\n8013 14764\n5336 6214\n8534 13310\n9255 15342\n5755 13134\n2550 11399\n8372 15578\n3175 11969\n2203 4473\n7774 13327\n9934 13498\n12013 15293\n11685 13323\n4104 10063\n6666 11390\n4349 8986\n1306 8822\n3780 15638\n641 3195\n11806 14168\n9909 10191\n8995 10428\n5215 12956\n1769 14347\n3608 11842\n4624 5442\n13921 14851\n872 14214\n2050 3224\n3590 14031\n2199 10572\n127 697\n6700 15213\n4723 9330\n3263 13030\n1306 8132\n5813 8183\n8872 10143\n1485 4721\n8071 8780\n7129 14416\n9180 15146\n6205 14383\n5031 12958\n11692 14627\n788 11623\n3204 7771\n5581 6770\n936 3959\n11799 13391\n3742 12592\n1977 12308\n4101 10562\n9958 13599\n2741 13626\n316 8376\n704 2361\n122 1906\n11 14105\n6639 6873\n8626 8704\n1445 15169\n4279 10903\n2647 3332\n2835 3910\n5773 14785\n878 10742\n8679 12415\n2081 9055\n980 9807\n6079 7941\n118 12724\n1590 2339\n231 9550\n10311 15265\n70 9613\n6638 15518\n13696 14218\n1394 14752\n342 13769\n8170 13069\n1814 8066\n8700 8809\n8220 10819\n8270 15029\n2849 8141\n14474 14581\n3723 9113\n10202 10672\n4375 13918\n2578 14107\n1963 10178\n5196 9777\n911 11619\n106 7275\n9883 11932\n595 2615\n2756 5941\n8536 10166\n1175 13108\n5229 8037\n5450 13087\n1170 12261\n5584 9139\n5831 15452\n4018 13403\n11013 13911\n2027 2804\n1217 4740\n9490 14240\n4219 12786\n4566 12741\n2888 11238\n11231 15038\n6197 13394\n10381 11568\n8585 9997\n5996 8224\n10719 11895\n133 14661\n9105 15165\n6211 8934\n401 1938\n10032 10844\n7605 10051\n7021 10086\n3376 10558\n6847 11843\n2102 8491\n3106 9002\n6539 12531\n5128 10306\n13329 14182\n11891 13227\n1545 2149\n4219 10959\n8566 12353\n4431 14305\n246 12296\n10795 12951\n9047 13822\n10222 12462\n7556 13451\n7777 10293\n535 12401\n4095 13713\n2430 9023\n1107 9164\n1607 7540\n5354 14651\n6298 11105\n4016 10813\n6283 14249\n4509 8412\n2686 12281\n11560 11739\n7073 11178\n1466 14076\n5255 8915\n338 4143\n2193 13685\n5105 6338\n2136 11878\n10940 14181\n4698 8471\n4528 5480\n5978 9195\n2158 2631\n8420 11829\n2692 14483\n13308 15591\n9454 10947\n11350 15401\n4961 12265\n4519 12864\n2625 14168\n3872 9943\n8367 11546\n3091 14246\n5669 12839\n2624 7047\n9878 10696\n12942 13382\n4725 5170\n1188 3584\n12399 13323\n1886 9926\n6916 7077\n5811 9740\n10039 12716\n2457 7293\n246 7981\n10565 11593\n1722 6529\n3231 8800\n3143 3781\n8176 13844\n3770 11804\n4017 10279\n1776 8503\n3898 15058\n3795 7018\n2518 14483\n4260 14966\n8735 10001\n3552 15030\n3607 7297\n1830 2294\n14005 15217\n2116 13591\n12144 12743\n246 3955\n4821 5167\n10523 15024\n6199 10416\n11191 13947\n2726 5461\n542 4720\n2910 11003\n2495 8376\n9307 11347\n9490 13572\n2294 12874\n8168 14375\n5986 7076\n12786 12910\n321 12647\n2877 6024\n1683 11018\n7116 11225\n2349 3736\n249 13928\n5141 8375\n5870 13933\n1273 8184\n1808 13265\n5192 14503\n14041 15637\n4619 6228\n2357 14591\n624 6782\n3302 14849\n1927 13288\n10129 14049\n4972 12213\n13438 13940\n5889 9892\n5663 9406\n519 3132\n8145 12247\n2869 6028\n5947 8804\n8215 9551\n1772 9765\n6944 14128\n8413 11543\n1332 5531\n4085 8607\n5769 13541\n4556 9399\n4001 7257\n3008 12528\n5810 9724\n635 15213\n9984 10352\n7127 14876\n2988 6066\n8408 15565\n2975 12026\n6544 11511\n9171 14924\n992 15079\n409 1556\n10748 11807\n5877 11577\n2529 5728\n10157 12300\n10097 14152\n13196 13363\n2451 8560\n2726 13684\n1546 3693\n4602 14195\n389 12307\n6088 7948\n9416 15357\n640 6568\n11510 15317\n5559 13489\n13 12767\n10809 13666\n9015 9449\n6686 12478\n6859 13765\n6064 10969\n117 4740\n4572 11985\n11903 15425\n6363 14326\n1797 13254\n8840 10417\n793 8298\n591 2139\n1099 8526\n2553 4482\n5112 6857\n7217 14626\n11431 14522\n5968 6306\n4744 11391\n467 14623\n8557 15370\n2655 8923\n12909 15058\n1972 9643\n14065 14388\n7011 15089\n1345 2145\n4036 15068\n5404 15057\n7833 10484\n4904 14481\n7364 9023\n7728 12758\n5195 7222\n2789 9002\n5475 9948\n1866 8075\n1170 8444\n852 4807\n4896 6952\n526 14851\n5979 15329\n2972 6847\n2028 4676\n620 6828\n861 15336\n6016 6915\n10645 13923\n115 13933\n1632 11689\n127 15565\n10483 11860\n9294 15375\n12446 14650\n8893 12556\n7688 15654\n10144 11313\n10947 15543\n4503 14791\n3465 9317\n5138 8947\n15174 15457\n1505 6471\n5022 14638\n7762 13242\n699 8888\n2463 4785\n7813 13154\n1240 1984\n884 7169\n4429 8734\n11772 14279\n2994 8803\n8784 14032\n8072 12728\n10537 12101\n12669 12928\n7826 8198\n1606 9280\n297 6023\n536 1875\n688 7007\n5848 15481\n3423 12599\n2093 12576\n1511 13116\n717 965\n11595 14248\n4159 11919\n6649 8195\n2699 5446\n5681 13271\n3047 8878\n5280 11672\n22 13623\n8141 10372\n254 11669\n8391 10153\n7387 15536\n2079 12309\n5217 14099\n606 2389\n3608 13620\n10655 13014\n772 11202\n9318 15126\n7049 9972\n4238 9326\n10865 13085\n7876 14441\n5349 9605\n4770 5975\n486 11418\n1505 6179\n7625 11939\n14050 15449\n5282 7297\n10413 13193\n6347 6812\n3814 13461\n7402 13438\n405 3253\n4431 8508\n1308 3146\n7031 8556\n892 3337\n3776 12037\n6263 9344\n1450 7850\n1648 1687\n12051 15584\n12770 14621\n6486 14497\n806 14694\n1675 1944\n2918 14023\n10593 10892\n6370 10950\n236 12584\n965 9682\n3622 4877\n6849 7984\n1531 2571\n5849 15612\n3752 13239\n2544 7479\n714 14302\n7524 10855\n2612 4540\n1260 11779\n6381 12470\n3295 3826\n14432 14867\n5468 11863\n3593 9428\n5017 14115\n4204 6558\n82 3966\n2889 6494\n9117 14784\n13808 15533\n5211 12886\n8100 12576\n5532 5940\n12956 14058\n4433 11207\n9295 12489\n571 2714\n283 15519\n2232 12392\n4914 15304\n1307 13527\n7558 11999\n2108 4459\n6883 7674\n3870 6335\n9904 14150\n4416 12688\n4748 6788\n2768 11165\n7442 13131\n489 6136\n7566 10773\n8154 10186\n10632 12618\n8199 8337\n6200 9193\n7907 8944\n8237 15014\n8253 12711\n4653 10655\n5545 10109\n2718 8379\n6366 6691\n9928 11008\n649 8045\n11650 12954\n8466 10437\n10182 13351\n6850 6963\n5477 10533\n13127 14389\n8010 10950\n240 1323\n697 13249\n7248 8096\n7725 9937\n5734 12674\n125 5584\n5013 5640\n11479 11619\n5254 13113\n8842 10271\n5999 7840\n3016 13814\n6866 6921\n3697 5674\n11036 11335\n6300 7106\n2136 9360\n5777 9787\n5105 7353\n3360 7988\n15 13596\n8328 10215\n1094 12731\n10856 12337\n13043 15087\n6826 13685\n3419 8500\n5318 9518\n2019 3418\n8111 12396\n88 11512\n1571 11376\n1827 8371\n2992 13431\n13976 14839\n716 5354\n7050 12805\n4785 11171\n6900 7043\n8908 9697\n461 14955\n3397 5410\n695 11569\n3397 4134\n2052 4287\n8685 14624\n8175 8437\n9564 14141\n11856 12943\n4689 14902\n115 2381\n948 9426\n7367 9787\n2614 9213\n2477 4076\n3416 8323\n3709 13329\n6716 15651\n1561 2063\n5867 13534\n9075 10024\n6455 14158\n10704 15082\n2275 10171\n8765 14499\n3595 12684\n3200 12048\n1820 12937\n255 9228\n5899 7752\n682 4326\n4937 14214\n1322 7095\n1954 3015\n7063 10542\n3200 8221\n1739 10483\n9132 12709\n7836 9136\n10974 12851\n5612 7133\n1853 15540\n13514 15281\n3259 7708\n4735 11339\n6984 12767\n2033 14726\n787 14409\n3307 5848\n513 14334\n8815 15409\n14963 15436\n2040 8054\n1847 5463\n8821 13425\n5929 10497\n3156 5231\n13947 15448\n5100 5822\n49 13426\n4581 15053\n8498 14724\n4985 8650\n582 8288\n6749 13157\n6729 8883\n1242 1704\n3380 14448\n3784 7412\n7669 14063\n12065 14687\n719 12981\n4452 13178\n591 9912\n7860 15487\n6821 8248\n9487 12423\n3052 5910\n3301 5271\n15025 15149\n3982 6243\n1415 12026\n3504 4164\n10335 11189\n7289 12770\n5566 13362\n98 690\n9768 14176\n1013 7602\n6639 14562\n4414 15559\n1820 10947\n7174 14980\n4323 9466\n5616 5990\n2716 15218\n6611 15208\n1191 6790\n13471 14658\n10131 10251\n9611 10262\n4193 6240\n6962 7326\n1687 9724\n703 10716\n12207 14097\n12398 14688\n858 4430\n1255 9471\n6104 10318\n4897 14162\n11461 12761\n7634 14894\n4951 13553\n10542 14381\n2313 12817\n7231 13039\n8576 10588\n3087 5541\n11795 13404\n5365 9226\n2163 13217\n11268 11960\n3703 7359\n2328 6257\n549 14687\n7213 13119\n3376 5034\n1653 12169\n4007 13231\n5322 10861\n142 1316\n4694 8438\n7107 7327\n3454 13462\n463 10862\n937 13503\n13131 14315\n11787 13622\n2053 11317\n8129 14407\n457 1264\n7568 14138\n6897 10812\n9850 11258\n5274 7584\n1551 9004\n8493 11519\n10053 15461\n5512 15638\n2716 12456\n425 13540\n6223 11054\n7898 10498\n3890 13186\n3275 12164\n4417 5734\n8479 14634\n11562 15124\n2191 15578\n10305 13261\n2628 9672\n3930 7893\n4034 7916\n6488 11353\n606 15494\n5312 12202\n10154 13576\n989 5687\n5729 10166\n3776 6328\n12430 15149\n6510 14457\n2512 8154\n619 1096\n6273 9445\n919 4167\n2437 9025\n10293 11896\n5594 13675\n1136 12715\n566 14166\n3786 15425\n4821 4861\n1954 12797\n5825 13927\n149 9991\n1276 3737\n10008 15472\n7942 10727\n13923 14662\n13798 13910\n9099 12181\n9763 13693\n4641 10227\n1906 10717\n9156 15283\n1384 4824\n3929 11170\n3647 9380\n9154 9654\n241 5163\n9325 9719\n5598 8914\n6780 9607\n6884 7638\n6109 13869\n7141 8762\n2311 11380\n6230 12063\n2118 2124\n3882 5988\n3354 11835\n308 1775\n5013 8041\n2505 12786\n7029 15386\n159 7543\n13447 14548\n3342 7302\n4957 10211\n10308 14971\n8592 9668\n5725 15580\n7009 13655\n2015 4875\n11889 15242\n2840 7221\n5887 15082\n1757 9467\n2222 14499\n7457 12610\n5303 9543\n3323 3452\n5760 12056\n9840 11740\n5860 13434\n5902 14593\n3953 4351\n6772 7626\n4154 13699\n11510 15113\n1708 7824\n12071 14151\n5372 8276\n12729 14168\n12081 14733\n5818 12824\n848 7326\n282 15430\n3874 5685\n6850 7682\n8227 11908\n503 7017\n244 15136\n2082 8343\n4087 11264\n2663 10273\n148 10635\n8979 11673\n2393 4315\n4586 15235\n4111 10985\n5907 6762\n5362 8695\n1900 4025\n2060 13889\n11335 12392\n12714 14203\n4954 15414\n1820 10671\n1255 10766\n8264 14034\n960 1428\n10405 12244\n10977 11862\n2215 10844\n8969 13250\n10876 15532\n5158 10743\n634 6007\n10464 12368\n5182 12525\n11136 11522\n10481 11201\n9460 9971\n9187 13774\n9008 11395\n1354 2445\n1645 4739\n3049 11059\n6027 7650\n8601 9954\n10194 11043\n8069 11593\n132 14292\n1564 6219\n1781 8108\n6123 11389\n4148 14520\n7843 8556\n6181 6205\n8998 9956\n8500 15334\n8985 13651\n8901 14034\n1271 12917\n4624 5654\n4727 6067\n12703 13748\n3078 5129\n2332 13888\n13298 13485\n3325 14652\n3321 15535\n3161 12761\n10125 12591\n3643 14271\n13937 14999\n6525 14045\n3617 5717\n2503 14656\n6888 10841\n4544 14941\n3091 4302\n4337 14196\n11949 14301\n9301 14859\n402 5643\n4974 8611\n1505 8036\n12305 15601\n973 13065\n402 12864\n936 13449\n3988 5896\n4423 15314\n6040 14029\n868 1421\n4191 14511\n6057 6602\n1246 3770\n3293 7599\n5762 13757\n3841 4203\n7417 11178\n5345 14302\n2284 5188\n4012 14989\n8265 12446\n8074 9209\n173 2485\n7376 13749\n7929 14582\n240 5739\n8685 14429\n377 2385\n5063 13936\n1476 4199\n3101 3512\n2152 6890\n50 4643\n3864 8186\n12180 12216\n6347 11352\n3007 3444\n3082 4842\n123 9887\n253 11626\n8274 13444\n11683 12211\n1767 3509\n6945 9422\n6748 11875\n1336 1490\n791 10528\n7621 10935\n111 14562\n14647 15071\n6892 7339\n655 3263\n8254 13623\n5806 11810\n1185 3721\n7450 11821\n1695 10788\n5644 10853\n2800 10688\n5105 6609\n2236 3635\n5139 13541\n6086 12397\n68 12614\n5062 14295\n2501 4746\n713 7181\n6833 11699\n463 5441\n2698 7685\n8448 14593\n4469 14304\n5009 10522\n12682 15122\n3420 3646\n4037 12341\n2598 6488\n539 15124\n1254 10515\n5871 12897\n1104 10458\n1404 9286\n450 2388\n1930 7339\n7068 12361\n2644 3997\n1460 3276\n13133 14605\n5548 13858\n11042 15422\n699 5653\n6506 11987\n4703 11889\n3382 5892\n1052 3779\n168 3483\n4234 6195\n4679 7618\n10953 12169\n8248 8336\n2087 4537\n5155 15375\n2680 12830\n3741 9218\n10725 12696\n6124 10018\n1377 8686\n6268 12807\n4547 12407\n11573 15092\n3624 13534\n6020 11281\n1404 7442\n5648 6793\n2153 3886\n5661 12724\n5266 10930\n8383 14715\n3445 12026\n2034 4436\n6637 9715\n2983 7113\n6831 7761\n10701 13023\n2238 14560\n6100 11309\n7455 9579\n2622 8352\n12181 13133\n2478 5657\n5016 11953\n1394 7250\n5081 14109\n1724 7311\n4199 4420\n1234 5993\n3444 14692\n10849 12010\n5272 12241\n5208 9317\n1191 1924\n1470 8002\n5626 12957\n6804 7708\n298 7334\n1763 7402\n5576 14269\n212 12154\n2954 12830\n9233 13241\n2426 15602\n3437 9925\n3144 4090\n1278 5542\n8945 14336\n3696 8227\n7591 13986\n6519 9025\n164 11634\n3101 5657\n6087 10743\n4366 6367\n3384 7159\n3628 8503\n10958 11279\n5670 9489\n8732 14703\n3309 15477\n7080 9252\n4396 5779\n6896 12665\n107 8257\n3821 8357\n98 12907\n2508 9792\n2811 13896\n5354 10636\n2733 12333\n3934 7271\n6609 12162\n4296 11045\n7033 10896\n10900 11248\n4243 4727\n4741 12481\n5917 10079\n3559 9957\n214 10826\n1318 11679\n8401 14275\n542 14824\n585 13501\n10124 12536\n1836 11330\n754 9195\n7418 8301\n3082 9963\n1734 5043\n14953 15342\n6854 8394\n4627 11866\n5207 12275\n3371 3500\n9874 11260\n1090 7744\n8074 11747\n695 14221\n10004 10158\n846 13426\n1528 8602\n9722 14781\n2540 13379\n1264 6661\n2082 2251\n2637 10743\n11352 11686\n3701 6363\n5044 12675\n1080 5145\n11766 13560\n7903 11880\n9544 15590\n13222 13809\n4324 15061\n9271 13842\n3652 4744\n10591 14722\n8076 12041\n2639 3251\n1755 12511\n13252 14727\n7326 12368\n5399 11263\n523 6673\n2917 8315\n5752 13194\n7348 12694\n4980 14110\n3814 5008\n2209 11081\n1757 14716\n6366 12278\n8389 11560\n14615 15305\n3320 8673\n10319 12064\n1045 13476\n8053 9447\n1690 5485\n6067 9323\n4450 13075\n52 11900\n3826 4187\n5462 15512\n9538 13328\n10733 15059\n913 9335\n12246 13699\n10503 12439\n9117 11039\n1771 4182\n2602 9116\n515 3794\n4447 14572\n3864 10576\n1461 2888\n1088 15316\n1329 10022\n6717 10390\n559 11386\n3832 13258\n3248 4964\n662 13747\n9198 9321\n12162 13851\n11 7579\n9419 11084\n6735 12260\n3764 6421\n1935 9006\n401 10951\n2828 3270\n3925 15650\n6184 7199\n6226 12807\n10995 14748\n4692 6706\n8865 11216\n11878 14365\n861 2196\n3486 14321\n1157 13574\n11048 14270\n3115 5647\n2466 5544\n139 2983\n10723 15240\n8463 12646\n6305 9437\n1988 6436\n3911 5257\n13969 15015\n11582 12106\n8049 11331\n2669 14564\n2889 13916\n6776 7268\n568 3683\n11218 12117\n12179 14628\n1625 12789\n1483 14494\n9308 11331\n2851 3228\n11604 12936\n5245 13508\n8864 12666\n581 4854\n4247 4553\n73 11562\n11880 12055\n154 10386\n6480 9964\n4231 6005\n423 7912\n4475 15153\n5990 8985\n1316 6420\n10956 14080\n5878 11900\n4153 14791\n830 7984\n9164 11615\n8263 8904\n2959 13175\n3359 9402\n2873 3625\n9582 14358\n6915 13757\n7453 13647\n6010 13841\n13093 13448\n1151 12907\n2520 15592\n1782 4780\n10837 11360\n6204 14045\n208 15314\n1334 11243\n9477 11221\n5157 8035\n409 5250\n7623 14283\n3759 11377\n6503 9518\n1006 11196\n2915 4531\n4917 9431\n1100 11906\n4453 12251\n5298 10423\n2614 5688\n2837 15104\n4249 7572\n5291 10682\n5337 13172\n5771 14383\n12827 14387\n4702 10443\n1353 9415\n9486 10006\n5355 7696\n4147 14817\n4152 5384\n7700 12069\n2180 13780\n2489 6732\n1374 14897\n2453 2542\n8928 13919\n36 15515\n3468 12242\n2887 14858\n4920 8270\n6495 15477\n6413 14328\n3494 8663\n9278 14026\n13063 14344\n10421 12606\n7586 9434\n1085 5877\n9311 12785\n6507 13847\n4399 5387\n4578 11219\n8346 13288\n4964 5144\n6272 9544\n10338 11134\n4839 8548\n8271 15372\n9976 14565\n2436 10503\n4439 10515\n9822 11962\n4397 13693\n11269 14803\n8835 13632\n836 9305\n8330 15328\n7763 14937\n2953 11607\n1590 3905\n412 9036\n9223 9242\n9871 15395\n8327 10686\n10685 15189\n4932 11590\n9097 13496\n1656 5750\n10198 12153\n4504 7333\n5524 6100\n10300 14321\n4454 8563\n2423 3954\n293 15622\n6292 13839\n2713 9547\n1925 8286\n2763 11065\n4940 5563\n6502 13735\n7612 12396\n575 11521\n1140 12700\n9398 11933\n10593 13266\n136 6161\n12095 14807\n2427 11317\n5694 13089\n2118 9210\n630 4007\n5133 9924\n6385 10108\n41 5219\n5695 12907\n1103 13923\n4949 15416\n11822 13441\n6086 11295\n2996 12915\n2264 10719\n5632 13754\n301 13639\n12986 15633\n3144 9381\n5876 9810\n8628 10195\n1770 11840\n2860 6404\n981 10238\n2043 2162\n8760 11400\n4188 13454\n1419 2294\n2199 9406\n3870 12850\n9094 12336\n2684 8396\n6309 7740\n8952 10675\n1489 14025\n2137 7747\n4337 14201\n596 5337\n11819 14435\n106 14302\n986 13609\n1256 13822\n10411 14117\n2631 4447\n9353 14076\n9981 13024\n1225 14930\n11628 14780\n12763 13266\n10571 13702\n13760 14219\n2736 15335\n7092 10235\n2605 13227\n8997 13495\n2942 13408\n3299 14994\n2283 9489\n9146 9448\n2833 11226\n3013 3738\n5915 7551\n524 5937\n13235 15286\n6579 10589\n6057 9957\n2520 12889\n2737 10441\n3532 13809\n4124 9751\n13972 14872\n383 6652\n5199 11298\n4706 11894\n1860 12001\n11623 14452\n2734 3781\n1246 3112\n552 12021\n8428 11715\n2152 10206\n13435 13740\n10497 14041\n2518 10675\n1660 14643\n9891 15660\n11448 14671\n5381 12952\n7453 8859\n8191 11373\n12123 13746\n139 10546\n6074 7679\n2431 9725\n8878 13647\n1079 6961\n8733 11061\n6306 11539\n5480 11484\n688 3037\n1158 1555\n9335 13254\n3031 13349\n2948 12327\n7904 11332\n14941 15377\n9199 13448\n732 5306\n5285 9486\n1411 8963\n10959 11485\n1188 14574\n9149 13101\n10639 13603\n2981 5461\n5109 14636\n562 9451\n6304 13286\n7199 13193\n4604 11112\n794 15372\n10574 14694\n6120 11438\n9834 11923\n7761 13088\n3429 3744\n26 15227\n3241 9618\n8019 8233\n1983 7730\n6262 6298\n1297 14471\n6276 10153\n10704 13536\n4193 9610\n1325 3255\n13674 14755\n5638 9970\n7702 9110\n2723 7610\n1861 14620\n5627 8368\n112 3983\n2912 12037\n3838 4936\n7096 14100\n12108 12285\n7994 11902\n11834 12189\n855 11133\n4628 14246\n7581 12351\n1786 9212\n373 13512\n3738 9729\n13704 13824\n5755 7020\n3148 10057\n3672 13732\n465 2891\n5486 13358\n6802 8353\n988 8056\n8021 10659\n10228 11571\n826 14572\n11878 12771\n772 5695\n2383 4847\n8523 13984\n4958 11763\n7412 9981\n13995 15083\n1723 10169\n10944 12472\n4570 9047\n1792 13742\n920 4078\n4372 13939\n4496 6774\n4993 13982\n5578 15271\n13161 14166\n12102 14779\n10382 12977\n1246 5493\n164 10837\n6124 14588\n3207 13007\n11332 15083\n5091 5465\n323 2532\n6088 12049\n14495 15216\n5945 12759\n3129 10211\n4520 5179\n4234 10205\n2082 4140\n8175 10613\n773 10006\n128 616\n6422 8113\n5788 6524\n4134 7317\n6866 9111\n6557 7893\n591 8501\n4954 6986\n4992 8598\n138 5280\n6054 15395\n35 3313\n",
        "output": "231\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 84,
        "task_id": 541,
        "test_case_id": 17,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "93178 88605\n53812 72785\n37753 59496\n1127 71075\n2901 18755\n51703 77866\n47093 70356\n3410 63840\n47140 62117\n15307 36680\n13331 34230\n38365 88877\n3932 54930\n24227 26336\n32244 44842\n7078 75807\n38294 66527\n11782 37423\n73985 79089\n33057 54790\n4230 92304\n33551 56667\n16609 63485\n14114 22108\n47013 61960\n45371 69107\n34572 43934\n31605 91023\n19557 43669\n38623 85755\n73769 85184\n4015 64489\n14994 18908\n16584 85119\n1178 46875\n29100 91199\n78954 90990\n34261 66845\n13 20684\n56807 91575\n67506 86434\n55263 88877\n63844 68018\n47928 85818\n16556 84942\n2116 41430\n24775 79126\n69090 92627\n29333 90814\n47898 87385\n22204 47068\n3200 82708\n7807 22188\n51784 82392\n12556 76295\n22453 74843\n1342 58929\n13893 24514\n8872 58079\n54643 68158\n12466 34397\n43274 88865\n40025 59524\n30127 60944\n2900 90606\n20716 90210\n5987 87980\n19267 19754\n2182 16815\n60325 68514\n29697 71613\n43451 70426\n27095 32926\n34693 40956\n49160 66487\n11119 69954\n7422 84379\n25246 55905\n13211 43169\n39450 84270\n52540 62582\n6133 28036\n9677 79031\n5540 48245\n4776 36319\n23997 59639\n12197 61472\n24028 88141\n5053 77814\n27937 57675\n9618 65316\n43705 70878\n47983 93129\n21100 88631\n25143 68140\n44253 89141\n2471 58532\n5903 35412\n1387 6244\n63468 84560\n16873 23677\n39963 82243\n7655 92718\n2208 72212\n87046 92067\n16955 23342\n47932 53302\n7987 91907\n13568 61204\n64119 68311\n19724 46256\n8385 68328\n1962 13722\n8904 83224\n43857 75082\n2099 18056\n67012 81584\n12984 22880\n20576 33458\n19955 22769\n37682 81952\n7110 58879\n44349 88872\n20598 38862\n21468 31134\n67290 73684\n6544 44506\n13010 28648\n40094 86273\n60958 91380\n7090 18405\n29824 68319\n47707 89766\n61486 66778\n60235 62313\n16932 50685\n22410 25844\n19979 80838\n20769 60571\n34333 84184\n59154 89033\n11712 74144\n19039 51023\n6635 13494\n34432 67491\n60699 86551\n40222 67605\n10863 16855\n11713 33869\n38864 73565\n9156 18249\n78168 89489\n4198 42572\n56938 67185\n36348 82668\n1334 51535\n18184 62307\n15498 45304\n27441 48201\n19809 62475\n29833 45060\n20485 31181\n21440 63811\n47260 53125\n49291 54196\n39093 89190\n5079 85854\n36156 90171\n26858 68396\n59019 80836\n53669 76980\n24296 86120\n42942 54603\n55160 64258\n29948 52244\n4123 19157\n60324 91139\n45098 49790\n19750 58824\n3491 52684\n219 57221\n18837 93045\n2448 36573\n52815 66534\n32780 72131\n42346 84341\n51833 79704\n26986 56539\n19756 91226\n48257 64030\n24447 49496\n39042 70708\n11824 26607\n5122 90830\n65477 68761\n8628 72516\n30377 37460\n39309 39569\n16690 84667\n35987 42854\n37136 48445\n7101 8296\n2651 36307\n59606 72783\n11138 80482\n40684 53414\n16105 76793\n19433 86926\n43292 75004\n21819 55011\n33269 34796\n43383 48790\n6985 90044\n43404 90270\n20016 27886\n8063 22962\n57606 61660\n18905 77408\n14849 90150\n38254 71013\n74082 84713\n2262 14257\n61565 72003\n24272 69546\n11345 36235\n89705 91206\n8858 35174\n20011 91077\n42377 88916\n53799 68564\n51342 89338\n28059 59673\n74338 89861\n48789 63413\n30802 59202\n47061 49577\n18528 80684\n2 81347\n36842 66596\n16386 33701\n24009 79390\n14857 66470\n28110 50161\n44135 55058\n69320 79724\n2899 3724\n45795 48043\n8160 79274\n29928 59350\n58182 86990\n29984 49220\n18670 60248\n11635 85209\n41090 80715\n49753 52924\n45844 69741\n3122 53978\n12730 59990\n32355 63809\n10047 79299\n13477 74760\n13325 70628\n44283 56385\n1993 51735\n18314 79296\n26780 69910\n39574 70036\n13827 21881\n30930 90696\n48250 73606\n32222 67509\n26126 85978\n46817 69830\n3197 46016\n1347 49284\n22768 75229\n19607 24515\n60014 61801\n15972 48336\n12598 72155\n24152 43484\n14349 30626\n8364 90073\n1347 26877\n45240 90092\n58627 86215\n8962 9476\n52633 74037\n78300 86523\n36938 76147\n59197 87640\n42253 67865\n28039 61256\n77546 90138\n35201 88178\n24467 79135\n30117 83221\n30175 43501\n37755 38601\n8088 44096\n20415 71455\n13367 89735\n42653 66834\n65994 68015\n2492 29368\n54438 63782\n25008 32532\n53402 82580\n4252 53444\n1425 32780\n42976 50971\n40456 61077\n33635 39845\n36524 63754\n24868 89012\n52668 55914\n24998 88805\n40773 47445\n17933 75502\n31841 68423\n1655 12078\n50919 78087\n14922 20426\n23522 58179\n60119 80477\n11596 72095\n19625 25129\n60588 72372\n8969 61229\n79946 80797\n43975 58050\n19050 37944\n22816 87183\n15389 75949\n54923 75905\n35327 68062\n1322 30497\n209 61817\n1499 7712\n16095 16140\n55358 89833\n26145 38211\n2119 57398\n4658 39631\n40595 53401\n40277 62682\n74100 88438\n6965 8756\n42833 74486\n50843 90784\n29698 91774\n51198 81789\n10997 40352\n54111 68046\n23289 69194\n1794 54675\n20342 73282\n32993 62523\n42781 62346\n62977 88258\n10117 87768\n39441 50811\n1514 83814\n48421 71590\n16777 79543\n12591 87757\n61122 68057\n7520 7610\n20506 74319\n17294 42648\n21801 79800\n12806 36913\n39198 65691\n32341 68477\n14555 90274\n1629 65349\n1519 8840\n56554 82516\n12349 70782\n669 26782\n30090 47237\n45465 64141\n30035 86455\n58500 82359\n20055 70443\n35800 76753\n57386 86375\n1535 7190\n29822 56163\n42007 57136\n27881 60806\n29079 65900\n30442 90047\n88899 89112\n87 55752\n32816 84551\n19711 29090\n15119 20216\n27950 72562\n40258 92904\n25013 31748\n22097 38977\n43009 54300\n22227 41535\n34096 64812\n60614 72819\n10412 52667\n14139 59569\n63985 80303\n12686 92173\n25021 61693\n39088 71296\n59417 64769\n11935 20353\n58673 73865\n16069 31204\n35114 63143\n63148 82953\n61903 73935\n51579 83756\n10188 28537\n33099 69646\n43166 62425\n31404 83500\n57974 67729\n20228 63550\n7977 57458\n69979 82534\n39189 42487\n47960 74739\n1476 14082\n52877 77932\n22737 42840\n12721 68024\n35520 68589\n16870 23361\n48464 88527\n14518 63537\n30575 63718\n37403 69099\n38145 43288\n42538 67764\n1717 44560\n51727 64797\n44509 74144\n52402 52548\n6043 60044\n11566 32528\n49748 77433\n49664 52336\n13463 35168\n13937 62462\n2989 64571\n22223 36929\n46559 64734\n8513 32386\n42407 74660\n23136 49341\n35665 59487\n70263 72982\n42105 65374\n17823 64668\n68667 69707\n72067 77939\n14566 18969\n51315 90829\n39146 48575\n24574 28543\n33334 59776\n38755 88253\n30371 41764\n60065 80807\n2715 44008\n46869 85132\n85389 88539\n67871 82362\n17682 18828\n54439 62557\n52939 56597\n33614 57813\n50506 85220\n9054 26399\n8488 10542\n9347 58473\n3915 64415\n10060 87900\n18368 65297\n56130 57862\n9278 77479\n13277 81894\n9523 21306\n9424 72311\n37541 75911\n68655 86088\n3753 92739\n58847 69059\n11486 52876\n22582 40387\n3714 5150\n21467 54823\n49888 66243\n3968 31446\n35973 58307\n65412 92706\n15449 18520\n15088 15877\n45665 89808\n26189 40754\n56006 64540\n20372 69794\n11072 57859\n24017 55934\n12273 76536\n17621 38978\n19746 60920\n6042 22429\n75179 91618\n37681 43929\n34329 78785\n5190 20923\n23127 47602\n79882 83690\n29511 31208\n29517 89087\n13 77563\n17374 89192\n14645 70966\n42777 72642\n41288 86879\n36755 55523\n4413 72394\n51720 64147\n25542 90550\n30191 78419\n91823 92410\n2365 68617\n12534 70765\n5732 25355\n41252 42387\n55176 65930\n8935 27632\n12960 32198\n5259 39566\n19552 68349\n78949 84199\n33264 78682\n6263 65594\n25077 31729\n32248 41803\n85582 86195\n4725 46234\n60383 76289\n72837 80643\n48607 92426\n42099 42939\n46287 51063\n9899 80357\n9232 76000\n5708 67096\n14259 59768\n23298 50835\n61789 76242\n14027 88635\n26531 58385\n15812 34742\n31700 37212\n83429 84310\n5486 48965\n41273 53304\n18323 26748\n21483 59458\n10773 24737\n14022 78782\n26454 57712\n23092 74006\n298 78768\n49222 62421\n10097 16376\n40692 63123\n43488 56961\n18938 36463\n56760 63955\n44187 91603\n32126 33838\n10840 53374\n42031 46741\n44694 86477\n49247 58889\n19938 90394\n27183 68399\n21452 73597\n52853 91288\n7506 64356\n39477 47855\n62261 66315\n28441 42399\n76924 90601\n29973 87538\n67530 85397\n44932 49484\n43165 59123\n47198 86581\n51971 65287\n57165 80740\n11644 46371\n2305 4075\n50525 66640\n63572 68707\n13545 90770\n17299 65557\n44315 50631\n36886 52414\n12157 81730\n12039 55836\n4135 19185\n6838 33735\n201 34524\n23129 91854\n23371 48907\n10623 81347\n66074 90104\n76587 81788\n17038 51600\n21447 87130\n9369 54949\n13334 53516\n20823 28756\n53004 89329\n252 69392\n63416 78625\n40099 56917\n24231 92223\n5193 25399\n27517 79315\n14565 65370\n12951 32858\n25257 67130\n67572 73388\n44910 66111\n57148 82591\n43146 69399\n19266 26877\n18264 25666\n64154 79141\n43414 46551\n54729 73125\n54091 79794\n17306 42721\n9689 64897\n68525 84145\n1889 69914\n7287 52336\n15865 46659\n74216 74298\n84616 91610\n33701 57759\n17315 91079\n57381 91489\n29690 62554\n15366 84656\n42332 76241\n33750 72417\n2016 24934\n14333 65107\n46050 61230\n33731 39377\n60058 79134\n46558 85025\n55667 63592\n51496 55972\n11632 33922\n6805 40389\n66714 74716\n11982 65662\n59530 73167\n21321 74005\n81754 88336\n19733 65809\n2003 24285\n21172 44815\n17248 20519\n5720 86238\n14896 60262\n45985 75023\n35287 41030\n16179 42398\n35128 65754\n6230 15738\n53065 86789\n38168 60851\n78469 81345\n36662 79989\n5484 89813\n47899 75378\n35200 59529\n4186 19278\n3991 65922\n44849 67818\n5851 39907\n75321 76457\n52698 75752\n20332 35184\n2257 26459\n23443 33253\n904 70482\n34931 43965\n20866 30021\n8235 86252\n7140 10561\n11378 91462\n41136 55486\n45177 74053\n35163 65990\n46253 83723\n12366 22972\n38537 74648\n23963 73323\n26125 32520\n55028 76980\n22057 37191\n11706 59505\n36219 45950\n188 15859\n10270 88368\n14366 16853\n44825 46019\n41124 77359\n894 43287\n653 4355\n67103 82156\n11306 61475\n11902 67958\n7037 82663\n2251 13598\n17013 85980\n31980 75447\n3306 55436\n40336 57803\n62204 71324\n48155 78451\n31768 41585\n8218 28549\n60315 64343\n14144 79218\n21848 38215\n24957 33961\n23578 72674\n43724 87798\n51631 89566\n4638 84988\n13899 32878\n12841 33219\n64724 66099\n6862 60563\n60526 63084\n3076 70109\n50010 74229\n5276 81968\n10560 33375\n73978 79569\n38380 74058\n35472 56291\n9289 25100\n54932 77338\n14052 90635\n7666 18716\n35729 82630\n58192 62119\n77520 85888\n15589 87322\n66554 72327\n67702 85193\n56644 83048\n60353 89364\n36614 52561\n38702 75413\n9439 88940\n56 40321\n21555 77200\n16141 84101\n18135 50649\n57321 85332\n66670 71890\n20265 48097\n17814 27834\n58081 79198\n45865 78964\n21193 71235\n20705 40200\n1032 8890\n55193 68593\n12973 91148\n21690 68834\n24928 54225\n38302 54742\n55147 73188\n23245 27379\n16567 28934\n7712 88158\n156 27321\n58695 68285\n18318 34412\n51302 88170\n63208 74618\n36508 79447\n2326 50199\n55344 57266\n35532 36097\n40651 82530\n40971 45878\n23742 57394\n50664 90977\n32234 36018\n16797 28027\n37639 58622\n21783 58883\n1893 36485\n45911 85326\n3762 21735\n28785 37324\n19974 66508\n16204 31460\n23616 79183\n12458 56995\n11945 86981\n71515 80948\n25366 87578\n25875 56631\n24221 66933\n22462 56870\n70948 81219\n1701 72116\n28490 36747\n13119 34710\n12711 59446\n65945 68070\n17906 55917\n14791 74219\n16298 17413\n21574 33387\n8502 55632\n6266 53858\n79757 82852\n3988 61275\n37653 76867\n5814 51863\n68265 76649\n63290 92997\n26457 27329\n50163 60621\n22527 67876\n3574 91563\n67421 91269\n2820 24454\n12154 82762\n7083 22626\n49656 73802\n22504 75166\n4348 50120\n54073 70184\n34992 48318\n53470 82702\n3172 68901\n73832 75488\n7950 57690\n81590 88021\n3793 44233\n8473 82226\n43127 91644\n42759 44842\n53359 88983\n46363 50424\n9294 21406\n17343 24543\n23171 26056\n53068 83538\n2907 50492\n16128 43647\n25884 40281\n36347 52339\n15057 24061\n42814 82923\n64653 87704\n2826 19126\n31061 39318\n67887 70770\n18426 81361\n4368 42124\n19174 93035\n25842 62649\n13477 17397\n44789 66694\n36525 44016\n79300 86936\n76805 77590\n11222 63297\n48941 59037\n12876 66076\n31004 45201\n17298 60758\n12713 44913\n5103 45916\n30354 87194\n15650 92345\n9360 49739\n37232 57132\n5929 47665\n32282 37701\n51232 84255\n13956 57755\n73296 80526\n29947 62027\n17433 59366\n26190 70793\n11001 91148\n5010 52090\n2159 31234\n11038 65572\n6200 21090\n19480 39953\n23210 28802\n26326 52918\n66238 67766\n37132 48482\n19083 37520\n38548 64153\n2688 30126\n60451 64537\n4431 12651\n4737 24686\n35636 53278\n39190 54345\n65362 71354\n15222 68429\n26326 39661\n28536 57193\n21065 55428\n30309 59081\n3253 14443\n7593 36935\n43656 50287\n60639 92749\n48077 53750\n6118 45405\n2566 7379\n62148 87590\n25867 30752\n2670 17255\n46610 47917\n38869 63256\n38790 43376\n3741 43200\n1918 20615\n25698 72726\n52457 54987\n59770 90956\n3892 88606\n17481 68734\n16236 63176\n6898 71199\n142 29259\n45572 50513\n48683 75656\n11479 37758\n26349 83005\n4215 36029\n61858 82371\n39105 71160\n79 63999\n9278 33666\n39376 62099\n34740 49665\n18342 68478\n9033 19023\n60180 74072\n28552 38163\n21074 73442\n37476 91495\n7294 17195\n71581 89862\n11422 21991\n22630 59012\n35661 47879\n21701 46265\n9885 24054\n66267 87615\n19246 55783\n5335 63177\n28908 48485\n22032 80226\n48618 50300\n820 43862\n31204 83020\n43446 46401\n45083 86228\n55544 61960\n25328 63080\n4221 89677\n17110 49123\n16692 73736\n57372 73025\n3333 5935\n3234 75477\n33304 87585\n14467 90405\n39006 39392\n847 4668\n6857 49005\n33147 90450\n35849 62096\n2147 82818\n28933 69247\n42192 59809\n32587 77584\n10336 80457\n58605 92113\n17205 27116\n5702 85868\n17150 25538\n1841 66908\n37118 92756\n77198 85531\n33177 63608\n60309 86558\n3089 35320\n66009 74619\n12456 91742\n19361 71544\n38812 76330\n34280 84124\n56872 80317\n12725 48771\n26774 46113\n23518 71862\n16787 23794\n78456 81545\n18442 71839\n36756 81347\n6809 92274\n59207 91450\n59793 91222\n25739 73381\n4911 21472\n34572 75889\n19472 40650\n77452 83114\n34222 75779\n65512 83185\n15843 63925\n25246 43345\n35378 57987\n50214 73161\n56691 80665\n64591 73376\n6631 41595\n3117 70894\n71846 87355\n60266 86758\n20158 53109\n15249 92920\n7318 74527\n50130 86970\n46780 56062\n68298 69284\n5600 19668\n50718 82634\n52289 73464\n1699 71025\n54097 83463\n22568 82748\n8635 69083\n36042 51886\n29506 52594\n8026 31728\n20890 66700\n79991 93133\n26584 41170\n25762 27392\n4928 26008\n6565 80810\n6492 54459\n77725 83514\n2577 29976\n4038 57314\n20079 47829\n6498 45861\n57819 84386\n13600 21674\n18154 26241\n16772 60724\n65142 74915\n17904 59206\n29815 68958\n17176 19443\n61019 64204\n26334 77570\n57796 90884\n6832 53372\n31625 50519\n33349 71739\n9022 30827\n6453 52642\n13177 21884\n10005 36826\n25612 78064\n44581 76670\n72214 79688\n28321 82161\n18333 30767\n6632 15751\n11154 76141\n17548 60704\n15985 40821\n39024 88895\n4437 70030\n35552 88041\n55073 90499\n495 1047\n52687 80723\n19608 69478\n7938 76906\n59943 90250\n23484 63638\n280 7780\n691 66870\n58626 83847\n35511 65948\n20644 47928\n58310 83543\n12231 21996\n25516 77451\n12803 51970\n17140 36315\n21853 75430\n6805 78826\n4333 19067\n24119 27563\n5933 70800\n50375 68268\n41455 52491\n56344 68159\n48970 85633\n19139 56093\n58249 81496\n40079 66965\n12230 74479\n10402 49783\n188 11033\n2764 3038\n1134 49352\n24599 74274\n26085 40382\n47726 78347\n72907 88870\n8006 29789\n11114 75765\n27520 63061\n28654 44252\n44014 73541\n73580 73745\n13164 85298\n31013 75867\n35702 64255\n46712 86266\n9476 80992\n3901 57164\n16249 26045\n30104 62735\n13690 53467\n29297 57289\n48721 74483\n20252 73676\n51700 55225\n48227 71883\n23064 77643\n13779 90895\n9191 11689\n56300 80751\n64359 86759\n1867 21687\n14592 33025\n12327 81727\n43219 49365\n25431 51324\n25989 61791\n50713 88480\n87943 92608\n2587 11454\n53008 74526\n21421 61303\n45126 45352\n12366 74796\n45756 87263\n20445 71928\n34371 74574\n18006 77720\n11524 18768\n58184 92117\n27863 51794\n8188 32995\n52419 86813\n9516 25332\n11174 26741\n22268 38853\n21849 35594\n16580 19236\n1542 90776\n14863 43406\n9033 70693\n66418 87250\n32437 70481\n75967 92815\n26285 61437\n64872 84253\n28555 87268\n39334 72223\n37834 52752\n1689 66537\n80550 83361\n12086 27336\n2929 36831\n57050 78752\n11460 93057\n24522 28042\n5059 10201\n56676 77914\n17453 56580\n51049 83998\n62793 73220\n16041 70214\n21270 77446\n49298 58350\n13098 16800\n38874 71189\n49123 83095\n71036 80822\n69514 85452\n12149 89883\n2200 90462\n37194 68495\n29438 38856\n49690 56149\n27112 50466\n56187 86433\n37654 41838\n5496 12705\n13839 92757\n58426 92912\n46266 74501\n47076 53129\n53840 78036\n1922 17798\n3664 10924\n84 30011\n7120 51015\n2283 19555\n2769 23200\n47933 52164\n79293 88546\n10289 66281\n46222 85733\n1161 85932\n11286 28005\n16064 25327\n69533 88289\n10883 86410\n37093 50609\n24413 54693\n9064 52194\n5932 30834\n7035 54435\n33772 37931\n53473 61473\n31866 65232\n28160 58643\n26341 77065\n39318 63404\n20559 38170\n19681 62010\n492 38261\n20450 46998\n18290 70514\n37510 87616\n11823 39058\n24992 29696\n44188 61322\n52606 75135\n11324 42514\n35845 83447\n20268 84672\n73694 85051\n19828 26966\n36117 54095\n48051 93094\n33249 50135\n22461 47430\n36752 57417\n29872 74282\n4515 63313\n36040 61425\n41809 73270\n31705 59548\n30150 61434\n15546 29487\n38284 89554\n18941 26101\n21215 24964\n33750 67047\n4805 48555\n57156 88723\n11641 81912\n69 573\n18936 78947\n28200 43972\n35204 71202\n17802 75361\n82161 82819\n74202 83798\n33192 60126\n25405 35540\n11445 52372\n21012 63886\n26460 92369\n25146 61035\n3816 79180\n14480 43261\n33115 78896\n87645 88293\n34574 79559\n27671 61022\n27570 69032\n4304 77928\n33389 74605\n29283 47532\n2703 31405\n28375 48992\n7778 75787\n17343 48614\n23341 25287\n14653 38047\n70701 76879\n59523 77499\n83860 87789\n39495 51137\n31010 50734\n18412 24233\n44451 52691\n7006 78783\n32683 41634\n36324 55891\n78535 89070\n50822 88730\n34289 91683\n157 21605\n37229 56502\n2545 51234\n16496 77524\n51036 83722\n46789 58110\n34313 38023\n78382 91012\n63580 75384\n47017 88892\n42442 75268\n56639 78850\n13961 89492\n21166 44574\n10447 85958\n14495 66541\n28195 85908\n43375 55611\n19166 48827\n12049 63897\n4049 86607\n19223 34861\n63580 69002\n49718 71678\n38632 39250\n74025 75854\n59392 65615\n37137 63229\n46821 59581\n1872 23870\n32469 33713\n45306 48796\n22935 64790\n61717 65022\n3859 62662\n39289 79353\n21262 54812\n29396 59690\n24441 45835\n75222 92097\n80 62019\n67443 72466\n44282 73775\n8561 83234\n45516 53044\n62253 81686\n25624 73660\n32151 64735\n2990 9587\n55680 85612\n42792 88581\n39121 63182\n2146 92183\n10772 19367\n45014 73745\n32034 85124\n23783 43848\n19173 93015\n11811 17639\n11685 30161\n12504 46297\n53962 58238\n88637 92260\n6188 20882\n85781 87790\n47061 50488\n6255 12459\n42316 80310\n49519 53072\n43582 54694\n29844 66131\n27417 59173\n29353 43233\n31346 90730\n19199 28572\n22783 62571\n52359 92518\n10318 42549\n17028 27482\n22154 34524\n14978 25981\n45052 49904\n54913 76854\n37961 72997\n15756 72405\n7254 55274\n6873 7848\n7534 14179\n35440 58418\n45424 73794\n77129 83876\n34062 35027\n11794 15834\n522 8282\n50938 92908\n54171 71632\n508 1195\n27819 67689\n27596 37667\n4698 65951\n75895 88596\n35632 75398\n68303 90836\n26304 67820\n48332 82111\n22582 37571\n9360 69702\n30870 89725\n6228 11144\n42342 90562\n61643 67870\n21371 67442\n85378 92970\n44220 75897\n42742 55032\n13255 78731\n75963 76809\n34439 69059\n48891 68212\n42718 60152\n45923 86660\n17934 81000\n15890 20079\n1848 47495\n1574 87822\n349 35518\n8441 12301\n14478 26648\n7941 43270\n37314 39984\n7475 86151\n57791 85203\n12432 92515\n35550 89298\n17502 85065\n10590 30800\n39924 51202\n6933 12739\n78820 81214\n12271 56891\n30086 82984\n18406 57015\n17752 73944\n56532 57717\n54534 78559\n33280 83277\n5983 47086\n16985 81596\n28016 57891\n15191 41631\n30131 41329\n6654 52383\n32760 71580\n16436 68857\n2035 3109\n34180 71580\n7939 22751\n65414 83400\n20817 74083\n31440 67396\n57854 81577\n28413 43932\n34111 72295\n55242 75530\n21258 80244\n23359 75587\n1857 56349\n54679 74500\n56749 85824\n23305 92884\n6481 20483\n32603 40717\n21087 90109\n51113 92165\n9034 53981\n65597 81377\n8119 34821\n8241 15962\n4133 55510\n20346 39171\n8423 42989\n36498 57381\n11769 63096\n36360 70834\n3793 7044\n16213 22392\n23355 60214\n11265 90220\n7985 22889\n60997 87251\n68850 88417\n17819 43494\n5499 91275\n77390 92580\n8440 36619\n32971 82868\n8596 63211\n73377 82205\n5234 75338\n10794 53556\n73632 74121\n63432 64262\n26681 74483\n7955 8078\n4 44650\n54046 62584\n7756 20501\n67513 74026\n39622 47139\n59647 92777\n66317 86681\n56884 57824\n18873 41352\n1318 17489\n59908 90252\n28849 58624\n56077 92952\n31610 91910\n25070 86987\n27434 79851\n31233 65243\n13606 69098\n51207 89381\n31691 85630\n9714 88345\n35116 46225\n77815 83540\n78070 81606\n6156 68574\n45125 77124\n49247 70056\n49307 83526\n14184 25583\n34727 63144\n34445 62520\n59420 85437\n1052 75958\n7344 28013\n52417 55210\n53524 79452\n12536 72014\n6370 27884\n62824 70760\n4410 14008\n5089 5451\n19065 36948\n7639 31696\n30141 41743\n63834 82336\n24276 62820\n12225 85299\n32832 54084\n9712 91831\n3094 88909\n11861 65569\n27769 41080\n45811 91426\n55055 57460\n59284 87586\n708 13006\n8285 62904\n39462 50710\n17983 25595\n23014 66329\n13234 89176\n7869 84682\n6323 28456\n51141 81943\n16341 25282\n12901 51636\n32095 75045\n28098 81914\n7378 24484\n31631 44233\n8117 82539\n22114 55553\n26085 75099\n31164 87867\n27080 41268\n12424 68967\n24488 70934\n46076 78030\n33652 89207\n65967 70266\n25909 30253\n49409 81426\n65992 80212\n23018 27675\n7621 10438\n13409 22415\n43491 82621\n72246 85627\n17574 85350\n6828 92674\n12162 35742\n15199 63885\n625 88130\n36580 65325\n35712 45543\n7145 21893\n7776 58917\n11943 49355\n22148 28481\n8316 65580\n22063 80564\n28217 75889\n56719 89641\n5212 92992\n23579 67746\n79781 85066\n55509 82615\n11978 68462\n35983 79994\n69939 69967\n18830 50088\n3465 4610\n49487 91176\n28095 65175\n42449 93053\n25382 53766\n33464 65744\n2255 26836\n44 45471\n5400 58419\n58656 84984\n20066 72305\n27504 77334\n38938 40443\n82237 84175\n56060 92655\n43196 55646\n50564 61490\n7213 92022\n4616 15608\n62716 84821\n9291 43646\n28479 28827\n1222 53067\n51135 55155\n7940 44557\n17115 51159\n33794 37693\n14143 44499\n41059 74466\n13666 75720\n22296 69755\n51556 90225\n29717 42995\n84779 91745\n44614 49173\n15573 90299\n80538 84115\n9492 12215\n23973 31661\n3391 71752\n29492 61266\n6347 28921\n12092 79144\n21288 27888\n19936 37423\n62733 82692\n16623 90695\n22545 72054\n32199 58596\n52672 61678\n6455 7767\n42227 46246\n28134 50457\n40095 91614\n7696 37877\n10278 13289\n70706 89891\n5901 59564\n15631 86375\n18423 31183\n46126 52617\n54735 77635\n84207 92760\n85132 88869\n3790 15673\n35459 85197\n10228 76261\n10502 63066\n39359 45759\n11696 59110\n8369 70908\n11116 32370\n17052 84357\n8984 80484\n30314 33458\n18172 86121\n41837 79886\n59049 85307\n5199 13990\n2200 67942\n24043 38897\n1509 47355\n15551 84178\n11150 78501\n5448 52414\n23968 81133\n26273 88687\n20156 30323\n66356 79630\n36631 72094\n9507 40969\n61736 89932\n48839 86290\n59562 69996\n34832 35329\n66202 86675\n28704 56467\n90041 90507\n1677 67159\n31132 83150\n9665 67681\n19759 61349\n89695 91241\n13262 39455\n11201 86480\n54036 64577\n13729 54187\n41606 69511\n60583 90826\n27812 46000\n23326 70041\n33039 61092\n8457 66845\n45410 73956\n26600 59234\n72088 83924\n33674 82993\n3160 4995\n23918 26701\n46410 82034\n50330 66377\n42597 63928\n13511 75851\n15027 19624\n396 54802\n86632 87190\n58580 68530\n1419 9395\n30435 51241\n13195 40984\n41320 76372\n886 50119\n19088 56435\n29412 71311\n41057 86120\n23634 89358\n47058 88790\n52672 62780\n9578 82154\n622 819\n50284 91659\n10864 48091\n44475 77698\n36576 49982\n70201 78300\n49054 63396\n13137 43660\n39088 43241\n58146 73779\n26599 77257\n9940 45560\n14159 89165\n54252 69282\n21658 26979\n107 60098\n28749 87759\n21836 34464\n40992 64327\n1877 60156\n3293 3449\n25329 77732\n63051 76540\n19342 47456\n13163 46793\n51658 63375\n54931 62039\n42540 64233\n27699 40467\n80953 82430\n24525 88330\n17040 28197\n22593 35725\n84374 87879\n1525 8299\n11143 72284\n4237 9661\n30184 31708\n39639 76967\n51580 71507\n46049 77143\n34790 36275\n24983 81952\n26451 69210\n32730 48949\n4941 54930\n25993 35323\n55305 87173\n89226 91271\n44902 57292\n59158 81569\n7515 53245\n4203 56026\n30420 64916\n32868 86409\n55107 85353\n49131 52954\n2575 68157\n42213 45233\n80178 85826\n38386 66832\n59381 67665\n2729 74335\n31694 54599\n45429 84219\n64828 70783\n28312 43060\n3987 89551\n38957 62883\n32289 41573\n29584 40935\n18861 79847\n55466 71888\n9551 45312\n24363 32139\n25586 29278\n9318 39306\n58913 91579\n17929 38285\n59910 91837\n14358 15250\n2215 46392\n995 91481\n74335 78944\n36571 57313\n23758 48228\n77912 83373\n22949 37628\n69284 83544\n27623 72959\n17638 51717\n61987 75431\n8404 58447\n4117 57069\n31159 35909\n43901 87949\n24010 38323\n29178 85337\n15064 65332\n38596 90852\n26440 73000\n89510 91578\n34355 54997\n36063 52960\n42172 58370\n2489 67267\n29030 34277\n86156 92253\n54451 65127\n3684 15841\n53625 92783\n16781 64964\n25012 74050\n25158 57503\n160 79438\n5342 52647\n87997 89102\n61097 90696\n29227 71080\n40985 92550\n39520 49991\n1519 80664\n5067 59438\n42408 54603\n4233 84988\n1834 3350\n31899 50502\n5785 56124\n13190 36314\n28179 83463\n60146 89295\n58486 84150\n5002 15870\n63871 88376\n52477 59422\n73550 91110\n67672 82704\n43939 51586\n42501 51309\n7281 44015\n26794 92189\n45486 46894\n1414 11564\n47410 75357\n5422 36685\n52196 89428\n8923 25559\n61035 76527\n7483 77002\n42593 60366\n10353 38686\n42199 51963\n13596 16521\n2523 82132\n53173 65109\n45705 58324\n3477 45396\n13305 53341\n47648 51795\n25412 52137\n20461 78606\n9238 68950\n2676 88635\n8566 45267\n65146 88070\n32992 59060\n13295 45015\n61332 75935\n56235 59307\n25603 87009\n45610 87858\n44935 87577\n13651 59602\n23370 27293\n4855 22836\n38938 65441\n51061 56739\n47442 58167\n14998 19572\n38671 78530\n17013 77053\n57823 79103\n2296 18235\n25080 43953\n38087 69139\n16217 59948\n19416 76353\n54090 65398\n23010 42295\n40330 45706\n26604 69222\n69827 83543\n1587 72991\n14775 39838\n1361 54816\n11878 69745\n16228 39419\n58522 79018\n38860 80632\n12852 28426\n4706 72191\n42058 80640\n3211 5320\n43487 58362\n21048 37477\n33772 89814\n6963 49427\n45834 53650\n17372 39194\n59940 86863\n13856 18831\n785 27105\n73124 87889\n62626 92269\n63963 84524\n42674 77182\n33757 59621\n43325 83933\n38492 51106\n735 91310\n61069 63670\n35006 72211\n27875 84381\n6410 86784\n75681 79592\n7679 9068\n60177 87728\n24467 29778\n35690 44035\n16551 20804\n23074 64574\n31455 85627\n14509 45637\n29037 91962\n35906 43861\n15381 26833\n83902 90586\n64401 84541\n35898 59526\n48841 92947\n1503 2178\n23878 23974\n9416 85009\n19923 84499\n40461 79749\n3908 10525\n28699 62899\n18431 70289\n27671 77324\n15718 72495\n11115 55395\n33661 46870\n56507 61812\n37098 55761\n46888 48060\n61675 80132\n65651 82989\n55727 85542\n15978 33186\n50670 54534\n68470 90268\n45903 62541\n26154 33254\n919 83657\n55504 85384\n3071 90119\n6688 54403\n9517 19336\n58713 63996\n23033 34637\n42134 92605\n9822 34348\n25929 48013\n11032 88142\n52043 56070\n62221 68574\n28119 72504\n65238 74647\n10954 26036\n5448 63122\n39905 80821\n16695 18532\n8414 67751\n31443 33538\n18504 19378\n17299 22588\n66640 78261\n831 69245\n12699 16581\n7727 67373\n5214 62897\n33604 74113\n84887 85825\n42963 59402\n1421 90855\n67821 71048\n7461 45081\n33922 83728\n11556 21156\n32975 72000\n18242 70735\n5757 74157\n12834 68863\n10527 89906\n63498 81799\n6966 15997\n12722 20456\n43451 90146\n31523 63205\n47901 75363\n41840 63770\n37779 74139\n4173 83486\n3689 7813\n6393 88440\n14121 48144\n5769 29709\n37099 63444\n22960 54595\n11232 78101\n63257 66714\n23175 60194\n70541 74485\n29287 53249\n61335 66473\n18875 55772\n18042 80195\n14892 85552\n72474 73967\n21310 65638\n45302 76167\n7336 76798\n13759 14272\n17755 60115\n12723 31172\n19032 65727\n50219 51402\n11374 54797\n18457 32406\n31822 56774\n70848 80096\n51928 61743\n21879 66626\n34794 38391\n48161 81544\n54365 71638\n18784 87793\n2639 40294\n28805 83852\n22719 47300\n19151 36395\n40030 65180\n6674 9138\n39667 55926\n69968 76319\n33364 75965\n2459 2679\n67705 81140\n20522 81579\n1973 68767\n26093 55455\n26910 35963\n23945 93153\n31940 73916\n67710 79028\n7147 71243\n52863 70670\n9510 56685\n57547 90434\n32188 43998\n38398 69257\n28428 58859\n31586 79171\n58543 60636\n40554 83120\n29542 90010\n12159 45054\n16247 84637\n15213 17230\n45240 64018\n57427 76376\n31912 86394\n32788 35013\n10983 87500\n73796 82190\n2243 23974\n19757 52527\n24237 73285\n33282 60151\n86550 87880\n16565 28483\n52361 87926\n52178 62409\n2350 89941\n5419 44242\n38516 83175\n29616 68696\n6247 83658\n17624 29831\n51628 52767\n34038 45100\n19098 27014\n42358 52994\n78976 91820\n8283 20085\n34794 74952\n6507 60487\n13377 24364\n39147 44267\n74532 84591\n18826 60863\n27603 36645\n26723 71711\n18148 56141\n18277 91751\n40750 67632\n23959 49038\n46809 67147\n50251 68025\n27257 91638\n18933 87326\n50810 72952\n7892 28765\n23059 66224\n19219 62951\n55253 58359\n42928 50223\n12735 57526\n3400 30043\n13401 33350\n17761 69935\n32688 70770\n28325 34197\n37192 40953\n37457 52203\n15475 70266\n27625 34592\n21438 51555\n64134 76904\n42154 57227\n15887 33185\n28542 77911\n7671 67822\n28108 37490\n63592 71397\n42720 55715\n6080 79607\n74028 76711\n35692 71478\n62541 78653\n25525 64913\n10000 12533\n63630 89554\n21519 53953\n6428 63346\n38299 73498\n3540 33385\n36926 61564\n80947 91670\n10937 46796\n3743 53920\n7940 73000\n34889 52477\n19841 46507\n63858 66000\n9698 24722\n44892 89777\n53647 68603\n39876 47346\n48726 74751\n46809 63801\n515 26368\n25564 33913\n8373 47455\n28928 92536\n25236 77595\n62702 88195\n7526 35280\n23475 73773\n28379 87480\n67364 76637\n15759 29997\n31944 76913\n49691 51639\n38069 57903\n13054 77069\n73155 73497\n81255 90656\n38563 55272\n1125 32274\n3650 36648\n27966 45812\n22978 69846\n45332 57153\n6919 55079\n20700 80958\n22246 35475\n45076 59564\n23900 76635\n58848 76411\n36427 59253\n44178 70020\n18432 64057\n27841 75047\n16667 53845\n31488 91120\n11338 66767\n43176 91973\n37304 64591\n56627 71880\n5535 61146\n25798 52805\n47109 68652\n34659 61862\n15342 87533\n28444 75924\n38882 47568\n74518 86947\n18370 38233\n32781 47269\n29153 81630\n14540 44944\n52781 69536\n55032 80211\n4355 87255\n21262 64549\n20192 69612\n40003 62135\n11691 16704\n62546 64165\n2131 59099\n16085 60069\n58340 91859\n44535 71877\n60268 62413\n17999 73988\n11209 19997\n5417 7048\n35455 46575\n23187 54208\n46986 69141\n36405 93129\n44242 90735\n17751 64046\n24131 48083\n27240 45355\n14754 66338\n41639 76452\n68973 87209\n48833 63996\n48968 83608\n30447 33844\n6804 54893\n47476 78705\n28878 68156\n18415 51085\n65464 76135\n11844 49261\n55665 74770\n28330 56602\n3314 16862\n41698 74425\n27489 62560\n7490 48457\n11782 77605\n24493 60707\n7145 22105\n42541 76770\n15786 74206\n14493 20832\n46635 73570\n61483 80970\n27649 44871\n20663 47409\n58073 58085\n76165 76951\n33721 62853\n5621 25064\n19063 58270\n495 17984\n42930 83288\n53799 68468\n15823 20892\n45885 72529\n7833 41741\n10371 72184\n6566 80247\n15556 55624\n42917 79746\n13131 82258\n19569 27731\n5034 76846\n3169 88175\n18830 83832\n3563 37630\n73866 79965\n6095 76525\n25690 91467\n43677 87274\n31989 43860\n41907 84623\n54249 73949\n62357 90032\n8653 62274\n45273 78499\n62607 80798\n41874 55365\n72207 85651\n62450 74044\n7306 9318\n7066 89503\n10174 76974\n542 18081\n26597 84944\n67237 69605\n26410 91693\n17891 82180\n42402 70953\n27682 61820\n32772 64843\n35974 38516\n43213 49250\n18449 51992\n28634 72875\n33931 80843\n3260 50623\n22008 84682\n41754 56646\n78480 92405\n5061 57466\n66954 70235\n35294 93098\n6690 59348\n47290 53480\n80813 90937\n53664 64040\n54912 92369\n22440 25509\n973 10156\n50241 81414\n66449 69004\n49127 85348\n630 42772\n10137 82052\n3537 54007\n21014 41642\n6321 77460\n28989 83651\n33519 81437\n21891 83182\n41372 86585\n23686 27123\n56989 58337\n36176 65230\n7835 67348\n35592 92447\n23520 59543\n7226 47645\n7843 12751\n16403 60785\n29337 89748\n23666 76853\n12512 55367\n60319 67960\n9440 84207\n35167 81154\n14834 68855\n59381 73731\n71553 71767\n6191 29993\n5423 47720\n7384 31411\n9979 30363\n8127 80470\n53123 91635\n38232 65164\n6469 76118\n43914 74389\n51448 74938\n4569 25940\n22464 35834\n1485 46754\n47231 51491\n33270 33840\n9627 73995\n35003 58686\n59824 90001\n53879 59029\n42081 71183\n15166 65183\n33781 89272\n17124 58673\n55460 57549\n34737 46992\n7542 88809\n15549 50340\n5985 28861\n30835 57682\n10995 16018\n68959 71292\n85540 86097\n6294 57850\n52352 90110\n35487 42029\n56777 80647\n37147 86744\n49 40463\n13253 78077\n35214 78216\n54175 63235\n10792 40589\n6107 38260\n10936 43033\n2789 38484\n54975 78286\n68113 78860\n52065 55973\n71806 91736\n56466 74628\n5652 45028\n30540 91209\n81572 89446\n11092 90603\n67012 83185\n12245 45821\n31121 43164\n16533 66060\n12475 79103\n54384 67616\n6653 90525\n78477 86300\n52978 73257\n30137 32627\n11570 16295\n1161 64993\n56407 71401\n24694 43973\n12542 40355\n30547 76009\n15085 34893\n12414 78656\n16342 39883\n49117 53215\n23846 80052\n3673 80904\n1614 31407\n1199 81605\n22120 22345\n14164 33704\n37041 38199\n44254 76132\n47115 53910\n16918 51946\n51096 57656\n14909 48190\n23933 58852\n66156 86816\n30258 59238\n53027 60821\n76372 78609\n13976 32201\n1536 3900\n6305 78943\n19788 35136\n71728 84222\n678 34928\n14677 14705\n20003 60570\n38381 87424\n24704 58195\n29080 36240\n78251 82103\n9343 23384\n55867 87391\n2176 70581\n20488 23700\n4842 78795\n1011 1535\n10913 19902\n12277 78953\n79021 86258\n5061 9880\n33843 55914\n12788 38074\n55422 79711\n796 37611\n24894 75578\n20453 45705\n33570 84797\n34399 41207\n58657 76670\n5272 27668\n16441 82037\n10287 28428\n33291 79619\n7506 74496\n3363 81482\n74517 87758\n6130 27878\n17844 70509\n14265 57644\n63844 87810\n6292 13274\n74818 75166\n31857 55518\n6714 74677\n11939 64723\n16335 31518\n19411 83812\n7148 68738\n14456 81069\n25053 80215\n49958 81017\n20727 49747\n29059 52978\n48010 83376\n1989 77227\n17753 74365\n37074 51002\n59067 59403\n27711 58507\n39740 70243\n38362 65628\n54944 79032\n25671 52968\n90 56664\n19277 51104\n2102 36798\n68005 91835\n9334 34089\n21903 29105\n45886 55735\n19688 27756\n12902 41272\n51558 80104\n15783 72781\n10333 37663\n47460 53332\n21530 64878\n54547 64279\n24342 31357\n9273 25559\n2081 45377\n36720 67377\n32825 88843\n9814 58297\n52866 65228\n1337 50747\n1604 18398\n22656 91296\n34890 61473\n39452 78693\n1245 22392\n25955 31536\n21612 55678\n60736 65516\n79471 91176\n10113 59767\n44197 61859\n12409 34607\n27282 84350\n60553 85273\n63226 81228\n56347 72462\n32017 55308\n45918 57596\n6709 87695\n38084 88685\n12582 37679\n26183 81622\n1219 9508\n18901 82610\n42707 77123\n56495 74355\n1274 52914\n20094 86168\n19179 80757\n5006 66105\n45354 62807\n385 37959\n21513 81162\n7589 69093\n11885 79317\n2245 80988\n9208 68121\n5202 29911\n11116 51140\n4854 34139\n37777 80126\n48641 75129\n9018 82911\n44071 87945\n66761 88914\n210 76815\n40239 66762\n83934 89581\n5598 39955\n33649 89609\n79517 84423\n32209 90529\n20348 79650\n8849 40136\n46920 66477\n16865 54348\n73594 86477\n56028 86014\n5455 25661\n3967 90223\n64542 86590\n33330 46635\n37297 82973\n21502 82129\n29286 67707\n1090 90258\n18726 20695\n16349 26831\n11582 23210\n25251 42391\n65701 90707\n8694 29135\n19521 72614\n7964 70985\n45745 71428\n46772 68601\n68768 73928\n7862 64237\n12175 49251\n28799 48548\n10839 91941\n39606 82109\n32313 89619\n34283 39131\n2871 22641\n21797 87714\n32806 92276\n34317 40801\n22265 52254\n7043 44257\n26033 85746\n837 74428\n29457 80957\n37663 76388\n28263 78909\n23195 40938\n39362 74664\n14892 67103\n45370 66105\n56251 80674\n4262 56077\n8118 16922\n53468 66383\n25731 68428\n308 74082\n23628 91790\n5320 79785\n42778 76478\n63646 69792\n13761 79420\n10659 92786\n13277 86670\n19053 79443\n3095 70536\n11220 67219\n345 89578\n41402 69278\n2428 68459\n584 77763\n13227 42607\n16869 31846\n27576 38955\n13758 23664\n2187 38231\n8461 75920\n2448 73670\n559 31161\n5397 77706\n43093 71279\n39564 73109\n1805 89657\n66892 68239\n14571 64556\n29649 84512\n23514 87364\n11711 24916\n28817 72290\n36746 64911\n52810 85736\n13200 15903\n26190 48616\n4680 40038\n62926 79284\n7118 53465\n84845 85505\n6982 36579\n33369 50706\n46858 92045\n2232 17286\n48708 60484\n73114 88398\n17765 61950\n16952 49581\n34776 92152\n51839 87684\n34393 67721\n22124 73214\n8773 85121\n32330 75289\n54167 54366\n44658 77176\n22461 55552\n27232 84838\n15443 52533\n14068 14851\n6972 9756\n6256 32531\n9001 48576\n54221 89235\n21638 32336\n60868 92546\n2477 91876\n14512 17697\n50695 74386\n68837 88895\n10428 67583\n9931 37205\n43533 86260\n44996 60575\n41440 64713\n46264 81263\n17457 63345\n58868 64974\n39948 70170\n3680 29503\n48512 89998\n6981 42901\n18544 43954\n56824 73415\n23905 44258\n36901 82005\n53722 60579\n16304 78911\n13819 28554\n37482 64676\n67844 70560\n58000 61095\n24077 84603\n61229 66488\n17786 90713\n80461 82189\n22740 83138\n777 80304\n81601 84756\n63274 87089\n45022 50308\n68640 71704\n32704 52977\n25603 75500\n44259 67758\n63741 82655\n15741 28916\n69621 92223\n70875 93098\n12713 41501\n38203 76658\n15312 50987\n42809 47221\n39095 48238\n36288 65232\n7931 62494\n35481 54562\n6683 88764\n16040 89498\n20549 56761\n26947 62983\n63434 66989\n7783 16044\n5294 36829\n34038 66222\n16663 25634\n39451 60589\n20721 80073\n11266 60520\n49641 83827\n83174 83854\n14208 50939\n32478 90777\n1223 39733\n6904 18622\n25007 53047\n10252 83228\n4686 22266\n21074 57633\n31921 77213\n54364 71394\n32604 40031\n47441 80409\n20117 39432\n19194 28223\n6450 62420\n25590 47908\n49608 75366\n16415 58397\n40051 68147\n23183 69602\n1647 78414\n37494 90656\n10953 38793\n88888 90106\n6919 40702\n20507 27627\n50381 68144\n42501 87013\n7236 31901\n19303 84856\n59638 61017\n13459 22138\n7346 87298\n20749 47591\n68735 71486\n9575 48561\n51157 64997\n57523 82924\n5135 86708\n33314 36222\n23322 31799\n64419 69204\n28667 56128\n1463 19881\n83056 89896\n55988 75504\n33219 82432\n25272 80573\n22882 65629\n24974 67830\n24059 38305\n45380 62210\n28519 30250\n17219 35702\n34330 84051\n22277 34318\n10307 77981\n13258 44984\n3346 40452\n6788 86787\n985 1244\n15897 90981\n25833 86999\n33750 36036\n94 4963\n20923 75145\n28273 77516\n53296 54953\n10788 11887\n11069 32459\n38034 53613\n41391 60552\n25646 82987\n17526 65216\n34249 35128\n36674 63983\n62020 90126\n153 53699\n41334 46153\n82269 83587\n14103 55417\n48574 86448\n33470 53060\n8047 54934\n16902 47828\n52156 71787\n1459 90232\n29142 84326\n64211 76109\n2365 58172\n52185 81128\n33079 55476\n4046 76425\n42525 88379\n28219 46136\n12965 49641\n24064 44037\n2326 72233\n26050 70515\n9679 79214\n2790 8648\n57591 67087\n6298 50437\n7335 49218\n39063 42901\n4674 41975\n22129 71509\n55710 87764\n664 55621\n12102 25135\n30768 41762\n21501 35356\n64764 86445\n22288 64486\n11466 39579\n36343 88701\n9955 64499\n4402 39126\n27603 47701\n9155 91172\n28982 68501\n52238 69437\n22474 24603\n64284 83712\n4028 68170\n65734 82772\n24079 57713\n59453 71093\n58492 90602\n27255 86250\n72699 76337\n70787 76794\n52033 66004\n32373 38556\n20568 90591\n44713 82445\n24472 89881\n16116 90441\n58525 60927\n19463 30619\n8270 87785\n37070 87253\n19733 33049\n35075 64648\n69176 72593\n19627 69838\n69432 82020\n789 44978\n8399 27184\n987 78433\n17667 52665\n15313 34719\n44953 80113\n20233 78621\n53388 61997\n7645 74261\n3570 52878\n26255 77880\n66690 91064\n36448 87985\n9931 54211\n16234 36321\n19898 26352\n14889 50794\n27926 53539\n26161 82660\n35081 68559\n21518 72427\n34842 65256\n16847 74888\n1638 66645\n21020 55853\n47891 65069\n63437 77449\n31217 79286\n76055 91075\n9529 29913\n1962 22345\n3369 87709\n10833 91731\n89847 91703\n52204 91968\n20887 90517\n10197 80519\n3982 45004\n41293 65439\n15572 77018\n24247 68289\n30029 75528\n73964 88000\n35322 51763\n25180 42250\n14591 89918\n27105 92887\n27236 67448\n3298 15658\n63380 87599\n8734 27054\n42806 62773\n29168 78144\n9791 40201\n25648 31956\n1641 20781\n8462 66775\n3088 92329\n64325 65561\n71131 80032\n3145 79479\n35468 44030\n65756 85493\n17741 61282\n13803 16196\n31474 83528\n68321 76335\n78777 85504\n30126 51449\n45452 64779\n38976 90754\n23328 62677\n17565 81485\n568 89520\n56973 82907\n24219 51834\n23804 36184\n8917 17959\n13522 77004\n41741 55961\n63266 77372\n71186 87749\n19000 41937\n27643 42608\n10640 24006\n13704 66680\n12090 55829\n30136 31642\n23114 24788\n41199 83234\n2899 77157\n59137 83486\n2964 5756\n7136 22144\n23799 62339\n21700 76586\n41224 41515\n22954 25145\n4005 60182\n60819 61340\n39804 79785\n58590 59638\n7631 22684\n83223 89748\n41672 58096\n2391 67565\n72417 77265\n37221 44434\n32488 47806\n47584 66299\n12934 46339\n45269 80269\n27579 32289\n10515 14006\n24456 60330\n19347 70633\n16868 34717\n27638 90953\n50926 88252\n74590 79995\n73075 78295\n2811 39910\n22143 68620\n65469 73366\n7246 35626\n6663 13174\n15074 40480\n33889 52704\n56528 69101\n48654 71058\n32515 73553\n1272 80816\n30860 83391\n78781 91054\n3995 36005\n13756 13944\n19702 68967\n44281 68237\n13278 44267\n30920 62086\n20231 59054\n40599 48081\n4426 80829\n8278 18457\n52317 71334\n5096 54191\n39829 59777\n7432 78443\n41574 70329\n31564 48830\n32872 92888\n15200 80110\n29258 34267\n2599 46322\n57657 63334\n48169 80533\n78624 86069\n3667 76490\n23179 30596\n18698 91749\n41706 46077\n411 22301\n21081 34276\n71639 72515\n6341 58630\n13727 80684\n9152 88094\n9767 91496\n12650 53885\n12359 20169\n23887 67637\n37620 86640\n18365 22558\n3723 5127\n38451 40733\n55800 72688\n71554 73085\n32072 85464\n2382 25708\n16623 89959\n45166 55018\n12847 14612\n2490 4848\n30406 71403\n39192 84214\n32157 73019\n42675 73673\n18515 53135\n1742 28318\n13425 57715\n10403 49587\n40886 91004\n59580 88067\n71865 78110\n38791 44672\n15914 18235\n36790 38032\n58892 79138\n30502 75707\n25031 87926\n4148 72218\n39832 62121\n16690 84969\n9863 24141\n10333 26075\n28765 85005\n31689 87794\n68650 74769\n13673 59925\n46487 71517\n8440 86459\n23020 33649\n20844 80505\n48362 52073\n3804 42869\n8345 78185\n70839 74822\n10762 58325\n45718 70083\n18775 65240\n66480 84240\n6287 39854\n28508 64764\n1898 80116\n20264 81020\n57419 60075\n8242 51948\n43634 61088\n36234 63059\n28297 59708\n36938 39435\n16148 86730\n37436 67166\n69905 74587\n37813 54588\n1464 28890\n21334 63523\n5271 32501\n40311 52360\n21846 60822\n62046 89039\n12164 91399\n43718 73938\n55794 92118\n12547 13402\n21363 26119\n26091 51376\n21387 86568\n13000 31499\n13523 68946\n18228 25407\n14428 43499\n70095 81921\n72736 89260\n41487 56701\n79494 81712\n5944 74030\n46239 81484\n42811 55800\n5817 21234\n49325 84596\n56453 79955\n52059 79430\n17913 75868\n20686 26697\n7036 54063\n23277 55741\n16750 39010\n67952 79948\n14586 38138\n21908 92419\n27259 80228\n24960 45506\n317 73486\n52277 65825\n24840 45735\n4858 54829\n3438 37738\n21869 22360\n54535 65528\n46248 58612\n29312 87502\n20921 69754\n8364 15443\n6000 16724\n33644 50433\n36907 71275\n18603 49868\n40535 62005\n51967 82947\n896 84343\n5542 63942\n10262 45248\n67555 68421\n20669 64846\n8561 88131\n47420 83953\n69381 92034\n12842 48555\n8521 10340\n20002 78713\n415 19876\n27016 82369\n21014 74740\n38065 84927\n6328 40378\n76222 83115\n28665 64926\n19868 59135\n22167 38263\n25439 39335\n80019 88398\n4995 83806\n12310 92142\n23839 54615\n39228 52224\n18193 77310\n28911 29994\n28195 87704\n50396 88951\n9908 44844\n22629 25964\n22100 35067\n39084 86920\n53912 69955\n21203 36002\n19810 46250\n58937 88858\n63644 70713\n30243 80339\n19062 85928\n43314 60386\n1879 35932\n38142 82236\n9924 54978\n22777 35494\n28861 78120\n1832 79806\n46323 47647\n1111 78841\n26591 61641\n1372 43685\n11413 29003\n56253 78563\n6789 45954\n8705 19681\n35151 66897\n38366 69613\n43874 78881\n18806 76212\n10913 87781\n46807 82078\n6252 72800\n17885 64069\n23583 24557\n67174 79155\n58313 73679\n8741 28059\n28718 61534\n29715 31619\n83425 88416\n23924 77977\n498 65531\n44431 72180\n11317 31297\n4694 13230\n6278 21692\n2458 85833\n54680 54892\n42617 69720\n2367 81067\n8962 92942\n14804 57423\n18545 29417\n52365 89328\n7910 64193\n31287 83728\n52167 55496\n7704 87489\n54967 91935\n58032 90210\n11415 91620\n73797 86211\n13568 72787\n77123 84765\n69723 78130\n68802 80426\n644 53905\n68530 81142\n14679 73307\n15179 63486\n21492 43495\n73972 91496\n16952 56373\n3104 39277\n17793 87800\n30333 48368\n11685 61467\n19336 50406\n39316 89776\n8534 61778\n43338 56234\n21961 86839\n1906 35775\n32971 48074\n49039 50095\n16129 73297\n57773 57931\n8237 76402\n20024 77347\n6792 72685\n14745 31132\n48321 66484\n19638 47302\n14388 65260\n67746 72334\n20392 23121\n5168 87115\n1994 90758\n41937 91570\n40855 54728\n15675 46509\n22056 56119\n678 34101\n38195 41760\n69865 79488\n49318 81104\n62522 75864\n533 32420\n32278 73866\n58223 58457\n36963 84160\n11257 25617\n27106 92943\n85430 87005\n37214 87629\n18635 92276\n34644 64952\n21843 77493\n6425 41646\n35335 35445\n30129 42340\n1267 5123\n12421 33735\n5561 70422\n23310 47743\n21068 60913\n17457 83245\n25831 76427\n36566 55115\n73895 74078\n616 78709\n66018 77371\n17845 59504\n41138 73295\n33170 45705\n226 61203\n5581 5792\n36428 71391\n25435 88755\n31638 61404\n55252 62225\n16444 63258\n54828 84891\n4146 47261\n19617 77111\n23726 81785\n56818 69111\n10698 85956\n4759 27309\n26512 91113\n5071 35395\n31067 38389\n41259 73396\n31624 78237\n78228 87089\n38590 41330\n37244 54742\n8021 74055\n30650 70756\n31025 55636\n66147 66933\n11597 79796\n34981 87966\n13580 73561\n69812 90832\n32402 41560\n69407 77410\n15567 37478\n17379 89833\n2423 18620\n72160 85228\n26028 49407\n2373 50275\n17262 61907\n6704 56208\n895 48242\n24314 47878\n46493 85711\n33542 62890\n36411 61511\n40166 59292\n43135 82123\n36816 44727\n37625 89708\n45834 67475\n23591 44957\n65680 78195\n22515 53485\n45201 58859\n58732 75035\n64832 72987\n83329 85534\n27729 64254\n36742 77672\n34148 65874\n12623 39930\n4459 88382\n24662 83499\n22875 78656\n18522 35347\n31918 55214\n4247 50789\n1707 57654\n36367 91979\n20233 73846\n22551 79495\n50981 81268\n33981 63965\n30260 48862\n10576 19175\n37406 60436\n2596 73536\n57169 65915\n73466 77497\n24434 59605\n15932 24218\n26455 38055\n20778 46274\n74942 76542\n9287 25361\n37989 69646\n48190 71770\n5363 36013\n1566 71328\n42923 75368\n42802 65887\n33860 45369\n77934 92729\n51131 69617\n6100 42696\n10509 52248\n6500 84666\n16967 46786\n20810 87941\n18416 71522\n53135 83164\n49623 69802\n29698 60617\n26888 57859\n10430 78767\n15295 18098\n38635 87191\n1067 89001\n28505 77593\n15030 58279\n22784 81648\n73486 85091\n72270 74189\n23786 34490\n37851 81485\n869 29756\n56078 87905\n3184 39501\n38695 42253\n37294 78191\n24558 27477\n16340 62548\n43351 46029\n11221 59218\n39451 50506\n1902 21034\n43906 86508\n60941 81835\n19760 91205\n43212 46513\n17044 68825\n49181 86391\n21239 28267\n59961 92430\n42268 49156\n80115 89968\n18856 80983\n4574 51641\n39459 66204\n60371 86978\n18615 22682\n2671 24811\n27443 91504\n83273 85047\n47232 88517\n51521 77990\n48733 57819\n35476 51539\n11585 18312\n19293 61602\n196 5377\n23248 57667\n34874 74163\n77752 78382\n31762 83983\n15942 17864\n19401 66356\n23873 79114\n18528 33786\n17801 71245\n37158 61012\n41537 72184\n71338 90262\n30839 31163\n54175 59992\n8426 12125\n28175 79624\n64080 68704\n48902 82183\n12869 58941\n2669 85334\n17742 44932\n45370 74610\n4344 6884\n52139 66689\n83097 85875\n14122 33283\n20031 58968\n17330 89134\n80456 81887\n905 56498\n43299 81512\n9737 83217\n10147 44674\n41146 70402\n20050 81688\n45995 87278\n37177 48859\n80527 88131\n36814 78021\n4040 20228\n13718 90602\n19852 47748\n115 27118\n40694 79197\n18356 26051\n50998 60043\n7502 8207\n77294 89174\n22445 75492\n3274 32264\n41139 89345\n16967 60730\n1125 27517\n6319 21630\n55192 63587\n7564 90694\n10566 83110\n9781 43957\n60018 65021\n48000 88526\n5569 19077\n2400 14942\n79979 85312\n5050 16114\n7125 35206\n12242 22145\n77433 79575\n16706 70791\n26205 83927\n58279 89732\n12154 27303\n49216 56880\n43257 66314\n40559 76688\n58209 67250\n5843 22035\n47398 50059\n11088 68843\n24132 61208\n37990 84064\n3006 16233\n43657 51919\n562 54880\n12893 32572\n7164 92156\n20049 31692\n46393 63403\n47354 65331\n55600 62790\n70822 83669\n32232 40582\n41389 62762\n41853 74701\n36496 79396\n20341 76096\n44108 78649\n80251 80291\n14951 57921\n9164 35482\n33448 77572\n9640 63752\n61811 91496\n8442 22979\n83328 84489\n2822 52283\n15358 66676\n19191 83144\n38297 91951\n30097 83439\n70765 76598\n48323 91782\n11007 67905\n4867 89643\n38895 77978\n55173 60971\n3503 17445\n52890 65276\n9780 27935\n1628 90303\n65945 84185\n65477 67742\n45225 56138\n46843 49176\n23500 27187\n61077 88658\n59181 67786\n7255 15758\n7501 27714\n29943 60081\n24069 82614\n40026 46017\n6180 7819\n9884 90574\n7370 13434\n32983 69812\n173 73180\n1229 85445\n7936 50949\n5524 41172\n50493 64990\n9712 34285\n25553 60362\n85442 89456\n31557 91374\n30418 74015\n69618 76552\n3490 79027\n2910 34074\n14723 91818\n10191 73874\n19185 45132\n77271 89552\n34906 64823\n8948 75981\n20656 82872\n45660 64750\n80041 86520\n13971 42593\n41453 53599\n73479 82983\n5656 31579\n10317 11371\n39511 72152\n59949 88325\n50036 90379\n25820 65392\n21852 28469\n23716 58577\n22143 38933\n18496 90598\n74897 75623\n25907 39600\n35460 40415\n77267 89374\n19295 52038\n9214 60160\n77261 81321\n17538 77084\n43035 48664\n34405 48033\n7609 32190\n25915 45057\n15352 87740\n13625 66413\n40418 61978\n41841 61696\n10224 11010\n6221 25660\n32374 73562\n34193 76092\n27579 68989\n32971 75339\n54668 76740\n41159 44835\n19712 55189\n30024 72014\n41993 71343\n42749 48450\n61822 89535\n20980 22295\n13530 16524\n60766 64996\n19094 50463\n59569 80439\n6412 63088\n11026 30718\n33614 60021\n9731 74962\n11530 63097\n55538 79194\n34329 83488\n32759 76764\n3219 42759\n11277 15983\n5533 12410\n5563 61953\n6917 28708\n38342 58714\n32423 34541\n17206 91865\n7612 33074\n9192 33345\n55557 64694\n30780 88152\n11413 36571\n16274 27210\n35723 69510\n78388 92155\n21068 48060\n6810 44240\n39944 62018\n6233 84925\n77356 88992\n11582 38129\n18762 90061\n33353 91597\n47459 64307\n10311 23367\n19404 22419\n42164 75396\n39708 65791\n6938 43038\n14154 68988\n23037 26396\n25010 35544\n25878 54758\n10112 88281\n9375 10453\n21812 28141\n16267 67191\n43185 66460\n28051 73942\n28769 70308\n77296 90724\n41892 82552\n3182 27762\n5241 68668\n31436 80532\n44310 79829\n51889 68040\n36065 53144\n61521 70297\n334 11789\n156 21633\n8022 56338\n57552 77609\n11647 58416\n45438 90883\n28755 31072\n34818 55444\n48070 68971\n31152 79366\n52815 92639\n40447 67136\n4517 28817\n20848 29488\n21550 44570\n29669 55416\n39671 76244\n4208 60855\n12456 20616\n22980 64079\n5025 46873\n58569 77675\n17451 41810\n52367 60575\n19230 58010\n38641 86227\n47499 87360\n82486 84112\n4162 60241\n79692 88560\n7153 86376\n16874 32939\n26005 50781\n26062 80966\n34434 82382\n14052 63198\n43547 83334\n7435 69953\n44451 78076\n3743 74605\n8195 27384\n41409 63461\n25844 31477\n5531 34482\n50420 83424\n52873 67945\n12131 22786\n14007 53963\n9526 17291\n5651 60943\n32618 59336\n38865 92130\n14015 46627\n24288 89012\n204 68743\n19042 38781\n35750 76992\n62968 70488\n13048 77566\n7747 85629\n33667 43328\n30883 70757\n24593 80157\n10236 46062\n75858 84498\n23338 42344\n40976 78852\n9325 89080\n24803 58836\n4621 75532\n18441 25671\n40586 54983\n11218 54900\n68095 89148\n10247 45916\n52034 57528\n26204 91406\n38125 87387\n40730 68545\n10260 80383\n43644 61379\n79838 90896\n47827 51087\n7465 50023\n34557 47310\n7387 50594\n51981 81062\n27680 73950\n35253 83618\n7425 92806\n57572 76818\n10475 29195\n50547 81950\n18581 39063\n2201 24063\n29373 52248\n19987 21637\n1164 53797\n35961 61465\n35706 38696\n52353 72100\n365 33055\n41460 43436\n10007 37653\n25414 68507\n22314 60202\n29697 60938\n14425 69566\n36418 40253\n14880 20901\n26931 51369\n41150 59298\n8650 11079\n27764 35885\n5017 25531\n56999 71328\n53528 57993\n47686 78143\n32243 36296\n24787 43009\n60455 91138\n35598 63801\n61469 80275\n6885 27084\n18073 60571\n13037 81516\n9091 61821\n24138 27745\n57507 62903\n36994 72524\n7292 61642\n27998 73323\n70038 75281\n46170 67758\n32973 71462\n38500 51701\n2845 74201\n31992 59291\n88980 90416\n46744 83535\n52371 55052\n80421 84233\n45197 56520\n49370 83176\n42158 66270\n31226 89932\n26652 70589\n11499 47131\n50145 66213\n51305 81546\n70678 92783\n69525 76861\n58656 87754\n4412 6906\n11232 43867\n22274 63249\n27284 45451\n17733 50453\n8694 74545\n45594 48180\n38587 55405\n24045 32948\n1773 32184\n34099 50460\n29506 85558\n15662 77788\n66086 81533\n19731 83228\n1948 47347\n349 40738\n12448 92916\n11334 60429\n17773 88899\n43784 91364\n32512 90200\n51837 73494\n39116 76704\n5243 45191\n13777 36080\n14694 88756\n13449 38443\n68787 70103\n17753 26755\n78179 83654\n90533 92380\n9594 24926\n1502 28055\n22551 63010\n53449 62317\n44739 53993\n47307 47534\n21630 35178\n30054 41024\n76384 88915\n17233 55209\n70656 73791\n12351 53455\n42850 86549\n46406 82370\n7264 91433\n29618 72204\n11689 84469\n4436 50092\n11606 60276\n6937 70672\n183 28399\n24263 79652\n23861 62703\n24314 60247\n67703 81870\n87267 88675\n50910 71049\n20952 50719\n379 23177\n16109 76144\n76368 91230\n12748 25858\n25422 51153\n24667 26713\n17712 65814\n3252 32635\n45262 65374\n73469 82070\n6673 45837\n16392 32924\n14245 46528\n20993 38730\n10943 41121\n77715 88584\n37081 82309\n15911 64105\n7195 38492\n35239 73990\n23342 46652\n56510 85707\n13870 81059\n86507 87324\n61534 74650\n12260 64366\n40560 48573\n64545 82339\n17705 78879\n22448 47282\n47481 77578\n8136 81259\n51644 56878\n18912 38260\n47650 77046\n7517 63842\n9891 73912\n5863 61337\n35524 78236\n21428 55177\n69989 71034\n88214 91899\n13463 85736\n10927 23923\n25631 90626\n10299 51903\n59283 85586\n40476 79034\n13196 27498\n40401 89935\n13337 91300\n3965 91614\n52579 60023\n50185 67916\n5714 35478\n13280 78066\n38122 79118\n34848 48409\n33748 91470\n46304 49259\n24640 45633\n259 260\n10972 90951\n33279 85945\n11245 16035\n10373 12723\n5871 19124\n2865 78420\n24933 79188\n11729 13520\n41186 65924\n31102 47875\n32467 74878\n14891 37894\n48804 68927\n18107 24514\n37121 41078\n1759 20556\n27463 61839\n15356 17786\n23568 33552\n33689 81041\n46129 62418\n1468 86474\n23057 70768\n3688 71303\n46915 89751\n8688 11626\n16944 17956\n73313 82144\n64488 66998\n27006 75865\n33028 87490\n6607 6719\n5989 34902\n52178 61525\n71687 88391\n43533 62644\n37888 61288\n65643 67925\n36640 89118\n1638 56304\n22946 40914\n21293 67785\n31049 77916\n13439 27746\n24625 38958\n73429 86112\n29718 54505\n21740 46132\n6732 15393\n21410 80661\n39697 79234\n16329 59570\n5127 28409\n9212 77299\n23403 51583\n21679 49714\n86879 87914\n78 47546\n4822 9015\n34395 51517\n65513 72768\n19353 48933\n3852 72373\n23877 78900\n72152 85060\n35211 63648\n51255 53645\n10806 42674\n45657 53030\n4221 70996\n35955 90527\n839 18824\n5954 88446\n24110 87532\n40585 85017\n60230 80375\n6115 33402\n32414 68850\n42238 56844\n25845 52943\n15241 81462\n4156 26253\n16169 25796\n45893 62053\n76674 92464\n29047 47037\n39192 63564\n31915 52815\n25726 89716\n7023 78991\n34617 40504\n62319 69891\n52186 57735\n53523 70278\n31831 48014\n3539 73161\n10145 43373\n73778 88577\n19437 69426\n84813 89922\n27077 52167\n64316 74766\n4741 67741\n33931 84358\n12931 62583\n81717 85852\n13580 31589\n1036 23120\n66733 67456\n4781 6693\n44370 60584\n11019 58163\n12523 69929\n29715 38760\n62571 74135\n46379 51158\n58006 61354\n45927 65961\n55576 73985\n19027 62442\n34673 50498\n51572 90117\n26828 82936\n29249 63592\n11109 88727\n26288 49326\n37591 75475\n64656 70189\n12586 72413\n38643 78172\n3900 61896\n39306 70967\n75903 89178\n35264 55708\n13813 32561\n16923 40048\n10863 42801\n16354 71611\n33434 71923\n49261 79515\n24751 32654\n18373 92624\n53167 66761\n43215 92004\n21441 33524\n25080 87832\n15054 79975\n44639 68027\n11568 46744\n56461 82030\n11739 30720\n24285 80363\n22934 24596\n35443 53170\n52126 74131\n11306 64496\n8963 18536\n41248 80754\n10981 38697\n44822 62472\n35079 54290\n70844 76616\n9664 48008\n68477 78175\n18444 31832\n66 67463\n20675 78191\n25515 81359\n13098 23346\n49169 74461\n26776 86652\n6174 35125\n39220 44778\n50277 55513\n17014 23820\n5722 53850\n28420 53715\n68098 80808\n64415 71437\n12474 75060\n66012 69852\n28124 84184\n24721 86690\n60980 62005\n1006 1416\n2568 40332\n3284 88401\n48490 81477\n58253 63851\n9316 39288\n8879 77670\n15670 43732\n7468 42608\n23732 72585\n7234 63021\n27212 82046\n31409 58466\n19353 84008\n12458 42505\n14978 42327\n35607 68346\n22507 70050\n40499 60285\n11728 40580\n34812 86684\n37208 91893\n11634 87328\n69938 79716\n17275 52219\n12917 63953\n3821 40450\n14752 16763\n87587 92300\n23999 61119\n686 23909\n38735 52243\n35746 80238\n40402 66670\n36223 61385\n18617 86685\n16583 27612\n80365 87031\n65153 70596\n6 13845\n32071 49897\n10779 47555\n18360 37581\n68923 71977\n35025 47264\n85690 91225\n12798 89644\n51043 69026\n43846 55206\n7423 51320\n2965 63740\n34753 89934\n49070 53855\n45593 63191\n30857 75048\n59633 67482\n50159 57664\n19993 76613\n17152 70274\n40817 74455\n27868 90644\n24203 68064\n75853 86925\n354 79655\n30635 78023\n29117 85445\n49830 68774\n38867 43000\n958 49361\n12536 26034\n75080 80695\n59714 81198\n30304 91418\n10422 28649\n13286 16112\n69710 74458\n13660 24755\n3154 35873\n24579 28259\n50260 69079\n11230 13808\n71264 75645\n11111 65617\n19112 30918\n43461 58886\n3203 55789\n18442 54982\n11500 68260\n45394 61852\n21827 75845\n42302 76514\n11209 47740\n87797 88361\n54517 83791\n7238 23238\n14401 55149\n3258 16142\n23191 44832\n25446 71688\n53483 88155\n14233 34221\n27922 44302\n67447 87266\n46841 73566\n17215 60150\n36411 57817\n24954 49225\n16894 70981\n43379 73233\n14094 38091\n22092 66543\n21325 23655\n47704 62034\n73552 77924\n15803 36856\n1191 15918\n49870 87883\n39520 72996\n45581 76738\n5615 76935\n59124 70934\n74029 75565\n1295 19356\n32947 33310\n4108 35391\n17412 65104\n53207 55137\n44319 92287\n41264 60873\n1783 32882\n62759 82576\n47102 88733\n43994 82313\n5265 10277\n1228 86426\n39455 44319\n22211 23931\n63228 83250\n15320 23853\n72675 89667\n74983 85049\n42372 51804\n7397 22538\n32305 49096\n21506 87926\n37007 47258\n1172 85767\n69854 92241\n41103 73689\n49183 72236\n47297 80765\n47755 67512\n10972 20834\n38059 53679\n40027 84090\n1851 50630\n6240 75947\n23682 75101\n2052 53235\n39786 88632\n56826 57480\n36065 48300\n53062 63671\n47366 80342\n6287 90933\n3173 41941\n6817 34166\n53265 80168\n9133 46199\n2121 12922\n13993 25088\n25531 40239\n43254 67522\n21945 85093\n21400 42455\n14001 55915\n77721 91396\n19027 31663\n392 43299\n40107 72590\n4628 29503\n18246 68590\n776 48675\n9744 25234\n39628 75679\n21147 50650\n60341 79893\n17106 39676\n51174 72710\n32343 65357\n4474 68262\n34532 38304\n3012 56631\n43950 55738\n45833 82549\n6522 71558\n75648 79224\n31779 75675\n781 65921\n11152 17660\n7493 70702\n55838 90221\n18660 52759\n20662 48374\n34918 88048\n3787 15658\n9176 45187\n32044 64254\n25936 42184\n12865 70431\n54210 81783\n17122 67547\n13502 74056\n4385 76368\n41255 63913\n25367 29459\n79220 88452\n37116 56857\n75654 77334\n58354 86169\n7152 21023\n27781 81662\n22467 37253\n5029 7026\n9212 25248\n79385 82829\n791 26919\n16438 48111\n32214 84276\n14204 43190\n87660 88467\n563 82924\n25036 51794\n921 45454\n25854 64194\n55618 58859\n22044 35884\n64720 88817\n25327 68942\n41706 85776\n42607 49401\n61931 90400\n62885 64594\n2537 9875\n24562 47469\n33970 48729\n5387 71143\n46506 76445\n27371 57806\n54790 57158\n22278 50466\n8861 73597\n9666 9826\n46302 47156\n22204 74560\n7616 35177\n7200 51954\n45140 79120\n17741 69730\n7861 76174\n3132 58313\n83075 91280\n5669 38810\n20790 43751\n28277 69316\n43291 52046\n38083 74333\n28623 76352\n34132 92138\n20255 34282\n74808 78044\n9548 68658\n18527 45332\n78692 86649\n22250 37960\n20605 84610\n3310 52141\n1673 79215\n16843 32703\n37204 50140\n49619 71688\n31501 77907\n46044 54110\n36840 59720\n9559 64888\n17829 21121\n22828 55620\n12585 48551\n19991 31506\n10848 77971\n13675 61475\n2663 30836\n12824 71325\n33398 69974\n133 87717\n1862 86813\n5302 63306\n27519 91069\n78549 82199\n29348 65760\n53833 88962\n29221 78355\n1819 57536\n55215 91877\n19596 55885\n11955 61672\n20328 51421\n1728 17811\n25800 55937\n73198 73662\n47734 81802\n30045 67226\n74489 77214\n27663 59832\n52448 84876\n1365 13545\n52778 63235\n49920 56182\n74120 85030\n24121 43893\n49428 69180\n32112 75822\n25123 56120\n9230 39473\n45687 73352\n22736 39992\n8079 47578\n20862 72024\n44302 70068\n14518 78605\n55732 91376\n31598 90598\n5495 75548\n81668 83483\n32387 77872\n7143 93130\n18046 21144\n13318 35355\n6073 32627\n37350 38162\n76219 88271\n25369 29245\n10940 15508\n88312 91239\n16592 20815\n8294 81202\n23686 60934\n45106 80853\n50850 69535\n46674 70473\n29291 65787\n65342 80620\n8593 68913\n6522 38900\n69672 89717\n42605 57122\n88772 92374\n15619 73611\n60725 86723\n54660 57471\n4596 89538\n49772 91165\n38350 84013\n11869 36277\n46 89712\n77237 91532\n36746 42506\n25997 45727\n21746 63040\n17103 88574\n37255 59837\n62118 76645\n18100 62916\n17591 72450\n6427 32204\n39596 82444\n23118 78851\n58746 64147\n34913 67347\n8010 11605\n8720 43697\n39082 47342\n52978 88115\n61938 78252\n26644 65604\n34857 70246\n50539 74547\n9289 65597\n9755 13247\n8375 23242\n43595 62188\n7077 84196\n61936 74445\n42558 75529\n44972 86262\n19389 72964\n55507 76504\n10419 53455\n41108 71068\n43902 79641\n3721 15162\n10911 14190\n25503 86671\n38587 53084\n36040 49176\n43864 92171\n32196 81042\n14026 90647\n70311 74286\n7020 77801\n23220 77323\n1456 85083\n65495 71217\n36209 61299\n73011 73905\n78311 82106\n55848 92611\n9771 42955\n32151 46884\n14901 23914\n41891 44834\n11543 60180\n50355 71914\n40462 62972\n77708 78198\n35625 45317\n37739 65825\n62350 67986\n28855 73745\n37640 83106\n85194 87067\n34502 72609\n1721 22431\n27817 81325\n25887 55999\n34714 41473\n30644 92610\n32826 39327\n40130 43392\n39018 84521\n588 13345\n74365 90173\n37337 68663\n33655 79536\n18239 67728\n32956 45682\n3011 18537\n29069 43161\n21359 57699\n31788 80807\n6096 47590\n19739 89696\n78157 90509\n26337 54018\n8306 26197\n17932 70140\n56 69174\n50958 71918\n53073 69561\n12959 58583\n42916 79410\n1308 26178\n6161 90718\n3963 89919\n40311 92208\n43699 59402\n80838 86626\n28652 39742\n31877 72688\n41256 47868\n12393 19824\n33650 39191\n46184 84593\n57321 91038\n49626 49768\n85539 91341\n25800 31178\n20335 28362\n64087 80812\n35140 54731\n57574 79347\n64047 76432\n22608 68801\n7580 10401\n4572 27175\n48656 93176\n85111 91067\n21996 41288\n52012 83342\n62287 77284\n57851 67991\n5505 23488\n40776 54174\n21103 24310\n14715 22155\n21530 52671\n14866 53324\n15660 88533\n43060 61312\n69786 90531\n12608 92708\n9548 20713\n49377 54946\n11542 75276\n81331 81448\n14018 72332\n12697 81999\n33242 91950\n82374 85306\n49127 70358\n11832 51062\n16488 38944\n9042 42265\n58316 67413\n8199 92778\n24695 48607\n34746 44701\n30430 79162\n45182 51541\n14936 77415\n46425 81147\n54542 55823\n42318 63110\n45018 65524\n72854 85842\n52548 85535\n26254 84894\n55406 87230\n64448 69129\n43822 78507\n5515 14036\n48007 76796\n16290 76278\n18109 24395\n32900 74359\n1418 61783\n50645 60390\n55905 87924\n78779 84685\n15505 41636\n6854 62764\n68532 89237\n10224 76264\n4483 87902\n10513 32420\n56947 79213\n1186 14284\n47032 82415\n14718 33786\n29777 62564\n7835 81381\n56736 65498\n4504 67252\n369 3240\n52305 85120\n6870 58262\n15142 56048\n70230 84476\n117 34747\n27205 32158\n46748 53639\n14693 50741\n55783 90398\n13999 29925\n38558 80036\n60566 71632\n58529 60838\n77570 89487\n75557 83873\n83284 84505\n45249 59902\n61040 75008\n10829 92320\n2015 25915\n38076 84890\n10063 35848\n17247 70846\n4072 88319\n37079 92743\n28985 36517\n23600 26607\n46387 61970\n13356 21377\n10137 24365\n39002 45191\n13747 36966\n43244 80524\n2120 11774\n13568 27124\n16944 78965\n13899 28714\n70712 76070\n12489 35944\n60039 71156\n12135 67820\n40285 43094\n60916 74365\n20726 65112\n15132 23147\n41893 82430\n35673 79605\n1103 30380\n9802 64800\n25482 79716\n37960 84892\n41321 51110\n43260 53371\n30499 45818\n60475 62513\n44336 47771\n35071 48882\n4171 89668\n64367 83017\n49499 87184\n29461 78761\n56149 85610\n129 43274\n2041 82351\n35676 73888\n32583 54159\n37638 49807\n8219 31057\n49179 67942\n16742 82393\n5987 16229\n48185 65757\n45505 60263\n40357 79399\n31537 57275\n66799 69440\n34373 68195\n33956 50746\n18424 87293\n56018 67642\n30054 39785\n12584 89305\n15309 84097\n22015 36986\n14059 23193\n5424 31982\n51959 89468\n735 4567\n8610 49690\n15153 74184\n41326 64699\n61163 73905\n47935 75886\n52767 82029\n45694 46330\n28330 39058\n78242 81575\n19876 91231\n56947 64149\n2319 32995\n40375 91936\n30190 40581\n27488 57607\n31497 52304\n30495 56873\n49648 74397\n65860 86270\n28391 35089\n34727 35305\n11600 16386\n4280 35241\n11919 37940\n7912 44885\n7377 79139\n6378 53993\n10882 33570\n14799 81400\n8739 30908\n30988 73141\n67258 68956\n65818 88534\n70729 91333\n53295 93065\n34852 69200\n13797 77129\n25679 52964\n14088 84356\n48796 66426\n13129 76222\n65395 72936\n12596 55570\n29502 37154\n22561 70369\n21176 23502\n19148 45341\n64772 83936\n25669 57883\n47812 60643\n15376 17785\n57121 76069\n31771 43439\n46457 47510\n44948 88034\n47967 77316\n25680 83044\n58696 62159\n8672 28868\n34269 86660\n66471 92811\n54306 70523\n49465 75645\n43640 76471\n63956 76590\n1581 71952\n14577 66178\n21033 58877\n33757 51455\n18394 77459\n7570 37662\n29037 35974\n485 34803\n25070 71246\n11454 75655\n28456 77546\n69505 86792\n31945 76092\n20681 34550\n17208 31731\n62045 77979\n53857 77148\n11674 69279\n56097 70480\n12911 72324\n19760 49338\n1480 34877\n31779 61417\n6292 64322\n5798 51890\n24043 65945\n31714 34601\n82440 91909\n6786 23173\n77201 88072\n4293 28967\n1021 61056\n11257 86459\n17557 25456\n10721 63644\n41214 53837\n24386 61030\n24112 75380\n59070 64356\n27649 65611\n15998 78367\n7895 71858\n37048 54709\n51762 59184\n7443 12125\n5295 57485\n9744 67223\n22416 77528\n57416 89490\n19886 38306\n20005 84889\n30341 68417\n76720 83119\n13026 68597\n910 89971\n7393 14299\n33846 60909\n49944 88756\n1253 32904\n55195 75424\n46725 49345\n15537 15940\n51486 88656\n18901 29728\n24815 43593\n59292 68582\n18120 79312\n3070 55310\n60645 89951\n6759 70773\n7728 61681\n61898 72061\n5270 33580\n58549 70868\n89272 92889\n50016 71246\n27410 52049\n12223 17240\n11932 83114\n6206 15701\n57345 65575\n65771 70849\n4006 79990\n59749 90893\n58445 71394\n24553 46635\n61692 73764\n1083 22347\n12674 68902\n4547 30671\n36514 47258\n3910 62982\n1230 64112\n17927 69640\n8787 10339\n68835 81972\n2116 72919\n12926 54473\n45926 92567\n15698 18089\n20388 46433\n18476 52051\n8514 9114\n44038 62889\n18305 80181\n8966 15219\n5841 58887\n40621 90288\n70047 74577\n26373 39539\n43638 67320\n39306 69323\n32988 44365\n44783 83511\n47194 81968\n8286 23180\n598 1408\n2832 47394\n31003 83975\n78961 81326\n16314 23176\n19235 44524\n17494 78354\n54612 69836\n6946 29651\n17955 48946\n496 32059\n28423 53297\n66274 77150\n81376 91865\n13362 67481\n83808 90508\n10611 73954\n9541 65476\n36496 42510\n38886 89066\n10418 38846\n3589 65592\n53555 58038\n19080 42509\n7662 11235\n41265 54005\n22583 53167\n25752 80043\n9652 60483\n1620 3800\n8375 81565\n12114 81214\n59365 91245\n66346 82581\n46120 72464\n82933 89374\n48409 73897\n3194 78876\n5689 27072\n33817 76709\n46883 53651\n35382 90363\n11395 11453\n15288 58050\n65452 66641\n8656 26551\n7439 78543\n30275 45597\n29038 67927\n38833 82709\n25590 46279\n29743 60690\n5600 67510\n67306 91023\n38273 65582\n25782 62166\n45513 91064\n24846 29650\n25586 50556\n11154 24183\n38627 88804\n7871 41777\n19056 34974\n40564 50490\n10380 77864\n10816 20898\n42252 70191\n29295 68140\n17819 65784\n15891 64097\n22745 46429\n24975 52302\n39753 63634\n37767 80958\n23790 32374\n28104 29592\n12567 92491\n5376 41872\n13412 69254\n73289 75988\n48115 62845\n31715 39893\n22743 90995\n1236 7354\n19594 52836\n23562 39838\n30542 73793\n26916 79013\n1224 14287\n7355 76579\n339 47313\n51536 52102\n467 30334\n27432 30681\n2962 69685\n56797 87137\n1420 64456\n49170 66057\n40000 88417\n32111 81289\n64311 80525\n11407 82140\n32065 51536\n66117 79799\n42358 77112\n33775 81200\n7436 56179\n11189 64107\n54143 83620\n9014 53380\n10418 23018\n38584 77668\n6590 61695\n24353 60066\n6912 43121\n31143 75956\n35243 90778\n45118 62788\n7677 56934\n1322 67245\n29355 72222\n19330 85372\n21743 59278\n53169 84933\n22085 52733\n32880 88425\n41320 66223\n1548 23237\n52235 70311\n8303 22976\n57219 79961\n9173 36961\n4792 61895\n35742 74046\n5337 79438\n10950 42251\n23547 91371\n6631 67929\n47721 83578\n54807 69457\n58803 83004\n58333 69338\n58181 64044\n62649 72013\n40458 74526\n31088 49420\n24750 90295\n20425 64290\n47752 84671\n15151 53580\n57012 75014\n7578 84114\n81426 92269\n88125 89338\n20906 33642\n30453 86091\n70814 75309\n20064 91850\n22010 35177\n10418 22629\n1748 82724\n8356 37466\n2758 11560\n41837 70803\n29431 31760\n42404 74217\n20742 87440\n2204 78103\n24985 39694\n50742 67861\n26612 36220\n33916 79731\n11052 24452\n89783 89922\n24377 40072\n21942 42813\n917 54488\n18084 93011\n74651 78915\n521 47646\n12091 71331\n743 90871\n72921 86515\n12983 89530\n42347 48424\n47981 73656\n37933 63580\n1522 30254\n2814 48229\n4964 74374\n174 37153\n18696 88357\n4292 23517\n15822 52014\n775 38230\n78778 82403\n32175 75727\n65573 78022\n45710 62356\n1105 62180\n50607 55328\n66249 88820\n7441 57358\n10045 12007\n44123 59646\n85706 88880\n39227 57193\n21328 90836\n2329 77575\n11315 51781\n5098 23947\n38475 82474\n44268 44511\n37737 84760\n25909 79582\n6478 18484\n20530 56188\n23229 63448\n15047 38980\n388 51793\n37509 81322\n32105 62142\n1098 24806\n9065 51014\n15252 16079\n20608 58276\n39805 43138\n60666 85339\n15553 51831\n30101 64557\n18464 91090\n5834 38587\n19082 62510\n19312 63031\n24975 52823\n3557 12977\n3945 7583\n63593 77317\n1292 65610\n4016 45915\n6731 72382\n86526 88465\n13652 38243\n23157 81246\n52275 60283\n2461 70895\n9514 42530\n67922 69723\n16542 20695\n10878 91657\n1145 31903\n676 13379\n26727 33242\n7026 42328\n20358 28000\n22771 34874\n7198 60475\n14537 21947\n5960 75735\n56952 69292\n20200 30926\n22154 42720\n37304 58966\n22964 67061\n14759 46527\n8486 50888\n64271 69806\n24323 68417\n19649 60359\n35955 86993\n29345 91425\n29997 34349\n700 48860\n55624 90428\n33717 87091\n10937 46364\n25480 72309\n56584 75233\n37580 74527\n72244 78884\n24538 31503\n53363 89224\n17159 62374\n17649 38041\n17224 69824\n57801 80106\n1501 11095\n55156 58462\n61842 64393\n75928 77239\n15776 41548\n29975 88787\n745 14875\n59614 91969\n3211 23115\n16615 24930\n82096 89489\n51776 52178\n55676 70390\n34211 78024\n56510 90413\n12 31929\n41284 82874\n56369 60820\n41458 90008\n33276 43209\n5468 58690\n7537 20913\n16345 93093\n34604 64316\n24059 76580\n64025 78618\n18910 50452\n30356 80044\n14643 17736\n57722 77571\n46956 60489\n5274 47329\n41462 70233\n45373 51404\n73988 76337\n52503 92766\n40517 81611\n48628 75493\n70124 92381\n67633 92652\n14841 65398\n44994 58476\n44052 45548\n2115 53432\n24984 76589\n11580 86668\n37690 42058\n73579 78527\n7061 10397\n6161 58004\n24181 92107\n75441 88870\n10681 22540\n69314 82608\n30829 78879\n13658 33462\n75508 80095\n10448 23340\n48794 52469\n27192 47335\n28193 45196\n26697 87232\n39508 87136\n2205 14470\n11132 16582\n44099 76066\n11643 59232\n12496 56548\n85645 85743\n79001 87818\n36769 55362\n14227 17066\n27656 43760\n47566 92841\n39477 66498\n59209 61531\n22936 61896\n13986 47851\n28184 46099\n10457 74600\n6493 83437\n30757 83625\n8641 11057\n7141 87375\n44491 78024\n52301 57008\n19530 49378\n4955 89232\n17204 57150\n12353 13389\n7613 63356\n51395 91419\n2231 87326\n15153 89798\n24769 67377\n27208 86976\n8798 17562\n41207 89713\n4077 61339\n37502 55664\n58106 66310\n41254 41545\n11646 21750\n1131 50189\n27931 65032\n63924 79890\n89935 91755\n34394 88504\n48134 90598\n30021 61364\n10579 64903\n11071 35487\n11128 22396\n29425 90575\n53157 87321\n64166 84937\n5220 64661\n811 90946\n27411 43248\n86135 92976\n71721 79066\n16629 88848\n75306 85240\n60095 91004\n9546 92264\n3888 73602\n8552 48433\n36643 88937\n22210 32089\n40592 45942\n5736 85207\n13423 43374\n19341 84711\n37176 90186\n49534 88784\n20166 35441\n3644 78796\n74253 86385\n62194 73974\n23706 59511\n51792 66319\n12847 21000\n37463 55967\n47167 62848\n78172 88181\n3609 31178\n53774 68052\n32640 33762\n73311 74521\n25329 92833\n37053 44145\n15512 57034\n13709 76160\n41729 79428\n4505 71173\n28338 46134\n4061 85406\n17878 47117\n81056 88938\n42299 50491\n25390 84583\n47601 84190\n52283 77407\n21100 58245\n66375 69523\n72653 76567\n15558 29914\n19001 66528\n64389 91097\n4929 32516\n45182 73451\n11816 72101\n74334 90851\n48956 71516\n29045 81902\n5683 76351\n3422 40546\n33733 88825\n63080 75204\n5333 83667\n19932 34885\n4410 19141\n5626 44327\n19540 56774\n62105 85758\n316 60108\n9257 81181\n27547 51155\n704 23297\n15836 57828\n4679 18916\n19635 68206\n32962 43281\n1679 48808\n27167 56443\n8545 16710\n1071 26801\n14048 69984\n27542 65693\n22756 38262\n18965 77519\n3573 58236\n5115 22826\n70343 79927\n2549 22443\n13076 55934\n66758 85800\n84438 91865\n14646 80396\n73599 89670\n16179 66175\n30866 81561\n35010 57952\n44130 69512\n45719 78858\n42254 49103\n2202 68956\n30961 87819\n31684 44018\n33785 54544\n55772 75578\n36700 55619\n2328 12599\n30574 74703\n16421 53136\n54607 54770\n34370 38533\n34077 44060\n21120 29713\n49307 54347\n31252 59042\n14313 88107\n14875 35990\n13953 74978\n58402 58445\n67351 89640\n15173 76031\n43064 50448\n27539 55115\n12240 45487\n30197 72174\n10443 66493\n25757 50190\n7312 91501\n43300 53767\n43090 55546\n22596 26947\n34575 43121\n6518 79542\n9205 87341\n47602 49021\n27764 84088\n17138 67467\n33613 83502\n12952 73335\n10187 43137\n11530 77137\n51858 82206\n40280 51176\n5661 51086\n1510 51735\n19917 82001\n43565 49470\n2732 52254\n15674 44600\n8949 37727\n5638 91395\n2654 91447\n2313 70979\n40845 53344\n18713 19218\n21234 23410\n24615 30986\n1405 78000\n13784 55280\n22673 41866\n41109 63068\n15132 45285\n23678 67815\n60762 91599\n7401 83449\n40590 85907\n32757 70684\n21082 49453\n14553 70428\n62926 77595\n23601 50555\n23663 83498\n26810 36505\n28215 88429\n15705 24938\n52265 62621\n7518 22242\n8846 70421\n8415 28320\n20227 29692\n40802 69041\n41400 80071\n16147 49234\n48572 50741\n55012 70546\n71844 82095\n43373 57560\n50544 60043\n28450 81571\n1690 52858\n2235 30535\n2231 44686\n10502 55962\n16024 71762\n628 83401\n28835 61092\n65056 89081\n60079 70873\n6277 46219\n70556 84356\n51160 62886\n33608 80796\n52042 84577\n22036 77186\n2420 19207\n48298 87567\n39047 83794\n21009 33078\n13791 21860\n1453 55330\n36050 37558\n2714 70756\n14941 15710\n69096 81495\n28406 76945\n3742 56471\n21452 45144\n45519 61606\n2234 41666\n20008 70108\n56432 86620\n37503 42110\n75845 88235\n34615 87576\n7800 19514\n63478 87731\n54026 61103\n44589 64036\n11870 28919\n28324 42527\n26354 83271\n42075 89045\n63381 77789\n2770 92970\n61405 67110\n3841 11479\n4062 89075\n65501 68582\n11907 68875\n14334 34493\n49424 59433\n5726 37787\n16502 41665\n26263 75594\n608 25724\n16386 19133\n66296 76838\n6285 13471\n48352 57047\n4461 5484\n32077 52802\n53927 70551\n12533 60336\n60141 76914\n86416 89322\n84261 86895\n17921 26518\n2787 43962\n50144 84296\n48015 72411\n13393 39785\n5744 58856\n57239 85212\n42910 44018\n47753 85474\n31923 51991\n53489 90246\n13435 22902\n12835 82176\n60634 79852\n6899 73609\n44256 77798\n3305 72983\n52311 73456\n11957 86633\n38761 56056\n26988 51364\n68966 79406\n31718 50571\n7579 47425\n40548 66829\n17126 32426\n22448 64891\n35978 74931\n28157 74211\n43092 89523\n9281 55031\n5518 29841\n21690 29335\n38132 64157\n6171 84148\n60184 73681\n49317 54130\n6697 33081\n37586 50467\n37420 73005\n24013 53360\n10211 85001\n33533 42834\n56148 86021\n61882 92352\n11056 68389\n25923 38477\n14138 37303\n3908 56860\n14554 54740\n13838 33292\n1173 86002\n24094 57838\n15218 68574\n5531 91659\n24177 34846\n21725 83723\n55678 57471\n13362 13875\n2842 27520\n29996 56833\n56527 79527\n55902 71015\n69644 92653\n23100 49140\n66859 75605\n78564 93160\n19560 82997\n86044 90216\n6345 8972\n34625 38957\n38734 72236\n60986 69188\n6910 60217\n67133 75227\n5275 79091\n56538 70749\n17621 29542\n54633 60034\n37495 78677\n3418 27877\n38468 70386\n27941 39717\n24406 46868\n26991 56690\n25124 69051\n7106 88682\n2009 44911\n31803 45360\n4345 41168\n27125 70569\n9734 22494\n9430 42329\n54882 69657\n41601 82730\n76745 85421\n21833 69085\n51759 76726\n23430 54532\n31959 60573\n31412 52192\n51394 89633\n39891 62515\n10641 45816\n26531 45963\n23000 71327\n59005 66108\n8412 91010\n1942 60700\n23167 75997\n52652 74738\n1744 60123\n41427 91727\n13918 46022\n7930 42015\n31079 79884\n16151 40867\n40685 76197\n43311 91363\n17263 59536\n17327 73921\n44262 56782\n2885 54192\n63374 88874\n1774 12656\n2557 18456\n28267 52111\n38176 89325\n13555 73117\n1186 75001\n11999 58719\n14100 88678\n48100 75851\n8707 8937\n10892 13165\n32960 45307\n67680 77749\n37566 56536\n7176 20793\n16960 37690\n6270 39939\n61361 77433\n10467 61370\n9780 11107\n25448 37937\n3638 85573\n7543 65100\n54044 82917\n33468 34039\n24485 51966\n4032 51142\n85742 88274\n78276 80999\n57740 90883\n67875 91536\n9669 85984\n10429 24980\n70491 86329\n24711 89211\n56709 88173\n76665 79486\n17505 48717\n13445 40587\n5028 22411\n13344 45621\n37120 72946\n7571 80854\n26878 69275\n29074 52886\n13582 58059\n7813 61524\n40877 69081\n15013 33778\n6851 18201\n48916 84244\n41837 73352\n25852 45809\n54002 92218\n55897 60821\n46854 80719\n42996 52478\n34382 90277\n13744 37977\n7808 32134\n35000 84736\n1347 31708\n7908 34681\n72613 90235\n52030 91009\n20599 53113\n24872 62354\n42750 60260\n26573 68985\n64385 77599\n5110 78110\n24327 43711\n38794 52824\n49011 75321\n71584 79487\n21479 37041\n52054 53251\n39267 65865\n3062 65022\n66016 66959\n23742 33117\n16669 66160\n18702 49565\n79353 88840\n21354 69783\n24307 57066\n27782 52427\n45143 81766\n6128 28928\n44026 87817\n34273 91942\n73399 91948\n2681 57730\n17751 65390\n27289 33375\n61420 84775\n80816 88598\n45708 45812\n16982 53667\n17269 47674\n28770 89628\n9380 34507\n11313 52159\n49357 49501\n33890 78921\n23219 69694\n33726 44806\n42737 50377\n14883 27596\n19826 74125\n16329 54751\n35783 65650\n59230 86815\n60963 70350\n42626 87569\n28748 83417\n17332 69531\n7351 44875\n18053 59310\n37761 58353\n36799 54251\n10715 59494\n7038 54816\n18218 89922\n41827 87267\n11560 70079\n21153 56780\n8612 72047\n47839 67027\n1663 14624\n6696 92536\n54863 85303\n3170 5404\n15198 28466\n45781 69269\n53099 65336\n16655 63135\n22085 27793\n27703 65907\n5378 12577\n41184 66654\n72456 83455\n18935 50117\n46364 88855\n11462 64561\n63172 64169\n5791 78379\n3884 15394\n51858 55780\n35951 62415\n27869 33960\n7978 28699\n38014 66183\n6033 40494\n3555 70115\n66934 73078\n72241 82611\n49528 53672\n3453 49163\n10 71400\n48208 61933\n14302 14599\n53484 53978\n20044 22071\n19631 53308\n11404 74107\n39377 76603\n49345 60380\n3414 12994\n18529 34014\n18093 87882\n15798 38712\n24578 39386\n31324 78637\n73204 89059\n3806 68239\n29271 65579\n16417 85976\n64930 67262\n25690 71845\n25364 82822\n37389 60989\n29992 39373\n19631 89967\n11969 64300\n21886 92268\n65460 85242\n5647 80675\n15200 67896\n9105 63720\n83640 90351\n62947 74439\n64841 92113\n29273 71492\n59399 92761\n31998 77720\n71376 89846\n14209 87539\n31251 91441\n8466 54209\n689 87364\n6809 89131\n59622 79470\n53536 88964\n36786 40492\n12541 88211\n8919 50731\n46557 49055\n14703 66611\n38192 86190\n10531 58543\n29379 42317\n22008 22981\n3675 82974\n25387 42351\n18254 65607\n16781 52293\n44257 61496\n21585 48337\n4320 4926\n18297 91127\n4111 42804\n38659 68740\n49626 77838\n20653 61439\n9270 91433\n32560 40693\n67834 76647\n49891 93156\n26785 66839\n58737 89128\n41757 70074\n12157 78197\n12142 30366\n2655 48354\n33936 92166\n5725 7435\n24331 72968\n34947 90705\n18214 25594\n3201 25714\n25477 62537\n10696 82340\n14833 68425\n67010 84597\n28388 79522\n25158 32427\n39456 44502\n64637 65510\n76975 91585\n37307 87631\n52649 83184\n48884 89007\n20996 49145\n10093 90735\n54893 85747\n33469 84406\n21623 86148\n3369 72592\n19514 44301\n47184 65870\n3965 12865\n31358 61136\n21535 65275\n91434 92213\n669 36772\n56940 65345\n13376 56523\n10711 35215\n124 41782\n56033 79555\n4372 29314\n49416 64812\n25225 48605\n24630 77948\n18872 38895\n36150 69729\n50987 81963\n39646 43554\n62369 82953\n21533 33878\n53895 83052\n24472 55131\n2935 91950\n45052 82336\n23732 52071\n3828 50687\n6968 89612\n60103 70520\n37288 44519\n32740 77834\n28439 50494\n12031 21542\n62281 81591\n15311 76906\n53346 58365\n55894 58083\n49099 86897\n32225 59314\n37554 83624\n30266 48349\n64498 84344\n65901 89766\n9018 38065\n45277 84105\n57615 92867\n3749 78194\n69124 73316\n24463 74822\n34191 47420\n28259 33162\n44532 86968\n21884 41419\n15019 42095\n42497 85742\n35723 93156\n11493 32854\n67224 71850\n31704 46920\n7047 68890\n13581 72205\n43910 60755\n3273 82829\n7339 81438\n39749 63091\n22961 75737\n37943 89191\n9943 77416\n2118 71738\n12516 33110\n3093 40730\n38034 64904\n45671 72928\n29081 78724\n7243 35896\n34972 49247\n55579 76545\n69591 75577\n12598 48900\n18347 85079\n46906 62297\n16 76666\n46999 51165\n20818 89134\n8199 10902\n2250 53152\n80969 84985\n30104 57290\n28653 80492\n44117 47235\n17574 41124\n55810 66639\n48539 65349\n43290 88393\n31510 92699\n22136 43150\n74636 80729\n38489 48451\n12342 89998\n52815 72046\n1531 20772\n9638 20270\n57622 66953\n15145 45650\n38271 41713\n15545 54700\n5218 15319\n6326 71284\n33825 92601\n37658 60005\n26319 86714\n20816 89662\n24109 54773\n33721 36104\n44128 80745\n84984 91492\n41782 66941\n13390 18259\n40958 43424\n36210 63559\n306 86512\n4155 13292\n52227 78545\n28742 63027\n14782 28528\n36539 48520\n38107 65726\n9904 26265\n29821 46320\n432 2731\n17298 30926\n12804 34583\n84713 92709\n67260 75605\n21867 37032\n202 11854\n39325 86460\n9677 14762\n28761 55332\n21832 58287\n57087 73933\n1673 79650\n36718 68566\n63053 84029\n46731 71758\n91185 92780\n50671 79949\n69793 72819\n5919 57149\n8871 49690\n30397 73218\n17927 26555\n6189 77371\n22438 23737\n14949 92573\n29908 49813\n13792 86812\n38619 57154\n64705 72962\n11799 73527\n74454 83068\n57238 61517\n25368 71411\n56825 79778\n20228 51618\n19474 74025\n75001 88492\n32556 48010\n63601 69787\n62798 64421\n39034 47244\n45592 79351\n54602 72773\n64799 90418\n6159 56511\n58066 82923\n36873 51303\n25197 78095\n21027 26915\n77200 88412\n48208 56391\n30720 87016\n63266 77246\n51788 74456\n30240 42764\n29208 41786\n14244 59162\n8775 27349\n18964 30262\n44828 75089\n22831 56017\n34145 68716\n71886 82587\n35453 65612\n69369 84517\n47977 56948\n22766 73327\n27937 91778\n19391 57876\n784 34664\n9532 28894\n25265 68558\n21353 29284\n22077 61120\n27966 51600\n45456 87190\n28392 59285\n20292 32716\n3155 38268\n10915 25142\n39436 40285\n609 56744\n23939 89645\n52094 75954\n60577 74046\n25368 65324\n53323 65419\n39987 64117\n1417 23452\n273 40523\n21466 69605\n85611 92884\n32706 85216\n29924 81429\n70696 71108\n24514 52131\n34876 47634\n31796 40913\n77149 87405\n40961 73210\n37873 87384\n8425 67831\n30311 64955\n11328 39966\n12288 36941\n26536 28762\n14848 37700\n4230 12023\n1623 18525\n16101 66498\n13746 50795\n6029 16268\n1749 32712\n2730 92365\n7681 76322\n14806 80014\n13654 14867\n20407 84208\n16911 42757\n12931 92901\n71076 92820\n53732 91393\n16271 90737\n10666 81810\n61147 78125\n41198 44304\n40536 77195\n40531 69103\n23768 32216\n28329 65282\n32918 78706\n5054 13128\n5600 88064\n419 8001\n22545 50071\n52642 65899\n14395 30877\n52386 88415\n28778 56392\n60320 77784\n8918 46793\n50838 92497\n46866 88788\n64264 73359\n33270 51034\n69168 78652\n28056 79772\n7813 71363\n10026 58919\n62658 91667\n58389 79190\n5918 60636\n30834 57931\n23284 35263\n9519 36366\n24262 45822\n12735 83438\n23875 69869\n16677 33409\n20889 49794\n42731 86758\n62745 66947\n31167 73758\n14733 48209\n834 27993\n27513 32908\n11821 73015\n5556 70691\n1903 76068\n25927 91288\n74653 82861\n64649 73232\n10731 87019\n30490 42605\n42071 59185\n18313 48014\n35615 87863\n1961 2685\n662 38695\n28111 32259\n23803 50055\n12470 27744\n51126 78790\n25534 70813\n10912 39471\n36116 76528\n47733 84432\n59576 63437\n83272 85165\n34555 84490\n67467 72946\n22506 90743\n18898 62203\n25275 49401\n9236 91807\n12854 77734\n60197 87838\n28419 87463\n30670 40256\n55576 81396\n46986 90513\n11669 42496\n25481 36776\n3239 10246\n39836 82434\n6586 46779\n18042 40994\n2598 62666\n50072 71351\n33293 42710\n64351 80192\n62332 66398\n49367 68091\n4222 57646\n15785 22838\n74500 83972\n2740 18645\n15541 49270\n50681 85488\n83317 88909\n12551 49709\n40614 43838\n13493 42187\n71032 87530\n52185 56431\n20441 31032\n1899 26129\n45908 51783\n21439 52712\n73994 81425\n27614 61934\n42510 52674\n5624 19227\n84534 91889\n18713 52730\n22952 83224\n66185 86145\n37942 45394\n41915 60773\n4268 60687\n28260 69488\n42990 64196\n841 19978\n1203 68409\n5780 22428\n37202 54416\n27513 59018\n23524 28893\n37368 63489\n13445 57057\n45058 56608\n62740 66325\n30803 53575\n13680 36417\n62552 64960\n13504 63527\n11049 19660\n13615 86733\n5437 27078\n66810 85246\n30620 84091\n13097 82867\n16504 50285\n28477 42519\n58970 77817\n62720 85035\n39431 55486\n23971 88826\n28037 58802\n15075 65583\n23450 71679\n31118 55333\n47099 54252\n11773 88557\n61027 79592\n1272 12934\n62465 91083\n64389 88494\n1301 44879\n37846 43988\n17992 59144\n42269 84843\n9606 37490\n61073 71213\n39454 46937\n1199 41392\n1093 43387\n45283 92689\n8195 60072\n9154 19535\n15081 69951\n58192 88151\n67275 81689\n34701 56888\n49020 64064\n10928 34556\n56423 69791\n26629 84401\n50276 78355\n78718 92171\n580 58289\n32971 34600\n30000 36055\n15577 44512\n83073 91141\n53176 58137\n11011 13146\n10198 58087\n24141 85127\n18956 83232\n79077 84686\n4004 26159\n5131 88694\n59242 69399\n27286 52496\n70091 78730\n64300 92572\n16258 91526\n30980 84441\n4706 40246\n4082 26362\n15479 40605\n10737 24299\n34056 75223\n78211 91856\n40482 86156\n66770 86940\n4981 32773\n29687 49575\n23090 27106\n27045 43684\n28021 73421\n8465 84591\n82415 84387\n39396 61166\n11058 51808\n22164 37702\n12483 85621\n4850 49355\n60850 72601\n14780 85315\n40082 80593\n12220 42475\n34121 74173\n22539 27158\n41349 75414\n44167 78268\n23453 54511\n11678 54989\n28659 47761\n218 22118\n42796 89112\n10022 65189\n60869 64594\n8232 83672\n64399 66810\n79375 87597\n212 69442\n61912 70891\n25260 43118\n31549 55175\n34328 86490\n38 59520\n44299 84307\n26452 63795\n4718 37896\n25141 42580\n62025 64349\n32974 44551\n6149 78894\n14864 59592\n82275 82335\n23245 42505\n60190 60679\n5025 26365\n48692 90765\n23447 72989\n31878 83141\n23895 46826\n30760 46560\n61739 69730\n1265 43915\n55939 78927\n50685 76515\n20387 71235\n6780 50854\n30494 60436\n7658 22578\n7341 92734\n6289 17960\n74817 85966\n26109 77767\n22952 69136\n38765 61550\n34069 42178\n68691 83139\n51633 64984\n45189 87027\n5800 31484\n4126 84372\n20731 52128\n17908 24075\n6735 47588\n32741 63178\n31008 61600\n16531 82871\n50726 68324\n2867 30371\n2429 18461\n920 14176\n15656 16820\n35676 90494\n42092 45372\n63699 68977\n44353 90387\n5724 48753\n14231 24698\n23302 44973\n37465 63371\n18021 57930\n16203 57972\n43246 77324\n26149 44004\n4210 41754\n3791 38422\n937 81100\n32502 54261\n42246 88566\n1045 65193\n9052 85361\n89040 92316\n17401 49840\n29310 40298\n20199 58571\n2423 22739\n3534 89052\n6555 27981\n17952 36059\n14829 54733\n6425 76233\n15336 62588\n20671 89629\n42503 63149\n6468 40815\n4613 58655\n24853 47361\n6799 73265\n13325 84933\n52059 92285\n62882 81321\n7203 83520\n1294 8614\n58811 68728\n40719 48190\n7162 79066\n25511 90483\n19681 46132\n16400 51565\n6889 20215\n17322 76145\n1491 24838\n28020 85476\n10894 71735\n6546 63083\n61833 87173\n19716 70203\n7484 32408\n52220 65318\n3668 46063\n26264 27318\n3421 86848\n53217 76844\n13660 68282\n43725 50960\n22029 25264\n1577 90926\n3977 79058\n46623 70549\n6416 46479\n57601 69427\n18924 61328\n7700 64786\n48109 87340\n16085 24787\n57762 85076\n37209 59742\n26494 92133\n10363 86296\n6206 49443\n18335 72572\n84582 86055\n18889 86109\n52679 61690\n15013 61698\n5110 28794\n12358 39893\n7148 80044\n13634 16001\n27487 53712\n82783 83234\n37168 61991\n2307 23055\n49178 76006\n24072 77045\n31771 39973\n20902 44505\n50095 80641\n45343 89937\n64763 82736\n71105 78924\n35441 66016\n12587 54007\n11013 61545\n13035 27937\n64727 81556\n9000 35393\n24296 68353\n77163 84707\n55407 89528\n29305 63418\n17909 39866\n6711 46405\n1932 16558\n26118 67881\n2777 44841\n52339 85573\n21277 85871\n34328 39335\n63215 64027\n50903 74624\n63635 76598\n19681 65528\n21789 48255\n20282 82189\n2291 63570\n5505 69005\n19206 27681\n35167 76049\n3495 90628\n26343 52505\n50705 71878\n20599 38946\n45044 62412\n2350 28931\n52616 89498\n71396 82128\n9649 52817\n9525 68168\n53169 79441\n16198 18933\n63249 63785\n58828 81421\n35425 68570\n20929 88696\n35854 71907\n58258 69917\n26973 45371\n42470 90163\n5977 40287\n48788 57196\n6837 87858\n3905 14663\n32178 83955\n56923 84677\n4000 42385\n42343 62193\n43963 71624\n28732 84751\n70735 78052\n37609 82817\n10486 30737\n6470 91247\n38646 91387\n6190 41830\n48360 89632\n5466 52701\n9432 23596\n47750 88647\n1677 81582\n21378 22576\n48031 54490\n77331 78876\n84455 84700\n45142 74106\n10618 34004\n49102 60817\n1247 81311\n42982 47778\n7054 73480\n80941 86003\n26200 48840\n61685 91232\n66039 86657\n32052 63600\n8328 44499\n79699 88142\n60482 91553\n28651 68768\n74952 85480\n82889 86885\n5854 42911\n45499 83385\n36261 88974\n15653 19798\n32836 66280\n12126 55382\n7990 92621\n27806 52052\n3062 87091\n68856 81906\n9898 19373\n6927 35855\n16363 58692\n48433 86803\n4608 65267\n16799 44837\n24625 87781\n29105 30758\n9236 86652\n37449 77677\n24762 27544\n40939 75689\n47451 75659\n6619 7874\n45513 70837\n6385 87465\n74167 86628\n2680 39116\n50492 69679\n270 80610\n9550 39465\n10575 58229\n52875 87269\n13178 85613\n8435 66427\n65696 68187\n48498 77882\n27459 71621\n12876 73777\n45662 87087\n32652 65887\n21424 75029\n3593 51979\n4353 72341\n37573 81090\n73197 73576\n23062 56460\n4569 20503\n70069 80864\n31509 81928\n62327 77038\n20485 89511\n62890 87377\n3548 70883\n5651 79026\n21835 86437\n11739 51633\n53899 71522\n26654 61124\n82182 90481\n29743 52967\n13209 35934\n23806 59055\n13426 83144\n5205 53096\n5333 86835\n12869 17383\n19297 63576\n50177 84532\n35948 72251\n38145 92895\n12978 56749\n36273 68943\n9068 15178\n17650 40244\n27173 28816\n81520 90521\n443 15058\n9535 50269\n16984 29221\n46530 62411\n25685 86678\n12787 35353\n16418 58740\n2782 64414\n47341 72143\n41264 80933\n37372 69070\n14322 18743\n32553 70847\n37514 80258\n71496 73943\n73555 78765\n24858 54530\n38720 88904\n66076 69637\n66887 69423\n49909 54419\n5371 66363\n8771 75948\n3497 80712\n55873 87065\n73261 79648\n4528 18849\n11009 59496\n27734 58431\n25624 26355\n56769 82789\n58259 80315\n43687 77956\n13131 55009\n76885 81397\n2913 12602\n18282 76782\n54059 68568\n18310 92302\n35308 76748\n30036 59067\n11586 59504\n11196 27250\n58263 71494\n17955 75426\n42430 87442\n20391 63661\n6858 87835\n25910 52801\n31895 65492\n32554 49536\n49723 85302\n59281 89196\n36220 67809\n43434 84691\n2122 56459\n67364 70107\n19739 35300\n37522 88132\n9646 71157\n8053 51691\n67815 74993\n2024 85073\n69332 76933\n360 24773\n55940 87155\n59522 89955\n28246 63345\n63860 68724\n805 73144\n53999 76371\n77716 88544\n40251 65205\n57585 87493\n18765 52137\n14126 36733\n5641 8412\n21840 64706\n27731 74895\n27200 38743\n16707 82142\n10468 47672\n18496 30319\n16125 58197\n19652 54426\n15893 28198\n56259 87109\n44045 59610\n22503 78782\n68154 80070\n65748 66544\n38579 39224\n17592 85158\n6512 28031\n8692 13809\n84767 92432\n67516 78766\n47774 59710\n8982 64316\n17641 87116\n13011 73156\n49384 68616\n47786 67228\n13838 24993\n5234 6315\n41069 62719\n30242 64324\n8160 79225\n9181 91153\n78797 86262\n7930 69960\n39906 55528\n1718 7638\n73046 74207\n17433 89851\n63170 71327\n78546 85221\n21639 32251\n80941 85963\n21792 70208\n51630 68203\n23352 43453\n34591 91523\n3755 68020\n47737 87681\n75469 92921\n65096 77291\n57075 62532\n33253 90555\n21459 55577\n26360 33103\n48278 93043\n26113 65713\n42661 44463\n14919 71160\n17806 33546\n28964 88182\n58423 62060\n2345 6176\n23891 29505\n12841 83269\n11200 38632\n28939 70730\n11700 71897\n71666 74392\n25601 70302\n17691 69901\n68039 70875\n267 88324\n42413 63879\n20633 75364\n3824 37672\n25756 30421\n52575 63674\n921 16682\n36822 70727\n11089 59913\n33976 49780\n37427 63347\n29575 62804\n20402 73538\n43810 43856\n35315 49285\n1513 35837\n27591 39688\n34384 84262\n7837 37287\n20295 76720\n26950 62072\n20910 31788\n67052 79399\n20633 49253\n34718 62473\n7201 54052\n39944 82630\n51100 56215\n49508 67895\n16500 48443\n63715 77062\n41057 85446\n40263 74837\n38546 58935\n39783 49788\n46487 75209\n22159 90897\n20906 59426\n41699 48645\n17995 75012\n22408 34864\n34043 75317\n14313 75345\n36829 45611\n33777 79790\n50499 90055\n1318 11056\n38087 57636\n49914 52430\n45765 64446\n34086 62228\n83332 87756\n27058 90726\n25331 39971\n78928 86563\n57693 75631\n51407 91568\n18956 32467\n15562 21397\n50270 80874\n41280 78434\n12242 67433\n60627 73010\n20109 67720\n26130 69192\n49596 73304\n20539 92211\n17187 87392\n3343 44484\n21007 26695\n39893 56055\n59478 73191\n33263 34472\n52392 68354\n37336 40892\n12281 62656\n24615 24843\n87086 88950\n27939 38655\n18869 85964\n13537 55288\n26024 64073\n11196 54451\n7276 59029\n23911 91925\n16255 68178\n1632 15988\n41475 85952\n12559 19381\n18352 68036\n68868 82072\n53172 56068\n7640 64533\n14941 48871\n10644 59023\n48752 82323\n4961 31753\n59988 81092\n779 66915\n30432 50454\n50482 61960\n61968 69850\n23417 82654\n78667 81205\n12508 29511\n10058 68994\n11037 19164\n18239 54179\n34972 57479\n17126 77457\n34441 43649\n8190 19847\n27227 39638\n54144 84011\n68109 79067\n55107 74543\n16340 72957\n47129 74487\n17140 41343\n49594 52422\n12199 86116\n45853 47037\n34303 58527\n24581 71953\n48140 72832\n31001 74768\n17454 19535\n15931 47504\n57147 72929\n37718 67723\n17092 48571\n8298 8314\n10660 74405\n19576 45502\n35217 37694\n5538 80100\n46118 58337\n36603 82232\n3822 48425\n36671 74135\n80127 80704\n13371 64473\n39964 76323\n33965 40501\n11116 33336\n31426 64126\n19916 26330\n29775 79314\n13613 35302\n70335 88884\n2113 75713\n5116 5697\n5335 15774\n58016 72973\n27390 76643\n32760 72809\n14205 36492\n630 48220\n44908 53802\n19026 59603\n36635 53349\n22295 33104\n33982 81582\n36224 82701\n59724 69024\n21989 89172\n41589 41824\n2864 52595\n41244 92622\n63022 76073\n8564 58977\n1881 90415\n90837 91812\n2319 5988\n4530 45759\n41292 42483\n41637 44449\n3247 90784\n55536 90654\n45609 85879\n25816 74053\n8037 12321\n15843 70939\n66782 86189\n28051 31203\n11541 80491\n59592 91844\n50416 85948\n15239 89931\n2465 21183\n4035 35833\n19071 39325\n13158 42542\n44911 65931\n2882 90885\n63221 82408\n67328 82612\n754 33538\n22745 66079\n9845 73419\n15055 63206\n66177 73867\n2746 68148\n1885 23996\n32318 84842\n62764 87678\n16336 56524\n5797 25508\n15257 28936\n3593 75303\n45142 85424\n6470 25469\n27025 73215\n1064 19409\n39927 43544\n23944 87139\n46608 77071\n25987 84918\n5905 21882\n52971 73927\n12431 61009\n58311 78939\n5980 58398\n13781 53756\n30422 92293\n22089 71072\n70023 86113\n36600 37367\n1883 38102\n71848 74335\n10860 21107\n33155 74655\n56831 78986\n41873 87359\n6233 83103\n23456 57029\n23922 57374\n8765 27097\n21190 49040\n13381 65148\n24157 72256\n54783 58840\n59574 63701\n28016 43976\n24034 80102\n16140 33268\n10159 50503\n42503 48074\n32520 32716\n691 18923\n45993 51502\n70613 71850\n10836 79189\n83664 84282\n45224 67531\n34737 50796\n4485 9206\n61143 75623\n18964 23650\n2191 18008\n17483 66266\n17628 55364\n50895 73852\n2514 3926\n27909 68466\n23696 50586\n30589 71139\n7493 78786\n35683 79505\n77817 87554\n29446 68295\n30330 81866\n30657 87772\n22172 84246\n3611 44563\n42039 89186\n53119 61273\n1668 66790\n75376 86014\n2304 5795\n69323 77458\n8012 17246\n67385 77572\n49523 83460\n151 51256\n71273 88238\n31851 46657\n9804 31811\n78426 93149\n30241 69265\n23950 86824\n19293 35423\n42716 77479\n10017 39347\n25942 46140\n2018 21543\n62857 68213\n6412 19590\n32112 88177\n50221 64449\n27719 64641\n62805 67458\n28393 82069\n24315 67532\n18166 92801\n63743 77540\n33019 73255\n18051 77859\n63939 75117\n21903 66268\n4393 14696\n17499 67377\n54131 58429\n13251 87274\n729 5676\n3906 50781\n18341 63876\n39434 65096\n28812 42360\n25060 49606\n28917 41406\n6809 84724\n20360 85046\n19650 24162\n2359 49347\n7118 57284\n40510 92378\n51896 53488\n21379 51078\n10255 66010\n41474 46101\n86857 92445\n83059 91022\n77019 87398\n19418 45640\n23495 62470\n1297 32058\n808 59574\n9751 29923\n37785 66683\n33216 67322\n6340 34192\n36137 50153\n27688 45193\n28038 81410\n51646 56057\n37076 58899\n6039 33889\n10481 42549\n3762 6052\n45279 91353\n63042 69371\n49740 69042\n29611 81035\n19866 59949\n16232 67272\n11640 38221\n67988 91250\n55509 86628\n12227 12584\n17960 89701\n92402 92693\n12696 31157\n23771 59218\n15716 16803\n32214 34318\n50866 83399\n17694 57971\n39757 73999\n54444 64225\n25892 30514\n11122 75919\n68811 69265\n45124 77392\n41943 90790\n39826 57888\n26342 80400\n64975 71152\n1254 3243\n49759 71079\n20886 86851\n2778 72977\n11405 83599\n47809 49998\n32583 39038\n53217 87298\n18677 83473\n52712 66796\n76370 92111\n34516 89980\n16844 86808\n54240 55135\n37440 87318\n55065 87881\n8348 61691\n400 34212\n41854 48848\n11658 87537\n30480 47574\n40533 47107\n46508 66106\n29318 91296\n46469 83550\n35022 65444\n45555 81366\n47859 59491\n16791 17851\n18210 71438\n15683 49127\n36401 45193\n74637 79607\n57296 81679\n45081 47363\n17866 44701\n28031 34889\n10166 75466\n8236 30172\n17259 58815\n13392 35251\n33097 79690\n28199 60939\n75786 82889\n56510 80379\n23136 73101\n44987 79166\n54751 82565\n12651 59086\n29197 75262\n16115 76695\n51216 73711\n65186 69784\n13343 25211\n81 10805\n5271 8236\n32595 51889\n1598 38341\n1195 9334\n3810 64391\n23292 31980\n24033 88829\n4203 27816\n4092 68553\n47618 52087\n13628 59531\n84937 92320\n26884 74044\n18756 51117\n6043 45268\n21772 47664\n709 32800\n42572 52946\n13338 79620\n2833 26364\n22396 70438\n29464 43500\n12683 63116\n28185 66597\n13493 77221\n28021 35550\n51286 91524\n53576 60569\n32108 59880\n19536 91478\n87712 89113\n28489 37939\n2483 80951\n15408 92095\n8234 44651\n33300 51620\n40298 79019\n67545 82337\n75919 91076\n23062 35421\n59341 78387\n27754 60209\n57972 89354\n32310 72326\n16791 26524\n28360 52522\n26837 27333\n12446 61120\n52210 92483\n7215 85926\n59449 73271\n50211 82902\n39019 53801\n21185 87648\n15932 82352\n9325 41676\n42855 52562\n56143 66636\n19881 31310\n26571 57558\n47966 57956\n36113 52031\n44703 82794\n62613 76838\n67753 74021\n12175 44222\n49293 63647\n28154 78209\n8987 21961\n56677 90823\n42922 91852\n5903 18840\n26970 29242\n21232 38838\n53874 63735\n21933 66061\n6517 62871\n28277 89131\n40720 60303\n60573 77685\n32480 65099\n2746 24823\n30726 50582\n9140 57534\n55780 55912\n28336 41545\n3366 68490\n55521 70084\n15814 31746\n55291 80568\n2094 86883\n34214 85064\n10334 76670\n52455 62518\n17512 87536\n29125 44106\n39612 88184\n10356 48287\n11192 63141\n1414 53811\n28064 58742\n70283 92888\n6878 44141\n49641 89164\n1650 23259\n19037 63381\n894 66923\n29322 80654\n15295 15500\n34154 78448\n6580 80995\n45475 64346\n25788 66587\n9798 80635\n41607 69846\n56320 84557\n4904 75827\n17742 45273\n19813 66802\n27828 63385\n80720 82398\n60803 87903\n5147 90353\n14796 73409\n2624 25718\n311 87947\n9754 48105\n16868 42622\n61251 70708\n6536 86029\n20221 80173\n3246 84579\n43427 85853\n34695 66755\n764 37026\n31284 83579\n45480 82244\n44175 93016\n16591 40638\n15860 31709\n83209 86696\n3798 28043\n9201 26999\n1737 28194\n901 92817\n1507 19892\n13043 57624\n43443 72206\n22512 88020\n37600 69822\n3167 66357\n25780 51540\n6932 85532\n31100 92806\n73137 91247\n70273 73527\n9074 62169\n548 41840\n4769 77946\n6568 83277\n33569 57236\n25975 59805\n10018 23028\n70593 84699\n44817 68129\n27099 54178\n11068 74044\n8875 83635\n13997 64165\n53944 88871\n57266 79093\n34699 80100\n37992 53131\n28658 91265\n76451 88472\n72793 88436\n10913 46148\n11709 44464\n52552 57313\n41741 76011\n26264 77674\n20664 89378\n36092 44737\n22592 25421\n29211 79681\n30829 47455\n25968 49258\n44342 62290\n76149 78263\n85287 87810\n34070 47010\n7379 52113\n20952 32021\n4412 19706\n8626 80029\n81415 87575\n25608 29143\n50247 65350\n26163 92833\n20230 53405\n5523 31652\n57543 58346\n12753 89302\n45463 66485\n24040 85104\n77659 83287\n22802 35420\n14914 82303\n16746 52801\n7060 89270\n41216 57193\n27454 73281\n20409 25797\n50296 67382\n3828 37582\n60366 69826\n11069 42906\n8399 81473\n27198 41016\n48066 49492\n10312 69516\n29497 48885\n38341 57353\n82097 86057\n25139 78898\n73498 85494\n21202 79587\n65361 87273\n73771 81405\n10153 76119\n23077 23483\n7188 72859\n2405 26760\n8403 56719\n11393 83644\n58657 64840\n42097 80841\n23786 54397\n54611 86791\n22562 76290\n12416 48951\n18448 67610\n61907 66654\n3271 40369\n9505 16000\n57347 60935\n89134 92898\n3203 38677\n48078 72036\n528 6888\n15776 79607\n43826 78938\n56723 62053\n3429 70951\n59782 92768\n78638 88687\n33222 60789\n68600 88007\n11688 52480\n26971 41872\n42336 66232\n8362 91887\n13052 35017\n7077 9208\n13583 42850\n51516 90773\n13345 69699\n44997 76085\n36940 81851\n13249 49806\n28150 88457\n28657 35621\n47837 61421\n33813 54569\n6081 31320\n21754 90556\n43292 64215\n1831 80720\n7401 13573\n16164 17541\n15965 32207\n33310 63367\n46074 78275\n10090 62326\n28854 68120\n45349 79857\n29847 71371\n27640 84852\n36423 81618\n21276 48686\n26385 90454\n6917 11980\n9216 19137\n24729 31788\n41859 83049\n44568 49116\n11705 18133\n16237 39552\n12024 26741\n21019 91734\n56582 87237\n22361 60672\n46088 68652\n40953 87034\n1764 34410\n82796 86431\n21916 46734\n778 11984\n40211 86300\n14377 74512\n19165 46168\n31811 32903\n48576 75277\n31429 67776\n16429 36088\n52114 57884\n66675 88580\n35336 57623\n26823 52776\n15438 75320\n20530 85162\n5390 78916\n40611 62267\n8646 18985\n22970 58514\n21779 31156\n10176 69995\n42085 49126\n10372 82490\n44670 75680\n87838 90620\n31662 71768\n82957 87822\n16069 26780\n49856 91102\n48296 81441\n1880 37075\n40954 86174\n72316 74473\n3766 6745\n38169 60402\n12046 91128\n45720 65519\n15489 80330\n24097 84990\n18925 90141\n23492 81977\n79451 90786\n25074 26406\n66922 84355\n5107 92959\n1776 49935\n20670 76130\n37335 48887\n27856 72179\n71864 85053\n58021 74903\n48004 82749\n40692 86445\n9058 53180\n23394 50612\n20776 87910\n4427 81537\n15252 16676\n76577 87725\n21393 89206\n59152 79523\n33245 67446\n15123 22944\n28606 85335\n19331 73884\n9495 85320\n23490 60824\n3496 68087\n32467 36285\n30132 31805\n14947 83673\n1099 3973\n41220 92123\n16293 77729\n4173 36841\n950 2328\n6225 15322\n68136 69950\n43451 78066\n23530 86563\n44328 64181\n1375 8055\n69951 92335\n26845 65519\n26994 53070\n42867 45314\n4542 86915\n16723 30640\n11484 34165\n54899 86078\n963 67446\n11670 27146\n29687 92757\n28090 55235\n31968 34565\n16787 52473\n48098 91031\n35058 67334\n56536 69014\n66670 88451\n16082 74748\n31434 43921\n13905 45005\n17306 32727\n67800 80575\n38222 39751\n30280 81590\n22762 46379\n47490 81321\n17370 84204\n4048 12690\n7308 37415\n2546 58679\n2454 60557\n39915 78356\n11941 78274\n14347 70302\n29070 46838\n18526 82379\n69044 85707\n12374 92057\n26879 90556\n32162 75171\n42595 81725\n21094 23044\n37056 69651\n13897 82640\n19699 43069\n1806 34111\n51460 74138\n1918 28350\n11820 50710\n38496 46599\n42246 68738\n27140 79981\n16643 40009\n10288 22006\n19442 89322\n76156 86708\n16834 71803\n6268 85659\n3103 91523\n73487 82616\n20265 21942\n16384 19301\n75786 86357\n11478 79718\n76061 92517\n13390 63348\n65222 86223\n29419 47312\n16092 42955\n23192 55267\n13112 43767\n21207 59988\n32020 82363\n57879 81236\n40083 66006\n14648 22655\n2967 56819\n3089 77839\n20454 32671\n10215 39416\n14035 56574\n5842 27412\n8027 87320\n77972 85052\n24993 43755\n38334 49524\n23180 75071\n29377 74594\n59661 69643\n10119 10709\n42882 71454\n7218 35815\n11180 56020\n4290 61716\n3124 84866\n2838 19969\n42721 84393\n1642 14476\n64502 86532\n66311 92038\n13374 39789\n43170 69601\n26607 52499\n27705 77774\n45178 53615\n39945 71365\n17184 31927\n6020 74219\n48038 56031\n80782 88531\n39174 58144\n57564 62113\n4997 59705\n65 55431\n52914 71723\n31510 71824\n33138 85568\n38994 88178\n4522 80211\n56236 70025\n43225 72131\n63890 79792\n15285 73377\n46566 91777\n27293 84333\n60621 85400\n67671 89981\n34538 73884\n37172 54783\n60640 79823\n41847 62891\n26824 54359\n47910 49849\n23001 52445\n30935 69447\n5009 56540\n17740 63949\n10051 84406\n34866 55578\n19985 52980\n75916 76326\n16284 76493\n67011 80143\n28360 71515\n10075 14214\n24342 87622\n5486 9608\n19062 63389\n8511 60070\n4756 79197\n4625 44746\n1057 17592\n10718 77849\n40589 92302\n45270 67182\n60004 87131\n6565 51934\n1689 87440\n38066 84046\n29507 39325\n69050 90607\n44038 67720\n61816 92587\n33907 64699\n6575 33731\n53141 54432\n11739 51278\n61138 74053\n41700 91577\n31636 48588\n1898 39884\n14094 60563\n37510 72852\n13396 16608\n28539 37504\n42695 77809\n57976 69002\n21247 22067\n38156 44244\n15255 69420\n30867 73631\n42023 50796\n43828 48706\n69351 86081\n15408 38177\n68981 87230\n3075 80482\n11643 46968\n26303 87027\n36479 72383\n64782 68312\n59663 72838\n28866 77640\n348 26460\n5513 84094\n26951 86595\n14801 28617\n11449 89088\n53438 57457\n14356 82032\n53974 79338\n34787 43940\n35194 38066\n44670 92580\n3809 50962\n46375 79330\n39520 91177\n31279 44576\n35254 54400\n6850 16280\n27233 72633\n27429 36542\n45382 65529\n48866 84856\n21722 75324\n12545 36998\n21925 24151\n26676 67927\n30520 59650\n50675 57807\n23022 91789\n22646 54773\n37217 38225\n10326 56262\n9175 38632\n4074 20733\n59730 81314\n43464 44906\n22733 44103\n42418 85730\n37351 37530\n47065 62728\n30972 87504\n24985 75597\n15351 90197\n28079 33666\n55636 67759\n11706 72038\n44868 52983\n16285 83669\n14963 25118\n6819 66839\n12798 35254\n48194 62991\n79049 83962\n22738 39671\n79041 86482\n7427 15546\n60224 63743\n28618 88701\n16264 92892\n33071 49636\n8672 48938\n77119 92443\n18947 74560\n76132 79171\n4373 78838\n13509 38716\n61168 84450\n17565 28531\n18438 76016\n65997 79463\n24188 36427\n33136 78282\n8750 37047\n37015 79906\n23570 29928\n66948 82478\n21967 22647\n47470 76042\n30646 32582\n39879 83443\n38448 52079\n7009 59525\n46030 63651\n27754 45269\n30927 60960\n4338 10880\n1828 57995\n51629 57208\n25855 70353\n30730 39833\n16568 16569\n35576 67590\n2455 26794\n65340 69179\n40884 46540\n65948 85812\n46517 76197\n17259 55362\n41471 58218\n45273 68032\n2738 35743\n71410 82819\n18769 34223\n24569 72331\n13270 20732\n18905 83754\n19987 49549\n73615 92896\n21306 47398\n1192 11347\n32537 74824\n65325 65636\n15197 50491\n36605 59809\n34289 49387\n67341 76814\n62044 82105\n5361 81556\n49882 88800\n21517 70239\n18577 92948\n2766 38241\n9158 72792\n53259 89225\n64368 75294\n54182 93098\n4417 71418\n526 63836\n74178 89001\n1281 92933\n4793 75606\n2488 55030\n39201 93009\n20130 72379\n39188 67731\n22445 80710\n4095 61811\n49836 89382\n24762 72750\n49306 88673\n72179 85065\n8188 29119\n31568 62504\n2427 33426\n73669 92600\n38901 88973\n33710 67446\n54458 58849\n24620 47409\n71851 78146\n25084 41417\n64720 68582\n6810 80557\n52027 70131\n39522 40108\n20309 39802\n15448 53899\n30084 85808\n31505 53048\n9633 12981\n14401 58638\n3725 31447\n84610 86038\n16083 91368\n46663 54108\n19891 87565\n47023 83937\n35319 71387\n27369 92781\n3239 11334\n49217 92411\n14369 63846\n25423 73973\n26827 29318\n23934 93022\n13927 82691\n17231 67607\n43092 72597\n1235 29971\n22546 78440\n28648 49477\n45626 79930\n18096 57085\n23111 34504\n4277 14555\n5539 42076\n14051 79957\n38945 59800\n60618 62500\n20344 69384\n11705 64138\n27232 31029\n22201 25071\n46452 87428\n13048 13790\n16114 40763\n32742 42234\n25604 76357\n37490 75691\n80786 90749\n56 19463\n3431 24416\n54665 60920\n7521 58681\n742 9922\n3349 11025\n74847 90450\n13142 75234\n38543 38808\n4178 88573\n8504 79546\n66348 82062\n23226 32216\n30108 67019\n33082 56654\n77596 79288\n53500 84949\n34938 51177\n59145 81144\n20488 30974\n5082 71524\n12333 44371\n57521 81528\n11429 87353\n11489 28136\n15976 92685\n26908 86556\n29183 55660\n6711 19080\n55565 83052\n63069 83591\n61349 91010\n43866 82332\n5856 86822\n31799 49366\n17399 52854\n6034 38634\n23336 47989\n2280 65994\n1649 53059\n29983 65932\n8721 86272\n21975 90346\n15776 39083\n14452 26507\n66205 76956\n4192 41718\n26445 46660\n45645 88959\n39910 44536\n15935 81575\n32373 52383\n27756 28304\n2627 31368\n39055 51122\n80877 81217\n54624 69021\n14061 24606\n16401 83117\n836 51372\n18764 44245\n33502 48232\n18900 37110\n23859 38418\n14730 78310\n22268 46348\n36960 70302\n34013 53455\n72227 88699\n26740 63954\n12217 85142\n15931 74712\n7434 23446\n4582 70452\n12691 22691\n37440 40114\n3521 29608\n37452 46327\n53485 73226\n26092 30732\n10922 42757\n54286 78886\n20440 29054\n9098 54877\n18953 63473\n35783 78892\n71521 81117\n5731 63263\n53288 85584\n17838 20617\n8518 31892\n66396 86842\n64411 91520\n38450 60637\n41266 89429\n20587 26112\n28057 85319\n5877 9606\n140 14267\n42939 72202\n82899 91458\n57683 83927\n31438 80668\n5494 52700\n52207 65261\n64513 76424\n42794 54449\n8167 18385\n62933 79952\n17106 20485\n43704 89634\n36279 49125\n51479 88435\n26587 74283\n15655 50756\n37388 91431\n12147 48591\n14300 70455\n22245 44922\n17946 67825\n9665 84913\n16061 76588\n22569 65259\n3824 91084\n59203 76147\n49906 87680\n9965 23846\n20596 41967\n24566 36052\n21723 35992\n26423 64553\n9067 11877\n39653 53641\n30731 53518\n86550 92276\n8622 35442\n32402 78716\n72406 73875\n22940 36179\n1297 9944\n32882 71870\n24545 37880\n15644 60117\n712 58316\n15163 63945\n71769 72193\n67291 72341\n63917 65903\n46468 79478\n51841 60122\n37959 39537\n55392 64359\n1540 83809\n53735 72524\n31231 68174\n1596 75427\n53727 69817\n13697 36093\n66123 93071\n49620 70531\n37081 46340\n49556 77938\n13484 79560\n5346 91369\n9709 64598\n7645 66730\n41963 69887\n22520 45477\n5439 53018\n51676 64034\n2584 4129\n41000 77816\n3501 68057\n9017 26245\n49679 54195\n13442 15091\n28620 50106\n48571 67416\n8070 18341\n3650 50916\n26477 41576\n33997 50065\n56878 66219\n36581 70869\n5972 39892\n1748 47543\n25327 71651\n55375 77720\n55101 61111\n13862 24233\n58247 83514\n59032 63173\n55633 86433\n2257 91226\n6245 22377\n36602 75367\n29062 72865\n80925 84825\n10904 17371\n19023 33560\n11474 42875\n28088 63424\n383 76752\n22410 54199\n19274 49459\n39101 60346\n49895 83569\n64623 71586\n5031 53048\n20166 56570\n43071 81432\n42630 72407\n54731 91198\n52934 62009\n41321 67682\n38085 45830\n16522 75073\n77642 84522\n39894 56444\n76746 89418\n5329 89789\n44540 66047\n50382 78948\n35972 53147\n2238 22912\n1291 39399\n6187 16227\n27966 30224\n3779 29841\n2087 43913\n10007 62475\n35069 80251\n33707 33849\n73685 92936\n16171 28372\n24581 25753\n19445 21018\n21246 72580\n32041 52743\n10434 58186\n12616 13611\n4484 11657\n19146 90692\n35225 57677\n4177 82229\n6031 83936\n7401 19807\n10917 50536\n49465 53941\n58952 78965\n19941 35059\n37907 59216\n44384 69286\n12144 79586\n30415 43116\n9163 39992\n60485 62295\n3424 31656\n50436 72122\n32286 73614\n10535 41443\n13933 34341\n1126 20007\n5820 36274\n51481 82936\n27697 87402\n16447 26025\n1794 21084\n30024 70279\n33299 47124\n26172 83369\n7257 25863\n581 76627\n54952 71965\n10221 92517\n72213 85167\n24110 87136\n48620 63001\n8205 23319\n24274 44652\n8502 18554\n23917 89757\n31717 34908\n3404 36990\n40135 63818\n35057 40996\n21336 22555\n50677 70106\n53296 61774\n10790 22343\n37332 77007\n44201 61166\n23249 83833\n4790 64887\n53701 59516\n37057 81048\n34771 55934\n60260 63026\n16383 23072\n26614 54004\n31438 65393\n19962 81754\n26417 49805\n43102 60787\n14599 47974\n22572 44983\n6206 33882\n16528 65658\n31759 33417\n44371 67187\n32670 66396\n19345 59257\n15892 57197\n16305 17613\n10280 48889\n11259 83890\n30654 69535\n19846 23381\n12717 71990\n65445 65810\n17600 20809\n49791 60947\n6735 71665\n14015 52584\n22815 70556\n8877 34673\n13418 14010\n64105 68495\n44415 82669\n29665 38945\n13451 75855\n43763 72200\n38662 66541\n16351 19528\n34320 36579\n45747 58312\n2936 38253\n44608 49556\n39359 57541\n2459 86811\n51659 60736\n32377 56905\n59209 74179\n29608 66248\n78611 82087\n10399 68456\n19371 28883\n29980 42527\n1999 51037\n2725 28166\n8733 83124\n33724 79635\n37754 45142\n28190 45295\n22197 61558\n54483 83658\n62508 76214\n10746 23725\n1394 39130\n25573 63300\n45582 73881\n7699 76913\n53547 59576\n27757 78933\n71688 80620\n28322 47457\n29898 62160\n34744 74725\n39755 40490\n25227 70005\n2759 39413\n42633 58043\n67277 76273\n62541 70284\n19101 66276\n35937 36878\n13726 87389\n32046 52094\n34634 77848\n43481 57892\n17681 25858\n15450 51727\n44248 73617\n12461 87717\n80507 83891\n3223 67696\n3775 53474\n26156 86933\n2347 15847\n27006 31854\n41650 54989\n58935 88005\n8660 77622\n28914 90890\n30479 82725\n34081 89917\n6124 85744\n9792 63310\n5949 34936\n40020 59038\n82857 88409\n21404 33503\n47181 74433\n5518 28947\n63441 76822\n81312 88903\n41183 79324\n4177 81366\n2578 75124\n7604 61617\n1580 79654\n33222 35998\n84749 86318\n24905 65039\n25116 32282\n21951 78179\n25552 35184\n70697 83952\n52585 72360\n1857 36968\n8660 49967\n71433 77127\n23058 76253\n35040 62309\n37485 75713\n59573 82506\n25099 86838\n17788 20794\n80177 86821\n5065 47156\n18068 65932\n5197 36164\n27272 46707\n26913 33802\n31557 71553\n22645 77545\n75532 77237\n37548 77537\n21857 89542\n2202 26056\n79550 82629\n33779 50669\n64202 89223\n80274 89931\n72210 81918\n44208 57288\n28741 86966\n24896 32637\n11579 18613\n38787 87619\n25464 70497\n12380 33319\n65811 73984\n5790 32303\n23618 71841\n35496 36544\n74338 80097\n15133 84351\n29260 45796\n14128 30024\n1994 52387\n6381 49100\n17803 81279\n11571 61757\n13951 60697\n65994 88340\n54624 71161\n37001 61393\n48126 79257\n43115 46212\n54070 85280\n36426 64826\n12845 80451\n20005 30174\n1757 80652\n57964 81599\n192 80786\n23438 84786\n12330 19479\n6634 79898\n48882 91733\n15750 86753\n18209 65893\n44285 55322\n1460 91017\n60042 70640\n5717 10295\n54534 90647\n59911 60444\n27945 66470\n52889 72185\n21932 65911\n61748 72497\n11799 14701\n501 42316\n77399 81547\n17555 69036\n23235 65819\n7810 33908\n5347 49106\n11639 75316\n28267 82968\n1064 24915\n64695 79594\n14912 41252\n34579 91131\n24986 91849\n7261 24649\n42697 67591\n57459 83366\n6344 60613\n38895 74309\n42472 52804\n56385 67022\n15299 39831\n33247 82669\n55044 84321\n16572 92916\n12978 71603\n62969 74544\n14298 78011\n6963 78993\n18395 54682\n6079 64555\n25756 89863\n54718 92435\n29006 42831\n41379 69199\n81632 90589\n36043 76405\n1612 48638\n6795 20390\n19232 76627\n5037 5829\n1080 88614\n40336 51542\n61935 67089\n43117 82419\n22749 46220\n10406 84446\n85803 92542\n3103 83610\n11010 17388\n63007 70190\n51035 64958\n21356 84867\n27077 63962\n31635 79983\n1878 31811\n18763 52246\n36412 61816\n52631 72508\n4185 5583\n20208 34397\n5596 70165\n29716 75184\n49311 67994\n33879 48335\n11810 64222\n20248 45875\n50553 58207\n40684 76763\n85388 86853\n10853 29131\n44012 61189\n29088 34443\n23921 75511\n48200 90136\n49436 68882\n57335 69289\n65441 65758\n42555 72581\n67253 76406\n34263 60975\n57280 71767\n33073 45434\n41029 78182\n12771 26620\n34135 77334\n39885 44501\n39506 71940\n40969 78150\n55547 78704\n30581 90639\n8163 21083\n1305 58053\n9168 47238\n61361 82819\n11692 73075\n65319 92029\n12380 74828\n1417 46788\n5165 22502\n25631 78685\n17527 65548\n25652 43096\n60087 75950\n14032 27003\n2866 57337\n15182 72454\n72917 74440\n43595 53088\n22159 66063\n12938 40757\n59368 92492\n51746 63754\n15044 37435\n15172 17839\n3013 56840\n87217 89204\n74025 85326\n30808 80256\n43440 45907\n44619 90055\n12623 45095\n29665 44825\n23722 87254\n24127 49649\n15530 32669\n28956 60780\n23015 35498\n15543 57679\n22828 85444\n35599 61181\n60064 73721\n24886 48135\n66708 81126\n27454 70553\n15462 34496\n13863 30323\n45666 54579\n45021 79591\n53366 61655\n687 67137\n67596 83914\n24917 76494\n29807 77552\n4509 7792\n17499 68278\n16567 62915\n32966 37088\n32691 46615\n1195 76306\n23652 88822\n5236 88123\n39631 90454\n43289 70409\n11343 23987\n24302 88428\n8461 29377\n23887 58745\n20582 35327\n3774 21983\n2046 70720\n24326 32219\n56651 71204\n33891 50697\n38639 87011\n6456 46635\n40910 55777\n55808 84318\n22176 28222\n4005 37836\n57882 79817\n7082 64857\n7777 41487\n31461 85984\n63967 91011\n50894 75683\n22216 39088\n13660 46474\n41288 45195\n15342 76256\n41911 90449\n67437 77608\n10053 25782\n10788 77203\n33701 89242\n13964 93170\n45418 66493\n17606 29292\n42381 81194\n32553 60711\n4152 11862\n34854 77748\n29815 78881\n32994 65679\n17221 62293\n43575 88054\n29637 75996\n8430 37868\n5732 39430\n7454 71893\n78738 83791\n53421 67729\n26506 82610\n57737 87934\n11122 47505\n18246 28021\n22211 37912\n46050 61286\n79136 87380\n49702 72762\n1984 64943\n27921 41156\n53302 63352\n37 60374\n21242 89594\n6134 58008\n67284 68337\n16255 80940\n38412 63628\n25462 80965\n596 62932\n1276 19138\n85645 89005\n18515 88565\n4220 9647\n33150 37474\n45284 57178\n23376 73801\n43573 85329\n78075 91615\n65773 67721\n3080 83812\n11650 80386\n19337 37776\n12752 32802\n19726 33770\n24451 81575\n45333 72308\n60894 73868\n56450 87133\n4393 4434\n80328 89715\n59175 88095\n3499 73486\n12682 76188\n21906 49048\n21944 91273\n3279 41550\n52301 61804\n53618 57429\n16358 21676\n42903 73027\n16705 66478\n65334 87349\n213 57271\n10755 74507\n28611 32656\n58531 82742\n83142 87601\n814 92408\n11502 74369\n8966 89264\n53613 92089\n4866 79625\n66555 72556\n12976 28896\n41808 78439\n24886 56888\n52585 66169\n34335 82669\n49648 70008\n45281 54118\n7303 72138\n51226 80760\n64152 64202\n4714 64141\n21162 67538\n30049 35179\n56542 85164\n23510 46670\n65304 83623\n23059 64887\n13728 71020\n10132 38389\n5700 15071\n3979 79637\n43223 59438\n11427 69454\n42496 84610\n75109 87941\n21514 65681\n521 61442\n30582 32337\n798 37358\n12374 50206\n19920 79913\n25851 85295\n25584 50545\n26231 59321\n51672 86857\n26125 60280\n21704 52701\n12570 89186\n16758 43586\n39859 78908\n39151 44864\n21888 28206\n3675 54208\n26088 81634\n44493 76603\n5748 87977\n27446 82990\n68973 76503\n29110 78768\n37149 64269\n23177 66334\n31272 52634\n20721 84192\n18554 40799\n12064 67369\n31128 78898\n24680 49171\n14433 51590\n33311 42697\n31082 73904\n33090 46873\n14764 54814\n23140 51031\n64541 81072\n28325 48977\n305 67746\n26420 36038\n86974 92024\n65133 72986\n22916 88433\n39754 47431\n53009 81389\n21392 65992\n71375 78434\n37858 43688\n23612 25057\n53383 73734\n8924 38466\n53673 60166\n36049 80395\n62068 73377\n868 31881\n62553 85082\n6594 27987\n318 44735\n20729 37399\n25661 40858\n23769 92367\n16375 32595\n31811 38554\n36405 80901\n21380 85997\n11303 68582\n6170 59189\n102 39473\n32645 65236\n29513 68354\n42262 60716\n79843 91299\n22027 51795\n9741 83241\n8053 86359\n55174 71541\n7530 89632\n17621 24624\n11149 57102\n28923 45031\n30713 69798\n37863 44386\n43733 76751\n363 7819\n44245 72383\n52206 52685\n14980 78799\n10678 24566\n1204 7510\n32201 43850\n30945 80558\n20967 86725\n62719 84432\n9360 34794\n24047 73752\n2765 13644\n26655 69591\n23197 51250\n9767 28786\n10812 36243\n59259 83287\n55462 81242\n16799 76483\n776 26883\n32377 79716\n48299 80027\n6984 7733\n90060 91459\n39102 62825\n41285 61835\n45470 88548\n11279 90557\n15298 28448\n86877 90202\n64163 72004\n62909 66073\n28050 46290\n46502 66745\n12967 92252\n13999 27049\n33493 56405\n24235 53041\n5493 44978\n67151 67305\n25118 73757\n29192 78232\n79607 85183\n29560 34830\n34136 52286\n1086 40499\n55766 88786\n41261 56060\n42796 66796\n31768 90865\n77141 79437\n42612 71200\n11156 21695\n27886 31818\n8999 32825\n8029 8861\n7276 90390\n26024 65742\n2696 2889\n25129 86844\n63298 65818\n32452 72496\n8450 49214\n31749 84069\n22721 45904\n61870 63184\n10903 15663\n72308 90242\n41714 49748\n38588 75124\n55493 63719\n1691 50648\n11910 26577\n453 64985\n11576 44494\n3487 82932\n27061 59848\n39999 53662\n25310 50316\n54868 83073\n61204 90248\n33560 83025\n29607 87608\n52342 57854\n24014 88204\n11145 66138\n21183 21325\n15379 86995\n23124 23978\n46442 64879\n24483 48714\n33044 55829\n17136 72993\n54531 60812\n4139 32676\n23447 41099\n13155 87582\n73539 88102\n77786 85737\n46676 49788\n44873 92754\n11257 22118\n1271 89030\n30783 50217\n71751 74488\n73081 75458\n30825 42527\n28585 60038\n16767 76812\n43252 61495\n68555 81330\n78407 79112\n3799 28077\n24584 24868\n48586 90970\n52133 71647\n41096 45307\n10724 80320\n42291 69162\n21722 79203\n68639 82520\n50579 74477\n7353 24381\n27915 42869\n18420 79136\n42870 59097\n53596 65327\n34797 60063\n12669 88766\n17956 39179\n28367 33973\n14486 15847\n15730 58151\n41157 73646\n41817 54718\n24013 25973\n30048 41107\n53307 76503\n21068 46731\n6506 29975\n46970 61381\n4177 54966\n57884 86372\n4041 67172\n22409 59438\n12288 44368\n76607 86239\n21338 66754\n3106 82357\n3535 6176\n65198 80558\n33128 46197\n51684 59572\n21738 67679\n3362 20900\n30056 67595\n11393 59652\n1552 19609\n509 69627\n38976 40471\n10425 57818\n15078 63984\n50481 92840\n14982 63255\n1931 84215\n56549 57237\n11270 91204\n60521 76464\n52749 61464\n14301 81884\n22811 40304\n31294 86507\n24444 92755\n914 17333\n23586 46336\n55772 91281\n51686 56650\n21589 39324\n11478 37248\n4593 11702\n11114 65474\n12372 71405\n6475 59590\n1075 7377\n39050 50520\n14996 47419\n4609 64740\n3751 77986\n64428 70055\n22766 33935\n35587 55971\n39780 56692\n5814 65519\n49669 67236\n65940 92916\n36983 73352\n37010 59514\n5318 78859\n38644 50466\n1740 22569\n25154 61758\n27695 50515\n71812 83945\n22518 25438\n11725 45977\n21270 47728\n86520 92248\n51080 89474\n36346 67729\n3990 42318\n35250 45992\n10111 75548\n2303 88507\n12933 68134\n18915 92090\n58124 82402\n41203 92340\n13630 91107\n43340 72914\n51392 54248\n64937 92104\n35853 89273\n623 54699\n6235 55185\n47330 51617\n20426 30389\n45331 83524\n10704 23388\n29619 86113\n45168 52662\n5143 36511\n51934 82478\n3672 34925\n36959 49120\n43648 62585\n25393 41774\n48033 92206\n32561 85769\n66452 83324\n53242 61575\n19182 54527\n5261 92864\n37894 56070\n60290 65422\n11526 80782\n49992 79587\n41966 91912\n27483 72011\n16921 59670\n20516 78416\n33551 44360\n3420 21174\n25604 74659\n3394 70953\n72464 91923\n47756 83592\n3563 14224\n28909 89544\n42302 45900\n36166 87528\n28910 82385\n3445 26361\n19258 36181\n39462 44464\n6844 7329\n4280 67605\n20712 54083\n18148 79891\n41693 43735\n30825 63025\n9069 67906\n2578 57726\n16381 77348\n91185 91288\n73190 85704\n2798 36058\n10865 48844\n42967 54278\n12763 53749\n2771 78258\n37240 81199\n26883 27531\n18515 82440\n62948 89417\n77355 79352\n38120 92083\n32532 77712\n23740 24054\n3807 65878\n12005 56241\n21972 68316\n38081 88799\n29553 81808\n34286 81269\n25549 82055\n34113 89363\n1530 83097\n11079 64364\n6319 46466\n16532 30658\n57109 89041\n1661 68592\n2409 19756\n2681 57088\n18995 47179\n65515 80635\n40461 83390\n26593 31064\n14634 62301\n20962 54663\n13749 82591\n11844 92011\n9412 28072\n16547 82727\n25941 61391\n47079 47758\n7859 42961\n10023 33015\n8457 34368\n5256 58616\n33301 50394\n29366 62837\n17571 67569\n40536 75322\n33472 48186\n16968 28049\n13715 39553\n18816 86613\n27291 87821\n31982 90750\n62356 79892\n50963 53062\n10057 82196\n51492 52361\n28018 91600\n5531 92958\n42145 58139\n199 20265\n14184 84303\n28563 66603\n81625 91369\n46409 82681\n11094 35301\n66798 87886\n43238 68693\n1875 70740\n19992 21550\n47809 59472\n22178 32627\n27718 87741\n28919 74207\n19610 88058\n9778 26175\n31992 58397\n45967 60520\n39642 70341\n57784 90417\n46920 49646\n48065 85944\n9894 44015\n26851 84515\n6264 26869\n26684 85446\n3970 43984\n6506 88304\n60960 63417\n27713 61386\n7243 38978\n12091 21787\n72969 89389\n56783 66112\n10862 64670\n22609 67646\n12824 63825\n20367 66019\n79021 88915\n43564 86170\n42273 92064\n48435 77921\n28960 64551\n3665 43386\n50004 55659\n25414 66848\n3632 77197\n32378 51334\n56259 74103\n56187 91150\n44991 51631\n27762 85571\n56103 65304\n20713 85179\n9343 64031\n12553 52572\n57141 80448\n7093 59719\n7774 41623\n42536 44198\n47602 89010\n13589 54997\n30135 81048\n37691 73189\n8068 61645\n14435 25453\n72997 76720\n47765 56462\n57100 58935\n34214 35392\n16162 40686\n35920 67226\n11381 36976\n34675 42692\n63633 92113\n5907 24677\n6381 38929\n29301 90615\n6771 68281\n20820 54452\n23132 44219\n23342 36983\n4914 81754\n11978 58616\n41434 69907\n1127 3262\n2071 71158\n53579 67840\n49281 54736\n4227 24819\n36014 43651\n2778 26179\n6452 39347\n2139 13564\n20096 87456\n1807 11103\n77150 80125\n57891 60620\n15515 65135\n74535 74561\n75023 84761\n25822 91075\n5286 71396\n12860 41191\n19264 92944\n29332 39893\n17620 32352\n8167 43070\n29291 57031\n56825 91159\n15915 49718\n90474 90903\n2329 69250\n57840 62035\n3669 53441\n26696 73929\n12192 51426\n14771 54698\n44 29963\n39589 90263\n47797 48434\n76847 93010\n7123 86150\n33677 86078\n34722 80040\n15517 23722\n25578 74132\n3487 5300\n34202 69678\n58743 83703\n25082 92936\n16089 74046\n57538 73434\n4629 20903\n50464 88713\n12709 32794\n2569 65599\n35836 88372\n66700 69327\n46087 81687\n27789 85352\n10591 91036\n2465 36989\n56795 84406\n71629 86114\n67524 74108\n46643 70524\n24603 43751\n1550 69895\n30932 75609\n47469 74967\n30737 32433\n73332 78016\n30527 66960\n70605 76519\n70802 74174\n1922 9878\n50926 79640\n55913 66464\n25006 34310\n14113 80217\n43655 50428\n18809 72378\n19195 25185\n7627 74263\n4038 80511\n35903 81657\n20206 43535\n47466 61268\n48121 76270\n34915 89652\n35041 50264\n2652 41341\n60399 83170\n44271 46929\n53560 61942\n9302 44389\n21277 24678\n12019 35753\n2680 51280\n66849 88092\n30166 32634\n18246 22609\n25812 64226\n23745 79500\n14093 57224\n39494 81135\n35056 56783\n25446 43833\n26964 88041\n17691 43137\n850 57895\n23757 31587\n49269 86678\n32347 56320\n21503 46087\n71094 79870\n2080 64605\n27050 31467\n60949 69767\n78699 78930\n69937 80107\n16474 87872\n20137 90607\n29621 45498\n34062 50208\n50830 92877\n42530 74018\n2515 9569\n2924 6914\n50071 75014\n53225 64658\n30436 44512\n64253 87535\n16263 42082\n75894 90895\n8343 38018\n8710 53139\n54035 80328\n31413 77196\n43291 64798\n17345 71907\n30028 37952\n61230 65999\n24420 36862\n12976 92857\n19528 24071\n1816 92437\n35980 86371\n35279 90230\n34556 87458\n19382 48510\n52427 61953\n51809 66931\n42622 74843\n44427 70144\n19408 53348\n77946 91349\n55654 63502\n16844 22360\n1917 2237\n34722 88832\n77466 78508\n12164 50322\n6437 64761\n6081 17014\n27566 73577\n9001 88876\n54721 78944\n86631 87674\n3176 52354\n13172 55105\n78377 81973\n7548 79319\n70220 82199\n71636 81855\n6592 90131\n682 15741\n31957 64735\n26607 27481\n24712 75664\n1227 73239\n79792 85991\n8451 74174\n37543 59821\n25431 49738\n31006 76681\n35501 37525\n92408 92778\n44358 50366\n41766 41983\n33142 68497\n37471 39863\n46174 64715\n2914 66307\n15617 74466\n35543 53840\n40578 67164\n14914 54620\n79975 83770\n14471 55778\n7886 58205\n21973 86890\n32819 75017\n12649 17707\n13192 64325\n4259 72465\n44543 76758\n38075 42059\n53918 84746\n9977 19403\n11905 30100\n43912 61663\n32951 71215\n25507 78855\n22199 42657\n1977 20591\n6615 93097\n52910 58235\n7799 38156\n64002 89429\n20339 49978\n16255 66581\n47061 71545\n83634 86876\n1957 13627\n38055 60868\n82402 87697\n57534 65930\n22405 30461\n56027 58274\n36506 62743\n64253 67236\n9238 64114\n17608 83463\n4729 35009\n76592 79617\n40811 70869\n25698 45570\n58101 79455\n60199 66714\n22820 86208\n29913 55162\n58340 64359\n2194 35219\n1123 55417\n19373 73794\n68808 85468\n15083 45229\n8049 54267\n17405 33042\n48645 71035\n4730 25285\n51607 75732\n6802 30822\n38860 41804\n52559 86718\n49772 62672\n73053 78986\n42673 45357\n68456 77176\n13991 81157\n31943 82479\n33669 62638\n31353 50603\n45197 72843\n9014 50363\n3634 74390\n37564 41485\n17129 71334\n6517 23146\n34041 90300\n5394 43817\n55171 91427\n73229 74888\n42959 58622\n52958 69031\n54473 88084\n57382 65340\n44630 83076\n6744 40661\n76226 80907\n9750 39697\n16893 26363\n27184 34342\n14911 74988\n7782 59247\n20733 36186\n71643 84359\n7975 24260\n46307 52672\n19981 92396\n17029 76451\n9270 10679\n4273 47957\n9219 46039\n29850 83632\n6758 89775\n10735 62869\n19459 61833\n35648 39684\n8703 77913\n26382 51590\n23043 45434\n74202 83584\n23160 90766\n70220 89150\n27931 45968\n28761 61488\n15648 21747\n57251 69419\n8657 81470\n13977 91334\n30756 92377\n40363 50743\n70529 89309\n43182 66494\n35026 50363\n32506 89475\n58178 60062\n9966 60036\n12422 49508\n84787 91690\n36301 37004\n883 68608\n29677 87992\n17817 92015\n27145 73214\n50930 56865\n3025 70466\n16635 55257\n43838 53879\n32968 78597\n6461 29186\n35845 35876\n28004 74895\n33889 67793\n6694 35444\n11386 84438\n41317 72244\n15752 19968\n32926 88287\n49186 73740\n16124 82474\n24298 69618\n5989 71591\n1228 78653\n1652 16775\n41996 45744\n48859 51388\n43274 47249\n47569 56368\n35208 72387\n41592 91450\n33745 75867\n9806 40513\n27007 47505\n6175 90271\n46775 59473\n38852 73264\n36935 59047\n16938 49508\n26294 33926\n29906 35896\n48975 92116\n11592 47533\n35351 51778\n32595 84071\n18197 52226\n24050 69987\n11596 61315\n40630 58084\n27805 58224\n46618 60387\n14603 31137\n4256 68099\n28691 34899\n61571 73182\n15248 72996\n30588 53632\n52229 78484\n5135 11261\n11572 14723\n85828 90739\n76798 81719\n23022 84560\n33581 48159\n32480 40184\n48273 88969\n63512 83217\n50728 65472\n14588 34775\n5792 22293\n79412 88829\n1710 63659\n10160 37807\n49665 82901\n17876 30575\n28819 43278\n52474 66532\n67389 71058\n67259 79310\n21908 88440\n41521 84480\n56441 75196\n37189 50399\n87774 93037\n10241 15558\n30952 67117\n13682 47455\n12959 21363\n17935 65356\n27909 49065\n4789 85831\n28150 84232\n7244 54583\n156 69895\n14335 74603\n21256 32027\n50030 76743\n30919 73297\n61303 85349\n8285 17611\n18504 19065\n63094 88452\n82211 88809\n5046 86542\n17335 21860\n60120 76494\n65119 85424\n9760 52229\n34428 40653\n3325 33647\n81093 92331\n39427 70491\n8150 29846\n8510 46340\n22619 63406\n17195 20323\n2944 55682\n45541 59785\n51295 53683\n117 83007\n18225 59414\n7385 43257\n13145 69659\n31604 70405\n26791 52324\n78880 85319\n32374 62069\n12549 75849\n11445 87136\n20380 67311\n40759 92799\n30944 87267\n4140 29591\n10372 68574\n58363 62051\n57760 70442\n12865 59704\n23845 55458\n69054 91445\n27138 69225\n39027 82455\n13776 45702\n25251 62515\n44391 59149\n12895 78997\n2294 54619\n44404 86875\n27209 70409\n23151 68012\n28188 49813\n37367 91993\n1379 35253\n23572 41576\n18686 29950\n24642 71683\n30568 41123\n30362 73068\n53386 69611\n35323 91756\n50213 86442\n3760 18751\n39988 56137\n47614 59171\n78460 86407\n50838 87580\n5 53947\n57984 78196\n19363 43630\n52332 53869\n58066 72247\n30457 43287\n44899 62437\n32685 69651\n6493 16153\n2499 33179\n34210 91882\n58454 88845\n25482 78706\n15743 55982\n68188 75804\n61118 71827\n2395 34017\n929 84858\n7737 79971\n25866 89818\n13432 85385\n16758 37183\n74172 81990\n4046 67424\n72356 82425\n20086 79503\n41408 53252\n19389 70217\n36511 90231\n42353 74096\n45514 55483\n6211 70354\n13413 41463\n7027 61833\n44109 63514\n68495 69563\n50600 92089\n41717 60506\n31750 67785\n52658 79578\n4114 69147\n24878 34327\n70059 72610\n49200 64788\n12545 49343\n16588 49810\n78370 92508\n28339 90025\n56949 63913\n53855 54912\n54453 70977\n12455 45920\n22937 52549\n21467 30477\n82166 86875\n38960 45366\n35129 67531\n2539 29139\n23069 27242\n69570 83379\n75320 81522\n31297 33597\n2495 22945\n8045 49214\n72102 86105\n51114 78345\n29359 64643\n1562 57594\n34054 45468\n29682 86137\n3366 61618\n3107 3894\n29784 76843\n30315 32024\n34114 53672\n73576 76960\n48115 70890\n42979 56140\n37376 57681\n4260 87027\n63260 73017\n32062 88219\n30697 70275\n13916 26359\n12990 32643\n59934 79557\n85082 92303\n25909 49084\n3166 4544\n36401 66611\n41636 74616\n25319 38421\n37553 47790\n60981 92365\n53713 75247\n1465 5615\n3400 89830\n23821 84999\n37913 82276\n4925 85382\n36192 38958\n46047 50073\n69039 77389\n27659 61962\n27939 70487\n72395 84664\n25031 79103\n38288 62269\n43540 82399\n35542 51077\n6902 23940\n24561 56261\n9696 14515\n21085 35734\n34509 81191\n4152 34486\n35513 40662\n7735 59501\n19238 29171\n1984 8411\n36852 86038\n136 31817\n17251 54102\n29031 69542\n56611 59204\n12093 70222\n3701 24703\n4358 67864\n44160 57859\n58990 72619\n1272 26372\n26044 55477\n18634 38981\n88190 92593\n14020 90165\n7747 43804\n27091 82980\n15676 44680\n57396 93018\n3146 32955\n71221 76772\n29677 35508\n40237 68911\n7716 43122\n5496 41200\n56397 68163\n17425 42450\n66945 86700\n31945 46270\n44540 65503\n16370 90375\n32301 63022\n5332 7585\n8606 49313\n63573 85747\n15449 64540\n72046 80753\n72124 88423\n38288 39745\n75616 90584\n35940 62806\n33832 43721\n31659 56272\n35998 65254\n8858 11830\n70056 90938\n41261 65795\n29054 91303\n71138 77308\n13757 26547\n10315 75860\n39598 86516\n8696 93143\n67563 92463\n34120 81006\n22138 91398\n6579 38811\n5766 74778\n1134 79524\n51985 72983\n23326 74354\n8480 59054\n70 7234\n36161 48800\n23080 78588\n57158 85916\n53058 57945\n42685 82530\n52320 88038\n46349 88422\n63826 74311\n20962 44995\n34107 63908\n25253 40475\n15281 43247\n21603 32575\n28536 92253\n76583 92175\n23764 32838\n646 20788\n53388 72759\n50863 79735\n20154 28691\n1215 37536\n45623 80864\n47159 81780\n50660 59443\n45883 83736\n51546 65548\n11231 89916\n16145 61253\n14211 86835\n56091 81516\n7297 23843\n8083 71205\n71478 74233\n1726 69780\n920 44075\n12987 88125\n90867 92371\n23627 77195\n39755 92971\n63313 87059\n14374 35354\n42935 59553\n5604 60886\n63792 70508\n37812 90866\n10663 41271\n28614 56806\n18548 22838\n19418 57088\n10029 30800\n33250 46792\n4279 83509\n27950 87445\n51752 64525\n14557 24280\n13559 37102\n18324 90200\n42525 43058\n51865 75746\n38941 89288\n18332 68832\n40159 92689\n32667 34754\n6592 79411\n34025 37976\n46762 62195\n48187 84951\n10441 64652\n38551 52286\n33480 66287\n62353 70173\n58809 92429\n21737 41219\n45130 89445\n3861 23395\n15183 81772\n31907 52809\n8956 50530\n32630 48283\n11672 72987\n7948 49947\n13682 58010\n11103 44629\n23388 66679\n20321 43787\n11631 33510\n628 61984\n47858 92904\n17278 68645\n43332 69634\n57518 73340\n3677 44700\n76632 79266\n28009 72926\n71836 75528\n23344 80681\n36197 88081\n4371 53373\n57508 65580\n44188 81288\n4361 11885\n5350 82387\n34935 61586\n52276 85483\n58455 69001\n43841 91200\n79979 90527\n38107 57044\n9353 24932\n35123 35862\n48537 79697\n16673 42706\n10505 70043\n8655 21233\n8003 44049\n45890 46805\n25375 82630\n28349 33621\n9664 36048\n3564 69881\n20707 75268\n6072 52483\n3281 49283\n12414 27478\n43066 71679\n62235 66889\n13640 16401\n12243 78182\n22088 43893\n7528 31866\n57634 86887\n4737 75997\n65912 66151\n15254 77106\n6340 75368\n6502 8134\n17260 49262\n11929 75609\n12 15165\n11257 80499\n2689 42839\n61622 73599\n45340 55882\n33371 60797\n67510 78082\n16642 36304\n64899 82251\n7893 79899\n48490 52245\n54918 92038\n36302 36857\n39466 41258\n18515 53875\n56678 80482\n31044 48196\n34220 71856\n88164 89169\n43023 75638\n54618 66180\n10802 48405\n43890 71334\n16746 66225\n37627 78492\n25781 48237\n2718 80301\n16589 34287\n56061 76377\n60679 92529\n6745 56306\n54776 82748\n20115 74692\n6667 45616\n41979 82052\n13746 54341\n1297 16463\n28663 76265\n72343 84421\n48495 67432\n2920 84256\n28508 63808\n47609 79393\n13406 44820\n78706 84390\n62970 83827\n12611 46541\n29502 45408\n6609 28811\n1952 11308\n40755 47403\n49416 52927\n6823 63062\n39041 82059\n40144 57339\n4653 17624\n20845 51621\n62285 69153\n25306 46849\n8051 17353\n11584 40575\n80787 92689\n13393 52914\n35626 67908\n18274 66189\n10200 32926\n47889 69085\n5267 48627\n45813 87957\n1694 55850\n53228 77442\n65812 83069\n1642 34708\n23522 35783\n13521 81276\n81810 88609\n21610 79878\n57724 60851\n18865 52809\n80294 86594\n58381 77499\n52602 59365\n11078 29048\n15242 16483\n8393 33477\n46389 90603\n36804 43161\n72969 76311\n11178 12719\n3239 83275\n19336 27053\n65707 75026\n2274 53177\n28928 74409\n27397 31595\n48942 76069\n43047 82247\n13312 35359\n51860 73741\n13549 65919\n22062 64520\n28239 89938\n4969 83309\n40017 81966\n29762 86069\n11863 12108\n24672 46590\n8974 19490\n70756 78754\n30636 74910\n8243 81806\n41425 77699\n11887 64141\n22868 50172\n10424 45557\n28861 81845\n5494 12112\n48815 89966\n19446 34853\n76389 80637\n21628 43686\n45168 51727\n22140 41410\n22751 51300\n74937 87532\n67031 90852\n11927 13339\n21479 61540\n69031 84515\n2228 47811\n24706 34226\n15930 23795\n15354 90050\n20460 57789\n20776 23745\n12800 36359\n3358 89093\n14500 43942\n11001 83651\n70902 90676\n29209 56558\n54835 68605\n12522 49732\n19754 42972\n16909 82850\n58409 70436\n10036 24991\n8338 26604\n29942 85544\n18076 55109\n21518 91176\n55130 69933\n6106 44861\n78719 90930\n26733 55696\n84 52271\n3322 91328\n35648 50139\n25676 67652\n68367 87637\n15481 59328\n8061 51802\n8169 13881\n76286 82863\n57928 86593\n2243 4916\n35537 71419\n17873 44716\n37940 56897\n3833 49324\n25572 92156\n47607 52263\n2660 73555\n3144 35470\n7152 67225\n18315 90511\n6952 19409\n62317 70929\n44594 70120\n38061 90404\n47925 53951\n7713 39998\n11891 53615\n25754 78213\n19591 28741\n55136 69421\n29844 78530\n6975 26046\n37630 42180\n28291 44962\n33322 48709\n49333 55550\n19829 35383\n33281 64893\n63199 78988\n38202 53238\n4155 55708\n2648 10274\n24615 44514\n13735 81412\n56634 66310\n46882 68276\n69616 69952\n80761 87569\n57031 60123\n26682 47878\n76885 88724\n17385 29965\n82697 90529\n25662 46027\n77996 84847\n45348 79353\n2242 67803\n54289 74620\n40842 62974\n47534 68093\n18010 74070\n69933 72411\n25095 86881\n51606 78723\n60026 77018\n18487 27425\n64293 88988\n909 49429\n36037 39115\n15521 91091\n14166 36329\n50260 76238\n55194 75694\n64440 87795\n11933 77649\n71762 88103\n52644 78649\n10419 67931\n6664 24225\n7424 84209\n66540 69727\n24760 70360\n40657 70050\n11775 75402\n42199 89440\n41957 76041\n54889 67280\n12256 46753\n64621 73242\n9258 72375\n60453 71018\n14432 27102\n2152 59368\n48954 78270\n22710 68990\n15542 69258\n15670 72908\n2777 65218\n16844 32844\n29390 39903\n67737 77611\n2628 35011\n61722 89240\n37512 50853\n70807 83313\n10405 12267\n60355 65475\n626 33872\n39051 61693\n48037 82320\n11665 81910\n7244 27947\n24043 51069\n18982 81554\n42775 91663\n40458 52008\n17749 36393\n609 69783\n17429 40247\n10032 20256\n20008 92776\n12817 31025\n38489 87635\n22263 81855\n4720 64196\n6853 21025\n45748 61707\n21456 39799\n34444 61437\n62523 91704\n23571 88539\n23276 55790\n316 49988\n22923 53696\n38301 44282\n10463 74964\n22762 32494\n81370 83246\n25033 40438\n4494 50931\n69044 72017\n64033 79654\n76825 77693\n16041 74137\n38860 86381\n68072 85928\n37807 91217\n11502 80565\n25640 54186\n44716 65876\n38144 66920\n19040 40861\n62521 76950\n58918 67061\n4764 77842\n60653 75506\n34834 63265\n8066 58468\n29048 71624\n1290 56942\n6537 48265\n51712 52993\n33053 83547\n4187 83291\n7059 68762\n61507 63618\n58080 81741\n3303 23856\n51491 71801\n74894 76263\n41523 61545\n8915 37083\n15987 49137\n82288 89696\n40892 47055\n34599 37005\n35335 87194\n12391 20194\n12906 32727\n284 29443\n6520 17140\n24112 44864\n61016 66657\n41114 45455\n53190 81651\n2426 8974\n31205 52623\n62740 91208\n64110 72224\n11172 12601\n19939 38788\n59400 85518\n44246 76259\n28813 44768\n10485 65530\n7984 85582\n45599 56610\n50573 79928\n979 85761\n23639 44937\n22515 80961\n109 36080\n27789 83480\n49770 61130\n60265 66447\n3491 31844\n3610 14790\n75256 80942\n57755 83816\n8848 76704\n20749 55368\n51110 52932\n40683 89780\n26683 54282\n19920 23011\n21501 64874\n31281 34301\n32529 67875\n3236 63813\n30098 69419\n64638 79078\n16049 62437\n55714 89416\n6395 45634\n35363 56430\n32886 85970\n2793 11051\n83636 89359\n66600 71659\n14056 84220\n40014 44839\n12705 43016\n29673 44789\n27065 83117\n53848 59821\n37644 43821\n50695 57620\n21154 29832\n1750 9657\n4046 35114\n28549 43790\n24499 48283\n30527 71499\n56642 78323\n71772 75963\n39102 74222\n61480 83777\n19593 61278\n33646 51185\n28395 71170\n33072 80464\n20452 85798\n11247 74365\n22048 74420\n19694 38682\n28343 86178\n9789 84871\n57437 86522\n29073 89486\n50748 64063\n6412 89404\n23825 60787\n31472 66486\n7283 13099\n84756 90967\n21592 86659\n32926 81142\n54922 77569\n39707 47357\n17471 65606\n38885 83710\n11737 34195\n35072 56013\n34840 38714\n77822 84286\n60733 74476\n57961 85099\n18680 88752\n49968 57718\n4903 21605\n11071 37973\n37586 88482\n25170 35250\n65549 87522\n37431 91257\n26685 58167\n3201 31153\n3595 41517\n33135 65209\n46718 72763\n26263 67477\n5090 66017\n4053 57409\n13424 64874\n25801 85098\n22395 48679\n50258 79440\n3025 37867\n13691 60484\n22557 87495\n7852 83336\n38822 79253\n78817 81544\n36265 82378\n13691 44539\n66131 78842\n66216 81454\n16546 61210\n32103 64749\n77800 86805\n64001 73632\n14745 62440\n3393 67548\n76535 89677\n2934 66680\n71194 87852\n26112 56648\n1052 6944\n76171 84951\n18067 33034\n16648 75121\n17330 36693\n33478 63970\n11978 76354\n53945 86596\n43156 63258\n19452 91771\n2784 24464\n39827 63001\n3848 82540\n60043 76828\n14442 45202\n71177 86998\n1919 18977\n78281 85001\n66241 74050\n24773 48132\n39862 73908\n39824 76744\n45058 75125\n31678 35789\n49338 60962\n37954 52662\n21610 31015\n2262 15035\n8261 76504\n3360 88088\n4515 89852\n86282 86982\n74910 92271\n1289 55774\n1212 54080\n42300 55238\n42393 62132\n49196 86197\n18924 84463\n54741 60714\n63173 81206\n9990 35965\n31178 72098\n53451 81246\n6101 49661\n42862 50003\n9865 56236\n48478 88081\n63406 74212\n30748 73218\n41267 43577\n1498 27835\n466 48912\n10998 11874\n12390 91604\n48566 82333\n2046 60938\n19495 81473\n1339 30490\n39219 44206\n6542 45923\n24092 79607\n9426 49390\n47986 72474\n69626 76155\n49699 82323\n51107 67473\n12167 15093\n38227 91501\n53042 85824\n53070 79233\n45730 77856\n63826 81374\n14443 67413\n37081 85374\n28062 91139\n28768 63505\n53595 88329\n5462 8957\n32366 83892\n53421 66151\n70048 81529\n42511 74675\n14731 42141\n21638 57739\n43681 52035\n5601 22659\n47591 67842\n59241 84868\n46418 76702\n7830 18124\n5622 58949\n53941 76043\n44258 51252\n9940 52008\n77203 83914\n60912 80869\n70817 86270\n6846 44062\n1757 7776\n12466 62499\n7502 57731\n26719 34261\n6758 53725\n51130 53741\n7502 32549\n9180 10596\n5133 86979\n45016 84540\n41933 63192\n6981 84228\n12717 54122\n181 47162\n42369 92205\n15079 16251\n945 23269\n34339 76204\n22796 84556\n55151 85827\n26789 28635\n38518 78389\n15612 79071\n34762 78849\n19528 72016\n26692 40063\n55440 68609\n56333 70511\n2100 6747\n14441 25068\n10478 51975\n13485 55364\n4026 23262\n70680 86353\n41781 61202\n53048 67552\n2062 28884\n55527 88531\n2778 20983\n42421 91732\n221 74569\n66633 74005\n52339 75488\n15948 33599\n28154 88137\n30490 92962\n55527 60038\n1524 37319\n2551 53340\n2381 25320\n30099 69832\n12439 54951\n22727 67379\n24307 91638\n32699 77689\n4413 64559\n9277 10956\n8118 66672\n8276 12389\n21432 25783\n1693 31455\n21908 64768\n41703 91011\n22851 81708\n2234 54663\n79584 89250\n44428 81384\n544 51565\n47377 60206\n964 84169\n1499 89193\n6499 92985\n49202 89528\n12621 32475\n30674 70859\n63239 82759\n74958 91320\n32507 34504\n1764 73594\n36494 82007\n38031 81561\n26501 91151\n19399 52945\n10143 79880\n26171 59523\n14551 36128\n43752 58952\n11718 58699\n48238 68984\n59686 78936\n49 26325\n47959 67305\n22249 27035\n38729 87573\n8424 34642\n29003 42518\n58274 84085\n23630 78569\n52833 57850\n2980 86301\n2710 13397\n24707 52937\n17309 57113\n19361 21106\n55658 71446\n34203 46113\n11422 32658\n57501 65043\n45266 79478\n28795 60966\n21679 84901\n8114 85382\n13599 55866\n330 39393\n46464 67315\n16145 74613\n8255 64168\n13926 42233\n26297 40597\n64598 90837\n4087 86804\n36133 59012\n14405 33972\n25337 55953\n56004 86957\n834 41873\n6955 72022\n9760 69177\n61759 73493\n46775 65702\n75536 89645\n13772 65102\n13063 16124\n14311 43738\n57174 79924\n5471 52237\n32333 82295\n4348 18561\n6910 71654\n28051 60667\n83508 91472\n26936 30135\n34729 76602\n37622 67764\n13149 33554\n18736 45245\n32836 71465\n15159 27600\n27680 64568\n14581 22040\n54423 77881\n12747 77980\n17527 18821\n36889 50231\n532 7296\n16083 31049\n52039 52151\n11883 36598\n30751 84061\n34331 92173\n12077 20499\n8790 22170\n19322 26275\n70704 77911\n10790 53086\n39573 60134\n15501 83472\n43351 63371\n40685 63566\n63823 90429\n4953 67971\n32722 42865\n29241 62855\n28710 72397\n38490 79569\n39235 61813\n17056 36667\n39879 67969\n36612 50163\n63372 74073\n50273 84686\n27626 83232\n42598 43072\n14924 53440\n75550 91662\n16777 73948\n39663 55964\n37064 80493\n24891 74543\n46935 82941\n18761 51822\n3445 60322\n49205 79865\n14546 45959\n24782 80715\n51317 61487\n16087 79908\n13347 38456\n2489 21747\n31450 59584\n114 71328\n58008 70028\n8337 32956\n874 33599\n24864 65213\n32700 60158\n8242 92066\n67213 83496\n71934 74987\n35354 44656\n25586 75073\n11280 15716\n6413 59770\n22102 40041\n57556 86955\n43431 49927\n63949 76404\n41983 67580\n30618 86015\n28363 78139\n31207 66282\n24350 32260\n3133 12286\n39377 72357\n50202 55485\n19942 33995\n5536 5846\n68320 77532\n1151 19477\n17208 59054\n13621 64430\n46094 88080\n34539 81452\n56387 63626\n90068 91315\n35935 57220\n78 6524\n53689 82160\n75280 84685\n9228 74191\n7113 74937\n21985 86113\n2690 65685\n4516 61595\n32931 56516\n49734 58341\n19189 38950\n41039 78508\n15921 52819\n64963 73484\n32224 55633\n2510 4340\n325 22966\n14657 82378\n1467 92755\n26420 70741\n22271 27505\n11760 74143\n37807 74527\n68157 87241\n35448 75629\n18910 40605\n30600 67884\n15002 84071\n60789 78743\n31325 78995\n52128 63062\n2982 3490\n40579 72351\n17573 43348\n1582 24977\n42091 72052\n53413 70088\n36404 66094\n1696 54012\n1967 58746\n39996 62194\n20118 61145\n27646 88633\n2800 84482\n67731 74042\n19521 77035\n36586 87426\n5725 39469\n7217 16283\n16989 22828\n50804 83528\n28685 82339\n31318 79071\n48664 56244\n46665 84382\n4534 66711\n15267 43726\n40334 85741\n6433 15784\n27838 30264\n49299 60577\n5241 15565\n17538 45968\n13433 77423\n6428 28088\n27520 77602\n5109 59385\n47306 79999\n64927 90151\n19397 35977\n1302 12388\n27433 87760\n45490 67022\n28733 70487\n39838 52426\n31042 33037\n3577 11420\n11367 18915\n57840 78304\n51517 66690\n61029 63182\n16417 53965\n3929 48283\n4531 89879\n15221 32847\n21055 82217\n1410 84868\n27027 28723\n21267 21390\n1328 24739\n60308 71952\n7900 73133\n6392 62294\n15118 23677\n18233 46468\n22057 85678\n14490 66655\n28398 58303\n51834 92134\n1555 70344\n62493 72404\n61056 63545\n20336 92508\n17226 85548\n488 89060\n25525 74160\n43631 61728\n30105 43535\n66667 89442\n17373 32116\n67752 85540\n67318 68165\n40947 43172\n41347 47606\n37946 58590\n79374 83299\n24151 42333\n57437 71272\n39080 65864\n32328 41624\n42759 75930\n50743 76648\n1240 8950\n13027 62657\n18894 50982\n47069 51866\n59129 84267\n59288 68489\n38002 51755\n42078 90391\n15257 57523\n32967 71882\n52814 82466\n48245 82767\n28063 90757\n23058 67035\n31911 51414\n5319 36457\n81326 89341\n18345 67784\n5095 16699\n63015 72720\n16832 50871\n32920 87834\n41184 62142\n4919 76055\n1151 83208\n17483 72754\n5250 40712\n23972 45255\n46741 56724\n54854 71660\n24921 67880\n84905 87023\n60993 87325\n10789 90138\n10637 38349\n17771 31902\n43881 67237\n30751 40685\n31460 44574\n8294 27505\n21977 75240\n53416 69591\n40449 70970\n7737 64292\n58283 68888\n564 68099\n12605 63208\n29138 40649\n18547 77166\n39842 70951\n23915 32843\n36591 87276\n59557 71467\n926 22042\n3847 62861\n13086 29002\n19714 21227\n58304 89136\n15550 54439\n64318 72487\n3001 59733\n65370 77106\n58423 73111\n11183 83611\n37041 46567\n15857 76693\n33257 60322\n39739 83252\n48799 85704\n62424 86768\n1710 22645\n32858 32917\n76678 88644\n79386 87406\n15486 63997\n33663 70987\n6325 74629\n11999 19362\n43621 92282\n6192 71019\n15127 27635\n4839 22171\n1793 10986\n41605 74190\n18259 32484\n62102 69709\n3101 9693\n25791 36874\n2731 17273\n64671 71661\n45510 47082\n41742 70778\n57139 90074\n13102 72926\n27598 64845\n48333 90883\n8793 35606\n46878 79605\n28679 43058\n5409 38695\n51325 89095\n6182 10774\n51706 77579\n31465 68483\n10009 77314\n10915 81299\n29839 50108\n34901 82931\n25113 34331\n21464 77862\n3122 86111\n19668 89561\n8061 12496\n15856 68772\n33766 41781\n46697 81973\n32820 85507\n10851 18495\n17671 91363\n26913 45466\n13037 82322\n22157 27722\n34299 41892\n39606 41300\n2787 33748\n65490 76864\n61565 65344\n72310 80577\n49503 92129\n22294 90344\n15528 20168\n52547 54977\n14779 68918\n13969 63205\n6556 16552\n22308 54376\n39879 54368\n14536 80004\n3294 6748\n7493 27903\n18173 57496\n33859 86926\n2839 82156\n68292 71326\n19315 66309\n4575 64461\n11026 75695\n2663 73873\n68751 74182\n61373 85301\n75462 92546\n10452 18461\n34554 40656\n34353 49339\n27473 51471\n2038 81041\n28476 68587\n862 23678\n15288 74808\n61166 83395\n13954 73133\n37842 55931\n44425 60215\n27590 47434\n30021 35349\n7821 81543\n45180 70331\n24288 36606\n13537 62278\n72609 76093\n20563 46050\n7169 39244\n60534 87400\n49808 62982\n42668 62299\n33241 41687\n9472 21416\n34478 75418\n36378 53827\n56540 83893\n33761 42506\n15693 69162\n40028 76234\n49093 64299\n13071 49268\n2069 79693\n76426 89408\n33085 73890\n14885 77798\n61826 91751\n9636 85944\n24134 29543\n37794 63670\n8943 64913\n73821 79250\n52548 67292\n6942 26842\n45238 80819\n22817 31686\n3536 5692\n40726 62550\n24935 37189\n6685 81385\n7983 75427\n27179 41704\n26975 44340\n20338 56187\n13947 79166\n3877 67086\n35227 86210\n18029 24764\n10943 12476\n10367 88558\n21405 34201\n10768 48339\n33276 67131\n33585 66547\n15250 23033\n23784 78062\n17995 86007\n77716 79379\n84538 91345\n3584 65862\n23890 57352\n1237 44470\n51857 65742\n70173 73200\n2589 62456\n6210 19257\n19542 25214\n12700 43692\n1131 11194\n91297 92570\n10931 56066\n36287 77156\n53572 72327\n60698 66669\n28732 86078\n18677 73358\n10674 15543\n30824 62774\n731 59813\n25623 70838\n41318 61564\n9316 30754\n28068 69688\n6633 32499\n45924 75681\n80217 81387\n28175 58685\n23957 41450\n72076 89213\n16642 69187\n51046 73579\n74665 74813\n37745 79472\n60403 72600\n30036 68328\n7376 24599\n584 4876\n2965 93178\n7781 38698\n12823 62328\n6910 55063\n1210 51246\n18889 73954\n31652 63680\n12005 48412\n60019 83277\n5162 70257\n17274 84043\n24605 53402\n57962 63846\n9478 48885\n37724 59180\n42570 70083\n10775 43597\n50691 71084\n6602 66486\n41355 45563\n83091 90965\n66128 70309\n47162 76169\n42323 76632\n57320 91847\n9965 11091\n27221 59217\n37734 85414\n36222 49208\n28921 81380\n41771 75067\n58210 74895\n29381 87550\n17419 23530\n5082 81470\n495 18331\n38185 87779\n3312 84502\n42230 66642\n76637 87555\n76383 91065\n21314 66644\n70673 86078\n51997 64317\n53367 68873\n28091 35953\n63869 73593\n53561 90069\n10707 58318\n30018 36336\n8702 50639\n8099 78347\n1119 52604\n701 83389\n41229 63873\n19731 89083\n7927 22763\n12645 76990\n17406 86597\n33689 92917\n7978 84866\n9354 12720\n27848 28895\n47760 87641\n66908 78405\n32624 57777\n6656 91476\n31013 88179\n39065 91778\n25456 58226\n10247 11093\n29539 53098\n24851 57518\n62187 84992\n29022 90667\n26979 61524\n71786 74738\n35485 88348\n11052 51884\n24587 29134\n58770 67983\n46062 49978\n40369 80355\n8482 54415\n18315 67447\n70607 87238\n56758 77181\n86341 92377\n31355 36286\n21534 88782\n38656 82627\n58140 91753\n35106 42639\n28832 89236\n48942 81252\n76050 86586\n15843 63898\n54450 58098\n16041 79067\n29097 84260\n51073 86193\n76354 92627\n22427 27949\n12365 18175\n66504 86004\n52269 54323\n23439 71353\n47089 68121\n65918 72707\n13000 56665\n13239 89477\n5914 71976\n22562 74121\n18613 56478\n25474 33221\n2265 23439\n9557 26566\n47909 83352\n46200 47252\n7915 21395\n29824 90983\n15309 19571\n67206 85466\n62434 69791\n13093 71671\n20962 57664\n24751 90349\n27708 47444\n48531 88570\n73036 76516\n1885 19448\n80611 84946\n49233 50052\n25489 59979\n1620 49275\n33388 49778\n34365 84693\n27724 87864\n11160 44796\n3487 64081\n16332 51846\n32987 72600\n3919 84821\n1483 52965\n29185 69692\n2346 64476\n50832 88802\n24241 60370\n44249 55355\n10736 82690\n3076 90323\n13526 26435\n74915 91702\n11831 32152\n68196 82720\n50950 74242\n1043 6127\n37892 64226\n12840 24391\n3055 8611\n429 18226\n8628 81512\n4664 76438\n49068 74350\n53363 56807\n22888 43783\n7921 89957\n61377 78878\n77959 79005\n55839 84353\n29914 50541\n900 14996\n54842 84053\n30979 88011\n40737 88784\n29989 92222\n31955 32075\n37007 92757\n31046 38079\n13779 89371\n2485 62026\n28625 41396\n20867 32848\n24000 85223\n17496 70102\n73236 80147\n18209 27012\n54716 62944\n35335 51581\n10453 65854\n1056 6032\n14798 18991\n378 25685\n390 50038\n17646 80098\n71660 72752\n37063 66757\n28383 80641\n76088 84664\n90460 90589\n55587 78753\n58124 91022\n55001 62055\n34974 72145\n69516 73935\n72021 83161\n10349 33145\n66920 74570\n11219 80122\n14177 40077\n24595 66979\n29951 89690\n322 50717\n15199 58621\n27504 88981\n8581 85126\n16937 65937\n66381 70556\n13417 18378\n67576 69903\n54309 65331\n57605 62450\n3319 82086\n63079 69945\n20357 61262\n18446 55997\n39228 88985\n30776 47231\n2987 69295\n36723 55395\n36964 38650\n34122 66424\n62275 85689\n37352 53411\n23133 76533\n26327 51976\n49964 52684\n87054 88995\n31730 76334\n25022 37605\n39451 83892\n8743 59841\n22624 32048\n8205 20788\n2465 44275\n14637 92843\n42963 85595\n13439 44924\n14209 87465\n63048 79639\n54054 67546\n25938 44843\n32038 34942\n22184 71591\n25849 48641\n1298 23749\n4277 9276\n17463 43402\n25324 53853\n17241 32003\n51148 91434\n47251 69149\n427 10471\n87231 91389\n89426 92179\n18949 69584\n33309 43525\n66025 87375\n10622 42396\n90 14968\n8509 43207\n28709 45307\n38435 83069\n42185 64227\n21328 41778\n57874 67247\n36300 37469\n2602 80565\n16368 50714\n15451 57267\n5573 28977\n45061 86547\n45660 71455\n32729 77143\n44139 73283\n18409 36126\n35084 60348\n9096 54729\n57879 83387\n891 81218\n83751 84862\n56426 63072\n28577 48756\n8846 69275\n34004 44766\n35118 52440\n5891 93134\n2986 50105\n21199 45394\n19179 22070\n13995 31904\n13551 36410\n8968 75850\n2943 38300\n10696 27592\n4258 52421\n26368 54489\n63140 65750\n42256 90286\n28335 82292\n42734 64271\n49556 52820\n11396 53519\n58787 66746\n12572 59014\n30756 71295\n9488 71665\n26022 58638\n36564 81615\n11905 41086\n7491 71456\n59246 75603\n59508 66875\n31431 80353\n11441 57651\n41906 54017\n64406 79960\n83489 86928\n33692 83699\n23792 32440\n29044 87765\n55829 56595\n42494 64242\n11530 37052\n42633 45863\n47037 62386\n9132 24159\n26632 80341\n11542 40874\n1613 87754\n21698 35364\n67479 82672\n33934 59339\n35229 65510\n103 66207\n18266 57537\n58447 67181\n35285 51610\n5708 25046\n23807 32629\n3578 55942\n15591 42879\n16667 64303\n65051 82011\n931 52333\n35894 46259\n68069 82654\n1887 73546\n34513 49715\n2968 46068\n14715 31438\n35393 46104\n7881 13612\n1860 77445\n27112 49797\n14265 89086\n34657 88846\n13694 80487\n7716 56629\n2222 33567\n23419 74492\n3675 25757\n64867 89817\n48904 75879\n43619 86020\n16090 20618\n18009 84127\n19455 70297\n3150 54517\n23135 24821\n29869 77954\n7660 88959\n8836 79180\n16986 78798\n31513 87381\n26548 86421\n17790 73810\n17707 28250\n49081 85564\n35026 69832\n42237 63673\n16579 61386\n50442 85044\n30151 56339\n48207 63149\n52776 57745\n11594 81144\n14119 77258\n21416 67825\n20876 41866\n49788 66494\n23758 73466\n12729 77191\n48375 58768\n39191 57592\n42995 82628\n76960 80956\n7536 62597\n50204 55561\n58245 58626\n61617 81412\n230 33685\n56619 89362\n44233 46541\n15774 46396\n61789 79364\n49038 90670\n21198 31295\n36945 62458\n51122 90827\n71511 86927\n5477 9350\n2196 16504\n9331 31277\n63692 72483\n57436 66040\n33593 88504\n11753 26687\n10471 15355\n44345 56478\n76399 81983\n74508 93093\n50528 62027\n66351 83952\n4321 79533\n73506 84918\n34256 58242\n1377 51815\n74826 78218\n12788 89039\n41532 71971\n61254 86486\n77578 79227\n19061 72138\n21942 84279\n76133 90546\n5929 84046\n5174 36552\n48875 49547\n63037 77783\n681 14234\n67433 79039\n2360 92497\n11019 25353\n39943 51371\n33813 40486\n25481 32692\n29571 62082\n51187 62285\n90808 92669\n68341 87490\n6212 30570\n39434 63297\n3942 83198\n62397 81315\n62544 79169\n72941 90365\n55721 88807\n12082 29199\n14937 52932\n22765 45632\n27027 66842\n46526 83096\n64869 70145\n5116 44129\n57013 67599\n2485 30281\n29273 92018\n69529 92367\n571 88545\n783 42399\n34694 52611\n1035 88724\n27775 69272\n50825 74737\n4376 19559\n2840 54199\n24740 80171\n2583 90459\n11798 59765\n23555 84135\n20405 30111\n43720 92405\n9725 77538\n24482 69284\n41180 73794\n35875 56220\n50266 89012\n23672 73751\n33160 64025\n54911 79814\n27047 35304\n71413 81187\n14672 62333\n8898 12266\n20611 23299\n20263 84254\n26771 34495\n59839 71652\n24875 28737\n61647 62232\n7130 13006\n34836 87964\n18940 37507\n27153 43666\n17934 37550\n641 27424\n4067 78526\n52478 90295\n1432 10201\n82443 85860\n41949 73275\n47148 51165\n53575 58510\n29830 73228\n46392 62355\n35814 39519\n2294 56253\n54785 87280\n19111 43215\n18040 36425\n43139 46437\n18053 79178\n49808 68001\n18431 87868\n22389 39321\n4452 87927\n17389 43485\n57632 76030\n54591 89328\n24324 85258\n24909 56698\n49560 71972\n50835 70031\n26227 53547\n53769 88043\n56989 78894\n36167 85452\n53767 85669\n27909 41295\n36827 66341\n60996 65805\n45685 74065\n39053 74845\n50986 53701\n61527 80161\n75637 77376\n18014 76461\n55424 58543\n24624 69877\n9047 72312\n5126 17886\n61069 88533\n63676 88587\n51151 72429\n47229 61840\n1126 13518\n6863 29471\n30829 43410\n44781 61590\n35045 65660\n12367 36976\n4842 32133\n70629 70665\n34902 70620\n26219 57221\n9091 64497\n23999 65248\n2141 2779\n42478 73657\n72341 83393\n41615 52503\n69362 81695\n60070 91480\n52131 78582\n18200 65197\n4915 23158\n66812 89621\n33225 87483\n45847 53299\n28123 42191\n18147 47778\n80512 86984\n3221 44811\n40849 87016\n8524 60328\n45096 85932\n26883 71779\n29971 90967\n9697 40184\n11084 54865\n5374 37895\n3597 82617\n40726 53661\n45396 86733\n21741 32493\n602 58001\n59360 67245\n62367 77466\n29261 44543\n61203 66854\n33446 55601\n16337 85358\n81066 90378\n41224 65989\n55601 82305\n8864 52089\n40574 45104\n16492 39054\n9604 62702\n14832 62561\n42278 47785\n2505 46331\n62923 78826\n567 11762\n43351 57149\n470 32680\n9092 36816\n8876 77741\n62984 88845\n22022 86822\n27676 41442\n43201 46594\n22116 23240\n18707 62787\n18975 56928\n28972 32054\n10066 13594\n59012 74155\n26232 30243\n32888 80490\n24269 91060\n32423 42498\n2318 86699\n24196 73161\n33841 50652\n2435 85627\n22182 49306\n53767 58575\n47755 87293\n13280 20178\n9372 60998\n49730 78272\n6540 51141\n90492 90783\n49291 82832\n30139 80858\n7818 80995\n53009 82101\n48480 52806\n18789 71060\n3753 58899\n54960 78498\n53042 53602\n9337 30657\n13994 70469\n1496 58079\n28590 50046\n35983 81708\n7966 26974\n20084 27676\n66406 78807\n11260 28722\n16840 49070\n25755 86098\n10008 37212\n12735 30053\n41847 67183\n48046 60686\n60555 74373\n99 43980\n20041 34745\n34112 41264\n82595 83258\n49582 78119\n46150 82729\n49782 90847\n3416 87465\n52498 59440\n21547 79424\n57132 75076\n4206 91150\n14818 63313\n311 35399\n15259 19652\n11393 39466\n5423 35190\n31148 38450\n77821 83456\n39047 49654\n41750 54118\n14824 57834\n10098 88470\n42447 85865\n52968 55676\n78714 87358\n80631 90320\n30578 64651\n15957 53170\n12901 84903\n29871 67679\n5098 31226\n6146 79649\n35536 61524\n39951 45009\n28017 87022\n13776 15601\n52352 53019\n8014 22678\n9077 84696\n38249 74710\n16244 85936\n170 56625\n18733 50374\n71074 85234\n68187 85581\n50019 54577\n77245 86393\n63380 71596\n18486 56841\n6500 73566\n13060 27190\n34619 40725\n40731 46751\n38104 74474\n62725 66080\n9168 24684\n6919 18284\n457 83071\n36433 45413\n25672 56793\n45866 51919\n12650 18746\n4734 23027\n588 20496\n32599 67093\n39633 84607\n29510 56332\n9109 57338\n37305 60366\n3910 54004\n31688 61179\n63978 65324\n6072 13622\n5502 89035\n17662 88513\n69801 91832\n42787 50554\n49559 59824\n14657 15540\n72254 75597\n23713 88652\n30352 59673\n24054 92054\n5419 63451\n54415 85109\n2718 47370\n77849 83187\n18798 56796\n62754 68450\n29796 72530\n58325 78179\n1956 51112\n52813 90259\n27750 60160\n18777 26039\n10920 29458\n9074 20733\n31613 55967\n45535 65750\n713 88514\n71038 85572\n20731 47348\n68899 70605\n18536 34287\n38145 46367\n33929 44723\n27700 48331\n37749 46248\n1144 24807\n3466 52239\n11352 13067\n43650 77083\n49323 72980\n51964 54976\n39287 78110\n50851 60237\n82265 82593\n32968 50020\n13939 86214\n58609 85099\n18989 63578\n75215 85231\n77262 89857\n44308 87069\n84570 92341\n20089 50974\n34873 62971\n10606 44137\n6239 56614\n17886 69940\n13762 88399\n15183 23172\n13535 61747\n10856 33735\n2231 60806\n7962 64816\n164 50868\n18819 55041\n13973 89816\n79303 91059\n81745 88420\n818 10477\n61011 70071\n30056 48728\n42441 88828\n4304 74978\n53576 83332\n9900 65036\n8409 11018\n18319 46260\n19623 60856\n8561 77835\n37419 83566\n63214 89020\n42477 59579\n3763 45039\n76804 80863\n8809 8955\n63327 68184\n40330 52954\n52860 67651\n69849 84046\n70992 82388\n30133 49604\n30813 82360\n12574 53431\n54389 76130\n17278 25186\n43914 78755\n7442 63381\n46324 65245\n35437 37315\n41214 91189\n37230 53480\n18779 24285\n49232 71900\n17862 62395\n19654 40825\n47301 65873\n2348 69377\n9578 21092\n43620 46156\n18138 89676\n6116 72101\n42871 73705\n12749 37060\n82824 85658\n2700 6320\n20423 92464\n9667 32024\n38785 78903\n26570 76332\n48344 52181\n69951 75582\n30885 68056\n65697 77444\n33678 87304\n89672 93110\n51424 77967\n23944 56264\n61611 86251\n85128 90235\n57172 77403\n47006 55846\n49442 83968\n9326 65895\n498 29168\n79490 84054\n30399 89375\n39783 51523\n56215 86285\n4975 64777\n22357 24456\n45471 70442\n24232 75010\n16309 57166\n51334 56410\n9980 37007\n19477 67388\n6971 33330\n33651 86611\n9345 91818\n27127 69831\n28230 41277\n21923 24812\n15894 52029\n47488 61209\n11914 18121\n19189 45985\n43584 59509\n46679 68375\n73088 76093\n5501 21814\n1982 46276\n46888 77502\n15501 41749\n50608 86220\n46593 78791\n60620 76977\n5987 6043\n27432 42166\n14550 58028\n45642 58897\n4126 37150\n37704 62603\n7790 78715\n33058 89592\n22792 86268\n7213 23038\n43913 76018\n46476 57448\n17144 60679\n17694 27253\n39073 47828\n28720 80493\n63670 75427\n20195 33476\n18982 74739\n42191 83707\n4450 41808\n23286 60326\n19749 68436\n28810 37376\n12156 75614\n41593 73971\n45775 59994\n62264 76691\n22666 87779\n6235 92570\n36358 81197\n30945 76342\n61641 81983\n308 60787\n64150 87449\n17597 29947\n34499 90559\n961 25481\n37816 59120\n28210 38767\n21306 69529\n47353 47787\n9062 67665\n44986 54420\n28329 76935\n44998 92945\n15528 42758\n56723 59826\n27309 50484\n54637 76798\n2154 77231\n11883 87924\n41035 59987\n49583 60480\n62044 72032\n26098 27110\n11300 26250\n10561 45758\n6419 22297\n36040 36180\n11221 74065\n21155 35242\n29009 59261\n8986 83540\n11645 75286\n53917 57354\n65356 92396\n72344 80099\n22889 65668\n31521 85838\n16897 18927\n17800 30617\n73450 76632\n66109 70330\n8356 85646\n1018 47321\n2699 78167\n60021 68979\n54609 78137\n4188 36177\n379 21823\n21177 45515\n35108 57106\n25335 77509\n6872 55254\n828 81179\n55459 80995\n4209 22476\n1100 35995\n25655 68458\n34873 46752\n57416 77644\n47225 47771\n35097 75993\n24566 66189\n44071 46177\n3881 8203\n28705 58045\n8434 18130\n23792 59445\n36046 88065\n14940 45413\n14962 65447\n20942 35890\n49690 80123\n10971 59769\n41678 77450\n34595 88424\n73913 75412\n36425 75222\n70232 76663\n5013 36467\n43950 76608\n43966 74629\n11457 58567\n10086 85559\n28218 88659\n26748 78707\n32806 74021\n50187 81136\n20474 86060\n6453 91588\n14107 62632\n14877 35950\n60938 91452\n18981 91552\n28232 56943\n41485 51989\n46781 53107\n66628 88878\n1035 28746\n57518 57688\n64605 65933\n58874 87588\n19137 44757\n34937 87109\n33349 71335\n22388 65263\n58299 76145\n37451 44923\n23472 58877\n234 43645\n37623 59644\n45826 57278\n26517 43993\n78978 90580\n4395 66488\n22701 55545\n28971 83902\n22017 35107\n2989 71143\n12065 34140\n56238 66979\n14515 48781\n19821 29245\n40838 73565\n18125 58584\n26481 71423\n70307 91690\n48466 89471\n35673 67714\n53112 67887\n21535 36963\n10195 14985\n4901 6880\n63637 73339\n72958 91993\n9799 70085\n87274 88967\n8770 56713\n7172 39596\n63654 92666\n87184 88371\n30393 39332\n7584 89846\n7721 46003\n42785 75468\n2384 24822\n48616 56519\n56547 76745\n50519 91814\n7771 43943\n11455 52775\n61107 70906\n14208 75631\n2966 33890\n47146 77413\n1471 3346\n18786 87917\n8635 48594\n28948 29319\n11633 19771\n65356 86610\n20572 40894\n39749 76055\n34312 84607\n19156 64427\n524 29712\n67718 89563\n27010 27934\n64219 71205\n19465 85017\n25174 46794\n29305 73187\n40498 72928\n7991 79729\n30630 34839\n8321 26531\n45309 86027\n41954 85632\n595 58884\n44861 93151\n77422 82435\n22787 69891\n5853 49826\n43091 69443\n13075 56225\n5273 49369\n22934 35971\n5859 58342\n40470 69598\n41117 60621\n4501 49900\n23909 73480\n51077 76575\n18723 38816\n40219 79039\n36941 63306\n47907 76425\n54094 62959\n33680 83047\n2579 48057\n57848 58160\n41201 53216\n71942 92593\n470 48334\n41054 62297\n13165 82820\n37250 77272\n33664 87340\n1679 30164\n14598 38245\n26538 50553\n37039 66113\n21391 64332\n5364 10221\n12823 90667\n7609 47715\n40544 72139\n21078 26213\n75536 84103\n67314 77662\n33123 72982\n53815 76327\n19189 62153\n60637 82872\n7637 34651\n14799 18644\n10362 37143\n24875 88539\n68926 86746\n48850 85372\n35226 38794\n72764 88347\n84307 88036\n12354 56632\n4492 75496\n5035 11857\n26228 90749\n36655 46786\n12534 26091\n2041 22110\n29461 49004\n8721 47404\n2525 14151\n29392 58365\n23250 63745\n22972 81147\n3613 45529\n49241 73281\n64934 77624\n13850 47984\n24674 68053\n4302 49630\n28393 78466\n65013 71594\n26793 46265\n9727 76924\n26902 91000\n74587 87368\n29935 49157\n35856 52881\n12792 61343\n58268 59281\n34001 34112\n36664 80013\n74026 77910\n24577 61084\n6518 10538\n8690 27336\n12696 68195\n217 14306\n37888 40595\n15774 17350\n30802 30855\n16272 75996\n26662 42082\n36151 76457\n9879 44549\n33455 43587\n26483 46062\n24681 24901\n37892 64011\n66186 93060\n45007 54129\n77158 89125\n66844 79021\n66962 82752\n13724 40216\n15752 71741\n1307 53292\n86803 90665\n45187 76384\n44382 53518\n18391 78036\n53513 58266\n3258 7099\n28627 91644\n29809 93013\n19286 21325\n31015 56461\n12275 92860\n10688 14928\n8136 91592\n41682 52156\n42314 68372\n6859 20891\n52321 69402\n13298 33817\n62874 64937\n31209 39595\n64377 77859\n5024 65939\n42212 72661\n33571 73556\n23074 27937\n32185 62147\n5362 75871\n33434 57629\n920 11274\n19480 83133\n20122 53818\n26424 75592\n4783 75876\n33871 63483\n49361 76084\n54276 76495\n48994 59075\n20660 78266\n6046 41554\n14084 62895\n80549 83510\n37713 52088\n18094 32199\n12138 42191\n31268 68768\n58950 67853\n3660 56288\n38292 43834\n17075 25972\n29496 38562\n19608 33926\n35330 65218\n53130 66456\n1887 54891\n25600 85321\n53724 58247\n18263 70323\n32523 83782\n62777 89888\n20225 88633\n47550 47669\n48453 59624\n14239 68242\n66629 78113\n26034 57190\n15566 72139\n24039 69164\n11253 21387\n9513 75803\n2247 68773\n90025 90960\n45874 83153\n42236 61147\n72809 75244\n58227 71815\n73382 80987\n56975 88365\n26839 41988\n67611 91469\n35703 70800\n6035 35127\n57672 58471\n1503 65784\n4115 90424\n21847 81065\n31095 92548\n1170 70449\n24624 84761\n88368 89665\n1249 81199\n8246 39323\n48475 91849\n17909 89544\n10496 83633\n49858 70918\n4567 43234\n5790 11100\n43013 67211\n13081 80810\n3898 33670\n26029 38571\n43281 82424\n47102 52419\n24694 27876\n29323 55949\n23052 53959\n81690 92903\n6347 19837\n67132 84240\n12432 33992\n11813 54821\n57712 91952\n6235 92110\n61731 89929\n38416 40759\n45803 73000\n2365 58704\n7844 82807\n4382 7686\n15031 16413\n51739 60735\n42808 52056\n21609 50560\n38061 75522\n3017 68254\n57714 93099\n4461 26050\n6970 30324\n89623 90174\n25589 70198\n8027 48786\n46077 53915\n21796 47377\n17193 81846\n27615 54294\n64890 72215\n43812 73304\n89611 89979\n51601 51989\n6359 69423\n29757 42005\n29410 51227\n31287 60392\n53455 90138\n47910 93161\n59465 78786\n18390 77651\n26155 83972\n50796 75065\n51073 57290\n81371 91040\n72643 83563\n5042 30201\n958 33272\n46897 61103\n37390 50592\n48674 74490\n18954 69522\n49151 50481\n20547 51584\n86519 92523\n7003 85832\n1287 37116\n57997 67781\n54358 87102\n55815 70590\n5511 47310\n13809 22380\n18202 89411\n40317 89482\n13284 52053\n71515 85816\n51605 76576\n16837 91618\n46818 57521\n10297 66789\n6390 53077\n27050 62593\n282 22984\n29748 57350\n13623 15249\n44997 78964\n20618 44249\n51251 60190\n3281 72997\n59535 72673\n24456 82676\n13191 48551\n2810 42057\n26728 47024\n22706 29439\n12760 56142\n3806 15385\n6886 84831\n35685 57902\n46078 90243\n46559 73619\n63936 66259\n49514 66161\n42567 87983\n6189 16404\n66101 90494\n52135 76635\n23449 37409\n20097 24510\n43055 46359\n27364 86951\n33790 67257\n27499 63182\n58439 91140\n23582 34102\n30804 36355\n72695 82726\n63296 82883\n20239 37758\n5833 42303\n34928 78120\n4767 68448\n61828 67550\n804 33808\n2234 46379\n40812 71153\n939 80662\n2875 60322\n34792 76361\n45498 50235\n17566 65358\n23031 29677\n4263 60114\n64283 71049\n16725 57769\n60679 74384\n6159 88792\n22036 54514\n7659 44601\n5943 33614\n27816 90010\n40904 54258\n62367 91959\n11930 20850\n195 42288\n37210 38419\n51934 83119\n11399 83817\n8739 36679\n24141 45999\n35363 48377\n64763 73726\n4237 36060\n33588 36816\n20456 52196\n27390 73830\n20689 77513\n14660 83781\n19548 69078\n21028 41428\n8061 64163\n80477 92952\n47095 75795\n34848 60903\n43743 73127\n7522 39755\n14323 28234\n9836 39702\n124 78799\n2031 77379\n13949 40988\n30322 31717\n29143 88924\n2416 40449\n36104 84008\n71369 80502\n50743 73176\n13314 27123\n59541 62161\n40816 91479\n31365 63497\n17881 80413\n3512 57854\n31814 56388\n21834 63008\n18187 18922\n16626 36885\n6170 84338\n17002 92864\n38441 40076\n6839 32213\n21691 80662\n55972 91306\n24055 68188\n21058 81461\n15395 34493\n32995 55384\n1386 52461\n10958 54036\n32810 48658\n28745 29082\n23002 50553\n5038 50554\n17584 70391\n1558 90622\n47091 80171\n32931 40682\n41515 86654\n13726 77624\n47477 64523\n43798 63422\n4356 64871\n38901 63847\n8540 22512\n16817 38062\n16908 18776\n64605 65799\n14339 89156\n7964 59886\n20187 79848\n68698 69245\n27655 77306\n62284 78198\n38309 88719\n70712 80686\n11506 77187\n19287 50784\n44766 81164\n41669 43433\n17819 25580\n6030 32105\n1620 41530\n9351 79552\n23580 62582\n4663 24492\n26047 36853\n1736 62642\n23839 42611\n57433 92137\n15137 79306\n23001 54860\n31344 89498\n16101 48249\n78228 82529\n1892 20121\n9305 89757\n62890 71741\n17120 68348\n28800 85240\n82388 83734\n9738 89558\n43157 61353\n21499 63589\n2564 21627\n66460 89503\n3347 38018\n14627 60822\n14089 45746\n28789 69946\n10643 64329\n46247 79640\n26208 77657\n74154 84733\n17600 23953\n6711 37260\n10805 12644\n69027 91534\n5396 39928\n15997 53790\n17828 36212\n17674 36604\n2790 53080\n18865 68074\n37155 85412\n36738 77034\n24442 62874\n87082 91061\n12875 16956\n70179 71239\n17833 77890\n8747 91379\n31239 85155\n59149 77082\n87512 89067\n9087 23113\n42945 80204\n39536 88109\n14908 43524\n41679 58278\n27792 65265\n28310 52897\n61882 85845\n51582 61121\n16042 67068\n13796 55948\n23256 77889\n28273 65533\n8526 65236\n69498 79347\n60670 92977\n6232 70563\n25545 55452\n37797 71738\n23518 48044\n48329 78787\n14944 58081\n11906 81963\n20655 38529\n6849 77388\n10389 66052\n47554 53359\n39995 54642\n73748 91705\n24149 55016\n52030 59943\n23011 30866\n23243 67627\n3625 48894\n23783 54888\n12199 41139\n47252 84955\n23022 61620\n10998 61490\n20173 44700\n44213 91056\n71008 86538\n23322 70512\n45016 74641\n56241 73796\n76413 85984\n5266 76089\n19407 71389\n55526 80914\n11134 63324\n18449 40726\n6360 58436\n27125 46225\n13654 22633\n76 17818\n65075 88224\n3765 49561\n82600 83648\n63727 87177\n12287 16982\n1794 36693\n4817 48163\n76218 83306\n35007 38391\n16777 41618\n71319 90218\n53459 82222\n10073 19007\n15186 80568\n34395 61242\n26837 56972\n39874 48373\n51754 55116\n35851 92920\n28989 46823\n32444 42289\n19106 89759\n78898 81741\n58169 65514\n3807 69896\n6134 62338\n27964 67652\n33278 42704\n48273 68327\n23787 78467\n46260 65349\n28176 83543\n29133 76973\n39417 71070\n35790 47345\n45013 45644\n1350 22919\n24031 65549\n36229 51115\n10390 11167\n35293 87199\n22997 80844\n36913 53224\n77196 87398\n24990 63301\n34972 92631\n4672 30021\n30747 46192\n20636 89328\n37515 42103\n13062 24269\n3212 20938\n58577 71487\n9213 72390\n63847 90748\n11693 73963\n16196 71887\n52975 90524\n19120 21994\n83018 87600\n60277 86684\n10090 66214\n5164 48570\n53763 61723\n38229 86060\n68414 89780\n41575 42135\n82411 92157\n10708 25381\n54787 64118\n59087 81011\n36042 68017\n270 91423\n24850 49857\n31706 39417\n19452 26711\n55115 86073\n13904 49805\n1052 65393\n53643 63399\n58714 78958\n28228 28759\n46591 91757\n41738 51233\n4682 84854\n30622 74045\n8407 38771\n21618 92915\n16748 31348\n8506 12686\n40319 59351\n62106 85822\n8074 76315\n36791 83271\n27504 88634\n14007 20412\n34627 39007\n9721 26017\n1105 18638\n6230 13710\n27674 59754\n73773 74408\n27338 67165\n16613 84119\n31683 57119\n37578 61078\n6093 11298\n4412 41724\n7310 30605\n917 2559\n49045 58594\n17883 21774\n33515 83868\n15006 40729\n44117 64562\n6174 30473\n44507 86286\n72865 84607\n8012 90593\n34886 62870\n69104 84156\n21015 23489\n26742 27240\n6912 55395\n2197 81729\n29547 44593\n45990 53101\n59850 83973\n19702 20551\n45631 57527\n1800 16547\n12043 90153\n43590 83262\n13832 84964\n24029 57579\n28322 46485\n27281 73090\n21342 61377\n60321 68182\n5711 8816\n11677 12904\n71579 91990\n2675 58843\n6542 47685\n85277 87466\n60204 69819\n5081 8924\n29062 77205\n43281 60430\n3800 54549\n15688 86597\n51158 76874\n66684 87096\n9370 58328\n51874 65046\n34078 39305\n55533 61075\n8961 29906\n882 20031\n22355 40675\n40892 43445\n70990 82541\n21594 77646\n11930 32098\n42274 75197\n66270 92465\n73255 90620\n5936 60379\n57884 58097\n18125 43816\n15611 84300\n124 42567\n13146 87264\n14677 54420\n17635 47472\n49737 51784\n59405 91849\n44113 61971\n33227 41629\n65448 82655\n11132 70642\n30802 68026\n7318 33766\n6319 7499\n10427 68747\n43521 46516\n24535 25400\n29403 74902\n65820 86670\n3130 73056\n4164 50984\n44019 51737\n54297 82568\n3224 84382\n13276 58683\n43854 80410\n54364 76268\n23298 45343\n34873 62275\n28481 78810\n43252 88157\n9662 89489\n13320 15951\n16046 82028\n26967 85366\n30884 56226\n7108 60696\n8369 27522\n57633 61821\n66702 72223\n7683 91012\n10266 16243\n48490 72877\n42407 63692\n63392 66334\n37578 88967\n58961 85809\n38380 66483\n3319 84545\n61364 64583\n35 18240\n15877 59935\n54357 91027\n21442 64267\n4261 33244\n21703 45314\n56555 73448\n32945 66631\n25789 70633\n5116 62613\n7892 24390\n53653 88588\n25398 56877\n44866 58186\n43652 89916\n58010 80149\n79916 90459\n19762 33407\n48487 76958\n44592 85193\n18731 89842\n14589 54671\n60763 85196\n13817 53935\n3326 60685\n8783 14950\n47998 70228\n37661 69405\n10843 35938\n31383 47005\n14200 43589\n10154 81650\n41036 71235\n22450 67714\n34916 38653\n6036 15781\n28016 65911\n4589 72202\n6207 92880\n47116 59777\n18647 44635\n84165 87144\n19101 51413\n48465 61383\n71326 80043\n8892 22140\n5221 17529\n18064 81781\n38844 65267\n37488 78137\n6477 15652\n71189 80011\n47273 80235\n17331 31389\n31030 90603\n82817 86995\n33314 33424\n18536 90068\n8703 51469\n21280 68231\n39145 86529\n2982 43577\n23790 29470\n5948 77934\n19474 31191\n67818 87231\n9595 23345\n59077 76781\n59912 74833\n42203 44894\n8836 89161\n36341 38616\n12043 53508\n31473 79079\n33689 68404\n20080 20175\n11203 31738\n51140 92969\n15131 26285\n52155 87492\n13189 60695\n4376 25517\n60858 86593\n47428 57025\n17022 41753\n693 33002\n17809 86264\n54873 66191\n15656 29291\n16665 72160\n4159 92477\n42402 84308\n17551 81757\n6208 27552\n57956 82031\n5018 49162\n39056 81314\n32001 82970\n60674 85611\n12703 15149\n23163 88630\n548 78306\n10045 60514\n49442 65426\n1683 38157\n60210 83240\n26128 66419\n17126 46534\n51012 70378\n5706 54709\n50652 54790\n1934 13372\n80868 87919\n16629 83533\n44816 91878\n3985 34872\n76596 81330\n19422 40615\n21572 36769\n42437 65905\n42913 57896\n946 51219\n34138 36553\n12796 47359\n68062 87822\n55743 68614\n22470 35574\n1060 38744\n59966 70271\n4049 70084\n54342 59968\n3744 77016\n44880 45011\n5013 56609\n28539 84063\n24850 77943\n30595 79081\n5010 21402\n60593 67679\n38752 49062\n44285 85715\n12368 56706\n24902 33509\n4441 35145\n69950 82371\n44939 86133\n49606 74775\n8108 28657\n31823 72398\n6412 83074\n21738 77957\n13861 52893\n24677 85900\n47161 62991\n20215 30444\n26403 42100\n43553 89197\n27308 46263\n66600 66888\n58688 80350\n47894 77525\n24009 58781\n12720 78217\n62945 81986\n17410 35980\n1783 24869\n5368 69765\n66468 72570\n32151 82033\n11955 57906\n67674 73474\n73573 80638\n43224 46207\n29112 57981\n20348 29581\n16393 18175\n6827 70083\n63651 69736\n13908 55667\n31631 49532\n66730 92017\n8426 87997\n7960 80618\n2275 42876\n52893 78038\n16579 52543\n24542 92015\n48921 70183\n39538 56765\n76498 81402\n4008 46924\n78890 90389\n16956 20877\n40338 84113\n37978 44628\n75350 89137\n4967 39382\n45660 60153\n383 19730\n11701 38643\n29122 79515\n23968 53914\n12913 66581\n24591 27256\n32609 35548\n14449 40715\n9784 27575\n20664 67248\n12571 60645\n59384 79571\n8327 29094\n27711 83835\n28691 54673\n14433 60951\n4016 85479\n72081 86877\n65725 70497\n21217 42677\n13929 22934\n4425 21524\n13873 25909\n46820 88312\n17207 60289\n27530 41753\n24274 47210\n62987 73084\n5062 61148\n81064 84294\n44160 83225\n15587 74860\n27433 80215\n42090 54417\n151 80765\n11064 81112\n42133 54391\n72792 80036\n6666 76870\n32033 86682\n2534 86460\n57680 69299\n54884 62322\n9243 16351\n46333 66036\n5239 69480\n35107 54263\n26905 29589\n2997 73807\n65657 82957\n53469 59874\n31512 84093\n37141 57353\n41534 82758\n17796 81518\n8956 24029\n50726 73438\n33962 44733\n4476 68927\n56150 63425\n20782 60443\n11068 74674\n12626 71488\n78247 86491\n50137 93062\n14855 73095\n19326 79345\n11358 65831\n37890 68778\n54697 63946\n14474 79304\n7037 49207\n12460 67076\n60394 70509\n8431 39630\n19604 70076\n10227 82185\n14093 42761\n46330 72884\n32369 66669\n11920 83517\n43954 66506\n2159 15933\n5445 72156\n42780 72334\n16176 72642\n69959 85159\n24264 56385\n55785 83072\n14177 23752\n2779 2806\n16284 55396\n1803 31608\n36671 42418\n44716 60866\n3065 87607\n34555 53842\n15067 55907\n20033 63078\n17138 48285\n32462 36069\n24081 53518\n25949 85681\n75404 92028\n28719 32041\n7930 37992\n14486 52702\n44716 89041\n75163 83983\n12922 32649\n20561 41879\n74996 80406\n22220 75439\n18223 47906\n56618 67631\n24372 25334\n9716 62698\n42681 44197\n7198 52139\n59175 71159\n45773 82536\n18347 20350\n21851 71771\n34059 34679\n23622 50635\n13789 67262\n24795 37293\n1364 45081\n53965 55004\n21329 37756\n34201 64097\n39328 91388\n61556 78351\n56259 60160\n13905 71097\n11217 61364\n67756 68853\n65572 77118\n13465 26936\n72397 80773\n708 6393\n24267 50251\n16628 62852\n21811 86141\n57351 70644\n66863 86202\n24712 34272\n57892 85871\n17175 25619\n14677 91047\n27928 36211\n45060 56900\n32063 61991\n4856 71229\n36202 50611\n34550 90442\n19112 65856\n37930 91447\n14664 54330\n31947 44202\n16414 63691\n82734 84269\n9423 86285\n55272 68400\n26375 59767\n68216 85514\n26954 34533\n13556 46315\n30879 51949\n75802 89361\n42179 60513\n35228 77982\n48205 49998\n49368 49527\n33137 42321\n32616 88642\n44057 82699\n13212 77297\n25928 67714\n60029 62203\n62196 62435\n42820 62291\n85295 85590\n45128 85882\n19103 33505\n43502 73197\n4300 91508\n15576 32129\n11601 32228\n61917 72515\n53463 73479\n89126 90187\n1218 37221\n2580 22943\n7971 49347\n9541 29223\n16132 75168\n24729 65213\n10163 56463\n44317 87452\n511 69305\n10264 74251\n13801 64134\n4482 27567\n5701 53543\n24229 71362\n10013 69314\n81345 90031\n6035 72489\n6530 73822\n21001 51167\n21239 67712\n71735 72463\n46745 86336\n4990 92940\n4750 50019\n21754 58012\n26614 39658\n56422 83887\n36381 91916\n2029 3873\n5270 82319\n48039 90186\n50021 74806\n65780 65859\n20948 59949\n46031 52754\n60614 90545\n6993 46193\n19510 75827\n38286 55213\n36441 72981\n79344 89185\n17152 35009\n15930 22016\n79273 83699\n34855 43297\n45887 57641\n22429 55326\n1045 51128\n8690 34453\n20566 25041\n10492 50747\n48381 70898\n86514 89923\n80077 93029\n31258 90869\n22862 36799\n54056 85545\n36684 45947\n42817 49415\n26072 69465\n2974 65873\n18120 53346\n64025 75881\n47464 74229\n5063 22770\n18982 23073\n30837 54803\n47610 57985\n6793 66448\n8487 89251\n13134 62169\n25846 29685\n44386 60449\n38756 39787\n14799 46222\n14946 22983\n32176 72069\n31696 70900\n6240 27508\n71 47665\n12055 20072\n53932 57961\n79068 80689\n43887 83191\n35307 65656\n9194 30466\n69152 90467\n67536 72482\n72244 87351\n25000 71681\n35692 48634\n6547 35242\n58399 89803\n28925 48009\n6663 47937\n1167 18577\n32810 63095\n40074 63525\n30986 36868\n24315 33861\n31520 35679\n47901 71681\n30387 53489\n7955 84488\n48171 55772\n69305 70218\n8535 87104\n7670 49673\n33431 61642\n9579 70298\n14168 85099\n14843 89529\n26226 37931\n51338 54230\n8638 10896\n60152 88758\n33832 59467\n25785 50076\n65043 86103\n23094 57298\n33943 49569\n12620 41839\n45797 90355\n26414 88337\n13177 69234\n9261 16316\n74429 76203\n3660 60495\n4714 74484\n16596 77356\n46863 57517\n6852 27615\n52418 76460\n18858 81754\n7775 42505\n44550 88310\n74922 89155\n24833 91433\n19136 81279\n27244 51788\n32898 63339\n70534 87015\n20232 66960\n55645 89085\n32140 58182\n10314 63880\n35597 39993\n73198 77686\n16694 31649\n14417 86085\n79522 82358\n6809 12013\n16861 77096\n45328 80654\n68550 89968\n18553 38368\n38507 74195\n66716 90419\n25629 35144\n21070 62982\n17470 36954\n25590 58460\n18846 44859\n66430 82987\n66530 74931\n24964 27519\n51444 66140\n30328 48697\n15742 76232\n66500 66735\n62355 85069\n29895 69606\n52118 78086\n24115 68836\n27724 52803\n41132 48297\n72625 85948\n35087 49238\n2350 2591\n18946 90659\n17792 36979\n20085 71055\n35898 74499\n25436 33856\n6800 43518\n16577 56247\n22825 27933\n52104 74451\n79566 81259\n47132 79730\n2343 25569\n37888 44792\n9960 62196\n24800 67877\n61549 85124\n21745 86052\n20229 28145\n1988 81737\n5607 78616\n16611 31127\n78174 79238\n2495 54642\n2236 26769\n53794 55766\n39039 84378\n14552 70555\n50020 60585\n5981 29264\n61636 70743\n3762 76874\n66294 73084\n23262 31639\n91477 91889\n66426 84589\n6133 12512\n5015 24289\n24694 51305\n42058 52459\n5165 46336\n19852 51822\n45 68476\n17025 91329\n46930 50765\n85786 87374\n22146 58830\n56891 69758\n3133 67654\n68513 71595\n60049 76576\n5086 39935\n26914 59430\n24391 81889\n1455 3530\n23045 78836\n28466 76827\n2413 39107\n20717 66281\n38059 83321\n18370 46556\n61272 66728\n79192 85200\n40004 48758\n43870 59107\n57847 91339\n30196 53564\n30525 38216\n15371 90871\n36256 44272\n22425 48642\n15444 36774\n1712 63036\n4507 23497\n13132 56081\n9268 83482\n8164 80161\n38097 83217\n67023 89178\n20910 68351\n7299 19077\n63730 67087\n5066 91015\n67601 82095\n26900 39789\n6905 84970\n35677 66556\n15641 70839\n10054 14308\n42138 57024\n72498 77048\n15916 43406\n16733 63902\n24983 38557\n33105 82044\n11622 37747\n19085 45140\n45743 54976\n56380 78595\n50949 86171\n8917 42866\n24563 83000\n45850 45906\n4613 72399\n4341 10403\n6587 72936\n25371 53486\n29990 92506\n33360 92856\n48721 91692\n10201 51611\n17279 84323\n20356 27962\n12775 85396\n42432 44171\n35898 42028\n20524 45360\n14108 77844\n35195 44793\n25893 47542\n6007 72363\n48779 85120\n58405 92807\n48167 65273\n17257 28855\n27969 86100\n72590 73139\n73662 81633\n15515 81300\n60368 90616\n15011 87937\n29181 58570\n38444 65159\n43295 86157\n27099 52850\n37557 49450\n51674 70219\n2582 88744\n4826 18829\n31997 82423\n11421 23285\n32153 60869\n4896 62241\n24409 63778\n42285 49594\n24836 44253\n19161 68202\n5127 85429\n9510 30483\n18023 78391\n59936 82600\n22753 79935\n7723 67511\n21101 82594\n38090 47897\n51969 70655\n11398 68630\n4189 62969\n42277 66733\n62447 80406\n30744 70756\n51245 53271\n78621 88836\n20223 86534\n34066 50548\n49905 76543\n47354 66860\n2367 82437\n32653 86990\n30536 45314\n26821 32932\n27743 62638\n344 83729\n41627 80898\n24746 50514\n40401 77632\n19242 87221\n48587 91694\n78085 89068\n25089 46028\n4306 64407\n9906 54068\n20825 25165\n6586 20592\n35236 46067\n14140 88970\n9742 11254\n15351 18710\n28267 56236\n16291 82278\n46399 82276\n34461 48970\n34844 82076\n76061 80160\n55599 79538\n36386 79197\n14620 80910\n10534 71952\n63410 82276\n2901 63963\n54644 65530\n79262 81695\n29791 56467\n35861 80550\n44665 77673\n35982 44871\n43576 68524\n1043 24610\n15500 19922\n27213 72889\n3090 82877\n7826 60072\n43280 50801\n34231 75798\n18382 42269\n50593 69640\n16874 65822\n16703 92366\n3184 70085\n38115 56350\n31478 65611\n25569 53639\n22737 56373\n10665 56732\n41204 73305\n91628 92381\n6816 19156\n81886 82282\n43064 78465\n9597 46691\n514 62865\n8196 57387\n51112 82078\n27105 64207\n9821 55087\n64117 90656\n2641 40427\n11141 76436\n57810 71127\n89625 90509\n42965 74600\n20457 68781\n25998 73608\n35258 64148\n45863 47904\n18711 46346\n76762 80412\n16837 75521\n62820 68748\n56166 66249\n25222 88866\n31876 46904\n44879 82387\n862 63744\n4022 84731\n3445 79951\n13678 17779\n19990 53087\n9037 56417\n65245 83218\n66382 88281\n33086 70674\n40298 81741\n3797 32939\n41260 60149\n9175 66461\n19189 31777\n49466 88213\n716 19915\n49637 87350\n4301 8555\n63475 66557\n7363 21893\n12370 26108\n79332 83615\n9854 49092\n29545 74031\n42460 76755\n21602 26137\n6622 38766\n58416 60338\n20249 82235\n26291 83350\n20404 22328\n32152 56609\n20105 70102\n60538 63727\n22752 66367\n7213 91255\n22360 51445\n12827 30933\n55893 67725\n62566 81185\n12549 56747\n42884 60721\n10827 69140\n16491 63136\n12771 53790\n14328 33952\n13743 28927\n45974 62443\n36156 89127\n21113 69849\n15540 30563\n21318 72819\n51162 69534\n24624 86902\n27107 53796\n6878 89448\n33985 37022\n52285 75637\n7464 22183\n39011 67444\n40532 43167\n29934 44444\n32421 67538\n39043 62270\n53670 86708\n63137 72600\n8726 60062\n11144 20163\n26729 88786\n65902 88907\n7291 64290\n7854 87992\n24285 57020\n11383 83676\n47683 47959\n21828 24072\n43632 82211\n8441 66560\n29187 71380\n8976 79224\n40117 74264\n51275 80651\n28336 51883\n35442 53023\n43913 70300\n52948 91056\n42743 71956\n79229 80042\n75915 81592\n16555 39153\n14644 73750\n68577 75151\n44580 88178\n3803 53906\n43412 62829\n15121 85684\n13107 24039\n1744 62453\n14479 18111\n10827 80497\n19775 56620\n64471 92403\n9557 36557\n17027 50836\n6990 22928\n17249 19451\n50003 87784\n5186 33911\n21727 45507\n53412 74798\n72213 83230\n13934 35234\n9549 24757\n50322 81840\n5655 83905\n56407 81807\n44042 67001\n25743 90588\n2302 54492\n12875 74170\n4363 30462\n6863 18610\n23299 41551\n8051 78444\n11367 86787\n43968 90231\n23344 65807\n37285 68285\n10894 59194\n34476 36968\n33768 62826\n24730 26295\n8031 60351\n10959 23062\n27402 62335\n1085 68946\n5372 85875\n32864 82525\n15650 33842\n18422 60541\n3431 35211\n51157 53602\n33792 66619\n51058 55339\n18037 22269\n1882 86881\n26474 75075\n64428 74598\n10837 66407\n58056 79801\n17539 37672\n48727 76336\n37945 61441\n11034 36434\n7390 38159\n34966 49658\n28156 41578\n18331 85728\n27009 39848\n12671 25792\n4393 48918\n21305 58062\n21741 75882\n62059 83260\n16687 42503\n55352 65138\n4114 67583\n5622 47510\n12524 34742\n37291 51424\n57160 77090\n22971 50553\n14262 92699\n51987 84750\n44806 56505\n28574 35293\n31176 86237\n15736 75430\n17582 83724\n3518 92221\n35908 39096\n81611 83149\n19688 27495\n24104 71407\n68036 84636\n73318 80913\n22981 46799\n44661 92404\n49752 75119\n13223 25075\n37521 78922\n2881 52570\n43840 76846\n51783 83023\n53704 92845\n57326 85100\n9851 20699\n19308 21340\n11937 15201\n37570 53908\n37976 47097\n35003 35962\n16245 38087\n3512 87025\n31029 80783\n27701 33555\n576 82343\n6863 56304\n3084 62731\n35877 91557\n4875 52819\n27424 92380\n8990 24703\n6923 66837\n40799 77204\n23828 63401\n30525 41960\n45988 72525\n34731 55397\n46748 49841\n35310 37124\n37210 68093\n43740 44329\n89656 92690\n2337 3678\n14265 34745\n17774 84466\n20850 43662\n76926 88196\n17159 23861\n3482 66982\n63425 76204\n6304 92364\n48158 84815\n38950 68477\n31104 38133\n25696 70592\n11628 84142\n7462 88334\n13889 52124\n18079 18481\n13582 31461\n15081 31326\n20416 53551\n48606 66493\n31921 81071\n43977 69566\n25503 78248\n10768 15729\n35214 66496\n30108 45248\n82632 87013\n29122 72018\n62779 90925\n4220 75852\n59659 86624\n23778 73385\n83206 84670\n39617 43120\n23344 26416\n2944 76345\n35749 66386\n7307 78622\n28857 55925\n6713 38057\n59225 81757\n41577 42309\n38249 45056\n38434 45129\n67082 84498\n18036 51818\n52378 61670\n2514 69187\n62341 74922\n66073 69966\n18468 32940\n11446 85267\n59145 60157\n82981 92796\n22218 39655\n20793 70389\n53466 56770\n79943 82224\n44024 52840\n54852 89827\n34691 77479\n26516 43918\n54746 88899\n14328 54666\n66949 81708\n17246 23033\n22692 56378\n25985 29578\n37897 64345\n26007 63131\n54401 64371\n34899 69674\n84083 86377\n5177 58566\n4557 68230\n17768 67598\n13578 26950\n30280 59395\n44282 71913\n66548 72072\n9416 91579\n7937 29397\n48734 74273\n68943 77202\n58464 92380\n58603 83450\n24318 91854\n6066 28961\n16674 55853\n21868 22983\n35056 79761\n13576 24214\n16644 25182\n6254 85733\n38727 80737\n25085 67043\n8290 54897\n7317 14294\n43421 70582\n20724 87881\n19060 85095\n7582 85760\n53285 76169\n24011 68855\n42359 77979\n51769 91505\n51262 91390\n37275 75246\n71796 77940\n39684 51693\n31984 70374\n54289 90720\n35070 83774\n62618 63567\n2813 27969\n25621 76186\n12182 36575\n5133 7697\n61810 79679\n16938 53302\n7587 48027\n16366 53490\n4498 75646\n2868 57675\n47532 50847\n9923 34059\n15182 64330\n22465 65453\n31233 49515\n7788 37484\n18308 22384\n54724 83444\n10350 73599\n18084 82204\n29106 36319\n15742 44222\n13607 23557\n33607 62761\n30172 60551\n83818 86514\n46430 84106\n4050 13101\n53598 79845\n4693 63284\n9769 87254\n27931 63817\n86363 89022\n12094 88862\n50199 89772\n37516 55516\n35556 88134\n54461 77766\n3261 17824\n41873 54249\n34148 40567\n54187 70059\n31754 82071\n10062 24156\n13322 41914\n1276 52078\n33762 51885\n32249 39021\n79261 80693\n1952 75174\n53912 77109\n44820 44830\n5404 42304\n30153 55585\n59319 78075\n19283 91526\n56967 65849\n7975 33985\n29836 46900\n27491 33772\n34905 47458\n7833 50781\n43219 77348\n18785 48875\n2070 70870\n62336 90635\n56161 62118\n9378 36024\n1678 47145\n20690 72093\n14060 27100\n69729 88294\n62468 84076\n3990 34719\n57035 80173\n67475 81545\n20985 27532\n25721 81179\n56492 63525\n38145 54563\n20627 44594\n31626 71611\n13990 71178\n41301 77800\n16530 52978\n1052 43990\n11717 65563\n30698 66811\n807 53408\n34928 89556\n13119 36433\n18558 70427\n72298 72555\n23948 57371\n83231 89119\n11611 56405\n14074 90983\n42736 43267\n22304 51752\n15360 39363\n6673 71185\n41430 72335\n22829 37061\n14961 60174\n11908 35336\n51351 73288\n23470 36558\n15155 48597\n29863 40495\n728 92798\n56132 84582\n7471 51253\n15090 86033\n62714 66936\n4542 54599\n81309 82890\n30649 57032\n34929 55970\n64877 79521\n34421 40687\n14748 29182\n1514 2952\n29956 49049\n9496 39063\n14004 81120\n26293 72172\n32322 39699\n32918 92757\n4811 66011\n13784 65704\n2102 47812\n59886 68611\n40291 65584\n10076 77493\n66264 70605\n55878 91499\n2200 24155\n19597 57815\n10464 75492\n4792 52427\n81816 89820\n39888 64829\n2007 92894\n67027 69723\n66877 77277\n1236 32409\n18724 35707\n2118 78937\n30205 51949\n21215 47655\n3213 67549\n10030 58616\n27075 90507\n27114 74144\n4198 91607\n5169 42980\n20310 43463\n58016 90031\n75844 88902\n11980 19569\n49044 72275\n20472 24274\n88568 92452\n18573 53511\n68532 86061\n43761 77037\n490 56707\n23687 92491\n23235 59787\n37471 84870\n48328 84014\n15131 20908\n59961 81436\n9735 10831\n5535 52804\n17270 41402\n63235 83100\n3835 30747\n4604 45066\n16109 92248\n87651 91186\n10047 67891\n2826 2933\n41719 70633\n31040 38119\n29016 68937\n42906 64464\n39925 52431\n33152 43696\n4847 92488\n54728 75364\n21469 81717\n29447 70910\n78124 89391\n3201 66778\n5343 92040\n15136 50699\n11505 79253\n51829 67751\n34222 88335\n35987 51942\n16652 48603\n15153 30137\n82980 83364\n7715 54397\n15414 84273\n24201 27491\n42591 66361\n18334 52873\n50988 60204\n51272 53973\n13251 70801\n43035 59178\n51332 58576\n81965 84218\n23890 58526\n13819 58631\n32020 79107\n61221 85633\n35129 52729\n44887 92017\n8526 24737\n9047 21288\n4138 44903\n931 22796\n20464 50412\n27556 41528\n42099 54980\n47634 82389\n34705 68364\n17615 20563\n43656 51672\n69408 87705\n61694 84926\n10080 85444\n66218 70131\n13115 61686\n21070 60250\n16898 70967\n43420 87911\n17497 80540\n36344 83327\n16146 45596\n27812 65927\n8246 73925\n11280 37917\n18699 66124\n4797 72768\n2522 60744\n22246 39337\n78352 92168\n36972 37549\n33640 84030\n11831 57708\n70667 71398\n46662 63277\n63869 65917\n5414 47532\n74125 82454\n39654 57040\n45997 50148\n18973 54463\n3139 8079\n38768 56157\n28985 35876\n49691 61897\n21585 47200\n47192 92086\n76368 90928\n27298 92021\n37063 40453\n21564 71044\n1354 70966\n16225 81030\n22053 89936\n70633 86647\n22377 41333\n48857 63952\n9117 51290\n36538 44353\n35219 41098\n52888 74051\n54613 77559\n9576 47976\n36887 73794\n1189 14552\n25388 33805\n74039 91598\n46485 90787\n71896 87790\n30832 60920\n36981 64897\n36197 60188\n56688 60174\n2867 16965\n28605 59052\n33932 68870\n87183 92965\n21576 33217\n21267 67424\n24693 73558\n17648 78151\n42289 73693\n9457 83174\n39575 40364\n54200 68275\n7666 91882\n16468 50714\n59855 93094\n52381 53578\n17156 28126\n60666 81499\n11373 32731\n39623 68588\n25888 73621\n34694 50820\n51722 70703\n7830 65155\n78360 92580\n7867 10629\n18748 77825\n20229 20865\n58713 61369\n31317 60080\n16419 65784\n11764 35559\n19967 30153\n17484 25668\n80602 84981\n26273 48813\n39863 85648\n20481 35115\n40324 78364\n34228 38150\n52755 91508\n60390 87474\n22585 66203\n39520 71905\n13460 38049\n7589 51442\n42087 59256\n62911 73658\n38270 88324\n9001 16975\n20663 30268\n35586 68996\n1667 38841\n45388 45699\n45187 76775\n2236 64608\n24010 59545\n50412 82123\n19842 47413\n2667 82778\n58097 67925\n56638 73594\n62183 80445\n18196 21735\n56263 85318\n90189 90790\n22142 66513\n84081 91913\n27376 72614\n24522 40323\n22068 81161\n18579 26077\n31136 85947\n17548 52961\n54933 55678\n13111 27256\n65372 87773\n10068 12104\n51510 59504\n9600 80012\n36813 90923\n21739 63493\n54103 88707\n53872 72394\n45660 56145\n6864 60406\n42042 68955\n32574 88489\n11463 51971\n26150 66287\n20770 61776\n41083 82476\n5052 45007\n16499 72895\n26073 59338\n72718 75419\n24024 70244\n10680 62547\n39111 50606\n5850 33883\n27642 58156\n71847 87453\n7719 73088\n28295 61483\n33706 90030\n1933 71213\n66471 81350\n36838 50800\n41552 69994\n53398 92845\n22859 78897\n25042 89895\n15712 15757\n9198 10808\n29897 42218\n8821 16729\n7483 60162\n60535 79736\n3354 84605\n34067 89556\n19724 70005\n17465 65287\n5955 31185\n8256 18100\n72831 74080\n23556 65083\n54057 79723\n34301 65216\n21648 35341\n13152 66006\n6759 92384\n3513 84852\n43669 67118\n5299 78643\n3310 20238\n3872 84925\n27957 75414\n51769 59625\n14434 61902\n54814 74917\n21365 57871\n20575 37337\n83805 85254\n76675 82860\n51145 89521\n61895 65149\n78918 79424\n6604 14558\n15165 34596\n64184 74599\n54538 79606\n19759 55253\n8536 74061\n20263 87949\n30365 79937\n47703 66163\n1613 82838\n20723 46307\n52089 60716\n84687 86294\n33928 43768\n8431 73435\n21262 54622\n28375 54264\n32062 34570\n51023 66055\n65029 73015\n21724 87885\n47386 86805\n12661 24978\n24967 45878\n8138 27070\n60880 77869\n30903 36375\n43228 59847\n10489 85728\n58895 67607\n19843 70769\n72463 91063\n5518 67775\n65555 91612\n53171 92700\n36998 66203\n15551 50736\n19816 89137\n3764 67496\n25433 84038\n47941 87672\n45659 62360\n15424 55825\n6956 38449\n7865 14819\n51175 57053\n23120 76533\n63544 90091\n29102 91410\n38521 85964\n30291 48858\n2568 13398\n285 48061\n36820 39679\n71823 88892\n2633 59994\n12004 69095\n6925 11878\n8268 24089\n24822 76069\n42588 60701\n29908 63286\n19337 88563\n33909 71431\n31011 41680\n21899 67951\n66895 90111\n1205 58384\n50010 61256\n955 81645\n42774 57623\n20273 62422\n3250 76151\n1326 35644\n9760 22706\n13289 47692\n71332 89281\n52878 57289\n6762 29705\n54971 69821\n11464 67756\n39983 40450\n70264 75809\n21712 66400\n11224 53752\n47534 91291\n66748 75752\n40106 74137\n23382 55083\n54982 74390\n21253 83988\n16531 90853\n42499 55710\n8300 46332\n42409 45693\n5583 83085\n39947 42377\n42967 56483\n3788 34631\n9652 87770\n60970 82899\n8543 29121\n42614 87041\n61102 67450\n30968 42620\n42742 86626\n59740 78548\n25641 86261\n60579 70472\n4068 49453\n41550 66427\n24099 42492\n15251 61826\n38546 70119\n34567 84200\n80078 84137\n23396 62970\n47097 60918\n2011 73965\n63760 75717\n31182 58322\n14524 87257\n55653 80307\n30539 65067\n36707 39948\n21613 23080\n18516 91767\n32349 77901\n1659 6806\n56915 91474\n12354 76036\n34315 59861\n12616 44298\n30925 42863\n34051 87944\n15709 26918\n13010 49090\n26882 60909\n31741 63292\n2974 72149\n35335 54747\n31079 91297\n59093 68597\n21200 21714\n30559 74384\n19219 36274\n61610 70999\n4907 78065\n63311 92661\n24430 54056\n21365 40899\n5943 79899\n7207 55684\n54867 79626\n80283 93105\n23382 69495\n22858 36383\n29978 48098\n42244 60824\n62882 84670\n69900 80902\n18956 51271\n11917 66418\n6735 52099\n10626 42986\n23151 91248\n46577 62152\n60432 85521\n12664 59348\n21050 89846\n62669 84929\n59802 81948\n64902 81811\n33800 90017\n18215 26160\n9637 38702\n65313 91870\n55611 81862\n8452 18927\n50787 56373\n79952 83331\n23140 49262\n4164 32626\n42149 88757\n26772 90552\n30055 63528\n39163 47066\n53556 89403\n28834 44115\n23810 65692\n25189 66433\n43229 81706\n8315 17621\n13908 52785\n1452 69569\n60287 76464\n78151 85136\n47176 55259\n4809 12276\n42050 58395\n17648 70421\n48579 63104\n21150 62071\n15594 71530\n33660 58105\n4349 24343\n65281 66210\n19015 40651\n3377 23513\n29020 65728\n53641 87589\n9975 22042\n18189 63809\n18989 51411\n19006 28769\n22692 48606\n16492 50323\n46013 80086\n2971 54899\n2848 81456\n3097 32138\n57951 59079\n9061 75021\n49301 60841\n64330 70028\n43158 62664\n3742 38552\n4440 60975\n12367 91099\n27018 54952\n58965 80723\n13158 55809\n34908 56028\n63190 92275\n15670 21588\n29031 66315\n35418 78420\n39383 92426\n42016 92289\n19048 29019\n45072 85193\n48869 50995\n76428 92839\n16808 66540\n23187 91277\n75486 82964\n43171 46290\n1015 78302\n46398 46447\n39919 47660\n8973 76255\n22282 51583\n17746 57654\n39759 70483\n5079 8154\n62691 71314\n27859 47241\n31065 31367\n43613 92619\n31889 55370\n74583 93152\n50419 52457\n2568 20037\n12797 86955\n4702 93146\n8566 24078\n28493 54334\n4184 17879\n33285 57111\n21913 84997\n18503 50244\n18679 83800\n27636 35574\n17127 19073\n8753 64995\n66756 76884\n25454 35476\n84471 87106\n12781 30171\n46216 61656\n15466 84889\n84898 90936\n71275 84381\n20196 87945\n5952 16678\n56081 60292\n70574 89762\n20223 43871\n5601 50809\n17759 36415\n19919 28374\n80531 90551\n5974 89113\n12630 38378\n45590 48014\n18122 79621\n11522 33963\n11431 75472\n7687 56572\n12951 17399\n12635 26105\n42929 62861\n14291 20118\n72965 89534\n8704 26070\n83833 89513\n58140 88598\n13324 72370\n23082 89780\n44512 49603\n13404 37628\n30569 37223\n41349 88151\n42091 48858\n35908 75407\n78424 86035\n21921 69111\n63044 71556\n60378 73551\n77227 88258\n19855 29853\n33702 35008\n51096 88635\n30546 35274\n35016 57809\n59818 83702\n1818 75633\n63399 79753\n54063 76042\n63232 68029\n41531 68838\n56385 61842\n24211 33168\n43942 49771\n28678 61676\n14523 26767\n76174 77598\n9857 12578\n6101 38426\n17411 77804\n12955 75243\n50976 88273\n18817 77213\n22986 46554\n28268 44902\n57770 72800\n64879 75662\n29025 55297\n38249 78509\n85046 86381\n74217 77182\n46889 92775\n51071 55348\n53650 83134\n10533 79925\n18284 82354\n41015 48378\n10675 18327\n40078 49839\n21280 22811\n71343 72208\n28060 85602\n40201 90760\n56321 72306\n10836 18860\n37799 51635\n21912 23696\n23148 32766\n50590 90643\n18902 37407\n55853 61492\n22449 55819\n28037 78532\n869 16271\n2179 19341\n19877 46968\n47758 83756\n39136 44112\n26794 61379\n30148 82491\n60591 66185\n13706 30648\n26944 44468\n53608 54825\n12644 61100\n35284 76137\n64318 68268\n26695 36813\n23142 36275\n5448 52406\n79426 82751\n64472 76080\n12968 58845\n5976 47391\n31956 86401\n20710 40461\n53231 64008\n23307 85223\n5704 21093\n26397 67798\n13761 14207\n71560 73347\n35083 89325\n45235 47753\n22420 54124\n50716 90363\n44016 83798\n36390 42625\n12281 78467\n74208 80278\n28447 90756\n16074 31161\n19791 80252\n61902 67129\n47399 78823\n57253 80780\n47815 68966\n30974 80632\n7395 28237\n34912 62503\n56648 78177\n8427 75392\n10788 21094\n35625 64745\n13269 91347\n34157 62109\n11749 39518\n21341 91901\n3962 26834\n17635 24059\n28268 79320\n34782 91209\n71 24755\n12975 37176\n18822 76960\n67075 75325\n45420 88272\n27056 60110\n62458 88132\n8686 74278\n32893 89533\n7500 38974\n38973 40132\n36314 37681\n47569 79137\n27308 34155\n45491 62504\n47138 63871\n63087 77384\n30953 36822\n1862 48463\n13599 20204\n72754 76185\n28153 67352\n41834 46691\n24614 53372\n45219 62233\n25031 36028\n42421 51206\n1537 34165\n11902 69973\n6545 37120\n44565 55550\n11524 86080\n32281 66051\n40230 64933\n6505 20196\n41079 42494\n31219 39570\n39861 69318\n3774 48973\n46175 78078\n37620 73779\n34419 81891\n17004 31638\n6343 29877\n11784 87811\n42120 80043\n45506 72010\n3827 11928\n18211 37071\n11362 50021\n17259 30490\n19439 34517\n50627 67421\n5162 25592\n62880 76516\n55218 61875\n18648 31367\n68350 74069\n23325 48805\n762 64308\n15130 55773\n2268 82911\n47393 84480\n24568 30208\n1372 62409\n90138 90824\n51341 68000\n47487 68567\n11599 45830\n20739 49305\n29217 69862\n32855 70361\n59561 77792\n19626 40850\n63902 88029\n39981 87184\n26261 83265\n38794 63407\n1560 88351\n83712 86385\n55987 72029\n81778 81946\n242 30227\n37237 57689\n7554 53747\n49006 65713\n56549 71361\n3233 30295\n21985 38571\n74226 90127\n70891 82852\n5883 83253\n20401 61648\n41197 91303\n6180 37459\n28436 63726\n37560 44812\n57794 85403\n74480 86994\n47156 79939\n47176 83264\n50426 56392\n48456 69113\n74904 83889\n3702 4302\n50577 79571\n62483 68582\n50412 88195\n45809 85480\n43339 46823\n34897 40645\n30736 48728\n40494 45321\n71994 80951\n15090 15826\n26534 62580\n16274 62041\n12925 15708\n54063 75003\n46596 69847\n40424 45383\n3816 84593\n1289 60418\n53940 68981\n8455 61405\n37282 72959\n28503 68527\n12764 78500\n11966 16703\n16740 32296\n13170 82207\n23243 28271\n9421 47836\n32547 63775\n11805 49057\n57366 80262\n16681 64437\n7875 16515\n34939 75128\n23063 44900\n15940 25352\n52551 81606\n56871 62518\n43501 79716\n10841 73659\n19085 68206\n7054 74686\n21775 88830\n18343 61416\n20661 41584\n37115 57721\n12353 51651\n66951 68206\n74155 84312\n40979 80072\n63762 72883\n54978 65875\n21494 36257\n53976 77471\n61287 70129\n56558 80151\n72090 85491\n32770 48613\n25482 54273\n31020 71415\n19281 83400\n27518 92112\n12000 83858\n60754 75521\n30925 64571\n71588 78569\n69543 91941\n45577 61839\n1583 6850\n29937 36970\n18233 52647\n21966 49202\n5140 25933\n3916 4413\n11345 11625\n40590 43580\n40843 47688\n24118 48795\n61663 77195\n38678 47711\n31042 79104\n15098 32507\n18294 26358\n19273 61828\n8079 72232\n23733 30423\n1282 1752\n15199 78426\n23033 80611\n26106 26707\n15262 78810\n16315 85834\n70017 83774\n9726 66617\n4116 44114\n46505 68290\n56008 87345\n17444 35516\n74850 87433\n12340 44934\n5908 86951\n70225 71359\n40595 43803\n47903 55617\n17800 20801\n8229 23723\n3140 14924\n35045 44987\n43499 43749\n4444 15883\n30436 44017\n45075 85497\n24025 25385\n47719 87332\n34243 78556\n48068 81443\n9962 33324\n27985 71973\n13233 62661\n3177 70052\n32229 56831\n15044 31947\n5122 6968\n26396 37341\n27365 89637\n35216 39742\n69125 74633\n20166 41139\n5398 39019\n12129 91592\n890 53278\n16315 90177\n38767 86127\n10402 43959\n7264 54955\n25075 32386\n38115 76235\n46578 84025\n74194 76128\n1457 63502\n34100 63602\n31415 92136\n26084 90042\n15497 68490\n40347 52939\n59654 62311\n41895 80989\n11861 50771\n56886 71348\n18966 36506\n15478 32860\n76386 85085\n6309 78605\n27770 72523\n90889 91973\n26020 30207\n4879 47880\n15580 57601\n46295 58739\n31796 56640\n20878 64088\n44750 69745\n20972 49765\n46090 81496\n37269 62902\n42246 91180\n18287 57059\n12874 49582\n26665 60736\n48678 48762\n7367 50888\n17553 34937\n66520 71723\n39251 56257\n17716 26792\n53790 58441\n81056 85201\n16109 81288\n73958 90755\n2115 82891\n27769 48262\n23789 91630\n28526 58951\n50090 84617\n39604 51786\n41642 54190\n3655 73783\n11548 79870\n12609 18236\n42066 82623\n35266 42949\n5318 16321\n7159 56072\n21019 46047\n28180 70973\n56902 77763\n34485 77986\n4042 87584\n19441 93132\n10262 66497\n29006 67107\n51187 70768\n18138 20184\n35183 49342\n17009 27950\n22420 39568\n57190 90043\n53828 59082\n23673 39324\n3412 79750\n60521 69127\n32790 82454\n90 55324\n46986 80242\n55383 63333\n58939 92088\n24705 45599\n7791 44832\n38431 47543\n15854 47464\n1630 8074\n28121 59617\n51378 77984\n44539 69242\n11624 84749\n70704 79658\n27919 92847\n40557 44367\n41146 51842\n58292 70654\n195 80312\n16520 25098\n9721 92472\n20720 92655\n6388 25389\n538 56901\n68372 78912\n17789 24216\n27358 77636\n28682 67004\n31623 75346\n31639 42727\n8553 38131\n23382 76481\n58479 63851\n73574 80973\n44511 88992\n31015 58107\n11286 92338\n32122 61459\n15432 68945\n55821 72822\n25861 67574\n67412 74976\n52714 91362\n1409 32439\n20040 26709\n29629 56108\n42260 85262\n2602 88180\n17920 29113\n17564 47898\n40445 66145\n41166 73460\n58463 83226\n58613 92906\n48930 51274\n88973 92156\n5194 23737\n66710 91645\n14767 83882\n53597 66806\n43750 65818\n3833 20273\n17120 27048\n5384 31439\n73876 81075\n39462 51123\n60638 62620\n28611 43415\n30768 46821\n11532 45124\n7507 74948\n5334 39015\n78844 79850\n9754 79211\n42145 70108\n81787 86833\n15188 88548\n67855 85556\n19517 92316\n54943 66380\n11933 68955\n40679 90540\n180 38313\n64704 75567\n46002 76343\n4534 56949\n82513 87616\n21565 55533\n64030 77719\n11993 13052\n55787 58689\n31696 36120\n6224 18225\n33163 73973\n29107 87471\n29637 57693\n72274 76234\n72770 89802\n14217 31399\n47364 51057\n11000 90134\n8766 26691\n65651 79144\n3217 15052\n32374 70646\n7282 52400\n39069 41859\n9049 26058\n25444 61131\n42545 83721\n16555 42441\n46073 87689\n51571 59543\n51586 64330\n59398 83792\n59012 88946\n24912 64978\n44036 64901\n36485 48265\n7888 55650\n1999 37353\n13822 85351\n60404 79584\n20300 74634\n49801 89906\n68669 91190\n15297 38575\n24675 64301\n52509 81125\n72462 88901\n18313 77069\n54072 60655\n26182 47105\n27017 75975\n35006 71458\n48503 58921\n9332 60054\n73337 91512\n5148 51204\n2000 82193\n28014 61512\n30369 68434\n1668 90249\n8591 77674\n35247 75418\n48578 92686\n16199 46603\n3184 81837\n32120 87283\n70889 82128\n2249 77998\n29562 42674\n25223 66094\n1128 64269\n10737 69683\n40486 80299\n19581 45071\n4618 38492\n11893 56182\n32005 51974\n61377 64501\n48859 90696\n59332 90757\n25140 31516\n983 47541\n17516 56891\n23420 57581\n706 48859\n53745 79659\n59298 76637\n51090 87261\n65403 88283\n34888 52932\n6221 31566\n8985 52758\n55545 60941\n40641 58413\n1879 71230\n21875 52093\n71585 88292\n4388 38503\n8097 52643\n15471 18299\n17895 85151\n38747 39544\n34179 73711\n28090 43603\n62138 90939\n26102 82213\n5021 13018\n23241 62702\n41333 77937\n18087 26072\n20207 24958\n9769 52072\n23003 60074\n5503 9375\n39109 79743\n51826 69174\n68359 82311\n14501 25381\n10182 46947\n34384 83043\n19917 26828\n19377 86501\n2260 65120\n16783 56748\n31027 79355\n36569 60486\n16356 55763\n36093 48138\n12466 27327\n65659 90439\n34692 60561\n54408 71774\n11046 54890\n2342 36355\n54444 87867\n23677 60235\n12046 48836\n12894 65419\n35673 45046\n1492 36474\n4331 34126\n61539 63335\n90703 92210\n21730 86744\n16713 62529\n58116 86084\n35580 57285\n63716 70359\n50592 75764\n6548 7288\n40236 73344\n68684 83379\n55950 61434\n5762 85230\n28574 73773\n52095 72450\n36197 62485\n7217 42629\n13579 69173\n38635 59562\n11378 15379\n5046 34384\n36214 78787\n17816 89410\n21688 39396\n1592 80696\n75126 80316\n41315 80465\n16945 69065\n5938 18653\n76468 79520\n45982 85085\n10267 69479\n3500 74655\n61683 68829\n48262 92671\n13839 49390\n63448 76804\n15603 64997\n36507 70046\n1281 71256\n43258 87033\n46610 59401\n11842 63199\n14946 57318\n72498 78108\n13033 39034\n32039 50956\n32729 46950\n6730 78053\n41727 73680\n62353 90923\n64951 76207\n27074 29471\n66 84670\n18498 84932\n44919 63885\n32525 63614\n51041 68493\n5764 78429\n5188 6915\n54083 83289\n18870 63572\n32585 57297\n14654 72767\n9770 41354\n86834 87014\n24483 64702\n11643 27836\n74772 82003\n30338 40398\n28945 86070\n49236 76929\n7349 14067\n9178 41885\n32405 51945\n61182 90111\n70319 73978\n45787 82953\n15459 74479\n5461 85441\n20794 76653\n8463 35297\n14655 30478\n1180 2387\n32617 51335\n75990 80229\n4976 47472\n53071 77686\n62644 82264\n56668 75077\n23059 46720\n20530 62164\n16270 69783\n63682 72370\n27125 93111\n17806 35882\n29890 64933\n10672 51142\n15489 70243\n18798 76475\n41336 41635\n39968 46690\n66702 82124\n55025 85527\n45663 91144\n9654 61652\n24169 73345\n36104 37374\n45347 61056\n28810 83624\n44550 64703\n12589 68725\n9287 27192\n64295 70434\n75740 90297\n43518 44301\n19762 80594\n36172 89161\n26581 46159\n32542 80302\n4827 73682\n2253 88239\n37612 83614\n24525 74847\n17155 60727\n19828 39258\n745 12432\n11737 77677\n6117 72991\n62935 68888\n6052 8682\n32908 92459\n9965 59624\n26775 69649\n56588 60383\n51145 55657\n23646 56569\n8450 60345\n9880 44715\n75965 76181\n4142 49503\n13474 45388\n14453 30480\n36077 52997\n43451 84821\n42420 84809\n41332 85102\n70180 79796\n15545 83811\n71553 86887\n53317 62866\n13450 84156\n31528 31737\n37914 69638\n14507 45467\n23277 83569\n56774 86837\n74736 85018\n36521 51744\n76204 91694\n56611 88920\n38058 46873\n25612 72074\n52196 84803\n11351 70566\n75964 87733\n32935 37233\n27377 35212\n5860 52272\n65590 67074\n8912 27526\n13708 75678\n5675 59806\n22204 64125\n13598 15149\n4374 84501\n41857 68069\n1118 44388\n47326 48710\n29195 72055\n56958 68985\n36469 48620\n21721 35072\n53712 76566\n31653 43072\n66521 81448\n7414 36429\n33495 76599\n5571 15820\n43304 51644\n61640 85010\n65857 75323\n62435 87645\n41145 73708\n33696 48850\n89769 89840\n41372 85218\n27896 75746\n46986 61970\n1828 87323\n30922 82642\n40038 83411\n25891 91287\n54744 86125\n35131 53063\n9889 62067\n19726 85152\n25570 41207\n317 2447\n42706 69433\n25711 92806\n6701 15733\n15332 79419\n21671 45234\n62436 82247\n20068 63917\n23015 62263\n35027 53923\n74391 88182\n60926 66658\n23907 86963\n39593 76063\n38032 93167\n60467 69710\n26581 75837\n49011 75777\n59275 71922\n12159 17937\n24202 77154\n1878 83717\n13585 32832\n36894 46865\n34049 41443\n32927 81737\n19615 42074\n40080 92599\n6800 14203\n58116 78094\n38424 54192\n68865 70832\n47089 53238\n20874 28893\n14505 31006\n37669 65753\n39809 56955\n49008 87354\n19731 79703\n80700 88752\n6505 28781\n7908 78450\n39547 47337\n1978 37000\n15834 42854\n80460 88791\n64119 92276\n26265 79799\n13271 31981\n13936 16134\n33392 75789\n2822 52588\n201 32448\n3771 29913\n25272 42196\n49870 54415\n8660 17965\n2927 65214\n3177 76231\n24250 52763\n44854 78895\n67528 92457\n8589 81082\n22998 91032\n49937 82634\n13297 17834\n27283 57152\n37995 90409\n60855 72513\n38199 57373\n6644 75271\n47285 60269\n1709 90456\n13558 42411\n41944 62145\n2713 30653\n9690 35419\n41493 77364\n8907 12597\n9512 30430\n1917 78106\n39932 62019\n15194 89556\n80024 83534\n21829 73482\n25559 44679\n50013 60138\n207 3109\n34460 74413\n65874 67483\n25450 57109\n5255 40131\n33753 46037\n28696 44430\n38867 48918\n4628 66189\n34261 59327\n7031 37378\n11963 42989\n7874 17363\n37757 92909\n10268 46951\n64703 76629\n51493 82667\n20436 60700\n45354 75758\n6021 37930\n60783 78880\n30179 90559\n56644 86067\n30498 78259\n21549 43057\n21848 64127\n29295 76531\n31497 43629\n60352 92084\n42456 70435\n62259 87200\n46064 75194\n5936 37715\n48170 69416\n31702 90062\n16419 58068\n33773 91080\n35926 85023\n54613 58148\n4735 86730\n10274 90206\n17235 44450\n21640 87085\n40853 68431\n56890 75905\n58906 87201\n54702 63514\n54346 88394\n53710 74895\n58184 84324\n27028 29545\n39040 81291\n53590 76574\n21611 25003\n19764 47655\n2002 78666\n25377 86117\n83819 86272\n74159 93116\n59032 80817\n39517 50024\n39427 90395\n9630 74695\n36446 61856\n32217 79136\n37111 85833\n13857 54746\n42296 88342\n26697 26980\n63735 70355\n41394 50992\n33673 61556\n47793 73481\n47382 84130\n29872 62720\n23186 69658\n12738 69158\n5698 18864\n64180 67512\n13415 28466\n53951 68783\n28045 30929\n57861 75692\n63820 75499\n576 87858\n4187 15254\n57354 71214\n13940 76872\n23624 33532\n88813 90962\n35005 42911\n54993 68156\n67259 84686\n12892 82276\n10999 40106\n38429 38622\n12048 54182\n6987 29381\n9242 86051\n9065 48073\n18904 68758\n16846 24089\n2402 62156\n22272 87889\n41744 54914\n49878 61148\n48774 82217\n21576 92160\n12744 32492\n22594 26716\n51954 85196\n32670 39184\n11384 72015\n19905 71474\n20525 76004\n55260 81773\n2711 59738\n18733 58734\n4517 64936\n16813 54944\n905 40815\n84545 92854\n36320 64418\n11641 26037\n38906 53771\n18253 32574\n28495 83899\n974 44419\n14736 19788\n20892 41437\n17257 38653\n5969 46543\n29703 88655\n8652 80412\n22865 44951\n63614 85263\n22533 71156\n4211 66087\n14527 62894\n16791 84543\n13597 16151\n27456 55660\n68737 69112\n60541 79870\n27596 84970\n81119 82729\n43763 51849\n37854 59652\n39368 65915\n2911 35955\n31507 55279\n45276 58667\n25990 66399\n650 20423\n31806 65702\n75309 79188\n11531 39717\n50490 79202\n56140 59467\n69036 73426\n46366 50085\n47761 49885\n34828 85520\n67280 72673\n3636 81281\n34040 68427\n4301 53269\n47726 67360\n30279 31037\n30612 71074\n22108 46977\n67912 74027\n30307 76722\n68763 79741\n18215 18709\n67872 79079\n51990 87152\n8849 18781\n5781 51981\n14512 88379\n25448 61510\n34310 46262\n6200 40070\n51304 91159\n23805 46919\n2283 21750\n50930 79099\n14678 76948\n34408 71734\n49001 59534\n15204 49968\n36228 82135\n2955 34665\n9372 83547\n17057 68009\n26478 50274\n79062 83297\n44273 56060\n20472 38143\n17662 27872\n3753 24562\n7772 61384\n57621 59829\n13283 49002\n10657 15391\n47477 65217\n69326 78967\n18668 58176\n12522 45197\n2494 54552\n23988 61452\n54903 83076\n3830 15341\n40367 78266\n4991 19978\n11377 57798\n28637 69199\n21948 38471\n44307 53034\n61720 82757\n59900 77563\n22023 43437\n5457 49638\n268 24094\n7128 21468\n70201 72857\n4024 88746\n13527 78712\n45690 76788\n43072 52749\n29896 55031\n12339 71747\n16134 37028\n21865 78327\n18143 86801\n80614 85855\n46431 53023\n19914 45791\n43464 91089\n24810 68064\n72619 73633\n26100 72626\n38891 80044\n28390 47539\n3036 4249\n39072 63023\n32793 49157\n13290 88257\n43434 64467\n56514 92637\n1290 82040\n25180 25973\n8894 12004\n285 89486\n27315 74359\n23804 71032\n51709 58332\n34346 49357\n33866 75896\n32908 69679\n3911 36281\n8337 15677\n30949 83459\n18662 63687\n1859 86706\n65620 86079\n63816 71477\n12791 35561\n45084 55536\n32664 54064\n5508 32636\n72192 75692\n46007 53942\n45594 61899\n65789 84461\n4263 17231\n10174 53354\n51530 65042\n19030 63907\n31864 45631\n7718 50821\n27836 28016\n30426 75329\n23988 33768\n11422 48574\n49047 91283\n33653 87626\n12702 23903\n73759 85891\n10947 71351\n66026 77496\n49407 49661\n12263 62302\n49393 73914\n46176 81830\n4826 61624\n38519 64013\n28865 74058\n6953 53295\n35903 84350\n32833 72886\n563 56073\n65410 77537\n28646 31281\n61991 81649\n1176 54925\n7790 25202\n4781 65037\n4598 43220\n30490 63237\n58235 69795\n43717 80092\n2466 93105\n32940 77319\n52052 69761\n47449 55388\n16205 20270\n14489 15870\n38108 66633\n350 63362\n63710 81535\n13338 26847\n19136 27450\n77270 91998\n3469 20835\n50612 75153\n4131 64523\n15857 31446\n26986 68995\n52272 67313\n36752 84222\n19866 40411\n73585 79620\n4561 12851\n56437 77545\n39625 64156\n14625 78687\n43972 81277\n34759 75595\n29603 37320\n65465 88069\n28429 79970\n20493 21818\n47965 71485\n12653 26917\n14923 16143\n82858 82920\n39977 42759\n32363 83329\n24919 82495\n26783 87680\n35181 63124\n14559 45988\n22884 78043\n1167 59236\n8222 25521\n24456 69852\n26185 61508\n55669 62393\n66829 68561\n284 81186\n7136 29351\n17357 65644\n76283 90897\n12915 19488\n55295 68111\n18268 86187\n27839 60027\n39564 40763\n10601 60980\n18322 85715\n40148 71415\n81399 88337\n31635 71521\n40102 48448\n50385 77757\n40772 51879\n40345 58121\n17937 80578\n41514 73755\n10233 47571\n14822 75380\n5296 43198\n1241 52543\n38480 51359\n18525 57943\n26364 39387\n16634 65020\n61199 87213\n38634 79590\n2996 13398\n62951 74524\n28496 30355\n34945 85315\n44906 47420\n62090 72727\n14351 89644\n66768 79639\n40328 76977\n77591 89390\n79104 88517\n22832 58200\n72988 87257\n11710 93053\n33389 47214\n50847 70233\n81711 83856\n22857 78126\n57069 77343\n19104 29295\n19361 92696\n40276 57392\n54780 89627\n40402 87124\n18442 87485\n33177 50089\n45607 67938\n10435 54626\n50953 92900\n69721 70396\n1166 59462\n32579 56480\n18865 47932\n27171 80222\n21605 67391\n15171 18338\n47430 74255\n8852 11558\n50921 52340\n55734 77079\n42953 70633\n15124 72361\n20334 48666\n24426 34433\n51885 66500\n39692 87280\n47233 81859\n31957 36994\n23897 50261\n67286 82990\n21484 24709\n38524 68851\n11581 48707\n24182 25802\n37486 91700\n36804 81564\n26741 64622\n23880 80766\n8364 85854\n35114 41887\n37013 71098\n43221 66043\n15607 64116\n5115 40170\n56208 66791\n8540 64574\n38999 77029\n47216 59519\n72063 85768\n65568 80052\n16761 85502\n64594 80404\n34170 66315\n55689 71256\n7968 35382\n13754 49005\n5628 70631\n7287 39907\n13289 45222\n27720 76133\n42148 76226\n39947 74324\n68076 78910\n37028 65482\n26702 73924\n45041 52233\n51928 74740\n82564 84853\n33641 59107\n49929 66593\n27576 53345\n29057 56405\n23387 59629\n40850 55757\n19783 89514\n80836 89080\n7524 74176\n32161 36450\n5511 43869\n6114 40500\n34539 55705\n42153 51557\n44555 54807\n14133 68082\n14031 18531\n38821 93101\n18491 90266\n38820 46538\n15631 51949\n55796 57921\n6434 28567\n45119 54281\n49824 85990\n59544 81103\n19979 74167\n16921 32438\n6034 55826\n68672 89991\n12535 31083\n28910 52131\n35483 35662\n30769 50735\n63590 67528\n20619 29205\n2714 71578\n13154 30036\n5480 24189\n29499 45041\n2230 74061\n8712 91244\n58533 64758\n20340 90421\n25794 50351\n59257 89270\n24088 64331\n19720 41340\n27476 75866\n702 67888\n14773 35989\n13164 46632\n8500 73187\n8891 18500\n59988 70704\n8172 74242\n3953 12618\n60373 76451\n47682 79316\n48773 71681\n17844 24116\n19444 81043\n1698 65508\n69875 76558\n5582 43052\n52807 89224\n65675 71193\n26135 29922\n32172 65343\n8890 22052\n62940 77472\n26363 52164\n21325 70121\n68401 72349\n43242 69277\n1930 35520\n13713 34984\n58404 60504\n17956 27746\n6173 20440\n18266 58985\n27692 56058\n28880 34706\n16436 25902\n60435 60476\n27771 34332\n69087 71517\n8213 36265\n40965 74914\n8134 60671\n9014 56160\n32789 74415\n30641 37686\n47476 88725\n22989 35994\n34254 90972\n53235 74011\n49310 77741\n13341 29443\n42632 91641\n28961 58114\n56025 91443\n7760 88973\n28119 67215\n41262 86178\n62518 92261\n65301 85617\n32940 74551\n75057 88960\n18829 56534\n7619 60164\n2333 22094\n88802 91174\n68046 88010\n25168 35192\n56592 63549\n32806 54963\n670 71849\n18706 36620\n75521 84993\n61471 84983\n18969 25206\n4570 71622\n20358 76119\n40597 90695\n25510 27386\n9921 48278\n57713 61061\n43894 46564\n21899 64078\n5263 52889\n14953 64953\n32907 50857\n11722 87484\n4514 68811\n71124 74845\n45105 49727\n7104 9483\n7595 48170\n19626 55064\n23281 51998\n256 40583\n74 17778\n12368 91032\n47671 66469\n3406 39155\n31414 54633\n26474 33999\n66612 75804\n3876 51122\n37248 78006\n2801 29878\n6566 11113\n24390 84997\n12804 75414\n7175 12004\n36510 73763\n27451 30170\n24297 59493\n19620 92453\n18310 92978\n37829 91518\n78114 85533\n25163 64379\n74173 86592\n63381 83875\n33841 89642\n6143 9519\n42973 64255\n50232 92040\n30493 74871\n57177 89985\n68983 78797\n82970 87786\n39280 53402\n16204 23987\n53356 54593\n39761 73048\n64923 76397\n14647 53123\n12700 48736\n61763 85716\n79011 79114\n74480 79695\n46503 53242\n73898 79435\n7079 55370\n37940 59731\n44689 45074\n76316 88809\n21468 85756\n442 9905\n12025 47452\n7655 88061\n28449 76098\n6443 50638\n2696 29290\n51425 89811\n11484 46637\n55216 83291\n55571 64644\n45089 64608\n24410 73599\n24052 56296\n70355 87352\n14671 63459\n18108 67042\n14542 90512\n18754 35992\n25646 73305\n15500 32817\n14158 55098\n13969 24949\n79566 88074\n36432 53356\n53181 56166\n60840 77278\n19160 50605\n5550 34437\n24970 27587\n30629 59360\n45409 61166\n51810 82514\n3446 8549\n30958 83714\n6460 28511\n50216 78255\n70299 76476\n43027 77293\n61992 73546\n24402 68031\n75042 89328\n6765 43613\n6101 83102\n15498 70856\n67443 78488\n8689 35811\n59271 64792\n63396 77492\n2677 38209\n8148 29375\n43096 55064\n6681 25039\n20459 25494\n79312 81435\n41078 90283\n51725 89358\n47921 85862\n30987 42468\n23879 72813\n44820 82415\n5545 54057\n44365 52366\n20365 61915\n3945 89970\n14817 64916\n42981 46666\n87315 93119\n23341 86480\n40432 88941\n31029 80437\n34579 66201\n4241 92100\n42865 67377\n26427 40792\n7784 44989\n10739 77017\n21858 47218\n21693 79849\n4373 61271\n50134 91043\n21794 86136\n34861 69853\n14086 17248\n63123 79045\n42076 71684\n20831 52850\n9483 29968\n48959 64289\n43921 65212\n30889 80898\n136 7386\n4209 78570\n19985 82813\n29428 50926\n51581 62957\n18560 75328\n38495 85031\n8247 16656\n7021 56553\n41336 52588\n42083 63572\n12213 34599\n41887 54641\n20271 46444\n45824 71729\n23617 79292\n42962 49036\n560 80318\n73400 92544\n51699 78646\n39756 79101\n5378 45864\n20134 60054\n22495 61250\n82870 89264\n53358 59161\n9610 36818\n76578 90972\n1655 28868\n29137 39683\n63611 90350\n12271 62621\n59278 78366\n1801 17107\n62161 71522\n4681 67820\n63091 75643\n60854 78123\n17090 83858\n57815 66538\n58381 71535\n33912 83241\n9248 51572\n50101 81902\n24512 56061\n42924 85414\n5492 19904\n81932 89685\n32554 59217\n15 14299\n43992 84266\n49472 92994\n18093 56829\n9728 17366\n48670 82511\n8269 18460\n75359 90259\n56028 74968\n82024 90023\n22029 71277\n24924 39946\n78956 85853\n25131 63622\n36060 88242\n26205 80890\n7089 20661\n6359 71319\n2327 60091\n10610 48923\n33116 79679\n79881 85213\n56962 66180\n40944 64828\n36443 65251\n60350 65847\n8171 10319\n7998 15440\n3402 44846\n37358 90839\n14519 70857\n59489 71273\n61433 70843\n30832 79291\n11065 51446\n32808 87650\n24594 28052\n36360 87030\n45918 91539\n31053 86176\n2491 18250\n67410 69807\n5834 59658\n26590 47137\n27086 48727\n6588 35689\n50786 69133\n49505 92794\n10510 30491\n29096 53519\n19407 55694\n65307 82021\n17435 64569\n32316 38928\n46010 75079\n28241 80166\n66729 68333\n42421 58512\n27734 65135\n25198 56465\n75142 92073\n37508 40471\n67337 76797\n14942 30534\n41774 62309\n66974 76878\n23222 74610\n1131 65263\n71412 76735\n25252 40659\n20747 84899\n15166 67241\n5375 72080\n17253 90454\n11064 32600\n31335 82182\n10785 84469\n19799 60274\n28094 49259\n74884 84420\n45247 56709\n2742 50559\n35318 87246\n48724 69179\n9294 81977\n48059 89807\n29552 50805\n19246 74084\n55629 74860\n53383 70761\n52203 59912\n10116 62061\n17847 83549\n45116 76464\n3984 46094\n25677 78464\n17773 44170\n49743 62332\n14405 18071\n4741 90407\n15829 18074\n36504 53798\n55196 62792\n67277 91491\n18810 78066\n16562 44112\n70958 87045\n40914 67950\n5837 91246\n3462 37194\n41488 67387\n16964 33366\n46143 61750\n40743 53705\n32294 39107\n69907 70026\n14847 63985\n37546 60226\n37 73634\n66292 90445\n3633 77782\n47029 67112\n59415 91796\n14218 43279\n39396 63026\n17180 33683\n18616 62128\n36393 82870\n18972 26470\n8327 91987\n6567 30299\n35221 47445\n42489 52390\n74234 92264\n21571 90696\n63466 87196\n38884 50975\n22630 23544\n21696 88233\n20918 68709\n58103 58152\n39789 42129\n23179 45946\n1438 68109\n61224 78458\n13102 39662\n35293 67625\n12586 43111\n51503 85186\n70181 78099\n24734 80399\n23947 79514\n23600 27458\n30271 38664\n62875 81501\n53926 81359\n32178 81802\n4926 62744\n15181 76908\n83455 91530\n83918 85367\n14678 82183\n1106 14215\n22788 81637\n30161 51692\n425 83975\n5946 85227\n1025 52379\n17777 33576\n53876 77751\n30872 85993\n11976 75736\n27057 62927\n30424 78801\n33534 39415\n20465 69438\n32059 82312\n2406 11552\n2268 75891\n10690 81810\n54030 83985\n65083 90032\n1749 68294\n24905 66146\n13229 71026\n54965 84375\n44270 76730\n39564 56160\n33728 90940\n5490 80837\n50390 77623\n1355 36253\n16354 71021\n70194 91607\n20794 78602\n9835 78664\n19305 90644\n25452 76805\n11200 83906\n23049 32389\n50097 77475\n34729 91140\n48776 67179\n43208 84963\n62096 74225\n23427 39989\n24666 74520\n40749 47185\n19818 46298\n1906 55477\n20731 89837\n4580 15979\n44266 71316\n15765 75162\n634 17839\n26764 33074\n79310 87189\n36713 65845\n1047 40252\n14683 14830\n41749 49363\n46079 78035\n45263 90905\n54887 57786\n15247 22151\n24038 61509\n36929 81177\n10086 41971\n55463 87398\n19800 39364\n69154 74316\n55620 82348\n13196 29948\n56788 69774\n30096 46172\n20658 33859\n39365 48281\n86719 91633\n58183 65234\n50296 61711\n2565 55471\n19970 35733\n12992 88231\n21932 84401\n56923 58658\n58178 76243\n9141 16369\n47612 85050\n44250 54099\n19178 44115\n50340 55944\n80566 81152\n21910 52891\n6606 28480\n21169 25579\n11830 33729\n67443 92554\n29193 84218\n68095 76005\n68855 77302\n46047 70049\n15015 19057\n43891 45977\n35598 57670\n10668 62465\n12118 67789\n44338 70795\n887 10859\n11027 54849\n79491 92387\n6064 86125\n57380 60463\n78251 85745\n104 56622\n38373 86364\n24849 76957\n23783 60319\n48430 84055\n50252 57541\n54635 74502\n36699 80327\n56029 82072\n16838 81524\n39581 69025\n22623 64686\n66286 89303\n19843 25159\n55355 83309\n4974 27171\n38976 42076\n481 58516\n26647 27433\n44215 69837\n7949 24526\n5704 22507\n63437 74682\n48833 70748\n8158 22040\n63584 88083\n61366 78772\n26664 73445\n40500 56581\n63880 88865\n34364 91489\n9825 18321\n9815 11720\n22701 90998\n48103 66385\n20448 54709\n31578 58330\n28303 70769\n22666 60998\n26440 52954\n28942 89790\n29124 77367\n5296 12041\n47199 83820\n23800 28668\n38093 49870\n37715 54600\n1803 69407\n53789 62494\n3119 72573\n50152 65601\n5099 76813\n11871 41331\n41420 58775\n74406 78916\n25729 51405\n57437 90197\n44320 64026\n35547 84751\n9418 21864\n797 78602\n42524 59206\n5294 83958\n11781 64534\n23399 53807\n18472 79589\n33439 77898\n26977 67434\n8856 88260\n3944 25967\n39019 69586\n39941 41535\n29325 39604\n30184 73137\n17291 82380\n52993 77471\n31734 71124\n32417 43582\n44945 52466\n11120 15088\n16933 72489\n35567 80868\n71887 75718\n10889 91636\n13253 19197\n1434 58621\n18880 72456\n57189 79989\n10387 11942\n13523 42691\n5671 53373\n31498 52959\n48876 60814\n8176 66899\n16959 84528\n5226 58450\n60580 88779\n49797 82537\n13620 16365\n14997 43203\n16719 48761\n67911 90749\n44226 70268\n61539 63880\n3101 83423\n24029 44300\n55602 57683\n66612 92831\n49666 56507\n9071 59978\n9967 57369\n22137 50007\n22729 68122\n5994 52725\n33502 73749\n40180 40563\n51062 79390\n5677 65969\n34497 91595\n26423 26861\n22289 86340\n11057 41939\n22765 58202\n26633 44399\n7194 92785\n21391 90240\n56568 70246\n52210 79264\n62306 85051\n11198 24464\n431 83469\n62621 64244\n31613 69555\n8205 17426\n1116 54922\n2067 85181\n64434 71375\n13721 60742\n24067 39505\n40372 65159\n62833 92541\n41111 63304\n64395 83518\n42659 73710\n39116 90007\n58055 61546\n17340 20706\n30219 70789\n46293 84455\n17841 47805\n15292 17255\n74662 78359\n25320 45007\n17004 71434\n30908 35775\n17582 31017\n12568 44916\n2434 43021\n36990 58388\n51625 88369\n527 46125\n4560 23428\n9445 45350\n31698 51703\n32135 71717\n46922 84443\n10101 24022\n68023 85033\n26969 81392\n17783 90943\n8310 47400\n1055 25721\n71526 85820\n50036 87159\n5494 65972\n62871 63532\n79895 81917\n9338 25727\n47969 65588\n30848 48794\n16531 86377\n44072 54386\n52562 82367\n34556 66359\n8216 40139\n31695 52414\n79423 88066\n3526 41108\n11440 65642\n62255 76908\n75011 85593\n14358 32551\n49019 84846\n29382 79832\n59633 72472\n3748 42011\n41156 54182\n44526 55120\n55605 59687\n19950 49733\n10364 26245\n14669 30404\n15955 34629\n41542 63381\n62573 71075\n15462 20101\n26924 59949\n12317 18435\n10653 36965\n31807 80758\n48626 64331\n7036 37293\n42381 50090\n38211 39135\n4364 61546\n46551 91792\n68441 81468\n45788 56091\n12088 89571\n25899 48803\n17343 61301\n40075 44080\n31313 79160\n19463 35628\n46152 70746\n48058 91019\n54547 87903\n33584 86953\n45472 91045\n58296 63643\n53070 61183\n6675 22596\n4123 9878\n21457 59027\n1060 4615\n66631 87658\n21153 26971\n40233 90911\n4652 19725\n1133 24560\n33935 37630\n62651 67289\n34941 41391\n1835 60752\n64598 77782\n75651 92493\n1400 37344\n21612 21780\n14424 51982\n1037 30160\n25412 39885\n31786 74511\n66319 82642\n5300 67743\n27543 73304\n80689 88397\n8103 31507\n34518 85988\n34357 40406\n8305 35785\n45606 54390\n7112 55755\n6464 92217\n16687 51611\n78054 93169\n11708 13029\n24938 58319\n9853 39418\n14788 62994\n38920 81954\n36662 41255\n11614 81070\n28552 81114\n10289 83683\n27139 81341\n24219 39968\n70634 73894\n31596 51092\n22751 63007\n18941 43887\n31699 86079\n32439 70806\n25770 69015\n15293 48852\n45277 70575\n29895 77928\n25442 37237\n29166 92629\n6150 46571\n5196 80577\n2012 62502\n21499 39322\n14529 34617\n60935 77688\n30271 65504\n13833 86927\n18448 53902\n16078 85635\n57302 92967\n29875 79325\n69601 86486\n34495 47484\n58951 72498\n29087 55423\n7561 47370\n20689 54404\n81018 89846\n50111 76241\n33463 37680\n30143 59299\n30052 45200\n22081 73491\n1397 34627\n4192 89860\n20995 48822\n13891 63371\n49055 79096\n54740 80296\n60353 61754\n21328 50044\n61471 87182\n21492 30346\n9589 87702\n5181 10324\n42470 66438\n53315 61740\n34431 52283\n7572 42471\n53252 69003\n18698 71590\n68513 91940\n69212 88043\n84743 85371\n2625 65070\n24307 48508\n12440 33455\n6309 32965\n24395 39640\n35323 67589\n3929 91627\n29428 86676\n12686 36285\n31909 34568\n33857 56819\n5043 84064\n15099 74308\n55612 59598\n10280 34011\n20477 34707\n35108 88992\n9196 78308\n47950 70807\n63899 72301\n14990 42300\n3859 62644\n30030 36236\n49644 60180\n32194 77830\n43763 66691\n57393 75571\n66902 90991\n33901 37128\n42946 86594\n12867 91342\n15610 77169\n11583 80041\n245 64466\n61060 82894\n47938 77253\n21104 53779\n2123 76242\n11387 33060\n42498 86593\n61740 90750\n36568 87657\n5285 89701\n34009 63368\n24626 63914\n23472 36341\n65313 66570\n59196 66620\n14509 37637\n42941 52197\n7816 46701\n56180 65814\n12194 23586\n22406 65982\n15882 81380\n19706 73976\n6710 81224\n31304 33174\n24834 37379\n14897 85293\n10063 71375\n35537 85916\n35251 48626\n44607 86159\n65788 66187\n22786 29116\n1349 59510\n67561 75640\n37219 68891\n52084 76890\n3528 46922\n17521 47986\n42784 51457\n605 80203\n26701 29273\n40750 54753\n47404 71267\n10042 71419\n18709 52927\n66765 89012\n26035 57981\n19637 80694\n8053 71217\n10438 31953\n19447 62663\n40607 88421\n51172 88288\n31221 77612\n33218 73740\n47498 90181\n70100 74031\n6090 75151\n24936 75697\n14965 27750\n22844 54462\n37040 55951\n29442 83425\n6722 72233\n52725 90680\n14759 80125\n62392 86732\n15055 49214\n19135 26615\n49223 81418\n30403 69935\n15586 29120\n78785 83158\n14608 46460\n22599 60491\n13903 62658\n19599 77021\n4525 56449\n38949 44492\n12556 83729\n52955 90963\n25676 48914\n59258 63456\n45982 80445\n13776 82399\n23450 69213\n51477 79596\n4825 37329\n16417 70667\n35323 72383\n7334 91456\n47388 51615\n44898 63431\n64743 89246\n46047 47583\n62741 65317\n74532 75026\n5620 79638\n6057 75700\n42178 84159\n8372 20055\n38792 42714\n12449 79018\n36000 46873\n4411 25809\n46587 83165\n49547 61756\n810 69362\n7122 43906\n3272 70285\n17966 75187\n15856 42780\n8031 57791\n23910 86922\n55710 74060\n16760 74711\n45611 62204\n53352 80096\n46297 67553\n524 22002\n5649 40153\n10759 44039\n77476 90396\n40774 83608\n13582 68721\n5419 68069\n82939 85302\n34110 60243\n1066 47415\n13284 13836\n25365 31076\n10762 83061\n20110 91604\n58227 93092\n4272 59289\n11994 73177\n30082 65658\n4508 71278\n24195 64952\n16959 21183\n54131 69656\n25204 62642\n6018 75034\n79849 92033\n50818 56730\n12436 66403\n54868 85317\n44494 84776\n76018 77070\n35215 41899\n41214 62622\n47415 50787\n63748 69020\n21466 37787\n11459 27946\n19583 30399\n31192 85176\n19909 30511\n59530 83114\n35386 68165\n58853 79335\n30816 65371\n46350 77726\n12130 37593\n46047 79991\n21072 71958\n9968 16572\n6394 6900\n18711 70039\n3233 63243\n46600 54848\n15082 78531\n28852 64499\n24017 83744\n23542 82457\n40210 62474\n6127 91284\n29825 33508\n62875 88047\n54437 73835\n16088 63310\n14542 24166\n21119 24891\n24052 49244\n9638 77550\n6864 93020\n4069 64544\n78330 85123\n59626 59766\n15848 64141\n28318 87770\n50413 66998\n52550 61244\n11864 17208\n30445 73880\n60054 68205\n42325 82560\n15029 17576\n41585 69946\n9689 46563\n36286 60541\n24317 36290\n26556 36708\n36770 38183\n53222 78489\n71476 75783\n15296 92630\n50668 60384\n46009 62783\n20618 30554\n49631 55308\n27189 71253\n54378 65217\n48003 59290\n8743 17809\n20918 48340\n5570 27929\n52667 66911\n14190 69601\n23849 54511\n48035 84316\n40530 57406\n3050 12876\n17424 68414\n69009 81907\n77544 80195\n13825 29931\n79188 89427\n32662 35362\n27673 77800\n45821 57061\n10166 56491\n8663 51029\n55867 71079\n32795 51171\n59130 64563\n5931 50060\n71269 71299\n18242 65370\n67766 79721\n1849 29104\n56950 79771\n62383 71013\n73526 84990\n25328 32450\n66171 84354\n36726 37088\n2713 33263\n22099 43823\n17977 77371\n2120 89452\n37327 92128\n14007 35170\n55660 85978\n9760 17651\n11891 90660\n65932 82257\n49364 76163\n73485 92347\n77473 91859\n7713 39616\n59498 61714\n15387 15592\n5029 89054\n34887 49336\n8405 73229\n33290 62904\n72465 78140\n46865 85810\n38647 91311\n40809 86520\n52627 55590\n53583 76999\n21079 25597\n25612 91079\n24850 25759\n4251 77404\n18334 77163\n627 35555\n14851 18210\n16235 18512\n13908 76935\n39160 74282\n4262 69348\n15149 91252\n43259 77753\n52880 90024\n37273 85063\n23523 68792\n5743 34055\n16115 53782\n6355 56201\n2221 27501\n21325 35687\n40495 90661\n1600 39028\n16307 68680\n48466 59813\n9610 10951\n2377 26889\n2174 28551\n10499 86542\n81656 85431\n246 71612\n60438 87320\n3945 12269\n20882 21082\n5257 45167\n22838 26982\n31939 78326\n54317 71488\n36760 58754\n33902 65749\n23561 61198\n36988 90838\n40342 53972\n5133 16297\n1846 36264\n31905 55265\n59751 60410\n5089 6143\n15693 33523\n87915 89285\n13886 74012\n7461 72044\n1086 36546\n6475 73526\n5004 25081\n1214 4936\n18569 77649\n49755 53810\n28296 69955\n38919 86584\n1312 16821\n10201 31896\n12477 61952\n55330 68648\n11314 73436\n9587 16030\n20754 54616\n14389 43361\n7695 85205\n11417 69504\n64739 72278\n28587 73383\n24637 59155\n9035 85758\n8699 27563\n66863 82634\n9971 71756\n12620 80958\n7463 12102\n19184 49170\n45291 68376\n26946 65267\n40452 66387\n20435 41219\n66170 86887\n5912 84302\n41303 72709\n27794 61850\n21267 32281\n46574 76047\n41192 50132\n28377 40949\n42964 61425\n19006 73718\n31011 38420\n72980 83908\n47022 52827\n20334 69214\n31441 56006\n48660 74397\n73727 86946\n15692 42764\n19700 54384\n39595 78918\n6729 74459\n37492 83318\n16518 24075\n39816 86828\n27633 63354\n19463 75473\n14961 63514\n49282 60485\n48092 85985\n4218 26498\n69647 85135\n28371 48394\n8142 81151\n71055 90989\n52988 71181\n52411 74388\n33564 34006\n6716 80448\n3923 81876\n44768 79971\n591 32912\n70852 75723\n11043 67581\n42348 77063\n17788 46710\n19922 76228\n15152 83217\n32291 39110\n23125 40994\n45566 46280\n9377 25758\n15222 90984\n75257 87786\n49534 66851\n15147 50912\n16467 17163\n14498 81842\n5435 81289\n12304 40535\n65776 79925\n72357 87000\n15100 92001\n8558 41476\n40047 63373\n29291 57958\n30977 76388\n55544 82997\n9250 36935\n10723 58063\n41720 77357\n10211 64461\n7464 57532\n89452 92312\n16561 22684\n51034 63014\n31919 40366\n28167 70439\n35448 53262\n44741 78432\n18776 40359\n50637 82656\n64824 92687\n64157 81376\n7620 34867\n1403 51376\n32638 67952\n9191 53739\n14839 38688\n76880 81433\n42916 66860\n88501 92535\n3485 84987\n16643 33990\n12075 85363\n14893 47630\n55758 69938\n32586 35165\n6136 33000\n39089 43055\n26009 56517\n12750 15349\n787 74332\n67069 67227\n14752 56085\n72318 80031\n7106 78960\n91140 92631\n8151 26605\n10757 58344\n2614 15832\n1432 77324\n40541 48907\n43607 65257\n4478 76656\n20037 90685\n40194 92978\n20964 49394\n63887 78360\n24347 92199\n10292 71542\n67725 85273\n39418 64079\n38836 47031\n36963 59988\n53526 84012\n831 20142\n60280 60717\n16690 87800\n29885 34646\n28990 33792\n4946 5593\n26144 41784\n19007 90634\n7752 64915\n66210 76085\n1682 88224\n38216 85193\n32517 90769\n39073 66264\n23925 41702\n84185 84804\n18692 53160\n45696 78964\n8629 54820\n38322 38590\n12392 78922\n2168 32234\n34122 73946\n8707 51253\n30811 92503\n21261 37396\n17601 59367\n24387 39598\n60030 61654\n72113 92351\n5031 84859\n34869 45469\n7149 52866\n74602 80399\n42658 46779\n73603 92523\n17828 62838\n16663 59424\n65626 77381\n50648 69968\n7334 19539\n66868 82429\n43953 63848\n593 15175\n37053 71537\n29321 92057\n56338 90898\n39081 83753\n59504 75940\n21880 79231\n21775 68566\n9604 68688\n33703 79211\n5636 62408\n8458 84961\n11867 45404\n11580 82168\n5440 88936\n132 3516\n45372 63997\n388 70989\n15882 68019\n45417 68509\n47053 52068\n3623 77592\n37298 72161\n1264 79811\n56725 80395\n188 51277\n11538 41148\n19614 62020\n13219 55348\n21774 50131\n4344 82412\n16660 52640\n3381 74691\n6852 74375\n16662 57782\n25631 54994\n37676 46681\n2406 43431\n69427 75455\n15330 81075\n2488 90962\n29657 54232\n40036 87475\n25334 78668\n6927 78861\n24439 82913\n12732 41727\n56361 68271\n18526 30244\n34866 53446\n36377 67675\n16862 86589\n34910 77503\n33509 91623\n6774 43339\n16701 31215\n40345 81969\n29528 73442\n78103 86120\n61708 78694\n7791 69699\n6148 29705\n26989 77081\n34234 44497\n12650 45052\n32330 81400\n12643 77867\n6736 45887\n15946 81660\n61337 77525\n9283 88323\n46532 49188\n4448 87419\n36270 67371\n6153 7764\n6002 55943\n16601 26768\n20624 57171\n21189 63575\n62266 75998\n20288 75290\n6589 87902\n36088 43150\n43195 49382\n46077 62545\n59605 85657\n14580 75311\n16289 54992\n13367 22315\n19341 33415\n33150 65065\n24797 63324\n43674 66888\n18485 56844\n37534 86054\n37789 39855\n24466 27190\n51985 61789\n73686 86114\n2003 74638\n73012 84469\n26928 37871\n11198 68248\n36106 38014\n14828 36717\n22581 62440\n525 45847\n44311 67082\n10918 34850\n39008 54091\n9632 44096\n74870 78264\n73800 77938\n32776 49704\n34562 84382\n10341 72029\n76669 87692\n20128 40824\n4492 30503\n31318 80970\n33734 79338\n5805 65833\n5691 90689\n28066 60138\n35955 63181\n58405 89756\n31810 87832\n35997 68229\n41440 76149\n66465 85702\n5471 50980\n12480 92804\n4979 66409\n774 61057\n31481 77992\n8879 29321\n30976 87144\n11207 52069\n49678 62648\n39087 56048\n46869 57954\n19444 85426\n5556 43989\n17065 54430\n11551 51554\n13976 72439\n14697 58644\n24629 85526\n37120 44300\n12471 79652\n65156 83643\n74330 87058\n20799 48531\n22151 41901\n76125 81082\n9747 16309\n34944 48563\n25506 66923\n61140 92625\n16258 45317\n63555 80903\n19776 81349\n33333 91503\n48224 65537\n60723 68077\n46870 69094\n47334 82562\n41357 60733\n69284 86252\n8713 10994\n34888 88297\n10957 22005\n86123 90633\n16414 20427\n76856 84975\n26102 66786\n3458 87800\n51563 58362\n65801 84984\n32777 53232\n23808 40541\n45263 87584\n6446 8790\n6090 89704\n14261 14276\n36389 61103\n70080 88519\n1405 21969\n46319 92340\n6074 56099\n8059 9601\n39752 42873\n22517 87419\n1665 46769\n57096 59137\n9973 19730\n5784 28538\n1431 22877\n8194 18940\n48074 68152\n25235 55851\n156 30949\n9823 44832\n31491 82603\n18376 76262\n4237 14485\n44737 72717\n55953 80854\n50473 67086\n22758 34225\n51586 53956\n31145 53256\n39341 60342\n38277 85032\n15296 83996\n37037 41554\n48965 68849\n8062 70717\n6210 42758\n38124 58532\n63532 84577\n36828 68018\n25236 32567\n35185 74197\n37795 49994\n60258 77300\n44673 72767\n53165 71177\n11147 63053\n4013 91143\n4805 62847\n13816 72050\n12982 92386\n24333 48455\n9476 46770\n4610 24339\n41983 70391\n64316 92768\n59251 66172\n19074 68071\n34232 59540\n54836 70033\n9291 37637\n54889 61490\n52420 79814\n10325 40882\n54768 80139\n15431 51767\n4408 83880\n900 65548\n18930 45580\n24799 71142\n5433 40346\n764 17526\n11334 79359\n17734 34371\n73614 78723\n4347 35901\n74094 84809\n26566 88632\n14237 72952\n27754 79613\n58476 86129\n22624 55236\n16145 44431\n63438 64791\n29157 55632\n9881 42152\n16638 29558\n11044 24078\n56090 61639\n31713 41746\n6200 79197\n32106 36861\n22841 70864\n17538 39792\n48946 92516\n19687 39782\n17310 36216\n14856 83350\n74149 87051\n36234 52857\n23159 46282\n5393 77486\n39957 58487\n38722 72126\n24682 51179\n48543 84506\n78216 88917\n14972 74721\n29930 90076\n3352 65426\n63622 92229\n1247 64944\n31606 85325\n13038 40927\n58063 90218\n56077 81041\n41360 90400\n51933 60170\n1361 26364\n18484 82552\n57077 61158\n29180 62179\n43515 51543\n19269 36096\n7408 45366\n4491 80606\n53043 57164\n9347 68607\n75673 86182\n39738 56929\n65734 86508\n35593 80685\n61286 74880\n44432 71756\n12504 53995\n22709 28983\n83262 89952\n48657 88755\n41579 49814\n30973 51147\n9490 24586\n26690 57047\n35709 85198\n13179 24253\n26524 58572\n36572 91394\n23169 70226\n6296 37175\n45557 76638\n1904 86499\n48879 78560\n31407 71521\n18183 41142\n12180 31064\n11762 84321\n502 44040\n2160 53441\n21818 80276\n27797 64552\n25731 26746\n33997 41954\n31452 91713\n35145 49768\n575 81389\n9213 30427\n78764 91978\n68466 77823\n40446 46750\n55207 62154\n44159 74127\n9115 9726\n37262 51270\n1561 41040\n28271 40932\n57423 69500\n50468 78292\n75559 79215\n22166 89014\n11160 37698\n20515 25461\n4853 25145\n22288 57426\n66374 82228\n51587 57593\n28214 82324\n48245 62249\n34351 48360\n32653 88904\n17714 40364\n21916 60252\n16556 55300\n28222 46679\n37930 47077\n18203 52440\n33745 60497\n70347 92898\n15242 18228\n2875 56819\n4965 82011\n4887 75863\n24722 61948\n1938 65722\n16369 41093\n47619 64888\n84602 89388\n13770 91913\n14113 53217\n48730 81933\n1948 10508\n44012 47043\n65389 85221\n17437 69793\n19832 90167\n12895 49319\n35154 78700\n10160 57237\n40302 73056\n32887 77786\n6130 52065\n9649 61914\n3321 26827\n86318 88726\n39500 86256\n9362 71430\n79019 91466\n19372 36088\n6523 55573\n8350 63357\n32698 54130\n24552 38147\n10812 59767\n38606 90830\n54395 91308\n43979 72178\n6942 33775\n25608 83495\n51191 67070\n9096 23459\n15344 73939\n12944 51567\n65453 71256\n13335 14861\n82270 86506\n16355 88340\n8430 60922\n26002 73958\n8477 34510\n1112 25649\n2153 75842\n65436 68390\n48648 50320\n41624 88182\n6034 63622\n12428 15367\n42560 65262\n5639 86244\n36087 73174\n22404 55891\n60549 85975\n8005 82999\n23393 46734\n16900 89597\n4349 9391\n37219 61630\n58519 70548\n37619 49093\n2620 71847\n38946 89274\n36992 87917\n49564 87749\n26348 56628\n41918 68560\n81777 81961\n6697 50444\n33848 38536\n50078 66043\n19013 84077\n19462 91544\n24348 42384\n39077 83726\n11548 69278\n164 64098\n28822 74270\n7260 70574\n32700 90634\n745 7734\n22738 65176\n10254 91491\n63557 79812\n10739 60318\n2937 85751\n25785 63005\n45140 51195\n28359 53414\n14955 89947\n29326 70807\n38497 76801\n16317 87351\n37700 45615\n14813 85086\n20581 63766\n69603 86606\n51200 76541\n1049 58327\n16329 23239\n65593 85938\n61166 87056\n26138 26499\n54228 90206\n61603 75988\n36840 85881\n18381 92359\n22220 44832\n9922 45463\n28997 41532\n20756 73085\n8161 44300\n14863 15787\n45691 60692\n14885 36427\n41760 42727\n19523 82986\n15647 75217\n3418 51283\n67457 84156\n14029 37547\n7754 56765\n1836 13238\n21319 84076\n3357 71119\n68760 72595\n20153 76299\n49995 50426\n43571 64695\n4003 15761\n6284 39643\n7628 19486\n6229 42438\n48612 79440\n51426 70199\n25909 78238\n16321 25437\n30288 90942\n43140 44185\n42427 54142\n47401 76921\n61493 85567\n23593 45800\n10122 25557\n27657 49371\n21395 51824\n10475 11651\n10707 57717\n66606 85002\n25168 63507\n3173 62804\n20172 74981\n3784 72388\n21813 87377\n10056 52594\n7950 56249\n17179 79436\n62962 77276\n66359 89346\n20840 30258\n55597 78880\n1989 16714\n50163 60456\n13932 47635\n17287 22614\n13792 79040\n59394 63263\n12869 13551\n9541 72058\n32296 37434\n17390 59269\n9130 87750\n84007 86920\n24148 43994\n61630 88060\n55704 76368\n1915 16196\n60714 61704\n24196 52308\n39620 77924\n12487 42981\n27025 64154\n32583 64429\n48939 84915\n11955 55245\n32156 63089\n48924 83083\n51031 57996\n34327 52097\n40146 44410\n6947 46108\n1431 62497\n15149 87014\n80390 91364\n31959 59744\n69823 85957\n24288 90284\n41510 62928\n38639 45127\n62145 62710\n65679 84006\n36743 59721\n28365 34486\n61025 75725\n66394 69523\n39174 78585\n40407 70792\n18600 44693\n48085 80028\n21128 34033\n22981 44764\n37467 64435\n14581 75542\n9114 45486\n56246 82780\n6935 8136\n40784 51184\n53581 61477\n334 1311\n10574 34843\n17109 72486\n32095 59280\n50039 51981\n15201 77503\n17614 42587\n14065 22481\n23752 85613\n19640 67613\n15923 50509\n3563 67659\n1737 61440\n10993 88949\n54710 81422\n13153 80111\n65432 82898\n6004 22263\n47040 54722\n20180 51983\n83 67828\n63553 66054\n31670 47451\n38554 75504\n6037 29096\n38980 81317\n27295 43305\n804 53877\n10416 61935\n11339 25367\n22713 72642\n21724 32268\n29335 86169\n68889 72751\n1671 57797\n23479 33724\n12979 63737\n20806 82728\n7847 64781\n73640 84920\n4658 86013\n22078 45173\n21302 56630\n8924 41282\n29058 43635\n42088 89300\n4048 43163\n3995 63538\n23145 87505\n31635 64134\n31444 64688\n59609 72605\n21394 89348\n13113 66655\n65653 68256\n17194 71141\n20791 27936\n28757 31398\n80994 86141\n3390 11272\n2028 70562\n13969 70236\n11011 70609\n63335 82815\n7658 14908\n47251 84813\n53390 76070\n11831 46047\n28653 54813\n2340 84290\n13344 53557\n10866 29693\n6471 90529\n42880 53864\n9570 52897\n26447 84548\n37548 79428\n29778 32673\n31585 89485\n52177 57703\n21994 31173\n5354 91362\n52897 54503\n26650 79668\n18910 36724\n5626 30358\n16241 36025\n14685 19288\n8558 83789\n3519 69876\n35145 68010\n27497 84391\n83036 90738\n15098 84460\n10435 53358\n39930 66096\n895 54056\n22296 59351\n2740 20472\n6220 84097\n3455 15474\n21748 80203\n49168 53295\n3835 82777\n13724 55808\n32021 47352\n69063 87110\n27884 64186\n49708 78239\n3036 73168\n59235 92926\n40696 88470\n998 18711\n29489 58022\n1146 49697\n3895 6693\n15536 81772\n19982 32308\n180 79793\n15070 74231\n33450 85315\n1448 33750\n13615 18786\n11123 54451\n32459 84150\n12087 28916\n75439 86336\n30837 43698\n50038 72949\n30528 73634\n86559 87039\n10815 63710\n49746 55963\n27697 91090\n16092 51928\n22045 55062\n59159 61815\n41162 75777\n2096 72229\n10337 52321\n35136 38443\n26407 77280\n13306 81654\n3743 33240\n34843 65752\n20905 39005\n47994 53704\n59788 63974\n10277 34738\n12202 13395\n50423 70885\n32419 79700\n56555 60306\n42565 93085\n25038 32284\n17742 57183\n31188 90440\n25685 28569\n24458 64127\n14317 17132\n40456 49843\n13293 16331\n806 42362\n38886 74754\n23611 91351\n54705 74484\n58612 83150\n48831 81380\n55918 90897\n26408 72402\n16061 82024\n1239 19620\n46010 62222\n5411 44457\n10905 35174\n28523 64416\n55371 65522\n18269 58087\n65859 83073\n26651 67298\n203 61562\n42913 86870\n71045 90852\n47266 53551\n46738 79313\n36276 40323\n42585 45429\n49886 62002\n47965 70834\n11032 14355\n64418 66713\n5498 15397\n65595 69938\n40763 70277\n37911 84036\n7869 15276\n9685 21068\n29067 82471\n25661 28617\n19611 47804\n24903 64487\n73148 73789\n61398 74417\n28998 82419\n45294 72811\n26244 72395\n7368 88676\n12164 92796\n16867 92697\n2678 72247\n36428 81929\n9721 51639\n55129 60406\n75263 92397\n24147 64002\n38239 77603\n39486 62514\n65474 67505\n3990 48860\n77784 92250\n546 57431\n26909 66640\n52181 75054\n32117 52808\n47659 87265\n76015 83804\n18853 42570\n50560 50985\n9777 66085\n16477 61742\n49832 57727\n18720 70856\n7381 86187\n17469 74062\n56335 86614\n56311 62597\n6600 42150\n24545 25463\n9365 85206\n53513 63806\n11989 79534\n61945 74458\n7850 88370\n50620 73218\n16785 32987\n57941 67334\n13591 21995\n71129 76336\n7322 36677\n53770 76062\n17597 52068\n42598 69050\n489 51588\n62962 92823\n19463 31909\n14578 34807\n11872 41168\n28729 65697\n55574 83759\n28948 74145\n28006 79629\n10081 26483\n474 76206\n5180 58325\n4483 91467\n15985 26013\n24829 39092\n6148 81847\n46609 63110\n37506 48322\n11381 26268\n68620 79899\n7689 79764\n37364 78663\n603 14050\n15406 26806\n861 17015\n36244 78329\n14115 25175\n5492 11910\n29235 61834\n61957 65474\n31651 74298\n44567 82833\n53091 71358\n14540 60359\n28517 50702\n10590 60313\n73774 81050\n4577 92743\n32891 64070\n4887 74294\n58476 83979\n20806 71611\n44422 91653\n10174 63169\n58981 73779\n55898 82995\n24679 27288\n22129 27049\n7646 52340\n48967 90658\n24174 53833\n49977 60379\n32640 54235\n37971 67773\n14480 75967\n25036 41182\n35238 52164\n5451 82363\n16722 73124\n15422 20670\n21957 85930\n74975 83654\n87940 91676\n11904 46049\n64551 64665\n39028 70220\n63893 81756\n348 83337\n84065 92047\n7231 79016\n22304 50658\n57822 84963\n6491 16446\n8761 52069\n13799 87836\n64816 65970\n12321 61117\n27217 51253\n61028 68200\n27418 51503\n15796 56400\n20608 53016\n14534 91861\n24920 43380\n5031 45823\n37268 38156\n62654 78370\n5863 35808\n29268 46648\n41254 66698\n3905 37538\n20244 24766\n43447 86171\n40860 71446\n43012 43699\n25043 60097\n639 39321\n71891 81592\n43666 83729\n34943 58476\n3163 6186\n35430 59532\n34477 44912\n58658 70595\n48782 54549\n12030 69923\n26961 50594\n18679 83017\n55173 66137\n27655 40733\n31719 51362\n67829 84819\n10732 34562\n38604 41811\n8085 51329\n39528 81187\n33744 47969\n65422 82571\n55432 63690\n3708 27252\n5619 51370\n19531 21383\n5411 11409\n30460 54259\n83679 91817\n43054 64127\n10401 86769\n15612 91550\n3517 20246\n2880 82407\n3107 6732\n36380 70579\n25660 90147\n47720 57520\n9043 45800\n22097 45836\n52557 60425\n36576 89363\n23540 41268\n18955 29147\n3159 91469\n48563 61790\n15712 61594\n30496 77353\n56462 89717\n43821 59844\n49659 82381\n32056 81169\n1879 50901\n1785 86636\n69594 71197\n49710 74754\n28818 70895\n22766 44002\n2011 38420\n27020 28662\n32089 48507\n12719 52728\n31520 70281\n4843 44908\n62387 84779\n20186 39776\n19344 26723\n8846 15473\n58657 65997\n8811 33693\n55552 91492\n29354 44579\n32920 73409\n38942 41317\n28901 53872\n6665 28165\n8355 63080\n22589 62813\n15956 36293\n38560 65153\n53140 79182\n76084 88126\n60948 89749\n1760 25866\n13231 44266\n30724 78458\n77172 87880\n65794 66590\n5948 53425\n51300 67492\n17158 57276\n86024 91411\n6047 52075\n18135 81657\n69393 87640\n34600 81738\n18012 26777\n20744 79807\n17057 63042\n3546 80215\n4513 91151\n8832 48210\n7811 10463\n4863 91063\n41536 53767\n37856 64890\n11469 11541\n87791 90167\n47242 86429\n21613 26473\n70436 81445\n34093 43932\n2368 14774\n48649 85421\n35946 88235\n25571 77878\n12228 15940\n39495 41179\n37239 88977\n16081 77690\n62915 67713\n20923 29156\n55380 91240\n10524 72739\n32396 86541\n13628 36682\n54722 87536\n48413 75142\n7852 75946\n40709 59457\n24666 58522\n15027 32613\n47926 68089\n26801 76715\n59755 79161\n26064 82732\n8858 40116\n3987 83565\n66181 90692\n22630 80784\n6174 14184\n5400 71112\n43841 69246\n19163 86825\n14652 31907\n3073 33944\n16034 64069\n7142 48486\n51521 77885\n35746 79156\n650 4362\n57163 79532\n71896 81991\n69099 74635\n19471 78777\n38337 82073\n57268 90530\n85878 90873\n12520 67551\n40056 77269\n29457 29729\n56834 77755\n60977 72073\n1013 76085\n21213 78672\n9420 60029\n60493 92708\n9485 89539\n13616 64237\n18871 70801\n23363 78237\n25186 43791\n11760 86803\n69955 74826\n7599 86434\n35988 49025\n24064 38113\n61 19792\n33345 78680\n27300 85215\n3475 56829\n55 58141\n60690 80396\n46235 56670\n20572 37008\n9613 79081\n7586 17975\n29608 60451\n62881 80216\n65344 78723\n86503 92144\n4693 92437\n37972 47314\n77610 77873\n50695 92551\n35663 85643\n34171 73395\n10784 47744\n84570 90384\n35265 39835\n15863 87711\n28059 31816\n14803 40927\n13176 17676\n196 29421\n18324 57159\n32153 93136\n32173 60539\n26361 55434\n10817 49882\n55192 73756\n31335 55701\n17311 76627\n6702 40290\n11007 44759\n59642 86014\n29010 37160\n38653 46882\n2857 36436\n64513 78705\n45810 65396\n29803 37177\n4305 33282\n43760 46135\n42230 55782\n8616 33231\n8272 28988\n22493 74415\n8453 48042\n3307 62339\n38345 52598\n24069 74102\n21758 86356\n40277 82997\n38993 44567\n4124 20593\n2002 90760\n19720 60487\n41468 68787\n11945 59080\n8289 78511\n21802 68639\n39906 45156\n56932 73933\n32583 34773\n58474 68875\n78117 78576\n43162 65090\n26654 56330\n15230 51647\n74557 87527\n28691 31000\n49020 62372\n21675 62927\n56196 65240\n27283 77132\n59216 88459\n36026 62509\n69087 85011\n58390 91591\n23556 35356\n14296 24284\n15204 16511\n25732 83106\n17055 17115\n35991 75981\n61362 92546\n80021 92204\n32884 64084\n34045 68960\n31608 68766\n55133 80128\n14330 83551\n15782 40995\n21550 23789\n4620 15526\n2834 73707\n6741 89240\n52807 62506\n70343 89771\n697 18945\n44484 88944\n34753 76726\n6189 23221\n15346 67835\n42567 54174\n42295 84750\n7489 37417\n33112 53605\n61048 75078\n73370 91514\n520 37271\n4026 87597\n16716 81254\n18082 32462\n10185 31580\n25048 42487\n1967 9090\n32652 73674\n38790 82696\n13752 86092\n1749 30732\n66832 72906\n960 44965\n69944 71843\n37844 67516\n92563 92758\n7422 84887\n49123 85725\n28739 74909\n5003 17302\n10688 37243\n38603 78631\n24985 35129\n36837 86208\n21884 45300\n72367 80605\n48778 72230\n76020 83660\n1293 59628\n35920 66390\n63244 70801\n29226 89503\n19756 31608\n82550 86898\n16390 23116\n29344 37854\n34817 47783\n15765 16352\n27586 46223\n62220 70272\n43506 52354\n28814 46394\n27813 87342\n24859 58931\n6521 18956\n44619 82782\n18690 74205\n27192 40818\n56066 87024\n56075 77787\n8190 55443\n4886 54243\n17760 90598\n50074 64363\n26850 90938\n65560 77786\n36131 85985\n31915 35424\n37386 46153\n40989 72810\n53062 62605\n242 27872\n22709 89022\n23621 86762\n13885 59549\n34117 72149\n16608 45233\n13857 50113\n10694 51320\n44958 92779\n67378 79390\n36244 88754\n12656 66536\n22974 34444\n45664 61816\n35879 38489\n3587 27303\n46743 72813\n33929 72745\n41388 48969\n41123 81772\n54038 91815\n12399 89757\n5279 68910\n26125 77169\n28443 54621\n21356 90446\n43260 69012\n2940 85525\n74667 88410\n77812 83431\n3680 26287\n26787 27385\n42596 67633\n12183 64865\n10930 72884\n348 64001\n30782 77365\n66268 70548\n14556 29915\n31985 63801\n11843 92562\n65434 82160\n14737 49239\n42148 70430\n46633 90725\n7452 45531\n48625 76566\n24826 87402\n4710 74383\n22044 79102\n67040 86589\n41296 63025\n63885 83187\n53155 70408\n74751 75988\n3010 39219\n6878 36479\n25205 71900\n59226 69587\n27803 28773\n63855 84018\n71412 89204\n14649 48045\n16875 46690\n56188 78279\n18367 89992\n16224 66104\n12963 63694\n23580 86202\n22194 22286\n24689 51469\n45610 74189\n85985 92603\n13762 84039\n8059 25632\n1043 6327\n25581 36884\n65459 75504\n68907 88136\n320 75792\n12188 85447\n16978 47494\n74711 92131\n16507 82626\n24512 24785\n12520 88512\n10595 33017\n4442 40814\n31402 36948\n22502 56439\n73804 83083\n51048 54838\n31453 46155\n43161 82164\n15258 81489\n10369 11576\n18206 85737\n27769 92247\n17345 53338\n32995 43932\n28558 56074\n35804 91348\n10858 40441\n8853 68681\n43005 50408\n29129 37133\n35475 70684\n38639 47366\n19986 68173\n56244 79851\n38241 49394\n59587 65105\n14860 16889\n19743 60449\n30665 87008\n18011 69980\n51767 82112\n4167 7096\n51305 76850\n78972 89787\n20130 61310\n10180 66744\n32550 86908\n3736 86539\n26537 58675\n1053 82471\n72580 88458\n4138 71832\n2338 20386\n15356 92009\n63826 79460\n27595 89489\n67923 83271\n42778 54789\n11570 77101\n41741 52418\n25522 88894\n19177 62021\n30246 77430\n197 36455\n2784 24739\n1229 15871\n53578 88556\n64703 85196\n28490 44954\n925 11891\n6799 56940\n21474 85580\n45722 51457\n14702 36884\n45322 69730\n34084 79484\n27921 45082\n8141 69882\n52205 72293\n242 54293\n60004 63095\n48492 82864\n10266 88654\n10898 19451\n55941 62203\n10825 80983\n59793 87048\n53475 69974\n36114 57566\n7659 30567\n28213 34869\n7188 85572\n34236 35632\n23695 74700\n39754 68762\n1479 78802\n67032 80222\n6737 63148\n1086 7292\n5199 42622\n5230 43072\n64347 80829\n6302 51914\n9717 54496\n26577 48328\n17440 89548\n11109 45429\n14045 73014\n2002 4958\n44547 63855\n57760 78980\n29710 29921\n305 9344\n44211 85152\n1094 21050\n41153 90922\n9251 87870\n64061 64645\n40841 68381\n54584 89573\n72153 74243\n18550 76640\n4218 92775\n65337 81125\n76940 86980\n8518 56205\n37555 92215\n74027 88068\n27149 55704\n54714 57514\n31629 56677\n7014 35657\n11496 31547\n14480 81067\n1322 82983\n7904 69935\n23390 32292\n63611 87469\n6298 59230\n22157 65287\n84818 85847\n42530 46721\n14694 53558\n33976 40447\n18918 19521\n63850 64991\n35171 69499\n15840 23982\n37626 57398\n733 13909\n28441 68017\n32831 33452\n45142 70090\n66001 86777\n1490 77500\n6752 52394\n16898 72581\n17957 79196\n38830 85861\n45729 90225\n45016 78322\n40562 60152\n20829 66779\n74923 91732\n25179 54669\n14382 80643\n88131 89157\n48652 82240\n17118 70062\n51208 85600\n11011 63943\n40970 80037\n58255 70759\n47456 74302\n8528 73841\n2778 73855\n68183 71168\n1033 11424\n20859 44103\n51954 74461\n42344 75576\n31136 39037\n4293 48656\n66029 75621\n42666 55634\n70225 84268\n18679 25384\n67560 74806\n39953 62901\n15380 59568\n39266 68398\n7369 82351\n12275 79317\n33786 92817\n27098 58468\n15700 43587\n58882 81115\n31092 67198\n21592 49582\n1119 28912\n41289 91448\n67284 92325\n2836 13540\n18476 56563\n19089 70858\n1597 6230\n39624 59409\n1691 18979\n1793 10887\n40410 67410\n64778 80255\n14082 55876\n55359 69564\n9743 30565\n5829 23074\n52804 80196\n64291 76889\n27940 44731\n45006 90891\n49291 92256\n23577 82774\n85076 89680\n41934 53622\n64128 89594\n53725 56577\n10212 23346\n17192 57239\n9431 65719\n45990 61286\n51973 53740\n7212 41684\n48440 48956\n10955 25113\n22917 52634\n3327 72792\n19481 75831\n17912 70835\n23596 87611\n51077 70088\n2976 68220\n21753 64859\n45088 66839\n14266 45712\n1843 59908\n10300 13765\n15959 55512\n62406 88792\n9379 12576\n47390 81887\n26994 41600\n9934 66388\n5991 63759\n22000 40323\n18809 27476\n9459 73017\n54752 89308\n63943 73709\n29607 74038\n35664 58694\n75228 85314\n71363 78030\n19094 51605\n15534 80654\n27004 34499\n47365 92857\n8786 76986\n41779 73594\n6974 41131\n50565 91640\n18619 31516\n27296 65969\n16643 25175\n318 10108\n4669 72375\n54947 91705\n18308 78395\n70550 91696\n20699 29306\n35190 87955\n49148 61214\n17535 85269\n28605 75652\n22931 88086\n42889 47010\n5820 15813\n38512 72208\n55115 66521\n47946 85732\n343 75182\n7312 51380\n56130 84502\n65967 73620\n86636 87966\n28553 40853\n6245 57440\n28399 66093\n48340 86792\n2647 69704\n13141 40330\n9390 31868\n1129 50097\n74841 78361\n21132 34595\n6709 8473\n43095 92593\n38957 47664\n32950 63081\n29197 49069\n9341 80977\n34131 36845\n23294 68060\n6193 29105\n20349 70186\n1107 58920\n64907 65745\n33579 76477\n9024 75176\n19821 59517\n12286 32516\n13436 90920\n29231 75748\n11175 64586\n28077 68617\n80621 82438\n15180 79945\n3926 79901\n21231 47004\n10902 21474\n10210 51405\n13013 53969\n29885 33461\n54740 68173\n23543 69798\n11322 60942\n1642 48384\n70472 72310\n77510 86382\n18289 41479\n3038 11255\n28393 48992\n44197 63188\n74682 75752\n44429 85947\n60949 84572\n79826 86696\n14705 22761\n27273 37148\n81309 86897\n79967 85736\n9851 39777\n42899 73135\n42093 57628\n38531 72262\n18203 75044\n27447 61070\n1872 69271\n41188 68239\n50855 74861\n13025 64830\n5728 62668\n7702 65870\n56525 84802\n13502 85436\n65858 92144\n13137 31020\n17258 25190\n58337 91996\n40186 49441\n53654 67329\n71740 85644\n6613 92662\n47675 60481\n62175 88759\n63031 83737\n50175 89195\n22010 71362\n12108 69941\n31990 82040\n33851 84764\n11655 15744\n7513 17420\n10844 64328\n14144 63274\n71059 91593\n32818 54051\n858 15925\n55322 61866\n18900 88900\n13004 77510\n22829 71600\n31252 79029\n12143 46136\n5486 45504\n5090 11676\n2711 53090\n26859 71294\n47500 63730\n57324 60757\n3945 7351\n28311 65512\n11439 78957\n34803 52419\n49013 64780\n14526 31026\n8286 33863\n11667 44106\n18483 29607\n5431 8396\n37860 37974\n30914 70108\n32298 32982\n54876 64555\n48752 61559\n6847 55622\n54397 56391\n65920 85297\n17174 70628\n29498 43856\n6282 51570\n13889 25921\n11626 12573\n81167 81811\n9830 93046\n31561 51002\n35147 57896\n26222 72350\n9457 54593\n26442 74992\n27995 71021\n39481 51371\n45105 61098\n37164 72950\n57894 59675\n28091 85987\n48406 84393\n27279 50705\n52172 79233\n21775 28458\n6125 24394\n35746 39933\n33134 67590\n10525 76844\n44393 85904\n16538 23422\n8509 18083\n22913 50969\n14851 52884\n36837 81121\n53229 80276\n36254 36351\n29897 70311\n11819 18244\n85842 91720\n64383 90225\n15252 70826\n43556 65609\n73217 81723\n12269 82675\n46216 86011\n61153 68135\n27027 62856\n23202 35335\n13806 56466\n46530 60252\n34937 72581\n67344 76765\n24732 46584\n89306 90894\n52506 66654\n45671 81626\n40791 61612\n72233 79400\n38848 58219\n3377 64098\n21307 33251\n56158 81708\n50213 61865\n30571 32656\n48922 92912\n17385 51999\n20748 63594\n34538 81893\n11920 88063\n76628 81237\n18618 43519\n6051 7434\n39493 76637\n75071 75281\n36651 52874\n18586 22492\n2183 33221\n25203 72223\n30947 68296\n43147 69477\n10828 66685\n38329 38818\n8936 89290\n9074 57632\n3732 61455\n63156 86079\n13707 23879\n21774 46941\n36900 62601\n38417 48546\n3929 55179\n6655 38476\n48427 60507\n64853 67961\n17150 19377\n55460 89870\n58558 88908\n43679 93006\n22633 62490\n11305 25336\n22608 69556\n23107 85523\n57108 92655\n8191 50908\n57703 72316\n28055 50738\n5765 50374\n25429 44179\n29046 79880\n36351 56097\n4461 65714\n13122 51015\n27610 59747\n37757 86145\n1943 89841\n20491 29562\n28145 38362\n13361 26191\n29155 47512\n24433 52241\n13591 21546\n13060 49674\n12015 77982\n13918 70585\n7200 47762\n10439 59984\n630 78605\n15572 87928\n73715 76612\n44023 62658\n84465 85317\n52889 64157\n20914 75371\n78325 92670\n12259 33045\n60005 60435\n32214 86455\n33028 79604\n22558 79606\n61223 74039\n7681 56914\n27059 34394\n29744 81681\n61320 64518\n22994 35557\n39646 56562\n83145 90488\n17574 82161\n63222 81606\n2121 87456\n27089 45813\n45380 53281\n28919 85362\n50361 90025\n84505 92031\n14924 78310\n62694 79334\n52184 90699\n41181 48499\n35681 86771\n11921 28866\n16750 38946\n36211 87791\n7280 69561\n22862 73726\n24466 61307\n45220 62067\n53056 63742\n8349 13893\n41614 44631\n26158 78221\n22510 54681\n43461 71925\n48337 52654\n4279 69644\n40721 44676\n8045 27526\n18115 87384\n9823 88723\n11526 91127\n24640 69007\n727 83225\n24615 58044\n2297 16783\n22159 27221\n36617 44583\n53093 71509\n43842 68710\n34758 83084\n50938 51432\n19068 42171\n40490 62888\n15684 64205\n8169 31150\n9308 18204\n51179 60837\n55660 80777\n21276 34765\n88108 92965\n13972 41532\n61067 75755\n47597 61134\n39789 92066\n28767 35829\n4731 37045\n8600 70511\n3922 53795\n36143 66965\n36187 77538\n83816 85316\n9971 33552\n2882 7191\n1953 21683\n21374 78191\n37354 50558\n60479 77183\n41199 63402\n65223 72231\n10567 12449\n10277 61092\n12724 57985\n13545 16955\n32673 87259\n14008 83100\n38978 56475\n42686 76618\n59239 80440\n28822 34503\n9069 63652\n75351 77036\n6470 74618\n563 54784\n4414 25669\n8913 69852\n43345 49489\n376 26952\n358 28837\n9126 16387\n5508 55532\n8510 74776\n38720 53935\n10582 90457\n10590 68773\n44972 85070\n3500 69403\n21122 61954\n27539 30260\n28214 33165\n75347 87073\n55946 78524\n45261 92554\n78227 78357\n46012 62725\n77171 91654\n35670 45086\n9116 64088\n28845 53454\n11145 27473\n10677 14437\n29943 89107\n59583 88871\n23756 84774\n15858 75844\n83379 87966\n76590 76994\n2948 12069\n33197 41784\n9223 33741\n37510 80923\n63152 86764\n46648 46939\n26842 42072\n35302 36408\n7865 39196\n45936 57072\n6408 31909\n33141 85215\n44721 66137\n2126 7915\n16879 27996\n8590 21197\n23773 66261\n49101 72614\n22548 89271\n40378 48287\n52613 59301\n25080 47721\n61261 72319\n37921 66469\n12144 46108\n24596 91101\n4463 75240\n31779 43329\n33964 36978\n31991 90788\n7625 21364\n29635 38256\n7632 57972\n12667 57960\n25758 45062\n10914 21961\n58896 64225\n322 55880\n30375 58148\n73709 84075\n7709 9288\n30137 73338\n16948 26504\n42291 61867\n43859 53244\n20874 66103\n33112 91970\n57477 63710\n63806 83624\n48283 90415\n44568 66286\n59453 69815\n70004 72871\n36891 50429\n740 37173\n42660 89855\n22975 80618\n5094 26252\n7642 13690\n17260 19843\n68114 90161\n50069 83837\n29216 49192\n13664 90525\n27939 87944\n37510 57914\n25083 52536\n20233 21893\n3771 33032\n66847 74583\n23072 72782\n49330 86525\n1917 76045\n50169 86617\n31555 87356\n12535 51039\n49911 68135\n76735 81580\n24755 62610\n41089 58597\n48290 82141\n20980 65464\n21515 91878\n37009 87093\n7250 92719\n37972 51211\n3904 11308\n49397 90864\n6812 68041\n8262 29250\n46668 58081\n43761 91261\n27956 71372\n65538 88865\n26764 61134\n8695 60902\n3725 79978\n44610 91406\n6174 7866\n14520 91962\n2308 75655\n149 72972\n8014 22310\n24926 89312\n56095 78999\n8590 50554\n6442 10347\n27522 33199\n1702 85846\n28018 92379\n28363 61684\n20511 59097\n47984 89127\n14502 39222\n49430 88633\n29134 86840\n13700 41783\n38995 66902\n22303 32160\n4177 12570\n27327 54582\n5328 11230\n65532 73517\n29079 72298\n47377 48650\n64485 87316\n3065 84601\n63114 73806\n9982 48030\n60221 67026\n10216 92513\n20433 63290\n47934 81514\n13161 61068\n29918 58687\n9156 44080\n27987 36274\n35820 71744\n6549 17882\n21285 53480\n25663 39626\n29042 41794\n5513 92495\n68252 77975\n55837 59506\n18761 53832\n85275 87678\n34531 72718\n6250 48366\n28100 50635\n48790 78469\n8068 23542\n52771 75212\n73355 85629\n34658 63882\n63083 76308\n63621 70747\n9775 36173\n12100 41386\n22610 47271\n30850 49060\n60666 81097\n1920 32145\n10881 67865\n57116 64965\n225 56916\n2842 3007\n72657 84840\n59719 60009\n14452 34731\n3371 59173\n69778 74692\n14237 59217\n23292 50283\n32894 35270\n54655 73483\n22716 54904\n9089 40272\n1887 64279\n602 82386\n27465 57105\n70049 77432\n43804 84707\n8581 79802\n12312 42811\n14774 39304\n8998 79743\n37102 85698\n36174 89936\n64709 77939\n45535 66505\n3901 32006\n32669 56376\n22930 34901\n22997 53198\n10383 63156\n71842 81768\n63435 78562\n71226 73687\n67579 84145\n73218 85039\n37774 53696\n79802 89104\n16585 27572\n46764 91358\n63264 83033\n58839 72659\n24391 24439\n17315 84910\n38043 62653\n38448 40883\n29966 79358\n63923 80006\n10188 19773\n47844 88161\n24721 65974\n29700 86764\n79833 83326\n557 45433\n27701 36133\n66535 74112\n20745 89432\n31623 45971\n20260 79782\n22309 76969\n29261 52817\n33086 50713\n10339 56850\n20598 42506\n50849 56552\n41757 62346\n5750 32266\n6765 44642\n52998 62731\n54697 56689\n1623 81584\n3436 58905\n37822 74944\n74369 91314\n70738 84412\n20395 27304\n42807 65718\n71798 85139\n45632 67092\n28521 46215\n24362 28072\n14192 23520\n2733 69508\n37433 70197\n34246 70554\n30358 32712\n22382 60028\n42824 55360\n26370 53327\n17151 58317\n33791 43887\n28440 67243\n47116 49058\n56393 73210\n11867 37487\n25282 69080\n23601 70929\n43683 78983\n58656 59519\n11217 60044\n3614 73122\n41005 73983\n16391 91059\n29636 92010\n34011 78943\n32275 88100\n43839 81628\n46895 82688\n22414 30480\n39892 53803\n3498 58801\n52443 83449\n76434 89437\n22561 39987\n39609 75858\n47815 54329\n3894 66760\n40121 64289\n19144 38326\n41162 74717\n31308 34733\n1576 61124\n14137 31428\n17559 24427\n36624 54173\n10432 27419\n15879 33899\n22252 88258\n14642 59051\n18982 37082\n24684 33686\n30844 50417\n28474 42078\n15297 72122\n81918 85221\n20788 32089\n66341 68604\n43168 83161\n67190 69624\n44967 67539\n15097 89206\n10731 12433\n30100 31711\n37010 92815\n35113 52328\n20598 86509\n83019 91812\n10665 17813\n27712 69341\n31809 50362\n57135 76165\n20093 69417\n29252 76842\n7995 72048\n6755 91902\n59477 65296\n19157 37784\n43736 48357\n64002 82890\n27157 71995\n25883 35237\n41433 79897\n15852 19444\n38977 69187\n16318 50630\n19805 86540\n2639 35368\n54891 55981\n12330 50748\n36335 92806\n39344 44713\n36491 63385\n38936 85892\n41270 72201\n6731 78174\n50850 91975\n7312 79997\n61446 76997\n40723 65770\n62624 89770\n14739 20103\n62546 72194\n44646 69975\n73966 74186\n21700 22712\n26385 67742\n12816 65497\n45222 50450\n22495 59268\n9122 91569\n70752 85078\n16769 36758\n63649 92847\n10632 42861\n3380 12654\n2988 40599\n15916 16630\n31145 31175\n9594 58688\n45930 61151\n7950 14807\n55648 61502\n11424 66597\n17389 90162\n23142 25306\n27317 57066\n60213 76957\n81917 82450\n10421 58199\n71885 82727\n26429 38978\n66383 88850\n20655 46236\n34412 34648\n53644 90827\n35255 50324\n26743 36544\n5106 40974\n25971 78997\n64457 84075\n66571 76321\n84580 85731\n19258 72972\n50910 84738\n23385 75298\n29037 47581\n37295 86333\n45517 73990\n14205 57384\n62655 78073\n23042 29132\n22684 40276\n32362 61375\n62876 63382\n18171 81825\n27645 52703\n33393 50586\n15046 45045\n4228 15451\n60460 64658\n10051 53598\n28948 88847\n19372 69915\n17039 92291\n26820 92052\n31681 38157\n4141 39120\n9794 30154\n18633 88773\n34265 70434\n30551 42801\n40933 84100\n40400 77701\n41096 79632\n14295 89646\n23961 33899\n65910 85702\n23987 32866\n75050 92777\n15853 49907\n15535 27652\n26542 69496\n50137 89790\n29132 46873\n3697 89975\n13961 16132\n9910 83179\n32178 75877\n27905 88100\n45410 84295\n26445 65023\n20087 33482\n593 36578\n12846 58622\n1344 71102\n8185 87208\n57498 77924\n18481 78421\n3578 55743\n44130 71272\n8656 74906\n16433 90257\n32509 33799\n58215 86599\n12437 23617\n24730 60976\n24742 62213\n11649 91068\n2694 65921\n43015 73078\n44613 72009\n11682 65200\n36921 65041\n72318 82320\n41485 42870\n31273 50095\n64342 72001\n27755 50482\n27975 62323\n42674 82591\n45254 64012\n57466 68393\n29120 74858\n18478 49058\n18566 91152\n20469 39973\n63232 82450\n22720 72444\n54622 60756\n30709 45623\n34461 72766\n6301 17077\n20657 60051\n2323 19057\n72395 83255\n18370 34180\n210 88931\n72026 83111\n26485 65464\n60567 87750\n81313 88193\n63318 87980\n71704 92977\n5652 80685\n27867 74269\n63988 78413\n39573 90574\n24672 47406\n35920 57313\n47330 49919\n47000 57763\n36538 71454\n45357 66966\n53522 63683\n3392 13690\n52485 87167\n61345 81545\n59033 73994\n33540 82866\n58794 69194\n36827 72874\n1872 2509\n32858 55949\n61296 62841\n10592 13297\n20431 33386\n22126 46012\n30062 69763\n34965 48140\n19041 64296\n19095 74309\n40950 51779\n9415 17183\n10401 19296\n58057 66194\n4060 68714\n17725 21933\n68597 89560\n15904 68784\n18045 27057\n37580 74192\n6964 77345\n30842 85454\n12159 70910\n23523 26703\n2044 55081\n8274 77498\n5176 13375\n12794 33752\n53213 74167\n19199 93039\n24485 65609\n1428 72654\n6814 18118\n25103 53690\n429 53152\n22176 89751\n34526 39063\n1187 59791\n71305 72223\n3894 74205\n9147 39118\n75098 81326\n2006 12848\n6288 18650\n25447 58055\n17397 40725\n51168 81601\n1846 29434\n10021 25035\n22260 61739\n44229 51805\n9387 26450\n16707 68973\n12552 34335\n41734 79594\n18008 27146\n26918 86851\n37205 54008\n11370 37419\n66485 70182\n26678 89226\n29530 89439\n42475 80342\n7583 55752\n29592 51186\n29122 75916\n8356 19273\n30236 71045\n19044 59450\n18554 46425\n50125 86222\n36144 66873\n14166 47237\n42172 85169\n14815 70170\n5834 52130\n2472 18617\n47902 81477\n22399 85147\n1548 92006\n57612 67836\n11021 53889\n35661 38605\n17233 32903\n10105 85704\n8871 46409\n47148 58674\n22074 44328\n19626 23035\n41490 47941\n27419 63018\n52715 81118\n19566 75295\n16883 43303\n42567 80226\n11327 89566\n11303 27398\n22793 48943\n39377 67141\n12685 14534\n7893 69470\n31515 52509\n37899 80446\n30220 90462\n72229 83109\n2894 33371\n30044 30663\n67485 75116\n5097 5133\n17375 70620\n37174 51005\n43254 89677\n36051 42991\n38071 63522\n39393 58043\n35413 61602\n8493 11129\n5273 76746\n41025 87158\n71352 71401\n12098 23898\n2812 76136\n18784 61308\n4 10052\n19070 55304\n41980 89470\n39468 85995\n49141 67310\n30474 53222\n14641 70637\n72208 83432\n19308 31542\n10955 35726\n34184 48230\n28156 87833\n32058 90836\n11309 24115\n63423 66986\n3628 81122\n7889 69186\n34662 49016\n22419 80808\n27082 87791\n17200 75062\n24828 59316\n33030 46574\n12199 83250\n63749 73968\n25082 77192\n38570 43365\n4000 30032\n3015 60956\n53230 69218\n52816 66480\n39372 66592\n588 63030\n7523 17050\n15026 40206\n38456 86201\n23904 48393\n7008 42333\n49390 93031\n9685 33248\n21543 69768\n33289 67813\n72231 72405\n13108 62990\n19474 54754\n12917 17406\n62611 84477\n19622 52688\n6780 54665\n26560 82565\n84525 92357\n45854 64089\n19401 57003\n33773 66803\n63596 65776\n35302 56500\n23160 37975\n46075 53187\n13509 85495\n13202 90036\n19980 79102\n26777 64974\n37202 41309\n26300 60111\n57556 90573\n10790 23091\n34554 60958\n7692 9281\n41506 80089\n13428 23066\n9406 58098\n13370 60455\n63778 90013\n79289 92471\n33651 86823\n6590 50102\n6877 82834\n3067 19362\n3051 58024\n25200 89483\n10023 31544\n7123 62716\n13489 82387\n71602 91498\n4444 74481\n18872 86866\n14487 28421\n21320 43966\n3944 92254\n16656 64886\n37866 92858\n28317 78258\n62799 65229\n7329 30817\n2253 10422\n1878 87810\n36777 40245\n59314 83702\n37661 52912\n38902 56194\n51920 78041\n804 25131\n6659 15261\n50871 60774\n53394 64695\n2055 89669\n8831 84551\n14535 20123\n55392 58674\n3685 4916\n3368 75255\n29582 92642\n13215 74708\n47495 61481\n7647 41385\n28570 58527\n28090 46098\n42906 61349\n54315 90971\n26390 80315\n16914 82292\n15840 42307\n7305 77888\n18573 55409\n66216 85561\n58667 78561\n28855 76517\n25470 33959\n11183 25093\n45881 88766\n5991 34714\n44552 91643\n8582 83567\n26302 38916\n22960 44798\n21478 78368\n67045 84117\n8898 35807\n19533 43559\n31902 33238\n23232 35222\n23863 48696\n52040 57524\n36283 75365\n13514 49970\n46997 93028\n88431 89051\n39894 76603\n18651 22230\n63903 67598\n5869 47929\n27272 30126\n14611 51756\n28843 35591\n55588 67223\n71304 86904\n75498 86566\n39234 63920\n72137 79589\n65930 75531\n41673 91638\n8146 35274\n4373 63930\n57979 58564\n71807 79696\n23079 71791\n15273 87961\n30160 90759\n79106 83922\n42692 64344\n32890 78198\n29368 68103\n1834 20516\n9016 50469\n71910 74641\n5945 73021\n37125 54971\n73692 77451\n7160 38225\n3833 87826\n7024 66527\n24118 71843\n43271 78559\n192 50473\n4951 92035\n38744 58872\n5697 37504\n27636 69138\n35151 44108\n51610 85857\n76081 80781\n66091 72698\n72441 83413\n41330 65853\n8198 66862\n27895 54595\n36011 61816\n67270 74801\n24849 50485\n30097 83069\n67265 90069\n35834 71021\n5204 83462\n14756 62394\n4000 67021\n37323 79312\n30207 83659\n5282 40036\n51073 63374\n10155 60436\n14357 90871\n61309 71648\n7908 10435\n75073 77246\n20872 51979\n24148 88855\n17418 85524\n26261 29721\n26389 89177\n48603 80049\n79295 89522\n4391 59171\n62756 81382\n37482 65811\n5072 34142\n21763 66288\n44031 50362\n14732 68485\n57017 87976\n28451 59604\n51302 62686\n75140 89196\n54124 85157\n44688 54986\n54850 66017\n56106 84849\n75818 90720\n11971 14828\n15147 38465\n9229 33101\n26208 57598\n16627 91486\n554 26455\n28026 30351\n54255 89157\n482 57240\n6923 24241\n71709 78182\n724 91968\n42449 48369\n13539 13560\n9313 36718\n2458 72340\n62718 80078\n42846 47214\n20718 21011\n24147 68679\n2621 11837\n23008 71692\n34054 91400\n30377 50347\n82671 88515\n20684 21826\n16694 61613\n82448 87164\n9176 78197\n68047 83699\n539 86760\n84860 90491\n56503 82124\n87485 91777\n10303 47110\n634 32883\n8688 76123\n11806 74942\n2056 90948\n9428 90271\n1455 42530\n61643 69887\n67575 77344\n4545 41439\n84132 88942\n1067 17428\n53149 71413\n23906 41911\n34759 35442\n60657 76009\n28510 75981\n29398 88113\n7664 13093\n14254 81695\n19252 24119\n56900 73465\n36681 63302\n27511 91345\n89994 92872\n26988 57112\n17934 45675\n2046 28741\n47301 67934\n16407 63489\n57797 72488\n29183 54176\n34152 59619\n39557 80531\n3137 84344\n26446 52323\n15931 79262\n40165 78729\n17409 22087\n47568 74895\n34833 92595\n235 39106\n2227 17535\n6287 8136\n35085 71711\n48238 49772\n4727 73724\n22868 32374\n59783 88140\n16816 73342\n86940 90446\n44418 81579\n35850 92494\n10745 42400\n37662 91152\n44517 63628\n15219 30611\n28065 71281\n3380 25990\n1713 58856\n21438 43888\n35029 53750\n71425 91798\n28166 78272\n61604 62489\n48370 58949\n159 46360\n2447 56704\n35259 40206\n67097 88631\n46049 69722\n7287 8720\n4692 27905\n11160 63078\n39548 43252\n51189 57292\n19500 83377\n10862 82256\n6814 80695\n39530 56022\n11314 23250\n64738 76907\n3203 67914\n25084 82057\n66099 88468\n20669 29666\n31089 69582\n15705 86913\n49895 50644\n791 67561\n54231 56405\n32575 74612\n45161 66257\n1392 84508\n20769 89055\n2107 3630\n58818 64662\n15032 51874\n70555 72708\n38023 50609\n75001 85409\n22888 41048\n13470 16960\n4856 21419\n47949 73569\n20223 92296\n69135 88921\n11421 17409\n6741 48185\n23482 83778\n19047 50073\n5874 68931\n53378 74323\n52758 79564\n43611 83042\n20937 55173\n22121 92164\n4410 86387\n59508 91872\n18992 66717\n5578 61820\n3955 55011\n13093 52449\n12012 74310\n21486 80414\n24453 65900\n34802 55929\n37553 62824\n18043 84151\n62966 84838\n17690 37935\n75760 91265\n29921 42921\n2622 5270\n28651 60045\n2573 41059\n38088 84148\n3119 30215\n52181 81019\n85973 90853\n21637 69631\n42941 82076\n4185 10070\n1210 61794\n49670 67747\n19625 22736\n23563 38103\n12016 14239\n33414 51467\n22309 69408\n3990 76981\n38748 92048\n8054 70210\n27270 30251\n27440 34072\n6483 74647\n10846 82795\n71993 90637\n50003 75023\n23987 54490\n35139 53046\n24122 38562\n43085 43903\n56453 81144\n23074 87641\n3971 19100\n20717 43074\n36927 53615\n23614 62324\n24763 65080\n43863 66752\n23124 52764\n29293 49806\n2057 14723\n29082 71001\n43386 82500\n5992 80475\n88625 90651\n32881 91093\n2555 75567\n18651 33417\n74762 89551\n22001 61105\n60128 61757\n50066 78411\n11878 18971\n20848 36528\n4953 11127\n50458 85151\n32196 52882\n73162 83107\n66235 67947\n22909 39689\n43308 87919\n21740 83791\n2540 51414\n62087 81945\n72826 77748\n1153 77698\n32189 45904\n5661 25171\n2551 59976\n33445 56270\n14299 49499\n61247 91067\n26744 52960\n5640 64209\n30745 89892\n6569 47217\n80382 82976\n12878 91335\n66461 77430\n1037 7089\n12300 42597\n63350 90967\n18905 89112\n68604 85153\n9767 23860\n58430 71353\n22653 46983\n20998 50521\n36460 78618\n2145 71075\n57678 83490\n4316 52227\n4353 60625\n46483 81631\n12388 20708\n16380 19363\n67788 89355\n18483 27777\n25974 45129\n38202 65992\n26725 68897\n16408 54373\n50005 73787\n53123 92051\n5458 62956\n46297 64504\n30951 77898\n29726 40770\n3260 87879\n725 8586\n41517 50471\n24199 58637\n10583 35791\n18425 31272\n30219 91215\n36852 74573\n25950 27953\n30761 70888\n44682 89756\n72602 90913\n38240 66524\n11467 49937\n2785 31303\n18285 59985\n4590 70235\n84653 90059\n42985 86872\n54747 92789\n57120 61189\n77286 85971\n26073 66101\n54533 77661\n15239 32201\n4218 18031\n76504 88293\n81719 82681\n11468 50524\n15736 83359\n11619 22874\n1026 15215\n1725 68249\n19514 24282\n37948 84048\n1573 17056\n17964 78176\n3587 30994\n29650 62615\n14121 25795\n33472 85740\n44727 50114\n24071 82598\n2070 29934\n26392 76580\n20088 70535\n25338 41754\n60235 73152\n24783 34869\n45621 88315\n4853 43683\n28567 63845\n84418 92758\n37488 42999\n68204 85167\n50278 92856\n4196 20268\n48578 89589\n60566 81219\n22080 32988\n41819 48849\n29905 86769\n67908 78840\n77319 79487\n6856 8115\n63158 70367\n16996 59666\n16001 32184\n48963 55475\n7728 26318\n28152 34564\n87831 88393\n55204 65708\n16956 31050\n2250 90718\n32511 84808\n29516 67864\n18748 31146\n24314 52461\n133 85449\n38022 84000\n9489 15009\n22641 32557\n21099 75575\n18392 88694\n34731 37718\n63028 92010\n6685 30290\n11642 12017\n3342 44856\n43887 62488\n42328 60644\n14149 27120\n44337 75517\n5879 68083\n2622 66573\n59979 85668\n75515 85131\n4423 32533\n31625 61858\n13581 32837\n12357 79807\n3040 15174\n38932 88521\n14943 32393\n89542 92213\n8441 67121\n16765 60703\n20227 39826\n37186 90452\n20011 81667\n2685 84720\n33413 46184\n11293 86573\n52610 92293\n21339 61846\n29473 42392\n3524 66250\n13776 44436\n43585 73026\n51053 75196\n15414 78947\n21302 79902\n325 59036\n53481 61251\n26292 36318\n82749 92106\n15698 45681\n255 30138\n70592 83331\n33689 68279\n60502 74338\n64247 64776\n14576 16944\n11052 54604\n26757 85701\n15492 57322\n51520 55553\n34286 45283\n43793 47828\n37372 85919\n68381 70542\n12164 83211\n52807 56228\n38218 73779\n41247 88901\n8501 76044\n9661 22428\n56628 60962\n16467 57355\n33022 54398\n11826 54603\n875 44668\n56208 87291\n3630 43486\n50726 75424\n49741 82155\n22930 81316\n4917 18783\n24634 74588\n547 75899\n28146 47410\n88765 91577\n75623 93021\n55392 66580\n29215 71461\n15367 34405\n14413 75847\n12462 82594\n10753 42748\n8740 65925\n35846 64699\n240 85229\n75013 77083\n39841 80250\n7529 55110\n18116 52525\n12499 33530\n19927 49964\n54597 65599\n40016 87595\n2917 16035\n17961 59067\n54551 81952\n66306 68680\n27713 89577\n8147 73926\n84456 90248\n31031 58937\n34927 81811\n39498 40757\n16367 20815\n23846 35265\n85233 85387\n37200 38917\n61224 70513\n44030 81026\n12708 74013\n22545 32461\n70176 77151\n20052 29112\n26641 27402\n3448 22941\n20029 91256\n24088 87784\n21919 58608\n11436 68027\n32881 47174\n57901 76147\n14990 86662\n43016 66542\n26072 56737\n64370 83884\n51113 73301\n43823 44611\n39570 80801\n17713 92579\n56243 78416\n71978 84507\n78816 85925\n6934 63306\n56272 58068\n32537 52211\n58568 68474\n3618 81480\n31743 64034\n8437 48088\n9856 38751\n1788 30274\n74673 81124\n27851 32490\n26637 73828\n13317 66815\n82007 90017\n19804 33209\n21483 54142\n28764 31142\n35852 44685\n31633 57581\n54840 79003\n18719 62345\n83821 85294\n23439 71494\n25898 75682\n22328 37973\n52533 65621\n15137 20782\n22002 22810\n50638 80181\n36932 86601\n60705 69222\n65664 66526\n44590 87044\n37242 73428\n43127 81630\n19794 29774\n34201 90233\n65623 90412\n38358 55627\n54134 72148\n74374 77962\n1311 3810\n64356 69218\n16615 21517\n65589 81498\n89596 90674\n57675 69865\n26413 68987\n58326 74765\n32992 39791\n58591 92611\n14068 36143\n28312 64781\n5875 71794\n82947 91080\n5582 90391\n61885 90498\n55567 92487\n27303 88094\n22298 62832\n31834 67438\n19540 21073\n3202 38832\n47157 83080\n36120 86683\n60386 77720\n46138 84953\n50199 67398\n35369 73980\n36369 37116\n9919 38491\n30986 62684\n13487 70829\n11521 40260\n8046 26124\n12636 63154\n14320 85393\n64144 88574\n57265 57833\n30489 63471\n48785 71753\n44980 71394\n12080 74346\n18233 86297\n49212 79905\n4022 33408\n30989 55760\n49393 67639\n45020 53818\n66649 87983\n27669 59716\n39876 52427\n21832 87794\n4692 71622\n13397 84526\n60871 65137\n15836 64399\n69624 89133\n4602 43328\n39013 74645\n9329 16795\n26475 80784\n28339 87643\n27856 40590\n32887 78411\n25465 76299\n39189 84720\n41585 53086\n43819 74177\n54036 81024\n49340 61683\n37041 41318\n13272 90493\n35837 67179\n16163 28144\n3590 13261\n20564 78438\n19838 57686\n56757 63049\n16296 40702\n41470 60860\n17725 93090\n16771 55564\n3107 82878\n50334 78779\n77494 85020\n43425 76627\n25532 47748\n7390 90641\n41363 53946\n6848 35203\n41687 44192\n44224 88072\n44181 51753\n32238 37707\n38093 84456\n44385 71924\n9559 41881\n8843 48009\n45953 53381\n33606 82586\n56861 92964\n7912 54243\n27511 48727\n52772 91288\n24942 52674\n40981 77513\n153 32911\n50952 62117\n64468 81620\n23225 90629\n43679 59917\n21082 43110\n30201 78851\n5673 54338\n73940 89993\n22577 58855\n17220 73563\n8329 9491\n10718 39371\n16825 50472\n42013 87617\n39661 48341\n36831 79766\n8695 25142\n19612 30262\n39005 68501\n21579 42730\n48009 66449\n46027 83610\n14735 47446\n7680 15587\n85352 87815\n25934 31858\n41397 57223\n23894 39393\n14850 41968\n47791 61275\n49496 54771\n27445 31949\n44115 93066\n66670 87615\n35652 71692\n52620 92490\n1717 70920\n765 76033\n71786 73436\n66086 77617\n2183 30217\n56080 88275\n40790 86873\n40256 49012\n63859 81522\n79069 85677\n15938 40468\n54838 87385\n5550 60594\n28446 71779\n3176 66195\n22776 57200\n11182 41321\n49371 91762\n67206 75788\n6774 23666\n16733 56519\n64963 73737\n20020 45606\n25510 51743\n81752 82658\n9167 85084\n46194 69681\n5317 44067\n24089 27180\n23192 54918\n72418 85158\n85163 89616\n69373 80678\n16327 29941\n8566 11312\n38385 54780\n11612 81798\n46703 79487\n6934 58467\n25663 74130\n56398 87760\n29268 56675\n13932 82061\n23172 65371\n73487 79144\n52982 69838\n679 82747\n76001 82711\n81182 82011\n36894 72610\n30942 45670\n4159 45138\n62922 64306\n23999 62434\n8273 57382\n24247 75076\n36716 47061\n52061 92185\n11401 40010\n9603 30286\n5912 55955\n15131 16842\n21784 58303\n37881 75911\n12044 78611\n19028 90900\n44027 55637\n25738 36770\n26335 42516\n93059 93160\n13664 35586\n20309 56403\n30435 86251\n9888 23568\n22561 36143\n57017 75816\n27106 75673\n46220 87616\n15020 93126\n65402 82014\n57681 74370\n4658 67636\n26109 56164\n62895 89594\n27872 36986\n27986 33374\n30212 91677\n15119 66946\n30542 61920\n23942 90220\n51289 68676\n57153 82721\n20587 51934\n22481 68353\n4211 33326\n40103 61726\n21253 77206\n14671 65583\n3165 65791\n26265 89264\n4691 67310\n41303 58087\n53542 89323\n9353 56629\n52311 81369\n6248 36930\n1984 87888\n54532 88987\n48081 90997\n8170 66118\n38609 90945\n63515 81033\n2377 25818\n45271 77279\n6287 39420\n51335 57596\n26344 53735\n48049 80931\n7205 28823\n37388 40412\n67670 85871\n33406 79439\n31170 58129\n26900 37637\n68502 89369\n4563 90926\n4281 7751\n2918 11252\n1055 38972\n24465 33251\n72532 88795\n19655 61724\n79960 87959\n26796 80164\n6728 67668\n34453 54029\n75326 75479\n36564 49504\n11370 75954\n35003 75553\n17166 44508\n35154 64597\n23481 41450\n60870 64900\n21918 69509\n33887 57207\n69944 80810\n41862 48515\n4313 32361\n75729 85995\n54882 77128\n12577 55315\n31747 77530\n60178 91411\n31727 83644\n18137 56455\n81002 87672\n24652 75154\n29049 40817\n39562 88248\n74546 79058\n63309 82132\n19681 68211\n1606 86040\n8995 83902\n2260 35080\n16097 60681\n32618 86305\n4878 77297\n45734 52081\n57966 86748\n14401 91570\n41168 68612\n30947 82409\n44753 78414\n33337 73797\n43460 48201\n3786 31028\n44080 51096\n7090 66280\n6922 40892\n1667 33092\n64691 84605\n63864 83071\n53118 84505\n60852 72438\n6076 16409\n18418 91110\n64502 83466\n74302 76895\n60002 60877\n24259 80006\n35008 85143\n9984 18360\n1209 84759\n43357 44798\n66639 85565\n50375 57468\n5006 38136\n27460 66934\n13502 41547\n59561 90783\n32410 74803\n56342 68014\n41364 71612\n17376 33900\n6792 7888\n32362 73551\n23123 73446\n59565 76321\n28304 32696\n28750 69989\n45849 66917\n7922 60621\n21497 45984\n6434 45090\n5579 17538\n6858 74641\n32462 90198\n31594 49115\n36557 86586\n31986 32168\n46565 68125\n28539 42616\n76449 86514\n21499 80402\n45121 92766\n17462 23839\n39286 46094\n34791 40627\n37477 60854\n85689 89294\n1160 59446\n17606 36458\n24653 38595\n19026 57875\n59106 86214\n58174 90726\n61101 74308\n53257 89513\n32003 76616\n7018 32054\n1818 73374\n48477 58981\n33267 80314\n3856 64399\n68117 87292\n23062 62896\n3491 62178\n5192 6253\n30977 60256\n6017 78044\n51916 63878\n17696 59679\n71311 90216\n22801 67412\n53993 84005\n4939 28172\n30117 37992\n66417 74845\n53664 91785\n9092 69980\n62912 82331\n85904 90706\n35880 53127\n42281 53602\n52951 93108\n11269 40222\n53252 59589\n17525 44136\n75819 88526\n23599 85136\n57865 90830\n57586 86243\n1816 88861\n19586 41114\n41930 42528\n45151 56303\n34850 49542\n18014 56392\n78845 80672\n9750 49660\n43420 47693\n46840 51398\n5729 7169\n25093 43129\n18919 37981\n9715 68510\n26743 59230\n88305 90466\n18348 41059\n9138 49052\n59264 87187\n14393 31431\n40169 66802\n59168 77352\n48445 87936\n12764 27049\n37071 61161\n24758 66751\n9433 65998\n1768 21946\n45466 46761\n12545 36978\n3609 63226\n2811 40343\n76359 76889\n24466 92286\n41727 83664\n945 18393\n55093 87425\n12743 59685\n39717 74814\n1021 73441\n36439 49856\n24885 59101\n46234 78420\n40546 41806\n67216 85595\n34213 82807\n19623 62118\n22507 65093\n22561 25077\n34893 69195\n39793 46829\n46334 62218\n30592 44408\n76054 85232\n24596 55807\n14062 31607\n20543 69931\n49706 63522\n49291 59391\n5552 60819\n31955 48633\n7480 24868\n2895 36185\n32435 89159\n4972 75877\n3184 49183\n52247 76602\n74220 74495\n1520 64444\n12462 49970\n25175 88588\n25866 57428\n19945 70820\n42817 75896\n15973 24207\n666 4610\n26266 41316\n24155 74454\n44554 65392\n40682 46542\n4519 37218\n59926 69105\n19105 61417\n5498 71601\n57643 66434\n35545 61880\n42083 62630\n66518 80153\n43021 84665\n30717 84127\n26615 55829\n3271 50516\n37178 88202\n20743 47713\n37837 67285\n2237 31373\n41927 68127\n51308 57439\n9159 85505\n32056 81995\n14330 52279\n51365 91900\n26288 58600\n40132 69705\n36152 90681\n53375 91434\n1119 73754\n770 45518\n41251 67277\n54455 60858\n69376 92526\n72375 78843\n53296 83521\n49220 58549\n6334 56055\n8255 86269\n41545 93168\n1310 51917\n24724 46844\n46880 86169\n57996 59125\n22384 73543\n27192 33168\n51313 57993\n12659 81880\n82712 89887\n23763 56834\n1240 13926\n64770 65710\n48158 59753\n52462 85406\n28196 42360\n74639 74696\n25254 55344\n29598 69220\n78231 81178\n8732 51981\n65634 74561\n32634 52705\n13831 34345\n43731 68481\n37240 44962\n26130 51034\n46132 78278\n48730 89924\n44833 46506\n40708 49132\n79034 88427\n4653 24532\n916 45755\n10962 80974\n66824 91679\n21989 84433\n11783 33667\n10449 49030\n121 13735\n21262 52953\n11896 24960\n4630 65191\n64629 89313\n16509 68227\n8839 66946\n11919 90701\n78124 86882\n77743 87353\n44026 61170\n52980 76833\n35991 40559\n17116 44804\n24607 84759\n51686 54414\n30392 83236\n14331 20913\n33259 37007\n57931 77138\n38823 58436\n20423 88415\n35005 76989\n23340 33086\n746 40517\n6098 35824\n28996 64866\n31774 84597\n68049 81379\n71813 74127\n10038 56403\n41422 62662\n20644 23785\n1242 59025\n13812 65269\n60775 68836\n12153 38751\n46956 81727\n53538 80255\n53326 89439\n24099 72884\n50388 79022\n3001 5151\n74615 79611\n49875 81301\n56789 57741\n17870 20968\n40195 83671\n24298 36456\n78464 80393\n82341 89393\n294 38471\n39808 71659\n10381 21879\n7762 63638\n45572 85214\n38893 55077\n71131 91487\n20100 89154\n34871 39199\n27899 45204\n24682 29901\n20799 92870\n16375 50162\n1442 58167\n70463 73459\n71380 78979\n38927 87004\n51339 90314\n11717 25497\n20810 45728\n28084 62404\n70728 80647\n70260 84812\n31203 67953\n11163 61647\n67071 84139\n25380 70732\n10710 11493\n51310 73349\n35954 57219\n73639 80396\n61387 86009\n9850 65535\n60989 84209\n27987 91690\n21732 66669\n241 71559\n19270 20157\n5677 42141\n71950 83492\n51547 74785\n28080 30179\n39314 82199\n33892 35460\n6021 35799\n61606 72223\n68782 85730\n38708 67308\n62797 65397\n31071 88012\n16574 31897\n38826 72271\n36648 56143\n10805 16855\n32053 51258\n9611 23633\n39885 67573\n1996 88587\n62863 66661\n35791 45672\n31977 84271\n35947 84773\n27788 66349\n31810 69565\n44871 67308\n19217 65195\n59019 89817\n27416 51972\n35365 52116\n48118 66084\n51813 83359\n62088 79553\n3106 13272\n17060 88879\n777 42104\n9104 62624\n62620 83940\n47351 88176\n31362 89634\n27203 66018\n27374 50714\n29279 78726\n37838 63098\n11863 24787\n9530 89872\n61353 90316\n66787 74518\n53747 73014\n46674 48192\n14406 64075\n12418 39931\n14399 75559\n13372 15693\n18901 19021\n16573 36238\n639 10683\n45083 46239\n534 33867\n7677 75204\n17469 41300\n26507 44584\n21195 35762\n48158 81157\n37142 87603\n13439 92888\n17676 36127\n17229 40598\n43799 56739\n10783 34673\n20351 92966\n37453 38608\n34928 77432\n54274 77098\n42690 55760\n15876 48459\n22352 67948\n81661 84083\n11816 56096\n4613 30255\n23695 53033\n42367 70449\n26636 48054\n18922 56617\n5088 75079\n26123 34984\n58534 74410\n36617 43357\n54718 73539\n21459 28696\n16956 30069\n9425 74816\n48594 70073\n68356 71856\n24970 61399\n2090 60364\n72671 87352\n4988 64517\n77869 87562\n13808 22909\n82487 87510\n16065 52098\n64137 69927\n16972 52430\n4752 17014\n5709 8501\n31 74926\n61660 83400\n41481 59892\n28797 72636\n5607 36914\n34214 70498\n30392 88769\n5382 12997\n18080 71992\n87478 87489\n81085 82852\n12884 93067\n31108 39624\n22599 83800\n47438 73394\n27147 56114\n36251 63496\n24503 70759\n60412 88051\n32926 91975\n25319 58715\n1380 49370\n11816 80311\n57104 58932\n6654 27346\n25577 60347\n31762 55322\n69361 82752\n11831 74570\n72315 88496\n44379 84560\n21706 31032\n67080 90221\n83911 84099\n38091 57508\n23238 55322\n23599 65004\n46411 65052\n16872 38830\n27302 37642\n4430 30686\n56377 58546\n15494 92122\n7617 54031\n1518 35884\n646 79102\n31916 79657\n25385 82980\n5103 26875\n30097 68163\n81024 81889\n48162 84035\n35941 91142\n21370 45606\n65176 77328\n27011 39780\n20477 83636\n25612 50028\n71577 86878\n27427 51521\n26201 86777\n25653 86898\n33212 37993\n7006 38236\n1507 32730\n47632 69423\n8395 25800\n83703 84991\n18922 29262\n66963 69636\n188 13380\n42812 83925\n63930 91247\n41453 50260\n25648 64746\n12742 86426\n12969 85696\n57478 72625\n7279 9468\n10376 87990\n6383 42896\n50935 60543\n36369 68915\n8402 31114\n51228 82165\n59735 72536\n35931 72825\n21378 72736\n18432 18915\n14166 40346\n10261 50315\n61053 88807\n17479 46294\n14285 57652\n1026 9359\n34485 83134\n59241 64931\n53079 60093\n7047 74786\n47972 55618\n69076 78151\n49547 59046\n20918 31347\n26457 38969\n20568 38295\n27440 47984\n31900 81746\n17441 72677\n58125 79230\n26769 90418\n23498 30086\n81299 88598\n63360 77894\n24460 82990\n426 3212\n51448 75145\n13607 23541\n35100 80423\n32865 68371\n9348 51656\n40903 62237\n39247 67866\n2875 11912\n31 68268\n4345 29064\n68813 77421\n10229 30101\n6970 38651\n50844 83544\n30585 64500\n34744 91310\n27211 78859\n22116 48270\n3165 25806\n58428 74470\n19827 47962\n62710 68065\n60764 86796\n13653 71674\n18459 27977\n2975 53883\n22712 58550\n30886 75775\n41055 68346\n50511 89657\n17645 48434\n19949 51057\n29500 47585\n33393 91451\n45243 76246\n39174 65084\n55772 62232\n26327 45102\n58652 70503\n9659 12834\n72279 81771\n55963 63896\n68468 81889\n4339 5783\n5356 59438\n18453 35272\n2328 15010\n66981 82535\n31868 81593\n63628 84202\n57300 90239\n37316 60317\n23728 63054\n35578 54500\n41073 69893\n24745 58348\n3050 22699\n43639 63828\n6145 11949\n49937 70104\n25756 40177\n25675 53431\n47044 77642\n28743 57678\n29724 74524\n55975 58566\n42900 71731\n45784 71680\n48425 78291\n13561 81176\n10733 19290\n47987 59455\n5899 76981\n24000 34752\n70561 92947\n52568 89060\n37721 53182\n18294 52870\n3815 20461\n7912 89527\n8915 71474\n61410 90964\n16216 80432\n4312 28838\n18071 25665\n27350 62419\n19258 28570\n49370 56940\n31385 68796\n7293 74515\n15988 36094\n88670 91136\n1588 34661\n14061 23185\n27588 66327\n70191 76887\n55039 61983\n44832 70363\n40923 66284\n45689 46208\n26922 62568\n43375 49020\n74745 80682\n29747 83415\n42687 52157\n29063 86186\n62634 74937\n60401 70691\n47933 66356\n75668 84391\n68104 89134\n5608 80539\n81537 88818\n82449 85968\n10399 80618\n24988 41229\n445 5872\n36674 42834\n15931 63082\n18488 50238\n35984 91112\n25506 64793\n58606 90419\n9189 17340\n24025 30533\n40061 61345\n12514 35063\n22597 66548\n9602 83477\n25731 66650\n5290 15331\n230 56862\n39792 40925\n74942 82881\n41197 54792\n63225 88638\n16835 78757\n55918 56489\n12306 85129\n32771 61848\n44161 72022\n51739 58098\n15304 76664\n69537 87229\n10855 69451\n62661 77519\n40893 51789\n80482 81168\n18086 26782\n59496 79325\n4598 69109\n71121 80811\n44859 70903\n3149 49933\n58281 74161\n692 82177\n23011 41953\n35959 70084\n13847 42046\n48291 87222\n22191 27563\n20021 64680\n54143 86003\n3835 84652\n9263 49743\n40734 78566\n13781 27257\n81213 85303\n27353 63077\n18613 77476\n48193 62012\n23338 72597\n1320 45130\n906 26634\n66189 78922\n11194 13465\n44110 76905\n13466 52141\n24377 65901\n862 24230\n12885 47206\n3494 26857\n34947 69056\n8129 75862\n41694 84919\n48695 50946\n43343 46039\n15048 89148\n27354 69269\n59897 75840\n37501 42410\n25908 27400\n5842 25077\n64102 81725\n1004 71137\n2018 55328\n16540 67384\n30738 79125\n29600 35175\n5169 44126\n70260 72893\n62210 85539\n42312 72392\n12753 84765\n74305 74308\n48603 65550\n9654 27775\n42278 74356\n41876 79758\n8249 11871\n46332 64451\n35338 44382\n26999 44602\n22358 30468\n6848 15428\n40892 81837\n68587 87620\n11684 33321\n4846 34514\n68135 79878\n53198 56455\n42736 79086\n9338 11832\n19767 47784\n39443 77423\n74085 81494\n29656 45119\n51291 51956\n6243 58247\n20173 34402\n12333 77968\n50 13865\n42968 54660\n28286 53612\n76410 84486\n26134 37696\n70006 80309\n48670 70985\n72047 85404\n25559 53837\n66205 70975\n22250 68112\n26622 83713\n20963 34627\n75531 85022\n44522 86078\n8387 35683\n12198 75707\n58064 76320\n5254 65468\n1124 66856\n72969 83080\n68194 69463\n31727 37788\n4711 88525\n58096 77491\n46392 49272\n4226 21436\n18693 76447\n11720 27659\n44699 65992\n51999 81521\n85752 93071\n44687 88740\n9260 69237\n16236 77406\n22390 50643\n63163 76715\n3195 6054\n39480 56082\n80831 91483\n5014 35306\n8722 75671\n30823 42552\n30601 53651\n15877 28791\n17747 81997\n50378 55830\n8510 89975\n65225 69401\n12712 39324\n14016 26561\n41391 92175\n4286 36714\n71176 91184\n46263 76682\n33422 86873\n25862 51105\n21578 46498\n16500 40868\n35841 84430\n3574 68104\n14042 84044\n40127 41396\n67599 80135\n925 26251\n4350 44993\n52434 84281\n5054 86878\n44657 58019\n82327 84850\n20049 73502\n6882 45794\n14915 26975\n61080 83670\n41702 62437\n45342 89891\n60289 80400\n342 2662\n27366 50541\n37556 58300\n9063 68303\n5641 44972\n5374 76552\n61623 90758\n9024 15830\n2761 58129\n39428 65249\n16779 41828\n43967 76284\n37408 73182\n13391 88897\n71558 92332\n34163 65416\n29292 91314\n12934 30987\n34607 42119\n9992 85876\n21316 88837\n61463 63971\n12267 73377\n16916 92761\n15523 24966\n65791 85121\n4135 52324\n25081 81908\n13997 35947\n9499 27482\n40823 86409\n15091 16845\n56750 77463\n7220 90446\n87807 88457\n3542 72155\n21859 74701\n20155 91142\n29285 87864\n22115 90955\n17680 75224\n27605 81879\n79113 82559\n74607 83766\n4441 40288\n20870 44842\n37400 43391\n13120 30958\n20965 84600\n19562 41335\n17613 64079\n36433 84777\n22161 57783\n18932 53814\n236 85374\n23763 36433\n15117 24507\n65856 79374\n49341 87937\n52080 87530\n8623 82575\n8941 86378\n10944 38884\n24220 86909\n9287 12630\n8841 29552\n45077 90267\n48604 83104\n81392 89258\n40941 71696\n15756 48027\n24453 76806\n52213 63406\n19576 87256\n24852 71360\n14081 71397\n12037 87596\n26946 65173\n29856 75776\n26422 79178\n59666 86369\n70570 88435\n32737 52065\n60140 74872\n44378 48375\n43535 90422\n63227 79276\n83049 87654\n24147 30284\n60496 70777\n4832 14654\n84420 91159\n74638 92730\n27024 51786\n31297 58740\n35170 45868\n27647 33855\n2902 83883\n3358 44427\n10734 18038\n15460 66546\n18178 86521\n24344 60681\n45088 53663\n56982 66191\n54100 57920\n7844 44279\n50871 91311\n57567 85012\n53624 68629\n74976 82491\n36103 53918\n29739 82673\n13451 90321\n39202 49062\n29049 66232\n9276 21856\n18618 41837\n26567 86929\n16927 53694\n44841 49071\n9092 90357\n60794 63674\n38267 53376\n77941 78656\n46633 67984\n30555 75331\n12508 50310\n26664 43579\n12540 39797\n19676 63872\n26381 78830\n30029 90548\n19313 46500\n13938 79859\n23309 77487\n38198 83677\n21537 46843\n74900 93012\n2078 36333\n72567 78947\n65519 89038\n70431 82942\n8210 79668\n49230 52795\n4835 43333\n12530 15563\n34143 60111\n24181 68384\n7033 85475\n61119 82237\n2400 4563\n37908 73665\n38214 38784\n38817 79851\n35009 63055\n921 53154\n31081 37936\n24114 30541\n7524 73425\n5294 65250\n38572 51422\n6014 19963\n31803 67828\n13285 25836\n21467 67801\n76914 85103\n58574 76108\n9482 60982\n4768 86875\n35405 81423\n66903 74423\n28922 77418\n8405 39135\n23893 28174\n43622 82563\n38832 70118\n7488 42467\n28312 46391\n77783 90372\n203 36154\n16770 27832\n5102 23149\n855 9675\n48906 80247\n35833 40835\n32984 44268\n12126 69215\n18253 31090\n5701 73986\n56587 62825\n15515 71065\n43316 46896\n11644 66786\n27336 91911\n20053 66072\n31435 43091\n22992 74424\n6805 66375\n13566 61566\n76491 89688\n971 48518\n18900 28779\n60618 63825\n82966 92710\n71259 71504\n12237 31030\n23618 75263\n24330 47683\n23105 49335\n21494 22363\n7904 28234\n50921 92790\n62033 73367\n55055 59249\n86152 88095\n52371 78412\n23480 44720\n34766 38359\n68409 81795\n16290 85507\n23028 86643\n22172 44805\n49945 83624\n47804 49189\n66062 87375\n16803 74931\n9129 90475\n57572 82351\n74780 82056\n61791 74086\n6256 44752\n67742 79327\n37392 64924\n15844 81599\n11381 14424\n13343 19949\n58142 71110\n59275 64935\n18641 35904\n24013 32771\n3881 30882\n40515 86805\n18050 22570\n55379 75068\n12366 36819\n5023 31816\n21808 88605\n11560 72209\n5035 36833\n11981 26941\n49074 71803\n12726 70670\n66277 86767\n46962 79718\n19484 89230\n55127 71639\n11655 82682\n7527 40163\n15361 56981\n14061 75159\n4267 54720\n15572 45712\n18992 75973\n10921 91700\n9686 20945\n80579 82046\n53549 82819\n22968 52767\n3673 90675\n17478 74938\n39102 83301\n33686 91898\n33763 35623\n18540 21789\n7969 76219\n83349 86019\n50424 65686\n25807 73802\n64267 79293\n72149 74755\n8584 41375\n82622 87626\n13105 29399\n3654 55886\n7556 52961\n38322 49741\n2394 59356\n44822 56291\n6937 18330\n40991 42994\n18041 27072\n1253 15157\n47343 54641\n46322 86927\n36138 68580\n6684 81583\n30407 78688\n21238 85801\n33310 59428\n8545 74215\n18177 45566\n49131 60414\n29159 90319\n10769 87788\n3936 25413\n67756 70861\n439 38044\n21908 74055\n21580 60917\n21969 46396\n12817 24377\n18092 63287\n43944 85337\n20602 56121\n8339 49123\n1445 57447\n66178 77606\n26438 74598\n20105 29035\n35555 78530\n16377 80751\n51067 64842\n9924 13530\n36792 56316\n16395 30699\n7452 40120\n18617 88400\n5390 32555\n28051 72970\n6471 52314\n33328 72701\n5072 68505\n14598 67322\n22891 47157\n80552 91269\n72006 90462\n20983 75423\n33063 89376\n21092 47387\n8688 77891\n58680 91141\n10449 59965\n31746 77927\n4981 15755\n21707 35702\n80222 88851\n63493 65093\n22827 49961\n13091 45508\n50652 87691\n18343 48150\n13454 72012\n12109 15279\n18380 29964\n32943 62808\n3380 14407\n26778 42186\n15288 91837\n29811 46955\n21074 33206\n4632 51608\n49262 49414\n31532 39780\n31283 83893\n51946 74523\n36047 90488\n21949 58062\n13292 31831\n10707 40030\n9486 34523\n15146 31691\n29678 76011\n9875 31260\n64545 67740\n41185 66809\n18694 60758\n47517 68424\n8568 61700\n20715 53188\n79096 85368\n2015 60562\n40019 72706\n70098 88962\n17667 62994\n62824 89305\n27758 55858\n30390 30857\n2435 52536\n35016 83746\n22287 64749\n46405 57121\n25415 87932\n63750 74690\n14244 83790\n15412 89594\n8233 90129\n47295 84777\n1352 60035\n410 71907\n28510 57322\n18406 85589\n31133 82043\n29973 61637\n64785 78633\n14093 51454\n23659 47407\n6924 60481\n54094 71644\n28117 45213\n2022 49215\n38910 48327\n68121 87212\n30752 64907\n20037 69200\n27160 62933\n75174 81769\n88207 91355\n64219 68659\n27844 44921\n3548 36853\n37436 83276\n79384 79435\n58732 73318\n41728 92603\n49029 86370\n27751 66343\n4915 79741\n39201 83442\n9266 37319\n41169 54140\n73465 73575\n30721 77699\n21006 85973\n112 18051\n21738 79300\n63819 76200\n52061 58940\n45749 56055\n8577 71137\n41688 61724\n24904 86804\n16632 54875\n31695 58300\n30295 55884\n25175 91266\n26772 29861\n9107 40293\n62827 72378\n33022 46279\n1900 65836\n38206 71842\n28351 32044\n29743 38451\n15484 75539\n37698 49770\n57569 63653\n49082 53701\n65549 75824\n5293 92158\n23638 24691\n61897 71360\n2970 44240\n8169 73082\n8411 15818\n15445 16469\n454 59770\n64696 89356\n65657 71138\n24394 67999\n21834 39381\n1400 49436\n12160 65673\n10198 20961\n51754 56584\n19585 46390\n54566 59770\n476 84264\n71184 90906\n31596 37299\n51350 67913\n56623 81095\n53572 60523\n39699 79449\n5935 15512\n61350 82538\n3840 72593\n38895 68380\n28754 33729\n6884 38585\n30584 73445\n39069 76423\n10331 89435\n24804 69590\n6083 19528\n33679 71879\n36842 87648\n29108 84815\n40865 58567\n15108 61721\n76198 86692\n3826 44376\n10082 14959\n38758 49337\n31906 59498\n46621 84169\n684 2983\n2355 60708\n30591 55825\n7791 74707\n19126 71461\n28321 64696\n6288 21136\n72565 80830\n77644 92767\n59387 81273\n53836 77131\n63530 86609\n21657 80621\n49590 82924\n795 18746\n14607 28836\n73233 74152\n36132 49965\n29593 44031\n13539 63864\n20860 78105\n28616 36482\n22890 36507\n54582 64994\n21102 62065\n46634 93049\n50886 86165\n15939 83819\n14859 85082\n49563 74191\n45182 61450\n49735 50467\n30504 76310\n44969 50937\n38580 49950\n18799 55673\n42058 72564\n255 63231\n14511 20934\n67550 71142\n70171 82694\n12483 87611\n24876 61450\n11984 88532\n369 83881\n5084 91791\n1161 77932\n27668 28227\n13217 23830\n1453 44310\n8238 55945\n49004 76036\n38841 84415\n29483 45394\n69057 88205\n686 9703\n3324 32967\n18724 69897\n24724 56163\n45064 77444\n9814 67596\n34943 74453\n25950 60567\n36503 53656\n19101 70903\n2963 86641\n42989 79318\n24079 70554\n36910 47782\n1825 5145\n27286 37140\n64922 65367\n28939 92310\n38968 83857\n400 5734\n770 15675\n20388 26097\n20617 61088\n46893 87484\n24312 60293\n6362 24201\n839 29288\n35802 72187\n66678 68816\n7955 31129\n24239 77603\n10933 57932\n46298 84780\n43864 46416\n5356 21002\n19362 76872\n30804 41570\n4023 21615\n7063 52568\n41426 44799\n57707 72989\n14489 84798\n33549 50925\n29417 35267\n5981 56862\n20068 64266\n46732 78702\n10845 42599\n55694 63392\n76374 89175\n7739 83766\n18128 73372\n35113 61944\n71602 81469\n73833 88935\n18092 47594\n41215 45354\n7849 82819\n29824 30682\n41323 45136\n51604 73316\n39504 44556\n14469 87241\n15481 77829\n3960 11343\n9006 59128\n39772 78428\n18834 41521\n55933 79279\n87171 90914\n36274 55012\n7065 42362\n14790 90522\n27796 71938\n8539 74005\n16187 90304\n49638 81339\n73027 76857\n46036 57032\n47207 75606\n54744 68518\n68530 90084\n21453 25624\n9099 56558\n46298 69027\n9580 58899\n5607 32191\n4100 51118\n12846 25033\n14607 45324\n34792 45714\n48716 80067\n30564 43508\n19167 91713\n5529 9743\n46690 64245\n35987 79956\n3873 6404\n49011 82797\n85161 92851\n61963 65011\n25197 85557\n12487 36084\n75607 80612\n7044 70910\n14352 23655\n21424 79140\n44556 46259\n4539 86259\n20952 60367\n3669 19226\n59822 64558\n1909 43087\n20293 26967\n5524 75828\n55993 77153\n60398 76083\n48504 86708\n24518 92382\n3740 7086\n1845 33628\n8442 48110\n39805 64830\n27288 34456\n6002 30195\n14352 22801\n63610 90513\n3497 79555\n10569 36385\n56543 84009\n1196 83181\n28614 36809\n20418 70095\n39068 72134\n2980 72822\n34126 60918\n63427 86861\n48219 56228\n8815 35365\n33416 75377\n24798 67240\n68666 90622\n64384 70613\n12308 79605\n47882 75004\n72219 80742\n53481 80536\n29831 89918\n30627 65889\n37717 50037\n50938 57422\n31389 37397\n35687 39463\n24341 88269\n87943 91785\n27928 71549\n2255 14895\n4861 75173\n10784 82771\n9423 88452\n26603 91787\n26067 69258\n2961 81858\n3353 54228\n23222 87507\n7230 33604\n6136 23704\n17418 42687\n28149 64490\n85172 91126\n79933 89169\n20076 35722\n17733 27499\n16528 58783\n27176 77101\n27127 64750\n50281 69903\n33854 90209\n28615 65214\n61385 73168\n10829 65110\n18038 58235\n60470 81128\n29403 67435\n6425 70925\n14735 49265\n74660 82692\n22358 44551\n25515 26723\n56683 83708\n14331 38148\n65419 83310\n8891 81525\n28385 50544\n17207 73968\n5670 68191\n83856 89470\n34295 79228\n59451 68316\n27275 59161\n31528 42503\n29809 67953\n70492 75121\n20016 37532\n31270 78029\n19576 78396\n18071 55593\n13687 26900\n35439 67051\n56185 91765\n17649 70305\n27757 86913\n51053 57118\n24720 42391\n19327 47317\n3244 47984\n54282 77645\n14054 80661\n29793 40598\n4215 54036\n32231 37402\n16232 90186\n34794 66547\n56666 57025\n7489 75560\n4973 82653\n21208 29299\n19916 83597\n66856 69155\n46516 89677\n47763 57315\n3857 20774\n9427 80425\n18691 91833\n65504 76013\n22970 52286\n42728 51484\n41654 43056\n2264 79517\n19559 81503\n59812 83236\n7579 19434\n10924 34788\n51624 80186\n17061 24705\n10693 44018\n52598 76052\n12618 87010\n28457 30936\n35653 72853\n49167 75938\n554 50799\n48693 87606\n23292 25053\n27113 58350\n27331 50957\n4572 81203\n7312 78185\n25896 27141\n12391 38582\n31093 65293\n68112 83938\n18238 20028\n9063 48242\n6235 31796\n18451 59287\n38542 75064\n10021 38862\n80996 91820\n29982 64236\n40062 88416\n11025 55825\n10373 93141\n11822 73985\n22379 62564\n1645 86603\n35594 75868\n43274 62609\n12423 87713\n15667 66665\n50397 88079\n5810 30605\n22205 50964\n26992 36284\n47897 48417\n8269 81574\n22192 76333\n33105 35675\n5193 90654\n11630 45663\n20157 82983\n13515 80108\n75464 84745\n25894 43120\n85005 91395\n6350 75076\n10992 68609\n10257 21337\n48257 54650\n66470 91332\n7385 66435\n19570 70901\n45874 49837\n65518 81534\n60260 87397\n74255 81023\n2617 6229\n6438 72283\n13685 65970\n5046 84082\n25710 86662\n83858 89178\n63800 72309\n44267 78649\n84424 92050\n56677 77152\n54186 73290\n18822 34148\n52319 83295\n10262 87582\n78468 84369\n6774 23057\n39125 86991\n10757 81574\n39395 88545\n43586 54619\n51951 73168\n4496 91662\n13762 44102\n40136 40756\n73495 87599\n23779 33299\n70313 74057\n37550 64723\n6176 86536\n28894 59943\n7614 23966\n25159 46350\n26210 79320\n19317 38959\n41512 68343\n49438 63328\n63093 81303\n28159 68162\n9478 11935\n18482 58217\n16986 61888\n39128 67780\n35885 58346\n13066 56033\n71730 80146\n11730 37595\n67314 79464\n2876 61580\n690 46620\n51246 70913\n60576 74216\n15372 24409\n33126 81914\n9562 57236\n32773 47564\n1983 30023\n31086 89531\n16406 22754\n33267 67080\n62524 74019\n44723 45973\n50847 88952\n56002 69354\n61890 84309\n7084 23409\n24265 70079\n2267 47240\n9962 14511\n13666 73264\n7284 52024\n14549 57448\n35024 79371\n27462 81813\n10501 80671\n2225 34379\n56735 79698\n2741 57157\n24385 55854\n69233 85045\n1723 33519\n35638 67064\n34572 60035\n23236 48471\n40904 59685\n20749 60753\n884 85702\n21008 35692\n7359 70615\n10422 30637\n30466 50583\n45373 46472\n3706 29676\n16123 82330\n37411 70297\n42547 78494\n31062 76630\n25388 83770\n33998 56606\n72781 73716\n46644 63668\n3608 84510\n44329 88607\n25440 92400\n40397 66819\n8862 77473\n11999 53260\n26849 39846\n59241 60227\n10243 65557\n34057 52570\n56599 73701\n44618 87274\n61984 64170\n59543 65360\n2907 89016\n58269 62150\n52657 89829\n28036 61295\n6379 36222\n39939 61702\n47732 62493\n2714 73665\n10124 91451\n232 34940\n43670 70136\n31182 45656\n6137 56643\n31322 38326\n50005 91011\n39127 45332\n40394 58150\n10779 75269\n59450 71964\n3487 38557\n27630 54781\n790 46288\n41363 76911\n7650 36872\n44983 51274\n7456 38145\n31866 39627\n16509 41179\n10128 55842\n1710 25072\n5588 62663\n45820 80214\n18909 58500\n7681 37110\n26807 56360\n54239 90546\n2528 6204\n21729 51018\n43896 66909\n11562 70901\n22117 43745\n83876 86822\n24584 77794\n49046 88486\n8224 38671\n15473 53538\n49092 66389\n61273 82255\n13052 60766\n83800 84053\n47561 74563\n40220 78458\n482 57400\n19697 88229\n3545 35849\n27359 77842\n7275 73304\n15209 81630\n12885 36397\n1312 85965\n39892 91679\n15809 53491\n3281 55501\n32182 83040\n76242 78865\n40587 67190\n51983 63436\n7140 32660\n37766 41211\n31301 73614\n8111 63664\n10849 67758\n21756 30059\n28655 35206\n40182 88972\n26590 70053\n52087 86231\n69157 69593\n60202 65703\n52490 62675\n70346 77256\n18197 38250\n33842 66819\n46581 68564\n43529 52166\n86554 88847\n45100 71318\n2684 13023\n66028 79986\n66324 76784\n31653 37779\n46046 74944\n32164 46533\n14962 73377\n41727 75431\n40598 72429\n25360 90353\n9859 81215\n62099 77141\n50274 50341\n34539 91257\n23487 81106\n39992 80918\n47100 88992\n40264 70926\n7257 14078\n6877 62793\n4099 5688\n9853 29924\n50587 55192\n22819 45860\n54508 80441\n37462 63173\n6162 83512\n10370 19829\n73142 91323\n49818 73372\n83934 85548\n19133 53084\n17486 57490\n14182 66188\n50023 72654\n45817 62243\n38854 85394\n51367 74752\n4819 50120\n16321 54530\n23949 43510\n10839 12964\n5909 28606\n4752 10705\n66409 76361\n41710 91801\n14599 22421\n8240 45781\n78115 78543\n68141 91554\n6893 55747\n20943 26474\n30656 41018\n32215 80362\n81769 88097\n30458 42952\n767 19239\n33353 45355\n4707 38801\n57191 77099\n30779 53076\n6169 91473\n12647 89881\n19620 47426\n39043 63934\n39181 47397\n2539 59493\n10748 84470\n25617 28959\n12411 17833\n33926 77771\n17671 56456\n14772 44418\n3611 76622\n53554 79860\n18751 78768\n12574 20561\n82973 88720\n34261 88267\n13917 55564\n42382 70358\n2630 32113\n516 62578\n18281 92238\n16474 41657\n11654 84620\n17273 26329\n3519 20620\n9441 73454\n6643 25110\n62862 65853\n24814 75054\n34337 91540\n10429 20556\n3706 19775\n11251 37484\n51282 57536\n39751 42675\n69797 70943\n55237 89575\n9506 64753\n1772 67331\n26559 70632\n66992 75057\n29765 86343\n31567 43659\n73427 75995\n11752 79388\n318 74028\n8083 83119\n31993 64436\n16290 57631\n21867 47154\n29033 81023\n51069 91043\n30378 66828\n31427 54281\n27628 59498\n65547 84903\n16033 29513\n36944 57215\n69413 80722\n21942 28041\n66459 81555\n2679 15241\n74595 81692\n274 20535\n6314 60517\n24258 32798\n9015 14991\n43237 59670\n17226 44256\n3849 50722\n40341 45304\n28530 63989\n54387 73980\n30281 91191\n74585 82590\n62610 68902\n4483 74438\n58464 85369\n2785 79914\n37980 52821\n60358 68997\n1694 29408\n67997 81972\n3438 55663\n4884 86380\n1917 58331\n2806 39694\n31200 80157\n2064 51737\n5067 6814\n9328 81607\n13357 52960\n354 51658\n13851 23329\n75584 93084\n73495 81284\n73389 89782\n29756 42626\n20037 34889\n30548 49041\n65647 70294\n7971 90838\n50916 68963\n2037 72882\n34160 89752\n38177 84510\n35082 83319\n3837 37556\n4200 20638\n9640 10011\n22161 79385\n14652 33987\n9777 41858\n29081 35711\n12662 17493\n13494 54682\n21746 81799\n69168 86062\n5609 83718\n48381 89861\n8824 24948\n62632 76526\n76556 82935\n41265 80906\n79495 85810\n2106 24174\n4073 52104\n73320 78602\n1129 20645\n60967 80909\n67478 72037\n50933 64396\n62848 86085\n46147 67995\n2311 31844\n915 93051\n23886 58370\n2477 34331\n5011 71341\n758 31658\n39173 50906\n4406 35314\n23611 30263\n31764 60199\n29045 50365\n42017 71596\n35138 91763\n41444 62145\n4025 57570\n67134 92484\n36336 78696\n54188 69708\n62667 89893\n73682 90348\n71600 84990\n81162 90406\n78937 81600\n5623 6836\n24874 46423\n20720 26792\n36379 70951\n39905 60484\n7852 28504\n15868 57874\n9599 49969\n4522 19766\n7798 18049\n52544 75012\n18612 79995\n18497 36528\n59332 83100\n65691 76778\n49129 60203\n6220 11828\n10478 51107\n11522 71757\n71494 73123\n16353 27041\n83828 91654\n13070 84790\n39598 54796\n3879 82870\n47695 52342\n59952 86564\n33581 82316\n37168 74892\n5122 14007\n8721 65775\n21122 68999\n5010 81172\n27156 53861\n8016 80978\n54288 75746\n55607 71773\n74101 84183\n21448 56654\n46706 48554\n56281 62447\n10590 36040\n1892 67416\n70891 81873\n64929 75377\n53588 64953\n18020 33019\n35843 42077\n50954 83834\n43498 56795\n21637 34456\n33900 73801\n54015 55039\n39965 89865\n33379 59904\n41644 61546\n12808 58399\n31531 78293\n59633 78921\n31770 32117\n49215 81109\n24959 86188\n77432 92067\n84502 84715\n47989 57310\n50454 79215\n14965 73888\n51621 77045\n12931 35726\n37111 56488\n76982 91269\n15006 62084\n82732 82802\n37478 73894\n70805 90066\n43152 51553\n41590 78569\n85142 91175\n55833 57429\n35891 92117\n12667 23192\n14239 65253\n19115 72287\n37828 61016\n5445 36721\n41344 48603\n64092 66931\n68389 84695\n44309 58127\n7615 59759\n20847 86630\n15612 79840\n4542 23748\n37721 64069\n30637 40018\n30848 89458\n57515 85425\n25539 42338\n20055 34225\n49863 79549\n42382 81942\n22660 57441\n12362 64231\n49883 89819\n13830 81736\n158 18674\n74773 90250\n2239 43474\n71429 86757\n46502 85055\n27291 55914\n76641 81878\n21638 77886\n62599 91403\n68889 73788\n8355 28651\n17650 45782\n30677 56140\n2809 6296\n36753 62019\n82355 90096\n29731 43697\n38564 78021\n51590 59321\n51670 83678\n33981 60041\n36676 87474\n48907 76516\n23920 34786\n40138 93028\n19132 48283\n48185 59118\n29251 36169\n12249 25066\n8366 28467\n1173 66299\n43697 45696\n22522 82817\n3150 50222\n21005 59890\n54946 87238\n88983 92089\n10587 74348\n55963 82488\n35944 37109\n15622 44576\n30702 46921\n3698 7874\n49867 66953\n942 13004\n44730 81112\n45305 88031\n80079 84225\n12026 68322\n23324 35007\n67231 80854\n5044 15096\n56358 81360\n6816 30501\n21209 35555\n14156 25608\n78699 89515\n40330 74680\n16575 76730\n37228 76090\n26115 64178\n2770 72268\n13364 19546\n76491 78722\n6226 7743\n13647 91850\n32958 48278\n28687 65591\n5875 7581\n75616 86897\n58371 62661\n59082 89655\n7587 33142\n12278 45413\n90185 92573\n24134 88204\n19494 81285\n7561 69343\n31261 59588\n15110 70659\n4606 86531\n44142 58084\n7623 15431\n2317 19542\n58508 65556\n51942 70542\n10103 44005\n476 72133\n14922 28402\n54611 90138\n61174 71224\n82878 85056\n20517 56096\n6436 12733\n22421 31588\n2706 10223\n32580 50467\n19563 35522\n38543 51257\n8181 38023\n15525 73479\n55314 91837\n67815 79297\n37691 44912\n43623 45462\n6425 84662\n14641 27974\n38716 51358\n8223 54055\n80173 81225\n11643 28621\n36069 40664\n10926 48643\n39040 83418\n23606 61466\n50030 72179\n83760 88001\n20666 65096\n20093 49215\n11458 89161\n1087 87887\n13989 71135\n29120 41425\n8207 89553\n76530 84233\n1685 18573\n30558 40033\n28089 51722\n72576 75608\n58775 84341\n11766 28758\n8661 46711\n34824 74444\n78729 87177\n43771 60128\n39778 61951\n8093 68467\n40461 74304\n6076 68364\n19304 55996\n78184 83720\n15842 72364\n14044 85340\n29425 62187\n12018 55393\n39259 88248\n6300 85079\n15773 79236\n8792 17655\n35833 70915\n16367 75499\n29643 67078\n33250 35378\n26359 83572\n1130 55931\n15076 92722\n21799 79730\n15271 73051\n1245 24730\n47587 70395\n12481 36530\n24954 52011\n88513 89282\n3815 46639\n24871 81306\n1378 24297\n60165 91701\n44491 83423\n2083 36411\n6832 35531\n12214 71804\n44994 86705\n18230 43979\n15024 27122\n23466 49165\n21865 63157\n38101 66670\n65375 73689\n20543 72208\n66142 66654\n16613 52571\n15699 45697\n12912 82400\n78475 91858\n21427 87003\n9925 26310\n3722 92170\n10134 36884\n7211 11202\n86830 87757\n3520 75376\n27728 69208\n69214 82521\n31520 77501\n72550 89113\n25865 36544\n60799 77342\n29018 59478\n57300 80829\n11188 21184\n7436 28278\n45458 47208\n38770 66312\n16070 74250\n24613 50949\n19178 89317\n39224 48633\n78607 82441\n52379 63316\n11158 73031\n37327 54832\n4760 72283\n25448 88468\n17239 42507\n29833 56535\n38546 54577\n953 47563\n29429 38623\n20571 68625\n60080 60507\n32338 41856\n49041 81755\n1404 22008\n4030 81981\n34581 84268\n8593 47197\n1959 44034\n88117 89326\n52214 59841\n38772 46394\n59544 78513\n9436 37551\n26325 56296\n1259 63915\n41268 53215\n54679 69809\n25901 82655\n15027 70473\n301 21472\n23191 27848\n41817 64972\n54576 83777\n15030 78894\n52292 87408\n54694 66442\n40572 76274\n11274 49512\n11890 80420\n9205 13443\n32533 50621\n42824 81039\n10748 73138\n19885 80647\n31789 35413\n9649 68535\n14354 30803\n33392 42377\n18345 90719\n49962 62879\n19074 31715\n44292 72857\n33735 86667\n25871 56987\n4429 10294\n41485 48108\n42128 55039\n26468 43053\n44721 71039\n13549 20713\n54550 85422\n66953 92728\n23963 87039\n16479 86985\n950 88672\n8045 79700\n9492 43530\n3373 37933\n24039 80878\n20625 76786\n11958 65309\n21765 81991\n50326 64302\n20393 41631\n25113 64891\n42239 67555\n67227 73941\n12247 70667\n17004 31380\n23578 29681\n7946 74635\n37201 52194\n7166 21782\n26535 35107\n3001 62953\n59924 64969\n2144 58313\n15999 61762\n50372 67349\n17812 66977\n50344 76824\n13639 21211\n84314 90574\n40858 63674\n8539 29085\n52013 60749\n47532 85918\n6452 54718\n50156 85965\n13498 62026\n10522 89164\n52234 60534\n68891 78975\n20560 38181\n70104 90542\n81675 83936\n23216 61841\n46251 46987\n3568 76903\n62432 71613\n26480 33318\n1468 6566\n17440 44316\n72779 76941\n6383 41233\n80772 91400\n78638 90601\n14924 50572\n80467 92969\n34594 37113\n46835 80939\n17700 84528\n10022 20452\n31734 72876\n9382 51992\n33232 88627\n72359 86973\n53402 85066\n67333 70992\n51901 90392\n10539 36559\n37507 40740\n2741 73852\n26897 36187\n30340 44808\n47405 61980\n15650 88558\n31748 58333\n37716 83435\n11050 79904\n21640 25411\n15381 86537\n15353 51012\n14564 75014\n33911 38658\n65473 72779\n20879 93088\n61756 70952\n40737 59296\n44356 84820\n47308 85767\n47648 73064\n46363 61500\n7104 59186\n82591 83280\n28135 48525\n52687 67092\n25114 92644\n25579 87641\n37228 49134\n39208 42206\n68472 73064\n19142 57047\n8998 77624\n54215 67945\n15416 26626\n12218 35974\n8424 61196\n4697 14525\n4554 22317\n24808 58975\n26159 89797\n59513 87889\n77424 88563\n76485 81427\n9429 63565\n10927 15565\n59968 79613\n16016 67097\n12873 61888\n13930 41319\n22808 56124\n17359 91723\n59498 92807\n15654 43873\n34618 91146\n50059 56687\n21739 57119\n7358 19961\n1067 72787\n3783 81117\n44493 86940\n34129 49234\n27668 45909\n42695 69356\n62884 70219\n274 72859\n45344 71993\n18015 65637\n5478 39494\n14266 57778\n18194 34656\n51937 71804\n11910 79187\n65633 76119\n23477 58467\n11172 27770\n22302 87916\n87293 89434\n32439 45397\n7956 71758\n62271 72822\n18899 38810\n69139 91247\n13811 28853\n5122 23700\n16742 81324\n9481 23777\n13248 16111\n52179 67627\n11312 44260\n40808 92019\n48649 82424\n7308 66006\n9000 44145\n37879 73542\n11465 66973\n75407 90072\n30919 34828\n52485 69082\n33439 36043\n80807 81032\n15853 17256\n50684 62210\n65466 90096\n20802 30897\n46295 85938\n19189 72925\n6758 40380\n15064 64779\n17399 34929\n29457 87583\n31025 84658\n38508 43253\n61321 86891\n83806 86004\n32693 64241\n18251 39118\n43289 78292\n53796 91242\n53097 84708\n30714 62897\n27056 75572\n48840 88868\n2509 33346\n26286 48091\n28648 39059\n697 48489\n5600 64587\n63671 70290\n13703 34106\n8215 39310\n26312 54220\n5450 9952\n80538 89430\n14427 80170\n6286 50574\n56207 73982\n16962 26794\n33372 52904\n16977 35803\n10925 23370\n62241 65873\n4617 84428\n71087 88923\n58706 83971\n39898 45310\n14300 57317\n24034 27333\n39099 86105\n4322 13004\n20610 52788\n42488 84941\n71045 72373\n7718 78596\n9554 47140\n68042 68247\n14594 93005\n68546 90198\n29029 80284\n25627 87812\n34724 54523\n4094 5895\n3036 62689\n41725 89459\n26339 83094\n6633 92034\n719 4166\n17379 46450\n38468 56333\n46971 82759\n28696 51305\n24567 46141\n48372 75984\n53264 90342\n30500 84245\n4700 23941\n71257 73404\n9473 71772\n19372 37669\n17344 77752\n20917 58857\n16797 76550\n65146 70229\n13617 18649\n8320 76177\n37809 80780\n40276 80546\n5764 35482\n74030 89530\n8670 48223\n20521 71298\n34918 89448\n22741 32203\n35799 86552\n45279 58183\n17559 68732\n4136 90928\n45894 74442\n25245 68201\n73060 74549\n29068 82705\n78845 89481\n10006 21377\n83715 86225\n14471 46664\n19892 52934\n61053 79716\n10531 50654\n45992 81029\n17196 45811\n53440 75125\n32526 36061\n72918 89824\n15726 21006\n37145 87250\n62133 76054\n29733 91690\n1986 86973\n25098 68125\n56165 72070\n63085 72607\n17326 29464\n20791 70504\n5308 23612\n7949 73280\n21985 38003\n83 32336\n3127 31873\n43514 58651\n21675 25701\n70575 71298\n72884 82134\n30394 62092\n64271 85096\n45621 69822\n43344 60959\n1247 13031\n38167 45997\n6624 22843\n44458 86311\n68446 90514\n718 31000\n70567 78764\n51889 75210\n18828 74411\n5315 25793\n12405 86026\n71448 91221\n38724 50703\n4327 17010\n46174 68532\n615 36497\n32859 75241\n24096 43739\n29926 56904\n32672 61426\n657 58815\n46300 70134\n33098 57738\n53817 73123\n2544 21693\n64892 92488\n22766 25950\n77611 91598\n15202 27943\n11194 61218\n14131 89760\n22786 29956\n48349 69078\n4435 82946\n42704 72192\n44498 64061\n10110 78882\n31417 83817\n1135 35494\n30584 90430\n12895 66192\n89813 91117\n42506 44231\n26047 69609\n20555 31733\n23129 61433\n19244 62391\n7294 66130\n11728 89559\n37073 77411\n20258 65209\n4994 35445\n5546 19658\n44669 63350\n42390 52442\n52576 70636\n3032 55663\n79414 92583\n69195 71973\n29263 71549\n15097 89478\n19727 31931\n72109 91623\n24201 78427\n72646 77072\n64094 72267\n46041 64285\n40383 78629\n45039 91292\n4798 64394\n5517 55568\n1932 21596\n16605 30920\n15501 24903\n56878 73111\n89664 89759\n30432 49208\n34987 82939\n24547 58742\n82474 89261\n21178 34241\n27512 78252\n50691 78116\n62626 81424\n2600 12590\n30396 58189\n27956 65909\n57322 79118\n6448 41342\n17071 29778\n4871 54752\n40771 77731\n21926 71239\n81852 91406\n9200 41645\n7553 16735\n28534 66529\n50135 76394\n52761 59524\n3351 64065\n11019 84772\n3224 76075\n82070 86535\n46820 47116\n60905 68121\n2323 17293\n15722 80138\n14325 63251\n47575 70904\n30313 40585\n57544 68762\n9481 10082\n5624 49177\n2033 89964\n4446 59553\n52350 70639\n76567 84787\n25085 29650\n48184 79059\n16586 44360\n2088 90934\n11983 42923\n60570 69766\n4950 82236\n28933 52914\n8738 26979\n14839 22711\n10955 33957\n23329 26415\n5960 60578\n10879 21379\n2506 17801\n55618 87872\n21510 43848\n73162 91149\n13571 33789\n19666 35480\n52785 64787\n48174 75885\n446 83260\n18588 67014\n37275 39237\n38550 71608\n23546 88426\n74261 83154\n15467 74649\n6619 63156\n34890 86470\n71032 78528\n32687 33939\n39030 81265\n5727 47399\n61435 71610\n1182 76681\n5235 20875\n48688 87442\n26732 28520\n45075 65481\n13809 22963\n2728 15889\n16402 21328\n1315 81558\n1073 33561\n17157 57177\n50672 55574\n7309 12497\n41179 48233\n42329 86911\n3953 41861\n36654 49569\n40356 87980\n73737 90962\n12863 66600\n23017 73750\n53781 83464\n10966 75955\n7594 36065\n64215 89938\n27034 42524\n27310 80083\n21880 63874\n14537 52045\n25620 84999\n21332 73099\n1094 70040\n58340 79949\n42068 71770\n11472 32436\n1715 28493\n14794 44924\n1258 87804\n255 5774\n24749 79023\n1450 12841\n16673 86349\n418 71797\n24700 72628\n19321 83210\n19676 45665\n24662 53267\n39201 80622\n34103 88709\n61616 71131\n15807 20340\n5485 87994\n1483 69232\n10223 79117\n57832 65180\n27912 33400\n55819 68747\n7028 65922\n16036 38344\n25689 36100\n50593 91983\n67239 68243\n15412 75279\n30039 72607\n35497 90224\n28417 66067\n16127 86122\n65286 85027\n18054 90453\n34479 89772\n32296 88915\n67202 89827\n9423 80448\n17900 84385\n58440 63953\n37334 59189\n6626 31874\n14407 43853\n33290 64787\n41058 44391\n63034 73471\n53819 83930\n61176 79662\n73795 74437\n8739 69675\n5712 75328\n3962 9565\n23739 92689\n32006 69373\n51863 65688\n4109 29092\n66659 85139\n69231 90211\n36842 81775\n11260 46611\n6648 77040\n51433 82203\n8404 22689\n10437 80830\n3195 63491\n2357 87844\n10859 84300\n7061 55355\n34459 58131\n26262 50833\n27285 70422\n37204 73787\n41242 71542\n15574 89305\n53448 72140\n4979 45599\n54094 80498\n32532 71104\n78730 83370\n59430 60877\n58588 73812\n62660 80442\n42102 61172\n24886 71652\n31650 41996\n20528 41227\n85300 87700\n26358 59783\n11345 84569\n117 88950\n75683 81029\n14747 38709\n59594 79944\n22291 69484\n60527 65208\n18812 47285\n4519 77613\n15560 74580\n13902 36733\n17434 78570\n2519 77669\n61927 77245\n54962 60665\n6668 31690\n46342 72986\n13413 51897\n85556 90556\n12875 58665\n10507 71467\n11753 31147\n46186 56535\n16034 50567\n4004 50328\n58480 66554\n45775 46132\n44298 54321\n17225 48384\n5294 60982\n60216 68673\n9648 27845\n4720 45913\n26138 51110\n33022 81126\n82479 91722\n2940 36890\n36839 69061\n5932 10192\n12295 47945\n24362 44484\n49637 73663\n16654 32610\n6412 74011\n5361 71219\n46358 53784\n60646 66963\n31031 73524\n17593 22615\n51745 62938\n88896 92108\n36613 39528\n23750 41417\n14630 44482\n18880 44969\n9121 10850\n60643 71879\n4724 88526\n7696 46388\n18303 58096\n29549 30064\n9646 85239\n42295 68432\n27712 50346\n9247 47821\n16722 58605\n48004 66206\n31191 54918\n56704 67871\n18113 28060\n13825 58672\n4546 55041\n41913 61056\n22271 56551\n38330 43362\n56670 91058\n34426 61164\n7732 52922\n23464 79074\n40667 85843\n18017 73025\n79909 82417\n40570 56939\n30498 31215\n36720 60434\n1028 36779\n74030 83977\n12948 67286\n6501 11272\n50261 74900\n36890 54981\n313 37423\n68580 86351\n18899 22039\n33496 91466\n1134 80311\n8473 44638\n2805 18086\n10144 61024\n67143 73800\n25304 59453\n266 1373\n3434 84632\n26916 61790\n36355 55369\n2387 5693\n61668 64411\n13100 67453\n1867 64870\n47917 81153\n42687 44853\n45359 83276\n54595 82824\n19907 32170\n39889 40029\n11966 31725\n25824 54136\n1441 80119\n38171 83114\n40302 89461\n4625 28027\n25782 75080\n32477 71569\n21935 38791\n13329 69447\n10483 59102\n10269 43363\n3588 9471\n48676 78216\n31740 31907\n28135 81971\n37739 51065\n60803 87403\n69188 82795\n17348 43040\n23065 81450\n28335 73237\n21467 47920\n16791 85154\n7131 87419\n25810 71561\n64360 68293\n77728 83036\n27615 43632\n20185 20365\n47886 73059\n3579 15750\n75479 81464\n13272 57664\n313 44336\n6345 76763\n63 26780\n26257 90260\n3248 44068\n1136 18836\n8011 56154\n52054 74787\n9553 31810\n39005 71784\n5833 55675\n64331 84848\n85565 93003\n60225 79067\n35127 68261\n52912 80298\n75678 92636\n12010 41408\n51519 88015\n53358 81754\n25195 44437\n25658 71321\n12607 51408\n9000 62295\n1672 21681\n11941 43744\n21025 57948\n71374 73241\n28492 40375\n75149 92814\n56160 74915\n67195 69662\n23728 53379\n33319 58965\n5572 44543\n53884 68947\n13026 31154\n39473 61643\n4111 5755\n53043 82727\n20079 64952\n45821 65485\n2530 89968\n2440 64006\n30569 66606\n27501 31280\n35949 91799\n18217 43139\n29768 48791\n2567 35727\n34126 68384\n10578 76224\n4140 70103\n9163 23110\n17259 36470\n30849 72315\n16509 27591\n53635 62293\n17381 25996\n40355 64695\n31342 52537\n10056 86506\n21829 41222\n36625 58123\n18653 93137\n2249 20744\n53339 53479\n32853 76211\n54232 63044\n34210 83187\n37914 61921\n35406 50300\n2588 18965\n10506 18799\n57970 84842\n33695 35050\n22316 76902\n36257 88200\n34240 67047\n19036 35956\n12394 70317\n25737 63552\n48673 54377\n2364 3552\n1710 70257\n15538 73796\n18704 82674\n31559 74615\n36606 61519\n39125 90097\n27465 77104\n7315 53734\n18982 46140\n13798 90352\n18166 27022\n3719 9224\n41556 79971\n18141 45501\n25289 29402\n32264 67848\n13286 77657\n33037 37434\n5649 64591\n15873 18069\n4585 66130\n27329 76375\n53874 84293\n65794 72479\n27645 50214\n5625 63007\n20315 67061\n43929 91477\n62518 76240\n71989 79149\n33705 79182\n10934 16897\n47338 91520\n7911 39796\n69297 90403\n91209 92484\n66043 90056\n83242 92675\n20716 31730\n9506 85418\n9584 70734\n29576 65130\n85187 86841\n10534 38282\n7971 49350\n4761 15921\n46564 92864\n8074 28788\n497 25662\n4469 59359\n5649 81493\n20155 51609\n38438 66174\n1613 82624\n42680 69138\n34288 78060\n28697 60923\n26101 71351\n18314 71524\n26753 44666\n8967 54812\n15255 83359\n60014 61161\n31429 89644\n10574 92547\n37231 80699\n63679 83848\n25964 85209\n69455 89620\n37519 55667\n13787 16778\n19777 62245\n1945 48781\n17934 41370\n436 35255\n8770 54420\n18066 24433\n60264 80477\n34429 70657\n45726 66447\n53968 67224\n13120 80610\n34131 86681\n43743 80366\n864 83009\n49218 90265\n34337 76178\n12192 78435\n79129 81845\n35526 65736\n61836 73109\n1067 3817\n40471 75401\n39392 92199\n63323 67539\n12902 45411\n9781 19167\n43429 52390\n45443 52948\n10058 71498\n70752 83858\n9756 70034\n65161 65438\n50214 76455\n16570 76875\n32330 77768\n46381 60309\n22028 78930\n16537 75668\n24342 32297\n48460 82575\n17089 26314\n3760 5059\n83579 83879\n61293 88516\n18042 35168\n29179 89086\n17014 89344\n65398 88557\n53337 83308\n20606 27524\n27968 28724\n86623 89948\n40059 60370\n59 56377\n8022 28497\n5079 57682\n24315 33113\n26790 39988\n50481 67866\n9287 10584\n61457 78914\n31321 49829\n3808 21086\n34112 73525\n51902 67413\n33029 62108\n30320 85889\n40431 73760\n5820 51320\n18581 35005\n49182 80257\n31570 64921\n67001 89894\n38161 89811\n76345 92312\n15738 65423\n9035 49123\n28530 64910\n20163 38084\n23933 66553\n7875 81270\n67104 68443\n32550 92081\n24173 78240\n562 67966\n68578 80312\n28133 34966\n9058 55652\n67403 69914\n12843 21573\n57535 57891\n25057 66002\n66965 91500\n9984 24686\n53138 59632\n89657 90033\n19515 33416\n36112 40493\n56758 86773\n27727 37758\n24998 45289\n86184 88237\n12511 18568\n14954 73740\n44378 91568\n36959 79066\n19218 80645\n7185 51529\n75683 78717\n27073 51923\n46233 59550\n59665 75443\n33661 55518\n6925 67322\n6709 76483\n40597 61362\n48675 69098\n39972 68171\n26175 46101\n60402 76749\n27418 70346\n53575 88232\n28983 62488\n44901 66194\n18132 35194\n7977 37567\n47296 52071\n31933 40676\n922 91779\n41912 87216\n12823 84967\n3307 37024\n41954 50286\n2643 55850\n53512 72669\n5598 64979\n2945 55353\n63628 89058\n18583 21072\n68135 88831\n44456 88663\n1778 64176\n3908 89877\n35211 43796\n24325 68605\n49648 64226\n13078 61672\n2046 25922\n579 70026\n46628 76939\n49452 78863\n28358 88919\n18034 19204\n26001 92136\n17757 66698\n16661 55352\n15470 87408\n34253 42467\n59938 90976\n36547 77385\n78491 79125\n60961 64304\n72627 92411\n39634 73655\n48482 55759\n75669 82864\n57308 62476\n42722 73858\n18809 77459\n49843 67560\n23080 51007\n7129 80885\n35633 58666\n63767 71752\n12924 64705\n28532 43429\n32750 61486\n18454 58830\n42667 49107\n18987 90406\n29504 36002\n53146 58965\n28293 35482\n30147 30856\n41416 77651\n4612 41746\n53363 62424\n49954 53864\n3006 51454\n74742 83982\n29874 87817\n32015 50091\n28437 82655\n10126 87358\n20965 44295\n12889 44169\n38289 89023\n41294 89787\n9751 11851\n78617 82530\n73080 78207\n28197 60730\n70841 76637\n950 53136\n42302 56813\n38506 60984\n53472 82460\n6672 92989\n14880 45502\n60435 72654\n70045 73555\n7525 20231\n12903 43721\n4203 41280\n32070 46423\n11373 17418\n439 31485\n52355 64971\n27382 84812\n36971 90558\n35035 65077\n6461 56984\n5624 18550\n55133 58757\n36190 54228\n27527 47643\n52640 79247\n22938 83392\n16067 59906\n31289 34858\n21073 90970\n3776 35139\n58299 65190\n26970 91187\n5128 10611\n28071 90624\n11012 78197\n71625 91535\n7661 15854\n51120 80522\n55310 59266\n56667 63871\n35172 47041\n27487 35601\n57784 63244\n35968 38952\n35677 40144\n46935 72837\n21120 45920\n1333 14168\n9602 52079\n14022 43585\n17370 73584\n7720 70518\n12682 58593\n15497 18877\n52824 72433\n61660 87358\n78138 83753\n2654 25465\n37457 86868\n23135 66106\n34800 46018\n34621 60107\n51064 69393\n22740 42129\n44196 58885\n4422 35654\n20565 52636\n14349 72808\n46658 67927\n68355 70436\n23240 82830\n50486 68721\n5725 74828\n53854 83076\n19727 36297\n51032 78484\n59698 82272\n35460 47958\n39956 83232\n5434 37009\n83909 90543\n20950 29095\n59619 60542\n43192 75858\n72419 85586\n40684 80899\n2737 80504\n63720 79507\n55700 77736\n53947 63708\n43290 46764\n11013 70256\n42109 72117\n12999 33261\n1906 17125\n72542 80345\n25473 69695\n53881 78498\n15114 71952\n4261 58255\n35941 90165\n73887 90622\n60000 70811\n20828 57900\n6956 8245\n5226 65404\n3304 33655\n57493 59084\n6056 18378\n22148 32833\n31861 92017\n8500 73021\n42661 52479\n21624 23461\n61144 81256\n25514 29454\n30154 65356\n23150 87255\n3848 50667\n55538 84104\n15070 53369\n32998 73389\n59332 63076\n7595 57179\n38553 68636\n45849 46198\n36771 70691\n45378 75319\n6877 16821\n17272 75570\n61508 75874\n22775 64127\n19360 54334\n18891 20435\n60299 76548\n10615 91048\n37876 65989\n15565 69255\n30202 73808\n42525 61838\n20972 42652\n30265 63173\n70646 78276\n17828 59519\n19018 68337\n39051 74392\n22188 23276\n47696 58555\n5377 6452\n22931 40768\n21272 65519\n62525 91838\n14909 86115\n7671 86241\n31572 90970\n2230 66321\n16678 33533\n79643 84039\n49983 54467\n10056 55981\n4110 24340\n33767 87212\n25575 63591\n27872 60397\n60421 63560\n45890 47927\n68623 85607\n986 31682\n71982 72264\n35055 55781\n14466 46773\n89785 92459\n47586 63218\n78819 80283\n71641 76941\n33049 84790\n81206 84975\n53548 67585\n42462 46126\n5732 71414\n41147 91948\n27217 72019\n68573 90168\n7857 40246\n21819 29442\n1789 86634\n28718 31710\n46243 81494\n13950 37676\n39333 55394\n4721 67160\n22327 38034\n17097 72939\n5761 87782\n1785 12114\n36681 38214\n39026 42328\n21664 50643\n16074 60755\n54423 89160\n34018 87098\n12386 25733\n42724 47778\n50065 69586\n46128 70185\n38252 44796\n9738 53132\n29606 63794\n38151 65759\n54122 59906\n44178 87870\n4555 15821\n3611 48140\n25324 56132\n24543 26944\n776 83324\n6325 50716\n5308 69404\n24545 81380\n47268 63791\n54243 70377\n45119 74951\n5494 75123\n40246 66601\n37840 60005\n54848 79267\n26987 64515\n23840 61993\n42396 46624\n34641 76762\n845 87409\n10012 41146\n58889 93001\n720 83506\n37252 90352\n56576 73340\n46899 87329\n23116 72098\n22029 59300\n38153 51628\n4850 48955\n46309 48406\n55221 83344\n710 13462\n42047 89721\n20413 87546\n52743 72820\n43074 62879\n73738 87137\n25423 72559\n30519 62068\n53750 83120\n28307 89331\n6299 23053\n10666 50660\n41797 63022\n52936 92954\n17788 88276\n35179 46232\n44481 48014\n80715 92863\n13537 79940\n73793 88230\n41451 84012\n17968 37207\n75270 77593\n7089 72881\n23074 50137\n14798 37069\n52220 72859\n17999 38239\n12575 63864\n18839 67085\n46223 49598\n60187 70942\n6655 22460\n4776 83738\n5426 58157\n77121 91983\n76113 87084\n10865 88498\n28650 74568\n10754 73651\n49679 54861\n6978 57949\n4085 65092\n11076 88581\n5140 49560\n68151 81154\n61947 65835\n53804 83206\n10136 61556\n43508 68944\n70534 86704\n75775 77151\n58610 65777\n24142 42942\n42008 88257\n16636 22330\n30539 57133\n32564 60889\n18727 87328\n28851 83503\n2859 67020\n38558 62832\n18440 44301\n33533 75159\n44416 61815\n38736 55351\n1576 78592\n27406 91654\n70197 73403\n63332 73081\n9326 81976\n23686 64653\n11265 11633\n12380 60881\n7955 77171\n21021 91371\n21825 61606\n87272 88381\n47347 51860\n38890 72586\n50092 55795\n41391 45053\n33319 66339\n27667 85622\n13421 37148\n1872 12482\n19466 25746\n64788 77171\n59203 67276\n29338 42340\n82213 87179\n33194 33472\n29665 31518\n20879 65776\n85378 90676\n61286 73508\n306 50708\n23763 29610\n75240 80669\n71354 82037\n40229 80412\n64904 73975\n1712 5756\n17462 42038\n11988 19400\n18149 64057\n83070 85739\n29502 88202\n65193 72273\n47853 81237\n9482 59038\n61723 67483\n15000 36164\n23020 75253\n43511 47426\n14350 81392\n40206 43926\n12510 64951\n50401 76799\n57569 91563\n34061 53890\n24291 93028\n10918 46999\n26541 35143\n1283 5304\n21031 64981\n61765 88872\n12836 34326\n32658 64000\n71353 88246\n19093 28728\n7485 21036\n63071 80877\n7676 14553\n47114 84715\n3969 91911\n5869 16266\n34185 37016\n17745 73173\n11330 47489\n24620 87183\n43243 49774\n3545 88125\n13623 76765\n39900 45871\n33262 71282\n50785 68959\n25400 81153\n32471 65571\n34200 41862\n2100 7930\n10532 16772\n48745 84454\n27818 49223\n1257 48693\n23659 51442\n43771 45435\n53186 65095\n15199 63319\n13375 59656\n26877 55023\n64600 86272\n25566 45796\n56450 73767\n61008 87904\n35306 68226\n86157 87220\n28391 50593\n8819 68902\n11153 41045\n46812 80246\n1282 38098\n1480 51917\n63808 91252\n8622 43282\n44398 59908\n34663 74702\n14907 59865\n13418 57686\n17166 68765\n42646 73930\n20536 77774\n21942 59226\n40145 55613\n51058 91107\n24959 41087\n18232 84885\n29308 64055\n30452 45545\n40775 79887\n2977 44433\n49510 87842\n25609 70420\n55838 82021\n5911 80773\n13157 61769\n6321 88331\n69538 82244\n18139 36347\n8135 53061\n6305 13218\n25106 57708\n27019 30487\n19284 83178\n22008 38513\n18500 73452\n33459 66128\n54192 92124\n35290 64046\n45960 74880\n46032 70331\n10685 41482\n1060 51362\n72228 78446\n6388 83100\n52336 64432\n50688 77062\n42808 81637\n37076 58607\n63133 69936\n47176 80044\n57721 62455\n12861 63015\n9936 46717\n32908 35173\n50490 61851\n26976 59632\n67643 73593\n11364 37627\n5687 63156\n48883 92778\n16103 34136\n34007 39439\n37378 50739\n20829 81145\n9990 76480\n31699 38079\n54771 65901\n49833 78515\n17451 71726\n31645 39162\n30007 73758\n48138 56333\n45167 51998\n56083 79704\n8692 12669\n62999 67776\n768 19499\n20240 90926\n41036 62894\n27509 36859\n38118 47964\n47615 48100\n11781 38790\n67976 82948\n27761 39362\n27579 35884\n56898 75575\n21677 53823\n25924 50573\n4476 22638\n19249 66913\n62080 87813\n6515 54567\n8987 22388\n19834 59152\n20927 88550\n40295 45091\n17046 22958\n39824 92265\n56689 73562\n25857 89636\n46191 52863\n18195 63550\n62306 88001\n75661 87834\n18570 31741\n16115 19969\n2895 35041\n10462 43633\n24281 82867\n21134 51365\n33896 42561\n2067 64959\n62415 77760\n52178 91749\n14770 69004\n15013 16225\n57689 67540\n33164 91213\n12325 61018\n48366 60237\n65386 79113\n23260 77101\n31305 90422\n31328 70779\n42442 68094\n55522 57730\n28916 68440\n18662 59894\n7273 92001\n25766 80559\n32906 89299\n3288 49828\n58957 82891\n33900 41140\n49047 69633\n40071 59557\n51898 59150\n60191 83641\n54167 79767\n28327 67797\n30611 76204\n12365 69058\n66526 66806\n81127 89800\n24 44265\n32052 64055\n22202 83773\n83155 91671\n20633 24840\n6960 68766\n36333 91240\n18659 89635\n26854 55914\n63538 77245\n41624 89266\n10358 82827\n55653 56955\n43015 87327\n7568 27113\n54036 65968\n27543 31674\n50887 75613\n62417 75697\n35872 90247\n26525 42363\n28958 38163\n77979 90891\n18083 44432\n56430 59836\n32876 90098\n42604 89853\n3990 59504\n10943 27894\n26381 59979\n5339 40622\n43639 69032\n36530 38621\n60753 78460\n35430 48873\n16361 37779\n36801 64105\n59380 86510\n329 15740\n16750 75498\n75940 80457\n16126 74925\n15724 22564\n37127 53892\n33301 80752\n751 30360\n2836 79402\n50330 63064\n46366 73303\n24387 26434\n56786 71364\n12588 68598\n52734 76373\n35032 71568\n24242 53975\n67898 86254\n54591 88578\n28893 54694\n35533 51480\n16048 26987\n61388 85208\n26169 54804\n92022 93008\n56487 61701\n32968 67790\n26118 53690\n18065 32680\n23295 63964\n20791 67842\n31852 62347\n37370 74614\n27317 87635\n15217 85122\n36460 81242\n71229 74441\n17428 29084\n5522 67434\n11648 15771\n42856 61175\n25582 45491\n38269 66245\n31415 72957\n56368 68088\n4090 47221\n3653 90481\n66013 78034\n32657 65632\n23975 62407\n15240 52772\n26415 50075\n35873 60233\n10134 88534\n60695 62420\n21779 50891\n51898 65531\n34311 90679\n9466 21345\n49292 84360\n45614 78624\n24900 68234\n21166 87201\n36062 85206\n35369 77995\n21057 77834\n23337 92772\n69167 92311\n43625 52722\n40112 43671\n30598 90049\n77400 85415\n57830 87104\n14496 46191\n10507 19989\n22084 65427\n67794 85206\n16017 22274\n33194 50323\n28053 40959\n67941 68796\n14240 51758\n51011 84277\n38169 50333\n213 65444\n48385 72121\n21217 30043\n45322 58635\n11199 48283\n8573 13866\n27679 73574\n19105 39514\n17715 62196\n14560 71184\n6723 25506\n525 69333\n985 42324\n1552 31060\n13588 49526\n16602 57172\n585 66108\n11476 19247\n41223 63792\n7277 66177\n9711 50820\n64309 68398\n28832 76452\n70572 83850\n6543 29139\n35596 88544\n58854 67715\n26957 29403\n3745 58692\n51716 65541\n25638 31002\n55418 85673\n28548 62822\n37120 41982\n44747 85884\n12699 39822\n9538 29235\n128 50168\n55030 93134\n29639 47943\n42255 65476\n39413 71442\n43225 63027\n1251 85913\n85202 91406\n63512 68106\n47091 51273\n3086 59538\n29270 70283\n10095 58959\n2796 60297\n41299 48958\n34144 47709\n44719 86132\n22866 38886\n68121 75667\n17483 64144\n67873 92421\n7387 51211\n51391 79968\n55324 84383\n7303 74492\n44372 51788\n13923 50347\n23973 34152\n46654 66258\n1269 42616\n80610 87046\n8283 14073\n5512 77741\n30063 43560\n2155 55686\n987 34089\n60000 88689\n1694 45741\n65720 71594\n37613 88580\n42332 52890\n10957 91021\n18353 83847\n8587 60344\n36726 63529\n5817 88921\n20091 81224\n71404 83194\n43189 73678\n62687 90008\n8303 70709\n7946 20634\n7245 66254\n27288 85356\n29772 89800\n4434 91717\n4618 43817\n53562 82316\n56619 74381\n37929 77892\n86517 92543\n7003 61133\n13664 61413\n6527 81367\n61575 78516\n773 55940\n20960 65407\n1466 33980\n12964 81677\n60114 68364\n47882 51974\n1516 68054\n75026 79692\n41615 80050\n63202 92469\n47800 84382\n33749 66675\n8484 16513\n21428 34068\n45370 55432\n9427 56329\n19936 59555\n51172 51477\n35192 75010\n40254 58803\n2808 30117\n17044 18054\n11339 53827\n1440 85589\n47635 52901\n36362 51571\n34875 77015\n47588 84051\n4242 87595\n76935 83749\n1271 67494\n21860 34307\n74129 91591\n40458 53999\n716 54274\n20845 28093\n29013 34206\n89119 92398\n10041 19541\n38837 55659\n34409 71787\n17506 48857\n27791 66148\n30949 77558\n15195 41528\n18233 21152\n40154 92476\n31813 83840\n78994 81691\n34160 37997\n20647 66252\n35499 45358\n60957 81666\n1824 49489\n60555 92258\n62514 67871\n42906 46173\n18841 84310\n19729 44087\n23096 67432\n25728 30763\n33225 61019\n59789 86172\n5556 29808\n17749 22321\n20517 43287\n79319 92407\n45181 82659\n41760 67666\n533 11761\n50791 76311\n44867 51843\n6431 6574\n63025 65659\n19175 45241\n9597 37999\n14075 86065\n9267 38058\n6559 27426\n45313 90689\n5960 23119\n38960 68112\n36820 59364\n89995 90866\n67520 75699\n14812 85608\n25187 52497\n26943 87873\n10577 68303\n62545 72547\n24907 46190\n45433 48784\n19919 90354\n35461 89484\n4613 23327\n45559 49376\n37254 64189\n60356 62050\n2107 81317\n54177 83475\n21919 46027\n38703 75784\n8331 92438\n75665 78184\n16037 74490\n46753 77559\n16542 38607\n39642 81713\n12310 53296\n39852 57580\n27901 76518\n6062 34748\n37900 69850\n56180 57137\n36661 61599\n9524 45215\n20005 24717\n18100 72094\n77839 90129\n25792 62359\n37372 54316\n59733 85937\n28382 70463\n76721 89634\n52126 76477\n33780 66612\n32800 76278\n57102 63998\n25142 58869\n14458 64387\n34350 43907\n19507 83207\n42583 65880\n34 27487\n38613 78280\n55107 81552\n3881 36314\n29804 78635\n29565 29596\n53848 70913\n63586 76210\n8063 20552\n29714 55214\n32507 52871\n13519 59299\n50418 76979\n35784 51891\n39755 62442\n34503 92483\n42210 62065\n51105 72905\n19872 81566\n883 64450\n990 67880\n38996 51406\n43392 45183\n13560 78178\n46898 59444\n21419 45447\n16473 79077\n7252 90529\n69207 69464\n43874 77163\n25569 29950\n33309 36373\n3852 62206\n16922 75485\n6067 40817\n38039 53081\n8385 29521\n28479 60608\n56242 66186\n6618 22936\n2941 22202\n2435 40339\n18504 83628\n59448 84841\n13923 38158\n5426 20976\n3173 86900\n55182 89413\n24498 59852\n14439 22811\n24718 35862\n11102 66819\n28572 75265\n36028 59523\n31759 44798\n9418 81937\n40280 58574\n14948 92980\n21832 57189\n19506 37093\n68800 77521\n56257 82820\n5457 67152\n45044 63766\n22182 72405\n27033 42966\n16559 74389\n40657 74257\n50963 66435\n28757 33775\n66826 89212\n87528 92375\n14777 73718\n10169 41042\n24443 88005\n8231 70765\n24524 76147\n43026 62084\n54053 57245\n43255 61178\n71672 85230\n7588 72148\n36193 79139\n48336 84451\n8042 22977\n73352 74825\n51839 64013\n12449 66859\n60456 66681\n17961 84496\n7447 16464\n62940 79023\n56664 91939\n21967 88410\n61450 61629\n17958 88000\n72717 74370\n40759 53489\n45090 79325\n60753 76583\n16586 89542\n35488 70626\n60316 86644\n20372 73313\n15570 42216\n18681 47064\n48590 59135\n72413 90376\n13960 75683\n54001 89742\n34788 44250\n2858 20850\n27480 51133\n1642 11781\n18075 56850\n35215 65269\n62832 67201\n38233 45792\n10543 84451\n72622 79749\n30467 69185\n33833 61150\n21640 24859\n69725 77469\n38111 86488\n39624 58432\n82878 83321\n63543 78367\n9645 57418\n10998 83928\n38136 42029\n11728 42859\n3003 87176\n32766 89950\n39532 44286\n43221 89562\n24152 42260\n9137 74270\n31773 61234\n30271 53811\n34899 78082\n17166 20423\n57208 83150\n63686 74976\n69109 83179\n3008 43396\n1056 54476\n67424 79916\n20672 68101\n54909 79749\n35888 80168\n29882 87256\n34053 47687\n43307 78239\n30056 69464\n7127 80136\n60450 69096\n337 35807\n51136 54376\n28849 52711\n63750 70183\n21074 54092\n68022 77615\n36737 57423\n44004 51446\n25098 79080\n16417 59609\n11992 62825\n13888 27299\n7649 54718\n21345 53050\n16306 89698\n1993 7902\n34839 35957\n11389 46628\n27256 62727\n73554 82291\n24915 75432\n56251 80540\n16801 55043\n3837 46884\n28593 90676\n78897 83782\n58388 72935\n47562 64637\n52770 71647\n3051 8710\n29917 85601\n14958 33773\n7221 56775\n7828 81384\n72023 87468\n62684 86105\n40594 64869\n4525 28834\n11029 65811\n26146 87567\n47028 92217\n30041 30880\n12803 44090\n14522 79974\n53449 88592\n13312 19601\n15391 41622\n6737 40111\n8173 87013\n37948 62843\n88523 91187\n18990 84112\n2559 50729\n10541 28606\n36579 73377\n63141 89389\n58386 76875\n31324 74108\n13807 65252\n73793 77628\n5514 59685\n58628 92888\n26855 59101\n36623 81566\n321 42798\n2778 42450\n35166 70429\n44156 70774\n9000 32267\n9142 20361\n22840 54152\n15550 73360\n87345 91291\n19788 62650\n29771 54656\n68672 80969\n5389 57301\n19878 70038\n44078 76296\n18389 84869\n3533 80946\n40056 80281\n36905 91442\n45467 46177\n16094 83603\n60145 85081\n43543 78456\n10474 50252\n28738 44523\n35970 81441\n54915 77287\n22290 69047\n3182 81416\n10652 71004\n19981 66962\n62906 77060\n5178 87320\n20105 35239\n45916 79807\n18101 53210\n23941 38982\n26417 57896\n45078 90882\n19077 78400\n38920 76622\n39917 63998\n53833 83382\n33619 75057\n41175 83620\n76110 77705\n15569 49495\n2124 57841\n29 19128\n2658 57451\n22483 36121\n45339 52713\n46314 70524\n82875 86895\n19549 51058\n25168 50667\n44470 45074\n63221 63303\n6310 90961\n27542 53797\n34930 80070\n48806 65923\n67479 79620\n59984 90965\n7096 59145\n54850 89390\n36828 68192\n23603 76395\n40872 73946\n39904 40727\n10200 76220\n32297 63359\n78275 90596\n21248 73398\n4194 49869\n50308 71847\n77322 89244\n42006 78091\n7012 71854\n39178 46040\n2442 3358\n64432 72699\n50686 78975\n33488 51771\n35077 61787\n2495 86397\n2838 40021\n51931 71586\n72686 76670\n3808 67814\n23601 55185\n14994 81503\n35247 53234\n25639 47700\n37378 66602\n8467 10443\n48765 80916\n67429 87618\n31919 90427\n2794 66046\n1111 72749\n6936 19509\n49633 89878\n51091 69577\n1642 37830\n55412 82687\n49939 67405\n26524 42510\n9593 46441\n8106 61013\n19355 41525\n26129 76318\n47947 70409\n6246 85391\n30704 46836\n15884 54717\n13053 74484\n17827 49318\n37069 55531\n14365 61711\n41138 70242\n32727 74250\n5644 10259\n4674 59592\n11999 77627\n57931 80668\n78509 90327\n49287 58839\n21617 73807\n1280 79038\n26103 66806\n58609 63806\n15490 81941\n12274 38875\n13355 92250\n59322 75423\n2377 53977\n8229 47393\n26028 49083\n51100 73875\n21264 73844\n41150 58653\n19771 84003\n17547 44565\n32514 36669\n1443 59818\n7142 29582\n87230 91686\n12175 48510\n7552 36837\n79996 92538\n79459 85808\n54882 60774\n302 72393\n5543 70240\n35178 42649\n10643 91470\n33098 55736\n56327 78341\n61844 90949\n83038 92135\n6303 75157\n47303 68576\n24006 85897\n34490 71565\n63095 92015\n19444 42535\n47997 81726\n198 16711\n48366 53897\n27708 70419\n39977 65440\n9283 85207\n15558 83498\n53944 55902\n31542 49129\n21686 67914\n2548 32752\n49786 61546\n76894 85414\n24531 61768\n24268 67584\n49321 70528\n4063 44509\n27585 79562\n19992 21969\n7900 89485\n67537 73329\n817 5193\n48373 49812\n9331 18604\n38939 73835\n33876 73585\n6914 47805\n2296 75773\n34973 36007\n14569 29579\n22652 36509\n56797 91288\n39689 73862\n3064 55846\n18417 34229\n79340 83459\n23092 57706\n185 21646\n42728 47963\n38829 62437\n56947 65718\n6154 42533\n3199 63361\n43555 75052\n14392 41607\n8243 85827\n16205 88280\n10867 14563\n23055 39441\n14698 66489\n59920 73618\n41678 85354\n29727 32227\n2063 31623\n13137 26121\n18801 88062\n47126 89328\n69824 91537\n65474 68825\n7114 52160\n57262 69141\n28750 87243\n76980 80546\n29170 71778\n14397 78098\n30039 52759\n66958 84178\n45928 53766\n39817 70495\n39391 86351\n12253 34879\n42429 48741\n68197 86576\n25576 62090\n22304 74570\n15230 29116\n4474 85732\n58396 60465\n5676 67318\n19566 46791\n8599 86373\n16865 68559\n27945 29894\n46145 46962\n32465 60863\n18482 60961\n25390 87249\n14427 60516\n6606 51766\n82168 89573\n38929 58002\n12744 16419\n47635 88371\n39092 78832\n37603 47484\n10982 46322\n37761 88610\n29469 70981\n18056 71737\n50436 61181\n9587 51179\n14328 55610\n38634 79465\n8751 12362\n1832 85724\n21869 47421\n19513 86554\n57523 82572\n5212 90046\n6950 10025\n30845 55795\n46049 62813\n13467 29421\n10332 22199\n4179 25704\n4451 83914\n49248 85258\n12054 17704\n38947 57883\n21024 75679\n52683 81242\n17188 43062\n53348 91621\n38406 77752\n82801 89478\n9456 83345\n25532 91719\n69751 92493\n19104 68740\n43650 48215\n23794 64385\n16537 38992\n5464 33455\n62789 69493\n56065 67694\n14210 84210\n27042 28333\n22534 66103\n14770 54801\n16390 91159\n13719 32447\n4563 57072\n89352 92086\n22484 42623\n5496 26963\n40135 73242\n24590 82803\n55334 81566\n78750 82585\n10374 22397\n3528 16711\n29259 32287\n27161 93133\n35087 42644\n54329 83937\n33456 62898\n62997 63898\n51213 72967\n269 25017\n4940 33910\n25622 80316\n18187 65483\n59186 61299\n11978 76070\n49779 74663\n32701 69345\n17670 34510\n56066 74738\n75559 77804\n13351 71914\n739 81191\n3784 5739\n8802 82475\n33306 84673\n48216 78272\n70061 92813\n17810 32869\n47628 58276\n18508 19072\n52317 54563\n56355 56529\n23760 92577\n41759 45151\n68668 90454\n9749 53862\n48342 51739\n62494 63966\n39920 42379\n66597 87484\n64606 80763\n70964 87508\n28534 41728\n15568 48502\n42563 78258\n14537 59616\n61895 67840\n67015 76323\n48293 54587\n6258 7191\n35969 46259\n2544 9116\n53814 76237\n47851 55549\n41003 69876\n51722 53329\n27767 33340\n19209 67513\n44040 60795\n15765 20323\n17188 72572\n25431 53346\n9421 54238\n5896 22181\n9980 90039\n41286 80080\n81429 87972\n5885 19478\n23002 61832\n19020 92120\n27501 39237\n56643 76781\n61894 73297\n58328 72159\n33723 83973\n54101 63339\n24417 28129\n24776 70565\n32182 78090\n9141 34762\n3985 48570\n10371 64580\n18115 45721\n30560 31141\n29402 87228\n14716 27357\n2262 47516\n43038 64332\n72869 74473\n9524 91410\n21766 24289\n31902 71249\n61642 66308\n34877 60334\n67499 67717\n49767 84188\n1227 63989\n59803 85543\n22699 78142\n24708 33220\n33306 58541\n6607 10407\n58607 71688\n21231 48148\n9482 30285\n58407 86467\n60535 87112\n19950 23158\n14024 81818\n21742 86473\n13945 49242\n9117 72774\n17354 83398\n6054 38510\n63622 83651\n65805 88568\n47224 78320\n13232 69919\n37543 92451\n24562 29916\n14772 69457\n25377 32401\n19883 69742\n23456 64395\n15440 85652\n22228 86674\n49756 56617\n24611 86063\n72704 80399\n4651 90170\n31943 70526\n48670 81362\n4962 80329\n37055 84267\n2441 18770\n39533 41680\n48035 55055\n26943 56294\n12232 83160\n78107 91932\n68634 80565\n29093 53885\n63750 72042\n8540 86159\n24599 52497\n48555 60649\n20545 39103\n1770 17764\n39826 89668\n4468 56021\n4904 53067\n57228 79721\n18727 61272\n24988 26170\n84693 88403\n62308 75463\n16935 82084\n76398 83292\n44129 89330\n65967 86669\n18205 78246\n82605 83051\n29302 36657\n17111 54402\n56072 69727\n30070 41516\n50902 86193\n29644 91077\n39604 44315\n5149 50043\n17886 19008\n67769 72521\n23768 72913\n86601 89506\n41431 57331\n25612 86682\n38521 48278\n34719 74524\n28368 62209\n20623 81931\n83958 90047\n24401 34423\n61114 73856\n77315 86546\n17533 78559\n36841 72844\n30520 69558\n48340 69910\n16255 38956\n16382 44525\n27321 36345\n72815 87752\n88 30659\n3760 43038\n13395 60986\n14094 65283\n44473 54489\n12225 85424\n12804 72321\n48359 64355\n20039 76632\n55048 59765\n37148 47153\n15959 63387\n9797 17322\n23316 43531\n11751 44895\n17075 49444\n29790 51029\n61018 88374\n37133 40432\n58185 82944\n32386 37791\n9470 65292\n11855 19488\n6036 55098\n1651 62119\n14151 19293\n25854 91196\n40306 91887\n15073 68525\n4704 28803\n73084 88507\n67110 78678\n27182 29292\n181 50951\n70817 78217\n83649 88408\n24795 77043\n55159 61869\n45048 66926\n16285 31499\n86407 87295\n4193 26705\n11008 39100\n58950 62000\n76703 80972\n45616 67479\n20642 73233\n30347 77715\n19857 74455\n19239 20801\n55739 89516\n21296 54346\n18275 36737\n23056 61774\n39002 66591\n13106 15550\n20111 41496\n30516 61468\n65941 80657\n51028 55943\n59139 63019\n50283 68719\n28072 41651\n11630 46709\n5437 54396\n22231 53825\n57096 64052\n60422 79575\n18256 89519\n16887 33919\n13787 16934\n21282 56537\n37031 65080\n70541 92137\n30146 49303\n77688 84537\n48416 49496\n16434 35058\n15739 73663\n54819 79661\n43055 46481\n59357 71407\n12410 26696\n11646 73029\n21289 44913\n44052 92206\n11575 88209\n49497 71476\n16825 21160\n32695 54222\n1044 58298\n22259 35776\n29170 46988\n27583 92908\n49256 50252\n15211 78003\n72930 87602\n16848 27836\n34231 59219\n76384 80829\n48937 81456\n40296 75564\n60828 78255\n24935 53670\n14310 43732\n89968 91313\n7433 47906\n29799 41660\n37539 75264\n32388 80577\n22560 34224\n35428 58412\n92385 92439\n51409 78192\n82007 88997\n76950 85102\n30879 72936\n54487 69388\n28339 32018\n14876 79808\n25478 55986\n9398 55212\n302 67430\n4836 35650\n38855 85458\n15102 63476\n67480 71914\n20494 64501\n12256 14472\n79144 82401\n7592 42016\n9417 29623\n28893 78556\n9031 69215\n66318 70152\n30086 76812\n7979 10806\n61063 61962\n48399 79318\n26376 32869\n22855 74119\n13079 24507\n18398 36021\n17935 52894\n77868 91800\n19099 38892\n9782 59000\n31404 73689\n70934 83723\n26085 64149\n39093 75044\n22125 65327\n9315 13907\n31693 85082\n11327 24019\n5263 16712\n60428 85289\n40423 85141\n35849 64890\n7610 62002\n21197 40667\n51901 60082\n70612 90289\n21695 67770\n37952 81014\n10179 26528\n23465 88925\n23962 79057\n37993 84182\n69435 90097\n9270 55572\n40523 45319\n18111 27555\n27559 31424\n20830 84458\n39682 86807\n20002 61918\n49880 62194\n27744 80649\n27014 76555\n49037 68391\n37619 56863\n6960 37991\n41947 46845\n45455 71601\n12258 29493\n75282 87147\n19406 43368\n879 11467\n29590 88603\n2006 69284\n12761 81638\n41290 45496\n43102 51319\n56142 66599\n24519 61566\n2919 56556\n6467 8838\n13819 36987\n10978 73495\n17892 69263\n32498 54891\n48684 74000\n23940 37353\n63356 71434\n4242 46946\n55015 81079\n17402 36257\n48536 82379\n48983 75188\n14846 24989\n26546 35456\n4187 91765\n8557 54122\n34648 46708\n26061 67148\n18966 63707\n8262 70021\n8664 15536\n36566 46178\n404 65556\n1298 24991\n7154 86552\n55409 86694\n12455 52962\n54763 76478\n43411 51884\n72791 77286\n5864 63990\n2965 58454\n6325 18220\n10467 71267\n17855 54797\n30349 92654\n14054 43130\n26847 32467\n61425 76678\n31738 50461\n83988 84804\n13940 84018\n48400 50561\n46352 83752\n68831 80959\n11375 48842\n2845 72412\n18662 66007\n21089 85214\n4205 8542\n46212 55786\n23216 31361\n26236 63323\n25721 73356\n23649 44707\n51481 89497\n47323 71114\n28277 67616\n5077 26063\n47539 84462\n35534 88288\n48178 82019\n37041 60365\n1671 10041\n28135 68872\n32116 90964\n15729 62420\n11582 16486\n30542 77673\n22028 29539\n40345 76490\n41889 54466\n33330 37559\n39854 45302\n26497 86309\n3632 85370\n19246 67362\n31077 38063\n19283 19558\n56962 75888\n57860 80143\n28952 39163\n16387 43219\n28912 84306\n62205 65266\n26680 59216\n25818 79453\n43755 85899\n21022 77675\n32997 85157\n14877 74648\n11884 87729\n2404 81984\n51160 69076\n4232 18363\n47045 63621\n40441 46588\n16577 33940\n1494 37308\n35855 57436\n20322 45215\n62749 71720\n16756 77664\n999 56349\n23238 57473\n8189 13725\n6465 50135\n31284 32047\n42555 60617\n27511 46004\n49978 62121\n48087 61928\n18984 38058\n13769 85724\n22419 57768\n46899 49923\n14115 83813\n44153 85699\n26189 79770\n2320 40896\n9873 45401\n19110 74731\n19915 27869\n23357 46961\n1391 12596\n27170 66271\n37372 70921\n61953 85766\n26357 43903\n21513 28813\n42100 48160\n15621 38675\n17555 89515\n66762 84567\n34875 75977\n24104 45945\n56390 72508\n4269 33738\n2591 66610\n38279 46939\n60318 67117\n24699 49357\n17402 46023\n10226 28467\n4590 84316\n61272 84188\n2539 56645\n13725 79406\n28868 57395\n19806 56471\n23243 90266\n9921 93147\n32754 88432\n23550 72275\n70820 78663\n81007 81570\n62582 67007\n81073 81829\n36619 53437\n12118 49355\n55069 69738\n11934 33239\n31476 43409\n24246 57885\n3178 67825\n34528 62237\n11595 78570\n41538 50073\n7121 61189\n9097 39698\n43861 53741\n40529 51897\n50350 84600\n24933 69206\n37535 41969\n49150 73006\n13224 37253\n28 82120\n60490 65781\n56571 60563\n20709 46028\n35873 66857\n8198 78015\n20379 38393\n15206 67265\n60568 87155\n3358 30997\n2493 9371\n27267 87304\n41976 64320\n61124 66922\n21651 86869\n7313 14766\n83655 86144\n6147 87199\n22758 49168\n53189 83498\n22775 74626\n32683 76331\n4931 8979\n50159 52232\n4479 6741\n68423 90345\n13069 35129\n39159 69451\n65112 74760\n45733 83934\n7841 92699\n59772 88132\n20667 26667\n37408 54923\n61385 79239\n8749 30976\n26727 29582\n19939 30167\n35725 90819\n12553 72487\n10836 17010\n49050 92140\n30992 73016\n15460 89205\n49401 68529\n37323 89687\n11197 36594\n54351 77037\n46874 83558\n56548 65836\n20132 75375\n3830 45967\n47625 73803\n81304 86588\n72171 82396\n13001 27621\n19014 28083\n10072 54493\n32041 49179\n13969 70837\n48715 71420\n3339 24654\n25703 78040\n480 34875\n23961 25067\n4846 16751\n2603 36747\n30411 86737\n32229 38047\n20199 27606\n14217 30867\n37513 76612\n1794 29654\n12612 15900\n958 85215\n44764 54800\n30598 40665\n19266 51128\n43563 53744\n33959 45708\n17972 75755\n32661 68197\n71188 73274\n38629 41261\n46793 87721\n26949 86004\n20442 56488\n17179 30604\n62134 79887\n20772 21400\n7631 69997\n28910 39239\n24790 40925\n17906 70001\n23413 41935\n43929 85040\n385 58411\n21359 42407\n50978 81756\n23167 78079\n328 80670\n74993 92383\n58182 66652\n84394 88111\n69644 80781\n17938 85540\n9187 56302\n5318 28265\n41233 66326\n19267 42513\n37668 80206\n21702 22876\n25965 49028\n38698 91829\n55434 74790\n66886 84702\n11796 80863\n10708 44323\n37783 83350\n8790 33206\n22610 60431\n47624 84024\n5958 92056\n21008 48923\n22711 83235\n79390 92358\n15982 63987\n73022 87600\n50895 66339\n39160 39401\n22974 53893\n9678 23553\n69603 81476\n57284 84053\n66489 89169\n8870 55395\n20842 81801\n6122 62300\n37954 71579\n51702 51904\n43405 74875\n67327 83407\n32703 78390\n54636 57159\n56217 77221\n16842 88719\n7436 10323\n2472 16702\n76009 87929\n77377 85779\n6384 60263\n4496 15580\n70540 75017\n58804 91670\n47779 92487\n37987 73305\n43676 86556\n67273 70484\n31651 59878\n16719 41224\n20906 54286\n25102 29451\n64076 88615\n61914 77389\n5797 6281\n5537 14250\n40406 82001\n71029 72470\n11578 72138\n25164 68825\n26230 37996\n4702 29233\n7113 79034\n53079 76611\n66857 77153\n26847 88840\n59840 79859\n29272 29385\n56161 56608\n1340 50911\n35728 57436\n17341 23218\n23746 86467\n19406 47341\n24588 30851\n7818 61240\n69358 74993\n12115 47924\n23340 69506\n21914 22294\n2761 3472\n41155 60777\n62032 82942\n24754 65016\n58494 83047\n65950 81400\n61686 62696\n10160 46077\n56982 71721\n69196 70932\n5969 15961\n59813 79742\n76089 91539\n72676 87047\n3926 91163\n80310 88358\n52567 52702\n36066 62855\n37454 59321\n40169 84364\n30690 84025\n41584 80053\n4669 87910\n46098 87992\n51513 79181\n8482 55246\n4843 33060\n31738 63992\n65013 72266\n38224 63840\n10462 56316\n23093 45460\n25565 78554\n41100 56019\n4813 65235\n2037 11977\n69844 79879\n6728 87364\n19911 54030\n13608 57605\n33490 38149\n57074 57902\n46818 60645\n44068 79718\n75822 81766\n29146 91976\n4307 88225\n61436 65855\n10249 65306\n33844 43486\n33731 82604\n51982 83778\n21875 33030\n73135 85747\n29914 33767\n16541 30688\n72616 90441\n64959 84150\n27500 70355\n30234 47963\n67786 90746\n5119 62452\n54435 69206\n63476 83260\n5124 19360\n14445 25481\n27133 79565\n23384 79698\n62059 73700\n69027 83945\n11884 90525\n27726 45485\n63891 72699\n13279 71605\n56496 61111\n10355 28948\n15557 70664\n63236 76197\n61518 82402\n26797 62062\n7572 18429\n14752 75858\n8320 35595\n74524 85848\n9681 78150\n1857 62378\n30358 91663\n18719 21834\n15513 19365\n3337 92546\n38169 47416\n10640 47027\n20239 22772\n7442 55652\n49923 55195\n1030 91563\n80723 81032\n40847 57941\n6906 75349\n9491 46989\n13433 67362\n69489 89934\n13841 57419\n52194 81264\n10398 14697\n16930 64304\n27787 40474\n21780 40282\n2906 16333\n21981 71408\n4452 63508\n5935 40608\n68804 76455\n41602 91351\n47943 73677\n58131 76787\n32169 51373\n57613 70006\n60795 70854\n26325 39493\n33608 84354\n60322 69125\n47002 88270\n55643 73657\n47860 48489\n81746 83377\n63517 76984\n40449 81759\n14512 42936\n3764 50209\n51889 69375\n24116 62775\n22763 49059\n7255 42552\n57385 72591\n7020 78967\n37992 89889\n58772 83598\n17334 79172\n6293 65749\n36647 52691\n45587 77278\n45439 67746\n33463 92590\n8706 44985\n1959 18109\n38230 64752\n30274 56300\n9781 50306\n35273 59548\n22567 28901\n5018 63835\n974 4253\n85516 87442\n11978 91905\n59757 84030\n6575 57400\n44853 86753\n8995 23162\n26746 52811\n6816 82464\n14347 82819\n42717 57496\n11238 57777\n21767 27668\n21663 44203\n27867 44550\n46676 80834\n31883 65545\n26765 67354\n39293 41193\n5723 89342\n16196 26453\n18239 19651\n1951 73333\n29276 52904\n13071 17345\n6412 83557\n51456 84609\n33435 67671\n51504 67798\n9482 80900\n49607 88458\n9010 79403\n16115 78335\n1959 41060\n20206 76311\n5763 31723\n24020 34703\n2901 91907\n76311 90646\n57519 67857\n5780 56861\n16562 92533\n63555 73295\n56328 79756\n74728 78211\n30401 37298\n1301 71548\n29466 61953\n6585 55683\n38374 63044\n73242 92675\n72759 80941\n5978 78584\n436 34036\n71100 92913\n3172 45711\n69195 79714\n36227 53013\n33253 93074\n62013 71155\n68228 81667\n32394 83949\n50073 87905\n45400 71518\n5892 65046\n40178 78528\n51374 83335\n59607 80120\n27181 90269\n22455 52982\n61904 84096\n41894 58528\n14635 31831\n1800 25430\n10310 18695\n63934 86864\n22362 69024\n60851 70065\n29253 69884\n3464 17295\n46345 75201\n40901 86771\n15400 71545\n12343 22133\n36610 45581\n20995 34282\n81425 88577\n49822 87583\n31820 87304\n57801 67722\n53581 67055\n13694 46084\n45895 57464\n18128 21381\n41677 42198\n16115 27901\n21023 70825\n9545 46515\n35344 56294\n42732 72899\n46374 67240\n38643 70320\n22783 79063\n53918 62904\n30361 65674\n35122 90572\n718 61190\n33303 38340\n297 64525\n68443 72247\n3372 33486\n22 39864\n65064 85730\n48933 62467\n28744 52324\n57131 90169\n26706 72652\n35278 48977\n2986 36411\n15056 41777\n10410 73184\n37079 69203\n48978 91731\n10768 58099\n60655 72445\n82186 92444\n32154 86284\n45572 92110\n29384 67314\n75786 91469\n2083 22176\n24364 53041\n69765 77260\n1801 19008\n32445 54915\n19696 79439\n30407 62958\n34056 54682\n36337 74598\n11342 13067\n50393 62704\n36135 84789\n81331 82953\n23707 35153\n43325 72520\n42089 83194\n11690 70735\n53149 87133\n42997 87613\n44985 85362\n15712 83315\n37613 81458\n26189 61568\n58713 70311\n66818 90853\n48919 49507\n25476 64501\n85682 88131\n11444 37690\n53634 55454\n19726 26235\n80423 85897\n76194 79619\n21481 91976\n33320 35589\n39307 43153\n42349 72527\n72866 74587\n19527 20043\n38273 61923\n18163 62212\n24026 56305\n73296 90151\n4325 25367\n29587 71201\n19772 48337\n8414 75652\n57859 74325\n41299 91098\n22447 35933\n7957 80513\n10261 19913\n21695 84690\n23289 90303\n3649 72079\n60685 73503\n47694 66279\n46083 75529\n2184 26160\n27321 69749\n32091 90650\n22118 22989\n22264 39728\n33358 34433\n10213 74702\n76928 90958\n27797 86157\n36716 44994\n15373 57605\n6206 22854\n20063 70456\n61036 82983\n51673 78097\n58513 77303\n14659 87257\n778 82513\n35902 48365\n4052 43543\n75789 86406\n43334 73706\n9353 92976\n61582 71785\n37638 72830\n38813 84369\n79930 85897\n275 28455\n9295 41577\n49912 66074\n519 21890\n2749 92783\n3296 84373\n25310 32061\n65661 70626\n33345 56086\n36679 70681\n60019 75534\n9903 15723\n15009 47189\n62108 65386\n16558 87178\n83532 84060\n36730 38916\n50512 62747\n8700 18691\n20006 67863\n39436 89632\n6945 82415\n65589 66222\n26905 72520\n65214 79464\n3372 82125\n49113 53633\n19716 65191\n42357 67095\n11132 51731\n85171 86810\n2936 14892\n12526 12884\n29834 38161\n31345 89014\n53317 71724\n2160 80707\n3520 68382\n38124 62608\n13670 70266\n67974 91456\n25937 58045\n5018 50797\n29708 88900\n45473 58332\n39645 92016\n39271 42061\n20144 20758\n3719 12507\n20433 82658\n6528 12375\n27065 42700\n4854 25823\n23323 66814\n77547 88422\n32781 40918\n33742 82762\n18963 34922\n8730 57552\n53044 80748\n25594 63195\n12763 27416\n4367 48364\n59282 70735\n6258 66873\n17001 43643\n36407 76256\n1745 25334\n44366 63211\n28668 51424\n76674 91484\n18905 35745\n45564 56918\n50800 62204\n28063 31048\n16951 26401\n45572 61293\n32369 36504\n34671 81875\n71884 85916\n61836 80226\n11836 23537\n5691 93076\n4572 85631\n50493 73021\n5833 28844\n6512 10488\n26213 27264\n4963 64966\n50235 68590\n11941 74017\n42333 54991\n5599 63094\n19264 52507\n46762 61928\n40417 92959\n11771 63187\n49290 57863\n14478 20032\n12774 30456\n1643 66926\n16769 48514\n59324 61313\n85789 88270\n26143 54473\n5328 86555\n8105 32442\n33620 61168\n21422 45433\n53279 56562\n10206 56435\n5939 43298\n34911 41212\n23255 25495\n67464 77622\n48549 67910\n53279 55649\n16390 20493\n2606 6575\n27195 82911\n35698 36720\n5210 71888\n37275 70407\n2724 15362\n37804 51897\n6676 81926\n1348 23827\n35320 48419\n36065 79092\n82941 86175\n73300 79904\n502 11781\n36031 79920\n53494 76812\n85327 88276\n74541 88378\n65138 89391\n4828 9507\n29549 59351\n12122 40407\n29488 74522\n7671 35153\n7230 85139\n32752 32980\n8792 35384\n83493 90968\n44579 46494\n59819 74124\n31143 65132\n50834 82926\n677 21214\n60865 73713\n16092 17246\n74849 83694\n70436 82712\n24186 52547\n85647 91497\n12939 37731\n21121 52772\n78511 92060\n6020 14550\n4644 78986\n12001 37555\n35287 74218\n6827 37458\n28473 84955\n11519 50514\n18940 91974\n18951 84048\n85443 87213\n44765 58765\n49413 71131\n12738 40310\n1055 91039\n38505 44058\n1294 56533\n44787 76666\n67156 75395\n3498 17880\n17556 29154\n29201 49325\n21260 42567\n50342 74073\n38202 41845\n14518 35524\n19006 63685\n731 89545\n30919 75675\n27182 89398\n76994 80226\n67515 76875\n56765 75157\n11241 68711\n35226 60708\n5697 30101\n71609 72169\n3450 73208\n10203 91586\n29934 74953\n7465 83871\n11231 91380\n67826 74916\n27509 90990\n29351 44280\n7550 91814\n37335 55079\n10026 69509\n21238 85529\n63109 81048\n36366 93126\n71372 81336\n80329 89796\n108 26595\n24587 43850\n27590 66434\n54154 90812\n9376 49316\n31476 70522\n20261 79483\n91048 91740\n6837 36149\n17316 87027\n29311 36428\n85860 90673\n64297 81449\n28844 68010\n34411 82923\n33545 87959\n9796 84156\n40996 42026\n4610 24227\n24931 25054\n21246 84405\n18119 85476\n31291 78225\n19211 86186\n75537 77244\n37165 91380\n18162 22163\n2878 42167\n11200 20976\n61028 64362\n13379 90672\n68108 77320\n23500 91220\n193 15037\n54513 82659\n19446 68462\n39991 56682\n38616 57213\n18295 46346\n7756 83621\n23507 52449\n25112 85941\n83766 88842\n30647 54650\n62354 64271\n33055 77279\n16782 62837\n32227 52236\n49434 66033\n59745 61941\n41076 44977\n20323 33253\n61864 84513\n21645 79553\n4902 11474\n10272 30684\n50223 81186\n22575 87961\n2220 15011\n10963 18279\n40342 78976\n5783 84178\n28568 70256\n61103 87564\n32589 37700\n50830 84056\n39879 68768\n12534 74508\n6885 79277\n54436 88946\n7742 92857\n11575 51310\n37432 73997\n54811 56561\n69955 75249\n28637 76496\n36119 53601\n83507 86715\n5023 46047\n2761 69373\n18519 66767\n18653 41552\n78587 91753\n87975 91961\n50000 70106\n85368 85752\n33827 65427\n16486 79166\n3910 24844\n404 44775\n35875 39498\n19151 24592\n41083 88187\n21408 67320\n49398 75147\n12293 13030\n88004 91026\n72064 73537\n53931 86992\n13549 66943\n19850 67367\n70979 75761\n12316 32610\n55218 77532\n32604 51343\n29928 39817\n43069 87881\n845 23945\n79316 85423\n39969 89140\n39846 79880\n41605 79336\n29025 77808\n32760 84687\n78141 90789\n22762 45758\n24432 90984\n25722 61579\n51751 70724\n25673 85063\n185 65280\n31122 64522\n15673 71258\n29911 67148\n55587 82339\n16744 60108\n63825 66339\n19658 69009\n6869 84226\n46682 75198\n24429 88142\n28062 90920\n26203 80416\n90275 92236\n39091 60618\n2790 36411\n17991 85667\n14448 20807\n54713 86327\n55565 61669\n4504 43224\n6697 56341\n86950 87904\n11963 59777\n22066 92458\n35661 89674\n22459 26163\n1275 72631\n7376 50330\n43528 50230\n235 5419\n5281 85013\n51344 91724\n22268 46635\n7222 66972\n25964 31177\n71371 89830\n50937 81140\n18883 75775\n46911 72806\n40270 53562\n48399 60633\n32441 60587\n34306 54448\n36715 87268\n37048 58094\n5998 37620\n10431 83650\n59562 68397\n9171 89108\n9712 88952\n4624 47112\n8507 45574\n46899 91917\n49875 79366\n27708 41443\n13001 18130\n68258 79049\n24736 39793\n14968 63568\n23717 66059\n20074 21675\n76604 86021\n14015 55749\n45223 66692\n40049 75668\n2350 81861\n68650 76813\n6634 70665\n1190 16813\n61885 88377\n59490 88926\n4167 19241\n79020 88910\n48185 77071\n33 88940\n21086 21785\n68525 83435\n1538 43945\n31665 33079\n82421 89501\n19105 68804\n53188 77212\n45735 80445\n12800 44468\n12700 90161\n63167 86271\n19360 43098\n18609 38136\n22318 43156\n1598 36734\n55349 89741\n47115 86872\n14837 73601\n44506 62480\n18283 82302\n41851 70128\n43069 45852\n21296 65335\n58564 92253\n20492 39162\n39649 86546\n1737 83136\n46907 55936\n18981 68531\n29824 77484\n44456 75684\n19894 34298\n48220 90948\n34289 37974\n29168 40227\n55415 66069\n47904 79628\n11612 17463\n67426 85621\n48953 53652\n26234 43011\n36770 67578\n51516 72111\n27746 31838\n11740 73140\n21243 91720\n28366 36387\n28415 38147\n33269 85012\n43653 67356\n66047 79690\n24724 69535\n25428 83683\n2875 47925\n52147 68736\n13051 60007\n57818 88911\n28100 47053\n30142 87511\n45006 73697\n45266 81279\n49532 72376\n18029 52713\n21306 51366\n56617 86255\n61514 90898\n50641 93136\n678 76252\n16654 50208\n36547 62292\n25401 34017\n62333 80597\n12398 87791\n10187 21294\n24748 35080\n54962 83718\n5894 17770\n7384 13081\n6045 42954\n39327 62742\n84226 88901\n66892 86564\n39319 71475\n42488 44949\n2471 75643\n27151 47927\n11772 61783\n25497 69355\n60872 91310\n19103 90364\n28947 55130\n29778 82881\n50094 65947\n20350 56002\n62539 76208\n74809 90052\n33941 53012\n9048 48621\n5286 57637\n24616 36623\n43362 44246\n12458 21107\n5018 16435\n15995 70706\n40809 69423\n44329 59597\n81842 85558\n9995 46177\n39569 75400\n45122 90157\n5283 35227\n28230 72802\n82748 87430\n6035 45853\n28473 55280\n47286 92891\n61884 68097\n69932 75005\n61650 78400\n34909 36946\n72534 78952\n21839 34382\n10099 60446\n57100 58531\n52472 73113\n42689 89806\n37628 37896\n4357 91147\n76765 90952\n7927 33773\n7681 41614\n8087 88096\n14159 56108\n69299 74662\n66079 83925\n44181 66460\n28080 78984\n42254 46399\n25706 53481\n35130 38528\n73399 90576\n8646 64544\n7201 58351\n85705 85867\n17201 72529\n22359 75866\n57902 78855\n11385 64686\n13233 69198\n19237 23618\n71654 81234\n201 55995\n28499 70318\n54047 74093\n79009 85647\n27396 73417\n37065 59960\n9498 55110\n21712 55733\n31862 55306\n43482 48117\n21339 83219\n6458 54157\n4258 23535\n22623 68752\n38232 45156\n13178 32780\n30138 41047\n83672 89379\n25950 87850\n62096 87122\n65750 84591\n6198 13894\n7411 49768\n64725 72184\n30901 67752\n48781 60602\n66860 71337\n64177 69134\n21442 79333\n54085 90789\n12410 92149\n78707 84474\n18271 40579\n27908 56832\n61751 63972\n35397 35517\n14844 37115\n30518 56635\n43921 79781\n11850 58017\n32976 47107\n72040 76955\n5832 53871\n58341 81542\n65803 90920\n1767 70010\n17434 40489\n15793 89905\n17617 80114\n8094 91676\n25607 35863\n34392 76718\n32050 47280\n38676 66385\n23390 25154\n60109 78919\n29043 52354\n2943 77201\n25566 58122\n37382 88418\n80306 90803\n14767 78927\n17707 70223\n60945 74040\n18762 42401\n71922 72475\n13729 41696\n27790 73094\n34678 92793\n3101 87983\n13508 53169\n51682 68236\n4052 33768\n9865 84001\n25265 73412\n28441 60587\n69417 88929\n2442 36298\n33387 82721\n16758 42453\n10464 14412\n6406 52593\n66689 81114\n7840 91029\n54142 55019\n37000 51728\n20230 92488\n26079 70830\n14511 55669\n30384 89910\n58614 75001\n15231 49488\n8578 67182\n28874 63304\n45967 63380\n63218 84135\n11493 58900\n77264 79757\n1518 66123\n58381 82516\n36127 80575\n47543 82134\n50590 89954\n6813 74933\n55956 58934\n28470 80426\n19285 67673\n37353 82294\n71953 86385\n30173 57466\n35834 60310\n23188 65892\n35357 76579\n25257 75310\n14708 26534\n1 37832\n9805 29903\n27070 37799\n6237 21428\n42634 54409\n6969 11578\n19503 32845\n2403 67712\n7818 48861\n29410 70722\n7143 21131\n44055 86683\n47094 47440\n37726 85426\n20907 30225\n29855 64474\n18172 87260\n79461 86127\n63252 71872\n27279 38045\n22328 78144\n49577 66266\n32595 77721\n52992 76654\n39638 73894\n18550 55423\n8782 77022\n18510 44245\n16811 32529\n9456 26824\n69946 86512\n7062 86217\n77790 84662\n15597 91367\n48771 64251\n39820 88372\n24157 81793\n20768 67203\n27676 35040\n49451 85519\n12481 89508\n81766 88235\n31257 60541\n46357 84018\n29854 59277\n74556 77163\n71137 81950\n33291 89672\n61196 65487\n21069 43726\n20670 26922\n58249 88348\n35257 83891\n75038 84960\n31718 54133\n8630 86460\n22497 66224\n14517 18679\n34572 71623\n17799 59702\n19087 20292\n60943 90530\n30484 68276\n30910 80006\n74812 75450\n24325 67692\n20063 87482\n2519 19345\n77893 88943\n20295 65831\n19060 59318\n8983 61820\n62359 81898\n7513 55970\n17601 56212\n54687 62294\n397 2989\n39746 39787\n29144 42708\n48290 78011\n25562 54791\n7731 32927\n14966 15007\n4143 4914\n7064 62322\n3628 89444\n54 57760\n25713 50712\n26028 35548\n27334 60721\n25232 92264\n6094 53938\n31644 37569\n20720 79529\n32728 48629\n33374 86731\n11164 35609\n28456 64654\n34620 70462\n28552 91294\n15571 61195\n26705 83329\n4457 69220\n552 24599\n21027 28601\n31105 61005\n13409 47053\n19490 48853\n6895 57252\n45117 93007\n9769 46008\n64517 82264\n51370 66645\n164 61756\n20860 86921\n3591 28121\n48364 83351\n53688 62927\n42146 48703\n61641 62017\n62030 80420\n41084 57712\n14031 53576\n27049 63541\n15623 28397\n3217 23831\n30417 78011\n14217 69787\n36736 54159\n31473 61566\n1476 55174\n41420 45435\n2681 23163\n91229 91343\n76571 85285\n84507 93084\n5155 36786\n45077 88547\n7608 19351\n33282 66634\n21684 53017\n79746 80576\n72751 83908\n151 2506\n46439 64335\n21730 64010\n20083 78313\n48346 53477\n29538 58676\n17012 44580\n37735 72646\n2902 88261\n30752 85806\n45386 89302\n18689 28827\n60319 84033\n8153 85337\n42143 91840\n10303 61918\n933 2142\n8917 11280\n6609 85165\n12010 84849\n58301 64737\n35239 58879\n38574 91608\n15448 42665\n32516 77978\n32974 74497\n66742 67595\n41351 78483\n22435 71333\n35851 71199\n49145 75032\n11980 15439\n39409 51010\n15869 74964\n4757 5735\n42090 77742\n62773 64690\n7108 24099\n29656 76577\n3804 46116\n49823 77457\n88588 92959\n21103 70641\n4070 92544\n81993 89102\n13197 62138\n52562 53745\n36646 47757\n15844 83869\n47206 72573\n80094 86721\n40282 63672\n14283 45213\n58927 79962\n10182 37225\n43615 58344\n2470 70622\n14126 58407\n20114 39601\n75358 90191\n24405 80662\n21449 56713\n1594 3656\n43035 83542\n12348 61354\n62436 85252\n5309 43076\n26375 86678\n660 20252\n48903 59085\n53550 76884\n10949 35220\n8916 91922\n32431 70682\n80157 82926\n42850 59634\n27703 84144\n5740 90431\n2810 89253\n59129 81862\n4725 47924\n6832 27137\n40486 87315\n33479 86915\n25286 78871\n46107 56498\n27169 57185\n3759 77830\n56047 74294\n30394 81670\n7443 92144\n21996 45897\n34598 92283\n37172 66577\n4996 66318\n30780 82027\n12687 81208\n6407 35646\n29001 34296\n57434 87044\n85374 87798\n53887 68677\n19424 88572\n36052 77606\n42314 66874\n68934 92102\n24912 40641\n5660 19511\n56679 92755\n58011 67070\n41473 46820\n61407 86576\n28495 41997\n45512 81113\n13890 49858\n74278 93165\n27412 53502\n68574 74740\n7982 40425\n57369 86885\n28713 54701\n42172 53592\n3591 41375\n56417 74188\n32906 91904\n8284 71543\n66576 74013\n50393 70647\n51301 61729\n20072 82342\n175 82983\n12654 61848\n3152 36863\n23364 79016\n27127 81433\n26819 54635\n4253 61139\n9598 59511\n4310 43728\n31746 63759\n25 88812\n20141 23896\n30698 49518\n10847 53567\n860 43105\n60382 80239\n25465 59809\n72422 81566\n2286 50188\n18031 86898\n35127 35980\n21160 25535\n72843 84726\n34060 52278\n30889 86416\n18213 25289\n14302 50709\n67925 75373\n32132 55356\n63141 92616\n52702 67471\n29999 55907\n76208 85153\n6302 87644\n2733 12992\n1952 38780\n13361 84975\n3308 39964\n90128 92002\n37996 51174\n58918 79753\n62170 70359\n1462 83296\n33086 55099\n13757 37093\n37970 71132\n2120 6758\n77433 83795\n2680 31053\n23941 83440\n2522 26558\n10919 73012\n31258 87310\n18735 61862\n42425 83794\n8690 21637\n12254 71786\n80427 89881\n11751 74832\n2333 54573\n31474 51231\n40230 71572\n58541 59051\n12355 57120\n53639 73218\n56518 91230\n64829 70447\n18212 43340\n28775 54883\n40066 74091\n15727 66660\n26596 91000\n44071 89718\n21378 80580\n11862 14326\n37569 78882\n3426 59799\n67456 84350\n57159 60149\n15416 76534\n285 53002\n39942 48039\n30321 31060\n29837 60907\n27129 53652\n12751 80220\n57578 84258\n38666 45462\n49213 68563\n16133 81673\n4949 68068\n5933 46339\n40396 80635\n19057 45977\n3363 85825\n1797 28779\n33299 59957\n47757 85259\n47933 52979\n17543 69849\n12659 70315\n49796 53094\n38451 61943\n44423 75782\n6311 30441\n25004 58399\n17956 30619\n54607 75212\n39846 87207\n26787 55172\n16926 17997\n12213 25983\n38081 67806\n20779 64949\n56424 75449\n19368 66308\n39867 59172\n3070 31154\n49739 64860\n69981 79542\n33900 34805\n74558 88529\n9936 64825\n3702 47901\n4259 29152\n60844 72476\n42505 86842\n24293 57877\n68296 79018\n48605 88723\n29759 60400\n62574 84302\n12894 74322\n50723 88774\n31156 51060\n31318 40504\n7761 85761\n12652 66414\n36871 62209\n24484 69414\n13647 92149\n10958 65917\n36087 75626\n55871 92264\n10078 69524\n2745 77847\n2144 4442\n6083 78669\n30870 68965\n16706 53487\n19669 21416\n31432 83872\n18218 76152\n12695 57103\n4947 52210\n13933 93104\n69965 77236\n7921 36576\n76113 82938\n26583 43599\n33485 63230\n63739 93137\n30006 67259\n13665 22679\n31898 42104\n55894 61958\n59547 71830\n56934 66395\n50359 77009\n21899 79110\n17742 64614\n5184 55266\n36864 91205\n6185 86533\n1220 34878\n6237 78076\n43185 72185\n16291 49873\n31278 63099\n20839 84573\n63799 76644\n849 18070\n2826 37512\n49638 72492\n10697 58347\n10199 77745\n42903 45595\n12029 58247\n8638 77654\n20476 36551\n271 63243\n2172 40784\n32722 42566\n57240 85186\n27743 78386\n7978 17192\n56956 92879\n42757 82077\n45598 77899\n3028 50768\n21938 50780\n11829 81194\n14480 66321\n15591 42368\n86128 91827\n53475 75406\n30707 84528\n3126 60534\n28638 92169\n23467 30080\n13551 87635\n20817 43659\n53343 78827\n16324 36748\n19513 62502\n2175 77366\n14999 66089\n4852 6263\n15347 76528\n43329 75380\n49153 53026\n17141 75275\n22529 47656\n31302 88799\n10988 92704\n9073 51177\n11706 14492\n7253 12861\n67347 76759\n85637 90136\n8868 85857\n67461 89117\n66720 91075\n21294 41311\n12023 42344\n28444 58239\n30329 68441\n60725 68395\n27708 90670\n41322 88875\n25871 49398\n59266 59314\n16758 55830\n14099 35078\n35219 61290\n61128 63142\n89600 89731\n12528 17590\n14894 39994\n2828 65158\n32034 67385\n58975 91201\n63343 67671\n14443 47601\n38213 62319\n26113 42413\n3942 39672\n36120 82111\n21295 51121\n42111 92055\n73359 89785\n34027 45858\n31479 48614\n17280 74924\n8378 23699\n30244 71126\n3034 62426\n33629 56255\n30293 85897\n76408 82461\n28622 39342\n61917 78424\n53231 63820\n38081 90387\n51211 75224\n73033 85595\n16944 64575\n53456 88890\n7432 70552\n37530 64415\n56183 68877\n36140 48454\n37048 55017\n9455 78713\n43762 79872\n118 24542\n14940 87271\n16880 71308\n47137 60852\n30777 77141\n17879 55630\n18641 26911\n34502 62400\n2659 20593\n86923 87920\n64766 79154\n45773 46260\n20842 89394\n28889 73986\n42756 74108\n31844 93080\n6682 60327\n42513 87952\n63330 65674\n35993 44920\n68528 76315\n4636 47432\n59700 92211\n52298 62741\n40524 55684\n4289 33535\n18650 90698\n76420 84870\n29919 51063\n36855 68190\n2151 22022\n42596 75208\n31521 66141\n4892 5922\n7049 70616\n13154 24684\n16213 45986\n35139 39880\n18543 56970\n37469 57279\n6803 82328\n48075 68659\n25770 27590\n73369 92048\n27687 55475\n27451 49180\n62045 88997\n19558 67260\n53491 66429\n64625 76115\n10263 30313\n37845 89808\n17910 38141\n220 71422\n4182 45255\n43867 85019\n74484 81619\n44428 84110\n54590 62605\n54492 59292\n64494 90592\n49913 80481\n5449 44717\n34732 83432\n6055 19326\n46983 75672\n15930 46397\n29272 57366\n58862 71670\n64607 86159\n36313 52324\n34470 78277\n12833 43320\n20123 59380\n17368 24004\n51444 78422\n31358 68935\n33995 73129\n4491 43569\n35636 43868\n24115 40323\n44966 46974\n24153 83394\n18983 87209\n7067 74920\n20665 82705\n75736 81971\n13585 22589\n8722 41524\n51851 67354\n37763 86595\n15015 73956\n60132 88431\n31334 75579\n27214 82348\n13219 44915\n60642 91313\n36556 78708\n58585 68640\n89680 90811\n1668 26061\n30621 43088\n10133 91172\n53914 65969\n2656 37092\n6781 59067\n6002 24135\n9891 50696\n21656 83678\n48597 67384\n15922 28635\n21720 62938\n16133 18702\n7121 56049\n9017 81480\n59335 76327\n53814 86633\n74826 89002\n22095 66584\n50959 91775\n11806 33895\n1107 91831\n83592 85364\n5270 56741\n22509 88277\n11607 82653\n15011 35686\n52017 77415\n53923 84838\n34412 39552\n28145 41769\n44173 60355\n19413 41030\n27277 75392\n14048 89599\n57635 69244\n15866 53391\n26718 28404\n7900 47296\n735 13531\n7091 18476\n51016 53398\n12423 20839\n1531 89739\n42636 68334\n14976 30312\n20999 52470\n43322 63251\n49956 73186\n88388 92341\n59964 86606\n41470 76125\n40251 41015\n35333 53857\n2230 23556\n28256 52639\n3630 27596\n59252 77214\n27005 84894\n69577 70420\n64586 92243\n19485 53646\n22383 27613\n36422 44961\n77029 78269\n8111 59417\n45430 60074\n52480 79793\n34534 45136\n55290 56163\n45144 49341\n18647 49324\n49072 50318\n39665 65940\n47013 57950\n6070 23596\n5694 58650\n16087 54828\n1935 25342\n22275 50513\n43109 76839\n5611 90357\n44116 44207\n7994 77389\n72743 80582\n35425 54488\n8154 45801\n47520 85745\n26790 73742\n25952 78731\n166 70259\n244 28173\n41626 49159\n14592 18878\n38503 80900\n64361 80672\n2359 41724\n36336 54563\n61563 82181\n20780 69489\n36498 66916\n28440 54293\n14597 62886\n38208 62780\n20243 28688\n59058 80978\n29558 47466\n19889 33680\n33162 45674\n30437 90809\n22121 53317\n63633 72421\n31768 45735\n61163 74883\n26502 39336\n2645 57590\n87057 89955\n20905 67467\n4883 66948\n69203 77030\n1909 26283\n17412 40523\n8664 35593\n47993 73230\n56516 62707\n33938 83833\n63510 74745\n27945 65403\n45887 79748\n65019 67333\n9652 52326\n10675 76800\n38275 62006\n53600 67687\n62311 75373\n10878 34867\n20388 89957\n16494 73351\n29339 89669\n3486 6155\n36790 69706\n15319 78424\n8991 58340\n7768 15393\n29797 49966\n44789 46251\n50975 79043\n30801 32986\n61486 78157\n16494 21706\n29579 79093\n68159 68491\n29535 75567\n1699 39654\n40572 59379\n24637 37502\n75186 81589\n9886 12119\n33750 39006\n77920 79942\n19974 39973\n5091 32122\n17318 80856\n11619 88162\n31306 69299\n45456 92114\n32868 63879\n943 86478\n22531 51900\n15376 45427\n9683 15190\n5815 68101\n3261 51234\n9534 23995\n37211 54189\n25671 57204\n9504 41918\n11637 38473\n31120 51698\n69882 90837\n11925 68547\n4394 78730\n48381 56410\n34661 87755\n27009 62823\n34978 67459\n7929 59624\n85188 85622\n30713 34336\n54057 73551\n84828 90659\n6451 38307\n5630 72762\n32220 54367\n19204 75950\n78841 88903\n27561 55412\n19971 77230\n1737 61902\n33071 35479\n35977 48660\n45609 80360\n44949 45536\n2370 67567\n50379 61389\n61725 68366\n25021 78536\n72056 83137\n40570 92457\n40689 57853\n24631 69249\n33564 82901\n16522 35977\n32067 50056\n37859 43065\n17826 55804\n61826 92217\n34215 90863\n19153 75871\n72409 80897\n29940 80629\n24794 81425\n36019 37512\n35822 47144\n30184 32707\n71993 88574\n53078 56716\n37389 69397\n11978 65102\n55016 91899\n52455 60689\n41184 49718\n36027 55414\n8498 34152\n48000 51083\n71745 75745\n53851 90169\n9876 76496\n69947 85633\n5718 58647\n12785 56653\n26675 30515\n14147 52575\n20970 25163\n42924 52558\n1669 51959\n1914 32465\n53624 86067\n3392 65433\n43127 67397\n55211 91844\n1870 21470\n30695 73509\n41353 58158\n23553 69110\n319 51945\n17329 38969\n8846 87468\n2367 64997\n33123 66071\n6315 92082\n9528 45723\n27012 43282\n31816 80616\n7911 67202\n1907 3223\n4689 60189\n31507 46918\n23619 72810\n34750 35215\n39858 58125\n15390 80574\n28865 47370\n23359 47693\n53909 65114\n22146 68200\n34643 46410\n2204 16525\n1936 75721\n44356 45671\n25917 36380\n11780 58065\n54678 82817\n19785 56845\n10890 91205\n63766 74472\n18866 84922\n52247 62625\n26118 32756\n57521 63595\n50267 55253\n32722 77636\n11647 63105\n30551 70356\n18283 50797\n6304 69193\n47755 60698\n11715 70117\n26931 51265\n32434 81079\n30959 91326\n72954 81872\n18137 26391\n29387 71599\n21550 88816\n18095 46998\n48793 50467\n33228 53508\n8607 25236\n41763 73200\n4871 43023\n4327 42810\n64614 92679\n21503 66595\n34007 65064\n18575 20681\n50785 76563\n60137 70576\n8893 35531\n44443 49703\n23922 75622\n5693 60367\n986 63933\n79828 88285\n76419 80158\n22376 77538\n75461 79342\n54495 75038\n78243 89427\n39550 41169\n19528 72456\n1386 74706\n3455 67282\n49727 54349\n72010 86589\n73268 73523\n8899 54913\n17162 68326\n21469 37032\n30033 78126\n19553 36954\n16458 75266\n29471 32569\n26592 71158\n52385 64885\n48406 63786\n75311 85193\n23869 41838\n42735 61950\n10385 12665\n30846 46232\n22778 28675\n4919 50632\n70334 84733\n35564 91337\n14851 66601\n35625 57989\n18452 78175\n15348 24949\n5546 7957\n71518 84412\n30180 60057\n86347 87346\n62402 90351\n8650 9705\n15585 32867\n22468 72410\n53607 86805\n39085 70482\n33177 61929\n21890 33283\n33416 40856\n7109 59865\n36348 88335\n44456 73500\n21717 54947\n15927 19175\n3937 65159\n1441 47783\n15938 21190\n8471 56671\n20085 55767\n37373 44303\n27104 38066\n68376 83375\n2138 11702\n30344 51548\n39775 64598\n51025 62535\n52297 84068\n50602 58867\n22757 71448\n43191 72431\n36752 53390\n5370 58375\n31903 61677\n28680 36586\n6655 47566\n692 6081\n10687 73148\n52675 73704\n39409 42544\n11771 34365\n75061 85384\n12757 84711\n58757 66712\n8660 73411\n58849 67305\n16837 56618\n51389 73295\n48899 55250\n29223 74636\n39620 73203\n35028 61250\n19852 23208\n27793 92935\n71039 71355\n35054 61900\n6442 17696\n9201 16667\n3867 43057\n33520 48396\n1188 80094\n8731 36726\n65937 85915\n18974 37892\n17243 76550\n42196 64525\n68588 77779\n31047 68846\n19927 46349\n32462 61731\n47931 88769\n74879 84472\n8689 51555\n26641 66790\n29242 67560\n19546 39492\n83257 85362\n46131 77138\n3323 87526\n2977 61782\n54988 89125\n1193 85262\n38601 85731\n37843 75736\n13324 64635\n6698 78565\n70429 72607\n6363 48646\n6964 74088\n48317 90558\n27086 41648\n68851 72454\n45275 92446\n30426 62989\n3673 78866\n50247 81983\n16880 90505\n21113 68194\n5617 65979\n70488 92112\n26770 33298\n28849 52214\n23809 70318\n81237 84243\n40503 87616\n70434 74817\n26428 91221\n66492 85457\n47043 85686\n6198 13454\n28915 60466\n15224 45885\n24953 62545\n79820 85410\n11065 41919\n3253 47546\n65374 66183\n10245 19500\n1231 82417\n11754 71501\n81409 87105\n25871 63480\n50775 92641\n39598 65096\n3198 65636\n14536 39007\n5431 15153\n7510 52012\n75808 91038\n71895 75535\n53 22284\n9593 20583\n59933 61184\n65847 92776\n32876 60063\n38106 65663\n21249 39230\n38114 91619\n9061 88048\n45423 59904\n33243 74082\n50879 56488\n4838 54529\n49307 75758\n11115 90769\n38732 55959\n3191 47794\n4556 44022\n76146 89710\n39725 46540\n39800 78922\n133 57320\n28670 45885\n15399 84752\n5859 63602\n49931 63458\n4191 92069\n31722 47793\n6697 44157\n36155 70697\n29595 59816\n2132 17822\n38288 65597\n12013 22431\n47192 73639\n1220 81882\n69290 71869\n63827 70051\n26492 46687\n9251 85372\n9406 34042\n10919 75077\n36663 76459\n11207 22080\n12395 45137\n990 32166\n26451 71925\n70534 76318\n4757 42269\n7776 38954\n71546 80428\n2265 90853\n28219 64598\n14961 75605\n56523 72520\n27329 89488\n28368 79423\n3987 77911\n3373 49671\n35958 53841\n25003 71971\n34631 89544\n21430 39714\n46433 89171\n60579 74184\n52899 54830\n17609 30459\n39056 67896\n28628 29748\n814 19851\n49893 63981\n9275 38084\n81477 90304\n42098 84052\n32273 57154\n22901 25481\n7347 47269\n27202 54928\n47935 87425\n22352 53097\n16862 49782\n16313 61190\n3779 64504\n55669 57706\n3085 82263\n12071 27594\n41874 66304\n13406 59510\n71511 88680\n28028 74447\n30923 77434\n25533 45315\n34863 83567\n11657 60843\n34427 56457\n2524 10908\n37149 72473\n19082 38677\n31407 67756\n8354 71611\n3568 70789\n19889 76617\n5241 22022\n4029 52567\n15486 51531\n38087 50991\n49412 52494\n2985 86709\n10097 17645\n40442 55099\n10957 71578\n5509 60500\n26500 27412\n3968 68674\n28796 73022\n73301 78032\n18447 55613\n39409 41271\n8085 75496\n22075 58161\n21181 56958\n54504 89727\n26847 89117\n12932 42689\n28680 86070\n6954 22562\n49761 92186\n89552 90242\n1491 47454\n5403 25265\n36450 68892\n24655 55341\n3803 79921\n7945 83623\n10286 76685\n19634 29124\n13684 51412\n24830 30377\n4900 69227\n23021 44451\n194 4159\n54808 83351\n43136 50190\n26938 40925\n25080 38645\n19463 34146\n25778 36141\n25350 89640\n44853 49870\n66328 86770\n23063 66213\n37864 38949\n35023 88820\n5382 10448\n59352 83393\n74867 89407\n48966 89079\n37227 39068\n72636 73845\n24492 37053\n59705 61494\n2547 39174\n11 47531\n73437 81809\n4037 15900\n35611 49834\n34999 72964\n61506 80318\n3502 56318\n34355 65838\n41956 45708\n5383 57106\n8558 22176\n45885 52697\n19088 55541\n67668 86385\n9589 35176\n43158 44297\n56748 75534\n89551 90828\n51902 62030\n115 35553\n10215 74816\n1091 27237\n10083 82621\n43420 86412\n23613 78853\n16589 35888\n4368 20662\n16797 30645\n44404 78434\n73725 90946\n33102 50384\n22727 79224\n23289 62793\n13871 72623\n13697 74109\n52145 87756\n29027 77144\n61486 80345\n30604 46385\n33544 78031\n4696 70894\n26798 89405\n16161 41532\n3762 35928\n10192 15851\n14988 26927\n9339 92852\n7442 37250\n6338 60706\n38523 38531\n33806 78431\n30728 40357\n51721 57653\n30575 56672\n280 87875\n19411 84342\n17518 45880\n12076 21425\n60905 64435\n35881 59272\n14747 25428\n22135 69502\n33390 49599\n14841 88079\n1042 33259\n8792 88979\n25821 73041\n75281 79693\n6490 50074\n13247 72168\n13544 85381\n39298 54068\n44469 72581\n71915 83252\n9358 49446\n55767 90804\n69937 92771\n9992 54458\n73071 87115\n26691 88043\n60517 70102\n2139 5459\n38755 61997\n53778 91146\n17025 78820\n6157 58012\n2149 23215\n19312 67100\n8256 46659\n10460 59375\n16659 74124\n42088 72226\n10381 91911\n62602 89555\n19998 48838\n69795 72332\n63171 67735\n3970 12053\n12509 59644\n46623 92070\n24915 76799\n64006 91113\n10517 89292\n14917 72150\n53050 71763\n48497 91987\n12949 42921\n33777 43815\n52627 58297\n14765 83363\n36749 63876\n33693 62688\n84949 85968\n6508 83371\n33926 80146\n10363 71709\n16328 85587\n2627 93126\n25100 84087\n71657 77115\n43609 44349\n27201 55967\n18136 30503\n47021 59074\n38024 69038\n50569 56389\n5997 92946\n7525 31603\n41783 90280\n42270 87574\n25089 69084\n29802 33425\n20905 47166\n65949 68379\n14203 60241\n15845 20555\n8235 47778\n19394 91319\n44272 58153\n78335 88043\n73178 77504\n11746 62730\n3071 66866\n16323 32223\n35768 53179\n13327 81129\n9295 75458\n39667 75876\n32807 39076\n65268 72035\n53153 79334\n35171 87340\n27080 28832\n11989 86708\n6821 20466\n53395 62026\n5884 63410\n21825 85611\n2344 47958\n52795 59994\n11715 33693\n35790 38548\n12571 92834\n16908 31067\n7469 46259\n40144 81707\n15408 45026\n55313 85081\n65116 83464\n21623 33000\n11055 19498\n8073 38269\n14469 64003\n11706 30027\n13130 20148\n33826 79326\n73533 77773\n7268 76826\n33933 41007\n21147 91123\n47252 75364\n20315 62571\n32805 51968\n44842 68588\n42762 86612\n71095 84550\n19842 91983\n23065 47315\n1422 13482\n21158 61494\n11003 41379\n12712 23304\n3128 31895\n61829 89127\n8510 75458\n5377 60283\n14693 66845\n59475 75461\n46744 60795\n11130 24654\n18023 89268\n1140 31593\n58338 70038\n4114 15142\n22026 57444\n234 17526\n51123 56875\n15655 64340\n14837 52298\n52547 88893\n35513 58650\n62112 83147\n12000 52390\n17529 53578\n8118 91729\n47452 65325\n42698 89315\n39348 69541\n28215 79766\n73968 89883\n53319 71766\n5635 49471\n7302 72244\n49290 88160\n19582 40440\n16456 33737\n20031 30599\n32945 81845\n19722 35995\n2 56173\n24877 92652\n26746 36928\n1906 60704\n73753 82496\n83143 88325\n74114 89821\n9923 45324\n34555 65752\n80950 90082\n10267 79236\n7766 92836\n73605 82089\n9599 89877\n23026 79893\n19011 53959\n13789 88692\n39986 74923\n11973 12948\n26238 53475\n7390 24964\n27434 90394\n15922 50182\n24667 88223\n63760 63779\n77527 81914\n18230 47289\n20638 56154\n60586 64940\n31505 58868\n3820 84084\n60613 62140\n8288 10625\n46825 67620\n57784 88553\n11403 27791\n1397 21717\n61920 67462\n32657 65398\n9225 68018\n61599 90396\n13734 76927\n2547 12719\n52767 75224\n36642 53531\n62253 72741\n66852 87710\n36914 75370\n7608 29632\n4048 85662\n50992 91012\n22105 46858\n31518 49328\n7040 75484\n27840 88930\n39510 52458\n70868 91627\n6189 75061\n22237 75384\n41802 63731\n57903 65977\n62163 76104\n48267 62993\n77666 92860\n27805 28877\n60417 72342\n53122 69436\n15670 34287\n31833 47230\n28322 71591\n17910 32532\n31545 56716\n15520 58697\n66149 81710\n16178 24305\n49119 74999\n5134 85260\n71659 84970\n23416 26488\n1970 27611\n5581 92381\n42296 43367\n52946 82350\n10964 31934\n10109 60184\n15756 74661\n7170 83155\n15211 33003\n29153 77543\n33971 72096\n8033 47826\n47462 75744\n10179 29270\n53754 74343\n17634 51396\n30182 82868\n55485 80509\n3696 62100\n33405 69881\n12449 91614\n22193 25591\n12256 35672\n57398 76355\n41779 49307\n36653 41698\n14157 93123\n62699 90681\n26548 80363\n34076 41463\n22528 23683\n62751 75541\n3326 60441\n35640 73617\n23180 39276\n30911 75340\n36101 51521\n17328 38078\n32578 48147\n19503 32392\n73611 92913\n14041 24691\n18840 40903\n13680 89844\n29822 77426\n36320 65541\n236 20181\n3405 86930\n13543 18079\n22624 56744\n14016 63612\n36976 64820\n60549 65233\n61450 63757\n12705 69551\n3480 6088\n36805 78518\n40845 71943\n39558 76518\n1344 71343\n14432 16756\n68684 90726\n22939 42481\n60324 67384\n30325 42413\n64239 92417\n27812 72200\n72158 78601\n26814 39041\n26428 93003\n14729 85970\n29086 91126\n7255 65825\n6073 50627\n508 4955\n80118 81958\n15615 26613\n53722 63979\n7974 80404\n467 84408\n40963 66456\n41388 49927\n74756 90801\n37667 60082\n17259 23831\n32404 54910\n29427 39864\n31340 69596\n43838 80089\n54947 63312\n23293 61285\n34446 51591\n59291 68711\n17157 50226\n25073 82662\n16151 28970\n3518 44034\n21434 87500\n41015 80993\n5133 11382\n17003 54887\n16451 73434\n53909 68818\n71397 86019\n64802 82273\n25832 52043\n17361 47864\n61708 90049\n21263 39809\n19104 32063\n5743 48308\n22020 23958\n39393 93037\n57750 80437\n4153 29583\n82033 91964\n2664 9192\n8590 86678\n44602 53332\n18371 45490\n19021 76871\n59851 68195\n76283 80066\n22574 84257\n60288 87557\n61890 91807\n20447 25153\n4862 66128\n49621 66647\n34559 87199\n19606 87659\n13980 50275\n7243 79434\n67605 81153\n38645 70929\n21940 24083\n54032 60946\n23214 71418\n70553 79648\n33680 78019\n14981 36433\n15941 80709\n7305 62744\n77085 88899\n22603 72382\n41567 65358\n12899 26046\n54650 57240\n15357 74629\n16832 81646\n10189 14884\n13676 88396\n68959 70260\n12696 39641\n53865 79858\n13255 87462\n46247 59311\n67345 87505\n4239 26088\n8534 27390\n43271 54545\n21973 53860\n32211 51650\n24864 81482\n28333 54420\n2893 49543\n22845 88580\n5381 83947\n67747 75768\n1161 58031\n71449 79276\n67538 69659\n42314 78977\n13794 70544\n20177 91989\n42115 57670\n32387 72604\n3125 84216\n47342 69010\n11143 13536\n33196 73239\n43567 47647\n7887 32011\n9331 79537\n23510 59715\n2122 40108\n14595 34750\n31930 47415\n38037 56006\n62072 84542\n35936 74398\n416 16344\n9262 36030\n65139 92527\n67206 89992\n78000 81902\n44066 63080\n19023 39154\n20285 29880\n34217 70317\n36984 82494\n37715 67850\n15542 16952\n48875 80093\n60702 79449\n53125 84034\n32826 74014\n68077 73825\n18271 85003\n27885 55241\n22200 30707\n54665 83062\n79962 87634\n46276 48484\n97 87147\n57889 75070\n23663 55152\n35638 42224\n12851 49070\n24566 48105\n11272 27673\n50651 64032\n34418 43706\n65278 87154\n7676 53401\n37559 84477\n58443 76575\n42988 88628\n25399 71706\n1056 25215\n40058 73749\n18906 75180\n11096 29330\n8777 53673\n8872 75552\n76322 77661\n69696 81970\n49965 74117\n66818 87048\n58678 85602\n47529 54153\n77657 85433\n36637 49662\n20072 69556\n5255 57658\n32647 67529\n55504 82809\n35944 57040\n89741 92689\n17829 74837\n26636 58020\n5503 53585\n32918 66999\n32335 65006\n74970 84021\n36600 84681\n9430 31318\n37501 86285\n12046 32926\n61937 92489\n9604 59385\n73187 91311\n81048 90383\n9604 21286\n46530 91496\n30494 85021\n84545 84918\n47122 75062\n59425 82758\n67373 81316\n18138 78038\n16415 65298\n12665 15677\n3665 84904\n44984 73101\n66596 75636\n8038 77776\n43550 43889\n53786 64289\n8556 64069\n21227 80695\n14993 72952\n25537 53256\n20677 72946\n11803 35685\n32071 37113\n48298 87678\n14968 57571\n44074 51862\n30140 51070\n7199 23753\n18329 67363\n33820 71267\n43664 84349\n15015 81760\n39234 76641\n61450 71575\n28233 76688\n35342 46550\n50202 57057\n43552 62491\n9501 31210\n61542 84653\n50571 65955\n7258 44710\n14431 50080\n43726 75881\n5670 35196\n18579 44529\n37758 82078\n2966 39497\n39251 68531\n1323 68998\n42896 84863\n9416 18819\n2242 82275\n9756 44359\n40825 66155\n59066 75636\n34914 86895\n58329 83521\n3790 81464\n18295 44037\n1710 89691\n37841 40015\n62773 90663\n11680 20979\n387 46879\n17435 51577\n58481 65628\n28057 76853\n64374 90471\n7325 21236\n68296 89279\n45666 58611\n12310 14855\n7717 14272\n33515 34444\n8605 88689\n40513 59357\n29122 56649\n4711 81930\n53518 79874\n12737 77830\n30395 56066\n29762 68486\n46495 81315\n2040 6958\n26803 29402\n14745 23560\n58533 83290\n56766 75810\n48125 70653\n19806 50055\n47682 66020\n773 33115\n71564 77903\n72339 91883\n20822 36651\n33328 80495\n71312 89399\n38647 81280\n4242 37145\n9011 74952\n44777 90306\n67061 89710\n19689 22068\n76993 83195\n47534 61988\n64423 81451\n4486 27306\n24185 88176\n52128 65838\n16256 35839\n16723 22997\n4527 45223\n21856 41444\n25835 26666\n7058 79382\n24604 47280\n3587 72907\n2930 83030\n21149 58987\n5168 34535\n951 11124\n25087 46436\n20150 40058\n53994 87496\n66114 86706\n7526 43139\n48908 87891\n36203 37332\n43991 63578\n28000 34714\n27625 48672\n20215 61232\n15812 44958\n50387 60372\n39529 44349\n51508 57201\n34131 72948\n64134 88678\n1786 37426\n35081 46541\n54625 63480\n6399 62421\n8769 25977\n31471 39452\n67950 70167\n21025 78636\n44904 81840\n49577 77555\n34641 51963\n45120 80298\n29 15625\n29813 35526\n35335 67179\n24538 32092\n24635 77269\n49537 84364\n26887 67932\n21686 46042\n4423 73804\n15039 80107\n21339 71293\n34280 83803\n30012 58421\n20439 78666\n13069 76707\n48379 75542\n52196 59261\n67955 92179\n49568 67730\n6871 8368\n85737 88801\n32046 89782\n16797 72409\n4326 31360\n51564 64674\n87584 88178\n55703 62353\n28285 89878\n81575 91309\n14841 90481\n5106 28665\n62190 81039\n7007 15870\n8056 27748\n37104 50073\n36567 69134\n25738 81171\n37217 69565\n39898 43436\n46433 88028\n18113 35340\n11912 22655\n8179 70241\n1084 34031\n50472 81518\n6217 75413\n3752 7328\n45542 54722\n19385 38384\n42618 82166\n6839 33878\n2564 75507\n17538 29961\n2252 82074\n4075 83826\n11178 42671\n34686 77949\n9970 90354\n27552 90497\n4910 31142\n49613 90080\n60801 74052\n56012 80097\n21872 30571\n26338 52934\n64189 89290\n12244 69544\n181 85969\n214 11850\n497 7560\n27439 87118\n29780 56793\n56910 74564\n59675 63085\n37194 70125\n64835 83936\n37930 49435\n2421 62685\n33139 60660\n69278 89981\n44404 59272\n2702 80406\n31087 64744\n52429 91050\n1232 70960\n31942 42580\n55738 78425\n12213 35249\n5952 44738\n42877 73805\n38222 67944\n27718 72979\n12715 69966\n303 30819\n28755 70099\n29815 44793\n12771 29846\n67901 78237\n3814 32362\n24548 73915\n27277 44250\n30092 43363\n33155 75913\n1668 53610\n44724 88436\n26229 54318\n45672 55915\n17125 45511\n74875 82198\n19088 53351\n432 30457\n62166 86663\n41201 79437\n16432 77884\n26670 63683\n9385 75156\n30852 47021\n69145 86493\n76361 87338\n16749 21152\n32920 51620\n35066 56034\n21567 88543\n6688 54375\n9256 76079\n21832 75236\n6647 63455\n80066 88978\n6053 63121\n31242 85074\n36474 54135\n61227 64352\n2035 65933\n5084 86896\n8142 74623\n16784 61762\n80515 83212\n36837 60232\n4169 22504\n28608 28981\n47925 50831\n76488 76543\n15717 89847\n24208 45325\n4462 84216\n5987 14061\n8379 87474\n20268 29750\n12800 27179\n66777 83173\n14767 33786\n13629 13670\n4448 6059\n38645 47051\n34479 67877\n7593 30419\n40779 87850\n26219 71255\n19131 49282\n32736 79528\n10199 40700\n44353 49208\n27778 88897\n22663 70033\n34103 86611\n47966 81457\n1320 56374\n58600 61847\n54730 70302\n56371 59939\n38462 86043\n51173 68641\n18980 78936\n30391 83812\n39112 47681\n9476 83646\n25460 49852\n5580 67958\n2588 18958\n18371 55709\n49789 67768\n28649 80058\n55456 79243\n10069 55644\n28865 50216\n43188 49703\n32023 57409\n41904 83761\n35977 70272\n30733 80339\n15850 29204\n16879 26234\n37663 85345\n39168 79898\n23296 67237\n67782 86844\n34318 51233\n21374 26790\n40963 42619\n19815 73416\n16663 30026\n85991 92511\n44019 74393\n56720 65771\n8406 84722\n50670 89192\n5980 16674\n39973 91729\n23070 64999\n16296 89662\n2951 52537\n1006 58056\n15520 70372\n7774 49662\n44511 63444\n31626 74117\n22688 34527\n28810 43658\n2705 48504\n3299 91433\n38568 43709\n26301 92889\n38964 70960\n8729 25794\n34272 73458\n66568 83346\n13706 90980\n43775 86895\n32184 36168\n12050 37197\n11668 21297\n4899 44064\n43987 67452\n29173 34733\n13383 80963\n37114 40468\n3787 53075\n1193 62782\n32279 61408\n12248 60675\n2639 26386\n23845 86247\n7235 83581\n29012 55620\n19183 34805\n29040 69232\n2796 60727\n17503 54115\n19420 34061\n70508 91677\n66204 78167\n43865 92715\n15693 68477\n18353 30140\n18154 59333\n44961 85956\n52167 61473\n12835 45611\n63010 63402\n10898 78651\n1497 7490\n11149 64871\n19621 54150\n31109 32328\n58668 64088\n74940 80259\n4898 82895\n14329 58122\n1976 57264\n74012 84193\n17413 71070\n43033 88231\n77 71028\n5469 60611\n29192 75455\n26908 31988\n23704 46409\n20528 56690\n24563 47410\n20070 87640\n32991 92517\n3048 48115\n4583 24455\n49342 63142\n13989 19551\n77489 91333\n19665 49744\n5168 54889\n48707 70042\n12183 38961\n59490 68733\n991 79655\n44063 63858\n14258 14595\n35373 87471\n19559 72653\n50943 79480\n24090 55058\n22840 51131\n73138 91454\n30525 74705\n62 15246\n9567 63532\n39398 48918\n25395 72030\n60609 76441\n16480 42887\n36504 52301\n78859 88963\n3370 34379\n29914 46357\n18820 41035\n33121 46874\n21586 75605\n22076 74146\n23646 68478\n69531 73621\n29309 87161\n27128 85160\n36956 73185\n19832 46139\n6949 53813\n18192 60930\n10260 52567\n24163 26064\n5493 90573\n40814 42787\n33256 48133\n35313 56750\n9441 37933\n21519 41208\n19178 29748\n78366 82688\n16629 46810\n57759 86016\n46287 52707\n9688 59626\n48590 60783\n19607 31133\n28181 39321\n27339 31209\n4795 11492\n69308 72162\n64050 67360\n12753 81368\n7249 78460\n28945 52733\n60711 66657\n207 72371\n36272 82230\n2257 56446\n46487 59837\n25875 28302\n42054 81987\n34085 60756\n33061 72966\n70686 93119\n16049 68712\n10954 33663\n15198 60141\n23411 67981\n32176 32303\n13963 21218\n27987 29922\n13053 89766\n102 72596\n27589 48535\n3072 59441\n12210 84602\n7088 8781\n45432 56737\n74905 92960\n78469 92241\n51973 57783\n48931 89866\n38339 40496\n22393 85707\n21485 84622\n38427 52822\n8957 87173\n60168 92225\n46444 50248\n72169 90208\n54564 75989\n51613 61240\n31111 56400\n77903 88010\n8047 49794\n28703 79944\n27907 68073\n23631 84696\n30988 66293\n29726 65717\n34850 49561\n21567 42871\n31872 47595\n2194 73638\n43480 77561\n65278 84830\n4585 86247\n21944 40191\n7146 16098\n5593 7184\n3962 56035\n58307 63686\n46478 50885\n63690 71495\n45049 65333\n81356 81426\n28642 76873\n68077 68510\n59633 64233\n11155 45310\n4151 64512\n90128 91198\n5065 70202\n16157 37150\n333 3549\n15504 17432\n29666 44463\n38304 84191\n32130 35303\n3912 65201\n19114 51467\n52701 55879\n38449 71989\n45840 85633\n15397 58703\n15626 55341\n30366 46840\n540 27460\n52693 61492\n18484 20460\n34267 66280\n87460 88442\n62770 91675\n11833 51089\n21471 83630\n10713 17435\n60725 91779\n1814 61719\n19114 90143\n2770 41323\n24923 75648\n10628 20549\n20794 62691\n19775 37290\n35960 52299\n18229 33442\n4450 15383\n3456 38881\n62896 92601\n18726 75289\n27126 72414\n21521 79796\n15435 18703\n42858 76936\n52881 91483\n25372 78106\n9930 31094\n6574 65960\n38558 65000\n79308 90567\n45085 50503\n13407 76863\n63603 64508\n3274 65156\n34919 77080\n4085 26491\n5245 41273\n11780 34397\n32022 85194\n48106 89891\n11913 12551\n69099 84382\n56475 82226\n10091 76298\n56887 67207\n18843 24503\n33140 38220\n34574 81935\n2322 38163\n36855 52109\n26980 61937\n2336 21662\n14763 89879\n2626 80048\n15949 79609\n1014 44516\n21699 56942\n60306 73290\n35425 83417\n28049 40235\n33693 92233\n37356 49497\n41755 91657\n12435 57337\n13108 92478\n2730 24753\n36736 48685\n16999 31670\n13447 14385\n1557 73247\n36072 55986\n14255 64919\n32971 79630\n7380 61508\n62076 76386\n13170 39278\n11042 47559\n18032 68239\n2917 58753\n11037 73787\n57942 79803\n7463 29159\n11686 32181\n48287 92474\n26460 50079\n34410 70483\n75532 81445\n54975 85346\n3586 11646\n33356 74282\n76445 79388\n17208 24239\n31758 83906\n13256 44403\n21127 77237\n24486 78149\n45917 82427\n28939 83266\n36764 37802\n13385 80747\n76831 80432\n66811 77008\n20005 80431\n8773 72881\n49595 72030\n3579 8412\n13388 24844\n7032 57000\n42692 49416\n48236 86968\n38153 73381\n74132 88392\n11183 12950\n21874 49900\n42653 53701\n40420 90703\n5191 13643\n22201 68659\n37885 51078\n15177 45518\n77232 86721\n62677 68255\n5633 82648\n16210 29490\n15954 29656\n69441 71173\n37798 84178\n25478 89932\n44774 85558\n28363 82744\n40265 89564\n11606 86072\n7488 30068\n15404 26752\n26518 27796\n10208 79462\n2204 77967\n27862 90992\n20583 55434\n569 6091\n40523 87105\n45430 77276\n48860 84091\n49856 79107\n59280 59987\n13954 48851\n70355 86083\n54506 59157\n44305 69864\n1017 34592\n16785 75597\n27932 66207\n50311 79529\n948 32713\n63530 76924\n14169 27413\n72801 75177\n51978 61543\n24081 59616\n113 64055\n23285 48642\n26869 51257\n16812 85708\n81271 85098\n3024 44127\n10321 81587\n42154 53898\n21522 53110\n2623 23838\n19851 21094\n48833 89562\n32303 61049\n52244 59579\n24095 76185\n35971 43478\n45327 45398\n79445 92166\n6895 7841\n1163 7482\n10282 70348\n25675 36103\n32365 40568\n32379 46124\n47471 79266\n29812 90101\n12991 64317\n39051 41626\n43898 44432\n59805 74277\n9736 36889\n9847 72545\n29275 43069\n22695 63334\n7908 71911\n34914 85164\n29100 35590\n28602 41595\n20797 26389\n46485 78213\n67249 83438\n75041 88408\n7196 58670\n18214 28642\n40906 74068\n32082 85732\n29552 44855\n36365 92341\n13585 87399\n23528 25085\n41760 49078\n46783 73489\n59126 68560\n39359 41044\n3436 60607\n50841 70543\n9718 86122\n28252 69612\n43255 55757\n13240 67651\n24671 81794\n1833 31345\n4920 6402\n5246 47566\n63558 75327\n7825 19049\n34620 81112\n6084 65787\n22419 92070\n13563 26220\n24784 64556\n14151 44659\n15375 36107\n2818 65281\n51459 60080\n8619 64645\n69167 70182\n725 49294\n64622 72281\n25453 78608\n40572 53634\n35267 91159\n1518 39227\n9300 77463\n43093 46355\n73169 76340\n69332 84862\n37466 79512\n19653 55848\n52115 73931\n39872 86214\n40753 69792\n32965 81108\n51063 91166\n32330 61851\n67370 81660\n55715 77938\n26691 86749\n9859 19847\n47111 80765\n49617 74666\n7925 67698\n30693 81742\n91307 92791\n11775 65726\n46523 61506\n26276 63012\n43645 65657\n12117 49255\n7112 26087\n22659 49713\n64816 75630\n2032 7245\n40675 55449\n29397 30431\n58660 91123\n10691 34624\n17322 72528\n42572 61569\n7925 76159\n17713 67939\n49053 78529\n39363 91883\n22808 62794\n62501 79041\n48368 56023\n22306 82809\n54042 88855\n579 33615\n48547 49562\n2444 56936\n9014 75383\n31738 54127\n6761 54459\n15874 66984\n72069 76470\n650 41446\n42740 45763\n12288 50717\n38627 54389\n67192 76266\n65966 78467\n20038 38347\n38521 51591\n63626 90437\n33063 66128\n7086 49268\n1999 41633\n17816 26342\n60518 86840\n25703 89217\n53858 58538\n28530 64387\n29065 66344\n1063 33897\n9154 32534\n20214 40252\n32978 45978\n26647 36300\n17700 31176\n22129 85353\n21520 34563\n38847 73173\n50141 88782\n44254 72709\n201 66573\n38619 84968\n15194 59357\n487 66085\n32976 72522\n6202 17659\n60150 84616\n35146 39915\n4391 23121\n34579 65504\n78745 79785\n3222 19868\n8397 58052\n12310 35346\n41162 89027\n50531 51063\n7216 78202\n5205 46278\n34429 40933\n18933 29932\n74951 88226\n425 23699\n6202 24416\n5027 77515\n40717 52723\n42083 87546\n57664 71077\n6508 74178\n16663 71923\n9343 33921\n1870 27689\n51851 68523\n60762 80140\n58437 60145\n27697 31032\n76752 81791\n13652 24117\n54024 59395\n33203 77983\n13847 54374\n32553 34045\n25941 48848\n46913 87456\n53894 65031\n18077 60856\n38569 79644\n15190 87607\n30266 56803\n61004 81440\n28980 66928\n74968 87791\n29371 39760\n36072 54385\n9925 19288\n3358 85586\n44959 61334\n29151 67032\n10871 30223\n2373 69852\n157 27509\n13038 55264\n75952 83229\n15400 59976\n100 17119\n81271 84166\n24202 89945\n47068 86479\n35133 72149\n1858 51398\n18972 45378\n4989 10675\n64949 83466\n20538 21887\n46304 62070\n56663 70444\n8098 88845\n70059 92276\n70235 89730\n19338 26974\n17044 42627\n3272 34864\n28790 68359\n13169 64829\n6323 10880\n23367 39576\n78409 88678\n48774 57585\n65867 67062\n29205 60846\n22971 93107\n38653 76020\n40608 43833\n33751 92029\n10792 55897\n24472 36800\n43186 53092\n37675 41258\n656 44138\n56306 88785\n7865 65401\n6331 92790\n42910 67210\n17117 24409\n13532 88192\n27461 52084\n41190 84050\n23513 67782\n92666 92683\n1200 83533\n54373 59935\n13799 52381\n13235 46047\n48114 64646\n34262 44431\n38846 81121\n29529 44199\n50388 71721\n21282 77313\n47487 63622\n51299 54563\n4958 59154\n18550 92023\n19371 64556\n31435 79471\n3230 67244\n356 61535\n5420 79458\n13918 28622\n4805 43667\n1149 46227\n21478 81522\n73616 81445\n19008 41844\n68995 73385\n9190 87821\n88 10572\n4784 12073\n15337 44562\n75157 82319\n32803 54846\n23555 39198\n15333 75317\n38410 62652\n55313 74760\n19511 68839\n8206 49181\n17574 62742\n34715 56036\n2391 65179\n58992 82188\n4173 72297\n69964 91818\n30461 49407\n69525 81976\n23641 46569\n21068 22388\n43607 67277\n23442 32344\n22747 84391\n33312 79252\n7224 74689\n34135 42071\n68204 82493\n42114 43648\n47458 91053\n22717 32409\n72481 78626\n22807 81917\n8678 29388\n9338 58302\n25571 91505\n66849 87601\n28174 86465\n31570 66661\n55988 89507\n14712 91537\n3735 57981\n3107 43614\n41733 87149\n45256 89130\n51418 53840\n9146 62013\n60666 72919\n34858 89474\n12029 43696\n34457 78591\n18515 91296\n68793 84696\n44269 53403\n21212 82830\n45215 89566\n9337 31979\n64926 92561\n41886 89804\n877 9489\n53572 90619\n9582 21526\n22263 25598\n34810 87004\n2070 13611\n30841 66653\n27782 69097\n26237 51747\n52785 80015\n27806 46529\n7862 90609\n21731 79759\n10835 29766\n51188 83718\n69226 86120\n33000 36157\n18695 19930\n50000 83583\n45069 90557\n36448 87627\n55587 76982\n26121 49902\n38494 64150\n20363 21513\n18165 34780\n628 14462\n13007 24341\n24896 26030\n12719 88258\n11502 18655\n22292 29988\n30718 81973\n19473 91125\n14021 78617\n80718 82376\n45832 57116\n52525 74244\n19813 39758\n57390 79780\n60198 70577\n59814 79423\n59222 75376\n33710 44022\n20139 35799\n5321 80812\n34540 55832\n26809 44465\n79523 87600\n30664 83537\n21048 83518\n24500 25281\n22421 84220\n63248 78176\n65076 78163\n35799 45606\n10545 89884\n8599 9759\n73746 80577\n16949 69337\n5967 20965\n22524 83740\n20573 52895\n20177 61890\n12631 62202\n16789 50155\n48574 80056\n9234 23363\n11976 38222\n69 45365\n15130 46903\n14737 52393\n22805 67139\n23697 92091\n52377 54353\n4595 82167\n1286 26578\n51922 86744\n65975 73683\n34604 87953\n36203 81895\n31866 81122\n56456 59670\n36048 72098\n60436 62715\n65519 78552\n31940 64153\n23494 52589\n1497 53428\n28942 64339\n21622 35205\n24610 49088\n14217 54480\n4973 89199\n10449 48369\n4878 64197\n16631 62522\n36164 36371\n19864 80321\n82645 89058\n3158 57352\n15923 39670\n39189 64176\n52471 73197\n9011 70130\n8301 12337\n42939 70370\n33386 74407\n11619 80821\n9160 66633\n65970 80411\n4129 79890\n6681 29894\n16716 32554\n84056 85732\n12176 21594\n15891 49388\n68314 78773\n953 2253\n49378 77742\n42064 60272\n60541 87662\n5749 66892\n34896 82228\n13067 35030\n58804 76980\n1402 43096\n15683 36504\n55368 86107\n2263 36367\n17027 74673\n59464 71105\n33246 53356\n19357 79070\n12881 82288\n2387 19191\n27665 92276\n21527 63750\n9882 17623\n48433 57470\n33304 36963\n56948 85972\n37848 55285\n27351 63474\n13180 67094\n61678 74341\n20547 62346\n66510 72546\n44268 69208\n27873 86393\n35654 72148\n13310 89472\n42780 93117\n23027 89653\n9265 47300\n19429 86938\n60502 64461\n64605 86675\n14148 90300\n21438 60519\n68305 70439\n12685 88686\n25654 88604\n10275 92471\n74354 92824\n13998 56428\n66006 83435\n9914 78930\n47493 52876\n13769 24437\n14558 46625\n41547 85325\n10184 45466\n43478 68442\n23057 27783\n4303 38671\n76930 81970\n15453 59866\n49368 87301\n85488 91514\n8858 83639\n30531 33846\n73610 78281\n48324 64579\n15702 86114\n43681 61944\n43371 67625\n73 69391\n20085 64067\n80747 81317\n52592 58728\n32375 79648\n31297 57699\n7157 39494\n16102 38855\n11371 91659\n15142 51665\n39536 58830\n60912 83104\n59618 90524\n3437 82642\n32824 71056\n59172 60946\n26192 43558\n82595 90063\n54320 60603\n7928 51656\n48589 69912\n3159 41574\n22215 92976\n7340 77529\n11722 18087\n38333 50287\n10427 14101\n58648 69203\n51591 88932\n34861 89176\n55041 72660\n42410 64252\n18437 36938\n39366 56289\n58441 75179\n40008 73292\n31762 84542\n7412 36433\n4754 90761\n23667 34135\n6394 54372\n54144 67612\n45728 68837\n6357 50721\n46314 63467\n15302 28092\n40893 74100\n8929 14955\n23463 87920\n1418 51904\n44435 47695\n29310 59817\n13518 52767\n19762 77882\n38950 41831\n49960 79030\n7396 46550\n18285 48002\n30875 33426\n51304 59808\n11014 72548\n10167 60766\n66410 83002\n19767 32960\n7786 85989\n1864 10569\n6782 68283\n24272 86616\n34223 52108\n32198 59494\n5511 29569\n5851 30662\n8882 41031\n14647 45031\n24906 53791\n35974 44393\n50630 66939\n22220 50312\n26854 29565\n17461 67310\n70026 87258\n44304 86898\n37401 55043\n4739 12695\n345 87477\n39781 85872\n40401 62979\n22234 39452\n5709 67034\n2619 15403\n47421 72782\n59015 77621\n14452 26759\n15631 25535\n70607 82254\n46447 77143\n9638 29129\n30809 38982\n42990 70071\n56469 65356\n293 64678\n11591 61472\n47014 88613\n472 6038\n2870 54093\n47774 89642\n32635 77016\n25505 73389\n4521 34725\n64247 71277\n36628 74258\n13904 90313\n66842 77700\n17915 33178\n25346 82541\n4820 22737\n82117 86456\n24078 90518\n20771 22945\n56100 82813\n36328 57027\n15315 87718\n18361 45213\n51355 70628\n39137 59542\n10398 73543\n27395 63618\n2654 28768\n47298 81784\n53158 85347\n5364 30130\n38895 56555\n41769 74140\n12368 29885\n26530 30826\n339 30576\n78606 78698\n40402 83925\n683 7287\n73743 86485\n8368 82470\n35976 49007\n48527 57380\n45422 48579\n53323 92121\n46208 87398\n70680 92799\n46678 64344\n28865 42291\n65454 75122\n51440 63284\n14809 19039\n88633 92543\n11582 78242\n25988 80173\n11118 76146\n48195 67096\n556 88878\n30312 60901\n15414 21050\n11065 13330\n18746 46098\n30407 81250\n32671 77011\n10443 27224\n14233 92048\n35954 84619\n42596 59986\n24763 80722\n16899 75985\n52912 84444\n6950 53408\n10438 57458\n8935 90423\n28299 82890\n32984 37020\n7063 64746\n3631 25753\n28264 66813\n17465 66722\n18471 28754\n39601 80592\n36334 38526\n41908 86970\n59915 71949\n5620 60165\n501 35789\n77918 80960\n16260 71207\n86009 89158\n30097 61019\n41412 82310\n67924 91740\n63047 89859\n7650 69670\n15024 88282\n66808 78260\n35886 67620\n25213 63763\n45432 92914\n22456 47431\n70495 77116\n50399 54191\n18992 70591\n38214 68444\n7183 30572\n26487 82634\n15774 83118\n40709 43857\n82983 91176\n42073 54213\n3670 37307\n34391 61827\n41273 71748\n70077 84255\n14105 20971\n23854 41640\n18638 48599\n9493 29077\n28067 77989\n25694 60511\n52446 54714\n2678 61147\n31115 87094\n15527 69642\n64 80543\n17129 29292\n23854 53027\n64423 74258\n16211 41383\n2425 60581\n6075 73278\n34823 84909\n4530 59965\n38243 70696\n6573 19357\n72810 85977\n5150 67022\n38244 71185\n11316 92168\n23870 80710\n18772 64491\n2304 72522\n23715 24732\n62371 92086\n19762 72356\n18753 88698\n79848 88343\n19263 64835\n60276 80962\n85636 89496\n11297 27585\n64344 78355\n20306 45922\n47540 66432\n14299 71086\n16581 37834\n11181 25385\n55758 60155\n1723 87626\n18953 86767\n44426 87526\n53291 89825\n16183 87912\n3910 59064\n33009 63322\n10159 23970\n35943 85329\n8891 23353\n59 15515\n19732 23309\n18867 76933\n31191 68493\n32965 41194\n58139 79673\n74045 89404\n79526 88693\n21294 92990\n13510 48472\n65584 85785\n54245 89289\n28756 73916\n79847 91677\n28695 92679\n48472 84048\n34322 69686\n43996 90043\n8903 43509\n32571 73184\n8985 71820\n6385 58089\n17662 29158\n22425 41809\n18066 40689\n24402 34818\n7688 37738\n33100 47182\n64991 87905\n33381 63061\n15112 49843\n7565 88980\n38422 60646\n7565 31109\n20865 91073\n37188 65985\n71347 79387\n54416 68630\n9849 13474\n28819 55571\n19382 61832\n20146 58720\n67520 86400\n6810 72017\n11093 75134\n17716 37802\n63245 68607\n59316 82862\n48240 74602\n52435 61081\n8243 82052\n298 41266\n12914 72320\n23502 42640\n10341 28592\n24294 69391\n24996 55551\n7169 43988\n15418 35509\n54217 73533\n28711 82327\n20967 83781\n9433 73882\n54199 76009\n49114 52468\n54184 65549\n8264 27451\n8891 22732\n64443 75744\n16773 30527\n65435 73807\n42088 62389\n13258 63163\n9921 39603\n44538 62970\n34743 76565\n21076 65231\n80944 82046\n455 91479\n40828 85062\n12432 89804\n5897 8383\n37291 51912\n14358 78861\n26193 62617\n31114 69348\n51357 79940\n954 8178\n53162 57495\n65126 85866\n71727 73854\n53841 61225\n41235 43753\n87913 89010\n4373 87620\n37480 65491\n23316 24419\n10936 20514\n12455 21747\n5424 41615\n38450 83418\n42811 92586\n55809 59637\n38691 38921\n12546 14449\n64501 91411\n64024 84907\n21474 49179\n71691 92814\n3597 19421\n48759 78938\n51252 71534\n80035 85679\n6452 86147\n40945 89126\n55263 78114\n51271 77942\n82197 87042\n8005 57156\n53091 64652\n29688 78998\n56634 87352\n8657 23307\n71698 90981\n9366 66129\n17399 75265\n749 6099\n14390 56827\n18878 81384\n82605 90443\n15744 76821\n224 53085\n27523 31245\n31078 51303\n23598 92719\n46712 87287\n34485 80491\n8963 12242\n67104 77576\n32048 45992\n9663 56012\n3791 17730\n37883 64984\n31007 66519\n20362 70372\n76332 83358\n17571 40480\n24768 74331\n6374 8776\n67519 74669\n53602 75385\n15153 41536\n25425 33635\n49424 54012\n40343 82623\n11186 62978\n40837 64185\n20156 84902\n56812 78731\n27138 55261\n53600 86382\n36578 41928\n23208 82994\n56657 58530\n374 30002\n20834 88918\n1354 7559\n31150 45690\n46677 89477\n23185 77736\n25979 59830\n16878 25873\n43352 70166\n29688 78108\n33600 91969\n30967 35181\n20545 22422\n46711 49842\n6816 11029\n9610 87900\n70482 86293\n18224 46737\n61821 68433\n5249 28442\n50975 82519\n34342 37367\n26259 58339\n63955 86275\n25199 56648\n2940 76959\n42188 80660\n65875 81183\n48747 77554\n35040 57026\n63517 73143\n3335 20426\n55626 69477\n24681 31361\n79732 85564\n25885 85825\n39618 75006\n19063 86771\n53468 60021\n29199 69574\n34913 88995\n76541 80274\n41053 63217\n70367 80103\n14898 33836\n8215 66178\n9900 80918\n45894 64022\n7556 35936\n89669 90760\n77426 92028\n66739 73022\n29376 37855\n22096 29965\n15628 43305\n49561 85521\n46923 82765\n27062 61357\n41296 80710\n47995 63729\n18969 92057\n12376 31190\n52744 61036\n58656 85058\n23304 62400\n30386 32186\n51116 55788\n12515 88279\n15822 69247\n27638 91083\n9183 37903\n11655 71474\n9068 42336\n35341 38425\n18236 49137\n30193 47019\n9742 73191\n5188 92374\n12141 36595\n60629 80631\n325 24154\n88900 91149\n16124 67635\n19252 89647\n60739 83247\n32676 75011\n26827 41114\n40686 47114\n73137 84995\n39288 54413\n66777 68454\n41573 82722\n11886 39082\n57705 63513\n10319 21469\n43984 44860\n21398 48498\n761 70499\n63130 77711\n60166 62512\n64635 85715\n8813 70654\n11910 90217\n59574 60231\n6512 23931\n18106 83233\n10938 51540\n8660 9961\n25164 76572\n15994 68885\n43876 80514\n79551 92278\n22744 23571\n20662 74332\n8990 39932\n31615 57529\n2040 30882\n19528 90600\n24923 63506\n35188 75988\n35682 65388\n34866 92186\n58802 81332\n13901 28222\n5191 32395\n62208 74101\n47308 62956\n4807 86177\n38944 46747\n61568 77945\n4517 22298\n14389 77533\n14334 23375\n58091 81154\n19777 80185\n1722 76142\n9114 88846\n20865 45749\n4250 50742\n27683 57875\n9609 57617\n39473 70193\n14242 84832\n6848 78223\n29520 36719\n33265 39826\n18016 32393\n2241 33577\n70801 87241\n41238 83683\n7113 29776\n6138 35202\n7033 45207\n19711 43806\n4538 54560\n2383 7059\n1923 61251\n72628 88523\n49532 53565\n25961 27919\n23757 24842\n38569 38879\n21365 28471\n1676 50830\n26264 81662\n41153 79730\n37756 67022\n80509 92648\n12856 36858\n34894 64653\n70041 80760\n7360 23676\n60636 71732\n78979 87356\n14751 29946\n66407 81022\n59421 67611\n53180 82818\n38850 73684\n25262 55496\n25594 50337\n31098 64774\n21497 73135\n15302 62497\n81298 82008\n55784 64825\n19437 29475\n876 82515\n1801 57834\n52468 86114\n72212 77061\n10008 11753\n28112 71264\n3191 84349\n23079 73105\n7453 24481\n44946 52153\n19659 30288\n23472 60419\n36527 75425\n44470 51766\n74105 86606\n27698 39180\n84834 86525\n9827 64649\n32513 91435\n41883 57428\n22376 73804\n72013 91018\n62911 87310\n16302 28055\n37803 46461\n12799 55829\n64234 80797\n37894 86010\n3600 11204\n33205 55296\n17896 18645\n7825 74859\n81735 91530\n28787 86524\n30042 87525\n17089 87965\n38866 41553\n26923 28130\n59063 70858\n7067 67193\n25405 34452\n33688 64048\n26128 71552\n49272 55894\n41374 68285\n36642 48753\n17556 55222\n42968 55492\n7002 76872\n11933 51822\n2997 33770\n25932 67105\n33307 45759\n8985 51050\n68968 74660\n9797 82370\n1410 69645\n76744 79966\n31536 33285\n23828 62853\n34863 52489\n34302 45349\n44125 92572\n65305 85408\n2580 17921\n43830 48978\n61748 79045\n12697 52684\n54698 89654\n41153 79861\n6319 68072\n42673 75191\n25515 77124\n5829 46938\n3252 19839\n67648 83280\n12843 68772\n39111 64792\n41406 83674\n81257 91786\n55648 60268\n46215 69360\n4946 29115\n9717 11236\n67182 72503\n17044 59430\n6686 71330\n9690 50824\n20076 83675\n32079 48723\n58906 91231\n72351 90108\n66387 90818\n59164 67170\n22893 74674\n38278 82657\n73359 76226\n77431 82319\n19740 39456\n16513 37544\n31066 92756\n8488 83495\n4629 42500\n7728 24072\n9595 76996\n2553 58251\n8448 71465\n56395 91973\n52616 53236\n4096 56447\n9201 54801\n2238 37934\n4200 61583\n8073 88858\n7656 30513\n18178 91911\n75337 75516\n42851 84324\n6269 71991\n77500 88223\n33199 52729\n37693 87924\n16211 16233\n17382 19134\n41139 86321\n28854 41364\n15086 71446\n54964 79607\n14535 40706\n51544 77537\n15872 83666\n54673 91865\n53942 91808\n53754 69175\n33407 67896\n4319 90167\n55206 81720\n35560 91092\n28546 62927\n7505 37988\n48354 70960\n38970 81371\n55657 78647\n17051 82388\n43926 57729\n143 60613\n67130 81500\n16955 24777\n74548 85215\n54634 60852\n25471 35029\n11669 19872\n4814 64038\n74451 88235\n32021 76799\n4940 63462\n18911 63092\n5611 11488\n77177 84281\n45207 78584\n22297 36621\n71092 74447\n53852 68611\n44886 67782\n65549 78523\n17916 90879\n58002 75094\n62880 89265\n53278 69187\n20695 82610\n83625 84211\n13826 91474\n23576 81908\n3721 46328\n20511 84292\n6066 25692\n75356 85048\n51865 63023\n15297 58976\n17003 87800\n3462 77413\n58580 76694\n86029 91765\n17058 91867\n45813 64988\n10263 17533\n43050 87480\n6908 48572\n33694 61864\n11678 23296\n62937 76216\n17327 69340\n12684 35503\n17813 22395\n31571 82652\n37559 51958\n20134 48816\n2616 19334\n14558 26699\n26202 78085\n13146 20758\n36429 59423\n1806 62773\n49598 78071\n6941 16570\n73449 90422\n35509 91017\n22798 67376\n45320 72599\n49913 83447\n10641 82554\n24210 81666\n30384 32660\n18031 37880\n56509 90329\n29617 68111\n12105 67235\n37347 82440\n77561 79279\n13735 19394\n26735 91879\n43980 57207\n21368 71198\n12381 88667\n12654 52923\n13402 28282\n7811 56987\n52518 85691\n69001 78135\n19127 51387\n55617 68606\n67462 78242\n15671 56589\n14616 56255\n9099 41769\n19589 79488\n17439 19733\n19407 61527\n28217 35669\n14459 68419\n12489 78396\n54932 70024\n35138 91765\n5603 29334\n61383 76419\n26474 81188\n28547 52123\n49728 61923\n29991 47776\n2896 63692\n36317 49825\n20386 43574\n35418 58481\n41179 54040\n12829 41101\n36574 42839\n53089 77719\n36687 87652\n6341 37967\n75141 77623\n42259 82795\n2235 88543\n16528 72241\n42025 91762\n5850 26413\n40516 56854\n46326 80160\n21669 78089\n5911 80551\n8715 76328\n50981 57258\n18701 79730\n41061 75251\n5195 29774\n1404 85326\n63313 78591\n28024 58161\n10207 74483\n41999 48869\n39822 86655\n51977 92127\n58351 64508\n77774 90249\n31639 48425\n36232 50080\n34529 77023\n10611 58705\n8404 65250\n36555 45601\n30985 35585\n12804 14434\n51492 77857\n31381 79000\n18393 30887\n23701 39882\n21635 41881\n51594 53707\n67454 71714\n79520 83676\n42353 92053\n32914 85867\n16205 37593\n46607 66933\n68277 80454\n7293 83616\n46039 60775\n73145 78530\n4725 41511\n65194 74489\n277 88823\n69906 92512\n54924 64530\n26122 66493\n57533 58952\n3019 78777\n3910 58825\n47649 81115\n3343 65945\n12672 78189\n35097 79407\n46268 80561\n11689 35643\n7153 87257\n89259 92166\n24211 33088\n8012 82831\n11802 78797\n27518 30226\n56982 83089\n5116 31410\n41506 59198\n76641 88427\n17125 36566\n20738 31893\n51666 86906\n876 43617\n6830 32542\n78133 84739\n12088 22467\n41736 62697\n6153 60478\n38247 77146\n41284 79687\n44962 85015\n35628 82330\n38422 63102\n26854 48446\n7120 20798\n40575 87084\n3771 87978\n9868 59879\n15190 40919\n45882 52523\n30078 68555\n37803 56464\n23802 85816\n24970 81319\n5194 19673\n62280 86989\n66563 83367\n2038 68869\n11065 62474\n5560 14468\n39381 45905\n20990 37531\n21880 88328\n53017 59297\n36066 53872\n38987 52472\n13435 60413\n6985 17966\n23243 60699\n19226 56782\n18723 85913\n26864 71084\n39007 67315\n80621 81398\n74410 81624\n21064 92978\n4874 87926\n2481 7085\n58241 75248\n20454 88981\n59726 76737\n12900 36594\n12642 32197\n55604 73440\n21698 72300\n8804 17431\n2958 92312\n2372 65381\n35004 38785\n45623 48859\n61930 68256\n28954 63717\n19834 40298\n74554 85947\n74624 82426\n63984 80461\n44913 54196\n11781 14141\n64933 83884\n6317 57168\n39122 62656\n2247 7726\n39592 82806\n5499 51274\n32015 68162\n10664 36502\n40370 54136\n8692 86193\n17085 66376\n13626 85970\n4478 37001\n4611 52785\n17401 57903\n47038 91206\n14083 73634\n1244 54108\n62050 66663\n24773 63219\n31062 80741\n47474 55841\n19167 61589\n84194 91951\n52490 53252\n47925 70877\n43026 73964\n41922 59795\n21612 29075\n3922 88600\n21525 89089\n63155 77033\n7381 54855\n42307 73876\n26246 78178\n19681 37412\n38220 38508\n14947 20491\n1774 70084\n7025 70062\n21535 91802\n83583 90693\n81071 90604\n42768 85636\n54815 59293\n8248 50539\n20193 91286\n1588 92107\n21537 50785\n48483 54654\n24212 51758\n77303 86646\n10676 25553\n10119 76156\n74187 78903\n26272 52934\n26447 33227\n2547 3773\n15694 62945\n6380 35544\n43033 65659\n41583 58973\n52589 69153\n9234 48270\n14299 90599\n50703 64420\n2855 28333\n32626 38099\n10054 30838\n36634 47559\n23326 86585\n29813 82484\n31692 41855\n27198 56733\n65481 81695\n1391 30311\n6509 78331\n8559 35091\n5606 87026\n20275 84517\n30772 56107\n51127 53159\n11681 35528\n59020 75468\n7324 82505\n63258 67877\n62484 79818\n36400 88143\n18237 90434\n16587 61502\n26541 57708\n28178 46596\n18868 82548\n13247 73118\n20446 79227\n22674 79087\n10909 48817\n55428 78454\n14731 86799\n72212 91478\n2404 33972\n24346 72260\n7415 53482\n35652 85855\n83901 86999\n41982 65719\n22926 56251\n22115 45537\n22555 35652\n32330 37673\n22194 60618\n64457 67111\n7279 13458\n84623 88504\n19029 84954\n6222 53151\n66783 76785\n44047 81445\n68489 71505\n65463 65997\n44125 53582\n27391 54010\n38961 89280\n28092 28329\n34902 71178\n20753 63186\n1952 7221\n19401 62758\n82712 89316\n33532 56398\n24427 24505\n43984 75950\n22193 52398\n74892 85783\n10367 20184\n13112 64529\n26644 73903\n68082 90086\n17229 74868\n26459 62309\n12977 56359\n6740 50035\n44698 65027\n87 18056\n15694 58419\n53531 82985\n43165 74514\n27371 75169\n20202 46734\n21954 54440\n20820 49101\n6723 44931\n59386 92494\n62575 79167\n5224 89758\n42695 63538\n36959 51544\n7420 54854\n58728 67770\n7315 10238\n16861 34069\n24955 52556\n32900 77631\n26349 34659\n53596 73659\n19532 66123\n28060 81625\n37278 49280\n52513 67250\n12945 15514\n52171 60009\n17753 83505\n15880 91314\n23981 68737\n55413 89220\n26810 77874\n6294 26462\n25505 62042\n28489 75289\n2856 78222\n2759 36349\n16038 77461\n72552 80689\n49580 85017\n22334 62356\n34630 81323\n10594 74841\n17315 91040\n2576 5000\n61063 84173\n13846 37775\n2542 75340\n17422 39332\n21985 67384\n8565 78459\n16218 58035\n21184 32421\n28217 53774\n54084 69657\n46474 59856\n33573 48992\n40198 70785\n31333 59844\n75018 88989\n58573 66063\n7596 60186\n57592 88061\n66322 90140\n7980 17170\n20988 75031\n39343 92775\n18924 77881\n5588 77222\n83561 86237\n24422 31502\n11605 44131\n5463 44357\n13589 58155\n16239 26289\n40852 66107\n68865 78787\n23149 67330\n64614 87838\n66434 85239\n54469 86145\n31557 37527\n24935 49470\n7312 40918\n17390 46496\n39979 40270\n47424 75331\n1626 82731\n12269 45673\n53231 92146\n24458 35535\n8570 30260\n4933 78642\n48737 74736\n1129 3963\n22295 84837\n76614 80170\n29041 39238\n3410 6673\n53390 69799\n72017 88123\n18774 19845\n37868 57764\n81902 87424\n21539 28835\n70271 84033\n33440 90994\n81816 85982\n13315 70294\n6546 36209\n58728 86992\n32264 42574\n16186 43211\n29056 84874\n54263 67656\n14319 41618\n1625 36213\n6287 15758\n4493 87193\n6359 68532\n15745 80472\n50677 55426\n4532 48718\n57403 90078\n25640 83165\n10109 25093\n56339 83747\n15019 72982\n42065 69092\n38491 52927\n75453 76232\n86441 92703\n61641 67185\n28165 44538\n31264 40108\n7852 12070\n441 30288\n20519 43611\n31838 42013\n6535 11822\n64224 81449\n25775 49875\n3728 92358\n2577 62420\n22812 68289\n4246 19667\n17306 65345\n16876 82655\n6373 89050\n2357 35817\n3113 24815\n7981 51948\n28899 40069\n42999 83348\n37313 74948\n36114 63793\n31442 52811\n12951 34126\n36454 74747\n4467 50386\n48258 83380\n6436 47131\n54873 89983\n3281 59080\n3489 8203\n60216 63809\n37262 39388\n12370 28561\n38840 41101\n34147 73352\n28393 62062\n720 60861\n32977 53315\n40309 68186\n13578 54981\n2928 81537\n23167 47685\n70759 82285\n6647 21784\n7871 22963\n34173 74528\n51928 65867\n3861 21705\n15998 22448\n25639 33166\n30142 79400\n15238 76645\n7343 20567\n41744 42033\n4520 62146\n26012 27219\n4659 67751\n28233 32774\n40793 48492\n60498 66418\n38416 48274\n48668 64017\n2863 7194\n62323 74031\n2019 23702\n32163 60140\n7125 73275\n47818 55811\n49857 74645\n14298 64192\n68494 70149\n1486 5368\n36348 57799\n22221 39462\n6674 17371\n23599 81178\n25944 43008\n56518 81072\n34535 89827\n7630 54955\n8100 26778\n48689 75332\n971 64464\n72520 76245\n42153 68214\n9750 12630\n23133 38657\n31111 79634\n3549 72507\n34750 79685\n13157 73659\n47090 78593\n5846 72422\n49861 89609\n539 14073\n22039 40528\n64459 76121\n6971 52279\n59292 60647\n42105 69419\n39945 90217\n51220 55519\n42971 83939\n78375 78789\n17283 52147\n44344 77305\n6794 89256\n50539 85005\n21707 35160\n61026 78591\n29551 63861\n22557 34860\n54019 54870\n72628 86191\n935 34993\n17486 90124\n38700 76971\n69929 75965\n12742 25550\n59799 75295\n5816 7889\n15281 87601\n23491 58949\n40837 71610\n58845 79779\n18823 41870\n64351 70678\n71923 75866\n37970 76064\n35056 50523\n19284 79682\n23318 38152\n79 4993\n46068 56665\n10972 16506\n2128 4300\n25170 75070\n41066 64479\n5166 64203\n12891 88861\n10777 13295\n8945 71389\n4136 40748\n24135 25022\n50467 57168\n29262 66071\n13744 25695\n41296 72478\n4639 36602\n28382 52872\n79100 91918\n41694 85528\n12052 56548\n72012 74792\n19475 67894\n48768 51151\n49801 79782\n67756 70335\n27843 86905\n49941 68197\n48272 73483\n19576 22863\n7399 69101\n12996 45982\n73530 77490\n12560 69569\n34266 85200\n473 36354\n5444 55717\n26454 84938\n13990 32095\n16012 65974\n21634 83157\n72184 79580\n49782 63338\n225 81752\n4332 46121\n8305 85410\n14318 27387\n17966 60421\n47930 54771\n25070 33075\n61645 81172\n43096 84073\n40721 56383\n16515 21560\n61717 76917\n31018 71680\n22809 59366\n22165 54013\n51030 80857\n50856 90199\n24840 54917\n714 90807\n11522 27557\n12606 81123\n16340 35071\n5842 40837\n36314 40661\n42382 79406\n8832 66967\n27788 49713\n19451 55876\n15662 59119\n32716 37701\n7212 49238\n30224 44407\n42785 63405\n92251 92767\n12958 83392\n51022 51687\n3252 90268\n52525 55290\n62366 76244\n26240 51695\n69272 87066\n3448 89798\n47268 64991\n22259 76243\n72332 83939\n62869 64198\n41042 88628\n18345 87591\n14177 38031\n59263 91028\n7215 83436\n27840 84038\n47276 85384\n56298 93102\n15169 41554\n31586 37603\n22325 44493\n14205 86220\n72965 89355\n52943 85635\n25199 62165\n32115 59007\n74333 78128\n24737 33886\n33930 77632\n13624 50700\n24760 43049\n55396 89461\n13888 37273\n15242 25900\n34184 82162\n771 63470\n14341 43682\n3803 22215\n9670 12663\n13974 32925\n11284 54474\n25332 74702\n81345 89111\n42122 82475\n7623 24610\n163 83386\n2550 65395\n83003 88470\n10812 27118\n7990 87047\n49504 92852\n15486 63003\n33642 70204\n17004 67626\n18828 58780\n37534 76570\n43122 51011\n8124 67582\n44095 49471\n35918 62201\n7858 18047\n64764 91334\n7360 79053\n4728 85648\n5158 84478\n39969 45820\n14203 67145\n44874 66246\n25766 37950\n808 85490\n37358 87050\n31568 52174\n46048 79907\n47999 87217\n46289 59203\n59225 77474\n8554 33726\n22210 43208\n59367 60489\n52742 56380\n1772 90281\n12645 33536\n7636 87129\n40322 92123\n81707 83754\n43510 46862\n26851 80014\n10102 21636\n16128 74556\n25161 52259\n25361 71598\n29300 57075\n27286 53758\n8150 64956\n12229 91847\n52889 56780\n54090 55011\n75013 89112\n722 21531\n8163 28703\n40539 78833\n63294 72156\n3412 37572\n42065 90826\n15747 73912\n66513 78863\n25233 91011\n29894 80988\n26140 82985\n49397 63961\n4248 88846\n11828 58098\n44136 75600\n38875 77307\n59457 60045\n4791 74084\n1737 26758\n42334 90039\n23931 74454\n32660 41158\n26930 29717\n17936 64492\n12017 42799\n53444 78057\n39329 56535\n72126 76625\n30365 74552\n41671 42208\n22945 24257\n36802 59744\n15234 65092\n8013 92961\n83881 92383\n16744 55300\n956 50637\n5751 6706\n7489 43445\n66212 89078\n64170 67087\n59549 73208\n38230 62685\n6039 27515\n47687 67738\n59898 71081\n63047 76677\n22752 46018\n6162 59799\n57748 90599\n52121 64862\n50617 74316\n102 50491\n357 75873\n61451 75924\n68461 75408\n70526 78665\n31602 63077\n37610 67437\n40071 55676\n5277 70650\n44299 90542\n22942 23820\n25962 53684\n40981 47690\n30409 82307\n36675 60618\n59083 66156\n7433 73598\n8290 84522\n17197 29776\n22776 52399\n28289 39630\n23270 57358\n4046 92567\n17968 70648\n78450 83592\n17912 69344\n29479 85179\n46096 85686\n73105 89415\n10780 57053\n17760 88280\n53133 91384\n28618 48249\n20343 61188\n34362 74521\n41813 47156\n20887 33023\n61939 70356\n24450 67806\n728 81695\n14675 74031\n5432 25482\n13433 91061\n9650 55472\n7201 57098\n14217 50564\n48888 66969\n30985 80498\n22990 86544\n68571 87714\n29873 35299\n41472 68584\n3609 61271\n56951 83920\n23527 52827\n12255 40725\n20623 31478\n14103 67093\n34845 76002\n8587 75390\n34630 77770\n19275 77714\n11651 36816\n27366 84441\n31380 77530\n61620 64556\n26105 46549\n10049 39485\n29199 45029\n46584 53789\n22461 32118\n49013 50392\n41493 83411\n8577 65969\n24568 61127\n47461 89434\n12694 38673\n20201 64352\n31417 38475\n91560 92825\n18877 44971\n40444 89401\n9015 15195\n36835 42801\n35823 80186\n24506 85415\n39727 67474\n63215 64373\n36399 46135\n14878 87443\n87285 88909\n32730 58440\n55952 76371\n58516 66317\n55096 63245\n13603 86800\n29978 76754\n35251 92229\n23664 68358\n52699 88826\n23477 75909\n2202 92176\n24593 37054\n18853 48256\n15156 24657\n6694 50049\n47940 67727\n6223 87715\n24749 60665\n69362 90431\n9471 78492\n5551 55605\n2458 59679\n33108 51732\n38198 73119\n1290 30596\n53381 90697\n39294 55732\n29076 41620\n18340 37172\n59272 82027\n19646 39531\n38312 67337\n1170 63372\n19792 68780\n11075 82335\n41040 76568\n52122 86964\n79458 85084\n33178 34156\n43433 56693\n34281 78284\n2262 72518\n57038 73181\n11626 57771\n21290 32876\n47735 49194\n40534 72117\n81389 85052\n15787 66752\n29219 48566\n1812 73854\n21159 23582\n3099 38239\n25003 72017\n43137 76678\n20213 52094\n7424 15756\n71577 92428\n35382 52172\n33300 42554\n65836 90522\n21939 64441\n81135 89381\n966 52100\n21808 52601\n65612 72163\n29509 70075\n2964 20679\n45763 51161\n34939 83609\n37787 63501\n50604 88673\n69557 81927\n49216 59682\n19856 59410\n37148 88098\n39031 87619\n21860 32308\n12442 51473\n50599 70540\n9251 86932\n3227 61784\n61523 67882\n37232 66197\n12488 69900\n33120 77520\n59793 59887\n5091 9870\n20450 39412\n12779 52068\n41607 44817\n10767 69339\n7480 33978\n8787 31807\n24689 75388\n6929 45671\n5811 22172\n31074 76919\n36494 36502\n47747 86924\n42386 55777\n18805 60364\n1284 41744\n14400 58255\n47273 68813\n35724 40918\n5232 28527\n5578 17211\n72336 87366\n10434 62683\n19238 88858\n24294 68418\n61211 90100\n305 76785\n67070 89075\n35471 43679\n53445 75792\n40930 47834\n47905 50388\n48925 50828\n33191 70416\n69612 80646\n44267 63826\n18080 30042\n7213 81321\n50858 74654\n50764 54418\n22968 40642\n42440 88596\n35809 78167\n23938 79647\n24977 76127\n35190 81587\n44703 93012\n29496 57702\n13523 76046\n37226 62388\n3451 48021\n18513 55740\n2341 18415\n3996 36300\n43119 89120\n74060 75848\n41866 50067\n3155 57820\n60593 90919\n48774 56847\n9082 87759\n63275 72076\n6477 27791\n33880 73063\n13513 39717\n20280 35840\n27558 90867\n51096 67732\n39332 63856\n10009 88759\n35952 44060\n32296 66847\n12357 20694\n3257 52204\n15590 56873\n34469 39084\n22552 88685\n24716 44577\n41844 62031\n14061 49247\n46595 72872\n4971 80382\n27671 63132\n76494 90081\n28788 85293\n18596 67428\n83695 89961\n49455 51037\n3772 39648\n1567 59514\n3336 9813\n12732 68543\n47970 56003\n45772 46284\n49281 63096\n8294 31243\n14908 76869\n18804 26871\n19566 53959\n8548 9060\n6631 22559\n2878 50411\n59509 80957\n65470 90817\n9068 49152\n4454 29529\n39221 55473\n39707 92506\n22271 42022\n39784 68961\n3585 12122\n21890 62524\n9127 79923\n26341 46043\n19604 42856\n48881 57578\n14038 15075\n51070 63546\n31939 38463\n16041 32592\n12632 16659\n10409 34995\n54714 87131\n14967 93053\n7104 83076\n34374 40924\n5887 13119\n13105 68171\n48215 74657\n37486 63009\n39816 54651\n26964 42194\n73814 74356\n63147 73335\n76814 78695\n14164 83157\n44007 76368\n25530 72026\n34732 62926\n27457 76381\n21467 39130\n1824 64181\n41788 47486\n69645 70129\n11120 75318\n22617 66606\n58586 87743\n68751 81447\n3936 7093\n5190 30767\n38594 82018\n48596 53298\n50261 53618\n13877 52779\n43705 88796\n23930 28188\n15408 83738\n54122 76109\n4371 91527\n43632 80666\n21373 74426\n293 19001\n22627 72371\n28978 55140\n19472 19845\n35568 87880\n27998 31753\n25870 70703\n55226 62251\n33018 43204\n20622 54880\n42810 60663\n16089 92150\n45807 64125\n13369 25258\n1324 8165\n1994 8877\n9384 71686\n22632 43194\n10175 48997\n15329 18589\n44551 71334\n82366 86991\n29070 42015\n35789 77248\n6717 71688\n7096 41481\n30588 61459\n52137 52755\n3988 16480\n14552 14617\n27543 67359\n2249 80015\n7661 62967\n20779 36075\n75626 81364\n9951 25125\n59306 65124\n27700 51469\n19493 76428\n37814 63623\n52511 72137\n46917 74179\n28251 65358\n65894 76922\n26724 85777\n21132 42572\n44695 67722\n32055 50198\n72942 76797\n26743 53104\n10299 14133\n18235 84226\n22056 36563\n40492 91272\n41253 44852\n33717 91074\n46508 58902\n51897 62221\n33965 42791\n60849 72054\n44561 80885\n67005 70111\n847 80095\n68104 92227\n19535 75775\n6430 60977\n10698 38445\n12218 88369\n37407 69019\n160 62887\n41030 91089\n46181 70122\n59109 79904\n30417 77805\n33177 56574\n42564 47049\n14185 73014\n43315 50940\n40765 82763\n47223 86882\n7127 32837\n1728 56228\n11849 28132\n47645 63255\n24265 75390\n53202 82757\n47349 56445\n25287 46369\n3896 67221\n25975 88738\n18185 74801\n20634 69202\n52620 73810\n42420 54395\n41944 54167\n37304 92593\n11683 51116\n13390 40874\n23732 77246\n23410 78044\n10910 81494\n22336 88722\n1805 81698\n36420 50844\n28204 44719\n12350 63079\n3012 18594\n50099 81735\n55903 76640\n70717 93091\n10648 36695\n33132 38633\n21256 26118\n28791 55164\n31706 83780\n13100 67457\n53444 76603\n3097 43814\n10124 67610\n40576 67663\n79827 88141\n52095 91788\n46856 90248\n43009 44676\n46704 73749\n87251 90929\n3869 53889\n44703 90946\n56495 90465\n65192 67053\n73980 87679\n50132 53748\n46642 63289\n65306 74759\n49964 88151\n87488 87642\n36744 82256\n77195 85920\n78357 87873\n45021 46499\n24651 48226\n30 63690\n10059 57785\n75445 80033\n13326 82718\n37154 79793\n34244 80459\n822 19225\n9062 78041\n3186 60444\n11256 38503\n13279 66023\n29129 46401\n692 14290\n16265 32537\n2827 41830\n58497 88429\n26002 31358\n37250 49629\n2115 29278\n8157 10539\n12662 15923\n18385 87829\n217 85041\n51606 60240\n56372 79166\n53095 85874\n2815 42207\n14792 52691\n164 86978\n66008 68681\n1046 28042\n34433 40779\n5093 69160\n43360 65013\n21222 54957\n72219 87063\n20410 71630\n2855 71089\n47810 92542\n9666 82259\n34000 51213\n71988 74441\n33287 54817\n72922 78544\n20609 40534\n4906 32823\n68248 82623\n54660 56304\n35799 56700\n84470 89882\n1869 72162\n90456 92022\n32013 32528\n67021 89993\n19484 35312\n12683 85496\n4579 81849\n42146 50308\n80846 92347\n4933 72198\n41777 70068\n35920 71431\n20129 77803\n33122 78697\n29052 50307\n59202 79609\n41287 64604\n20980 44456\n51871 64378\n19551 33543\n20169 37230\n50186 79290\n74320 87274\n11883 57973\n53281 65035\n38183 45706\n590 82624\n8609 53153\n35022 46700\n38297 72786\n57569 76680\n84410 91549\n7168 44316\n44378 66270\n26324 29973\n45385 87673\n31011 68892\n53642 81456\n28210 60296\n8110 38011\n35637 51968\n16726 41643\n15577 15963\n19349 81118\n15665 34960\n44984 75879\n10908 84687\n83399 90011\n2280 56704\n72974 73601\n21809 77002\n52909 87324\n21356 90832\n15766 37947\n29881 32801\n22722 84756\n24287 60004\n66689 73162\n71898 73736\n5619 74983\n59787 85622\n41715 80056\n57724 63938\n31675 38199\n14991 44766\n20436 35817\n12851 50297\n41503 74367\n68725 74194\n62601 66988\n68349 91771\n64232 67003\n1669 50120\n9469 29975\n15056 86984\n81665 93132\n8943 53557\n3 26391\n6562 31426\n44171 76961\n32699 68279\n27574 69119\n65285 76631\n66331 71237\n20069 81637\n25161 27522\n73439 83065\n3112 27633\n27258 42844\n3215 30035\n66336 67632\n14884 64261\n25854 75863\n4743 28089\n43353 44904\n16877 64776\n12484 13771\n26118 49098\n22805 31468\n51985 53611\n37371 42795\n45673 90829\n36076 43411\n10363 90957\n31911 44796\n58830 70317\n38164 40620\n56268 85947\n22692 38195\n35179 56677\n1001 34521\n56398 59800\n42280 66125\n52712 82494\n31258 66825\n17110 21512\n40530 72380\n14240 35098\n42607 45505\n50518 54153\n12816 17353\n17300 73349\n38580 91197\n76664 77006\n56114 67806\n27008 39420\n52972 90340\n78727 91588\n38665 52405\n28830 56032\n64231 89199\n11691 88444\n6185 47521\n14926 85455\n15250 34700\n25311 72963\n71461 86831\n4587 72821\n11013 49391\n19699 80217\n16352 84382\n6970 32320\n31665 70467\n68769 80350\n75271 75817\n140 25432\n43548 60286\n46030 71022\n31781 79815\n32345 53100\n32654 80620\n14956 82054\n72628 83185\n11555 17469\n37782 88049\n37504 80102\n5343 40125\n9283 19900\n51086 51593\n80545 92851\n61596 81878\n54725 81257\n23265 41810\n85608 90906\n41292 88914\n24547 69280\n42429 79363\n28509 35062\n12421 41397\n71087 73344\n20584 43208\n79888 81489\n600 90904\n11688 33358\n1538 57298\n5275 8390\n45899 90495\n33719 43713\n14890 73576\n12049 54341\n72631 82730\n4166 24276\n3954 42885\n39120 85171\n32494 35559\n20956 77225\n21263 53361\n37099 48314\n10482 92738\n20659 69178\n41984 58868\n68897 83953\n8813 46952\n57499 86129\n18546 66506\n14393 92330\n74810 89294\n9041 11590\n10129 82560\n22457 80540\n70548 82453\n6271 37174\n1088 32307\n21149 51953\n42373 74913\n40270 67825\n34760 49087\n41459 83951\n54708 84554\n19550 52231\n50994 69556\n26246 80300\n85114 87262\n21306 27263\n50009 84690\n57692 88687\n29279 62581\n37437 52812\n7173 19152\n16572 71311\n36991 47772\n7839 68207\n634 11402\n10123 46987\n14636 29710\n6689 84924\n12111 87487\n3068 65528\n19276 32664\n54989 86106\n53048 66238\n54887 75918\n32068 41138\n76128 79377\n32386 35777\n55245 71582\n34008 34650\n34757 37917\n19394 75345\n21391 23709\n32183 67297\n27711 73093\n10499 47392\n11417 32927\n18145 23506\n1594 62746\n16294 71355\n23536 92118\n58335 72560\n22854 76412\n62840 81192\n68633 84559\n5501 23993\n8100 51068\n9965 48677\n9965 29515\n16405 55268\n18489 75764\n31264 38353\n21913 28331\n11374 59907\n51617 65697\n29615 92903\n51006 85401\n39562 49323\n30253 36254\n32627 83929\n43652 91641\n17565 84530\n44189 53864\n6284 42541\n40030 82824\n26211 28155\n54666 87726\n80165 88737\n9346 13004\n21613 91548\n30001 77187\n4139 32112\n52917 58151\n13246 72165\n49756 64367\n9491 87020\n26452 43222\n3255 41353\n71257 72308\n49816 87118\n8793 8875\n42587 78114\n6837 83513\n68699 88093\n351 84042\n15878 59193\n48123 73419\n35143 46066\n35952 47532\n59804 78275\n23347 66155\n59798 70711\n6738 28773\n64041 73683\n31247 82169\n5098 39152\n48546 81828\n35138 87066\n3203 57074\n25948 87295\n18053 38641\n33301 92198\n13307 86268\n61202 74603\n19688 91469\n11188 62832\n56623 72862\n53720 68058\n1441 77576\n53214 72868\n25033 67470\n23590 28704\n62482 68352\n49009 72900\n21564 42728\n1184 68868\n6206 45599\n22904 69370\n27172 82758\n78675 88438\n18263 40389\n17734 31912\n17094 67895\n50802 62628\n14800 45117\n85759 87453\n6042 33868\n25479 61417\n74206 77965\n20114 31369\n14378 36595\n18823 30226\n46539 53000\n30778 48615\n56721 79944\n16804 17949\n42856 59815\n47784 66177\n13814 56804\n84302 85406\n2975 59848\n18753 58779\n8730 8916\n48110 71596\n24700 90891\n77000 86441\n39481 62177\n41201 65390\n67041 80382\n25604 35168\n63384 63776\n13432 18652\n4408 42076\n23957 28304\n46745 68276\n9072 21034\n39364 55904\n15661 19702\n14429 16668\n14173 16679\n6431 64550\n43212 69458\n81131 84631\n12156 40306\n42119 53172\n42251 56181\n5008 9322\n26559 49565\n25123 71161\n18489 81149\n10885 14575\n3442 42568\n55128 73729\n51464 80094\n38193 85751\n3165 36678\n1826 25329\n7947 41480\n54881 65719\n26762 35828\n74987 92109\n18031 20681\n23617 54277\n33612 37010\n32360 53452\n17670 26027\n62879 80672\n47679 83070\n55914 73070\n25612 72156\n59994 74358\n69909 87741\n58077 62435\n56002 66022\n40879 75653\n24371 61712\n6272 38917\n27887 31065\n40534 71522\n10754 86914\n22120 36762\n32642 68222\n49720 84661\n65116 77074\n684 92671\n5119 51565\n75502 78249\n13441 26026\n26787 60341\n6679 58206\n13425 62175\n14803 85744\n11460 23398\n51999 72586\n78940 80018\n77051 77182\n13263 41511\n13015 74168\n42696 54878\n29864 44134\n4720 38376\n38476 54392\n1356 34649\n21711 41005\n14799 49610\n45370 61630\n53894 65409\n73141 83620\n58601 63418\n9546 58744\n8557 91498\n9225 79896\n28689 56033\n28730 79524\n26628 79975\n30087 68286\n15024 76325\n8712 53938\n14384 67171\n32053 85868\n26355 26801\n19876 49110\n45231 90807\n27305 50875\n34960 80817\n8438 78651\n6853 86659\n14129 76360\n23359 36749\n10677 52050\n70366 86055\n9095 58287\n38812 47897\n8227 84020\n27676 71779\n5753 46806\n20057 41489\n10122 13555\n19757 39297\n42501 69333\n27784 36893\n69646 76493\n54051 67998\n7011 47155\n43202 53943\n15635 70918\n6001 81607\n18869 91117\n72995 87536\n59391 68433\n51746 64791\n22453 37083\n64437 70809\n73638 74395\n6559 44815\n72938 85391\n48912 55499\n39158 49089\n4797 44133\n22035 85293\n14132 82661\n25293 70712\n13710 71406\n19010 75463\n2633 44018\n62854 82744\n6722 52145\n48537 92921\n14478 69597\n25632 87390\n3675 9307\n11939 47334\n12391 15047\n36600 44013\n27974 72853\n8698 38313\n43592 80895\n3735 29602\n43743 69581\n29851 47335\n38544 87477\n74869 89271\n38597 58452\n3652 90808\n42332 90177\n53434 62263\n41566 87525\n24978 60092\n28806 72384\n84326 85763\n6753 34323\n8806 40412\n39714 65349\n72715 82006\n14122 70105\n47413 52884\n57838 74697\n53353 67190\n23254 80945\n56354 65040\n3043 24555\n3467 32950\n55274 76358\n77856 80288\n52601 58860\n2531 61641\n24965 33068\n20283 40198\n43598 84246\n20025 82472\n9929 27441\n23490 37490\n74296 88269\n67138 77047\n37169 91931\n33731 79002\n29432 78174\n34796 69425\n4768 47579\n18911 62476\n6273 39792\n2807 48914\n12578 87946\n12157 33294\n60259 72880\n15271 56183\n9488 34780\n51093 69552\n63045 83806\n28569 39112\n16187 68335\n57173 70819\n28171 67068\n11499 81711\n17886 41123\n60303 68458\n49084 68567\n29453 58941\n40898 77174\n31912 59120\n29636 41631\n63685 90548\n5066 80186\n10111 45609\n81864 87723\n46775 53263\n13588 82368\n73091 85414\n46795 67540\n30870 48166\n53958 59247\n15760 33518\n74531 89831\n7679 63076\n67980 81352\n28017 42556\n46793 85091\n56613 71648\n50016 53480\n21098 51356\n60866 75539\n19908 62166\n18650 82409\n10164 58537\n23818 27319\n10988 56466\n39249 54516\n32449 55617\n23948 53836\n26425 88343\n14524 19165\n7337 63281\n11303 78586\n18165 48713\n3343 58471\n20832 83563\n27239 29881\n10307 53728\n7559 53807\n25 45666\n9868 92621\n15229 83030\n67280 73525\n9182 11137\n6168 75451\n11835 60124\n39425 54436\n36853 57612\n10136 27223\n43271 64145\n17984 75950\n21381 54407\n49469 91367\n14816 70910\n7601 89777\n30782 30827\n34308 59784\n15976 93154\n5123 77832\n45280 56076\n64984 73753\n4602 28486\n56391 77020\n29654 35596\n4442 82383\n8410 52038\n41157 55875\n55781 72463\n3240 49828\n34976 79318\n19421 40303\n32807 51453\n39836 47891\n17023 75633\n8489 47007\n69179 79441\n25587 77941\n64881 69703\n10803 23772\n26241 44391\n49008 67564\n28209 68892\n17831 86624\n29439 83154\n13499 84312\n34526 45722\n63369 77530\n28108 89652\n5046 49975\n27535 76819\n64254 87552\n3522 62149\n7076 75658\n20436 56927\n14959 47489\n43660 74381\n4445 87641\n11619 29708\n11836 79673\n50624 67263\n16924 48712\n13105 15934\n29107 57687\n3225 82622\n24569 60197\n18509 52368\n30512 30903\n3396 92743\n5563 49089\n3772 13290\n34575 50133\n37300 38568\n20422 24030\n45375 47591\n16377 86932\n54677 69799\n78271 87237\n4308 19929\n10035 28894\n11391 53718\n22313 83347\n6020 78132\n16796 89872\n10508 75643\n17994 79367\n2131 92151\n5154 29963\n29177 91776\n27341 44033\n38316 49185\n21943 71930\n6428 66162\n21463 33117\n3293 85453\n11750 89133\n40978 54012\n7497 61757\n6863 38303\n17966 61826\n3878 55526\n4836 9528\n11253 34197\n7858 90595\n64493 68183\n43254 71435\n31850 88219\n1183 78216\n33805 37411\n11570 54944\n30787 81691\n38844 42451\n56654 66354\n73687 82788\n38823 39500\n9129 40753\n12519 39956\n7871 15780\n5553 13597\n47875 66646\n44662 74702\n4836 63373\n17759 62761\n5100 57145\n73358 92036\n19827 41279\n4179 9501\n47614 74983\n18921 55230\n40033 54311\n39312 72667\n2218 56967\n69735 83542\n44414 52649\n53545 65406\n23345 83989\n79550 85993\n74828 84518\n6047 74152\n22989 77429\n1301 56675\n6337 66510\n46166 57088\n50917 80949\n57116 86648\n24795 70581\n3140 62578\n51227 88816\n12124 16345\n37392 59906\n10652 67933\n39355 78224\n37434 40547\n1499 34767\n8268 92136\n61632 85687\n3971 17361\n72475 73113\n39804 67995\n13743 27051\n44999 74386\n39567 58771\n31575 52482\n62542 88294\n24957 61377\n69568 92271\n26455 33558\n21316 59967\n14135 82858\n34719 72805\n47777 87480\n15925 50407\n72 87407\n16153 86473\n17564 24567\n5345 53846\n22555 74628\n46034 58642\n34114 83442\n27111 28404\n65351 80002\n32023 39526\n663 91218\n14739 66613\n1033 51704\n63762 76119\n23335 53276\n60966 70612\n32622 79797\n18292 82770\n8156 8889\n23854 73726\n7472 52223\n12442 30924\n67574 72481\n53394 54286\n34484 73197\n50761 59422\n19409 84176\n51913 76243\n60305 72372\n1891 55989\n32188 71435\n71663 73366\n5670 10825\n26071 74591\n19158 67720\n41434 61176\n19943 26858\n47530 77288\n74453 85710\n14090 44380\n71805 73548\n35781 39200\n8201 25921\n31594 67213\n15173 17677\n27265 39576\n56087 65688\n72762 79318\n33441 89586\n69397 75133\n40199 78638\n16170 75120\n76249 77479\n13341 20306\n61857 83391\n2393 59793\n79128 83572\n10735 73187\n58404 81567\n40901 92326\n48049 64491\n5826 66597\n24528 25626\n45071 64184\n18936 64738\n859 89295\n28265 68568\n34967 91768\n11855 11905\n10666 54028\n45796 49629\n7596 62344\n25434 38774\n8332 92735\n34937 80802\n16580 62439\n46598 91594\n13557 28209\n34755 36036\n31414 41257\n8555 16524\n23172 92148\n31308 68954\n23072 44202\n34094 48047\n42793 92035\n49972 50556\n48228 85168\n5882 43802\n45551 75715\n22791 74069\n1717 22683\n86593 90891\n36702 40368\n39133 76693\n72584 78216\n3354 61813\n71007 93068\n42021 57890\n41018 78391\n7543 73284\n9011 56494\n13519 53026\n43484 54049\n68142 84099\n24796 59197\n12972 29030\n56083 91948\n43446 45713\n35435 53516\n27220 58214\n71978 91232\n47107 58183\n5371 20447\n28255 79297\n20165 71069\n12670 35171\n47888 91026\n18238 31086\n29904 52204\n44441 52501\n28022 85389\n42213 56748\n20761 74027\n24818 43919\n60173 64569\n46250 72194\n6208 22366\n41334 63459\n16925 91820\n3977 51159\n15333 85280\n25380 41270\n36155 51371\n38740 40707\n5903 60779\n5101 84156\n8287 53967\n11411 82211\n44255 65819\n10066 37229\n3468 64302\n47884 58989\n62241 66375\n28049 45485\n39951 89400\n22026 45929\n7188 62182\n7833 76710\n17351 91748\n24947 39941\n12883 86283\n42347 73185\n54876 92174\n1471 15145\n42188 65044\n9510 43518\n29768 79110\n22599 59705\n73338 79642\n56472 84035\n66910 74312\n25438 43041\n17803 20778\n3040 65008\n5024 29450\n56754 73296\n42152 60727\n14875 70005\n65376 77877\n3881 72574\n39128 55803\n25469 69614\n25337 39491\n47284 81777\n14250 60510\n28526 30211\n39176 76500\n7121 68217\n18785 30769\n15371 52062\n53428 87702\n49769 56435\n7392 70818\n48864 58818\n5660 84185\n82266 86051\n41158 83488\n86855 91150\n37422 47310\n31879 57588\n68856 76875\n28861 87877\n25681 67500\n39924 55667\n61224 63174\n18366 42496\n11459 69740\n31893 57376\n8763 36637\n31869 80261\n30082 61418\n17842 52449\n68023 82227\n25002 48542\n21741 59807\n63512 68785\n38921 88522\n168 11750\n41957 54538\n5774 79545\n54900 61643\n2778 36258\n8652 65856\n20893 58619\n32240 79447\n60102 83277\n21699 29614\n44458 45061\n3101 88371\n4561 38375\n57776 89187\n65617 89579\n36255 61475\n22663 25786\n17043 42351\n48590 61485\n32430 32993\n2599 65355\n50024 63518\n56325 90707\n24283 56293\n41601 62835\n40285 63341\n32064 70477\n12400 47174\n765 20509\n42197 51956\n53645 62398\n32393 47950\n52354 78320\n10094 39891\n47881 60111\n2489 64159\n18095 43930\n36529 57657\n37137 50161\n7051 58969\n70578 77126\n56507 67766\n6925 40772\n22656 50157\n17359 26449\n10527 13857\n68782 82523\n6565 15721\n23946 45482\n65631 90694\n30361 89570\n2180 18171\n14728 31601\n367 2715\n85261 89567\n69535 76498\n29849 89047\n5641 17691\n49519 80884\n31134 62819\n24141 31991\n33448 78873\n15109 73510\n25214 58399\n34797 89570\n61351 91130\n85590 91405\n48617 89968\n62323 81520\n19113 55991\n58636 61585\n2622 54321\n76820 89387\n14411 59942\n43817 47288\n3217 90060\n51385 87175\n61210 67390\n30934 40758\n36320 66403\n45918 77988\n21579 39156\n1669 37912\n68190 90261\n78440 81738\n58831 84739\n59271 82367\n72713 73163\n13622 47903\n48460 57535\n84542 89915\n43019 85632\n31896 59640\n3996 40934\n29333 45904\n30038 62160\n58947 82868\n35326 80769\n40035 75617\n42118 54370\n10474 15231\n19294 68876\n3879 8644\n57138 73006\n2500 18673\n5048 50163\n34547 38551\n63640 72688\n58910 92605\n36481 62611\n18930 54845\n25931 78059\n19847 39768\n19870 71540\n2585 43219\n70100 90809\n58868 88470\n5331 28592\n39005 42473\n27233 72443\n37813 54203\n35880 75235\n3952 87171\n11796 50171\n18145 84630\n38475 50094\n24505 27300\n43332 65145\n42490 58026\n9971 88659\n39788 82779\n40485 64594\n8998 41808\n10992 76087\n18724 29715\n66511 79485\n7479 78464\n18527 36661\n48053 51087\n45894 57531\n28360 56117\n12781 32564\n2896 85554\n10132 73732\n4128 68846\n45166 80663\n53889 70430\n52006 91946\n3824 75986\n16152 40240\n23243 60327\n64791 65313\n41941 79110\n18994 32422\n82088 88927\n8349 46620\n281 68894\n22208 63172\n50795 81706\n21521 81196\n33937 73425\n31118 42239\n35296 92334\n18468 86446\n48900 86681\n52343 67789\n52540 73748\n71413 93016\n26689 36353\n83385 86360\n70761 86532\n46886 82144\n11841 70552\n16062 80022\n35175 36947\n7038 20277\n4574 24522\n16162 56650\n23151 44179\n8429 61145\n32131 58288\n3737 34763\n29257 58900\n1717 58768\n4313 68161\n63406 88348\n35114 55426\n92904 93129\n675 92607\n11491 84015\n52295 85021\n51019 81345\n27273 39656\n18095 85210\n37889 80945\n11978 72182\n5224 62273\n46512 55662\n16432 55476\n6440 57950\n16175 75866\n12577 61952\n11726 15314\n28960 66031\n46114 53977\n50565 59437\n21978 58676\n42599 49108\n35534 36901\n43342 73748\n21524 46198\n13251 60186\n2804 52982\n3001 66608\n33670 50156\n27194 50266\n24461 56281\n59336 87223\n21829 46073\n32927 34218\n34920 62246\n32812 55538\n6720 69374\n66366 92887\n92 87032\n11414 40495\n19322 29847\n18449 21526\n41296 86680\n27355 50567\n11318 78992\n15735 92088\n31376 44962\n28333 69645\n7015 37597\n51424 70410\n38159 80924\n71900 82967\n69118 78988\n17543 83860\n58950 88165\n87993 91708\n3973 18894\n10501 17022\n14187 69967\n40819 65202\n13573 87100\n11741 41055\n37486 91082\n36825 46994\n52622 56796\n69785 76627\n15825 62391\n10675 68874\n28704 73777\n42432 68270\n18094 29571\n49881 86487\n78239 81290\n17502 34542\n34073 92534\n11956 48811\n22112 62458\n21174 49403\n53586 79348\n74292 76026\n67949 71191\n1074 47738\n12030 33635\n41478 64080\n700 77921\n55950 88166\n54069 59171\n17067 51993\n8317 14883\n231 33025\n61584 73466\n24043 65433\n63245 88032\n65056 87723\n69547 71539\n29105 78524\n37671 45326\n79392 82155\n44677 83847\n22917 91929\n22468 29999\n54707 85022\n28069 51236\n28907 57234\n74387 75295\n23651 72591\n8235 78478\n8771 84871\n30458 66319\n10792 55782\n81678 81814\n29959 44615\n64433 92221\n26981 60544\n1968 29215\n9166 31772\n18814 69052\n24226 43761\n81854 85349\n17230 48382\n52125 79525\n2310 86079\n42906 65640\n16704 67334\n2517 73648\n59999 73172\n4977 14864\n17497 86285\n16810 59833\n10249 83617\n9894 62823\n24538 65755\n61940 69684\n24298 42369\n58801 90311\n10364 90914\n16766 87143\n22896 52277\n8674 49832\n8988 43282\n32573 34430\n3130 18440\n34956 88486\n1995 14000\n12562 33728\n16378 87700\n74686 89483\n32545 50628\n82829 85600\n29528 61458\n24623 64149\n33973 57659\n60756 66951\n67936 87832\n51153 73845\n80339 88328\n3978 60507\n64274 89773\n36003 61461\n9048 93027\n14390 78663\n42470 68937\n25589 89203\n58761 64680\n7169 45257\n43624 78659\n14619 65565\n10712 15596\n54989 62148\n76255 91361\n7998 55189\n18532 85122\n13650 31022\n10312 86582\n25741 72874\n26306 45976\n75156 85512\n19884 47636\n44058 66555\n12280 74833\n55278 56063\n37993 82495\n22339 80328\n41277 60711\n3048 12509\n10976 27981\n25595 41526\n13619 47905\n10854 24713\n32136 54882\n5728 33495\n3598 92943\n82946 91845\n49310 66946\n12883 26122\n51337 60221\n7104 88204\n37493 66065\n27205 77438\n18197 86542\n27063 48788\n26354 43618\n12579 87464\n66317 82414\n1328 83578\n4990 65524\n62340 77067\n7337 49676\n1122 82415\n41429 82617\n57387 85276\n12823 24182\n44749 77394\n63157 67501\n47009 85867\n70448 86236\n6142 22184\n7258 23352\n77815 91645\n18110 78231\n46449 63188\n16847 74128\n60168 91076\n7948 67092\n34225 46052\n15486 90385\n52413 87025\n51443 65463\n61486 64560\n30369 72690\n32583 73085\n29924 75726\n64299 71348\n34112 39473\n30023 73949\n42529 56115\n60228 66002\n20431 76441\n79744 87735\n24901 81784\n30600 47685\n39456 84224\n52162 59907\n16650 89953\n28110 82142\n41398 88751\n54493 86235\n48409 49360\n73019 85772\n45524 77087\n83912 86764\n45370 50580\n12585 37697\n42231 54461\n39772 57693\n19573 70880\n22171 45931\n40282 89076\n17670 23707\n10964 56054\n9609 63359\n51553 89940\n35093 42505\n21783 45273\n16583 36067\n32885 34777\n52522 68276\n31890 62249\n8892 55507\n54958 77381\n68670 82134\n16965 18428\n43565 54652\n85571 88206\n87644 92136\n38644 41578\n8148 87013\n33095 41295\n8907 23032\n7128 79525\n36583 44451\n41404 92002\n72714 90967\n11006 84688\n57305 61737\n22709 69500\n30554 69150\n48210 63271\n82494 85500\n19575 62428\n9273 42201\n58536 62944\n47550 63946\n32738 48038\n9233 39565\n54811 66084\n44043 86158\n3316 61259\n6264 28996\n1635 66293\n32651 63394\n8409 79969\n21158 22062\n1509 7774\n14256 77883\n24935 82193\n33438 61603\n1111 42725\n11187 66524\n11119 75959\n7535 13044\n12430 85116\n64753 81726\n11032 85353\n39690 89175\n10748 69396\n63267 74912\n22984 81948\n22418 29740\n21190 35802\n44053 55434\n13131 90899\n45041 61417\n12191 17626\n3938 59673\n52140 75983\n56703 76189\n32053 49363\n33422 36349\n5500 82985\n21153 27569\n32844 39599\n32371 85356\n15287 42079\n32557 80241\n37695 63758\n57381 81703\n64629 65371\n55331 83726\n36454 63218\n82110 92347\n8116 23624\n23567 92407\n15578 68985\n18612 76014\n47011 67188\n38915 71604\n26327 45440\n50149 81370\n9664 74983\n31568 53401\n40867 62703\n33425 72136\n31303 40064\n37203 52736\n9100 90384\n7845 29140\n13879 22790\n62772 81896\n69753 88382\n2047 52164\n34558 67989\n57957 58633\n8739 18457\n15880 77783\n21069 76071\n40721 70168\n5735 91493\n2062 46523\n17101 85420\n14515 58705\n15002 15851\n19385 76642\n10957 35934\n18320 31646\n453 17052\n62994 75993\n17453 50100\n9388 10591\n69506 92834\n54542 58371\n8509 24440\n2035 23567\n15007 74007\n8988 24367\n18200 46797\n9613 41282\n71864 82711\n9114 75450\n33388 74983\n4931 23850\n53282 83420\n27408 27609\n17393 21769\n50926 75124\n20715 60849\n29832 92820\n45176 80303\n3173 81380\n8820 75989\n14445 27442\n55746 72251\n17447 69877\n4206 22276\n29438 74051\n67606 93103\n51566 76177\n38904 74784\n8472 75163\n34920 65189\n18538 66547\n16984 67329\n47686 72346\n67822 72212\n47383 56679\n44335 54281\n42168 74824\n248 74305\n28557 53849\n89849 92413\n20692 27212\n12151 73966\n59336 86899\n67420 78498\n39364 82309\n50584 91955\n7930 59112\n55811 92371\n68737 83743\n79494 91877\n639 67834\n54030 89128\n34935 66458\n36924 50367\n10301 26700\n2645 71556\n48116 93174\n5421 90933\n28158 86794\n28716 36813\n46172 92639\n3871 19588\n47793 55274\n37976 66199\n39461 49033\n62643 91270\n30688 79312\n5212 5268\n4075 56607\n20362 33718\n3770 7563\n28199 80518\n7259 74586\n10102 81923\n29229 31083\n7133 41521\n28376 92467\n1280 91564\n35737 41748\n931 67191\n13015 24888\n29863 65071\n45225 92792\n80313 81700\n81120 85133\n22599 55796\n65466 78821\n15679 75273\n72296 85195\n48536 89719\n821 86569\n10977 35475\n19265 90795\n4341 72502\n76028 80837\n17660 58592\n29254 55390\n2163 67528\n72480 87457\n7923 79131\n41060 57185\n33475 39562\n45475 62957\n14270 80373\n28701 77087\n31705 32852\n64131 79895\n17205 88038\n530 1972\n20044 20982\n21686 64184\n35931 92154\n13951 68848\n2445 74760\n20398 35028\n2500 78086\n62579 73301\n13184 72127\n933 37778\n32229 62640\n16636 88653\n54503 68914\n42277 56698\n18064 25798\n14402 22192\n5011 39337\n5065 34463\n36883 45304\n28001 74990\n15198 65210\n35185 67320\n19346 89860\n21548 42184\n16744 58919\n69053 88496\n25238 78538\n40351 43633\n39910 49190\n7893 11927\n50785 64249\n16525 79783\n25017 85801\n23601 47219\n31275 51057\n34864 64622\n13398 61451\n19389 41667\n5015 50344\n20141 72935\n8760 74892\n50118 51191\n70785 85571\n11790 63358\n34942 62256\n79054 89770\n41981 78937\n40053 55609\n75561 84639\n29690 68675\n45369 78437\n77293 78145\n14187 44497\n10257 62921\n65104 82517\n18102 68059\n1754 58334\n28044 39482\n14243 35696\n1886 89720\n77639 90793\n41755 48414\n33359 91037\n34254 45812\n17423 55920\n27865 91735\n42750 58243\n53293 60241\n13101 85921\n71342 80273\n79071 81409\n17415 44370\n78619 83238\n24796 79932\n46271 63037\n40833 69755\n19902 24602\n86146 88817\n42407 71650\n69285 84463\n52844 53803\n26568 78947\n4032 88552\n17862 64554\n78213 88408\n63388 85379\n60631 76998\n46702 53440\n59284 59993\n12968 47755\n20336 40166\n20568 35064\n5273 8297\n5411 51788\n21183 23873\n33646 60210\n16721 29516\n53104 84378\n4269 53184\n43250 84536\n42325 71084\n569 44441\n34565 41667\n56335 80348\n32471 61598\n19245 34167\n3441 32688\n45161 60762\n15996 64782\n13103 36877\n36961 68663\n50201 81097\n59945 83189\n19807 86949\n5224 72073\n36285 42159\n55122 88256\n16652 63396\n581 14098\n28566 31251\n19184 61391\n28436 69564\n42272 43550\n13408 49386\n23439 50996\n52736 75759\n29832 79278\n22334 74063\n26121 83526\n72211 86381\n47830 81193\n58129 66585\n17366 49244\n53866 88043\n44902 73901\n46484 92971\n53469 73918\n46298 76152\n33086 83344\n3821 63110\n11978 83064\n56365 57327\n33173 62170\n4893 49257\n1349 32601\n75366 91354\n78549 93106\n64983 76833\n32181 49533\n49502 89890\n3749 5225\n15185 49035\n59350 63044\n476 75673\n21419 52762\n17254 88195\n19262 69321\n51659 91688\n11527 89964\n8213 21858\n24597 83310\n42064 56884\n39115 91156\n13238 86796\n59285 71308\n58757 64390\n408 91859\n44003 55848\n56126 61279\n46548 50935\n34873 56523\n707 29562\n69 88403\n48146 55526\n34672 65299\n22734 45447\n5351 55897\n85545 89460\n66100 83841\n5544 77395\n33372 57626\n80587 90617\n43783 76572\n38360 83037\n48527 67655\n5256 55526\n22506 63890\n11538 58973\n32307 49402\n82156 91765\n4762 10110\n26117 39775\n29370 66912\n23462 33356\n16560 89169\n34 24566\n83844 90837\n303 57915\n43682 84390\n47927 54512\n14580 77240\n43820 70169\n43099 57184\n63941 80255\n53286 85937\n23299 26874\n28419 48827\n65260 92576\n25018 89220\n32704 37384\n30405 37819\n3394 6915\n17447 18782\n55486 80042\n54746 74013\n7212 45410\n66 12715\n12264 21484\n84857 90533\n31557 82354\n44536 61218\n51046 65820\n13126 60384\n48942 61031\n47818 76795\n42053 85011\n21826 45094\n56097 85232\n22550 68018\n1091 59303\n23653 90750\n2280 19192\n20886 54809\n16156 82258\n1044 25038\n12115 50385\n44484 66603\n28702 75299\n6722 66496\n8642 14118\n41975 48854\n40972 49233\n25741 73327\n28601 31781\n34753 41074\n12331 48841\n2812 58992\n23275 62907\n35306 78882\n32066 39390\n19117 72904\n4859 18594\n71999 84555\n36453 44783\n22391 81049\n34927 60743\n60859 72021\n31551 50443\n29773 83966\n13548 80600\n84597 85772\n11585 81059\n10281 48395\n12579 32112\n34395 61466\n47921 57236\n33499 69036\n36463 38114\n58246 87481\n66295 86936\n40721 60802\n48718 54474\n28974 41752\n18193 26111\n45023 56479\n57560 88366\n89069 90619\n16247 43246\n46006 49089\n16384 65954\n44706 84546\n31256 82059\n4584 53680\n31847 41232\n24552 85834\n13287 18128\n48794 49994\n34566 38712\n20945 39462\n24282 66933\n14688 72194\n60445 60493\n33081 66078\n44183 62259\n48335 59500\n28448 63735\n20550 75828\n44361 78799\n10353 71737\n48256 55182\n67622 78426\n12659 85202\n18104 46957\n34913 65629\n6206 72129\n1604 29359\n37120 84308\n3756 65519\n4566 6440\n28580 61964\n4030 90238\n21383 42125\n38597 71576\n60451 83705\n28520 36747\n90681 91882\n3396 31481\n14120 62422\n33814 41717\n41328 45068\n22353 24761\n5032 23144\n18946 32720\n33750 70114\n55839 75594\n30749 64238\n35843 88504\n49737 69756\n8907 38718\n21090 23873\n36412 65966\n4353 70400\n45289 52608\n48126 67138\n78400 83977\n49403 59781\n43949 62429\n30182 76291\n11830 60328\n68283 88109\n16168 39824\n28332 92071\n40012 87289\n62487 63133\n13303 62569\n12827 78176\n27465 88037\n22031 67200\n19710 80534\n4070 45893\n13780 89354\n10286 50382\n28231 92598\n39601 47219\n23671 81380\n18044 66317\n25760 42656\n26315 61422\n52412 63100\n18878 74988\n76867 87477\n53840 53933\n68373 74271\n17378 53208\n2459 91352\n16502 45146\n7571 50032\n64087 86656\n34266 58183\n14705 35195\n5532 73506\n463 35686\n7610 69215\n525 32537\n17795 60563\n16012 45666\n15880 75936\n22431 78661\n1619 61651\n14823 57688\n36182 76308\n2956 30696\n23695 44103\n48712 52893\n8170 52731\n17629 85079\n20614 50759\n8366 90387\n8188 23866\n37264 47782\n49340 69565\n68687 87584\n21400 92028\n7492 62751\n51689 67852\n70153 71716\n22086 60622\n58197 91602\n22700 75630\n6623 29634\n17762 73126\n54757 73258\n14910 66933\n89505 92874\n39298 71745\n28567 77840\n54434 60843\n43310 88676\n41048 92037\n1797 28824\n50387 52483\n34402 64426\n31681 80189\n31889 80403\n53734 78919\n16092 70521\n55105 74517\n27808 87513\n48073 56582\n61877 72247\n48224 63194\n79013 84054\n49381 90982\n4374 34824\n57837 67105\n21731 57177\n80701 83033\n20007 40772\n9820 35145\n4091 19905\n37986 71186\n66932 71299\n12089 51362\n1185 17991\n11451 78838\n17607 82206\n30505 68496\n19673 20109\n77828 83016\n15370 16194\n12137 31082\n11882 24049\n62602 90985\n29104 48388\n58962 88667\n11743 38736\n59400 85685\n44520 92921\n25969 30234\n45596 53556\n72043 92599\n49396 58110\n10317 24131\n17150 66338\n70213 85386\n8348 89059\n22434 34018\n24395 78670\n43813 45228\n882 75501\n1585 49477\n844 91201\n6780 50759\n45029 86842\n9679 81674\n55061 84975\n13403 26958\n53094 68143\n68875 85329\n23385 65339\n56482 64168\n3333 12319\n41715 88817\n74339 80057\n83814 86899\n47214 78905\n13 81594\n3952 86965\n40117 72743\n23755 90081\n17999 32601\n1363 62879\n43954 87994\n7195 82843\n26593 29079\n17512 56900\n10122 71016\n52134 57228\n52295 60023\n66901 88282\n10523 56633\n57178 73415\n14239 67256\n24296 28032\n57833 80861\n2629 19605\n13789 35699\n36981 77897\n24764 26258\n13876 62596\n19112 44013\n12286 90042\n40489 80210\n38937 43180\n13398 61035\n18061 72494\n72394 74582\n58677 71431\n40458 82247\n27987 36856\n39279 40875\n53912 79128\n24312 39451\n17746 24778\n61660 61990\n18550 90689\n12325 74798\n36064 66916\n66031 77781\n34400 78608\n75527 92152\n33492 92993\n33375 87951\n47413 59932\n43077 74717\n73853 89053\n5334 18055\n71336 77083\n74409 89460\n15289 61912\n19286 53826\n483 45133\n25520 90753\n35684 53008\n42245 44825\n79265 93038\n2884 60373\n84695 90099\n3884 45958\n44192 44619\n17481 38217\n49590 77026\n37024 71336\n31044 74348\n33268 83675\n1643 90115\n75193 84845\n68884 86645\n940 43823\n10557 77498\n57541 64592\n8029 84557\n54763 76411\n34640 64681\n3158 88214\n46116 82135\n60963 62133\n28760 81808\n66737 76496\n29909 37709\n11356 66493\n32879 36159\n16950 30804\n4664 13340\n24851 29365\n18536 38313\n73517 85880\n2951 87964\n48996 62969\n11340 29330\n10611 92932\n4004 53197\n20328 77481\n20887 43643\n29537 80278\n37027 89120\n19150 38987\n22995 67445\n39321 89957\n7782 9416\n37830 73847\n26153 72918\n14159 65273\n39980 80086\n11229 87156\n58260 60907\n20291 59403\n32543 51176\n60221 77856\n51409 78135\n25449 61209\n39019 53870\n82643 92321\n12866 63908\n32907 34261\n2161 81433\n487 30558\n3102 51260\n55375 69178\n22266 25756\n18032 89669\n26073 59741\n34362 48828\n8466 35942\n9476 26728\n35691 78753\n29334 70353\n4881 31162\n404 67273\n32973 87785\n69550 71023\n3721 38765\n73317 79728\n69368 82955\n1197 43022\n15742 46178\n33241 90395\n41254 68439\n14072 88389\n23970 76114\n21549 24702\n38194 59250\n3846 21864\n3243 84958\n25199 73853\n7194 26874\n44554 82671\n46563 62414\n26058 45462\n4389 15453\n12331 77092\n18723 68239\n34482 53984\n3518 51055\n50200 79761\n35903 61453\n42865 45197\n46631 85412\n24271 30211\n38680 80397\n318 40085\n41437 44934\n15432 37513\n8754 84373\n32265 82962\n24949 35787\n28995 62767\n48507 74804\n20950 27096\n12542 65362\n36074 93090\n642 36794\n46246 61949\n34446 44754\n79005 89548\n33195 62503\n74491 75855\n1820 64474\n33581 85955\n23379 85728\n79818 85570\n57222 90879\n5476 23170\n40785 50551\n19648 23340\n36786 52261\n40499 78061\n22530 67759\n32310 49388\n46179 53966\n36342 89395\n66906 86467\n33576 38815\n8306 44295\n74170 75284\n40263 88914\n59582 91505\n5997 36459\n26995 79258\n21513 74618\n68824 90108\n22246 54888\n20776 26097\n69774 84573\n23454 32707\n16378 18642\n31373 91872\n11526 64414\n18403 64096\n7615 82663\n54667 82089\n24501 29266\n19385 73912\n56900 59630\n63255 88132\n45995 88840\n42270 44509\n15990 84365\n30935 52152\n33466 76152\n53132 82052\n7717 42023\n33756 87978\n31967 33756\n22233 23649\n43984 65447\n5565 28634\n36719 75968\n17869 41503\n13696 40388\n16230 68810\n57934 60695\n4534 36975\n6959 10474\n10482 62955\n76157 82220\n60688 82736\n67942 89318\n12215 14846\n44571 50541\n45452 65506\n73096 81113\n41074 45356\n4528 5486\n38746 70227\n27717 56525\n80851 81699\n53834 83723\n67814 74743\n1425 6095\n23950 88617\n322 5477\n41211 58041\n12661 65123\n14865 92093\n7830 51355\n46341 88313\n86782 88003\n33974 34540\n10574 83787\n38936 71799\n65400 80878\n1402 78340\n3032 69915\n55221 80521\n33746 75772\n61605 75383\n3756 89638\n10456 80160\n4027 8082\n27135 48430\n19033 64555\n16007 51588\n9970 44126\n24388 62313\n30523 41345\n1127 67200\n31812 35173\n79683 91243\n29145 81978\n30746 72161\n7817 85010\n1944 40942\n21985 71738\n24286 42476\n60939 82260\n14507 40721\n64484 75002\n14328 44440\n12919 86783\n15507 92734\n1081 46230\n27077 56603\n22675 76044\n33219 89344\n24968 46729\n21950 91007\n3266 74034\n8176 59117\n5316 30417\n34965 66789\n1497 44881\n19071 85466\n19321 22790\n19955 56201\n39415 90515\n20809 80017\n5689 41559\n14817 71479\n18004 74184\n8269 86183\n19391 93144\n4545 70799\n40307 49347\n1719 42646\n4530 54992\n1619 11166\n49615 65928\n24323 68296\n76641 91550\n36733 39249\n80294 92880\n59772 70935\n9650 85972\n17719 45567\n48198 77410\n32335 59756\n73884 85092\n53840 61188\n23123 25588\n59595 87602\n65395 87666\n3912 37249\n46752 49731\n47838 57245\n3721 15017\n30256 47605\n17822 34768\n41914 70253\n22026 24459\n24987 78484\n36096 49025\n17495 80246\n36160 77628\n5209 77676\n48777 57075\n12979 68080\n65354 66703\n23364 60850\n31471 81558\n10360 51351\n23404 88832\n18840 49402\n7827 27242\n7246 68026\n53080 70488\n20139 28512\n39809 69735\n2844 32591\n19541 69713\n25499 58731\n2665 27174\n65152 88590\n7774 74385\n74424 81970\n21225 60372\n30519 52421\n1910 25943\n24852 65575\n21146 60052\n326 87653\n29660 57519\n27557 32397\n4362 43134\n6322 89263\n8591 37606\n31331 63102\n5294 56837\n624 13561\n29119 38434\n62700 89444\n39112 93059\n36737 37574\n62297 89439\n10513 63797\n69137 81910\n58438 91569\n119 27919\n82184 92252\n9440 11132\n26292 92898\n16837 62994\n4991 19971\n64508 66696\n49751 65397\n15969 19289\n17421 52432\n75449 79674\n19764 35427\n41793 73675\n38353 89482\n18469 70446\n3418 45636\n37016 90494\n11138 28565\n324 48930\n7124 46330\n13052 16778\n73477 74752\n2478 58945\n58737 62150\n2609 39284\n32628 34684\n17762 54851\n19042 58315\n29755 87110\n20875 42822\n44504 54378\n3576 17061\n3275 72728\n47627 69191\n58783 65785\n9819 74687\n13763 24271\n59615 89087\n32369 33804\n33499 57449\n13419 58023\n27631 34944\n25236 42869\n35369 66266\n30187 47345\n38421 71842\n42804 53476\n50050 62563\n13894 27999\n7655 70655\n38506 49817\n21654 24888\n68347 83213\n2727 46739\n24328 56623\n21976 89897\n22412 84307\n5159 60044\n47273 68453\n23064 29543\n8077 56964\n22593 92496\n27886 29692\n11025 88170\n61172 74481\n43051 76580\n3545 38066\n31741 63764\n12173 58863\n5245 82221\n25943 84387\n20566 79271\n34917 57509\n73183 74993\n53801 86338\n6637 16676\n21793 31451\n44733 69659\n6520 35571\n45472 83538\n49790 80960\n33714 60922\n25240 31886\n54160 81067\n74370 79488\n12841 22864\n75027 89504\n19783 87747\n18421 89046\n84923 87898\n29302 33148\n28122 79809\n17836 69428\n90513 92402\n41197 71938\n39492 44865\n10455 66066\n34486 91013\n42527 43172\n4114 62940\n73954 75219\n64367 92119\n42234 77511\n19522 76936\n37795 45360\n55957 81026\n57785 64159\n893 79286\n19908 77159\n11477 56267\n14394 83576\n45056 78516\n6205 30007\n40980 73967\n56311 89134\n14986 93150\n3200 70535\n5126 69604\n60678 72751\n30523 66172\n56132 87924\n61675 81625\n26216 39496\n62869 74112\n19795 23669\n52916 84110\n71811 89429\n12877 26272\n1736 2295\n21670 47663\n39783 73003\n17577 77901\n1339 67318\n26295 65578\n67273 92440\n32874 87787\n21056 90896\n12578 25110\n21998 22640\n16842 83048\n48630 79398\n22175 41394\n16162 78318\n16411 55060\n44728 89633\n13558 67093\n53092 76942\n40918 76036\n19420 49980\n18332 40136\n46233 88893\n20258 33595\n28928 88863\n37542 62120\n26673 74022\n4627 83089\n270 50581\n61592 64634\n31073 62268\n50692 76012\n20405 53495\n15836 24319\n1416 24075\n70908 81973\n18551 75024\n27665 61948\n59959 89694\n43826 62974\n52332 84862\n63605 87939\n10633 23820\n81748 91719\n4544 83274\n5362 89891\n55400 85091\n36172 74891\n14608 44779\n16891 90248\n5823 64768\n23320 55189\n40298 60534\n31458 83518\n47869 50959\n23658 32257\n9719 40676\n47363 49355\n10872 91882\n75803 87588\n29690 40726\n24300 45124\n420 74533\n1027 83221\n28533 49140\n15151 44228\n70010 92302\n6553 18479\n4979 66550\n59860 88504\n67599 72353\n8693 41427\n2436 15343\n53015 74506\n30844 73020\n37135 63711\n60795 74735\n46933 90877\n50032 68093\n34657 56178\n62604 82866\n61398 81681\n26208 82808\n5741 76017\n56535 76738\n24138 78990\n64405 88002\n2386 15538\n933 89890\n9393 67136\n28102 62219\n41098 82413\n25530 71306\n86511 89283\n3551 23608\n13115 70535\n86462 89961\n47726 51935\n35622 63238\n33434 68826\n14812 45941\n827 42317\n19734 40400\n55923 76435\n64524 75889\n31840 66796\n62767 86641\n5472 47860\n58459 66342\n35851 66607\n70057 82402\n49757 92331\n38102 49782\n8516 69835\n14448 57049\n41236 65004\n63130 86188\n57938 92434\n56744 78377\n65764 66965\n19917 68862\n52201 80265\n12307 23580\n74308 87494\n51096 83468\n43181 54587\n27589 34722\n49052 51959\n17814 78684\n76172 86236\n32210 68104\n35000 58125\n6657 44746\n35052 80061\n67652 79850\n51236 81624\n13911 24356\n8358 60412\n60043 66135\n26466 77178\n16076 24649\n79965 84152\n16763 26444\n16781 28284\n13055 38444\n29902 44740\n21919 27968\n6750 49821\n38478 67849\n11428 82328\n4559 34919\n66020 70208\n8334 44154\n18803 59078\n33493 64865\n24467 88349\n1242 63294\n29671 78461\n43152 45990\n4805 12445\n18552 72028\n23242 52969\n365 33759\n29939 33957\n41271 71434\n10597 18508\n63110 79994\n43717 46621\n52219 76745\n66580 72025\n32619 56294\n45757 46234\n61100 67257\n4197 28885\n32695 79953\n70735 77102\n17566 89149\n44393 70968\n28798 56446\n53249 75575\n14075 74497\n45058 55157\n36472 79093\n50835 56271\n82135 85136\n48815 73900\n47942 69331\n65434 76194\n62852 67350\n37493 89397\n5345 50368\n820 77138\n38352 44552\n28893 46562\n35958 57386\n37879 57483\n9030 59687\n69979 79487\n17232 66851\n13381 65192\n43488 71820\n5896 92420\n54778 90141\n47076 59334\n15544 86970\n54912 65126\n63430 91673\n2837 10775\n57571 89337\n37008 52680\n44510 68117\n5504 77133\n13469 64354\n13027 69262\n8658 45367\n26271 56753\n39943 63698\n52250 68030\n54517 68922\n19644 35886\n72473 73879\n37621 43861\n64880 78124\n708 29051\n5773 12685\n57268 62952\n7045 71228\n17011 20874\n8160 77632\n82755 83318\n52365 74069\n70228 73167\n77789 83859\n25618 45505\n8134 9564\n12607 81039\n35321 70758\n10239 14651\n42267 61418\n7792 50995\n46275 66564\n45992 79510\n6969 56438\n21092 34067\n35602 58757\n12222 51793\n62886 69878\n47990 88224\n3670 62119\n1984 88735\n57634 57701\n20516 83014\n34530 87437\n40353 75088\n29928 31238\n43017 84152\n17293 62455\n49897 51067\n45399 90599\n30346 36566\n70205 83339\n16628 31884\n71502 72780\n47177 80523\n48616 68688\n43432 85310\n8784 24072\n73395 89186\n9842 28313\n43304 72912\n10533 35840\n52790 83588\n14168 63778\n42729 74521\n43708 87687\n848 49847\n57961 69326\n11299 88346\n50091 50800\n50652 54077\n28163 69710\n55280 76637\n76235 83564\n17052 26092\n24900 48854\n54215 68319\n12090 69714\n50729 77123\n24520 27569\n7312 64576\n29621 33384\n21395 24442\n38194 82192\n65895 69664\n16845 36360\n31254 35305\n18822 60040\n12951 91592\n31685 38852\n62820 90069\n64924 92327\n9296 52975\n14792 58267\n74633 87748\n34550 70632\n15733 21115\n19822 75214\n3484 48626\n56761 65648\n30037 39561\n18887 63208\n63229 72068\n40605 83375\n3153 46568\n67749 91295\n71108 80039\n47210 60061\n23478 52550\n32308 42558\n39408 62956\n13712 25033\n72911 78247\n15468 43622\n9781 78344\n50436 87809\n15319 61680\n17826 26916\n39753 71651\n15109 47688\n31572 35741\n76674 79196\n37980 80594\n1841 89401\n28010 78920\n54136 77077\n14026 48794\n30505 71110\n10461 76414\n7490 30197\n18185 25102\n12786 81901\n5550 13990\n30461 51823\n19115 65217\n24814 79500\n12467 83209\n17826 39901\n55391 65447\n598 91496\n33395 72719\n43397 54731\n19471 35792\n3210 40373\n13064 22066\n32409 88228\n44534 51521\n15305 55851\n66457 81977\n21787 42374\n45518 92354\n4788 42245\n50971 66120\n41707 53153\n35319 50292\n11395 35024\n29217 88897\n10930 84855\n2771 71924\n3767 65128\n25004 61188\n23020 26485\n20005 23871\n26310 51148\n38913 54776\n47176 65311\n20584 51263\n15889 78881\n18172 71802\n26979 54616\n13332 68601\n17154 32287\n25697 28421\n29850 79517\n15416 83798\n45638 69442\n14650 20401\n45763 90205\n27193 89650\n4658 85399\n45156 49077\n23425 52302\n6412 68692\n29847 76000\n26470 47016\n60102 74026\n25600 53206\n6678 83808\n59810 73117\n4302 87662\n4342 46670\n3392 87655\n61127 67489\n20775 46438\n24147 81145\n61262 80854\n76972 86030\n75729 78514\n17017 80096\n5527 14737\n3304 38376\n24427 85470\n11092 12406\n421 56758\n16467 42974\n20430 26998\n57400 58295\n25056 30044\n3775 56913\n23674 66429\n44039 46346\n53939 78665\n6393 27436\n18866 66107\n19071 31307\n34712 74936\n17758 41573\n470 11872\n52990 75794\n3253 60441\n17504 63680\n43279 45991\n10474 33477\n11635 76681\n66450 78674\n27971 44144\n12648 62858\n15188 82848\n19829 46158\n55966 59065\n83619 87046\n6145 62519\n63636 72721\n31420 33384\n42205 86910\n41871 92208\n36142 70478\n17311 25241\n49687 76085\n12584 87060\n54034 92999\n43719 64099\n13091 24127\n36134 89003\n86656 89227\n12806 21651\n16395 60700\n74510 85293\n20414 31211\n83386 86129\n54404 54628\n26777 78328\n51152 65931\n7432 46744\n14407 48049\n14775 58568\n83418 92066\n2130 11871\n5710 50273\n22757 30206\n57900 90737\n22152 37573\n59779 83708\n78935 84272\n28649 58089\n45344 51178\n38679 59148\n41558 81992\n22497 31908\n6819 13539\n13806 35243\n59904 85187\n34943 74957\n69812 92899\n15924 82489\n10099 59775\n8026 48118\n22613 52129\n51802 79299\n43048 77189\n59534 86379\n37883 61907\n4944 31646\n999 31137\n40536 73754\n37943 89039\n60588 80356\n54072 71902\n19586 69362\n7329 85798\n8381 82253\n79188 88247\n15218 16041\n68035 86851\n70680 84380\n19793 50864\n27297 34575\n31062 62056\n13615 22995\n17137 87511\n24534 60514\n20923 91532\n68684 85261\n15923 64308\n7084 13618\n2534 31785\n501 64024\n2263 67309\n53614 92992\n65862 88109\n17071 22297\n14484 78604\n45202 45772\n38664 40312\n8834 27732\n41868 87739\n47792 63854\n43287 89991\n1025 21040\n10930 14789\n66889 71651\n72041 79354\n44581 47512\n63017 67595\n68926 69217\n63746 78256\n36808 61765\n31703 49463\n4749 66867\n2849 62236\n8677 66803\n34455 41566\n47593 62599\n35199 91585\n53879 90719\n45917 90100\n42017 49116\n63105 89824\n22372 34100\n34267 77946\n17609 44553\n6344 24580\n52575 55464\n77498 93028\n73766 88116\n8424 73694\n77638 92600\n49794 92842\n13084 77978\n81742 89697\n75607 92080\n42054 70192\n21001 46769\n13350 74442\n29563 56332\n25698 85045\n82204 86528\n9363 19212\n14151 72332\n25967 71573\n21750 66396\n1417 36199\n6794 92250\n17407 55384\n3543 62757\n33256 49041\n14271 54451\n22607 23647\n57077 86129\n3134 30112\n15411 86647\n7214 24624\n27514 29719\n70822 77717\n1882 86307\n2450 30468\n29460 82229\n53360 72724\n1917 52515\n166 24868\n27641 85360\n5385 7028\n17054 28157\n17961 23393\n63340 84337\n28589 73359\n27743 67439\n15771 61144\n61279 84663\n14336 34779\n20878 54908\n24082 62561\n77073 90651\n11167 91691\n1001 33259\n44053 91451\n18342 34790\n39144 57890\n4403 32198\n24435 40616\n148 7220\n47116 81219\n7439 87713\n58106 83201\n70189 87661\n51860 83429\n11405 59070\n43713 83915\n6706 53783\n45296 53982\n29267 67310\n26424 81449\n64530 89780\n37852 87480\n78120 84065\n58437 78948\n44120 86490\n40452 60326\n32631 68919\n13144 71514\n6787 41347\n22184 36346\n23 14779\n20625 63871\n44501 56578\n10837 46056\n10761 32397\n45692 75510\n27574 78335\n19128 49185\n24386 58416\n8144 75091\n8279 22684\n43792 77301\n18462 53237\n7690 15221\n28868 53722\n36454 93050\n20325 51561\n26579 54736\n40686 41113\n33992 67111\n86613 91385\n64278 78027\n60430 72944\n39783 40482\n22058 59976\n21038 45961\n419 21232\n58937 60013\n32874 61302\n52745 72708\n43785 84331\n16025 19456\n6111 46495\n1371 44922\n6925 42167\n19783 41421\n43577 61735\n46379 74683\n14902 50029\n26036 54467\n38967 41137\n30968 71937\n10363 37275\n31291 42832\n41964 77214\n40707 48490\n35806 44803\n3755 89886\n4269 73849\n71513 92061\n47119 55252\n14581 52219\n66275 67764\n39722 59160\n75491 89884\n14234 77312\n75286 80364\n7292 35081\n2296 67782\n31498 90865\n7615 87186\n47688 82912\n16738 62505\n6545 88775\n1816 62650\n30357 75944\n5023 63701\n54433 69814\n6488 71677\n19817 89567\n39962 76346\n17243 85060\n11400 21223\n16660 24732\n4878 34845\n63790 80803\n46701 60768\n8247 76294\n6114 73458\n1646 4232\n16690 27144\n42147 71516\n40084 45172\n1954 88174\n58623 59803\n67704 67959\n26517 34846\n19414 35774\n19244 26533\n37563 92537\n51987 71290\n1039 37587\n56189 88366\n12418 65427\n7104 35329\n5704 43425\n23776 68022\n40927 57039\n25323 91735\n59730 80452\n26081 74981\n22298 64127\n11946 90490\n37739 42116\n10294 79103\n13505 88173\n20145 60848\n31977 46423\n4327 90303\n31042 63643\n21892 81830\n3979 88802\n55612 84487\n12186 33140\n62150 89169\n41922 73584\n1289 76868\n29831 71569\n600 17466\n52973 81447\n11831 62444\n2664 44615\n43133 50537\n56307 67985\n25417 70227\n21472 21584\n16701 80546\n63032 77199\n4055 28990\n52402 74393\n32945 38381\n49701 69955\n48879 90093\n48993 89876\n34838 45276\n12208 17423\n4929 13795\n68972 77516\n12333 29208\n42478 87438\n3018 36685\n44913 82354\n36728 83782\n79506 89940\n13008 72679\n55411 61865\n10362 59965\n20352 89002\n3068 43772\n16365 49975\n818 30377\n23016 84795\n61285 68233\n31993 41099\n17182 55569\n11099 39079\n89230 92813\n49962 78929\n18963 33034\n10379 28083\n22771 91788\n33488 34974\n49980 84750\n1388 72740\n18426 27311\n31783 76342\n44036 46505\n48529 51103\n10186 29018\n70039 73708\n33264 80916\n61861 62431\n15359 38046\n8500 60718\n5680 69485\n48735 63182\n15827 72841\n59887 89261\n70553 90382\n51599 57864\n11288 68871\n40594 86875\n24029 61675\n16016 17757\n2945 47004\n79304 81871\n66468 75955\n50062 88677\n51737 83934\n377 27448\n5905 67923\n31148 72404\n5491 91845\n555 69664\n30756 49044\n74692 78868\n1246 83742\n17268 18206\n41510 88965\n64394 87840\n43936 55279\n16839 74198\n25303 58883\n15126 65830\n26847 67387\n29170 50054\n37721 46540\n12362 56827\n34690 56089\n27649 35993\n564 92612\n22004 69370\n66929 67656\n89352 91544\n66964 88726\n13010 30035\n3110 5896\n16664 44628\n64762 65493\n40417 87639\n4905 79211\n49655 88734\n43005 58361\n1521 81412\n27849 47781\n85290 88177\n41854 66101\n11108 33035\n57937 75176\n65603 81348\n9929 69399\n7361 51634\n10320 90708\n35072 42914\n30411 40322\n19502 66806\n73898 77748\n13251 17397\n17844 87216\n46608 58060\n17479 17961\n6734 68005\n10145 20568\n43833 63440\n54217 73541\n61991 63007\n21623 25909\n1700 71448\n50368 63934\n11010 89641\n7129 18465\n16614 46878\n66163 83675\n14441 41786\n5127 93044\n13912 28573\n16486 82098\n49630 76870\n6408 81899\n20932 39369\n35841 73925\n7905 53845\n42274 65783\n9051 66572\n54576 91166\n24605 74581\n10955 50163\n58258 93086\n1041 54641\n29596 55025\n25496 54999\n38266 71077\n64188 74006\n549 15019\n3068 84644\n64557 88995\n23310 31623\n69743 74876\n44197 76069\n25507 51314\n70950 72177\n32085 75755\n30614 91019\n7493 12539\n44196 72548\n13492 53012\n4493 73712\n52869 70939\n13493 20426\n73037 76509\n45615 76313\n53396 56746\n28549 79801\n51242 56727\n6941 12098\n39792 50040\n20525 58062\n57320 90059\n12457 48964\n39130 44510\n9842 83975\n72393 87293\n28233 43806\n4810 44167\n47148 52325\n8123 18784\n41944 53068\n18448 88494\n1045 19575\n64210 83386\n17639 23562\n14555 26759\n19049 64217\n32311 38785\n10698 13738\n65064 79094\n74548 86571\n32718 61875\n369 80887\n8478 35988\n52682 67077\n58023 92544\n12428 24921\n4724 38738\n61815 82826\n8177 43990\n68144 71907\n37492 92810\n42719 77463\n14538 85480\n6059 37670\n4306 70892\n17547 57526\n1554 50331\n4062 25405\n30009 63200\n47544 69255\n32886 88544\n53946 58771\n18005 28925\n4213 50484\n29217 74471\n35134 89846\n18446 32647\n3664 77755\n14358 53414\n82460 90121\n30580 65834\n81781 85189\n49361 89463\n22928 34533\n35212 71193\n85189 89995\n52685 89376\n7633 13125\n28365 66479\n11757 89161\n3138 24479\n63026 85159\n39030 39956\n5020 20455\n12548 51667\n31876 91443\n25220 39643\n54885 55941\n5977 47183\n59082 63337\n31578 78944\n24833 77410\n31458 47694\n5409 50547\n18442 60217\n40562 73030\n34971 87352\n15154 24680\n36491 45238\n45758 65548\n41962 82227\n19895 77699\n48420 69433\n44758 91005\n39690 61417\n72005 79643\n65813 87820\n1288 17256\n33508 54125\n56278 88417\n12960 86841\n47337 73634\n5325 46966\n24275 41290\n49036 69118\n9892 55992\n30034 34692\n27249 89484\n31516 38814\n64664 75783\n23438 66971\n827 51935\n21898 73984\n11985 71806\n37330 55968\n7771 19407\n37713 56624\n78387 88071\n44732 47701\n27667 33675\n64471 87013\n64747 84735\n14116 40226\n24634 56892\n5951 41665\n14734 37373\n50864 71153\n20473 51372\n45389 92393\n22513 76239\n12770 64035\n59945 85275\n6974 62399\n8284 80478\n9665 51616\n8409 51491\n59808 86967\n52849 54770\n66290 66525\n7771 57282\n28935 67131\n17192 43741\n12607 44912\n52073 76942\n6448 68677\n45415 54665\n63730 71270\n15693 68937\n28328 88426\n34378 47213\n3907 33826\n68189 70031\n20485 85977\n62637 89993\n51668 92184\n24772 68231\n69627 84083\n9120 29283\n48423 81339\n69662 88607\n49963 75940\n17212 60263\n51072 53394\n29927 68689\n13299 26547\n18769 44922\n50909 51218\n57485 75338\n4247 28193\n9684 54295\n24610 75069\n81677 89636\n35314 43632\n41460 54572\n40892 42517\n34434 77568\n44871 83568\n48167 76651\n49261 53551\n3632 66879\n5114 32778\n3873 50656\n66025 90087\n48643 69361\n32111 54223\n20424 30511\n7129 27855\n41842 59296\n67909 83598\n32446 88388\n6639 80461\n20510 54484\n6174 7850\n10510 78485\n33479 53467\n19948 47826\n59137 76623\n8813 34680\n36512 65422\n16368 22244\n28031 79776\n19594 83197\n38087 70566\n49571 79407\n88836 91885\n13635 53790\n50407 62542\n24767 72779\n6529 11100\n45465 79567\n65558 81935\n71370 93146\n40247 41768\n55146 92590\n45399 77859\n56424 70088\n18386 75590\n41996 68693\n41835 56330\n49644 50898\n8475 84363\n49229 62847\n61212 68991\n1314 48415\n30542 79525\n43355 82028\n74513 82110\n35754 66244\n9889 55711\n3039 55297\n28363 65364\n48527 60847\n12842 64606\n53878 75816\n3771 91704\n29676 33872\n53531 87677\n17714 52796\n65017 73850\n8067 48613\n9300 44861\n28753 33219\n43268 55551\n75729 88766\n44833 92839\n62565 81268\n13124 82538\n37770 60672\n42163 57857\n72582 76595\n33343 69860\n8366 92754\n1213 65601\n12803 88711\n48494 60727\n49313 83408\n50102 69198\n32852 88948\n17394 85973\n47240 88425\n9017 39473\n41465 86308\n13346 62471\n55423 77269\n23353 72978\n22634 56256\n6613 54446\n56438 71655\n4644 63738\n5112 39261\n24021 85050\n11560 65413\n28608 82875\n65142 72520\n41374 64305\n1587 6813\n4857 83418\n73782 89842\n23945 73350\n1576 72767\n55146 92065\n17367 23322\n17062 34135\n23284 57250\n21211 52425\n27785 92879\n49383 56326\n41134 52538\n48377 75559\n59062 93015\n62591 75971\n6719 50026\n66006 92653\n10738 39510\n20301 85368\n62519 91792\n12020 25330\n34163 37795\n36370 44930\n57828 71615\n20748 47151\n43793 81824\n37830 47278\n4454 60829\n3145 22908\n37939 68852\n32954 52833\n18625 52069\n51312 55233\n3737 54901\n31809 40388\n11387 72766\n1040 26532\n35550 36331\n27970 34232\n8046 60870\n50493 88472\n38095 74841\n80476 85257\n48470 78812\n60389 89806\n8513 56755\n82044 84771\n45540 91891\n5033 74026\n6185 7689\n3244 86751\n35853 92391\n61046 86674\n17977 55717\n23252 55602\n44570 70040\n80222 82225\n7357 64187\n5484 70117\n924 46809\n19759 72592\n58219 77549\n10004 90162\n30184 63859\n25513 77977\n25237 65821\n67549 78810\n5637 70367\n12574 82579\n29017 43858\n53636 76551\n7389 39312\n22739 89388\n48804 57861\n3006 70917\n1702 60240\n24558 82812\n5444 61576\n76052 78243\n4128 37086\n17584 69219\n3798 26168\n34257 82782\n51741 86189\n3060 12890\n55712 73784\n62186 65596\n5316 31951\n15871 27209\n11592 14394\n4897 43189\n16779 57520\n37541 41426\n10499 19828\n66508 70174\n21546 69378\n46148 65858\n53854 60576\n40585 63592\n20885 62537\n30379 31688\n7332 45051\n45030 63232\n8583 14412\n7655 79229\n29928 89235\n26197 47194\n35421 49950\n27004 89223\n16447 39644\n9853 26136\n9512 46644\n15385 49838\n42942 77496\n76018 91780\n5644 78208\n13233 21518\n6748 11042\n61213 76819\n2367 22117\n5497 20122\n40090 55982\n12927 79542\n48334 76291\n29729 89971\n50923 76331\n17145 43479\n34259 92426\n30930 72533\n48138 61296\n32090 82317\n15595 60893\n18679 26242\n3198 36190\n18780 35070\n30874 66531\n36941 51892\n49632 72407\n28337 32271\n43303 61648\n77448 77510\n44 30879\n44390 64431\n5015 58585\n29681 37749\n26821 87681\n49880 69560\n47109 55470\n29262 44240\n3453 63402\n28028 51037\n34479 76685\n7727 78182\n17398 23729\n6333 8202\n52574 62294\n23704 75956\n8568 23420\n56876 61821\n26431 80910\n14818 90559\n9015 80362\n16171 20479\n6499 8973\n9731 52605\n27365 90171\n43727 47342\n54291 62942\n24131 47716\n1156 49291\n37221 67228\n20266 35748\n3909 56492\n44279 66286\n43113 81593\n32901 82538\n42398 92106\n2326 58936\n876 76145\n39997 83075\n24913 34184\n354 80098\n10998 35075\n85253 88398\n6808 75972\n73797 79933\n34629 68118\n28962 52704\n5216 37815\n72392 87262\n15043 71654\n3264 85193\n13673 64700\n27248 60967\n44623 92776\n41177 44236\n26234 47122\n80325 89405\n46700 59556\n25576 51028\n26153 92028\n54059 70304\n29221 36961\n55321 68583\n71495 85234\n25887 36886\n10885 18791\n51148 61923\n7621 57703\n9492 89145\n35676 68620\n57515 92308\n18297 21018\n46031 61919\n15846 18469\n23756 70364\n71126 78802\n29953 57004\n40927 62193\n22791 39187\n7323 9022\n6138 70014\n14733 73387\n3912 92117\n5038 68967\n9066 20398\n60214 89001\n56890 74213\n64706 85790\n29732 44158\n6456 81506\n18900 79474\n2293 88555\n22932 91035\n37365 88677\n29066 46690\n57291 92596\n6676 24036\n18822 70504\n73659 86363\n17745 39063\n74158 82275\n14718 27730\n6074 85172\n35380 49070\n1383 72896\n15324 75182\n4169 60466\n12312 55366\n23400 72007\n56065 76527\n23824 85281\n3733 41432\n79636 92647\n573 1895\n36057 51441\n48746 78414\n64101 74182\n39533 63249\n35479 92985\n8329 64194\n32565 32701\n21492 22156\n26229 42973\n48556 87052\n2931 12055\n50238 90037\n59975 83009\n45128 91081\n19384 61408\n40498 60503\n347 77648\n44812 79317\n45371 46393\n24670 32802\n11230 92778\n937 31380\n5174 35179\n56241 76603\n26608 75157\n28613 29928\n16943 27175\n46408 56331\n58758 61559\n37420 75405\n8479 28560\n3436 12017\n53930 88613\n68214 86892\n76899 77225\n16904 71706\n19069 46361\n3565 16412\n33723 54916\n18766 87797\n54267 80757\n45308 59214\n451 961\n16488 65839\n31122 53888\n7111 80046\n31285 75243\n82671 91987\n21563 34018\n24727 87681\n5897 56134\n5896 34043\n26164 73903\n49370 80145\n41436 84257\n8711 28693\n71433 74771\n7443 79889\n79588 80634\n46774 84553\n11331 80100\n27633 68648\n904 55108\n31312 40112\n4013 57176\n972 72543\n30889 57050\n27714 73810\n18747 91678\n4321 59095\n22931 82787\n9364 88481\n49210 76500\n21922 65837\n7650 11345\n89135 89578\n24280 92651\n30017 83567\n24989 59454\n12281 59660\n40552 59977\n13309 89545\n10036 43343\n28258 74383\n28849 29006\n24043 36642\n13196 92791\n12139 81069\n52165 87849\n8626 25119\n13232 35539\n57956 86072\n52292 71910\n3925 53492\n3051 89715\n28416 49647\n15358 41714\n12894 29076\n28756 46471\n12673 78194\n84825 88169\n6670 66633\n26905 45843\n3856 50678\n24545 73435\n40095 63658\n746 63612\n62994 85815\n66795 92204\n8753 86945\n3612 75558\n51392 55320\n7830 63164\n43202 71791\n13558 41575\n42013 61014\n26875 41314\n7980 86975\n16123 40958\n8200 63913\n68253 87424\n16431 87662\n47752 79751\n1697 33446\n28348 54427\n39486 59594\n14530 33678\n7185 47542\n5878 22080\n9454 90843\n10833 27215\n63785 72106\n13105 86822\n21796 91810\n27518 28211\n49484 81244\n42590 91511\n9027 81363\n30234 45961\n18152 88091\n33546 74325\n2360 55608\n6019 24241\n10092 76231\n35378 39657\n53002 71089\n42490 55908\n55841 76005\n21913 87278\n81582 85826\n47267 88876\n64516 72516\n38752 83578\n43252 84805\n24767 86200\n10528 91052\n51330 60175\n1441 43232\n8139 74128\n50080 67147\n62211 84063\n61872 82494\n29429 85979\n25988 37678\n36783 56118\n34414 79464\n56237 72096\n32119 84766\n68477 75420\n68697 84172\n7512 71444\n19906 79100\n69006 80874\n17207 92378\n67677 79014\n32084 79165\n6826 23273\n33831 52650\n33986 92253\n10452 12111\n64323 71889\n26056 54809\n65452 74363\n9880 34199\n42967 43891\n81377 87903\n2505 86631\n44870 48275\n25871 91687\n49046 92505\n72086 84941\n20110 53005\n70329 79229\n50319 62125\n80836 92596\n51512 78473\n18005 31590\n23925 54857\n7801 72571\n29741 55129\n7293 20542\n79100 88197\n67837 70379\n1932 54961\n14487 46294\n11421 51241\n47807 83034\n78770 80826\n42811 64289\n63541 74047\n10266 64196\n45821 78342\n52966 82990\n72921 83327\n23513 27918\n80142 86490\n9673 10092\n29509 59689\n36502 37031\n38024 71386\n44764 54203\n26285 91721\n26121 64212\n30431 53846\n53149 91584\n75892 80124\n33578 47496\n54785 80889\n5973 91816\n27302 74639\n18600 51340\n42504 57208\n16799 21227\n2562 61570\n15101 37810\n32578 83936\n25802 86311\n31595 57903\n1542 63470\n44288 69475\n16819 86410\n60919 64600\n12700 54325\n32789 77937\n73799 91293\n36610 44824\n51266 74184\n52434 56729\n69687 91590\n70179 84315\n62968 69506\n31516 48897\n69643 92513\n10166 70859\n53078 61542\n9426 10852\n14530 41552\n79078 82985\n47396 48223\n36148 58212\n11129 53440\n35181 68166\n28529 36625\n6164 54553\n21984 67501\n45920 54459\n29030 29470\n52352 76480\n19996 71511\n71498 74724\n14709 66448\n59720 67307\n30226 71808\n48501 63319\n50932 88762\n14615 18455\n38346 47966\n28611 57710\n7322 46407\n41241 47197\n25991 30939\n22846 78292\n59562 66504\n9882 92445\n27351 31235\n3846 76527\n47541 83248\n61546 91162\n14543 69746\n8643 17554\n52318 72220\n20602 90953\n19727 46479\n42773 53324\n68947 74541\n7039 84928\n26198 75532\n40975 68347\n21181 46272\n54348 68376\n29290 88112\n48007 88838\n48188 51215\n49259 77029\n40030 79446\n23255 58880\n25741 67574\n30886 65970\n57976 70125\n73883 90192\n11458 69731\n47348 67149\n17044 49478\n54731 90431\n17973 27243\n13711 33850\n17381 48524\n67461 78999\n35588 55307\n63787 89339\n75 5563\n18567 84565\n21534 53808\n42600 67965\n33951 45748\n67675 81440\n12410 38834\n36071 48502\n44740 62648\n30421 61109\n46856 62189\n25030 58381\n74356 82078\n40636 78891\n29029 82672\n25353 67913\n17203 89749\n41037 50036\n7587 87337\n11013 64890\n72799 79311\n30119 66849\n12040 16915\n41737 42872\n34984 73505\n105 2489\n23049 60181\n22650 27263\n51622 93106\n41940 47726\n46646 89443\n15278 89970\n43677 65474\n1238 53912\n5269 41195\n32395 73433\n30487 44305\n62054 74447\n18474 68556\n10904 55235\n52443 76259\n59815 70702\n4566 35770\n4590 74751\n37884 51501\n12194 53477\n76537 91764\n41765 46413\n24423 52541\n6591 91012\n23175 32769\n8137 63967\n88814 92301\n31489 91931\n32295 59993\n31916 81250\n10031 44190\n13475 34493\n23179 89241\n61529 70959\n13820 53369\n25907 90543\n54883 75900\n18133 64359\n35865 87435\n11746 49350\n3798 73424\n53115 83540\n51618 68471\n29535 92212\n5824 45071\n60184 87423\n37514 68950\n8979 36095\n49609 54056\n52136 58036\n39754 84793\n29467 73146\n75072 90317\n27788 83725\n29308 88108\n43221 48845\n68400 81596\n3785 37029\n70320 78172\n41593 73060\n23189 28144\n3977 39651\n54546 66089\n12891 78595\n7778 70901\n44299 57681\n5249 48713\n29940 91115\n2705 55839\n17263 78333\n6977 57283\n8704 21120\n21351 27776\n22642 56290\n32517 39612\n11026 60710\n3721 25819\n19878 73790\n63247 81678\n20507 80030\n64201 76405\n40699 70582\n8466 82402\n9035 62798\n11615 33626\n22514 83436\n21058 31522\n5244 40618\n9151 33835\n6172 53044\n29045 85748\n40392 87025\n2226 20590\n38043 86914\n8784 49787\n3318 49657\n71813 91162\n35349 92280\n55405 91194\n8840 57439\n10328 41679\n1913 11512\n22578 65975\n28961 40755\n45398 91173\n8689 77886\n20790 51363\n12518 44804\n56106 72027\n15713 76740\n39353 54878\n20632 74985\n3808 58798\n1704 63897\n33447 90317\n36110 38687\n48298 80970\n8457 15449\n42276 55189\n48309 59223\n28864 81045\n4873 28526\n6080 81541\n22942 60382\n9128 21560\n78791 85133\n41231 92804\n77364 89413\n29614 74767\n16213 32998\n24161 44275\n8754 46254\n22975 58181\n5568 84285\n35424 91327\n34217 56548\n38445 66686\n73247 85973\n24738 59902\n31955 77722\n27653 40557\n53862 63869\n40147 57541\n13351 41246\n20737 73591\n40363 42599\n67083 82762\n42762 81181\n20551 45284\n28285 30123\n22206 65738\n21029 53742\n5338 89789\n29595 52873\n35879 68530\n42958 44150\n42916 56989\n28516 54600\n54778 55178\n18397 30513\n26941 36588\n14670 28926\n59356 89947\n48316 89987\n26260 29589\n12087 35242\n53609 92885\n21938 44566\n22174 41763\n9795 59975\n15075 67050\n3269 77840\n79236 92922\n17674 77399\n18483 35748\n79279 80830\n9540 38928\n20991 33090\n38189 49672\n26793 81798\n18419 73121\n42777 59995\n19501 78809\n10966 68754\n22080 86474\n28190 42471\n28503 87460\n7589 75681\n13287 32818\n17226 72319\n6936 90088\n54180 63964\n26721 35137\n69427 88823\n10450 18910\n20819 33089\n41063 74374\n29219 39113\n24967 84413\n17887 52072\n46268 92506\n3503 86360\n63037 70945\n7526 31405\n13580 56683\n7117 40466\n49269 72319\n42707 59069\n40181 72990\n25932 55994\n85846 86356\n27793 58763\n8106 85986\n70537 85863\n40014 75535\n22491 40913\n15414 59749\n27979 68701\n25567 31500\n40399 48188\n75889 92019\n11316 85303\n52395 55227\n5791 79645\n20768 81303\n73919 83992\n4334 36291\n10402 73803\n16301 34174\n20682 81458\n39494 43438\n37471 46603\n23870 90584\n42631 74927\n9113 77102\n28899 74688\n13414 49646\n9163 63314\n69635 90354\n26928 45755\n45518 70720\n46294 46468\n61749 89214\n5532 27438\n41811 61295\n10414 43561\n49894 73895\n51624 72588\n42365 44673\n40030 85040\n29979 75725\n6111 20929\n29071 55176\n88994 91120\n43555 47716\n14142 49095\n15180 27441\n62805 76714\n2295 12552\n61514 80658\n55189 91595\n26304 53574\n80444 89936\n5666 36740\n20901 53628\n10956 69238\n26716 85335\n42427 45029\n50826 84309\n25957 51634\n11427 51734\n59790 70967\n2134 40183\n83473 86162\n32362 41368\n71153 86609\n27681 78599\n49060 51641\n27715 77552\n25102 52246\n12579 56750\n51774 56342\n13266 55237\n77438 80584\n5784 34302\n22623 41494\n62014 88514\n68024 84808\n45480 78600\n11724 25012\n61471 74046\n17423 27632\n44817 87881\n4392 59026\n51905 70714\n15348 57314\n17813 83988\n8604 88592\n67409 75122\n47732 85080\n16652 59776\n13576 57716\n28558 48580\n10478 84074\n10294 31596\n51669 76338\n37399 56150\n20993 38950\n67437 71400\n6875 36412\n18422 61498\n11975 23230\n59467 68635\n45041 61547\n43283 59759\n12344 47748\n41518 87636\n41226 44719\n6025 90931\n90220 91605\n33391 35707\n20050 71606\n9889 71246\n30686 81378\n14224 48372\n6282 22914\n10874 31988\n28553 62946\n25620 34264\n11093 87304\n8588 18871\n37667 42938\n43523 83184\n62272 81188\n45358 47024\n34844 88082\n20019 77186\n9457 46534\n18248 39239\n18821 65795\n68444 80948\n65702 80033\n46181 73884\n60 41186\n88697 91192\n33308 49409\n24062 48478\n81 58301\n36826 90118\n50314 82317\n5664 17083\n37372 61293\n19401 86124\n27671 67620\n62527 75127\n36440 44268\n10469 84350\n33000 83501\n85088 92691\n75386 81380\n33304 84060\n7125 7224\n7702 30755\n9820 88345\n59508 64299\n5306 71141\n57716 82599\n1651 2038\n30591 66509\n30818 49423\n35756 81544\n34609 82701\n55825 59293\n10209 66933\n36385 60420\n34394 92183\n4459 4750\n16452 60576\n68879 78242\n14394 39455\n14030 93135\n49988 69002\n48687 82992\n10857 69747\n5304 5425\n37091 65973\n24991 69196\n51578 59687\n48042 66168\n81780 90063\n45708 76635\n2569 74273\n26366 47391\n50166 88077\n75654 79256\n51878 74177\n52017 81107\n72593 87719\n261 30694\n7566 21406\n61950 70823\n9949 18809\n73432 74286\n50797 68537\n39638 64749\n3965 80190\n20126 86481\n13077 65009\n33484 63636\n80630 86662\n23720 67981\n13143 79370\n8073 9515\n44126 80186\n81322 93045\n67627 77170\n4451 89144\n25696 37249\n6623 68518\n15894 50161\n33331 47883\n38926 45555\n4793 13035\n2403 52803\n10385 12541\n52855 89594\n8814 42928\n46656 62644\n7454 16866\n8731 60943\n25720 61357\n34377 82230\n31355 57738\n16644 73657\n6715 23587\n56633 85212\n37952 77900\n726 64561\n12394 21774\n50857 79791\n63215 92589\n25862 72893\n1002 4189\n10965 67443\n55561 72916\n12835 55445\n24563 49247\n4548 72528\n4450 73139\n68177 91611\n27647 48216\n51294 83754\n64028 72837\n50852 81823\n63974 67842\n42390 82489\n15551 57379\n18779 36337\n7331 38717\n59042 81863\n49816 89071\n14043 65848\n10528 72127\n33569 56321\n48636 64986\n80595 92377\n60132 87491\n523 56762\n18783 27880\n8080 70589\n44684 53241\n659 76860\n27268 46596\n4118 48258\n46308 55852\n37145 45849\n13612 30926\n651 47546\n21596 70163\n32807 73043\n37809 54209\n35226 45994\n21171 59870\n21593 45535\n18602 46781\n12191 54979\n39607 58604\n28076 79688\n46451 90345\n4310 67234\n5558 87975\n36443 37635\n33930 46095\n48938 89680\n2151 13726\n38890 92329\n34450 88815\n27443 31676\n17055 89716\n24068 60360\n1479 55323\n49996 73769\n16217 45589\n2768 90577\n80722 83904\n60448 80756\n56919 87498\n42092 82923\n711 8503\n44833 81394\n18746 41963\n3920 34003\n7121 70981\n3251 59837\n61590 72137\n893 46519\n20712 39799\n38844 78776\n18734 56208\n72538 75944\n32473 85943\n62352 87528\n4732 80585\n78176 88560\n45284 67334\n17012 38096\n3034 10196\n2578 26760\n31361 68193\n38291 67674\n31792 78274\n27151 57421\n10417 38520\n14763 84812\n21403 50450\n74332 93071\n17059 35317\n453 84020\n1339 26729\n30909 33465\n46672 48619\n36620 84243\n29434 56189\n32201 38301\n794 59211\n5954 16211\n24307 35412\n3623 60277\n32160 66569\n42497 42602\n24240 83831\n16327 30226\n54753 58124\n32347 40475\n3567 18070\n1414 73336\n43205 85390\n10960 31052\n32826 51646\n3862 52199\n64548 67823\n23491 58179\n87106 88424\n45453 63034\n25501 91203\n39352 65140\n4223 71175\n298 37195\n43962 56183\n43671 74260\n34232 90860\n37636 89857\n14554 33184\n33035 68170\n5267 79468\n19587 86199\n29496 89793\n2144 26340\n35907 84991\n16672 46478\n24406 44951\n33237 82481\n80735 89639\n61266 80898\n21438 62198\n5832 17057\n50544 76213\n9280 72427\n27695 86201\n68391 84492\n4630 22554\n47770 71411\n64196 64681\n52219 83213\n13304 52222\n46189 62902\n32498 81545\n28558 77193\n81738 85925\n20067 40804\n38282 89418\n53921 82309\n27876 68004\n26455 34327\n35925 67989\n25942 70991\n10951 66425\n13234 30181\n52605 56246\n74861 80518\n2590 29407\n11054 23231\n46561 60344\n27948 65675\n35856 74603\n2731 53738\n3999 14850\n3079 34925\n36680 78514\n9547 67624\n21224 69766\n61767 72226\n18373 43116\n49864 62516\n48779 55787\n4868 72868\n12805 53773\n5074 49932\n37971 67783\n716 5288\n24093 32583\n4296 27307\n32658 86856\n14769 90198\n31765 56228\n35077 68076\n14353 51331\n54536 74889\n22242 85950\n56951 81299\n30704 60070\n23127 81478\n14216 33735\n1228 91865\n5358 12202\n23444 56688\n13995 73264\n26317 64059\n34435 49926\n37036 56618\n20152 26398\n13657 49650\n79561 82014\n12353 15897\n28853 57538\n46863 70919\n63800 81747\n47416 63017\n66565 87438\n29863 62322\n19025 56886\n11995 37387\n59719 70022\n61238 77897\n2908 66375\n1439 23622\n66559 68603\n13844 79526\n15784 74322\n14896 71425\n32179 62036\n38658 67837\n36263 56942\n8152 22639\n84113 89771\n6987 63681\n2478 85092\n69327 92784\n1132 67422\n7920 11296\n17013 41504\n12909 88223\n92549 93050\n62424 77398\n17861 45549\n49725 57102\n52609 67427\n28072 49006\n23039 47703\n36763 69367\n48724 63691\n19784 86497\n29670 40844\n24102 40676\n826 47074\n26916 64436\n43006 58111\n38958 45326\n53682 81438\n82150 91781\n49135 83227\n77986 78905\n39019 80412\n56214 69590\n53817 88351\n26842 27836\n53673 77238\n32503 65912\n51348 70405\n30044 89329\n54125 64363\n10577 85804\n24017 35192\n37310 60746\n38941 57787\n37954 50736\n1019 21913\n34652 83122\n2165 74299\n24898 59322\n11746 84191\n38146 63963\n23690 64592\n6853 28566\n52183 86443\n13597 26527\n36356 54618\n21505 50688\n29769 79621\n29213 62701\n21020 76913\n59579 65801\n35540 92027\n57810 91310\n22320 65533\n51779 63985\n457 92834\n45575 91175\n16160 38881\n40361 74372\n11585 71636\n14382 79028\n39076 79841\n26485 40419\n3428 24275\n5806 18224\n29998 33816\n31110 84570\n19825 29378\n13055 65453\n60831 78355\n50845 91950\n31313 85285\n31187 51904\n24905 93029\n82932 90852\n16203 71443\n11995 62983\n33350 69315\n14097 63371\n60534 84724\n52968 58594\n29956 35758\n2033 12638\n497 41227\n8243 12357\n19648 19901\n6244 52523\n45582 72962\n9440 83928\n24221 78346\n29721 62236\n20020 27731\n66682 84950\n12350 87111\n1124 82346\n49255 52685\n11601 28368\n15589 90036\n46004 56468\n70876 89398\n2696 83928\n34671 44572\n26982 48084\n42416 77110\n33158 52047\n21315 55366\n23527 27902\n20373 82643\n10528 27227\n24000 52153\n33546 58046\n42441 42753\n64058 86950\n40426 45738\n22663 26125\n1833 52979\n8055 43309\n58708 64029\n48798 60636\n21634 72874\n22310 44468\n33978 62334\n32193 41819\n44051 48637\n72692 80241\n16083 79838\n29033 44729\n27877 60520\n54201 64546\n3614 46870\n16332 16720\n8532 70051\n18772 40775\n50031 85383\n12279 14728\n52113 82686\n22162 86394\n40768 51265\n17517 86142\n15161 33647\n22762 66158\n30134 44647\n31440 88104\n6823 56224\n129 38864\n13141 86140\n56798 78214\n9501 14186\n51416 75057\n25304 73483\n10437 46930\n17769 74431\n58282 78540\n12885 34180\n20202 43330\n24542 43663\n33612 74338\n2098 9340\n8739 79613\n39182 70756\n8600 74505\n40795 76725\n3500 87431\n18310 35025\n7538 46552\n13467 80859\n16326 48832\n76918 88453\n29910 49292\n59007 89435\n2794 27398\n30769 53765\n36502 73197\n85589 88633\n35627 59878\n57999 87670\n23528 72197\n30651 85909\n15440 75739\n32683 48086\n45622 83300\n6799 88840\n78936 79301\n5323 12112\n19939 44801\n59400 85556\n29102 75081\n8364 63142\n26852 53855\n41489 54190\n41828 62621\n6469 50240\n13176 52165\n11596 35845\n34773 52662\n2475 66634\n91 14157\n32855 78740\n67506 79843\n66288 88279\n11704 33037\n49188 78235\n62793 90373\n41710 54100\n52459 67141\n34366 66049\n21561 47831\n44835 53058\n11700 58872\n79776 92721\n63045 78837\n43126 45171\n12238 91124\n2273 34262\n66542 77707\n69782 89458\n20841 74693\n17666 35287\n38344 54760\n11778 93092\n33731 87354\n4320 36680\n19093 57836\n17886 33600\n38683 70917\n12969 86595\n4266 56998\n15738 21734\n12238 20259\n40682 45787\n1742 83520\n3816 23353\n38416 90414\n44388 75369\n4997 5963\n22751 26531\n32991 87501\n70130 71673\n17602 49775\n27088 72857\n25515 53480\n67476 92013\n13930 85490\n3565 19128\n3226 75298\n43061 84108\n18241 65241\n34381 80222\n28539 75357\n18915 59534\n24728 78186\n5564 10013\n36303 38208\n31554 80217\n51110 82106\n2379 55213\n58365 70204\n31411 64136\n781 49116\n10502 15645\n62220 80283\n40788 61537\n62262 69740\n18069 28819\n26856 56222\n15718 34261\n6863 71285\n77223 87687\n20105 30412\n89438 91665\n7031 78348\n45491 49388\n67158 82246\n8233 56685\n43505 46411\n26454 89637\n11294 44060\n53964 82637\n60703 69510\n36896 69430\n15053 29179\n18137 55702\n25554 81550\n44616 46016\n28207 63942\n10276 63937\n12412 19223\n10572 39666\n67038 76336\n34104 84189\n71287 73639\n59572 86039\n21104 49685\n2004 86949\n87577 91651\n32900 56194\n39339 81977\n11978 12314\n17681 61843\n9743 18577\n4504 43995\n4225 5607\n36666 57306\n61451 64960\n51614 68336\n20612 84031\n42694 54006\n505 33049\n37024 89174\n4448 30565\n24508 65801\n17319 70425\n36873 53806\n7732 15216\n11620 20858\n42406 60706\n63442 64454\n44774 81954\n51405 54160\n70328 81752\n34150 74416\n11553 41687\n56846 70196\n17380 57660\n38995 41990\n33511 79381\n10177 28093\n35901 91559\n1178 66787\n73438 75666\n19441 84855\n21895 39861\n40183 48090\n60254 66932\n45939 92052\n1184 77630\n10201 72749\n11567 34467\n61434 74312\n5248 64766\n57829 76925\n13630 35933\n29466 54127\n18141 39944\n1871 67829\n12390 51251\n12886 43702\n15474 74714\n22960 61298\n8849 52623\n62673 63370\n17972 66219\n22366 77761\n10653 48843\n60452 67866\n45460 50802\n42659 59653\n22819 75925\n2105 3312\n48180 91153\n66241 82628\n870 93051\n13527 80859\n45767 62780\n51765 59231\n22342 32925\n17627 23074\n9567 89782\n42125 64072\n35215 54556\n42849 51669\n72801 83068\n17059 54497\n27165 38772\n26742 59812\n12412 82050\n52650 69216\n18526 21179\n29213 36366\n71752 75580\n56174 69501\n2082 22731\n4634 79931\n15639 72346\n67909 76391\n40672 43036\n10314 44832\n46087 48391\n83882 92402\n61716 66382\n53020 80032\n54579 84076\n2927 92135\n19997 84380\n30328 65717\n2031 75315\n57110 61424\n14425 25650\n38188 60691\n79866 92328\n7651 42170\n32347 47626\n18588 48622\n16151 89335\n4454 89759\n46978 55538\n47360 63519\n43279 70732\n47166 77041\n11586 58891\n29210 68617\n6782 45202\n57943 63376\n75165 92593\n41421 45256\n64376 89789\n77660 91537\n61087 90421\n46405 85862\n58673 83180\n51857 78094\n32469 78361\n28215 34467\n4990 55909\n82981 84627\n40695 70114\n55120 74951\n23386 85869\n29795 30205\n36842 59028\n4388 64420\n36660 48298\n33438 59245\n38452 39959\n15878 68815\n67819 82347\n15917 81957\n6751 71150\n50257 90020\n5148 6671\n9936 44697\n24491 39613\n30421 64938\n45760 58191\n57878 92213\n14533 34848\n21145 86297\n53004 87969\n66561 81822\n45694 56561\n15980 18354\n13465 70771\n46455 92659\n18000 90705\n60554 80125\n1255 16761\n19923 38187\n16645 68404\n7975 85776\n10711 83121\n39597 53862\n2366 57749\n21794 77932\n22318 69307\n22198 42070\n76312 85455\n10861 58137\n81027 87153\n27786 60355\n41470 92729\n55905 62942\n34920 77632\n19180 65465\n39875 76852\n48970 70380\n60842 76826\n10930 51131\n22820 36465\n21195 36787\n37679 58138\n57882 65915\n56121 90502\n8733 22592\n12206 70628\n28549 53357\n13929 93008\n3295 37252\n24896 42416\n83644 86471\n25971 83823\n20205 77794\n20669 38167\n63662 86708\n2680 63746\n46428 48266\n46021 74425\n13713 77282\n11988 29407\n3335 68728\n9600 90964\n882 72276\n48810 64605\n64391 81940\n18583 45620\n3452 76026\n1973 12488\n91276 91387\n40642 57013\n8843 16870\n30641 59841\n22822 70511\n2768 42989\n50981 73124\n13782 90771\n19868 24942\n33003 56644\n35698 88341\n63287 69399\n25351 45910\n1291 55942\n60995 82381\n30242 48977\n75893 83529\n74885 77920\n56281 87343\n38479 69615\n49298 55938\n8780 70231\n554 81946\n13523 28926\n43417 50263\n49058 65360\n30405 30516\n45706 52722\n250 90158\n39793 88284\n47230 88168\n61368 92776\n53230 70176\n50492 83685\n203 77818\n1950 79875\n56102 61390\n78691 85787\n10293 47467\n17978 49423\n52435 70214\n24587 69549\n19298 35655\n33663 86647\n41484 78288\n11744 77099\n3627 72127\n11659 65532\n4905 83797\n8333 19811\n23849 74940\n2121 51528\n1176 13160\n59348 77888\n35115 67684\n62597 74641\n8001 58381\n6053 10158\n4402 5615\n11185 21319\n40323 80662\n13442 27612\n3260 86499\n33863 79875\n40596 48201\n912 1429\n28916 58398\n7414 21643\n19259 32352\n12813 46985\n33259 34721\n50043 51752\n54710 67414\n20029 65974\n74666 83313\n47034 54190\n25285 32204\n3570 9495\n24340 68648\n34789 45547\n42892 87622\n62605 70372\n50078 77034\n30541 61916\n48901 56878\n15557 49424\n6497 50562\n8395 11026\n27229 28831\n21400 66018\n14793 87240\n17616 41932\n43277 44799\n5696 16950\n34155 41177\n10839 78174\n44491 53354\n22291 50187\n80342 81217\n11183 62399\n26643 63227\n10469 79559\n30808 32223\n33541 38415\n76497 86779\n5163 33341\n30361 37405\n21427 22267\n28775 55812\n35290 78892\n16439 29320\n11322 20274\n57339 78885\n34655 88048\n18864 32423\n44246 75846\n29802 45945\n8597 86528\n46435 47065\n68008 77949\n854 19991\n57749 90432\n21338 64651\n49234 53694\n51148 71319\n2667 36678\n34755 50756\n32898 76091\n64496 80295\n43501 61551\n68748 70959\n50881 86063\n34896 48066\n73407 76874\n15889 92180\n30205 50315\n31756 34741\n37188 82468\n52054 82107\n37747 64326\n45801 66913\n38698 87746\n49102 72204\n4095 84729\n59552 60428\n51557 58283\n38986 46852\n14669 55214\n72546 90641\n31594 88632\n12927 74145\n7226 25735\n2731 52444\n31799 40373\n16851 32445\n4473 81824\n71775 80611\n1879 74623\n87654 88328\n6740 27212\n17306 35687\n51211 56197\n16383 38180\n23912 59857\n4658 25480\n29669 49085\n35627 81245\n58654 64846\n31548 37016\n151 75544\n11852 39291\n31036 83012\n2011 25420\n78348 83300\n2985 93056\n13525 78703\n21061 22096\n33662 62509\n66015 89514\n58508 78154\n1641 33698\n37760 41468\n25159 58082\n26981 44412\n59337 77620\n1329 28078\n76611 78367\n34300 54990\n57306 81490\n29016 54451\n62264 78101\n13727 45061\n29847 31139\n74 62272\n1613 19001\n64395 80939\n35219 56184\n8625 64340\n3738 26105\n35174 67645\n67167 76884\n31190 45310\n33474 71485\n24133 78054\n11913 32225\n20173 72619\n25504 81226\n28694 89061\n4399 48614\n20836 89360\n17759 85272\n82348 83940\n29292 70644\n53594 92680\n61910 76696\n33246 61247\n4358 64547\n17905 80565\n65420 78581\n9967 35108\n51933 87095\n32467 58251\n1883 51265\n41305 43529\n29310 52019\n65154 70092\n17045 44540\n17644 32758\n76227 78976\n33618 50842\n26769 63011\n23772 70801\n23444 54305\n67532 75701\n57921 63845\n49372 76852\n45496 70660\n46950 54730\n48775 65504\n37380 60462\n33433 41422\n55207 69124\n6797 67723\n73277 86912\n26724 59503\n14827 74184\n34287 62011\n60903 70093\n55598 70019\n28711 34645\n20994 58158\n1885 35697\n15777 51857\n28256 41403\n26389 34424\n24883 35567\n20655 52822\n45996 61254\n14813 33758\n49204 90050\n14864 48919\n52132 87457\n51913 90293\n13972 68903\n81592 82717\n5273 45312\n43343 64992\n17189 27847\n79472 90470\n77301 81696\n25936 42298\n2592 12962\n13368 60671\n31384 47778\n11298 87645\n17091 52975\n18583 74922\n8738 30261\n14401 57801\n1317 7444\n4011 27082\n50998 65347\n3622 48039\n64684 88855\n17633 83050\n35729 91229\n2368 12848\n17513 65761\n27633 33470\n41352 81291\n30922 80571\n27027 74167\n18801 32946\n51310 77202\n29250 60562\n32082 60816\n58005 91985\n1455 60141\n21373 73572\n49544 74159\n64842 89106\n2370 83738\n21126 39208\n65279 80492\n2155 80904\n28210 49674\n629 43629\n10233 13214\n14557 71830\n801 25019\n4837 20343\n87854 90492\n36299 46073\n5576 45119\n2703 69547\n26663 78200\n17146 27926\n85128 91994\n36039 61314\n23772 71597\n758 37952\n23867 35719\n80908 87448\n70520 79544\n12023 41225\n39663 78514\n724 82328\n9293 43450\n38006 87258\n70301 89201\n19335 47994\n48273 80688\n68591 70097\n21314 40202\n38077 57403\n143 89999\n3278 45136\n22339 29503\n90626 92969\n20898 71966\n38412 71479\n17184 57035\n14885 33880\n57874 87983\n34824 58853\n47949 53472\n32817 41680\n22959 57160\n31437 49412\n53031 91258\n23383 64621\n37263 89345\n16631 23450\n59663 92652\n25825 85385\n21570 61377\n58233 89658\n3331 38272\n14334 48689\n50308 52969\n37286 81610\n48923 88107\n14506 45300\n2315 28131\n15743 79992\n7720 80357\n44256 76666\n38925 93134\n60378 69682\n14568 74630\n67054 76392\n56168 83023\n267 63532\n5422 35723\n29492 80377\n5420 61641\n46809 88679\n16150 31635\n68153 82078\n41783 48352\n58579 65811\n49093 86325\n30162 65144\n44762 76642\n50038 52546\n25906 27405\n37917 76533\n5386 15752\n3781 11053\n48872 73388\n37016 54181\n2980 77888\n28060 58040\n11392 28690\n26227 55809\n5867 66680\n64248 74679\n59940 73248\n45384 62310\n26317 92545\n41940 57831\n24440 82703\n55958 67803\n46998 76327\n33706 39909\n75676 87462\n28647 52626\n13831 60228\n17997 50770\n58881 74397\n60657 73227\n8671 50288\n7187 28583\n24896 52460\n45081 83920\n13575 73695\n24804 27198\n24995 45858\n5720 80859\n66447 78035\n22260 40559\n47432 70936\n62213 69299\n67777 85094\n35899 46267\n9061 70701\n9284 28806\n58345 87840\n37215 92779\n28943 60357\n35399 76761\n38399 57169\n67795 80495\n78384 92377\n3238 60880\n13806 48705\n25496 44550\n35994 51443\n53415 83923\n38823 91785\n28553 54468\n9001 76300\n51915 52626\n5306 18840\n11037 32864\n28640 45289\n8479 30374\n63108 64870\n48161 61807\n82514 89519\n4506 43782\n11756 26954\n404 40000\n58722 59762\n56178 89942\n17338 30901\n20510 84649\n9727 53895\n6633 85315\n35950 81278\n30585 70982\n24696 80641\n16456 69044\n45307 48659\n17962 79881\n34157 53463\n722 13043\n58634 90320\n10918 52948\n25232 64806\n58726 84528\n61070 77484\n51533 77014\n7803 10315\n34630 57017\n67153 74127\n3377 19810\n16545 29894\n9687 81446\n14670 80320\n41298 65199\n45561 84719\n7325 41886\n53767 78828\n8755 40012\n23842 82395\n44666 63655\n22 60768\n85023 89883\n25651 79651\n21819 93103\n53931 65311\n26551 42348\n1850 91943\n56191 67101\n26472 54280\n574 33631\n84193 87953\n51260 59826\n13622 88891\n5305 51013\n7939 87613\n42945 78509\n1033 41279\n226 89535\n17490 45238\n2372 41554\n15364 66395\n54983 60950\n13061 31096\n24226 61087\n1992 90386\n4278 12168\n6060 66045\n15705 41643\n61313 79117\n49207 69628\n9775 76524\n2859 85780\n10326 63891\n19768 53906\n25540 76203\n14075 45945\n64288 90113\n20057 40069\n2 24553\n17241 51676\n23375 62517\n13326 36527\n38950 64695\n9312 24643\n47552 81193\n7185 46458\n21592 47852\n9435 80088\n3339 5177\n21613 74660\n66626 71062\n27666 46372\n29202 60924\n34703 83448\n16897 92867\n17079 58216\n2878 64387\n38144 83764\n39809 88872\n11645 44063\n2054 79984\n70964 86735\n29465 67633\n14635 87930\n54027 72572\n19771 58184\n79951 85928\n40208 49575\n27176 53631\n61327 83997\n5971 63353\n7202 35915\n55650 87563\n677 87480\n75903 90810\n16812 58891\n2560 52001\n75356 88165\n54799 65978\n34998 68916\n32691 35358\n87562 90235\n24979 61483\n19257 66444\n39151 52570\n51691 63899\n3142 18911\n11068 49439\n7979 11787\n52070 81631\n25934 50354\n26797 79784\n8540 59704\n32302 33927\n6628 82146\n1053 4112\n11037 13625\n44423 63266\n78982 84059\n8826 84685\n10802 53154\n2226 64939\n32378 44474\n40630 60410\n57526 61567\n979 64396\n84696 87336\n3374 33035\n32624 49898\n59911 64692\n9936 65885\n49045 87467\n10118 50801\n26206 31901\n19619 38102\n47417 55229\n69513 91692\n49737 84033\n27305 69674\n21681 30071\n3444 77774\n4687 80230\n61919 83745\n87931 91382\n85050 86650\n29185 81027\n8088 53597\n54355 89629\n60076 79553\n35336 51318\n2805 21391\n51594 57298\n60954 69343\n15083 60061\n68143 74152\n11644 66732\n3716 52480\n46003 50494\n72790 78969\n44041 68333\n28836 62303\n43254 49601\n8344 86837\n58943 65640\n79121 83554\n36280 53336\n18375 84398\n42605 65506\n36326 75317\n50863 60487\n3053 26932\n49360 59744\n28096 52998\n10550 78321\n76085 80296\n684 21402\n4292 18838\n54231 70067\n121 63993\n58729 80282\n44088 67450\n61828 66563\n3798 39731\n28945 85891\n74509 80078\n61692 81553\n27034 87248\n6257 20874\n37512 77918\n16426 85369\n12756 90548\n28622 41022\n23307 85349\n8913 84938\n16607 70769\n50053 50712\n41582 89154\n19131 59896\n58013 90269\n62118 68155\n43039 54408\n2453 44372\n19805 47103\n25409 43935\n23284 80950\n703 41583\n8530 40542\n27657 47912\n9125 35780\n56174 91870\n25615 52627\n3552 75385\n79605 86418\n2391 49789\n8018 22919\n38261 45120\n16154 63263\n24875 31017\n47552 80067\n25240 87312\n19313 90548\n13306 13877\n11743 51482\n56658 63139\n54388 88523\n19281 33466\n29167 88774\n22948 86145\n24422 65007\n14073 78193\n3087 91985\n17141 58215\n23199 43821\n10274 70498\n19568 88264\n8689 82217\n1350 36188\n68365 86427\n16719 59044\n6103 56706\n20338 68024\n28584 29395\n43644 62516\n2973 4358\n55395 72409\n14915 25071\n28913 33529\n86122 92192\n31134 46165\n68550 72829\n18015 20563\n24627 64524\n31880 52465\n66332 92352\n30866 46806\n48329 52424\n11280 24104\n9049 67216\n34053 51314\n10126 27325\n56342 57753\n65527 75323\n29242 78638\n52510 55131\n8655 21395\n56598 59641\n47491 82997\n4263 53727\n54991 71228\n20903 67741\n35727 61360\n48478 73149\n39074 41078\n37976 59338\n29997 55996\n32190 69599\n36386 37691\n12608 49487\n5254 85099\n8267 62168\n52047 92120\n3891 44619\n28751 47227\n65689 84093\n77780 78918\n12677 60436\n35341 73791\n39331 87119\n47307 77431\n39501 61381\n17579 21930\n66713 68714\n2176 73897\n41620 72506\n47558 64380\n32963 89694\n2759 83012\n53178 65702\n14401 47077\n73504 77998\n13424 25338\n37105 65163\n5345 15796\n5550 66440\n25662 33861\n2954 73758\n53185 59404\n53053 91359\n11155 31968\n1384 89765\n27440 60194\n8161 31887\n3991 9536\n17857 80128\n3887 84587\n5321 43106\n6359 7494\n4282 63439\n55944 90834\n39470 40002\n21788 34562\n23101 63843\n48487 72223\n82532 91788\n57633 81746\n21596 77448\n30624 73058\n37184 89493\n33668 54478\n52459 55624\n20763 92282\n49962 63845\n555 40071\n39879 88230\n33645 77931\n52071 68895\n54910 63935\n74168 75732\n72218 80206\n28013 80840\n31896 43424\n11770 33707\n7085 25778\n79789 89788\n19783 91956\n63227 67574\n36476 65644\n55077 85102\n43396 81696\n59566 89260\n55592 71621\n17874 38888\n41971 90324\n57324 77626\n10795 46788\n37159 37699\n59942 62875\n73071 87799\n63131 72112\n16521 67547\n49298 54129\n23861 73937\n65857 90359\n4649 64928\n22687 89079\n34182 68371\n11482 40126\n31516 71014\n22637 78677\n60130 64839\n67958 76218\n22864 73543\n2956 70092\n17683 66202\n10975 76578\n609 33966\n80780 85439\n31075 37039\n46952 89345\n3777 33811\n52095 52498\n25198 80662\n5860 16213\n19501 83766\n44220 75378\n35059 91252\n16849 85837\n23296 27496\n65092 75709\n17531 27604\n1541 49924\n1130 51132\n21582 89335\n36873 77394\n5491 40843\n27278 45567\n37414 75896\n2484 25571\n1651 61569\n63343 90083\n61561 65779\n71086 82512\n39924 69208\n24754 27251\n23081 72458\n1442 33706\n41254 87048\n4464 23337\n30298 83976\n8651 89988\n17466 82692\n13777 23264\n51381 75587\n47120 73282\n27160 74427\n689 14708\n75921 82515\n7127 46604\n13125 21421\n13679 77431\n65078 71919\n24846 34634\n39225 81198\n2390 73465\n16404 21425\n61508 71739\n39952 71085\n4945 7774\n83488 89888\n9713 21752\n14493 30859\n24671 73167\n13079 65202\n5758 69570\n14932 34574\n15324 53211\n3459 55315\n360 21887\n10203 61027\n26101 26427\n52181 55684\n37668 46009\n2724 55597\n45135 67354\n61058 75773\n3746 85162\n72427 76333\n41234 73419\n49142 77767\n23572 71745\n38488 84561\n4440 36066\n31963 79142\n53857 88552\n23314 57570\n902 70115\n37036 89237\n72099 79899\n48313 68130\n12442 44324\n34703 53278\n65465 76240\n20375 88592\n19267 51323\n80671 89777\n46678 52159\n79001 84107\n45276 66541\n54580 79818\n1657 39859\n28716 46059\n33355 92480\n50901 83431\n73617 82554\n1032 68442\n53116 77816\n7831 10506\n14820 55878\n14917 71344\n19213 81232\n42856 53050\n25880 30208\n1280 37929\n22441 36247\n76207 78605\n19315 59252\n51634 83096\n47882 89998\n64368 68611\n57580 70150\n11610 59583\n65712 79897\n84439 85114\n62811 90606\n56961 66519\n35024 71157\n13221 47326\n4267 85650\n69109 83947\n70634 91020\n1298 33640\n51949 79835\n6941 30015\n26962 29996\n4528 75931\n2898 29155\n3986 46708\n8337 54427\n65905 74698\n6549 56665\n2490 79392\n24245 25968\n8696 90772\n20184 29065\n9010 48792\n56480 84622\n60411 64829\n15824 30300\n53224 83458\n28883 66214\n23887 45119\n66331 73299\n25625 77896\n18799 89629\n10990 84202\n15149 71107\n35245 49138\n70867 91630\n36908 88405\n34879 47358\n18939 41059\n60910 62075\n6822 39461\n3985 81264\n14426 84396\n33942 88846\n11830 79130\n5559 38205\n17990 80931\n15334 40858\n30926 78535\n34813 52778\n73746 74869\n22254 30315\n26704 79054\n15744 65573\n74260 89884\n13805 37174\n33727 45500\n19818 25126\n46971 83448\n66433 80821\n2802 50617\n4914 71026\n6312 51598\n53616 57987\n33733 52955\n33043 85301\n32092 70203\n30296 55159\n14641 17703\n30264 92278\n20484 37564\n48327 90632\n26972 68695\n49529 73624\n7869 62770\n18865 52886\n46905 88951\n38720 61393\n38804 42442\n56783 69297\n14054 87945\n10455 66670\n11403 66321\n40351 74069\n10711 69465\n29063 62463\n19952 70773\n31743 72630\n60080 60236\n40767 54165\n37870 46593\n7918 25540\n1207 76598\n32028 36139\n11833 82406\n65535 82274\n25170 84193\n30892 87685\n16142 42180\n15378 43917\n15087 19658\n6440 91156\n28915 38969\n60274 75137\n30044 89775\n44506 68135\n20140 26669\n26121 40665\n32765 61731\n23989 38675\n15749 60685\n19670 46399\n16237 88137\n17809 77131\n69885 85917\n34822 59444\n42259 53849\n13244 68977\n8143 22564\n43748 77901\n45968 58330\n58045 63866\n1810 72168\n16235 33883\n57304 62486\n8756 10841\n39065 46183\n49964 53604\n4515 31270\n40496 48289\n45827 61197\n41274 51794\n26737 79267\n22206 88583\n51486 63348\n12524 51936\n260 7751\n50956 52267\n15185 42038\n30710 47848\n15241 79199\n65389 68432\n15782 78557\n24394 83023\n6364 59770\n16475 21725\n40177 52646\n61425 89599\n11968 66724\n42501 74522\n40224 53739\n36539 37618\n28095 92606\n23926 25129\n55374 81491\n14394 86904\n16313 57208\n8140 87902\n30641 45394\n20325 64673\n22642 47008\n81129 88352\n64703 71041\n7421 85570\n21651 72974\n22708 38998\n61523 64497\n30694 68187\n35114 54097\n37323 90878\n15872 65202\n25190 54948\n15706 36135\n57912 89427\n41786 92603\n10743 84980\n38792 72143\n32796 86637\n31926 92144\n6727 31404\n18499 85146\n54984 90151\n1328 87504\n45315 67573\n21199 80112\n11389 91106\n4633 61804\n56602 64637\n39711 58181\n10145 62757\n60765 80033\n7493 69402\n20328 40271\n8983 46932\n42759 75696\n26140 57884\n25493 26055\n4940 92612\n20676 84672\n10229 62589\n5732 41027\n43610 64068\n9784 24022\n17578 55753\n26412 36607\n23997 69913\n76807 77161\n71874 81392\n51205 65153\n59186 79413\n4252 33345\n24705 53216\n57639 92581\n470 23918\n23723 88343\n54321 66972\n76422 87968\n74114 79777\n37141 61268\n34685 79154\n6994 73139\n17116 42462\n11343 66351\n50750 81612\n11363 75464\n29842 40013\n45957 89243\n13038 21382\n11246 37183\n18144 46926\n30919 83340\n40909 70406\n15407 35240\n21938 26737\n3370 85504\n15120 76157\n49679 64477\n2514 70091\n17286 86339\n70897 91897\n17770 40242\n12000 24598\n26795 35044\n41842 47403\n31775 52642\n41522 52412\n32588 39565\n19503 20570\n1968 5557\n25264 41822\n26613 70644\n19879 67315\n26062 68394\n33089 92441\n24887 93166\n33889 41891\n57939 83554\n42053 71728\n812 65072\n37237 65454\n53480 66502\n67575 83904\n53971 62585\n35986 81167\n11469 14894\n26498 56473\n74946 75795\n28080 38927\n3754 70828\n27383 62215\n33809 37030\n29219 73988\n58334 72177\n21143 36356\n11780 84706\n22197 23501\n26838 40622\n22358 57671\n15548 21775\n31556 34655\n4919 78170\n17534 85690\n51617 87162\n8437 68064\n58320 71287\n19445 85955\n851 40325\n59784 60200\n41670 59028\n28152 76085\n3449 71677\n10367 29629\n59918 82309\n54798 81576\n35040 45673\n16316 27737\n46553 89848\n11238 31104\n16591 79954\n30238 92905\n10180 51252\n56559 58864\n26663 86383\n14759 43406\n43757 89980\n891 5634\n44370 62194\n3301 6291\n45491 60817\n4871 45373\n22517 82985\n42803 51282\n1090 34834\n62119 75229\n3582 26196\n18709 30339\n86108 91893\n49691 81080\n2954 30454\n23914 75877\n32062 67990\n49849 54440\n66906 90164\n5107 75424\n36401 81089\n50668 71433\n20004 31350\n32175 86691\n55928 74543\n12703 33839\n3244 14902\n36745 50652\n31247 33457\n28322 91159\n22671 25436\n65511 84941\n85354 91493\n15949 72662\n37506 40705\n8333 90815\n16483 66070\n23667 91649\n32182 52222\n90757 92026\n36939 58801\n10000 38000\n25669 70147\n34364 72048\n2363 49691\n2901 81664\n87 92540\n56495 83713\n67542 92742\n22332 37044\n18387 26808\n31578 53375\n15536 82854\n25040 57960\n57904 73090\n32669 46062\n18463 64675\n31893 39939\n76078 91973\n25877 41276\n16513 35895\n74954 76995\n47443 56302\n55693 66687\n14728 36835\n21834 27028\n11532 65446\n57428 64852\n36663 77185\n31412 83232\n49868 58646\n36974 52527\n1599 25649\n26627 60061\n86306 88649\n23223 49363\n3012 32083\n25644 70258\n9204 82956\n16732 35396\n14520 85629\n17514 59088\n46921 47536\n25658 58255\n25043 45391\n18719 68875\n35967 40116\n12337 66090\n43161 85874\n11159 33341\n32467 48593\n32255 46732\n76544 84241\n78248 78469\n21542 57934\n50 25461\n47171 68739\n44541 51705\n47900 54620\n12665 50970\n13196 14478\n32427 68441\n15794 63230\n28525 42549\n4301 88629\n46685 74055\n21434 69196\n20060 77484\n11933 85107\n40034 62164\n66308 90462\n27571 77862\n6545 7621\n20937 41764\n73811 80050\n23210 88010\n11168 87267\n4063 4824\n55110 78417\n35641 50657\n3442 4449\n15308 62944\n23721 55950\n6616 51096\n5297 91386\n1812 56611\n11554 91519\n17315 53068\n13776 27054\n37793 65394\n65666 73064\n23805 57926\n65350 71160\n38612 59250\n52427 53127\n13818 79178\n69627 82462\n49864 88161\n54212 80671\n35813 83896\n23269 27216\n51194 90046\n17526 20488\n56519 61577\n30740 44666\n10385 84017\n79448 82022\n18220 66807\n4050 86505\n26051 93032\n8315 47991\n35976 75626\n27949 83298\n33842 84582\n19930 31882\n42462 86004\n61827 87147\n16935 31044\n12365 77409\n26452 62460\n59388 91945\n15799 54552\n78725 91497\n12270 59853\n64074 82168\n20382 23690\n63150 66837\n63521 78503\n54436 69447\n19444 58005\n29056 63615\n19385 84350\n8751 48274\n16367 26840\n31011 57613\n24927 37533\n521 84534\n16188 19940\n58327 84255\n22922 61604\n11002 48853\n13549 52578\n83604 92928\n27303 30848\n20722 88443\n34466 87204\n4847 77106\n4787 62724\n28874 89438\n18162 71723\n23704 38645\n6459 77914\n7761 10514\n29185 42850\n5275 32212\n21698 43446\n72098 89327\n11695 72093\n18688 55570\n23567 50169\n774 15932\n33485 67606\n31012 45174\n6301 90001\n65318 84763\n50612 51291\n18979 64201\n22681 85901\n2147 84287\n2873 25373\n16760 25567\n38634 90282\n3121 10550\n68825 88667\n22314 59433\n77433 83035\n61532 87686\n55571 65784\n7594 29261\n15352 78030\n10723 36870\n55453 65321\n63427 63607\n71512 74227\n22853 37292\n32671 54326\n69835 85267\n45345 58649\n53937 61296\n50407 81416\n10135 18489\n25077 48388\n15482 90792\n10055 70459\n8361 16425\n44404 73565\n80364 92833\n1705 79832\n26487 35320\n768 71876\n28314 60692\n63240 91837\n47387 68338\n7365 12163\n72845 90341\n78207 79497\n16498 43167\n41674 75612\n34969 68845\n2904 39180\n61003 80418\n42294 45497\n29344 64874\n63262 79665\n24623 59401\n46634 73878\n10308 38169\n9720 61379\n38947 60105\n2234 77580\n25827 71573\n39653 79735\n13494 57623\n24068 65041\n59566 64965\n60969 91002\n63083 77692\n5643 82467\n11559 80558\n28778 83542\n21917 64104\n1772 20317\n11975 84405\n20447 41529\n55265 79907\n43719 44321\n3353 40384\n5727 32855\n27753 39465\n75838 86655\n54910 82648\n22543 25716\n5268 49798\n29371 78576\n34287 55655\n43617 66407\n24358 61737\n12892 40039\n19201 83005\n23784 82208\n11455 77775\n26173 88708\n24688 28785\n13742 81161\n71992 85529\n11871 77281\n583 87955\n39238 63837\n6852 41898\n4430 46371\n49869 87324\n36352 45830\n10496 72000\n1722 80467\n8177 21732\n21938 80016\n14413 24062\n78050 91686\n16829 49409\n8065 13276\n9312 11757\n53487 86714\n32865 37281\n42884 70799\n24047 32898\n23014 46583\n38679 40593\n56325 89407\n75556 81925\n13529 34551\n4703 10733\n30453 84081\n89040 92848\n24358 34198\n44414 44480\n13127 43070\n6800 56364\n22488 44857\n35902 89739\n24112 24544\n51321 88949\n8247 58667\n15987 33093\n21299 58838\n63853 81428\n17967 25391\n464 55616\n7272 21896\n4599 78829\n25251 26897\n68263 77904\n59197 71916\n57835 87832\n41325 86127\n6029 11011\n56162 61723\n40661 72734\n1372 59860\n35266 64666\n28508 83393\n36625 38032\n1705 78180\n10697 63468\n16356 47064\n41681 48456\n65561 76313\n23456 33549\n65660 87067\n32717 44604\n20342 41677\n3458 20922\n21354 23298\n4989 86818\n10856 61174\n41692 73416\n48636 50914\n16037 47126\n58223 67888\n287 29496\n939 25394\n11214 83255\n48178 83382\n18675 72109\n2889 79041\n35591 40554\n750 73415\n12052 72476\n61232 91116\n25344 46442\n5435 22933\n12050 35514\n52008 69650\n44722 88206\n40298 57503\n46553 88799\n49197 54536\n35545 81558\n57953 83357\n21049 43178\n54565 62908\n30706 79512\n11879 41724\n30018 59421\n43275 84531\n35885 49697\n9761 19711\n72607 86698\n36207 39077\n56741 87802\n14945 81365\n19146 28884\n40550 85111\n27776 61323\n30166 55230\n43773 59583\n12980 16648\n53978 69547\n21315 59348\n39102 56718\n10297 52673\n56410 70486\n45181 49511\n71477 87393\n9160 89393\n51918 71323\n11731 37812\n9007 64449\n28214 74204\n7998 76714\n38972 73433\n35770 60457\n61628 74528\n1169 83911\n15031 49192\n31871 84420\n9393 60756\n14960 90228\n25660 52511\n42896 57868\n1306 9761\n45388 72283\n43626 77235\n24346 78504\n18382 83981\n28278 80123\n55635 65115\n30596 74823\n24285 55363\n20557 92940\n19415 61562\n18064 56184\n26422 64744\n44771 47541\n17175 42953\n52749 65532\n22236 74911\n4822 45245\n29788 80814\n39261 66425\n39609 80966\n23379 23453\n38447 81549\n25649 49283\n8979 61489\n32388 92942\n37400 39297\n42402 59274\n37702 39329\n26268 61912\n11424 59535\n6748 66725\n19970 40668\n55756 91513\n26418 69430\n55249 84461\n21509 57078\n59412 76665\n4642 33901\n65087 65948\n4226 84723\n50246 71397\n18610 57871\n31432 75098\n71762 72600\n18382 69978\n57913 89121\n36819 62090\n54421 83485\n14537 35290\n65666 83432\n28779 92754\n11720 23083\n51228 86787\n47239 86796\n14913 87751\n13333 69339\n47017 67562\n7393 66120\n10368 90598\n18795 70279\n45033 91702\n1447 78523\n8578 64415\n77897 84647\n24576 69541\n25186 56521\n73345 80734\n62314 89760\n29093 92524\n58701 72655\n28650 81932\n37825 48198\n62720 74414\n5937 71395\n5661 39658\n32748 47603\n15369 38135\n22369 88526\n2720 87878\n11186 69931\n3963 23703\n48602 56252\n76136 87131\n22965 68605\n56007 88144\n9818 58150\n30356 43678\n77009 85547\n25521 29286\n20830 60645\n3630 80967\n27842 63265\n29263 41526\n20732 22095\n44796 57571\n62333 81880\n8949 51024\n50744 83726\n9553 32370\n50788 69877\n53026 58618\n16496 30823\n3593 22018\n22869 87252\n63428 80186\n18704 79848\n11875 29468\n17347 69604\n27874 79662\n33672 78165\n949 42903\n28804 78201\n11130 84220\n75874 83502\n24606 79501\n10106 69206\n18858 79036\n9380 71558\n10865 39014\n10654 68865\n10344 59818\n40116 80771\n21492 51371\n7411 65168\n7296 24192\n56363 61067\n22882 43563\n12222 50729\n39659 54407\n55050 60823\n58649 74080\n20352 82752\n48040 63421\n24575 58184\n32042 89111\n15233 67128\n32047 33868\n37756 67687\n57042 72191\n4715 86532\n23849 90589\n19698 36718\n3582 64434\n70260 88821\n42450 53510\n21235 59916\n2063 12822\n24146 93155\n63123 78306\n23540 72710\n13621 19634\n45255 80026\n43689 88797\n25902 63090\n63021 68446\n7205 35277\n50506 52901\n70772 91590\n62985 70149\n16542 90544\n85756 92894\n40190 83074\n37204 91207\n15066 46998\n53815 73665\n65066 91303\n28000 32821\n24647 34302\n35916 55979\n22686 70059\n46282 70765\n15956 89627\n10103 63225\n14189 25192\n66875 70684\n61017 90150\n73194 90008\n89444 90962\n34124 34671\n10969 25512\n28861 48607\n40357 57231\n3931 37322\n9015 86088\n36093 92830\n50792 55988\n781 41158\n20968 71209\n70366 90495\n49893 77319\n52135 57400\n66745 83194\n888 50196\n37246 61737\n44669 89579\n53576 87213\n31947 66431\n72035 93154\n31048 45667\n44087 82437\n21354 52435\n34700 34793\n49236 78841\n3210 24871\n45392 78558\n33355 60645\n54360 80460\n53233 58220\n50825 76564\n33314 93041\n40021 72735\n30148 81740\n32391 56382\n17721 20934\n48597 63261\n35674 59018\n76491 88690\n42364 86139\n35518 73216\n22123 26424\n11808 55660\n22193 61044\n70858 76035\n65487 72429\n3894 38380\n9929 25889\n16307 19565\n73116 80376\n69370 79135\n2548 24793\n3830 18008\n53874 59668\n11680 22541\n33677 59508\n10714 42075\n56117 79308\n10401 90965\n36995 65870\n29232 90052\n60302 65475\n47236 57314\n11580 46975\n1612 40643\n17742 67978\n8641 60992\n39842 68127\n46854 86280\n28606 77912\n1002 36226\n57497 59868\n20432 81095\n30412 72581\n11604 49791\n578 1790\n6037 59425\n40872 63826\n16247 79163\n21301 39135\n21501 44552\n11448 69950\n6043 73625\n40139 48235\n46857 58702\n27856 92840\n38232 76601\n11623 16548\n56208 67893\n2199 34435\n25601 52169\n18825 67058\n9928 86909\n20389 58271\n49479 61126\n4978 38721\n23312 50145\n58486 85851\n11397 61736\n68179 78042\n40710 62500\n22902 56662\n15621 40367\n24441 74466\n7499 75472\n34666 40115\n15816 76254\n17957 71721\n13710 85759\n30214 83163\n27540 47697\n42053 47725\n24951 88889\n13942 63603\n64556 66908\n24863 71635\n16412 71790\n18120 88994\n37076 61933\n8588 48383\n41317 73892\n56934 75280\n22829 35176\n61156 87287\n27841 42635\n5234 38790\n159 89175\n40561 63532\n14929 70935\n44805 47903\n24421 43847\n17166 49545\n6300 58720\n34812 60060\n52830 71141\n109 41754\n34369 81311\n38972 64034\n11949 20605\n37979 56207\n35508 62338\n75801 77907\n7850 45178\n29182 90323\n15494 48379\n14070 32078\n6183 87110\n72551 78683\n24990 92289\n5377 12023\n216 12727\n21335 67969\n17619 36893\n19470 87522\n38337 59054\n62849 67151\n17984 49146\n15930 47066\n78175 83757\n6292 89660\n6844 86807\n24754 77066\n28618 59268\n68337 78667\n8085 14823\n47886 72201\n7344 65850\n57662 79933\n44 67235\n25351 69699\n41926 88357\n22587 89405\n73510 88996\n33539 75526\n45229 65086\n7892 36165\n66630 92126\n49132 82267\n63891 79129\n31843 40546\n34520 53767\n11589 82471\n19113 65658\n1413 73960\n81260 85835\n13493 26132\n61760 78723\n67712 79373\n31635 61362\n14201 44147\n13812 90930\n13041 34018\n60298 61673\n38399 58214\n18787 21901\n15905 22231\n34868 86047\n24567 41617\n27185 87657\n33249 65719\n23181 85985\n18387 27393\n44629 90288\n27630 83415\n13258 56652\n46008 80655\n65613 76352\n53642 81445\n70738 85197\n35816 55632\n27328 38503\n71504 79883\n1108 16109\n65721 89650\n46593 78110\n18780 51672\n58390 58796\n70667 77160\n68780 71684\n50808 85951\n47287 84174\n51002 71494\n42703 58360\n37519 72980\n39513 73782\n10459 40914\n10527 89570\n42371 76009\n47448 51080\n16552 31799\n69127 92174\n33283 87058\n10476 36505\n46945 85200\n16188 44771\n37803 41442\n16684 73027\n49364 50991\n8436 40180\n25426 85326\n28285 77839\n19999 68817\n4156 72288\n10220 91851\n35451 75005\n17786 18793\n61208 87402\n80406 84465\n14169 42764\n35849 50237\n56421 73334\n5945 46497\n12275 77311\n17908 32150\n7383 78015\n18755 67458\n69596 74981\n37195 51315\n8392 9536\n23606 77838\n17419 19985\n14656 15188\n20522 24632\n47859 92623\n7606 88089\n16697 61909\n31628 54175\n8733 69756\n22303 79481\n4865 85106\n15116 31528\n65612 79519\n23389 53303\n38412 92031\n7612 61062\n3985 57246\n56648 85549\n11318 65991\n39154 46029\n63805 77266\n10253 82064\n32603 89838\n70504 74783\n58886 87677\n15299 30067\n24715 54639\n40921 54261\n29414 73408\n15127 53516\n37545 89188\n31306 52434\n64549 69863\n7593 8900\n59962 71478\n42190 64960\n2553 22490\n28423 67785\n4711 10263\n8248 12493\n35130 45973\n43942 86442\n31465 47389\n86839 92125\n50258 69315\n54583 80292\n58810 63415\n27070 49730\n24526 53233\n19125 22507\n21120 29120\n41386 41556\n7411 89071\n28510 82571\n50248 67381\n14272 60780\n9686 39269\n74323 78642\n16481 79346\n51972 93145\n8940 22193\n24143 24758\n3839 67124\n64507 64739\n22394 81658\n46214 55797\n32461 38213\n8636 48337\n48356 91840\n19291 40176\n20929 24660\n73025 77701\n9337 82699\n36877 61522\n29001 61668\n36144 51493\n64666 68236\n68598 77947\n54236 83938\n24760 71195\n29905 45642\n16544 22929\n22265 59736\n10572 88503\n8671 11034\n35344 64196\n75147 80945\n12964 15207\n8693 54043\n38368 82938\n24540 85363\n68093 89754\n23782 32119\n6050 90919\n62471 84363\n30175 77126\n26681 87926\n17847 60336\n75354 80324\n10062 14005\n15289 69660\n27623 35228\n1563 30215\n15620 72761\n32285 50009\n44820 57283\n30992 47306\n69852 85090\n48940 49128\n10384 19469\n27665 33918\n193 12380\n60604 85056\n26712 60426\n48205 68950\n2713 52250\n32786 72769\n76289 91837\n4858 49428\n37929 63044\n31678 80257\n5194 89214\n14825 27618\n16450 38187\n45001 54156\n54905 79553\n1573 36060\n51093 63918\n3776 64943\n41299 85531\n4107 66829\n44289 75431\n39832 86672\n23447 72109\n8133 88116\n16537 89574\n3822 63555\n44267 66703\n38302 85265\n15524 25557\n25604 91778\n54976 61683\n12272 69291\n5324 80848\n34799 72550\n43426 44574\n12832 74389\n77177 77385\n25145 41232\n7353 50795\n75740 76340\n59151 93178\n33377 61995\n6122 66068\n59265 71657\n66851 80165\n4600 85628\n25351 46477\n4157 89688\n6718 55887\n33443 62714\n34060 52892\n7306 34206\n37690 42626\n33972 62260\n8928 52993\n19663 59663\n23183 87247\n27446 32917\n28638 75828\n3113 41826\n9070 21230\n64331 83197\n24031 53198\n69746 90802\n15182 82257\n59409 71873\n2167 17416\n9123 81874\n5147 17952\n49235 76037\n38772 60811\n33608 33894\n50192 71810\n17371 40077\n82341 83682\n21362 30863\n6714 49466\n16231 91194\n35162 57578\n33566 45020\n64436 87801\n49712 50898\n24380 37620\n722 89572\n24885 63830\n16271 17402\n8718 8870\n22824 55808\n49908 70439\n18884 28954\n16889 45802\n47773 69677\n16397 35485\n69336 84946\n59067 78204\n234 92116\n7945 43919\n28048 52591\n66104 90244\n1931 23674\n3210 5736\n39881 91323\n58052 71104\n5607 64703\n32417 35099\n14033 37029\n16493 66304\n12774 66180\n3910 58957\n2377 60386\n10125 32118\n9806 9853\n33453 85792\n32945 55674\n5653 23678\n18028 34401\n7213 75765\n16538 38546\n74200 79918\n8911 86324\n11923 75180\n60622 74217\n51457 79288\n59096 63705\n7864 41954\n48950 90490\n11706 48331\n64305 77015\n23699 53444\n49814 80884\n37802 89264\n8048 90839\n22744 77621\n11343 17689\n35128 73524\n52469 64714\n21694 41239\n8161 59328\n12092 56793\n52284 55845\n20625 41325\n32963 79572\n28248 38599\n42220 50504\n65489 67047\n34534 68131\n49993 73901\n49780 56187\n16443 54055\n3009 22193\n9176 42708\n3017 75617\n3199 84641\n19907 20229\n27455 28050\n65259 86915\n66462 72123\n26335 72937\n57806 89026\n66091 67740\n13686 61702\n9687 32588\n30754 91904\n31560 90471\n28894 67725\n34903 51756\n17286 28853\n19413 41769\n25842 45079\n13848 22428\n44031 44727\n47002 75396\n63388 70761\n29542 87930\n44098 48501\n1985 88605\n42213 60375\n2360 35289\n10193 51276\n20547 61208\n24587 86908\n734 67340\n51740 78000\n55363 75087\n47765 65913\n13255 65752\n8585 37205\n10953 35202\n5664 36958\n7570 18514\n3359 78199\n29198 50762\n59320 82178\n9967 65989\n6527 17875\n36673 59086\n32144 91305\n16442 49470\n65686 77629\n7569 22695\n35467 64252\n64773 83864\n48722 70939\n31385 80317\n47885 55330\n61201 80808\n13269 59167\n1195 4679\n16872 61179\n26678 32570\n63553 70112\n12271 37810\n51584 83352\n67773 85949\n44703 77757\n27318 86103\n36414 65945\n36242 60495\n40024 91851\n35529 70389\n4604 28817\n20348 74886\n27443 54417\n29779 76135\n25623 58780\n38644 79113\n30459 69277\n33051 89319\n12799 24015\n35106 68416\n1080 84090\n17081 77584\n54279 61261\n46812 75797\n37172 73311\n12396 43411\n69285 72697\n80499 80980\n12844 60847\n7468 66066\n4266 26477\n25833 59962\n67753 78627\n13257 20785\n46140 71022\n32453 88577\n35538 78856\n66341 81959\n20109 62914\n36794 88829\n66726 77802\n26532 78599\n51074 65329\n41138 51096\n16958 59030\n75880 92018\n59293 74696\n3843 75361\n46002 60159\n73714 93168\n30727 88946\n20703 54470\n12162 35671\n81298 90280\n57628 71413\n79697 80478\n74100 76525\n18638 34918\n42089 92572\n76375 88441\n37910 83831\n31102 81759\n90453 91437\n62157 78296\n18 33842\n29094 80988\n24666 26047\n1192 89104\n6646 16405\n29040 31507\n38933 86909\n73253 79394\n37360 81001\n42084 75648\n35516 76695\n31096 79594\n35516 86126\n3260 76479\n4154 65856\n8864 68759\n6945 37021\n34681 84036\n41651 59198\n27255 46957\n37933 45913\n62906 69645\n69823 80187\n3303 16973\n20169 28602\n59079 65678\n34953 54869\n10393 51260\n87566 92657\n56698 66238\n659 37279\n16147 31145\n2318 74056\n43355 72696\n33621 52913\n18509 57894\n16281 78161\n40136 90370\n11689 86704\n56557 82481\n45728 63735\n44527 51363\n82576 82582\n334 61911\n546 55668\n39482 47933\n43124 87020\n25048 83722\n51058 84606\n21151 77390\n16092 84950\n7697 38503\n42354 53430\n55207 87450\n20895 72589\n68718 87693\n48701 84796\n26203 26640\n62171 62295\n15578 84811\n29346 68311\n50063 79487\n10646 89266\n69672 84599\n11296 63406\n31034 39660\n21245 52075\n13497 86372\n30489 77887\n8302 59064\n916 69532\n11106 12958\n35376 62180\n47399 78524\n72823 80878\n29553 31022\n27575 42911\n11991 27503\n1857 82202\n38831 44148\n32533 36884\n52975 53932\n18018 26871\n27152 53752\n7899 27779\n28553 92801\n46853 60105\n40168 73454\n75468 92820\n25340 83098\n13232 57664\n49896 56011\n3134 47177\n21309 39461\n21996 71902\n54080 69586\n59479 60471\n43657 48751\n36063 69003\n26740 74032\n37366 40320\n17181 32104\n28502 75906\n17912 28299\n76590 81868\n30409 50161\n51368 88746\n23856 57608\n33901 90920\n58317 70235\n64512 79680\n20749 54617\n13772 70467\n15267 20181\n32912 59139\n605 40430\n5847 47491\n39710 74815\n78137 85277\n51606 85494\n23575 48843\n1443 51744\n12792 39840\n61811 62649\n23552 79262\n959 38977\n11692 45311\n22598 82708\n24639 52684\n37017 66733\n21286 62713\n46655 48088\n37150 90303\n57263 72516\n275 75898\n79723 80755\n722 90953\n3737 39991\n13267 74004\n44932 70145\n6419 39383\n61293 75554\n4375 42426\n46700 75312\n47702 55441\n51911 74833\n65283 65945\n32391 49183\n18080 63775\n5151 54964\n9727 41803\n50217 64882\n54120 80531\n46953 74089\n15314 56818\n7213 77467\n38282 42822\n38502 87209\n5264 84666\n33779 72249\n11949 15996\n16230 29777\n49799 81973\n14388 56832\n35368 73504\n66682 75009\n27869 68417\n47658 78996\n33293 56775\n3048 69073\n35654 36890\n23424 81800\n36202 44936\n67557 84416\n3305 40616\n25984 63368\n528 92421\n41814 77678\n63557 83284\n57254 61757\n69638 73712\n66759 91103\n52631 81639\n37970 85799\n55357 69583\n19782 39303\n38737 70848\n27757 32241\n55947 88926\n61913 84612\n2260 64982\n55707 69900\n30743 48974\n2588 15845\n25658 67744\n16655 85894\n31315 47280\n65896 77988\n58561 72646\n44782 64436\n14551 29562\n25054 76716\n76680 87128\n744 35069\n2982 34745\n10007 17194\n33401 76396\n21550 55967\n16543 75700\n8407 31094\n26087 28558\n29629 69654\n20784 21545\n10213 33192\n8740 91922\n74796 85353\n15576 71528\n32265 87218\n23458 75572\n82305 90695\n14416 81722\n46186 76298\n35417 52040\n8121 46839\n65911 92802\n6078 54446\n14966 84659\n36507 56206\n5701 76064\n5522 20586\n46310 86406\n54887 78915\n14064 40255\n2535 88498\n48096 54191\n48427 87329\n25742 40003\n62453 66759\n10660 77321\n77130 87395\n19741 26969\n41517 66108\n22126 57252\n24166 70966\n12937 77531\n11468 71799\n44853 78413\n1878 79409\n12841 89591\n48560 71834\n12361 79146\n79013 83822\n26816 70578\n56865 69411\n26148 43483\n8857 40825\n41932 70211\n25017 92469\n78222 89739\n272 27473\n15425 56950\n9536 87590\n30403 58524\n10616 64566\n42565 74533\n23618 86011\n3200 67230\n79221 90958\n1739 23814\n27112 92816\n8860 89128\n40618 53039\n25516 69435\n4866 18859\n11579 53721\n14960 80389\n3583 22381\n41347 69365\n759 41003\n9360 55043\n3415 71681\n19073 48038\n11827 84531\n9045 62735\n6852 45802\n33783 40758\n53387 73180\n6980 53219\n63199 73284\n7618 55484\n41915 61708\n3904 48560\n40967 43897\n63452 78876\n31975 47664\n28217 85667\n24932 86926\n2664 69477\n58724 74983\n20453 25497\n17313 59952\n45477 77554\n27311 85988\n2345 47341\n54247 73880\n8831 46098\n19274 87082\n5472 74933\n80092 89622\n18163 36626\n42149 85271\n60199 68922\n815 56412\n44752 67325\n22412 35232\n22094 23638\n32595 64333\n14316 75144\n31407 92681\n46701 83219\n67672 81331\n78678 91728\n26487 87050\n23014 27081\n52836 86994\n4210 34940\n18930 33455\n22018 62579\n48870 79407\n33240 63378\n12100 80077\n27605 60097\n845 56386\n15815 46107\n5375 10170\n24208 55048\n7690 8586\n39417 57227\n16977 57345\n62883 76976\n1457 35010\n65759 92530\n32145 35417\n2754 77448\n39175 86335\n37002 59411\n4896 29439\n23902 80134\n1237 70793\n44052 75920\n27481 55744\n62038 62182\n53327 54593\n20641 34184\n32539 33545\n18922 88693\n41475 73688\n29541 72866\n36518 45582\n20412 79128\n13050 71419\n12591 71711\n62274 74079\n33520 63875\n43048 85860\n2763 79387\n63585 92515\n49259 57734\n8573 67209\n8281 85628\n30375 92693\n34315 61537\n64499 91412\n55728 77897\n38864 87056\n64678 69817\n11651 75284\n8571 43568\n10234 15122\n13469 67432\n44446 75124\n44409 48850\n26683 81583\n23981 81140\n44000 80551\n28523 68771\n14494 55737\n17077 54315\n54463 63406\n4266 66195\n52008 57872\n20344 31211\n22856 56211\n29902 60041\n476 70861\n37450 67511\n41916 51040\n72880 83356\n1238 27666\n66468 79431\n2239 88961\n6402 81056\n16082 72233\n20486 87381\n3057 10373\n19145 75637\n41464 88261\n68705 84756\n15531 66659\n42360 84127\n19359 68638\n49701 90847\n54407 92868\n1059 18531\n13486 44405\n23183 87900\n70622 85294\n26649 28235\n15507 16787\n40100 46806\n34247 34760\n21449 33290\n68447 81322\n53100 67590\n25990 72489\n60268 72029\n64418 77700\n20210 38869\n72844 77579\n35619 61825\n5672 58923\n13911 89125\n54244 74789\n12198 60542\n21296 21332\n28615 52558\n10096 86279\n52900 53257\n17801 45431\n13793 81784\n2091 80609\n40887 53705\n16571 29573\n33488 59759\n47570 74005\n77724 78707\n64055 71822\n52870 71491\n57175 60409\n24336 34795\n21052 91451\n42850 64496\n23421 52201\n45275 67304\n28014 92543\n45444 53582\n44862 88375\n69137 70705\n27342 78062\n80898 82258\n579 78076\n4689 27569\n42587 59964\n67986 80221\n25195 55732\n43030 71740\n209 42318\n37638 54793\n42409 62062\n16318 68292\n48604 58584\n22110 75743\n322 11258\n3548 4695\n23171 52766\n31232 34889\n11074 37465\n9842 21952\n64089 66025\n52211 78275\n58214 81689\n64304 65301\n66008 83295\n51659 62723\n2146 80501\n43769 90659\n51708 53382\n2034 58587\n69733 70863\n17753 56503\n9936 87990\n49312 55265\n25519 41831\n49545 74140\n26050 59274\n13939 19201\n61686 70597\n11501 74280\n2870 12761\n13381 77730\n33045 56001\n12939 49457\n42913 92577\n31814 47452\n68262 87530\n31382 77687\n25363 51599\n8083 87824\n16301 28800\n45508 83716\n65129 90764\n37468 71800\n51975 62055\n28809 36253\n28043 61809\n5832 14470\n6310 71927\n13207 91038\n75349 80643\n34541 42923\n28358 35475\n3273 22832\n48681 88675\n26400 41964\n71109 93008\n21777 53297\n4730 17281\n62339 82010\n28411 42816\n12496 42979\n26852 45660\n49330 81482\n921 26584\n41383 92372\n73633 75907\n18041 89637\n57918 60710\n45349 66734\n11192 62630\n43681 81751\n12689 17973\n1616 8884\n70835 81937\n5054 56309\n13999 77924\n3142 69656\n12364 24280\n11413 14169\n23017 42986\n14434 16557\n26266 58643\n43759 62488\n27459 79561\n81496 84696\n15613 72049\n89967 90333\n61492 85288\n1107 73028\n74507 90516\n36003 92412\n5743 18786\n3704 36833\n5133 34217\n32107 64358\n16523 26235\n47331 61162\n44563 65408\n42304 49819\n23337 70942\n43047 76399\n33840 52733\n8733 17558\n45451 81077\n8060 11173\n38585 60129\n40708 45973\n48887 78750\n27969 38652\n24504 30973\n57605 85191\n243 89296\n59854 78768\n66134 69502\n18981 79220\n24446 72521\n27598 46224\n57374 59518\n68187 81739\n11594 22184\n13929 29609\n4833 20315\n5633 43775\n18016 66845\n21617 40234\n19754 87600\n28837 65474\n58032 83598\n13028 62617\n31795 47833\n49521 78050\n8523 36089\n60025 82730\n33316 52175\n38620 41008\n11908 85517\n12270 56884\n2952 67925\n5422 77382\n68368 91730\n55426 76030\n36951 89684\n13126 43220\n9402 58577\n51924 58748\n32697 49939\n60829 62265\n16918 50836\n15869 92278\n64782 91681\n17833 21531\n333 18919\n3720 28618\n31453 63544\n1672 19060\n15706 70996\n13497 77557\n10070 74354\n19384 31016\n37069 47597\n16089 74326\n29706 93150\n4315 90010\n24918 29152\n45992 86874\n50896 71056\n38540 56178\n70971 91912\n27286 56141\n73573 89100\n54447 68632\n20445 82535\n38015 48298\n31265 65477\n46574 70801\n3252 91644\n27441 31770\n52885 90991\n12917 14688\n1849 76068\n19073 54120\n21687 78804\n34152 79880\n28291 33993\n6458 84189\n41356 57871\n26625 56667\n396 32956\n6372 26391\n83682 87148\n60770 84546\n994 63976\n47443 59065\n42685 90846\n1351 8317\n52606 84165\n28606 71108\n15355 67574\n10051 80278\n59193 85369\n20160 29177\n3543 76049\n2922 26213\n10305 51384\n43847 46543\n20806 39347\n47328 61488\n16266 88068\n36077 63258\n21988 25028\n44078 87390\n12306 75561\n31857 56153\n4622 37814\n33240 68373\n69400 70969\n32395 65725\n28669 62878\n75390 87450\n45357 84983\n51591 52974\n8576 64955\n22219 26210\n23863 45167\n26142 80993\n47614 63770\n16846 40178\n69037 79219\n18103 59634\n3360 63393\n53346 79926\n3088 7932\n12233 81599\n42173 81382\n12701 67123\n27063 43227\n84593 88673\n895 85676\n6304 32773\n23757 82092\n37069 82983\n54357 79740\n45527 47371\n61026 86550\n25652 75664\n56215 74677\n16168 41317\n5698 79374\n80746 88979\n23139 32483\n2849 77648\n38814 86002\n19845 31451\n32039 65940\n37694 60413\n24194 90557\n16646 47445\n34478 69764\n16774 57726\n30830 54980\n72798 91843\n15136 72254\n3919 29642\n76270 77649\n17481 56838\n61382 78481\n33085 73294\n34637 59626\n69151 76700\n48908 61235\n76977 91117\n65617 85252\n555 68888\n57256 85013\n5296 29720\n61105 70130\n72113 84929\n9604 71045\n32239 48368\n31615 64650\n217 12842\n16539 26801\n65114 74445\n79372 85739\n38280 53244\n12569 12906\n57663 65927\n6823 32741\n44887 66147\n29362 56367\n44835 81304\n26591 80420\n20386 52130\n43565 86938\n31463 81762\n16989 64591\n35910 65956\n15862 93165\n7471 9859\n43706 89796\n11245 81692\n6010 19805\n43452 67784\n12083 43096\n44880 63951\n15181 91625\n19117 74304\n53733 69762\n13466 81004\n8415 8868\n39543 39614\n24692 41910\n9053 39688\n62927 63578\n43320 84135\n62512 84783\n5614 42290\n75961 83623\n8848 13899\n19320 82207\n7583 90362\n12220 29703\n63150 78056\n46038 77140\n10458 89876\n6954 70612\n84045 86349\n22894 75011\n27376 38452\n18795 43782\n15466 25606\n49629 51189\n34714 68552\n10477 22818\n8796 64936\n37966 74267\n8870 34050\n43696 58282\n1045 44847\n23814 65019\n26024 65552\n32238 50324\n107 78055\n1890 21664\n36686 44590\n36652 72881\n43549 46766\n33507 76025\n74155 87500\n46227 75065\n8327 23724\n10488 68016\n27298 27620\n50712 67354\n8458 40220\n5780 47330\n4743 46799\n54335 82620\n17987 35464\n19923 91352\n28870 41644\n11228 21347\n15008 16255\n13388 16339\n90380 92504\n31275 41861\n2866 78826\n28890 53083\n29951 34508\n24892 86048\n76222 80199\n21088 71971\n27098 54540\n20376 67007\n36103 75650\n4173 29806\n11763 81868\n60275 66149\n32335 49293\n20049 57163\n21003 81392\n21905 85844\n15410 92478\n57616 82112\n19122 73442\n18604 70026\n29887 40866\n23780 29842\n52088 92877\n32607 56561\n11955 80269\n38624 75449\n43843 90371\n1796 35516\n60835 63630\n65854 81943\n49034 90747\n82844 84874\n20353 78952\n54361 74204\n41472 88408\n16919 71763\n50610 62554\n8266 16403\n62215 84041\n39674 68280\n21307 40118\n38373 54518\n37838 91893\n28179 69779\n632 16004\n1684 5430\n13050 42021\n58141 66170\n21473 58223\n21829 22156\n1082 81530\n24790 60108\n2813 41921\n41513 49610\n49409 87763\n48040 71853\n91579 92302\n53830 87789\n36037 73574\n330 78637\n69913 92936\n44627 51573\n5368 29038\n44915 90486\n1267 34157\n279 56613\n34232 43828\n17020 84785\n5310 60370\n30444 52291\n32381 85844\n58350 78418\n20360 46854\n58438 60226\n27927 87156\n61581 67929\n4528 64625\n846 38247\n41343 71877\n62310 85481\n1430 16079\n65962 83758\n87566 91577\n43421 64008\n17028 76284\n23595 58677\n3227 39889\n7984 33825\n31656 35965\n11577 90087\n19535 72046\n45828 76589\n7537 15563\n3563 49425\n44569 63209\n16258 45989\n46921 88567\n34919 88774\n28102 75988\n51125 86078\n19404 82746\n17565 55406\n23401 66453\n42786 60881\n4596 56952\n2006 7186\n86658 89665\n64311 80938\n23870 38150\n58332 65564\n49230 70078\n67145 88245\n18041 35880\n28786 58165\n34920 82694\n29910 32406\n32878 38018\n30810 66895\n55312 58140\n8243 50382\n3557 74926\n36970 48481\n55312 85277\n58173 78699\n31318 36421\n17843 89690\n57944 76471\n21892 88546\n35704 43125\n79966 84076\n4478 75810\n13853 53291\n40165 60518\n3152 57160\n41505 81754\n1285 61639\n9789 59915\n19428 22748\n36727 79414\n17357 62318\n8328 70234\n13619 20599\n7134 27735\n41645 55917\n43479 60035\n2993 32000\n64246 77216\n6495 79353\n11577 53994\n42739 90742\n811 42831\n24230 58662\n28711 35122\n61630 66666\n8319 78185\n4489 50302\n40147 87313\n44672 47432\n29907 43654\n15419 19410\n13117 47193\n24395 46604\n18317 25112\n28244 81679\n52569 73530\n54203 82706\n27183 36307\n33739 38466\n30337 88920\n21325 24055\n3651 77336\n30366 37218\n18613 89874\n23994 24819\n36599 46782\n5465 36060\n74308 87893\n4993 14721\n18568 23428\n37 55538\n52718 88365\n15772 72957\n1744 74768\n11214 81192\n26491 59124\n5286 50672\n76952 78337\n19797 86885\n26342 64067\n63750 92356\n26183 61861\n30636 83599\n939 15097\n58512 81598\n38456 90974\n1260 25090\n66277 92939\n51706 72324\n3267 11072\n35986 82462\n45099 50148\n62219 81573\n6911 76741\n80582 84848\n22358 39513\n22406 54903\n33500 37884\n66426 76940\n11653 48628\n26269 88340\n62476 87074\n28955 52156\n54662 84763\n24048 78614\n30228 50430\n50528 68049\n13171 15789\n25507 77745\n90053 92117\n75582 90762\n37935 92837\n4760 74292\n20755 22040\n31715 47905\n24405 73926\n5407 50561\n12352 90798\n38586 40257\n12796 91702\n2942 30636\n674 79262\n38005 39979\n4384 43922\n81863 82566\n28128 47445\n28429 92898\n3450 78567\n1326 41266\n2776 16098\n2229 6046\n15877 31956\n56884 62171\n48024 66598\n61880 81907\n73952 90984\n8057 67289\n35773 53517\n16817 71712\n53385 58417\n33764 61282\n37959 41202\n52050 67222\n45407 62989\n46550 81756\n19160 55233\n31350 64904\n62610 74126\n49506 84253\n46763 91568\n27252 85876\n20818 70520\n63230 70156\n66099 74789\n11959 50614\n22821 70275\n28630 47452\n25014 34633\n81120 89684\n3132 75398\n25089 85283\n20 23078\n59781 85251\n79283 84875\n29347 71387\n61714 75716\n3109 84146\n27426 85628\n45833 54185\n6594 83537\n53911 91799\n43480 75375\n5609 57543\n14999 80402\n7855 72780\n55609 84800\n75292 90614\n51655 71703\n9997 17313\n11001 15484\n38372 78843\n9723 65857\n13450 14861\n79082 79973\n25020 40394\n23666 55886\n4567 42399\n13414 19892\n55563 91168\n13619 43005\n23411 59638\n34225 64709\n88429 93033\n5878 72584\n18059 28010\n61367 75594\n16540 59167\n39068 70133\n52298 66177\n18929 55645\n14527 27512\n52797 65524\n8598 23830\n19859 49276\n40774 42328\n33811 56040\n29696 38765\n28480 30120\n22046 32115\n64618 81795\n20325 87036\n30420 48639\n78463 90014\n60070 90497\n6199 91197\n23348 46983\n12281 58520\n68488 73796\n50667 67895\n31372 56855\n66678 79272\n7626 88516\n43054 87988\n29775 38085\n2928 50812\n47071 71832\n50565 80129\n43383 70544\n72071 84662\n54928 57259\n3267 72910\n34221 54504\n28117 36349\n22195 50441\n28131 56511\n47297 49388\n17237 87976\n290 47132\n1683 12289\n13263 74185\n47977 78303\n3846 28704\n56101 63283\n2539 62734\n14782 77892\n17125 73178\n52508 66921\n42466 66439\n12205 20642\n38794 62146\n30954 85677\n28891 65936\n2711 49740\n2451 68819\n24739 90701\n34535 71103\n51983 88738\n74420 81347\n51149 64747\n66091 79134\n12606 89465\n209 36937\n15340 32405\n11588 56484\n169 82526\n32017 36066\n52312 65434\n53376 60208\n18512 80144\n49184 62981\n30900 52344\n49784 73596\n49255 62330\n6457 36161\n43558 48073\n31266 33151\n80613 82556\n54339 67380\n3503 17002\n53181 83161\n45395 68134\n35831 51851\n12589 36297\n36922 51721\n4230 38041\n51577 67668\n20637 92124\n3429 32067\n39785 89769\n17757 19295\n16349 41024\n74393 92646\n32476 36393\n31125 90106\n73436 81485\n6206 19131\n60876 84810\n20410 42821\n34912 68119\n16815 58240\n39974 88635\n8529 47423\n13916 26433\n10655 62930\n87911 92503\n28815 64657\n34803 71659\n15040 24564\n13750 31149\n24427 84227\n34118 82042\n7002 59406\n12589 33109\n46730 79420\n40356 89337\n12497 69141\n9489 82602\n76193 81064\n9565 50311\n73885 91446\n50055 86222\n8716 87045\n5679 18118\n50883 81158\n40573 49450\n51976 72217\n13878 61119\n46070 49039\n9339 44659\n190 49966\n21759 77948\n6484 85200\n58786 61716\n15950 57160\n10733 57059\n4942 6630\n25368 84447\n27836 42613\n5113 8218\n7972 74403\n11563 43598\n74213 86352\n30201 39895\n61128 85504\n755 80879\n47879 48181\n16642 48789\n69522 77073\n50975 67308\n6039 61017\n2895 85811\n12772 84735\n52023 58193\n12895 41048\n37019 70520\n28560 30288\n20586 57716\n41885 59114\n31510 50911\n65345 84795\n21651 80492\n1844 34161\n794 72679\n29849 33611\n22644 46609\n16106 17726\n33600 84044\n62353 85206\n42719 84097\n72036 72862\n46126 63764\n58380 71670\n39034 56227\n4044 41565\n21150 85880\n15116 18781\n1115 60355\n77269 88836\n30121 85973\n42855 90049\n44734 70948\n27817 45359\n23987 66082\n39276 66426\n44299 45161\n1989 29520\n2360 39606\n8017 71662\n23232 73254\n38325 73617\n63977 71301\n58779 60722\n18421 86368\n32823 62436\n29719 87661\n22711 65209\n5600 28280\n42017 67044\n33839 58497\n42178 76477\n47987 87116\n42024 72116\n17508 55826\n73510 81563\n3271 33833\n19938 89492\n21197 78162\n36974 37023\n53170 75129\n25458 88669\n19506 23440\n64687 90895\n8848 88501\n71061 79473\n31891 93152\n8679 83782\n19027 85668\n13824 79949\n40816 75008\n9936 40926\n2340 8816\n6596 76069\n9432 63561\n57919 74212\n60361 62627\n35082 38502\n1624 60529\n62936 85615\n37723 65189\n19312 87551\n5136 66511\n16281 20388\n76704 88335\n20044 83148\n51962 75841\n42386 60861\n5403 80549\n2800 66507\n5781 14600\n42465 64660\n32232 51363\n18414 53385\n15680 80071\n12619 52117\n56993 64983\n23483 90116\n7935 62960\n2959 19629\n72016 73020\n17718 47516\n25109 32190\n71814 89979\n19836 55100\n1987 8451\n26941 64131\n28985 60242\n30774 87382\n45497 83058\n33722 84702\n11478 24498\n42596 85672\n24339 60190\n13757 36217\n13448 42911\n52994 75667\n73 43699\n50248 54053\n47872 54148\n32896 81995\n77257 82267\n3157 43461\n38769 74072\n81679 92095\n20563 90917\n53980 77153\n13266 27627\n11470 31898\n49164 57100\n33245 65855\n30835 50901\n38442 91533\n41783 76972\n50229 86986\n2423 88138\n5947 59956\n62533 62876\n6558 47170\n3947 51216\n9340 84801\n1739 75011\n5002 82027\n36076 44194\n1565 61104\n45686 85293\n76974 88540\n12875 77636\n80176 92844\n6801 88580\n30394 43814\n2903 76232\n21908 26559\n63568 69196\n54465 66839\n19842 84810\n13607 14881\n20432 55010\n84389 87979\n56992 72350\n33087 48106\n17300 28879\n389 44109\n27702 45264\n270 52395\n6138 80797\n13997 82768\n49475 78660\n24533 39494\n27117 41897\n69677 76437\n265 33124\n6614 24209\n9208 44050\n51594 88005\n3152 7075\n36482 60423\n28585 35594\n39833 81407\n13274 80479\n44881 69993\n73404 83700\n87100 93067\n17601 28411\n11338 85448\n29878 51109\n8844 31182\n74562 84798\n57970 77142\n1791 80041\n34339 75650\n44367 49917\n51751 59977\n4604 53702\n17881 21737\n73182 93056\n27307 82778\n454 2033\n35276 82452\n48639 56763\n48239 50881\n17219 23173\n48831 49519\n43554 87139\n69338 77202\n50574 88697\n127 72282\n64039 68690\n27706 42417\n33424 53611\n51302 60857\n9390 65717\n1765 82013\n33533 67726\n45163 73503\n14462 91437\n50929 85970\n24645 53526\n1 47766\n17528 78084\n13605 15527\n75912 76060\n5239 67894\n12588 70636\n20113 92048\n29305 43402\n72139 90218\n578 11214\n12779 59262\n37241 88115\n9712 52195\n13038 30573\n20754 48075\n37439 68100\n51845 91795\n33180 40167\n30186 73815\n45071 60443\n40815 51344\n80181 92360\n51564 57022\n6917 42655\n44867 56038\n41639 53786\n47797 61770\n19660 62431\n77603 85081\n32043 58429\n363 74406\n80729 88196\n11790 67677\n33467 43162\n41910 67170\n78537 79612\n763 7869\n34977 47933\n60784 62424\n13741 79229\n20638 30031\n33817 38768\n49077 65061\n3288 76347\n64675 67903\n28105 60120\n41255 92317\n16533 57308\n56936 80636\n4235 34960\n29316 53763\n39006 74014\n10739 83424\n21215 59658\n88778 91318\n38619 76635\n51295 80728\n4081 67337\n21076 43108\n4676 30335\n15695 73465\n28093 75776\n51253 65968\n15814 26292\n29551 68397\n59203 73121\n3524 36978\n9757 82902\n29864 50324\n7496 16582\n71483 83409\n9125 44293\n9808 20292\n33356 62299\n65280 74075\n15095 36302\n57776 83829\n18824 53911\n66123 81395\n13841 64764\n24438 91913\n76761 78008\n10621 16278\n4104 87439\n50118 50370\n30514 68835\n15310 19856\n3745 37090\n22979 47725\n52070 92387\n940 60784\n83097 89576\n19404 37237\n50415 80217\n25187 32732\n45770 90067\n41555 72115\n14231 20470\n7192 70050\n40575 73413\n69307 89439\n63473 76684\n29746 68748\n55772 61312\n44507 58513\n19498 73152\n92448 92594\n27386 80107\n35298 41091\n62228 73416\n28907 45840\n19769 63475\n71627 93026\n24376 32686\n75500 81080\n46502 82658\n26962 79847\n8908 45367\n64668 81268\n40901 42087\n38353 83661\n6926 68973\n53349 73881\n36357 78604\n71253 92206\n4721 34912\n30896 48969\n43642 64372\n54517 86303\n56634 87135\n22679 81419\n62532 90254\n17863 77738\n23313 68643\n37783 85455\n24588 62950\n79148 83646\n9384 89194\n7360 62608\n30447 83668\n63856 86731\n33622 51989\n30558 33933\n22255 51240\n49375 54256\n15726 82686\n48572 50682\n12971 85474\n18140 87812\n34956 78210\n3097 50208\n5625 73527\n35269 91806\n60616 81268\n65146 85487\n51709 85081\n61301 91218\n1299 69815\n22324 22611\n55894 61638\n49324 55160\n32630 91069\n5934 61835\n22980 40954\n56320 67586\n13455 92701\n32290 81346\n26075 90156\n41829 45820\n53866 56879\n32911 71764\n51545 80898\n39102 52434\n19734 67091\n31445 60793\n11267 32950\n20291 50245\n51913 54159\n3557 43738\n44021 50364\n9419 38798\n49405 54768\n51 88295\n9624 33536\n17888 76003\n25693 71642\n22090 49164\n85034 85706\n48958 54299\n29569 90101\n33733 41441\n25658 92166\n6943 23476\n8960 23768\n55600 72114\n46780 57173\n17027 92247\n66075 70407\n42875 56871\n44347 74237\n51306 59068\n2485 39159\n8128 62218\n42291 72550\n1567 81623\n17233 24136\n32214 65387\n22561 70620\n8884 9101\n25923 34784\n14765 64346\n5610 41867\n3854 50331\n28901 29849\n12503 69959\n69148 69913\n63423 79357\n4087 60760\n604 16743\n13327 39503\n62604 90467\n17596 28135\n1487 39698\n14612 73550\n65178 86140\n48838 72528\n40557 41322\n5441 49915\n36188 49556\n23113 82319\n30133 63240\n26574 81945\n42637 66783\n75614 82524\n8902 55474\n50033 69375\n36876 48481\n65453 76672\n37094 49806\n19589 92976\n19079 57762\n59815 63291\n27668 37294\n6382 46358\n36872 63703\n39273 61426\n74425 80580\n1943 30752\n54307 63873\n28025 34176\n17401 36807\n40221 62638\n4645 41778\n26220 26769\n10682 13374\n63380 81035\n24399 87880\n33303 37801\n16171 65311\n8790 89778\n22713 27722\n36500 62669\n19224 41795\n38911 64523\n37351 75233\n47684 82348\n45234 80055\n75296 75525\n22177 41034\n11303 57252\n3473 75470\n59267 73331\n7186 45675\n40291 82110\n39426 53128\n48097 77681\n5559 75881\n1210 24782\n79705 80222\n6252 9048\n68451 84766\n17294 57892\n15012 56644\n12681 68778\n61922 77876\n23861 47571\n59810 69246\n52822 67550\n15588 73386\n16951 72854\n11357 66146\n12134 91340\n3909 89071\n11124 55287\n73383 80881\n48473 61350\n16762 33855\n41879 84085\n3931 56808\n33929 77993\n72940 91170\n55238 65406\n30415 68774\n16429 33553\n25226 82830\n65819 75823\n41029 73673\n67593 78359\n33021 36844\n3652 87181\n70126 73587\n6314 44152\n39529 41989\n71458 91314\n5396 84823\n7237 35511\n53214 74770\n44939 48705\n58266 62501\n23290 74129\n55005 92828\n38574 71941\n46824 72406\n13965 79451\n41332 93025\n23683 27991\n6912 44128\n63941 85619\n49406 73442\n29927 67645\n13774 29332\n65838 70462\n68733 77403\n44189 45253\n12785 15127\n60399 63917\n48689 85518\n20048 31392\n72560 79582\n58097 85270\n49515 68917\n840 51692\n42579 86604\n2793 6211\n48678 66861\n3682 30175\n20949 73253\n11939 12773\n8882 19539\n78931 81880\n61516 82350\n12319 75116\n12295 89125\n58538 83477\n239 81055\n29957 58471\n72567 81853\n7395 33383\n30100 69355\n14043 71978\n20801 37736\n20389 46409\n24124 55349\n25045 60274\n33801 45813\n33841 92432\n12034 81239\n30157 92640\n23596 50851\n2139 70213\n10986 24386\n56604 71359\n8021 87701\n50493 78534\n47567 85035\n80917 90413\n85436 88964\n3317 87176\n4564 15321\n19030 24221\n36947 86906\n2302 64893\n6686 35028\n4282 21723\n19634 35157\n1622 85694\n2131 42569\n65499 85533\n54461 89132\n71509 90791\n27077 92654\n44994 86012\n63174 64076\n27769 77464\n2034 70331\n24652 86512\n22390 83036\n58652 73949\n42305 57106\n53618 74003\n50552 67196\n21290 41221\n71576 90542\n39744 83594\n79476 90814\n285 44816\n1466 49185\n27473 38778\n72515 74846\n28514 55065\n19172 57536\n46170 62003\n15406 30130\n17183 42022\n71141 91247\n6105 51784\n50338 84495\n36943 38858\n15282 76998\n34542 37178\n24494 76836\n22606 40597\n4112 12924\n18375 63626\n44038 86716\n1431 27630\n38220 81866\n35722 42184\n30016 41724\n36755 68958\n24869 62727\n14670 41538\n14934 35161\n31170 92302\n24371 40853\n39646 60304\n54491 71505\n17972 73830\n9560 89324\n1848 36055\n63781 80234\n68751 90412\n76514 91164\n65915 76671\n17306 76401\n65950 72002\n15794 29098\n50357 63811\n6766 65638\n52182 59867\n50715 75132\n6022 77890\n36865 84030\n70559 82884\n14162 68238\n4585 85888\n6786 28845\n986 65195\n48004 89210\n19215 31367\n29787 58937\n14681 71974\n49231 58895\n23818 32823\n4987 88057\n38875 58327\n54121 84747\n26246 78227\n33042 83572\n16323 64169\n45628 75210\n25646 56360\n14245 32388\n9196 38500\n75833 92468\n8981 9746\n2530 6515\n1422 59382\n3487 5460\n48540 82654\n26383 79135\n51376 88821\n12499 80019\n13358 15202\n10595 47715\n28130 35357\n11788 65315\n11364 63567\n56301 67035\n42920 86182\n33888 85190\n9444 91228\n11883 21363\n3105 11347\n6456 34732\n16496 53979\n35617 65493\n13193 16936\n38175 60960\n39542 87205\n36159 91597\n6866 26641\n11684 13514\n39727 70301\n54323 86333\n14781 72461\n18463 42190\n4394 15133\n20067 64387\n8775 36641\n35703 46928\n15364 49795\n48119 80100\n10585 58055\n7192 81155\n17869 75518\n77433 87323\n28736 37913\n3605 41377\n7510 86078\n56878 76748\n2900 82703\n32063 50631\n1997 86973\n77266 85699\n5797 27666\n45255 66569\n50284 50732\n14256 23640\n34808 84141\n19570 58661\n9564 38816\n50409 64192\n9542 20985\n16149 37756\n43189 92739\n58770 82730\n78677 85493\n31366 77538\n31039 40575\n25520 57105\n14615 68277\n32770 51078\n7840 44680\n55495 59546\n5879 23255\n63519 78658\n35489 63934\n37217 91363\n13785 45617\n13831 45279\n32846 90616\n66081 76331\n45184 48165\n677 34155\n53173 89376\n30879 35580\n43203 77073\n16822 66606\n88671 89357\n28256 74580\n42031 59466\n45893 63698\n41806 54389\n7891 67071\n48660 49472\n19994 31674\n7482 83575\n21124 40589\n2465 79138\n56102 65620\n1700 44550\n42441 69621\n2671 78254\n24628 69220\n73553 93059\n21286 72195\n29685 88031\n15943 32024\n78046 80530\n19219 24772\n28445 33489\n8097 48865\n14767 78033\n183 68807\n15980 38983\n9896 90951\n62266 86752\n48425 52295\n6498 28270\n11418 30993\n63991 83657\n45448 72735\n14885 69959\n8237 67010\n87670 88231\n43067 51478\n10723 65351\n9699 59360\n14829 25783\n3696 65560\n23480 37707\n12435 77778\n3469 12888\n69267 85841\n24869 58464\n69453 77107\n50707 68952\n18694 75798\n18341 77528\n59345 72121\n28014 73448\n2661 3157\n61815 84150\n5103 92322\n18143 70321\n59811 72424\n12456 60189\n247 38167\n34760 70936\n49377 74782\n49950 58643\n91066 92524\n2624 91005\n25332 57625\n16043 70151\n29653 69593\n42649 48545\n31772 77969\n21280 80178\n15159 16098\n47200 51938\n7088 22435\n67955 89134\n37916 70439\n28904 59505\n103 17235\n43951 85153\n51439 51944\n19666 60666\n70912 73096\n56030 65958\n52286 90044\n38710 80738\n45799 53256\n34877 37211\n4617 91132\n25359 26585\n12553 19991\n16799 71047\n53992 57847\n8123 81382\n491 67612\n32404 63131\n20955 61343\n29103 66806\n27670 45416\n73568 86530\n50164 74340\n56622 81449\n34203 42367\n36197 87774\n20610 46739\n11426 20219\n2158 6790\n1244 4119\n17662 47526\n4616 35555\n78372 81921\n58110 58581\n1750 49548\n6202 87166\n66924 90137\n13317 70456\n42100 58419\n71747 77567\n12653 54127\n37675 59487\n66706 67915\n28647 46750\n44522 75678\n4430 50063\n56433 74052\n79888 90571\n52666 68789\n17412 17430\n71080 81360\n14410 27710\n16800 29391\n41705 84796\n50915 65880\n32778 37324\n28732 29871\n25232 32288\n6649 79401\n2499 59587\n27896 35507\n23877 75473\n3979 10773\n54236 59544\n35267 92009\n17919 84951\n50472 63425\n37698 81708\n27494 53347\n40173 70280\n46272 56584\n49018 49197\n40967 67267\n65681 70147\n6715 10258\n54229 57456\n29121 58656\n29376 34284\n69289 72426\n63354 85540\n23494 32617\n42661 78947\n39438 75522\n13042 31358\n20210 37307\n7972 82231\n32701 89518\n10743 25479\n31873 67554\n30073 50132\n40918 90998\n13950 59037\n6254 30762\n6890 63310\n19880 27330\n26630 87890\n56519 67324\n45364 88023\n9382 38911\n63327 73024\n24338 27201\n36124 77330\n39377 85021\n38921 46142\n6822 60027\n46617 64034\n12110 21237\n71641 85989\n3271 75540\n30927 36976\n66185 79092\n13158 40457\n2295 68512\n11690 91036\n42458 84928\n67903 80620\n66036 86009\n7060 10964\n15439 69680\n29460 60727\n3330 43056\n75758 81687\n21719 69315\n50770 74218\n27973 53929\n25775 69028\n76796 81398\n20102 65860\n36525 47944\n71568 76858\n52200 69930\n52226 87157\n22966 60536\n60838 61484\n41173 45883\n24760 46276\n13677 28187\n42447 45219\n34549 38018\n72829 81286\n27979 83310\n14487 32330\n13907 43318\n4917 28836\n27963 85821\n77210 88487\n63309 91687\n38004 46740\n72509 88338\n350 6008\n61786 85487\n67404 85256\n49305 55221\n66643 74866\n43737 66653\n58520 61305\n40821 42741\n38831 90518\n8783 41380\n24603 33774\n13495 21829\n23892 71677\n82935 88701\n23680 67210\n21087 42113\n55927 81028\n3923 26828\n26124 74195\n61539 71028\n43501 91699\n2916 36779\n80871 85349\n25316 27791\n20889 72788\n51405 55378\n34186 88286\n54062 66633\n69474 77695\n12752 54512\n7617 41268\n8832 78558\n18366 40743\n11638 81392\n43234 88156\n16964 65709\n8912 89798\n56543 88031\n29150 54773\n46506 72666\n10516 92057\n19862 53299\n6885 36266\n27182 31785\n23911 82472\n10730 17283\n37061 44760\n68009 72670\n22683 40906\n33775 55293\n23047 78177\n3796 28886\n20539 59645\n11415 39307\n32591 80441\n57349 78054\n68940 85553\n49097 50668\n24633 60300\n92384 93163\n3735 65204\n37858 38800\n27100 78064\n5098 79882\n40875 79834\n20967 67066\n58032 91896\n26324 39373\n41650 43943\n49276 64181\n50707 70494\n49969 65579\n26968 66675\n6278 79979\n23264 40512\n22084 74711\n16660 52356\n40266 83919\n52689 70643\n4638 8428\n17396 37817\n42510 43411\n49624 80138\n48720 68187\n65092 83821\n3914 56288\n2031 9047\n636 67720\n60525 66704\n4084 91383\n54718 67632\n1474 12302\n32051 75259\n61779 78986\n25346 53010\n73361 77215\n20546 65392\n29009 50796\n53632 79034\n12229 67030\n10583 35926\n52339 54690\n58387 79398\n2708 16238\n9581 35523\n53300 55689\n49326 50326\n44787 53413\n2041 59562\n46857 63009\n13485 80672\n6994 28096\n17735 81537\n63308 66188\n7062 68642\n37033 46509\n39198 49642\n55881 91889\n12435 88833\n74993 92399\n62907 67345\n8962 16757\n26554 83029\n50812 54167\n44488 91959\n48145 84430\n49499 93108\n40539 62496\n13520 88317\n60703 84069\n3498 36373\n6610 47795\n2901 86354\n6739 33400\n27133 83030\n4614 69753\n16082 27951\n6898 87473\n21897 27641\n69833 85236\n42912 66886\n12043 62068\n78872 84598\n41464 57575\n20167 61439\n36723 76670\n7119 49072\n42491 44430\n65420 82423\n19670 28439\n21739 80257\n37721 52427\n12836 37514\n7939 12331\n38852 59305\n40359 61346\n34055 53030\n34307 51617\n19211 55827\n53596 57972\n55970 84917\n32527 67547\n35330 53913\n57201 60699\n17927 64308\n60382 91022\n44467 54010\n5027 83293\n4052 13944\n43651 70569\n15294 16573\n29449 74816\n14726 67226\n134 50127\n38139 89943\n19958 37034\n14312 62778\n15035 89863\n71258 77667\n86437 92587\n71650 71865\n33229 66856\n71474 86681\n38153 69485\n7669 76972\n35921 78445\n37333 63246\n4837 75159\n21130 90922\n8873 92687\n3558 66515\n6805 66275\n53187 73207\n17647 92476\n7685 44466\n75658 88742\n9213 21467\n9703 61390\n28959 63797\n30528 81466\n58286 75236\n19267 89329\n27381 71342\n3989 64116\n74023 89334\n26186 47242\n43813 72186\n61176 80641\n15816 79068\n43324 56384\n10960 56843\n13342 67885\n23320 67018\n21948 29297\n1102 19104\n42530 92619\n35058 70993\n30986 61734\n22284 89995\n34000 85586\n12367 45838\n27832 55355\n11982 67985\n36234 50626\n57937 68562\n1 74669\n22538 53787\n52339 58796\n53792 57095\n13575 49003\n47552 62718\n17473 23037\n388 30645\n52722 65779\n15071 15880\n78982 92742\n14107 24389\n10063 70129\n3034 13698\n46614 66520\n12682 27291\n41166 54754\n7207 35836\n38062 64376\n31733 50816\n46154 50258\n17417 87769\n19343 67713\n49280 75297\n5388 77847\n3434 8774\n26325 35157\n34002 54951\n10702 34384\n6517 69732\n1620 93022\n23047 81315\n13245 38744\n560 13205\n33485 69883\n37110 74991\n58779 63511\n41603 44216\n4110 65871\n17729 39264\n3655 56993\n1497 5690\n4888 58186\n10422 10575\n76981 79564\n21589 29720\n8758 63944\n24816 54714\n5164 15377\n21921 67312\n68811 85951\n56326 89981\n32676 69936\n68119 93168\n38975 59918\n4809 74857\n6244 57964\n47635 83646\n9267 80920\n11962 53093\n18877 37409\n41493 66969\n32831 49150\n13342 87150\n17045 71972\n11310 79692\n47926 51551\n17496 52568\n12921 21814\n4121 80164\n7697 30324\n3530 84790\n12456 40417\n22464 80226\n29215 53431\n68871 84563\n5108 61034\n20630 47277\n29603 64540\n33320 43587\n25355 46203\n38363 46575\n6176 89692\n46851 92088\n10438 73363\n25643 38343\n11792 65460\n312 29182\n7662 32152\n4309 50699\n80847 89423\n2843 8929\n26189 63961\n64091 76089\n20128 59481\n19184 75200\n7172 25326\n4687 37064\n9414 56477\n20453 50113\n48138 84432\n21262 25096\n59369 86937\n9843 83734\n55905 65095\n52198 66512\n19286 44393\n10699 26722\n68498 78937\n31522 53985\n47582 88259\n33985 69954\n687 76935\n2723 33154\n44999 57672\n9096 57081\n16094 25850\n782 80497\n29146 81171\n46821 89230\n18230 36756\n61734 82586\n16216 34142\n38301 39961\n25406 33742\n78443 81311\n26608 35278\n49233 56145\n2483 42719\n19925 64552\n49763 88459\n4116 55362\n49028 61781\n10811 17222\n24865 39176\n24765 72549\n57726 80040\n58360 62124\n50730 91930\n30480 57654\n29943 76104\n33444 38639\n23503 42200\n13361 55946\n21153 90460\n61888 78229\n12628 84741\n27031 72552\n6859 50849\n41721 89615\n2778 59818\n52810 76812\n25846 78192\n19007 62530\n44481 81350\n12413 51432\n12606 68388\n14633 74635\n62512 64617\n53006 56107\n29100 69884\n2492 51517\n4299 12344\n8523 25935\n45011 48427\n50365 79152\n82584 82914\n33252 68264\n38536 77811\n608 4261\n7930 51238\n65722 78871\n51607 63290\n14349 69520\n29703 69740\n49327 58589\n3912 60469\n19347 93048\n49466 81712\n42049 88481\n6532 89892\n30925 55390\n2496 22242\n5711 85851\n24319 92920\n35749 73154\n7180 39503\n16815 56238\n5790 75076\n35083 62283\n12918 92168\n19663 76271\n20098 23129\n27655 68334\n47177 92191\n87675 90524\n57494 79176\n31022 53793\n5142 13329\n7466 53479\n35729 71479\n57483 90781\n14259 46410\n15327 62964\n1874 22406\n24205 42645\n42507 67294\n3341 74660\n41949 46557\n55026 89782\n77240 77455\n30906 46219\n1302 44930\n40003 65267\n19290 23082\n13918 90116\n4627 22150\n10839 11144\n86798 87231\n16148 47681\n88375 91819\n14827 74961\n5077 8487\n43486 72669\n13602 72937\n9936 69383\n18471 50970\n60051 74121\n4184 73313\n26758 58504\n60058 83673\n51364 69141\n61069 65728\n5550 11928\n29458 55664\n14008 29641\n35291 43422\n4003 26474\n1011 18546\n5972 78722\n19547 65697\n34901 47226\n22505 40497\n48302 55053\n40321 50138\n67791 82299\n4184 93084\n27344 77733\n14013 43323\n20452 44284\n23117 84839\n58068 91706\n43854 74659\n2523 44889\n46200 89298\n2285 28707\n13171 46030\n16705 18991\n15234 55618\n70024 90966\n38090 92639\n4168 34713\n66959 89321\n10469 13760\n27005 42572\n41806 64922\n6347 32076\n54443 60789\n68893 70818\n24927 35169\n4513 91137\n15602 21512\n46210 78424\n41836 61708\n6489 82695\n4900 31501\n18239 22766\n39682 82231\n53040 79231\n15945 52645\n3525 53841\n45818 60026\n68322 75817\n73113 82650\n21412 29775\n41650 73730\n47329 89748\n28974 34112\n16009 34096\n38685 92616\n58064 90333\n703 31837\n52300 70583\n42050 44752\n33422 78182\n63821 69614\n35409 75983\n15783 17365\n76538 76724\n8209 78064\n1182 34238\n40579 81967\n21178 51472\n53158 60490\n18839 61067\n36889 69174\n73028 91228\n40518 46880\n3954 53446\n45721 79836\n22939 33265\n65765 76924\n27039 75004\n26918 77595\n173 32793\n21775 51685\n8898 16315\n34459 87378\n44461 71675\n10726 86232\n35067 70261\n75730 75978\n31238 43714\n7683 66377\n23546 35299\n23823 81711\n45732 63874\n20351 90883\n20500 89472\n67258 80259\n45306 61870\n48107 65878\n61686 62762\n37343 82878\n50371 59854\n2118 52980\n63978 88609\n5679 33963\n4898 5480\n23111 83463\n9993 61971\n53872 93171\n68089 75755\n45803 49012\n49251 58216\n55094 56907\n18986 28613\n57243 58868\n18139 39727\n1690 39807\n26003 50920\n38002 40649\n26713 66165\n31748 79978\n58161 82338\n77300 91401\n4510 77793\n79503 88017\n23515 34755\n60958 79037\n36758 40822\n21676 22719\n29864 51282\n21603 89690\n42261 85628\n22576 55783\n44457 58840\n27510 54720\n19926 34937\n13139 67448\n32760 91180\n32699 92668\n74892 91386\n62652 63027\n34643 54083\n33841 79490\n28455 55867\n34146 63345\n6514 45282\n40977 91976\n24284 79135\n44827 61558\n28065 63339\n49358 53333\n31856 70258\n12907 69265\n5506 11438\n14561 32148\n13779 40361\n309 30458\n71241 81996\n75102 89896\n42728 45952\n7402 81078\n34943 69786\n53564 88109\n50809 55850\n154 61045\n53067 54237\n57626 82022\n896 10186\n18513 39325\n58663 73880\n10517 15967\n26900 45551\n27609 69822\n13899 30032\n61051 75381\n16395 56869\n29376 41485\n25411 45728\n18608 72913\n39726 91188\n17217 39583\n58105 80952\n60979 64070\n36458 46194\n19917 35397\n2065 18320\n10733 30105\n17124 36561\n34602 87567\n42098 53413\n17032 48053\n59496 89320\n21376 53672\n18532 43882\n28151 63620\n23219 70732\n9371 77365\n29258 37227\n48152 72730\n44911 61915\n34525 43789\n17061 45487\n21226 30762\n80397 92550\n12878 60308\n18936 90958\n331 40859\n83406 89668\n16656 56030\n11987 72601\n9192 44339\n16874 65176\n7238 8663\n8347 28464\n6640 22892\n63590 83956\n18222 38216\n15445 42921\n38497 38875\n38717 63363\n8663 59421\n39994 75062\n21668 27963\n88979 91933\n31824 42484\n45 90309\n82111 85126\n32439 91074\n10824 56541\n3980 18787\n19063 43700\n58656 86191\n37717 53932\n59554 66774\n45333 88587\n30124 90617\n36655 43360\n33304 41757\n10491 89690\n31008 56009\n22125 93128\n79093 89226\n84010 91029\n15337 67209\n19213 61127\n31505 63002\n35812 38276\n18478 78450\n34446 39344\n17831 82337\n10994 30228\n53951 74422\n11036 62349\n55498 90307\n39686 72002\n69678 91025\n15187 41728\n4316 92085\n16657 57751\n49013 61978\n41611 90673\n74848 82692\n849 19296\n78671 88481\n2132 41332\n43396 55734\n43037 91771\n39482 84244\n27040 69000\n36864 46817\n33641 68349\n9756 79509\n49303 68124\n1 5303\n6787 41804\n12992 24145\n733 55918\n27887 90361\n66974 82546\n81611 86362\n59407 92545\n35616 50100\n76704 77161\n47639 87722\n27723 75738\n12092 47785\n5484 60170\n19195 73120\n11068 46309\n25207 45339\n25203 62839\n9869 32605\n10715 30750\n3274 15117\n74935 78241\n37934 92190\n5960 23098\n25004 44316\n13 92378\n26370 49196\n86696 88422\n28469 78638\n5840 32542\n43068 82777\n34796 47277\n71077 74923\n51599 81951\n35701 51598\n1962 54153\n8749 17886\n17143 67633\n60362 68342\n42562 74213\n36210 89224\n252 35346\n32373 53278\n17889 83078\n3281 29679\n42488 48992\n9954 17694\n44264 51348\n7968 15874\n47438 59727\n10135 82238\n1400 14015\n31621 66991\n30679 92593\n43763 91711\n13971 69978\n46471 76540\n4862 66465\n41578 43572\n69526 71598\n13795 83263\n54284 55960\n39248 73273\n21300 74267\n22560 69775\n23125 74068\n9401 88067\n3974 15157\n10293 40268\n5508 70335\n46732 51989\n77580 86422\n89909 90553\n9664 79362\n87431 91174\n6306 20065\n30291 48234\n10784 78363\n1054 49837\n55670 64262\n5413 83444\n24461 49390\n24769 88349\n38964 67671\n29854 65736\n16304 65077\n65879 78402\n13606 93110\n10055 66734\n42117 89328\n53425 62676\n23915 70997\n53225 81526\n74027 83399\n47087 65950\n56084 69398\n61978 73308\n7012 34559\n11020 64109\n12421 84365\n121 58094\n58044 72106\n40720 46137\n26731 73073\n796 32537\n11928 70940\n81888 88295\n21686 51249\n28325 89672\n475 84718\n5027 73191\n52711 56691\n39601 53144\n30009 81634\n19470 56278\n29098 84506\n15054 79241\n48970 74636\n66676 73172\n14631 43617\n11716 21117\n2637 6908\n55823 85254\n69446 90566\n67853 86076\n73557 87422\n44499 49122\n18757 25466\n11522 62649\n54645 83805\n29383 81018\n17326 29038\n20184 87035\n23629 90210\n14629 80253\n19436 22506\n40615 56721\n50550 68547\n12610 77021\n29462 68878\n259 11551\n10729 19227\n17263 68292\n9205 86731\n14597 71253\n27070 55014\n5298 60339\n55746 78594\n36550 85420\n65776 67104\n15617 30971\n2165 66448\n8441 85511\n17643 30278\n30251 64945\n62894 90064\n66267 78176\n26944 68785\n23380 57792\n45048 49738\n32901 44642\n66372 76150\n9117 15452\n47842 57171\n67718 73273\n28878 68125\n5855 49020\n11272 43759\n25552 68463\n74305 82933\n67808 89309\n18535 92771\n10781 65701\n35494 44797\n26506 58003\n30280 55057\n29353 66108\n26198 64198\n64404 79537\n63334 80815\n28619 52834\n42981 79106\n14280 89355\n25986 59640\n3998 16830\n16605 59171\n49823 81076\n1240 44464\n15894 80273\n4680 27979\n36930 49611\n21680 61726\n36967 57102\n20394 64224\n57756 92154\n7232 64513\n7888 62710\n51761 65885\n12220 62601\n68019 89493\n20026 70109\n16282 22772\n21406 51812\n78605 92514\n378 61266\n26556 81882\n31044 75302\n5756 62971\n14531 45288\n27656 36500\n1686 66646\n49846 71706\n50215 90717\n37521 88834\n14070 19252\n62363 66299\n2564 44155\n20730 39626\n22138 56072\n7231 54937\n40911 76069\n9376 67905\n7725 89226\n77377 78144\n35532 78943\n1741 1811\n13896 30212\n8329 91490\n18047 80663\n66696 87844\n32190 74546\n47087 83265\n49319 63692\n49412 73058\n29030 81378\n29884 58698\n72923 76841\n30496 92807\n51407 66488\n79017 84315\n70141 85000\n22260 89206\n42033 81663\n42789 48115\n35517 59915\n3488 74553\n78112 82023\n23439 81379\n27984 65574\n31648 42971\n66514 92543\n70514 71624\n1154 52598\n43114 86623\n54592 63822\n3627 74991\n43975 69141\n18351 62175\n36761 79146\n25732 77475\n27395 64785\n49818 83419\n49477 83849\n61104 82351\n23063 63443\n49324 91732\n63006 78236\n79036 79426\n61495 87284\n20336 21800\n60827 71831\n10753 91393\n13484 73499\n49715 78943\n27706 54828\n18682 30070\n14965 29559\n39540 82446\n66054 91881\n55090 66815\n22160 43050\n29695 66587\n28970 91032\n10562 62260\n31642 73662\n19215 38439\n40947 73440\n34378 77307\n1889 75401\n7496 54640\n57474 78396\n13400 28200\n16915 85364\n24443 65192\n1805 34803\n8289 21008\n28887 77823\n23605 85329\n52709 92829\n3222 32314\n19367 80065\n41920 68479\n33715 93088\n813 78346\n35262 63291\n57870 77519\n16 9786\n20860 71605\n23252 69011\n22798 75098\n7394 45768\n67642 92564\n4684 18938\n62273 80368\n14751 51568\n39390 61308\n6817 72166\n85617 91763\n40314 67848\n6369 37235\n617 43360\n5910 73513\n64216 77905\n82295 86925\n32869 69250\n31971 38487\n40798 81373\n22211 74453\n17486 66245\n50609 54383\n2357 67649\n1103 70188\n44593 87930\n19795 62664\n68643 73399\n41699 82332\n22501 36882\n56345 63082\n7915 60853\n59983 91817\n66121 81868\n19379 19688\n31330 56724\n55115 56751\n3408 75110\n5719 17066\n24430 65440\n55660 76147\n1392 36535\n57248 82181\n65387 70668\n24452 52799\n57984 65992\n48814 81528\n13244 77050\n34933 67021\n7014 74230\n26391 90166\n34324 65847\n75506 83934\n31296 41920\n31410 40897\n22169 22425\n11873 49753\n37505 68958\n39655 71107\n47071 47400\n2981 54492\n6044 11091\n3279 78378\n57295 79314\n15603 40014\n34653 48604\n32227 56866\n56733 78399\n33643 47698\n22622 75140\n14600 28791\n23418 36399\n29824 30858\n40927 48321\n56540 87036\n17849 56431\n70884 85541\n67584 87564\n61282 83466\n41075 73001\n19167 39199\n5229 18969\n39216 92469\n62519 66040\n7147 49011\n62312 89746\n4222 46458\n37973 92974\n48196 75506\n15034 75920\n7805 83486\n78111 80840\n24147 49747\n9457 85263\n45816 88449\n3038 80335\n41491 46215\n43310 60413\n286 10877\n703 66794\n23232 48779\n64134 84989\n24318 30887\n35699 36931\n46922 52731\n36844 65394\n9198 43696\n6271 19779\n29801 76519\n1129 56649\n39339 87507\n62191 78958\n24127 58161\n40360 78919\n63744 80082\n26430 78751\n67451 68463\n33295 78886\n28107 31014\n12009 20298\n41301 77371\n10137 78537\n23429 65807\n4037 49727\n18267 64200\n21855 72380\n43676 47952\n21274 93036\n30829 84497\n35160 52703\n31846 32965\n1487 9314\n2090 36897\n51697 58944\n34982 83368\n36706 73818\n31110 92681\n4432 72565\n30573 66527\n56373 81237\n7443 91834\n8686 77622\n545 41750\n22738 91705\n18290 91683\n19011 20005\n24766 74045\n4087 41635\n43159 55741\n17561 46993\n49735 83371\n27082 60860\n13408 84418\n79383 92769\n46400 73751\n29765 41124\n91130 91819\n18644 31672\n80503 83486\n24168 64708\n43748 50824\n25736 76955\n18694 74746\n52951 72544\n60120 73082\n18011 89216\n4362 38912\n44525 65738\n25239 71641\n16541 32718\n47158 68707\n11778 40380\n2200 79042\n28337 53978\n16702 45526\n36772 55127\n5668 17146\n25410 65467\n1748 48446\n50313 62504\n4790 22035\n5950 56746\n72665 89568\n51725 66870\n11522 55484\n47574 86051\n8112 27028\n8846 41721\n37957 73952\n29191 44636\n20416 42208\n49365 59188\n27967 82773\n62164 75856\n34179 67744\n11896 78250\n2222 84515\n79117 85473\n20698 40980\n12532 53321\n2237 45791\n8366 75596\n27340 42719\n14474 20697\n5276 40866\n15659 22326\n5926 80022\n40711 41937\n54698 55730\n21269 37228\n61334 68199\n73993 91033\n31988 90369\n58001 72753\n7209 48688\n37564 82942\n77040 91916\n1457 85778\n1973 75497\n3415 77416\n16622 72598\n14601 26187\n18517 68159\n55216 62358\n27028 82060\n25595 59330\n4593 14057\n1129 3226\n16713 78866\n68794 78410\n4320 53736\n34546 67701\n13242 70210\n8447 47915\n52658 56436\n62021 83262\n60609 62452\n60646 88926\n65473 70894\n80788 86645\n29940 41514\n86593 90416\n45100 74648\n17863 19509\n23137 40825\n6987 60520\n29222 41108\n33871 74877\n10380 82348\n61175 87737\n29108 88228\n2818 35645\n72644 92889\n28612 61777\n6805 52865\n27866 56892\n13273 30612\n32414 35569\n40111 49331\n1426 8910\n15642 44674\n76648 83433\n1668 85723\n2059 85201\n6387 70937\n14295 53842\n20591 68826\n21586 34414\n50747 91134\n29518 64586\n15331 56024\n45516 63486\n16904 40402\n13643 29245\n68990 74816\n11027 32498\n63277 80829\n12924 50713\n32637 37603\n77718 84952\n5983 89973\n5708 86630\n61823 68665\n22549 48468\n34804 75862\n48242 72327\n26245 33830\n26987 80029\n59172 67161\n20367 28594\n29698 87728\n22008 70642\n4374 81450\n976 74701\n69221 82303\n3686 76210\n30829 44807\n7541 71316\n40410 44179\n3640 72389\n15619 70561\n6890 45325\n7273 88066\n66138 80507\n29225 62445\n6486 28320\n54878 81044\n48033 60379\n4963 51181\n21479 72984\n5102 35462\n19820 35696\n46332 63362\n14555 90442\n22572 79291\n81607 89747\n61932 89216\n13844 90941\n10956 55627\n27363 32092\n5831 23749\n30756 64225\n20364 49486\n22110 57384\n13780 65633\n51562 74747\n295 53648\n21854 47209\n12343 81660\n3182 71484\n3243 37553\n70831 72430\n18806 48388\n44983 46056\n4193 76917\n1026 29378\n13109 42182\n20164 25614\n51775 58047\n49137 76407\n10019 32382\n10769 34940\n74717 81311\n13456 56357\n34304 78793\n21658 92657\n2769 7517\n51977 89670\n59935 83451\n53920 64546\n54216 81904\n7653 30533\n43162 60730\n42103 80851\n68234 84142\n15298 68574\n14188 76874\n2608 44535\n8615 26457\n40732 47695\n40220 69047\n3110 45277\n14469 89923\n8983 43866\n19731 65665\n17901 36834\n12689 79679\n3802 14818\n37224 54045\n9597 11621\n41261 74953\n31 64708\n88528 90584\n18196 24673\n21289 44298\n36406 36636\n64692 68256\n3250 40839\n41281 53682\n21477 37914\n8178 87262\n9277 81585\n30159 51923\n4625 92932\n21184 22264\n35879 65239\n7466 53027\n1971 10767\n68112 70047\n10104 41153\n25320 91539\n6393 83723\n26225 66838\n441 8791\n43978 57443\n3802 79904\n57293 86129\n1108 91794\n37277 64997\n15042 29989\n40734 85916\n39507 82186\n56747 88309\n19897 29421\n9678 78840\n952 92182\n12742 69784\n8304 16641\n24090 68195\n21205 70462\n817 17911\n26254 49830\n54738 85327\n15287 59112\n28147 82581\n48194 86657\n20259 85197\n15153 22249\n18544 82125\n13573 45838\n37608 60017\n29589 33676\n21971 23366\n37448 92830\n2029 46676\n22096 46792\n37867 67630\n63809 89915\n33406 83007\n59977 84519\n37607 93122\n39614 40774\n26044 57545\n80233 81306\n12428 70443\n9016 55858\n46873 74108\n38632 46676\n12397 36765\n38081 89076\n33313 62893\n33866 39023\n47529 56133\n26443 54987\n31043 62422\n10173 58157\n25626 54418\n54019 62733\n60265 61202\n42545 72883\n15550 82835\n22660 58145\n44437 73816\n49944 50732\n44561 74638\n1300 81428\n23090 90601\n10016 91914\n27056 89337\n54002 72882\n28346 40678\n1672 61147\n982 31672\n44166 66831\n69376 69448\n36951 77384\n56514 86825\n56476 92467\n30930 86135\n76626 90437\n23308 81435\n8488 84343\n74444 86674\n79564 81520\n35542 78475\n85715 90879\n28594 91708\n3870 15154\n18290 30910\n18709 19705\n28982 85954\n43430 50887\n29581 80630\n16087 43487\n14227 46661\n34784 50019\n66070 87759\n5893 41383\n60428 78976\n11 39989\n46878 66405\n34541 34672\n44963 88726\n4530 52758\n18743 91635\n13385 61527\n31307 88485\n13625 54038\n52838 55450\n14804 76105\n9150 65138\n45485 53835\n7003 21791\n43091 56913\n7045 46572\n32258 70725\n31536 44449\n72597 80581\n2114 12938\n34537 52717\n36372 78746\n15521 53960\n67642 75708\n64788 79746\n30341 75988\n43518 57265\n14866 79662\n6356 20052\n47886 90907\n20783 51190\n20985 85120\n26432 47722\n4157 32608\n18567 44626\n7014 38790\n65839 76312\n65227 84372\n59579 80290\n12066 51520\n41159 54960\n7899 71070\n16732 67157\n53265 60969\n21521 52778\n54905 91445\n6583 43230\n63142 66218\n56813 86975\n68905 71205\n59690 88359\n13388 38338\n1342 7933\n28726 76749\n8708 31572\n43921 64874\n59020 69810\n60887 62635\n4915 17780\n71548 89026\n64350 91977\n34584 89635\n82446 87648\n10962 31819\n13995 68246\n50310 78986\n859 70484\n16884 68865\n15203 62727\n4711 44610\n7213 88857\n32036 46663\n54268 61535\n43115 88980\n2665 61772\n8291 54172\n17315 56691\n20304 68359\n23431 61188\n35953 74853\n41676 58620\n28616 70083\n59362 70705\n68727 71901\n14573 33286\n26564 86766\n40058 91106\n13558 82614\n5927 30093\n24377 93078\n10063 49090\n26564 63832\n28462 43244\n24583 45960\n9228 29991\n9164 75653\n55528 85027\n49528 51940\n27307 31723\n38316 82678\n18622 84145\n46193 51128\n64576 65793\n37331 52326\n9704 47721\n29098 37176\n6168 75046\n25300 91894\n12148 33159\n67741 70885\n26818 55015\n48884 63304\n414 30212\n15485 68451\n39079 51562\n11670 82583\n81143 88654\n67342 70384\n11357 15363\n38859 91248\n50418 79245\n34153 50913\n74890 84543\n30605 85322\n51772 84284\n12175 40668\n21151 28937\n24589 75016\n42571 83727\n12668 43300\n7346 11158\n24801 70585\n74570 89212\n22382 60807\n84695 88167\n17221 87381\n26657 82703\n15386 27238\n7064 60067\n10225 16231\n55218 71924\n51916 90007\n42589 77200\n54849 84431\n43299 51327\n70199 73106\n23786 82195\n22078 27258\n55010 55056\n7938 64820\n54895 82911\n84459 89748\n23222 44281\n5339 10588\n44859 79601\n10850 40516\n56531 80813\n6061 32104\n76532 89168\n11798 20690\n35197 70915\n11001 55712\n82925 89962\n4594 40617\n12036 32296\n1359 92879\n59102 72895\n46046 62661\n74271 77403\n16193 64434\n2020 36158\n54701 77415\n45203 66597\n4109 75322\n216 88626\n12730 14883\n26799 81393\n3696 52132\n11918 88615\n60830 88251\n69425 74433\n28337 66417\n5720 18590\n3378 51656\n32269 68764\n12684 63172\n9385 49688\n64432 79876\n77063 80951\n54982 65196\n39491 92990\n18071 36463\n61370 66112\n9636 52054\n60973 61005\n66379 71273\n658 12562\n67642 71721\n67377 92875\n10188 64976\n43141 59499\n38027 52720\n9761 41955\n15562 57100\n20446 56740\n31248 44516\n25938 65643\n22863 49774\n44821 46440\n16985 78895\n20479 33264\n62623 68786\n8058 83963\n42951 50064\n13838 93091\n1733 77986\n17584 56927\n33918 73425\n9451 82681\n13349 24422\n15084 56903\n13536 46494\n54795 87902\n9945 76455\n43411 83490\n20232 34726\n33928 71826\n71422 86173\n6792 69224\n5037 89323\n18410 39608\n19742 84183\n23387 54970\n10815 71783\n71206 82237\n4734 69639\n2854 60282\n5613 86492\n70326 76287\n16697 45680\n55334 80157\n26062 33656\n57714 84828\n64393 67491\n79762 84831\n12635 25355\n26383 67006\n25677 88455\n17195 40500\n70151 77478\n30158 69497\n89418 90719\n86951 92233\n3568 44138\n41002 80996\n34485 53749\n28398 87522\n20169 62891\n31230 69270\n19469 92353\n52233 71537\n9651 20301\n50311 84559\n51057 72632\n33407 88102\n25653 39550\n65376 68025\n2808 25681\n15488 88241\n21218 58198\n12556 15406\n17841 40418\n71265 77607\n65511 92034\n64161 88318\n9292 13853\n61342 73459\n45711 61948\n75196 76174\n4184 56057\n22099 74364\n38721 53947\n5234 28969\n29547 51520\n50482 82987\n60264 67549\n34382 37000\n69243 82907\n53637 71430\n49118 77764\n40937 56286\n41989 79092\n36275 64323\n63430 92409\n9981 70041\n64490 70439\n84331 91618\n76394 84680\n51843 78023\n7449 50255\n31539 62189\n53569 74035\n86676 87820\n82573 91446\n42158 47911\n42885 80744\n26124 54220\n8618 42765\n6360 46965\n3786 49049\n4685 13189\n3684 49731\n15911 50304\n33735 69650\n30345 66905\n9230 47468\n18487 84020\n17551 52704\n13127 45490\n20053 75404\n32328 72105\n43722 59604\n70315 73898\n45081 85046\n7928 90546\n9188 25870\n5221 46094\n6156 45835\n39244 85190\n66246 79214\n42135 70881\n57690 70993\n68611 90564\n41459 55656\n7567 46464\n1148 4872\n57633 77291\n20292 83606\n15931 69279\n27743 28273\n55865 83842\n39084 89092\n19333 83311\n55539 82612\n35109 66633\n15785 43717\n1812 62580\n9846 63367\n38935 91657\n10903 48886\n32361 79555\n81366 89084\n16684 24064\n14471 46947\n15118 87535\n41636 46736\n28454 29634\n44033 85348\n10960 35917\n11791 14991\n20589 37397\n33404 67519\n23395 51798\n53465 70817\n47454 54150\n867 88303\n40466 85710\n17424 72699\n50175 64223\n5432 6363\n34444 44741\n33382 90239\n8822 82151\n26706 48080\n35851 58248\n52912 81833\n37883 73034\n44149 84774\n34817 44362\n51070 57661\n15588 40685\n33677 44975\n43290 90331\n29495 58422\n9980 44253\n20725 27415\n59405 90445\n43097 87503\n23312 73773\n23209 35264\n11754 58380\n18493 18812\n54878 87124\n9181 42033\n52192 88606\n5069 91130\n44724 84500\n12438 36920\n80130 90975\n32900 90634\n25949 83782\n66305 90679\n1192 39948\n7439 14063\n17966 72791\n36844 87563\n29903 66895\n12396 78145\n13043 84920\n14418 22769\n27696 60262\n63016 74491\n2831 59630\n19069 71960\n9347 55826\n21938 92943\n74520 79566\n17679 91621\n4127 16409\n6378 39967\n66369 86526\n37827 92778\n14519 79989\n66627 69338\n43616 71916\n53765 88039\n56358 83427\n4238 43303\n52856 90058\n72458 91563\n41227 73666\n58887 61356\n51807 66281\n2657 55575\n45991 74009\n6252 33370\n4389 36021\n12866 91683\n21531 45187\n25833 89683\n18281 24094\n20864 30536\n9755 38864\n48336 87007\n9151 48762\n37387 52121\n6103 36469\n18253 73012\n14036 46932\n39870 83522\n11254 50789\n17284 27225\n33085 54329\n20846 26273\n43245 86993\n42544 84458\n38780 90557\n24983 61676\n15975 23974\n3550 55689\n22332 88173\n28761 81017\n29101 73131\n83352 90989\n5243 37045\n14260 80553\n75913 83990\n1399 17261\n8559 12869\n1613 27443\n15808 31540\n63723 71603\n64943 80476\n58135 92698\n6952 24050\n5214 65776\n15301 21866\n29030 38875\n12473 25517\n34937 57741\n17405 39163\n52697 73703\n37593 74507\n66766 71656\n41630 74106\n4558 72849\n51663 87994\n24709 37155\n35197 51272\n20453 87982\n34920 85938\n54276 90274\n75481 83586\n3294 7065\n62023 88520\n11876 85526\n11557 43877\n39441 45998\n8736 31144\n8053 8445\n27849 68702\n46881 56699\n7887 42433\n6621 7207\n31467 58388\n29250 35693\n45701 75355\n67699 68545\n67041 80610\n17820 84227\n31824 85820\n40022 56919\n8352 46991\n46908 72893\n5815 58460\n7581 11822\n22698 85723\n19388 62945\n3354 17983\n11221 55094\n28808 58114\n29239 73176\n30315 59653\n22008 64689\n63007 84490\n35480 41713\n45679 79182\n6745 60736\n19853 21226\n18442 48139\n40522 91550\n61701 74011\n46407 92868\n24093 39319\n64614 83254\n72010 85190\n19220 72652\n37232 47658\n4016 32795\n53006 81791\n2108 60232\n23384 70989\n33650 89351\n52412 81781\n12562 59715\n37118 92490\n82252 84418\n44326 89402\n38489 85331\n21031 92785\n44946 70598\n16633 89549\n7608 33761\n2736 19478\n80516 82698\n55042 82726\n11602 28415\n5769 40927\n11342 39674\n1272 46038\n64398 79500\n3082 48886\n8321 68066\n20748 92854\n2268 54951\n47278 60246\n16416 24282\n39617 91761\n33312 83706\n41419 68730\n44396 75958\n23100 65848\n9934 44428\n27059 28629\n68372 69208\n57137 80102\n8137 11119\n7775 51299\n12570 15172\n574 3982\n2399 67005\n3568 15896\n14937 62316\n39680 43715\n6138 36093\n76162 81479\n12020 22709\n32690 47771\n42373 76408\n8129 83540\n24718 76902\n15870 55656\n32700 37490\n11742 73804\n11409 71584\n79333 85842\n18291 31681\n17822 47777\n68977 83693\n6850 67439\n23730 81065\n2261 53251\n42507 57153\n51423 76031\n53896 92429\n59757 90678\n37246 50735\n71903 83365\n20418 81746\n44254 61737\n2397 81872\n28966 83093\n55486 81784\n67432 69196\n22374 72464\n16489 23149\n12465 17271\n38775 67765\n22061 51909\n67498 75189\n32504 35650\n52643 90039\n30549 66401\n43930 62285\n17171 28165\n3633 56731\n32123 88942\n7026 78980\n66641 80649\n61389 63127\n48831 54519\n47549 88618\n44542 53906\n52452 90312\n37236 40742\n17656 74327\n11860 43730\n20911 83842\n25684 92401\n27547 50747\n13503 36231\n2935 35505\n35698 85160\n14066 86973\n37315 86349\n47335 63075\n62399 90595\n69211 81590\n15690 35511\n75576 78719\n49706 56174\n63090 89064\n6954 87391\n38283 59078\n537 15363\n41526 86538\n81998 92618\n31072 46413\n23861 81047\n40952 81777\n44795 72756\n1852 73193\n12191 37581\n74974 87488\n4840 13237\n38086 48801\n5391 66494\n76403 82906\n9681 84673\n66041 81046\n68315 88684\n12036 61459\n25860 86106\n529 45347\n31522 57613\n1125 83302\n52579 78951\n47449 69259\n57 82774\n2873 69387\n26217 34163\n12118 70349\n1450 69074\n49163 86852\n50977 55668\n18069 24520\n39411 42469\n11294 53484\n75371 77176\n20539 28602\n61834 83501\n34149 59288\n15111 88023\n17881 54961\n41903 67899\n50736 76501\n11576 90137\n19995 43207\n2973 72845\n15721 72817\n8223 50736\n60137 90337\n35101 75592\n6030 35308\n14030 74896\n15387 45203\n6045 51431\n4770 85940\n20882 50535\n42609 43526\n13381 28037\n49914 53954\n58874 69719\n3182 40131\n53400 85968\n13302 22197\n71596 72173\n11381 58813\n39453 89516\n7767 76564\n61886 73746\n82861 87292\n50218 83236\n39134 65018\n24074 89968\n54283 68453\n8671 71954\n65528 92825\n20766 43368\n74175 83793\n6090 86807\n50726 53390\n26177 61177\n55372 82193\n36874 47025\n78590 79663\n2450 55355\n18178 47392\n45828 51084\n21105 44140\n73771 83765\n22614 77644\n61026 87073\n73559 90537\n17654 44067\n20476 87706\n4122 4190\n34612 64682\n14139 31580\n22283 68921\n6777 84354\n16856 62893\n13392 30551\n82731 83973\n41052 70514\n42825 81000\n44491 64900\n14041 56184\n40223 66120\n56610 65672\n21227 58839\n400 12216\n79479 93008\n45928 46837\n10157 87521\n53627 67315\n31416 58127\n4293 34735\n36367 43035\n73397 78373\n4460 68058\n4333 8223\n30251 66506\n26597 50435\n12817 54047\n46447 84155\n75017 90139\n34909 73799\n41226 67806\n67336 84449\n57464 57554\n14935 81726\n6241 13456\n1841 60561\n33767 54697\n26980 48948\n42914 90429\n54176 66911\n6593 19623\n17239 23075\n19765 70119\n24817 84345\n43063 64047\n30710 66112\n30132 47798\n80957 91580\n19867 75401\n32939 53793\n1466 12049\n3285 12513\n1958 4114\n39197 89683\n68598 72816\n45146 59707\n41978 70921\n70311 80667\n33204 83837\n37329 64397\n34509 72078\n56610 87275\n48821 72485\n35592 63284\n908 3182\n63993 81210\n76042 92714\n23405 62599\n26519 48101\n58923 85273\n21321 61603\n12950 58354\n25081 29795\n27256 46179\n12571 76609\n50623 66562\n6468 85685\n21666 40720\n15281 21610\n64107 76673\n22136 59311\n25281 72240\n53453 70642\n22000 85103\n3792 38903\n6616 70753\n1931 82386\n4677 91198\n85240 93030\n2128 86965\n23912 63777\n51468 63919\n14306 56081\n72124 88001\n625 70860\n66739 89166\n36756 92393\n55025 70520\n16938 46821\n11084 46259\n609 78973\n71994 75640\n74454 75848\n52170 52992\n12905 46575\n33783 69721\n62924 86130\n50237 89889\n58861 64070\n8610 65324\n6987 34782\n39093 92890\n28887 45488\n2919 87136\n46367 55765\n15146 60556\n39902 55479\n1161 33614\n62698 68836\n19648 52567\n46077 52198\n50235 76003\n21397 77024\n38452 58743\n25966 54455\n34100 42364\n22787 36789\n55161 74928\n9906 60828\n67467 86856\n46244 64465\n28265 51133\n1195 78134\n1702 84028\n67745 92404\n43004 65327\n38731 55747\n64218 89871\n54704 84160\n68076 79365\n46744 65261\n39883 51682\n11599 73114\n1734 14539\n21398 44821\n26779 67047\n158 58213\n17299 37437\n74674 78244\n37267 76420\n34909 39179\n51702 83562\n6983 87813\n84775 86781\n30167 47175\n10117 56366\n58018 61616\n23836 30127\n52012 63893\n32180 87633\n74913 83239\n12198 55805\n39694 59821\n19861 23662\n716 58330\n18096 39820\n50825 66325\n6242 86408\n24568 45833\n38460 79887\n52557 78029\n27601 48190\n8405 54626\n54996 77133\n37501 81470\n7910 74718\n70760 87029\n6511 31819\n4972 5750\n29625 86619\n24132 26619\n16164 46925\n56888 68247\n30687 80314\n6612 55620\n73524 92140\n68187 90619\n43571 57770\n20834 63458\n26791 37116\n24020 36546\n19019 38243\n13474 48465\n24564 52242\n15116 39407\n43213 52150\n77208 79009\n27400 91185\n69475 76283\n54040 60249\n17818 38171\n32425 83370\n41725 71751\n23623 77937\n51023 60282\n21234 23353\n9452 40927\n11426 20380\n15681 68026\n223 33419\n9740 90679\n14598 26382\n56751 80326\n1419 16384\n42069 71900\n23529 57357\n47863 79579\n31537 68744\n10905 59196\n3731 37913\n5973 63988\n39414 78765\n3034 73851\n24616 28369\n66452 88466\n8240 28712\n6215 60913\n7557 27797\n2521 32855\n61320 66205\n77368 84307\n40511 46821\n11759 82579\n7744 78203\n30603 42561\n26183 42399\n19152 77012\n19031 57992\n26325 33175\n18825 89328\n34690 46583\n33300 74839\n3236 8356\n26442 72756\n12006 46418\n58248 80213\n70133 88166\n13015 31162\n35003 79945\n4565 82348\n51305 56031\n76966 85174\n34960 58528\n6803 59426\n4695 16427\n59217 64980\n7467 62584\n12993 31106\n37252 86066\n72964 81274\n18994 21606\n9613 43487\n35309 75992\n2550 23328\n11695 55767\n3891 30668\n64017 79424\n46591 76942\n32885 65158\n13096 49281\n15444 27247\n41499 47135\n39261 55763\n71933 75310\n697 15373\n67185 84654\n30900 67670\n35890 46823\n28041 68012\n7533 63196\n12600 82076\n17032 59074\n55975 81753\n29823 65428\n29620 48275\n28344 41712\n28981 84366\n58944 77206\n74184 88800\n47282 77099\n50740 85162\n22212 35266\n5042 8489\n8609 11130\n26849 56770\n55011 72524\n8824 39714\n497 33556\n37505 63370\n21168 51228\n10879 15207\n30671 65143\n56429 61375\n15300 39858\n25222 26321\n1506 93003\n3669 44109\n49596 80529\n21119 44538\n6053 17808\n73157 77465\n57355 64508\n2439 18586\n15478 84283\n57695 76432\n1230 72175\n8556 68653\n44105 72508\n32762 35707\n17453 28824\n50589 91327\n59774 90051\n53746 87721\n4009 21291\n52315 74867\n16416 49339\n18789 53213\n3980 68783\n37605 46980\n10241 40403\n10464 51523\n8385 32290\n76660 90189\n60384 85702\n31207 64099\n43139 55552\n16186 69730\n34445 88471\n33139 48360\n8738 8763\n51155 66999\n42064 80526\n42130 81195\n61714 67322\n71572 79887\n90949 92084\n30030 66094\n53215 82841\n26105 76449\n3689 17793\n4705 23010\n4454 52448\n18734 45941\n17795 43754\n42683 83667\n25880 32859\n32236 84495\n26813 75530\n31980 41312\n7593 90056\n20350 51690\n4892 33306\n42193 60255\n65256 75030\n5225 77260\n7433 34310\n9024 74415\n6477 64497\n39220 91302\n4357 17035\n22195 84633\n11495 17518\n3539 48202\n69043 79317\n36032 62232\n1521 63119\n5451 25210\n31507 34353\n44961 67177\n22081 72855\n39135 89521\n47028 60018\n75179 78789\n3087 81244\n25161 82535\n3728 17546\n1169 68727\n26338 35820\n39915 64308\n1739 68175\n19037 38217\n33360 56890\n14242 35829\n32933 37922\n38921 74256\n47812 52476\n57088 58368\n33277 91654\n31509 74068\n2138 84314\n3765 69802\n83893 89583\n59239 71929\n6427 82466\n326 82211\n51706 76925\n22913 92749\n632 43983\n84700 85068\n28309 85558\n72874 74914\n17283 68586\n54242 91846\n17430 24380\n33791 41425\n37463 68582\n1395 89851\n1504 19841\n31896 32726\n55978 79218\n6081 89112\n60308 70654\n13353 29724\n63183 81520\n74932 77194\n24265 55306\n31878 34692\n1824 2795\n4165 30867\n27996 89704\n56056 87115\n57155 83074\n30019 78461\n32707 59936\n27015 36290\n33593 39125\n35552 60751\n32438 73771\n37100 58671\n34584 66251\n15599 81505\n11284 52090\n30072 77682\n2064 63776\n52327 56344\n38387 42849\n50850 62027\n34787 69683\n31104 85442\n32999 59088\n37516 68715\n6079 55262\n7307 26357\n6715 83494\n42159 78149\n31844 44051\n20709 87731\n12008 38774\n2365 56105\n65291 89400\n7082 10302\n38219 90180\n1523 63834\n46668 82160\n13021 80291\n14068 77329\n31266 81653\n54595 75077\n12100 76786\n27393 48373\n69506 89994\n67753 77586\n9181 59586\n1511 8066\n14540 76442\n5558 86001\n22508 66076\n2334 13102\n7476 39196\n59592 71673\n71049 78068\n28333 53342\n59669 72393\n69965 71773\n73688 81216\n31465 56456\n6487 76980\n24207 68423\n14308 82576\n20400 28515\n36952 46161\n29848 89187\n25448 32124\n66965 69673\n23244 73820\n20330 36376\n36729 85321\n40657 90627\n40531 81095\n19235 22109\n2025 86288\n938 16232\n4393 34492\n32487 34282\n47055 70821\n182 39303\n8398 41688\n24502 57432\n15882 74122\n34750 41348\n5379 13203\n69381 92329\n40020 87645\n44609 70800\n7049 29769\n8864 82749\n34157 83763\n12260 63443\n42988 47736\n39288 59355\n48720 90526\n11590 47852\n49666 90955\n62486 80176\n20992 35717\n8387 15544\n55743 67741\n11650 79025\n29498 52271\n66347 90443\n16422 21551\n50076 61672\n36747 87646\n62551 73121\n13444 83859\n69306 76993\n62567 64334\n44703 57662\n15776 31462\n34132 40007\n78191 90311\n9101 15048\n19670 80813\n8195 45954\n44462 63247\n22598 89718\n3201 48168\n50860 78584\n18275 67409\n43446 59424\n28353 43559\n22982 45679\n27079 43657\n5659 19546\n8703 14630\n27971 37013\n22154 22166\n25418 75704\n28464 44017\n10562 50118\n14186 65814\n22792 82283\n26248 67632\n86376 89451\n44815 80171\n27374 80891\n10017 83568\n40513 62829\n6285 90102\n6701 93071\n26757 32001\n49169 87195\n44904 78045\n35535 89173\n40516 40829\n71350 89947\n69720 74770\n24948 84654\n42896 43695\n4012 88865\n6478 8964\n54802 69728\n8668 64038\n8124 90472\n51768 80421\n66043 88867\n8635 87673\n31421 84034\n21014 73145\n38498 85589\n45751 70722\n18730 71219\n35329 37141\n76643 86058\n25607 62655\n30637 84372\n28593 54386\n68812 83623\n9503 85023\n75718 79872\n26373 92528\n27521 28154\n18503 40319\n36971 38505\n86280 90337\n84695 86589\n42855 81944\n21938 55950\n35154 62613\n51625 58485\n74204 77271\n36010 59723\n2521 56513\n54645 92163\n41516 87839\n12760 67403\n38660 61866\n17853 45903\n13918 14548\n7494 55727\n10918 30543\n883 78059\n70431 90955\n81276 87753\n4727 52835\n53070 55631\n229 53342\n59214 69140\n23841 29320\n28938 72120\n31009 62873\n13618 63576\n75725 77161\n17097 28679\n53731 70838\n13121 57339\n61957 85057\n20159 75684\n44357 87994\n23309 92631\n63166 80095\n29043 85174\n29780 49440\n6241 32766\n39734 91461\n275 75471\n9475 46842\n10727 88012\n5002 40964\n87025 92832\n20896 37481\n24890 58970\n67482 81644\n12058 75584\n15781 76348\n8252 90186\n34252 87137\n56652 57881\n20989 68852\n18306 59883\n45325 58027\n79580 83393\n13715 45703\n28756 42625\n10359 23902\n76560 86619\n68822 83934\n75704 91858\n14216 90662\n11904 51115\n67168 75123\n63950 77779\n14437 45473\n51211 59587\n39888 70609\n1292 83940\n50298 53764\n39303 79397\n2029 68407\n81997 83459\n55204 87157\n3372 16472\n30177 58278\n26722 71453\n6401 63458\n1444 37517\n68503 76627\n28180 74838\n35988 90107\n54866 63336\n29075 83174\n23350 68782\n18943 74728\n34346 61695\n20006 50794\n57880 92915\n44964 59469\n15887 58552\n36911 51556\n9893 53305\n16950 75187\n49405 68642\n51391 60818\n950 35926\n24373 81904\n15682 88076\n35722 64168\n19092 64808\n41680 86178\n8907 68470\n17988 86476\n46784 61347\n24941 55646\n52186 76406\n910 48919\n39480 77024\n2679 60920\n9228 31936\n20755 32066\n50830 71448\n3988 27213\n51279 86850\n29695 32992\n38366 85058\n65142 68440\n24110 74849\n20053 44972\n57103 78422\n8723 70169\n42679 58517\n15223 53314\n60513 65367\n2653 79746\n1910 6649\n25226 33521\n1952 71879\n30817 69040\n3254 41280\n19754 44369\n38534 86352\n24184 90754\n29357 30054\n10787 48734\n43957 78568\n45166 85294\n27242 85462\n11331 61708\n10549 64095\n27715 32684\n20266 36423\n21625 85734\n80513 91101\n11164 56231\n21833 83958\n2167 18049\n2657 78485\n45971 75114\n10225 61661\n37454 40194\n29005 92510\n54855 62467\n37686 38209\n36954 51129\n2427 37333\n75019 75750\n68043 86931\n14016 34643\n68163 82057\n62566 64483\n12070 52831\n30344 82200\n65638 80985\n57985 78357\n23841 35478\n9972 53504\n14010 83874\n79738 87376\n7981 14499\n938 36589\n25493 81273\n16762 45102\n4268 15795\n16063 81526\n30301 62773\n68550 71803\n47197 78046\n14075 21634\n52246 55164\n35486 65539\n5926 52225\n53291 54637\n7912 24155\n30343 91701\n11458 45818\n5884 50355\n22042 35840\n67686 91916\n14783 25134\n25030 33648\n11779 63336\n76837 88319\n55268 81162\n8934 15360\n6072 21719\n9538 21006\n22058 63678\n6473 85290\n22909 28294\n12163 41993\n17974 23318\n70706 90150\n52707 74348\n6002 72098\n41166 61835\n82758 92591\n5870 50439\n41808 74888\n49246 59182\n45713 66448\n19322 24144\n1349 8135\n31495 73648\n44597 55160\n11027 31733\n16005 39531\n27883 84222\n46414 81802\n54494 55579\n27578 31691\n1906 78308\n27066 92494\n4100 38949\n33072 45745\n13078 54691\n47098 89481\n73507 91619\n11396 85057\n11984 51867\n17424 59260\n6697 56488\n47419 53055\n60281 71419\n12330 39164\n34274 71313\n2960 36315\n39331 79713\n34068 51114\n17170 78739\n61195 67913\n1605 81664\n1190 82095\n33895 51931\n5744 10158\n49223 92747\n33749 89827\n28004 62332\n5123 34233\n46735 75709\n77347 90663\n10193 48804\n29896 48049\n35628 38461\n54957 64691\n21917 27573\n38831 63099\n37155 42602\n30422 49055\n27913 78289\n12522 38175\n39827 41556\n2379 3778\n19799 41415\n17172 24249\n25997 31709\n1018 7514\n16657 43584\n1810 44039\n19211 26891\n18844 47995\n13630 24829\n7842 64309\n69698 74023\n12490 27947\n1875 2040\n59584 76593\n46657 59958\n19911 32180\n1983 6815\n41604 55420\n44950 47942\n21223 74000\n25178 47109\n32672 65630\n37151 76252\n77 6339\n26153 43327\n77301 82656\n78333 81071\n35250 42822\n12142 15072\n30522 43345\n5521 64124\n34887 68799\n34556 55616\n77219 92254\n23227 82320\n13063 86201\n66976 69414\n27301 90744\n52016 77961\n42879 47339\n23459 85701\n25969 42961\n37701 47324\n56502 90925\n34369 57648\n72849 89123\n35003 89253\n9358 70035\n24821 35436\n36859 69889\n18309 26472\n13437 78437\n372 47754\n493 90059\n39598 49972\n28648 62285\n68039 81158\n737 49825\n38244 47181\n65246 76527\n23904 27660\n20572 41293\n47466 92862\n61625 78803\n34691 72381\n1437 61590\n7285 17046\n26593 79772\n88976 93003\n3663 51087\n41960 55575\n14055 59925\n14979 27522\n23882 70533\n15932 92496\n26292 74970\n14944 41426\n44098 66230\n70613 86790\n12498 69444\n37738 67710\n23112 53455\n26764 85082\n33791 52871\n44568 78385\n29143 51232\n46384 58734\n30836 52061\n6472 81179\n24181 82766\n36242 41114\n803 23564\n8597 79081\n30433 39461\n51535 84231\n63300 80913\n43496 76385\n62207 73118\n6871 78137\n22010 53526\n52329 86370\n61069 84323\n45085 55124\n59211 62826\n21650 27323\n59320 91144\n42757 90715\n76831 86625\n53361 80566\n5660 7987\n41539 67209\n60466 72027\n5462 92569\n26146 52492\n62253 64131\n5552 73713\n12112 87635\n19342 80589\n13092 76754\n47237 83571\n31919 54321\n11821 73028\n4433 84808\n77592 91631\n10678 49134\n38447 63849\n5890 21718\n43000 49389\n30581 92083\n20138 20573\n3662 83185\n520 12444\n30989 86921\n21970 28257\n28487 85910\n45559 87244\n68805 75313\n8519 49488\n35886 83295\n56499 76552\n5931 46767\n3949 72740\n19426 76185\n13350 85109\n75034 92268\n78456 80985\n21443 81258\n30466 81155\n41350 87841\n13060 69921\n22360 35046\n27052 29840\n47173 84830\n29651 70148\n14976 33484\n37078 42241\n34658 42536\n7754 74548\n21931 30390\n1656 73659\n84844 86046\n7831 33457\n65596 72444\n61195 62212\n63509 91709\n20607 49340\n38288 88948\n37868 77056\n12636 36892\n9916 56018\n52347 70911\n21805 82010\n44665 85422\n16040 31317\n18071 22322\n45052 72535\n44484 51435\n34751 35675\n59978 90095\n1500 69190\n19138 64673\n67977 88737\n37510 53994\n37316 62628\n16593 61504\n77210 77882\n8571 33639\n56143 69670\n23081 86065\n55008 92919\n27313 29904\n27347 50609\n8044 10451\n54221 79554\n67633 78806\n9963 28629\n70385 85922\n43143 58259\n54262 61476\n45551 62659\n3186 40709\n9697 55584\n33763 88360\n32751 42213\n10644 22152\n42241 58630\n25113 75030\n18848 84496\n40017 81329\n31357 49945\n8213 32251\n39724 74309\n54672 91173\n53450 66140\n20057 75326\n11879 22033\n38426 85226\n27190 83527\n45590 56667\n32504 36881\n29504 57847\n38252 85518\n52959 90029\n25248 46032\n82132 87363\n22687 76975\n12942 89292\n14794 71323\n66158 76415\n29071 69466\n25612 67836\n38673 48239\n3132 10744\n4458 12779\n61149 72534\n8793 41694\n13361 26161\n61721 70690\n38957 49006\n4816 85669\n64686 78371\n6516 14297\n3158 55906\n4490 47827\n35886 64517\n39017 86439\n6050 61015\n49472 52283\n7435 90169\n1159 66032\n11256 81864\n5627 27385\n13160 18032\n71323 78070\n8569 45665\n45322 85705\n50513 59499\n53691 77760\n42307 65031\n1812 85366\n48706 60288\n3934 46889\n54104 54443\n11405 57773\n44339 61595\n14114 40692\n29752 32030\n27822 45229\n27683 62855\n21377 59616\n26925 87313\n39441 79794\n29689 73277\n14336 51583\n15928 27679\n29035 48936\n22583 44308\n60979 90989\n44620 60962\n50486 71616\n19971 68271\n38573 78111\n8374 55132\n30675 37383\n57268 90301\n83532 87216\n50507 57034\n42892 88940\n79556 83561\n39926 76462\n41136 80279\n54676 76012\n18587 81514\n13923 59202\n10478 10858\n29350 89051\n9773 68343\n15858 90770\n13966 51745\n66615 68373\n4390 34526\n12587 37947\n5356 54162\n38617 41963\n34018 35062\n28636 83452\n18207 43338\n23288 63721\n15193 76890\n23235 47260\n54874 84992\n13301 61869\n6228 85709\n10177 64931\n3381 29559\n20941 81885\n36314 51187\n13854 92372\n18118 76848\n51488 66402\n783 60867\n7505 92945\n55696 58867\n79544 83662\n35364 65514\n44444 58007\n24962 65630\n19996 71493\n9261 14161\n48171 83591\n11704 86050\n14764 21559\n71941 91324\n37575 75731\n24951 75793\n26985 37746\n83016 86134\n51254 84904\n27148 38583\n52315 57514\n36236 41897\n27893 69610\n44346 81134\n43559 69784\n6375 48048\n50704 53429\n43101 84671\n9874 40924\n31111 84032\n35102 65490\n35982 76757\n77705 90407\n49652 82014\n10671 21761\n5259 13610\n52777 71763\n3620 43028\n64849 82426\n43836 48268\n45108 69862\n53955 92810\n29290 74446\n61664 84349\n82138 88630\n36851 39080\n72328 91315\n35032 83556\n36737 41883\n23414 38661\n66714 79228\n59064 67732\n2106 65397\n17328 33392\n85977 88157\n39647 53154\n1480 27439\n2226 41202\n6135 15174\n12662 74453\n48911 57962\n76796 84203\n10659 17071\n84195 90577\n31296 57851\n59658 92609\n3676 30167\n66355 86663\n14672 45642\n5014 88116\n30332 33166\n30666 46130\n4333 40976\n534 79740\n41201 68806\n4345 12825\n45910 47152\n65287 82106\n26342 74029\n48507 57684\n30969 56449\n23881 90328\n20220 54917\n59182 67077\n12924 54694\n32892 43032\n53460 64533\n20089 71684\n67284 75648\n27012 32837\n12169 21884\n7724 59097\n43812 85992\n19370 69395\n38195 62109\n58162 92428\n45079 77562\n21537 92333\n27674 59706\n2379 83100\n60468 68975\n4031 46846\n25629 60695\n2866 8642\n57302 59941\n52987 72753\n53526 62042\n17968 70635\n65959 78628\n5494 69789\n22964 79001\n44861 77246\n70699 89556\n37506 90819\n71601 75556\n63874 88007\n75987 85317\n38654 67960\n33885 35339\n62665 69305\n42616 92338\n73581 92563\n7330 59826\n15408 41993\n19423 49125\n629 75561\n4293 67406\n23917 85440\n26539 32840\n12779 88551\n35802 55131\n35808 59484\n14272 14426\n944 35938\n40031 42266\n1887 5610\n23676 64226\n7326 93132\n65549 89854\n2732 16921\n9456 36057\n26435 85678\n23946 59065\n9924 39313\n25457 74065\n17169 31727\n20864 39122\n77643 80724\n39482 82771\n45543 82162\n10112 56513\n9771 15479\n86470 87919\n27661 32373\n60121 74222\n11316 29768\n37607 45976\n41316 67396\n3130 75685\n59961 89319\n37493 85432\n13867 47040\n70179 92061\n52 7341\n4471 37250\n91528 91553\n52878 78939\n3753 87649\n12958 35765\n19233 42360\n50573 55893\n22537 23970\n37917 73274\n16913 61514\n19283 46108\n21979 42697\n36500 52130\n14702 85160\n17089 56722\n28627 59252\n10482 38437\n12324 48054\n617 56374\n28469 40452\n76230 91769\n28531 75892\n15262 66437\n36472 38030\n35770 52950\n23770 66140\n15872 91809\n2009 39668\n19380 57604\n62021 87202\n1585 86112\n18317 24014\n56017 88372\n60278 85502\n13188 30003\n26501 87040\n25694 50978\n47509 55612\n41075 86153\n44890 67181\n24352 92838\n1931 79629\n6936 21621\n15115 70917\n11950 72489\n60708 75000\n701 11784\n27404 84065\n33107 71909\n10330 92252\n44827 80227\n16732 51459\n58639 60309\n37334 65265\n53349 79379\n63217 65990\n4476 57939\n28333 77465\n20437 72321\n15642 57756\n70322 81745\n12304 64427\n91202 91612\n28581 31700\n70883 78665\n45245 60830\n64055 72342\n33430 86090\n15976 23900\n26470 61150\n24335 85427\n31023 65886\n33935 69758\n15021 92077\n52369 70415\n37230 39236\n80846 85333\n24320 56455\n10451 78424\n19921 93094\n9982 90280\n20234 85390\n29381 53945\n18542 58527\n40166 83537\n11515 38593\n33197 90737\n3552 31062\n29688 31505\n16358 37968\n29483 39446\n46876 70008\n54495 90666\n11298 40535\n5843 22017\n17960 30465\n25334 57759\n17372 61402\n25874 49246\n5121 17301\n1454 62676\n25402 56288\n16400 48301\n29554 74029\n63919 70228\n7729 54924\n16971 82884\n14106 75761\n37168 83602\n67262 82693\n65735 67793\n26385 80008\n433 50196\n4990 23487\n4340 56910\n38754 81121\n47876 54486\n2646 8108\n50024 81200\n972 50880\n79952 81643\n10772 47082\n12896 14497\n11241 16144\n32971 51850\n15815 50624\n44725 54636\n1561 29520\n42020 71751\n42320 84837\n23960 90282\n30920 92343\n29259 33906\n58339 85835\n58033 73960\n13116 47530\n35591 78202\n8545 70781\n32539 51555\n15797 36542\n37833 70061\n47488 58556\n186 67757\n68120 87083\n28279 38758\n59785 81327\n34667 82342\n15251 58923\n47271 79928\n41598 83469\n39493 68708\n39281 42000\n60646 93061\n58403 86885\n27735 28095\n43677 67019\n23079 91206\n60738 69831\n24453 61892\n2818 53275\n6096 83421\n41037 74094\n11206 60063\n13725 85391\n32710 38865\n39580 54792\n4508 16145\n60659 73802\n70171 75952\n10962 50090\n5899 48807\n4984 92046\n74465 75226\n8957 68646\n43893 91837\n38689 57757\n16490 41968\n30766 49676\n30794 55454\n8578 75312\n79190 80791\n22765 91221\n34373 85999\n38086 90597\n66392 84547\n15530 38673\n36860 51961\n4114 83090\n60554 88381\n28209 49517\n73322 84022\n28741 85301\n38862 40401\n83698 87208\n12629 31943\n42244 49227\n6016 55096\n57036 91177\n12150 50241\n9680 59511\n2587 30129\n32742 49525\n44499 85850\n17794 36725\n20302 36825\n23569 78196\n65921 76551\n31174 58185\n54390 91724\n15728 64687\n31577 88255\n23139 63083\n4278 67655\n52153 79600\n25032 86433\n22266 74362\n44283 52772\n58508 73546\n59323 64322\n16862 57297\n4616 58457\n68747 73366\n14706 36435\n36970 45562\n57555 84661\n19716 33695\n22182 73623\n46998 63527\n15674 88477\n52521 72929\n24496 60861\n7315 45152\n34853 77904\n37190 91094\n14498 17928\n29901 67492\n44664 73781\n3067 30996\n67912 90998\n32787 84598\n62649 77228\n64431 89538\n12588 41914\n19848 43873\n2811 89000\n6224 87396\n10386 32358\n7206 31074\n8721 27081\n25108 61106\n46245 54209\n68684 81219\n62625 92495\n45444 84199\n69552 92001\n44114 53367\n35633 40844\n2106 82684\n25816 51735\n12667 26216\n56012 83849\n49124 52777\n25801 64525\n83689 91170\n40992 43550\n7000 58035\n15234 57576\n30680 46956\n34654 35872\n53084 66367\n83849 88390\n44845 75776\n84877 91978\n26705 47630\n72399 88705\n27340 78233\n17174 56629\n20920 26805\n19488 22778\n40967 48481\n30667 46267\n24763 72541\n64881 84608\n42289 81007\n67510 72887\n32899 64575\n58965 86829\n54193 90997\n21299 42987\n28191 59049\n42364 86761\n7705 61941\n43580 72775\n73211 86331\n28973 82214\n65807 91700\n76213 86877\n23238 87880\n83452 86478\n17380 28269\n18520 43138\n429 90200\n37166 76920\n15154 17981\n59778 69900\n47071 88017\n71033 75887\n6062 37858\n78540 87632\n16398 24304\n35272 50721\n13580 71188\n9699 40171\n17956 59363\n5951 86346\n20058 73097\n47590 80466\n9215 24415\n8186 34401\n80837 84769\n16974 67098\n6026 83988\n6371 73424\n10686 60699\n52661 80903\n24394 78464\n25707 61067\n58227 91339\n46712 62004\n40688 86306\n5438 8133\n12506 84846\n47553 55457\n1170 70511\n25366 64505\n34075 66488\n59751 82057\n5687 20945\n79675 83871\n34735 74866\n19134 90030\n24093 40493\n18046 88744\n1083 48336\n5418 11387\n25078 38044\n35613 58586\n16785 86298\n13262 91533\n44050 67764\n31329 35043\n33491 54091\n60512 90939\n28914 53955\n24626 49504\n18870 22916\n67660 77978\n30612 48071\n19595 59951\n10599 85475\n67773 72590\n713 90867\n40156 91672\n9724 18263\n15845 29394\n29176 41261\n30877 66069\n54593 82687\n51363 91035\n61402 83751\n2352 13041\n37135 61116\n16527 53532\n36633 59662\n24661 35645\n52930 90137\n38437 42862\n56980 74433\n9611 26026\n72758 79115\n5694 71190\n6836 72450\n5743 14097\n15926 92138\n5951 35658\n24662 31069\n46586 50621\n27498 48510\n22261 45187\n26004 46391\n2376 33699\n39097 88012\n49213 58999\n27713 83552\n18393 68760\n16998 50368\n15083 29290\n31057 85096\n27277 35292\n31580 51349\n36007 53694\n28953 46979\n58091 64369\n14553 17927\n59012 73910\n57118 64726\n20783 91448\n61499 86446\n48097 53252\n15227 32520\n15555 42499\n13793 92679\n33994 87099\n45684 78468\n49238 57487\n29797 48458\n38555 40413\n35333 71901\n76262 82321\n19436 80608\n10623 41351\n8036 74650\n15888 92296\n34928 48633\n24110 61419\n61530 81783\n41424 53276\n27141 68506\n21586 88693\n50335 53629\n27011 66529\n41471 73057\n71666 79539\n6288 43264\n3968 35243\n2797 34224\n36114 50639\n60518 72160\n28347 68792\n11161 37442\n306 82792\n34358 68751\n13947 57413\n5179 36247\n18530 82653\n21915 53675\n30912 68781\n54696 81912\n21266 76346\n18162 31016\n37283 67519\n56572 75744\n231 25230\n21645 28418\n35936 53953\n2298 81178\n4867 27661\n76102 76552\n41550 78152\n18111 57901\n66679 82066\n70579 77442\n57612 73782\n44783 55424\n32792 71139\n3038 8546\n41632 46646\n12032 45162\n37644 83194\n27015 89527\n37720 57112\n22334 32617\n43585 61828\n33816 86958\n6478 78983\n25371 45317\n9775 76742\n7 76680\n16240 90478\n47353 63833\n33581 78684\n29963 46845\n10728 73225\n37158 71106\n35472 69941\n7950 37877\n12400 43729\n8574 54122\n31380 79185\n17761 84094\n21696 63249\n35006 69327\n27420 91575\n29353 62177\n7708 67832\n49089 58380\n34482 37869\n38646 58582\n8428 78045\n1460 34345\n8934 19696\n51021 52719\n4444 90387\n9037 81292\n47223 86217\n23917 24601\n14554 88229\n37644 59881\n65033 89964\n12354 65580\n10724 68011\n46627 85157\n73108 75109\n41433 91033\n16449 85614\n5044 72423\n1305 69904\n26300 65581\n4894 38084\n37239 63580\n32522 49568\n4308 37526\n32439 65542\n17806 69135\n32332 58067\n40012 42375\n804 77058\n1117 47446\n34371 67777\n1025 61042\n22040 45906\n26170 45561\n51675 52217\n2815 63638\n6962 44090\n18044 82938\n48142 88564\n40373 76714\n37096 71725\n50536 50554\n10676 34478\n33487 49936\n12689 55377\n49141 88786\n8604 17740\n22534 90503\n45696 62604\n10669 60242\n46490 58033\n39901 78277\n54836 75165\n1388 87183\n70592 89437\n42986 46003\n30039 90317\n18885 33623\n34957 74280\n35896 79843\n23808 60612\n6418 41477\n57910 71491\n21573 30080\n9008 58542\n16173 66494\n6567 72203\n44042 46949\n56552 82216\n5214 28284\n61823 80044\n13482 51045\n64574 77243\n11111 88824\n73349 75587\n55951 88571\n29874 55148\n10357 72231\n18081 71964\n21746 64164\n6414 48387\n6185 53479\n10907 84987\n3306 4168\n57717 65079\n1796 68326\n21859 37178\n8713 44904\n17415 72243\n5113 69595\n73034 91974\n67676 72066\n16040 23070\n30926 45281\n7098 82017\n79775 83148\n63251 87128\n19048 57054\n56092 92362\n32478 91433\n36781 59795\n23306 59736\n9279 90764\n21285 91766\n30915 53534\n44447 57360\n59069 92279\n19964 90454\n43150 51829\n51222 58673\n25088 73520\n76849 89691\n62657 86121\n60383 86479\n31940 91698\n41290 78885\n5230 64828\n3221 7543\n14644 87100\n5711 87758\n56089 63134\n16078 38858\n43026 65048\n39350 42965\n6651 24072\n26757 82115\n13429 50522\n19941 32684\n21769 22175\n31811 32647\n22752 59705\n8254 13351\n29455 39744\n15770 22968\n14842 79548\n61417 77513\n69639 77735\n4403 63459\n22746 90188\n5960 30414\n32638 93047\n1203 48100\n9312 85927\n793 47507\n15007 54978\n13472 79980\n50985 88871\n57032 59164\n58601 93066\n28243 67597\n81632 81765\n29519 80362\n59541 61309\n13855 85019\n28193 54037\n54713 92596\n48249 62525\n4645 11781\n701 755\n8546 13517\n12140 36398\n64396 70157\n55583 61115\n53108 55131\n28800 70107\n31628 54372\n450 29304\n32381 76587\n42263 74644\n9202 78176\n12281 37953\n46436 57355\n83629 92036\n23776 56869\n16948 41535\n32804 91977\n10419 69838\n442 73084\n14628 32432\n24891 78100\n58494 63654\n9331 37737\n22320 56497\n45702 55488\n11427 72910\n10078 84376\n27687 58759\n22019 85307\n41216 84420\n41629 41921\n35353 52499\n12649 28309\n48389 76341\n10730 24469\n3336 86886\n48521 66737\n5281 58482\n16573 56097\n9492 9614\n31458 87564\n5585 51224\n1074 4075\n8294 90817\n7760 27895\n22040 49444\n47437 53980\n17569 48663\n25031 79452\n25969 41011\n46529 66330\n19861 28204\n16785 73523\n67835 68438\n22128 56163\n1422 76021\n1248 12688\n43204 56584\n58942 78959\n4415 74343\n19015 36495\n76240 77525\n19030 47228\n49078 55414\n23594 33466\n35262 92974\n1393 45136\n20533 78564\n3574 14668\n42394 61330\n79675 91679\n6083 86733\n14669 68971\n5319 86603\n73492 92144\n39792 91964\n54414 73740\n55144 89788\n15340 33261\n50444 90074\n2796 66754\n63844 76688\n302 63055\n26011 65245\n9289 85039\n41372 89195\n49001 57010\n46771 85558\n10244 10619\n23195 48468\n8626 59351\n32561 80166\n74026 85674\n19777 34919\n11745 57841\n42656 91613\n11979 39950\n9728 28175\n5438 78465\n52550 92425\n25199 65637\n17528 41560\n46290 57034\n1757 7212\n58944 78247\n37113 77520\n47428 70255\n21112 36784\n9522 37224\n75575 88468\n59388 92912\n3224 62968\n8274 91624\n46162 71096\n23657 79730\n3679 43266\n1727 79442\n56536 90852\n17742 53707\n13510 22173\n65214 75682\n20363 48115\n38066 47216\n49365 57531\n65793 73245\n10166 25032\n37257 55348\n11184 91423\n53494 84030\n4782 72770\n27927 75833\n17527 37127\n14135 75635\n20967 59897\n57299 78245\n39389 68370\n83940 89111\n56680 66310\n9558 85489\n23698 91013\n23956 53954\n28868 73856\n18391 81011\n34713 77517\n61477 75137\n47793 86604\n9884 72010\n62155 73734\n9526 35203\n48794 60735\n51140 51343\n20124 48571\n50980 77272\n86103 87915\n23006 67593\n25296 47783\n56136 86134\n30130 56814\n17998 84605\n71831 78181\n20421 48232\n61032 83268\n8466 70561\n36589 51888\n41271 83496\n27076 27151\n20145 48303\n18405 45629\n9332 23539\n15522 90776\n28207 78637\n1420 85248\n51447 75333\n12636 52618\n13610 67179\n27627 80241\n21607 87163\n38619 77740\n45123 89866\n11323 90828\n30462 78057\n5822 20167\n26402 35682\n220 81881\n32489 46472\n14275 16287\n80425 80842\n23243 59410\n5653 30847\n14286 74634\n2550 8243\n12796 60705\n71523 91205\n19024 79522\n16685 18364\n47867 80419\n2602 6475\n37336 47682\n5692 57198\n70585 86907\n15898 54847\n7471 19530\n35675 77134\n71286 86912\n56377 61720\n46392 83506\n41886 82436\n60981 90585\n20257 68159\n19168 37404\n14997 51131\n44217 44251\n18728 30490\n5950 15874\n31077 73893\n33450 54385\n80806 91938\n12949 27075\n25871 32812\n10987 18644\n7191 92763\n15060 55469\n42272 70856\n40703 67825\n12329 47718\n51889 90673\n57909 73863\n43591 93113\n12913 71429\n12676 63097\n21542 49561\n57424 60493\n1986 80712\n28274 45324\n1726 18664\n10910 33385\n51715 90080\n49371 84745\n66479 74566\n2996 24381\n4979 37052\n2142 57949\n74173 87211\n15356 38247\n75897 84264\n43561 65684\n23901 47004\n40895 79586\n13611 70887\n46581 93046\n28223 76051\n23176 91049\n30688 68665\n62557 73108\n18638 77065\n50969 52530\n18198 57514\n4951 60871\n41813 44265\n5202 51434\n26129 32772\n46971 87830\n33911 78297\n4570 20782\n4524 82347\n35162 82067\n75100 91696\n52374 82677\n31633 57137\n321 49757\n88443 89484\n48971 60806\n14535 57228\n24699 73319\n8980 74747\n9672 80678\n6508 90682\n15594 47941\n6496 72745\n41972 89709\n15507 36373\n78507 91253\n69546 91641\n29442 38220\n24951 57188\n32026 79691\n4107 21843\n13282 36259\n21800 24203\n44451 87616\n17471 73748\n21108 57951\n76406 92539\n56618 70500\n37864 47012\n52936 69632\n23264 86071\n18845 48905\n7542 31574\n10351 44158\n70265 74760\n48907 50218\n36339 54511\n63297 68658\n26399 56011\n60230 60825\n35620 75686\n47471 84311\n53720 76488\n17295 30225\n44360 89939\n15725 67647\n24932 61640\n66759 86884\n48183 83847\n8663 10634\n85888 89840\n5309 18840\n11897 45094\n33541 36804\n9323 74537\n59473 86287\n7978 76771\n67215 86594\n9734 82790\n54113 78493\n9046 27348\n39092 63553\n22524 54909\n5150 41121\n35100 89555\n21896 85139\n20988 40276\n45356 66232\n56337 75805\n71304 91029\n15812 85096\n43587 88253\n19660 82149\n35217 43688\n38859 69702\n37975 44798\n11835 59551\n26102 49291\n57481 58061\n59501 87834\n2871 20817\n4509 76325\n39069 70725\n7872 56796\n29739 85999\n10275 35828\n31934 69882\n65087 87713\n86512 86819\n15921 60940\n38268 45219\n2534 9249\n6927 60488\n44516 60620\n33987 62418\n13787 35042\n56970 62761\n3831 77351\n24582 72078\n43071 77527\n26911 55403\n67841 79960\n49802 87060\n22250 87997\n45818 88048\n12914 45408\n45309 78091\n29939 37040\n29158 82227\n25613 56927\n27894 69899\n32338 80135\n54835 56095\n58879 68833\n2184 17416\n45667 55572\n70891 83224\n16304 40271\n3850 37235\n12828 55067\n4465 84275\n8224 14163\n13951 38688\n22109 84715\n21591 30269\n38738 49709\n52897 54979\n46276 71528\n23448 73446\n8202 26814\n31525 72939\n39140 44107\n54684 69534\n33810 34277\n42247 53923\n34049 37113\n27469 70539\n19116 89319\n30787 34562\n35360 39996\n1942 1982\n65294 84110\n27003 84890\n36643 53837\n32384 84062\n5624 14989\n2435 32267\n51711 73226\n18104 19976\n30075 79459\n46791 75779\n18257 75828\n50293 72034\n61217 81868\n41844 50331\n13379 52372\n40540 87995\n47710 63097\n7727 89625\n4267 60439\n15453 54262\n4159 87157\n32426 72458\n14741 27771\n24795 61526\n14449 67737\n26511 50080\n3660 84140\n2191 48172\n26274 53379\n69656 89723\n41288 76768\n31000 87205\n2826 68039\n4162 79252\n79408 80190\n22987 47379\n38907 87372\n7125 61306\n2475 81167\n63739 82773\n3139 82979\n46366 69855\n17841 88538\n26905 59485\n1439 47242\n8967 32326\n44982 67606\n10032 10671\n46240 73270\n53575 85581\n6931 72289\n39210 70011\n613 43445\n56268 83462\n47493 90756\n4678 65998\n6288 64335\n34805 59229\n54839 62392\n1620 17766\n19616 37424\n52709 76415\n28237 41559\n58120 91660\n53112 72142\n61406 84750\n65589 66292\n17255 52233\n56288 65491\n20167 66997\n40183 83390\n40068 48621\n22095 28328\n33839 81999\n40907 49277\n68833 84529\n1565 77937\n72976 89635\n9613 64328\n37248 54312\n18858 60583\n78143 86812\n2809 43780\n10537 67946\n8662 39421\n68339 75687\n40597 89515\n29061 37166\n16992 67211\n19883 62647\n23313 89626\n37277 68332\n286 71688\n9221 62552\n45596 69179\n14835 90733\n24170 45324\n52204 91513\n42832 84213\n49774 84940\n52512 54953\n9310 71532\n14149 32731\n21198 46837\n74159 77455\n37954 70758\n43392 73230\n58383 81810\n70069 75445\n62818 69679\n56966 84748\n28879 31611\n34078 54994\n51702 55047\n43725 78680\n7310 41167\n82011 89944\n700 39803\n24103 78581\n166 14983\n66144 85896\n16580 76387\n56712 56869\n73740 78855\n34818 51541\n21498 67346\n67975 91347\n38303 60294\n70358 78673\n28335 61769\n6209 12992\n35290 90828\n56008 77591\n7817 15866\n4724 14057\n14881 61922\n41660 90036\n39195 51643\n479 27985\n19856 22350\n13669 86377\n37323 41146\n45671 74205\n16135 91990\n51337 92055\n54583 85776\n42817 63075\n14814 86879\n40812 91900\n21540 43803\n20303 53493\n10857 91638\n19249 26298\n75657 78403\n19264 65125\n7169 20352\n58582 89137\n65161 68328\n29835 88836\n18388 69379\n25775 57077\n36078 85120\n45378 46091\n45090 79409\n15272 81226\n2457 90407\n431 90828\n5305 83470\n30679 35803\n2388 42516\n13632 65386\n55730 59192\n12508 19686\n37612 91416\n28001 77472\n17693 30161\n32110 79875\n5947 87166\n40065 89494\n41467 70961\n23964 62726\n1640 4496\n5644 39368\n34046 46264\n65206 78932\n2188 86449\n10264 88108\n15501 58085\n42509 91637\n60548 87838\n12283 18357\n55122 60374\n45315 88051\n2916 46028\n3473 17670\n50319 59526\n3494 5935\n38368 40473\n35842 59889\n35263 37755\n1243 42070\n53473 66604\n32012 77539\n57263 82936\n73302 88713\n17103 18627\n83218 89130\n23305 53231\n70598 91398\n37606 41205\n27528 59434\n16436 84809\n73627 81252\n45415 49011\n840 87520\n15760 30293\n55676 65560\n31339 72507\n11526 87887\n3531 21554\n2814 32911\n9578 64715\n5048 9561\n4110 59363\n80643 90055\n20224 87743\n50521 74753\n12192 42540\n42832 66766\n25045 50396\n38869 72128\n28160 41642\n75218 82838\n60876 78333\n1225 16397\n36983 87638\n1788 73912\n58021 59058\n50513 72809\n5062 54116\n73862 80628\n34278 88510\n23288 63774\n58247 74761\n10239 59390\n86564 86796\n6501 90304\n62663 76281\n72625 87092\n31919 37418\n36751 67788\n37402 83232\n65583 67237\n9386 19603\n10343 26788\n50677 83755\n21904 23991\n15912 61064\n35033 47999\n3141 56052\n61152 87227\n24092 72905\n61590 86953\n1449 35852\n12818 65800\n2916 6636\n48329 59555\n41502 86534\n32854 36745\n5079 53642\n2691 79294\n65392 88844\n1497 84078\n11408 23446\n67895 86908\n14449 25764\n73757 85024\n61680 64446\n33931 34996\n24137 58206\n7191 52077\n8006 60420\n7740 67620\n63368 75005\n12990 30850\n83717 89806\n8314 67838\n20042 80964\n17442 32385\n42401 44046\n8650 9031\n37178 71552\n3314 58114\n29624 53535\n2591 13934\n47723 56706\n43788 70411\n37237 60301\n46271 90996\n11272 42419\n29678 41168\n15955 41602\n76905 91484\n59437 71917\n43263 45828\n36661 62184\n27122 57787\n3112 60520\n10056 44172\n32479 35199\n60048 86717\n22902 58720\n26743 80092\n22487 69964\n1093 80302\n63249 70437\n75189 79476\n33404 52299\n26755 69405\n14068 35650\n8432 41984\n52872 78135\n16020 87191\n10978 32698\n33202 35064\n18890 55446\n38498 79424\n80437 90882\n6893 79033\n46753 77730\n26066 35426\n44714 87745\n39605 45325\n3798 87819\n14646 59246\n31729 44994\n14187 65275\n12496 57659\n28275 35473\n15259 17461\n2345 75632\n13283 56807\n8153 18007\n51036 55042\n12643 27074\n2951 8960\n14569 69678\n25134 93038\n4202 86806\n45466 59101\n17559 92610\n34292 75338\n12098 61268\n53656 72704\n49505 69502\n53864 81928\n39349 67215\n46881 80498\n72492 87131\n38227 80798\n5017 70210\n75729 75999\n22799 70480\n69974 85373\n24476 26193\n35139 40290\n21847 47931\n48971 87901\n56625 88232\n41330 44998\n36899 68610\n414 62004\n58014 85678\n35493 53691\n44757 87596\n54556 56394\n68804 68982\n78664 87538\n12484 22600\n16189 35579\n32133 63891\n27979 51619\n18425 58153\n24908 50006\n54269 74949\n4268 30011\n31243 47961\n31102 80440\n45696 48471\n31500 44090\n20004 63545\n22001 70145\n14728 90043\n31888 78792\n67499 70303\n6481 11761\n24005 40148\n31880 32473\n2315 51952\n6475 65879\n40093 45545\n38850 52728\n3244 92330\n20883 63785\n17782 48763\n45940 62541\n4901 22464\n26166 78522\n47240 55376\n33915 55886\n54230 67031\n630 26243\n17256 27302\n70240 75544\n37896 88407\n2309 52905\n40387 72202\n14498 72144\n34038 76423\n32227 78830\n27331 35941\n7720 37797\n25769 81191\n31420 79740\n11960 61510\n57567 92392\n53853 78278\n51693 60400\n45694 48710\n53941 81785\n67890 81155\n9473 62268\n47168 78914\n9159 31036\n76707 79152\n33091 68449\n16730 76896\n404 87002\n6040 69250\n9695 70129\n77014 81653\n39927 40759\n12628 78817\n21235 75837\n5167 90602\n6780 39411\n37613 59715\n5095 35251\n20672 53904\n3240 19368\n11684 72455\n19321 80223\n65096 72549\n27663 70488\n31812 46845\n287 23548\n902 40396\n3917 87788\n39264 76363\n15254 53804\n25601 37890\n26708 92504\n55816 90947\n30607 51655\n71778 90316\n3073 65373\n38309 63691\n12392 56834\n74060 82021\n65362 77168\n4319 46994\n13589 79201\n74301 76693\n575 60981\n24087 62296\n12566 24804\n20629 38647\n9337 52421\n9005 69592\n13146 39722\n27949 64368\n46742 55808\n38289 41885\n39709 75129\n61043 82442\n46833 75595\n71652 81513\n44600 64363\n17741 62828\n22659 86224\n5915 42171\n15993 20423\n16292 65287\n2532 8030\n6401 19029\n42335 61761\n27714 42264\n94 51263\n14194 45452\n32318 47215\n7870 45016\n10499 91773\n27520 37998\n22820 40378\n36511 75955\n40664 68455\n64753 78881\n48751 88319\n149 1524\n16146 53229\n1471 15722\n20115 78513\n16396 68830\n31901 88856\n28659 47100\n35895 42370\n67593 79338\n9050 85849\n35115 79000\n68111 77852\n32072 56963\n36084 82443\n48754 72179\n535 51878\n61360 66710\n44565 58468\n7448 63640\n14127 64711\n46933 60219\n3346 29304\n101 40040\n39586 54237\n32418 32567\n39614 81374\n18329 21704\n9130 61851\n1778 68156\n1464 62731\n12258 52071\n301 45203\n27480 62193\n19899 61999\n13707 75273\n72156 83469\n49974 72311\n2566 75267\n12086 79006\n19801 66563\n35702 80680\n25641 69469\n74178 91372\n44081 82657\n44791 56253\n23038 35448\n13130 52214\n42615 79256\n38798 49938\n6509 87476\n73353 89415\n83449 91531\n28738 36187\n49853 50148\n37962 74547\n24370 79129\n30235 43814\n3526 57605\n24097 73338\n7561 48781\n58279 71920\n45437 59828\n19677 73584\n13937 69133\n28743 56895\n8054 24432\n659 40953\n15317 15900\n13217 43424\n12003 63544\n27384 90265\n2298 67614\n22202 28914\n42196 64292\n26975 77844\n32305 41115\n3680 78947\n32697 68572\n33920 81365\n70 91878\n36118 51763\n39129 72073\n66169 91731\n48621 86641\n27321 30883\n79953 83609\n13545 77967\n14128 35820\n40052 75217\n43404 81631\n33461 38789\n8456 48443\n55435 75471\n4556 75172\n66953 80173\n7545 37018\n58950 60188\n9244 59063\n66162 83286\n2383 30683\n26619 34803\n65633 81470\n72965 81561\n48263 81718\n14236 36322\n69012 73507\n8087 70134\n17079 26935\n69184 72131\n59158 71732\n39410 50384\n52658 85279\n12288 61460\n73073 92796\n3211 63991\n57087 66809\n11596 33131\n2293 9793\n68009 82683\n53897 85110\n59384 81172\n68050 80033\n14586 32100\n72360 90841\n81596 87760\n26314 45700\n27453 58643\n36835 57568\n4075 64645\n13068 75598\n19149 27085\n39949 53186\n2338 3954\n72174 81517\n6584 16886\n22770 64513\n39349 69231\n73253 90197\n90386 92631\n3502 6257\n47932 53054\n67974 78851\n49599 66036\n2182 77598\n33934 62301\n17637 26819\n17108 44340\n23278 85562\n65715 75277\n6547 31752\n21377 65976\n33392 47390\n46820 73133\n16976 60608\n38157 66823\n9678 17367\n9797 66299\n3880 24817\n10346 74220\n32943 46557\n42218 89987\n16155 29345\n50628 88587\n20538 71579\n54566 85235\n8962 34271\n1165 56871\n5642 6536\n31323 56230\n23355 64931\n31242 47767\n11524 57580\n22642 67237\n65726 72415\n49895 92671\n62156 78487\n29200 68334\n8925 47397\n23566 83261\n56054 66563\n64644 92536\n46166 57395\n12370 30330\n84310 89129\n32364 74721\n25125 40695\n76955 89060\n44687 66208\n36003 65876\n48696 63041\n5099 49846\n28352 77969\n27756 88290\n68699 71507\n85122 88668\n7088 49542\n20588 48427\n16699 81393\n5056 72163\n42537 50656\n15689 77701\n59144 62720\n10537 44147\n63980 88709\n13677 23224\n83258 83617\n28573 39633\n71322 83450\n24000 89373\n1754 48057\n30816 89414\n37401 72406\n50683 54564\n858 45045\n9914 75119\n1205 22883\n54667 77302\n8616 46514\n21916 85151\n26868 54936\n17049 18019\n40503 53118\n41783 85569\n24156 52731\n13137 49529\n59405 76849\n8701 55985\n79638 90452\n51769 59314\n741 82957\n38848 39383\n11385 77932\n80201 80225\n8608 25691\n55513 80791\n25502 76930\n7710 78264\n5670 18970\n16569 69706\n54519 76787\n49472 66908\n12118 23514\n20897 51232\n20585 56950\n11725 61148\n43837 43844\n11511 15026\n9282 89502\n61956 64770\n52465 68148\n37787 59365\n1228 18755\n6162 6974\n5465 83558\n15159 51821\n44009 84913\n24435 92555\n2019 23890\n51342 63702\n5743 91755\n43177 71874\n6916 73409\n1034 74565\n17092 78367\n50486 55227\n64388 76218\n59914 79678\n66523 75660\n7024 35941\n33677 83934\n48047 90562\n13891 23785\n34836 52516\n25797 32064\n38670 41174\n21905 29032\n5036 54805\n31969 62594\n32725 49337\n74953 87522\n4629 60431\n10513 69253\n7806 84030\n21703 43235\n1758 54534\n7071 70035\n24776 66515\n86518 91780\n40829 62535\n68641 88831\n84478 92957\n15375 86545\n6342 40449\n23735 83745\n10264 52560\n4486 38010\n63630 79091\n67410 73706\n28819 88737\n37384 39276\n19895 53895\n9909 69173\n4641 44516\n50530 79792\n19234 82653\n8006 31447\n27717 72652\n74493 91955\n20278 61501\n32196 60137\n1747 30320\n16815 51780\n25570 50287\n18329 27027\n52546 84127\n5923 54464\n3498 50601\n71087 78059\n8994 74698\n35835 85676\n60344 68667\n25684 40981\n7739 55982\n14437 54459\n3355 8570\n23108 67113\n11937 39996\n16547 43482\n4793 59285\n50772 61435\n29713 53874\n42991 47708\n28046 69837\n8887 43719\n6300 61197\n80227 80584\n29102 62600\n19181 64404\n5179 70101\n11480 59124\n3464 46054\n2939 87456\n59773 83907\n16619 62010\n16902 70345\n43493 47796\n10109 48003\n24508 47585\n69766 84180\n57476 86476\n35088 80036\n70836 80952\n61698 68740\n6934 33659\n23774 43125\n99 10872\n17284 49211\n64352 91046\n24505 44043\n6848 82316\n69888 79286\n2077 86498\n74685 82372\n13926 88790\n22176 45199\n32288 45394\n40477 89124\n16913 91676\n3828 92786\n12995 86913\n46010 61193\n40209 58245\n64271 89164\n40276 56613\n63077 89175\n12842 90754\n21422 69122\n39420 65384\n16724 72818\n2360 46707\n34422 63320\n31711 56861\n51001 86115\n5755 19222\n5809 14407\n23576 86389\n21834 22151\n4773 66884\n4167 77891\n26437 80687\n14320 46294\n64365 84023\n50054 66526\n35494 71627\n41255 91452\n9748 33265\n31881 38611\n10149 15708\n10372 61576\n52464 75172\n34348 43551\n30322 66509\n19961 45522\n38997 48805\n9882 47046\n69452 71372\n39764 79747\n48891 67970\n31373 33276\n17838 74473\n84726 90506\n10454 46751\n25834 86525\n5055 28878\n24961 25913\n10425 64327\n6883 41686\n20572 71998\n50608 55076\n14993 63815\n18605 52307\n19104 36959\n49820 54045\n11892 18964\n26470 34825\n46257 53278\n27847 68379\n44819 68639\n13187 20271\n36921 43209\n66414 67659\n23091 72973\n72834 73406\n44961 83464\n81162 89857\n45308 79358\n35644 49371\n4356 90000\n37161 59389\n58436 83043\n39751 63296\n21530 52913\n29802 50655\n21663 26432\n46660 57963\n7198 9888\n6039 17953\n27862 70888\n9990 58294\n21099 43137\n30067 85086\n12751 77384\n36955 90949\n8346 73526\n62530 89422\n65012 92821\n40877 70820\n14623 51585\n29319 46966\n3893 23659\n9384 88454\n27015 59485\n11167 42887\n12396 76350\n20202 28305\n39003 72705\n40721 80573\n50169 89408\n30671 91879\n64573 66168\n32510 37668\n12393 76469\n50957 81603\n36749 48619\n5897 22313\n28126 78744\n26431 26484\n1526 86814\n42029 51176\n31833 60185\n45848 61050\n2802 18604\n2858 32262\n63488 79788\n29289 75163\n57957 80605\n55651 64220\n7259 20632\n30385 50870\n32320 61125\n5799 86337\n68416 76736\n76010 87737\n5773 88143\n5124 72597\n81000 87446\n13094 55521\n23663 61397\n2522 77649\n14731 54246\n66719 90211\n64499 77809\n38422 70987\n39099 48958\n37782 84906\n47829 76077\n9958 46465\n14684 20347\n34556 92134\n72395 88035\n69920 80042\n43964 74002\n33006 48153\n53743 89953\n66005 77711\n1222 85070\n23734 26338\n7007 19774\n20186 58922\n8862 27831\n46566 85895\n37370 65694\n34991 40299\n22986 70296\n53733 78942\n28779 33806\n3156 76750\n26779 56056\n60852 78127\n14165 68741\n5964 22005\n26463 32823\n45086 50378\n40876 77027\n52677 54339\n4510 52620\n6776 22571\n62713 74797\n76269 92370\n38841 62148\n33438 43295\n14877 17020\n35319 70188\n32943 70212\n60031 78636\n24261 26657\n85800 90328\n6732 68818\n7844 9259\n77182 87096\n3820 75318\n18467 85639\n82231 86511\n6683 10678\n27472 79972\n82903 83468\n8685 31748\n7684 31369\n23296 92597\n5934 14258\n1074 59845\n14605 33204\n73355 88759\n49498 71702\n19726 67617\n40604 56326\n42244 85259\n32189 47377\n17688 46502\n74461 92350\n45483 87597\n4471 26583\n14888 35283\n6811 64096\n3327 39184\n29342 60171\n13976 60022\n10708 34990\n48388 87766\n31326 75448\n5713 41284\n74274 82433\n70352 85660\n33663 82890\n54532 87524\n77526 88516\n26160 86357\n40132 78552\n19852 22292\n12192 21878\n25823 48460\n309 84163\n73747 91208\n582 12175\n7669 88352\n36122 64485\n3880 83556\n12522 15601\n64667 73308\n45733 64605\n23433 57295\n52308 84250\n7891 82245\n51438 56703\n43119 91135\n11080 49264\n5618 76749\n15541 72890\n14999 91451\n63848 92718\n34091 90259\n31675 41202\n45337 53784\n8241 58017\n47137 75502\n39671 72643\n3607 77486\n31281 63542\n14590 79597\n23507 47073\n52890 62532\n6034 58563\n22869 63569\n29581 69842\n47341 62349\n21630 80158\n73761 78409\n19628 88779\n12403 38631\n13221 18721\n59757 69467\n3649 55721\n63599 68410\n27700 71948\n3541 90026\n36340 59888\n34456 84065\n49710 88519\n50996 65322\n33149 79156\n31662 46573\n47599 61012\n40444 48735\n35063 85170\n11269 48353\n14768 16566\n31803 74718\n24448 34543\n14241 28087\n14403 50764\n4651 72136\n34402 81590\n83923 87531\n39625 69228\n3952 8800\n7205 30336\n62330 90841\n78437 81541\n43101 55416\n59180 63387\n63795 89653\n25623 46711\n5118 70197\n29788 30066\n5308 70926\n62200 69780\n74833 76185\n52418 86534\n45804 51072\n4267 18370\n2691 9393\n11000 17228\n13059 37051\n84546 84685\n57044 71573\n52095 92341\n53923 76698\n35776 48892\n45921 90790\n6685 38019\n43133 68947\n21724 39446\n40207 52286\n32497 78207\n34898 84452\n12279 35892\n15633 18809\n59284 76232\n30022 64850\n39108 44118\n27355 78630\n6640 63027\n41339 51195\n146 9490\n37404 82968\n50229 63465\n41978 92855\n2701 89678\n2581 60531\n17155 33593\n26093 26567\n6349 80117\n34238 56176\n10470 88533\n55597 86013\n85176 85646\n38583 86593\n48839 70632\n60939 65611\n11649 19928\n37519 92168\n64751 77168\n26448 92321\n3550 78472\n46223 55940\n59507 80549\n484 75686\n27926 68043\n69889 90118\n55515 80562\n41601 43997\n21656 38510\n55193 59824\n33504 85149\n6093 30712\n3340 10927\n31091 82024\n12698 73675\n8778 25855\n53080 79330\n68571 72128\n37195 77627\n52480 64200\n42046 47432\n21686 73718\n47813 85067\n75050 91014\n24006 61668\n79703 87361\n22834 37791\n34176 41669\n4106 32639\n27345 39125\n5961 51508\n10718 77380\n86720 88655\n65742 76301\n59513 63578\n37643 87473\n16669 81648\n9775 87837\n3409 69565\n90002 90382\n28902 38305\n32011 79458\n21736 73885\n65754 78708\n34175 47205\n30643 92362\n135 10963\n69895 88517\n47657 85033\n14695 45707\n9368 53697\n17452 38147\n43128 51211\n26045 58359\n3176 87792\n4492 37988\n6249 67322\n3341 15504\n46249 91181\n10878 62473\n2091 52046\n29027 61785\n59390 67492\n4772 26025\n6898 45350\n45795 57069\n67530 88498\n29989 70922\n17501 44952\n5762 51655\n14808 86473\n30414 72901\n3156 83984\n51397 76909\n16551 39929\n28488 60814\n45213 90957\n7099 10287\n6832 84414\n70344 71665\n21013 59172\n12658 89761\n13092 35668\n16871 82288\n51791 74194\n41881 77022\n40516 75343\n3647 29847\n2014 92407\n26860 82060\n1780 27360\n15357 52194\n1109 16278\n11673 21361\n7891 26662\n4167 40798\n54734 84092\n28395 86211\n7916 50692\n19008 81058\n33973 67406\n335 21327\n6949 14530\n56470 83831\n25005 36645\n21946 78063\n44010 44238\n32875 42296\n71714 89920\n942 12606\n53747 75706\n26623 91025\n463 9566\n37800 76707\n6399 42891\n5852 54167\n7588 49483\n14001 24562\n2971 34099\n32989 73844\n41579 82312\n30742 53198\n19916 72140\n11609 23507\n8728 80065\n17913 20807\n83349 87763\n15369 65626\n61919 85119\n40368 47425\n13372 30885\n26785 48569\n21203 83664\n38237 38484\n21896 61772\n6766 92748\n59583 74875\n5435 50954\n19438 53248\n40971 52296\n23298 28091\n50781 53311\n1466 88743\n60579 80307\n11556 89027\n23819 45964\n6104 32005\n8693 43605\n24414 89603\n22376 63194\n63489 75160\n9824 12502\n46552 59865\n42554 89009\n23996 64221\n68026 85789\n170 4614\n37063 66499\n3509 15261\n72068 85865\n9192 65190\n51802 75265\n37333 57106\n52557 91132\n25110 26453\n27674 71527\n13085 36941\n59545 78889\n41902 90602\n8380 28236\n6011 33018\n16275 38512\n48713 82195\n4292 27529\n45086 48486\n53390 67682\n16919 70162\n51087 74723\n45174 49862\n7920 47292\n14285 60724\n19073 83880\n15030 64076\n44637 65669\n24186 75353\n18532 33018\n28509 38030\n7564 91112\n3561 77269\n26470 27807\n28112 77296\n62790 83559\n324 31077\n33351 35701\n2230 43894\n28568 53866\n21667 64807\n33037 36731\n15374 45200\n20019 28956\n62234 89294\n1796 92580\n13291 69525\n10962 48750\n39255 89051\n37316 57709\n51460 77918\n1991 20359\n29239 73300\n16556 81725\n50264 69986\n68292 76890\n32705 68627\n12034 47797\n6287 18783\n51583 64342\n32124 71600\n56714 87439\n23695 57835\n37069 60483\n49133 68103\n28635 31694\n18830 21607\n27945 32188\n10368 24079\n2438 51546\n43950 76069\n36425 80804\n71473 86321\n60560 67662\n35665 38585\n16689 53805\n15815 29388\n19405 24589\n1425 62321\n21550 66259\n22542 77980\n31968 60064\n67238 87634\n32484 54514\n27593 33044\n15125 88063\n55386 75084\n71042 71442\n6123 25193\n57459 82844\n24789 75664\n62357 87134\n31580 46631\n31815 35071\n18764 50401\n13010 77152\n25092 69485\n65218 91165\n8599 81176\n11010 90456\n26262 90329\n1223 32477\n191 43299\n31328 70469\n65666 84459\n11353 35022\n5741 78589\n36989 92416\n2633 23236\n56174 82650\n28252 42722\n44753 90577\n42242 69102\n42814 91361\n4888 31641\n44742 63691\n20878 57375\n3778 73097\n47231 86552\n8059 10370\n19691 35674\n2110 42920\n2394 12469\n12160 51694\n39344 86581\n78262 82065\n38017 89378\n57622 60143\n33531 51004\n19510 77181\n15917 36635\n42319 57621\n9989 19448\n65212 84173\n64802 88337\n368 40607\n5888 38652\n16062 90853\n19323 57944\n27937 76589\n51098 53177\n23743 35655\n5354 79405\n31104 67475\n55667 74250\n59832 71636\n31656 52650\n19709 47996\n9151 50616\n11635 47531\n61341 76578\n1542 82785\n25836 68131\n70814 84898\n5269 92102\n33483 61344\n3541 44720\n10338 23167\n34203 60359\n24696 79220\n15439 44472\n15071 64691\n66369 84923\n54760 85215\n12842 69572\n9764 76976\n8455 40958\n21328 87439\n7355 41712\n32210 75114\n16255 57835\n22277 83806\n7273 85096\n49552 84727\n12663 73667\n83394 92342\n51918 92022\n27900 61712\n53986 69008\n5932 34763\n10247 18933\n45566 89198\n61315 66515\n34620 71520\n25131 90758\n42606 73788\n84804 86448\n32374 48496\n17125 26861\n8339 89093\n48699 81019\n22876 22902\n26027 73987\n10112 56983\n64560 75299\n27893 75187\n23650 25305\n16828 40535\n17390 47250\n32303 33706\n26193 58939\n29730 89839\n55151 67304\n12494 92778\n12488 78227\n71058 76102\n13963 79674\n10753 23812\n21254 61384\n45039 79379\n20848 26580\n2347 87127\n49243 80370\n22483 54309\n18214 42733\n31961 80854\n967 83817\n52181 87624\n59924 75405\n39381 55116\n26857 45368\n5859 21820\n958 42436\n823 6942\n10855 13739\n81145 85810\n60569 70094\n30183 78303\n33817 52248\n29843 70693\n58167 78445\n1305 40274\n1479 25372\n11298 68378\n6348 50166\n8910 22356\n25149 53512\n48334 77874\n46581 88309\n16479 26558\n11438 32303\n3386 46530\n12525 71979\n59840 65711\n11470 54415\n10639 79429\n38348 45522\n34770 86058\n41535 47110\n78046 86280\n63 40641\n75662 80198\n18307 66193\n3223 19241\n5583 38771\n14309 81573\n16874 17183\n19805 71686\n5387 79535\n10090 52524\n2301 77082\n36628 40714\n13218 91868\n41779 61543\n32118 34814\n57287 68936\n40299 67312\n49222 76035\n49002 80290\n12522 59016\n19165 71220\n34843 47592\n78474 89756\n30100 35990\n38405 69324\n14464 61179\n20420 73471\n50599 73544\n27672 92754\n58278 59124\n1227 66550\n49659 59918\n45540 63892\n28349 69748\n1731 28269\n31519 60665\n33931 80275\n21857 24812\n28711 92850\n59410 74186\n38241 74360\n18519 56287\n67265 82626\n66806 89513\n1634 59274\n30110 88266\n29615 46106\n29331 58380\n27182 79581\n12431 64476\n10156 22706\n72241 87073\n19734 33332\n51043 77885\n35246 41680\n1924 37632\n32800 45424\n37118 52739\n6543 20249\n19338 19426\n42139 76021\n74588 85673\n27754 78650\n61667 63276\n3584 8510\n73280 89648\n59383 66861\n3468 49485\n11490 38646\n10350 80061\n76621 78665\n11764 89450\n14084 67008\n38294 44031\n13676 86826\n23548 82613\n51526 90144\n52130 87396\n46193 47826\n3819 83221\n26014 36048\n16123 93069\n363 16262\n9913 22754\n46300 56914\n47441 58039\n20543 27951\n24858 54855\n49834 53836\n4575 41961\n9470 84872\n43098 69066\n23842 29847\n59898 90626\n19385 81505\n9184 29059\n23756 25016\n55882 74113\n69461 86429\n21271 45841\n39072 83125\n11540 28570\n67404 87747\n33556 39364\n62074 92468\n17310 19859\n51049 59421\n18010 39061\n79924 92168\n48912 90920\n36496 85545\n83559 93172\n10050 58632\n59476 64386\n52619 72957\n5201 68411\n12118 13551\n5783 66815\n9537 37366\n32293 45726\n4243 37490\n25166 47533\n19325 57143\n15470 44719\n36474 77664\n12935 66745\n13507 71880\n56927 59548\n34777 66910\n54291 77688\n10108 51267\n61472 65380\n49637 76796\n1013 92803\n37126 49485\n28332 58074\n40908 54814\n57662 62164\n69492 74173\n5068 29378\n14644 61432\n12083 83081\n35574 68134\n12777 60752\n14191 82818\n9157 79125\n28362 43178\n2802 40360\n62387 87574\n36055 57265\n38143 49197\n14420 77990\n60766 63314\n52543 82520\n30668 78030\n737 16455\n36828 85731\n38191 59146\n39571 70972\n40351 90464\n52086 63780\n13177 81143\n12020 38377\n18192 41269\n11824 80551\n3830 76124\n60339 70102\n2126 8270\n63429 90666\n26796 60823\n51032 74483\n45814 54167\n32593 51598\n34981 78124\n37957 59431\n81049 89829\n4104 26203\n62273 63212\n48403 84138\n7344 56209\n21925 85764\n5407 44910\n10509 42646\n6778 35552\n7225 19180\n42752 92133\n44671 79863\n20666 32930\n58321 81443\n3339 11196\n60998 67427\n62748 88236\n10931 13702\n67079 88318\n63013 66262\n53165 75968\n63193 75115\n2254 74649\n29104 86356\n65446 82914\n876 45751\n10410 14720\n47506 53571\n20793 92152\n530 53688\n372 57862\n11223 28055\n22804 54912\n68027 73347\n17724 18557\n40873 41802\n36510 52644\n7598 16091\n7077 24213\n45902 77736\n31938 75811\n8331 88711\n23746 34764\n19052 39604\n16777 58348\n21188 85189\n36901 51159\n10460 52001\n32881 86982\n6488 32510\n58280 71420\n306 36659\n8848 63344\n46530 63922\n1938 16738\n26528 77139\n17923 48891\n88930 89346\n35031 68009\n13209 69414\n43088 48163\n44770 87935\n57465 73864\n58204 89258\n20363 73711\n24553 36202\n26345 44215\n28626 38462\n10936 16198\n46099 77817\n50033 56127\n38952 45770\n60062 61561\n18104 35661\n6325 30731\n68625 84100\n60727 65109\n60550 80951\n38204 84600\n51435 86854\n38980 69898\n54598 82732\n7147 90250\n5162 13766\n603 35334\n21384 31300\n3064 19869\n9598 11604\n8285 28890\n9703 27544\n3662 51122\n38852 92947\n60119 77345\n30861 58819\n817 40397\n3585 21642\n26631 33573\n26394 89951\n79765 86722\n78650 86026\n47710 65713\n42288 70518\n16481 80485\n52514 80108\n58456 80476\n21392 83522\n34861 60397\n28388 29874\n13174 30899\n52262 66353\n30597 80876\n42944 54825\n9583 21915\n18728 24408\n41330 68736\n54593 91982\n41040 54117\n3452 42223\n65440 86741\n30052 59657\n43980 78866\n41954 71206\n57220 61342\n45284 60572\n5339 55115\n4256 18540\n25716 55524\n452 2778\n29420 82436\n45584 85964\n80562 82729\n13203 90923\n49343 84871\n70002 74327\n69008 83075\n46747 73489\n58845 73005\n16325 46208\n51780 56446\n10627 72174\n31863 53169\n49813 83031\n43102 52079\n8059 43543\n1162 84435\n30570 71315\n63452 89319\n30580 61576\n28117 92834\n9426 15811\n63394 87062\n33010 67045\n57343 92111\n6599 58139\n58498 63841\n44325 92458\n9412 55398\n47618 56034\n25740 71477\n67762 85967\n33814 70579\n8605 24078\n4896 15591\n19415 29763\n29696 74056\n59983 83624\n58329 91945\n32086 72554\n28554 77098\n32559 34402\n54661 57655\n22123 50992\n51333 64751\n23871 57618\n17605 43674\n61496 82953\n14948 38951\n3032 39865\n54097 54498\n13488 52744\n44853 78458\n21348 24311\n6270 32605\n62805 89353\n26490 34583\n58528 90318\n2740 58848\n41000 56630\n75249 79229\n17279 62625\n17825 54991\n31430 59829\n12052 72295\n58941 62318\n977 38773\n59265 69533\n11822 87963\n59160 69347\n30096 32635\n11745 46195\n37079 37978\n5302 35430\n58989 73283\n24216 69449\n15178 92180\n73141 82018\n32190 78062\n1848 43320\n33305 37472\n10806 28559\n33719 61407\n21573 53076\n8721 48006\n84539 91952\n18734 28053\n50270 81947\n40552 88680\n18768 55099\n35798 46346\n37882 92329\n21789 53461\n25386 31607\n12332 92205\n5061 11506\n28378 68486\n15860 91335\n36303 45819\n13201 50856\n39697 41947\n25359 46853\n67047 80688\n34337 51872\n12255 61092\n18171 42066\n4641 20147\n5469 70592\n9650 86173\n40984 70214\n17902 30139\n46547 59960\n23284 57989\n15967 53797\n68847 76930\n9321 21913\n39003 73335\n46481 46667\n43904 64739\n36579 77953\n67032 78972\n2584 67408\n16494 30333\n41389 73875\n29643 51205\n44640 61699\n8709 34879\n10074 17251\n66489 85797\n50890 70739\n4754 8853\n56618 61801\n5951 72690\n13457 90450\n38664 73869\n23423 31700\n36683 80620\n4211 91853\n1868 4698\n15993 87765\n15121 25288\n19389 34248\n61271 81802\n75458 90079\n22725 58287\n58049 65077\n68233 74809\n15369 45311\n62835 85017\n5829 42527\n26451 47149\n56796 57954\n5614 56302\n17916 78086\n28697 52033\n14328 23181\n31594 90999\n9370 35749\n28855 52235\n49470 58717\n7790 41007\n48193 81719\n16139 75412\n4720 64724\n27346 32340\n72173 77335\n5530 34795\n22759 85881\n32438 82436\n27745 92699\n47261 66751\n71969 86485\n23043 80988\n19441 40916\n54487 88629\n65911 70652\n43558 71406\n6903 63632\n52020 83594\n64066 90874\n73804 77009\n13852 50007\n27671 65070\n72742 76534\n12297 31283\n37161 42189\n40834 74572\n6921 53808\n13355 21401\n20962 51445\n6031 61148\n53893 57528\n20790 92426\n70944 92038\n19429 77898\n48317 90843\n22698 71792\n43945 62188\n7403 56380\n2800 22638\n61018 76007\n1890 42326\n21542 55185\n16306 65784\n3420 25278\n10984 53152\n19649 84103\n43091 66293\n61653 79046\n14108 88867\n565 6287\n12091 85658\n26 83078\n75758 83409\n15711 89472\n14734 16168\n43487 51053\n21003 36625\n31383 63664\n25269 43187\n33910 65558\n23276 69087\n29308 73996\n11942 20333\n26162 45689\n23777 75845\n6611 55306\n58566 79325\n33414 54753\n32260 69344\n29832 31448\n42295 84727\n7209 60659\n23494 31120\n91195 92197\n48016 49139\n40194 51496\n39051 84673\n28446 84190\n15751 62843\n28387 39537\n17517 23564\n3385 86692\n79552 89988\n1289 59193\n70143 90933\n31570 79320\n35274 43707\n53929 56237\n27228 65864\n26305 50971\n4664 21001\n45187 66411\n9063 52875\n83543 89755\n3351 9703\n77372 81732\n9514 18215\n23888 65049\n35542 51288\n74940 76452\n3996 42159\n19577 27481\n1282 87931\n8636 29268\n66741 75137\n12564 61643\n22473 90631\n55741 87276\n28528 83546\n22762 82351\n17296 37185\n8314 15496\n12754 81479\n15186 35485\n48515 86940\n36335 61150\n13374 66249\n45728 57397\n34587 38122\n19984 24562\n1904 21293\n24929 91345\n10494 50407\n55300 74776\n41261 62829\n16180 74678\n10101 11132\n36899 71617\n25424 48796\n12671 71087\n16733 49901\n48085 72836\n48079 87629\n325 70189\n68031 83393\n51358 61059\n30275 66061\n25403 90414\n27925 46353\n27290 87316\n47517 59199\n42229 75338\n49876 53812\n2466 91726\n38226 80131\n76035 87614\n32764 38180\n51027 69048\n4697 20790\n5439 9705\n78060 83491\n1879 69442\n35443 80130\n41234 58182\n28083 75515\n2874 92279\n31598 85116\n3421 89927\n16196 35985\n40920 64895\n82447 87076\n17183 47634\n121 15254\n15744 88654\n16742 17913\n58478 87359\n25538 48496\n4158 73739\n29706 87027\n37523 53587\n46027 85466\n46513 49574\n27425 31202\n43932 62188\n20934 63484\n3328 5057\n9874 30385\n443 65116\n7 90252\n51121 72541\n10664 43355\n530 50010\n46763 70876\n21791 79246\n52411 59932\n17134 38893\n25860 60004\n26907 63764\n73806 83891\n33962 53518\n13472 23366\n16043 19027\n72250 80866\n56104 92998\n17157 49892\n30443 39010\n71964 92501\n29816 77358\n7284 16978\n1615 82406\n29956 50880\n4098 8259\n77073 83907\n51022 68856\n11 92739\n5381 9802\n39450 89545\n2336 58275\n9694 66674\n7983 27123\n25780 90977\n33403 88580\n16797 77574\n4836 18830\n25031 85865\n22450 26345\n47716 62163\n71630 77829\n20687 64517\n7230 91434\n72919 89371\n81215 83193\n72458 72831\n32370 83845\n66317 89256\n61920 66106\n5975 22525\n17843 61495\n11500 15565\n10897 37677\n28380 74222\n56825 61194\n26546 41456\n29294 48719\n4016 57678\n703 25490\n33682 75684\n14883 79568\n2493 11067\n59729 85143\n39079 66180\n38239 50180\n22012 80605\n44692 71242\n1910 60853\n37528 48288\n3649 23373\n16453 76930\n11148 76573\n19591 38048\n39652 65398\n15011 26351\n17394 75407\n4379 54545\n33687 76018\n72719 76632\n32850 45466\n3383 76192\n33135 84376\n10366 58248\n79619 83868\n24915 72051\n72673 88358\n44805 61196\n11786 14904\n64898 77677\n65784 88300\n28732 79032\n3098 79229\n3013 63456\n26073 75888\n5064 9570\n25278 87087\n34869 47167\n14498 60287\n59718 79174\n1767 9244\n44433 61833\n28649 87218\n49262 62382\n21516 65318\n52323 55281\n11488 19856\n30864 85155\n25746 33542\n7258 74641\n70341 78262\n43711 92732\n26094 53682\n19295 67668\n11883 50511\n33987 38802\n6926 76552\n12873 77703\n1461 39497\n2891 23524\n21680 29301\n55698 61494\n31525 88581\n27550 31162\n9648 64621\n42833 57616\n41208 85911\n63652 87273\n7875 39334\n10747 24598\n79329 91016\n3267 59603\n3938 57900\n42462 69501\n62465 70289\n86735 92783\n27170 77957\n26455 83089\n6471 46197\n28287 91840\n20983 34597\n86586 91689\n83487 87450\n14674 43518\n62791 72573\n61694 64061\n45301 51281\n3095 53088\n32771 39681\n1544 12385\n21777 40126\n29137 88153\n44912 58113\n32044 85028\n18320 25130\n18783 89792\n18482 47677\n9962 92198\n4433 88880\n188 70560\n45819 61958\n10306 47042\n26319 32874\n8590 34919\n9601 67162\n10071 75763\n9701 32423\n66264 92501\n64716 83964\n4051 35999\n44977 55063\n26395 62258\n12050 26659\n84676 87664\n4239 35779\n48084 76285\n65568 73074\n37687 72820\n33689 55008\n1118 69001\n16585 88568\n49244 73007\n11370 43781\n65113 87968\n3774 89453\n34756 37344\n2297 70481\n56738 86809\n40298 67594\n43678 83856\n4889 21801\n71102 89163\n73031 83569\n28379 76060\n46031 79975\n18634 90705\n47671 59246\n55432 75456\n2788 75801\n17515 89473\n27086 78736\n32747 80298\n35254 77928\n28431 30172\n2314 26391\n5174 9868\n49721 55618\n75343 89407\n5780 25243\n62027 76130\n27093 80211\n9846 56307\n8597 82340\n53221 63840\n9120 57119\n2213 70575\n21960 48821\n40741 86651\n64916 79910\n11441 58449\n3613 53905\n80591 82344\n47189 73660\n7671 16053\n17088 23173\n9580 52205\n19398 67312\n42328 60873\n48400 90730\n66144 70866\n10517 23897\n18776 67747\n10748 28264\n1648 6895\n8979 72157\n37641 85632\n63796 92945\n19635 23612\n30093 46483\n5042 81643\n7043 49365\n19581 93010\n70312 74186\n40159 41479\n5338 59630\n7734 31839\n36886 42966\n26922 58140\n15814 81228\n35596 43311\n32369 52099\n35011 47579\n7065 41099\n72910 87027\n29840 74633\n6130 52566\n2754 67201\n78820 81336\n16446 21032\n39440 45193\n67 29912\n24008 75462\n5787 29595\n42788 53890\n54174 73732\n31499 50468\n13794 66219\n7163 91139\n6358 32427\n1538 57163\n45367 90405\n54377 68263\n38308 61014\n11109 84607\n9281 48189\n32503 49306\n38137 65271\n2737 76412\n74267 89205\n33550 75909\n77661 91556\n25597 80426\n35108 79840\n16505 26036\n30054 35642\n34948 55391\n16761 80999\n46257 54485\n9331 18696\n5154 19297\n13224 73103\n60596 81717\n51409 84683\n58112 72681\n55071 75062\n36164 58042\n13812 16076\n16298 36344\n18894 52545\n28151 64181\n24707 58145\n68313 82341\n55401 75521\n80212 90456\n13338 51764\n30371 43864\n78254 91047\n26048 31720\n46068 62954\n1769 29717\n3724 51268\n11941 71690\n37560 62452\n35146 83282\n39982 63217\n34879 77158\n28502 71963\n61258 85495\n19297 45320\n13617 30324\n1649 87911\n58013 75476\n8427 89802\n19519 92567\n72561 82876\n1389 15909\n10603 14724\n24473 50493\n5478 58059\n17294 85272\n1634 41623\n10761 27216\n38885 57898\n17808 82943\n19980 36707\n53597 82660\n2807 46210\n21586 66354\n27977 64066\n164 75149\n2338 91105\n14039 78684\n11393 87459\n51300 75829\n16470 68220\n37792 67952\n44838 85723\n4915 34856\n55082 72962\n15388 81202\n4518 27940\n5933 28056\n6474 77743\n34251 49560\n16753 89273\n3661 28056\n29997 42122\n18657 49777\n45746 75917\n60566 75740\n27439 73710\n26391 28913\n31573 54611\n65599 68021\n4624 26731\n40123 69012\n20267 47589\n12009 76631\n30899 74929\n23002 75542\n1031 5452\n13700 56733\n51170 66862\n74149 84185\n13163 24206\n71689 75903\n51685 54626\n44307 65277\n41136 47027\n6496 72194\n37389 68486\n65897 92985\n39130 66998\n10854 83576\n1586 27173\n31330 31579\n69333 82401\n90349 91588\n30867 54141\n41502 81405\n16968 28934\n14951 75516\n3801 70533\n43123 58693\n54203 60871\n20601 45887\n20807 82504\n31257 88017\n10577 58659\n54882 68630\n23931 91699\n46065 78783\n25336 60262\n33082 57833\n50264 78849\n69572 77164\n28234 75343\n2685 74373\n19409 28341\n25726 28681\n9011 10523\n347 92137\n14903 54995\n57157 66080\n21477 65987\n11789 77009\n51872 55113\n12857 21276\n59387 59569\n58730 67272\n36114 48206\n40416 47249\n34647 47677\n51812 61664\n44112 66574\n26194 69711\n14477 61430\n39143 65207\n1964 89852\n3044 48934\n9602 91555\n8183 67202\n82472 89304\n53859 90614\n23804 37004\n29634 48925\n34362 62316\n2994 69531\n39284 62142\n76732 77287\n13150 13632\n32018 49497\n30573 54718\n23933 87588\n23016 44396\n85862 91560\n29549 71817\n58461 91084\n34497 66976\n11182 62016\n20848 73313\n34739 76186\n16294 60378\n46595 74836\n3460 84863\n36343 44369\n20432 42884\n27686 41398\n2633 31122\n395 52145\n22541 79954\n17082 44255\n14808 37036\n49190 72927\n25386 60829\n19981 46256\n31546 50637\n10499 30505\n18865 21483\n13542 92605\n14078 53268\n849 54740\n76359 82221\n22717 23075\n5870 87759\n28501 36093\n27014 52107\n23866 87942\n58560 70036\n71820 88455\n53864 84713\n44784 51636\n42419 70356\n25248 34631\n48587 72493\n38413 69167\n9730 39689\n58317 89413\n22465 23440\n51443 85479\n39323 76647\n36001 65169\n52126 69196\n10959 63977\n2424 86794\n10272 52108\n49565 74004\n7975 42169\n57880 72845\n41895 83426\n63183 83617\n32219 59236\n19495 22105\n71932 79820\n46584 83483\n11914 51021\n18340 92957\n27810 34686\n19807 35960\n65073 70825\n48147 60689\n61826 88423\n12632 65636\n75459 79089\n3869 25707\n46839 85892\n32842 88600\n11279 17605\n3379 8605\n29873 41375\n80177 81799\n66796 77056\n3941 73327\n35475 89708\n29902 39747\n13915 79054\n62431 68026\n47872 62756\n24660 30220\n28052 47090\n12859 42254\n6499 62652\n90130 91842\n6182 21567\n70070 79722\n58969 83481\n27011 50430\n63311 79947\n92528 92541\n61776 88409\n17701 51432\n6545 10224\n695 46769\n9787 70579\n60337 89622\n50502 62863\n41290 88163\n65327 80684\n8889 54524\n1925 51416\n46097 80052\n46796 80325\n77023 88860\n29455 39438\n18633 19027\n32124 53735\n40481 65970\n25625 48346\n31032 54876\n50247 55465\n22268 54645\n46832 59860\n67028 73848\n2554 10266\n20740 52358\n36594 39154\n16358 65465\n62952 79473\n560 64772\n88314 88750\n30752 45104\n26200 64082\n61749 84927\n11650 20877\n21503 43887\n53731 54975\n65583 90132\n63074 85422\n48688 67295\n50930 53688\n2792 31944\n55070 63178\n40506 73250\n46476 84813\n3458 82704\n16362 55549\n14812 37740\n53138 84246\n27284 46110\n19354 90908\n41378 51997\n30229 88557\n8234 21876\n16291 40925\n57933 62869\n9610 64393\n9661 23291\n9035 39406\n12014 58798\n73841 78191\n52471 82900\n64125 91323\n3902 65539\n68753 73514\n44734 89707\n51428 52683\n3717 62161\n918 52319\n19452 40921\n74668 88860\n26598 64870\n30632 32114\n28409 91543\n35778 50467\n20983 91568\n20364 49631\n139 840\n64917 89460\n43004 89861\n21997 54480\n61141 66796\n29324 40196\n12875 73971\n1545 43941\n54121 79430\n25612 77942\n30928 64911\n4740 89391\n54278 85419\n40781 62827\n29545 91423\n767 59866\n47478 58933\n2906 85298\n11658 22634\n18741 36044\n4445 6563\n7644 12007\n50662 82767\n8263 30770\n17735 87996\n35701 64591\n23379 37823\n6631 91382\n43446 86914\n8933 19981\n33448 44116\n7157 23733\n51775 53915\n64282 71078\n52520 64722\n7340 87875\n26243 67103\n77780 90060\n66384 77149\n4921 75613\n4207 58769\n18831 49839\n18891 77811\n51937 90901\n58963 70406\n31823 67451\n21470 87066\n10367 27454\n27958 51800\n68594 76117\n17787 38552\n38635 83384\n5717 60727\n11046 21851\n7064 57833\n14489 84692\n6554 86624\n23664 32431\n15171 17691\n41848 48822\n83358 92268\n5882 48617\n21013 80299\n1631 72396\n56931 60822\n5844 66103\n19991 78103\n8284 9827\n60401 87015\n29875 34455\n7116 10338\n10435 81661\n21511 24356\n37096 87323\n25522 58342\n22861 78245\n17712 32738\n20053 69907\n69583 79839\n53441 79981\n3090 22844\n61194 65390\n12281 37067\n20357 23243\n12793 23907\n3392 6490\n90708 92752\n34929 55571\n19673 22255\n12510 74461\n50954 81886\n10474 91513\n21480 52290\n32814 56937\n77877 90500\n9156 67627\n22947 30596\n9738 91290\n24981 89348\n30631 34222\n4460 43889\n7357 47563\n2687 48389\n1304 85005\n62252 78747\n41925 78924\n30693 81131\n21672 25022\n30000 83432\n26715 85946\n13425 83220\n39176 45164\n23871 24685\n44821 73978\n74500 90199\n12050 83633\n39425 83343\n78400 87820\n80405 89065\n39509 52363\n52504 89365\n2975 9065\n38340 84228\n86493 89378\n10424 89760\n18171 37745\n66522 88713\n541 45735\n16399 51939\n30952 58806\n13239 80190\n18227 87607\n20300 23339\n903 53212\n20631 41461\n13144 26145\n84530 91802\n50386 79258\n64328 88052\n2494 82426\n4672 16136\n77027 89375\n5278 19096\n15405 85258\n45803 86065\n19935 71562\n86313 87700\n7772 43623\n53602 86875\n24197 72999\n33686 51958\n21403 62129\n20157 70855\n22654 79733\n53977 82177\n5833 27353\n2274 77603\n9078 55541\n8607 17745\n50011 62039\n17037 32893\n63836 69260\n53639 66593\n13422 67507\n7753 22065\n72799 75063\n14784 27986\n57025 69651\n42455 53070\n49834 70357\n50092 82963\n22871 43289\n2874 31809\n35665 51337\n58562 81272\n23543 70518\n19025 23043\n49453 58986\n1075 79099\n15641 90961\n6982 21824\n24380 33402\n26308 90856\n36258 67961\n75291 82776\n11277 42142\n32144 66732\n53535 73128\n72113 73675\n64186 81413\n8939 15816\n7991 46342\n53738 84827\n13526 33980\n29542 61634\n15092 67544\n7287 39548\n61538 92274\n6149 59543\n21289 87068\n5089 84995\n25975 65318\n69815 75900\n11691 77585\n16397 18943\n79907 90388\n58483 65959\n18612 36715\n2188 45525\n36316 86886\n39371 55999\n41055 69072\n9759 54244\n30268 32806\n63129 90733\n75931 82051\n27388 34416\n56865 83994\n65613 87820\n2489 85018\n7620 26980\n1154 88324\n16151 91139\n35997 75659\n42599 92173\n59216 80102\n53186 65447\n73701 79135\n40179 53522\n2901 48962\n26236 80008\n37667 86941\n28553 85692\n59076 79726\n1639 17752\n3305 5230\n48984 60646\n52991 57759\n2040 72846\n16267 76772\n23299 83592\n7197 64091\n9556 10230\n62258 68561\n1491 33114\n90553 92298\n38327 76689\n45299 81872\n15663 57129\n15134 37726\n19076 91663\n38970 83514\n19355 72512\n26038 28558\n53388 85118\n22653 91812\n18324 73002\n34042 47978\n38081 83681\n11127 92865\n59637 67503\n9576 55185\n39570 61641\n7162 16669\n41400 59610\n13406 34845\n16251 66528\n17135 75926\n57653 79482\n38320 48008\n68939 88362\n15305 92336\n44478 62914\n3737 21429\n28332 91634\n668 43029\n22597 49499\n6861 90444\n28943 71329\n31458 79487\n662 73825\n6621 57312\n8646 26862\n42090 59272\n24040 37734\n25206 28262\n9565 52898\n43688 84101\n613 79298\n50449 65056\n29047 49536\n36509 42860\n21631 84152\n195 15776\n71453 92735\n25377 33838\n809 82100\n34325 43780\n31287 80985\n26628 50919\n9722 63125\n25694 40488\n33913 61463\n47012 85736\n27966 73169\n1628 89200\n1407 85178\n20370 86493\n32315 73167\n56499 76073\n44748 51373\n48061 86967\n7654 32461\n40487 73899\n27619 90802\n43625 77469\n34490 50816\n6911 68405\n18459 42245\n23465 91058\n74246 86815\n15382 88825\n75107 81064\n36325 46837\n72158 85764\n57978 62655\n57181 63812\n58642 69484\n49849 90321\n35458 37811\n84504 85182\n12278 63233\n52940 85662\n4697 65743\n701 67865\n44680 61066\n18217 91537\n23594 55333\n14974 46714\n38179 78904\n5358 87787\n50914 69244\n15049 20286\n57861 87963\n13077 87418\n76929 90788\n10723 86597\n71487 86175\n21417 85783\n10429 92927\n67811 82527\n69002 79650\n10078 56552\n22480 50588\n7023 9582\n18869 20606\n44700 85903\n12116 78872\n3833 57455\n9823 63520\n26591 66911\n42215 46103\n24654 43137\n12412 68308\n73855 82816\n5003 40284\n48703 63137\n35647 56431\n17907 59072\n43009 74150\n29126 63270\n14310 15482\n27057 37643\n91463 92197\n36838 54894\n9047 68410\n7032 88141\n13895 90668\n17277 62005\n29053 40644\n28193 48565\n7553 85287\n10282 27779\n71666 88890\n14708 72096\n32032 86302\n20486 39965\n29911 39838\n37800 89782\n11127 55495\n18295 63736\n43231 92210\n62552 92495\n17072 36132\n45262 74985\n5021 58954\n12773 63900\n21002 65605\n35925 65048\n16941 83064\n1623 60012\n8570 36768\n20575 30123\n2296 35396\n741 59106\n39555 63678\n45783 47255\n2231 71931\n44209 48247\n38805 62899\n63348 70696\n3577 52960\n931 79890\n13662 50674\n13 27156\n64347 65380\n3816 44090\n5677 44977\n8034 61654\n5518 90064\n15545 42456\n46692 51776\n27071 87223\n13241 54373\n18167 22832\n59015 72093\n73 24472\n52770 67567\n35087 69425\n13030 85710\n10590 81344\n45421 49211\n56241 59189\n4744 40375\n37889 78145\n8809 10705\n1010 22828\n29374 71027\n3074 12355\n42896 59262\n3494 66398\n11659 27901\n41 79500\n205 33629\n22393 86380\n7019 60831\n1268 80655\n32238 90367\n48407 75346\n14891 41222\n23449 75884\n39662 64698\n10111 89835\n17813 59554\n64036 75693\n195 74832\n59784 63119\n55875 76959\n36160 52746\n31708 62497\n1719 45129\n9153 91084\n6104 37417\n12263 77413\n49918 79361\n74701 76943\n55792 64046\n975 35296\n49363 86388\n68521 69686\n46191 92943\n9882 37810\n46008 74057\n25872 62703\n8278 60851\n16601 61065\n40693 61031\n8248 42153\n4423 22566\n58985 83280\n30829 59701\n22669 64756\n85000 87738\n47412 50993\n59269 61186\n24523 27185\n32262 73375\n35706 78177\n45861 65616\n42122 55000\n2056 19554\n34388 66150\n39252 54561\n22965 41244\n56536 58445\n38121 85050\n65128 67971\n82584 92301\n11870 57270\n33456 67804\n46454 54661\n38318 88602\n31460 36086\n12898 86190\n29824 43181\n8143 66003\n12092 36954\n69137 71052\n3446 30352\n18762 65697\n15573 34227\n33608 62987\n27573 31929\n33484 60294\n50944 55785\n71193 81967\n38258 79684\n10190 13683\n48903 59458\n61548 62146\n4287 77039\n22146 69807\n34337 63980\n90364 91262\n36988 65482\n40184 48988\n13361 75669\n17931 30228\n53579 76800\n9870 68637\n28111 63945\n984 28042\n78377 83148\n39123 80077\n16729 20886\n13036 77379\n69266 92560\n37945 48617\n21810 52424\n8296 48677\n2868 39675\n5822 19226\n38563 53918\n50029 89074\n33388 52071\n61659 76140\n41565 59728\n1086 91258\n25600 60171\n4231 67749\n34710 45856\n41229 77889\n2787 79303\n20251 65399\n52653 54843\n50117 58586\n15407 91799\n349 90168\n15862 31443\n22384 51665\n18243 70546\n10041 87260\n73 85808\n20237 22541\n12174 28136\n64579 69980\n64278 92036\n13541 61006\n10494 26251\n13530 66349\n16625 74899\n77243 86497\n15033 56574\n23850 50664\n63833 76441\n77733 84340\n14461 39191\n34854 52779\n49117 52940\n41602 46329\n44380 91680\n21179 33157\n23209 84271\n28713 52622\n57433 59384\n54303 74416\n28163 43509\n16757 80845\n26298 88279\n41900 43136\n67046 84348\n67 20437\n5346 63157\n62305 68137\n32353 39616\n3275 55791\n42963 76294\n12450 73062\n43105 47574\n31268 82543\n35252 67962\n11789 13081\n5004 63460\n7304 34332\n57886 68018\n15713 89826\n42944 85350\n43325 50919\n24140 61981\n47846 80235\n34627 47657\n63135 71614\n17570 61150\n29595 68399\n40029 62040\n47849 70210\n7107 31253\n22495 65171\n7493 70286\n11418 74644\n58422 60967\n17389 80412\n5763 7965\n53146 54281\n64426 72451\n17880 27951\n18865 51358\n20843 36430\n11320 87370\n1580 17372\n21855 64891\n70329 78021\n41606 50159\n76337 83208\n25829 64735\n63012 89055\n43933 81260\n19586 25285\n26060 38865\n6536 44815\n4444 55858\n48707 73130\n5353 31688\n65990 69283\n20361 50829\n44160 55525\n8314 11074\n40275 56178\n78657 80651\n43118 68572\n14057 42899\n44676 49510\n19964 88314\n7328 32605\n12050 80903\n54081 58284\n34957 64305\n75022 81099\n7413 51346\n884 34821\n75757 76193\n25585 30243\n24499 62774\n8345 10182\n16595 54838\n28929 29836\n20483 87401\n20296 43813\n54869 88368\n3201 49753\n36050 71594\n58633 62288\n19163 67744\n7854 31790\n79264 80907\n17949 19529\n1713 81116\n8905 79644\n21654 35397\n33304 78803\n28244 68715\n16278 77208\n27862 77264\n59962 76053\n19684 34079\n36947 79097\n32949 44015\n34126 44094\n9948 41516\n78425 86137\n22893 73317\n43324 74060\n24822 61941\n8768 59838\n11250 37008\n28125 44694\n34006 59075\n38927 43732\n4173 42732\n55885 62326\n49414 70516\n32647 79151\n59509 80655\n5125 85275\n24716 38397\n59020 65174\n15381 69113\n27078 60720\n36474 91827\n5204 59194\n46100 57185\n683 26390\n45807 61203\n13741 55654\n12316 40504\n11110 76134\n60641 87342\n47612 79205\n76293 86955\n45627 92592\n11382 45062\n23975 58565\n13089 26139\n5259 92604\n3064 35834\n20308 21418\n9721 57212\n16243 83269\n53844 67694\n3693 12646\n60399 79117\n70375 78082\n37753 61729\n17313 85821\n9378 92649\n994 30885\n42195 85140\n38777 46392\n63578 91487\n19862 62086\n1654 7775\n51886 77398\n24493 67056\n69586 92290\n17041 41700\n11093 72667\n44704 68304\n72460 86822\n50675 86524\n71430 91902\n27873 44588\n19086 20099\n74779 79411\n5711 39128\n16627 84327\n12127 57651\n68040 79387\n2437 87523\n4402 39833\n46929 81831\n7222 58498\n9776 84775\n34462 92819\n47690 93168\n16132 29567\n45245 65976\n74732 89523\n47185 62722\n7815 19769\n63046 82022\n5134 40719\n3741 92707\n57745 86060\n57517 76030\n43559 58185\n2625 70503\n55611 76743\n15168 71993\n21588 65344\n59242 83081\n8735 73829\n53050 70027\n63304 66142\n57458 70247\n37200 77552\n9527 11701\n61250 77715\n33788 45594\n5674 87884\n8015 85174\n70539 72420\n56966 81994\n5803 9165\n27375 90701\n32322 33211\n25063 26956\n24157 48680\n43311 65360\n49158 60768\n43350 83952\n69981 80343\n38822 52854\n35375 86737\n28825 88186\n9570 88420\n6627 35822\n38695 85011\n15425 40981\n4252 10620\n26364 73848\n10833 36916\n24234 92107\n54277 68590\n17853 81268\n28921 32784\n11748 40055\n34106 71668\n23248 76887\n71942 73993\n33372 78515\n20075 22668\n81045 88003\n15012 83793\n44567 86771\n65055 81981\n21531 60343\n59266 75452\n7860 70837\n26869 85237\n15347 71200\n489 80636\n49012 70112\n43624 64577\n9307 11974\n30965 69570\n63665 77314\n24248 30484\n114 58876\n12645 42996\n3480 50324\n30488 55153\n20402 32778\n943 55031\n44 83322\n70003 83168\n20522 68587\n2338 91797\n77112 78816\n15750 17126\n40005 62230\n22951 65779\n81645 86179\n24749 26331\n12030 39786\n43661 48364\n2791 92641\n7763 68388\n77733 88056\n11749 51509\n55745 75517\n69039 80447\n33748 77881\n50934 65176\n8971 28157\n16986 78454\n36296 67223\n29243 88857\n46651 53410\n25665 62458\n56669 79372\n21776 40425\n8999 46714\n16184 47309\n56762 76811\n35330 54580\n10371 43946\n32908 74487\n17835 38600\n49209 90839\n8394 88736\n26797 88052\n22228 44196\n41750 86057\n52686 64191\n29042 71221\n12482 23965\n25824 73553\n32157 59017\n11706 19100\n50823 54385\n40656 91649\n3949 15792\n4701 76758\n17400 38687\n27075 76628\n57493 75668\n51723 61476\n20895 54104\n57056 69753\n64180 75747\n35127 82661\n63011 84216\n24158 74232\n24782 54678\n2727 9627\n1219 87467\n32771 39473\n46934 66459\n32611 88302\n42782 70432\n57692 58579\n55629 80339\n2953 29436\n15832 37216\n55933 75785\n42140 51363\n375 53998\n59403 73904\n20647 32821\n82055 89637\n14100 60262\n5257 35617\n60734 77253\n56800 85899\n87359 93066\n26034 59172\n70180 87140\n55842 83698\n51111 55599\n29301 83310\n27995 34442\n58256 83329\n18524 91115\n9116 79697\n50279 51008\n13588 36259\n55263 91248\n58551 76728\n21026 63628\n7713 75184\n1083 5054\n24006 81018\n19788 27840\n46492 72286\n24696 64850\n13593 52436\n4866 49165\n41901 88397\n25588 41366\n6664 24576\n13120 74438\n19179 62855\n6960 26536\n10187 87459\n11977 45299\n11686 70454\n22710 48222\n18403 45757\n31095 48618\n26682 91328\n1142 22689\n54321 83035\n14335 54588\n32895 85831\n8264 38713\n36498 48680\n3388 59765\n37901 63104\n1134 8665\n61758 62446\n22786 42695\n21254 61722\n7730 86793\n31176 44674\n890 9806\n2177 23161\n5902 27166\n74232 85067\n33685 53947\n20355 41932\n33316 74235\n6719 64826\n68918 82372\n18413 28494\n28001 38964\n9853 66960\n21381 34851\n35166 47976\n7758 20858\n5792 48448\n8714 73418\n22166 52711\n35638 79448\n1496 67745\n28551 62719\n19297 29260\n46524 81703\n34116 44542\n46188 66012\n18958 60402\n36021 58661\n17119 27600\n54409 59834\n68969 84112\n20163 92336\n47801 55589\n63729 69112\n18111 24718\n26678 82541\n38772 43155\n38780 79960\n7770 29407\n48004 71877\n59068 92536\n5668 29506\n18102 35333\n19150 66084\n66172 88459\n48965 91022\n52464 83641\n32214 57118\n35516 76494\n43653 55674\n17305 46684\n4757 22219\n222 9066\n29052 52687\n44493 86356\n14542 74473\n15010 61955\n43083 69520\n6370 34490\n35990 61917\n32441 61030\n54720 55834\n80514 84415\n6648 91498\n25341 56133\n11068 86424\n39491 78515\n67357 88497\n15527 42474\n62758 92256\n16601 66330\n22901 66491\n57991 90785\n45719 53726\n6865 55199\n87863 91450\n55731 78703\n34808 42648\n35976 73013\n58010 75713\n40368 83632\n18715 68628\n30205 69801\n8956 26787\n58224 81410\n4828 7847\n76149 91543\n38884 90967\n8974 58007\n57864 67512\n26295 87085\n16618 64759\n6547 26474\n53094 74583\n61669 73395\n29383 88993\n11063 61230\n9255 72342\n10701 42981\n11532 12127\n58672 85711\n10394 81601\n29197 77134\n8543 53353\n15284 71999\n58335 59586\n43561 67920\n49258 71173\n4912 29008\n14210 43427\n2670 10746\n6231 74360\n54785 92080\n2942 49901\n81372 89903\n19435 25768\n33549 88941\n3095 11276\n72241 91013\n12555 20478\n20435 36214\n66178 87015\n2880 74935\n15177 67063\n31884 41682\n40331 56309\n23651 60539\n18555 29558\n17164 51568\n73407 78050\n11546 51516\n42590 91032\n27163 59145\n74623 77240\n90505 90687\n70673 74554\n27965 81580\n32217 33301\n60849 85399\n10122 14740\n22592 35425\n61474 74267\n45193 60826\n75008 90172\n41641 65802\n37459 67046\n17389 63700\n45221 75161\n61434 61510\n60463 61161\n22687 31221\n4444 29716\n9766 60999\n30936 38111\n17844 92336\n13287 54940\n20667 75245\n13720 81430\n11355 12383\n36601 53270\n17063 44520\n6403 81520\n70536 93071\n12504 77826\n80336 86975\n13670 38195\n9575 88863\n22309 58777\n2217 79413\n28169 75506\n64798 67931\n7078 35318\n8003 41011\n44602 83604\n54426 55227\n25794 81708\n8574 48115\n16422 24821\n2518 16792\n24140 86285\n26716 73624\n4934 15990\n8613 89422\n7600 46543\n35221 46067\n25323 49251\n35829 42362\n8048 63531\n46971 76296\n8720 85813\n16966 51332\n25013 86118\n8325 46862\n46894 72472\n1384 86002\n37115 74249\n49685 84309\n19616 22689\n15791 56386\n37651 70922\n32893 45531\n816 85866\n64672 70915\n15939 17131\n32824 38202\n11485 71992\n2102 11055\n22680 83722\n26725 92153\n39306 71104\n56546 71907\n56110 71440\n20 8844\n53866 91314\n40314 42378\n33167 40010\n51757 72012\n63018 73837\n58150 72650\n73864 86890\n37193 53456\n14619 18589\n199 8892\n21764 82986\n45176 58583\n76165 78133\n186 80601\n74474 74693\n3647 61628\n7054 56122\n2732 89230\n38394 67535\n38113 39849\n6209 48572\n29007 46196\n30518 35396\n46350 66973\n7424 39042\n63669 89786\n20681 54303\n41777 77771\n4198 17542\n28928 90869\n8874 53806\n18248 51376\n5991 12539\n18737 78059\n41973 45501\n6812 9355\n5375 30494\n42200 89447\n45122 71671\n72113 83255\n73058 83448\n16775 28151\n34767 55591\n1873 77000\n76682 77394\n15079 67912\n1173 7895\n27845 44327\n52194 52795\n70991 82573\n19817 41904\n18609 46557\n19327 25611\n25540 33351\n3414 79283\n28818 53800\n43718 74369\n21807 76025\n56933 68100\n69082 69227\n12114 89792\n48395 51577\n5179 48010\n19248 44341\n61177 61617\n13201 31415\n39890 79797\n1784 2552\n60085 70656\n41771 51185\n36294 45439\n64905 75140\n46477 47678\n17840 29748\n44405 78051\n9392 85148\n8941 80108\n11760 29373\n21242 79587\n20011 71271\n40885 55202\n14284 25074\n42819 65099\n38048 92555\n9765 67817\n14642 42706\n36693 80510\n707 74717\n28187 62765\n8776 86278\n52656 71209\n3627 45609\n21146 85917\n2995 31904\n5429 69482\n27929 61035\n61264 75690\n24914 26579\n494 88944\n53756 64593\n32501 64428\n39404 46701\n11933 28291\n3402 37179\n6607 14609\n43008 66886\n29348 62807\n59825 68602\n27166 69997\n39408 46645\n54197 90295\n273 24478\n86688 90459\n12826 18872\n49740 71974\n36949 85698\n19539 59157\n41617 66313\n10893 63633\n6960 54723\n9512 63173\n60974 85033\n3829 60889\n23538 26495\n74303 89131\n31151 50897\n36627 37745\n5230 79504\n43973 49379\n18356 38483\n29596 86043\n1129 44237\n40219 44096\n11200 51083\n22654 62191\n27796 81794\n56398 70290\n60327 83829\n15295 54898\n10705 61990\n24155 47904\n22938 80542\n23667 90916\n51143 79428\n30588 85549\n48911 75907\n58956 62983\n58352 76954\n90603 92768\n14807 77278\n32786 59729\n6720 43094\n42777 82212\n15529 36481\n23168 41458\n15465 30384\n9562 23155\n77646 83517\n44525 86544\n4092 60205\n31041 43808\n25975 77198\n53893 81578\n5155 75328\n50819 84635\n17690 17728\n44278 73336\n75501 77571\n10383 37498\n35457 82566\n67985 81914\n7728 87504\n89336 90387\n4596 33502\n35144 37741\n20362 24872\n72596 86766\n41263 74913\n1582 84047\n26640 86737\n5622 33279\n32473 41474\n54511 72498\n88070 92378\n8846 72549\n29788 87049\n11084 73906\n67763 68111\n1831 56718\n38653 61069\n12626 69342\n21581 54573\n3186 29247\n17896 70747\n11962 82488\n10564 84105\n5841 79917\n40600 60244\n53682 91548\n53162 73657\n45314 82336\n43925 80567\n51402 84931\n86476 86773\n42850 45281\n7296 55505\n12872 36308\n8393 53543\n73118 76483\n64882 78110\n59918 82601\n9981 50516\n40445 61620\n21141 67189\n22439 60694\n23215 78387\n3911 39823\n54134 87910\n57014 79265\n2138 39721\n35452 60919\n54726 69634\n78420 88778\n20670 60754\n64283 64795\n24299 92080\n39917 64699\n55848 85740\n32379 90672\n28102 44284\n38197 63151\n1625 91144\n74552 81472\n29464 60056\n66249 76497\n47476 70974\n2494 31969\n15925 85390\n5347 14712\n3127 80663\n67393 70826\n39364 87310\n30593 62318\n48269 88659\n23209 28289\n11180 71473\n31708 73301\n4546 15497\n74343 84001\n36826 49725\n5719 52926\n46128 55865\n31287 45060\n8351 57537\n18266 72966\n12176 71373\n3663 34761\n44905 65951\n61517 88172\n65235 85490\n36982 55005\n57024 85022\n18296 44427\n32038 79264\n66507 79724\n29208 31481\n20585 62595\n8229 24853\n27695 64277\n25148 28961\n657 70400\n26588 54678\n50067 79827\n33212 50684\n47501 88964\n18237 19831\n29021 30429\n52750 74951\n21697 31482\n49989 60479\n6186 22342\n9646 28167\n15822 58148\n14294 78051\n49769 75092\n9079 35077\n21164 90763\n66043 66337\n1412 93009\n14645 18294\n21824 43608\n75302 76746\n39849 81726\n38400 75890\n51757 69699\n9195 88211\n29941 64053\n43738 77011\n28010 40843\n9116 86556\n3497 19416\n36710 38231\n10088 19208\n29661 73193\n67315 92157\n4511 44363\n62069 83285\n2863 14743\n47437 81547\n59441 72700\n19229 84765\n27823 72020\n12327 70600\n79157 86820\n11512 22941\n36449 72093\n11771 44524\n67751 68431\n19831 63298\n69319 80032\n41755 50996\n7375 10486\n33298 58926\n65568 81212\n44011 58071\n74737 74868\n3631 36615\n17642 86155\n77027 88835\n6229 36720\n15751 22869\n19280 71496\n42367 69896\n8674 36306\n18793 56914\n2635 87800\n2548 16758\n14524 64463\n43063 44921\n7067 67559\n53643 83190\n30273 30859\n62929 68893\n61938 77661\n17011 32071\n38025 59631\n21393 30785\n70632 88403\n5996 75194\n42035 81713\n29356 39811\n1879 39209\n50774 51767\n4040 25338\n16943 37111\n74301 86571\n39389 85036\n39945 45379\n3026 9632\n48899 62072\n33813 52744\n13355 30853\n56228 60573\n21823 79370\n82753 86386\n52469 61811\n47162 71858\n2550 55937\n22478 85309\n25561 25990\n12184 80495\n59754 59785\n11707 42031\n8102 20227\n4085 77796\n18394 83336\n4407 84186\n40409 72197\n20504 56942\n1533 35054\n20290 61836\n22445 92763\n31679 80795\n1107 69267\n42504 53385\n29496 66237\n32875 41602\n15978 19904\n51388 65073\n71103 83151\n6816 45426\n54193 80715\n60853 91357\n39248 40186\n9768 34161\n14796 22992\n50009 87265\n61960 81682\n18472 23802\n1993 30825\n46007 55174\n3824 59628\n39819 52116\n43476 85858\n41961 56719\n12677 18412\n60305 84176\n5310 38828\n67180 78225\n20472 71876\n26187 45780\n52959 68169\n45495 49508\n26665 87041\n14143 36680\n37430 88838\n356 12197\n4338 51940\n46045 52044\n32381 58623\n57861 90384\n59977 90845\n9655 54487\n22005 23609\n26658 80849\n13680 32427\n11415 77586\n2220 53293\n82835 83402\n7178 34503\n14554 26586\n3029 63763\n70739 93099\n14252 30655\n29420 75325\n40098 74313\n62310 70225\n23710 68645\n2662 71973\n19702 73833\n42854 54654\n16053 83651\n7784 62237\n33407 91193\n19693 38004\n14590 23500\n27706 38414\n58309 72134\n31415 73567\n8273 43707\n5749 75839\n51697 57050\n28514 76342\n20265 71983\n12880 72366\n59449 64907\n22682 92921\n51409 67789\n8022 44624\n85262 92050\n51908 92172\n4619 16943\n80740 91357\n32486 37443\n22571 23980\n21645 63268\n13527 80142\n88346 89652\n6054 32576\n28796 91116\n62772 92387\n34209 68735\n8476 88154\n57978 69600\n3307 75345\n45801 50739\n62435 71581\n44937 83294\n53978 91451\n21167 88191\n26057 75776\n16402 44494\n29654 67870\n20549 70832\n17882 23484\n62436 75708\n5376 8577\n71770 71798\n50010 74883\n55832 67567\n9604 56943\n42538 87353\n49505 57969\n23757 34720\n56069 80601\n69247 73764\n19681 89934\n27884 43186\n57522 88014\n14053 48995\n6195 35482\n8181 27200\n26592 28833\n23241 70487\n29025 61398\n77680 89826\n48989 73746\n22884 49418\n15202 32235\n1967 62092\n41483 66516\n74857 76767\n14589 24722\n4557 15961\n26047 86479\n12211 15958\n9475 33937\n91125 92378\n57409 72864\n49953 66064\n54840 65418\n59133 69882\n43525 83187\n8734 70341\n31960 84035\n11075 89625\n43426 72122\n17019 73307\n11314 32270\n58865 60693\n23531 49786\n2543 79063\n9959 40829\n5993 49907\n58203 64800\n19730 56826\n50642 65313\n43559 81275\n55335 62624\n40428 60326\n60881 74492\n15026 89915\n47857 71804\n63727 66826\n9862 12906\n13043 90278\n32313 45856\n6975 67067\n11907 88955\n7654 92232\n31164 85570\n17045 79978\n20970 26624\n47582 91219\n8267 71268\n1159 5436\n5646 10044\n54379 77828\n82061 84977\n27129 59211\n53459 57052\n51186 74939\n29506 77082\n58329 79352\n57579 63400\n37962 55058\n42149 62928\n25609 54397\n41491 85068\n49072 90581\n51194 59967\n77895 82938\n4879 71472\n81412 89281\n20233 85496\n5414 72763\n4348 50526\n86757 87062\n3096 24865\n23706 34088\n18713 60813\n367 6705\n11596 29935\n13976 62467\n29535 60812\n66455 68811\n12169 53580\n21373 52506\n53433 79796\n57170 80813\n17525 38868\n48759 52013\n16246 60158\n10647 25401\n72230 72565\n41652 90112\n94 18702\n28761 61746\n40318 72798\n33893 49404\n75995 81808\n8315 37127\n29450 35505\n19380 42220\n43501 79562\n17699 34334\n19178 49187\n4834 45792\n33793 92416\n57648 65937\n5817 86215\n40425 76884\n31993 75571\n25765 57656\n16225 26393\n21856 88679\n19964 47437\n19616 24323\n17446 66148\n76989 87534\n80714 83830\n38743 42526\n21227 64160\n58765 73021\n28542 77158\n5520 25155\n19258 74167\n8293 42355\n15285 23286\n5853 73036\n748 76710\n9767 19741\n3157 12712\n34026 82397\n46305 53200\n39901 48288\n26443 55651\n22208 58257\n45430 72941\n19253 73827\n72368 92198\n19525 76912\n67016 86728\n29365 40318\n17620 68639\n18005 74417\n18486 64256\n1223 13379\n58121 77417\n64366 90804\n49059 93041\n16499 20437\n26543 74351\n72781 77002\n29505 50371\n50560 59670\n19837 73508\n47461 66623\n34771 52050\n15578 20934\n13892 31444\n3452 61518\n76894 85876\n76171 92603\n3093 37175\n57943 61124\n67024 73575\n32138 75307\n58033 84182\n43362 54229\n41896 91454\n82410 92464\n51775 81382\n24981 67327\n39786 62926\n35539 51017\n47615 77963\n2626 51675\n51159 70674\n32417 73736\n25411 39157\n48083 82081\n2077 2178\n5225 68477\n4157 83047\n40446 50497\n41662 74623\n8130 47097\n36774 49621\n46134 61655\n17315 33861\n19343 54695\n24920 83519\n60387 64911\n21659 79763\n55176 58089\n43803 50361\n10626 81442\n58274 83297\n17932 43202\n1362 91066\n25924 31390\n904 76697\n63801 89388\n20424 36281\n22346 47506\n87976 89686\n29122 48893\n83155 85588\n22501 74453\n15179 20394\n67993 70746\n65254 71004\n6256 29110\n21631 86316\n51508 55503\n31128 86911\n40522 47597\n38691 64382\n4310 19212\n42247 78225\n30368 64024\n57079 84784\n49069 74929\n40349 43994\n13212 38813\n13758 15543\n14676 47095\n25877 71899\n2464 19305\n1561 46140\n7265 16735\n29223 62178\n20006 92498\n8242 70493\n7487 32536\n60728 83544\n15788 18923\n64622 71780\n52559 72079\n20189 21985\n27098 83546\n5822 58335\n64440 77853\n9665 83179\n37611 41102\n35429 48325\n30846 63826\n591 42235\n67481 72956\n21301 77660\n18575 30107\n986 46205\n7145 46856\n62593 84141\n13005 54801\n14455 75160\n38494 92834\n15897 29266\n9672 65833\n33640 49039\n40999 54473\n3230 9014\n16541 49031\n30227 48215\n9253 82313\n2610 30056\n56735 78144\n29575 45829\n42310 85641\n41778 48788\n81005 82111\n30241 66837\n39155 74264\n20210 50469\n79587 85412\n40179 60425\n18517 88401\n30479 39862\n12436 23410\n42588 67329\n40226 81056\n7686 20603\n26004 76697\n8182 24903\n76018 81695\n72891 89173\n5469 59441\n12323 44026\n59599 74374\n40416 58052\n6911 42373\n31605 61667\n5754 25053\n70173 92374\n73446 82215\n25506 61618\n20446 56139\n9445 68183\n40254 49279\n92359 92540\n15076 17489\n5546 38493\n31463 52356\n2142 87658\n68342 74967\n25564 87175\n22319 83951\n2845 72846\n18175 68693\n10335 82567\n86962 91725\n6243 36357\n20599 81071\n8900 79845\n27645 50458\n47647 60214\n84832 92985\n83751 91716\n36515 68221\n23566 48893\n33858 91070\n1301 74148\n19675 37708\n62858 63005\n11520 76960\n17829 45309\n8314 64671\n69053 79921\n54274 58987\n57487 91831\n54935 89468\n7960 85538\n25005 42035\n8287 59466\n22817 36445\n66241 70460\n52 30064\n13043 44065\n25030 86592\n37108 61835\n41656 87512\n2969 77959\n8181 31043\n22236 44571\n16882 20025\n35388 37395\n24493 47563\n36134 69458\n28648 48831\n8061 89076\n25154 58316\n45405 88002\n2792 28159\n8859 45555\n23647 68394\n43962 70268\n64836 88939\n52132 57725\n51918 71893\n1295 28403\n3634 13367\n28120 31381\n46790 82381\n46643 87019\n36746 73841\n54234 91072\n10406 52673\n28711 71786\n11787 40652\n17099 27254\n38791 86852\n19832 66149\n53268 78873\n58637 81275\n80833 87661\n7168 71681\n38278 72801\n60958 86240\n27846 44578\n4748 16436\n283 64066\n16935 61025\n25193 26165\n13640 61833\n35830 74582\n12011 49153\n13778 68049\n8987 52941\n561 53246\n21906 83481\n30024 45899\n11476 21565\n23346 75436\n74115 74956\n8662 88607\n17202 66858\n40902 65809\n25000 78494\n40852 49210\n10406 59720\n40912 64131\n9081 35092\n10995 25165\n41763 82852\n22680 64459\n8784 27503\n8382 8619\n35716 46381\n35670 89475\n25576 30057\n43145 50761\n61547 78230\n38965 59591\n76016 90050\n939 50438\n29677 85561\n12173 83596\n1646 78536\n8855 67016\n19266 48083\n2164 22902\n13243 62828\n12767 67371\n45581 73575\n67351 71468\n26534 62427\n61933 68647\n30724 80452\n27244 35479\n50887 75255\n29701 45924\n68227 80403\n28373 41387\n44428 50812\n45865 91937\n29554 39517\n24830 50918\n75833 77159\n60909 65496\n1414 41824\n13475 21192\n27124 51227\n17410 64942\n61719 75316\n15994 49921\n19030 34029\n73770 78085\n36674 80386\n17669 22782\n34831 74612\n3341 12366\n7846 92619\n6672 82126\n57028 72895\n33882 84700\n28378 81841\n70392 78907\n32690 44898\n7635 77560\n65548 75838\n37069 43791\n12675 77981\n8079 85800\n74425 89662\n8763 72431\n46856 59996\n61081 66868\n6402 84481\n44949 79469\n45797 76394\n35787 38645\n43993 85057\n48514 49608\n86207 91998\n12035 91855\n48304 92421\n28938 87501\n5579 24024\n14810 73751\n6481 51412\n48358 79856\n32101 66125\n36891 87783\n66362 86048\n1441 12396\n8443 86578\n90118 91221\n69571 78527\n17052 20127\n30739 89528\n50312 72898\n43667 90343\n43533 75667\n57738 62673\n56225 84296\n62289 88014\n25988 60155\n14950 82718\n1385 7536\n59211 86070\n24860 35658\n23037 76821\n17458 74817\n60373 91059\n17084 73941\n41134 84239\n11725 92011\n4397 73769\n8656 85543\n31889 87861\n30901 51524\n37014 60975\n22996 78967\n57067 61140\n10503 78040\n3608 44660\n15331 64128\n39692 58878\n46639 60468\n56338 58026\n13269 85631\n42544 78269\n6591 33178\n58550 68060\n64735 92398\n27387 71150\n36420 84545\n42755 78770\n21732 22788\n62308 90904\n45009 80226\n31452 50430\n46330 69851\n9266 82467\n57802 67229\n1092 90301\n18997 19113\n80261 89694\n8558 38684\n20563 91909\n29246 32219\n1884 7841\n3293 14333\n25471 62953\n14691 82506\n29105 59589\n3121 46043\n27246 70873\n49125 77174\n8563 51932\n60213 60545\n18128 22991\n7727 34087\n3078 81245\n3167 32524\n19994 82928\n25997 64007\n35416 67641\n57411 71566\n10948 48446\n67332 84101\n16048 30594\n8153 78644\n54141 67472\n55774 62339\n78090 87682\n37033 71568\n5245 26643\n38507 39793\n12855 13396\n8878 91007\n45242 49921\n27386 56980\n40495 46728\n51389 54768\n26132 30599\n1458 85112\n11182 84341\n21039 50974\n2078 43372\n66105 91096\n12812 77616\n41722 57027\n43376 65461\n48691 80250\n3844 69587\n85480 93115\n41873 51945\n86481 91821\n13300 32025\n69680 74234\n31768 73654\n68188 76810\n13512 33767\n14847 41756\n11386 62408\n13516 21668\n47902 63071\n35193 36523\n16383 62127\n29888 84070\n18318 61425\n10086 20720\n3051 24585\n13754 52193\n40978 90831\n81178 89601\n6194 48807\n69885 80526\n59302 79562\n6387 26943\n17815 77785\n8758 74754\n10600 27500\n34775 73341\n6174 71513\n30530 43848\n22971 29372\n22634 80455\n82398 83306\n44307 57319\n37184 46375\n16386 61267\n22208 56360\n45034 80997\n12391 75693\n62987 78117\n23631 87463\n10648 14580\n6893 88346\n50758 83839\n55451 90645\n22150 70125\n55121 72370\n67151 76387\n6211 63897\n4608 58776\n22204 30729\n3507 38133\n954 42375\n335 68962\n28065 34917\n29065 91123\n5029 34019\n10550 28593\n25658 82923\n21001 24591\n3995 82306\n52886 74483\n40103 88703\n34471 91825\n10437 52737\n47666 67315\n14468 34754\n18874 56359\n66798 80970\n70217 87649\n2228 83409\n61216 66807\n9179 39173\n41359 61110\n4681 64754\n18755 89275\n65014 65108\n45228 60911\n27667 34222\n24584 89475\n2659 10893\n13744 82216\n26624 50287\n70584 77363\n27471 43701\n15266 32797\n25168 77776\n23415 55303\n19821 81876\n30209 76295\n29120 53365\n13210 51860\n34550 64654\n58492 69354\n17735 51826\n37434 61523\n62719 88712\n63775 71567\n11345 64871\n8818 88714\n59580 65793\n25096 25396\n15657 55812\n36256 90375\n16055 29757\n3893 85130\n5927 38800\n52168 70176\n29656 42523\n33016 48760\n15954 80325\n69432 76264\n25463 81226\n5222 43481\n3205 83361\n18322 53463\n56540 84946\n63673 69087\n30062 85812\n13840 62755\n29966 55931\n26577 51465\n31853 68009\n32698 73329\n47852 74246\n3872 20616\n11121 21186\n11542 50136\n2388 24588\n41061 69281\n49757 59891\n27639 69222\n73253 87445\n28556 57142\n39818 45399\n67069 91880\n25911 54883\n41920 88662\n5279 90216\n26193 79083\n49604 59513\n61046 82311\n20164 68108\n82905 88432\n32456 52018\n61318 81198\n36209 54394\n52041 81174\n5888 63719\n6869 16061\n10178 41201\n38137 55032\n18699 71449\n4787 64647\n404 9956\n42290 57888\n5858 85245\n41002 82640\n40028 71244\n54418 77383\n16524 37993\n17460 34552\n18859 69602\n20608 30683\n86309 89200\n20832 49967\n2525 3358\n21901 53797\n1795 23167\n2858 56948\n40616 45428\n6933 82923\n23072 72028\n66557 74839\n16158 54707\n65905 80661\n65416 78897\n18593 19785\n37098 51785\n14546 91748\n18497 37127\n1062 48201\n57421 63842\n7915 68882\n6578 13619\n19597 39119\n5165 34372\n12216 18729\n1748 93139\n30911 88309\n61286 66106\n13232 75467\n31144 48667\n48894 91663\n3322 88179\n15866 54948\n41560 79626\n12298 44019\n48031 90118\n33523 53957\n12219 79155\n24971 86803\n80068 85264\n27789 40029\n32219 55029\n40479 66440\n25816 40575\n27564 57685\n67117 87780\n2119 82796\n21963 55568\n13416 25979\n62925 82301\n7136 66842\n54431 82815\n24312 31975\n15737 31215\n3346 56944\n33071 85528\n63085 71542\n46568 76670\n4326 42317\n16508 74991\n26464 90368\n68515 79833\n10351 23898\n54671 81923\n70744 77976\n41862 67770\n65539 84315\n37333 40373\n48780 72659\n8538 39215\n9046 53444\n1548 80150\n17606 52905\n73373 91978\n7596 49618\n55373 88926\n47047 73037\n38037 74960\n78426 90601\n48073 80867\n7629 25143\n52989 76618\n42536 55175\n3124 22515\n71169 85790\n9455 85334\n4332 47447\n80037 83258\n17889 42822\n1292 51055\n51264 56326\n13789 36552\n89331 90278\n9416 56645\n57328 87319\n1912 2231\n35647 51862\n64818 91045\n31619 51698\n54950 70151\n23735 89620\n67723 76434\n20936 40303\n30644 53549\n37951 41835\n28671 79346\n24392 36765\n27301 35782\n4904 55602\n14630 65828\n27928 78247\n76054 83611\n25761 31715\n32009 46247\n21581 39290\n2617 22455\n66809 77151\n42775 55046\n7026 58084\n2919 42912\n10903 60723\n58247 89892\n23885 26970\n64084 78481\n34108 75516\n62462 72307\n6481 23681\n45667 65468\n3597 55213\n15133 50012\n8913 83507\n19812 78894\n66561 77546\n4061 75027\n75231 88594\n76410 83084\n7974 47188\n61420 67283\n74003 76249\n40916 49787\n36960 86165\n24573 65354\n58861 82863\n31820 56892\n56084 68191\n44457 51943\n29152 87366\n72022 79009\n50355 92872\n51431 54872\n56442 81125\n65460 72005\n66643 92534\n11218 37425\n57945 84461\n5131 73089\n18601 20116\n48654 55419\n38823 70883\n39267 78744\n44834 70841\n6940 16709\n39953 56308\n5493 34274\n15419 26751\n14956 42926\n56767 85536\n19071 36715\n16420 73390\n60040 73591\n8195 59879\n30241 49876\n4312 80006\n905 20989\n23220 32283\n42152 48196\n6364 10850\n74698 80280\n28886 59165\n35324 84427\n55744 68153\n17866 25234\n73514 77768\n41853 55415\n34542 35851\n21961 31720\n77699 89146\n21009 56039\n57222 63208\n28392 51659\n26006 81093\n2759 69571\n26318 62507\n51622 69894\n31230 92371\n17127 73165\n14279 88649\n23106 69404\n14972 15390\n4223 43761\n10296 13864\n52894 87354\n35447 53622\n29279 30689\n11429 41370\n64773 82509\n18536 68911\n77921 90247\n35664 67740\n11238 77236\n50326 72905\n5319 43601\n20388 45074\n42855 63045\n330 14570\n21601 86612\n39311 66151\n6688 8577\n32563 59545\n1450 46897\n15279 45781\n26322 87046\n7039 20900\n36545 78675\n7759 43378\n60869 62867\n64371 71412\n35903 61302\n2945 68096\n62314 68243\n25927 49762\n9460 47642\n10722 87675\n66870 71161\n11971 27628\n14264 83431\n36390 62682\n15722 35973\n60895 79461\n17065 72769\n7632 47658\n2578 18122\n26721 72375\n33318 54466\n38798 52982\n37052 57078\n24517 72834\n79733 85246\n49618 67928\n57400 68045\n568 87844\n66847 85227\n43508 88504\n15385 82088\n51964 90350\n39547 64065\n38530 60553\n691 49749\n5358 91514\n65223 78488\n52038 81798\n20203 54190\n58166 70434\n17647 58436\n33345 55324\n9686 35394\n59755 65880\n33698 80305\n7168 18053\n18386 25548\n11449 71782\n17183 42620\n7348 68141\n17972 40217\n29705 57339\n62798 77599\n66934 87354\n718 82155\n13863 21353\n15482 47169\n19862 46775\n82250 92841\n39225 74237\n2574 44855\n16646 51473\n47903 49447\n30065 75398\n38665 79675\n78387 91834\n5400 91830\n24380 64993\n13232 43786\n54655 69092\n15420 70745\n50234 85919\n3248 65303\n50473 71344\n32653 63364\n40599 90658\n24526 49874\n38722 52907\n10080 53493\n41277 66510\n30803 57504\n26568 28745\n31488 83531\n25549 76434\n5998 59836\n48861 90336\n29209 60704\n12038 34600\n17700 27449\n20727 77507\n38414 57247\n37013 68133\n2101 6248\n8967 33247\n63534 65300\n54425 59944\n18545 28679\n20580 45651\n85010 86493\n38951 90538\n53112 84051\n6176 60074\n2893 53991\n3931 35375\n12343 85122\n52792 55766\n45516 58803\n75125 89453\n37427 64143\n3733 86295\n22592 68601\n775 77077\n70716 88445\n7899 54865\n33902 34806\n17569 87685\n28857 66485\n15766 46577\n9842 45498\n22872 74463\n20463 87247\n18355 30574\n2978 66748\n47942 84440\n47598 50255\n53949 67147\n453 11949\n70201 85059\n63062 88884\n37261 89121\n34369 40221\n20408 43529\n74100 89089\n73941 89640\n9038 47509\n12705 83348\n13475 70867\n69805 79601\n55503 92894\n9513 38834\n54310 86381\n11789 61967\n9909 12902\n9256 29605\n46867 60160\n12384 52501\n3824 60565\n67701 85382\n39911 81288\n4365 76123\n15747 73737\n31376 50252\n66918 68561\n35084 77187\n29881 44362\n66259 91601\n13787 40196\n35722 80230\n38894 41740\n24686 63763\n8638 88963\n34911 43886\n17042 27109\n875 30137\n67010 74984\n78017 83778\n25032 56562\n7488 23448\n84019 86740\n2780 91943\n3065 18449\n4876 33227\n565 84562\n30372 54384\n22391 85086\n92825 92984\n15576 85703\n5751 50077\n1544 73677\n34674 72543\n17696 58270\n46331 53983\n25389 84233\n26293 70244\n53750 81879\n43289 44245\n57977 83363\n20916 79921\n35304 55253\n52833 58489\n62953 85339\n343 36601\n44589 80456\n79807 92486\n15134 31004\n52943 64584\n39736 90241\n11096 24410\n45018 48268\n43677 89205\n17628 45368\n41712 62234\n3508 73645\n87531 92863\n65615 69847\n15828 86044\n30700 86256\n33487 71655\n34940 47500\n51647 62278\n26804 83428\n28492 68782\n12342 67402\n8584 86222\n60531 72617\n39737 73478\n58159 84985\n87240 88775\n30726 89300\n51546 70574\n824 73328\n66330 67176\n47204 87124\n16960 80777\n27393 44828\n1316 61277\n26886 48193\n61979 72090\n34313 71205\n23691 42566\n18604 25004\n5966 34187\n17464 51128\n40591 52608\n51988 87449\n38988 80272\n32833 50781\n32 50916\n68549 83362\n12469 75573\n58998 72201\n14739 18895\n48997 68535\n59126 59799\n66630 92063\n24789 51187\n61483 76519\n3057 12221\n40182 50235\n12672 25925\n7382 37398\n33049 66282\n10021 37581\n68081 87469\n56155 84931\n9273 42758\n9366 37262\n2759 81409\n12582 13280\n47609 79152\n45913 86421\n13483 64872\n40849 56132\n9844 72079\n4438 4858\n53987 84601\n16220 50634\n12919 70999\n43634 69702\n76127 76440\n16747 37660\n23070 90897\n34637 75200\n81748 91106\n53115 79026\n55408 90241\n12918 58003\n24762 67762\n15087 40020\n27747 87125\n51542 75893\n37641 70301\n10844 63314\n1291 14371\n44484 65501\n42822 72540\n31321 67651\n10374 12424\n20646 77351\n1834 15207\n37675 57524\n811 25262\n33569 48984\n62276 69500\n13936 15242\n534 79154\n49037 82359\n69299 73465\n64447 66648\n25114 83527\n49905 64295\n8078 85478\n61424 76991\n7799 21153\n64954 75546\n67317 78560\n8362 67294\n39956 71968\n34623 65107\n33312 84623\n38832 60220\n7854 78563\n7539 9405\n32461 64572\n37959 58707\n15688 28781\n827 73472\n12790 13067\n10477 70465\n12802 86475\n59876 75645\n13557 24160\n6144 90647\n29966 72976\n54114 71995\n63124 82960\n81104 82489\n22777 28406\n30939 44666\n1900 37697\n15337 75797\n61271 73902\n63077 88690\n32999 63856\n55777 68622\n30019 74680\n48496 52968\n5733 43957\n46879 86436\n68951 74778\n19629 76355\n27641 90923\n32015 33467\n12060 27698\n44101 50122\n79309 90208\n32134 92180\n49462 66054\n91043 92686\n65864 82533\n3417 8194\n9941 83637\n32479 83433\n24259 67951\n16757 64016\n5864 63668\n22669 61161\n41745 70227\n38981 92670\n19294 91071\n81663 90960\n44552 53065\n13052 71040\n66626 85843\n52333 55351\n6255 19051\n32455 53650\n7160 79334\n14140 51912\n51169 70228\n78158 85058\n16250 72846\n3645 62382\n54018 56696\n75197 77000\n7606 25203\n82312 93029\n8305 80218\n26339 49577\n62291 80268\n31612 52315\n32251 78245\n4670 50792\n14672 86212\n2453 41941\n67879 77944\n29123 53661\n3725 25414\n44152 56826\n33983 86006\n27505 31020\n81520 85752\n16940 66274\n55793 83534\n11815 43701\n1790 20064\n30584 91155\n37168 62104\n18335 59137\n53696 68455\n44731 87218\n14827 43506\n7022 9641\n41857 63816\n45887 78036\n16737 33780\n59301 80723\n47613 74470\n24686 29398\n15623 43989\n36975 82115\n9542 79581\n32968 81782\n31944 85428\n13831 24366\n11361 26999\n42174 90467\n12478 15324\n38616 52380\n67902 73774\n62922 69610\n29007 91344\n50243 83088\n2596 38539\n37803 66574\n12852 63628\n54924 57816\n8706 76550\n36908 40581\n70301 91059\n10675 34371\n59213 64538\n13143 68949\n28937 49537\n2645 27729\n24489 25643\n53488 65581\n36320 90561\n17297 37955\n60037 71263\n14045 16821\n85665 91470\n27130 45270\n50674 58327\n46704 57929\n15609 77453\n60607 68066\n26255 57112\n27307 40356\n6207 31403\n47175 79338\n46147 68159\n11690 44557\n26456 73965\n3630 18169\n68509 72833\n3099 79678\n1131 79048\n25864 53175\n27703 50656\n59060 81041\n39315 67704\n38245 45352\n35050 52473\n7845 66515\n87552 88856\n20618 84679\n1918 10079\n2051 87189\n52186 87730\n9671 18747\n35912 89894\n51248 91964\n15662 44811\n20197 31891\n45209 56396\n83730 92435\n45728 50133\n54942 93122\n15753 74280\n9725 39777\n7908 47143\n25928 80380\n19437 76869\n13513 64615\n49638 57253\n19701 93008\n15616 38971\n59325 60040\n7470 80482\n64894 66936\n7989 86561\n21843 49788\n33211 71237\n25275 74462\n30848 78665\n10681 12503\n33336 36255\n47229 86946\n21071 75797\n63064 92092\n64945 80829\n10797 27711\n28773 86987\n23860 75545\n48514 67908\n11781 63746\n23330 66174\n44812 67733\n14647 21179\n25030 55991\n38965 74113\n4367 10338\n1761 22888\n1559 74436\n25983 87635\n64172 89597\n5589 65537\n18804 92340\n67699 85825\n4094 62909\n54512 62345\n12816 23496\n2091 84278\n20286 42050\n2068 81238\n32687 59544\n35652 52262\n53355 88901\n39131 58476\n39264 83721\n45755 91784\n16625 42859\n48077 62665\n40846 73025\n36308 56710\n13134 23427\n30769 76921\n40138 41958\n39411 50652\n10055 64284\n46713 77495\n38479 62572\n20100 69900\n38944 55989\n9922 12328\n76538 89598\n11721 61601\n23878 65028\n2299 72180\n710 29977\n17003 76578\n27617 42959\n19579 28201\n29261 40240\n4233 51033\n18862 76128\n29620 80193\n50603 53507\n39292 43031\n4471 22147\n23211 36838\n44914 49807\n41392 70801\n40081 76734\n26688 79906\n20834 29834\n21054 87399\n52285 52365\n64856 73473\n5995 40393\n8958 92706\n63465 88819\n2018 20360\n43137 68394\n822 19415\n6093 37867\n5220 84431\n55767 88707\n60164 89044\n27799 76076\n48355 63630\n13054 89067\n2869 78872\n30555 66828\n30796 37313\n55495 76709\n20660 81763\n33260 49855\n88782 89895\n24028 24846\n29462 92199\n36095 37664\n8424 36460\n12406 92989\n167 69904\n2892 23648\n66590 89956\n79544 84422\n12465 73509\n76981 89338\n816 71827\n4369 60485\n25450 48690\n22666 25053\n32305 67682\n42314 85713\n24698 81551\n1557 34498\n22800 25013\n16777 70234\n66973 83247\n49980 74529\n14630 67113\n23904 51916\n44078 70232\n1100 78217\n61614 77874\n44136 75412\n3063 10386\n37746 40023\n11102 85299\n9240 27997\n46411 67449\n45040 45089\n11321 90781\n26494 93050\n72016 78252\n28 31992\n7280 14272\n25098 63464\n5331 58676\n23534 33911\n16190 49236\n10387 23321\n33410 64244\n14389 42316\n35236 43842\n8766 14255\n14662 14667\n53998 69993\n48460 87005\n72306 89052\n56484 77792\n36257 75070\n10491 17085\n15397 35749\n64427 79493\n43159 59271\n26849 55558\n53578 88932\n25291 45156\n45114 50029\n7856 25851\n50080 53913\n20817 21226\n31224 89247\n40439 49898\n18971 21127\n7123 91097\n31847 43918\n58698 78405\n50537 92758\n16426 19582\n2365 79179\n622 52080\n33124 74662\n38993 57817\n32100 49656\n50186 83189\n60188 75281\n41437 79107\n62867 83562\n12539 92207\n45112 86008\n35750 81764\n65140 92332\n45979 88331\n21297 49661\n19545 80676\n35624 69133\n12342 49018\n70176 88203\n50323 75903\n76774 92538\n71901 92170\n80970 84614\n9276 40548\n20741 42884\n62780 69833\n61410 72028\n19043 45439\n8914 83955\n573 36533\n62277 68425\n26366 73341\n13529 89105\n1291 71354\n33604 85522\n45322 79284\n42228 60561\n21683 51556\n8264 42829\n44453 49846\n36516 47725\n11678 22817\n74366 79125\n20322 36460\n9640 86654\n3107 37111\n46570 56798\n26595 42811\n16364 35139\n21257 67985\n45824 85399\n3797 68584\n84642 88048\n23424 72834\n88904 91229\n20233 50126\n29911 44668\n16972 54475\n9728 35905\n1946 59738\n34630 52344\n29573 37322\n15470 17190\n39979 73656\n9647 31453\n5133 78934\n19426 80953\n1276 51922\n22923 41484\n1438 28474\n54286 81332\n535 39983\n18419 51391\n15165 31315\n58242 59164\n56204 73563\n30943 87870\n17090 26936\n60353 84007\n41702 75042\n6827 18697\n1400 31898\n32132 55100\n29417 62155\n63386 79752\n74388 77048\n19757 85566\n23982 79428\n25389 39995\n73313 86706\n45937 82067\n7980 58071\n19146 62855\n53062 86894\n13550 75948\n59922 80875\n35304 62183\n44433 56998\n41206 86107\n69033 90897\n13126 32754\n50818 77440\n46737 62057\n58988 84018\n6345 78986\n55732 58940\n14030 27512\n8196 42380\n40782 83845\n30333 56785\n22816 67359\n74720 82868\n29493 67225\n43639 56261\n22818 80841\n2848 56154\n25498 39877\n3812 78955\n12189 18911\n16879 35044\n2729 2759\n57320 61545\n80600 90879\n6764 19875\n65871 88211\n30994 77851\n13081 73859\n40141 91401\n36844 60536\n2229 18884\n48954 85035\n59194 75446\n5768 79041\n27450 37351\n68843 73450\n10 69016\n19462 34522\n24766 43565\n19939 54110\n16940 83251\n15068 39722\n3666 71230\n41064 57260\n22922 80171\n62573 83002\n55716 72353\n65589 87324\n9238 20722\n9825 56203\n55633 74405\n44366 86214\n16915 59241\n63077 90090\n32766 78720\n41512 89839\n18057 88587\n70850 90843\n2018 18622\n6474 54869\n27456 47175\n15286 89967\n44020 91674\n40498 83469\n2407 11426\n15384 82352\n38059 78145\n4179 41237\n5456 31152\n47752 89808\n48803 70887\n11879 54357\n1398 83271\n13690 26734\n42450 50606\n53676 74569\n45802 49816\n22681 69421\n62193 79211\n34895 54956\n24687 62189\n2323 28692\n25119 34930\n14512 71410\n27426 53398\n42047 48334\n38775 73237\n32700 34192\n20404 68986\n6213 23098\n2154 58459\n1864 32550\n64536 70058\n21346 88137\n35870 74333\n31713 59101\n33093 64464\n33949 37521\n90664 92679\n40679 84266\n36906 63772\n21253 57122\n21959 87623\n12345 49861\n40276 41224\n30847 89865\n50126 64362\n7286 33756\n24725 83776\n28476 91006\n2901 43586\n13795 61725\n43216 67624\n5141 40956\n6684 7730\n4100 67617\n12749 70964\n10986 16694\n21990 26093\n36659 37411\n1036 67029\n5106 38250\n25556 85801\n4050 59133\n12830 15326\n3573 41590\n66202 84756\n36905 52836\n18767 61009\n72156 92767\n11060 88241\n21356 57557\n29879 33762\n5156 35824\n42997 50796\n36775 82559\n24082 69557\n31025 48118\n66121 73343\n4045 60887\n14502 70270\n6857 53761\n31197 51654\n15800 35464\n8793 53487\n19521 32593\n63888 88403\n35245 56281\n84035 87900\n15106 92979\n29436 55060\n2360 79633\n16852 43306\n6659 76475\n60401 87301\n54511 91117\n76656 90916\n8706 48556\n33357 60217\n28209 90059\n80950 81272\n39755 50191\n62374 76256\n835 34368\n31550 56630\n17589 61715\n27477 86511\n7908 41944\n3766 8366\n8744 72912\n1541 52014\n12522 38185\n59758 73758\n45608 75865\n22050 89232\n19928 91818\n11111 14161\n58990 59781\n15821 21111\n16597 81951\n57996 86559\n16723 82217\n10851 19345\n56161 84840\n8275 30166\n15582 78550\n8298 15074\n29441 62553\n32714 32852\n10687 39548\n10598 31374\n30872 35312\n54449 90917\n77329 89515\n63969 90751\n34583 65771\n58209 64018\n21080 24962\n61680 65876\n82300 92442\n27089 39049\n28104 65827\n17444 55100\n354 84183\n23386 88592\n2107 57781\n71354 84889\n37613 87482\n10527 32180\n75461 88397\n64313 81544\n50566 71552\n23484 48498\n4805 39118\n64485 81892\n20899 53890\n47636 63199\n9931 10409\n32789 54813\n30189 88037\n38841 58460\n8287 60490\n88386 88478\n25040 59058\n42428 54839\n17579 88906\n4435 50554\n33191 92240\n7421 10454\n11655 14721\n53886 59892\n51863 69786\n70115 80617\n70874 74155\n13043 87688\n73069 80382\n2608 2693\n12493 42319\n34047 64138\n394 18564\n70297 91580\n18043 57669\n41994 60180\n11407 85345\n7274 45122\n26866 80297\n52743 72678\n21888 33827\n3143 82828\n16073 62078\n21417 57480\n2647 7539\n22061 70306\n19133 72586\n25131 88298\n47156 88849\n35215 63969\n40763 63943\n6899 62387\n28976 48013\n20333 89403\n10792 17314\n2624 77701\n8286 18390\n33167 82600\n15311 61920\n5282 56173\n20352 82289\n35245 40852\n6204 90226\n40281 68828\n50900 61929\n33966 83447\n47637 82862\n30970 85047\n40104 80971\n4672 14749\n21969 45527\n36849 48056\n24880 67208\n10250 26900\n5097 65073\n60870 80968\n43719 77937\n44539 58306\n62383 78771\n6506 43967\n14386 82979\n11469 92580\n47346 70969\n11839 47660\n24196 90509\n23497 39135\n73942 83375\n19554 57080\n5119 12963\n38677 82960\n12190 87998\n34086 34579\n31355 54299\n36862 38851\n40018 92173\n35897 67671\n48065 62612\n6711 22278\n22778 42861\n7580 23337\n45427 53864\n16530 51574\n38283 71689\n13086 65327\n20369 92754\n28799 43422\n31938 73676\n35964 92572\n4925 86528\n62366 93033\n32210 41294\n10832 76224\n8690 66889\n44310 64215\n20149 70660\n8596 82408\n17476 32004\n49366 80331\n17617 40522\n15248 70665\n42801 76250\n24717 37536\n35462 35718\n56827 88313\n29815 75887\n89374 92346\n25769 67783\n35061 44483\n44888 70796\n21637 60549\n15770 69876\n3628 81560\n18230 38213\n58732 75451\n20400 74327\n21735 29375\n80343 92651\n14866 46154\n1536 37861\n62383 88361\n13267 67034\n25877 69672\n5045 16341\n1636 40273\n34313 84944\n12236 85551\n51804 71077\n33632 58344\n32715 53798\n45489 91070\n55181 73632\n75841 84473\n16624 64365\n12722 59109\n59816 69594\n35954 79777\n1213 59988\n12541 32724\n44950 56545\n4064 28827\n9661 10146\n13953 47430\n3802 75917\n73610 86749\n12585 19053\n73177 88453\n54380 56578\n33452 57998\n7974 33082\n19603 33536\n6660 19034\n47628 56478\n3245 41301\n15617 62188\n23614 59711\n22629 37768\n47239 91650\n54390 85641\n35424 37059\n37708 77295\n22717 23017\n48571 50612\n3192 69788\n47162 85694\n31290 38881\n36395 69689\n31694 43973\n56697 61897\n12457 51523\n21926 83416\n41927 67543\n55750 68667\n22284 62160\n36564 43084\n29599 49371\n60841 93041\n461 24893\n3498 38414\n1580 85730\n57580 64633\n20178 45325\n23066 51210\n7301 21138\n41015 56318\n58935 78573\n67096 92924\n21629 63175\n75390 84608\n12585 85966\n70888 76658\n37107 68555\n13930 78582\n82784 85086\n43996 52928\n16136 55676\n691 89511\n68028 84809\n16204 49844\n6680 68469\n37420 55571\n4163 70814\n89097 92793\n29660 68123\n22200 78014\n16000 66523\n25825 53396\n19973 30110\n34287 66659\n26176 40541\n50297 51529\n23741 69940\n60788 90039\n5803 77179\n23568 27112\n12301 19965\n19784 66324\n20864 62271\n60597 92165\n56334 78486\n15127 56953\n19577 56224\n25768 44752\n81954 90159\n50314 73920\n57010 66456\n57103 61016\n46475 65572\n44863 62252\n51124 79863\n5114 55253\n50141 84849\n23710 36474\n47325 82893\n51720 77541\n3188 69766\n17132 33502\n58068 69626\n5729 59583\n52691 87389\n45545 59868\n52102 84746\n67493 90776\n47409 65093\n43017 48333\n80409 83625\n16894 30863\n28665 74870\n78575 81365\n1166 50464\n70500 92106\n34777 37434\n1387 49231\n60922 75545\n52526 66874\n36894 50953\n16475 55772\n8274 15444\n33860 54516\n11554 12114\n77586 89974\n24665 29443\n18411 72480\n37508 50678\n20381 73881\n50844 60295\n1090 55071\n39295 65845\n26554 65116\n2330 52276\n65012 76123\n15015 40205\n23156 92927\n66433 70025\n15581 38636\n76577 85834\n6241 7501\n82539 84655\n9090 91922\n10394 86099\n22472 41889\n58517 72924\n2776 26793\n37723 68689\n18925 84913\n9150 59829\n5074 52697\n4643 19820\n12166 69202\n65465 69075\n18721 29962\n22772 77071\n31088 92327\n13475 60854\n6083 23098\n32942 55856\n1861 58409\n23310 29615\n32613 33252\n36596 78036\n6823 33180\n3239 87141\n31951 52216\n33628 83481\n11166 83374\n17165 71012\n7233 90904\n50675 67383\n8161 53894\n17330 48018\n78064 82650\n2373 85715\n50592 67695\n10341 67495\n52606 83930\n26933 54223\n26484 68230\n64334 65374\n73643 90322\n37445 83237\n66119 87614\n53230 89743\n9781 84515\n62634 71876\n33388 50044\n49555 56039\n9114 80921\n17401 86121\n14520 39528\n87562 88107\n18529 83405\n42930 43187\n20916 70342\n54387 59014\n2085 75680\n27232 28733\n8485 56212\n45148 88580\n18332 32106\n26521 92061\n35807 38283\n13561 77435\n34178 34972\n23513 34062\n34533 75327\n6230 11374\n43212 81479\n21336 35776\n62082 90505\n42660 90428\n77470 87557\n1631 90515\n46628 80638\n2761 69070\n6913 40231\n31868 62492\n33087 41563\n11645 66311\n9559 74332\n13457 42581\n51265 76169\n38246 87684\n90120 91941\n31474 67894\n16149 86705\n4214 81674\n37101 68148\n11727 45730\n62739 81317\n22280 41696\n20517 33325\n31187 66822\n48988 73383\n74203 81359\n20480 48656\n32439 67498\n48600 70501\n13785 86810\n63455 77596\n46503 58097\n48292 89866\n4453 36817\n38929 89292\n41738 71132\n45422 60038\n16214 84512\n19255 82827\n13577 75713\n12304 82157\n11221 68596\n40054 61565\n34254 59680\n15742 92899\n47168 79687\n13235 56494\n80769 91027\n7359 90311\n52540 92268\n12859 38783\n47588 68358\n54060 90886\n81290 82477\n67332 77609\n8375 49052\n23861 74651\n64619 67378\n31879 32573\n32998 90439\n2719 56927\n4696 40140\n26024 76919\n3264 32662\n48907 51267\n52690 71205\n68200 73111\n15856 45101\n2474 90192\n25928 58986\n35405 50290\n9534 90126\n52774 58803\n16621 91551\n31800 76261\n35364 36934\n53243 86386\n45532 74755\n9188 42486\n67798 84401\n13179 51549\n15586 61901\n25359 68413\n25985 68333\n14288 89846\n37243 79634\n54762 91882\n41923 86337\n8963 30354\n44836 85270\n77795 90065\n23950 49378\n66547 84558\n57337 58659\n54658 63500\n6502 7417\n2632 59099\n33966 70852\n39303 42063\n8479 22491\n37182 76773\n29788 39643\n27057 83558\n80187 85934\n5977 50571\n38088 44902\n8887 35142\n14224 51770\n14835 39969\n67389 85985\n26578 52974\n26503 44596\n12243 38636\n33719 65760\n25118 77152\n23589 74120\n78337 87536\n25289 64367\n33012 51706\n56430 88900\n59833 61350\n79836 92677\n75894 82526\n16913 75945\n65842 88361\n19075 66110\n6017 40312\n22420 73869\n6560 37943\n11331 81184\n39949 43974\n26713 54894\n21121 51638\n45002 88980\n8020 43204\n4023 19682\n1102 38475\n15666 88577\n24472 76125\n29243 73777\n47466 79156\n53730 88130\n53597 88801\n35322 79076\n71258 80510\n19599 61154\n14644 71923\n60237 75591\n69424 83510\n48381 50031\n27292 77152\n28495 31644\n7034 27557\n6522 9335\n76789 79140\n35928 90702\n9621 14715\n23669 65862\n10639 30050\n14569 26735\n59241 79343\n44276 60599\n35883 50799\n29840 70604\n49097 92660\n61502 67596\n17091 45531\n41846 84850\n33904 60393\n50864 51544\n46171 55287\n23009 65885\n48075 90304\n10997 55438\n32234 71571\n17433 71527\n558 14338\n55956 60358\n87515 89133\n10052 83662\n72976 92535\n70594 78363\n13782 41916\n26057 28790\n17562 85425\n25372 83606\n20883 71324\n4613 72793\n38895 71376\n26408 82218\n25801 76835\n10608 55834\n33672 87485\n3011 3459\n56286 68195\n18524 44413\n10501 53415\n78110 89356\n52097 57052\n49519 88245\n11529 33323\n16126 84752\n43971 80231\n55532 91381\n4321 52410\n69318 72951\n17775 59967\n23637 86161\n18116 58198\n5434 9649\n21996 63486\n31154 59765\n40767 58688\n9232 83960\n1028 21636\n15857 27161\n9865 75109\n10186 59375\n17910 67686\n6442 22172\n87284 89900\n35575 50168\n42242 92987\n16283 77991\n21680 61700\n3088 14180\n28491 31053\n25236 74458\n15898 40632\n13833 59944\n41552 70627\n37301 65329\n1623 38388\n5182 60151\n8038 20378\n54489 55251\n57645 82737\n8290 10869\n30451 41798\n48570 85843\n26790 45190\n50956 64359\n38630 50533\n30581 67055\n16341 29474\n4091 16901\n22199 61297\n65377 67013\n63029 88825\n5192 48495\n31116 63327\n24991 73431\n58408 70017\n57452 67578\n41931 92861\n33783 59211\n17076 31350\n17358 19492\n85251 90939\n51814 78080\n23646 39477\n50603 84363\n4859 87707\n841 55736\n746 81594\n47209 72894\n46668 76777\n22551 65732\n15778 59807\n35122 73595\n41980 45608\n7972 22875\n72714 76295\n53852 83431\n30451 71833\n8179 31168\n25417 59900\n36282 61298\n22460 88870\n55268 72946\n29608 53873\n81315 83526\n29949 33341\n47807 61794\n12470 32729\n26718 46156\n3189 42408\n13436 15337\n31203 91254\n27982 29531\n335 37433\n47647 84396\n46070 82097\n18649 83123\n14822 86091\n12319 45900\n4444 80786\n3135 71979\n46032 72464\n21292 69713\n10667 22877\n6505 91691\n45324 62387\n9678 30567\n698 54055\n25144 76951\n55583 77593\n42943 63567\n38985 84973\n54896 61263\n30880 66564\n58570 80499\n40511 53702\n56133 81555\n31674 70155\n3029 60195\n45 50606\n4709 19588\n57342 70028\n2812 28092\n43140 67613\n12470 75865\n16451 18557\n23307 76075\n53047 77808\n25316 38550\n47034 49958\n49391 74803\n34357 92930\n21618 56699\n20398 48062\n14964 92891\n42765 50621\n34305 72403\n23544 67964\n11121 21772\n5303 5785\n59366 87531\n18369 39322\n23272 70380\n2639 41056\n5599 19858\n41202 89638\n41714 52386\n58476 68621\n79212 91735\n2436 39577\n13318 87991\n29359 92454\n210 65915\n1414 30600\n49276 72710\n12675 68665\n12883 28420\n55508 90040\n41741 45475\n28031 36818\n16589 19136\n10158 20096\n34984 36842\n6748 25624\n29697 85919\n58253 75424\n23954 42054\n616 40533\n51098 63658\n30361 51766\n4173 61798\n2848 30818\n51631 59066\n45505 79120\n37930 37959\n42428 61154\n38294 65028\n28954 66421\n13988 25245\n35992 47301\n69475 86687\n21211 73359\n30692 41509\n3411 12661\n81725 84507\n21842 84602\n8826 71919\n33697 81383\n10067 81087\n3208 28329\n2297 38785\n21147 57931\n39773 55537\n13954 23517\n44983 62895\n23861 40219\n10080 22973\n8923 56727\n30551 92617\n6943 66919\n63738 92439\n39033 67194\n56315 63493\n20966 50051\n24712 84478\n60534 66447\n46367 83910\n78102 91260\n5835 27402\n38035 43275\n54822 75452\n10535 85633\n57101 77343\n44965 45992\n32788 50603\n16658 69918\n31117 84826\n35199 48626\n34523 76670\n7651 85471\n16641 61167\n12349 72847\n14866 84654\n20365 62069\n38822 68318\n58248 76760\n15725 48624\n8910 13766\n40678 52352\n15457 27694\n43106 47307\n13408 41596\n21096 32497\n58457 81283\n48660 93011\n7328 56991\n29867 58645\n21462 77824\n19411 72450\n34260 49242\n69804 93126\n40974 58709\n28868 78450\n49224 74327\n38966 81346\n28782 66922\n16559 41178\n11934 74698\n54105 91433\n48127 90202\n7058 54606\n9549 14453\n31614 71665\n24842 74079\n45695 91476\n5063 23070\n10096 29053\n11540 28521\n18686 91757\n40022 79082\n4425 41202\n10403 16154\n34294 45154\n40645 41484\n22327 29621\n5264 7372\n39418 89564\n24704 35568\n51192 75513\n2738 20941\n25304 87470\n3993 16503\n51333 60336\n68339 82416\n12971 76723\n16603 74108\n19968 26103\n72282 84650\n25591 61989\n26863 70612\n50188 60607\n35727 58246\n18101 67259\n19529 40802\n49514 75747\n3534 75985\n28134 50495\n69606 77988\n72681 90248\n1770 44251\n38611 78392\n15015 76179\n26985 59993\n12159 32839\n25224 57225\n27429 83338\n4964 40308\n8039 91646\n53671 79688\n12197 79941\n62139 75910\n10529 62089\n55769 70421\n10189 81263\n6785 11442\n54308 73441\n12685 17274\n38841 60905\n3895 36779\n27210 34584\n29449 57352\n50492 77104\n38533 54514\n17880 65110\n29636 56675\n69193 92856\n38569 60306\n45967 69396\n27956 38830\n51537 56187\n40531 70848\n32207 43491\n37486 65844\n79679 89589\n62060 72649\n12813 92979\n17726 35622\n56786 71317\n2667 92736\n48989 85191\n49989 80266\n22630 61340\n491 71067\n11013 59520\n46424 54479\n17853 55971\n12435 52099\n21560 28908\n25448 68635\n48903 61948\n20718 71815\n8660 48460\n12079 60154\n74702 92282\n49373 72413\n62928 81759\n26238 48496\n40223 72389\n29128 63896\n27481 88332\n211 82329\n71310 87944\n44296 54030\n823 71212\n20446 44066\n4914 8334\n12615 14160\n78726 83341\n3472 23117\n35782 90404\n11849 22310\n74038 75915\n43071 60733\n29653 60886\n40372 45903\n53500 92766\n15628 32250\n7040 21771\n31584 50265\n11913 23303\n47639 59944\n39629 39655\n17548 41498\n64324 77242\n47896 89751\n19913 77971\n6766 37533\n59729 89376\n2942 87650\n13308 28671\n44664 77953\n6503 60859\n30453 47395\n81273 91350\n61625 70789\n53319 63680\n35123 45541\n17883 87215\n63637 83237\n21098 46415\n11580 89884\n19388 50804\n34109 39436\n18669 45972\n7429 44299\n19042 22614\n5864 73074\n70700 75031\n30376 50230\n64934 84843\n9402 39034\n24930 62619\n6259 55069\n57896 67069\n54787 92195\n490 81594\n20327 45599\n17695 70740\n5276 51762\n56282 63500\n22484 73032\n20512 50225\n1867 70628\n31140 74275\n7979 56745\n35869 70744\n2845 37901\n46022 59361\n27809 88553\n19222 51393\n11211 79753\n57751 73968\n15888 71995\n7358 78049\n25928 57137\n65046 76037\n3899 5319\n18853 46478\n22163 35719\n67584 75206\n10054 76552\n3223 21939\n21023 89502\n9048 87338\n24671 33033\n28160 34661\n67774 73912\n44621 60188\n77299 83220\n49663 75044\n8788 40201\n24680 64018\n18724 49734\n24635 81716\n31362 92005\n34675 53856\n27199 62197\n43587 85230\n68244 77394\n21213 65024\n64104 68649\n38773 66113\n26673 56051\n54404 72178\n38478 46393\n36910 77835\n26956 50555\n74928 75617\n8110 92637\n22416 32741\n3041 92732\n74333 85779\n42518 42600\n39819 68646\n3753 4744\n22774 42370\n11160 19899\n7834 13604\n33759 78341\n35916 39224\n16286 87732\n22445 31197\n10028 72162\n11434 66339\n7410 19348\n20672 75748\n33875 76479\n51916 57616\n59089 73031\n4469 54599\n38987 56036\n81235 87676\n19820 85565\n80355 83724\n65918 73093\n26532 56200\n76088 83117\n36804 43893\n41427 70174\n46156 68546\n15468 35199\n64266 79642\n52202 77481\n931 87709\n12951 38423\n2521 64294\n84294 93020\n2959 63104\n26380 74053\n20201 53150\n31562 54579\n42144 84290\n5692 10976\n58551 73328\n74484 90170\n48398 50002\n87078 89899\n14700 47338\n18982 42035\n64155 69567\n3174 6442\n26369 33277\n4747 44877\n17401 83150\n46501 80755\n6142 88500\n18032 56222\n41501 87079\n41449 60648\n45588 86223\n22205 56665\n17642 46748\n18139 85349\n85412 88761\n22136 31029\n19537 28802\n23907 78522\n25107 50262\n15991 34417\n23487 44634\n9652 58929\n11245 13491\n29422 52955\n30196 40239\n5928 85135\n48872 76105\n13504 87388\n66859 87280\n10504 56391\n22385 66628\n37561 91643\n23004 33553\n5391 47132\n65767 93171\n44378 65287\n48254 48473\n88290 90630\n64892 85110\n69423 80520\n40209 49186\n16786 65174\n68440 73361\n50443 52375\n44197 53032\n20834 25430\n15319 61575\n51494 66824\n29944 78517\n28426 66618\n16413 50584\n78698 88432\n47260 54535\n23976 60550\n34187 48630\n33870 60928\n31501 61926\n75863 81269\n821 90439\n40526 41312\n43860 76493\n30045 76604\n1047 6468\n63925 92886\n30786 46315\n80173 80203\n18660 57717\n8223 76458\n23388 49350\n21470 47941\n38265 47595\n13266 92736\n18157 33589\n73887 81727\n11865 84710\n11526 34826\n2273 92366\n76404 86234\n66987 80027\n45745 56182\n55385 83182\n76627 81753\n39383 55402\n77513 83257\n3052 40833\n81079 92203\n34356 68078\n28556 52642\n5662 86592\n12189 50242\n11512 70536\n17891 65883\n63100 89609\n23009 47771\n14758 91289\n42367 50869\n79921 85287\n51198 64595\n19569 41372\n5824 55783\n37984 53018\n3569 28619\n62395 76598\n13327 74931\n19581 73198\n15573 20501\n64199 83333\n3061 56835\n36241 56716\n64885 83134\n20811 26052\n84961 87854\n40394 80808\n4422 52625\n38629 83856\n13170 69893\n58 6005\n50646 62218\n28052 34416\n15876 45742\n45697 70166\n76090 80044\n26793 56927\n2724 38284\n50139 75782\n19647 41073\n2573 48700\n71576 91171\n23991 82972\n5260 18037\n59558 85258\n17147 64794\n44613 74422\n64502 83378\n610 31067\n26735 45200\n19563 77760\n48267 85660\n39359 66211\n11248 92448\n14838 92415\n36100 64902\n13022 18884\n37737 74390\n84065 87836\n42353 56826\n26316 72168\n39094 60250\n67015 83234\n18123 65782\n70814 86915\n25666 48709\n28914 80137\n24408 83006\n36815 57179\n12973 46469\n20883 44053\n2942 36488\n12600 90882\n26602 75450\n5276 53037\n72 13005\n61151 89429\n7021 7181\n53139 55962\n6168 23509\n43469 65366\n4727 19168\n48412 84879\n44853 50239\n81585 84230\n14647 60558\n72014 72564\n1602 92676\n4890 60693\n2868 25698\n64273 82760\n3321 49652\n65206 81237\n22304 74365\n10473 67260\n3448 31639\n45652 76418\n68569 84337\n47439 48330\n25537 57273\n1567 76899\n3902 76541\n21950 64714\n5343 7204\n523 60410\n342 52235\n26989 79658\n36132 67967\n27473 71545\n79159 82112\n28228 86911\n1440 38555\n73916 82552\n5701 85919\n43940 73220\n7049 60011\n36471 75591\n27482 91608\n27479 59197\n33287 43887\n5734 56136\n37006 77360\n1501 73813\n25666 82181\n4300 79140\n44036 79399\n19913 26349\n73480 89537\n54098 76295\n20206 79334\n32732 83044\n18829 37563\n2534 14627\n41665 61245\n7400 39864\n22042 74681\n44162 75249\n28110 41708\n62291 89292\n4451 58832\n7056 54856\n4657 7194\n45961 91525\n17048 90047\n8256 72354\n21670 61268\n56154 75972\n68511 83141\n9549 22290\n4706 30471\n1585 77288\n11360 89384\n56175 63153\n39169 77430\n4973 40824\n63038 79179\n41770 80779\n77772 84291\n10905 48102\n15149 48543\n4670 78181\n7949 32104\n15243 74881\n5481 58024\n3371 46927\n13257 45963\n29726 74258\n1744 42422\n43360 87428\n11993 26209\n31895 52264\n36986 66171\n59878 79390\n15557 77185\n55760 67629\n5182 79669\n78246 79870\n41649 65764\n5550 66603\n49433 67956\n40384 52509\n66312 84736\n55163 63387\n174 14822\n45839 92986\n65956 71817\n29261 42662\n52856 86188\n1514 76098\n10434 30287\n4477 31651\n37250 39981\n39694 90405\n26453 79835\n53572 60467\n72869 91579\n8449 48536\n18673 92988\n5131 32137\n43888 81714\n46964 62115\n1205 3056\n43851 88604\n44636 53541\n4789 38556\n23230 90864\n30876 42085\n1484 92597\n5186 68968\n36761 59380\n28020 78392\n39522 86731\n8766 32951\n35790 78243\n21469 22585\n4477 23038\n58261 89113\n180 43309\n50194 62229\n20143 87273\n28222 87998\n52484 92939\n38482 62917\n3967 14392\n11171 74346\n18082 82108\n47661 77441\n52453 67272\n39425 48391\n3391 91866\n37498 73898\n85456 89578\n28481 53400\n18313 39282\n7987 24217\n43439 61579\n20663 74545\n13772 91251\n30834 46111\n41262 64239\n5582 9199\n29862 37680\n55655 66749\n33425 54650\n52941 86401\n54723 78796\n66628 70263\n19645 49261\n21663 47565\n32905 60273\n59338 90946\n10022 83581\n84595 90987\n21549 65439\n60410 72776\n62348 80395\n18184 77988\n52375 72569\n33970 61709\n40143 87306\n15753 43144\n34336 40208\n6324 31547\n68629 70925\n7075 15896\n70144 84321\n13427 36922\n34719 36581\n6102 61076\n45731 71737\n17759 79798\n16575 69748\n76380 81010\n6453 90147\n4207 30092\n7232 58487\n27875 44401\n9828 25778\n39707 67005\n9233 30168\n13032 83293\n16070 76894\n40612 72383\n24317 86364\n11858 89250\n9367 36942\n781 10719\n62814 92000\n50958 66446\n10571 23678\n64270 79402\n35668 71665\n18275 37294\n56299 69499\n28125 48118\n66976 76674\n7288 49266\n16129 72984\n79945 87850\n31264 58182\n29534 53013\n68793 80058\n57834 80102\n25483 33018\n78040 82601\n43179 72772\n26125 92448\n29645 86994\n27656 84690\n20892 49765\n19436 78493\n3774 53604\n5598 71967\n7231 92436\n52862 88788\n58225 87563\n68754 76202\n10882 25974\n55577 69066\n18060 27646\n45072 78598\n11062 63654\n14518 27417\n1540 49193\n75969 90984\n3177 4573\n57305 71826\n22161 90351\n18092 51006\n37076 39991\n4262 19285\n6115 44713\n16646 23752\n22466 23955\n36466 39510\n21524 59127\n64090 85796\n19086 20765\n5278 77920\n27963 45789\n20087 56514\n51460 53622\n9010 48680\n23236 31974\n3561 39326\n5735 91603\n1041 18418\n51830 57399\n61644 65069\n32567 90195\n52056 71793\n52176 91226\n30446 51943\n44385 66484\n7726 61835\n70966 75095\n58417 58532\n14709 61774\n12195 35358\n14037 66122\n62695 70299\n63370 90392\n1903 14046\n33502 55571\n34377 59314\n21987 53038\n33434 81503\n457 27960\n56901 60135\n11697 30268\n5618 67119\n15695 28734\n6812 12792\n73443 80009\n4798 56787\n63565 70796\n7027 63023\n9587 34646\n16894 29451\n85065 90133\n29414 58236\n78929 90736\n50928 51390\n44556 51687\n38103 49266\n47257 76405\n40036 43719\n59492 74052\n62255 67515\n51610 81014\n27967 62199\n16680 76299\n11452 11658\n39373 88693\n13747 24958\n30098 74744\n58611 69189\n16211 41391\n17664 87615\n1754 70906\n41796 79870\n12004 74664\n27076 33147\n67534 90289\n37565 65323\n24462 53121\n15094 88787\n6975 53933\n68463 72639\n44768 47724\n3161 42246\n50222 60373\n30475 85357\n398 18387\n38623 46109\n24199 46267\n31780 67816\n43727 56721\n44526 69542\n16344 85695\n40831 82186\n54854 63321\n24761 78006\n27725 88407\n31168 42400\n35924 77556\n57152 88982\n14276 83577\n7506 81931\n81104 84655\n13634 45338\n82199 87662\n11319 30050\n18501 52240\n35684 84291\n51260 75923\n10988 42301\n22884 27286\n5494 22551\n48999 52295\n6415 86569\n5118 31237\n4950 55969\n28996 62649\n45764 92211\n12695 73341\n58955 86601\n1703 5571\n6962 37831\n21171 50876\n48399 76080\n3258 17314\n69084 93169\n19161 35009\n33090 64745\n56775 73279\n50053 82243\n8116 84621\n32866 49279\n13555 55420\n31354 69215\n22865 79105\n12426 81455\n340 56281\n17879 33946\n47373 62117\n5686 77791\n53562 62089\n46723 71371\n6772 68701\n58827 88440\n28705 46163\n1197 24235\n12243 49028\n29509 69497\n10611 27489\n2426 64199\n82097 82524\n35531 89001\n28694 47714\n42969 92212\n18372 81794\n76905 89987\n8643 54114\n22256 52365\n38064 80415\n42729 61670\n527 53174\n49499 58821\n8614 47403\n23827 45600\n8425 28942\n23079 42384\n46272 72452\n2925 68208\n10684 86495\n2323 50983\n20756 50760\n4566 76456\n12174 55336\n36417 56498\n17107 70159\n19033 81042\n53 16230\n2315 44435\n50009 93069\n48530 65377\n3349 72689\n47895 61456\n26254 58308\n14627 84759\n72642 92889\n37421 46835\n1744 38773\n56649 59209\n25103 56709\n52759 84678\n6026 90671\n57912 92915\n59375 61484\n37911 60960\n78744 90897\n2974 51284\n20949 82449\n7101 47169\n54965 61884\n14087 19995\n30582 38909\n14238 76457\n74472 90777\n34176 45004\n41527 64773\n57105 75768\n37756 69765\n69580 85232\n41839 87183\n3820 71050\n48512 91972\n33018 74252\n16761 16872\n24748 31418\n64018 74336\n12946 84642\n51336 53742\n50186 63565\n10905 46039\n21884 59854\n16869 57912\n6175 44366\n3218 91595\n50414 89681\n39663 69042\n40798 77320\n27849 54609\n19302 85347\n48035 78163\n58945 67911\n7439 80025\n34459 81498\n71063 81381\n14495 72476\n51337 84680\n857 7350\n55110 78492\n23133 68141\n6251 39321\n42377 88328\n10872 52425\n54757 82616\n31630 39745\n10729 11806\n12121 13604\n31676 66237\n82550 90516\n36703 58382\n24162 52700\n4303 62724\n34375 74761\n16151 30992\n50259 69288\n54040 61625\n1603 54603\n21955 54359\n22761 81157\n44486 46770\n52167 84558\n63589 65130\n22297 83212\n20601 32881\n58874 86433\n12992 17040\n47344 90134\n5387 15473\n35153 76940\n42873 50667\n47395 81964\n69974 89656\n17940 75906\n38094 60635\n12038 44816\n23220 57302\n20410 46950\n13672 75058\n9355 79222\n43018 89142\n22743 73037\n52212 55333\n71065 72660\n24437 89286\n77823 79180\n39525 90739\n1305 58953\n58784 64388\n17413 63880\n971 56103\n2599 33467\n57417 61056\n16268 38759\n66236 67216\n27277 64360\n21023 31320\n34711 77326\n44465 62365\n33095 87769\n90341 92306\n52929 67433\n60963 75846\n61252 83607\n42166 63062\n44968 69379\n5893 51522\n53609 81860\n38040 42936\n53933 82467\n31330 43214\n37328 85526\n50672 71656\n52771 79852\n19559 36538\n7507 59315\n22619 87964\n52519 88329\n40275 64030\n60448 82825\n54572 54853\n39705 68437\n11230 80249\n21877 66729\n13262 36831\n25273 85303\n23603 90152\n31967 74577\n23111 60589\n7195 36997\n25563 38116\n20645 39098\n59174 85314\n62703 79623\n55564 66300\n32157 46304\n60539 67824\n77270 87364\n50186 67615\n17773 50981\n9590 91961\n56711 84599\n38176 38498\n28922 44680\n35488 64365\n54528 92878\n41944 57562\n63208 78439\n6424 70410\n22811 72464\n9619 39446\n20306 45290\n7319 67641\n19573 41041\n3116 28711\n46417 73247\n27280 86001\n42198 77679\n71395 93173\n77911 80145\n25959 86658\n19411 51507\n27666 50751\n6674 83278\n64040 67954\n35968 59154\n47260 79121\n7184 23040\n34596 92501\n9883 35677\n72039 88802\n54213 65304\n1514 91562\n40895 91835\n45530 45577\n9746 74540\n24486 52505\n5862 63591\n48087 48309\n63829 89482\n53233 92564\n23372 37977\n68768 71732\n8874 15273\n9084 21200\n20559 64889\n60565 83577\n44891 79540\n4414 9848\n21249 89342\n12268 50535\n34342 81808\n21325 88764\n41518 85297\n26479 68927\n25801 80116\n33213 35775\n64541 73372\n19519 24716\n1521 28046\n17822 52604\n23387 43395\n4463 15140\n56920 87513\n42107 62705\n775 84146\n29784 43788\n51235 70990\n37082 40088\n67293 76880\n2236 69103\n1309 54112\n35304 53131\n10674 82969\n41453 87912\n1306 45015\n79939 91211\n22174 92732\n5236 69248\n33257 75971\n19821 24012\n86433 87732\n79680 90465\n3581 15138\n5542 44340\n70194 86753\n41830 58028\n57712 92734\n19859 20872\n9661 30181\n54514 62754\n66359 66789\n13954 51454\n13645 64008\n44677 45044\n29608 55113\n51932 79525\n4133 28793\n7214 60646\n42998 47474\n10594 48841\n31504 63498\n10027 24715\n25266 50837\n19893 86832\n9928 11697\n4676 66501\n55705 60672\n56434 85863\n55383 62530\n2309 81642\n60925 61238\n32339 90618\n41798 83038\n27472 59995\n13914 74155\n8167 25776\n47917 60300\n40847 57944\n36651 43903\n13722 24995\n3410 24626\n11833 76293\n35914 64690\n60984 70243\n48044 77508\n32307 41004\n7544 27211\n35622 41179\n12412 70435\n6129 69676\n19964 20710\n5570 42898\n616 22107\n6977 89994\n9779 17089\n32296 53608\n69938 80527\n46190 61644\n23792 54656\n2516 77199\n18800 36929\n38469 64104\n47646 93152\n61415 63833\n19295 83541\n28426 86032\n12739 54345\n44073 91163\n19185 52136\n1423 89700\n32648 55941\n3312 80810\n18607 75657\n56736 81042\n4727 5586\n10616 87761\n37424 85141\n18889 61007\n56815 68813\n30529 36808\n40360 80018\n3675 50010\n20043 34537\n51173 81547\n38197 46264\n52865 75132\n65187 86862\n3802 80528\n1854 72501\n46464 79175\n47010 69397\n11217 39528\n16208 66272\n32330 34552\n24341 37550\n2458 47136\n34681 61073\n34891 92481\n47355 58412\n3113 62059\n50283 52888\n54417 91104\n11218 51338\n32509 86395\n69163 89348\n40159 89427\n7065 49351\n39620 73619\n5092 39062\n67127 85421\n24378 41589\n30650 41456\n27891 48600\n41455 79676\n8189 72575\n68088 73353\n22454 46373\n4304 45126\n39601 91490\n22985 80240\n49295 53101\n13185 18356\n78459 90299\n21505 70974\n25870 62306\n88899 93117\n9405 89092\n2807 66587\n69095 76808\n66586 67852\n60901 68581\n43341 82614\n9514 67302\n22151 45104\n32491 67162\n6056 34009\n1957 14627\n28875 67590\n37043 39509\n61820 62946\n3450 13562\n55789 79040\n4038 42789\n31419 74785\n43799 73401\n31191 85187\n56954 60385\n26569 58846\n62667 74479\n20331 62329\n42615 62096\n57531 90233\n14793 54343\n58864 90210\n26719 29644\n63712 82683\n53159 80106\n41394 90904\n1201 66762\n2116 3072\n39406 84374\n27555 54469\n39847 67208\n2815 39850\n15243 61821\n5892 73500\n51861 62656\n29574 67925\n15149 28965\n48640 74693\n35716 91282\n25777 31694\n53401 66385\n1362 9800\n4588 53525\n18824 31386\n42626 53778\n16253 84299\n59286 68850\n10578 31540\n1038 33594\n44065 55900\n34187 63217\n8116 39777\n37910 70784\n49118 55713\n10181 84428\n43609 69823\n17472 27638\n39021 80337\n1320 79036\n42732 53677\n42731 51349\n40869 50172\n54818 73175\n29920 83029\n81689 91696\n66908 93083\n9123 49398\n67250 88217\n928 14486\n54556 81852\n13928 80108\n57754 92594\n21274 41330\n39431 88510\n4033 52052\n21900 24635\n56520 63130\n852 15931\n80787 91849\n11920 34237\n45736 48121\n4003 31977\n10132 27524\n16252 20154\n20535 20963\n53351 89618\n76398 92355\n29017 70618\n67517 69905\n41250 90765\n82664 86083\n11210 37320\n10816 91348\n28347 77228\n25833 40062\n49277 89601\n2538 63324\n28686 73149\n23167 28765\n7298 67851\n11796 12947\n55697 81070\n13493 49099\n51950 92608\n8209 65078\n12016 74662\n58088 87113\n28940 37520\n35577 81433\n56072 72181\n1398 85088\n77374 89432\n11285 16327\n41021 54247\n38214 54725\n10050 39751\n25032 43983\n172 38691\n45255 49201\n56336 74117\n13350 91243\n24049 91311\n56329 59396\n60723 82002\n26189 63986\n26531 53518\n40318 82639\n9979 40235\n61642 89494\n2922 89966\n12842 78682\n10795 15660\n19268 31092\n78214 90625\n58072 91689\n75002 83849\n8141 70254\n54173 62337\n12918 57085\n43632 69056\n36741 37669\n6192 58212\n75420 91088\n45403 91167\n30340 66541\n22503 33643\n59644 92158\n19008 64243\n26618 65953\n42601 51925\n2629 57734\n55649 58926\n6035 47481\n14392 80950\n19415 52210\n16285 59183\n55860 80110\n50544 73331\n3621 23048\n19816 80264\n26225 38562\n52892 59626\n27575 89571\n16663 22287\n34827 46951\n17407 43310\n29104 33802\n53198 81847\n4155 21509\n12696 66808\n10500 62686\n31777 75654\n1476 31004\n1399 61437\n12556 35079\n1983 61382\n33288 34243\n80681 82022\n68352 71963\n48290 79594\n13323 87506\n19274 82878\n55619 83346\n19127 31983\n40660 76102\n11101 80220\n35313 77179\n22370 29432\n43953 48505\n11445 62111\n14176 67547\n6430 57167\n35161 74563\n23776 42165\n30653 36737\n15061 51889\n3223 81765\n60343 62603\n30699 90540\n62227 76486\n26824 27236\n13337 82287\n52420 70303\n36943 48077\n31753 35161\n25246 47731\n23257 90827\n14481 87863\n21832 22649\n11280 79980\n59318 92932\n20647 74874\n14142 41704\n40022 71616\n13877 28512\n123 32181\n12019 44310\n19328 77015\n16871 53882\n52956 85066\n347 91027\n13199 74709\n30295 61398\n47748 55769\n14836 47705\n18571 19964\n84493 89599\n35810 66661\n55009 69352\n38368 42919\n50028 59306\n28810 88360\n26102 45467\n46844 52316\n5732 44864\n53529 91041\n4873 70065\n48291 90295\n7846 24983\n15348 20354\n55772 88597\n25018 60838\n46877 77946\n53199 79759\n35571 67147\n24 57211\n60059 85405\n20546 26055\n62724 91975\n24131 81470\n28974 50934\n53254 63841\n10549 78855\n46019 87805\n32834 89939\n55975 78451\n30543 81091\n15527 28421\n38127 51471\n12951 29948\n42647 73028\n40465 82363\n4661 40143\n36143 85169\n38526 71537\n63360 71889\n85001 92840\n58176 92540\n31466 55728\n49329 52105\n53597 58036\n32192 64633\n80453 92551\n7488 55351\n7212 21735\n43701 73982\n32123 38413\n17355 77932\n40866 67207\n19139 25831\n1846 38664\n44123 82775\n70951 75998\n35422 47322\n22238 37203\n68299 83600\n7363 93082\n64597 91605\n19014 25568\n24421 28582\n51832 74787\n85074 91431\n15651 74049\n50036 72178\n28582 63858\n51087 56843\n53359 55106\n2147 40716\n55259 83164\n5277 54705\n15611 69872\n8055 52284\n7979 8632\n3140 67318\n68107 85302\n74731 87348\n42975 67822\n2512 54098\n43728 67901\n20381 24708\n2075 47592\n18419 53654\n30645 39631\n47811 84663\n7063 62593\n6517 62633\n18682 38356\n29960 39169\n28469 62849\n15925 63203\n8229 88708\n34734 44811\n52758 86861\n79413 92654\n60844 88177\n7738 9469\n25886 74852\n13693 13908\n32526 39803\n12175 86775\n54084 59218\n29578 74036\n41919 75519\n16183 79992\n63024 89496\n15451 30862\n45502 51078\n14546 79336\n3933 31631\n62556 85509\n40948 74680\n33122 58250\n37078 61551\n29393 70446\n68608 74943\n30132 37626\n52180 81118\n9320 11011\n46205 75977\n91879 91954\n29330 36477\n67433 91544\n23960 74162\n18142 87080\n2116 3784\n52502 69737\n19400 25302\n50653 75159\n42406 43609\n37837 72783\n14320 32119\n61105 63675\n31594 53193\n5648 17291\n11881 68654\n33849 90547\n28871 65488\n47926 56187\n19889 49943\n1536 25016\n52841 58110\n52111 87269\n71137 90271\n74263 92623\n55851 60785\n20910 74878\n37823 54835\n38244 87864\n58405 67023\n67189 89332\n11547 28225\n33320 36704\n15695 91746\n55322 67889\n16873 92378\n29128 73834\n23315 28990\n13848 77450\n994 13486\n63772 73702\n73818 82743\n1622 36643\n18051 52984\n4677 35694\n47744 60795\n65392 76746\n77523 84454\n17185 42614\n22946 88279\n18441 56285\n2435 68337\n68594 87996\n7589 15795\n7837 30767\n18798 61871\n8212 42577\n43347 43992\n59806 81451\n28616 74348\n7810 63039\n58630 80378\n8266 79046\n42687 79829\n7719 69529\n11068 43462\n27275 54583\n34993 52203\n26144 70151\n32665 85528\n29336 63522\n38368 57477\n15444 43456\n12106 16581\n38461 62270\n38757 52545\n36132 86535\n7247 56315\n11308 28042\n33702 70543\n10967 31850\n18447 78714\n74501 79958\n14413 68434\n10589 75006\n1584 91518\n54188 70880\n39545 76500\n30404 39406\n107 36275\n14304 59669\n11435 77164\n25706 72361\n25457 46067\n40722 89081\n16953 24378\n8997 27025\n7072 44158\n4899 67949\n45034 51428\n47638 65418\n9023 9268\n50152 83353\n72963 83215\n8144 9173\n40286 44680\n308 39549\n23067 69797\n36455 69540\n75911 88325\n25223 85459\n39720 88246\n87749 92272\n67320 74264\n27239 64531\n15050 22857\n6450 48579\n42288 91967\n6105 63042\n15647 38668\n21718 22236\n33278 34266\n875 68590\n38607 60870\n46738 87394\n2464 91400\n25169 30849\n102 31419\n47811 89951\n10276 77258\n7062 66772\n24565 32355\n64717 79718\n27723 88925\n70209 90594\n34552 71654\n55631 65666\n21978 72334\n53388 58112\n76435 87856\n3020 34379\n83789 87040\n21643 45423\n13980 61786\n5189 58044\n28260 84933\n10846 50984\n11304 24159\n45819 60524\n46405 91836\n1358 45736\n28930 38916\n22479 73378\n5298 25734\n32004 47786\n23239 64707\n41077 61642\n12508 32457\n59717 84793\n14742 18642\n65953 73640\n3586 37519\n16525 25574\n1871 24827\n49074 88617\n56945 68996\n63035 75277\n605 4483\n48160 81013\n37795 75478\n7256 33367\n42213 49533\n46587 87425\n20118 83845\n42363 62413\n9125 38716\n41877 43090\n6913 27080\n28833 62948\n33115 67331\n11844 53364\n25524 71978\n67473 73507\n20716 64415\n12039 57812\n65395 66862\n10230 51857\n7803 61094\n50546 83075\n10304 42106\n5796 25048\n8382 18147\n9405 82645\n69835 84319\n86569 86628\n5583 75742\n2046 61587\n5769 8817\n45944 73582\n66229 78297\n47256 51299\n49689 49767\n35839 39891\n20549 48359\n52982 92776\n64649 88791\n42287 64517\n49869 79903\n1336 45383\n11159 60209\n48689 60394\n76002 89678\n66459 84762\n25275 38469\n43030 76910\n32638 86998\n3144 13062\n46640 90831\n17245 20175\n2292 19040\n6698 88864\n23517 47794\n44618 56127\n66947 71925\n29891 41776\n22304 69626\n7377 32434\n79619 81420\n17329 83539\n24456 87129\n26341 30457\n77395 86945\n30458 77919\n35700 49355\n62897 88155\n4644 78204\n14657 81517\n45586 76912\n14851 28986\n23554 52105\n34519 74770\n33072 56686\n10059 49022\n25267 46379\n38241 89681\n20421 47780\n41877 70281\n28153 74440\n10230 73409\n67816 89133\n19726 77795\n12160 88536\n11909 42668\n14668 44152\n49092 58342\n68130 84772\n37036 60917\n40745 93129\n9352 76426\n50769 80714\n4255 78161\n32430 72813\n7056 67934\n9241 17907\n37551 52252\n57412 75871\n35001 91144\n24335 27422\n6739 70924\n63888 66792\n8965 36412\n2946 37414\n26916 64211\n61057 64458\n65196 71966\n60390 80250\n2200 39687\n13091 55241\n18503 35835\n8604 17789\n5825 30455\n74491 81917\n65321 67147\n3575 53215\n36331 73445\n7810 19132\n42455 74690\n25041 26660\n14356 24815\n6269 75708\n46735 67060\n967 28251\n73478 82121\n69935 77030\n36842 60721\n29755 67876\n3076 76006\n30657 87553\n13036 44462\n5202 73322\n69005 92346\n79223 84075\n3546 22270\n67690 77532\n17000 78715\n66882 70534\n10326 65047\n16158 19134\n16708 72896\n9679 76123\n8578 18339\n41051 82812\n18520 50311\n12529 35450\n3904 54514\n38437 66967\n74047 80087\n59766 83983\n11244 77778\n12313 76191\n30532 56102\n61702 89095\n53799 56569\n38930 79349\n32054 32430\n45021 57565\n776 18041\n11788 83461\n21067 49446\n32573 35321\n2639 91079\n9338 13975\n68020 76018\n13015 26747\n3456 84206\n67299 77675\n12537 80564\n47374 61699\n8879 38359\n29133 55274\n19781 38000\n44203 54027\n61591 92593\n30258 92493\n1221 9943\n5945 19312\n11500 11819\n53100 61692\n68462 74482\n60487 84233\n9489 30830\n44427 71283\n13887 74954\n16415 17311\n2100 2712\n18322 66014\n78664 88835\n14671 37875\n33810 80740\n26230 71900\n53304 67735\n2728 79062\n47125 63151\n30863 91360\n11977 69066\n48247 76180\n79104 79989\n23108 87695\n69122 70401\n60787 62971\n17993 75770\n16895 40728\n42302 73432\n20471 80728\n10320 31664\n12284 79982\n9015 88504\n28575 91914\n6466 82954\n42995 90454\n3272 78085\n10101 88914\n2558 92109\n4961 23370\n440 75566\n37180 76427\n73241 74426\n26153 79634\n30577 88497\n65638 67965\n15295 59044\n50859 72733\n6340 22095\n37046 78551\n38115 39417\n24320 68147\n21667 42554\n6383 34509\n35853 74048\n58909 88551\n48017 62557\n3482 29968\n23460 51343\n9698 16883\n28186 85230\n16720 39788\n24416 89397\n68170 84591\n47087 69517\n37193 66441\n32300 47649\n22661 57104\n4909 43861\n16167 38636\n17369 18282\n11183 84302\n4109 65149\n43527 59557\n35527 35728\n60194 65368\n38549 80237\n81437 84075\n61714 78358\n32691 75706\n1971 17618\n73032 86819\n8048 19478\n29735 54345\n5207 63948\n22885 67011\n19652 75945\n32929 54031\n24246 40724\n41721 75203\n2512 89102\n64933 77124\n65925 70588\n19326 66251\n43017 57618\n5039 64629\n26845 33011\n21802 33164\n12415 46303\n784 36786\n11651 84226\n22404 47880\n61646 85088\n31358 68681\n77396 83684\n9825 32857\n8421 41475\n65025 82603\n46632 52693\n32292 53532\n55692 55814\n17156 27221\n52023 77500\n83686 85865\n26121 55192\n54604 72537\n8487 34755\n16622 51223\n20544 61401\n17163 21298\n15727 38296\n29214 54998\n1743 25117\n38342 82770\n42672 70138\n3837 82327\n38495 72619\n20518 68103\n39365 92316\n5565 66007\n34173 42897\n40816 89361\n12961 16090\n82420 83371\n12098 88549\n52583 92548\n1729 5135\n32389 38853\n31189 82568\n69358 70619\n18915 56857\n80738 81665\n23805 56332\n69186 88332\n25631 44934\n23185 73067\n89111 92589\n16330 52571\n62590 79365\n68523 91295\n14463 51652\n42627 70268\n13916 28560\n41968 91221\n11462 79674\n6449 86582\n14950 91306\n87265 88929\n12926 83741\n36876 58361\n1220 67569\n47073 85956\n2394 17182\n4049 7394\n9434 73704\n1538 56106\n30734 51948\n6063 60660\n40429 42756\n47970 93136\n79487 81936\n62225 87759\n4718 88978\n25970 76933\n19933 53396\n46719 90673\n12264 45916\n48439 66480\n11016 13169\n63647 82970\n73970 74034\n8985 34737\n27486 50890\n38437 54564\n63910 64766\n19588 25849\n60100 69713\n14870 85796\n46440 84666\n22358 81283\n18703 32046\n34761 54230\n34953 57001\n1152 53930\n942 20269\n79782 82075\n20056 55416\n13300 55827\n20427 86405\n32041 57256\n25288 77019\n42281 44443\n459 57308\n44013 56920\n4886 48529\n14590 56832\n5107 84314\n15544 85342\n9678 75217\n23655 72593\n18269 50182\n7453 22139\n31630 43898\n12111 14911\n68361 73608\n12039 58646\n20980 91324\n24520 83705\n23330 83034\n14040 64215\n21175 66466\n8897 91777\n22956 60148\n35151 44404\n21235 60534\n37537 49459\n2298 25780\n53082 71246\n25573 81058\n50317 88367\n4988 56263\n89026 90828\n6445 36937\n2975 90570\n22650 34384\n1622 40957\n35098 64454\n12514 49828\n16346 84075\n25872 84313\n16129 91992\n1799 12719\n23266 53042\n9830 42676\n47918 59142\n11804 61147\n11181 64931\n18550 44972\n36692 88103\n31117 66271\n12917 27317\n31590 59766\n15895 81065\n11686 18163\n79929 86468\n56243 86216\n38465 41761\n32026 80922\n21820 44376\n13623 67121\n21752 52092\n3668 30113\n3300 48091\n9410 82204\n12040 65591\n50774 87970\n57715 80790\n51986 67317\n7584 66167\n37633 73731\n40647 85361\n8004 59610\n25169 76292\n27540 74261\n15912 67755\n80366 87807\n3773 45903\n49104 75191\n20475 67762\n8670 36728\n716 32333\n65572 78258\n11506 54771\n53817 77381\n69124 85037\n2893 25734\n7522 71641\n49889 53266\n65152 79072\n6278 31983\n62616 74786\n52726 69175\n1915 64725\n60785 84416\n13750 82575\n61153 79855\n5951 62093\n83217 84665\n23660 63366\n1099 8932\n59255 64716\n62008 93086\n52362 79891\n35695 61652\n54326 76035\n1972 3368\n15791 65921\n78383 79400\n35285 53419\n3683 19182\n23628 36857\n70102 80394\n61482 68608\n10853 54147\n69027 92288\n49080 52674\n22770 83138\n26063 68697\n57650 85105\n23240 91262\n23393 43096\n30973 36780\n9639 73956\n50731 67067\n29235 42092\n46472 68796\n73335 88599\n23375 84288\n36418 65810\n3955 43927\n26670 35007\n9856 52577\n7398 25405\n34392 55185\n3765 33253\n10614 16820\n20661 78667\n64670 89315\n14519 59575\n22734 38427\n26867 82454\n4233 8112\n40345 70959\n53056 83091\n16523 87452\n19326 26605\n8362 82846\n26119 73023\n15249 24319\n11484 61150\n5904 73514\n47600 71492\n3505 81337\n58371 64899\n64585 73348\n9416 14072\n72979 79029\n47278 81343\n70235 81163\n26798 44443\n16847 90287\n65388 88392\n30639 87929\n5866 89257\n10964 22057\n45133 88594\n25521 78567\n32246 77311\n46346 85148\n16020 50950\n26532 46573\n1179 39634\n76826 78054\n72595 86156\n28546 72910\n47704 60791\n63451 86103\n16482 22112\n62261 90540\n31947 92258\n13831 92521\n15343 34817\n30687 91157\n9769 65988\n20572 28879\n5648 16590\n471 72978\n31963 47890\n59037 88358\n16927 58626\n44274 81577\n25789 38870\n24444 89022\n72244 90042\n28413 92741\n7683 21499\n66465 85012\n52718 56533\n13033 74593\n29382 36131\n1914 77852\n37526 85070\n78289 86373\n3614 59868\n84740 87619\n55394 61926\n4478 61288\n13616 80726\n64703 79017\n8175 85152\n5623 16265\n14851 35916\n151 79203\n25740 81217\n32444 78604\n18741 87919\n12508 49116\n32946 83448\n70542 86547\n31103 61286\n40116 80854\n24350 72495\n48650 69085\n74309 76375\n42207 43746\n5562 18370\n40525 74784\n5092 71732\n44761 65006\n15856 22887\n10881 64753\n35497 50024\n19894 24922\n60039 78006\n45797 50836\n73558 73857\n59190 72687\n9376 20482\n50647 63078\n6182 12765\n68534 76117\n32110 48153\n6398 85560\n26975 48236\n1550 79501\n35556 39783\n28685 58765\n81793 89500\n18983 81125\n70 80270\n10318 63135\n22878 31538\n17836 77259\n16801 72435\n7179 31814\n44056 70984\n3878 17566\n21722 38045\n62922 73384\n57682 58136\n36711 68110\n1319 82881\n25799 28722\n32049 33190\n3069 11949\n55664 83818\n10194 32863\n27941 71042\n3093 46403\n18425 43237\n49701 57793\n43227 47561\n32037 32682\n24202 37895\n25113 83825\n47975 78381\n49561 88993\n62590 77474\n61605 72611\n24220 56322\n82532 91271\n35107 67157\n9929 49946\n63157 81943\n2975 20594\n33318 41079\n22231 23869\n63093 70083\n18449 78877\n18433 77832\n49114 63882\n33762 88612\n259 79551\n14409 40852\n50762 90141\n25075 85067\n18392 62697\n62981 68420\n6023 91657\n377 31566\n1222 58909\n25457 37229\n62957 73700\n19340 24344\n2804 55166\n27324 41828\n26433 86603\n40323 40957\n14718 23543\n43698 75622\n78076 90830\n68168 74382\n13221 28729\n26070 45830\n62403 89876\n3294 90256\n46407 50420\n38857 44085\n20541 20553\n46610 67412\n28680 42420\n13620 35739\n807 2531\n35855 50046\n24171 47441\n48540 87420\n52842 92240\n9784 61996\n20027 40611\n22894 25512\n19395 45809\n42246 90525\n50551 54628\n45013 50553\n10322 89668\n6875 51761\n27248 38003\n13619 75682\n47402 91774\n15445 20592\n11819 54546\n63128 92616\n7436 26063\n27647 84288\n70414 71784\n51258 84370\n33088 63306\n41237 51977\n22306 47551\n24768 89855\n33191 52355\n18833 26133\n24537 78991\n31339 77039\n4451 49075\n27303 82076\n81442 88986\n2551 40634\n68404 74469\n11787 37521\n46894 75910\n9394 64607\n13512 33971\n57326 58118\n24197 46822\n10676 32369\n10910 47464\n50675 56420\n43712 67576\n13134 35592\n12503 82373\n9984 85512\n32024 92034\n10117 83833\n1618 14966\n40675 64277\n17209 91889\n39665 68248\n13563 22689\n51419 64531\n26450 31005\n7414 17466\n16472 64843\n14798 51637\n23828 92850\n55300 80279\n42531 52384\n33155 45309\n22565 39977\n49450 59379\n36560 67510\n2563 84774\n65185 76269\n43486 43792\n20657 87792\n26696 29225\n38389 41538\n30406 91736\n37027 42675\n36237 70825\n80485 92123\n22687 48161\n57334 57756\n22706 56466\n3241 28776\n22047 30435\n57132 72934\n32918 80665\n70257 71924\n8920 76700\n8917 18307\n36832 49803\n58949 61758\n16560 73413\n55717 64278\n54444 54670\n64315 72061\n32810 58944\n44015 46213\n8617 36524\n28591 38106\n24685 65887\n1399 88784\n71820 78307\n61535 91773\n39060 92626\n27736 62674\n21764 63486\n20000 76275\n10552 80892\n45911 86855\n88634 90868\n50507 59648\n51077 71271\n23762 79629\n42333 90294\n48726 67381\n87965 93058\n13498 65230\n18662 85301\n41764 67783\n13629 92342\n11812 23384\n17691 72365\n55486 82655\n11376 49438\n20004 92932\n22403 24599\n10304 29183\n491 84001\n70910 87879\n839 38242\n14900 88199\n85006 86946\n51077 55898\n7667 37574\n5429 68864\n24900 66749\n27043 27845\n54379 76228\n74938 84747\n60347 86520\n42196 88248\n27239 82736\n17212 49851\n36366 54905\n82835 90680\n29877 86072\n41350 49754\n37892 92511\n20678 43280\n28887 84919\n44961 78489\n43184 62566\n52027 53966\n27892 39794\n33944 45947\n56044 81096\n65305 92518\n24620 40422\n69609 69910\n47537 64777\n62965 70122\n41318 50642\n53309 68713\n41929 47855\n66874 80589\n41184 91347\n24391 37649\n24830 91046\n15769 69610\n25029 81712\n2780 78944\n6781 79933\n11025 43346\n13717 40061\n50627 75473\n17851 64609\n19097 79865\n27781 80756\n49999 87760\n67253 77574\n4286 33485\n26458 45587\n51423 76408\n9160 41291\n20317 28146\n32351 83106\n2411 14917\n61295 72572\n8550 60542\n22056 62093\n47800 77094\n11300 42526\n52924 76338\n7552 31490\n5832 33484\n9575 63553\n6954 76346\n362 85517\n13544 91149\n44498 58566\n45804 59116\n51904 90468\n4814 31542\n45741 53758\n3671 86027\n41507 82442\n22973 68786\n8063 68289\n22571 28417\n51556 79051\n48886 76907\n45117 86708\n62536 76226\n67291 77409\n52146 56013\n64048 72778\n61920 91320\n3463 11400\n62154 91082\n77473 89016\n44122 56804\n20809 78526\n12257 17219\n10405 12156\n21309 30862\n16154 20759\n81833 93138\n45009 91014\n19129 83688\n31429 46027\n10140 14244\n50215 76876\n4002 44319\n18728 77101\n5509 54090\n32198 83872\n16045 47220\n38393 79500\n53361 75836\n51479 68882\n11412 23661\n66858 85733\n37788 39679\n21395 77130\n11134 43273\n38928 42535\n32832 36514\n4118 42840\n47648 69942\n19244 43815\n26587 61507\n39043 48054\n7782 27977\n89412 90189\n10395 21084\n10309 72004\n17412 56857\n24874 70077\n9724 91875\n29473 72627\n31022 80894\n6955 40955\n33106 69060\n16184 73987\n7472 88833\n11413 21115\n2987 75756\n14660 51739\n18569 37554\n7547 37896\n20340 21249\n21371 80631\n21989 38383\n29419 56674\n12238 83347\n82226 88092\n36054 85853\n8538 57538\n11366 59735\n6137 75488\n75949 90634\n3284 23920\n39142 76226\n42425 92028\n70857 85144\n4418 65191\n39889 61690\n61988 67289\n8332 28074\n27603 80160\n13256 72251\n149 82113\n26263 78418\n4677 87489\n5572 13778\n13847 43203\n6749 49825\n20449 29637\n12179 92703\n70532 80039\n14280 39129\n7834 13135\n69800 85734\n834 30948\n31687 67316\n86526 92633\n7859 26164\n19085 34232\n18986 38919\n31279 78371\n23771 39619\n14636 50194\n37274 77437\n9069 67708\n35107 45337\n66620 85325\n37501 90203\n34983 44560\n47419 68465\n27612 39479\n12461 78467\n71752 72687\n37160 60588\n36884 85983\n38012 44719\n27796 29559\n15600 21700\n36763 57539\n37110 80724\n321 56374\n17363 66877\n4766 28983\n21758 27328\n50417 66630\n8017 86102\n38737 62130\n6062 7753\n42506 90168\n74922 81341\n2902 51311\n1898 55684\n74514 81018\n6502 23385\n11307 63428\n39938 86827\n42263 76724\n79970 81360\n53752 56386\n13299 49941\n50400 88330\n73941 81820\n27581 59861\n76855 87462\n76845 85428\n74292 78045\n34660 75953\n22335 86709\n13630 23471\n52337 75581\n22563 92947\n53255 63841\n35513 66086\n26546 56580\n12262 59026\n50504 51297\n8603 50657\n53009 89347\n11883 84301\n20514 80369\n56191 83871\n21788 68158\n9649 62485\n91032 93176\n3168 3776\n16232 60933\n45994 70979\n20231 49906\n12704 57905\n41677 92377\n30864 92612\n7777 18311\n67665 79652\n18381 66466\n60927 81519\n2153 25783\n46294 72003\n58500 80143\n36721 62149\n31661 90889\n26606 86453\n33792 63426\n29282 74479\n29082 72992\n407 66922\n4370 52058\n17140 23131\n3117 8347\n8618 87132\n9319 44078\n28732 48766\n897 90406\n29641 52472\n12101 55266\n71999 79932\n13615 87922\n9215 74799\n32409 90209\n42805 66924\n12355 61105\n17812 76539\n10690 28759\n45763 76804\n58072 76117\n34877 35120\n51311 87928\n55325 71981\n15475 64258\n13614 64322\n587 10381\n78009 82149\n65454 83822\n34277 87481\n78747 82914\n52338 83659\n38362 68666\n37543 75491\n888 65529\n56613 70361\n91188 92254\n70400 87054\n20863 26186\n12373 27634\n1306 59434\n3822 7616\n22598 73140\n58723 72033\n18680 44707\n59981 75065\n29505 63634\n10695 64234\n46035 85553\n48323 55449\n39300 67037\n16777 58841\n793 47600\n53056 72136\n43338 67488\n57544 63114\n24330 29971\n49110 50612\n17025 27991\n57258 73881\n46124 70186\n50630 74987\n46737 87281\n39296 92202\n9818 14424\n6478 78306\n25 61862\n74958 87335\n14835 19407\n9357 13664\n78203 85614\n33372 64755\n10692 67577\n48357 85244\n29694 72414\n49134 61020\n67989 71807\n23805 61457\n20140 40721\n79921 83748\n67048 91204\n23259 34172\n5383 61759\n9631 41416\n79353 84829\n17415 55921\n31892 91843\n59860 83288\n29252 70907\n20195 59726\n42014 53763\n3083 78361\n43066 77238\n43369 79046\n61477 65408\n24824 88696\n34083 79183\n9515 47450\n39822 87096\n51762 83996\n8256 63180\n22052 65123\n32218 82024\n71929 82635\n28104 81235\n47363 64931\n5417 65942\n78483 89133\n19866 81699\n25502 63919\n26321 72439\n56964 80969\n49501 87585\n28781 84613\n25042 87499\n5091 80157\n41781 45106\n57225 80986\n23957 67924\n19058 84228\n2372 60327\n22183 93034\n87 92264\n6222 85102\n34395 79552\n66200 75972\n3086 54801\n26265 73498\n57919 73515\n44057 79576\n86013 90449\n8085 72953\n44804 50915\n51166 54339\n69749 74431\n16712 75156\n22495 35600\n19704 37198\n71291 91285\n56610 66041\n15040 86137\n50716 72409\n53047 56106\n40073 90777\n20570 42847\n18564 75336\n12455 79968\n79649 90903\n38959 77697\n24568 78776\n44931 77152\n58883 89109\n16448 46627\n11853 35378\n47556 56390\n20873 69612\n43415 89814\n68161 80849\n76553 78192\n52160 84181\n5733 50872\n24211 44949\n36984 49990\n42587 91275\n89061 91225\n84791 86715\n233 67871\n61527 63841\n10084 10900\n41808 61973\n28302 60871\n54149 87786\n39595 68901\n891 41190\n30108 43394\n55823 72457\n1548 57438\n50644 65152\n78694 86655\n16487 48549\n6604 74008\n19435 23885\n14139 45101\n39346 87513\n5480 35958\n42081 81471\n51233 68430\n12552 42969\n3481 78218\n41923 52568\n51586 79147\n10791 81499\n28892 82766\n24282 83151\n30164 70206\n52194 60426\n29469 69797\n9381 41059\n9931 63236\n25257 69733\n19047 72055\n17952 42320\n17962 87222\n7686 43805\n33186 59713\n50104 52756\n33412 78086\n37476 82801\n7738 31437\n45284 75602\n21612 42738\n24383 31600\n10809 18353\n32898 82957\n52595 82436\n18982 49182\n26423 36112\n64518 71767\n9463 59075\n72614 83339\n22575 65550\n71824 84136\n36672 70127\n65168 82028\n48198 91828\n25275 32625\n7354 66097\n9180 55618\n54545 78291\n45385 65317\n25220 49009\n35102 55996\n13778 39535\n41623 68492\n70511 90859\n10568 85118\n24100 50176\n2606 67072\n46021 88065\n2754 16685\n26783 43929\n19481 47618\n38911 44266\n1649 17634\n57299 58406\n17553 31710\n38184 69479\n51689 61687\n15621 84006\n882 14394\n28872 63788\n19270 79241\n57198 63012\n16783 37526\n13199 74813\n3774 37243\n18130 47350\n69130 77722\n20341 28622\n53619 62281\n12218 22187\n14557 63698\n66498 85294\n39330 47081\n50398 79617\n42457 53084\n27823 67205\n6328 29054\n70144 88345\n43857 70572\n11102 81707\n31287 89104\n28505 92368\n27701 47241\n73917 85112\n70219 77569\n50641 91022\n2795 72787\n6846 13349\n52166 74566\n3483 6345\n75715 86387\n6182 19160\n44860 79658\n17664 43662\n2620 36978\n75075 81650\n6357 69854\n400 65832\n27383 84614\n68585 73395\n56528 58126\n29814 49065\n52528 56730\n36621 71281\n21960 87652\n11321 49877\n12922 89936\n24070 82240\n15380 60964\n26432 40980\n36040 90979\n2732 81753\n50168 72329\n28277 42643\n43031 91282\n36895 67360\n50983 65538\n43914 84968\n1251 59340\n32388 92566\n26725 73116\n26721 82926\n12428 88899\n22453 45597\n8912 50639\n87515 90858\n18025 80594\n36146 48668\n35994 51039\n77799 81931\n80833 87493\n58720 87791\n63888 80100\n5448 42266\n53253 62107\n48641 83983\n31368 72042\n657 76280\n3273 11158\n54487 81507\n36431 86107\n18885 84406\n48069 49227\n50186 89337\n7515 90071\n13252 58324\n60677 91463\n32850 63066\n42584 60244\n9206 70394\n72276 80122\n24712 64486\n13140 25660\n89975 92621\n25391 42650\n67249 88940\n52563 70345\n27518 83474\n22907 42907\n8736 31429\n7204 86542\n27536 89129\n26016 40569\n19752 72691\n35368 82898\n67416 68600\n21961 65660\n50483 59749\n3693 68097\n66755 76057\n29331 62525\n2621 54028\n24217 65637\n17777 23579\n15837 44268\n66173 76227\n59844 66849\n8873 76730\n58170 66788\n19074 26418\n13495 31936\n30163 37785\n52128 60533\n78284 81687\n68722 82007\n56932 66436\n19590 59202\n24070 63913\n12508 15412\n44591 66368\n8504 50501\n5266 22327\n5507 75901\n39065 43869\n50259 73537\n40244 50484\n55044 76840\n337 45110\n78682 83006\n8065 46637\n59125 64232\n47029 85212\n2708 70384\n760 6737\n30473 50885\n90716 91750\n17125 76636\n61164 87460\n7040 45900\n1431 73485\n539 23265\n7325 50787\n65687 77876\n21777 57413\n11776 16002\n13367 58540\n17740 49752\n4014 79927\n1833 41804\n46465 55161\n14974 21406\n14803 49065\n35827 82726\n51436 63137\n24015 83172\n57110 73644\n7517 66829\n54857 80406\n71528 81020\n1709 38575\n68713 86647\n2365 67288\n68783 91586\n35761 63163\n70191 80172\n54124 64378\n45424 49141\n12619 51362\n29004 81607\n40155 44256\n905 38113\n12999 13783\n2437 82437\n25382 81338\n57833 82509\n35761 54975\n12531 69238\n14584 74787\n12345 72610\n31769 67480\n40738 43999\n7378 58538\n4983 60685\n31583 34743\n14147 86902\n52105 84923\n45288 92661\n5711 93125\n66953 80481\n46605 64086\n49749 54753\n16188 51026\n70389 78358\n9059 65043\n31245 53579\n29717 45412\n42209 73781\n319 41971\n12688 16990\n3817 38383\n2726 86914\n16457 79437\n6679 11724\n58046 89685\n8853 43997\n401 18061\n17079 47202\n26520 79317\n2292 31957\n39089 92433\n8629 73818\n33863 60846\n60070 78547\n17866 37966\n25872 72483\n53133 58622\n6417 18188\n76023 86196\n71066 80936\n40583 48890\n17437 29017\n52753 66057\n54231 67317\n8256 52498\n27937 59530\n28879 50853\n17919 80456\n54228 89771\n18646 38404\n44905 89138\n35229 68199\n40093 72071\n17782 49891\n76089 92972\n1653 79995\n66899 81190\n3419 88962\n44282 54450\n44764 73508\n23197 68689\n13288 92726\n14495 21748\n1485 68656\n20720 28627\n58867 83660\n28387 84314\n10035 88782\n71426 84887\n16814 18007\n11051 88667\n30596 38926\n65156 78174\n929 12391\n54347 57991\n22253 49287\n5893 8786\n15596 53903\n34717 58906\n29512 38465\n18801 73575\n25679 45162\n46661 61748\n20093 77775\n8133 11973\n72953 85492\n12114 82032\n46980 73856\n3221 92317\n3286 11571\n68610 79101\n61571 68508\n39304 91143\n1292 24174\n66227 69373\n78896 90439\n47889 75846\n58848 75723\n20768 28519\n23191 39509\n10645 41431\n44954 65960\n75984 85548\n38029 86950\n27241 31972\n6792 6824\n17276 85641\n20952 89344\n8816 45770\n5700 82332\n134 86549\n81589 82392\n3360 12297\n16218 31207\n63091 63305\n8677 15957\n29836 83068\n28617 84831\n59766 86578\n66726 77579\n35899 89446\n71143 87937\n20336 40379\n12420 35753\n2709 44367\n51564 62766\n28005 58470\n38789 59875\n25264 61832\n8497 13966\n41345 48221\n27279 34279\n10677 86109\n58234 69374\n29892 85092\n54035 65477\n23114 28039\n7242 81983\n49548 68114\n21323 76389\n66725 85020\n75448 88003\n44406 93028\n1534 76851\n21150 64404\n1578 82456\n52787 66238\n10364 39319\n50945 68229\n5691 31971\n57230 87054\n15446 61534\n31525 33245\n7904 66479\n6760 10246\n73833 89455\n2147 93015\n19798 49004\n8898 38847\n5235 43709\n20271 43874\n18325 26458\n46100 56887\n23747 76037\n28545 83892\n51531 71576\n45347 64485\n34819 56260\n26344 59320\n16104 25977\n5361 11990\n34182 51388\n17654 59514\n16234 27949\n51102 61241\n16572 51398\n6208 8719\n51441 88159\n22106 52491\n44761 54010\n20730 42536\n58582 69912\n9453 10640\n5589 60825\n46310 59746\n6323 29157\n14495 50667\n4903 54439\n19495 46957\n59465 77473\n17296 23469\n68851 88116\n39060 77426\n34030 77614\n2594 7920\n14298 30778\n49947 50903\n39478 44227\n77997 84585\n63427 64864\n1785 6928\n60797 76365\n174 81774\n10108 77598\n57441 72056\n30743 68915\n72292 90395\n13075 18439\n25779 83869\n679 67078\n7818 21764\n35210 89159\n39404 47375\n48533 85483\n18786 75777\n18458 92994\n19334 30200\n5358 33248\n8971 57749\n6123 91913\n42206 77615\n37967 75199\n42534 63650\n19980 91464\n7810 61799\n21850 87111\n67289 87540\n18131 74093\n16934 77950\n16091 27747\n20971 52169\n14596 46650\n19010 90580\n19150 53052\n19642 63977\n15946 46693\n72516 89337\n48536 57787\n51077 81868\n23584 57742\n58005 79021\n10439 82520\n7667 20384\n69979 80437\n5824 58230\n20160 75317\n42447 79790\n34385 38299\n3298 42366\n53958 84217\n17076 27554\n26945 75947\n11636 76418\n7154 66805\n69095 81850\n35725 91756\n23910 39598\n5441 30994\n13663 54311\n15727 87249\n29646 41298\n77676 79517\n20562 38184\n22802 32247\n31366 77254\n37872 85690\n29898 90032\n13835 54307\n20822 26330\n11098 57232\n57937 78430\n15021 40042\n69207 78481\n35682 48004\n63940 66969\n39185 42536\n27012 56261\n17875 18290\n6483 14265\n56080 59422\n375 90542\n7991 37116\n64868 87962\n44639 86421\n28039 84342\n65081 78881\n12581 31988\n15042 74287\n23467 49664\n6937 45495\n19330 65279\n65360 74438\n30189 83748\n12068 84872\n73470 89638\n74324 84481\n18635 66280\n61944 88730\n47530 61100\n6085 13643\n57633 68836\n53215 65116\n21963 64075\n48069 49583\n44429 62186\n4565 24331\n32528 59417\n15199 61871\n24429 38286\n9903 19354\n4960 90015\n19077 84007\n51399 53562\n61049 70900\n64389 80006\n50900 80346\n17228 64161\n14514 71548\n37409 78251\n8905 71218\n33899 44975\n58412 67372\n4721 50026\n57301 68738\n32567 81900\n46929 76415\n13056 16600\n42367 81243\n12761 46746\n54918 69312\n38899 42269\n91224 93150\n10926 89847\n32671 44501\n37988 63729\n46651 75834\n4478 53476\n37277 91935\n24730 70721\n9828 27537\n29799 77468\n54059 63107\n51755 83854\n45502 72278\n16470 89019\n3920 59515\n53671 88942\n77686 92048\n20722 69325\n2285 82168\n73714 75101\n24906 73116\n34365 66686\n10375 46320\n21377 69406\n8852 55544\n17900 60127\n39876 60901\n6828 86126\n28273 59029\n27484 61098\n9915 87574\n28128 48906\n36118 37792\n37888 62206\n6779 42314\n35194 72198\n63993 69764\n14276 75700\n74549 88522\n22388 90931\n11962 49535\n13747 59500\n39302 40167\n27980 61193\n20488 90724\n9735 61760\n19589 71800\n53497 56203\n26015 56732\n25300 40292\n44788 70094\n27599 67719\n18521 91932\n26028 89965\n38554 64752\n776 47411\n26153 42186\n18919 66509\n21464 88785\n56874 90677\n44878 45742\n19184 83086\n12832 46024\n17930 51806\n63908 66076\n814 11886\n8688 29408\n21089 77926\n3216 49336\n25821 50047\n15901 29512\n1052 49024\n34415 55319\n29994 63248\n60460 71283\n54388 76100\n18678 27818\n49413 51348\n38084 79715\n42749 57836\n25088 83975\n16412 69993\n47534 65404\n12221 17858\n22706 39609\n4655 91755\n71052 75792\n6105 27727\n52658 55168\n62776 74336\n19588 71477\n65568 87033\n34569 49673\n29403 71236\n41624 66296\n74893 84530\n41824 81007\n42272 65593\n27658 71084\n68048 69342\n47292 89088\n28015 40047\n57309 70794\n6195 46089\n51225 87567\n9793 59445\n54165 62984\n14791 47598\n27903 77057\n56517 88058\n1534 10000\n2221 43948\n23965 86278\n7577 16631\n31146 47385\n24387 56844\n50317 66831\n3039 16278\n5497 58248\n17735 37607\n26224 86681\n27250 81336\n3809 79531\n58071 66475\n13887 69153\n64005 77363\n15384 32204\n49125 73969\n41825 57002\n27330 58908\n24734 63878\n44332 49941\n55551 78995\n2074 53508\n34062 37835\n40376 49670\n16711 68183\n74465 92959\n18466 67139\n10761 13274\n21041 77131\n76151 92266\n8034 49501\n36582 81699\n32968 88499\n3833 42138\n8629 30111\n43366 50163\n16977 46499\n70555 71027\n11810 30334\n52917 60470\n78980 92399\n47512 64363\n58050 68469\n18830 34945\n31221 81563\n5475 9879\n52999 60246\n67 50321\n12737 46884\n421 47490\n14338 40047\n5392 89648\n30911 35905\n595 63502\n54262 88193\n66638 86042\n40665 53492\n54148 89644\n2095 24563\n49222 92423\n65938 71681\n30092 85341\n316 77025\n51946 64371\n52605 63457\n22843 73105\n44377 71157\n944 43599\n58732 78969\n23437 79796\n4042 73918\n3216 75766\n71875 87821\n8500 83613\n53785 88393\n2160 74066\n51873 59809\n11048 45264\n48417 81563\n4589 10579\n8607 48263\n10511 75871\n5971 59254\n70591 79058\n22949 53709\n65489 68723\n36617 67196\n35397 75251\n18610 25401\n24544 35371\n1983 85541\n57614 79361\n67742 69448\n64715 70583\n25340 80259\n45593 74793\n42616 54719\n20193 31582\n34335 74860\n32996 39511\n8356 32656\n21523 34039\n4918 47218\n17114 72367\n76782 85094\n70522 87692\n12428 71926\n17392 21691\n55847 60088\n24368 91724\n11314 58082\n10193 63954\n37496 72132\n53783 63515\n13469 66313\n17769 45970\n40373 67626\n48696 74668\n59161 88298\n12271 75698\n20028 57762\n52048 74059\n67250 88626\n18821 35706\n75452 77415\n15959 73744\n48204 88452\n5908 45656\n5284 38038\n12446 68139\n23180 78252\n36423 45869\n13368 38932\n71881 83193\n70136 91252\n16880 52484\n8988 20907\n13834 67850\n26356 67282\n3886 55253\n17385 20835\n29559 45201\n47144 87519\n8782 16197\n6596 61755\n30443 34102\n7647 72524\n10141 73208\n8733 32019\n34290 74604\n71588 91821\n34614 46184\n24602 54466\n12803 57158\n39591 79024\n54409 83702\n12497 57516\n65844 70626\n33753 57050\n58634 85797\n52297 52713\n23464 73323\n6249 70723\n67749 77764\n34093 91250\n37750 84858\n9978 86357\n2847 90007\n6905 56118\n37581 92545\n44819 59830\n17099 91910\n2725 65068\n8031 23337\n26208 87829\n20779 88083\n36313 36875\n18528 41030\n20475 91506\n52340 55558\n7277 27948\n64176 90543\n6012 10008\n50093 58771\n15295 19294\n13156 89734\n11029 89023\n4099 40586\n807 5679\n25869 53849\n31454 64409\n18526 34440\n14962 69563\n47030 58651\n29325 31528\n9463 33140\n92 91614\n55011 71247\n39917 82515\n2266 49375\n32568 54223\n9699 26849\n72823 74178\n45699 61980\n8507 37810\n15285 69843\n46023 50886\n32465 87624\n39241 78708\n17353 58961\n32153 51545\n7172 80292\n28744 51881\n18678 28859\n10033 50452\n43834 68439\n19044 42842\n33082 55931\n67449 68664\n29169 31084\n35895 76478\n83182 91917\n44619 52842\n7007 59000\n70388 85744\n27668 53893\n8984 45755\n1547 78967\n40467 47582\n47914 87628\n64843 91826\n34797 47846\n3574 77178\n5828 61741\n43899 88092\n11541 88692\n3970 36050\n4472 85903\n2407 35826\n47373 80198\n63700 69695\n62423 90037\n10785 51567\n52363 60510\n21966 70618\n87292 89805\n20759 39330\n44205 64678\n75847 78477\n51813 61580\n10884 76010\n11547 47547\n16997 86399\n23529 44552\n13706 63069\n1154 53237\n11467 48724\n77979 89362\n25912 86224\n22402 43193\n30317 90331\n4163 53848\n38099 69186\n6360 88997\n6628 72430\n40131 92762\n49079 84741\n45985 47650\n68614 77144\n18263 19069\n80380 84243\n49438 88480\n57704 73271\n20775 87104\n3204 16585\n9380 64000\n19495 49719\n4589 33518\n41920 45388\n8610 37776\n18401 55885\n1440 54418\n41882 44794\n38015 55240\n42023 55117\n10159 10638\n45815 79769\n14354 19254\n15330 20272\n32239 84957\n10517 55043\n26297 50238\n67115 83038\n10784 87526\n12559 74672\n22565 89905\n39458 53579\n1775 30517\n50820 64858\n24913 64322\n15973 37803\n56113 57928\n35525 83817\n34007 63083\n25525 79574\n5610 21947\n30229 61761\n56295 91545\n6532 36269\n11143 77651\n17977 77129\n72062 76777\n16245 42404\n29077 90520\n56248 82149\n2769 3159\n46852 55216\n27661 91398\n10164 12532\n9626 39487\n8039 14071\n42725 79499\n4612 49213\n10181 36558\n8878 93000\n2385 7962\n10719 65389\n64896 84655\n1440 30166\n25620 26828\n76986 89272\n65065 84176\n51862 56940\n56976 83802\n73130 92184\n36513 86917\n52933 71633\n4727 74219\n73391 81229\n6026 82434\n42521 74125\n31974 53097\n11614 46042\n48594 51585\n18305 88931\n20093 68914\n15486 77610\n25827 45733\n5226 46428\n22444 76066\n17983 89053\n25294 28200\n55340 67565\n16486 22202\n46114 88031\n19917 64213\n75872 86393\n6615 75868\n12307 25582\n5298 24200\n46715 58959\n22704 44031\n2776 68894\n26359 69142\n20435 78132\n30810 55880\n44536 61579\n27836 86240\n28860 79085\n25894 69126\n13943 58777\n49978 91618\n2716 53887\n17528 29591\n35217 56043\n13299 79903\n7147 83494\n34938 71880\n17134 84355\n51297 59509\n29072 76844\n13367 26378\n24834 49898\n28761 60115\n51607 86315\n64956 74725\n39413 41729\n42189 62555\n8678 86120\n66175 80956\n17545 28901\n47001 48622\n5873 69482\n35053 90692\n15951 46204\n41401 48040\n13181 88211\n14060 86373\n11571 72393\n15568 70988\n41291 44155\n19281 77569\n13647 80721\n60324 76572\n85363 88945\n13701 38149\n60841 89605\n66272 82962\n14669 28082\n61235 70868\n80802 80901\n41683 58193\n9224 83500\n3962 15286\n60059 79188\n31844 79624\n1869 71868\n86448 90578\n5840 56895\n17283 39438\n44185 80854\n49511 59307\n18777 83382\n33010 88456\n2714 49760\n2317 32852\n10151 19917\n19812 72222\n33417 65529\n37076 48878\n15489 38252\n430 65978\n89195 91071\n1533 84811\n14722 45130\n6153 74686\n32209 79196\n10897 75072\n57890 62473\n33301 91488\n51515 73554\n81882 91753\n57994 90842\n14805 84991\n554 80200\n20333 58691\n27415 32559\n88140 89792\n15175 36267\n57424 91404\n62555 69857\n37300 90776\n48376 77360\n18689 58153\n65147 83162\n25169 87065\n19298 40442\n9426 73382\n18486 74669\n40474 81769\n74352 91445\n73447 77621\n49822 51789\n6795 40623\n635 8000\n43070 73431\n158 12641\n14484 64298\n72497 85055\n23020 50928\n64140 70472\n37409 46031\n655 42556\n5277 59090\n39923 61059\n30495 55676\n64 87204\n1603 23137\n27822 69257\n55528 71429\n88095 89105\n73819 80866\n52098 79217\n27138 92597\n4793 79350\n3616 40250\n29299 44850\n27371 48773\n21868 31704\n64787 89559\n16012 69921\n15095 44455\n19521 59357\n52148 70458\n4431 22667\n3354 10346\n37748 61314\n8999 91736\n53084 70965\n1171 17041\n11603 92447\n41875 52527\n35487 78995\n9329 78988\n57689 63063\n21568 29751\n9340 46800\n51933 72107\n37055 40703\n23518 29519\n58041 68611\n33447 63974\n56817 60888\n18119 90505\n48039 73044\n23050 92498\n27062 45228\n49293 52546\n53828 73531\n87596 88493\n5988 86955\n429 6624\n71270 76679\n15265 92436\n21733 34761\n51184 90581\n2956 48285\n18243 63586\n56992 60701\n37006 39417\n47024 71803\n35784 69011\n32977 64411\n41003 59141\n36897 37292\n27684 59857\n14069 71610\n32502 62702\n7555 52955\n74645 77682\n30498 56538\n36556 45884\n62544 79568\n9847 83003\n16825 38638\n30262 70364\n45665 49874\n21556 55559\n57121 76558\n26665 55480\n10136 59824\n58837 84879\n36370 54906\n5307 57514\n34220 58928\n14880 35166\n53923 77920\n11199 84399\n28079 37046\n15755 36231\n12265 33014\n18282 89031\n64080 70704\n81142 82341\n5652 6615\n6727 69466\n52809 77779\n15948 77358\n48586 48923\n2339 47383\n36210 40065\n45785 49229\n59908 64609\n1128 20323\n17381 38793\n42474 57778\n12030 45583\n9020 39286\n865 29714\n28260 51871\n38350 51657\n13667 58554\n5719 85608\n3664 28154\n54248 59279\n59232 81823\n337 26720\n72114 81772\n36658 80141\n17252 86183\n11006 92218\n17858 21698\n7617 60725\n6106 58955\n51690 58148\n35482 77685\n12618 22911\n5977 24505\n57884 87866\n1152 4075\n9080 48590\n17382 67219\n30413 80294\n64918 83982\n19701 55389\n11659 55258\n6601 49199\n5953 43862\n27968 53579\n11874 78457\n58072 80391\n3516 85363\n44330 58876\n10277 71684\n45973 52807\n6173 77086\n19453 23843\n5462 68032\n8895 60566\n5459 25384\n56877 76026\n44968 77975\n17526 64703\n28061 61421\n32722 74280\n76521 88700\n6518 13207\n13148 55579\n2277 58010\n44319 62364\n9599 71089\n39275 40354\n12684 42283\n36444 77194\n4558 32658\n73274 84903\n52800 55891\n53722 62891\n21022 73100\n23146 35337\n11509 73581\n30673 36327\n14888 44275\n18129 44385\n271 30491\n29510 36473\n5957 57297\n6297 77563\n54361 89137\n1762 5817\n4462 26070\n6177 51681\n49578 54096\n38284 44383\n18562 40938\n37667 90061\n18931 50586\n9727 75548\n12898 35993\n19553 80498\n9919 51441\n14213 72851\n24868 56826\n22405 89743\n24686 59522\n5190 32465\n6245 26975\n13492 76721\n1850 86333\n79114 80675\n11921 56681\n41493 60180\n15195 40698\n39941 85451\n26589 26752\n23679 74220\n4716 14870\n37405 78208\n30371 64730\n41877 82870\n41769 56025\n5307 50819\n19272 29743\n59248 66758\n27877 70245\n5692 69116\n1349 8632\n35026 73169\n51888 56102\n33204 81030\n66264 74854\n33494 49816\n11248 50740\n9805 45416\n9837 19091\n38750 39761\n35900 77809\n19409 51649\n1123 21322\n5743 76721\n54123 75440\n13754 22742\n6262 22149\n59766 64419\n64446 84569\n29839 90827\n12442 71564\n41286 87783\n17947 50986\n39105 88811\n76991 91773\n33288 40654\n10853 71421\n53975 78019\n21058 43841\n41073 50499\n4027 77716\n17489 75672\n1432 55497\n31765 83013\n9796 83326\n24706 62571\n20195 46551\n65398 90054\n37980 72751\n7710 22608\n13142 73650\n61424 91174\n16237 23720\n4979 89021\n4779 42425\n29571 82112\n17665 73206\n31539 63398\n143 7032\n19829 43761\n30173 76233\n6823 38495\n20077 50579\n30359 79741\n15773 83677\n786 75150\n31125 71489\n4180 29161\n418 64380\n57122 87007\n37414 64096\n36689 71953\n56716 86321\n26470 86646\n4806 46951\n11672 37901\n65220 66507\n63426 88169\n5512 10316\n69124 77329\n47766 55456\n6123 41184\n31829 86294\n47206 78755\n35148 70605\n44405 77277\n2796 41220\n15165 83907\n10109 86122\n589 41456\n39427 56224\n2492 92579\n39667 48207\n45101 71370\n34966 50277\n58223 75950\n32787 59179\n78119 81344\n44480 80554\n50326 59007\n1466 47638\n5350 84189\n15344 36539\n55420 67548\n8864 48178\n64598 72036\n40865 77042\n61819 89505\n1267 50360\n16514 73875\n50143 91157\n38015 57504\n9887 21191\n13974 23641\n71267 78323\n1129 49986\n34131 88973\n67929 83275\n56724 80373\n2862 17341\n21317 63142\n14282 36502\n3371 13979\n7096 29846\n11249 39348\n20 34573\n4521 87484\n39546 43087\n29853 68502\n10243 49041\n27052 31032\n6250 58573\n47102 54380\n56528 78645\n12160 60375\n7240 25109\n32116 77259\n11245 47501\n10848 29208\n24769 51103\n4465 38811\n71898 72271\n54453 65888\n25984 62301\n22510 27121\n19158 29045\n55068 71705\n19856 73228\n18689 28255\n8639 64508\n43090 83070\n57404 90702\n47933 91963\n2967 78667\n27134 51378\n45152 71200\n56055 79031\n77103 84168\n15779 56063\n20991 70275\n5442 20593\n8948 16895\n1607 64037\n26812 79469\n11300 37455\n40616 61080\n34379 35146\n5836 12681\n1938 43784\n75767 87545\n13748 89079\n9621 24942\n29366 74356\n23325 50748\n7923 23880\n2411 84592\n18958 26818\n44289 65703\n21863 65979\n9005 78335\n68783 87714\n20166 58600\n34627 40502\n1702 91784\n59823 60443\n29895 40957\n3216 57099\n20634 36505\n51448 57948\n63177 79835\n29596 30830\n12154 58421\n23784 85165\n14404 70144\n44849 87638\n58556 90868\n9109 34413\n29575 30129\n68830 85659\n12211 12402\n9111 70578\n28247 49374\n54254 87698\n34043 88473\n5757 87304\n64281 86198\n25061 92712\n19527 44918\n11157 43586\n22618 69956\n50272 60949\n36935 54421\n52965 54029\n11626 72539\n75700 90517\n3610 66437\n17297 82156\n1990 32900\n46656 53307\n19245 65413\n25288 90746\n22320 68799\n32287 40564\n43609 76673\n57188 84527\n493 78670\n25316 76489\n20882 55173\n5222 25572\n37482 85638\n14972 15555\n40632 57266\n10400 91698\n8238 64175\n13645 37852\n14556 16928\n7159 20067\n44062 59691\n27928 58934\n8430 38639\n1052 46572\n2528 81770\n69497 76256\n34343 68296\n26844 44939\n58329 85026\n6444 46581\n5239 62074\n31233 73250\n52745 83749\n78942 88503\n16038 35830\n9889 42597\n68 90518\n8734 25285\n8383 36275\n70045 83783\n72192 92299\n29316 81902\n39082 88899\n20216 85368\n14309 71017\n26525 41740\n11436 20127\n61498 68097\n63607 93108\n11019 42497\n23842 38269\n62150 80431\n28829 92260\n13454 72007\n53400 89437\n46761 64926\n89199 89857\n3970 64651\n17085 85752\n49647 63145\n19083 63592\n2919 14047\n6937 28622\n33135 78630\n39170 91376\n48242 90446\n58371 70110\n7484 35819\n12252 62229\n2383 76870\n46038 55418\n59600 92491\n22662 47804\n62677 91503\n1609 35365\n21413 88577\n5133 45826\n1764 1853\n56368 70348\n14907 80253\n61280 83536\n22114 50339\n62952 86577\n12508 14655\n22900 82467\n55821 75483\n50685 90500\n693 77756\n65630 90512\n15381 58971\n46403 70635\n7608 79800\n27609 77861\n17054 82290\n23232 37359\n1408 83401\n18566 53777\n13013 40952\n83125 84820\n21568 26211\n25739 65284\n33525 81903\n26910 45802\n6456 8861\n28442 84000\n49872 78493\n22887 41668\n36716 59744\n37192 71239\n39117 89321\n18553 34051\n60560 64738\n41390 47545\n46334 79148\n45523 52816\n18827 76579\n23745 85262\n38937 58347\n11406 87991\n63501 64889\n28691 88146\n33296 78092\n503 25313\n14375 38250\n15625 76744\n33730 86913\n9017 47969\n16028 87954\n49765 68441\n3412 8832\n2979 78689\n24726 86864\n82289 83651\n30730 31909\n12778 62171\n66202 89727\n1734 54067\n26450 51985\n19741 58848\n43723 76263\n17376 88450\n49869 85293\n5615 59896\n12553 85925\n62249 65273\n9067 62958\n58494 66875\n76511 79350\n66237 80180\n15816 53568\n59972 62314\n3276 78094\n57357 80438\n2625 63610\n41729 79848\n12173 14309\n53999 61647\n68037 71493\n20976 74399\n36336 91988\n24174 47133\n47313 93007\n10973 77062\n4123 16034\n64527 77599\n20223 33304\n34204 66507\n3254 13265\n28384 65821\n9553 33421\n33167 45885\n23877 41284\n31769 34434\n2878 58051\n26877 40651\n23169 69247\n47631 62769\n54182 66915\n6401 86371\n61124 83949\n21677 38631\n33124 42934\n28712 58236\n9742 39537\n43296 46269\n54143 62650\n25143 52306\n44556 85636\n12281 40208\n22966 57102\n13381 15753\n48785 49715\n31042 70089\n2175 84291\n35111 56022\n25882 69159\n29273 81781\n26027 40012\n30648 32928\n23300 79103\n18558 23285\n5889 83204\n18157 61599\n53396 83546\n2701 85844\n62133 79876\n83760 85902\n55522 55821\n66195 78269\n23435 35514\n23751 59746\n15943 17192\n33602 78573\n42886 73706\n18003 19619\n15035 52902\n7333 82191\n25292 80841\n27955 86429\n44272 60431\n86613 93030\n56394 70321\n6879 78519\n81810 90741\n11520 34993\n10926 15646\n23009 60078\n12533 84922\n69184 69672\n49508 63475\n16620 71098\n8687 12391\n36379 56630\n16818 28436\n4501 66885\n53076 65356\n38940 61526\n4951 62613\n54752 55868\n26269 58714\n58336 89293\n1305 76256\n21082 44823\n62765 84381\n29082 79360\n8925 67449\n40144 84139\n4466 35255\n16375 49474\n71674 81058\n40819 60016\n10771 44874\n9581 25327\n39205 75042\n27940 50920\n67 69666\n36098 83295\n35495 84916\n47131 66518\n13496 50768\n27192 41632\n39206 55825\n23908 28327\n28562 77601\n12082 53710\n4575 44261\n42310 69692\n11280 61646\n4567 53871\n56846 91830\n54135 87213\n80278 82433\n47642 91577\n46321 89360\n4319 86508\n77083 80243\n29141 75171\n49168 77082\n2674 39241\n64064 88801\n67223 70536\n47725 72463\n34052 89421\n35321 91154\n22399 86519\n27535 60248\n15848 57583\n7831 20160\n25655 45034\n4829 19111\n7640 43138\n44846 49015\n20191 77528\n37431 64351\n81068 83588\n73993 88044\n2999 72442\n18771 23553\n33837 50674\n56700 80721\n9446 86920\n30450 50235\n7210 35769\n2027 3053\n33866 87920\n5651 19225\n36361 77845\n28934 41776\n20014 90588\n8917 9816\n11193 43283\n53092 66387\n30004 31705\n3745 62791\n42748 71434\n56076 88207\n4144 21784\n55130 68319\n30068 48389\n76747 84084\n5401 65358\n53306 84410\n78557 87113\n7016 89510\n46954 72313\n9548 41432\n39917 83835\n13633 14892\n20775 61082\n9820 76346\n73981 86589\n16791 83154\n32917 70348\n11523 77448\n47274 48308\n31351 55300\n27426 88629\n5357 19588\n9562 75614\n34142 67509\n63308 74966\n7622 61171\n69676 71727\n58460 80422\n21945 47727\n23126 26756\n3493 16016\n22259 25442\n12377 47485\n26479 46895\n37007 54121\n19516 88831\n18325 91551\n10405 46419\n67807 71446\n60390 87576\n31799 88763\n30005 88407\n3686 4055\n52307 64476\n12819 44792\n32214 33843\n40551 83480\n2067 37226\n5820 58942\n36220 86871\n24422 37454\n32185 51950\n11465 56060\n26520 75254\n39574 91594\n33472 87382\n64738 81712\n17055 47827\n36998 48311\n32386 50534\n9259 16822\n33624 69424\n9036 13562\n31544 54385\n63033 66456\n41298 57437\n12031 81387\n9961 21405\n18446 22802\n31415 75104\n29374 59103\n8027 21700\n42531 63019\n31560 41083\n25404 59215\n16525 53597\n9261 61042\n37507 45386\n6408 64252\n49992 50187\n59636 69395\n72743 85066\n66140 67922\n15609 21825\n53366 81747\n9768 47020\n44587 68322\n22665 54625\n12617 13742\n52456 80086\n10061 86899\n2943 52697\n52646 84119\n21762 41962\n36460 38133\n35007 79220\n8118 67001\n10289 20220\n28666 44365\n6054 43020\n1336 54973\n52168 59033\n27137 48808\n21164 75779\n24453 59571\n32237 37421\n55175 93160\n4595 80366\n6766 62106\n13858 56015\n45 68525\n40513 69895\n19946 87057\n23277 48300\n63808 65144\n27972 89673\n22328 36422\n393 47291\n31168 77427\n5737 12660\n26214 60410\n32479 64840\n27842 44842\n11380 79486\n32249 36796\n13488 25950\n51565 51740\n11632 68370\n62685 90070\n12541 47836\n16985 89678\n11929 24179\n71314 73035\n644 28965\n53971 91497\n42131 91043\n10418 64758\n25918 41934\n6710 39993\n15820 29888\n28936 32705\n54928 86962\n31381 73911\n27776 76391\n61103 82580\n26855 73848\n29126 48997\n2702 89885\n69723 73090\n15140 26028\n25868 64015\n32977 44430\n32638 70429\n32667 55500\n59867 77402\n48353 60497\n79364 86767\n47660 72385\n50568 92024\n12912 77621\n44280 85993\n19125 31989\n22740 69773\n37816 61722\n74314 84338\n21996 51717\n47154 52208\n44 55635\n1791 30358\n26367 69898\n58006 68845\n18695 86797\n12002 76018\n6277 88293\n12078 17826\n25831 91922\n21265 89282\n40112 82821\n18675 24210\n12305 66591\n9599 27493\n37865 41602\n12913 47623\n2365 29135\n41647 42662\n35363 54645\n4547 7969\n56244 64846\n21243 66921\n8621 36963\n6110 50692\n65793 85837\n12473 70536\n79113 81934\n25053 34198\n17300 23768\n54073 85250\n18936 90341\n10528 37323\n2070 15897\n57382 85318\n52127 74125\n24531 31492\n59062 79674\n8070 67787\n38884 57876\n56071 90542\n55193 57696\n19030 58777\n74478 91966\n55809 93102\n4481 89583\n17469 83484\n19259 38419\n17687 75134\n6801 93126\n21666 50156\n20205 52843\n11073 12609\n47138 88389\n33573 45556\n28096 85583\n47371 87769\n7598 60171\n33771 44613\n86084 91112\n34569 75726\n17235 55006\n6841 89157\n80034 80390\n16499 20139\n39415 65438\n1872 51299\n31360 51767\n65978 75539\n13588 16127\n25650 60514\n57470 82660\n6179 50360\n3473 26435\n33807 64648\n35798 85857\n3827 67730\n21428 55803\n70291 82623\n12935 25995\n16389 71224\n11617 61196\n28853 38349\n22392 83845\n55567 64688\n44821 74900\n60077 87671\n6089 72223\n80387 82262\n39256 53934\n8873 50674\n53075 84559\n1989 37082\n32430 92587\n18302 39439\n57216 83170\n37903 38253\n25512 32686\n54605 91513\n61016 75897\n87360 87918\n63093 72147\n62499 70034\n43391 66683\n388 32985\n24147 85970\n50443 69122\n12164 22480\n22781 23539\n24422 89907\n14845 84469\n11257 56211\n14018 39854\n63782 79330\n23158 40582\n25075 56187\n51713 55760\n4931 80556\n22474 71773\n50622 71132\n53953 70914\n28098 39883\n9123 69619\n155 19880\n47269 74282\n17731 40065\n803 57274\n33336 37790\n22686 24108\n27972 56895\n14181 61003\n29257 53648\n20550 81025\n21395 66402\n32875 41007\n20621 49970\n39612 89275\n720 39973\n45195 91106\n47260 79187\n23710 54225\n16292 30646\n1321 75529\n33452 61591\n37358 38982\n7492 42441\n45170 67912\n19283 52247\n17193 21905\n30740 69149\n2146 77644\n21296 44224\n61941 80573\n66714 76855\n7494 13880\n40260 55034\n12458 32880\n26481 35279\n47538 67729\n11560 34771\n49937 58692\n27189 50369\n54785 68941\n65711 85918\n5107 36798\n9290 91748\n46092 57757\n35219 80295\n67152 70157\n11282 40866\n6308 75768\n17133 88808\n11139 76557\n76930 80808\n77578 88551\n33199 63872\n62685 78277\n35086 50145\n30434 40526\n55329 77630\n56389 65832\n74104 87510\n1779 17297\n17737 45970\n10774 42892\n14327 26684\n56426 79804\n2279 23501\n13422 52975\n65091 93033\n47918 61671\n58656 70845\n44959 69632\n13478 45996\n20629 38405\n14072 43142\n50830 90463\n6646 86067\n1069 21342\n21533 42878\n7924 38070\n3003 39769\n40400 56489\n5447 12053\n606 40391\n32158 54762\n37111 92162\n28945 54004\n6684 55443\n30352 49456\n53651 66148\n13758 45110\n16285 79527\n18153 67304\n59408 91320\n52358 81134\n20468 82651\n15610 46235\n41775 63774\n69342 85442\n44183 69325\n3264 55400\n22758 93001\n26599 30086\n57577 89055\n43315 57373\n38246 83083\n52981 80387\n43790 63951\n720 75052\n62765 65766\n62172 78214\n8896 42712\n71671 86938\n39860 46628\n25673 64836\n58880 72421\n7907 45858\n59006 90111\n11249 29360\n2629 74410\n4287 36214\n309 6353\n51623 91763\n30171 30611\n41458 78728\n58515 81714\n26107 41393\n54719 74646\n1854 89360\n14975 67416\n62742 73187\n19987 39070\n10291 66505\n7153 20391\n6080 13781\n25150 90164\n19383 58190\n21670 81064\n13119 21482\n10514 92255\n62126 88720\n250 10782\n64897 86878\n46087 87957\n39459 81582\n39877 82126\n71132 79159\n12280 48992\n47688 85602\n43244 73153\n73707 84415\n22677 62115\n17008 73466\n39337 83901\n66215 91463\n6929 64596\n19079 86062\n3956 64141\n66759 92642\n16145 55279\n16760 33669\n71296 90055\n9070 77700\n69319 86450\n14883 58030\n32070 67994\n41730 64475\n58785 86828\n14983 37502\n47217 83306\n65662 88373\n41217 43252\n61712 71062\n530 50157\n20462 84512\n76602 89628\n62918 91849\n21012 45846\n30580 90226\n3620 5573\n51368 89839\n13104 89828\n85542 89811\n23511 26424\n8481 49552\n26416 27528\n26369 37397\n17841 85469\n21847 37464\n13169 52551\n41284 62842\n1340 74155\n28131 74465\n71571 88621\n12701 16451\n464 14264\n25322 29146\n38465 92982\n72507 92931\n9873 65892\n17540 19879\n11092 32471\n62112 63637\n32705 65657\n9794 14327\n13227 72488\n14394 86032\n12114 60057\n16771 53236\n757 25123\n83359 87036\n46788 80737\n27650 71048\n30314 40538\n6991 83373\n19131 48662\n20012 65161\n58967 70344\n11116 40316\n10969 71423\n53864 54168\n10495 73538\n41110 51525\n23887 55835\n48842 52840\n20080 47707\n65405 68774\n65644 83262\n6930 61030\n7454 75630\n23086 70325\n15312 37412\n2124 30780\n32242 79112\n8994 9464\n14545 24640\n63155 72021\n29205 51337\n9053 75920\n26055 50138\n22360 79140\n7230 17415\n11477 86752\n25120 80991\n31219 40881\n45524 51677\n14016 46890\n1208 17033\n10217 86469\n45099 50847\n70106 85603\n12975 41067\n11175 14171\n1033 21899\n10993 13877\n30537 77852\n8834 81742\n33984 60336\n68073 89702\n36131 84319\n39071 89343\n53263 72032\n42832 86278\n25454 65785\n39062 68623\n40385 45261\n6924 63345\n5333 66785\n9627 74364\n62949 68528\n23361 30763\n36162 91189\n45582 71516\n38516 45672\n20442 61896\n59097 74624\n28335 32999\n26973 68068\n71991 74628\n29969 44896\n59264 64270\n38175 38613\n10788 17384\n9459 33173\n11473 45091\n51168 89813\n25606 32211\n30549 40534\n27618 66236\n8343 86089\n37372 60762\n7026 41440\n15859 40219\n26372 81451\n5723 14601\n1051 26940\n7746 87038\n66092 89493\n66376 70160\n370 57895\n45817 86489\n79819 82147\n12482 49975\n20237 46478\n1756 86943\n11341 38542\n43678 60518\n58560 89761\n66172 83085\n1742 12196\n9074 10155\n44864 61390\n5622 86746\n28398 75716\n20599 86518\n76209 90849\n2931 74003\n11608 74235\n22335 87794\n28760 35408\n13134 85103\n6991 70141\n15260 35249\n36432 54772\n64353 85658\n15729 71598\n30627 44202\n19945 84417\n6159 51776\n18068 48742\n34302 55927\n9698 79116\n7017 27951\n66820 83253\n4777 86440\n43070 58014\n19490 52239\n32572 87199\n5953 33846\n9848 84801\n45797 51581\n40416 43007\n82176 87131\n35376 84769\n15406 30773\n6109 50719\n29459 79435\n39116 63271\n54294 68339\n15014 74148\n36078 67142\n9201 17913\n58854 61289\n66482 69086\n3255 7130\n74028 85691\n14546 20168\n30097 34224\n1831 28945\n54308 77724\n35891 87143\n20982 24275\n36892 76332\n248 8683\n9192 92667\n17278 78009\n19311 71034\n23167 54190\n3824 78385\n73053 92022\n36218 68413\n32708 71460\n68193 70028\n33368 58500\n76853 93065\n70799 75477\n3433 75667\n56938 71264\n25934 50983\n44253 44771\n48730 55005\n83268 83637\n13898 65326\n3068 65293\n3840 29982\n5861 15243\n84232 93081\n42525 54437\n41900 60191\n25536 44030\n30416 68891\n20479 76296\n56109 81632\n19198 19485\n68874 87466\n15185 74526\n7395 64210\n60118 92359\n9739 69164\n16796 78950\n76224 83146\n8396 30064\n1558 22492\n72898 76234\n11428 86626\n4714 86350\n2214 49108\n47801 81911\n25031 76588\n39280 80164\n18624 52612\n47440 70888\n18547 64527\n26712 69118\n35007 84411\n13363 54435\n59009 66667\n1120 84849\n44291 70097\n28419 29070\n2907 5308\n42435 80389\n12334 80945\n69249 93095\n44173 89148\n64456 74809\n13371 73661\n14521 71035\n1565 89067\n42178 78785\n28857 63884\n4208 34301\n57491 61351\n20619 78756\n3764 21331\n62365 66682\n6789 59231\n50985 75548\n44686 49658\n50888 89514\n12759 30476\n27025 68909\n60237 86143\n38179 44649\n24182 71603\n5095 19330\n3452 47285\n3026 59340\n59899 90574\n266 23724\n19089 75157\n37895 54553\n2115 39967\n2010 54248\n5887 75237\n8472 66852\n44042 58588\n29364 91842\n51621 89266\n21108 44462\n11514 69486\n46600 71266\n24749 79169\n81397 91844\n4084 40169\n2762 76100\n38199 81052\n11097 22920\n34329 51055\n46214 54868\n53582 78522\n22620 58477\n14208 36507\n24473 45989\n22848 88088\n13645 17039\n27427 29983\n18176 21695\n65049 65427\n6737 40737\n56620 70630\n80713 88020\n56122 77606\n9625 23077\n58291 68969\n71620 92779\n22192 84561\n60596 65310\n11546 69801\n47904 82195\n38915 68619\n71416 81306\n34516 58397\n16865 20172\n23456 92740\n22482 50035\n10232 86758\n8597 82640\n55350 92174\n72514 80622\n38275 50278\n24685 34001\n36295 42898\n71906 84101\n3271 85002\n70069 84974\n5635 27739\n5257 16511\n10808 47471\n5196 67919\n64260 82414\n44816 51773\n738 25958\n921 9180\n30453 50891\n52527 62748\n16659 52884\n36572 64212\n39768 78928\n63813 67088\n2166 44695\n27816 53534\n82371 90016\n4418 82987\n3934 52316\n31732 44842\n19642 86961\n4185 15126\n36452 92261\n4745 23184\n18573 31623\n43567 47130\n26106 54732\n47239 85357\n18619 41006\n81451 92582\n62485 84104\n8030 62565\n41389 51363\n40303 71611\n4279 18534\n22700 46513\n446 12810\n8830 34979\n80981 89062\n5200 14839\n54828 93176\n61456 87068\n1351 23585\n40595 58686\n16630 51044\n3776 29122\n12506 33307\n1272 52407\n24716 73362\n85198 89726\n37103 60093\n58180 91391\n23915 93074\n15321 46682\n78113 81637\n11325 66369\n22478 57951\n7217 76892\n33456 46257\n32350 63189\n9756 90414\n31277 86668\n30222 77712\n2150 47835\n77483 90333\n10486 51832\n16144 73735\n52149 56043\n32342 40730\n68945 75146\n6936 87375\n11768 32525\n20724 44089\n2644 75809\n19626 39684\n245 26009\n2820 76662\n49165 58604\n57909 86536\n26821 65360\n38105 46910\n12158 90243\n92 1637\n13010 44124\n47637 49063\n32680 35744\n21224 26770\n16171 72277\n2924 73838\n29321 29758\n70187 89947\n29995 68292\n41318 77142\n3461 27078\n6758 40524\n29592 76954\n2368 19951\n43908 64633\n14096 89293\n17605 27156\n35406 57074\n77401 88988\n56129 78133\n16506 18449\n81099 81831\n14553 92447\n3203 4745\n40209 84287\n32642 91654\n33018 49186\n61629 66131\n21028 60077\n36908 40614\n37210 82058\n29429 42636\n1493 24358\n37619 82329\n76611 85698\n68958 86434\n49744 71851\n48963 74328\n13978 17707\n42111 43921\n16227 92346\n8314 56065\n49931 82699\n12756 41885\n81855 91614\n8673 87411\n12218 14184\n7436 67810\n38218 44308\n43432 88859\n7432 30349\n1966 68408\n71351 72759\n42737 63541\n54824 56183\n35436 74003\n4810 49479\n75749 86278\n48936 70854\n50004 72427\n8989 62700\n37013 59586\n6819 35598\n47017 59068\n40285 44819\n31490 45290\n9778 68610\n43339 92243\n25150 64426\n81841 85972\n17831 33194\n8661 51193\n76503 81539\n41994 49748\n67422 73018\n13766 75643\n17508 58545\n47532 93056\n45851 58808\n9419 11679\n17155 67631\n12839 35413\n24531 48745\n9004 45476\n9987 33538\n15452 90496\n40285 55576\n13137 30504\n650 71239\n5005 43498\n4113 76727\n44375 91633\n2591 25902\n62408 82490\n31753 88751\n25364 45606\n19925 23569\n30777 83220\n8635 15560\n79702 92258\n12477 56006\n31416 46944\n61688 81511\n26034 73366\n7140 84673\n38478 41585\n79669 79914\n83126 87636\n59595 59811\n292 17874\n11962 61353\n4807 55420\n32761 76138\n64319 88050\n18459 79162\n4905 15762\n4355 72826\n753 69381\n32285 40515\n28300 40545\n38068 50719\n5651 51686\n31383 92884\n24131 31457\n76927 92461\n5138 45191\n10956 45705\n34648 49069\n44838 80656\n76570 78451\n71279 81104\n14335 48423\n3998 90499\n8144 54282\n20687 48078\n51042 88674\n70630 87514\n1657 3260\n63812 87177\n16060 71652\n5282 54884\n26349 39935\n38118 91832\n36404 41271\n47444 88604\n38821 75014\n29203 47084\n55259 74468\n34827 89353\n30653 84846\n7572 70811\n37029 86112\n8404 89345\n20270 84730\n6618 14850\n74501 92387\n62188 90534\n35917 64320\n47283 69095\n37237 49191\n24344 34458\n25978 36649\n16728 40395\n4189 91106\n13695 17880\n78164 90889\n71842 91271\n31628 32780\n4274 82711\n14491 83924\n47059 76317\n10120 30635\n34508 77452\n73814 83198\n25093 88077\n13685 42175\n6476 59414\n8669 89150\n1581 75416\n3465 19044\n26134 92982\n45990 52641\n5964 7629\n40691 55362\n7784 12200\n2548 71828\n12627 65274\n61594 62064\n23801 77903\n12335 85850\n29750 71267\n34012 50282\n5320 49324\n19148 31438\n12299 86631\n62136 90338\n37019 43556\n9120 55044\n71100 81137\n5028 73468\n12806 33010\n80640 87879\n31154 68980\n37901 76815\n37914 75789\n47049 92468\n31394 72718\n7186 25016\n6900 20589\n37055 46147\n21364 23793\n50400 51726\n29411 35675\n41961 72328\n27512 50012\n28224 91236\n6294 11200\n24230 69380\n3829 40049\n12237 81201\n62774 83264\n58431 64835\n37505 83050\n2128 25944\n38456 58923\n43864 62296\n39343 56699\n29398 37938\n29636 92621\n3131 4829\n49342 88315\n37212 88962\n7824 33504\n5524 62046\n56031 90250\n51801 84374\n24677 32391\n63180 85293\n17431 58981\n62238 80050\n13297 30658\n46668 68471\n25619 79160\n80207 93062\n44490 71936\n30770 46185\n62405 78772\n17400 18022\n6088 31358\n60534 68751\n50498 70772\n22456 67498\n15948 61121\n9098 11026\n53746 78280\n21108 44125\n39513 44190\n33433 50707\n45301 90931\n79437 86086\n17781 66676\n37372 85073\n23819 86415\n2521 89232\n41834 71199\n5460 50265\n8701 55191\n71223 91669\n12643 41971\n13491 55038\n34235 69165\n33421 33440\n55365 89691\n20425 65547\n28003 45681\n7617 92289\n32375 52386\n51669 77192\n18387 74048\n60161 74576\n36312 54420\n9583 48099\n75810 89024\n68818 71852\n49186 71675\n62283 77555\n46906 64909\n786 31638\n27175 59632\n57897 61328\n34035 53170\n61329 79066\n26510 29442\n14994 25168\n21953 75772\n24946 40301\n29694 89605\n21159 83582\n50159 57871\n40775 45747\n10274 58736\n31219 42558\n24442 72458\n60424 87338\n28341 52817\n22179 34829\n12326 34764\n19150 58189\n9385 83646\n24664 40598\n59692 89381\n1136 55647\n3316 55300\n67340 78064\n26088 55400\n8303 11647\n15536 55392\n19307 57830\n24075 72631\n75967 83220\n81181 84918\n20557 54513\n50457 65387\n13715 31975\n13361 54321\n5429 87460\n16672 29043\n49758 55837\n23260 23712\n30997 87761\n113 50036\n9104 70171\n33525 81221\n1264 24204\n35704 66838\n5143 16174\n3474 18931\n36797 38831\n70433 88880\n47891 87851\n27492 67629\n31910 81743\n45073 62979\n22339 88576\n23617 37159\n78846 90141\n20667 21233\n32844 39642\n2367 57386\n10693 25352\n4109 44773\n56100 76446\n20517 48747\n42200 46489\n33557 60825\n63974 74911\n52948 81590\n13381 21637\n50088 60346\n13659 18284\n11523 13304\n34989 52842\n25681 44709\n13536 84548\n28573 30855\n4235 84906\n21554 64020\n20075 76691\n51988 67446\n3565 75492\n42170 77322\n9277 25801\n16506 32421\n52719 63572\n45738 54406\n56727 82877\n62690 91488\n46411 87489\n41669 62858\n19913 71518\n7902 79179\n49390 91917\n186 19307\n55367 81049\n4378 29560\n41376 87968\n7918 62285\n61535 72120\n54748 77892\n13569 57096\n21096 75918\n7100 52598\n41262 70151\n4283 21427\n83056 91022\n14304 50870\n25105 30100\n23 91797\n20126 63760\n82129 84749\n65555 86266\n36829 43272\n3139 84831\n4818 23925\n5132 65293\n44273 66263\n76515 89323\n2278 68464\n25818 40815\n18507 44827\n53922 63333\n77642 88461\n44607 50592\n53454 84780\n27052 57851\n37301 43707\n23087 79620\n31703 49427\n48032 66164\n7789 24351\n8564 81432\n14281 19710\n54828 66493\n83872 89708\n46200 52471\n5591 46518\n76555 77830\n31832 42193\n39549 81682\n3832 4270\n18033 92726\n50468 63273\n25803 26505\n15712 50902\n77625 84059\n40037 76072\n2106 66693\n32738 48056\n23739 66448\n34258 47780\n25011 54796\n34149 38921\n32022 56709\n25831 83512\n18762 76427\n85104 90126\n5800 7488\n21938 40080\n79231 87734\n16955 26387\n14025 88221\n43677 90750\n3003 73193\n88233 92338\n23971 61071\n65090 85064\n45693 70630\n37025 39942\n19710 23730\n2629 73427\n72577 73707\n10218 14304\n57320 61730\n52673 88033\n15017 53874\n14456 66887\n44970 66776\n39488 54209\n40668 93094\n45426 89067\n10238 55971\n66861 84128\n41408 60603\n2505 22660\n38222 53576\n2947 82458\n18511 55226\n67644 76430\n18258 92567\n67467 73986\n8511 67530\n36247 52073\n66079 88833\n79402 92165\n67058 69679\n59876 75176\n30877 89368\n10151 69520\n31840 79083\n34264 73068\n74378 74415\n11879 46322\n14740 82614\n72856 86607\n32059 45638\n18229 81377\n18402 22571\n9334 85007\n54092 71943\n38635 52008\n20411 56159\n44004 79497\n11207 18240\n19602 87741\n47400 71747\n13961 32347\n32786 56236\n69060 89942\n5841 57504\n60975 82999\n13217 15846\n26821 81159\n31532 67463\n41551 89250\n6491 17138\n41265 50397\n56135 75553\n13960 85001\n4912 52577\n10928 14186\n31107 45718\n9959 54883\n58296 81319\n42419 82351\n16017 68590\n25889 50752\n11935 77730\n6460 52465\n34507 53686\n16652 71864\n16441 85628\n54343 88996\n21714 80019\n44373 71197\n64524 66189\n8004 82555\n74356 77241\n24487 68900\n44284 55096\n62783 69291\n45598 84096\n2842 60652\n628 30172\n12226 86534\n14144 47235\n47018 76378\n30058 49348\n8404 39814\n3893 75091\n48729 81305\n9278 84932\n5904 32596\n37228 41560\n42679 57953\n36993 42421\n32390 48513\n1641 48607\n65175 82786\n14370 50202\n12116 91428\n31071 42359\n35786 70174\n53600 88430\n10696 37615\n23624 31070\n34693 73455\n56186 77821\n16502 84375\n72785 77281\n12420 50488\n32500 39529\n16125 38949\n41156 41318\n18194 71248\n25869 26658\n47493 48356\n41243 73703\n25526 63603\n40809 75597\n39967 89926\n44766 54122\n3319 25237\n50393 56901\n23944 55012\n8399 54686\n34780 70210\n7771 71739\n10287 16814\n16724 81390\n17516 79741\n52896 66570\n67855 69163\n52680 83679\n29993 83970\n8511 34327\n40693 67471\n24781 24940\n40020 89704\n70789 92703\n37316 65912\n35715 48546\n6876 72757\n57540 69274\n14655 91634\n19337 57422\n5048 59286\n56549 92789\n10925 65403\n4648 18984\n24274 73507\n16499 66775\n51656 54578\n60128 69650\n3458 39709\n2064 30050\n38847 47542\n7314 66927\n65565 79826\n18492 88315\n40592 43224\n8340 20769\n66213 72397\n21513 83903\n8374 85844\n40998 68739\n23894 80927\n65496 69508\n381 57882\n1824 66282\n22507 73007\n73429 78052\n26245 89074\n70380 87770\n15018 81784\n22258 34708\n50348 50788\n1248 58901\n40104 85173\n53093 53637\n24085 86291\n45245 47859\n4927 55716\n58636 71086\n58791 67588\n35615 35902\n57279 84560\n24272 50490\n27526 83927\n47332 76712\n18187 56726\n3144 26979\n20549 72984\n55369 61744\n2641 92560\n11729 69395\n16464 47186\n20223 66156\n35125 60521\n59762 59767\n3401 59522\n6745 78556\n78863 87631\n10965 84386\n64309 79424\n39840 72054\n68788 69599\n14701 92321\n54579 79607\n5935 92591\n10606 32636\n11314 58071\n4622 22801\n47713 86386\n65159 74737\n59371 68578\n5904 22767\n16943 91019\n36943 44896\n12497 20778\n20133 43170\n17656 28632\n59718 81103\n1878 30757\n22408 27935\n29699 58290\n16984 38625\n12052 77519\n24086 27078\n8983 26776\n30627 71675\n30448 43264\n21214 70725\n34778 81157\n15579 59414\n21012 83426\n15684 69718\n53841 79110\n35591 84702\n31740 90101\n5159 10654\n35619 88745\n5137 64417\n39695 82704\n26367 42338\n2779 20197\n1521 64767\n46553 61607\n890 24211\n38947 90101\n69760 70614\n46344 54949\n47064 81926\n43955 47829\n23285 49406\n21685 31004\n5615 53320\n3751 4344\n10516 37100\n4944 88850\n31919 76744\n9010 62083\n3301 34730\n83065 91406\n34969 57961\n19175 29062\n36195 54587\n21235 33438\n6564 63294\n25099 25861\n56106 86476\n55916 57831\n17893 55522\n61509 81838\n830 5802\n69337 87390\n19058 91324\n13445 15307\n27655 60805\n45281 91357\n25511 92946\n17787 32756\n12873 50410\n57352 74141\n42347 75905\n271 20889\n29694 46293\n16648 82232\n42987 54849\n7921 75685\n53459 74263\n35458 80466\n39873 66688\n72597 77099\n61083 65980\n36880 65640\n38239 79137\n37430 41627\n43179 55876\n85276 85833\n30176 69477\n19329 75342\n75510 78778\n26824 50495\n1201 25701\n29355 67483\n34462 85778\n3638 39156\n8239 48418\n27558 36517\n1577 71993\n30467 91128\n45587 64407\n14786 39265\n22173 36804\n53769 59977\n30718 33098\n52676 68554\n36193 40654\n28620 86783\n2394 73071\n5606 22015\n48977 60137\n31074 92110\n57862 88381\n47545 51106\n26770 70357\n26538 82511\n6148 91838\n14638 48391\n30168 82585\n52023 68976\n42452 85225\n18184 36450\n74406 78674\n51198 85004\n24234 26298\n28250 89939\n37984 48920\n79191 87249\n36844 61943\n26348 54855\n6116 46065\n54658 60442\n389 71993\n9136 70092\n29189 65154\n9810 48673\n22326 90611\n81015 88734\n12517 32952\n43975 69183\n13273 22964\n41779 90229\n40065 55080\n12034 12940\n20450 73260\n10823 45328\n18246 44755\n26669 37676\n2582 28671\n52878 57077\n49059 76054\n20008 81581\n5417 85027\n6556 12375\n29176 58695\n47591 85662\n12061 29791\n47584 61166\n1354 12474\n57452 66000\n16186 59133\n9086 52241\n5410 31642\n28423 35754\n25969 38002\n15972 78527\n36030 53253\n2707 42715\n49522 56250\n50820 84769\n12852 90039\n34644 78089\n47066 75335\n37972 72872\n5963 44156\n41414 82310\n14157 68356\n11352 42653\n3001 91237\n20365 63331\n76257 84045\n8975 59766\n46580 52818\n14456 57347\n8406 47940\n44296 58577\n42068 51170\n42411 89310\n25857 68178\n4811 23063\n3526 87006\n4837 92475\n7259 12562\n5848 12662\n26688 44993\n36536 43960\n22091 23834\n62598 66591\n32703 61949\n40301 77792\n6678 60361\n15502 39557\n485 38920\n28242 55029\n55818 92993\n50578 58224\n1820 79145\n33063 43931\n22100 30816\n87133 89267\n16018 56246\n56593 69585\n31599 88067\n77432 80818\n28405 49368\n6551 40869\n2026 62679\n45145 76980\n37192 55130\n43583 89727\n32774 37962\n55426 60150\n142 15786\n7993 89595\n24115 91074\n2168 36404\n17613 68209\n6523 41804\n4087 35356\n48801 75758\n54431 66100\n23543 44458\n46757 52381\n15156 50577\n4997 30972\n30293 79343\n12570 76053\n10107 88261\n39518 48298\n48463 56657\n32420 54452\n43360 46637\n19172 44590\n74833 82921\n31890 60300\n10808 62586\n54355 65290\n45036 87549\n27650 85265\n45062 59913\n13504 43215\n14194 56437\n62739 70550\n66375 67702\n61871 61995\n70725 71769\n27709 49928\n40845 43760\n15485 73840\n40013 40265\n30806 37417\n52565 65884\n54510 85247\n11828 87586\n2800 61261\n46333 66565\n18687 81890\n8700 72116\n48013 74972\n46091 89448\n70170 80831\n5642 6225\n2630 91832\n58887 71977\n11231 52810\n77551 88286\n6166 53535\n65298 84923\n22182 70806\n38143 65984\n724 89636\n22372 92452\n23783 53181\n27571 39866\n15862 87222\n10502 87414\n1915 60079\n20512 69051\n45740 75904\n23127 93119\n20532 80993\n69769 71480\n34969 49074\n12903 31676\n23398 79575\n50023 61652\n51162 75845\n48716 61321\n19474 92576\n32557 38847\n80478 86626\n47323 68058\n15761 85377\n21269 29151\n35754 64646\n52114 79495\n4456 24144\n36695 37497\n3992 78564\n2765 89644\n62684 77175\n7651 82384\n46864 47419\n64098 88544\n4337 72003\n12757 77151\n29297 36943\n28951 61841\n3057 40346\n33001 40995\n23563 36913\n50103 65417\n15 46210\n29957 36679\n58269 78637\n56643 60376\n4625 68792\n48402 65358\n75297 80144\n1034 84409\n20738 70439\n6676 76434\n12567 74991\n30587 86677\n58171 88190\n61349 67598\n45169 85656\n19921 38286\n44931 78888\n19825 44000\n43552 48609\n14291 91578\n51267 61416\n32339 41920\n8449 71875\n48488 71531\n63679 68341\n10323 36769\n20472 74610\n29903 37867\n5766 14544\n11408 93154\n2492 31792\n43618 64778\n39200 80417\n12322 80256\n15818 36638\n25250 48795\n48480 80013\n11704 58420\n7171 56022\n13061 56474\n8047 34875\n10828 85036\n65525 91121\n39398 68937\n33468 36955\n5532 73159\n1317 60201\n6225 26706\n10651 92609\n10745 62784\n42740 88700\n12636 74755\n4229 90752\n7885 53096\n13430 81703\n46735 49268\n33900 43752\n20749 55028\n65131 89486\n35941 89710\n4629 64378\n12891 14206\n37608 79410\n16728 40947\n49218 82470\n16980 49275\n23767 29624\n23935 84310\n75962 92001\n4556 75156\n2724 5278\n16569 31197\n8131 86937\n32896 35951\n40926 40979\n67206 72598\n32372 88978\n81067 92437\n17329 79713\n11333 17680\n7097 9741\n26701 86768\n6544 61253\n29114 55398\n36956 47493\n12365 49894\n46853 74256\n21346 32845\n339 19063\n10541 65649\n9853 16801\n73025 79876\n6362 37499\n21263 76169\n1 4232\n46531 61193\n17253 31033\n11525 86076\n46088 81342\n38325 41474\n8804 64174\n50824 69071\n8939 88990\n41364 44778\n7460 31483\n63931 75224\n29769 89442\n30258 46063\n46100 62355\n22717 37674\n34074 60176\n19037 55199\n12332 56070\n49643 56817\n66003 90871\n18564 86606\n56610 83513\n17526 36411\n49348 87967\n83716 90010\n20035 64874\n28571 89749\n2642 68094\n27599 80606\n24877 53012\n7885 37207\n6730 85213\n38551 45017\n4979 9603\n28337 43188\n40432 66297\n1420 30766\n5701 48827\n31541 64510\n22158 32181\n8081 40938\n6646 11053\n20619 89504\n2027 51653\n29785 46179\n35963 49138\n41330 88577\n12524 46858\n78512 80628\n1933 35279\n44369 78143\n52036 77860\n44007 51526\n13394 28578\n54277 68677\n33905 74055\n23661 81771\n23836 30198\n58293 67602\n4921 52640\n5977 22647\n6869 63454\n26009 83951\n9535 80068\n4221 65594\n12359 48504\n19320 87891\n9932 20333\n65898 82056\n17789 19717\n75790 86614\n7364 42654\n10078 53414\n4937 86357\n10242 43622\n3426 82641\n453 58338\n10118 81715\n18333 43900\n12667 91716\n61035 66435\n10091 89253\n13253 64312\n20049 90804\n11172 51954\n4100 44466\n44217 78052\n7731 48029\n39625 70384\n6358 50997\n61410 65821\n4969 80385\n36284 46784\n74583 92911\n77232 81803\n7496 12981\n49993 86955\n23159 47035\n35541 48701\n70076 85929\n49410 91933\n42676 62263\n46514 91369\n55703 69347\n31938 54080\n85866 91741\n46461 75625\n15986 88781\n7169 82276\n20897 30033\n7745 59411\n68960 92855\n2242 39197\n17706 36329\n37009 47990\n23918 39662\n42403 58143\n23865 67782\n77538 89551\n54768 57311\n28061 35244\n36063 71033\n6609 19510\n66239 86418\n9100 55673\n50490 58858\n3801 59953\n19614 28408\n18511 31135\n49805 80819\n28450 62152\n49072 83106\n18199 91849\n12070 20109\n15177 30488\n5310 43939\n56939 91858\n52743 89616\n14812 83258\n3057 35272\n61384 71828\n46042 72662\n13140 49228\n47141 53123\n14485 55273\n54786 62214\n27584 46899\n15390 38373\n16537 17988\n22456 82916\n3491 89699\n3873 59890\n6060 56571\n10620 39323\n33742 67331\n40531 71013\n17878 39940\n12586 82915\n68036 79599\n36374 65363\n46606 84818\n37699 87618\n41371 64297\n49111 85090\n8701 45094\n9284 92384\n58613 73826\n11532 28993\n68509 76857\n15214 17008\n1169 65009\n6315 28817\n1805 52776\n25117 66320\n36719 82103\n281 41172\n1418 80498\n2963 68872\n36366 64677\n7623 25046\n9904 34527\n62930 68279\n20314 86671\n20194 28723\n31512 74374\n37914 48420\n24763 75921\n34567 74820\n32530 73377\n38597 41614\n64692 72224\n37824 78747\n33608 56214\n21849 81042\n29409 62728\n35507 54032\n20461 32164\n57463 78852\n51776 59727\n2849 46367\n39749 75349\n20660 31619\n52812 67727\n9735 55145\n26702 72156\n46876 73223\n35477 51339\n35721 91020\n48911 57803\n21406 42459\n45873 52623\n30490 81540\n24991 48244\n35205 37077\n504 45173\n24442 66954\n47896 82725\n41795 47026\n36723 81922\n17636 23560\n768 80699\n57921 85870\n27703 40100\n41322 70977\n74852 86969\n15906 28447\n1534 28992\n87712 88812\n50909 71937\n50830 57702\n45395 66854\n27712 73691\n27580 92944\n18111 67458\n35334 48128\n33362 75347\n5692 43528\n39514 87682\n39833 73034\n61660 92629\n56959 66645\n75129 77610\n56366 62565\n8203 38775\n17771 86318\n12853 88285\n9388 85149\n15673 35558\n15129 53156\n39307 40375\n40941 76130\n7233 31070\n50155 66971\n69481 74135\n63611 88802\n18725 70807\n10148 14099\n32815 76446\n11293 52014\n47385 49814\n15877 89239\n21303 88593\n5553 82955\n17607 63698\n1996 39440\n44872 56852\n21019 78005\n81117 84604\n4782 32415\n41371 82707\n6854 87014\n6051 75652\n32843 50364\n17286 70189\n22173 74881\n69782 70174\n14240 17672\n52898 79248\n14239 50910\n52124 53313\n42826 84912\n42788 74598\n24309 51038\n1815 25163\n19236 48432\n37072 46752\n18428 92354\n26461 87286\n64591 83861\n87923 90838\n21910 53827\n4866 83421\n55783 72308\n83864 84251\n29276 85707\n47925 48610\n26205 35665\n23530 72893\n6628 10170\n40210 41197\n2392 70479\n42265 61327\n9025 54764\n70556 83181\n7804 73424\n58506 72816\n74713 81440\n23303 49333\n15397 84781\n48689 85523\n19408 60237\n13844 23382\n14028 80203\n3775 36110\n4166 61043\n9781 20417\n43684 72670\n9715 24475\n56855 81191\n17422 85369\n74342 78005\n3812 30228\n13480 30711\n30953 42273\n15903 85006\n14940 83369\n4606 48313\n14307 20474\n32499 49583\n10695 12672\n33306 77075\n23644 24040\n62174 66632\n69782 73045\n22111 90252\n3385 60150\n49045 79932\n14086 21723\n4653 4956\n20037 53922\n43334 75900\n18264 66796\n31368 72437\n68776 81178\n22288 66952\n31268 88747\n38481 67203\n31096 91627\n26942 39039\n280 61135\n29322 38482\n15028 17546\n76640 91828\n25041 47220\n46468 71032\n9585 35578\n9660 54494\n36255 63253\n4527 11333\n66742 85366\n2398 65381\n70979 73349\n51932 79331\n42198 51846\n19364 66597\n1244 37918\n80708 89740\n5368 19919\n45908 83702\n40098 41394\n14786 63545\n49583 66369\n2414 65506\n9533 60502\n18593 34845\n21357 48978\n3898 23308\n62714 65433\n1561 53653\n80562 82462\n31693 92678\n25048 28703\n25013 31551\n50257 75748\n4992 73578\n13336 85534\n19019 60128\n41611 74153\n35127 43850\n50352 61375\n3472 67495\n9476 52005\n15208 83922\n17232 71951\n54666 64042\n35975 86960\n63947 75457\n710 4003\n50657 78586\n6777 55502\n27312 30453\n15768 27119\n22049 88939\n36401 81922\n7168 45408\n33239 46571\n45370 81905\n10611 88403\n57448 83048\n72903 72928\n46038 84388\n16135 20965\n17251 75574\n60731 76434\n10698 87938\n83400 89790\n868 19330\n62125 85720\n33806 91192\n14795 30410\n47298 54868\n11918 74804\n56914 82553\n19343 39084\n7814 13883\n61294 72065\n51010 58492\n12034 27292\n13343 83425\n898 27183\n1219 45347\n26210 40826\n49061 81298\n16441 86323\n41088 71210\n27085 63924\n70598 79033\n57252 80254\n57680 80634\n91841 92959\n9227 39548\n5255 53440\n14405 80103\n45591 90431\n87985 88800\n62695 65914\n21625 85061\n19634 74354\n51171 53114\n77692 87169\n54240 65899\n44586 67619\n39446 59309\n35075 81746\n42773 68145\n50 28795\n25632 56625\n38844 85868\n30313 81270\n20429 50241\n60365 91743\n15199 41281\n62589 89880\n79619 87678\n5077 74281\n14175 27661\n15192 65068\n39702 47196\n31873 87638\n28914 92922\n1246 77968\n67029 92920\n77351 90176\n26991 82727\n10106 85336\n13266 92268\n19601 21055\n713 64683\n18220 21903\n9411 84517\n48287 67117\n18946 22015\n21666 40900\n702 84678\n37472 54603\n43614 57961\n24462 92482\n8281 72359\n47657 74115\n27814 90960\n54523 60857\n54933 88253\n11010 18320\n38211 49328\n33731 78895\n47897 81025\n47320 90607\n8755 60296\n45971 77434\n49170 84296\n29920 30189\n23779 76638\n43807 46257\n44452 54770\n7086 90603\n63217 81226\n36315 49975\n37364 74218\n18886 22178\n37297 71091\n16342 17305\n3871 10169\n42245 47260\n12754 33840\n1770 57283\n19765 61148\n17050 55970\n81106 89598\n5702 77149\n30638 88974\n52404 62523\n28635 49728\n61273 86767\n28964 36786\n20821 84832\n11540 88736\n17088 73907\n34637 79192\n63085 64566\n21528 40894\n52242 63643\n45330 74212\n11888 31236\n46060 49605\n17570 18506\n73165 89068\n29259 91115\n67543 85689\n62850 87979\n58040 90646\n13273 69527\n17834 64280\n49107 50699\n4453 9820\n18220 49938\n4034 84045\n11282 91328\n2959 19779\n50625 90752\n23775 32748\n44954 58075\n22693 65025\n10246 40717\n10540 76795\n743 14534\n76194 76801\n39250 52590\n27556 59787\n77507 88338\n55490 69267\n7964 58176\n12638 51175\n13508 22180\n50801 74299\n53168 90935\n16357 18869\n48642 63433\n15012 84641\n20583 55583\n51721 87402\n45648 74991\n6782 53579\n60856 60965\n4930 52698\n27117 53869\n18517 41981\n71347 73840\n46452 80617\n13466 83560\n5733 12794\n79624 81524\n11768 38129\n55399 80865\n30707 41363\n6779 14429\n11631 54224\n64568 67171\n79358 83226\n40936 49707\n3330 26690\n26931 58116\n8343 28061\n11531 28773\n12969 20432\n63435 88413\n4470 40752\n29533 57959\n8004 14324\n33133 51768\n23551 83721\n31609 60202\n14585 72546\n8916 55945\n41214 80798\n18873 41358\n34180 86325\n11239 40975\n38351 64797\n42091 69631\n60792 82043\n6341 11844\n67108 76648\n76978 88980\n27575 29604\n31967 64045\n10287 44932\n79542 79923\n48705 56996\n13104 68685\n39828 52880\n10795 17128\n54439 65354\n49965 86370\n35796 61678\n57434 70835\n21352 76641\n72845 73330\n52576 69701\n13183 60500\n54957 89143\n50599 82642\n24513 65169\n3963 80250\n3271 64927\n1669 90292\n30549 75987\n29133 92881\n36226 65695\n6923 42061\n70791 86180\n12206 51419\n31004 78101\n29695 87553\n16545 34387\n45076 81067\n46840 78362\n35356 81508\n14285 20344\n2817 45657\n17673 63234\n3094 58478\n1726 15157\n31405 81933\n32243 71839\n9837 50638\n12130 23959\n6428 58776\n54538 75247\n31702 62237\n36251 56265\n7586 55536\n6830 26756\n50490 55978\n66058 86599\n62387 78010\n18490 42988\n21001 79221\n13428 72047\n60895 76134\n52481 65425\n16945 89037\n59528 76157\n22622 36370\n10350 58098\n66661 74334\n25012 43885\n5550 23466\n25112 31412\n2102 36113\n19487 56271\n37788 53214\n42937 87745\n68591 73213\n45285 74215\n7838 45397\n19251 75186\n48733 66690\n1575 73015\n7874 15864\n15809 67475\n52573 64454\n30061 50681\n5390 86442\n57187 61819\n41703 75740\n59903 60536\n21630 43279\n34353 43046\n15534 44059\n10517 14103\n19491 69467\n43987 54576\n30921 60641\n3408 79549\n4927 70754\n8513 31432\n45998 78881\n30271 49145\n54829 75404\n46842 61343\n10137 91510\n17916 61081\n6891 58132\n59122 77447\n33468 62098\n16703 19207\n22911 91505\n2470 76907\n551 36748\n78067 86821\n19105 92290\n64104 78415\n36093 67142\n55284 87305\n28394 73551\n4830 68344\n42238 44486\n84254 93023\n20072 54063\n30734 35234\n82292 89943\n43156 62191\n71970 82435\n25440 45526\n580 27156\n9481 85341\n85287 92927\n19533 87817\n10100 18446\n17156 83209\n23212 65537\n44018 63503\n61890 68992\n29479 49742\n11423 81540\n5347 42421\n13228 55350\n24342 45800\n37178 71859\n27020 38088\n21594 77638\n15974 70871\n68396 71850\n59234 74173\n29819 88188\n45776 61981\n3171 42211\n2246 34089\n28584 80396\n24112 47207\n39339 90455\n65663 89180\n23199 25157\n18361 81344\n30952 59596\n1222 83520\n68558 72008\n36073 65142\n30079 58093\n28401 70115\n51229 65608\n37292 84671\n38930 58781\n1439 55213\n20046 34904\n24656 45513\n43601 89362\n57936 72181\n71668 76407\n18562 18776\n60077 68126\n5571 61721\n49571 91297\n4818 93099\n6340 89630\n32470 41215\n35967 59617\n31996 73500\n12332 48916\n64880 70391\n54550 58426\n13671 87221\n7182 15516\n77170 92759\n61821 72982\n16875 70556\n2825 63850\n11565 32120\n48543 92728\n8119 47338\n10511 20456\n1613 61327\n13450 35696\n28662 78487\n39557 92342\n76041 88323\n7088 58515\n4474 68207\n14141 63737\n787 83015\n6124 60645\n8757 86623\n16186 47289\n1898 13945\n28447 72204\n25259 53150\n1019 15987\n58211 71473\n4034 25418\n30820 59857\n399 60873\n18218 92551\n26073 43331\n30319 34009\n8351 56815\n49077 64674\n43636 87663\n18052 39445\n71936 87813\n15751 74299\n1994 3384\n28821 50731\n48158 61034\n58220 72967\n10515 68016\n14388 28351\n29736 88651\n36160 61375\n14712 24405\n46548 51663\n24367 56046\n59289 84525\n46305 78622\n47670 92927\n10032 83271\n8477 23481\n23933 39851\n43902 80517\n70701 83072\n40158 75570\n61309 61703\n17464 18477\n35952 51569\n16571 91734\n21307 67501\n44498 88500\n18027 68018\n31304 60739\n12384 25536\n19700 23337\n81355 82579\n4178 53571\n19040 53624\n58779 78195\n34686 73635\n82507 83985\n83990 92268\n25911 80713\n53992 67643\n17579 20272\n15744 83861\n22036 25603\n41027 64751\n11005 63024\n27033 50481\n19577 48173\n66549 92674\n45797 74448\n9235 14662\n82540 88740\n35460 68113\n43093 63250\n17141 89048\n20653 46482\n6209 23930\n31249 65162\n16208 34369\n18329 76936\n28388 74626\n59437 81769\n28765 40705\n9240 76247\n8905 82127\n27735 77087\n65788 82885\n61147 62468\n1338 63429\n4188 12220\n39373 46180\n40736 84692\n8701 33214\n8326 18476\n4285 85496\n1541 26859\n12499 74304\n17615 20422\n58686 80416\n45130 85507\n7224 37651\n25590 48846\n13762 44486\n7558 83601\n32710 77109\n15023 28197\n19562 74528\n15234 46089\n22505 39342\n3161 30778\n542 10960\n4047 11601\n17303 91382\n81325 92292\n138 85700\n8171 52627\n60497 80400\n7269 38501\n8295 51096\n65039 90861\n44221 73340\n44773 52760\n1729 15733\n45990 72063\n26254 36496\n42254 84511\n7769 12432\n11073 23419\n57777 88334\n1781 61278\n10639 49994\n75716 87209\n13643 50373\n18277 47498\n31480 58866\n42120 67580\n12330 92642\n52025 63539\n6611 50276\n12282 58392\n13332 32765\n8737 21016\n36269 73603\n6234 62206\n90098 91625\n76731 78047\n31492 78224\n59918 73971\n20769 92588\n14583 40720\n699 42128\n8749 12874\n56828 63411\n72016 90088\n38732 92040\n4386 91505\n5588 62952\n22528 84993\n3764 57820\n82361 89409\n60071 82536\n66042 90010\n39826 42896\n8888 71555\n38853 43234\n19216 65698\n3673 74662\n43573 79942\n59286 89553\n18599 32961\n6603 11848\n20347 69910\n35989 84806\n38114 48048\n44659 90869\n16087 88336\n64708 65991\n17115 84374\n35521 91378\n36276 65112\n2496 93077\n79132 84993\n42693 83702\n62604 66503\n31435 38251\n6320 14236\n38729 52140\n45651 62038\n43265 90510\n36171 88439\n62267 88326\n50707 82428\n42006 55355\n43987 60431\n76351 92170\n25637 72190\n25105 29403\n47088 85620\n6188 39797\n28982 75874\n9227 34276\n4396 5988\n26448 54447\n14741 39876\n23458 29329\n51966 81553\n19514 43941\n21951 89006\n58081 64018\n15290 37375\n15037 44001\n38483 90029\n35683 53510\n71965 75890\n15805 61412\n83761 89719\n18337 41599\n15375 57677\n41275 43379\n39405 44953\n47562 91019\n50271 80343\n28569 65952\n11923 15861\n17599 57545\n15027 64171\n10318 57393\n7497 39323\n23679 77771\n2726 31967\n34769 82286\n7251 46880\n6856 49682\n45127 80342\n48732 61247\n87278 90881\n7608 47527\n7253 82905\n15720 79178\n24956 79871\n7353 15958\n65487 87946\n48451 88827\n34781 75432\n42633 80983\n59831 84706\n17927 66187\n21067 27779\n12350 55362\n13539 84471\n71100 84957\n12352 45101\n55034 58549\n50846 64254\n40093 77091\n19260 84705\n3191 41184\n74613 78546\n54034 79459\n65077 87715\n77447 87108\n33657 91233\n25439 37264\n4161 58268\n72622 86943\n6643 16396\n18447 71098\n20000 90941\n21627 36248\n15194 42459\n12359 43208\n4619 58857\n3297 81870\n50909 76189\n53927 81647\n18024 37691\n19282 47018\n3819 79297\n36223 78217\n65872 72833\n74157 88698\n815 8875\n60084 80829\n4799 22437\n23452 63553\n437 58973\n1787 46904\n34414 62683\n29453 39547\n87595 92391\n16817 66252\n4795 51292\n14460 24326\n23775 62909\n26770 75685\n32660 63824\n25542 51754\n23730 47255\n35058 81827\n42444 42623\n48555 65018\n34145 46347\n18625 66978\n19918 27293\n55154 79948\n10369 36021\n11030 21027\n77196 88126\n43422 91366\n6069 77012\n4795 88722\n6487 79658\n5427 37252\n12345 88553\n2963 78969\n32228 60725\n7015 74573\n30010 52086\n34142 72402\n67446 75842\n35936 91919\n35985 62250\n12222 26700\n17058 80783\n71475 79476\n63357 89357\n29773 44612\n44285 68465\n24834 84606\n28173 63142\n30487 41005\n29920 59584\n56645 62316\n10136 73245\n63605 90676\n44711 75156\n44803 51274\n61830 89814\n55306 87070\n1198 13306\n25583 30847\n2230 16288\n26496 29276\n67336 82287\n5678 47042\n51336 59294\n24661 53792\n56620 71011\n15741 78174\n62684 71479\n7487 47914\n25376 75273\n58802 85939\n55943 82891\n20658 48225\n62273 69991\n32275 39540\n19343 61704\n28068 35741\n9879 50025\n17180 56151\n61626 90759\n1004 63201\n26528 59236\n8063 65265\n49474 75025\n26285 82565\n46606 56817\n1746 7314\n17844 65721\n72138 92741\n43616 55722\n81676 91509\n59272 86393\n43274 52820\n9662 61222\n21208 35311\n8463 92659\n30787 35976\n51235 86193\n10277 50419\n51239 84247\n5879 40384\n20230 27983\n53353 65003\n10130 25743\n21497 58150\n33217 39853\n35534 56973\n28830 78312\n13453 81699\n35436 60148\n28080 92224\n33363 52698\n24430 74341\n52745 54880\n42679 79987\n14477 26462\n36286 65308\n10738 52020\n42676 61771\n38253 48917\n75016 76240\n80281 91079\n17678 83932\n15847 24349\n81716 90022\n9140 32878\n18554 46725\n3328 67452\n42175 79916\n11119 40495\n9415 69780\n7558 81751\n711 71966\n39448 91660\n9833 41773\n46645 90560\n71976 85018\n12925 89593\n12454 38678\n4781 67430\n12814 20219\n4791 81959\n46365 61882\n1194 70660\n57278 81319\n124 2854\n72955 82645\n1872 73220\n28781 84605\n30968 39086\n39657 69183\n1933 75356\n48316 56277\n19930 32545\n6068 65303\n23029 56467\n21400 58620\n11570 52133\n16504 59406\n70723 78843\n21050 49840\n30133 39629\n9787 54889\n22741 53595\n61033 78092\n1050 61140\n63775 87603\n10411 22893\n262 52167\n38532 70919\n10318 92636\n3292 6077\n89913 91880\n44779 79904\n3283 66216\n58390 84214\n10267 86472\n76396 80965\n70669 91210\n43979 72335\n38802 88445\n4020 20421\n44166 47611\n69042 91420\n87701 90552\n68790 77642\n31001 44004\n29384 45432\n37352 62446\n39427 68330\n1957 17057\n70047 82916\n24251 79659\n32177 67749\n70277 79264\n15475 28827\n31362 64062\n27108 31812\n647 57362\n27483 70224\n59650 62794\n5643 19289\n502 57248\n18066 25739\n9288 40494\n19103 35268\n26250 62770\n12949 90818\n30511 42973\n75559 90886\n8973 81442\n3616 80256\n54626 71004\n41002 41584\n13167 24535\n969 12624\n17953 37080\n26250 31174\n17882 53298\n13141 16728\n60002 74485\n72708 84707\n74251 78084\n3092 18513\n1999 27180\n7089 29272\n15227 15852\n39724 83320\n17783 35037\n37274 70617\n18350 72645\n25029 66595\n22405 45627\n63058 65329\n19101 72091\n14907 23105\n89945 91248\n5555 35709\n1539 69977\n3999 72434\n1859 24839\n31511 32844\n45490 74705\n59333 71106\n55626 82324\n30522 33599\n45869 60568\n6739 56459\n24265 45986\n75316 80643\n34735 47839\n34932 60157\n67537 71445\n3555 39014\n15007 38800\n9226 13182\n37093 69882\n28942 45383\n31138 65922\n1913 57054\n22448 91471\n19879 68048\n72894 88633\n7875 24734\n19774 75092\n48904 80767\n3695 75373\n9872 22401\n31865 51562\n85988 88813\n27127 37995\n34092 75469\n53365 53750\n67998 75608\n30213 78937\n5532 91119\n1373 44090\n22647 40928\n68157 82836\n18349 18693\n32679 83560\n35097 42893\n5349 33866\n6049 50355\n15438 92644\n25259 78862\n12719 34003\n34327 92234\n27672 63371\n3635 9735\n43579 62499\n11520 37359\n56439 61790\n449 77027\n43292 65444\n51572 69268\n36024 59419\n22955 86806\n43119 85615\n6600 31767\n40115 53021\n9004 83687\n10428 45727\n5495 37116\n645 18280\n70684 89592\n53240 54713\n61026 72694\n10374 56865\n33246 82379\n36548 63870\n218 27625\n17401 45874\n70 52868\n31940 66877\n41760 54637\n45792 73729\n11294 42348\n36 47704\n41440 64100\n53849 81813\n2718 18545\n18721 76659\n15609 28601\n34863 74174\n57305 75109\n6293 83160\n6027 51297\n56922 68608\n11921 73323\n12872 61638\n16304 62632\n34013 47082\n53978 58559\n1461 51812\n45142 57606\n9966 91083\n6111 89415\n12175 74239\n7273 35452\n59335 69090\n20202 30182\n7030 12340\n9856 13450\n14310 46998\n3574 30277\n34852 50121\n46762 66575\n57190 89209\n56131 57631\n18570 82081\n7688 64469\n890 54189\n55412 74997\n56454 71102\n13327 20763\n9459 74074\n57364 86463\n27367 27406\n42546 78982\n88995 89739\n39986 85679\n88619 89785\n22755 83701\n47173 61383\n63438 65725\n45390 61613\n1350 34438\n54046 67070\n24412 58272\n2587 28918\n24656 26994\n72990 74715\n33641 55584\n29753 88146\n83061 83364\n36555 44247\n33425 34025\n2632 42880\n600 44253\n5124 24333\n18435 83731\n32900 68890\n38837 76231\n19157 75354\n1837 41899\n80442 84119\n59374 76019\n15622 62009\n43227 72004\n40715 46596\n38317 73541\n5912 26801\n39171 40163\n13967 48774\n32049 88031\n31508 32903\n64932 85194\n35332 52149\n35209 56427\n69378 71937\n15964 56525\n2426 47395\n15061 67018\n32038 85964\n1429 33358\n40919 66684\n8943 12214\n28264 62682\n66855 81891\n25819 73895\n26643 70018\n66386 88769\n39825 63479\n58743 75216\n28918 29255\n9662 38849\n10411 74011\n15384 32945\n60264 60710\n7485 23018\n40798 72072\n78626 91898\n56686 74700\n1164 28047\n24576 37285\n4293 36075\n9112 75235\n67775 78999\n46223 53492\n62688 66922\n29005 89230\n8875 12412\n41154 77640\n68954 74205\n2589 33824\n43052 44415\n12711 86965\n5907 23251\n60359 63060\n57033 59969\n70982 74429\n15024 41813\n19641 75054\n17197 89239\n23942 61012\n13979 70204\n3062 87873\n20518 87232\n46767 84347\n56460 77386\n9494 38753\n10417 35861\n63569 92105\n542 17121\n17149 53555\n14304 77481\n24932 78021\n3164 15445\n25121 47084\n33563 53021\n434 74614\n24706 84553\n24320 86616\n6348 66522\n29660 80558\n34657 54233\n68977 84644\n23475 37525\n38979 64196\n13854 24049\n1116 71705\n65510 66868\n36789 48205\n6706 33103\n4825 35039\n25736 31685\n1508 45506\n984 83683\n7636 72497\n18342 93062\n7124 88043\n17531 26841\n43418 50446\n70882 71230\n17538 81702\n33408 55381\n8374 32876\n4151 14467\n21 4388\n36914 80670\n6423 61099\n60489 85940\n44870 56337\n69031 70316\n8390 86057\n12082 64482\n17245 21453\n13646 13736\n48945 89588\n37816 63465\n26859 88088\n17996 31988\n30058 59774\n38759 72927\n4883 58982\n7920 33930\n23981 76345\n39990 79787\n84244 90537\n44070 79898\n85952 91558\n9473 68954\n25739 91290\n30707 80715\n52382 62487\n19836 65452\n30685 56929\n34439 85114\n17674 91020\n70914 89460\n6375 78587\n30534 91190\n26854 32987\n28035 39266\n17888 30558\n41418 64714\n62427 86264\n39608 52217\n40286 64076\n23370 51561\n61422 90863\n36376 56264\n40109 84442\n4960 39132\n9613 17859\n16277 44639\n46419 48593\n22560 29636\n54955 68141\n11540 32833\n60525 74373\n44691 53792\n29840 57720\n46558 66304\n49935 86451\n59392 71749\n10570 86840\n55619 89677\n69496 73864\n45005 83158\n35074 85287\n18311 57380\n65369 90220\n12552 14129\n10984 77741\n19206 33945\n36866 50378\n20936 57204\n21733 47855\n39220 74452\n7108 75122\n73545 84731\n70268 90377\n29822 34010\n23299 58963\n10076 35260\n10827 89423\n67114 79280\n6681 15026\n30030 77198\n33451 78113\n27978 61363\n58932 76631\n63912 75358\n60302 92876\n71904 74156\n1305 34029\n12967 15683\n2819 29482\n166 67620\n31431 49461\n49835 71708\n57525 77185\n42496 50084\n44793 81750\n39391 68136\n24952 51518\n31006 84242\n1917 43823\n33535 50339\n62613 68055\n82999 89027\n5155 7942\n67531 79609\n55288 88777\n34171 37919\n49000 80242\n54460 84831\n66340 82978\n4531 32767\n3754 37987\n13146 18313\n25620 67892\n21977 71048\n47331 84612\n8138 15265\n24281 64027\n4729 30731\n54110 84330\n21715 89217\n3491 77817\n11165 79702\n28704 85285\n3860 83597\n41180 54595\n24047 62594\n9384 76517\n40493 90278\n22648 44070\n63310 75104\n3456 67945\n20990 47693\n14035 32773\n36823 86506\n29111 69187\n19532 20441\n7018 68322\n30833 66251\n44436 49136\n64285 70308\n10426 82924\n12790 17720\n3690 42121\n2503 25046\n26832 37534\n56082 93026\n52490 59960\n22625 38601\n13296 79032\n36820 47853\n21030 21232\n33300 73012\n40815 73448\n40315 63831\n13886 76116\n36608 66830\n19816 51340\n7918 80445\n28794 63065\n17517 79233\n49899 60254\n58388 92565\n58022 72688\n2087 87698\n57524 78189\n1759 88923\n30316 31656\n1843 16492\n5887 81499\n56639 69333\n17830 75090\n39299 72236\n46611 84929\n25670 81095\n43823 85421\n24465 39475\n4184 65294\n9578 20359\n2950 27552\n23658 81854\n20087 77505\n22723 29055\n8244 59873\n7926 35115\n13731 61413\n21936 23471\n22001 53537\n6828 26521\n30908 71303\n987 62910\n591 77353\n12905 41200\n1164 79297\n9049 16934\n7906 60460\n38182 69751\n39315 45310\n59697 86193\n37615 48893\n38711 46188\n28178 41758\n54463 83154\n73701 86428\n10692 61504\n883 61058\n8306 90837\n4032 4525\n35639 45313\n17245 64324\n15057 71827\n10456 73285\n21532 30350\n37439 65142\n1099 87231\n2861 43773\n55366 93060\n17359 20697\n47987 76122\n42767 48318\n2717 47304\n60198 89572\n18341 54865\n37627 50591\n48254 63219\n4304 13931\n82713 84282\n8233 44041\n80403 87066\n57400 62403\n17298 66509\n57187 78404\n30024 87953\n31028 61293\n26165 67966\n38357 74631\n9866 72845\n61157 85810\n67090 69549\n38135 53127\n73855 91280\n3967 48399\n532 14922\n73181 91455\n64005 70587\n35657 84607\n21102 32613\n65003 70029\n15708 64796\n14175 67945\n23420 69188\n49820 77741\n30313 84279\n11740 32357\n61160 72165\n39102 42806\n61649 74908\n74907 83663\n28595 47935\n28456 87371\n26064 52905\n46361 52234\n24383 77178\n37945 65615\n1498 29648\n67775 82134\n1608 80765\n53035 56281\n19044 84372\n30350 85014\n57882 79140\n31193 76221\n8890 35664\n50777 87312\n57330 67182\n46377 67579\n12024 82950\n41873 55102\n34127 69237\n72966 86563\n11647 51449\n56852 63695\n5165 16492\n26172 72506\n31393 56382\n48996 64846\n28167 66781\n67363 80094\n62816 86469\n10984 78736\n64763 86346\n17593 51299\n17200 92042\n16003 45210\n42638 71861\n21206 31755\n25822 29827\n32821 37975\n43627 54207\n36299 63695\n51132 85642\n18291 63703\n11495 28117\n24425 89361\n33326 53890\n1158 52614\n40256 92698\n26573 60223\n83241 92411\n21729 36067\n40309 64324\n33816 73465\n51926 59110\n4622 51564\n63274 80132\n12311 17396\n17662 78329\n23615 89554\n23304 76160\n15617 82566\n9835 64839\n38800 55876\n30210 59361\n51426 65938\n43678 59689\n85502 87193\n27147 60538\n37653 60793\n35858 36399\n6724 46067\n35072 53641\n6298 92996\n10119 75058\n28965 67304\n49370 92061\n39070 83394\n1129 80176\n48729 64686\n7643 67549\n4025 11172\n72976 83564\n5748 57200\n67932 76504\n34783 55819\n2816 52101\n2760 7860\n20349 21772\n50890 93048\n53461 84181\n53893 56288\n40957 47582\n5655 30290\n4676 79448\n41378 71705\n38012 42126\n10307 34793\n20542 53105\n76149 90540\n27159 82823\n5544 66745\n39114 76186\n4799 70395\n65930 91283\n40972 43731\n11925 74794\n76682 81716\n28718 86197\n1851 70856\n46650 82027\n23968 68040\n4505 78517\n733 17200\n19654 24976\n2479 41244\n41078 47654\n22730 44483\n6434 72711\n15443 15573\n23537 71291\n31558 42148\n821 6271\n69660 82461\n22008 74997\n27494 27804\n36108 92209\n13728 89589\n615 45930\n1791 23160\n90460 91961\n20904 93097\n9160 90832\n46710 49913\n58592 80384\n41181 86820\n24865 56150\n31672 66079\n19935 25469\n19169 22230\n19897 45970\n57433 76974\n1905 2399\n35810 74703\n26571 93005\n16785 18109\n86267 87043\n26048 56442\n29586 48178\n7643 80250\n14997 70999\n360 19033\n65479 81777\n10770 57068\n17818 79911\n47487 77548\n76352 81815\n1223 79677\n11013 89123\n43106 68364\n11910 68704\n9102 32679\n51576 87932\n31323 46056\n56124 69077\n62844 77968\n33780 82763\n29165 75077\n37486 91206\n58013 90451\n70043 87084\n33890 35269\n2323 68447\n92119 92282\n9086 77001\n50420 71167\n43504 69555\n55934 87803\n11642 65006\n46041 86402\n23803 83074\n26267 47070\n1945 37716\n51368 75211\n9514 36341\n27593 29168\n43812 49105\n57438 89038\n13667 76828\n2287 47171\n18623 28718\n12559 36933\n9708 70858\n14071 91939\n68215 81404\n24402 33530\n42331 75273\n10482 42878\n17246 43580\n37069 78900\n308 23536\n39939 70599\n83739 85844\n8424 80213\n70681 83139\n3812 66658\n23400 61461\n54271 67602\n58899 74397\n51962 78992\n29650 37669\n16121 75377\n44125 78782\n24221 52250\n11101 64585\n39793 78835\n5977 23784\n46562 67398\n49956 68971\n15633 64766\n48343 50443\n52509 85925\n11908 75993\n45585 46601\n47907 88343\n22559 40518\n35221 57636\n69314 80001\n24957 91692\n2657 60951\n36037 73814\n11277 24960\n17443 37247\n10942 82835\n15281 52449\n31439 37038\n48162 79401\n19866 49453\n66073 69705\n24645 45670\n23298 84483\n18508 87483\n17199 52891\n27993 63143\n40645 87227\n21877 77953\n13679 15245\n22088 82465\n24882 56098\n60917 81610\n38025 80747\n85063 91676\n21541 27159\n33218 50026\n36592 48889\n13020 36268\n76043 89039\n29607 89231\n22896 36972\n27436 39914\n29126 48222\n4826 92594\n71932 88628\n54165 67233\n6487 55724\n7195 12983\n28700 37200\n74177 81359\n8942 48882\n47843 56422\n6960 25213\n54170 72149\n63326 78536\n41249 49024\n29242 39895\n23394 52528\n47389 57058\n44576 71212\n34699 55535\n43208 85767\n8662 40631\n53063 60837\n59459 80590\n84236 88095\n25699 60549\n25702 69046\n39435 42048\n35258 43620\n33996 64158\n29864 52841\n25241 36462\n7017 76470\n62658 89852\n54504 91769\n25 23597\n49206 50232\n5597 68900\n5006 62522\n36259 40726\n3254 42032\n53951 71392\n53342 71951\n60765 83389\n23740 31182\n1410 18954\n39389 78346\n74683 76303\n26629 32125\n45902 70221\n27646 87601\n18420 28410\n61695 86663\n18458 73989\n43158 52592\n10573 85335\n3418 77172\n3791 41285\n33824 67001\n5711 82184\n56100 72992\n53573 74274\n31374 57426\n4818 34792\n5349 80899\n2537 25966\n45082 64842\n55885 78294\n46777 88939\n44678 80056\n21984 29631\n32190 65955\n34973 88355\n30828 45778\n72551 89988\n35411 75218\n29964 90757\n25318 42112\n85766 90378\n15183 68511\n18829 35537\n60114 82370\n30993 79818\n36526 58162\n23932 55727\n43073 51244\n65751 72780\n6578 49922\n20364 85064\n27922 72227\n48518 88772\n40429 51904\n50179 67472\n72155 73879\n14663 57731\n34314 59895\n63831 69364\n7329 67289\n9887 23102\n40621 72811\n12801 76031\n53548 55639\n2633 93088\n23154 60292\n65 38678\n34414 73370\n50609 81470\n29097 74819\n54794 79559\n65139 88725\n22654 55393\n37591 48951\n16512 84492\n83993 88830\n11332 27787\n46172 54255\n19593 37016\n74515 83181\n7716 33259\n34055 41910\n568 24970\n63327 73519\n8188 22767\n18853 41321\n77308 81675\n46224 61896\n62261 91516\n4359 89005\n70003 89177\n1851 52661\n25209 58017\n2366 78867\n68269 78191\n37882 83311\n75100 80849\n13889 81080\n7960 15277\n62844 86832\n19489 73392\n32528 80203\n1771 60876\n12805 23897\n15977 53150\n23864 64543\n14331 62383\n11819 35128\n69356 77226\n13303 81003\n16341 79558\n65385 79025\n33058 67633\n19819 46157\n35354 54690\n22927 63652\n50751 70737\n13447 47701\n14361 68561\n37832 72274\n12681 83234\n18074 67461\n5177 46486\n63876 85368\n10712 77527\n14215 57925\n40972 45396\n55672 64862\n36942 45745\n29286 54026\n46678 85181\n30999 74723\n15917 70104\n6880 13986\n34708 77592\n22130 42686\n31370 80218\n5763 24470\n64113 74562\n8864 61807\n71358 93125\n25366 28035\n52049 88665\n80358 92309\n41825 88965\n9197 46913\n22990 60609\n47325 89494\n50405 81709\n26902 77358\n30103 84315\n34572 57049\n49409 65906\n84933 88151\n42872 44411\n22147 54884\n55770 60013\n34783 83811\n42168 86898\n33239 91700\n141 52003\n35298 57861\n49439 67290\n9420 30247\n9164 37983\n82716 86559\n8557 25268\n21997 88876\n18211 59671\n58402 65559\n17544 62099\n25914 50759\n13383 21100\n25824 46310\n75448 78764\n38691 61956\n74843 75296\n10961 27095\n24534 58270\n42943 85012\n21498 31099\n7722 12864\n5629 66838\n39642 63025\n973 81179\n36408 93150\n52470 89798\n27874 55882\n3141 90602\n19192 28009\n17986 72817\n31047 66993\n31921 39226\n4469 30273\n7211 68960\n44341 88636\n20482 61484\n20469 89109\n20491 51891\n388 84006\n12253 50764\n86002 92934\n5623 10536\n6027 36366\n21712 64186\n14235 38160\n23337 37075\n51967 77027\n19155 68894\n43080 88242\n31627 50980\n20405 43078\n2425 4889\n10881 47233\n33897 43957\n5849 73647\n13394 51817\n16334 30211\n66731 82789\n291 93147\n79929 89558\n43959 64871\n28286 57871\n12303 51511\n3950 28822\n31972 84057\n74407 77568\n20886 26295\n63093 77992\n17660 68712\n8025 56652\n47373 48064\n16805 49344\n34718 71096\n67584 73718\n543 5371\n1589 61952\n8868 17118\n53967 54562\n28457 47976\n9280 61781\n66072 90670\n60268 83295\n7303 20470\n4903 92054\n11539 28082\n52012 52271\n5399 33867\n33206 82854\n36996 40404\n34375 59712\n63676 87837\n55367 62700\n1427 18167\n24616 35713\n79724 89467\n20619 30041\n43141 78796\n49039 83187\n9795 27165\n39 18728\n23522 74804\n23356 28439\n27230 83252\n22626 82014\n26790 71653\n35445 35880\n38253 90002\n16487 55927\n19724 77762\n21534 88444\n57132 75484\n17782 63431\n40546 82432\n12508 67307\n87978 90997\n17344 59343\n60058 68185\n92219 92993\n37001 62096\n61945 74739\n35497 90108\n7600 89144\n12983 28826\n7698 91707\n262 5571\n6792 48566\n31403 46073\n86471 87922\n22714 44357\n39330 55726\n13947 86572\n25543 89626\n3328 61352\n78207 83147\n23325 46009\n13321 22441\n7742 77311\n55628 78743\n18235 44535\n13555 67741\n5550 87498\n19668 82714\n25054 25873\n50669 77903\n21031 83132\n31595 90984\n8808 34514\n14944 48690\n3323 69332\n12494 83093\n21427 23000\n46375 58611\n10430 92910\n36587 51764\n14088 70585\n1725 61503\n16964 88724\n16066 87617\n44048 74613\n18140 39745\n18443 89620\n35395 83690\n27922 91537\n22679 84906\n40045 90533\n45656 67806\n8802 82038\n62336 62366\n40203 71311\n61300 75803\n15162 82456\n33166 53848\n24269 60278\n51810 63753\n70164 81680\n34306 86532\n34028 71448\n12861 23271\n7177 55343\n7256 59338\n19145 28372\n2277 63392\n7240 56385\n39849 48381\n23142 82326\n15566 22580\n33921 36257\n10391 67505\n24656 49241\n16361 92749\n9464 44961\n43928 67306\n8072 74780\n10759 44748\n11589 30455\n45567 69433\n13863 78021\n62802 91300\n70938 81734\n67412 78955\n56205 75610\n327 75610\n16559 37465\n39757 46161\n64436 67560\n39061 40633\n33788 34301\n36452 44065\n68821 80719\n62487 62627\n16765 77779\n62387 63165\n81752 82879\n25301 90236\n42216 80899\n19518 42538\n46766 47371\n44141 44349\n22925 31222\n13201 21253\n24027 81867\n44419 82296\n15073 42584\n8844 13636\n11941 38828\n12699 57687\n1481 17207\n59431 79772\n13391 61704\n4805 55178\n67098 78962\n13216 67245\n32428 44555\n57111 72047\n70734 91138\n26634 39449\n28610 84375\n69977 79405\n3463 54103\n56000 62578\n45140 85274\n35167 53868\n16715 47496\n8273 27145\n60444 71660\n66650 85998\n9916 79029\n5275 51856\n2291 48703\n58621 91967\n8818 39894\n51064 81076\n4737 24026\n55223 77279\n22449 71516\n36470 53560\n43924 90225\n34570 59642\n38873 72781\n26502 92399\n2363 60794\n12004 38102\n62488 67053\n64387 76789\n33624 37772\n31114 68877\n45063 77553\n11412 72786\n56890 78200\n49190 62205\n12758 24350\n2654 59738\n21544 34446\n14754 44490\n44763 67591\n7664 72571\n25907 80136\n832 25439\n39501 75266\n13131 37172\n28172 47364\n10992 67614\n16284 47905\n8719 92158\n52153 68928\n4724 6252\n47713 87041\n10735 38699\n53480 77712\n3729 21456\n3478 15306\n6311 16915\n44924 47224\n31792 81652\n7624 61278\n1061 1321\n37793 79460\n39322 57154\n37198 85525\n42712 53306\n58369 85170\n58397 71530\n7057 21814\n53433 57698\n50751 80548\n1144 69577\n65513 73034\n23705 76215\n56318 69489\n2779 84706\n690 26445\n31045 67442\n37516 79115\n6758 84581\n41692 87443\n33255 73037\n2533 84144\n6781 7874\n37980 64471\n35790 70397\n15946 20771\n40585 41770\n32575 61012\n85194 91197\n57300 71649\n45092 89848\n47429 52047\n61484 83221\n56742 74464\n55395 80406\n3030 92363\n67597 76960\n4655 51069\n40399 73208\n59166 79526\n40549 68298\n6303 37982\n17127 48470\n76070 88883\n80607 93060\n18645 86763\n85824 87006\n34159 80774\n10575 58487\n59637 87041\n27918 56368\n19078 50685\n4835 83931\n35733 83767\n3793 81763\n67649 75010\n18705 87382\n10679 49321\n44145 59269\n11712 39826\n42192 85390\n6203 33635\n42968 66398\n10557 54190\n8294 90780\n49790 89042\n7371 42048\n8497 67789\n13063 62033\n73019 82849\n50907 91214\n54142 84506\n25502 39834\n9524 91179\n22369 24520\n55052 65848\n25254 74632\n33625 36426\n27013 41291\n1492 8156\n67625 77972\n102 65662\n63841 72026\n67150 79266\n66241 74088\n27884 46684\n61767 83595\n19502 24112\n18198 24178\n19340 24849\n9371 63653\n17352 26903\n46077 67534\n47447 49547\n12140 81985\n7919 11079\n15399 58575\n10350 77053\n15825 74932\n22759 27254\n22793 68714\n67988 68566\n21900 69165\n23089 91687\n23414 86025\n58175 92351\n25378 25992\n83926 91821\n1443 16571\n33806 69746\n30375 79391\n35420 69893\n7567 86950\n2770 91753\n81709 88880\n19690 43927\n46745 58011\n13259 29133\n14027 29376\n10479 80241\n59464 74016\n9383 46686\n10177 63283\n36822 88871\n57563 83490\n55174 79786\n10012 90011\n10951 74816\n51181 59239\n53111 92044\n2972 19040\n39408 82104\n53236 60487\n17628 29842\n76258 76828\n1719 63707\n5225 76335\n24183 82404\n18115 39045\n84116 85939\n85272 89486\n20852 51193\n30825 61631\n26985 44295\n8899 42796\n57085 75557\n25297 48241\n92372 92931\n28368 77981\n19647 65217\n35080 61610\n38597 72353\n86638 86756\n27053 48849\n13007 51279\n70048 89545\n11671 82161\n47181 59525\n88435 92608\n12824 83232\n46236 57585\n72717 81549\n56935 60779\n26244 92728\n83560 92864\n872 62886\n5939 12602\n46941 57955\n36907 73549\n25814 91123\n10198 49423\n76328 83078\n15268 85569\n29109 49770\n32659 67892\n72421 79884\n9951 14779\n36383 39604\n11394 23362\n9074 56678\n18177 23175\n15759 76155\n35130 40920\n4379 80915\n6404 32524\n30347 67345\n1828 75706\n16207 69127\n15399 45655\n4813 18502\n56045 63477\n48283 72089\n39818 61627\n14477 57999\n48318 71626\n16435 83073\n31571 79295\n23619 55697\n7840 86630\n29796 77174\n76687 78330\n24265 33891\n42388 69287\n12384 49911\n14954 43167\n43079 63866\n25777 56117\n13024 25149\n53376 56795\n25568 51918\n13177 15246\n14695 82018\n20398 26486\n15821 85700\n47548 60232\n78196 86706\n76412 92104\n31569 68694\n16417 86702\n38803 42212\n11090 58470\n24712 91441\n47097 76331\n53957 65969\n3125 28408\n69558 76025\n26564 66683\n9043 85671\n39372 50763\n27474 71859\n73385 76106\n17764 60561\n41604 68638\n38744 54087\n60428 68194\n36558 39587\n9959 61233\n33779 52260\n9063 36933\n54451 85276\n19174 29971\n66427 88337\n12777 63935\n48921 78158\n33044 83894\n25327 32841\n17581 63931\n14177 67955\n30298 47561\n5774 29973\n27199 35717\n10763 90773\n27471 32585\n43135 46578\n4964 60609\n15497 88036\n23055 58878\n26391 82258\n7069 30437\n28593 88427\n7368 8787\n54105 65337\n5876 6247\n27513 35450\n31746 36875\n59217 78225\n26555 75341\n27004 75352\n49194 56329\n29548 89832\n25880 70214\n11669 37077\n76084 88886\n70897 71324\n70173 77448\n25194 87352\n30162 56286\n72163 89570\n9132 10075\n1284 6908\n18130 78889\n35369 83701\n14667 51993\n63910 74633\n45277 58115\n44560 66628\n27539 29945\n1927 54841\n33567 41857\n9833 29329\n4081 26799\n59986 91506\n67663 88286\n1635 59165\n78198 80941\n11123 64476\n7444 47021\n15783 46696\n37761 49875\n74941 84254\n54147 66919\n56134 74990\n38782 85155\n44900 85350\n64542 87469\n10733 29994\n35281 74564\n7567 61920\n46406 78405\n43563 51438\n19406 49596\n4461 16532\n24589 42172\n3771 67428\n67686 73758\n27104 78456\n15254 73274\n67533 81384\n26401 75861\n56634 75671\n31594 52567\n12890 17672\n57698 93006\n78894 79476\n644 1304\n39921 68674\n20234 69757\n65858 86467\n42700 58794\n47326 74936\n26642 50149\n44722 71757\n9650 13228\n28000 33939\n1685 91875\n59732 65117\n47964 91415\n1740 35804\n14040 69698\n26387 86233\n81959 82990\n20465 51486\n8741 69552\n22113 49548\n974 64319\n7112 52072\n13186 70231\n16181 54833\n42367 66893\n72956 87763\n58774 81432\n19122 81248\n50458 72907\n67431 73053\n14829 42202\n30248 79830\n28625 44946\n75130 77530\n10767 77626\n19269 78617\n31478 70294\n59517 69984\n41015 76553\n66624 89326\n54614 71012\n15541 81416\n14092 37742\n36568 66044\n47101 49883\n11050 38044\n48993 92801\n24085 35648\n5912 82096\n36099 91782\n54288 56612\n24220 54012\n40 44688\n74359 87781\n38976 92196\n65223 91110\n6902 61634\n51199 65439\n33408 66330\n12784 69509\n8429 91027\n57216 75794\n1866 74052\n25666 53627\n3626 35713\n240 32499\n13247 51468\n35024 80800\n57224 77271\n52631 77184\n12774 46918\n54537 75159\n67715 86776\n35273 53928\n10326 80842\n35667 92670\n50445 63861\n58970 67995\n88440 89090\n3025 43268\n48434 74950\n70497 89900\n25606 76986\n5120 24024\n56730 80006\n23124 61918\n25765 57996\n17755 18139\n12897 39842\n2651 92358\n28850 73447\n33693 74781\n25450 85363\n71947 74890\n17098 92522\n48567 89999\n29826 43364\n595 86980\n61413 89049\n16333 53737\n64202 89790\n14975 28324\n22576 27578\n43859 58947\n46558 50173\n2045 82434\n570 2221\n16783 62199\n67249 72394\n35645 83139\n28416 65067\n6334 78578\n46211 86608\n45704 62189\n31359 57821\n50389 70014\n45441 58135\n39909 76881\n9002 62668\n12940 84590\n11885 59374\n40649 54685\n20850 91149\n26194 80602\n8850 69991\n23907 68072\n30641 73595\n3327 91599\n43381 64304\n15493 51103\n10294 45049\n68553 71642\n28783 39646\n37503 44187\n8922 77540\n33243 64260\n4099 35054\n20375 66593\n59992 76545\n69343 86060\n37127 56908\n9987 56499\n59502 77792\n806 32395\n54602 75877\n70465 90964\n35253 68019\n4440 12823\n49504 80462\n38253 89132\n18574 34124\n17777 65041\n56977 61805\n50401 55795\n8213 87839\n68738 86200\n25499 52024\n3557 84126\n52172 66852\n37107 63733\n17028 65675\n54754 89302\n12770 69963\n41617 58227\n44609 85562\n66302 92545\n4321 66427\n29217 70834\n2068 25061\n47270 50541\n29268 89077\n67071 71560\n11912 59857\n71404 91534\n35379 36971\n1965 90047\n13880 73913\n21411 26877\n22878 44172\n30973 53720\n14882 47394\n41475 59003\n28256 62305\n28408 75011\n9530 83909\n8758 58375\n14397 21917\n58687 59821\n52892 55205\n19922 44800\n36111 75809\n70348 87708\n72837 90177\n9318 36002\n9482 58519\n13730 76938\n19840 86017\n10005 22556\n25848 40777\n34752 90675\n5422 51826\n28700 72109\n31324 65503\n3301 92306\n3237 89635\n62364 91862\n72020 80852\n51276 86524\n24496 51165\n43803 63888\n19007 81188\n30440 32463\n3553 4522\n32790 49727\n19379 86848\n48685 91925\n21373 58075\n36408 49692\n62022 92144\n8593 65803\n14882 69972\n13563 29128\n35562 43186\n5963 78196\n50281 50333\n41168 55111\n13139 49625\n59526 67484\n28616 63642\n47525 64675\n31710 34629\n64508 90767\n44016 57808\n55751 85644\n25170 84414\n60353 69044\n1564 91247\n40580 83420\n20276 32396\n22420 46953\n14779 72732\n25069 87400\n60111 75611\n60904 93102\n19826 57175\n6955 22036\n11710 39852\n6339 6765\n12687 62061\n231 44126\n6418 63221\n39682 51611\n7222 25245\n14971 81598\n32599 34744\n70842 76309\n77044 84065\n86306 88734\n62286 66862\n1652 73509\n32040 76929\n79687 82585\n4915 54936\n51958 84969\n61538 91175\n32756 57582\n22450 31291\n10325 58198\n12886 70615\n50309 68257\n1207 17331\n12990 65915\n63349 71513\n35433 85073\n633 23889\n40380 50753\n12904 77988\n14362 29538\n27999 46662\n34512 56973\n18263 81906\n33255 50585\n151 47514\n49447 80863\n49309 65786\n13589 64776\n76783 85915\n6421 12849\n14758 83162\n53073 70211\n67388 68752\n47772 82389\n41590 70860\n19533 38936\n46237 73577\n13041 51555\n17200 49311\n7540 18247\n43393 74101\n47956 74494\n14026 28696\n45042 66183\n17380 55580\n43375 55341\n63532 66262\n19582 40614\n22092 38715\n11996 30453\n12591 36047\n3017 78850\n13054 16700\n63953 66466\n39116 74185\n54461 86358\n15260 24187\n46982 61873\n42209 45405\n80237 92834\n22007 22745\n55097 57948\n2004 56449\n30096 31479\n27475 88464\n560 36791\n75528 93177\n7500 74826\n46390 79046\n5023 46569\n49812 79189\n2772 53401\n21511 62571\n3365 84726\n73136 90048\n41232 72973\n6891 38911\n52908 82942\n35369 45725\n63000 86747\n12359 51571\n18134 31964\n42277 64937\n71272 76512\n45769 87132\n42308 42945\n35758 37046\n27908 33491\n65101 65697\n35226 38722\n5940 43352\n48784 83925\n69234 70122\n75580 90567\n28743 57982\n12485 70073\n46217 58278\n38408 55667\n47667 69524\n32792 86510\n77321 87129\n9967 91881\n69957 73823\n2276 51708\n24400 86962\n5811 60113\n52084 72336\n37779 81884\n51991 70017\n41063 52942\n3719 12984\n42313 74451\n37144 53796\n4447 14986\n34144 35499\n2406 7800\n14539 86984\n2659 56295\n32469 46763\n65688 66223\n10850 48934\n35850 78033\n2952 81735\n3470 14803\n46697 59443\n65332 76999\n59000 72678\n45584 47081\n54268 87006\n11184 14496\n4585 37919\n41665 54603\n2204 43170\n16627 76032\n29026 46502\n19678 55437\n71384 80253\n6217 16882\n32151 51476\n41242 68452\n49936 62570\n82168 88853\n17705 86900\n43558 81706\n57565 68229\n56858 71996\n27070 36256\n36963 69343\n37234 48896\n11133 92433\n68932 84440\n8598 81769\n68751 87615\n51839 88596\n42545 91090\n71031 89601\n20778 76619\n3474 63885\n80928 83817\n20844 58714\n52885 54246\n31258 48732\n71878 76313\n20563 63175\n1283 17359\n86246 91668\n9344 10047\n52978 93013\n7145 65898\n14686 85116\n54891 92113\n6820 28752\n33818 60001\n11680 16254\n19071 60286\n72565 76043\n3379 75851\n13368 16686\n12858 70604\n10946 83887\n3557 35973\n26794 47948\n12718 83122\n53907 59641\n1290 92979\n13821 48195\n20842 36972\n36255 66721\n42995 60799\n38843 68009\n25830 90914\n74533 92500\n70285 90895\n6496 19454\n40652 84963\n46191 84801\n52714 59564\n31206 35645\n15791 66064\n29018 34019\n74036 89573\n2530 43995\n39642 40303\n55394 88461\n77175 84024\n31924 44206\n45332 79279\n2751 39499\n16523 19161\n9224 69322\n24244 33595\n37275 87903\n31751 50795\n68205 72014\n75844 78020\n50626 56370\n61128 82352\n50683 69682\n31637 34700\n8334 56438\n3111 61889\n31376 85627\n61802 66049\n28876 79516\n14031 18026\n14389 91399\n50983 69272\n5212 61727\n54430 76331\n5735 65718\n46119 56025\n65272 73137\n34196 76908\n24033 56914\n26483 63933\n48561 87112\n8947 35685\n46678 62343\n11163 49911\n40232 56541\n21852 38396\n48265 70900\n17519 80138\n21082 60454\n4049 35326\n8346 84827\n32520 58302\n57103 89996\n23172 74680\n34595 91143\n4923 15689\n10407 30773\n30927 67542\n15805 45623\n6245 83300\n34322 58255\n31884 72012\n39755 51511\n50970 66718\n69307 85451\n45699 46444\n11338 79057\n28437 86235\n29520 87184\n20499 84746\n55116 65591\n31794 42115\n6542 25895\n34963 76098\n12203 72157\n66590 68935\n59927 66139\n11085 27180\n27925 37684\n7917 46245\n31385 41326\n20382 90209\n81904 91113\n51673 73026\n16555 90639\n43748 89170\n16979 88212\n5754 48205\n35219 47123\n3000 75116\n17572 53601\n2885 84151\n2606 32476\n5096 31897\n1642 73370\n7052 51261\n43767 61378\n15555 38864\n11928 37496\n56182 71481\n9385 56155\n75108 91162\n29836 60637\n7414 83819\n30264 91045\n43311 48404\n82780 91742\n15539 76922\n23132 24051\n45150 56822\n2605 58707\n18401 27225\n81421 87816\n2057 40195\n54508 76911\n44 25656\n22660 50780\n25073 70466\n9452 10653\n57692 65976\n30491 33258\n14487 45994\n53217 76515\n799 53650\n10865 21389\n6900 70212\n57431 78135\n50048 56249\n27589 56417\n10311 86839\n62137 92462\n11703 68836\n48622 62028\n19453 46192\n31020 35085\n48619 54323\n4205 64088\n40069 43703\n52900 90905\n38922 81059\n48946 53110\n15346 86206\n61446 70660\n53296 64575\n56483 69565\n40296 74011\n9002 50180\n52465 66853\n2584 67264\n28531 64038\n15765 42630\n79503 80079\n47609 77548\n44659 81075\n28730 42176\n46366 89189\n28484 87551\n884 93139\n33482 44348\n2831 30202\n2063 89112\n78958 87575\n27147 57351\n5338 44724\n50862 89843\n5784 72404\n24370 34030\n83065 88957\n69193 73780\n12149 64623\n15137 35644\n4231 21713\n60488 90945\n6615 72457\n57335 57766\n41373 58208\n31855 76469\n11812 88216\n35217 75985\n10447 55877\n2085 79199\n43651 67197\n40362 51726\n20473 58359\n30358 36817\n10150 39397\n27837 93047\n2010 21042\n48070 71473\n73264 79259\n14009 20959\n33052 59225\n34472 65487\n47383 92953\n40309 44459\n35213 70391\n33617 87963\n14707 36448\n3120 82566\n52431 81800\n34495 82028\n75093 89464\n28419 81915\n36984 80436\n35805 55646\n6840 90567\n59927 75615\n34437 83097\n75787 75927\n34709 76612\n2740 83377\n15200 64618\n58723 91025\n18666 62867\n26558 90500\n21681 53983\n29129 41676\n85788 87235\n1919 25348\n8931 82747\n5126 65594\n62358 77388\n19134 85764\n46268 81597\n61899 75537\n21980 44099\n16088 84452\n7064 38030\n2685 64308\n1717 70258\n6829 38549\n18693 58192\n20366 24459\n44256 46134\n34494 46949\n81348 88414\n29078 84721\n53266 67763\n6769 22387\n15561 32041\n9887 17377\n68013 88005\n23718 47159\n38959 60984\n365 12386\n21813 32687\n5775 72927\n6 62209\n17564 29875\n29101 85475\n14640 90462\n20311 62120\n14624 39932\n74552 93093\n4185 32231\n44295 74683\n18345 58423\n45143 70685\n34681 48936\n46550 88991\n3950 67481\n39971 41343\n22066 58423\n10031 34191\n12659 77509\n69844 81302\n16472 79631\n50723 50749\n7753 87641\n19963 48328\n4458 53073\n50586 74785\n8192 26865\n34549 83558\n6177 62690\n32926 58351\n16222 22054\n24368 28460\n39856 51303\n17311 39984\n33028 35213\n47372 78727\n4524 6033\n46227 61554\n42042 44176\n61069 93046\n52003 77980\n53210 54265\n19924 50292\n78447 83168\n23055 26767\n25211 63454\n7674 23117\n1959 86409\n20806 76761\n14988 88173\n46719 57131\n51057 64444\n11350 54906\n5977 30349\n37113 51023\n37827 60784\n28176 56545\n48036 57517\n1836 84534\n5297 70393\n60531 74738\n8431 85187\n9598 31571\n6080 19027\n51709 79048\n31080 41563\n9517 69181\n29700 34932\n49294 59226\n35235 39087\n42009 47917\n15822 92358\n772 9873\n59410 75842\n7588 16979\n362 46497\n20040 66039\n15446 70688\n51615 93071\n8950 14444\n20757 32849\n24460 51327\n59796 62933\n16700 82819\n29174 85752\n26498 26729\n40357 86436\n40041 41716\n15786 29635\n65330 88773\n83247 88585\n10473 72676\n25036 69820\n6417 87686\n16847 61344\n32979 53837\n53567 59138\n37139 68018\n6972 27275\n14995 27376\n26426 39555\n66495 92633\n28677 72933\n16023 35362\n32273 76006\n30902 57381\n693 17500\n39953 73375\n54423 62419\n26193 62959\n44197 53387\n39558 73593\n13769 30950\n14007 57992\n37131 75555\n20427 77227\n73388 78441\n36694 43990\n66245 82974\n27332 91062\n35492 43855\n1956 39078\n6661 88828\n18884 38342\n33333 38527\n4176 78012\n57489 70855\n4668 9138\n40716 82184\n36752 92020\n38255 60515\n46631 47945\n7146 89695\n58513 58780\n88283 90479\n2572 25506\n21689 71887\n15506 29679\n48431 61130\n21266 64122\n75693 86299\n27211 47789\n44690 70958\n26566 27186\n61948 71246\n37853 67999\n25169 80405\n29620 82361\n19203 78502\n36212 60031\n11129 46510\n63100 81118\n45874 82289\n21744 71318\n39235 50134\n22806 76485\n34916 55264\n43260 66803\n82767 89258\n1536 57186\n20300 22837\n48312 55799\n30695 47188\n63969 90409\n32154 51933\n6983 27082\n37019 71888\n80443 87330\n40577 71022\n2063 92515\n21729 27510\n23793 44854\n15281 78920\n2729 27813\n7429 13264\n3841 78314\n79486 91326\n40973 53755\n25527 75004\n7312 90315\n10590 83345\n55767 81606\n36844 63156\n7266 45252\n52240 55497\n8352 67175\n49434 52537\n57 64589\n13135 15981\n17766 27412\n55309 58319\n16996 74720\n13227 50372\n6204 89731\n13700 15684\n25305 50544\n20689 32040\n21565 27365\n7000 80710\n22469 34043\n34426 68352\n19240 88781\n12177 41893\n3768 43515\n70990 88835\n17327 51247\n29345 69825\n7470 49840\n46915 73697\n4454 34776\n18891 62485\n56126 72620\n56702 72599\n38154 84580\n4285 34064\n3107 38296\n12860 54177\n5865 22731\n65630 90137\n73642 89481\n27220 73515\n36502 82639\n25932 84480\n63628 85523\n5634 71491\n39969 70565\n53396 77263\n19844 91233\n18674 61826\n17405 78120\n21630 89356\n54478 74545\n24647 43321\n45282 73983\n39405 84741\n20432 53133\n51848 78953\n85740 86903\n51894 56119\n5161 15392\n49310 50624\n48700 65216\n47315 71622\n39368 58356\n33872 39032\n44491 71336\n3258 42295\n76307 92299\n22032 89901\n32454 90535\n32207 80031\n30153 44453\n41920 62971\n28109 83297\n2275 16044\n3918 67588\n75899 76314\n4126 74776\n5334 51305\n37356 42713\n51329 83971\n58651 62937\n67191 81239\n37588 73610\n36316 42583\n39545 87167\n78057 79626\n12202 82039\n66343 77808\n11189 11651\n75291 78482\n58637 62707\n17108 55300\n29013 48692\n69138 88170\n56682 64993\n17018 60017\n58745 66670\n21833 92374\n17872 58270\n22983 44280\n33697 57918\n3357 92371\n53288 74552\n737 37980\n15185 30508\n36714 43116\n62476 80443\n23567 59118\n66497 68992\n36971 48023\n17709 33996\n6090 52913\n53285 88739\n28289 71479\n58412 66055\n34756 46373\n54687 64240\n26788 39778\n2211 4886\n71095 83301\n32077 74457\n38747 56745\n10565 50325\n63163 70337\n13527 61189\n37213 75702\n61502 89263\n23685 37758\n40304 55605\n5496 71802\n21357 81299\n4145 73835\n73309 80040\n33595 84128\n12250 40241\n47521 55185\n3774 12611\n67159 89284\n26613 31314\n77319 82122\n31571 70179\n32606 48456\n496 44903\n11515 61543\n65794 76739\n52459 69449\n62156 91754\n21349 25285\n72554 77349\n21848 51559\n20895 64640\n55876 84826\n35848 72269\n9625 16260\n4460 47181\n26192 53226\n923 49065\n24562 59689\n59762 87764\n18351 67322\n14361 57209\n6120 73459\n42049 71272\n61018 61357\n41190 73151\n11187 62231\n15085 64971\n21802 70092\n62608 70389\n35401 43724\n11884 39270\n29856 64193\n69244 74157\n23396 92542\n25510 39896\n5091 53500\n16670 61787\n2782 4914\n29821 49863\n60674 64550\n30913 84393\n58776 67658\n18730 50743\n21356 38951\n74416 80133\n13010 24345\n34229 88150\n5766 60605\n17770 72808\n7620 22540\n21721 60987\n14131 65675\n5045 75580\n27980 63201\n42245 65792\n32270 75049\n55773 71129\n81447 81961\n8616 54292\n40108 48434\n3054 50414\n54133 81293\n13888 29342\n11178 30684\n32396 75649\n30529 92152\n10445 36322\n58851 67776\n2380 45591\n44005 87086\n26604 43819\n12641 45879\n1291 37191\n25086 83503\n6557 28954\n73532 93020\n22285 40093\n64258 75079\n23471 66930\n63342 85283\n6028 22532\n35525 82649\n74030 87292\n78352 81843\n53812 82581\n60256 84068\n8828 54459\n26948 74169\n20488 46897\n30478 51232\n34208 49566\n16281 66249\n46485 69434\n9223 86769\n56787 82163\n606 83917\n49421 92082\n27109 60078\n9226 28597\n34674 80505\n43371 65708\n36862 54831\n43199 44174\n87286 90171\n3093 19875\n51541 53479\n636 3203\n1010 35113\n49911 72904\n7312 19820\n22010 53836\n12005 21135\n44435 66046\n12240 18775\n33997 81374\n71844 77899\n31280 59828\n38005 85311\n17093 84404\n50885 72000\n49899 72443\n11306 13471\n27638 60109\n43218 78933\n919 33228\n22547 84470\n4252 30736\n69587 91893\n21496 51887\n9107 14726\n63138 75193\n43134 52015\n69950 83224\n41655 77167\n7613 56656\n6637 45337\n44141 47988\n17401 46040\n48322 50221\n17362 73993\n39181 69224\n13733 53584\n118 57275\n44729 61943\n13702 67537\n30635 69525\n1395 15290\n37855 47173\n20942 51448\n17082 23161\n60227 74580\n54886 88006\n17253 71209\n13673 58991\n75444 85221\n82474 87788\n28533 49055\n38210 80433\n45020 67602\n52720 89031\n26511 47524\n4033 29295\n43613 89272\n37986 76123\n6961 37425\n9421 62433\n30325 56677\n7398 32776\n41415 90720\n12215 56716\n47878 51106\n1051 38230\n25624 78369\n27518 38533\n4524 12089\n14240 44367\n62229 70536\n44520 61554\n48637 62519\n42468 62649\n53056 84596\n30924 35904\n14041 41532\n71191 91402\n7153 47879\n7525 73998\n19148 63239\n73106 88407\n64658 86320\n1595 7465\n43735 87901\n17349 53149\n32411 69278\n31908 72500\n60755 71104\n30744 31372\n43470 55403\n5328 6086\n21280 60181\n69912 79567\n7988 61307\n26602 80129\n51347 52827\n15550 77912\n717 16780\n13335 28876\n33178 40476\n5355 74599\n11201 22430\n4700 16023\n5979 84070\n61589 90797\n4863 54353\n61463 61828\n2909 75411\n72051 93023\n85832 87521\n10389 41894\n13301 60188\n69522 89344\n58440 75421\n6905 24549\n40559 92633\n25596 60252\n2024 70994\n9618 43191\n23115 47215\n9095 73444\n53904 84631\n11637 90694\n50421 53589\n20917 30817\n24184 81888\n68058 75267\n76389 83380\n74078 84460\n9130 74206\n52280 90718\n28826 79809\n46672 75712\n81839 85350\n8808 41847\n10558 13750\n3678 84966\n46386 60054\n38014 49136\n31879 76103\n39296 88222\n16077 72563\n44676 78094\n66128 79291\n13268 48923\n2443 18293\n50973 90823\n37945 58097\n20581 48913\n11760 89676\n20828 45371\n22665 35716\n3924 8903\n37255 53740\n38370 62912\n15529 54054\n29596 50882\n6846 42118\n33701 55395\n57239 86450\n8587 72689\n28447 37426\n5064 43707\n9386 59883\n32904 93009\n48406 74962\n22584 90299\n49009 56932\n75375 90438\n33168 54431\n11913 32371\n27829 38054\n63446 72979\n19615 46291\n4265 4964\n30657 44200\n45651 51194\n40899 80701\n29038 85328\n13217 39800\n4542 85754\n24923 46131\n24154 88894\n39506 75211\n29831 39898\n24202 61570\n20424 85749\n37540 79954\n14571 81727\n49676 89340\n25376 53443\n16597 50772\n6525 59915\n4376 53196\n16227 87475\n69215 74974\n5994 72637\n9200 68884\n49330 61912\n15477 54127\n9677 64387\n22681 27982\n37268 77323\n991 35663\n4655 49377\n40369 65011\n12339 75621\n80610 82728\n5738 21668\n37688 80159\n12707 68281\n37488 45939\n39492 54732\n36133 45350\n7644 88745\n48529 57137\n20891 54939\n30822 74116\n79278 91980\n40777 83860\n20389 91034\n16030 45193\n3087 51841\n21392 38397\n39486 41159\n40174 79032\n21150 23155\n59315 75029\n50750 69794\n45132 62341\n39728 83605\n52917 59208\n14105 39184\n12258 66632\n8513 26233\n4538 89626\n3214 32972\n34315 84932\n14222 50211\n31910 37605\n17798 55223\n8248 77229\n44925 67987\n6718 91752\n37048 80275\n64757 67451\n9461 58877\n3407 34222\n37911 46492\n3181 25953\n10305 12913\n24817 56421\n13086 79375\n23406 45207\n80607 87053\n231 80910\n48272 89237\n13482 81721\n11549 66637\n10441 57224\n19877 76033\n11185 15856\n21234 36007\n56688 64115\n3161 67431\n28336 30119\n13037 55415\n23182 67829\n25610 58246\n10627 23843\n49639 60376\n28358 31935\n19064 40707\n73479 90031\n43265 62503\n69926 73721\n77783 91645\n79686 91650\n8796 46812\n2736 50195\n20141 29855\n2837 53300\n51132 56940\n3467 70077\n9566 16373\n23377 29983\n7268 19297\n26861 41040\n52648 73158\n40469 76306\n24794 84897\n12409 43921\n30933 78760\n13222 83390\n22278 32387\n2708 85865\n13748 85385\n47928 87224\n32059 74805\n43311 46823\n27028 46443\n65039 78915\n25956 60477\n20346 58889\n52103 52764\n9129 23359\n38465 47595\n49941 74011\n25178 30901\n6509 23561\n61449 77130\n24917 46099\n35754 74968\n9105 11465\n51807 65978\n66994 83503\n15740 21010\n11883 82916\n83936 91956\n22992 62111\n56799 83075\n62305 91132\n4951 6512\n304 8804\n16659 18761\n78381 83275\n40139 70593\n26932 72043\n62249 84567\n28458 54860\n12624 20413\n48786 65783\n32338 61641\n19484 45156\n27678 69408\n3164 37865\n22232 79060\n13065 64100\n5729 75554\n2189 30284\n6897 67126\n15097 84561\n14625 78491\n75006 90417\n6312 27845\n63318 68598\n1249 52476\n27487 56606\n9364 55053\n42500 62582\n16218 53255\n11877 20141\n26228 89857\n37430 52788\n11426 54657\n36282 79431\n38591 92380\n3830 6932\n3429 59468\n4398 83453\n9614 71271\n27475 45356\n52000 55786\n38220 71476\n31674 72478\n10778 90219\n14397 89998\n31593 70842\n19319 32658\n35220 46559\n10344 54313\n1216 57587\n17728 85310\n19199 61171\n31757 39848\n37961 81555\n21612 55473\n951 58740\n69165 76597\n6533 67897\n31592 80203\n1514 2819\n41154 76615\n9477 81553\n30601 40571\n1195 80255\n17811 84496\n10987 42830\n18646 47950\n25675 26429\n65622 71927\n30459 53718\n48013 48740\n3117 28884\n2942 8047\n38251 71425\n20187 32935\n57497 89448\n56911 75145\n3789 92906\n21205 90090\n27876 92309\n17656 92969\n43731 46036\n19959 44135\n18599 24998\n33380 92265\n5331 30797\n25307 34862\n49157 67565\n45343 47832\n4669 64886\n28261 69725\n19265 58031\n41550 50096\n16565 47370\n73078 77173\n30320 90860\n62993 83113\n47559 68067\n21063 84252\n34243 38370\n36509 46883\n47305 75735\n52666 72523\n37517 56814\n809 1251\n18313 76272\n74027 88178\n10708 44110\n64775 75117\n17157 81774\n74731 83951\n38799 84959\n22676 43218\n15018 75347\n61 45390\n17366 92695\n31121 80810\n62826 76098\n16159 27808\n43967 53471\n8227 64159\n33025 71283\n9684 27542\n8892 54118\n90048 92902\n3660 20971\n19357 63133\n11333 83188\n2466 5581\n51751 58551\n59121 90935\n34109 46876\n51422 73181\n25966 31383\n3972 91949\n35759 73770\n2248 13877\n60766 62461\n39311 63163\n17648 88568\n53093 57353\n64894 65977\n70326 75727\n7178 68014\n17140 22030\n27265 33889\n39465 50348\n42975 60416\n11182 28838\n12581 75407\n72689 80855\n23317 74407\n51583 91852\n31184 48701\n8902 64831\n14400 42714\n57413 82788\n25848 79364\n68517 75768\n61415 67755\n38937 70135\n19630 79801\n45728 47946\n25586 34588\n13783 15938\n55604 92941\n55308 83442\n50758 86081\n44300 52522\n79297 88353\n2331 11415\n45309 60750\n83773 88806\n20393 77160\n42865 59010\n2772 15097\n45483 70189\n57816 81896\n6710 86229\n2153 73970\n45076 61938\n42970 61436\n41329 68404\n42253 51273\n26739 39569\n23565 71082\n36407 65210\n28961 46176\n85174 86281\n45385 53324\n10033 65767\n56117 92609\n5067 70478\n59384 73864\n83006 88075\n18162 58393\n6959 14990\n644 45228\n4028 51973\n28791 79363\n36898 43266\n25815 61522\n14357 89658\n11142 50909\n57502 65724\n75860 92017\n45919 81836\n1822 82173\n26737 88043\n42771 75872\n17608 67142\n25217 88934\n16172 68862\n21739 53980\n24469 50879\n13922 66212\n40475 44286\n22654 35627\n32392 64323\n43876 92895\n41852 68854\n24627 59704\n60282 80175\n37407 52615\n31882 40434\n19592 44267\n21761 25596\n3554 52858\n48086 59308\n1222 67915\n15939 48970\n48320 69615\n12846 50780\n59927 61391\n62389 88788\n12219 62833\n45871 81826\n9776 52575\n8849 60665\n40423 52360\n13669 32325\n27615 67220\n16029 88761\n44459 66529\n45126 80630\n10220 71869\n11587 61423\n3727 43434\n60966 83239\n19803 33467\n60223 66275\n23241 47350\n28191 28513\n2688 78219\n8798 73513\n19106 66488\n21184 86403\n47510 73153\n14118 56218\n53200 82524\n15554 29609\n12947 52160\n48786 89216\n2036 62515\n34002 73658\n15599 61941\n39085 90072\n37464 86209\n25838 47462\n19512 69172\n59120 92499\n42598 75575\n57664 60865\n52820 64085\n48559 62676\n13457 13542\n36554 41603\n39893 69528\n12263 28690\n83837 90690\n2074 28843\n44729 89624\n56636 63163\n25320 91072\n17033 41459\n29598 35516\n45562 75515\n19344 91121\n81142 90969\n39307 66923\n42971 83898\n67840 82075\n25849 86783\n66053 72110\n26785 78483\n7803 42110\n85251 90626\n30210 87610\n73466 74316\n68322 77149\n7948 8313\n10153 51605\n7354 49192\n23030 63597\n45752 55602\n19672 91415\n68592 79800\n64675 81882\n42694 44997\n2091 90884\n68002 77805\n13549 62475\n31215 35171\n23228 29830\n16055 27080\n29516 58870\n54071 78607\n1721 54909\n52867 69570\n19666 33454\n27598 77840\n10360 55579\n60761 67929\n36927 62409\n4615 58367\n30963 59369\n315 6502\n57256 72410\n43970 76139\n62390 71392\n45449 49666\n469 75624\n34471 45807\n16069 26494\n23140 37422\n7555 86407\n10183 79383\n2249 85703\n28426 39448\n21067 21169\n2920 59318\n32836 76340\n37573 60593\n3944 90026\n59303 61857\n36951 54839\n34820 35121\n38991 57784\n20199 37454\n22304 64430\n26272 40773\n60485 92462\n48757 72280\n59058 61716\n12341 33110\n29508 80896\n43829 78773\n17051 31309\n39540 62223\n12337 24903\n17262 86907\n46680 71135\n1576 42473\n24280 28190\n29689 55479\n57640 75042\n19645 78629\n42519 71617\n7604 34861\n29011 60466\n5736 24854\n29819 44428\n45766 87694\n20124 37754\n18165 45997\n11493 45105\n53760 63145\n53746 77016\n7761 19542\n29912 57641\n30090 33557\n30094 73916\n4765 10482\n48430 78992\n7292 48611\n39938 82245\n47347 49370\n57755 86399\n66507 78274\n28833 38094\n8008 90341\n7259 79720\n32038 72097\n78349 83410\n14396 36186\n10784 73787\n63611 75745\n600 6002\n47344 62777\n12228 61072\n52960 82187\n5803 60266\n22605 72039\n3417 5215\n9991 15558\n25172 73308\n32011 92038\n25242 62200\n29157 57102\n33597 55102\n53955 56790\n19167 27034\n70821 84989\n45788 92186\n40946 65738\n43031 91773\n59414 82949\n27124 80145\n27224 59085\n20279 40590\n25386 52215\n40510 65419\n14162 17860\n55284 67957\n38286 46392\n84666 88051\n10637 93161\n38683 79403\n39358 88653\n49569 74157\n10081 27329\n9672 37768\n21587 24923\n6237 8907\n20299 67327\n18101 62461\n36283 59210\n18007 47371\n47287 59568\n37880 54941\n33517 68039\n27219 60337\n43201 43263\n8897 75421\n76040 90075\n5296 46590\n25458 32651\n42268 75343\n8811 44276\n26026 37796\n10145 50114\n15200 26126\n21380 45769\n42102 67972\n11856 89631\n49952 87278\n9901 83095\n25856 81424\n52849 62423\n12994 26851\n63837 78642\n61725 77512\n55078 60824\n20658 56669\n59876 60173\n7296 20170\n1943 67679\n47522 87161\n47002 50667\n54075 66231\n7426 39756\n5234 13186\n65586 70930\n48611 49540\n11565 76144\n37526 48668\n16738 30882\n52766 85088\n20124 56140\n62095 89977\n16989 85332\n9547 76934\n415 55097\n40562 56661\n77133 77648\n17518 58279\n20290 73954\n4941 64046\n7453 52417\n30662 83996\n18973 28523\n29230 57614\n40546 56339\n35221 42087\n7109 73313\n18731 54391\n35060 36346\n31080 46448\n54362 89634\n13432 62840\n7543 21499\n47422 58461\n10395 14633\n23985 87198\n3696 15743\n45176 63661\n17870 70172\n6429 63406\n7875 43427\n41301 55366\n6946 71690\n30320 58243\n329 16953\n66565 80240\n11026 69667\n455 92712\n44467 66542\n24141 39752\n1641 35085\n14903 75229\n58782 61745\n27008 89236\n4596 70667\n42918 70945\n39709 51582\n18310 31685\n27583 47419\n10012 25842\n9669 55721\n22782 59973\n52229 75473\n18235 65489\n31890 92080\n54497 81154\n6713 47795\n7443 54946\n27063 55996\n12461 50211\n14482 63068\n83570 88735\n75236 90914\n49280 71333\n76402 77467\n43559 90984\n2387 22853\n29783 76739\n22830 50050\n18550 35414\n59678 64155\n50009 54114\n29223 39979\n73468 92448\n41332 50476\n63256 64892\n52434 85035\n34537 38072\n44366 80088\n57353 87578\n1882 13453\n28171 41861\n10409 64022\n24222 44537\n70824 72890\n11370 71346\n6943 48354\n63140 80775\n42293 44468\n46353 91558\n48967 90628\n26467 59382\n58447 91046\n29407 71463\n10299 36766\n18863 57704\n3081 9213\n25031 37102\n58209 63341\n46467 50932\n17077 88719\n80146 86003\n36485 68547\n31924 74693\n23013 56654\n1376 62498\n32804 69683\n66440 89941\n25470 26091\n11932 62216\n32697 84275\n56984 93050\n56614 85709\n10126 29842\n51316 77583\n27955 73692\n4149 60036\n72490 75323\n38696 90596\n36203 53150\n7194 45913\n79487 90698\n7939 30555\n86032 92512\n45742 75309\n28449 89297\n13177 54607\n24066 46536\n20512 67332\n35378 90560\n58219 65472\n32619 78640\n15257 50940\n9034 15952\n29736 91991\n1921 35524\n71819 79917\n293 12239\n34155 47292\n17715 89008\n64092 64768\n11335 69145\n35630 62006\n26523 73508\n30265 78772\n78632 80083\n1934 57515\n61487 69419\n18303 66506\n74599 78993\n28546 78469\n3864 80148\n19786 32408\n35679 79911\n19348 86454\n56727 58071\n77037 88549\n37351 77051\n27810 64589\n32194 82727\n24918 29258\n26128 61547\n65282 66839\n4332 83012\n11127 84430\n59329 68181\n70158 78649\n28875 89832\n1566 13324\n76077 87779\n40801 73356\n12031 23035\n26740 32315\n31206 57621\n35933 77745\n12538 34874\n53934 82109\n24680 60205\n22529 61746\n6319 57976\n26413 69741\n55602 84893\n67017 71659\n22158 25998\n10203 20239\n4481 66423\n12750 63161\n30673 78780\n43929 56349\n75838 84640\n56979 73514\n22862 41903\n4787 54056\n27706 41171\n57155 61881\n17228 56552\n35512 76310\n80220 83460\n40383 44693\n31698 33138\n8120 68408\n38261 43888\n65941 83093\n47313 83010\n2514 7051\n5931 29408\n14171 79082\n9831 84116\n41551 89572\n60868 67927\n23294 45175\n57050 74978\n48798 58159\n12864 31224\n80635 86063\n36034 75025\n20703 85468\n9308 20268\n20525 63742\n12498 48242\n55414 75834\n56406 65187\n41644 86646\n65537 71227\n68383 80533\n37867 58590\n52856 54594\n6283 79177\n25271 58401\n20794 75348\n41266 93113\n58859 86096\n4943 28111\n38771 56743\n21268 54425\n54462 66466\n15507 57140\n3384 51548\n19894 93101\n31647 31781\n1488 5576\n32929 50423\n36688 38897\n3609 44371\n18586 53108\n31918 69924\n64942 87736\n24447 64462\n53875 89063\n61103 82482\n42975 90589\n26273 32441\n28380 38273\n13437 40637\n4894 85250\n5049 56906\n78904 90426\n23798 31058\n6386 6974\n20443 56379\n23648 44782\n55425 92261\n13823 66963\n43400 84605\n19278 39823\n11151 91280\n24161 82576\n68217 90360\n74768 93087\n29724 53067\n5475 15626\n85172 88514\n83558 83780\n49341 70739\n29974 89486\n8818 68906\n37547 42113\n44204 56473\n6528 85929\n34717 71263\n30712 49003\n82368 87499\n68211 78435\n66556 76641\n17623 66285\n14079 17046\n719 81514\n7763 17935\n44992 81702\n29309 67093\n43038 65432\n26877 40331\n49998 79223\n40344 52106\n51744 85850\n15661 72068\n41981 87378\n2105 66938\n17309 19529\n15528 70591\n36440 48986\n50542 65903\n52275 92418\n14315 46594\n61852 66639\n19596 31886\n22451 87265\n12770 88786\n49478 61888\n17666 36937\n18085 66012\n10329 37035\n56864 87043\n61724 77716\n78192 92642\n25764 89820\n15125 26771\n30052 52578\n19864 82241\n49183 91153\n63865 73968\n15153 91462\n77226 86261\n27660 90218\n4392 49925\n739 51946\n29654 58787\n89272 91103\n41237 90563\n6716 46238\n31462 32154\n12374 25379\n21486 87845\n49186 76576\n19411 73670\n12945 34745\n6358 91504\n20273 46095\n1808 63110\n27285 38290\n37689 58450\n1484 69612\n11394 71665\n33173 45955\n42792 54725\n34073 45439\n38745 61909\n38352 49369\n82447 87490\n5707 29030\n32595 41848\n11425 71334\n22466 30500\n48107 63252\n1724 30142\n71271 74948\n35707 62271\n38923 62141\n86066 88065\n7994 42779\n40775 49311\n66058 66487\n7350 37504\n25543 31430\n65527 91603\n33884 40970\n35982 78385\n51820 89820\n54470 83949\n41072 41248\n52775 76882\n51848 93028\n88183 90390\n20980 39096\n21042 74727\n11270 49658\n20576 42841\n1072 30903\n12806 62456\n55186 68154\n45242 81493\n52019 84123\n26336 26867\n16850 29159\n507 54370\n30064 68080\n52196 74708\n24845 66182\n38865 77136\n4419 12319\n25547 34799\n18518 25941\n39326 91754\n9646 71702\n56122 65212\n30002 32623\n1632 79720\n2185 86306\n30287 44213\n9617 47379\n61823 92147\n61062 72778\n57995 86318\n50253 72690\n19402 40402\n12603 17110\n26313 84908\n58638 84964\n79703 89088\n324 65884\n17089 42673\n46022 78324\n84983 92676\n69477 86381\n27119 74490\n53930 75243\n71698 92353\n26910 79236\n11171 28587\n71757 83195\n47422 85967\n13984 86005\n29606 39977\n83216 91118\n2486 18552\n31363 73771\n19176 49872\n5295 63148\n31145 88043\n1042 12227\n44889 46460\n23127 29406\n19845 22593\n50772 66655\n22002 45035\n50170 66032\n38475 66820\n1944 74399\n61988 70610\n43838 48088\n14262 22928\n24533 84372\n35708 45879\n4190 83632\n23428 39072\n28086 63249\n20086 55850\n17175 67514\n3328 21226\n46194 86503\n17937 33583\n27043 36575\n41433 75648\n56847 76460\n32073 56482\n15742 87384\n13683 63217\n22423 49033\n26084 53367\n45324 52082\n78590 86079\n31164 47435\n2971 78540\n38337 61351\n25404 71581\n51691 76501\n31124 45790\n21671 60836\n39869 78088\n82435 92344\n7521 15875\n46666 57213\n31136 76586\n77887 88471\n13059 56294\n44755 61458\n12983 48687\n34555 75688\n28649 57158\n48231 77654\n10138 46397\n25140 70107\n2355 45911\n59496 70976\n25953 32549\n852 87413\n56273 91408\n40317 48496\n62445 83080\n2946 31966\n17785 69087\n71420 73357\n48530 54676\n9720 21346\n77172 79050\n44317 58407\n38094 88969\n1811 79523\n64312 78956\n8155 64533\n23331 31968\n6431 75756\n47032 68498\n4748 22583\n13346 53740\n67468 76390\n2575 69883\n80047 83754\n20640 79557\n30493 66936\n36861 83820\n46869 90390\n8602 71320\n1185 13403\n10230 22181\n78387 92579\n10467 71793\n12808 76768\n41207 85850\n14597 26713\n41043 79116\n47968 73378\n66666 82103\n19312 63271\n25038 62260\n21018 32585\n555 49101\n47995 69741\n800 80215\n7666 44952\n9486 89625\n6052 25730\n54605 58142\n17840 45723\n7595 59261\n1231 39313\n35170 56141\n2905 56867\n52176 62394\n9336 47517\n64500 84214\n59005 83663\n16125 35922\n5228 21256\n3686 93010\n46005 89185\n48596 54733\n65353 76600\n35494 73463\n4082 37794\n4930 29629\n53096 78426\n71629 92181\n50510 83065\n71221 76927\n8351 85933\n39056 55053\n7244 25817\n75977 92517\n6763 91976\n21675 56678\n65234 77040\n4361 92904\n26498 48648\n8407 42914\n19836 43295\n19501 70742\n58327 76328\n33229 44947\n6555 68048\n60246 87978\n3744 88568\n12575 88730\n50022 64785\n43049 46648\n32426 82036\n20261 30702\n7505 41348\n15493 71829\n27487 57650\n9010 47662\n8040 87009\n23928 33857\n46489 90135\n22646 65376\n13357 89687\n27792 38558\n24719 56706\n20185 82947\n86467 91404\n51524 79987\n9526 45085\n24944 86797\n55296 84933\n73220 84950\n34029 35431\n49902 54238\n58776 80780\n32692 78240\n26544 76093\n935 89510\n31544 67181\n20739 82878\n34174 70807\n72620 77485\n43412 64712\n2750 28011\n39983 80436\n32031 50736\n3819 80977\n30957 58478\n13994 35042\n34588 81671\n26174 74298\n5460 68901\n47102 73976\n2600 87164\n7418 31835\n16024 66207\n6393 13813\n28180 31811\n31629 71994\n38710 72660\n2002 53042\n4658 34019\n10240 71758\n11771 70849\n78377 83643\n14338 40935\n36961 92310\n1885 54391\n62422 62769\n496 40466\n5294 60496\n53870 79774\n4801 86771\n31739 60001\n61577 79431\n57822 78143\n5170 90195\n48285 76235\n22627 56836\n36252 47947\n40152 86923\n22191 65239\n36079 79455\n10989 49667\n26796 64876\n22274 24694\n22277 55552\n31204 77663\n31156 35424\n61166 73022\n49547 89271\n48283 88714\n51179 58018\n1929 42126\n4385 70971\n36602 86097\n13674 72222\n11745 14893\n18648 52736\n15684 54496\n42995 89296\n3044 13385\n9774 46091\n31630 86112\n29931 69289\n30493 52819\n35755 78611\n19409 80880\n10811 20894\n21342 38444\n4892 16178\n34546 40702\n17700 52418\n2765 88065\n46474 73054\n12345 65833\n60463 90812\n36124 84917\n65429 88641\n38076 54215\n40486 72735\n57132 85413\n12993 64200\n2598 61417\n54424 82373\n14574 62339\n4679 20842\n84467 89694\n16627 88742\n34686 81064\n51642 84840\n41097 48159\n87185 87229\n30073 33997\n18681 49149\n46887 63949\n40908 86498\n11796 61327\n64764 85237\n46944 89436\n39642 78612\n16813 28085\n7700 54468\n5441 67033\n13642 70039\n62938 82279\n10604 75167\n35529 76917\n19932 87565\n19911 64236\n21060 78447\n4407 32219\n22379 50737\n38700 84365\n11267 66555\n70476 75465\n6351 65623\n72155 91670\n15314 86218\n75028 85173\n57356 75244\n19066 72721\n3371 37501\n21836 87309\n61330 90698\n17544 92020\n55695 61236\n24735 44226\n13563 66988\n56053 81810\n11557 51434\n38357 64948\n55601 83251\n8640 18905\n36558 87482\n40368 71254\n5911 18350\n8438 10590\n67933 72356\n30422 57447\n12152 21071\n69455 70144\n5931 25808\n71585 89152\n47199 91245\n12624 58500\n46019 47213\n1423 3041\n41204 48789\n81596 93032\n5552 26399\n68265 86264\n4296 58013\n24659 55237\n35989 91039\n1024 91590\n8404 17582\n70676 91810\n19794 46238\n23283 33047\n16483 70094\n7121 88747\n47063 57954\n28413 51760\n81082 84040\n47507 73623\n37090 88334\n10424 65400\n5242 76261\n7920 61818\n38541 49843\n31256 69237\n11911 28029\n15264 15643\n43842 77322\n30904 87410\n7340 66485\n32612 69504\n11024 25869\n13417 38739\n35827 81585\n25440 32442\n53698 84299\n5144 32583\n42045 92492\n67902 79082\n14745 16787\n64534 92405\n3000 63551\n50014 62309\n48163 78427\n3165 57445\n36464 45690\n44800 57653\n38399 69862\n17029 37474\n31759 51633\n5385 47008\n40005 81459\n36551 51802\n13628 21743\n13555 35431\n50778 60814\n21945 23309\n36316 91106\n30443 54541\n36636 53069\n10026 68361\n44413 58983\n1948 22812\n79121 85730\n22434 80745\n6224 68155\n57722 69182\n4047 70150\n6716 18484\n60776 61583\n13792 67352\n52733 88611\n39791 46315\n31445 49494\n23999 25070\n7330 12628\n6423 66540\n1960 37701\n39089 53510\n17768 34439\n7255 65131\n527 63235\n48181 54678\n12036 39421\n80567 87414\n749 11456\n3751 79985\n14155 84219\n11257 42362\n9012 33739\n42888 78241\n9321 41485\n5495 78115\n18396 41577\n3751 6286\n9834 72354\n53907 54107\n29803 65244\n18723 79102\n67895 74300\n27875 57506\n52491 75419\n20175 63689\n49085 86054\n88994 92963\n1997 91635\n56439 58392\n70255 91020\n12957 60703\n13935 57417\n71054 78819\n58579 89758\n30529 64242\n1918 2303\n74669 81112\n32775 47326\n74924 88089\n28016 57776\n20831 20931\n18569 62053\n25538 84777\n35350 52426\n87097 92181\n10826 44996\n35605 90496\n63610 74617\n26923 34054\n33305 74503\n82864 85688\n21043 84087\n43271 77291\n41745 70771\n15977 84406\n50753 91109\n11156 84070\n84775 88978\n13198 61169\n39085 84617\n33648 47670\n35922 80697\n16413 77956\n19945 57780\n27884 55982\n33884 92368\n8667 40231\n67612 91139\n63379 70558\n50337 74554\n52316 92676\n16479 77847\n40624 83488\n68530 93064\n4105 72801\n54187 92300\n42842 69069\n5117 75264\n64607 87395\n10196 74650\n20424 42186\n20505 53258\n15955 22653\n30299 44208\n18203 79059\n18356 42190\n22192 67325\n67502 90426\n28155 33926\n45183 47821\n26851 92613\n36795 80568\n29323 31313\n29058 66135\n35208 52656\n32806 62165\n47907 72849\n32221 92463\n47060 50378\n21443 58664\n2114 4615\n11762 20180\n30488 65533\n13747 22190\n11439 45562\n1798 7972\n24745 76929\n17313 34901\n41856 74305\n39837 67814\n25399 84426\n12320 89879\n16970 85062\n52905 92192\n11138 89566\n32994 41498\n34448 52610\n7860 51509\n20981 81462\n5993 91339\n9396 58931\n40235 53097\n58333 69063\n30833 88228\n3158 88945\n16046 48542\n56861 80209\n9667 27999\n26415 63361\n86 22697\n3003 33932\n2276 86910\n30937 45783\n19351 48340\n84940 88272\n1776 26021\n16236 80082\n19655 22405\n11199 84835\n18677 36327\n45000 62807\n53482 59822\n19558 65676\n9118 75199\n72036 72071\n6022 68479\n53108 62811\n14689 25616\n25685 76758\n45136 50360\n1953 52799\n63606 64372\n21015 57350\n42328 44426\n57967 86027\n67705 82799\n22944 89064\n13386 14026\n55174 70599\n51298 87413\n24089 44361\n72164 86980\n43476 77754\n9813 62805\n46992 60346\n52713 71866\n13637 85403\n73293 83335\n15219 30269\n30287 46720\n22192 45108\n69468 71098\n13794 57332\n49775 55568\n55098 67566\n60092 64238\n20248 58721\n65780 81331\n9755 92455\n33376 89044\n59259 86274\n16170 35274\n68532 86297\n27971 85415\n45231 53878\n33645 42841\n16085 24755\n74957 89488\n37750 43260\n50262 92488\n13075 36753\n2070 29740\n25100 46055\n59039 72413\n14866 44384\n32343 34825\n3230 48690\n8403 40032\n41205 91122\n27318 87628\n74374 85584\n22327 29801\n73786 92687\n32885 73866\n3299 77650\n84522 86804\n35004 54104\n21475 30708\n29632 79146\n22907 49958\n14975 43716\n6155 47350\n8281 74311\n17969 78996\n14944 43513\n16421 18224\n41726 50310\n13991 23305\n47758 56455\n260 43490\n28178 47327\n33497 66961\n6247 32043\n61327 65384\n50288 91762\n28431 87715\n24164 80269\n27423 33043\n40101 59996\n40805 91502\n19475 69738\n20463 80744\n26207 81236\n79739 81951\n27731 69144\n66347 85009\n49169 83697\n20375 66263\n76364 81615\n47400 54190\n2139 47084\n36049 43977\n7205 12214\n9601 74101\n27145 60705\n22688 71393\n737 55780\n66834 81379\n2350 53067\n54084 74682\n23493 63284\n50289 87485\n21310 74362\n27140 49978\n59000 91926\n64262 77969\n43195 44784\n23258 56932\n55034 83657\n17953 25246\n7508 66765\n72114 73952\n21641 92807\n9394 85964\n39270 82186\n44533 91627\n27869 54643\n57664 57909\n17787 28781\n37926 78574\n48452 50028\n49903 77383\n34834 67810\n3431 25218\n26287 71409\n9368 60097\n21807 52854\n10840 28983\n24606 72367\n45816 91750\n8891 75158\n1352 47864\n67239 79849\n24220 66417\n27493 53234\n23036 51592\n39692 51322\n2427 63696\n35889 39863\n8286 60937\n46006 78428\n36274 64664\n28064 83633\n2077 27456\n56670 72494\n42855 56815\n20869 45770\n13744 72719\n8576 9611\n71782 82553\n57659 60814\n5392 14206\n9828 12421\n13752 46173\n34206 87647\n37864 86137\n75944 93123\n11794 84587\n421 76930\n7471 34432\n31013 85913\n2542 29658\n73299 87598\n23562 89495\n8500 76472\n30973 73980\n626 69952\n71040 76426\n5900 66363\n1358 87559\n24344 25101\n3822 55204\n60671 60755\n6393 54107\n2891 52219\n54348 75036\n14695 61870\n42763 71701\n13324 81954\n6863 91479\n57446 61002\n6979 76439\n9670 77615\n26556 72694\n47746 52007\n46132 81130\n49235 84408\n356 4919\n24446 46097\n51573 60006\n58832 73972\n13744 91147\n36904 73550\n19512 24850\n1451 30448\n67000 78555\n55715 60710\n31252 81313\n19521 30316\n86458 92075\n5337 72141\n14531 66068\n1905 40949\n4959 32518\n8104 36050\n22843 61535\n17904 51558\n1223 83368\n16006 30817\n8814 34299\n19962 80877\n80023 84133\n24943 79271\n9616 29145\n56861 86858\n50722 70242\n29326 33364\n43660 77409\n27012 61120\n19602 33704\n61009 83598\n12889 61802\n59424 68912\n83453 92152\n17651 49908\n55030 77256\n18813 30654\n29494 62749\n34856 89511\n62166 64857\n1352 16481\n28708 66529\n17804 24292\n18366 70332\n23588 30284\n8304 58675\n17942 73647\n46584 49407\n48594 51647\n28610 81592\n51561 62978\n24855 53712\n3578 27566\n1311 54931\n8276 20618\n3231 76841\n33730 51025\n57389 69907\n10471 66176\n28562 87106\n25785 71495\n7676 53568\n76165 91207\n40716 45610\n25073 41220\n45116 63141\n25262 92887\n5745 9014\n30108 64015\n46290 80059\n11159 52913\n3040 7457\n27300 73383\n49837 75358\n53489 91108\n49576 84610\n22815 40982\n8498 86797\n21579 25202\n27727 55411\n11722 85021\n50178 79115\n58115 69033\n83075 86521\n35577 88450\n58421 65124\n38787 56469\n9643 91581\n22757 28231\n60821 66402\n14884 46287\n8439 23998\n69997 73523\n30526 39198\n4999 24383\n26453 44646\n43385 67849\n11188 25628\n15333 44169\n47067 68736\n8247 59604\n49114 54558\n50692 90776\n57468 80976\n12828 60852\n17433 42914\n19077 43183\n11968 39782\n49950 57070\n39144 66615\n68601 79512\n53447 55630\n1330 66930\n61355 79682\n34487 62599\n77259 89230\n2469 36024\n7684 17427\n17597 26160\n5138 31669\n12101 71102\n49825 79327\n19160 87797\n59052 62967\n54371 68628\n36680 62284\n26389 79517\n46900 56386\n82235 92960\n68240 84192\n28787 67390\n44308 78794\n5127 8507\n36711 53764\n20397 22958\n27987 42933\n16497 20180\n58919 66558\n12092 93032\n691 16152\n31822 64575\n1315 40375\n32205 83230\n41062 57911\n84662 86495\n25584 71000\n15265 32917\n78130 84286\n50213 64722\n1113 48916\n5614 16571\n18265 79263\n13479 63825\n17424 74562\n7969 41095\n17437 66521\n41005 84457\n65700 82042\n42513 66292\n4975 8265\n23710 25417\n12723 16313\n67537 87469\n49973 84999\n58575 77572\n57698 72119\n26852 59221\n17258 36867\n62593 81426\n48245 74121\n16294 41080\n34428 38838\n8437 72421\n42625 81651\n5478 81633\n55179 67117\n59922 92823\n894 1587\n8094 55261\n6594 7593\n8882 76330\n64227 85229\n893 87342\n220 59399\n29746 75858\n11148 24131\n21101 55016\n4521 85412\n19835 61240\n52476 89321\n48506 51968\n3574 27412\n58138 78796\n54571 88552\n30279 83539\n29669 70832\n25613 69000\n9429 17605\n706 77251\n74338 90683\n14983 38600\n22885 71725\n54887 80175\n59507 83166\n42700 74499\n16506 90651\n9013 49700\n4919 73357\n46718 86481\n72293 90334\n68131 82009\n54751 78212\n4080 6296\n20287 72745\n41870 44173\n56960 81364\n79724 85898\n37838 75535\n34600 84834\n36624 52947\n40394 66193\n60163 92664\n17485 27974\n40989 87479\n23330 45538\n8897 33465\n24189 54407\n57526 85077\n24215 61074\n8359 43360\n41 75393\n10146 66130\n70072 74500\n25957 88749\n11228 88713\n44286 81937\n69765 71870\n30959 38813\n5078 51291\n21504 77546\n27618 91482\n31358 81715\n5143 75530\n57710 91405\n19160 80343\n5836 73127\n10469 69930\n3283 58549\n10099 76649\n53127 74061\n61328 88036\n73777 83292\n59769 85385\n16316 48667\n21737 91802\n29414 90240\n28111 90324\n43425 57856\n34503 48522\n81929 92078\n71291 77186\n15497 87245\n39787 44598\n67161 85531\n22999 74904\n52436 76364\n24887 50458\n35846 74646\n48687 82197\n19433 49896\n63687 63752\n57874 76483\n75737 88642\n51970 72052\n57727 87121\n39906 63193\n65242 71944\n8868 46362\n74176 74830\n79949 85462\n44912 45434\n32196 73651\n59316 60118\n63093 72339\n41480 72664\n1250 34535\n56854 58057\n39580 65740\n27504 80405\n16355 27899\n52843 64369\n33672 86476\n28046 44390\n20227 30997\n19386 90736\n54931 82726\n25894 57030\n53124 82660\n27123 48168\n11820 30857\n5493 65890\n36422 84569\n66237 79950\n34050 45467\n51381 79219\n8112 41946\n21523 48375\n19555 56736\n42740 60012\n7574 59165\n80008 88788\n10512 73286\n9795 81521\n33200 69649\n11795 79910\n12772 54773\n30534 80739\n24306 70562\n43717 49427\n41510 81320\n80396 90472\n5984 22043\n21075 60778\n17882 70860\n49604 65919\n69839 89731\n13319 63112\n9648 86076\n4643 91529\n27749 80986\n7916 23762\n28185 81575\n48621 79927\n2049 75722\n45465 87145\n28217 62445\n11391 47008\n47650 62402\n63766 81353\n36073 65000\n52721 92304\n11454 43930\n13946 15939\n23083 62033\n59267 87549\n37238 90178\n18930 43259\n59038 66519\n77147 85370\n13968 48239\n10734 38696\n32134 50779\n17543 80754\n12872 60211\n25908 51467\n39001 53435\n20634 20636\n41617 71942\n57091 64857\n58467 73917\n15045 35763\n18295 24181\n14212 86861\n18494 50416\n39918 61873\n48336 59865\n2961 21989\n16865 73858\n51044 87241\n32599 33264\n33893 77651\n23428 24784\n4355 63413\n36608 91410\n378 55234\n5385 51270\n24182 31223\n45978 80384\n8906 86366\n17923 32982\n40430 52642\n41626 64969\n36611 67834\n11629 89842\n1317 45232\n6314 63419\n30087 89266\n39582 70054\n23882 79705\n16444 31649\n59480 72518\n17914 25796\n22198 26761\n2784 47056\n48990 69058\n2338 89808\n31670 40872\n23114 38417\n31554 60065\n23293 84904\n32173 55615\n3438 48238\n15815 61438\n12536 35851\n9320 62568\n9830 66562\n2021 15004\n39632 67252\n7729 52015\n30886 50610\n14057 49486\n3461 52250\n13085 55478\n68153 83491\n52739 62611\n15450 55536\n56278 83614\n27307 46973\n52414 75861\n29345 82578\n23178 76362\n11982 33683\n60730 82497\n543 59422\n32496 42482\n77131 88653\n40814 41289\n19367 37947\n33612 47410\n45637 68852\n37348 56137\n51422 90752\n43679 81372\n2988 91203\n1037 7124\n7546 24160\n1046 33433\n3028 81294\n50840 79105\n14305 86945\n11413 72099\n74564 91328\n8428 69224\n49692 61073\n28895 42296\n6552 85205\n74845 82793\n57839 74067\n40891 52968\n16945 37877\n9448 55022\n46670 59554\n35927 39177\n382 85328\n6992 90330\n13082 62869\n24271 79908\n15449 27268\n22922 42376\n10176 73745\n12968 29119\n63656 67062\n1988 4611\n54706 69889\n39446 50196\n37712 43771\n34343 85362\n24951 74087\n54107 88145\n78902 85544\n15765 83377\n1573 26708\n19005 72924\n16772 20868\n61902 85026\n14902 61613\n72741 84031\n42687 89967\n11938 57054\n14611 50184\n38061 54283\n24874 40614\n42784 44536\n44134 80710\n26726 57942\n20943 86000\n45112 71618\n12849 77408\n52458 72812\n50867 90424\n53917 56545\n11855 43633\n13237 85611\n66047 70322\n44290 54074\n8292 13205\n38187 62096\n36582 72913\n2608 24534\n66177 92142\n51560 54224\n43734 54344\n60039 76858\n20041 41995\n10889 35526\n76568 93057\n38841 50389\n25418 46194\n69371 70553\n58238 61011\n16206 84595\n10473 15123\n68260 85198\n33686 47345\n20288 48744\n25940 59787\n34152 55920\n4753 20709\n34121 62600\n45434 47798\n14534 69182\n4526 17556\n9753 87487\n67304 70118\n18129 48027\n76740 92449\n4860 86348\n22814 46213\n51531 84547\n20503 50338\n16047 18475\n26535 54314\n15572 71609\n62358 64776\n21989 48935\n29972 58660\n55169 87015\n8003 67753\n12035 35733\n18787 61293\n6482 41462\n21277 66264\n74573 79734\n24634 64639\n37453 73282\n30939 38646\n64129 90992\n26067 81836\n573 31736\n1738 15417\n30570 42487\n27215 50836\n66089 71855\n58804 80849\n10736 42949\n26853 65425\n38809 46159\n6452 9499\n10946 88892\n80926 90480\n23186 51934\n4107 22453\n43391 71741\n33820 36391\n72083 74935\n10640 36405\n30041 89075\n39461 54930\n65365 67783\n68870 73327\n61343 87146\n12818 48659\n40192 69133\n57250 85721\n7735 63133\n8026 60648\n16727 74124\n13975 81038\n19780 33648\n13006 53269\n21816 79703\n25157 35331\n36671 79956\n2868 8436\n13821 89618\n14469 76513\n42977 82658\n36825 51882\n28887 46179\n6906 21328\n10587 85148\n11183 92117\n22565 34378\n23692 92003\n83140 84806\n52727 67691\n34898 46419\n6632 43208\n25597 60307\n9015 31936\n26982 55719\n7300 45983\n3317 20446\n32755 45206\n4976 20822\n40748 42353\n34443 50454\n22604 73715\n32075 50890\n57397 58566\n22478 35094\n38158 54484\n1507 87564\n28341 79136\n3652 73647\n63154 77748\n14428 52799\n49987 65610\n17077 39030\n30225 82788\n23058 78828\n65426 81676\n58352 82211\n2460 4400\n74081 87609\n18370 38118\n14888 40347\n52163 84196\n59668 71166\n9424 88535\n50638 77823\n70092 81032\n41420 54269\n34946 63366\n16736 61227\n56 72968\n61903 68292\n21135 90805\n1251 23754\n23393 66696\n68032 77064\n7335 50247\n15058 59005\n33330 58162\n9874 67019\n2276 12872\n24633 80278\n28222 89725\n30508 60594\n26740 82789\n70645 91179\n62181 74954\n6537 39061\n42262 53733\n10476 84285\n25783 80331\n6443 57636\n62789 75560\n60448 79964\n29619 33282\n81609 83161\n45035 84729\n18022 37687\n39395 62158\n36167 77427\n17130 80169\n18861 44511\n787 76013\n49869 86447\n11794 66050\n87615 87929\n25769 32796\n20774 46856\n17006 90748\n44736 62277\n31443 84433\n44216 45726\n27246 46571\n32405 92658\n12190 35609\n5422 32115\n43513 57075\n16923 56324\n8391 58717\n37224 71659\n71653 89303\n70165 84041\n1866 40724\n80464 87206\n11974 36884\n10485 54119\n1124 4081\n68779 91591\n25182 49359\n8178 59819\n35410 91165\n14352 24730\n4524 57700\n19004 45123\n42857 82078\n777 15886\n15597 78819\n71104 89182\n2616 45394\n53705 65588\n41249 82047\n14528 29198\n23727 78190\n229 4091\n40352 64561\n44105 71342\n18383 44924\n12783 83408\n17885 68690\n14812 48099\n35583 75000\n70819 78832\n50282 64148\n28140 35520\n9138 69447\n7595 44590\n21937 69090\n21126 77504\n23887 31011\n67811 68147\n18660 79859\n80278 81248\n19571 37108\n34175 78186\n14421 71036\n20495 71468\n6325 73578\n1684 3826\n43715 56262\n17420 39632\n11682 12945\n52426 69679\n14411 42278\n40704 65740\n26875 73583\n32301 32426\n82296 83982\n40413 92011\n10986 23840\n34912 82607\n49113 69113\n5912 83100\n55461 68002\n36281 38349\n15635 88181\n3398 13164\n34537 35474\n47190 55750\n28911 32303\n57476 77799\n61938 63788\n33033 34722\n41513 84456\n39618 41974\n35557 36068\n78183 87954\n61370 89526\n44469 58988\n6582 50275\n28624 45738\n85026 87823\n46650 78893\n49376 61018\n6959 42220\n40656 48486\n59790 77377\n10108 17778\n47050 79043\n42408 54210\n53900 80044\n78082 87672\n590 85087\n19150 22057\n44678 65558\n20300 71306\n67603 68637\n9443 11885\n14601 24798\n64312 73751\n39912 61530\n42216 81878\n31854 82297\n10952 61999\n33524 53001\n13272 92800\n64082 89147\n38026 76675\n52164 84958\n55786 75619\n52043 64261\n34660 53135\n5263 7569\n31790 70403\n19276 64739\n33887 62488\n61521 76678\n25290 27506\n62248 89544\n22494 49928\n88279 89861\n15967 85296\n21669 84566\n70297 74139\n20557 42707\n49350 72503\n9406 81593\n14430 92563\n10820 24053\n50096 91345\n35991 48136\n47211 49547\n49950 69927\n56275 82275\n28641 85902\n10880 82598\n7276 39435\n13843 50847\n15285 66024\n75553 76481\n14385 47779\n60807 91059\n55686 92962\n3919 4114\n25201 85012\n12435 41405\n35549 46646\n25608 83086\n21950 90524\n53861 58547\n19413 28518\n63741 66594\n34099 88520\n66051 81371\n2662 92239\n12823 49809\n74806 84810\n44556 49591\n10163 71544\n77002 82494\n53708 54340\n30703 81183\n45606 89899\n26290 54457\n22290 59481\n15316 75597\n72783 93116\n74907 91900\n35719 75385\n5317 54770\n79435 91074\n34479 41394\n16763 47115\n33467 49294\n89060 92126\n3560 84578\n82440 92987\n21369 22831\n43675 70250\n23692 24728\n30343 43245\n42188 69138\n22234 80628\n35211 36226\n17252 27417\n24487 65374\n65101 65421\n6967 53423\n54865 59754\n24560 59110\n8870 22712\n9082 23661\n49124 50994\n44015 80997\n36399 63658\n3076 6268\n26740 39563\n29263 48274\n32449 55608\n30740 92723\n3997 90578\n28518 39062\n85007 92016\n49848 70038\n33444 56715\n4917 60006\n8538 85441\n10231 10464\n31984 33449\n57931 82605\n11522 52618\n21687 78598\n1884 42746\n19702 72780\n69465 91339\n42904 56450\n4404 61571\n13309 62876\n62613 88062\n21951 65841\n39846 42868\n65879 70640\n20530 70820\n20486 24180\n62003 78542\n2858 41248\n18513 18900\n60875 62293\n67335 74233\n52431 55762\n12359 17160\n73556 87146\n15993 70544\n41102 69265\n836 57567\n34253 37012\n4504 16130\n9443 56487\n39793 90722\n72395 73209\n41580 92253\n31904 32655\n17382 32142\n10052 69975\n42435 48816\n79483 82991\n24435 30663\n29182 45750\n6742 30489\n39685 56662\n42283 53245\n12269 88912\n1781 7087\n26882 41874\n52350 90784\n5935 61224\n8228 87029\n25206 52732\n51086 56385\n40451 73037\n74977 75513\n77787 91832\n31899 50914\n85932 89013\n45271 80363\n4172 68415\n22922 58596\n20663 41737\n9617 26135\n34580 64561\n78484 82756\n25540 46351\n20764 51804\n961 62548\n31250 77036\n21064 85002\n78367 79478\n6788 14461\n3448 29025\n23123 51026\n54594 74739\n24276 34944\n34267 74602\n26338 32028\n61714 62971\n7880 17908\n45954 86407\n633 9080\n69510 69886\n45167 61248\n52405 74055\n66032 78638\n32448 57345\n75719 86551\n34275 36060\n65166 70316\n32985 76023\n38140 54440\n14127 74747\n73767 79478\n7666 32460\n61617 87114\n15630 29097\n67292 79399\n12598 53353\n67513 68014\n24406 29666\n65944 91892\n73451 90858\n30034 47603\n21991 22942\n40421 86917\n9835 66749\n8947 63067\n23575 46278\n19658 56291\n60125 63460\n16653 80633\n7822 92982\n10747 44524\n6909 23921\n10948 26638\n21123 52343\n6370 53843\n4679 54605\n28593 64316\n34240 60147\n52684 88939\n52448 70952\n28961 90869\n38195 92342\n36633 82337\n16529 52833\n18481 90462\n8479 32442\n37943 62183\n52359 92178\n66131 73600\n13793 88389\n44086 53363\n57022 75060\n108 17282\n36548 55759\n16582 17280\n3565 70655\n31557 61593\n46114 87434\n320 80487\n26 72753\n56557 60784\n80016 86558\n39431 66104\n55220 58549\n38806 70467\n49009 54656\n8662 57445\n12531 74786\n41148 54389\n79307 84972\n13997 40644\n2394 92524\n45228 66107\n15576 23844\n50767 52868\n56464 70616\n33779 50583\n53404 76275\n6543 82482\n26373 62530\n5359 56172\n5350 13211\n42890 51829\n39491 78767\n81985 83501\n69701 73010\n3127 11872\n58816 70287\n8622 17139\n52618 59043\n48627 56401\n23134 44163\n6706 33787\n8814 80773\n70906 88444\n13703 82019\n48938 62688\n31849 57311\n6899 36411\n8278 57506\n10049 89708\n5124 51417\n61955 78325\n7354 57297\n15726 42941\n42656 80814\n10424 10918\n37847 54675\n4449 11888\n32042 59789\n20151 70785\n30747 81404\n16485 65675\n5324 85457\n383 10066\n37887 85843\n20321 76112\n31796 92405\n42253 56327\n48082 49732\n22426 40958\n23404 83480\n11130 57249\n13274 82866\n25547 63290\n51287 76302\n2047 56739\n32984 68071\n39128 69915\n2647 45763\n33891 64234\n23784 64542\n42821 78789\n55431 86456\n35950 49822\n1433 16878\n32615 65669\n10134 45027\n83082 90588\n25297 38934\n25211 36634\n46666 79311\n28355 44190\n50233 70009\n12805 41853\n11088 63287\n30795 79854\n13823 56176\n44348 60895\n44512 72007\n14990 91342\n193 63396\n6345 33984\n44823 92813\n58455 58752\n464 64673\n1409 86195\n27531 46155\n11746 89810\n20689 40034\n26096 68486\n22781 22857\n31779 59142\n76564 87036\n23121 78149\n44507 81997\n44890 57364\n8640 21599\n16471 76376\n9357 32047\n23205 40364\n21893 77816\n74431 92717\n53726 75818\n38398 41501\n14933 44551\n8963 70507\n12175 24347\n31981 45667\n28861 47850\n44276 89250\n49025 79451\n46206 59690\n26363 46841\n7273 7571\n17022 80515\n43122 89188\n20887 33919\n39060 75803\n28931 71738\n39543 64514\n28419 61498\n19190 69352\n34683 59754\n41660 71393\n5197 26293\n7357 55173\n18150 41029\n40003 55962\n44709 61200\n65445 69064\n3429 6423\n45515 86499\n78591 88418\n16065 83148\n26642 76927\n21567 55604\n26844 57658\n41163 67885\n26664 63536\n31431 44010\n79862 87239\n21982 90910\n13351 42878\n543 60220\n29552 90545\n39606 41707\n9263 49392\n60707 69229\n70125 76899\n45927 72833\n64704 67285\n45603 60411\n43188 58760\n3685 27591\n11571 28216\n59940 85512\n15107 50634\n39465 92622\n39493 59320\n68326 91125\n39715 60745\n26867 38809\n33194 55531\n24935 26942\n7877 39051\n1914 35626\n18538 58683\n35189 75986\n23157 80082\n23619 46825\n2095 75133\n16071 73489\n18817 29366\n9600 54217\n911 17170\n14899 20398\n25507 41571\n6006 28379\n36384 71947\n52522 61700\n42452 92042\n13592 24463\n52092 64574\n6244 56871\n22461 92583\n43923 82680\n16132 30722\n32350 36666\n73100 77657\n7506 83294\n44213 81205\n74443 77095\n75832 81914\n62824 64146\n28732 31219\n6181 12002\n28963 46774\n13611 31280\n20467 76624\n4744 56573\n31530 89302\n66346 88524\n32720 84793\n9124 72188\n29404 86830\n22980 56485\n22209 82610\n14825 83088\n50363 50969\n44592 89259\n32357 63126\n12785 51403\n48990 57233\n14245 49663\n79399 86612\n14504 51210\n59418 82461\n3364 26107\n43377 55624\n67646 93121\n5602 22599\n44247 57894\n13529 48301\n61248 75531\n53649 75273\n50057 81952\n16395 68627\n12602 47349\n79285 84024\n79203 83863\n42526 64294\n45407 64303\n13453 30655\n60382 64266\n40581 82192\n4774 27921\n69735 71134\n14157 43571\n25216 50070\n18993 48838\n14106 61467\n50095 54981\n16665 40999\n24014 51718\n26603 86876\n86169 89154\n52013 87285\n62490 81230\n68199 74442\n52119 91249\n32752 89086\n6954 10390\n22220 42194\n34636 51734\n57200 84778\n66723 86454\n26799 36266\n7542 26790\n53002 70814\n11228 31746\n24187 31526\n31281 58225\n48100 75147\n23576 43034\n22779 46794\n15486 36333\n25075 75183\n76725 89533\n9697 73355\n6848 29695\n40127 86563\n6286 15606\n10225 57844\n52562 56869\n48318 66687\n761 89695\n52626 64057\n45858 78923\n9716 91268\n19920 48949\n76728 88801\n41466 69841\n53039 60596\n62622 86799\n86483 88580\n38645 52272\n40739 53204\n39409 47203\n40907 65527\n19766 35628\n5129 22165\n36576 37580\n51156 72759\n36568 64867\n36244 37849\n30842 73633\n41067 50804\n53338 63760\n82830 89410\n12157 26972\n18815 24175\n8019 10421\n27173 27724\n11980 54068\n23090 35543\n32589 86242\n23444 73766\n65822 66893\n707 71472\n44719 48022\n47087 53283\n35697 73644\n8870 23980\n27465 77204\n46401 87872\n21184 23811\n16147 59806\n12308 57493\n75942 86774\n50463 85496\n40204 68328\n24533 72536\n28449 54866\n23306 61156\n50367 60469\n33573 54746\n54451 54977\n69885 72176\n32227 62752\n23170 68976\n37726 60881\n2465 41087\n49232 58322\n5913 60924\n31472 51511\n76175 90481\n33158 64397\n20708 62152\n13979 41577\n9872 14213\n47051 66259\n32256 62197\n2685 22297\n38679 86730\n15576 60936\n28083 50682\n74160 88278\n4340 38067\n2475 19899\n909 69232\n51051 51403\n18307 55063\n30823 34551\n57335 61158\n7999 67129\n55213 59449\n11171 30775\n30979 39053\n22449 68366\n35478 37428\n11317 83097\n20456 60497\n52375 69447\n29953 47557\n26101 48713\n19698 44473\n50651 73787\n80361 88534\n46806 50593\n56571 67537\n73808 76009\n64273 80626\n325 39471\n21137 80327\n24068 88087\n10758 69870\n3043 3477\n26747 61683\n15663 87068\n33351 64764\n48510 80463\n35658 82371\n15593 85247\n149 1967\n71871 79684\n38859 83033\n7722 93061\n2774 69220\n4583 52839\n13611 30611\n11689 49315\n51055 88913\n88996 92641\n19205 22902\n15489 66389\n37029 73942\n54486 79240\n11450 45870\n1010 86750\n30982 54284\n42093 70888\n9485 66202\n3685 81603\n78833 81955\n32051 75956\n12790 81282\n30960 79683\n56287 78618\n31550 45120\n32432 91624\n59565 91816\n69424 69942\n65169 92770\n3106 68828\n53506 78165\n74862 80218\n21023 33112\n19694 28660\n6257 73225\n67728 79369\n59474 64411\n34527 66706\n22791 40478\n64676 92783\n79437 89959\n48237 88020\n482 28867\n24882 38633\n25770 51830\n56772 74318\n45936 69385\n43382 54972\n14312 47850\n4412 18972\n26011 35327\n43069 47969\n28305 92876\n26888 53829\n54986 77987\n67878 73484\n8810 30130\n28917 49339\n20860 21530\n68415 80856\n38362 70376\n73488 84282\n56347 76246\n67939 81546\n61026 71982\n977 10238\n38227 52032\n37971 66308\n4995 76904\n17477 32260\n24469 40664\n4905 67120\n13985 67254\n15683 36220\n8860 71647\n32113 34522\n6282 70807\n6076 80427\n2266 91925\n71603 89713\n39403 72849\n11280 52988\n38458 44434\n55859 66880\n43023 58657\n8955 16351\n58696 70302\n27705 53968\n7784 71187\n30347 66488\n1864 69214\n14079 79905\n46556 67934\n1879 90745\n20772 53463\n54641 54968\n76974 92765\n43424 84376\n7623 89224\n33931 72665\n138 48306\n77650 80549\n24632 61893\n13567 20864\n65392 84412\n40523 79395\n35370 42898\n56714 60464\n7624 84565\n3224 88202\n4405 46904\n34530 89063\n22814 69995\n12581 75528\n42697 43133\n378 6437\n45624 77181\n10755 83574\n29657 40148\n27555 79253\n59634 87443\n4883 70659\n45629 93156\n10199 76720\n17965 52437\n9702 57837\n48710 73907\n32835 57145\n81291 83512\n41977 62155\n69132 76164\n5587 79640\n51671 56792\n14584 83880\n37350 68521\n18361 28804\n57948 68132\n20187 73042\n66631 67368\n25835 73692\n84147 86037\n53461 65359\n32217 66813\n80076 88524\n27106 76436\n37720 57037\n32951 65418\n15371 19235\n12770 91877\n59676 64119\n14987 57483\n38732 42337\n12005 55990\n12563 67933\n24227 39552\n29032 43267\n41346 50336\n6374 31525\n35835 48880\n20566 82608\n65460 78300\n3701 87814\n18377 28059\n44185 77754\n63741 88950\n76110 88182\n9947 49379\n2158 10888\n84105 91136\n16656 48859\n16517 90114\n56236 69649\n9509 82051\n26425 69516\n3058 36455\n9186 31281\n8229 88209\n36116 56149\n41074 78939\n60829 79676\n22688 26370\n6291 21515\n68254 76175\n44736 60777\n56341 77045\n24167 42372\n9493 11420\n9621 28893\n4566 91690\n42787 54532\n1239 47943\n13729 68978\n15807 78247\n14486 51807\n68297 81805\n42204 47758\n36192 67664\n31708 90676\n31227 68977\n39264 72999\n16460 32645\n7923 72879\n4485 11239\n5584 43533\n83512 89072\n10076 80179\n81097 88941\n30463 62352\n37279 80516\n67451 68243\n65763 68536\n28306 61373\n51587 80948\n54891 79741\n15417 57935\n32660 56637\n9442 33302\n6187 67385\n47931 52803\n50643 72646\n8818 50399\n29702 56995\n31466 77967\n28949 88437\n26357 88783\n19292 76716\n40920 53069\n2014 36206\n42587 45029\n821 49364\n10415 28049\n18474 21517\n47527 76227\n212 54853\n78156 80125\n2688 17694\n27268 90484\n90763 93163\n6643 63992\n24153 48049\n24128 40126\n5224 24349\n39821 70518\n15324 76995\n38135 61684\n31328 37460\n875 78028\n46781 88221\n7888 12689\n47125 81306\n37890 69886\n3117 64043\n7483 77001\n33029 58086\n54079 85626\n31574 61437\n47300 48899\n30241 65520\n72382 92025\n13354 55852\n27073 41749\n15386 44295\n7935 8162\n85164 89414\n35855 69070\n44117 72159\n72324 75889\n51686 58187\n25753 45694\n41077 86118\n25641 72218\n23035 78794\n42121 55863\n43416 74912\n2096 41102\n9867 37692\n12807 83748\n79780 80772\n14229 16747\n25479 42398\n48899 72004\n20778 83411\n29210 73551\n39624 55413\n39933 48064\n10875 75377\n40361 48527\n81979 91846\n2918 65915\n27328 44148\n14762 18978\n1768 44317\n25074 57884\n45364 52429\n11717 23592\n18345 46639\n8619 43943\n49856 82733\n32270 75385\n17383 63101\n35141 90681\n26215 49215\n15596 25809\n40176 51473\n6622 38422\n32205 82826\n14453 72072\n62582 79602\n53497 54017\n16839 59497\n66856 85022\n12237 33059\n16711 22080\n80014 80561\n53518 72726\n55937 66498\n43419 63434\n28856 58513\n25751 42924\n73225 74310\n44668 54076\n18725 32718\n45568 80574\n26158 67114\n60699 80057\n11529 69019\n62171 69341\n29270 40105\n19245 46886\n37477 70029\n52141 87880\n38684 85761\n40286 76085\n53417 79684\n30721 55095\n10532 61736\n20675 20737\n3146 61760\n47027 90903\n36338 89759\n34192 66480\n27498 47436\n55367 80284\n11985 53351\n64815 67016\n186 187\n371 70840\n16260 77321\n8505 69117\n40579 73011\n3920 19673\n33333 74723\n24389 40355\n17253 62906\n4002 7430\n18612 35347\n27220 61911\n37788 84638\n50450 57438\n36442 55223\n64870 81898\n35426 60704\n72501 86211\n56439 88483\n7613 48064\n33168 69707\n81011 82706\n13206 13640\n47321 86042\n32026 76264\n9010 33896\n21174 82030\n9928 88965\n3176 25830\n43844 68717\n27588 39046\n2697 56035\n57317 91450\n43051 65897\n9558 64176\n2717 11498\n57350 64476\n82440 87738\n60 41275\n22296 31480\n39427 90933\n24924 63668\n22668 65770\n76127 80429\n79018 79092\n79117 86185\n22262 84234\n19990 35590\n14974 89050\n5979 89108\n54005 62369\n38120 86421\n23833 44283\n4620 19448\n12086 91517\n43144 63663\n42610 71390\n2750 24770\n20021 40869\n37644 62791\n36174 63076\n18483 38783\n72010 87989\n68697 81897\n28790 45901\n9710 90172\n55116 91181\n14259 89911\n80397 81354\n4650 55836\n49353 76309\n42886 85600\n13462 59247\n41174 47000\n12943 55922\n14356 74663\n48492 66421\n11386 63928\n48857 67648\n16689 88519\n46898 56693\n10662 75642\n39242 55414\n89587 92012\n66937 73696\n1219 75105\n27600 29993\n3658 76533\n75197 87279\n22495 88047\n35497 64056\n7815 83271\n50721 83503\n25996 77591\n51473 78468\n22828 64091\n25239 46649\n14176 71627\n8614 77835\n14848 29933\n7011 53697\n18923 64725\n59297 81275\n15520 51968\n74534 87688\n51881 52117\n1179 7260\n38868 68199\n7248 25648\n20916 88274\n16095 46828\n550 49895\n49335 54453\n52526 84590\n6226 79130\n22962 45234\n82746 85145\n28149 51883\n62492 92586\n1385 43067\n69315 76708\n23514 91379\n643 81460\n30980 64653\n38720 71938\n25163 44801\n12951 46315\n1537 79525\n10790 76472\n20848 60713\n9542 72938\n25568 31346\n13840 72310\n4322 37802\n5042 65849\n8228 89134\n10678 58842\n2832 66441\n72542 80004\n8353 78829\n28583 86027\n38532 73703\n32530 54591\n31938 72576\n38204 93050\n59623 70197\n32400 92454\n55257 84078\n10263 14162\n34057 76113\n49220 68180\n25013 90629\n24430 88912\n11845 45152\n16982 73664\n60798 74924\n27634 81867\n42408 83033\n91293 91763\n65741 68650\n44954 86942\n10987 29668\n35371 41384\n21537 74784\n18224 81385\n31228 48441\n4162 14464\n27776 43175\n13517 53610\n10904 89140\n4577 91010\n240 55265\n1874 7935\n37712 45968\n67261 88770\n64474 85573\n66524 83041\n23474 86277\n15308 70314\n5608 62657\n19535 53051\n37578 58522\n30478 57200\n6815 74268\n2799 68338\n29017 75807\n86817 89849\n80635 85330\n7231 38138\n14468 69486\n90171 90539\n18764 70242\n19696 77549\n41617 53903\n25237 29718\n50313 58670\n12026 47950\n16836 48061\n46472 56512\n7528 9674\n45443 69762\n35055 48477\n33681 87654\n17022 91456\n45856 45870\n63679 72399\n945 53905\n8435 47444\n44894 51271\n35526 46579\n39938 80977\n27161 29967\n5830 23168\n32425 55681\n5074 85330\n43801 51221\n57062 63555\n339 66552\n72187 86379\n27119 29399\n6175 50979\n33411 91768\n55614 73622\n21827 49049\n31464 78159\n19922 49087\n83197 88353\n74548 92973\n8378 36713\n4846 92625\n60878 88434\n15885 59796\n10082 74144\n41306 64325\n6243 14975\n10529 16739\n45215 89565\n31426 53641\n19870 53739\n12717 84655\n40363 63244\n61969 89277\n16407 84947\n66640 75212\n30634 34983\n11491 43698\n45213 80344\n32223 90911\n53588 75620\n6883 14184\n38707 71151\n10730 11252\n1966 77370\n31395 78637\n11998 24302\n39011 75406\n20494 74709\n18573 26662\n25345 52346\n43475 79312\n17147 57876\n46655 92048\n73717 86125\n69317 70141\n4401 52666\n42795 47599\n16012 91467\n15028 64843\n10681 72250\n9537 55941\n67038 88417\n57030 79004\n66204 68116\n27002 60956\n45949 56488\n28243 63614\n41524 46594\n12178 59299\n885 16625\n52220 63210\n23242 38692\n28646 61159\n2039 79206\n30283 36893\n44933 88686\n19365 51375\n37859 46396\n14833 84048\n49776 54487\n32535 39769\n30722 87412\n14541 25776\n20432 45788\n35027 83461\n31670 77717\n36879 50327\n7412 9530\n33676 67371\n20176 36376\n36794 80693\n6694 20043\n38556 40243\n15915 59111\n27606 65783\n51596 75555\n35670 83537\n35375 83536\n31099 31369\n32532 69175\n34079 48208\n3036 76341\n23486 70722\n1080 43170\n16965 53019\n11461 87652\n19520 69350\n44046 69852\n86622 92871\n4076 29445\n51252 69647\n51508 61238\n45782 76411\n40772 87814\n1252 52736\n25520 79368\n435 62050\n41828 88697\n23957 59074\n5455 79637\n5984 46689\n68922 80930\n1294 36618\n14998 84805\n29661 83191\n34945 64920\n19970 60773\n55476 83044\n10960 53783\n15587 77352\n42655 85592\n2128 64073\n34606 41273\n23003 39025\n25827 36722\n5989 76571\n23422 57443\n4797 44711\n14505 21237\n2655 69991\n60226 68897\n29542 88242\n13828 63426\n54434 58125\n41593 44167\n41782 66021\n28239 81724\n13629 83477\n58978 61425\n3478 82928\n38424 77665\n29321 36025\n5946 29830\n27998 42711\n65315 92395\n54044 82462\n54657 84025\n59389 90569\n8715 14727\n13552 48578\n26140 48137\n50832 66537\n29648 90241\n28631 83083\n37855 52382\n55231 57128\n52876 74724\n29886 71896\n74886 90509\n63065 83589\n19782 90745\n10624 64554\n42534 60989\n62476 80552\n51754 65828\n7130 64477\n66402 80131\n4396 27413\n38934 45464\n40442 67972\n4796 7028\n26153 75433\n1434 35168\n46334 90914\n43119 47025\n43868 56967\n25028 35626\n2541 80202\n29078 51051\n10145 48958\n31711 54445\n18157 91252\n12506 20467\n5830 90142\n16953 25093\n50463 89343\n28659 73345\n62937 82624\n36480 60295\n32677 39157\n10142 67557\n23822 27777\n2977 73192\n44738 76767\n76628 82237\n26806 72224\n1662 81189\n30523 74373\n12985 87168\n1191 47476\n20891 55462\n30879 89872\n12326 71533\n24019 48937\n20288 82194\n25466 84136\n56124 67939\n23366 33122\n659 42280\n55591 70727\n935 87757\n644 29590\n45163 48223\n1668 29798\n60502 71298\n45232 88717\n64711 77913\n78715 89957\n3176 28264\n13835 50816\n39778 78619\n34056 73336\n42042 70780\n23618 24831\n13459 88630\n48859 67830\n20800 38852\n31940 49884\n51596 72667\n58014 81419\n18759 71064\n18928 40234\n42150 64253\n29942 72936\n19986 88934\n21960 74210\n42171 92521\n29405 64495\n22330 72273\n14361 26577\n7494 78122\n3545 17877\n5610 21228\n601 92598\n30980 36762\n3275 12190\n51173 74367\n73717 86965\n17804 32651\n19593 48362\n45970 56866\n1551 77635\n38112 72988\n4462 43310\n44216 64158\n64102 81754\n10093 80729\n23711 42762\n65047 81260\n41473 62163\n5637 25899\n79071 79378\n3467 42023\n101 27737\n38826 74329\n26021 92605\n16811 34062\n18094 23957\n90325 90976\n67967 85366\n1761 66073\n2083 10608\n45238 54875\n70675 88955\n6725 90822\n51420 62080\n53700 54792\n18646 63529\n8690 58442\n2084 16198\n25206 49864\n38297 44605\n19722 59506\n16901 81110\n55859 70431\n46271 90018\n15506 53551\n22965 81268\n17276 50849\n1776 63302\n39046 53742\n41223 79880\n11346 46377\n2952 71835\n6792 77126\n64335 80935\n1786 39509\n50438 62701\n50890 69250\n22530 45549\n15138 43188\n7456 55010\n76797 84465\n12592 79471\n38402 40830\n22759 60770\n10733 74213\n40462 86899\n47110 61116\n2620 92273\n59535 80042\n34207 88533\n647 87333\n24741 34112\n24467 90201\n37009 62270\n7516 31147\n20776 64514\n48525 88002\n45726 79478\n5673 9681\n37766 62005\n7088 67074\n17524 31563\n40905 65348\n13372 87043\n52898 77951\n5854 52902\n54568 69647\n19167 71595\n29441 33230\n44776 58350\n9939 10654\n34465 47603\n14359 56501\n52752 85431\n34146 64847\n21344 60582\n41663 72773\n30458 86354\n32293 42491\n34989 41183\n13713 51736\n19311 44101\n40837 50556\n5594 75678\n13352 46039\n21476 91754\n5711 77637\n35949 57123\n73054 88427\n18446 49369\n53726 79770\n278 33448\n2031 9234\n20579 66270\n17433 17900\n16770 72320\n2532 85952\n12818 27489\n34690 52790\n13769 89692\n10376 28476\n25599 42665\n72191 89837\n57242 57607\n23112 35540\n45469 61615\n5526 89623\n63427 91890\n9419 45143\n50585 70724\n9504 22217\n58282 86691\n35716 43479\n43776 73301\n23446 50892\n27359 30005\n50110 51817\n52015 68285\n44892 50008\n58881 71238\n37868 74905\n19931 78290\n16023 81644\n41492 82210\n185 14343\n37746 56774\n3585 15548\n6949 39648\n19625 34252\n51991 76104\n21279 73040\n33997 80628\n4528 91895\n89883 91832\n40832 86026\n55200 83942\n27122 60559\n53824 63138\n16542 46623\n50158 66493\n46236 78459\n39592 73415\n6808 75285\n78172 87091\n7712 68166\n65232 67429\n37042 71111\n51289 92379\n28352 62663\n4853 38535\n33886 64344\n28567 45231\n14684 38948\n89123 92358\n13291 49576\n11742 68143\n75814 87814\n53956 91876\n1823 57115\n24840 31230\n10920 19594\n15248 30102\n25100 49602\n26907 40424\n13631 83844\n50277 71481\n21183 70409\n22507 80843\n74869 80068\n32906 69589\n53136 64523\n51930 70294\n15078 75622\n40292 91969\n37730 73946\n8645 52134\n39180 51004\n586 79970\n8617 42498\n19811 65068\n19686 51657\n6589 52180\n28283 86015\n44754 89701\n77750 91643\n58365 91297\n1839 71976\n6334 74141\n47077 90281\n36842 82316\n35924 79109\n56387 80688\n27029 91296\n42067 49433\n28313 82507\n26738 58502\n8345 90429\n24045 80458\n31378 63630\n51400 64412\n27675 84975\n32117 40951\n27607 30340\n2784 58024\n37601 43106\n41445 80388\n28402 70283\n9460 16142\n60465 78860\n7586 69063\n65404 75749\n6796 45382\n40302 76093\n15516 36671\n56370 68434\n7367 70693\n54853 76682\n31418 35303\n52312 65968\n32963 52815\n22173 90533\n49916 90645\n11254 81604\n7380 14188\n11033 59737\n48826 68279\n8979 44239\n29164 45553\n4259 26967\n7785 14263\n41913 86355\n7116 66847\n25502 92883\n44552 91237\n30316 48191\n35920 41291\n38913 84472\n63014 74221\n24719 90450\n53266 79656\n21172 78217\n3148 92921\n10786 83455\n44317 85400\n19613 81915\n8415 47312\n20518 90949\n12658 17485\n55196 60559\n11564 58151\n72563 91941\n2893 73825\n2668 45181\n17064 61545\n2783 59283\n2115 41966\n62342 73243\n1496 28526\n33413 52106\n36110 54523\n61078 63474\n47123 69256\n29184 82368\n9391 19195\n4754 23790\n49912 92491\n5177 24037\n41323 74012\n3882 21372\n51197 83529\n10761 36609\n26640 36935\n47199 49765\n4718 74440\n43498 77107\n9580 90299\n40428 69440\n24113 29319\n41618 44450\n37365 73291\n95 56619\n384 66937\n26144 43288\n927 85894\n19683 23785\n51369 70093\n10544 23797\n12614 27868\n14913 52623\n27422 56437\n10761 74059\n7752 73217\n34625 69531\n7199 42040\n26011 30142\n3687 33898\n40449 51098\n30137 68995\n15621 93118\n8300 27693\n57704 72412\n31929 92667\n53818 54635\n8060 31321\n4782 27267\n33775 84702\n7315 90530\n35872 84955\n1118 65651\n8621 55411\n54525 63461\n17270 42923\n21116 85746\n15337 81523\n21387 61349\n38529 67838\n9028 50469\n36417 86414\n4402 73999\n14388 26560\n52303 79021\n13322 32555\n2739 79547\n44281 45944\n30860 57823\n16266 85068\n29376 29903\n51225 62107\n35528 60794\n65996 85515\n397 35064\n8754 48218\n11738 37649\n2796 11829\n40513 40565\n55102 83600\n10170 72295\n8892 29079\n31570 34215\n53371 80032\n18459 33920\n61830 89790\n59770 81123\n2402 76076\n41777 43454\n32064 34807\n13020 71756\n35817 49745\n79949 84789\n37700 91545\n56534 78002\n51654 63236\n22582 56318\n160 37723\n15255 91270\n41484 80597\n25004 52735\n58069 87426\n59106 80541\n23219 34273\n21826 72676\n38700 75879\n8276 21948\n14765 33421\n44229 59647\n11828 90349\n22408 38478\n17044 76630\n39408 92268\n51226 53667\n5852 61701\n9273 54973\n10722 44310\n12586 70142\n6589 18020\n34683 51424\n37890 43660\n44393 70940\n33288 87838\n30479 72417\n26963 76094\n40432 88316\n11695 55743\n47582 63287\n22189 48722\n22614 65126\n19958 31061\n44349 74738\n16535 20614\n26835 78848\n71868 92264\n30256 32674\n38716 53546\n28276 42460\n5103 6674\n28024 90126\n24245 83217\n47836 68762\n1023 41627\n65399 78228\n6524 51185\n41154 61783\n49226 56157\n22514 23587\n3334 42620\n47349 84472\n7949 69468\n90039 92165\n42585 49021\n17184 38976\n60609 85787\n15525 68213\n23285 50998\n7990 65737\n23868 45906\n64056 80616\n6120 92324\n43650 88929\n1867 42718\n10190 92982\n39561 72338\n4717 57533\n49005 55658\n22529 46382\n74495 77271\n78911 79146\n13915 82967\n13502 90197\n5963 62105\n17576 64059\n60678 79693\n13715 47117\n14215 22671\n12277 89235\n13804 60657\n18526 85676\n19177 61203\n49948 64114\n10829 86758\n13342 16025\n791 84404\n53924 88651\n66165 76830\n22058 74171\n4629 52427\n12397 40491\n17882 51889\n13260 47446\n32783 85575\n11012 76445\n17557 30323\n52923 74422\n5347 39931\n11829 92105\n43853 43859\n16991 66611\n2413 62255\n52058 57689\n3555 65361\n44532 47495\n38644 65547\n62630 83001\n15839 79918\n5783 78532\n35108 53204\n24835 28698\n17258 30786\n13312 35656\n84302 91284\n81591 83996\n11106 68987\n39436 67038\n10651 92163\n13564 59422\n10313 64833\n37042 50836\n39793 56066\n13277 32022\n3589 81020\n33436 77913\n7026 52339\n13061 60719\n36981 44310\n11117 16009\n20658 26125\n48124 56840\n39250 47913\n3595 6182\n16350 27826\n1560 63380\n74241 74301\n78517 79663\n2564 18303\n34462 42961\n6755 21491\n54002 54330\n47658 84760\n43182 90127\n50721 68272\n19777 26259\n14238 67344\n46384 49599\n65550 79937\n17069 88007\n75220 84097\n12965 33585\n17951 68388\n30911 88861\n61649 64955\n39723 76227\n4151 55171\n24381 26870\n2650 49786\n49987 86365\n48409 55493\n21579 36921\n13985 16292\n5459 41474\n51604 62093\n24201 55093\n18323 91275\n1799 46469\n4446 80113\n1972 39521\n36716 70668\n49792 69100\n528 37134\n26911 90532\n44687 57345\n5664 86420\n11874 65562\n2976 83695\n59215 85566\n44555 88865\n40719 52828\n12308 41252\n5965 8887\n19763 60804\n38497 69069\n80691 86703\n21679 39786\n34952 85656\n3934 23647\n39653 39928\n21721 78775\n65978 88764\n7468 46359\n22469 53310\n11830 44441\n8196 81388\n4637 32817\n7945 73231\n28018 29108\n26200 77649\n23085 91501\n23835 69716\n39091 91092\n19857 37181\n65694 69633\n43092 53756\n19869 90393\n50058 53545\n23290 56846\n29633 52279\n32202 47424\n15587 62835\n27909 36195\n42712 81263\n12899 77765\n13946 33336\n11892 73806\n53376 85153\n59516 72654\n31907 47567\n30339 79124\n10623 53726\n61074 63576\n24941 49567\n31012 51999\n10802 19644\n66076 68528\n45636 82668\n56502 62375\n36352 81607\n14045 35747\n10541 26630\n3092 14502\n4643 35815\n77887 91073\n54628 69525\n19499 67780\n19657 76509\n59169 75700\n460 78469\n64565 69234\n27028 87959\n1277 40823\n33956 53415\n4174 91439\n27985 87725\n59273 76731\n31661 74858\n3267 44021\n57189 61515\n44852 75540\n1044 29543\n82472 86207\n1122 84630\n45043 56369\n13433 42118\n23977 46247\n55174 56546\n24919 42929\n58651 85413\n29772 92180\n1716 90859\n42649 44006\n49298 87092\n59275 85788\n49009 57898\n13204 84463\n24328 72574\n27562 61604\n19743 82136\n57991 61768\n71840 85270\n11781 40359\n17609 59840\n26833 31771\n18033 83552\n3798 38469\n30690 30812\n9950 33694\n51246 66950\n52188 66124\n1589 43371\n7137 19106\n40233 45095\n18248 79509\n25945 48808\n9382 48024\n14812 17395\n25488 73683\n44795 64459\n20576 79652\n108 678\n21669 70341\n11037 24623\n20086 79676\n71832 82683\n56590 67914\n50429 79606\n71011 88777\n20470 23606\n26112 58535\n5312 16047\n71286 90951\n4342 87803\n4299 92006\n44946 57465\n23695 24431\n39555 66681\n13408 34433\n20871 91109\n29123 39256\n5822 43976\n4062 83575\n8304 90766\n65151 76504\n7561 57570\n35926 69963\n75016 80859\n64986 87054\n50441 66900\n16478 91717\n5410 79803\n36691 71625\n72723 75952\n25834 41814\n19097 38674\n24565 41387\n65848 85026\n18847 56639\n7835 13607\n8149 35249\n20643 68062\n47212 87804\n38068 42797\n520 3561\n19191 34497\n267 8939\n40749 48925\n8224 90716\n13573 31953\n15250 38520\n88023 90425\n25563 29903\n55089 64759\n39923 81742\n39385 73961\n48324 66397\n29896 37517\n20518 76117\n54402 90317\n39266 42137\n64652 70702\n11875 87805\n11038 61555\n37520 87778\n770 79185\n25386 73504\n22363 84527\n47267 68797\n78648 83717\n56564 67253\n28692 48134\n84460 84644\n29962 52669\n24116 54538\n19759 86227\n37608 89775\n20465 91465\n54517 85496\n38565 77603\n20805 26255\n45816 48584\n76694 79664\n7329 22797\n2651 35355\n23902 60337\n59518 80067\n42996 57932\n2025 2390\n17347 73975\n63371 87656\n5786 46551\n68374 86875\n67536 93044\n76604 81229\n51 13039\n48894 71010\n17584 42866\n41069 56771\n12194 12625\n33464 81329\n47558 92194\n56177 79631\n19064 28379\n37682 60762\n20683 81691\n7359 60690\n72704 88217\n19205 36396\n52643 64531\n47771 55658\n75452 79440\n32866 33857\n4177 67690\n6966 36771\n28997 51761\n33705 42726\n16325 35815\n43829 78764\n58045 61584\n8522 91384\n25654 40177\n1177 86124\n38547 59411\n37763 50526\n29518 90454\n39466 56353\n7854 77856\n36720 45317\n5302 18066\n45625 90795\n18012 75711\n64109 91273\n28087 29411\n32701 82707\n88566 92580\n8737 34424\n9478 26676\n17469 34410\n46691 57068\n26066 90013\n53158 91010\n24886 31538\n75574 87745\n16182 64233\n70208 90890\n27140 61783\n67518 81603\n8038 92609\n3963 90561\n65545 91725\n16660 75259\n7414 61526\n56605 69659\n10505 20023\n80143 87921\n23907 50002\n4207 77854\n61285 70032\n19694 91145\n28837 67006\n7117 30150\n5390 74332\n26583 39047\n13116 47672\n2550 74022\n21175 67732\n43251 80745\n28435 32871\n49003 71897\n9322 88669\n57752 86236\n1361 78363\n15527 22457\n10189 91787\n39072 71093\n50319 63975\n2654 58355\n40773 46307\n72442 81062\n32309 81854\n59308 81306\n20480 46024\n1667 72992\n6216 88232\n59433 88202\n10057 16791\n30245 67212\n16 36769\n7111 49386\n71080 83099\n29338 87075\n42484 60279\n9879 76595\n32948 63451\n47010 82782\n20644 48250\n35841 89652\n22443 30026\n33879 46730\n5516 55842\n41206 76223\n51668 82339\n19817 23987\n48820 54711\n70665 72927\n43784 84919\n38714 40670\n717 60930\n33471 57923\n67937 90166\n47799 83882\n40833 53793\n6000 67164\n29482 92940\n3814 18873\n10103 91008\n31773 65028\n18072 56649\n48904 59436\n37038 88761\n16562 84674\n54114 66764\n57924 85235\n4176 68157\n8399 49925\n25702 73334\n19046 19305\n51653 81652\n33940 64442\n5744 48450\n29251 51869\n13601 83288\n41358 85259\n68305 70530\n30223 88040\n18903 37471\n27257 90822\n7139 36688\n46985 51473\n289 28167\n7832 20726\n16869 37925\n55597 77689\n20373 75238\n14321 59926\n8773 11504\n33860 55438\n58631 73652\n11569 50282\n31372 90008\n39286 71394\n24536 68887\n46578 87837\n55125 84629\n25524 87040\n34141 86372\n455 56972\n32118 32183\n43209 69463\n17279 70009\n21760 66221\n19580 91777\n14239 61440\n80064 86903\n28172 76028\n36297 56509\n11984 31585\n16536 39016\n56033 70544\n5449 61712\n61995 67702\n20868 48884\n30120 80077\n42588 72161\n6751 57670\n22381 57025\n47262 71504\n56094 85296\n82208 83951\n35370 75876\n60013 69425\n26760 72467\n5570 59595\n22644 58249\n62278 63583\n33833 53883\n2091 57418\n36454 48349\n17781 29870\n11636 44443\n19709 65165\n22269 57096\n15514 80649\n4505 78396\n8646 57453\n52919 62180\n12163 88105\n63937 80282\n33317 40997\n4688 43821\n35078 45348\n11705 73130\n25233 84047\n4806 76971\n775 59523\n60834 76805\n1546 2293\n33601 74763\n63307 69928\n22932 39765\n21159 25486\n66821 79199\n39730 47343\n35624 38226\n7150 57642\n647 80916\n44214 73198\n39436 57891\n7854 12381\n79432 90479\n40558 68979\n34522 59679\n31314 70046\n48418 89364\n16652 40175\n13260 35726\n70811 76646\n19628 69602\n26734 46127\n55792 73932\n19684 85214\n24038 38742\n11185 71768\n2862 8716\n28901 57743\n23384 66850\n10083 39984\n28809 46085\n27312 63436\n33285 71315\n66547 86323\n642 43277\n948 76501\n46706 84517\n26315 32179\n1676 26203\n31133 78847\n14975 27810\n2666 84069\n12799 82851\n8093 26989\n3986 49179\n34281 78368\n33694 75622\n5872 12218\n5226 46338\n8116 46906\n3962 17350\n13086 68908\n44785 71642\n2911 18529\n49988 76367\n10019 69255\n9898 32661\n41907 62845\n36228 38203\n28127 52024\n67519 75938\n59049 65056\n28735 76550\n54285 79709\n56116 66785\n32191 55384\n59619 74822\n7595 90795\n1575 24231\n6549 92689\n26550 61392\n18063 19458\n18985 61579\n84267 87808\n18368 18668\n15323 66433\n7911 25447\n12582 13901\n27988 59276\n32382 91085\n23850 53987\n32776 61669\n19015 84249\n60087 83229\n57513 64014\n19302 67117\n33157 74890\n5173 79976\n72177 73260\n26882 55712\n25755 36796\n12080 71606\n3910 54009\n21267 51664\n41090 75578\n76328 91725\n39051 65921\n51594 81012\n5238 91400\n566 62120\n15372 37153\n53489 88234\n1370 68614\n4201 86476\n42786 87056\n22013 48131\n33166 82612\n87777 90042\n65844 83343\n47419 60294\n11236 71461\n60142 62598\n46146 73534\n12212 54883\n4132 43816\n8197 91811\n13706 31026\n21391 92850\n90287 91733\n14782 85836\n12205 91033\n12934 86983\n13665 82004\n21981 22877\n18497 33259\n62359 77319\n2267 21055\n12757 24084\n29057 53417\n56744 82815\n75632 81098\n16335 72884\n242 20893\n20702 49268\n25681 92656\n68783 89315\n21813 80407\n20814 21403\n26185 35702\n37197 55788\n38772 80819\n5936 52206\n32665 71494\n12076 66331\n7091 64433\n41521 60620\n37803 40422\n18865 70148\n41955 84257\n66359 88242\n4127 86788\n5196 44429\n39220 78201\n14705 14747\n59875 74553\n52100 67514\n1332 58937\n21055 23303\n27089 88020\n19794 38276\n15673 22250\n941 51678\n5260 24760\n62174 66138\n34356 91332\n5233 43793\n29361 43561\n24885 91350\n7887 15292\n33715 60062\n3108 71324\n41608 77187\n37575 48460\n48417 53758\n32250 48989\n9668 83448\n46798 51788\n10554 92644\n35650 61780\n19617 92516\n20233 91333\n32187 64844\n43211 44593\n9178 34018\n74940 88756\n53843 92135\n10870 64784\n50477 78511\n11847 34937\n47898 64729\n2309 27114\n24929 66013\n57021 75860\n10502 88742\n32498 73294\n25501 42337\n10274 54642\n24285 30256\n1888 53591\n8330 73875\n44068 89160\n4334 83295\n51443 65717\n31967 45134\n33772 78764\n31919 84406\n25046 84801\n42725 73691\n23132 46412\n76750 82048\n45723 58864\n48953 79293\n19090 59833\n69014 80852\n14027 43042\n7769 61093\n56400 78383\n51063 89412\n45918 88672\n33890 40368\n55515 70467\n50549 87469\n31329 74093\n68777 71556\n38070 50134\n10146 52804\n15349 21186\n4933 27661\n82866 91561\n63659 76355\n29321 41349\n68899 78350\n13643 46563\n54243 74922\n3413 6514\n41175 65203\n63956 86290\n154 79453\n83138 89762\n16340 26851\n52728 88785\n54116 66677\n2473 7687\n55119 78400\n795 79517\n48592 60807\n74326 82612\n19963 59585\n23703 79079\n9432 39223\n23839 71045\n35043 64345\n58190 62917\n13477 32552\n15298 25493\n16676 28179\n15096 18481\n9813 42214\n74565 81887\n16203 30565\n54854 69408\n20094 36255\n27209 65348\n13077 76632\n8014 62358\n15050 86214\n61298 87962\n57414 84396\n33850 85808\n41740 48809\n261 7096\n1865 30164\n22690 29687\n28308 49140\n11465 61455\n81738 90648\n39108 86026\n16678 70520\n5763 80563\n19530 80132\n24775 62911\n3834 71661\n6982 23641\n5876 56752\n46010 84751\n36392 43437\n42728 72096\n62474 80879\n59524 80224\n22064 64134\n18264 84033\n53820 91197\n11879 52294\n30429 37854\n39560 58243\n11028 88524\n40469 86660\n24502 25482\n34158 51193\n37939 48287\n63511 90799\n26246 79955\n23857 45017\n23450 90886\n43939 47934\n30778 40915\n76374 86118\n17948 23262\n69230 85178\n10780 56792\n19522 76423\n48151 54436\n35143 71629\n53753 54200\n23658 37141\n24906 44017\n38961 73795\n2141 48821\n47689 67139\n12740 21656\n60569 70474\n14793 34409\n22367 64833\n15591 25775\n36205 51487\n37905 69390\n45567 87928\n38520 59815\n20690 72109\n4089 37818\n11077 73837\n36943 51018\n40712 57615\n20174 25673\n13773 78607\n4477 65332\n80674 91796\n15757 38555\n5552 15592\n21036 76428\n18300 25023\n14679 64090\n20425 24673\n80391 92520\n4353 89129\n39075 87290\n37928 39473\n4625 34620\n34477 67831\n42270 79713\n14257 45090\n64189 84381\n22346 86634\n59926 73148\n5405 69947\n32473 59727\n8927 24875\n5276 76701\n24256 56865\n26093 50833\n6226 91131\n37761 85454\n33691 90301\n5385 65240\n33447 85679\n53270 67330\n61978 74304\n17001 22672\n50232 79637\n57203 82538\n43121 48867\n33675 43637\n15444 56171\n62731 66672\n29549 50692\n36342 67261\n12315 69064\n42500 54355\n22016 50699\n20371 43907\n50187 86275\n35143 58889\n78765 92343\n11579 33020\n11597 69239\n52645 72109\n9684 90593\n29384 42441\n18436 92834\n27309 62816\n7015 68240\n3309 10870\n72953 83892\n3055 74229\n10188 67804\n10465 48867\n20240 30508\n19359 86626\n30930 43622\n17016 26772\n49033 75394\n1597 61577\n7720 65581\n59811 72949\n19076 80990\n52496 83349\n59230 75555\n9941 62260\n28628 40785\n16215 81686\n81128 89246\n35553 57999\n7802 22107\n9059 27000\n12130 86798\n18314 41726\n12568 18135\n25206 42382\n52588 72663\n19159 80300\n398 85377\n50587 92221\n46395 83772\n27466 51987\n12218 73370\n28548 77284\n10707 21267\n9185 45975\n58459 71577\n63039 74097\n49807 73773\n43633 58981\n3365 12481\n33891 53201\n47401 73100\n36458 89810\n1805 51584\n39815 59344\n12486 30163\n11252 70252\n16237 63758\n40387 47790\n22269 79447\n36127 51461\n38726 91086\n12814 40407\n36421 41317\n67767 82008\n11643 59153\n33797 87130\n34871 67293\n84022 88032\n63754 68490\n4120 58604\n13053 92361\n22264 32281\n38821 87602\n35275 61813\n53333 76269\n38070 91006\n77811 88716\n19385 38156\n37360 92340\n60845 81386\n38035 54935\n27426 77583\n20784 25176\n60105 68627\n15626 26615\n7507 16266\n27806 40089\n75071 79302\n431 42170\n33013 66993\n52661 61629\n126 66816\n6021 15797\n19148 66817\n28635 42566\n239 7220\n36221 36308\n6721 19738\n29498 62222\n26618 73248\n11693 46221\n39526 58013\n48271 56616\n8826 79308\n45130 68324\n8422 38692\n9290 10336\n17346 42627\n14560 67785\n43368 91249\n14502 56583\n2457 61433\n7876 21900\n66764 90098\n5495 31399\n9551 76688\n18881 69182\n6472 72890\n50378 87773\n18908 19833\n43850 79858\n65336 71806\n82452 92078\n25662 47423\n31572 78375\n7453 67355\n26292 65704\n28146 28256\n5610 17496\n36113 48135\n59807 77449\n57257 70274\n6599 15048\n38706 59910\n25856 39336\n2129 65517\n18991 45539\n48970 88090\n9931 44903\n75120 86542\n37581 58624\n1945 84525\n19490 73728\n65370 91414\n29893 66747\n15185 32789\n17114 92418\n31881 64972\n60534 63039\n32579 91621\n61722 67018\n29132 37309\n49322 80606\n48498 69424\n76743 83183\n20500 59131\n3582 50786\n27086 50346\n31953 35312\n9146 68970\n53865 72941\n50456 65631\n21041 40515\n56187 82172\n78036 89100\n72590 83693\n15278 66342\n5585 60103\n26543 52255\n28667 50395\n25993 87123\n845 4596\n42836 71327\n13748 40992\n32012 55779\n39247 75664\n54926 82383\n65419 85343\n2514 86263\n52671 68394\n19849 26684\n36058 81739\n7010 35451\n1878 38868\n7931 61785\n16543 62346\n20152 21507\n42278 80212\n78304 78715\n8290 77117\n40560 57115\n14352 49494\n33055 51197\n39182 40316\n2108 80870\n4082 4568\n15822 38910\n12677 48797\n40218 74268\n35639 83919\n6381 18754\n7132 42046\n63312 83460\n35195 43868\n11488 18837\n709 48670\n21594 36771\n68566 91583\n2258 81014\n11034 63410\n4868 14226\n11693 84770\n35936 77012\n13750 33402\n13400 84836\n6556 39579\n27748 41254\n28008 55599\n6558 50243\n44075 56800\n5853 36300\n15172 27153\n20138 48326\n44471 72753\n59288 87397\n43933 47916\n18162 24413\n60339 82716\n48013 82553\n43001 91678\n4649 68189\n74259 84679\n81438 83006\n57354 83290\n13771 69428\n10959 82117\n36775 89045\n27851 61427\n19026 85446\n13687 26447\n60052 81906\n27525 67314\n29446 74032\n42411 79534\n13646 77814\n39664 39827\n5173 33258\n12549 56389\n8761 88841\n55052 77136\n22313 42207\n14457 45495\n15250 71670\n11884 72085\n23058 58948\n40573 90078\n46890 54055\n24053 72346\n47510 49325\n5149 83332\n16934 67007\n5179 92965\n18347 45440\n4857 78155\n8029 69957\n20693 46477\n8836 50094\n33298 40906\n63726 72176\n659 32978\n11262 31785\n56462 84446\n49941 86437\n8067 50683\n15610 42739\n45902 92119\n36641 84478\n33386 74731\n25015 56969\n26016 32691\n50054 86473\n34415 72282\n12933 80727\n38858 48190\n20067 77573\n479 18438\n56827 67839\n52456 61271\n64483 70075\n17706 31804\n53663 68718\n43562 90787\n71268 89322\n37936 64513\n60048 82901\n58898 78744\n25574 47442\n43032 55724\n17216 81534\n31084 87117\n21449 68894\n49303 83853\n12923 69467\n54452 74354\n44759 86120\n13918 31428\n4958 30846\n6546 6683\n39677 78685\n59805 61929\n7730 90128\n13138 15510\n17239 70709\n31171 31888\n5250 44655\n16640 60820\n67992 86993\n41867 66291\n17277 79274\n4270 21940\n36651 86784\n1226 60408\n17143 42932\n55800 76978\n3047 42256\n33189 51090\n53067 88320\n19495 72099\n43011 69326\n30811 36901\n23262 52319\n37518 43646\n16168 18419\n3047 66170\n9995 41085\n8081 19021\n57042 59860\n42523 67146\n31589 62510\n26158 63079\n30763 90825\n14655 19606\n6514 52183\n42294 86452\n44968 69876\n62345 88688\n14636 17651\n30287 65794\n6429 88465\n52329 75788\n17361 48244\n5348 36899\n13535 24368\n20990 44371\n23286 45688\n4808 64891\n9962 47051\n19491 23439\n51349 80945\n42073 83872\n11372 43766\n78474 88439\n83520 85922\n28264 62110\n2120 30616\n85026 89940\n1186 25073\n7426 45789\n2454 76537\n35502 39384\n58635 76224\n46956 69653\n40475 68949\n73060 83336\n36222 49503\n15021 87737\n15000 32497\n2637 3501\n61916 74111\n82114 88024\n40815 70154\n28590 32058\n15139 65992\n49227 76758\n919 1322\n15293 47421\n55144 86498\n13916 71844\n34561 90219\n19177 53857\n16160 81455\n409 77549\n41489 70256\n4837 17187\n63659 88768\n6420 90047\n86244 86714\n5687 18445\n75267 90677\n26228 62260\n14807 33431\n12303 43103\n11762 59082\n88965 90965\n30574 82035\n35590 75479\n25822 86082\n40645 73427\n11647 71179\n55208 77626\n25392 42431\n50369 62569\n40413 73247\n37746 50619\n17711 32940\n15687 86652\n53049 85072\n1512 4809\n5571 90024\n24784 59584\n11271 44325\n46360 79684\n4922 28458\n29608 67266\n65486 70906\n8562 27305\n80803 90898\n43164 67075\n69798 72261\n6602 14274\n29432 68816\n13811 85537\n71566 73138\n41946 76898\n17217 81539\n8514 44125\n19684 27760\n53098 54871\n3797 75968\n24799 32681\n4095 9650\n18268 48757\n13666 55782\n66664 80529\n54722 70049\n31996 35314\n50066 67779\n67041 67797\n6591 87299\n7815 51628\n38986 79316\n14218 84460\n12192 88238\n15392 76847\n40951 75559\n47971 68915\n3558 13914\n13565 56114\n15018 48636\n60395 62253\n5626 26637\n11255 65403\n32774 52683\n6986 64538\n38700 48736\n27659 61067\n48483 85203\n67583 87033\n18040 89270\n78495 79976\n16955 81848\n34424 70383\n3833 54897\n43906 58505\n50566 60016\n4314 25724\n42953 78995\n56906 92811\n1822 34478\n81252 90651\n250 67544\n68317 70248\n35237 46886\n9810 79819\n52864 78969\n54506 70483\n24600 55788\n12782 17108\n48187 90304\n19273 51747\n876 48790\n32752 52664\n78404 81456\n36176 90624\n64257 79177\n45034 49836\n24807 54789\n4196 24401\n9061 16554\n30173 54503\n67292 75800\n2121 58388\n74370 77940\n9895 52509\n37348 69891\n33494 62058\n53698 65585\n316 20443\n17574 90456\n35312 61977\n17078 92812\n80555 87231\n31738 48387\n25301 45860\n13841 66798\n1496 48884\n40461 58080\n166 89381\n19063 92764\n20310 61755\n27133 41076\n26940 49917\n2490 69346\n21688 58026\n54653 67841\n47127 92838\n21276 54005\n42377 44751\n60113 84772\n2532 53528\n66859 71317\n48571 83274\n19558 78676\n37347 76435\n47652 75141\n38284 74676\n52851 74476\n17460 35093\n22829 47787\n39037 40548\n30306 75623\n7785 84947\n63749 77208\n2468 43832\n38017 47378\n38314 85359\n54785 59360\n16074 56509\n6401 54496\n12673 43961\n67774 83614\n44378 80303\n84020 90679\n39631 45587\n24611 38880\n58754 64951\n7942 29670\n10431 83779\n9993 17612\n52559 61115\n48407 67190\n60178 76464\n23598 26203\n42030 66374\n41459 55188\n17206 89478\n5402 12041\n12625 26386\n13061 88117\n17932 83782\n50936 59808\n546 32711\n43250 92231\n10676 71370\n39643 64335\n28976 90459\n85024 91983\n14203 52528\n48458 82599\n61204 82720\n5416 71998\n216 69116\n32996 83844\n47065 57355\n28219 40517\n81308 84972\n37436 61731\n5929 31044\n42116 78787\n1194 34810\n40630 91365\n13199 50742\n7553 49360\n13186 28851\n84786 92743\n13188 82184\n18675 33350\n3251 40349\n17167 66862\n69892 93035\n51111 53985\n29407 49864\n34817 83733\n12657 78413\n57958 72678\n2447 81135\n33288 81907\n46004 82754\n6206 48887\n56376 80968\n2655 92300\n2955 80043\n46297 59757\n42907 48656\n18189 28295\n46333 92022\n31733 91397\n37449 54491\n8797 34473\n5225 7529\n48149 67382\n17309 66209\n32005 83775\n16191 37240\n27750 67843\n29222 70721\n22754 39071\n16145 60947\n14479 32454\n393 43211\n40603 70616\n89085 91057\n77606 80922\n11486 35129\n7208 78940\n28375 73667\n44043 77462\n44566 85322\n60399 79627\n8180 68706\n30112 35412\n33559 81381\n41411 51915\n37397 58796\n21761 87020\n24937 38717\n11013 86380\n11482 42578\n69652 85459\n70641 80429\n41430 63399\n50558 78596\n1624 75961\n9298 78079\n15602 42106\n29814 39385\n56888 64755\n62295 82677\n23359 31929\n17976 22961\n6832 23817\n19479 82764\n20888 52495\n18293 61893\n48005 60473\n30391 68949\n1635 81719\n34563 45437\n2485 91857\n7547 55262\n21871 67387\n45956 73561\n33793 85244\n987 84778\n25381 52074\n37890 76885\n40353 56995\n8558 61281\n42343 88264\n24536 82550\n17556 33821\n1911 27989\n1759 88050\n39696 47458\n23401 90433\n70120 84217\n20008 33441\n15005 46696\n72782 91815\n9702 27969\n1100 65225\n2279 37577\n3355 6140\n29789 57912\n37051 40531\n51966 65929\n13095 79633\n10817 36968\n64402 87739\n77530 81083\n16950 76096\n11433 41786\n42197 62916\n11001 70145\n62750 79782\n64861 90090\n60047 66334\n18898 73404\n25845 39812\n12342 65066\n11455 84250\n48457 53486\n21035 69336\n68155 74667\n36956 51164\n2287 39326\n39957 66904\n31276 59139\n68396 86396\n68375 69440\n13161 33135\n2107 17769\n10181 81423\n16618 20457\n9553 57809\n66609 92946\n59570 79515\n27705 87979\n18932 81180\n16507 60878\n31484 50130\n7949 62275\n60515 62463\n62351 83564\n8756 60654\n42457 72236\n47639 92883\n7847 77046\n2907 84904\n31506 80425\n262 58369\n43391 48726\n48960 72817\n2155 88336\n25904 79853\n12740 18390\n36622 92279\n16178 42806\n7536 90939\n51095 91052\n17794 70185\n34758 77978\n66347 78252\n18324 53997\n41747 77828\n49101 55775\n72691 83266\n57971 80078\n28218 45242\n28571 35233\n39949 48193\n14244 16444\n34145 89059\n37030 60621\n51406 51478\n21787 81882\n13751 39804\n30381 39826\n39953 92421\n18390 74572\n49053 55229\n43210 90763\n6810 38450\n26349 84120\n1008 22824\n54162 80363\n26301 42122\n12971 67663\n745 28754\n37046 77501\n64683 88303\n308 88580\n733 63339\n11524 66424\n74551 91532\n33738 79873\n32753 43215\n16041 38297\n30198 67905\n18708 81647\n19090 61422\n45360 56995\n66965 89734\n15264 20198\n19920 35319\n24609 37247\n55960 60946\n53904 55428\n10772 43557\n36788 67443\n67261 71870\n23836 78862\n10301 40523\n7326 77859\n33004 86095\n4706 67965\n34769 36021\n38125 58595\n35895 72171\n1720 42905\n8278 38178\n89831 89837\n32313 48243\n33829 80303\n846 48375\n23379 63114\n68810 90957\n2229 47502\n52748 60839\n37312 67855\n23492 40793\n172 11042\n74808 83191\n59056 78709\n17248 20501\n21057 64475\n71586 89616\n36246 64275\n50074 68692\n2211 57776\n18434 20113\n20845 25328\n25693 70777\n17337 71093\n45250 85285\n32609 53889\n5802 69184\n41918 54176\n4043 14491\n36883 80395\n42247 65083\n3420 62469\n73290 89744\n20417 75378\n34358 44538\n43891 68850\n3213 76426\n41704 71549\n36760 62289\n43431 49168\n41942 42264\n17428 58056\n37322 40209\n61011 82638\n19387 39840\n51035 79917\n61405 90893\n14333 18812\n219 39913\n54783 56783\n3814 66276\n53770 83981\n2129 11612\n6756 15949\n4878 36619\n6388 50358\n34405 90990\n22533 34472\n53847 60841\n59063 61969\n7136 56856\n5812 77834\n43435 48219\n42903 67315\n35517 82765\n8165 68181\n27744 49575\n86766 88341\n16058 51663\n61943 82799\n1459 73507\n15086 57356\n23540 65160\n68626 79350\n69430 89746\n16187 27262\n50385 86229\n43303 46990\n65437 76708\n14706 64491\n22924 83354\n70884 88603\n60438 76496\n51636 87670\n22620 69144\n2356 30546\n34862 67190\n42543 61372\n1354 21246\n43225 80732\n83868 86067\n13784 64321\n16631 77300\n42085 62431\n3313 41295\n34819 92510\n4569 57056\n13140 88879\n33090 69542\n53799 73711\n62378 77003\n83903 92344\n77004 85233\n17585 31288\n33806 80389\n3101 43359\n5642 53544\n21409 76631\n40790 67641\n54461 84669\n44775 90092\n6139 88650\n4926 44584\n21930 48039\n72010 87283\n60226 83597\n34094 34715\n73734 91329\n51605 67810\n18338 65664\n12274 21846\n7801 8799\n19833 40908\n75599 92483\n60054 85468\n10010 57068\n5323 77509\n11046 74229\n37028 60419\n62665 80220\n7296 9560\n23679 26132\n59101 78359\n29476 75327\n52365 60424\n14950 36067\n5222 11856\n25878 58329\n39387 74860\n29086 43547\n6480 73748\n48486 49424\n8932 41194\n32048 67278\n41418 83984\n5086 23931\n3586 89406\n10025 69810\n54615 79197\n24263 67764\n39454 60494\n1635 29159\n64349 77296\n9134 61335\n40209 47464\n38979 48609\n1642 29633\n23592 72964\n52698 70416\n32717 57159\n30433 64701\n38954 92437\n23076 54466\n52034 67539\n26353 27781\n10858 80609\n43705 56841\n21905 84653\n5130 84613\n56388 65928\n33175 53285\n27902 64039\n24578 64646\n25771 88608\n31291 76031\n63435 87736\n17813 45639\n10426 71589\n63646 85404\n2944 81944\n370 21287\n81143 92283\n1989 15493\n21970 40355\n37183 54019\n5992 47075\n27186 64530\n61690 72296\n56753 83820\n13084 33512\n21337 86275\n54764 55796\n31691 39540\n2981 57398\n15444 46628\n21315 64092\n112 32107\n38735 80825\n10638 34861\n3270 79309\n15137 64610\n39387 52280\n41953 59576\n10728 73915\n52655 91388\n64408 74742\n44416 72884\n33300 58540\n29910 47705\n47411 72607\n89906 91146\n57170 70076\n8511 36170\n58244 81147\n6484 82680\n69371 76236\n81254 82592\n42596 61261\n70886 90565\n78126 80399\n47499 72162\n29283 81505\n19917 85844\n45816 60755\n44631 53395\n75450 79035\n7297 24130\n67664 85249\n21049 46495\n14694 52651\n35348 44522\n31705 53654\n51528 78858\n30136 88398\n5692 87374\n18053 87194\n31869 63557\n44154 60196\n13548 83465\n45023 52201\n15957 79285\n29717 59550\n16932 90884\n51177 51557\n32677 56274\n6489 40401\n42392 74447\n7722 19698\n29530 57621\n91713 92740\n39120 92712\n56190 85672\n84395 86688\n11655 27097\n18283 82826\n21508 89847\n50335 84771\n70133 85161\n50415 78433\n29212 42891\n40369 85876\n13506 17875\n57889 81769\n12674 90057\n32911 62587\n78967 89029\n28260 89232\n22545 60229\n32303 92479\n34055 40607\n10656 62021\n9906 61046\n63342 71895\n24491 29793\n28296 45663\n56355 67640\n55885 65989\n13026 26623\n73350 79922\n16610 44765\n1093 20930\n10981 68118\n29856 62859\n15023 79306\n11734 79180\n4290 17614\n1465 41050\n3107 29194\n59758 81001\n30931 64590\n29123 59234\n44846 84323\n11079 29643\n68448 74991\n5193 49142\n4674 24108\n1667 64966\n80915 81274\n21186 75629\n40787 64623\n44063 63953\n27626 51661\n40200 66243\n43054 91738\n28470 44493\n71879 80566\n76921 91907\n52474 91518\n16143 73393\n37783 75922\n39233 82063\n66102 76729\n30398 77090\n84011 91221\n28868 52440\n54684 65161\n11929 76947\n47892 89367\n16811 51069\n30952 61034\n42010 72161\n50013 82005\n238 70496\n31741 42292\n8732 58748\n20307 49234\n17314 41330\n45306 68023\n64971 69551\n1840 3700\n22885 92939\n23187 61356\n10743 91945\n12946 56440\n34704 47907\n24213 71633\n11211 81750\n3611 63093\n15326 18180\n7188 28867\n69704 93070\n61607 87036\n30111 67799\n32919 79171\n57402 66709\n70534 84432\n24222 79404\n36009 42335\n40362 70653\n12770 59414\n12123 49038\n7511 22618\n36085 46502\n24246 53117\n34484 51411\n5480 21262\n15141 58055\n45539 75056\n50185 74723\n30860 36126\n20015 77226\n26183 72059\n26023 79630\n6212 85697\n66712 67108\n52400 52794\n9118 39250\n52631 82485\n1669 90094\n1743 38257\n45925 52862\n61937 83136\n27374 69893\n24528 60895\n66755 77830\n46259 50305\n5978 63892\n25433 68813\n11222 38576\n148 32312\n70780 80362\n25287 33355\n17032 61194\n756 79354\n2840 20684\n3809 49276\n12333 50451\n38805 69981\n31716 54172\n13093 37807\n39267 62619\n79057 81779\n8189 34988\n50512 52640\n2780 37405\n13271 43112\n28834 52063\n15439 51475\n54412 56016\n21117 45036\n49851 63742\n18778 28948\n1142 9839\n39210 86929\n65173 66171\n17572 27248\n33202 55270\n6749 64984\n55950 57160\n46763 91381\n22710 62631\n3227 31137\n46123 55552\n27592 70293\n32113 34240\n2995 60416\n4014 44383\n23118 90262\n20944 38827\n1263 82628\n55007 79640\n75648 86195\n67793 84111\n21429 82718\n24179 72263\n59284 73586\n50627 75849\n70728 74184\n16116 30139\n17897 70186\n63702 76589\n17719 87938\n25686 33565\n5973 22295\n7048 46613\n51438 81575\n45957 84336\n30120 44976\n44699 79165\n62866 92737\n12196 63909\n64945 74841\n40614 56826\n5193 69348\n11927 45872\n55030 80335\n32309 39168\n7494 51999\n3230 79059\n8570 9272\n70908 89090\n8563 34291\n41597 65401\n2047 50613\n5122 64889\n21719 37686\n65275 66223\n34020 72767\n48847 60502\n43311 48284\n2605 65910\n11695 16079\n8815 55303\n17340 43762\n4423 39119\n74427 74581\n34812 66052\n32903 85616\n59985 74013\n18128 53218\n17066 31964\n36015 88826\n70273 87888\n39163 84495\n37957 71779\n11441 52574\n19417 32730\n1305 4654\n7229 76083\n36328 56583\n37747 41261\n60941 85094\n13231 83265\n8513 44872\n7495 85960\n66482 85340\n6959 47100\n50146 54239\n51707 70254\n16269 90806\n55001 75476\n11492 36457\n44339 86901\n36023 44202\n18352 50095\n36686 91295\n33283 73370\n58461 79665\n71504 81526\n13110 55314\n6702 28441\n34050 79049\n25799 70085\n10655 20773\n37120 49448\n17314 78726\n34397 43362\n9075 85525\n35482 62922\n22304 42752\n47331 65529\n51482 61940\n42601 65725\n41874 79459\n37711 52654\n5088 11381\n52136 61182\n11919 46331\n40664 42586\n21855 43828\n27268 71386\n15910 54406\n16749 45578\n13906 73442\n8408 31844\n7349 43452\n49561 66367\n66323 88265\n39323 48304\n11239 88697\n65257 76864\n1541 49330\n30575 75411\n25104 47020\n40324 78460\n28108 47960\n15525 55403\n50829 87409\n17940 38684\n1385 33047\n34574 71152\n82170 89724\n31764 83957\n15750 74923\n19031 89079\n11677 58222\n5417 51783\n28191 85970\n8079 20128\n6282 48706\n19970 89181\n76596 86319\n8803 49938\n10542 40512\n59225 75998\n39169 89321\n3365 76384\n39221 55270\n36156 49358\n28615 60669\n30025 71967\n12669 41804\n11595 69701\n51374 74907\n39864 82350\n24585 42609\n65737 87172\n52594 86068\n65187 81246\n68378 86849\n5276 13856\n4230 56978\n43617 61884\n56206 91234\n63096 71426\n43742 91707\n58892 68347\n7603 52217\n46348 88037\n55532 66351\n7553 49369\n91183 92524\n54050 54961\n70177 71418\n22465 66235\n45318 81875\n48877 75996\n20144 36249\n17849 74801\n21157 31132\n43456 86628\n65228 82582\n69361 73369\n42987 69154\n45637 57610\n1890 22572\n15873 18849\n13513 14506\n26436 62592\n5183 77239\n8330 15256\n62721 65641\n10305 84126\n38662 52189\n26074 51955\n25106 71139\n50642 89805\n10369 90636\n36892 79454\n35979 36134\n20943 33562\n28008 76421\n49322 54886\n4702 78535\n78405 92922\n49482 89201\n19741 26045\n44164 52707\n40119 90101\n7974 29125\n35352 47309\n61256 81400\n23100 54880\n37950 50614\n55720 60909\n39745 66913\n68421 82984\n4147 56372\n1268 75844\n66756 84579\n51195 90164\n27613 65637\n22020 47634\n29812 30661\n57127 65480\n16210 57694\n39893 56761\n4707 92040\n38463 76581\n9750 43117\n42894 72687\n21307 46960\n21707 67800\n28283 89091\n38316 76896\n1769 36793\n20453 86668\n27758 87356\n35509 90341\n37001 54753\n46517 90680\n13011 62063\n16571 31859\n38085 43856\n25256 51548\n32913 63196\n68772 68820\n30037 44871\n13996 16686\n8329 26431\n27726 30207\n44262 78414\n1821 75525\n44090 52695\n52887 84526\n9126 74894\n33002 61215\n7888 87425\n6958 82974\n31596 47840\n38955 85257\n52072 62904\n16416 70387\n4501 77796\n42592 93128\n2470 10094\n40454 91799\n31873 74206\n11616 28740\n22420 31275\n3304 62833\n28340 63059\n28517 87428\n56351 87899\n28886 90693\n39644 73338\n12793 85264\n4554 33534\n32091 58666\n19415 47732\n70067 82093\n79676 81660\n48599 67576\n32160 90187\n5818 79603\n47093 83402\n67592 72307\n22728 28547\n58684 65278\n49336 86760\n10857 89767\n9222 65687\n20504 36029\n4577 43872\n48000 67623\n1087 5865\n19347 26740\n57708 89041\n41335 92569\n47149 91145\n16138 56841\n6626 43573\n5832 80615\n31245 62994\n7042 37982\n45317 90427\n36961 58211\n6980 35883\n25200 30571\n10306 42308\n53998 61728\n51426 80725\n29986 56816\n6011 58983\n25114 82286\n20558 23244\n17675 61739\n9828 90965\n37991 77281\n7890 32826\n43245 85431\n34734 78474\n73276 83325\n19977 34778\n5023 79124\n14997 51426\n64450 88063\n21461 46563\n42287 84252\n2935 17854\n4468 59105\n57805 85296\n48818 92398\n49125 62642\n6100 74948\n17981 92389\n35840 90673\n73388 79638\n48813 59949\n29218 30673\n35044 75502\n35196 90835\n20299 63144\n17243 84666\n7614 85276\n6496 35079\n7820 21533\n38258 86323\n26029 44401\n53723 86094\n16572 92561\n71240 81389\n47439 72926\n1815 16044\n61542 90841\n39188 75442\n26593 76554\n49425 67681\n4987 28704\n2331 39631\n6847 67652\n15443 69799\n10353 43008\n1207 34863\n71708 79256\n21888 86548\n57614 78387\n18170 77140\n39019 92103\n50009 88279\n39493 43585\n29009 92231\n37116 47879\n17158 71254\n77633 89404\n19738 29742\n1997 81966\n10231 44450\n47368 83953\n40552 76751\n1744 47124\n29256 29994\n75339 86000\n24717 31306\n18469 33330\n18742 25388\n13439 40023\n42185 52664\n38495 48742\n27191 91924\n8577 55815\n40305 43189\n43314 87495\n977 93154\n15798 80646\n3992 86435\n7854 85518\n92 81873\n64200 89769\n58166 84407\n77829 79048\n5067 54124\n5395 24716\n35861 64696\n40750 73997\n13176 57322\n46128 47330\n5518 27159\n1188 62244\n51497 76449\n63541 85658\n9424 79088\n2838 76599\n58434 75687\n5798 69558\n17918 46060\n16916 92550\n60957 70238\n51145 88513\n10199 87697\n4368 28266\n11658 51443\n67507 79196\n19303 59871\n34035 56196\n16022 90772\n5129 14517\n34843 77361\n30666 71992\n38299 48943\n20450 22175\n1695 29329\n56130 75706\n10308 59000\n60143 90221\n301 34817\n31911 92710\n21694 92445\n43326 47257\n9096 91104\n61635 81880\n58102 60330\n5079 89199\n29330 56135\n40373 45458\n63303 77534\n12301 24330\n28394 62743\n11107 44432\n18901 20352\n16048 41599\n52529 56851\n58672 80149\n37951 76759\n29675 37712\n46886 91478\n24118 26740\n82949 92314\n32130 84699\n6103 64597\n12816 65832\n6819 48322\n3907 38757\n32760 58064\n5718 39983\n65832 75271\n48578 54711\n21512 64608\n5793 77243\n25291 55143\n1511 63245\n54239 68361\n18047 57875\n12270 39940\n73757 89828\n20641 85405\n34150 39795\n22830 31053\n19700 48901\n4329 82227\n8464 80473\n21628 44512\n14337 39326\n13509 76326\n23044 30366\n27538 88403\n62412 70543\n41297 54891\n805 14820\n54202 60151\n27457 42479\n7183 77013\n27898 45237\n6425 90363\n5518 61901\n10492 37591\n9638 53171\n50078 81518\n33869 69488\n1089 27725\n2099 32201\n62620 85328\n39046 66855\n41553 76731\n56106 86792\n36251 65594\n1498 45637\n28899 45340\n1948 16455\n34752 75427\n52997 83402\n4789 39112\n20259 36322\n6764 85095\n54604 80871\n28993 81078\n70735 88219\n16076 88695\n3019 80997\n77891 78616\n56259 82293\n7497 32148\n28981 83909\n86702 89551\n7198 91276\n17110 85295\n50934 73785\n29103 31424\n24693 47092\n44195 49406\n20567 23283\n54749 85961\n7603 26733\n36392 75838\n43597 74755\n40433 43627\n60239 91521\n7100 18065\n2197 24694\n8145 47839\n7845 57596\n49396 91177\n72730 92983\n18940 66136\n81005 90254\n45994 60463\n27460 86457\n25175 55912\n10947 65661\n51517 83420\n16784 61082\n42086 75334\n3372 74546\n62065 71455\n40396 78085\n28962 43880\n27057 58594\n15438 62181\n27109 86648\n62848 71520\n69594 78222\n29174 85158\n25946 92033\n53223 64259\n14208 70693\n80453 90182\n6820 60201\n13715 79045\n13643 50836\n21729 87205\n60365 71579\n38874 84027\n60697 73293\n61952 71206\n70535 82893\n56052 81657\n18203 32948\n45361 87199\n24372 83035\n9560 11573\n18761 27565\n44487 63125\n59635 75827\n13656 52801\n18745 43624\n56795 80520\n55369 79619\n81350 86189\n28371 87231\n40675 82942\n1167 8269\n7825 71827\n17441 57149\n21459 80833\n48214 74997\n34939 72744\n1935 3076\n86889 91575\n77630 90155\n33099 79420\n3253 54197\n29291 70519\n13114 56019\n15327 24545\n40588 50754\n50019 77711\n54490 56096\n38253 43070\n39234 85540\n62842 92657\n29029 46906\n19771 23771\n6189 40326\n16750 25095\n49076 65800\n58729 88955\n5648 58194\n27050 60003\n187 3800\n31691 91560\n14919 44175\n36718 71238\n40190 49620\n13000 44184\n42957 54080\n16959 29279\n26380 30274\n62683 72598\n25579 91808\n38437 74811\n1589 8042\n50382 53570\n21638 46525\n55263 76678\n51724 52627\n3960 39094\n33406 38388\n30894 70033\n16119 19444\n19154 69556\n58203 77086\n38031 71076\n5582 30143\n71902 78822\n21341 70150\n86671 88471\n7551 83011\n8671 87117\n563 7978\n2802 16279\n13947 91587\n265 25526\n1790 31360\n38116 86219\n44860 62451\n31614 71634\n57439 85713\n16837 56978\n74946 78621\n50583 64130\n27625 39798\n72888 89715\n4151 66799\n15171 88506\n34980 36625\n20976 82582\n11246 70560\n21852 88444\n19238 71069\n18989 81487\n6487 16449\n13530 71566\n63356 82606\n9450 60525\n16525 43779\n61142 67586\n32812 52336\n25138 63480\n7823 32210\n33376 38914\n56302 79461\n40955 55876\n24400 64741\n49842 50562\n65913 69235\n44778 72086\n17540 36710\n8090 34168\n81100 91551\n46660 58429\n7538 82272\n14752 50939\n38814 67196\n9127 73163\n21716 39512\n16710 91434\n6200 81138\n7482 57023\n13774 47992\n23223 65392\n53121 53580\n2197 42516\n26516 39158\n2190 29766\n37155 74073\n71482 87669\n5015 38672\n662 74295\n26997 58548\n11626 79836\n74164 83452\n2614 29058\n36884 76386\n49667 78653\n249 34947\n36821 47399\n25993 40265\n29380 88241\n2158 24012\n43687 55220\n51023 87457\n22603 43757\n14849 47569\n46623 51695\n3440 69059\n84199 87312\n37846 40410\n8702 49720\n5012 85571\n12394 32116\n14164 43629\n47371 52002\n18139 64368\n22149 67311\n54275 67667\n74888 88222\n23005 59595\n21242 34486\n3186 32055\n47544 78510\n40970 80537\n26405 48973\n2066 36625\n19558 75866\n58557 79205\n29036 58983\n31387 43433\n72698 75115\n2386 19477\n16320 38997\n61838 91436\n51885 63820\n61639 71046\n15558 89641\n29363 60610\n5296 22986\n21007 68607\n44438 67453\n36923 50456\n68441 90015\n11431 75174\n11515 55789\n11948 49211\n25185 82264\n24210 50960\n22951 56254\n73457 76889\n56008 84239\n12919 50208\n69759 91334\n41991 79750\n58427 88755\n40796 66108\n52238 55201\n19318 88921\n27610 52881\n1935 16163\n386 48326\n33965 34144\n11643 81391\n3619 62077\n45882 84450\n20758 91462\n69707 78055\n51009 60022\n6070 58754\n30465 87426\n66722 75470\n9419 86993\n49243 70871\n2383 12699\n39398 62478\n13131 57362\n53334 68389\n41946 67784\n8595 38558\n40639 42232\n27719 35156\n41835 58300\n73758 82507\n14805 27270\n6300 45978\n61412 70464\n30960 92771\n28791 76226\n15217 53587\n48033 53959\n35432 78497\n42481 63749\n15065 25788\n75648 89973\n25530 47588\n64089 75117\n33703 63317\n5962 67742\n67676 71205\n30797 36211\n29390 49731\n31313 41261\n75795 76709\n6885 45896\n13711 82886\n66165 76819\n4955 52192\n72828 90938\n3745 29703\n25168 58813\n33913 90348\n11313 83563\n46554 80709\n56197 77326\n31830 89643\n54469 67821\n12870 22004\n56161 71806\n12431 62326\n37125 53761\n14537 56446\n6999 16936\n39194 78240\n68565 90541\n51120 58049\n51141 63501\n53194 60596\n7665 33346\n23221 23953\n26056 38134\n28462 53107\n30072 71468\n22731 74153\n18375 32550\n11154 60048\n42797 64714\n35240 81434\n18714 33403\n72647 90064\n29778 78426\n11244 84747\n15558 41182\n33623 73549\n48295 81372\n61090 77409\n27586 70713\n6048 27349\n23708 32831\n147 39336\n18137 92347\n31959 82254\n46154 82573\n16883 25585\n10861 15891\n66068 81333\n16931 92559\n78527 81935\n16875 59947\n44706 51064\n69037 91522\n35798 90802\n2427 27897\n29403 58797\n19784 83993\n58521 74021\n80524 85022\n22118 35919\n6046 28725\n34923 63222\n50302 89987\n4515 88107\n66779 84888\n1056 34306\n58463 84977\n50334 86572\n7437 23451\n30203 72962\n51785 79043\n11771 69514\n21516 38542\n23671 80948\n60293 71680\n19570 26465\n35542 68560\n67085 74677\n53883 88384\n5377 11003\n16496 59750\n4250 50259\n82203 82252\n22466 69872\n28110 41071\n15823 67048\n3999 58003\n61949 78650\n72117 77964\n12302 57715\n61969 69942\n43097 83078\n25300 49347\n12024 91767\n6578 63000\n53221 75877\n3768 81924\n32786 73432\n50251 61992\n52702 87244\n18044 41405\n79233 80021\n18313 88695\n28604 39288\n23697 65202\n24441 77238\n9746 44685\n10400 58405\n7525 10141\n12298 24244\n35444 63609\n23416 66444\n14126 46807\n55161 83642\n40101 83427\n48851 89349\n25835 41301\n85818 87998\n6459 68314\n15158 81492\n24733 89516\n76008 78173\n17260 64273\n14989 71963\n26852 66992\n23688 85380\n43668 76221\n41571 86740\n57060 91416\n6732 85367\n48208 64861\n517 4734\n55676 79234\n45668 91461\n20745 32539\n37590 71181\n75822 80633\n44131 61567\n33440 57473\n43747 71827\n8814 85623\n15230 58090\n47716 77085\n35459 52384\n59562 69642\n41266 84675\n40089 86096\n33523 52242\n34305 65993\n24719 90057\n4699 62590\n36024 77315\n5894 50005\n33438 81252\n73598 92293\n70117 88037\n16838 70165\n7353 66370\n33901 86394\n3173 27365\n69179 74966\n49511 55754\n11657 59869\n62810 85909\n41957 51227\n62899 89338\n71757 88270\n2156 51609\n60173 62347\n63029 84290\n10765 17035\n27647 28439\n64462 86954\n61089 62388\n16696 21274\n10996 84353\n40416 91539\n18818 55208\n6398 15723\n5084 59123\n21393 25202\n55752 56286\n4524 67786\n2386 78918\n51495 75378\n6257 85435\n7038 24322\n36319 46400\n7679 46621\n62849 79334\n76028 78034\n20039 84414\n5365 32926\n10435 46486\n35578 63186\n10100 29465\n14448 23768\n5472 90042\n35719 88419\n5253 71936\n52157 64457\n14683 38045\n71867 91585\n25174 90494\n16197 34109\n2051 83723\n21486 77856\n5762 75287\n50733 56213\n30277 57956\n36200 49938\n54182 82024\n8167 76972\n11862 24293\n35241 58757\n61757 69311\n67772 76215\n30767 36739\n25829 51526\n4851 44697\n52388 59202\n445 47141\n47357 83466\n23109 52542\n6510 9303\n49173 61280\n46825 51912\n53928 83079\n55666 63775\n36612 50089\n6068 11693\n29044 70001\n18645 22768\n83850 89094\n39599 68567\n28015 45925\n13219 15628\n48207 59204\n14658 15158\n41452 66367\n11897 91316\n26296 81408\n34690 40823\n20835 81440\n7755 11484\n35537 52304\n23027 42528\n8046 8692\n20690 77637\n60215 76407\n43662 71556\n30386 74649\n2874 37576\n47232 71699\n415 10954\n52293 73145\n13290 57615\n16763 71999\n2762 76684\n47034 88992\n26178 64201\n54790 88397\n53816 82750\n34115 87966\n7728 12424\n21480 25744\n33619 36491\n7337 35186\n28373 29378\n28045 54457\n13372 51931\n25236 44562\n20725 88837\n56118 63553\n33414 44757\n25620 78493\n53986 57549\n20924 68290\n5594 6282\n47980 68955\n894 18284\n8732 90160\n34543 53198\n37082 50025\n25262 76396\n11648 21414\n38431 48377\n14157 14817\n17113 78279\n34637 53707\n4147 27021\n15109 78030\n34320 89760\n61563 86884\n81384 92835\n40767 91789\n59762 66880\n44835 74728\n81475 82731\n18248 68758\n55777 92545\n8897 67445\n28607 50894\n55956 68914\n53508 54345\n76445 87712\n44318 88971\n11440 56719\n38388 39976\n12892 25268\n27320 33312\n30380 88540\n55115 88571\n16491 49828\n41147 53419\n28254 46879\n166 10487\n17249 92561\n6779 35908\n44477 76336\n1531 18909\n24823 39375\n28599 34013\n11956 76964\n35036 62706\n45095 55411\n9394 13346\n25959 73949\n17494 40518\n80161 83428\n22627 50343\n53755 54402\n29519 84837\n57728 80755\n33408 44225\n1433 81926\n69225 76682\n6471 29873\n554 80796\n31485 41925\n11182 92137\n12351 25711\n29371 51943\n61234 63002\n25957 37261\n11393 30703\n9765 79737\n14623 79652\n74844 81430\n54850 62312\n73881 90258\n36377 46954\n25002 60364\n49144 61015\n31562 57917\n34454 67585\n12333 27653\n40667 40877\n13801 64469\n68249 88219\n42517 75390\n19657 87420\n16586 27789\n16380 37704\n15021 35000\n62140 69132\n39269 91075\n1391 46285\n14177 56253\n26424 64506\n37606 72081\n28005 73628\n10757 42224\n1018 80334\n15591 27351\n45065 87160\n68348 73732\n6613 78059\n51692 57871\n17376 62680\n2798 82258\n22003 83768\n2621 43011\n46823 76543\n15713 27754\n30912 58682\n6380 62207\n649 89810\n28981 89293\n58464 66519\n7631 56637\n27380 36503\n2227 63718\n6502 57400\n55342 76454\n25495 44130\n37520 66928\n6214 29081\n35450 92786\n50144 83897\n29153 60221\n44794 87485\n18112 62941\n63213 88751\n28855 36710\n1501 69185\n36263 48832\n36058 65480\n15274 50874\n34687 67178\n38806 91259\n30426 34519\n65303 70960\n14404 52010\n412 9027\n3528 34877\n16835 89720\n4002 69625\n34811 90431\n27468 31309\n24495 35948\n49233 51620\n22463 63801\n46908 66557\n37251 54327\n25915 49602\n26389 31981\n33939 48532\n46520 66777\n46278 70546\n181 63933\n21845 50358\n31704 92083\n43776 75513\n61771 87202\n80930 86919\n41913 54880\n14835 21536\n16458 80301\n27644 76373\n9422 63515\n9985 31924\n83440 84758\n48668 83563\n4445 90743\n40025 67309\n28443 75636\n35196 89706\n29895 45411\n46666 69399\n6617 23627\n28362 92101\n46845 46927\n37673 38846\n61524 75943\n5248 30938\n63553 83792\n46602 60041\n997 49313\n64050 64215\n32791 67352\n27013 36054\n29107 47031\n15756 31221\n60222 66544\n3532 54391\n6602 83052\n61961 87777\n26211 26237\n34763 43511\n29932 82464\n30384 67392\n16010 70952\n17448 91539\n69300 86131\n21788 22511\n49274 62001\n3725 18765\n11276 48031\n24556 81486\n8239 91377\n65358 88004\n17732 76721\n27057 67534\n4638 57203\n28524 45955\n11484 88435\n51566 56717\n23833 31489\n10336 29019\n25801 60305\n23777 84184\n20099 26050\n46024 78988\n6343 62989\n32945 47438\n4403 63641\n26934 60676\n18464 87773\n43613 91754\n32083 77879\n40756 51248\n66367 84407\n10281 59241\n39839 92277\n15520 48881\n27891 73299\n17786 47909\n28238 46290\n15074 79035\n26078 78422\n17055 61145\n70877 91115\n1235 22810\n43688 80384\n54403 91026\n9472 11328\n45948 75868\n20306 78360\n17349 81530\n8734 78282\n9604 85786\n6964 82654\n41881 70610\n22676 29623\n62471 70498\n86077 88066\n13381 68007\n42402 59698\n37557 45570\n18818 59982\n28853 52321\n28068 63307\n79166 92318\n31527 49890\n36101 71045\n66407 88018\n52292 54285\n13371 53507\n5280 78602\n33020 47183\n75574 80705\n11671 13611\n2241 23530\n24530 92762\n3451 14271\n8565 21735\n17769 62544\n64191 85341\n13822 58602\n16913 46331\n18994 21733\n73945 74062\n21254 27183\n56256 62079\n2245 41545\n21945 64564\n72229 73722\n28027 62035\n53741 60322\n5855 18361\n25562 50106\n489 37867\n33138 58061\n19269 79058\n44202 92167\n66130 74604\n48694 70199\n14088 54140\n72383 80295\n18803 79926\n7030 37619\n54417 77198\n3078 80423\n12847 77675\n20583 83010\n36126 91494\n24264 28701\n17632 32330\n30524 71111\n52442 85924\n23261 43052\n6376 13727\n48041 89918\n45564 85981\n4425 33365\n27307 59480\n1097 3138\n3422 19979\n4746 18929\n82080 92699\n60913 81007\n74087 92169\n1218 89861\n22327 37484\n48541 74630\n41286 54120\n65624 89755\n13225 35596\n12693 12872\n59195 77744\n66542 76901\n29991 58108\n21884 75490\n54914 87344\n15166 69943\n8956 65785\n4186 90177\n7204 9741\n6249 82445\n13727 23072\n42370 63724\n20709 69818\n8142 13155\n26009 48747\n19679 27438\n30534 68448\n52577 77747\n14841 79142\n28074 55518\n63000 65950\n29796 67696\n38443 42003\n20447 48459\n35454 85603\n562 44368\n47743 57922\n43468 50496\n11525 43015\n18752 44301\n25216 53204\n68737 71465\n20160 73677\n10688 73255\n52767 68514\n80046 84899\n33880 66654\n31158 37580\n27976 70377\n61111 88475\n12665 13639\n6636 7682\n9745 41778\n29399 48655\n35963 74837\n11233 36666\n76709 81884\n31709 67718\n12256 49688\n16879 74594\n58554 81154\n27284 60122\n19770 77766\n42 81218\n38282 67373\n29873 54051\n49910 72742\n2435 10220\n11232 80945\n33792 42217\n17381 60198\n19786 59431\n3206 82394\n52133 70027\n42483 45345\n68674 84993\n24891 25054\n24591 44374\n14340 38123\n18957 67209\n14653 80734\n56787 90982\n57014 58461\n35542 81394\n28365 78948\n13144 76941\n72315 78471\n6606 15155\n8187 60407\n25653 44318\n26321 83537\n28486 62238\n11447 29569\n75008 85349\n26703 57694\n44228 75288\n75733 87086\n26436 90184\n68885 87467\n48840 59794\n72403 78116\n24384 34546\n41464 77790\n38597 75329\n26895 66376\n35154 90956\n13001 65404\n54865 62999\n36416 82302\n65774 87573\n4248 32995\n53040 55901\n41764 58709\n60812 86876\n51841 66069\n29674 35003\n25925 30430\n9803 34006\n2571 65144\n70170 74582\n8354 58365\n23369 54773\n16009 49994\n76980 91025\n46088 50192\n10029 56048\n71876 75040\n52611 93142\n41003 53975\n9863 24678\n15565 86803\n33415 49559\n14072 86064\n10478 67692\n12054 25732\n6512 39360\n13050 38233\n17411 79502\n17096 18897\n17544 80924\n13969 79174\n77087 92151\n11935 40602\n27241 49945\n31511 78342\n53839 78313\n7102 15808\n46559 52634\n4296 47710\n55757 76157\n12328 17127\n54211 68774\n26228 58965\n33474 73350\n47903 69584\n33255 42313\n13930 64991\n26655 35498\n4449 38937\n36723 79132\n2731 56842\n51041 68267\n58600 62418\n34611 58423\n38724 60404\n10533 73231\n26261 38721\n6846 19336\n18734 43321\n34828 60458\n18759 86709\n1258 88324\n17255 35266\n56875 80259\n62327 69472\n64659 76431\n34947 42885\n30783 91623\n35922 53479\n15941 42763\n6128 72981\n26106 26875\n1922 43276\n36519 39754\n43229 79434\n3546 80826\n71380 80993\n9107 14966\n44014 50706\n8227 38090\n32510 48212\n11400 60772\n24566 40190\n25766 77389\n42645 65528\n19079 56938\n46674 69563\n4816 47925\n53873 61470\n20234 23864\n82739 92158\n18656 51775\n35325 47472\n6644 74946\n18129 20881\n43451 87436\n17624 84347\n23670 67030\n19312 48151\n64267 76677\n37043 77165\n44139 84607\n15993 71964\n29554 42466\n86049 90676\n10468 34492\n3262 27302\n2487 76404\n31849 92609\n50867 57363\n27540 82908\n26785 28224\n447 66006\n51419 67504\n11003 71285\n828 80219\n28860 39888\n23718 88767\n77688 91745\n28224 54967\n71100 75775\n17969 24179\n55027 67460\n45416 56201\n69056 90375\n16948 34788\n10635 26392\n68559 92449\n52315 91810\n22748 71656\n36018 41310\n32820 59213\n22537 52536\n10501 31584\n3510 62786\n16665 72775\n37201 88244\n12202 32707\n9903 84891\n33051 71892\n6923 34977\n51193 58427\n44050 68335\n2120 83428\n27697 81934\n29245 76330\n28756 44816\n18805 78838\n2583 63895\n51028 75836\n34630 66479\n40692 57163\n10447 43268\n35531 43410\n38211 39606\n14283 29842\n40210 52886\n76956 80405\n45473 80693\n26845 32621\n1772 71404\n69017 69588\n8441 8586\n218 29537\n72022 78828\n16546 18618\n41457 92813\n15236 42740\n18601 80663\n71262 76294\n11047 51303\n80125 84589\n5487 6094\n3371 63174\n97 87553\n16842 47483\n31534 47366\n7306 42014\n3965 70337\n32838 84248\n5427 8634\n15050 30334\n10241 35725\n16147 76633\n54744 65160\n46752 64510\n26887 89680\n57961 71408\n22887 59137\n5723 39435\n31022 46045\n20931 39985\n12787 58051\n39146 75792\n27367 34627\n6790 54432\n35888 68492\n14497 84221\n12606 77988\n39249 59503\n12759 75130\n17492 20823\n78010 89638\n20164 50182\n88404 89938\n47436 90826\n27475 39203\n62306 62894\n35006 36925\n30407 78077\n55209 67776\n3343 89528\n31208 70116\n56072 64508\n32184 74744\n19702 20245\n60071 81450\n10838 79348\n16604 58781\n47511 55330\n40124 85275\n6419 30218\n65551 75870\n40776 85605\n50765 55954\n18747 52613\n19108 57822\n72834 87532\n37976 52873\n43003 71600\n15799 20297\n38485 85008\n46158 61549\n46192 53486\n29188 73999\n17918 59460\n17162 62206\n5175 58943\n11114 23186\n62312 83270\n23133 58985\n17379 41040\n44045 79565\n7904 21020\n11384 20501\n53646 56919\n21706 81829\n34058 78526\n48091 60919\n81381 85558\n76527 88247\n26290 90222\n1748 85105\n40138 54111\n36403 66362\n18657 35583\n21960 57017\n52427 65346\n4929 23420\n22993 87729\n1880 28160\n10952 68263\n79905 88479\n9641 47247\n5108 92651\n82362 92528\n38904 61857\n29282 47568\n47055 50485\n14399 90935\n13194 63385\n58507 90036\n1069 8724\n49088 80857\n16007 93038\n14131 81779\n8766 92249\n39881 43854\n80920 86724\n87707 89822\n27501 46958\n2026 75059\n14503 33356\n25246 91225\n34871 42070\n55413 67969\n1625 82928\n42856 44894\n53020 92080\n11224 23493\n53641 92575\n35080 52492\n44172 77846\n40799 62745\n35438 59664\n53307 77863\n19023 50578\n6933 27937\n2904 76579\n3159 20689\n4250 72902\n29125 40666\n5737 76519\n53525 70192\n12692 34927\n50025 74300\n61200 76141\n18065 63041\n41461 58042\n10821 58052\n10466 77796\n43187 67767\n52218 67756\n67527 80695\n7342 11760\n69550 76838\n6094 9035\n22141 77452\n53439 63570\n63846 76692\n1527 46794\n11451 87516\n48607 49953\n10640 74486\n12943 16413\n7720 55338\n4551 41599\n21438 47043\n3304 75671\n58028 91673\n31150 70280\n44759 68099\n4836 56582\n29538 41251\n41039 55968\n74921 90584\n52666 69792\n46651 78417\n7158 92056\n12886 85080\n86484 89457\n48371 73973\n42496 90333\n59901 85944\n8132 11415\n5997 7831\n70627 74296\n74991 79158\n31450 63371\n5244 60859\n31046 47725\n45688 62420\n8387 65336\n17823 43974\n51524 83163\n21215 80484\n15904 72304\n43743 46895\n39423 87609\n34872 53660\n14697 46149\n73950 90623\n12682 36318\n30313 38073\n38538 65056\n11363 16346\n43458 79798\n28258 32198\n6960 87906\n7400 46526\n12100 44301\n6691 15794\n20273 76807\n2320 6372\n7886 92772\n4160 56365\n54005 61265\n29594 77890\n6727 17394\n27000 41275\n7397 30021\n70308 76024\n40016 60454\n31475 58233\n25187 42421\n40497 59915\n70723 73643\n65343 78604\n19090 68742\n9538 63336\n40972 66946\n27489 40947\n1983 25164\n47146 61129\n43920 74830\n3169 30148\n37209 72874\n57984 92380\n13566 76034\n32757 46224\n30984 45102\n34863 48798\n10599 14325\n30703 91844\n21140 41581\n11687 13394\n39251 87769\n59499 68045\n17102 86654\n2343 28296\n14965 56764\n20067 58933\n10379 71231\n52834 63108\n52558 57955\n61708 92948\n9757 56074\n5413 27442\n65187 92090\n7554 36755\n10756 44580\n9359 80423\n7223 51706\n27171 88731\n4984 55987\n83283 85451\n78685 90577\n212 57546\n8708 24331\n5797 30915\n27348 90706\n54231 81090\n67509 78827\n47543 54875\n60596 80735\n45410 50627\n15860 67622\n72416 74983\n10846 92878\n24060 47642\n25863 86732\n32916 38149\n51007 77229\n31470 57720\n12557 49623\n18994 59471\n46940 92035\n42329 44331\n70612 74744\n11817 71764\n83197 87628\n87 46398\n36879 79695\n26820 69517\n7482 54699\n8766 61713\n741 9341\n23971 63191\n53144 60260\n45863 75665\n13097 85551\n68416 87688\n9447 37347\n11486 90637\n14190 28071\n36407 50520\n71658 81171\n18608 59611\n40777 60954\n53585 89600\n25122 79799\n42315 44694\n45096 48565\n28358 54311\n55382 81066\n65136 76776\n31134 71551\n14392 41654\n47589 68946\n27153 65567\n31492 33671\n3602 59343\n36367 64080\n46517 53284\n35671 47550\n16528 26783\n8317 66820\n57987 86813\n1895 8531\n10883 66777\n30532 45832\n10758 17344\n80927 92723\n46706 57875\n24111 82651\n11748 57322\n26353 35745\n398 31113\n76843 78748\n29658 75955\n13011 52750\n13032 39274\n15586 31199\n37257 37728\n56405 67233\n23351 58809\n19427 62891\n9533 26034\n44104 68216\n36421 50329\n30816 67003\n48352 91477\n20947 91766\n56805 67765\n50282 55264\n18738 42981\n6764 48798\n7296 10018\n13222 89130\n1341 3059\n30627 50826\n2633 20356\n10752 49716\n6864 63394\n69903 76953\n41027 89601\n60001 89948\n29346 66224\n72325 74002\n25668 58739\n59403 84658\n32920 40729\n17879 84763\n66387 91027\n13046 23151\n31317 52164\n59055 74749\n21061 86641\n73125 75309\n57165 88527\n34373 49492\n3744 83716\n52752 90976\n49829 71607\n24218 49389\n62922 88005\n48288 79430\n17358 30706\n23490 45723\n35274 55145\n7969 63134\n15577 24489\n2832 91611\n15050 58877\n57683 79653\n8939 9186\n4892 45284\n49050 87909\n11204 31704\n53058 63528\n64563 75656\n58291 83555\n36362 57121\n45857 62937\n26567 59858\n29858 40272\n10960 66004\n1081 83815\n9082 81244\n74987 86513\n24210 64917\n18027 55528\n59614 62151\n30405 62419\n52118 62847\n22995 41490\n65198 67654\n11119 48830\n5702 66068\n36111 76182\n18257 36237\n22660 89103\n43509 81943\n42969 44685\n9279 11032\n2731 30149\n43815 45743\n71302 86545\n33637 78752\n45536 88991\n4059 56251\n14888 22133\n63534 72659\n45817 51088\n8860 72684\n20800 22082\n16700 43943\n42587 70574\n36091 82633\n14457 56749\n19918 81249\n19081 91502\n18443 20262\n54972 84428\n49965 59564\n71995 89502\n40068 84531\n47339 84316\n43385 58685\n50493 53645\n26224 87305\n13837 53373\n23657 67630\n41508 63815\n26271 27151\n64767 86692\n56013 60690\n37628 82662\n29954 69997\n2659 76829\n33898 40624\n36155 89374\n16302 45001\n38075 58398\n39264 86208\n16020 37383\n7872 67434\n48806 81057\n40216 66709\n16757 33284\n10266 28637\n19027 33246\n29374 49362\n38067 60170\n17252 68513\n56068 68718\n68951 81508\n44675 46463\n35896 91342\n31104 51091\n2307 53223\n20984 23641\n22636 53139\n41670 83240\n903 39031\n49057 55919\n7987 25222\n42020 57198\n80107 87263\n65150 83181\n28710 82929\n9089 36381\n65628 76662\n21259 90479\n64027 85204\n30546 73930\n20584 68570\n57626 85586\n15209 59737\n41181 52671\n63995 82944\n16799 36419\n18163 37272\n17567 58301\n14254 52156\n81851 88278\n20148 78677\n24761 36974\n7241 8251\n18158 83593\n8364 24007\n23467 88692\n79928 86723\n2808 29544\n11169 66412\n30609 85841\n3142 32599\n3762 9529\n6593 65392\n68201 92936\n20275 84074\n46450 91409\n9615 23697\n58327 62284\n26483 30501\n56536 83507\n70259 78650\n23751 40450\n35420 64963\n2705 34490\n26556 46801\n57217 72301\n11636 43303\n12638 90753\n14939 47566\n8606 53578\n42910 70829\n29141 69189\n30498 65813\n43534 54505\n16355 25351\n53995 70302\n8001 23139\n34623 73680\n53635 56330\n41663 44352\n60777 78514\n13154 57052\n86187 91239\n18119 32662\n8284 54204\n64740 79483\n83363 92371\n1646 21811\n43177 62425\n58863 90421\n41472 87437\n24764 43128\n39013 90284\n8356 60712\n61598 90235\n31096 33049\n56501 79390\n42328 76496\n33442 42635\n19448 37103\n9626 34317\n13957 79810\n20875 53306\n28517 57166\n66017 72079\n80427 92803\n60910 84336\n5038 35841\n33003 56887\n15091 68930\n1286 51668\n38030 61049\n14437 37587\n6948 55426\n59691 87482\n8067 48389\n24849 25795\n4348 48078\n40088 69327\n25332 71071\n33018 74435\n50483 57279\n9756 56161\n59789 92102\n60392 85294\n19477 80790\n14869 59031\n27564 55113\n2487 68807\n64505 92893\n9206 12298\n21030 27835\n40650 50926\n47778 83402\n25083 65481\n49853 92918\n59948 82851\n23460 69387\n73780 87085\n34151 65310\n17742 86039\n54638 91593\n34435 70462\n68597 87385\n19233 26217\n40672 71691\n35633 54423\n36255 58705\n65334 69372\n30856 72567\n513 34206\n5487 43074\n7945 13307\n8258 31449\n21056 49994\n28213 55964\n38336 86788\n1448 12562\n16283 92804\n3023 23222\n18197 19563\n18122 83666\n15309 76107\n7989 36631\n38230 77360\n44738 92557\n42294 57919\n32211 92474\n42519 81825\n24191 35268\n25437 61078\n19453 30993\n66096 87161\n52898 65155\n66291 66563\n77408 83331\n67159 89458\n40536 62886\n54590 73042\n21956 70997\n14772 84234\n24599 32820\n6529 51918\n32231 34543\n31018 49964\n21139 80884\n69416 80270\n50269 88119\n5654 45113\n6364 35325\n32049 49732\n5131 78830\n66251 69978\n65049 83529\n537 13054\n7720 56287\n20149 70822\n29361 74242\n15487 42104\n6739 43999\n87925 90227\n1641 4818\n69252 86114\n53880 83218\n4197 77066\n77721 89508\n70400 75741\n4987 33054\n56758 73033\n7803 21039\n39795 60731\n62772 88718\n10758 24978\n51642 75633\n4253 18809\n27760 49675\n50490 84307\n29483 64871\n1034 46365\n18515 74177\n27919 42951\n2312 90475\n39710 77276\n5329 36201\n3450 77609\n63902 71474\n11569 76574\n38895 66463\n48968 65648\n45019 60898\n8526 53232\n43456 52519\n20779 63832\n26117 66531\n11563 14131\n33054 93000\n21363 25865\n41628 64485\n8064 59987\n76506 79502\n767 59417\n49402 49649\n9358 70993\n25019 58532\n8392 82263\n4429 14392\n23540 81448\n60381 65245\n32099 48034\n14679 66589\n22435 24507\n5560 14480\n8283 58916\n362 53571\n73487 80577\n15893 33829\n13553 40758\n12018 80530\n102 46005\n53532 72157\n23580 92786\n24317 43411\n33999 82870\n20541 27951\n21802 64545\n57931 93095\n15194 58227\n6653 23907\n25845 70055\n11091 20405\n26716 70076\n12343 82891\n54404 59202\n7654 51675\n83166 92232\n63863 80183\n69157 78418\n26841 53141\n59921 63420\n49020 53309\n29536 30739\n653 8191\n15839 40766\n24171 44589\n82607 85730\n58594 59823\n43491 45703\n2484 21947\n4563 35846\n62276 78845\n8269 46401\n58874 82295\n15281 34309\n14598 70040\n1870 83061\n11510 77758\n33734 67156\n31651 84168\n83627 88591\n45495 64272\n15002 35717\n21198 79103\n47524 69239\n60813 71428\n72705 76435\n37809 74338\n3183 79144\n86477 89575\n46078 71463\n58542 67680\n32257 62095\n14627 33662\n4043 33362\n57733 66339\n10 4474\n41599 71297\n20555 24182\n78559 85746\n52295 55041\n58837 87219\n74451 86465\n41005 55465\n36369 44246\n9402 52285\n41670 76002\n9085 53119\n46870 52411\n20803 44309\n18763 86500\n28446 87384\n34939 92346\n7665 17810\n25467 46965\n56138 60747\n65590 68950\n13403 41110\n19730 34420\n23542 71830\n12959 16790\n25567 43828\n59219 64051\n50849 80344\n71382 78812\n24576 28795\n9895 89524\n54468 62120\n39684 44062\n72188 78172\n55918 62815\n15304 34092\n9932 21512\n50034 65519\n10002 24744\n24464 70820\n57025 74318\n15914 42827\n55124 79150\n24976 81660\n56234 84501\n26940 92856\n3654 20071\n58236 69435\n82146 83411\n42731 85214\n80402 83380\n14578 78112\n28760 36991\n6764 62736\n27034 74526\n48268 48828\n12734 44513\n2888 62840\n29954 40352\n87070 92753\n33081 56731\n5983 82691\n11620 67329\n67029 83303\n17636 62257\n35439 72514\n37196 78016\n17455 83327\n15847 41974\n11596 88866\n2534 4109\n42191 58833\n1261 48617\n18131 33593\n970 48117\n601 70600\n2666 59012\n29641 53672\n48718 62570\n39617 67102\n16346 56218\n8514 75598\n16415 20634\n12502 55995\n8558 89239\n15670 30861\n8528 90800\n32824 69194\n45857 48802\n34324 71667\n28876 93146\n21951 34574\n36273 45211\n30852 82166\n25528 36920\n6927 32970\n52599 69636\n39292 83202\n44607 44969\n40528 79497\n11081 74607\n36058 68613\n487 25972\n63461 84988\n22846 82248\n5138 31160\n31680 48772\n15885 31859\n25833 55995\n7131 45070\n19124 87878\n14160 42431\n35749 79168\n23837 72851\n28233 69393\n61728 82311\n11384 83176\n30138 77756\n29154 58506\n3345 78068\n38199 40382\n5514 88290\n27005 41878\n1251 29666\n52734 84103\n28557 92650\n9250 43692\n8679 23209\n31573 33321\n6995 88221\n68570 90633\n28523 63449\n17146 75036\n14844 53715\n38660 75896\n20788 88616\n38883 79329\n6984 27890\n1972 14781\n9089 18633\n59183 68945\n8294 50904\n34979 84755\n12739 61549\n8363 85925\n3704 33036\n32247 61963\n58501 64676\n6279 77362\n66442 83934\n44076 46657\n9105 61232\n5418 55632\n37512 89228\n50769 58444\n37335 39333\n7158 31480\n17495 24033\n39763 85834\n5621 83057\n38182 54628\n3145 3296\n21145 80716\n64160 75196\n3303 74063\n28326 32140\n10382 59723\n17757 48594\n9826 18711\n31864 67743\n55987 57228\n24554 34919\n33973 77589\n37292 88718\n15803 49558\n37651 52804\n6299 20340\n24577 46185\n9475 85820\n19697 47421\n1240 19599\n52038 60110\n49782 62230\n10734 18747\n21355 47492\n19674 21388\n58453 82894\n60060 73476\n36156 54060\n26401 79487\n63111 82195\n37923 58581\n57662 89259\n66042 67046\n21737 84357\n3258 72276\n21748 91049\n44908 64631\n29217 70648\n30992 73206\n31078 61003\n33418 91080\n1909 57754\n78047 84046\n49789 51505\n1214 86563\n37339 65626\n58892 61231\n48443 59681\n12866 77799\n69919 74542\n11959 49371\n39734 76819\n6946 63065\n30970 42976\n51201 82496\n34807 38402\n53419 62717\n30334 36342\n13372 34234\n19907 51148\n76020 80518\n3537 69483\n25930 61935\n22502 65700\n17540 59131\n36825 43266\n10340 50293\n57552 73461\n47368 64898\n14571 19430\n38583 75248\n542 61916\n8183 55657\n59396 86396\n6788 36447\n21219 43240\n50713 84764\n69231 84322\n37753 66575\n57462 66251\n45799 60531\n1455 58668\n52503 87063\n52204 53526\n65312 80116\n49626 80645\n42528 44624\n45561 79696\n55187 75411\n38390 75994\n37618 66260\n19591 81357\n50608 54806\n10004 11212\n832 23389\n57534 71166\n56421 74744\n2188 92878\n11748 41695\n9428 91351\n67390 88733\n18282 67444\n28360 66550\n4015 18816\n17041 86774\n6060 32184\n79472 84637\n24817 53820\n44439 85884\n30732 40687\n20616 77747\n77155 80229\n25521 73130\n55990 79447\n25600 44361\n19128 45156\n77116 82532\n7511 32425\n48727 76614\n39811 83938\n40995 69582\n24300 90089\n24676 84095\n62561 66404\n6582 21187\n25643 83098\n33665 90228\n5014 17642\n62392 91370\n36979 53954\n39228 81054\n19210 76592\n14819 80992\n50213 62794\n45106 90593\n38861 91732\n57052 93019\n18541 34535\n65321 92947\n56084 76521\n75307 85886\n52496 84316\n18120 31681\n22508 30696\n33961 49496\n51410 82734\n47386 85734\n67367 81787\n13842 73549\n2340 91041\n15976 25890\n48716 64678\n41397 54541\n28132 28295\n43090 68733\n9945 45730\n21594 65538\n5012 7449\n11897 77997\n22236 83531\n67292 78352\n26047 56503\n5212 44065\n23331 77053\n22631 70786\n23836 73251\n16622 47880\n30969 44213\n26588 30227\n28264 31770\n42193 83029\n41688 48234\n32372 59293\n78053 78488\n11180 21533\n4359 41948\n24971 72807\n45066 47657\n34810 39780\n34514 66106\n9930 77231\n53081 69208\n12413 37590\n48424 53127\n21070 45307\n39290 83014\n15317 38857\n8740 66188\n3329 77873\n35621 68987\n26325 50416\n4069 73210\n45238 77054\n49694 72656\n30035 39706\n2287 39641\n12596 29789\n4870 59414\n5827 12266\n14366 27321\n53095 61589\n41547 42236\n1386 50992\n9517 75748\n16796 55595\n39801 54651\n5683 42503\n75246 86216\n16378 59413\n52371 91033\n24860 90271\n66374 78414\n67814 80533\n3942 73184\n19357 77012\n24992 29272\n4318 55415\n13910 85084\n13451 21434\n4635 33348\n49499 79542\n60026 78669\n46488 70870\n29294 92554\n62908 75558\n33946 46467\n2370 66207\n10449 55735\n70414 78218\n1503 21986\n46589 72902\n64563 86435\n24393 62323\n3076 59778\n474 19983\n7045 35426\n17 2213\n25561 54953\n5484 69411\n19435 43402\n62887 80804\n53814 72052\n12971 49534\n51237 63855\n65472 75922\n49791 64985\n19884 24422\n43672 75845\n9859 72445\n39199 66195\n20620 75600\n23690 35449\n38861 85782\n55632 71821\n35635 47716\n78661 89422\n23227 63390\n58613 82840\n10208 11668\n8557 92613\n64611 82090\n410 89418\n8071 12919\n6795 89547\n20849 22173\n30753 38904\n31576 52870\n53396 59048\n3018 33339\n14715 30666\n34658 42948\n67156 75143\n24442 66376\n15368 65703\n36819 69182\n63473 68989\n24075 60786\n4425 63489\n6110 24862\n2687 50320\n74173 87063\n59288 65874\n31128 68749\n16583 38806\n49315 76583\n5082 20822\n27567 32702\n76194 80619\n10682 18041\n7708 86401\n45742 49857\n10622 60289\n8143 88447\n25427 65272\n18762 61840\n4627 38427\n76454 81052\n11675 47240\n15558 91969\n16330 84880\n51491 72208\n52924 86064\n34579 38782\n56810 58249\n8623 73583\n16398 47657\n13317 22645\n58812 71265\n64049 80509\n52620 54718\n8067 87442\n82449 87998\n7856 39201\n2938 33121\n39818 80846\n8028 31795\n27605 61159\n7468 43416\n9786 45765\n20961 72055\n54472 65095\n27982 77206\n14183 36090\n43219 50760\n43170 90626\n2046 87103\n74050 91345\n44308 85364\n27239 54802\n18345 63881\n22457 29324\n70087 90355\n127 90664\n70801 84148\n29302 39673\n86228 89501\n11397 91778\n14313 83636\n16691 85008\n16122 63587\n7689 42952\n29628 62694\n63613 74127\n3173 36508\n42108 91412\n52559 84326\n13698 30366\n22044 45691\n33101 69295\n43917 78697\n3937 40047\n13491 29977\n26175 50103\n26780 29967\n1661 54403\n74913 87220\n34335 47812\n65125 75477\n26444 29586\n20290 37113\n86094 88012\n16621 31224\n22927 37460\n69520 74977\n75237 90347\n25950 43964\n42444 63897\n28472 67778\n63512 75097\n66409 90117\n22500 82300\n15704 31962\n9134 19358\n80326 90112\n25511 40001\n36561 51524\n79749 84847\n44618 65324\n1458 7207\n27911 33465\n6658 90975\n34471 48750\n25145 58105\n32439 51356\n82555 89950\n6958 61106\n12173 66678\n40758 69464\n61123 69850\n19571 65409\n17615 48833\n370 49474\n13410 54028\n17861 89174\n35839 75500\n8399 81506\n3962 17820\n78530 79182\n82203 85846\n51694 69998\n3678 69451\n6595 43944\n22910 69023\n8549 15134\n45346 78791\n38784 51939\n36365 48034\n27508 82719\n354 55286\n22152 89430\n9667 19109\n35412 83632\n21717 33658\n62652 77713\n34422 57993\n962 87587\n3590 58157\n61077 74826\n35184 79442\n18076 77797\n17116 79483\n39325 80263\n6172 78472\n71129 76555\n15173 85656\n49919 86672\n36336 88907\n16181 18481\n19036 67293\n54860 84763\n218 14849\n69666 76419\n37542 57770\n45282 46790\n11420 25427\n56322 59795\n4675 71752\n14929 62451\n1625 16085\n55129 81014\n11137 47331\n12059 59153\n27611 72641\n77631 89296\n54943 89120\n21569 58220\n28501 85755\n66512 83772\n3379 60560\n29281 59546\n28136 74075\n36657 88392\n61489 88316\n38153 80072\n10948 48057\n44926 82913\n47165 56367\n83716 92330\n1498 85583\n58254 85265\n724 91491\n46129 68612\n44459 48497\n45540 45617\n22776 74619\n40883 74283\n9435 90959\n62395 85091\n38985 85919\n40998 41805\n13183 29060\n1197 38330\n44541 62732\n24080 62630\n24715 33893\n44006 65903\n23667 34424\n28540 34853\n82357 92816\n10186 64952\n2268 9856\n87273 91864\n24017 61493\n53775 74836\n53674 78763\n63142 92476\n15451 81324\n37108 49672\n28767 78932\n4658 66625\n54666 83478\n17233 72344\n36930 85750\n51946 58081\n27453 75501\n71533 87827\n6812 12740\n46522 48140\n48081 91702\n7268 82047\n26323 44170\n50612 85398\n12433 61800\n5975 43183\n44069 87553\n45995 64646\n10130 12061\n56438 79731\n11232 32099\n12391 14704\n114 56164\n11832 74783\n67117 85006\n27610 46306\n64930 80007\n7873 77277\n3898 74989\n44441 88602\n62202 68898\n4492 82513\n9267 60032\n2051 42695\n16963 27577\n57882 62455\n25706 59371\n60958 87421\n14678 66653\n32969 42637\n35706 47609\n40732 44214\n6321 83249\n2093 22945\n58820 66913\n544 28984\n54418 85369\n43937 77255\n7440 44684\n67960 78554\n48548 54589\n56325 88192\n52211 80735\n21703 40472\n16320 68557\n77066 84933\n1840 37137\n79568 86442\n52145 92631\n1141 20805\n34321 45574\n25666 68071\n35561 78920\n55669 79558\n61912 62096\n27775 35932\n26715 40780\n47467 52727\n4326 57801\n541 32821\n55376 55826\n34693 39093\n8444 87088\n12136 91118\n21266 60445\n48242 89236\n72786 80631\n61704 74434\n2305 43155\n15495 20652\n696 51906\n6759 43284\n27678 76573\n9590 14474\n70259 81193\n51101 74378\n44988 86406\n21176 69753\n58417 87231\n163 70992\n34481 47143\n44784 52598\n51720 70673\n57567 82954\n24393 90269\n66736 78989\n35185 88696\n33763 64079\n27685 58666\n26342 71128\n3592 12642\n55764 83495\n50469 66734\n3998 7468\n4882 68914\n47374 51273\n26726 71358\n35111 60217\n43289 60188\n11175 14212\n8714 24067\n30702 68692\n30978 88889\n19933 65806\n43194 50647\n57938 62557\n40289 85172\n5248 49101\n73336 75428\n35514 77594\n5896 73564\n33327 89737\n68416 74402\n46196 75382\n53390 68145\n47156 62331\n1318 47329\n12623 19666\n12254 88599\n22983 36708\n49802 71691\n57860 60469\n4971 28784\n58717 86190\n22883 66686\n9505 56577\n87212 92559\n9953 62433\n40845 43176\n33312 44915\n50946 67452\n17191 70341\n12047 86492\n40434 88568\n9275 76501\n11573 37114\n30309 38958\n43351 45271\n26633 42882\n19805 46263\n66815 83302\n55243 83602\n14122 66455\n10085 25456\n13606 62310\n1642 5961\n29802 91298\n64307 79822\n4661 43633\n26610 55810\n9223 16760\n10951 22941\n49202 52693\n21031 58591\n10729 60547\n32763 76667\n6616 7542\n19684 25994\n2676 56306\n16795 27438\n2758 85440\n38541 59920\n207 58267\n36965 71503\n517 11460\n29619 86780\n3556 89239\n879 11752\n14564 81759\n53019 59530\n63616 82809\n2320 84622\n7227 31486\n39588 63883\n25472 88436\n13223 68662\n13605 20233\n15653 30263\n7798 55335\n52115 88272\n77471 81042\n23707 32929\n24218 70406\n7498 51713\n2450 75313\n26099 45239\n256 82473\n3674 91198\n46305 65034\n29916 30925\n1711 69706\n23974 48294\n44033 86381\n42977 62447\n26605 47665\n47795 48870\n1277 49072\n10772 77109\n38785 40603\n19663 77916\n2238 90497\n61308 87512\n15802 45109\n33413 73499\n7578 70321\n65008 76869\n30996 55242\n18007 61694\n24649 57607\n15796 81001\n11248 91030\n47485 55324\n20376 41460\n75758 77832\n18967 77987\n47684 48749\n6742 46763\n72059 91936\n25636 62509\n71004 88577\n23398 91399\n4972 54432\n35837 54949\n49493 88374\n3295 81515\n41613 48628\n19020 80588\n46059 59631\n35460 83104\n4037 87088\n21268 76360\n7195 88884\n66906 79607\n31718 33660\n46280 51250\n3452 88554\n26146 92440\n34801 83525\n17649 20902\n21411 86961\n23713 88311\n32663 71190\n19383 61033\n10776 67796\n3907 90262\n9585 16614\n43457 56508\n3343 46523\n41711 73225\n10250 30393\n64243 78983\n16667 18702\n42215 83438\n3103 40390\n59596 70099\n10541 18851\n68265 90356\n4342 24569\n34773 61565\n23864 27594\n44985 47086\n36667 73430\n33530 90153\n12092 74977\n8792 26563\n13544 20012\n54127 78094\n9126 28498\n68779 69615\n29256 76339\n31773 92054\n54495 87506\n45634 58904\n21262 53843\n15426 65622\n28670 48358\n80437 89615\n27685 43338\n76874 86565\n68688 92388\n39524 59936\n12593 18303\n19002 65760\n38334 40688\n30331 80532\n72 58498\n76762 81241\n19505 22528\n51857 54928\n50851 73519\n14506 42192\n63847 91166\n54130 59116\n86418 87684\n8391 10170\n17890 45810\n5622 66308\n74278 77380\n542 22528\n29319 39275\n35182 86142\n844 6204\n38031 67704\n5387 27119\n12252 43681\n60906 78857\n22591 24583\n32206 52609\n1089 1277\n22205 35605\n33002 42607\n82592 82718\n48266 61043\n795 66881\n54529 87199\n43112 65121\n58740 87228\n2939 67965\n49572 50020\n4071 78385\n44241 71767\n58474 70051\n48958 67689\n47248 56725\n16283 68776\n42040 64195\n386 34775\n56519 75140\n43837 72118\n13170 40202\n18574 89485\n75262 77938\n7667 52895\n43505 74677\n16684 89615\n1711 37971\n72695 83989\n42281 81034\n552 19458\n16200 73384\n16297 65181\n65496 68949\n29811 54490\n28426 31262\n5974 41230\n6339 39272\n2360 84080\n74935 88633\n10243 45084\n46817 85507\n19462 51207\n19975 50154\n45885 81239\n5950 53909\n46988 66659\n40356 76178\n1757 49444\n5859 88374\n13133 55534\n23892 47716\n9096 27595\n18799 58001\n49199 74410\n11399 73199\n6665 80783\n2162 92881\n49418 85594\n40978 63116\n46691 80998\n22159 89166\n36295 46540\n5350 22219\n66399 87008\n19265 22937\n23679 51443\n55515 90711\n48037 59127\n1951 40579\n14737 43994\n37202 65914\n4282 49157\n12167 15063\n14474 74394\n11991 72956\n20256 87102\n71719 77566\n3989 64619\n47106 48038\n21038 77236\n36630 42924\n13994 59330\n10672 33208\n36553 37525\n42975 67575\n14812 21223\n50951 88636\n76487 92932\n44283 76699\n39416 90860\n53063 92543\n15635 67394\n1600 31951\n10248 74500\n44042 70139\n30219 51069\n15219 67068\n19489 38251\n15818 48870\n6849 47898\n4798 86526\n39926 49202\n6648 87495\n24040 62536\n1445 56006\n10957 78888\n30475 86998\n9236 65189\n45741 84010\n60794 70464\n31427 68960\n17050 58476\n51512 83233\n85003 85516\n9455 63003\n63837 80986\n48228 75374\n33392 36505\n1639 32101\n69195 73694\n45636 67901\n7296 18079\n14288 78405\n36909 43938\n30793 56697\n46453 53322\n37212 66736\n55278 63515\n24069 60648\n13143 63222\n46020 46315\n38049 45290\n64536 92116\n67873 72309\n14394 16820\n49458 51289\n27482 66771\n18262 78353\n20473 29522\n52165 91817\n54185 78723\n57554 76233\n18992 88207\n18061 35139\n73780 81098\n1310 21250\n13096 43787\n6841 46693\n4145 20216\n29923 66408\n27338 77456\n12025 74471\n18331 82655\n54417 58186\n3781 17594\n73271 84612\n64075 76020\n4276 81299\n52533 58736\n24343 55950\n63554 72855\n21198 64078\n10133 16298\n26111 57773\n67415 68643\n57269 88336\n20628 24361\n15440 33746\n22182 76446\n48907 84174\n45893 90345\n58257 82857\n634 4160\n56063 64713\n32783 72110\n24076 34104\n99 19393\n5458 67953\n53792 58477\n2290 47707\n23159 50518\n11424 56320\n4816 25987\n17490 39001\n16438 47336\n2620 40342\n53906 79575\n24452 68329\n14594 86774\n52191 75604\n52213 79786\n30039 55590\n17727 89189\n31882 87561\n14799 73569\n18299 49079\n22662 45598\n50230 85628\n53683 74216\n38332 89203\n31796 66739\n43411 70791\n23829 31591\n37124 86982\n3450 76852\n39041 62775\n58834 64351\n58491 73531\n53688 71206\n12327 45807\n75639 76514\n22826 45803\n25542 60000\n38991 58443\n33690 64028\n5191 6299\n8762 21731\n15552 36158\n26295 82620\n52462 87843\n23138 53468\n91845 91879\n23496 74520\n13737 21134\n18115 28900\n29445 71192\n37186 82481\n66269 91784\n49927 52573\n19730 33574\n1435 72180\n42920 83736\n49860 63242\n30951 58649\n18001 24822\n25496 29205\n32578 38097\n53569 73774\n85026 87666\n50991 61441\n20130 61653\n10030 20039\n34727 91952\n19773 51117\n39352 66018\n41953 53743\n29344 67380\n25399 62887\n56665 89411\n34071 44440\n13291 56176\n16786 24426\n749 79583\n40259 85970\n67602 86040\n29068 54379\n18637 39002\n40439 69209\n18618 28422\n1168 82882\n49305 58473\n1138 59780\n40686 55944\n10680 14225\n53902 68557\n62765 69130\n13958 22926\n12321 86846\n1725 34315\n264 44592\n17831 53361\n7972 86619\n70810 91033\n3614 76318\n12383 41516\n35488 92916\n38363 80489\n14615 32184\n11666 56298\n51275 73615\n48205 92543\n23259 70301\n11310 21593\n21025 58107\n26162 29195\n8368 26743\n42280 54047\n54250 70757\n69389 88160\n55619 62484\n34824 47985\n15762 33121\n67136 82802\n73466 92863\n10467 22639\n13918 72837\n45562 90282\n38213 58369\n66368 87377\n37669 76809\n41281 69083\n51304 57922\n20273 52833\n37422 60418\n34905 79979\n58550 69054\n8861 85878\n496 9788\n27933 34114\n35395 46001\n23042 44951\n41922 62583\n48572 86843\n75461 81819\n35144 91735\n35040 56793\n44695 60875\n42980 70889\n8101 64356\n40068 63884\n23639 63054\n21963 81048\n14488 31393\n2629 37551\n58138 65341\n64357 65265\n32354 83603\n38704 64879\n4109 25358\n56301 69391\n5508 38933\n31672 81994\n13075 72948\n3974 83863\n51681 76211\n6174 87743\n53102 75646\n34664 47471\n41564 78338\n23281 74577\n44730 73586\n27726 88885\n10680 67908\n19978 29125\n13863 56430\n87926 91634\n58097 59054\n43601 87485\n41581 53472\n5968 88197\n11017 21635\n59834 83565\n26385 32596\n70190 77033\n17430 76015\n15048 52208\n27042 70647\n44203 71992\n87159 90384\n32897 67202\n16053 77450\n22187 74528\n15990 16309\n45050 66085\n41795 51911\n54367 65987\n20889 58002\n2653 79229\n35658 52939\n14057 40673\n15819 82070\n13932 60301\n16453 23220\n8969 55904\n41387 57250\n22312 68469\n6682 88113\n30626 73251\n66425 92415\n53644 58955\n4019 14128\n26 84968\n27090 41034\n28242 67687\n16682 25506\n11482 20147\n23119 54917\n54116 72965\n29117 85434\n21609 62013\n26399 92907\n24931 42900\n73084 87710\n47798 52296\n44242 87197\n48544 91594\n36956 88723\n25656 67482\n40312 54257\n13822 59928\n16876 25243\n17473 68197\n31520 57558\n25218 52733\n13473 18901\n27180 32911\n7022 62629\n60580 62568\n4058 59127\n75584 90939\n50026 57835\n17884 80070\n35721 43439\n72366 72886\n2870 15534\n4584 88266\n78781 80979\n39737 81064\n29031 31519\n66047 73870\n62302 66336\n39815 43800\n7421 36617\n1662 55615\n36166 48382\n13798 17825\n21957 26603\n48523 66314\n24448 89978\n32423 44765\n42987 70085\n22449 58238\n2474 64577\n23174 52991\n52899 74608\n66265 90905\n18840 71416\n41368 53723\n18769 72957\n16346 77087\n22116 50229\n77439 89817\n26458 59232\n2332 90746\n16943 78035\n25913 65329\n20674 92173\n40438 83769\n22212 64228\n31659 62388\n6091 53219\n3120 39446\n45685 53522\n32690 91526\n13208 63461\n51409 58723\n15516 42797\n5824 46291\n9102 61072\n71865 83065\n39312 81623\n48026 82861\n48237 52378\n2284 18164\n25009 65391\n3572 12389\n25080 44158\n51347 60969\n29058 48293\n16793 76641\n40039 54381\n44129 92547\n62951 78562\n75558 86761\n60695 67911\n10732 32532\n13803 54568\n29645 68669\n13115 51287\n51782 60184\n21183 60113\n9675 87158\n52055 87419\n6443 10885\n7466 63749\n33235 65362\n44128 83030\n8522 29036\n19936 48340\n75003 87792\n75731 82904\n55297 73318\n12793 46521\n10269 86832\n27945 61657\n51535 77510\n6946 60345\n15260 72459\n39386 64809\n30653 86699\n21037 32637\n9278 70252\n75865 78727\n42298 75714\n70777 71216\n6498 43140\n57073 83893\n8021 30838\n6344 23957\n5549 44570\n40218 59026\n62052 82317\n7704 11756\n44278 59617\n43688 78672\n7805 55015\n5139 9002\n35487 41401\n25033 81720\n16711 47622\n87340 90245\n7494 56907\n3641 15985\n22166 64819\n17573 27686\n11946 90444\n19550 25003\n63876 74044\n395 11095\n62699 82321\n16333 31190\n21105 46147\n20036 29459\n31274 34112\n2273 76423\n50964 69228\n27089 71527\n66830 82284\n4266 16781\n39945 69412\n43724 62781\n17101 50321\n8813 88501\n55815 72666\n33885 92729\n13350 52646\n65284 75205\n1746 39699\n34060 63886\n21111 65063\n29715 70893\n50322 70976\n32928 61652\n1232 14651\n12173 82754\n31289 74162\n29082 58173\n29063 73895\n10336 54133\n36624 87378\n62388 91473\n65108 77858\n571 74780\n8238 71831\n59 11932\n9462 85559\n38322 74565\n51001 81264\n1170 63750\n13242 36193\n60798 78867\n7094 28156\n42855 44145\n17077 90386\n7224 20390\n48926 63188\n127 86508\n10540 30042\n38351 83021\n12982 37943\n20590 78141\n3784 64250\n55078 89219\n19233 76471\n2341 25463\n35303 84814\n13074 32060\n22408 77510\n37610 86896\n10663 50365\n56366 80150\n42533 64958\n8652 43010\n11509 86473\n18198 24533\n57070 83327\n3792 43913\n66595 91326\n2798 20018\n80198 86514\n46271 64893\n10282 39911\n18573 30362\n72876 77946\n7018 13477\n78414 80537\n50536 90389\n47246 62786\n70269 87641\n51665 55487\n62982 85424\n16064 29623\n21328 79776\n46615 58369\n25375 77992\n64251 64793\n34752 45650\n13728 22086\n33650 57599\n16768 52101\n48134 70829\n61739 67577\n23984 92878\n59388 64358\n30292 31101\n24750 38644\n66452 87935\n31414 75045\n18167 21261\n6740 27833\n40147 84201\n10760 43642\n5235 20301\n4103 55862\n38964 71133\n55085 69535\n31815 85226\n32722 49888\n31938 89794\n30663 45811\n3442 82937\n49279 75969\n41755 76454\n28171 51268\n27692 41524\n25564 63674\n67259 81318\n51657 84716\n38167 83979\n50204 71760\n50217 80344\n25656 42105\n12792 32948\n30585 38648\n95 92759\n33214 57361\n16689 38076\n15809 73244\n58244 62545\n41986 65497\n35902 39456\n38268 53510\n35534 84964\n32731 36668\n26777 46456\n56727 91003\n21419 66049\n739 40174\n8263 80397\n28003 71346\n23715 65341\n1891 64967\n36631 54515\n27984 48741\n1463 65092\n5796 33997\n31868 59254\n7909 64421\n3438 84826\n6292 82070\n7143 34355\n2089 80500\n73946 92234\n969 72626\n29018 38410\n28148 90923\n25527 55068\n2864 58805\n45029 45504\n9242 9509\n13682 57077\n9851 45017\n9799 45957\n76754 87420\n58499 63319\n26078 41978\n8514 37147\n2073 9733\n62138 83229\n42052 71816\n28024 81150\n41823 88529\n23799 47844\n19351 33597\n16120 41495\n64854 89749\n47890 72373\n9358 11111\n88768 91499\n2238 64324\n34025 80373\n47294 61963\n66559 89417\n25155 61417\n77939 80346\n10134 72915\n10798 89000\n89225 89933\n64720 80870\n11971 82635\n45100 90935\n18537 30573\n40385 54134\n21184 25598\n2893 14279\n24124 60414\n3617 62983\n20684 62058\n14425 79231\n646 34070\n64321 80699\n13671 45120\n47139 70749\n60810 83190\n27816 61415\n68718 80330\n32180 83478\n659 53429\n43676 45654\n10205 20363\n53332 82053\n35472 66890\n10585 72324\n22890 80388\n72258 78261\n1171 79802\n49998 63084\n44763 46676\n87212 88508\n11919 71805\n34739 77426\n37324 43732\n58106 84710\n22431 53174\n67108 74433\n47747 90908\n88974 92860\n30577 36251\n30107 64720\n43927 45430\n18705 37328\n2489 80186\n15222 53966\n10474 40381\n25118 80927\n32137 73217\n57905 89277\n9105 44343\n21056 79868\n33536 59844\n32506 90152\n8204 50873\n3493 87797\n42021 73996\n66739 70314\n74824 83529\n9069 52760\n26894 33570\n19264 37780\n70835 77472\n20735 63779\n37618 92316\n39887 64824\n22842 91853\n48813 85834\n32164 77415\n43540 52807\n26335 89766\n7526 17687\n47270 77360\n28036 73426\n42411 53284\n5397 32580\n70682 84189\n42848 46629\n25374 88762\n60245 86591\n39157 41321\n21866 62959\n2759 32278\n24466 60877\n15199 21006\n36595 45416\n12913 28508\n362 43312\n51144 51854\n56721 60398\n28524 76436\n2248 2944\n67778 71503\n67903 77488\n1086 56497\n12258 70602\n5627 30330\n6382 66191\n32298 52060\n10479 80581\n55247 76457\n65394 85823\n6306 19139\n67631 79654\n17107 22592\n985 8713\n5451 69987\n18306 34801\n5071 76709\n12857 19668\n67405 77390\n39175 43537\n74571 88893\n30014 76136\n27936 54238\n45570 68042\n27409 69934\n1255 21020\n5409 56316\n45786 87014\n28901 35446\n19467 55592\n57930 74239\n25377 81652\n47285 75081\n15979 38669\n56545 62078\n8566 89093\n738 49395\n35985 61328\n7685 18358\n8533 83863\n9130 62191\n62291 68672\n16710 72711\n59841 68387\n2422 7268\n79112 80396\n53081 58865\n166 76241\n39108 41446\n77182 89803\n66812 85057\n63144 71514\n14785 64806\n47167 70070\n31815 87390\n70388 76311\n40203 53231\n26129 78029\n20757 91572\n54331 76446\n44915 51779\n32026 62611\n1204 51809\n5426 40900\n82777 85554\n68605 76287\n57571 82534\n14255 72897\n34513 84632\n36186 65437\n16043 51183\n20275 41931\n4479 47188\n21048 27481\n15924 22442\n82035 89581\n65618 78408\n8512 22616\n22748 44439\n4964 83246\n49312 60662\n964 51644\n15436 41376\n22821 57849\n68793 73108\n32274 76940\n53185 57008\n12566 65810\n2052 45471\n218 12492\n17198 63855\n41771 69770\n57442 62987\n29517 78635\n24712 40108\n75492 92824\n30622 40663\n84036 88682\n25212 67946\n2337 19732\n67945 77612\n30275 55200\n31629 34839\n65200 66865\n18459 92344\n39119 69373\n1011 34339\n1875 36527\n58622 68720\n2584 19331\n28354 46698\n54074 59359\n49967 55391\n72460 90012\n25872 45494\n36958 67647\n16885 44739\n28837 66560\n23588 53531\n50023 88178\n2218 56923\n78268 86146\n9315 88104\n36690 75764\n58160 92503\n19608 51616\n59682 69784\n50414 68149\n50094 60576\n58584 59037\n2425 15983\n61813 67543\n4776 34796\n54447 70982\n16676 85773\n78953 88013\n23120 80943\n40334 71449\n49359 56540\n22919 74110\n27582 32574\n38265 87807\n42986 65093\n84376 91251\n3883 35804\n38446 71242\n1369 2139\n50932 52737\n30186 69846\n23542 72679\n17577 71612\n53026 62157\n25916 85890\n3160 57450\n65328 83733\n65547 70157\n12634 63517\n35863 83464\n24527 51613\n34975 62860\n20627 39941\n47314 84155\n57858 80203\n12581 30102\n9355 49235\n34353 81229\n28720 69238\n64836 90443\n4680 45981\n10587 18037\n79435 85851\n81873 92304\n9233 90925\n26082 87273\n12807 54774\n32195 66750\n18279 57169\n18766 48094\n26512 27746\n18631 89154\n37547 55468\n12935 44147\n40107 66385\n39178 45644\n25764 76746\n18374 21987\n13036 58931\n41263 42295\n10595 17130\n21139 34952\n16031 35312\n5273 79654\n25500 43253\n1119 33501\n39670 65506\n6589 14241\n4805 45996\n10519 15805\n688 92866\n19606 56865\n5407 91751\n9155 61974\n19014 46837\n17446 60743\n68896 70883\n4488 53879\n20178 86559\n25373 87253\n12721 89115\n18666 77847\n52650 78618\n53962 90788\n31014 59768\n51964 63743\n30772 66910\n72721 77326\n43630 81461\n20596 49753\n30532 30686\n54634 60013\n21516 72855\n43120 62550\n38385 82393\n10399 52938\n47186 61146\n18770 67796\n18355 85682\n69389 75119\n25356 54402\n45698 59420\n35302 88217\n32585 35700\n65760 78440\n29897 86922\n19798 30479\n54903 67651\n52683 79345\n41370 86476\n66521 86330\n16017 92743\n1905 35328\n62409 66772\n26319 84520\n46182 57331\n53465 77431\n62304 83465\n47748 82596\n1337 90731\n53296 82581\n8219 62383\n3048 90517\n31995 75707\n19605 81254\n8052 15976\n71675 89626\n29000 80313\n23362 35959\n1121 48656\n14043 66207\n14913 69513\n57584 84492\n23048 35346\n35122 87786\n13850 72709\n37620 50223\n48054 65687\n7087 16521\n1028 91491\n18766 22077\n39652 50730\n30889 33408\n13011 16249\n50631 84790\n8374 85401\n30907 85985\n47719 73765\n15405 53530\n24971 71823\n48615 61729\n18636 27267\n81158 92156\n39946 62400\n63474 68356\n31474 51405\n16222 52615\n15967 20172\n36369 80423\n46424 86533\n35867 67728\n8439 9350\n19844 32129\n55965 56881\n11535 13267\n33806 68621\n18012 77590\n33637 73448\n77103 87383\n85783 86185\n36207 58708\n57561 81781\n4639 32665\n21719 22577\n1835 67197\n46988 75905\n26864 61736\n6385 48259\n19664 38047\n12723 74040\n34908 38156\n21142 72690\n44810 90017\n9463 54362\n22018 64820\n29603 37494\n30144 46334\n1533 62595\n16649 67411\n78500 87749\n26882 66421\n26496 65861\n25550 37825\n20643 84870\n30787 61051\n2198 74894\n83536 86727\n257 66398\n6707 92368\n71710 77675\n73399 79999\n61115 63904\n15861 84551\n43352 81866\n4291 22719\n64389 83957\n7779 33647\n77803 89677\n46208 62038\n35076 44903\n22591 44536\n35830 91561\n35063 37588\n7126 90754\n4951 59812\n60511 90742\n16994 79870\n25961 90487\n28666 77107\n33112 81665\n16805 64034\n61678 69701\n29921 38361\n19739 46915\n12726 23853\n14976 36693\n46864 76281\n25411 48854\n1957 28431\n64337 69295\n29566 78424\n24822 81058\n45107 69132\n10930 67839\n9087 88796\n43199 64010\n51849 88676\n701 1829\n3037 72706\n28942 56726\n17326 66752\n24728 49165\n48511 58610\n67731 69503\n21591 44185\n24122 73981\n23820 60566\n51672 84300\n52315 92011\n40544 75556\n2250 73628\n48172 67407\n4435 84860\n24453 39408\n21601 68958\n56945 68258\n22978 37629\n58671 85512\n50862 75822\n27080 78483\n19490 25080\n44491 85956\n17594 76545\n4130 58320\n20064 81862\n40603 60779\n16227 83314\n56026 72104\n53203 86773\n6299 87052\n8591 42075\n6340 74382\n41145 46579\n28344 90098\n37591 64531\n46612 91099\n28467 65437\n8568 75077\n60617 65488\n16973 21712\n14301 59900\n22358 68181\n24750 58679\n63387 64432\n22219 65826\n55832 57867\n32797 39811\n5650 82874\n19727 33556\n65893 93149\n69992 74507\n11423 58253\n45627 67845\n6459 72091\n15001 74764\n26819 44045\n14399 18330\n11932 86670\n54025 64108\n33514 86072\n9998 80150\n44902 80712\n17852 30440\n46988 70275\n32340 57344\n40790 76025\n21718 21756\n16903 43084\n3208 15870\n45994 86392\n24866 82733\n9253 60121\n21347 83383\n7405 64148\n49558 61238\n35097 75265\n8650 11765\n16993 36999\n8571 47803\n637 6240\n76587 89404\n84495 90155\n4890 27349\n34270 54160\n28896 44568\n16504 63557\n2186 43038\n24889 28821\n43279 65690\n19666 34357\n42181 69049\n44688 92016\n61983 72390\n48795 52397\n62521 77357\n55429 58566\n58539 74141\n11366 72946\n17289 87157\n3702 78408\n16946 17635\n3971 52441\n75044 75183\n41240 86233\n8039 46373\n77058 78544\n26028 91702\n8565 16885\n35944 71804\n41295 61506\n35715 73513\n52074 58665\n40047 76826\n21058 87534\n29341 78177\n42291 83121\n16895 38299\n34023 47901\n12228 49265\n68577 69393\n70358 72010\n8959 52347\n3310 61251\n20611 68265\n22118 29941\n11870 21043\n7041 31527\n52805 81569\n12159 82340\n17366 25456\n55693 88206\n27860 34649\n40645 46173\n52871 79532\n48297 73779\n19909 28048\n52201 59341\n14742 45463\n22945 32998\n37576 49616\n20216 23751\n53931 84807\n3656 81824\n30649 45004\n12469 70767\n29484 57783\n3418 20680\n9061 38144\n15291 78515\n9778 77622\n38429 88291\n62109 71870\n52001 78570\n21734 54576\n16750 61279\n44442 61590\n52145 84348\n80696 83302\n8328 84779\n26309 81590\n31527 73354\n80130 91191\n30498 32449\n52760 71276\n50774 60529\n65188 66522\n1144 13311\n67766 74993\n1570 43725\n39003 46015\n50555 72896\n62205 84385\n22163 55629\n10951 52313\n40926 59516\n65792 79115\n37259 76277\n30014 58829\n32925 47780\n8239 33971\n33353 65801\n1473 83846\n28847 49893\n17062 66002\n3091 14519\n43229 50079\n42434 86859\n60484 83908\n4254 58995\n9383 51270\n17230 25932\n61850 63226\n4476 71598\n6831 24501\n35924 70407\n38160 81239\n21213 90285\n11784 40024\n80025 92330\n32410 87622\n33163 39144\n20502 53713\n10432 37627\n35776 91455\n2975 32198\n10045 29119\n12378 86595\n30934 86777\n4307 67656\n4176 50130\n55041 80980\n37140 51539\n6887 12356\n2180 51949\n40079 54848\n48391 90090\n35861 45781\n28218 70448\n2582 67978\n32751 74424\n26498 49591\n23603 77267\n35463 36774\n2439 33521\n38653 76873\n7062 19370\n9234 48104\n46507 85070\n10762 83918\n11737 38133\n20787 34992\n74305 92725\n6209 65075\n30747 82549\n61855 83609\n76447 89487\n38378 44412\n8077 92067\n20787 85309\n20840 34371\n22420 66564\n81861 90818\n17542 23438\n10555 21922\n22187 23363\n22768 28575\n12945 52036\n31578 63440\n45721 56472\n80560 93032\n28276 33344\n43578 50433\n19509 83595\n5965 69893\n11025 49543\n36081 90885\n7699 8404\n9827 42258\n5054 7355\n63759 69230\n24034 65034\n42257 82569\n9643 59522\n5705 63434\n2431 77822\n53874 72730\n20564 58445\n8840 55346\n19865 83830\n21610 36287\n30022 83700\n19047 79798\n41213 58637\n49837 92151\n34537 75325\n83941 84992\n46250 87650\n39818 51180\n8473 76141\n17761 19633\n17668 81333\n36131 83670\n31514 48740\n25902 36871\n29533 59401\n60959 80942\n2051 39405\n37199 45827\n23987 74050\n3344 56330\n49113 88379\n18892 79457\n17907 36871\n64969 75803\n13869 68278\n57175 66927\n41143 79953\n3127 7486\n38327 85162\n13475 51465\n32109 53983\n15268 73258\n65334 79270\n24096 59773\n8776 16792\n10065 66222\n56526 64856\n10332 50848\n31870 50206\n6109 75810\n77242 80086\n28435 48827\n11767 68849\n27915 53065\n11697 53573\n47627 57281\n7809 61639\n4025 80365\n62485 82946\n12 35704\n42985 68433\n28734 53999\n13649 79802\n23530 51140\n79285 85727\n14585 83949\n16413 71606\n6923 90769\n4097 46565\n39556 80524\n59433 61687\n38892 62048\n44804 85728\n21670 37977\n34568 83226\n10227 54174\n9074 18536\n15499 49486\n64290 73170\n51295 58026\n24925 68346\n3472 41282\n4736 6755\n58980 64993\n21132 62327\n6054 57227\n75612 83986\n46196 78333\n3908 79848\n17425 86997\n70702 74870\n20706 45493\n37218 50615\n38185 63171\n9589 91638\n59651 87534\n33266 49824\n12088 82108\n74821 83501\n35414 87172\n45830 87286\n4808 77254\n47090 88846\n11432 89796\n36595 39939\n41893 79485\n61083 62962\n21121 88680\n29843 63837\n47209 67511\n48038 89661\n48007 51465\n12754 19596\n4999 64721\n56447 60973\n37205 56967\n24011 24980\n40858 55436\n64654 69221\n28835 76996\n31008 45660\n20973 79246\n13899 66311\n60117 77051\n10639 28301\n5112 76800\n78411 81501\n15254 80856\n45603 78889\n24730 58617\n72342 87626\n16411 69307\n43620 60681\n21803 69476\n10846 40417\n48426 67181\n73471 83083\n11966 72881\n42459 92000\n67841 81835\n686 80034\n31700 40495\n8793 70748\n49458 55852\n36496 55366\n52483 73003\n17614 33335\n55832 73618\n49358 62047\n21339 58933\n25869 92410\n38543 40913\n25099 42100\n54840 62797\n5376 77163\n41371 79869\n66990 83575\n44297 75665\n48376 86386\n16523 38251\n41124 47981\n38492 89854\n4496 5592\n54810 76412\n30269 79539\n15626 42892\n17195 18391\n183 5873\n42233 65918\n58417 86087\n38069 85830\n62471 66624\n65860 67195\n68583 68934\n21182 42226\n36302 68071\n41710 69598\n76143 77441\n7457 43310\n67608 88083\n89541 92118\n57334 84872\n17896 79661\n4998 56766\n15113 69756\n61549 85710\n24353 60180\n8196 86203\n40508 56210\n12747 27042\n9734 43116\n36446 41729\n72935 84102\n11071 49537\n7027 72233\n6627 61941\n35913 51153\n67179 69791\n2066 64110\n8600 35423\n72884 77519\n19095 25451\n5671 83907\n67457 80403\n24007 67766\n24544 52361\n7063 87944\n10835 47404\n7861 81611\n618 18793\n30006 81213\n22150 90099\n80063 82302\n42302 69822\n53396 74666\n44610 81471\n27252 56223\n2004 88807\n56836 91306\n22950 62755\n23705 52041\n35807 65701\n24213 37845\n18702 84060\n8392 93058\n2145 8873\n9699 42270\n62273 69876\n59974 65222\n19193 68089\n8634 13493\n33389 37502\n59370 72274\n13955 81489\n12173 55063\n2801 80221\n40491 87075\n3599 25230\n42510 44500\n19991 43387\n3071 56292\n3725 79318\n14775 82628\n1106 62968\n44677 77826\n21718 70225\n27495 55051\n30437 42339\n64976 70898\n2203 42648\n70256 80742\n1668 25208\n39863 50705\n16778 26061\n15183 47127\n18495 62512\n39763 56553\n7139 41183\n40044 70374\n13795 47791\n22891 92155\n25084 34896\n41769 68896\n24304 59102\n21375 92672\n5748 53915\n27620 78460\n12185 65620\n24781 63308\n34907 85319\n48219 70900\n30480 42477\n7073 37758\n37009 81025\n66420 91308\n91020 92084\n9550 86572\n3956 19252\n64299 66147\n8921 61602\n65890 76795\n35817 64730\n46690 70316\n89287 89845\n26227 36172\n7161 45307\n72249 87680\n34199 48286\n42302 85828\n19169 51430\n950 23990\n37836 62659\n51354 61688\n54922 62820\n49135 51990\n6997 37274\n48295 83264\n62513 92464\n84057 89411\n39073 67886\n12616 45019\n57423 57902\n55136 65131\n78191 89102\n45673 54439\n3631 5288\n20874 54362\n18840 46058\n47695 77617\n96 16221\n51800 71480\n65082 80399\n31997 54108\n28823 62396\n52102 55733\n18188 62427\n30780 33665\n46329 52777\n4002 34977\n50353 60359\n27526 71626\n44110 76778\n55659 77625\n28740 69115\n16621 42386\n53507 73649\n26836 50316\n63730 78104\n20718 82729\n15135 35688\n44931 89053\n22855 29757\n23896 86658\n25338 80322\n14918 33775\n21003 75977\n72190 90188\n29308 62295\n56386 83597\n62940 77011\n40632 66697\n34493 59340\n50520 84151\n14012 51837\n1616 22002\n18275 29711\n50799 79607\n13404 63421\n39288 57129\n57395 91780\n80900 88516\n16037 76289\n27208 81074\n8879 40034\n54853 67839\n16650 31920\n11007 57351\n44960 70675\n57680 82566\n79765 83226\n17676 37200\n24345 72695\n19693 92728\n6071 13164\n19162 56041\n4959 64509\n74583 89285\n43167 87825\n30624 79268\n19003 63613\n84094 91023\n12653 90412\n30341 59311\n9 79303\n26927 28372\n4515 76221\n5299 21990\n30738 54082\n8785 77993\n16261 65198\n50622 84109\n29395 34837\n49454 67291\n40883 80131\n70735 73124\n18684 47506\n11781 89848\n25307 34880\n3080 9156\n24442 35276\n53237 61145\n44884 72503\n2890 46453\n69130 90660\n55289 61122\n11654 42738\n57696 64986\n23292 70508\n54627 56010\n74621 82602\n18063 35068\n7560 70600\n40951 84947\n24543 92985\n6473 33310\n88373 91527\n70330 81114\n54069 91272\n46829 71090\n59252 90802\n18353 68118\n62113 78785\n70685 72914\n36301 55167\n6460 90403\n1785 27082\n2762 6246\n19343 86430\n15023 53960\n16137 33364\n1400 73785\n13547 33692\n11681 55399\n2885 64359\n47519 71851\n7591 59858\n26855 67462\n58259 91765\n21721 77270\n33114 87285\n48986 79422\n18357 23077\n34993 41109\n34404 89299\n9513 64344\n27801 64206\n60493 71208\n32527 72147\n59676 74777\n48852 67374\n11774 78304\n45757 82299\n9581 89539\n22730 45349\n14297 64710\n9190 84222\n164 10194\n37378 91027\n60569 75481\n11619 60073\n30502 86595\n43233 73391\n48981 57801\n74047 82657\n22490 56647\n28991 91744\n58152 80059\n44725 64731\n39862 73031\n10952 22644\n12183 34833\n53699 83016\n22161 75538\n8886 51883\n45694 56815\n56895 86175\n56653 74378\n74954 82627\n28935 34656\n13506 21404\n20801 32704\n4638 20627\n11334 35586\n64180 66929\n22152 23262\n27017 89693\n70639 81390\n7204 49376\n30 79552\n7525 16452\n53873 56393\n74884 84208\n18491 92837\n16525 33348\n44327 88246\n26783 83240\n46265 67437\n28216 79836\n44890 79046\n25176 58840\n9916 81122\n42212 71566\n51933 61984\n6577 61557\n15214 49066\n1570 83469\n55477 56635\n338 77155\n54535 57432\n24066 88644\n4673 73900\n18602 83665\n8248 12615\n29165 62534\n10849 67959\n23667 90105\n31065 88380\n50392 86748\n77818 90848\n29968 88941\n73126 84363\n51566 92410\n28446 70714\n35269 37495\n5530 73687\n6410 29051\n34603 52054\n23566 63879\n12197 22377\n20283 87305\n31365 79440\n33153 44401\n36014 71496\n23182 61974\n39186 91037\n7007 57780\n30189 32190\n52102 80783\n39722 75416\n16291 40800\n18770 91604\n18672 81844\n2253 44096\n13395 35302\n41188 44282\n51407 64172\n1428 66735\n623 42415\n39173 51402\n21200 40079\n85753 92446\n21053 33065\n62453 67486\n59563 74549\n33453 38692\n61041 82018\n34090 74253\n68847 76080\n70348 92293\n32075 88206\n17091 17935\n29257 64291\n46481 53511\n4753 71300\n7476 57309\n16762 42741\n48561 50385\n12461 87504\n68476 75709\n50247 85967\n24075 38806\n3502 27065\n20759 48068\n69271 90881\n2676 40967\n11326 39095\n87508 93134\n3263 64263\n9899 51179\n961 14173\n21154 62146\n6884 28915\n11358 80057\n76403 92755\n22839 46528\n47422 57628\n42607 73470\n7815 26322\n30852 76027\n30239 47831\n35247 74996\n10426 26483\n47675 80897\n19000 39707\n43516 89337\n27109 36447\n11981 30600\n42949 90264\n41873 92612\n36164 65496\n9611 59141\n30073 52314\n47227 56742\n2324 16697\n31858 36993\n77931 88201\n22849 23905\n46522 65252\n4148 16964\n13480 20914\n9679 46843\n49615 91276\n34690 69871\n62894 79312\n44384 79687\n25490 70731\n6070 89594\n12991 48952\n34679 80888\n20481 87717\n19187 52128\n16511 59128\n22528 85862\n62221 83811\n10699 62279\n40299 55999\n46139 76399\n18641 60290\n54407 72932\n2399 61928\n2479 33642\n18528 77882\n52520 89517\n2006 90539\n19528 65330\n41632 86550\n61496 90428\n25355 45732\n9863 76681\n43654 65432\n33063 69982\n60619 80863\n2587 60797\n17272 39070\n2803 19539\n10028 34274\n50486 65531\n6210 46919\n36226 85298\n21146 42618\n60802 85758\n7871 45506\n48626 88242\n8352 92237\n29812 62698\n66864 87049\n8083 61579\n64938 65778\n5163 17857\n46782 57157\n29494 44043\n46968 71430\n36424 42097\n43241 59464\n45425 88330\n9014 17760\n31245 82429\n26222 81885\n20674 41596\n38684 50593\n18439 59566\n32407 59683\n9149 19677\n57784 63473\n47552 70575\n15831 90398\n15202 42008\n4796 78071\n41460 68613\n14488 32213\n30166 58256\n14342 55118\n64344 73178\n62551 65632\n72394 93098\n10026 50685\n12413 51810\n8997 65343\n2736 74752\n25089 50281\n18601 92949\n4200 85499\n58129 73174\n61345 87502\n43364 74562\n48190 92116\n18150 27780\n61908 68857\n40229 76962\n15067 88301\n23667 73960\n5257 77606\n13485 74308\n46573 76918\n64693 86244\n33692 39839\n9465 48294\n46793 86277\n13531 60847\n22751 55996\n41779 76545\n69153 86390\n1318 43957\n23539 87373\n15811 27963\n12866 44425\n491 45843\n60364 80266\n85314 89339\n12087 74205\n20438 86710\n685 52974\n11607 27739\n13134 40046\n9015 85821\n33174 88386\n27201 33501\n3438 54391\n37812 83183\n25906 73772\n27719 37626\n12747 22105\n33681 60987\n10483 31126\n33517 42753\n32778 56513\n37506 92490\n42501 67141\n61809 78340\n23808 69063\n9776 17759\n7246 64584\n45196 48509\n60670 75492\n19477 41601\n23802 42105\n60219 73757\n71487 86112\n19074 29995\n51035 79758\n44676 46497\n79451 87937\n9321 11023\n37431 42191\n3855 89221\n39646 80597\n42664 59491\n4729 20541\n6280 26675\n42244 44516\n42915 82947\n75321 90553\n45104 58373\n15955 21550\n29813 61909\n13130 83040\n32046 36126\n51225 74275\n1018 83788\n38381 61639\n5068 69948\n8989 79456\n29396 45356\n18422 54807\n10038 72378\n60966 66558\n570 26739\n8481 65223\n11086 90913\n59673 60199\n15688 20363\n71428 92845\n46287 52779\n24899 51884\n6974 17575\n61326 81558\n54059 93081\n16158 72966\n36975 75618\n33516 73620\n24217 30103\n30785 91549\n63710 84931\n10519 52360\n18834 35328\n54716 71710\n22422 70625\n54642 65628\n63305 77488\n20237 39026\n27906 49271\n56601 61628\n63739 72310\n40752 61292\n10171 16483\n85427 91105\n43173 61530\n50425 63121\n41623 78087\n39588 85166\n32687 49737\n23857 66038\n11901 51475\n5627 63823\n7646 71765\n29508 61797\n15493 69929\n79317 88502\n83557 88505\n65228 80329\n18636 19188\n7629 79884\n1349 63682\n25629 61824\n55806 61515\n34579 54351\n21290 53948\n43061 89413\n51909 86615\n6936 19891\n7677 47005\n6993 62483\n19574 85674\n14011 79788\n80596 90793\n35029 42636\n40032 58318\n14005 66610\n29635 85216\n42561 69568\n2492 77009\n50677 79799\n51449 83421\n30812 73844\n41085 81390\n18382 22714\n5648 26118\n19910 57984\n53860 74968\n24062 85069\n47725 89786\n8182 54995\n7277 36581\n18953 80158\n49017 85771\n15893 26023\n47005 57015\n10892 24806\n451 60814\n58707 79690\n30130 52810\n63245 76675\n61079 73908\n9894 48808\n66767 81478\n47449 85524\n21651 89443\n24388 70490\n66894 74723\n15614 55737\n9472 41686\n16680 64187\n56744 74881\n4097 45672\n88165 89969\n9051 81331\n23701 47885\n58058 60259\n29889 78981\n52443 88870\n12642 77345\n43686 49200\n45460 60906\n43954 55716\n44879 68978\n13225 82209\n6768 82984\n33172 66247\n75209 86030\n5083 77955\n40135 69248\n24151 28535\n59195 80293\n1575 71346\n12460 32916\n51582 74698\n19489 79916\n56494 89938\n44335 84225\n43992 82465\n35750 59001\n8453 62575\n25694 35563\n8105 50011\n81807 88237\n46584 48529\n37571 67742\n71318 73994\n24252 46827\n4208 25336\n4844 12624\n48250 79230\n25940 88035\n3933 9677\n36435 55275\n34336 47246\n52003 89302\n27965 35584\n20777 48585\n12481 23212\n5616 68597\n85777 86979\n11259 36384\n35315 39633\n76993 81245\n15525 71800\n6218 7922\n81033 89361\n1871 39912\n26275 59439\n29778 72870\n8211 90303\n12821 77969\n17867 37146\n16294 76693\n23674 30094\n2733 49606\n28456 51772\n19242 45459\n29114 56040\n23486 59454\n16439 69039\n28032 74849\n5753 85681\n57261 61282\n50918 53176\n12314 18452\n89871 90655\n58864 87932\n4785 75072\n51242 84581\n26494 75181\n55013 85982\n6565 8853\n50516 70491\n35040 74956\n78951 92507\n38953 90858\n81186 90160\n7236 17555\n57031 61423\n62491 67156\n7054 74708\n1338 78910\n19253 66826\n38309 87508\n6189 46950\n83952 91545\n62393 92986\n33703 91224\n48092 86778\n82719 88198\n57538 80876\n53943 55166\n81378 89804\n3822 26761\n18047 45102\n680 12937\n41751 49519\n30790 40964\n65901 66693\n5100 40766\n83322 85860\n12883 50559\n11190 78078\n9061 60978\n36559 59386\n25914 91227\n35273 38219\n70480 86704\n9858 70440\n8566 88641\n17050 75799\n34314 88659\n10669 56063\n65353 90396\n78540 89506\n6855 88948\n9214 17516\n28623 70205\n25210 54345\n35238 71448\n61655 92145\n66107 73519\n30299 70465\n34519 35374\n26495 75337\n16341 17706\n5039 35051\n21822 91715\n13961 41941\n59127 64720\n7369 88617\n25742 51549\n75470 82110\n63800 81262\n78200 89423\n26510 35368\n64947 82652\n24889 73873\n57470 83985\n629 10822\n77256 90029\n26090 92051\n21754 72553\n73884 91246\n31694 74615\n14468 53775\n35037 64471\n55565 57455\n75055 78399\n26319 41074\n6727 69400\n1475 59058\n9344 77558\n58363 70809\n16707 45980\n52135 61492\n5497 57831\n24914 72558\n39485 83350\n20593 89002\n62774 82032\n7064 82865\n14774 66760\n16015 38541\n26927 47781\n53790 62867\n33995 54829\n30761 52258\n19643 57487\n20099 35000\n36664 48819\n58423 80397\n11091 41750\n9989 83747\n11587 41654\n30485 54086\n58648 67738\n49417 85912\n48403 63706\n36943 80096\n57931 74265\n1049 76892\n72339 89422\n68060 74064\n5572 27384\n58323 91396\n8065 22459\n21254 50691\n59638 60992\n20933 79685\n43545 67171\n49077 62257\n30093 63656\n3285 19349\n66250 84517\n14712 41341\n6423 51550\n49564 69339\n6700 39786\n11875 65757\n40884 52408\n17255 17558\n64005 86958\n8647 36963\n27273 34224\n9692 37484\n24474 64774\n9245 12890\n52034 68550\n9320 19897\n22950 28371\n14087 65061\n27926 75871\n4582 6587\n69932 75072\n25797 44085\n56735 65789\n39137 70545\n44608 60283\n1238 84752\n12845 13743\n56708 73979\n8412 88591\n14824 63978\n48833 72946\n64321 89562\n8563 20484\n65213 77318\n11753 80329\n3046 72922\n23623 40350\n40150 61103\n11785 17000\n49378 55312\n37183 69871\n6266 6722\n5945 9029\n55453 73943\n45409 65339\n26506 73961\n19321 31253\n22368 88350\n2258 85682\n20030 55231\n20754 63716\n19516 30881\n22844 89207\n73905 75557\n31631 37944\n23044 32674\n20108 87251\n50781 83387\n23830 64579\n489 66804\n66709 72131\n92521 92747\n60803 84247\n5845 17272\n37475 49804\n15345 59508\n55144 88116\n18578 80239\n9293 85043\n50689 57204\n25324 29466\n27236 54468\n10310 26723\n82250 89229\n20856 23400\n59252 87519\n83828 84849\n17412 83827\n4341 71963\n9437 82540\n33041 71874\n71713 73544\n12232 73262\n7267 13422\n4636 31642\n44667 80260\n77683 77965\n46989 81693\n7694 49676\n10429 23238\n8204 84258\n58323 69199\n22459 30910\n41374 68845\n60786 83382\n24509 37516\n26047 41931\n27037 39154\n58065 70376\n89916 91053\n46898 71564\n68272 93097\n79920 87963\n48598 52516\n25585 25935\n26182 70202\n50871 85492\n29527 90584\n8667 74931\n8854 67380\n58919 74093\n6976 50435\n48472 88367\n39541 89646\n38991 60486\n46467 76885\n63855 68421\n631 3270\n36917 38541\n23261 67673\n474 38228\n7185 34788\n1774 92828\n13431 15153\n30427 82544\n44618 45222\n32508 81092\n33185 52720\n23892 44192\n33694 85051\n26524 47559\n65115 87320\n15809 42210\n17808 48144\n18059 69564\n1351 4656\n57899 90470\n27796 77255\n3091 20833\n15002 48556\n73590 91546\n22084 72176\n8481 62248\n4877 22039\n39717 80688\n36964 51607\n33364 48451\n11157 35010\n37767 42719\n19097 71705\n36670 36950\n21188 63472\n18789 85524\n10288 11531\n20163 67068\n48129 90377\n47945 80084\n15138 89742\n65249 80988\n38536 39112\n60259 85169\n13490 76750\n15683 57267\n53828 77373\n42975 88765\n33493 53127\n6626 71338\n57840 67992\n28675 32863\n16628 35283\n35664 78885\n48016 91886\n5782 68613\n48509 50670\n15150 62441\n74263 91380\n8268 67396\n18869 47607\n810 32814\n28050 30628\n6086 24404\n62868 84931\n17960 89836\n25703 66938\n80445 92230\n71182 86052\n20519 79399\n75100 85851\n6526 22591\n33751 43320\n58151 75521\n21845 59677\n46471 89642\n53451 87590\n11155 31119\n7284 11474\n46663 90477\n6595 74453\n12547 76591\n48992 56255\n4189 61246\n984 33969\n41742 84730\n15562 51132\n73882 78648\n23615 78881\n7280 72607\n15980 70434\n47680 52703\n63502 72584\n56038 72366\n7193 60885\n7877 72416\n27560 66282\n12143 54476\n6453 45823\n19994 32366\n66076 85489\n49700 61389\n15977 70049\n61807 68331\n65747 85793\n38511 81052\n36435 86362\n22465 25494\n56259 64839\n29335 53429\n52752 83727\n39091 64958\n16105 53039\n22588 54048\n52253 88855\n27968 77287\n14057 81285\n14645 70700\n70594 82250\n5071 89439\n61388 68045\n65482 77865\n76407 87472\n36294 49475\n13796 64049\n1240 72199\n26560 72673\n7611 67427\n26019 53808\n17692 39556\n560 75152\n35595 61385\n31413 45770\n53836 63957\n55101 82812\n51952 69486\n16491 91243\n76277 91101\n14768 88466\n3177 7783\n14363 60072\n4808 27577\n74805 85717\n55639 65622\n27252 85672\n10340 71239\n5379 54083\n44583 59940\n21191 22035\n38423 71187\n82041 86820\n13827 35357\n16160 89800\n38278 49928\n41415 73166\n13022 64881\n64847 80091\n87373 89211\n41529 43675\n5240 34541\n13793 74502\n20288 80559\n47197 85311\n21786 80824\n17218 64594\n54222 64274\n17786 38817\n18374 76322\n43948 65386\n5835 23694\n51682 57872\n8217 11883\n43878 71685\n15845 71531\n19657 52608\n21946 64081\n64238 86187\n44360 59077\n15314 27892\n3338 81559\n35804 72239\n30144 41512\n66594 76643\n26710 50331\n9096 65686\n34729 84348\n55075 74906\n50855 52198\n8345 60088\n11271 44863\n39994 54693\n30003 51157\n21339 64098\n36928 84734\n4542 83971\n17155 60652\n50787 53455\n43513 86293\n20436 66941\n13944 47334\n84628 89357\n63069 89481\n20767 88357\n49818 55291\n18616 63813\n1720 38178\n24181 51717\n40611 62962\n30223 59644\n43021 76286\n12043 88344\n43153 75040\n7123 66772\n39872 58043\n7684 39209\n17326 73881\n7937 18986\n15474 35714\n5811 87700\n40449 66192\n60 19681\n42139 89795\n81655 87132\n53018 53375\n11004 26545\n57458 65812\n38846 79028\n41706 46773\n12748 48982\n37379 54335\n47308 85156\n37139 85126\n35996 80147\n38579 85362\n34633 87480\n6598 85082\n25666 64466\n37020 55995\n37963 49461\n19287 30271\n1479 37925\n21376 59533\n10290 52236\n4297 79461\n15684 35964\n11569 52980\n6894 84173\n7785 79358\n8868 53840\n49889 82378\n24251 55741\n55389 92295\n11084 91935\n79415 82484\n20212 30673\n39135 86165\n9273 44397\n30157 51415\n50865 76020\n3991 88879\n4313 56061\n27127 33119\n16712 33180\n13229 53284\n57247 90981\n62596 68924\n4501 85246\n36696 66508\n32779 91364\n4716 63270\n9674 68746\n61041 73029\n25962 40230\n52602 66492\n23285 39442\n15446 56076\n14356 63195\n38479 77692\n5168 16813\n25773 30534\n11398 17237\n7895 77114\n20918 84433\n3719 65825\n32966 59052\n24956 38765\n39924 84408\n13719 90235\n22589 88857\n43554 73904\n64526 91145\n46612 50479\n37589 55071\n42433 89294\n54222 54306\n48733 83214\n76233 77167\n54183 90121\n43566 87747\n27741 57331\n20596 76484\n17781 64876\n51073 59623\n77285 90577\n4249 26139\n3342 52835\n8981 45982\n63575 74324\n5000 24466\n53797 61646\n46198 86830\n29344 34064\n51337 70390\n55481 72892\n83806 87458\n20442 48561\n1260 4456\n32123 51775\n19353 90800\n16886 46346\n41838 45120\n13398 87394\n13282 68523\n7931 34835\n25007 32383\n74765 78528\n63358 83411\n1723 21657\n9947 83326\n21558 81652\n55892 70193\n35297 79690\n24734 30270\n2057 11237\n28854 42805\n6887 57325\n2833 44004\n50476 69928\n20421 88888\n53634 54720\n31872 82817\n47996 86457\n42211 79342\n8910 20095\n55223 63206\n2609 65469\n60728 86313\n3174 31761\n16449 32223\n26680 48064\n78563 82514\n13937 27307\n56217 81228\n8964 56418\n13587 49533\n25246 53567\n70407 71952\n6040 34662\n45580 84567\n69666 70776\n33489 64705\n33947 84277\n39888 91474\n56627 61886\n39039 91182\n19128 52674\n28098 43837\n9881 16067\n66662 69009\n44496 71025\n41348 89402\n25914 61806\n43570 79123\n25911 68948\n11794 46368\n28171 40917\n52473 54869\n810 12780\n67988 90344\n78165 80349\n35923 37627\n19585 38731\n13513 18250\n29272 37403\n31808 46003\n22725 47077\n83654 89423\n44019 89763\n3929 66635\n34025 34809\n15389 44135\n15079 30534\n20309 64274\n11386 71485\n11142 56140\n10220 49314\n23140 24344\n56336 67671\n45109 48193\n27911 43490\n31054 64681\n11626 48213\n37187 81325\n48910 79608\n32545 77479\n32262 48387\n5938 60560\n84930 87852\n1589 86537\n30921 61824\n29917 92352\n25054 70842\n75105 83898\n22513 56678\n41194 52697\n6017 56049\n8940 33242\n6908 26772\n21756 42409\n5865 49369\n30816 77832\n1117 77925\n64206 65840\n61990 76158\n21136 91447\n2806 71584\n26519 33001\n29621 69679\n60900 62270\n42176 89368\n43530 66729\n16189 87789\n49842 53353\n10919 80020\n38405 67767\n18193 59541\n1640 45920\n18626 82975\n3090 29522\n6645 14457\n40887 73910\n4370 20335\n21772 59366\n75284 76041\n6020 10146\n8315 82382\n18503 21107\n42234 73752\n26364 83410\n15286 46841\n63888 77342\n21526 45303\n20575 83701\n60211 86430\n48039 80040\n50308 57679\n19254 46160\n74594 78187\n50355 79015\n47288 74930\n81106 87784\n38220 86608\n21590 24695\n15291 64679\n25409 64096\n52880 85269\n24767 51436\n29264 73907\n34174 46791\n8818 84043\n22941 79515\n25317 62385\n73436 92967\n64955 74615\n19368 50693\n50418 90781\n25352 80468\n31131 92575\n65201 91528\n53407 63989\n29674 76651\n29646 75197\n23734 75720\n45080 53467\n29317 72668\n51 18929\n5500 55602\n44683 51842\n18404 39107\n53696 62104\n2798 77604\n50464 74049\n15608 50051\n7957 64813\n6333 18606\n1133 62444\n10858 59861\n46321 79654\n5033 72389\n51090 67863\n7954 77920\n19221 80136\n12459 35207\n4351 41635\n42068 48587\n30622 67136\n70578 74993\n24840 45186\n5896 59619\n4958 76788\n57688 68142\n23614 32113\n48290 87480\n64535 76169\n26206 29016\n34623 65263\n63115 83043\n6724 23865\n60435 85428\n25802 79943\n2836 31093\n22408 40254\n8033 25849\n1577 42214\n9311 58955\n48155 85728\n37437 43755\n30047 70059\n78851 78885\n32363 43730\n1156 37656\n48269 91341\n60907 83179\n29465 49937\n11979 30741\n14693 54947\n55061 63093\n20873 44453\n65868 77304\n11089 71835\n22330 81685\n32079 51611\n54046 54849\n20710 62510\n75780 88972\n8741 90383\n16332 47809\n77376 82440\n60056 67580\n10571 56366\n45536 75711\n2630 81197\n28916 85218\n41053 78780\n409 47058\n47809 80584\n39418 86231\n48271 57485\n17011 47685\n26205 30674\n57534 76985\n8458 35406\n31444 57936\n28339 34236\n53402 66523\n37095 40642\n81050 84516\n5957 34566\n33177 38911\n79491 87863\n17508 65667\n20581 73414\n1137 16655\n75632 89633\n7755 73741\n29209 51251\n59210 61357\n24761 57140\n70804 77820\n2603 64041\n68298 88163\n63783 86746\n34371 80033\n30217 68504\n11394 26250\n746 56819\n9405 63908\n1607 83668\n13202 20627\n81695 88953\n33251 40399\n18516 32379\n4003 15135\n29340 74442\n2917 87598\n11848 74667\n57422 67665\n85096 88445\n8007 47985\n4192 8411\n27244 59734\n23257 59137\n2672 9783\n22661 79253\n6190 51302\n23511 83881\n1744 6731\n46493 81331\n58654 70440\n30436 81688\n8746 49122\n26228 41702\n86259 88499\n20402 50765\n20390 79324\n22230 47671\n47284 47495\n15154 85482\n23649 71855\n8524 22584\n28115 33042\n27122 65566\n25666 71602\n26299 61823\n32029 67807\n48843 79349\n4813 61524\n49577 68831\n9183 23324\n23194 82250\n76857 88121\n50611 73260\n3026 34597\n31227 48430\n5140 55073\n6628 18270\n8075 23531\n31253 50953\n20850 45290\n23348 30175\n48476 93094\n45814 86239\n27743 34622\n35612 37349\n59731 69753\n52340 52719\n603 10561\n18609 83214\n25463 79837\n47585 75350\n40635 43578\n25884 38263\n14818 60641\n20176 55781\n56541 69333\n61994 81212\n60921 64907\n44259 66932\n7431 22867\n68094 71118\n16570 42769\n33386 75192\n28411 69438\n43952 90935\n11346 62280\n5387 54665\n1896 6579\n44911 81453\n33967 60649\n26934 82555\n21541 62447\n11599 44341\n39148 79519\n34997 86623\n7562 23634\n33019 57973\n19356 56909\n49190 51764\n25908 63616\n21444 62747\n13896 30803\n32826 49954\n66669 80233\n14680 62591\n14726 62496\n56864 69515\n60439 92286\n8994 32506\n63285 66329\n26961 42037\n26115 30480\n1087 27582\n55426 90903\n83166 85014\n46457 52507\n7632 65654\n28323 76769\n6852 30074\n28023 65721\n20712 58890\n32578 32808\n17892 19919\n43966 80624\n46563 70088\n86005 88492\n30242 37466\n33330 46142\n45635 53558\n55166 59947\n2574 72405\n5081 64717\n21116 89619\n53638 80596\n17210 44749\n26103 55915\n365 68988\n9082 65815\n24457 69066\n8628 72855\n10410 67719\n12637 53960\n39482 68445\n66415 80752\n25741 26261\n29097 60336\n16201 78762\n17314 71156\n49986 51603\n85607 92147\n61962 81303\n43907 46098\n52119 64245\n53910 79189\n63257 82695\n9846 55504\n60811 71178\n38266 69455\n11991 14448\n8202 78847\n70299 78631\n7821 89365\n3392 61097\n40487 80548\n12872 22843\n34750 91578\n12776 53582\n33269 88096\n59357 79385\n9613 27452\n11029 84836\n64720 73038\n14673 78239\n57388 65073\n15811 34906\n18089 69884\n28613 60651\n24632 82131\n19793 61299\n48573 52125\n11817 19315\n40355 65991\n8996 31544\n17851 58319\n2410 56847\n41075 88399\n9443 17838\n51102 74316\n29526 74840\n20356 53066\n32409 49819\n71604 76852\n29817 56060\n46634 56583\n54520 80047\n31762 88530\n58117 81471\n23890 31320\n40207 72152\n63894 85692\n16907 49257\n15176 69807\n4235 89655\n53488 85940\n52480 78323\n23346 42845\n20626 68806\n13053 39250\n3787 33117\n82500 89325\n33060 39296\n14359 72123\n3654 72642\n44809 80551\n39549 54309\n16802 34944\n33789 60181\n44280 59695\n62222 62621\n18754 32403\n73108 73678\n10225 67499\n4252 46373\n24128 76230\n2599 67112\n81735 87522\n17058 82939\n3116 14934\n82546 85951\n29272 90452\n25074 44262\n7084 93118\n32693 89981\n40841 48754\n12977 29804\n16098 21012\n24238 71731\n5780 29511\n2823 48972\n43207 91687\n59870 78834\n31730 83856\n15922 58558\n21993 70799\n25630 77049\n46929 64425\n77787 93095\n206 29335\n48933 63208\n25071 92720\n6460 75440\n13367 70805\n44414 48497\n70605 83416\n70044 83795\n88125 92941\n1444 12208\n16251 90542\n41924 79204\n18189 33325\n7436 23315\n16538 76924\n50068 55044\n36009 38415\n54055 88326\n7936 10623\n35492 40268\n62385 74250\n30473 88935\n30784 37058\n25058 72362\n34551 37851\n36325 57219\n29774 70105\n55111 66753\n17541 55368\n79174 91154\n23596 68287\n13737 38808\n14597 68589\n61124 62015\n17493 70692\n30977 88913\n2036 30418\n22284 23522\n48357 72789\n9522 48600\n27830 54796\n59541 61403\n4961 87686\n6505 23131\n4438 84416\n36689 88590\n67234 82444\n49057 73809\n11620 58252\n38175 44771\n14184 38600\n3767 75774\n58612 87481\n27278 40204\n41709 80259\n23900 25642\n18721 44340\n25235 53248\n24591 77798\n51819 57838\n11516 52065\n6347 77146\n25345 74567\n1821 81790\n49801 55545\n10840 38975\n41777 88561\n30561 81016\n17316 72634\n74032 83429\n38489 88815\n7003 24245\n49435 60940\n8363 69223\n43486 55552\n48071 83888\n26348 29702\n37316 77752\n22785 74552\n74822 89740\n82814 84357\n62931 83361\n11829 67180\n32095 78291\n5082 34726\n46941 51153\n25371 39824\n49033 81830\n19912 41684\n46746 92549\n63 35991\n7223 82631\n4355 75914\n43853 86109\n62513 74907\n30546 71016\n32202 44233\n40600 59274\n27619 58962\n51910 92505\n3485 42286\n47967 85357\n36707 45019\n25324 73405\n69982 72138\n30100 61514\n9365 69986\n19791 63611\n29871 69734\n14135 71209\n25342 26468\n7178 84042\n13605 70294\n14052 87598\n55017 89690\n29782 72980\n3339 31599\n25446 92942\n59053 79452\n2399 69633\n23414 76413\n49740 80125\n16786 74805\n58737 91138\n28479 89130\n1161 54368\n16045 72334\n20197 45705\n526 69796\n29944 89908\n33625 89103\n18855 48854\n55075 70813\n29782 54749\n86105 86980\n38688 58198\n54120 77477\n23987 50808\n45608 74127\n25640 58415\n63813 91544\n13550 78877\n13418 62116\n181 64921\n58831 77809\n17947 61302\n24359 85269\n7331 53273\n3542 13402\n65261 91390\n58862 78306\n37798 86085\n24511 86527\n30702 71098\n35736 87884\n42553 59031\n45986 66425\n21413 70282\n43032 52318\n65440 78064\n15659 92006\n26626 39023\n8686 38208\n61938 92673\n29533 31799\n14948 79649\n30466 66357\n24330 55200\n53501 77116\n26326 62019\n44574 68085\n45556 54171\n33469 63743\n432 86130\n31288 84834\n43773 54407\n27257 34186\n16292 66331\n40246 92217\n49401 62361\n3919 80808\n15082 52670\n3804 19270\n34290 40340\n3201 4406\n35619 60358\n4716 33228\n34352 62593\n27560 76539\n61889 72026\n10501 13220\n6164 36309\n67883 88519\n731 47709\n41116 46705\n7591 85969\n11162 18067\n70310 87467\n48209 82766\n9264 73168\n76954 82916\n43553 74999\n775 87812\n10102 73276\n10591 79951\n3053 84658\n31776 87830\n20239 67046\n5454 11477\n45703 82601\n15181 62557\n23530 44085\n52378 92381\n30687 77778\n50985 76521\n50798 72459\n34538 62804\n2470 48814\n55425 62940\n47332 85315\n38277 88486\n9381 52737\n23749 38318\n35496 83003\n62686 64627\n18550 69388\n27483 36719\n31830 64623\n36716 43186\n44735 73635\n39499 53445\n32656 77814\n34867 38044\n51152 80458\n54055 60037\n25214 74691\n16163 45739\n31319 56608\n70460 79865\n15619 39092\n36465 89732\n51769 64662\n65176 89176\n20671 71779\n37910 78807\n22170 38468\n61096 62309\n13221 85466\n49362 70519\n1587 60487\n31955 64046\n74766 76586\n12791 74559\n31993 66887\n14737 52326\n1292 18227\n28284 51340\n56553 80114\n13863 46279\n7082 27969\n57224 69002\n46570 70261\n8617 91234\n30054 81867\n37034 78985\n3731 86952\n57672 76214\n28 61762\n5314 14454\n4621 86900\n55882 58696\n55351 63883\n16279 43867\n43020 54853\n26817 81550\n37607 48545\n38811 75971\n44330 85296\n27676 29435\n68797 87214\n36712 47812\n43727 47798\n20371 92779\n4362 48503\n4545 72058\n37283 77549\n17405 60416\n18348 43010\n79188 88984\n57573 65389\n7810 15392\n8149 84286\n34973 68401\n26279 75473\n6564 55367\n18755 46363\n81926 91897\n31523 67420\n61184 67252\n14391 31153\n73471 91137\n67188 70929\n39622 69484\n29258 45412\n43040 47995\n23074 51682\n16775 75245\n82 45406\n14895 45895\n76294 88532\n22529 28997\n2059 15825\n31188 67604\n3202 51822\n43151 82325\n22128 31305\n11503 72274\n28366 59778\n10563 50421\n21939 27063\n28494 49469\n33811 51311\n11758 61974\n3919 81388\n59039 84387\n15065 68237\n23942 25842\n19125 53413\n32404 67566\n45310 64784\n42257 55763\n447 73375\n64031 73877\n43676 76443\n67892 77408\n17827 26262\n77132 91548\n24697 54581\n7834 66709\n19298 28752\n28989 64788\n65203 85929\n1736 78393\n41823 56321\n25728 64825\n8414 8417\n45802 91583\n10288 16634\n29213 70381\n1474 35782\n85360 93146\n23044 71709\n11911 36168\n62034 90832\n205 1099\n32579 36780\n53126 63575\n19896 73940\n34368 83552\n19968 74384\n57608 80443\n67529 83147\n51874 89728\n33483 63544\n50362 52217\n23375 76911\n3633 89523\n45274 56146\n11770 18858\n26513 79778\n41612 56605\n34590 37887\n4651 59998\n10494 70149\n6948 55362\n7893 21241\n22076 81121\n4940 81821\n65773 93033\n35263 72024\n59788 87590\n26213 40154\n9752 48094\n65772 75662\n12479 75102\n5882 87882\n63377 83708\n31015 73972\n72601 84041\n82109 84935\n9337 26779\n24300 65247\n67903 81742\n41478 78959\n56896 61609\n3741 89601\n13886 30315\n1705 61256\n29860 58498\n43746 83272\n61086 62422\n47899 55585\n6459 64292\n172 78559\n16360 91063\n32609 63653\n10991 79819\n10464 74248\n11966 49700\n10492 47976\n47243 74827\n16644 77028\n64103 87225\n6909 20782\n18602 58260\n31356 35767\n49069 91373\n3863 77976\n14388 54248\n54750 68787\n34083 57239\n42540 44659\n8619 39631\n28944 41982\n63043 84158\n39314 90834\n14325 76708\n30230 38727\n11240 40588\n19039 35351\n3454 38484\n24061 49610\n9572 24038\n49873 76968\n40964 44673\n19326 42497\n29170 66276\n20204 31508\n388 68704\n1304 71307\n30607 90559\n33016 89329\n73934 77110\n23887 54521\n40635 92567\n70924 74157\n5832 23870\n54091 86792\n1776 14710\n5326 76241\n68744 90481\n5843 10801\n21002 69757\n522 16134\n42552 57675\n1952 42291\n6341 46611\n80749 84924\n9958 61054\n41052 64176\n42518 63656\n19313 42127\n56380 74861\n33189 61758\n36525 45179\n5544 51556\n9010 43761\n72727 88280\n83032 88738\n52571 85335\n15292 17515\n10226 55219\n31497 44444\n16155 53893\n15403 47196\n71997 92234\n52936 83383\n9877 51933\n39179 52064\n27969 91705\n22523 69781\n14274 60663\n27712 62721\n10556 43214\n11119 37187\n82264 91478\n54330 73465\n14105 56649\n44234 72238\n13776 89091\n8635 16097\n5438 20917\n50812 67746\n17081 72677\n19381 41327\n2474 3793\n23139 75109\n36535 60373\n14326 79916\n68600 91312\n39436 52923\n59557 78271\n58983 83144\n24863 74165\n8954 71999\n7559 51597\n9879 13013\n30473 58108\n24595 75356\n66588 85296\n11450 38930\n71791 83619\n18725 58251\n24785 85766\n47528 86615\n29062 79373\n15720 92360\n6817 57682\n766 43227\n67513 87128\n4249 65711\n17251 82299\n3677 15884\n21390 63945\n32726 39006\n10473 47138\n68546 86388\n80703 92466\n20067 40375\n3470 41721\n28373 60225\n5272 48041\n14774 21844\n8169 91060\n24592 65815\n16024 86757\n45852 59943\n26338 83452\n39357 45678\n53573 74293\n38546 52489\n20896 73062\n5445 10930\n54667 88644\n46189 67950\n6881 90105\n54448 75495\n8833 70923\n27356 45428\n22603 25794\n28906 40023\n599 15400\n29268 66162\n2318 67090\n19085 55146\n1506 34691\n17035 87034\n8756 17467\n79967 85550\n19764 39346\n25688 39175\n9638 29609\n15929 34081\n55234 78658\n55981 60003\n14158 73646\n11671 20664\n5022 25785\n17384 85848\n86085 89645\n63824 78104\n8014 69155\n62141 69033\n51981 62634\n26053 79084\n34648 69005\n703 24749\n8678 62274\n13131 32284\n4560 89417\n21539 84486\n7036 61619\n10937 64356\n44432 82817\n22985 37869\n47997 77416\n82566 85717\n13338 26869\n21662 28054\n14078 67362\n30119 91610\n41315 59178\n21954 88047\n59203 74638\n22797 25239\n1297 19457\n38889 64173\n7540 51980\n1864 47549\n17547 56417\n3358 75507\n51628 67671\n31490 84734\n20036 92315\n57447 63627\n26138 39667\n22723 25535\n1515 21603\n60966 76591\n21506 86744\n77630 90565\n39550 43746\n13788 69684\n8035 92066\n45606 59910\n46865 87126\n3325 45938\n57303 64378\n3069 56636\n56409 73992\n49782 65573\n25984 62472\n82868 84255\n73615 86234\n11790 19222\n8375 69178\n30686 82987\n53639 72579\n9411 67512\n15048 59615\n30492 36899\n44668 68877\n9043 53611\n3449 85166\n12495 79134\n36716 81647\n3189 66768\n19489 75090\n58324 82433\n1059 80648\n521 56991\n4218 29100\n14554 36059\n11866 90702\n8954 90658\n8127 53157\n19387 70447\n68148 93050\n33696 58033\n9766 13872\n4469 92182\n11967 86445\n8713 62143\n36800 69467\n15378 69769\n69063 72467\n30714 65291\n49184 51579\n65248 79917\n24803 88318\n17592 52388\n10512 20280\n75948 91861\n73904 88568\n59388 71272\n18937 28494\n5663 62953\n26966 43838\n18708 91166\n40322 91444\n14486 48005\n42622 47534\n10569 13999\n71280 76649\n25631 63761\n53628 66421\n66671 87621\n19487 73289\n73416 88595\n13445 57153\n5761 92729\n43680 60080\n47388 59662\n26110 65896\n18363 48065\n31899 72414\n7818 65120\n30164 83120\n66146 91997\n3782 33489\n66424 74921\n13482 54738\n17297 84301\n920 42302\n10416 25785\n38090 85095\n7353 39425\n1572 50892\n49123 87262\n13090 28565\n51973 86024\n3502 6106\n43622 84811\n20967 57576\n21717 84924\n578 53846\n25053 58573\n5928 26759\n31685 53104\n11970 13754\n74492 83612\n28582 84030\n35556 79941\n54228 76656\n65019 84840\n72157 84073\n17551 92917\n7253 47764\n9141 82612\n37699 48431\n32367 41279\n34481 45802\n9396 53205\n28240 69223\n57644 90636\n64701 92101\n80975 88556\n47270 76531\n13916 50508\n3556 30049\n130 7546\n11095 68333\n50138 82262\n40244 46731\n42810 75113\n21720 73378\n5243 63734\n23185 76838\n1590 22028\n14624 27747\n17817 81497\n39482 61226\n17494 41795\n16150 19553\n13790 86135\n10751 89386\n61469 73728\n61666 85061\n10244 72556\n9399 23119\n2462 58333\n23710 79576\n1424 22326\n62336 64425\n18381 64704\n11110 50999\n12003 53888\n51497 68833\n4572 59766\n974 4391\n2069 31576\n5556 71137\n59459 65735\n54379 87484\n32454 42140\n24578 51002\n33746 36935\n50966 71130\n21307 23046\n75482 78785\n55679 79043\n37317 41767\n10169 38978\n63849 79664\n26086 50152\n32976 45983\n64946 81840\n31624 37466\n3423 7134\n42355 85950\n45537 82561\n18227 24161\n59207 64206\n69851 83375\n61007 92549\n15290 26817\n35274 53316\n53871 85378\n40940 72032\n36342 84335\n3391 92204\n59939 71107\n1337 10112\n79159 91674\n26252 79869\n37541 51280\n23483 37433\n51583 66209\n42056 52066\n1551 51996\n39726 45663\n63390 74878\n38732 66470\n7361 82212\n2080 82600\n41691 74269\n22131 75087\n30084 36157\n52309 79586\n5456 8472\n18409 58355\n70720 87925\n56710 64134\n13964 40782\n42696 74573\n37893 62865\n77923 92866\n52517 80534\n23920 55757\n20052 36354\n31885 65628\n59336 76763\n40170 69170\n19853 37476\n21654 35081\n30403 38961\n22543 46494\n30031 56327\n31604 53807\n17599 30825\n34599 61163\n29219 37638\n65451 88091\n16105 69024\n9659 12323\n45281 66843\n45822 71914\n18535 63934\n77044 79719\n50701 69881\n63132 76792\n63563 84118\n87426 91436\n44925 60114\n12208 87650\n11621 81520\n6372 66276\n13670 40454\n11550 31764\n637 19638\n65128 67559\n86341 91589\n31931 84234\n71188 81138\n43456 78296\n4749 39969\n62432 68614\n67489 85028\n25791 86696\n14417 20308\n1177 29443\n3602 18591\n19441 77197\n5700 47476\n29792 43397\n42952 91804\n5747 34786\n41329 77887\n25466 29216\n59281 65197\n14094 75578\n56468 59582\n9263 76348\n13207 92601\n45611 48926\n8882 22709\n81824 89275\n51933 84467\n20700 67276\n24142 82156\n46005 90839\n8070 89004\n80202 86618\n40975 76269\n5478 92774\n14585 64646\n45863 66815\n20280 67381\n4166 89355\n29540 43311\n5053 17912\n32410 42979\n22524 38344\n51397 70524\n33283 88191\n17088 40561\n28568 47160\n47767 55361\n50464 75272\n24423 74131\n1510 85400\n24625 87989\n25078 80441\n60211 82447\n37487 82475\n11941 52400\n29385 57549\n1897 67845\n64122 69820\n27843 63678\n28205 84479\n50223 62835\n13476 50399\n14446 71397\n37658 66596\n34549 63639\n46052 73410\n40188 59924\n16683 46624\n28863 40897\n77163 92549\n11378 58116\n57105 83952\n5836 47760\n17279 32124\n26697 68343\n64579 66965\n33394 77680\n71977 87741\n29870 65817\n45922 46821\n59875 69934\n31621 63266\n15732 31614\n43569 45521\n1662 31255\n5503 81588\n17521 22936\n58420 91068\n6430 33961\n30394 49154\n62966 86458\n36857 92300\n18316 57055\n76078 80012\n41345 71902\n49665 68348\n29211 87713\n8591 62299\n7522 67210\n6081 39092\n32196 67999\n29394 35391\n35677 51826\n16734 22209\n27748 73153\n66854 90298\n16515 61799\n56174 87192\n83112 84477\n20378 27203\n28141 66079\n36514 36632\n61912 68583\n12295 20196\n4828 63868\n25789 35783\n13789 89273\n38782 42705\n66442 84903\n21465 34523\n11540 45334\n6696 80958\n13281 36480\n20348 32796\n19716 42544\n69712 77174\n29873 66542\n17774 48499\n21894 42919\n37312 50408\n33248 88501\n66210 71731\n52448 72285\n36586 42284\n1310 49556\n410 76987\n45685 48055\n13565 34694\n45325 81692\n60519 71302\n35755 75554\n42848 93093\n46105 53809\n16061 46447\n6897 38169\n28094 92495\n20231 80346\n40337 55359\n4026 30623\n62775 83106\n82567 85475\n79048 82722\n35218 70025\n61712 90610\n23109 60990\n10190 24545\n20761 39056\n17922 37935\n6385 45725\n9380 71110\n56208 81884\n14142 93073\n35510 73026\n53836 81467\n41710 91214\n1313 7780\n42985 53763\n36228 56488\n1536 78532\n59496 80780\n2092 8811\n55597 66250\n23915 55503\n35545 46059\n25585 74235\n69300 83001\n25636 29128\n66261 75205\n61930 78669\n47792 77213\n41529 83602\n22282 30012\n23285 67369\n17294 25071\n14324 36278\n46167 67236\n53423 60993\n36606 82996\n38917 41470\n61956 92022\n52621 91639\n56629 82901\n10279 14996\n1178 52377\n47987 83275\n37039 88107\n1474 74418\n15622 76658\n14967 33908\n33526 44539\n22869 55027\n57574 68090\n12514 16788\n77725 79228\n7509 60380\n63560 88940\n38507 88645\n12597 16308\n15485 70302\n16955 68019\n54813 68310\n13206 73577\n38595 41493\n65059 92190\n2810 74470\n6251 55371\n54979 81519\n27267 51169\n1530 69155\n51580 83421\n39391 55669\n49578 92461\n23487 74375\n62408 69314\n45441 77813\n14186 24355\n42271 63023\n78249 90785\n8430 9976\n65053 76708\n65956 76080\n20205 32240\n9892 53960\n17606 47046\n58 58837\n38412 56831\n8565 64936\n25095 65764\n5254 8239\n3301 20628\n61606 64418\n48382 82142\n10184 47218\n6097 91904\n61521 82444\n7313 43098\n32739 33215\n12246 87523\n26189 29984\n68916 82449\n4802 32073\n23786 42849\n15648 90092\n1909 60358\n18299 46135\n10711 23297\n40370 60363\n8928 23677\n22037 56793\n7353 18015\n64946 67946\n5334 66770\n59875 74210\n43894 47505\n37895 66981\n14708 91361\n20110 65033\n42491 89813\n2675 13975\n17475 71696\n36193 52927\n43651 66009\n13967 72301\n31622 72945\n24766 71720\n4536 27166\n31705 61074\n50908 51938\n41451 77644\n70766 71129\n39784 40986\n13242 86800\n57472 76532\n19529 92011\n29630 92709\n78617 84940\n48569 81631\n8118 89333\n20737 64355\n35042 67170\n5752 16761\n67661 78926\n54395 73697\n71210 83659\n52595 61728\n44814 78575\n37962 72623\n29916 84520\n56368 77606\n4997 62937\n61980 76451\n32743 75878\n38180 81770\n14773 17485\n45776 92260\n86 88225\n576 49728\n51043 67981\n61123 65558\n994 31607\n51361 77992\n12134 43337\n39444 73359\n5206 79378\n22845 61218\n22996 51533\n19171 62029\n22377 77743\n25511 80540\n14025 77362\n1312 83917\n5552 16401\n29156 51091\n811 86792\n44890 48402\n36864 80107\n34846 82013\n57055 91442\n23388 27596\n17544 40003\n71853 89736\n4718 69311\n11484 50965\n2422 93097\n51315 58722\n26614 40070\n3667 17098\n693 56240\n9519 61732\n31584 46069\n5841 36703\n13198 66948\n52383 60636\n48676 90741\n8168 45909\n23530 66228\n45495 87386\n90159 90385\n69608 89167\n12857 33026\n84330 90553\n603 13531\n13513 64328\n35292 40650\n50803 83615\n68050 84336\n51841 63159\n8883 57563\n59337 59590\n5915 67608\n4380 9039\n79520 89038\n85953 88842\n48019 58113\n21557 24695\n25155 40536\n10832 51467\n33455 82190\n60925 76838\n15906 32343\n13601 64652\n36724 62953\n31792 69850\n19006 86222\n46383 46852\n8132 72094\n7631 55492\n40585 47331\n71947 80992\n30949 61118\n38798 63181\n27770 76085\n32877 80701\n75312 78927\n33633 76599\n29784 61107\n33855 83535\n522 61080\n24241 44821\n25908 29706\n22075 34968\n9641 39451\n19626 70444\n44109 53580\n19780 83081\n607 80601\n22808 40702\n66338 92183\n56 23643\n34035 83743\n26236 65538\n74222 87762\n1873 77270\n33807 78104\n15442 80418\n1618 18505\n14118 45596\n5522 92564\n29708 36068\n41831 67111\n7493 56237\n109 43372\n684 26783\n17494 70407\n20819 89416\n60923 79113\n36185 55030\n25597 37232\n11350 34822\n30480 78256\n1662 2512\n1497 55139\n54719 61022\n41895 57567\n47998 75250\n7804 54502\n6431 26094\n2615 15827\n34048 72199\n3909 80429\n36434 82640\n14372 46139\n79285 82538\n47291 88617\n33663 64518\n1219 56670\n51701 86215\n21439 27584\n11552 30236\n24419 51779\n31636 59027\n42185 50963\n293 9582\n54422 81911\n55014 89900\n54862 77438\n33757 55695\n12698 70917\n14781 20874\n16719 54969\n4556 80826\n196 85823\n61245 69529\n20879 55221\n14734 59024\n28692 82742\n1392 89650\n80605 82879\n39788 43255\n68403 84331\n62142 89521\n29656 89943\n79486 86932\n15081 26354\n40948 85148\n10560 19823\n58262 65643\n8861 10741\n54497 65530\n17037 21322\n3851 70431\n31212 35257\n50235 79762\n32017 32253\n5765 17546\n17238 54213\n18882 41957\n35801 47220\n78516 88147\n34583 69896\n111 14186\n60094 67309\n14521 66705\n61948 76678\n38235 60274\n69328 80779\n7484 78072\n18377 68550\n19100 21304\n46139 54552\n43939 75809\n23182 85511\n78766 92621\n1147 49451\n10004 63184\n67927 87404\n31921 81065\n45570 50824\n6549 18613\n5569 90848\n6472 75731\n23006 40055\n60526 66205\n26496 56537\n5623 57556\n1873 62217\n8195 25027\n22667 75728\n14438 33894\n4477 69484\n297 74412\n22180 23561\n40666 79519\n23786 62943\n52276 92268\n70462 71018\n9218 28835\n31911 89199\n17354 57979\n5752 13419\n10845 68842\n68655 90569\n24822 43362\n26709 88670\n67267 80554\n58877 77792\n22532 57880\n72674 79701\n12621 35379\n41701 84018\n67181 83167\n6288 19271\n12679 36953\n40267 58943\n60825 67274\n30644 63520\n57010 85723\n60069 60129\n51361 52640\n42859 59931\n4051 86523\n66330 90911\n20767 88102\n24821 54878\n19014 91192\n60801 68565\n34270 81603\n66229 68361\n4425 27096\n12189 34547\n5125 40083\n27246 51441\n10326 50235\n28048 45473\n737 71466\n32112 57163\n33172 82679\n41311 91208\n42950 83476\n27261 66302\n21043 88173\n77985 92321\n32205 35958\n69192 75368\n5653 85869\n7526 40674\n22888 42082\n19893 90037\n43883 70512\n30833 82192\n20527 82410\n12023 27406\n80875 81128\n4562 71404\n2306 59115\n4456 9087\n832 90611\n31176 48198\n18771 39491\n78904 85384\n4191 55125\n22450 40272\n13710 42686\n69853 89540\n77389 92433\n52175 78975\n8982 29258\n2077 4030\n42519 44190\n10937 49631\n71331 82861\n41039 68280\n10130 59028\n18714 30345\n32463 71704\n50702 77209\n12113 74800\n38009 47466\n45580 84265\n35059 84537\n24512 56870\n1644 87632\n30415 49086\n70605 90309\n79845 87653\n2470 63518\n18763 81490\n41279 47371\n31241 88681\n41701 46546\n51095 85954\n14057 73489\n23330 60047\n70511 90955\n84678 90149\n18427 62584\n30753 54918\n16107 39761\n8013 91832\n19956 75600\n48125 73773\n71037 90326\n4374 48067\n44081 64114\n14925 87951\n5126 35395\n18008 59799\n36849 91676\n37633 81570\n30230 83403\n30219 31669\n18886 47212\n68430 74398\n1100 75371\n8617 85733\n1363 60737\n4243 31052\n64528 86909\n27345 29323\n62672 70447\n14433 23945\n41642 59780\n3354 48343\n30538 61152\n19092 32866\n26463 60937\n29766 61897\n6984 66800\n31395 36267\n46995 82628\n32354 38259\n36521 46028\n7230 20493\n2294 61407\n11848 18529\n5280 70885\n40894 75950\n20117 43787\n38062 90193\n2368 11276\n28544 52688\n29876 49651\n73040 74253\n5746 72480\n11907 81162\n34206 55413\n55520 81703\n59432 75303\n10085 36104\n54500 59556\n11765 59346\n15198 32044\n41376 63676\n54024 82997\n3923 88153\n14090 79320\n38341 92140\n10942 30501\n5346 44464\n29420 41785\n49898 90111\n3191 62452\n52806 80657\n45009 81561\n1365 36829\n21349 40299\n53799 68299\n34236 48337\n8811 84764\n35535 90783\n31230 39411\n6571 30146\n74433 84012\n44792 85268\n24036 72513\n22829 36342\n32067 46238\n6095 89685\n31447 64922\n17464 86963\n21611 55557\n60928 79969\n7245 88483\n5483 26798\n49907 82327\n9716 57784\n66329 76516\n59474 61382\n40858 74819\n9097 72397\n37186 59534\n39286 68390\n24569 82639\n2324 62015\n21407 71410\n5818 21340\n37033 44884\n63119 77589\n19993 74764\n11918 58659\n3188 85162\n19275 74564\n61750 77754\n11648 35940\n13536 20116\n32548 59474\n8434 74271\n67009 84297\n5158 76134\n13003 72730\n47016 72026\n25905 58220\n58511 62255\n31811 77779\n48918 82987\n11904 68594\n59677 86739\n40434 79184\n60661 66465\n17204 34655\n4609 13070\n36583 41157\n47164 67494\n49242 62660\n10934 87047\n22305 75996\n27919 77609\n22830 78973\n49672 58153\n26948 29433\n41897 63381\n35136 48987\n59760 84079\n846 90685\n33245 60797\n8224 80005\n36216 86813\n27061 90188\n62502 78244\n20796 39514\n15854 53130\n23990 79002\n14074 54664\n59347 69634\n28794 79860\n19689 81156\n9678 84035\n38514 69391\n33194 36780\n53293 83687\n60184 68743\n57067 79558\n8384 83742\n5428 36829\n17819 60155\n22257 27815\n7865 88663\n2907 81494\n73100 80187\n26697 68508\n18615 86784\n31553 82530\n43844 88073\n40435 86557\n6088 17082\n13761 75552\n37985 74398\n18551 74096\n82026 93097\n58082 91904\n42724 51320\n35083 91919\n24342 72081\n40705 55865\n82896 89165\n8642 64381\n16176 31789\n24072 84009\n37706 49078\n41162 70830\n39367 62990\n72136 84619\n68007 71358\n22510 60500\n35527 78515\n14083 56335\n14458 91396\n79665 84727\n30965 60658\n59577 76782\n16938 77052\n6537 40622\n49604 87258\n17228 75623\n537 13965\n35719 49867\n32827 49028\n48455 80717\n36949 54593\n73953 92338\n83974 84445\n66322 68902\n26431 48442\n17969 86406\n37199 53259\n3692 46069\n36887 61138\n5997 76600\n16246 36957\n50960 67995\n17492 24714\n57242 82710\n84363 86543\n70021 77853\n10991 28174\n31638 51968\n62345 65612\n61723 76626\n60046 88523\n69828 84612\n47470 88244\n8647 66152\n7255 81885\n11072 16689\n33851 45717\n19962 82453\n7423 39074\n46601 91747\n34167 88154\n36037 70400\n36030 56907\n33815 37303\n35068 55629\n4082 21173\n55116 85005\n13437 63993\n52003 73526\n22739 44790\n70009 79918\n66777 74907\n12052 74366\n58534 66678\n22772 65398\n75027 93037\n43572 47134\n48877 75607\n38863 71252\n167 6353\n30812 57204\n6638 55405\n16180 36015\n23462 37488\n74827 93149\n32322 86054\n21421 81609\n3856 49057\n334 19361\n11174 71804\n8060 34953\n25078 84006\n20787 28093\n50056 70523\n47058 51816\n12152 26016\n15137 62427\n70737 84494\n13964 51325\n29081 87739\n16718 23344\n32278 35260\n3565 13649\n17950 36315\n82675 86234\n66828 84698\n20862 79017\n11258 19111\n40492 58751\n11612 67522\n17939 53829\n71670 81344\n12592 84125\n22710 47450\n10974 48358\n288 54327\n19856 33923\n11873 23918\n17131 41173\n58409 74571\n70482 74546\n12308 14995\n37144 57336\n23337 73124\n81342 91260\n67753 82522\n27136 61608\n37168 62578\n24689 45346\n14478 41063\n592 80891\n57994 92817\n6462 67886\n29034 74202\n42017 92683\n31354 58996\n44477 64385\n51632 81048\n13064 70233\n48802 65919\n43927 87566\n17143 92685\n36952 89278\n4619 41850\n34332 91056\n37470 57478\n8767 9613\n63348 92335\n13909 77751\n9486 27393\n63958 79634\n18975 21576\n47823 88347\n26406 59631\n33130 77689\n26702 65081\n61153 66538\n34575 51029\n42554 82715\n32660 89854\n12758 27345\n29505 38251\n8721 39820\n38422 64618\n12655 15186\n81329 84683\n27265 78117\n51943 62691\n66554 74121\n10664 11838\n28967 65324\n28230 33091\n844 83212\n57788 74181\n18183 59055\n85286 88891\n25360 81657\n18179 43306\n41100 64868\n68432 80750\n10163 68342\n61862 63873\n14182 70986\n15707 27475\n30514 78784\n13347 93055\n18220 79747\n35552 49662\n9052 23450\n753 58561\n46409 75785\n52196 69978\n16861 41707\n29915 68582\n18208 32861\n13653 52142\n16958 75500\n32565 34724\n9009 27661\n893 92510\n33962 76147\n43211 52857\n59174 74404\n73586 91883\n15539 27503\n727 15294\n45212 73518\n1539 89538\n5321 37771\n39797 45483\n19575 56007\n24710 33257\n17270 43309\n63726 83047\n35541 39927\n8571 75204\n6709 70202\n20225 26258\n63094 87139\n41532 78377\n67229 84276\n48319 56851\n3440 29612\n8762 60095\n14546 87925\n26180 72653\n40178 82270\n37559 65904\n76757 79150\n5920 62143\n14176 25947\n13586 84028\n15232 50854\n55958 76748\n33495 44965\n44717 90343\n25463 39350\n16485 78344\n39847 39949\n81446 86648\n9330 69355\n57573 78969\n14093 82792\n1383 76721\n17692 53488\n43263 73432\n65892 87663\n7604 88577\n3569 92563\n8646 51106\n11157 78549\n17331 48204\n48390 66469\n11582 89345\n8318 57567\n17331 30438\n48209 69067\n16455 33434\n30067 49125\n42489 56798\n5827 43807\n31747 48747\n56563 90405\n28776 59974\n34804 49625\n74186 89725\n41642 89911\n54600 58933\n44757 74520\n45959 85733\n4944 19711\n56079 66425\n1759 47683\n62990 69481\n47052 82899\n10869 14900\n1757 16925\n82955 90741\n21084 28681\n33239 46624\n2287 16184\n4233 59352\n51217 52273\n24507 66220\n8116 27449\n77180 89622\n2674 34150\n4562 88291\n44060 49550\n38165 70563\n64778 67411\n12678 19301\n11137 20424\n62808 68526\n6389 75716\n48673 73671\n48504 72690\n58651 76610\n5077 15949\n31537 88881\n2648 86527\n1714 36610\n17124 88380\n5408 33387\n87091 90472\n39090 43316\n46582 64161\n29948 52233\n63895 77156\n41064 79461\n1447 7223\n23697 30311\n21698 71174\n59505 83983\n27910 92968\n37393 64907\n4854 64884\n20781 25244\n53271 86440\n40430 70708\n56779 60218\n2601 37430\n54652 66129\n41315 89065\n19017 54521\n73349 86237\n715 28475\n32341 77296\n1401 44197\n53957 85431\n31568 60319\n836 89516\n7407 34520\n57053 61767\n25148 80596\n23315 68805\n67336 81235\n82810 89760\n11 5595\n8282 26213\n14347 59173\n7824 14524\n25783 56614\n5533 50733\n36413 41172\n6775 51450\n16744 57780\n32169 34676\n7270 76963\n11656 47706\n74194 84994\n30015 69003\n18472 25826\n3738 54795\n89161 91302\n2529 10303\n1776 33824\n35083 42555\n24515 61280\n14322 63184\n29888 73893\n2376 32672\n31812 70617\n48137 76175\n1807 80091\n11844 33443\n6123 53171\n63386 77371\n41634 83826\n773 11236\n23512 47600\n47712 62685\n5780 55117\n35984 58153\n12920 76413\n45206 48274\n41456 53953\n23524 28000\n41337 57658\n26718 45248\n7357 22961\n30063 54169\n15179 52212\n11659 54304\n7604 84484\n34731 84027\n10497 51186\n68995 70653\n20905 56613\n16993 53921\n27361 65629\n81115 89549\n63575 70460\n1877 25992\n18949 48027\n40699 75653\n29026 63077\n70470 73853\n17982 58872\n89427 92323\n43488 88553\n635 55644\n15867 92779\n32317 73267\n38364 39887\n53751 86874\n242 82078\n4808 21778\n42106 62432\n60053 85379\n5792 21154\n17955 76414\n28982 69532\n67727 89928\n6398 38214\n24200 52297\n896 63227\n14591 36234\n40733 78865\n72174 92883\n4423 65818\n71727 80490\n1284 17095\n4524 55601\n10533 61274\n1118 56875\n10447 39528\n12877 84652\n8828 61256\n24066 51930\n3299 93047\n20362 33039\n26051 26250\n9788 54798\n42340 90036\n68825 93157\n12176 81823\n33915 43123\n2288 46691\n38747 68786\n11510 15356\n25230 89229\n63445 73667\n61997 85141\n6046 11477\n21828 54687\n28452 74755\n36816 54476\n8743 9213\n6241 91354\n36438 69104\n43264 44898\n71291 84335\n39113 85880\n67736 72851\n1580 56305\n85001 87721\n7095 88790\n62040 63670\n83627 89921\n49472 60716\n5596 83968\n36429 61263\n6911 29075\n63225 83058\n46943 57439\n5373 58226\n39146 41338\n73556 75756\n41377 89951\n71556 80651\n17092 24559\n22422 25787\n37964 86577\n73306 88123\n59544 70528\n4377 12708\n44128 83544\n10661 13278\n38075 74166\n58940 59931\n31208 37199\n3693 28040\n26313 78287\n35556 65439\n3506 71249\n40031 77443\n28208 84019\n321 29104\n25767 81782\n12157 92105\n63055 81283\n29774 35542\n14033 69055\n68073 70985\n3992 76842\n36822 59852\n64594 78854\n41780 49622\n1397 10470\n1 25424\n27085 32823\n41324 81510\n62961 87268\n4603 11861\n7517 56785\n5266 53906\n72027 83327\n38005 65624\n5891 17371\n30112 84513\n434 27582\n29469 61115\n14839 77260\n41051 48463\n20376 31693\n21077 32733\n163 88973\n47113 85650\n45242 73889\n56604 73356\n54565 75380\n69996 81145\n9368 41607\n8117 34852\n30356 87478\n47327 71642\n17197 67337\n4121 49269\n26356 72244\n35890 92075\n17830 36920\n36933 90974\n12793 34752\n70608 74685\n49088 67572\n28358 51078\n24289 53305\n42841 77895\n47291 74769\n18054 21892\n17748 80929\n35816 54767\n20634 38012\n21336 51425\n70242 86799\n80645 85435\n40994 68287\n13593 30904\n29158 88488\n60250 84629\n21348 29843\n50600 92886\n70073 75184\n33642 89476\n40793 47070\n48088 62073\n18179 47556\n64427 69756\n69870 78721\n33912 60758\n50294 68531\n30838 86486\n10030 65516\n71307 88972\n15137 56046\n25180 28717\n26721 87094\n13609 41674\n11752 49336\n56839 87224\n75700 79143\n47954 91395\n32990 67827\n38488 77259\n6927 52683\n22039 83031\n29889 63269\n78723 82778\n40967 58092\n20024 32438\n7361 34466\n52282 73544\n29052 88747\n52988 79169\n33314 47849\n14393 50700\n32409 91415\n17971 74901\n14389 22420\n20515 25827\n7999 70007\n1194 55801\n37334 61138\n13777 71478\n13196 39920\n34706 77366\n5656 42630\n28320 74581\n32480 40047\n52305 53373\n8809 35356\n13507 47915\n66980 73578\n47919 65117\n32367 66131\n46743 83999\n63596 64945\n19536 93128\n63265 78589\n60367 60538\n69294 80981\n41 55003\n56706 66447\n12572 50968\n1481 15261\n31112 57198\n27152 48789\n2231 79889\n40720 44108\n28705 41340\n15582 80530\n3791 77716\n24713 82495\n46361 61631\n34220 40349\n14663 81572\n29161 68381\n65700 86927\n31879 73483\n56469 72479\n10670 89438\n56083 85953\n64383 83686\n18531 32064\n62252 73571\n410 3043\n13638 41573\n13861 29257\n42077 51536\n21868 88832\n41824 69236\n22130 87934\n20267 45519\n54951 69610\n3188 7535\n3564 18436\n15512 56277\n7845 32232\n51738 80514\n36641 74338\n68758 81021\n33303 74352\n29141 31957\n15933 57388\n43308 59145\n24278 31042\n1599 37155\n55488 71075\n6121 61594\n42547 69157\n5223 16799\n19601 63498\n53755 88447\n12860 51516\n61469 67973\n33941 61621\n5453 24777\n12154 78755\n48924 77010\n9135 81376\n49994 61825\n8199 81569\n11714 50474\n19114 50417\n21826 49615\n29504 75804\n17712 85964\n22938 92991\n69181 72182\n42923 50975\n17346 61103\n30302 92055\n13377 57115\n29261 55252\n48540 60807\n14935 87179\n4395 79565\n82812 88540\n4494 85338\n57116 57944\n26100 53063\n713 45673\n39026 39889\n34095 68869\n25894 59186\n645 41674\n38432 39136\n40143 50953\n15701 20628\n9470 90118\n14964 66695\n51395 66659\n32672 91957\n24528 63355\n16993 76260\n58489 91704\n53867 72009\n10708 54461\n54791 60087\n19845 40773\n44780 60443\n74276 82605\n45635 89441\n2782 33215\n4473 92910\n26460 52154\n47786 58345\n8131 45532\n14424 54590\n26341 30072\n13758 50259\n49392 80635\n10468 60891\n39325 70049\n14448 23305\n3114 46101\n20364 91180\n402 88243\n50862 69892\n15612 39302\n2544 17272\n29907 80177\n3711 88007\n53510 69806\n10654 28370\n66889 76543\n44521 91655\n23444 74796\n75697 85250\n33540 56725\n3481 40310\n9982 69199\n47564 72488\n1102 8933\n32895 42238\n50600 62776\n29538 88985\n4294 32353\n30903 78425\n40407 41355\n4614 65428\n29824 68300\n36418 49312\n67870 86502\n32052 65034\n33204 59093\n22933 67362\n62918 82821\n47660 92485\n25604 75716\n32048 52264\n1428 7105\n38110 42207\n36647 41960\n6587 17256\n17104 83707\n71831 89019\n15513 46913\n52108 91798\n1514 24734\n54105 87561\n32 62931\n66675 79043\n26106 78816\n52851 87293\n15777 34160\n11469 86743\n25279 65228\n31923 37983\n1616 86855\n18915 30072\n35379 45305\n19409 45032\n30755 43581\n37128 91707\n3392 56029\n38990 42262\n64935 78868\n31355 81872\n18908 84529\n46920 65042\n27332 45026\n11605 34424\n10584 86551\n30685 84905\n64081 80967\n69507 72848\n29892 64221\n25287 52348\n24430 41216\n50130 61594\n23523 86331\n17658 67969\n62656 69357\n4249 49944\n45578 59803\n862 92624\n68287 79429\n60356 79929\n11227 66283\n12754 42257\n66526 74151\n54187 75433\n29393 36507\n42023 86827\n36041 68290\n16247 81242\n41301 43269\n13145 56578\n77815 89148\n25398 34488\n51569 77813\n12592 22026\n38324 88602\n16745 44374\n48723 74123\n37525 59067\n12045 19032\n38066 86787\n35228 92161\n18875 80439\n6480 84624\n15739 48205\n5813 91319\n21440 75698\n5453 55437\n56117 67482\n39168 49902\n82625 92206\n37488 57038\n45489 67195\n3062 6653\n14464 27487\n39531 85703\n44999 48566\n9000 63591\n23124 49969\n15032 77331\n25414 90917\n44550 67010\n35235 73652\n12132 77130\n22151 63787\n8900 50456\n22132 83398\n12761 58821\n42938 62596\n36762 82627\n53959 56122\n51473 58284\n2548 75405\n65060 91908\n493 41945\n999 70066\n47966 62561\n11036 68706\n13722 53001\n31402 82958\n4848 13314\n16846 69509\n21719 36915\n52350 56761\n38814 89372\n37150 49336\n42891 65125\n17829 59825\n4848 37801\n19739 91047\n42032 89353\n4470 60913\n26696 28120\n4011 8030\n63043 92234\n19018 76908\n60206 68425\n53128 90652\n15462 81301\n30225 44074\n18844 31183\n20128 34930\n62622 78188\n15220 61176\n57398 86127\n5621 90285\n19387 83255\n46163 60480\n7292 82769\n10515 61864\n51557 54296\n3650 16822\n28476 75105\n49544 56696\n2236 53785\n4910 5602\n7592 43029\n8902 65590\n4772 80962\n3049 29383\n17784 78480\n9274 65228\n57210 74577\n41781 83280\n50291 51793\n8142 59170\n45952 77697\n21001 54731\n36356 56456\n37516 51035\n83704 89865\n16309 65346\n9874 54774\n45508 54930\n50395 58422\n1059 44945\n28510 73743\n17689 77136\n35167 91632\n4340 28129\n54548 86939\n62082 79695\n39916 85382\n38875 63231\n24667 33931\n43010 67475\n41725 87547\n40660 54016\n34307 53687\n85184 92098\n75495 83295\n9029 53183\n2154 37336\n26109 53693\n14465 63015\n17578 63174\n3488 52415\n54964 68315\n23004 62074\n26357 41009\n17238 48406\n35549 40853\n45511 83926\n41223 48356\n23387 51106\n58453 79097\n29790 38931\n9766 69060\n69531 90846\n3408 42249\n11285 18829\n43474 89233\n54807 69873\n27903 61674\n63480 82583\n46780 85178\n28810 84535\n34505 91293\n43330 72572\n16422 27941\n28706 39952\n7207 11335\n22443 49293\n14876 59137\n40352 75178\n57332 58847\n22142 48026\n1166 72215\n32828 41489\n20565 62105\n47325 82595\n9975 25338\n1481 43175\n16539 58576\n42878 72938\n14653 56078\n18732 74847\n32130 52561\n37161 38831\n84165 84879\n70699 73404\n6185 67312\n51259 55793\n17128 30763\n47396 79753\n9392 93126\n47364 53164\n38449 56777\n40020 76309\n33126 69312\n87962 90062\n9370 26454\n52431 61331\n39175 91973\n75475 91689\n2453 2869\n5346 17386\n34347 51677\n38498 71044\n3596 63056\n39331 49805\n3483 40008\n26085 47092\n26272 78040\n23020 41242\n27650 52976\n13503 13575\n15941 80696\n46702 51775\n32429 66177\n46012 48397\n21998 47872\n39741 45438\n71125 79431\n3032 79990\n3 47139\n19175 22442\n20588 85884\n36587 93022\n22353 33686\n24020 49155\n31231 80522\n45220 65686\n26231 76038\n3283 43207\n14146 57533\n12550 31642\n18488 25077\n4307 16096\n29670 85932\n23824 29159\n4783 52588\n50008 90149\n11520 91638\n6471 9383\n62211 65948\n22002 39859\n14764 71286\n63816 67536\n5093 37828\n23216 57308\n19911 37334\n12167 70144\n401 84088\n44592 67193\n27540 63322\n5828 76205\n13897 52470\n10531 18637\n3613 61159\n43230 46298\n68964 78642\n3541 21931\n17521 81053\n33985 74433\n2966 60183\n19375 55100\n10351 22431\n2891 11102\n61625 92922\n65162 82821\n12485 13570\n41773 85796\n23608 75941\n42155 69708\n45902 80496\n39186 53627\n34536 69414\n22872 24078\n50342 78352\n57002 86332\n46421 58500\n49982 60423\n133 35943\n34109 40786\n47225 47544\n47177 66229\n67772 70485\n35577 80344\n14452 17698\n73446 73972\n26586 78532\n20511 86700\n13127 50595\n63178 90792\n3002 8018\n46154 59972\n31057 49987\n4647 48096\n5890 55620\n10974 86922\n45633 63687\n83938 89286\n16115 52404\n15879 85239\n50992 84005\n50958 80549\n10915 77810\n56756 65781\n50237 83894\n47213 68757\n16499 61546\n49057 92198\n53911 66736\n2809 44615\n27931 61363\n6231 25800\n24531 79905\n56880 85920\n18171 19004\n3474 16243\n58660 83996\n3103 12418\n55355 73572\n40716 50094\n43283 75848\n2510 89492\n25423 64513\n22660 43141\n25679 30661\n61673 75672\n4975 73934\n54263 92988\n16714 53421\n83183 84761\n18618 51853\n21468 34346\n28194 57066\n20956 23526\n42184 64192\n20027 68427\n12976 42691\n13825 81745\n16326 81785\n53017 78427\n9802 69551\n33654 36824\n47851 90154\n5848 10889\n1350 90228\n63034 83343\n10450 85692\n58360 79227\n49095 79723\n10691 58873\n5335 45014\n9641 66562\n6874 7654\n57706 61208\n60898 90641\n21186 81995\n4235 40802\n9228 37115\n24001 91574\n8106 87187\n4910 69480\n39210 46717\n78 75808\n28604 77904\n10311 60504\n7718 60131\n28589 40119\n52787 59628\n13521 47819\n35656 63015\n24156 50669\n36056 40334\n42496 62083\n11725 15588\n2723 23428\n59194 59690\n12104 86191\n2818 50900\n71441 84058\n14298 80751\n5897 81416\n51848 88519\n42223 66520\n24452 79912\n2704 77077\n55983 58717\n21819 30787\n11471 78990\n4541 62141\n35243 54364\n16314 77592\n43999 86431\n34344 52461\n20194 38107\n42959 82021\n55860 87059\n66405 78289\n73621 78052\n31046 88411\n25066 26170\n16166 84735\n13010 70835\n26834 41271\n65142 85102\n3051 23870\n8024 69722\n23310 70448\n6216 18763\n9939 79746\n5550 32886\n20621 57742\n21543 80274\n47656 91212\n71739 83787\n6747 38347\n14703 69116\n52669 82469\n18241 45997\n31741 54026\n10259 44271\n70697 79985\n45780 77655\n28045 74718\n16667 79379\n1177 20185\n57077 75542\n18587 37622\n79019 92828\n38148 67802\n67971 85279\n31347 63112\n19988 69365\n29094 39716\n25040 71277\n27260 27501\n55455 68319\n22334 39934\n32870 78638\n22267 56793\n38780 76539\n42104 73914\n82631 85621\n21800 45215\n65615 69453\n18172 31942\n66666 87941\n13039 47005\n31108 83345\n15526 86279\n48683 52465\n48545 85901\n35116 84573\n25429 36253\n26998 75141\n39078 64349\n52386 68420\n42254 46180\n18016 49716\n9389 13902\n2977 12389\n31870 38153\n15136 21044\n49377 71007\n54023 85099\n19990 36465\n36809 64251\n59565 81716\n8981 10518\n79191 81397\n28605 44174\n53648 63873\n34591 68136\n31692 48995\n76394 93053\n18310 80219\n27278 75152\n27437 73003\n7068 33465\n47320 52826\n61602 63545\n6959 74285\n48886 75796\n34632 69547\n50938 85201\n42883 63317\n75948 77846\n22327 69471\n2237 78900\n7430 72945\n20040 34600\n27819 80340\n28595 57694\n27444 85191\n67139 90522\n53105 63744\n54578 66241\n42418 56575\n6308 75233\n41231 70280\n18346 74538\n12164 38661\n48527 71371\n5161 26454\n54093 61986\n15108 91005\n37459 45787\n33313 65579\n16363 73917\n67199 71361\n48941 65173\n20131 41227\n20774 43683\n32777 35281\n34028 64664\n36630 42470\n4028 54023\n5546 47479\n34090 40997\n69340 85283\n49709 63480\n42714 44470\n13010 44071\n62982 73762\n56857 71235\n17231 63936\n3021 67936\n73304 92306\n6102 72546\n78285 88348\n22358 68007\n42969 60202\n1292 85133\n45551 68923\n19034 88736\n5447 11131\n62020 75750\n13941 75127\n80631 88785\n32051 40969\n7985 12571\n23285 30139\n2234 82684\n18798 54423\n33474 45133\n10423 89731\n24776 46918\n725 62574\n39850 41138\n49498 87596\n12799 76597\n61500 82027\n13715 57613\n45500 73274\n35974 78378\n76213 93036\n38105 39010\n3670 72303\n54006 63539\n48300 86071\n7415 54103\n11138 57067\n33137 61476\n20909 73081\n33208 72154\n2328 24377\n30073 86738\n1554 82107\n31095 57333\n1295 39322\n24822 25102\n15627 33793\n4669 15576\n10127 75804\n32050 37474\n15720 18352\n23131 85570\n32986 86956\n4403 77224\n20128 37502\n7102 65978\n17229 58067\n18127 52191\n48673 64074\n30145 69951\n5105 57262\n8146 55473\n84566 89607\n31669 58433\n862 35771\n43685 63211\n40474 53922\n34790 91422\n6818 40530\n54195 85321\n39894 63155\n33072 86222\n43363 81263\n25170 47684\n46446 72714\n36570 64288\n904 29040\n35136 51013\n47667 71124\n56499 61659\n29259 45266\n47551 65163\n65408 67122\n37185 76226\n20556 68888\n76624 81331\n23818 37262\n36422 72905\n58282 64959\n41658 59226\n39373 88272\n58468 62586\n13256 91664\n37084 63692\n14058 21022\n80553 90539\n13792 29661\n50616 50683\n18224 34708\n31309 83231\n29030 79506\n9533 80518\n74698 79946\n35974 59270\n42355 43612\n47305 67006\n64383 66743\n1260 1534\n67199 83227\n41804 47314\n35449 52540\n28177 79208\n26432 41733\n33056 76658\n29497 69192\n33833 64963\n16934 86340\n50293 62464\n60670 93128\n12321 84064\n41838 48515\n27763 92887\n70592 76966\n37018 87039\n14227 83354\n4539 20944\n89568 91919\n39881 78420\n51373 59765\n33318 47526\n5123 11764\n9240 47567\n12136 42616\n567 68886\n8899 89654\n2636 61214\n8503 44278\n21872 85987\n23467 79253\n66710 75931\n80652 87090\n28182 63862\n30296 76957\n35249 72073\n13477 88759\n30017 79348\n49205 63665\n40493 43346\n62625 89264\n30373 90452\n28428 35581\n25451 29440\n81584 86583\n15784 55133\n65269 69929\n23595 25958\n17937 89504\n19116 38106\n3487 55841\n32485 56889\n74509 85240\n63197 78227\n76897 87647\n12088 62173\n45197 57121\n16288 25011\n25521 52351\n7564 73302\n34585 72184\n37577 53791\n15567 38603\n1160 69543\n24703 62431\n18106 26582\n40233 49717\n43638 63616\n39612 86459\n38496 43355\n64678 78811\n24415 69511\n28551 49618\n5945 82249\n39013 85163\n827 77093\n29420 74012\n76409 83897\n55537 90989\n40287 48235\n90269 93178\n62945 70065\n29198 29603\n36926 50617\n13895 68486\n16281 80749\n45578 75994\n472 66452\n60898 71257\n46544 80322\n28020 60315\n49510 76835\n81182 85932\n74602 79933\n27834 56457\n13911 78966\n14428 40264\n10610 50672\n85837 91033\n53607 54671\n54306 84378\n50411 91916\n33809 63009\n73309 76399\n62033 68571\n62051 91492\n23206 61390\n44685 75820\n25020 34281\n20819 89744\n1549 33519\n3173 12734\n20372 58828\n82191 85745\n65852 74546\n33783 73619\n57574 64108\n30701 73548\n13256 48815\n20483 38194\n51324 71944\n20080 30227\n47550 90193\n30302 75973\n8290 49576\n28301 88311\n48484 92119\n64051 81529\n9093 34578\n83886 89193\n34211 53067\n34498 73747\n71520 88554\n31456 54250\n12149 33735\n65510 82124\n17229 77657\n69290 71942\n68466 87311\n50462 69231\n56701 69868\n10606 48380\n19555 64035\n22632 50909\n8995 41488\n69296 72742\n39720 50248\n62834 83398\n16530 50835\n9506 70413\n29382 53293\n47290 59842\n3504 16959\n35508 56742\n20717 63354\n38263 47423\n55245 59613\n51647 89444\n10717 62997\n1943 52576\n26302 57017\n12424 67493\n48289 83754\n2065 64096\n33638 59653\n75517 86076\n81485 83470\n8358 14077\n40841 47868\n13506 70559\n60256 87424\n36954 45830\n53141 91693\n46404 79567\n22001 64264\n3949 39569\n72921 90635\n10704 39527\n6560 59948\n26605 76339\n5679 87095\n41469 59336\n10974 31377\n1299 55565\n53269 81437\n12529 81586\n22269 42147\n73155 82934\n4247 14823\n19621 88317\n42874 63184\n8265 44067\n16306 74019\n33414 81557\n44018 75468\n3584 20535\n25027 36288\n20780 60113\n26065 33205\n39764 88333\n61442 67411\n7129 39957\n54188 55341\n35486 87365\n31053 46727\n15512 83765\n34434 51462\n36433 79865\n40104 40324\n20047 45301\n31437 39145\n34496 40181\n14590 36632\n25801 83412\n48499 72009\n59512 73111\n22363 87070\n75311 85665\n25253 56859\n39588 66917\n48276 82865\n39363 46954\n38529 62197\n68343 93162\n60081 63831\n24544 70510\n10772 37479\n34960 86404\n11581 17533\n76096 89190\n56287 85472\n4872 42233\n4436 68676\n15935 59160\n55175 89884\n66228 89576\n39681 50158\n730 52754\n5428 46903\n75429 91148\n14757 43424\n44065 68768\n12690 54869\n28868 64195\n8408 11763\n34360 79177\n44888 61566\n5502 82028\n39269 62436\n40995 92665\n30754 83930\n41956 63636\n13253 45027\n48303 85142\n30930 88495\n18767 67666\n9370 49823\n1766 54828\n81226 90596\n22955 80748\n30529 38630\n22544 55710\n3578 60086\n63969 70066\n23688 47830\n61219 82089\n15308 56788\n40541 52943\n6028 44356\n25331 37276\n22465 35521\n53788 78090\n28351 28653\n5302 42136\n23255 36971\n13214 89834\n35487 51754\n62077 76076\n3508 31139\n33764 34925\n30704 43189\n662 43609\n20720 70162\n29167 79267\n82404 92707\n24230 87578\n26584 34515\n6415 84116\n35812 47008\n45355 54377\n9537 45463\n10619 60468\n24961 37366\n10912 16401\n66016 67699\n67296 76554\n21239 43143\n41276 81292\n8389 70987\n71598 73296\n9811 68384\n47202 84294\n24941 27948\n5440 49438\n14488 73131\n49108 75618\n34606 89863\n22760 69896\n6744 16189\n14327 91368\n40519 77437\n4144 6704\n22598 89619\n39287 77968\n2753 31820\n50605 86466\n30385 44847\n25102 67030\n1314 32006\n56366 70519\n16844 88928\n6491 26216\n38272 51749\n34889 55885\n922 10568\n9153 37688\n30634 44137\n43356 46610\n21923 61800\n9698 38466\n5565 35065\n11689 81565\n55405 61910\n14932 21387\n29508 43725\n29288 46370\n22470 90759\n48165 85535\n12937 63811\n36019 92472\n945 3677\n13358 47407\n74076 80657\n22687 32301\n11772 34363\n39043 54189\n30210 31902\n58871 81915\n51480 57239\n67607 90438\n12499 25760\n79797 90549\n37185 50873\n45744 46854\n76491 84621\n8451 68160\n8765 9271\n58179 82787\n18367 56497\n38915 45832\n24620 74395\n28584 40698\n7037 61217\n42847 71010\n18113 79608\n323 68771\n4215 59982\n53256 80569\n10624 69208\n13740 91383\n55256 88309\n8087 42517\n36795 55359\n78560 91922\n18136 72380\n1570 83377\n22697 73923\n40475 58008\n10169 90094\n23554 23839\n41954 49015\n29321 65763\n34081 92859\n17681 67493\n3922 36985\n3925 7322\n38001 67562\n80202 84543\n20984 86434\n304 77446\n17525 17989\n9484 78769\n12700 28418\n58658 81882\n79164 93000\n64821 69354\n33628 87213\n70458 81013\n1406 71539\n46276 63792\n17702 41196\n69074 71740\n61024 78745\n43743 47546\n16114 78212\n80185 89546\n19240 51825\n20887 78566\n206 37599\n14255 24839\n28188 80059\n81958 92118\n37678 57194\n44522 81833\n60842 91774\n50501 74075\n39906 69595\n32614 48228\n8955 33322\n24242 47876\n62617 78876\n36683 60323\n48827 66047\n28228 69368\n5180 27221\n5096 84475\n31558 48450\n592 21735\n230 14498\n18280 25219\n4419 44678\n46025 74298\n38811 81326\n71379 92132\n3363 63277\n17446 64725\n6653 72147\n44821 62644\n37304 52850\n34942 42632\n27483 68174\n9908 69378\n29430 88925\n46691 78510\n10312 67310\n22561 82197\n21074 44952\n43914 92393\n35091 71167\n6181 54958\n10726 24838\n17795 48593\n36508 38115\n37817 53043\n38887 57272\n73719 82126\n78287 87352\n68753 93166\n44055 59031\n41305 52411\n12928 36784\n32595 71451\n2538 61745\n6494 26476\n48146 82347\n19580 82821\n20915 76869\n19692 39259\n78171 86014\n28269 74586\n13084 38344\n69917 73273\n39193 81146\n24402 37477\n34831 80145\n62176 87298\n41713 65373\n48073 48291\n2268 8729\n5334 44808\n61155 81318\n38623 61159\n488 91858\n10808 14541\n51003 62520\n13545 69817\n39576 78907\n3319 38569\n6479 9490\n53367 89937\n12346 39699\n29777 52970\n25558 62499\n44443 80389\n10548 86022\n18961 30412\n11937 60076\n9022 58790\n19438 86664\n40430 49627\n4759 39572\n7721 22512\n8371 79800\n15369 50838\n66239 90357\n23384 88142\n14635 33139\n10260 27827\n39873 76538\n31495 46075\n58664 67291\n54037 59879\n26658 75981\n30529 48995\n43489 81752\n61650 82224\n3010 84534\n44565 60602\n46789 73010\n72914 91493\n82485 88047\n1285 6982\n39015 61717\n11429 33461\n19532 87382\n11906 38316\n9945 13858\n12618 65016\n30035 88116\n2806 33978\n12467 27035\n11698 40228\n24525 48446\n24435 32209\n30805 37819\n74832 85945\n60290 77960\n31373 66072\n9209 48014\n60086 69781\n31125 73975\n48801 52019\n36019 36114\n51936 74860\n33878 83693\n4038 5285\n35097 69132\n48266 89676\n58155 91947\n77526 86851\n77276 79378\n30684 35387\n10400 71731\n51152 75105\n17763 52994\n21898 89532\n49854 80183\n6424 70951\n48080 75008\n66900 72491\n49065 86575\n40512 91710\n50631 77614\n57266 70183\n63463 80778\n44876 50146\n14770 93155\n73991 77479\n28220 39128\n33848 83628\n16757 44348\n66055 74094\n42569 57396\n34497 40235\n54241 72721\n21737 74952\n10656 92598\n2283 52146\n749 58341\n8151 87105\n28049 83748\n67657 75651\n31800 46288\n57189 84203\n21233 66725\n3580 10722\n68180 82808\n7777 28319\n3212 43483\n8351 56856\n51961 84159\n65668 77491\n21292 66752\n50043 72489\n756 41932\n58236 78513\n54707 90950\n47328 54917\n77091 78357\n4591 11938\n12578 58215\n8897 15605\n62661 66968\n1428 62344\n11086 60059\n53429 81856\n23091 57504\n33203 76298\n64020 83459\n63883 75618\n3649 25993\n58367 83748\n29778 55263\n41344 69565\n8242 33981\n56386 74373\n23871 27503\n10936 64287\n52413 70498\n71832 84793\n5485 7781\n18815 74491\n81229 89056\n12989 91216\n1241 7040\n7833 37719\n5017 90139\n53877 85388\n34655 68088\n72508 84768\n45459 80572\n9435 53423\n20669 74980\n20332 31844\n11536 54120\n15653 89015\n12211 76394\n78669 81323\n63097 63109\n7948 29175\n35373 77061\n42878 89403\n60771 66697\n23260 79198\n424 12065\n64970 77783\n31875 69873\n49233 71507\n4010 10655\n70530 75332\n3624 5403\n9695 58089\n24713 35798\n43431 51103\n5735 40625\n37061 89368\n22756 39513\n30142 45347\n47196 56067\n57331 72372\n40651 42791\n24461 53604\n16179 82553\n60886 85096\n22596 76151\n78121 81810\n36709 64565\n16733 20591\n6745 58316\n31266 56636\n8097 29642\n21619 46374\n11686 41599\n52112 66923\n21649 46081\n66870 89980\n57873 92167\n21002 26110\n15052 73610\n28511 33512\n67774 91768\n24155 52532\n31276 56755\n54279 89453\n26999 76822\n28825 76234\n31247 52641\n49796 92540\n27529 50504\n25911 88516\n35823 42264\n25914 36290\n20085 22948\n24075 92378\n7352 51785\n17792 50837\n60355 87826\n6030 15055\n87871 92664\n54339 72670\n26213 47324\n7187 89662\n14251 27062\n28848 56526\n52722 70297\n51907 54705\n28371 52424\n10096 68470\n15158 89257\n17614 84528\n66844 71954\n40602 77595\n17126 83528\n661 12653\n80593 87307\n22812 83082\n21974 53115\n54498 85133\n5418 44017\n16602 93128\n37160 47526\n33186 71218\n64628 76170\n51446 88807\n83813 89859\n21308 79771\n37046 47446\n34131 81355\n7917 60241\n83471 91612\n59884 82753\n6163 47307\n12966 34794\n20557 62351\n61582 73437\n37133 90565\n53015 61416\n26562 55241\n19136 47812\n11459 71926\n71229 72427\n22183 42054\n11321 81058\n54969 62987\n54179 77491\n64702 66794\n69580 80620\n33949 46850\n47946 92861\n14794 31553\n29799 47555\n13347 22090\n8697 41774\n27644 92971\n165 47115\n57994 76171\n70884 72556\n59143 65264\n39184 67793\n69522 82723\n59043 92850\n46077 79824\n47052 52843\n51373 63445\n19509 57507\n20233 29050\n24696 37864\n56666 68774\n18022 41424\n48100 71258\n7161 84991\n56220 89305\n4900 88782\n36046 43246\n4859 14527\n5520 64572\n18109 79372\n43625 52159\n58816 87711\n70800 73418\n79906 84983\n45449 56301\n35389 50475\n82526 85650\n10221 28108\n29027 92343\n66194 91210\n48297 86218\n14583 44069\n41344 60910\n2715 61884\n21466 57361\n11046 78236\n44307 57170\n52246 91053\n58753 59268\n52470 89164\n25140 69267\n42026 74126\n35665 37881\n5431 47440\n27742 67928\n65545 77494\n11769 51452\n64197 72518\n27599 82190\n32340 83699\n1254 70500\n51659 54184\n23725 38524\n41746 42189\n3517 33971\n33360 46416\n5512 26289\n21064 79384\n49515 50394\n20459 72756\n12367 60460\n7847 47345\n25085 74083\n6397 25670\n16405 65686\n8200 32054\n13737 74062\n6536 88665\n41166 80503\n20465 31651\n17556 74008\n14683 67540\n61318 72875\n39924 69618\n24119 78074\n8234 21212\n28295 70683\n60599 75888\n9305 57707\n14895 82749\n16382 37011\n50893 86410\n54353 70811\n32608 73115\n3181 25817\n27671 46637\n43867 75421\n4134 62051\n39460 39998\n5870 43628\n34750 84976\n57968 86223\n10896 72059\n16831 91842\n7226 63705\n27272 59256\n4457 30172\n50500 50892\n18675 21052\n30925 87418\n54306 65950\n68767 78372\n10016 54141\n57043 67130\n7422 22678\n25584 45900\n42606 63009\n46498 51008\n40051 67068\n59045 86783\n2455 65576\n82279 83850\n46603 75149\n6082 53762\n23555 61335\n42681 55950\n52011 86927\n21163 50868\n12129 32228\n48129 58037\n40077 84176\n4148 44889\n42734 65676\n59151 85494\n47920 77507\n23489 25466\n57043 79917\n30282 51183\n57003 67890\n3410 6726\n18045 43910\n63791 74934\n53725 81084\n36197 90339\n16369 44130\n19644 76554\n6744 54553\n75138 84003\n47471 77798\n3331 68119\n27395 54368\n10567 85685\n49272 92798\n5318 17944\n39347 68593\n45540 72064\n25574 45876\n601 22954\n13012 24410\n21470 81313\n23252 53415\n19353 27517\n3638 85734\n10857 31283\n12809 44133\n50900 81812\n19784 74707\n16773 33507\n46077 77479\n16100 30340\n67407 77396\n40615 67154\n60223 71720\n8990 66393\n63069 76546\n487 78587\n9518 46307\n16536 38909\n13412 54576\n22450 56459\n17741 84554\n53942 60720\n54596 77862\n72317 86053\n48601 77226\n24717 67507\n45081 79987\n22336 43764\n55143 76852\n28465 32780\n67866 84811\n15542 37040\n85636 88323\n16134 85750\n83 28031\n53173 78568\n17502 72765\n11749 82345\n56040 81669\n29147 48216\n12524 80235\n24389 32785\n14481 83378\n55276 58483\n35997 58038\n12337 45294\n13894 47766\n2459 77807\n7819 8544\n29663 84799\n80317 86406\n70018 85396\n2712 30128\n44092 93126\n7106 47722\n9212 31236\n57368 74409\n38168 61843\n53558 72607\n67402 68806\n69372 76573\n50884 61078\n9989 84764\n17988 57079\n45779 56459\n42609 47912\n23172 31320\n35547 66036\n34299 42791\n1486 82553\n56792 74293\n1114 71653\n41117 91820\n15440 37516\n24757 85836\n22602 66614\n42139 90053\n16902 55784\n8780 23453\n7528 26096\n59700 64292\n8715 80925\n5844 69330\n45379 65626\n51863 79019\n71633 72696\n1611 27446\n9806 16231\n53606 72794\n34092 73235\n11759 79270\n406 16666\n27014 57739\n3038 6693\n26253 45368\n17552 40243\n15077 58711\n34867 89928\n20087 64189\n9015 18552\n17790 32797\n75708 78253\n5883 34211\n30714 64251\n24696 50900\n16968 59006\n71063 76386\n45072 68160\n11895 88145\n15714 65676\n45104 85714\n23328 69205\n44138 87191\n22663 46535\n18189 26070\n71780 76862\n21997 54220\n81963 93019\n11255 49950\n47540 53775\n42786 74384\n5411 34017\n35345 45135\n33986 45080\n14352 70787\n28373 51614\n26956 65371\n35898 91718\n16014 39643\n33691 40398\n11096 49144\n8910 59358\n17955 33247\n22565 76557\n49119 90069\n40379 83109\n7411 62863\n33961 91508\n11297 56512\n8293 66611\n36861 77272\n44480 50962\n12667 65732\n80652 85468\n6023 34268\n13696 71423\n16372 22454\n61521 77366\n13030 83949\n52770 71854\n6892 65970\n42298 84897\n36165 79806\n40803 61419\n10243 28821\n12258 34331\n57380 72867\n51083 86442\n15032 68758\n58780 77965\n9695 81737\n44976 52421\n36467 56289\n55746 75370\n22495 91451\n43130 86556\n17844 39652\n68542 85848\n52168 57334\n78665 88689\n23770 88770\n5400 52968\n4750 79314\n28266 44176\n7328 92745\n80391 86396\n18864 34796\n21845 89038\n73406 84664\n36888 61402\n56691 86080\n26114 80960\n51509 60414\n4398 81456\n36632 69773\n10840 72945\n72177 89680\n59148 71593\n70734 78131\n73767 75320\n68173 69844\n49908 64645\n14426 70827\n26917 72255\n27066 68695\n29522 88365\n26537 82728\n56162 65760\n5418 28679\n57807 74896\n78324 85651\n35784 70345\n14534 52446\n55 9412\n75764 90219\n45278 61262\n22730 24931\n10291 49889\n21499 52228\n7566 17917\n36994 70627\n26327 67533\n3301 27374\n43821 64488\n16730 52656\n18203 51082\n18205 61648\n18213 30227\n47269 63704\n27779 74181\n36394 48969\n17899 66036\n28040 83158\n16725 89216\n56305 88772\n48757 86416\n9957 44562\n33796 36850\n20295 55562\n8546 69960\n6626 66382\n27354 55916\n2458 91893\n19400 63543\n64899 82692\n25450 76836\n1018 24011\n57537 58873\n33268 72317\n3419 32127\n41077 77688\n7377 8724\n13369 77715\n2161 39647\n45437 91235\n64434 77465\n62270 90357\n32935 68631\n60360 61317\n60847 87722\n5964 68806\n1718 18536\n35798 86655\n39551 73255\n12539 33723\n17884 53911\n8123 85407\n40581 53844\n39234 50644\n36035 72020\n80 80075\n8186 70172\n76205 79307\n39016 65859\n28919 63655\n30474 44491\n6468 88329\n83733 90755\n65133 90324\n32281 62696\n9639 51205\n9695 41143\n36254 58046\n5482 17246\n6346 49044\n73969 92007\n4350 14898\n22880 33593\n56752 90571\n63655 91726\n69082 76931\n71141 86926\n20378 23235\n1354 47606\n5924 64837\n19249 76605\n13380 74506\n47612 82899\n12495 63356\n43431 70011\n68395 69073\n21178 33329\n22859 63571\n5501 75329\n40601 66561\n29607 44460\n80291 83660\n9827 67726\n2744 42909\n32986 68630\n40424 54834\n9915 52923\n15612 75329\n64252 83449\n38405 66565\n4606 73265\n56575 88688\n53098 80798\n15049 33247\n5291 37745\n95 88192\n28813 36967\n6609 81890\n22813 45697\n2884 56381\n72299 82487\n66182 74372\n25589 38712\n73179 79726\n30105 46307\n12738 30308\n8910 63579\n20144 52428\n40736 65838\n47096 91371\n22505 57578\n70544 90439\n53477 78294\n20270 51798\n47229 70415\n8091 92595\n4748 75387\n36796 71309\n62489 78425\n72533 77674\n80780 90339\n30513 52222\n74452 82220\n31620 62958\n36099 89547\n38667 81695\n17182 67461\n28503 90899\n8713 55234\n31027 57364\n2260 71052\n27967 55712\n61346 78185\n25999 66444\n75162 92775\n47811 74927\n9423 87289\n21395 32254\n20963 91839\n41205 70058\n21653 88353\n8278 41771\n13473 66611\n22292 37392\n61900 77973\n3815 64865\n62007 73347\n22466 88195\n81366 87697\n56408 87001\n10164 76426\n15495 50186\n30902 50255\n20402 31469\n13378 36024\n40740 70004\n13552 16186\n49721 91516\n72639 82659\n14722 62938\n43385 49957\n68276 90746\n69461 82213\n65039 75873\n74325 90539\n91436 92437\n1046 77061\n25907 40338\n48817 82610\n26130 69497\n1762 4046\n30053 51296\n64032 66119\n22394 88593\n8577 22363\n35617 52903\n52603 82808\n579 57527\n24902 49198\n24553 26665\n6964 86299\n18632 85835\n24969 60530\n50599 68865\n47331 89176\n25069 62837\n26304 54349\n66616 73917\n8237 59348\n3131 86165\n25131 69118\n88576 90839\n13287 68739\n667 90466\n49453 61632\n54840 56120\n65299 76537\n70825 87584\n10456 67510\n33019 67200\n17021 90267\n72875 89827\n13810 35245\n73948 87283\n12592 39826\n12933 37602\n25430 76778\n32127 58605\n84691 90229\n11998 21040\n1996 65649\n35166 65239\n14897 70384\n60622 80488\n54474 59825\n2168 77004\n64523 86495\n13007 66281\n10867 53181\n43696 51220\n7170 22353\n57387 65585\n1792 88979\n16463 85292\n18348 69337\n10307 53122\n47466 73490\n58957 62700\n48192 57444\n65625 81028\n1997 31587\n56529 88401\n21867 40545\n13738 49381\n42284 61846\n37098 59053\n61254 88850\n38417 39746\n35234 45821\n26572 66068\n39636 57620\n922 32470\n201 61528\n18525 73157\n11008 23624\n82134 84469\n50817 88071\n2806 65221\n22309 44315\n55322 76724\n24973 34404\n12068 44457\n22118 32198\n12565 37002\n12378 34330\n51006 71606\n2509 16563\n44706 51259\n63031 63988\n73465 86317\n66668 71915\n14323 85337\n12854 31695\n26364 78642\n830 2018\n3432 72845\n80220 80271\n20781 75873\n50821 81408\n49676 55203\n52688 57767\n54485 90615\n53288 84590\n10469 21114\n8998 21893\n75216 92430\n42904 78042\n4577 38196\n22036 65229\n17371 61180\n43543 87296\n68057 69865\n22830 59763\n18679 28655\n14723 47011\n46768 62525\n24162 87730\n7064 36764\n38504 74922\n58467 78884\n11386 45219\n14533 38587\n17490 27339\n54381 70288\n34580 35655\n6283 63803\n35443 74054\n11372 65414\n27334 89596\n26457 86442\n42120 46042\n34177 63759\n39983 74445\n70136 83349\n36395 50625\n56503 74157\n21505 48154\n14521 47274\n50486 83521\n1298 54741\n60955 74522\n14593 87201\n35623 40576\n59097 86531\n1511 46490\n16040 40810\n11470 27337\n59414 91437\n23582 37374\n51962 61570\n13612 62928\n14358 61019\n30983 59785\n821 34565\n34984 75759\n59529 72216\n60287 64444\n60220 88607\n2238 54782\n30866 45192\n15364 32175\n5282 30117\n14724 73501\n52411 86152\n4429 34944\n5802 12556\n3416 79778\n31683 54440\n6773 45701\n29554 60118\n66609 91838\n71031 81240\n20249 65028\n34576 87503\n50346 92647\n72212 86960\n38486 46655\n35138 65110\n47857 62958\n23345 32657\n82310 89552\n66628 84535\n21373 44543\n46904 80193\n51146 73025\n11512 30466\n42780 86263\n39543 62796\n114 18696\n17406 55233\n9246 64249\n2019 17416\n63978 75503\n13734 79994\n22261 50940\n20453 82694\n11120 15219\n9297 71709\n1045 83784\n989 63588\n36227 92038\n24373 57094\n39827 80535\n30337 88942\n63495 86858\n57322 83477\n42941 88068\n68648 76212\n21313 38496\n60463 69659\n13665 38616\n38457 72303\n20347 36550\n13562 28723\n53830 72894\n28820 34122\n39533 53676\n57560 85075\n15653 59474\n70682 72279\n14371 51581\n81549 87830\n18417 46566\n59812 60510\n11036 88607\n49108 50299\n39845 41721\n12446 29837\n65658 75491\n952 68572\n57064 71602\n71131 83088\n9645 10476\n32992 83111\n22949 84544\n30457 48714\n27838 78488\n4679 77573\n5943 84931\n14549 19960\n211 51704\n986 66378\n20544 69320\n58169 73759\n10644 54390\n217 72952\n14303 19067\n68139 74728\n37286 61154\n39631 51443\n28518 35548\n8914 78353\n18812 65656\n30645 49405\n80300 84961\n26409 27140\n46364 71725\n19381 71723\n1679 21932\n47197 91530\n27956 55734\n5883 53474\n29907 60356\n77519 85632\n38661 45494\n12350 82133\n34239 55912\n37193 47538\n20451 51848\n14171 36525\n13906 58084\n75449 78208\n10683 78290\n38639 47813\n50262 63159\n24712 57419\n14540 35761\n15473 89603\n11842 58459\n18253 20556\n21448 34777\n42334 86649\n33616 39773\n50704 85125\n2840 37402\n37863 67044\n10819 86643\n24382 77739\n724 44320\n35786 61997\n25114 91772\n24309 28633\n17007 73983\n28774 34329\n2432 92813\n7985 41758\n36433 73443\n28704 74205\n28363 30129\n72465 88935\n13512 74648\n72019 86126\n14449 18814\n31414 81544\n33092 39663\n21456 33465\n17346 76392\n7725 44564\n36792 87105\n64206 91181\n2683 76779\n20130 81625\n39093 48765\n67428 68495\n18929 22324\n19735 30644\n17665 84158\n40581 41985\n65999 66294\n373 17685\n24197 36870\n8073 22648\n44898 45708\n15245 20984\n19205 51513\n17522 59529\n24377 53594\n85629 91906\n19699 89346\n9429 21513\n47181 81913\n40210 68124\n28728 66750\n14976 78894\n26833 29012\n10022 25688\n5312 55812\n21208 40364\n4631 45093\n9908 10192\n59471 70005\n44014 52201\n25765 71079\n2566 90164\n4952 28910\n20621 31155\n1525 37707\n24061 43595\n7315 22133\n9188 19029\n67270 79370\n16835 47613\n41520 63380\n10801 22439\n26182 57867\n16160 22187\n47197 81188\n16826 68570\n6215 74029\n44701 61498\n59195 77161\n29118 79942\n92707 92748\n43217 59169\n19644 55472\n71064 90803\n35586 71138\n12507 44560\n78361 87329\n3825 12764\n27399 51189\n20739 78523\n29296 36928\n17402 20822\n18303 19127\n15526 30037\n24295 92984\n830 18822\n29158 83216\n49460 80878\n27235 44986\n22459 80020\n53802 62114\n10166 43610\n26263 51717\n2429 14400\n25392 52485\n41191 45706\n17324 84249\n43843 67445\n1321 34124\n1124 32715\n21681 73805\n5240 8070\n11328 83139\n20810 40668\n72874 87590\n23006 28599\n19385 92017\n64717 73016\n62286 86164\n61963 90144\n84784 85706\n36526 71849\n13655 20856\n41416 58947\n16045 87816\n50739 51079\n46588 50760\n61913 81143\n58827 71911\n6011 44203\n9761 54053\n23661 43277\n9436 53364\n69134 75426\n25144 81592\n54148 67954\n66902 91347\n14328 27360\n15149 71191\n36507 91247\n36256 88262\n21621 62022\n28463 62504\n4253 9614\n19991 43323\n507 41283\n23397 63743\n35183 56371\n22168 59612\n3793 24192\n34481 64083\n33711 42190\n23575 23702\n2234 63934\n37504 47575\n17531 29311\n75527 87870\n21819 56986\n27828 42598\n64381 86189\n7681 47411\n19944 71738\n34527 65661\n58690 71869\n16039 53287\n17919 89745\n47414 67158\n10924 13660\n22616 83717\n14682 17326\n11038 40661\n88735 91296\n566 29629\n35 55073\n52196 76576\n10686 48047\n3236 11172\n17089 32623\n84086 88339\n10149 65156\n52845 55942\n51659 58384\n36674 79620\n8271 34827\n53074 67516\n579 71635\n35750 39081\n12804 70681\n16197 77754\n18751 67915\n19537 42730\n7318 30912\n70484 74477\n64009 86112\n11142 89276\n39413 69239\n70376 75417\n17496 49173\n13278 42735\n27258 71330\n11544 29149\n70285 84236\n64119 88132\n4103 16658\n14714 37949\n48659 58781\n46380 71747\n4691 62731\n53948 87110\n34718 46939\n86262 90111\n4724 64064\n19372 48734\n17939 81143\n18772 73417\n18529 70995\n18364 50097\n27378 52685\n25102 90556\n80189 91928\n14151 78062\n48648 82750\n21744 23306\n37678 66352\n376 4446\n23052 74509\n18852 56809\n48761 77939\n7892 17827\n177 17230\n14127 51639\n54123 61558\n726 76361\n28465 38865\n31396 74302\n15212 82325\n14165 91436\n22742 70844\n43278 64931\n58011 66778\n50942 67641\n39948 70475\n283 87071\n67918 71286\n67435 82225\n60584 82247\n35889 46467\n19483 26057\n6393 6918\n64449 73036\n13880 16694\n12908 67338\n44574 52493\n32993 54608\n13464 31474\n11371 15924\n73837 75666\n32729 47117\n38604 60052\n16863 60772\n50918 61094\n48378 63500\n41737 79453\n17719 73459\n52411 52415\n24419 57608\n34945 38855\n22023 52934\n24330 45776\n29799 45537\n25186 92318\n17589 34635\n22138 48758\n1327 28609\n80051 90732\n69660 92157\n10494 65667\n52967 86302\n59854 85713\n52628 60358\n27200 57389\n18255 63154\n61504 62022\n68772 88664\n2472 69667\n68482 83048\n9776 69496\n55291 77672\n52067 82670\n16463 74511\n73948 80192\n15334 51439\n74575 86230\n61882 82387\n63809 88747\n19356 49942\n33684 47824\n19293 91165\n28893 53320\n53512 79462\n11384 20341\n22300 87936\n1188 39936\n2678 74572\n11869 60517\n9235 84963\n56310 74110\n29994 92406\n44876 51295\n19953 53038\n23013 53604\n3180 41947\n49719 65084\n4147 84139\n28934 50095\n2328 84504\n24414 31858\n30357 60210\n10030 54857\n29047 40181\n6956 62468\n23028 42540\n14702 62770\n56419 60698\n32129 70277\n44498 77123\n14477 49149\n25903 44531\n35603 89305\n26752 39272\n17971 65883\n29763 50299\n26513 49030\n68102 89090\n19276 58431\n83510 89461\n7244 42820\n56499 89033\n37557 44309\n19221 62688\n38999 69011\n34744 69931\n9180 77665\n15300 58548\n12700 89875\n13975 40034\n33557 75412\n24436 90894\n2352 12773\n10009 54645\n6178 59358\n8397 52090\n44975 90770\n30424 53358\n53285 58527\n40929 48820\n85761 92469\n12065 70225\n65871 76502\n35112 38988\n25241 78968\n41888 68131\n54147 86487\n58009 71535\n67722 74986\n4873 60588\n59064 69455\n19552 34163\n6848 66019\n10500 63950\n30343 77418\n84388 85288\n11276 18082\n77348 85486\n10518 72657\n50491 89021\n46403 57600\n59455 70575\n31399 50817\n4842 16100\n58870 81869\n7792 48645\n8269 44510\n9396 29399\n25191 30859\n32253 83544\n19977 87109\n34680 39020\n21732 23933\n40015 77088\n32095 44954\n29204 57578\n9986 17343\n6422 55496\n21587 81608\n22052 38408\n24754 62207\n9435 18771\n89237 92280\n25101 43718\n31627 43528\n18345 46964\n48879 83351\n46806 48370\n24143 42918\n72612 80750\n12026 51761\n37312 41962\n58853 84322\n22450 53843\n49035 49289\n32943 80542\n23500 55392\n52012 91688\n74052 83235\n16628 58655\n31953 37384\n45087 86814\n11785 86987\n8058 53457\n11703 68968\n7768 70690\n14198 85186\n35864 43701\n16526 78012\n40928 57356\n61480 92915\n43332 48251\n50792 90377\n19672 32518\n68881 87039\n12091 32987\n27347 54633\n29432 30026\n31554 66389\n76826 80225\n69235 75488\n56593 92345\n26108 87985\n69824 91144\n13816 90424\n30376 51661\n17273 31388\n33194 61335\n27478 58402\n75105 88683\n2749 47044\n3724 77518\n48938 57859\n12565 83957\n4510 42862\n513 44302\n49944 77716\n72259 73310\n29600 72339\n59019 71343\n13861 17573\n1345 71559\n8198 55006\n79267 88785\n27917 53827\n25591 45033\n26534 77241\n8248 82014\n25920 42469\n30847 37320\n44162 88758\n63480 85611\n10088 78704\n42617 48628\n64627 70803\n56877 62090\n46101 56071\n48459 77444\n38625 51007\n50905 57076\n9310 68784\n36756 79288\n35875 48137\n12687 58318\n43198 54631\n9147 67323\n57418 61258\n36439 92331\n13010 44917\n41375 89261\n26320 34328\n14287 60044\n5977 22102\n51877 89200\n54038 70990\n3774 16367\n51195 91838\n27891 46015\n38575 78925\n2705 89868\n72560 72952\n24998 30129\n27063 67307\n34842 38361\n34051 72286\n28871 79725\n71312 73981\n28778 35283\n1939 21575\n5358 16028\n10919 18687\n20511 75298\n52046 57906\n32131 79311\n32431 53499\n22147 49462\n19172 55680\n14016 54409\n5489 76200\n1002 35716\n42355 77933\n42401 43098\n47559 89676\n42079 87853\n82157 85684\n57126 90168\n14641 52357\n56299 61893\n13263 61640\n35750 89727\n40315 45239\n34074 53676\n16545 91433\n9020 75645\n31469 87116\n27291 58208\n10884 54872\n2685 60094\n23669 24677\n32013 45527\n55585 66881\n31394 46443\n29930 61239\n70861 87995\n16276 68449\n30869 56137\n54933 81707\n32595 71567\n31556 75247\n68912 88418\n30486 65442\n27679 74644\n32459 47624\n66553 76451\n17388 44133\n50437 69255\n32363 35404\n38095 86296\n12393 34327\n28831 92266\n1268 39980\n7384 30633\n65250 75360\n30341 57677\n1288 14260\n18291 93041\n24679 45424\n81987 82567\n3757 38541\n10843 17757\n38215 42096\n13515 68224\n6838 23805\n915 16345\n41446 89176\n54607 63620\n42819 45487\n31150 50594\n39303 74620\n58826 69040\n58158 64614\n18864 55741\n52771 71361\n9340 82195\n21755 28490\n22750 23227\n35177 67401\n3762 77384\n32108 38555\n939 63480\n66145 69742\n35565 64880\n71809 72539\n12823 25645\n60398 89358\n52637 79652\n20046 40000\n7138 47242\n633 6508\n2662 91898\n45645 85934\n11319 75776\n41022 60169\n132 14801\n20709 39619\n34859 67603\n12080 67597\n4036 48436\n71358 84147\n33471 88973\n42714 84410\n15228 24392\n3223 10693\n34025 72570\n33326 72276\n28364 42392\n16629 73173\n11539 82237\n24850 80400\n3704 28380\n63933 65156\n60584 82140\n53688 82284\n1077 82247\n8814 17455\n29835 51294\n3243 27832\n4628 8636\n41492 63229\n40059 89215\n84618 89475\n20335 76950\n45729 87843\n55614 56898\n30733 76893\n9683 61204\n46423 80058\n7870 9485\n4186 37371\n11663 56619\n11239 43902\n89299 90381\n52776 84748\n5786 36750\n16200 39970\n37111 47479\n11294 81304\n28234 91244\n907 40375\n20135 62328\n21036 34600\n43296 56603\n29511 58684\n64870 68495\n25281 59534\n17582 34792\n69174 77598\n20224 38001\n7373 54939\n34159 42099\n5453 91703\n8597 92153\n26359 46795\n15104 88470\n39000 54237\n34692 50756\n52986 62215\n56785 90184\n6105 10858\n16520 78093\n25445 87909\n37398 82161\n6761 44180\n39291 87007\n72822 92769\n22807 42617\n72500 91416\n33119 90890\n9344 32367\n17877 76778\n44126 77172\n14516 48291\n7862 70255\n46032 85376\n26957 91938\n1071 87612\n17924 64842\n5341 20924\n6231 14321\n4685 49065\n68685 82716\n8268 91956\n87214 89729\n16117 21532\n18210 71494\n22501 40512\n13241 52577\n36677 54751\n42467 67844\n18842 35535\n58823 81045\n35912 45776\n21387 50986\n53376 82517\n9388 21829\n226 48240\n25542 74032\n778 24348\n55122 68917\n25347 59018\n16705 30483\n6932 10116\n8913 15165\n21164 27978\n56999 88881\n25369 50140\n61422 66801\n18926 71844\n12682 22232\n22678 24532\n46662 63106\n29957 47807\n48589 88865\n47603 91192\n78300 91591\n6014 87970\n21751 83158\n61873 73874\n54333 56317\n5880 65648\n52114 67996\n41781 92334\n48295 67819\n6320 18167\n2747 83061\n5909 38465\n2690 48949\n7668 53356\n14569 87813\n40829 76940\n89138 93134\n53055 53063\n75305 87888\n9993 43320\n73195 83026\n5535 17415\n17834 92661\n4258 65037\n52372 68828\n23227 44161\n21475 74776\n484 24533\n2655 8894\n1948 73720\n24576 59531\n23137 71694\n6344 32238\n26421 42422\n35279 42236\n28556 91267\n61018 87434\n25528 51873\n36902 44054\n29683 69591\n32535 90490\n16928 46020\n10879 32069\n13886 24600\n83048 84977\n58577 89350\n9316 78865\n15279 43516\n14090 42749\n133 40129\n37533 58100\n34781 62544\n51364 86437\n37175 61248\n10575 87645\n34596 44592\n10923 77581\n24483 81508\n27609 91765\n13566 35390\n57772 63881\n6097 36330\n44098 90421\n40162 59433\n11963 14515\n58326 61338\n9687 41558\n85327 86732\n10369 21269\n25700 86846\n33607 79570\n42332 80737\n12486 47074\n14792 44361\n13808 22016\n1076 68095\n25602 52195\n23889 50629\n22888 47140\n83416 86917\n59050 71336\n816 32897\n49224 83406\n11452 40105\n5519 73445\n26755 91530\n7144 52740\n13796 26151\n28734 85371\n82202 83904\n86113 88019\n58038 63157\n34609 51815\n517 2682\n24467 63600\n11607 74097\n88523 91025\n22839 86687\n31235 62663\n6794 11173\n55488 77266\n78630 92224\n9476 53029\n15048 87547\n3447 44977\n13757 46029\n8005 66104\n30764 62173\n38556 91414\n10609 88743\n43423 77913\n86321 89828\n52310 64544\n35665 42609\n23280 73384\n88241 92970\n8840 51332\n14137 14641\n50014 91431\n42647 74733\n18355 59562\n2918 12176\n5613 41929\n55260 81679\n19026 47803\n104 54399\n6984 73727\n11956 21399\n54227 87996\n25865 55555\n9462 58297\n9425 41897\n29208 39131\n32791 53683\n5878 14448\n45466 89382\n49940 60766\n35072 87083\n6214 39040\n53592 76293\n69843 81419\n62258 92800\n12477 58241\n14032 72393\n44807 52562\n11715 58013\n42813 58839\n298 56721\n4037 86401\n28190 32202\n45301 51446\n18365 74389\n48588 59243\n18057 20460\n11239 16334\n29578 53132\n6087 78457\n36618 60278\n73023 77818\n48706 53234\n10850 62969\n30251 31636\n62701 88105\n27399 52908\n45816 60288\n66473 81505\n38636 63739\n60813 72420\n14872 63008\n10151 37730\n31461 58833\n79523 85199\n76728 92305\n31897 82246\n43113 62755\n13772 68588\n60797 73428\n58176 63897\n13578 70496\n10789 43046\n57486 84615\n6376 8391\n24443 44492\n384 88750\n16373 34356\n82078 84836\n46588 56509\n4522 45016\n28267 92898\n11701 19746\n1500 4456\n38039 48531\n56431 69898\n2679 17122\n17348 72178\n69249 77004\n5968 21767\n30421 33192\n7364 46919\n59774 89983\n6531 89644\n78296 86944\n42122 57254\n34672 58759\n8970 46740\n41174 51151\n25359 43529\n1998 28573\n42110 81456\n15505 56873\n25307 30375\n35673 52854\n15993 28654\n11283 35893\n69804 92312\n22318 40217\n17833 70475\n15370 67121\n1969 27216\n4645 41326\n3331 47471\n62976 67107\n40752 53815\n52647 76834\n30140 38185\n11276 54380\n7676 91365\n63216 74409\n6200 33451\n8133 28250\n43130 46251\n14093 91014\n52273 81656\n23119 47974\n13020 58806\n46859 64961\n67600 88082\n31679 38094\n18152 29930\n41364 87212\n5302 22210\n31634 92531\n21041 44485\n50122 79542\n42734 70031\n687 45135\n54834 91430\n70192 82006\n1819 57396\n14474 38201\n19008 28513\n73337 90091\n49067 72751\n64092 70390\n59945 78258\n70446 81202\n33586 89343\n10527 72005\n804 50691\n47648 58733\n2713 56727\n59036 81479\n16619 41405\n33349 78102\n16124 53376\n59492 77129\n987 10209\n53606 83429\n8607 52389\n53170 81329\n36937 78148\n4085 16517\n25294 34391\n37149 77242\n22825 71357\n22703 77365\n793 69147\n44217 63691\n27728 38478\n22849 32727\n62990 69118\n50357 76451\n50730 52533\n51904 81393\n4360 80903\n30411 38044\n57681 80212\n26182 92852\n10766 50178\n9160 46084\n26666 35872\n54796 84457\n22956 49741\n7891 38591\n17960 70175\n80837 91209\n37131 87639\n2880 69476\n61346 85366\n59206 86218\n25336 35888\n46398 57712\n77548 92086\n3977 76558\n20285 91187\n43880 58484\n52429 79827\n58702 72191\n39352 80562\n9388 9563\n70277 75516\n12074 39304\n2814 86509\n33331 49583\n62889 86493\n66222 82982\n82836 93012\n23340 38354\n37759 57288\n12485 56213\n12958 50617\n25279 91387\n41745 56866\n6849 39381\n27802 89168\n27697 43445\n84248 89787\n4912 14018\n47743 63674\n31062 71384\n45456 59721\n71293 88658\n15212 41683\n23398 39872\n13380 59113\n47452 75457\n28971 66290\n4391 46997\n14127 86480\n15061 17743\n11502 77440\n12274 45980\n36522 90122\n20244 44957\n50585 92966\n35469 42938\n40779 56560\n25828 78584\n38581 44185\n15687 84105\n41742 64759\n53859 82598\n765 8517\n32190 87156\n31097 74505\n38375 40796\n50211 50934\n31685 53901\n336 73316\n23932 47401\n36956 70342\n58581 65591\n26542 75688\n23538 78939\n11155 56588\n11351 24423\n66562 81001\n25898 73798\n67770 78893\n6769 51190\n27321 64949\n81927 87435\n66141 75606\n9522 83826\n57304 84313\n41405 73062\n16627 81212\n24639 31694\n30713 37918\n29895 36602\n46613 62220\n31539 38684\n822 42412\n62292 75924\n35676 87070\n7056 65016\n44819 65173\n5744 33755\n4263 56748\n42467 58555\n57877 81760\n14159 83140\n34752 89483\n62694 89647\n66207 67866\n39640 81423\n65037 91524\n12323 14818\n3720 82271\n5911 63661\n37823 46345\n50684 63377\n35181 91291\n30064 69966\n24365 34739\n40908 71560\n8979 43134\n6027 9113\n7332 15162\n24232 31675\n82948 92149\n58428 92511\n66321 69991\n4264 7619\n36676 36765\n22856 31525\n39959 71747\n86173 88448\n859 31990\n24710 56666\n1851 2729\n31657 42477\n3950 87257\n86268 91091\n66732 83583\n9137 53175\n35703 37873\n45587 80427\n27273 34502\n31776 37689\n53789 92907\n2462 52710\n21885 62459\n90911 91439\n47552 91697\n78151 87875\n61897 67264\n77514 87518\n68392 89770\n5293 80081\n14658 45100\n76945 86058\n10632 48683\n33528 34156\n68521 85675\n47734 68382\n17152 37288\n84889 91221\n20766 77961\n29563 66266\n14421 79572\n23573 43625\n9842 19698\n23503 66012\n50726 90863\n20651 91277\n37817 49553\n57405 78534\n13257 20856\n14240 16920\n4154 68407\n27759 90940\n56822 87305\n10606 87361\n379 89255\n36346 73636\n77202 91140\n12863 69560\n78394 87265\n20329 81343\n10136 57630\n32587 81023\n29265 75020\n64550 73822\n43493 48663\n24811 40200\n10087 80084\n15239 59162\n38012 38880\n8895 56263\n21886 37422\n20862 75577\n41381 59626\n41349 42488\n11155 87413\n38309 77260\n13553 86706\n8221 81875\n60773 81332\n36252 56778\n8179 86406\n48930 86429\n2801 89377\n13790 40250\n39188 80580\n28737 82799\n5996 75753\n34094 58820\n47253 67023\n38842 70658\n17019 22781\n16132 29593\n52070 68414\n12168 29223\n5997 27017\n26756 41059\n28835 90121\n7428 13954\n11714 81817\n39777 40695\n13623 36482\n12048 18610\n2006 51888\n5123 90365\n47118 56690\n46907 65760\n30927 72616\n21124 68922\n22193 30959\n13868 14139\n5839 19625\n57586 59966\n56837 90189\n66849 91343\n48509 54368\n8721 87983\n273 68054\n61381 70416\n11427 32866\n37809 84661\n8386 35307\n16373 57963\n60599 64653\n34814 71034\n5410 28005\n46461 67425\n53529 74443\n3638 91702\n52509 73231\n24346 79292\n27264 85785\n1011 33985\n15329 43371\n32002 47265\n75811 92637\n33305 86559\n65825 84452\n36631 87859\n62186 82920\n16277 26046\n35907 72582\n840 84981\n18226 64133\n70543 90868\n2377 3508\n44433 69813\n61705 84847\n31907 73072\n10542 13545\n27860 89983\n32572 88778\n15654 67433\n35232 81312\n5251 44984\n23569 24018\n50608 88439\n44182 64005\n22892 39994\n68047 81933\n3219 9967\n39073 87628\n15756 51084\n8148 47806\n18702 75170\n31030 32684\n26456 88065\n13176 90922\n9701 28126\n1644 49963\n35603 42707\n27267 53358\n2610 57222\n24881 55945\n8243 77560\n51291 51800\n6603 17157\n10215 46448\n52374 62636\n26381 43672\n40855 63344\n6260 10886\n11439 89981\n55323 64959\n28120 48271\n31933 51178\n11797 76663\n8365 65780\n32740 39689\n16843 58657\n16190 85448\n52295 90335\n19542 82105\n13750 64329\n10830 18068\n70512 77476\n34198 65177\n60470 89919\n41152 59254\n21844 63156\n7971 42462\n26961 77560\n45141 84296\n44879 89259\n7527 64797\n14513 56257\n5672 12076\n29695 88211\n31075 68680\n76703 87645\n63454 64229\n40473 66851\n40936 48547\n75786 81912\n30789 77570\n11319 27213\n84367 90841\n24934 52420\n46239 57620\n27310 40886\n84832 92712\n39663 56483\n45987 52411\n86594 90324\n68083 71241\n16318 70524\n67563 72789\n39677 72286\n58034 59683\n2486 69575\n4963 10359\n4530 57289\n10436 29919\n30017 37513\n54384 62177\n33094 37622\n4535 80363\n41991 62327\n50974 72403\n55013 62444\n36229 55326\n6115 61746\n27450 36116\n5294 26621\n21078 65016\n9814 61003\n27107 37704\n6023 66517\n55742 75249\n15537 54261\n53180 68396\n1158 35688\n54916 92474\n5971 40398\n26249 69494\n68441 68704\n11653 16857\n19225 66496\n45206 82107\n5976 75225\n19728 61057\n33598 80322\n1453 6528\n2652 5498\n19385 67127\n3977 71647\n76508 91213\n30008 70357\n37786 85182\n23647 45329\n24853 60517\n36891 65489\n40449 56889\n61785 91458\n34553 60898\n16624 69309\n55695 65127\n60368 65494\n38735 78033\n15690 74847\n51529 70551\n65040 74623\n8419 40807\n62164 85269\n10050 71271\n19309 89411\n26346 45891\n30810 63158\n4511 29079\n43328 78093\n54814 90801\n18941 31611\n46908 58328\n5399 16133\n5343 53763\n1388 79235\n2486 79208\n20875 83315\n60752 73062\n21956 63246\n21762 87872\n13704 60980\n23140 47010\n81209 90584\n73225 86456\n46626 56630\n24958 48122\n5409 65126\n5036 90595\n83000 88792\n10704 28138\n44118 65616\n49388 90318\n11166 21031\n33525 92916\n41546 43168\n36170 88063\n22384 35136\n54838 76819\n5884 92553\n38607 86335\n34724 65379\n4377 19499\n665 9583\n88983 91138\n13412 86080\n58308 59695\n28139 62549\n19895 72893\n24601 68438\n1145 87254\n53743 78116\n52377 82853\n20285 20627\n50083 63457\n34528 63828\n14885 36094\n5254 19460\n39511 43364\n19554 87268\n151 83804\n40687 83799\n24110 57141\n41963 63924\n68935 78482\n34439 64144\n2899 61880\n71119 88101\n48122 51829\n400 53186\n73335 74769\n31550 40476\n30293 40228\n44156 85116\n72723 92269\n24880 81069\n73081 74880\n56639 60271\n45371 60468\n10958 49787\n8350 31654\n52739 92452\n51230 75897\n10011 18349\n56875 64161\n2657 54395\n20568 71539\n11064 59696\n48605 75763\n43076 87881\n23101 53843\n29203 54554\n50050 81005\n35930 67735\n10598 62088\n25382 79511\n27651 52410\n33689 59423\n9155 90438\n25103 83941\n20009 65502\n40469 67909\n16076 63587\n7750 89768\n27986 53534\n1818 33491\n5730 9829\n1548 64282\n28862 70542\n72342 92938\n35672 85443\n57641 58352\n1345 27712\n29073 52568\n1154 25065\n66186 67617\n15308 26237\n46791 80975\n3282 73032\n5215 11137\n60212 64944\n28895 66142\n45351 74587\n61675 70127\n1193 13657\n20593 51062\n17040 25993\n27040 35266\n23058 72913\n15526 62276\n46770 55383\n12040 65292\n86700 89929\n11983 48828\n75421 79634\n43294 47389\n66365 84851\n6702 56102\n44691 87558\n3655 77015\n32058 64776\n24351 41881\n37800 43009\n4106 81377\n1468 69726\n21114 64060\n61844 62046\n23005 66802\n23107 87916\n12719 50457\n1496 55747\n47109 72793\n2521 36964\n31355 67122\n42395 87757\n3467 75401\n35405 74750\n22224 25023\n10125 27547\n26509 59143\n65066 68106\n7821 31141\n4988 88939\n39884 55816\n67258 67802\n30087 80448\n14362 31822\n83248 84914\n41464 88765\n53161 55984\n26656 57648\n31408 60039\n17441 22474\n11210 63404\n3260 13611\n15579 28964\n42256 57086\n5047 69086\n27406 28084\n4232 75928\n27612 85962\n14835 40897\n44773 63067\n352 77572\n39973 44095\n3351 92229\n27354 56808\n42790 71478\n2370 90770\n68408 73113\n5296 64972\n62294 80521\n70488 87280\n31947 91111\n13861 30438\n13198 14840\n7104 76864\n54386 56466\n8099 64632\n24485 39811\n41782 81518\n23260 52649\n42827 91820\n26576 73433\n27840 67266\n25106 72259\n17013 35672\n32907 62755\n33029 33760\n1073 68933\n24278 54887\n23869 33934\n45055 53767\n33982 43006\n28825 60019\n69003 76693\n6524 31458\n20427 27508\n20590 49299\n54818 75464\n13644 84425\n17822 23512\n4472 39465\n6730 37296\n31903 74615\n10414 87839\n16208 92726\n43932 87773\n47941 78615\n39392 60158\n22743 33631\n30445 40997\n64788 89380\n68658 77104\n18005 92377\n63521 74083\n15791 67577\n17364 65699\n35728 69513\n22429 51613\n49862 72374\n46005 55960\n203 58994\n68840 72746\n67306 84979\n63824 68841\n10311 40106\n5674 83136\n9857 74265\n46797 68366\n18051 84129\n49345 50164\n50588 52451\n8915 91126\n5180 76463\n9299 40255\n9929 52889\n3488 3673\n23372 27054\n11053 35161\n56412 75526\n5746 75495\n36513 62204\n27396 71701\n5311 7524\n34951 47940\n16568 23991\n37996 78048\n16707 22514\n85991 91149\n71948 73216\n40782 79528\n63986 68172\n54243 81641\n18173 22676\n53047 76405\n23164 84272\n3087 49860\n84026 90321\n46822 84112\n32560 55390\n3927 46043\n60199 91043\n42500 48207\n75724 80088\n14207 59592\n74073 76142\n16095 60046\n10414 86876\n73838 79387\n17490 37789\n13185 73886\n1058 60498\n20339 62147\n50300 61865\n23868 80500\n26741 48763\n3862 29741\n66614 68421\n27712 28347\n25560 71891\n42381 86521\n42452 88320\n35734 79352\n19766 20906\n6613 55098\n34664 41618\n20871 82375\n22122 78516\n12576 40106\n42941 92910\n19792 30125\n20289 54946\n48036 61406\n2177 11037\n76206 91214\n43792 49323\n22521 66301\n45493 56584\n79900 92370\n47874 73354\n82748 92538\n5899 40218\n50073 82021\n27044 88316\n54263 78482\n48958 81851\n7452 28561\n14370 80251\n46512 75788\n10612 49662\n46138 91384\n26975 59234\n1516 47550\n53728 84460\n28972 40173\n33184 88164\n56902 72811\n37622 51851\n60202 82535\n40076 68758\n57308 80490\n38150 74709\n15493 60726\n57858 67998\n26160 84512\n31814 87464\n56734 64713\n12152 25650\n13078 46101\n11694 50556\n46045 67574\n52734 72642\n7311 73310\n13142 20533\n13427 24576\n33969 77133\n38384 78650\n67143 82585\n50316 92813\n43916 68869\n60250 73387\n49409 74014\n7548 73576\n3303 55330\n44615 73820\n58181 59803\n38088 52426\n23175 31271\n2416 49715\n47464 48637\n2408 90221\n70961 86076\n30016 80471\n52101 61604\n1485 2408\n5120 12499\n47095 66428\n52054 84376\n14033 80897\n19873 50211\n27452 35255\n30023 48260\n45533 55124\n1874 36063\n56921 87680\n70949 81428\n40826 86561\n18893 19259\n15591 61991\n21531 32144\n11643 22247\n8068 8394\n3638 78570\n199 14804\n11601 78167\n59805 73061\n13233 80711\n24991 68576\n10774 26666\n23426 31183\n9454 16034\n48899 62651\n9658 50396\n35184 71050\n823 41670\n25101 82237\n22125 81855\n18451 59294\n47810 86355\n38549 49405\n32223 86175\n61773 78349\n21046 34130\n43223 49954\n17320 34624\n14574 54299\n2485 57670\n3277 59396\n4865 16771\n11828 76709\n37473 61328\n46769 89626\n13848 46123\n14916 19922\n39508 41370\n19082 78332\n32617 51252\n11729 84409\n20625 90662\n12174 21024\n1987 68663\n65828 83730\n21494 26744\n4463 11265\n43028 70244\n3777 33700\n10818 67736\n8436 83189\n7565 59953\n28315 66486\n5218 87215\n15766 32048\n8490 31443\n54471 86436\n35749 71681\n34161 88583\n12490 26009\n10851 51325\n2862 75850\n36661 56344\n4725 71480\n54073 69277\n12437 14045\n4927 74848\n11708 68404\n6009 18098\n16065 92276\n77286 86791\n28766 82397\n37865 44861\n15562 76234\n34634 42383\n24438 80266\n20774 33506\n12181 78942\n21068 40165\n37712 90901\n9271 29039\n47377 88383\n59319 82893\n22399 84854\n6981 65811\n10293 36852\n27700 43930\n55767 66929\n15964 38746\n14743 61218\n7320 38976\n10360 29974\n8665 81626\n8391 50897\n10551 81440\n2481 83081\n11295 27384\n16236 58310\n23139 77801\n21711 37518\n5789 76154\n19211 26111\n3480 38676\n402 73298\n9846 86225\n23213 92168\n37613 44706\n60026 64631\n21061 71384\n56026 87450\n19486 88127\n26263 81739\n6027 56814\n67159 72145\n9477 72701\n49411 75962\n56278 80257\n39670 59260\n45073 88747\n30418 87147\n40775 66050\n9025 52870\n17853 82282\n20143 57275\n7951 51595\n51646 83231\n41327 84042\n68399 72671\n34388 72336\n11719 23021\n40051 43059\n63483 71403\n19787 47928\n38835 67830\n73657 74759\n41013 63753\n3127 76179\n16366 88376\n55307 90190\n48453 92984\n67971 84652\n13479 19967\n4575 16741\n54469 86521\n49492 70892\n30003 42677\n33691 78952\n22890 71010\n27743 90311\n29107 56141\n47814 48975\n13522 43144\n4523 54292\n17214 91026\n21074 79477\n8344 16394\n5171 80346\n13884 20133\n25699 25811\n35956 37778\n18271 79859\n47081 79103\n4645 7805\n60026 73123\n1675 11497\n15495 65822\n7454 50688\n36752 89585\n27411 54145\n327 53558\n76392 85056\n7201 16931\n131 56697\n27002 30611\n10638 51011\n49109 56957\n17081 28862\n25190 87945\n56053 81789\n19578 74707\n2259 4957\n23731 75611\n60125 66712\n6282 66953\n38354 45189\n27198 81403\n50073 91934\n32539 81120\n57014 62401\n78420 84927\n28975 41517\n17058 91633\n36857 69386\n9253 90439\n2834 46770\n16786 42303\n4514 59729\n51357 67885\n72975 79557\n9163 80603\n7715 75050\n25260 54340\n6804 51346\n7025 42032\n10527 75139\n64621 79950\n64243 65095\n40195 87991\n20972 33131\n16482 79570\n66318 76584\n29704 81693\n13866 83611\n64530 68789\n24491 41792\n66986 87610\n309 75521\n28410 35339\n68707 88565\n72773 92128\n41485 59087\n46798 87649\n23102 86627\n40008 41981\n7644 60705\n35144 36821\n22418 80058\n12447 92371\n26047 54152\n25015 51074\n22539 59183\n41352 49199\n4563 39512\n39144 89678\n42353 50839\n6301 34944\n35904 70121\n55815 85708\n45786 83347\n41744 70538\n6234 42327\n19342 84250\n29088 53127\n36526 73835\n15444 26989\n2241 44938\n49783 75533\n39394 55911\n12592 73558\n6668 16614\n11180 68439\n32778 37437\n39646 45435\n29097 48965\n7019 26604\n28970 47170\n20813 66658\n19206 59855\n26484 33594\n88882 91537\n33645 73473\n29466 32898\n19640 46347\n35565 46388\n52844 55564\n50392 70806\n31437 73597\n45064 63029\n55854 80476\n3259 70843\n39409 85115\n9250 35271\n43422 77945\n22185 45150\n35658 35938\n33082 46872\n43001 74794\n19037 48097\n55449 91699\n7075 76787\n8696 56656\n37446 81338\n22510 53983\n67107 91690\n27145 91882\n10982 84625\n30815 51630\n35013 87466\n61673 76972\n44873 50676\n20594 23220\n48229 72591\n40660 62146\n7796 12574\n45808 91403\n2278 41774\n24247 34242\n9894 52965\n13304 50651\n42903 83335\n54539 76511\n9349 37120\n3269 38912\n32126 33563\n30503 32910\n43454 73076\n36593 71115\n9914 17509\n78497 88999\n29103 72858\n81199 84978\n53267 63239\n52886 89141\n30998 60972\n11181 84565\n14255 83425\n28335 40503\n34579 52598\n35320 78726\n23791 53236\n10728 74211\n30990 55549\n21440 22213\n50739 83288\n80134 87156\n4988 58629\n47739 49705\n16025 20819\n77996 78752\n74410 76113\n9556 84858\n49645 88064\n18155 75909\n50251 79085\n2361 17789\n16077 38139\n41434 45969\n10315 20405\n33279 81700\n13379 57419\n21227 82756\n17295 87189\n45685 71636\n59643 82442\n45283 45327\n22111 36481\n48865 51516\n6410 75948\n51370 62613\n25477 42264\n50115 75353\n16237 33722\n60889 78302\n32778 43676\n6302 23653\n21259 33474\n28328 87556\n49895 52677\n5215 45116\n32716 89662\n6781 91904\n11041 38868\n72133 91195\n47762 60633\n49831 79272\n28563 28588\n57606 88652\n50141 70996\n12004 82297\n80690 81424\n35515 44277\n45163 58873\n15401 51450\n8484 38088\n8427 54672\n11380 70299\n4078 92924\n58355 85724\n37228 42432\n65745 81621\n32624 76191\n7536 37989\n3526 80178\n24707 86531\n74613 84476\n22113 45261\n60531 70387\n66864 81490\n38964 84784\n771 74625\n638 3159\n21496 27056\n68711 75473\n72858 79288\n5662 7205\n65211 72880\n63808 77772\n2633 51627\n58250 81067\n60861 82993\n31647 50635\n27194 46605\n38388 50582\n22288 23350\n25548 31520\n22618 36878\n69906 76262\n5775 40392\n62495 72954\n3832 14600\n223 64537\n50818 71428\n12915 91164\n43481 76954\n30885 57017\n10088 13753\n63896 71884\n46582 68993\n26635 86650\n3587 80901\n53297 88094\n17181 66995\n17926 78981\n53508 91144\n35956 70225\n59453 61435\n10484 59706\n18219 27177\n3653 57697\n18133 32137\n16216 60910\n69544 81293\n33536 71316\n36632 83493\n65001 67510\n20969 34140\n30440 43281\n21647 92244\n14639 30585\n43344 71423\n11859 75373\n41458 75860\n55923 86389\n26285 87541\n60114 60195\n9733 27227\n17797 59998\n50061 83875\n11652 61707\n55171 73663\n84249 89365\n74727 88954\n24518 44600\n10176 57645\n45837 75377\n6476 43999\n758 7757\n76123 92425\n79284 86815\n55896 78344\n31294 38058\n40798 68323\n5193 36611\n34100 89439\n30588 41533\n40766 62902\n8701 21903\n61319 75424\n16655 32929\n12560 27939\n54074 84817\n44817 81209\n2177 8605\n35117 63616\n7880 11512\n50217 62181\n3793 91582\n63804 90414\n42325 81818\n36474 58555\n17972 80007\n43 16870\n81461 82855\n64570 79971\n1928 38631\n50001 84685\n35832 66433\n18543 41484\n10572 45967\n42332 79342\n41486 74961\n3070 10348\n48594 82343\n20052 90588\n2008 92024\n18092 23236\n40518 47912\n54128 81471\n35373 70581\n40127 88693\n64962 69460\n53742 76652\n37220 89621\n57576 69855\n28932 89326\n54729 66180\n16003 36269\n79815 88969\n40427 89233\n14129 71050\n54206 55209\n18583 26528\n73893 79313\n11382 58624\n4030 49168\n6662 49774\n46633 63996\n960 36621\n46506 52165\n26663 59816\n6310 31079\n20128 90010\n75964 90713\n3102 17410\n57480 58380\n44084 89546\n11162 84449\n5762 82002\n27570 39179\n44078 52814\n48658 76076\n30177 52650\n24916 76034\n5528 67307\n32033 34039\n23465 31810\n270 7415\n8994 73207\n21585 78325\n35324 38592\n36838 44530\n25569 53132\n64709 74493\n68798 68867\n33267 74382\n9625 64217\n25411 31092\n196 31296\n21817 66189\n82871 83620\n15553 73928\n54781 76980\n10452 39425\n40145 51713\n38490 51487\n10250 40316\n68675 79049\n16723 42164\n63747 75361\n4260 54118\n17602 80292\n24958 39809\n1654 65376\n20088 48078\n60094 68296\n8517 71963\n80065 89118\n75202 79178\n5300 18342\n10038 30587\n14439 65141\n29058 88072\n20161 34025\n882 64519\n38750 74207\n18860 26444\n49801 68899\n19182 55158\n72981 79562\n3487 26452\n48973 83832\n20067 92713\n3430 19246\n40075 72518\n1233 74369\n4434 58219\n14514 63051\n20426 51097\n3573 43423\n28784 45141\n44766 70786\n5354 41334\n54703 65343\n41526 90683\n37798 64649\n44484 63752\n44773 78771\n25001 36707\n634 85766\n50182 55493\n23819 57892\n2356 82935\n14069 18742\n42014 75326\n31150 33959\n18125 58108\n5137 7391\n17762 32636\n62066 80991\n53557 89299\n10420 47500\n45554 60560\n34261 75116\n51515 52014\n57960 64201\n45358 89026\n52739 92805\n803 49411\n17390 26977\n3521 89400\n31630 85233\n44855 68178\n40486 53892\n17459 18457\n2233 24280\n30689 58866\n14312 39661\n15710 26196\n82100 82893\n6970 16146\n72107 81958\n6149 39359\n7148 79030\n30289 33522\n19052 72917\n31897 42115\n57551 68701\n26506 86224\n13098 84005\n3630 81301\n75049 92972\n83841 87921\n38888 51546\n74850 78768\n28134 85156\n61743 92103\n15864 31161\n47 81021\n21015 87085\n26816 35465\n67717 91648\n62892 71515\n15525 80622\n2859 3374\n13618 64349\n27751 48042\n8911 33656\n24530 55259\n13373 31224\n28632 49884\n19353 84532\n22379 73074\n62758 63846\n37800 46375\n42556 90573\n33012 80500\n12094 22572\n35121 45767\n",
        "output": "330\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 85,
        "task_id": 541,
        "test_case_id": 18,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "48681 91099\n5272 5707\n3606 13957\n1818 26614\n478 45657\n14231 29176\n11227 24275\n901 38469\n19032 19629\n2827 22228\n13426 42118\n26737 48519\n7050 13769\n8716 32006\n26425 44610\n7702 11036\n5872 29304\n28571 34387\n29141 37368\n12827 28657\n6445 31364\n22970 30240\n3615 34494\n38198 40622\n23992 35288\n8301 36134\n23982 40288\n2052 38887\n5761 19649\n32154 45386\n3264 33227\n27713 43050\n3686 27984\n9383 26775\n7319 43360\n13734 18637\n21891 43564\n22079 27929\n4798 26943\n9125 39642\n41097 44194\n32546 33939\n36823 39807\n4169 35351\n25463 38001\n23135 41531\n1971 43968\n38760 40605\n18047 32170\n23546 38240\n39190 39301\n11628 37488\n17775 32613\n42163 46084\n29288 38968\n15767 20025\n7191 36595\n6017 16914\n13495 24295\n332 48255\n15329 36273\n12866 33305\n1655 27574\n30306 43809\n5291 21804\n13788 24208\n28834 43947\n5788 16520\n3219 11233\n24168 27268\n3188 23617\n8691 25920\n2258 11437\n9894 46995\n35670 38600\n29416 31514\n35116 45210\n39832 40849\n20155 34682\n7216 8483\n36041 48615\n7820 44412\n39499 43562\n17770 38230\n3067 22613\n9228 25297\n1944 18796\n8949 39994\n5727 45934\n27057 37651\n36926 37778\n12107 38320\n3968 17641\n29423 34841\n21782 44638\n40525 48197\n19069 35493\n15461 19162\n957 44134\n33462 35763\n17505 18717\n35876 39213\n1432 31846\n4233 43911\n22104 22492\n852 37818\n25112 33989\n8207 12287\n34217 46530\n2629 3237\n3852 23504\n23405 39723\n16156 25520\n22532 46957\n31194 48286\n36652 41340\n25607 46925\n4202 24337\n24451 30765\n5485 41793\n34223 37493\n4694 41213\n18355 40686\n28551 30605\n39602 42574\n4399 48275\n8174 28097\n6216 24995\n23358 36751\n15509 16837\n14795 27368\n11579 26286\n43143 46925\n18632 24678\n30904 44477\n6271 19948\n9674 35376\n42658 45576\n30745 45075\n101 5145\n19738 47166\n9699 15632\n14188 31413\n31258 46512\n19132 38658\n757 24068\n8705 13029\n11461 47289\n515 44716\n15386 20671\n13655 34972\n618 2240\n5963 26462\n19483 23518\n1855 23861\n23856 43567\n15686 45032\n9598 36879\n3489 41333\n44056 46160\n10626 24945\n12766 31723\n32062 42717\n16659 48159\n8361 17274\n22537 28704\n9742 11452\n17718 47161\n11793 15663\n5679 45410\n9274 37491\n6551 31820\n14333 25527\n5333 15597\n6037 36593\n5083 7159\n1522 18250\n35061 41860\n2278 46947\n38189 42838\n5652 6337\n4267 24047\n12195 13911\n20485 21754\n10627 42764\n35168 42284\n9741 29214\n31255 36896\n41028 48154\n31048 39184\n22271 39801\n31322 42351\n14975 31027\n26800 36626\n21660 33540\n9016 47894\n23850 48432\n43813 48384\n8111 41113\n29939 43907\n10239 37411\n10110 22555\n6203 8535\n27184 30713\n11379 40832\n4568 12076\n7388 30410\n2484 33937\n20141 45071\n8149 14619\n8596 47616\n2071 14582\n11997 12827\n38035 43743\n2878 28820\n1082 12368\n9925 23199\n16112 42778\n21418 28441\n2411 3412\n12176 24547\n8825 19876\n16274 27564\n19405 38276\n13803 15699\n14062 25965\n11356 28433\n32848 42801\n2692 24346\n21615 46811\n5211 27707\n8582 29794\n11115 31427\n7969 17210\n19536 36571\n19020 25872\n27550 43535\n22165 43072\n14563 47097\n30308 42814\n27433 38300\n23909 24152\n6261 39474\n9258 11433\n23831 33212\n17942 33335\n6793 28132\n20998 48009\n19765 44341\n17171 23078\n1592 4726\n6882 27007\n10586 27719\n2768 46417\n7826 24643\n24090 32909\n15533 41011\n24277 48501\n9822 11395\n34227 42862\n7423 13974\n724 40012\n5092 46025\n16979 20781\n27568 47205\n2479 37322\n35228 45274\n14614 39717\n11135 32295\n3478 35463\n113 16696\n23267 26813\n38929 45656\n2997 18554\n1438 21301\n6991 39729\n25045 44181\n13492 14084\n9288 29078\n2792 6889\n6870 23542\n10710 28268\n671 36623\n9648 13086\n11381 11832\n3059 31463\n19170 40725\n33463 38224\n5334 19194\n15422 35873\n33230 35624\n15620 42161\n21586 25343\n30177 46622\n6344 37400\n190 41282\n665 13081\n26563 41659\n10078 39763\n19876 38040\n1262 18955\n21635 34774\n5033 10872\n22778 36192\n14085 26581\n22941 27487\n10723 13613\n2847 44110\n26559 32003\n9128 43122\n28269 34651\n2115 31177\n24222 31513\n23129 48263\n30643 32602\n22584 32081\n13349 35713\n11024 43396\n6809 40812\n10079 32587\n20033 35479\n24768 31407\n5842 44078\n15931 34953\n23097 38118\n8704 16041\n8902 12511\n4814 41762\n10411 36949\n1459 34943\n27711 35825\n22819 39446\n27908 34033\n5030 45725\n6484 28665\n3775 43096\n4498 44656\n14645 15332\n27193 39703\n6658 19748\n31063 34263\n39368 47872\n3125 36821\n17950 25457\n34266 34373\n1780 17893\n833 13141\n39438 39917\n29604 47776\n11067 16820\n3509 30772\n23280 32163\n22076 47366\n4188 16269\n6293 47382\n27390 44462\n26227 28318\n7975 45922\n30781 44813\n7229 27953\n10004 12174\n19495 35283\n18278 26465\n10978 25193\n14210 32999\n22480 26843\n8745 45018\n39503 48639\n20388 24900\n832 43289\n1263 46889\n9154 12094\n1147 3532\n2316 2674\n18479 18716\n26953 32522\n8730 37993\n21069 45447\n20379 39004\n21643 46990\n3740 38664\n9678 16879\n44125 46247\n18817 27044\n21056 42532\n45166 46897\n19928 27311\n3144 4908\n23523 30788\n21171 37524\n11152 42783\n40687 47846\n13916 48125\n13713 34202\n21074 44404\n712 16078\n27191 27729\n5460 41285\n30833 38247\n12726 24768\n3925 5882\n17248 30880\n4503 35299\n29084 46265\n14683 48236\n16318 44729\n35201 36054\n19207 36563\n22064 42868\n27131 40277\n9279 31777\n3896 37465\n3572 24423\n4756 7595\n58 34215\n29528 38733\n3480 16923\n20067 40294\n8706 14474\n12533 30186\n34597 38022\n26862 42580\n6806 39854\n38590 48136\n165 21778\n6709 23026\n1468 47049\n10039 22380\n34106 45326\n15088 30436\n9241 40591\n9430 29724\n2013 5178\n6821 38982\n15616 26933\n14157 21017\n13544 26699\n12138 45691\n1914 11238\n216 24121\n8091 38517\n10327 47853\n31359 45223\n17341 47723\n22904 35574\n13192 26732\n13961 34970\n10962 13822\n14783 39508\n26736 42262\n6229 37469\n34905 45933\n16349 29426\n17807 40456\n10703 32951\n9200 11352\n14594 16861\n257 35205\n14059 23078\n9650 45180\n38836 48638\n884 28589\n27113 27944\n38115 46192\n37775 48022\n13380 42466\n4625 12984\n18880 42395\n18535 20379\n30659 34855\n20589 23724\n33178 33481\n5222 36823\n32180 36013\n20673 33206\n17657 43882\n14545 31847\n16440 44292\n3708 33827\n4576 24509\n16756 25155\n3711 5774\n19313 32754\n19320 27202\n22775 42414\n17915 44900\n27172 28476\n1940 45632\n3170 45544\n22649 32112\n18355 28495\n28261 45774\n14916 25898\n16178 45174\n24532 25083\n25712 39520\n37337 48018\n31358 43724\n11751 12697\n15391 16108\n21168 39896\n17305 24469\n26478 28814\n7361 34251\n306 45697\n18403 18615\n6744 27649\n14316 24047\n9089 27249\n3528 17154\n11289 43927\n8703 39206\n1534 15351\n29668 40433\n3165 32237\n3093 29310\n26475 28114\n15574 34742\n10138 35722\n23068 40129\n1020 3736\n32264 46747\n33521 35490\n15094 15656\n31747 35643\n28906 34379\n1223 25390\n6674 45000\n18203 18885\n1088 8128\n7922 8058\n35973 36438\n3717 14514\n646 16069\n28459 44426\n13396 39846\n20622 31508\n640 40582\n10881 10982\n4492 8135\n5913 38657\n6342 44507\n11305 33619\n22060 39395\n813 17772\n5919 7922\n808 42739\n14902 37173\n28762 47524\n574 11487\n4319 41587\n2495 12315\n4230 31243\n13956 43938\n35749 41622\n30904 36021\n41123 42199\n35048 39345\n20259 47892\n12787 24457\n17984 33374\n3488 39336\n28855 36450\n29345 40457\n19402 43501\n19836 27302\n4914 38763\n43185 48267\n25455 28815\n31112 43934\n1848 25662\n24426 36111\n6850 16645\n10050 40633\n1032 18820\n15623 36871\n20127 32822\n628 9502\n7008 32962\n3622 46466\n14560 21714\n27940 30042\n8947 43501\n4896 23596\n11478 20486\n21475 38986\n21275 44106\n4516 39487\n1587 7222\n4870 20223\n14485 28225\n3532 7744\n3928 38203\n30005 32232\n37706 42922\n9175 19043\n6588 38696\n8058 23725\n1336 45908\n26894 40676\n7974 24394\n20106 42960\n6280 15748\n7995 30908\n34933 42302\n1779 37181\n16173 48269\n3890 7016\n1627 37279\n11724 36704\n23922 46949\n25256 46612\n27417 32360\n15072 38174\n21946 22733\n4190 17940\n1753 6841\n19030 29477\n4205 24621\n8318 10665\n32436 42259\n16204 45952\n29536 46350\n24228 44775\n11891 37643\n12335 13786\n11819 36766\n22119 24005\n5546 40508\n16442 43873\n9799 42780\n35445 46596\n7080 11431\n19654 48388\n11525 29243\n21681 43607\n26853 45875\n4929 17881\n44241 45838\n19989 32387\n17410 22004\n23901 28711\n33570 36347\n14094 46387\n1328 21809\n8490 27649\n13988 28783\n17357 26486\n17838 33922\n33019 39157\n7638 24191\n24648 35942\n31379 42388\n1012 13285\n11943 33060\n12645 35378\n27140 35542\n12735 22045\n11364 11766\n12230 39099\n5130 28943\n12988 17563\n12713 35385\n6127 27846\n28855 40609\n11284 26998\n12392 36188\n23612 39849\n4851 27798\n25360 27592\n12690 19605\n34728 46590\n7886 18627\n3309 46504\n7751 23493\n25121 43461\n1080 32177\n28815 41320\n4273 11852\n10555 48028\n6241 14392\n27520 37470\n2459 3850\n23549 38231\n2551 12017\n11614 39864\n6932 25701\n3226 19328\n28594 40612\n4647 36235\n25928 27818\n3576 5706\n10273 24758\n605 35888\n40986 47883\n4519 7561\n559 17306\n18834 47114\n15773 31149\n36601 39070\n7386 19319\n33037 39193\n34632 36168\n10255 11226\n1192 2919\n13855 40506\n8735 33179\n14111 20987\n15069 40582\n31276 38163\n4524 41746\n17285 41648\n26049 41530\n13924 17015\n20411 36397\n10979 15378\n13637 36974\n23135 38385\n14366 37160\n21507 32563\n4724 17535\n5705 17959\n25044 40239\n33411 42381\n2092 5854\n3883 22459\n491 23990\n29856 47755\n15553 28839\n5058 6933\n14736 39785\n28112 34935\n43900 48125\n7426 12948\n7217 46929\n38915 44548\n13048 47208\n12248 15325\n11713 45548\n20457 22586\n7797 29439\n40184 40632\n17932 48652\n5599 22578\n24025 27255\n39501 48438\n40592 47433\n34794 40408\n12719 39342\n11062 20488\n16958 43427\n23661 31356\n35271 38897\n5602 15920\n12448 27669\n3518 20043\n2070 8461\n8264 25412\n3434 25421\n2832 44075\n25736 33211\n13168 27574\n32423 36376\n5198 21728\n2630 33127\n7709 14260\n7794 16732\n11828 29747\n6443 44882\n8869 26237\n33729 46288\n4734 13551\n3521 47501\n32650 47478\n25277 29931\n16733 23017\n24371 26658\n1854 10710\n7009 36691\n6739 40532\n19314 31950\n15343 47127\n3725 9715\n10055 43146\n25734 26073\n8492 20809\n24001 26579\n3991 32041\n5723 28201\n20062 44139\n18376 29225\n28404 29378\n5622 10869\n21505 24882\n34624 35359\n10331 13196\n18170 35076\n22430 34766\n21862 26442\n26294 33117\n4512 16472\n7262 18516\n35949 38224\n18011 27096\n1194 44389\n19712 25749\n17159 34103\n31657 38360\n13019 13373\n12333 18059\n16185 25446\n7671 20568\n17574 45150\n10094 33086\n327 30336\n14342 29222\n4020 43390\n18289 23836\n26963 30325\n13567 22673\n22213 45486\n9470 20615\n25368 39795\n17591 30439\n9628 26011\n6656 9307\n27580 30989\n5932 42335\n72 25047\n17547 17607\n10546 22710\n9664 28263\n3872 27311\n40095 46136\n9485 16807\n22546 44975\n18438 45256\n14214 22711\n1604 16910\n17513 28757\n14045 22006\n26517 44680\n4193 10606\n305 33256\n2666 11318\n20864 33159\n7641 47928\n754 31280\n3685 32167\n7754 19804\n1355 25854\n3170 19046\n13293 28649\n30012 47289\n195 32646\n18057 35759\n1797 47289\n26940 32776\n29803 33021\n24253 33544\n9522 12812\n7617 13551\n4578 8456\n21933 44284\n20138 26896\n26330 46452\n1264 25676\n9953 19234\n3304 48629\n6533 47477\n32298 32966\n26707 45033\n27331 31797\n7771 33330\n37708 47560\n1214 41056\n3635 12742\n15276 44132\n40418 40572\n2299 31530\n33347 45302\n5545 26272\n6221 39006\n28473 40278\n1891 12258\n21754 25104\n4466 37823\n16545 32007\n8354 11353\n9182 15163\n8575 28597\n7035 36061\n9675 13342\n20455 32812\n9236 36539\n20692 40023\n42289 43078\n24082 25240\n35264 38051\n40307 43013\n5918 37399\n6750 30099\n25366 40601\n24651 25108\n9862 22237\n14637 17527\n13624 24394\n3399 48429\n19044 34996\n15197 34983\n16976 23603\n1098 20107\n15483 31291\n2257 44145\n33344 43494\n2030 41304\n1679 44822\n15266 18709\n37712 39152\n10306 44427\n9330 10974\n2861 18046\n14921 42509\n13893 18621\n36663 44917\n3997 6038\n18334 35230\n17296 32163\n704 36908\n17844 28112\n43451 48458\n1767 46008\n4281 8444\n3742 27906\n29375 30633\n41165 43978\n5784 35663\n23422 44480\n41761 45809\n19056 37768\n26053 30055\n21860 37855\n18889 47583\n16760 31453\n8829 48530\n22119 36210\n5849 14983\n21404 46931\n18869 22288\n34585 36474\n17684 46177\n15875 17649\n3257 19387\n7086 10382\n13113 33887\n14417 26220\n24166 25008\n22171 41512\n18380 21061\n20879 25272\n5748 43705\n102 9112\n7324 40265\n2647 47152\n6208 31580\n10981 23525\n30056 33292\n13355 46454\n28698 33796\n3286 18856\n4177 10039\n6947 46000\n8519 42547\n1774 26902\n9604 23695\n12432 29722\n11347 47561\n31469 35596\n13768 30674\n7157 25740\n32316 46500\n17 39603\n15026 17253\n31604 39649\n5315 14746\n26374 35350\n35728 39807\n5565 28463\n1962 26070\n351 21649\n2270 2474\n26031 46605\n6470 44305\n4269 37750\n3134 37350\n26511 43738\n13308 19321\n26364 26696\n8484 44792\n7970 47871\n31437 48326\n4665 30079\n4518 39665\n44429 47032\n5442 36095\n11693 22691\n1074 2794\n12463 31979\n24162 26045\n27823 35332\n12827 46156\n7849 26316\n4720 9049\n948 29976\n14220 28484\n31281 47593\n31736 47024\n29157 31312\n18341 24037\n17710 42267\n1954 22065\n35785 38894\n3843 17702\n12834 26659\n2461 19582\n2755 21022\n7578 11607\n31068 35894\n17224 18052\n18915 26603\n16897 43616\n2525 28110\n17996 28168\n32586 39054\n37578 37745\n27952 35552\n7334 26558\n10791 41902\n14342 30520\n6919 21007\n14973 15342\n30417 47058\n18460 30332\n208 4349\n4401 32175\n6202 20600\n14218 22352\n5443 25688\n5356 40472\n23268 36830\n30730 46665\n10506 43674\n16744 34354\n2588 23226\n17369 38395\n20241 35811\n13781 16099\n15881 40613\n19473 30795\n29034 40563\n965 35264\n331 44489\n18822 47045\n35972 44942\n10215 38707\n7188 24861\n18441 44995\n29736 48356\n43966 44267\n18622 29380\n5032 7565\n10865 37749\n21816 29393\n295 3950\n18577 39749\n10 33371\n35087 39125\n26699 31307\n5996 10894\n8429 36255\n35900 48190\n7590 33888\n9437 48203\n25400 27125\n814 4229\n32704 39202\n15631 22518\n18055 41374\n798 25181\n44824 47092\n9493 27669\n36769 47691\n10887 14657\n8992 28252\n37949 40266\n7456 9433\n8031 19421\n11541 20069\n5378 13328\n34454 40921\n8533 39712\n4512 22093\n3687 7864\n26211 38450\n1946 3054\n30164 45417\n4497 45844\n25814 47721\n32094 36293\n8181 22656\n31902 32813\n51 6422\n29609 32941\n1881 42060\n16302 42491\n6694 13611\n562 7424\n1493 45192\n21851 30826\n2019 6942\n20911 32904\n45899 47615\n34351 35958\n23633 36954\n5819 46423\n29343 44026\n13708 14883\n21783 27343\n1105 11418\n36529 46374\n7443 28586\n8855 43721\n4671 19299\n4364 18363\n15822 40650\n2020 30633\n28889 35097\n5117 6469\n23696 27515\n38838 45485\n2948 46511\n2668 38165\n13441 38568\n48059 48539\n21358 33157\n25012 41957\n35630 48044\n11603 36226\n14652 32286\n2540 10419\n4592 12962\n9642 48169\n1461 16905\n1649 31753\n34071 47363\n11156 33989\n19075 38224\n11606 20878\n13508 31059\n9155 13916\n24532 29296\n18544 22323\n5587 11539\n3407 38505\n8017 40152\n13165 24475\n10027 31184\n11485 15974\n10216 28160\n20371 22671\n4245 20501\n25085 29328\n19457 25447\n4746 12149\n34491 34574\n17252 40193\n287 432\n10705 35547\n6116 31926\n8300 40510\n29132 47749\n20429 20467\n20880 44776\n38666 40726\n14595 45829\n9303 43494\n17552 45437\n13378 40952\n27588 42384\n36025 43541\n5481 17177\n12006 39021\n4364 11878\n25760 31089\n12460 42407\n2130 27441\n13469 47611\n266 19243\n20496 34730\n19698 24673\n26394 33759\n18724 48378\n2944 9454\n13618 37945\n31151 48468\n12957 16746\n3962 48221\n15843 40799\n44893 45626\n4621 21440\n10046 36622\n1389 21409\n16033 47492\n6786 48560\n30867 47208\n13116 33505\n13175 46505\n2368 31415\n11266 18610\n35301 43309\n20879 21175\n19700 48055\n20063 23065\n20537 23450\n9377 9557\n32220 38042\n10491 28052\n5876 24494\n9766 45538\n634 8396\n23785 42808\n10471 29346\n8222 28277\n1002 21361\n30293 36664\n2387 42403\n11127 16659\n17309 28279\n29702 36264\n4191 39407\n10363 43994\n8319 34911\n9734 39483\n4894 5784\n11129 25575\n11425 33906\n18266 38262\n37329 42486\n1622 33016\n13830 15282\n12097 36460\n9051 43487\n33443 39217\n9169 30430\n41199 42309\n24452 33507\n7594 32400\n12983 26013\n37669 41591\n21914 39900\n24949 29788\n28660 45253\n28310 42782\n19676 43781\n1104 44627\n26620 26658\n12959 17628\n12400 33930\n31366 48096\n32393 43756\n18904 21692\n9092 19920\n30382 43643\n25026 44311\n22647 24870\n3478 22688\n4466 38516\n3290 27979\n10681 46329\n9482 35925\n14732 27982\n712 10843\n19914 24059\n36528 48426\n2890 17236\n14581 24376\n21166 30225\n11835 31304\n4725 46994\n6577 17221\n9006 46220\n14 24097\n30225 32587\n9851 21762\n18635 43336\n27717 29997\n7318 26680\n17074 38273\n1173 10651\n38173 39933\n5179 47782\n7125 27053\n24125 34028\n33118 35847\n1342 16927\n2941 11694\n38461 46786\n14674 25026\n15423 16145\n24102 48363\n3372 19285\n34386 37997\n3839 25024\n12291 26619\n23790 32751\n14519 28179\n5742 20418\n2929 10295\n25447 41430\n8072 39302\n17820 32259\n7381 8024\n33046 38396\n12824 37961\n38351 47318\n1094 28451\n12149 33502\n41180 44549\n26579 36776\n7676 46986\n37506 43846\n728 20319\n13403 21061\n3922 11152\n13944 47789\n12180 35948\n30522 48091\n13331 41058\n14024 41163\n23903 38645\n15643 40414\n45117 46111\n4208 24796\n9160 43638\n31903 33549\n33164 36370\n1745 2591\n23223 25555\n35600 36944\n44154 45000\n27194 31274\n11076 23673\n14509 47187\n2915 33170\n13143 21163\n29535 48412\n18449 34785\n2450 48333\n3363 23745\n19565 32894\n31758 42631\n17792 41362\n46914 47387\n18354 28529\n11313 36593\n7869 31657\n21347 35130\n13756 21500\n36652 46180\n2048 8610\n5114 30265\n6400 21615\n38891 46396\n27548 36465\n20044 36943\n2500 22735\n673 43050\n2091 31019\n7650 44891\n6374 28219\n17132 44763\n1542 30871\n25508 37825\n10310 40488\n5958 47613\n24676 34700\n1137 18845\n15316 18828\n10337 43233\n7009 16578\n13216 15610\n17863 45971\n9652 21212\n8570 15780\n5146 11638\n15332 42010\n29344 31837\n34222 45034\n13549 41819\n24488 29921\n16410 48639\n24594 25232\n14336 46383\n20290 42535\n5321 33936\n26909 46793\n18029 33151\n11352 40092\n30007 43874\n13562 44576\n16191 41499\n23032 38778\n21520 43817\n9618 24759\n3917 13503\n19914 37749\n15991 16003\n5212 31185\n17133 37286\n2960 19810\n13618 20037\n21182 43750\n31790 44307\n26682 48424\n1317 35808\n9724 33985\n15506 47760\n21285 33703\n18639 33085\n5926 39023\n4352 23986\n1572 12942\n2741 12623\n16461 29883\n3520 31721\n7064 38299\n9418 34404\n18583 29675\n20920 42143\n10277 22040\n628 4405\n25190 34758\n14545 18894\n3239 45740\n5560 15320\n18097 22950\n6760 18967\n13328 19942\n6851 29344\n13581 20894\n8140 15974\n22025 31918\n4001 30042\n10847 46366\n8658 30329\n14958 16046\n20304 32201\n17140 48525\n18227 46695\n8958 23228\n19279 28300\n2774 8566\n26106 44842\n20889 44068\n42425 43209\n41262 46535\n19111 35594\n21653 40599\n26833 28914\n10051 42600\n4366 5290\n3892 42276\n1551 10981\n23518 35031\n27339 38666\n20406 34950\n21150 23701\n35286 39641\n1755 22567\n6119 34487\n6593 44276\n4715 14213\n23032 27843\n4473 20927\n6604 8023\n10011 12340\n41110 44959\n2164 4194\n11614 23980\n14170 27743\n9773 22747\n14898 44095\n11766 39133\n17825 42122\n33797 45957\n27295 48577\n1562 13794\n9131 47781\n25437 44758\n319 424\n24367 41688\n27716 30001\n28508 36210\n22201 37002\n38618 41966\n17486 43277\n7287 27222\n36617 47068\n6433 40842\n11947 33372\n22588 41099\n26101 37563\n17473 19096\n25087 32826\n119 43989\n2344 39320\n12349 46877\n1606 9906\n36747 45552\n2483 14435\n5705 39333\n28877 30644\n8159 31762\n7556 21750\n598 10912\n10730 21080\n33019 33570\n41975 44157\n5988 13469\n16469 44566\n27126 30618\n370 7275\n40199 46312\n15443 45785\n15468 47543\n17881 38993\n3841 37123\n9761 37327\n14218 25247\n3327 35580\n9156 38155\n10686 44376\n2109 38968\n14034 22876\n37052 41457\n6717 7349\n5588 39686\n4050 21157\n39524 42288\n35446 45784\n26464 42451\n7895 36846\n28091 33642\n4108 39493\n1421 39627\n2404 19555\n26373 44429\n42210 46461\n30523 46398\n10160 40510\n11089 25875\n12756 15650\n2519 16681\n9119 46110\n1519 30025\n7992 17465\n4377 34414\n5591 34086\n16112 39146\n12601 35311\n3429 28225\n45002 48041\n11751 44674\n851 19781\n10750 29306\n1970 23028\n8235 36834\n33100 48606\n25419 26167\n7793 43296\n22972 43419\n11679 43292\n13187 36888\n1343 18662\n14315 41824\n20274 35996\n14732 47309\n618 30746\n29620 47177\n12302 24566\n20674 27348\n10014 24945\n21994 40737\n23887 44742\n8748 16152\n17682 23650\n28063 41802\n38493 44419\n8963 13453\n7666 8213\n4917 16546\n14173 25675\n31449 36711\n17386 37220\n5249 12609\n42855 43502\n33580 47577\n30328 41656\n1760 30566\n10347 10980\n18964 22336\n9316 21023\n7846 10174\n22595 41887\n38012 44691\n2248 23532\n28723 41370\n26039 32258\n27945 37756\n28334 41634\n11054 14175\n27079 32189\n30489 46419\n14991 33862\n30837 46600\n9513 35433\n3327 10970\n10856 27733\n15245 28421\n32152 43954\n14272 27198\n6221 6634\n37536 44170\n11281 30584\n33442 35260\n9760 10674\n16189 17801\n26005 33902\n19311 30656\n6606 43556\n28721 46058\n10681 40531\n19693 26977\n3743 36181\n4377 13097\n8470 30797\n7643 25516\n20480 21712\n33546 47707\n4181 15926\n11979 15983\n24406 47368\n12044 16006\n20891 31859\n20784 32084\n27483 33638\n4598 16457\n23837 27064\n5648 41909\n29186 45572\n16948 46137\n41696 46815\n10772 43306\n1198 4073\n7646 13255\n11707 39635\n13687 41317\n13343 37973\n120 16032\n12641 27772\n1186 30326\n4306 46500\n7891 31765\n37642 44523\n40626 47730\n34955 44704\n17009 27926\n29816 47526\n22028 24824\n32369 38057\n9255 41694\n12807 40206\n7235 14417\n24661 34756\n13480 39583\n8990 29639\n5520 14016\n13941 43911\n21594 22890\n24154 40704\n43695 45229\n7903 23417\n38678 42738\n12378 36794\n720 6929\n1808 33369\n16780 33198\n5048 9575\n17150 34047\n4449 13607\n6175 19118\n16402 38944\n17339 30292\n450 41322\n13416 40378\n6784 42067\n21255 30737\n26325 37712\n23055 24006\n8362 41916\n7756 23848\n8450 13365\n9029 42286\n14987 34013\n4036 8463\n38809 39658\n17897 18558\n2805 3173\n9780 22449\n14102 38277\n5939 14234\n11788 27394\n17379 37356\n34598 48450\n9180 25403\n2542 35820\n7893 48545\n14999 36689\n10507 30535\n6968 45038\n8037 17336\n5455 27567\n23970 33692\n17201 32700\n15225 40752\n41295 45597\n33009 38590\n12657 35206\n30877 47053\n30899 32845\n3254 46415\n22231 31784\n23029 33870\n1438 29175\n1305 31473\n7834 24878\n23785 37184\n5930 28269\n21931 39805\n6067 12125\n1709 3358\n11018 19433\n16349 45826\n31558 40579\n6963 9021\n5813 13074\n20115 47326\n32193 37244\n17307 21720\n30427 33605\n2477 17303\n21367 36168\n12222 23442\n28409 47587\n856 3657\n35415 43316\n29355 35799\n4311 25755\n24500 40166\n27953 39926\n22842 24848\n39679 43683\n8056 29813\n25423 47764\n1014 18997\n4126 35231\n10667 41371\n25727 32636\n888 24313\n5684 42484\n3191 28936\n9310 39879\n27396 43775\n17440 32736\n4226 12811\n30731 37294\n1255 26547\n11880 17787\n24126 48436\n21941 29443\n4501 16695\n5936 48020\n24036 44854\n38823 41770\n7678 11278\n1020 17135\n3084 44793\n39289 44764\n6733 31521\n36549 38885\n4611 12484\n9641 25680\n11012 39750\n8356 46271\n24261 36621\n5116 25103\n31788 42245\n39361 45170\n10847 22838\n17344 22609\n14859 18778\n5975 21704\n543 3577\n6396 6692\n21649 25270\n29298 36956\n20837 41438\n3203 19399\n3386 39178\n14007 41046\n8060 15530\n27297 46696\n20213 40022\n46518 47060\n11446 45689\n21923 29109\n11353 13398\n10616 42003\n31293 45925\n5096 36749\n164 30987\n14481 32748\n9720 29103\n22070 41684\n12167 46693\n17544 20066\n20655 27101\n31501 32462\n27296 36877\n1447 35489\n13552 32107\n347 8520\n18166 22921\n15616 47127\n10438 39745\n8253 40561\n27444 43515\n20344 34278\n15358 16976\n3370 44938\n10802 35777\n9015 47680\n20018 36295\n23537 33698\n20213 31005\n16418 21175\n11604 41584\n4835 35328\n39933 42760\n21808 44185\n10447 17650\n28239 36017\n42691 42837\n36081 45656\n14310 42148\n586 12518\n33815 44639\n132 36738\n15097 41534\n18617 45138\n16431 42763\n17388 22779\n36189 41081\n24136 31883\n18881 21117\n10841 16418\n3397 13290\n1062 41023\n1695 24186\n16571 18394\n13503 39248\n9211 30395\n12084 15501\n35792 43286\n8776 34663\n26908 38206\n15207 35285\n7157 32273\n30326 38677\n18371 31299\n25348 42723\n30025 46026\n7401 10137\n3858 46406\n7732 45298\n13815 41774\n31299 45682\n23563 40416\n15335 39673\n2581 35591\n13613 34052\n589 23504\n407 21973\n3184 32960\n27097 37003\n27940 28680\n4702 9237\n20315 37237\n12748 32896\n13246 15809\n2658 13896\n9126 23584\n3546 39040\n8005 39278\n11934 16862\n6764 42267\n1258 23620\n31066 33578\n22112 28719\n10385 20247\n12158 25493\n13505 43861\n9241 40980\n24907 37972\n25525 43602\n5838 44693\n9189 42445\n11522 43665\n24915 37689\n21698 34940\n17923 25362\n6612 46160\n13307 45090\n4562 38077\n19256 32566\n4764 45813\n7634 20151\n14218 30511\n13160 18425\n9643 19725\n12554 39180\n9418 44188\n33689 44472\n33740 34559\n23016 29773\n3277 16793\n10631 27572\n18342 32374\n5289 22866\n16376 36797\n24894 35962\n39284 47969\n14132 31147\n5160 34102\n12462 30348\n11107 20521\n18532 41474\n14834 18619\n33386 35007\n37859 38490\n9027 46696\n19725 46502\n890 10690\n34592 39424\n31510 32722\n6927 33348\n27217 37038\n28432 44375\n2827 39351\n44399 44942\n18547 42588\n18936 42903\n2396 48677\n3445 28923\n6634 15073\n27577 31450\n10858 37447\n15469 18380\n30260 38859\n29307 36494\n22838 31346\n4251 22584\n23548 44338\n14530 20754\n5548 48354\n16156 43136\n19148 39356\n3801 27587\n23329 45020\n9859 45746\n18734 20352\n8919 27206\n7123 43569\n22479 41090\n31062 46963\n10419 35072\n20140 21715\n9777 16500\n22685 45072\n11887 22250\n12729 25572\n9981 38233\n22504 22840\n30189 47769\n28798 39073\n27538 48420\n10479 20339\n5218 23542\n568 27570\n23843 45588\n13193 45347\n14917 43002\n11030 20832\n2539 25399\n35128 44566\n21146 34580\n18604 38808\n15584 42461\n11551 13175\n25459 40078\n2164 6669\n37465 39402\n33114 47178\n14441 29060\n3188 4258\n17057 38979\n15860 23197\n28884 29159\n12640 48398\n23390 43330\n16048 47518\n433 7537\n30864 47232\n6844 44161\n35316 37699\n28651 41961\n1444 36341\n723 10148\n2244 23791\n32292 48105\n10248 21931\n15320 45577\n10147 19888\n20274 44239\n12879 45745\n6843 26376\n14519 16028\n45689 48203\n9947 16948\n3101 33547\n20248 31659\n9953 20678\n15972 43533\n4805 40111\n26976 40780\n12659 12854\n20185 38673\n16580 39554\n6763 29315\n2013 14024\n7942 34608\n33968 42260\n10682 40983\n23638 39155\n33259 46232\n27771 41317\n12562 32004\n33680 40737\n18355 42873\n3678 28394\n32897 47283\n10434 17227\n36888 46683\n44261 47613\n16325 26335\n7933 10407\n38301 48606\n10704 34008\n1356 6235\n23866 37204\n23700 25496\n5935 47978\n30160 31823\n8254 26124\n24470 36978\n17743 38578\n17193 31928\n27274 29729\n11579 46511\n3617 22160\n1147 32521\n2975 11674\n3274 45498\n4641 4660\n15963 20261\n21495 45336\n14574 45032\n19770 35330\n6354 16514\n6525 21999\n967 1815\n39933 47392\n26493 29954\n3028 22783\n32562 44588\n2157 26181\n8482 15476\n9284 35283\n6281 34991\n6844 35696\n3487 17970\n17399 36231\n16615 42345\n7521 9604\n13289 29262\n35485 47414\n43961 44730\n26169 26624\n4951 40369\n127 38325\n12609 23855\n10224 44949\n11837 37630\n6076 17984\n27802 46591\n3907 22574\n3117 41452\n15073 32387\n3188 10603\n25471 38467\n15225 36575\n5899 45009\n9130 14193\n4404 39866\n16925 24632\n1419 42796\n19748 40826\n43014 46123\n15703 19661\n39385 45602\n10649 17146\n19240 29032\n4016 10815\n14430 21494\n40094 46211\n10419 46726\n19867 30145\n13480 19033\n25588 47447\n11212 39884\n97 43953\n6271 24905\n18204 48645\n11023 11410\n16195 33554\n10123 47326\n10129 21594\n9528 46241\n11057 28291\n22541 35803\n9212 24570\n38118 42797\n2314 10480\n27263 35774\n6952 17107\n829 25050\n18388 24527\n12750 44280\n9744 22944\n15470 43884\n6900 33310\n9187 22888\n23432 28458\n27121 41199\n1480 11688\n16684 20589\n16661 45116\n6784 10850\n718 4374\n6284 45461\n28689 36393\n6536 46085\n34330 37385\n2325 42390\n8792 22164\n6491 27073\n1217 46648\n24678 27384\n27173 37470\n17562 39931\n22452 46446\n31219 45680\n18437 41134\n5656 13437\n2301 42809\n9059 20419\n32492 40282\n13305 15574\n26617 28507\n23320 31173\n5111 13280\n29946 47512\n19938 39536\n11262 24437\n18565 32866\n6912 19769\n36923 37179\n31016 34196\n13234 38489\n38156 46263\n10471 14510\n7907 40125\n4903 36876\n3588 16682\n15186 47560\n19338 26017\n29036 45507\n31087 43764\n8513 37676\n6785 25266\n15373 18778\n9731 39594\n4301 29556\n4089 45731\n1754 15101\n21100 22570\n2885 6331\n19947 41319\n3634 34373\n155 20261\n30685 42784\n19870 31901\n27906 41986\n20639 26008\n1326 32744\n8231 33512\n12313 25572\n15770 43285\n8718 43332\n2353 34964\n8926 26760\n14138 28935\n12524 26187\n23019 47836\n42932 44561\n21275 25043\n26337 41990\n1122 35194\n36294 45037\n12157 39672\n574 43583\n21911 27169\n10093 34624\n23819 31755\n14675 17791\n33816 41209\n11933 16071\n17325 43807\n40541 42842\n21966 24872\n17594 37315\n7514 14989\n36096 47844\n14320 20733\n25305 44125\n8363 36512\n6553 42574\n37541 42209\n37503 45197\n11393 35131\n16351 40638\n19233 48530\n4502 37684\n34651 46291\n16548 30268\n40397 45546\n11350 38854\n36091 47070\n22017 25570\n37390 47587\n152 2436\n47235 48534\n380 7979\n4913 9098\n5588 9040\n8700 29544\n30341 31029\n20031 34987\n21346 48133\n24559 34733\n20810 41206\n3614 39891\n1361 41982\n61 987\n16463 19137\n12721 45090\n12014 46223\n1262 23777\n27935 47568\n28563 33548\n6941 28641\n37666 46111\n35903 43486\n10885 17133\n34321 38288\n33095 40787\n14738 28892\n20711 42892\n7264 12990\n15280 21118\n25514 28734\n18568 42465\n8253 19666\n5560 26831\n17085 33966\n20665 21155\n35679 37705\n25487 46004\n26580 28645\n34495 42232\n3064 12107\n17095 27736\n22060 24957\n12526 26880\n5573 18547\n32818 46897\n9393 14895\n8546 14226\n171 19013\n37292 41850\n26831 36258\n24286 29666\n5184 28704\n12922 28227\n14569 29743\n29564 32250\n16990 34702\n5452 19511\n26075 44404\n20130 29301\n25096 34925\n4290 12650\n26518 35923\n28211 44605\n6501 41214\n15106 31027\n3158 35756\n34637 37852\n27375 33302\n6814 27239\n39201 46469\n1479 14154\n8783 47139\n24402 34918\n30434 42316\n19653 20247\n7814 48610\n4481 9881\n433 45258\n18323 39161\n8637 10760\n28465 33752\n17732 32915\n2522 5549\n37058 46378\n16275 36893\n22699 29565\n40187 42569\n16315 33240\n7559 18479\n16364 28844\n3892 35334\n15332 31969\n40326 44207\n8742 28241\n16268 45731\n18611 30960\n35146 39681\n8744 26129\n748 16749\n20577 34352\n8447 30273\n22617 26366\n9428 26440\n14397 17801\n12096 44833\n17868 29143\n9896 38835\n11230 22554\n6106 47836\n7237 28509\n17471 30764\n2732 48012\n9447 15315\n3495 13977\n14157 23490\n4337 5679\n159 9232\n29398 30139\n5164 46885\n18065 41960\n830 12120\n15359 24513\n2771 25160\n33737 48460\n2228 21365\n14352 18945\n31139 47651\n4020 45951\n7753 19378\n19511 43707\n3703 37232\n24397 26476\n30029 42362\n3696 7341\n4640 44075\n19307 47223\n867 39956\n547 45108\n1219 38329\n12297 34099\n5147 18897\n28558 45940\n36422 42051\n19651 41983\n2978 19325\n28265 42624\n11216 37233\n12292 20592\n14395 40492\n6607 28522\n304 25636\n7576 39277\n30462 35379\n30696 37825\n19506 33452\n4304 17770\n663 7683\n36557 45092\n21172 36683\n5307 34247\n10397 20948\n15315 20095\n3680 42090\n9525 22977\n14389 20981\n13797 21297\n2352 11569\n1340 10998\n22090 27445\n17310 39528\n22801 45196\n1583 15011\n8819 14738\n18424 27297\n28315 43921\n37155 42875\n4309 10122\n11531 40529\n496 6898\n8056 44330\n25626 46107\n36384 48420\n19261 29544\n20815 30534\n7352 45651\n10039 20923\n22517 25110\n4524 21179\n823 17024\n40468 44256\n8440 17938\n22835 41178\n589 11154\n3193 37691\n25683 39773\n4730 18265\n10079 31599\n27125 47932\n504 29627\n28831 47181\n27095 46459\n5677 6536\n11439 25324\n19449 43001\n20726 43046\n11490 17537\n8520 36353\n18576 19983\n2361 25038\n6488 44427\n9023 20511\n33704 40594\n36726 48537\n19598 28421\n44684 48539\n6285 40612\n16219 45399\n10235 36841\n18177 37134\n37978 40631\n35228 45686\n43849 44785\n29538 46331\n5157 28001\n12789 16785\n1590 41060\n21918 45765\n10308 41574\n322 23638\n1236 19361\n10823 46115\n7021 33983\n30532 48633\n6586 40017\n17575 47403\n9579 15982\n8003 18568\n8014 19901\n20559 22608\n854 42545\n6549 17806\n3573 8093\n29174 38172\n35132 41292\n23805 24594\n31031 43781\n29533 47640\n17646 27951\n1199 26754\n5637 30799\n35799 43634\n1747 37641\n41013 48073\n9953 42181\n23658 27998\n6043 37353\n29447 35315\n14955 31999\n3384 13509\n27976 39826\n10423 45350\n8202 17382\n8350 18921\n17224 44245\n45309 45917\n6673 35656\n10829 35466\n19519 21115\n5575 31622\n4080 44195\n28352 40593\n12764 43864\n12530 46621\n42628 42675\n22657 36085\n24832 29606\n29095 31013\n7951 47996\n15011 34945\n5652 43630\n17759 25552\n1840 28983\n24481 40283\n3142 28633\n2596 16458\n5764 32360\n25078 35755\n35298 46681\n21501 27445\n32373 41268\n10106 21712\n22968 40143\n8415 17734\n18117 25342\n5226 47633\n4380 25439\n21416 25298\n37841 39174\n27525 46294\n7263 41480\n18543 28734\n3679 26113\n11325 26713\n18244 30615\n31357 35819\n16760 32510\n14360 40016\n17666 32016\n9374 23052\n7655 22991\n4119 28843\n24471 45828\n10395 43061\n16763 24671\n9963 15876\n20504 40806\n525 8794\n10046 38613\n12145 15558\n8021 47182\n13718 20872\n37767 39393\n24809 28736\n12427 16230\n31384 35181\n11827 47987\n3928 18589\n19158 43322\n5748 31009\n21890 23125\n9745 10719\n26121 42555\n27015 42029\n3259 7674\n5064 10790\n15163 39194\n27748 45408\n646 46295\n23000 30375\n10436 19570\n7673 22627\n5358 17312\n28183 32695\n4587 24623\n4561 26657\n27113 38791\n1424 41911\n22258 43097\n18042 34170\n12884 42197\n21044 25587\n7532 23639\n17224 33915\n45294 45958\n40213 47160\n8198 8726\n5570 22032\n1313 15866\n31892 42774\n1418 28796\n43017 45171\n3989 12432\n41771 48625\n10079 24852\n15789 39183\n24349 30273\n25034 34086\n9978 48016\n18320 39620\n40226 42285\n39099 44007\n4125 18883\n12092 33014\n32807 40422\n25009 32756\n36804 41503\n37897 40068\n39489 43871\n8869 13023\n17298 20012\n14194 37802\n9561 15337\n12141 17067\n11066 30027\n11420 26426\n28114 31106\n15988 24430\n11999 33371\n14299 45715\n13524 36388\n14144 41266\n3004 9887\n30803 48628\n9212 31869\n15750 47426\n30442 36410\n24183 34666\n39595 43207\n21350 36475\n7477 13914\n13835 42259\n2851 18589\n14495 47266\n23436 31001\n2962 23808\n4478 16487\n9925 14847\n3437 42595\n29248 42010\n32311 41200\n19419 44962\n17109 34554\n4983 13494\n13583 37978\n17274 42965\n4760 42491\n10167 46361\n32130 40960\n3566 25975\n20637 25795\n12369 38085\n5309 17672\n36008 45893\n36313 44237\n33547 43960\n19080 23877\n19798 23682\n9400 46472\n27165 43909\n12533 28363\n4526 27643\n10443 13105\n16155 48661\n24791 39034\n12240 39060\n30349 35444\n9709 10657\n7258 27670\n14114 35597\n17574 23282\n20969 36214\n9759 37944\n16443 48566\n18045 20634\n19442 23147\n29496 31413\n451 28615\n1350 25979\n10026 14170\n23928 45896\n1031 37007\n12739 48017\n30954 39832\n26860 27029\n30481 40097\n13403 29699\n45977 48061\n12627 36487\n37080 40393\n23608 38861\n1159 11347\n13763 23375\n12573 29411\n12866 19808\n22185 36077\n24176 34102\n12192 32091\n19433 43822\n1025 34847\n35197 41316\n11873 18104\n801 17729\n8812 21411\n18407 46080\n33978 35247\n9049 43119\n3810 39156\n21618 30826\n22479 36677\n6961 44665\n16617 19551\n2375 6165\n2098 45816\n5549 18040\n13198 46146\n23863 47536\n10527 15812\n2297 43339\n7280 48219\n17728 40387\n12381 24174\n7666 37322\n34752 47894\n6931 20363\n44372 47714\n28829 33980\n14275 22658\n19277 19929\n20217 42426\n14516 46346\n330 7487\n6695 21350\n5900 12219\n829 42623\n3797 29069\n36280 43625\n7948 10886\n43988 44134\n1363 10864\n1493 13635\n23062 44059\n17558 40539\n22472 39638\n4673 16994\n26894 47098\n20469 27914\n3959 22910\n34009 34374\n35099 44005\n6088 34751\n26249 32251\n28404 42183\n6769 40481\n22529 28406\n165 13714\n19850 32149\n15841 16879\n3565 47727\n9802 31088\n13093 33725\n24899 48319\n6694 15467\n12058 41311\n21897 39097\n9659 46921\n23037 23207\n6681 33397\n10442 47431\n457 45882\n38771 46977\n18247 29898\n1530 26663\n22280 37195\n24532 30420\n263 43558\n15434 17186\n2621 27416\n2415 40472\n15516 36805\n28216 46552\n30163 34554\n30344 40423\n14963 15743\n11127 39283\n18114 39105\n18377 28758\n10771 45945\n44159 45122\n5401 8369\n36516 43351\n42810 47168\n7619 28307\n5677 21431\n13075 42585\n5431 43355\n19939 39406\n18157 37027\n40522 40775\n1687 38801\n2156 18968\n510 34771\n14465 18632\n23854 29407\n8330 48577\n302 38916\n14560 39161\n15115 28706\n1448 20333\n29555 45476\n27574 32474\n41656 45934\n27372 48281\n14987 37059\n32733 42457\n12446 43289\n17451 18096\n16317 36783\n27112 36984\n25618 36180\n8418 24863\n11265 45376\n17890 29853\n4358 47438\n21074 22308\n21353 40062\n4504 43808\n34428 45705\n31517 39104\n14888 38968\n18090 21502\n2557 20918\n7799 13703\n31039 35712\n6562 41618\n19002 42024\n12819 18854\n16680 39712\n1208 27110\n18909 45399\n17916 24561\n8437 13518\n2012 19796\n27688 37292\n23331 47657\n6933 33385\n2716 3193\n11703 32622\n8428 21547\n21433 23588\n14402 21211\n4541 14641\n33679 34097\n24680 28963\n7013 34134\n42853 48204\n18888 24873\n7861 10788\n5411 27881\n4287 24246\n3626 38334\n30364 37754\n31416 45503\n45612 47803\n13554 44891\n878 18048\n6685 34447\n42501 47448\n16310 16595\n11411 18325\n3133 7750\n28281 47365\n3152 43612\n6801 20395\n9096 15711\n47512 47993\n13511 32318\n24923 44250\n24131 37394\n12344 25819\n716 8076\n4847 48572\n16441 37417\n11800 30907\n8374 26022\n9332 9489\n19445 41173\n944 1793\n22134 40323\n8090 37933\n18930 48146\n12667 19317\n12933 13424\n2606 10920\n28226 34389\n6902 40098\n266 12633\n12230 43930\n20730 42587\n10703 27206\n17054 36953\n27702 43421\n5980 27852\n8656 31087\n1228 34698\n9347 26349\n29403 37948\n1159 24100\n29403 40787\n46372 48519\n3365 27932\n19357 23328\n7736 34723\n1235 7353\n8298 44354\n15339 23506\n14465 18572\n30249 45835\n16716 43959\n15789 34154\n1859 21328\n18943 47513\n3793 21440\n2292 42965\n8424 10312\n15925 32150\n18983 25468\n17046 22405\n14585 31037\n40818 45645\n3500 43516\n2286 22042\n35025 36731\n17453 21424\n31739 34904\n22213 22661\n8979 14843\n3256 39646\n4879 8595\n156 34989\n11701 19438\n15200 46131\n5647 39584\n11069 41012\n10637 45259\n41491 45045\n14707 32845\n41005 43672\n6003 46154\n6823 40902\n33654 47603\n20804 34608\n13296 20921\n446 5645\n44831 46643\n15186 45046\n5752 34535\n2742 26110\n3763 37483\n6904 41605\n15948 19037\n2614 35365\n18550 45997\n3698 25009\n924 24778\n11778 27697\n21479 35544\n4289 18755\n16295 24040\n18626 21411\n14088 44123\n31180 46799\n17598 32430\n17099 21660\n5146 15622\n28310 43622\n7279 26039\n1599 16549\n26895 45732\n20632 44427\n5827 14769\n8478 19427\n6413 22080\n28145 48171\n18044 19337\n39676 43940\n29012 36742\n9250 43280\n18568 35162\n5773 23877\n12752 13967\n10482 37965\n19747 24298\n32798 38407\n16689 34743\n20191 41199\n7613 40113\n26449 39744\n12499 21139\n15467 45818\n9250 42974\n5342 47305\n10428 27743\n17177 38798\n5965 19868\n721 37626\n28225 45746\n1005 16971\n3244 40498\n4519 16555\n16674 29290\n10807 26725\n3206 46384\n4225 33376\n16312 48420\n32909 37589\n18806 32629\n16742 19002\n27982 44701\n5600 13393\n29888 36418\n18050 21734\n34233 42660\n34900 41774\n7422 27100\n24352 41616\n8090 33473\n12053 34069\n2623 4769\n1601 17909\n38144 48385\n11054 12935\n7873 29742\n43425 44064\n22600 32401\n18544 42794\n29898 36894\n12385 46293\n7742 26277\n24393 25319\n5646 22703\n30578 38015\n4528 27869\n5377 23425\n5440 47655\n6230 11015\n28521 39001\n17408 41162\n26844 27667\n1190 31661\n32311 48375\n10615 23509\n6041 46609\n18718 34603\n16419 21051\n14077 38292\n6566 28039\n28178 40084\n22676 42622\n12494 25337\n4171 47099\n16321 21865\n16448 17399\n1745 9869\n22635 46609\n35445 46366\n4080 22653\n33249 35899\n31750 43875\n3329 41714\n2652 3827\n18096 21810\n2822 3437\n7949 42726\n2199 33460\n15651 45246\n13041 34726\n11126 48510\n40324 44077\n3327 28414\n36944 42234\n13696 29202\n8837 18960\n11170 18345\n9428 31894\n15997 39571\n3970 33012\n12656 20712\n22517 22551\n426 15456\n19598 26740\n23678 41525\n21212 33284\n37044 38866\n5127 40817\n8721 47305\n25288 39790\n14753 16922\n5605 27006\n10108 13108\n19807 30379\n24534 32363\n10209 26148\n28430 47866\n32649 38789\n11716 48429\n8332 32787\n17317 25465\n25852 30577\n7688 34581\n40124 43122\n13314 17788\n29658 31493\n26367 31436\n23753 35538\n36070 37753\n5423 44538\n5359 38197\n15651 32776\n23204 44042\n503 30283\n11861 21494\n22119 39936\n14307 46670\n10766 43593\n16906 38446\n920 27702\n15352 24783\n11980 29230\n2265 16234\n7140 20109\n15316 20439\n6407 31371\n13337 18199\n20203 36721\n21747 46124\n26009 35569\n30735 47363\n29512 38273\n31179 38656\n9734 10774\n1178 10303\n1013 2611\n11883 18702\n21844 35891\n4081 15292\n18552 27935\n21263 26540\n2773 43110\n2304 35132\n4746 28015\n4122 38962\n30518 44641\n17276 46642\n15972 19339\n19758 47124\n749 21505\n24562 39722\n4329 15689\n2290 2402\n15659 27937\n19153 40192\n1202 1231\n34898 40366\n8958 37589\n1470 33139\n2298 41632\n33199 45425\n43444 47941\n27219 33526\n11050 18681\n23116 46794\n10255 47994\n25252 29820\n20149 29710\n1035 7198\n3366 21743\n20442 45503\n24968 39131\n867 12765\n10688 34204\n382 34747\n12728 14798\n11694 17350\n746 47619\n15951 39789\n38391 42102\n4289 40423\n32520 36946\n5693 28953\n6791 40777\n10500 36727\n28690 33590\n10311 13518\n18026 38488\n11643 43583\n12720 33981\n6087 29055\n4761 13697\n16000 28936\n33280 46430\n23786 35329\n7100 46690\n1778 22289\n13491 30837\n15466 16347\n24222 41182\n23269 43455\n17296 40402\n27998 40968\n1967 27226\n20852 25329\n23988 39504\n10944 42181\n11660 15629\n2495 26005\n15080 34259\n8842 43411\n13682 29876\n21980 44179\n2912 22027\n26605 48427\n798 31655\n28504 42681\n43909 46420\n15674 33363\n31705 40362\n15460 37473\n24068 31574\n10770 16808\n22802 27424\n11696 20129\n18896 47152\n15191 25224\n8552 43274\n8927 18728\n44860 45776\n39842 45405\n14846 16711\n13546 36031\n32351 39584\n32291 43158\n2760 27397\n150 28182\n12756 25806\n28207 42187\n3144 16467\n11774 14211\n11617 47256\n184 20309\n1715 18007\n8892 26325\n35651 43088\n8015 23236\n18992 45852\n17577 30093\n25450 41601\n1859 6792\n3794 16850\n3356 5619\n2816 35106\n18923 23592\n2835 42747\n18903 42548\n21652 38099\n3306 17418\n19396 20704\n28299 35597\n25660 42944\n4588 48105\n36058 47965\n1833 35820\n23089 25026\n23244 37229\n22175 27655\n18050 32120\n8785 33761\n1598 34140\n10715 20673\n24760 29648\n15465 25148\n19970 25961\n3692 14369\n3097 3407\n28432 32400\n4444 21587\n7935 42215\n21285 30589\n1833 25809\n27593 47980\n5984 35917\n16611 39010\n34958 38622\n2767 41760\n32941 42480\n11328 26750\n7653 15748\n17406 31112\n5872 33051\n28939 37537\n21846 27338\n8674 45984\n9154 28192\n33473 33871\n11681 42603\n3990 18869\n6681 44569\n21819 40543\n20581 45272\n15628 15875\n9481 31874\n31070 47815\n36925 38896\n7677 48168\n37064 40534\n7270 34575\n8612 46754\n3559 22720\n32759 34016\n16709 30930\n20583 42041\n33914 40137\n11503 13673\n44853 45383\n30196 44117\n19784 47316\n37232 40389\n16279 31798\n16904 27306\n12498 18275\n2294 43954\n23260 43828\n20116 23117\n20020 37293\n18988 25539\n2925 40701\n7847 35892\n12210 41482\n4362 40809\n26035 46909\n26094 46597\n34674 46027\n18180 36503\n16172 35430\n26156 39321\n12167 14733\n8644 16308\n22470 31825\n26373 40706\n23292 33756\n11688 28727\n9604 28672\n154 36760\n8319 16190\n5025 28062\n34985 35383\n16139 24000\n14958 29093\n22173 38025\n2120 31615\n17203 33312\n24394 27541\n26261 32583\n2531 21679\n3546 36792\n2539 8953\n43988 46245\n23260 41447\n11679 37542\n194 45506\n17564 19262\n14438 31182\n7634 18249\n5628 31508\n7026 25207\n2460 20843\n28168 48390\n11159 28695\n17792 36413\n15091 47827\n23322 30680\n13435 41838\n37541 38538\n27136 41174\n18635 34675\n13523 22353\n2300 16575\n6876 13629\n25126 42511\n9087 12700\n23408 27771\n37537 48244\n22458 35353\n28167 45099\n4660 42120\n16195 25868\n3433 12369\n1325 40542\n8356 35247\n19354 19629\n33220 36033\n11580 25783\n17952 21909\n39886 40502\n3577 20797\n23285 33274\n8568 10163\n19978 25917\n12164 28522\n5218 36788\n23946 41485\n6540 24338\n27921 40375\n7635 26807\n23384 45054\n24779 48416\n13175 37582\n4243 22758\n3 18404\n15461 16326\n9924 17350\n26668 30361\n25134 28711\n3485 45565\n25912 27915\n6511 11378\n2316 12010\n33663 47312\n6654 28483\n8488 45218\n35901 46438\n34362 35066\n25223 28784\n11718 41609\n22900 36098\n15398 34587\n10729 11128\n12860 35541\n27977 30363\n16649 34090\n10897 13319\n28509 32735\n37357 48316\n3255 27917\n9399 41469\n8140 44581\n11600 17341\n27785 42087\n33013 37026\n41083 44895\n16395 27885\n10346 41827\n5975 38454\n511 32743\n11740 25071\n30935 38021\n5571 44514\n40277 46478\n17453 27476\n26127 46541\n12099 16837\n31145 38816\n7941 14270\n106 24514\n20813 47848\n29934 46246\n7785 26891\n36798 42261\n16750 39844\n40883 44305\n9810 48171\n39723 45187\n5550 16878\n26625 42042\n2048 39728\n8704 47714\n19153 29459\n1999 46629\n32187 44773\n4041 10444\n21462 47233\n6025 45388\n12277 13262\n1365 3737\n35493 36952\n34523 37635\n7391 25228\n27214 37314\n6166 18083\n30004 42571\n32840 36307\n40932 47483\n5688 44851\n7974 44817\n6759 43199\n8738 32406\n197 28156\n14766 25973\n13674 37615\n14918 17403\n11991 30276\n2998 10047\n224 34028\n1279 22582\n7678 33919\n5523 46817\n11235 41888\n2589 21037\n2679 13267\n4362 29587\n40071 45771\n31168 45435\n25504 42612\n1228 42129\n4234 28534\n44010 47403\n11122 22304\n27975 32150\n17257 22504\n11991 38134\n19998 42018\n7103 40109\n2477 24892\n2698 24880\n553 21023\n23109 30797\n25214 31317\n10141 29992\n11065 34321\n16259 38729\n11103 24050\n11048 36043\n827 17036\n2081 46047\n35200 48320\n12644 34979\n15918 34330\n26657 44551\n3773 38764\n4182 5249\n29119 37148\n4424 8722\n11522 40054\n4680 20263\n17879 33773\n6029 36847\n41081 43396\n39820 44724\n4721 32241\n26018 32093\n4453 16561\n10023 44741\n24827 44758\n19262 41175\n7447 21210\n5092 17656\n14877 22350\n46289 47010\n19736 38794\n6545 25448\n24496 27564\n6910 29522\n27660 36228\n8897 19245\n11305 27469\n1709 4926\n11711 34827\n20838 32526\n22237 46886\n19586 30031\n38217 47873\n29551 32602\n13775 42276\n7848 16408\n7862 23835\n3977 30981\n21399 25414\n17625 25950\n30794 31207\n14677 41541\n20397 32587\n26034 46337\n1011 22088\n7478 30185\n24951 26443\n27557 47781\n14302 20928\n14303 45889\n3709 37967\n37871 38665\n24822 30885\n12456 19376\n39019 47244\n23386 47841\n12540 44386\n17835 45895\n3540 31016\n12463 47143\n31237 47241\n7529 8993\n27014 27821\n7111 19021\n4482 5775\n2278 21093\n30954 37077\n5157 23009\n27694 35133\n42473 45413\n9454 20610\n12635 43142\n14093 20775\n2920 41272\n1235 28373\n24268 33420\n20268 44396\n23312 38971\n32487 32835\n25179 26939\n9941 30913\n17679 47400\n5844 32433\n20888 44066\n30498 31886\n30492 34134\n20717 35890\n7399 26712\n1268 37948\n8196 19866\n23416 28614\n170 17198\n10836 13334\n1604 34284\n14146 20045\n25365 35350\n11328 34440\n1574 23863\n4975 30878\n28800 32238\n33145 43406\n20425 46424\n34752 38710\n2221 38272\n21218 29805\n3435 21894\n1148 25665\n23440 35607\n10038 11852\n444 45409\n16200 47894\n1696 46145\n5805 25546\n19468 43949\n4239 4898\n8333 17066\n9595 10937\n17273 28727\n25044 40428\n45768 48513\n22853 35980\n43567 47462\n10713 34336\n28147 41146\n12442 40718\n4080 35184\n21193 30015\n11570 16510\n11677 31996\n15647 42485\n328 6398\n14152 37742\n26245 28946\n22448 48350\n14144 24129\n806 40127\n12646 39834\n27992 31908\n26124 33818\n1204 16737\n8685 46686\n392 30087\n30100 33482\n4503 44575\n33623 34779\n38750 43756\n25308 37030\n658 37053\n23697 25784\n44221 48674\n26472 33478\n14775 21638\n1118 21175\n19063 46052\n3590 32538\n20047 24678\n1718 28079\n18816 31233\n26623 36556\n6735 31324\n9494 43013\n1504 11853\n20961 24962\n3326 12026\n4592 44734\n36807 41689\n12128 47510\n15949 20678\n18011 30405\n18178 48424\n10655 23367\n10894 28903\n22766 37567\n40980 44183\n4363 21793\n7235 31644\n35693 47544\n36736 42642\n4607 17547\n30371 31132\n14366 33828\n41308 47554\n21230 36657\n17548 18212\n28842 45104\n13841 38932\n94 7424\n42619 46600\n8322 17541\n14693 26604\n8290 19720\n8352 40840\n25531 35963\n6481 11322\n24623 31428\n25472 28513\n27072 46473\n3688 43868\n14640 37033\n10435 42075\n2091 19044\n11286 15936\n18752 30149\n22515 25084\n21655 26660\n4565 23154\n21189 37146\n2276 31097\n42884 46187\n13728 47747\n26920 47700\n7531 13121\n448 33053\n3947 37019\n4352 4560\n17322 32594\n31106 46912\n27036 27278\n35224 45337\n39235 46073\n1245 38356\n9511 36851\n18829 29576\n20706 20985\n12372 48159\n28173 37812\n22120 23810\n7400 40308\n4579 31776\n43857 43935\n652 6610\n11810 22389\n41951 48629\n35945 40055\n39439 44165\n1595 27462\n2182 25627\n8004 11030\n25008 45833\n8622 37640\n24778 29372\n1681 21557\n30882 33034\n27753 43018\n19661 31838\n546 5165\n10341 44178\n2782 10074\n34145 46101\n10966 27603\n5388 7335\n31872 39833\n34847 45729\n1289 12865\n2160 37933\n25564 45189\n22555 39603\n4257 18209\n37903 46799\n10593 14691\n8290 43048\n42588 43385\n6569 35477\n13616 34762\n327 4740\n9163 12238\n2709 6615\n29742 30512\n9617 28528\n12355 45304\n13982 14055\n16800 21282\n17179 45080\n5389 46002\n969 17133\n26945 46800\n18902 22620\n4730 37859\n15925 34573\n10647 30060\n33635 35007\n22140 36839\n36682 39040\n20161 43133\n14173 43819\n17996 44400\n4312 14339\n33299 39555\n1643 23911\n36773 46631\n2436 28801\n12960 19409\n9683 11538\n541 44202\n549 31736\n23526 36889\n32468 33767\n3994 38221\n28126 45529\n17985 24384\n13476 22456\n37826 40810\n12499 44018\n35795 38301\n15771 20324\n2816 25654\n18037 23957\n12219 48471\n11224 25448\n6859 33198\n3638 23612\n24692 33934\n21349 39262\n8416 17874\n8364 47818\n17353 36264\n11608 22975\n2537 27653\n17802 32213\n2571 28671\n33388 41366\n9388 12559\n350 35858\n7612 40602\n4611 11854\n33242 44911\n32772 47490\n20126 47636\n42306 48065\n30657 34356\n8041 14613\n30015 37647\n17247 30219\n14541 23498\n8212 43920\n24012 40432\n15486 43478\n22594 32151\n27549 34499\n16349 33538\n2017 20762\n36562 42138\n1680 7172\n20433 35877\n33494 48040\n5943 31766\n576 37886\n33233 35946\n3195 32735\n8479 16741\n5150 35556\n21783 25457\n2050 44222\n23893 25718\n16825 44610\n5230 35990\n16105 43062\n32139 44231\n14708 39451\n42419 46266\n567 15870\n1193 42958\n13060 39911\n21343 31523\n11641 21208\n9532 23364\n37096 47280\n22576 42810\n2066 24784\n9514 43294\n11037 18797\n43580 44242\n6876 20397\n10034 30084\n10281 16136\n11517 24946\n18002 29246\n3744 8687\n21961 44183\n22427 33985\n29920 34454\n9194 13381\n7166 19181\n12986 21183\n25494 29663\n33369 37174\n6054 23841\n4662 19432\n6373 8108\n17397 25482\n11497 21035\n1108 21483\n5974 36119\n23471 31815\n11116 17115\n5957 35518\n5262 32426\n60 38528\n17111 24262\n28592 43111\n20696 27132\n16795 32645\n45856 48240\n8031 29086\n43363 48530\n14327 47402\n2783 44440\n980 17459\n10493 41536\n19277 47960\n28489 32607\n38992 39956\n35470 47230\n19580 47166\n18712 27630\n26548 32255\n151 46229\n9627 9693\n31233 47596\n10325 43913\n31913 32939\n1226 36667\n21049 39172\n12529 25171\n7666 36347\n12872 39506\n12790 37282\n36344 40236\n4372 4753\n18498 40750\n11758 14232\n18370 46901\n15311 18817\n15411 47547\n19501 47807\n29240 36447\n26755 33248\n8696 12976\n12297 23840\n33814 34337\n7451 29024\n36926 38680\n40016 47049\n24477 42919\n16843 18767\n39286 45967\n33347 43929\n12231 40898\n12797 45981\n3686 36010\n6753 22628\n32425 40768\n30616 38373\n14242 24841\n2646 24626\n12315 38063\n613 15392\n3454 14655\n42396 48104\n17670 27802\n26210 41698\n39210 44169\n21123 41941\n11994 13504\n21819 40444\n26161 38435\n5268 15677\n531 25079\n6796 20056\n16833 40614\n20122 22868\n17667 48480\n35022 38636\n10351 29563\n18818 38080\n27014 37568\n31099 36865\n38300 41626\n33948 45744\n28249 32148\n15202 24164\n2684 4251\n1144 5260\n8681 30849\n23177 36181\n6397 17748\n5917 33936\n1821 24097\n22257 36736\n8282 46595\n4071 24495\n27899 42232\n24011 30462\n3162 3973\n36103 47370\n18676 33166\n20625 27537\n18999 37486\n571 29360\n9112 11354\n29163 36170\n44747 44844\n9111 43516\n11936 19998\n5660 16746\n18644 20791\n949 20468\n17635 42177\n12176 14068\n26679 46568\n19311 38417\n24181 30655\n33310 44892\n943 46581\n40844 47670\n99 45388\n13382 38112\n1018 47524\n526 21370\n12183 17275\n3752 14946\n41689 44727\n13055 19571\n35703 42968\n18982 47317\n7256 29931\n36123 45567\n4359 11816\n1397 22491\n9940 10039\n10057 31248\n4678 40394\n1391 8883\n13449 37827\n13348 26324\n11610 31635\n20330 42939\n10156 16237\n26413 43222\n3870 30143\n7766 29427\n39490 48465\n945 22222\n19350 22352\n5742 18714\n7887 24648\n1470 35337\n13967 38996\n24680 42630\n10141 16323\n607 39630\n19713 42542\n15942 45853\n18542 35950\n16356 40693\n44782 48029\n21376 21526\n12081 34479\n17508 28224\n11073 46653\n35646 45147\n11549 44699\n25516 45612\n25723 32359\n23258 31341\n897 48227\n35124 35478\n12833 26278\n38174 48517\n27581 37734\n2916 33790\n17720 47920\n20608 30007\n3894 41743\n15336 32910\n5437 10383\n5627 47684\n22431 24040\n21597 31663\n11566 32947\n5553 47757\n6179 28430\n12675 17522\n5167 30222\n7914 20645\n4279 20216\n10102 43469\n27369 41086\n27927 36275\n5188 15714\n8228 43491\n9271 13169\n24818 28130\n3953 30027\n4948 27117\n20561 34836\n8355 16941\n11766 34871\n14923 24590\n6120 19710\n12109 44873\n24210 39467\n44629 46355\n27615 30561\n4044 12235\n9144 19566\n19254 36655\n10147 28915\n41175 45541\n12826 41867\n15956 25915\n8999 26354\n232 1033\n7443 19684\n10949 41536\n4627 10576\n29930 44940\n2664 37347\n20539 30066\n29761 45913\n42596 44734\n18104 46974\n3655 37472\n4409 43664\n29084 32119\n4756 45575\n17476 39569\n6495 8652\n5929 18913\n4666 38732\n17558 21704\n4064 19350\n2390 10267\n3567 26505\n5647 12163\n8357 37422\n6831 41185\n21167 41183\n1661 45326\n3625 8595\n24643 29357\n41921 44603\n36292 42268\n3623 37649\n31413 36591\n3371 39160\n3011 19542\n22145 40023\n4693 25168\n25366 44464\n17785 24277\n2030 23716\n9603 43718\n36397 36521\n22042 23672\n24412 36086\n11649 21651\n5125 41923\n24718 41777\n39554 45894\n38290 43812\n11578 47073\n6100 22677\n16766 35233\n60 20771\n24694 32626\n10762 47163\n19657 40271\n13291 33398\n37786 41578\n645 12870\n5549 9862\n3945 39742\n33855 37954\n16459 42826\n13111 31316\n24147 38048\n7012 10355\n4143 21478\n17890 30509\n24414 41835\n12649 19087\n14011 36570\n16886 40959\n5297 43520\n9845 35503\n9028 38557\n10555 42114\n26031 28490\n3428 3655\n16194 34021\n3671 32826\n19777 42558\n31785 33156\n20875 40898\n23471 48664\n42276 48366\n12407 46917\n12049 46341\n15939 20844\n21972 34006\n8762 18076\n25766 37149\n5124 25593\n6082 21942\n3467 21087\n23703 29614\n11025 13285\n7826 41916\n30360 33421\n8279 36879\n36628 38573\n42207 46861\n39286 42557\n15855 32448\n1363 12169\n666 29946\n1942 12029\n11542 19232\n14990 22302\n33112 35965\n11971 39788\n3671 8807\n21268 38265\n13492 45750\n16014 35615\n18895 37848\n13739 30254\n15451 35731\n8173 22475\n25907 26420\n15169 16081\n36346 40279\n15888 38962\n341 18823\n26292 30506\n22842 25045\n5476 32778\n8801 30361\n15045 46466\n12697 32622\n11019 28226\n5842 10986\n4286 47266\n17790 34721\n14914 25447\n731 48581\n11457 41782\n8379 33436\n10148 11067\n32629 40607\n57 46471\n6901 13621\n29101 38866\n1581 40493\n33610 48642\n44993 47523\n25941 47241\n12998 37201\n6512 32256\n12183 34678\n4977 13173\n5216 9193\n21194 47541\n38040 45700\n16623 34211\n13451 36010\n2997 20919\n40242 44390\n14837 19006\n25340 38641\n881 3754\n43191 48524\n8463 16429\n33327 42731\n11890 31171\n2911 39805\n13189 34904\n36946 40445\n16077 41284\n20686 44746\n23978 34148\n648 9974\n36808 36823\n14062 30030\n7679 39016\n32622 35008\n10096 30419\n5069 46293\n22949 40682\n25293 28028\n34332 35504\n14585 32441\n18189 18642\n3485 13268\n9411 29299\n2235 35683\n12872 35028\n18124 26626\n13482 25959\n2321 30816\n27545 37264\n7143 41659\n30206 35353\n1807 11535\n6150 30481\n308 542\n28442 32464\n8240 38350\n6426 34796\n1291 37832\n39464 48668\n32468 45173\n926 1408\n2200 32152\n7612 12364\n14659 32305\n14846 43293\n27567 41990\n2557 7168\n25508 38064\n1682 36330\n31137 43308\n16659 27340\n3059 17808\n13190 16441\n13193 36682\n30822 44652\n14899 40057\n19765 39941\n3124 17678\n8212 43059\n15692 37741\n38193 48456\n26916 41890\n1213 19245\n27599 34694\n24309 33204\n19580 19853\n842 26401\n24980 30802\n27031 34501\n26397 44429\n8950 9248\n45248 47813\n22754 24688\n42399 45475\n28456 43180\n12988 26773\n6212 35179\n1080 35102\n8004 40647\n12417 17678\n37346 40141\n4580 32876\n19050 28550\n9733 16776\n30817 43062\n9467 37455\n9055 45902\n24516 48511\n27826 30016\n27485 33758\n24625 27678\n12517 27470\n16572 44666\n5337 16614\n10623 48609\n17791 21494\n19676 31312\n22311 32175\n15309 44415\n5918 20510\n18643 21883\n41133 45256\n16311 36100\n8579 35022\n35629 47449\n13473 39299\n8533 10876\n23795 35983\n18554 33036\n15263 27108\n12575 24272\n20336 30666\n27167 37175\n21753 44408\n14974 47764\n537 35501\n577 45055\n35386 37817\n32348 46063\n9959 46830\n1239 6126\n17200 44120\n22837 24925\n12730 40169\n36752 39906\n43790 47790\n46261 47879\n18616 39247\n31399 42078\n28194 47755\n14020 40777\n17458 24702\n18910 33371\n9364 40307\n19911 47450\n17474 24243\n15066 20965\n6927 12796\n1677 46470\n14842 30269\n14671 19361\n11030 34135\n40676 45572\n11769 35168\n6758 15704\n27054 46917\n21545 28924\n14473 48045\n35979 46073\n28158 32330\n28326 48137\n7394 31104\n27525 43904\n13436 38372\n1876 31726\n21847 40939\n10514 24806\n3923 39871\n8252 15257\n7207 45263\n22926 29667\n14968 34525\n40260 48167\n28939 38719\n15537 47770\n13356 44772\n13516 17005\n34727 38976\n29603 45220\n33454 37501\n1947 12892\n11114 13888\n6893 12172\n30035 40547\n7681 14370\n12927 23476\n7979 35165\n33841 42200\n1622 21212\n10581 35156\n27878 40436\n44171 45287\n19614 28890\n12861 44337\n3356 39259\n29901 40918\n11460 30831\n22435 29324\n20189 32052\n10977 39014\n2516 47770\n12063 17049\n12182 36347\n6792 13233\n4744 24050\n38287 42936\n4931 24744\n2336 30142\n5642 29665\n27094 28731\n3546 31127\n28708 32601\n11725 27352\n22255 36532\n25010 26397\n317 37158\n32896 43954\n912 7362\n2604 45539\n37506 42376\n28855 34926\n2635 40170\n44761 47554\n15601 44660\n13397 33736\n4956 20956\n26701 34462\n1420 17306\n20750 31150\n33538 48445\n15148 20486\n13771 41427\n16292 28928\n6643 24724\n3802 26539\n30443 46208\n4574 47270\n12601 20863\n14122 24582\n20299 21043\n38763 44568\n15678 44560\n2846 12120\n48117 48214\n18680 43147\n6659 43185\n5371 47026\n14419 39223\n2348 41392\n17034 24829\n43272 46264\n1746 32779\n16587 22567\n18188 24996\n18433 22884\n327 18726\n35323 39122\n1846 2018\n18209 33394\n33901 46137\n26197 44451\n16129 27519\n22833 39946\n30223 41532\n18379 45816\n18926 19666\n17961 33080\n21283 31857\n29479 38688\n11263 26194\n17046 18899\n15712 17310\n7777 22612\n25624 42666\n6997 17350\n36729 42987\n31021 37138\n42505 45990\n24765 38761\n27348 40468\n2267 35217\n986 16253\n33955 47510\n8860 27077\n19105 27036\n32375 48660\n13388 42390\n30191 36053\n40323 43717\n14901 32771\n5649 10423\n28611 30992\n22811 24626\n36892 37039\n17693 48549\n25520 39038\n23693 26455\n2734 16892\n14527 41741\n20969 25701\n21702 29899\n11805 33817\n17759 28398\n7338 13208\n4272 24469\n6492 14849\n4390 35464\n30741 38861\n9165 46738\n26188 30548\n32854 34594\n30146 48646\n31801 38472\n3142 35724\n17593 30154\n35490 44452\n2207 42699\n27420 43006\n6076 15933\n22293 46133\n10255 34148\n28113 43541\n20637 23117\n6391 44629\n20427 21052\n12048 23621\n12744 47345\n15989 29400\n6897 48073\n23273 45495\n9813 29070\n22140 28905\n2285 36659\n13520 41938\n10044 14928\n11333 27198\n11935 42774\n9047 33702\n24026 31044\n5799 18722\n3806 46153\n23555 35466\n33705 43553\n4104 44273\n2068 15593\n31012 37507\n20526 31182\n381 10069\n16545 19390\n1482 38416\n9940 36318\n13113 25659\n5916 40924\n26474 42532\n12406 38007\n21856 32613\n14854 28544\n17924 30106\n11808 28629\n18210 44127\n31193 38744\n7890 43583\n21781 45568\n30182 33339\n23644 25639\n21597 32592\n13112 37851\n28519 36340\n3792 26909\n7057 15465\n23318 27829\n5459 16554\n42140 47114\n16888 32579\n2980 39105\n11953 19252\n8463 16985\n13603 27233\n43051 48453\n10458 36718\n17810 39443\n20800 31337\n17641 40419\n490 36139\n6543 45661\n23496 46382\n22532 45299\n38282 42180\n17969 47007\n16520 33940\n1573 21723\n26971 28132\n2907 41467\n9649 11586\n33842 40864\n33926 39227\n31000 32779\n13130 38546\n3862 33960\n28629 29718\n39710 42802\n27087 42766\n31650 45297\n1813 25996\n26296 32748\n3356 31451\n20424 45806\n6633 42938\n22190 43525\n20221 23810\n10245 35859\n3487 30290\n18263 33759\n18433 21530\n26745 45062\n18580 34570\n150 35746\n15333 42473\n27259 33574\n48585 48614\n1868 19422\n8012 47409\n13851 36943\n18943 28558\n295 621\n8078 23031\n17228 42046\n7186 35038\n6410 28040\n20480 48128\n17458 40470\n24526 41108\n35678 40370\n10311 10647\n3577 46498\n6156 33129\n6494 42135\n15902 18370\n2080 20267\n3049 39793\n30638 41923\n39755 47343\n5396 28499\n11672 20260\n5307 10339\n17389 43896\n1067 20218\n7586 36329\n6251 36300\n980 20865\n16394 31962\n12950 26517\n13846 23699\n24432 42970\n35748 41477\n25649 35354\n17986 29931\n7479 29696\n719 18970\n22359 42419\n21899 38817\n9397 44528\n1509 14031\n10089 12037\n6717 12345\n43333 46848\n8585 14684\n20064 41618\n26630 47783\n13657 43775\n13315 33797\n20694 47176\n28403 43468\n18035 35733\n39358 46790\n29497 42621\n39753 42607\n31001 35939\n3546 14115\n8488 20928\n8244 29552\n9224 12035\n19851 39225\n2949 31376\n25923 28235\n33522 39274\n20250 34153\n19014 26784\n3891 20773\n3434 10584\n33224 38378\n12163 31217\n36627 38091\n17859 27887\n34184 47199\n21608 41891\n2843 45841\n31221 41990\n29060 47627\n40063 41781\n2058 24776\n13182 22864\n4070 11692\n22233 25261\n17736 36878\n34239 48200\n5413 18047\n22111 37131\n3079 20096\n36559 41740\n22594 25872\n20436 48192\n15246 22533\n14470 41584\n1572 4215\n16487 48293\n12687 26385\n6706 10987\n9118 10491\n40895 46552\n23980 27311\n36826 45998\n16567 20207\n38873 42279\n12537 46323\n10076 26426\n437 22564\n7464 18128\n16987 24541\n20658 21922\n32051 48180\n12433 47258\n8447 18106\n8276 48006\n15252 18939\n4614 40324\n5794 33977\n15023 25660\n972 3824\n11942 35080\n23751 25986\n3319 23093\n9012 12067\n470 39827\n5488 20631\n18925 43800\n19763 20403\n94 47604\n15570 41720\n830 48660\n30024 46891\n3884 15906\n5816 39251\n20420 28192\n10217 26037\n38167 48507\n15181 36062\n31239 35351\n3343 14554\n5717 21810\n12098 13587\n10746 22501\n5276 5466\n33927 36865\n12706 37544\n4193 48274\n47452 47744\n6949 38739\n9611 37496\n17604 24949\n7692 42022\n15238 40226\n7683 40478\n8379 26168\n32401 48640\n27765 36834\n4530 20351\n12272 39899\n26950 40042\n17699 44454\n16464 37578\n42369 43107\n14962 24687\n33276 43604\n36852 37017\n16001 18620\n32588 41259\n15760 38141\n25406 36341\n880 6006\n21688 36390\n25876 46028\n2841 10251\n10473 12198\n14547 45813\n13736 47417\n15240 24957\n34491 48340\n28073 43947\n3116 15674\n11844 34264\n26851 38104\n21558 45098\n13206 30147\n19628 30007\n12963 42889\n16513 29261\n366 43129\n12475 27630\n5248 13360\n19074 33656\n7481 22887\n6120 13823\n29961 32993\n7352 9334\n18682 41278\n30273 43535\n14551 16409\n10024 16029\n7132 22805\n28087 42256\n6191 44518\n9849 15331\n3144 22624\n38968 43689\n14870 44653\n14415 38868\n25433 34807\n4041 31767\n14309 28017\n6209 30311\n4677 13504\n13443 26183\n33304 40815\n13015 22796\n38308 44560\n21659 45105\n29217 34494\n33919 40023\n24054 34866\n9377 35355\n5654 23616\n3184 39367\n38854 39859\n19244 20788\n8011 44592\n40455 45488\n810 15542\n1065 21405\n210 47627\n35298 39113\n20646 33729\n14124 42298\n12192 14175\n15570 45393\n20119 44022\n7187 44698\n23581 32666\n39634 47853\n2664 27777\n9078 19026\n9417 32223\n25839 40162\n37338 44268\n11956 27948\n12705 14534\n27574 48270\n25255 28177\n20349 27558\n5937 34357\n37370 45776\n34514 44203\n35820 47372\n16104 22819\n24487 39846\n24304 47117\n32192 47813\n14417 32724\n30749 34556\n6556 13403\n3243 47734\n44224 48297\n1817 11788\n623 27115\n33521 41628\n26043 44780\n11552 14674\n5950 44323\n16273 35986\n16225 29686\n19799 32002\n14752 26510\n40890 48409\n5913 47604\n2179 42328\n33281 36320\n646 9101\n14487 46966\n21517 25704\n16827 28822\n20936 41605\n23896 27798\n5391 22610\n30895 48513\n8082 47898\n12375 21645\n4433 31141\n13104 19868\n34533 46158\n16481 24736\n7343 9359\n20249 39800\n17417 44268\n16316 17418\n6122 46226\n16495 21353\n32318 45932\n2731 28298\n3069 23518\n31631 35669\n23940 25093\n21503 44357\n33348 43768\n4886 8940\n10038 44499\n12258 46806\n13962 40200\n23738 30194\n29428 44666\n12846 19208\n44124 46867\n8028 41549\n30653 32261\n37789 39600\n7151 35601\n12902 20488\n8682 26802\n4079 28433\n27311 36920\n3268 32397\n4790 24361\n12336 44292\n9902 43449\n15519 21574\n15444 20216\n33895 41119\n21347 30148\n2803 26142\n5948 33729\n25130 32952\n6753 13074\n19319 19617\n11678 46715\n36777 39897\n3110 32633\n6658 7169\n3171 45844\n17433 20908\n29804 36574\n21993 42789\n56 10105\n19609 27084\n21436 37869\n27594 44272\n16445 20045\n25547 33018\n10508 37400\n10747 38685\n8102 8308\n12816 28469\n18271 21947\n2455 3784\n19919 24138\n1362 44760\n20359 43273\n26979 34407\n7746 41123\n16301 16719\n5760 13621\n10003 12289\n2036 16013\n25750 43129\n14203 30635\n25110 26516\n28520 32560\n20381 40780\n10179 18073\n34908 45212\n931 31540\n37580 44949\n4170 46577\n12551 38163\n22698 27667\n10387 15734\n12608 35694\n23039 33430\n45000 47583\n15722 27278\n12663 24671\n12369 20506\n12389 41238\n13311 35437\n8047 22397\n18572 20581\n17449 43645\n29821 44181\n17373 47937\n9022 33007\n21260 31601\n24349 32583\n41573 42932\n18443 39703\n12545 46974\n6520 34108\n21854 39532\n15510 43013\n13270 18775\n12107 35161\n22810 32819\n11061 17733\n4705 5334\n21958 28620\n12331 37146\n29965 30190\n4649 36120\n4945 27158\n1524 4795\n872 33117\n19993 43457\n24288 30806\n17586 46219\n9942 43219\n24440 42338\n4025 25014\n15656 32341\n24142 41311\n1906 33297\n23245 39578\n11141 13745\n6787 11705\n17805 32005\n29743 30346\n26091 28658\n11646 41389\n18163 24423\n33037 33154\n42609 43558\n15127 48180\n2010 43668\n7707 46164\n3668 39676\n16376 22744\n36705 41973\n12560 25053\n21558 40708\n4797 6724\n5768 13072\n765 23077\n23851 29564\n5147 40660\n3677 31027\n33938 41458\n17557 34707\n7965 18396\n35030 38386\n1366 18203\n17711 18006\n527 18552\n5196 41301\n2103 45483\n21701 31678\n10754 22653\n32353 35833\n35458 40874\n23871 36955\n24522 24934\n19795 21122\n19019 33317\n13939 28613\n32744 43586\n30594 45740\n29900 44829\n3273 21833\n22087 41001\n27600 34132\n16089 35669\n11204 13272\n31215 39338\n45263 47596\n22158 26445\n14022 22602\n2787 2800\n9875 39730\n30622 34052\n19667 45488\n3183 48604\n2319 13674\n8833 24650\n10856 19651\n3822 11086\n22346 46442\n5625 25255\n4771 34610\n1669 13203\n8184 11231\n13736 23085\n39510 44414\n6676 31468\n30006 31192\n35749 38703\n10213 20942\n12560 43076\n16884 39939\n20313 46330\n35147 42066\n3833 28108\n30637 35042\n26029 40653\n5847 17694\n4176 35620\n13088 15365\n14076 44587\n15852 37429\n13015 37877\n18116 39914\n8559 16482\n2783 46814\n11824 31218\n12238 34275\n18288 24935\n7789 19305\n16051 36406\n11553 18106\n40837 45901\n5670 26124\n10185 43839\n9577 41353\n8144 22183\n13795 26442\n23419 47975\n4828 33295\n3227 42893\n23632 43377\n15827 36191\n29381 30082\n31274 46370\n1806 42768\n12015 30871\n2764 33412\n223 2409\n1657 23169\n7895 11489\n1395 35590\n27415 34572\n37501 41811\n10935 48124\n32184 38371\n25020 36998\n7478 26155\n32380 44327\n5559 12699\n28719 34708\n24798 34717\n18625 24931\n42263 48442\n4187 19432\n411 46830\n10581 47641\n4329 40808\n34139 35836\n12004 19309\n8224 24439\n26580 39698\n17427 34465\n4626 25221\n5774 14284\n22443 26261\n2024 30675\n9716 38546\n11425 18619\n15970 40864\n1866 16075\n33684 46144\n13648 34096\n6524 24840\n18328 37562\n17211 27739\n4822 30895\n31441 35498\n15971 46021\n5851 39281\n16338 40943\n39003 45199\n8610 27663\n4486 43149\n17433 30008\n29938 38173\n4222 21395\n7723 35467\n18413 47770\n14018 24609\n30079 30347\n9175 47099\n20474 45168\n5282 29767\n2570 14680\n45041 48610\n8258 11936\n17653 35500\n1987 15776\n22497 46105\n3377 25201\n20919 31167\n14309 38283\n2940 36128\n19210 24749\n8830 11736\n13276 13550\n29385 29719\n33731 39295\n23458 38492\n7614 21514\n8558 40616\n12617 22614\n4925 16861\n10916 23595\n19708 29082\n1294 10610\n18560 29139\n22241 43791\n12441 29582\n35704 43708\n1784 26974\n18750 23881\n13346 24826\n634 42235\n22801 26233\n367 13433\n33567 47940\n33591 44171\n27447 48023\n2642 12706\n8226 37523\n8614 19145\n5795 33474\n9903 33383\n17405 21536\n31199 32843\n17193 25241\n8068 8613\n23736 48295\n9724 41895\n16918 41101\n8915 18508\n8820 46645\n16507 38508\n34105 36541\n24685 28526\n6181 31998\n10149 14092\n3510 30549\n12816 17629\n6548 41249\n6533 15523\n29999 39186\n37416 47160\n10172 40657\n39854 45891\n18741 48486\n29468 37626\n2653 17038\n19218 44194\n3381 20770\n37066 39844\n6723 31420\n2604 21948\n7348 46947\n23886 36812\n19272 28322\n3331 34190\n33980 37744\n18360 19264\n23652 28379\n7194 14642\n23359 40366\n5371 26921\n29147 29554\n20309 42135\n8670 21353\n40553 47847\n753 7673\n18173 40740\n2853 13104\n31462 45274\n16378 23714\n2222 38099\n1615 36665\n5599 38898\n45186 47888\n4027 43671\n9963 23152\n13766 30295\n6574 9105\n14114 35004\n2096 3379\n7177 16519\n27864 32834\n13672 47866\n27166 31379\n1681 33577\n2020 35984\n154 41694\n10734 42047\n27685 30460\n31340 34889\n7535 9556\n982 19911\n23910 33444\n14505 19000\n35551 41048\n9443 47493\n5993 8957\n935 16211\n12607 36729\n17703 44910\n22493 25182\n1191 8027\n30084 30360\n44062 45006\n33977 39350\n9866 13993\n26540 37847\n21543 39601\n2967 12170\n15696 45210\n37995 41019\n20043 33057\n569 24141\n2571 47459\n6209 13427\n13067 24376\n17066 37453\n21363 38994\n19651 29849\n16 19287\n7955 45895\n1007 16535\n9497 29259\n28082 39493\n4221 43550\n23276 31397\n22807 44375\n8007 43223\n8039 23179\n1882 14763\n12576 13017\n36323 40339\n21019 33138\n10960 37086\n11659 19155\n15866 46831\n8613 13620\n13387 33869\n25790 30442\n15167 29003\n24979 40453\n30383 47491\n17607 33220\n12672 35508\n874 21726\n22976 33411\n26645 38936\n8553 46670\n12447 47071\n19459 28743\n8169 13142\n18100 23054\n2324 25509\n14191 41147\n31027 47568\n33852 37921\n32716 34924\n44463 44979\n11131 21358\n13105 37596\n693 17397\n25313 42905\n22288 39546\n30525 41392\n36401 46324\n1340 24524\n17478 19268\n15951 36512\n7664 8748\n9571 30204\n21682 27320\n2192 14028\n3500 3799\n10647 21108\n4850 41207\n2653 12876\n24828 47058\n1400 43880\n1699 25263\n44273 46080\n30006 46362\n40497 43238\n4837 20016\n25620 26024\n28968 30138\n20269 42271\n3302 8640\n3217 44330\n31168 43949\n23962 32810\n6268 6710\n24978 27066\n7039 36722\n16510 25689\n9474 30487\n20369 34910\n22914 40104\n13902 24247\n32697 40704\n28795 47750\n23719 33395\n17736 48679\n2889 47119\n26861 43064\n14589 46037\n14981 20821\n17407 42878\n39952 46019\n20555 34785\n16818 38246\n7157 37013\n15264 36866\n4183 11660\n35833 44318\n11635 46800\n12248 39166\n33486 36314\n8173 46680\n1296 47682\n2943 40950\n24946 27666\n9276 26325\n2960 7755\n22455 40418\n23693 29577\n31456 47861\n21892 22903\n18756 26727\n1398 31881\n7155 22159\n19663 31827\n33553 35277\n13518 32334\n15335 43655\n18199 33652\n26555 30151\n16522 43836\n29932 45988\n26154 31132\n6772 28397\n19811 21686\n14982 42087\n25762 35468\n12560 28374\n15917 40520\n35286 35634\n18411 42610\n29353 29882\n8819 14723\n25008 39706\n21458 21704\n24711 45324\n33960 36720\n38269 42299\n12130 26968\n3592 12674\n24647 47246\n27938 31685\n7619 9719\n5213 39132\n1205 24813\n20149 22073\n31442 35088\n18258 22532\n7458 35532\n36536 45411\n2653 4715\n21692 44718\n38372 46396\n8199 15914\n6176 7246\n11437 33130\n39452 48663\n439 17422\n29880 46955\n12532 42344\n20671 24558\n22711 36042\n1478 9612\n2722 14108\n17666 32700\n4468 40744\n11848 38861\n16994 47318\n25092 29831\n9468 48435\n4443 46200\n1969 42447\n6105 12061\n362 12791\n24276 41910\n34289 41423\n20098 35555\n21918 43449\n24472 32740\n6637 26787\n11448 27906\n12400 43176\n26895 41308\n5965 47370\n4428 12568\n793 28039\n21706 33111\n35298 47478\n12173 42288\n19111 28692\n943 26881\n9857 44033\n24813 48185\n16657 40806\n14651 20503\n932 20958\n20602 38314\n28142 37052\n34419 38371\n10425 17100\n22709 35530\n16276 35150\n14682 40230\n15380 37096\n14902 46575\n22098 38378\n37320 46252\n4867 47520\n6323 19116\n4168 8500\n40140 47283\n4237 19879\n6914 9438\n6832 13335\n13425 31318\n13906 33754\n10481 40761\n507 1740\n14384 26214\n1681 15905\n30833 32605\n7164 10710\n801 37997\n16616 17615\n15675 36038\n26500 46351\n23138 46144\n16349 41517\n25439 34927\n22975 47828\n26529 28221\n21824 31749\n5281 35168\n10489 27195\n9643 10337\n2192 28853\n22692 24191\n25469 39785\n2472 40419\n2601 6194\n383 1381\n24184 25303\n43285 45108\n29591 34057\n26752 46468\n5384 45503\n5572 33167\n31596 33684\n16514 19223\n16457 45289\n19278 43816\n5882 18669\n11178 11482\n38800 42082\n23489 40108\n13810 23787\n4442 21723\n259 23574\n22771 26055\n3685 8017\n4084 7741\n25290 45029\n36033 36413\n28838 45254\n21016 41338\n8948 25104\n14918 30448\n16270 21820\n32052 33633\n10895 19013\n42666 44848\n16871 29567\n10580 12715\n13950 34920\n7626 12789\n31353 44183\n29920 32383\n12491 46429\n36293 45261\n18458 20597\n23721 23920\n24380 26487\n17967 30272\n17788 20100\n33390 43456\n44567 45439\n17163 19623\n3238 20309\n28 26449\n19129 42847\n18407 23805\n13312 15475\n5626 13880\n24851 30853\n1849 14521\n16284 27865\n10976 25682\n24212 32927\n39 38007\n12958 34545\n17697 33989\n35782 47368\n3198 47616\n30223 48188\n28319 46182\n941 15915\n12898 39669\n4205 13424\n9656 16153\n1191 37607\n22086 43997\n30336 45453\n24961 44460\n27176 38287\n2703 23937\n25071 39815\n20971 32936\n1088 2282\n32945 46952\n372 46885\n1964 22621\n21844 31350\n34710 35031\n35889 45784\n21609 40383\n8083 35104\n6401 43555\n15763 40521\n1625 43464\n2889 11727\n11087 45738\n8722 48162\n8674 34223\n31319 33187\n5109 38340\n7814 12174\n20037 44747\n810 19154\n11929 33505\n24714 41845\n4706 22795\n4815 26617\n33041 38826\n20971 35589\n22081 26799\n11307 41867\n10683 38088\n16945 28347\n19627 39245\n22623 26097\n20505 46306\n1361 21812\n21322 23856\n4865 33155\n26364 37743\n9944 29929\n28222 41352\n22488 26322\n2968 11159\n15141 33437\n3952 29747\n17327 48250\n5627 46995\n117 8059\n415 6880\n24010 47213\n34044 36402\n7226 10965\n2735 5469\n3268 9073\n19460 26992\n12699 28798\n5737 39092\n1035 4133\n5809 8130\n24577 24973\n26310 30337\n24395 27405\n764 24203\n21808 39383\n23576 38662\n16225 30866\n407 41370\n10559 35588\n5177 23624\n5984 38247\n20202 42020\n2547 32353\n24554 35876\n5087 38434\n4214 18589\n14693 25350\n12678 46952\n11754 12264\n18793 45099\n23590 31562\n14361 47624\n3238 8508\n11472 39102\n44125 44153\n992 39865\n18993 22448\n5370 14624\n16236 40595\n11224 42819\n20785 42587\n25925 40776\n2116 9751\n4902 34682\n8128 13948\n20946 25065\n40720 42697\n12283 14759\n22658 31833\n30658 46542\n4292 20319\n2979 7355\n2567 16196\n1696 46222\n26260 33006\n33586 46376\n17313 27544\n4991 19416\n8004 12035\n21731 33749\n6299 40867\n14916 21029\n34031 47024\n15349 38823\n13616 46681\n4977 48096\n2321 38958\n2264 35191\n2168 2239\n1215 13185\n21692 41173\n8438 11576\n26394 27949\n20309 34550\n7413 21025\n13195 15569\n5435 13634\n394 22990\n19545 42789\n9321 38196\n11301 45599\n15876 29505\n31350 32203\n13126 43753\n19811 46062\n19072 43936\n10558 15711\n37614 42496\n10856 13125\n31451 48382\n8683 36621\n33512 38381\n4431 19708\n6079 34468\n4802 18703\n13143 29926\n3908 16039\n7507 24285\n29214 37360\n18769 25149\n447 1039\n15754 39019\n9464 15705\n136 20975\n1976 26430\n6065 43062\n9817 28533\n20962 38561\n39606 45683\n20860 37436\n27721 31535\n16725 28692\n3153 36841\n37004 37681\n37434 46852\n20508 23764\n23940 32307\n34457 35102\n21732 32612\n32552 40437\n11355 32762\n3915 6977\n7946 12061\n16465 32308\n28106 48268\n12059 15704\n1506 26692\n30155 46010\n19046 43158\n34973 40088\n30381 36504\n7546 31111\n8042 39153\n12062 28995\n10543 41541\n621 40985\n34324 39209\n4256 21509\n11792 32002\n16111 20850\n3026 31514\n7264 19795\n5839 27601\n46544 48518\n11867 15960\n22835 41216\n30603 46121\n27219 45119\n14052 41792\n1622 29271\n7747 21685\n13370 22178\n19338 22882\n9771 25958\n9089 22346\n4848 47631\n3217 14869\n12690 40191\n235 17246\n18716 33943\n8901 41253\n19969 32832\n23767 47630\n53 27474\n34610 46864\n4335 39511\n28228 29575\n11358 23056\n46103 47749\n11799 48431\n28312 43715\n1591 28364\n19399 36905\n15103 42833\n9095 40828\n6609 36507\n26823 48381\n13103 19906\n13280 45254\n12011 17245\n2741 38817\n18549 23997\n13033 13717\n29074 33288\n9682 22995\n4367 16129\n3051 25200\n25986 46805\n5216 40657\n9522 47254\n28424 41319\n13885 17024\n8138 12476\n25107 42737\n1720 38325\n27152 39379\n17540 27961\n3479 28866\n5422 22494\n2515 13040\n7817 16237\n33570 34215\n15662 38355\n33883 45956\n33716 37385\n4485 21674\n21969 45589\n41196 47479\n6687 23137\n28048 31363\n1092 36416\n24560 35913\n1140 44688\n2470 30307\n5269 29090\n7512 12438\n5533 19710\n686 46000\n38277 46270\n3896 13051\n6753 29180\n24693 33340\n25919 47313\n7660 21883\n22127 36664\n11852 41366\n6063 30674\n558 3941\n15138 22262\n30395 40021\n25352 35614\n32929 35148\n9932 48591\n1096 13165\n17584 46949\n2336 19993\n11870 38164\n4290 26585\n3287 6196\n27418 47602\n26833 29324\n9505 25202\n11715 25101\n3144 25258\n17079 37759\n13868 42001\n1831 5105\n17169 39000\n36081 41792\n23908 46862\n19105 46206\n10942 33232\n1045 40046\n13253 13997\n18768 20894\n13896 34394\n37455 48347\n20029 21908\n21644 22501\n6548 21159\n19771 40859\n6939 20328\n18565 21530\n1458 43509\n11269 47607\n14477 31859\n14340 27376\n27861 43173\n31442 40809\n19306 47914\n17230 37902\n31638 32594\n25554 28705\n6124 34771\n27556 38996\n31366 38853\n7965 16144\n30156 34991\n6091 26117\n1569 40911\n23243 40338\n18910 38646\n11952 48627\n4967 29701\n10625 20423\n31241 33797\n19077 37355\n581 18490\n21632 39251\n32516 39690\n12537 13784\n26473 26938\n41031 45184\n17407 35690\n11919 44433\n30943 40430\n6431 45432\n13315 24382\n27694 30773\n27012 34480\n14828 31878\n10785 30941\n3418 45904\n24163 35156\n35893 37262\n5928 46147\n18611 20996\n16209 40644\n10014 11436\n11732 31642\n381 1574\n18513 20791\n31453 40178\n2472 35742\n3349 29256\n5868 12507\n34657 42679\n17773 34183\n19778 26442\n34703 39241\n11688 21375\n22998 42445\n3756 25506\n19377 19429\n17959 39545\n21996 44940\n35149 46078\n1011 34983\n661 4354\n37937 43837\n31868 36882\n4178 45380\n25941 48182\n31240 47987\n22953 27674\n1191 7570\n27605 47513\n33930 37907\n16137 35886\n9701 27246\n15706 29733\n23716 34073\n1468 17837\n30448 34161\n1371 17021\n15528 16539\n25704 44282\n26692 27109\n22855 42911\n29090 36861\n4892 17448\n17931 25192\n7523 9148\n22591 37366\n24369 32374\n36397 41851\n2567 15320\n14311 38134\n702 22935\n4396 30518\n11388 32344\n8602 29740\n19058 26666\n4002 27354\n827 20033\n20485 35145\n30946 37843\n13579 28308\n2287 37880\n18062 23929\n21769 33089\n30539 43936\n20077 34155\n8347 21699\n2301 18554\n3418 35677\n26133 30812\n41074 48456\n5783 35700\n10896 34125\n18714 31387\n7166 44810\n23965 35442\n41996 45643\n17950 32313\n12034 19340\n10504 21439\n26398 44753\n18925 34064\n38825 48427\n3391 23898\n4071 40890\n28400 43789\n33948 38287\n22529 45437\n17002 42485\n19497 34644\n3392 44209\n24608 37962\n13123 24557\n9643 44522\n5780 8999\n11018 28441\n30796 38269\n11892 37568\n15661 23942\n18347 27297\n41638 44333\n945 18938\n615 38557\n39534 48233\n3325 43299\n6581 22771\n20895 42233\n20237 25671\n7984 46390\n20930 40015\n5091 15245\n12430 38897\n5768 26202\n7383 36274\n38700 45100\n569 12639\n17250 26647\n46647 46853\n3684 7609\n2642 16134\n39225 39450\n7641 28720\n20590 21184\n10547 16216\n8280 33117\n12528 41714\n14955 31019\n13308 42364\n8616 19915\n16378 45990\n22317 26597\n44769 45394\n25819 26863\n34911 43737\n20341 27666\n12964 33840\n16703 38105\n13200 32425\n32159 38467\n20011 45289\n21637 36070\n3603 26011\n76 37410\n26546 36396\n25090 41144\n16867 46736\n10183 45693\n13427 41424\n29777 45126\n35301 35676\n7777 26099\n2119 3716\n39863 45475\n15514 25376\n22995 42816\n18384 45649\n32925 45987\n3830 23833\n15511 47618\n11649 34115\n15938 21696\n24704 47843\n5745 34924\n16086 32513\n4569 6619\n23428 27090\n1356 32145\n26914 34112\n31383 34984\n19010 27678\n5882 22005\n10474 27257\n42411 45924\n36072 45043\n404 21183\n731 42781\n3413 46354\n28369 42517\n14003 38718\n13904 35535\n39199 42892\n20371 41425\n20697 25983\n45277 48019\n17752 37012\n3807 44989\n4434 27905\n32193 42200\n15441 41691\n20162 24573\n10830 43594\n1758 27083\n3008 9038\n40782 42074\n32631 34364\n1151 46390\n639 48068\n12423 25334\n14933 27138\n25427 27783\n29480 40892\n22254 27802\n20214 41615\n3214 30108\n40533 47759\n7610 32566\n7724 38833\n297 46996\n25698 34222\n7181 37083\n25856 40033\n2791 37461\n34220 39357\n21677 39686\n12871 34638\n5512 20470\n19727 37489\n9059 11715\n6808 35676\n3930 16204\n733 37635\n18424 29262\n269 36969\n18517 33463\n1525 19373\n993 36824\n1078 10817\n16836 42965\n27190 38953\n8096 32690\n5314 21763\n33996 38068\n4686 5179\n33848 35303\n7993 33416\n22629 39934\n1916 27357\n12624 46762\n14575 46311\n34625 42590\n18902 21684\n10932 12414\n37305 40931\n6832 45869\n7739 19447\n17334 21306\n27995 36028\n4890 41381\n22029 22999\n38085 48236\n6279 35269\n8424 28501\n26845 47383\n7782 21634\n46615 47159\n9613 35557\n26462 37315\n1479 21115\n6410 27314\n26506 29763\n10250 21584\n28078 31735\n7117 19503\n2414 30827\n20818 33512\n5712 17505\n14284 30939\n29106 38148\n7126 14847\n17702 35111\n397 48477\n11651 21189\n34888 41367\n639 22687\n15676 45599\n7058 13351\n3844 21867\n15447 19714\n5842 9841\n14388 42530\n9656 20750\n31224 36442\n36770 43871\n11181 17654\n23717 24258\n5454 44513\n25337 39582\n32321 45789\n26988 38393\n12027 47514\n28726 34424\n1281 7046\n6392 44209\n40435 43951\n4536 28561\n41142 45038\n11830 25978\n4705 41221\n2736 27148\n19899 37353\n11884 30704\n7813 27189\n18968 39883\n9041 48333\n3746 26214\n4168 14809\n5438 19771\n37350 45044\n325 45975\n11294 26485\n16347 27170\n23650 35212\n39444 40903\n9610 12463\n2284 30870\n4012 39586\n5369 28513\n39871 45137\n12984 35007\n3702 5140\n16034 35997\n15384 29141\n3858 25796\n10782 25251\n20269 37253\n26407 33045\n32285 33462\n570 13659\n17049 46310\n27760 46311\n6008 15613\n2812 26388\n23674 45471\n13473 23914\n36228 37559\n42389 47700\n1107 18695\n637 47314\n45736 47281\n14022 33940\n20654 25174\n4504 33057\n6419 43114\n17859 28808\n18739 46993\n26230 33241\n3633 12177\n23588 36985\n27747 36067\n21983 31497\n14957 35943\n20559 31025\n361 12095\n17924 36763\n14438 37384\n9965 21582\n5873 8428\n1487 34476\n13590 14050\n24028 31636\n5726 29413\n29279 47038\n2608 7303\n7560 29236\n5954 36740\n10294 14949\n36478 39539\n37587 38683\n33014 38931\n1877 7502\n9054 15561\n33484 46687\n17250 48429\n3084 15005\n19295 40868\n26572 40162\n25155 28925\n14173 19012\n566 33360\n474 28017\n723 41428\n13826 28043\n3782 10529\n16102 30001\n9991 18080\n23521 31165\n4210 24490\n15797 43798\n34980 39540\n7633 33989\n30927 39638\n41073 47829\n38651 46528\n4713 20389\n20236 46599\n7766 38347\n2606 6735\n33308 47885\n42295 47379\n39235 39240\n32739 40173\n16959 31384\n2479 2732\n4466 37644\n36870 39665\n17273 42445\n6397 43854\n4116 44209\n24621 40431\n11122 16555\n23 21468\n20035 40167\n3199 8469\n20377 39979\n35340 41385\n21557 22834\n12820 47041\n22456 23745\n6554 16629\n8623 19316\n11525 30462\n8633 14093\n16607 38775\n25230 41264\n903 25226\n21949 44601\n490 48041\n7175 32103\n29154 47442\n16327 18257\n2849 3391\n41831 44825\n2743 33013\n32494 45521\n2552 4241\n10772 19008\n39065 44111\n14851 37100\n3147 40965\n3828 35897\n26161 37577\n13921 16115\n22457 29782\n14781 46450\n18148 26214\n2827 3688\n22434 26291\n25475 38794\n14512 23286\n9623 18299\n44828 48515\n7299 18828\n14963 43396\n5126 46166\n13890 16489\n12125 41961\n564 23226\n16595 37892\n20828 46298\n20768 48049\n10835 10854\n38361 46370\n6707 29896\n39398 42197\n5834 39054\n37610 48546\n11054 37381\n32087 42923\n14050 35628\n9700 20064\n35758 45156\n5979 35859\n14906 42391\n20576 44995\n4593 13615\n22176 35108\n14337 40404\n34512 38037\n5583 34515\n27465 43670\n21015 33226\n39194 40715\n10686 48259\n5187 26914\n14682 22235\n15398 45814\n13930 33049\n36064 41763\n43396 45773\n13978 45667\n12814 19703\n23105 23696\n34895 38946\n18341 18408\n6474 31067\n5753 17135\n950 1524\n10358 23578\n4652 30502\n1939 14335\n9478 28504\n6034 26193\n20123 36447\n18529 36929\n10558 30230\n28978 31202\n5134 10562\n20594 37006\n15190 34318\n8595 44854\n6824 47949\n7128 28079\n24580 32001\n15558 22947\n27766 43959\n988 32744\n2920 7508\n7131 13941\n2687 47807\n5977 22901\n27376 42939\n2780 18826\n2406 41159\n6411 17402\n5924 18191\n24735 26513\n26758 39243\n39432 43089\n22281 22424\n33646 45875\n13740 33205\n39545 40358\n451 11008\n5848 8964\n11359 36204\n5767 14874\n12642 39348\n21737 23393\n3629 38244\n25721 37790\n22528 42496\n21419 38035\n13449 46922\n20351 47782\n40556 46533\n4425 40340\n27500 41270\n2458 26035\n30908 36510\n21859 27109\n14152 48252\n455 37621\n24549 40189\n25823 31618\n3918 42738\n27232 44207\n9973 45616\n39 31761\n14365 16290\n36788 41051\n28173 41060\n22895 43106\n30939 42861\n4742 43741\n2285 18667\n13471 30513\n6205 6260\n13511 32884\n4253 48108\n11500 45781\n29370 32916\n15375 38907\n29178 38159\n2495 3740\n28463 39004\n21519 34820\n45312 46522\n16311 19453\n7675 16926\n19234 28360\n2725 9631\n37517 48600\n25988 42975\n25475 43689\n7749 42614\n5054 9533\n842 40169\n1784 44439\n35208 39931\n11149 18947\n5683 44201\n15898 18876\n1869 19262\n3187 19047\n25489 32088\n1742 31439\n21754 48150\n733 44040\n8226 27412\n17410 29905\n2352 42255\n22545 39409\n9662 21865\n41997 42913\n4040 26575\n16442 39455\n42135 45288\n5002 5521\n3989 38422\n682 5680\n7837 20652\n25904 34920\n34808 43753\n11542 43862\n17789 19143\n36322 42445\n16647 39375\n3241 42206\n22857 48503\n1145 35906\n7602 28976\n4421 21062\n21774 41438\n5889 19072\n19536 24302\n13903 37149\n9368 17409\n18030 48048\n26146 47261\n13301 29046\n14630 28430\n47789 48432\n2648 27151\n11624 19071\n496 46306\n2252 10940\n12670 48064\n28976 30266\n11632 13625\n24691 36734\n36515 46671\n21235 27573\n8008 28412\n29684 31013\n2820 18795\n38190 39437\n5895 41039\n11926 20940\n33744 45424\n34939 40094\n41 9612\n37260 48554\n14163 20736\n31412 34132\n21141 45680\n18908 40753\n6234 21975\n20592 37799\n23980 44357\n13473 32654\n3159 12833\n30942 45570\n2353 20482\n10849 25033\n31792 43754\n10635 26780\n42270 47682\n23965 36245\n15807 27204\n12453 27291\n31407 38134\n5920 46222\n23816 43075\n2866 34289\n19165 36437\n9225 22168\n17210 36833\n4908 41437\n23361 39615\n5290 23334\n25523 27831\n18684 35212\n8937 23549\n33121 46636\n541 9455\n11308 17189\n27744 38875\n39493 47938\n1202 34990\n6884 47128\n1082 9471\n19616 41610\n27258 31512\n2228 24104\n20597 44906\n41701 46049\n31996 34957\n5446 41997\n4836 26697\n12773 17232\n32045 39124\n21022 39027\n43507 46756\n702 46081\n31079 45350\n16160 23810\n22257 47318\n723 14687\n30658 37954\n1523 3691\n13275 37992\n4188 26834\n7515 22705\n17635 40164\n16213 43416\n26585 37872\n26053 41246\n2814 31363\n24013 47374\n28037 28677\n6184 18548\n9003 12670\n638 47630\n15961 47459\n21887 44466\n37390 37444\n8996 37311\n14225 39223\n27793 47394\n14733 27335\n13871 14842\n23928 45851\n5933 37195\n24652 28344\n35759 36193\n4363 29561\n28301 37518\n4469 41690\n17600 22568\n12201 13596\n43896 46360\n28945 36089\n22839 37728\n31250 46176\n12803 48268\n37429 48136\n33243 43149\n28329 47416\n7451 47630\n2289 30863\n28415 28504\n13175 44371\n22309 24207\n27774 35664\n34993 37707\n35093 41104\n9585 10812\n1232 40024\n28339 39627\n31307 40512\n22735 45900\n11004 41436\n8587 29125\n20830 47456\n17256 46224\n493 21485\n18083 43928\n12028 31248\n23780 43266\n21304 29202\n38173 47460\n15208 20260\n6540 16727\n18991 42986\n23426 43110\n34417 38940\n26283 43432\n5128 18606\n13062 47434\n11590 39575\n23811 42222\n16412 23760\n13665 42049\n6314 41275\n8929 42032\n24517 33965\n33372 35088\n33665 43855\n36166 47221\n36108 45003\n151 46038\n30443 31187\n35393 42445\n20216 21354\n31432 32988\n2493 35945\n27998 36225\n36348 46487\n14722 24488\n9378 39921\n28694 39336\n17700 27223\n43381 45334\n811 23444\n17929 33604\n29026 32228\n5688 21643\n20081 25066\n35010 39047\n33383 46813\n27657 35074\n5230 45639\n10438 34037\n25350 46209\n44662 48541\n3353 25904\n16562 18399\n19777 21468\n13194 33205\n24478 31456\n8982 38310\n3850 7798\n6519 26383\n21876 47484\n37310 38316\n429 37147\n14531 22169\n7856 17644\n35384 47586\n25315 32045\n21274 32322\n12805 38613\n8489 12466\n640 10699\n22549 38487\n13475 18994\n29479 32860\n37053 47833\n5543 21756\n761 3435\n24674 46407\n13268 31288\n37701 39685\n1256 9877\n4683 26870\n20626 38119\n10224 13106\n2074 21386\n27432 44173\n11872 17922\n16583 37972\n1355 27160\n28442 48184\n29798 44736\n18687 22351\n22442 40265\n10885 32712\n5673 39794\n11516 41336\n10889 28406\n19936 37191\n7733 32291\n14130 43051\n19859 40614\n41730 44230\n200 9655\n2817 25242\n3106 47259\n6277 27860\n34956 44939\n40001 44682\n47511 48008\n11080 40803\n19295 23603\n5201 29881\n18249 37187\n2085 34661\n3440 40852\n5190 19021\n4134 17315\n22797 43971\n16437 42458\n26031 29548\n26191 44778\n251 7960\n7960 23055\n30007 38902\n15193 23664\n8972 20101\n541 48036\n528 28385\n12519 19466\n914 8017\n17736 37144\n29552 45281\n8156 47379\n20024 35269\n10308 20043\n8925 21095\n20339 32695\n25766 30351\n11774 42576\n10737 24671\n2306 7935\n8829 34548\n1942 24692\n1793 38597\n13400 21461\n8665 12598\n26921 38915\n8049 43520\n15896 38391\n20865 26390\n23817 26983\n24420 37715\n1803 35978\n16714 29475\n21519 24172\n6386 36696\n28898 32135\n31327 45114\n1169 35207\n38264 47448\n6100 10417\n8946 35776\n29713 40105\n4613 9206\n15808 37754\n1568 41295\n18704 40937\n17221 29952\n21789 43209\n6020 16339\n7048 32754\n34741 43976\n26620 43458\n3398 47027\n34 2893\n1338 28795\n8635 35305\n2314 46165\n33097 39877\n25738 38540\n3556 13841\n19939 33504\n29933 31539\n7168 30073\n8696 11464\n7758 8026\n23643 40837\n29385 44783\n10843 34854\n3625 6875\n7186 13744\n10685 37030\n33030 35604\n5316 41233\n5588 31528\n5831 33747\n8295 35725\n16023 39762\n498 42118\n9053 35557\n3317 32507\n2585 16798\n699 19478\n2597 29500\n11224 11572\n6482 22796\n12436 42170\n37172 44326\n17998 37935\n2819 30516\n1992 46326\n7502 37595\n11381 34724\n3880 14909\n4214 20769\n33597 36089\n14430 18589\n8689 18493\n6615 32131\n19483 27136\n45665 48643\n13911 23809\n23785 45801\n5202 34683\n14330 15382\n26382 30833\n37482 42366\n8011 14384\n1665 13946\n6770 22032\n21287 42340\n16833 36762\n10266 25410\n2372 2941\n10713 32622\n42266 42575\n3279 37329\n7303 28912\n6752 35542\n992 36281\n13596 15014\n29309 41474\n26164 31961\n11606 35431\n30195 45346\n8018 21509\n24447 32090\n26760 41456\n9707 11706\n25867 30000\n7827 48666\n3152 44067\n15815 47073\n11851 47922\n2623 35146\n31443 33409\n8360 36944\n4428 45004\n124 26566\n2101 44943\n31991 33848\n5113 10430\n13339 26547\n14918 35240\n17706 30336\n10228 32855\n24381 34503\n23096 26005\n11701 23309\n26588 40453\n7473 9393\n19413 24350\n11617 32213\n2969 39812\n13026 40417\n27800 45229\n1522 29723\n23809 34591\n9061 14659\n32849 34223\n23033 37307\n19371 38445\n26160 36502\n9174 27474\n19726 22963\n2946 3865\n18457 48348\n19578 20732\n20967 48637\n14139 18718\n19300 27769\n5549 46535\n2608 38772\n4893 5806\n11203 25183\n23612 48049\n14545 21372\n13207 21464\n32847 44732\n3436 8701\n8655 26479\n29720 31818\n28930 46738\n5874 44491\n17135 27777\n47768 48144\n19090 27458\n11261 31671\n120 33886\n12188 15713\n3317 22786\n12539 24928\n19764 44957\n9384 47060\n33525 43729\n19163 25759\n7712 36153\n4126 43582\n33437 44415\n35586 44715\n1290 38877\n17296 28012\n15586 38194\n24722 28748\n27340 32784\n14797 26221\n814 28244\n8154 9269\n42744 43330\n16488 40708\n11557 15053\n33365 46678\n6126 31399\n2411 20538\n8002 42954\n12311 23316\n13656 42254\n14124 37526\n1152 16970\n711 13832\n10772 44503\n5671 48360\n2061 35538\n1359 9793\n7307 19802\n8002 19805\n18265 32932\n16256 28106\n2547 9459\n18541 22848\n19094 23211\n41600 44807\n2207 29604\n5172 13898\n39946 48184\n12058 38171\n28667 42891\n29816 40303\n5633 38892\n29109 33848\n6809 16372\n23908 42405\n18178 34588\n5650 40120\n41388 42050\n11071 15412\n8334 30827\n895 46398\n3278 44534\n24164 27955\n15822 31519\n5021 40089\n3052 36702\n5647 31281\n5726 11080\n16678 32815\n7062 37139\n666 22953\n3276 22731\n5333 18212\n19837 33853\n6965 8135\n4122 12636\n27229 40422\n25992 26306\n1023 9074\n35684 36479\n13544 31469\n11087 24141\n6388 25970\n881 18038\n48032 48482\n14364 23771\n14307 31674\n30274 30559\n2387 13433\n23718 28270\n5842 43873\n8548 15050\n16556 27053\n22814 37148\n10426 48620\n1339 6862\n8631 37897\n912 32383\n8895 26481\n26583 45179\n23462 31349\n30668 41510\n11269 20075\n10569 28698\n5135 20237\n34334 46109\n2002 6397\n19149 32798\n10188 26708\n4075 41934\n1861 34723\n3875 12680\n19048 22592\n31799 37047\n3530 28763\n1211 18058\n3044 4770\n23813 34589\n13656 34563\n35546 43445\n18833 45303\n39249 40664\n12847 28753\n10585 21577\n11560 23722\n21997 30364\n9176 26753\n8093 18417\n6745 41337\n11587 23498\n32011 33291\n30449 40550\n31257 32291\n9928 22480\n17000 48366\n4058 20493\n8229 25538\n5630 18277\n8051 17775\n39974 47426\n490 31035\n8941 36088\n24029 28319\n22073 41057\n11321 12972\n13678 43878\n14287 40169\n8746 40334\n2730 29887\n600 20993\n23089 42238\n30929 39535\n8783 16637\n7998 45219\n2310 19463\n15761 39826\n30048 44134\n11328 45900\n14846 33906\n12480 14537\n2270 30216\n21109 36572\n46388 48445\n33370 38667\n21935 35974\n3083 6906\n25721 28838\n13335 14587\n25486 40767\n26712 32892\n16869 26037\n10437 20019\n11982 40351\n4005 46044\n5215 15759\n16064 24782\n1636 13545\n3766 24731\n11255 46337\n15512 32419\n13489 16266\n30322 46850\n3688 25263\n39319 41656\n36 36508\n1579 38699\n24866 41496\n33307 39438\n35850 44431\n153 18628\n21256 23313\n37762 44799\n11086 41664\n28584 41636\n37739 48292\n30012 37819\n13975 14876\n30986 47015\n3891 22627\n26605 36186\n11170 25993\n5901 28824\n28161 38901\n3341 5860\n2954 40421\n13248 23421\n8147 15921\n7332 26377\n23899 37600\n40199 41727\n10124 35502\n4295 37258\n11036 42566\n28738 34260\n929 32119\n1312 32309\n8225 34520\n8677 22676\n10059 31074\n8891 11097\n40590 43080\n22282 41586\n14853 16470\n30793 38715\n6408 11021\n2846 32878\n6648 41910\n30858 41614\n13973 31284\n12582 21027\n27108 34168\n12227 41859\n13014 35438\n19002 33326\n26805 31168\n15158 15287\n17146 35650\n11848 40200\n25839 27246\n25934 30566\n25725 36855\n3357 34737\n38713 41954\n16137 18095\n19411 22808\n32554 34758\n25599 37123\n5109 34638\n6982 36126\n31985 39335\n20171 32106\n9824 43427\n5822 26667\n10514 18336\n3855 13094\n1834 3655\n11031 45597\n13325 33349\n25881 28279\n21748 34040\n15149 41279\n9696 14431\n4938 46143\n7337 22627\n3813 21005\n19791 21432\n9623 16973\n11558 45630\n3482 21218\n10452 29148\n3656 19603\n11575 15722\n4561 19667\n21523 33950\n34861 41520\n33607 38206\n11480 19163\n11315 26596\n5553 15709\n39015 43782\n855 913\n7168 38462\n25266 27700\n24935 34028\n7369 26679\n24873 46643\n23671 30496\n4319 44710\n7141 28868\n19978 47275\n253 23202\n12699 37641\n19923 32383\n3243 5800\n13074 22780\n4062 17514\n1114 14750\n18353 28464\n13924 14197\n23461 41338\n2036 41053\n12940 35170\n727 31103\n41813 46245\n17718 32283\n30621 41976\n3914 22055\n14362 14791\n15743 37926\n17697 23705\n17629 19626\n21772 24484\n43899 46942\n26102 42808\n14329 18214\n3100 16169\n15440 37059\n34171 39357\n20639 32423\n687 40708\n1790 18322\n13213 23198\n2548 9716\n17216 29316\n17002 23334\n1266 41250\n15937 28317\n32546 42030\n16469 27719\n9612 13250\n23444 36374\n26419 35642\n8175 27819\n27873 33879\n27158 42285\n10744 11005\n11282 24654\n25514 40503\n33432 45438\n40228 45218\n33011 44094\n10956 13793\n9197 27326\n35156 45706\n9028 29418\n34311 47035\n15489 40721\n31174 33955\n19066 37152\n29250 36034\n22820 33844\n30072 30605\n27878 45821\n4749 41155\n1581 6699\n39113 41110\n19137 35434\n7173 39815\n28863 40001\n7955 44238\n11188 23374\n18077 46617\n16498 34160\n34603 38963\n1279 38850\n15677 48102\n20220 20892\n3784 36121\n9817 39139\n24692 30049\n17197 46575\n43242 43293\n21522 36501\n19422 21887\n37914 38163\n19468 25313\n10147 35322\n13536 47653\n17228 31078\n11736 46115\n42167 42903\n6651 30729\n29062 47264\n5899 35189\n12583 30661\n3363 19569\n17560 21732\n28519 37088\n11221 44345\n1428 6429\n17734 26225\n23287 46069\n27476 41960\n18161 41306\n19744 23511\n14243 31153\n17280 34312\n17294 42503\n22501 37534\n15149 39285\n6418 36764\n4040 15415\n30079 47211\n20253 38051\n14399 29654\n14143 16731\n39590 42589\n5174 17212\n6358 25367\n8745 37892\n27785 38063\n38276 47538\n2685 43862\n18881 37574\n9735 10226\n13033 47765\n2368 40108\n14565 30472\n4718 15329\n25546 41714\n7896 44122\n25569 25640\n19829 31996\n10666 47647\n27717 38466\n10182 32589\n8822 34603\n18285 26333\n18783 33783\n20670 21618\n20194 41642\n34333 38971\n6671 12366\n14357 30437\n9539 32995\n20605 22076\n13133 46995\n31703 41898\n4994 7083\n21721 30698\n19321 27167\n79 387\n5239 42856\n4750 48583\n22517 26590\n166 13006\n7335 10777\n11682 35895\n17881 40929\n11879 37124\n22970 42652\n39524 45003\n37693 44957\n5404 34987\n2556 11932\n4854 42585\n85 32887\n2822 12541\n17736 20698\n7969 10147\n20075 47113\n14966 24590\n37486 45571\n11789 44241\n7320 12387\n26634 32297\n15474 31335\n31090 39240\n10233 40336\n29063 41841\n6672 42895\n10188 15172\n21393 35154\n20072 37981\n1150 33410\n20251 30153\n33920 44002\n296 33861\n3908 18994\n35056 39332\n5504 9393\n13014 42111\n15816 38399\n2294 15169\n22933 35933\n9576 27065\n2584 29954\n36545 45725\n41477 46158\n34167 48558\n3458 44708\n20861 43219\n12637 21811\n34407 35925\n7482 46829\n29768 43290\n32161 47022\n22403 32737\n9829 44520\n11947 47054\n6646 15635\n2273 36794\n21870 33343\n3932 9680\n5671 14238\n19638 23528\n25218 26408\n3996 23861\n445 26547\n44056 45432\n17844 29773\n15309 28582\n6235 10754\n7653 44415\n8456 32550\n4155 20498\n20640 46910\n28947 46907\n21213 35541\n979 35910\n29108 40598\n4334 4960\n26928 48242\n34497 36028\n20760 23138\n8533 29381\n12486 44445\n27324 30746\n13484 42322\n11909 35403\n26062 42269\n18304 38138\n44437 48249\n37047 40768\n4167 26048\n3550 39201\n1135 10422\n38836 46180\n6421 22783\n3831 43055\n2902 6351\n40439 48177\n3364 19500\n30999 45447\n14436 19145\n30635 42854\n4898 14413\n32629 33640\n14633 45317\n15325 16837\n1675 45586\n40965 41266\n20003 28857\n30998 31597\n14094 37140\n15439 24482\n2145 13712\n40168 45550\n32619 48356\n3174 42737\n5706 40764\n37234 37453\n24083 26500\n20583 27417\n36018 44513\n23215 29976\n14082 21946\n3338 34606\n43807 47769\n10509 14398\n1149 6618\n1809 27857\n21630 25697\n22648 30423\n2079 3286\n15963 45216\n21413 46278\n14736 24049\n7127 30839\n11122 14347\n14025 20627\n1054 37405\n3875 15111\n35232 39935\n16510 47110\n8015 23133\n22578 26303\n44635 48366\n9844 45198\n5039 22439\n34920 43681\n12829 28865\n2678 29240\n15348 30402\n1422 45826\n11750 26366\n9175 35777\n23873 30410\n202 4306\n22288 25319\n3951 4978\n4402 43512\n21885 47115\n14084 18857\n12014 15320\n30532 35779\n24848 45229\n3606 46804\n19499 21891\n16109 21734\n34822 43067\n9641 30880\n14399 27329\n13634 29502\n12559 22631\n7637 27859\n1870 3775\n25737 48252\n27411 43359\n10127 34306\n17603 24112\n17511 29719\n18092 37658\n14593 16050\n1636 16988\n9937 36348\n1736 31050\n38782 41776\n5934 19120\n16326 18455\n4561 37628\n21061 45555\n2315 33668\n2069 27211\n29585 38587\n6217 33428\n7818 29345\n23022 41230\n26283 40540\n3292 4595\n21271 33298\n11284 42717\n13128 30678\n21454 48617\n3716 37082\n2744 6382\n17076 22302\n30397 33089\n25982 26070\n32273 48166\n5604 7378\n20604 32726\n29029 43501\n2493 4805\n15142 28024\n27128 31955\n2137 25671\n31766 36610\n11374 16483\n24332 33325\n14479 15140\n21726 44182\n41459 41777\n12801 47167\n26253 37920\n20588 21650\n7358 17645\n34341 47768\n4663 17131\n14779 29593\n12585 32052\n13795 25554\n10003 16284\n34761 46911\n10540 44558\n25842 46662\n13288 23801\n9292 36281\n446 35596\n23242 29257\n4175 18325\n7448 28192\n15151 41193\n16851 36201\n7765 25161\n36502 36578\n10039 35291\n1126 46225\n7602 37669\n1981 12014\n1131 21339\n12075 22455\n20352 36190\n547 28779\n25647 37062\n3708 26650\n2489 44515\n28551 33863\n19208 45730\n1936 6400\n544 29507\n3499 28881\n30613 37537\n12328 16043\n32667 40061\n11296 26527\n5450 46995\n20379 48328\n41517 41622\n3394 35715\n46948 47115\n10391 44515\n14013 17896\n23916 25358\n2502 14282\n26271 40999\n22156 24032\n291 32993\n40888 43779\n4488 12833\n32259 38827\n13277 36046\n15879 38348\n14133 28751\n3321 24351\n6292 39673\n23527 26358\n15324 16145\n35812 44996\n41908 47022\n27159 35798\n7635 15233\n24673 37361\n20287 22979\n15494 40443\n17419 23795\n37237 46801\n2289 11429\n8559 35894\n12196 42302\n4912 39213\n36678 44016\n10492 45234\n3238 34156\n18082 38462\n3205 17599\n10375 44252\n6778 32491\n24260 27662\n6850 23518\n187 10237\n29566 33826\n28103 46607\n30197 42477\n6605 43597\n15785 34242\n1333 34582\n40380 42814\n44957 46511\n10089 17827\n20796 23967\n4717 7622\n41756 42110\n6524 44234\n10250 34890\n14529 29481\n999 13409\n36461 39982\n32841 35404\n38474 42305\n6024 30650\n16589 42020\n15981 29383\n25704 26483\n23455 46676\n24937 36931\n14609 25171\n2846 10300\n25400 41305\n5821 8230\n27284 36855\n10934 34281\n25905 30637\n23461 35878\n22892 33452\n26100 41509\n13940 32715\n22382 28045\n2328 35889\n31198 38975\n9961 22243\n26337 32280\n2277 41494\n22983 37324\n4601 43215\n2058 45510\n1086 25072\n6054 33379\n9423 22583\n20845 23921\n36107 36860\n3760 10270\n3223 46044\n8673 17274\n7721 46787\n35163 46750\n6350 40670\n22905 34400\n4422 14416\n9263 37971\n27872 35284\n20314 23734\n22157 28696\n144 13100\n7991 12330\n5637 40127\n9901 47906\n23846 26559\n18386 25369\n668 27841\n5168 26318\n10068 40491\n14330 36873\n37449 48619\n1857 10832\n39893 44568\n15101 30281\n46146 47333\n4484 37876\n31626 37312\n13096 40025\n17953 23190\n187 14001\n25548 44163\n2266 36547\n39935 42309\n21809 37813\n33142 46661\n13810 44178\n2086 11750\n8064 15456\n43528 45291\n24224 44245\n5730 47100\n13732 16691\n315 31613\n13587 22003\n17165 24560\n45146 48569\n14622 14764\n3066 4616\n20515 23638\n44672 47942\n32904 45859\n7524 26491\n9416 32309\n19725 40105\n3502 30988\n6876 48309\n18646 33852\n15921 23439\n31128 48163\n19415 30585\n16279 31232\n17556 20100\n14993 22556\n30769 36608\n13415 40750\n5236 41219\n33454 39093\n25352 35123\n39492 43357\n5382 15651\n12359 28365\n7133 36841\n16553 18955\n2010 17406\n5126 12227\n12142 40158\n558 45994\n14553 47445\n37248 42430\n3560 36315\n1174 30104\n25134 32899\n3748 47530\n20232 32517\n7802 27146\n4032 6881\n3666 44087\n17839 40479\n20905 24467\n9134 21984\n23078 34035\n2290 41634\n9872 21969\n9887 15370\n39264 42946\n39433 43626\n19226 39133\n39419 40424\n33323 34945\n10447 31082\n2189 6066\n7048 9191\n30713 31261\n17500 42089\n29261 40530\n17580 26255\n14769 16165\n18299 26467\n31922 34542\n13357 45247\n10074 31304\n30667 46084\n42770 43973\n41764 44295\n27127 42281\n1599 44466\n26126 31001\n30273 41569\n29385 40190\n13403 34293\n3900 44786\n1650 37958\n4861 24819\n13342 25920\n47721 48307\n2840 34623\n26325 35948\n23992 34757\n18900 23813\n9693 45393\n29962 33057\n18940 27228\n4335 22903\n32528 33884\n16463 26233\n18447 36174\n23129 45105\n26524 47925\n436 39948\n6414 32884\n17365 33050\n20923 45473\n33981 46017\n18541 41768\n21815 34438\n17017 23367\n35541 44814\n3582 46008\n7084 28501\n11085 44162\n11725 21799\n9847 38277\n26902 37112\n32222 47330\n38689 42157\n192 2135\n6442 11132\n22479 29364\n8784 32171\n37565 48014\n28715 32725\n19216 40375\n7451 18146\n5321 26737\n43439 48556\n1740 29525\n8162 32399\n914 5480\n6519 26239\n37445 45323\n18142 18353\n13583 22442\n5777 36868\n16369 21364\n27776 35549\n18671 22559\n21460 46548\n12060 32191\n29854 33940\n21477 26345\n33090 39770\n6757 36629\n34685 45718\n37487 40815\n4015 17450\n7518 45054\n25176 43550\n5560 28801\n7645 20402\n5112 26041\n6564 27303\n13141 42931\n8242 17373\n21962 37336\n26185 27413\n32659 38486\n13899 31494\n18487 44059\n4211 29034\n11195 43320\n2552 37030\n38891 47158\n38541 46338\n44010 45899\n6742 22466\n30838 31943\n15435 33471\n2101 13492\n24813 32345\n32179 43824\n3827 23586\n14483 48139\n20030 34089\n1499 46029\n30840 41623\n28477 45132\n42937 45321\n44386 47941\n10338 26390\n690 4691\n2319 30243\n4204 39788\n20241 42260\n4233 21134\n14651 19452\n5555 43255\n10283 26481\n11508 28598\n23012 37792\n19247 21024\n9638 35556\n43958 44207\n18420 42374\n22249 29870\n3063 39020\n8367 48631\n1455 20314\n26975 32507\n4533 27969\n6096 28893\n10492 37830\n34505 36668\n15336 43414\n8987 26658\n19307 45647\n11532 27830\n22723 39218\n31559 40270\n13295 15073\n11398 30214\n26537 31647\n10886 43372\n17076 27648\n43934 44993\n30626 44520\n2347 38751\n28747 42251\n8916 27901\n25252 28689\n12663 14454\n23473 28990\n9834 38072\n8855 15305\n31251 33150\n10209 30536\n15802 38236\n16756 32020\n7273 30918\n685 11162\n14013 36828\n29985 47212\n31078 36927\n29521 29642\n1439 20323\n22588 24794\n21121 43065\n5824 37320\n14373 44576\n5272 47902\n21276 24555\n20366 47188\n41024 48082\n27353 34768\n12540 46346\n42934 45262\n23288 28926\n6884 22545\n1711 36546\n13548 36922\n19853 20210\n11137 39194\n36888 37712\n12708 46657\n30129 34991\n53 14700\n8044 14266\n33314 41141\n625 18819\n39546 45967\n14774 21285\n9546 34583\n18906 27544\n22014 30174\n21398 26916\n1181 28303\n46563 48505\n30986 45417\n10427 12243\n17840 30843\n10248 29536\n25651 45989\n38712 42096\n35628 46781\n47 27745\n4151 41663\n21251 45552\n5306 12484\n14378 43099\n14116 46435\n36242 39175\n29259 34902\n26227 43505\n19415 33052\n18357 21768\n3770 47116\n26987 32912\n18773 40756\n35613 37113\n31051 40976\n14105 28438\n29970 45363\n1222 38898\n38695 48185\n25745 41746\n14345 30402\n33646 39914\n3843 8850\n13464 33234\n6310 7552\n20983 37066\n14510 25724\n2520 39680\n1834 2986\n16829 35012\n17344 42997\n11640 12704\n20719 28810\n32069 32191\n26620 44305\n27349 33190\n21745 29043\n13251 35676\n10814 39937\n5001 29109\n1630 43576\n6317 27153\n5816 43564\n6119 12728\n28536 45303\n3371 17927\n30979 44524\n17791 38689\n11303 31374\n25168 40834\n9804 41422\n24204 29926\n22121 46860\n14461 38614\n2032 37116\n16685 39267\n30492 31731\n6659 19417\n22382 23301\n6050 32560\n12951 43189\n6682 19568\n41035 46733\n4320 18274\n11318 17325\n24966 35788\n18310 38895\n22023 34015\n9696 27330\n5538 37346\n15271 18702\n34529 34987\n229 26721\n3023 6645\n628 35809\n9458 17495\n6644 13552\n4424 9878\n429 22802\n6708 14374\n8698 13849\n23493 29638\n20458 43033\n20847 39214\n20724 31196\n16651 17292\n5216 47456\n10411 43497\n43670 43700\n10622 31649\n40255 47112\n14503 29018\n8153 12034\n34481 47297\n26427 39028\n25678 29035\n41603 42904\n16915 35514\n3153 28842\n1600 19518\n2764 3447\n7069 41512\n8180 9399\n2651 40221\n6016 18733\n39972 48198\n32320 36590\n7289 13999\n14057 45536\n19021 37715\n14508 26633\n7817 19576\n19528 38784\n4282 32900\n15543 19476\n448 30433\n25840 39872\n922 24546\n42236 47299\n24661 47470\n21366 24802\n3666 8787\n35320 36712\n12181 38414\n2191 18492\n44198 45123\n7065 38504\n17412 21630\n25484 25790\n13504 40867\n5352 28816\n14548 43808\n7398 40630\n1427 34349\n1495 25572\n22400 46799\n23472 23573\n1759 11055\n19837 25732\n17935 40364\n13259 24345\n28749 34595\n9239 20058\n15696 48472\n22826 33005\n21765 42512\n3641 39552\n35875 39657\n341 41988\n2233 47230\n3406 12233\n30907 43881\n13222 21625\n5887 11331\n3551 15323\n35557 37999\n10337 21764\n42856 48213\n2176 26872\n7516 28969\n27791 37082\n25181 26671\n23621 40948\n36734 46591\n29424 33901\n5965 39438\n13326 45579\n10274 39492\n5610 36711\n10366 24865\n10470 20647\n3281 30694\n32420 42554\n8225 36692\n4454 45160\n8189 12470\n35065 43988\n26365 36444\n15145 31487\n14335 42551\n5572 41000\n16875 17538\n15689 37414\n14760 17753\n324 30591\n22402 40512\n26549 43586\n31298 35169\n28715 35668\n21253 33964\n8035 21166\n1291 2243\n2706 41405\n6171 48426\n3185 32074\n13957 32678\n7954 21800\n970 33749\n35713 37832\n2890 5883\n40898 41128\n35542 38014\n19036 42747\n30083 31964\n7343 22856\n1245 29108\n9647 37893\n22086 28392\n15215 38880\n431 23544\n2139 38548\n12595 24672\n919 47705\n37144 44390\n15063 42494\n14446 23840\n21770 38983\n25996 30908\n578 24492\n5766 6507\n9315 33164\n13228 43525\n30443 37808\n4975 8309\n17287 18265\n7264 45627\n8218 26751\n13995 43964\n35472 47146\n25530 36897\n17978 29943\n9166 11628\n11118 41207\n7671 46471\n7102 13153\n29487 31238\n23722 41469\n4180 18079\n2485 25510\n26933 32026\n32890 35338\n42151 42316\n7325 16199\n33173 33882\n19829 36650\n143 21595\n30988 40312\n4810 40068\n23712 45388\n5376 32214\n32444 45633\n934 1119\n10447 46970\n13607 26839\n6947 26644\n38121 38708\n16628 38156\n31112 37420\n327 3667\n31381 32654\n12905 44835\n10021 37360\n9244 30865\n42466 44760\n21318 46419\n22390 41282\n28 35340\n9103 33687\n10170 25137\n8479 42083\n27274 32562\n24383 46705\n10067 13515\n2259 13119\n559 26414\n18568 22120\n6303 29699\n33536 35616\n6273 18710\n32255 43729\n22554 33461\n39131 39623\n15538 38667\n32711 40639\n16437 46701\n27147 35990\n8863 29750\n2284 42134\n26008 41663\n20031 34558\n23841 29496\n24669 26757\n12605 28939\n2785 27916\n4639 36433\n8002 17604\n39719 44610\n827 24346\n13687 29184\n1432 12851\n39117 46353\n26873 32709\n11957 22448\n4339 32189\n7878 15638\n36664 42535\n2477 5183\n24088 40987\n4344 10082\n24971 44161\n22601 23473\n10344 14143\n19558 27373\n4389 43898\n20371 39420\n6819 19704\n4435 25834\n3515 4468\n11064 31912\n3537 8076\n41791 46738\n26514 45271\n8882 44925\n1596 24993\n3286 32298\n4441 30600\n9978 20861\n32128 48634\n11316 42216\n10225 35578\n1565 42753\n9126 28237\n27909 46182\n19182 19277\n35358 43406\n40532 41519\n3372 8225\n11433 45980\n23069 38292\n7002 10676\n22028 36217\n1757 10241\n30643 31496\n2621 5292\n3105 15061\n26324 38686\n36551 48522\n26695 29584\n31752 36542\n27346 47251\n1143 35774\n6220 12435\n4036 47587\n10490 46407\n44275 47877\n10684 17459\n9505 25873\n15427 37110\n25556 29128\n12329 27179\n3015 41952\n18201 31380\n12134 16368\n4027 25282\n14837 32204\n24456 31719\n8664 25021\n3497 5832\n4202 28906\n20157 39083\n21918 47810\n29801 40271\n28528 28787\n25391 36537\n12639 19091\n11685 36607\n27933 45940\n17178 24945\n12992 27684\n27992 33322\n36983 46197\n13504 14641\n32432 41577\n3619 12547\n2842 32813\n9505 21260\n47059 47354\n22699 37162\n19643 35426\n23438 46034\n31720 36017\n216 9767\n8078 13041\n7875 22393\n11595 14818\n596 21873\n9836 45974\n13549 19199\n316 38779\n6494 20222\n30049 31716\n18575 28502\n4534 33455\n11747 24173\n2549 27589\n16796 35968\n3016 16252\n3070 26920\n14789 40746\n20414 30327\n35417 42868\n36415 39404\n5314 41966\n34092 40961\n3601 39241\n5745 39606\n13533 33487\n16446 22086\n18068 28582\n29576 47955\n17315 34965\n148 27670\n5418 5463\n10293 40291\n29393 44624\n18111 19521\n28298 45790\n9502 14919\n29690 42129\n2134 41720\n30474 33024\n39515 39951\n17860 17983\n586 14911\n12781 17085\n37732 43019\n7450 43123\n21638 29708\n31579 37924\n12061 18831\n16528 40524\n8680 25931\n1539 9978\n3013 25481\n20822 32544\n28538 36126\n33528 38032\n16613 29198\n36073 39881\n10717 24933\n25823 39706\n16815 42408\n31364 40018\n27090 30419\n8364 37530\n11372 35146\n21936 40035\n21146 35038\n2180 40563\n11986 36577\n673 17766\n2900 15624\n14521 32274\n2194 22939\n21757 41228\n18737 45952\n536 39360\n37531 40816\n13416 42680\n14367 47075\n6691 26028\n34502 43731\n23841 46059\n15916 40897\n40493 47200\n15297 22213\n7160 15373\n26490 36043\n39405 43471\n17192 39835\n8259 13357\n3222 9716\n4490 24875\n28065 32914\n6583 42587\n1069 39896\n1609 31072\n31096 33307\n2792 43410\n14116 18772\n6405 23107\n4024 37971\n3769 8697\n2024 31347\n35652 42544\n7744 27171\n17703 41486\n33820 46184\n11856 17831\n2674 44050\n26618 42471\n2769 25558\n28756 38246\n11094 24393\n4801 17416\n14891 34422\n31119 33002\n35539 37864\n31193 46129\n21622 22155\n16799 35379\n23272 36648\n25673 35632\n27179 43660\n29589 35514\n45225 45982\n17391 47638\n11396 35721\n7383 37284\n25752 44631\n12 34360\n4722 26859\n15059 39974\n21638 46557\n9273 45537\n557 48537\n1945 8558\n2928 44405\n28300 30283\n453 14472\n38765 41080\n21273 31641\n13951 16049\n24571 25912\n14554 32016\n3502 3725\n2681 13936\n4199 31039\n17570 32080\n21320 28146\n12282 47134\n16626 25143\n14121 39159\n5309 34626\n12136 40363\n20189 46887\n2615 3690\n7861 38738\n2258 44709\n23143 31937\n25575 45707\n20184 44320\n7522 28640\n24804 41087\n10196 10993\n440 36682\n8340 16660\n31997 40504\n19558 33694\n11105 40322\n3339 33363\n7826 11673\n3995 4991\n31838 46551\n7522 22842\n5164 43353\n17304 34410\n24614 38081\n42593 47918\n41702 43355\n37225 43014\n30618 35521\n14644 47795\n11406 43478\n33671 39397\n3346 30868\n25515 48067\n31027 48297\n30080 47143\n25327 26536\n766 35501\n6816 33906\n46316 46680\n12887 13647\n3719 27344\n9174 36538\n21961 35270\n37204 44185\n40353 45193\n8696 10877\n10083 47691\n7919 22939\n15449 30136\n18573 36095\n527 7386\n27738 32145\n30820 35231\n4796 37198\n17915 36566\n16810 29136\n19902 25677\n27995 41589\n32858 39944\n14205 31911\n15604 21099\n26797 42051\n21111 42419\n9037 30779\n29162 32659\n19565 21603\n29611 31637\n3867 24001\n34487 35053\n4745 36038\n38751 44251\n14888 27964\n32262 47263\n6736 41633\n26772 41184\n7189 31984\n1129 12141\n11313 24170\n12224 17836\n19566 33956\n22540 38284\n28762 39407\n22872 48036\n1420 36006\n38054 46221\n1770 30623\n7870 43334\n25219 28229\n14934 31113\n1257 37629\n4851 20845\n1805 31290\n9723 35393\n2663 6311\n11256 39364\n3662 10731\n41842 47854\n21797 26928\n8890 47179\n31069 44502\n40886 44753\n5334 23372\n6871 37271\n25675 27442\n14215 28033\n1134 31391\n11120 12886\n7601 46198\n8541 17893\n14629 45171\n25068 43513\n27628 34781\n9490 39518\n10093 22941\n689 4249\n7713 20541\n9000 9965\n8010 20429\n34367 48411\n22469 28447\n31816 44653\n28361 46965\n19054 21075\n41955 45290\n19273 24385\n15100 47515\n21783 46529\n1257 20831\n3780 43618\n1049 33409\n5197 26492\n10718 47144\n5684 33586\n11224 46707\n1011 33377\n10074 24920\n18492 28692\n10846 27719\n18439 48302\n21319 47004\n1791 24090\n25483 36510\n6003 40411\n4593 43892\n616 4225\n20620 25245\n11740 22611\n8920 38977\n25425 42619\n22854 48332\n40925 45685\n37773 44251\n20200 41597\n13403 47511\n2117 5478\n14188 19535\n11289 14595\n18575 28227\n25467 26065\n12027 24497\n29581 41565\n7661 18506\n26369 40785\n31741 40421\n28190 35689\n15784 29462\n13237 16877\n7686 26056\n674 32597\n29821 34481\n33092 43106\n36695 48263\n18708 24832\n12922 47734\n22626 39660\n14574 38099\n25453 33343\n14 46334\n14114 17391\n4435 12104\n12567 32115\n28046 35312\n3034 43371\n317 7666\n35433 35732\n16544 38086\n23308 30744\n9537 47924\n24110 39698\n22331 45520\n21546 28783\n18435 33592\n18883 41304\n15787 44938\n29513 39614\n19922 45571\n4292 14682\n36196 41202\n26748 45395\n26349 39097\n3740 39274\n24236 48142\n12060 22594\n20258 20704\n8764 47624\n29517 40395\n17077 39236\n29580 35857\n6478 11720\n27945 29133\n1585 10831\n9386 16917\n21488 37774\n25381 45290\n1304 14342\n22142 33239\n23651 25293\n15119 28742\n5013 41563\n4647 26961\n19339 21768\n3022 29767\n8428 34755\n2808 15890\n24688 34001\n9828 19619\n12715 20432\n25957 44513\n4450 5396\n17229 36986\n32893 46472\n17633 40463\n1978 34694\n20721 29285\n15120 26892\n20510 36906\n15300 44094\n14363 17773\n23198 48525\n9610 43262\n676 9154\n20445 27750\n26090 42505\n6023 8654\n2515 33818\n1679 33251\n15752 33264\n3901 11450\n4450 47211\n7739 16296\n1013 14696\n8151 28329\n16833 22034\n6044 37070\n4765 24924\n27888 41461\n15693 29981\n13211 13331\n6541 30934\n24594 26294\n26121 45418\n25479 37279\n16199 43737\n29916 30358\n9968 14222\n487 45272\n16096 45864\n29581 32043\n42199 42557\n7894 12437\n29924 33730\n6142 28934\n7517 12556\n9624 36420\n16559 46433\n10347 29639\n13749 33068\n3351 20415\n27515 39782\n37732 47776\n9851 16211\n20793 28602\n3733 36992\n18241 32496\n22445 23799\n26135 44671\n12995 20043\n22046 38538\n18839 32494\n17314 45058\n12717 27548\n1011 26754\n19948 39973\n37327 39811\n234 1846\n1850 21549\n20637 27737\n11220 35966\n11099 45735\n8319 26502\n42042 45443\n41107 48045\n13896 23436\n13856 32863\n13064 14721\n9725 39332\n7462 40801\n11496 37157\n23599 39199\n1251 4385\n16518 24973\n5153 24019\n16349 42992\n23027 46694\n23962 40421\n26681 39527\n12607 39419\n15493 38717\n18978 23512\n25595 30085\n20032 24261\n4110 18310\n5616 22924\n4987 21799\n39432 45476\n10455 40079\n2358 43447\n23203 48319\n24913 44864\n38754 45982\n7700 33318\n19347 39878\n23599 33320\n17918 19009\n11204 26322\n31333 33072\n6811 17227\n8290 45868\n14842 47379\n7676 37607\n3495 28378\n1312 33686\n3231 7026\n1011 30437\n11340 23698\n21397 29450\n25669 30555\n6542 26919\n7104 28676\n32865 46722\n17277 45732\n6240 42867\n21184 41176\n36469 37087\n14176 36156\n70 44725\n13861 35874\n2564 11396\n10030 40553\n201 43874\n11619 11855\n513 16784\n41760 42264\n3216 37507\n24742 37116\n2509 39835\n23613 32094\n7213 46875\n23689 26405\n22179 43082\n1388 39213\n32346 36022\n38681 40890\n1158 9760\n14327 28867\n2326 28542\n3568 8632\n513 47171\n30558 31885\n23832 42940\n15367 16999\n950 16511\n2974 20818\n16239 19949\n12410 34865\n1661 30700\n31224 48519\n21107 38856\n17963 46865\n38707 48174\n19756 33229\n14748 34537\n4065 47644\n13300 42869\n14541 39252\n3031 36392\n36982 46941\n32172 47798\n15195 21595\n6744 20366\n3910 28465\n11826 31390\n27024 38230\n17927 40352\n25779 38466\n21849 48159\n508 47103\n12667 24500\n45176 47520\n8688 21427\n30720 44918\n10898 36694\n8698 12012\n13148 24071\n46243 47242\n19717 24761\n20338 22429\n34046 36979\n556 40325\n34222 39253\n37060 39451\n37666 44776\n12536 43493\n1433 24536\n38186 45355\n30018 37376\n264 12712\n8547 35831\n10895 31955\n6569 33689\n23020 44083\n40677 46459\n22524 25330\n32561 35700\n41153 46419\n17068 28743\n18138 22304\n31711 43376\n21824 42055\n1749 22504\n19304 27582\n2994 30402\n28887 47526\n20448 43799\n18659 48214\n16427 47944\n17002 22377\n28395 45917\n26322 44936\n17113 46676\n10709 11216\n34709 48301\n2886 36042\n12991 22387\n7574 33506\n16719 29863\n5807 21195\n13325 24033\n1886 44044\n18915 43351\n16753 48112\n40634 47206\n41567 44729\n13649 39669\n21774 23294\n34338 41523\n21469 22768\n5433 36621\n37753 42193\n30722 48574\n2945 16010\n1675 38723\n5354 25582\n36155 36852\n1756 37726\n28280 48444\n10786 28031\n10089 11796\n7034 47427\n2476 9886\n5756 10561\n7645 39714\n34178 34837\n29637 40737\n18507 43544\n31556 41468\n4596 44918\n99 7320\n14644 43026\n17003 30399\n19543 32012\n19987 47215\n4945 26536\n25064 25257\n11446 38792\n25487 33751\n4318 19124\n41838 46253\n12849 40555\n25166 37677\n14098 44875\n12835 43770\n25302 47278\n14981 28008\n16429 21511\n3659 10444\n35453 41449\n1866 30108\n4725 7658\n10321 10501\n19719 20863\n13541 33878\n19618 41001\n3444 34203\n5910 41354\n41407 46215\n34403 42168\n12267 37286\n1231 9594\n29992 44039\n34 48642\n1407 19628\n24974 33901\n82 33560\n24961 37171\n25427 47373\n5180 35348\n24777 25217\n9054 10883\n16158 40176\n4769 8223\n14055 41417\n29740 44390\n11083 39988\n31329 43647\n17032 19797\n14400 31441\n7016 17267\n19603 26318\n9714 13265\n2570 37275\n28274 46484\n19764 19768\n28790 38610\n15022 31366\n29127 48360\n32663 46401\n22576 24076\n12292 21241\n27942 29643\n7518 8567\n17965 27822\n26392 43823\n41047 46147\n22191 24673\n28542 35545\n10627 18046\n5186 21420\n5291 42866\n18237 42491\n25518 27034\n17921 40603\n30054 46792\n2122 35542\n3310 37035\n22415 32210\n12657 15670\n14283 42620\n6446 19244\n14727 21753\n5283 15382\n13500 47836\n27782 32508\n42729 45659\n10831 29289\n24179 33262\n1211 31705\n22764 26630\n1574 22175\n28837 30716\n7213 36835\n12742 22262\n26076 26322\n4565 48179\n10781 45473\n2092 12671\n14540 20824\n26890 34712\n12206 38946\n7503 12912\n1406 37913\n26728 46678\n1638 28221\n5845 24986\n8550 31996\n37496 47711\n34314 36166\n8631 19361\n36485 44981\n17831 24748\n9788 29458\n2269 36778\n30276 36010\n16772 43068\n15841 22549\n2240 43048\n29194 35154\n10632 19694\n843 26659\n15770 40321\n25823 32785\n34111 37360\n36773 47215\n5855 9087\n18402 25657\n40845 48309\n38408 41322\n1161 30536\n14850 41759\n4594 42884\n8449 46470\n1926 22549\n26136 34497\n4388 33424\n14994 32073\n3744 38542\n21221 23357\n45105 46288\n15300 16517\n27143 34468\n15690 25971\n12332 39220\n9725 29949\n17911 27597\n33799 35238\n12687 39309\n21684 35968\n13582 16710\n20299 36539\n38636 45998\n11467 19762\n582 41288\n28128 39528\n27593 41581\n8421 44814\n12135 33046\n1268 17721\n8851 43658\n19977 44309\n7011 12029\n27463 31892\n13035 39011\n10052 42361\n5581 25214\n36651 40199\n13232 37935\n14745 41746\n19320 24034\n11305 23874\n10957 33064\n26466 45206\n8213 40790\n22267 47990\n5181 44593\n2686 23414\n26619 35891\n10926 22354\n3053 22418\n35487 36719\n15228 45804\n31547 35026\n13764 26657\n7910 47717\n8298 20947\n27953 48641\n15044 20726\n18499 25872\n39166 45662\n1093 48060\n20827 48026\n21225 48653\n377 48453\n47366 47522\n18550 44371\n20220 29092\n17750 26929\n8660 25183\n8455 26044\n4097 11135\n41064 47038\n12891 35087\n7711 26424\n35390 38353\n41366 47729\n32054 39569\n2388 11726\n6597 21191\n4081 48332\n4132 12189\n10063 44377\n34306 36203\n8876 19004\n5618 6816\n26216 45741\n39591 46170\n6085 22955\n10881 42731\n29599 35621\n10 13282\n16463 31417\n16567 24891\n42229 43267\n33261 40930\n26685 38527\n34516 35705\n2614 31632\n3376 30431\n4773 14412\n14816 41781\n14411 33315\n33558 45909\n6450 34524\n12910 47313\n43231 45129\n33266 38281\n23809 27039\n6474 31877\n3587 31851\n9096 18995\n4294 45099\n14694 46416\n11257 14419\n2554 8002\n10120 41577\n33356 39560\n10696 24559\n23258 46305\n9752 48174\n7277 21772\n43162 43210\n4411 7263\n23369 27070\n11698 16983\n21260 48096\n18419 29278\n19569 22729\n36339 46787\n7087 10904\n11178 28294\n25275 46595\n12917 44300\n18807 42256\n14260 35041\n310 41832\n8413 21046\n38678 47041\n22024 45651\n23776 28026\n10542 22446\n1798 23649\n43483 44247\n5093 47178\n14597 37925\n22587 36429\n13481 21355\n14601 20438\n3194 36425\n36918 48090\n39779 44262\n43641 46190\n3455 11753\n2847 9737\n13151 37319\n27923 45195\n2549 13972\n30013 39621\n16897 45863\n12073 22630\n14179 34974\n6846 46573\n3728 48346\n24496 42385\n21813 36076\n16934 44672\n7357 32472\n4019 30742\n7850 25731\n6848 32796\n15399 40430\n24169 45554\n29920 42959\n32664 36953\n23354 35132\n33293 38989\n28002 37086\n32150 45580\n1441 10063\n10459 33963\n13712 37149\n3812 48349\n28218 45720\n11702 17197\n18233 31027\n13176 35296\n25113 31586\n5120 30072\n10638 35862\n28392 28610\n21990 42607\n27228 47690\n16109 24124\n19184 28742\n5386 7926\n17825 29627\n11405 29680\n16431 33606\n30103 44012\n3069 11059\n47162 48372\n26817 37590\n21597 34539\n36495 41925\n20235 33369\n9963 24089\n26998 27598\n200 42405\n21191 27267\n33751 39216\n20910 45739\n25483 36563\n10629 38539\n13552 35441\n5518 37050\n26387 29846\n2201 10489\n12604 41093\n11242 41587\n6678 45505\n23428 41406\n2263 30579\n21446 26677\n3474 6739\n21 15717\n2595 21252\n3534 12033\n47340 47926\n22618 34316\n28927 39046\n23885 35600\n11401 22673\n11613 14158\n18379 33148\n33851 36472\n18889 19676\n585 9414\n35263 37988\n7248 10909\n1367 47641\n4463 29993\n6721 13391\n32470 48002\n25799 29259\n18979 46609\n30700 39131\n7070 32544\n43939 45444\n287 35123\n16977 34328\n44551 44712\n4332 6675\n11686 31569\n7990 26690\n16033 21396\n16770 46481\n19449 33812\n1868 2581\n20592 41365\n11226 33600\n8898 9842\n24219 37199\n26918 41631\n17049 47861\n3551 45256\n5596 22950\n14481 17232\n6217 14676\n3732 15646\n16557 40048\n16789 27059\n8551 42202\n23968 32712\n32436 36033\n20023 38875\n7875 47094\n19461 45027\n7461 10364\n13711 14774\n8136 44812\n24186 29695\n28995 31646\n20581 35687\n14153 38913\n3219 44107\n12873 21158\n9989 39403\n27918 32230\n1336 46135\n23646 32386\n12654 24921\n9388 43900\n4843 32143\n8490 47147\n10091 40765\n13952 43318\n4076 44393\n19023 37976\n9911 20627\n21471 37272\n11211 23594\n13106 46835\n13872 31000\n21537 24606\n46800 48480\n8111 47697\n11845 13581\n6476 43362\n1211 22014\n26590 37173\n2405 17923\n13903 14527\n26613 41239\n11213 47645\n41429 47489\n12659 25985\n9547 25186\n6871 12932\n7822 16627\n30820 44199\n43962 48324\n11338 26983\n31927 35661\n31078 35361\n6303 12249\n6977 30609\n15294 40580\n43028 45430\n18405 23404\n32052 46352\n20210 35117\n34565 40880\n26553 34862\n10859 26822\n13368 48288\n9438 33401\n36762 37355\n22670 25424\n5790 39367\n34876 39318\n15624 36392\n42717 48618\n10330 28140\n3068 44440\n6226 46284\n13848 31784\n26176 39925\n1941 8049\n21536 26367\n23165 27754\n8165 39365\n24638 33182\n5099 40955\n19111 41658\n28057 37913\n10542 10849\n29743 34424\n2432 32457\n6481 22162\n17219 46963\n5655 31840\n20397 30721\n17572 39336\n9758 33296\n3282 23518\n10211 47967\n23752 30568\n34284 43157\n3483 22989\n7130 26417\n13158 27820\n31395 36346\n29583 40783\n41668 45896\n40833 46449\n6217 37631\n2867 14902\n27658 38123\n34410 43133\n1775 23308\n4356 9556\n19618 45830\n17225 24851\n16377 31077\n18731 42285\n33966 43601\n8408 9049\n16875 45135\n8935 13996\n2408 16984\n18240 47078\n26766 42139\n11527 37460\n23465 39159\n12961 30079\n28488 38929\n15285 26513\n40274 42446\n453 9149\n4112 42263\n4860 40244\n37054 40583\n21411 38235\n5511 26420\n19357 47927\n35970 39643\n27668 29580\n1017 3092\n619 40396\n6631 9125\n14765 18348\n25006 37322\n1560 41251\n11272 32439\n4841 42037\n1775 11980\n5078 12527\n38940 40188\n8333 11017\n39368 48103\n5556 31856\n848 39770\n36719 42902\n15534 29309\n379 42727\n16425 37110\n40955 43120\n18170 37648\n13641 15825\n42367 46249\n163 10328\n1097 27705\n35768 44968\n13185 47672\n21186 39439\n3864 40661\n2535 47709\n8161 39241\n7008 18684\n3539 34898\n3246 34260\n18074 47930\n27820 42371\n10768 14101\n2569 43715\n2113 45762\n13708 23660\n25979 34897\n19665 36436\n14822 30889\n11318 43207\n10188 11817\n49 7389\n20513 32993\n35184 45883\n23907 31371\n14430 31950\n31759 45975\n348 19977\n20808 29873\n8967 28132\n20061 30797\n19035 30584\n8628 20288\n8012 32193\n34186 42625\n9811 23830\n10123 14782\n19907 30758\n7947 46212\n14894 37124\n3063 29818\n24508 33465\n3468 47696\n8290 23400\n12132 32395\n14807 35033\n22796 24585\n18177 40878\n6914 46213\n40939 43112\n37977 45186\n21719 41521\n20376 21476\n13130 35173\n5671 14838\n8769 19886\n4112 34728\n3329 40594\n41157 42138\n8364 42089\n14559 32664\n8982 35744\n30881 36199\n12852 16127\n14889 20366\n15442 29503\n2185 17732\n12197 37244\n39562 42283\n27235 39123\n25996 33784\n32276 35507\n17035 30223\n22396 24419\n26565 32677\n29825 40385\n822 45996\n26677 43365\n1411 45469\n20965 37662\n3457 13263\n5941 20418\n27783 44548\n25974 38294\n29359 42635\n2561 9500\n3019 45935\n38099 46180\n4896 35686\n12355 45557\n15405 18509\n7883 11587\n22583 38833\n29170 37016\n22019 47471\n6609 37180\n28272 28712\n16136 35706\n14125 34045\n721 48598\n41475 48412\n3457 28680\n12099 20028\n3617 17063\n2091 32063\n20799 31068\n20099 41563\n246 28506\n14579 42806\n28152 39060\n7229 17348\n4623 28818\n1945 39488\n1482 32075\n3476 33220\n19490 20844\n32856 34287\n13828 36154\n42784 43275\n7502 21573\n18150 46411\n8324 17711\n3697 29280\n34521 39968\n16573 29248\n32870 45197\n9184 24196\n10155 45533\n26001 33494\n5042 40643\n268 29352\n11880 38347\n34 34593\n21781 40636\n5512 39754\n5202 12298\n28064 48090\n8112 38830\n12082 18721\n4876 23011\n20568 35108\n5094 15122\n1076 26947\n16143 21092\n17447 33327\n7749 39922\n16664 31295\n23405 26098\n44833 45604\n11216 27404\n15143 33623\n23208 29222\n4420 47801\n4982 20316\n11431 23597\n776 15539\n9265 10192\n29586 40444\n2784 25098\n38616 42619\n8498 23083\n41250 44292\n30928 42702\n2272 9443\n13296 32031\n44776 46428\n14292 44871\n21487 22316\n4276 40798\n10962 37202\n6444 16593\n14851 25650\n25448 46135\n14337 31533\n3685 26843\n3961 6977\n14860 46162\n6716 12129\n5900 13015\n23407 45332\n7479 43896\n6493 11186\n15991 42814\n21592 27367\n26348 43774\n5762 26704\n25890 39499\n13481 32248\n3579 23086\n10036 30025\n2599 11522\n9443 19446\n29542 34637\n6932 8757\n9751 24060\n2427 25009\n23621 45175\n8935 23038\n3863 25629\n27931 41132\n22589 26537\n2864 32175\n14751 40134\n33452 34100\n944 27515\n4872 27693\n3169 8924\n13545 36546\n18183 22975\n25277 35622\n12366 26740\n2308 21007\n16756 22227\n6934 27991\n6901 40935\n8438 26789\n28422 29669\n3454 39654\n26173 39620\n18110 40339\n12776 37267\n28806 41283\n1065 41691\n11617 45006\n23750 43707\n22587 38091\n24682 36239\n14118 40425\n31931 47709\n29526 31205\n30091 38958\n6959 34168\n13929 43089\n10315 22464\n19807 33890\n1505 32411\n4022 29936\n237 18447\n3467 46916\n795 28740\n14854 16812\n25232 27928\n17934 46288\n12114 12310\n17416 48220\n31886 38961\n122 968\n8674 26670\n254 13925\n147 44141\n4470 39558\n17670 31540\n19368 27917\n15257 22882\n7665 19997\n4370 16382\n36172 44211\n44008 45311\n16417 36632\n1285 2161\n35019 48650\n25572 28934\n30007 30331\n157 1434\n34378 38451\n12184 30505\n21238 25631\n11352 25625\n5428 29997\n8593 31891\n9563 39214\n10863 13445\n13393 38760\n5500 42488\n7049 44269\n14633 45133\n17626 28529\n29418 46994\n28705 32037\n38111 40841\n36143 38004\n12577 32393\n12072 21674\n16950 23730\n15254 36339\n2585 28749\n12252 38910\n9985 26111\n24277 31413\n16541 45650\n5905 39237\n12044 44059\n20189 27902\n7645 11503\n3308 35869\n6541 13956\n21411 42454\n8111 30633\n181 27610\n14395 15406\n16427 48211\n18885 28801\n10135 10415\n7845 38451\n25530 47051\n1189 1605\n5147 26015\n15875 34247\n22598 47995\n17106 31592\n12058 28056\n6644 23005\n19459 35830\n26657 28014\n16705 23317\n16491 21524\n44376 45930\n549 23100\n3455 34828\n5418 22846\n45936 45981\n39888 48182\n16686 28309\n4618 43484\n14486 37002\n22929 35043\n11960 27294\n35455 40898\n21064 30141\n36725 45761\n2081 10437\n23847 29022\n10481 18781\n16691 36981\n18186 38374\n9550 35938\n36288 41131\n5288 14941\n37905 39198\n3630 39534\n15744 18324\n19704 21859\n12986 25102\n23430 37401\n11948 27657\n33366 34181\n8815 41150\n23134 43983\n9985 12501\n1695 22902\n20994 28989\n22896 28541\n4636 32240\n11717 44434\n1943 24609\n33595 45166\n35157 44250\n5605 41151\n2339 21144\n15996 21507\n15634 17876\n37508 47589\n16354 42873\n34302 44731\n35500 45125\n37172 40945\n16566 28024\n1509 10699\n3955 35387\n9482 29195\n7053 46821\n47905 47967\n9681 13260\n1238 2499\n33691 43737\n630 28286\n29162 41422\n4882 26845\n35930 36584\n1527 23942\n32136 36376\n3341 22990\n11455 28437\n14804 39181\n31500 46918\n8491 38271\n239 15036\n29369 45779\n3305 6998\n31409 46385\n12457 18722\n11423 25016\n26305 47369\n23905 42712\n30083 33565\n28394 39182\n4019 30970\n10647 35440\n18993 38969\n15585 17112\n7237 28447\n4747 38519\n3627 36583\n24058 28036\n5944 20426\n976 5618\n40353 46316\n5201 38374\n12098 24359\n2203 34629\n26485 31364\n14494 45164\n18588 31946\n31158 46954\n8883 21110\n13863 37955\n9187 9414\n5192 5513\n13778 34902\n6914 38249\n11915 41581\n29010 48384\n31538 41272\n30015 32076\n9655 36815\n40887 43859\n13364 35044\n3844 19738\n9408 28519\n39876 44774\n28950 44658\n17337 29054\n13048 32550\n26351 44114\n6544 18983\n10373 26670\n8250 10515\n19329 33820\n11748 21046\n6545 25754\n10973 42542\n4994 39366\n592 39715\n34910 46025\n17539 20324\n15639 48410\n10986 13903\n9303 39317\n22622 42848\n24146 33662\n34437 37053\n3651 23736\n13678 35221\n5610 12232\n14400 18128\n10880 45316\n21978 28749\n6 33253\n7695 33046\n13311 19082\n424 40334\n545 13705\n33392 44318\n6744 21427\n6585 11898\n5668 15788\n639 10101\n22108 45004\n7419 13106\n14959 36036\n5841 35869\n3378 41804\n19683 26880\n2893 33568\n5314 39053\n19854 34091\n2878 8359\n14319 32764\n38119 47028\n21379 36622\n19602 35310\n16936 37872\n24442 36442\n21264 26199\n29063 35475\n2337 26399\n11909 44871\n16549 16855\n8192 10621\n22617 27550\n6718 26523\n32765 43881\n11854 25653\n39821 48570\n11844 39743\n21619 31743\n9949 31650\n19551 28021\n14815 41013\n8991 42077\n588 1355\n5579 38159\n26275 45050\n13429 36387\n47490 48183\n2695 38674\n32980 33868\n4473 28407\n39673 48149\n16125 20255\n15099 21909\n38404 41362\n10389 27861\n5456 36021\n8351 36858\n16050 32335\n21954 31258\n24023 36543\n10132 44502\n13239 22797\n32643 36643\n12711 38317\n20912 38582\n1232 14400\n6125 29356\n32532 45896\n24371 26218\n15670 29477\n16540 27096\n12252 33652\n9653 44894\n36195 38899\n10859 38711\n3635 10672\n21488 36187\n2578 42310\n38460 44848\n6684 22671\n12155 32036\n12288 38747\n14065 26461\n8422 28064\n27553 41030\n7037 21141\n28634 46599\n18672 25792\n7974 18592\n1426 26663\n7867 30115\n44813 48349\n27768 47155\n29315 41988\n5905 12277\n12949 21913\n13013 35160\n21062 22758\n9746 18454\n21441 42461\n43901 44539\n7646 28085\n2039 36916\n18868 30582\n27271 35395\n7525 23671\n13537 47026\n16344 23492\n5381 36198\n866 9851\n18336 40531\n38775 46288\n6542 29120\n757 39811\n36287 39646\n8730 12122\n27997 28390\n9984 10715\n1880 14917\n28133 45828\n31748 35222\n15735 39191\n3487 38637\n26158 26258\n33593 47559\n34364 45602\n9525 30104\n14368 26931\n5289 28748\n27350 46051\n11279 40282\n34391 47397\n33014 34156\n31377 38294\n11120 27150\n2299 44923\n18521 45689\n7587 19927\n21785 37965\n37394 44526\n8696 40225\n29978 46033\n37393 39524\n15174 33658\n19040 44250\n9867 47287\n4959 12625\n24582 47926\n9488 44845\n41250 46324\n17170 46597\n25456 34897\n6636 30349\n7477 37331\n19869 20333\n6564 27236\n11730 35950\n45103 45328\n3124 12989\n10832 42706\n11172 25634\n13775 44187\n3544 24289\n959 1582\n18972 32097\n179 35694\n21654 26861\n20799 22491\n12697 45022\n37644 48300\n3626 27026\n28140 42373\n5356 32197\n4037 47138\n21659 45561\n35819 47988\n13873 45974\n553 1089\n8248 19547\n258 48443\n36790 42819\n4765 11328\n7669 41169\n30345 31355\n7672 30672\n30552 47399\n15181 25398\n12537 15032\n2681 47254\n21612 42787\n401 44536\n11404 25221\n5821 41107\n4394 4627\n4001 43603\n33517 39552\n3995 17775\n7492 22861\n1103 17259\n10680 28259\n512 33844\n26653 34492\n16639 22784\n22234 47099\n14890 42864\n9911 22026\n27668 29604\n37484 44778\n2 45941\n19142 41090\n22771 28603\n18548 46151\n1674 21592\n22097 35423\n4597 39096\n4141 16582\n25813 36598\n17991 39710\n28316 42257\n23378 25442\n20639 24069\n15531 25103\n5987 33279\n4848 27546\n25063 42957\n1012 21436\n11591 32431\n3759 11183\n9817 12490\n30981 38309\n14516 18808\n32002 34493\n3841 11511\n1904 19041\n6906 40010\n14514 25575\n23611 48122\n17188 47961\n13458 28914\n14762 40977\n1634 14285\n20355 28736\n39660 44727\n26757 29770\n464 32340\n21556 47682\n31641 34360\n16326 43457\n423 42283\n4524 21995\n8766 18884\n1955 39263\n6896 25912\n29545 39880\n21462 30758\n8696 15318\n6930 15793\n7770 25532\n13594 22375\n8972 16510\n43959 46928\n21331 44732\n38552 46867\n35412 39668\n8485 30135\n30673 36254\n340 7370\n25219 36638\n26853 40402\n24497 42668\n34835 45732\n176 44520\n27914 36774\n18363 24760\n34471 45309\n6371 13547\n22034 42297\n1508 26776\n20982 31681\n23096 28905\n3562 13274\n28124 43909\n23144 28848\n4855 29575\n15946 36276\n11569 46286\n23884 46790\n1391 48417\n16752 28757\n1286 46791\n15680 45277\n8526 22707\n5842 42909\n7949 48636\n7794 14243\n5836 18847\n21603 40015\n869 35285\n12173 36731\n27430 35985\n9324 27736\n23524 32791\n436 13807\n12661 38050\n28600 33897\n997 10051\n16404 33395\n18791 26613\n18079 20604\n2150 18700\n29024 37332\n23160 27963\n4440 43601\n8130 47316\n916 43500\n13378 18948\n1162 45897\n4463 35485\n5866 30846\n6093 44392\n12197 26796\n13961 21475\n2671 42368\n28940 39497\n1275 10347\n21548 35379\n30245 48635\n7223 33055\n24567 44938\n4430 11673\n911 8660\n1934 14122\n24295 25260\n1129 9726\n3890 22572\n23539 37595\n33854 39803\n19808 28440\n4259 8923\n19367 40445\n2828 12045\n3867 29565\n1203 6830\n5093 42301\n44659 45754\n8408 13082\n31027 34685\n11377 37220\n29377 45620\n23855 28603\n18952 29960\n19325 40628\n17047 47233\n18042 42485\n32798 38967\n42616 43451\n25267 27938\n9088 29934\n28095 33051\n28774 37598\n19102 25867\n17753 33870\n12189 28014\n24792 31443\n9413 18300\n27562 36241\n11188 12712\n16430 48670\n16297 41256\n1134 8762\n2130 34778\n448 18278\n30005 31042\n9055 33083\n11140 47744\n27290 29033\n7975 24237\n6534 40328\n3264 28827\n42424 47783\n22778 44554\n30713 44883\n17288 38521\n505 10073\n20749 46112\n15976 30278\n24532 46284\n16444 20146\n36698 41174\n8619 48479\n127 29675\n676 25118\n2386 19436\n26561 39065\n32814 34242\n8739 10978\n9966 31795\n3478 24296\n5044 41348\n15588 31601\n7982 30347\n14007 26269\n27776 39582\n12595 14807\n4629 21284\n236 26184\n25816 45245\n1337 33145\n46626 47923\n31111 32510\n1165 32834\n23770 31432\n13807 41796\n9985 36040\n14463 42666\n22661 43804\n7663 46600\n5864 30490\n9634 11480\n2651 11752\n35236 48678\n16821 26352\n9836 26686\n37539 46282\n5781 38307\n7456 18608\n17909 45085\n19607 41796\n4128 13270\n3630 43729\n6060 10262\n6339 36738\n2314 40531\n12049 13490\n15762 28136\n16145 48231\n35608 41780\n2051 36515\n2446 32174\n13957 19070\n62 5281\n9070 18276\n25127 39806\n15297 20414\n32472 46922\n4917 35987\n33952 35479\n11088 30691\n33894 39416\n1957 6669\n6131 40777\n29194 33060\n46598 48080\n42497 46688\n4654 16070\n17560 21719\n20437 26729\n13491 26367\n20850 29604\n14929 25015\n7780 45564\n15801 20578\n810 15462\n34477 43694\n27395 29717\n24954 39070\n2274 27371\n17904 34083\n26967 35578\n16470 47324\n21978 33241\n23549 44007\n7192 13750\n14670 20145\n434 22880\n13640 45973\n10597 20718\n24786 41416\n17171 32009\n17122 25563\n350 48628\n25705 27362\n8359 8724\n4597 8144\n6058 34709\n11107 24335\n36408 47507\n19984 43855\n30021 48040\n26608 45148\n35785 40678\n6639 41147\n17134 33337\n22037 45381\n15990 18704\n27670 29362\n3307 35598\n3205 38895\n4124 14253\n39864 43511\n36877 42257\n459 5317\n1595 29178\n3247 46820\n543 11357\n43015 47395\n10653 13714\n10 22794\n10806 22530\n12031 40198\n33435 44721\n29700 38548\n20459 48644\n23941 24076\n10574 41328\n6818 22464\n18077 21824\n16241 17208\n4563 41297\n7056 13232\n17051 40268\n5436 43335\n11373 26587\n11116 35131\n11127 18285\n20277 36353\n22458 33687\n11989 22014\n20258 38413\n22409 35158\n14853 17572\n10218 25849\n13591 17108\n42254 46826\n32570 45579\n9925 40162\n36494 48047\n32136 45696\n26829 31024\n6893 46682\n3754 11736\n130 32141\n24837 34619\n9178 20008\n37464 38220\n42389 42546\n12741 26181\n13262 15522\n16718 41123\n7500 9309\n15194 44633\n21599 36928\n3108 25180\n11549 25684\n13631 15139\n7442 12501\n17232 19733\n19372 27632\n31775 34754\n12530 22084\n4280 5948\n18150 32693\n2762 29007\n19835 29382\n4169 15094\n7123 28773\n2340 33895\n33051 37500\n15707 36688\n8649 11381\n45008 48378\n9549 29133\n16023 46615\n23970 47540\n5093 17061\n6457 35589\n3726 13816\n6914 15992\n16293 25392\n6482 23569\n5278 29113\n10532 32550\n9177 28002\n14267 14303\n335 46993\n16744 21492\n18547 48211\n7674 17461\n9065 19265\n215 17828\n5194 5658\n5090 35427\n1540 29422\n1114 9771\n34311 42229\n37696 42006\n14227 15201\n10242 41272\n10859 24602\n11523 15929\n12139 30073\n2764 24045\n2694 47524\n9055 19767\n14790 28741\n32065 48659\n2054 22373\n33857 40366\n28418 44859\n1867 47407\n26988 36616\n16668 37499\n27558 45971\n21030 38156\n38016 41354\n14500 19478\n19977 40937\n7821 22995\n8665 28822\n885 19708\n989 24640\n14995 30576\n19242 24712\n6664 43408\n21024 33184\n32742 39065\n22724 27993\n6369 45705\n4883 32429\n37299 38206\n18864 29490\n6199 12623\n10676 24746\n21582 47217\n28174 48044\n6253 43478\n10074 24148\n5247 18571\n33456 44140\n9205 35070\n22657 43458\n33662 41651\n18817 46591\n7109 15634\n10549 45660\n25524 44310\n17244 42802\n29151 45334\n6013 10803\n24395 44911\n11868 41752\n10795 19711\n19768 46431\n11925 40339\n27671 30561\n8183 16688\n29460 35259\n19956 32977\n38022 41445\n197 39295\n37528 46613\n8674 36855\n40206 43120\n15159 42038\n37631 44707\n13318 40391\n31574 39172\n14178 18914\n25600 47987\n8831 39426\n16175 39336\n982 25272\n18982 33356\n12168 36368\n4392 45765\n29164 31487\n16321 33227\n30226 46060\n6826 22239\n16129 45932\n26485 35529\n33220 48128\n2083 19245\n17796 39179\n7315 8023\n18629 42172\n21329 41289\n25027 27404\n2433 43048\n9490 12871\n26536 45457\n4270 40876\n9608 37722\n14785 26125\n33675 48463\n40659 47374\n31130 43669\n33685 48213\n22992 42936\n16289 25569\n18561 40666\n12318 19904\n3944 29100\n16034 25953\n16833 43962\n8509 38271\n4589 15857\n7714 10919\n9352 30128\n20692 43570\n7342 20134\n13452 45264\n13819 35275\n9582 37293\n33778 44624\n28365 37952\n14747 15208\n3215 6301\n40326 41395\n2815 44172\n14482 34250\n16647 24550\n5058 10285\n20165 48603\n30650 42714\n23171 23636\n5774 12526\n13443 43911\n20471 37703\n26561 41996\n17536 35968\n32328 47433\n7367 35197\n8067 26916\n36958 42547\n2261 44996\n28701 34061\n3447 39099\n23491 31612\n42547 43661\n6650 36504\n9171 9414\n12785 47278\n7383 41666\n13898 14548\n15751 32620\n44327 48102\n41765 47403\n16550 41155\n13552 21354\n16574 32714\n11491 13838\n6064 40563\n28599 37184\n27551 30116\n5007 27717\n19242 23456\n12356 38733\n12523 44693\n32092 47182\n11125 40752\n28357 35409\n8419 40560\n13348 25576\n13434 46534\n2631 39959\n11898 41094\n38229 40553\n5439 21205\n12890 18007\n39913 42536\n2334 12739\n21540 33677\n21453 26064\n9278 18220\n5229 45025\n3588 35391\n18178 39486\n15486 30148\n15985 30367\n10615 20148\n27621 48374\n26801 46120\n36330 36857\n36006 47473\n4539 16473\n3577 22365\n8823 15860\n19604 34198\n12305 36524\n17944 33388\n18884 46392\n36630 46984\n6898 32571\n23202 29657\n35503 43278\n7099 10130\n898 28008\n275 27123\n24209 28578\n1342 47295\n12426 36239\n76 47774\n41018 43889\n14262 24799\n13799 41340\n10892 37961\n7948 20663\n4625 10309\n15183 44206\n1514 7897\n22520 28519\n13445 17934\n35955 42522\n3609 38013\n2939 32929\n28889 45634\n31237 42612\n30504 36709\n29579 41947\n14116 44893\n39979 48053\n30638 34535\n34164 45143\n30946 47064\n7216 8436\n31894 35036\n9960 37648\n30126 30823\n17300 31371\n12445 34867\n41548 41673\n19489 37289\n10082 47859\n6614 6780\n28037 34874\n25656 33382\n28832 33898\n30990 44557\n32079 43200\n11745 15219\n10760 45720\n5169 27337\n14548 38823\n35245 43731\n1147 39357\n9608 38507\n33016 41327\n14613 45801\n29240 47397\n7313 16858\n4414 7916\n17090 34600\n18465 24555\n24600 42921\n4204 20938\n3720 15683\n17760 33050\n38513 48181\n18841 31412\n6228 26333\n46036 47424\n13064 24672\n1936 10881\n24584 31098\n15231 21587\n26236 28965\n18956 28118\n20276 48307\n17058 42502\n40266 42145\n10961 39065\n10602 45598\n24911 36277\n20108 47002\n9771 12107\n881 5960\n7347 46904\n1717 19696\n3012 29429\n3039 6347\n8382 47691\n3516 40207\n10921 25364\n14671 35071\n15213 27815\n19254 38187\n17525 31817\n1697 34691\n16122 39422\n22835 28177\n11013 14542\n22214 33780\n15661 40735\n11952 28105\n2025 11233\n2805 19490\n11935 35545\n8133 12807\n29045 47691\n9959 19826\n1353 3500\n3751 42298\n25143 41054\n17493 37767\n27556 29233\n26458 28343\n10231 25653\n37468 47840\n13025 22005\n43304 48484\n9480 33912\n19257 25015\n26328 39401\n42050 42140\n1370 7199\n25926 45335\n16045 38424\n9903 46111\n9656 43709\n15652 34856\n311 4073\n11659 42646\n8471 19165\n16440 29097\n8207 36811\n32334 41241\n6558 23577\n16962 20996\n4701 34456\n6556 45877\n9413 48228\n37024 48656\n8532 21708\n152 20273\n4064 18492\n19653 38003\n11096 33020\n12403 32544\n11526 44944\n5512 16307\n17767 35105\n3952 17742\n11080 34068\n3525 17214\n5295 40168\n31307 35451\n40750 46766\n34665 45268\n838 19247\n2688 30055\n4182 4771\n28271 43195\n25681 45356\n39677 46987\n1192 48034\n2969 25057\n7027 41045\n6304 31336\n3930 12557\n4411 27216\n17081 29968\n18978 28499\n35372 46673\n30690 47843\n32231 32864\n2895 3631\n2965 4500\n34176 43282\n17566 17793\n31546 47092\n28672 44560\n36725 44634\n13350 20018\n2114 33479\n23489 31363\n3915 19234\n9458 13343\n15890 40309\n4111 40324\n3075 39444\n15139 27635\n11567 20390\n5192 11571\n98 32129\n5891 39671\n9740 23994\n3702 16055\n1400 27758\n26233 41647\n29810 48662\n19282 23521\n7904 22068\n29206 42251\n15263 44456\n8991 40543\n6353 45774\n4812 15906\n5327 43965\n9556 29156\n9638 36390\n27416 30346\n2546 12370\n2977 46607\n20557 38177\n10568 17485\n33722 47055\n9005 31929\n1057 21786\n6353 15948\n29895 30281\n23145 29588\n18491 26116\n18664 47743\n21970 48060\n18582 36267\n24784 29644\n2433 8267\n1311 19867\n1980 33118\n1948 34304\n27937 39302\n6875 38888\n10404 17519\n10012 37417\n8280 24357\n30603 38431\n15398 43142\n10126 41138\n45783 47288\n11993 35265\n37460 46046\n17018 43899\n28377 47029\n24688 25576\n23918 27180\n8837 36094\n2769 39320\n9435 10112\n7075 47980\n3225 25022\n33327 47993\n36676 42838\n1643 11852\n9887 32217\n17975 35656\n32185 46814\n12011 45781\n1488 16687\n12656 48374\n14547 42765\n3107 37765\n23787 29311\n23847 39011\n8695 44181\n10517 32280\n4231 42938\n33559 38497\n4541 40617\n2059 26631\n26933 33431\n8010 32344\n26332 29275\n4158 28497\n20470 45131\n7771 25246\n43222 44535\n10278 42853\n2929 5722\n23228 47109\n7958 43219\n33107 33552\n5183 38888\n28582 48008\n32420 33857\n14621 37855\n8293 42959\n25728 41962\n14683 47886\n12557 48061\n10359 43534\n33014 42952\n287 39381\n13767 26649\n21195 45316\n4262 22795\n1868 30141\n22616 27929\n3501 14324\n35017 48469\n9082 28615\n27604 33388\n29949 34243\n27153 48438\n24197 30217\n5729 6630\n1627 47577\n12876 16619\n4110 9434\n17996 31645\n33035 48598\n12745 29122\n18750 37100\n19929 39557\n14574 24496\n25134 31614\n931 21491\n1622 42651\n9594 45324\n2419 3411\n10269 48538\n11139 46289\n9861 21521\n1916 15141\n39722 41965\n17511 29932\n43765 44678\n18641 25914\n6776 17182\n6087 40221\n14331 32444\n20287 35985\n9389 19587\n38587 39881\n42200 48355\n7361 7633\n40400 48198\n9868 40750\n30946 37468\n18612 36132\n19243 42401\n31912 43343\n11028 39105\n8743 38782\n4040 28247\n40563 46793\n13823 41894\n28775 47851\n20536 45193\n19810 41235\n3835 48637\n29089 36437\n12514 21623\n4818 17708\n19969 45911\n36809 43623\n10445 39334\n34208 34941\n20681 38264\n17945 36442\n23901 32392\n29665 40325\n24654 37328\n11714 20141\n16029 37998\n15304 31261\n18647 39443\n18694 20520\n10948 47909\n29626 42494\n36806 46696\n19707 21012\n29226 42534\n11370 20591\n38791 39534\n3040 22393\n33035 34551\n8294 21912\n32135 41856\n12577 35742\n38705 47823\n29790 41721\n11782 33960\n32815 37646\n15590 16485\n25765 36796\n4798 47326\n26416 40581\n3440 13609\n7450 11073\n23370 39363\n12286 29416\n8125 40806\n11588 38474\n42509 43101\n8550 20387\n14968 48037\n8975 18091\n1246 8157\n15772 16475\n17805 20847\n1110 28084\n29275 45931\n9662 24591\n28629 41758\n24491 45536\n20377 35808\n24016 25206\n877 10631\n27830 48299\n2761 41041\n19411 48313\n39554 44928\n4507 23209\n5331 9386\n8932 18019\n13301 47246\n18696 34951\n16818 18181\n3674 27008\n31896 46057\n4933 10050\n2409 47163\n26238 35707\n31802 34830\n16212 38839\n6990 45784\n25904 29095\n8074 35232\n3442 10420\n6539 10694\n3956 39874\n28349 44016\n28153 42858\n27926 47535\n27629 36877\n891 27614\n4811 29078\n3057 10343\n5822 39094\n751 34000\n1234 24035\n36129 44003\n19573 47623\n22576 44824\n7695 21382\n44906 47547\n16765 29189\n7840 35165\n6909 41207\n26811 38364\n8904 21758\n1988 40096\n1929 21866\n35365 40597\n856 22711\n15815 28172\n28327 30198\n4710 10068\n5752 47742\n19159 27729\n25492 42244\n1445 46992\n7125 8366\n14279 45250\n28519 41688\n24189 36353\n32630 43612\n17887 40863\n20149 27662\n32389 42289\n8235 47387\n9545 16880\n9291 13746\n8428 13185\n8008 44441\n16404 48207\n9241 9555\n17092 43599\n13811 33854\n5765 6489\n22710 28911\n31602 46887\n2092 27556\n16721 26276\n13039 23153\n13403 18548\n7310 11020\n16724 39682\n1250 37377\n43560 46740\n9824 19010\n6545 35387\n20234 42831\n34360 44819\n1754 28466\n10134 29528\n11254 44196\n7516 13822\n11780 17955\n39138 45549\n27080 36587\n4073 46799\n23364 26738\n6764 28556\n17511 46907\n4310 37085\n7043 37496\n9677 10041\n9860 33960\n31482 31879\n1498 27256\n28466 31905\n175 24332\n9382 35779\n17376 44823\n10346 36958\n3425 39540\n25144 40475\n36148 38113\n911 6732\n28626 30000\n12130 29916\n8725 28648\n1314 6526\n12226 15039\n4859 45137\n11708 43765\n38053 44267\n22986 24592\n29791 39501\n32613 36919\n9506 42765\n157 29759\n19878 27195\n1491 31148\n1357 30511\n7603 8942\n10561 22693\n18221 39499\n5975 45288\n4812 26345\n23034 26937\n22709 36831\n24067 31074\n9913 48253\n9079 41840\n2643 43333\n9189 21352\n17619 18275\n19541 36188\n19490 29389\n29115 43452\n16079 33081\n5517 10872\n3739 43284\n30010 31781\n18658 46008\n3701 32163\n20054 22848\n27573 36496\n39619 45430\n14229 37175\n1768 15158\n2829 14156\n14084 36794\n16604 37328\n24908 36416\n12619 28940\n32436 40626\n7640 45617\n28130 34466\n17219 18209\n5460 32418\n2931 3875\n18160 22012\n3998 29171\n28259 38976\n1502 26657\n10109 31184\n3337 4852\n14153 32499\n26338 31326\n5427 44491\n21008 41781\n2344 11041\n16046 21812\n25391 41989\n15748 46088\n12233 18558\n13368 23724\n13413 41099\n15894 44451\n38206 39526\n24094 36917\n3856 31443\n37093 40035\n934 36309\n24426 27189\n8378 23421\n35303 44040\n9669 40163\n13958 18021\n3511 44346\n15167 40244\n2574 24461\n34940 35251\n9977 31922\n27463 31656\n7110 38238\n1278 32120\n10206 32455\n13342 27604\n20950 39138\n14252 48597\n21635 22041\n9618 20172\n6098 23159\n9048 41559\n31857 37397\n3012 22186\n15359 25339\n24983 47501\n1589 45014\n9517 35271\n2899 28635\n6641 29830\n19601 36638\n3802 4986\n41078 48615\n28267 33096\n18170 19191\n745 5326\n15342 23844\n22159 30804\n30121 44296\n10302 26905\n20892 32064\n43 10301\n1947 43614\n33648 45648\n28755 39080\n9155 42565\n32995 36580\n7424 44155\n24985 45046\n22778 31778\n38673 43818\n9674 17021\n12027 20027\n9914 13812\n27826 46436\n40580 46917\n5816 12766\n17404 22667\n9530 38557\n6262 22281\n9741 40596\n33907 41730\n40431 48619\n8067 23271\n20913 24632\n4056 26026\n27799 30153\n14843 44478\n18960 27780\n18104 27883\n2520 37783\n13933 32133\n17690 20432\n10710 33391\n10221 25695\n8837 46012\n36028 42289\n21072 33041\n4746 30309\n11038 23987\n9338 24786\n8624 11963\n5790 20622\n585 11209\n21298 24747\n21449 43228\n12529 38535\n32396 33507\n21015 42989\n13682 28404\n31825 44806\n25939 28742\n20531 29198\n2042 11986\n7179 36854\n4 35223\n15801 27313\n29905 41455\n5840 20970\n9631 22607\n24574 39221\n37527 45801\n18261 24873\n21308 24480\n1347 8474\n18651 46653\n32688 36320\n9671 18218\n6852 46251\n1329 34375\n21155 37482\n8944 29363\n13376 33737\n28090 33056\n1564 32822\n7859 43652\n26629 39240\n889 11050\n30601 35882\n17223 20175\n14727 32443\n10333 42938\n27608 40068\n7551 31615\n19635 21052\n19081 42651\n8099 37114\n19494 27586\n12112 20109\n16518 41781\n21288 44266\n35513 35698\n668 11650\n20866 25723\n31743 35442\n14050 34253\n10370 18742\n33257 36865\n18158 45989\n7004 47961\n10755 41569\n39370 40544\n13655 38695\n18291 27422\n24336 27819\n9631 46283\n34419 42631\n25304 28464\n44325 44715\n25882 48465\n32 7224\n336 34012\n16189 48611\n7116 47081\n1789 25074\n10202 39756\n35105 44328\n17123 29786\n24351 40107\n18724 47186\n7728 32970\n15958 22036\n29519 46047\n3016 46912\n25081 43469\n7497 23016\n37271 43163\n22294 23066\n9011 21324\n33537 48333\n19643 36844\n13806 40576\n11020 41397\n10629 26030\n19327 26853\n24000 27482\n32411 42544\n26029 29683\n16771 34437\n20597 40158\n9148 24674\n4257 30142\n17082 18655\n10121 10410\n1779 30912\n14618 46310\n18362 19345\n19453 33899\n20119 26494\n11005 31172\n7277 42534\n19 42799\n12754 13884\n11008 23988\n19954 37511\n8991 38354\n31005 39060\n3388 5029\n20543 30001\n8743 45907\n664 15140\n15010 26551\n24358 40233\n2294 10043\n34491 43142\n164 40228\n5995 20222\n34139 40220\n1717 30693\n1440 38987\n3321 14136\n5023 13641\n9159 28340\n1970 41399\n40173 44037\n24702 43230\n9659 19991\n30703 37363\n24556 33435\n13045 34255\n10925 27049\n605 46248\n19235 41241\n3691 28695\n20785 28617\n19663 45631\n6773 45291\n888 29597\n17016 33043\n18452 42567\n28713 36633\n13138 19265\n1045 40204\n15080 35749\n14161 48473\n2253 17115\n1805 45659\n10984 41173\n1540 25109\n28572 29123\n25260 36388\n13108 47743\n28311 48599\n14593 27120\n721 16172\n6377 34220\n33382 34889\n38429 43244\n13673 30396\n2357 15892\n37449 43557\n27370 34598\n7635 34386\n44806 46933\n9634 46464\n4076 19301\n9887 34429\n20443 28998\n30265 40568\n12519 43783\n5932 38183\n12621 35826\n15898 25029\n6092 20033\n9938 32755\n12213 31370\n11120 40929\n26488 43644\n30389 37349\n3633 17431\n39063 45125\n35099 36939\n9325 19896\n10967 27548\n16707 43483\n3985 21903\n46478 47877\n1159 17331\n9341 30931\n22799 28493\n1316 6895\n3849 9787\n15966 37127\n4447 8683\n18186 24832\n11905 41157\n29994 31745\n4140 33554\n13304 31704\n3509 46468\n20920 46838\n6314 16807\n4885 27257\n32046 43715\n8367 38023\n7670 15811\n17648 27182\n35658 45921\n1231 30339\n15131 30573\n1755 30987\n21094 31891\n9941 40991\n8951 15534\n38192 45481\n45982 48499\n20283 32287\n39059 42798\n31159 38558\n23881 29452\n19066 37564\n60 36077\n34772 37462\n928 45776\n11944 16310\n20569 22406\n9910 31555\n22040 37618\n15858 47849\n38156 43565\n20626 21174\n5068 21614\n12816 35942\n12998 18060\n17883 39809\n13002 25805\n31996 33709\n5569 13261\n12292 18718\n7146 26483\n647 6468\n17534 19810\n26888 34724\n18522 25141\n36817 46461\n39820 47305\n26032 37163\n15875 39988\n21867 42290\n19888 24254\n16677 37608\n17656 43562\n28990 39479\n1919 6937\n6265 30233\n10833 44974\n3943 18812\n14397 23191\n10482 31960\n2751 27806\n18193 36485\n12446 41522\n21831 34603\n22550 45432\n9871 29379\n25037 37711\n20491 41365\n9604 20253\n3342 34385\n10779 28392\n21911 42938\n17244 38960\n8940 17034\n19842 31560\n9381 20927\n35060 40123\n6676 30543\n17795 40553\n10743 46715\n30018 33529\n3650 10886\n3154 4478\n39573 44330\n22612 47830\n25096 43331\n26782 39921\n1631 18604\n4283 44840\n17252 36494\n29606 42682\n23907 43412\n19395 39830\n237 37083\n17440 36694\n16723 29834\n10390 48425\n22879 39480\n1282 25914\n19841 30674\n2918 43771\n12605 34940\n8918 16708\n15511 37962\n3337 12081\n14986 47596\n15569 37212\n25221 41782\n17073 40399\n41975 44055\n9948 17897\n7695 44347\n28499 33448\n2843 24164\n3338 47061\n3999 6162\n17751 48431\n7516 24521\n12483 22482\n961 14023\n2550 36043\n18818 34906\n26002 46873\n44697 48227\n705 45533\n2364 41720\n39276 39691\n24817 31498\n32096 33056\n16287 48130\n22303 31176\n1120 15310\n26081 42078\n3184 13254\n5300 18288\n22302 31571\n14499 20184\n20270 26429\n1572 13438\n2166 26824\n16876 19026\n3849 40111\n7006 11022\n19290 38990\n24730 34464\n7931 42136\n4193 29724\n32570 46100\n27344 36603\n18177 42940\n4179 40561\n41198 43442\n14537 22639\n13778 33162\n13541 33703\n33282 43721\n8734 12762\n18373 38727\n3261 6516\n13381 19731\n1728 39853\n7638 12224\n19300 47398\n23609 26581\n18639 26090\n926 11568\n21614 39887\n19802 34859\n20108 32158\n35925 41441\n9834 12886\n34668 46311\n33428 45491\n5422 26923\n24059 45833\n4545 25832\n23689 25663\n12228 16903\n3481 7353\n32611 46099\n40869 47135\n10327 48117\n12929 19460\n3359 18145\n31483 47863\n11825 29223\n3303 25027\n15961 44610\n18504 34591\n42636 46067\n3397 12846\n8315 25210\n8799 25854\n34250 40974\n3902 35014\n8779 12198\n3895 21580\n1313 30712\n5036 22214\n25060 39680\n7385 43568\n9999 31523\n14393 27650\n34058 40107\n16024 18831\n32937 34263\n24095 37680\n26341 33419\n6274 35701\n12835 45406\n36429 36477\n7898 29681\n16415 48335\n1678 5953\n4874 15067\n12261 43505\n25445 47971\n24855 28263\n5597 21626\n19851 24577\n28565 39162\n14868 33069\n27311 40951\n13672 25215\n38269 47264\n7609 46422\n31000 33230\n12739 23478\n4640 17229\n41487 45346\n18778 25107\n16351 45209\n31119 44395\n10288 16886\n18045 39212\n14184 14796\n32137 41082\n18214 30344\n1171 40265\n30214 32871\n20534 35846\n16712 44551\n16632 28971\n1859 48095\n30053 39241\n1284 7802\n20412 34105\n10226 40894\n229 1145\n2867 39315\n14406 35251\n1157 4545\n7436 33828\n7968 13018\n6854 48658\n2060 45161\n28815 47927\n12419 33221\n331 24081\n28079 33990\n26664 31238\n34371 45074\n10184 29122\n1970 4202\n4673 16031\n17532 29768\n13184 23268\n7274 31077\n28244 31902\n34118 39007\n23283 44603\n8793 19639\n32744 42945\n28831 32182\n3445 29757\n45204 48364\n24755 33257\n29540 32143\n1682 6409\n32558 46932\n15032 48519\n32813 43798\n1233 16983\n9747 19980\n16529 17391\n10657 33758\n22952 36861\n24209 43220\n16042 32549\n27679 45681\n34272 39080\n2073 41114\n40888 47288\n3007 27433\n15510 26236\n11934 48347\n23071 31502\n11917 47218\n3282 40754\n20546 40672\n28524 41792\n10111 26890\n41654 47177\n19342 39068\n9283 26475\n16154 47183\n22434 34464\n29705 31638\n2254 45779\n9677 16216\n35662 40064\n30729 44859\n28482 44602\n26116 36196\n34605 45939\n24523 25208\n16078 20874\n24166 44268\n12424 27420\n4810 42946\n16343 41960\n7609 30316\n11549 30201\n5176 44111\n24623 35933\n17326 33467\n6263 45204\n41096 46665\n136 34957\n31580 41272\n10696 45346\n30436 43295\n10110 39677\n699 34077\n14255 17404\n9694 47035\n8779 16360\n4561 7765\n9501 15948\n9391 19822\n13179 42610\n30012 30697\n11843 40654\n37811 40002\n11561 38447\n28683 40234\n10438 48388\n21812 37737\n12905 21232\n19202 25162\n30104 42600\n28992 46341\n2902 18642\n4506 6105\n3088 35846\n24091 26817\n26846 47947\n11401 39165\n29765 43823\n25294 25358\n18438 43465\n13194 22994\n5388 31855\n12486 20008\n5959 30121\n3244 18729\n10468 16165\n7389 44735\n1340 26173\n38172 42147\n7157 15500\n3324 47894\n17816 22630\n17612 45978\n37430 42033\n1973 18818\n27917 33447\n20373 44957\n14957 15420\n3600 22134\n11015 20177\n7000 11436\n25797 44210\n2520 5802\n31393 38044\n12018 41774\n2626 44546\n8782 39718\n32963 42596\n2600 45089\n5316 24804\n1992 27242\n13347 42505\n11157 38316\n30102 34478\n16496 17049\n10169 30677\n13336 33390\n41438 44942\n2276 3850\n44415 45270\n4609 22084\n41234 48641\n2972 3789\n3118 15297\n7583 27221\n20941 46644\n515 26046\n25295 40717\n24647 33360\n24922 47112\n1462 36851\n29120 35371\n5379 35697\n13318 39955\n9013 28373\n31607 33483\n41008 48611\n13412 20948\n9062 33477\n21202 28998\n9895 14283\n8888 45853\n9000 22311\n14656 36877\n20076 27298\n10077 33975\n25375 31439\n6423 35716\n35004 41761\n7765 39993\n8257 22803\n32002 40973\n29559 37926\n20447 41114\n21147 43996\n25556 36528\n29887 41310\n21581 24875\n6103 30403\n2989 20752\n138 42954\n5893 37486\n26495 35606\n7035 32985\n33936 35793\n4440 35007\n21441 29265\n12687 28873\n13584 25783\n17864 33283\n11293 14067\n14465 46767\n42000 43975\n40250 41153\n8552 17512\n22082 33863\n11075 45946\n15295 17316\n4486 24750\n7908 44261\n8533 36457\n12365 32411\n21807 30578\n15397 17283\n868 40081\n9739 30541\n30697 40597\n10882 25596\n15032 34040\n20602 27306\n2117 47105\n7745 18812\n26955 39800\n16880 44827\n16679 28343\n25510 45929\n5232 15504\n16707 48422\n18694 30726\n15415 28569\n40559 44936\n18543 45286\n17869 28331\n675 44912\n28288 45160\n3301 37020\n23889 43782\n42905 43349\n17781 33723\n10325 43767\n987 26259\n14784 19501\n10349 25817\n9346 46377\n21219 28806\n5589 19857\n1261 42762\n38772 47626\n35834 47597\n7032 13489\n25254 37033\n5786 20806\n33384 37423\n37529 43643\n14302 26147\n21244 39957\n19214 23651\n9174 31036\n16933 19545\n36271 44968\n37016 45150\n16225 47989\n25581 33524\n10582 39825\n18089 29688\n41405 46907\n6862 29793\n34697 43763\n23001 28573\n45337 46439\n29116 48368\n20131 46731\n20734 34897\n5810 25802\n4669 10736\n140 12693\n22522 45193\n4635 5859\n32697 33250\n22332 24128\n12736 36101\n14202 43978\n35034 40952\n11312 24028\n39778 46880\n6023 15688\n32624 40497\n37172 40499\n9977 39266\n5423 17710\n8641 27790\n2615 26817\n11493 13690\n17197 32668\n26096 42362\n42002 48607\n21460 42382\n13308 36907\n6805 19949\n32425 36141\n21391 47551\n31353 40048\n9191 9449\n9838 29775\n8527 8764\n4649 24658\n30755 37375\n37842 44561\n6926 17007\n12379 48585\n1701 26259\n20892 34176\n20225 37449\n381 8297\n3993 18390\n8608 34651\n23722 36451\n15821 20404\n22090 23226\n3800 24564\n106 36657\n1600 18230\n30099 35926\n24345 32994\n21576 44923\n10660 25077\n16535 21183\n17923 34266\n8980 35182\n31801 34039\n16163 27111\n23615 47130\n32584 39576\n13481 47766\n23650 40905\n32056 45970\n4659 24750\n6179 32656\n12811 36647\n930 33892\n21362 34302\n12422 19355\n35226 37048\n21425 35800\n8865 48412\n42991 47029\n21605 26735\n4483 40420\n35051 36822\n24370 31720\n18010 36040\n6129 33059\n32487 36540\n4657 7113\n31465 47988\n5749 16633\n26160 38567\n468 21974\n13776 20179\n9813 14718\n7712 42807\n39852 47858\n3902 43801\n22047 34429\n24333 39808\n16206 18418\n20854 25875\n1494 31557\n21801 23367\n19215 27397\n1298 28229\n172 26934\n28141 44186\n4935 35209\n28652 32403\n1979 48136\n17421 40625\n18892 37085\n503 1690\n977 42370\n22536 27266\n11387 40243\n24633 44013\n3056 14029\n24605 44825\n3863 6882\n17430 40374\n7420 31235\n19404 44891\n17115 17364\n2438 48057\n668 23778\n34953 46449\n4533 32891\n27055 28656\n10792 46100\n9213 26810\n20151 34155\n1467 47926\n927 2388\n29387 48571\n38074 41127\n23499 43395\n15953 40606\n23474 41538\n37010 47300\n6775 47972\n35876 42989\n31579 32103\n14800 39156\n26882 42090\n152 29757\n7307 24571\n22401 47554\n2528 37659\n18577 33640\n26563 27765\n3238 20742\n11710 37002\n30953 40100\n8592 46438\n13225 24980\n5392 13966\n16890 16915\n17794 38912\n43126 45995\n33930 34066\n14987 33608\n7987 8367\n28323 40774\n10266 42675\n7264 15638\n31891 46983\n25935 44467\n6156 38281\n6521 13489\n6237 16982\n17072 17906\n22691 30398\n15138 40308\n10188 28725\n27546 42090\n19328 39410\n25126 28978\n19390 21061\n8896 37388\n18720 23740\n10388 25957\n36722 43677\n40052 45074\n38809 41927\n33556 46913\n3616 44766\n22102 30097\n28159 48613\n13942 31991\n20411 40264\n20261 48010\n26685 48042\n15253 17472\n24919 25793\n32651 43230\n28903 32754\n14216 29566\n37482 39611\n6775 27919\n36618 41263\n4866 6565\n15069 25290\n5095 42469\n14816 23467\n18346 45151\n19535 48147\n17431 29214\n24609 27818\n6217 24135\n3966 18925\n17512 30266\n3629 28467\n4813 42690\n8323 38472\n33351 48075\n27390 37865\n8261 44751\n5397 45964\n24589 47916\n21691 28873\n15218 45410\n44943 47668\n9416 37957\n4868 25400\n21169 39303\n35948 46156\n6809 34106\n12611 40254\n5798 19573\n20796 24024\n15774 21738\n8992 25995\n7263 48017\n13668 44957\n7898 37090\n2120 7176\n8396 13036\n30486 34294\n33293 35579\n2004 44650\n3488 11318\n26718 27470\n31798 40825\n24311 24377\n6096 41699\n14062 44504\n7010 19011\n6656 36408\n28704 35165\n1692 26096\n19902 27099\n22572 46907\n17180 21862\n1499 37418\n14073 15903\n20391 45008\n8014 18034\n35738 40509\n30360 32469\n440 46277\n8794 23588\n16251 18087\n9687 12399\n19896 38227\n3059 18885\n18781 39928\n16880 28520\n43148 43403\n5569 42606\n7701 7824\n12698 31574\n7556 48458\n19459 47179\n9330 32903\n2435 7974\n17731 36959\n26593 28312\n3510 24922\n23479 23527\n10458 32991\n5150 17315\n7919 35059\n17680 46302\n2984 26275\n10134 33746\n9445 12430\n5675 8011\n28142 30832\n690 16144\n7785 18823\n38642 39377\n14935 39829\n17532 29655\n13355 22724\n27547 46583\n12054 39029\n3139 7733\n29439 30585\n8141 14377\n20391 31907\n3209 34041\n11959 36492\n29357 36656\n18486 39627\n19932 27192\n2149 45603\n7266 15731\n32114 46759\n10726 43609\n39513 41530\n26800 29752\n33188 41350\n9286 27061\n40081 42001\n11015 21430\n17223 28711\n1366 7477\n7252 9403\n9167 17087\n1948 32936\n7064 34350\n6828 32569\n3674 32644\n17892 47013\n11546 27037\n29001 44981\n13298 36229\n12914 21198\n12312 30570\n14934 42078\n25977 47987\n5293 10957\n3738 20171\n19527 38201\n34106 47487\n16613 37861\n18645 36025\n26195 31775\n43741 45764\n6163 19955\n29596 46732\n6776 42270\n8858 41363\n21576 27169\n16286 36981\n6908 30844\n22578 39468\n17387 19487\n3791 39297\n23706 39722\n8710 13389\n14295 19977\n19456 21811\n8209 27788\n21137 45038\n30867 46883\n26867 28780\n15502 17969\n30482 46877\n22851 35719\n37341 38937\n39484 46310\n9923 24457\n12996 37457\n14814 34090\n20051 48611\n15672 33893\n2784 18502\n12676 47821\n22993 48054\n40707 41803\n30577 35803\n5871 47931\n899 5868\n2793 18235\n36873 40918\n13493 16131\n13526 13776\n8442 19052\n19277 35859\n41777 45820\n38686 47651\n18335 40094\n18655 20326\n10176 46311\n2881 12203\n5149 37547\n3571 48628\n5088 7479\n40192 42664\n30021 47307\n3948 30163\n13036 47602\n18785 39486\n5304 29797\n2382 36114\n2264 29373\n11757 29207\n6994 12181\n677 10361\n22377 35000\n9691 21708\n7593 31900\n32439 36604\n21727 37841\n7916 14755\n16355 46932\n29596 47870\n28058 47802\n17112 25082\n3341 20248\n16400 23624\n5886 38874\n29896 42798\n38838 40499\n563 42487\n12789 34548\n14088 41717\n21674 35829\n19804 32088\n3512 23568\n37254 42300\n7649 39460\n19131 24606\n21371 35482\n5916 39759\n22160 45547\n17450 28770\n30515 35679\n33004 35653\n25535 29997\n965 29266\n19008 23709\n15503 22909\n12706 40632\n2150 24124\n6845 31361\n24921 29387\n1697 43255\n45233 47669\n25095 31950\n23597 36693\n9314 31013\n38991 45918\n7874 11027\n11473 40004\n40614 46226\n28705 31915\n11569 12331\n5202 44737\n14453 18683\n9124 29628\n18713 41520\n42770 46259\n19316 29812\n11867 41574\n6069 42333\n18396 31193\n6103 9537\n12607 29734\n27707 36504\n5472 12535\n14591 39428\n16138 36514\n13625 37210\n37765 43751\n23303 46759\n34242 48178\n19121 21389\n6212 14386\n22281 26303\n33209 44988\n22098 32339\n24215 40445\n8140 11431\n25391 34424\n27659 35055\n29634 46805\n29172 43969\n28310 32560\n4434 6328\n3436 38239\n12962 36947\n10703 15387\n32909 38181\n27455 34921\n7176 38928\n3697 25851\n4109 9954\n5513 32225\n522 30729\n30143 41809\n27100 37333\n18043 19640\n33570 41881\n5656 25295\n27093 28855\n13738 35384\n14157 22315\n7830 14034\n12974 14527\n29685 36438\n1456 4524\n26208 32987\n7193 37109\n13166 34443\n31158 32317\n29886 35145\n16305 42292\n14883 15005\n5068 38463\n304 26672\n35053 42400\n5485 11888\n13084 36197\n38022 42969\n18704 45635\n22365 36124\n10311 35148\n16908 24674\n28105 32368\n11772 40331\n2448 13461\n14114 41152\n13096 26537\n20176 43690\n8383 36723\n7799 25952\n23955 39028\n20324 25410\n4409 42209\n3037 35699\n43976 48153\n7573 16647\n15049 37787\n510 33311\n2482 23678\n25467 38438\n23125 48556\n9974 15482\n15090 35834\n7023 17318\n22052 25201\n7871 25645\n14209 47773\n31086 45313\n11973 34653\n21415 40844\n2731 18464\n7880 27810\n2216 21347\n2878 7162\n17642 36563\n32871 36831\n524 11935\n19356 41727\n29278 35293\n5791 8255\n4654 13611\n2037 25424\n11993 22403\n3007 16287\n4714 11520\n18494 35242\n21527 40352\n12869 41338\n14073 40040\n24318 25934\n268 505\n28517 32367\n28835 32381\n34994 45671\n4875 43558\n26010 36992\n4443 40035\n11505 28866\n12488 25193\n26193 30653\n4175 10926\n31534 40559\n7623 27564\n29185 48208\n5966 29306\n24742 43690\n12892 27341\n3958 31486\n32261 37467\n33547 44322\n6904 43376\n10499 33237\n26244 29504\n8742 27894\n8911 44606\n14602 31513\n19636 39962\n6467 21594\n16754 23122\n17725 30838\n33874 44616\n7582 15428\n823 13131\n18494 31109\n6063 11550\n25065 32604\n590 42537\n16388 39487\n31870 45195\n39383 41556\n6956 31032\n3739 19607\n15459 40039\n24262 34288\n4674 39603\n6303 25949\n3946 41638\n8597 37891\n16995 38021\n19376 23394\n22984 25635\n6777 12663\n16760 24590\n7702 47996\n1005 6586\n32740 38061\n37562 39329\n8540 13465\n15553 27649\n3820 16725\n39092 39223\n4567 28758\n445 20648\n23115 27424\n15927 47429\n673 23469\n26862 31989\n18344 34442\n16576 37870\n20457 46410\n34539 43049\n8045 22129\n31568 36139\n11589 12812\n36935 45110\n13324 19052\n24831 39554\n373 40436\n13892 43480\n3867 4450\n6960 43542\n9919 13695\n8225 27779\n17140 20833\n1073 5559\n3049 42890\n28394 31254\n3136 27398\n41362 43592\n11351 32671\n11934 26454\n10873 16703\n11413 27770\n34459 47026\n18156 24901\n23115 47715\n23751 41353\n1224 7198\n15225 29108\n1779 24203\n6017 30286\n34767 48250\n38050 39459\n22765 31859\n8029 20164\n786 5304\n7841 16921\n31828 45631\n28432 28845\n26003 35838\n583 31805\n31715 43457\n14030 20841\n7958 29935\n9621 15759\n29346 33748\n23943 26332\n13465 36309\n1829 34465\n3739 13329\n11144 39969\n24755 36558\n12754 25850\n2473 42335\n9240 28407\n19164 21491\n20820 41919\n24096 27937\n9127 9457\n35786 44018\n1602 33295\n11289 35288\n28655 30322\n27672 47193\n15059 47172\n35556 37737\n24195 25431\n8000 19572\n1647 8938\n9755 48120\n2604 43503\n12926 47511\n9195 37732\n21519 46015\n1200 33653\n30979 46817\n2740 20700\n9200 43774\n12388 22203\n12003 43840\n13768 48169\n7471 33425\n5682 34394\n23216 24564\n11533 28999\n27066 45340\n27296 34831\n23047 42508\n18563 47723\n16996 27308\n24139 25988\n32277 32349\n2850 26210\n34475 42754\n7895 10378\n18338 48180\n4231 38301\n2927 12262\n5935 32936\n9792 14968\n10665 21591\n510 21706\n34797 41740\n27369 45573\n15736 22397\n21602 38755\n4664 14323\n11901 32478\n33162 40983\n4302 7419\n8371 34308\n10110 23698\n27482 29887\n38122 39090\n40283 42063\n6252 45107\n5236 13673\n17057 44430\n37621 37802\n2741 5999\n44046 47677\n15834 29346\n24742 33285\n3385 22085\n18381 29358\n2939 38983\n40178 48235\n21406 43218\n2133 29498\n19620 41358\n44442 46135\n5000 12932\n20943 28724\n5206 32483\n22407 29132\n7178 29805\n19362 30452\n35118 39585\n23305 38040\n20022 28808\n15838 21494\n15715 30633\n18279 20043\n17588 44773\n5109 20028\n11432 39196\n20943 30532\n9 3916\n18347 46170\n1316 10118\n5577 11349\n18113 36293\n10447 16133\n1650 5329\n41554 46444\n17495 25523\n11604 32408\n34835 36425\n3518 16706\n31251 36433\n11805 43695\n22200 31901\n3292 3523\n10478 34084\n12119 34486\n17568 37390\n5102 27423\n3477 19973\n693 42444\n16565 18507\n621 32598\n18811 23223\n25708 46368\n6098 30017\n248 26292\n8160 35403\n13605 43650\n9699 40682\n6088 29187\n23108 23617\n33876 44480\n6685 38701\n20773 21920\n36845 43784\n32988 40125\n3818 47783\n1416 28607\n21390 39750\n12245 40350\n37330 40002\n19252 38370\n1042 5241\n31916 40394\n7580 18076\n4999 14138\n313 41371\n10991 33896\n30452 39286\n7296 40058\n17918 28086\n28194 40190\n21251 42463\n30332 43570\n15230 27116\n32736 35974\n21960 35238\n6481 27909\n19474 41187\n15928 36731\n13860 34151\n26985 44955\n4227 30657\n5725 20270\n20366 28224\n18285 31234\n21592 28049\n23750 24861\n6176 27949\n29852 35376\n13822 44696\n7750 16594\n32331 42643\n41477 46173\n7307 17884\n8899 19160\n9259 25964\n4543 45546\n9425 15479\n5938 31683\n25363 46675\n17488 21316\n271 37355\n2795 9842\n4787 48526\n15474 30634\n22491 46990\n5178 11393\n2603 44967\n13884 42871\n17252 40519\n40396 41982\n3409 15720\n9271 17378\n10210 21878\n588 43076\n12864 36450\n32840 39583\n31330 36546\n14819 20973\n1139 15137\n6313 10736\n10938 32261\n31274 34254\n4161 46319\n8861 33130\n620 33707\n9644 43976\n25809 30727\n985 35162\n13289 26933\n44410 44414\n39029 47683\n16811 31164\n11476 12996\n27511 45636\n9784 16699\n3707 32782\n26169 36180\n12484 46390\n13056 29223\n11608 48465\n25095 41117\n38564 40153\n451 34297\n20915 42448\n5092 19001\n3001 28029\n2569 2786\n17194 19816\n4151 10364\n39621 43606\n11537 12083\n7224 19121\n5693 46075\n3726 18977\n6583 33205\n11039 14541\n8911 42864\n10751 18011\n7066 38525\n36353 45670\n23974 31925\n27729 29302\n19363 21429\n3779 12899\n34571 39281\n1970 31690\n15836 17753\n434 7140\n4810 18822\n25862 38406\n8119 20695\n9021 26067\n5916 12026\n9565 47297\n1167 23575\n29621 39815\n167 8728\n34377 43783\n9520 38535\n23447 43346\n7198 23584\n11373 12846\n16475 23972\n27814 42335\n30460 35093\n20717 21086\n37333 40831\n30437 47214\n13881 19912\n17869 19895\n35157 40340\n7082 12245\n4707 26847\n2561 2843\n11351 32935\n1743 23648\n21574 40791\n8204 42899\n10258 47244\n8150 39412\n17835 36988\n34620 37848\n22550 28462\n38860 44270\n7976 46534\n9758 41065\n2879 26787\n3687 30815\n17058 32255\n41083 43235\n37887 45009\n21868 25880\n30415 32925\n12954 31213\n13445 47830\n14233 37393\n30685 31871\n8173 40552\n1196 2150\n15355 42115\n771 1214\n11502 12920\n9393 47313\n26813 38076\n28223 36518\n18365 36244\n17643 41484\n28290 46368\n10144 12265\n15647 23040\n19050 23997\n32501 35969\n2201 37048\n25962 34181\n196 7256\n11752 16986\n10242 12542\n323 15644\n32699 44233\n31606 34554\n26649 40746\n14719 20644\n8489 29097\n8499 47594\n14468 36532\n2281 28486\n17114 21603\n2681 14256\n2594 48590\n42944 47769\n43381 47771\n22519 22985\n2899 43464\n26436 44964\n18550 29421\n44279 45951\n34978 38364\n16835 31986\n10830 21597\n25648 39420\n11685 33678\n7747 44173\n24915 31932\n12058 23639\n396 25075\n4881 40636\n12082 15992\n29478 38241\n21134 24765\n8730 16247\n36228 36300\n14782 15599\n27413 29452\n2493 10014\n21059 33500\n27633 32459\n29619 48238\n32039 32647\n8504 36649\n19878 26506\n10439 10649\n5594 39205\n14103 14573\n16855 18373\n326 13472\n22055 38738\n11036 41560\n5997 14137\n19770 21698\n5174 28425\n8757 15386\n14804 26041\n15771 32841\n8156 21427\n11905 17198\n14165 41829\n29712 47297\n15301 31143\n11421 17551\n43882 46495\n3839 20730\n1849 2991\n24790 30038\n11753 41229\n486 3619\n27344 29109\n13083 30499\n30724 36473\n16490 28741\n26614 45892\n20960 38601\n17009 32625\n21124 22233\n6473 15547\n34149 37878\n31836 33113\n36816 45091\n24340 32228\n8340 22234\n26142 33129\n12626 19846\n25048 36542\n33474 40744\n6103 19085\n8198 20244\n9545 43460\n5959 23165\n10994 21545\n813 7754\n7559 34462\n3160 20988\n31230 35653\n16125 31504\n17596 47461\n27241 29769\n35439 44046\n3871 15363\n24289 32859\n14179 46735\n13017 31566\n8983 15453\n42874 47408\n12518 21795\n9755 17940\n27997 34046\n4318 35182\n4498 32386\n2214 34627\n9694 42968\n17149 48304\n530 42996\n3542 41391\n9346 41792\n6857 33986\n5747 14010\n36620 44883\n5354 17229\n19159 42880\n6798 23073\n9095 11007\n25162 40730\n36570 37546\n12739 31729\n8810 35869\n22993 29054\n19630 43078\n12386 23870\n9466 23866\n10342 41802\n5098 5842\n4548 45847\n30040 40872\n13750 14427\n26601 34416\n25244 28970\n31382 48097\n2077 4798\n1523 22046\n13746 42267\n20623 40252\n14035 38052\n36420 43692\n2985 38885\n29030 46694\n299 41237\n10464 38496\n31366 34112\n36162 37092\n43761 44117\n8989 39112\n41042 42336\n31705 34358\n14949 42627\n15050 17600\n3383 16118\n30667 39607\n779 24544\n14270 29907\n108 33313\n12192 19189\n9004 30864\n1253 19163\n30 40408\n2288 37935\n10615 39820\n19313 26119\n6405 10933\n31268 32938\n15784 33884\n10678 36016\n10231 14165\n3384 32457\n35137 41717\n7545 32494\n7566 16675\n38077 42949\n12045 23343\n31679 38417\n22459 42964\n45193 47068\n12109 22193\n16518 22147\n1455 45522\n33528 46955\n20350 27682\n31881 43635\n13391 42417\n16405 22437\n11303 20425\n10818 45330\n9141 20192\n30830 38812\n21469 25465\n8275 29739\n5536 36755\n5774 12446\n10135 14925\n5116 37927\n17334 29508\n6554 41459\n3022 41087\n2973 21906\n31684 43165\n23056 23932\n4493 32330\n1643 11216\n33212 44464\n13118 25741\n32941 34615\n29220 42712\n39424 42300\n19457 21793\n44097 46147\n14422 18459\n23234 28183\n16958 37181\n23997 48230\n4496 16502\n14997 21017\n13926 16933\n4028 30797\n6427 14226\n2748 25103\n8346 9981\n17328 25572\n21991 36458\n17048 19694\n7204 32425\n2473 27707\n29809 31093\n15106 27644\n27039 38946\n37143 41988\n7196 8309\n16992 19823\n19700 29347\n17984 22790\n14247 28679\n32713 40193\n17083 43963\n3945 42519\n4312 6704\n12989 14531\n2475 36391\n4946 32592\n11037 28140\n5858 25486\n18300 38307\n20934 46312\n4289 8112\n10303 11767\n9240 41967\n7706 23747\n735 38213\n1376 25781\n12528 31867\n37277 39169\n2475 35695\n40407 46168\n5390 40521\n16486 42587\n17435 24558\n17937 43788\n30198 39210\n19610 36577\n10802 25017\n2867 45244\n6405 12890\n4328 42209\n22768 30729\n39179 48470\n7266 31205\n8171 26650\n24482 24561\n31111 36382\n5605 28114\n39608 48202\n8494 17382\n6143 23755\n2254 26397\n2165 15351\n24521 29304\n20949 45621\n11658 12955\n18505 32111\n23162 23243\n10289 22910\n15408 38470\n20447 22116\n23267 25475\n2166 7102\n4217 46549\n6311 7323\n9171 26333\n38524 45325\n12855 32475\n22906 42235\n9004 44214\n21149 23629\n5915 15369\n4454 14953\n5242 14886\n9162 38505\n2124 9130\n2623 27656\n36597 37753\n3147 34820\n2368 11828\n21105 37602\n2616 23790\n14735 16502\n6381 22073\n17948 45532\n20642 38008\n22442 23872\n30200 36685\n25724 42077\n26197 47054\n2351 8121\n29598 45483\n18632 47323\n29009 40604\n35475 40129\n3549 6623\n2237 27480\n30344 33805\n9743 13014\n6950 19038\n21679 29183\n30325 35692\n11995 36563\n348 2166\n5901 31789\n11243 28168\n41726 44738\n35784 47472\n12685 31405\n45575 47092\n40209 42865\n5864 26655\n20833 25077\n34388 47503\n19192 31851\n31861 37208\n36226 44457\n41229 43733\n28126 30698\n19825 27908\n8592 43622\n12219 24728\n14090 27571\n20994 48378\n4876 26199\n82 25878\n31059 38403\n41874 46874\n7701 27271\n7504 37054\n27958 36336\n15677 19056\n15364 32371\n9283 25899\n21729 35601\n13188 30900\n6203 21096\n19423 48341\n17647 40452\n22083 38354\n33585 34843\n21142 47439\n1038 36508\n17296 33832\n26334 40859\n23066 42878\n27616 40976\n22979 33773\n4355 16406\n19339 27774\n8306 22479\n16012 37616\n12411 22851\n8267 39466\n10245 46567\n11176 48623\n42989 43103\n26677 44225\n11710 41353\n2014 38054\n17716 45054\n17810 21564\n38128 48381\n4687 42716\n27541 30669\n27769 29868\n10112 10548\n5295 26998\n27817 29697\n18137 23504\n263 13589\n18044 42226\n3271 11196\n6879 23492\n4084 15134\n24631 46851\n6894 33040\n18427 43740\n36533 39488\n11211 28354\n18552 34915\n3683 22336\n9489 13389\n19040 23734\n22536 23222\n30948 31201\n15433 38303\n13259 40276\n2170 14613\n633 1598\n4098 42228\n37354 47413\n3793 23671\n34081 41515\n15257 39507\n33190 43341\n35095 37235\n22594 31186\n25577 33314\n33088 37821\n19196 42474\n38220 47187\n15387 48588\n19519 19948\n17472 36715\n8650 48236\n12296 12856\n38050 45094\n31669 40384\n1609 31257\n9603 16529\n5789 24348\n43637 48663\n4104 45897\n11831 26999\n5019 16838\n21355 38228\n19545 29546\n8953 18050\n27348 30762\n9398 46867\n14639 39850\n5463 26296\n7941 26357\n1144 31712\n23411 39461\n6469 35282\n13505 36103\n12652 38010\n24278 37105\n32321 39312\n16630 18927\n253 30422\n25217 32675\n4052 15703\n6717 26445\n24900 48644\n19969 37161\n27675 45468\n14952 15758\n22964 45889\n14950 42534\n37031 44082\n10610 18399\n27260 29070\n7243 31514\n33590 39144\n10500 16910\n1825 26184\n47206 47766\n13945 22865\n6531 35545\n10351 23170\n7720 28219\n9351 37352\n11375 28356\n14533 26676\n5040 28027\n915 31609\n27934 43024\n15405 35501\n22801 47733\n37272 48063\n36182 43527\n4717 32959\n15091 34818\n2254 4840\n9948 9991\n12886 27911\n22260 31988\n2557 7441\n27168 34509\n17094 25132\n37845 45227\n15809 47381\n20621 25830\n22080 37223\n16604 20706\n2222 30756\n27928 34076\n4538 44955\n9041 22609\n10237 31065\n5380 11850\n8887 47955\n25378 27940\n13964 31952\n7772 21567\n29215 46065\n21835 39975\n21985 44518\n3771 41333\n14061 45542\n17417 43775\n7378 27318\n9374 37239\n23777 37034\n1316 36028\n10626 16119\n7789 22858\n11444 16157\n35632 45059\n28636 29436\n2548 7579\n31581 32643\n20921 21129\n1612 24855\n14477 26761\n27178 44619\n6260 10101\n1712 20287\n12834 47306\n16357 19854\n7773 35485\n21978 32600\n15431 23998\n26507 44420\n2495 24376\n8466 38925\n25379 47955\n19908 39239\n2109 6561\n19552 38416\n6987 11466\n6203 42397\n23102 26894\n21643 31785\n21694 43881\n11823 33828\n39665 46557\n6758 33516\n8330 39297\n4050 19140\n12043 15241\n229 38706\n16894 18329\n13643 16572\n262 8332\n12650 45230\n37445 38513\n14704 27660\n28631 35750\n3212 45984\n30781 37742\n7317 10349\n34599 36259\n4787 35884\n5328 24713\n36392 40832\n25411 36350\n22373 37569\n3693 36135\n45462 46441\n22733 24643\n38939 41012\n18962 47929\n15095 31149\n12808 14819\n4975 33997\n17918 41663\n31104 46139\n8825 18022\n527 4052\n8245 36120\n1162 9986\n21946 23722\n12571 14781\n12363 46059\n636 41426\n2375 36718\n14052 23896\n8397 31633\n25607 46342\n29743 39387\n14943 37955\n37649 47741\n2581 9457\n25744 35268\n37086 43740\n9313 11111\n22937 45218\n171 46636\n12252 28631\n22195 28129\n4071 44104\n11101 17287\n33652 38357\n40926 46988\n23205 42282\n32110 46973\n15619 47039\n18219 31848\n5290 12488\n6663 36960\n6244 27792\n3400 21828\n24592 46516\n2811 25597\n8131 44182\n10338 21082\n12643 16700\n2032 40272\n3416 38649\n13675 34145\n10537 29532\n28614 44229\n4025 44825\n914 47873\n19756 44185\n45649 46098\n24448 30998\n36918 42865\n17263 21850\n15208 31087\n2488 40516\n20150 26993\n37945 48291\n16600 41462\n3818 25561\n20428 23320\n41282 48576\n22051 30913\n20087 38068\n8030 23722\n24331 30053\n37153 43787\n2470 43528\n28363 40908\n15855 33747\n18111 35108\n402 9006\n13681 30395\n17779 38468\n10272 20227\n10332 42726\n22614 48401\n28881 38352\n16971 47868\n17017 33043\n15077 38942\n10382 34747\n6054 38677\n1086 43077\n16709 32759\n14419 44501\n10995 47021\n4867 8591\n6293 11147\n4813 17102\n16974 26463\n5482 37815\n3008 28465\n18769 30830\n7488 14562\n10750 47680\n10213 11428\n9769 33052\n20267 45920\n13844 35008\n11331 18143\n195 27753\n1379 11470\n5455 6334\n27360 42019\n19752 46036\n2899 11479\n1315 48147\n17381 37113\n9390 10360\n24427 44587\n9491 13266\n9639 14574\n30225 42470\n17030 47326\n19362 25037\n29022 40313\n10620 16154\n31772 32250\n28277 38300\n21385 42512\n9870 42455\n31892 48291\n13097 40690\n26033 29644\n10263 11556\n6235 21156\n9823 44846\n25198 25958\n29133 36687\n16971 34676\n19658 36175\n11095 15341\n15164 41627\n4024 47196\n5848 27823\n6206 44651\n1033 14000\n6848 24918\n23066 34318\n21464 44703\n10545 11150\n32172 35764\n343 26811\n33862 36172\n12937 27376\n25127 43341\n2779 48523\n20763 33095\n11690 31633\n10210 19389\n8868 41445\n26297 30965\n11189 24705\n47685 48539\n21764 32329\n19093 32577\n24917 25555\n42444 43029\n425 16251\n12152 17478\n37923 41889\n14579 43562\n13194 47472\n24685 41641\n6159 43298\n1776 35881\n6483 31359\n36250 48049\n27092 30631\n3170 12832\n3877 13249\n2367 12856\n8869 40740\n18732 28700\n28168 38632\n19352 23306\n26018 47763\n16861 17307\n28067 30692\n12685 14396\n7879 10468\n33299 42397\n24925 40952\n2197 46859\n12840 24283\n685 12995\n30402 36240\n32801 35584\n36174 46542\n33546 36122\n13591 21199\n654 8168\n7464 14346\n31854 37746\n5462 36528\n16256 22194\n3494 31173\n16943 33914\n23098 42191\n22343 30980\n19082 28142\n7316 19569\n32768 37655\n40595 47689\n23709 42088\n7224 12124\n2255 33978\n46547 47888\n17449 44235\n19797 41457\n22065 32345\n20576 43874\n7578 26103\n4377 7052\n12600 43928\n3748 40857\n8978 11316\n4514 5570\n33258 47390\n16496 40102\n39108 47586\n7608 48108\n1867 34363\n14258 31137\n25023 29727\n8372 13318\n18479 25338\n12519 17030\n13531 17155\n2045 48586\n19562 30670\n12251 16619\n21751 29326\n14563 26398\n5228 42372\n4148 21736\n27380 27388\n36833 37214\n15989 36628\n793 22317\n31225 38613\n44051 44687\n3927 46042\n20857 21018\n13681 15934\n27573 29458\n23850 48098\n5958 8189\n7562 43887\n15552 29401\n5568 36496\n38248 45862\n32141 34662\n18685 23644\n4808 13941\n15065 19208\n24537 25359\n28913 37978\n949 15821\n11939 40856\n39061 40137\n10519 41320\n13681 41933\n6904 31384\n6687 21420\n15112 24935\n17396 48033\n2951 22581\n15062 35434\n11575 34893\n7266 20354\n30973 45503\n38171 41939\n3740 38659\n28924 44548\n15381 38130\n15591 41976\n5156 31560\n7698 31819\n17048 18129\n13587 35131\n5040 32016\n32443 45397\n1042 24782\n18912 44668\n665 29097\n21216 48080\n20492 23512\n10075 27327\n14304 42031\n33154 46536\n27901 46881\n11023 30747\n17200 47356\n20191 32719\n787 32093\n6031 11383\n15769 19248\n14059 26637\n10629 14755\n27824 35875\n21372 44950\n34210 45962\n23152 25030\n28871 42540\n4613 19866\n8711 26457\n15339 31258\n34460 44399\n12087 45637\n42 12290\n46500 48341\n12352 45381\n2839 5666\n6429 42338\n28772 47793\n16480 43879\n12668 15530\n26968 44609\n17651 38050\n15868 16377\n12368 29816\n26726 48550\n39493 40767\n3183 3621\n42024 42310\n4408 24309\n9812 39108\n11470 26802\n28547 33523\n14108 44510\n10541 43542\n16917 17820\n7779 27012\n3426 26010\n32574 43886\n2182 33777\n3377 30867\n5635 16379\n18436 46191\n8893 44784\n1346 18055\n21821 32131\n2605 13999\n8238 36817\n16190 18747\n2966 11637\n6982 22244\n3273 44210\n3556 4577\n17916 22314\n6426 35402\n5602 38137\n27461 30165\n22249 40773\n8666 30020\n24503 29557\n7683 41763\n34623 44682\n26158 34581\n22963 37074\n36990 42981\n27031 34400\n28642 36556\n10239 46791\n33864 47942\n799 41048\n8756 8778\n40617 42142\n188 32140\n9078 22237\n21822 27146\n24536 40438\n15621 25632\n228 30083\n6650 43647\n29698 34045\n28782 32519\n14746 40243\n30874 46370\n9290 43618\n4135 39599\n33667 34350\n1563 13290\n7266 11903\n35990 42432\n19969 43256\n11870 17098\n23926 32093\n41922 42891\n15475 46245\n6233 44920\n24158 38169\n23452 33993\n6031 44818\n19409 44968\n8078 14959\n41000 44207\n17650 46639\n10311 18287\n6419 45202\n2825 16403\n20913 30037\n43678 48581\n29703 33049\n34199 48424\n1946 33920\n30738 45040\n31423 36321\n9806 17843\n19573 45535\n1662 31058\n1756 45905\n40570 43867\n24652 46145\n23021 42204\n17754 45424\n29921 34917\n20103 46736\n1162 36105\n13825 36968\n28276 38037\n10745 48137\n38920 44320\n40733 46712\n27142 37654\n19563 30191\n9502 26540\n21886 28024\n13687 48484\n32386 47584\n14701 24382\n30292 39699\n19281 47658\n19098 27614\n10854 37371\n33001 42421\n20888 30683\n19872 45958\n4264 15148\n41818 43192\n5960 35672\n10145 30990\n21037 41391\n40557 46945\n5929 32483\n17039 41609\n18244 34284\n12672 19216\n43482 46024\n23564 37611\n12799 26625\n10346 11346\n24119 31492\n30308 47010\n14794 29694\n5430 30766\n45741 47832\n2516 6455\n1659 9718\n26415 26530\n1695 39215\n3431 44550\n10795 12359\n3001 14437\n8238 39013\n7115 29386\n5687 42879\n22664 31341\n29290 39498\n31117 47659\n28296 29636\n18679 46723\n4415 5576\n25998 26970\n12710 45993\n22156 48642\n6638 26238\n10192 40383\n908 3502\n18163 26335\n34060 36450\n18491 31716\n5178 20821\n14095 19182\n1412 17357\n10449 25837\n12290 21061\n2336 11488\n17518 22836\n26825 28863\n7415 7771\n17740 37255\n1983 44486\n47538 48081\n28077 29251\n25309 28505\n23966 47767\n7618 18733\n17101 39599\n2660 22617\n3016 3211\n20323 32212\n38890 46830\n8289 42668\n1669 17628\n4800 24038\n3307 34029\n15610 21618\n1353 22497\n22130 47424\n11234 17274\n23463 45024\n286 37796\n38660 40341\n26999 32852\n13433 46734\n11403 45397\n27211 41199\n4984 37087\n13290 13876\n28797 41279\n5820 31668\n6751 9057\n8455 21541\n14352 28813\n22841 27346\n12747 46531\n31559 37225\n8601 41359\n10700 15743\n21884 48003\n36281 45702\n9233 17107\n19777 40713\n16333 36403\n10940 34010\n4633 48565\n8199 17199\n10599 31652\n24612 27499\n338 7136\n480 12284\n4626 24147\n14487 38755\n15956 46811\n3669 16438\n17478 26084\n8098 43305\n26413 30220\n31440 46765\n11425 12043\n6118 28810\n7529 34429\n21955 27910\n12315 18005\n34430 48107\n18736 39448\n918 34708\n21834 35773\n12162 31310\n29818 40538\n16880 41175\n1172 22953\n15933 26813\n453 5559\n3100 4272\n10469 32962\n35192 37149\n15893 47307\n41241 42497\n21354 42708\n2932 30280\n24802 41817\n38846 39480\n2248 44044\n28248 40634\n19141 30220\n4409 9559\n37454 45095\n29196 43494\n7684 41165\n11183 11522\n21409 22586\n356 44608\n15709 30435\n41760 43935\n10241 11109\n13017 43106\n760 48313\n27566 44387\n8257 8492\n2334 38555\n11414 40758\n29325 38536\n16344 40374\n5143 46732\n35166 36063\n21301 30106\n33061 33096\n10410 14304\n32016 48278\n37020 38816\n22641 46665\n14005 35731\n16279 25888\n7555 20290\n38402 45569\n688 39389\n34199 45511\n14864 25607\n12915 13329\n32882 33866\n8976 48351\n1489 26400\n11767 27856\n33837 34726\n40880 45570\n5241 14485\n24849 37081\n23675 29966\n12310 20859\n29031 36419\n41301 41430\n10894 41189\n20241 23359\n18573 25375\n31882 44433\n21672 32720\n17892 36763\n4444 43300\n30105 32934\n19525 38051\n7058 17511\n10010 13250\n14691 43679\n1324 31861\n16295 44911\n36607 39763\n3833 19573\n48256 48383\n36775 39463\n6695 24423\n7042 33272\n645 24564\n10487 33741\n24335 29006\n30764 44846\n3190 24105\n36907 47144\n10611 46170\n20185 28038\n33755 37334\n34326 40889\n600 7473\n7079 42953\n43045 45551\n41693 44571\n1709 25295\n2878 19952\n11516 40884\n27094 33383\n2796 12737\n15852 27557\n13571 31481\n6676 30194\n2000 26374\n5314 23672\n31100 41230\n16710 33162\n3854 29137\n27781 30099\n14283 16383\n41863 42727\n3846 3979\n19677 38119\n23949 27601\n11096 39435\n24394 37801\n10709 48445\n26721 37509\n1510 37436\n4515 33035\n15380 21446\n39875 40281\n9181 11349\n35447 43617\n32995 46938\n33519 34603\n23619 30485\n14235 21565\n7134 21802\n1515 6232\n10580 17144\n14942 30633\n20309 44855\n18868 28580\n13956 30528\n7407 45790\n1497 23325\n10361 45526\n3850 38988\n1025 13333\n9928 36259\n13365 18563\n9341 10639\n15907 31936\n5467 38057\n6020 48181\n40432 41578\n512 43878\n43295 47513\n40621 41459\n6728 26899\n10219 43828\n6735 25924\n5146 36466\n11439 15802\n30904 45788\n35161 41353\n14299 27187\n102 36009\n17887 33918\n6975 37506\n12592 21623\n23421 31717\n25383 31495\n27335 32933\n35734 46510\n9934 32007\n35715 40189\n9160 25230\n1040 36861\n26643 28848\n32406 46583\n23109 42889\n1181 36931\n25629 34201\n40764 45574\n10640 26506\n589 39504\n1416 28080\n4494 28479\n4902 25541\n3846 36549\n12228 23105\n18061 37261\n2335 13741\n11043 44559\n41946 48415\n11002 36057\n9963 34397\n30437 45270\n4768 44996\n31089 38109\n10212 13664\n32739 39884\n12826 33403\n19967 33357\n32004 35495\n29127 32130\n15275 47824\n780 25071\n30344 32123\n30163 35609\n17742 17909\n12403 38393\n10711 43351\n8060 28284\n6012 44788\n35364 39846\n29430 31072\n15529 36968\n36549 46678\n45540 47589\n42665 45201\n35429 48004\n18541 25081\n43289 43857\n20731 41522\n9769 20153\n4469 12446\n15004 48511\n30254 34242\n19297 31604\n1101 32128\n44184 48221\n10823 19378\n4774 34177\n13632 41722\n3755 40059\n22263 29214\n44985 47650\n7401 13389\n2220 5021\n25589 27764\n33287 33526\n8282 38119\n45791 47774\n19046 33668\n18982 41469\n6748 12258\n41704 41810\n19662 40221\n28274 46445\n10091 39107\n47225 48238\n3781 37613\n19763 44370\n38104 40856\n12152 47325\n8726 33462\n10468 35255\n1663 17939\n14027 17022\n39178 46391\n1282 10909\n11054 40402\n32307 44675\n5568 43317\n31119 46027\n9261 28650\n37620 44954\n41927 45699\n922 43920\n13465 46289\n6521 8177\n7931 32288\n19384 41497\n10929 35152\n40527 47970\n44325 45826\n26771 27950\n14729 33440\n5957 28454\n3443 6159\n39635 39873\n2514 37400\n19913 22160\n20142 38940\n12097 15609\n3147 37477\n2599 22709\n1864 27135\n38317 39832\n2085 17614\n35468 37285\n6430 26210\n16788 21908\n21293 43225\n30337 42998\n7763 48392\n29322 35292\n19966 26181\n5034 41779\n28550 46594\n27810 29636\n1401 18236\n35812 37974\n5810 7948\n42965 45349\n6701 20253\n4827 30022\n5203 43168\n13345 41823\n25759 26464\n26581 41421\n14210 48552\n12675 45654\n96 42921\n11720 35951\n19020 41269\n13990 16531\n14236 29419\n364 31774\n10816 46176\n14425 43907\n17194 30928\n7942 28323\n32619 37263\n4965 29466\n6396 28564\n30989 47576\n2029 17197\n16882 22528\n19212 38480\n12086 27328\n33779 36845\n6462 27513\n11736 18173\n16294 48307\n3810 24076\n18563 21304\n12942 24811\n32304 36968\n13456 46629\n19654 29102\n17086 42882\n2221 10099\n4440 29445\n26830 32592\n21773 36744\n10770 46608\n752 23007\n38285 47824\n31341 35089\n18968 29877\n23280 26788\n3056 13680\n28268 40943\n21021 31443\n32254 44918\n24424 44178\n18258 24660\n2627 22561\n27572 45474\n19602 21395\n5577 38383\n6597 46645\n3015 35932\n32453 41675\n7665 28052\n17015 32141\n25245 39137\n23279 33338\n40011 42509\n11785 45253\n8437 30810\n28198 31683\n43456 45889\n18081 47856\n69 46519\n6762 46271\n8142 30603\n13440 36472\n23128 47913\n43793 48575\n14656 20298\n13540 18917\n6312 22151\n36139 40273\n7603 28595\n15623 25866\n41694 43981\n2875 9077\n42736 47036\n5047 23887\n16277 16657\n20712 24888\n6274 10115\n22788 46115\n46266 47545\n9195 32637\n11132 42920\n9365 33302\n42603 42794\n1176 40235\n43450 47415\n11919 47294\n16266 25368\n29716 39891\n39433 46057\n9907 35304\n29809 33039\n20687 43178\n17889 31410\n10893 44142\n5995 45069\n1946 7076\n1736 46861\n2205 29633\n7417 45210\n10593 11166\n23841 39264\n8494 15586\n16119 25063\n33680 41882\n2962 36716\n9574 17809\n10903 12197\n29290 38258\n747 11184\n35289 37147\n18305 47633\n5535 43798\n7300 8449\n4194 13052\n17665 46197\n44163 48201\n30330 37133\n24152 42207\n17586 36705\n2840 34131\n12993 24373\n7628 11555\n17678 35224\n16106 16697\n17231 42421\n1346 13872\n3020 24910\n3447 14513\n7673 15681\n13064 42880\n18628 45826\n2260 9540\n31408 34680\n7343 36321\n16171 27476\n46253 47124\n11685 31600\n426 24704\n44196 46409\n34787 40635\n25428 32738\n32480 39933\n8198 19719\n24788 32895\n2111 35284\n15396 25458\n14884 28575\n4691 39954\n16262 18879\n14657 45455\n29090 36476\n26604 44412\n14175 26713\n12745 30304\n18089 32008\n7550 22309\n28649 39951\n26595 37488\n7166 15883\n4930 17228\n17921 29001\n4736 28515\n45908 47482\n23504 47753\n33280 40950\n14316 47035\n7029 42315\n11807 25329\n5519 44634\n7248 32509\n2301 9319\n27881 32146\n13970 20026\n14071 27941\n6814 11380\n3001 34256\n33171 42029\n10555 28719\n9218 24468\n4823 25409\n18631 35058\n29669 46546\n40512 42229\n15126 47816\n6125 43495\n9748 47937\n4010 17685\n6470 8691\n6809 13407\n10521 43063\n9277 31528\n2032 19574\n17003 24033\n15226 16380\n14290 27791\n21835 28895\n15047 40301\n2186 45227\n26454 34421\n24088 43762\n7156 17520\n7421 35225\n14530 26808\n31321 48112\n22257 33132\n22586 36947\n5347 24154\n27327 45774\n22608 48571\n34032 43312\n4290 11255\n20318 30103\n33332 38369\n33292 46905\n23941 40540\n17841 23167\n9971 29519\n19278 35996\n23506 34605\n14233 46460\n4862 28413\n22352 32409\n8819 15569\n24338 37442\n28261 31738\n32867 44995\n26808 36831\n2455 6244\n32788 42217\n1775 25026\n21826 35281\n13251 30795\n24727 36751\n7868 28238\n27821 39756\n9215 25936\n2510 5173\n14574 30403\n4187 38532\n16473 37589\n13125 45872\n41039 41740\n14955 40426\n17619 18574\n7008 14847\n4675 21119\n16513 23730\n7901 13860\n6733 10576\n36008 41256\n3408 15182\n12802 20034\n8995 44861\n24734 43800\n14683 35839\n9361 20591\n25015 26852\n6777 46284\n1879 10020\n1009 4442\n35752 47731\n27840 34041\n875 3942\n11 6825\n19845 37600\n7015 20930\n4805 45705\n8760 16997\n11818 18233\n31016 43729\n27035 34117\n9359 45341\n34743 44364\n26258 42013\n45109 47426\n35444 45661\n11734 12072\n31989 44895\n28816 46840\n42183 43530\n8922 16407\n8302 11132\n466 33649\n10693 10821\n113 811\n9463 19671\n27213 30819\n14734 17210\n16287 29579\n2973 12519\n9065 14778\n10252 36316\n23410 39892\n2633 14956\n13911 34613\n5704 13850\n20616 44597\n29666 31161\n15516 19775\n46246 48134\n33593 46139\n38988 42772\n16526 41051\n4608 12425\n6041 32931\n38098 43127\n3449 23906\n4325 29791\n361 44044\n9096 9359\n27109 44001\n18684 19521\n36210 37441\n1428 6604\n29371 45186\n25595 46436\n16971 35336\n34991 42063\n15854 26785\n8973 42319\n5641 17304\n16267 23268\n3974 4795\n13607 25835\n25907 30013\n11673 32737\n10226 34668\n39553 44954\n24826 29731\n13483 40463\n22657 27763\n2212 37148\n8286 12154\n33737 38164\n1402 25354\n30913 38941\n8968 24903\n26362 43942\n5690 36470\n7765 14743\n37123 43345\n18215 21797\n2088 24230\n16942 46516\n3200 7335\n8423 17150\n10401 27798\n18541 42619\n28133 44219\n5063 5187\n9074 22432\n16572 29921\n12336 34590\n21345 21428\n5001 31150\n6277 34406\n253 15044\n3977 31739\n19359 44061\n20130 27217\n17887 36388\n16485 35646\n10620 39082\n20219 42792\n28891 30802\n25143 25787\n26471 44329\n13103 27281\n20252 37770\n23251 25242\n5667 26379\n28748 37800\n22004 33950\n9730 37776\n29199 32798\n16361 26987\n31361 32616\n19232 45361\n2208 21711\n6663 10133\n973 22767\n4590 23962\n30102 37240\n5417 21416\n876 1375\n2831 3907\n13447 18514\n5568 16663\n10415 35708\n31016 40177\n21797 28230\n37463 39882\n11984 21472\n10238 37456\n1340 7745\n28881 37415\n31662 37533\n3646 45695\n10348 13089\n4445 45056\n47463 47631\n1312 1364\n20845 28887\n17801 31262\n15135 39632\n21281 34142\n856 46960\n33969 39351\n26962 31665\n11666 25710\n7344 11124\n22421 43695\n13618 28670\n13938 34318\n12774 41296\n11263 38143\n18156 29443\n30411 47310\n34711 48313\n14641 27242\n28190 46648\n6129 16334\n20174 29543\n6073 7893\n22126 40195\n4949 21577\n26493 41567\n22602 29498\n10226 11052\n1148 23308\n6436 19772\n31027 34325\n6728 11500\n22333 33979\n1333 36930\n21773 40366\n10091 17449\n28753 29656\n24922 29472\n24528 46575\n3226 36320\n24025 24520\n22804 38798\n7430 19674\n8888 15532\n3907 40934\n34025 34621\n15434 42730\n25649 34232\n1650 14827\n2597 5221\n13089 43026\n8729 17181\n4953 35792\n38002 45711\n30235 35170\n19369 22135\n9441 34452\n18996 40662\n13672 15571\n1228 19979\n7442 36650\n24607 25254\n10170 11522\n2720 23609\n14750 40814\n7248 42847\n37697 39386\n32313 36273\n24519 41013\n44746 48248\n20479 24482\n19141 26654\n10694 44509\n31077 38870\n31711 47734\n24587 48530\n28514 44096\n37556 41910\n11595 44873\n19868 43249\n5655 12449\n1866 31036\n14457 34337\n19328 19546\n23701 44085\n13187 34384\n14764 41922\n2131 9877\n8695 13115\n990 15339\n24203 46884\n7844 33138\n6439 35071\n3445 10042\n15390 19394\n5376 22615\n1452 25014\n7758 14366\n6020 32107\n11863 20354\n10089 19074\n16227 38741\n21045 34196\n5999 37665\n9421 31375\n18506 43528\n11275 44415\n9699 47557\n37087 46704\n13100 41696\n17472 20599\n4883 31579\n13365 40254\n3302 8691\n26212 43888\n20184 48659\n40790 43847\n20095 43183\n24353 47429\n17322 26193\n38138 43964\n3264 15812\n29605 35735\n16389 18126\n10715 27725\n36524 45185\n12822 32478\n41640 43629\n2778 8126\n9491 26771\n5112 47620\n15700 26665\n23508 33887\n6287 18877\n44761 46606\n25325 37509\n12480 39208\n16506 41387\n23701 43373\n24601 46652\n29084 47433\n5994 47460\n3265 15132\n9546 31947\n1377 46441\n13693 15138\n4586 28426\n6289 11805\n20194 33039\n33896 48318\n9660 20977\n2794 26965\n10709 17498\n9162 15743\n14629 14772\n17084 41892\n37711 39756\n10188 18380\n28639 42144\n994 33251\n26792 31264\n10984 14721\n43673 45487\n13778 42141\n21287 24195\n10709 26093\n21972 35203\n3018 16533\n7781 20687\n36586 46356\n42127 42670\n1410 33599\n3733 31911\n13098 43627\n31167 40463\n35622 37976\n6908 27936\n4808 22732\n8981 25689\n27157 28585\n9323 12364\n20640 21417\n12009 26103\n4076 37201\n20523 47135\n6516 9862\n42701 44621\n10192 11866\n11638 12397\n9536 14659\n15476 37153\n27652 47130\n11869 26525\n12781 39441\n26136 43381\n11982 24920\n22 40008\n2665 32614\n17934 40920\n19176 38397\n21431 26423\n28521 33627\n9641 27112\n459 24580\n6032 25513\n251 6229\n36667 43934\n7352 22169\n3546 36310\n7262 10509\n1816 16641\n16345 29017\n4736 13511\n510 14124\n17496 27323\n41570 47507\n19912 37506\n5842 42518\n1773 7231\n11022 28573\n14147 30067\n22579 48680\n43623 45780\n23492 29257\n19486 26591\n41049 45881\n505 43601\n20650 48511\n5753 22685\n412 17306\n5484 7418\n15356 21043\n14104 30408\n9788 13495\n4244 18602\n35601 36261\n21783 44106\n16337 43191\n26661 40537\n45379 48356\n1975 11277\n18566 25629\n8795 47060\n26605 35537\n7609 23539\n24499 34964\n36548 44558\n28007 47919\n25679 45746\n3574 18322\n33492 41170\n1184 40256\n33645 38865\n10360 33673\n32457 43345\n7882 10123\n6308 14817\n16420 38616\n45191 46510\n15601 20326\n13498 18153\n36896 37547\n36541 47593\n10165 46885\n12639 16447\n2684 46449\n8820 12831\n3940 29861\n26002 35349\n26175 47667\n18450 35688\n25592 33938\n3138 45149\n16332 31114\n16466 43877\n13254 17681\n9000 11375\n20122 23811\n11951 13604\n9597 31817\n1250 2896\n8926 15253\n7162 19359\n1518 27246\n14359 42234\n20208 27040\n29148 37406\n42441 47778\n23952 36126\n12978 24888\n14309 34130\n2074 43571\n20221 43766\n596 5427\n4403 23645\n19473 23145\n5517 30727\n3739 43697\n3010 28389\n40310 41927\n5866 21701\n11985 38452\n8268 36689\n5172 33282\n3931 27528\n20414 33956\n10782 42298\n2580 25074\n12339 35228\n12839 17548\n3931 13178\n26577 38006\n13779 15829\n17573 39596\n22930 23633\n21465 43203\n11324 34361\n40717 45918\n25395 32254\n9458 46269\n6891 18985\n16972 23727\n33207 36891\n1054 11756\n28191 31609\n10341 19173\n1605 46453\n30456 45720\n2267 10377\n33466 37354\n27846 29565\n31203 46075\n19686 28731\n3907 19986\n178 12314\n10567 33377\n32137 44064\n26964 28767\n926 46131\n6639 8059\n10118 35252\n26600 47338\n20916 47862\n5875 16551\n34900 36826\n31337 35113\n19486 44016\n13402 15585\n16793 34048\n31430 46856\n9555 31961\n8178 40510\n33871 34849\n20967 39478\n12610 21767\n17024 36426\n36059 48032\n25633 34928\n21596 45320\n14768 33073\n576 14139\n2049 36826\n27983 35850\n15663 48366\n4732 28795\n3861 24066\n12274 25083\n2842 47346\n1022 31365\n28332 38688\n15526 25930\n15117 34512\n29863 42366\n27183 44368\n21065 47981\n16211 42007\n35876 42929\n5601 34851\n16482 18444\n34065 41407\n4310 13950\n15092 17636\n11355 44659\n4297 30955\n34980 38063\n30844 45365\n21745 38994\n22158 40370\n26969 43690\n28052 38651\n4459 32136\n25532 36085\n1140 35480\n42037 45999\n10700 32662\n24624 37461\n20761 24746\n5626 18911\n23307 25412\n1394 44470\n44870 47603\n22542 35511\n3153 26168\n32810 43442\n10312 35091\n37338 41130\n44451 46639\n3410 16664\n33369 39775\n1582 15762\n6004 20121\n32470 43090\n12880 18408\n2358 18366\n2672 12804\n12140 16425\n7088 19227\n48335 48665\n19122 45126\n36525 45465\n17729 47413\n25195 26398\n4022 10838\n41108 42322\n6930 37274\n10312 12115\n1286 33472\n15697 33525\n17730 26482\n7863 35027\n15137 46383\n21366 28714\n4923 34005\n24508 29365\n10909 43888\n11464 46413\n27077 32318\n33299 44372\n10644 35452\n10692 21721\n1699 16747\n16852 28932\n7550 20669\n11232 12927\n12439 36696\n24332 26181\n29712 34810\n11059 17105\n7203 16884\n2978 29365\n21394 23640\n8459 25850\n12393 19973\n927 29436\n1978 2096\n24126 43761\n1623 25004\n4352 13431\n2005 39837\n12579 43455\n7940 10032\n4304 33184\n3323 35156\n4876 31141\n17848 47665\n12218 30964\n24819 45490\n1988 39796\n7879 9536\n478 25003\n5372 39580\n8460 19820\n39450 41372\n18799 24951\n8028 38094\n26770 35577\n21142 32688\n18389 46970\n10350 19885\n15730 25940\n4498 35211\n26570 39280\n1422 38043\n34640 38526\n29910 39905\n23733 25219\n14846 46198\n11928 35448\n287 7948\n22339 25544\n4101 27490\n18889 37959\n14379 31089\n11384 16350\n15649 30063\n15633 40077\n13715 27777\n11614 17676\n7476 27113\n4459 30110\n31392 41192\n29382 36423\n26405 32921\n32993 36570\n7637 46731\n7781 27450\n987 42062\n17802 44928\n31569 33738\n23858 37599\n20176 31722\n14056 37627\n16648 17483\n18987 27005\n14731 26730\n12837 45564\n38788 48355\n3485 29821\n17998 24151\n25345 35826\n27626 46989\n23094 37514\n32592 45995\n31063 41061\n14816 36838\n2061 13001\n6391 32851\n9547 30773\n26398 34872\n12081 29948\n9819 14230\n27691 34428\n12271 44165\n109 30501\n20546 42539\n16812 42715\n33739 36261\n28801 43652\n4250 8337\n9670 31703\n32566 47796\n6577 35461\n3196 12769\n4564 44267\n11236 22484\n31719 38383\n13428 16334\n40037 43103\n8190 47367\n24873 44944\n24150 28253\n16696 41516\n15012 19600\n8816 24886\n40365 42771\n12783 13871\n15896 46389\n34240 46559\n25372 37405\n16374 35954\n1582 39754\n29107 45946\n5041 41847\n3409 17860\n107 34141\n29362 44764\n42468 46733\n423 3604\n30718 47351\n18431 35671\n5027 43491\n11040 29972\n12731 42057\n5917 25873\n1383 46232\n18867 41143\n76 33243\n28351 35020\n1155 20153\n14019 26206\n14709 39817\n17276 33064\n32575 39062\n30842 42579\n4127 33677\n18672 31494\n18295 18738\n3012 44430\n23948 45316\n33016 41497\n3253 24649\n12916 27113\n5966 39050\n31390 48109\n5340 26234\n3408 9822\n352 48446\n36707 39607\n7879 22821\n1483 24306\n8214 26289\n1579 39486\n3803 11998\n18573 47960\n30309 32637\n19028 30473\n17479 21946\n10651 47548\n10085 39748\n33218 44698\n11774 35190\n35080 40705\n12200 12527\n11616 25134\n5374 14678\n21987 38999\n13008 20328\n18674 30722\n11882 40363\n16691 39104\n27890 43892\n15464 42175\n13607 27770\n36786 39479\n17472 30766\n8063 8787\n3944 27093\n5955 18823\n26593 31456\n18966 46396\n13075 47321\n3872 46448\n34188 42420\n13232 40020\n786 42384\n1213 17303\n6449 12586\n5528 16517\n15726 17334\n36077 36708\n13371 46822\n26183 34367\n4085 29341\n27967 43021\n20452 48238\n4441 24093\n13706 44365\n2190 31634\n29826 47646\n17567 22614\n32383 35168\n397 573\n22822 23217\n1723 25684\n4118 28571\n20512 43105\n4929 37722\n28367 39702\n4832 48138\n5559 24503\n22798 39094\n5155 44097\n19412 47877\n6414 34512\n16260 24107\n26391 45508\n21093 39891\n8808 12420\n22102 36413\n8914 44624\n33997 40679\n812 46757\n17351 20888\n36362 37072\n4528 9224\n17066 22149\n23056 44224\n823 28948\n12983 15851\n9437 47867\n16003 39882\n8974 15801\n240 37167\n3555 27343\n28128 38204\n9887 39222\n21779 22243\n4481 34842\n19111 36098\n973 25915\n39285 40288\n11275 43771\n8573 22788\n33757 37926\n16544 22807\n36361 40494\n21447 41628\n27604 47824\n9896 34372\n9703 44199\n6417 48153\n11940 23240\n20082 24863\n30054 30299\n10678 43780\n2033 4729\n39399 43480\n5548 35788\n18838 20354\n35057 38519\n25178 28168\n1127 19692\n20890 21914\n3172 4956\n4990 29893\n34596 34708\n36256 44580\n10105 12401\n36167 42758\n34514 39073\n28225 41623\n9491 37600\n24496 30349\n28484 35153\n33126 43355\n8980 13890\n24122 43427\n15545 19859\n30320 35803\n17408 24904\n33934 41950\n202 21020\n18376 48485\n16998 24593\n141 1293\n11903 22015\n655 31541\n13095 16813\n32859 46962\n2348 32570\n34379 37749\n13583 30049\n38092 46710\n11959 42484\n7140 27306\n26866 44702\n8087 18206\n1869 23357\n15594 23628\n16411 32654\n20552 27357\n33893 41345\n12898 36139\n8438 43031\n18524 32775\n3811 29300\n9996 16273\n16410 27010\n13164 46189\n17111 40219\n14619 32243\n20095 38808\n10651 33420\n488 15306\n4828 43703\n21220 44414\n11970 39581\n11347 21883\n22250 31994\n22105 31211\n13898 26821\n26160 36037\n18809 40769\n2022 13417\n20364 32216\n9655 46142\n493 10393\n26892 46354\n11303 15455\n35338 46589\n4781 43265\n4343 5211\n4124 7534\n9003 35768\n5450 39699\n16823 31108\n11090 39886\n13977 43317\n4826 7976\n16639 33167\n16730 17423\n17406 24521\n7606 47079\n18672 31340\n15293 28261\n20702 21919\n18290 32770\n6429 8652\n11803 35102\n5799 22732\n32039 32637\n13944 15218\n7079 11389\n16734 36898\n26382 44134\n22461 35211\n16388 21116\n34279 46339\n12437 17193\n10871 45916\n24135 47160\n5238 44359\n8785 46010\n41314 43852\n30253 46922\n30956 36807\n13408 15139\n25776 46886\n15127 37429\n6021 41962\n35081 47142\n25679 41351\n27868 42934\n2696 7438\n15932 32864\n19357 35203\n12018 30191\n11919 38700\n9668 35372\n8483 31897\n20441 34600\n12426 46903\n7378 20639\n32410 41949\n8412 24189\n1064 41195\n1550 7673\n1600 8848\n1060 29813\n27554 35223\n14893 35413\n33947 40880\n22952 29098\n27127 34620\n12276 45401\n3046 15974\n18722 27098\n9822 44342\n21437 38368\n22562 23243\n20265 35168\n2426 22488\n5865 12827\n13395 47078\n16825 46141\n14564 20218\n34493 34916\n15295 22240\n24265 24588\n16312 40755\n9186 42736\n13586 46566\n2415 37487\n7905 44705\n9810 35342\n6176 36754\n25156 35442\n8478 24550\n25180 30811\n28097 28880\n42798 48190\n31574 45703\n611 48350\n10206 37713\n2050 8574\n7934 8409\n25262 37765\n12327 37607\n4422 5721\n10406 27377\n17356 25770\n35814 38690\n43625 44962\n14905 17768\n22124 38602\n2209 45171\n26849 45904\n14589 26063\n21933 35441\n38792 40807\n4072 31976\n6111 24729\n21085 41715\n6907 27647\n34900 43766\n30969 43618\n318 21549\n3915 22513\n23751 32527\n23327 39328\n6612 8939\n21442 45930\n4763 43891\n35835 43747\n20193 25586\n15579 35747\n43218 48465\n7846 45881\n15608 19171\n17307 37877\n7413 17544\n4999 16723\n29499 45569\n28002 31252\n37530 48623\n3555 19373\n9911 31107\n36252 44648\n19583 28290\n1452 6703\n14407 17126\n2184 12861\n24750 39104\n15462 43025\n7573 15356\n6327 41126\n33545 37562\n3317 28045\n5185 25307\n3573 26309\n4729 12954\n10111 12900\n9487 26166\n16812 37382\n22053 38106\n11796 13836\n17296 41863\n9957 16343\n1435 23565\n30077 31746\n26423 35011\n795 28029\n3146 4951\n15940 17572\n6567 15131\n1778 33986\n32490 33072\n11308 15513\n13339 29753\n21687 39352\n42031 45380\n21936 30343\n7829 13379\n25740 26273\n8687 28946\n15442 15486\n9726 41967\n31574 43078\n41534 48169\n9132 26073\n4903 7120\n9371 46362\n26595 29045\n23743 45481\n29369 32197\n4075 41608\n14394 42101\n16835 20590\n36370 43775\n6633 25589\n18898 23370\n4035 25884\n29507 31488\n9937 48600\n10369 19696\n26769 46074\n1245 24160\n12388 23997\n1884 9114\n16639 31899\n20092 38654\n26435 31097\n4690 23227\n20778 30544\n13368 23462\n37144 47420\n4111 4754\n17307 34994\n38750 40543\n14955 46570\n4263 44737\n1170 30785\n17965 20897\n12486 42656\n1481 19957\n42878 47964\n7559 32336\n42821 46906\n31888 48027\n6526 27374\n6039 40812\n41750 42184\n15719 22261\n4781 18534\n7079 16328\n2146 6891\n7249 18758\n3624 45670\n4296 43728\n7628 39520\n23410 43546\n8607 38370\n10888 17052\n6379 13236\n2957 40888\n14904 27971\n7592 35455\n11326 34595\n19332 35382\n3690 45614\n4591 11860\n3824 37232\n5883 29700\n22643 47580\n19458 23729\n7461 34486\n946 14124\n21547 47983\n14646 29750\n42582 45279\n12751 41770\n8008 34016\n10076 38253\n19251 24851\n19001 28680\n8541 42975\n16436 46001\n897 31822\n6135 36489\n24304 36702\n5551 41456\n27799 43495\n16215 44501\n8798 11935\n39704 46700\n17429 21682\n18512 44905\n5601 14796\n8986 47034\n17751 31851\n10887 23603\n35975 42985\n30227 30881\n24365 24454\n6279 18934\n28507 48291\n29610 30512\n16640 35641\n23078 44977\n28843 48651\n6986 31274\n27717 41144\n1677 36204\n24299 44270\n4034 6608\n41476 43323\n33141 43701\n22517 32152\n5549 36939\n17196 31814\n10133 33067\n2016 15802\n6528 10184\n15273 34971\n25005 29185\n26764 39374\n3983 32356\n44217 47464\n12454 29591\n23930 47191\n16607 23409\n18262 35648\n10294 38931\n7793 14781\n5023 32108\n1678 30026\n9688 33599\n34115 42863\n8277 21722\n3753 43590\n25045 40408\n36013 46180\n25413 45124\n19384 23191\n6767 19477\n5326 26710\n9412 15852\n2295 28182\n13471 29388\n3999 11949\n9908 29388\n21858 37165\n6495 28612\n17201 43515\n5298 19179\n24819 35165\n6918 43144\n599 34924\n944 24498\n10177 44841\n19243 43454\n32627 43705\n28833 44769\n34182 44797\n4351 44290\n18214 23170\n4322 10167\n22071 40578\n11318 22360\n22997 36175\n24913 33393\n1652 5814\n4068 38234\n11532 28537\n24493 26407\n22259 29862\n23021 38971\n14992 38852\n1347 31250\n36940 42009\n2460 36704\n14347 25289\n22277 39350\n18519 36995\n25505 34864\n5608 48526\n25959 37862\n9870 29375\n2641 8796\n36801 42100\n41177 45970\n15208 46843\n13466 30952\n10203 43070\n24341 44794\n15269 33644\n17812 47262\n15734 17957\n5745 6706\n26506 44560\n31957 41919\n218 7736\n20552 37820\n13533 33396\n2457 32728\n1695 16766\n12658 21479\n30348 31115\n12864 19765\n23083 33437\n28739 36693\n1709 10537\n17403 23732\n20903 31516\n6540 12852\n2436 22962\n9654 43522\n7784 48416\n19153 25402\n8376 18214\n33123 42762\n8552 39874\n3016 34485\n15030 35807\n25412 35095\n22161 24535\n14396 46272\n14294 17304\n5502 43712\n24537 32712\n13638 35479\n20768 32042\n9931 33995\n22517 27014\n9895 34895\n28622 29776\n30677 44453\n4559 43383\n27876 34345\n32261 39879\n6079 29744\n27927 39887\n32452 38434\n13385 37623\n27041 44982\n8729 28865\n39364 40001\n3114 22009\n2339 2758\n2476 10762\n191 14787\n31799 41969\n20741 39418\n27364 48650\n14457 17587\n17940 44634\n21125 46467\n6977 23815\n4024 7533\n2860 39928\n10902 27702\n27845 43382\n15001 19710\n22817 46992\n8084 11149\n15946 42347\n1326 42655\n16932 46934\n30324 39841\n18680 36632\n36383 44367\n16814 38734\n28745 36590\n32418 40331\n716 18551\n19272 33672\n42800 48545\n11482 47830\n15176 34197\n9953 42126\n27716 38278\n11736 28756\n36221 45292\n43978 44255\n11762 31393\n5575 15220\n18660 19106\n3116 45731\n32096 47368\n20701 34141\n4948 17824\n11187 33862\n2416 29613\n35578 39961\n29911 37337\n5442 25860\n10152 25143\n1726 20874\n23875 29124\n8135 31736\n9385 22031\n32569 44077\n8043 13576\n1665 42824\n6170 48371\n27804 44669\n1998 41076\n651 30557\n7693 34012\n4175 9699\n19557 47604\n30475 45324\n871 38479\n24014 42508\n13916 41043\n13272 35875\n7 13952\n19548 23841\n22228 33705\n12839 38454\n7950 38870\n24012 31567\n13241 16905\n4230 39698\n13922 40407\n31588 48661\n13619 28917\n11872 39891\n25213 34292\n37354 43079\n10684 21900\n13627 24565\n18938 24175\n17534 18315\n4148 12155\n14231 37300\n18245 19527\n17969 44672\n12950 34727\n19602 41584\n22434 22515\n32911 33754\n23893 25375\n2908 25823\n11651 17105\n19288 48498\n10025 11547\n5676 38567\n17540 20216\n23968 25575\n12153 38352\n22942 24624\n20633 31505\n621 17200\n6594 15912\n4775 17492\n23833 41480\n22690 35292\n28570 39628\n17209 45219\n42022 47110\n9264 34178\n9513 17960\n7819 44123\n16971 27613\n26050 29056\n16802 32290\n34493 44983\n14704 31559\n10807 37433\n42306 44920\n4983 39393\n11802 26267\n17625 25272\n6253 40930\n7613 8198\n28783 35262\n28987 32470\n21922 24011\n19527 48171\n5908 31508\n33394 38751\n33773 42856\n5108 11179\n29050 42513\n24193 45027\n29101 44495\n2301 29054\n26004 35201\n41439 42124\n6317 7780\n27008 42538\n19133 46791\n4643 46789\n28961 38809\n5423 18096\n12833 13134\n26086 36179\n12221 48117\n13171 41045\n32793 48111\n5253 7389\n15101 23868\n9251 12408\n2231 6705\n5651 45290\n12674 33041\n9004 36185\n15455 15586\n23350 43077\n741 23120\n13659 22324\n25198 34774\n17609 31524\n2109 24503\n3766 17441\n196 38100\n7031 11455\n3932 17193\n19598 34412\n30844 40395\n4639 13576\n13815 39130\n45754 45908\n17725 43336\n23507 43805\n10723 43492\n519 47461\n32664 35220\n1155 12414\n20632 38953\n11262 34201\n8593 13349\n7061 9273\n23281 27085\n22060 45858\n11525 14569\n6033 33984\n5965 31540\n43299 45751\n17999 42453\n30038 43897\n1645 2797\n43667 46433\n16840 36636\n14784 31331\n19359 46631\n2991 18779\n10478 37145\n14400 26926\n3100 44901\n35280 35800\n35917 37565\n26060 41742\n9901 20442\n2754 21332\n34608 37732\n38814 46770\n10196 40766\n27622 34568\n12692 31900\n2139 26883\n30183 31220\n13254 17475\n11425 22875\n9890 37467\n7714 36986\n32662 43695\n3658 5266\n1614 15217\n42854 47085\n27613 42393\n24406 30587\n9215 27446\n18261 42356\n29254 31032\n15464 23292\n17025 19598\n32265 33059\n4910 14808\n41541 44867\n13214 17580\n2061 2595\n27288 44443\n15255 41790\n6438 43189\n18971 35265\n3365 9502\n4701 32488\n71 18699\n6156 16769\n13520 22857\n21674 24407\n6489 15976\n15663 31284\n11166 13512\n16610 45698\n3660 18584\n315 33174\n2698 6017\n4564 22455\n30892 31965\n30056 31609\n25149 29632\n4907 12386\n1469 19559\n24002 42137\n7850 26333\n10115 25778\n5424 24729\n5341 8117\n19465 36711\n24224 38188\n4120 38090\n17273 19963\n20175 25033\n15499 36909\n13580 37770\n32589 39402\n10749 16778\n5690 20023\n22376 29523\n8597 39062\n33015 36281\n22960 45627\n10623 44837\n23481 27586\n8284 14000\n18934 34797\n34340 38394\n2012 14908\n5290 18471\n29388 43129\n10911 33047\n25805 34693\n1633 42400\n4337 10043\n29105 44248\n4438 11057\n18584 32029\n5081 12225\n5708 18981\n14886 29705\n18596 26462\n12865 39806\n21683 31927\n12013 16067\n4270 17173\n30545 45025\n10284 45605\n30597 31848\n1719 26943\n22640 40194\n30930 40875\n30596 45342\n37154 38669\n23627 34040\n17237 34027\n33682 36159\n26250 31321\n11739 47287\n8388 13261\n7187 34727\n8150 40611\n28521 35909\n33694 46795\n6956 24924\n11576 12705\n8814 9035\n6883 23168\n2560 16647\n17512 24487\n36114 38816\n23292 37857\n41562 44000\n42447 43251\n22474 48507\n2283 40791\n10539 23752\n11887 26219\n21651 30125\n3817 17393\n11431 28279\n22676 31471\n36987 42917\n25867 43421\n27568 40510\n11988 36677\n1049 7440\n10839 35749\n14467 30609\n33070 37722\n6471 26846\n26090 41437\n19968 43662\n27480 29110\n15325 34729\n12453 18919\n36845 45070\n1246 43240\n26005 38502\n1051 12157\n27423 29338\n11133 32199\n27268 41989\n15517 46008\n3910 16348\n314 9378\n20092 24369\n11932 21963\n26391 46008\n25067 33103\n26437 43369\n17557 29495\n7521 12717\n3022 24340\n32296 37056\n20679 23523\n2484 17767\n14598 23393\n3407 14760\n19595 25671\n1697 39069\n12160 24527\n363 46916\n3182 37613\n8245 34076\n34376 34490\n38460 48019\n21144 42385\n5845 12003\n25493 38114\n42 16512\n19787 28169\n4267 26776\n3607 13982\n22491 42769\n13016 26081\n7557 32952\n18720 25984\n8912 20376\n16249 23459\n7521 27611\n11712 24710\n18881 37820\n20697 27200\n3018 15005\n8794 45380\n9427 16881\n16645 26791\n9197 31022\n34893 39551\n10521 36365\n11024 20671\n4191 42491\n25696 30135\n12883 18336\n2947 28380\n27848 35074\n9013 20729\n21863 24996\n2522 22208\n30746 32905\n4939 45589\n20585 21298\n18417 38717\n32189 47644\n32206 33642\n12406 31758\n29556 33156\n17553 38025\n17260 41757\n19690 48391\n136 15318\n3615 30797\n8491 17734\n21213 22452\n13949 38502\n22410 41800\n12993 46817\n33317 34482\n33694 38321\n40 27099\n8174 37758\n7808 48236\n3841 46714\n6085 17971\n6007 31381\n7221 11547\n22049 41870\n8987 39414\n14627 48254\n19705 22233\n2761 37270\n15151 45848\n26297 30638\n12980 35491\n34338 34356\n16909 25816\n13220 47647\n2088 13259\n13654 40576\n23410 29913\n21614 27398\n22320 40001\n2999 3455\n24175 31764\n39881 47272\n47 21314\n17886 46763\n31337 35548\n25192 40400\n19841 33116\n26777 39076\n39492 43401\n30601 34398\n26461 31336\n42966 45777\n16586 37533\n1793 38748\n5075 18664\n8865 18077\n28932 33773\n10935 29931\n24513 30506\n8106 17294\n9790 10970\n7022 16937\n9348 29583\n30428 35482\n6842 14127\n9735 42018\n3875 26829\n15190 34731\n4936 41445\n34958 37139\n2083 43196\n9496 46238\n15685 32900\n17245 41545\n5447 31288\n5562 21058\n8844 32002\n32337 36734\n1137 10629\n10910 40671\n14268 37166\n14469 19965\n25140 27249\n11386 31732\n32779 42725\n12180 29955\n15980 22599\n10868 31733\n1249 48181\n3710 6431\n15982 24694\n31150 37650\n18516 42370\n81 16306\n9765 32721\n7133 48202\n11495 24388\n5060 21946\n6952 9321\n915 33921\n21018 47882\n3824 38622\n26524 28230\n25583 37844\n34038 35540\n11719 22541\n41900 44595\n11433 21292\n5575 42700\n29974 36361\n16908 40003\n11859 27636\n31289 40972\n4985 8347\n20186 27389\n36752 37727\n2217 24074\n26789 40830\n2124 26237\n21058 28684\n7388 27783\n8040 31156\n6506 38406\n10660 30935\n5219 37396\n18169 19664\n33678 37196\n12496 12798\n18170 23488\n33234 44738\n24798 30543\n3553 10734\n12476 12983\n16076 17193\n24381 28448\n7199 21722\n47055 48246\n17672 35728\n9865 35657\n31195 48608\n22004 33159\n25089 44863\n6743 17664\n15566 17087\n13132 38401\n6414 30342\n12519 17060\n25458 28480\n22892 41980\n10887 25073\n12229 46688\n12173 12366\n9426 47046\n2111 36646\n7579 45129\n10657 30026\n28575 39703\n2349 13989\n37162 47395\n13088 28407\n35607 42162\n6502 22488\n9482 29703\n15580 44569\n2072 10955\n11256 28479\n18570 20519\n922 40201\n9392 40930\n6505 30808\n37432 39538\n28280 41790\n5289 45347\n3366 21047\n34621 36651\n17714 26842\n10057 19718\n15925 40206\n5892 17572\n22492 25995\n28417 40577\n10185 28333\n36148 44479\n29574 33932\n15711 18622\n6972 29742\n19962 22514\n41690 47923\n28158 47345\n32786 48372\n33688 40841\n5389 45040\n18879 33594\n32842 39198\n16477 37600\n1758 7983\n5836 29007\n16823 28629\n716 44362\n40882 44751\n2323 34147\n14164 14666\n17986 22809\n11913 18003\n33773 40305\n15364 25294\n19116 37083\n20681 36742\n7566 46728\n27410 33592\n12942 48164\n4986 46522\n4566 45213\n3496 13694\n1780 40289\n27651 30008\n8900 42108\n4323 43391\n335 34968\n2956 46794\n10249 13561\n8291 44977\n9358 11001\n7175 17470\n15138 25353\n15210 18378\n2419 5687\n12251 22716\n18031 18114\n11977 13867\n3991 17883\n5341 26052\n5690 15593\n25437 27834\n5396 14314\n35039 43607\n24748 28545\n896 43079\n6659 28375\n23556 35661\n972 6584\n1190 20677\n21156 41493\n4911 37896\n12102 45728\n899 27369\n17189 43339\n13397 21374\n9645 27343\n9494 12230\n21890 28462\n31223 34542\n18278 43067\n12904 43412\n11717 41545\n10123 30550\n22635 44067\n32318 48459\n10466 36018\n2341 13197\n34502 48567\n14981 29187\n6140 31136\n28806 48586\n25158 33839\n33429 35553\n14292 41834\n11612 44176\n3393 4585\n13510 31350\n161 7900\n20621 20655\n17196 23495\n4591 39159\n28175 42929\n2303 40985\n26979 31062\n21899 29247\n9883 36891\n19287 45453\n6685 21203\n5017 34686\n12096 41306\n1489 24212\n9929 10603\n25411 42949\n18433 46362\n13650 43893\n10247 14296\n8300 15533\n37057 39468\n1842 9726\n14745 15798\n250 18084\n1013 22190\n6960 20693\n4332 6558\n31719 47855\n5586 33952\n1760 46421\n28191 36333\n26459 34917\n19532 42479\n12799 40099\n35367 44348\n24589 28334\n2709 44424\n10523 27416\n9522 24680\n20139 37120\n38968 46610\n400 47462\n13413 47577\n17093 27532\n12210 29531\n27003 27268\n35522 48590\n34408 48677\n35722 36005\n10536 11138\n24908 30580\n45749 48664\n1160 34426\n21806 48007\n732 16251\n30149 33621\n5043 37275\n3092 34786\n25690 42283\n37529 41855\n14170 31888\n5244 17908\n1085 20866\n9834 44217\n7460 30685\n43034 47782\n7449 26039\n22722 41954\n28071 44228\n4218 41214\n3595 37463\n8298 28954\n6865 12870\n17799 18862\n13884 39551\n16800 23587\n11048 48406\n16391 27223\n12811 16197\n1186 38118\n20326 39980\n5330 17260\n25551 34295\n15158 16653\n7823 39470\n12765 16588\n29852 47584\n19345 28906\n3935 21856\n3370 15674\n33919 42335\n16995 32799\n10693 12835\n17653 35351\n6784 48069\n4303 9405\n592 30491\n666 37975\n39483 45393\n33146 34109\n5312 48305\n10627 25636\n16580 47742\n1183 44914\n42036 43240\n18229 38186\n12799 24516\n2071 43121\n9806 17491\n29580 30877\n6955 34739\n4671 9651\n599 45116\n22117 36878\n1980 21912\n39795 45207\n3535 7902\n24803 41204\n12802 14414\n7856 14363\n14052 38868\n22295 43911\n27820 42528\n24744 32345\n7934 16743\n5723 28095\n20352 35265\n21973 48558\n9175 46506\n5412 16993\n7448 12489\n14121 21150\n2709 4663\n12390 39662\n1763 28269\n20537 43382\n12401 21168\n22724 27686\n28989 31135\n5641 10012\n878 15629\n7246 13093\n6510 39636\n4918 23451\n13590 24308\n30992 46667\n1086 29481\n38123 48460\n29875 47840\n24166 48380\n30940 40451\n17650 33097\n2141 3062\n1144 2477\n33104 38928\n27793 44565\n5431 42322\n16124 39749\n3716 7704\n22032 36303\n44122 44853\n22481 29782\n39516 44719\n7342 36680\n8959 35946\n2427 31601\n16403 18702\n32142 41762\n5738 28314\n7824 21250\n7296 30379\n31436 48330\n4903 33187\n5530 12521\n25824 32159\n12581 19950\n11612 39660\n8475 37465\n3945 34018\n21005 37731\n31387 33298\n12777 38783\n4731 4978\n22106 30397\n9558 14387\n18912 29211\n12859 19231\n12010 42996\n6781 32369\n6629 18459\n26454 30410\n14912 42552\n36675 40373\n33897 38553\n22204 43501\n27343 30764\n37471 39771\n44624 45293\n25693 43228\n6254 22274\n638 41201\n10937 39686\n39290 43856\n30370 44739\n17814 18855\n25950 47214\n28911 37877\n1466 29290\n39 28666\n32580 34997\n4922 25006\n10334 35271\n23803 36180\n17334 37134\n10103 10133\n12788 35988\n9513 14610\n11394 44720\n31953 40419\n18050 41522\n25090 28284\n22496 37752\n8157 9088\n5419 32724\n10984 18850\n9515 34363\n34667 37044\n42656 48429\n1693 10335\n32522 37336\n7049 20109\n10439 14113\n3738 11575\n41211 42031\n34390 47720\n37458 44784\n18480 19339\n3625 32835\n3538 19942\n8860 37437\n5352 29704\n12632 25137\n3313 44812\n33409 45566\n930 32570\n9784 35290\n8946 35846\n2823 34799\n5176 10419\n2969 38582\n3382 11747\n6303 30131\n7457 37908\n22642 43766\n1314 12037\n8628 48127\n1757 46954\n35983 42131\n1874 21702\n8898 24235\n2829 42050\n9956 27633\n13070 24881\n19366 26583\n15999 38262\n11232 33502\n4298 48524\n14109 24981\n23664 38337\n22293 43018\n28343 35906\n30240 47689\n19690 25838\n16659 30851\n4141 33758\n2017 34713\n41666 46323\n7034 46938\n11137 35622\n24347 36301\n4857 37270\n29929 47494\n22417 40532\n26472 45569\n835 23211\n25903 37146\n37572 47686\n13363 14108\n5711 15651\n20968 26994\n11287 36080\n3494 3609\n24175 39446\n3525 16311\n14696 24512\n5604 15695\n35181 45739\n25766 33259\n22874 45935\n2596 9226\n2673 9420\n16607 22552\n4249 41561\n7879 40797\n16666 34660\n22630 37221\n27504 45631\n22025 31476\n12395 27362\n12759 15883\n14157 38819\n16642 43998\n24439 29770\n14627 23417\n18646 34083\n11344 44585\n16286 30919\n8075 39109\n5023 16594\n15724 36449\n15167 46494\n33992 40401\n14972 26054\n14757 38086\n25890 37931\n4596 36412\n929 45967\n10265 17544\n25113 43068\n24524 32577\n5304 37516\n26174 47495\n103 39146\n18177 46935\n4117 25083\n3030 30939\n15589 35868\n7993 29311\n27040 29412\n2020 44261\n9612 24249\n21100 25895\n14039 38296\n42578 42843\n7996 37995\n39373 45422\n9012 48417\n10168 31647\n3708 8196\n12214 47421\n9240 44380\n15907 29402\n1792 39705\n2716 39589\n18219 33869\n29074 34524\n10434 43409\n23334 41038\n42289 45947\n3160 5803\n22561 43719\n4219 36966\n24464 46181\n5878 36727\n36325 38517\n22819 47829\n5204 35317\n4 1266\n1156 6136\n32785 35651\n17646 21777\n21552 33710\n33535 46844\n17090 31869\n10065 29727\n25404 41663\n677 48163\n20333 31652\n11086 16168\n7423 42796\n11939 33974\n23978 24031\n13031 27320\n6364 34142\n11640 27235\n14904 20324\n26149 47852\n34635 42904\n31661 33158\n4509 11856\n3855 23300\n25667 30979\n12192 37826\n32333 44256\n963 24637\n4279 44547\n16941 32348\n8617 14594\n4055 9836\n5064 34982\n19763 27690\n23460 43062\n1482 43401\n10251 22552\n43015 45634\n4540 28249\n20176 36912\n27767 40193\n3532 35383\n43246 45257\n9442 28187\n5306 6761\n15662 18782\n3376 17283\n33866 45388\n3043 45663\n8477 20460\n637 24103\n9905 48010\n15300 16046\n14183 20712\n1981 45563\n46126 46286\n29865 35896\n9935 35421\n12285 23039\n3226 22047\n19894 24816\n9663 46191\n8264 30476\n38331 44967\n9796 36702\n27571 35558\n21873 38135\n36501 38423\n13615 46012\n25261 41499\n12972 13218\n13476 45433\n711 13213\n21094 36232\n2654 33745\n37187 42362\n16353 24013\n2326 39836\n22769 41537\n18791 29993\n14893 45575\n4535 20003\n18114 25650\n8330 19493\n13530 25594\n693 39925\n33475 45528\n16861 30564\n36921 41955\n34048 46755\n26638 33706\n31127 38026\n32518 42435\n14167 20006\n18278 45697\n3099 25158\n5989 41174\n2662 18406\n11785 33753\n19241 33081\n37515 45306\n20644 37698\n3837 27688\n22537 31785\n15046 36030\n16656 35469\n10478 37029\n18407 33277\n20106 25522\n20201 46962\n11949 28947\n26647 37321\n830 34378\n44126 45424\n30841 45658\n22910 24717\n5267 29317\n12450 21270\n3258 41061\n4564 33011\n6064 31546\n42544 44449\n22615 47437\n37643 43367\n31827 48098\n18559 23218\n411 22788\n5961 7111\n9501 29368\n13345 23643\n17634 23667\n3185 17260\n1416 32392\n2790 15654\n20384 42718\n29471 33392\n3299 22669\n23081 44189\n35192 39731\n25548 41048\n7873 15547\n11970 14564\n24818 42620\n21856 45769\n8241 34053\n29821 34154\n9545 25493\n19093 19840\n3144 8890\n6280 33921\n40663 47813\n4722 22657\n23033 39441\n281 39737\n1002 1224\n31445 34015\n34167 47770\n5130 11464\n17428 27973\n7061 29313\n29818 39580\n2666 28665\n20722 46013\n1133 6523\n23658 27755\n868 43139\n30631 47719\n10788 16745\n8295 10755\n24059 42621\n14761 18248\n10612 34204\n2503 40869\n3570 28232\n14323 15748\n17660 17714\n24131 45794\n11978 33167\n16123 24362\n25108 41182\n10898 38610\n20589 34967\n2917 33750\n15059 41650\n4078 17033\n26517 42122\n2184 28582\n15856 38434\n15417 33619\n192 37671\n3541 45310\n2040 26125\n32839 43349\n2699 30703\n9321 30049\n1609 12544\n16703 33511\n30348 33744\n835 41570\n29863 34662\n726 3237\n18122 26839\n33 1040\n13075 29178\n4816 11985\n26320 39297\n3721 34468\n16812 43650\n13442 22400\n30373 38202\n38286 47260\n21120 33878\n27541 33424\n29753 36905\n14161 27484\n9829 41981\n20228 37493\n40902 46647\n272 22686\n14810 37875\n25997 33831\n11415 25434\n18729 44446\n17229 38680\n3048 22357\n6000 29811\n11630 35269\n22377 30254\n23464 24761\n8766 26750\n13687 32530\n33295 47155\n3300 17411\n39265 48352\n8757 35535\n15184 28138\n22773 26488\n25192 48320\n5743 14034\n32556 35205\n35716 44413\n7667 39255\n18865 29814\n9984 24194\n24502 48050\n28820 38939\n9032 10216\n40007 43439\n13348 34591\n4593 17769\n37050 40759\n12104 30913\n1780 10282\n20007 20116\n48531 48671\n9291 21114\n22024 46797\n11490 41017\n224 14625\n38130 41250\n2324 44650\n39515 40265\n4614 5495\n10910 22353\n20148 32852\n28277 36127\n23587 24377\n6841 20033\n25428 46144\n33865 43028\n7806 43770\n14008 46564\n14919 44282\n15808 41660\n9445 43683\n23173 24232\n20830 23252\n35729 38674\n24524 33962\n21327 44521\n14195 48642\n45427 47600\n6044 37977\n21407 24745\n1025 26412\n3076 19881\n17491 20712\n24446 34680\n18968 19194\n9258 42074\n12929 15606\n8966 22416\n21531 32956\n34000 37057\n12081 34710\n18665 21441\n7858 40199\n28578 29689\n20300 37759\n25885 32002\n22557 40255\n13037 14876\n13700 32010\n12720 36509\n24044 25579\n978 28428\n26264 34858\n15484 45296\n32156 42323\n22053 35789\n3676 43348\n2562 47364\n3623 43552\n27251 35831\n11608 18790\n20438 47805\n30249 39645\n30048 30434\n2552 16245\n4205 4794\n28725 36945\n26759 31835\n8503 44444\n12276 15798\n973 45405\n35584 43591\n12084 34138\n4740 47526\n6809 38190\n16898 21665\n2414 34061\n1885 29521\n25161 39427\n1858 42066\n13725 42542\n31813 36506\n18217 41337\n41824 46292\n36833 43179\n2371 12918\n22943 34814\n3366 37443\n1588 42150\n15722 26507\n2686 11358\n1128 38697\n2601 23572\n75 25729\n883 45986\n16424 31061\n8939 44944\n13465 36992\n4070 43072\n32104 46724\n7183 26299\n24172 26514\n18061 46114\n41223 47934\n8266 42363\n11389 40491\n37930 40407\n2942 40560\n3615 28208\n43701 47743\n42542 43503\n5632 21606\n24810 38292\n12029 22432\n6984 37843\n5423 36452\n2680 14997\n6712 12134\n14905 43215\n7449 33291\n29689 47871\n252 33696\n24966 26296\n8627 36971\n20580 22606\n11157 28339\n10479 34006\n6205 15427\n20252 48576\n19318 23197\n38329 42864\n18985 23591\n211 37172\n37528 45261\n47458 48003\n1862 35024\n2438 4319\n8142 40268\n24508 39779\n10005 29888\n27375 36096\n21184 21990\n5665 17150\n28223 38484\n34183 39825\n25811 38297\n26333 44160\n17822 31296\n14560 19303\n1896 35726\n2589 5763\n9397 14371\n13712 15291\n278 24278\n24667 33328\n2765 46638\n27879 43017\n10163 40888\n30321 32410\n12320 48463\n24610 24658\n1312 11251\n34657 42925\n9981 36887\n18096 41007\n17089 20362\n10710 17127\n28108 37887\n2470 41681\n3978 42003\n19650 39468\n4232 11307\n34881 44749\n11164 14952\n25442 42401\n10600 18696\n1479 1943\n1525 16264\n32395 42951\n17639 18216\n36458 43517\n27686 35928\n32004 46698\n20903 32500\n28895 47374\n19707 39806\n14245 35648\n1223 7263\n21679 28996\n25054 36296\n28714 44079\n1794 38022\n21034 29678\n22507 36154\n8851 23026\n37415 41620\n8765 18822\n12959 36238\n6119 23607\n18146 27622\n30491 39341\n24019 40470\n2623 43064\n408 43863\n13760 20384\n16006 17645\n30465 33887\n28440 44520\n1225 47005\n24476 40952\n13734 20923\n4663 18605\n44622 47880\n6405 29278\n9227 16346\n23871 33723\n24884 32579\n3033 3680\n13520 48582\n6973 39255\n26174 45621\n21339 37282\n34566 44441\n38512 47536\n42217 43720\n44238 46102\n5796 12738\n11226 22579\n8495 33604\n17306 34463\n42488 44840\n26370 45363\n11258 43338\n22101 30789\n33982 46150\n11745 30500\n4429 37703\n1448 44173\n43787 46341\n13276 41623\n16394 32760\n727 20796\n2674 15480\n11045 12294\n41127 42059\n16 46862\n4951 47729\n38328 44794\n7620 22670\n33588 35688\n12145 47180\n6597 32852\n5670 33932\n22810 38873\n7754 23522\n26306 45968\n1844 34149\n36309 36572\n10488 30318\n47319 47803\n20380 47637\n17058 24352\n12079 20020\n5591 11927\n16251 18213\n8107 27787\n8046 16755\n19289 26142\n9969 18488\n20904 27252\n8878 13047\n2116 35725\n24504 31101\n14133 16423\n6809 10728\n2975 44803\n9661 46583\n3932 15579\n8914 44402\n4697 22208\n17787 43082\n5439 7560\n43645 47245\n6533 39192\n916 13454\n8104 39457\n4771 21658\n21509 31458\n5808 45836\n7117 44784\n35281 35760\n431 28683\n43605 47931\n10149 42132\n8287 16313\n15233 43076\n2425 43918\n14079 38409\n19531 36932\n6147 25584\n24257 39300\n19706 36483\n4271 22811\n30214 33197\n25548 27305\n24612 34043\n4845 45616\n22450 24049\n14223 19065\n6652 17625\n43319 45575\n28604 34757\n6303 7840\n1782 12656\n11019 30119\n11882 28799\n18495 27476\n7460 30589\n16717 44084\n7168 19265\n14024 29053\n5571 24641\n26056 43603\n395 11037\n21516 24938\n6065 26663\n2811 14992\n8910 21346\n9403 28018\n34892 47233\n5879 47229\n14486 16620\n9736 20321\n39838 40254\n26180 27385\n24116 35676\n13295 19865\n24923 31032\n32264 46032\n2432 26258\n21739 33031\n6020 22221\n1289 5897\n5087 35458\n94 25902\n31210 35793\n8069 13637\n19793 41988\n10575 22787\n20640 22647\n2473 27501\n19027 43773\n30392 43894\n33706 45498\n5235 32541\n7649 20023\n6420 12813\n5495 32640\n7059 41707\n25172 37876\n19341 25577\n29485 39804\n15529 37321\n36351 36582\n26150 30227\n9938 12852\n14992 42142\n8886 43022\n28324 43110\n12230 38409\n26560 28916\n12350 37717\n2754 22132\n12133 30754\n14496 42458\n2836 41215\n11129 42191\n2481 41680\n2000 20073\n6661 48132\n28034 31573\n2714 40502\n21569 21758\n20533 27526\n12417 12618\n18586 25840\n9192 30865\n21849 28466\n30327 40177\n11203 27239\n33351 41470\n21352 30026\n19890 26303\n3242 35702\n10642 30840\n12450 29482\n28003 28622\n1820 30598\n33209 37396\n10680 34780\n28694 32262\n37835 45886\n21859 38541\n8539 19047\n4628 12238\n18483 40097\n24825 33712\n1739 30414\n39275 45110\n31426 47152\n1272 42485\n25136 36030\n3500 9704\n11115 27906\n28049 37814\n17764 20752\n45479 48526\n11630 13850\n24660 46046\n13232 29507\n29383 46169\n10689 18057\n14738 37360\n1783 28162\n25004 25411\n9576 25533\n28993 46382\n25982 30113\n36381 47994\n8513 26761\n13741 15153\n14925 22878\n19033 46765\n20049 25993\n26557 44679\n2212 16879\n14638 15065\n1831 32353\n11446 31282\n8743 14939\n6568 31941\n34906 39672\n787 7584\n29732 33050\n18211 20822\n34444 46475\n11835 35780\n8519 32461\n22832 43702\n1476 43680\n19000 40934\n10697 31394\n45465 46158\n11155 15548\n14294 18776\n18863 29761\n25368 44059\n251 45404\n15133 16318\n3286 27660\n15838 28406\n1960 34265\n5825 12691\n926 32225\n17367 33518\n3386 48630\n26243 41557\n8857 28615\n14460 24601\n23156 40381\n6950 9480\n29501 44798\n17681 35027\n26015 35376\n5740 18455\n10080 11063\n32078 36933\n15808 27064\n17878 27921\n1013 26680\n2422 38277\n14757 31707\n7823 33296\n31807 43595\n28866 38319\n7734 33921\n32042 47567\n26802 34844\n1420 45678\n5681 38603\n23480 26588\n27671 46521\n38632 39562\n8987 12680\n3516 19159\n25691 34289\n44597 45572\n33771 33915\n14904 15920\n642 17691\n21040 36318\n9225 10394\n10799 28744\n29525 38821\n7950 13633\n21111 41206\n40937 41184\n25985 46820\n7906 32786\n14199 19952\n24669 37584\n6083 19797\n4756 16319\n1400 26803\n13375 24528\n10101 20050\n31055 31881\n8020 44737\n29049 40738\n36774 38461\n630 4076\n21101 45968\n15604 31680\n24890 26969\n44692 47648\n10789 42535\n34008 37888\n8486 34084\n14540 18038\n10058 42759\n6845 7249\n14227 31714\n3312 12563\n27597 40351\n19158 31972\n15464 20578\n11783 43572\n31646 34110\n2657 12513\n9896 17659\n23194 24408\n36328 45255\n8835 46803\n18171 38276\n38203 40832\n12295 24435\n17799 30034\n12238 44743\n9864 36374\n12759 26720\n24720 27398\n9947 45264\n5347 14644\n24858 46430\n8076 45817\n17791 46733\n14833 36355\n17766 32731\n17472 40956\n12755 43442\n15479 39768\n18338 37780\n24701 35288\n18636 27506\n17117 26060\n26835 30628\n10260 20597\n143 8823\n15339 45186\n6384 38896\n8266 29101\n856 26371\n19555 37021\n35857 43337\n22788 23133\n23321 43791\n43088 47212\n31363 44069\n5455 45101\n7977 16371\n6543 18425\n8070 17257\n1871 19475\n1233 31308\n8139 30903\n10318 39569\n17529 18662\n10816 37449\n7373 19061\n12841 20722\n1153 32031\n4791 4804\n3703 16480\n37142 38302\n30565 38501\n12872 21148\n24642 29468\n15354 37592\n24899 32536\n22176 38090\n15821 42623\n2424 42779\n42010 46756\n9994 20639\n44930 48442\n39332 43980\n20642 21729\n9732 42976\n9436 32808\n9235 16591\n27941 34494\n19613 20451\n7114 12863\n28605 40067\n7204 45840\n1949 30110\n18972 30837\n21577 43542\n12895 15903\n16801 24187\n24835 40170\n4315 47663\n2110 41696\n17977 42517\n3208 42462\n41637 45845\n27842 29633\n25439 36756\n7367 38216\n12913 16375\n30947 34544\n9997 12883\n1527 25089\n27363 44092\n21350 35748\n24248 27808\n14388 36392\n25933 30299\n27988 36085\n23929 43041\n30796 31085\n21878 28391\n20187 24776\n15994 37222\n7025 26087\n6479 29148\n14899 33333\n21113 26428\n20209 45398\n30049 44434\n34511 44617\n8691 48454\n9391 18009\n6399 34119\n1668 31060\n18419 43830\n4129 7672\n800 25055\n12508 20763\n8681 30690\n48435 48470\n27972 45478\n5225 12410\n18738 22858\n13052 37914\n20703 45669\n36802 45983\n13477 16260\n10074 24506\n9237 27138\n4148 43712\n18089 25106\n1338 32923\n22402 36928\n22118 39659\n2137 26443\n40110 41001\n29323 42719\n37978 47098\n8743 39577\n2915 17934\n15789 25669\n30182 34886\n10184 40402\n22623 48609\n23031 31624\n8786 10830\n16181 22905\n24030 34883\n10018 22447\n899 38664\n3279 4566\n16483 35035\n14801 36268\n7800 15414\n1635 11229\n137 27532\n557 941\n4406 38199\n27423 37040\n21571 38385\n10945 22834\n15292 34069\n4880 5126\n18748 35172\n19254 19907\n16019 40439\n31638 40045\n12228 21696\n11346 21876\n9401 37492\n270 12825\n493 45157\n20491 36634\n9554 19192\n36458 39527\n1267 42090\n1401 13913\n46918 48650\n23696 46952\n341 34470\n16387 27972\n3938 10898\n25393 32506\n14694 36903\n4370 35338\n9165 42979\n3976 46513\n17160 27656\n42945 46025\n5628 9256\n22351 42338\n28255 33114\n32042 39846\n24964 44290\n32284 44488\n35852 44640\n22105 23784\n6451 22681\n5273 39281\n16706 39001\n11055 27595\n5914 42771\n10006 39236\n19347 25224\n35507 45386\n15262 34192\n13232 48096\n21340 27498\n40472 41618\n13553 25038\n18953 35162\n35152 47005\n14339 22880\n7168 24384\n16713 46784\n22136 47179\n20248 35356\n14845 44605\n11163 27846\n19961 21502\n28941 42719\n3914 23525\n3916 21684\n7731 13533\n4840 34284\n6874 16971\n12925 27196\n4649 20949\n10155 35537\n21274 35014\n1409 14034\n26307 42236\n2865 45922\n11660 41941\n30687 46267\n9585 32037\n32926 39059\n8090 45615\n18805 32167\n18504 25610\n12504 31753\n35446 36896\n12429 15084\n36080 44169\n4300 11173\n30928 46090\n21453 44011\n33088 45740\n6639 35833\n209 2129\n14188 40824\n806 38529\n12100 46219\n7932 28691\n29064 31327\n19021 46776\n24740 29887\n4558 23141\n10604 44532\n9331 18277\n8567 43628\n19006 40745\n6344 29709\n39790 46380\n43554 48490\n1293 27217\n27463 40688\n1829 30012\n36918 45326\n4847 29188\n11073 34767\n14235 18936\n341 4413\n6477 37119\n14008 15348\n10213 39924\n6459 27082\n36629 46773\n5766 24204\n16201 36960\n11820 27211\n19322 19755\n16806 22380\n12300 24544\n2561 7790\n17644 19810\n12777 20933\n10560 20869\n15897 44781\n25651 38967\n2116 29366\n21866 45777\n5275 27289\n41488 43575\n37442 38090\n1459 12096\n1133 36107\n30367 34331\n20769 31448\n17391 45769\n15570 33654\n16010 37971\n10849 16900\n2868 30177\n6720 26996\n21591 26485\n22471 43540\n1757 28923\n7756 10739\n23432 27039\n32654 38241\n29055 44281\n645 37637\n3905 26274\n18941 40406\n25827 36513\n16055 28892\n40020 47053\n4139 47910\n29909 48039\n11576 17032\n27053 47925\n5806 11151\n9242 45678\n37402 38047\n31205 45171\n8249 16307\n10370 25922\n31230 34509\n24215 24457\n1669 5720\n28253 41101\n1838 10906\n22963 38023\n4393 28558\n41171 42255\n4607 38606\n24222 45225\n6434 30378\n5796 31359\n16837 21647\n29015 31427\n11508 21941\n8928 24644\n29387 31339\n10451 14770\n40544 42768\n41730 46912\n5665 46977\n17160 31480\n20329 23817\n6898 8479\n15183 46034\n16084 44269\n29329 34284\n13935 40743\n7378 35670\n5607 37496\n3742 26292\n19813 42956\n6213 6270\n604 21518\n31308 35193\n8195 31823\n39731 43759\n15771 25200\n8121 24533\n1574 9459\n15496 37063\n10382 19228\n11175 35902\n13014 39412\n34645 40964\n10880 39542\n14520 25391\n27816 47992\n16572 46255\n5963 23021\n30989 34315\n957 13503\n14452 18558\n17564 31335\n10675 41138\n13628 48667\n409 21155\n9005 13420\n43323 44332\n8671 43465\n7053 46144\n3325 45182\n29662 33721\n17106 37604\n19266 41736\n5091 34772\n19609 38481\n5810 39510\n28515 35112\n33173 38272\n4864 32676\n483 40513\n29181 42410\n522 16867\n2394 39658\n6945 13614\n2653 6052\n11743 17839\n16470 42162\n22345 31194\n30948 39750\n12667 37447\n9755 11765\n14833 14853\n36464 39903\n28692 39559\n21566 32261\n9615 9743\n5751 19582\n7570 11872\n10403 15359\n13220 44506\n20668 48121\n29441 47675\n893 3589\n3668 25574\n183 14444\n16108 30753\n23963 31103\n1486 1697\n18805 38839\n4015 32083\n4987 17406\n34435 43485\n24934 39646\n545 16772\n14015 21591\n7309 10034\n18035 43326\n38495 39660\n4735 41385\n18238 36035\n19631 27783\n26110 32344\n14125 47910\n11986 31666\n3275 8679\n1802 37017\n7210 34525\n29658 37319\n9941 10181\n14766 36458\n12575 38639\n32795 45880\n11346 41754\n4688 33249\n5690 34849\n4587 5776\n24026 41621\n9632 45538\n4425 31287\n3269 21205\n12475 14552\n4658 23927\n30420 36464\n27340 29637\n35155 38292\n15931 29167\n45949 46349\n10935 40934\n9680 26304\n4529 9575\n13927 33329\n23171 27117\n5730 28163\n5000 23817\n864 1835\n23345 34391\n14505 14636\n1934 3075\n19428 29496\n9223 48028\n2699 20989\n11009 25531\n8050 9066\n10702 22496\n10657 25614\n24013 42637\n34274 48428\n3349 28725\n28196 38193\n42420 45245\n8275 35535\n13144 24441\n6228 30336\n12984 15893\n12940 17365\n39092 45052\n13624 43246\n35249 39950\n30406 44546\n24694 32195\n4508 48449\n6516 21600\n6038 16853\n16531 24477\n25912 40808\n21113 48330\n18132 24715\n3947 36516\n3477 9759\n767 29690\n14297 19939\n4278 7706\n8487 38511\n2582 13748\n37264 42152\n18386 33347\n24393 25517\n417 44499\n6654 43152\n2320 39196\n3877 44153\n2320 47813\n1678 10532\n11902 31194\n9345 48434\n16523 17115\n30464 31975\n5087 15804\n26232 39050\n24041 44468\n6678 40445\n27280 39478\n10188 43114\n5633 19892\n32539 40233\n14990 40765\n31215 38951\n17564 24038\n10890 13062\n1243 9769\n21635 47425\n744 20851\n2540 15230\n13288 36802\n41241 45907\n43683 48221\n4245 34338\n16010 33384\n22919 40666\n21993 24953\n1743 30011\n16857 30342\n8443 8569\n26367 37826\n17860 22434\n12686 46083\n25463 26679\n23861 35824\n4618 38817\n23239 31914\n7553 23112\n4821 40908\n5786 35295\n4942 13049\n26704 39895\n15731 23826\n22042 26830\n5338 29682\n20067 46111\n27377 44582\n4743 10382\n5095 21987\n3646 21638\n12020 26502\n12256 41508\n8342 10912\n7486 46265\n11916 45868\n30176 41278\n18945 25473\n24287 37232\n10538 27927\n7799 19990\n21681 42025\n3205 31604\n2445 43482\n1689 43725\n30126 32462\n8402 42465\n12815 43358\n5287 5668\n36030 42300\n28324 32032\n17576 42962\n7798 25140\n7907 10572\n9134 30724\n13816 33733\n22944 36432\n1628 17848\n3022 38561\n28282 33199\n30699 35111\n32890 36335\n17671 28014\n10793 36152\n8705 20649\n2981 17776\n17049 45372\n17773 36902\n9871 38898\n37731 37863\n13352 17864\n32301 38817\n42492 43503\n40760 48512\n8275 21116\n1016 29142\n15525 44567\n4692 18916\n38635 45952\n2751 13153\n16980 44872\n15798 18066\n13851 16326\n21198 28850\n38629 38971\n8239 33248\n42682 46346\n1408 39343\n20298 21332\n28750 34241\n36235 39148\n6412 33361\n2621 46977\n17830 26048\n7890 43428\n3361 6739\n16192 43718\n7957 37333\n22856 27904\n31641 47586\n9059 19177\n29616 43220\n17242 20283\n669 26067\n11091 17136\n9095 36246\n13319 18055\n35513 45021\n2950 7494\n861 28737\n22717 41939\n546 43250\n22149 23332\n23790 31168\n11803 25837\n9810 25444\n6577 25023\n5252 36261\n20356 35277\n3692 18864\n29907 43345\n2741 32207\n20949 34004\n36773 41515\n23766 46477\n25764 33731\n23452 40871\n18406 26944\n18751 42155\n6957 32233\n14088 34929\n12012 20591\n3360 33001\n15607 19917\n15763 34409\n11119 25807\n41719 45460\n14391 22868\n3105 4925\n27951 42071\n18935 36413\n1002 18861\n2448 46154\n6308 19061\n21563 26966\n21544 44463\n5920 11125\n7703 37134\n3877 32412\n28950 45122\n21830 36827\n9484 25795\n23862 43536\n39904 42161\n11468 18658\n16603 25633\n5078 33307\n17071 42504\n17059 36787\n26146 29380\n4205 29306\n206 22178\n18734 38104\n6034 42396\n31576 41414\n7652 31700\n7880 15077\n2923 13057\n18926 39346\n10058 16995\n10661 23190\n5858 27178\n1403 16252\n16685 39400\n27443 30424\n168 10887\n25220 25955\n28743 47819\n7025 18757\n34106 37109\n15167 35976\n24 9177\n1007 33030\n27382 47031\n32817 33848\n40054 45748\n33475 37403\n21938 34630\n14133 26305\n906 41025\n8378 8778\n25956 34224\n154 37402\n8964 22796\n9498 30780\n197 18130\n21751 29633\n23420 28770\n23527 33510\n10885 15153\n23457 38234\n3441 10734\n26862 46300\n1806 26069\n29473 34162\n17020 39375\n11173 35488\n16811 25552\n25001 48310\n29441 31876\n11871 35737\n45369 48476\n16175 38550\n3253 10334\n18600 31037\n7622 37997\n8268 19466\n5696 40552\n12088 13045\n3807 12144\n35121 47471\n15743 42068\n39681 39715\n26828 27806\n10725 41046\n7145 46255\n7325 22061\n3523 47380\n6269 22087\n2795 46423\n14422 30797\n13362 36587\n6104 28587\n26383 44807\n17733 29482\n12989 46078\n31290 39960\n14602 31598\n32625 45356\n2303 17861\n17229 45885\n13019 29307\n2240 2834\n17524 18114\n50 19327\n16386 37972\n18733 45497\n5417 29725\n4226 39784\n2145 31355\n27730 47840\n21950 30541\n1062 11395\n24377 31366\n3836 18818\n4908 27718\n1705 27179\n7510 28062\n33671 37753\n5246 13616\n7805 31310\n4110 20699\n29867 38012\n2036 28730\n16462 36792\n4338 12303\n27938 33204\n22923 36357\n46040 46367\n1963 28713\n22823 37099\n44185 47851\n1879 32729\n18951 27981\n18392 32163\n34953 38672\n3621 47820\n17953 20605\n25391 44263\n7694 35671\n13844 41685\n6435 14376\n22495 29397\n1585 13443\n18018 19967\n26869 41717\n21922 39147\n17449 41267\n8869 37361\n6604 36472\n7041 42376\n8447 26147\n947 37557\n18656 28970\n929 10067\n21400 37812\n14496 22019\n734 38377\n30843 47049\n1632 35479\n12658 37116\n24454 27547\n18013 42738\n2835 8930\n2152 28014\n6642 32410\n29136 46260\n29172 40324\n12110 45163\n1143 7998\n35710 41760\n25431 28660\n5162 45986\n5868 8146\n9205 39558\n34809 38039\n9440 9529\n23434 32070\n13237 14005\n26652 47646\n12004 38838\n1205 33647\n33100 39130\n17770 45511\n4060 38657\n4455 21172\n9922 36240\n16435 42173\n12404 21304\n18478 18511\n20117 32667\n27432 28151\n19030 20705\n18141 34380\n19721 34124\n15132 39298\n9757 42015\n887 3726\n7208 24999\n5772 33941\n8848 46253\n15710 48072\n6396 30797\n1848 14237\n20341 46130\n6949 7626\n6234 32737\n7482 9397\n6078 40164\n27215 34728\n476 9728\n11655 23701\n7368 16961\n28525 41705\n10840 43045\n2615 35222\n21540 41692\n13953 14866\n24162 30146\n14819 16737\n9507 23991\n21426 32406\n37473 41189\n47043 48237\n1062 15309\n22580 30623\n13130 15527\n18946 45148\n9736 31543\n23008 42748\n17351 38689\n702 12246\n30746 42681\n8385 44298\n24773 36987\n29748 45979\n6250 27249\n2571 44729\n30092 41654\n7778 33406\n3481 15320\n41410 45950\n14878 43586\n15045 28868\n2856 9041\n588 34410\n16939 44198\n8142 39621\n18370 44040\n28288 44025\n31297 46507\n5936 38096\n12206 43711\n11832 22256\n23641 32063\n30197 38638\n16355 32502\n15297 36066\n86 19516\n24895 38411\n6216 18676\n4104 14901\n13373 47716\n16473 38075\n2209 14866\n20016 22308\n4918 27399\n9604 35777\n27246 46228\n25602 45630\n4238 43774\n4506 41785\n1945 14306\n714 31566\n33548 43314\n4620 20731\n1996 30376\n27410 43623\n38806 45838\n22612 29099\n17236 37483\n12824 42212\n29775 44279\n14349 18837\n1962 25094\n4216 31671\n1928 32329\n13879 37277\n528 28683\n7298 43427\n1620 5120\n92 2356\n24920 28749\n6486 38811\n4632 24583\n27326 34600\n17798 32232\n12087 23312\n14879 28778\n19050 46217\n547 16390\n42241 48347\n32167 40778\n777 35616\n2813 39856\n26762 37020\n25151 46494\n1271 21587\n34088 45463\n15566 45273\n6061 7563\n11564 31814\n8052 17153\n128 2959\n10067 21640\n21582 40909\n1922 26986\n26653 27965\n16592 34320\n23996 35517\n18033 21128\n3588 20240\n17717 29512\n6510 41995\n33264 44421\n45021 47040\n22862 43956\n19090 43561\n2044 23773\n851 2856\n30993 37019\n39082 48130\n39753 44926\n19605 20833\n26329 37945\n154 21741\n7168 38888\n14948 45011\n2765 20542\n18945 48479\n9316 16212\n19161 42924\n1464 7965\n40578 46157\n8392 32151\n42876 45911\n26596 29912\n15988 30450\n18189 22779\n22257 40541\n17361 43013\n13033 34380\n23375 46790\n9553 12346\n13653 44360\n2879 41742\n28958 30403\n10891 33616\n19214 30371\n26903 28988\n24655 25065\n843 13952\n21608 31774\n27903 45790\n17787 33391\n12229 33715\n2175 30236\n2238 4621\n11798 37704\n30030 42587\n669 1492\n1599 30349\n16079 20731\n18011 27887\n14844 15532\n5602 7035\n14783 39601\n6840 14586\n9597 45860\n3110 41142\n32889 47973\n5228 27423\n4236 27057\n10529 43216\n812 40532\n23220 31629\n552 6107\n27815 36176\n6888 38046\n19234 42194\n21706 48283\n466 41417\n6653 42721\n12918 32334\n9719 10658\n9484 12323\n23250 44277\n25599 38039\n19389 31586\n1118 42287\n868 6343\n19904 23893\n17286 17671\n20209 28482\n7809 35370\n25140 33314\n6760 29615\n22875 31263\n15502 47007\n5451 32663\n666 44126\n34562 47756\n13891 19144\n6122 16777\n45 25220\n20704 46212\n1085 17120\n12229 28474\n24795 45846\n27282 46515\n8275 33564\n16035 26279\n33452 46989\n525 13875\n13484 30686\n24314 39687\n2467 48124\n18260 44840\n41173 44094\n8255 31796\n33110 41343\n10505 13857\n9874 35769\n4963 17483\n3171 13870\n8429 17712\n23232 38234\n1051 36799\n3486 34226\n30306 34114\n4269 21582\n25862 31510\n32071 32237\n3214 13685\n3424 21622\n23588 26475\n7122 26435\n5393 45388\n18160 41077\n19759 47683\n26433 27542\n4405 42686\n23261 39809\n29053 44597\n10072 10909\n22992 23440\n4436 23087\n23490 38222\n9069 22868\n1161 33861\n17409 24121\n8153 20345\n4677 29865\n2512 16958\n32097 35365\n10032 42125\n37165 37251\n1895 9208\n12316 18773\n34490 36045\n8423 12276\n19199 24737\n45249 48367\n15238 19902\n15330 30405\n18219 29819\n15157 43184\n2287 17930\n34809 36059\n31869 34476\n25665 37122\n35329 45370\n12402 43899\n12602 40898\n20538 25812\n18136 36456\n19168 37194\n14156 28475\n28802 28944\n9863 40967\n17318 44801\n11643 19203\n27864 41654\n2008 37960\n11675 25222\n11296 18620\n5900 9951\n7084 19067\n7058 29194\n266 10564\n36261 48048\n8758 24919\n10282 28753\n2892 19931\n32368 47903\n14 14964\n5737 46847\n19663 39137\n12369 39750\n6015 31716\n47511 48236\n4731 15412\n16602 24276\n3338 15873\n7982 9595\n22236 48454\n4197 42719\n390 26924\n10874 39906\n10229 35477\n20143 24678\n12884 26770\n29166 37566\n35044 38293\n29388 40623\n15740 36890\n29749 48144\n21528 43993\n37515 42398\n40429 43542\n9957 30464\n3197 20554\n37186 48424\n28828 36416\n5025 32027\n7130 12386\n7864 42926\n20811 21409\n17218 46020\n20210 42549\n21193 30488\n16723 46756\n5767 18382\n4849 21087\n588 29809\n5051 16256\n45646 46222\n22522 40198\n41727 45475\n1293 30031\n12605 44794\n19592 41538\n27891 30180\n35466 43320\n6362 36369\n8518 24512\n19329 23936\n30635 33837\n30192 36590\n17026 18276\n11471 21872\n7225 47305\n18836 45513\n39088 41103\n30286 35825\n1381 32040\n25786 25842\n10517 26168\n4077 45885\n15683 16181\n1068 5223\n15422 29995\n20905 35405\n2754 9870\n38395 48124\n8359 39750\n7670 37436\n19180 37569\n5099 42549\n17150 26014\n15376 41580\n8048 24042\n32590 47089\n13198 43044\n20647 21187\n6668 26106\n9609 37176\n25799 36734\n2590 20565\n18521 37909\n3569 10260\n15820 22358\n2512 11740\n16013 46994\n30300 45334\n12026 42346\n32817 47673\n14343 48077\n2229 22960\n5978 25000\n8697 45870\n6676 27903\n7971 14674\n20684 38592\n7138 29244\n20071 46927\n17918 37940\n28880 41103\n4502 10063\n35589 39496\n9399 41510\n23965 31253\n13564 32776\n18291 46369\n32523 40273\n41748 43486\n10934 12330\n14928 22165\n7546 45532\n15196 21899\n26072 28714\n6700 27504\n10171 42253\n9823 14018\n10505 37517\n35412 41201\n10495 42700\n2401 26623\n9369 33530\n10430 15357\n12065 43388\n11575 26764\n30043 35537\n12443 39988\n10205 42382\n11037 32606\n15307 29620\n19207 37255\n14838 28721\n23445 39519\n23006 24717\n16913 40549\n2310 10063\n622 43613\n36616 38089\n31124 32828\n8210 37511\n2882 9323\n4955 35864\n39222 48060\n45338 48267\n18516 35811\n34619 46436\n1576 35830\n4513 38933\n3534 18255\n27883 33451\n17306 31987\n10247 23073\n15508 23859\n3201 34903\n6089 36185\n40263 40421\n9957 29021\n2135 41164\n19439 26986\n7950 41782\n17583 19872\n27783 38340\n3411 38711\n13820 40681\n8749 22450\n7353 13879\n26505 41455\n14106 19857\n6625 42046\n34924 41578\n21011 25270\n20407 35485\n14523 37886\n10201 34080\n29611 47901\n22227 24276\n41185 47999\n9254 39420\n21126 23224\n32842 47593\n4171 6312\n13188 39924\n11067 27380\n14349 23245\n31046 39765\n7111 18965\n7677 28813\n6495 48054\n2099 28389\n1133 43593\n4010 15858\n17900 45191\n3064 12903\n2409 23479\n28850 36969\n10574 46059\n15050 25706\n32851 45700\n16867 32676\n11332 15881\n19455 44454\n15937 19182\n260 28395\n16019 31918\n8407 48603\n6992 17332\n9595 34568\n23 47915\n6882 35578\n16408 36348\n20489 33110\n14225 21897\n29645 34752\n16966 42658\n15010 45415\n25061 28279\n1050 45680\n25538 33219\n4735 7529\n22285 39210\n569 37034\n9180 29554\n16532 18840\n14999 16499\n9991 47583\n843 15087\n33200 44037\n16616 24990\n35661 39670\n19270 44065\n28366 41342\n11571 39263\n24832 41617\n8927 14961\n11359 12468\n38056 42410\n13804 16304\n9159 11799\n7452 43504\n9279 36114\n17091 17489\n19044 20864\n4865 47398\n11357 47133\n6758 7961\n14293 40639\n5679 44378\n14278 26005\n9125 43827\n4945 45608\n24653 29159\n14749 30899\n20782 43322\n14306 34730\n27323 28860\n14367 37519\n2983 19316\n16076 22862\n4039 48024\n23784 29542\n16398 44616\n14031 19061\n24494 27051\n33721 47062\n27930 46044\n10022 21193\n5185 23551\n17843 27617\n21926 48650\n14619 26735\n14655 23857\n5421 13718\n3075 6154\n3013 10964\n7165 41274\n10773 42466\n35443 36274\n24062 33310\n5842 38808\n10535 13177\n95 33620\n13893 38680\n21365 35717\n3880 43258\n5524 34449\n8498 38429\n10659 28746\n8803 25392\n26929 27801\n12837 42703\n24746 33133\n13142 48122\n14098 19393\n10812 21249\n14232 30066\n19933 40744\n40729 41432\n5071 30963\n2980 28105\n3589 41854\n16448 23589\n42024 47020\n25353 25440\n775 11243\n18149 45929\n30454 40418\n22013 25928\n5162 30658\n8038 21503\n7228 32315\n8263 33985\n39054 47619\n998 3324\n6497 42219\n17798 48489\n39642 44672\n13310 16210\n13391 46585\n509 3888\n7388 21983\n15993 46962\n6120 41451\n30034 38989\n6610 36194\n11176 33408\n6260 14547\n22601 35397\n19524 19875\n27491 47265\n16110 32136\n30527 38301\n27551 31361\n15750 25572\n15538 48215\n9964 21317\n20703 35855\n20207 40478\n20606 38827\n873 22312\n27401 30196\n5860 42052\n15493 17446\n29094 32859\n2768 14618\n886 21280\n969 22438\n17233 23019\n28041 46129\n10948 30259\n15999 36146\n17472 32953\n5297 16259\n15093 33202\n39282 39508\n10546 42218\n5869 26931\n6006 45173\n13580 25629\n38062 44524\n4468 44606\n17240 31900\n23775 48334\n850 26287\n10005 25907\n6143 35248\n14052 22582\n256 34114\n11685 21456\n27286 45193\n8984 27466\n26184 48542\n23292 40988\n8089 9737\n10491 32532\n17374 25190\n33182 34707\n29691 37150\n29416 42052\n9147 47576\n44575 47041\n16761 39107\n5688 26931\n14826 17676\n22855 23492\n16718 22241\n41048 43389\n6866 25472\n19472 22834\n15504 21628\n3207 35333\n375 31790\n11790 37821\n8848 23330\n8886 44698\n6555 35771\n1048 43833\n40996 41672\n9653 35622\n19536 44630\n14518 21817\n3370 5715\n12930 16297\n5827 46077\n22894 25830\n14212 29985\n5919 44435\n1389 28145\n7360 26000\n13437 32176\n12936 29537\n8281 34774\n17034 36204\n19685 48549\n8301 26689\n18404 46534\n22597 34685\n19166 41681\n1284 6818\n20005 46425\n3148 8643\n23890 40404\n8469 9583\n2302 34950\n3845 30898\n45505 47253\n35538 41596\n411 31539\n24592 28220\n19637 22381\n12210 35889\n13612 23996\n8688 16201\n15510 35987\n11261 36456\n12312 42587\n17843 33578\n39204 40292\n17385 23195\n13973 48203\n18916 33899\n14147 35675\n21027 24457\n1087 26355\n2407 14133\n910 23746\n14074 48135\n8815 30607\n16275 39234\n1570 32230\n28947 36594\n15366 21289\n16725 44503\n25848 40904\n5380 15399\n23087 30619\n20308 21624\n13132 23140\n12693 45775\n5227 43941\n11971 30132\n18776 19803\n4278 6603\n6150 9239\n19212 44506\n33121 47534\n20457 30072\n11300 19813\n4099 23742\n4114 23564\n4925 38113\n5630 34317\n17659 20149\n488 16755\n7114 40388\n21196 47032\n9021 23947\n22007 46157\n25868 44039\n3384 39715\n6595 7829\n18688 22216\n2679 36594\n2299 25208\n12423 47560\n7754 45669\n19232 33368\n31947 32005\n16351 33188\n14253 26669\n18678 33858\n21107 27950\n559 48130\n3442 25648\n5223 46887\n19735 35884\n18350 42685\n3196 41135\n716 46201\n7618 34967\n27595 30878\n12272 33374\n18569 41766\n11326 22489\n14044 41248\n25918 33831\n39346 41843\n22020 22196\n5561 35439\n13341 19250\n4482 44608\n13400 16959\n30682 34956\n31749 40874\n11454 38472\n7930 28581\n13533 21564\n38054 40719\n30308 48157\n37141 40474\n4384 8947\n7788 33346\n19869 39347\n18675 35261\n13940 16190\n31982 37195\n2867 26669\n10015 29935\n20700 29168\n7997 10295\n32846 32985\n47109 48137\n7170 12695\n32542 42737\n21473 40688\n38700 43121\n15380 41228\n5824 41832\n15513 19417\n22472 43694\n23204 42237\n23505 48502\n4394 36452\n7780 15217\n6332 33649\n24595 36513\n20113 34360\n38111 43067\n20254 41795\n13610 35552\n14073 27045\n9015 9496\n19217 46991\n5997 23943\n25050 43890\n14750 31641\n557 17958\n3165 14421\n10742 16205\n39468 46899\n6482 31390\n5962 18047\n3952 13776\n45760 47984\n28570 30229\n16165 35265\n26908 45395\n7523 44398\n12414 47722\n22197 22784\n1001 46162\n12267 42094\n1176 39786\n23731 38602\n3309 6902\n14090 34142\n8317 19524\n6770 6851\n28552 30628\n12409 45662\n16370 32801\n1846 25244\n2565 47332\n138 20796\n9331 9541\n24997 31601\n14997 36373\n6436 9541\n2595 16572\n43287 48563\n5034 31289\n18464 46124\n32271 44046\n1908 44118\n6252 26720\n89 46221\n40059 42584\n24915 48181\n6680 13491\n2692 11733\n25062 47495\n3605 3650\n323 33600\n28947 47078\n10568 45211\n10921 16429\n2002 3192\n38671 44272\n28176 38739\n25597 26332\n9473 15571\n22126 28976\n35340 37697\n562 7761\n14876 19367\n16659 44916\n28301 47537\n10627 43621\n5337 24868\n33604 41644\n268 14049\n19615 36022\n3503 35356\n16918 37739\n22758 42757\n9964 47389\n20438 42777\n31705 34816\n19338 19750\n31241 48281\n44045 47455\n26865 35020\n13396 29972\n1777 15334\n29069 37989\n25561 30902\n3720 46808\n11679 31083\n634 30979\n3830 23482\n11182 29749\n7675 31472\n2725 9335\n12839 44859\n36087 41021\n4637 46684\n4699 43071\n1403 15854\n4139 16435\n3061 40811\n15815 20045\n36168 40015\n22570 48550\n6317 15656\n7159 17277\n14461 42506\n29755 41870\n10887 19857\n16944 27106\n26993 47182\n1249 33799\n9282 39556\n16965 32827\n16487 35150\n34647 48472\n30393 42030\n1272 30378\n9663 11735\n9216 44549\n25041 28616\n19638 26205\n38505 45126\n36383 42100\n28987 29415\n26035 31448\n13328 43416\n19062 23681\n8632 40069\n2129 35720\n29957 35878\n12608 41142\n42878 46957\n12000 26639\n21615 47562\n11785 46414\n20518 26199\n5386 23324\n6437 36768\n18247 45286\n43487 43743\n33011 39221\n7691 30732\n6290 12134\n15415 37687\n12447 25345\n43174 44757\n9266 18969\n11768 15705\n20120 23866\n5932 20032\n12754 22746\n11506 23659\n9698 45885\n25531 32460\n10542 39327\n35393 44914\n4803 34776\n6775 12798\n11491 39579\n3576 16051\n19694 43402\n4487 40355\n21511 42298\n24822 47628\n5547 30813\n25067 47254\n4170 43135\n13136 34794\n16486 34730\n35780 45398\n37427 47987\n21257 43047\n18732 43773\n23456 28209\n1486 42550\n6385 30125\n312 8908\n11882 34454\n47848 47855\n4786 44720\n24553 34067\n21967 40846\n313 16178\n6346 45827\n17450 17616\n38427 43868\n22088 28267\n2097 11065\n40371 45373\n16514 37290\n2603 32968\n13010 36415\n17392 27873\n25878 35983\n34689 48044\n30130 36840\n7505 19731\n36084 42373\n4125 42398\n11763 12606\n34731 48336\n25892 43942\n29703 31628\n7919 46939\n4992 5440\n15845 43817\n21904 47675\n918 22332\n7177 15133\n4542 37362\n20090 23789\n6611 27672\n3323 16567\n22987 32369\n10705 18595\n1889 27253\n41535 47783\n29798 41921\n16273 25531\n18401 38255\n18538 20485\n5627 19682\n395 35609\n34865 45772\n4772 19219\n105 38391\n3567 39227\n14415 33941\n10744 27690\n10712 28871\n41418 44594\n4537 7993\n21574 45319\n1274 9311\n42111 47674\n3199 21483\n28995 42237\n11752 15667\n8129 43623\n20855 41913\n8161 24724\n14061 44376\n2315 11251\n29419 44579\n30100 38365\n4274 21563\n10525 31381\n473 46950\n10286 28770\n23229 35844\n24529 43101\n26333 41615\n45975 47350\n3824 21954\n33867 47797\n15359 48489\n28565 47236\n7993 9452\n3671 28387\n4402 43444\n12063 40578\n40198 47643\n40093 45917\n3762 23454\n17069 32236\n24056 35593\n5097 47760\n20871 35768\n2899 26654\n19951 36123\n9898 29716\n9379 36560\n12036 18029\n27165 37691\n1909 17125\n11970 20690\n4630 31433\n14564 26796\n1490 39884\n34217 35789\n7781 48271\n30323 33862\n9270 14528\n6232 24887\n1105 35836\n7825 39224\n3906 20507\n1421 11884\n3004 38320\n14198 22905\n4466 31910\n10879 22622\n21007 44616\n30890 47362\n3498 35721\n5407 30640\n44465 46446\n6419 34206\n728 21875\n19529 34754\n14917 15450\n34206 37395\n4148 44645\n12623 31838\n997 7384\n8488 37262\n41486 45947\n24653 43976\n3193 12716\n21010 29030\n3743 25265\n16388 24238\n6819 21869\n5548 23209\n28524 38542\n20072 31918\n26795 40332\n19497 45351\n41639 44036\n6679 33117\n42316 46645\n10725 31223\n30781 41925\n13922 40585\n9048 48338\n9606 11298\n8393 28000\n32461 45282\n3325 20777\n2515 48463\n4221 31774\n11461 31988\n25199 28216\n42129 47015\n4027 15477\n10954 30622\n15505 44984\n27692 32224\n30235 33775\n3192 40430\n36524 41852\n10558 18880\n13968 37077\n14477 31078\n25886 47682\n27272 43039\n17247 27314\n11537 13729\n2804 4570\n25354 31060\n10802 44444\n15297 45856\n15006 34400\n8158 27252\n13693 41086\n19429 28035\n14398 30775\n9203 11197\n3743 24513\n1761 35839\n3718 35251\n24789 35747\n9472 46797\n34394 43409\n14493 34702\n2967 17817\n37531 45650\n18683 29358\n9584 14493\n8066 16539\n8741 33520\n17025 47918\n10718 42495\n10510 24646\n26946 33222\n263 26816\n5781 21862\n17834 21655\n22698 26097\n8785 24143\n11086 14040\n703 36297\n23329 26885\n144 28232\n27018 40221\n6032 47308\n12605 35289\n14326 17103\n1788 29354\n11201 22530\n6498 12561\n21874 24344\n12273 21579\n9433 18124\n1428 35297\n1213 29046\n33193 34862\n287 43619\n9860 10183\n2800 8148\n1811 43322\n10030 42069\n4125 10676\n22118 30398\n476 608\n5691 42191\n822 39436\n31622 39240\n770 41354\n3605 43573\n1669 4369\n7186 14165\n6659 40131\n22299 44500\n18363 39382\n43494 46002\n8042 31884\n11765 47774\n30011 48312\n15809 19278\n14870 47456\n25236 44834\n16691 47082\n17968 22490\n18011 32893\n10301 38985\n4788 25889\n39365 42081\n33238 38027\n10305 20202\n15057 31026\n6287 43289\n2481 22600\n505 42052\n28423 39940\n22230 31480\n9380 10135\n4332 15203\n28208 40871\n17035 22430\n25306 44439\n23226 41006\n22711 33831\n19904 45972\n18056 19002\n35545 39088\n19559 33965\n17932 45160\n15196 29988\n1281 20457\n9498 21278\n596 30737\n36455 45862\n16629 40263\n2383 25971\n26593 46143\n11408 20950\n31810 37001\n2823 18021\n16802 23221\n5645 18476\n3469 45629\n14071 45411\n27710 44573\n4588 35656\n527 48541\n38162 43604\n8093 15095\n8858 24210\n5809 43852\n11069 41658\n1028 26291\n33850 37970\n24007 32530\n18756 21051\n3461 23452\n15282 46865\n32278 33663\n12745 14176\n15593 46052\n20395 21549\n29552 32467\n27476 31976\n38906 45949\n74 2185\n21098 42707\n28032 31919\n26981 44595\n41576 47385\n11360 38322\n2300 30009\n38075 45502\n6160 14185\n9997 29347\n36278 38502\n8959 21412\n7656 35422\n25096 31146\n26153 44535\n14411 45077\n28718 34452\n5091 26006\n8900 42979\n20853 44636\n28895 48187\n13434 46461\n31897 46436\n26913 38257\n26345 43523\n9392 29947\n37937 43774\n7708 20432\n1811 10233\n16162 36634\n28633 35725\n17639 31395\n5708 18089\n40372 41860\n9900 47261\n36524 41677\n17610 41686\n20741 34465\n18702 19522\n37315 41537\n19992 44354\n26303 43321\n2352 37951\n36612 45339\n2447 47052\n26629 32981\n32649 42105\n4596 30073\n10583 18375\n13281 35631\n38076 46378\n2126 25154\n288 24242\n3109 16937\n11348 17364\n31988 41548\n31259 47605\n26314 42866\n15998 40237\n25093 34692\n2488 13858\n25137 32339\n40259 44862\n9767 12584\n16026 22605\n4644 23320\n17008 27584\n38293 41193\n292 37349\n18539 22715\n6922 32353\n2 30224\n4348 13040\n10484 25241\n2459 40276\n5133 42747\n9043 21599\n7290 28264\n16737 39930\n27125 28653\n249 35491\n1820 22367\n34245 44211\n13068 35600\n11281 36472\n1364 8254\n14327 41477\n4802 11514\n204 47147\n15294 30924\n19624 27156\n10817 24364\n24024 37719\n5735 22998\n5439 48196\n13960 34086\n9164 33890\n8121 25470\n11206 32897\n1714 43344\n35380 38941\n26746 26987\n187 6481\n25731 44860\n33531 35686\n8260 29193\n146 40429\n13772 16318\n36727 48571\n7126 24716\n7440 47197\n17143 24599\n5406 8296\n36596 47270\n28770 34704\n27791 47006\n38423 39962\n18498 20957\n35336 43896\n24349 33359\n28442 35455\n22083 44317\n30372 44407\n19101 21938\n15825 18548\n18716 19716\n999 39666\n36919 48558\n8789 22397\n9924 48403\n38647 43110\n43206 46382\n5431 41732\n12061 40126\n2702 39608\n5368 38145\n3275 28095\n39981 44708\n17180 40400\n17601 27631\n21932 40494\n6159 22223\n11044 29591\n16700 36497\n1444 5173\n25880 44555\n5929 39850\n9205 33707\n10658 24567\n44278 47077\n39159 41421\n16909 21198\n10661 23269\n10451 44868\n5714 45700\n6234 43318\n25067 27956\n16707 45428\n19821 43830\n40165 48575\n16253 48597\n885 36744\n3222 44863\n27050 37185\n11154 28170\n14369 29225\n7252 20490\n30105 43116\n34525 38343\n14426 30173\n19477 25494\n23243 35632\n15923 41937\n28752 30258\n28074 33953\n26159 28094\n25110 43849\n1663 23234\n943 24054\n2909 5191\n9079 46922\n15556 32763\n9322 30664\n7143 45226\n19335 41278\n34666 40884\n2615 28319\n44015 46020\n5021 6567\n913 31827\n5886 21726\n44568 47073\n977 12928\n14232 30298\n1975 3698\n16213 43114\n26977 31695\n20400 32090\n42743 46947\n6594 40828\n25061 46298\n6529 40342\n4019 7228\n60 22959\n1423 3376\n18093 44485\n1227 6647\n32810 48088\n27079 46867\n7816 16137\n20921 22948\n18923 31218\n17314 28095\n19878 44891\n591 45413\n17261 41356\n14202 21821\n17599 36243\n40555 41112\n28544 31003\n3595 10234\n27893 29920\n21922 32334\n34918 41861\n7254 21119\n21076 46398\n3178 24067\n5818 18011\n605 28177\n26944 44495\n8264 44459\n21144 34231\n3930 19332\n6332 29632\n20325 45684\n36191 46954\n17932 45212\n32623 38587\n18536 23809\n27088 34292\n17387 36992\n15689 44594\n1099 9537\n10713 24563\n10905 11051\n9917 15396\n10869 41905\n17735 45458\n16728 23870\n10471 37742\n30113 33102\n263 24176\n7955 17487\n6237 40394\n9228 46011\n1797 35645\n28247 35885\n1595 34933\n8078 46003\n39231 46055\n5413 19400\n22070 43348\n11410 34714\n4084 25381\n14059 26878\n40269 40872\n11482 30360\n14539 39396\n1646 15555\n16542 37400\n749 1023\n6078 44615\n35758 44404\n2558 30024\n5715 41953\n17375 39020\n21097 47583\n1629 33327\n26375 27605\n20310 35451\n9033 17589\n19478 34659\n10690 23511\n5429 41660\n22745 39196\n1670 25669\n24947 28550\n512 36928\n11533 20782\n20208 42295\n24291 47606\n17877 34554\n20471 43687\n26831 46496\n22089 36045\n4563 35430\n35690 48245\n12070 39710\n33888 40590\n18073 25044\n13125 34948\n22821 23210\n2825 42127\n3886 37805\n18239 46184\n171 20744\n31734 46479\n11380 24130\n26960 43751\n15805 32330\n40596 44218\n26668 30023\n12821 38321\n23471 39892\n4395 10116\n4389 46650\n12123 46940\n13320 28127\n5142 46827\n3387 26221\n3380 6821\n8118 25309\n26753 40073\n1157 24154\n42947 43149\n36693 37446\n7720 37545\n29442 32079\n17609 40415\n3645 18372\n29347 43802\n5951 29317\n10375 18550\n35187 44280\n18100 20757\n2043 6304\n43505 46181\n6618 9104\n27610 46185\n39817 45329\n30709 45798\n7668 36510\n16395 28691\n10637 18936\n13136 16510\n18965 28367\n20207 29819\n7370 35377\n7337 8104\n1270 8874\n1221 20865\n7024 18566\n17046 22164\n3136 36150\n26261 46212\n4990 45471\n4460 5410\n9623 47846\n3222 8115\n852 40440\n9818 32444\n1766 43442\n19232 23384\n42331 43880\n8798 33167\n27259 31225\n23701 31894\n11926 39242\n30173 44151\n15444 33530\n14654 25161\n45 40627\n14156 16294\n258 34508\n41650 48414\n8026 27219\n30682 38370\n10468 23391\n23177 36014\n1054 22909\n4516 23168\n13307 36375\n15249 46935\n22610 22932\n10811 28030\n13929 31563\n1264 34040\n3581 12017\n11051 40458\n38739 39120\n10220 17877\n18067 33861\n1309 42804\n19354 30961\n22930 37109\n16899 40641\n6613 43928\n24627 42030\n12627 42811\n810 47958\n9237 11142\n20358 35496\n109 43362\n1877 39888\n23000 38912\n26032 39732\n13927 34069\n14609 42763\n43943 47003\n33080 44172\n34849 39080\n16754 39242\n28331 31213\n12594 37883\n24692 47740\n20277 40423\n6279 28555\n1024 35431\n8388 32908\n22622 28216\n41553 41785\n5346 26426\n14355 38667\n6807 38640\n36417 38013\n34846 36891\n2349 43233\n18440 38150\n19853 28570\n327 25442\n14360 17761\n16286 40284\n27012 30067\n22765 38455\n2052 42774\n2521 10045\n2440 23282\n2704 29451\n15586 46655\n171 25752\n17461 45530\n22883 30305\n1709 11403\n26683 28117\n5057 31172\n29345 41386\n35703 42669\n29356 48547\n10510 18264\n2850 40826\n21956 33890\n9274 34534\n30754 43803\n19693 34163\n26160 39955\n5830 9265\n5369 18492\n5484 32002\n31770 40588\n6338 18781\n21152 30897\n17023 46157\n3101 38584\n12680 21634\n29641 41924\n16563 19093\n40038 45986\n2117 6109\n29694 47135\n962 31190\n8772 22858\n21762 32320\n27313 42366\n1417 11167\n36329 44406\n6792 10716\n24156 28415\n12468 17977\n30430 43339\n12947 28197\n7355 15168\n5744 6215\n14216 45053\n13243 21802\n17831 21251\n13852 21675\n32603 46042\n12768 33700\n5623 36978\n26405 29145\n11953 43475\n11027 34107\n11183 20644\n15725 23404\n21228 23188\n1770 42549\n34248 47644\n7621 34603\n11387 35337\n24230 45592\n24539 26880\n6389 39525\n12201 34560\n9920 18415\n15331 29256\n1602 2219\n14251 37138\n36592 47437\n2923 17679\n7306 27736\n215 10869\n35069 45658\n14413 39705\n2175 15066\n4389 44241\n2901 46666\n14258 39452\n3419 32942\n16901 23404\n17298 45702\n22227 24282\n18587 25830\n3690 24000\n25679 46847\n23094 34278\n36550 37989\n8256 24809\n10440 14830\n35616 39613\n25105 44278\n22375 31774\n3917 40159\n12640 47061\n14232 46401\n4228 46912\n31161 40624\n1309 30564\n6764 27601\n9321 15683\n15123 22921\n23750 46910\n6804 19017\n40128 45456\n22702 48330\n1749 29635\n32650 35128\n46058 46398\n28968 46525\n28994 44843\n3212 22915\n14843 43263\n20984 43002\n14582 34058\n4299 31455\n21873 45312\n19510 39888\n25054 33561\n10184 33088\n30956 36299\n22953 37218\n191 15332\n15635 38115\n36424 40453\n19481 20304\n10894 25255\n27101 36656\n6794 18544\n27711 47497\n21101 30539\n24218 33390\n15467 41881\n38513 46333\n35002 45652\n19460 45235\n16584 40679\n18160 26701\n28416 31261\n8312 35534\n5464 19570\n23950 45762\n26362 27951\n1045 13983\n14426 48091\n2445 23635\n41816 46534\n5497 39730\n27404 35452\n8315 21111\n11740 45033\n21229 47998\n16478 33016\n23630 33772\n9771 11047\n3930 46372\n6580 16942\n30771 47247\n28206 34157\n11603 16621\n394 2078\n16145 32189\n7415 42643\n23364 25598\n44548 46129\n25199 46403\n9377 13448\n36682 44725\n17019 34856\n7019 18496\n27319 40379\n3337 46979\n19532 26770\n28389 40523\n38285 46741\n39532 41981\n33436 37083\n4586 27547\n28618 37797\n21836 32368\n21310 39172\n2460 22686\n38993 39610\n39957 41321\n18680 26994\n776 31656\n33350 42222\n4171 30484\n17250 20595\n2496 31118\n14252 16019\n17188 37116\n13565 13583\n7119 37942\n28296 44640\n38048 45321\n19112 43008\n27487 32888\n13542 44857\n10549 31069\n20015 29216\n35260 42495\n20409 46697\n3939 21965\n27326 31300\n22253 41486\n208 11178\n13016 34843\n13889 16942\n24610 40765\n6489 43577\n9193 32552\n3412 3800\n13445 25540\n6776 46592\n16286 42233\n16248 33085\n18727 35799\n6296 14578\n23960 35671\n22028 40271\n22677 48606\n16632 45651\n17147 28759\n14554 29412\n12138 29620\n21108 37479\n2423 37071\n25930 39725\n15407 16891\n2592 43676\n31227 37905\n1010 29023\n11134 46271\n6066 48465\n83 45807\n30875 38494\n7575 16267\n36760 44204\n31161 34777\n24867 45046\n11637 47949\n3974 14262\n11030 28078\n3247 13118\n21789 22253\n17632 41207\n10679 38235\n5628 23050\n12071 39153\n9843 46192\n7640 28448\n2051 36197\n21363 33456\n376 29367\n6388 33774\n21343 22430\n10783 35892\n19313 34397\n4877 42364\n37040 39494\n12301 30507\n19907 25635\n611 42649\n31366 32192\n6276 40750\n32943 38262\n7067 38785\n40026 48491\n25552 28708\n8149 8830\n26941 45009\n15798 20827\n35843 44663\n17834 32114\n1149 20215\n2443 42278\n13432 41116\n5322 38294\n7086 11534\n49 20715\n30375 33632\n17779 21811\n19409 35393\n26633 40984\n5350 26063\n855 3240\n21115 24737\n23816 48328\n26422 44594\n21841 31587\n2236 36360\n12972 21978\n29514 39072\n8112 32691\n24932 41111\n14844 41174\n8062 36507\n3047 28945\n25733 46806\n30625 36585\n1165 25133\n8645 31285\n10986 15318\n4920 30403\n15987 22419\n1285 45222\n25031 36405\n10139 26208\n14966 15681\n20273 32960\n33881 45177\n17872 41084\n12972 27087\n28838 44054\n21762 37835\n25031 47576\n19800 25629\n13322 41347\n28637 36207\n12374 19132\n15431 15563\n594 45810\n37858 47741\n25506 37380\n36436 43928\n44599 47569\n17578 47899\n19315 44841\n2717 11114\n12666 35363\n11977 17320\n7532 46151\n620 16577\n30537 41159\n18114 43174\n10545 41254\n35007 44796\n23261 24868\n10475 36495\n2403 26701\n11093 14256\n17507 19713\n17051 40286\n35550 35613\n26480 47720\n9836 27947\n9958 38284\n9573 18198\n20501 24944\n16129 41507\n17045 37443\n565 21212\n32789 36625\n24674 25579\n15684 36257\n13248 16423\n10609 39299\n6934 27902\n21151 40501\n38817 46024\n7904 19113\n33036 39602\n24148 38971\n4214 17985\n15226 15542\n27817 34651\n14255 47387\n31688 40761\n6212 18810\n8434 33404\n5619 42076\n7098 27952\n1821 35653\n135 27658\n28939 36717\n264 23503\n12088 38317\n24639 34987\n13167 35801\n10281 19892\n4362 9858\n7773 36130\n20969 34707\n9013 38619\n8718 15122\n18874 23059\n28916 32483\n26615 43718\n8538 42871\n2258 13539\n34005 47607\n6600 14277\n42330 47956\n7639 33595\n1292 29350\n1924 25732\n8474 29301\n10393 35947\n1882 24909\n26461 38333\n33503 47673\n8132 29177\n21159 40231\n21941 41498\n13016 19490\n8109 24349\n21367 45550\n13434 42981\n7483 15559\n2454 23675\n25167 39058\n28848 30625\n4818 26378\n211 13883\n31974 48414\n5277 40814\n32208 46402\n967 17219\n7019 34906\n21973 26596\n25419 27763\n13064 15418\n32303 41681\n12862 23273\n31862 47621\n26639 35818\n35587 38960\n10914 37515\n9459 43222\n28009 36701\n11080 18466\n25603 40532\n9643 22716\n27196 34701\n2192 46021\n36909 44923\n15142 44366\n46791 47851\n24291 33687\n24198 36309\n7496 33984\n39374 44159\n9916 40443\n4073 31048\n2463 20231\n15265 39969\n25254 32239\n39929 48277\n16390 42480\n34273 46914\n25193 45987\n7699 26888\n18681 43106\n9339 33076\n29282 34628\n6877 24641\n3866 13067\n37710 47526\n22953 44809\n37032 40514\n41145 44936\n31233 40110\n21978 42593\n1019 37431\n11499 13233\n8136 28553\n36123 40251\n32476 46496\n36331 37528\n18736 37235\n40918 47789\n116 9360\n3254 13259\n6690 41056\n33769 42676\n9534 34751\n18217 27692\n25465 30957\n344 20196\n33724 40046\n13000 23656\n27073 37469\n1785 18356\n18969 39308\n3148 22474\n2955 27852\n11513 13753\n20005 24969\n1014 36501\n9730 40154\n273 19565\n40139 43395\n1612 7846\n13879 47131\n10191 25587\n10786 27327\n9017 44962\n4350 11090\n3410 28152\n13113 13330\n21650 36001\n24707 42792\n9216 9569\n12107 28934\n24681 25440\n20870 30812\n10008 22631\n27734 28120\n2136 48008\n918 32054\n12336 44771\n12563 37517\n18140 21902\n27290 41660\n29230 42989\n3088 30928\n33031 43563\n18352 35700\n6908 22878\n1988 45802\n37484 39145\n20169 48639\n33397 33900\n9013 26846\n22153 30989\n10312 26072\n81 19400\n1319 9983\n18138 39987\n12208 14423\n9253 27222\n268 46156\n15150 20627\n10591 40222\n17054 25541\n9569 47624\n10872 43440\n30391 47133\n16159 24255\n6749 23552\n967 33229\n24834 42195\n26420 48191\n6749 42448\n5563 38167\n2569 46396\n36096 45752\n37697 47529\n92 12631\n8637 28163\n19218 38658\n21921 27807\n42212 45069\n8122 37081\n14756 17672\n19887 46732\n21319 39870\n36038 40703\n1624 43332\n3083 17998\n12337 39979\n175 12290\n7712 8098\n29698 45239\n10961 15795\n7637 33527\n19200 23432\n784 37533\n10252 18771\n5206 36281\n14951 44939\n20498 33881\n12845 36483\n10641 13298\n22199 26603\n933 42736\n19707 31317\n19208 48534\n31851 33968\n7332 35990\n14359 45619\n10195 39695\n17538 35696\n4454 39181\n13469 19204\n25091 38915\n25766 45731\n32537 34491\n8877 48078\n6869 20831\n1821 17938\n21046 37125\n30676 46033\n11934 24591\n3427 37235\n10394 37255\n34953 47209\n42164 45805\n6050 14450\n22486 29753\n31532 39133\n16677 35393\n4054 18279\n11081 33953\n25974 30013\n25598 30569\n4561 20051\n41934 45379\n1259 40681\n38815 42159\n41149 45831\n33263 41374\n31044 37601\n8510 12883\n18351 28376\n14099 24895\n26253 44481\n9156 19543\n26515 29927\n5975 36687\n18409 41038\n34659 34804\n11892 28421\n32787 40734\n1562 43299\n21505 35120\n6400 45474\n4420 48550\n13680 38202\n599 17311\n7647 37974\n4483 43922\n15588 31866\n38753 39090\n32317 45952\n16801 30727\n33621 39372\n19544 19875\n9976 37718\n19049 36267\n26519 46314\n30721 41959\n35361 48510\n1388 46561\n7888 43928\n35304 43415\n25861 41836\n15327 35472\n26200 29982\n27597 28468\n6380 14399\n21185 37807\n1952 11807\n18690 22746\n6329 33800\n9129 45801\n12275 41773\n20211 44774\n5947 33303\n9080 34832\n30386 33621\n7550 18807\n12041 16739\n19019 43566\n27822 46650\n691 37325\n14321 43044\n3912 46512\n34209 36550\n2832 34981\n9569 43999\n4709 15953\n485 12769\n24552 35931\n4009 23131\n6130 42766\n17992 18458\n3597 43826\n20047 40657\n39258 43351\n38086 41353\n10482 42972\n22216 41599\n4741 16340\n16328 44596\n7299 44668\n3843 45894\n8537 18348\n1839 2986\n2907 29270\n12895 24942\n40240 45646\n26229 29228\n29201 44454\n12568 38902\n876 43970\n32875 41585\n1774 9282\n3152 6037\n27924 43030\n43810 48196\n19153 40363\n4331 30226\n7125 46434\n27862 43456\n14748 48328\n473 7773\n11088 22885\n6553 36847\n3049 12574\n12219 25517\n58 44344\n385 28641\n10363 47806\n8134 13298\n17398 41829\n28568 42410\n35411 47925\n16971 46611\n27898 36636\n13536 26642\n7142 48181\n5607 16531\n35888 41548\n11837 43502\n2749 6633\n16089 36500\n13663 20170\n11913 40942\n5689 36004\n11547 23880\n14411 47593\n41561 44123\n29599 47876\n522 44592\n39466 41325\n34881 44691\n16647 28356\n31673 35503\n6425 21902\n24898 44637\n8122 43586\n15811 18487\n11870 21600\n28676 41841\n9716 11847\n391 24962\n9772 26213\n21619 28756\n3783 46567\n25096 31423\n13680 18154\n3521 8773\n3363 16618\n20226 42793\n184 34785\n15136 40618\n35663 39629\n2257 29960\n1461 24665\n8473 17149\n2566 38818\n5953 27245\n4306 44753\n12473 39581\n9016 33002\n9930 48301\n29910 37794\n24834 39792\n5115 48350\n15854 24393\n35357 44758\n941 33039\n39869 41479\n30849 32606\n11852 22050\n2377 15351\n34242 43392\n20481 23606\n24871 43996\n13390 23394\n11337 19605\n32710 41925\n2844 47503\n19555 24964\n8870 11782\n22656 43310\n6014 22788\n20757 27027\n26491 45289\n8475 46279\n4462 15722\n18395 31460\n45054 46556\n6510 30087\n28639 43071\n15270 19790\n37540 44441\n7334 30181\n12588 33430\n8549 43527\n25211 32663\n6399 40404\n43264 46989\n1274 48177\n15527 18355\n13937 45271\n17492 34615\n12683 22210\n1076 12203\n21360 42668\n26506 45957\n6250 35557\n26121 31885\n182 24649\n17709 36522\n21045 21674\n44398 46398\n27781 34096\n34883 44314\n526 27209\n10834 44516\n17172 41629\n7635 45933\n11633 20295\n14029 16516\n22686 28528\n12397 23590\n18613 36992\n44526 46390\n7060 40263\n4872 19831\n18491 33547\n16209 30412\n8665 38699\n4064 43347\n29439 30146\n4590 15490\n38969 42068\n123 27358\n27467 31047\n5179 26412\n41944 44558\n4529 8514\n20966 36461\n25298 41047\n24612 48400\n36819 46338\n30677 44920\n2015 17926\n934 45884\n9218 44377\n36732 46244\n9601 20091\n19354 37384\n22187 39755\n17137 31250\n4799 23784\n36472 37025\n686 40431\n34367 34614\n38006 45362\n9429 16387\n1630 33550\n13075 24114\n2521 39954\n2646 22253\n15692 36464\n39584 42279\n18938 30415\n3218 25374\n39193 42866\n15238 30660\n5609 15999\n15429 21064\n10360 39469\n15264 42736\n14913 39295\n5470 30203\n18292 40997\n12077 19406\n6486 29940\n22712 23663\n31689 34895\n32064 47662\n34498 48100\n22496 30034\n29829 36553\n3602 46805\n11163 28159\n11058 23453\n45029 47411\n14467 33710\n11330 13608\n18752 19995\n3391 7958\n25814 34777\n29758 43583\n12437 22122\n11651 12667\n17880 30332\n23069 42619\n6568 45421\n42991 47047\n331 22633\n22138 35153\n34366 39432\n7018 11245\n20550 34374\n2706 37608\n25260 44671\n4190 36017\n14657 31427\n11345 12120\n27901 47010\n11318 13979\n9375 33743\n12727 38624\n20218 22124\n32767 43909\n21296 45134\n4424 13251\n8410 10120\n3939 8934\n30464 39021\n22473 24106\n20843 45720\n29538 30256\n1002 47766\n9581 42534\n7826 15029\n19892 38947\n17267 22640\n4563 5702\n1208 41556\n16327 40597\n22084 27638\n23965 40483\n16205 24065\n42551 45775\n20352 36686\n9604 22262\n31942 45174\n40994 45915\n11135 27325\n18943 37212\n36704 41612\n12381 30389\n6023 36458\n13280 27215\n1896 38579\n19496 27165\n26508 31843\n38641 41356\n13945 14132\n4234 19816\n20591 25801\n18900 40295\n15173 35887\n1572 21661\n13350 41127\n27722 34797\n4481 21184\n7935 40141\n6237 6903\n13850 25966\n23925 44711\n21099 41136\n2312 32501\n6513 18591\n6067 17079\n726 8300\n1847 29120\n6475 45072\n38058 40608\n3683 46776\n11291 14302\n947 29727\n27060 28365\n8980 29748\n3032 4150\n24952 28510\n10766 26728\n7422 45159\n23116 39964\n4761 30423\n511 39281\n24000 34587\n8982 15972\n14225 43114\n9400 30078\n1265 33175\n835 35776\n8595 36551\n40540 47497\n6594 20042\n22700 29228\n31131 41893\n1739 7362\n14179 34291\n21973 44055\n19822 39283\n14705 45832\n10574 35369\n27051 41473\n25644 36713\n28715 48008\n37893 40501\n32272 44213\n10773 22263\n18852 33791\n9294 24268\n11958 47690\n3426 11897\n3216 37421\n5913 42262\n7479 30959\n33593 38955\n11275 35752\n20873 45979\n7912 8927\n13836 41814\n19289 36951\n15561 25284\n6070 10228\n4245 6562\n2899 30430\n35873 45892\n17817 44677\n28 17053\n2807 39576\n15652 46234\n21401 33374\n34434 41711\n23557 36200\n6168 42378\n14650 39118\n32625 46899\n12140 17909\n24799 27281\n6972 33617\n2420 47735\n5666 10290\n18533 44281\n2871 25955\n2498 32831\n2283 14388\n26689 33313\n7926 28452\n1298 20543\n36924 39102\n345 6700\n4347 11768\n8438 28093\n24439 46110\n67 40895\n23936 33466\n148 35917\n3669 15199\n33558 35611\n18558 37683\n32728 40222\n27543 34120\n3086 27985\n1147 25202\n46752 48024\n8575 42583\n19962 46683\n20465 47260\n23196 44046\n2937 36111\n8814 30380\n5545 13002\n26073 39471\n27012 34500\n30625 35779\n21711 34780\n9585 23002\n19531 44323\n7292 42263\n11657 40915\n1026 7510\n6526 41887\n21210 35797\n27800 33254\n436 36103\n1769 20205\n26668 37854\n8097 45145\n6864 25032\n20035 31585\n44104 47298\n16519 38535\n1118 43531\n30582 40053\n32053 36260\n22951 45079\n36377 39481\n27121 30479\n37636 48578\n11051 23285\n25643 39251\n742 6486\n3164 12170\n12869 14275\n40529 40832\n3156 41123\n16202 44538\n15104 32395\n6822 8281\n5609 26147\n2865 17252\n42625 44330\n20778 26867\n34343 38452\n38866 45089\n6476 40764\n16950 34941\n14839 15636\n32212 36161\n756 24831\n13044 44331\n7016 36861\n42306 46440\n9542 38427\n8825 39541\n28097 40724\n6214 47731\n10769 18366\n12825 35234\n27908 31540\n4614 31078\n30540 45294\n25788 43301\n16808 26011\n2742 40656\n12787 21375\n33602 33645\n3917 4897\n11617 46807\n20986 37160\n18474 28237\n18469 38976\n3212 37641\n6334 19983\n36049 46927\n12391 30077\n5640 21849\n32228 41086\n20139 39392\n788 34721\n13331 17905\n15928 26288\n19868 41349\n36431 38793\n19863 42690\n1024 3114\n22607 28627\n10539 20641\n34800 37612\n9353 47671\n2193 26584\n32107 39827\n9974 21412\n2165 2678\n24668 47160\n8782 20762\n26411 39319\n23992 29008\n2435 20699\n8891 40093\n13637 40381\n17817 21995\n2105 27263\n15814 28509\n37344 44796\n14353 23313\n10041 30503\n31008 36660\n10207 23183\n4170 5181\n17653 32911\n8786 48272\n16844 39626\n17523 46570\n7808 13800\n23243 38560\n8805 15566\n7257 44506\n7037 12167\n7542 45603\n18911 27237\n6449 42310\n24198 28967\n16107 48460\n5437 27371\n42660 45744\n6687 6717\n11461 21125\n9511 29769\n8422 40776\n29211 30710\n38782 47261\n556 9566\n21068 33837\n7643 18822\n7535 42191\n25591 47901\n34014 35988\n21065 43079\n26967 34901\n10018 38173\n18560 21082\n21470 31592\n8346 24627\n25380 40524\n1001 17984\n12250 28589\n29326 39945\n14389 38081\n36013 42167\n6108 22550\n7474 35633\n27239 46531\n9871 28710\n3781 9221\n23331 44097\n37606 44598\n15135 26514\n4811 35891\n31137 37995\n9475 24759\n3256 4835\n29957 48390\n2356 10320\n4548 31889\n4923 10781\n7421 46304\n7212 40435\n11599 19320\n3942 32607\n36303 38205\n7648 12304\n22809 40818\n5956 27544\n1402 26746\n36512 43700\n4323 31857\n46838 47024\n7926 11613\n23428 30846\n18094 29741\n5391 26409\n8527 37843\n7731 41838\n13164 31687\n36806 36908\n30267 33682\n1378 30932\n7406 14966\n9469 13014\n12403 43471\n38642 45518\n380 4313\n11314 36720\n14127 46343\n2592 46218\n11284 41532\n19100 46019\n9979 37632\n1530 1974\n19969 37518\n810 36262\n1546 32681\n9110 9361\n8394 20583\n15689 40058\n2874 48349\n9729 13511\n4071 39258\n2169 20789\n16509 23494\n35391 45501\n17924 29248\n2048 38660\n20510 40216\n35562 46112\n5514 30217\n21169 23056\n4667 17957\n25641 28101\n37208 44598\n23201 26433\n27559 30852\n26333 44738\n12083 39167\n13437 23889\n22571 25859\n13654 35792\n33459 36378\n28908 45164\n13007 29980\n22261 39047\n16910 28397\n14249 32332\n7617 21251\n21635 24175\n24481 28195\n1555 40302\n16845 47170\n10723 38775\n4053 10738\n6802 16873\n17948 29422\n17247 27296\n13417 14504\n11057 31692\n5168 41661\n1908 20930\n7923 40063\n1491 22057\n41598 48598\n15682 23971\n10405 12446\n35737 39854\n1615 20118\n39147 48412\n9793 39320\n23751 29896\n14222 42996\n24013 38930\n30932 38167\n9554 17223\n14451 31751\n15318 29353\n3064 9780\n31181 38610\n6300 20592\n3353 37350\n25237 30481\n10725 43017\n6814 18198\n20388 43873\n21205 45158\n10916 41599\n8077 33968\n20860 45271\n9707 9985\n27482 42690\n7030 38357\n36495 48122\n15709 38545\n4137 19974\n34286 42902\n476 37568\n2038 14026\n38091 38903\n190 39209\n13911 34366\n7018 35391\n6337 13073\n22916 29843\n16582 19409\n13380 44078\n12515 43963\n41733 47003\n7875 31967\n8344 18721\n7605 40954\n15427 40114\n11164 26504\n28166 34862\n8178 26277\n14123 32631\n7394 17933\n22405 36320\n7458 30104\n8137 43104\n29247 34538\n27539 37120\n11072 32585\n14560 35930\n20066 33435\n27126 33051\n14055 28891\n10705 19116\n6402 38789\n20470 28042\n4050 12369\n5742 23964\n9825 37033\n43674 45380\n655 32626\n4665 26697\n16902 18261\n14818 46043\n27857 37470\n13845 41543\n34811 39076\n16054 25204\n26954 33688\n4326 14874\n4616 22901\n4143 28038\n12040 21484\n3030 36180\n22121 31760\n12952 24110\n5408 40251\n13184 13822\n8566 37150\n18602 46267\n28718 32219\n10150 44145\n18382 25111\n4049 13046\n17360 42114\n7768 44250\n16627 35647\n4361 32606\n17522 30430\n1799 48229\n18683 37481\n5630 27633\n16904 47279\n15135 28856\n7189 27167\n28897 48521\n11104 25735\n24 675\n6332 36248\n7203 9971\n39654 41860\n35566 36606\n942 21784\n30653 38999\n7342 40299\n11785 24864\n25081 27317\n31968 44434\n26345 45816\n27 40978\n28999 41300\n13842 23624\n287 27535\n4902 6153\n1862 42551\n22997 25046\n2310 35977\n5962 46254\n36597 38318\n17829 26528\n23013 25421\n22718 44008\n19603 21279\n954 38500\n9880 15991\n5957 27082\n15722 42627\n8089 40642\n21091 45667\n24450 45773\n15363 20914\n946 22095\n20677 20848\n10381 37580\n331 6043\n19016 46484\n3647 30383\n5855 36907\n31156 45795\n26448 38159\n21092 23915\n6029 42222\n7122 42820\n4113 26585\n2490 40509\n35818 47496\n12226 37192\n16560 42788\n2553 18817\n5853 20192\n7822 34472\n22711 41075\n37924 48432\n5885 46527\n37537 45531\n28375 41010\n24829 37555\n10839 20969\n1152 12195\n16222 22289\n958 26502\n3515 13866\n31132 45060\n550 21493\n14522 48287\n30588 36280\n24259 38550\n23394 34006\n32120 32857\n3111 44314\n3156 8284\n7391 46503\n9763 39184\n10088 30765\n4232 17001\n7061 24096\n3931 11124\n11909 47261\n23846 25191\n25937 27247\n11399 27388\n28530 37665\n1512 19768\n26190 48576\n17563 38215\n31491 45089\n19804 44152\n14389 42340\n19134 29886\n1048 40451\n36715 37857\n11982 31008\n25403 45280\n3034 43235\n20173 38827\n30327 47566\n368 21037\n5177 21824\n11675 15326\n9609 38547\n15534 19978\n32938 36227\n34254 41967\n17839 27023\n18230 33865\n6613 42068\n13295 33250\n3760 4115\n925 1433\n10504 30709\n32040 41464\n43433 43796\n10734 45837\n11079 48535\n4965 9796\n35505 42599\n28053 38419\n28304 36608\n11862 39058\n12221 18795\n2414 44194\n6954 20841\n1060 20257\n10775 41151\n6787 17924\n14389 18539\n1559 3780\n24230 28791\n15663 39033\n4740 7721\n20624 25455\n24943 30794\n13118 15555\n7841 43754\n18332 23152\n6992 25278\n27324 46262\n1662 47052\n15658 36564\n31457 41725\n41759 43037\n8254 23202\n3567 38204\n4802 11110\n33846 39203\n3417 42328\n19813 47214\n35396 35553\n12488 27067\n9447 21057\n4836 38210\n16370 19426\n14057 39581\n3161 39217\n6399 46435\n12251 20855\n15467 32836\n11146 41443\n13235 30807\n3883 39042\n16424 44502\n14928 25332\n23855 24428\n3849 10543\n3105 29697\n18482 20583\n17159 41538\n6055 33795\n8935 38158\n37726 38644\n42487 45402\n28029 36434\n13936 40428\n3501 4160\n23871 44987\n4887 29051\n9170 11174\n19868 41371\n34500 39587\n7289 19285\n3973 17895\n13977 45355\n20244 34693\n12012 28277\n20192 35381\n30199 32674\n5827 35275\n8418 16399\n36297 41285\n910 35526\n1834 7046\n6070 15093\n14512 48672\n1640 3838\n9373 29051\n17024 46103\n69 9764\n17533 28364\n4568 35413\n37094 46130\n19522 42054\n40514 43796\n41168 45462\n7412 26602\n4339 29938\n20609 37485\n7057 40700\n882 46217\n3332 37203\n12600 43071\n7639 43745\n15467 46833\n2881 19027\n18611 33696\n24946 34005\n3226 24256\n12918 40713\n34727 45246\n30863 43533\n14607 22817\n18274 37641\n7216 35829\n18961 35349\n23784 45128\n19843 45374\n24669 29082\n20328 38341\n18310 36575\n6605 18930\n5269 7317\n18815 34054\n8882 48011\n23572 42121\n1835 25193\n19168 29379\n18511 20981\n37718 38789\n5357 43183\n10671 48277\n14166 24415\n7594 12856\n9696 42660\n2082 16921\n6511 12559\n24959 45574\n17028 38846\n34369 46534\n10126 17750\n28653 43578\n21038 38017\n5219 35576\n14263 39717\n17987 43345\n11217 39856\n2087 30659\n6944 25161\n1614 8972\n40393 44772\n24560 35481\n16621 39294\n3598 41702\n428 17493\n1819 45441\n8684 9126\n25949 34387\n11206 25359\n129 41350\n18741 23146\n24395 42016\n28457 46287\n1421 8182\n34795 47597\n25717 25871\n11605 43277\n17421 46676\n32020 34910\n32325 44278\n7597 34510\n13678 24224\n71 46045\n26217 29549\n8451 47811\n33281 35269\n15022 43028\n14584 23706\n20180 46155\n43460 46382\n5010 45166\n6028 47906\n9669 48199\n5407 32279\n7024 7598\n18929 28835\n17088 42758\n2269 13320\n6094 46970\n19896 37912\n40075 43689\n12467 39112\n32901 45756\n1949 18299\n25511 33204\n311 17086\n39492 46824\n21952 38124\n5670 43855\n6592 27658\n7610 12294\n31932 39398\n27802 47345\n22810 32359\n26007 44204\n5813 14740\n4144 15488\n20131 34062\n19216 26196\n29380 43706\n1826 23600\n15088 16791\n4329 23630\n42802 48344\n9351 40519\n2580 18561\n28593 30253\n2328 38951\n17896 46073\n869 39036\n2013 30968\n19736 40609\n36287 37038\n12509 22663\n2382 20520\n25601 43180\n10463 12350\n13727 24927\n4052 4483\n1440 12033\n14001 20942\n4714 32188\n4085 45031\n4622 26381\n10495 33046\n17207 34055\n3835 18112\n9481 24202\n45844 46506\n29657 30113\n29368 32964\n10833 13316\n18280 37515\n12256 15022\n11655 41604\n2964 38564\n20941 42798\n24295 43105\n44445 46534\n12856 21563\n30953 45061\n14311 23343\n4625 17228\n15652 44541\n33857 40332\n15266 45599\n3709 26130\n14644 25532\n2076 29547\n40063 40541\n11290 32827\n7119 41412\n16624 38184\n38214 46734\n33772 38047\n13911 28383\n16948 35649\n2088 42996\n26080 32049\n30805 36064\n8607 10808\n3306 14179\n40620 44533\n2572 42806\n12561 34214\n2607 45075\n14462 43677\n15106 48126\n13149 35328\n12380 46606\n26916 27979\n39590 43798\n4541 16552\n4119 43308\n30540 42705\n7416 9770\n29161 41781\n2295 34761\n5392 8401\n30999 31878\n30057 47559\n31277 32953\n31021 34194\n17700 31265\n24823 40152\n5451 19658\n8850 33521\n3198 21212\n2769 23435\n2893 16950\n17200 44616\n17387 44415\n8452 19699\n25557 39255\n7721 15538\n16074 37965\n10375 37397\n10706 13682\n43285 45291\n804 48284\n10476 21128\n32626 44226\n7187 41903\n45230 46439\n23953 31181\n26980 42430\n35877 38915\n15930 26309\n38120 41402\n17130 44116\n9500 18845\n2949 20248\n14320 44660\n17991 24337\n21301 32448\n32671 36094\n29656 37983\n13955 25467\n1216 23182\n29151 36911\n42 18348\n1269 41738\n24824 45490\n13550 24180\n35603 37875\n17168 26818\n12834 26682\n24612 47150\n29018 40305\n20377 37850\n25658 47541\n11904 45866\n5941 9017\n19320 26184\n17055 21729\n4467 42711\n28260 47374\n3756 33141\n30920 32698\n9690 48408\n19036 42074\n13280 33538\n41089 43742\n34716 42466\n3853 10017\n4061 24929\n45800 47493\n26081 35524\n13125 27319\n20983 29976\n12346 42367\n18453 47179\n5972 28212\n17248 40745\n18173 44498\n19553 37369\n26703 30396\n5499 9125\n7125 46197\n15068 32704\n19806 40112\n10052 35378\n1094 3055\n10756 26882\n19794 48211\n28367 43391\n34083 37913\n19045 35240\n7558 42397\n23568 37974\n3789 46310\n14484 38443\n13218 22063\n13441 37236\n13545 32509\n35878 46353\n3679 38839\n33183 36561\n33170 36964\n18593 25019\n24326 41057\n11114 46091\n5979 10978\n18274 38599\n29493 40786\n10159 31305\n32116 39818\n27790 46421\n5240 9160\n37587 48209\n10810 24216\n19437 29995\n27713 37208\n33068 44238\n8868 35961\n39665 43178\n4930 7046\n6894 10015\n19413 47398\n9681 44326\n7842 32434\n23419 30659\n5233 45857\n22860 24746\n5086 22521\n8590 46218\n42876 45724\n3572 32342\n32045 40862\n30157 44785\n23408 30665\n12625 16415\n31876 45020\n6800 18313\n2166 22815\n2046 24536\n1216 44861\n15393 16132\n22456 29824\n42356 42992\n20667 31640\n23350 26826\n36465 48436\n16694 31879\n8030 46965\n7228 41748\n1141 35597\n28768 45108\n6380 37387\n26361 40307\n5557 6769\n7512 21197\n1821 24078\n8773 43977\n29726 40737\n19083 37077\n3738 25864\n24869 43155\n14392 15881\n6019 20713\n25045 30381\n34858 44992\n27255 34876\n2600 21910\n257 9720\n3414 23203\n23783 37430\n1252 4853\n10573 15226\n1619 10734\n14361 23742\n14579 30409\n5550 42532\n21031 27417\n13422 16935\n23996 36597\n33225 39410\n18246 21377\n9651 44504\n5276 7263\n37485 41314\n37056 39239\n22167 39804\n17908 18354\n12355 40397\n1937 2390\n11796 47538\n10969 28927\n3875 42666\n43683 47589\n29583 47907\n17742 20148\n24960 48485\n5373 34921\n32451 47974\n22804 43522\n26542 41581\n2925 25489\n14962 44706\n12792 13678\n8577 19648\n37862 47433\n2819 39161\n27244 28811\n40230 42849\n22857 25666\n10656 37627\n19248 39582\n3998 22065\n44079 44535\n9417 30835\n836 29403\n15659 37982\n6085 45583\n2962 32663\n776 1998\n41756 44746\n13213 25295\n8985 21028\n22860 46813\n25615 34265\n17171 18167\n11647 19761\n33910 43670\n8023 44185\n2723 15923\n6085 46013\n24950 30266\n24130 37490\n36649 47281\n1868 32165\n3989 47214\n34096 36630\n16574 35372\n10925 32546\n4296 19430\n7589 25878\n12467 14945\n841 47890\n3578 39881\n9567 16788\n17537 32914\n40635 44133\n41134 46284\n33783 45776\n2198 26094\n1299 37408\n1154 2663\n15602 21730\n24820 32027\n3440 38567\n20163 32228\n37575 43639\n19417 28373\n4873 8361\n26163 26710\n12533 22838\n40053 45986\n1407 3529\n21753 38617\n23360 29419\n21972 46705\n8020 17476\n1386 30028\n30267 38726\n572 6671\n4911 23743\n24284 30670\n8670 22214\n21111 37918\n23264 25940\n42619 43230\n4036 4544\n5205 11211\n2737 43274\n28224 32930\n42754 47051\n10713 36460\n25408 39593\n22001 41572\n23657 28433\n17513 32265\n17355 46522\n176 9749\n24272 33336\n19081 36596\n3233 35001\n8865 9017\n581 41118\n27788 32071\n27637 47162\n22735 47450\n12590 25974\n17584 31318\n15620 45611\n35422 38034\n5771 25992\n9849 30703\n12669 36994\n11155 34397\n22901 34442\n1798 36354\n32300 39239\n39543 41312\n1922 48462\n24962 44153\n1699 7839\n15335 27622\n38502 39965\n31072 47170\n43115 44499\n30799 40052\n1916 16883\n5129 29251\n16974 48394\n6649 30825\n5256 26924\n26461 26690\n32137 39097\n25959 33894\n20441 31498\n45528 46505\n15522 43790\n6468 21833\n14009 32756\n7944 18643\n5901 22278\n563 24048\n3836 20475\n10438 21136\n4094 41618\n8397 15661\n12065 22584\n30800 43765\n25034 29670\n36285 38065\n13056 35821\n13762 27225\n3437 10695\n9370 24666\n40510 47322\n516 34979\n31291 42758\n21531 40025\n363 11526\n3051 45276\n23904 40105\n8867 41996\n9928 25563\n27400 43857\n5184 18134\n8764 39403\n2673 24879\n11802 37699\n9717 17977\n27656 33822\n33446 36942\n224 25851\n7315 38182\n16728 39216\n34614 43816\n25494 35074\n30015 33586\n25358 41328\n6574 10884\n2884 14665\n2212 37670\n2960 13126\n26155 35542\n30100 39867\n11806 16520\n31065 44532\n7285 45187\n17739 20839\n37555 47852\n2771 33623\n4290 19683\n13979 28293\n11319 23367\n21801 45358\n17653 31620\n22219 33198\n21533 32559\n11771 29868\n6080 6107\n16699 24535\n23134 27465\n4498 5326\n31547 42235\n9444 35344\n13223 30100\n35756 41036\n8873 22216\n5446 6107\n12695 31796\n3861 26585\n1614 37642\n29414 38746\n5358 38502\n14062 31694\n27597 47140\n5806 37246\n27485 40968\n14088 30139\n13788 45131\n3274 20314\n34982 45106\n9958 31464\n8288 41261\n5766 14818\n19384 23409\n29598 37126\n42525 46190\n1355 10183\n1810 8126\n10991 37323\n13890 37127\n2485 32985\n29162 43129\n9747 44773\n17878 37166\n20857 43073\n3905 27679\n38986 44633\n24600 31313\n33427 36193\n1753 22000\n27238 31075\n2624 45725\n15794 23486\n11295 32096\n20405 44412\n8925 26474\n15587 37562\n5560 30305\n2166 18842\n19286 31251\n23299 39757\n31719 32244\n12988 22134\n41328 47875\n845 46802\n5511 33928\n567 39918\n15584 25066\n9916 27838\n23054 34337\n29039 45173\n6068 30432\n20362 30808\n6062 9533\n21086 38456\n10681 29677\n10029 30273\n4375 10245\n21128 44596\n27330 44681\n32692 38399\n35346 46531\n3959 32070\n29166 38717\n20985 47337\n82 38650\n14789 37646\n1389 35369\n20475 28592\n2799 26540\n29516 31106\n18715 23098\n19222 44854\n12985 38228\n20775 34488\n31352 37157\n727 33681\n29379 44484\n40331 46164\n2367 27672\n2842 21383\n6415 15746\n10478 16476\n8982 43921\n3385 38542\n8832 21217\n20543 33215\n27914 41459\n11718 23348\n13063 30239\n7648 41433\n24664 32101\n21025 44364\n27846 34917\n8510 18110\n4841 33603\n37906 40323\n35618 38594\n5365 41080\n12926 28701\n44509 48590\n12582 41210\n33702 48414\n34958 44663\n14585 27022\n37826 45580\n13453 26925\n16133 28377\n25245 46396\n2882 28118\n22749 32997\n25463 34959\n20277 26531\n28764 39132\n4213 48070\n11742 21963\n26401 41343\n8221 18357\n7087 7264\n6690 15799\n1769 19144\n6437 47465\n14666 46863\n825 30033\n5722 35921\n2842 30541\n21399 39739\n40322 44584\n5295 39064\n8688 40417\n30793 46420\n3838 17535\n42640 46940\n4299 23358\n3642 43690\n10078 16560\n27172 45308\n21964 28796\n4416 42343\n13941 24559\n7863 24613\n18865 32011\n20291 22720\n13382 19730\n19126 24535\n7319 25629\n24204 46540\n14621 39159\n14439 16588\n813 32467\n4359 27981\n30983 46641\n8139 11833\n19396 19782\n18629 34544\n18514 22938\n9334 14951\n6886 12055\n5335 23879\n40250 42502\n3066 33676\n22973 29819\n13736 19988\n19416 44920\n2615 16993\n6804 45571\n30841 45280\n19018 23838\n21766 38179\n3208 11658\n15185 29095\n33117 45055\n40602 45937\n3737 33624\n2458 46035\n1873 31440\n21501 45829\n30384 32587\n5921 20205\n11889 28659\n31429 37583\n27792 42766\n10032 40654\n3138 24796\n11212 24106\n20188 32869\n17795 36522\n2349 44050\n8884 26937\n28372 42137\n3852 23869\n15646 32688\n25440 33581\n8181 36200\n6299 11279\n15227 26937\n39817 45368\n26232 39776\n14706 46478\n18577 44305\n25300 35000\n9722 30122\n1485 39031\n17155 19465\n363 14869\n32639 33204\n10608 18525\n19393 21462\n20402 28503\n21665 44920\n2480 20090\n39114 41102\n38262 42044\n14003 18644\n40297 42378\n32043 44395\n18427 44942\n31575 46207\n22902 35329\n15717 19661\n17882 33589\n35153 46121\n100 47067\n6107 8147\n14390 43180\n26924 35497\n676 45155\n3177 39487\n2723 8368\n21887 40392\n7667 33395\n5623 9401\n3328 25348\n17007 36890\n6267 9971\n17316 38601\n4406 23519\n9438 39436\n10480 27791\n29369 33151\n5658 19021\n8494 48678\n11019 45356\n4256 34871\n26209 29980\n12469 25535\n2490 13293\n19792 37108\n34365 42728\n3938 20220\n21803 30137\n3191 17443\n1497 17972\n12737 19660\n32499 34736\n6939 40117\n22511 36908\n15670 23574\n8875 41799\n9700 33629\n7606 31990\n6325 9286\n27457 39400\n25 21040\n31248 39350\n10803 19237\n13054 40742\n8718 14054\n3417 37005\n27675 30581\n13540 29275\n12172 16955\n3501 20975\n33545 40864\n15593 34022\n8448 26812\n24607 27772\n15304 34670\n7663 47896\n18601 48196\n4064 25079\n24728 26165\n3308 44051\n32134 35953\n17365 32133\n4136 23216\n23566 47161\n18638 21431\n40284 47341\n41193 43620\n19092 48673\n17982 47227\n32546 43412\n4724 19411\n22172 27947\n4262 29459\n43625 46176\n19355 40307\n17238 25322\n10186 47932\n28028 38652\n4597 46726\n2230 23350\n19911 37851\n6081 46820\n16259 24904\n5567 14882\n5270 17513\n3833 13736\n4652 9484\n29370 38719\n15795 28176\n7205 41906\n1580 40089\n26489 42447\n156 47087\n18998 32289\n3881 36988\n40259 42838\n41932 45016\n23583 33739\n4528 48031\n4881 17372\n5241 47350\n9715 38269\n27954 38090\n11463 43668\n23631 46905\n4888 27770\n19897 38751\n11471 45498\n20134 31841\n6806 33749\n20317 38969\n40714 43782\n9372 36192\n3279 28960\n1802 9729\n1909 34717\n39994 44559\n8248 26226\n16715 26957\n28311 34521\n21150 34382\n17507 43109\n16980 36288\n4299 48354\n4673 38598\n26685 43885\n1880 39374\n33289 46189\n13041 38037\n16916 29402\n10782 39427\n42602 47084\n27881 48212\n14689 29678\n6687 46116\n9554 27915\n852 48256\n24531 39052\n19521 24375\n7413 41128\n2908 36311\n21032 39873\n19982 23106\n11326 45225\n25007 47803\n2942 34468\n9985 29858\n18017 29724\n34345 45626\n703 41457\n974 4987\n28076 43833\n17634 47599\n32203 35866\n4822 47963\n33206 33635\n36453 47048\n2569 44944\n5214 10908\n7736 43805\n10386 42789\n31858 41391\n26958 44289\n6706 31291\n17778 46771\n15492 31042\n6059 6615\n10053 39818\n3418 11123\n3858 42691\n9142 17839\n36043 45542\n19949 44509\n32802 45395\n39716 45830\n4274 46982\n36272 46607\n3910 42807\n1195 19329\n2290 13624\n833 17138\n27406 30635\n18309 40506\n19797 28756\n4319 45891\n9783 30082\n7667 24658\n23350 32201\n40589 45118\n2575 25022\n22943 38162\n9936 45874\n599 8929\n13048 28448\n10494 35269\n309 20115\n5900 25051\n26854 44996\n15954 26795\n14185 39698\n27270 31121\n11407 34197\n5192 37709\n4196 31998\n12722 19750\n28608 29429\n25436 44061\n3031 4292\n17561 25325\n15238 44260\n5055 43356\n778 5530\n3362 39245\n13650 35400\n13153 26777\n4617 15894\n12943 14300\n6727 38050\n33145 40598\n1893 43590\n18605 44916\n1223 28680\n40021 43121\n17019 26707\n35045 46395\n14876 48411\n35767 42197\n16185 27339\n2082 32628\n33074 40295\n9724 12394\n24527 32008\n22996 32239\n11222 21334\n32130 42341\n24237 28445\n17990 21669\n1096 7272\n28141 31984\n13699 32589\n6639 9144\n25311 47150\n35469 39149\n10017 17305\n7479 13057\n41994 45364\n17795 30209\n14701 35275\n14249 16725\n16108 30626\n18325 22278\n20160 34015\n19674 30705\n4864 19130\n37578 41220\n28127 47414\n4944 6859\n29568 43105\n3696 16422\n24043 37035\n13134 16778\n12660 27723\n12181 23849\n789 35947\n19405 38206\n16785 39848\n21102 28262\n9913 35188\n5079 29589\n18097 41119\n12134 14233\n39477 39625\n21005 39834\n4846 22455\n28915 35033\n11164 28952\n13656 27176\n11553 24482\n20948 33233\n6751 41669\n34256 46435\n19970 44670\n2765 15252\n7274 22434\n5324 9582\n34174 40717\n12050 24673\n14574 19495\n8768 22436\n11570 31896\n1083 8800\n14361 15390\n20612 38980\n22345 25471\n15422 22969\n9436 17260\n10009 46342\n36924 39591\n403 1333\n18548 21738\n11855 46237\n17257 23083\n38635 41949\n30258 44737\n13748 48665\n22477 39425\n32798 45976\n10229 33116\n34855 38971\n15413 22664\n10092 11129\n1007 4543\n22378 27429\n6803 24967\n3580 32269\n29242 32881\n5234 12988\n747 13100\n26026 30261\n6619 26756\n7740 11986\n7257 38987\n14131 33018\n45138 46771\n28480 35864\n30819 43958\n12406 26598\n11633 18626\n17008 24800\n6231 36951\n18301 27142\n15854 33245\n43162 43765\n14484 38419\n9358 19608\n4094 34452\n5515 48545\n9545 29407\n18050 46159\n476 46943\n418 21405\n1478 38918\n10854 32802\n1422 35867\n6524 11352\n25042 30566\n10461 34392\n17684 22352\n3156 44226\n10648 17599\n3376 44377\n34832 39316\n15288 27308\n4264 47596\n9916 24426\n15759 46366\n4723 21277\n401 30284\n12530 24821\n16833 18160\n1438 43301\n5803 29502\n27650 39067\n19991 22640\n21027 27286\n18502 35293\n8087 20842\n33519 35814\n3267 23344\n15924 18809\n19417 25605\n15065 18051\n4335 29432\n4165 14655\n6031 19596\n14534 41068\n20947 31318\n29001 32125\n13936 16670\n3365 6949\n13843 39406\n11458 21854\n16653 43161\n9669 36236\n5267 17455\n16891 46822\n18057 22944\n2960 48050\n27495 48420\n22568 47352\n2800 14505\n34028 48659\n19822 26599\n4004 8008\n3016 38804\n12832 47754\n466 17884\n4504 21412\n32426 45490\n4816 10085\n28027 34604\n6456 23084\n12413 27483\n10054 48604\n26785 45823\n1099 11446\n4592 5460\n5063 40504\n14956 32515\n27620 30720\n29944 47319\n10127 40863\n15940 29003\n45473 46818\n5598 16420\n31571 38326\n34883 42693\n4255 37695\n5948 28249\n83 45703\n25646 38794\n6212 44060\n44727 46319\n14570 30737\n19172 22346\n3265 25535\n5320 13624\n28991 31437\n2123 26544\n38200 39791\n19547 44490\n20507 20589\n17479 21607\n845 48194\n29042 31732\n23807 25975\n7182 48582\n11525 41519\n13280 39502\n39263 43063\n29065 37375\n9126 33621\n13253 46548\n7299 47463\n3857 30305\n26052 38946\n12705 31743\n8646 40997\n42839 44660\n919 22552\n14096 26249\n40972 42354\n18392 19889\n40960 46065\n13790 14911\n34429 47379\n33444 36232\n16586 41068\n11905 46781\n12790 25942\n1150 7627\n29344 30552\n16016 33228\n36328 40508\n15717 44142\n16571 46365\n6744 16973\n13557 26227\n18238 20537\n29690 46593\n17994 40134\n5430 29793\n7009 31263\n17541 39932\n15253 25551\n1728 28926\n11307 13173\n16802 31280\n13439 27300\n735 6767\n14936 15565\n32910 38363\n6174 42676\n1242 29421\n27787 47041\n7024 11253\n17777 27731\n30721 33302\n27514 28200\n9763 26726\n24941 48150\n18139 26973\n9851 42320\n12033 35706\n23188 46454\n17372 29523\n33801 36695\n23438 34312\n37772 45317\n30543 44140\n30843 40694\n21749 42043\n6484 13625\n18842 43880\n10950 14210\n6503 38909\n797 12534\n16248 27785\n8255 45567\n64 22227\n661 5867\n14249 39476\n2377 40748\n42092 47661\n30387 35667\n8474 39328\n4176 14600\n29169 35104\n34315 36259\n24190 35041\n8393 42728\n23271 45197\n3193 31330\n20722 20929\n4303 17450\n25968 47072\n28795 45598\n12461 45987\n30015 35674\n13563 32041\n34819 36048\n27086 43146\n34379 47412\n9934 35135\n8702 45028\n31433 35114\n28593 28629\n2381 10368\n26124 39876\n903 43435\n18548 41042\n3799 9945\n12885 34935\n15299 30210\n19064 20178\n21988 36794\n11567 14280\n4038 12901\n12066 16265\n15159 41340\n22854 30502\n11478 23582\n36846 42781\n6845 29232\n364 7315\n13777 44955\n27915 46490\n21443 35443\n3298 44609\n4670 29610\n17255 38126\n897 3289\n16570 26200\n6131 21548\n11471 44343\n5308 15074\n3647 17476\n45789 47884\n19449 29428\n15243 47299\n226 13543\n6583 7814\n27124 47746\n15566 35033\n19991 40060\n15465 44976\n819 3029\n28361 47757\n34468 39510\n30892 36976\n22291 31728\n16352 34142\n814 22830\n28461 31045\n8305 47912\n21103 43073\n8907 36765\n20808 45945\n23868 47850\n6314 37009\n5332 31139\n13248 25254\n30982 48652\n17446 26102\n22326 43364\n37353 41440\n22086 22651\n6106 20655\n6990 37183\n26842 44751\n3525 27522\n16584 29803\n33255 34013\n41565 47939\n15124 23945\n3919 11943\n7012 46763\n7107 43808\n10144 25934\n30517 38875\n18779 24149\n8205 43141\n14345 23784\n11527 13467\n2424 41560\n3607 5684\n5695 34220\n36453 39758\n6971 17886\n3097 22367\n6981 14757\n3252 39787\n13313 48376\n4668 24798\n9028 28521\n5293 9368\n19107 40093\n7252 32337\n9421 21368\n36979 38308\n13119 32504\n29872 38240\n7858 18410\n6161 21523\n13232 46040\n12407 19811\n23208 36131\n1888 37138\n27356 44135\n28325 47314\n33218 38019\n15816 42236\n44493 46270\n10019 12823\n8184 37776\n2030 40829\n3213 11265\n4942 23423\n20789 22930\n38117 38890\n8961 36420\n7195 38674\n17871 21217\n6832 18400\n10801 21417\n22473 46878\n37506 39053\n13521 28527\n28265 44887\n19166 26366\n32508 35616\n9560 16206\n23016 27283\n22716 32919\n3356 10724\n3545 8892\n14295 14481\n25632 29987\n26675 39273\n10375 40186\n32175 39690\n19477 30171\n10401 31896\n11279 20448\n9478 37773\n8863 26826\n7565 33035\n18390 19680\n14290 25843\n4294 12951\n17371 40595\n23682 39341\n26647 27136\n6900 43834\n14210 46580\n31044 43480\n5867 23842\n31183 37738\n21597 35478\n19717 45514\n37838 41841\n26551 26756\n5419 17253\n33268 39525\n14272 19988\n44788 46936\n12505 28937\n6447 44555\n6762 45720\n28535 36025\n1739 44443\n27873 35090\n3311 45352\n8231 34858\n30094 33419\n15728 17065\n11114 19829\n15200 21305\n20 32071\n13249 38088\n29500 45789\n6928 27688\n3792 26884\n11928 42462\n5987 38445\n15312 32502\n10330 34871\n4290 15317\n33774 35509\n26822 41936\n17536 20881\n650 13785\n30574 47382\n22343 22947\n27391 46630\n1533 13137\n23515 38198\n11814 37655\n19591 26781\n20722 32559\n10313 42754\n1974 40774\n13786 16676\n13195 36777\n14489 30593\n11030 27799\n20513 33339\n3692 27760\n8873 48452\n21168 47799\n27696 40534\n32172 35472\n21795 31762\n9036 43947\n10800 25663\n21315 31659\n23773 31450\n29153 43712\n44587 45498\n20811 27107\n9963 46810\n17077 20467\n40477 46712\n22434 23681\n45392 45851\n2500 8980\n8892 22771\n27055 41565\n30639 36102\n16537 32713\n6726 29583\n13808 14250\n9804 18997\n17349 38393\n32796 37934\n24610 27033\n21537 40894\n1316 38472\n11670 23785\n17377 41805\n4925 33928\n7410 30633\n9549 10178\n19700 30172\n6499 28590\n172 29780\n22652 40354\n815 30402\n16472 36530\n1056 22206\n23165 28148\n1183 43918\n2925 19158\n41294 43291\n3012 9287\n31552 42213\n15494 23091\n29887 44539\n6838 22313\n5895 46879\n30965 46654\n7469 48158\n1032 19931\n25713 47555\n9748 18949\n33676 42537\n21361 24958\n37150 41591\n29567 30175\n43096 44696\n12749 25305\n43936 44060\n21856 27714\n4674 19949\n24206 44382\n41371 47057\n33525 35070\n8271 20363\n12377 31171\n10295 11630\n27927 28028\n23128 34152\n17145 37009\n37218 45096\n6042 31856\n19425 45121\n18615 35531\n16296 17487\n7056 37636\n15054 18258\n10908 18589\n22169 44031\n3891 31115\n29971 45456\n9906 14661\n3895 21695\n26883 40527\n9859 43016\n7726 38274\n17927 46185\n12782 32226\n22105 34546\n19217 26746\n1515 41605\n3559 15577\n366 26932\n19536 35653\n2220 18859\n15579 23834\n26737 37026\n12315 48227\n22645 24238\n16343 26325\n21383 34248\n21083 41220\n17203 48030\n4054 19972\n20784 46549\n7212 25977\n37608 48091\n38848 41630\n982 38857\n22526 48377\n2083 45009\n5164 20461\n12681 38689\n8418 37153\n5234 24264\n7598 26456\n2048 31070\n29508 33644\n3142 11708\n4881 42619\n17077 36444\n9039 42994\n20278 40682\n8903 36228\n21231 32704\n28345 30250\n21353 28912\n11865 23031\n13697 43142\n7114 11987\n16881 34444\n34622 37023\n22608 28636\n22988 30323\n1509 16681\n13603 22798\n14782 35005\n14608 26321\n4061 47840\n13262 14469\n6146 22134\n23175 44281\n35706 38939\n5395 24351\n6791 11256\n29472 31473\n7954 30577\n17372 41342\n4883 21909\n15500 21626\n6104 44344\n9699 48109\n40707 40837\n36911 45613\n18450 29927\n22263 25089\n1817 33564\n14791 16210\n13421 44090\n28989 45670\n31409 39342\n26381 34208\n29632 47019\n4668 41257\n21726 35570\n10414 47685\n3224 7533\n6569 13973\n9039 14053\n4235 13453\n20609 24361\n36798 37030\n15934 20501\n19626 41571\n16814 25142\n2679 24293\n26761 44339\n33038 37216\n3572 37163\n31569 41213\n3573 29475\n3408 7495\n15054 20914\n14855 37652\n42897 47569\n20208 44927\n1093 30446\n21107 31487\n14163 31970\n4679 25624\n940 43145\n31445 33546\n35930 37267\n24455 29224\n31103 47257\n7052 18356\n15391 29419\n25609 46245\n16232 46325\n14461 28832\n3784 48204\n2267 22194\n29198 44064\n21848 26328\n14356 22346\n3010 48481\n9581 10325\n5214 7788\n5472 17494\n11101 34213\n15159 39913\n21288 24030\n21999 36122\n1447 4350\n32823 44857\n28308 32440\n13545 16219\n24999 25378\n22357 45353\n17234 45480\n16904 47296\n13630 42705\n23136 45942\n11465 37107\n26563 28912\n38886 39345\n11395 27279\n15153 22888\n8552 10725\n4266 24324\n8328 43593\n20744 41198\n46400 46736\n18592 40608\n30040 31492\n8903 23163\n4856 29241\n14738 43386\n34987 43518\n28574 29090\n25409 42148\n3432 17705\n26142 32882\n16864 19461\n20525 32595\n19292 25934\n12327 41633\n27148 47810\n34522 38787\n29288 44207\n17381 43050\n12760 24274\n1164 36754\n8831 47307\n6495 24653\n413 4325\n20935 40525\n3571 32319\n25473 32804\n18880 22116\n9758 45073\n13632 42216\n21559 27291\n10697 22418\n3987 30315\n242 42538\n30518 32516\n14153 36022\n3632 35330\n8379 47448\n4344 32514\n4272 36706\n21183 46444\n10436 39955\n23463 37646\n35972 48347\n1098 44684\n6948 19375\n593 27324\n4804 15393\n15956 40681\n23993 44693\n34093 38149\n18994 20176\n18203 41388\n39567 43825\n14841 38644\n8815 38055\n13078 37985\n4408 29418\n26415 43895\n17067 31199\n33979 47980\n8166 45673\n29579 34289\n9012 44985\n16652 22260\n966 5407\n78 30259\n45440 46559\n10630 32706\n14933 41170\n5298 26937\n6576 16189\n28753 37352\n18756 48404\n24248 44617\n9768 17305\n14592 46812\n6516 30109\n23369 37376\n7413 13773\n6462 16862\n4323 32815\n3133 34444\n13626 31038\n10991 42586\n15371 43197\n27959 35580\n4501 7039\n2250 36673\n3374 29164\n6757 22953\n35585 44149\n39599 42838\n25027 39091\n147 3194\n17634 31488\n30295 36051\n19335 23844\n31727 41013\n32097 32889\n35197 48508\n17740 40887\n27219 48263\n12586 47501\n21794 46739\n9628 32270\n24666 25916\n13434 28708\n3688 42129\n20212 34706\n37524 47419\n11490 46322\n20699 39846\n16123 47974\n16950 20370\n14364 27494\n15396 23347\n14339 39650\n24710 44556\n13546 28870\n4371 34963\n29239 41170\n18961 29585\n42784 48266\n18584 45311\n6150 22808\n19916 31563\n1272 39056\n8342 28039\n27168 46825\n9578 14666\n12124 30456\n42745 46306\n6774 42539\n7333 7736\n17696 37573\n19817 39046\n1811 15751\n1082 39626\n558 29418\n2051 43965\n18437 47235\n38725 40901\n7561 29857\n18972 22206\n18615 36988\n13401 22342\n44909 48590\n14528 25453\n16620 20363\n10309 12143\n40271 45662\n11514 12705\n20090 33351\n9426 39236\n9712 25420\n13041 17650\n8267 21082\n9320 45536\n9849 16815\n13388 33751\n6692 35821\n2089 20482\n15465 39447\n31107 45521\n10380 11040\n24290 46723\n14012 32848\n18884 44478\n10081 10268\n36011 40235\n6538 11095\n35873 42111\n10639 40496\n23646 37459\n1098 45654\n30205 39225\n3930 10888\n7908 24979\n19390 22367\n11910 16931\n1280 1394\n14378 41732\n19166 36429\n11984 40182\n2769 27821\n13775 17673\n16862 20805\n357 30618\n12032 47048\n7906 45891\n6943 45697\n24767 43564\n24259 37886\n19810 42419\n13500 16565\n11062 24528\n2025 14064\n6178 32649\n9643 26188\n24396 43739\n35791 41033\n6641 46207\n14926 41635\n6540 38946\n37589 45216\n11252 38129\n9613 37515\n8226 18394\n8297 20362\n15007 41661\n14881 39269\n9760 11750\n8154 32104\n20684 29602\n10501 47191\n30782 35184\n6299 32758\n11313 46281\n2949 43904\n6158 22335\n16840 36180\n37640 41283\n329 38228\n9402 47919\n11012 44349\n24791 31395\n487 11186\n7611 44306\n28611 47161\n13 36013\n25898 27333\n2164 10729\n24739 39344\n27799 44321\n42133 46508\n10088 17174\n6572 27036\n218 22504\n19275 39049\n9196 24200\n31808 38698\n37061 41405\n1330 24398\n10422 22527\n19927 45478\n40106 48502\n1097 20453\n10775 47066\n8487 36875\n17467 23212\n26901 31787\n5856 10284\n20356 38787\n1775 13513\n2310 35206\n11928 44596\n16212 31228\n26776 31355\n4140 29355\n27405 46915\n9870 32643\n13688 21449\n15419 36271\n1739 37539\n14586 16375\n12961 39263\n38611 38857\n28905 29202\n14859 41670\n17403 41720\n21169 31651\n4872 46077\n8054 33049\n21371 36383\n30281 39702\n37361 39216\n33660 41459\n20626 22317\n35491 38033\n35976 40614\n2544 23414\n25806 25879\n1530 2128\n23615 32671\n10470 15566\n31397 35296\n2783 48046\n19176 19476\n18053 24798\n16047 41001\n23152 47692\n20289 37655\n6712 6819\n26935 37292\n27814 36470\n16058 24890\n15677 22670\n12376 42981\n37171 45352\n3293 8775\n9299 14295\n3277 3689\n19836 27575\n8736 36615\n16462 34203\n7703 34706\n12687 16533\n25040 28765\n3836 12003\n28669 34006\n11309 45321\n260 43281\n36947 42883\n5719 28345\n20183 44399\n4186 41990\n5534 21679\n29905 34722\n25884 39827\n11865 13414\n2439 18800\n12859 35777\n26472 35275\n595 1061\n14968 34687\n1099 1567\n27397 29882\n40680 47465\n3486 43097\n14747 43448\n13869 24594\n9866 22015\n1819 4016\n41751 42880\n25483 32815\n2353 27480\n3214 24863\n7810 26031\n14742 23368\n29844 38322\n5203 8410\n4054 23243\n31051 33339\n3903 11142\n17207 43164\n16655 26507\n42317 45260\n6377 13598\n2680 32709\n27868 32560\n35693 42225\n11600 31569\n24636 48326\n21184 37506\n23546 24882\n16252 29088\n9026 44875\n3750 7543\n23580 30315\n33836 37318\n8942 27727\n9686 16555\n12869 21568\n37679 47710\n47591 48065\n31459 47431\n20197 45696\n22408 46502\n6019 6432\n24708 41973\n2608 39426\n6888 22979\n14234 38258\n7464 8571\n5944 23204\n5792 29078\n4402 18874\n14679 39916\n385 35108\n19916 32758\n12035 14344\n24737 45053\n8651 23137\n11526 29832\n41404 43621\n27000 47459\n39177 41921\n31182 33239\n2673 19232\n2818 11044\n14656 34137\n18000 36303\n6417 33849\n15808 40146\n438 8768\n13428 32607\n29245 45085\n1048 47230\n17838 21946\n36696 42320\n21150 21261\n622 19614\n38226 40423\n30117 38388\n18305 22300\n13596 15159\n15611 47407\n24476 39186\n34187 48413\n3013 38295\n24907 42729\n7164 10911\n22420 32827\n24807 40490\n22523 39139\n2853 21603\n7996 26605\n5655 39969\n388 16359\n22729 25035\n4335 30172\n28089 28691\n6052 40146\n14101 20185\n12492 27696\n17310 24249\n28001 41571\n43 25566\n3981 4494\n12534 25871\n3461 14827\n19505 48403\n10888 47192\n4385 29892\n17209 22924\n1665 45706\n3642 29622\n26119 33822\n10295 17839\n11330 32967\n969 33188\n4247 9587\n7719 22613\n27945 31006\n1870 40891\n35907 41415\n401 14079\n2302 45085\n26888 40345\n761 38865\n17266 40304\n16885 47692\n5063 21954\n18823 19992\n777 44375\n9969 44046\n20014 35533\n2829 47280\n5813 46427\n33137 46910\n17565 22866\n2725 11117\n24586 32532\n11794 17770\n19467 32150\n6945 16588\n28727 28762\n3962 12365\n4704 21383\n11354 32768\n7225 32706\n18285 40592\n1578 9222\n10930 37916\n7845 41662\n21485 23423\n45568 46696\n10522 25065\n4322 31292\n2792 38927\n11865 30505\n44064 44505\n29176 33416\n15969 29295\n5857 42072\n19942 33874\n28078 43149\n22864 29243\n28744 46187\n39770 41055\n37404 42825\n12469 36061\n19215 48503\n12754 31619\n26713 27065\n27152 36655\n33595 35920\n35525 44999\n20543 22201\n24465 43706\n14864 24472\n22726 24976\n23238 23936\n2271 8657\n5580 25616\n19518 29306\n27106 39920\n15174 23133\n28744 37871\n5137 18377\n37378 45522\n4885 32900\n7196 25146\n4331 8742\n10421 41883\n17288 28659\n6323 11682\n10499 46176\n17834 35040\n5390 46880\n10377 28500\n4362 16707\n5932 26404\n9465 15289\n9088 37836\n4027 8448\n12076 25558\n5638 46654\n7250 21193\n34108 44248\n3132 3290\n14540 41603\n31771 36867\n7547 13090\n8962 40908\n4831 14881\n12328 32704\n10362 40363\n32868 41563\n23176 35791\n7376 40257\n5101 23643\n17378 25334\n17944 39807\n21205 43830\n30455 38471\n31647 36725\n2297 3871\n33612 39600\n5390 29965\n11397 27973\n26604 27133\n29265 44692\n7671 36811\n16085 17002\n40860 44615\n10579 18685\n652 22031\n25940 45345\n18497 47022\n19974 25745\n2846 43110\n5598 8804\n15789 43782\n36653 38593\n6791 34744\n13090 34335\n32892 37735\n21972 36757\n22153 32512\n19737 28417\n15081 40465\n8899 40085\n4978 25019\n2841 44692\n28619 31869\n2755 22471\n9602 33173\n12497 45081\n37009 47237\n10892 41305\n2255 19752\n22585 46797\n1992 30423\n17766 18197\n14201 18151\n811 21672\n12358 33365\n16478 46799\n2747 15659\n23179 23844\n33738 40168\n4557 15595\n22605 33994\n12429 28237\n19620 45276\n5489 30905\n8885 13191\n13369 44486\n36710 46542\n183 33486\n11321 18097\n4866 32118\n6569 33764\n30295 31756\n21217 33762\n13841 18203\n13085 30553\n43656 48429\n18771 33500\n38831 46832\n15833 18854\n10056 21983\n24583 25950\n14431 45145\n12959 29749\n16461 25942\n14371 41032\n5868 48287\n789 46676\n25067 37315\n328 9982\n34945 48306\n3378 20299\n40583 48283\n25651 27443\n28894 35021\n18537 19371\n405 3430\n5456 8033\n15237 28992\n1076 12279\n37354 38746\n8656 30671\n6632 32137\n4018 14699\n5918 16064\n30183 48153\n13859 17654\n18568 40368\n8592 17506\n11997 37990\n35 3305\n21608 38269\n14538 33755\n36319 37032\n1013 31489\n2935 30491\n6754 31954\n27436 41997\n31228 31975\n31993 47683\n11914 15811\n11827 14563\n3360 36670\n28155 36595\n38520 43753\n16269 19821\n18916 19158\n2319 9870\n43524 44243\n29561 30554\n393 11712\n8227 31960\n3972 6295\n21922 48614\n15206 27409\n10908 36655\n32345 48292\n14160 35052\n6402 9953\n22199 47054\n44031 46623\n16640 24972\n25576 30428\n7042 37089\n35651 45321\n6253 32450\n19769 44599\n10403 47544\n2135 34059\n46916 46972\n587 26934\n20893 34782\n25251 46452\n9466 18672\n9480 42690\n13859 24686\n3920 47562\n13289 19191\n9590 26065\n42627 47348\n22922 34629\n40556 46273\n5484 43454\n2344 10800\n16221 30937\n14672 38432\n12951 44859\n24427 45119\n5534 10314\n3661 36289\n23631 32230\n11754 47637\n20691 25047\n29057 30325\n41283 45382\n31858 45310\n26102 28793\n23734 38657\n14500 46994\n23380 32814\n12003 34187\n9660 36338\n19542 25123\n3698 19678\n254 32872\n11368 20838\n38243 44523\n37720 42466\n6483 12475\n18575 43151\n6147 25556\n41897 45569\n34807 43021\n12689 17150\n30676 46604\n21062 29482\n3014 43480\n17150 48373\n27432 32437\n11774 39007\n3915 16838\n35355 47971\n22564 30938\n22279 39305\n32177 46240\n2029 6082\n1884 17025\n20563 46039\n33098 40287\n16331 36906\n831 35057\n5271 5535\n22192 38934\n5891 10376\n16649 19313\n2878 9523\n15654 30069\n22766 48045\n3387 8872\n38434 43461\n26836 28805\n25127 31176\n31033 37940\n23220 30884\n20470 47446\n8312 39809\n4708 15137\n3267 21613\n43520 44089\n929 4442\n11119 16537\n38643 41615\n13725 42668\n3712 13011\n15131 33245\n15375 41778\n17217 46773\n37915 41565\n1785 39380\n29686 30010\n14595 48492\n20155 35941\n37253 46643\n16084 20420\n288 31937\n10250 35720\n9983 20657\n16905 38579\n20393 40431\n28279 32020\n7544 22070\n2323 29955\n22573 34461\n27678 32278\n27901 28497\n1528 12346\n11714 34618\n4970 40462\n15410 28641\n18940 46635\n20112 35746\n9382 15393\n6525 30343\n1731 21741\n36577 48299\n16460 39915\n25409 46136\n21597 48093\n36238 47201\n15353 46773\n13611 25490\n32941 35345\n42632 47680\n658 26697\n20047 42978\n28644 47636\n9556 23924\n31136 45779\n755 27533\n3330 13734\n19737 33296\n6859 41328\n26330 33447\n14842 45475\n8738 16534\n20525 31698\n7580 44212\n26133 28716\n1747 38222\n7592 17963\n33999 38026\n17400 29855\n16718 40024\n8433 27082\n3360 47333\n617 34097\n41419 42609\n6752 29524\n10850 31937\n17354 32213\n16220 41228\n28751 38789\n29733 39545\n19295 24087\n11888 22408\n43893 43924\n12510 37664\n7602 16730\n12063 12260\n18544 23125\n7048 20326\n11666 25621\n10039 13088\n7836 47216\n23276 46732\n8348 44200\n59 23167\n14006 45700\n25957 26676\n29324 40305\n27228 29301\n42626 47380\n1091 9769\n412 23767\n11787 14904\n13449 45249\n26249 35442\n4522 40874\n30000 47840\n38930 43467\n12114 13317\n20250 37971\n18227 39424\n13936 18077\n9944 29427\n7901 24546\n12560 16310\n28235 48532\n7295 45375\n14146 14634\n18563 33842\n5387 29120\n11341 33604\n7597 16814\n33212 42435\n6114 28429\n6109 22918\n10755 31404\n23724 33521\n10314 36130\n6190 41315\n37509 43831\n30744 46024\n1320 43625\n39837 41853\n23734 25573\n2574 13526\n7683 48212\n12618 23747\n28659 42706\n39546 43205\n16608 18894\n3581 18298\n18372 45504\n491 42313\n11936 32872\n24563 28220\n23342 32108\n10636 13124\n13419 36530\n7824 21444\n17660 21737\n32828 42793\n6876 37016\n32873 48503\n24720 47985\n1256 23298\n19960 47374\n25462 38299\n1941 40897\n9558 33388\n31441 33646\n4824 5083\n15334 29793\n26124 28861\n25286 29323\n20040 41247\n25403 25571\n2467 37717\n5930 47733\n35856 36319\n7523 37063\n13218 35280\n2751 12999\n32461 43948\n24286 32204\n1117 31035\n33366 37817\n13528 24330\n39806 45345\n17403 30429\n1267 7106\n4745 15997\n23498 30475\n34511 37200\n36624 40613\n15055 29061\n18710 47456\n12160 24611\n10559 42690\n32833 42772\n25638 47669\n39696 48379\n11805 12019\n13687 14042\n10121 21391\n4949 16612\n28391 38200\n7532 45160\n12441 28290\n13107 27496\n7931 45609\n19951 28517\n13806 15239\n2328 10515\n44162 47516\n11066 45776\n21534 47066\n24435 44588\n2706 36913\n9106 20825\n3522 45939\n3187 43786\n12003 29479\n17514 24416\n7671 37695\n6267 43092\n16796 41153\n13626 26656\n28514 38095\n13164 34694\n4945 6372\n4352 17659\n10187 35672\n41144 45399\n5562 34013\n20789 34919\n19005 46025\n2680 17553\n17195 40195\n2171 7857\n10482 33421\n20775 34563\n13497 25853\n21237 34058\n7924 11094\n25195 37679\n18832 47798\n10764 17600\n348 32004\n6076 12835\n27107 41096\n26356 36779\n3420 10818\n35484 42163\n19427 29151\n9672 10562\n9074 37101\n25147 41580\n8666 21787\n25710 39012\n27477 35997\n6884 26356\n52 7401\n45556 46539\n36212 43905\n36003 42709\n5704 18243\n5311 7275\n9822 29364\n6621 46753\n36279 44989\n6180 38094\n24785 38183\n8355 31615\n27234 46274\n26664 29892\n28970 30298\n19298 40246\n4786 45305\n13708 47913\n28642 29861\n6695 9959\n8841 26014\n13767 48579\n16831 32245\n10299 13140\n20599 47671\n9444 39282\n3599 43747\n959 24241\n21608 24968\n32016 41767\n10084 29297\n3206 44961\n3090 45518\n35911 44079\n2021 17909\n6367 13036\n4911 15885\n8944 39682\n37453 41626\n44929 47289\n16791 28343\n18019 35545\n16157 29204\n10927 15353\n21773 40462\n36139 38372\n22156 39861\n17886 37188\n8558 35482\n3603 19063\n36103 45901\n17698 22391\n24004 44629\n616 8956\n27263 43298\n9902 28521\n12069 14814\n25162 33516\n1928 11353\n27610 42113\n6866 6912\n11598 11611\n19414 27242\n17275 40065\n5096 38698\n25750 31431\n3421 14354\n1627 45586\n9468 39939\n27541 35192\n3998 35398\n274 14556\n13407 30291\n1028 32976\n41650 44790\n12633 21969\n13009 45788\n6992 42259\n10796 15931\n5441 41121\n7524 9381\n29545 42253\n614 1016\n10208 46784\n5606 29892\n23421 48613\n34553 44396\n32904 38534\n17144 44032\n30154 32672\n1090 10549\n6754 15552\n28975 39867\n8101 26303\n5272 35179\n41799 46804\n7928 40961\n19975 40774\n23353 28870\n6380 18293\n18985 38438\n13167 19275\n19955 39665\n39162 46768\n8124 39105\n19972 20628\n13967 20948\n2520 11148\n1426 16353\n33885 34477\n31449 46653\n118 2526\n5748 33039\n5260 29527\n7450 31717\n25250 26126\n44658 47408\n11821 14622\n11909 28083\n27064 37865\n82 33458\n4436 41361\n1379 34770\n16525 42291\n12162 24090\n28896 46495\n11847 39494\n22809 33441\n23731 45465\n13576 23311\n5068 20871\n14162 40923\n34684 40501\n33435 40708\n8222 39489\n15872 38257\n8156 9683\n12630 45970\n1957 28274\n718 32808\n12091 21940\n3507 13373\n14630 36300\n12886 16086\n3642 20345\n35133 46114\n20229 34992\n1557 11341\n15893 27030\n45627 47214\n39382 44980\n22838 41825\n12082 15670\n16518 45818\n6147 9954\n8759 29282\n17172 32478\n9893 43329\n21910 22123\n16475 41474\n5590 38591\n4513 5845\n31621 40422\n4000 17095\n23242 37984\n15297 18359\n432 18174\n4634 11016\n2306 21802\n6572 18348\n12682 22389\n18945 20078\n8702 35991\n2724 25741\n8374 20847\n30277 33038\n693 19857\n4071 21668\n22732 42883\n13261 43245\n1776 20074\n18781 27793\n23107 28755\n24760 41103\n7705 39852\n19395 39277\n13876 44424\n1064 47434\n1720 23500\n2874 41391\n26266 40203\n18412 25910\n10333 33902\n13654 30533\n13824 17032\n18498 25673\n16803 25092\n46184 47748\n25298 44369\n7689 38025\n6930 21610\n28188 44561\n4452 36214\n15488 23491\n19534 24237\n12570 29011\n3299 43200\n33408 40434\n16791 38485\n13325 25984\n5308 11795\n1007 29375\n21985 29824\n17457 47840\n28716 47935\n12956 17022\n12822 31054\n1189 3023\n2087 11171\n24385 38487\n17435 33642\n34201 45446\n22546 29671\n43404 46923\n7532 23573\n9186 38571\n6644 45561\n12374 22454\n37198 47563\n24070 29807\n1148 43828\n3401 16593\n12724 37592\n39349 40373\n10084 44104\n3093 44527\n10570 30136\n27614 44850\n10889 19371\n25780 34287\n12254 17718\n34064 38743\n15075 36276\n118 48230\n841 25334\n10083 27790\n29548 31004\n37982 48337\n1410 29614\n15620 37797\n8509 13595\n33821 46858\n35288 40030\n12288 16416\n5144 37989\n17959 37347\n1485 38087\n12653 40196\n4516 8337\n23169 45278\n16694 25917\n9933 17985\n16205 41188\n3920 22062\n16195 41661\n5713 32363\n15866 16559\n602 4706\n3826 13496\n11835 30054\n3309 14914\n27556 44663\n11861 13375\n18811 35503\n4566 39879\n5835 40938\n18283 33766\n13826 24828\n32424 32951\n14186 41368\n18062 44704\n32235 41701\n17093 33481\n30268 39941\n26172 39229\n3274 11957\n6288 24919\n30476 37831\n11843 12845\n7539 31854\n8648 16580\n1138 30816\n32792 36283\n13050 28124\n26218 34117\n8541 42589\n2134 47575\n13833 32348\n8995 45163\n25182 39514\n18286 27519\n15501 18833\n26676 39183\n20317 22569\n26998 31666\n37033 39441\n1270 18419\n13804 37718\n15332 31746\n16224 34871\n161 20900\n6337 26385\n28185 41872\n39755 44220\n4937 46725\n30347 47505\n7183 43135\n26723 30871\n3544 34014\n2524 40120\n328 21273\n13922 40626\n6962 20169\n4143 8410\n23127 45536\n8110 36117\n1833 21813\n36332 39306\n20381 39204\n31691 39567\n11173 33939\n28594 40475\n31502 36344\n2647 15971\n19148 27399\n26248 28137\n30629 36993\n9086 46855\n19374 45281\n5813 39395\n26723 43867\n13940 15891\n34512 34884\n7301 22709\n25406 39586\n1428 35052\n33339 47565\n7300 18117\n27250 37707\n26132 44422\n1659 45610\n18465 35592\n10964 19522\n6621 23461\n13803 48384\n3531 28254\n36173 47162\n145 32824\n38196 47540\n4975 46939\n32403 41915\n29491 45718\n30735 39688\n28330 35755\n6428 40726\n25445 28801\n5342 44201\n14239 33340\n15101 43197\n12894 22056\n9825 35904\n4177 34880\n744 45768\n20910 21625\n19472 28529\n21913 47687\n20213 23348\n28850 28892\n665 32541\n4991 9657\n10901 35545\n18549 19961\n3697 36283\n869 26608\n12416 17004\n5232 10441\n20756 36183\n20520 38795\n5438 19443\n23120 28021\n4857 26981\n29824 47893\n24987 32756\n4403 42889\n7721 46403\n38315 42427\n15812 25595\n43796 47528\n27728 44348\n9774 22294\n23382 29282\n644 42291\n4577 18225\n28190 35129\n46692 47360\n2603 11225\n11867 14124\n3103 41626\n312 8198\n28718 33931\n25838 45403\n8634 41111\n9072 19780\n5440 5990\n6585 25766\n29407 36449\n20131 32382\n3585 41978\n32133 34389\n26511 32826\n13606 14045\n19830 46282\n15022 40390\n30657 45102\n15524 17492\n18852 28133\n19429 39460\n17854 30113\n43399 44845\n4569 10545\n8728 21323\n31065 38407\n8482 15437\n8436 10735\n1462 1999\n23056 25420\n5391 37189\n16316 23694\n17706 30385\n768 38316\n26661 37498\n37378 45952\n5846 17881\n35022 38519\n34252 37140\n19869 23980\n14205 16956\n22982 43242\n1616 18002\n10419 11385\n2949 23642\n518 29480\n25976 26955\n3803 23970\n35613 45949\n10834 36089\n3116 36235\n8427 43373\n11427 41128\n5608 14115\n32883 33267\n30950 43905\n2720 24557\n1825 31006\n25065 47326\n3936 40431\n4148 37874\n22002 41065\n11787 31507\n10475 25762\n7559 10055\n31003 46352\n14364 16657\n11940 21294\n20695 46198\n1538 6337\n31903 47863\n852 8446\n237 13591\n31736 31864\n8745 13770\n10036 43077\n11153 35471\n7583 23626\n26517 45193\n40162 45034\n21053 21065\n35654 43951\n7493 19601\n14764 32876\n30506 33144\n15044 38408\n2843 38367\n33208 44115\n21221 28186\n11584 16782\n9046 18047\n15812 42833\n21468 44116\n34166 47344\n9662 43890\n12834 45116\n13563 41560\n21 19227\n16452 27820\n11411 22224\n7729 47858\n24670 48489\n139 22299\n8230 20307\n11561 36533\n1972 11003\n27392 35355\n15165 47138\n5492 41203\n15866 35413\n11707 26524\n12227 33885\n6202 46638\n1323 30980\n17676 26534\n14759 18169\n6162 29444\n5217 13546\n28098 47485\n9372 11387\n10640 22740\n33202 47101\n22598 34590\n45778 45929\n35421 46757\n25903 30785\n24583 41659\n35922 36426\n7631 34739\n25166 32614\n22886 25495\n1209 9391\n19341 34733\n9429 33918\n11518 35926\n1034 23996\n9393 32849\n38775 45839\n8682 35566\n34260 40897\n19621 25104\n22548 46367\n17593 24585\n1194 42174\n12378 18083\n39808 40474\n4557 22072\n23273 38618\n3164 5579\n9367 27764\n21060 40707\n11126 22956\n19185 32498\n24321 48262\n11289 36932\n24722 44398\n24075 24698\n20398 38020\n32241 39677\n8664 45330\n18860 40091\n5760 20248\n13651 33781\n13952 14980\n16182 45905\n12476 23575\n10928 19592\n1940 36511\n21144 37817\n17958 33964\n5679 17338\n17592 36961\n24421 34598\n34836 43652\n6802 21257\n1342 43390\n20420 45192\n24124 36349\n11482 36324\n11768 26244\n10591 35024\n16021 25731\n19780 27332\n8081 11231\n24443 28432\n31987 41888\n523 7833\n23780 47213\n457 9450\n8728 44733\n1053 2354\n20187 22340\n7279 23879\n3321 28454\n30406 47423\n1394 47298\n31998 42644\n30293 37894\n15111 34412\n39438 44072\n2554 16128\n6324 31049\n17825 40149\n910 40034\n31849 37459\n6431 7481\n45411 47690\n3901 21051\n8090 44218\n25937 44773\n10187 39438\n3503 42718\n22046 40860\n36464 44462\n47805 48172\n956 36573\n10453 21677\n30383 35287\n4259 23757\n11338 40647\n10882 13022\n3357 29845\n9624 41447\n12304 26519\n3118 22434\n11796 39272\n18915 45133\n23670 38588\n12634 24332\n29066 43217\n1332 36248\n8609 22685\n2551 37514\n3069 13495\n30556 40123\n9496 28616\n28124 35594\n7567 17496\n21815 36734\n22007 28051\n240 24853\n14793 38420\n3612 31323\n2789 17969\n21484 32903\n13074 30514\n2492 30680\n12440 39891\n13715 19016\n539 39838\n14012 42413\n14536 37120\n30097 33567\n11112 41582\n28173 41585\n1346 22727\n3351 46209\n4858 41349\n1805 45083\n84 13989\n25035 36057\n25977 28195\n8733 33026\n25965 42780\n6239 11697\n30180 40363\n11900 20619\n3240 22957\n15244 38142\n13036 20953\n14681 38465\n24676 44384\n34379 34470\n2475 15494\n19911 44215\n1000 6614\n37847 40217\n33790 35754\n5977 30193\n6168 25976\n32481 39479\n4651 27493\n27970 33280\n3199 38190\n20703 40846\n1763 6321\n29276 47493\n24538 25724\n9222 36085\n7910 29193\n16743 40457\n6139 29599\n2545 12151\n15903 39061\n29911 35566\n8049 8906\n199 18257\n1485 44402\n8092 43861\n11122 29367\n1401 22078\n12439 46185\n26367 47709\n19830 45375\n35146 38463\n17351 25919\n16322 17562\n8384 41529\n5509 44069\n20636 33914\n19258 46367\n40784 46495\n2599 5268\n2866 15080\n18872 33489\n16450 32830\n43353 45088\n13783 16714\n42819 47832\n5257 26389\n30026 39189\n7138 36880\n20177 40810\n14122 30970\n8808 46112\n15825 47898\n22356 28310\n4959 11661\n684 28481\n12509 24192\n25484 45224\n22008 44996\n24094 44157\n9287 10070\n15206 25416\n16805 30414\n6980 14366\n22273 47792\n25840 29359\n38478 42558\n7169 33329\n9084 34889\n7412 29016\n17974 30640\n6312 8776\n23889 40114\n18614 19478\n12919 35455\n1632 19040\n29924 47480\n41357 43555\n12393 16958\n15515 40147\n12408 32459\n27996 47379\n9673 19184\n8835 33327\n33938 44020\n9224 12867\n3930 33850\n3028 8987\n42615 45795\n14686 45972\n9868 20412\n1076 5748\n25086 29845\n11426 37968\n9127 48627\n7296 14650\n19526 37280\n26656 39310\n17350 25033\n19446 30138\n549 29371\n319 1895\n19581 20601\n5169 42735\n2692 36878\n37292 46957\n21731 26112\n47 38959\n17188 28362\n311 46875\n31788 32556\n15384 33836\n31744 34219\n15226 41235\n16127 25863\n8420 33072\n1151 37721\n13259 22385\n16660 41563\n10701 47650\n35309 38728\n24313 40661\n26844 36802\n14713 36485\n30804 32337\n14183 17376\n30535 36006\n5982 12114\n7919 14077\n39965 48285\n25906 45600\n29215 33462\n349 28884\n29379 43429\n19968 34326\n7510 24130\n18132 36935\n14573 34314\n13698 29680\n2818 9198\n17003 43544\n1125 18409\n10832 35345\n1516 25880\n7734 42430\n19666 20583\n9663 30144\n4927 46733\n12353 40462\n1207 5675\n26800 42823\n6198 34171\n12519 37786\n17741 21031\n12957 34471\n5592 7684\n8050 21999\n16231 43610\n11985 33737\n28596 40709\n22700 37472\n32905 35292\n28542 31140\n2448 2687\n1796 6066\n25124 45114\n1646 27610\n28053 38422\n43033 43363\n24113 45579\n9131 18049\n23537 44238\n15037 37133\n4456 33041\n8632 24982\n26547 35240\n7714 45711\n34821 44029\n13240 27225\n10223 35412\n11671 14212\n19251 38856\n10517 33639\n2620 36786\n8756 24358\n8107 45131\n21408 31690\n21026 43235\n14574 33075\n21736 23078\n10267 41648\n14720 37029\n2784 41880\n19465 21784\n25267 46729\n6494 24336\n37591 48353\n25505 28757\n26803 28073\n22361 26877\n19370 38196\n13114 28543\n20846 39730\n20736 44300\n5967 18690\n16692 45262\n8929 31281\n8498 43131\n14935 36850\n23479 41859\n14555 18445\n24888 34308\n2462 19715\n207 29019\n42449 42706\n6395 41310\n13779 47322\n10947 33301\n2315 36762\n23505 41672\n30010 46534\n1938 32298\n7097 29048\n10809 15662\n18503 34540\n38968 41362\n36422 40965\n15510 25479\n16939 20544\n6108 36841\n25084 38404\n11759 12410\n39954 46420\n12659 34915\n9312 15866\n5115 41353\n27336 42538\n27523 35210\n29311 41122\n11273 32233\n33269 47707\n1213 7366\n35770 41499\n40646 41578\n9308 35031\n45364 48061\n8966 23009\n32951 42290\n19685 42973\n14748 41406\n20582 38464\n40356 42536\n8597 44194\n31820 35550\n3581 44644\n10989 35731\n20846 46249\n25433 32023\n19177 25364\n18191 34930\n15186 25177\n17082 26177\n30771 42600\n9433 12828\n22476 22815\n16782 45924\n6768 17725\n12371 35030\n1115 34926\n32409 37369\n16439 21805\n6522 12394\n15984 41438\n12726 38496\n18392 25076\n30882 41014\n18250 38075\n30088 47044\n2895 21314\n1339 41814\n6468 40308\n768 42215\n14365 40440\n4784 23677\n19635 42117\n29776 45128\n25572 39301\n13659 30538\n5708 45179\n23558 28590\n9520 17313\n2591 6608\n25921 34359\n31307 45329\n5289 24022\n178 17929\n24365 26204\n17359 43443\n33380 36500\n3240 33056\n13653 40296\n15247 15932\n35415 40213\n34954 37957\n1906 4564\n9592 42240\n2550 29661\n6702 12224\n8423 26064\n3648 40296\n22685 27250\n15280 40428\n1676 28426\n28027 30050\n44293 48133\n33301 46639\n1542 4927\n11189 28836\n15742 19271\n20102 30005\n7663 44466\n2976 9577\n9494 20008\n12419 32835\n20340 43243\n33043 34347\n19796 38518\n5731 28415\n5157 32024\n13589 14471\n8914 13312\n2587 38257\n8710 21490\n13919 47860\n8913 17065\n30693 46991\n38526 45373\n25523 30649\n11656 41865\n12433 26297\n15053 46292\n22485 25288\n16521 28038\n16711 38207\n18411 34532\n7049 8717\n32360 47434\n32539 32815\n20166 27560\n3842 19688\n44151 45991\n23762 44104\n28407 32171\n6871 36299\n11112 38303\n13417 33440\n18325 30267\n21253 31241\n10009 10795\n10977 10986\n11242 45302\n14184 36588\n34529 36273\n3776 41578\n42277 43303\n9847 33463\n19956 34215\n7201 13268\n14801 20374\n9154 11280\n10459 47198\n13219 16465\n31181 39890\n3347 29580\n9322 30153\n24963 28944\n6712 31215\n35659 41615\n7414 15169\n41310 44992\n29497 45250\n4176 42060\n564 36427\n16365 33653\n14074 15894\n8827 48336\n17557 22937\n23987 36989\n16498 47965\n2730 21559\n31335 35344\n34461 36522\n4665 11416\n39388 39535\n22251 25630\n1167 35762\n20310 29843\n24126 43453\n14397 43868\n32883 43699\n2238 4721\n19427 19682\n1329 48453\n522 12032\n27600 30422\n25900 31099\n15314 40638\n8596 11136\n4830 47337\n7125 32166\n7648 44532\n694 45007\n8978 10921\n2193 46046\n8020 17022\n746 34507\n7233 28475\n42061 46486\n3614 46703\n10107 39656\n16996 18254\n18101 44531\n37896 46062\n17663 37662\n24138 34520\n2234 33876\n23028 27182\n5204 16316\n4848 47665\n44152 45514\n35151 42355\n16753 42693\n3291 10107\n14518 18026\n21814 39022\n11045 12517\n19489 39110\n26007 38334\n20003 29493\n8559 35270\n4195 22714\n19652 26506\n4888 12084\n36111 37816\n4953 25013\n6421 10372\n15658 35554\n11630 23015\n7143 24511\n31266 45542\n33879 38627\n12156 34985\n31170 40690\n2472 23711\n7034 28094\n31561 37733\n16062 46788\n8411 39749\n10332 47736\n10534 20963\n7490 22492\n10864 23323\n5170 21677\n15432 18436\n7566 24869\n32697 39735\n40115 48394\n9188 15230\n29201 42975\n7859 37739\n261 13728\n33206 45622\n39259 45286\n28939 35461\n27400 38863\n10655 43980\n3906 7026\n13917 18221\n2970 12299\n3218 10989\n10760 26661\n689 25762\n39769 44030\n10551 15811\n2369 40222\n6782 27286\n1197 38330\n25641 43420\n6242 30804\n20823 32279\n17365 26913\n21815 39074\n6082 6755\n21006 41089\n21790 44426\n13802 37703\n4089 40763\n34612 46335\n36130 48424\n21633 24925\n41168 45707\n34704 35694\n22348 43971\n47052 47609\n2744 44956\n5411 35306\n10688 41669\n14175 43760\n6106 11380\n33427 43656\n5255 37028\n10634 22114\n467 29578\n11238 17400\n31215 43143\n30888 47401\n17705 28612\n32073 37783\n7043 25388\n24101 34870\n8362 28783\n3478 8147\n39288 47400\n7621 12896\n17081 36697\n42051 48315\n6083 35671\n2393 6884\n26188 45353\n7928 41634\n19959 35235\n12764 17174\n6849 21603\n11904 25771\n16099 36780\n30684 40579\n40468 47208\n15981 18831\n19402 29380\n13318 47526\n530 39601\n6419 43118\n11002 34971\n6948 21425\n14186 40910\n17456 42480\n5667 20017\n31857 36824\n21935 31869\n6491 12198\n6019 41789\n19684 41980\n8447 28533\n23764 48084\n3345 42400\n7875 8392\n42015 45490\n14775 19593\n22876 26935\n13762 25852\n25108 36874\n27158 47211\n10754 41956\n659 22816\n19560 24540\n12166 41251\n9052 19494\n14649 20220\n13410 21279\n16728 36809\n41535 42632\n7292 28394\n29078 41656\n18356 40502\n17112 32673\n9337 43681\n17590 19567\n23668 23834\n42765 45358\n2177 32628\n2423 31934\n29144 31675\n2532 21279\n26952 42223\n28373 44790\n5209 42001\n36552 45998\n21341 35784\n20313 31528\n23534 39755\n27036 34672\n27500 47321\n2064 29314\n7001 44446\n2797 29422\n32905 48175\n39574 48292\n15083 38502\n15958 32987\n18373 33989\n9013 31727\n9726 14141\n16295 24838\n13558 29322\n32690 41190\n21764 23955\n33646 40925\n31506 46839\n15769 41569\n303 9796\n22260 40823\n17022 28843\n1895 18968\n12680 36230\n22369 37332\n37612 43386\n2316 30188\n4857 13573\n7583 15196\n27596 41498\n38879 44437\n12730 40301\n9812 26512\n14390 31534\n15925 44941\n1763 37997\n8482 29394\n16673 27422\n12434 14906\n7368 25767\n17997 20416\n16459 45058\n1742 19013\n4923 39375\n21127 36754\n22860 44192\n3961 23320\n33509 42605\n12561 41766\n17105 18436\n11230 29268\n13425 24709\n23333 44077\n1095 38872\n28394 30013\n33786 42711\n7878 48031\n9708 30068\n5970 7114\n2441 19111\n24678 44786\n15031 41332\n10189 44740\n38817 39345\n6130 43778\n469 8436\n3923 18644\n25859 48121\n13292 41005\n32691 37964\n30436 39861\n37451 41771\n3259 27154\n14922 28595\n36219 44233\n36126 48392\n31548 33613\n8807 13492\n15117 30823\n1941 14814\n19207 21201\n30284 46183\n36651 45849\n20608 30577\n19087 32080\n23259 30414\n25548 36804\n28970 46800\n3941 44385\n25773 39942\n17185 33707\n36494 46293\n37085 47713\n4695 33456\n18113 37093\n19938 37328\n23250 31230\n16097 22303\n19102 43309\n21724 23341\n13150 14988\n36258 41466\n20867 31581\n11436 24869\n21911 45850\n8920 39483\n11170 15632\n7695 29026\n36800 40665\n27429 41458\n18427 32234\n1573 10603\n20371 34788\n3507 10996\n34484 40596\n10086 41290\n5824 20985\n1241 44640\n28054 35390\n39199 43060\n16806 23379\n7085 40405\n22991 40531\n21091 23707\n13115 14922\n22596 36043\n16016 45669\n18572 20020\n33105 47175\n17302 48563\n535 41311\n10486 19881\n33497 46384\n23848 28227\n33940 43777\n29111 45342\n3488 45159\n17395 18347\n12279 34415\n38263 48207\n9296 48172\n4453 28387\n11438 43753\n19307 46582\n22535 29298\n9404 14990\n40854 45023\n30488 35341\n9520 19967\n6782 15792\n761 29277\n21399 23181\n1509 31289\n23212 24005\n28341 29399\n27260 34202\n20682 39282\n15474 32850\n10197 42945\n21249 33820\n5776 28872\n47550 48233\n30298 30505\n285 18123\n14229 16976\n1442 29594\n35870 46357\n8666 32890\n11281 38622\n30550 43235\n26612 30588\n12772 33805\n4687 39095\n16741 18846\n10700 31044\n10099 13447\n656 38770\n32142 33355\n28218 39533\n37065 41790\n17775 27606\n8859 32634\n10722 14032\n31969 48408\n1778 8641\n11373 29588\n7807 11063\n4331 40528\n37736 39697\n25144 29417\n37575 48001\n19270 38752\n44996 46749\n9086 10601\n25760 38726\n14530 33257\n30141 35690\n18918 31355\n25647 37920\n36048 39072\n17446 42041\n14728 47750\n18555 27263\n28131 41661\n18628 38146\n786 5693\n9746 28920\n6799 45633\n10457 47057\n13851 20214\n7724 17686\n25628 34219\n30081 47004\n6263 17594\n1978 35707\n24331 31228\n343 19379\n44670 45596\n12109 41720\n1898 35350\n1032 33906\n7434 45306\n13454 25352\n16151 41842\n5447 21070\n24084 43696\n21509 32736\n14392 47419\n44237 48427\n16498 38316\n28079 40353\n1247 8740\n32266 48045\n2389 15745\n1961 39922\n1777 46284\n3879 20093\n9914 47089\n26401 47303\n2715 45304\n375 38771\n19451 23028\n14518 34321\n27693 43662\n27608 47828\n21860 46620\n43767 44443\n19749 23537\n10259 17126\n20561 47807\n15744 22356\n41013 45769\n7924 10057\n40815 46821\n8031 22365\n22992 39848\n10554 19055\n5501 42806\n26901 32057\n8155 17117\n4209 30155\n8998 19663\n32473 37958\n31824 36608\n38491 45827\n19323 29403\n198 7371\n7894 8222\n5391 20206\n9195 23812\n13947 35761\n21914 40788\n19056 20591\n1552 23068\n8866 25832\n9377 35199\n26002 31576\n20936 27753\n1928 18846\n1774 1976\n34251 35161\n12904 34433\n17699 27178\n10720 48296\n6912 41434\n29147 46218\n16027 35563\n6765 29699\n2906 44115\n12722 26645\n30592 44812\n1076 34697\n3707 5209\n10750 10903\n16699 33491\n26618 41627\n34270 43150\n18998 34943\n23653 44589\n27575 36201\n1858 24811\n29757 41102\n10831 47635\n355 34899\n16996 25401\n16082 20613\n1368 41305\n26237 48497\n32271 35527\n17626 31308\n26867 46375\n19322 44444\n8008 29955\n1341 35998\n18352 25292\n1219 21159\n24980 31534\n16265 41086\n9994 39400\n31353 44706\n17884 45897\n19069 30529\n9770 16187\n22128 31873\n8089 23165\n32201 45060\n3216 16252\n15301 30548\n14523 31162\n30643 35588\n13640 36070\n2892 23611\n3738 13456\n19191 47402\n28541 39638\n4942 41851\n103 42651\n22773 35767\n16621 41154\n14853 33684\n22404 24276\n6183 22685\n25106 25930\n646 44080\n20396 46909\n19501 37999\n9422 10197\n31570 41906\n12570 30194\n10390 13375\n10820 37511\n24985 29462\n7112 40585\n3617 20606\n39102 39178\n1249 19281\n8199 44805\n34614 40095\n16511 39724\n32559 39943\n3426 14312\n30158 33650\n16077 35497\n28172 28498\n30923 33194\n997 31406\n8647 18697\n19682 45742\n39296 44811\n10230 39324\n1891 5641\n4997 20282\n20663 46367\n6461 11939\n9494 40078\n19689 22475\n29230 47820\n3616 41633\n15169 34486\n28684 45845\n16877 26214\n9418 28078\n11534 37761\n20698 45445\n35794 41092\n14878 26004\n19825 24046\n3793 12465\n10447 15746\n29227 36022\n29522 39501\n27213 45426\n11652 27999\n1492 33036\n1514 22111\n11144 23285\n36775 45791\n8978 24332\n3978 26386\n18770 43133\n12285 23566\n3265 23782\n5446 13818\n21879 36100\n944 28987\n21451 23800\n31122 44873\n10315 33729\n17804 24179\n2383 42005\n9888 18802\n40350 46234\n16759 46730\n10814 42137\n33780 41355\n7929 21017\n21074 35862\n12997 18426\n7417 39816\n8475 28110\n31684 33396\n17515 25195\n4467 16555\n18772 28540\n28288 32352\n8638 21243\n43375 46236\n13221 33039\n17936 38641\n21540 35200\n12765 18665\n4311 28818\n32780 34828\n22202 47301\n2523 42730\n38058 38463\n22835 25598\n10335 33445\n16856 25179\n4379 47034\n35766 37653\n10600 28140\n16023 47761\n37936 47652\n27707 29796\n3534 46839\n13295 46627\n2662 25598\n2852 27422\n29357 32069\n13644 16974\n35024 41479\n2489 3772\n11506 33651\n11703 14443\n17743 21698\n25680 48481\n33180 40739\n33574 47057\n3772 20073\n10468 38818\n12011 47307\n2691 34584\n4507 21877\n12817 15320\n12080 36209\n11763 27274\n38879 48090\n450 7301\n29757 33149\n8643 27132\n33939 43714\n23274 24499\n9616 44784\n12359 46797\n13826 18787\n32815 42818\n17992 38204\n2866 11745\n10516 45540\n4190 23732\n27728 41737\n24297 32125\n18915 25412\n23299 39642\n23621 47150\n18337 26583\n23125 43112\n24034 24855\n6369 37951\n41293 41520\n1587 26065\n29997 32204\n15908 32278\n20387 22089\n22859 22936\n5286 32308\n10000 44892\n34160 41916\n2322 32565\n23497 42970\n1679 20330\n1359 12920\n711 25897\n2078 23131\n17815 37919\n20716 25701\n1734 13929\n42741 47012\n34291 44420\n17640 25855\n26180 27436\n142 39662\n3008 8627\n7415 30923\n26588 41359\n18754 40112\n9097 24493\n3938 10161\n30393 35122\n2385 18677\n4538 45515\n3721 3769\n2233 21399\n28641 43876\n9208 31458\n7972 18376\n718 32538\n8676 8799\n9849 20808\n486 25707\n13767 31335\n5624 46422\n950 20302\n9401 21089\n24677 41678\n21731 33580\n2835 5832\n5120 32773\n22258 28112\n4306 38881\n7309 18530\n21500 26063\n23407 42590\n28469 42845\n33171 42434\n11167 26610\n882 11671\n8044 29563\n1341 38487\n15185 38830\n15922 39985\n21946 34447\n19463 20947\n7558 20049\n1957 21651\n20462 35346\n28672 48442\n6152 46606\n24067 33420\n16736 43380\n37741 41640\n38328 47449\n10412 43933\n3856 27550\n17695 34585\n17940 25618\n29352 39781\n9241 18597\n5937 16413\n7247 30319\n7993 44290\n7905 19986\n30537 32893\n46906 46929\n17119 29512\n26963 47035\n2216 4480\n13893 47432\n10782 48306\n23697 28553\n14605 27721\n14383 34714\n360 28145\n17901 20168\n19599 31661\n9698 33726\n13969 33929\n7324 28460\n4034 38715\n36408 47238\n17750 25398\n2666 6613\n30514 33712\n24737 27039\n16815 48672\n12124 24447\n17005 48442\n1624 42683\n15700 20683\n21887 36571\n37424 43837\n10394 26684\n19540 39991\n1239 29995\n28505 33062\n2118 35062\n7171 17093\n26235 45340\n254 30485\n6034 30711\n9990 18729\n5878 9565\n12935 29566\n16625 35545\n10904 46973\n9320 20322\n10582 32748\n21007 32961\n3975 36479\n16667 47425\n21906 23792\n28921 39885\n18499 33775\n28891 32509\n5437 40793\n470 12526\n661 22465\n21493 34025\n9638 16299\n11498 44749\n9009 42945\n18371 35417\n23244 25004\n9800 30265\n30177 36939\n18652 20971\n16916 31637\n10461 23189\n804 35162\n32836 39155\n8867 15778\n40947 43555\n28623 37302\n2473 41259\n16912 23452\n11438 16619\n6735 45107\n9796 11241\n2161 23723\n30344 32791\n128 4378\n20488 31961\n13155 40720\n17761 27221\n41144 43931\n16432 24096\n1697 32424\n39601 46129\n2350 20469\n30082 45662\n17768 21018\n3968 5117\n18521 22753\n29042 41771\n22496 28511\n29275 42374\n17528 38850\n21604 30866\n4334 39724\n27612 37516\n20566 45024\n38021 44142\n31609 48451\n32710 44817\n3597 36740\n14317 18038\n328 13580\n14875 46585\n9218 40402\n5854 12564\n30088 36360\n32950 40787\n10072 34374\n35872 37451\n8151 8528\n28310 43097\n23138 45286\n30306 46847\n18414 42193\n17375 40704\n799 24057\n701 10935\n3920 48272\n18021 43820\n11506 34226\n6909 29037\n9750 39468\n6242 48236\n16527 46391\n11096 44666\n10341 30973\n31528 46118\n3627 39640\n7788 34118\n21449 43774\n34893 40725\n24647 44332\n9745 38604\n7460 8918\n22858 36748\n16867 39854\n11759 33240\n10907 44878\n6399 30198\n20604 25448\n12518 13400\n32957 42206\n22217 29774\n11978 13119\n8336 40774\n2514 18719\n2932 23723\n7897 17950\n7019 12421\n16226 24583\n762 33832\n7566 41423\n1162 9232\n12151 47352\n24538 47630\n22550 25865\n28578 30407\n19225 37013\n6530 7757\n4237 26300\n8951 39487\n26831 37694\n19377 37126\n14243 33240\n6195 37736\n6433 17701\n42265 47701\n23167 39112\n13611 40346\n31086 36654\n8612 17165\n5264 22279\n18960 28972\n22041 42832\n7813 43820\n25672 29734\n19190 33208\n24510 40968\n41477 48649\n7159 40152\n15611 27615\n3082 4389\n795 8334\n7259 46945\n41172 44721\n5164 27588\n21911 30183\n6352 18068\n18780 38411\n34936 40952\n3047 14768\n4689 46493\n22217 29533\n7484 42583\n9758 30875\n23272 46040\n8783 20449\n8048 27401\n7767 47565\n3944 22751\n835 8548\n9568 27400\n24629 33940\n18255 24116\n1515 34949\n6563 36947\n3879 30875\n5211 47312\n1599 23273\n15062 36999\n10833 34711\n22859 44618\n26660 35207\n14902 31131\n18458 46615\n29360 44311\n20817 46646\n32494 43641\n40018 43578\n9193 26890\n20221 21868\n7106 10313\n605 14061\n11555 31698\n1498 45343\n26689 41084\n25885 47892\n37694 43808\n3535 27245\n8603 39115\n38183 38577\n20204 38376\n10843 46568\n3982 25985\n6083 20775\n10479 21077\n33926 41434\n10648 39882\n2241 27353\n12707 28347\n5060 13717\n18564 27914\n7407 42854\n3190 13134\n34526 38894\n36497 44586\n19560 43473\n16980 30580\n10389 44016\n3672 46222\n4960 45607\n3675 13889\n22693 42593\n8892 17271\n24391 32078\n11199 41317\n21551 29433\n23086 35145\n4796 23527\n24300 47551\n127 13694\n2580 30658\n311 30672\n23559 27018\n26764 28555\n13279 35463\n3474 19656\n7616 42256\n4661 31572\n9284 17801\n26798 36056\n20495 28351\n25141 44304\n34439 35026\n15206 38039\n1980 47633\n18861 41970\n196 17948\n33967 47760\n3246 47254\n155 24634\n554 42504\n17214 23183\n11438 21418\n19286 37314\n19860 27498\n29185 30844\n14730 38230\n13279 15169\n8863 10362\n13066 43660\n10918 40639\n3554 43370\n7560 41576\n32832 33659\n2512 39245\n8336 10879\n29434 48145\n21021 40827\n4428 34362\n16945 28317\n15443 15729\n18640 37544\n16665 31482\n23054 31365\n24974 46839\n24590 38030\n2229 10229\n13672 28163\n298 48560\n13993 32216\n4243 31120\n6733 29170\n12569 40526\n8827 11197\n37129 40204\n341 38995\n5556 41228\n7293 28772\n202 8811\n46860 46952\n33601 35860\n14177 47454\n16799 21791\n26461 27141\n10374 25358\n25957 46463\n8908 44904\n17985 20416\n218 24776\n9894 40445\n1003 33233\n6780 11234\n3965 4602\n16547 21129\n19583 40472\n42185 46602\n35381 44001\n3823 7429\n29213 45625\n28109 44303\n20328 21355\n7215 42461\n3566 29335\n18925 24289\n18399 38213\n16218 33408\n11587 24585\n38398 43199\n12535 22124\n7456 37919\n28 17794\n8156 32368\n21789 35660\n17192 42272\n14389 44433\n99 19894\n22583 43670\n15544 44536\n22381 38939\n36365 40179\n9912 15502\n13992 16109\n648 30799\n1270 44298\n5644 27121\n9461 47781\n352 24845\n735 11731\n13062 43532\n13463 47015\n16392 24353\n2547 21971\n2419 10977\n36468 40105\n31630 37508\n23652 27983\n41734 46078\n27832 39848\n4132 38256\n16248 43915\n27850 41706\n39616 41688\n39221 44356\n6851 41759\n25394 38797\n10168 12928\n24803 45035\n3973 17014\n7183 38281\n5426 41898\n18856 26822\n25559 25884\n29562 32196\n1130 43282\n22683 43343\n339 19700\n3930 45127\n14610 36362\n4354 17387\n12549 27365\n18142 23082\n24307 27234\n31034 43637\n28032 45389\n7269 41258\n5515 39436\n13105 32077\n32333 40472\n19691 33814\n499 40900\n12203 33863\n27084 38549\n15519 36866\n11855 31301\n29847 34095\n3721 30838\n11821 37494\n32748 43553\n13390 48039\n19880 44998\n15127 28608\n12487 41623\n23932 38379\n10027 47102\n28220 28271\n15360 46703\n35656 43341\n18768 23852\n11694 34777\n12103 46729\n5485 37073\n33099 46420\n29382 30294\n18200 34420\n21362 25978\n21999 45265\n1017 46354\n17914 24149\n9971 17060\n4569 45167\n1742 7401\n30399 44135\n37730 45200\n19859 26854\n13266 33173\n17794 19696\n8008 32311\n26672 32824\n24190 30277\n7433 12011\n39944 41031\n19788 44822\n4672 21416\n18654 22685\n1104 11470\n17289 35914\n6727 15046\n20245 27401\n951 44207\n1978 17179\n4511 12499\n2250 47182\n27451 42847\n29871 47447\n8150 36924\n3450 9471\n89 11313\n38791 42367\n11666 20865\n38114 38642\n2581 9811\n109 4553\n10570 32949\n3199 27541\n10118 44103\n10681 21304\n43626 44653\n15311 31031\n10539 22092\n24479 29833\n4452 9719\n10330 39298\n7340 43844\n13250 38199\n21060 47691\n7530 46458\n7733 45749\n26841 37095\n45247 47501\n21620 32921\n25420 38471\n371 19543\n34627 40784\n26572 45084\n5704 12206\n8493 8715\n25938 27534\n30433 41132\n2672 47144\n30634 44985\n12828 22257\n27762 37276\n22241 41305\n20962 21116\n27559 40238\n2269 33292\n6529 29870\n580 34024\n12160 17721\n12894 16095\n12337 41917\n20604 28871\n40530 47252\n7812 42118\n4593 29467\n21550 47695\n4572 48181\n9019 25379\n14650 43274\n22101 23757\n30466 32190\n6404 20199\n11048 38775\n18179 21886\n723 40541\n4713 41680\n2870 36651\n4430 37916\n14766 46143\n11996 45677\n12081 32256\n1304 7052\n18388 43145\n4122 43769\n34162 47130\n29664 43852\n25261 32733\n35500 38686\n39830 46795\n20974 41659\n6101 27137\n1029 48376\n11101 23898\n9122 14935\n2946 11014\n8791 21522\n24068 40224\n9014 24024\n32687 33589\n23067 33798\n27 12235\n26851 36485\n11619 33587\n37112 44372\n2810 29048\n37038 42721\n33548 38060\n25703 42012\n10442 11747\n13294 27646\n24517 38364\n13236 31606\n19682 28114\n3204 15382\n38144 46501\n23424 41508\n11345 43641\n11561 36438\n4795 43629\n19825 42829\n751 1082\n21353 31056\n37112 40881\n24241 25276\n7388 29508\n21199 37511\n4769 12619\n14267 43541\n16074 19424\n2551 17287\n25853 35027\n8105 45118\n965 12969\n15466 21006\n9187 44593\n37758 40817\n2126 9065\n11786 19180\n23247 26843\n2894 11403\n20426 36094\n10172 45724\n9380 17336\n3324 17960\n20267 22838\n13445 47756\n8009 23585\n6651 37775\n1454 4906\n6320 18865\n3051 14247\n5614 34414\n30646 45917\n3324 21615\n38460 38580\n6612 33943\n4495 20760\n15523 21557\n28798 40525\n2607 33627\n14437 36592\n2202 18080\n15787 24326\n18014 21386\n6285 39604\n3206 4513\n25583 38205\n30416 31233\n10243 15638\n19911 21488\n25271 44407\n26400 31059\n17778 41876\n2943 4361\n2524 27645\n16495 33657\n15658 33844\n20598 29465\n21848 28529\n40004 45655\n4387 20555\n4616 8323\n18563 31281\n16547 41819\n5262 29468\n14267 21017\n320 9067\n23085 38463\n16005 43654\n13513 42093\n15559 26947\n6879 22062\n33533 47871\n6976 15412\n18855 28844\n4752 8796\n16278 40528\n1870 14210\n25647 30534\n3218 33217\n1960 26805\n18810 38048\n14614 42484\n3800 7377\n10722 25775\n19015 32811\n13170 15690\n3285 29176\n15417 26512\n497 48091\n16147 34782\n6527 34280\n15213 16659\n5730 19074\n20324 40557\n6365 44913\n27690 39313\n10089 31223\n11563 41380\n5725 21271\n22004 47348\n4303 48081\n31314 40595\n15650 30454\n28332 45743\n27039 46501\n7708 41993\n624 5690\n9941 20108\n5294 24412\n38313 45675\n487 5985\n13425 25327\n13240 36300\n3292 35233\n8537 47960\n14104 42369\n12890 18128\n4968 11905\n18892 41764\n30947 43436\n23502 39674\n1063 31448\n25819 29068\n16822 37527\n14810 31570\n12187 36048\n13923 23266\n42187 46541\n10076 32686\n12952 34172\n24267 41387\n3843 15984\n20950 25924\n19109 37244\n20370 26712\n26300 34632\n28983 29065\n4233 37485\n35041 35582\n15887 39287\n30040 40635\n21840 48424\n24023 35712\n15828 34615\n22883 46759\n20526 44091\n6680 46119\n20226 40431\n11800 13320\n11811 13951\n39728 46698\n8465 34170\n6691 10435\n24435 25415\n20052 30553\n24125 48243\n24242 29276\n4145 46769\n20195 37603\n18828 45962\n4726 29191\n27669 29390\n5547 33164\n23229 33361\n34314 42864\n33546 47715\n3479 28144\n41747 44952\n3003 15104\n2212 20070\n33206 47186\n13609 36490\n38252 44482\n2859 38250\n28413 36251\n9378 26338\n10957 15372\n25752 46947\n12854 41630\n11476 21860\n27923 28588\n11580 34995\n13379 16927\n11465 40489\n6208 42957\n40978 46290\n3407 33129\n4518 34385\n26720 35393\n24788 38664\n12936 25385\n8233 8290\n36164 37759\n13987 48637\n7724 19256\n20290 38326\n29469 40945\n29528 34365\n20865 25988\n26211 35281\n462 1247\n29802 45072\n13378 27759\n22856 31068\n2467 40407\n2244 31186\n27028 39046\n5073 25025\n16158 18096\n12022 18546\n39305 48402\n3755 15841\n22141 42147\n27712 43064\n7058 12911\n18430 45731\n12301 44395\n3641 41113\n10702 14771\n14413 23176\n2769 14435\n10240 19099\n20708 35822\n30625 43836\n18507 25789\n15084 16702\n20150 28642\n34265 37526\n5068 46758\n20981 23308\n2399 34354\n17704 20593\n38786 48380\n11985 29860\n9422 40512\n4975 10810\n38394 43935\n21779 47404\n15589 34041\n11013 15279\n4474 40810\n19521 48205\n5374 22506\n18780 39658\n981 3832\n10845 38478\n15891 22850\n27771 30312\n28676 36510\n12019 41390\n20382 20411\n22209 23936\n22997 24146\n36602 47830\n9818 16870\n4104 22572\n4319 41592\n14047 40285\n29167 32355\n26152 29252\n22170 26986\n19503 23785\n15514 22837\n16370 40270\n13283 28155\n696 44850\n37 37160\n2973 12933\n28986 46750\n6010 38063\n935 13784\n16857 21024\n11832 16954\n23158 25051\n28984 43313\n831 2505\n22453 35025\n23524 23816\n4968 7046\n30231 46776\n2775 5151\n9471 23206\n950 1580\n39906 40515\n14329 32123\n35274 39523\n17065 39254\n8840 36262\n1695 19330\n15749 30773\n13004 41241\n24588 35409\n2751 13404\n37035 37441\n17805 38437\n31767 38057\n772 33063\n15861 30031\n2578 45521\n11011 18475\n4232 29767\n38563 46576\n28275 33183\n10661 36091\n7030 46264\n12248 14795\n10754 41279\n13276 25394\n14349 34443\n3916 26882\n8699 14500\n37134 45909\n19353 31056\n25059 25147\n15305 40085\n18131 30611\n37302 39991\n35621 43747\n16376 45552\n10073 26427\n3547 8277\n16111 19519\n11433 30416\n2674 47918\n26012 31170\n9407 41144\n7984 10840\n23572 43938\n25176 46316\n27552 37513\n4074 10039\n2558 30052\n17692 35528\n5820 6035\n32192 41528\n31525 36954\n20617 37794\n11040 38057\n39926 46756\n5518 19294\n4321 35950\n20107 37867\n38541 43162\n13964 28918\n190 10592\n19772 21936\n4783 27227\n4293 18395\n886 29066\n21449 31554\n19692 34686\n3420 34344\n8852 47428\n44170 45533\n2251 34980\n7840 41478\n21992 47320\n3917 5819\n9776 21836\n13966 30689\n40738 42509\n1940 18026\n44541 45709\n2212 38340\n37281 41898\n7834 43919\n8551 47470\n6741 9683\n19719 36963\n9591 13948\n31685 46251\n24315 38842\n2450 3590\n3757 46910\n8025 11579\n25267 32248\n14191 38049\n13697 43625\n6164 33636\n22278 37833\n37472 44688\n11015 35847\n24126 39890\n19546 24109\n1593 31077\n3734 24400\n14168 35394\n5632 13566\n30639 46087\n32605 47339\n6150 19236\n3495 44798\n221 37529\n26124 46761\n10430 37599\n28735 47855\n5328 7193\n36368 36928\n10916 27248\n33020 33276\n22763 42152\n12070 36275\n46034 46910\n32584 38899\n4805 15253\n19128 23206\n11387 46185\n3166 11156\n10154 33699\n10132 25853\n41102 48659\n25260 31264\n33896 37503\n16307 32795\n8502 47980\n19412 23970\n1510 33785\n919 48520\n25620 44176\n3763 31848\n14868 47429\n10361 42793\n12303 37651\n14589 26058\n3294 30315\n13317 26681\n29584 44777\n33312 40040\n29557 38112\n19571 27489\n16101 16147\n22217 32183\n13506 48416\n35627 37291\n3514 32658\n6110 22625\n16837 38516\n26805 33027\n18594 30176\n37288 39610\n14393 24586\n17914 27116\n24435 26258\n12224 34582\n17389 25063\n6316 23550\n4086 26203\n18841 23865\n4175 40826\n3866 23767\n19790 36594\n11701 34702\n11392 31027\n10352 17967\n15822 19887\n12431 28166\n34638 38372\n13280 25420\n5278 34405\n11108 35273\n39595 47444\n2104 44235\n6436 20746\n11531 48338\n30713 46179\n17783 48129\n32895 41764\n31789 45321\n14780 21507\n26419 38168\n21475 40022\n36517 46749\n8746 40774\n44311 46111\n21556 34824\n5953 16384\n30750 30953\n2015 32186\n5829 14817\n15904 16331\n28093 41712\n3923 32519\n3906 29442\n4267 6410\n22495 32622\n31368 31911\n33852 39361\n7357 16977\n11373 25575\n19823 23697\n12256 32371\n39588 42852\n6668 40964\n6443 26151\n9997 10599\n22915 34872\n8423 15371\n4772 19659\n28921 43836\n707 26026\n14263 21078\n6717 25093\n5235 24781\n25589 34114\n4838 36574\n2372 31601\n23395 45923\n3600 31743\n16468 28590\n10001 11691\n13251 17739\n10708 21964\n10839 39890\n20399 40251\n8826 37366\n14438 43596\n23366 25126\n8663 31015\n30438 47857\n33992 45190\n4075 44558\n28683 39869\n19787 23211\n21385 32836\n25875 45284\n26796 29016\n9708 22518\n22654 42932\n2740 27543\n15825 37903\n1778 6219\n14846 37230\n9419 22642\n4306 8802\n6965 23655\n4157 44762\n19497 27190\n33224 39787\n6962 48274\n13157 15535\n31479 48146\n5946 33327\n29309 47889\n10466 36569\n15928 23333\n19605 33795\n35941 41205\n1411 7376\n12991 30237\n34285 47405\n6374 10356\n6996 21272\n551 23390\n10720 21438\n6836 34970\n5160 30209\n19173 34513\n3114 27213\n27437 31505\n33979 44910\n37950 38998\n3875 21861\n8453 12912\n5495 8409\n12690 31864\n5531 47242\n3691 23140\n11869 39657\n16307 33526\n7000 15482\n30655 44710\n17343 46950\n15672 24766\n44179 47606\n9543 39669\n5467 47324\n18718 27095\n6281 24321\n7327 29687\n12129 30311\n25147 39574\n10306 30650\n3716 43181\n21362 36903\n16695 45199\n1714 21003\n5353 22859\n19372 20916\n10255 45343\n2508 11212\n31719 45581\n10496 16245\n28036 41008\n6475 24112\n20424 22542\n29475 38024\n35938 44859\n3813 4174\n38474 47623\n26090 30584\n6355 46736\n25274 45099\n8450 40487\n29193 45449\n31537 45317\n12531 18098\n30924 32547\n16097 38929\n21409 44024\n17722 41886\n9404 21234\n16584 17239\n1749 29951\n25153 41917\n7430 29647\n30460 42075\n3778 46591\n1827 40006\n6461 11553\n14027 42742\n3193 4772\n3257 8984\n12928 45675\n8489 27510\n23156 25918\n18023 35754\n2413 18309\n31282 41704\n6693 11356\n19557 19601\n33168 46737\n5534 47387\n22946 46636\n16662 37313\n34355 47745\n10761 47215\n14382 39224\n26049 42018\n18763 34601\n27173 43394\n27349 32303\n3537 4708\n6524 7872\n17056 18262\n27586 32803\n6272 37571\n11245 31110\n32800 41928\n7119 31685\n7539 36336\n10234 17320\n16850 37025\n13841 22819\n34140 43678\n32564 33264\n1184 46647\n20407 28630\n31252 39437\n10901 12174\n25590 26067\n3525 39530\n5772 28319\n11220 27575\n6986 38540\n11196 16627\n32890 41051\n38110 40109\n3715 48558\n10397 31023\n39192 45895\n11851 18285\n8750 33869\n6449 10098\n23067 34886\n20055 27126\n23162 45478\n3725 43415\n3702 24046\n3104 40017\n2315 30453\n34451 38031\n6919 15305\n4650 13550\n15657 29672\n46261 48678\n18669 23634\n21231 32257\n21233 41394\n29734 43316\n3144 6114\n3949 15368\n29575 45168\n11214 37956\n5456 33900\n28367 42532\n23164 26793\n35808 47844\n3496 18976\n7437 24427\n30980 35446\n12802 24541\n23607 25511\n19721 21621\n27000 42117\n27088 45296\n8942 47120\n23321 28858\n32652 38958\n9663 39735\n6314 35041\n4201 10610\n12655 15957\n8491 28734\n320 33527\n4258 48390\n20377 22781\n12034 19157\n23452 25242\n10358 18181\n31203 43537\n26044 40910\n3490 8235\n4510 36993\n1859 14396\n2666 29938\n3148 21758\n41747 42266\n46548 46700\n21066 25741\n22442 29754\n14193 36251\n17929 48608\n17339 42489\n29279 35105\n21223 45704\n15027 21332\n1146 2866\n152 48420\n3231 39092\n10454 42159\n16215 43161\n2880 22040\n318 1999\n35268 40110\n27669 29267\n34238 37334\n34010 34797\n10042 44030\n34989 35993\n15605 41339\n9133 40436\n24163 38112\n11998 28885\n17441 35797\n19862 28928\n5890 36911\n10165 19974\n23674 24383\n26191 42630\n36781 47133\n25850 47038\n36868 47887\n21641 32244\n7003 20664\n1159 21968\n2032 6412\n33133 42787\n10031 35322\n34164 35607\n4912 34719\n2317 31260\n17288 32913\n6189 19501\n21687 25275\n20390 43505\n20482 30576\n31715 39541\n16141 33442\n29006 30233\n18617 34987\n29896 41001\n11179 19189\n995 21730\n30653 30677\n32574 35799\n46986 47232\n29955 41594\n7098 25090\n5774 45795\n34673 41805\n15945 45988\n42088 46544\n2222 5846\n31118 36044\n893 6236\n4404 8760\n27698 30327\n2377 44477\n12961 44710\n5176 22949\n26848 45113\n17832 45506\n7382 10023\n12851 44391\n42651 43180\n13720 30948\n20722 37726\n2786 48431\n20418 41850\n32070 34621\n35134 43437\n9322 17048\n24952 32655\n11469 33475\n553 26352\n33836 42136\n7134 46299\n14746 27469\n10094 30099\n16496 28944\n22859 38491\n2860 41380\n21171 44321\n2810 40149\n7079 20190\n4551 25027\n374 14829\n8349 17230\n8243 11300\n15781 15994\n131 23549\n43746 47766\n31198 48594\n18382 37378\n20897 22906\n1519 17045\n16090 30702\n22299 32764\n8129 41578\n19 29414\n7455 15481\n14222 29644\n20374 32013\n33653 40808\n24790 47455\n20504 38464\n25178 47536\n13690 31330\n17874 21110\n15558 21360\n11236 24348\n30630 32605\n18228 43102\n38519 42770\n9025 24898\n11944 19827\n17738 42325\n3250 33863\n1106 47528\n34118 36189\n1853 31205\n28521 42981\n33396 38455\n24490 32909\n145 5176\n7801 27086\n9474 19295\n15603 47989\n699 3026\n35403 36361\n16694 30947\n3873 6314\n16181 40611\n621 3507\n18839 41965\n11765 44650\n22482 48612\n23652 29492\n3631 24084\n28028 44099\n3474 39442\n36043 46583\n17336 42734\n38411 48505\n4774 13334\n3151 37439\n34753 43566\n27980 35456\n3875 18066\n26818 42834\n38001 47462\n20433 44536\n32363 46567\n17898 23381\n9706 29011\n6610 34851\n10731 42163\n18059 18490\n3408 17109\n10273 31080\n15527 45558\n3905 6678\n21901 23646\n20126 21369\n5555 31810\n15643 41877\n9162 15806\n16269 43196\n15011 15316\n4557 10626\n8799 45071\n25886 42845\n23745 32777\n15453 46495\n169 32711\n28054 30220\n43329 46149\n15150 30231\n23712 30228\n22108 32789\n29914 37761\n27961 32709\n6430 7917\n7814 23578\n6404 43547\n25628 37870\n2496 18076\n3563 28136\n1204 36745\n7001 19840\n17811 35050\n26155 34687\n35549 48417\n38106 47425\n6832 8217\n7569 30538\n5006 11041\n41160 41432\n15820 44483\n39252 40149\n16404 38716\n21525 46962\n30643 32135\n41036 45058\n35040 43402\n18092 38909\n14113 39337\n19971 29400\n29089 45088\n8023 23839\n8110 44389\n7518 14823\n19768 41682\n30465 35428\n19800 21317\n28784 42816\n2866 5964\n1244 6076\n19852 36500\n41847 42833\n29436 33566\n33125 36502\n46525 47555\n10624 13848\n44432 44802\n16948 18698\n13967 43336\n21547 27994\n14115 20406\n26880 44957\n18209 39894\n17223 43549\n35428 37080\n22493 26331\n28869 40328\n1525 10106\n24516 45783\n4986 21546\n15642 45681\n9552 16415\n18728 29314\n33791 42983\n26546 41858\n34286 40769\n18126 28763\n15498 34503\n23567 42998\n3034 16698\n5002 46339\n42972 44703\n10589 21667\n27659 32782\n18015 45429\n18730 29462\n2960 47918\n6726 45996\n7610 48454\n6372 25711\n22255 27325\n2637 41273\n11274 26210\n40602 46274\n448 12361\n708 40017\n14678 47826\n4137 13113\n20740 38737\n789 31905\n17466 24145\n6677 24033\n39945 46539\n1987 30852\n17665 45197\n9943 10808\n10980 27034\n22905 47250\n19403 45216\n23263 44888\n25856 36723\n43932 46911\n8092 23823\n10375 43085\n10015 47177\n6064 8805\n19290 30782\n6242 33622\n20427 41849\n22560 28974\n9709 35420\n29195 29352\n15822 21652\n3475 24836\n26457 36278\n1274 7199\n15691 17265\n23364 39412\n11708 37925\n2283 37807\n9170 33137\n17726 46556\n11900 39899\n3945 39200\n6864 16638\n112 40015\n6054 34033\n18863 46073\n17144 46628\n7467 44138\n32332 45649\n26470 41326\n6733 42686\n27646 41221\n35230 48033\n17403 42192\n7504 48133\n13204 22421\n25077 36985\n27574 45897\n32385 40990\n29535 43795\n18603 44337\n14682 43297\n44866 47181\n19350 46570\n6992 24455\n21542 26707\n41604 42325\n38397 45940\n11051 42737\n36397 45602\n11796 34461\n23170 29458\n7682 19613\n13971 38846\n29130 32244\n10161 17346\n6161 20639\n16675 47292\n5098 5341\n3369 27479\n10835 37088\n14914 26516\n6304 10559\n42911 43679\n286 2891\n4749 34511\n18372 34975\n4338 12457\n4458 15450\n27792 48254\n24973 34858\n9873 31737\n5798 33292\n3945 17016\n23719 31638\n21946 24695\n14852 29118\n9223 34132\n30066 31344\n8391 42783\n17720 20928\n15404 16000\n2917 24886\n18767 30396\n11409 22793\n18911 44548\n18387 38681\n39064 48000\n44088 44205\n23955 47815\n4094 23765\n31696 43317\n30565 35842\n25836 46059\n12754 29485\n25189 31170\n15067 48060\n3783 5951\n27475 42817\n12970 26300\n5891 42442\n2999 46914\n37872 44604\n26405 34799\n11532 18639\n16461 18872\n8352 10195\n14454 41953\n11501 46616\n4382 13856\n21264 29491\n5092 28567\n6959 24617\n28666 48070\n8067 18161\n6120 25298\n3571 5558\n4057 31742\n17433 44171\n37566 46194\n19874 23894\n5913 9888\n18161 33415\n6862 12721\n8130 24780\n11024 19346\n932 24160\n1626 48362\n23921 42380\n21605 23375\n3122 38690\n9531 22278\n22535 44251\n10409 37937\n25498 26923\n1120 10447\n1771 35966\n4089 41572\n12198 16696\n33709 44626\n24784 27729\n4276 5777\n29655 43353\n33565 36181\n12258 29638\n15316 41354\n14966 20088\n27258 36971\n1481 48076\n34988 35264\n10505 15768\n3074 13233\n25384 39427\n4510 31945\n24898 28209\n13575 26247\n5542 10207\n10292 37065\n20414 26537\n9406 22670\n14960 45868\n39810 43181\n12618 26112\n27483 33416\n22053 25363\n12230 45595\n4725 46952\n15821 27806\n6961 22795\n19899 31365\n18085 39716\n17132 44926\n14756 31716\n21530 45907\n24046 47276\n5883 12596\n16486 39797\n32 30664\n36378 44754\n23624 45859\n2253 33388\n18677 21174\n18316 20217\n8458 38209\n1764 15583\n15130 37482\n16287 26700\n17636 28237\n8901 11093\n2104 44813\n39458 42233\n22010 41964\n14270 40268\n17435 27370\n12899 19664\n42162 43498\n16369 38645\n23078 26422\n22799 40474\n11925 28831\n4326 42635\n1841 28255\n36085 45198\n5312 36599\n15433 35316\n5594 28170\n3564 46970\n13236 23712\n20966 27644\n14022 18044\n5272 5952\n12874 22321\n887 29146\n42602 45635\n6357 45411\n14955 37116\n2539 44930\n688 6472\n8084 33236\n10982 47252\n1764 33771\n34529 46964\n7378 18100\n11129 43086\n32266 46826\n33699 35676\n11083 40663\n13383 42549\n16943 46201\n25332 40948\n18741 35257\n17182 35626\n4432 20677\n29039 45285\n27615 31647\n36186 36647\n26400 46073\n5279 6924\n12471 22901\n7809 35785\n7501 29095\n12071 25893\n17889 19061\n16495 47776\n30594 38763\n17671 47386\n17664 28583\n14641 37983\n3842 47084\n2190 20270\n5805 29690\n6071 10367\n19350 37435\n4439 12490\n2838 29417\n8608 25486\n13518 33187\n13642 47292\n4942 22590\n39665 42642\n15181 21795\n39937 44703\n22364 36602\n210 29300\n21491 45661\n31475 33898\n21363 45006\n22194 23227\n16484 29378\n45576 47647\n32090 37939\n28270 32888\n23978 37379\n12396 20814\n33569 45011\n5650 41302\n31774 48051\n4197 6255\n10423 32062\n15499 20863\n6528 42843\n14330 23872\n2476 21366\n2922 40888\n7916 39948\n11752 42486\n44308 46604\n14145 40875\n3679 3720\n13940 31514\n28277 42023\n19188 34206\n3440 30462\n9880 21528\n21743 44314\n35494 36386\n32294 38164\n29441 40179\n269 13066\n12017 33063\n31341 39468\n16181 41218\n43215 48565\n4978 30661\n1403 25874\n21577 35785\n42151 48134\n6704 8471\n22812 26762\n13013 25044\n4876 20385\n5082 8836\n4164 45598\n1700 26006\n11657 23430\n34233 46837\n6354 27606\n11665 34584\n36936 38587\n2777 14294\n16133 24020\n4176 11789\n30167 32933\n21509 27478\n4012 20419\n24582 46291\n18182 31986\n18928 28552\n24302 34370\n3369 46279\n38469 39856\n24682 32875\n16987 19676\n5561 43621\n34153 46845\n16445 30588\n6713 33017\n12285 25887\n21090 39341\n45641 47039\n29138 42275\n88 37341\n33571 42039\n478 4207\n1215 18184\n30330 37808\n9164 42146\n8355 45663\n10190 27618\n44922 46928\n23639 43984\n1220 28878\n723 2404\n2093 20101\n43193 47365\n21297 40697\n16634 39159\n15804 16541\n3302 16155\n3678 17652\n9107 18740\n25639 45614\n5664 10360\n12636 26196\n27521 34121\n10782 17254\n9219 34320\n24545 26481\n13888 31382\n22771 38220\n19542 21576\n10579 18530\n15117 25318\n7968 18782\n2005 24017\n27228 45787\n26355 41538\n35171 40339\n11655 29012\n1630 14049\n13862 21484\n7234 30047\n7002 43240\n2816 4968\n28708 40944\n28361 43274\n43441 43644\n22493 32210\n40960 48119\n16547 33154\n2944 32744\n40968 41667\n1855 44551\n11416 16916\n26702 39512\n4285 35615\n8126 11723\n14793 43304\n24796 36760\n1824 29162\n16639 34995\n7272 33708\n16495 22357\n32601 40232\n5380 18975\n9922 34610\n17073 18862\n3341 47597\n26826 30009\n6194 47575\n10355 21028\n17441 20750\n1131 10999\n17196 34163\n16140 43364\n22267 35249\n4943 8886\n9386 24585\n10818 31227\n39660 48245\n16115 20275\n28746 43121\n22128 31086\n44063 48106\n4577 23479\n11459 11842\n43256 44346\n22296 35219\n42208 44485\n3004 19479\n33397 45640\n1435 28175\n22872 35882\n13528 39043\n19435 33805\n3571 29895\n2459 15876\n13458 27562\n395 27274\n1278 44857\n2625 47664\n21794 47431\n12877 20976\n24248 33928\n9761 46367\n27698 38321\n14676 43851\n4938 35777\n9002 40732\n11634 31333\n38525 47449\n4071 23506\n25373 44565\n10798 40219\n6593 22086\n1543 22484\n34913 42954\n20150 23480\n4511 31972\n41633 46959\n4292 39534\n4335 10089\n41229 41231\n10249 31239\n16778 40572\n34090 37219\n18671 38762\n5867 16922\n12532 33715\n11805 25072\n9454 25380\n6215 25973\n11730 35892\n16928 24170\n27280 38721\n5312 43118\n3455 47696\n3434 15895\n35303 46579\n37100 43974\n35601 40124\n2889 42482\n7765 36414\n28615 37721\n4271 20299\n5278 25013\n5579 23590\n36088 43382\n46173 47898\n3857 33640\n7544 47703\n19467 34424\n7083 11457\n1410 36825\n6489 11512\n11140 38725\n12166 20699\n1670 30218\n44165 47129\n32477 48360\n10902 19015\n6390 20943\n21022 35803\n4816 41657\n7596 8072\n31351 42833\n31974 48567\n96 45547\n2196 31503\n16256 21018\n18864 35665\n7953 16766\n24420 37221\n14272 44246\n28945 32021\n44320 47993\n31127 38542\n5837 10467\n7490 18163\n3082 24682\n5585 39721\n8072 48089\n26057 27582\n11295 19449\n37747 40895\n458 36865\n4222 48145\n1077 20135\n10735 32417\n33288 39157\n27824 38467\n17868 20608\n23946 41681\n23509 48032\n10378 14913\n8161 16735\n18108 42845\n35003 39080\n32412 34899\n1433 36740\n17801 45975\n27175 46464\n4606 30540\n8813 18124\n41644 44437\n16485 28545\n10946 38929\n18201 31681\n9480 43658\n6195 40969\n23827 40483\n6076 44689\n1951 25968\n21878 38908\n24616 27723\n42701 45946\n2289 42968\n20708 36393\n4398 5230\n12102 16249\n4847 22265\n44402 48069\n399 44582\n30954 41213\n4066 19932\n13490 37054\n21597 29588\n39965 43894\n2267 38611\n21867 33398\n14537 40272\n5918 34670\n24967 30853\n41658 47820\n12092 19343\n8483 32001\n34226 37017\n3762 28842\n1835 40501\n7695 41808\n28847 41718\n20543 37510\n15367 43652\n6362 37018\n5918 42304\n9775 45577\n27426 30845\n16938 26801\n23717 44185\n37983 46545\n23336 45954\n12864 35878\n11156 13778\n13780 19121\n9473 35193\n19486 23926\n32933 34241\n6922 33702\n23628 43093\n2620 10095\n15628 28251\n14056 21216\n1431 4415\n5290 37235\n56 22977\n17074 27354\n2433 11114\n12481 38081\n23886 44226\n15108 26875\n3927 47074\n36069 47086\n13108 17145\n3836 44710\n34041 37241\n5369 45370\n12429 14843\n17846 43630\n29671 42652\n30050 44907\n8049 34740\n34740 37609\n33472 47656\n17243 29963\n19156 33725\n29154 35794\n2564 17067\n2302 47912\n27714 37666\n42227 42878\n12110 20358\n23149 26066\n12757 41703\n3609 6312\n21651 40579\n17044 33920\n29290 43899\n17589 31831\n42350 42912\n5003 34980\n28635 32401\n18971 18979\n11599 33563\n11754 36271\n6444 11036\n15285 48117\n650 32532\n17177 19863\n9189 48326\n6929 43639\n40328 40425\n899 45410\n15946 43541\n10891 12273\n15959 42750\n4870 35817\n5025 5550\n9078 17441\n6929 34495\n7183 19542\n1388 31985\n25408 42891\n30082 48390\n13289 16542\n617 26624\n8171 36982\n2585 43721\n32149 41650\n20753 25882\n23336 42564\n1618 19449\n13274 47026\n11130 26818\n16585 30726\n14260 27769\n41630 45539\n693 47309\n31921 36428\n32354 41449\n18942 19692\n30960 31419\n15471 16050\n17175 25866\n22579 27944\n16550 31488\n10941 23799\n9453 32203\n3630 41110\n30395 34388\n29974 38317\n42859 48032\n4619 40130\n19111 46872\n8672 22173\n24538 40382\n29654 33068\n3645 35873\n5429 27735\n23396 28882\n8056 23145\n20566 48139\n16148 37172\n23052 28073\n15153 27164\n655 10599\n5026 34476\n15108 25902\n27475 47961\n12811 45883\n12013 48578\n32254 38963\n24747 38244\n40731 47766\n4538 8860\n8966 39343\n28195 44449\n40629 40933\n32263 39444\n40367 44751\n8050 37165\n5964 36878\n37647 46393\n1086 39617\n46388 47500\n9973 45210\n3211 48524\n22826 25660\n14906 15541\n4173 15436\n1787 47513\n7704 38719\n2292 12921\n27056 42608\n11813 38514\n2731 27224\n8998 19882\n1174 48337\n24888 45703\n2545 7395\n19784 35332\n3508 11791\n14273 25110\n20833 42301\n3119 25258\n29457 33647\n8258 22030\n5728 23463\n20748 23924\n3630 29738\n37670 46853\n4349 16004\n40050 47494\n1584 8923\n40786 43008\n13538 34792\n14646 32741\n21533 38781\n3914 40284\n9907 40844\n17861 25329\n2584 30487\n24955 32425\n32530 38657\n6078 46663\n1687 14770\n6461 29738\n907 27456\n15757 42955\n11616 42707\n22532 24656\n10041 25161\n43093 44547\n29547 38021\n17177 29452\n11870 19685\n32941 37476\n13886 21285\n15898 30276\n13004 43583\n5782 20873\n31435 35244\n42980 45404\n16920 18774\n2849 3825\n29022 30013\n37436 39767\n26456 28919\n23809 25635\n22791 47598\n21934 32236\n6273 18516\n18675 30088\n16886 19102\n4205 20205\n15340 37952\n6697 14505\n8916 22156\n21550 26636\n6771 33103\n1856 42506\n26889 30766\n3907 15353\n14577 28657\n7006 14069\n21375 32178\n27493 44262\n36190 45961\n36969 40068\n9219 37140\n34973 37596\n37611 38226\n37028 42967\n19663 20173\n6427 30969\n19530 24934\n6150 20835\n15997 46318\n4527 14764\n4117 42316\n1332 16519\n2328 3955\n27726 38062\n34059 34520\n4156 34983\n5985 36129\n14908 23551\n25213 33366\n7980 30996\n15310 34385\n15628 20420\n7253 19998\n21231 40681\n13643 44061\n658 28277\n45638 47810\n1112 42861\n26739 30050\n11413 17797\n8052 38142\n1774 46648\n31398 37202\n28485 41624\n15290 38838\n8804 19239\n25225 30781\n15567 35984\n6769 29734\n829 23546\n1124 19709\n7334 25368\n15258 43101\n20609 33283\n13541 40176\n38720 47243\n2962 14873\n1907 47391\n10485 45648\n1520 10939\n36272 45447\n35769 47928\n4459 12006\n14860 27662\n12002 45669\n17208 33190\n40845 43731\n8278 20084\n18565 21309\n10741 23972\n1398 32929\n12138 23871\n10133 15555\n14859 19346\n3362 23694\n18442 27858\n26197 37009\n13400 42580\n23387 44890\n23467 33363\n21679 46346\n9397 25490\n38847 48502\n3673 14047\n28120 39250\n29423 37600\n6732 31383\n1972 38452\n245 18024\n29422 38228\n16566 19913\n40087 43000\n6607 37990\n34354 37885\n9489 13348\n791 38297\n10140 16389\n24991 41379\n3419 10102\n10025 46213\n38995 42392\n17253 20952\n222 390\n21963 32467\n7583 30906\n17344 44066\n21407 39784\n7014 30205\n37814 47188\n13187 23038\n6360 30600\n25788 26874\n12551 31193\n2401 21964\n7784 18126\n18680 26471\n20010 21259\n7268 35063\n19154 31339\n5517 39756\n7346 42051\n21267 38651\n5867 44220\n15079 45172\n16046 31436\n15496 47750\n15255 20639\n22751 28158\n23042 42442\n12258 23505\n34605 39616\n31997 42171\n9472 18222\n3306 30139\n22314 33002\n5043 20564\n30337 41889\n26881 32469\n17453 34867\n12888 13968\n13954 30526\n4747 34073\n20372 39536\n22952 23551\n1418 39444\n39079 45747\n9395 40236\n20960 42833\n20306 39558\n15256 18756\n2285 32644\n17680 47924\n10251 20728\n26116 27925\n30878 41202\n40865 46092\n7692 38295\n27306 41828\n2235 13942\n2298 5639\n9375 43892\n15277 38839\n6073 34007\n16073 44026\n7243 35707\n21285 34638\n26305 39149\n5200 41021\n9916 47741\n2300 17862\n44400 48498\n14360 21535\n37730 45265\n5373 32741\n16818 41503\n12470 39083\n12383 48302\n29973 37604\n4409 7007\n9169 24850\n13600 35626\n11212 47184\n21493 41174\n8517 38723\n9485 24242\n32118 35854\n2173 40354\n15238 34987\n14464 45763\n30165 46813\n15804 25391\n10499 48372\n16597 48028\n431 31731\n13663 17770\n7989 24217\n18497 20670\n9069 37345\n8327 48302\n8802 42339\n23344 31420\n21624 24533\n18961 44927\n1360 25480\n26695 38823\n26130 28785\n435 14015\n3079 15183\n4409 39665\n20675 42452\n2876 26588\n38752 46396\n13550 27409\n30392 47828\n19060 26810\n13396 37776\n26760 43518\n330 35858\n8802 9258\n36528 37729\n19516 45826\n18422 44596\n28821 41492\n9778 23708\n12224 20441\n6904 15771\n5016 14593\n189 19144\n924 24979\n2652 36075\n30864 33156\n13617 48443\n7461 11395\n20326 43388\n903 25880\n10860 37193\n11566 16943\n5102 15011\n22150 35246\n19799 19860\n10792 25966\n28673 34502\n18014 20245\n33304 42701\n17251 29908\n33883 39112\n7697 38211\n35633 38606\n19758 29561\n7459 38654\n26789 35767\n16319 24370\n29145 47542\n16435 44644\n2477 39522\n14121 30769\n8416 39109\n5371 43266\n29717 44744\n33612 37214\n28704 32621\n35653 48447\n1349 1432\n6966 26087\n6083 45961\n8577 12764\n3446 12198\n22116 30389\n7847 29565\n4611 26073\n31873 35950\n6324 48344\n28863 28947\n18166 31556\n22279 43733\n6494 45311\n5671 27863\n13968 36779\n36775 48386\n19769 32697\n19278 33788\n3805 32968\n28281 40406\n35097 44724\n22456 31178\n33094 41201\n12441 21103\n13820 28851\n19395 22107\n8331 39022\n30858 42953\n26667 34724\n18119 20190\n21914 41545\n6364 16587\n35379 42391\n21744 36327\n11423 44241\n11961 46560\n28809 45187\n22328 22608\n32519 37931\n8900 20176\n7374 39148\n30494 37446\n38302 47150\n19452 32459\n33501 46801\n21443 38864\n27082 34727\n35531 42318\n8085 26517\n3026 38738\n20580 31355\n24655 27738\n3531 46998\n8269 24045\n1767 46822\n26424 26746\n992 28334\n21050 21271\n23831 42020\n40004 41627\n26953 40558\n11246 22410\n17815 24022\n27795 48552\n33266 33677\n4734 45188\n1783 34134\n12068 31015\n18906 28056\n20819 30827\n13750 28683\n2962 36361\n9461 41060\n18112 18579\n7250 12332\n11689 30163\n20210 26666\n28806 44320\n17421 46922\n19309 39566\n30240 45509\n6553 38594\n2215 14005\n16609 39899\n2500 43822\n12668 34361\n10254 18486\n11899 39151\n3128 27815\n8349 18805\n10869 29785\n23902 33383\n33230 43467\n2609 44922\n19683 27434\n2477 39241\n6592 31964\n24769 43433\n22939 39920\n12341 19927\n27502 43180\n36089 39224\n32897 34675\n18831 33147\n28329 29849\n4144 45720\n3520 48580\n11008 16254\n1553 6425\n1048 15538\n6953 38031\n17446 46652\n4144 47474\n20382 23265\n477 47312\n14096 14950\n12435 42819\n28471 35337\n23064 46227\n36154 41878\n226 41913\n28066 44085\n24587 42745\n3883 43393\n2016 38437\n15414 21508\n13609 26037\n9682 48301\n8166 20478\n22579 30981\n4208 40194\n12549 29519\n5338 19788\n28840 48317\n24519 33460\n14338 15337\n14963 24405\n12669 28065\n1898 29663\n3586 34817\n16440 29381\n15437 28244\n6381 43812\n14183 17580\n19795 36787\n397 8985\n2911 17047\n3122 48171\n4142 46176\n32923 34197\n800 14021\n37825 38681\n2749 46041\n12744 16046\n13797 44646\n27698 29892\n19350 33019\n17077 29217\n9548 32753\n13950 29340\n11960 16428\n1721 47630\n1039 7679\n26955 29976\n26397 37440\n38681 46790\n29759 39603\n3903 35912\n9136 36174\n27676 30648\n34530 43044\n24083 34240\n23592 37072\n18902 39345\n25975 37617\n29012 43673\n8469 22861\n39489 40504\n16344 37796\n42056 46299\n6166 25504\n2003 24235\n20980 43036\n6217 28242\n20989 44509\n11212 45404\n9837 39017\n16634 42850\n32625 45570\n18907 20247\n2809 45488\n3673 45939\n14835 41463\n36710 47262\n24838 47133\n28423 44051\n17719 25130\n12103 25007\n15472 40589\n31071 37764\n11258 15777\n20160 44232\n34600 41386\n1232 13645\n19910 39651\n17646 21537\n23131 25934\n36916 44293\n10909 12515\n20824 32096\n454 26520\n23564 33047\n14928 23531\n38159 38365\n35025 36241\n5332 33965\n1576 41073\n7388 46279\n2031 13507\n2859 24684\n20080 46807\n18351 31700\n7826 26519\n1759 45208\n5009 31580\n37950 48138\n5310 5775\n16908 17862\n23225 48403\n16315 17028\n8433 45224\n25196 38231\n26761 29742\n30674 32181\n10485 27443\n28094 40738\n3624 33675\n7463 11731\n10340 47799\n26136 29865\n3600 5785\n2813 13454\n37217 42227\n21800 22384\n22583 36072\n10579 41876\n15409 35821\n25720 46849\n44271 45730\n9747 44186\n13738 27098\n85 3982\n30443 33833\n11847 44830\n30866 35844\n14121 24510\n26060 42699\n8319 35156\n14653 32318\n11550 46338\n11980 16451\n5894 6330\n12185 42638\n4751 27838\n1088 5834\n19214 44228\n29246 30766\n4536 35353\n454 22826\n20623 35098\n19994 25042\n7780 13477\n1412 19222\n23125 39180\n40790 47601\n1722 30186\n11383 31504\n28381 29908\n8911 43268\n3124 4895\n25455 45141\n4006 44051\n15888 31615\n37322 45001\n30692 46189\n31582 36566\n16512 35913\n17466 28036\n12602 13091\n15103 39556\n34273 36219\n18985 37974\n1497 47096\n21477 24430\n23580 34796\n1040 46235\n14486 21510\n21125 44865\n2171 10851\n23809 39191\n9498 42275\n22095 40828\n9935 20724\n13627 30085\n21962 41683\n32939 46597\n41107 42686\n14503 32128\n35470 47211\n23687 40097\n17945 36865\n2801 39197\n7752 10461\n12000 27193\n25977 45649\n1549 21158\n5700 11440\n39490 44115\n2163 41505\n14732 20088\n5036 14424\n27692 41177\n7322 28241\n9448 9587\n4056 13792\n26798 37632\n11098 42556\n27396 37195\n8842 27609\n12003 22963\n8897 37288\n17168 18140\n7602 14099\n10168 20944\n2544 4329\n40308 43466\n8020 24295\n9366 22874\n15667 37508\n13757 48028\n10096 10504\n13325 34790\n9221 37866\n17147 29811\n30667 40297\n38382 47543\n22999 23092\n38289 45798\n3582 32193\n15078 27245\n21374 41249\n11679 25993\n11938 33269\n9864 33536\n1420 44560\n11223 37255\n33012 47680\n2742 48568\n7131 14239\n743 34685\n29432 48149\n3927 7986\n32754 42382\n8504 15618\n21938 43721\n11181 34092\n21369 33399\n4139 29117\n34468 45865\n41291 43076\n15845 32046\n18217 37955\n5610 20843\n2978 11372\n21982 46594\n674 25394\n13581 43390\n19459 25818\n20836 37229\n20155 30046\n6782 27721\n43087 47397\n5629 20985\n18736 23618\n14245 29539\n21182 45303\n4740 46001\n21284 30947\n4167 10533\n20718 42513\n14180 34571\n18443 28943\n11811 34974\n25217 43782\n6869 8215\n8667 22507\n19798 43587\n10228 28479\n4817 6811\n14807 46106\n26995 46637\n34290 46610\n12489 35894\n1884 6966\n4379 35166\n3050 33836\n650 41344\n2590 29335\n10454 24998\n2093 46317\n23210 44165\n5533 16620\n9974 31137\n7758 23284\n19084 19283\n17442 45658\n9991 14417\n1133 8202\n4697 48322\n22429 44925\n7313 42000\n32067 41303\n25372 40366\n26394 27334\n37536 42011\n20459 46444\n18782 31954\n18996 43938\n38673 42383\n17932 47895\n2946 39218\n34242 43329\n14101 27099\n9348 37474\n11656 41512\n6093 21515\n14407 34553\n6083 38229\n7397 44525\n6433 9689\n5151 27131\n13404 22860\n75 33047\n5770 30397\n25493 36311\n1470 33608\n13023 25764\n9650 10573\n6564 35375\n547 14365\n21102 38379\n11632 28351\n12513 35189\n2233 18222\n14508 47217\n25444 31734\n32616 43411\n19520 45206\n6704 48678\n47776 48312\n6191 10521\n6944 29050\n18795 22186\n1754 17842\n15483 37846\n2359 21310\n5778 47072\n3868 4975\n1984 44898\n18179 25286\n3467 27246\n11771 45174\n34036 45618\n22512 24679\n27175 33088\n11394 16776\n20140 35958\n21120 27635\n16954 47671\n16089 45288\n22012 23221\n1526 7186\n24293 30212\n11765 23217\n12302 40257\n16740 20632\n17936 41788\n2967 35305\n32300 40851\n5566 8075\n14611 25852\n24786 28261\n19260 36011\n30478 43639\n19311 43904\n4594 41716\n7217 26825\n24106 36007\n250 32707\n21089 33266\n7613 33273\n21653 35106\n21267 34967\n8887 44813\n2654 31387\n6472 31166\n25191 40245\n24382 37107\n18691 43674\n11079 13739\n4471 20017\n142 33671\n15514 29762\n37673 42624\n17720 37632\n28861 29313\n12096 36237\n2368 37635\n3461 45115\n18379 32197\n13673 21000\n5412 12807\n2816 30486\n32831 46795\n3552 9375\n35253 45034\n5008 39944\n155 31733\n25205 44324\n15753 21500\n1081 36980\n41130 47921\n8683 19316\n13508 16169\n45921 47065\n1095 21965\n11771 19009\n23841 33030\n15616 34941\n2638 9665\n6611 12711\n19149 42969\n12747 17313\n22649 37138\n4183 40581\n19101 47856\n23507 26419\n12447 31090\n23785 45496\n5828 46384\n3194 4243\n8184 34293\n4231 31058\n3233 26449\n6874 44505\n41466 47534\n25827 38649\n13730 25196\n42606 42866\n13153 23137\n2893 25251\n7209 30021\n21713 40913\n6004 44697\n10728 25813\n2190 39007\n5519 48461\n6776 43653\n5239 6275\n23687 37155\n14658 39638\n2720 19621\n7150 8505\n16936 42932\n7022 15292\n6493 8988\n20261 46352\n29055 41326\n35531 42806\n5260 34573\n16289 36855\n5415 9466\n14597 48579\n18957 36550\n30977 34658\n31046 45562\n609 35872\n4560 18857\n3482 17221\n8059 16195\n24050 40751\n9984 15723\n7814 34089\n16319 24459\n16206 19121\n30249 42852\n13416 26983\n2491 22698\n31696 43027\n3386 38384\n28918 47399\n31421 36716\n3916 19749\n15451 36431\n13032 23827\n3222 3547\n15298 21823\n39556 41707\n18452 42015\n2371 20347\n29635 48288\n22819 27755\n15655 31195\n6242 45730\n936 16425\n6935 17559\n10785 26145\n13516 21591\n21325 42629\n5797 36180\n17428 19727\n36323 47334\n7204 43931\n1374 33423\n10389 21895\n2271 36800\n9798 36196\n22824 27343\n20417 41754\n1627 34984\n20752 23326\n30385 44498\n12948 20198\n6557 11430\n9056 22089\n13939 18639\n15867 21441\n11620 30178\n2515 46696\n36978 42423\n6025 35652\n10903 31771\n16811 23429\n6325 22252\n10049 47395\n37841 45994\n10435 35430\n9599 33977\n32987 37520\n9017 18849\n28571 36027\n27564 28960\n16984 20311\n19852 39818\n22018 33751\n36245 48267\n38565 47453\n33524 37501\n11928 35386\n4731 39337\n28582 30132\n716 18776\n13648 47835\n2306 7389\n29767 41222\n11199 13494\n20476 46409\n7292 18634\n3726 47616\n14248 39213\n7313 46324\n6579 13736\n17387 28270\n1814 26169\n21452 29432\n121 38825\n20579 24685\n12322 43542\n9756 11497\n2948 9595\n24226 29382\n10368 14228\n28463 40255\n7935 15177\n7901 43456\n189 13120\n23277 38014\n4081 39843\n6453 19775\n3475 22292\n5292 38314\n14908 15910\n1696 35324\n4270 28086\n1088 20730\n7419 11654\n12502 19873\n43933 45273\n549 20789\n2121 35265\n28143 38040\n2091 46735\n40949 45658\n2619 38442\n28407 35821\n5451 26397\n14424 19355\n15623 18181\n2731 11388\n6079 29434\n4952 21646\n3730 43345\n3826 24001\n6966 46931\n23221 42797\n4018 28157\n6244 28128\n15686 29602\n44891 47341\n23218 44672\n21760 25430\n5664 15066\n42353 44560\n11893 19604\n12068 15536\n39280 41932\n284 11687\n26750 42621\n19672 35401\n26959 31169\n12106 24197\n15784 21337\n6785 22277\n3488 27456\n6215 32454\n4422 40028\n14703 46817\n27194 45961\n2940 7439\n21699 45614\n23749 40020\n8290 21387\n7108 37573\n251 39009\n5314 42495\n7298 22103\n20065 46679\n14321 40404\n7984 33975\n5073 33281\n32857 43059\n30370 42946\n2934 48076\n1863 16767\n7576 23402\n19025 40954\n15227 38295\n19507 22646\n23494 35986\n15411 19341\n24607 35810\n28255 45040\n19995 34043\n17201 28942\n1306 30911\n9184 35203\n13885 35839\n14134 21107\n3342 14415\n9911 36173\n156 28508\n3043 41792\n35002 40391\n29259 31524\n3282 3497\n9328 47616\n4710 5083\n10864 12420\n36836 39777\n38757 41299\n18944 38975\n12277 43843\n12666 41608\n31416 48175\n604 11289\n17355 31212\n13374 34560\n5995 30685\n8126 14631\n13069 23425\n8355 44346\n7188 32827\n9554 48462\n25271 41283\n16298 44717\n5887 16323\n8917 31717\n12062 26009\n24797 46491\n9586 23830\n1095 26814\n24211 39569\n10062 17999\n12194 25299\n20378 46581\n22657 39481\n21764 37327\n140 12647\n8530 25749\n13113 25240\n23295 42995\n14395 21523\n19706 19889\n22116 32344\n33936 35453\n11024 44486\n37059 45585\n38552 41598\n6933 28195\n16400 47156\n7220 30932\n6164 14202\n11343 32351\n29713 46453\n43893 48537\n31564 45599\n22616 44243\n2559 3436\n35685 37901\n3464 16964\n44225 44538\n18343 40891\n17253 38635\n9657 29626\n9165 23160\n18706 33294\n16389 37087\n6389 25329\n11562 27902\n19821 25808\n11725 32576\n1128 23381\n36180 45607\n5497 33308\n24783 31177\n10687 19923\n14315 15183\n20668 21346\n25192 38596\n31080 42968\n2463 36896\n23272 45178\n6405 36393\n26761 33551\n1907 36335\n10204 11198\n33414 38140\n1037 21137\n9120 22873\n18914 45558\n21843 32792\n5476 18761\n843 22714\n6956 40288\n9148 20262\n677 11819\n11157 27010\n4962 11681\n9326 13107\n17204 21435\n34217 48201\n3478 27701\n18906 24675\n11011 32331\n10651 10850\n11227 31285\n37508 44924\n16451 18875\n9360 44161\n12087 27549\n10876 40166\n7903 43660\n2355 2463\n4012 13009\n17370 42669\n4706 27995\n7771 14830\n3780 30699\n7736 7746\n12124 37574\n38127 43618\n27860 38140\n7396 31078\n23245 47446\n35240 35507\n6853 39775\n39730 46017\n3916 12587\n20761 27772\n10488 25487\n1015 7632\n6541 35059\n2090 32772\n10832 21598\n4236 38870\n18747 19856\n38122 45344\n1969 38082\n7828 31102\n15899 31415\n7555 22622\n12790 29148\n3767 16316\n11120 37029\n17099 28081\n6771 16434\n19615 28280\n13151 20472\n37124 39185\n3507 43777\n34169 41660\n41 17707\n34554 47388\n155 26731\n2209 38172\n15708 33543\n24850 37021\n14816 19463\n7141 25242\n26640 36610\n17704 31135\n12085 44866\n21917 27007\n17205 28296\n24392 42075\n31296 35737\n38071 48126\n5328 12772\n9006 12833\n1326 32587\n14253 19365\n39171 41132\n9032 17827\n1036 43273\n37374 38683\n14589 47262\n43214 46878\n15765 25917\n14712 44378\n5544 19791\n17237 32426\n44532 47597\n23257 36066\n33880 45115\n341 44479\n18674 41157\n728 33897\n7538 14123\n19072 29577\n28323 46821\n12537 48455\n1465 19995\n39352 48651\n6222 7118\n42803 47493\n32494 42130\n21915 41717\n10075 16945\n16137 34464\n22909 35955\n4598 13303\n10311 37937\n11827 15544\n27275 29516\n7100 40289\n15589 24975\n6555 9236\n7011 24805\n4510 33725\n4480 14000\n41655 43363\n25200 37924\n14485 35896\n19777 25410\n34064 34352\n3719 26740\n491 47404\n14037 33906\n3498 4679\n1241 34060\n13762 25600\n1512 40095\n16696 35667\n13038 48348\n40351 41712\n18577 26546\n19897 33287\n21246 33818\n22124 22271\n7961 18360\n21357 36738\n8329 22207\n2817 45123\n6285 23679\n35173 41318\n11663 26390\n6337 15299\n23051 35790\n8895 20890\n515 47623\n7405 32508\n17393 19345\n329 6399\n53 16144\n36247 44800\n20699 48093\n19261 36038\n5993 27461\n13592 34227\n34067 41774\n9282 34331\n8418 24874\n23094 27959\n33568 39021\n21071 41116\n12591 42902\n4761 29792\n15053 36295\n1618 11667\n18368 27892\n9565 46460\n3271 10869\n44790 47115\n22283 37288\n21089 31073\n8184 15922\n24700 28947\n13736 25635\n40686 41333\n29186 44171\n1341 9003\n23267 42539\n4320 13147\n11612 37383\n19540 47807\n40829 44626\n14455 14929\n39623 39833\n37263 47112\n8177 41943\n10226 41932\n12787 35617\n10087 39726\n38010 44213\n20729 43990\n34931 40569\n13008 18425\n7833 36207\n1984 26604\n7774 37297\n18148 41613\n16866 45328\n16669 38601\n28583 40896\n2075 26390\n14017 28864\n20862 40176\n23900 46922\n21217 48492\n15773 23214\n17400 40704\n6425 19333\n16764 42254\n9853 11283\n16996 22233\n15876 24982\n6393 37686\n39169 42062\n8597 28352\n24378 48480\n14430 35090\n5394 22962\n32164 32525\n24452 25125\n15227 18661\n28855 37578\n34431 43313\n8037 15352\n37809 44846\n9511 43812\n2801 13924\n12193 46712\n2785 26920\n16441 29962\n11727 30198\n39170 47516\n38187 43110\n30124 33862\n1676 47839\n20294 24120\n25877 29355\n37753 44764\n3365 24050\n13050 46279\n7717 9894\n11222 11793\n280 14077\n619 20520\n11050 43506\n4530 25448\n952 18137\n301 31663\n867 47144\n10121 20238\n26707 35843\n12775 31224\n674 3312\n26833 36574\n11514 17209\n16747 25184\n6998 28831\n15885 44385\n6398 26745\n34158 36640\n1349 35050\n8280 18558\n21204 21735\n14852 16278\n37778 42926\n485 810\n25054 47349\n1329 43610\n10162 47332\n8215 45251\n30538 36013\n29082 38025\n21382 33671\n18757 34903\n5077 22820\n33453 45182\n22930 35293\n20269 38428\n45223 46348\n13752 36999\n13789 21462\n14025 41205\n17331 37886\n24923 37528\n26342 31529\n27735 39997\n19667 41561\n30699 45691\n28321 42890\n25540 30533\n8260 19939\n241 2259\n3299 11912\n12015 16654\n28329 35361\n26175 40772\n29735 33337\n47 281\n1689 35093\n5815 32274\n38661 41741\n597 15164\n18246 27687\n7471 8991\n23962 25592\n741 8069\n21602 31762\n3399 38606\n13822 14881\n19785 41668\n28818 44922\n6749 24583\n23747 33782\n40204 42892\n23385 45375\n8759 37522\n5944 47747\n40497 46576\n14822 14856\n31379 40532\n24804 35802\n28286 43347\n10686 30215\n25687 30083\n46018 46816\n8196 12054\n46423 46537\n13095 24145\n32100 43612\n10479 13313\n24263 40122\n4135 14186\n33687 42180\n14739 35253\n3451 5533\n6375 16741\n10590 34507\n8835 42994\n13882 26769\n17895 46927\n33316 46968\n430 13657\n13505 30315\n31765 47503\n4742 43753\n36726 44470\n565 19553\n15762 26405\n39874 40002\n16276 39915\n3809 17528\n36402 43592\n12250 25780\n19787 44731\n9593 25499\n42293 44883\n6221 47061\n19916 42452\n34999 44373\n9163 23315\n4630 34502\n5567 43275\n13382 31131\n3633 28735\n4781 22717\n20898 36981\n11668 20603\n4909 34744\n30002 46864\n11623 42308\n1742 17453\n34702 35507\n33448 35493\n9728 40357\n5318 30585\n38668 47303\n14666 26238\n659 7722\n5689 10528\n18230 34931\n10407 40573\n8720 25195\n12635 26241\n12508 18956\n15681 40779\n2003 33146\n22430 37693\n10856 32369\n34042 41818\n9862 19184\n6928 43941\n30021 46203\n25296 26956\n12092 43064\n28821 35591\n275 32193\n11647 28730\n10039 21021\n893 29214\n16230 42534\n19971 23641\n5771 16491\n10631 32146\n9048 37058\n2162 46890\n7514 23586\n12557 25579\n13252 17228\n4803 28860\n22711 23429\n5 10812\n1045 39605\n12045 21389\n19867 37657\n39357 40260\n39477 43366\n7022 28796\n25875 29039\n41314 43823\n38047 39911\n12611 33999\n36636 47023\n38445 47810\n5238 15895\n17213 27106\n13208 43062\n6181 26724\n15016 25386\n20838 38656\n954 29184\n8631 40066\n9596 11766\n2488 38599\n13450 41236\n4322 18705\n3273 24000\n8481 11862\n3610 24174\n8686 42650\n33303 43935\n7423 20393\n27575 30579\n5058 6472\n39904 42141\n2000 28270\n22090 47364\n18103 27715\n13059 18614\n10538 26071\n2759 9658\n10857 20379\n16821 47424\n14412 40008\n23766 26874\n18147 39438\n421 28890\n5241 27099\n29418 37326\n6526 46708\n9424 22091\n174 37981\n23810 29792\n5520 34454\n11321 17656\n9237 11872\n861 5319\n11801 30362\n5428 17032\n14331 36053\n20853 29733\n19556 32172\n25817 35251\n12928 23305\n25164 36625\n20216 23223\n23806 27517\n24006 39209\n4750 23964\n13709 34618\n22136 43780\n29215 43712\n16911 46824\n22263 43053\n12247 39272\n2912 45919\n19971 32844\n24872 37074\n48164 48578\n25581 46279\n95 15058\n1520 9683\n3004 16404\n34834 43937\n34035 36911\n38114 42623\n14306 48258\n29834 38011\n26196 29319\n6468 8287\n16923 45284\n387 27287\n12813 21798\n15175 16264\n19531 39003\n9263 47275\n30183 32138\n18997 21689\n467 38192\n36204 47360\n40039 40507\n12360 47815\n4445 20975\n17162 27917\n5628 39979\n19222 45766\n33321 38293\n2082 34429\n3394 17256\n9053 15769\n4933 5332\n19830 40505\n24148 33446\n9834 46260\n25751 44785\n20460 43895\n2217 47874\n9111 15596\n42978 44177\n11781 31958\n10941 17758\n3303 29990\n17508 37596\n25008 30975\n4930 17969\n8519 34453\n26110 34033\n6496 11191\n20314 38442\n3436 32240\n551 26185\n5790 43485\n4309 36045\n196 31929\n16882 28381\n6336 27803\n3766 13243\n8795 11569\n1000 25264\n22447 34500\n1720 6019\n19969 37041\n36 39471\n20406 30947\n7804 35070\n39929 41874\n10138 35105\n44911 48415\n4948 32175\n13088 17724\n36232 47868\n15369 23202\n2697 14102\n23550 30359\n21811 35911\n28926 35164\n27013 38295\n2463 25623\n5086 45292\n37258 39213\n10693 26712\n26235 28849\n8055 36047\n39148 46547\n14051 28895\n2360 46894\n9593 27855\n13798 17973\n6646 46127\n23370 30062\n13713 21902\n26881 36234\n2073 47075\n16642 19711\n17041 18248\n29289 47951\n30409 46535\n39827 47991\n7489 12387\n11956 32339\n41774 43485\n20777 37997\n12817 36034\n41150 43619\n14565 46836\n6520 22147\n11679 39912\n650 35898\n15555 26509\n34692 45522\n22158 27256\n23144 40819\n13912 31045\n11356 30823\n7962 48065\n19260 37748\n4173 36849\n11898 27036\n1724 13121\n16406 29135\n8785 9205\n13095 47039\n34597 43804\n26693 31458\n15362 37291\n9718 24970\n16563 32335\n7374 48166\n22707 42856\n19232 30939\n8233 41734\n42296 46574\n25277 40001\n31827 42663\n15015 15041\n36898 39592\n19661 41702\n34597 42111\n9168 39898\n29578 32004\n14723 15324\n1142 20165\n33849 38723\n32815 41114\n3100 8705\n16682 17237\n13499 28082\n9089 39581\n18348 28620\n2899 6264\n37258 41809\n3083 6338\n15408 37343\n27242 43165\n6131 43750\n791 41921\n1078 16904\n8260 36411\n26231 40372\n3716 4659\n41077 45945\n236 32242\n14632 42510\n20630 37595\n3228 3738\n6199 39122\n19091 26265\n15870 21390\n24285 47763\n23576 29669\n15512 24346\n23766 40405\n1293 41711\n11507 37747\n2575 18952\n2432 39594\n25626 30728\n13728 26611\n1867 5288\n41917 45627\n13448 18956\n15689 29856\n16606 43444\n18748 44083\n14133 45701\n10581 48122\n16812 19782\n16979 23151\n369 33276\n8522 13215\n3371 20939\n33625 35975\n896 17882\n16465 20519\n30195 36800\n33339 36238\n10537 17506\n16439 41482\n1219 47469\n20160 33339\n37036 42658\n16825 39606\n16887 40283\n10689 33919\n27022 45168\n39432 40887\n17106 43176\n23081 31900\n11402 20462\n24857 30227\n4296 44283\n38687 42951\n37955 47445\n8822 17440\n18463 44777\n4792 31265\n22167 27377\n20381 45156\n13885 30760\n24909 48613\n899 2235\n29171 38091\n2027 30952\n5522 9878\n6359 34924\n20735 33645\n1292 45736\n27700 32591\n18724 31981\n17263 36916\n42780 45056\n3463 45830\n33966 42212\n43645 46488\n42136 42391\n24957 28936\n32423 33463\n15083 24377\n15945 45099\n27017 41231\n5936 47985\n305 39985\n35505 36363\n18939 39585\n12733 31826\n15825 27789\n9338 46089\n44563 44867\n1293 9125\n16066 39648\n22718 27724\n7804 20469\n15331 41344\n42446 46933\n5735 29517\n28439 37007\n32771 39233\n6402 12172\n9927 17036\n11727 46983\n8249 36235\n7568 23733\n30925 36469\n16282 27773\n11039 32404\n29284 43184\n1602 16689\n8229 10078\n19591 29709\n11442 32919\n22828 26526\n20522 29358\n27111 41651\n6138 14325\n3121 7958\n8598 38446\n18414 39297\n34062 44617\n17721 20373\n44285 47564\n1433 2729\n10061 35927\n9197 28778\n6259 16397\n28822 38151\n3347 39866\n15511 46919\n30062 46663\n16839 18231\n30061 47905\n45254 46666\n8951 12113\n10867 45381\n1081 24280\n25680 31269\n23582 41619\n6902 33909\n17998 27781\n10345 22792\n27355 32838\n11093 39885\n4958 31314\n11861 47825\n9571 40798\n16695 41941\n638 48174\n11536 18424\n2915 12760\n10102 16983\n6419 12850\n4519 44377\n3116 40815\n16601 19470\n25114 46735\n28387 31360\n1422 29330\n22424 23041\n6104 45241\n3435 37828\n30877 47968\n1807 18007\n20896 38424\n33188 34037\n17395 26337\n22366 39723\n15903 22424\n35876 41171\n12041 25063\n19519 21576\n12179 36861\n23276 25454\n11694 36933\n1542 23894\n8494 31958\n14404 47567\n6806 17572\n17152 46992\n35764 48234\n36602 46149\n21216 47730\n16657 48334\n21625 38250\n14292 23998\n11014 33192\n43636 46683\n32411 46089\n1980 42757\n10498 35581\n6315 45474\n34687 40956\n9909 17744\n762 12162\n17621 48654\n36431 48317\n13992 21685\n16686 48071\n13978 20065\n21171 27282\n4881 5276\n26406 38401\n6222 15693\n6058 26687\n25829 43423\n32314 45015\n3588 38222\n24852 48176\n9655 40269\n716 4066\n36233 48048\n5199 24450\n8346 11679\n2215 25885\n15516 27396\n19081 36988\n26705 38675\n30176 31936\n15796 15845\n15194 38614\n23224 37573\n19339 22775\n38982 47567\n27566 29129\n17892 47123\n436 2921\n750 18359\n4702 26420\n5471 21612\n18675 45009\n1332 4757\n6890 23575\n14827 38480\n12002 17480\n5797 17110\n2227 17483\n4361 13596\n6963 39027\n5436 23906\n18808 25513\n13550 40955\n30148 34809\n28313 33013\n9489 27862\n12575 46315\n9860 16179\n12486 23278\n10337 26505\n8910 19708\n10638 12456\n32682 45194\n6081 23858\n7120 28625\n14271 18532\n19908 44217\n17520 47942\n30746 31060\n24770 40655\n11969 31685\n21799 36791\n46422 47406\n4416 46668\n4263 15539\n36431 40164\n15938 32982\n15782 35893\n42842 44142\n30888 35658\n17539 32512\n34952 43279\n42093 47950\n28394 43626\n3884 29724\n6912 43472\n13148 40617\n38183 47184\n22900 47770\n29664 38346\n12298 13017\n46466 47431\n10732 17732\n7922 22096\n44491 45442\n6710 28542\n6039 32004\n36255 44535\n8768 13745\n4373 43490\n28207 45466\n20034 40875\n709 29889\n481 32278\n21877 27832\n22717 30334\n4800 31207\n25300 45170\n12507 31969\n16046 24943\n25072 39871\n3208 30864\n25571 26640\n21248 24458\n11098 24444\n5278 8834\n8505 37435\n11741 16000\n14134 43359\n4694 41785\n4334 7238\n22626 47458\n9285 11700\n14254 46827\n32877 34122\n26736 45796\n12062 15225\n443 17177\n23324 35017\n5232 45929\n18716 38829\n1446 15336\n41902 45299\n23576 47730\n17856 20589\n34677 37177\n2093 29089\n2151 27488\n16223 40548\n19261 25500\n13134 24762\n4455 13940\n6708 39783\n6582 10950\n41459 48522\n5316 39350\n20940 41490\n1757 22475\n20782 21454\n8428 33902\n10207 13653\n13395 18899\n11442 26246\n2370 13154\n4323 41115\n27503 33631\n9847 28855\n14655 22233\n4042 29318\n16510 28383\n6219 11584\n9032 9191\n26260 31887\n5164 21732\n34202 35382\n17197 17588\n2807 44581\n12086 43844\n2962 46634\n10146 27570\n34597 41829\n13712 24184\n2387 19015\n11287 38519\n9242 43369\n9847 34697\n8086 20299\n11245 11835\n17878 22476\n4572 19468\n7351 28900\n15013 23629\n16644 35697\n1762 28830\n5904 13057\n5349 43424\n19566 45976\n31200 41641\n29844 33290\n16298 16388\n4236 40051\n9194 28523\n44581 46501\n8707 15211\n4582 22224\n10223 30891\n24536 40796\n19222 19225\n18054 46227\n25026 41643\n5090 37921\n27166 42569\n2183 31875\n35377 44764\n23238 42929\n9407 40075\n10961 24245\n25670 29015\n7349 32759\n22771 38554\n17685 40104\n35296 46160\n7977 44284\n7485 43379\n28821 35388\n13314 27411\n12010 44181\n31525 42977\n32577 38587\n3281 48072\n14059 35578\n13156 26254\n6034 11070\n16986 29308\n30597 45016\n2117 16313\n3263 44533\n13222 31873\n242 13490\n30149 34537\n22672 31003\n25670 32091\n907 32719\n1515 19002\n7814 8510\n2844 31766\n9431 23662\n2013 28730\n15875 19442\n767 28447\n11117 21056\n18780 22320\n1391 16043\n6709 19995\n14611 37294\n9166 19680\n22851 33341\n30688 41061\n11670 48602\n29691 33292\n26432 37646\n20381 45033\n8071 29345\n7838 7854\n1270 2663\n29227 30391\n29179 40572\n8259 27618\n7170 35468\n11328 12168\n42469 47664\n11604 18154\n12178 35778\n24376 41595\n15416 26113\n16316 23801\n13546 16318\n12525 30914\n22534 27652\n3616 31190\n8465 42045\n4084 14264\n7282 8272\n6187 39170\n27426 46099\n30187 43690\n25012 39584\n1656 44898\n14714 15617\n545 36154\n18404 31752\n11852 36022\n21583 47144\n12581 17022\n38783 45697\n37998 42385\n11908 15469\n406 46955\n10779 20959\n23372 24724\n9689 14513\n19749 40014\n5945 22686\n8224 17252\n19048 23214\n19311 39653\n21175 31225\n13053 30249\n3936 20480\n15240 35855\n23941 39742\n6827 18934\n4077 6081\n23784 34151\n7761 33682\n18025 23778\n15187 19563\n6785 38375\n9929 19744\n40811 47695\n33433 40131\n1277 37467\n35114 44202\n15419 25403\n33461 40326\n4836 16739\n13900 32675\n38065 46277\n24808 43989\n13735 37243\n68 30263\n12427 32357\n42573 43885\n1872 12227\n27108 44194\n21312 24641\n23583 26025\n36432 37186\n8637 47584\n4900 8842\n39086 42491\n26234 47577\n38942 48145\n8612 40600\n8022 39747\n7929 38365\n36414 41499\n33619 37272\n18684 38102\n13158 42350\n6597 43488\n10093 16408\n27090 42233\n24896 40085\n24243 34988\n4478 4821\n19207 37472\n819 40581\n23014 47668\n15033 27997\n1445 27100\n17558 33122\n24829 26594\n34652 37370\n2259 33549\n9659 16860\n20719 30330\n15491 17815\n27301 35750\n14759 43660\n23739 33599\n6021 43191\n30470 41726\n17586 33630\n8392 19378\n1185 18261\n25657 40783\n20954 27562\n17113 47668\n2900 24499\n9404 19647\n3183 28504\n17296 19967\n18650 27257\n21503 47150\n7565 13600\n44818 46337\n16772 43780\n15717 18284\n15333 32517\n39707 43743\n44025 46008\n7413 24743\n431 25964\n21794 36840\n25886 29851\n341 23656\n17828 36498\n12150 41852\n16889 25379\n3303 27029\n6877 15486\n332 12727\n22966 45104\n31609 45472\n3877 10026\n19843 44712\n11072 22648\n34980 42316\n3003 19640\n19622 24273\n14304 36368\n27748 30112\n18649 39369\n13527 40338\n36108 45069\n740 16247\n29282 40759\n7738 20344\n19524 30945\n15224 38157\n4415 17997\n15545 31126\n38881 44716\n5288 17916\n1138 20903\n2901 26246\n4117 27097\n3821 37154\n11139 44938\n15077 18108\n10834 12591\n224 21308\n6643 46022\n31373 37226\n4030 28108\n13010 28293\n15329 34425\n11595 48360\n4650 25270\n25293 46874\n7234 37012\n16155 41647\n8215 39882\n16088 28572\n45183 47202\n14519 36630\n19614 33424\n15000 44658\n9495 29159\n5021 46096\n15649 39837\n1491 11974\n15554 16677\n12467 35742\n35108 44133\n21161 36981\n9911 10025\n6664 32948\n22787 24489\n5231 12804\n34288 40279\n25526 27198\n13564 32621\n2157 24247\n12433 22476\n383 15127\n12901 17518\n9514 40749\n1890 41675\n9454 10201\n30755 37178\n16681 30851\n14429 24982\n2118 13737\n11923 30561\n39697 41868\n15533 41155\n9902 13111\n33530 35165\n5067 12064\n32476 34580\n4629 39777\n29276 44917\n10513 15545\n42182 44899\n5553 12127\n7447 29802\n4621 7974\n34392 40527\n13194 30477\n18226 21856\n6059 6500\n15968 33522\n16844 21639\n33852 46828\n37743 42436\n9910 30232\n1359 37316\n5017 17275\n10729 30399\n9811 27686\n19030 44734\n10103 23039\n6570 14605\n3881 37102\n23696 39887\n5997 48543\n6135 30696\n26526 41120\n13341 17119\n625 1496\n10241 47614\n3308 46363\n16019 32665\n7477 20639\n37946 46405\n28314 42719\n2190 21244\n24327 29732\n9078 19826\n22313 35030\n34544 43267\n14664 45221\n31141 35701\n28220 31930\n21510 24362\n15509 43291\n23113 27935\n2653 48165\n6200 15015\n18809 46281\n5969 40594\n10982 36629\n20136 34551\n36725 43368\n2435 29789\n41875 44427\n1129 2190\n28621 34590\n23559 36090\n19981 28413\n7189 10013\n17943 42471\n27728 45882\n17520 40084\n13433 47052\n2327 18492\n20794 32251\n209 38623\n5339 34128\n16844 23781\n45931 46170\n5143 20808\n13708 43879\n30430 42096\n8229 39211\n30186 46670\n17020 41020\n35971 46084\n6308 17721\n26049 40604\n19624 24925\n34232 41927\n9384 34424\n34753 37426\n2184 3082\n2708 22517\n26798 36093\n22527 45668\n33971 40447\n1660 48540\n34824 37163\n18797 24280\n31658 47785\n23362 29876\n16334 35606\n2892 30206\n6910 20040\n18308 20350\n27557 36536\n28681 39620\n15651 23663\n12056 16674\n7167 33411\n7212 37068\n1068 28711\n5040 30987\n9281 43699\n5528 35594\n23260 30518\n8679 20229\n11290 36886\n13047 13379\n2055 38584\n7476 8348\n10955 18694\n18656 21939\n30480 47257\n21000 36101\n7540 22647\n10973 35771\n34986 39751\n9050 37241\n1393 33908\n24270 32673\n27663 34121\n16939 25156\n5447 46293\n15988 39133\n6460 20905\n9707 24910\n3378 14735\n3136 20136\n2847 13049\n3337 35760\n16715 30096\n20408 45473\n14830 20256\n22636 39584\n612 10698\n3369 41181\n10691 40318\n19714 24842\n4194 16561\n25808 48320\n19993 33997\n4664 7407\n1768 12670\n15332 45543\n21731 31598\n6881 8689\n17069 37656\n31790 41835\n16606 47405\n34989 36576\n41702 42759\n5390 34320\n3522 35362\n12832 39518\n1088 37074\n29047 31184\n19758 21048\n3016 7698\n4348 16890\n10157 35413\n20068 25277\n10446 28525\n39321 41611\n29626 36401\n3724 37860\n8129 44390\n6015 45686\n53 44338\n17469 31992\n3954 7314\n23596 40367\n2537 11230\n12372 26610\n26606 46668\n6696 44216\n25974 32700\n19074 45286\n31742 35233\n11626 11974\n30268 48304\n1155 17371\n13964 24946\n4990 11716\n10572 26110\n2086 18469\n28615 46098\n1922 44990\n31451 41872\n13445 27586\n448 2749\n363 1938\n36486 40948\n17409 27090\n28810 39502\n26026 34883\n11863 39377\n30206 36610\n21752 41868\n41678 47712\n37510 41648\n28912 47430\n959 13562\n9530 44081\n29710 36323\n4450 34319\n18679 29299\n22309 30892\n25285 28214\n38207 41523\n10733 22320\n13192 29748\n17474 44072\n13091 19173\n1487 34390\n11801 44449\n7490 45341\n14790 15575\n17706 32485\n30616 47321\n30009 44581\n7361 14000\n21577 33518\n43292 45562\n14455 22143\n9698 27970\n9975 43354\n19645 31243\n6053 44577\n76 26844\n9334 18866\n16696 21219\n28699 34698\n9188 31788\n6698 10607\n3454 46274\n7393 42510\n6632 25652\n5403 15092\n16302 24054\n9716 18609\n32895 43851\n32317 48419\n18373 26296\n30938 33181\n25491 48283\n3247 45232\n759 44382\n7214 35605\n33590 35113\n21509 40243\n24319 47874\n10584 16635\n21604 25644\n28810 46487\n10708 21065\n8216 47694\n5657 26377\n15538 15783\n13312 27426\n2767 5529\n8568 24089\n17101 41026\n30816 39182\n16177 43719\n27935 45274\n17284 25867\n10915 25584\n42438 44932\n6380 13097\n12403 28455\n14815 36679\n5742 36929\n21159 33299\n25187 33507\n13976 24647\n35696 39312\n11362 30718\n9714 45271\n30149 35662\n1287 12336\n14323 22620\n15343 43997\n25892 32188\n17703 34649\n33995 44775\n8377 38725\n33655 40005\n27650 47280\n31995 38315\n21016 34788\n33989 35335\n5274 35108\n5997 32263\n10264 44189\n25107 25205\n16737 47564\n35845 46165\n26322 36799\n33242 40493\n10631 14702\n24687 47463\n785 11345\n7814 22504\n15549 15942\n14897 32260\n9114 45784\n18195 28948\n31160 42601\n26905 46103\n26756 28175\n20849 43931\n5440 32980\n7635 9267\n22172 24103\n9853 47435\n37240 42619\n34956 43542\n4806 40842\n7798 16097\n16764 46200\n4786 41660\n18283 35968\n4514 15682\n24920 31859\n12108 13653\n16938 34336\n4783 5479\n29502 35863\n29472 29726\n2659 48010\n29856 34904\n10312 12699\n9894 42903\n3222 31489\n14708 19500\n12135 20498\n2216 39751\n36360 39798\n7545 28030\n23013 30049\n11583 26730\n8601 39395\n19451 40465\n5470 7087\n1757 17846\n1691 39607\n4060 41021\n2974 29559\n3098 39597\n34472 42443\n28900 35731\n24835 33900\n8275 22087\n13642 35951\n14386 25192\n17795 19427\n18501 22104\n23736 47104\n869 19676\n3794 36636\n25963 29565\n20284 22625\n30340 46493\n14077 38432\n10926 11743\n2942 38351\n6211 7160\n25372 26238\n16108 22402\n10274 37478\n28448 39752\n17742 44892\n17480 26603\n8529 25935\n15846 19855\n9671 28212\n12138 27354\n10309 22663\n18652 46164\n15611 35711\n30783 35058\n6589 41881\n151 36374\n7420 44527\n20689 37129\n20068 42886\n6180 8038\n32971 43580\n36222 46415\n12441 21497\n25525 35060\n32078 37278\n2278 36168\n26391 27969\n43450 44649\n16167 29678\n5501 25020\n13279 44472\n37892 42534\n2554 44343\n14706 21792\n21327 30118\n41851 46999\n12474 38255\n11496 30121\n34793 47611\n485 18547\n1894 37937\n11413 18048\n20469 26188\n41924 42163\n28435 33292\n20938 28988\n22887 27232\n6317 41314\n14583 25646\n20252 41970\n7510 48514\n8690 16628\n2554 22163\n17135 27086\n29339 39507\n2349 36863\n33250 41111\n1603 9430\n4488 19628\n35002 45990\n12874 16736\n3316 27500\n34029 41577\n11277 14936\n11632 36791\n8361 26397\n14334 45817\n29207 34138\n37874 43335\n601 6071\n7693 23061\n5259 8256\n45940 47480\n12062 27516\n25 12810\n28695 46713\n24846 35412\n6652 37804\n22348 30466\n11273 21396\n6485 37672\n2254 17814\n37016 44745\n23503 47483\n16909 25065\n3949 28217\n9846 45946\n10815 33202\n18014 41870\n6172 26644\n7680 28859\n14168 27401\n30433 34498\n6395 37995\n2017 12835\n12459 17079\n13254 20559\n10265 37850\n24480 32212\n2614 26328\n44901 47255\n13738 31072\n41040 48294\n6026 31427\n39565 42656\n117 34014\n28775 44452\n12169 43558\n22568 26054\n6591 33045\n20994 38046\n545 47344\n32164 34821\n16938 43745\n32097 32176\n40485 43229\n41090 43327\n32470 33996\n36749 37564\n6881 11816\n25394 38000\n2723 29942\n33163 37647\n39789 42624\n8557 33597\n3552 18179\n26031 40503\n36621 40058\n29652 38922\n1070 15884\n22422 41228\n20175 40984\n18266 26542\n12623 37364\n16005 28965\n4187 15703\n7497 15446\n10516 44381\n1860 25720\n11772 37576\n19854 46956\n18870 42221\n11406 30037\n19694 35949\n6483 24746\n17574 38552\n1291 43101\n7371 16475\n19993 34723\n19989 37219\n30392 46872\n10008 25230\n20792 28049\n3290 31897\n42213 42934\n20019 45210\n11447 30828\n25950 39162\n17689 46063\n38912 46342\n13504 18663\n1789 33773\n45456 46099\n9118 21576\n710 20173\n3140 15211\n6980 39070\n39589 42913\n24457 45504\n7887 35055\n3726 42034\n7197 8999\n13132 44575\n15005 36387\n12341 19433\n5759 14261\n29691 43334\n8423 27258\n948 37979\n4745 11210\n10664 34393\n3131 9945\n36559 47783\n12662 21886\n11012 16112\n16889 38678\n12712 27668\n28177 30561\n26188 28891\n877 48312\n18325 42388\n8915 11110\n17931 28099\n10454 48543\n2054 11314\n28804 31641\n10493 44798\n1885 30425\n7136 13542\n6624 19047\n482 35272\n24493 24627\n13511 20767\n21581 27589\n11942 37238\n21209 25644\n19186 35220\n17257 24192\n21071 44367\n25592 32854\n2894 33875\n10004 14388\n1363 23431\n15130 20632\n6254 38304\n26596 39649\n11015 47573\n15844 19510\n21410 29523\n23004 25966\n26123 40039\n6498 25766\n22584 38661\n32921 41973\n2734 8405\n14068 35014\n6429 27523\n11247 15931\n38652 39130\n44683 46398\n16399 43728\n6052 35564\n11818 39845\n984 6194\n2025 9634\n7419 7938\n24935 27161\n23780 30059\n38857 44500\n18900 26002\n31867 32588\n6171 31359\n13348 25088\n3993 37414\n37570 37714\n14890 32317\n20582 38637\n22280 35352\n25122 39181\n27617 36323\n38188 48510\n30322 42008\n7298 7501\n20307 35340\n17312 41650\n18972 27939\n3454 10500\n11912 18769\n11 27470\n3378 4468\n7607 11345\n4716 43604\n10501 29229\n16087 16667\n4414 32154\n13925 37660\n22186 36544\n9243 46365\n6947 31933\n10861 18474\n2644 37200\n12283 26132\n22564 47837\n13249 26563\n2982 22507\n22235 46707\n30040 32847\n27275 30167\n19819 39783\n32981 37668\n10506 24179\n1591 32875\n23360 29731\n6585 15764\n36096 43592\n19632 32615\n17842 27004\n3875 36186\n21097 36259\n18965 30123\n19856 46106\n12851 21994\n8908 28202\n699 34989\n40086 43200\n41020 46081\n6438 15859\n696 42932\n15193 45725\n20856 40623\n14475 42896\n3248 21684\n5 30318\n26393 28653\n12800 32582\n22615 35412\n8417 34380\n17650 29428\n38161 48123\n32311 38276\n1287 48375\n3502 40609\n23590 41944\n37158 47714\n2890 37050\n28740 29205\n7475 14090\n27345 33414\n28557 41452\n16849 34801\n11557 14854\n21990 34655\n304 44550\n876 19270\n21083 36724\n38290 48248\n13388 17393\n19397 24258\n6926 33784\n6584 31262\n740 31537\n20112 45029\n13002 38359\n2559 47358\n19719 42098\n18099 45538\n3396 34536\n7334 8067\n30913 34987\n42272 44428\n15864 21689\n28607 32576\n41283 42940\n21040 41137\n31271 36913\n36876 42461\n19256 32066\n31346 34490\n14742 35982\n29365 31495\n38013 44979\n1132 44044\n14940 29395\n3600 13978\n21272 43926\n20950 48623\n6252 19098\n6904 15595\n17238 46697\n11471 38469\n27750 45274\n2306 19328\n25388 27517\n19039 29287\n4917 41225\n12802 28240\n19692 40330\n20825 21313\n23413 36197\n8537 16081\n1478 7279\n1013 8352\n5122 26183\n25688 34929\n18960 36317\n10607 35283\n14334 18223\n14410 32199\n1264 28830\n25624 44980\n1154 6114\n18614 40921\n24828 48155\n22768 47802\n1534 12583\n3791 43336\n25022 46046\n11264 21014\n10879 32560\n22922 33833\n4806 31791\n5028 24955\n7703 15176\n30313 39829\n15155 35420\n7887 16823\n3178 27799\n4552 43130\n10253 25222\n15458 38556\n24421 35879\n5738 23968\n25936 32963\n9850 26830\n30352 45050\n7318 47554\n11893 29982\n8431 25789\n23394 44420\n18717 36648\n9865 41570\n11231 36800\n26463 29005\n7048 24938\n14040 34287\n8705 25906\n2588 45297\n6908 27866\n6363 31939\n31937 38766\n5607 48442\n6985 25731\n7580 30409\n26171 41815\n12712 24085\n23573 38195\n17472 40014\n5530 15895\n25990 40037\n1008 43553\n15320 31385\n33505 44212\n4098 10542\n12509 39812\n6893 17447\n11445 25194\n10295 17052\n848 15242\n17042 41799\n27107 28062\n16057 38022\n32745 38076\n17409 18479\n31693 40345\n34614 41223\n26402 40997\n4507 40319\n8787 45381\n3307 31016\n5997 23233\n13894 38823\n11238 47739\n7307 31271\n9356 15218\n34314 38680\n7443 12426\n9976 28014\n17265 31950\n38258 39680\n35379 45020\n17725 23903\n6549 15580\n1617 43880\n9243 18638\n1218 36764\n210 3375\n28779 40637\n21184 31530\n43190 48401\n7334 36219\n15321 43990\n9393 40008\n45541 46797\n32089 45448\n30145 31273\n5019 14510\n10095 33384\n2258 11720\n21319 25502\n29785 31585\n44776 45139\n3646 20241\n2643 5255\n13819 19481\n17076 43824\n2460 25652\n20587 28990\n35928 39529\n33101 47890\n3246 21400\n15841 37849\n14206 30404\n10640 24098\n16641 25804\n7048 20166\n5011 24432\n27434 40431\n14320 21265\n9434 42006\n8515 12338\n11295 33535\n38649 40759\n10971 30066\n5287 33650\n2495 46408\n730 33500\n5757 42366\n4923 10541\n10806 22921\n16199 34427\n22163 47606\n31496 43951\n43947 43966\n12039 35776\n36984 41328\n38128 47388\n18971 46527\n34695 36844\n25963 26474\n4309 43987\n2724 31824\n18590 48292\n28971 46753\n41292 47059\n28327 30025\n30086 46801\n28958 40371\n9318 20094\n31944 32651\n17520 20141\n25640 38230\n8554 31111\n5064 14445\n16363 43773\n11251 27361\n12330 14533\n5697 38309\n3022 13285\n4394 5014\n9457 26050\n19706 37034\n34607 44255\n13056 39340\n22754 26899\n8888 34521\n21001 42705\n30565 46102\n6695 31621\n23854 36608\n1054 15336\n8894 39561\n15033 45223\n12283 42981\n1030 24843\n294 40883\n24060 41865\n14958 22537\n24863 31053\n6328 9872\n8902 28364\n2909 21997\n24349 43470\n29913 35573\n5056 26638\n34194 47112\n41760 42349\n15458 18103\n17014 36540\n15718 20380\n19303 19651\n6572 44210\n14423 15084\n36242 42774\n13217 44857\n21634 41737\n28470 36668\n1062 45505\n8298 10639\n18511 21192\n22440 25741\n3182 22960\n7157 42204\n14688 48268\n18683 22892\n1893 21014\n19922 33911\n6894 23133\n11574 38858\n18670 32102\n25422 42058\n12212 31768\n32586 43365\n946 3502\n1829 26988\n15401 25622\n6269 27004\n14483 20929\n6448 31559\n11072 30212\n3961 47704\n46408 47082\n1520 20237\n1688 9200\n8843 27843\n5322 20282\n14706 48491\n2983 22311\n8400 48245\n14012 40269\n5048 19231\n4708 8244\n26945 41347\n764 46988\n25112 41157\n23835 23912\n32426 44645\n24465 36379\n44212 46897\n29077 31899\n305 24657\n27504 43544\n22848 29992\n33953 37045\n21007 31107\n9967 44827\n24708 35269\n40758 44813\n14555 24067\n5287 8437\n23139 37809\n19617 41459\n17168 48547\n2997 17011\n28769 46291\n36545 42323\n2992 12093\n7127 25783\n36787 44151\n4703 37753\n30524 36352\n1549 43257\n17138 21327\n21853 22849\n26976 27838\n3279 36737\n5758 41755\n7448 33704\n3939 30121\n15807 36355\n33797 39781\n746 14671\n4130 23232\n6707 42410\n23725 24953\n29119 40829\n20720 21598\n42293 44876\n4343 35909\n28661 43488\n19154 35899\n34854 38232\n17647 20191\n11530 35620\n27544 46455\n27807 38554\n20200 42791\n10420 16540\n12784 28321\n22909 44291\n790 27777\n15996 48375\n10281 11326\n25673 42640\n5214 10258\n21191 39222\n37450 44797\n14977 22048\n9310 36623\n681 23034\n17015 30418\n7636 37096\n6831 8589\n120 17399\n39066 40960\n2578 25216\n21361 23351\n2896 46522\n14971 22066\n19366 28911\n38160 42158\n6958 27614\n37471 38117\n34775 40243\n26186 38036\n6962 46654\n4927 8340\n9614 36264\n29291 33295\n7153 33219\n16060 32590\n11406 16134\n8503 11221\n17483 32885\n26889 35000\n730 37554\n6419 40381\n14604 16077\n11256 45076\n34374 48266\n12516 29202\n22699 28533\n37750 43369\n4675 14400\n20253 24406\n8759 42495\n14722 30602\n25977 37126\n37621 47765\n32848 34891\n7549 19039\n28325 36691\n19651 24507\n17301 25293\n6771 11444\n11752 40558\n10203 47776\n39845 44461\n10010 43029\n4516 46121\n19498 30452\n43903 46463\n17001 36444\n3647 47906\n6586 35966\n7646 18019\n6775 36475\n22511 46630\n1095 2192\n7352 14165\n3477 10211\n12996 43741\n96 38816\n16429 22346\n26268 38945\n5662 10253\n1595 17815\n31944 34984\n39541 48319\n28358 41545\n13122 44436\n27806 46164\n16273 25314\n11073 16160\n2993 21507\n6077 44691\n24457 47533\n9281 11157\n20807 28599\n18085 46917\n18402 34434\n33511 39500\n35896 39446\n37268 46549\n34199 46263\n36368 40054\n20775 41395\n5134 30315\n6431 24190\n7915 46528\n19035 28027\n948 3381\n5560 22931\n13345 16406\n12342 31392\n17570 35798\n3335 26961\n6810 47247\n8594 18852\n10390 41239\n9714 20037\n5417 35360\n18640 34384\n9694 22625\n40098 46825\n19561 46412\n6406 42653\n34716 46741\n10767 17512\n20977 24249\n19670 20982\n2384 3899\n25867 37646\n3321 32099\n33640 40759\n28420 43406\n39069 46032\n9874 42129\n38193 41653\n3783 19766\n20207 39384\n16457 38471\n35244 43621\n1790 2351\n5844 24027\n26137 39205\n10341 47716\n4203 32049\n29251 48681\n2230 11132\n8559 14080\n43143 44297\n27955 38383\n20065 28479\n14085 31415\n35358 46983\n14391 23583\n12367 25365\n7235 19335\n2012 41032\n4030 30180\n38753 43375\n2577 25693\n17277 25384\n15252 32252\n21530 28158\n6338 21390\n17069 20969\n13643 25253\n4107 36587\n16664 34713\n35311 43125\n4505 32962\n24326 40101\n22785 28021\n23745 47866\n1878 46569\n32785 47311\n1347 7347\n7083 41737\n12019 41047\n39637 44858\n4529 29299\n8713 43070\n41167 47210\n20099 20649\n11128 24082\n11233 12300\n19974 41774\n34491 41707\n16677 46919\n5065 30851\n3326 31136\n20565 37681\n11556 23524\n31917 35524\n18451 46936\n4750 17310\n7682 47415\n21682 24718\n29815 41624\n28212 28347\n516 26693\n6101 17457\n1190 45377\n9101 16169\n6837 17790\n31310 43836\n4659 47797\n3598 21938\n30443 33816\n22483 25608\n9908 32638\n23189 28084\n14478 41422\n9691 16311\n19059 38166\n34288 44396\n14224 20234\n3625 9381\n13675 22374\n9855 18712\n25022 43755\n9368 36883\n35937 39193\n29194 38698\n13921 33879\n8046 22324\n19236 25294\n22900 24167\n5662 22495\n33260 36097\n7907 31411\n20480 22321\n4984 5105\n840 47930\n27710 35267\n29342 45114\n1530 12153\n22707 39921\n32533 45770\n9409 22239\n9779 26136\n22051 35829\n7357 43388\n10558 41801\n1724 3173\n30744 46326\n2012 19911\n5137 42899\n14969 20636\n19192 36525\n2646 8135\n11165 48501\n25152 27463\n2477 9120\n13966 31233\n835 18512\n15486 42113\n834 42737\n22989 39022\n38088 39020\n19085 41024\n24838 40840\n7484 34735\n25281 32516\n19576 38952\n36662 38278\n899 44033\n17198 25797\n41342 42808\n15639 46096\n18354 26029\n17903 35750\n4333 26108\n32956 41152\n10031 22145\n5760 14272\n14416 38696\n4523 8127\n3519 35504\n6150 36452\n25674 45366\n7631 7807\n11205 41790\n39479 39666\n8289 42335\n25034 31567\n10796 15019\n24653 41820\n8505 26378\n14702 27402\n27275 35862\n23929 34351\n35654 40277\n5971 10643\n9143 45618\n2277 24792\n332 21370\n26102 30569\n9177 45804\n24158 38637\n19698 30090\n32367 38034\n33406 36686\n20428 20951\n16806 42956\n31213 32375\n8132 27432\n8686 14273\n29157 45155\n1838 38996\n19073 31571\n560 7726\n32758 38618\n25764 32573\n24398 46968\n9018 16657\n4335 32691\n24759 46118\n17269 37807\n5169 40699\n10554 24253\n22784 44100\n4453 42304\n1480 43259\n10961 42829\n6213 8201\n19487 44009\n8603 41682\n19869 21212\n34128 39721\n30395 46699\n15388 27682\n25397 33970\n15248 47587\n25443 31518\n27503 44480\n15066 43273\n10666 21317\n8018 8948\n5198 14447\n29966 31319\n24013 44974\n37662 47876\n15460 27185\n6003 22328\n222 413\n5713 48503\n18172 45304\n36434 37563\n20898 34919\n21516 26011\n6592 16747\n9516 33556\n5762 29665\n7838 10420\n4666 35652\n18923 26842\n35107 44549\n6394 31437\n3145 44955\n3823 40188\n5953 16499\n20688 41812\n1162 17002\n7850 43611\n607 20090\n20226 40983\n31390 36838\n34944 40046\n27647 42968\n33408 38126\n11410 35793\n23424 25459\n13505 48023\n11304 29725\n4612 34549\n31133 32403\n7041 32631\n34973 38617\n22877 36229\n6547 11859\n7237 44801\n14426 19075\n9902 11470\n7140 9736\n23149 35005\n4120 48079\n5689 43941\n13166 19537\n6487 34481\n26940 41017\n24106 34603\n12540 22496\n798 29440\n24945 25236\n15586 41471\n6351 43777\n12425 32068\n14966 18772\n22839 39711\n38702 47149\n3925 34233\n3778 32274\n15162 32459\n8186 33312\n9511 43697\n3050 23192\n9075 46900\n40977 44630\n39978 44996\n2951 46001\n21917 41314\n14453 32239\n10485 37057\n46030 46095\n16279 21016\n14890 18390\n13346 29163\n9873 37852\n19657 24300\n31063 46983\n22889 25874\n5506 38961\n6221 26619\n4666 43811\n13222 28692\n18753 31974\n2336 29200\n20203 25272\n35937 45286\n35496 37055\n13125 22097\n4025 4412\n19268 38373\n8577 28539\n6047 37637\n21076 26402\n14128 24722\n28610 42138\n32928 47175\n42665 47987\n24596 46131\n25879 47559\n15896 38333\n9224 28327\n20224 39360\n33055 46688\n21866 30284\n12510 24099\n1079 40124\n15297 45460\n30796 35547\n4875 8156\n14663 35714\n1313 4658\n33927 47015\n16287 22718\n22056 32937\n11677 31547\n26099 26558\n28194 42670\n24322 24740\n8054 25556\n23308 25384\n2228 11619\n43007 46068\n8549 42167\n5171 47499\n16865 37806\n31997 47508\n37929 40742\n14603 23078\n6074 34412\n6775 36068\n8630 28989\n12754 22741\n20942 24876\n24805 31588\n6827 45612\n43194 43698\n19311 46501\n210 11519\n33858 40941\n23421 33025\n41535 42943\n13629 27660\n3069 44129\n11178 41199\n25722 36638\n11724 33093\n15794 28603\n1535 39472\n15838 41172\n20905 31356\n8075 27468\n2470 35880\n39907 42331\n389 31736\n43278 44518\n29425 42815\n26001 37438\n29150 36368\n36816 42545\n4476 14648\n13078 41757\n1750 1770\n28673 40797\n15415 15926\n7563 14513\n24798 27801\n24595 34551\n10254 23381\n29088 39879\n7745 45398\n20505 23373\n17492 19072\n26985 47067\n17238 35218\n7057 48407\n12150 21357\n28442 45164\n31396 36641\n20756 26178\n1867 4400\n7099 45458\n997 21603\n5350 48503\n5594 21443\n16482 29952\n9931 15754\n17290 35066\n25338 31981\n1136 5720\n24182 32919\n38219 39085\n27689 27914\n45253 46137\n10444 35379\n11802 27462\n33427 36814\n6455 11363\n5482 9282\n2794 32300\n640 7617\n43551 43970\n25761 31896\n12891 46082\n31660 38256\n10964 17111\n34329 34363\n32271 44006\n11268 36341\n16189 46740\n9409 12797\n15594 44938\n24487 27819\n11127 11843\n18245 21859\n4365 33837\n39172 41321\n6972 46234\n8982 18212\n3017 20837\n2306 35289\n4420 43657\n17409 29334\n12000 29205\n2741 22259\n20147 32193\n18092 42585\n28868 48501\n18301 32964\n22065 38960\n25046 30361\n26592 42695\n1054 38370\n4601 18077\n13314 45794\n13213 26252\n11682 42084\n14179 28575\n2299 40606\n5132 5896\n9225 35633\n15232 24701\n34183 42023\n25700 44877\n858 35957\n19146 20798\n31344 32943\n20359 31834\n37214 47581\n26695 35641\n29932 41286\n15720 22313\n8767 10513\n13357 25164\n2855 28983\n23179 35450\n18238 29122\n24216 25923\n13001 46199\n29751 45272\n14166 25757\n25124 34383\n15925 38648\n7286 37902\n4517 7946\n7621 46824\n35816 41107\n2917 32461\n34712 43410\n28695 40378\n5520 44049\n13004 43997\n18201 18732\n3468 15748\n12145 17307\n3994 41416\n35222 41811\n13482 14478\n439 43872\n27087 48499\n6724 16709\n18210 31961\n28568 47046\n32850 38594\n11799 16807\n8181 14303\n37865 43878\n3929 9723\n10797 47329\n19837 47066\n21320 43681\n20 21166\n12525 22759\n5539 43554\n6952 33699\n14453 43811\n1606 8699\n7429 25303\n19054 40342\n3632 27570\n427 46539\n21755 33935\n21760 33409\n15967 46773\n31146 36015\n9954 27816\n1879 44692\n14801 40473\n31717 45592\n8359 39808\n28309 34662\n9129 33700\n24408 37611\n30511 32098\n7844 19470\n31596 32352\n1380 48659\n23688 45959\n32542 34032\n13177 22817\n1576 13325\n34785 39088\n29107 34293\n11846 17112\n39596 44868\n33807 39274\n37425 48620\n827 16931\n11803 24315\n11752 47541\n18733 37348\n8148 26336\n20926 42109\n41751 45382\n41795 42550\n18953 33322\n28723 36628\n21181 24401\n21021 24335\n35109 44025\n1376 44863\n26994 36834\n3833 41236\n17085 24337\n3983 47668\n16398 38681\n27855 35615\n40995 44197\n13891 17302\n27057 34807\n19933 38493\n25696 42405\n10781 47798\n22927 31178\n5322 29224\n2562 36550\n38089 39734\n18830 27613\n11950 15305\n17967 23924\n16229 29543\n6613 24788\n37530 45951\n20701 47115\n17379 21939\n22410 26919\n13959 45679\n33177 34264\n878 23854\n13639 26560\n5482 23960\n14699 25477\n25780 39259\n37731 42027\n11475 29330\n4107 4355\n20906 27730\n9956 32112\n8787 40946\n4237 37514\n22947 46147\n109 3756\n12166 34381\n33175 39371\n3396 18804\n3068 10027\n29730 35748\n5546 25224\n28991 43403\n2479 43366\n1717 28684\n22660 32102\n25296 33961\n6863 7638\n32845 41341\n3638 35529\n16654 28195\n183 6373\n14817 41644\n1163 6354\n18137 47970\n30014 33147\n25145 48386\n11988 17517\n41669 46919\n681 19012\n28693 42506\n1357 38244\n25620 29895\n13510 21560\n23514 30324\n45564 46389\n21008 27346\n10571 11059\n2221 3582\n29419 34783\n27607 38147\n18936 36505\n4719 48258\n11134 46734\n14350 25583\n6874 41947\n582 28933\n12344 32543\n5067 23169\n18280 47340\n41332 44264\n4625 16308\n20676 25606\n2541 33647\n4147 33411\n2143 28893\n14652 26876\n34246 37923\n46385 47688\n21492 34651\n771 35217\n18728 23823\n2858 20282\n3701 7052\n5685 12693\n15131 42570\n22076 40733\n15600 30992\n10246 33165\n11156 23671\n25472 40186\n14760 23124\n2235 16222\n22065 28825\n30556 41157\n21103 23854\n18906 22797\n20840 26589\n3379 47160\n14655 21386\n12171 28755\n28670 33825\n2658 34801\n7069 17826\n2885 37535\n28440 46400\n943 3075\n25043 34032\n13637 27348\n27504 45005\n11425 34583\n14980 43738\n16474 27368\n19530 43900\n13145 29304\n603 941\n7527 20693\n12655 27354\n12440 39767\n483 43652\n14728 41609\n4728 9626\n6570 21091\n5850 44085\n22156 22565\n5158 17019\n10517 39186\n15953 43229\n22791 34765\n42574 45701\n7323 27758\n3812 27631\n26938 47097\n27155 33749\n32429 34051\n7396 13046\n3662 29688\n3875 20756\n21390 27028\n12818 18943\n2354 26416\n4590 35387\n6071 35145\n37193 47920\n8792 32409\n11992 15423\n1553 31734\n3978 14509\n34804 36699\n21584 44223\n6645 37686\n8491 14540\n19028 27503\n9394 17603\n16069 22527\n12505 23244\n7915 37755\n9297 38691\n14885 32496\n22402 37175\n11529 33164\n8900 30902\n4572 32285\n9301 33849\n15088 16533\n21845 36792\n34253 41265\n9684 29627\n15079 38464\n20150 37466\n5152 35625\n14254 17048\n21206 42140\n34603 35495\n12149 18418\n5620 46116\n4712 9269\n15021 30891\n11448 24936\n6762 17506\n24788 39570\n702 26721\n315 14739\n6240 16974\n21826 44942\n4371 9245\n37080 38645\n1624 14679\n14610 35583\n30529 35620\n1632 33894\n2036 5269\n16536 28796\n11202 19576\n9916 19239\n14716 33144\n44213 47634\n2429 11526\n19192 44121\n16472 25361\n6026 43124\n20268 29196\n9633 31399\n26748 38954\n39730 46123\n23292 26235\n16957 25062\n30122 46059\n3834 33392\n1867 43785\n22568 38042\n16118 36752\n15078 35925\n15792 48541\n31590 44120\n10670 14060\n17924 43160\n26475 26928\n10005 27513\n18439 39779\n5236 18587\n11847 35752\n1471 8065\n9173 28196\n29727 41087\n6309 6876\n17299 21732\n40248 41608\n10655 20193\n4574 42302\n10945 21612\n18034 18435\n21635 23073\n38529 45565\n21797 48280\n21924 39924\n6223 33265\n38259 42116\n4425 4905\n533 17782\n2287 5812\n4271 18903\n29574 35780\n15757 44520\n44961 45826\n22944 26603\n24725 27511\n24986 43944\n5806 13423\n11239 39901\n2416 19290\n15043 47437\n19639 22675\n1855 19504\n5080 30731\n10020 32995\n33334 48149\n14205 15745\n2463 31303\n897 33553\n30400 47676\n15552 22375\n18915 46683\n12634 24952\n36426 47153\n25951 28793\n17488 35564\n5851 6776\n7965 34663\n9068 33823\n1330 40926\n25429 26833\n9673 39255\n11908 24316\n14345 43251\n10942 11542\n9960 21764\n27090 33055\n26868 34268\n6209 26501\n10877 42787\n1363 30850\n15276 29150\n20986 46347\n43939 45078\n20610 26656\n13502 45353\n27150 43807\n14429 32462\n41927 47372\n6000 47629\n3149 45810\n2980 3222\n19565 25538\n6902 23291\n27973 44467\n14813 33623\n12036 32250\n14692 15201\n16915 18292\n12641 23334\n30441 34430\n611 29942\n12191 21565\n24794 28627\n18282 39926\n29350 38999\n48141 48370\n45089 48621\n8391 27346\n26730 34012\n25840 45075\n4666 10047\n10308 29081\n4224 25860\n35543 46186\n24360 30883\n1262 47270\n9965 25026\n3418 19822\n12274 41280\n39723 46438\n993 2011\n9976 30990\n19388 41257\n29857 34519\n13550 30853\n32802 43770\n3043 19479\n29741 32420\n6607 37064\n16115 47494\n34371 45930\n14679 41849\n19467 30645\n6659 11078\n22914 43982\n14520 44052\n11832 24918\n11165 20662\n14914 47514\n4846 27373\n25115 30308\n36439 44938\n7713 38595\n25145 31378\n19119 40333\n17011 25217\n26970 36498\n12617 27021\n32478 36936\n3234 3963\n1600 16294\n14276 30408\n17417 30079\n13012 30197\n1700 9491\n1396 20183\n34835 41115\n37738 47638\n11219 30579\n42415 44134\n5093 33491\n13795 22754\n4966 5654\n4464 37463\n7692 36834\n4026 22600\n39497 43541\n4642 41120\n11270 37799\n8152 14059\n28480 33577\n12333 31196\n13600 36423\n12454 14868\n24298 35488\n20966 34201\n7407 25369\n12822 30437\n6094 24202\n37915 43799\n2616 24319\n7064 12563\n28080 33876\n13683 30979\n25075 27953\n5079 9066\n36149 40064\n1627 36478\n31791 47938\n3780 10333\n6912 29340\n18693 28127\n5473 32214\n6653 30671\n13328 43259\n16433 37177\n5886 31800\n4105 10067\n30473 31761\n11586 32463\n5027 5045\n9444 47392\n10019 34984\n22825 28442\n34481 39544\n20293 39349\n21491 27875\n10801 36498\n17227 33371\n19067 31526\n22438 25009\n25052 27316\n18354 43957\n25280 38099\n37061 42451\n20384 41365\n17017 46580\n11442 47600\n25560 39191\n24849 35654\n1251 21877\n22052 37190\n26023 48389\n20561 40876\n11555 24969\n32732 44920\n36139 46106\n17392 27981\n39749 41717\n21216 39913\n9361 37604\n32143 43412\n11145 33473\n31108 41521\n15120 42490\n7437 29537\n23605 29457\n5766 46110\n23931 41822\n13915 36618\n5698 14507\n12532 43850\n15689 31861\n15173 28929\n16011 31099\n19333 29183\n4023 44850\n10517 46845\n9850 24954\n6454 47804\n14559 25955\n32475 44777\n7173 40421\n5770 30043\n11023 25127\n32369 41057\n6830 11223\n1244 37264\n24561 24599\n25115 39489\n23255 26185\n15422 18539\n1823 5678\n10052 31957\n9716 35599\n15397 20990\n30001 40874\n11185 24694\n10497 14908\n8500 17968\n4824 10502\n17795 33810\n19688 44255\n29061 47647\n16693 44351\n28475 40104\n21081 32324\n5607 17470\n2474 16774\n31161 39919\n25277 48519\n10760 23945\n28134 41340\n14365 15370\n35229 35709\n1275 40585\n36842 47701\n10381 31249\n20679 37032\n9277 17098\n27663 37583\n7844 45653\n26597 41320\n14884 15978\n12953 47790\n4757 43736\n4829 7298\n28447 29157\n34240 45526\n24205 26974\n7891 17261\n41248 47108\n4740 35273\n964 28697\n4293 4681\n9601 30866\n3501 16889\n8070 45650\n25595 34354\n2663 30283\n32638 41326\n32211 41012\n3094 18159\n6301 17546\n26424 34978\n34287 41956\n6057 36527\n12634 26599\n652 11319\n3968 20786\n42619 45158\n25235 45323\n1022 36647\n3299 39084\n8465 34548\n6470 46710\n10809 45006\n13061 41204\n24119 36334\n5397 45906\n15671 22955\n11646 12799\n27711 29428\n9497 13734\n17967 24451\n23947 44048\n8553 46015\n11877 17051\n16945 33672\n6571 8809\n21273 23346\n25321 29489\n29339 43611\n5668 29894\n30030 34663\n4327 31213\n12778 26869\n7938 31440\n14646 21507\n1318 14837\n31028 31637\n39568 47471\n11161 15887\n44194 46675\n13275 34222\n18937 23181\n1039 40425\n5275 15553\n5264 35047\n42263 45254\n10317 17222\n3483 20549\n24767 46930\n17012 21297\n28311 29607\n23155 39411\n25768 47928\n4962 31873\n5456 11830\n10025 23643\n5347 21959\n20332 34134\n12562 38229\n32723 48289\n14189 42619\n25700 39867\n2985 19942\n5045 44187\n5470 19769\n8637 34024\n2172 23004\n10312 14434\n40119 44118\n12229 40994\n607 20829\n6185 19773\n25027 38711\n1438 35625\n22445 47565\n316 12362\n12586 25666\n21964 35012\n37969 38812\n41538 47881\n5301 32924\n16393 16398\n27969 36032\n2561 44722\n5936 9531\n22618 23267\n1314 25892\n21441 44483\n20554 36098\n15122 18134\n1524 31740\n7063 36219\n1451 25398\n2708 20205\n40371 43101\n18081 37420\n29644 41018\n19308 20548\n2170 39443\n35827 41241\n21746 25061\n39196 40097\n13148 40085\n25513 33188\n14683 36938\n18446 41130\n12255 41223\n840 42469\n10755 25652\n25890 36304\n36942 48449\n32100 34295\n34618 35046\n1828 42690\n19104 46534\n39828 44020\n14328 16492\n35182 36988\n2248 34633\n15129 28486\n7513 12559\n12366 21819\n19484 45124\n8757 28762\n28555 34695\n30698 35499\n2326 41815\n7509 42141\n14181 33355\n1983 7716\n14744 35498\n17066 19713\n40528 48041\n33522 47009\n17381 31688\n30653 39528\n19027 38840\n11741 37866\n15061 22558\n37340 48330\n8989 39486\n21572 42863\n12274 46959\n224 22516\n4613 7645\n26956 40927\n26853 37629\n30153 38734\n32654 45533\n27804 38240\n619 30758\n17092 21735\n10035 23733\n40937 42328\n12914 31842\n11900 48488\n17072 23252\n1434 25717\n9735 13467\n2193 26203\n28232 29196\n8274 23586\n28026 47621\n30621 33873\n4765 40954\n11158 19170\n857 12039\n15278 33160\n35318 41262\n6757 48087\n3490 6140\n6694 43837\n22737 33604\n30257 47297\n7076 43545\n9565 37352\n24398 35870\n7997 11449\n39516 40949\n11069 18746\n31461 41182\n5800 13757\n9075 29210\n2334 21870\n5845 44267\n8630 23128\n8644 32720\n10866 16991\n35100 35517\n75 19998\n13410 25084\n5152 9493\n24615 27243\n1935 41866\n942 44029\n6824 24929\n3225 37920\n26667 30041\n27354 38764\n25585 37387\n27382 30291\n7200 40960\n4546 25412\n31842 41441\n35200 35280\n7169 36924\n3045 3165\n36562 38728\n4793 24883\n14522 16575\n12848 13352\n13467 46069\n6911 35651\n4087 42299\n13303 37928\n450 34497\n12581 32027\n695 8048\n27843 45735\n2531 16300\n31130 45578\n3012 38522\n3149 29852\n117 10322\n2287 2979\n17375 34607\n1694 25671\n7301 44811\n1284 36973\n15855 42665\n1820 39779\n14390 28492\n42061 45579\n7071 34395\n21723 22237\n25730 43544\n12659 36419\n15348 28430\n32210 34137\n13042 19404\n5583 32119\n43415 48531\n9389 16363\n10455 30421\n24597 37606\n8607 28604\n12763 42570\n2174 22906\n4525 26591\n2543 19940\n8894 43641\n7674 24739\n10692 18388\n29710 35813\n20659 36081\n16665 42592\n19791 24885\n6668 7599\n28546 32595\n14131 31509\n21007 45585\n2757 22175\n38241 45409\n32709 38793\n18119 32909\n2391 3366\n1228 40878\n9618 17581\n17411 40821\n17072 19573\n29266 48151\n36815 39600\n8410 18416\n37204 47260\n32631 39503\n28410 46754\n7620 14741\n46812 47556\n18132 21434\n12749 35609\n1048 9619\n11442 30853\n41103 46509\n13629 42609\n20466 41663\n41970 48420\n1130 7632\n12865 35221\n12172 27445\n15980 24431\n11280 21621\n8969 13624\n29931 37401\n12935 19256\n38343 45801\n24183 34156\n22969 44382\n603 19369\n9971 38529\n11760 42554\n7793 38707\n27505 34538\n7826 34623\n5147 31196\n16425 25618\n17230 23226\n10880 15281\n18293 29806\n26768 38336\n19692 21984\n31757 35121\n19809 22608\n2310 17659\n24126 46044\n1506 7675\n6642 46177\n2914 23706\n14044 27745\n68 3009\n34704 37973\n12207 37834\n24913 39870\n19889 38376\n39450 40121\n16206 42401\n2224 31352\n16166 38806\n2525 38336\n2881 44292\n2662 21760\n2127 29716\n35692 43034\n15019 47389\n12162 25069\n1627 13625\n7385 23135\n5769 43666\n14129 23198\n27411 35766\n16992 34264\n14358 38983\n8342 41941\n3505 35573\n35474 39736\n8823 43024\n12735 38906\n3256 43756\n43373 46955\n5875 21741\n27687 41648\n41192 42011\n4474 47467\n23217 40780\n1321 44696\n11060 30539\n28279 40670\n14133 20991\n1927 3524\n22226 43009\n26353 29832\n12588 36053\n10431 23717\n7324 31003\n5332 44197\n40997 46578\n42382 45109\n24702 46926\n8221 37683\n2984 33867\n10317 16216\n24393 38786\n16824 24359\n12716 47891\n13137 42186\n21773 26799\n25530 35706\n36162 37494\n36417 44905\n10142 29599\n45488 48283\n34368 41756\n39750 46493\n1541 7794\n10515 12317\n42850 44212\n13400 27119\n14553 48375\n10123 19402\n7401 41255\n15518 16964\n28027 33249\n2747 21012\n4614 37195\n28056 35294\n19813 35367\n19572 25367\n18734 48107\n16824 43048\n4345 4452\n36859 45323\n43327 46448\n9973 27549\n5914 32562\n1991 39418\n12626 20852\n11674 13227\n34660 37850\n18623 45354\n18081 21667\n6781 40091\n11470 13215\n38788 44719\n1628 13451\n1060 24666\n6221 32853\n32550 38012\n21736 29955\n29376 47609\n19794 41345\n3570 6765\n19732 34913\n23025 30840\n6119 14474\n30265 31619\n14961 47362\n10461 23089\n14435 19880\n10821 16303\n18551 20764\n8269 11120\n17982 31717\n7426 26701\n5513 29648\n12887 40169\n43117 43204\n13821 46549\n15262 36323\n18737 25749\n18630 27524\n23682 24958\n363 20221\n29775 32811\n8729 23040\n259 20058\n11987 36766\n11249 27010\n12695 46502\n6933 45483\n822 16778\n10297 11047\n12725 16075\n29319 40577\n1389 5457\n7062 37388\n5921 9348\n12623 37074\n715 9956\n4572 7221\n18982 19949\n11272 48645\n25756 33622\n34405 39993\n7985 11972\n16985 40145\n3098 24179\n2699 7357\n2630 38650\n14382 48427\n4417 27364\n6103 10889\n18173 29638\n3601 42272\n15399 46285\n8734 40027\n7671 23571\n20882 22486\n2024 3069\n32999 48061\n22131 38176\n9184 13522\n21957 46605\n15793 37435\n12690 39335\n5531 41177\n19349 45493\n1432 30558\n4841 24384\n6670 32550\n3569 29647\n33213 41242\n41630 44097\n15784 30303\n30574 36540\n18412 35043\n28602 38803\n8402 37388\n19490 38139\n12309 43729\n34762 39554\n18270 29349\n45826 47028\n25683 39637\n7599 20299\n3577 21558\n27664 29843\n8540 29850\n244 22558\n1013 29593\n1317 5818\n1384 2262\n1603 8209\n1531 5550\n10374 47993\n12257 17381\n7401 46393\n17697 21024\n12193 48007\n30163 37780\n4250 25296\n6548 12167\n17638 33901\n23890 37344\n11397 35207\n17763 40748\n4551 9014\n17364 36378\n23135 25694\n4790 14024\n9238 25126\n23511 28162\n14538 43267\n6532 16224\n27425 39330\n20414 44601\n18878 39588\n10151 40905\n26559 32976\n2070 37959\n15654 45836\n14071 29932\n5481 31133\n32373 34550\n12940 28858\n28737 45864\n18121 44005\n563 31525\n34994 47153\n34485 37170\n2746 33343\n10904 20686\n28025 47997\n27978 31066\n2190 10436\n25297 41415\n36074 43563\n8256 13923\n8733 33671\n21873 30994\n18638 25284\n30201 37922\n46348 47076\n10204 19654\n1921 16896\n21923 35117\n21288 44696\n33465 45953\n5629 19004\n33077 35514\n29049 41420\n28977 36687\n9323 13220\n8845 44164\n4966 27189\n12049 21893\n20124 48333\n29745 47076\n13403 26196\n27543 29188\n17191 30773\n6452 8068\n35632 36812\n33028 41980\n21724 44038\n12655 16996\n31974 44382\n3625 28062\n14807 20095\n12672 20825\n39160 46654\n29455 34065\n33057 41372\n26325 38213\n22605 38245\n20879 35253\n14933 21233\n21266 37714\n3117 13466\n42739 44767\n23311 45795\n23369 39926\n13180 20908\n3366 26165\n4508 42467\n736 6729\n7166 32315\n4181 19263\n4846 6256\n33178 46295\n7970 19651\n41495 48195\n12687 36572\n14058 28854\n35895 42037\n28191 33217\n19526 45920\n24525 42439\n11289 19921\n13483 46424\n10566 16960\n29615 43258\n13123 18329\n28378 46963\n2643 34469\n2132 34185\n6350 38767\n3443 6541\n34047 42776\n19386 19774\n7355 34637\n32926 43004\n3864 22753\n1382 7337\n21030 42706\n28770 43602\n13918 20192\n16907 25617\n39756 41539\n1659 37776\n3907 45086\n20491 21674\n5682 29261\n28753 36653\n6563 19837\n3607 25950\n14899 25509\n5337 17775\n5047 43511\n22033 40268\n18087 47065\n17590 41987\n3652 18219\n7526 23160\n26 40185\n3720 15990\n9279 35301\n29998 44718\n5670 31000\n21026 38634\n7570 18690\n601 33560\n18964 25507\n19964 25258\n3288 44537\n9285 22912\n14217 17468\n30815 42391\n14476 27923\n16463 42596\n15070 41395\n28593 36818\n14753 43602\n17780 24939\n3402 7398\n26210 38320\n28083 39997\n13338 43135\n9759 32225\n8429 22339\n8306 14967\n631 29863\n5034 19213\n11585 36905\n7229 8107\n1692 7749\n8238 38338\n3633 3671\n6771 36463\n13815 27088\n20564 30913\n2444 44800\n27326 45158\n17885 40362\n3703 14913\n32369 36098\n2594 9089\n7243 21681\n20214 38797\n17421 35649\n6473 35255\n7405 33725\n33163 39267\n7187 28819\n25487 27733\n10947 16320\n5795 34204\n1649 23542\n10260 46097\n14677 27762\n8705 44358\n5706 38665\n3681 36291\n11826 45518\n20996 44206\n34937 47483\n11042 27217\n1366 30363\n39693 48332\n10498 28994\n2908 20560\n14690 16234\n7561 38581\n23167 30582\n11221 47130\n2229 43009\n18956 47336\n34722 38213\n11589 27497\n8031 24186\n27977 30733\n3438 23880\n1304 36936\n18991 34085\n17788 29391\n7799 13629\n38946 39767\n1884 10208\n17741 32436\n21740 47725\n10180 45092\n41225 43464\n32814 34760\n7677 24077\n9824 36302\n11603 44759\n12416 35251\n14012 44189\n177 36699\n14540 41492\n24050 34846\n14792 23714\n6537 9188\n16206 16563\n7240 17437\n37316 40988\n7051 32804\n22498 25013\n16771 45769\n64 48152\n5328 33073\n17973 36082\n5216 46997\n18351 45465\n1461 14983\n31940 35680\n324 47649\n4415 27173\n26314 28692\n5181 43107\n39916 47052\n7747 26431\n17154 21827\n30273 32736\n9883 34326\n18691 44438\n686 31749\n21568 28880\n27372 31652\n9388 20715\n27634 46768\n26170 46991\n20136 34556\n13279 39348\n12558 16112\n6296 45008\n10688 13328\n28352 39322\n21743 28691\n7640 20432\n41209 43597\n22600 38633\n21523 43728\n41819 44395\n17621 19303\n17971 41600\n28019 29656\n7397 11296\n12165 17082\n37340 40694\n11724 38304\n43058 47934\n211 15846\n27601 39323\n39158 43328\n21682 46234\n3595 18096\n22352 43465\n20816 25115\n32777 42778\n4746 39776\n17841 22440\n14515 33028\n7382 43544\n27063 40900\n951 24508\n4279 23749\n2065 6444\n8533 10243\n30053 32465\n14321 30290\n6678 28807\n28544 39357\n5302 30442\n7673 41639\n18315 31570\n13796 29285\n266 32524\n13789 44671\n9074 27481\n37630 46533\n2317 9942\n7956 27684\n3881 21199\n5009 20487\n6420 21975\n9630 46540\n23196 41727\n17768 28219\n35759 41279\n13139 42447\n32332 47714\n4318 13961\n34800 36576\n16395 30696\n286 18589\n5101 43402\n15153 33324\n12079 40941\n10300 10532\n13004 31188\n18449 21108\n12738 25648\n21593 21964\n29244 36117\n5690 16472\n3487 16879\n15757 46620\n13382 41627\n10733 21722\n24101 40935\n26587 43418\n883 19744\n519 16237\n23334 46905\n34137 48311\n5472 33700\n11066 46922\n12862 33060\n21178 39106\n32315 47968\n8844 22901\n4686 33298\n32430 46151\n3892 23316\n44771 45039\n1833 5468\n2475 25785\n29421 34053\n20863 46744\n17541 43199\n40474 48637\n5934 31991\n36495 40628\n5477 7562\n28355 47870\n33171 36364\n28070 35817\n35230 41956\n16819 39108\n11724 17022\n2361 28637\n10926 19045\n1479 32752\n44091 46289\n28651 42368\n28900 33066\n7639 24111\n34820 47907\n1346 10787\n4066 21658\n10355 40769\n9235 16652\n11972 44988\n15511 36812\n20433 33002\n24516 40484\n24589 35991\n7543 23336\n4344 11597\n2875 33812\n39748 47476\n31320 47249\n33992 47909\n19328 35530\n35576 46007\n28447 42183\n21277 26612\n8829 22934\n15400 32756\n31618 48545\n19622 30109\n36842 39910\n23417 37296\n30069 35228\n1266 12534\n18645 33951\n17717 46131\n23726 39892\n22393 36925\n33458 44506\n4966 12188\n26595 42612\n18818 37973\n4836 19312\n16195 16576\n16234 26420\n26387 30382\n10575 30290\n526 10542\n12897 23489\n31958 43103\n32592 39119\n7135 38334\n19684 46627\n18144 37065\n25383 26166\n12478 44660\n16497 20374\n17898 28145\n30613 32417\n26146 41444\n11171 45828\n32400 41950\n21746 41620\n22455 45736\n21646 45772\n10336 16539\n14378 33769\n1887 37037\n23992 25440\n5728 47512\n20908 48283\n7292 38211\n5107 28153\n10953 18468\n31323 43972\n20454 40974\n27011 33363\n11504 45952\n6339 6443\n21811 23725\n22431 22995\n5062 37161\n8182 8424\n9520 45199\n5475 30216\n4598 5847\n14331 15370\n46173 47376\n6645 26399\n33091 44389\n23877 33917\n25309 28922\n36599 47658\n21961 41211\n1634 23964\n12451 18946\n43823 45308\n28503 41823\n34721 47493\n19254 21077\n31418 44979\n8188 19838\n389 37078\n9732 39520\n10435 22225\n15058 48593\n4061 22930\n5146 43586\n29153 41596\n1933 16915\n13542 14078\n6046 40783\n33283 47090\n39606 47328\n8476 38285\n15451 15611\n5613 28759\n6349 39163\n27150 36634\n4823 45447\n35279 47166\n31637 35198\n34333 38609\n7447 28738\n15582 38058\n27898 38508\n33668 41522\n4085 40899\n25284 43588\n16430 23763\n5343 38361\n23440 42520\n23463 33340\n37841 44383\n13175 26145\n6689 7648\n17858 34207\n9010 46272\n2223 45853\n9909 28610\n1428 40586\n2788 41686\n6491 34441\n14810 47474\n4354 33910\n271 17502\n4189 39797\n16187 20823\n8465 45306\n1277 36964\n9625 45434\n18519 36255\n8216 43737\n38113 42583\n6390 46231\n24150 26663\n4862 34595\n21077 27432\n2749 22184\n6568 42755\n11028 13108\n17914 32473\n12386 47467\n9796 42431\n28375 31510\n2939 18781\n22436 31647\n2159 4880\n18239 34253\n11046 25536\n22564 29511\n4315 23223\n1417 35457\n14394 26511\n1381 16810\n8586 41563\n17551 48302\n45504 48026\n5629 44715\n16484 33115\n21401 39211\n30078 45823\n18808 47480\n14276 24734\n209 25169\n9104 37200\n14961 22701\n19193 41087\n1656 39225\n1820 37223\n21067 47240\n7032 17823\n25147 34258\n5479 43891\n21650 39482\n38550 43519\n25568 43229\n3030 32851\n36374 42910\n23025 26617\n18160 35452\n1718 17077\n25598 45032\n24731 32013\n5803 13489\n15745 40356\n8420 19370\n3216 47487\n7863 29289\n4772 33249\n19357 47804\n28580 30202\n8921 24571\n11668 18247\n12723 42856\n36083 43131\n16097 36026\n6667 12567\n25279 45097\n3839 31792\n22392 35493\n664 43981\n7998 17125\n2501 48402\n15975 35670\n40939 42025\n9732 32041\n40294 48058\n5400 30624\n4599 31224\n2602 6316\n23938 39571\n15731 17824\n38758 46449\n40661 44826\n3061 41982\n83 3184\n4328 22525\n15200 16663\n27689 44430\n8666 36811\n29555 39278\n7468 41366\n1985 4061\n8725 21328\n8670 35919\n38206 39320\n5308 8396\n14484 15366\n336 45407\n30392 42125\n9556 14171\n4591 7439\n6948 12032\n6150 9546\n7511 25546\n19187 45034\n1021 43821\n31212 44898\n12398 15226\n10060 46938\n24876 29810\n6797 41009\n6173 23034\n17309 32451\n27737 33905\n10865 34024\n14574 45149\n9561 47758\n24535 31692\n8943 32492\n36508 47324\n10707 25481\n17818 20063\n3696 24451\n7817 25882\n36248 37090\n1475 48349\n44871 47428\n33447 42559\n5223 7155\n27048 38059\n8864 31716\n21480 43255\n13162 28364\n7540 44310\n18792 34997\n3698 31906\n19590 47570\n8407 16948\n6471 33376\n2255 29446\n38670 41913\n37796 45645\n10437 48434\n7368 27145\n5640 14924\n19043 37339\n30220 41176\n18849 35416\n21278 26859\n13564 22871\n16021 36029\n9454 47799\n5064 7644\n14715 44603\n2309 44065\n6434 12543\n28422 40528\n4464 28000\n8855 40972\n14267 15952\n38243 46778\n15984 20422\n33877 43502\n20255 36044\n6857 11646\n43302 44444\n6864 47334\n8183 24919\n25291 44174\n24486 30300\n8457 46713\n35802 46707\n28996 42192\n22637 41491\n19079 47007\n17543 44007\n6629 45487\n13469 24928\n5773 32485\n1528 47517\n22040 36396\n41614 44066\n10664 22144\n15529 25229\n24844 30279\n1709 38849\n16188 46391\n1640 3381\n4218 24567\n15855 25516\n20245 39621\n25230 41800\n3602 41643\n7249 8047\n2503 46536\n3903 9968\n2804 45385\n7891 36506\n38127 47947\n4537 37137\n7881 21696\n26469 33885\n31085 32340\n23721 28153\n695 20549\n787 3033\n16277 48605\n29110 42393\n41552 46498\n4396 19573\n19284 36564\n7723 14422\n8265 17869\n28347 48157\n34669 41833\n4146 24345\n11839 15518\n4131 39064\n4474 35298\n16927 28544\n2551 39891\n43297 48488\n15809 19191\n41631 43968\n12008 31025\n19844 31672\n3382 16437\n8663 20873\n13539 14687\n31090 31271\n7945 28497\n3434 8833\n12658 47338\n22504 35181\n234 40290\n20992 33662\n9109 29817\n3371 8965\n8421 46847\n9871 13899\n38840 48462\n23759 26016\n8776 37343\n15954 30367\n5373 29532\n38864 46675\n16177 22812\n340 35528\n30777 48111\n20689 35209\n42919 48211\n28653 32435\n30092 35979\n17324 24789\n18394 25872\n8637 25913\n18858 40887\n35844 38956\n30325 36118\n16215 18184\n13649 14455\n9684 18714\n44 40256\n30029 37228\n8670 29347\n8005 10128\n4609 24404\n457 42069\n17233 36875\n6305 35497\n478 43487\n34989 46422\n22847 38917\n34176 44192\n6171 41785\n5237 44291\n14487 22687\n18746 43755\n38826 42772\n15286 37975\n20847 36777\n30945 44737\n802 1068\n26380 38639\n8327 31085\n39974 43211\n895 13454\n7483 29851\n4068 31592\n4252 7358\n16288 40008\n12834 28800\n8381 17971\n43386 46187\n3553 42014\n19113 46625\n27251 31492\n11589 37007\n1250 20559\n22594 35456\n5401 24483\n28031 38138\n12250 36380\n20081 22385\n9613 25002\n12441 17969\n25083 27383\n23677 24781\n21890 47378\n18756 23142\n13231 43187\n15258 30463\n20378 35671\n22445 47187\n23497 35164\n2532 45341\n9629 20051\n188 25315\n19456 30452\n6121 41097\n9938 16011\n135 8725\n4656 32755\n9759 14606\n9547 16677\n537 7222\n8475 10191\n26066 31752\n1925 15019\n16779 25989\n36338 43123\n6113 27206\n40843 46742\n22232 46017\n2546 9489\n31703 35775\n3218 28802\n1634 42641\n3093 23876\n14862 36352\n16419 16652\n15896 31743\n28537 41699\n806 16961\n5194 12952\n2422 4724\n23797 36213\n18569 46251\n10944 48350\n28734 44585\n15971 47090\n11195 33853\n23880 34175\n21983 35673\n16547 17487\n6445 44979\n33349 38846\n10047 30802\n17807 38838\n22510 22704\n20027 38336\n29804 46941\n6009 27609\n5137 21222\n9354 14590\n20433 20599\n11641 31481\n10807 33164\n39575 47794\n34544 48462\n9445 40356\n11893 25103\n23033 44854\n18494 43896\n13042 13516\n9459 47597\n3487 47351\n24595 31761\n3946 14742\n11691 43747\n14101 41980\n1171 20648\n26529 31088\n2465 21372\n14333 31894\n2551 38582\n8582 20139\n10497 34816\n44978 45353\n21735 32766\n25908 35138\n16343 30826\n25745 34131\n20363 41591\n3754 10813\n10600 45255\n10220 26312\n20721 41773\n2253 47204\n19114 47926\n15022 19965\n44206 45035\n17123 33848\n7862 37120\n27020 33403\n28777 46378\n4234 22713\n3567 8820\n26862 40218\n35599 40010\n5783 18743\n30727 39869\n29576 47130\n17062 21051\n43260 45461\n12554 41265\n23063 48351\n12785 45984\n3723 10568\n9839 27381\n16609 24605\n11405 44836\n7209 11056\n45619 46173\n31749 32722\n34885 47885\n14662 46219\n21478 27812\n32079 47089\n33413 43407\n8455 21130\n12190 16560\n873 8777\n7992 27627\n12397 40083\n22175 33490\n7438 19855\n3220 12483\n7109 27060\n4659 20754\n25525 36225\n41629 41820\n1905 5870\n29287 46845\n3846 45227\n4746 23471\n1060 27832\n13429 23281\n20319 27070\n17782 26338\n4736 38493\n36121 39800\n10621 43902\n34664 39303\n3585 19096\n27616 28404\n21819 37302\n1262 37889\n22292 27072\n9315 22250\n5091 5143\n5408 37065\n16695 42448\n4831 16443\n24754 26890\n6565 41869\n42277 44549\n27356 34716\n3885 20258\n18822 20179\n2712 39335\n35792 39633\n12950 28532\n1918 27380\n427 18518\n32796 44995\n10403 42449\n29165 33692\n6677 45320\n8180 38926\n18767 28826\n26916 33823\n6064 45666\n8119 44731\n18382 34684\n5418 36432\n7907 42690\n1350 4122\n5075 38457\n22545 46202\n10334 34980\n6639 18260\n17830 34423\n453 19497\n6500 25264\n37939 42403\n45607 45969\n8542 29569\n10880 21175\n18314 38396\n41650 46860\n19648 46727\n6030 8071\n25727 34560\n14934 26432\n39029 40944\n17108 36443\n3648 43201\n14076 27735\n10322 21538\n28562 42736\n16148 43693\n38629 42668\n10409 34251\n3001 19951\n18706 38728\n13424 48288\n28247 28537\n15129 18735\n11137 25881\n38856 44619\n3359 8339\n2778 45134\n20658 35350\n40420 44420\n15985 18902\n2019 29546\n28411 35107\n11384 21287\n21844 27957\n9229 42751\n34831 45530\n41827 46300\n504 36845\n15724 45783\n28435 30232\n3885 9226\n17227 45452\n14536 46888\n20299 32888\n29713 38434\n16310 18356\n27712 34379\n10355 18207\n34819 47270\n2124 40764\n243 17396\n204 47366\n4567 36238\n18181 26785\n39178 44192\n19262 22295\n4773 7357\n11608 20493\n22125 26482\n18400 28902\n29498 37809\n21699 23409\n21564 36370\n16800 39382\n21847 24154\n7105 29398\n964 10081\n8402 9750\n19309 25877\n2318 17649\n22474 48152\n18161 23811\n18870 38226\n33412 44847\n2322 39434\n32475 40318\n2668 6135\n13605 39912\n23613 32734\n21421 39127\n3877 17095\n9062 35978\n8700 17322\n26717 45258\n28725 43786\n16762 20668\n27512 39375\n12904 28126\n23669 26796\n28787 34577\n33406 48356\n27797 27905\n1247 11347\n29849 36321\n19991 31567\n13461 16482\n24232 34146\n12868 30166\n31181 47739\n13216 40339\n9847 11767\n22604 41037\n21785 32067\n6122 39716\n6824 19922\n14712 41195\n16146 39137\n2806 40782\n4120 42218\n3636 11139\n17098 34517\n11134 37867\n12795 31643\n13057 20212\n35168 48460\n10091 21106\n560 37750\n25350 45115\n10835 39206\n23420 45268\n7974 16000\n15031 31029\n31751 48327\n13288 44132\n37663 40719\n9740 39976\n2794 23443\n9302 31625\n31351 33184\n2653 4572\n28046 42699\n33210 46724\n22925 38233\n42529 45995\n16258 34234\n21494 23554\n22710 26097\n18957 40868\n23094 28243\n4804 27799\n17384 30265\n26123 36654\n13630 31379\n29155 31494\n20227 38199\n18436 40405\n3019 10859\n11567 46351\n39671 43464\n23395 33803\n14474 38528\n10160 41123\n4051 8840\n22240 43108\n8372 30886\n13800 46228\n29857 34837\n39787 45370\n5612 44803\n26209 38494\n17608 21731\n33052 36201\n29791 48630\n14407 14779\n9663 34740\n31680 34995\n14892 42592\n10670 36056\n25857 27473\n10871 33008\n31462 33078\n11056 25888\n25972 35423\n6791 48287\n28671 38354\n1961 20555\n18526 25093\n17218 18638\n45252 46653\n20680 30223\n600 22920\n31520 47634\n11405 43055\n33309 35107\n14434 32009\n45078 46310\n14643 18660\n8418 41586\n24957 42153\n27778 45998\n19888 36536\n37119 47775\n8074 47200\n6336 36752\n1958 40107\n15920 16210\n216 24650\n9852 30830\n11852 31075\n20526 45271\n5680 16218\n28882 33388\n39767 47289\n11803 39262\n3557 24002\n11079 12038\n17283 38059\n15244 39751\n26436 32883\n18651 19555\n14798 38050\n3082 22274\n3485 22666\n27958 37192\n13999 14788\n15982 43664\n13612 20915\n39136 45427\n4303 5195\n24784 47433\n6267 32459\n4901 24265\n8832 21629\n8697 26541\n1368 20453\n14770 27595\n12619 18464\n2571 28585\n23578 47939\n31305 40035\n6196 12979\n6531 15902\n1441 33877\n25784 44857\n34602 46825\n18905 39553\n26854 39888\n26608 41812\n8356 34626\n3412 14007\n18345 21666\n39023 46802\n31242 32202\n33782 41740\n9210 14164\n7961 23198\n29958 29962\n21412 22975\n44067 47814\n5678 8513\n4836 10291\n9781 45514\n23439 41765\n39651 44906\n8491 18323\n4134 9807\n38493 44349\n16568 45084\n5176 35946\n1057 20878\n19465 41535\n8903 40030\n8532 22692\n18785 34170\n4474 26501\n8904 46210\n14051 29225\n4588 32238\n2673 42440\n16519 40307\n17835 20540\n34734 42804\n21678 44083\n12892 18733\n7958 26134\n16019 17211\n19893 23105\n2229 9629\n1887 20776\n12676 39193\n39039 48358\n41895 47192\n27438 37908\n17538 17818\n29774 35888\n43427 48186\n15208 19292\n13379 37761\n37947 46727\n7901 43630\n40231 42098\n7644 42565\n18129 34114\n14281 16612\n11349 20551\n2024 4297\n17833 34278\n3084 36241\n19185 46868\n20968 29371\n17216 40549\n37630 44698\n19313 25101\n16573 41558\n11018 33946\n30516 34544\n30709 32425\n7567 12353\n21434 48654\n30845 45769\n8211 21331\n3192 9238\n6736 31496\n41521 42725\n8783 40269\n11552 20217\n1707 8670\n5144 47757\n4164 39085\n13998 14082\n6706 22892\n5874 6915\n10871 30680\n8067 12856\n1466 45743\n16112 25040\n15373 43480\n31527 33177\n7801 15537\n6658 15438\n31775 39902\n15888 40773\n29483 44435\n15666 21701\n7427 21639\n17656 25345\n3252 14647\n9893 39699\n24640 34272\n34427 36038\n10854 36140\n24910 32584\n40650 42578\n3320 19557\n2795 3370\n30311 31140\n16510 21837\n2928 29680\n7994 23311\n6014 19393\n9806 17379\n34614 41651\n43000 48057\n3054 18943\n27427 28234\n6217 41687\n9674 27517\n6595 19350\n11275 48180\n9229 9911\n26226 44446\n3317 9608\n10161 26625\n10428 37645\n15806 21265\n3563 9410\n22887 42537\n12017 47098\n32696 44296\n6880 14958\n4202 35893\n8787 31195\n16527 34061\n21609 36580\n2391 42625\n11873 37599\n2353 8784\n9761 32123\n23492 47761\n2710 24598\n7482 33359\n9834 20179\n37117 40702\n16495 37722\n11622 28718\n3504 20063\n13484 18518\n11182 22069\n9636 31287\n36976 46581\n10393 47431\n5153 13253\n26987 31530\n16300 27523\n16838 43115\n353 42868\n17465 29600\n684 15104\n3896 31235\n28675 46055\n1273 46817\n4084 13353\n30969 43160\n14291 43256\n3707 17306\n14268 48467\n40747 45952\n20186 27064\n10017 22110\n6869 14788\n11451 24847\n16212 43812\n1138 46833\n8883 25217\n33882 38605\n23875 38602\n20965 38668\n3756 38830\n9360 23364\n9309 9532\n13758 17691\n38252 42640\n22763 29144\n21091 38502\n21347 31659\n12476 37067\n21982 23978\n29121 33429\n5565 35631\n2955 7678\n4151 6205\n7515 48095\n7613 44092\n30740 45784\n33275 43673\n26642 45419\n40914 43108\n14328 27918\n96 28060\n1081 13664\n28995 45680\n15416 29742\n6629 27812\n1862 46699\n7232 36060\n41310 46119\n1209 47149\n196 48577\n27890 35551\n35155 39460\n20361 33150\n31486 38540\n26488 36520\n26686 28533\n37071 43524\n18539 34105\n18746 41632\n16689 17628\n6822 9138\n42918 47748\n39417 40446\n18434 47204\n17011 44774\n25005 34840\n9670 17693\n13127 29861\n13194 47490\n13561 35887\n40292 45663\n12949 16444\n2609 15743\n36086 38182\n4304 7834\n8235 25544\n2810 11884\n1706 23812\n20606 29022\n6257 34263\n16044 30797\n19494 26032\n29661 41287\n36148 48041\n31269 46224\n40409 48261\n38223 48474\n8702 12582\n4206 7357\n23908 41574\n41800 42162\n19403 29055\n18574 38016\n24233 46956\n2347 14838\n19243 41406\n4656 17312\n1555 35422\n3977 16103\n28732 34058\n30263 45253\n2800 34924\n3797 33879\n11481 19510\n26281 35369\n7978 46108\n11387 26181\n21481 31726\n11524 41641\n2216 6789\n19371 21875\n3738 23512\n29846 42315\n13130 23762\n8373 27421\n13474 40235\n7408 29629\n21394 41027\n36289 39867\n8724 18716\n19357 41846\n2846 19281\n22709 35179\n2657 45079\n19248 26092\n3442 48154\n10051 10061\n4361 21082\n17785 19996\n527 24302\n38066 40379\n3479 27793\n1314 24416\n28743 34066\n33423 36288\n7550 14324\n33237 44528\n3860 19739\n5820 30658\n1803 37142\n5538 7109\n35268 47899\n1074 28114\n5668 15736\n4150 35504\n3810 31904\n1854 21654\n26225 28892\n22826 48386\n2988 18736\n27873 29558\n25620 32754\n10273 18035\n14219 26941\n7595 9146\n2277 43245\n26045 48000\n6451 47447\n26681 41694\n20513 26246\n2408 36631\n7478 39365\n35739 41378\n23887 37833\n10236 12110\n796 12743\n22654 28096\n17680 19660\n27079 40766\n18282 34423\n28977 44881\n22532 47342\n18823 39965\n24688 25861\n32074 32527\n20796 37057\n7904 33292\n1645 37063\n472 17734\n18390 28539\n24191 41441\n18607 42975\n34211 46478\n4288 21560\n31517 31579\n469 2444\n14659 44015\n20253 29021\n11504 24001\n15 45416\n33712 38028\n21728 47408\n9184 28387\n16342 22287\n32461 32529\n25485 33802\n8624 9622\n9119 20351\n5483 25625\n7894 17098\n12081 18816\n9920 18912\n28642 46487\n15077 44008\n9237 47759\n25427 30269\n30913 45110\n22263 37260\n13972 32921\n10007 37078\n6864 40063\n14581 41220\n18530 35132\n12867 47941\n38793 48035\n9074 16302\n19928 23979\n6721 37008\n2664 21081\n21826 27138\n13141 27116\n8111 10538\n14840 21963\n29286 47699\n7923 29564\n6311 43927\n30476 37660\n30032 38581\n6957 44436\n1238 39582\n6633 44073\n25534 27421\n3166 43334\n13617 14862\n2000 14945\n25817 28844\n36267 48081\n21068 43940\n17551 36929\n6666 38868\n18169 39407\n25853 45362\n1457 17508\n23434 48621\n28120 33979\n38861 45831\n22327 23047\n9168 16367\n46181 48325\n14297 20371\n11537 19184\n27978 29528\n5169 21831\n11591 45367\n11579 41999\n25984 47056\n10082 21055\n31128 44430\n20205 22272\n44561 46185\n4938 48643\n13094 16391\n40281 42315\n34211 44865\n20314 36960\n19046 34656\n36568 41801\n4509 22607\n13701 43108\n14427 19769\n11243 39285\n37833 46498\n35976 42443\n9613 18378\n32137 44574\n8118 37231\n20620 34485\n21923 34834\n15744 45435\n26998 44659\n817 28440\n45801 47688\n556 40271\n1833 19082\n11041 36058\n4394 23930\n9555 23268\n23100 33266\n12430 13575\n31677 35853\n1813 39742\n1634 41239\n17801 44354\n19742 26724\n34331 39722\n16539 23274\n5038 31375\n3537 27352\n24489 29372\n2227 7437\n6247 22103\n2814 21916\n3141 37368\n2250 18977\n31522 34947\n15297 44551\n43687 43715\n4171 30376\n5384 18724\n8286 46690\n31658 39185\n2519 30010\n13929 26111\n3503 38003\n18818 34394\n16050 43765\n6547 39015\n28476 40591\n34311 39710\n4917 47454\n10632 30578\n10966 28007\n12826 32097\n43845 45921\n34983 36479\n684 1924\n27285 46575\n20102 42744\n1662 19821\n19471 44563\n13486 13512\n10215 19663\n5132 39693\n16862 18000\n5249 26425\n25932 47854\n24534 35108\n2360 15261\n283 42613\n44766 46030\n255 35242\n12999 45265\n7117 16702\n11784 18214\n10652 11165\n41021 43318\n25918 41154\n6963 31339\n30508 31407\n21009 23605\n44276 46338\n1385 6838\n1452 7588\n24419 34826\n10181 32185\n28766 48171\n3023 26350\n12400 15270\n33008 41236\n34540 36863\n30012 33883\n655 8124\n25746 31761\n10469 31494\n13684 23426\n386 46443\n36263 38374\n16222 17877\n24155 25383\n26906 32621\n4161 11844\n30166 38211\n30262 42828\n31460 32856\n14072 36240\n2193 33375\n32911 37253\n5814 16729\n31355 42332\n45380 47138\n25471 45284\n14794 30345\n2358 3781\n13187 37470\n11755 25421\n13410 37783\n37298 43618\n32206 43073\n13252 44811\n1008 2112\n4635 19714\n561 12604\n28405 46481\n30479 32184\n2628 6469\n32126 48575\n13286 34604\n20453 32020\n18278 18432\n26193 33660\n43034 43390\n7666 16527\n9709 44342\n37549 47033\n36565 39475\n17007 44252\n15589 46627\n20686 44907\n2080 44350\n33962 41781\n12814 16003\n9600 9873\n20899 37287\n27458 34344\n6593 44626\n18383 35337\n2323 16926\n12944 27187\n8367 30667\n8223 41643\n12598 21508\n26883 38322\n11314 19311\n24706 34122\n12279 47567\n23084 36209\n24195 40260\n43179 46776\n6904 7031\n6631 17612\n21355 46410\n22868 47918\n11569 17347\n3969 39487\n33255 43414\n38575 47467\n14306 28421\n8512 21391\n3639 40498\n13542 47055\n8357 24606\n4873 47039\n11041 29771\n11679 31239\n2729 47176\n11311 34868\n17763 31379\n28573 46040\n43663 47283\n592 23036\n1567 42744\n14101 45504\n15352 30825\n11888 43921\n30180 31633\n10363 33304\n42500 48458\n21372 36610\n12100 17055\n2343 33500\n9342 42723\n184 45746\n3013 28781\n30866 47914\n2310 41786\n19174 20545\n23535 31897\n12308 29294\n15713 32004\n14271 31140\n7129 16766\n40291 46777\n29644 34301\n16889 23747\n3529 31457\n34214 46225\n22591 22689\n36202 37947\n5482 44857\n13093 44394\n19014 38211\n30336 33445\n21236 40225\n4338 20244\n8437 46028\n1438 36381\n36266 39056\n30993 43578\n17441 23374\n252 25184\n16750 44445\n3131 37982\n37640 39297\n6338 37692\n16400 27027\n45273 48153\n24418 39589\n3454 36936\n40773 48623\n10743 19686\n12820 43883\n997 38601\n16524 28893\n8272 8454\n2318 13236\n210 46111\n6764 39060\n8189 24586\n11239 33005\n2808 12627\n9351 47073\n39472 45206\n8988 40046\n18573 19719\n11226 31997\n19483 43574\n6772 12435\n21578 43786\n24331 46720\n28447 32180\n16874 45555\n20086 31591\n11372 15366\n20230 37637\n32375 43089\n7950 29016\n8203 37328\n6167 20048\n2925 21581\n3991 47970\n22866 40615\n15501 30550\n7618 44753\n4118 32735\n16332 26937\n22384 46623\n9769 45773\n8149 26201\n16769 25838\n35574 43597\n17890 42649\n30064 41263\n10949 44252\n26045 39600\n5475 14172\n6192 16612\n22810 37722\n30857 37014\n23065 36729\n23837 35837\n19547 44595\n11848 33393\n1663 18754\n10841 15207\n23928 27513\n3922 6740\n4162 27831\n9518 34354\n5675 19943\n7724 43859\n41559 47652\n1172 39481\n35311 38995\n20620 30696\n12875 26884\n6916 25450\n39518 39728\n30329 42160\n26267 47645\n31331 36036\n1101 37056\n16170 45638\n3200 7779\n17645 33150\n6834 14585\n24831 35686\n8505 19940\n47529 48090\n22318 23777\n7552 36612\n6499 6631\n6954 13791\n17119 31723\n8935 44439\n12574 48085\n1465 47094\n14848 43150\n22414 38682\n9136 43827\n16584 24008\n2149 24267\n38996 41998\n31180 39424\n32882 40436\n15710 16413\n3610 25170\n44323 45171\n15218 18194\n597 27571\n4566 11247\n10015 21799\n67 43822\n10064 21982\n28084 43839\n3065 17461\n4847 28013\n18503 47463\n4790 38934\n13605 45066\n11689 47623\n11561 23456\n35474 46581\n14042 31489\n45677 48571\n12652 21968\n14921 42368\n21296 27840\n23877 26321\n24779 42723\n12597 19411\n2300 9028\n28107 43202\n367 2322\n9191 28186\n11579 46645\n27420 41736\n17548 25553\n3108 40859\n15665 31527\n18156 29206\n5649 17140\n14109 33482\n27808 48168\n36321 42585\n10765 37019\n24029 33609\n35301 42627\n36972 43855\n7560 15934\n3780 48360\n20674 23176\n25170 30788\n18109 33401\n5921 44460\n4431 16722\n3685 11985\n15736 19336\n39553 45289\n803 7630\n4353 13789\n27648 35571\n18877 44758\n43587 46337\n10582 11197\n10320 11110\n1197 33667\n675 9585\n8458 33864\n9241 32808\n20603 39038\n23276 27129\n11195 14104\n766 47214\n12502 27158\n15689 39771\n16443 32443\n13580 44659\n14338 14623\n17590 41340\n23831 37402\n8689 35839\n3014 29033\n37392 44378\n34868 43353\n23005 34021\n29586 31973\n21258 35318\n34167 45038\n17433 18444\n11897 37381\n36353 39058\n18876 33465\n26991 40618\n19310 26077\n15474 33138\n29254 41312\n15141 45350\n38612 42558\n8289 21890\n37823 39971\n32830 46968\n2116 37917\n19792 38836\n17825 40024\n26470 47235\n22437 35736\n16168 45613\n5081 23716\n29804 47353\n28668 47805\n7830 10265\n18137 20116\n27309 32795\n3871 46816\n22504 35155\n5385 6766\n18258 37682\n14945 23744\n33631 36691\n16940 33175\n17504 45098\n3252 45138\n18295 44505\n19957 20573\n37275 37975\n3221 23378\n20391 21067\n20979 47492\n2187 27856\n8094 24118\n36872 48039\n21192 26254\n9075 28766\n13551 19065\n18484 37537\n20137 28257\n6559 27141\n3353 47520\n669 10638\n3781 35689\n24920 31748\n24418 48262\n6471 28064\n14912 33547\n9269 34303\n18032 44218\n15058 16643\n1887 29098\n9311 15282\n29295 30437\n24397 24791\n47099 47868\n42148 44479\n10039 21742\n42277 42493\n19993 36745\n28236 37506\n27853 46127\n2954 8047\n16301 23536\n12844 19707\n1065 21933\n29968 36005\n14830 46397\n22772 24143\n556 3030\n45785 47174\n6259 23337\n31166 46788\n26501 36104\n23593 42368\n18660 34976\n14993 16542\n20462 24985\n20149 24029\n45319 46983\n17885 23985\n20000 29489\n34675 38429\n20191 35399\n2841 42530\n15146 20459\n7350 11201\n1047 29122\n11808 29935\n31379 37653\n28026 38624\n19549 38913\n17812 43163\n10286 43866\n35298 48552\n44113 46536\n3893 33030\n43681 45983\n12147 36857\n15424 22937\n9602 46732\n38313 47135\n42042 46411\n4571 15494\n5405 11249\n12947 47432\n2850 5396\n26159 31447\n33637 36529\n36481 42230\n29867 38024\n7834 26659\n25975 48015\n2299 25599\n4771 8312\n14343 26112\n4232 15501\n14638 27174\n2356 27210\n24677 43300\n20599 36623\n23546 43091\n2841 19165\n2250 7502\n30618 32845\n8808 37340\n23851 27016\n7443 39088\n9172 11132\n29556 30772\n28831 36640\n5532 40600\n43332 46758\n20015 29608\n12775 23258\n7211 32341\n3576 35793\n18817 43684\n5544 46522\n1952 17443\n40273 45023\n13376 40383\n8639 42404\n21339 37594\n32462 32995\n14903 31219\n5189 41596\n15171 41934\n30676 48075\n23257 38358\n25808 41841\n35068 47810\n8453 37916\n7493 31070\n5901 39436\n28744 33580\n31498 36773\n41722 45957\n4158 23001\n5076 22056\n32277 39026\n42101 45753\n13433 17210\n31513 46709\n14201 18309\n11725 36876\n367 18717\n13110 14463\n3082 5190\n15308 21632\n13946 24187\n15130 30043\n11996 47195\n671 6664\n1512 47335\n23421 35922\n39313 44717\n7096 36564\n2368 37281\n5030 11655\n2710 16856\n16214 35226\n19778 34699\n5035 36300\n29658 31814\n26145 42746\n2260 19134\n23525 31005\n6273 27813\n14082 30143\n20512 28320\n21598 48560\n5626 35654\n11461 41387\n2400 16733\n11773 13210\n20746 31473\n40196 46972\n35455 42997\n37542 46835\n31479 46536\n7848 31256\n14071 28671\n27361 46295\n31742 36156\n33332 37062\n656 36049\n29679 31069\n18184 26110\n25305 37274\n7671 14020\n9657 41792\n19108 30890\n47443 48582\n17738 21281\n11141 34842\n1846 45803\n19562 46650\n3851 36962\n16306 42943\n25218 42953\n31232 36226\n13909 25564\n18626 29245\n17342 43753\n5316 26482\n33121 42908\n7075 42787\n17999 38032\n14108 16455\n15942 19850\n6416 35293\n25111 36620\n14789 16008\n2947 24142\n18038 45557\n8529 11826\n783 28060\n12906 41168\n2429 8833\n25169 43812\n38288 47232\n9796 30759\n32912 36669\n14774 24168\n8349 42292\n721 23618\n11353 27541\n20715 41394\n5663 24283\n12238 28411\n33134 36469\n16590 28808\n32718 37349\n13635 32173\n25661 46006\n8821 11526\n1502 16814\n1678 37878\n25180 35402\n32838 45984\n10580 17924\n9071 38491\n15680 40114\n7376 35570\n21671 21771\n615 41427\n10904 40212\n2480 35371\n24490 26038\n20696 32399\n17419 41793\n6127 11346\n41674 42619\n11436 27927\n16603 37545\n14040 14825\n213 12305\n5015 24543\n14765 36902\n3247 35813\n25197 27703\n10146 22923\n5655 32724\n40561 47816\n10541 19641\n12230 47205\n24258 37860\n17151 24103\n304 4255\n12047 21982\n13158 41154\n25854 27177\n21689 38255\n18904 29430\n23910 35821\n9691 24356\n666 17273\n18572 23572\n23924 27498\n7845 43544\n30264 47684\n160 39521\n7678 22287\n14105 29689\n5696 7455\n10874 28817\n42822 43671\n15519 36157\n9742 37118\n5834 23509\n399 24551\n3484 6916\n33356 35995\n24408 31661\n13642 48453\n2592 29229\n38433 39562\n4775 40751\n36113 41957\n24100 26117\n9714 21433\n41382 48383\n39008 44467\n30670 42885\n4843 47894\n24405 36948\n24033 41847\n10925 45910\n18027 35451\n2189 29906\n6910 45828\n23403 40989\n19202 25284\n19261 22540\n7469 19637\n8814 11947\n19617 46059\n16619 38178\n8028 22492\n2455 25326\n6303 13113\n4156 42963\n29502 37664\n4835 12286\n15858 24490\n12815 24211\n33579 47436\n26564 38701\n12660 41571\n7586 18290\n17293 40079\n7378 16802\n6115 42409\n16848 18715\n22781 36742\n4637 15055\n4124 37361\n1383 17193\n34198 35269\n36541 36853\n24275 37139\n3339 47156\n27596 45700\n6774 34022\n16276 36528\n34833 44709\n10492 31530\n36283 43669\n12509 15148\n38052 43480\n9600 19378\n22436 33834\n13739 22882\n14013 39536\n12232 32839\n11448 21788\n14886 36656\n27380 36500\n29304 33924\n16793 47875\n32839 45953\n5742 21290\n31097 38738\n1283 7081\n24524 38055\n30027 35602\n22275 32202\n8830 29246\n27480 38611\n8711 14150\n10771 44847\n8406 36638\n41461 45629\n15202 40862\n10122 28767\n5942 11961\n9448 22897\n35089 48123\n7739 35441\n2814 10490\n25843 35994\n23701 43615\n29634 34236\n13297 30613\n5015 20659\n9109 26073\n7415 16019\n13298 40331\n290 27345\n41332 42664\n8547 14332\n22789 29883\n13296 45098\n23184 34686\n1795 4988\n10894 29979\n13480 17220\n21201 47353\n18859 20226\n16714 40371\n1067 26014\n3674 43116\n399 46501\n4303 31465\n11783 17075\n30978 33169\n15751 18999\n395 36481\n16490 27435\n11555 14632\n10832 23843\n18019 21234\n14671 31015\n902 34816\n542 35218\n38940 41758\n12613 19482\n11673 39001\n27161 32596\n6966 37173\n7629 32774\n21656 40729\n8873 15953\n25225 38676\n36728 47771\n6912 25241\n18699 36368\n17339 25629\n22243 44806\n9315 27497\n4713 7973\n19640 42023\n20159 38108\n24177 27030\n6205 40343\n9600 37882\n12130 20826\n12084 19463\n5980 41802\n14737 29511\n4829 18708\n33132 41446\n2660 42305\n12494 15683\n34772 47332\n1230 46163\n9961 43426\n6982 28909\n22221 30057\n42664 45816\n20608 40371\n44169 47720\n16050 26006\n25646 44902\n19521 46665\n7237 31785\n4273 20811\n20348 34529\n6469 27562\n4918 20225\n1879 15583\n32358 37553\n32597 47923\n3447 3799\n31805 46530\n21960 47537\n10507 25637\n36874 42239\n2847 19890\n22909 36940\n2631 17686\n37270 40578\n470 44115\n30547 40781\n24446 42364\n13460 47433\n31347 31721\n30087 46229\n258 10497\n29623 32355\n10968 42638\n1274 14066\n9598 16927\n926 1003\n38436 47237\n29751 39610\n25559 28233\n20943 44364\n2088 37842\n11318 48542\n31992 43719\n12512 14694\n17203 23697\n24303 33625\n36677 40094\n27662 29900\n488 17032\n985 2722\n25591 29189\n1977 26400\n30579 48452\n4842 12166\n16025 32802\n11866 27947\n23895 29229\n24747 46851\n21040 30234\n15065 48249\n3696 45473\n5858 29929\n1404 20589\n26965 33775\n39861 45143\n14690 43414\n6575 43952\n12615 12675\n9790 31883\n22806 26087\n3027 35774\n14371 38443\n29782 48032\n34133 34861\n19461 44767\n18830 22225\n27156 48508\n9808 19091\n37055 40089\n507 40662\n6950 12350\n9678 31523\n1576 2664\n4985 10933\n12949 16573\n2462 18988\n28872 39994\n25282 40150\n5966 29193\n16039 18483\n5979 22516\n11887 21853\n15839 43741\n5094 14122\n12809 47346\n15769 34374\n9694 25131\n34086 48616\n13867 29832\n4361 11348\n13573 42643\n21300 35287\n17810 29735\n42074 48135\n39532 47850\n29866 47816\n1413 33212\n13135 44972\n30131 45563\n18056 30552\n11159 15135\n19948 36221\n6095 41672\n18409 24484\n32043 39742\n7209 36523\n13496 31579\n12911 29887\n10781 37623\n23974 29622\n28968 34558\n2937 41718\n23977 33306\n3236 16320\n29140 39826\n23949 46774\n5895 8749\n9694 9731\n2071 41155\n10692 37438\n6777 37072\n26089 28942\n34018 39511\n34509 45779\n20272 33026\n18055 35621\n12121 17650\n18300 32862\n9953 43913\n10381 35496\n787 35856\n5202 12735\n14094 43423\n7044 26748\n16963 40738\n1177 20480\n9235 13917\n7041 7216\n25153 33354\n31975 33964\n37846 43143\n2418 39158\n10971 12958\n20564 34367\n29075 43040\n13851 43781\n9060 19371\n12602 19100\n35504 37569\n14777 29794\n37729 40667\n12924 36964\n6565 40263\n12722 34091\n26341 31102\n17531 26024\n13353 28668\n13246 18451\n24198 31947\n31129 33152\n24118 25231\n1964 5488\n4359 26094\n12414 45450\n18126 41891\n8111 47195\n9756 19692\n28316 38893\n25447 36339\n4905 10630\n3044 17356\n2983 34503\n1410 39733\n6035 32615\n15124 37446\n1919 39677\n8550 35657\n15442 24580\n11612 24278\n9633 27945\n1527 35320\n7641 15046\n15697 43370\n28826 28931\n35118 47491\n441 32069\n16377 30193\n20832 31770\n25939 26495\n18951 32612\n18270 34252\n34307 38397\n17827 37827\n4192 12712\n29879 45957\n16542 23242\n4284 30192\n12800 33574\n7647 37748\n5855 8612\n20424 32765\n6567 48395\n7132 42948\n12305 20915\n31293 35465\n23367 25041\n2537 6322\n6452 14301\n25585 31783\n9529 30111\n30587 40318\n31781 47099\n10290 13889\n2722 45096\n882 2559\n21249 44668\n3605 15806\n19576 37104\n14848 39009\n13620 20716\n2551 35328\n6962 25172\n28019 33543\n12168 12828\n2395 14661\n17984 32369\n10223 19523\n29157 29461\n42178 47250\n28852 40102\n11734 14780\n4280 35671\n23845 45237\n4201 7073\n5434 28801\n34803 38291\n18803 39917\n10287 23391\n22985 47168\n35661 47470\n8098 30552\n41336 41501\n4530 44087\n6953 16334\n22304 34728\n5402 19853\n8656 26094\n5343 28658\n5822 7005\n6289 38959\n2759 21185\n1362 11148\n20930 24341\n23169 31554\n16196 27926\n28341 45700\n29779 31489\n15467 29333\n23599 48521\n4662 34145\n10327 17103\n3765 31681\n5044 41945\n10097 10161\n34260 35824\n19519 28451\n33970 42432\n5003 22796\n29523 33127\n27158 33526\n3351 44809\n7031 15521\n6892 31444\n1041 23999\n1153 27438\n9171 38227\n10077 42534\n11209 13487\n21097 29467\n14119 24028\n5371 40437\n14942 36406\n9670 36480\n8986 11489\n2818 47749\n30593 45490\n11951 20660\n9560 21017\n30204 45087\n20590 21766\n2851 8607\n4688 15444\n490 27927\n28519 33929\n28910 41010\n41576 47711\n3471 25393\n7228 31004\n5874 36782\n17811 19966\n26974 29185\n13967 26976\n1117 15510\n3179 21678\n19244 38017\n7355 10836\n12109 21120\n3272 35073\n28880 35834\n27704 29880\n1068 20893\n26929 40621\n17610 40792\n6288 21865\n4764 41756\n7224 45868\n28527 43066\n606 37062\n21257 38782\n6584 9898\n9857 19623\n19710 25480\n10606 36526\n17103 47400\n1378 22195\n24387 44990\n9683 14099\n721 25010\n39132 46651\n8533 47487\n1430 20370\n15344 28991\n2285 44957\n35543 35870\n2701 28036\n341 44928\n12325 44524\n18863 32660\n10510 18287\n9621 38872\n144 9452\n19922 45456\n13824 40018\n14163 43084\n17787 48420\n15048 26730\n19750 24433\n44642 46511\n14284 19002\n2632 13964\n21641 42049\n264 9665\n14381 25872\n5354 30786\n14812 22530\n24255 29881\n8667 43607\n26760 37722\n4076 32994\n13435 24987\n38542 38937\n19784 36997\n11070 44198\n26802 38224\n694 20565\n5253 12119\n28910 40698\n7648 30681\n295 4629\n10969 22426\n30372 30416\n10239 27431\n7005 19790\n23640 37433\n11685 19728\n34012 38857\n12289 46210\n5688 12932\n27572 42317\n19978 24270\n5244 24450\n24892 31943\n5429 44539\n25683 45498\n40751 44953\n1127 13015\n28789 44205\n31369 42219\n17800 23239\n2271 14132\n17881 27292\n39138 41364\n10849 18338\n2242 48592\n15511 29979\n8557 14058\n19849 41936\n721 17506\n34678 44014\n932 27423\n1786 20095\n9775 20290\n9897 10206\n16753 24863\n4849 37542\n34239 46093\n17661 24133\n5514 22483\n15051 18618\n11110 32734\n9013 30803\n1961 19211\n108 12777\n10139 19117\n9458 21290\n26035 47434\n19971 26806\n25818 48264\n46751 47024\n15188 21511\n740 26987\n28678 46543\n1869 28635\n21732 37919\n9060 14442\n5777 36750\n6014 15843\n5894 46903\n11743 17299\n4858 28013\n26147 35896\n716 1467\n11741 29607\n16801 37533\n9178 35113\n30418 33244\n9139 33582\n4650 14680\n2997 24701\n4490 37250\n24934 48458\n16340 30788\n16814 39211\n20168 31627\n43791 46130\n1364 29004\n17104 38060\n40164 42983\n33377 48101\n16938 20352\n1966 3168\n35748 40653\n29412 41777\n11359 44208\n42002 43086\n18180 25296\n6837 40573\n3360 45121\n10182 25477\n20942 40959\n2875 10916\n5144 40713\n26562 47212\n14115 44662\n8683 18035\n457 38513\n9284 12656\n4393 43212\n24507 43031\n4453 29689\n1595 26883\n14415 15463\n31005 46760\n15796 19097\n32253 35421\n21001 37400\n26092 41533\n39995 44942\n8335 36310\n20731 32837\n4044 17411\n35616 36266\n21206 22988\n13918 23348\n17088 34851\n22587 30633\n27045 47744\n8922 37767\n4589 17038\n10080 28624\n4006 21712\n8191 35077\n5402 8218\n5747 35806\n42046 48411\n42289 47669\n10461 20453\n15570 30470\n14725 16270\n4891 28129\n15620 38042\n8052 26708\n31205 33862\n38062 43452\n40313 43373\n4610 27998\n22640 47277\n12035 12519\n17303 18644\n20072 30381\n20605 35713\n2620 32405\n40495 41751\n16550 38405\n2421 27815\n26051 37237\n28790 38708\n19373 30490\n17448 28003\n10773 22329\n21960 42291\n3986 9371\n20452 32169\n9337 31541\n4231 44928\n19139 32366\n1532 26492\n30114 38899\n6690 25387\n33668 38414\n40363 42231\n6892 29717\n5001 5964\n37484 47429\n19222 25880\n17686 40049\n7704 32343\n5674 18287\n4916 47258\n25100 45416\n27747 40338\n17600 43350\n3539 8485\n14110 25669\n32593 41758\n29929 41089\n14739 33931\n20816 48465\n4988 30368\n12794 13191\n22394 45075\n13537 39294\n10388 12404\n14364 42389\n3272 27701\n20305 43925\n33557 48554\n16794 17277\n19733 41680\n4437 36047\n9176 20398\n8769 41999\n9715 29276\n24663 41920\n36793 44338\n2801 17724\n7498 15067\n12127 35782\n20056 36620\n19312 23392\n30533 32030\n19043 45869\n5310 23900\n1047 6907\n34621 44679\n10845 39763\n10376 12615\n9439 18799\n2884 22672\n2926 37275\n10345 25060\n20254 46292\n6992 44653\n8000 12393\n40715 42883\n9067 17043\n22960 30884\n30273 45692\n36940 38844\n9208 34555\n14453 26764\n3949 45627\n814 1245\n43456 43998\n39924 48073\n33513 37231\n31780 46178\n9909 11172\n28678 37788\n6079 30788\n30828 44959\n27812 31277\n28610 39010\n4721 24520\n18064 47797\n12526 32230\n6392 39194\n763 7717\n5673 26527\n7031 31450\n5327 40580\n10780 43550\n29402 38735\n466 13345\n3046 44652\n17809 29150\n10466 34273\n11522 28400\n31413 46271\n17636 38297\n19920 31484\n21104 28220\n7599 38979\n19907 36715\n20869 33815\n8271 12053\n15770 41293\n9434 24599\n37989 41766\n14294 29004\n16657 32028\n37284 37854\n11522 36642\n10913 28980\n18279 32803\n20742 47558\n34709 48494\n38529 41786\n36259 41968\n39862 47930\n13428 23924\n433 34309\n9857 13143\n6823 31785\n14660 22972\n5363 37897\n3964 47062\n7921 35020\n15178 32275\n11943 21584\n11392 20861\n275 5823\n23129 45782\n4955 31602\n34470 39154\n13475 42011\n30998 33949\n23432 41953\n10337 48579\n21726 44402\n11196 20937\n10246 28595\n104 23935\n17248 40083\n39329 41909\n482 36987\n5436 8105\n9021 44931\n3102 43103\n43995 47598\n9141 10040\n9 35407\n1819 45781\n6233 42881\n409 43601\n22738 25175\n8139 33258\n32746 44321\n21127 31298\n34016 40762\n18067 20991\n4583 39927\n22453 45056\n862 39045\n15869 37705\n4967 41346\n32961 37549\n14204 30151\n12044 42929\n8070 28990\n23528 46835\n3254 22884\n25278 41225\n28686 39433\n4869 44470\n2232 23544\n19713 41650\n38558 45234\n28156 36149\n14065 43405\n17993 21819\n5858 36058\n25678 32569\n3668 31448\n14430 38364\n10126 39108\n45552 48639\n100 21749\n12874 14481\n29396 34461\n27345 35955\n19740 45625\n1066 15155\n17225 43463\n24565 25802\n27055 28640\n33701 46222\n8360 32604\n38954 45977\n9819 35623\n6204 12123\n40172 43446\n313 44853\n5409 25738\n35791 39776\n7341 30319\n10155 28279\n40198 48645\n10415 35576\n23294 29645\n8629 33673\n20999 46696\n3307 14466\n12892 33157\n3228 6969\n39074 42122\n13364 17118\n35584 45811\n32406 37862\n971 17645\n24275 32767\n12717 23815\n2833 4153\n4227 17991\n13565 25634\n14441 25099\n11553 23994\n11071 41173\n20038 35393\n29404 37867\n16622 30095\n16003 47643\n27758 44166\n5512 44206\n47156 47930\n12746 24554\n35208 36230\n35765 39161\n3206 43928\n6692 12359\n23928 39197\n6523 34748\n26804 37191\n8425 32008\n9155 38549\n17660 26829\n17635 33867\n10901 18142\n6069 42954\n8564 13033\n24073 41640\n40551 48127\n1894 35130\n23729 38851\n457 15486\n7785 48352\n5482 40472\n39667 47634\n18910 39951\n7435 31935\n4550 31097\n27164 42867\n34700 45658\n7252 48161\n9485 47379\n38664 40082\n30287 33087\n22209 28136\n14090 47425\n15149 33110\n17308 30726\n14860 18174\n1508 6709\n32356 35842\n17219 23446\n9339 27272\n14560 43727\n11065 23946\n33677 43675\n31804 44003\n3236 32068\n31473 35057\n2956 15611\n37552 45813\n34534 40121\n8481 34813\n5371 23125\n9209 27132\n12174 44333\n9264 33754\n29775 43443\n6071 46269\n25301 45975\n11006 22964\n5431 18736\n9125 10358\n25540 34052\n4227 27767\n19633 44567\n4955 14869\n4015 8562\n12186 25282\n2231 13589\n16264 27239\n8370 27757\n1375 6376\n7480 44652\n13998 22239\n26447 45840\n1698 23270\n2058 39788\n21930 30609\n5844 34005\n13649 31977\n1950 48378\n14374 45985\n8261 11733\n40643 46594\n15294 35975\n29537 36562\n47649 48267\n12823 48262\n23024 47439\n7590 38221\n46215 47473\n23140 40823\n11016 38208\n5665 22698\n23617 25471\n16248 38333\n34745 35009\n18635 37044\n15421 34529\n15200 37121\n5983 23824\n16612 24042\n13937 21912\n42473 47621\n10881 46100\n5661 8621\n16601 47551\n1021 37283\n20728 36736\n18796 38672\n2481 9493\n16529 26579\n26181 43911\n33297 44609\n10562 22261\n15919 32990\n33471 45679\n15251 16784\n1531 4682\n4725 41791\n34001 35412\n25626 33659\n30718 45266\n5489 43554\n2496 23068\n20112 24527\n11614 14417\n15451 30176\n14633 42431\n21917 35550\n28892 38861\n28200 39014\n22497 31238\n15591 37378\n9326 12983\n18646 23257\n7791 18416\n8979 47269\n31394 42751\n13361 45511\n29177 33548\n39010 45830\n2476 43254\n817 32372\n21694 29318\n4170 13884\n12828 47353\n22132 41954\n4903 45883\n4483 5185\n5328 30319\n28230 37839\n11049 13708\n14461 36829\n18670 38784\n27866 39708\n35716 46748\n23709 46554\n25932 32741\n20591 43550\n34963 45304\n44408 44670\n11062 29527\n38493 45717\n12787 14928\n6908 34324\n11476 38858\n32667 36958\n38083 46552\n28761 35253\n800 18232\n16879 19044\n100 24511\n4404 22859\n36622 40186\n29104 45121\n17597 47222\n15122 36305\n33032 35041\n7551 42167\n8638 18378\n29184 45900\n21347 22966\n7190 34943\n5800 27919\n22391 31999\n16940 18243\n19465 33529\n6923 17648\n26630 27762\n12644 46421\n10783 42669\n21660 47803\n28233 46974\n4397 31580\n11080 37531\n35353 43692\n400 27059\n2098 41332\n28709 31635\n3393 48085\n8128 27319\n22493 35617\n16770 35226\n3803 19569\n6590 31555\n25517 30590\n5778 17604\n23650 45056\n14240 47678\n16633 40865\n6046 36582\n6208 47742\n7895 33695\n38632 47838\n22188 24983\n45964 48343\n15876 45633\n10237 19489\n15773 41777\n15631 37489\n7643 11558\n27493 38558\n6659 35891\n6691 11609\n3030 41057\n15055 33400\n39339 45349\n36953 40933\n23386 34507\n32943 40270\n908 47691\n5919 46448\n28289 31811\n11928 40585\n25327 35771\n6445 44727\n18328 46159\n28869 29193\n12447 12991\n28221 39239\n3909 33704\n37410 48024\n2694 18396\n1105 28586\n1434 30401\n22530 35896\n35805 43094\n9376 27615\n6912 39233\n17128 48431\n44212 45590\n230 41446\n33665 43365\n28517 41204\n10318 47661\n27591 36222\n40256 47090\n520 3415\n23408 26004\n12650 15420\n5583 16594\n10169 19757\n8413 41312\n4832 23135\n14533 14862\n18794 31293\n25488 41564\n15367 15502\n9270 38512\n23561 26873\n4080 20358\n720 38162\n825 26929\n7805 38558\n5983 24559\n2291 35219\n2943 29971\n2546 40105\n22440 46917\n35505 41022\n236 38496\n13822 32764\n114 21174\n3749 38558\n5269 26590\n20338 32272\n7078 43682\n31957 34608\n2024 45080\n1412 24265\n30947 39057\n13699 17164\n15331 27523\n33196 46482\n10152 24655\n17917 27199\n10540 31397\n38289 43121\n22 2624\n4389 7036\n2200 27276\n10979 27348\n25122 39886\n7747 23149\n11109 42109\n18393 28030\n22375 44854\n6291 9125\n25485 33430\n847 22162\n1807 22840\n3607 23103\n3083 39485\n9204 45646\n16835 40435\n3664 42541\n16420 35401\n4725 18799\n40810 46651\n1433 35209\n8907 13360\n37128 43877\n26757 46306\n125 9684\n581 13799\n7371 11448\n15050 32295\n3133 37038\n11741 40743\n14606 25902\n3731 24410\n27814 44166\n13632 27340\n25433 30053\n16557 43986\n22360 27565\n18490 21658\n17440 38005\n14696 25785\n119 28070\n19613 35307\n23928 40992\n33446 34872\n10242 29881\n11735 24562\n12079 19445\n3181 6190\n5286 32704\n28312 31745\n1348 36068\n4954 39677\n7422 38631\n9486 44924\n24414 48273\n18933 36486\n18069 28360\n26250 27824\n30035 36521\n37894 48105\n40650 47290\n3379 39497\n774 38002\n5615 29516\n30232 41287\n12691 24536\n13257 33273\n3034 39193\n6484 22718\n35912 43012\n13075 45726\n4588 28742\n15165 29049\n4748 27588\n10062 41308\n32275 45087\n83 11133\n3422 44403\n193 45675\n31804 38737\n5956 26579\n26854 45091\n30433 39042\n29813 35969\n27898 28034\n30074 39591\n33410 36151\n43573 47195\n37393 37595\n33764 38484\n6564 48036\n29602 44395\n27312 29478\n29418 32817\n20610 33527\n1941 18846\n23288 31096\n12088 28697\n7885 17988\n6035 16580\n36346 38332\n38298 42141\n2997 23983\n5404 21120\n19487 20703\n32654 38969\n39895 41544\n11469 34872\n10870 31938\n26734 39831\n2216 35039\n3676 42284\n12065 38021\n18921 43734\n12739 17529\n9004 15583\n7045 12945\n12559 29587\n21954 31845\n12449 31209\n22469 45923\n36472 46994\n33666 41102\n8934 45981\n2802 13829\n22029 28579\n2635 29043\n2364 22879\n15511 36497\n39725 46826\n28175 29646\n25821 35988\n23382 45653\n12988 25230\n14348 35432\n34333 48141\n27306 28938\n25874 38492\n27194 45820\n14154 40503\n14710 30880\n18355 41579\n21457 30192\n4526 31371\n23279 28514\n1192 40653\n3097 25219\n7229 8392\n14545 26376\n33409 45615\n12624 37371\n14022 25095\n3900 34498\n6041 7016\n10305 22205\n42758 45225\n25266 26030\n5359 26613\n620 10052\n29667 31633\n17124 35457\n286 34692\n630 32628\n1348 8382\n27435 42624\n18825 43150\n7218 45000\n12641 18781\n6949 43577\n16022 22340\n3640 12760\n3917 18987\n457 39034\n28801 32966\n11921 22030\n19411 34889\n23600 27752\n748 40445\n33589 38929\n16973 29242\n10033 13674\n31540 33826\n21539 41889\n11051 19171\n22954 31107\n32679 43862\n14746 19089\n715 29030\n12866 28556\n2894 36481\n22441 47794\n2205 7151\n30971 46762\n29988 36686\n15628 42579\n20349 44717\n21215 38748\n12275 35511\n7823 46059\n24890 31674\n40359 41852\n7434 44676\n4715 34607\n5535 6068\n3626 16505\n9102 10960\n30798 33960\n33150 42383\n38100 39319\n36963 48350\n5094 38535\n15467 43937\n24915 36958\n2944 20742\n19199 40893\n10997 42491\n19626 23697\n32527 40274\n39359 41264\n22341 42411\n11790 30788\n12444 14368\n14712 46752\n17838 35192\n10394 35401\n4888 43745\n12721 40299\n18519 24169\n19913 33897\n23565 24359\n27052 31596\n16575 32556\n15062 16370\n2952 37769\n12002 36525\n17350 20252\n8036 19390\n13953 35367\n535 33578\n779 7805\n6075 19477\n26026 35157\n1959 10538\n2270 3254\n3072 4421\n34678 44851\n34653 39255\n3458 33232\n16243 42471\n35824 39412\n12836 22954\n18873 36300\n38688 46549\n26014 40068\n25524 38949\n26002 36034\n2358 47980\n4712 7206\n6379 8329\n18636 36445\n6582 22423\n7782 18425\n7586 46678\n7918 12227\n5403 39362\n5331 25323\n30386 31764\n29927 30277\n17473 23975\n4797 42078\n27482 31140\n7880 43392\n22364 44799\n18716 42786\n10785 32327\n8983 26568\n3655 28788\n23222 30099\n16360 37730\n38257 47936\n13076 46092\n4425 28179\n1033 3502\n8802 12248\n44034 45429\n6414 44947\n27074 40772\n6984 32021\n24235 29781\n16111 27823\n7746 13537\n41856 45035\n3149 27743\n37590 43204\n8311 25275\n29818 42479\n346 32062\n41641 48404\n1807 6361\n24370 37768\n5384 22105\n3320 7495\n33536 39330\n12124 38841\n18976 34786\n20464 24955\n15939 37036\n34152 37005\n21667 39453\n22313 28299\n11430 38950\n23482 28863\n3206 24493\n12198 26059\n601 22424\n9972 12430\n7790 47074\n36345 47786\n28563 28908\n1234 30514\n27201 42628\n7330 32492\n27677 34796\n9023 39683\n9236 37873\n24132 42003\n27757 30082\n9879 45975\n3513 11222\n27733 48623\n44869 45976\n1939 39311\n8926 22802\n20099 41019\n10917 38098\n2298 44483\n18197 20296\n18970 38536\n5283 24320\n41100 41992\n24550 29546\n8498 41218\n3234 33058\n9309 26497\n15126 22480\n18029 46695\n16555 33462\n5789 26993\n22768 30882\n45652 47522\n3888 36155\n25648 25949\n17018 23347\n34539 39025\n13271 47960\n7739 28560\n7472 43287\n2250 24557\n13247 19042\n15366 38132\n770 44061\n44730 46227\n1771 33128\n17990 46195\n8380 29168\n7086 22375\n6101 24277\n9722 31452\n17687 40374\n9504 26208\n21856 31755\n3029 14574\n37040 43175\n41216 42262\n36323 40487\n4429 25986\n20915 46860\n11112 45677\n9580 35008\n12920 43159\n3250 17623\n84 25277\n25559 45538\n3777 11907\n21732 28345\n2404 23740\n34414 37226\n14846 34791\n1639 38710\n19770 25807\n18426 22080\n25682 45613\n17369 20571\n2216 29483\n13306 30933\n32464 33614\n5474 48552\n23069 33318\n18698 41185\n29693 36660\n23283 31863\n20967 30329\n23392 35540\n23930 28963\n2445 44043\n612 42784\n33172 39959\n12957 39692\n3793 17044\n19556 48541\n36214 37382\n3476 9995\n30001 42239\n28036 42637\n10794 25410\n22908 42563\n35041 35865\n4646 10435\n7676 29151\n25286 35080\n4856 14576\n16075 45778\n2176 2926\n31562 44906\n10022 36175\n8847 22051\n9407 24967\n19455 28006\n2285 9445\n39808 44915\n30301 43482\n26220 34798\n24104 27653\n1970 47256\n23796 43006\n43067 44002\n2129 10206\n34876 34974\n21276 40114\n17839 31685\n32363 47079\n18883 28113\n15559 48436\n21556 42027\n18243 32117\n10098 43476\n2332 23562\n35348 43232\n11754 22098\n5237 43270\n2711 43297\n18208 37976\n9420 20489\n25906 47059\n2391 6022\n24143 41413\n13452 26137\n4433 36856\n19215 23424\n12648 45948\n6306 34552\n14303 24519\n2702 5520\n19704 46317\n21515 36482\n4308 21422\n19453 37150\n69 24019\n24293 32742\n156 903\n24587 25734\n1106 4847\n16574 16877\n19054 35789\n21427 40256\n7029 30338\n10979 18681\n42210 48343\n16423 19860\n18291 26301\n27904 39829\n13406 17653\n8285 47053\n23781 46418\n12916 34508\n3492 15551\n21540 24252\n27623 31897\n1106 43163\n13055 29722\n8602 36317\n19666 31972\n14414 47709\n34166 46510\n10349 44790\n7475 41349\n1385 34908\n28743 34585\n7167 46219\n985 11366\n24368 33410\n8439 26656\n22010 27507\n24518 39828\n12776 23625\n17401 42091\n33152 37644\n243 22635\n15325 37594\n9865 48066\n6402 43511\n19728 20520\n7290 27998\n11978 28853\n26182 39229\n5009 20475\n13772 30660\n5889 38714\n16891 19870\n11906 40880\n32871 35710\n4145 18085\n29391 33114\n20693 37639\n22004 38320\n13806 35626\n11708 16900\n34287 34978\n29303 34257\n12389 28365\n1348 17302\n21947 29968\n650 19300\n28697 32266\n20521 22524\n4202 32116\n15479 34533\n27000 31722\n13637 30895\n10959 29258\n21868 47817\n6006 6833\n21759 48545\n18359 30956\n5662 26375\n21061 25951\n212 38996\n5529 16690\n12410 19936\n3356 22513\n3030 3784\n7778 29459\n6444 32314\n3585 41336\n41233 43651\n6781 22600\n33647 47229\n3757 28773\n15177 17811\n9874 43441\n5093 17798\n4690 7668\n4995 31525\n3245 15163\n24607 36315\n6066 45369\n9786 16062\n2588 21360\n10062 30736\n13121 47683\n10890 11157\n21243 32670\n15199 33204\n18601 31828\n17633 35071\n15036 27536\n23786 44737\n29048 42951\n14120 18965\n18463 45913\n1412 35480\n14129 46664\n9058 47810\n22851 33220\n14350 40408\n28714 36864\n19777 31016\n9741 13831\n28495 28956\n14764 29448\n1402 23688\n9858 25243\n15820 48186\n445 33901\n10033 46306\n9127 24320\n16816 37641\n15021 31722\n11597 12715\n14793 39129\n14462 31294\n22004 36200\n29139 32753\n18005 48094\n6181 25504\n4081 36714\n8372 44358\n29059 29600\n2305 26734\n4751 12710\n10248 44899\n1964 17002\n7565 45180\n13658 30450\n17881 25127\n8963 19089\n11457 29371\n10197 35883\n4699 5386\n30871 42480\n7615 33887\n31019 45879\n4246 12811\n29118 38757\n1313 9042\n19297 28806\n23654 44167\n22203 32298\n30937 46091\n12141 19472\n33261 38869\n25384 26921\n20779 37552\n6909 32068\n21514 34707\n38399 43043\n24884 28146\n49 15253\n35144 48602\n499 8660\n2446 12795\n29061 43421\n13187 13869\n21004 46193\n10231 34348\n25618 30715\n21322 35466\n8493 18001\n10455 42697\n2633 16389\n7446 41211\n21098 41122\n35268 42198\n30069 34924\n29355 37772\n38455 46311\n25137 43996\n23370 37880\n22186 38107\n27221 29163\n17118 37704\n17396 29021\n18622 47323\n31341 36835\n2234 24172\n28728 35722\n19860 27215\n34174 44825\n13050 25432\n4039 5572\n12537 20834\n1877 23751\n3478 13657\n329 36463\n5024 15680\n26401 31851\n737 6693\n4369 38791\n1549 12921\n33936 46215\n8524 15597\n3284 46968\n34125 36570\n37128 37843\n34770 39283\n22573 26014\n33766 42603\n34811 48237\n16452 45413\n10988 37748\n21695 44040\n32370 37383\n22295 46103\n15982 35258\n19839 32041\n24291 43186\n15791 18675\n25982 39789\n6123 25327\n10806 32464\n32316 43711\n2379 16629\n15860 39434\n13184 26246\n2827 19540\n7554 37341\n25525 46038\n10470 22393\n3137 24996\n26307 30099\n7108 23783\n16973 24696\n34462 38068\n42565 48288\n994 17289\n13799 31515\n12171 44854\n22758 41246\n37993 43394\n4460 5699\n5418 22526\n16385 24235\n28842 46235\n6084 43898\n348 14046\n7269 7558\n35013 44861\n35361 37775\n5464 14987\n3149 20375\n8844 30603\n21653 26094\n17830 21441\n20513 47884\n10415 27321\n45712 47385\n5347 12226\n3496 43479\n12024 23668\n7902 30082\n40341 45960\n18921 28546\n24796 47656\n18027 42484\n38617 45724\n24436 35513\n4242 5624\n16693 25022\n8043 47125\n4656 20943\n9398 41854\n10453 37491\n29304 40886\n18483 22721\n23086 36294\n9653 19902\n10381 25704\n17166 21576\n11932 16170\n7262 40332\n6671 9186\n32220 44903\n11039 35903\n28027 33475\n6900 34705\n15554 33436\n1147 46661\n1126 39848\n14304 48405\n2425 23217\n7651 42060\n24079 47545\n9937 27194\n24826 44232\n12492 16786\n10561 44027\n31774 39025\n18534 40307\n13477 45889\n12803 22731\n13727 41679\n3130 10732\n19118 41020\n19266 35680\n25032 48357\n11779 20379\n8808 27799\n19753 36819\n24973 25724\n27409 29157\n9647 43666\n13528 34470\n18460 41994\n40098 45780\n20758 43634\n14017 34600\n9481 37724\n7301 14933\n31068 44143\n3423 45191\n2257 20793\n4539 41473\n7692 27112\n21224 26988\n6709 31766\n31232 36424\n17664 24560\n35512 38092\n17149 34515\n9660 20463\n3251 21788\n6127 21520\n37185 47923\n3469 33594\n22631 30111\n10868 11544\n6380 39713\n11117 13527\n21718 47669\n5111 47110\n8116 41749\n21710 44352\n2911 28540\n3311 26731\n18169 18569\n3775 35259\n17832 20643\n19911 28283\n4189 24770\n32833 42701\n1310 11727\n18394 23322\n606 42317\n16867 35053\n13903 25277\n22997 46862\n11348 13749\n16932 18138\n15875 36449\n13578 45218\n34453 42779\n1272 31925\n8283 16289\n2167 40147\n11817 14035\n1454 34525\n8365 9351\n2542 43778\n663 30238\n6711 12496\n3478 36340\n9808 22598\n9050 22306\n4017 27232\n2707 18488\n26034 30988\n11041 24629\n24188 48102\n15655 36451\n18726 28423\n9063 42658\n40863 44981\n34872 46392\n14982 39006\n24922 46839\n16015 43061\n2658 12182\n44160 46058\n787 47471\n36115 36558\n1038 47187\n3889 12546\n30477 33971\n7423 18143\n1279 21780\n43272 43388\n871 40555\n32197 40150\n4829 45051\n25321 45634\n17896 26440\n21359 43940\n8004 47507\n3793 10270\n22698 44133\n6636 46976\n847 36871\n2817 38318\n3583 12674\n32756 39116\n2789 24808\n21406 44852\n7260 7809\n10731 32365\n1739 28419\n8041 31937\n6541 16035\n31884 38849\n545 22366\n15019 28036\n24843 30020\n20792 24715\n38083 46519\n10148 43853\n37860 47987\n15604 28817\n12617 26147\n15738 45934\n33303 38441\n29655 33339\n30074 30096\n9240 32375\n20062 48356\n2355 31180\n506 31472\n21009 36782\n1533 44930\n47 11273\n7502 20605\n721 45610\n31323 34259\n37359 46234\n1250 11588\n481 22968\n2454 6821\n20099 28886\n23705 28605\n20708 29899\n9139 44236\n10042 45639\n26372 47567\n4602 44512\n22712 46518\n8058 13636\n4612 24108\n12669 40451\n38284 44193\n1708 44220\n8632 13142\n8743 40589\n18278 33951\n11406 30801\n15804 35233\n8575 12026\n14666 40532\n38284 48616\n10629 29250\n4763 27858\n88 34998\n34019 44685\n9841 42543\n23109 26631\n13970 46937\n3568 41276\n7672 25279\n16692 20469\n1627 2356\n34471 43113\n2757 38324\n29195 35963\n22172 41879\n9949 34777\n20601 29591\n23917 45085\n8864 46531\n18805 45567\n28377 28495\n3634 39063\n11324 45095\n4337 19090\n10309 30154\n17112 20517\n37324 37679\n34297 37146\n319 48168\n1351 25483\n8533 37063\n26091 29956\n23449 34094\n17548 36862\n33023 42735\n1235 28306\n19918 32772\n32440 41766\n599 28733\n16858 27860\n17746 37086\n35664 45297\n30571 47625\n2093 23767\n30008 33795\n25132 40938\n8992 30640\n1890 21387\n31167 36942\n20234 39645\n4966 48632\n17785 27373\n5609 11295\n18727 34083\n4514 37072\n16239 25113\n26012 29867\n14831 37344\n8457 29597\n31083 32720\n11262 12006\n11660 31695\n9457 31189\n9564 36249\n6113 10497\n35734 41654\n10605 26030\n36729 40008\n23055 32271\n24508 25755\n17785 41739\n35013 36487\n12922 36856\n41361 42585\n17559 32204\n2241 25549\n39038 44536\n19780 37327\n4779 17387\n5728 33082\n24545 44295\n4999 28305\n8672 42202\n8852 34502\n40061 47027\n10765 37164\n39265 39817\n27203 44725\n22591 25666\n45212 47981\n18903 40151\n17380 19019\n5758 32302\n24621 36374\n22715 35875\n23503 34281\n13318 43034\n28976 46671\n7440 16802\n29513 38941\n14610 17496\n9272 32735\n31778 37192\n1735 29249\n7283 14624\n27603 39134\n5910 25912\n5178 40377\n24522 34008\n10454 31733\n8392 13934\n17336 28242\n30100 32303\n12927 27120\n23737 45720\n16354 31461\n39690 41000\n5386 42191\n1160 24175\n16399 27356\n19057 22403\n7731 38945\n37546 47761\n32584 43239\n249 31030\n14529 33706\n15706 40709\n13836 38453\n33435 36989\n18825 47429\n32526 45608\n14123 30477\n12998 39578\n23835 40030\n34519 47895\n12037 36733\n10815 39131\n13761 35455\n16878 31899\n9337 40686\n7800 27940\n7683 35256\n22449 41314\n4758 15553\n14257 23364\n28297 31563\n6495 17151\n2062 27479\n2474 7447\n40413 48046\n21750 40342\n11131 46075\n3657 35498\n7540 36602\n25975 30808\n23103 24967\n8001 12065\n8552 29337\n22883 32901\n22176 32449\n1351 24741\n21973 29431\n34056 35855\n5615 8673\n22793 27901\n25564 44912\n32703 46346\n20057 20389\n5833 40030\n16922 22809\n14841 19416\n30609 38634\n29717 38964\n11972 45034\n8173 11916\n2474 12506\n34215 37747\n31717 43384\n6815 8804\n3517 42739\n12731 46936\n20543 38855\n2570 16968\n15676 40749\n17466 41648\n6155 29215\n4133 6276\n27715 44071\n17156 37891\n14065 35280\n4731 24444\n40331 40561\n21381 41281\n21088 32400\n3669 41863\n6867 47613\n23425 36929\n3194 28112\n11849 28204\n3127 12187\n14059 27122\n19550 24671\n18885 32969\n4656 42948\n43391 48386\n16009 17119\n11885 36918\n17610 28707\n12858 17907\n30715 42426\n7776 32014\n32939 35168\n19875 43749\n2915 12696\n13474 31934\n8333 27431\n13316 42628\n6482 11429\n377 43847\n19426 41798\n20497 24398\n24105 25870\n28905 40553\n22190 45952\n20011 29012\n29192 48089\n970 8299\n1252 43947\n8933 15390\n34248 35978\n2005 26440\n30347 37946\n39878 40166\n3478 12838\n27392 32247\n8761 45774\n12605 13714\n17308 41057\n11313 36023\n39426 47561\n26740 35267\n21077 32909\n19096 19984\n8963 21991\n16959 45738\n1017 2620\n2076 30886\n9311 17788\n13003 15920\n4331 31382\n33333 39147\n26734 39601\n34653 43421\n16788 24751\n8815 10428\n22369 32791\n12379 35593\n9969 34708\n1634 10447\n12364 47341\n35847 41621\n17501 46674\n15215 44197\n26037 29230\n13168 48286\n5588 8756\n13935 32607\n3721 47612\n23621 40095\n23885 29158\n21775 34496\n31038 34291\n176 42588\n2376 39776\n27450 39908\n26344 38030\n13452 25644\n25276 48610\n8062 41792\n6739 42788\n6307 24089\n11688 35536\n22666 48440\n2222 35881\n1220 4707\n5700 26761\n5332 29173\n2838 22109\n20464 28151\n675 29743\n19807 26459\n12161 36889\n3818 20954\n22001 40437\n40743 47834\n17802 24244\n944 32074\n33150 35244\n40151 45083\n1900 26464\n38938 47312\n34856 40114\n385 21901\n42136 46394\n37457 47465\n12481 22552\n30368 40560\n2607 48410\n4203 32738\n13186 23849\n14860 31315\n5453 37454\n29305 43597\n3756 4880\n3007 38152\n15824 46349\n17 18788\n13364 21842\n29129 36809\n2615 13445\n31948 32823\n1908 8591\n8689 20564\n2109 36180\n34074 46662\n34737 42389\n1767 29545\n4913 42058\n14622 14849\n2198 20754\n8769 46513\n30766 47551\n24812 37023\n2301 14389\n8228 45592\n21431 31729\n13012 17565\n3431 25787\n5967 20707\n17499 32642\n19191 37459\n5604 44703\n19825 46597\n39065 46232\n35738 36425\n24751 36572\n7991 43471\n28200 34080\n36892 41025\n229 36395\n19931 35044\n7632 48162\n1219 43776\n5577 45342\n38419 40064\n12237 47591\n31032 35538\n21634 45316\n482 17147\n12497 19935\n9039 10135\n4516 7068\n19485 27909\n13917 26593\n19479 46309\n7913 19469\n1032 21097\n12612 25784\n26773 41359\n11667 32438\n38321 45968\n622 19197\n32542 47941\n6337 13687\n1176 2748\n1808 34179\n22083 32040\n5938 30887\n12540 21158\n87 1345\n19230 41582\n19100 46687\n260 34003\n36429 47111\n22357 43461\n656 5809\n6832 17641\n12981 33189\n7688 21736\n1365 41279\n21283 38630\n25049 40283\n6080 37555\n30162 37447\n9288 44405\n1163 20319\n11636 31171\n7791 22763\n3191 6566\n4339 5305\n592 33565\n36501 40199\n14329 24217\n7108 46302\n1715 34695\n11916 24435\n32764 34154\n26390 40999\n15177 23584\n23671 41423\n850 8631\n16921 31075\n26576 27571\n37533 42940\n30822 41141\n17624 18969\n14779 21500\n11768 21550\n31265 31443\n26030 33104\n4364 37688\n21531 28502\n14900 38926\n6587 6850\n23055 36924\n616 6483\n995 38528\n5450 36209\n25561 41673\n10275 26014\n24762 26680\n38477 48674\n17470 21219\n18729 23078\n12530 15060\n24653 48591\n8281 23674\n13071 35578\n3223 15166\n40663 40773\n22919 38236\n26001 42821\n29769 32783\n22794 36765\n15070 26954\n22146 28524\n11243 39691\n18177 38402\n31467 47736\n15855 26224\n19261 20380\n31960 36040\n17709 42492\n43825 45121\n4792 17475\n13538 25375\n35922 40381\n24174 28188\n33815 40878\n18752 46199\n5146 23971\n303 16362\n15310 46194\n8777 39564\n3788 23174\n7591 30694\n5070 28446\n22340 36249\n20733 23732\n43965 48283\n15594 27130\n4711 42037\n840 34895\n26874 42554\n23803 26504\n5875 34372\n11185 34926\n10863 18490\n15831 40738\n23677 31131\n28588 44436\n4451 39240\n13899 38174\n17034 41239\n24620 40779\n3705 48280\n26925 43884\n13536 26007\n13874 40037\n16002 31365\n22021 44171\n4534 10070\n9004 19036\n23785 41700\n25600 29728\n30196 45572\n327 44297\n5811 34303\n14137 29220\n19193 32777\n11772 29023\n16242 45918\n7733 33965\n3736 4023\n46248 46532\n20983 31337\n28753 43380\n1569 41006\n18262 30435\n10831 18411\n33474 45744\n6026 25523\n22654 35682\n31200 34456\n23086 39890\n16241 24878\n14731 38431\n4952 30028\n11287 37905\n6219 35129\n32454 40019\n137 6108\n4819 31829\n31045 45995\n8733 10296\n1336 24927\n14701 21409\n22416 42690\n41462 48099\n343 13152\n2093 10641\n7462 32656\n4784 16329\n30462 37885\n30089 40592\n8234 31024\n14858 37228\n34442 45984\n18249 42898\n7640 11593\n33087 47096\n8909 16712\n16906 19493\n39878 47831\n3104 38431\n40384 40628\n45734 48642\n8327 10826\n27413 47472\n19798 33949\n3478 10973\n6995 14697\n17337 38164\n22542 24356\n20719 41526\n1047 14297\n22452 31929\n5265 34306\n34934 40903\n11425 46922\n3467 33153\n1718 11562\n32185 36531\n4136 15670\n27610 30715\n14276 22010\n12655 18862\n16730 37166\n23820 35356\n29125 32387\n1330 38160\n5127 34337\n32264 45203\n30001 45031\n6214 28116\n36409 42711\n39798 45478\n15052 16056\n31048 41131\n7342 18885\n4157 41984\n4476 28137\n13575 37856\n4743 36644\n8275 9219\n11203 17826\n10130 36309\n37056 38860\n2086 35901\n18487 42767\n4571 22985\n23143 37487\n298 34174\n27415 44858\n4484 30663\n13084 38552\n837 28808\n11771 25165\n39932 45597\n30812 35962\n29839 38898\n31545 42907\n9281 33200\n29034 48240\n12897 15545\n5669 7818\n20212 30117\n34734 38308\n12542 31472\n11382 11435\n29596 46093\n23760 40469\n2984 41879\n41458 46975\n3382 39860\n23294 46456\n9064 24459\n11894 18667\n15581 36730\n76 16654\n4468 38014\n1287 43583\n9305 36100\n15266 28796\n1759 38506\n23106 38281\n8929 32666\n22332 47503\n30453 35875\n6960 8100\n31056 32938\n29142 29298\n18953 36587\n1815 19964\n15377 30346\n8844 19595\n18820 45495\n10285 37511\n23454 31424\n18107 48174\n3642 5172\n12090 23908\n18631 31132\n28609 34503\n887 46926\n29342 41385\n11280 17590\n6427 15845\n31162 32501\n31529 34849\n9085 45125\n40798 44047\n4487 12062\n15710 41061\n21727 22932\n19924 39167\n3721 40715\n3320 48388\n19685 20698\n23011 35463\n21885 37929\n37709 41977\n13664 26963\n15883 39621\n18383 42944\n3987 43692\n906 40556\n42292 46382\n21751 40193\n4813 11831\n12650 20738\n6852 40596\n22439 24864\n14729 22325\n11014 32941\n26944 46062\n41856 42582\n11246 21584\n15686 41458\n33793 38336\n40450 41742\n7290 45939\n3231 12789\n25346 30710\n46117 47056\n4587 48410\n7414 20048\n34764 44328\n10226 42160\n16232 19788\n20784 47373\n17000 38833\n26099 46101\n9009 35721\n21986 47993\n897 26400\n6134 44999\n14445 23735\n21640 23098\n11737 45069\n6879 21142\n13179 36232\n15839 28549\n705 17345\n3129 37315\n4651 18157\n12797 16431\n19821 45693\n4165 8711\n19355 46606\n14023 15216\n36798 46766\n36435 37736\n8008 16204\n13521 15809\n1656 31518\n21643 33680\n34847 45811\n34960 39920\n16108 27768\n19666 20562\n5658 28919\n9006 32514\n25320 39645\n4270 30677\n28307 38409\n16502 25320\n12301 47932\n13486 27534\n10860 14482\n10722 48309\n33872 40916\n9744 26249\n2048 33643\n8771 45988\n36443 39711\n1392 33667\n2861 14007\n26150 27573\n10276 34446\n20420 30068\n21526 36316\n37337 41728\n12280 21488\n30370 47054\n3350 21246\n31330 39041\n38264 45536\n11756 33745\n12165 26017\n15350 45484\n34232 34805\n3728 34786\n2240 29680\n8037 46050\n26906 46286\n7569 13264\n4572 42347\n36335 39806\n7428 42958\n7490 33454\n41816 44120\n14696 22488\n40176 47258\n1178 37129\n22596 26307\n18105 45629\n17628 45813\n9620 18926\n16317 47253\n16156 18466\n22423 24814\n36868 47200\n2383 39607\n17719 19511\n5652 25712\n3987 13272\n31471 37263\n4987 34943\n5040 30523\n5218 36365\n37534 46567\n22766 27713\n15701 16710\n19092 22177\n38640 40820\n15044 26741\n23211 28277\n29714 46530\n17714 47347\n24739 43677\n45636 48303\n30547 38583\n892 12639\n10280 19500\n5490 12417\n23168 23545\n10964 22895\n16539 31255\n10414 46942\n11677 43119\n4405 37122\n24753 26697\n2882 18175\n24324 33928\n9856 32595\n15292 38041\n37590 37883\n7486 11599\n19468 42096\n22458 37776\n42540 45379\n23300 36955\n33590 38164\n18088 35629\n22454 26752\n15297 27357\n30693 40087\n10456 18866\n29286 41684\n11602 46715\n10122 39117\n538 22784\n1812 42354\n6292 17074\n11491 29427\n6097 29941\n4406 38836\n7097 11649\n5553 9393\n2334 34117\n5847 17147\n5101 16812\n12177 14315\n167 24453\n18663 43080\n26794 42548\n3516 3952\n35260 37407\n16581 29851\n10627 19465\n1121 17816\n20060 34415\n1608 3897\n2900 39511\n9951 18510\n33647 35623\n14186 42059\n29720 37396\n2956 5662\n13503 17852\n3308 13271\n14482 30041\n20967 22679\n3695 8657\n6037 7852\n29143 44667\n3774 15255\n11304 46856\n1292 35858\n8086 28247\n13094 29284\n30351 31242\n15482 22021\n8252 46587\n19894 22126\n18178 18425\n32979 35558\n17607 42076\n17741 34423\n3741 26324\n32997 34166\n8711 24408\n1029 41845\n2197 22504\n1727 14382\n7361 22150\n4161 38410\n39436 45988\n18358 25253\n14910 40158\n2853 48250\n16921 20177\n37871 44695\n4280 24151\n34044 37600\n29381 38545\n2161 11437\n32644 39332\n19945 43747\n29292 47244\n23915 28522\n7238 9877\n3537 26943\n19959 47541\n31758 41773\n23769 45309\n20339 29682\n4438 13145\n12779 35522\n7679 37788\n10459 39298\n17750 47088\n39033 45755\n29227 35645\n25823 28362\n23939 30886\n4317 48410\n6262 23634\n2144 9345\n8532 39827\n1582 13985\n20336 38389\n14315 27554\n25499 34081\n24277 43477\n7573 16938\n8130 20231\n6157 36023\n26612 29050\n10114 19343\n1169 42933\n7652 14431\n15707 40528\n24987 36088\n32177 32591\n8545 27169\n42691 47980\n30662 38480\n39132 41813\n22249 29815\n3764 5132\n19292 28614\n24230 46226\n296 11792\n16045 17009\n1384 40685\n7310 29726\n11338 33815\n15019 40208\n40559 45323\n18495 40600\n23698 45887\n3681 30584\n39164 42390\n16089 19739\n10513 42350\n9121 29858\n259 28915\n25914 27791\n31218 38789\n5696 12367\n12578 45396\n27929 31945\n14931 45943\n44265 44427\n35126 37215\n5149 7464\n4836 24794\n24595 38095\n1396 10445\n20886 47170\n1813 15295\n10381 38652\n25570 28772\n12850 43043\n30664 45268\n5741 22201\n44868 46964\n29285 47638\n24457 29699\n23426 45083\n30191 36307\n3192 8405\n10775 16569\n37404 42892\n29470 37388\n4217 34308\n6050 20416\n39256 42917\n33258 45284\n32089 37440\n1409 16247\n25246 34749\n10483 39725\n19573 24396\n13649 19653\n15412 15477\n12089 13721\n11027 47113\n9765 11909\n24417 44099\n30922 42243\n42311 45630\n7202 9959\n25026 28444\n30700 36611\n12979 33004\n42389 44949\n2073 45939\n2298 21480\n8209 18485\n30319 32458\n27813 36091\n15158 37140\n19705 42671\n3283 29209\n20785 47754\n33611 47113\n29842 45524\n19460 48009\n17694 21535\n5464 36166\n26902 34184\n32375 35352\n4925 21112\n27035 29721\n15917 41601\n24101 48555\n25096 25356\n2589 7512\n16637 34674\n5554 8542\n25340 36443\n27349 46143\n24727 39944\n22764 40095\n31929 39563\n29773 48491\n13835 26216\n20403 46592\n87 22536\n20130 22874\n16315 44123\n9245 42932\n9548 37756\n948 10544\n16343 19142\n12870 16230\n19064 27478\n13664 27309\n36142 41714\n26961 42604\n11480 15839\n20650 35516\n3950 27897\n14909 40580\n60 46687\n3081 10841\n9784 30408\n38550 45517\n8237 47079\n14976 26621\n16785 24286\n18749 21395\n6255 45639\n27353 43349\n39623 42591\n19867 24919\n23497 27639\n15617 45116\n5996 9722\n10734 29325\n18548 36416\n3683 24349\n35359 35983\n3579 23990\n9555 39326\n25413 44290\n3144 23541\n38440 46858\n21492 25575\n30212 37861\n13996 31248\n22778 48653\n31081 41005\n363 40871\n29922 32420\n7777 44078\n1613 9776\n1685 2617\n312 18519\n25894 37426\n42346 47659\n1208 6993\n37317 42418\n7951 20762\n9182 46712\n43984 46037\n3614 41545\n29563 46415\n34643 42870\n4468 43857\n17135 22923\n7246 35847\n19506 20003\n8052 48643\n2398 5967\n8643 11380\n15423 46220\n4621 38877\n16067 35058\n36672 40554\n17035 30156\n14274 39038\n19544 27370\n17352 27193\n23257 45622\n3585 26192\n948 11075\n29580 35839\n5050 7390\n187 30527\n33754 42234\n5456 37573\n21652 32936\n30196 48138\n29670 39175\n2215 25925\n3829 13030\n8773 17633\n48 8694\n45945 46668\n22535 37990\n2999 19903\n6638 12047\n1007 22137\n26294 26829\n12152 22222\n1145 45077\n12501 43594\n603 22041\n37683 42210\n54 40433\n6476 31744\n4233 9499\n37642 39734\n2118 19147\n19891 29560\n2977 39180\n14006 30113\n15075 45480\n21696 46381\n8368 28508\n15275 40896\n16553 34868\n31377 32455\n8386 37876\n8541 26427\n6999 8907\n12051 16510\n19192 20104\n682 25728\n17049 28498\n4065 14424\n24760 36131\n15565 40904\n26238 47282\n26083 47811\n9588 12572\n29703 45705\n1200 35640\n27575 32460\n8450 15728\n4032 11149\n14754 19691\n169 31662\n16738 20235\n29192 38792\n5495 40824\n20335 38854\n38687 43110\n10637 48316\n2379 39270\n32394 33498\n24487 39813\n43559 48647\n2413 46791\n8525 15788\n12331 18335\n2797 32104\n45040 46594\n33064 39120\n40115 43442\n27147 45614\n1669 11220\n30528 34902\n12853 44147\n3420 13527\n13673 24853\n12759 41787\n2940 34819\n387 9513\n20371 47658\n30204 36719\n21397 38992\n3487 17258\n4973 24714\n7102 17610\n47148 47514\n2015 12157\n4793 9435\n23609 34999\n21609 48228\n9991 16588\n31053 35131\n13416 22702\n25521 39218\n13207 23651\n16336 37569\n28551 42523\n19624 29056\n1909 5004\n25396 39980\n11236 29003\n30095 30480\n30976 43574\n23667 32887\n16586 31454\n13056 26131\n36191 41902\n8108 31537\n26161 47971\n3130 31421\n3721 28158\n21958 42364\n33748 38102\n19237 42954\n10766 15450\n11012 17040\n1875 44315\n7084 25207\n20477 27037\n24093 34693\n31603 36633\n5089 38268\n33680 36680\n24156 37576\n36079 46116\n40098 41176\n18199 38401\n378 4677\n26284 47040\n7221 40438\n29349 48323\n28925 32046\n26436 34054\n29000 47011\n23985 26299\n13301 22097\n18722 36581\n20915 34152\n13981 46674\n3960 46777\n21371 24395\n16904 37998\n9678 30339\n28368 42034\n36568 44433\n7173 10841\n1523 39384\n5287 30485\n13849 33259\n8652 39144\n35826 39807\n7119 9030\n10791 39811\n2219 36801\n29078 36720\n33576 36372\n19920 30936\n17976 44587\n16120 29338\n7219 40674\n10135 26060\n9921 17020\n25648 48326\n9156 35926\n15827 27557\n10232 17885\n5279 20306\n13111 21898\n33575 35063\n1103 14909\n20178 46264\n3469 17682\n14208 34114\n10424 26156\n15197 47581\n4884 48651\n381 27122\n20892 43586\n14195 24815\n17036 22597\n15030 22847\n25757 42905\n963 46578\n33511 40578\n21260 22755\n16694 46986\n10844 37745\n3348 38664\n38844 44867\n27271 29940\n29046 31141\n12563 17062\n4133 39504\n8118 33673\n46341 47300\n14568 17577\n25107 44739\n25975 40016\n41612 48232\n17119 40440\n32550 46607\n4197 42983\n13462 37037\n23472 27044\n36215 38308\n25156 42643\n4539 24352\n18987 28828\n3210 16336\n30926 41945\n6879 8603\n1993 22889\n17786 23143\n21217 42406\n4561 47575\n27146 46412\n22986 36450\n12702 35739\n16164 46634\n30099 40516\n5038 31709\n11596 40873\n7050 43396\n20332 27316\n29881 30652\n5519 22033\n7644 14157\n8647 17648\n15850 34044\n14713 47823\n1802 29725\n21027 27770\n12605 18988\n33449 46128\n5273 19796\n7973 17187\n27516 41123\n2636 6340\n43033 47374\n30306 48412\n7848 10324\n16644 23387\n9308 24705\n4856 27338\n29082 32193\n20966 25036\n22752 45422\n11152 20217\n9656 37005\n39 7852\n13430 14260\n26462 31915\n14472 44927\n6067 25533\n941 20967\n20360 37965\n5916 18428\n2222 36030\n17583 27814\n1040 26050\n14072 19678\n15719 29507\n7626 24682\n31164 42467\n20272 23363\n14959 42053\n831 1245\n7736 43978\n17670 42130\n12137 25467\n14108 16768\n13709 31090\n27112 45043\n24296 41768\n16255 42564\n9522 10682\n30592 42565\n20310 32681\n19486 22646\n2930 40186\n28309 28978\n1947 47473\n24321 28234\n24518 33146\n8068 29929\n7588 25128\n21988 43387\n15059 40276\n290 8810\n39116 43431\n13928 41190\n7281 24820\n9954 20513\n16708 45506\n22744 43000\n16316 28257\n29501 39485\n1389 38643\n27419 43233\n30444 31012\n442 20724\n11916 39009\n2599 4873\n31429 35895\n17866 30223\n2684 43433\n11514 41702\n42169 42320\n920 4874\n15131 47565\n16141 24237\n8143 37178\n27451 35996\n2022 20442\n4716 28624\n7234 15170\n11121 28877\n47544 47608\n15704 40083\n19112 21006\n27844 39770\n33919 44462\n39855 41304\n14836 24476\n27478 28420\n4674 43782\n7855 23335\n6385 45988\n24945 42204\n9951 42112\n14806 20239\n2113 19065\n6357 24566\n11955 12384\n9494 14197\n11582 34646\n20602 21242\n22892 41585\n2729 46668\n33871 41914\n11447 36890\n4542 18478\n34969 39273\n5243 31735\n22221 38668\n42195 44435\n30099 43668\n10470 23463\n20434 21251\n6343 20460\n2179 35766\n15613 38961\n21571 35108\n11749 44164\n40734 42171\n25034 31093\n26326 40338\n9632 43871\n11754 48508\n7193 15764\n16793 24447\n39180 47565\n17221 46564\n22096 42867\n22452 23519\n3892 41385\n28576 37753\n6285 31897\n1897 39821\n8848 9538\n27982 48198\n23975 35734\n35960 36082\n19973 23879\n23099 30366\n17883 37950\n3104 25119\n27313 28823\n35312 43033\n12073 37796\n19553 36483\n5870 12038\n13310 48368\n11295 30005\n7524 43128\n22485 25950\n3013 28068\n31360 42317\n9218 32142\n17447 45508\n2076 18322\n17237 35697\n1984 8024\n19835 22013\n41649 47811\n20481 24513\n70 9870\n2507 26231\n1169 23441\n27593 36865\n39245 43158\n10663 20404\n18267 33268\n7230 45337\n7508 13227\n32658 42268\n40024 46547\n4312 45653\n38184 40910\n3834 11903\n41988 47639\n2791 33048\n17395 29490\n30233 36591\n77 46916\n6764 27803\n9295 14424\n21760 43845\n3698 22731\n19830 24985\n34079 43777\n12662 19551\n6330 23891\n20326 36400\n27911 47850\n36684 47585\n21799 30832\n2825 33352\n17004 27203\n19040 38202\n14881 21122\n15464 45029\n16021 23316\n34920 38171\n32276 42002\n22836 36901\n12532 15931\n7999 20184\n15061 45040\n21102 44203\n20779 33522\n11925 30939\n3525 46711\n14385 26895\n10235 25556\n1124 35246\n4473 23652\n39619 48515\n30695 42652\n7792 47267\n5763 33511\n7280 47215\n18441 30617\n2757 44832\n16037 41457\n27835 37451\n24543 48285\n27481 42955\n19822 24846\n5765 36221\n10848 25663\n620 48044\n1146 5612\n823 12717\n18705 33850\n17380 39673\n525 34857\n22630 47825\n15767 22848\n18544 23272\n36394 45847\n23552 43392\n45954 47254\n28129 37168\n16383 41063\n10431 45154\n21346 30981\n10674 25533\n30769 39180\n18260 22410\n20293 33602\n19543 48093\n31552 35451\n19079 41194\n7603 11748\n11394 41473\n8731 20752\n8639 45988\n2032 35337\n22602 46045\n2 45911\n15407 19733\n17089 47504\n27800 36482\n3867 28848\n29445 40030\n2735 7214\n8257 43148\n12903 16472\n8665 14829\n28759 39156\n448 42498\n34291 46445\n466 33302\n2690 30503\n11298 45180\n7690 8538\n28293 47908\n9173 34725\n35060 44171\n34557 46564\n9877 32696\n25750 38135\n19584 39967\n8679 17697\n27950 30756\n23830 25433\n15424 28225\n21729 47656\n36579 41674\n7613 10638\n1279 12323\n150 15226\n9009 18483\n23665 29355\n1 22554\n7729 20796\n21663 38827\n13508 37788\n14346 43434\n12482 38182\n5234 30184\n12762 30706\n8740 42272\n14251 30613\n26139 32940\n26858 39251\n14391 24917\n8601 9325\n28317 38908\n5659 33582\n2273 8883\n13896 20208\n4796 47503\n31265 44874\n10648 15329\n12881 37192\n23031 48505\n44457 46539\n17348 29316\n25386 34697\n7056 12278\n976 42348\n20848 35567\n22392 27830\n17670 29367\n40586 44659\n9285 13651\n12345 12575\n27540 37635\n25702 41302\n12553 27659\n11191 13082\n29832 45421\n1418 42340\n7541 19851\n528 37875\n23303 36056\n3156 19701\n1474 10248\n18907 29238\n38780 44070\n19640 31236\n10574 21748\n12704 14996\n7380 27911\n2022 5043\n5375 6295\n11663 31728\n302 25538\n10409 48164\n35378 38388\n9814 13183\n23877 27772\n8458 11189\n6 35505\n3793 34846\n2663 37174\n6123 48018\n14417 25084\n1601 6589\n3678 7721\n14974 25953\n44835 45717\n36076 48116\n6739 22707\n15802 40825\n9844 42682\n2229 32544\n6000 28279\n17257 37221\n3965 39162\n22031 28625\n15316 19020\n33653 47979\n41793 45312\n12326 32978\n3607 20089\n5633 14119\n778 1199\n44189 45717\n7676 18868\n8693 14356\n3541 40378\n25129 46980\n23158 36979\n19766 34645\n27624 39738\n14524 15852\n8741 26407\n10658 22717\n25359 30771\n39928 47686\n6554 44091\n9783 13746\n12775 15605\n32837 34735\n43558 44813\n3558 20719\n961 33200\n19475 36460\n23890 44046\n22734 42544\n38108 45458\n753 20681\n21912 41528\n6830 34389\n1695 13362\n30270 42160\n18510 22100\n8363 9380\n26421 32956\n5036 40681\n21038 33180\n20898 36523\n556 12466\n28884 40689\n23723 24506\n18376 21630\n9760 12148\n27255 42967\n5953 33179\n28642 29551\n18203 19675\n10116 23556\n12414 48591\n32747 41677\n11060 34301\n24365 24396\n40274 44480\n1866 20954\n31439 47344\n12718 42097\n5981 42873\n12405 23228\n8648 24866\n20122 36603\n6985 28021\n17309 17538\n24062 26410\n2047 39149\n25280 27629\n33293 35654\n2109 34012\n16852 30527\n1108 7717\n87 17263\n18548 25759\n5098 20816\n16444 33120\n5249 28211\n12474 35454\n23871 26787\n6800 41483\n7876 44208\n12917 15964\n11315 43958\n5359 18971\n11795 20977\n8419 27427\n42796 47242\n41414 42794\n40745 48414\n3166 42955\n25647 38644\n18893 37105\n34166 42975\n29149 48366\n2676 32275\n8877 19225\n21379 33376\n41035 44590\n44459 47706\n29903 39538\n9293 22777\n18387 47366\n15270 23044\n1084 5394\n12794 34681\n7920 46540\n28842 44551\n14807 46432\n9893 19614\n4366 47623\n6646 31354\n17619 32838\n33256 39913\n13944 24701\n13086 36313\n7485 13230\n214 39524\n39865 46546\n15511 17377\n326 48050\n26732 48287\n22092 22396\n31215 41021\n9113 16006\n7994 34750\n42004 44107\n28817 30343\n11622 43043\n28184 47464\n3465 11674\n6657 21841\n10977 43642\n6664 12511\n6418 31455\n37676 39190\n3803 24422\n20425 25975\n2164 15014\n42765 48340\n13630 44571\n5331 21144\n9780 11830\n23908 47113\n1836 15895\n14793 23995\n259 43128\n23570 25724\n32838 42742\n38708 40290\n20418 33985\n25807 45905\n263 4234\n14610 34811\n13003 25990\n2546 35750\n16675 36561\n92 16273\n5531 36161\n18349 36789\n5925 9448\n18679 35156\n4078 22632\n22665 28527\n5941 17712\n3912 29953\n24492 27210\n84 44179\n41818 47407\n5624 29096\n5732 45250\n26615 34262\n7286 20364\n9643 28762\n17217 44330\n211 1495\n28972 40547\n27886 31485\n26185 40325\n24823 34010\n656 34714\n5409 18417\n15467 33257\n23205 41912\n8274 30917\n20711 26999\n20562 26339\n12623 21179\n12071 31002\n3659 12710\n13941 44897\n11011 20319\n9930 25798\n35112 47898\n29238 33770\n10088 37430\n29778 45539\n18408 30405\n1273 1303\n24923 31995\n3115 35344\n2528 29120\n28570 43168\n4474 44752\n6266 26355\n4400 36945\n28726 39826\n45413 48392\n27147 40204\n12747 27569\n10460 13993\n4554 20433\n46075 46110\n2297 27684\n9942 41095\n3117 45862\n47559 48068\n30796 40078\n31212 45940\n2491 21223\n12165 13678\n23183 39804\n35986 41975\n31790 47113\n17902 20247\n1342 29596\n9422 11209\n637 21970\n2400 46862\n8100 23515\n26672 45654\n1414 21999\n11771 35722\n30606 47885\n21467 24181\n33977 37751\n9031 48318\n37029 41981\n19944 33394\n31894 48320\n40528 46892\n27470 28326\n10405 46675\n6071 14486\n19442 48199\n715 3702\n41054 43195\n32426 32625\n18440 38895\n11804 40072\n34789 40143\n1468 38256\n36985 43366\n1717 19084\n37892 41504\n6044 12650\n830 9124\n17135 34943\n446 30086\n15836 24457\n27175 36406\n28986 39923\n4803 29961\n23582 25726\n27908 29894\n25608 38608\n33901 48276\n25232 35525\n12234 48434\n37020 48191\n1821 44688\n16353 48363\n10168 22163\n8425 12324\n5250 31750\n10946 45158\n3438 40078\n10274 21670\n29273 34034\n32620 38182\n29534 43669\n1756 1943\n17252 32211\n27534 45447\n1409 38487\n9210 39223\n11049 27771\n25715 42386\n15363 44067\n21262 40728\n26271 40009\n7532 11333\n8054 43391\n28573 36614\n20598 33636\n4137 31375\n33678 40417\n18659 23574\n18471 41760\n25029 32485\n2111 37783\n7764 33568\n25188 31436\n15531 17303\n694 46586\n9926 32491\n8420 40116\n108 25130\n40986 41632\n526 18406\n12270 31991\n12448 35298\n1115 20757\n10343 15197\n21319 33329\n6784 17523\n12645 38099\n36288 43839\n8243 26233\n15133 30291\n13114 34311\n6907 17551\n3615 35908\n33545 42845\n4388 29930\n15877 32821\n784 29503\n3434 44150\n27888 29790\n13064 47025\n4944 40447\n17668 20801\n34455 37565\n5019 23460\n5959 33308\n27432 30366\n15606 25547\n26422 34026\n5015 9680\n2127 25087\n12690 31860\n3242 11288\n11989 31469\n19599 37557\n30785 35644\n5240 30633\n10521 15103\n5496 29216\n5511 36613\n9548 37271\n24675 33892\n27479 45678\n5420 10204\n30919 34688\n28488 41225\n7665 20827\n14289 44111\n35396 45558\n34661 42372\n6125 33476\n7169 41849\n6372 13107\n27035 32374\n24186 26794\n2402 34995\n19052 41742\n13105 24005\n35873 43267\n435 9522\n6623 23076\n5100 6987\n2947 31259\n5999 31455\n8772 19990\n22103 31649\n22722 38601\n18572 40616\n8527 14726\n13552 41931\n26379 39253\n16134 26985\n18077 22492\n16923 30424\n1404 9533\n7402 9927\n10241 12369\n7895 32364\n13838 20522\n8981 37090\n6851 20731\n34515 35600\n5980 41031\n10195 38881\n2787 15729\n2346 8864\n8720 21527\n30464 39314\n17597 47057\n26802 28774\n12584 16658\n3311 46975\n6066 22477\n30430 39283\n24553 26968\n3087 41077\n37223 41139\n26519 43567\n21126 25924\n10888 33147\n9648 20303\n26339 39680\n34110 42786\n14374 45876\n12869 41634\n15286 29411\n742 47356\n19808 39410\n18271 43136\n40955 44747\n12401 38696\n4059 28022\n12373 44988\n203 1592\n11099 37666\n8469 20224\n38930 39244\n24776 48184\n24529 43255\n11740 33966\n19182 20960\n1329 20850\n15346 44846\n27217 47502\n32812 41643\n36038 42052\n22023 22795\n22688 28519\n36994 37628\n33681 42956\n3720 26527\n26516 29620\n40857 43385\n2909 13610\n3396 16663\n44212 48068\n8939 36934\n1869 31972\n1010 13653\n18270 40854\n30128 33916\n4238 33393\n17574 39471\n2641 43826\n5680 11044\n37108 38210\n29185 35707\n14552 21701\n40516 41838\n21014 34583\n3057 42853\n14408 43028\n29722 43325\n16948 29325\n20729 45676\n22335 48460\n7524 18643\n4941 26343\n23227 28090\n1743 42592\n13449 28660\n31261 31343\n17954 32294\n17211 35140\n3509 15832\n6554 12158\n11915 19139\n23811 39696\n33953 35596\n26544 47144\n43842 46309\n33224 47230\n18047 32295\n16035 34251\n23812 48042\n28721 38756\n20170 22378\n9211 17816\n24641 29789\n18072 20770\n14078 37418\n37620 38190\n12566 44291\n38299 40871\n11723 16669\n29371 33673\n5722 26869\n13188 27402\n16006 32043\n13798 26280\n17940 44039\n8784 31404\n43882 44967\n17860 38579\n27137 42642\n4480 16814\n22233 25273\n734 36284\n21955 26789\n19691 39317\n3849 23690\n41654 45707\n4742 31613\n2528 33378\n8512 43712\n3290 25946\n13203 34822\n7890 18374\n13942 16497\n27398 46949\n4841 35363\n19714 39147\n4209 34835\n1483 29289\n25960 45935\n19327 45996\n24090 28364\n21049 40564\n9044 27937\n15960 16942\n16927 29815\n13584 24598\n3740 6880\n14437 19477\n27171 39301\n15851 31067\n7350 36488\n8501 21282\n1104 3297\n23419 45893\n716 22728\n21437 24763\n14540 28757\n32365 41672\n15397 24937\n5888 21539\n13203 42021\n18861 37138\n5159 31107\n22886 42266\n4859 17269\n2278 9945\n34761 37360\n15194 27257\n33645 44652\n46196 47251\n2302 18510\n31947 40137\n877 45398\n11999 47428\n21796 32070\n15624 19149\n27067 27565\n39648 42484\n18069 19115\n25215 38935\n4931 31173\n16853 48488\n5600 26688\n11732 31921\n5219 7431\n33799 34010\n36623 43771\n17058 30460\n25046 35510\n21275 42287\n2116 20541\n51 31827\n12638 33902\n5781 16571\n15560 41037\n43348 47970\n7644 27365\n30360 31701\n25759 30362\n18897 19935\n44132 45970\n3691 33648\n6754 37200\n10575 31044\n8089 48217\n21897 23088\n3323 21441\n5593 24145\n1648 23530\n1806 8321\n728 43255\n7410 33756\n7014 44587\n17492 26020\n15959 35765\n12467 22701\n12363 27822\n17292 29651\n13868 14535\n37414 42488\n2949 19159\n31260 44186\n2409 33463\n23140 29690\n24025 41687\n1099 23679\n1441 4426\n4385 35368\n19250 28199\n10055 22470\n6666 19295\n22640 31084\n23293 26644\n17215 48100\n4234 8795\n21317 32325\n47022 48155\n13259 40636\n16256 25395\n7591 8426\n5307 6751\n27930 36540\n9816 22910\n4945 33484\n3410 22137\n19877 43479\n1782 38440\n3422 40458\n6649 41243\n10980 27348\n3439 38652\n1484 9128\n29554 31684\n1375 15641\n10411 16280\n11506 14569\n13965 45495\n6462 39951\n32022 38953\n31626 38589\n23108 38560\n1732 25331\n13787 34399\n31406 41743\n6207 42122\n794 18266\n2876 47122\n3425 20472\n12237 43301\n2217 34683\n924 39156\n8185 23275\n16996 28820\n4121 4922\n9327 41241\n5959 47461\n61 33812\n34159 48005\n23396 29345\n10486 11424\n4383 8128\n34548 47307\n34002 37428\n462 9342\n10729 26253\n4629 12840\n14934 42543\n6391 32344\n24999 36072\n2289 6271\n12967 19652\n6964 36769\n14891 37431\n10600 22960\n3234 45346\n14634 30136\n27307 29146\n14267 16453\n25141 41183\n10154 31496\n3338 12388\n20078 42981\n3965 38801\n2942 28184\n16632 47742\n2999 43788\n25624 34226\n7432 8500\n7449 45737\n21164 22672\n2866 41180\n29399 39629\n9999 23469\n21546 24942\n123 24249\n9669 38054\n11254 31820\n99 32986\n6195 20911\n28936 47826\n11619 24289\n7222 42596\n9145 10402\n6687 36507\n10918 47603\n7161 42388\n1135 42467\n9408 13143\n29436 41263\n36030 48211\n27083 48441\n38195 38676\n32057 39617\n5707 29078\n8268 31342\n2051 32476\n1693 23513\n775 8058\n11773 19948\n13347 36996\n20412 40282\n28534 33298\n8283 38362\n42668 48033\n4159 41462\n22349 42294\n4587 40534\n2564 39066\n37441 38308\n5613 36600\n1416 4191\n18171 23111\n48199 48304\n35672 48223\n8330 20625\n1238 21087\n8977 24652\n17073 39783\n26627 31875\n12407 32486\n26459 41171\n473 48150\n5504 40055\n15255 21629\n13214 44217\n44751 47846\n33204 46187\n12501 33908\n6579 11866\n27423 29344\n19960 32372\n13326 23461\n10713 46222\n16131 36461\n29283 44973\n41481 41789\n16985 32423\n3477 31357\n29890 46657\n30834 30843\n15303 34259\n28189 42479\n41459 42687\n15779 19451\n20412 31085\n13436 35988\n12236 26695\n26434 42145\n5292 37867\n6635 29170\n9938 44917\n18921 46605\n31729 36380\n4656 9237\n15009 41269\n26925 29961\n20175 23090\n13414 13613\n13272 24689\n331 22175\n16511 20411\n7164 30551\n19450 32353\n11187 33203\n9101 20510\n28310 46795\n2597 9918\n28514 45175\n1019 17466\n37575 39128\n29752 40182\n22031 38776\n7096 14366\n13028 48285\n9448 32729\n14352 29668\n3867 42547\n2417 38676\n28073 42748\n9688 45729\n2191 33627\n679 28172\n6674 14243\n8046 9062\n22007 25134\n11190 31411\n18986 37802\n2144 18066\n3543 21447\n7769 16563\n20559 33160\n21685 48518\n20968 36211\n40884 45765\n37985 38803\n33895 45177\n2861 38892\n28911 46538\n6850 43116\n1587 45851\n13495 30439\n25939 36679\n826 31158\n8344 31448\n12718 36074\n27060 33327\n8014 38711\n14794 22588\n11717 45073\n36235 41388\n6197 48646\n6736 11591\n1382 27609\n1291 40374\n6296 39034\n6123 7235\n5357 18677\n5515 8246\n7035 23973\n20885 37081\n21974 27255\n19228 35213\n8942 22891\n11182 23477\n6816 28851\n13563 20690\n42706 46550\n1834 29623\n25584 26304\n25879 46449\n16464 29312\n9230 42632\n7761 16620\n26446 44669\n12750 19206\n20397 44815\n17062 26231\n15907 46600\n23207 35702\n14800 24200\n25583 31726\n17879 42970\n5645 19650\n18205 34952\n955 41230\n9090 25246\n3608 42632\n5792 7028\n10410 18606\n8021 27783\n28711 40354\n13190 41979\n39518 46969\n16262 38004\n5153 41615\n15906 27471\n26676 45394\n14349 43734\n9346 12396\n18372 18798\n41398 47064\n4656 6394\n24051 47763\n17882 46233\n28109 37694\n8275 24926\n9560 16020\n29458 40831\n32277 34074\n25119 29436\n34264 40407\n7782 27314\n3141 36769\n21881 39271\n2612 45084\n30336 41335\n27663 33571\n6810 20631\n21141 33683\n2681 43105\n33764 47524\n31212 40310\n14300 35027\n1017 7071\n31492 43268\n7840 26583\n18399 46501\n33399 33518\n38100 47671\n5225 41650\n7618 16381\n7608 47988\n5057 21014\n18427 45821\n39735 42738\n3457 6994\n29795 38419\n2655 8249\n30758 38921\n5277 44999\n32901 38684\n447 16461\n31639 38187\n15273 40360\n6234 38639\n35842 41477\n2385 17222\n41468 48380\n18977 35293\n29108 45675\n33318 45102\n7569 33637\n29827 36908\n3679 5232\n26283 30025\n31644 39462\n22717 30577\n14702 48276\n20493 23537\n4024 42081\n4741 10617\n17003 31752\n8814 40741\n10068 31243\n13386 19135\n13264 29259\n3516 19864\n4224 26346\n12254 39897\n26462 37055\n5012 37572\n43014 48508\n25251 37081\n1073 15574\n17435 27985\n20475 32365\n2794 11652\n8434 46732\n20139 35827\n11212 33480\n31406 40415\n5146 47017\n1050 13206\n21854 39398\n12936 17842\n198 200\n6572 23115\n8862 46771\n4554 17858\n8977 31157\n24011 26965\n5911 36076\n18616 30088\n219 22757\n22155 46065\n36340 43775\n20610 26654\n235 7675\n11272 30671\n26839 43338\n26053 27208\n9587 10029\n29216 40406\n3773 48011\n4495 17658\n9523 11959\n14105 37250\n30110 41701\n20022 41358\n19119 36205\n6486 29913\n10730 30033\n16061 36411\n1206 26452\n15476 38793\n9055 38669\n12730 36074\n22827 29292\n23584 44272\n40909 47687\n10331 12214\n20666 45199\n13012 43553\n34884 41395\n40942 42049\n7343 26022\n34030 35803\n4399 47925\n29019 31127\n11885 12172\n37442 45106\n7600 26820\n9038 46703\n5971 26101\n20269 41166\n42522 43659\n12676 14319\n10721 23910\n12545 22246\n2464 3083\n4179 39039\n5578 8886\n24316 48551\n2535 20283\n13350 44287\n9246 33817\n7231 40996\n32783 38706\n41387 43925\n15632 19756\n10275 14744\n32617 35076\n6890 14237\n19223 32553\n367 30346\n6293 41329\n26401 33019\n3207 22848\n35606 36990\n23211 42504\n12545 44417\n2932 38429\n34321 44932\n18090 38917\n26624 48561\n25117 45242\n27132 36074\n18335 43477\n15204 35456\n2495 44483\n3095 41283\n10961 22539\n14090 20446\n8238 28502\n337 31813\n19944 32557\n5060 23298\n35871 46945\n18757 48092\n3890 42153\n17699 44725\n31348 38048\n8890 36809\n29762 39771\n38823 39155\n7201 26605\n12293 20698\n21262 32971\n1755 34207\n23351 26532\n6369 31684\n3158 33821\n10630 45421\n18936 47055\n14143 29470\n16611 33324\n24083 33937\n3085 21620\n7278 28063\n22906 36747\n18574 28358\n25925 26298\n34229 48279\n20450 23917\n21473 44245\n10599 45796\n18968 35355\n30723 42462\n957 16383\n466 26093\n26524 46063\n12579 14940\n6534 31214\n36548 46039\n36643 41262\n4913 41744\n751 24655\n2649 9460\n7075 21286\n36770 45838\n4618 46792\n4283 25043\n14690 22756\n3529 37263\n24134 38089\n15283 37359\n38338 39419\n17732 20004\n13582 26435\n11087 16779\n16739 42719\n36784 38018\n9367 32711\n16326 25087\n20916 30879\n16428 31506\n15921 29858\n18779 34351\n900 25509\n29428 44721\n3423 37269\n24001 41895\n25586 40214\n268 12912\n21840 25853\n405 19479\n20506 22475\n2243 26120\n9499 15723\n34717 44336\n936 28071\n25386 27903\n11719 37646\n15092 23549\n7478 47478\n15815 39940\n26904 36748\n32487 45550\n6127 20512\n25461 26984\n4947 43552\n12720 30919\n7289 48112\n25667 48498\n25183 32680\n2143 20966\n17029 38460\n4424 41747\n4140 45119\n23295 48037\n7240 24057\n14602 15805\n5437 44180\n5850 47748\n8128 35013\n40411 46825\n15105 25466\n18646 33122\n12176 39487\n15536 29793\n6143 18034\n27871 42999\n32594 38645\n33859 42287\n16343 25241\n1856 45796\n5714 23113\n3290 23250\n33161 47780\n7416 22074\n31719 39575\n20679 28638\n29605 45297\n29106 32165\n26588 39017\n140 186\n33471 41269\n11823 39641\n17047 43310\n32110 38614\n19574 43897\n37534 46236\n14666 30032\n4131 28308\n29459 36606\n39733 41810\n16550 22276\n25747 48167\n35971 45145\n14884 17082\n6328 20416\n34843 46583\n38335 45538\n24564 41412\n3669 22477\n2285 46339\n42148 44084\n45808 46207\n1480 35525\n36635 41880\n1249 27511\n18305 24310\n18450 37683\n35459 43695\n3542 4923\n16139 19418\n19622 29724\n13695 29136\n6868 13592\n10225 20647\n23946 37829\n29725 36168\n23049 38790\n26001 34125\n561 33423\n34361 39004\n42216 47531\n42635 43938\n39796 42142\n2649 31873\n13105 37270\n2645 16009\n10827 13369\n8435 20453\n1759 11087\n18426 34965\n27959 46557\n30992 37748\n6113 28575\n3589 29896\n1675 5262\n24752 41639\n41169 48046\n24326 31906\n2391 45951\n13223 41360\n13942 31943\n22944 39577\n20350 39525\n33142 33208\n18637 37402\n14113 33631\n25298 36675\n17336 34749\n25882 44198\n4714 15758\n22187 24121\n8971 17893\n28123 35864\n2967 32098\n17886 40510\n33829 44922\n6035 13899\n7296 47476\n27166 48540\n3841 29060\n16262 20932\n8240 19583\n5659 22396\n36309 36429\n2411 39040\n3714 45900\n36452 45693\n8652 45747\n18199 25487\n3974 16552\n35039 39531\n718 5152\n23186 45033\n8088 40007\n4171 7685\n11676 12436\n16268 31858\n2937 13050\n31737 37910\n23257 23994\n39377 46665\n7350 20410\n29610 48459\n22489 24249\n15656 27446\n21305 41231\n1206 42258\n27770 42386\n11792 41082\n10362 25401\n31490 34983\n18787 42239\n14174 47285\n9192 28690\n14183 20343\n14021 43603\n25773 36375\n16538 31974\n11493 22678\n21706 35980\n11434 28098\n4256 20764\n7242 23649\n4744 4769\n13926 48481\n12014 37343\n9880 19695\n20662 34416\n3447 42256\n13235 30123\n23815 26956\n14934 43676\n26266 32701\n31006 46776\n12713 20594\n13694 31777\n8046 44021\n20860 25140\n236 30270\n17942 32061\n19195 37630\n4522 43164\n15589 17290\n2670 46201\n30415 35543\n27983 40639\n3476 39479\n13907 29723\n7964 8946\n11138 21901\n2693 25250\n318 42236\n30433 34483\n14452 21005\n14428 37146\n37016 39996\n23333 38116\n16408 25601\n17032 47912\n22062 34095\n11512 28094\n31269 45902\n2819 6497\n2506 47611\n26553 45473\n20925 42354\n25402 40178\n8581 23028\n31260 36040\n12184 46282\n6850 47366\n6365 31193\n2276 39729\n5337 23625\n12883 29808\n20478 45608\n3877 42259\n2544 26369\n2319 44778\n43984 47263\n22945 34123\n36827 40267\n29512 35923\n10844 37547\n32884 34363\n10958 44041\n2703 32318\n22205 33162\n25450 33681\n17062 41343\n30332 41714\n26704 38664\n12401 48056\n8954 16400\n14279 46431\n1416 11583\n23497 30522\n13598 39209\n39890 47422\n10884 34655\n28107 46299\n16843 35554\n13673 30342\n2975 16630\n14493 46693\n11907 39421\n494 15958\n38853 42569\n23042 41321\n20648 31980\n8323 45125\n29270 37841\n14437 38471\n12850 46594\n13680 28981\n18035 23855\n14823 15835\n8046 19614\n3795 43548\n4953 37446\n39904 45319\n24922 45607\n15154 47165\n28615 30394\n33752 40516\n2750 27424\n12482 34408\n34288 37273\n27886 31741\n26396 37517\n82 5244\n35137 38870\n20773 28497\n9810 18659\n2476 45117\n17153 33771\n38573 39173\n5841 23742\n10077 28040\n24200 25200\n15955 30153\n7845 14136\n375 22784\n30095 47798\n6865 39321\n1532 10342\n38067 42074\n16070 27116\n33843 35392\n343 8523\n1316 17370\n37336 40763\n12048 33172\n10170 23892\n40672 45216\n17558 28119\n2124 22812\n6132 8476\n680 44902\n5646 10467\n12404 41532\n8287 39467\n28926 42107\n10779 18274\n27251 42523\n1801 43215\n12741 12844\n3075 38498\n10838 35676\n5389 40853\n7863 18333\n29376 30597\n7468 15322\n9294 40919\n8023 12804\n16027 21367\n21321 33067\n1798 14098\n2983 39048\n5625 27349\n8176 43459\n11181 12397\n1451 27427\n20126 45023\n33502 42582\n24916 44852\n16660 38928\n21898 47056\n938 30242\n11060 16151\n26485 40975\n29992 38999\n10625 41245\n1285 38398\n4064 45022\n12084 26663\n27581 43344\n15508 33779\n17058 46765\n9133 18569\n36434 40201\n22743 24289\n27268 33715\n39687 43333\n11877 26040\n7909 42192\n45740 47863\n7284 14660\n19677 36238\n1189 40351\n15976 22578\n2268 30581\n1914 6815\n944 23837\n32158 34510\n11190 26594\n6982 28726\n34090 45906\n489 38942\n766 40600\n1775 23402\n24383 47250\n17763 31414\n31076 39905\n6856 17498\n5172 10395\n9102 26268\n8611 39828\n7932 11110\n6812 19516\n20615 21550\n1422 27535\n22782 23726\n21142 25528\n17704 41786\n38960 45388\n28972 47996\n23396 34543\n14463 14984\n3768 11748\n6835 19742\n7423 18744\n3523 22921\n38976 43310\n12564 26314\n37700 44057\n20098 24408\n27338 28374\n10704 46022\n10248 41176\n27844 32925\n4227 26427\n38311 40764\n2115 16317\n17638 46969\n16128 19350\n36038 39812\n11406 43819\n1112 6760\n21250 32778\n270 45951\n25388 39312\n21965 47014\n14883 40513\n40963 44325\n7195 42118\n23545 43101\n31485 46014\n1051 30511\n2919 30895\n29247 39138\n8059 14593\n21136 29335\n44141 46992\n9373 44595\n30060 31125\n3978 21827\n32161 47999\n15542 37382\n25124 43104\n25575 46556\n23656 31555\n14903 42514\n16948 35166\n8584 13042\n13603 28277\n21691 46719\n37933 48630\n9209 11628\n20495 33628\n18736 45659\n5239 33303\n7666 38634\n11720 25426\n41 14448\n35221 44490\n13782 45451\n7288 43152\n7251 27899\n15814 20273\n35245 48600\n5105 45350\n1503 6603\n12020 43618\n8163 35605\n1473 15243\n31 26484\n20261 26193\n26488 30096\n2239 7610\n2127 9756\n18509 32151\n36302 46402\n2744 32605\n16332 39825\n13822 42365\n6189 22009\n32265 48307\n35610 45993\n13488 35367\n31362 40897\n10147 28639\n19602 31987\n28844 44970\n10797 40464\n3414 21535\n11842 24898\n19938 30525\n19125 36426\n10086 20443\n25425 26485\n5097 43320\n22498 29192\n19640 47603\n24766 35601\n30306 40896\n13986 25774\n2752 20697\n22105 22557\n7557 43421\n2261 34024\n29388 29688\n8589 34805\n5675 18764\n1663 44802\n18085 46467\n5736 48581\n7642 40620\n8804 35682\n14554 41392\n28121 41364\n10241 16984\n3059 22925\n11523 47760\n23157 33336\n8130 25153\n14164 48210\n37815 40815\n13357 43035\n173 25472\n3117 6444\n10145 17982\n32624 46582\n37668 45012\n35787 35930\n224 38277\n1935 19694\n7270 45242\n8338 14913\n11753 38582\n27916 41430\n20670 47641\n8326 33316\n23973 40718\n39652 47074\n14538 16892\n10664 41683\n15959 16622\n2604 27594\n18584 34672\n9897 21737\n2381 7869\n2343 37680\n24945 35566\n39236 47635\n28115 40966\n22348 37657\n12502 43613\n1883 39300\n13395 37060\n8078 22128\n17654 23170\n33792 45036\n33955 36893\n24799 48318\n18883 30063\n2453 23650\n7905 28037\n26673 39011\n30247 40493\n10999 25651\n3651 6141\n22598 44934\n21814 38201\n33910 46634\n21766 38941\n8033 46286\n32962 35070\n3973 31668\n246 19755\n6246 21502\n1277 21888\n29790 43566\n35044 41097\n12065 32792\n15176 35789\n35667 46313\n15772 20623\n18915 26083\n16086 29192\n7198 16527\n13252 41201\n5529 41108\n16633 34666\n27231 45888\n38626 44440\n4206 47482\n16897 28283\n2420 48399\n5193 37034\n14071 16772\n20398 36962\n26684 30485\n1745 7503\n30270 43004\n8387 9729\n10701 22984\n27759 37880\n17610 41220\n19282 47973\n5918 25677\n24390 45485\n17771 32084\n7820 34308\n40773 47591\n8470 21977\n4905 33487\n26475 28667\n11024 25403\n32098 47596\n10360 10409\n10310 37952\n9392 41020\n1174 27041\n20672 40352\n14117 47964\n34450 48430\n44724 46410\n6818 19661\n21926 35372\n3061 25422\n32725 44865\n26482 38536\n5140 43428\n21958 34368\n9879 11120\n5666 32250\n10512 23084\n9314 20037\n29090 38268\n2934 25810\n2067 44336\n29561 42055\n20991 37486\n39227 42760\n3373 37293\n21107 28625\n11659 31564\n38351 45982\n1253 11450\n30516 39115\n19849 48579\n28412 34530\n5485 8115\n10338 46951\n10133 20216\n6431 14613\n21591 40154\n21153 30873\n35360 38513\n14959 17930\n5436 23553\n14384 28208\n22407 46353\n5652 15809\n42003 45636\n27277 45862\n12281 19688\n3439 37694\n10737 23040\n1397 42580\n8369 23487\n28227 38539\n7591 41069\n7239 19403\n5879 29648\n25791 30425\n10624 19074\n30521 37003\n37444 44146\n11919 22503\n17120 38553\n7155 41337\n5459 29553\n3665 26610\n27007 34505\n38332 47715\n23317 25772\n19313 41235\n20679 22296\n29378 37113\n14381 28878\n14752 18904\n36418 45271\n15449 37078\n9172 36303\n879 45872\n783 47190\n10460 46451\n31770 34281\n24327 31769\n7085 20703\n45272 45716\n5512 40977\n15383 20854\n240 36359\n10030 28965\n16969 39796\n27747 41914\n13055 25484\n1448 40618\n7534 20525\n454 12444\n12 43189\n19272 24745\n10162 15783\n7502 14395\n4931 24746\n1776 18348\n27881 29746\n545 33287\n9793 24092\n12380 19415\n12411 43029\n12196 28200\n8660 46694\n40302 42447\n26944 44108\n4764 6639\n35924 46547\n35269 35972\n35710 41195\n5448 15317\n21226 32178\n2562 8527\n8163 47990\n1487 2739\n17559 17657\n1389 17340\n7082 18308\n5942 19071\n22180 31197\n44036 44647\n19666 24720\n44732 48497\n32782 41765\n2347 26004\n3214 48424\n6387 27474\n2681 14730\n6006 16600\n8150 42149\n9262 38196\n17292 17835\n38266 46826\n12276 15373\n31927 48649\n2949 21458\n5564 32151\n23841 33439\n16863 28536\n7199 47130\n212 20380\n6517 33490\n2795 26435\n10126 12362\n15289 43468\n2430 37313\n6337 41005\n24456 27608\n15847 30921\n2013 33776\n16917 39790\n17786 17824\n34649 45813\n12946 16909\n1060 48178\n21693 46768\n7709 13087\n36007 43230\n11165 48157\n2908 16760\n10705 45371\n33195 37899\n1655 17023\n21473 38989\n28494 43050\n2031 37994\n7050 37975\n30971 45467\n10174 30438\n25844 31009\n16508 37455\n2299 28859\n15784 28254\n7093 11951\n26555 32005\n7817 26456\n7851 47511\n37568 42900\n21120 47854\n13757 44134\n5151 32004\n5561 7194\n33238 39639\n18874 36261\n36498 45847\n28918 44111\n14163 41499\n25611 42307\n37091 44029\n26173 26374\n2319 16468\n25034 42306\n9437 37732\n15129 41145\n3690 8145\n41858 48078\n24405 26004\n4326 43422\n8381 17863\n2241 20762\n24471 31271\n17064 21131\n25321 43456\n16445 28715\n3457 17971\n610 42417\n27846 36532\n21770 36778\n19079 34061\n2737 16052\n20432 27973\n6677 13427\n5168 7465\n23784 44391\n17881 31166\n7016 36617\n20822 21859\n18719 29606\n16409 20681\n9117 46192\n6067 25956\n7370 19059\n993 32230\n25495 27034\n13033 30755\n16216 26365\n5615 26096\n16092 21954\n8162 27469\n8543 25913\n2160 15139\n2255 46268\n15991 38527\n30932 40512\n25932 30631\n37571 42908\n1445 24594\n11190 48568\n35711 44273\n32979 38253\n31337 32024\n15792 28760\n35678 48399\n1136 38037\n36901 40292\n30816 33415\n21218 47562\n11145 19809\n8398 31197\n6966 44028\n18367 33677\n21922 44947\n2902 26010\n8211 14185\n10362 41256\n4012 34420\n799 42143\n7659 19090\n5037 42981\n26694 28275\n9378 42382\n24314 40691\n6207 23479\n6759 41315\n24195 43725\n24650 27537\n27807 35482\n12584 42614\n29110 39450\n25700 48008\n8897 26350\n9584 32815\n7184 38493\n18029 37638\n89 1066\n35243 45076\n36503 48285\n33957 36043\n1520 4074\n16480 30938\n22374 39059\n1788 25572\n33054 36248\n18068 45178\n8605 26067\n16448 23405\n1528 10298\n36930 37359\n3614 33878\n28526 34637\n16463 23895\n7243 8045\n22281 45346\n12464 27029\n10548 14495\n3341 19276\n1547 6496\n9807 38219\n17885 22976\n9812 46317\n35537 36787\n3371 5944\n4780 22385\n23568 28988\n13016 33591\n2616 17813\n11838 22755\n6580 15066\n33307 45077\n167 12936\n22413 38140\n3801 22249\n17408 38719\n7486 19324\n12626 33665\n17480 33918\n38252 41358\n35528 38714\n7542 36220\n10610 19966\n8312 25907\n14245 41434\n8777 30375\n3954 17968\n11880 34295\n5298 20599\n4847 8007\n8047 16594\n13256 27744\n25659 43807\n19586 30195\n2047 4204\n27757 46974\n15302 46779\n11675 13411\n10698 17872\n4019 14297\n86 26386\n7524 46126\n16839 19756\n17800 47607\n19945 26399\n34351 37883\n15122 22995\n14360 20842\n3722 25683\n4322 13279\n1439 23665\n3488 43167\n20400 39709\n2773 42350\n15355 43156\n27953 29072\n1669 10782\n25985 32645\n18116 46074\n22174 24587\n22577 47777\n25832 38263\n9162 24908\n10705 39587\n396 21192\n11911 12055\n12982 42479\n15197 15452\n3138 8160\n43189 47196\n31042 31602\n42960 48120\n40070 43578\n31477 47123\n23426 25577\n5390 21666\n8001 21304\n1800 32586\n4044 7523\n23281 37850\n32351 46283\n1019 38627\n1266 15141\n32299 33507\n40275 44125\n29960 45784\n20801 23645\n4428 30577\n13415 19993\n26485 28910\n6740 15696\n23159 32262\n11515 38142\n2782 44541\n24365 47526\n552 14378\n263 34961\n3983 29805\n6270 35563\n8330 8970\n34997 35797\n35380 42197\n42177 48005\n34610 39407\n5926 19503\n25663 41898\n19056 41014\n10584 20029\n7570 22912\n19537 21538\n5012 34642\n23582 35019\n36709 45343\n989 10598\n1395 13704\n3016 42594\n20508 47396\n13652 15602\n6785 41766\n19912 43862\n12077 47244\n16916 19823\n27464 36492\n12992 22403\n19135 47962\n5870 25472\n24142 44281\n1105 10125\n4609 38916\n8426 37380\n23050 43970\n30770 45722\n22611 27032\n25852 48594\n14373 15272\n10974 12031\n3854 31468\n37254 40383\n26520 35923\n27430 36079\n1668 45725\n9657 19276\n31654 41024\n10118 43878\n16775 33997\n2798 9029\n5374 35981\n16652 21935\n14236 32204\n3021 10867\n10892 41405\n3998 21378\n17840 36259\n28624 38773\n17460 29019\n5325 18859\n34024 40178\n32822 40269\n7020 45480\n19950 29534\n7 20026\n1 42276\n7224 47333\n16044 44660\n1933 27642\n7876 12826\n31173 47657\n540 20795\n17966 22625\n18390 47306\n10602 25699\n10736 37143\n26220 41382\n28133 40995\n7473 32710\n27736 29185\n29597 31588\n20369 21779\n26845 32614\n4316 18853\n7879 24639\n13052 36829\n32504 40958\n24795 39040\n15704 28585\n29338 32636\n14544 45689\n15184 34905\n7558 46114\n15520 44982\n2732 16344\n13204 45567\n22199 30886\n38554 38851\n9113 22729\n21567 37927\n10486 39824\n18564 44105\n5987 46493\n2502 33483\n9000 48154\n21521 32405\n4148 21826\n12456 25123\n40724 43047\n32550 40842\n468 3677\n20642 40745\n24338 34427\n28299 45958\n11619 32454\n14425 21430\n45451 48553\n2703 33152\n9158 36647\n484 8774\n17055 42316\n9629 38251\n15396 18431\n3557 37677\n19008 36971\n32192 46018\n36702 40557\n15105 36043\n4142 30760\n12888 32965\n1815 11667\n14953 20901\n15185 36604\n24714 34564\n20316 32984\n3999 17586\n5978 10801\n44397 46133\n19990 37755\n21487 43326\n15841 31210\n18283 23191\n35899 43066\n4390 35172\n2748 26222\n21890 40047\n26192 38322\n11926 12238\n6536 29735\n12349 35900\n3522 22416\n21394 35609\n4703 47224\n3142 11083\n19217 33561\n25849 41648\n4493 18151\n4504 19975\n21645 35014\n17516 36107\n27355 33771\n3930 47459\n2737 29879\n1945 15740\n10683 43951\n29591 33844\n6213 8253\n743 31197\n10128 24538\n2956 37587\n38613 39383\n13749 43114\n14750 24613\n16035 19222\n10445 14822\n21969 35082\n31786 33886\n11169 46002\n1272 34742\n19754 33277\n11602 24350\n26403 28818\n24577 42035\n6370 31013\n9109 39264\n7481 46454\n24935 33932\n824 42742\n21621 48480\n38457 43405\n2023 22796\n26638 39012\n13522 31413\n3167 45070\n15304 24575\n14093 18857\n27407 36836\n5195 48127\n28386 34561\n25553 31768\n7648 19702\n4484 11414\n3080 22307\n5281 34255\n32076 34048\n1663 5211\n1658 2623\n20661 34113\n24557 34821\n14176 18325\n10268 29019\n15371 22063\n28017 33252\n19155 34729\n3884 30736\n8814 38053\n7105 34079\n18825 26756\n35337 46456\n17025 37861\n5813 19665\n11865 32852\n41868 47089\n976 17361\n26916 42059\n2108 7954\n25500 28154\n10755 24547\n24867 39192\n23320 35990\n33532 39300\n1484 22262\n11420 36378\n36760 47718\n14351 24175\n12681 30629\n8068 35591\n8242 16873\n13352 14418\n26860 47155\n13753 29928\n14454 35854\n8263 25484\n6469 29972\n17246 47339\n45777 47692\n13637 15804\n11427 33749\n9473 34085\n17869 38513\n1495 4546\n6938 44514\n23447 37115\n8909 13815\n5021 27532\n2897 48133\n15974 37410\n30311 43283\n8984 13340\n7731 32002\n2908 42654\n31114 39496\n17700 42097\n3637 11123\n31582 40090\n2426 5586\n9329 17074\n25595 37760\n18488 45310\n4714 14624\n15878 33791\n7654 37755\n9579 28790\n14976 37504\n25755 28995\n22878 43862\n13628 18782\n11367 13018\n10899 46913\n16985 42493\n22734 27713\n5871 42516\n11270 35237\n7333 43179\n17956 35594\n5646 20604\n43686 44514\n5976 28556\n4191 15026\n32609 46838\n3715 40994\n18669 22454\n7868 21638\n5624 45546\n21270 46119\n42384 43048\n535 24523\n12046 37854\n20071 28043\n4347 9714\n33517 37487\n6071 33515\n35619 36821\n20080 24932\n28671 45344\n12604 42285\n39878 40664\n28125 44458\n4851 32264\n26427 31581\n9435 10198\n16028 18562\n4225 44417\n11363 46637\n30097 33864\n31348 33789\n9555 25102\n3366 23423\n24681 34276\n15908 44424\n19128 30243\n9533 46171\n15009 15666\n298 13209\n7232 26080\n8174 46093\n29821 45189\n5960 37258\n5409 23618\n7119 25682\n38279 46304\n15355 22517\n23019 46202\n18778 35239\n10908 25872\n40538 46035\n42654 48366\n12443 23858\n16409 19562\n9504 45544\n3037 11400\n10487 11299\n39001 41180\n16206 31937\n2505 19366\n22678 29269\n2529 20641\n8787 18974\n27105 36981\n5729 45338\n24121 29070\n13013 37674\n9881 43019\n47543 48115\n5465 12193\n16757 32397\n27512 27826\n44116 47822\n9627 33235\n24685 33195\n2534 36555\n25960 38153\n20717 28826\n21874 27164\n17259 33251\n36461 47995\n8649 14604\n31854 45481\n7362 35787\n21365 26436\n17085 27232\n11245 47564\n34887 47659\n16204 30668\n18021 32686\n9804 33983\n7884 46022\n1886 33361\n6703 43210\n2148 47458\n13709 26630\n1122 47991\n21345 28031\n14116 21449\n25871 29644\n12457 33364\n4685 6220\n4890 22122\n1565 10801\n9532 38254\n12944 37119\n28017 33043\n2836 48134\n23133 41291\n43319 44839\n40332 43598\n10290 42628\n20270 25683\n29625 31128\n5759 44862\n5393 16214\n2386 16332\n23612 41463\n6293 7262\n15757 41632\n32499 42330\n17036 40040\n1231 16855\n145 11287\n4381 10292\n11303 20622\n13811 42853\n2880 13828\n1936 31110\n10661 12203\n12393 41798\n9407 42150\n13591 20193\n32194 41425\n653 15350\n15919 25765\n4804 37216\n4455 18558\n11602 27815\n9039 25389\n16867 42695\n28701 40435\n4566 30033\n4389 19844\n41117 42597\n787 5089\n3260 48223\n5988 18328\n6249 26365\n3767 41947\n4123 33953\n16858 44026\n30326 36007\n552 28650\n5889 34660\n19540 41974\n13360 42147\n1218 44437\n19897 22086\n32577 41761\n35524 37673\n34365 48337\n29104 46789\n11541 48110\n26537 28953\n24045 31766\n22232 47593\n7548 40300\n19127 22759\n21222 32958\n28863 36633\n12636 45546\n32664 42533\n6929 11066\n23337 24765\n13501 37063\n9267 43238\n36861 41017\n3616 13865\n26635 36494\n36283 48210\n7457 11595\n417 34573\n579 40640\n4866 33495\n37721 44593\n22514 27207\n1227 5972\n14995 37068\n22656 23163\n12870 29940\n11156 20342\n15433 44251\n32472 40477\n30113 36207\n10290 25780\n9540 24918\n23113 32791\n32039 48481\n4099 29282\n25906 42841\n12263 24877\n1375 41481\n15236 18139\n38135 40683\n15442 29151\n28620 35419\n22513 22520\n1596 6887\n2348 46546\n3547 47693\n37699 44416\n12982 47919\n21828 41926\n4658 8403\n30526 37435\n6808 10217\n11529 16683\n14598 38855\n38543 48528\n11320 46693\n3424 43137\n6083 47895\n28515 39194\n10100 24155\n5479 28495\n8416 36013\n23682 30927\n23274 32818\n30908 44649\n26178 32010\n20277 48594\n26735 36010\n11994 12543\n5676 26793\n10785 34087\n40289 45714\n24530 25626\n10842 23530\n13177 36245\n19925 35777\n10690 23922\n1204 48231\n8869 32061\n19933 42526\n17554 39515\n12618 42355\n20932 33425\n23644 33107\n10803 35582\n3868 16562\n29978 42941\n18522 27984\n20826 47347\n3257 9763\n13788 26868\n25959 27063\n22383 43422\n13247 41430\n2976 33050\n9367 38524\n3928 40329\n36075 44767\n17850 27797\n3809 14068\n10053 41178\n7932 33713\n2560 46974\n3314 47107\n19583 47745\n4005 10889\n32525 45559\n2275 37306\n22632 24608\n22897 41326\n24596 42184\n34778 46683\n2457 18032\n27892 35624\n19105 30340\n5505 21041\n37022 47641\n15051 33925\n3284 21226\n5203 24311\n26521 31411\n42446 44840\n10328 33355\n9977 39840\n9253 12739\n16884 43825\n15143 34747\n25953 29635\n13959 15468\n7496 20635\n19365 31572\n39819 45325\n12005 22476\n32226 32486\n8824 44385\n23345 38818\n6034 26463\n9002 40064\n6337 33706\n23543 42151\n2143 35221\n30539 38755\n37057 47109\n16063 24557\n25816 41241\n4355 7746\n7812 9930\n34709 46828\n18669 45465\n19118 36561\n32744 39871\n12639 33629\n8930 26965\n27679 32988\n20621 27840\n4391 33421\n34024 43767\n21479 41068\n10849 41427\n3473 9841\n4733 30896\n23784 45597\n4180 37336\n1626 7418\n6674 20383\n20396 36924\n11030 30164\n76 26815\n27502 35787\n2460 14820\n17073 17511\n9321 10108\n42416 46315\n6402 39800\n1583 14492\n19026 32313\n17787 46846\n26009 29371\n15454 48655\n7846 35746\n5841 34491\n18548 20321\n28904 41513\n34373 42934\n8289 8516\n37612 38577\n11179 22276\n13175 28497\n6501 19595\n20658 36140\n13875 23904\n7185 36017\n21600 30376\n8329 17073\n16055 30919\n344 40721\n17008 35565\n19937 36096\n31544 48314\n459 24825\n20184 32424\n17515 24978\n25685 43887\n18966 19593\n10526 17657\n17989 43382\n22833 46480\n11791 20615\n19919 23647\n8676 40583\n16373 33311\n11221 45370\n10608 44841\n12992 48304\n13360 48602\n4224 45777\n6650 43964\n5449 14779\n1776 35192\n4922 36090\n10723 24520\n27636 45568\n2986 19711\n34821 37660\n22151 35104\n4972 35517\n6120 34874\n9366 30230\n22723 24047\n2659 28027\n1660 20755\n1917 47939\n3299 3610\n13449 20522\n5293 40471\n12385 43910\n31763 34587\n28290 40662\n2633 36872\n8856 40747\n43451 43719\n5158 46575\n19439 29892\n15062 21638\n2969 34139\n3535 39898\n6065 28291\n8696 32972\n3962 20462\n33542 44013\n20537 30078\n25974 26573\n471 16306\n197 42160\n28008 29050\n5041 27605\n12035 31905\n16590 35410\n11086 17424\n11441 42733\n197 31339\n15037 47122\n11826 35659\n7444 41117\n38110 40695\n11579 12630\n7034 12579\n7916 31380\n21487 44927\n7878 26691\n44913 48675\n33990 45642\n6132 10509\n15129 29858\n20546 23825\n22047 33286\n7754 26667\n6297 7719\n35961 38218\n9215 14783\n4928 16489\n21107 46936\n15447 16289\n32954 43067\n42013 43126\n24716 36948\n10593 20957\n41426 43634\n11513 43555\n8584 38392\n18805 27672\n10495 12631\n37108 44047\n1731 29660\n26945 43210\n4797 36494\n10144 41481\n11684 18572\n5909 8418\n1651 16440\n33431 42345\n25856 35928\n21385 30202\n23968 25484\n31120 46949\n28677 37682\n20132 34494\n28689 34209\n12281 35846\n3560 13542\n12455 46496\n24987 39725\n346 6495\n22695 26301\n26590 46642\n29241 35020\n39442 39462\n15140 17248\n31503 46357\n30706 42014\n17400 30613\n10595 14912\n33455 47152\n13753 34758\n1477 17697\n7497 32950\n2857 16439\n21584 40034\n4345 40615\n21855 38073\n11277 37570\n8347 32913\n19600 31885\n25719 36832\n9634 16597\n3517 8276\n17662 30831\n36752 44959\n475 23350\n15469 30439\n35563 47080\n7741 14266\n6401 43554\n6593 23549\n20433 41790\n18665 40711\n29425 31248\n8758 18566\n32950 42719\n20673 48549\n682 22739\n20410 47952\n9456 9958\n25367 25805\n39554 40393\n38644 43208\n19308 22486\n3821 13783\n14198 14337\n2118 35687\n1889 35327\n27090 40791\n27215 46969\n2040 19568\n32945 39728\n13646 41057\n2862 15450\n21572 45210\n28357 44151\n6431 14159\n5405 31227\n33586 47068\n1797 6834\n21521 41887\n27170 40439\n4288 41238\n23217 31526\n23600 40493\n33048 36910\n30731 41949\n27105 47440\n3772 6830\n19524 42032\n15040 22652\n17009 34073\n12958 45917\n25168 28965\n8302 29720\n22104 28661\n25873 30039\n3068 33402\n4902 9559\n9541 43617\n15525 48408\n9413 22403\n14835 36533\n21121 48442\n1867 27677\n6825 46903\n6133 29419\n32964 39377\n6217 19333\n27699 46315\n18643 40702\n1811 48305\n29913 30803\n19696 34058\n9533 24508\n37452 45456\n7760 16973\n12181 40756\n6004 43412\n18763 37313\n22474 36317\n8133 22367\n8342 19600\n20642 44714\n12770 46220\n4704 14352\n19130 44132\n492 48323\n8227 20159\n429 24913\n41599 42847\n25065 33028\n4211 15559\n21370 30058\n18922 28403\n19961 22451\n9280 19865\n12870 40193\n4526 34505\n45683 47878\n42177 45406\n13448 33939\n30378 30819\n16856 31483\n43168 44137\n16141 43566\n21572 34474\n5893 11960\n13066 15879\n31387 45132\n22527 29954\n27578 41512\n14540 15050\n1531 15430\n9438 22328\n23266 44393\n1443 47689\n4721 40833\n27168 41124\n4920 36859\n1396 28159\n4522 22493\n10482 12724\n16475 24095\n5751 6465\n19948 21287\n12286 17638\n1460 10040\n19102 25262\n25591 26898\n6222 28620\n15737 37799\n7711 34246\n2494 18502\n37964 46047\n32385 36465\n31839 38247\n8342 33180\n4794 36217\n8811 17765\n1209 33431\n6693 24482\n16563 45467\n1458 26644\n26996 27344\n2269 25817\n6456 44426\n33724 35544\n9016 20082\n6105 36172\n1339 13009\n28076 38159\n36148 48643\n23243 38327\n45496 48353\n12678 33073\n23740 27095\n26462 28724\n17072 40915\n7031 40017\n6971 24838\n3938 10857\n32270 42196\n3323 34775\n7634 28468\n27869 47946\n18183 47677\n10504 48187\n21060 42700\n8247 29063\n17824 35107\n22284 42533\n15006 27483\n40707 47649\n21823 43584\n26176 36892\n43291 46585\n4804 33861\n25125 38325\n23825 41998\n39662 48579\n33770 45721\n9611 21633\n11427 46777\n8045 41517\n18651 19399\n1623 26735\n8615 42252\n28565 44777\n26424 46473\n34314 34572\n7509 8147\n20850 46979\n33323 37379\n10769 18125\n23423 36837\n5965 32018\n8344 23675\n2811 11516\n4905 36369\n19105 29954\n7020 46626\n6706 46526\n6941 44925\n6954 43280\n6130 21048\n7176 43870\n36091 42517\n21934 37612\n4734 13262\n7123 35448\n3981 25987\n28981 48606\n28101 31647\n4160 14805\n6976 14776\n31829 46584\n11846 29092\n17293 35606\n17726 18399\n859 6576\n26081 42060\n8378 38483\n6873 24419\n13696 23564\n44141 47135\n12014 21706\n5514 45520\n4717 46968\n35977 36621\n11973 38745\n9591 28289\n3147 16860\n8653 43654\n32303 41546\n23799 38202\n14534 21581\n512 2157\n7829 34163\n2096 14499\n100 25007\n1920 35040\n8043 37211\n18858 44372\n8719 17638\n15741 16031\n12320 33899\n6912 23437\n11201 40110\n34874 46750\n10321 23982\n22917 39890\n36639 38677\n11532 21160\n31346 36506\n741 42818\n143 24956\n28389 36101\n162 26687\n29580 42023\n36175 43189\n11716 32692\n4320 11583\n27947 45148\n10878 44315\n8963 47226\n8043 24800\n5833 41457\n4364 31363\n12263 15574\n7889 19172\n20651 46801\n9997 36526\n26992 41701\n6187 14630\n23660 28588\n20141 30994\n530 35124\n15307 43331\n5762 37225\n316 22534\n35507 39232\n38337 45742\n12444 40754\n2251 29367\n9165 36801\n22439 27900\n21973 27639\n4905 29085\n8974 23649\n31474 35538\n8520 26844\n29838 44562\n7552 13797\n362 40973\n9426 47244\n26331 26363\n20113 35820\n17934 18371\n17276 24148\n10534 12347\n14983 28369\n12767 23046\n26551 42392\n3903 15135\n1775 11570\n8230 12269\n10317 46350\n25218 36006\n6198 37499\n39377 44309\n23880 24483\n27732 28892\n1905 39210\n390 46517\n5179 34820\n3066 22951\n2233 41865\n15755 45803\n4260 16924\n13510 35620\n31372 43263\n22058 35636\n2835 45868\n11318 20352\n562 32144\n1458 11691\n11711 15833\n15104 15948\n16605 22705\n18059 46806\n10212 31121\n7477 19104\n39165 41449\n12993 16367\n820 38256\n21033 34703\n15816 35690\n31489 40604\n5332 43213\n8328 22418\n5131 20447\n5252 35938\n16422 34503\n10080 31004\n25304 26622\n27624 30750\n12337 15516\n1332 22638\n7729 37112\n23746 33182\n17336 27643\n24156 47462\n5496 37151\n35838 48679\n26523 30685\n7533 30931\n6024 37173\n1925 12112\n32249 34408\n25205 40435\n11641 28749\n26130 40749\n18281 21147\n3134 24429\n4604 5343\n9493 44457\n3472 24254\n3312 38511\n33732 38862\n20632 25179\n21198 22186\n7716 33880\n43868 47971\n22705 28298\n2033 3762\n23314 33923\n42395 42926\n32264 45416\n19789 37503\n22309 45188\n3580 35586\n8852 47215\n33659 41397\n36298 46173\n288 28435\n7167 11707\n24317 39268\n765 38834\n7877 26651\n20879 45766\n13993 44544\n9750 13782\n3951 11545\n39728 41144\n37492 42094\n6919 26744\n21639 35694\n3395 22499\n6286 38778\n10250 11973\n35164 47000\n8845 21961\n19338 38076\n41108 46629\n11792 19487\n29530 30422\n13968 42677\n42926 45487\n46591 48460\n28906 29489\n33134 43077\n25419 37595\n3798 27541\n38829 44676\n6888 48075\n27908 47167\n2957 10586\n16893 28156\n8444 47423\n16209 31995\n18448 44379\n5605 40306\n35835 41456\n43887 43908\n4991 27569\n5154 43583\n16285 26566\n23012 36373\n24184 36478\n952 7305\n1148 24893\n1628 22295\n36077 45141\n30208 41248\n5936 30996\n13243 25117\n7448 35498\n17568 19345\n5497 6809\n30506 42733\n33692 46604\n36963 40431\n3864 32009\n22181 45635\n5400 41990\n31605 35090\n403 29508\n2508 12915\n14694 25297\n14911 33765\n11280 37227\n11361 30233\n6956 46242\n11378 15247\n21267 40778\n10673 32847\n3745 27068\n13696 22648\n30907 35254\n33023 42619\n9191 11847\n1263 47952\n3473 41728\n10887 17315\n1715 17313\n17846 41104\n3243 25730\n10859 33972\n15066 27557\n5017 33925\n25089 30939\n12424 32050\n2048 19612\n7385 35227\n26129 44013\n21521 41671\n29394 38156\n3544 14497\n8374 32875\n15632 22864\n31026 40222\n6904 32079\n32223 45395\n4944 33619\n12180 26334\n13759 36212\n12406 19013\n10905 11124\n14504 28374\n21551 35944\n20405 23599\n37716 41044\n457 28694\n7672 14610\n16101 31166\n17110 30837\n24163 24964\n4992 6147\n1900 42506\n38992 39257\n9988 29075\n17263 30136\n2163 42490\n2311 39690\n5263 24386\n3203 46400\n8164 23777\n7188 43115\n37422 46606\n22355 38012\n4984 45312\n2723 20539\n12460 34634\n9230 12477\n3541 32987\n17340 35910\n29661 38506\n13229 32778\n3224 23448\n14924 35319\n10175 20823\n1153 24075\n11056 29730\n23855 42042\n16226 16974\n5992 9753\n7561 32262\n10568 46009\n108 43125\n12 39918\n2449 46918\n11282 38748\n17391 46355\n906 7148\n1604 10274\n30083 47846\n9070 43411\n37462 38786\n4892 15424\n35316 35906\n468 25603\n25928 35837\n13531 38986\n2133 15672\n23238 25610\n24263 31755\n21775 27385\n8576 11746\n17225 40282\n23055 33249\n20526 26416\n6257 11691\n7337 32430\n15934 30347\n41669 41870\n23288 39744\n2021 33419\n15390 30935\n37224 45206\n8295 31401\n31129 41251\n6571 35207\n5243 36458\n40337 42055\n12755 22347\n12355 29914\n14160 23482\n33617 44775\n4269 23581\n1242 18153\n29350 36432\n20262 31622\n29929 34323\n42698 44505\n7814 8126\n19187 31899\n23239 34176\n8845 44348\n1416 37252\n3650 31098\n24712 37937\n24264 40257\n12922 38772\n21776 37542\n8698 22803\n9275 42305\n13772 48614\n37964 38165\n24497 24848\n9002 28377\n31605 44669\n18909 19473\n23114 36319\n3277 23422\n10613 34179\n26485 29681\n4216 20990\n21295 46802\n26526 39560\n5958 20937\n36147 36887\n39129 46753\n26595 34695\n9767 16546\n4136 35468\n1908 20641\n23026 47002\n28623 43741\n9834 44584\n6704 29863\n12159 14321\n14882 33274\n31787 43914\n32625 33405\n6628 33217\n285 13280\n1613 47815\n207 2677\n34769 45065\n23185 33187\n19873 20220\n2169 40327\n8066 27343\n6784 24251\n39647 46270\n8501 48638\n25448 48654\n19839 43694\n20120 20286\n1308 1384\n27996 45752\n3226 44032\n25910 29497\n11484 34801\n32368 41923\n27477 41081\n23841 36367\n6245 38021\n22156 36316\n40601 45778\n23426 42384\n5227 37785\n38561 40075\n14836 19132\n2023 36889\n36146 41267\n25471 45423\n19319 34380\n6473 24968\n13501 15520\n13018 30520\n16777 41459\n2970 10189\n39448 40089\n16081 31621\n20138 27774\n8129 41410\n12186 32518\n8365 37950\n33174 34247\n11838 19552\n23081 42014\n8886 13921\n7889 45667\n35611 45085\n25001 40600\n2470 35994\n14563 45805\n16570 25496\n9607 26722\n22424 34179\n19095 25925\n21064 45791\n1342 37569\n14024 47613\n16893 34621\n790 27675\n919 34946\n35363 44454\n36855 39749\n8201 10294\n1178 26530\n18852 45547\n20459 48496\n4556 13588\n17189 20152\n28369 31207\n12817 38500\n8726 47846\n13193 34244\n12475 32310\n12232 22474\n17923 24925\n4625 23137\n20479 48595\n15212 18813\n8118 23192\n34549 41235\n38693 47689\n15842 28136\n22490 40958\n18721 22354\n29991 31352\n15904 31949\n19428 20127\n14458 39441\n23473 32182\n5419 31166\n40619 41055\n36328 41370\n24779 38771\n11109 35151\n14042 42187\n8031 35609\n11368 40255\n38780 39441\n12779 41412\n7341 21054\n1381 34076\n10833 45665\n5212 21876\n157 9360\n15978 40873\n12666 21805\n16121 39799\n1894 32898\n26952 42763\n43652 46276\n33392 35597\n435 6224\n21577 32116\n7295 46652\n11678 29685\n9760 33212\n22050 38931\n11101 43067\n11152 39449\n9418 20816\n38950 39675\n34015 37603\n536 47547\n11661 15714\n25419 36676\n24705 25309\n27787 48630\n12548 40306\n4035 39565\n4986 18790\n24121 33438\n19193 23222\n193 44786\n40989 41393\n5190 31323\n25734 44782\n6860 33625\n10356 26284\n24332 42873\n20016 45455\n37159 43078\n18291 36705\n31891 38088\n20073 34056\n41271 48196\n9362 23136\n638 11840\n6084 11962\n14269 27901\n2107 39291\n14608 36938\n32671 44409\n4008 8173\n36901 38433\n10777 32954\n27671 28642\n39039 48494\n26379 26531\n15855 27067\n43577 46304\n862 2499\n37322 45729\n5048 48417\n22928 26834\n4581 44102\n13972 39442\n10375 29792\n2129 42152\n3634 39972\n26677 47315\n28264 40845\n125 25860\n4539 17611\n14515 19972\n1320 32765\n21753 29454\n24185 25083\n17547 31281\n18468 35869\n6099 18813\n1217 29205\n3516 47702\n7007 15825\n4915 37618\n17382 21305\n18043 23863\n27258 47947\n42030 43293\n7977 40102\n35863 38638\n22264 42357\n8793 11117\n17605 20371\n9426 31216\n2378 22830\n19571 35741\n38216 43141\n5086 44758\n24877 29388\n13281 19552\n8676 35826\n7222 16233\n11978 36489\n21787 45916\n14358 42691\n24062 44082\n8757 29571\n19077 34539\n21653 30281\n2486 14200\n2545 42649\n13200 34794\n17240 44765\n27836 47323\n6634 8959\n5723 31066\n845 22463\n39080 45637\n9284 44640\n3161 7506\n30466 37710\n4714 42699\n40962 45463\n13316 36266\n44496 45482\n1071 10329\n18650 19508\n6178 37385\n16641 48557\n1790 48642\n9645 11446\n18731 48650\n8918 30219\n9102 20524\n24218 41958\n24099 44708\n26422 38798\n16681 45946\n17815 23614\n20166 44528\n41854 46208\n17876 35051\n5052 23295\n2746 24917\n34975 47969\n38438 47635\n5736 45021\n954 35554\n458 2519\n10517 47634\n7326 11198\n2198 28151\n12901 47147\n17168 28043\n22699 40793\n19600 32202\n17066 20829\n19340 47793\n17012 24328\n1141 2526\n36750 39338\n40119 42592\n18528 37299\n30533 46457\n12260 20393\n7135 26772\n20654 26278\n25708 34393\n20233 36453\n13298 16854\n29649 37008\n6682 45413\n32730 44621\n7012 8766\n21620 29252\n10372 25497\n794 7162\n26106 38477\n29504 38006\n8911 41499\n2310 5159\n668 44869\n17033 44131\n23052 45151\n30112 37401\n5441 39418\n13111 38877\n922 28219\n25692 41144\n10910 40302\n37633 41063\n8006 30925\n6454 8338\n18939 47511\n23507 29388\n16936 35829\n24216 28461\n23559 41999\n567 42933\n5329 44467\n12556 37657\n596 17156\n11916 41149\n13626 15930\n40600 47065\n651 7737\n34093 46504\n13813 15529\n26277 38510\n29272 29970\n10850 46218\n12134 35417\n8404 32571\n18280 39240\n492 6872\n31798 36162\n531 33971\n10258 36871\n13514 19577\n33973 45923\n38098 38960\n20999 45084\n8205 14065\n13254 34529\n35846 45800\n24161 44402\n24220 42361\n21708 32770\n7484 31049\n8995 18948\n3718 27232\n6613 28203\n3639 44834\n8544 38984\n21622 24560\n20614 22586\n12360 39246\n23320 23591\n5134 39447\n22535 36491\n13611 47321\n26433 37877\n27268 42251\n6956 23075\n8065 46371\n34232 46699\n19205 23939\n10878 35654\n10404 13365\n2682 19697\n26533 40572\n3747 24973\n1858 22860\n8916 39641\n21413 23415\n4111 27257\n11618 19357\n18594 25175\n23494 37221\n3065 8428\n16313 45896\n15129 32286\n10605 19955\n658 48402\n11980 35515\n23285 29734\n4572 17456\n34027 38322\n35525 46316\n498 47645\n27037 32192\n16367 33335\n37601 43162\n30415 36974\n26762 48498\n3183 10735\n19186 46166\n25490 36666\n1010 35935\n17622 36622\n3613 9027\n31113 45687\n38347 43584\n646 24329\n17940 46433\n5537 9381\n11561 16966\n14455 28145\n24029 31259\n20921 23421\n39810 47032\n40392 46531\n37044 44425\n9425 15886\n36891 46205\n3345 19870\n24607 43319\n4732 35751\n36351 40679\n2557 37903\n7619 42939\n14885 15497\n13201 31893\n20386 40344\n2174 42632\n25705 37777\n14326 24224\n33617 42815\n21569 31236\n3947 30979\n14831 26935\n8549 29800\n10441 18022\n16296 42184\n16254 41553\n994 26618\n9081 15752\n468 32747\n37831 41755\n37089 42256\n18801 35733\n20156 38262\n6698 24042\n32584 32736\n22043 26597\n26237 41552\n22434 41398\n6399 28480\n14344 42754\n7783 13291\n8647 32861\n19921 37383\n40099 41081\n40883 42855\n17357 37770\n3612 8472\n28379 34316\n9633 17038\n15672 20866\n22522 43839\n14146 44422\n20933 35740\n20895 25376\n21333 27919\n32738 33602\n13338 46274\n24572 28633\n21729 37804\n7992 46374\n15944 39844\n9337 48392\n13446 46152\n2892 12481\n13862 29617\n3736 44005\n38011 45650\n8295 32355\n19508 23143\n41189 42161\n19407 42219\n429 32199\n23475 26478\n6612 34750\n9882 37558\n4664 21002\n18793 37796\n687 13135\n2156 16191\n8894 36949\n7011 8176\n10608 27213\n3997 7704\n21612 41200\n22812 46812\n11380 24283\n12943 13669\n3623 25772\n15868 45380\n5985 24036\n6361 12067\n22496 46994\n26675 44068\n22296 42421\n13743 43739\n27890 31378\n12766 34640\n27031 32090\n36420 42494\n5087 21961\n6272 34475\n17331 28265\n6782 44397\n12109 31138\n14995 43990\n9171 11004\n6784 47437\n15237 39302\n8239 15129\n14147 26196\n13295 34113\n1034 18571\n4854 43980\n32105 33598\n30454 32170\n26575 36576\n15746 22424\n25633 39439\n9389 30430\n664 22521\n10777 14963\n20256 44620\n26689 30722\n15799 17202\n14523 20679\n14310 17787\n4744 33180\n3396 5295\n9351 17977\n24467 24770\n17985 27946\n17026 30404\n14713 28832\n19518 26684\n20754 33428\n22936 27538\n8434 48191\n12541 36319\n12166 21764\n29457 34455\n9473 20628\n4924 7912\n10104 20694\n14894 35603\n5222 44797\n21108 29038\n4854 7859\n2841 21481\n35245 44969\n6983 31046\n13802 33659\n5847 34412\n3073 15545\n10232 14003\n41530 41648\n6471 17174\n454 16726\n4909 14478\n24096 29681\n3792 23674\n4619 34195\n2634 44440\n1870 2080\n20657 36003\n32248 40780\n28269 36195\n3329 6340\n16195 16428\n40335 45752\n145 46822\n42385 47820\n2145 8234\n12004 27167\n15471 22090\n32025 40928\n15697 26497\n4983 44823\n17523 45162\n5085 12272\n15467 34200\n13083 23596\n9511 23770\n6078 38945\n16976 32408\n22818 26669\n37724 45636\n15522 43030\n11212 29723\n23035 24941\n23949 46788\n15072 45259\n36286 44882\n18138 39113\n27552 39867\n15219 19985\n13594 45459\n11855 13168\n20232 26275\n15243 28686\n13514 37031\n3605 35915\n14257 28685\n13820 41150\n20434 46539\n15760 17551\n5000 39451\n28241 45144\n3526 45992\n5828 45699\n34388 44115\n26897 30866\n15983 40021\n1408 4164\n24447 36919\n7483 10415\n28030 41951\n22801 43769\n14204 18921\n30460 45496\n26995 45889\n17555 24581\n10908 14411\n18121 18883\n1211 34376\n1500 3229\n18317 26642\n5139 19107\n24110 34564\n45477 46411\n4401 18299\n30772 41563\n12728 40144\n10120 13048\n20332 41135\n21457 26039\n24097 28076\n37501 44758\n14001 44584\n10249 26296\n7106 15097\n10300 16660\n20291 24403\n8050 41654\n6851 42165\n31333 37591\n47947 48170\n19454 42600\n13341 29078\n8136 26593\n2311 30385\n17281 29696\n11338 20378\n5884 22356\n21575 24191\n1437 27944\n36063 45708\n27736 29263\n23176 41500\n3874 27490\n20872 46894\n10952 47064\n31076 32147\n10343 36135\n5877 35631\n14921 46261\n17072 38436\n13631 45941\n10417 18037\n36010 47748\n16683 34593\n34273 34342\n14442 45953\n16767 21645\n10628 48656\n14103 45656\n13522 40415\n28990 42624\n14502 28816\n25898 35867\n5037 7636\n389 9274\n215 40327\n3877 33462\n17140 45454\n3852 19873\n15875 46153\n16053 23918\n24240 44228\n10153 16353\n13999 40155\n6528 36604\n16702 19470\n16741 19835\n19598 31313\n6797 36660\n41771 43812\n319 27291\n40361 42269\n28864 36083\n17345 45028\n11843 44739\n3366 19577\n24403 45108\n8217 22750\n16416 39260\n12648 19124\n15189 29381\n3204 31237\n7707 12394\n6932 33484\n39915 47901\n18182 19285\n11378 47273\n3876 5558\n1333 3562\n28532 44969\n8330 46533\n208 37893\n24669 28513\n10224 20201\n26335 28188\n22178 41770\n6862 36442\n2576 36575\n27878 34115\n24859 44566\n24532 48319\n14968 20121\n13855 31383\n6280 21346\n20706 29326\n4231 47944\n23881 29762\n19459 42309\n3513 29157\n28548 29030\n24046 46169\n1957 21135\n5251 12424\n11000 47886\n4570 25315\n5569 11288\n44353 47874\n3682 23264\n1170 5652\n29778 41814\n8530 13561\n5027 28469\n4729 7785\n19253 27781\n12898 38413\n13365 30448\n24919 33855\n30635 48061\n10555 24034\n38827 47905\n11287 33918\n7941 16028\n23189 43848\n526 2790\n3908 12106\n5629 9429\n19271 25053\n15481 31721\n16439 27671\n28799 34952\n11114 42908\n11505 48114\n26016 27787\n2649 27069\n2820 44658\n306 45981\n19457 29080\n16211 44852\n9927 39452\n1127 9423\n299 30976\n5681 38551\n2603 27526\n37523 43561\n38691 40391\n4565 36719\n6886 48438\n28132 33598\n2437 7846\n19071 40239\n41359 43034\n22881 23454\n22587 23462\n35878 46079\n12397 28464\n8210 11588\n12174 27295\n10671 21681\n27238 42996\n26366 46939\n15684 38536\n28521 35245\n27274 41000\n19614 32590\n21992 31906\n39089 39805\n9507 44747\n14921 18988\n29741 43994\n34649 37811\n7992 38678\n1651 7226\n424 25118\n14894 30459\n18914 20987\n9687 35338\n37381 46432\n15290 45136\n43234 48583\n6245 15499\n30754 33202\n35274 36051\n42861 45731\n16805 41844\n42627 46545\n9149 26914\n4506 27195\n6307 40470\n5630 41957\n26614 41057\n20282 25610\n18129 44368\n8257 45564\n34070 47483\n24627 28736\n30418 44054\n25705 28521\n11153 19375\n20084 42079\n3184 46639\n21357 21652\n24000 25959\n5171 23736\n10286 29946\n10645 29953\n37793 46373\n27972 39813\n23402 27331\n19864 36147\n18349 47151\n43963 47684\n15125 46516\n7950 22819\n4130 33023\n29401 40829\n26645 45172\n10389 26521\n13541 15875\n21803 43337\n6408 32652\n14922 20411\n18517 24901\n2110 38481\n22385 26777\n2222 16248\n787 9799\n7094 48619\n10851 18123\n47599 48204\n16456 26645\n38177 43523\n32644 43925\n19436 34193\n14908 45529\n27673 39916\n6359 10174\n10070 36503\n24934 29462\n41877 42748\n14978 25654\n17276 39835\n1314 11099\n11586 38573\n22837 39382\n7669 39771\n4265 17771\n3838 37309\n7723 26843\n6784 13062\n24458 35100\n16313 16820\n5390 26592\n15728 19771\n9609 25968\n32839 38834\n6335 17269\n32887 44232\n28090 39444\n14070 31986\n21544 28870\n19043 24648\n4839 29255\n23990 34313\n24069 34543\n19972 41396\n26536 38479\n3372 24558\n1433 18340\n22324 27389\n22024 45748\n8087 26577\n6160 38058\n2882 16674\n10879 40168\n14646 45288\n25049 39623\n24638 26819\n14089 29133\n9216 45904\n3610 44997\n6521 48180\n4933 43565\n5098 40427\n29740 47943\n29762 46558\n10983 45238\n26490 27802\n9416 11750\n42088 45425\n33050 35341\n6605 40205\n13492 43730\n18576 34371\n32430 38001\n28358 45852\n6291 43089\n18048 31599\n31877 41715\n28169 48379\n4710 17611\n13777 21532\n30443 46509\n4178 42555\n29990 48003\n1365 14587\n21110 47921\n13956 48031\n21047 24585\n986 47805\n32040 40381\n6558 17114\n3600 17091\n33783 48648\n37254 44031\n13463 34278\n37844 47411\n13145 32017\n18888 41020\n4625 43788\n20452 29254\n8923 9399\n2396 11026\n5041 44352\n14626 23047\n9030 16648\n7453 35890\n23899 24592\n24348 29567\n31814 33095\n2689 11045\n28148 28783\n3603 18698\n9719 19093\n20613 25265\n28 7601\n5360 13688\n30199 46661\n13142 35409\n8503 20812\n1574 17460\n10569 21009\n27116 38287\n17674 46480\n36016 45518\n13468 26163\n1084 11641\n5146 9956\n14721 23296\n32797 34018\n15860 28356\n739 13549\n24119 39018\n16441 38482\n2228 34023\n4796 17681\n21017 29014\n15310 24323\n11067 30685\n19414 44769\n9388 23916\n9485 39339\n925 10628\n30676 47367\n13593 34129\n11891 48636\n15493 29544\n39608 47161\n9762 34952\n13899 33392\n23291 23780\n10662 11094\n20713 43325\n30005 40506\n14945 32263\n903 4294\n13837 34514\n1743 2799\n27334 44866\n40360 44254\n2624 11469\n24931 34543\n48380 48486\n3826 11782\n30342 30835\n28774 35236\n6349 16216\n13942 23891\n22958 48096\n40682 42436\n22181 24075\n14706 25471\n10533 16012\n17079 43205\n20208 27919\n22531 36824\n1527 29562\n2930 23225\n371 6800\n7390 30842\n435 25365\n22479 27063\n6068 25184\n8620 45460\n12455 22518\n24746 29688\n24952 28410\n3687 25716\n14465 19581\n17194 28589\n34934 37445\n39506 44218\n3825 20464\n8599 8990\n30521 42999\n2433 32425\n1495 22433\n17774 43012\n20322 22378\n19909 40452\n23121 30150\n15710 35772\n4086 40461\n10603 18304\n32505 45955\n1697 20847\n326 44789\n9632 36938\n25529 36556\n2593 34899\n5862 11267\n6882 32955\n23688 36695\n13875 34433\n20655 31247\n7197 45728\n9704 17761\n1248 6074\n15063 42574\n13428 30018\n37517 44462\n7496 12602\n37210 41144\n16029 37210\n14864 15840\n13012 23486\n6761 34508\n21355 25774\n12502 20734\n2694 40613\n11276 33411\n39265 45170\n22921 46261\n3603 45828\n16392 25677\n2934 19365\n5149 5349\n33030 39338\n35332 39887\n2963 36944\n3772 5618\n9158 13589\n25794 48101\n6390 8360\n15204 47345\n6006 42357\n5675 28224\n8929 17713\n4273 30241\n5 41905\n16735 35232\n33835 41744\n8295 23695\n8433 20833\n15298 31464\n15457 47975\n4188 16690\n6244 25766\n34611 39988\n31414 46295\n37445 41286\n12036 44273\n29760 48460\n20165 36287\n20374 36314\n1564 18984\n38153 38326\n40638 41230\n12718 19252\n2056 28897\n1029 32056\n15338 46759\n13683 28484\n34472 36311\n23290 47041\n5268 21899\n6460 35577\n4642 5444\n4534 13795\n46246 47612\n6242 32857\n2266 14119\n8966 43979\n15022 42110\n2405 36707\n6907 24075\n13146 19099\n14913 36064\n3654 34607\n13274 39920\n21442 34798\n34408 35954\n7909 39018\n8622 12780\n11110 31777\n13223 30822\n27703 37430\n13648 42950\n21119 29163\n10204 35633\n9425 43763\n21619 24906\n39689 41201\n13221 26486\n16923 41016\n11231 41801\n8083 27787\n20287 39265\n29316 46532\n5274 37430\n17091 44589\n1586 32149\n13521 24168\n27890 47713\n19325 34995\n10683 17170\n2926 7581\n28371 42034\n13667 27653\n18398 28119\n6827 48327\n26995 36941\n15753 33523\n30373 40330\n4447 5173\n27008 30889\n9840 33177\n15620 21069\n14937 28211\n6530 42854\n23886 26491\n34066 36582\n10722 22195\n25517 26585\n11255 14251\n20002 46093\n28796 39236\n4882 25233\n32425 47258\n22142 28377\n17311 47023\n30721 47058\n21776 29111\n23878 24768\n9886 29567\n36346 46971\n20112 24406\n21130 32729\n13187 19757\n33903 41353\n17018 45592\n27705 34348\n33941 40894\n1509 27129\n22657 22821\n32917 32927\n3230 46023\n24207 26633\n12109 27601\n28108 29312\n29979 35579\n8462 15298\n31043 44047\n11633 44353\n1265 39336\n5789 9067\n4204 6348\n21889 37097\n9041 46269\n18966 27993\n2596 27122\n8019 22056\n11922 35481\n4690 8653\n28207 33665\n7588 48137\n15655 28124\n15188 33696\n23743 42355\n8401 34408\n6622 16799\n8775 22666\n5483 25062\n7377 45608\n16103 17039\n6245 14186\n30665 43769\n10238 19729\n2156 7250\n14646 30876\n22627 32173\n5311 47352\n9340 35468\n7606 13251\n26070 43578\n23357 34535\n7489 36437\n19117 29058\n25201 26788\n2325 36126\n4737 19472\n11074 27304\n2299 27767\n8813 10045\n11664 26218\n20201 43218\n9561 30873\n18859 38095\n30508 39503\n16574 40821\n22357 38732\n15423 17017\n30820 43587\n33842 37660\n39551 41738\n13620 46265\n44934 45482\n43360 44378\n9353 12471\n34079 35232\n4648 28764\n20063 38447\n14458 40076\n22449 44465\n18232 24141\n6125 8504\n10549 22133\n39144 45942\n2081 6180\n14049 24407\n15038 25647\n2563 20090\n32141 43377\n9111 47969\n24156 42048\n33777 46471\n7853 16553\n21473 22518\n726 20582\n1490 26264\n18461 40350\n8506 10142\n2690 3551\n21583 47500\n7802 38016\n3139 7096\n3275 13569\n39403 45573\n22940 36885\n24539 46394\n7876 13500\n7163 12689\n8839 40426\n4681 18489\n6054 41659\n26913 34801\n5028 23074\n2448 25386\n231 19401\n23447 37699\n19683 24510\n27963 31254\n19582 26910\n12712 34195\n3376 44863\n19912 25028\n4524 35261\n21067 34416\n10470 37464\n23942 44466\n15864 28814\n775 40689\n1066 17369\n8142 26774\n3722 46450\n22877 44573\n9003 12002\n36851 42615\n20620 37335\n1137 7410\n264 7524\n11095 39147\n22314 25446\n2099 22958\n31664 48042\n12695 39639\n32433 33938\n15568 23780\n18739 21096\n15659 25138\n31001 39205\n26629 36549\n35761 36559\n10966 32805\n4733 42981\n8358 28980\n33551 48089\n7004 36555\n25961 32712\n1527 44169\n5658 37884\n1442 28999\n10964 13323\n27998 40677\n3175 45273\n22367 45515\n4878 35983\n27074 28488\n133 44893\n14544 19119\n9697 15586\n18110 46791\n2478 26558\n4927 17636\n14970 30043\n3890 13093\n33786 46774\n8105 11535\n27247 32890\n19679 29751\n25819 27320\n33748 34913\n13536 37887\n1522 44476\n57 34414\n31952 43610\n37476 42895\n21793 37009\n2476 6601\n20004 35794\n9706 25137\n33035 48137\n10296 46971\n28478 32240\n5713 29345\n37701 42087\n31981 33277\n6082 45152\n29731 43370\n41466 44529\n27406 48665\n43391 45077\n25639 32884\n7882 26952\n26471 26641\n42087 46907\n34618 44409\n8676 24441\n16238 45305\n20985 47014\n14558 37733\n29674 40006\n26363 46362\n25012 38603\n15514 25045\n27355 47457\n40381 41218\n35644 46349\n23320 31152\n28540 36836\n15611 37290\n7112 42783\n3907 25567\n35445 37550\n38145 41197\n13461 47377\n24781 45516\n2506 25310\n1327 6512\n10212 21798\n20738 28336\n4161 27563\n27298 30543\n14774 22462\n9153 41348\n10617 40146\n22920 26486\n1065 34664\n40280 48167\n5135 9669\n24093 36002\n5566 23706\n5815 45120\n7212 20131\n10314 37825\n38270 39367\n27007 46618\n2707 32062\n12899 37008\n5904 17887\n8393 16633\n31595 34775\n20232 24013\n9410 21729\n20423 22901\n14287 46349\n3882 9759\n17688 23841\n12564 13295\n2049 16393\n16926 25567\n15139 16432\n1591 24024\n13277 20925\n5987 29439\n8342 39257\n3058 15469\n14782 19824\n14811 15115\n5844 14260\n41821 44618\n29565 47898\n4583 14957\n9269 30145\n25676 47461\n10602 45010\n17649 42030\n30104 30267\n19322 24891\n5546 18198\n29224 35582\n7337 9472\n16711 46286\n11798 13354\n12373 22158\n39080 41338\n22631 45525\n43847 46530\n11803 32557\n14202 31081\n14448 32352\n1490 23330\n22448 29304\n18839 19730\n22999 30832\n6908 31426\n31439 48098\n10205 29453\n20635 32722\n31950 47173\n19119 19884\n25865 34717\n26131 33918\n4644 23972\n6305 32239\n35779 41601\n36918 46493\n14588 43750\n2246 41021\n40109 40667\n6235 48280\n14323 48221\n11220 15167\n4301 42802\n6795 13449\n25833 26975\n10847 30268\n8346 32920\n1582 15043\n19367 36890\n5142 46015\n14377 28502\n13434 31329\n7660 17201\n16088 21311\n6520 10330\n17715 42730\n3459 8728\n12774 18081\n7587 8930\n11819 46725\n14096 39900\n1116 17985\n8676 19798\n24014 42021\n26221 32664\n13595 34658\n25637 28134\n15176 18078\n1473 45434\n20612 28412\n1214 16989\n12894 29101\n2075 31266\n12609 21806\n31718 35935\n19485 25738\n29360 34521\n5808 47704\n27561 30090\n13085 30224\n30058 30811\n35620 43346\n12664 34045\n2593 19610\n13030 22102\n33084 47171\n27882 45742\n15268 38524\n21571 27753\n4004 33637\n23394 37219\n24832 34564\n8878 37557\n22102 43469\n16111 34174\n3565 24308\n27475 39955\n15766 18420\n2461 28037\n24512 45792\n6429 12807\n8797 38120\n21071 41544\n190 471\n32707 39035\n17330 43009\n15050 42042\n1313 12220\n18488 40328\n17521 26953\n10603 33879\n6212 40750\n39489 46577\n22881 38746\n5876 30584\n10887 31715\n28472 42282\n3823 9312\n7812 39879\n13777 17658\n1379 29369\n23085 33636\n9383 18110\n4316 30471\n28037 37796\n16844 33201\n9515 10637\n6946 8668\n27735 38195\n34019 43831\n3303 42356\n18832 36612\n34171 42355\n14289 43584\n45859 46205\n1806 31333\n21776 29787\n1743 44124\n17282 27626\n10821 38965\n14491 14807\n13927 31799\n15568 30671\n31467 41788\n22103 41662\n24400 40583\n8459 33532\n44765 48592\n7274 15156\n18255 26564\n22015 42333\n9618 12135\n23704 39536\n11795 39045\n36652 39151\n39399 42345\n8463 23331\n25955 35754\n4388 46972\n324 27730\n20603 32002\n1453 37106\n23086 37106\n10149 45199\n3139 30671\n18539 27566\n21848 22341\n28835 29364\n32565 38421\n5449 39226\n27192 43097\n36655 45471\n26874 42773\n27469 43870\n31380 41726\n28838 35600\n10690 36763\n11470 26986\n13377 32771\n32094 32912\n10440 25065\n13797 30582\n7880 37791\n13129 43474\n9863 10786\n14217 18302\n6691 13219\n14322 26509\n4265 6194\n3410 46640\n30882 34299\n24877 46547\n13259 23384\n27273 39391\n12025 42459\n34657 41034\n6650 7669\n17069 32307\n15476 24448\n34132 43473\n5664 33696\n14055 43696\n21402 39327\n4630 31104\n22649 23521\n18744 31252\n36334 43791\n23313 30327\n10508 40577\n13908 17784\n16716 30218\n21263 30123\n32730 40414\n11781 14560\n14140 43851\n7559 47038\n18390 29222\n21472 40779\n16406 33443\n37705 38673\n3497 33419\n21891 43317\n13901 33693\n10733 26930\n5007 41502\n3232 48520\n5507 20741\n13498 16825\n6816 34445\n33136 34519\n32628 46485\n9868 43758\n24371 43753\n16257 34461\n21032 48116\n9205 27110\n14865 16639\n21702 35889\n5919 7557\n27114 46575\n4231 30511\n18066 26189\n34936 41669\n6134 32003\n1998 20234\n12512 18128\n3302 18526\n1356 13676\n34181 34882\n42559 48206\n20564 31522\n37263 44468\n4742 38041\n34389 45233\n13860 43882\n17414 28755\n16780 29926\n10179 43469\n27335 37894\n21209 31070\n15723 27808\n28121 45044\n11676 45724\n18832 47104\n19426 29386\n5151 22103\n1811 13161\n38344 41626\n13528 37764\n11352 22000\n23899 27143\n1812 20779\n3956 19390\n11365 24629\n17457 47747\n7062 8980\n1616 4524\n21258 41915\n33746 46743\n10773 18974\n31437 41654\n6155 22238\n1808 21099\n1277 13176\n31954 41741\n2742 17486\n20663 37778\n17715 38356\n344 46682\n7053 25612\n19254 26784\n43616 45322\n14539 33650\n12018 17343\n2025 39001\n7361 38356\n24389 35976\n18854 46623\n2242 5820\n33892 46652\n18166 21577\n4032 33568\n16687 23500\n3180 31945\n24763 41782\n24455 28384\n18429 45234\n10907 18468\n29752 35965\n1485 39900\n7650 14856\n9362 35009\n20391 47482\n24080 34661\n17786 43914\n237 15224\n7530 32551\n18517 25527\n36674 42547\n627 23757\n12961 46086\n26775 37931\n9342 14962\n12920 24743\n9004 12653\n4984 36979\n3848 7566\n2050 33252\n22381 31358\n13681 32885\n14118 28962\n28159 28489\n36615 44145\n14037 39183\n6900 15150\n36975 37756\n35214 39063\n15221 17741\n9070 24943\n34202 42254\n39690 40035\n7211 13993\n5062 11054\n13904 48004\n4102 6607\n4159 9443\n18093 26182\n7752 28752\n15176 33431\n6660 28073\n414 14662\n31035 48642\n7311 20002\n20188 38941\n5143 30239\n36871 37952\n7204 37227\n19372 44005\n11760 46285\n34606 37731\n40738 48192\n10010 29147\n15874 39976\n3863 45572\n1304 27843\n1528 25666\n16448 24798\n6753 45319\n17071 22693\n5251 42985\n9386 24206\n29085 33632\n23017 38030\n30849 40026\n17070 47568\n25573 47476\n37792 42572\n21449 45389\n12954 16152\n6029 48391\n16504 44207\n5083 41033\n16584 46806\n16453 18007\n15542 41273\n29152 47649\n36538 45359\n35402 35404\n6216 26803\n4873 5428\n25863 38776\n32701 38774\n24264 27149\n12887 45121\n14456 29973\n28070 35883\n14537 17442\n9116 37394\n10385 20640\n24015 46024\n11948 33137\n2064 30733\n20235 38045\n7677 14838\n29729 34882\n16626 45878\n36588 38968\n12691 33908\n13374 22796\n943 16311\n15204 40810\n1412 46736\n21092 48025\n153 2255\n9459 23449\n9741 36166\n17670 34304\n13406 43274\n694 23088\n15554 28779\n26753 40141\n3432 11755\n16594 36133\n31325 41466\n36403 40207\n29618 47620\n8522 42320\n9722 44860\n7516 47252\n8504 20669\n10826 10843\n39952 44263\n13728 33749\n37609 46957\n4844 9619\n22935 23775\n608 35038\n4616 25248\n22798 25078\n12333 13885\n19848 38966\n10881 12952\n36210 43821\n26511 48618\n14959 48013\n7176 22479\n28464 37230\n10417 42132\n12278 31826\n1710 15800\n2779 46647\n21533 28706\n30399 46622\n29437 41193\n2284 11597\n33379 46477\n13186 33679\n13477 22423\n23885 23901\n2208 45640\n8248 42413\n33015 47359\n36112 43558\n16648 24830\n11921 34907\n4405 38642\n15134 19976\n36000 38483\n4914 40264\n4913 13413\n5505 16955\n779 7077\n229 34484\n33592 44434\n2854 14351\n27331 31809\n22520 27550\n42978 45855\n12297 27538\n7540 43862\n13992 35543\n7961 47975\n45827 48560\n16947 17178\n12199 44647\n16107 42822\n7363 24217\n15554 19882\n8142 14215\n24398 47388\n12138 21747\n4384 39618\n7334 14547\n12842 45250\n18139 28587\n13456 26718\n5853 40403\n3445 24378\n35918 40806\n18126 34059\n35 18814\n11246 23246\n759 16052\n2509 23788\n8314 41187\n22556 30765\n9782 42375\n14236 39442\n17696 41982\n9962 19576\n7764 12273\n7348 44341\n19966 44545\n28743 37352\n11864 37011\n12390 33755\n22523 23626\n2390 36800\n7507 21168\n31262 34405\n1362 47137\n867 46365\n10339 46358\n23567 47729\n8934 25938\n13387 46710\n4090 23389\n1433 44248\n2400 5069\n21544 28142\n18742 42061\n9382 39884\n8103 18602\n33883 41141\n13380 40574\n29550 43935\n25091 31286\n25100 34513\n43880 47220\n33222 34353\n11437 14051\n172 6225\n13838 36585\n19722 43047\n17917 32284\n15828 42322\n26551 40601\n3575 34368\n5006 43996\n21226 30345\n2719 11462\n44748 46905\n692 2758\n21443 21811\n10413 11296\n15429 20958\n17309 43461\n5001 43248\n22171 43715\n10518 45225\n5451 16851\n36067 39468\n12926 20224\n39216 48039\n24779 31559\n6137 44174\n33901 47299\n12403 35124\n9952 19330\n20285 45307\n27006 42899\n6746 14803\n5264 29557\n20688 30112\n8275 25794\n17423 38145\n38633 45039\n12617 35952\n32135 45398\n17860 26502\n8010 21319\n26285 38791\n33003 35834\n17128 31898\n32015 45070\n15307 48595\n15721 43173\n27940 44130\n40096 41073\n140 34942\n36020 36022\n34775 37743\n35626 37387\n5638 26396\n20066 24256\n6955 16436\n32967 34416\n39365 44033\n39246 43812\n4727 7632\n995 34577\n20771 46584\n5134 7609\n10431 12605\n3571 13174\n19552 37922\n13779 15877\n9394 34132\n34321 38413\n35916 39363\n17561 35175\n12987 39525\n2349 32216\n16803 18773\n8115 39636\n3816 35011\n24098 46705\n12084 37834\n15657 20854\n9322 22959\n21251 38555\n18445 39522\n12094 36261\n35880 47162\n7330 8960\n38951 41321\n8649 26347\n13298 32417\n8184 9684\n22889 45852\n18615 41974\n33681 35131\n21964 42028\n29930 43077\n28062 36883\n16008 16273\n17949 24893\n28094 35265\n44618 48045\n12604 24192\n4518 36989\n11686 48076\n39442 41211\n6058 29390\n4903 19417\n6361 16065\n4949 23425\n34825 41704\n985 24075\n14618 34800\n10748 38434\n5061 30006\n13751 35109\n25425 32849\n12422 45388\n19866 36460\n15055 28353\n12534 25428\n15779 45405\n9216 36662\n20378 34889\n43958 45526\n31267 44523\n5900 41293\n3252 44846\n26410 47956\n2217 48333\n23737 43142\n2794 45452\n38676 47004\n31565 35393\n43569 44264\n1796 25724\n19236 41563\n14145 33701\n37759 48614\n12856 24705\n8657 22537\n2146 16015\n13028 31084\n15648 43666\n2049 11608\n2892 20373\n19656 43986\n17654 38468\n6489 15534\n31421 48213\n9072 14926\n16068 32839\n28123 40788\n21621 42974\n9473 34533\n18223 22204\n12277 24535\n3407 16418\n15052 18806\n16177 35779\n13488 13532\n12192 23793\n4664 23218\n15834 23637\n14509 45524\n6852 37497\n15474 17300\n32 26194\n25978 34907\n19219 26289\n3663 21233\n3863 32807\n2007 17805\n1288 45781\n7387 41262\n16197 16829\n30181 42270\n37052 43826\n5021 34168\n18835 28176\n2250 39694\n13219 29895\n2056 11226\n10744 37372\n42597 44827\n20502 47566\n13884 46110\n34870 40017\n27773 39375\n23625 34694\n4807 34302\n3570 33379\n4891 34842\n16908 28169\n3507 44159\n40134 47722\n40829 48344\n4965 11365\n4637 43546\n5923 46062\n29864 32564\n40468 48409\n764 23888\n4257 42965\n21895 36045\n25817 43286\n7957 17137\n23564 27401\n9293 25772\n15732 25686\n2016 46268\n26039 37760\n5775 24479\n25360 40561\n41918 47430\n4896 27200\n17411 44720\n31642 46692\n4723 43429\n21375 43941\n11567 13701\n16787 44842\n13581 29487\n1943 27741\n42935 46263\n16649 36119\n15037 17237\n8332 31823\n32639 40153\n22139 38479\n20703 24622\n24042 33980\n2385 6257\n30201 48071\n9988 20622\n40272 45376\n29497 44292\n12522 44491\n11508 26547\n10623 42938\n17408 32490\n11773 21302\n32914 40892\n16403 47026\n28896 30037\n5901 21693\n531 596\n28691 45597\n12042 46549\n36145 46790\n375 34716\n19079 29856\n8401 40472\n7601 11000\n13016 38096\n32927 44848\n42127 44992\n5772 12929\n21999 39006\n14395 19125\n20164 39977\n36455 46558\n30459 43778\n495 14302\n10997 44547\n28029 43574\n9099 23462\n6145 43779\n1769 35504\n29452 42017\n14197 40600\n15003 43877\n2539 14471\n2821 35282\n11785 22200\n2144 36835\n13849 27381\n4005 23710\n20259 22562\n16647 39566\n29085 41690\n4133 45323\n27169 43188\n33056 34744\n17481 45712\n8632 41030\n30552 38753\n12540 39053\n10375 37594\n19299 36915\n29689 41023\n5310 18572\n26348 37237\n10836 18684\n2540 6559\n6142 23701\n40149 48547\n9095 9371\n15545 41815\n2995 18528\n8328 46406\n27184 30359\n27620 46138\n3248 35953\n14756 22079\n6779 32520\n21097 21370\n28800 46367\n3566 39456\n6393 28413\n17089 41829\n6923 12285\n18559 30964\n14313 41814\n24102 30362\n16447 43619\n2868 19843\n25566 34312\n208 7913\n16371 38171\n27786 46191\n7953 39848\n21546 28878\n4846 45563\n45844 48142\n23547 43069\n15129 37019\n36236 45362\n9858 31995\n20451 38071\n6761 41354\n22819 35416\n35557 44349\n2339 34582\n6173 41015\n6701 25463\n2702 7016\n1761 33147\n33094 45022\n37375 41797\n32543 37248\n19632 24867\n25151 29527\n1623 6242\n28045 28194\n13160 23905\n25663 39730\n7168 48661\n26451 30034\n150 43160\n25722 40892\n4476 9217\n2925 9441\n18049 35840\n24393 31088\n17123 22951\n14527 26701\n39282 45669\n35416 37721\n40720 43380\n14764 38029\n23944 36674\n13322 14525\n31902 41840\n24348 29746\n24757 37628\n18357 38209\n13023 46351\n16310 36214\n15328 25401\n40068 42701\n23429 28164\n493 35146\n6517 30546\n5071 35475\n25958 40145\n35656 46818\n24171 44831\n33487 46920\n33904 34606\n11453 19758\n2509 6314\n9356 46708\n35472 47238\n9227 41933\n24914 30002\n13484 16087\n19088 24451\n10214 41378\n19997 33209\n10 29465\n31866 34202\n40617 43665\n6154 30100\n18204 34230\n14774 39864\n3145 36313\n18420 32886\n1682 29409\n4818 4980\n29447 42250\n11138 31059\n26667 40790\n1099 8972\n2944 41681\n42287 45432\n9753 31780\n21037 35050\n1721 21831\n23770 25400\n5893 37256\n1890 19902\n8449 38463\n46636 47936\n9458 13230\n5439 22534\n20609 35752\n14595 37053\n352 22899\n242 40952\n11941 14877\n23566 31452\n5980 30207\n19129 36306\n44036 46090\n20683 23698\n8701 26864\n1671 5644\n1691 25705\n22638 26227\n4962 8847\n2176 39398\n4961 32279\n35777 48393\n19044 21835\n5157 19647\n29507 31425\n4399 6898\n36742 46170\n3250 17109\n25193 28618\n36041 48206\n15501 19749\n854 32664\n35830 41010\n37529 38983\n1395 10104\n7791 46996\n19994 32413\n15372 38712\n7723 11150\n14328 17514\n5595 39525\n19499 28704\n45284 46259\n2135 21632\n949 11030\n30296 34711\n32319 46693\n1958 21996\n31384 36296\n20111 41370\n25180 38252\n6239 26040\n10304 39766\n15415 30209\n16904 37947\n11059 35871\n13120 19770\n30163 38543\n4268 25004\n3621 29069\n21420 23739\n6360 32965\n8624 39911\n45806 46215\n207 15078\n31958 45095\n28406 29913\n18648 22774\n32894 41589\n31029 38801\n35351 40177\n29884 33699\n206 33834\n14912 41427\n149 42557\n23033 36283\n6329 10342\n28554 43096\n17803 18202\n1189 29032\n25651 48318\n27926 32717\n19022 35613\n19562 34207\n13869 44236\n1064 21049\n41451 42084\n22737 27005\n8336 37576\n370 10593\n1423 43450\n13094 30283\n4549 47113\n40071 46556\n22067 47100\n12681 20660\n19430 23788\n203 39839\n2211 46421\n11912 12740\n31705 48240\n11051 35800\n22250 44915\n5096 43668\n2712 19342\n38195 40001\n10734 25307\n16733 20951\n6085 24198\n12207 33815\n11323 38873\n4796 43123\n5625 30439\n14587 41848\n10777 45556\n26229 43157\n414 28264\n5014 19529\n10578 22950\n7311 48641\n41003 42232\n353 44587\n3636 45417\n22197 37825\n33195 38048\n17985 28655\n11873 16916\n48142 48608\n10793 12288\n32158 37924\n28372 40663\n38868 47717\n463 39250\n36596 39424\n30673 33380\n3357 36853\n16100 18712\n37374 46177\n21293 33598\n6929 41683\n2107 38131\n8541 15438\n19518 41790\n19743 21363\n20241 45800\n696 25933\n14070 14633\n18197 18647\n35014 44301\n28050 45789\n31732 32336\n13592 39480\n4837 46859\n174 19308\n18928 42742\n9348 11107\n20669 31644\n31049 31144\n7069 17328\n8801 12114\n4420 17601\n2918 41839\n34080 43972\n3800 40610\n25273 26383\n15664 35590\n8380 38560\n19779 22966\n31139 48121\n5795 41290\n12608 30670\n2286 20155\n1960 14220\n18177 43816\n3592 30619\n6227 24450\n13171 26397\n3480 29173\n18360 45343\n11034 32384\n973 30941\n29289 36346\n18311 40471\n31073 48607\n7252 36925\n5463 19598\n17480 36898\n8517 47150\n1197 16825\n7326 45387\n11952 39895\n16929 37986\n9871 23921\n578 45454\n508 18623\n37713 44515\n6343 12915\n9295 39517\n9222 43533\n26712 27576\n20537 35017\n1361 4579\n32431 48319\n21651 42362\n1224 46370\n23304 32221\n20413 26091\n316 42354\n40464 42845\n33833 37283\n7418 37489\n3462 37513\n17741 31410\n12529 46447\n18038 33901\n14579 38546\n20535 21213\n42678 45819\n13390 23772\n7235 24828\n38565 41129\n15154 30237\n32286 46816\n7461 48657\n2586 17681\n42122 43990\n11999 36664\n36768 46972\n2351 24450\n23387 43488\n10972 27628\n294 48463\n9147 38571\n15739 33391\n1601 26060\n10641 31731\n44691 46784\n20648 35271\n38762 41646\n9051 13702\n15140 21969\n3768 5721\n3018 22785\n9699 32750\n7517 39970\n3759 40014\n15485 31890\n19801 44334\n12455 33379\n40509 42310\n33758 34710\n31213 34742\n15935 30923\n25595 35436\n11511 13207\n19639 34052\n13409 39182\n16051 37102\n1987 18449\n21068 44631\n3670 12505\n2539 25728\n15794 48656\n3363 15150\n14353 43526\n30068 36511\n17957 45460\n37526 42127\n16793 19213\n5993 39596\n10191 12176\n3133 18747\n16229 45298\n4062 9707\n33914 35558\n19851 22971\n24284 32425\n22396 43390\n20422 27986\n24447 44218\n13315 29173\n22377 43150\n33437 46043\n9851 18326\n42779 46544\n8187 27031\n8142 27036\n12771 36184\n6826 12275\n33179 34031\n25746 37659\n34525 46523\n15762 28081\n27594 41642\n30563 45658\n12083 41795\n21866 42182\n22382 47826\n18512 37981\n24491 28829\n5471 22736\n5421 41320\n994 17399\n5357 47548\n10337 45249\n42110 45733\n13374 41166\n19854 41536\n16828 22032\n29732 35159\n12630 19822\n1536 26601\n19064 28835\n25011 40530\n22872 38158\n35946 47475\n1366 25893\n15026 16368\n12777 33299\n24802 29965\n21152 43118\n2738 11482\n14475 20361\n44914 46077\n19708 42336\n8262 33414\n32785 33081\n11959 31819\n10946 42267\n2679 14330\n15361 16859\n2464 30995\n9983 11156\n8672 32877\n5344 44014\n32473 36792\n5386 35430\n30231 41164\n9431 9485\n398 17439\n22924 48166\n2594 37640\n39846 44435\n9976 15827\n17739 30942\n33481 41677\n8106 44412\n9588 35921\n15699 20086\n15057 21855\n30971 34764\n21703 37380\n43552 46901\n20810 26545\n27656 45082\n4903 16911\n880 15626\n41401 44051\n9282 45169\n20081 39367\n21280 36239\n12106 39812\n10398 44988\n19573 34133\n8916 45378\n5634 26216\n16534 24474\n45122 45870\n14580 43939\n6546 13103\n8053 46917\n31856 37868\n41861 45772\n9619 29450\n5707 19907\n13608 33388\n6479 47556\n548 14632\n32091 45424\n9627 42492\n8447 41337\n18981 21324\n33040 46362\n36967 47761\n10223 21448\n38180 43823\n24928 41678\n2061 13201\n540 1663\n6971 34638\n9484 11972\n14120 42155\n16607 17244\n1131 12548\n18698 33847\n41234 44042\n23098 30710\n12545 19681\n4825 15833\n11221 21861\n4375 25623\n21752 48015\n19415 34798\n16257 40572\n21395 26409\n13287 47968\n8112 30883\n13432 24081\n6012 43475\n20105 44281\n17525 18735\n44523 45794\n22108 35223\n18243 25417\n9283 15368\n38473 47343\n38786 46725\n3577 36318\n13564 27744\n20089 30888\n3796 5625\n22027 28629\n1392 2429\n2709 30544\n2287 20025\n9521 37077\n30840 46143\n34199 37456\n41461 46691\n26111 33293\n23229 37084\n1734 9135\n11141 21268\n10731 37585\n11232 19677\n7578 19567\n21837 29246\n7405 36741\n29637 42707\n7601 42466\n24242 44310\n8916 30493\n7510 18883\n7409 32061\n15340 40834\n13009 46711\n4734 47151\n3182 47529\n22391 26531\n9262 23196\n15517 20184\n31051 45488\n29437 33800\n16215 47760\n34150 47598\n16675 19087\n14267 38637\n20595 42002\n4062 38701\n12784 40107\n8597 33439\n12714 23064\n26046 47849\n14934 31887\n2947 3233\n10840 41724\n29453 37598\n1498 16416\n10155 13252\n41972 48041\n19011 38087\n20583 40910\n1970 14629\n29618 45098\n24623 48425\n15327 22597\n20153 32285\n12439 13741\n2119 48214\n5808 9069\n4590 27024\n18364 47290\n20652 44254\n12089 48157\n23814 30690\n11116 29549\n16194 40676\n6535 43336\n7495 36165\n4385 10376\n26917 45098\n32855 33489\n5187 27839\n9984 32787\n10395 22774\n12268 45715\n4343 7306\n32228 34871\n848 5854\n12117 34048\n11936 21367\n9512 12013\n4441 25564\n10935 17994\n3436 34889\n5071 19194\n4918 46268\n41155 43189\n27122 29336\n5312 27335\n14952 34270\n34368 46345\n1191 7906\n38722 42723\n5513 12366\n36280 36599\n23267 44419\n40427 43026\n25595 34988\n30915 46130\n20562 38656\n8665 35379\n38635 45729\n12926 45595\n12884 19819\n17396 22249\n4678 25351\n26144 34728\n17739 31903\n12536 35056\n33610 34757\n7803 13975\n23607 31335\n7425 18184\n5566 44071\n14709 22891\n4722 39416\n35454 38241\n5786 37635\n10008 43120\n12658 28461\n1571 15718\n17222 37759\n3216 47326\n1640 39925\n6039 14473\n21823 34925\n34790 44822\n16754 46611\n8149 39596\n8448 34840\n1060 38030\n15042 44392\n29181 30901\n3552 12500\n25216 38057\n7239 10466\n20235 22127\n11570 47572\n1929 41731\n6015 8486\n29469 39856\n13192 16290\n9201 41407\n29802 48169\n19159 35406\n38326 42973\n2457 30945\n17631 42237\n14838 37163\n29589 37238\n25011 41040\n26218 33865\n22532 31359\n3458 29477\n1645 43522\n11818 19105\n21194 46863\n31928 48012\n1990 2026\n14926 24297\n8502 42819\n4029 30614\n7017 24274\n1543 10280\n5845 34159\n38725 45332\n17419 41198\n24551 40059\n8562 31391\n8284 15024\n16343 16516\n17877 20179\n27059 39052\n5320 32366\n11004 18848\n16768 28328\n17873 22405\n19163 46982\n10290 31904\n18032 32858\n22298 23201\n34547 48007\n21221 33622\n5211 21381\n6127 7444\n18675 42795\n5365 45681\n19962 35193\n2378 16119\n2215 9333\n543 19613\n205 22168\n6676 40868\n8630 14520\n19575 25230\n173 24495\n17650 47935\n1211 9428\n7723 36311\n8689 30907\n5791 6170\n237 27899\n4991 37722\n35338 45662\n8336 26810\n3578 18808\n17677 39464\n1766 11457\n12574 18399\n19534 26474\n11552 41565\n22725 28630\n23074 25783\n17029 46473\n5853 22683\n3438 44598\n8483 25604\n1958 8931\n17785 30840\n8605 14296\n26205 28209\n10529 34828\n41597 45912\n12076 33899\n9155 20708\n23337 40135\n11312 41670\n12441 40014\n5395 23531\n22385 40687\n14094 36889\n26335 38303\n2662 28998\n11413 44215\n4032 41739\n19959 43478\n22418 48286\n9724 46419\n2291 9183\n24184 39235\n10010 21836\n24328 48120\n1621 2212\n34050 38362\n40171 45361\n17637 19309\n44245 47964\n6270 30594\n7423 15864\n28964 39562\n7629 36650\n1183 47370\n8434 34736\n13028 18932\n12861 45744\n36562 46671\n7685 46077\n25849 42462\n8763 43834\n6259 37083\n6624 43594\n10726 19118\n16452 37869\n25803 28628\n2616 45591\n9727 39489\n23476 31444\n2838 36064\n8741 14578\n24401 47288\n11180 30392\n10833 46247\n127 27543\n6251 33361\n26990 37516\n843 34766\n36530 45843\n30745 44096\n478 33344\n35134 35199\n3847 12660\n13233 24263\n45094 45522\n28578 28783\n13031 20899\n12871 16806\n6006 39365\n34780 45810\n9746 26611\n16139 36561\n2705 38618\n7879 28831\n24727 48217\n20162 39189\n338 48623\n4794 31720\n6644 13190\n32513 42105\n6939 40340\n12612 15618\n37075 46059\n18719 38638\n46586 48576\n33313 39577\n31487 44726\n26087 27435\n27642 41481\n27155 33296\n24392 38920\n38465 44976\n12551 17883\n7319 46454\n7592 16637\n10358 28003\n7654 38183\n12239 20884\n2546 12250\n15253 33811\n11033 44411\n40263 44109\n19622 20810\n13346 31381\n27080 47895\n18241 33021\n8163 36372\n10423 45851\n11136 39809\n26878 31402\n4240 28109\n3809 15072\n6741 26562\n16405 39364\n5528 21597\n1824 33353\n27231 40468\n35749 44254\n8921 37877\n28995 45215\n22011 45940\n1825 15757\n16799 40521\n1482 10284\n9477 12764\n24854 36293\n1703 15916\n5678 26078\n25000 30050\n856 7594\n13733 19354\n7691 31521\n15174 22026\n10054 36097\n6803 8749\n10941 19662\n30919 42723\n11823 12385\n8458 14223\n14110 19652\n14442 34728\n18944 27422\n13998 40414\n37088 37549\n5479 38220\n23666 32116\n5724 8056\n31796 45643\n2164 8521\n2124 41640\n369 6099\n32547 48607\n17421 28570\n10751 29518\n30412 43884\n19989 44744\n34521 41476\n16430 17419\n20367 26888\n38444 48150\n1836 26526\n774 30158\n30694 36379\n4906 29941\n5109 6000\n218 28901\n36038 39406\n4557 21920\n4916 18871\n18279 38889\n1941 7443\n26115 39637\n38856 47026\n16770 26441\n6038 32532\n11286 14245\n25934 27144\n8803 22134\n42809 45161\n43 15030\n7878 31151\n1440 46950\n22006 24963\n11481 37865\n29055 48015\n10984 48130\n20878 21661\n35149 39253\n7979 19359\n14667 45044\n7548 8516\n16475 42595\n15125 44004\n9284 35513\n8571 10029\n5637 18705\n3541 14400\n2083 43591\n3428 15827\n2114 43254\n28535 30295\n1102 18963\n15236 15968\n14513 41851\n21371 26343\n6130 6477\n1275 22451\n4032 18187\n17932 47189\n2807 16265\n2414 39347\n20228 40389\n2763 13041\n13905 15977\n18167 20257\n15311 41386\n28100 41396\n21860 24984\n12876 47303\n10520 30848\n17657 27342\n24999 44325\n31972 36367\n7246 38445\n4034 19259\n3634 7618\n29754 35627\n9007 46550\n26772 28554\n40368 42248\n15680 23352\n7168 43969\n23210 25628\n27318 35257\n5280 41810\n12932 36530\n13039 46855\n26139 45736\n10436 11734\n27857 37826\n21416 30913\n1236 40988\n24643 35387\n18949 22880\n39414 41262\n10382 23994\n47835 48245\n25018 43347\n11154 16107\n26226 27818\n12907 43261\n8978 25267\n1356 42709\n17697 18692\n34173 34742\n39932 44282\n14582 21216\n41277 43389\n6714 8337\n18075 30524\n39747 44077\n35054 47783\n25068 33643\n11838 48613\n29474 44730\n16009 24331\n41230 41847\n19366 30575\n10342 40197\n31052 38242\n16890 41683\n7107 29957\n1619 33822\n10934 24211\n3490 18389\n42933 46679\n32678 36969\n6099 34338\n23549 26034\n11025 36669\n16138 29743\n6748 20836\n20701 42550\n6474 23814\n3434 14468\n7311 45284\n3291 16839\n6908 29068\n1298 19577\n29135 39353\n12329 32462\n15462 22842\n18115 37049\n22589 44238\n5987 22751\n2867 21607\n3855 46321\n31667 34845\n290 41007\n23125 35152\n22925 35413\n25817 37250\n18917 31558\n14760 38465\n18221 39238\n13547 24920\n29438 33386\n3840 10121\n100 20721\n17599 17606\n10373 33167\n11979 17673\n35541 47398\n6641 45811\n4168 43268\n27414 43235\n8108 47265\n13249 19487\n38035 42651\n31946 37543\n5489 27320\n9796 16449\n13783 28732\n5710 30508\n8140 47518\n24689 44886\n10410 29308\n2566 37176\n30938 45136\n16005 34747\n10743 46877\n13936 26432\n219 23531\n13223 40907\n22167 46039\n31681 47180\n18843 22549\n14227 24914\n4845 8916\n5232 38050\n3308 11021\n14480 32579\n39534 43153\n4417 17853\n26533 32313\n3624 26819\n19594 37401\n15573 36256\n8561 10964\n36203 42394\n1230 34897\n4794 5441\n14836 47754\n455 22656\n26781 36082\n18042 28717\n10855 17944\n8464 45957\n7039 24075\n2872 10718\n8447 29558\n7264 23131\n17698 36744\n5447 21670\n17703 30291\n1014 7129\n4098 25403\n19861 43447\n1225 7267\n3989 15022\n7044 39688\n30600 40398\n2628 10524\n27129 32879\n21604 39516\n36865 43313\n9767 44437\n18495 20559\n6059 8702\n13181 29167\n34654 44506\n23442 38443\n9086 34842\n23456 34584\n4128 10705\n2538 42531\n34700 43337\n4459 20916\n28685 43043\n20566 32920\n22864 34684\n31386 45165\n3994 11254\n35958 39693\n6412 37610\n15085 33810\n24308 33709\n10043 44592\n30473 40387\n4957 48110\n13781 47261\n5611 33067\n15933 26522\n32385 43144\n8725 10477\n13991 32605\n4127 29831\n28761 48620\n25188 30670\n14519 36789\n15010 25560\n8068 46149\n2287 22287\n2909 4977\n12731 25878\n13652 16830\n2396 26337\n1106 35399\n13986 41579\n9484 22034\n14531 25163\n9705 43513\n39192 43448\n15016 16242\n36994 41968\n2516 36334\n9026 39851\n28936 34377\n35 32436\n15187 46465\n40537 48348\n8906 16951\n12756 38297\n26364 38486\n12866 32440\n7898 34746\n34320 40567\n9407 15509\n6165 35303\n16588 31654\n24159 37063\n6440 9733\n9718 13431\n5256 15209\n2954 3692\n19727 26088\n27362 47991\n3005 8593\n18448 43813\n28443 30098\n2723 35540\n12306 30117\n11511 28364\n11162 23147\n1759 41096\n667 46726\n36199 39012\n29167 45589\n6935 13318\n6282 11433\n12456 29473\n19152 34692\n28881 43819\n29725 37508\n38343 48061\n31877 32957\n21304 40131\n29274 38089\n10759 40879\n30687 33488\n18160 35630\n32838 38414\n35151 44443\n13564 18468\n616 40022\n14928 33607\n3095 16887\n13550 25060\n5849 34723\n15961 16844\n10315 27819\n37278 46588\n1004 40612\n19040 36209\n18931 34823\n2989 42094\n621 32951\n29536 44586\n43872 47917\n15973 23921\n14720 36443\n34240 45045\n14634 37615\n2441 24244\n27067 33277\n30552 46043\n30209 41757\n16950 22490\n2773 15828\n489 3694\n15459 44607\n12577 47315\n40718 41085\n7991 24414\n29322 45893\n19 21909\n4778 19364\n37677 44494\n32150 46413\n36964 42273\n8935 21315\n41373 47917\n14706 29232\n628 29592\n684 31113\n13998 26553\n14488 27882\n6831 19074\n1468 9950\n40886 41078\n16962 44999\n30069 46612\n24144 40941\n40659 48623\n9348 10179\n4764 36008\n8680 28499\n13740 17953\n14571 43764\n10024 20581\n42208 42299\n7220 36319\n16388 48126\n38464 44093\n4833 17537\n8532 19752\n25856 47313\n31638 32247\n29723 31547\n4616 30453\n24781 29219\n906 8926\n42322 42419\n26812 35445\n29455 34206\n3431 46772\n14970 32152\n4786 41684\n3881 11004\n413 31249\n2335 26057\n2433 11096\n27681 30915\n11677 36186\n37859 46844\n10531 18682\n3626 47727\n13884 32549\n12166 44378\n21995 25296\n8263 20388\n40349 43484\n12617 34627\n3887 10020\n631 38559\n22800 28884\n30587 31724\n2636 45005\n12212 17698\n31542 39619\n566 11658\n29102 36761\n26519 27479\n14015 15731\n17736 48219\n17728 32875\n45466 48372\n32758 48530\n25532 39391\n18212 23355\n1020 46028\n20528 35160\n19117 22659\n572 5111\n7972 41132\n5290 19363\n5685 18790\n26694 34590\n13656 41497\n7120 40167\n1150 17976\n9816 28485\n2571 27758\n2377 32687\n2672 33649\n12475 19719\n4974 17968\n3365 17229\n12536 30325\n877 17727\n3189 27479\n18882 45007\n24057 45535\n8132 9200\n17439 35134\n12854 14472\n2302 39049\n3120 14883\n16023 38861\n1558 11813\n10539 45454\n5261 29330\n26975 38853\n20250 45590\n4617 25289\n30884 43200\n38580 43932\n28685 47333\n24476 31868\n11082 40028\n23438 40553\n11575 42721\n6327 36860\n3664 39356\n11412 45924\n40605 48606\n2311 13993\n13811 19847\n6372 40327\n14963 40288\n1170 40240\n19793 45050\n1741 36535\n4626 45560\n8305 48336\n710 33094\n17962 39313\n15084 29451\n34296 41387\n6431 20276\n10227 22578\n22161 47702\n25413 32224\n12684 20730\n32230 40175\n23141 38545\n4515 27019\n3869 22401\n12889 31624\n287 2082\n2443 30573\n27426 33998\n18722 31574\n35852 42632\n7155 48299\n20335 41274\n4064 40230\n18877 46714\n31527 45687\n21019 44788\n45826 47188\n6996 47741\n1277 13532\n11074 35626\n14059 34609\n13941 32912\n24835 47265\n22675 30554\n15515 40291\n3585 24476\n76 21721\n30555 37046\n4685 14080\n32583 39893\n27930 36123\n10913 18047\n19532 27404\n6832 41322\n12660 34956\n25817 40773\n21360 43541\n24001 26869\n43441 47562\n20609 47741\n907 23959\n2890 32120\n1510 26522\n17398 24465\n20721 37702\n23207 29479\n639 28790\n8033 42897\n798 6147\n12792 34674\n4092 14182\n13573 29746\n10558 43052\n33043 39458\n25256 36435\n14509 32247\n15978 47948\n20222 40232\n5816 29520\n11059 14310\n29578 42809\n30336 47551\n17833 26757\n19550 29282\n18774 28300\n17794 35819\n17650 40782\n6503 46369\n33045 43646\n3469 4139\n31829 37108\n20389 23697\n4658 46316\n1401 28516\n11368 26995\n2895 6711\n5014 15779\n3446 16690\n23704 24498\n5559 39788\n23215 42353\n27351 39084\n9668 11743\n2569 48165\n18327 18755\n29350 47158\n7237 15662\n9937 41578\n5139 21423\n4001 7912\n12603 22961\n16347 20659\n10723 31308\n4181 9016\n8842 32324\n27191 27639\n1635 1966\n8884 22580\n10632 47231\n15220 24195\n22073 32881\n9237 21262\n2678 44949\n32739 34927\n25948 37889\n18213 43026\n1188 23704\n13923 24804\n8861 29139\n1124 3787\n12897 45035\n10564 26562\n14701 45978\n25156 45043\n14773 22568\n7592 12877\n3015 39256\n1463 17808\n22043 23942\n7550 38788\n12609 25969\n5849 39121\n23120 26235\n7394 31434\n20961 33194\n2765 24588\n7217 47058\n18631 29337\n25869 28105\n22802 44725\n15911 44310\n2206 24831\n10773 16673\n13153 17396\n22161 24351\n7617 32713\n10020 27310\n8482 10101\n2043 41661\n11439 47991\n4161 47965\n10937 33690\n14082 20018\n18366 22148\n25498 35093\n22599 47923\n171 9081\n33054 45565\n37666 44774\n21317 25474\n24034 28681\n14087 31731\n46123 47647\n946 12528\n27751 42042\n23789 30748\n16110 41208\n5276 24473\n36702 37522\n12724 20399\n31025 34148\n4292 44186\n39687 45077\n21767 22961\n972 23898\n20002 42422\n920 48263\n25226 30918\n5481 31020\n26598 48005\n4701 29746\n6101 43046\n4706 26139\n16425 44700\n19898 33112\n28781 28826\n4315 19897\n4858 27902\n36287 47862\n3596 20928\n6701 13003\n13035 36727\n17969 18891\n34212 40722\n5190 33268\n31250 31964\n14813 48156\n22627 24144\n33132 36378\n30590 45159\n9085 41120\n21276 39904\n35598 39224\n17080 35185\n1915 31694\n19742 29411\n13919 14652\n15825 31847\n8993 39209\n8495 21333\n6389 33913\n10293 39673\n2031 43083\n7099 43792\n29057 38987\n30923 47528\n23031 25494\n6085 37520\n763 43560\n18168 27971\n8092 47431\n4296 5400\n19969 23909\n11394 33324\n1045 22584\n38291 41686\n6292 42703\n42406 47907\n3374 19535\n12741 24963\n242 5252\n15935 33776\n19349 46140\n4904 48526\n7436 42155\n23290 27494\n33943 43335\n32857 39135\n9328 19102\n21852 44340\n30545 36496\n2769 47177\n13767 34151\n13720 36155\n18744 28837\n4616 12782\n18236 25836\n30824 37190\n5510 43742\n2021 46637\n19824 22842\n8706 23847\n6178 33929\n30787 36679\n18797 45386\n23380 43227\n12673 25073\n4824 35681\n26442 29990\n19779 28055\n18219 28971\n23058 29359\n8803 37712\n24845 35933\n17982 18406\n7691 9881\n12747 30220\n2017 27225\n38423 43049\n6732 24036\n29367 29770\n451 14264\n9624 47653\n35275 43126\n5289 20639\n31560 34647\n18381 38965\n23693 35785\n9642 17282\n15133 31739\n20170 48635\n6074 27189\n31343 43316\n23389 48372\n25231 36302\n24870 31575\n3802 18975\n5106 16375\n25836 35096\n15067 43722\n25162 44612\n16386 46221\n15648 42952\n26906 27640\n8339 39046\n13618 48658\n4725 17422\n3474 43811\n708 37887\n5603 37315\n5379 9581\n35926 40688\n20329 45303\n28439 31101\n42592 45106\n3407 36892\n239 36908\n6502 46981\n19976 29845\n13053 23183\n11826 22096\n35307 46337\n7740 45648\n13030 38597\n23651 42577\n6058 28484\n6463 23575\n4286 14803\n19569 31951\n25976 27616\n1180 38627\n28230 39916\n10807 45718\n3627 20314\n23928 28973\n17317 43535\n12832 43698\n2554 25109\n14307 36569\n26533 45320\n5961 25691\n697 21073\n12289 28454\n32480 33345\n12999 22921\n17569 41250\n26624 33800\n2906 19431\n26815 42237\n7676 24829\n12585 27010\n9339 37001\n9528 36823\n1099 25867\n10137 15543\n16078 19720\n3545 37584\n9109 42030\n12977 34305\n6595 31334\n39216 41435\n18152 34842\n15095 21351\n4058 8910\n41613 45061\n11278 24339\n599 18005\n8747 9658\n15550 21441\n35569 39479\n43988 45765\n1240 23902\n21553 33253\n8886 42236\n9883 35533\n7719 46290\n9652 40914\n11395 22659\n15425 17087\n10554 25844\n5694 21920\n10211 14942\n37272 37940\n13764 19309\n23300 28528\n43758 48437\n21499 28183\n16206 17616\n9090 21136\n8047 29907\n4673 31291\n21245 39428\n5124 46827\n5291 26999\n5160 46066\n3293 13038\n1390 22190\n18487 26893\n15393 36611\n16171 41440\n1244 7941\n21356 30115\n12569 46607\n1940 4521\n35481 39462\n18954 42833\n31959 44411\n9353 31416\n19424 39891\n942 29781\n672 37125\n25689 42795\n30906 37919\n19255 28904\n325 8018\n10147 26332\n8138 27899\n7491 46753\n6101 27388\n21271 24712\n4784 44057\n6951 24389\n14801 42110\n5787 22284\n11652 33845\n12179 16186\n31522 39168\n29460 45028\n34693 43469\n8082 32303\n21898 27410\n13347 36337\n35281 35283\n5682 41272\n23178 41939\n16175 29203\n1857 27914\n29757 33999\n5846 29086\n37883 43815\n20638 44253\n32039 36972\n6092 11472\n2653 6940\n2479 14924\n13437 16341\n26676 38094\n8376 35026\n25694 46904\n15429 24885\n46823 47632\n17073 36191\n5103 10645\n21918 24863\n3851 19029\n4871 45767\n4430 26726\n13878 23332\n9282 47053\n27926 36825\n2118 16040\n15373 16254\n22876 33925\n29431 35863\n29721 33148\n9871 19404\n12712 37013\n37781 48520\n21087 25119\n32317 47014\n10707 29704\n19808 45899\n2534 44919\n3012 16653\n4983 17657\n4792 30247\n7245 15324\n21556 47355\n169 32026\n10651 22054\n10468 41529\n12740 33635\n5212 10546\n15537 27294\n34209 40673\n11583 15668\n25503 32296\n21011 25329\n2212 20866\n16205 18739\n9047 38778\n35139 39764\n14008 14734\n2704 18515\n41560 47836\n427 5650\n1386 28563\n33433 39602\n3757 19620\n5127 41971\n33796 42891\n8261 20254\n19189 43715\n5399 40898\n1587 1741\n21899 45671\n15101 48563\n5149 11804\n12392 14427\n34543 40756\n45027 48195\n36478 42476\n5542 44368\n24959 47396\n6165 48117\n9036 39366\n1912 16286\n9939 19134\n3607 9791\n18209 47022\n9924 29552\n20267 39374\n33079 44252\n11251 14209\n495 33712\n8584 40434\n14597 16704\n27191 34635\n11479 46759\n28715 35325\n31533 47990\n8612 10060\n26916 44674\n10971 11150\n13186 21017\n11757 25584\n27687 36512\n5465 37618\n10869 41754\n5605 19539\n4391 36078\n37889 47594\n28194 38239\n3629 33623\n16702 47928\n21002 44596\n29590 37755\n26183 37754\n7515 10460\n2027 8372\n6227 11388\n9199 32765\n5825 12348\n12980 37271\n19822 47419\n39579 46533\n7986 30882\n40267 46510\n2485 17709\n6714 41240\n14692 35768\n38641 40923\n22833 45771\n2900 44100\n18037 32209\n7605 18238\n13153 46251\n7550 30472\n13901 16365\n20188 28787\n5021 29926\n40561 45336\n7873 47049\n32681 43248\n10993 33838\n22306 31760\n39412 46666\n4850 16298\n2146 2650\n1544 39597\n11449 40917\n3616 32589\n17149 23276\n4376 12580\n5971 34311\n5705 8858\n4573 5894\n12107 48580\n379 45980\n9178 13765\n5765 22698\n43312 46105\n1032 19541\n40421 47590\n27150 34490\n11778 38313\n1960 24371\n15966 32451\n21986 24085\n29880 31297\n19847 36768\n32588 42624\n3378 38274\n1412 45658\n3520 24142\n20684 23664\n5858 43168\n16464 33431\n3194 21380\n6965 39507\n29504 36096\n14958 18146\n47724 48080\n27999 28724\n31282 44592\n2459 13844\n34992 45678\n20351 36828\n30238 47300\n33292 39406\n28903 30787\n31203 46810\n14642 44658\n23778 28312\n34439 42086\n3575 26090\n18052 35588\n17402 21847\n6438 41888\n45050 45456\n45776 47336\n5029 43535\n378 46297\n19289 21951\n12880 28968\n32148 42259\n12199 26989\n3891 7622\n18562 40289\n21772 48614\n3467 47310\n25992 35895\n18559 26693\n45761 46813\n1074 33861\n2819 13780\n1601 30294\n36421 41131\n719 38854\n44657 44682\n43506 45236\n35319 48540\n21396 46129\n31766 32779\n6620 7133\n62 21298\n26829 29931\n7644 17764\n9959 46046\n24098 47720\n28137 39549\n4599 42285\n31625 36532\n22789 31699\n12056 39663\n19740 40796\n22614 33207\n23832 32947\n3146 36630\n5067 44288\n9490 48242\n8770 14476\n10898 27371\n13243 30407\n14200 19380\n14192 39714\n4239 43811\n1466 39662\n10476 11895\n21915 32225\n19397 21168\n11397 14040\n30858 42529\n32865 34559\n16285 17282\n9355 47996\n4711 35227\n16734 37790\n18911 34787\n19370 23716\n6414 24994\n38936 47401\n1161 2628\n3666 21472\n6088 35444\n29876 45349\n1466 13745\n2537 16199\n27447 36027\n8497 28038\n6913 18675\n29770 44521\n7069 20189\n1123 29373\n10229 27466\n16213 37592\n19505 25975\n5153 46492\n31179 45789\n5879 18028\n26897 35816\n6621 45713\n30792 39778\n12837 23985\n13351 25724\n36052 45418\n3511 28654\n15429 36584\n38225 43551\n24328 38841\n7941 33207\n24987 25823\n6813 41758\n31006 36923\n4932 35872\n17713 26115\n961 9257\n27757 47356\n14249 29659\n10683 19562\n9362 35695\n2566 46231\n31219 33087\n33475 38533\n14545 28227\n12391 16618\n31994 34314\n8402 34364\n17050 25206\n13994 25691\n24506 30163\n19608 48374\n28085 45569\n9454 38562\n13061 38925\n3108 14972\n9080 11973\n13936 43627\n39251 40670\n2649 19439\n21831 32463\n1935 42743\n23357 30396\n18289 45531\n31743 33928\n5171 27803\n36276 47007\n25724 37446\n20500 34384\n34769 40344\n8230 16405\n26017 45639\n8729 42910\n3163 17408\n549 41238\n33002 38856\n14918 37891\n38210 40514\n22107 37980\n10406 21007\n13014 36439\n15291 20965\n19723 40452\n14272 46492\n17164 21755\n2862 43860\n15103 17355\n20318 30863\n3002 46713\n9174 36030\n21712 27579\n31296 34247\n45105 48658\n5815 45099\n5118 31260\n22283 41834\n896 1568\n12036 13814\n17553 44774\n19429 46661\n17773 47247\n4545 43649\n27829 41467\n31719 35113\n17335 34709\n24084 47154\n922 37811\n8688 32577\n5844 13596\n42054 44802\n22804 47107\n5697 11073\n553 46726\n4976 22001\n2884 18805\n17998 47924\n13504 23760\n19794 22409\n12997 20514\n28308 32429\n23052 37856\n17640 25778\n1213 24829\n17733 22646\n29633 39583\n13171 39152\n30583 31090\n16513 30106\n46459 46694\n31912 32891\n35402 45683\n28677 30104\n31399 38798\n21414 32152\n38981 43980\n2751 36821\n26118 33969\n19413 42342\n7195 22574\n34614 45195\n15597 38367\n17371 41152\n6029 11727\n9788 12078\n6034 11293\n29755 42380\n17442 28553\n31532 33715\n8423 18674\n2470 12833\n28875 38415\n32927 41409\n31682 46196\n1162 3215\n28746 47482\n2641 7696\n28519 42059\n19653 32152\n29256 43269\n29325 32079\n2010 24401\n9500 21172\n7164 20241\n18427 29198\n129 28823\n23067 45183\n15280 33509\n29981 37569\n1998 35713\n13310 28268\n38291 38795\n160 3279\n17803 48353\n4779 28173\n21842 39110\n4145 8370\n2323 5203\n5163 26771\n5960 19771\n4988 29661\n1984 38289\n19864 22341\n14236 44351\n10437 42157\n25842 47818\n11880 27814\n3421 45197\n22842 37944\n5520 42817\n36894 39715\n13414 26755\n8921 45199\n11420 26394\n28333 40713\n18203 30598\n2247 33076\n37642 44672\n1722 9975\n23138 41470\n23261 25633\n9110 28694\n42793 47671\n24 25721\n15633 39726\n21321 29290\n17754 47833\n16405 23650\n10987 43823\n15341 37377\n28116 35927\n2775 14951\n1663 16031\n14102 46579\n487 46993\n1445 3982\n5163 20843\n25906 30419\n8107 28200\n6834 29133\n15068 18366\n16657 33726\n3048 45919\n36777 37106\n12345 18823\n7579 24602\n11973 43687\n9036 21113\n7706 9614\n1255 42182\n16293 45145\n3301 43403\n12531 42445\n16058 37978\n22830 33027\n2774 25457\n12237 27742\n31890 44827\n18495 31225\n8356 39893\n31063 48294\n41026 46436\n12916 22210\n23729 34363\n24412 48185\n26301 28274\n22662 44024\n37253 40908\n13282 37185\n19049 45953\n8573 41159\n852 10823\n23631 40166\n34842 45289\n27627 35319\n9222 17349\n17188 32691\n15964 20006\n20368 33073\n21561 33117\n20941 41484\n16118 33707\n33648 36350\n1579 17655\n27613 31338\n6346 27247\n9406 44893\n348 13792\n10249 39900\n38287 39536\n17237 42343\n10541 30705\n7795 26813\n32959 39474\n921 15589\n2371 26694\n26819 45046\n10624 41728\n24221 40570\n21048 38602\n25857 37563\n12612 34243\n39336 48024\n22452 33061\n39777 47444\n12062 25438\n5427 39346\n16995 31689\n32388 35811\n21005 30988\n9218 9979\n24238 27694\n5484 27888\n5547 17161\n15769 48516\n926 40335\n32271 44394\n16166 40413\n35403 43935\n982 14256\n19017 39790\n23423 31455\n2134 23044\n36454 45340\n3091 46286\n5402 27471\n5953 21401\n33460 42884\n29024 29775\n37857 41891\n27848 37729\n22530 37524\n14011 27474\n6843 45417\n3873 5830\n6255 23165\n12439 32871\n20163 46987\n11344 44306\n9425 10380\n22781 34367\n3238 36001\n23254 31805\n31579 48559\n900 40540\n24734 24785\n11539 45659\n28706 40617\n11317 36976\n15192 19723\n26247 45821\n1049 1484\n7143 21098\n10471 23464\n8160 35108\n3263 24172\n12407 32465\n18291 26257\n40821 42081\n30221 31977\n20168 26275\n28482 48492\n27927 40225\n18923 30702\n16021 22437\n41039 46007\n8763 43268\n34518 43750\n26736 33565\n4615 9629\n42170 46707\n19312 37174\n30942 36011\n23827 44029\n32052 33475\n3091 28032\n8122 18147\n16694 26964\n25873 44134\n582 7508\n30126 39195\n17082 20972\n11094 25004\n23536 34896\n32026 45308\n41170 47496\n33942 34968\n21989 44010\n16221 20898\n21903 33110\n14751 21118\n25139 32092\n5598 29695\n23295 44682\n31558 34799\n3095 29647\n11690 37873\n41479 46694\n32806 33092\n35044 47390\n18682 36092\n1980 45496\n13594 46085\n8808 32223\n9075 15811\n9004 17870\n18528 26449\n28198 45134\n4677 40440\n19018 43492\n2641 22254\n22767 41452\n5137 19672\n40560 45086\n16211 23293\n823 6713\n17858 48314\n10234 36150\n26613 45016\n33174 33792\n40988 45285\n33545 42910\n35683 44642\n28491 30369\n864 45604\n12946 19226\n4845 43941\n14693 17818\n6368 17389\n12158 19810\n16952 40062\n14363 17817\n25462 46871\n33024 47443\n20625 35621\n23063 32433\n1547 12525\n18808 24053\n30120 47845\n25221 42508\n22507 40231\n16985 24757\n10905 21844\n16292 46325\n10440 11565\n18821 42915\n32544 42794\n28582 28932\n10842 23709\n14805 44236\n4409 32104\n45153 47740\n8269 31185\n1129 12361\n27868 39291\n10315 38459\n18351 46658\n5468 17842\n3897 7500\n228 35868\n320 24234\n7848 32353\n17946 30079\n40663 43635\n8437 31256\n3517 35192\n27380 39967\n1718 35318\n30571 32327\n4354 23287\n10240 23213\n14354 45382\n21865 30379\n8029 27906\n8009 30573\n37048 46446\n15328 43554\n69 36310\n32262 39181\n5365 43726\n1768 26627\n37156 37382\n10632 12547\n5873 44223\n24192 39788\n16762 32561\n26006 45767\n12302 46876\n36998 39758\n21857 31297\n12124 30993\n30188 41046\n7786 39679\n892 13745\n17158 35743\n18982 25264\n27073 43913\n892 2662\n23476 41511\n23384 41613\n20043 47567\n41031 47762\n26244 28583\n36975 43896\n12562 34651\n21954 41546\n24346 32567\n13481 32488\n26979 31053\n35066 48148\n4966 37722\n13957 15191\n23547 46469\n4156 46209\n14973 44729\n2923 3743\n14849 16990\n34326 44664\n8876 15977\n10221 21309\n575 40685\n10008 48650\n5795 30822\n7318 36803\n3207 30030\n30606 47672\n38417 38754\n9168 46181\n5089 41806\n39352 44141\n10927 22592\n9525 32959\n13583 32024\n7323 29553\n704 39304\n3699 19175\n17555 42263\n10827 34913\n29910 37636\n12025 46201\n2942 30598\n27699 40668\n32293 43797\n14739 24716\n12205 36581\n6963 32537\n22843 34340\n8429 14326\n7015 23245\n29751 38748\n27980 48086\n35076 35954\n3218 43707\n30951 33413\n24175 33493\n31528 45347\n26254 28813\n13814 31195\n25520 45878\n27419 30496\n24683 47581\n6819 47175\n23641 38527\n27291 45214\n1487 8833\n18739 33522\n4425 20808\n9972 34810\n21442 47747\n8321 11588\n8039 33107\n16051 17915\n7566 22925\n9279 29569\n11687 47394\n31592 44812\n15705 29256\n35307 36621\n5205 47880\n4592 44182\n24134 26218\n17886 43170\n27507 36849\n2727 28060\n35476 37527\n9614 30364\n9498 11523\n27544 30558\n20151 29839\n29812 34855\n37717 46908\n7613 24586\n1916 29591\n19013 22916\n8289 34761\n8234 32937\n31634 33340\n29512 43315\n10105 25275\n9245 30060\n21594 43410\n6284 9826\n8343 30049\n16447 32023\n16850 30894\n34511 42597\n6087 27451\n33947 36871\n4818 36932\n20609 23008\n29456 35722\n35153 47391\n29172 42446\n10714 48582\n31454 32565\n24415 27918\n21917 25111\n35870 42795\n36556 37803\n27488 38343\n1114 34277\n15033 28761\n13763 43385\n29530 37963\n23129 26435\n13771 45141\n2462 7684\n8066 24399\n44257 47071\n19761 45408\n30093 35307\n66 14009\n10474 17785\n21204 32366\n18152 44160\n15009 45271\n28188 41299\n35964 47935\n16738 37640\n38768 47527\n18582 29330\n32883 34293\n3360 36137\n1293 30717\n36537 45858\n11597 14815\n4972 5796\n5288 36644\n29922 43563\n28060 46600\n38857 40175\n29297 31777\n11425 24633\n6618 31661\n21479 30008\n6813 9909\n4348 23650\n8846 18508\n23398 31188\n4442 14897\n26483 41830\n4755 44181\n261 37808\n29479 35450\n2167 18740\n31105 41883\n4088 8208\n1889 8396\n34408 44915\n5476 37522\n42448 44949\n11200 40524\n7064 11766\n7850 40247\n1108 21193\n14098 32691\n4891 8179\n10828 13017\n5788 22490\n15395 35779\n6950 31207\n4523 48486\n17396 26967\n5441 21125\n30190 33946\n3489 9387\n4174 25457\n46326 46460\n20368 22654\n7118 20593\n21197 21332\n3122 13523\n45029 46352\n6578 32830\n15977 42184\n9116 33291\n31051 34372\n8887 29821\n8609 24886\n11130 41330\n16264 41216\n11296 27619\n3286 32522\n3716 19415\n27681 40903\n8003 29479\n47145 48386\n265 30564\n29764 37283\n7217 32664\n14132 41335\n5995 43459\n1447 48002\n19089 47411\n27172 38147\n31427 48519\n43436 43631\n14473 28494\n15082 18296\n6659 16048\n4374 20646\n984 15591\n19203 40518\n13625 31070\n23405 31071\n21284 39970\n4898 47329\n2685 7218\n22933 44045\n529 3750\n34829 43112\n34012 34990\n2243 40106\n9902 41644\n12777 46233\n2127 37281\n16665 46566\n1638 23972\n18446 35681\n30726 44702\n15266 18500\n28876 30541\n12422 44124\n25 35054\n3008 37951\n14689 40947\n29057 33371\n29043 30555\n22043 29663\n8834 42042\n25787 33970\n12361 17864\n29430 32826\n17153 36492\n10846 23952\n5475 8191\n22441 45695\n25521 45207\n5040 26287\n29330 48082\n8030 12207\n13780 42702\n8123 21612\n2558 22568\n38260 40031\n6904 22160\n28566 34332\n11195 33594\n11428 21620\n534 28500\n13007 28769\n533 7341\n41167 46273\n8540 46184\n3956 20096\n20546 23353\n43796 48411\n44488 46162\n19816 32917\n1342 44135\n9168 31470\n10600 44588\n28370 37684\n3616 23809\n28441 41387\n42545 45962\n5641 38732\n23558 44564\n21770 21943\n14322 21827\n13615 18686\n18201 45523\n14489 19875\n21201 45008\n33494 34610\n2099 30456\n24451 46625\n2240 40678\n18658 43202\n23856 24399\n39260 46018\n19818 47461\n3693 28975\n25266 37583\n11434 33397\n12517 35988\n16819 45012\n13091 45832\n11118 17841\n19849 25766\n8060 28247\n12722 23192\n2540 38095\n2616 6307\n24967 26262\n165 19763\n33225 43485\n36702 42278\n22118 38826\n10667 25277\n4817 23874\n4124 31709\n15686 22880\n23936 29774\n26924 47022\n32944 43896\n12661 42562\n23139 42795\n22102 31184\n11876 20368\n9705 27655\n4999 37472\n32990 43237\n16987 42188\n10798 23721\n31181 47296\n26249 29712\n13011 47388\n33315 39377\n11599 43004\n16088 38361\n16077 40427\n45226 45727\n33101 35087\n8671 47467\n5954 30983\n38350 45373\n21746 41881\n9134 41927\n19948 48009\n6451 29074\n8035 18792\n10996 11632\n22664 34835\n23346 24324\n17142 48148\n14812 26180\n1479 1584\n2446 39171\n21760 37792\n3368 16841\n2410 43175\n6059 15318\n20315 34175\n11902 27203\n4685 44052\n6113 24678\n10581 15102\n5525 42555\n40809 41082\n990 29287\n8840 17952\n4814 25677\n31653 34516\n25865 39948\n9782 26375\n21131 32414\n22614 34206\n1241 30088\n6170 25501\n14066 33174\n26016 38067\n28701 35361\n26448 41041\n14684 23541\n11044 31619\n23772 47402\n31174 34133\n1103 7746\n7233 29768\n1803 44188\n3708 36620\n8066 11712\n14165 22708\n17995 35279\n18726 29139\n21065 34180\n4223 18150\n40756 42686\n11165 11662\n8643 21248\n10437 45599\n24153 44414\n13 32440\n3513 14976\n13602 40112\n39583 41589\n7180 19626\n12859 14848\n7354 31943\n26280 42874\n1747 2816\n1125 36057\n11916 41696\n16673 22929\n35737 39846\n1918 6988\n7192 38583\n5603 37084\n7246 45896\n9175 32043\n3371 34216\n14345 33896\n10869 19355\n15037 31595\n10671 31245\n950 28980\n13411 24613\n24363 40844\n4720 48492\n11663 42741\n29882 42245\n7519 46312\n38785 48153\n30188 35282\n26460 41006\n10234 22671\n614 38433\n32822 46312\n7814 43674\n41928 46988\n32372 33360\n4824 8251\n26921 34983\n9411 43224\n24940 44090\n13271 25596\n4500 25150\n4619 20980\n547 19214\n10289 12908\n22101 35573\n25349 40552\n37019 42585\n17035 28744\n20228 46136\n1354 22899\n10552 14346\n2388 34286\n828 43053\n21989 36588\n12625 21233\n23881 47331\n14593 44218\n13080 34537\n4223 28255\n19488 38326\n8286 10511\n18273 21647\n3351 13159\n7909 17290\n21704 39325\n33139 47638\n19828 41645\n15762 19152\n3007 43120\n11208 28905\n6759 45318\n19791 36610\n9597 40853\n6055 44980\n98 39652\n24710 32267\n10161 35024\n2034 14978\n22266 44836\n34453 35729\n7296 16770\n7491 20562\n28524 44012\n12823 39309\n23820 30095\n31676 36129\n31409 41799\n34646 36558\n30910 45668\n4379 38333\n7466 46089\n1107 18047\n2893 47315\n28516 39186\n34348 47462\n7535 26594\n10709 24855\n11593 33164\n10845 21862\n10760 29315\n6269 35725\n26844 44005\n25384 28383\n2353 32214\n11637 13056\n11381 26295\n5948 36011\n19020 37123\n27016 44506\n18193 25080\n10043 31074\n21045 25130\n27684 39769\n165 3021\n18289 21378\n21392 35742\n532 20398\n5391 45250\n46299 46610\n10052 34395\n677 10366\n22630 45966\n3644 35930\n16840 44397\n27447 41736\n2066 18560\n2235 20965\n2082 2776\n9895 37910\n24344 33335\n27428 47325\n17683 40274\n14232 26326\n39555 44277\n37708 43792\n18081 30914\n6496 19033\n9552 18524\n37314 46651\n3258 46983\n34505 40171\n1471 12608\n42208 43093\n13175 19024\n13843 37584\n42430 42908\n5721 24182\n17183 26296\n1783 20685\n8436 45977\n36199 38708\n41084 41842\n5572 39077\n1907 33615\n3693 26355\n7959 30094\n5011 33453\n11050 23404\n25043 41760\n26813 30448\n22607 40790\n21942 44283\n18793 32121\n34221 42796\n30588 32053\n16027 28743\n2674 47873\n16325 39566\n10559 41378\n7612 46155\n9789 36337\n287 4589\n2035 21477\n12356 46983\n12866 28705\n1824 27399\n10542 16583\n37406 44419\n13648 41056\n25861 38493\n4037 34887\n2218 3344\n3988 30963\n18284 26247\n10640 42346\n44019 47365\n6044 38979\n17389 29126\n13689 41653\n1203 31425\n17886 29062\n14956 24283\n30219 39816\n20939 33201\n22464 26289\n26198 26993\n41965 47271\n13675 36415\n32472 33286\n5594 41397\n41735 41902\n40034 46813\n23340 33235\n5649 47253\n16196 37445\n28644 46717\n28723 33881\n2898 39729\n21581 27246\n23133 27247\n19771 40913\n9655 33356\n13752 22392\n9470 22008\n2810 41141\n2054 13916\n14403 42716\n18910 34969\n16829 21873\n4877 47058\n2822 35103\n19500 31916\n16051 35388\n29138 33744\n31453 43438\n10815 23544\n16926 40606\n19 46390\n8454 39967\n23135 32261\n10474 36820\n39037 43883\n19284 23016\n9790 45176\n543 10288\n36849 42952\n14486 39121\n22427 33208\n28581 46192\n24738 29088\n36721 47905\n16288 26021\n6110 39199\n6963 42336\n9472 26080\n13246 25807\n28683 44650\n17248 43546\n3610 18788\n46084 46752\n12374 31843\n770 11420\n32284 47007\n37204 43139\n5623 12186\n1531 42762\n1041 38755\n26987 35104\n5725 17131\n5607 36748\n6376 19497\n9549 28421\n3391 15198\n1922 34536\n20315 21416\n14902 36120\n4842 26917\n39646 45575\n15663 16310\n35115 38507\n28841 40716\n18108 22141\n4219 16802\n17404 26705\n48282 48378\n16999 48238\n8722 21779\n17202 48372\n5398 21304\n29510 42585\n18370 22352\n28656 36390\n33466 38704\n16005 31189\n7508 14868\n16804 22727\n17649 38875\n31893 37681\n6406 32319\n28760 39895\n4964 7504\n12629 16011\n11862 13714\n31944 37314\n23301 37317\n11870 42371\n16826 36227\n28311 42937\n20214 43067\n4098 35250\n9968 35373\n36761 41266\n13669 20297\n6434 45110\n274 44667\n11985 38371\n9930 31790\n38616 39359\n11400 22095\n17146 19471\n10415 16383\n5982 35745\n1990 35179\n2686 48422\n5353 32638\n14154 40348\n25311 38059\n25168 35833\n39527 44465\n15308 30591\n17944 39774\n11205 18949\n681 29600\n8548 19391\n9657 11449\n5137 9781\n21374 30399\n14783 17762\n16098 26965\n2016 2559\n23972 31349\n2267 42678\n5239 5714\n773 9730\n18587 32800\n22186 32317\n9476 31972\n9630 20597\n5302 20232\n13989 34200\n15935 44547\n778 27534\n21913 45813\n8677 38839\n43333 46783\n425 26671\n5783 22930\n40568 48343\n7353 17029\n13727 17301\n26054 41287\n14962 31996\n15436 22460\n19209 38608\n36023 48068\n13331 43344\n2749 45012\n7856 48566\n10076 12222\n37846 39941\n15792 22535\n32802 39038\n19290 30121\n28114 37594\n46536 46859\n6019 35542\n10845 11018\n19506 28920\n23746 39086\n8659 45491\n45 24589\n45563 46888\n24020 25980\n5664 47104\n1592 41869\n27478 34130\n24824 48238\n17123 26761\n7585 32133\n10435 35693\n23556 40456\n2439 7212\n24678 30735\n7943 28207\n27178 29855\n29935 39952\n31861 45080\n3992 28192\n1965 40894\n12387 31553\n21645 21911\n2510 13625\n20828 27640\n21820 43241\n10539 36208\n24510 36075\n40176 43634\n15181 27783\n2743 19408\n26508 31399\n4346 6398\n19632 21636\n12292 19858\n28698 38123\n7926 34081\n5369 12752\n23940 46930\n2472 16361\n3143 5036\n3824 36357\n6547 12116\n34263 46265\n9501 9858\n13764 18179\n5600 6264\n17817 48643\n26019 37992\n198 16336\n30320 36556\n7663 22294\n13657 31961\n4848 9337\n26281 36739\n15996 41704\n12499 46045\n5112 16414\n27565 37615\n21861 24721\n267 7656\n19008 45884\n9021 45111\n21604 25943\n6166 22864\n34976 41713\n38980 43483\n35486 37999\n12471 23021\n7742 37472\n12079 14719\n7123 29931\n2579 15814\n15732 39100\n14769 46371\n7735 26580\n18411 35556\n12727 30484\n29187 42307\n17281 35084\n11249 11490\n10664 16749\n6671 44875\n9452 33323\n18995 19568\n27 15687\n13204 19962\n42097 44889\n24636 47498\n17799 46476\n30074 43375\n31659 43721\n2042 44539\n13996 28805\n34211 44846\n17110 18535\n20998 33750\n5783 19791\n10410 22259\n2559 17049\n31077 48435\n1760 14003\n10686 30559\n15591 17644\n31489 46541\n2190 34372\n24180 27905\n16171 22527\n9902 12011\n23279 33060\n21807 37039\n23036 45976\n7933 43742\n7746 29541\n8702 28370\n13977 40257\n30897 40854\n16947 47280\n108 11890\n17615 32774\n29775 40846\n13497 46253\n3995 48357\n12378 14773\n17008 42031\n9176 24929\n8864 8914\n29575 44437\n9180 38752\n12916 39149\n13853 18792\n10950 46824\n11258 21737\n21667 41733\n18732 48121\n25170 39060\n12369 21362\n33567 42249\n14101 46156\n16406 44917\n1879 32096\n22924 38054\n7306 47642\n37223 45383\n10054 41904\n13115 42027\n30745 45993\n301 31049\n9722 36437\n652 38665\n1858 5661\n4710 15364\n26384 30491\n27035 34352\n3787 27327\n6506 13410\n3281 20053\n35379 36804\n926 6987\n22047 41481\n12951 37230\n8428 9851\n40840 47470\n15771 33622\n11936 41104\n27356 28268\n11054 39821\n13441 14475\n5566 18793\n2598 8000\n5024 5559\n16449 31401\n31002 38172\n4720 17316\n21667 45570\n6801 47775\n16211 39783\n2001 14518\n5591 25804\n20707 38314\n4181 15941\n10495 20250\n10655 29699\n20655 43663\n26436 38774\n40135 47484\n3481 20727\n4642 27752\n13333 26540\n194 27803\n28853 38249\n25001 48326\n8263 24354\n4530 16023\n13559 24407\n19884 24202\n20141 45384\n25540 35529\n33424 37100\n472 35725\n23560 36659\n7074 8286\n12460 22006\n1994 33751\n25123 40403\n34164 41641\n17902 32509\n33201 40278\n2369 27764\n28029 46853\n30831 41103\n26766 41308\n1151 31486\n10021 41844\n10249 31907\n33840 41622\n8048 34155\n29339 40823\n16946 35211\n23445 36929\n18947 20890\n20181 43340\n29327 47419\n7828 41299\n4357 43939\n18653 40029\n10681 18224\n11293 46185\n4687 10175\n35585 38574\n40818 48424\n44188 47518\n18396 19391\n5636 42197\n2783 25727\n47247 47326\n12101 27894\n44683 46863\n1362 9991\n9754 22836\n27211 41488\n33310 47029\n7343 25920\n792 32798\n8611 9437\n12579 14739\n11277 36998\n36730 37647\n15047 30366\n671 15269\n5376 8824\n4219 14182\n2820 5806\n18438 23105\n7944 46304\n15485 24241\n4622 7784\n2365 40105\n20563 39179\n212 15226\n18105 31085\n7498 20984\n7811 37931\n6038 46109\n14448 16185\n5674 12265\n2550 19143\n435 32586\n13853 22708\n15574 21209\n18892 29801\n18037 27618\n5254 6144\n2724 30321\n35563 41019\n4290 48036\n36575 41900\n13084 37546\n5032 27814\n27539 34440\n18249 44407\n29854 46662\n9813 25192\n2560 29148\n9144 44785\n9870 35608\n15160 37109\n4001 38374\n5761 25444\n14814 46619\n9477 35818\n4872 13321\n2913 35855\n17438 45254\n9265 14611\n4883 18393\n10876 13403\n8605 16056\n23234 26279\n17878 23668\n5499 9227\n3413 42835\n20596 27744\n26571 39195\n7200 9200\n32399 44711\n22682 44811\n1732 22995\n5385 27300\n19241 24065\n999 22117\n45307 45535\n561 31561\n372 13257\n14173 20032\n22787 41033\n12697 34438\n6491 30210\n10313 45313\n22597 30472\n668 30294\n23611 29912\n11980 40940\n34427 36303\n40673 48072\n35266 39177\n44762 46283\n5885 31997\n37045 39739\n13947 16241\n6086 28325\n12713 31397\n12652 43897\n530 31911\n16563 44490\n14462 35866\n31870 37645\n15800 48393\n14868 47834\n4486 29448\n5166 16140\n31755 37711\n14466 17915\n30276 39729\n22880 40646\n18302 19740\n11914 34389\n13207 28690\n14820 44327\n14847 14955\n1876 42094\n23357 44635\n9737 26327\n14310 30411\n9397 39968\n827 32800\n23572 26953\n25544 47755\n10708 38386\n37741 45480\n35198 43904\n5385 21877\n15869 21938\n12833 31391\n16008 30684\n33262 35158\n31285 44993\n5502 25439\n30429 32101\n1894 32973\n16756 32272\n14193 22823\n22093 46484\n3435 9618\n21734 39447\n13852 45882\n27663 44866\n3602 44441\n35392 46204\n37806 44298\n13328 46142\n16692 31008\n6338 47552\n21772 34064\n6704 42343\n24159 30834\n753 787\n18637 25428\n9832 36368\n6983 16586\n2372 7716\n8182 45547\n22701 25495\n40906 43476\n14752 40760\n8125 24908\n2899 21804\n22422 48221\n19771 38014\n10093 22797\n16062 19180\n42890 45956\n5633 43661\n33644 36922\n9767 16433\n42237 48121\n12400 16725\n7675 11002\n35300 40368\n43954 44102\n12677 25080\n3827 43813\n5754 15077\n18529 24161\n14990 25292\n18537 42118\n18844 22763\n4497 36070\n1452 11450\n7586 24738\n1562 10235\n18605 38895\n42124 47412\n21721 21813\n18985 29817\n2845 5358\n25882 38169\n29891 39139\n13248 46978\n6364 42603\n29004 33541\n7343 48484\n15616 41950\n29678 39328\n1895 26306\n23849 47180\n48180 48594\n25052 30311\n21031 47222\n30779 31999\n30658 31741\n1354 5094\n33724 40523\n26886 45891\n15219 19277\n13056 34890\n12749 37755\n5617 14557\n1293 11209\n14816 46251\n12573 18078\n1951 16588\n19871 32479\n31807 38089\n8516 26995\n14498 23242\n2338 34672\n23861 33161\n2971 18695\n3112 7753\n26337 29137\n36342 39811\n20230 29912\n352 47780\n12267 26842\n26625 30082\n27988 31524\n11502 47106\n10404 23957\n6774 19537\n16539 37263\n6849 18765\n30613 31808\n29094 35215\n2214 7655\n34418 44882\n21237 21858\n4447 27311\n22930 42006\n31685 44810\n29695 38692\n33998 39619\n39598 40694\n28210 45817\n22392 37183\n7268 17665\n17715 34788\n13310 42431\n20248 29092\n37425 48243\n4357 42335\n5565 22037\n23167 43548\n39387 41727\n3955 29876\n22990 29914\n1901 38484\n9358 38186\n8011 44815\n7968 45830\n7852 41247\n22741 22765\n1225 25546\n32244 42270\n8738 10645\n9501 39736\n20957 40411\n14153 17616\n2636 48336\n18711 18794\n24913 45747\n3440 6880\n21767 48058\n27330 39495\n218 19213\n5784 30864\n18468 28519\n20640 21863\n8390 40454\n8365 33261\n17499 18905\n10890 42444\n23389 28674\n10729 18603\n23022 42531\n15316 18256\n15544 35778\n3721 13708\n560 30301\n28455 45626\n43979 48507\n13224 16038\n29467 48558\n19866 47433\n26038 28437\n11851 34899\n11010 26954\n12678 22621\n11473 38424\n26974 40738\n7066 26492\n3868 29946\n21241 30335\n35397 44196\n4058 46717\n6772 45623\n29765 46463\n41275 41290\n27648 44113\n1316 22516\n9186 21481\n38288 48134\n20072 30978\n23463 41639\n5290 36132\n30396 44306\n19115 47041\n10776 38517\n18475 28645\n17691 32802\n183 35043\n6667 16099\n12138 41846\n5769 25776\n15263 33462\n18479 33022\n37815 47851\n15434 28712\n361 41277\n27236 42482\n17656 30677\n20862 39308\n11390 47825\n5914 32979\n12363 20954\n3544 42309\n19539 42220\n22376 38557\n1916 40961\n3443 24059\n6370 22469\n8198 33517\n21065 34327\n46269 47668\n25043 30503\n1275 20990\n16405 43733\n12101 37118\n16089 28581\n17864 32655\n24666 47067\n13310 36107\n6150 42088\n26830 30876\n9716 36847\n657 5931\n4261 10786\n5705 18373\n3507 24755\n17443 23255\n20178 28983\n10920 30174\n45775 47028\n17339 28572\n2860 33886\n19394 30220\n21094 46384\n17999 24886\n8679 29556\n27786 33930\n11779 14410\n39352 40014\n15094 16802\n24863 39738\n9067 9135\n10716 18348\n5672 21984\n4833 41023\n23749 36836\n16177 35907\n12137 16725\n17716 36084\n6179 16696\n20841 45894\n10280 45646\n16729 23649\n6986 44383\n24668 48065\n24053 47990\n25157 29140\n9042 20005\n2620 16485\n14575 15900\n22941 48215\n31011 38594\n281 19488\n28231 45887\n41413 42588\n10609 20990\n38656 45564\n27729 36658\n15587 33578\n11032 22223\n4433 5446\n24076 33295\n19539 20553\n948 26435\n29992 33645\n14256 24141\n8376 42354\n12408 20791\n3199 6072\n27983 37199\n15843 46965\n3064 11104\n12906 17465\n29103 29917\n32896 40234\n22901 47824\n43875 46960\n12388 28810\n7525 44735\n10225 31708\n11224 14754\n23051 25065\n27476 30312\n2798 48066\n5161 27926\n23463 42603\n26356 33267\n4107 21778\n13622 17652\n5622 39889\n8001 38860\n25630 35398\n13501 24718\n825 6565\n7544 34718\n9927 29526\n20214 40683\n563 24821\n6749 23071\n31335 44240\n1390 7978\n4416 11803\n4838 42986\n27533 35781\n23821 38696\n2540 21556\n8265 24316\n25908 32549\n14735 27236\n15214 19938\n5145 48629\n10776 39318\n25214 33507\n24636 45087\n39038 40294\n6861 38463\n2883 31442\n26807 48288\n6680 16512\n1941 31267\n15143 44378\n7211 18175\n30729 43057\n48430 48490\n26118 37961\n9752 46376\n43963 44598\n18688 34667\n20985 24024\n17656 39455\n18704 33671\n26392 30688\n6427 40216\n11201 37298\n3819 47513\n31500 38523\n32470 44471\n13378 36244\n27697 35696\n8211 48215\n25861 26794\n4938 16439\n19299 19827\n1591 42417\n17578 47016\n9816 10245\n8744 30836\n957 9527\n18645 39013\n129 31633\n9477 44199\n9540 28700\n15193 18962\n13026 43805\n13971 18588\n46721 48398\n5864 11657\n24326 24492\n43278 45258\n1732 19119\n5873 42759\n23953 34430\n35960 43290\n33195 43552\n17923 32520\n41955 46516\n4852 39093\n9697 26737\n11804 25608\n5121 20267\n26495 40484\n31621 34460\n782 4241\n5671 16953\n7566 7630\n22810 48192\n42229 47993\n15051 44970\n10901 27339\n6043 46346\n7779 39595\n6641 17329\n13745 27825\n35673 41959\n4648 21400\n3112 39305\n35936 43386\n18541 31910\n20970 36562\n18773 27840\n13608 22932\n2673 16836\n34304 39230\n21717 22179\n13533 13707\n18113 24700\n16606 27354\n3524 42100\n38335 46957\n27611 29194\n30166 46025\n14943 40905\n16002 25817\n35779 44851\n6875 15747\n16629 42253\n856 31490\n12949 45271\n2546 2565\n13423 38147\n25574 37877\n36964 37526\n22841 30576\n20289 21967\n5697 43090\n1634 23760\n28429 46261\n43726 48178\n18588 22891\n42624 45061\n3365 38543\n32332 39445\n33174 35331\n5058 25163\n8715 23278\n13739 25728\n16534 32335\n41688 42601\n2074 37020\n15304 40433\n20348 44620\n31455 33650\n2733 33354\n11668 43183\n3283 24010\n8436 43398\n42637 47187\n4780 45766\n12058 15223\n40477 45372\n3929 36657\n16114 38193\n18173 38015\n5157 43815\n21806 25666\n19735 20084\n14834 34586\n2067 30564\n8651 12614\n18144 21220\n8172 10208\n26941 31073\n19432 24544\n2908 37521\n23976 36942\n30257 33020\n4681 31102\n13136 24980\n35404 46325\n16696 27511\n33650 48187\n33989 37389\n17908 43773\n19960 23773\n11313 34502\n1895 43885\n1233 1531\n23906 45727\n1741 23787\n11685 19511\n4267 32660\n5341 10378\n1313 40941\n9776 28063\n36865 43221\n14576 45265\n47413 47567\n4556 42985\n19641 22290\n20545 20909\n35352 38672\n11298 26680\n28717 29565\n941 41001\n22111 46279\n38563 42005\n38126 40990\n9020 15593\n6491 29498\n1741 37600\n22586 42660\n12269 18517\n14417 39303\n2155 35588\n26882 32271\n6443 44486\n22761 28253\n20620 22847\n2418 19550\n16854 28209\n14659 46082\n6848 38139\n5940 21176\n17775 19280\n12936 34923\n36035 41393\n19498 23616\n5950 24359\n5864 12804\n4458 29159\n15383 38310\n4337 7147\n23107 27909\n45242 47358\n11129 25772\n12350 35430\n12405 44902\n2819 22237\n9146 29263\n14902 15736\n25740 28787\n38542 39229\n15683 38361\n22101 25084\n16975 47098\n28703 30056\n23766 42844\n9951 14192\n23105 46545\n19421 38917\n19448 38027\n9791 22280\n8869 12546\n22102 25695\n3121 8027\n15650 29150\n22976 26298\n2811 6918\n11684 18458\n24888 44100\n17002 44769\n1300 9581\n16054 35184\n30234 31745\n13427 36750\n11608 33583\n10694 32926\n13356 46802\n13537 32250\n44308 48346\n7263 15474\n13233 17722\n14290 25187\n25352 46161\n23461 31403\n34924 46359\n224 31429\n1367 37624\n20087 33812\n32176 41319\n19891 37234\n16242 26101\n23691 45261\n13935 14016\n33912 43199\n1713 36120\n25736 35717\n4041 32259\n30685 48615\n17280 28522\n4713 47299\n1331 47089\n233 3179\n25699 25895\n25714 30209\n21748 25683\n9037 21540\n33306 37530\n4194 25322\n27307 29514\n44971 45352\n32725 44097\n8291 37952\n10038 45083\n9358 48425\n11104 35757\n3521 21940\n4784 22690\n25504 30470\n45383 47619\n22678 27266\n32888 45302\n9663 12932\n15008 16373\n15238 48438\n43803 46751\n29408 33517\n18287 31017\n18143 29655\n17498 36213\n7197 37619\n7974 41737\n33807 44753\n13487 30493\n1541 20432\n17488 18340\n26920 33509\n2850 39228\n26723 34070\n14127 41696\n5670 23145\n14047 44617\n28326 46022\n13948 36231\n4107 4767\n10142 34534\n10867 37913\n712 44515\n32360 41534\n13014 32684\n22922 24053\n21837 29402\n13597 23008\n11773 39835\n3960 4918\n46774 47507\n1104 11519\n20231 45899\n9462 46736\n33241 48455\n8765 23432\n10461 18345\n8438 14932\n3356 17625\n18769 42485\n11595 12633\n23548 41072\n38766 42374\n8684 35896\n32679 40931\n38085 41811\n15550 18427\n19482 34519\n7927 47700\n23016 44141\n37013 48303\n5111 11173\n20410 41060\n28117 44178\n21959 32241\n16364 30967\n2451 23059\n40728 47136\n2670 31178\n4214 39426\n3148 7114\n2638 7549\n16515 36936\n2839 6366\n35952 47593\n21878 35778\n18890 36349\n8200 35566\n4501 29931\n34874 40746\n39656 43409\n28278 47364\n15963 23010\n4724 10116\n13750 33428\n3755 7129\n7437 48234\n1522 15899\n11341 13223\n5587 25496\n28847 38344\n1478 43363\n7264 32569\n26485 27207\n19608 30719\n19675 20796\n6479 27079\n18073 34378\n84 1230\n26479 36004\n3284 48546\n27936 34650\n7759 36817\n24495 26726\n14860 41613\n7709 43343\n8866 9016\n3295 14523\n12340 43957\n36875 44300\n7581 44967\n24664 38546\n17633 29964\n27449 31819\n17552 39928\n14095 25759\n20373 42768\n9812 31816\n38487 41381\n22843 23449\n24685 48287\n19149 44001\n13493 38808\n5723 21802\n37070 43850\n23493 48017\n9779 18900\n22959 46117\n8324 22949\n38410 48296\n2249 18139\n3417 41946\n9010 43301\n18484 38901\n4312 21183\n18326 43993\n11266 20298\n31171 44889\n23266 41128\n6671 32465\n34027 42683\n27791 30133\n16395 35654\n10666 36671\n31045 36356\n465 13042\n8795 48515\n3193 40705\n40033 48074\n9515 25287\n11899 15586\n28815 47953\n15136 32498\n21338 38584\n8690 17707\n12307 30695\n27699 48076\n6057 15410\n1432 45128\n4301 4630\n39966 44872\n15720 37456\n9707 39549\n35907 35924\n14005 15533\n12164 46103\n22470 22723\n28489 37218\n8546 33978\n39269 40000\n30917 45425\n13228 47193\n14397 22977\n45557 48543\n6007 15486\n15332 34993\n19470 21197\n19616 21899\n920 21939\n5655 45001\n1379 28365\n17578 32742\n6579 11404\n2535 6516\n1485 24942\n30165 32471\n6297 36191\n8032 15670\n3194 44237\n4259 43740\n8954 44176\n2413 45077\n3364 29879\n32900 47379\n27229 28538\n27940 44512\n5835 8831\n37375 41396\n19536 21840\n3092 30588\n17670 17932\n2338 45268\n10836 32630\n35524 38618\n18508 44769\n2524 15148\n6924 37227\n14153 34319\n33259 35045\n31254 34215\n29126 40284\n10956 28787\n9269 31931\n33298 35694\n26397 36300\n1069 14568\n9691 38555\n8857 15254\n31345 38958\n5934 8357\n11045 11602\n44151 46219\n11100 37931\n36145 47121\n9350 45343\n9410 32894\n18095 25129\n16771 18653\n20479 24509\n5220 7197\n14110 39361\n1198 18345\n4400 14073\n28775 46342\n15753 20454\n18662 19841\n18606 43212\n7948 18731\n18645 48248\n19002 29642\n17313 35733\n679 47287\n25820 36372\n19337 23181\n7373 45765\n40823 41949\n30464 42692\n12422 36186\n29723 33169\n1262 9696\n738 37236\n35451 38858\n21604 48187\n9238 44128\n19669 38755\n12363 33366\n6859 19624\n2311 36525\n18932 20868\n11306 11380\n29282 40975\n3458 23148\n38549 39416\n6908 46412\n21804 45131\n13338 26841\n24877 39357\n4020 43950\n13417 31290\n12699 23314\n24627 46797\n5524 47630\n29794 45524\n2980 24540\n23807 29007\n185 13144\n7462 43692\n44990 47437\n21626 41040\n1187 12356\n34470 43498\n2635 40033\n9909 23503\n10224 28449\n18404 19379\n5741 22863\n11501 16937\n9368 13245\n6462 43988\n9182 28577\n29353 42636\n24129 37531\n5913 19533\n28260 43295\n11279 38738\n9698 25517\n6836 45063\n25905 46497\n29008 37885\n30968 48258\n4081 14056\n15836 38627\n18302 34479\n35578 44732\n16443 27632\n7607 16784\n12963 34415\n8470 35937\n193 48014\n13251 14658\n18044 26773\n3120 20343\n10944 12715\n20371 38314\n34631 46396\n13967 21145\n33325 44430\n27043 29864\n14331 44432\n5350 39608\n3003 48496\n14543 30708\n10095 48657\n4341 46532\n34230 38706\n38882 42928\n39250 46845\n1634 30201\n14725 25836\n4804 8928\n42942 44904\n4 22783\n13016 23049\n27869 32684\n10506 25098\n26833 32771\n27598 37474\n20371 48488\n22663 30043\n23540 41556\n8117 29699\n38754 44585\n29582 38382\n5451 25180\n34781 41350\n12884 44521\n32979 46138\n4071 14404\n1786 34581\n12246 44881\n40914 41482\n15860 33169\n12078 46811\n15489 43293\n20377 43229\n6465 36358\n37776 41297\n17645 36811\n36982 42343\n29039 44915\n16085 38386\n5984 23106\n1140 38860\n40282 48081\n14195 47739\n23405 43868\n37433 47649\n2497 22679\n19182 33636\n11798 31258\n30732 39587\n30377 44379\n12776 40896\n2288 26188\n2525 44674\n1550 2522\n29433 46131\n7180 22510\n26085 30707\n1286 45100\n16621 33130\n17868 26186\n12013 29563\n4833 23334\n34173 41178\n38974 46718\n27867 38083\n30390 34583\n296 5190\n13769 25817\n1092 14629\n23668 23748\n30508 37555\n3529 33344\n18531 30248\n10398 26050\n2537 2571\n18313 46289\n20639 37482\n35808 38497\n21888 43420\n39103 40699\n10349 26162\n15861 20160\n6176 25028\n27839 46114\n29949 37565\n10764 38927\n22522 23251\n1373 47755\n11001 11358\n39020 40791\n8472 33716\n24313 44211\n4792 37942\n45625 46873\n32556 34082\n34933 43799\n48082 48378\n4405 35784\n4711 10693\n4972 19137\n34257 38149\n1786 30262\n11000 43549\n28055 44027\n4933 14971\n22259 32107\n24647 28363\n4809 41545\n138 17388\n14152 32480\n14942 47476\n22197 47082\n20867 47497\n26465 46047\n11904 27002\n27486 38787\n6822 19949\n10457 28581\n22488 29582\n7402 22454\n13378 15018\n23419 38523\n4818 34722\n5192 6115\n17318 20908\n29880 44369\n1010 17535\n45636 48022\n3754 30684\n33643 39386\n18592 33403\n7768 40452\n19520 37558\n4220 19950\n23028 42238\n7957 31905\n29578 30512\n27733 31979\n19615 22589\n3695 27275\n9069 25336\n38187 47515\n10552 15327\n12352 13601\n23862 45034\n347 33813\n40235 44144\n7858 20568\n4870 34362\n15276 31398\n17387 17550\n11972 20295\n9521 35615\n4119 36914\n31798 37445\n30686 30788\n8711 17032\n2683 36403\n17279 33549\n16827 26483\n2767 32672\n24208 32430\n1423 35259\n29149 35740\n1110 11580\n7274 18426\n10030 30295\n8967 39280\n46329 47191\n19181 47166\n10185 44415\n19218 25677\n16101 26659\n19093 21747\n902 35949\n6092 39851\n20679 23588\n35308 38885\n27868 43242\n28679 33263\n6552 32402\n23578 36563\n35435 36035\n24632 35377\n23133 44631\n6558 17061\n16311 47169\n11211 44098\n24752 35156\n6923 15838\n18409 29387\n16549 40887\n18467 26357\n10672 18615\n23040 32609\n26352 27724\n1025 27297\n17552 23836\n3569 36938\n26982 45026\n22868 32564\n24264 31077\n2016 37459\n12897 46175\n20616 34738\n10207 24129\n34273 35124\n5919 22367\n3972 33337\n6676 41069\n9158 39452\n41444 46510\n6117 6786\n35647 38395\n2499 43939\n18850 46401\n19360 43862\n18051 26000\n33521 41245\n22938 34481\n26350 43423\n1085 23190\n15320 42121\n30162 30795\n7778 27878\n13119 45062\n4057 38716\n10014 40328\n19769 33898\n19217 30495\n16422 33007\n29752 45820\n34816 38154\n6457 15114\n36270 45305\n23926 48186\n8972 22131\n5037 37674\n7763 32377\n10061 23277\n8184 18448\n42403 43601\n39298 40125\n13948 18402\n7675 27871\n19111 21889\n7855 40609\n6689 29704\n27364 45657\n9328 41024\n1252 43020\n8684 17914\n32131 39998\n153 16545\n20190 40949\n29435 33262\n8025 15363\n12363 30000\n15330 22813\n8801 40530\n10007 37579\n3368 8697\n16863 17278\n29813 30606\n36114 47677\n3701 33958\n34409 44805\n2360 15209\n15926 44971\n6463 36738\n6024 28147\n14622 14806\n7556 26161\n18260 36406\n17101 26033\n13574 46134\n9115 23964\n14284 47347\n27315 43378\n14935 30951\n3724 33508\n39006 43880\n4282 22402\n23746 46293\n10983 33799\n18839 32403\n27044 41656\n9713 36490\n5855 42241\n30 21938\n34180 48587\n40788 40948\n1071 32725\n14275 21836\n1879 34229\n1324 20720\n24836 41026\n33242 41979\n40758 48397\n24946 29344\n8517 38710\n41180 46595\n10220 26791\n5656 19235\n14205 41022\n12191 40289\n13709 44565\n264 38777\n30618 39679\n11956 33510\n4067 34370\n19661 36665\n9363 18244\n17323 33424\n19453 35171\n4883 36527\n17532 45834\n29120 40251\n2791 7405\n10189 15656\n2003 30397\n9042 39251\n11224 28953\n21684 42591\n33814 41034\n8114 44726\n4591 6949\n10101 38805\n2592 31464\n13743 17888\n33608 44001\n2032 17320\n34216 45310\n17812 45198\n5589 41646\n22561 34900\n6954 8296\n3022 26944\n3763 20493\n26595 38293\n25274 26405\n2028 16034\n35802 47191\n30389 30520\n24836 28892\n33181 44199\n33518 44844\n1144 37118\n1496 1664\n2929 9405\n24165 43106\n11240 19772\n8346 17264\n8789 45231\n6251 29988\n33635 44211\n4703 44135\n33996 37129\n18853 32923\n11381 46019\n36166 43984\n30512 34973\n10346 48433\n19373 43611\n32525 47345\n9859 41555\n38231 45490\n23267 30077\n15993 45350\n5304 44402\n13783 33376\n2319 31236\n2264 11784\n20440 38017\n6944 27469\n41568 41826\n8828 21484\n6881 16130\n10113 45580\n35009 40081\n34963 40583\n28936 30157\n8586 41246\n2772 23409\n28332 44322\n25400 40261\n38515 41873\n46228 46552\n4421 33327\n19172 28620\n26996 41626\n31749 48012\n1817 3212\n38201 42337\n38163 40237\n31171 33396\n30264 44198\n2170 47399\n12481 39667\n9097 27131\n20932 25408\n25741 26415\n39392 43001\n2312 43092\n24863 44488\n11689 21896\n18019 32352\n18561 36847\n6788 16220\n11019 20873\n26874 48353\n36037 44290\n42281 48669\n31221 36041\n28612 29732\n15483 45185\n35010 38899\n9044 43473\n16918 43814\n44538 46560\n40201 42747\n20596 34547\n14141 41080\n187 23434\n35209 39859\n1252 38246\n17349 32667\n40369 43285\n6931 26511\n27281 40485\n6307 28928\n15190 19860\n6089 16633\n804 3519\n19894 33392\n5335 32857\n8312 39877\n1971 43410\n4723 35417\n26621 47732\n16336 33579\n35460 43548\n9116 18593\n6396 32982\n39103 46080\n27445 29943\n3588 17859\n8834 47597\n7182 34106\n24830 32245\n4709 30244\n6333 19852\n38015 47710\n9075 42795\n38045 39972\n17308 21584\n20840 46380\n35033 46100\n976 36526\n17890 19322\n29713 30849\n970 1210\n14854 32619\n6123 26367\n43515 46153\n1062 42032\n19520 32719\n24178 40041\n24956 39316\n16598 21929\n587 8812\n24584 32104\n10470 17734\n15270 44430\n3003 12525\n3614 23686\n11792 46741\n14264 47398\n5247 43019\n5510 35268\n29262 38535\n15737 41166\n10330 14029\n4171 6588\n8738 20123\n9589 45098\n33812 37065\n26318 48130\n2519 41367\n1641 9793\n3271 46475\n21216 28691\n19360 23191\n9432 32010\n5015 33391\n18693 35938\n3289 33561\n31673 40874\n27997 48037\n22777 42060\n11568 17317\n7440 27446\n10030 13613\n2808 44519\n14496 38090\n1989 41663\n26080 42326\n20605 26549\n2859 10914\n18685 43723\n22346 46859\n2862 13251\n3818 19807\n16423 33082\n12063 18185\n32250 40756\n7160 46432\n678 20722\n14030 21895\n10915 29482\n4563 12496\n26910 37680\n17022 24804\n32530 48191\n14353 40626\n1166 32021\n16129 26349\n4804 6500\n19076 19258\n9166 43744\n26312 26386\n12668 28189\n18428 33422\n16055 34175\n380 38438\n6716 28671\n15717 28962\n18480 35178\n22145 37262\n43974 46146\n21088 44002\n6320 31324\n17278 45752\n22390 44437\n23015 32366\n40304 41217\n13345 19350\n32415 47717\n24091 36983\n12692 40791\n2856 46742\n10618 37934\n14683 17432\n13963 46641\n3073 20542\n3372 39454\n20533 25717\n3917 6279\n28955 41931\n46674 48374\n6146 31184\n7732 10807\n18794 34132\n9748 33013\n13608 28389\n10827 39958\n19042 33497\n6171 17472\n21526 32520\n14310 30002\n23436 38687\n21861 26577\n30757 42743\n7318 29412\n4525 8459\n11615 43163\n14530 45325\n6083 8772\n16960 30864\n6752 32354\n3914 39960\n3384 39297\n7491 7672\n24173 41082\n12822 47799\n35627 37947\n15320 16551\n6961 47002\n5960 37657\n2480 38492\n30430 33547\n21679 24740\n31632 46804\n35425 38888\n2613 6478\n30391 31116\n4471 42565\n18889 37371\n4611 4666\n8710 17397\n18024 47433\n5141 21982\n4818 32676\n27283 27709\n10272 10875\n18506 37245\n25082 43680\n13956 26150\n16655 21830\n9533 17905\n32819 46011\n10607 17201\n35430 43297\n32267 39309\n3267 30516\n32521 43975\n20704 23279\n3638 28836\n3434 24847\n6162 27439\n9854 28801\n20730 24141\n14302 44333\n5680 23189\n2963 40667\n18153 22082\n39726 45083\n11959 28438\n4647 32572\n30190 44177\n20196 31115\n14169 18194\n18567 28770\n12815 32279\n21404 31937\n34034 39184\n2792 43389\n7667 16362\n4174 20956\n3843 34528\n8703 42779\n3009 29332\n28876 34885\n34964 48049\n5609 36932\n38367 45230\n7653 44453\n14885 41069\n4629 40016\n5396 16602\n9652 35077\n1615 9447\n30175 40424\n9369 23694\n17442 31687\n286 2631\n30975 36519\n18299 46930\n21160 41412\n22737 36885\n5778 14227\n18084 22205\n38741 41192\n490 38208\n8050 9597\n12570 42177\n34269 41818\n34500 36403\n6008 31358\n21494 25153\n9428 25359\n31877 34100\n19562 41861\n17702 36940\n20296 35007\n1377 7831\n18981 46430\n12569 44843\n11821 13633\n4940 15957\n35035 38669\n18632 47747\n36921 41372\n849 28759\n28789 32881\n22493 28681\n8494 39584\n2120 11134\n4590 22614\n25521 34890\n11064 13614\n6328 40047\n16790 30887\n1130 12489\n10411 35350\n16924 35008\n3463 24079\n22855 23558\n18121 29624\n2675 34694\n289 1460\n4189 47969\n9463 43764\n1902 12901\n21345 38932\n13033 20011\n562 44180\n43829 47084\n29463 46686\n31143 31635\n521 14840\n591 41809\n11403 34699\n618 39424\n23983 40057\n18381 36247\n24584 45150\n6169 37271\n25415 33429\n4143 37662\n12658 43903\n1419 7088\n23854 31778\n22185 48483\n5851 36338\n14635 47189\n23251 23435\n41441 46672\n31869 35798\n40292 47381\n3476 45672\n4621 29050\n13366 44066\n22405 23207\n9340 29040\n4522 39044\n20537 21491\n31288 37193\n3384 6526\n12645 20582\n29888 32311\n13888 23185\n14535 36303\n8180 9539\n20645 36648\n5418 39361\n20335 39061\n16431 39837\n35380 42538\n21422 26353\n31396 45525\n10556 46232\n8229 47284\n21675 46702\n56 2241\n6951 22274\n8860 45886\n16452 22305\n12868 33928\n30657 31054\n27181 42805\n29729 41407\n31258 32800\n8065 32172\n39874 40724\n36323 45087\n27840 34023\n5915 27173\n5340 46365\n11980 22491\n24121 42443\n34557 37429\n13153 14793\n20663 45918\n11569 15378\n17445 47520\n41654 47676\n16875 25212\n20031 47810\n13502 27140\n21371 45341\n44156 45848\n23585 32751\n6174 48096\n28870 41412\n1123 33584\n10126 17263\n10383 21049\n14445 42059\n2026 39386\n748 31612\n7990 9965\n30977 36078\n2835 31354\n5225 46514\n3975 4512\n259 23561\n27 34703\n23740 26935\n23087 42152\n12482 13990\n5978 39000\n439 14447\n25556 46258\n34664 44337\n16954 41792\n14801 28729\n6143 46825\n28098 48528\n16168 27727\n6890 44093\n36042 43869\n6085 9612\n3403 44107\n25210 35210\n11816 12139\n5671 20217\n43540 47073\n21285 28038\n6480 12002\n1011 30976\n16551 19772\n13064 13544\n4262 5263\n454 46137\n9885 43578\n28476 41060\n35418 40621\n9962 46673\n24153 46867\n7126 32855\n4753 15899\n21391 31646\n11999 28472\n3644 27947\n11442 43572\n32845 43778\n22284 38549\n25520 28432\n36316 43012\n17927 36658\n32778 37543\n1022 25820\n2735 39171\n27214 33524\n1769 44582\n37651 42172\n12644 14118\n40849 41278\n18915 35001\n16179 21490\n6860 48440\n34555 46654\n20207 23055\n6683 23404\n2530 26849\n34948 36838\n10851 11469\n13220 40116\n6005 29361\n19316 32671\n16940 31394\n20041 41660\n8833 9979\n2650 30550\n14073 24861\n4201 5226\n13926 27326\n11396 45130\n17125 21505\n9988 17805\n860 31714\n25768 47570\n8881 24447\n42781 46036\n11748 23973\n37541 47744\n13485 17332\n28910 44094\n27336 38320\n30376 37029\n9683 22565\n14566 33527\n20030 40595\n11262 44869\n22577 29797\n5106 31915\n3820 9666\n27459 48055\n22818 27818\n12702 36158\n27157 40288\n24086 33347\n14352 16792\n7406 46772\n16524 33887\n23819 42202\n37495 39020\n7654 45180\n33303 39186\n19034 20685\n28139 45023\n4957 26390\n7410 45143\n11077 30446\n3348 11591\n22166 38045\n11695 19298\n4145 44362\n17667 27821\n14852 45666\n19527 40387\n16369 39541\n8917 21061\n12286 35581\n19667 32438\n22715 26787\n37334 42017\n8977 46669\n27674 33478\n13812 24640\n9883 39602\n10744 27020\n2402 38243\n13012 36329\n12816 25399\n16196 16760\n7187 41302\n5113 41943\n20455 45844\n8947 23180\n3000 19332\n18827 47081\n9045 43582\n3116 26523\n31114 34567\n67 7525\n20093 34854\n38410 39623\n3053 5063\n15080 22685\n18896 23342\n21874 41480\n15942 26618\n18340 29643\n14924 18014\n21997 26196\n17681 22173\n8715 24504\n4303 37661\n39819 46438\n21036 28589\n3475 17489\n32673 33133\n14773 23605\n17522 42205\n25729 41812\n5963 41588\n25349 46450\n7509 9584\n23341 24589\n45271 47237\n16122 29955\n44308 47789\n9974 37003\n42087 45743\n8151 22663\n1944 3303\n19439 40035\n11804 27923\n7694 23357\n20945 26361\n35200 35520\n25022 38061\n30122 34096\n14766 42209\n31881 42540\n24509 25413\n5283 13809\n11025 28260\n3583 47877\n12902 45539\n9009 20142\n622 33644\n8231 17086\n15143 35573\n1097 9827\n3214 43790\n24505 34174\n3249 31096\n9207 24929\n14557 24203\n32800 42592\n13382 27785\n4281 44243\n22324 25574\n5286 21908\n19140 42190\n7011 29963\n6091 39606\n34148 42720\n14379 16367\n20596 31001\n20136 39246\n30505 30862\n4745 32635\n39144 47426\n8554 38211\n454 36190\n1774 35318\n4313 6911\n8465 48604\n11612 18748\n20960 30345\n28215 30822\n21721 33233\n6462 26762\n13110 22039\n14495 20979\n21276 25515\n10585 14576\n607 32056\n10330 35993\n30615 43774\n18412 35113\n2688 35584\n788 33197\n2121 4867\n9189 11848\n16224 26229\n22981 30990\n8693 22785\n15922 44965\n2193 36063\n42610 46140\n8900 36229\n32341 37230\n9404 47592\n3677 26992\n7151 17693\n40285 43608\n15588 27435\n17014 37233\n10311 17058\n17043 43302\n22113 30278\n484 35722\n2893 14839\n4330 19679\n2918 47920\n3614 31315\n38665 39868\n8270 30358\n28218 29362\n15928 31819\n5895 11415\n1357 46277\n6162 47766\n16917 18414\n2582 42986\n30513 33513\n20553 38901\n32032 35535\n17633 41770\n17799 42608\n18705 43145\n31562 42655\n2410 36672\n7993 36286\n587 15861\n5573 8562\n29733 42318\n1165 13181\n20368 48199\n9288 28492\n30733 35344\n31675 43502\n42768 46294\n193 27068\n1431 12823\n19087 32211\n18143 20796\n28129 32943\n16934 43738\n18977 29696\n16499 45636\n32431 46173\n9517 23313\n27363 48588\n21426 39134\n16223 18561\n40767 41911\n1524 4342\n11727 18559\n24300 24750\n25336 38546\n24387 42806\n12516 42870\n8830 17451\n1506 41708\n3906 38647\n18074 27713\n29320 42435\n15487 28405\n19313 28957\n16273 47646\n25221 46040\n11498 23683\n8732 45388\n27856 31425\n8416 9138\n29461 29865\n24660 25392\n37906 45263\n35915 37780\n8462 22220\n1964 16229\n17274 28019\n24179 27863\n24004 40926\n20241 31564\n14419 47341\n26539 31302\n11686 19892\n4989 36545\n3987 21943\n8304 39225\n425 11657\n9992 29304\n16838 40292\n24156 28612\n8084 18313\n9676 40008\n38296 44213\n21540 23780\n1996 37802\n2852 32798\n25878 31949\n8878 39799\n16712 48366\n18382 37295\n43653 45622\n1566 33738\n22864 27042\n8269 12410\n14356 47387\n11131 18932\n7706 44720\n22204 30905\n8273 37874\n22279 37599\n557 4687\n6299 12272\n2060 15422\n37693 39116\n20245 31943\n28863 37516\n9489 15068\n32550 48081\n3504 39267\n10642 36182\n9940 46393\n18612 27112\n23244 40580\n10083 39410\n17891 37236\n20303 29862\n10280 19561\n14449 42013\n24154 31169\n10790 15206\n9206 22617\n16027 33426\n575 38237\n11244 47094\n1759 38878\n26076 46783\n4819 39923\n29683 37324\n26535 31551\n31168 45020\n34425 41663\n8889 45377\n21304 47559\n9693 44071\n24753 26299\n2402 32454\n13363 14822\n5996 14155\n8894 38882\n20109 30256\n22890 34564\n10199 29699\n34475 34959\n18752 48371\n30145 30875\n17070 38383\n15313 30795\n15996 39612\n4241 9435\n2737 3161\n3184 47380\n10492 32578\n4717 9695\n25764 31420\n5470 35297\n8096 34352\n15241 45874\n13579 46604\n7604 47228\n12372 26114\n20734 45172\n14746 26913\n35550 38305\n32552 47841\n2834 34962\n14545 25949\n19610 40591\n5666 20408\n3195 5890\n16324 32136\n20909 24587\n35688 45169\n6682 11614\n23812 28592\n21373 30303\n40744 47953\n37394 46727\n19136 34578\n26923 42152\n40617 41994\n17108 26001\n26360 47453\n33827 36088\n16243 27012\n38804 46054\n25505 34196\n14745 25599\n38426 39876\n42910 46951\n29657 38814\n3932 43947\n2649 30303\n22414 31022\n16724 33238\n12070 32222\n16302 34198\n13194 28200\n45176 47809\n12579 26442\n9667 43967\n33940 38644\n3002 8467\n25312 25324\n13726 42858\n42795 44958\n28100 29253\n3215 18057\n10179 20282\n10233 24433\n15532 20122\n35957 48509\n14276 43611\n4333 40671\n18122 35255\n28004 28680\n491 12140\n12160 43116\n1680 40505\n20636 22954\n19358 33037\n22875 25224\n5917 48572\n33242 38829\n9549 12448\n8982 37579\n4333 7774\n32236 37737\n14852 42141\n29827 36294\n33471 36580\n11875 19293\n1482 6424\n18822 38751\n19377 46662\n29929 44654\n28217 45386\n34816 44576\n15925 34484\n5754 45250\n27019 39641\n187 42969\n13264 13858\n3585 23900\n13021 20443\n4720 7834\n3115 13573\n2099 41095\n37944 39971\n11852 15466\n4644 42407\n23413 24042\n7927 42614\n31631 44320\n23585 44709\n1928 38859\n9650 34111\n19379 27997\n29988 46721\n4820 12176\n9981 33867\n25088 27568\n33102 36200\n5367 15923\n1831 41740\n8415 44040\n16101 30709\n20688 32543\n28751 48619\n5212 22163\n30167 31063\n7111 12189\n18555 33014\n12540 43805\n24472 46848\n26137 27736\n29338 29828\n10604 35095\n1316 5325\n5869 29062\n17172 40225\n616 6344\n4499 11818\n15658 18342\n17067 48309\n21682 32457\n10538 28548\n2759 44783\n20135 23048\n22567 37390\n6279 8773\n36580 47831\n28627 30895\n28249 38470\n21220 27342\n18904 24237\n23981 28402\n11501 35730\n12599 26161\n7887 15776\n38712 42745\n33716 39080\n17320 18427\n10839 19364\n25377 36540\n10242 46179\n30746 34516\n15553 44989\n16911 22097\n18016 44540\n43572 44878\n17622 26759\n11258 21683\n17046 28349\n887 16434\n26363 29156\n12720 43691\n17797 30599\n5387 7496\n2510 41558\n31674 41450\n27020 35126\n33022 38395\n10850 30480\n1477 45303\n27409 35563\n5548 24305\n42166 45500\n463 33333\n22427 41025\n16225 39426\n5945 28890\n28779 42673\n20830 48288\n25220 31487\n3116 8223\n5166 44942\n17634 41041\n18047 36194\n3776 34791\n10416 46952\n12799 40974\n41493 47365\n17746 36707\n6595 32316\n17675 45204\n1531 13915\n15046 45177\n12475 38630\n16533 28577\n18586 30383\n18716 29464\n28626 42806\n16693 40971\n5528 34896\n38259 40541\n6 37506\n13683 19566\n19075 30189\n25310 42613\n22787 29229\n10973 48468\n6445 44279\n24810 33657\n25849 47903\n2413 26505\n6355 46453\n12463 39454\n18534 44299\n8 11329\n13934 36832\n3478 16927\n9972 27523\n9603 18164\n117 43877\n748 5509\n18755 44538\n13316 23726\n11855 46184\n1571 34684\n38050 46403\n10666 31252\n27672 46277\n32865 35044\n10955 29534\n7192 47762\n3987 10100\n24986 29603\n16867 30155\n2756 3253\n32670 36021\n36186 36566\n12726 24103\n5945 19647\n3302 13918\n17899 22241\n18139 42709\n19990 46740\n30927 33180\n16986 33814\n343 30779\n19024 34903\n21539 21682\n13971 32106\n10076 38434\n34501 48026\n1597 12964\n21023 40002\n12870 40530\n15746 32334\n8251 28571\n6731 18195\n16323 36367\n37579 43807\n29316 35098\n39625 42251\n11988 35594\n9708 30705\n39564 45882\n2827 27841\n16324 43525\n13688 26678\n28702 37765\n34399 42952\n29710 47386\n21016 43311\n36369 36941\n39928 47098\n1142 40310\n21925 27319\n13328 18094\n20507 28966\n2725 5686\n4278 48667\n36760 46044\n15928 42636\n1506 38771\n8289 37781\n36430 45199\n15037 15514\n17326 44514\n7935 33279\n15040 23704\n45628 47362\n28490 34444\n23877 35988\n15062 40133\n29701 47204\n7383 19539\n12007 39303\n6595 36427\n3346 14266\n3873 15729\n22189 48132\n32266 40119\n2839 22571\n4750 24251\n12277 44916\n11515 48344\n43983 48542\n8567 47745\n37247 42751\n16092 40820\n41595 44771\n8989 23223\n30206 39895\n14409 30151\n14581 23347\n16864 45679\n31814 45470\n9285 37004\n5908 10067\n10903 48524\n45721 48469\n167 4642\n4328 46362\n3716 7220\n7996 37871\n9192 18087\n5082 15140\n947 21268\n23704 45298\n746 43501\n20766 47098\n28665 39205\n11694 45494\n42613 48143\n19972 22620\n3771 39309\n1296 20373\n3168 40701\n31864 38389\n13890 16586\n20407 37372\n22941 26026\n2606 28899\n38303 41644\n19904 48677\n15637 29959\n15155 41012\n5695 34090\n31145 38259\n14498 31428\n9495 16059\n35321 46956\n26698 35961\n2126 38659\n20344 30578\n18332 28070\n25555 30004\n5511 47552\n21156 41293\n3709 20780\n21441 38896\n1424 15492\n3037 23661\n27593 46689\n6780 14294\n30519 38557\n38471 38705\n75 12372\n5106 29216\n4440 24183\n2171 7487\n4978 13934\n20954 21038\n18992 32195\n14740 18626\n1605 16791\n7526 9026\n23455 41696\n15074 20736\n39043 46611\n38216 45939\n5867 47827\n20156 35298\n3195 10199\n17246 19553\n8921 28361\n13402 37021\n8467 11265\n2396 21759\n11364 18134\n33169 38890\n19302 46666\n23382 33938\n4877 28675\n22221 28952\n5921 19225\n8258 33434\n7950 35639\n26949 31094\n15445 43153\n34414 41501\n5256 45638\n18530 42711\n623 32698\n18445 32174\n33520 33842\n2045 4111\n23740 47825\n18355 45083\n20412 38976\n2013 21087\n18631 42994\n24223 37173\n16989 23162\n6841 44378\n10455 46362\n3324 9609\n9743 46888\n14708 20386\n6887 27489\n3857 12055\n23418 46573\n5059 27425\n8993 27268\n35160 40240\n20951 36168\n3010 6323\n21709 33263\n35300 45698\n29425 39598\n19968 25209\n31525 37638\n7971 45545\n1838 4439\n17984 45375\n19234 39349\n16206 34661\n60 176\n26654 42870\n5698 30523\n77 25514\n17936 42323\n34340 40727\n9906 47626\n28558 33757\n2680 20374\n28410 30920\n17874 28445\n3473 28909\n464 506\n1677 13466\n15362 16705\n4468 9518\n3549 4575\n2651 14490\n541 6662\n642 31488\n9238 16922\n3000 32058\n3389 18308\n33838 34155\n7799 8225\n30210 30996\n5607 6120\n3332 5306\n1887 3572\n24376 33368\n1614 19638\n20058 41089\n9466 43665\n6929 25476\n21928 24705\n12163 41131\n8018 45524\n9421 40575\n27568 31004\n4463 12474\n26229 40520\n17231 37629\n47154 47821\n38444 43014\n4225 25833\n16984 35847\n24771 36667\n596 10524\n3433 10119\n26686 30788\n27885 33083\n33054 39092\n24172 30749\n41818 46269\n6132 36782\n16711 24009\n16366 24939\n21664 46176\n13369 24171\n14404 20781\n10088 27574\n2407 12042\n32274 32337\n2269 42761\n5309 35279\n1968 47943\n14263 38466\n22388 41207\n33050 48270\n7431 17236\n19219 40578\n29125 44800\n10641 39785\n2697 18762\n2885 31153\n2316 18704\n34261 41455\n3980 12560\n1549 38045\n11186 41652\n37200 46398\n19901 27855\n6458 40095\n3990 7696\n15724 27374\n9121 32843\n14009 34383\n30087 43090\n34112 43404\n14014 34413\n2165 17175\n33582 39330\n7579 29384\n22173 37494\n35986 37595\n24165 42183\n1542 28065\n2602 37321\n18604 47788\n8155 33878\n20801 23853\n31547 42496\n21230 36723\n1107 48549\n10610 13484\n47229 48356\n530 4370\n23501 25863\n11123 29794\n29951 43193\n9681 48212\n28266 28737\n45597 47439\n8442 42852\n37993 39325\n23153 46222\n24374 28518\n3101 20068\n10661 22551\n3067 27478\n5676 14501\n25693 34380\n41901 45112\n20343 29393\n31948 36694\n16847 38911\n29477 43538\n36416 41834\n5341 12837\n27539 46367\n10202 13559\n1142 32908\n4111 10945\n38193 41687\n2154 27135\n7527 24863\n2759 10608\n46421 48200\n3622 25114\n25037 31072\n16045 41544\n4402 37721\n9731 40592\n19947 46375\n2989 6327\n2566 15400\n23973 30936\n16062 36698\n8404 9325\n5561 47418\n2412 24954\n398 37183\n34607 47109\n25288 41756\n40465 41571\n586 23175\n46021 46910\n18920 43685\n40032 40119\n36707 48573\n12076 30635\n14540 31851\n14057 44269\n2253 12138\n14551 45916\n34423 44625\n1504 6596\n31230 43759\n3321 28074\n6607 29650\n16549 48087\n5449 20784\n39400 46173\n11934 35076\n13299 13512\n16287 34545\n5602 14758\n15400 36381\n4055 24700\n28372 37691\n7893 29843\n415 1397\n21842 25071\n6684 23913\n19860 30684\n38015 41520\n2247 10296\n37294 37741\n16826 43899\n7524 13078\n2758 5035\n6148 6896\n11637 35575\n19022 30484\n32884 38534\n11296 47491\n9645 15823\n1451 31358\n556 9609\n14974 44650\n12145 44062\n3038 13031\n30910 33848\n14484 46916\n7888 11444\n12386 16272\n22710 43037\n23154 39522\n7691 26113\n12651 23534\n24351 39624\n21787 30002\n19 13961\n10911 40108\n5708 7989\n1409 23216\n16520 27238\n42085 47792\n186 28237\n1610 30396\n8538 12664\n24537 29685\n11944 30616\n33892 38705\n5181 12513\n35863 37982\n32930 46172\n10027 12203\n1428 28983\n24051 32328\n7667 28929\n44694 46227\n7499 12078\n13006 17640\n15137 48569\n32101 46126\n12368 14929\n39967 46204\n2134 21910\n9862 11683\n7103 47302\n2676 20246\n26521 46242\n35881 42802\n6491 19626\n18616 39334\n15009 42783\n27235 40954\n1376 7973\n19981 24631\n30942 42578\n21023 45256\n15301 20063\n16933 34081\n13842 24028\n13988 38901\n4469 13806\n9225 14217\n8710 37417\n32401 45536\n7672 34438\n7344 44199\n23518 45974\n5821 30739\n7052 25386\n10490 22241\n10682 36596\n603 43781\n23135 30203\n13354 26812\n2257 10959\n19647 39342\n33897 37954\n26703 37199\n31942 44766\n28503 42429\n17662 40825\n11396 47281\n297 34754\n20858 43113\n8639 22809\n23540 36367\n6660 34748\n10889 13873\n15865 31986\n16029 34708\n205 18969\n18881 36014\n27745 36032\n5872 19746\n31851 45215\n33379 47068\n8516 26647\n20006 40624\n1136 47028\n19303 40782\n42935 46557\n6943 40365\n28092 34390\n27381 43765\n11710 45746\n23165 37144\n3200 38746\n5346 39640\n637 10952\n38284 42342\n16508 45919\n14693 42951\n17837 36716\n5385 17116\n34592 38457\n11699 32515\n14650 47089\n12408 15205\n9826 33887\n32981 35887\n18045 21873\n2429 24340\n6862 11961\n12205 41150\n5311 12499\n472 12771\n19371 32008\n6200 10477\n17829 47764\n19348 21592\n387 661\n26931 43542\n39839 47167\n24986 40494\n5922 34604\n3930 12009\n15639 35807\n16753 33315\n41850 44631\n19696 36877\n11311 25190\n3474 48466\n10503 22730\n26948 47739\n2375 12248\n21090 23453\n18475 46468\n18925 46262\n3031 48157\n20767 41924\n6727 42706\n13317 32939\n24808 31438\n4950 47118\n21539 44665\n2025 38102\n11729 26407\n18246 27285\n25472 40313\n8462 33001\n20528 31373\n1947 19273\n34054 45447\n38369 45470\n20962 24757\n20169 36324\n18808 46896\n3822 7359\n25043 32977\n2561 16639\n3041 11365\n3776 30233\n481 18366\n16745 34319\n18883 24706\n17850 48532\n13581 30147\n1372 13418\n27077 31128\n35070 43692\n28208 38393\n322 41911\n11087 24722\n21116 42004\n19707 34203\n22218 40584\n1937 27675\n24967 39614\n34600 45140\n17664 36141\n6946 34173\n12398 34083\n18731 33156\n25078 44898\n28018 34057\n29872 29915\n1875 2881\n10860 30215\n3610 24680\n4295 20823\n17275 44157\n29391 34784\n14873 32516\n17914 36548\n15075 19631\n6979 35194\n16617 25372\n12247 33687\n34635 41896\n7349 34796\n98 24916\n450 22185\n41012 44067\n46764 46865\n10687 23955\n22263 41980\n33109 40416\n231 22992\n45313 48103\n16788 27746\n28386 35621\n2564 9689\n8216 8545\n3666 21320\n29215 45983\n7789 39098\n22878 39298\n14936 29533\n5972 13890\n19521 30069\n40926 44752\n31666 43604\n9816 47319\n1942 29410\n27359 27664\n3264 16741\n19261 20070\n4484 5365\n20869 25779\n37661 47834\n19111 27751\n19087 22444\n18951 45911\n1054 24131\n16647 33074\n9097 38763\n18834 23122\n4788 21491\n28906 43621\n3922 43359\n23421 31252\n20068 37620\n6115 29023\n6329 39225\n32496 35437\n3971 15127\n14311 16443\n5496 27910\n47172 47659\n20162 36494\n6000 14480\n968 40177\n33379 44966\n18604 46163\n16549 27926\n3700 21985\n13142 19338\n21316 31199\n29032 36826\n4948 26106\n29971 42205\n12120 27471\n14457 43898\n14076 15639\n21478 45864\n36903 38256\n10426 11675\n9320 34363\n2178 10514\n21278 38884\n6900 36768\n34958 42933\n14442 31824\n11377 28684\n24427 42297\n2793 42380\n1942 11416\n9410 21653\n22093 41354\n15463 24581\n5858 18179\n1409 20286\n3522 8591\n7374 47417\n12657 44724\n1597 8703\n11769 28578\n21896 38507\n6176 42751\n10831 11855\n748 29438\n6003 22309\n11949 29723\n21009 29111\n3975 48381\n2391 21533\n3529 21275\n15070 41080\n16925 45634\n9214 46873\n31672 33440\n38403 38511\n28646 47228\n25634 46505\n13804 46397\n14821 35541\n290 22508\n11194 41106\n14816 28399\n11607 37173\n18251 25083\n31265 32470\n5595 6360\n4896 10679\n16559 23553\n40072 47835\n11786 12699\n39315 44048\n2775 27293\n24791 30838\n17087 20435\n37465 46657\n2990 30242\n9323 17433\n12564 30387\n2899 5956\n11824 33024\n12828 23950\n12111 48585\n9681 33800\n7849 30540\n10353 35289\n15117 32169\n275 44286\n4815 25609\n12915 29807\n20842 26989\n858 30956\n6690 29110\n4185 17632\n36420 43907\n16026 45943\n41892 45418\n22506 40809\n32663 46780\n31508 46572\n19508 37676\n17953 22404\n31492 40355\n13042 29377\n2562 7329\n10675 29687\n36386 42515\n14932 16042\n25102 31102\n30619 45425\n3372 29523\n4910 45779\n7471 31610\n17136 48515\n5826 44236\n1439 36132\n23421 30610\n16949 25199\n11104 45633\n30908 41649\n17419 20199\n171 15468\n21268 29082\n26643 44336\n37046 48669\n35101 35931\n41407 47803\n11401 22803\n6962 22211\n6535 14825\n40133 43154\n22871 22924\n1584 4830\n2371 3072\n13799 45981\n19009 40028\n19040 30781\n18322 40661\n7824 31151\n11624 47908\n9606 27370\n15001 23450\n3988 41917\n24610 48283\n11703 39242\n32933 44253\n1765 32663\n2215 13693\n36401 39357\n1839 19963\n33418 38115\n11795 43664\n25900 30836\n13940 14953\n13592 19847\n31727 35337\n24426 37723\n13957 36231\n14329 24983\n23494 27695\n216 2007\n7260 14576\n11447 27857\n22445 23135\n12846 21525\n2020 21211\n4587 13648\n2795 9229\n2763 11718\n7926 16515\n10330 17310\n15183 19990\n520 43442\n5627 13507\n22702 45857\n17491 41740\n5114 23524\n8434 18513\n695 3043\n6414 44663\n1117 12380\n19676 35281\n22677 32539\n18270 25814\n28521 32699\n35765 38307\n910 13371\n6658 23369\n26281 33869\n2544 10070\n12949 29669\n850 31692\n41656 45513\n27241 41169\n34803 37231\n7426 35655\n15775 16811\n12169 28193\n40356 42124\n7322 48229\n20229 27355\n26886 27728\n7890 8199\n7459 42928\n27941 45343\n17360 48482\n16916 44944\n10884 39372\n2875 26329\n1753 7443\n30067 31493\n41694 46290\n16668 23116\n13909 16300\n16789 31334\n5656 7525\n25949 26927\n22039 46618\n35692 41874\n18542 31575\n27314 32311\n6883 29337\n17936 36465\n21558 48142\n6563 12156\n6562 13504\n552 42237\n254 1153\n24821 43349\n31122 38626\n6272 7601\n22933 24231\n28333 46958\n26720 39629\n1292 4118\n18224 24845\n1128 40523\n351 1985\n3616 15247\n38954 46293\n25423 32055\n37877 48397\n560 37945\n2353 3937\n3374 41654\n30890 47667\n34151 39415\n12833 32374\n24099 31032\n4927 36600\n17510 20363\n19421 22698\n8222 37620\n1982 39943\n34090 42540\n30119 36143\n27477 45201\n4525 27363\n6863 13471\n31760 42107\n14689 19216\n4777 29619\n11176 24863\n378 30785\n5560 32067\n17312 33018\n1826 44461\n24217 32957\n4242 32651\n37131 39289\n1395 18319\n3686 42295\n1469 24790\n6866 22347\n9483 33013\n18082 39080\n16640 45182\n42296 47756\n7185 30053\n13445 25729\n43072 44058\n1443 21092\n15695 19831\n27783 39226\n20908 33795\n647 7436\n9858 23034\n5470 19321\n5149 39945\n7495 44104\n9735 43017\n26303 39431\n5650 25332\n30756 35133\n24765 42029\n20273 33795\n313 23752\n21636 45759\n12032 28379\n11566 44549\n11578 28615\n5879 34548\n12415 48158\n3508 33834\n16390 44709\n37515 46113\n19109 33707\n13152 23615\n15398 25776\n8185 37287\n24094 47807\n15239 15421\n2475 41026\n18172 36685\n29635 44811\n4809 21534\n12165 34158\n5108 33006\n19954 45874\n21305 38932\n4460 35740\n36703 48218\n981 9935\n26676 32734\n2671 43634\n18050 40785\n10294 11817\n3173 14898\n14156 18089\n20596 35316\n1567 44773\n6935 13018\n796 18398\n460 30839\n8958 36646\n4808 20079\n2609 31455\n12196 33490\n22002 37514\n9594 47183\n15204 42960\n13651 13833\n3251 9628\n14590 15215\n7648 24812\n8043 10346\n30971 45698\n41659 47506\n15889 37575\n18308 24680\n27716 30107\n35963 44296\n3015 14809\n4681 47517\n36590 40062\n16746 23475\n29450 30725\n13771 36358\n4089 44253\n16657 17390\n30919 40587\n29806 30655\n5097 9317\n4199 23290\n44740 46708\n21397 46919\n22789 46948\n6630 34662\n29670 32729\n31939 33857\n42251 43692\n25086 40565\n22580 28418\n14284 43642\n15665 21426\n3391 42289\n14806 46877\n18055 30846\n21243 43264\n13540 44071\n346 19734\n3147 18339\n1608 43927\n3770 23884\n3272 7793\n42234 43615\n19572 29962\n9419 46175\n4216 36142\n31236 32171\n1126 43461\n666 15590\n26755 35427\n2222 3449\n6779 10665\n7468 33199\n28304 34498\n35757 45377\n8219 18925\n32852 36394\n18796 46254\n25944 29406\n27507 28020\n1281 18235\n21150 27495\n2264 47694\n14902 41859\n1348 43792\n3805 20310\n15374 18542\n20881 26150\n10927 16116\n33804 36265\n896 15462\n16002 43206\n43 39678\n6033 22167\n30409 45103\n24018 45718\n18825 23718\n41849 43681\n1546 32121\n30783 31342\n4147 8639\n2880 6302\n8664 10296\n4947 15974\n37850 42990\n3327 37919\n34162 36070\n34770 37108\n45674 47627\n19308 48479\n9376 16533\n929 10197\n14188 30657\n15670 36142\n23236 24587\n7147 44605\n41080 45152\n5075 26459\n39568 42948\n18738 26445\n15946 48146\n2179 9643\n21015 26553\n31264 47730\n24638 31632\n7840 41226\n9920 36593\n2563 39885\n8709 15636\n10562 47344\n19694 26264\n14136 41207\n10104 19982\n39065 48343\n44718 48596\n35201 45918\n36378 47298\n21032 32274\n7353 17162\n21501 39680\n43438 47639\n12252 45511\n23046 33803\n43182 43189\n38328 41280\n25825 26657\n16846 45671\n14696 31149\n18306 28772\n20896 34871\n8344 35192\n877 31780\n3118 48368\n4153 42776\n65 24351\n5312 35031\n3209 4005\n5066 42348\n253 35279\n152 19333\n19999 35628\n16213 37240\n10323 10933\n16052 34807\n17913 20881\n10173 38513\n3501 28987\n663 9836\n20760 44819\n28086 47255\n26820 45235\n6406 22690\n27311 37700\n1377 21697\n5430 25601\n37851 44705\n15297 39213\n7353 32326\n4730 37934\n16521 35919\n14379 15265\n11841 27973\n23580 37811\n11292 47929\n21566 22875\n12680 39321\n3166 13636\n25328 25863\n16389 46839\n21646 43294\n10623 22312\n27249 48457\n21449 47065\n2646 16000\n3425 38970\n21593 40108\n7081 19786\n20265 44432\n6932 23501\n6504 30986\n40667 45566\n40246 46582\n43930 48049\n1547 46923\n36820 36965\n11880 47126\n13476 36818\n29186 33865\n23499 35276\n9746 10313\n22723 41748\n10221 23639\n10425 13894\n9236 32598\n20867 37384\n6587 15924\n8330 38314\n13904 25219\n8941 47178\n25965 35052\n35403 43232\n16058 26278\n20591 46937\n10719 38145\n33790 35452\n8181 8301\n11840 43213\n13640 41178\n28911 47032\n8048 44763\n34453 37524\n4785 28523\n39150 46239\n13602 47824\n22780 47640\n2919 12535\n15082 34850\n37279 41746\n27005 31047\n2603 15428\n3737 24681\n33298 41019\n46580 48306\n13903 44180\n6232 16450\n19268 42972\n588 10248\n12710 21854\n5942 44757\n44023 46705\n24624 40765\n13807 32176\n35150 48449\n15238 29341\n5209 30592\n12283 47762\n27076 32934\n25165 26888\n9023 42931\n22213 28479\n2730 12441\n24296 27926\n13889 32890\n31390 31696\n15686 17619\n28578 29757\n43099 44301\n38076 38413\n19011 45166\n10585 48622\n19647 28710\n4735 43738\n23225 39138\n2285 42651\n14661 31748\n10821 12594\n996 27500\n3858 39049\n42499 45364\n6583 33421\n3813 18898\n23438 44079\n15533 22025\n12237 25126\n26801 44681\n19341 39645\n20421 34361\n8417 32319\n37852 45033\n15389 25998\n6380 6661\n22150 42976\n10867 32966\n3764 16121\n28879 36568\n6110 36952\n5637 18966\n37401 48641\n25054 46889\n18753 40750\n1312 46941\n3133 43658\n2051 18539\n6431 21084\n3900 25645\n37961 44784\n8056 17969\n16777 34997\n29236 34356\n31917 41727\n34721 39487\n20648 26059\n34761 39269\n11998 12862\n5104 39895\n21491 28991\n24786 33266\n6364 11632\n20356 28812\n3390 5104\n4859 37601\n26201 47837\n4073 26724\n1827 32442\n2955 10208\n11275 35864\n15220 23557\n11643 28400\n13936 46516\n3947 34149\n31014 45351\n21360 41529\n109 23925\n13347 43853\n3307 43621\n6025 30363\n36907 42068\n1408 14595\n10853 29058\n8790 42992\n30120 44445\n35666 43001\n8735 22932\n3506 10665\n10154 44298\n13216 39556\n2469 46127\n43244 46432\n20082 32955\n34409 42473\n24628 29929\n38090 44307\n4668 46696\n42921 46704\n18276 30851\n4043 36350\n16905 22701\n18399 32459\n11876 34072\n11121 34010\n24667 39273\n40491 41497\n12146 18696\n18630 28566\n29330 45904\n2828 39859\n4300 14463\n35985 38841\n18955 34295\n9959 42748\n1001 33234\n33550 39171\n11036 16685\n31375 46821\n11816 47023\n13042 44926\n3452 44636\n16941 47625\n5740 17681\n16263 44352\n17925 33994\n43191 46136\n20266 37859\n12622 26271\n8401 29135\n7556 41413\n2449 23643\n27827 42476\n34425 40399\n1958 3303\n4666 5525\n19563 20053\n16215 44237\n46931 47096\n14624 38279\n45302 48176\n1116 39579\n5875 26168\n22805 29850\n20562 23252\n2784 12043\n18974 46715\n330 14010\n8796 37107\n14341 36903\n7860 40581\n26827 36155\n17658 27928\n1935 13090\n42801 47122\n20143 45343\n24245 44111\n5029 17113\n13735 30065\n6862 10809\n22346 44989\n38589 41519\n5100 31902\n12591 20496\n26278 30789\n5462 18322\n323 39137\n11284 11787\n18610 30217\n5674 19538\n8847 35292\n12108 41973\n5703 23217\n19006 23377\n25941 47403\n15131 40700\n8613 20853\n22746 44405\n4764 22808\n2916 11940\n35491 41871\n7797 46172\n24164 24752\n1716 29748\n30027 38679\n21121 33424\n3003 27051\n29705 36892\n20718 48472\n30619 31808\n27545 28371\n22723 28922\n749 5296\n42324 48141\n29616 29948\n6378 31103\n5865 28801\n10518 46902\n33971 37546\n29144 43293\n196 38489\n19319 31861\n5793 6721\n17813 45617\n36511 37578\n18265 46293\n19482 26062\n6833 21927\n35978 40082\n35384 40768\n15084 21058\n429 3792\n9045 47774\n5230 44786\n5420 25287\n21333 35130\n14557 48177\n12608 33548\n5805 10485\n5107 8958\n370 37675\n9665 44191\n4605 34740\n4831 7955\n31006 47654\n18776 29697\n25747 46689\n44359 45818\n27855 30384\n10662 35171\n18647 26236\n1429 9309\n14476 40160\n20148 27431\n17418 35324\n10895 47687\n19635 31705\n12826 19974\n8495 14820\n19187 46657\n22050 26109\n389 29608\n25121 32469\n28341 40055\n21843 40410\n4233 12182\n4199 9418\n32021 36421\n14190 14548\n25739 47376\n39700 41748\n20519 23337\n3637 5659\n11348 17126\n27429 36460\n716 2262\n17510 23789\n22369 31840\n3844 16468\n9277 20344\n42709 48092\n4242 15466\n14701 26823\n34752 37869\n20603 28127\n2534 31333\n6553 29949\n15362 22502\n5389 30790\n32244 34550\n18552 33391\n10027 30684\n18397 45032\n1117 36333\n13732 34171\n21871 28500\n6994 28321\n19977 32591\n23378 36666\n13028 36981\n19871 24250\n806 45362\n1047 19288\n14535 38444\n35082 36941\n29387 48146\n11981 32013\n10948 44028\n830 2131\n18795 19350\n30206 31580\n12213 47625\n10971 25325\n3830 31542\n7749 12009\n2343 25674\n15991 29598\n18269 22359\n3267 24832\n17540 20409\n31790 33645\n28429 31140\n20303 30928\n24 40119\n18321 24071\n10915 15910\n13196 45934\n14371 31685\n25356 35903\n8265 36381\n10104 31124\n38908 48040\n145 43265\n21514 24119\n37380 40881\n28861 34361\n12093 47907\n38560 47063\n33460 44039\n10564 16939\n34204 47835\n25708 44493\n7830 24476\n2851 18083\n11182 32034\n6133 10314\n15855 41142\n19450 39806\n35661 47102\n41565 47717\n24320 34453\n9449 44147\n32978 36268\n21573 21734\n17213 27517\n12662 19243\n3252 6414\n13192 42703\n1450 12964\n24577 46698\n12374 48579\n38621 46773\n14626 46813\n37209 47340\n13272 30682\n753 10925\n14512 47929\n21665 35241\n13965 28208\n14509 22828\n10268 33468\n21930 48587\n35112 38456\n7021 16751\n36375 36461\n6755 48545\n3160 27087\n19920 25035\n25403 44218\n26175 38241\n20808 46185\n5299 31643\n27414 39989\n23002 47590\n5497 41658\n19163 29659\n15745 30247\n5892 33038\n41390 44930\n19319 43178\n88 48584\n9673 24767\n11410 37618\n13175 29880\n12930 35651\n32665 45934\n19712 25004\n1201 37194\n14831 41085\n30464 38052\n13406 43980\n34843 42662\n19127 29068\n1791 4078\n4510 29587\n4233 24753\n19538 31497\n21831 31834\n25046 36800\n7554 17195\n33043 47837\n27343 39545\n35601 42044\n12082 23795\n9902 18543\n18788 25939\n27088 39215\n29804 45594\n18619 34904\n23120 34059\n17146 23911\n39093 46517\n6874 13635\n19530 39865\n5259 14609\n11783 21067\n7532 38587\n7980 42746\n24189 32333\n2681 47223\n5917 27438\n45160 48050\n4559 35591\n15277 15519\n490 19125\n3176 37824\n20469 43066\n3263 19850\n40251 42077\n17254 38715\n2888 33878\n34045 36585\n19771 21789\n8568 24054\n4487 15533\n1507 3448\n12277 32183\n8171 35225\n35773 38466\n9363 22792\n13277 46847\n24555 46452\n28136 34962\n9915 17272\n26718 29722\n14462 16540\n21237 47445\n7892 14493\n17014 47659\n26793 38025\n30080 40495\n20413 35519\n8882 44242\n17278 36703\n7350 15649\n20754 21867\n9982 33780\n32300 33912\n32700 33923\n785 36051\n15115 40968\n29960 45025\n6985 47290\n20590 40787\n22468 47159\n26262 35057\n28701 41861\n8448 17113\n21533 22844\n23142 37952\n45106 47655\n17429 21513\n35237 41601\n20334 45251\n20269 42507\n29155 37711\n14074 16617\n5207 23486\n3184 9342\n23991 26337\n233 26437\n14541 26798\n15818 36580\n11376 43010\n21032 22633\n19945 28914\n15959 25084\n25125 48149\n317 8189\n2899 23391\n12981 35547\n36715 37674\n8450 12256\n11136 18585\n31575 36348\n28162 46702\n12600 14683\n18743 39645\n1432 29054\n21367 41556\n24908 33299\n13789 28410\n36842 43905\n25890 40394\n44980 47922\n402 9108\n1433 48328\n16235 27384\n15330 25773\n284 21495\n22015 23879\n26881 39032\n11316 43796\n7937 20537\n17294 26699\n12505 35676\n11776 33267\n8523 18711\n6051 17795\n1492 25783\n25975 27112\n12959 16477\n6729 39590\n19490 47292\n15581 29284\n22943 24685\n31266 36304\n17962 35482\n712 24273\n8651 31989\n5526 41764\n10165 48329\n27183 42109\n30454 47524\n14981 44550\n28134 33051\n14263 35775\n9894 24408\n14655 18449\n16123 33987\n27821 36613\n16893 35593\n3472 10397\n4593 14134\n31584 38684\n11633 23288\n19351 25482\n5492 40887\n18893 35262\n9202 39644\n13595 44565\n10470 35077\n9993 41414\n1183 16844\n13264 39759\n37973 41797\n12981 48393\n15418 41113\n19411 46048\n29561 36926\n2535 22735\n31755 44730\n715 20604\n20589 22639\n9001 42014\n14674 45064\n3073 9464\n27312 38603\n40167 46938\n23367 45772\n11625 36200\n19644 21771\n10120 13369\n12551 43080\n2575 39209\n12710 24347\n15900 29404\n25096 45747\n6909 22913\n17367 20245\n20895 25443\n8066 47615\n4340 46971\n23155 26306\n6041 34972\n10785 36112\n13550 44017\n26910 46798\n26786 44218\n32754 34686\n44072 45457\n15596 22343\n4601 17879\n41394 47162\n2755 48175\n9225 15669\n4869 45239\n3430 23588\n21489 40598\n27025 48506\n15133 47376\n29138 30555\n97 20157\n4884 9976\n44887 45017\n6350 47040\n30090 34534\n6329 22619\n23376 40746\n20540 36192\n27844 35569\n38379 44045\n15250 19961\n13583 33099\n7349 17769\n11003 28580\n2387 9699\n38654 43564\n7047 39286\n15573 33140\n10451 36312\n13732 28537\n7632 9020\n7200 30072\n28769 31206\n18556 40791\n37152 43791\n6831 16737\n2003 46075\n34884 37617\n31300 43800\n6450 11490\n10315 46224\n3891 34320\n5866 30704\n30298 37294\n10532 33241\n3814 20070\n36165 46721\n21621 46104\n21968 32083\n6125 24596\n24282 26579\n9241 43727\n25715 40876\n16909 39924\n13108 20229\n24010 36611\n1667 7980\n28975 40204\n486 27807\n9923 19965\n15219 33000\n18151 45821\n32842 42844\n8561 35062\n5052 14594\n30484 38732\n22371 23487\n21215 26420\n12792 27992\n26335 29191\n24965 46065\n29895 42222\n1672 29838\n29184 43594\n24656 45855\n67 48124\n20984 40033\n5640 25758\n17488 47639\n7367 17817\n10195 26797\n5016 15320\n23076 31518\n19155 41013\n22206 45906\n917 27202\n714 34456\n31318 46088\n11489 48533\n1170 35295\n3120 5205\n3203 34854\n33515 48276\n30334 33384\n737 29684\n18819 46741\n4699 44104\n19885 29812\n596 40209\n6318 27640\n13269 36855\n16235 48308\n16134 36728\n9834 29290\n15223 30530\n350 33903\n31839 36590\n41311 41922\n14280 19124\n26633 48364\n3867 26402\n2575 11230\n10436 16859\n2341 40479\n6969 41509\n12845 35475\n15215 27759\n18087 41083\n2876 20630\n10926 39708\n25593 27926\n4582 27357\n8073 35873\n22049 36461\n21238 43409\n8303 35240\n5508 31178\n3921 29551\n27249 39427\n14621 40918\n36139 40189\n3628 19164\n2434 3889\n10479 35700\n3484 30674\n20873 39715\n30088 30997\n6570 29620\n30684 34205\n32011 45084\n6392 23726\n3886 38578\n25563 37291\n17525 29199\n38900 41234\n2894 34765\n3410 11156\n28602 39120\n13001 22062\n24103 24701\n25397 27318\n12627 20611\n33237 33725\n2454 19342\n37072 45538\n21109 23226\n38236 44251\n765 37923\n24 21576\n23594 31658\n1110 12961\n2644 46762\n16398 33780\n12058 23326\n31189 47407\n15525 18255\n30404 45337\n10344 31204\n19846 33894\n17261 24125\n19903 47615\n13018 15636\n42170 48578\n7919 48662\n33611 45407\n11994 46917\n23504 24320\n15982 34199\n2059 8799\n9644 32908\n11379 33679\n2299 14899\n12172 41447\n17644 45321\n25223 33495\n7961 41037\n5750 20495\n9907 18090\n1498 3701\n8977 42895\n29608 30424\n3212 9110\n4621 47516\n10778 31227\n9689 44906\n15095 37777\n4165 17768\n27984 36692\n35501 45373\n14110 39442\n30305 36080\n5626 43933\n27467 47081\n11643 39328\n11188 22823\n19653 22428\n21626 28168\n1179 45768\n2448 41459\n4667 8540\n33417 42692\n16210 37697\n23213 30156\n10943 22427\n16006 40777\n27397 42776\n9545 43550\n16553 19782\n25939 26252\n2799 31897\n10499 48073\n17178 32865\n45858 46789\n8249 27040\n29209 40584\n3796 14274\n42107 45386\n20975 28097\n4441 45738\n19857 23491\n68 32372\n2971 15273\n16333 34418\n6139 15990\n19899 33389\n4239 19877\n45177 48581\n45163 48455\n25135 46576\n38177 44459\n30173 31780\n14539 43463\n35103 39905\n3368 9180\n14901 22807\n3924 30789\n45336 46019\n26455 39863\n17537 24205\n1076 8354\n27748 37248\n34792 42239\n1954 26440\n9370 41401\n36517 42436\n357 29966\n1693 1945\n489 1691\n4794 10979\n5888 8207\n6049 12281\n8601 9983\n26314 36920\n14837 20809\n23800 41228\n11748 27727\n14356 17033\n456 18472\n20022 41763\n10098 32924\n26971 44775\n19417 30168\n621 9975\n4512 9288\n11682 37150\n15 22557\n34870 36674\n44743 48151\n7629 27720\n7891 20504\n32899 37717\n24126 35504\n26588 40667\n19651 23855\n4710 44691\n1157 34701\n2442 28741\n10111 33906\n6996 24000\n12315 34024\n5288 24885\n18538 28180\n29883 30605\n24506 41841\n12712 16532\n829 18548\n29198 47186\n13716 18985\n17466 41342\n20951 47484\n11303 15366\n7174 21108\n3713 17083\n7566 45167\n34554 36287\n10830 24283\n37596 46168\n43759 46912\n23437 23485\n21387 48504\n19165 29657\n15982 48618\n10658 40438\n359 7465\n30537 42432\n21052 31170\n8744 23271\n18904 39603\n30877 44059\n1992 10747\n1528 32957\n6678 9551\n23930 29410\n982 19830\n26966 42915\n16837 24198\n10541 31545\n371 26691\n2053 3077\n2488 40934\n23221 35375\n4242 8000\n12102 32614\n2767 43831\n1528 10291\n32092 47536\n1872 16143\n20079 37993\n17493 35347\n31646 35036\n24261 44283\n5067 40199\n10066 46275\n26591 28386\n14181 38414\n14904 34819\n4664 45420\n1836 3178\n7451 18211\n19742 44763\n10440 32523\n25803 47071\n14642 29298\n14460 38579\n7365 28776\n4146 33358\n7989 45688\n1539 33506\n3081 46634\n16159 22637\n6883 21633\n21842 21927\n13862 42519\n34898 46733\n43079 47388\n6479 9839\n17085 20476\n22065 44668\n12576 39040\n18757 26339\n1405 41102\n12949 47342\n30524 35812\n3619 32038\n9538 30049\n1755 23357\n16895 41665\n4257 42074\n3696 10188\n2736 45532\n25253 47836\n13200 32331\n12482 36807\n14639 48453\n13987 23984\n8442 45502\n7313 48179\n4518 4913\n30772 46987\n21864 23899\n33348 38986\n7432 18255\n9528 9538\n25588 27653\n6700 34473\n824 47559\n3237 9453\n12634 14450\n10967 11894\n26632 35386\n25052 26720\n30305 32231\n13562 14914\n6497 22789\n20646 28420\n10157 47159\n865 41939\n15260 34931\n34373 46797\n12542 45510\n2890 33745\n15354 26319\n15490 19679\n8636 41864\n15474 18404\n19660 39539\n30433 33386\n7366 41118\n8831 37239\n2535 39834\n1938 7953\n168 36738\n11672 26261\n22453 38090\n20078 31624\n3540 28729\n18203 46814\n10054 24268\n1303 23897\n335 48429\n25634 43210\n22023 28668\n9478 14298\n24218 46627\n10662 43694\n12376 46809\n2421 17398\n39912 42132\n10046 25211\n35887 37456\n27700 40031\n2353 44900\n947 21624\n20681 38392\n7074 47589\n21562 38291\n16713 29055\n32927 38791\n12326 34922\n12108 24652\n22153 29653\n13598 39973\n3949 42515\n8669 45719\n879 22060\n30403 31520\n33583 43851\n22907 29206\n23103 43122\n15486 21915\n13468 30576\n22964 43229\n19216 19910\n9061 16002\n20593 34105\n14140 47866\n19782 40227\n8764 22362\n4873 14656\n26945 34179\n21521 26796\n10323 45145\n21199 32276\n21872 37807\n3547 8621\n45716 47025\n35581 47067\n6452 21768\n9795 47748\n9113 15967\n17217 17928\n8963 36309\n29734 37615\n2613 20947\n9545 12972\n29614 32050\n41380 45879\n5812 25492\n17127 44745\n20947 47328\n1615 42913\n6698 19344\n41903 44744\n14637 25522\n18327 28749\n9601 41427\n12179 35484\n30995 42279\n6328 40528\n30839 33290\n10544 39417\n9537 37698\n36683 44306\n19495 20274\n870 27332\n4603 6852\n15384 35087\n10336 23660\n12227 13828\n124 17917\n23649 28083\n1824 17399\n13696 29791\n26928 33252\n15096 29373\n18981 22749\n17124 29333\n4504 7621\n4786 6178\n23235 41859\n12225 48356\n30058 33958\n3614 7113\n16458 38147\n39599 43930\n9959 38511\n26051 44406\n1076 29709\n32105 41714\n32954 34900\n15501 36146\n20018 41690\n4260 19665\n39789 40789\n9761 31945\n19415 21370\n22063 22478\n26654 45318\n8021 41885\n25285 42323\n15628 32974\n2475 29772\n25304 29139\n3889 39282\n28243 37177\n2919 3354\n19640 30786\n2295 23730\n22576 43080\n4192 34502\n8890 16986\n6504 34912\n1438 16378\n25225 35626\n6358 44323\n16446 28628\n24031 44636\n22579 40246\n18995 48369\n24066 27203\n3529 47064\n22561 26293\n9153 38576\n11929 42156\n8816 34580\n23173 32798\n14794 27588\n19176 24830\n5786 45525\n38826 41498\n11851 45449\n7136 48098\n18129 23170\n17875 26469\n10170 17167\n9916 29051\n2741 17586\n25127 46703\n34690 38324\n3843 28888\n8981 44690\n2791 33510\n14460 47183\n17551 47729\n21942 37796\n13649 28610\n6102 43911\n35677 43632\n31081 36995\n20433 32128\n8580 39663\n28188 33429\n14513 22931\n7272 25292\n16690 21892\n293 17671\n44642 45284\n16478 34371\n1406 24137\n27073 47742\n18755 22304\n6261 31328\n19919 41993\n19964 30914\n18252 42571\n17216 21083\n8513 16271\n1540 4845\n32895 39800\n9791 42298\n30329 34038\n30352 37783\n15638 41102\n8943 47302\n23214 40951\n38717 43490\n27109 46632\n20661 47249\n3464 10663\n21106 36242\n10638 13278\n2713 45882\n28626 34297\n9824 19424\n8220 31764\n14975 29988\n25335 37732\n21979 25047\n4571 23977\n9351 23828\n8142 39131\n23805 24604\n36984 41885\n2305 21116\n3750 34982\n1460 5984\n26538 43638\n19477 32707\n9099 25889\n11859 47319\n13138 34516\n13546 31307\n34669 42594\n13817 30736\n17458 45386\n4566 13279\n6479 11189\n33619 45795\n1347 34254\n35556 36660\n3457 22176\n2433 6917\n3968 22509\n14165 41595\n4857 34372\n27077 30831\n3826 26037\n34550 46380\n26717 32123\n29415 44168\n39260 40804\n13235 47251\n43562 48468\n3237 42604\n7015 32587\n33005 35951\n1307 45608\n20038 35804\n6215 9857\n14390 19915\n620 37856\n11589 36648\n3976 16920\n28198 41282\n13343 14145\n7960 24047\n8650 26262\n33213 48366\n12486 15015\n17138 46463\n15186 26979\n2806 6654\n1154 22401\n31115 37407\n17370 32620\n4936 41332\n6422 16144\n26382 34506\n29819 33847\n25359 39649\n40576 45734\n10082 21469\n28153 44864\n17784 46535\n22459 41183\n19577 34228\n35430 42789\n8901 37118\n11923 16897\n4883 33583\n33409 36084\n14466 44328\n30290 34841\n30634 38610\n28003 38137\n9608 19847\n7631 34837\n17425 40494\n5047 43754\n8937 33538\n13010 33841\n12712 26918\n5380 36533\n14602 42888\n3453 45548\n9443 26931\n7778 8122\n20569 29758\n17954 26105\n6090 23090\n38453 47554\n1876 27054\n338 29975\n33963 47791\n8840 27786\n16797 43119\n10026 22739\n572 45773\n12096 25216\n14643 28683\n27166 35187\n1060 42343\n21457 35206\n24295 24407\n37756 44014\n24118 28647\n29193 31292\n6992 37576\n38419 40709\n31090 31438\n16838 17213\n11309 41292\n11982 46905\n11798 43621\n19315 35681\n2401 11918\n22333 40142\n12021 13883\n10410 36246\n19405 40520\n12489 14196\n25608 37191\n40196 47255\n16938 32613\n28897 44427\n17030 28955\n2039 13681\n10444 18869\n4314 37936\n7811 39247\n653 43675\n11348 30517\n15941 43794\n23941 48327\n11895 35877\n21802 41148\n3730 18994\n4691 32401\n30835 31157\n35401 45921\n1107 30132\n32106 45060\n3309 4022\n638 29890\n18713 40012\n29 20293\n6855 40255\n124 8319\n28139 47833\n20856 41076\n3747 9014\n520 12438\n4758 13376\n25955 35664\n2188 21846\n34030 40878\n19698 32505\n33922 45776\n19672 42122\n23468 38540\n30254 34437\n28096 32242\n7175 13914\n1096 8568\n8845 46681\n7443 35135\n11996 22742\n12432 24421\n16937 36654\n36358 40960\n36814 48125\n15842 48189\n21728 22540\n8417 31790\n9405 35839\n14486 43366\n15280 36227\n3638 37965\n3057 25827\n14977 39037\n132 48107\n6914 7479\n12267 30114\n5798 26386\n136 38214\n43773 48562\n14909 22344\n3135 28065\n29549 30257\n42150 45763\n13674 30414\n48267 48295\n22018 33360\n13501 41844\n13660 29391\n26627 37009\n44431 45014\n20292 34127\n11379 25468\n30596 31613\n4800 19529\n898 31149\n2823 14980\n28102 38075\n3068 26486\n26998 42841\n13255 21541\n1532 44540\n34035 37398\n18984 37513\n15412 37377\n33829 34234\n5103 41602\n25681 44622\n23019 40180\n43188 46772\n7648 32165\n22201 35407\n35564 39325\n555 8605\n16526 40608\n17880 21300\n10493 16046\n2535 47389\n8204 46586\n19275 41259\n32072 48168\n12938 29141\n9774 19318\n19396 33070\n3288 27347\n12667 35855\n2946 26504\n22389 35416\n28074 41216\n140 29575\n11479 27211\n32877 45648\n14054 31580\n3412 45629\n10545 18659\n39727 43989\n14079 42325\n13352 30913\n15641 35992\n34927 47204\n30933 37188\n42256 43928\n22062 42076\n18447 31727\n14470 34144\n3644 33581\n2663 8128\n42383 42994\n354 1757\n14220 30129\n27525 35048\n8448 30786\n11793 28517\n5124 17364\n27014 27051\n19716 35523\n10940 42792\n8881 35289\n18489 33302\n23894 34383\n23400 28999\n9258 29182\n19185 20039\n17822 45447\n40123 48306\n9245 26958\n24793 46361\n31537 32831\n22029 47291\n22546 34057\n16862 24973\n2945 23820\n4439 18340\n2318 47956\n2676 40835\n15391 18447\n23909 48491\n5767 21218\n29026 32829\n37957 45046\n3644 9418\n1343 46692\n24276 28144\n24483 39765\n4612 40898\n332 27144\n27312 31990\n9967 26281\n12904 28766\n4220 34669\n7403 14976\n13001 25825\n27180 33053\n22564 37542\n18638 38265\n23401 23815\n35579 38405\n1161 12989\n6973 22177\n10817 31529\n9902 26618\n4959 36417\n25508 30959\n25783 37410\n8760 36648\n7397 25962\n10700 24761\n14605 14861\n7987 45125\n29509 45636\n15318 29204\n28565 38172\n3254 26656\n35056 44513\n31364 33873\n15394 38016\n41546 46496\n32018 42945\n2486 16392\n14725 31711\n16121 44375\n2355 24577\n5590 21388\n6896 17723\n4807 30724\n16855 47197\n29716 32041\n15217 22510\n11223 25183\n27363 30398\n10814 15316\n22091 27817\n8045 23971\n12341 40972\n16630 22696\n24541 36305\n16562 20442\n6155 46749\n34318 34442\n8388 26774\n31533 36210\n23120 27429\n15750 48322\n16401 45324\n18814 29080\n14032 34790\n4772 27798\n10393 32655\n4594 22693\n33764 44625\n9081 26978\n20206 29502\n27781 41727\n21703 23855\n38549 40295\n4388 40178\n21639 37484\n20137 38281\n24677 40023\n19531 44864\n6296 29958\n31810 45303\n25918 28949\n18462 32237\n31023 41644\n2931 3449\n26631 43846\n2773 45976\n10967 43392\n21314 40341\n9052 30534\n13244 18899\n17870 29538\n10445 39623\n20943 23102\n27437 44236\n9763 21071\n21896 37495\n4855 29342\n5721 12487\n4097 25981\n15276 38242\n20392 35115\n3325 29938\n18374 41852\n26301 44211\n41792 44481\n35343 47026\n18573 35625\n2235 21310\n4187 22460\n25922 26112\n2904 8499\n31237 36161\n22914 37335\n21617 26690\n13391 48218\n3205 33730\n11348 21183\n10449 19684\n6222 31639\n3208 23029\n30592 43810\n41504 47084\n23950 35056\n25906 35911\n34869 35390\n36977 47804\n15393 42515\n9485 32462\n25281 45866\n4556 39327\n34178 40625\n2815 13373\n15037 32258\n8136 32057\n4771 19853\n5306 37127\n494 19584\n10697 30216\n3227 44372\n14311 31393\n13042 35204\n29807 47128\n32966 45639\n18132 21042\n4465 43207\n24315 26128\n26055 38027\n9979 19490\n763 15548\n8239 42706\n4061 17992\n27701 33215\n22940 28419\n30997 39532\n37419 40995\n27645 38648\n2235 29919\n15591 34459\n10473 31431\n42681 43084\n6577 30688\n15953 19626\n3717 40117\n26909 39752\n18386 30611\n34895 44881\n32296 35171\n4283 38601\n2994 7406\n6298 40640\n4881 6646\n12156 28894\n11773 34822\n10748 18029\n13149 35916\n22635 45267\n13738 23420\n6331 39374\n13663 36482\n11889 42865\n711 15573\n32615 38996\n7893 26298\n18614 25383\n11266 27900\n248 1597\n583 29490\n12058 26864\n17211 38952\n9401 28938\n4469 21587\n32568 37935\n7416 25773\n32029 48199\n11052 14503\n43219 45250\n8806 38124\n8328 46545\n26610 30805\n32287 36590\n5123 23627\n1395 7812\n2821 27472\n27894 32340\n3332 27739\n33288 40036\n29194 38235\n18187 47550\n2815 47280\n7704 26498\n31394 38068\n22390 43836\n8285 12759\n18845 44227\n142 36000\n5958 40414\n14121 20823\n10905 47053\n20296 47033\n5833 22225\n30868 46289\n26563 47416\n13986 42991\n21846 37154\n24399 34769\n21458 31361\n7215 11895\n5612 24977\n33257 44307\n22096 41408\n25356 43171\n26043 31431\n8263 18393\n2952 47227\n5933 17611\n4354 38142\n4001 9124\n45597 46209\n39307 42992\n8299 10796\n31252 32056\n2489 33321\n8916 15745\n6264 8227\n1354 24917\n8463 37679\n10444 20654\n23230 31757\n13862 25216\n3116 48107\n13809 41381\n20056 43396\n22996 41359\n463 10538\n26713 43624\n35559 42350\n23616 26711\n35541 46213\n7384 29979\n7769 23355\n45531 47688\n3689 13590\n21634 24087\n22306 22503\n6599 38653\n21505 43113\n2717 46123\n11748 42107\n10246 25894\n15343 28259\n21826 23508\n217 4612\n44394 47873\n4678 13711\n3922 43938\n18752 43761\n4813 27439\n2168 11833\n17019 25081\n4508 7421\n1213 19089\n14908 20853\n5646 47531\n5660 22206\n33758 43082\n1457 28364\n28374 29526\n17880 27512\n14668 16008\n5623 10299\n4270 7988\n9858 24711\n46 33043\n1573 30537\n13215 33901\n3181 29121\n22709 25638\n23852 29030\n18788 21523\n283 25415\n978 39255\n28645 46775\n29724 36460\n15316 42547\n13165 29043\n33570 47745\n28212 45251\n1582 47743\n11063 25027\n29408 46672\n29504 47147\n17308 26454\n27574 33745\n19598 36194\n7126 28589\n3413 13754\n9059 35853\n16847 22870\n15818 27676\n14207 45258\n14045 45523\n27291 27540\n7624 28724\n7652 20897\n7561 17576\n20889 48437\n18261 31758\n14147 28024\n21055 32175\n281 30308\n5461 22001\n32112 41056\n12976 28349\n1009 26906\n37190 41150\n13933 18052\n2871 22561\n12691 34349\n24687 29120\n28683 48471\n35153 48189\n30051 39558\n20310 27189\n15719 42704\n21800 42793\n5752 8532\n17640 45985\n12282 28858\n8599 24885\n11592 37591\n3485 44393\n4933 31908\n28623 44905\n14912 17111\n10996 26232\n26044 35223\n15093 35608\n8681 41526\n22600 43829\n6414 46648\n34786 37065\n35074 45097\n23281 33485\n13139 35152\n19357 37610\n20954 31958\n12343 15565\n12062 16855\n37546 38128\n6093 35441\n1432 4310\n36772 37850\n3171 3400\n44992 48440\n8102 11425\n17244 34073\n13598 45849\n19681 25961\n6225 37587\n11082 28940\n22914 40584\n16822 25638\n43379 44889\n16156 18859\n15665 20726\n13073 45798\n26677 35981\n21136 29473\n3812 31929\n3911 8444\n26671 37300\n1008 14861\n25387 46055\n23293 47302\n4890 45451\n15360 46233\n1873 27567\n34388 44775\n25928 42543\n10086 25821\n27792 42880\n10562 23390\n12166 27936\n15063 20764\n17054 35769\n29435 42649\n10064 32483\n34296 48649\n16907 47099\n17347 20885\n22890 25493\n17683 23138\n6818 40196\n24856 27987\n21784 44962\n26625 46093\n14206 43065\n10285 24497\n2085 35425\n9165 13068\n7914 17783\n12099 22428\n6578 35420\n9324 38509\n31862 32547\n7795 20959\n13646 21976\n3815 18315\n22052 42076\n21832 35520\n34073 45879\n27823 39345\n19684 32891\n148 16223\n16500 46654\n6816 20359\n11214 44040\n24681 26980\n20716 38116\n6070 15564\n27732 44560\n12255 34007\n17801 19723\n8603 9017\n27839 36818\n24398 34169\n5789 23796\n3823 19324\n16635 30678\n6583 37911\n628 1247\n6152 11983\n13853 43035\n7116 15518\n1644 24978\n17668 34249\n6259 38657\n34649 45945\n40852 42991\n3599 7784\n32380 36533\n10179 14405\n19962 42660\n39893 40625\n6690 37710\n25964 47493\n3895 23823\n322 35231\n32896 37456\n12469 44315\n7087 24249\n476 21350\n5399 13414\n19039 46176\n19616 35785\n450 11732\n5859 44321\n24212 48552\n14286 15604\n15184 18066\n37912 42236\n48285 48289\n8870 29868\n30594 43169\n36643 38861\n36848 47424\n23180 45220\n18989 28386\n23089 23139\n15298 30395\n744 4888\n12512 21337\n1671 23218\n25275 40153\n11368 24143\n17537 36303\n31323 44534\n11703 35369\n9917 46545\n10986 31140\n10122 29079\n6090 29994\n44505 47374\n11997 41167\n24261 34229\n6472 46933\n1299 26547\n19888 47510\n15287 23039\n2032 26294\n39192 42517\n17938 24092\n23199 47482\n3429 35915\n19182 20105\n24815 47244\n27060 34403\n18183 22200\n13607 20120\n11915 45855\n6840 44699\n13341 25431\n11310 41516\n17412 35229\n31808 44637\n10732 34442\n16679 46261\n35529 38654\n21682 27676\n1811 34304\n34541 39693\n37829 43198\n10250 37823\n35193 45082\n23629 45160\n3093 21087\n15195 44759\n36178 37445\n9925 40366\n14460 14555\n14063 22745\n8043 44968\n15313 47755\n22674 24061\n10492 45534\n2244 11887\n32936 33968\n14415 28917\n866 32262\n9026 47985\n35465 47316\n14715 38046\n28712 37725\n9845 12313\n27282 28878\n33122 38729\n34835 39140\n24576 36240\n12457 47654\n37169 43860\n778 40992\n8191 13347\n248 12636\n14474 28082\n6749 35775\n9492 38782\n7739 11057\n33590 46649\n31853 44339\n43988 44320\n42801 47531\n9673 26745\n1732 23752\n42807 43067\n7661 42283\n2956 39248\n21845 29374\n10246 21184\n29 3614\n7886 10277\n8839 45509\n3255 24925\n32198 32797\n15710 36418\n41373 44261\n23386 40382\n15548 42060\n21967 32119\n2760 26099\n25231 36517\n14109 17061\n8238 23073\n6684 19620\n24803 35191\n11449 44170\n1713 38810\n26553 43778\n367 46263\n4480 22598\n578 9600\n8265 40348\n17175 43478\n4117 28228\n24497 35100\n1800 10625\n42374 46307\n36840 41305\n44682 47399\n18609 29846\n21685 35706\n16042 31115\n35945 43943\n17754 45343\n42367 45062\n14853 23950\n22752 31818\n7538 15125\n1845 13569\n3837 19710\n15849 46135\n453 31006\n16491 31486\n1071 32734\n6994 41195\n11441 25175\n8694 37101\n16559 34735\n6143 14840\n22799 26282\n11100 42050\n4916 39218\n34010 41724\n485 37725\n14211 38545\n17569 37723\n28994 40276\n33462 37894\n21524 26824\n28587 40883\n9088 45180\n21194 42708\n883 48046\n2513 8241\n24178 28151\n13586 35073\n19411 48025\n18457 19382\n16213 30812\n9472 34399\n4311 25271\n4673 5887\n26557 48309\n14818 47139\n6271 39893\n6240 37405\n4622 24047\n33021 38812\n5634 45644\n18438 30737\n8385 24146\n24091 27145\n13732 33463\n25179 34500\n3263 34403\n25446 26885\n7742 23867\n15596 16545\n2878 23298\n12313 43727\n15603 25725\n22948 34033\n31155 33904\n26570 35832\n521 15647\n6696 29638\n4743 31248\n922 45244\n21578 38259\n16213 27717\n2645 8734\n16758 21198\n20831 24707\n21608 30348\n10255 25732\n9180 46275\n6845 7052\n21434 24234\n5902 20916\n5411 33863\n13210 34006\n30356 43032\n6383 45502\n13059 22239\n8466 30423\n27651 46860\n7350 28610\n10319 19875\n4388 8727\n20215 21297\n10815 27966\n6027 40929\n18340 24563\n25355 41246\n33418 36614\n20808 46887\n36424 45572\n17519 21963\n40589 45304\n15774 40373\n10499 16722\n6367 18191\n14972 17937\n4157 18640\n31382 34198\n41017 41232\n31140 33505\n25381 26296\n15091 28246\n11838 12228\n28135 37845\n33249 40269\n6351 32898\n8751 20002\n18657 39287\n25775 42386\n18299 23610\n3783 9564\n28166 36384\n35781 40117\n36294 47391\n24643 32385\n13664 45179\n8778 39139\n22243 31847\n12989 25259\n1167 35100\n41789 43722\n7060 45338\n5283 31849\n955 46570\n9669 34042\n14253 29296\n3549 27858\n10587 45264\n32850 37450\n5511 32492\n6260 41788\n3192 10595\n6401 30094\n30879 33087\n15734 31942\n18977 42471\n9008 16336\n33263 36843\n2725 14855\n17600 37558\n22338 35726\n29057 43318\n19528 21641\n17189 29629\n20624 22248\n1922 22013\n16854 41805\n39202 45211\n25958 26911\n4604 13640\n16108 23293\n22361 37303\n2585 36102\n12981 39027\n11289 24001\n4995 31839\n7884 15052\n27050 34083\n13449 13813\n6228 36008\n7580 42718\n10868 13340\n22797 31425\n7039 25804\n10024 17736\n4203 16906\n541 47800\n7930 12061\n11793 21166\n36073 38432\n39071 46619\n9027 44137\n2841 46346\n15776 24597\n21108 27910\n18748 40643\n23268 47869\n12553 36393\n21823 31617\n8384 29337\n43767 47711\n28709 32279\n2787 17957\n7760 30196\n5065 17843\n13338 38857\n13504 22848\n11036 29200\n16911 44231\n21411 30327\n16837 34605\n8112 47910\n3908 47233\n25827 30975\n4558 33053\n4208 12051\n13270 21041\n4746 28943\n13320 15703\n1949 21461\n13542 18799\n11043 40025\n11045 28212\n9179 34388\n32425 36131\n378 7778\n6389 32902\n16873 25129\n927 40195\n21118 40507\n5612 39219\n35184 35807\n5730 43145\n2233 15262\n13384 15012\n12447 29100\n31533 34882\n532 31043\n10196 13619\n18850 28970\n17600 30569\n26766 31913\n7313 11501\n36016 36094\n40970 48279\n2502 13705\n16046 28287\n12301 20506\n13122 42914\n12884 28407\n26681 28302\n8988 27233\n6578 43961\n8483 28289\n22122 44803\n3441 21464\n16886 47647\n3082 12071\n15348 32960\n39059 42046\n16801 35944\n25816 40285\n16366 22098\n6297 41557\n2560 7171\n45 43994\n20619 33973\n53 38124\n19291 43893\n13593 16670\n24438 34983\n11469 18377\n16435 22102\n26917 38887\n6332 18563\n16995 25155\n2295 47550\n20817 33002\n2552 48458\n40644 48144\n92 45161\n23152 26532\n31325 46239\n19197 42471\n9148 44155\n5229 41658\n21731 33677\n9817 17561\n28608 31519\n12987 14776\n19512 21423\n10384 35075\n6410 14523\n24959 27395\n870 31769\n19475 24403\n17817 46705\n5485 37296\n16377 41143\n8833 40068\n7612 37679\n28153 43246\n23953 28241\n10192 34171\n33333 46370\n23245 27173\n11456 18224\n14748 44319\n6363 14976\n18027 20992\n27824 37565\n33461 41973\n36111 36999\n40355 47414\n3078 5127\n2430 31285\n18221 29103\n4150 37915\n25024 34637\n25252 25319\n17530 21885\n15314 23860\n22517 36184\n14694 26250\n6577 6792\n1471 31168\n14247 22955\n32818 46058\n5858 46788\n2148 46211\n33921 35529\n13917 30511\n31994 46393\n7566 19331\n36235 44988\n10700 24375\n23817 36855\n9361 44926\n11346 35083\n22282 35282\n31246 38493\n36130 37024\n831 25616\n20324 35284\n32097 37409\n25047 31356\n13632 44177\n25550 44272\n6754 36081\n13114 36534\n17327 35744\n152 27670\n34041 43674\n13094 39711\n28569 38982\n1483 26006\n2417 9301\n24671 41521\n30223 40663\n12518 29799\n1977 24358\n17563 38277\n5961 13359\n36262 37538\n28284 28630\n6639 15269\n29209 43911\n12699 24137\n217 30840\n3019 24081\n27900 34765\n44390 47566\n6342 37878\n17243 36874\n3107 13294\n13568 32559\n3980 30318\n708 42410\n8110 39678\n28067 33667\n11047 38521\n11672 15773\n47873 48049\n11264 34080\n28583 42705\n27131 48107\n14417 40780\n17303 48099\n37391 40181\n242 15284\n19906 41993\n11788 17253\n9302 47303\n20192 24628\n16071 25524\n1252 42044\n15889 24486\n19821 47332\n15128 24567\n4428 11010\n35087 41457\n174 45598\n5712 33469\n3210 3560\n7680 23090\n11767 22444\n5119 42661\n7790 36068\n8121 11849\n12983 24151\n9255 31457\n3085 11917\n3935 22778\n17371 46731\n22043 23141\n17015 39696\n6893 25191\n6439 12210\n1261 30269\n14556 40652\n23761 35806\n30916 32693\n4164 23940\n18923 24190\n7891 15886\n18532 46026\n10259 15135\n2948 44968\n3898 34447\n13573 37838\n33629 39185\n7975 21395\n26594 34075\n3392 11608\n2584 33344\n19777 40388\n26747 41605\n24966 48127\n13072 41140\n663 24321\n12362 31252\n25108 33443\n1965 43141\n28222 39271\n16667 23186\n17212 21908\n9689 10042\n7593 20801\n5509 29503\n5585 38510\n4557 20947\n6329 36085\n5115 13002\n4265 32519\n30253 43184\n20801 30001\n20037 28767\n25809 47452\n19758 42588\n32745 41370\n8817 26312\n5353 26628\n15859 36140\n5349 16655\n20398 22766\n24529 24536\n12353 14507\n21532 26762\n21096 41796\n39245 45091\n27613 28574\n1405 11072\n16545 38648\n22815 44507\n15383 40623\n14835 38555\n30266 37649\n15666 37251\n2930 14899\n19824 43622\n22435 46264\n14690 44960\n36359 45232\n23816 48657\n845 19665\n1265 14047\n4852 33037\n23001 44860\n35180 35537\n418 2626\n1505 8486\n29862 33344\n7236 30438\n3766 46693\n17331 22342\n35939 40485\n4412 45413\n15120 40107\n9599 47457\n13606 16473\n1441 9508\n17432 33098\n2713 17840\n12901 32532\n20954 27987\n26630 33323\n9867 17911\n4317 45032\n40280 46862\n36853 39545\n1734 39906\n23439 27039\n1682 46924\n8383 18281\n11166 21155\n433 1317\n1472 41344\n13196 40831\n3285 38605\n3727 14517\n16318 23215\n17664 45777\n39039 47075\n24997 31858\n3936 12827\n11550 30479\n22331 32149\n4090 40373\n11906 39375\n3904 39679\n23675 44887\n36384 40220\n1828 47356\n18386 38788\n10525 40853\n18922 36511\n23434 27484\n8803 18776\n7664 31740\n7575 40848\n11973 39589\n3743 15340\n18150 29188\n46928 48416\n9315 41411\n23433 31187\n20381 37169\n12990 47480\n26522 43382\n10884 13394\n20600 30058\n19187 25827\n35300 37894\n10897 39664\n21277 24456\n2402 46293\n19219 29758\n22103 33199\n2056 23177\n15887 21522\n1135 8239\n41106 47028\n36515 41166\n10610 33422\n4357 8594\n2233 45134\n8943 35975\n3533 12822\n7604 43219\n3116 39755\n7587 15586\n10921 11219\n15139 40734\n26329 27945\n715 33496\n5948 42594\n5695 29918\n8429 45923\n1881 25919\n26915 27423\n22595 30038\n11627 32657\n34894 39756\n34978 39266\n32967 33858\n32858 36526\n13789 35088\n12545 22848\n12762 36539\n27316 45750\n34844 47084\n3497 13919\n16644 29645\n4707 36926\n18809 37177\n22165 36599\n1962 37099\n9570 20463\n19607 46252\n25150 46862\n6895 33446\n15248 29919\n5095 28810\n12075 15673\n23589 47957\n6755 41993\n1605 11466\n4229 47416\n13144 36683\n24193 28272\n6634 38252\n42086 47495\n5289 41644\n29222 35464\n42392 45133\n44472 46756\n16518 22915\n38536 43783\n6065 21990\n12994 27050\n20697 32161\n23158 34682\n5826 8241\n612 31735\n43609 48245\n30578 30608\n318 5479\n22908 43703\n33675 37361\n14173 25312\n11902 22832\n37050 46259\n3941 16588\n42023 44952\n7670 26094\n1688 31276\n447 5263\n10276 25955\n15282 36085\n6005 44247\n3912 9160\n7344 45541\n29568 41883\n36343 42827\n15221 44539\n5269 36429\n32825 38286\n15272 24232\n13314 19719\n13926 19228\n6861 34332\n23541 42726\n7472 18660\n3317 18884\n8652 39353\n10651 27526\n16370 32306\n12355 26061\n28731 45029\n8121 31699\n27156 40698\n31161 40967\n30698 45852\n7108 16310\n25668 46318\n34189 35478\n16522 40503\n4010 32293\n24347 45340\n46883 48359\n3961 29319\n6461 7060\n9443 15436\n8638 42980\n1824 32372\n19381 24903\n3623 21970\n759 37070\n2576 39047\n41632 43261\n19030 34384\n35003 45705\n44762 46533\n13325 18880\n41348 42617\n10654 14577\n14645 27241\n7275 16810\n23998 28610\n18210 35411\n35255 37974\n9999 12656\n1751 30693\n28287 36419\n6210 35479\n24762 45157\n35716 48157\n1256 15354\n16534 33391\n21326 43709\n29587 39004\n224 919\n21371 25837\n1658 10265\n23766 39893\n3072 25576\n9670 18582\n1125 48363\n2089 42482\n8020 45595\n7674 43799\n13531 46235\n2441 43255\n6673 25756\n10943 24110\n12377 33983\n30459 46128\n13015 20635\n29578 33963\n5684 48531\n9405 15616\n26804 30337\n20679 36476\n25794 26626\n7030 7874\n5250 10253\n4748 11170\n27873 48181\n1068 23090\n30861 48472\n31051 37472\n3029 17823\n10747 33268\n3562 4213\n30862 38422\n15390 45415\n21356 35398\n720 43444\n4633 36007\n11441 30364\n4069 28325\n26648 27220\n3795 4266\n10195 32047\n15326 41357\n34811 40842\n6643 23043\n14270 30869\n8675 16028\n12386 24931\n29461 34398\n35631 37239\n5964 27712\n14007 39116\n20851 25181\n18537 27257\n18284 39566\n9352 26684\n40297 44764\n7875 21899\n5611 10562\n17454 31894\n1695 30736\n16466 26245\n14240 39887\n2272 17263\n15415 42060\n31926 33977\n11176 34490\n16426 21853\n17270 37944\n31046 40539\n9072 46334\n3783 12914\n3053 20941\n4447 16291\n8391 18030\n18729 30952\n21890 41577\n709 29369\n33738 45678\n1881 43883\n2349 36159\n1536 12718\n4014 34323\n7035 17018\n39224 40978\n8761 13848\n33480 39853\n5082 8473\n24469 24558\n23286 44625\n41857 44660\n7784 45144\n11858 23661\n6381 12336\n13865 31036\n6288 41802\n11033 18190\n35857 38352\n42234 44052\n39080 46075\n10224 11866\n15723 38782\n5110 19375\n29578 48238\n17610 22441\n309 18942\n5286 6023\n37780 41689\n11144 14902\n27042 43970\n22064 38210\n29401 42583\n4942 39768\n11830 35450\n31322 42420\n40127 44510\n14315 27840\n41928 42427\n33111 46167\n14029 29371\n5323 21109\n13685 36674\n13648 15606\n6248 36178\n12864 16103\n6609 9695\n18612 36872\n16769 45605\n16786 28602\n10129 24080\n5124 27343\n32060 47760\n6802 38919\n17819 22207\n14145 24307\n15941 28941\n46341 48031\n8132 47487\n30891 31589\n7147 10861\n1944 19197\n1698 11227\n18840 26444\n30449 35028\n19752 25118\n9978 27799\n22564 43426\n36067 47690\n10831 43720\n3226 45346\n13790 14500\n16614 37356\n4658 7944\n12826 46145\n44063 48591\n7952 30048\n8793 10539\n42651 44205\n14956 39923\n19008 37488\n9280 44525\n1511 39224\n18103 19929\n10981 28079\n15795 39456\n25438 35833\n7790 11788\n44594 47070\n24648 42235\n19025 37563\n6488 42713\n24330 38995\n18912 37422\n6959 15594\n30780 43337\n13658 42703\n1400 45934\n3021 16304\n30276 31569\n14549 33407\n14506 22904\n24041 45508\n26 10944\n7401 25681\n11399 14947\n22798 37585\n17910 19180\n23881 47709\n36557 46138\n6047 27315\n4736 8002\n36048 36381\n14276 44792\n11981 20385\n19366 29264\n8198 19172\n2098 47973\n23690 26531\n23206 26135\n21840 30728\n7415 33031\n45506 46270\n4744 40844\n28220 36011\n4003 27291\n7036 31767\n2894 37422\n31512 46403\n30116 42199\n26451 35210\n25140 31407\n12205 12650\n5012 48018\n7566 28703\n11500 16236\n18436 29824\n10356 31468\n4032 38998\n20603 38323\n1010 45781\n14821 27757\n9247 39473\n21639 26635\n27721 47378\n1157 35752\n34341 48674\n25935 40647\n17224 41232\n9672 16278\n12222 32243\n30352 42691\n29606 44611\n13621 44628\n13889 25031\n18763 22398\n23869 44285\n19816 33361\n42179 46831\n3492 42410\n27514 31716\n22306 35019\n9136 10325\n7464 45290\n8485 31799\n9562 11634\n22871 34494\n30321 32268\n1894 46984\n44897 47666\n34500 37396\n17390 39120\n4791 44132\n23544 27870\n1242 41744\n37853 43582\n6448 29145\n2645 3243\n33264 35351\n17401 46662\n14891 33218\n34624 43492\n14091 26071\n20171 24828\n34249 44918\n34281 39080\n10956 11581\n54 41954\n11554 42237\n17817 40400\n13014 40933\n9690 20406\n905 34800\n587 14275\n5496 20930\n17091 42797\n15925 42585\n32905 40495\n15616 27754\n14245 24197\n15441 48502\n28955 44441\n10842 12429\n3072 9041\n12648 27948\n24721 39319\n28233 28666\n23290 35413\n34422 45995\n4748 19319\n19674 37697\n6373 37608\n14491 24349\n39265 48021\n32742 38332\n8326 27638\n1698 3491\n907 47652\n253 16313\n7953 40781\n16429 33297\n36046 36819\n39084 47611\n11975 16881\n1402 3969\n15597 22804\n28772 36024\n12450 40873\n40622 48134\n21289 27565\n477 18273\n9877 22049\n4002 42580\n35447 45941\n2431 46804\n10829 34621\n9480 34953\n2954 21206\n3283 31995\n6873 45594\n41932 46674\n21215 31151\n526 40683\n26261 39315\n22901 35361\n17051 35461\n4329 42905\n14573 16746\n34757 43126\n5254 32851\n24155 38427\n26317 30005\n22130 40049\n692 1920\n3434 24883\n19054 37341\n15590 38919\n10217 12474\n25813 37002\n33972 37893\n16584 38612\n29348 45870\n16534 32301\n3287 40259\n3874 32951\n13999 14230\n27263 30946\n22304 39808\n7150 11681\n8915 17082\n20171 25846\n22724 39273\n24112 45003\n12187 35902\n11521 28714\n13331 32226\n20577 37286\n2111 27427\n22094 22205\n9980 24636\n7589 18068\n20261 38619\n21593 41234\n18506 37789\n8297 17526\n23319 48456\n10493 17300\n2094 4946\n6778 18915\n16396 18857\n4724 47894\n7787 19809\n5631 10811\n5301 12465\n22827 28637\n10429 11068\n11537 41171\n21380 33365\n22857 30337\n2421 35675\n13471 23179\n2640 38997\n2305 9316\n16196 23630\n11412 35623\n13706 42763\n23927 24430\n6601 39724\n13694 35229\n11306 41695\n14597 39886\n1670 16262\n23266 40696\n5372 39577\n21396 25505\n41883 44685\n987 34844\n12724 27417\n24262 39978\n30625 38054\n7136 42442\n2054 19967\n28351 32707\n10691 22294\n21740 34684\n27622 37320\n233 37271\n10106 40407\n13612 39610\n32880 45321\n36020 48140\n38308 42237\n7642 21115\n24833 27219\n31349 32662\n35798 47200\n12211 37863\n14403 17513\n18758 44105\n35960 43091\n32029 44763\n6777 13921\n1555 26030\n5921 34960\n2250 35772\n10796 41502\n14990 16902\n4043 16305\n19675 41602\n2862 26052\n3900 10636\n3464 25737\n24176 41118\n29416 33559\n11904 43204\n25351 29461\n13702 16283\n39397 40885\n6261 36841\n12034 17220\n14320 31339\n3725 9696\n12102 18444\n31787 47539\n20087 24209\n32513 39922\n6937 22706\n42357 43149\n18748 18997\n1790 10356\n11110 21489\n22481 23362\n3232 18361\n3168 7214\n11409 18813\n14076 18243\n28827 29021\n8042 8764\n4705 7296\n41754 46561\n18705 46253\n7618 31295\n9196 23848\n36647 43565\n15894 41981\n34214 46963\n8811 27187\n10936 37547\n17283 20879\n4815 28558\n13380 15931\n8106 38616\n13653 18583\n16282 24993\n1279 39363\n27136 46057\n35998 40878\n33153 45297\n4373 42082\n3850 47310\n33872 39789\n13019 36212\n31353 48183\n17866 30668\n271 48057\n26032 28732\n22087 38679\n10477 32926\n14266 46675\n18480 33755\n2644 39231\n9585 23042\n14271 22063\n2508 36433\n26493 36564\n5604 14700\n14079 35405\n11907 15156\n5384 17573\n30559 36407\n19929 30129\n20428 40429\n1622 2789\n10691 27616\n7089 21384\n22514 34863\n24730 45053\n38328 46866\n11466 21175\n6326 19333\n17564 30007\n9060 40493\n29235 44711\n31130 40116\n19091 25840\n22901 26087\n5529 41185\n29072 37069\n30594 39651\n12955 14171\n18244 35115\n16135 34035\n12331 38547\n1820 39576\n799 16064\n1964 32965\n21727 30328\n4611 44055\n16394 17025\n29079 42530\n4683 31795\n2847 11118\n20542 29048\n31975 39416\n19337 42766\n35016 41405\n10132 47473\n15345 19272\n14016 38334\n882 18876\n4503 46931\n19407 29911\n29515 48134\n31494 34732\n3455 38213\n5406 40837\n24732 48393\n15281 45798\n1043 48143\n17471 17975\n20113 28216\n4288 17687\n14950 48661\n8627 19647\n16284 40184\n15569 26203\n24630 30235\n16894 30388\n2091 16855\n21039 43412\n19520 21829\n24022 30364\n18328 34965\n23082 42668\n36967 42541\n18934 35525\n22190 47114\n46315 46832\n25761 45830\n13073 34969\n1095 40670\n31458 36745\n12426 16119\n25816 34883\n29650 31251\n36867 37267\n10942 29794\n6998 18422\n10102 29927\n7583 16109\n8190 26247\n9240 41346\n5740 35508\n4157 36005\n3828 32518\n9842 15249\n4514 16556\n19661 21190\n4628 32646\n39700 40247\n613 30945\n11586 25933\n32678 44469\n8917 26198\n12971 48372\n16648 39531\n42754 43048\n47662 47778\n21421 48369\n21407 39975\n18374 33306\n1392 23130\n11044 46764\n9238 25987\n16405 21406\n33040 47153\n22395 42072\n9953 10672\n33990 43812\n7944 15770\n2153 16821\n16484 27231\n43275 45324\n3435 24224\n16328 37770\n13833 34301\n23985 43623\n12255 15691\n34223 40898\n5999 23854\n9099 29656\n22777 46185\n5317 25579\n27783 30037\n17057 32068\n36545 43923\n26177 39525\n2051 36437\n14036 35300\n30195 38686\n35028 35707\n4130 35196\n20229 30522\n40158 40688\n11673 31720\n25979 39210\n30397 42526\n13469 27181\n17341 46656\n5045 37699\n19982 31518\n16497 43715\n31074 44860\n6232 48347\n33818 43639\n17805 30487\n871 41077\n18074 20593\n22086 47006\n24327 34440\n2273 29276\n21734 22569\n12381 42042\n35020 43480\n23980 28122\n17638 20407\n31807 34280\n8925 33066\n19388 28345\n27304 42505\n32314 36415\n20929 33408\n28894 29948\n4506 47355\n28457 43732\n10246 36521\n1176 33845\n8431 46172\n29814 34308\n17148 44959\n24761 35088\n14051 46379\n20897 31822\n40780 42476\n14704 35497\n1194 46553\n37360 46461\n3769 8975\n21038 44918\n12842 33402\n17705 21767\n7563 47930\n1220 9843\n22069 48050\n25220 30052\n5933 43864\n18282 32777\n9641 21694\n31670 48277\n24830 28709\n16653 37093\n28363 36446\n6848 20847\n18762 26622\n12653 39421\n11098 20533\n13700 21922\n2674 15751\n31519 36810\n11892 21564\n9758 27056\n11540 30912\n18757 35139\n12249 38679\n5470 46050\n11424 44111\n25060 45519\n10821 25833\n14974 36948\n5913 34107\n20781 35565\n16211 40854\n43089 48679\n11274 31697\n15849 27310\n11992 31003\n8146 23351\n30173 44479\n31211 34351\n4757 28644\n14070 21465\n10132 35892\n7503 31485\n15515 45186\n7528 31514\n38535 47758\n8165 13397\n19995 33961\n10149 33828\n8123 9177\n6351 35128\n34714 43947\n11222 15139\n18310 26802\n25048 47661\n18844 23548\n29189 46038\n26790 29839\n6578 31709\n36373 44546\n21964 46664\n14733 30765\n4927 42771\n42084 46708\n26187 36218\n4850 29021\n2971 9307\n7730 40186\n36882 45335\n19627 25346\n6234 38127\n17216 23385\n23228 47721\n9733 14870\n11697 17719\n34095 37723\n1114 30356\n17905 33202\n21997 47325\n17939 32247\n21943 28960\n34171 46991\n5537 16885\n497 35945\n16322 39947\n44280 45451\n5931 31267\n31053 44970\n39867 44092\n5794 35143\n38792 41534\n9506 44608\n650 43710\n23448 46507\n12427 31847\n5030 5840\n24609 40259\n21479 28744\n331 42418\n13728 41454\n24754 38552\n12178 36396\n18434 46200\n26142 36470\n21903 37767\n41849 46450\n5984 14734\n33788 35424\n11051 20958\n10257 18645\n7277 25607\n15317 42660\n20335 40752\n16314 45389\n24340 24452\n10301 39159\n34250 45927\n29790 47104\n6089 32368\n2436 11953\n10528 34127\n1246 36710\n35339 37012\n4387 34228\n21280 26499\n35682 39525\n12154 18915\n42142 45179\n22660 42836\n787 24789\n8647 25287\n12893 16825\n21908 33255\n7616 24640\n17733 28360\n26377 44264\n5741 9518\n5912 43250\n11321 43798\n8258 9829\n38036 48397\n5704 32851\n9674 40615\n26186 26737\n2282 44320\n25011 34701\n25068 26511\n2684 19537\n8188 11425\n655 26802\n4788 10367\n661 28882\n21433 28774\n12486 15314\n19566 30470\n16685 32328\n42275 45441\n25418 42167\n10602 10687\n18826 40079\n1277 22921\n19820 34619\n37883 42210\n17796 31815\n10413 40039\n3923 23018\n142 7494\n20381 25381\n43328 44614\n26099 38782\n34189 41102\n36234 38513\n5126 47617\n27011 33444\n2436 37491\n32376 36087\n6856 26084\n17834 30146\n24223 44533\n23268 32120\n18845 23833\n32101 40699\n39219 41444\n14959 35318\n34182 42906\n1539 6090\n12607 21615\n15692 48401\n25668 42205\n7230 40352\n7918 40196\n21419 41809\n13478 20819\n2925 10029\n18686 29147\n39761 47048\n34239 45671\n22511 44008\n28739 41601\n22168 48661\n19993 37017\n35706 38161\n32508 42350\n15861 36808\n6285 44077\n1617 24846\n31269 37391\n14053 44308\n3080 14923\n7719 28777\n122 5558\n4523 32452\n32575 44018\n31118 43220\n14157 21219\n15374 16155\n11889 39918\n11028 40996\n10138 13845\n2574 21629\n34231 38849\n31537 33236\n11216 40181\n7017 17389\n9869 35115\n2781 30585\n9877 21537\n1707 40052\n9489 12484\n20799 35536\n33779 48019\n42689 44909\n14102 18158\n21767 29811\n6984 31899\n1364 11896\n7148 42405\n24823 45011\n6894 19748\n5367 6251\n19316 34665\n18802 37971\n11344 36639\n14004 43453\n27158 45846\n39694 42856\n3927 38423\n1112 12404\n3453 32536\n8450 42745\n13882 42372\n14647 27241\n11806 42784\n8523 16840\n30050 48232\n1718 19479\n9555 21084\n26941 41366\n1390 45310\n7105 25605\n25692 45493\n5147 8136\n17086 22558\n42187 42807\n15105 34837\n13955 19581\n13859 45589\n8577 11616\n8853 11080\n27247 48565\n16190 45576\n15031 32446\n14967 29579\n13709 40031\n33402 43574\n480 34390\n7410 13082\n862 21262\n8346 47960\n5066 17524\n506 19594\n10057 32190\n25559 47310\n38746 47257\n14577 43265\n7954 20779\n16519 40053\n24534 40526\n33829 36458\n24850 28422\n1303 10909\n4472 22266\n8342 19569\n234 19842\n30896 41394\n20401 42871\n9487 15395\n22678 28312\n22441 32968\n30812 46247\n12576 19983\n9421 48607\n20932 27996\n1841 26761\n9644 37276\n28807 42475\n47683 48567\n32780 37035\n601 14307\n1013 48460\n5336 41749\n27672 36504\n2354 30799\n3459 5842\n6037 37137\n29588 46207\n34433 48216\n31275 40715\n28939 34934\n19559 27579\n4060 31376\n14908 39680\n17767 41764\n9659 44969\n26201 45984\n8923 26080\n3841 29261\n14472 32067\n1540 29576\n30976 35032\n8801 33318\n35194 44298\n21483 40636\n7101 39601\n13295 46124\n1692 20950\n7438 10515\n20745 29435\n26487 41990\n3824 40825\n11747 18788\n19601 25131\n1900 31300\n34112 40178\n16712 17032\n13476 44667\n20208 33750\n9316 38558\n7335 45927\n16797 41518\n2786 35747\n8945 29510\n17245 26953\n17654 25326\n41034 47735\n669 24067\n6386 24435\n5669 43984\n15598 26740\n13638 39875\n10711 44686\n8978 47204\n35156 40486\n9543 19602\n13715 30985\n46292 47256\n6278 18529\n25194 25579\n21621 34318\n1253 29398\n13953 40748\n753 46116\n9987 15534\n3915 23124\n2643 37148\n8900 13460\n15785 19549\n35651 38186\n3466 12145\n3759 4003\n12346 23543\n309 14140\n30650 38363\n27084 47290\n3927 26709\n1660 38832\n9120 37137\n28036 28870\n34557 40141\n11086 48274\n46316 48427\n35867 44883\n13848 25226\n6006 25312\n9327 37300\n5835 30640\n2121 25300\n29355 45515\n6903 24774\n16632 21328\n36477 41200\n20952 32476\n34756 37695\n15430 36967\n1045 9341\n11874 26892\n32221 42425\n1875 38424\n7051 46373\n103 22335\n34164 40963\n13356 17050\n2952 31197\n471 29153\n41718 43702\n18202 20508\n14455 40728\n8569 9639\n15766 47342\n26759 46981\n34830 39526\n45533 48007\n12167 34184\n11416 16848\n11561 32865\n29785 44044\n5655 43917\n37718 39529\n20877 38894\n20470 39675\n17452 32719\n17246 39200\n34323 39505\n472 5149\n35233 37200\n39614 40297\n17267 42823\n7487 47644\n28531 38360\n4753 26561\n14205 28683\n4590 8894\n15463 16528\n8083 16050\n14012 15842\n7301 41098\n22232 32373\n3643 31341\n14724 15040\n2216 22178\n17670 41231\n25834 29945\n11054 38264\n4233 42350\n24577 41259\n39018 40149\n36297 40427\n34197 42664\n9383 18422\n15128 43371\n11867 12025\n30638 41921\n35677 40315\n8603 22556\n21170 40301\n20218 27356\n20569 31738\n27060 47047\n24302 41610\n30994 34097\n26221 41513\n15865 19272\n7584 19155\n21819 31840\n6303 26108\n14144 30055\n18429 47198\n6707 47133\n27228 44296\n19850 42240\n9635 24305\n27555 32012\n5510 41129\n40598 41414\n2788 20861\n7776 42076\n9987 44218\n6934 20554\n9085 22022\n30377 45066\n233 20071\n9358 13628\n25653 33716\n25209 32715\n16328 27702\n32453 42814\n28 12458\n33970 43472\n22357 29270\n8271 22704\n24828 35363\n12247 30892\n16434 22216\n18089 31485\n26758 48466\n17116 46457\n17678 22759\n14571 35043\n9193 27525\n24811 45226\n29992 31133\n12398 46876\n15703 38317\n5091 42012\n10569 12498\n12133 20685\n26930 48221\n4353 33732\n5041 47580\n13236 32264\n13557 15504\n35171 47100\n39627 44810\n16051 45814\n3699 17109\n3451 26971\n117 32854\n11929 33006\n12488 31222\n32105 45094\n11643 13925\n7738 41948\n27866 29228\n38431 39927\n25665 33386\n14385 35820\n18182 44922\n18904 44859\n13469 24891\n3672 44110\n34239 38302\n2870 24770\n13122 43614\n17617 44145\n280 43363\n9338 42408\n33820 48518\n19702 26302\n6284 17657\n31718 32508\n19816 26210\n23505 37327\n33317 44114\n1207 40862\n40291 40419\n110 9225\n6297 48564\n11657 37110\n17383 40463\n430 28142\n2409 29209\n24857 40088\n27745 42302\n13878 27711\n1039 34768\n11678 25704\n9539 29028\n21280 30181\n34473 34787\n16855 41403\n6511 24866\n2415 11985\n6815 27377\n34558 35515\n13512 32674\n220 40074\n12555 16136\n10185 43713\n34609 43812\n14037 44286\n16423 24524\n638 35175\n42732 48491\n11490 48421\n17964 33282\n10959 26121\n5463 29320\n25886 29627\n1110 16590\n3713 46838\n41305 45111\n2529 7706\n38719 38858\n1051 36243\n29873 33881\n18888 28182\n1882 8252\n8040 9322\n28938 38961\n1712 41154\n13550 36973\n16939 24298\n8107 41497\n27 43424\n28021 45783\n9562 43948\n10680 22227\n2365 47619\n16115 36857\n2759 7206\n11339 25582\n2161 5487\n45588 47478\n28202 28745\n15077 23587\n12254 16993\n7688 13577\n10878 26706\n6989 13115\n4 26811\n36827 41794\n13918 44732\n158 28868\n8966 40031\n3103 24919\n2923 6218\n35215 39333\n5359 41919\n21106 34378\n30978 40929\n12060 14665\n32769 37976\n23895 38572\n3753 45227\n5498 44857\n18726 27420\n9328 23232\n36814 46276\n4728 28924\n30181 39746\n1846 27383\n233 7944\n10391 28251\n5843 31465\n4965 5578\n1764 36653\n2178 44746\n37823 45692\n10964 17240\n39190 39298\n1954 22412\n12694 15472\n1685 33417\n16426 20401\n9755 11637\n16976 36508\n2354 8726\n17980 19355\n15859 47043\n24931 26251\n6246 34312\n3595 40689\n22506 43275\n15454 36731\n164 39551\n4399 18067\n19462 31799\n14998 33954\n11673 23965\n21916 45400\n4864 17955\n2666 23279\n19727 40650\n37842 46051\n15593 16040\n1059 39067\n39609 40444\n28858 30240\n37944 41597\n2331 20242\n17145 27530\n10508 30190\n34619 46674\n10585 20795\n8466 27217\n841 8632\n22424 39623\n21819 23382\n12220 15821\n30884 38164\n15628 20458\n11758 28892\n2929 32203\n5582 31460\n3948 47581\n14893 15597\n4743 19331\n17689 41766\n38867 44345\n5588 17916\n8562 23776\n23724 41109\n16987 41388\n5598 47588\n26904 32602\n16718 39910\n11248 39901\n7121 42305\n20046 39355\n5846 6544\n30871 36981\n19527 27740\n44095 46507\n1441 38304\n5651 41129\n29423 33014\n9134 28264\n32865 39438\n7528 39586\n40375 42559\n12068 16177\n6759 44670\n26856 41544\n3898 45185\n14404 41501\n30253 38148\n31761 39200\n3857 24830\n2817 45218\n16458 22861\n6284 32041\n1345 40590\n28715 45271\n1946 42759\n16348 26235\n10826 46004\n11710 43905\n20072 34537\n14421 43593\n6089 35153\n33527 48166\n13531 23952\n28558 32622\n12887 31792\n35242 38989\n15238 19068\n44603 46694\n3095 37335\n4660 5643\n2323 25118\n5610 13690\n12968 48275\n16959 24562\n868 5611\n27992 40514\n32495 48214\n27090 30403\n8918 29055\n39711 44535\n28743 33966\n12044 46925\n15125 16098\n1060 40435\n3866 25616\n13588 34076\n18961 33472\n875 24840\n21477 29278\n6842 16241\n15905 31790\n16104 19473\n30822 47717\n28626 37492\n18235 41165\n660 14757\n8876 36989\n1147 26221\n7821 23419\n13777 36374\n23774 33572\n17492 47459\n2076 40171\n16315 30116\n18071 30007\n5065 37681\n33145 42431\n14217 41394\n173 17596\n18386 30822\n15622 44928\n12294 41488\n3249 10948\n15525 17949\n22212 24385\n26452 31869\n13048 25527\n16819 46666\n32014 33746\n25183 25219\n30680 30733\n3900 16316\n6058 31586\n14527 27238\n8646 35369\n16742 25688\n2383 11153\n14706 40496\n8066 25033\n1057 41376\n4300 20740\n13960 27786\n22992 41996\n27516 46283\n17085 22829\n22505 41472\n6653 18695\n14076 37735\n9033 34180\n17530 48487\n20779 23429\n3715 19497\n1284 44452\n7650 39399\n2516 31356\n14887 41652\n15404 47329\n4590 42706\n23287 40530\n34821 42625\n15442 24259\n8897 28224\n26536 43209\n9677 13621\n14410 21333\n7604 14229\n16426 21676\n2552 27736\n32024 36349\n34748 38097\n9412 21800\n15355 41544\n11866 19077\n22469 42315\n17809 37113\n22782 45542\n2942 32033\n14534 40039\n20267 30072\n5508 30740\n25990 43128\n9131 16841\n20757 37944\n22326 26500\n13232 48336\n25971 31123\n32122 43328\n20193 43904\n21098 37184\n27831 36449\n34944 43999\n3056 41935\n34981 37077\n5936 26855\n22649 42125\n6210 10278\n4260 21491\n42163 47825\n24136 36015\n7548 29842\n29530 43343\n25665 46140\n3096 45178\n9093 43433\n1697 43472\n11964 48239\n32576 41687\n9334 10705\n13001 26682\n4649 14899\n15420 30332\n6467 19323\n1603 37993\n23563 30822\n12688 23141\n21082 25596\n9276 40945\n20328 23147\n15722 40867\n9449 37608\n2040 12187\n41239 42995\n24663 41045\n19400 22216\n2435 43318\n16291 26423\n20672 47201\n1754 39850\n18634 18756\n10682 20754\n27564 37231\n9382 18769\n4592 41966\n31705 36595\n9560 24552\n7172 9572\n13316 18828\n23984 43222\n7837 9108\n5241 31963\n18087 29212\n18812 26600\n13336 20022\n14342 32571\n32549 33461\n22731 46673\n14904 28196\n6392 47077\n30029 38205\n13461 43360\n19285 36569\n2655 48090\n29858 43862\n20910 33534\n37755 45055\n300 41063\n10719 34896\n22084 40953\n20943 27265\n11445 30079\n9071 44585\n2146 28201\n19228 45327\n33255 36689\n7550 40937\n13238 35815\n2261 12660\n19623 41117\n3514 28712\n21266 37647\n2115 17570\n8538 10830\n1662 2516\n10059 25396\n5019 46053\n25775 32565\n21117 23077\n19107 34499\n3572 22263\n28931 39420\n5249 21578\n146 38023\n36976 40410\n11733 27706\n17572 27054\n2433 9418\n5147 34747\n18760 39504\n27935 39199\n3751 33014\n6886 13012\n7194 33558\n2951 43245\n2477 4627\n27776 41176\n14197 14301\n17330 45131\n17600 22503\n2748 7230\n3195 43909\n5842 17279\n21766 31805\n6012 24562\n29785 45033\n2145 14557\n11627 14856\n11161 37994\n41093 45653\n3631 5216\n30000 30229\n6808 32646\n7397 41533\n27913 39863\n28319 46673\n10612 26044\n66 33241\n3708 28623\n24578 33332\n3932 14901\n17801 43548\n4188 25841\n31662 36991\n8242 41153\n2436 10648\n1155 32645\n28671 34494\n42796 45397\n5108 39979\n4481 16114\n16344 22451\n5760 23726\n21678 47650\n30113 39586\n6456 13259\n9243 15561\n18505 32448\n22538 32332\n15127 26824\n47124 48122\n3668 32560\n28025 28960\n21257 32363\n26272 47227\n15830 42172\n38196 46180\n40903 48518\n8595 10141\n2156 40632\n5900 9023\n10369 17033\n8585 36526\n18241 46223\n41073 46209\n8873 12937\n19612 34024\n8669 41953\n4077 11294\n24967 42203\n21762 48542\n10069 21693\n1771 26268\n3270 45881\n2741 37973\n17655 38968\n356 43054\n16891 40895\n4229 44149\n14437 22796\n4834 32521\n1178 12412\n34312 41104\n2700 31332\n2285 37998\n6873 38457\n29565 41584\n14914 26554\n31409 41648\n1102 8408\n6001 6834\n21991 32165\n6301 24953\n26468 29840\n31194 32178\n16039 47543\n35947 48432\n25983 34578\n19108 46789\n18149 31001\n3078 14927\n3569 8916\n27102 45594\n2255 8836\n4006 19080\n15703 35162\n16561 18679\n37366 42482\n8204 12318\n6517 26008\n27442 42804\n15803 32337\n5181 33807\n23004 35239\n725 41939\n31926 42168\n4990 34866\n1702 6521\n283 21346\n10152 13974\n1412 6899\n25365 44155\n370 28837\n4382 6971\n24615 45339\n24082 28145\n12076 41052\n12993 42308\n6738 43670\n14279 29918\n23299 29059\n1301 24416\n24348 35324\n18940 27668\n3662 17305\n8428 20012\n43539 47169\n17626 31544\n16546 18922\n2360 8566\n24754 30188\n40754 42618\n38163 47603\n1273 9189\n19372 29796\n6914 36314\n19698 39704\n46019 46181\n2390 12514\n20551 43920\n20285 22537\n9341 46538\n5851 9880\n5664 19978\n13549 36743\n10378 12971\n8897 19824\n3839 23701\n14749 31269\n41030 45211\n45392 45659\n33730 35656\n1884 12594\n5522 47094\n19941 32380\n32045 34513\n23885 45303\n24048 24534\n25396 25859\n7294 41021\n4186 33854\n23214 33984\n23089 26269\n18477 38799\n7682 25972\n3214 23881\n22500 37712\n30694 46548\n11346 27372\n27027 45655\n2375 36375\n17359 47860\n24759 32447\n1881 41727\n31354 31414\n30651 48563\n45224 48501\n34245 40365\n10206 41804\n25821 32373\n9393 43885\n16128 18952\n17023 18980\n25385 40814\n41206 47983\n13064 31049\n26202 32016\n12151 35268\n22653 47908\n3352 33591\n9235 41887\n7381 46580\n34653 48327\n6491 46871\n45103 46858\n33469 36808\n2953 44533\n22592 38420\n8199 25911\n19057 44523\n25735 27602\n20051 34731\n3922 18184\n15365 30392\n27956 48202\n17839 22578\n2780 38274\n9590 40603\n6023 24315\n2033 41251\n37518 38373\n1444 47315\n231 34799\n25363 44575\n9082 26345\n5156 23136\n4359 32435\n11023 41131\n33236 45370\n28156 42768\n11149 28864\n12149 44325\n9805 45444\n30463 48007\n29904 38686\n8426 14899\n8070 8071\n32026 42772\n39960 48627\n23933 28369\n3683 28489\n4573 48567\n21046 31788\n41686 45123\n12032 35806\n39094 39176\n11177 33137\n21550 38060\n7493 48184\n10459 32048\n11246 14791\n24796 37024\n32580 45577\n22742 45917\n40582 46912\n26176 37598\n20778 27221\n5031 43108\n3486 40055\n13796 29654\n3159 16629\n4460 23292\n22621 34458\n11848 27600\n25581 31527\n9794 34356\n11774 37910\n32635 48675\n1851 21104\n3886 33917\n13509 34754\n1990 19486\n14509 25570\n38936 44702\n22203 43976\n45966 46113\n2623 24822\n37392 37839\n6059 41491\n9106 19047\n8551 31248\n34700 39130\n11090 24546\n944 11072\n26207 48512\n34326 37427\n25935 45255\n18263 23689\n17993 21925\n1426 47152\n23031 33831\n11400 33270\n27293 46968\n35696 36443\n14315 41823\n40180 45932\n25491 35405\n19470 42459\n3009 32070\n1480 36101\n6854 37250\n15287 44164\n12867 24736\n30514 36013\n2811 19434\n2466 20700\n200 46287\n17074 39604\n13518 28788\n27102 34799\n35219 46296\n24979 42916\n936 43641\n4124 19842\n12302 29351\n36879 40719\n36246 38029\n32541 36454\n15287 24904\n12712 29838\n45492 48312\n18316 47512\n42752 45064\n39683 44764\n30631 47725\n551 43258\n9497 40368\n21780 24261\n1863 8885\n26174 27401\n19799 44550\n18 25980\n4977 17773\n14930 17434\n13829 43061\n32940 45021\n23802 46940\n19555 31662\n13595 15414\n29968 32586\n19367 40320\n10275 16011\n815 13727\n9351 43356\n7868 8305\n18338 41553\n29168 48592\n24611 44214\n22190 26438\n1689 4617\n6777 20209\n71 11450\n1514 42688\n5359 14887\n7884 40186\n407 44366\n11363 36760\n10729 42088\n1247 48328\n28493 40853\n25834 47210\n42469 48671\n4735 6879\n14750 29048\n12132 18293\n13237 21525\n21490 45927\n28988 40519\n6526 9629\n2691 10194\n2514 45076\n36494 46320\n12423 44213\n4931 24303\n40709 42953\n9707 20063\n9743 22606\n10397 32131\n290 3361\n23061 26753\n3318 8900\n43494 45090\n28008 29988\n12983 25873\n20609 36089\n34453 48349\n9327 29892\n12291 41838\n14026 41300\n7717 44079\n24554 35265\n3801 16239\n27966 36740\n5636 26678\n16301 24180\n18851 39798\n35386 44392\n30888 43372\n4485 39672\n21178 35567\n34093 46651\n4849 17935\n19191 38831\n28604 44045\n23868 37395\n6889 28460\n10119 16473\n10465 29568\n14586 47567\n9032 9838\n23632 46753\n13949 21684\n11758 22098\n10671 34354\n36762 42726\n26932 39803\n27959 30146\n3733 28778\n17127 31221\n6116 46832\n4547 26790\n6593 10851\n8997 22750\n19349 45900\n18290 26571\n506 15239\n24582 27205\n1814 3902\n32834 36576\n13155 20511\n23935 42949\n30220 42034\n9933 24090\n36545 46071\n27542 45270\n32090 44662\n26737 31615\n44529 47706\n25466 31338\n14508 36089\n23374 45145\n15976 48194\n7694 14301\n30054 31921\n4323 26116\n14399 38090\n18628 18801\n9850 21591\n29418 44966\n8290 33669\n9608 18572\n17805 19164\n4906 20805\n18841 29453\n29801 31812\n37158 39128\n27608 35428\n38941 43609\n32076 33413\n26975 32887\n7953 8820\n44304 46894\n4511 27448\n229 38169\n21101 34663\n18185 35282\n14410 25249\n13730 30241\n7233 23630\n1668 3270\n9211 25496\n43517 47727\n22830 45786\n2094 7864\n24380 45465\n26705 42548\n8559 31604\n11421 36378\n1495 13857\n14782 28773\n17731 37394\n24686 45211\n18895 31987\n19229 37997\n2143 4042\n19074 34222\n10603 42838\n14720 25820\n16091 33117\n9221 37678\n26734 39781\n8060 40083\n7531 12713\n3093 38663\n21783 40058\n20524 40953\n36676 45665\n28599 29101\n30788 34153\n13101 18013\n32455 38509\n25915 33483\n10788 45431\n32327 45565\n6792 44459\n4168 23497\n24241 39031\n906 37870\n5727 13449\n22652 47339\n39049 45003\n2747 24839\n34857 44446\n36467 46850\n8118 19622\n20566 38441\n29621 45143\n21640 40941\n9139 12914\n20571 35100\n6347 44828\n12043 22846\n2868 25413\n42431 47112\n5237 26975\n3728 32837\n8661 13226\n31 32110\n10541 22978\n4856 32640\n15343 44567\n9227 39346\n25893 38718\n34777 37711\n24791 34330\n15870 38944\n1857 24411\n24837 35974\n2561 34286\n14464 17346\n5197 13834\n1934 8080\n17989 42640\n19556 46248\n16017 33564\n8337 13268\n32469 43653\n28079 30384\n13373 21817\n15809 34986\n44940 48546\n23796 29370\n12400 20028\n7263 29049\n33100 44255\n12476 27313\n16116 35040\n19514 39427\n23497 46716\n12329 29335\n4506 7547\n11397 31454\n38254 39882\n11194 14104\n13029 15804\n30396 40632\n1595 36416\n12190 34077\n21173 37064\n20496 28024\n18123 29867\n12760 28081\n19581 28946\n4850 12139\n29740 39199\n23693 36182\n562 5613\n22918 47037\n18563 37328\n4399 31867\n3792 24274\n7540 21044\n24469 36965\n35491 37917\n24029 31854\n21753 24216\n9970 25011\n9951 45025\n11055 22449\n21878 22400\n2559 3702\n2003 26787\n18655 35065\n30723 39612\n9266 16711\n28377 43608\n10318 30673\n27193 28534\n6186 32157\n24139 27051\n15949 28595\n12844 29696\n2664 12078\n7089 43517\n4993 7871\n7193 44601\n5583 43700\n12088 30800\n24290 30347\n12915 20916\n25070 27967\n14325 26227\n18074 46568\n20106 45732\n20749 32004\n26380 45964\n11568 40034\n11283 45724\n2381 39143\n24407 46481\n9668 22180\n15394 37024\n23230 44776\n8533 25502\n30940 39801\n9550 14662\n23494 45773\n17326 28651\n22869 39328\n3182 21701\n5772 35047\n4661 34866\n34231 40428\n32216 46677\n16653 44847\n5196 24172\n35066 41021\n29647 37911\n3400 31012\n27707 32307\n22523 40733\n7740 41188\n7924 38878\n30328 44279\n10864 19472\n37135 39785\n26346 44858\n6228 33018\n13571 33824\n19936 31899\n8186 28083\n40923 41828\n38883 45818\n9152 46045\n7598 17919\n679 32968\n19550 41539\n27520 32284\n10132 19140\n6308 23127\n27328 29408\n27362 38347\n24794 39062\n79 19002\n20487 38100\n12215 34034\n29217 31793\n1286 47489\n24408 45181\n4794 42631\n19657 26986\n29903 45474\n1143 37119\n28878 30090\n18897 34383\n8463 28181\n19639 27781\n32102 46697\n46422 47794\n1216 12204\n2591 29454\n1176 4940\n7917 31771\n17003 19254\n22318 45758\n26794 30675\n7875 17966\n3565 7113\n25511 45063\n46278 46475\n15331 35127\n6169 45682\n11565 34452\n16123 26782\n8477 34531\n11296 12259\n2875 30530\n3968 41970\n8617 41738\n8173 39388\n19875 24519\n33901 44902\n255 31573\n18261 32753\n5188 45044\n5360 40614\n7351 24152\n15084 24362\n5490 11752\n4894 30276\n8099 39499\n27376 29137\n29836 43484\n5791 29966\n4886 11901\n27736 36888\n31477 44785\n17732 26271\n11260 36434\n3545 39238\n14919 44513\n44399 45541\n14117 24163\n12944 48058\n6715 36794\n5435 39659\n15401 44710\n20775 29951\n27440 47962\n27098 43350\n31026 33774\n6355 25096\n32165 32973\n34224 41027\n21078 39708\n13253 23225\n14583 26891\n14641 47745\n19508 36613\n1548 44467\n30741 35487\n26313 43838\n34180 35791\n16240 40338\n28839 31661\n28019 36115\n33289 36935\n994 26498\n35510 37880\n4606 43283\n14972 25304\n27999 39066\n22844 43734\n18874 24389\n13131 17710\n9463 24180\n10413 20311\n1346 35326\n33186 35563\n4089 38181\n9536 47103\n15935 31095\n9709 16615\n22088 40115\n16964 34800\n31231 33890\n26059 39089\n2205 44948\n7150 43085\n9001 31294\n12562 26430\n8382 17053\n39547 46711\n40498 45913\n11902 19349\n30 20275\n6499 15526\n20194 31993\n44321 47597\n13180 14851\n3796 31971\n16458 30931\n33339 45321\n515 8760\n20240 32788\n12298 27025\n33317 35269\n32237 47156\n13274 29203\n25946 27401\n11710 29745\n35347 47294\n1446 11925\n7999 15858\n1231 16359\n42778 46174\n820 10417\n538 29202\n20761 35780\n10163 10311\n39679 42530\n2208 8451\n26734 33535\n23000 31474\n9073 47751\n21041 40011\n39959 41680\n3862 11148\n2667 21849\n4101 35804\n3688 41362\n5880 12189\n31622 44163\n35546 48264\n15158 34256\n5241 38369\n39529 41981\n15384 37000\n7428 14956\n30992 38512\n8358 37062\n21237 48273\n30440 37310\n10024 35216\n16926 29144\n30026 38963\n30665 40110\n22525 41267\n18275 40922\n4507 12113\n41610 47277\n27900 35837\n4688 37487\n11602 15562\n19521 40942\n16418 48543\n3685 32337\n9951 22057\n34675 35205\n22581 29121\n36657 47949\n14237 28201\n15127 21023\n34364 36418\n31043 43500\n26148 37413\n9284 48613\n11286 28111\n15484 22966\n11159 14816\n28045 35912\n6802 20065\n19749 27566\n16336 26878\n15760 33282\n8759 38829\n1359 47183\n5481 39866\n40105 43489\n6216 48236\n28410 38113\n10189 22961\n8481 33850\n2009 38054\n11877 18762\n29954 41049\n23127 40390\n11465 47010\n40345 43432\n6338 40311\n2733 12623\n39452 46186\n8283 29034\n34333 36126\n21231 45245\n8171 10484\n5955 45494\n29918 45359\n11476 25295\n17968 23146\n39514 41288\n1264 7388\n22016 29415\n18568 21279\n32854 36216\n13966 42489\n33347 41680\n37002 42491\n14557 32477\n9836 46216\n18776 36730\n23737 48374\n16931 28787\n10569 32517\n11294 35163\n3344 20541\n8169 45964\n6858 22241\n24076 41435\n9675 21985\n17640 25120\n23881 30655\n8171 30859\n27207 27240\n27412 32462\n26763 27206\n16823 38477\n4446 19344\n23169 33378\n9128 32734\n15711 19091\n21613 43063\n12433 20870\n29345 43875\n874 48617\n25114 42144\n8139 35468\n40275 47589\n14429 15728\n4145 17430\n240 21481\n11989 15629\n17405 40704\n18770 37344\n5002 20576\n21927 45485\n7483 18171\n3337 45463\n10539 25700\n9762 21685\n22939 42894\n19164 35732\n11207 18225\n12650 26077\n11795 35714\n10635 11802\n472 10420\n1013 21206\n1023 16260\n20132 22685\n532 16342\n5303 25962\n13913 25774\n25441 26666\n8055 17302\n27983 28059\n45486 46485\n14964 39419\n18166 42624\n9637 39992\n308 8033\n6539 14805\n10430 23140\n1234 43304\n20632 28274\n6608 21896\n1925 32472\n6297 43294\n5422 22381\n7387 16972\n34389 43150\n22681 36802\n10666 43369\n7644 16835\n15455 16910\n7239 18491\n12081 14939\n23419 29748\n7083 29173\n21212 45697\n17282 46639\n4511 7401\n30 47348\n27698 29342\n10909 21701\n26358 44088\n10367 14915\n22371 48460\n35103 47485\n2066 29687\n6701 17370\n884 42350\n36509 46987\n5527 12401\n36572 38918\n18694 35683\n913 26222\n2314 20545\n2262 33791\n8398 31377\n35797 42963\n21110 23885\n4301 35540\n22395 22485\n31911 48563\n8107 14383\n33281 44912\n4630 18840\n29284 30438\n18454 36607\n1922 48554\n14591 35144\n7678 12935\n3157 21372\n33349 34888\n30398 46492\n6504 43879\n2198 30277\n44090 44227\n8220 39843\n1911 8440\n46 6259\n34342 44163\n13362 17918\n5933 27299\n22245 36594\n4145 21514\n1168 31493\n17343 44320\n15431 16476\n26953 35268\n19993 28596\n30006 38578\n24022 40883\n10298 46076\n240 9041\n10195 35002\n3926 4640\n26166 27022\n45623 48671\n20209 41323\n7117 41135\n24836 25244\n23048 43128\n14242 32264\n13292 38803\n5339 39184\n45455 47158\n24224 26405\n11607 17281\n29471 41701\n19698 42685\n11843 14767\n4948 44299\n8082 26836\n19761 20792\n32081 34762\n44175 45484\n12736 47755\n22930 36916\n29845 47147\n27087 42566\n31253 39918\n2035 14443\n37298 47686\n3914 4388\n16087 21678\n1294 13986\n19986 23298\n34631 44174\n18901 37130\n9503 39125\n24861 27941\n1031 20712\n18793 23036\n19061 31959\n32455 39565\n42329 44700\n4618 9439\n28568 43111\n21118 34045\n6629 39775\n9947 41293\n12491 31604\n12914 41387\n11055 42024\n47533 48481\n1281 35807\n21455 44930\n18939 35535\n12944 17688\n39991 40276\n11203 42212\n25408 42028\n3410 21749\n9816 37363\n4395 24878\n7 17629\n850 37843\n859 30135\n24320 28985\n9518 16117\n30106 39348\n16393 46812\n17998 41708\n24233 40879\n5945 10760\n4308 6918\n24788 42108\n2367 25358\n32646 48501\n15010 46451\n43329 45518\n26705 45716\n12255 31209\n12758 19199\n36366 40486\n31047 33927\n5447 29882\n6151 42863\n12301 17994\n20285 41338\n16472 46958\n22499 37656\n8572 43651\n16460 34294\n3850 42810\n7107 38458\n31549 37170\n29968 48444\n3938 14438\n14801 33742\n7636 38537\n33756 47758\n10963 32410\n29037 39769\n10152 34222\n11124 21663\n6537 34277\n22338 34207\n6877 37901\n27686 34251\n5397 25756\n16139 21708\n10070 47036\n2588 29709\n15503 16353\n8814 25271\n13899 36159\n14535 30401\n6288 12736\n12146 39473\n33467 42292\n22025 39360\n35517 39327\n8315 12400\n15051 38570\n3212 15086\n3861 45245\n27053 33836\n41321 41367\n27842 35723\n16561 19680\n28147 34944\n4941 43932\n32873 35117\n36740 41463\n7921 12209\n4398 11067\n7161 42406\n33725 33769\n8175 33913\n3294 5893\n37661 42142\n13892 35493\n9007 32097\n5635 32970\n21834 35636\n5136 5984\n15116 22166\n15222 36512\n31162 35536\n32458 37117\n10309 17083\n33422 45273\n13825 29887\n8020 26418\n18923 32399\n16413 34604\n8195 30572\n1821 12393\n7219 48365\n5595 45801\n13543 37323\n1270 39047\n19802 24488\n26527 36200\n10005 34763\n7169 34999\n24995 43173\n25878 47846\n7725 44427\n9788 16306\n12246 34499\n15199 40002\n10470 36009\n12945 31452\n2329 18086\n1388 3258\n21373 24089\n13272 13811\n17952 19401\n23157 45600\n17544 45555\n26091 30960\n17479 37233\n22687 38695\n29521 35644\n14552 26201\n9474 46862\n28187 37948\n27941 36757\n3332 12125\n24724 26896\n15234 18562\n23864 35786\n1166 48422\n13760 36974\n30120 37837\n12129 25400\n25386 43455\n31300 38575\n1703 6669\n25113 28187\n20707 25889\n15838 17034\n27486 33464\n12517 38114\n2495 3545\n29996 31915\n22528 40992\n17260 27631\n2785 10500\n14489 46535\n47361 47742\n27788 32263\n7415 32223\n1660 34643\n11420 25809\n14327 35628\n6711 12213\n34614 46100\n30267 33171\n17677 19083\n3418 10474\n4339 19593\n19701 46442\n2683 4334\n4322 24335\n22179 45755\n5822 38792\n6992 37499\n8296 31432\n22643 33231\n18800 33118\n32867 33668\n13330 20039\n35874 42113\n16911 44242\n6095 40109\n6544 38230\n17621 39338\n7404 47246\n19939 27750\n29175 42612\n14338 43353\n428 12900\n2868 43212\n4008 25249\n10623 29678\n546 559\n10999 44393\n19536 47750\n16195 41008\n9699 44835\n6423 18558\n12756 35652\n1809 18921\n12581 42112\n30525 33582\n426 47225\n11764 26894\n36081 38624\n20092 20314\n33085 42215\n11172 38769\n2174 24699\n14593 17699\n322 47810\n32021 32898\n1629 12457\n27483 32704\n18622 31741\n41350 43374\n32812 36718\n1 38027\n4156 41511\n9126 27387\n2570 27008\n21182 41322\n2490 13329\n13231 24737\n634 35627\n26027 28442\n32931 39156\n14697 24382\n3079 21154\n31162 46947\n5487 14101\n19571 47838\n11812 14618\n38218 39861\n10073 15556\n1451 34105\n9554 12244\n18395 22009\n2922 33609\n24915 42684\n30582 31387\n13291 37970\n5666 46039\n31638 40725\n9443 34895\n16512 26170\n2902 7256\n18902 22132\n18442 33867\n1724 41773\n18743 31749\n20020 36320\n2564 19057\n9494 34558\n16790 35397\n3896 17600\n188 12090\n17717 47422\n8212 39352\n9084 29143\n5908 15789\n25213 48340\n15604 42311\n28938 48176\n11687 32679\n37197 38766\n2326 24109\n1639 11937\n29384 48642\n1920 21049\n3333 19159\n8962 35148\n13082 28255\n3630 23200\n34105 46371\n5121 7417\n7073 10275\n34884 44860\n9109 23681\n17517 39518\n31714 47607\n21388 40688\n42623 45937\n395 18972\n35187 43103\n16363 19221\n41830 46103\n11656 30399\n10072 46221\n1111 16259\n219 38616\n194 40112\n25223 40991\n20216 44244\n13139 46183\n11726 45222\n5126 14872\n5482 37236\n18001 26154\n45618 45861\n32828 39640\n23207 33688\n6021 29611\n13887 16700\n12152 24520\n5773 30471\n13113 40411\n37175 45985\n46813 47729\n23072 23511\n31286 46534\n13852 21410\n27327 42057\n9744 14240\n12894 41126\n15297 27342\n6576 12512\n29915 32698\n3021 35695\n24919 35113\n30972 37480\n29288 32969\n29618 30213\n1844 47415\n8376 44187\n7538 41011\n2449 9554\n11469 12759\n16554 45951\n4866 11046\n173 44518\n22390 25558\n9855 32453\n1329 14721\n14059 48516\n13752 45858\n597 7960\n15818 22485\n18181 32133\n14802 27021\n22825 43153\n1486 44129\n9960 39935\n7451 25990\n11254 31583\n8913 28227\n4847 30979\n9288 44278\n6591 26838\n21294 38721\n24985 29269\n29538 42063\n42231 47297\n2480 26393\n24379 36695\n8053 27832\n11093 15938\n32106 40089\n22080 41644\n1530 8223\n229 6403\n15760 29713\n929 28325\n20967 26903\n14678 38590\n10417 14863\n10947 25686\n5762 47174\n3201 41901\n16191 34853\n14987 36193\n13326 24801\n3101 35013\n32385 47465\n8079 14960\n2138 20558\n6549 26489\n23724 24989\n11996 42626\n26179 41033\n28599 31722\n10469 35426\n36808 40492\n28449 43996\n21435 40924\n5550 15890\n39374 48312\n13856 46282\n1258 29872\n35519 45909\n17114 45686\n14760 28545\n14664 15884\n26829 38704\n29985 48131\n1294 16748\n7432 31298\n22928 35707\n9207 30295\n5767 47559\n1283 42743\n28796 32669\n36005 39887\n23835 27487\n237 32801\n7268 17160\n2435 40365\n16837 41790\n24800 42213\n11516 36777\n25282 26390\n4168 27724\n13246 17335\n2560 20377\n17295 35494\n24234 29831\n10692 23373\n29747 47309\n2635 27624\n14895 21687\n16602 21081\n37142 39041\n23464 29094\n32906 40523\n25290 29604\n16234 39546\n6113 16871\n20897 43068\n12568 44119\n38349 42181\n10272 27933\n15933 44216\n12861 34378\n33395 35771\n2403 42084\n17767 46170\n21868 21951\n19536 42483\n46410 48203\n8593 11210\n601 11019\n3210 29557\n13214 30533\n47673 48213\n1393 46411\n10294 19135\n22435 30314\n12662 29293\n26652 40801\n7193 16511\n8101 38758\n6570 23926\n16711 47125\n14060 29455\n9420 14717\n3852 29385\n15513 47192\n7428 48298\n7107 17730\n8381 20417\n20374 37759\n37000 48590\n3201 30058\n32726 44920\n29130 38352\n2179 15451\n11717 38359\n1920 22459\n13378 43465\n16863 18181\n419 1808\n14105 44710\n35218 35611\n6132 32817\n25883 36522\n4456 6755\n17812 31813\n6949 47484\n35248 39679\n8579 23135\n39438 44251\n17496 26977\n2069 11532\n26606 41642\n1206 26000\n16197 48265\n1712 21956\n5825 38681\n8441 25990\n1037 35885\n8596 43828\n4611 41223\n9396 42452\n41180 45845\n34037 37134\n1455 12210\n17169 27420\n31951 44942\n5275 13229\n37029 44215\n33574 46321\n4859 17530\n38888 47114\n25024 33943\n11450 26936\n429 32622\n13521 45896\n15947 40037\n35119 38404\n11756 14741\n16873 28288\n30323 47551\n2240 3954\n14953 22536\n6225 25508\n13959 23135\n438 13151\n5953 10800\n39707 46239\n11285 29516\n6745 22579\n5313 34363\n35159 45605\n12126 40162\n18031 44355\n5640 8485\n40987 46166\n33761 39592\n43189 44031\n3064 45034\n40164 41542\n5636 12200\n46542 48415\n20580 20659\n25410 36897\n42899 43348\n13787 20269\n40796 44813\n21301 36499\n11864 16722\n17849 23017\n9314 26296\n5956 27422\n2689 33436\n19113 29654\n12466 16706\n15143 15444\n28914 44586\n8969 22575\n9289 26568\n39419 43698\n14755 18009\n12324 12466\n28837 37140\n20596 29552\n23342 29006\n25557 34286\n8635 36413\n2187 40262\n3948 40951\n12374 33134\n4799 5804\n871 37960\n13525 16529\n42204 44036\n6890 11658\n25873 28160\n18336 18641\n42489 45388\n1286 48016\n34693 43283\n19487 32649\n27394 42224\n14594 27496\n38728 39269\n4097 33637\n2881 15641\n19630 38961\n46693 47390\n14804 17992\n26783 31831\n26832 32487\n21633 31119\n8589 13299\n17238 23537\n9559 42069\n7355 44579\n42811 47872\n42121 43160\n13752 43207\n423 16983\n15038 23292\n29255 46661\n23229 33084\n4633 4651\n24326 26689\n23924 43174\n8883 16239\n16342 25426\n16319 36765\n32383 42175\n26591 34729\n9431 10280\n25112 25230\n26437 44508\n41013 45078\n10390 42542\n10768 29857\n1530 8711\n7076 19495\n27418 35428\n39202 39238\n15136 16454\n9982 31469\n5865 43571\n1471 9888\n8663 44281\n21851 33060\n6359 43561\n13889 25287\n17661 26776\n12534 44300\n23244 30353\n14542 24154\n37547 38976\n4717 48056\n6742 21097\n10152 25731\n14553 28571\n10307 41870\n3267 3408\n9771 30578\n16475 25363\n35293 36904\n17677 39076\n10440 31426\n11571 24258\n19571 30204\n1842 5281\n37750 38839\n4664 22339\n23153 32515\n24860 25618\n5084 35733\n30774 35939\n30306 40127\n17400 36715\n6112 13045\n22281 36093\n42523 43101\n6151 27696\n3121 8908\n838 23553\n13328 31137\n29871 37580\n7391 35901\n30075 48451\n28786 38804\n16086 38167\n16453 18571\n6741 8492\n16991 17811\n20603 28936\n30 46063\n6302 22070\n2241 15915\n9630 9650\n21415 25824\n23812 44165\n29998 47525\n6631 24792\n7825 40367\n28649 41873\n7859 45434\n17202 46915\n25896 39671\n12500 34414\n3037 37107\n11531 47814\n6950 41977\n21799 29378\n4373 29604\n1920 35875\n10739 21001\n11454 35541\n21390 43136\n4631 40003\n177 6451\n5956 33580\n23284 36493\n6969 24226\n36011 36606\n13481 15985\n4587 43156\n6193 24809\n40318 43024\n28585 43161\n23619 45949\n17996 30345\n13844 41310\n35315 37752\n4146 43864\n27735 42596\n28991 37811\n110 14691\n13885 31653\n5492 31376\n29391 42934\n37066 39653\n42846 44385\n5155 13092\n9805 34925\n24127 47773\n21340 25072\n380 24161\n13613 33693\n3585 5111\n5390 19044\n7887 13049\n44819 47715\n20403 29137\n17835 20093\n23285 30550\n8763 39773\n12317 18252\n12124 32679\n24151 37599\n9298 16820\n12557 26506\n10645 38745\n62 21571\n9633 31098\n2918 6217\n28389 42647\n3261 24392\n21318 34330\n27515 37656\n27819 48384\n3604 10248\n19886 44939\n21833 35157\n27058 46207\n8382 20282\n6832 6972\n2964 38655\n19264 47209\n6440 46636\n8267 12619\n29028 44615\n29835 43160\n13510 16905\n13221 40338\n2001 16691\n20399 29205\n7541 40727\n13105 40009\n4318 35705\n1160 37718\n19896 39043\n17733 27445\n15089 30134\n2652 35487\n8319 11613\n40813 44365\n1251 12543\n20309 35527\n31406 42503\n8936 39214\n5340 20929\n37987 43511\n742 24569\n4030 17876\n17182 42798\n7934 18110\n18301 27038\n691 11421\n47248 48498\n5600 12908\n14963 40446\n23563 40874\n41972 47859\n9746 28447\n4088 39338\n5443 30687\n31858 43799\n8392 9667\n39617 47266\n40965 47225\n21859 42054\n11871 15493\n7102 31504\n5834 31606\n7942 12264\n5495 28361\n39151 40737\n7547 27255\n33732 38915\n3533 28097\n5642 13669\n2324 34815\n15308 26297\n33003 39204\n144 18336\n11908 46276\n3459 14558\n24796 35134\n14015 27729\n6266 27064\n11731 46984\n19410 27586\n18727 26748\n29227 43959\n15836 39798\n24193 30066\n13346 31657\n27819 35793\n7857 22094\n23124 40241\n26606 45412\n19490 31333\n4293 44837\n285 16533\n6443 28273\n13108 45686\n27414 34100\n11540 33076\n29123 46561\n8849 15663\n23129 41257\n8478 46692\n45352 47938\n4753 6905\n435 46766\n23455 46338\n1285 14847\n28880 46291\n12486 43679\n491 31949\n19786 37842\n2277 45389\n41394 44441\n1060 9666\n2616 33105\n3378 32504\n19808 29954\n28631 29061\n16934 35630\n1890 24334\n17845 28801\n3650 12419\n20661 46448\n23363 37416\n18728 37787\n18797 33161\n8065 37755\n26966 43743\n18233 21889\n22349 40401\n18923 35692\n6183 28388\n9944 36859\n7353 31150\n20512 22272\n10665 35660\n30179 33048\n10561 14938\n27221 46354\n10314 33403\n8580 13134\n2055 6384\n7598 41918\n14571 32336\n18037 33582\n13892 24309\n4429 38791\n1576 44251\n3037 4056\n27211 35118\n27408 47381\n34954 37726\n2534 41704\n33764 43076\n2558 48338\n3507 31032\n882 47466\n13819 41318\n12299 21342\n25275 45153\n20919 47359\n17021 31951\n6324 11000\n26874 43107\n19352 34883\n38478 38927\n25235 47269\n15125 16331\n27536 43063\n11066 13182\n9018 20123\n33683 40264\n21834 30353\n18911 42337\n974 44206\n13179 22300\n2550 45564\n1816 28706\n26808 31802\n40271 43221\n30418 33493\n11832 30847\n10668 39231\n3259 31018\n7142 8888\n14794 33079\n30421 33269\n26541 28921\n5469 37832\n30958 33269\n41788 47581\n5283 14191\n32964 43856\n13063 40670\n270 34717\n8145 8923\n29636 46819\n31764 45356\n9301 29118\n20996 28287\n22555 40601\n5407 42467\n9600 25071\n10227 46160\n403 10019\n3393 7681\n41076 48325\n10838 48359\n1251 28960\n27510 36173\n17101 44190\n11326 32480\n4204 13649\n32185 43221\n33404 36845\n33678 35193\n33632 39839\n9690 21135\n3500 15466\n16394 20861\n21387 45701\n13307 30542\n34308 38497\n20959 21572\n34443 39745\n28707 46232\n4337 48571\n3556 6903\n32311 41246\n3648 43366\n27200 37516\n39149 41944\n22626 28423\n15644 45170\n3892 40946\n9323 23849\n23258 45263\n6873 33993\n3510 20096\n16740 39615\n18031 22326\n19383 30573\n358 45998\n2674 37380\n6965 27137\n20922 35534\n18882 20503\n5600 10018\n31919 42444\n20464 20753\n26968 39530\n30994 39778\n28515 44945\n13034 44503\n36587 45025\n5967 38999\n21697 30522\n954 42840\n20278 20417\n44937 45854\n36036 47668\n14661 44185\n10503 28782\n4252 38322\n31312 31557\n16123 48409\n1641 39271\n16902 17229\n9181 40295\n10778 41663\n39536 43861\n22002 34241\n36303 48150\n10293 38221\n5506 26091\n12203 14730\n5542 19004\n38075 40947\n23200 38100\n2141 19761\n3648 5659\n1867 9718\n19576 26060\n2976 20956\n19705 33102\n37677 39748\n21436 25331\n1188 17754\n6253 9622\n4073 21694\n11457 41712\n705 34217\n12884 43841\n7604 15031\n18821 29205\n8750 33901\n3464 44137\n17905 42875\n16986 17648\n14626 33760\n15286 21858\n23783 38356\n13779 30169\n26208 34113\n16232 46475\n26204 33455\n27475 35010\n18531 31536\n3456 45290\n18145 46482\n18706 44131\n26191 31201\n3249 20270\n31886 40353\n17235 23405\n33095 46360\n34564 43653\n9255 41868\n26540 32392\n29883 43602\n37152 42454\n11331 28486\n934 32810\n15838 26361\n9573 31335\n4741 9576\n9602 10898\n2265 30538\n5760 25592\n290 9164\n93 25465\n7223 18058\n1569 5933\n10509 24489\n16787 34771\n11183 29737\n15709 18594\n2384 44919\n8666 22532\n25345 37117\n25096 26961\n4782 34199\n31028 46704\n43585 47270\n3630 33329\n17983 43827\n20252 30280\n2331 35927\n24686 34383\n6317 22926\n6730 17556\n20196 47676\n1799 6961\n19776 47019\n17494 36241\n12661 43854\n23305 25489\n5552 21075\n4467 30819\n11072 45253\n10921 39333\n25334 46820\n34936 39974\n4337 24366\n5828 47928\n3241 18034\n18764 42493\n40816 43478\n841 31756\n9906 10988\n705 36844\n434 20453\n4046 26922\n2346 14792\n35711 39110\n10774 40043\n6575 20280\n16262 35192\n9182 25955\n25133 27715\n4970 15647\n13614 43528\n8224 29547\n18935 38093\n4521 39384\n12597 33315\n18631 25457\n30576 37926\n11121 33828\n32441 44247\n3327 36705\n748 20453\n7339 20065\n8123 32223\n12518 22481\n33960 35590\n2981 8058\n41539 46234\n2322 27707\n39905 41794\n34181 46179\n5460 16328\n14367 29131\n2702 25321\n43324 46917\n4427 11347\n21261 44894\n7955 35665\n29610 39500\n6889 26117\n18544 42090\n25350 30127\n28053 35624\n25557 40805\n44064 48039\n38540 45893\n16671 19035\n413 5775\n3311 3968\n21957 43408\n1382 22173\n5191 37281\n12245 44382\n36781 48179\n6911 12103\n28686 38721\n22709 37326\n15116 44623\n11700 23373\n10118 38470\n2156 40841\n42937 44735\n26719 36338\n20625 21898\n35485 48498\n3587 34735\n5724 17645\n23407 33722\n34205 36468\n37577 47070\n5854 29097\n3206 43363\n23575 38939\n2745 28927\n19709 43681\n6404 10074\n33522 36450\n3390 6177\n3688 18249\n21962 26065\n14924 18972\n26037 43546\n19683 47053\n2741 7395\n43494 44517\n26707 47514\n29489 34464\n9523 9940\n32461 40418\n2605 45855\n736 39613\n3887 21744\n4761 22787\n17648 43301\n5638 18944\n12851 16480\n162 37581\n26561 26614\n22730 39648\n22206 35155\n3976 41132\n17796 18673\n17590 24924\n15156 32805\n11440 38834\n22011 36920\n18778 32868\n37411 45936\n9168 10165\n12060 14438\n8771 17806\n36358 47169\n20058 23098\n37540 39122\n8551 19188\n36535 44128\n7179 31965\n13715 18057\n32979 36778\n237 47916\n14527 17556\n32596 35345\n24322 25390\n13986 26355\n12129 38278\n22027 48622\n11081 24576\n285 25086\n26904 43269\n19325 33343\n922 16100\n34243 36818\n15626 28839\n12991 17992\n15652 46240\n2152 16116\n30626 34751\n26666 28798\n513 29876\n8055 37066\n39389 42055\n8255 28685\n4410 27922\n2602 6447\n31011 42152\n9603 15769\n9762 24311\n16910 28198\n7246 17607\n37405 39039\n11707 29416\n21001 32533\n33126 41660\n9467 39575\n14500 23410\n42275 44320\n6306 33812\n20334 31544\n11296 46030\n10363 44999\n5892 31308\n12655 23250\n11685 26658\n26997 47054\n31332 48028\n24726 48507\n10723 31588\n24038 39079\n25582 41689\n29858 39628\n21425 34475\n5785 40946\n17036 47975\n4843 34556\n34330 47477\n11793 43990\n9863 18655\n33263 40855\n19746 41264\n4649 16527\n34310 34375\n1128 28696\n2103 16678\n29994 35685\n42425 45178\n8890 29095\n4059 45955\n43606 46987\n18865 27846\n14776 26286\n759 45350\n16396 32568\n27755 42437\n26492 29072\n14196 21345\n37824 39866\n1190 34012\n27510 47132\n16410 35779\n2783 27907\n3371 24631\n4029 25894\n3959 35811\n5471 11505\n32175 45131\n19339 25516\n27748 40542\n27736 28600\n22342 29385\n24234 24763\n26892 40568\n3891 6825\n10565 44862\n33380 43380\n1075 45779\n33974 43374\n10716 25244\n2491 21463\n16657 24699\n11930 45174\n4777 29984\n38035 45215\n20538 48449\n3356 45492\n38833 41585\n15689 20999\n4067 19303\n4589 38078\n7542 31952\n20963 22291\n3153 19690\n18229 42248\n4036 32373\n560 21431\n28482 46825\n9489 13725\n38278 46669\n8946 31900\n37039 39503\n11216 43143\n28172 39294\n37021 47595\n25761 41155\n2241 15548\n1871 38447\n28069 47057\n34606 39728\n78 29689\n10348 44894\n15210 35726\n5791 14799\n34577 38292\n26460 32378\n29462 29736\n45967 48349\n5882 12581\n25671 44677\n18187 33776\n8163 23862\n15234 43102\n2879 5730\n10616 36447\n10752 42377\n18806 19173\n12015 29186\n34523 35226\n38854 40393\n38002 42759\n3529 27423\n13451 44880\n8291 27861\n7639 44393\n26650 43672\n2197 38056\n23522 37828\n21752 29859\n44805 45505\n9758 35776\n31580 41445\n3807 42457\n11808 19366\n2935 35741\n33887 43017\n2444 3435\n26899 39974\n37001 44671\n38750 48660\n12725 30113\n22582 30953\n2519 12570\n31873 45148\n19769 31554\n1406 3669\n29842 37734\n25361 46190\n16845 46373\n22736 27427\n16013 34715\n8654 26179\n6856 48309\n17504 26290\n14441 17140\n2540 9315\n3868 6423\n46196 47696\n21258 38379\n24883 41631\n36989 44946\n2959 10794\n4738 47359\n33192 34139\n26739 28777\n22011 33584\n648 1377\n36364 39366\n4523 24105\n9102 9801\n35934 41870\n35590 40943\n6071 38740\n6220 41829\n32394 37977\n26483 35510\n13380 38360\n13249 25683\n31605 36057\n983 38617\n22367 42044\n25105 25381\n27587 35527\n3048 13762\n1772 6874\n5857 8784\n33961 44485\n6280 44427\n8969 28480\n189 29821\n30269 46848\n25787 36213\n25935 29600\n19911 22882\n866 29301\n13776 30168\n20796 21638\n17087 18474\n11995 41761\n3664 15018\n5384 14264\n1965 21872\n5446 48604\n2088 7887\n9444 41602\n6981 23568\n18027 40941\n8549 19461\n5048 46448\n3007 36038\n44903 48377\n5367 7402\n27176 28709\n3433 23487\n159 18618\n1895 17229\n11388 22597\n138 37540\n13547 46964\n4086 15858\n18813 46658\n23062 39604\n24784 26198\n7703 40871\n11786 22516\n687 11867\n5734 11524\n16051 38086\n27918 42308\n14274 41447\n5847 14179\n25644 47692\n12112 43856\n18245 36919\n21306 32056\n21287 30324\n14166 44642\n10614 18366\n13324 20073\n14634 34772\n7657 35109\n37535 38352\n22152 25363\n25075 35816\n17726 36151\n8201 15574\n38893 39488\n20045 28451\n8389 30583\n9251 22760\n5467 40619\n9990 44524\n22802 37226\n32084 43921\n22411 47762\n12606 25169\n8119 12729\n5804 16589\n39747 46320\n21308 22383\n26664 48320\n21216 31387\n37891 39279\n12326 39116\n16612 39607\n14496 41066\n17397 31289\n11319 45829\n4388 34627\n8681 24190\n11179 38013\n34762 36846\n9996 10689\n161 6591\n2595 6925\n38374 45840\n27248 31301\n10713 46318\n13003 23957\n8844 10912\n23906 40104\n12528 47772\n26966 30818\n7003 47723\n13508 21231\n20250 37463\n681 39045\n9755 29087\n41906 46413\n21200 47019\n414 44701\n27119 28154\n8951 31879\n4104 5225\n11113 28719\n1391 21975\n7063 14906\n45620 47557\n19155 32951\n40228 43116\n3124 32664\n15388 35305\n42355 43221\n15776 30238\n3043 12032\n30922 45631\n10888 43978\n16090 30544\n34095 47632\n10875 39341\n15879 22860\n35664 43501\n45622 45820\n37479 41732\n8399 26977\n25693 47204\n34024 43694\n21986 33389\n27189 28254\n21537 29775\n2488 40643\n13054 14043\n441 36413\n2415 45682\n27251 47174\n1436 30061\n2087 6924\n40276 42670\n22113 37670\n19437 32669\n3043 45953\n7586 23232\n7774 48345\n26451 30968\n619 6278\n24791 27167\n13381 45003\n32947 35234\n1737 18376\n11943 45819\n7033 29805\n29014 40066\n16709 44700\n27015 48185\n11186 22006\n12413 17307\n24805 40490\n14788 15228\n26653 47917\n7812 9322\n2849 36187\n37646 37852\n14290 36795\n1869 27819\n18157 30754\n2871 45938\n33178 39599\n14828 47338\n18557 33088\n35001 47813\n34595 45827\n26974 47963\n18661 23406\n4290 12090\n3277 31112\n25366 26641\n14949 42710\n4648 35132\n34055 42127\n1875 30056\n6244 33523\n7550 14204\n24084 44779\n19962 43839\n6546 34818\n4847 48123\n18580 22519\n19880 43540\n17477 28804\n16555 44305\n7554 23773\n18799 19259\n35650 44231\n27088 46106\n34782 47193\n6903 22605\n6702 30985\n29491 35914\n268 27074\n28074 38258\n3057 43184\n3764 33505\n6730 21223\n17996 28565\n1371 14837\n2781 24738\n22152 47407\n25985 26907\n969 42023\n27434 41636\n13174 33323\n13310 39408\n25090 39074\n3153 44272\n6977 12032\n10645 20399\n36954 46431\n241 47678\n32793 43003\n29393 45113\n10216 10298\n38441 43860\n2347 26188\n14662 26071\n12684 25040\n5262 5571\n17559 35286\n12944 48043\n23253 34479\n23938 34801\n5642 11421\n38588 45177\n19993 47304\n6587 11491\n4630 34212\n31243 42478\n354 16817\n7081 39664\n30352 44703\n2902 5069\n41875 47402\n5407 11512\n33866 44704\n17192 25247\n2898 19338\n2602 31372\n7441 14433\n7210 24441\n12306 27813\n2560 9914\n39245 44573\n9161 17854\n20792 25768\n13854 28634\n38871 42573\n27688 39629\n7385 16854\n8008 29849\n19972 35357\n17042 21314\n4762 6115\n3683 41465\n23637 30315\n6825 29329\n31325 31656\n1503 9061\n33418 38388\n25825 38185\n1424 26244\n14498 29811\n6469 16509\n27142 40037\n16810 41020\n6332 7920\n1685 5241\n26630 34263\n7853 32513\n26363 48489\n26938 28210\n34029 35453\n30655 31073\n31348 48290\n35207 41706\n30206 38096\n211 29264\n26153 35620\n4658 10081\n13624 25834\n4083 22443\n10848 18989\n4466 19355\n33283 37793\n27921 29596\n4630 14389\n1768 28778\n29416 47003\n43299 44144\n16379 25870\n19861 41891\n1586 2712\n21708 46741\n2828 30618\n41195 43751\n17227 45921\n991 33036\n27433 34455\n6084 22940\n1966 18877\n34620 40772\n2910 27608\n1823 2854\n14159 40531\n17519 41249\n16853 47994\n10740 24481\n4770 40731\n2297 45751\n1523 38458\n5629 30968\n6058 46319\n15707 18077\n38343 44673\n16237 41882\n16112 18983\n16948 27806\n15385 46945\n37078 40426\n14295 20632\n18318 22341\n21665 30305\n878 6561\n822 44482\n24262 45060\n34887 43091\n4551 39506\n23364 29384\n8999 25214\n1558 19586\n802 40618\n9825 45404\n197 25369\n2177 35209\n13720 14464\n14810 31531\n40150 45458\n37097 42237\n17670 24030\n13525 29558\n8113 35951\n38045 44520\n1290 24752\n26468 46478\n7789 25276\n13784 45511\n4314 34167\n15587 46758\n14949 17862\n5237 10074\n46727 47323\n680 11806\n21589 33653\n19186 37513\n2856 7116\n31011 40764\n13303 24079\n14567 45816\n26817 34335\n3176 41788\n30183 40312\n5640 41575\n33859 46544\n22727 27357\n26186 48421\n20436 26681\n22448 32228\n17141 22278\n1574 32593\n18157 41068\n19887 25224\n11445 12792\n6578 8542\n2344 27867\n688 7373\n2598 4102\n25743 30804\n25095 44070\n3114 9000\n16400 39024\n6776 16588\n16866 30806\n13171 44838\n8490 32238\n3890 24038\n25249 33093\n8554 34202\n12387 15226\n41369 47132\n2931 33362\n29354 47452\n40800 42447\n9165 47165\n16010 36893\n21492 27041\n16189 36721\n19908 34846\n11552 21012\n26966 38005\n18169 28846\n35591 46373\n13755 19954\n2624 20215\n34706 42256\n4355 32528\n10295 43989\n5324 11540\n29335 41301\n38307 40137\n24744 48016\n28444 31710\n12117 14505\n1401 35477\n4656 6652\n2670 6948\n7188 30752\n6878 11293\n23610 48476\n34249 38846\n200 15722\n29663 47175\n22908 23318\n20745 32774\n16976 45521\n1979 46797\n3531 14874\n22381 25329\n7086 32576\n5431 30204\n17629 19651\n8173 28596\n21233 38016\n19420 45294\n15632 19526\n9442 41357\n22602 25430\n23744 30189\n24471 45900\n2629 20373\n13293 15461\n4621 40559\n7321 37094\n13127 19220\n5107 16265\n19843 33850\n3411 45745\n37752 41736\n27795 35416\n8569 42555\n6568 12992\n30837 35713\n8956 26730\n8812 10604\n26535 44743\n17737 47774\n29754 47329\n17668 30115\n16829 39675\n1254 26703\n12751 44729\n7377 45765\n15886 37174\n15971 19526\n20228 40169\n21489 45584\n10839 22974\n3888 44769\n10517 24693\n31341 43652\n9345 31182\n24406 46866\n36915 42194\n4285 45000\n11256 25322\n4856 26883\n33819 38400\n27284 42123\n3868 32733\n20164 41824\n2314 28012\n10605 32486\n25719 48060\n21932 31330\n8136 38681\n1368 5928\n27663 34412\n12724 20695\n19868 25941\n6820 8523\n28654 40004\n23259 37440\n9264 13181\n22216 48049\n29182 31567\n13187 43481\n34696 40293\n9809 19864\n28912 33292\n14410 44584\n16241 17945\n19331 48219\n40193 42457\n23729 43078\n22402 36931\n13047 22044\n3733 11416\n8906 43146\n25719 28106\n37774 45179\n5424 34880\n17969 46514\n33489 34135\n4488 46541\n8945 37155\n248 44938\n940 45269\n33274 33697\n10120 37782\n8539 45137\n27470 42040\n22794 43245\n6430 17871\n10341 42446\n13549 26141\n35875 36397\n18873 25877\n21502 27240\n26104 35921\n9437 11537\n26529 30534\n16711 33158\n33458 46872\n19337 32491\n36112 41666\n6671 35315\n33120 48435\n19476 38496\n3710 10614\n18369 47048\n18696 40495\n7992 37771\n39843 42200\n12556 33209\n17392 45666\n3894 41483\n1752 34463\n23069 27418\n25885 32772\n10211 22781\n2508 29808\n38074 38975\n8649 22044\n35689 46951\n17191 38068\n8877 21522\n625 21759\n4721 21543\n30348 37677\n16741 19230\n7283 9187\n460 28784\n8980 35741\n29984 39572\n1761 20628\n10925 35543\n18092 21485\n9225 38460\n11624 20076\n34151 35577\n2994 21218\n42425 43675\n2111 13931\n3794 17359\n5418 40470\n33328 33992\n16491 44391\n17849 44692\n19407 37828\n29430 35905\n35533 44220\n702 43484\n19096 20165\n14006 43122\n1345 41327\n13528 29552\n16455 26610\n1186 1401\n39581 41932\n8333 25253\n10394 15258\n10901 15778\n18462 43219\n43780 45501\n1372 12431\n2855 10306\n27148 46170\n16577 24073\n179 32693\n3811 34202\n7010 12057\n36582 39977\n19867 35139\n31067 48078\n40522 45326\n3088 46862\n14592 39149\n20636 37790\n7680 33022\n19047 46911\n11408 25241\n10602 13617\n37842 44431\n5783 15227\n12340 36537\n25841 47710\n34459 36992\n20139 26664\n9698 11745\n4587 29878\n10489 34570\n6843 25270\n30031 34244\n4746 18896\n10781 16085\n33371 44696\n21676 40627\n6678 7311\n18836 32905\n26885 37657\n28242 29252\n9949 29937\n4654 13736\n27039 36799\n16716 46633\n5700 14952\n9318 29314\n1773 15777\n23367 39203\n16442 30735\n39990 43338\n2737 13867\n7146 13758\n14914 17929\n26818 35486\n6743 20699\n14543 24632\n10943 47174\n3080 34522\n17092 30044\n40865 43127\n6291 44477\n21678 31496\n4982 20712\n4456 21458\n19354 28804\n17649 28428\n21045 29768\n30053 38571\n5979 23194\n4404 14196\n35565 37744\n16035 17815\n13758 21204\n15953 39109\n2225 41437\n3453 20019\n32681 36294\n2161 18528\n5536 20651\n3707 44033\n11529 37971\n14774 42245\n11536 46551\n12328 17010\n12849 42912\n33931 46049\n16523 21063\n30427 42426\n4962 40905\n4247 38695\n5956 24786\n17995 40038\n11558 28763\n10214 28254\n18498 37210\n14096 31953\n28564 39270\n25217 29447\n1630 38617\n11919 41531\n11838 27718\n16542 19405\n43610 43839\n35960 44611\n5005 31375\n25671 40465\n20312 31201\n18170 44737\n39135 45781\n6198 33628\n6821 43530\n13558 27636\n8723 13132\n9879 25771\n13414 23682\n22647 46688\n13008 22807\n13965 45768\n25107 27226\n16756 20794\n28432 41933\n26579 39691\n12556 41935\n20024 32731\n3632 10165\n3513 32195\n23725 37198\n27454 42201\n27218 34634\n3120 44500\n20841 43204\n29085 40577\n27389 43034\n1530 6012\n3059 48559\n12654 14108\n20348 20780\n16281 30038\n8477 14732\n35180 47080\n27973 47842\n27538 37302\n2359 22005\n40037 42989\n28227 41256\n14527 45622\n43723 45674\n10060 14785\n10597 18342\n29627 37705\n36224 39162\n32565 48550\n20183 23226\n27975 43292\n23952 38667\n1434 4878\n13240 45004\n15075 27555\n9754 42849\n28774 40276\n12752 41849\n21451 45937\n17478 17909\n9188 24232\n29123 36929\n7047 31817\n8285 28230\n6878 14410\n24913 45276\n750 34508\n44403 47571\n14109 27355\n2427 24985\n16246 28280\n1885 9675\n32834 43374\n11573 14301\n22959 46554\n3300 33439\n41295 45240\n5882 34288\n24133 29440\n16256 31936\n5981 34529\n12466 26790\n29898 41725\n20935 28629\n23445 46036\n32472 41893\n6102 24236\n16692 37640\n22551 46916\n14767 38507\n7580 40609\n680 12293\n29225 34333\n21142 23554\n8711 9552\n20981 37393\n18606 18654\n41758 45944\n8268 25526\n11107 20463\n6214 6414\n37180 38154\n34357 47723\n39952 44600\n4150 18004\n40381 40744\n9075 31992\n28569 28928\n9043 19058\n15577 41653\n24215 34190\n34324 39445\n22289 26818\n21069 41206\n23128 38907\n45346 47167\n2470 29529\n47764 48453\n42748 44840\n1390 41443\n25632 47935\n10697 33609\n2247 16803\n10954 23692\n5645 48283\n2075 17391\n16299 41602\n12684 16547\n14196 20279\n9818 24680\n14670 47995\n34080 47594\n5792 7919\n36173 43123\n493 1185\n16105 42658\n12130 44322\n21460 32306\n9039 15980\n1420 4742\n10535 37938\n5735 12082\n266 36908\n2524 44075\n6513 34746\n641 19391\n26781 43586\n9750 44551\n13461 26528\n9795 13410\n23023 36305\n23071 45304\n9368 11947\n17349 34275\n31270 45475\n3937 8802\n25249 36664\n10928 19111\n16772 25797\n19309 30711\n18844 44287\n22660 29979\n11569 36642\n4081 46229\n35341 40244\n3121 10159\n5194 25023\n6480 11165\n19767 46671\n27409 43118\n16906 23282\n12083 41656\n32667 40464\n13710 45494\n14496 34893\n17088 30654\n2933 29379\n36712 38025\n8493 21923\n35371 41270\n28850 32716\n32352 47607\n5394 45368\n1297 47738\n25683 30640\n2389 4707\n9970 27910\n2135 37639\n4690 12785\n33505 46241\n12612 29479\n27039 42958\n4040 39251\n13181 17436\n37516 42891\n18692 45383\n9189 14942\n26544 47174\n17585 35256\n34120 38424\n8900 46456\n23038 43203\n17143 25916\n18014 44921\n12210 16080\n1812 13623\n35222 45472\n32306 43836\n5646 26574\n5810 46966\n5928 26142\n23440 39754\n29239 35539\n5570 14374\n1770 21527\n10369 26600\n14363 37215\n18851 23449\n15173 36656\n42359 47876\n6763 45995\n37807 42586\n5808 43102\n5383 19554\n15527 44950\n23741 29958\n12037 31736\n24659 44554\n2678 29111\n8330 46257\n3559 18871\n8024 26551\n18260 32975\n12849 22202\n40747 47148\n19715 30904\n992 43872\n15425 37215\n3410 6164\n40212 45646\n41959 42093\n34961 47952\n39534 47601\n23761 48163\n12651 33250\n16562 20265\n5262 44886\n16397 43197\n35489 38159\n9891 35307\n33473 47025\n3546 28987\n11504 46655\n34715 37204\n25042 45980\n6372 27920\n37510 43038\n9255 35547\n18711 43252\n14822 44407\n16668 18024\n18469 38023\n603 42122\n20199 42154\n38678 44626\n12577 23426\n14913 41492\n20473 40911\n46997 47266\n9449 36908\n6352 10001\n26962 45520\n35024 43955\n26672 40238\n7460 25943\n12149 26507\n22886 34579\n39397 47485\n38879 42376\n16389 24480\n2231 22763\n38881 44336\n21366 22447\n21589 43909\n303 9443\n3411 15984\n19728 21671\n5529 43046\n545 21139\n12042 48305\n30985 35084\n2357 36167\n19887 48324\n6043 22887\n2665 16926\n4739 25498\n26964 29593\n9 43914\n9000 28151\n5593 13692\n11225 42390\n24655 42222\n10855 34528\n18521 30224\n3373 44335\n3848 47082\n15357 44823\n14081 34007\n13881 47812\n24486 31836\n27092 28082\n674 37103\n26534 47647\n31010 40636\n11278 25323\n9393 24506\n12792 37111\n23147 36509\n28504 37220\n14048 26177\n40146 40655\n25130 41822\n15614 16960\n1446 46810\n12591 45280\n17153 28786\n3878 4531\n25429 41975\n28201 33873\n31290 39515\n41733 45661\n473 21957\n24519 28721\n378 32654\n4781 21559\n13741 34509\n16989 28785\n29936 33796\n5171 40935\n4734 41239\n17940 20586\n20784 46778\n33812 48378\n25368 43262\n2270 23214\n2218 12492\n5118 11290\n18026 29354\n3209 6451\n925 43257\n6728 44780\n27501 38886\n939 8269\n696 751\n14650 27933\n11267 16815\n12717 20424\n11861 14704\n32109 48058\n21015 43279\n42617 43789\n23187 32835\n5180 9799\n2175 17709\n27798 36785\n3172 33908\n14608 27573\n5692 29320\n17281 43560\n23151 43918\n8484 10095\n14198 23429\n13528 19768\n21527 46179\n18203 23596\n14167 34284\n31792 45919\n2475 21092\n17754 40273\n45364 45790\n4280 38701\n4748 30056\n12352 12839\n19314 19639\n19196 24693\n9118 40487\n38746 44940\n23933 42437\n8893 13378\n18201 36467\n2394 44712\n16669 25297\n14999 21800\n12499 34853\n35474 47270\n6432 11334\n2112 26720\n7123 36082\n628 26432\n1980 17968\n21182 25315\n7978 31007\n1648 28342\n24351 44253\n8020 22847\n13582 22998\n9250 26164\n19758 39252\n5034 5880\n12106 15405\n15610 31766\n3783 25308\n6659 33257\n41420 45219\n2179 44826\n13856 33848\n15469 32024\n4815 24660\n1559 13961\n11171 46843\n8986 17401\n10683 41635\n2039 17919\n57 45419\n18594 45701\n25138 26888\n15422 32985\n21246 45881\n14663 32732\n460 47581\n7216 21400\n13805 16804\n27188 44741\n29723 43798\n16678 46356\n2951 24202\n13174 15518\n32449 33381\n34936 40783\n12494 42048\n4964 10338\n7033 45231\n21537 35136\n4939 33473\n30797 44934\n8310 45986\n3508 47294\n13542 31189\n2967 15504\n19753 26253\n18068 44260\n12148 37111\n31875 41599\n299 16095\n12418 13440\n10313 18362\n44162 48155\n18909 44529\n19597 36999\n16895 42008\n35197 36009\n7130 36782\n13219 16074\n18776 33149\n37437 38651\n28228 37069\n35413 40415\n31611 37525\n9563 21923\n1228 25270\n15448 40956\n31857 47890\n22254 42990\n210 6264\n21298 30856\n35905 35934\n35210 38369\n28533 38187\n23819 39603\n16509 19337\n24909 48062\n33026 45494\n13143 23878\n145 1501\n19928 20322\n10262 37038\n23332 29944\n13531 25765\n6829 8843\n3816 14239\n31219 48347\n10107 35506\n36168 38756\n25326 39220\n13509 39557\n1314 30987\n35395 42088\n7681 13139\n26639 43425\n1929 17482\n16885 47737\n30911 40607\n10565 36449\n31695 47936\n15409 40828\n15437 21809\n5693 45813\n21018 39073\n20715 43780\n1982 44597\n21900 35898\n6317 44839\n1682 18338\n33167 42969\n4132 8461\n8828 46099\n31010 44962\n6114 37587\n4751 12169\n13062 43746\n9727 26764\n19438 36327\n2738 38298\n7796 39916\n16758 37199\n12430 29901\n534 14133\n11658 28471\n25812 30534\n2511 25148\n19745 47849\n5025 7212\n2271 37343\n23472 33425\n6702 47641\n12375 17350\n8393 42027\n9392 36303\n17334 17967\n39135 48271\n25410 37141\n22406 26439\n7941 15856\n27784 33353\n8087 13581\n36650 40699\n12871 40851\n11299 22413\n6151 41709\n108 8261\n189 43410\n20741 26159\n19577 24023\n41315 43065\n581 24708\n2569 30284\n692 25651\n5551 12657\n26549 34408\n2217 12117\n10895 30788\n19258 41614\n17997 23387\n33862 33894\n3844 16726\n404 17665\n7708 11636\n38646 41286\n37714 44921\n4327 27870\n1748 28312\n42783 45000\n20441 40175\n1362 4414\n1801 26002\n7122 31581\n16692 34397\n14841 40311\n3242 23599\n10631 42996\n15087 42898\n27097 30411\n13336 15465\n11928 48134\n14983 42352\n6745 26051\n16085 25275\n8784 9526\n8686 47208\n26763 44209\n20286 20314\n3407 38558\n20056 32314\n439 2048\n12947 39561\n31279 34924\n37965 40327\n23258 25779\n12735 33479\n31667 37569\n19398 20133\n13835 31871\n11262 32023\n10354 40488\n8363 9389\n5260 44686\n19369 26119\n13196 30926\n31872 37889\n6560 37190\n1548 37226\n17054 37370\n152 1173\n11918 15691\n11348 27112\n21457 43313\n25922 37481\n7422 29491\n9139 22827\n12396 28850\n1434 14538\n12836 29980\n17292 37759\n971 9427\n5600 32151\n2339 12869\n45538 47715\n18339 48152\n15210 28476\n10742 16969\n16612 41189\n28054 46212\n40075 44363\n16817 22453\n11294 42935\n18808 42955\n25544 30552\n10980 18678\n8329 17305\n41638 41819\n9810 36104\n1956 32653\n3249 6385\n10236 19712\n1254 39336\n13132 36568\n5110 19171\n29050 33931\n26197 27716\n16484 37852\n4263 36096\n11003 34224\n36698 43611\n19812 38458\n2729 8792\n4073 35762\n29048 31694\n31618 45771\n884 48674\n32784 36990\n36976 40925\n845 30138\n17403 37529\n15423 21712\n36251 38735\n13071 45504\n34213 47308\n30250 43096\n7232 26489\n23761 37353\n46972 47424\n9677 18514\n19907 30520\n34949 36490\n19977 21941\n360 6622\n12790 21792\n16801 25383\n22546 31281\n17996 30961\n39399 42129\n8327 24233\n615 46471\n9073 18232\n18323 18860\n13687 23058\n28342 35625\n38443 38705\n17039 30472\n9970 27824\n6676 22626\n4955 33728\n24874 33900\n15228 33583\n13927 28396\n31375 40811\n5491 38289\n3811 37443\n33424 46762\n14210 29487\n1282 39434\n10589 45319\n8128 42932\n5127 37724\n23980 36525\n18614 25411\n29150 31538\n3481 16999\n35456 40614\n29530 30116\n10576 28547\n6331 21656\n8197 20864\n15656 15792\n13093 37021\n9046 13533\n16396 45956\n23661 24759\n9128 39463\n5619 20745\n46439 46992\n38996 48539\n18636 39829\n36887 47192\n24100 44560\n33338 41308\n16146 29976\n16265 34297\n35371 47910\n14420 46476\n27808 42404\n41708 43843\n4165 47880\n28983 45181\n39164 40786\n7722 19469\n5086 31751\n13765 19553\n24835 36153\n34966 39158\n19207 42357\n41599 42365\n9943 26999\n2051 20960\n9509 45396\n1857 32162\n11401 19997\n10021 22731\n13289 19030\n16181 36493\n18405 37909\n214 8046\n4982 31384\n23570 42972\n15360 37370\n974 5487\n23071 28339\n14543 40410\n5338 24424\n7702 41787\n3386 22592\n7162 45546\n6053 11520\n3124 48547\n2808 33319\n14899 42791\n22297 27672\n18205 43134\n6056 33709\n17036 39817\n3444 45700\n9880 21812\n24855 43954\n13787 19687\n16170 38254\n23820 42550\n8077 11057\n26965 38383\n41106 41684\n12777 24612\n3462 41678\n19426 23234\n30186 47546\n8992 11333\n25387 29209\n23746 27347\n3234 24999\n15149 42445\n5229 5772\n30901 31648\n7797 25849\n20983 36109\n29529 42926\n9193 11191\n334 40649\n42197 46826\n2514 18873\n8509 45847\n25820 45160\n26373 41430\n9633 25211\n32740 42625\n15670 35620\n8966 31493\n34296 41168\n23976 37300\n7538 41158\n13780 37431\n24795 37058\n24946 45083\n971 32560\n6117 32506\n30575 39224\n29040 36400\n31207 35680\n10964 21559\n5583 30176\n20523 36590\n4981 11324\n19788 41252\n44204 46648\n38954 45923\n4399 40740\n35199 35268\n17283 44071\n43191 46993\n38116 39802\n17676 29637\n17111 44680\n16752 42954\n27172 34605\n22212 37516\n9513 28427\n19278 33958\n7140 15949\n5295 17242\n23277 31901\n22687 37786\n34351 35375\n9670 19008\n4042 24389\n24707 47844\n6834 42216\n29654 35394\n20138 46222\n26228 41972\n6241 48022\n5467 22097\n7849 21932\n14091 39028\n441 27425\n24715 45924\n28761 32728\n9704 15438\n3903 39405\n27972 48653\n730 9368\n8400 24908\n836 45613\n23 46845\n32070 37134\n24930 28856\n23402 26825\n1093 14025\n30004 45854\n27852 40964\n30127 37436\n11869 48341\n15018 36507\n4296 42597\n31416 38830\n19288 43804\n1668 46538\n40321 40999\n9960 48191\n151 8183\n29918 36799\n1157 44250\n3821 42398\n5931 28887\n5372 36763\n15793 19955\n7133 8346\n3106 48667\n37519 47055\n5678 45050\n36143 37131\n10542 25441\n27459 44175\n15030 33541\n36652 45196\n20262 46885\n4997 34199\n2877 26087\n2997 21245\n19120 30810\n6514 27941\n2404 15471\n1662 8456\n5960 36806\n5218 23034\n11402 29068\n16255 21678\n6338 31056\n32360 35513\n8640 43803\n13451 34994\n6764 19992\n9699 16216\n3473 22425\n3210 13054\n4188 47816\n23441 29494\n28468 30833\n28573 35459\n13499 30579\n33411 39882\n42755 47425\n28121 43065\n26582 41765\n14747 39076\n2589 47940\n262 15262\n21846 28958\n20273 34409\n11249 47755\n1135 31005\n32576 35993\n2444 44291\n32200 32291\n5493 38035\n19732 21720\n15465 30886\n46589 48645\n40927 41189\n19952 47210\n5327 16001\n37968 46719\n30170 45821\n9889 26991\n9282 15327\n22261 42730\n5197 34945\n28352 47642\n24919 43748\n22711 25463\n22080 24331\n22310 43159\n17855 29576\n4087 29723\n2081 36002\n4928 48455\n1949 12594\n11855 41285\n24131 41790\n16391 17343\n19701 36598\n9591 45301\n39209 48398\n16976 41131\n1272 16613\n6756 17471\n13330 23197\n24141 44221\n22286 38378\n15711 27181\n1986 34091\n8435 27919\n32366 43145\n1242 9478\n16454 42702\n22248 41858\n32890 36450\n4720 34412\n38441 43823\n5388 30715\n25138 29656\n970 21828\n1244 10744\n8370 27203\n1883 20387\n19236 42364\n15331 20919\n23061 43734\n3520 42932\n4962 27818\n38547 40197\n5727 47956\n11469 46279\n10217 30997\n2781 35851\n70 18549\n13386 23206\n22894 28032\n4674 4754\n31003 42462\n35917 48291\n218 4903\n2375 6935\n34546 41536\n4983 18234\n42279 47784\n5358 48318\n9174 15815\n12509 18797\n22009 23943\n36053 47439\n2953 40053\n3917 6859\n3122 38242\n11641 26741\n5313 44916\n17011 20708\n11654 35631\n13412 33988\n28972 30938\n17170 29392\n44284 48146\n13194 29915\n512 3833\n3966 4430\n19115 39516\n32491 35086\n13916 46541\n32263 35691\n5388 46007\n26822 46899\n21649 31368\n10088 45503\n5101 33376\n5578 8108\n268 7856\n1200 13594\n30444 39301\n9460 20852\n5451 6800\n20826 20975\n24981 27799\n9892 43023\n7021 39719\n42034 45934\n8147 16862\n8678 37294\n12526 35626\n27303 45814\n43528 47850\n28959 33204\n5185 26317\n26318 31701\n1243 23298\n21599 33285\n6048 38692\n19186 22426\n21925 47768\n16128 19477\n7969 32027\n16315 47058\n13666 14987\n18545 30973\n3290 8266\n35006 36787\n23120 30004\n16876 47419\n21888 36154\n17230 40226\n17494 29811\n23641 47842\n38898 44053\n2150 20919\n35 48636\n38311 46664\n13367 15216\n21856 47873\n13219 13230\n6721 11931\n16131 33577\n9565 24081\n9610 34615\n16263 24304\n3732 20228\n38211 47183\n42698 47889\n6577 9489\n3495 15671\n35232 46296\n20644 46404\n5504 30072\n13694 44907\n15528 48289\n9917 47099\n21867 22392\n19822 43523\n16241 28513\n6223 40170\n8508 32884\n19388 20959\n11263 29755\n15126 33989\n6148 45855\n8251 29373\n10949 16792\n41377 42479\n29163 45072\n437 9279\n5865 25741\n14441 43322\n3466 5227\n2305 37613\n8682 34283\n26747 33574\n16102 16917\n7078 42193\n19150 42094\n9589 36030\n17390 25518\n34598 41667\n16887 25421\n31499 36036\n37648 41682\n33269 41988\n6630 19140\n26341 37253\n12362 17324\n20926 43165\n231 41491\n39777 42408\n2655 15041\n2254 3034\n9820 18702\n3324 22352\n7159 18226\n20125 24489\n16903 29404\n3715 15397\n12343 47335\n23207 24024\n35237 40771\n10169 12656\n18717 27089\n26936 47927\n3119 37935\n18673 44546\n32571 47614\n15745 36097\n11832 17983\n5668 12514\n40060 44213\n40917 46197\n7374 40896\n20086 48146\n7913 20545\n21994 40540\n11814 24920\n3659 21581\n16348 44505\n30240 37454\n24323 41496\n2657 19622\n11699 40930\n1485 5430\n11109 26870\n14209 15528\n1096 20206\n15530 48571\n4367 25393\n20540 34484\n4606 31533\n7736 15258\n17401 38657\n20698 40086\n8012 26871\n18841 23829\n2587 16576\n17963 40750\n12462 16240\n1627 3594\n39346 39804\n14718 30574\n10606 36240\n31341 36890\n9982 16565\n2148 17251\n4411 9573\n21679 26246\n4864 8623\n47031 47312\n4797 46587\n12861 48382\n6054 29987\n16545 22584\n12753 14607\n14418 44672\n38121 40140\n5054 13976\n17843 37908\n40532 45672\n28612 41666\n26518 37888\n10666 32646\n1553 30660\n31988 42984\n28582 31429\n8239 36609\n4960 6053\n14188 19567\n7159 18176\n18333 37412\n6048 44234\n23117 34057\n6091 11336\n11748 45591\n8150 46083\n2145 21921\n5864 24353\n2130 2906\n2729 7904\n3668 42052\n6236 46400\n42154 48340\n20095 42779\n10519 40894\n15639 43106\n28016 37771\n13480 29964\n28309 47226\n11910 46273\n5644 26623\n9134 43684\n14279 23618\n9242 44897\n24009 35591\n16751 21746\n1873 5891\n40730 47367\n20963 33059\n13388 46724\n21140 44442\n5535 21045\n6387 22077\n11194 47133\n36640 42089\n39838 43720\n26307 31740\n40558 46075\n14238 37541\n15473 24377\n20052 36012\n6537 37038\n12748 40403\n8492 21236\n22923 23179\n15720 40240\n4255 17615\n4543 38467\n31395 32977\n35016 43516\n12568 14747\n12165 44539\n7013 35608\n26452 33172\n16377 44691\n6601 38741\n27464 30801\n2352 3139\n31256 38240\n11814 33690\n8605 38988\n6918 13812\n3750 32870\n9233 18790\n17134 34733\n1425 37865\n953 6480\n1435 11322\n12606 46500\n15810 41242\n8359 46223\n4860 43885\n41323 46156\n22402 44134\n13635 28351\n14444 43014\n26694 36977\n12220 12875\n18860 48185\n13803 18616\n36931 48025\n12223 25017\n6158 6439\n10996 40746\n35302 39910\n23479 38911\n3371 26692\n12013 33886\n25998 30276\n1493 30886\n27776 39868\n2073 18957\n457 22814\n6118 26903\n4824 6338\n37745 46321\n17804 37408\n40605 41740\n14765 43845\n36615 37188\n7316 46072\n16193 45390\n9096 10828\n13766 36445\n39770 41777\n20214 26619\n27563 43634\n7441 30927\n38963 39006\n33161 37603\n8345 21138\n26866 39433\n433 10694\n11672 39867\n41078 43245\n13844 37298\n13133 17910\n17695 40532\n3112 16848\n20706 47028\n30614 34067\n13096 15104\n20934 37878\n26385 44943\n13379 43451\n4701 45523\n16071 35001\n24333 43947\n36779 46197\n716 4111\n178 17634\n6239 18961\n5115 14399\n6751 15456\n2868 12052\n4308 37327\n9979 39679\n1348 34775\n30858 37200\n32840 42510\n18475 38048\n17467 25655\n6756 46190\n7315 9337\n23147 25950\n25181 33710\n17630 36592\n18433 22837\n34359 46103\n23043 38949\n4184 22248\n17726 43565\n19319 24658\n21116 21338\n32848 37415\n13864 39837\n24923 41338\n23423 32137\n10436 25196\n12985 43421\n28426 30740\n7951 34241\n26718 41923\n10110 32633\n9221 26685\n2047 13320\n9858 40361\n28804 39239\n28158 47639\n23286 46393\n19442 25430\n34266 44510\n15320 44106\n27872 35546\n4909 35992\n17801 43064\n1242 14479\n3100 34937\n5768 28125\n12158 12696\n6217 23113\n30546 36925\n34506 43821\n25897 28920\n14619 35283\n27800 36709\n18232 32379\n33543 35170\n31051 34102\n2253 21468\n15150 27789\n18333 27967\n16327 27116\n5480 17582\n6785 47714\n23534 24690\n8057 14641\n23024 30881\n4179 28933\n16695 48163\n31067 43342\n26904 30671\n17198 38812\n1568 14980\n47 33162\n10554 18691\n1849 2759\n8878 39177\n23416 44134\n5072 31029\n11429 32339\n326 38349\n12142 47857\n17439 20469\n983 40537\n32360 47774\n23507 46066\n40773 43665\n3584 5813\n19816 32559\n17077 18631\n34904 45680\n37889 45055\n24391 27990\n831 29188\n11593 21202\n2070 16265\n13556 27232\n26495 42441\n12959 31511\n3571 36303\n7828 14035\n2962 10815\n34457 38487\n1925 11770\n22763 24607\n20605 30509\n8690 22942\n2114 9628\n34154 42704\n2206 5651\n968 16362\n7974 9269\n15674 40525\n603 12435\n32478 40760\n31954 42935\n16533 18154\n18958 24107\n28574 47592\n34023 39631\n8272 46408\n25161 30756\n21730 40870\n21357 23011\n30152 47428\n7158 25647\n9825 47525\n32107 46506\n9770 37870\n16020 21273\n6538 41499\n9665 40457\n14477 33621\n43015 47956\n31222 47640\n14196 25804\n21464 31815\n25072 37109\n19386 36615\n15286 44840\n29011 34783\n13468 39137\n11717 11756\n15980 26099\n2831 35928\n16669 17917\n14254 15632\n36681 38122\n31060 37474\n9068 40587\n14645 39609\n6924 20556\n20307 28975\n2886 33900\n21006 47269\n10500 38715\n23526 36006\n4082 9446\n10962 32399\n6141 32147\n177 44468\n16421 28221\n23574 26214\n13221 24325\n19275 33927\n4509 21432\n516 9240\n8651 47234\n1270 40743\n3547 27161\n247 26405\n9170 42730\n23894 30632\n4619 20862\n5916 44417\n11256 45099\n2191 34453\n17092 34544\n10984 14668\n10855 19192\n31541 40143\n11467 21889\n18720 37999\n10882 29282\n3205 20081\n11766 42277\n10561 35797\n41627 47458\n31154 40671\n10463 26097\n34812 41702\n5615 33910\n11061 43119\n19043 33099\n2348 39103\n32313 39927\n25674 38621\n22805 45408\n14630 38721\n16289 26112\n32037 46617\n6066 11270\n15619 28641\n21478 30713\n16696 41500\n5614 26793\n3088 21610\n21874 32721\n24225 36664\n6006 16013\n18582 42892\n9634 24236\n11723 16220\n19624 37964\n35186 45354\n20446 25500\n37636 46337\n36983 37242\n44647 45176\n10086 12090\n458 18263\n4322 21638\n13922 44735\n1369 4426\n16194 16573\n21444 29223\n7714 21678\n17512 32780\n16715 25095\n19722 35782\n13702 37523\n16225 28738\n19320 45710\n30964 46829\n9146 21269\n11046 24543\n29381 38995\n378 13512\n12961 47363\n6760 11379\n1916 12833\n23865 34258\n32188 36938\n7496 36999\n8218 9826\n24870 26257\n37084 45362\n16785 27989\n35799 43248\n1026 38917\n2368 42230\n2200 7112\n5248 29515\n20173 24536\n33214 37683\n19855 30081\n1300 35831\n32545 47963\n20671 46060\n2759 16155\n20220 37752\n13901 17335\n20584 25246\n16609 29539\n8676 35768\n7072 14911\n13023 16455\n3502 16496\n12006 30256\n12563 47379\n439 36349\n7048 12063\n15881 16618\n1963 24499\n34994 44005\n13325 41318\n3173 19677\n4660 43618\n25096 37026\n20996 21643\n15698 24286\n22809 24460\n1359 44460\n25744 43296\n35363 46828\n44048 44687\n18933 44858\n21743 30761\n16041 17278\n4197 6473\n20913 44362\n7849 40956\n6551 35844\n1236 24414\n545 7578\n5701 7092\n27680 37826\n9493 31131\n25195 39326\n21653 22104\n10281 34067\n5281 38640\n7082 43514\n17978 40704\n30736 42828\n5347 33692\n12467 37349\n1065 13811\n8279 41111\n22062 29361\n9471 30003\n29488 40917\n38310 45321\n349 22567\n7228 41390\n12713 32969\n12021 25312\n1160 5328\n18480 19333\n13135 20219\n19450 20527\n438 13948\n490 42111\n4274 43012\n15508 17833\n28379 46543\n28162 31598\n14411 39650\n22391 45512\n21781 41464\n10720 15639\n11540 23982\n4678 13231\n34001 35376\n33425 38756\n12285 23314\n14346 35758\n21742 46684\n25032 39299\n36664 44876\n6381 8173\n23255 23469\n34970 41108\n25327 41574\n28952 46861\n16201 28498\n435 41293\n31062 32256\n34554 34788\n4785 42473\n33358 47577\n8531 39349\n17160 18301\n1625 3996\n20809 48590\n12667 31765\n3614 21604\n25141 38893\n6618 34641\n10495 40435\n28167 34008\n42625 43221\n2404 22309\n20262 36182\n9698 25100\n12825 45669\n25618 32190\n110 47283\n10832 34942\n35689 44145\n25533 29267\n11301 45861\n4623 9604\n8770 11585\n16094 22314\n41229 44983\n22280 23381\n4130 16268\n16096 22037\n42865 47220\n25315 28689\n16304 40466\n1678 4806\n20309 21113\n10575 24778\n7592 19750\n28486 34387\n30151 38597\n14334 25260\n675 22889\n1888 47083\n11381 37028\n30095 32538\n18084 25587\n3283 31540\n7033 12999\n7197 26281\n9879 25638\n5438 11445\n21620 25820\n34210 40673\n14210 43814\n39336 44688\n30812 46769\n11975 46085\n32904 45559\n5637 7348\n22086 24639\n22055 45731\n11081 40860\n1245 15916\n38224 46270\n34336 42606\n2171 29835\n12568 21839\n34092 42671\n42349 46433\n11803 20541\n25953 39367\n3806 38637\n7027 19050\n14549 41139\n2129 41966\n34391 46111\n16322 22949\n22206 33055\n14290 33097\n11359 45900\n5313 16051\n4342 23380\n18311 30259\n28494 39452\n15558 26872\n19725 25446\n1003 48047\n32817 47063\n16612 40944\n31171 39823\n27382 41519\n18589 34749\n9484 23824\n8353 28884\n22094 46230\n9184 10072\n1510 12836\n6665 15965\n6580 20028\n12651 44832\n13607 27732\n2020 24514\n10983 39222\n10876 15649\n33970 41621\n17302 19354\n33320 39490\n17119 24531\n26759 33878\n4135 13314\n43670 44230\n22059 42889\n35308 46626\n6350 34754\n15383 37187\n27778 38695\n34031 45308\n11469 23060\n19249 28966\n1231 39379\n1354 18720\n3474 7484\n12444 44008\n4194 10313\n47883 48677\n3530 21532\n35130 40222\n19575 21147\n10500 26450\n9695 24917\n7337 13812\n8679 29969\n10521 23041\n27482 35850\n29368 34977\n3410 17262\n9476 23222\n22741 41300\n12484 36658\n12047 42457\n7216 16449\n3085 41692\n755 32103\n11639 41038\n4485 5243\n1179 4630\n16907 34232\n25521 43625\n38576 42417\n14109 43636\n29100 29182\n45607 45695\n42568 46338\n31625 32863\n36151 47766\n6625 28612\n28262 34360\n43260 44211\n20792 27043\n26615 29513\n39885 45788\n461 21134\n20459 27539\n4761 8113\n4643 43381\n9475 13592\n16308 22320\n22637 29058\n31468 34163\n3970 37129\n7686 32101\n8888 12861\n4001 31094\n27447 42637\n16552 47702\n4869 9968\n23150 29988\n925 31082\n30452 31317\n20617 32775\n34653 42357\n5349 10774\n33409 40257\n4216 34240\n6607 20697\n1363 11906\n11109 37835\n12795 27170\n9021 13327\n19644 42174\n380 24703\n15092 17654\n4809 14184\n12129 36253\n36316 37269\n79 18111\n35189 47855\n30265 42887\n1970 6073\n17512 44957\n16698 28079\n39014 42313\n34711 40284\n46855 47736\n19413 20498\n21351 21881\n36849 40853\n28753 37747\n4549 36832\n5325 21825\n14752 23387\n13439 43187\n29830 48543\n9732 38576\n30413 36367\n6034 48022\n1340 30027\n41659 48581\n6388 42299\n4224 37643\n19349 34698\n6964 26408\n2325 39599\n18863 43768\n48244 48433\n4673 18035\n11793 26018\n9039 40988\n26189 27117\n6817 40087\n6007 7957\n30710 46325\n18280 46951\n24007 40734\n18299 22689\n24808 39593\n10956 43934\n17278 44916\n11978 22400\n22056 47471\n27933 37869\n16813 40226\n16487 37307\n127 2244\n9787 14903\n3338 23871\n5146 18301\n4115 45800\n4420 15198\n9799 36834\n11218 18354\n12053 16675\n46082 46187\n8504 47566\n33246 38285\n2847 43552\n11229 33017\n35557 42731\n35997 45596\n12017 19500\n5483 24893\n21237 39853\n26742 27947\n5106 26671\n4790 40206\n47 23869\n9852 13012\n17679 36511\n25600 44872\n29331 34216\n18604 23867\n33225 38968\n37573 44691\n9364 11783\n22579 25631\n9403 35470\n25776 36404\n44131 48210\n39851 45113\n38317 44226\n40983 44718\n15996 29358\n15360 37752\n15187 36327\n9999 16022\n9160 17287\n8222 10833\n12807 33935\n20369 43388\n13356 27162\n30371 30571\n597 44588\n28222 45357\n32497 38885\n39554 42858\n39237 45747\n33080 35918\n19207 24685\n24576 41651\n876 22356\n8601 33563\n9518 25680\n18270 34679\n12752 31410\n18348 38123\n33702 38283\n11558 27276\n1912 40559\n20982 41950\n42190 47706\n15362 19607\n3057 28827\n2075 16008\n23218 29996\n2280 6000\n16880 28387\n1587 11006\n40768 41168\n5835 24695\n7518 44253\n1204 15327\n11228 14117\n30864 41597\n8958 18065\n19010 48507\n9979 29215\n1672 20670\n43319 48061\n14812 37230\n27039 43960\n18257 29128\n20783 43876\n12272 33606\n10087 10785\n13359 44954\n25431 39386\n34498 35960\n2190 32798\n23145 43971\n4540 7962\n39085 44349\n34224 44147\n15457 22238\n12628 32979\n11530 47603\n2598 10127\n1966 46388\n1093 42761\n16004 48616\n14670 32576\n8605 27675\n18058 26036\n33298 48513\n12138 44444\n13668 25737\n28783 45639\n1227 33471\n31737 45047\n10561 35820\n7787 31231\n28757 35320\n14711 20418\n38443 43453\n10817 20626\n268 5061\n8105 46791\n9291 47610\n39665 40208\n32583 47922\n14673 20459\n3864 34592\n5444 47623\n16762 39389\n7026 28015\n23462 30054\n19414 27005\n37767 39923\n3267 28297\n13834 32228\n27164 33990\n15033 29986\n267 42000\n13477 40598\n3094 37796\n13986 28680\n28365 29540\n10707 46114\n19548 20641\n1796 22128\n23439 24315\n31362 46480\n14582 14825\n6032 19614\n22840 33427\n11359 45086\n36509 41467\n39427 47781\n4935 27630\n11847 31769\n6216 17905\n7265 20744\n1826 27153\n9899 36959\n13820 41326\n10921 18814\n19894 37670\n14043 35700\n7689 30069\n135 35728\n7042 28496\n20645 47689\n33909 34603\n29468 45471\n15335 18354\n11247 44701\n21410 24093\n11968 35687\n10655 37294\n42343 45018\n4040 22636\n23402 24092\n24347 39845\n4631 18612\n10135 43224\n10120 24989\n17312 37815\n30408 43352\n10812 48554\n26296 30327\n19449 29248\n27751 46784\n23523 29563\n23010 32959\n6896 25383\n14710 40076\n7380 35774\n17785 25794\n12669 27172\n13298 36388\n5 43429\n12862 33970\n1725 12064\n22247 26300\n10469 46327\n9144 31205\n541 10086\n26865 46767\n3277 31378\n6863 21332\n24462 29775\n27448 40652\n11246 26608\n3566 36035\n30191 37629\n10590 26868\n33868 43149\n20066 32732\n14477 34482\n12311 41820\n37880 44258\n9858 34180\n31158 41863\n7551 17911\n2227 23663\n33340 40149\n16272 31434\n6745 46933\n31977 39343\n7674 33160\n4525 19754\n25580 29729\n14755 45988\n18314 21829\n2668 9604\n30647 48633\n2024 14062\n27729 46977\n18224 28844\n152 18275\n38121 47623\n3241 41112\n15163 23797\n5733 18933\n14732 26302\n8995 42826\n4443 13543\n658 41334\n28071 43431\n22302 31630\n12557 47015\n882 21197\n4107 24977\n4084 27423\n2931 46280\n6046 29422\n14657 29146\n17373 39369\n25547 41299\n40047 40845\n6007 26849\n19078 41432\n9206 31917\n18591 48392\n2390 36409\n4499 34885\n4013 5167\n40935 44991\n14224 29422\n22999 36228\n21610 32408\n32605 44676\n5385 22838\n11735 32695\n16835 21725\n30996 38741\n1747 37044\n1931 12957\n24586 37349\n20512 20715\n28173 38307\n2322 37216\n14804 16100\n19031 30860\n15602 24438\n37096 39848\n6009 29956\n12839 24248\n6117 35439\n2419 5403\n35450 48443\n24904 34157\n38524 40036\n5633 23341\n14094 48459\n12624 23966\n28507 36084\n12135 43237\n4013 45648\n19030 36635\n6772 28283\n42562 42706\n28513 38738\n10313 39168\n3076 35658\n34889 40580\n8288 16738\n483 22044\n13855 30170\n19716 35916\n5616 15311\n17166 43016\n10117 28315\n33693 47839\n5393 23567\n5708 28509\n24609 47067\n2344 33953\n18083 43125\n14807 33948\n37021 42518\n9362 16731\n1767 25737\n23923 46413\n12244 35554\n39149 43025\n21556 37799\n13575 46377\n9090 17031\n30495 33508\n10106 44578\n8985 13993\n30689 44995\n8493 39553\n19038 41085\n18150 36103\n21698 28600\n14261 22923\n28099 30386\n5408 23477\n6465 16013\n5174 14986\n29257 31304\n21521 35558\n19875 33339\n6679 10681\n5053 33106\n26233 42556\n177 42369\n10655 39586\n4943 20598\n8340 34789\n36436 46921\n2515 21980\n25807 36097\n19951 48219\n26463 41152\n18568 39403\n2649 5962\n19150 27539\n38520 44359\n10127 13782\n29635 37122\n41566 47412\n7430 25993\n9288 30229\n22697 47264\n26066 42949\n2997 34953\n6227 21085\n19993 24761\n37729 44102\n2346 9566\n23498 37946\n28179 34637\n1314 25109\n8980 46253\n11049 16062\n4404 24381\n30831 42698\n40072 43547\n26098 39025\n40867 43741\n33281 44844\n21351 22355\n12231 16718\n45783 47545\n28077 43494\n1812 8009\n6348 10605\n29075 36872\n1565 8249\n11663 37076\n32173 33115\n39302 39810\n10673 14789\n27384 35776\n21154 40278\n1168 42029\n6881 11997\n42270 42515\n13136 29113\n24790 48429\n22188 40478\n748 24975\n11372 25979\n2365 10604\n16140 28303\n32826 43209\n42724 48418\n2047 5262\n7153 46469\n8466 19650\n9598 9660\n13543 47175\n3553 38998\n30677 42441\n12925 17667\n2094 40662\n2451 39138\n16651 18067\n13145 38952\n27744 28045\n25092 46281\n38462 40257\n20549 24978\n43844 46182\n5974 31113\n4447 37293\n8678 47414\n11584 39255\n17017 39819\n5664 21340\n21414 42399\n38918 42142\n2364 3582\n42272 45820\n20969 39429\n734 41933\n37978 44977\n21010 28135\n21961 39440\n14328 21489\n8097 46114\n5389 21767\n33553 47620\n9614 20698\n11264 30715\n38666 39095\n22061 46093\n33081 48416\n21205 22436\n33576 38954\n13424 26565\n1029 11405\n10965 45790\n27766 29642\n21170 34403\n8182 11248\n640 5907\n5732 8623\n24710 31118\n27323 30664\n30670 41252\n2212 45033\n35773 39256\n11430 20571\n15678 41929\n11515 35998\n597 22974\n9731 44565\n3415 8769\n8504 36940\n1482 14750\n11933 44146\n35897 43178\n7023 28281\n10892 24326\n8437 37666\n3520 26720\n2009 22758\n24222 30119\n8343 22011\n11376 35906\n2982 19526\n8081 26664\n14754 47123\n29463 33450\n5533 8102\n1571 10683\n10725 25801\n22048 35457\n22913 35944\n21037 39919\n4816 7285\n17800 46825\n44983 45663\n26694 45723\n19394 47090\n30717 37662\n13479 15994\n20288 45890\n1375 9481\n33892 42959\n18045 35508\n7861 9244\n11161 36682\n24491 31792\n6737 26023\n13840 18680\n30709 41238\n3528 44484\n8097 16911\n2144 28517\n8611 14629\n7034 13320\n34390 37289\n3759 5586\n19940 42583\n36758 48162\n9709 35131\n14336 32860\n1858 16474\n13924 43133\n16861 36801\n24644 41971\n25750 31403\n22018 45289\n24946 36194\n24228 26801\n8259 31674\n26837 33824\n6895 21075\n23445 42236\n2852 34092\n1115 38263\n44489 48033\n13101 15003\n1898 9588\n20874 41556\n16041 36607\n34226 44364\n34409 45463\n17165 29749\n28193 31202\n26010 29580\n28891 31613\n15796 26442\n16057 37822\n4953 47440\n5630 25876\n18456 32848\n19216 37134\n4988 21986\n22190 40427\n10320 46036\n22401 29547\n23591 30021\n576 15342\n2345 44552\n2788 17442\n855 46855\n1248 7253\n1065 20763\n6091 18921\n10245 44672\n21371 44408\n16057 29111\n7941 30666\n1073 25401\n276 26607\n17240 24047\n30938 35616\n15359 15961\n9662 11614\n7371 18888\n3015 26268\n24681 27690\n8241 45522\n21040 44275\n100 44898\n1372 24849\n38473 40776\n33394 43890\n42700 44650\n4020 12938\n3849 36322\n9998 43334\n1994 9329\n10262 36275\n18979 21045\n6592 9277\n2850 9101\n31931 46975\n1586 28544\n10869 24977\n20062 21515\n16825 23601\n193 17431\n18677 22930\n7199 33276\n7437 45009\n4095 9938\n32656 34893\n5474 24444\n18758 28406\n759 20972\n9846 33594\n24445 28151\n9426 17474\n19394 47900\n4606 38396\n38290 42790\n2760 45149\n872 8536\n25858 44384\n15917 22869\n10250 46100\n35123 47894\n16085 16376\n4762 25610\n22561 25082\n25674 42915\n14323 46091\n4249 41281\n24983 31226\n2581 21920\n6043 22045\n265 44245\n26614 27482\n1541 48237\n7072 8619\n19423 45192\n8349 21137\n2992 45823\n7162 39342\n18557 47841\n2304 34125\n29723 44104\n30228 32186\n6095 19550\n15925 18956\n23560 46209\n8989 31085\n4941 27398\n2661 32938\n23256 40531\n7083 32727\n9401 19450\n24556 32467\n23219 29696\n339 45845\n6344 48218\n912 47841\n26784 44087\n29555 43782\n16846 42836\n674 26514\n6408 46394\n15035 43078\n24341 34476\n297 13765\n10494 14114\n18255 40318\n32224 32271\n7635 42898\n38662 44790\n8222 47533\n29759 48569\n9284 33777\n12304 27302\n26440 45835\n27905 38608\n4136 40617\n32539 44933\n23266 43560\n15554 24476\n3368 37011\n946 34375\n10847 29692\n7794 26781\n22198 25031\n15745 27861\n3863 10790\n10183 13362\n32747 47573\n34497 40536\n327 10593\n38248 42181\n6537 14280\n26509 34186\n3864 9532\n16317 16536\n31890 42903\n19598 34046\n3504 22869\n26318 47335\n9279 14524\n3439 14773\n6045 34250\n6557 10225\n13610 28326\n15487 44103\n8340 47769\n41511 45300\n16491 19327\n34325 39360\n12268 15681\n9251 38221\n5514 12381\n18559 45466\n11103 18770\n29002 35469\n28953 44608\n28693 33092\n31602 32802\n19306 32086\n23583 42376\n12529 34070\n5397 13929\n2366 5991\n33297 44388\n27377 36217\n6074 19727\n13189 47228\n36883 42131\n10928 35537\n6645 29337\n15543 37422\n6285 41107\n26094 40416\n16482 17730\n11132 35149\n15291 43176\n14697 17076\n16141 43306\n28841 31945\n18757 38994\n15133 21204\n8945 21533\n15645 25053\n20958 38428\n14502 38716\n2493 30029\n133 45320\n30012 34595\n9910 47165\n4925 31889\n4172 34636\n5573 41504\n3340 42424\n32371 34352\n4376 45546\n19806 24810\n9074 30451\n21307 33351\n13166 29080\n6046 32984\n17937 32427\n35072 47189\n28659 46589\n31900 44928\n32261 37486\n706 13555\n40166 43312\n13413 25704\n2240 10796\n35421 39484\n31486 41479\n6687 42899\n2220 21530\n388 43779\n14265 35782\n12831 18824\n386 11661\n9371 39632\n39809 44093\n5066 8265\n23326 40623\n19126 27282\n23758 28951\n21850 28404\n5599 41065\n10306 13158\n3469 33656\n5656 9262\n17952 24718\n13851 42198\n17097 30713\n16081 26725\n26121 40194\n5776 36176\n17891 41800\n15799 41236\n6894 45796\n6536 7538\n6691 46029\n2276 30979\n25043 35039\n3693 39181\n2116 5264\n47711 47817\n9358 39458\n2794 8344\n20052 38148\n5885 9641\n792 47360\n3240 37415\n13256 40764\n9429 40356\n24 15681\n10801 21638\n1945 29609\n9750 31739\n42349 47935\n11136 23740\n18286 45817\n27344 43749\n9903 26061\n444 30921\n19143 20734\n11432 24287\n17647 41991\n32587 35662\n21360 37745\n16024 37156\n10100 42188\n27327 36060\n3504 8890\n11581 30720\n18378 45372\n7070 13372\n4513 47391\n28764 32171\n4107 38395\n15458 45633\n11882 42790\n6557 44174\n11141 18629\n13757 15105\n845 20578\n8136 37582\n4555 9561\n25550 33339\n2181 10073\n13326 29871\n32514 39478\n24569 39259\n14038 24889\n31870 40168\n8535 47650\n4835 32488\n9477 18428\n9768 43196\n13631 26487\n21934 30807\n23309 40863\n4952 7908\n19228 35501\n17597 40482\n17667 29429\n42832 47168\n8274 36863\n31168 42903\n1263 21787\n2389 5897\n7413 19187\n1702 15824\n37925 42714\n16372 42685\n13852 45427\n9887 37589\n36980 48670\n5047 18926\n10809 34595\n1107 46886\n24570 47068\n899 44859\n6861 19756\n5030 24417\n31422 37885\n3021 18709\n16401 23146\n6080 48078\n22137 32098\n2710 31073\n8751 9458\n11400 33734\n25138 36759\n128 29090\n4622 29422\n42834 46725\n14161 34890\n2315 29161\n25780 34833\n24877 39396\n383 35524\n11442 35075\n6352 28094\n5558 20438\n1153 12903\n14561 30209\n12866 42486\n23516 30716\n16890 39797\n26619 44821\n21204 28034\n354 28303\n22476 40016\n14478 37524\n11689 28805\n1649 32065\n10221 45021\n19733 26641\n20569 25254\n6934 24607\n33900 38393\n20616 36095\n8691 21401\n8839 34678\n4423 24296\n1192 11452\n24912 37773\n9957 29576\n23780 27087\n6057 28216\n12874 19598\n24201 46702\n35923 36371\n26186 40759\n1885 46545\n7198 8520\n274 40223\n12135 46488\n7536 33770\n20497 47224\n13855 42128\n23317 38886\n6846 36415\n25381 37839\n12356 14977\n22657 26482\n36063 42088\n24627 42668\n5862 36262\n16525 31673\n19782 35377\n7292 39168\n28037 41502\n12911 19680\n15384 43900\n13418 47975\n17066 43767\n4298 26410\n19165 26989\n1435 15769\n22190 23785\n10167 39519\n9488 44433\n15820 41279\n8996 39481\n5733 23659\n13291 41402\n11114 46991\n7291 43970\n21290 48510\n14172 25122\n13979 43721\n27010 41820\n13208 43717\n477 36379\n15446 42296\n6778 48506\n470 11384\n7721 14399\n6625 42236\n331 7908\n903 16664\n9429 41907\n20332 24126\n19798 45140\n5862 36069\n1016 43997\n24521 27071\n26451 43222\n44803 46679\n24209 47996\n28418 44661\n12853 33331\n21936 32902\n8642 30086\n30278 31118\n3155 16175\n17683 36266\n7860 22902\n20280 36430\n13844 44551\n25582 26712\n42539 44687\n14321 45508\n10509 16855\n18445 29927\n1699 41327\n7400 35953\n20558 36191\n21618 48295\n1141 35720\n15849 44388\n42657 46565\n4799 44864\n15067 26765\n28013 37987\n1668 12014\n906 9370\n19908 27855\n25738 40254\n29203 46420\n16817 17097\n18104 33769\n18034 22833\n23400 42238\n4500 33755\n1468 47185\n22552 47382\n31634 42145\n26507 29942\n21315 37706\n18755 46729\n39959 42620\n17259 23638\n43974 45173\n15041 35057\n4984 41946\n29681 47697\n14337 24980\n3753 5787\n19239 48307\n35610 46852\n6223 18874\n5422 22163\n14768 16542\n12170 42865\n10219 29908\n20727 21343\n21756 30226\n15996 34754\n1074 36299\n17712 26756\n3073 42443\n14834 40478\n25369 39552\n10051 17081\n19568 20983\n9321 11484\n23330 31717\n4394 10033\n2320 30567\n30548 43103\n14159 29274\n29721 31209\n1806 42038\n8896 11947\n40059 44987\n9152 43121\n30814 42939\n10193 46569\n21390 45567\n22317 31787\n564 21186\n4057 15656\n43994 44023\n7324 12547\n38606 40362\n24045 42241\n22988 39378\n16429 22673\n967 43232\n24912 41229\n17044 29676\n8113 11765\n12247 14354\n5659 35530\n9951 22035\n32910 46676\n14266 46954\n2590 14984\n14277 30874\n24047 40612\n22538 46429\n5069 43361\n7416 24764\n13414 32863\n8654 17265\n1241 29028\n5672 16052\n1657 9815\n2365 11867\n8183 9563\n29301 29825\n4725 24506\n23700 26334\n2644 19684\n22632 41994\n3761 15872\n19031 28112\n16862 18439\n7403 12759\n25585 31345\n366 5385\n4587 18858\n11788 48173\n13171 29819\n19006 48330\n24478 29733\n13548 13777\n20206 24272\n37789 39115\n159 37540\n12839 15570\n33375 34615\n7832 48014\n10965 40127\n33239 42162\n31645 36336\n1875 34811\n5810 6202\n33975 42387\n19371 48592\n8277 48487\n7938 8707\n28356 45831\n16550 37387\n8849 21380\n18663 37797\n2594 31778\n16674 37519\n2821 32310\n7591 20276\n6176 20322\n15197 31711\n18757 47052\n20035 34708\n12797 37935\n19249 28214\n13893 28547\n3735 12244\n4351 5129\n6933 31982\n11073 18420\n7988 29629\n21496 29436\n16981 47619\n32578 37625\n56 47604\n6943 14249\n19526 47989\n2323 29071\n18538 37019\n1876 14229\n22486 39059\n41968 48513\n6451 27075\n34467 40973\n14500 15610\n16416 45569\n24715 29783\n32221 40433\n39248 42044\n24418 33439\n7754 37648\n38740 45481\n4275 16790\n1403 41058\n38569 42696\n2226 4817\n19462 46323\n6392 15320\n8021 44815\n12144 47663\n6941 44308\n14397 17730\n21433 44284\n13893 37998\n12216 27876\n18606 18877\n12048 23511\n30397 46032\n5827 34760\n26386 36619\n27595 28126\n14251 48331\n4191 43348\n4150 39822\n9468 17114\n41167 46023\n28614 41891\n2511 45460\n3706 33633\n13482 13770\n16885 32294\n11912 33376\n22548 24301\n9903 37660\n4249 9233\n21068 34755\n44069 46605\n10841 16398\n1465 31815\n5438 31928\n12444 15117\n45472 45689\n10909 12167\n11602 18631\n20516 32990\n16270 32840\n5151 47309\n33845 41909\n6978 44302\n18722 32175\n12263 45348\n26892 30341\n12462 35108\n1987 14893\n15040 17525\n14358 21539\n3507 32785\n31337 38160\n23027 28509\n21245 28264\n23997 42621\n6504 11799\n972 47890\n7154 31066\n13954 32979\n3669 37198\n19752 43141\n5840 22824\n23809 26757\n6695 27856\n16047 48182\n10775 19956\n32690 47639\n20100 48215\n6773 27662\n8716 15929\n25636 34975\n39727 46702\n1870 8886\n7676 39403\n42778 48544\n6047 48565\n6861 34780\n3771 4521\n6459 47473\n9475 27583\n4919 48162\n11206 35575\n30167 33365\n255 33424\n738 41695\n40334 43011\n3281 20368\n23312 28416\n12454 24282\n1437 36814\n18593 27541\n16116 27043\n38354 38380\n20591 29204\n7569 41484\n12822 13651\n859 11244\n14679 45853\n1740 28426\n5285 11153\n4207 45500\n22025 31087\n29107 36943\n12953 19670\n106 701\n10838 23920\n1329 40995\n18127 24691\n5986 26937\n10220 30039\n29748 40769\n10927 14753\n6582 23008\n29493 37420\n40503 40879\n8165 9610\n20151 37748\n13996 40176\n3909 23057\n9219 31440\n26357 43400\n39044 42613\n23709 25865\n10071 28101\n10116 12155\n24004 47406\n5541 32093\n29987 39522\n15520 45909\n37284 38021\n26062 41059\n17647 40889\n24382 40497\n8067 46915\n32094 43837\n12870 33709\n9148 11164\n10535 45229\n9762 26377\n3738 27244\n20511 27575\n1642 6754\n40020 46449\n25229 25853\n23975 40754\n5672 41491\n10210 33912\n34205 43534\n813 43511\n4104 5784\n4557 38381\n3616 18124\n4990 12365\n24234 42835\n27235 48211\n22730 38624\n30966 31058\n17041 41719\n40320 46182\n2752 21110\n23161 25846\n37586 43284\n3292 11469\n4115 46126\n272 20705\n33103 33316\n11142 29176\n5195 27295\n24754 37128\n15886 40730\n10969 23318\n2723 42137\n11024 36173\n3601 37266\n41344 48470\n32827 46407\n24025 42829\n3558 32333\n5488 34589\n10438 13865\n1846 39891\n10611 38311\n32039 35175\n1509 15010\n8464 19522\n27179 40897\n32356 39485\n10431 15984\n1193 4023\n32304 32901\n6835 23301\n23335 27317\n28885 38071\n10606 43610\n29198 30303\n17902 36186\n13698 20352\n25048 29286\n5671 15593\n11549 12009\n4517 37866\n24920 48040\n10597 42718\n38167 39500\n12972 35822\n20054 37116\n15568 18513\n24447 28474\n15514 33795\n33352 42508\n13704 16037\n6653 31288\n18789 24346\n16559 40142\n3090 14016\n9803 37530\n6339 45036\n29737 36071\n31666 33694\n5974 12315\n9312 21564\n20980 21979\n18401 28334\n15200 20230\n4589 22011\n13207 32006\n3481 44483\n4326 19922\n10975 40061\n34951 39571\n38916 40382\n14210 47554\n6425 39262\n7833 15668\n36460 47627\n23317 41017\n4109 28750\n24499 40791\n17708 30253\n3137 5915\n21464 44205\n1298 36082\n586 36511\n34249 40524\n8939 35287\n11231 37037\n25313 47923\n27766 48380\n34497 42642\n14365 32866\n39787 46524\n2473 43505\n4910 23665\n6874 6933\n7245 20087\n3121 37576\n1428 14952\n17310 48100\n17075 30992\n25308 48030\n11917 16415\n19670 43237\n10794 26474\n12517 16733\n8148 43017\n32861 45374\n11961 46448\n3675 18386\n7126 20193\n34455 44022\n22887 28639\n35290 47543\n18110 28217\n38497 39790\n818 1359\n97 48230\n32849 42486\n12392 25917\n40916 42818\n11600 47766\n25838 40450\n16553 24715\n107 39704\n22309 29754\n20970 46739\n18156 27453\n6266 29048\n11 43788\n27319 36295\n1386 20229\n13646 33474\n7241 29476\n36739 37064\n13455 27842\n7730 34288\n31931 34093\n10342 13600\n15559 37428\n3678 26099\n17178 38037\n21997 34059\n24437 46017\n22973 36923\n30516 40357\n17481 35360\n36312 36896\n10449 43707\n6394 41517\n6659 11009\n30779 37448\n5786 15994\n32040 41101\n12564 27857\n26816 35455\n28884 38879\n17450 39323\n4744 41806\n27650 42383\n15234 22246\n30095 35219\n8739 21934\n108 1221\n2143 35229\n30793 36343\n5379 39864\n3950 17337\n9899 17602\n21466 40604\n23019 33594\n4596 46496\n3958 27521\n25992 41621\n16727 23867\n6660 38293\n38130 46599\n10626 23958\n9991 27225\n1224 8648\n38005 42042\n19539 45653\n3126 10220\n5086 11033\n22625 25356\n12896 34112\n1529 6731\n5935 20559\n25092 30209\n37290 43112\n10721 38755\n5310 11918\n39089 47881\n8607 29804\n29118 44807\n10715 23264\n16877 27122\n21246 46837\n39757 40213\n40617 45564\n37797 48372\n20658 42862\n30582 33744\n9739 38655\n6794 46709\n3543 42507\n23787 26515\n10412 44751\n2556 9846\n28442 45565\n6936 35890\n10741 27876\n9288 40303\n21387 39313\n30791 31040\n5692 11516\n2268 4656\n43885 47364\n1048 37736\n1362 42514\n30567 39779\n1983 43807\n6324 22591\n4768 13275\n1718 5250\n7917 26277\n3416 26681\n28038 31813\n8244 44831\n34617 41384\n2294 34530\n9378 36492\n26722 44015\n18941 33843\n9964 25268\n19280 41806\n3573 32314\n10339 39871\n20988 28176\n26512 27235\n804 12977\n12497 46263\n3401 28623\n11199 28264\n25723 38142\n16456 44504\n47136 47893\n1623 10001\n5724 20618\n25453 44933\n29122 37059\n439 39065\n7826 14548\n19354 33207\n5936 44760\n10678 25371\n24738 40374\n2188 7032\n24447 45526\n3475 29354\n17441 19437\n7120 18560\n39033 46569\n8526 40169\n12667 36652\n34562 40954\n23204 27825\n6998 36504\n6174 36905\n31971 44243\n31934 36681\n1997 44147\n1006 23781\n20534 47855\n37788 44519\n14078 14268\n24704 33329\n2516 39367\n826 33838\n19844 35072\n8595 18692\n3549 9814\n9737 13340\n23129 24970\n1250 20510\n4001 22247\n12421 13109\n29561 33992\n21344 33579\n10119 38963\n12699 18774\n14417 32079\n14615 40346\n34811 38458\n31344 46237\n24517 32694\n5343 5821\n11066 26289\n4926 26881\n23470 31013\n16383 39749\n13081 16847\n26091 36278\n9578 20834\n35855 44562\n19248 30107\n20323 46971\n8621 14873\n12667 29914\n48383 48578\n4722 6557\n34466 41604\n21232 39448\n7324 40799\n5182 27091\n2546 14402\n3299 30754\n16081 34884\n15826 41799\n8272 16187\n20386 36823\n9919 20857\n20438 23136\n11293 29743\n23858 47298\n25738 25935\n5689 39247\n16976 36868\n8785 18946\n23499 31803\n12055 23749\n11307 18058\n2375 37129\n5381 17429\n8422 36625\n565 44950\n4733 27358\n30914 42635\n10260 13013\n11173 17241\n4533 45983\n22878 47687\n22002 48169\n20564 47462\n944 24946\n15069 17536\n15971 43376\n8440 16231\n8757 45135\n22486 23299\n14606 14837\n3878 7530\n6990 33860\n14929 29158\n38131 41715\n4422 26003\n9203 20367\n42741 46289\n15151 31341\n39909 42897\n27289 37568\n30764 47134\n10262 31833\n31760 37230\n21496 32185\n41233 46210\n11094 47488\n7412 14090\n3030 18282\n11841 42450\n3492 41756\n3790 20229\n4910 23581\n20825 45034\n6404 36064\n4228 41472\n8411 17700\n22554 31351\n20247 46262\n19708 43225\n7997 21030\n38102 43599\n8615 43898\n8467 35378\n11335 32630\n2021 28353\n27626 45176\n35674 35739\n19704 48229\n7667 45861\n29611 35986\n10930 41085\n17625 44638\n23607 40496\n13988 33782\n1694 28636\n37485 42946\n6107 31850\n13205 15341\n3930 8606\n638 33206\n2329 48434\n22168 38665\n26055 43379\n30767 48260\n27946 41416\n16116 42949\n15374 37920\n5914 39310\n11462 41569\n28383 28822\n596 33409\n2272 11342\n33948 39204\n22548 44808\n18216 44965\n8624 28146\n4607 8142\n4385 26493\n889 44560\n323 361\n18648 46650\n3776 13506\n1264 32511\n6234 17006\n41222 47692\n24922 29689\n9055 36730\n1809 14684\n23277 29361\n12742 28089\n20704 48124\n27147 30375\n19729 38768\n9104 26697\n17028 36548\n17495 21565\n6285 10183\n40931 45246\n3265 9755\n19556 36720\n40011 47411\n2589 39486\n35528 39795\n842 14361\n15282 33156\n5304 31914\n19487 48038\n8259 39560\n2663 30903\n21427 42416\n8897 33787\n28551 40332\n8134 20062\n12496 17684\n14875 24663\n41258 43003\n3098 45812\n43523 47144\n1081 32227\n18884 24009\n7709 19342\n18310 31573\n14489 16072\n2334 45882\n13249 47793\n962 31032\n7002 11203\n11026 48040\n21117 24155\n28915 44523\n18240 44055\n20476 42048\n23095 38795\n14315 35586\n14154 42179\n20814 45229\n9413 22367\n11720 23169\n1150 41338\n27532 39805\n18083 36208\n5954 7339\n8508 32827\n28796 34436\n116 26659\n21779 48567\n2486 17287\n16246 38070\n18800 47139\n34535 36461\n11536 31682\n2390 22688\n5064 36351\n32621 47714\n20962 36233\n16121 28682\n25944 46641\n19178 27948\n35569 46185\n28495 45902\n24352 28385\n26243 46594\n10726 35202\n21987 44422\n32736 48191\n9536 44857\n43248 48200\n871 46333\n26141 32803\n14204 35903\n2802 7864\n5110 45265\n33410 35079\n19388 25910\n671 26546\n2974 14045\n26572 31736\n31483 33048\n20055 40275\n562 1217\n13929 38715\n34070 37748\n11190 16411\n3172 39666\n8945 21730\n24029 25008\n28907 46832\n11089 46149\n17851 43648\n6300 27065\n12805 29227\n46954 48619\n2876 34144\n9820 38797\n2498 45032\n5880 26123\n10668 13859\n480 24205\n20820 38321\n6210 36502\n25551 30734\n13974 18769\n15066 38164\n17735 27695\n21136 41843\n12957 28141\n16663 44509\n26016 37526\n19812 33660\n6830 13869\n4406 13953\n23288 44497\n18665 31561\n10697 45601\n7797 13269\n2743 5447\n30650 46618\n4987 26906\n14075 27314\n13756 18467\n15705 17964\n32009 37562\n1178 4042\n17933 24967\n4292 45153\n25974 29312\n32160 46789\n19716 33876\n4974 10101\n32198 47636\n38510 42460\n1818 46083\n31330 45752\n25574 47892\n760 11170\n24890 30774\n14807 41289\n9092 46855\n7572 12658\n15896 43205\n294 38761\n12005 14367\n20850 29761\n131 5683\n439 25037\n9859 38011\n21932 41920\n10480 25855\n37129 42574\n21577 29172\n16524 27115\n8538 34541\n45444 46855\n6686 20583\n10200 21098\n29373 47662\n33272 48380\n8954 21662\n21063 46676\n24625 31912\n16564 36230\n15931 48600\n21682 25755\n4821 23529\n15276 39099\n1881 36698\n39134 46939\n566 40378\n2661 28735\n221 3325\n36811 47514\n26193 47629\n4251 21625\n6610 17153\n9132 30462\n36989 44615\n2183 2856\n2212 35442\n6044 12473\n8304 10213\n3271 47002\n18826 30598\n23287 32978\n37127 45724\n3249 4164\n29337 35241\n27015 27409\n12040 37938\n36528 39277\n17786 31029\n29251 30817\n5396 20353\n30632 34709\n19535 36521\n27370 41648\n30586 30693\n22942 33566\n26499 42529\n42271 46544\n4905 29857\n6478 28206\n4738 17562\n29781 31711\n35325 36158\n33726 41547\n31699 36241\n10522 28211\n957 47401\n5223 27534\n8672 21958\n22928 42200\n30780 44380\n28612 36183\n22241 37623\n35791 47389\n37048 39873\n8644 33724\n7756 22768\n9346 20627\n19902 38267\n8232 9457\n23497 43892\n15130 38634\n33373 44078\n11508 18251\n14877 44704\n34441 34681\n278 16394\n3516 4078\n26745 44645\n12640 38084\n14863 21654\n17644 40343\n18665 27605\n24276 43913\n24363 32554\n26538 26706\n21947 27399\n5305 28168\n6193 15889\n9561 35021\n19680 38035\n8993 31341\n12224 37937\n18426 37188\n31582 33486\n886 30878\n32138 32774\n13227 24072\n10092 37693\n19326 47555\n16598 20607\n10492 42893\n6725 42562\n11787 18376\n35685 36940\n25837 36528\n19372 47129\n1347 24526\n7937 18229\n7194 43526\n10671 42662\n11533 26033\n6756 32619\n30471 41584\n8178 16350\n6485 15443\n26318 41273\n41060 42158\n12448 21682\n17125 26252\n27889 35003\n29998 31936\n2123 38565\n32728 48638\n34945 39929\n8644 23789\n40496 43571\n19561 23403\n10401 46082\n10190 12923\n29247 41290\n16624 35171\n6840 36210\n13674 47294\n22868 36881\n36365 39263\n35538 46853\n9400 28621\n11824 19233\n24824 34196\n29816 47470\n29682 33704\n9791 30717\n4693 37370\n43736 47491\n35209 40219\n14014 39891\n11437 40851\n4015 34713\n34301 39953\n29173 39187\n4242 44206\n8003 34738\n9672 47818\n5421 32039\n26275 40501\n24226 48212\n23472 47264\n22277 29805\n7857 48333\n6447 7876\n2104 27319\n12208 43194\n7098 15980\n4193 34279\n16136 32334\n35487 38712\n38791 41315\n6503 32202\n13514 34477\n6747 24506\n22852 39934\n2995 47724\n29931 33639\n9498 24268\n3790 17710\n12373 41052\n3318 18265\n41617 43788\n45179 48453\n31243 41914\n28073 35501\n19949 45914\n825 33414\n33568 47125\n15025 38147\n36380 43863\n2073 25388\n4822 26406\n9844 16058\n28763 43173\n41441 45064\n29365 30457\n8622 18087\n5097 5651\n5095 38707\n38975 43286\n19780 39738\n11378 26882\n8030 37957\n27089 45533\n24522 29140\n18406 34137\n16208 38997\n12336 31255\n17957 30456\n2194 43290\n3291 22076\n19108 45831\n3726 11411\n19025 44757\n10367 14531\n36789 44487\n11859 17366\n13518 31903\n23525 32257\n13027 33332\n18829 30377\n13011 37642\n20337 25128\n7692 34172\n32106 47077\n30057 42400\n8356 24722\n15713 40173\n22456 34794\n9174 35964\n4892 40645\n15459 44518\n9567 28767\n4370 46535\n1363 23618\n21161 25486\n9059 34423\n29613 37514\n14947 18715\n47100 48429\n2782 5253\n23103 29612\n14782 48441\n16144 25061\n36046 36444\n34117 38708\n5340 31273\n30466 37898\n4383 9667\n18160 18306\n870 40557\n27255 45471\n33095 43246\n28822 41656\n18104 24607\n17673 36554\n11298 42644\n1406 48488\n19143 35899\n9186 28103\n8650 34111\n39357 42738\n5430 31914\n10540 32527\n7324 25658\n27368 48129\n23808 45048\n17872 42482\n11354 31509\n5177 18640\n28907 47837\n4080 42374\n17401 46448\n26096 26119\n2778 19149\n24137 37292\n11830 45253\n2980 29512\n5512 40981\n8950 20951\n32130 32579\n13651 44171\n35456 39901\n24065 30969\n43006 45707\n28170 37164\n33960 41880\n39182 47838\n23799 46785\n2519 2525\n13692 35639\n19652 46637\n20288 34272\n18341 41854\n31 24475\n14045 37041\n4717 31751\n25731 45624\n20597 32675\n39970 41556\n5662 46616\n33319 33746\n5628 34335\n11698 29024\n18961 41149\n7131 43948\n22415 36435\n7361 16912\n24240 38519\n42924 43106\n38137 40008\n23185 35153\n37643 41749\n9998 24506\n12362 45157\n5754 22023\n16652 36595\n3232 31948\n15654 33304\n25094 34047\n19629 20036\n23711 27190\n19274 34275\n235 17645\n5922 6954\n25937 30177\n23104 31727\n14691 31903\n10667 21000\n18879 40324\n7907 27524\n44133 46371\n33163 42773\n668 34385\n2826 17376\n19191 36760\n17498 45651\n13455 23095\n6506 46639\n18377 32529\n41593 47513\n21111 43365\n38046 48276\n6028 36268\n11451 16332\n38301 43925\n9902 27724\n3160 28111\n24404 44098\n21717 46391\n4739 26148\n7871 9608\n11223 25271\n5174 17589\n18801 28566\n4315 30954\n13448 16416\n40253 40770\n20046 26857\n16684 17900\n605 32093\n17584 34562\n8300 33776\n16941 42783\n12002 16921\n18825 44390\n22773 38341\n2935 6815\n20215 39294\n18015 41386\n34425 48121\n41876 41915\n10869 13551\n23596 37262\n22824 35760\n11460 27214\n1714 22268\n1921 19432\n6155 47978\n9500 40884\n7095 46801\n27814 28376\n5540 13318\n4511 41269\n9635 19010\n8045 29630\n18819 40106\n18336 18459\n1154 2865\n41031 42835\n25511 39283\n2067 26426\n13343 47104\n6960 7696\n30257 42243\n8918 41430\n9913 29310\n6962 48491\n123 40389\n14452 30724\n12678 18459\n19498 30801\n15745 17459\n2954 13044\n6684 6797\n8733 46233\n497 33326\n28153 35550\n9142 29773\n27007 29385\n823 27920\n1660 38813\n29667 41271\n12402 38868\n27201 47071\n45859 47214\n29443 38044\n4478 8689\n14833 31739\n39774 39848\n1212 38634\n30707 44203\n37961 40844\n21508 22589\n34019 35462\n445 19768\n36025 38100\n16447 27465\n35165 38926\n14636 47062\n3700 33662\n27135 36407\n23701 29895\n43417 45685\n26914 32831\n1826 34816\n12385 41206\n17835 38909\n25649 32684\n11972 43977\n8984 37618\n6441 43614\n401 48297\n28180 34583\n7831 21664\n38185 47553\n5842 37049\n13066 22780\n34874 38903\n11348 12207\n20610 28988\n6011 24652\n6432 6996\n7750 30714\n3636 48627\n12777 40976\n37881 45524\n510 607\n7406 17489\n12138 30822\n3554 29012\n6337 24646\n5599 40580\n17441 38221\n18814 28722\n894 13765\n4527 15695\n7592 33758\n27433 34261\n2607 25448\n18026 32181\n9000 22553\n40448 42814\n15019 46711\n33350 46450\n6709 40681\n828 32993\n17333 35000\n35900 45444\n4474 34051\n10698 42077\n7620 38792\n8592 38992\n25559 42336\n8431 30550\n13402 16331\n34755 47174\n29398 43495\n16471 29719\n4186 21985\n26551 27945\n17109 47381\n1376 4443\n982 21196\n8665 22005\n15161 20735\n36941 46471\n6051 38524\n140 41000\n18982 46578\n42071 48629\n22061 47939\n5439 6620\n27053 43550\n3938 31713\n11958 47234\n11017 23297\n11601 22972\n4064 42895\n23634 36461\n19740 34507\n5364 27678\n9651 35151\n14768 29178\n4787 21387\n7632 16566\n16209 21865\n19062 37952\n4788 26420\n33629 44965\n5552 35848\n1891 18855\n23651 43656\n21953 39155\n18902 44747\n10522 16241\n16400 47138\n20942 32230\n5507 44124\n18335 46639\n3476 34880\n13682 19814\n20902 35434\n16233 16623\n11923 48296\n9414 12232\n21315 44296\n25754 30530\n24031 46503\n19361 40218\n11545 35457\n14320 45631\n6571 31915\n13627 42682\n29289 36379\n18884 48319\n14624 35133\n5043 13072\n14035 38012\n27238 45792\n43126 47011\n19339 36345\n27648 41622\n7122 13038\n10180 15466\n25490 30531\n3418 17379\n32840 37340\n42493 45888\n77 38389\n2042 10160\n28190 31031\n12398 39881\n10068 10340\n8652 30467\n25065 46045\n16603 17549\n6004 38720\n4460 39418\n21335 29528\n18598 28425\n1683 44066\n13704 26956\n37368 40536\n39554 48189\n13154 33756\n2812 47897\n26955 32275\n4618 34491\n44505 47137\n34912 45095\n26995 37227\n1420 10780\n33748 43731\n31497 44069\n28218 36972\n6418 8175\n32804 32810\n27959 31475\n43431 48096\n18111 22057\n22631 24556\n8797 23215\n9122 19202\n10375 46691\n7744 30482\n14882 36834\n17681 40826\n27952 34008\n31828 34314\n30675 43304\n15790 42384\n23340 43032\n42324 45256\n17020 26037\n9000 44705\n5386 21125\n1297 23801\n39967 40419\n19970 47654\n28510 44725\n22684 28009\n41537 46193\n8482 22139\n6069 42651\n13477 46164\n2871 28671\n8242 42270\n11132 35002\n19214 24408\n4610 11138\n17034 17949\n14889 47286\n13695 40163\n25557 27763\n23640 30017\n23278 26725\n34571 37343\n9854 46213\n31939 36958\n15627 22786\n20707 29709\n22400 43482\n3362 35887\n27908 35687\n7198 12620\n20420 44763\n27682 39531\n15367 37128\n21198 24367\n19158 24885\n5552 40257\n3681 42224\n27164 32231\n13103 26637\n4795 36255\n21905 41408\n24427 41549\n39354 43285\n31996 36303\n14906 26044\n29661 34110\n7643 42438\n265 48208\n16577 21257\n11371 13417\n9064 13355\n2248 2968\n5995 44050\n1761 46986\n41001 47177\n8748 28779\n14320 35620\n24492 47914\n10567 24791\n29000 41572\n4917 13877\n24642 26724\n10159 11302\n3442 37312\n4396 37932\n31217 47904\n17790 27072\n23758 31204\n29185 43770\n6765 27995\n38154 39087\n4829 12885\n14365 18188\n22246 48410\n23611 34701\n13896 14678\n40265 47251\n18217 31085\n17728 28400\n16122 38500\n11605 12122\n7984 24331\n6251 19916\n22039 33676\n8533 20963\n34402 44109\n35212 42902\n1760 29558\n24192 31882\n4897 5632\n16438 41048\n15047 20495\n18039 39418\n29454 39099\n11118 43565\n25010 27572\n1325 38409\n4579 31548\n17015 18308\n23188 46849\n26666 32503\n13025 24230\n3161 6573\n8552 37854\n2556 29609\n1151 40101\n8386 27478\n39184 42023\n17325 31553\n21566 25616\n18639 19568\n4731 19616\n21068 29386\n6033 41095\n40676 46652\n15018 30740\n14876 15773\n16701 47863\n4376 18259\n27963 43366\n32950 44452\n35732 37548\n236 7960\n27799 35346\n14267 29555\n5068 44726\n10923 14784\n20979 21338\n47977 48550\n9189 38040\n7764 28891\n1390 22200\n12742 36364\n2567 41097\n2962 3809\n18747 47592\n26123 44458\n8677 34686\n13563 21196\n2370 12294\n9801 28410\n41510 44220\n14491 20336\n17179 35074\n9975 46105\n5851 30258\n38483 41783\n12755 35152\n8914 30447\n35834 37406\n3335 18303\n1776 2154\n22389 31826\n4620 39244\n24409 45337\n11714 45062\n23519 42514\n12704 26957\n5095 44865\n25123 33046\n9489 35910\n1952 35305\n10866 11865\n9730 43072\n5803 36575\n25834 31522\n21469 39791\n26875 41536\n15490 22678\n20979 40571\n35500 45154\n13793 22200\n29433 40875\n26482 47516\n22677 39726\n5750 12826\n5837 39966\n9421 32350\n12518 43800\n8020 43174\n13082 23018\n10714 44716\n8002 19643\n2915 35246\n6866 18776\n32310 33490\n20816 21200\n70 46063\n5407 9070\n689 2632\n18416 29231\n9956 13237\n23436 38643\n34579 40284\n11390 32249\n768 10949\n28224 47909\n1081 22175\n4515 23453\n1617 24917\n2527 46053\n7429 24286\n6258 12344\n23551 42507\n14087 31879\n28555 38509\n17578 48125\n11600 40816\n17198 27861\n18593 18679\n18710 44816\n9992 32646\n15421 20282\n28154 38214\n11078 13749\n17009 47561\n20497 42703\n23429 38185\n25621 40289\n3783 15708\n13628 29233\n3839 4359\n6099 45475\n26572 29425\n14494 21451\n11584 45159\n6937 7047\n12236 33787\n30662 32631\n13380 38815\n5172 47809\n2812 26280\n21662 40534\n6615 13654\n40535 42115\n28929 44132\n11022 20460\n5728 32453\n404 44938\n32002 42677\n1053 47609\n4643 33162\n5891 21502\n12614 33145\n6947 44716\n25200 37436\n36313 37286\n7725 28464\n21975 32177\n20432 42459\n16499 21386\n10757 32909\n22811 32830\n17853 18734\n16856 33650\n41559 45431\n2087 41165\n21409 23511\n4157 35996\n31910 48432\n3479 4662\n12896 39449\n7471 38190\n24635 42136\n10517 12128\n20193 36771\n35456 43702\n14386 30722\n15286 27301\n23989 35988\n6206 20703\n20548 34419\n13658 38720\n3183 7084\n37936 47697\n26418 28630\n7018 34784\n23495 30585\n42931 44429\n15879 19771\n37034 42723\n25676 38869\n13939 47422\n14301 45233\n9283 19529\n23794 41803\n16256 23619\n2676 23647\n5564 26289\n25 27826\n30605 39134\n16787 23496\n19383 34698\n24290 37629\n1017 31125\n17226 30067\n23475 35716\n1630 18677\n13629 17125\n1405 40928\n18379 44044\n15837 21388\n10323 25981\n35747 38835\n29754 47322\n30162 42939\n3961 47851\n29931 46604\n15729 40539\n19279 26276\n42181 46959\n13389 47978\n32150 34423\n5252 9690\n28406 46262\n10954 28279\n28612 42877\n13766 14709\n12661 33219\n24678 48499\n27276 33401\n976 6529\n4645 44768\n37657 45699\n26418 30575\n16690 28145\n12078 47609\n27883 43248\n7415 20119\n39471 47874\n6711 35354\n16133 48313\n7477 18135\n30892 32809\n35633 40357\n20814 24996\n32163 41069\n13973 30179\n2771 48627\n6697 32834\n7099 17194\n13717 36633\n16903 42106\n11817 42418\n19048 31235\n1535 42139\n5202 35713\n11704 21253\n2746 42902\n16627 37560\n39118 39659\n19088 19781\n9207 29255\n21098 30164\n4231 26544\n20778 47963\n43922 44673\n37343 44945\n39773 42133\n47140 47761\n28601 35567\n20107 25676\n12125 21983\n7661 21805\n13988 41145\n2078 13957\n2796 39347\n3670 23118\n12398 19368\n5348 19502\n10298 34147\n24716 46163\n16198 34174\n25229 38303\n7714 8547\n27850 40848\n20138 34594\n5628 13683\n8206 48444\n15788 24443\n25037 39848\n8491 20264\n18663 33092\n14248 26989\n2514 20752\n19429 20011\n3533 20848\n14194 48300\n9070 36480\n44068 46137\n7945 36347\n6547 12615\n6091 44901\n29273 45385\n25304 40577\n31653 34869\n3304 30615\n15127 44445\n13729 35292\n21655 47394\n17067 31328\n3037 11634\n1356 32112\n32442 39140\n27272 44407\n8667 15995\n15555 36110\n26862 37825\n35667 47775\n648 22464\n24064 40682\n4606 22289\n28959 48545\n15895 21311\n28199 34485\n5796 41599\n17615 19119\n25551 47439\n18377 45096\n6961 17851\n43197 47470\n35306 38872\n35457 44243\n20251 23248\n7484 38441\n4412 40261\n29816 41461\n8116 28649\n20896 35275\n17907 29436\n24204 40063\n16297 32969\n29179 46388\n21120 39226\n14737 24956\n28445 42492\n15580 20592\n11777 45231\n6037 23880\n21365 47702\n15269 38332\n1694 37219\n913 22952\n12271 40544\n6625 11907\n16525 34593\n12108 25914\n1322 12235\n11816 19662\n4091 20228\n32093 48509\n7494 38064\n1394 40683\n7398 13894\n15125 29851\n25649 27443\n13002 32604\n1084 27118\n6292 37834\n2234 37191\n37646 38527\n4662 41806\n15586 40767\n20952 46908\n269 24901\n20827 28832\n16342 41252\n7418 13361\n7036 22044\n13054 30151\n7921 18390\n8369 23188\n9153 25808\n1282 20636\n28104 31213\n7958 30740\n624 16847\n22657 42999\n853 24858\n20060 26669\n1763 14906\n15621 38615\n37269 41490\n10494 38741\n33258 36995\n10382 42630\n28349 44954\n33810 40386\n31929 39539\n3016 36949\n32166 45873\n14400 46383\n27049 42887\n1469 2173\n7653 33101\n7528 21801\n14200 23780\n22749 40426\n35312 36459\n19901 38690\n31482 41348\n14476 15664\n10932 35073\n2199 7967\n4106 45756\n24406 25679\n16320 20213\n10157 40996\n8636 32949\n31238 37471\n39016 47323\n4865 46646\n19572 41872\n7661 12496\n1152 12328\n11113 25451\n23027 39353\n22146 34227\n11673 38750\n29932 31710\n24381 44517\n16810 29260\n12978 13871\n19217 30342\n22482 36929\n12219 32617\n9562 17759\n35947 47308\n1964 47770\n9093 10043\n15204 24874\n22635 38708\n15310 46726\n22763 39918\n11130 39581\n21654 28516\n13082 17382\n7554 42004\n6542 30013\n15030 16364\n15935 18764\n9438 18963\n14146 16837\n19808 44498\n6857 36021\n25629 37023\n2527 28131\n19446 21616\n15227 46941\n18667 40803\n10363 25675\n17751 34762\n11918 26180\n22705 31783\n16237 42141\n3460 27127\n915 26062\n2854 45373\n7898 30996\n28017 31742\n28292 39191\n12620 13707\n37046 42661\n3779 16715\n12529 23132\n21550 27840\n15816 25911\n7919 38316\n3366 10744\n3521 10513\n5869 39736\n7528 26504\n2231 44663\n13588 20386\n28914 31682\n13626 37236\n20685 45460\n16994 38699\n6784 26836\n20350 47332\n45139 46445\n9364 37399\n29245 48318\n1268 25605\n13859 24192\n3587 43153\n24266 36808\n40152 48677\n11270 26211\n23500 38915\n6026 36969\n29984 33665\n19536 19921\n13537 24498\n35661 38230\n16457 43010\n35978 44957\n36352 36971\n33571 42739\n15130 35754\n39712 43538\n3386 36571\n17468 46495\n19687 23661\n28934 32243\n9308 24712\n2413 22985\n5437 48044\n28737 47275\n36237 46384\n4510 4996\n25139 44809\n5992 44238\n176 39354\n17117 43497\n5929 48240\n1507 19569\n40801 47316\n46027 48386\n3945 10996\n3144 28447\n13445 46156\n1622 32788\n6537 18799\n17348 22879\n20983 35886\n8028 31003\n836 9694\n5159 21037\n41265 47312\n1164 6597\n39917 47505\n5903 42302\n1585 47568\n8450 38494\n11863 24306\n14147 42003\n10760 41716\n28737 39317\n76 27833\n20173 43334\n31633 39261\n17306 31691\n26635 34205\n5992 34227\n17247 33206\n23816 31678\n38770 43083\n18706 31995\n29773 37559\n23851 37434\n4261 26628\n8106 38671\n9511 32932\n32121 40879\n30978 46537\n10756 48466\n2654 31501\n27433 47992\n736 16581\n26984 46130\n13010 23891\n2621 31279\n9018 48030\n2076 11511\n1822 34528\n3981 10828\n22687 41527\n17273 35866\n10398 29313\n13573 40068\n12435 30489\n1179 46038\n40615 44954\n11129 39955\n27520 33031\n15642 29167\n2558 41131\n17522 36599\n7978 38243\n19715 20837\n32101 37412\n27111 48370\n26363 34587\n32530 36067\n6695 23256\n75 31861\n41882 47837\n26619 30598\n6085 16745\n479 39781\n10408 42874\n45236 47471\n6567 11516\n38479 45804\n9596 15020\n14340 38453\n36472 36706\n16233 30942\n41346 42845\n11559 23542\n25217 28975\n10412 33046\n32620 42129\n32684 37213\n41227 44054\n24354 36332\n18313 38659\n27258 45948\n10475 46862\n14832 40356\n5449 23330\n25703 36264\n32417 46250\n14412 34659\n22000 23761\n24184 40287\n23313 45469\n24600 45779\n15257 29766\n30808 48571\n27602 36959\n19299 21697\n33563 39649\n25146 26082\n15219 46728\n24388 43213\n1195 1895\n2283 13440\n11234 17725\n12205 46689\n5945 15347\n17631 41461\n16406 34853\n13038 18937\n9301 27838\n29544 47660\n10530 11489\n35178 46501\n14347 45449\n1323 38315\n8852 43592\n41339 45047\n16486 46011\n1169 4496\n29963 38127\n32336 43678\n9472 11724\n18129 30240\n8469 23042\n5739 47752\n13753 34560\n30461 47026\n16739 24258\n25088 28492\n14158 24074\n18941 44365\n12487 20368\n1117 45233\n5956 6723\n12210 36024\n16750 26445\n5280 22156\n1882 12053\n23426 29011\n29340 42636\n7524 38355\n10323 26179\n29309 48305\n25179 30439\n10277 48068\n5487 20143\n23953 29959\n11320 18360\n29231 33076\n1848 27870\n40166 40230\n22966 23424\n22268 38347\n7855 12422\n8778 46012\n3713 30951\n14639 46943\n7117 14987\n69 24751\n621 41918\n21165 30070\n10582 39310\n23699 31879\n28870 40352\n5302 39944\n258 4683\n412 7442\n4797 46777\n8233 47978\n3598 37565\n31075 39662\n18200 34319\n9680 36718\n28997 35791\n511 40024\n6029 7070\n1119 1200\n19665 30546\n3814 32361\n34898 48378\n6107 27623\n29283 48423\n6093 44244\n32723 38941\n19768 31618\n26835 45824\n17233 21077\n26838 38058\n10952 27043\n5362 27926\n22549 34385\n849 20169\n22585 44307\n7883 35467\n6533 47541\n4844 43023\n5730 37651\n3995 28086\n2259 14740\n30778 46585\n26196 43941\n94 12985\n3223 12912\n15411 32270\n11271 44728\n45933 46061\n32060 32453\n13372 40526\n590 6947\n22636 27590\n11007 29480\n7220 40129\n18421 23543\n26262 43818\n6040 45713\n21510 28680\n7359 17402\n7579 14088\n8330 17765\n17768 27725\n2883 18540\n39522 44425\n11239 43271\n14402 36854\n20595 45749\n29295 38650\n7854 24656\n40666 41415\n5597 12272\n45535 47848\n12426 24901\n6758 22637\n11895 22956\n25123 30263\n6624 33696\n25843 37008\n25715 26474\n13985 46019\n22451 40768\n22590 25566\n14687 44055\n29510 40891\n16246 24509\n3333 18872\n7037 39795\n14055 47049\n4726 20604\n28537 47944\n18606 24620\n36225 47929\n18818 45686\n19745 33410\n7758 35698\n40672 48229\n22973 29911\n26974 37555\n43524 48095\n3770 35404\n14492 26331\n19799 24826\n12787 16576\n14167 20638\n26103 35535\n19661 33519\n28678 47090\n28407 36266\n19052 40331\n1013 38749\n31080 35778\n3426 38000\n26252 27746\n15985 28814\n8200 18985\n24895 29137\n11403 13697\n2824 21449\n15442 32434\n1044 35078\n34265 36557\n21515 29162\n15137 46034\n1729 38697\n9577 13784\n19819 45432\n2945 41964\n14269 43922\n27168 27458\n19338 30944\n9058 23102\n31461 40823\n8825 10586\n43829 44773\n16804 30298\n26971 46431\n10885 14130\n9320 17120\n3937 24209\n4670 39093\n14073 43276\n15692 25992\n1398 46767\n8586 29528\n3986 38908\n7561 38960\n21249 45463\n4467 19409\n36149 45552\n47967 48560\n26248 26853\n19279 33294\n29994 31577\n10711 48637\n4885 22185\n35921 48154\n24348 26836\n6734 37736\n33554 36491\n17730 22244\n24495 44741\n20283 41703\n27559 33797\n1368 8654\n28432 39947\n13275 46791\n19579 20002\n2351 12138\n29854 38710\n38655 48588\n9062 26379\n4307 22336\n15526 29801\n2969 22992\n6861 46428\n17760 34365\n28152 38318\n13995 45856\n33299 36410\n17071 24785\n36980 41023\n18695 24044\n3115 17943\n36568 38828\n9486 41287\n18540 42774\n28803 44563\n40284 46468\n6495 48094\n22274 26055\n27231 35530\n8203 30504\n15740 18305\n5322 47840\n6891 10835\n3449 7738\n5180 17027\n5916 16148\n6562 12599\n31484 32127\n19094 46469\n46659 47582\n8923 29538\n11642 12440\n9870 29636\n26330 42884\n23043 43612\n20498 27034\n25758 47913\n10621 11459\n9851 28633\n5394 16173\n1286 29276\n10941 46957\n18655 32109\n6912 17925\n18090 19099\n10556 27543\n3596 25293\n2180 15402\n19324 40794\n12669 45048\n26908 28341\n37753 38197\n7246 29157\n13619 43356\n1190 23527\n4063 31569\n36836 42813\n7818 42531\n28838 43181\n20487 36605\n27995 42839\n25677 29677\n475 47915\n11473 22513\n22622 29223\n15271 43097\n17439 41453\n26831 45503\n20088 40575\n11776 16231\n1752 31442\n2093 13332\n32723 44232\n5843 15419\n34736 47005\n12803 14700\n22050 46844\n13473 23345\n3119 6678\n18497 35964\n2346 35450\n4854 47760\n13058 26815\n37554 38789\n12260 44643\n19542 41734\n11095 19601\n8352 44429\n6020 37626\n5942 8701\n22084 31451\n42206 43867\n17503 29512\n28519 47211\n477 45256\n4264 9713\n22150 25493\n18671 18868\n13543 35469\n22060 23772\n11069 36012\n17751 21423\n10092 15278\n17638 31474\n5378 47133\n20596 23724\n20253 20431\n15227 21593\n22295 25577\n231 3433\n34207 47320\n11385 47842\n16583 42681\n16741 17149\n29643 33223\n24086 37871\n15924 47444\n12433 33577\n7979 44396\n9151 31482\n5836 7254\n9181 24879\n34489 42729\n40398 48384\n4165 26725\n30523 43884\n8471 42475\n6513 26721\n1362 37030\n42325 43726\n10781 28977\n26230 36098\n26686 29073\n27549 41504\n39524 41831\n4549 20613\n2797 46723\n30901 48239\n18098 29902\n16265 45559\n11402 22469\n6695 43494\n3364 40842\n2770 10445\n1727 14921\n2278 33011\n10984 35492\n4845 11179\n40960 48623\n24422 45629\n15040 46482\n21315 48476\n16787 38762\n26155 41655\n5881 17056\n4437 5833\n22214 32272\n11701 16591\n12160 21930\n5158 17750\n16189 42518\n9198 42677\n9593 33145\n21218 29335\n33644 36824\n4015 43587\n19889 45371\n4139 40445\n16666 42147\n7185 23911\n882 46611\n12045 31495\n15214 28418\n26001 32342\n9282 18632\n7207 16257\n4180 14301\n18897 46108\n31691 38766\n2942 22022\n33822 43446\n6698 21722\n1901 44997\n38994 47977\n6817 43192\n1302 8262\n30546 33975\n28051 34526\n8504 30950\n8322 44782\n1360 10797\n22912 32930\n10643 43092\n8039 24105\n14049 33718\n629 24487\n8723 15512\n19887 38926\n3733 46380\n46315 46562\n718 23025\n12250 38405\n19806 22502\n17095 47536\n18679 39553\n5198 28926\n38305 39387\n24214 39645\n8598 14137\n16018 31517\n21199 38188\n140 18699\n22495 32117\n11982 41328\n22524 39978\n31351 40747\n8067 20124\n10207 47011\n8873 33517\n5607 43270\n24866 35894\n10085 48140\n10938 23341\n7670 22400\n8877 42999\n25524 48564\n8072 20726\n13159 43263\n317 6181\n14250 16987\n40435 48530\n14866 34380\n44927 47627\n3456 44056\n8193 29269\n39731 43288\n3712 44457\n16808 41482\n40258 43447\n22878 26283\n8793 34224\n19055 41905\n24221 43719\n25681 42809\n3401 48336\n11707 42689\n6539 11199\n25943 38041\n10218 45975\n33225 33733\n5886 39788\n8298 33534\n30176 34055\n43878 46705\n922 17391\n26888 42173\n9923 25820\n11572 30322\n3393 4329\n8915 38482\n7742 34311\n39271 46403\n8321 40670\n17535 44791\n28736 42810\n15693 18637\n5825 39790\n9384 37681\n8576 27102\n32236 43429\n24982 46265\n1079 45849\n17637 45036\n24881 33989\n2498 40197\n6031 21858\n13100 30416\n26059 31222\n3404 39581\n25064 46654\n5960 21096\n4863 38579\n17109 25671\n16934 39614\n5631 14572\n6637 21221\n11842 12153\n34965 36657\n11083 45922\n23123 33807\n23830 37416\n25111 45781\n8883 28836\n11854 25469\n26494 47490\n39704 46630\n19955 26834\n9624 35322\n35218 45342\n27874 38948\n11609 30429\n13140 20287\n3994 6210\n2798 33359\n17825 21267\n12596 35697\n14869 45109\n11780 22320\n3176 31252\n8704 9808\n734 46424\n29439 31325\n15773 27585\n21308 29830\n39843 45060\n6284 36000\n141 30128\n5713 17008\n21631 46840\n27941 28237\n20248 25182\n28101 34214\n707 35215\n17664 33813\n13834 33475\n8647 27669\n15289 28017\n21707 29352\n17120 28697\n28540 45912\n3950 37375\n24749 41195\n17489 45783\n28613 35784\n33923 47178\n27134 46284\n1435 38695\n27111 45640\n21453 28184\n1455 8551\n14917 39215\n36725 48187\n42787 44670\n31641 48186\n17127 17329\n11437 15533\n24137 48172\n20460 48404\n2565 2974\n20501 30149\n17835 29133\n10189 37599\n2831 4873\n10726 44980\n3348 40911\n44222 46488\n21831 35096\n27810 37038\n628 22323\n10361 15767\n8952 45504\n18958 25779\n7866 17882\n9451 33696\n13618 23838\n4707 16918\n28715 36795\n26518 40069\n20763 21165\n12510 37738\n13279 17927\n3315 17873\n21103 30907\n20135 26033\n31294 35809\n27920 36794\n7421 42403\n30586 45375\n42523 43712\n11531 16276\n42559 48176\n31806 36741\n1447 45470\n18071 46302\n29126 36097\n35700 37649\n11947 42356\n12902 37825\n27312 37283\n19433 37630\n5284 46053\n1021 24509\n10761 43268\n7142 16624\n44029 48399\n14472 14685\n6415 17847\n23569 37570\n5490 6156\n2433 37615\n20781 37297\n7971 15884\n14672 16249\n41290 45875\n17892 36366\n13519 15391\n11733 31635\n32392 33812\n11 46114\n13664 36471\n17086 43836\n15387 36710\n16050 46340\n159 607\n20921 22111\n13233 31058\n18921 40470\n24389 36102\n10952 27467\n22827 43167\n16948 20930\n30912 33329\n12302 34536\n8243 46079\n6966 18140\n26736 46858\n17185 47890\n21746 43487\n11735 39522\n37262 42650\n14138 14775\n456 40438\n8652 29209\n21518 39324\n27924 47780\n5900 33220\n8603 41569\n6188 13177\n7919 43704\n30421 40269\n20884 32781\n10632 42093\n8681 11679\n11039 11923\n15282 24672\n20392 27789\n17777 36904\n43100 43662\n26542 28939\n7583 14117\n6730 21623\n18188 31518\n2823 41458\n15827 24391\n2897 17118\n23232 37346\n26951 27160\n5018 31198\n19853 29689\n26562 35099\n8981 40453\n1365 36180\n2960 26297\n4405 10711\n39654 46080\n14846 19369\n18625 42543\n16328 37890\n12173 37544\n15293 28843\n6840 13936\n6383 48530\n42135 46107\n16322 33605\n3370 11585\n4010 34304\n8208 14958\n4422 11877\n39300 47212\n33601 45646\n20792 33125\n5871 46982\n17862 31565\n2094 2458\n41664 46086\n1164 14359\n7517 37973\n47250 47588\n10402 11072\n27554 41761\n7396 29990\n6632 7872\n8988 43896\n10386 45464\n13344 29011\n27158 48555\n31749 44015\n1708 19171\n8775 24296\n17610 35690\n8790 44351\n11655 47616\n27102 34493\n24439 38353\n9696 43971\n34768 45547\n6414 6456\n18820 26198\n27451 27795\n1070 27149\n33946 40366\n12107 30883\n22403 37642\n4587 37241\n13280 20050\n13693 26918\n11019 18072\n13131 24956\n5494 21271\n42306 42671\n5472 18241\n10435 22212\n17977 41164\n5597 19667\n36067 40178\n35908 46280\n19828 25419\n3657 39890\n10864 26420\n540 26355\n766 36950\n514 2280\n1400 44172\n40718 43484\n18986 42422\n10131 32411\n10484 23437\n38471 48287\n3616 11896\n1831 40213\n23151 37419\n41973 44936\n6025 42356\n11344 43318\n40217 42630\n26832 41451\n17566 29951\n20094 34488\n45791 48392\n16882 32108\n2544 19823\n6104 39409\n4485 24982\n6753 14206\n42653 46639\n21606 26900\n35269 36331\n6053 25875\n1373 34013\n14308 27373\n24 39082\n2421 8213\n37688 46336\n42896 45388\n37721 42753\n5332 29485\n32832 42117\n37013 45858\n1756 28499\n9721 19181\n16591 30750\n7588 14566\n7599 47305\n20024 38365\n24798 26548\n20170 41953\n30874 34336\n32272 34246\n3988 19625\n9155 11950\n34779 42019\n2397 21955\n3229 35352\n26334 44825\n6963 46591\n13846 31439\n21649 45310\n10227 28981\n7611 40197\n12386 30998\n8093 45009\n27325 41762\n24175 32927\n40996 41681\n13039 41506\n3565 37451\n25459 39848\n3163 22545\n32460 39326\n30821 48380\n2146 17171\n4350 29151\n8589 12110\n3323 36382\n23686 36000\n9287 10001\n7887 25868\n2522 21548\n32782 39607\n30099 36313\n2762 47783\n19863 42930\n4686 35291\n33958 37098\n33775 34646\n1686 4554\n41025 47895\n13455 41173\n32915 39240\n11833 27840\n4815 33307\n34535 45431\n21369 36799\n20647 47261\n2242 22427\n29972 34812\n9232 11181\n17 23503\n45354 47152\n10386 35145\n22200 29466\n4882 35755\n20488 21721\n31886 40444\n2085 46798\n1831 10947\n10996 42245\n29439 46996\n27436 35410\n4017 11817\n4081 45232\n35979 39130\n3500 11611\n6045 8013\n32039 41192\n2410 10634\n11608 40935\n21536 38108\n1225 16593\n29260 45518\n5707 16658\n16683 46784\n7879 40362\n20300 45043\n22228 22493\n7848 24312\n12284 23562\n12644 37239\n19042 35247\n11880 25474\n2238 46010\n11384 45033\n1617 32565\n1081 44938\n32448 40785\n2729 9555\n25270 41534\n13175 34461\n627 45773\n16238 44548\n22314 41574\n6090 13155\n4847 27474\n10973 18357\n24233 33110\n25473 43445\n3288 8748\n16177 40507\n36858 48417\n33674 36082\n13307 39395\n10252 11300\n9612 21443\n36814 42254\n2010 39923\n19614 34504\n18265 27696\n26896 44876\n10927 26065\n5066 5574\n13443 19328\n7266 12757\n7492 29696\n11805 31189\n18077 27272\n21888 38675\n38674 39548\n13408 34362\n9605 17141\n42839 45956\n2126 29215\n16277 23473\n559 5993\n1098 24564\n16198 29860\n20090 35728\n28794 47385\n9990 33981\n24277 42791\n18047 25380\n28496 41256\n5181 17725\n15610 22139\n22050 29784\n1080 18296\n23535 46029\n98 46148\n26800 45521\n7498 47966\n14894 27515\n4434 30325\n11118 12117\n4492 8294\n22798 40790\n4849 43280\n33231 38558\n43380 47055\n28988 42033\n5534 10084\n23604 43554\n1500 15090\n7925 10675\n23697 24748\n10593 27377\n25655 31564\n13955 32249\n16697 18992\n23792 24214\n19002 26947\n3249 13542\n3276 35517\n12070 15568\n15366 46431\n22113 28128\n18761 19230\n15282 25953\n9974 32884\n42921 46946\n637 38305\n26037 31711\n11544 28970\n10904 26433\n28834 34388\n20690 47840\n17701 40995\n12079 42739\n22659 33013\n25524 38174\n13928 14479\n33561 46584\n8363 47953\n35810 36526\n15801 16347\n16534 40104\n32059 46531\n11486 18457\n23188 36273\n10840 21564\n11528 36054\n25954 36213\n10875 38803\n3120 29488\n11647 23163\n3036 14130\n12011 14129\n5453 22735\n35952 45036\n5809 38471\n448 42321\n9021 19799\n27708 40597\n13587 14995\n9665 32111\n410 34769\n23344 27159\n1594 48103\n498 20186\n37606 48189\n5146 48351\n42533 45303\n15517 45118\n424 41682\n26426 44206\n9056 24690\n3399 45532\n19503 24222\n13802 45362\n2990 37704\n7439 30499\n15296 17052\n16270 26022\n4650 42869\n501 4931\n7174 38654\n20688 31478\n38452 47479\n5653 18351\n7931 17908\n18490 35498\n3073 48652\n23142 26548\n17263 35111\n9486 25010\n8849 24024\n4844 28167\n12622 43656\n17495 38577\n20982 32981\n488 25700\n2696 29197\n23278 46349\n9320 37250\n775 36936\n14050 33866\n16745 37218\n770 33428\n16877 20795\n23601 42681\n7525 19775\n34484 48680\n11911 14062\n11111 25518\n21480 30566\n5596 41578\n1531 21450\n7669 39685\n3108 32616\n5095 7810\n18378 37731\n26002 30691\n3576 7814\n32112 32515\n12162 33449\n6105 9211\n5052 34555\n33358 43027\n15610 43225\n10266 45878\n8094 36818\n635 18532\n18588 28382\n19471 36194\n30408 39209\n15390 23795\n12925 34829\n17196 29927\n38283 44618\n8874 29467\n30138 45131\n44929 46384\n13420 18397\n36150 44054\n29009 48273\n14454 40973\n10548 15310\n21080 24761\n7259 13383\n31963 38854\n21703 46770\n11507 41846\n22620 36852\n8173 16412\n12329 25371\n1239 21497\n10170 44655\n16398 17894\n25022 33089\n2328 13416\n5800 25203\n5060 47289\n26309 47258\n14255 36914\n38969 47124\n7428 37042\n28450 35995\n28044 38294\n17649 40955\n4547 36075\n6414 32630\n16066 20441\n202 36732\n21293 48515\n29458 37953\n21928 33658\n43599 47291\n10564 19520\n30869 43885\n1907 7381\n63 27124\n26639 30408\n20328 24245\n17325 19130\n8582 13842\n14025 32743\n734 28916\n8939 22220\n5380 36138\n13228 42040\n15164 38748\n6720 15965\n24370 44828\n4610 20597\n6854 17245\n3463 28377\n10429 30175\n45586 45647\n4091 6994\n17428 38616\n1770 34482\n17384 32208\n23129 33181\n1590 1910\n43979 48268\n30154 36824\n9329 48610\n13305 21869\n11802 38116\n27794 33763\n22382 44214\n1454 9947\n256 22305\n766 22560\n7464 11451\n36341 45349\n13285 38453\n9286 29816\n32629 48645\n7537 45484\n21248 32272\n40676 44171\n38742 41569\n28024 45652\n6822 43317\n30271 33980\n5761 47818\n19476 31463\n4384 33261\n1731 21349\n19951 21270\n4757 25744\n40144 44247\n8983 18546\n34 46109\n16103 29409\n22623 38308\n22681 33820\n12953 21741\n16081 40457\n33831 34501\n10635 18915\n34325 42571\n12781 22991\n5942 38668\n40695 46326\n279 2796\n31370 34226\n3460 19016\n2332 19664\n5761 29610\n575 44439\n6853 33364\n32677 46186\n9143 25152\n9466 44201\n801 1645\n10468 21017\n2588 6946\n6094 33553\n18960 42993\n15781 32940\n2746 24897\n12635 28122\n22649 47881\n22827 26628\n35830 38154\n31819 33632\n13066 27461\n2266 19842\n25423 35962\n1939 36087\n4728 9357\n11018 12260\n2368 35475\n18383 34983\n2262 37322\n20625 24651\n4409 35119\n7536 27017\n678 4189\n15134 23561\n16553 36883\n17064 44493\n160 1207\n20496 27329\n39930 48301\n24507 30046\n4506 40924\n21368 40876\n10923 29535\n6038 45386\n6065 22512\n592 32096\n2185 13131\n23740 48224\n43719 45551\n8409 22767\n21114 46060\n9808 18745\n12145 13586\n34005 37531\n34497 47177\n31273 33015\n12062 12784\n22239 24949\n34329 35995\n17789 39143\n28634 37006\n2963 41328\n16362 36667\n9618 39393\n33938 46368\n14693 39160\n5398 40632\n14966 17867\n24702 30921\n13752 30071\n10325 44657\n2561 30568\n15185 33758\n28038 28253\n5750 30270\n18075 46279\n6532 38750\n34599 44786\n7275 37001\n793 32784\n11390 34414\n1320 9340\n31245 45799\n588 34047\n4890 18088\n11280 42098\n47067 47453\n1243 35173\n28117 38250\n13288 48508\n26905 46061\n327 26541\n7410 18880\n16342 16894\n5682 42023\n5879 39439\n21831 41681\n28374 47156\n10243 39629\n35065 46185\n11943 33894\n16917 27451\n10836 17307\n7236 23848\n36709 40465\n30058 35729\n18090 19411\n29934 47691\n26574 45988\n26572 39936\n13141 40384\n3632 29191\n5871 25272\n6167 43788\n89 14412\n35399 44573\n176 10364\n7402 47377\n15376 17002\n1936 25756\n15345 44767\n11845 33543\n515 29377\n2561 28809\n8066 36345\n5497 17476\n402 39071\n18280 36499\n9971 32240\n4195 29309\n23654 33970\n2889 5517\n32970 45892\n14915 42930\n7275 14017\n12515 39794\n6194 15030\n25120 45634\n27280 36427\n13131 22683\n2541 44936\n43385 43928\n11037 21585\n17809 25718\n20525 42858\n23932 29132\n23752 32311\n9565 20124\n33694 43608\n35841 36336\n12925 27064\n16291 39108\n23964 46383\n1986 47407\n10368 15383\n28318 36898\n21260 32080\n3697 23971\n5463 39870\n3943 17469\n36116 36155\n19402 30974\n374 3484\n22937 35501\n18243 37645\n1714 19663\n28035 31231\n34509 44533\n12387 36909\n15787 24162\n2672 41945\n20812 39962\n23593 33166\n18558 31400\n28172 30186\n35311 36226\n33174 46263\n14088 29874\n18888 44268\n1396 35616\n12058 28721\n28218 37562\n31564 44369\n151 46338\n5964 6281\n16526 17744\n10111 13598\n8001 48216\n7278 17905\n30169 36658\n14052 40789\n19157 48222\n27820 46238\n20992 39448\n11183 11489\n22606 30213\n2401 47417\n24024 48025\n10094 13107\n12263 42318\n7134 46428\n19402 38541\n1965 20646\n14870 33055\n18991 32470\n25136 29341\n6922 36683\n1951 26392\n13838 41095\n3170 8956\n26920 45241\n3364 39166\n11315 40893\n19770 45870\n18069 18104\n15382 28959\n22034 47667\n11840 24043\n18006 19595\n6835 15062\n17608 40151\n12923 27624\n17942 37664\n25759 39326\n6337 27546\n21172 44012\n10918 45797\n16425 29462\n24197 33521\n5155 12156\n643 19723\n11746 39009\n41809 42121\n7255 13482\n3104 22679\n5366 42940\n29262 41225\n2411 44168\n19000 30141\n11227 34921\n305 31828\n4368 45942\n3106 11906\n29600 37465\n21530 43035\n12438 23762\n6489 26419\n24410 25977\n42174 45378\n11297 12535\n6222 39908\n13295 46387\n8026 46721\n8329 31559\n12069 26037\n29748 34133\n16737 20960\n29455 32533\n11351 33718\n18134 36118\n4340 20396\n11720 38288\n4306 5892\n34197 43233\n14422 26222\n28417 29064\n16785 30699\n4543 31693\n4707 13732\n125 11339\n11332 31264\n13370 30290\n24227 40171\n18168 23040\n3488 11565\n7308 26915\n12868 13199\n18734 22374\n23729 45532\n39836 47772\n23205 47114\n5612 17028\n18914 42797\n13766 23792\n4230 4340\n33913 36429\n12600 34684\n17962 36078\n28333 42036\n7066 20351\n25527 41117\n23805 33968\n8579 14757\n8564 29886\n27678 40807\n20984 40410\n30562 37683\n14387 32806\n34419 45593\n15403 25273\n13280 23538\n24611 33554\n5248 26825\n9087 45603\n36820 45897\n5850 16443\n26345 33226\n8395 21128\n5231 38665\n38798 47600\n6242 6291\n3686 31508\n803 17676\n3948 26951\n5332 40711\n13952 45840\n1353 30986\n7530 20451\n15155 32074\n25715 31072\n16909 47015\n24440 38848\n1358 9950\n6050 30077\n2288 39251\n18854 40731\n7982 12931\n21366 33911\n1034 19219\n36534 40465\n16107 35805\n875 30682\n29584 45277\n1754 26489\n4512 14911\n5447 42870\n32168 42997\n20001 37765\n6628 7823\n12347 26187\n26802 44969\n27548 36310\n29874 43850\n9725 28414\n8780 38014\n27420 36599\n7754 47858\n19909 20475\n9764 28750\n9446 47624\n24795 43400\n17966 44542\n490 22047\n29165 31347\n28395 28928\n15041 42662\n17139 38928\n8397 38403\n2067 25522\n11851 23213\n42827 46565\n37698 40352\n12457 24042\n13241 15427\n15743 47544\n10673 16565\n5272 18684\n3601 25100\n29356 35026\n953 26321\n761 12220\n6941 26046\n1198 25630\n1616 33137\n16481 18450\n11043 33792\n10518 25481\n4628 46350\n20653 43835\n10377 14485\n34564 41835\n680 28813\n23975 26451\n743 6629\n8619 9264\n7732 13070\n17136 44543\n24860 35015\n42908 46892\n5695 6995\n721 2790\n34575 37525\n24614 25552\n2701 46824\n27152 40298\n5882 26788\n34211 38134\n565 37056\n31671 39212\n29616 31471\n11538 29323\n8001 13552\n11505 22805\n12423 36620\n22198 36767\n16899 31544\n29452 38246\n23254 46887\n3758 23362\n6124 14828\n26248 38698\n1564 43060\n21996 30230\n25233 28663\n22547 24460\n7320 9599\n24172 37808\n4233 45787\n22496 43419\n11167 41644\n1596 38415\n12187 25325\n31918 39719\n6105 29230\n16303 41666\n5470 23860\n42585 46551\n10440 31723\n35960 36342\n7211 27199\n8464 23117\n22782 38508\n7490 11509\n230 16035\n9207 43082\n27149 41360\n9559 23164\n28189 47541\n24679 47733\n906 23949\n27458 43566\n4693 12425\n16530 39048\n14577 23720\n6132 31883\n25399 33823\n2069 47239\n27346 38679\n21373 32867\n31379 40159\n38237 48538\n3153 23603\n28034 33907\n1392 2137\n27970 31430\n33364 46594\n24399 42481\n11597 39311\n1243 36118\n41845 46814\n43866 45625\n15129 41438\n1291 20247\n11703 25447\n12850 21365\n29521 30102\n22927 29916\n2946 34985\n38816 45816\n607 36046\n38407 43367\n9224 14714\n31970 41111\n492 3060\n7513 32977\n17378 32834\n5596 19888\n19152 22590\n30366 33844\n1172 10815\n3991 26856\n15261 35623\n3738 30892\n31178 32293\n38430 43869\n35486 40277\n34684 39037\n13150 22965\n24332 24727\n661 5933\n34897 45984\n30822 47198\n26336 26912\n25338 43286\n8202 32973\n29532 41988\n8624 19510\n9082 23564\n25362 29642\n19692 32118\n2966 9511\n21550 45578\n8559 30056\n14333 41345\n28858 34985\n28908 46886\n20690 30439\n24170 31712\n30 42918\n31395 40263\n12451 14245\n10879 36162\n12696 33818\n3586 25582\n18813 35198\n30337 36876\n8054 35115\n30404 47811\n37864 42306\n16933 37484\n9558 14928\n2106 13890\n6174 28540\n7877 27885\n28012 41515\n112 8646\n24814 38672\n2155 28140\n4170 28467\n17573 30748\n15669 16582\n7559 26311\n12690 25805\n4749 20843\n9249 28809\n7092 40441\n27389 29572\n17451 41223\n26464 44904\n30569 36372\n19895 26107\n46168 46266\n37571 38021\n7300 12620\n2983 27143\n22059 39067\n19368 39608\n3760 30043\n297 34623\n6263 31798\n42311 45221\n37139 43209\n17076 45236\n30312 32722\n43152 46620\n32188 38912\n4108 33296\n23708 46228\n30625 34251\n7155 22912\n8650 17702\n26121 27365\n15703 38912\n743 19207\n15022 23363\n672 18496\n33780 48444\n5350 23166\n17354 34855\n31965 46058\n22386 44284\n32558 36816\n34315 35894\n10812 29724\n34994 38945\n3772 41986\n27938 40990\n26501 33046\n757 22738\n28653 45778\n38245 45827\n9638 10260\n4970 5480\n7065 44434\n41596 47085\n30211 34363\n8223 46584\n4375 45319\n1125 31062\n26944 32781\n13754 18135\n28038 31704\n5178 20435\n2163 5643\n3030 24513\n29855 40159\n5308 12747\n10646 14370\n31395 42576\n4475 24816\n5635 35232\n3060 10769\n1889 41241\n6366 11758\n221 31799\n4725 33091\n1150 9968\n19268 38626\n27331 44800\n613 7826\n19789 21322\n15810 46087\n13297 15743\n21335 40170\n13082 35550\n17374 24705\n11180 46204\n11941 32225\n38900 39488\n7350 44495\n15662 37402\n15434 47192\n24760 30400\n10431 25852\n20832 39344\n16648 18381\n19057 36536\n3484 30760\n8733 21189\n14085 48277\n12974 18216\n6182 10573\n19473 33604\n20990 41438\n13475 15232\n32084 42558\n39770 46648\n16436 43668\n41627 47791\n39430 48463\n12692 22572\n515 8078\n4867 31826\n6356 12864\n22147 47934\n14592 20848\n2297 24842\n22365 29176\n8112 43232\n4976 7097\n30117 31145\n7123 47925\n2013 41384\n23683 37434\n3549 32926\n242 24824\n15308 19438\n5090 32445\n46198 46869\n14118 30920\n37754 48219\n16387 23227\n42225 46348\n12958 36511\n21324 22335\n663 1172\n7878 45979\n36390 48251\n12744 42737\n10344 12351\n5906 7077\n795 13386\n16670 39353\n13235 19853\n8099 33890\n14950 15920\n12212 19082\n17824 44812\n21798 44495\n18123 42249\n36946 47961\n4071 29261\n22558 35255\n4961 17896\n4879 45291\n35407 41327\n16853 20795\n14456 28222\n5148 38541\n8686 23550\n22097 42367\n11557 19170\n14960 17893\n44073 46777\n3937 30172\n23120 37063\n18265 39615\n32209 39544\n31723 41863\n2141 2775\n2760 33405\n2618 47841\n23783 40891\n3132 11193\n13456 27999\n16782 40879\n26306 44647\n17678 40610\n20093 43010\n1139 6006\n13728 29039\n1198 31321\n27990 47741\n30490 43686\n44824 46277\n7956 23919\n1398 10621\n4644 26479\n8230 47472\n11632 19940\n2808 36858\n33639 39282\n9660 10570\n20696 41752\n40537 45163\n23347 26728\n31674 45811\n20240 27173\n15594 17635\n40458 42299\n5213 12116\n2837 13223\n10097 28672\n4910 44824\n38837 44834\n9680 20525\n74 24710\n2486 26504\n27820 39560\n15140 32075\n12822 18834\n1142 47655\n18 21759\n15454 18283\n19665 24553\n30677 39932\n5330 28262\n12260 35213\n33822 44163\n26668 43366\n28285 37481\n23354 27877\n25235 41353\n1439 17804\n17562 18082\n9405 31640\n2114 47860\n45657 45871\n34120 42853\n19336 26506\n32216 46313\n972 23833\n7651 20770\n10605 24384\n19840 46864\n3776 14844\n38128 44118\n28220 28898\n28184 46134\n7011 43117\n17388 32980\n21937 25957\n29826 36490\n1766 23006\n17542 37843\n27032 32461\n39188 44728\n15818 40356\n4150 47220\n27743 38831\n10267 12505\n20852 25679\n15172 39401\n5691 25307\n16215 31456\n24086 44546\n3400 19913\n15268 28045\n39795 40519\n19069 28240\n21588 30193\n26163 40904\n16340 44578\n10960 40752\n5126 44562\n10961 24944\n509 44814\n43603 44755\n7988 30599\n39433 40441\n11659 37397\n765 25347\n6956 42911\n5703 47117\n1530 25289\n30574 33523\n14039 41040\n34331 34883\n18014 38550\n22318 41041\n15960 44691\n15534 21505\n10470 41067\n10680 24678\n13273 21248\n11561 36296\n22995 27961\n9698 31162\n9407 44672\n15960 16580\n17391 30164\n12540 36017\n3040 44935\n2235 35691\n43155 43515\n22293 36701\n9262 29761\n11822 30337\n7402 42669\n24068 36632\n7483 46417\n32299 45447\n16481 27285\n2048 15230\n5206 14629\n9810 40714\n35216 47757\n23484 33586\n10328 32801\n24555 41303\n4815 10154\n10275 16723\n15829 42866\n19411 29354\n709 41368\n18251 47658\n30219 45775\n23902 42656\n22523 36178\n2452 43598\n11120 22889\n4075 34381\n25920 41535\n11707 13719\n8375 48102\n3520 45538\n31778 44437\n39801 43086\n9919 20887\n11094 48646\n28771 47064\n3155 36558\n13592 24120\n9848 23361\n27732 30544\n5692 24908\n6112 15819\n7972 46054\n1655 37798\n4483 23050\n10430 29967\n4804 5308\n10261 22394\n313 20216\n7903 16113\n19427 23021\n8874 27531\n29344 43840\n30627 46256\n12243 17174\n39742 42125\n17897 48625\n15982 18124\n10047 37681\n125 23197\n12419 30362\n5637 10163\n32388 45350\n4690 20991\n12178 35497\n45063 45803\n8158 10646\n9505 33648\n8301 22479\n2352 38900\n135 34062\n34766 37029\n45654 47670\n18206 41110\n2267 11629\n41043 42666\n22 36766\n15572 34086\n2297 37133\n6117 35661\n34277 43124\n15866 34202\n16667 41816\n12977 39614\n6019 6366\n16838 48664\n24801 38948\n8767 37354\n30530 41671\n28018 33307\n5613 18503\n2401 10328\n12623 28375\n2569 31467\n2875 28649\n27058 32176\n124 42855\n2793 35797\n10478 45954\n6340 37592\n6961 33079\n27770 44117\n21574 29839\n16613 41141\n13222 25508\n26000 34004\n13776 28950\n4078 12263\n39440 46055\n39934 47324\n26452 39951\n2115 27684\n16544 19667\n16436 26616\n1939 14029\n31538 33166\n24637 35223\n29985 47324\n23380 29216\n39884 45626\n9083 29012\n8497 34794\n27400 28793\n5151 42483\n16862 42785\n29449 35742\n6998 19380\n6918 23723\n13056 37318\n40930 46934\n15537 34954\n29418 48003\n19066 24121\n20774 28677\n3087 7002\n29245 29375\n33307 46177\n29427 32669\n17199 30471\n12207 19168\n6610 12896\n8850 10424\n3958 18172\n24774 33121\n14253 47599\n16214 31172\n14188 31991\n5539 36466\n30125 36062\n1226 29271\n45739 46969\n1520 12722\n10542 11758\n14801 18525\n1477 41552\n3530 31027\n12980 23869\n20746 33621\n14783 21103\n36853 37671\n16842 29168\n10099 35733\n16816 26338\n33147 35800\n17646 33972\n9410 10396\n35415 38659\n24330 42739\n15108 25303\n20889 36269\n25269 46531\n8689 42261\n8687 20737\n17703 47782\n23467 38436\n2625 15344\n36135 39182\n30850 42300\n19343 33009\n23832 27459\n2895 9953\n3120 33336\n20980 22058\n8774 38365\n17943 17949\n20215 44577\n11560 36661\n2191 9696\n16121 25835\n1993 48312\n19937 47179\n25475 38240\n19809 40897\n15601 47272\n1272 35742\n39596 43540\n28376 48658\n35796 40312\n19147 26862\n954 19145\n2833 12461\n12458 15747\n22078 26546\n6518 28538\n17846 41499\n12248 26970\n11929 31278\n25374 33361\n31974 44045\n4684 28181\n31361 41589\n8344 30372\n25048 40143\n496 7696\n18971 29116\n1199 17275\n12186 24244\n1389 27702\n3098 12410\n16104 26025\n41472 44137\n6423 42691\n21185 38598\n4305 33531\n38020 39919\n32278 39447\n4078 42340\n11724 31249\n3045 8882\n23637 48037\n3758 22928\n38367 42235\n15645 36013\n25759 28504\n22058 38773\n7237 25108\n28358 31402\n6135 18902\n399 37677\n37558 44287\n25896 27889\n27564 36755\n4970 10401\n14730 43942\n18576 39913\n2900 46123\n41179 46741\n7063 32044\n5286 46309\n1371 7098\n21687 37316\n6901 46241\n2193 23177\n14534 48568\n27398 32859\n19628 25133\n6225 14802\n17339 25136\n12858 46849\n19681 28741\n85 14460\n8980 41369\n15383 22427\n21190 45152\n41607 45465\n16070 48275\n14065 22966\n4731 10292\n6393 26148\n22964 31088\n9381 16048\n6344 27809\n28101 47345\n18995 26089\n37442 44411\n30570 35197\n29852 39613\n16678 34995\n11529 32919\n38405 42498\n26123 40976\n30211 30671\n14901 18803\n7503 11202\n6808 21098\n17138 39552\n20469 43512\n29094 32611\n20243 28961\n26084 36691\n7734 20564\n24755 26202\n8650 39610\n19657 47850\n25602 41469\n634 34748\n27728 35401\n6700 25851\n24604 35349\n15570 33100\n21266 32212\n3080 45971\n29131 39972\n16263 48664\n33588 45795\n19132 22707\n25655 45610\n4045 18206\n929 36531\n8410 10836\n3029 20963\n1530 42403\n5360 45200\n4585 48678\n527 47486\n33026 43751\n26466 41911\n14617 18797\n9182 26637\n26754 39887\n8303 15612\n8967 33536\n22826 30233\n18562 34154\n10768 11898\n42798 48071\n17581 48531\n32157 38389\n18100 28384\n12257 36173\n9806 27238\n16091 19636\n10484 40524\n9210 41364\n28997 34496\n5327 23532\n25009 36802\n15247 21816\n13885 27421\n1035 31754\n22642 30834\n4326 20494\n22212 46219\n38242 47046\n4588 18361\n25367 37541\n11872 33533\n32158 39622\n15273 40972\n152 29415\n13797 39442\n8501 23299\n20564 35618\n16864 45689\n13868 40293\n1938 8490\n43092 43460\n12296 32107\n35510 40620\n16095 16437\n2198 38267\n45636 46680\n15796 47384\n32380 43960\n33930 38372\n32780 45233\n15506 29233\n5903 8401\n5742 13746\n18443 36165\n38251 48145\n13927 44556\n20526 31219\n1982 32681\n8252 11097\n21146 27510\n12474 32074\n969 40235\n837 42604\n15138 21236\n46262 46378\n20932 35068\n2352 25167\n4306 5105\n13282 36335\n2014 43226\n6617 17095\n4771 37136\n46808 47851\n3684 36342\n8209 10062\n25113 35308\n2339 35514\n22866 39395\n15917 30846\n11628 17874\n33337 41927\n25244 37614\n3871 36245\n8744 40901\n4650 38442\n37048 46459\n7828 28785\n144 2177\n23585 29902\n38217 39657\n5193 22011\n10651 26140\n32585 42054\n12070 33361\n11987 20045\n14334 38225\n1584 13093\n11055 25139\n13950 23208\n3995 33396\n14396 42926\n13207 40602\n38498 47828\n3104 44569\n13487 40984\n3253 22631\n15347 26254\n29152 46235\n18049 23647\n18007 20177\n16666 35392\n9602 28695\n7657 14981\n4206 30133\n17848 18905\n503 15929\n18524 38189\n19982 23402\n25642 44079\n6538 40414\n2832 45263\n2238 23486\n3509 28944\n13256 40801\n7035 30787\n21677 28100\n27066 42537\n22115 24889\n13120 40818\n30802 37655\n36084 39382\n7431 21707\n3230 28374\n10517 32060\n13789 16629\n22114 35475\n23009 40098\n28200 43990\n20256 41908\n3634 36949\n863 39442\n759 4321\n11097 18266\n21690 30442\n29667 33374\n10095 33173\n20759 30093\n13558 37406\n932 44844\n36726 41806\n9931 23027\n10078 25212\n25370 48536\n30658 34143\n7277 27870\n4452 16894\n14665 34790\n38729 47439\n8331 25835\n4921 18656\n35390 36796\n2722 25370\n33175 45505\n35819 47753\n932 1036\n34628 35285\n18540 35798\n8094 35079\n29370 38815\n24432 47768\n5286 9457\n9738 48390\n17611 23023\n3632 11348\n3043 37443\n20196 38265\n8388 48591\n9086 19674\n40387 42114\n12208 32031\n4888 44676\n944 34725\n19642 47791\n24998 34517\n12685 25895\n14255 29003\n15708 35543\n26054 42847\n2624 37618\n20858 32605\n4098 47577\n16827 19108\n39396 42229\n8555 38508\n990 27081\n30740 45267\n22766 25484\n37905 39799\n4108 12993\n10667 19648\n5710 39701\n41832 46463\n6075 13918\n15945 33381\n45123 47454\n9200 30591\n30979 33313\n6478 16162\n3708 35404\n2928 24571\n20700 36921\n21831 35150\n19344 23296\n8236 17108\n20428 35596\n5648 7269\n26155 39968\n37704 38952\n99 489\n13935 42124\n8505 24519\n2160 16075\n13830 42924\n7363 23669\n2029 35908\n30661 37163\n16605 42946\n1416 4592\n5454 20580\n3800 36577\n43530 45445\n2378 41491\n6455 31711\n9987 17719\n6678 34533\n5265 45125\n31785 34804\n5689 27586\n23939 44794\n23054 33502\n1888 2598\n11532 18730\n21963 38663\n4668 30100\n15205 20733\n24030 44229\n14653 17038\n13736 18023\n37259 42612\n3253 20808\n2147 37069\n11187 16191\n26890 37313\n2197 27456\n43552 47924\n29093 34974\n38416 38603\n1280 17157\n14003 47521\n19095 29809\n5694 31676\n14063 18541\n11014 12395\n12743 28787\n19564 32014\n906 28857\n15102 30714\n11254 35229\n24787 42291\n6624 29040\n14882 47946\n3251 8918\n17734 30979\n28209 34796\n3907 19521\n32459 33910\n7479 47018\n3772 20889\n5973 18344\n30603 39847\n24040 29533\n818 14228\n6186 30915\n23323 23981\n25889 32265\n42818 43567\n3303 47706\n3497 43133\n5943 47954\n25722 30890\n4204 8970\n27133 31269\n5262 13817\n10165 23798\n6856 41542\n3215 6492\n12613 21132\n29262 33506\n35835 44090\n3264 44940\n2844 19258\n8163 39459\n25441 34087\n16480 28355\n6376 34325\n7303 17682\n14177 29593\n22601 40939\n967 16940\n13334 31003\n3473 12623\n26002 39182\n5441 41263\n16135 39859\n14988 21257\n41837 43139\n26068 27753\n24613 33028\n20135 23582\n6098 10321\n21820 42756\n19065 20193\n1926 21609\n6188 34323\n28835 30536\n5816 17794\n33508 47506\n6690 8288\n29381 39174\n11678 48139\n28823 42152\n14293 45337\n36673 39425\n13004 29662\n23199 31648\n5484 44321\n4329 9824\n13378 36550\n19669 29008\n10462 15035\n9701 33971\n18682 38456\n2943 30950\n10296 24834\n34849 41484\n34445 42496\n3969 41472\n9399 17763\n30977 39498\n12458 35698\n38600 41810\n8476 24808\n12314 27536\n1000 31678\n12832 44256\n90 24802\n15068 42838\n7250 30883\n9480 46239\n15838 29852\n22059 35186\n3556 13784\n12074 28670\n14780 17636\n601 39489\n29818 30793\n15462 41295\n5293 44649\n34147 41599\n5213 28383\n8281 40156\n26404 47682\n20745 31079\n2227 16765\n16687 48335\n16082 46127\n13322 26536\n7268 14679\n23359 32266\n4932 38611\n22817 30306\n31010 41837\n16077 20682\n20698 33392\n42777 48426\n23225 30331\n17743 48333\n40088 44623\n16294 42291\n6718 36848\n21170 43314\n14893 34871\n15366 32284\n18594 25171\n4807 22653\n11531 21508\n7530 44749\n8505 43759\n19149 32825\n40746 48498\n9582 40517\n28612 42873\n8988 17819\n9575 45946\n39040 42610\n11338 34472\n38564 45002\n2595 34979\n29334 39771\n940 32978\n32933 34662\n1782 30895\n6485 37575\n7294 21774\n14170 22575\n36850 44357\n43555 48570\n14509 36608\n19801 30141\n4240 40045\n30276 48072\n33814 41392\n7538 14109\n1781 18253\n3041 6528\n13162 14815\n11864 33367\n15931 34308\n2470 10483\n4306 6924\n23865 30823\n31443 42567\n3576 45568\n23670 38163\n28922 37466\n21706 47120\n19267 24143\n28387 43602\n9035 18684\n11394 19861\n5144 15156\n18057 26265\n24444 43104\n22469 22652\n11215 37867\n25110 37718\n30256 41151\n22274 28861\n6351 30848\n25296 43371\n21439 31171\n10876 11516\n31380 39601\n9408 35391\n1525 36028\n2293 28012\n3707 46546\n31715 42231\n24064 32631\n557 36297\n35538 41275\n6006 21363\n12057 29389\n33273 36339\n939 15378\n23012 30043\n13733 24082\n34903 37996\n14153 17465\n14298 31194\n21477 27621\n35639 41296\n31221 46278\n85 36771\n14247 17624\n11447 43890\n22017 25918\n4689 20568\n11739 42384\n14630 21341\n36569 46031\n39677 47493\n6979 10090\n36446 41184\n34006 40024\n37398 41301\n10863 40703\n31997 39669\n32318 33086\n18883 21057\n22306 31107\n5746 48423\n20080 34690\n15531 21963\n3642 18062\n27131 28266\n280 42084\n25865 30964\n1729 14487\n7769 7900\n29133 41046\n12500 48464\n33814 35395\n7101 42210\n16445 45891\n31653 40710\n3442 23915\n15331 31525\n29969 39094\n9556 34778\n30417 31304\n16152 37194\n18999 45756\n4126 27210\n6691 46479\n775 34634\n24731 44280\n15618 32327\n220 6807\n31826 32978\n34293 37847\n6742 21364\n31758 47562\n149 10231\n7012 14497\n30478 37854\n28907 46664\n8640 10261\n23891 37283\n22487 45547\n4054 5199\n4468 22353\n13888 40584\n21870 22420\n1125 46601\n18976 26674\n1350 47161\n32641 38985\n14556 42982\n29080 38674\n31828 47323\n15206 35125\n261 10767\n20187 46041\n6087 41074\n22707 42838\n1552 35549\n37137 41471\n2440 10614\n24850 32348\n9464 39140\n23506 48470\n4159 32912\n1256 23355\n46539 47671\n9271 10677\n1499 6251\n17885 28873\n7339 21174\n10665 21305\n14305 35773\n6748 14945\n2554 42215\n32911 34389\n34011 44016\n593 13855\n14858 24835\n23448 29716\n219 23402\n6604 17876\n25936 37404\n29143 37992\n13070 39180\n13367 31217\n3664 28115\n35539 39449\n8002 30521\n16616 48376\n46715 47260\n15220 37818\n3385 31641\n6 35418\n17519 31464\n2602 16303\n2618 8824\n34522 38913\n20631 46083\n9362 22446\n24516 38406\n2031 48612\n1914 47487\n28924 42721\n28741 31015\n37051 44790\n20088 33146\n1735 44621\n20614 42115\n28637 32309\n26888 32636\n3695 8009\n10385 17443\n31005 39180\n16613 34044\n13961 28038\n11847 31495\n5426 36140\n38192 41790\n1426 42081\n6895 27335\n14457 22367\n31320 32875\n10341 48588\n37753 45352\n3106 32193\n13739 21338\n39929 43502\n36551 44496\n6093 22086\n33572 35268\n35642 43424\n7155 31939\n27196 29735\n9213 13552\n16569 22315\n1497 26507\n20257 41911\n2644 18106\n4591 24619\n19161 30644\n4601 10992\n12763 15230\n31944 42936\n21367 42636\n4161 46277\n27610 47875\n29707 45426\n13799 24003\n7124 13698\n29249 43392\n18011 25433\n15815 18246\n27991 45539\n26885 35946\n12281 26450\n13732 21872\n11184 30617\n1057 23025\n6292 29404\n21374 31311\n4084 10053\n8746 23854\n11411 11647\n8943 11382\n41028 43816\n9516 20389\n7159 43680\n32074 46132\n24045 32270\n33627 38238\n15047 24953\n17839 41185\n4652 39559\n10729 17368\n8147 48266\n654 8457\n23610 40108\n26894 43623\n18411 33228\n16563 40434\n14242 29817\n3816 30573\n16827 40212\n250 23901\n29579 37783\n23193 28567\n10109 30388\n8846 26312\n10645 29566\n12397 29414\n13184 18882\n20702 24337\n12481 44535\n18266 25579\n38170 44429\n8663 17300\n16802 34045\n6933 26072\n6329 36465\n41546 46381\n5712 41458\n12867 30252\n5988 8999\n19721 39149\n8257 15340\n18902 23977\n32798 42505\n16709 41680\n32128 32163\n9464 41047\n16857 32370\n6305 38682\n23378 43601\n43622 44785\n28440 45160\n6554 22713\n5731 16425\n11823 48564\n5506 12142\n20284 35736\n12295 24818\n2863 22016\n37105 47296\n9540 21520\n34901 41588\n3706 15390\n8222 12716\n15283 24479\n4205 30728\n38666 42015\n23251 43158\n8306 48599\n7508 31247\n8867 35923\n8895 29047\n28180 31265\n39297 41873\n34878 39123\n25745 41204\n10576 19891\n16490 39014\n509 43232\n15892 47842\n36042 42551\n35422 46099\n25018 40260\n6210 42618\n5454 10915\n44681 47597\n7617 37864\n18441 37714\n32164 36553\n25519 36512\n26093 30375\n20408 42131\n27160 30389\n7450 26783\n19334 40830\n35166 43739\n18037 25210\n16514 43388\n3168 8061\n11738 29515\n3045 47113\n22587 28940\n28015 33383\n1329 6214\n39413 40739\n21162 36665\n31058 34699\n30536 46675\n2752 9797\n33521 40991\n21851 39138\n4656 29512\n2947 9092\n15889 24279\n34426 42981\n31429 33956\n16457 44178\n26711 39326\n5997 21376\n5678 27236\n11401 28266\n6361 37184\n9522 16889\n1045 27720\n18146 42314\n26329 44518\n2793 43549\n7731 45714\n28875 43324\n20952 42884\n23097 45908\n3783 20719\n21342 46968\n35504 38266\n25036 34006\n4678 47148\n13257 36299\n26215 45427\n34825 41181\n16951 21093\n16811 41069\n8420 38429\n13258 45871\n28712 30510\n14832 23916\n30855 43235\n8077 10075\n12659 38992\n40274 46922\n7480 43826\n37458 44882\n6041 11641\n14512 33542\n7739 20497\n7142 26767\n27945 48435\n14354 22746\n6698 15403\n29749 47007\n3724 21043\n12103 23490\n5093 11600\n40055 40790\n19986 22168\n2550 25587\n33835 42111\n16069 32190\n8215 26665\n12173 32705\n5007 12857\n28229 29529\n6752 33046\n1880 13891\n14404 43487\n18901 33740\n3571 48425\n14119 18131\n17097 27490\n6820 17660\n40018 47858\n4273 16480\n23131 23592\n19126 33206\n524 41822\n27208 32893\n28262 31164\n16474 33560\n24678 48362\n5896 41318\n34665 48491\n20942 22176\n5768 7538\n11885 41498\n25800 32019\n4229 27695\n13410 24769\n31799 39442\n22803 30529\n22528 38734\n37245 41631\n32719 44414\n26935 44690\n34772 47061\n9464 13034\n18184 29455\n11554 30614\n23479 27866\n12937 35873\n12349 15114\n10428 13847\n4351 36903\n7279 8900\n4372 39855\n23846 41698\n16701 40662\n149 15301\n13207 42735\n3131 42278\n33034 45802\n1302 1632\n38603 45903\n19425 36717\n9692 16572\n3086 43276\n24009 42885\n13159 16366\n24148 32793\n13500 21225\n6354 22848\n5731 43427\n8848 16431\n10894 27127\n10677 14432\n5613 25567\n32001 37839\n9341 27330\n31369 43992\n1339 18266\n26600 47144\n9693 33520\n13316 19498\n21906 48439\n15098 40413\n26263 34753\n12560 34511\n11946 35728\n780 10110\n28352 33470\n17235 22815\n9055 33139\n3222 26213\n11009 20278\n32678 45303\n30674 43338\n1440 10937\n19831 38836\n18572 27231\n37604 41773\n19289 29064\n11672 22962\n11245 46910\n34289 46140\n2195 14599\n21837 47379\n38806 40827\n36961 47206\n16123 40853\n8368 12747\n5921 18573\n12542 15128\n29256 47990\n1531 46434\n32851 46398\n13755 26849\n19113 42165\n3720 48051\n47224 48376\n11269 41527\n1981 47864\n12102 39377\n2056 3050\n7574 24955\n4653 22936\n14984 47361\n40797 47809\n33527 41690\n11663 42416\n18577 32966\n16856 21317\n31040 43643\n27353 35381\n27355 31422\n26249 40056\n19617 29378\n21224 44314\n17749 46537\n10269 48650\n16365 46936\n15849 16499\n9613 40333\n363 37224\n9673 23017\n32753 40808\n7647 19859\n10020 39490\n22218 41114\n5095 21627\n23473 46723\n28195 40883\n18960 48271\n28804 48451\n18109 20779\n3719 47980\n16361 36814\n29790 45469\n36066 42004\n20142 31153\n18960 48313\n44663 46020\n18347 38080\n35415 36398\n6307 39617\n1093 29257\n24525 27004\n10426 17043\n29182 31541\n2038 8344\n37795 42300\n4704 7857\n8400 31196\n7923 14202\n27311 32156\n25904 32389\n23067 39843\n4173 31903\n2596 8764\n8640 13397\n27683 48050\n29251 48226\n22125 22658\n14025 27500\n11687 17049\n146 23000\n8020 24650\n7826 25574\n1514 33769\n12705 13648\n11437 20755\n39295 45136\n40101 45374\n9237 29979\n1946 5854\n17709 39604\n5398 18506\n19642 38668\n22793 47706\n17394 37134\n41452 43334\n23160 41212\n23203 43451\n8790 37261\n33041 47286\n27649 27844\n30165 33103\n1266 9917\n10552 18211\n1848 4352\n14019 31864\n6682 7880\n17247 39313\n2895 21413\n2092 20096\n9843 47605\n9908 14965\n26658 26893\n2335 17135\n40575 45591\n2382 20994\n5427 44267\n6270 34581\n5911 18423\n5383 25328\n27258 38438\n37166 40490\n11993 29720\n4138 42339\n41839 42746\n32911 46511\n23314 38531\n2695 47596\n6436 27964\n22416 45799\n19249 43633\n18825 22784\n9047 12395\n29328 34168\n27129 45263\n6862 24911\n9686 35665\n8680 43109\n5164 48140\n35110 46309\n7073 14832\n8071 41162\n7554 46513\n4520 6271\n8206 29077\n20134 44777\n5089 21843\n28385 33787\n18573 33349\n31580 46139\n25320 31005\n21451 26716\n29242 46816\n17712 41494\n15861 19172\n40296 42492\n4242 15863\n8686 47653\n1035 43263\n770 30986\n15578 40050\n17845 31155\n17713 24213\n38059 44263\n15756 35391\n3541 15560\n17797 26627\n3543 16721\n38814 38978\n21895 37192\n25389 31085\n1108 11588\n4528 7348\n6332 27643\n16402 23277\n9500 15598\n24290 34604\n19422 20566\n13477 23521\n25589 46559\n7075 39578\n16304 47859\n41269 44127\n17162 25101\n438 36127\n20388 33199\n7037 27907\n21614 37612\n6182 41834\n20487 26130\n21895 40576\n14409 38372\n19330 20845\n9133 44101\n5466 35196\n16715 18781\n19971 42985\n36864 37790\n23914 38543\n4005 35492\n27478 37564\n11778 31574\n15024 43069\n5507 44824\n5314 5646\n1414 29168\n21857 24476\n9649 21146\n15994 42379\n6036 22813\n940 11390\n33592 36680\n11536 24304\n2461 37966\n10343 27157\n16732 36725\n37258 44839\n898 41652\n9041 23544\n20398 26309\n27938 46072\n29085 30375\n35614 36027\n5129 18177\n15757 22762\n13748 24199\n3130 12527\n13654 15152\n3637 5300\n4003 11002\n28323 44203\n40313 45621\n11349 18840\n24777 29630\n4520 10756\n8888 32160\n34696 47834\n35502 37549\n20949 21622\n28411 43103\n4926 26594\n10886 29037\n36494 39127\n4292 19074\n35050 38507\n26597 47828\n36193 47286\n25870 32127\n35746 36346\n32303 39015\n6711 17618\n9576 15383\n10657 19994\n13106 23040\n40855 46703\n16671 25605\n29479 46222\n25059 47288\n15487 19082\n12932 25652\n20960 45998\n18350 23555\n16772 18796\n32645 44331\n6644 39999\n3775 10906\n5577 26191\n22116 42528\n28175 37181\n17104 24000\n18632 42146\n13509 20347\n17511 26085\n3736 27390\n6596 18890\n19684 28124\n19299 33104\n1993 11301\n31750 33390\n43023 44606\n9880 32702\n1651 25012\n14031 17446\n24980 41851\n39615 41469\n45091 45296\n7540 11215\n17063 32159\n5793 33213\n2386 35982\n10585 36113\n737 10426\n3227 41895\n16280 32090\n6692 19478\n5551 44985\n27661 41439\n19799 28781\n45662 48477\n7832 30649\n17461 33443\n1027 38319\n1104 13279\n9208 45259\n15449 26513\n9452 32319\n2060 14784\n22990 30988\n27989 37342\n19130 47025\n23498 24920\n26764 38976\n24136 38476\n21896 47921\n16746 20731\n19966 25032\n30399 32675\n40584 44559\n17504 33336\n4522 10760\n6655 35751\n1842 13656\n2383 6644\n41087 45528\n12384 38662\n5288 37690\n30187 39229\n1749 46117\n11898 15470\n16916 37725\n3014 15499\n1672 21581\n11710 47983\n28442 44992\n14033 25790\n26471 32095\n7017 31958\n21591 37152\n8167 21462\n10995 30421\n5585 40087\n2577 11466\n11353 43837\n12569 38752\n28932 32429\n16129 35310\n2966 39189\n26898 39603\n17990 32435\n5833 48242\n6923 42259\n9560 22939\n13918 28344\n11319 15654\n25245 27164\n2620 32496\n10640 20920\n31741 38420\n7447 17221\n13100 13980\n7976 35804\n8584 37839\n14988 30148\n3017 43978\n758 12265\n1676 46383\n50 16632\n1613 29425\n18114 26225\n16559 33407\n5073 7415\n18715 37720\n38415 41807\n6176 26989\n1340 38322\n26829 47120\n25498 41661\n6471 10437\n2921 31620\n32474 36643\n31298 32601\n25015 35289\n13235 39605\n23610 30323\n26635 31033\n7033 42937\n20938 30078\n7229 13940\n43565 44699\n29008 29502\n20474 31537\n39392 46775\n3040 41997\n12750 37824\n2420 29273\n9788 32340\n13793 22528\n8486 15149\n5762 28309\n19684 42500\n1849 2988\n23247 34966\n16557 45654\n31619 35598\n9846 19979\n19301 40852\n7690 33329\n14729 28155\n26079 34180\n6117 20270\n1092 42663\n5915 28300\n35506 37204\n30502 39535\n20132 22744\n28447 37562\n5004 34225\n22338 27770\n1874 18142\n12320 23202\n28166 39134\n8134 25529\n33588 43857\n25362 35951\n20612 43224\n26178 34098\n4775 19027\n18641 46551\n23967 27242\n6081 38818\n14636 20596\n43919 45080\n9061 42342\n39289 47510\n10965 46489\n18212 47963\n27182 38574\n15592 39290\n41431 44481\n14147 42561\n33656 40094\n17764 41919\n7838 20804\n14649 45242\n16739 35450\n7452 21710\n10066 21642\n19015 48012\n33507 36283\n29615 48372\n34824 41799\n20157 37863\n12076 14979\n31497 35061\n40841 45564\n17500 43192\n40798 42900\n26327 44423\n32300 42534\n40211 44444\n10754 28896\n5339 32835\n14716 38640\n23036 26646\n32191 38537\n5555 25235\n25614 29566\n16221 40252\n9262 35786\n12138 26058\n11539 45833\n6758 42336\n30015 44537\n4160 25446\n1780 21568\n2539 25538\n14105 35817\n17734 18287\n13519 20046\n5049 10816\n6142 30767\n19572 21926\n8259 37673\n16166 16304\n2574 37134\n6069 14807\n8479 23328\n22495 28149\n37534 45770\n17053 26547\n11798 39831\n19529 24473\n45585 47287\n12553 38541\n23919 33863\n14319 37168\n6375 29336\n39083 39955\n21656 41710\n25458 33607\n4289 35910\n8998 24678\n32820 35865\n3692 4046\n9675 20697\n16397 20663\n12436 27002\n7145 42661\n22905 31141\n12920 17961\n11712 44483\n23719 45444\n1306 25317\n856 47932\n14958 31229\n643 32047\n44533 48181\n33398 45578\n28033 30859\n6066 14997\n17668 26566\n6948 46280\n10122 24758\n621 18307\n3803 42308\n237 5512\n16411 21171\n36739 37050\n3494 39802\n11992 31651\n609 48105\n2277 46470\n14360 16693\n20651 34974\n16581 41105\n8043 8265\n10293 38967\n38095 45843\n26046 32303\n7846 35495\n16280 38990\n403 4934\n24929 47037\n27206 33315\n19370 26868\n10904 29641\n26362 32536\n22032 30148\n4400 43681\n24363 29913\n23363 46430\n22346 33955\n3887 41566\n13702 17891\n1382 8267\n11767 48220\n17861 26912\n7398 26619\n11069 45711\n17518 25777\n23910 25183\n31293 40056\n3178 48592\n3312 14382\n695 18420\n14862 18769\n29325 29473\n14548 40549\n33421 40282\n876 36091\n32322 43602\n36940 46611\n25695 27640\n42315 48552\n12204 19302\n19453 24434\n29105 32121\n32971 41935\n625 29854\n8001 26975\n9049 25576\n14669 39168\n3200 8817\n12416 37456\n4249 41014\n17734 47780\n2710 12580\n15188 36893\n38903 45870\n12954 19030\n12461 42838\n37687 44249\n23810 32931\n11491 12605\n132 6568\n15147 39677\n4691 39901\n16131 46319\n18439 26486\n21250 28344\n2764 23080\n19660 47360\n42690 46605\n6054 34288\n7876 29057\n24429 28759\n40948 43660\n41870 42476\n1484 14081\n7097 44621\n29091 38628\n5980 31226\n2896 32099\n29786 41701\n22862 22997\n21490 47207\n7909 41234\n4122 11837\n4638 11855\n11584 15077\n12744 29306\n7628 17659\n28332 29650\n165 12429\n8274 13600\n36650 46499\n21378 30522\n2312 38198\n14289 22232\n46534 46801\n19332 48175\n37056 39237\n16222 32004\n17679 27402\n2683 45153\n13215 39548\n4600 7010\n40630 42103\n15246 24465\n5730 22002\n1677 38472\n44778 45802\n7278 24578\n34550 44364\n3320 14493\n22092 45540\n8662 47603\n20666 45769\n24979 47787\n36876 37030\n2077 42674\n13383 37077\n1903 38435\n3828 28916\n39579 42565\n18230 44743\n5813 20634\n5319 37260\n14964 24577\n34881 40333\n28229 34798\n12214 41731\n34089 45273\n23905 37886\n9174 9932\n26485 34902\n1126 19250\n35108 48025\n27915 37259\n16722 19412\n25016 36322\n7456 17483\n27870 43429\n4839 12285\n17815 45954\n14557 20031\n40006 43042\n14134 31969\n19738 42468\n37852 47607\n8073 37325\n2039 46241\n16301 39813\n29408 42326\n36030 48605\n12276 29607\n30486 32104\n12716 48193\n3003 39764\n18123 22967\n12915 39933\n12087 21579\n5540 18481\n26161 31217\n7787 13234\n17555 45202\n968 47705\n33423 42446\n14362 21641\n4609 40534\n5178 19191\n16835 27678\n6525 26532\n10073 20685\n39752 41080\n8659 9027\n10332 12344\n6033 25780\n36437 38573\n38020 48346\n3611 27555\n26162 43346\n25149 39017\n1498 20803\n13344 20921\n25619 45940\n1164 40952\n5530 21496\n19129 42833\n24244 36648\n1310 34418\n5857 15624\n13374 22807\n5604 32543\n20644 23889\n10465 40185\n16227 20343\n25436 28048\n28039 31972\n18838 24656\n16692 45912\n21212 26083\n22823 27156\n5279 12017\n8715 41456\n28774 42920\n1835 26186\n25963 47867\n12962 38409\n32458 40333\n31005 39825\n7825 26189\n2802 47570\n36263 44443\n14935 46717\n13125 32836\n15810 19604\n14905 18760\n10330 12183\n34481 36470\n11561 32290\n2667 24789\n6457 7567\n3276 36263\n36959 45458\n14299 31671\n29075 42349\n14671 46800\n9408 23458\n31785 41194\n13368 16227\n17698 38459\n6932 39212\n1370 10505\n7648 26880\n29560 41659\n11109 17222\n8321 32328\n8744 12484\n138 46561\n11162 47567\n43318 47859\n5206 45905\n22127 35333\n2455 13771\n6075 35645\n3798 45251\n1972 13750\n34421 47838\n9880 37911\n11142 47668\n11188 20065\n16578 48516\n9328 39989\n17385 38643\n6828 35946\n18712 47143\n4359 22100\n13471 22978\n7591 29690\n3037 35378\n18587 26648\n5681 35202\n399 29511\n15233 17843\n34177 42926\n6018 18906\n3191 39872\n23319 27340\n525 26655\n5796 6099\n15575 16760\n22656 25505\n36558 37531\n31681 40689\n36647 39715\n12954 33094\n22912 32660\n13130 28487\n16389 28852\n2644 12005\n41431 44961\n16852 47364\n13449 20102\n12799 25779\n3083 19102\n8330 46439\n14865 46095\n18317 22881\n30338 34292\n1745 28801\n6421 19280\n10134 45838\n26584 31373\n13573 20822\n16157 44723\n20088 30593\n4474 18569\n8097 30049\n27685 36041\n2814 33360\n10207 15634\n2888 27208\n20868 47620\n9718 23962\n9675 25255\n4411 41541\n24140 44882\n9220 23317\n6467 29860\n22607 44611\n3161 16079\n5512 16781\n8263 15400\n1382 22820\n20036 38876\n15836 41154\n13712 23851\n41732 44329\n21000 40832\n32694 40895\n6287 36120\n22812 26422\n7369 22873\n24919 35232\n15100 24065\n24824 42773\n6638 22706\n33316 42727\n6248 48380\n17608 18368\n1056 21505\n4214 37399\n15656 28347\n6070 31681\n12564 30776\n26955 28350\n32173 40680\n2162 13150\n16592 41993\n9641 22948\n3282 24653\n12955 28278\n9366 21784\n27157 47837\n5415 26650\n5070 11703\n21253 31657\n26241 41273\n29975 31494\n4789 13835\n26347 26906\n39148 44939\n32646 41809\n42850 47520\n19630 31560\n17863 22682\n40141 43163\n17359 18423\n13130 16558\n39976 40516\n5893 14277\n10536 34173\n2678 22135\n6958 23164\n1803 26648\n20104 38827\n20001 39944\n18738 25860\n17106 43960\n4507 8728\n34841 39118\n20192 46443\n619 36082\n8487 19705\n13860 28272\n21058 42396\n13238 29412\n29263 33102\n12792 20354\n11015 35014\n15522 22042\n13144 38141\n21304 36612\n10428 29878\n30930 44470\n409 29797\n5135 44501\n44049 45406\n23730 23888\n11379 43095\n2135 38582\n26792 45704\n28727 33177\n24907 44917\n1729 13524\n26856 37564\n2429 10696\n25209 30803\n34494 36779\n405 38046\n9581 37610\n2626 42213\n18335 20773\n31521 43319\n4056 35578\n872 18981\n5179 8360\n21720 46023\n14232 19976\n15941 37154\n2253 43939\n36367 46628\n8003 18241\n34665 36516\n23543 41907\n8524 23179\n22703 38224\n73 32809\n11138 41381\n26644 28436\n9824 33269\n4909 12650\n26816 41279\n25345 43468\n9203 27078\n28516 34992\n2773 3037\n1873 22712\n31456 34156\n23780 33470\n6240 29400\n4205 9769\n21629 29980\n13570 27753\n7009 42875\n32397 43658\n38567 44348\n1344 27750\n27665 43832\n6119 35217\n7556 34327\n26200 30392\n7154 15826\n32164 48272\n21738 45101\n10509 18006\n34052 34528\n2581 22349\n19173 37928\n24249 30077\n1296 31848\n27790 40492\n3593 10091\n19450 43255\n37 32432\n15004 46180\n1801 40804\n118 18412\n11123 28590\n1089 44514\n22795 23182\n5268 43161\n607 31346\n20414 28322\n6006 32167\n4312 39411\n16730 46343\n21269 33441\n22691 39750\n22704 35881\n33215 47593\n42124 45664\n6799 39991\n16955 29538\n29663 46562\n19978 47603\n6695 12091\n20609 26497\n1640 18423\n17348 40709\n37408 45704\n35168 44153\n9331 39632\n84 36601\n10161 42223\n9591 12770\n8565 27977\n15056 29953\n19334 33680\n29211 47618\n17122 32793\n18326 24279\n27712 46855\n5431 22416\n11479 34904\n9076 26184\n24270 44604\n871 34159\n3620 8981\n28259 28285\n18380 20029\n15047 34611\n5142 45895\n5089 39024\n8538 30197\n9063 21590\n31650 43678\n8156 46526\n3183 25084\n20389 40742\n15750 40448\n3916 32691\n6742 9283\n23333 28566\n254 47637\n4354 20478\n18369 42837\n3794 40561\n1968 14544\n22190 36515\n12498 30908\n7772 40326\n19691 28558\n2634 10968\n23304 36442\n11564 19734\n16625 22935\n19225 22243\n13795 39821\n18974 20842\n33737 42924\n19142 29182\n18402 31154\n3102 40671\n2329 41784\n26918 32806\n34410 35750\n12904 21635\n53 16335\n23762 39011\n24740 25034\n14840 32197\n13531 35546\n22592 41785\n2550 30423\n9942 14826\n7729 16754\n31841 47242\n26960 48405\n10588 39414\n710 45413\n6142 30761\n25978 40526\n35122 40179\n6669 41456\n12619 26632\n19802 29207\n15423 40475\n14701 41777\n13919 23965\n1306 19539\n25668 35691\n33040 48082\n11174 15898\n31076 42310\n19420 38565\n19923 25942\n43200 47667\n20028 37469\n7654 27017\n36476 36725\n13930 29266\n6681 47907\n7794 26428\n6613 11018\n21390 23389\n19037 44917\n6639 12452\n20392 43987\n42126 45871\n41299 45828\n5410 46458\n13311 13467\n5232 24316\n11786 23414\n12718 37702\n6248 37722\n15571 36908\n36000 48676\n19624 38934\n3103 32907\n30776 34593\n2177 13323\n1977 16515\n12892 27673\n9332 37537\n21184 28545\n4871 11529\n772 38949\n12145 45212\n7479 9885\n17546 48224\n6571 36763\n39872 41188\n27103 45348\n3404 37413\n31274 36676\n2721 3175\n3527 46350\n2853 20085\n4376 35328\n7949 8913\n7590 27562\n3917 16823\n4770 44896\n17 39910\n25033 37339\n32465 34265\n6477 11712\n32039 33640\n15182 39130\n5072 8929\n10691 11157\n33308 44428\n2900 26072\n21323 42918\n5205 35742\n38712 46680\n12040 42946\n1369 18957\n3924 12026\n22332 44210\n3644 29414\n7417 26103\n16793 25685\n29646 44162\n14761 23005\n26662 32637\n26251 36477\n9288 45706\n12759 40203\n23167 41191\n881 40658\n32451 33998\n11376 36164\n4839 6261\n3354 32406\n22920 38625\n20367 23818\n12545 12916\n2336 10798\n32377 48263\n38759 40875\n1392 8079\n7523 17663\n18550 43440\n897 35501\n9274 17483\n5508 14782\n22575 26323\n10606 38528\n26516 31605\n18722 31512\n7940 29103\n1301 28808\n16948 28790\n16427 42549\n7340 48158\n1182 27646\n294 10390\n24336 41954\n27112 44897\n7625 34203\n11811 14641\n33837 46894\n7639 16321\n4537 36796\n36535 42897\n12327 47787\n14004 31365\n20340 43029\n19296 20544\n12247 38289\n34596 44889\n5465 19246\n21914 31880\n99 47329\n2640 28819\n10990 19135\n16179 35205\n24454 33771\n1370 17194\n134 7354\n15784 38526\n1392 36432\n12707 37745\n8007 15805\n24341 37259\n20702 21861\n23048 24732\n9506 13065\n11668 16869\n34277 38527\n10030 23917\n14656 19469\n2001 7851\n11579 36864\n9427 22188\n27432 48611\n20436 31668\n41704 43051\n9869 44621\n11700 14288\n11626 16379\n30095 32182\n29640 38795\n24364 42533\n31113 35463\n28299 48513\n264 48500\n16757 42847\n20737 46273\n1038 20033\n31252 42743\n2188 45153\n7127 42210\n7755 20326\n33387 36544\n10011 25949\n3372 47578\n35439 45359\n8220 22885\n12697 32556\n25642 43431\n3093 6345\n12569 34642\n5360 31838\n17080 36220\n4420 40565\n14490 31689\n12527 18669\n13 35758\n16374 34282\n17034 36431\n26679 35835\n37878 46219\n5826 38089\n14460 33790\n2549 6383\n25229 28595\n9804 43621\n29437 46859\n29936 34470\n30678 37421\n20354 23784\n1167 41015\n16652 38812\n663 1539\n7324 8366\n10164 43618\n8538 35156\n37862 38208\n11694 12771\n291 37740\n12427 17216\n2806 27686\n16673 22319\n726 12275\n161 36408\n5938 22042\n17537 40888\n1341 19639\n1809 27248\n20068 26020\n16373 24792\n4849 5485\n7648 16725\n2162 7352\n27284 34026\n22226 28611\n20207 44007\n2898 26785\n220 42943\n1222 13082\n23051 47857\n6205 45785\n7385 35378\n16980 31856\n8990 26613\n3477 7590\n16766 34588\n27442 40129\n21924 45286\n11097 13139\n10953 38078\n9758 38574\n31429 41170\n17062 47822\n37846 48235\n2189 28618\n9715 46837\n15799 28246\n12684 37985\n15372 27766\n14121 45990\n32323 38037\n3283 30260\n20025 43373\n10025 25911\n22510 34367\n21047 48244\n14073 42624\n11318 36025\n4715 48089\n17796 38710\n15423 38266\n8728 17837\n43726 44315\n7169 13369\n38288 45282\n3965 15676\n44286 46842\n7555 46833\n5250 23168\n6598 16318\n28105 34996\n35989 37407\n8286 48586\n4376 21668\n43580 45822\n46394 47617\n8474 25223\n10085 43327\n1241 29482\n316 28991\n17912 27641\n23020 35451\n27509 47057\n22761 23005\n10113 38521\n11171 11435\n28937 35794\n294 33442\n17653 23520\n27633 29345\n10041 31982\n9382 33863\n7813 35705\n19777 38766\n2307 11358\n15571 22109\n30226 38019\n29118 43774\n3912 24100\n18841 32773\n16312 39936\n14905 19919\n6874 25278\n1263 28453\n30001 37227\n20110 37977\n30565 45223\n46090 47390\n1997 12832\n16352 20533\n2051 38623\n12774 36611\n5287 7770\n5230 27341\n35282 46591\n35375 41629\n9996 33719\n11630 25789\n11189 28885\n19031 25952\n31377 42404\n18322 38797\n21149 23991\n2230 30418\n43115 44636\n10238 14429\n14642 22613\n20927 26200\n37325 41930\n6565 36250\n17259 24022\n2086 34783\n6651 20260\n43770 46171\n12841 28205\n44589 48006\n25773 47965\n34853 48267\n9597 40803\n4433 4462\n1364 47734\n16266 19072\n451 31534\n34178 38629\n5224 35479\n6276 17942\n16366 23446\n19722 31077\n17792 48508\n29943 43332\n42064 46191\n8324 41505\n33810 40716\n3510 43858\n35239 37768\n6265 8311\n292 41312\n1972 20971\n31378 39153\n14266 25615\n1800 40003\n1897 18019\n19526 21669\n13870 41557\n1009 30500\n1958 37139\n45386 48235\n13433 22996\n41954 45304\n9601 13648\n4241 12011\n25139 42898\n7198 15540\n38093 42488\n13849 21428\n7584 36189\n367 36260\n26237 31515\n24847 45302\n1015 46673\n13040 19250\n13186 41998\n2578 10193\n21536 29668\n17120 35333\n3902 34074\n22471 28344\n10732 25112\n9344 35308\n640 36811\n3580 40468\n14306 15169\n42005 43771\n7989 13259\n7522 24565\n6552 37018\n14906 29635\n37709 44098\n24119 28373\n2010 13527\n3383 48424\n18164 40460\n7955 26632\n22854 43995\n26919 44415\n8832 29823\n29244 32958\n29361 32572\n1341 31327\n16095 20272\n11623 42767\n5057 22409\n13438 41006\n10794 44080\n6829 26295\n30600 46282\n21129 38007\n22338 26965\n14442 22482\n6294 14291\n8480 15695\n27783 31629\n1770 16382\n4096 18515\n4202 38902\n23947 37884\n1163 9509\n35975 48318\n20238 23106\n23759 34599\n2163 27642\n39076 40555\n5614 27639\n16186 40776\n8134 16283\n13762 39788\n3413 11816\n9667 29498\n23062 44384\n12871 19212\n6565 36662\n18812 46493\n5556 24304\n17674 36462\n24087 34804\n7552 8054\n1067 28383\n41749 43611\n12908 14814\n527 31416\n10413 22705\n884 29185\n7987 24508\n22143 25823\n1183 3226\n19824 46284\n20001 40618\n17471 22035\n15222 26522\n32107 46892\n19995 20065\n2021 22210\n22200 43014\n19928 26919\n5495 36559\n11827 42163\n5297 40789\n30902 38682\n18958 48617\n1837 12466\n17989 21667\n37620 46737\n5029 42182\n3190 4990\n19758 35009\n1537 46171\n3719 28282\n21792 27722\n10078 43132\n30907 34189\n10949 33828\n15947 25517\n9733 43968\n10881 35728\n31744 45540\n11719 37682\n3560 44784\n6927 33741\n4874 21358\n33141 35208\n10933 36308\n42908 47069\n19465 25064\n4266 30753\n46806 46957\n12851 23512\n36639 46340\n22580 37450\n2669 20871\n4434 44136\n8358 43546\n6134 19911\n19785 23481\n2641 30367\n25006 30393\n19355 28629\n13215 32995\n32363 33627\n40244 46176\n26453 30976\n6704 23446\n2765 31837\n7259 42534\n2080 8467\n35239 46376\n22218 26845\n19128 39675\n7182 27288\n17407 45164\n22151 46904\n4847 17374\n5913 15855\n5095 5215\n31395 37810\n5243 17140\n2526 2838\n13838 20527\n10052 11430\n6636 15031\n6383 17758\n25031 47398\n3601 27595\n19465 29205\n25866 47373\n22966 30488\n27159 36008\n11754 15246\n1430 1500\n23553 39127\n105 12620\n11604 26865\n37484 40653\n8156 26457\n22701 32596\n19045 20371\n6497 14526\n42351 47847\n13760 14616\n15007 23409\n15629 18285\n29274 36589\n34518 44276\n673 21353\n21279 46943\n29856 47702\n16020 29981\n26884 46370\n7020 29598\n16042 23458\n29297 32190\n32933 39951\n19574 45384\n11952 24585\n26898 33461\n16467 19705\n14251 33645\n6126 18856\n16818 26044\n33165 44644\n1267 45506\n8870 42931\n5214 13676\n34228 38522\n43863 44713\n6851 35049\n40538 41197\n19033 35821\n22812 33940\n24127 46973\n22851 37346\n24105 47179\n6654 22291\n37683 39080\n11236 25642\n142 44019\n1393 27493\n991 44219\n24306 26989\n20809 25164\n29457 31140\n18922 37396\n4353 8974\n36431 37384\n34526 42001\n9918 37806\n9126 20686\n9048 38424\n2647 36417\n9566 26188\n27498 30596\n32966 44663\n16955 48645\n42939 43237\n34152 42454\n12293 37653\n3045 20953\n5866 15144\n27167 43169\n23735 28351\n20031 25764\n12239 32905\n920 2621\n18713 23990\n725 37204\n4229 21355\n30309 41228\n33449 44097\n7605 48262\n132 45132\n3084 36661\n623 6790\n1660 21200\n12927 34160\n8104 42767\n17951 41068\n26985 33767\n19179 33266\n543 18745\n3608 30501\n7303 44002\n28346 39244\n42011 45709\n23305 36146\n10467 11967\n1359 24645\n9233 48671\n39605 42789\n25303 45760\n28084 42717\n1574 27994\n1683 39145\n988 28368\n34324 38327\n22745 33386\n9557 13716\n29306 34453\n9897 25045\n43321 43525\n1609 8001\n20929 42679\n31711 32927\n4972 48375\n24912 26504\n29875 44709\n31590 42269\n40755 42571\n13599 31938\n600 33273\n1329 16899\n16032 25911\n20110 30644\n22601 48304\n16126 30405\n1767 32984\n9828 46783\n22462 23553\n5744 12555\n12446 31089\n21320 30950\n22329 43404\n12437 34695\n18441 28816\n26560 35831\n18124 47170\n20958 24770\n19225 32901\n6249 28269\n31381 43741\n16525 38749\n34901 42833\n14702 38012\n11262 44902\n13197 33181\n7220 32396\n4519 27375\n12367 36611\n40085 47002\n14226 39229\n36441 37225\n13337 44057\n21248 31273\n16652 23870\n8606 43485\n29624 46114\n20040 47796\n6047 16832\n18298 35363\n35463 36335\n26161 27079\n3330 18863\n15445 41240\n32686 44015\n10299 13560\n1288 15299\n20018 35036\n7578 16548\n14310 26865\n5389 39739\n41333 44562\n30735 45015\n9414 34383\n9978 41745\n13681 34345\n16029 35454\n16230 26643\n13696 43209\n33810 45223\n33874 37380\n23502 23904\n5336 9475\n10834 31987\n32879 47888\n28575 31622\n9758 35291\n4482 25779\n151 40845\n31738 38743\n292 9676\n9922 15786\n2709 41374\n23253 24446\n24967 32639\n3531 27416\n22520 30643\n8665 20356\n22836 40955\n3214 4939\n9908 11615\n33046 48559\n21637 22556\n7693 23808\n731 19786\n32302 39373\n18845 46276\n13117 24328\n18660 18898\n23178 39079\n8767 10785\n8379 12091\n2050 48402\n3761 23829\n4304 14324\n8117 21302\n15890 41251\n1769 42901\n23597 45309\n7682 36897\n18978 45852\n32363 36685\n15590 19128\n21885 28956\n4947 37559\n35352 46844\n6543 41105\n45259 48595\n23965 24891\n7964 42838\n1924 2097\n17981 42110\n33273 37312\n9438 14695\n13707 35903\n24174 24410\n16175 39206\n13219 46695\n33611 46334\n24673 28396\n12178 14184\n5862 35816\n16500 18658\n6253 48608\n19334 20663\n6508 17450\n3688 40550\n2491 8869\n4232 48282\n6992 19975\n1676 38963\n36010 38975\n33020 37991\n11935 12567\n32955 39413\n15797 17968\n2007 28659\n3977 28916\n9059 44525\n18951 36959\n2875 43899\n30679 31114\n7805 30865\n25889 31886\n1460 29431\n4344 38559\n9032 44556\n32181 35053\n40358 41824\n22579 36764\n15945 46703\n1647 11788\n5828 32227\n23628 42793\n1835 34563\n24220 41394\n3422 22793\n9435 16158\n21518 36700\n18738 19003\n13061 30053\n1357 6010\n7555 11544\n8076 31861\n23797 36264\n33706 44521\n15229 44076\n38113 42577\n20243 22531\n10636 12467\n25946 31051\n2566 35738\n11270 28468\n755 20714\n5834 19555\n6202 41297\n29914 33170\n41063 46040\n32125 48544\n31190 41261\n9974 31311\n14910 41508\n2766 30961\n4428 13991\n66 30294\n31617 39263\n18984 43566\n354 25965\n9195 15793\n989 20584\n15908 20826\n720 1637\n23857 31251\n3114 31036\n35739 40014\n14627 41064\n21069 37760\n8403 41338\n8364 9014\n14083 37378\n21347 25389\n26304 42217\n984 24040\n1026 11359\n19300 32197\n9421 23498\n8258 32014\n19933 21650\n11784 23220\n603 16010\n7164 18571\n3926 5094\n7642 28012\n7767 16832\n19759 34301\n21547 29617\n9891 43344\n8536 40260\n11600 18658\n5865 47653\n3689 5126\n23754 23875\n14665 27615\n22939 46721\n29435 45804\n26350 39438\n10112 26085\n7588 16897\n8736 31915\n18508 31626\n27124 33516\n43596 43944\n11594 38529\n21540 26368\n1134 3590\n32583 46840\n9775 26838\n2220 38167\n17637 33672\n19769 33144\n23149 27074\n13249 17181\n16001 37637\n30606 37160\n2309 16265\n8769 26913\n17458 40129\n16682 23004\n2873 9807\n7665 30081\n29332 36732\n30336 39975\n9936 35384\n6462 25421\n5822 11644\n15569 40491\n2208 16438\n32111 45737\n28508 33599\n14327 33132\n9583 19727\n129 16149\n22007 41059\n2636 39318\n148 2811\n10232 15805\n14658 34907\n1372 36679\n5070 18568\n38279 38861\n19584 41988\n17494 20882\n37202 38415\n38849 44328\n26236 28187\n37333 42867\n26400 28469\n17774 22014\n24523 32461\n32954 40268\n11283 41340\n13925 15327\n38834 48210\n33217 33918\n16034 24732\n3774 47661\n2847 15080\n18131 21178\n26335 27394\n34521 36448\n967 44576\n34830 36198\n13053 46077\n17040 36403\n17236 23155\n35418 42293\n5468 21749\n24017 26495\n18673 33955\n36392 38695\n16385 16907\n3642 29967\n6946 21976\n4287 9391\n4029 13065\n21094 28767\n16718 30733\n5275 6495\n5814 37241\n10837 43640\n8760 38326\n17770 28506\n4475 39165\n853 36927\n10079 14428\n6738 29798\n23720 46892\n3016 38674\n15283 26953\n12056 22040\n7374 39373\n5257 13369\n9994 18923\n9516 30925\n3891 25111\n17646 34566\n7264 23652\n347 7053\n30854 39818\n19900 44717\n39305 42855\n4085 31759\n19978 33657\n33635 35732\n8511 20599\n1330 22660\n45307 46767\n39930 43656\n4590 20001\n40244 44427\n26320 30809\n11067 33918\n7910 30036\n33354 41036\n18298 43510\n12539 33637\n1460 37253\n33944 41667\n38913 41331\n16811 48084\n14090 46670\n4877 7335\n3368 31412\n11071 15295\n5210 30687\n30770 31712\n7054 10033\n25880 35991\n5581 6908\n10250 25559\n30550 47047\n9105 48316\n11748 17868\n19266 23828\n39623 43568\n11302 17049\n22623 29605\n14324 47514\n852 36867\n8484 16485\n3970 6833\n708 5210\n645 41029\n22039 39068\n12389 15096\n24014 24361\n1030 42100\n2110 10890\n2811 12200\n10221 44100\n7527 31400\n8004 15453\n8266 21189\n4677 35263\n23367 31807\n25153 29134\n27035 47852\n5051 43015\n86 4441\n21296 36006\n39236 41363\n22763 33171\n38087 46016\n9201 36890\n4556 40416\n8662 44148\n33872 46283\n15003 15012\n23362 47869\n10758 41046\n26792 39255\n21635 42842\n4264 27041\n7208 43884\n21797 36885\n231 34973\n27599 48313\n2585 9678\n14959 44617\n39876 48233\n35410 45977\n45030 47114\n3884 33569\n5227 32983\n6297 10589\n11683 12135\n3380 17811\n2858 39181\n7306 39544\n10443 13268\n31554 48008\n10783 43991\n33818 45037\n13276 24267\n17479 21017\n3505 10008\n16595 34565\n19864 46059\n1439 16719\n9796 29719\n10244 35669\n1349 2933\n17005 27480\n13267 29505\n289 5586\n6073 48590\n14900 26820\n27696 38175\n26581 47374\n19789 42053\n11400 31836\n7964 13619\n9590 13032\n14646 18714\n5896 29087\n1451 27227\n3558 12631\n13996 22635\n15436 37063\n2832 7364\n13928 15669\n40474 43721\n7471 41265\n36689 37077\n21707 42909\n26264 35213\n40268 47559\n11380 30215\n22215 41464\n4803 32093\n22078 38920\n23823 25328\n10959 13743\n948 35449\n7885 35064\n12595 17783\n47806 48646\n293 33050\n41461 47337\n26251 40291\n10057 36004\n1414 33065\n27437 31388\n7302 37541\n12058 24341\n25040 31857\n7620 45616\n3566 34246\n24740 26686\n30179 39243\n10552 44234\n3433 18641\n10880 25479\n21066 42204\n28942 36289\n4867 20899\n18711 31014\n44240 48614\n15169 15191\n12038 45034\n26242 37840\n13937 18586\n19825 28321\n16583 26749\n29121 33691\n20026 48058\n2828 38694\n26506 37805\n12888 14951\n24780 39716\n5581 44458\n12659 16559\n17006 32145\n560 23486\n23231 46200\n42442 46684\n41221 44103\n472 24949\n4075 46252\n29079 41997\n4372 6365\n29556 43602\n7371 23036\n14164 24991\n13116 22495\n4776 40473\n25882 29438\n16812 41575\n6261 43996\n16185 23280\n36233 40057\n1979 23725\n20252 21357\n8007 13598\n17284 38353\n14345 31409\n20902 35056\n20461 26426\n15467 17213\n29181 32292\n10400 27968\n35166 46010\n11024 17396\n45004 46192\n22332 24850\n10501 24189\n25212 47038\n32961 46102\n19809 24461\n39148 47379\n47098 47655\n8652 27594\n7002 34857\n12905 27867\n5423 12331\n18616 48212\n2837 36139\n29851 42139\n39871 40557\n28691 36806\n23832 35323\n8548 39677\n25829 48492\n2923 9413\n29540 38394\n8375 45418\n17433 23970\n11457 23083\n9228 11079\n32706 43771\n22463 38540\n5882 32692\n23659 40493\n406 7171\n1763 42473\n12017 25176\n9048 24310\n17658 26595\n23581 28505\n19685 46116\n38089 47957\n23977 46199\n26713 29510\n27209 44816\n31394 32538\n8452 27114\n24167 31122\n89 33424\n18195 29859\n3812 30828\n25310 46603\n11484 45610\n25673 29770\n27781 44790\n222 24139\n9302 40514\n7030 26283\n18018 28206\n17251 34307\n37892 46735\n2207 36001\n37932 47432\n8249 44893\n3358 24225\n6243 27032\n31810 45371\n28655 35127\n384 7732\n43044 47641\n13829 16073\n27436 43213\n14594 43812\n12140 34030\n4527 30700\n32673 43492\n6462 35138\n7286 30330\n43351 45161\n3389 43530\n18884 32033\n12138 45709\n1261 48039\n3006 45197\n12837 30553\n33370 45043\n17458 33400\n21317 32377\n14087 17425\n17179 45366\n1284 3240\n8054 12717\n19650 20645\n6822 17526\n4621 8426\n12878 24239\n4854 36197\n7617 39119\n40648 48123\n8615 29328\n12099 25451\n7236 13391\n28991 44019\n6408 28914\n22187 29267\n5586 30567\n10336 28411\n12829 15049\n34362 39989\n27978 42730\n4807 29922\n11746 24974\n15838 23441\n9724 24108\n10295 43212\n40583 45696\n24848 29116\n16066 19331\n7823 22824\n20354 40972\n7391 11056\n4699 7269\n4523 39017\n43103 47485\n31781 33919\n23112 31767\n34341 38541\n21146 42530\n17117 19805\n10533 10689\n16726 38403\n26625 33839\n28464 47381\n2549 35375\n3192 18281\n1711 2958\n34432 39628\n17170 25587\n14013 25209\n18169 31841\n239 45767\n1013 24400\n6646 33868\n3425 29099\n8194 37545\n10158 11081\n34200 43257\n23646 44565\n1325 6383\n11413 26153\n9751 11231\n7501 14933\n23931 45713\n819 20492\n26950 38849\n26840 27769\n4615 41169\n15028 18479\n7909 15913\n2187 28244\n1871 26957\n12721 19692\n33409 45059\n17019 26074\n8120 36757\n1735 42681\n10931 20144\n21221 35602\n528 24117\n3231 12721\n42223 44188\n32484 33150\n657 19664\n28057 44073\n1150 34611\n32428 39856\n11332 41807\n24365 46749\n12131 46279\n26068 47524\n5281 27545\n35270 43240\n5750 37385\n40557 44153\n3377 40770\n25570 47667\n24346 44276\n31765 36172\n9408 26949\n2393 25113\n30461 38229\n3810 44416\n10124 28642\n3691 16055\n19591 33879\n16694 18868\n18856 40392\n10290 41668\n3533 33357\n35330 45424\n6600 44938\n14214 20527\n6531 30342\n10195 43299\n40012 44920\n19365 37727\n1687 9468\n5229 37305\n601 4149\n14384 21802\n10138 16418\n38910 47331\n1214 44155\n2563 6460\n30513 35828\n29357 39618\n9406 34899\n13839 36461\n13347 37538\n17062 44843\n12811 13652\n3179 21308\n4022 44664\n26364 42357\n2134 48635\n10876 30353\n28411 36436\n2734 42356\n4439 10214\n27347 48373\n4128 32720\n29997 37076\n1683 33919\n12322 15741\n3479 10741\n4309 31393\n7872 22787\n12669 28545\n18382 30127\n15297 28724\n25989 38672\n6209 40223\n28777 34510\n3927 4691\n17972 43727\n22794 35649\n10383 23280\n4995 44597\n34758 48366\n18070 27006\n853 36571\n1516 5209\n15809 27794\n2729 26630\n1714 23878\n9803 45062\n15439 31316\n3863 28851\n32289 40757\n2654 3691\n21469 27081\n9206 46381\n10469 28866\n35778 39494\n43389 48264\n1703 36399\n534 8983\n18046 28952\n44068 45668\n21156 45007\n27049 32686\n9721 34252\n12680 27272\n2973 46171\n249 10074\n23741 32809\n17756 37810\n1264 26831\n18003 36422\n21146 25443\n4550 48112\n27951 31935\n20496 44312\n30167 47175\n24251 42227\n16603 21929\n9287 44547\n27908 28885\n8903 38413\n13510 21612\n20970 23568\n10179 40486\n31636 35244\n9598 36425\n3690 34867\n26289 42506\n20461 41076\n41240 46828\n44509 46029\n32209 44319\n2096 44470\n12001 47611\n5611 10638\n32743 37532\n784 43876\n14052 37092\n15458 35800\n26505 26978\n11068 34010\n17455 34283\n24836 32464\n13919 31327\n7663 23144\n29135 41270\n43808 44201\n848 16746\n5038 37212\n1370 31343\n4243 17615\n22824 36100\n5141 10569\n23099 48467\n7637 43715\n14091 29083\n24594 26746\n28476 41594\n12825 44743\n33002 44648\n36024 43615\n18036 23063\n5892 37487\n15329 21711\n2262 38522\n34810 46394\n12684 38622\n6093 12682\n8577 11727\n5726 26711\n1496 33042\n5420 43464\n6648 27163\n31000 44801\n1233 30367\n6877 17032\n3042 23483\n15935 44380\n28963 41771\n4222 38581\n28155 42312\n904 1731\n22942 35608\n35144 35397\n37448 43097\n7516 31298\n22114 32630\n35512 44383\n13497 23755\n8184 46382\n8067 31429\n668 30815\n4357 44281\n7565 41429\n27926 47490\n7478 31988\n11340 44693\n30020 30156\n40441 43664\n10273 10665\n2151 47151\n1833 10481\n20778 27109\n5082 16185\n23866 31645\n15263 25277\n3189 46719\n15792 46631\n7063 18120\n4952 34219\n12649 39703\n11010 45970\n41933 45559\n941 5253\n3845 36847\n21508 27899\n6813 31203\n23104 46042\n9308 23797\n36687 48387\n12384 32843\n21763 47440\n21096 24091\n3299 46634\n5534 13894\n1208 27356\n1434 5606\n3333 35307\n17853 33325\n8433 14982\n33911 44246\n36320 37317\n23300 41938\n30576 45611\n6993 11939\n14761 40228\n36936 38131\n6076 41830\n15044 46803\n27071 34818\n12401 41865\n3121 30456\n20573 25617\n10931 21094\n8181 33666\n5904 15350\n21038 23644\n25807 44832\n15881 27632\n14802 22651\n2750 21514\n10159 28471\n36124 38906\n3874 17363\n7632 27667\n8713 9911\n21893 22581\n11003 15986\n37005 41077\n41673 48357\n28621 32012\n9464 15383\n18716 19931\n32907 40536\n8440 21819\n16229 47641\n24025 40304\n26848 45294\n32553 47462\n7576 37359\n37713 42512\n7166 40210\n1968 12086\n13902 33598\n34431 35014\n12552 24448\n5196 22949\n14275 31627\n4993 21943\n5914 20746\n16850 41934\n35913 37083\n12579 26439\n18700 44378\n23713 43664\n8034 18840\n31762 41696\n1798 27976\n18430 39243\n20702 34216\n24709 34217\n5472 37112\n14284 47797\n25683 45264\n11935 38107\n4079 35042\n23359 27160\n20528 25344\n2932 26597\n19488 28958\n40594 42758\n4514 42578\n13646 36893\n14295 45146\n30048 47180\n19708 38604\n387 37868\n30525 33907\n21918 43137\n12495 23208\n420 48470\n1370 24565\n34492 41868\n25350 35902\n12388 48621\n3616 40633\n6337 44674\n7385 47488\n10368 28124\n2840 27369\n20721 41779\n13145 43039\n12484 18748\n17837 30248\n35537 45661\n10285 20932\n10315 37550\n19592 23041\n10076 18396\n2242 26407\n4464 13186\n496 26267\n21207 28144\n25377 34106\n31560 47000\n24834 42577\n7140 22032\n11270 36192\n37697 43230\n27871 28810\n4880 38081\n7357 44803\n32565 47085\n2168 7081\n38289 46364\n13463 29658\n5147 17098\n12003 21466\n30192 47609\n4249 45121\n33965 37811\n2954 44211\n4525 36492\n5490 21022\n41055 48547\n21156 33232\n3868 20313\n10034 35737\n40478 44554\n31041 31175\n2650 45610\n23507 29439\n22816 37541\n11993 34283\n24854 25910\n18303 43437\n31224 40045\n42109 42872\n25251 27917\n29106 46563\n1882 4448\n20397 41145\n27906 40419\n35921 43362\n5177 42695\n11326 47994\n26958 47272\n35765 44307\n4015 40609\n4703 39953\n7698 37329\n43918 47164\n16501 29681\n4889 34001\n18559 28975\n1186 4311\n34965 36518\n17306 44054\n5703 31572\n13489 47629\n563 25553\n17251 19381\n15505 37766\n41458 44802\n21121 45879\n3600 34520\n23217 42533\n612 3875\n10033 29495\n17885 47780\n423 11315\n16327 40814\n34640 39118\n13141 44113\n22876 34534\n34576 36356\n24237 35971\n42724 42924\n27513 36202\n26518 27631\n39158 44462\n25919 40764\n37271 42162\n33671 36956\n13664 19696\n35270 36242\n5260 15474\n28720 38109\n26089 40323\n26749 47695\n21725 32336\n19843 35216\n13232 15057\n12188 17156\n11405 39000\n37345 38402\n14563 19821\n6926 26001\n5116 20419\n39774 46810\n8669 35003\n42768 48411\n2214 8621\n26371 46987\n6100 13862\n34279 39013\n8243 12463\n10937 44441\n6574 43863\n19344 19370\n12162 32000\n29139 30615\n10238 40534\n19725 29276\n8820 40387\n28407 39701\n1307 25448\n8516 15309\n15506 19470\n10717 26723\n11829 24191\n12398 47163\n7771 12714\n32921 41313\n16255 39022\n26439 38503\n23362 33208\n4228 46853\n10083 25118\n2418 10329\n8879 47457\n45423 47032\n10613 45777\n7520 11045\n3093 29961\n193 34994\n37370 39084\n38495 44558\n8317 39923\n42894 43812\n12097 28620\n558 38893\n5506 43851\n17751 40262\n15775 34915\n25125 30898\n42159 44582\n24877 44731\n7442 24065\n7180 43094\n20333 30510\n44855 47474\n17728 37039\n18745 29366\n7838 23909\n1987 26227\n12516 21033\n1968 48501\n27208 41178\n4660 44873\n14374 34312\n19548 26638\n17664 20890\n38457 44890\n33816 36954\n24016 25669\n29304 48482\n7290 22000\n2322 39959\n16485 18097\n15692 31142\n3646 45283\n1537 41939\n22216 48386\n36618 41383\n22669 32198\n2304 12552\n2188 25289\n14282 46921\n727 13759\n1166 48195\n14055 27000\n555 42385\n28357 34064\n19199 28118\n9589 12160\n169 41644\n5869 36244\n1612 36921\n13701 23456\n24021 27117\n4535 14467\n9751 22328\n19959 22722\n26697 39016\n1119 4630\n25590 37248\n6348 14803\n27654 31100\n25189 32860\n35724 38727\n784 13653\n17672 24067\n10126 18239\n25084 40472\n14218 24541\n23136 43487\n325 38727\n14827 46753\n9114 30868\n8365 12879\n1159 1573\n3530 24898\n23601 24924\n37915 46949\n764 45960\n15134 22051\n16123 25554\n16190 44578\n457 4279\n42098 42318\n9362 45740\n27735 40333\n18289 19799\n33001 37297\n33370 42654\n37358 39278\n9065 39987\n45030 45450\n13615 31308\n20891 22832\n35012 39724\n2777 40807\n6463 37882\n3293 6596\n17808 28865\n15348 47538\n5617 25131\n30696 40240\n9693 17491\n1965 45077\n31878 42943\n490 4034\n15759 19666\n34366 47342\n30523 34644\n2588 36393\n44485 45761\n8221 13195\n4946 24044\n6752 26378\n7709 38267\n18544 36177\n57 33520\n14369 15563\n18179 34105\n26996 30391\n29126 48244\n27847 40344\n29454 33687\n29713 31705\n1143 1370\n5034 36402\n28459 43609\n13049 42568\n18530 21737\n18571 31946\n24622 43911\n4143 18788\n7520 31827\n28141 48257\n20148 31544\n4132 33882\n21450 33502\n3175 3368\n17148 18841\n2336 42783\n15573 18654\n17230 18330\n17897 41266\n595 17681\n9456 25439\n15225 30171\n8492 10871\n5738 39619\n8719 22277\n37734 45076\n37508 44552\n13532 48249\n3356 10473\n9007 26297\n18234 21702\n15271 38919\n16632 20696\n887 1809\n6450 17240\n506 47744\n39565 47817\n11874 46692\n12588 43461\n3314 18287\n1551 8751\n15142 21012\n14339 24801\n12958 36584\n20405 30522\n26794 41928\n39269 45601\n3432 9534\n9240 16545\n21164 38490\n5511 23102\n24857 38753\n2155 36530\n29167 48031\n17142 43591\n26116 29985\n3593 40451\n22901 24944\n10578 45290\n1530 27066\n91 29377\n5342 43623\n21209 38546\n5631 8749\n39841 42882\n14311 32633\n24680 28133\n5881 19370\n34022 37791\n6902 33729\n21213 40350\n4814 36693\n18613 41672\n35680 39091\n3824 42587\n293 40258\n15935 17861\n33441 37594\n680 12157\n24065 25670\n30506 33145\n42688 47850\n37007 46178\n30992 35298\n26700 41971\n35 13109\n13582 35624\n20662 47783\n22424 36571\n29301 41552\n14373 39294\n27165 32481\n6159 19809\n254 35043\n45290 47996\n20155 48531\n5175 9549\n11755 12071\n7811 26974\n8420 13435\n29773 40566\n10438 44048\n8558 9938\n26695 37164\n8588 11919\n35295 38149\n20656 39261\n3293 30786\n8910 44398\n21305 27202\n44865 48350\n22031 32240\n7460 40474\n30888 45171\n5767 19569\n39700 41354\n20038 32799\n17056 24675\n14937 41068\n28974 33489\n6110 43683\n3178 11664\n15660 17282\n6484 26139\n10486 17410\n39004 48331\n13026 31564\n28122 45128\n15322 42128\n20379 23293\n6456 17555\n39047 42960\n8276 44046\n1343 19972\n41384 46753\n869 41102\n3543 40443\n39451 43017\n23322 26982\n42958 44011\n25620 31601\n9465 14723\n27475 35617\n4722 17189\n4637 38233\n91 27273\n12820 45744\n32482 40161\n41397 43687\n8119 26906\n29068 32187\n9368 32867\n19321 46467\n32120 32967\n37238 44157\n40230 46398\n40334 45698\n3154 21274\n30488 38951\n10376 47560\n22069 34265\n3831 19797\n2616 23309\n21361 39934\n18280 21912\n17258 23022\n15302 37233\n31889 35885\n9556 35699\n20270 40355\n2616 5669\n44536 47648\n2524 21957\n39285 45724\n11224 17730\n38535 39070\n18511 27659\n35994 40941\n21655 37786\n4261 41431\n4836 39648\n24739 36712\n5120 31301\n12476 32631\n12697 30734\n7474 14400\n23844 29940\n33550 43197\n2874 2960\n1636 12651\n6978 10266\n1047 35004\n14389 43152\n14657 44828\n3579 18505\n34633 46434\n6336 14938\n34062 37033\n20655 26276\n14943 38224\n30471 34898\n5641 25341\n31133 40578\n11107 24880\n594 41353\n11076 21177\n4785 7977\n37662 39548\n8427 8707\n32582 45879\n11925 29451\n10431 16950\n7240 34362\n17853 22394\n8808 28031\n22002 47477\n23962 46897\n29136 34515\n14122 45340\n22248 39291\n8668 44036\n38859 39296\n4631 37017\n34975 45382\n9440 34557\n8542 10474\n22075 27099\n41680 42093\n8827 30139\n32791 39016\n29493 36788\n6560 26236\n16059 39450\n19927 27177\n3788 28886\n1029 47008\n17517 38075\n731 18751\n16986 37077\n9178 40939\n11417 13539\n4459 40664\n11020 35333\n3231 35878\n11546 25395\n27055 40912\n2817 46044\n8658 20659\n6176 37414\n18871 26029\n9405 39446\n11217 34287\n17794 37125\n28607 47640\n1355 33493\n28896 46724\n10792 14147\n1605 7313\n15891 41174\n5983 24533\n7045 13074\n27692 42708\n10086 27972\n37269 37449\n31333 32803\n3862 28936\n34002 39869\n1091 40116\n19217 46963\n25331 33686\n28341 46728\n4856 39185\n32000 39123\n12730 17526\n31658 39577\n15089 17817\n9397 28876\n32894 33446\n15349 24993\n2692 47385\n25076 29565\n7513 31035\n17635 46857\n40826 45312\n20737 37198\n6288 40436\n18252 36941\n16443 18204\n19618 27833\n5468 13904\n24939 27229\n1906 20372\n20540 38461\n37363 44850\n3865 11809\n8453 12731\n1511 9356\n2215 44075\n10997 36702\n6290 22583\n11379 28807\n16020 44158\n36304 44434\n23116 33063\n8554 10708\n24502 46792\n12854 39319\n41435 47118\n7100 43298\n19536 30601\n6242 38268\n9352 35146\n39200 42650\n855 35217\n18358 29509\n15033 32935\n4425 30609\n36757 43652\n2482 37651\n8302 25992\n14084 23901\n20494 45933\n33837 44277\n18334 21043\n2679 6214\n8138 44947\n1312 38539\n11157 31808\n23301 25844\n31341 44052\n25025 44646\n6620 16401\n14049 34639\n30485 33775\n5249 32466\n25784 34792\n29701 31048\n11596 37188\n2655 42126\n18581 48319\n22803 27132\n41069 46489\n31706 47442\n39954 44744\n8082 47136\n7808 38374\n15996 20620\n28008 47184\n26630 44838\n10387 41724\n30254 36564\n7108 39667\n4310 46414\n27037 28542\n19113 39309\n15987 20293\n7741 28185\n4991 10360\n16464 22774\n335 33403\n16838 29574\n18221 42582\n17214 20636\n2666 12526\n12335 38443\n5157 20660\n26247 47178\n5762 22514\n21991 30744\n36917 45424\n8798 46813\n14574 22442\n5643 8931\n5272 34074\n8757 25925\n4397 46408\n19227 26442\n5414 29162\n17385 23082\n29262 30554\n11640 12438\n3330 30044\n21793 23106\n18494 34436\n32813 41726\n12813 13831\n4771 20498\n11084 40727\n7381 30495\n25741 46700\n1198 17327\n17494 22679\n46043 46222\n1549 33027\n2771 36442\n14386 29111\n1488 21989\n29420 32567\n41071 43464\n15840 27237\n32443 41281\n7040 33996\n43711 48547\n14037 34935\n29351 42338\n34863 47878\n455 22185\n11032 47872\n9496 29514\n24071 29359\n19012 38474\n16283 44032\n3238 25272\n8802 45980\n640 34961\n27423 43009\n9178 21201\n21385 45110\n12701 23562\n250 45810\n28163 48636\n25486 48183\n19160 20502\n16893 25170\n15692 21494\n3686 37571\n10838 36361\n34634 42355\n17398 27399\n25308 38921\n1886 7239\n32596 41636\n24292 36118\n30156 39570\n15949 23288\n15536 36811\n8047 16544\n18397 40268\n16792 22792\n33092 37048\n16268 36388\n10171 47330\n21852 29156\n5047 17247\n11450 38111\n13303 47972\n2671 10192\n1910 2124\n42355 48411\n14876 18362\n8574 17616\n16257 46269\n8029 39992\n6965 38081\n22427 39291\n6727 25391\n13912 18777\n12889 19166\n31032 38246\n26589 45576\n41036 45559\n11142 18153\n10483 17938\n20415 29689\n310 18008\n7309 32082\n8526 34897\n15260 33675\n20177 27077\n22058 29284\n8847 47381\n28235 38968\n26470 27416\n21277 47978\n1624 47608\n15104 22880\n388 24708\n18935 22346\n26721 28829\n1557 6133\n11058 19541\n5733 41703\n26703 38356\n34313 35266\n8220 10483\n15285 31567\n26360 41847\n657 16612\n24658 33304\n5194 42449\n3177 3875\n2947 27240\n28187 31520\n5622 23886\n14678 25046\n25773 41132\n14019 28497\n17725 23864\n29113 29645\n29420 33170\n31467 46738\n20788 44842\n36251 36502\n710 39934\n9386 11471\n6473 20386\n12647 22717\n2402 44224\n250 44285\n10559 17475\n15292 45579\n12624 19504\n1960 35744\n13750 46234\n18361 29400\n24829 46609\n14791 31721\n28446 42258\n38107 43532\n20887 44453\n9540 23576\n2918 32222\n6220 47159\n16741 48551\n5314 38120\n11205 35369\n12320 16189\n11738 29697\n32764 35122\n28306 29378\n21657 45893\n771 37125\n34642 37602\n30212 33932\n8644 47680\n25881 36832\n10599 37014\n11458 34562\n4936 31516\n13059 14456\n11258 33735\n28972 40138\n3217 4837\n3261 25064\n30883 34663\n23107 29740\n3909 40747\n4524 48230\n8259 47474\n5456 38867\n23735 31026\n8161 32282\n14831 37812\n39420 44175\n18391 31691\n5591 28302\n1559 25806\n28126 35859\n28684 30831\n8054 45583\n13006 46328\n17494 46451\n43921 47112\n33832 35244\n2364 8706\n2122 19569\n1591 38336\n25181 39824\n11413 33950\n26544 32470\n4682 13386\n15851 16884\n11021 24717\n2519 16358\n21988 32029\n8872 20292\n6589 7856\n7714 11062\n46529 47208\n25767 34007\n17055 26280\n13326 42398\n16554 26122\n12515 15375\n4621 30197\n34514 35238\n3478 26714\n8248 29277\n32482 38838\n25343 34979\n34530 47705\n11125 24525\n3981 41672\n5978 45638\n24982 27872\n27836 42331\n31192 41251\n24230 37342\n5193 27224\n46094 46464\n19576 42158\n28653 30335\n21715 22065\n38628 40810\n14040 23909\n9076 45833\n6408 32141\n18617 35878\n2450 39730\n15699 17880\n9907 26930\n30045 36486\n20552 31150\n16283 26586\n6475 40291\n12237 27263\n11518 12166\n37614 46877\n15048 37279\n19759 27772\n13073 35361\n27303 35639\n12421 43475\n6219 32776\n14637 45002\n18087 27037\n7596 12882\n15635 29615\n3126 23935\n32814 42322\n6928 24958\n28551 37937\n6468 28297\n2964 22493\n29035 35857\n6201 13492\n35713 43642\n26074 37367\n25632 33978\n18300 41336\n12761 37925\n41074 42130\n18936 28713\n13604 46188\n28561 34333\n33221 42390\n25582 34933\n14085 24782\n34724 40726\n19498 23904\n13599 48544\n4569 14905\n36265 36512\n24713 33955\n36971 40489\n4386 35400\n30929 38042\n32402 46446\n3019 47673\n3205 45452\n11544 21710\n25202 26781\n15915 32233\n13896 47656\n17767 45051\n10340 39938\n4073 25448\n16095 33796\n10625 31329\n23472 46017\n9109 36197\n15098 27712\n16136 32112\n19689 25930\n14307 43136\n2768 26304\n8658 17205\n29205 44394\n11551 15465\n24176 29685\n5534 31088\n14965 16090\n2221 13760\n18467 43656\n14173 24779\n24964 41281\n22195 41317\n24767 46352\n3982 37526\n16704 39641\n17350 35849\n17152 38250\n22260 43800\n6590 9726\n6478 13413\n31616 33558\n21650 44966\n20893 44714\n11331 35677\n4773 20811\n18527 48384\n16296 40098\n13738 26772\n1213 21247\n15095 24339\n8754 43047\n21142 38957\n22820 27582\n1154 39859\n12221 42115\n2793 28185\n20038 48364\n39830 46048\n3941 19770\n29424 44587\n29727 43678\n29914 44430\n23735 34050\n17780 45863\n27477 32686\n31710 36313\n2624 37603\n9329 48306\n28307 35880\n25061 35116\n2430 23116\n18023 29358\n6637 35522\n19295 31060\n5822 37958\n8176 44255\n4964 30444\n14207 18823\n17698 38527\n205 42297\n12572 19539\n20390 30643\n6854 26308\n828 42979\n13717 20724\n23978 44058\n22544 44537\n5547 47170\n11853 40410\n22805 47353\n1166 12276\n7768 36151\n30066 31243\n34990 39900\n20860 33463\n18729 39415\n17936 41621\n23614 41072\n28712 30961\n8103 17905\n27276 29324\n13379 31345\n42352 46815\n18718 48450\n15315 36612\n22798 46447\n4644 36073\n2579 34803\n11028 35358\n32379 39516\n41997 43013\n369 4998\n9201 24783\n14106 20165\n12736 37510\n2267 14538\n31707 35706\n25840 30300\n36591 44071\n14415 37314\n2106 13496\n402 41264\n4550 17035\n40127 41518\n11645 46470\n24946 36877\n12776 40563\n715 12977\n11173 15824\n16132 32314\n1979 41671\n2095 32580\n6657 13697\n16391 34587\n12871 33146\n4245 18552\n17400 35081\n19733 28255\n13216 19264\n16969 30758\n21963 39848\n7755 9545\n3432 27805\n37652 38546\n8073 15201\n1666 30052\n14141 23815\n16473 22804\n6272 22998\n9705 26857\n13235 26434\n6079 44269\n20294 44115\n14169 31536\n288 12915\n12179 30287\n15430 36314\n13685 43290\n17737 43277\n28713 37753\n27430 45828\n4780 44529\n16205 47820\n24901 36491\n3781 42675\n19263 22075\n29312 44379\n18494 34445\n5197 11063\n30422 37451\n6962 12379\n627 10241\n37279 38996\n950 40932\n41475 47065\n19995 39762\n32485 44938\n2180 10272\n726 14139\n15349 18032\n30485 34179\n24719 27186\n15029 33142\n44409 46088\n12965 47623\n6325 17909\n20563 42607\n3341 44501\n18701 34424\n12295 17712\n24175 46550\n19715 40553\n9011 33730\n17983 47286\n8025 38499\n2914 29148\n32614 44528\n25293 31769\n16052 18723\n10450 21488\n10528 12351\n971 42832\n17479 24970\n1979 44241\n1333 44233\n17973 33483\n667 48133\n16775 34809\n41819 42790\n13486 41807\n15074 36914\n9298 24584\n15948 19236\n4248 32139\n16182 18288\n19823 45224\n1515 3402\n7416 15415\n6517 29959\n3669 24857\n10794 24376\n7060 10032\n348 16241\n8071 17473\n11024 42714\n19205 44116\n5026 13511\n906 28131\n7032 43984\n32348 44913\n35921 42639\n497 18839\n22406 43230\n2622 28006\n4173 6145\n17456 40248\n32771 33920\n3737 11759\n1450 10439\n1093 21533\n28505 36670\n41576 47314\n16497 17303\n8449 47867\n18629 38809\n9046 11967\n36416 42082\n43 14123\n8763 21870\n179 39597\n32323 45206\n13026 14742\n7502 9294\n25816 34211\n30806 41513\n22452 31724\n27732 28190\n28219 36222\n20898 39127\n15993 27997\n8473 13556\n3063 14331\n24850 47507\n12450 29130\n3814 7878\n12599 42942\n26657 34295\n19043 31451\n13586 35634\n4366 15240\n36879 40908\n19767 36242\n2141 17079\n9807 41508\n14585 33521\n6943 31933\n3290 38835\n1550 8117\n20772 41384\n38869 40068\n22904 31833\n2054 34332\n24496 26470\n26491 41816\n40017 47678\n13998 21105\n14369 29708\n29974 46938\n10974 21288\n23686 25300\n14660 36107\n5690 8403\n19470 34767\n4525 38150\n16307 47344\n7233 40717\n33284 36027\n25230 31375\n9744 34049\n8335 34636\n6766 9125\n23405 38227\n18186 47594\n785 47242\n10954 32223\n9714 17514\n32850 48579\n5532 21839\n22747 34700\n19529 35651\n24404 47817\n1460 27784\n6741 11605\n30080 47159\n7232 14105\n11546 26489\n14249 16384\n5079 21537\n7138 32640\n21433 31663\n6298 36273\n8692 46653\n10466 27758\n4350 5104\n25427 37436\n7714 47093\n26379 45937\n15144 26913\n17553 47751\n17196 38720\n16232 19460\n28398 47465\n13165 45073\n17142 45225\n13767 46066\n2833 14473\n34645 41694\n2254 45053\n1164 4003\n42594 45860\n15150 36739\n30815 36771\n14040 42310\n1325 45758\n46143 47504\n694 31561\n3474 28517\n1278 18939\n31938 35165\n26094 39898\n3786 48566\n2567 41850\n20249 43767\n24518 48537\n7139 43911\n13452 16352\n16593 45125\n5786 45158\n13949 27444\n13716 42766\n4721 47817\n12316 34507\n10966 41771\n20469 46797\n17513 44650\n16086 35703\n20679 38055\n13882 29517\n9238 30818\n26104 28127\n38355 43475\n6418 14091\n9404 39586\n17200 37414\n28935 40134\n681 24538\n46601 46688\n8769 29623\n16327 46485\n933 41307\n42674 46088\n5545 44267\n9521 21019\n8268 15797\n420 19816\n12810 35374\n10918 17532\n12961 20529\n5731 46478\n4085 17118\n6075 24701\n604 13954\n17304 48321\n4888 33929\n22441 44598\n9293 28435\n20575 24055\n18683 44124\n5176 6991\n11642 32154\n9540 47662\n20044 42038\n26130 48122\n15319 18848\n33928 39587\n32934 37830\n15048 47963\n1309 48420\n10416 16459\n1595 48234\n3649 39173\n6028 38217\n19633 43475\n39601 41343\n5298 31010\n5074 39746\n3724 9411\n19885 36279\n8482 26647\n17341 39606\n2541 19540\n27697 31842\n20520 43919\n28973 47968\n30463 37989\n15884 31073\n22740 22826\n14604 32505\n41668 47237\n29488 32252\n486 11137\n9032 38724\n44163 47890\n1529 15867\n10138 19926\n14963 34990\n14353 24966\n19131 35556\n17555 48300\n20442 39287\n6130 23033\n8088 14158\n2436 38914\n6545 6885\n8593 24769\n9484 24585\n1720 2681\n8680 37002\n23804 28484\n21290 35537\n8166 35784\n20200 20668\n30364 44844\n36840 38296\n28447 37843\n9016 25589\n11582 22828\n12223 21270\n34819 45764\n28384 34520\n24140 29539\n6722 25405\n44844 47199\n6959 11519\n23951 46200\n30124 46653\n8265 22403\n10924 32892\n13648 25334\n35070 35705\n10790 33859\n23960 42429\n15207 42183\n8016 24047\n11026 28097\n2548 35180\n34151 36372\n19091 40592\n34763 44663\n3997 28972\n19511 22945\n24108 41252\n28833 36165\n5121 30626\n348 42260\n4236 23446\n9404 28956\n12038 14434\n29109 39732\n19203 19245\n6176 47645\n13281 42310\n18113 44447\n16503 22858\n36237 39837\n8132 46786\n15158 47432\n5960 32440\n4997 23538\n4254 33790\n27842 29438\n1511 34642\n10176 21485\n18183 30089\n6229 7142\n1072 25560\n11435 18206\n3903 10689\n7 13850\n38475 40053\n25350 39364\n3001 15409\n94 4681\n26192 47053\n23922 48583\n19886 38444\n16983 19850\n31281 41782\n24048 36543\n31805 35251\n13226 17456\n16218 29664\n31936 44837\n33657 37950\n32113 48060\n27056 40190\n12641 40991\n5571 22428\n19498 35305\n3148 4695\n8105 31442\n3316 17933\n8712 13844\n30686 39364\n1469 29184\n35140 36531\n46887 47194\n10856 33466\n4905 41529\n9629 19939\n15248 23577\n24310 40230\n8173 17801\n30952 34151\n7598 29492\n45225 46211\n19147 36355\n11514 37412\n19703 48416\n221 12209\n10922 40896\n35009 39575\n9767 10642\n13857 47019\n24212 24952\n2624 14014\n21083 43809\n4301 35062\n25336 34156\n35009 48162\n23174 30482\n1233 16328\n11293 28636\n8124 36939\n2719 3639\n10282 39832\n18092 48481\n8945 35200\n11476 48594\n27948 33666\n30389 40595\n591 42784\n15652 22011\n1750 30896\n12553 12971\n10600 22251\n26708 34002\n35126 42178\n20604 40696\n797 40432\n18707 47297\n17146 18606\n6577 41472\n32555 41701\n15587 19289\n27953 35915\n15972 28752\n13831 35583\n15570 33655\n6648 31080\n37150 48537\n32873 42053\n4952 32637\n1934 18077\n16614 32392\n31216 42016\n12069 39998\n42482 44732\n13305 44367\n3018 27072\n26335 32008\n5094 12561\n4746 29959\n24177 42726\n10176 37218\n16099 47924\n30674 48478\n16718 33717\n2163 12965\n88 22797\n1185 24567\n17979 34629\n26154 30636\n20420 40044\n19679 29186\n46128 48435\n17690 18705\n9554 37360\n25314 40307\n11058 44613\n36912 44916\n19817 40593\n26666 48000\n1021 41260\n2161 24594\n14745 46729\n10748 25548\n10983 29569\n6757 25529\n28719 42561\n21639 32397\n32010 41566\n788 28253\n4555 25323\n9769 11405\n6390 30426\n15928 28275\n3395 8829\n1123 18237\n27074 39927\n27982 38888\n28404 40055\n27975 40644\n6544 14651\n29892 46000\n8326 14848\n10084 14684\n21592 31294\n28999 42806\n35403 37901\n6488 23760\n17267 36927\n40419 47007\n18875 24617\n18493 41561\n2336 2564\n42163 44657\n29249 34273\n29560 42622\n27199 30075\n19658 27752\n7235 18224\n12367 15964\n1475 41666\n10415 25540\n12165 41141\n6188 19380\n14141 40910\n13034 27790\n15904 38251\n21711 23269\n3533 30025\n17657 48103\n13016 16264\n1159 16271\n39042 42839\n18189 33740\n20440 36355\n25744 44206\n4905 34859\n11090 16701\n9913 29358\n3310 30613\n33980 46955\n19202 44513\n1446 13873\n455 19709\n19416 23422\n20626 26049\n18973 27995\n23428 37174\n12870 46208\n7081 22305\n9529 30993\n22288 41713\n4615 11842\n4937 39597\n20989 26499\n11103 32766\n16722 37328\n1739 25014\n1523 15845\n26423 39627\n229 41954\n32172 35759\n8366 21179\n26242 35722\n8089 28246\n11716 29801\n20589 28807\n2028 21929\n26422 27411\n6949 19459\n1263 7980\n2256 5062\n23591 41039\n4970 44266\n9789 12171\n4183 19114\n10608 35194\n43858 47087\n23877 36627\n21321 28836\n1407 22515\n12 11222\n14176 22593\n23452 41037\n4371 45483\n14967 45899\n9123 14777\n11632 31193\n1233 2399\n16119 16884\n11114 41141\n12318 16348\n16069 25521\n25597 29741\n26872 45635\n16328 30235\n20403 42280\n44373 47852\n20866 43484\n12033 28557\n14188 38335\n22158 44750\n22903 42509\n31805 48332\n26519 27772\n36268 41091\n6369 33607\n23167 30161\n27419 45238\n25861 34447\n18785 23973\n765 36117\n26302 30489\n24250 44832\n26326 48087\n18864 43114\n1559 17999\n4606 12660\n12059 14328\n1533 40995\n13127 16149\n14172 48421\n23471 38000\n20606 31137\n41882 43898\n18438 33926\n30131 31701\n25300 33666\n1706 44284\n33631 36694\n23087 29472\n8031 11017\n34538 37696\n23784 37561\n16432 39102\n14642 21127\n18199 36560\n43622 46624\n8099 42041\n10704 46959\n27285 48357\n2636 21620\n23604 30865\n29514 47471\n14671 27013\n39854 42376\n27104 48311\n7958 14283\n35639 44299\n43070 45080\n14741 39731\n6243 20471\n38214 41848\n3867 42512\n16155 28942\n9995 15479\n26468 32408\n3071 29383\n15986 19467\n27633 31623\n14398 41333\n29001 48640\n2340 14287\n9540 11022\n25729 44951\n2211 4836\n16807 20003\n27320 37119\n24517 40093\n5072 37241\n2261 10573\n2641 20897\n20100 41567\n20431 45591\n12250 32586\n10012 46077\n15846 32912\n27541 29270\n17569 33215\n5577 31291\n14084 36004\n13219 47603\n19831 24192\n26345 29590\n17267 41470\n3625 6411\n9373 35558\n14866 19193\n4712 5512\n32332 32727\n1269 41832\n24192 25171\n8559 11303\n15354 17611\n16092 47358\n32787 47624\n345 24738\n13456 17013\n504 27898\n6589 45964\n32211 35438\n12754 46735\n9817 31002\n1320 46143\n24806 26368\n10917 47254\n19046 38247\n5142 24925\n15389 27921\n22569 32338\n38400 45804\n1287 6215\n27077 30481\n20452 43673\n4797 46962\n16452 18424\n12441 41647\n5880 11116\n30893 37410\n10508 30884\n11581 29657\n4954 24528\n7515 48414\n6342 32533\n15103 43332\n15753 42815\n23620 35513\n23393 42624\n7822 32210\n7439 23838\n32142 46108\n6496 29312\n29977 43744\n1143 21688\n18142 26769\n19881 43548\n19984 42720\n1978 7713\n1122 28622\n11665 46933\n745 23185\n7865 37207\n20091 44905\n13403 44238\n5940 27925\n14336 28241\n3064 14707\n228 13848\n10045 29646\n13075 40746\n515 8794\n29880 43527\n12928 13693\n9264 19743\n2370 18168\n3112 13137\n17095 22934\n26589 48555\n33159 39421\n31545 34378\n19952 23745\n38692 42201\n184 8316\n20696 35582\n6347 29610\n14486 46350\n4279 39149\n7853 43624\n3092 25130\n38557 39883\n14664 44004\n33194 36216\n40792 47736\n31714 41113\n9497 39590\n21741 42720\n16388 17449\n16654 20743\n12927 19417\n16492 18725\n23066 35036\n8234 12453\n2150 2866\n5670 41677\n21588 46934\n33523 39628\n5746 43847\n2597 21447\n11402 30582\n42398 45972\n21230 25200\n6252 29162\n12279 15286\n4496 48286\n27579 43948\n13713 47470\n35424 43339\n8953 38971\n23750 24132\n20643 44939\n27012 45814\n6649 20956\n6936 26821\n6797 14661\n14902 40688\n13635 35567\n11862 24537\n11338 18186\n5503 46538\n19555 28822\n10109 25465\n12329 38263\n25785 38428\n27716 41011\n43633 45485\n39916 44313\n8394 30162\n17658 29717\n18764 33959\n501 37855\n19083 21143\n17514 39135\n10296 22078\n3936 46331\n4158 36490\n331 2778\n22591 36077\n3179 6956\n6525 17466\n19771 45339\n20869 24509\n205 47455\n7094 31491\n32710 45250\n25704 46352\n19465 20259\n19496 32102\n6013 7447\n11685 46272\n11446 46640\n28864 37281\n6289 32763\n3063 35364\n29874 41963\n17265 29043\n4096 20651\n9918 14344\n31455 32172\n7829 8312\n19681 44882\n15344 36841\n1907 25518\n7692 45201\n22522 30229\n18051 43406\n30812 35487\n27658 36999\n20012 47957\n16639 25966\n19827 25722\n7049 37184\n1517 16584\n3063 31888\n21541 21893\n11600 18407\n20593 33613\n13986 30119\n27632 30122\n31066 41192\n6899 26905\n2511 4275\n5298 40452\n6189 20210\n388 12715\n5217 28272\n11448 17866\n11634 30102\n18576 27143\n5523 46019\n28016 43562\n9708 43863\n21370 48421\n2564 36658\n22210 37740\n33947 46377\n161 27593\n9187 9252\n4065 27772\n32962 38571\n5532 37531\n4846 7368\n36321 44306\n14605 15858\n349 35252\n32042 33347\n23966 38233\n20337 46835\n24380 35506\n7100 15009\n36937 40164\n17378 22626\n21228 28678\n6060 33792\n24780 39336\n5493 36911\n40385 41170\n20001 25939\n30087 35687\n5360 10898\n42 5362\n14618 20958\n4127 15359\n16744 17399\n466 7758\n32730 37206\n41112 47838\n4451 12829\n8815 16587\n12067 23452\n23015 43386\n31794 39401\n10422 30768\n19366 26368\n336 4646\n9590 11786\n37056 45486\n14933 30684\n38037 43781\n5280 30738\n15040 36597\n3789 23573\n20286 36838\n8468 26314\n36083 38026\n37701 40801\n872 32527\n27978 39861\n30341 44371\n2181 27369\n33192 36076\n4870 30113\n6903 46862\n38776 43819\n10076 17887\n5151 20806\n22497 43426\n2183 9173\n3517 25753\n8931 22521\n1520 40593\n27467 34221\n16414 26254\n4566 25094\n16 5507\n21944 41796\n26777 27837\n16387 19921\n20228 37801\n6422 21303\n7949 43149\n1924 39684\n11079 11662\n25616 44843\n37552 46930\n12363 26760\n9161 43823\n3374 31739\n13417 37074\n17251 48621\n22418 23039\n2160 43558\n24188 48581\n6340 8046\n21580 26395\n35891 38664\n33246 46542\n10248 45515\n42803 48153\n9992 30899\n14451 48595\n28519 37983\n32672 44158\n4936 19082\n21742 40324\n17081 46365\n10591 23212\n35178 47895\n38953 39105\n12635 35247\n35592 39294\n377 15844\n1434 45271\n19308 36154\n30513 33906\n10217 40366\n21532 39156\n2413 31482\n17573 43154\n26053 42432\n30293 42147\n20076 46761\n9787 44816\n12410 36863\n7308 9595\n38627 46841\n20377 33111\n22532 35207\n14414 17317\n20172 38639\n25969 39206\n6996 30918\n9171 34675\n7887 23475\n20098 41742\n30587 47293\n10852 27934\n27836 47785\n6682 32183\n429 31898\n16489 39085\n291 46341\n838 18907\n19401 46957\n10487 22982\n26488 48255\n5900 10064\n12176 25575\n10692 25814\n8620 26606\n10139 47948\n10156 26380\n20544 30244\n25934 29164\n16053 41880\n7629 12920\n14518 18681\n6791 43556\n16495 48006\n33747 35788\n6597 20680\n6112 31774\n3235 46839\n6131 21901\n32153 47889\n13027 20042\n19567 39802\n26765 33762\n16479 32361\n9618 34991\n20317 32897\n20268 39517\n10893 32303\n6757 7587\n3580 44381\n11621 21608\n1394 39863\n3589 8600\n28644 28803\n6219 6562\n150 20783\n374 2147\n18488 29400\n11637 33752\n9420 11027\n14912 15901\n10767 10988\n10124 44884\n21191 41558\n17623 37825\n21964 27569\n8683 42754\n7362 43634\n27672 29952\n529 41431\n6153 47344\n4412 10540\n14251 27125\n22639 43576\n10861 42685\n11092 13299\n18638 23837\n3673 16223\n12004 31623\n38752 38971\n2694 36012\n8205 36907\n14365 40857\n21010 26570\n18393 30541\n28066 38054\n26124 47198\n10848 25231\n8694 24113\n11686 24626\n11183 18651\n5151 37825\n11067 37440\n31858 35258\n20983 40289\n10971 15424\n12705 26902\n19995 28468\n6924 17882\n6721 36966\n1346 39492\n8352 38478\n10207 25971\n10223 21051\n5561 9894\n5523 11656\n41841 46533\n18046 18082\n7907 30026\n12804 43328\n2555 29849\n23340 27815\n5524 48318\n13382 28756\n25293 28917\n16102 30849\n35665 40594\n2602 19294\n27257 38029\n10216 16161\n19495 42981\n14449 30866\n12823 30734\n1510 26441\n1221 10883\n27367 42225\n4087 10049\n5088 41335\n26551 35315\n23759 24703\n4537 37552\n8272 9633\n13878 20489\n32589 47625\n3075 42670\n25834 40188\n7502 32371\n7009 44407\n15344 45835\n9677 37289\n10107 40932\n15858 41229\n23133 23481\n13912 21601\n1388 4527\n5817 12179\n9105 11605\n4042 15227\n3793 12741\n29301 31967\n30043 38606\n9135 12569\n22542 23486\n20212 37677\n2353 35709\n22376 32267\n4215 4810\n27088 42603\n16260 35272\n35446 38324\n12467 16007\n10021 40752\n15910 34430\n13344 27642\n6059 23973\n23561 38994\n3877 36637\n24838 36038\n23292 36143\n22202 43723\n13653 38144\n3172 48007\n8290 30586\n2250 36048\n3955 32518\n646 12314\n29701 33584\n32718 39759\n642 3582\n4693 27398\n17720 36188\n25764 34739\n13518 15144\n769 48128\n11329 29366\n10644 36997\n29732 36176\n3503 22260\n1223 26661\n26276 29591\n16701 36290\n37504 46183\n11996 34810\n1170 1481\n5471 11105\n15994 41992\n24937 33272\n14257 21049\n11993 47860\n19143 35424\n1295 5861\n6178 10029\n4682 6781\n15117 22313\n32961 45700\n16776 30023\n3093 25331\n44573 48351\n26505 48125\n32679 33516\n18803 43504\n41541 42647\n34326 36750\n13188 45548\n19379 26221\n31370 45280\n2877 21996\n17790 46904\n18002 47859\n18151 42813\n24983 35133\n22266 43852\n11709 31560\n26749 37268\n29136 43553\n31084 48111\n38404 38718\n996 3340\n3002 19390\n5133 42895\n14663 46451\n14980 40220\n12259 34318\n1599 41465\n8193 28367\n19108 48455\n3410 34607\n3272 38279\n39450 48622\n7005 27838\n3033 19847\n26571 36013\n11140 45979\n14093 28630\n1642 10415\n2056 4370\n19856 24954\n13766 35024\n18313 46470\n1812 35885\n6503 42932\n6763 26526\n4538 13916\n7394 38805\n24576 30792\n12720 37137\n28554 47667\n1721 13998\n15152 46101\n63 15901\n21716 23989\n28649 46106\n16754 41939\n29507 40981\n37111 39300\n8606 30719\n23987 48101\n2569 33919\n13069 17728\n17749 48088\n22706 45836\n31 36403\n3512 25903\n5411 39423\n28745 32753\n20690 39167\n38075 43432\n6488 34581\n8289 45401\n25141 31991\n13001 48650\n8644 13760\n8158 8549\n2115 15672\n9419 32214\n27241 46272\n34465 39373\n18955 34067\n8857 38252\n23936 47170\n46595 47881\n38854 39780\n5531 20495\n11907 15721\n1272 43502\n2594 34842\n41985 44461\n4165 33272\n6472 41906\n28950 43475\n7737 23790\n32644 47806\n6227 21471\n26092 46933\n26010 44300\n31281 43148\n35588 43942\n2466 31929\n5371 32381\n14860 36226\n1764 34322\n24866 47041\n5297 14089\n16564 35857\n7192 22718\n29043 32960\n17656 30148\n10319 14793\n22824 28684\n28457 35745\n10718 27859\n243 12624\n5353 20165\n26886 41746\n3657 30786\n12762 24661\n12693 30307\n15888 28873\n12462 16520\n17436 30243\n40900 46781\n5575 33053\n4120 38597\n25307 39128\n11237 17694\n25321 45594\n8891 14582\n32498 44892\n22950 44911\n7794 46449\n7082 10521\n22064 24648\n9294 9609\n23592 25084\n6604 30478\n25566 37471\n27024 35852\n9043 28152\n12448 45281\n28001 35546\n8052 44214\n4960 45062\n29716 38980\n8429 33192\n25391 48391\n5193 9423\n2045 30195\n30332 45947\n2064 28143\n3691 28428\n32880 42019\n595 41309\n32017 42465\n3735 39160\n24744 28507\n13248 39673\n837 9008\n11209 47338\n25631 29107\n13503 17487\n30597 30926\n544 37623\n18914 44181\n3956 23349\n16227 28474\n14724 47846\n22479 27438\n19694 41446\n13319 27888\n14093 16035\n19458 38896\n15080 21046\n1007 44936\n1103 17345\n952 37724\n17952 32257\n42206 43446\n12401 26638\n4535 39326\n17724 26399\n3246 39246\n28520 47577\n33681 35993\n18845 35422\n2813 45114\n26120 30732\n2060 24008\n5390 7176\n17983 38016\n6527 45209\n20447 37058\n4178 33290\n5400 42605\n2815 24283\n1858 7400\n6394 15183\n7537 17266\n13279 33698\n1685 13201\n4492 23567\n10942 45448\n6446 28394\n24790 31657\n20173 40718\n4771 6305\n29715 37294\n33857 44163\n8615 45373\n6547 24131\n11559 24684\n10615 25050\n20212 41374\n17640 42575\n9965 23306\n26462 44670\n2609 4071\n19465 30415\n3029 13059\n38018 44818\n31185 40725\n37133 38556\n6006 12901\n29606 44103\n15735 39967\n2315 39096\n4679 18956\n13437 26814\n8327 26043\n21193 46979\n29440 32074\n10348 45688\n26120 34103\n7827 8498\n6392 28135\n16223 20748\n12551 15761\n14933 25849\n2260 31941\n14292 23329\n14627 18981\n29761 39284\n18470 27292\n31991 39392\n8034 33650\n16147 42402\n22613 33150\n8598 38320\n25696 46638\n43000 45904\n11793 40685\n22187 27520\n24451 28685\n3723 12558\n607 37977\n21853 31330\n10246 47378\n31660 46175\n24624 26305\n16597 31245\n26877 33987\n23745 32641\n5984 6425\n5758 16645\n4680 34863\n4314 25643\n8488 22255\n37071 45811\n3143 46091\n21159 41493\n31401 48301\n25602 41311\n20098 20989\n18112 42341\n1537 24158\n19091 33338\n7776 24705\n14649 34788\n3968 30164\n15906 20156\n17377 43407\n12291 41060\n1387 34993\n22527 41581\n2673 11626\n22218 36715\n1083 12141\n13665 38699\n10861 41839\n9991 19838\n11055 35015\n16053 30835\n4270 16050\n10098 42408\n1884 25228\n17350 21989\n4295 20370\n23166 36099\n17983 20831\n5908 23537\n35327 36944\n13197 15835\n16799 25817\n33413 36338\n19300 30764\n27637 36189\n8745 45123\n16281 21620\n6935 10178\n13860 22166\n3937 46902\n14470 37289\n18331 23482\n29819 35967\n18938 48670\n16963 37611\n2391 6573\n31215 35594\n44241 45530\n22917 29457\n12814 32402\n8270 33553\n336 28142\n19568 32877\n1400 38731\n22155 36356\n18598 33617\n36809 37340\n4388 42118\n41376 47162\n37155 39950\n1434 42181\n11464 48247\n6185 16948\n35168 41351\n31790 39588\n38721 47856\n3339 3717\n23956 26439\n12028 23566\n7336 41555\n8073 27622\n6932 23675\n7404 42645\n15106 32800\n4533 44714\n30480 31451\n10323 15767\n16195 45259\n35418 39908\n14607 14894\n2315 4045\n39134 43091\n7767 29994\n3467 24919\n42274 44236\n35275 42863\n27304 40194\n14712 29501\n2186 44946\n5778 45249\n29930 38684\n21852 40095\n9252 19007\n32952 42825\n22267 33542\n13946 30306\n17517 31295\n17593 39443\n867 10684\n15821 47940\n2833 28559\n1673 24974\n13035 45525\n38988 39133\n21102 23991\n5054 32427\n41549 41978\n10787 47732\n919 10960\n40306 46180\n36479 42136\n7234 16034\n17588 19295\n2342 23693\n43206 47838\n22218 39658\n34198 45748\n584 30392\n90 42647\n38527 38935\n36505 41550\n10006 40939\n894 3695\n6986 17626\n3479 9742\n3 25865\n43275 45420\n12400 21331\n7200 42578\n6817 24605\n6776 9120\n7917 41541\n38907 47042\n29244 43328\n43830 47327\n24499 45702\n11201 26239\n3300 18730\n13926 43107\n2295 39449\n17311 48411\n27898 41403\n3204 38005\n6957 45727\n2008 19473\n15937 31740\n34860 46875\n31165 35618\n11840 15333\n20023 38600\n11635 28082\n6869 26691\n12987 36822\n31243 32457\n15139 41009\n29543 34716\n8734 40829\n3115 46170\n24056 37834\n13160 20519\n7880 25235\n23742 44986\n36154 47143\n10077 39500\n435 39952\n27549 32359\n5592 42901\n34712 34918\n18429 38933\n3919 15693\n9143 16289\n6131 48330\n492 5132\n15928 17946\n26679 29849\n31244 47058\n9172 19954\n12302 32707\n14420 43297\n28745 43207\n11805 44488\n28142 43587\n35952 47133\n9762 37703\n25530 26035\n29198 41379\n6798 43647\n12434 20638\n16112 20903\n10225 44757\n26303 28567\n5387 46301\n17171 33920\n15862 24328\n19660 25776\n3199 21299\n29609 44072\n1736 25763\n33689 39022\n39673 48121\n8072 41714\n158 37324\n3805 21528\n37891 41940\n15032 41961\n24292 45935\n3300 34555\n226 15915\n26479 47854\n28781 30723\n242 23066\n30719 32374\n29352 32740\n232 8396\n14964 29548\n15119 42012\n12120 45880\n23665 34681\n26765 39596\n610 48285\n5171 12853\n1296 3809\n6596 7207\n45599 46717\n2288 33546\n4654 28873\n1230 28213\n4435 47190\n19777 20198\n31334 46280\n13329 41117\n9852 29004\n7576 12825\n1881 11510\n6286 27408\n23564 40347\n19421 27873\n35130 37281\n3625 10237\n5864 11038\n6152 9747\n3399 39616\n37537 39703\n7626 46138\n9017 29346\n1233 39599\n13128 19314\n13760 16153\n16843 39046\n12577 40419\n36223 46448\n18481 31039\n6194 25309\n24764 38100\n8306 35959\n286 30701\n3934 19574\n16140 26569\n15763 36877\n35354 35426\n9812 18726\n5199 7266\n28538 36305\n27801 48307\n16685 30317\n23723 34933\n37591 46371\n17800 36545\n22051 33719\n12158 31697\n8582 15174\n7476 26053\n12412 30097\n16766 21400\n398 16131\n14713 34415\n8076 40305\n3744 40929\n5462 20052\n14448 29292\n31016 45820\n14662 29923\n14321 47057\n18082 41366\n14542 46545\n1191 38012\n11214 29623\n32725 38928\n19866 30062\n10610 32885\n21168 46213\n14037 25876\n6343 9742\n24116 47124\n13793 38881\n8879 44315\n695 20917\n10086 30152\n8919 16455\n25074 45828\n11438 13070\n16396 21622\n16469 22378\n30121 45035\n10375 48197\n21917 43919\n6064 29057\n4521 20639\n5015 30045\n24557 39102\n34710 41725\n23617 25789\n1851 31301\n45071 45842\n9137 37168\n25722 40253\n11875 45113\n21268 27622\n23999 28663\n5033 44348\n17886 44044\n30425 32450\n8245 11062\n39978 46650\n2675 9362\n32232 46382\n3265 27794\n13086 30705\n13502 32824\n26432 46140\n3390 31825\n11307 37898\n41897 47889\n11316 45139\n7158 11928\n7790 32612\n25384 34473\n2846 38587\n13877 46218\n19149 38432\n76 25839\n21633 30369\n25290 25465\n17232 26738\n16959 44240\n14250 30609\n304 11831\n6382 12735\n22856 24457\n1746 9298\n33001 48608\n9149 28713\n8297 34873\n644 32230\n3583 44979\n3880 43130\n19819 34123\n741 24650\n18537 19736\n15842 44386\n930 42651\n19061 29095\n22555 25836\n32280 46272\n24339 47229\n1607 11848\n2053 48093\n16754 35171\n42959 46482\n515 15897\n14789 48160\n19502 37988\n4443 8823\n42785 44170\n22874 45717\n13355 23075\n1229 24399\n21320 47155\n42460 47296\n612 25402\n6033 36581\n7433 33932\n5266 27181\n21346 30226\n14154 17037\n18909 38198\n19615 30801\n31721 43715\n18307 30398\n10424 41726\n31908 45677\n17843 39486\n7276 44642\n9493 32483\n8744 17649\n35711 41872\n40964 45043\n9623 45993\n2254 41521\n129 36524\n26193 35840\n25524 30175\n12698 39830\n5593 15537\n42845 44674\n9908 16611\n1396 7109\n17906 25407\n31515 35704\n22342 34026\n14261 45811\n6145 35097\n39809 43467\n44612 44665\n3585 23428\n10981 41365\n10283 16087\n14528 28476\n2633 14292\n40692 41177\n7679 14962\n30014 34777\n27811 32055\n35984 47518\n5838 28268\n10317 22876\n4225 48098\n33172 41137\n698 43426\n19424 35747\n3337 30864\n7290 24112\n15098 44992\n18830 24685\n2958 30386\n3312 41785\n10880 36140\n15931 46242\n12431 31175\n6833 13212\n433 46531\n24657 39426\n27830 33485\n796 47157\n5847 7082\n9430 12443\n969 21602\n1486 10520\n27059 41428\n30268 39912\n3380 35059\n20642 30731\n39169 43062\n27966 34152\n9768 38474\n26677 36655\n23416 35375\n4374 40922\n9136 34615\n27785 46393\n44952 48114\n4162 23318\n1292 7015\n18442 26147\n14706 17194\n2014 35381\n19144 20009\n19717 32859\n2684 41345\n47573 47904\n3301 48285\n23705 41418\n18820 29792\n31093 42737\n15402 16437\n17455 25702\n28056 35238\n9321 47073\n39664 43520\n6981 18748\n13002 34521\n35502 37218\n23949 45884\n9862 40367\n15608 43057\n26730 38067\n26395 35962\n37552 40972\n11641 46252\n6715 33268\n31297 32552\n13888 22830\n16694 36029\n5080 43925\n7163 40997\n6761 21548\n13340 17028\n9824 26410\n4307 36840\n31660 44817\n15098 27473\n16042 25536\n23585 24183\n4417 21546\n36170 46914\n19302 22585\n25209 28128\n30340 41154\n3832 9436\n1568 44865\n24386 27877\n11044 39253\n39338 40630\n10719 16369\n5695 21751\n28116 34955\n23222 43184\n7132 44057\n25200 36656\n6067 8244\n37375 41575\n19990 40198\n16885 35010\n37317 42192\n5437 25172\n34299 42010\n1444 22161\n4039 18466\n6387 46349\n12680 18559\n9457 41047\n3469 12758\n40368 42695\n22299 42771\n30997 35234\n18483 24169\n29809 42218\n7517 43491\n18934 45720\n17928 32107\n10449 30907\n37362 46908\n15951 35391\n30911 45975\n19927 47881\n23048 32829\n1308 34076\n1601 45413\n5900 20728\n16859 31079\n29591 34780\n10118 31269\n24064 28795\n13062 40264\n24488 36929\n9131 32861\n11213 43612\n20445 21666\n4467 15782\n7317 42646\n2985 18696\n30667 39433\n11925 17674\n4367 45967\n8023 44295\n7304 7688\n18052 42862\n9529 29995\n30986 39446\n20 26222\n3467 28635\n30726 33316\n33684 43074\n27437 28869\n1763 23966\n15158 17630\n2203 46360\n23158 28358\n1441 17554\n25061 43479\n6724 32299\n12414 16810\n19272 30470\n7639 24842\n24420 30393\n7818 31686\n36187 45667\n26553 48289\n4691 42198\n159 7981\n5593 16641\n16330 16634\n11660 12635\n24588 47422\n15352 39470\n11585 37814\n39668 48427\n8220 38205\n35499 47665\n1357 19130\n35105 36487\n6797 14364\n9865 14151\n32764 42181\n32558 44244\n9942 27899\n21818 24902\n22295 42436\n2198 19470\n11142 42940\n12908 26026\n4531 13533\n3227 22095\n38115 48405\n6935 25169\n1570 16509\n35704 48207\n44387 45145\n7131 23339\n855 30735\n42585 48368\n4418 7502\n36927 39860\n9171 15837\n16064 17387\n12951 35553\n10941 30268\n3195 38842\n15174 17323\n8740 39888\n11517 40337\n13267 34677\n13863 15596\n5538 22558\n26065 37201\n29379 46221\n34262 39407\n38631 47875\n8742 23445\n13322 25577\n3741 18697\n23210 25127\n29247 46972\n40280 45762\n1051 41780\n19390 33628\n38643 40808\n42397 45508\n11358 35096\n23090 45460\n11578 48630\n21410 32740\n19348 33055\n1176 28658\n13504 36544\n28443 36776\n884 17402\n12058 32103\n13261 34375\n791 20907\n26770 34877\n4298 6469\n19578 44988\n17824 23237\n17416 25938\n5844 34420\n511 34390\n5420 12093\n18152 42671\n13439 47359\n3558 4046\n33779 41672\n6035 39231\n32613 33380\n25823 30434\n7813 39323\n16470 29115\n24326 47292\n16183 33499\n11382 19489\n27400 35811\n29574 31328\n12303 39758\n22604 44018\n13065 23589\n16134 32854\n509 1906\n23597 42883\n3514 35020\n1804 43308\n1696 34219\n28317 36583\n30237 32091\n29765 35725\n7921 34707\n609 10545\n10596 12978\n4341 41802\n21909 31450\n16038 43529\n3429 3479\n14112 14680\n2403 39523\n17873 39616\n4597 22292\n22964 41091\n4206 41964\n45136 45824\n3601 8337\n36977 38017\n22801 23452\n16939 41504\n831 18945\n18638 26766\n27577 34130\n25796 30882\n15535 36225\n1592 15153\n2838 29687\n28331 43440\n27353 38493\n8023 36951\n13844 36807\n3609 12469\n2574 27771\n13675 15986\n27992 33819\n29742 38376\n19403 24876\n29053 41371\n9377 31774\n1512 47962\n1984 44607\n18236 47316\n32607 32948\n42453 46891\n35686 36143\n33337 44797\n29536 34425\n2924 27296\n14402 44174\n13530 43296\n3699 19475\n20339 39633\n25016 34629\n15531 43527\n6119 46132\n21409 34967\n247 34492\n19358 38770\n35522 40409\n88 15370\n25608 34254\n17791 48613\n7570 21668\n7141 34046\n15126 23022\n8325 9310\n37679 43309\n39 25933\n30906 36468\n22431 25852\n21204 25880\n22959 39953\n41791 43881\n16503 28480\n6795 33689\n2029 30621\n11379 36311\n2251 4129\n43227 45191\n4428 39793\n30826 34035\n5332 30929\n46140 47849\n3941 37815\n30764 33583\n15267 18307\n22865 37008\n43401 48609\n8307 9947\n1933 29568\n985 42532\n14104 32035\n7489 16620\n26375 28035\n17598 34569\n25849 28033\n14673 20983\n12519 40481\n11640 20397\n86 6812\n7774 27245\n22176 31712\n20538 23089\n16550 41791\n30084 31291\n597 48127\n8567 16709\n27113 28362\n24456 42133\n16016 21160\n13515 35694\n37849 44064\n4944 10528\n16296 44623\n14501 47048\n46455 46623\n26677 28800\n19430 39715\n7652 42250\n4993 14876\n25094 33401\n18589 24990\n9359 28753\n11931 37387\n15648 30715\n10004 15148\n5500 45978\n4319 15690\n7629 44968\n39301 45757\n3892 30002\n9284 34319\n9104 16318\n6334 19054\n18166 34513\n28145 39177\n18706 44096\n21905 32887\n38789 41217\n4052 18090\n16064 28800\n8257 48535\n9425 40968\n29619 47503\n2592 17698\n6483 21562\n8869 46779\n24200 42557\n6010 29004\n4096 30974\n20866 47513\n11331 41423\n10746 38162\n8290 40656\n8207 15579\n27276 38774\n40306 43201\n8270 32301\n31993 33543\n28010 30638\n3804 48569\n8469 43678\n17318 29551\n39752 41281\n3549 13236\n27102 30057\n36584 44299\n2116 11978\n10345 27104\n398 17177\n1987 29409\n4329 12528\n9751 47673\n17691 42381\n23661 27527\n5694 36692\n10135 18649\n13366 47657\n41348 45440\n22973 39913\n1901 35436\n343 30936\n15654 40942\n34764 39263\n35279 39426\n24536 29404\n21738 47802\n19010 39523\n39087 42139\n7318 35361\n7665 39953\n25474 47164\n2492 46486\n12131 38408\n21966 23555\n11672 34838\n23311 32107\n8180 13517\n21955 24707\n9296 19348\n35839 43573\n21767 30604\n17811 17866\n11451 36463\n2572 36355\n14893 37504\n24371 36503\n21449 32707\n3621 43097\n19465 31921\n16262 36578\n17335 42166\n47250 47983\n12513 28749\n9742 27142\n17621 48059\n29744 31424\n3204 19973\n11417 44921\n6782 28775\n37646 39282\n27101 38179\n1256 33549\n15269 34009\n5914 19240\n18111 31782\n3171 19626\n2986 41956\n14735 23521\n21948 27849\n27122 27361\n28347 30971\n25631 27767\n7968 23507\n21434 26200\n18514 38722\n24698 45928\n14660 22250\n27368 35787\n6135 14863\n5790 43546\n13213 34626\n2491 21984\n3717 40636\n12602 38551\n2976 42495\n5995 39130\n1361 47277\n23751 43687\n627 14207\n7887 37611\n46221 46754\n271 24352\n25232 41947\n15165 30971\n4011 8835\n9135 33343\n1621 35316\n14579 40885\n12055 43914\n31138 37019\n57 29775\n6269 39142\n34129 35512\n1582 3065\n10538 25266\n30282 48248\n9497 44590\n23506 39623\n18926 28214\n13289 18778\n18955 24421\n19487 43203\n2070 47861\n28797 33127\n20812 44045\n16597 25235\n15951 19425\n5120 35279\n10899 37384\n10753 48658\n26102 37372\n6039 32737\n5914 28345\n12538 22584\n114 4060\n3374 43158\n8725 35332\n18647 40166\n3430 10921\n43057 47907\n38005 42561\n11323 11915\n4621 31146\n24863 24902\n18657 22804\n5281 33699\n16569 44155\n30093 38718\n33997 34367\n22145 42105\n36434 47094\n7866 31411\n26575 33293\n25461 45573\n1353 41394\n32920 44509\n23169 25653\n22051 27925\n23653 31650\n12877 19368\n2591 22865\n13718 18148\n4049 6641\n922 22655\n8671 46493\n13680 38435\n28007 36447\n16939 27179\n14720 22487\n27201 41730\n9610 10745\n25378 45814\n2968 35433\n6204 42091\n13569 42905\n15928 44615\n10106 33606\n10228 23491\n24917 44668\n38621 44420\n14920 22829\n5047 22345\n25055 37338\n16897 38749\n21295 25110\n2848 12354\n2302 17540\n19525 24102\n18954 26223\n11045 45001\n33930 40527\n11293 25724\n30300 42809\n36586 42342\n13086 43355\n15919 47445\n291 41603\n1580 29556\n31313 41040\n43081 46970\n1533 24048\n1803 7353\n11763 25841\n1067 28690\n13896 22429\n23089 39034\n25902 37187\n14328 21560\n7286 30875\n15261 21737\n21510 25727\n11943 43726\n9873 36689\n45987 47630\n4646 10616\n37941 40757\n17674 32642\n16731 17886\n35367 47241\n33911 45583\n16056 33755\n26785 40610\n8484 24634\n7936 33054\n10985 41178\n46904 47785\n87 39377\n20395 26845\n23975 45480\n4082 10222\n11047 18936\n1530 27948\n10594 33948\n5051 34326\n15781 44557\n35994 45771\n21456 23747\n13215 33332\n4759 21745\n22393 36100\n8756 28373\n18039 21988\n29999 34643\n9739 35699\n38886 45474\n26460 28130\n36630 42547\n31834 44943\n41581 47622\n11225 30269\n11755 48508\n8030 25597\n2723 35065\n19501 42235\n7683 30591\n22035 27639\n6756 48230\n18860 33283\n16692 26219\n36938 38193\n19396 34343\n22297 23663\n24407 32202\n7005 46129\n35730 43418\n13072 19285\n32396 44436\n1553 32237\n29324 40688\n30048 41538\n8282 42183\n11693 46327\n23273 30142\n14801 38751\n5256 9643\n1074 42469\n11320 29268\n33961 44947\n27850 34717\n2829 34098\n7533 16062\n10265 36000\n28034 43136\n3463 19232\n9329 43535\n18466 37130\n29096 45201\n36816 37071\n22672 44779\n37287 48075\n31954 32006\n44656 46075\n17365 22780\n44037 46643\n7781 29672\n36969 43340\n8627 22918\n5733 35470\n21666 36751\n27897 42751\n10832 29728\n34489 43092\n25178 37765\n33342 45426\n25578 47783\n25074 35336\n8925 39434\n2939 42594\n2412 34198\n26849 29206\n1874 14563\n21343 42826\n4719 45009\n10751 35368\n22049 45995\n23335 43232\n8179 11564\n10556 20820\n4796 35098\n965 20666\n33489 37535\n3229 6301\n16796 40932\n15715 22177\n17577 27170\n7318 45627\n16528 27214\n12468 25135\n10594 33548\n10304 43085\n922 42796\n5676 37523\n31350 46492\n2160 18655\n24231 37889\n22193 41925\n17181 24341\n533 35137\n2870 26375\n5133 32215\n11541 28675\n16217 47771\n10851 32449\n15918 17252\n5725 32607\n8530 38227\n5607 10826\n18772 21435\n17343 48517\n35103 35270\n14616 26076\n17838 43330\n4060 32658\n1191 21051\n34391 37649\n33124 42226\n2522 20244\n19119 45583\n1864 39410\n26085 29162\n23768 28830\n4920 38636\n11819 37378\n38479 42458\n35478 38265\n15907 26109\n11493 37264\n7383 18062\n2099 24828\n4931 22731\n34459 42568\n15688 29335\n25043 39183\n8756 39109\n31541 46425\n4166 45010\n21714 27155\n8639 12843\n8916 19130\n17861 26720\n20711 37440\n7710 34359\n20900 31810\n17613 37657\n15869 19778\n14583 29645\n2100 36011\n16169 48292\n23792 39087\n24335 47647\n27561 43220\n36071 41510\n7660 25752\n15141 33366\n9116 46331\n871 24167\n4399 44137\n14231 22545\n18106 37983\n110 47022\n5099 9991\n15788 46403\n8228 34079\n1735 8133\n14334 18792\n32857 34982\n5189 22777\n565 47075\n33869 42861\n30020 39001\n14717 31273\n40562 45482\n1092 36521\n1459 10285\n28230 47395\n7895 24764\n14102 28308\n35078 37888\n3759 47759\n236 13258\n26818 28397\n18251 29505\n28041 48285\n2888 42516\n23330 24079\n563 40812\n38603 44719\n11128 31543\n26038 34413\n22506 32696\n13278 31721\n131 47616\n23655 24374\n21394 25608\n3216 40042\n4326 23683\n259 18344\n28537 42184\n7811 38201\n34496 47201\n17378 32553\n3249 25300\n1841 44613\n37157 45478\n14502 19549\n15754 22605\n23947 29083\n37957 47188\n19563 30275\n11878 25300\n10798 44229\n23818 44633\n9254 39332\n22470 34487\n15654 43795\n25696 26009\n5944 14314\n15894 33791\n11115 31579\n22562 39278\n10815 13567\n10195 25958\n35716 36447\n27485 30033\n13658 22458\n14438 41086\n1512 40359\n9714 38171\n38364 48658\n17351 19546\n23506 36199\n5358 25697\n31602 42098\n2140 9109\n810 27703\n1983 34478\n3967 9073\n27934 44709\n13374 23043\n106 22712\n31151 41398\n13636 46442\n2237 10163\n21745 41655\n1984 20864\n5604 47708\n18817 33661\n21539 23826\n12698 28806\n12382 25520\n16448 25040\n6563 9500\n20915 44075\n9448 41294\n4303 48170\n26475 38968\n411 1959\n21608 37859\n789 6228\n22102 24917\n6149 45245\n3540 44494\n31028 35208\n12841 24729\n12504 37265\n13815 14529\n45273 47797\n1134 7335\n1236 29996\n3444 30453\n8054 29734\n9484 12423\n28132 39891\n28053 33901\n15612 46740\n43290 44973\n37540 45316\n13261 42333\n35932 36265\n38061 43046\n18800 43149\n17395 31727\n42942 47468\n930 16386\n5899 45376\n42482 44448\n18025 38400\n26243 43894\n22690 30518\n17238 18919\n15560 40646\n29140 38266\n823 27792\n31952 35523\n27679 47916\n8297 11581\n13489 16060\n3219 18564\n11311 17773\n8054 36591\n2365 47165\n8572 35830\n11018 43432\n22898 29446\n39356 45146\n3430 28642\n986 41479\n16738 27185\n11374 21326\n35263 45602\n41833 44765\n5968 46258\n10158 36656\n43195 43576\n11114 25082\n23684 39272\n1674 12021\n22611 32986\n7373 9601\n39602 43606\n345 26833\n1629 6806\n29663 37348\n4218 37276\n12187 34149\n7883 42688\n7160 16245\n14741 47357\n1898 9485\n3239 18920\n10138 11598\n13575 31555\n32623 34955\n27227 28335\n23470 23881\n1468 10301\n1391 43859\n33107 44111\n9677 23833\n18052 42463\n2725 27623\n24656 42458\n20689 40388\n18428 22073\n520 8098\n39033 41583\n2318 24753\n6397 10374\n6274 15918\n25684 27965\n4160 18661\n11762 13899\n334 12135\n35652 37379\n497 1236\n31109 39876\n8569 48394\n16391 19585\n721 47561\n9849 43510\n28091 44260\n13599 13905\n7307 35676\n32483 48445\n43914 47799\n17440 24597\n1727 48134\n23795 26820\n41838 45066\n14093 39416\n13686 21763\n43851 46350\n14777 20739\n2837 33967\n6256 32384\n24846 37937\n4296 18935\n9525 18084\n21864 45707\n7736 40836\n10257 30990\n20750 20785\n2920 12755\n832 42820\n11154 35202\n40448 46801\n9664 40961\n13688 16655\n4918 48276\n7905 37371\n26576 31398\n6910 10495\n21810 47351\n27495 32879\n38067 44375\n27926 41990\n204 14575\n2540 2671\n5360 11607\n6338 20543\n28171 41181\n34110 44696\n29853 44632\n9084 33012\n2911 33685\n3937 25070\n16575 47689\n25271 36864\n10575 17245\n28148 40761\n15936 39711\n5766 27350\n4862 30270\n1101 3465\n12834 37644\n3330 22107\n913 48513\n15793 43130\n22324 37062\n7481 19411\n14033 18044\n30296 41629\n7632 13231\n25604 28014\n19846 43811\n15119 31054\n5263 25314\n6732 29545\n3965 45754\n3993 6296\n11389 48558\n16060 34194\n11085 48388\n25031 41303\n33542 33980\n5674 31237\n12764 43616\n27443 39003\n23295 41711\n3082 17964\n6446 47651\n7648 32663\n8779 43309\n17600 20100\n15514 21894\n10727 46983\n2187 38042\n9059 14625\n9813 38884\n18245 32449\n26952 34401\n15027 46992\n26731 47603\n20638 40082\n28971 32127\n44260 46344\n24180 25175\n16199 31068\n5826 16962\n36981 43336\n11927 43621\n34216 36296\n23980 30796\n406 15070\n5870 42341\n6471 19689\n20829 21131\n8900 35074\n2802 21975\n6803 38262\n21830 46971\n25760 35227\n24149 25056\n156 27472\n6714 28208\n18721 26999\n4372 23334\n2346 8746\n7429 39402\n7754 20147\n33719 35819\n44229 45771\n17184 32292\n8992 47988\n392 18165\n19907 43421\n33060 36174\n40234 47268\n5309 40991\n6250 35290\n8609 40686\n22602 39841\n35914 41015\n6963 15690\n8654 13900\n4018 35003\n14864 19369\n37571 41941\n13300 29111\n9727 28762\n31754 41856\n23214 41908\n6868 7398\n6808 44038\n25489 32846\n8879 14502\n11587 23218\n26055 41763\n13708 35316\n6976 29939\n15275 46471\n25032 46865\n12070 19112\n25631 33570\n6951 34679\n8320 29320\n22173 48016\n15584 39361\n2828 44007\n15577 19167\n8752 21151\n14930 16590\n34410 37849\n14640 19123\n7037 44725\n4896 34979\n1304 44188\n23755 47529\n35829 36988\n6709 44055\n6299 29074\n6314 26583\n7123 14349\n36640 38234\n7 32541\n26475 28984\n31552 48449\n23742 29777\n9047 37236\n31824 34517\n7940 14251\n9556 34154\n15953 25054\n3413 48313\n21144 36289\n16462 32820\n21705 30021\n24974 43256\n10469 11154\n10688 33413\n15891 27030\n3498 47604\n5109 22446\n2634 41408\n9963 11612\n15133 19083\n14488 15704\n662 30691\n14433 33623\n9766 46808\n24434 44371\n18936 45818\n36655 37244\n5151 17378\n39106 48300\n11714 42285\n38569 39273\n27478 47340\n13430 48593\n923 22547\n22964 26534\n7857 12411\n29993 47849\n35155 42736\n39885 44975\n11222 35520\n16135 22045\n21351 34648\n13978 42505\n35081 35426\n33981 37799\n608 33960\n34502 35265\n6356 18413\n27325 34083\n8018 38140\n14770 46295\n4297 39745\n5558 13619\n8958 44864\n7647 11826\n17024 29215\n18465 30591\n26027 46371\n2388 45662\n21162 27031\n4397 12878\n14705 47801\n6902 21973\n22245 39133\n39029 40088\n786 22365\n3436 47238\n7493 12835\n2058 39559\n38188 39804\n2571 40248\n44867 48180\n16205 21768\n14931 48223\n41733 44000\n24084 28367\n7078 13151\n6962 23141\n28981 31596\n518 43285\n13681 30102\n3757 33955\n2339 38998\n15438 33722\n37879 40907\n15657 32999\n31886 41542\n299 4289\n7597 27983\n4312 35252\n28307 48660\n1286 37442\n411 31641\n20144 41231\n10194 46111\n1914 47967\n6903 20613\n24390 41031\n9432 22087\n21868 41817\n29092 29890\n3798 33366\n32458 36961\n29109 43389\n23230 28924\n12160 24717\n7793 32529\n15794 32992\n7727 7853\n36548 47487\n20811 27385\n43971 46917\n19689 44020\n22202 24377\n7851 31071\n13611 47684\n22762 33224\n5373 7715\n12494 39090\n12718 15327\n26735 42040\n4423 40124\n38605 43949\n37142 43921\n4053 28336\n2062 11311\n34463 46922\n13577 26511\n21741 35301\n14836 37309\n17004 26353\n17518 38873\n438 13514\n2695 44324\n16982 45026\n36574 46518\n37578 44894\n516 6575\n6017 28246\n6634 9563\n9819 25863\n1240 1894\n944 46754\n14833 20043\n31632 43860\n7377 21906\n8986 27272\n15878 34417\n38442 48442\n27644 32966\n1704 13941\n5958 31530\n32593 37228\n5301 12208\n26388 47200\n30753 36377\n14997 45933\n11234 21742\n9644 47631\n13450 46845\n5928 19067\n6343 18640\n25874 34541\n5577 44890\n32300 38115\n19377 39189\n9257 23393\n12912 13698\n17694 31892\n24591 32586\n11735 35448\n13255 33425\n7971 47139\n7705 27079\n5423 42028\n5286 32576\n34315 47749\n16797 41512\n10888 42416\n15208 38003\n35609 45866\n8975 38126\n2416 2545\n13922 36155\n16464 41498\n32883 42647\n20089 30605\n26454 26648\n9414 19901\n13125 23663\n329 36701\n42883 48626\n2654 10421\n21207 30937\n11785 36566\n27764 29420\n43572 46827\n22968 30962\n15031 46581\n7994 13879\n12544 33862\n4832 15113\n14184 22141\n1271 32144\n19666 34496\n5401 12403\n10613 42755\n2143 9250\n4096 24349\n14852 46634\n16397 42605\n21080 26565\n14673 42965\n27467 33995\n45842 48435\n12243 13280\n14878 27161\n10646 27496\n21534 32851\n14144 19771\n19696 25670\n7559 33761\n75 42499\n13127 47250\n18156 35014\n7643 17809\n35130 37378\n9358 31717\n21051 27887\n21494 32561\n32409 44030\n15647 21696\n14886 39076\n12710 20481\n29719 39764\n23983 36796\n4885 36543\n11741 12748\n2365 14779\n16915 17008\n16459 19924\n5124 35094\n3399 47099\n26035 45684\n2098 39984\n23111 30944\n20979 33706\n13245 39516\n28069 37802\n2000 35773\n22805 47539\n10945 20948\n3828 32318\n2044 39878\n15600 32612\n239 44262\n1655 31092\n33876 43425\n18597 34997\n4285 6557\n16414 22888\n4905 42205\n14493 27593\n12629 17386\n6090 22276\n10758 47936\n973 48287\n23734 38948\n14305 39879\n1329 13493\n6268 16982\n27058 38876\n2921 5038\n18428 23023\n24226 25451\n1966 44669\n15552 17966\n34866 48617\n19573 32550\n17871 28633\n2735 20411\n29623 45334\n15516 35050\n6938 20236\n3078 26489\n37370 44644\n2799 35000\n794 23015\n11388 13101\n39240 43906\n29876 45699\n14861 23649\n240 38978\n8328 11483\n6346 16298\n16303 37561\n14265 45444\n1668 15266\n11222 11514\n8547 25852\n6150 47737\n20435 23468\n11970 17120\n8301 28062\n21244 36496\n21331 24175\n6911 22052\n16766 32503\n17152 23338\n728 13068\n5801 29968\n15677 46820\n35383 41102\n9870 48576\n36625 37666\n32425 48338\n44771 46789\n21420 39253\n21670 42595\n13536 23111\n3796 32017\n238 46693\n37947 47798\n36218 42213\n11863 24101\n858 19540\n4907 21541\n5315 16006\n24469 34323\n6769 39947\n5781 20353\n11212 27833\n12700 15600\n17618 41924\n28757 41603\n28942 29402\n17659 36726\n35269 42542\n14963 44153\n2385 16872\n36517 45166\n5642 46971\n24776 32551\n26661 35640\n8259 41772\n39151 42699\n30677 33087\n20374 21623\n24294 41858\n1746 31139\n17721 44428\n23921 28006\n17008 23239\n9844 35272\n371 3920\n17394 22657\n3502 5480\n23356 29415\n9656 27397\n14787 25988\n10459 29239\n16306 34396\n18767 35246\n36675 38660\n41203 43507\n2602 29590\n34550 47363\n24173 27454\n1925 11495\n11512 38942\n30730 44686\n6336 28657\n28007 28551\n4174 26210\n12614 35683\n33959 42238\n30296 45274\n12139 27653\n32710 42967\n9393 19881\n13807 15285\n23777 42820\n2750 7534\n12878 15638\n11612 48498\n39313 41521\n157 14786\n37160 46927\n9222 15819\n15382 26775\n25252 47437\n3035 13333\n33848 35869\n8116 24125\n46932 47402\n4349 42302\n26329 36842\n19865 44170\n5951 27925\n22541 24524\n27227 27694\n4696 42807\n32083 43909\n21770 48570\n19827 39900\n9857 35022\n698 22556\n18296 48148\n37104 47964\n12290 38881\n12907 44608\n27897 30105\n29504 44801\n9619 25919\n26739 33592\n12773 46444\n22415 42655\n32158 35389\n17457 41243\n14943 27566\n8588 48083\n47 39766\n24344 38763\n16562 29295\n38380 39724\n26112 32939\n13037 47455\n31254 47767\n10321 43799\n21597 36203\n31472 37978\n11213 28410\n23150 40711\n20358 42089\n21777 44176\n2329 10330\n19544 20272\n16951 35196\n13067 42942\n2738 35025\n35593 48535\n45217 47514\n11897 45097\n14711 46834\n12524 43639\n16664 40746\n10777 29091\n21908 29922\n127 13415\n18922 41563\n2023 21682\n9304 23673\n26154 41914\n7374 26103\n26235 37452\n30033 41875\n2624 19786\n12702 35379\n15463 23696\n7155 29554\n7261 22280\n9560 15883\n23458 34488\n1579 18266\n15563 38565\n22756 26888\n35183 41656\n7142 26045\n43491 45559\n21077 41717\n1092 25818\n17894 26831\n33094 35363\n5732 10884\n5758 29867\n15598 32969\n25089 37275\n25262 27003\n5962 41169\n16769 23601\n34117 45013\n22126 31741\n14514 35475\n12145 41759\n16709 43861\n25174 37011\n16707 20809\n33907 37329\n6380 15175\n2195 22916\n6739 46609\n10305 28533\n3342 6773\n24436 34244\n29709 32228\n2893 11392\n11367 24996\n4126 47095\n6634 43118\n6055 35226\n18392 28380\n20291 30481\n12933 34119\n3088 3647\n27818 47744\n22193 43099\n2175 38294\n29621 33385\n11341 41259\n29447 34674\n11006 21543\n8640 23284\n4570 8454\n25900 42563\n24753 27735\n24157 38217\n32744 35859\n19267 42467\n36024 45013\n17176 29486\n1266 11040\n17387 39944\n752 33040\n1121 34675\n24242 24749\n8192 22970\n7275 10538\n5688 34141\n15933 16357\n29545 41597\n8049 20115\n39671 46303\n1497 4192\n6437 28335\n30826 48514\n27392 29782\n33989 41859\n10945 25800\n5707 23591\n22223 38982\n4892 22052\n13776 24166\n17347 25839\n27810 46611\n11610 40684\n18925 36433\n7310 35302\n5763 27479\n47870 48212\n4285 18601\n8256 44201\n21593 45452\n14639 16153\n11480 24634\n33029 40330\n5115 48101\n38702 41138\n7760 35317\n5858 45159\n29551 32381\n14441 27182\n11644 28683\n11038 33512\n11325 21722\n11138 41494\n11498 14343\n2675 4983\n34279 40143\n21932 40542\n19941 32602\n18967 20681\n25944 46672\n16414 33886\n25579 38765\n188 38471\n25305 43875\n20419 44916\n565 44400\n11535 13255\n10050 15125\n8509 11554\n23950 27288\n6762 12782\n2996 10606\n34209 37584\n18499 40844\n22074 26013\n25302 39416\n9762 14497\n15926 26847\n863 36400\n6761 8676\n35512 37387\n10088 29338\n26272 42534\n6743 26719\n13581 32029\n8009 25204\n13513 48431\n392 22936\n33836 38538\n26774 38384\n7572 33556\n9891 29169\n7430 46972\n4195 6218\n2056 8287\n28925 35729\n43442 48514\n30371 35903\n7704 30195\n3213 31210\n20089 41423\n9495 11269\n33006 35482\n43911 44630\n35374 40324\n12991 37371\n39047 47908\n1925 14996\n31112 39466\n31557 36851\n34103 47406\n16546 48442\n7653 8404\n2977 40231\n22309 36383\n13906 22245\n26501 38826\n8704 22972\n28975 35706\n1273 4366\n18874 22409\n18246 40227\n5244 29690\n19814 44896\n15836 29462\n658 44195\n28160 46559\n6343 14135\n41205 48011\n10376 43405\n7243 12005\n37185 47068\n5424 9168\n20894 22444\n313 9294\n9677 39341\n17959 41655\n2850 47228\n22132 42998\n13363 29781\n19301 44689\n41556 48447\n19246 23596\n2979 4798\n26909 43193\n15778 28607\n20579 42032\n7658 39652\n39871 46841\n28868 40684\n12263 16957\n25302 46846\n10606 22939\n10778 14341\n22324 25316\n12324 20443\n22587 31580\n16916 35751\n36949 44997\n21803 43456\n38107 43799\n26617 39004\n3271 37836\n11017 38098\n8615 20788\n31059 38752\n8081 31702\n16635 39885\n14056 34414\n30914 48433\n21261 32469\n19339 32154\n1728 11724\n15045 32962\n15136 19029\n3447 18912\n10671 34482\n6923 18565\n30670 43143\n6095 39823\n7392 26275\n35940 43229\n28876 36446\n1809 3562\n19328 35656\n23450 47654\n8610 22525\n26293 31649\n6794 7271\n31114 47833\n22030 25253\n38198 44315\n4105 43293\n12014 38037\n4111 36446\n5283 19316\n25001 32979\n15628 16600\n18354 19215\n21702 24466\n27584 28372\n20532 44146\n21859 33556\n20207 30962\n13097 32627\n31320 45917\n26343 27277\n4355 39046\n8292 16942\n411 682\n30895 34020\n30418 36388\n21400 37162\n15822 19395\n16564 18976\n4589 25892\n28266 43778\n23599 28714\n3859 48662\n29417 38528\n28509 42362\n23105 31220\n856 1663\n37101 46350\n5458 41571\n11938 47062\n17103 44223\n2833 24056\n17553 27815\n3232 39329\n9932 11457\n14146 43768\n14841 20225\n23164 35382\n8764 30958\n16095 39291\n18980 35655\n44076 45776\n25489 40256\n31342 41383\n34596 40295\n40161 46099\n15693 42838\n37856 47147\n10009 19802\n11133 23171\n7965 14537\n16250 34060\n11343 21508\n28538 32983\n32385 42033\n20728 40645\n4887 19158\n2763 33841\n18713 38765\n2270 40224\n7980 12858\n19582 38806\n14025 18862\n4196 47239\n3004 18370\n39029 42181\n16557 17531\n7692 14430\n10151 30273\n20311 45304\n25018 29095\n33734 40810\n2618 4410\n20029 39593\n30530 39299\n6790 44056\n27438 34374\n14013 32765\n8219 33057\n18623 41371\n9472 32942\n21377 47811\n16830 29735\n4142 21641\n23747 31922\n21520 33783\n12652 17446\n32229 47539\n18537 46395\n18144 21102\n43589 44457\n14727 48427\n9004 30510\n12485 13020\n13974 27033\n16281 39880\n19494 34250\n18581 39585\n17310 34076\n43976 46254\n21621 34797\n14676 36843\n22454 29613\n367 6868\n13292 44912\n15080 41044\n12994 23632\n31214 44986\n134 42518\n29081 43844\n8451 22176\n11933 26293\n35201 39816\n4893 35645\n10194 26237\n31115 41908\n6985 24169\n36136 46901\n15583 24494\n9226 22647\n5233 22408\n6738 26350\n32746 41416\n22778 25593\n24795 25847\n12093 43246\n19637 40428\n44847 45817\n19665 40649\n30536 32783\n13291 47094\n32691 38852\n12127 38330\n8844 23268\n21118 48019\n11483 33909\n1369 24555\n22900 36179\n3359 47983\n7771 29907\n4030 30916\n11940 24156\n9527 40737\n10972 16036\n89 20028\n7875 26316\n21887 47321\n1542 2753\n41128 41692\n314 21361\n19388 37426\n16075 44956\n22898 44705\n15339 17375\n4955 21089\n41128 41266\n3452 31427\n21650 40028\n4322 27312\n27110 43794\n5063 25345\n9409 47968\n4751 27698\n35126 46695\n17131 39539\n12312 24581\n7488 18695\n22949 39233\n6706 39681\n7268 19492\n18364 19660\n11569 35624\n13981 29321\n1315 11030\n33226 34577\n6923 42029\n20436 20559\n40769 46995\n38158 45884\n8489 12769\n17574 38772\n22701 40361\n107 34848\n18697 25762\n11808 46871\n11204 43951\n4733 20803\n19921 41067\n14093 43339\n37809 44686\n10499 10629\n30375 42453\n7284 40891\n2082 3490\n18264 26713\n28775 32792\n19512 43472\n32902 44901\n837 29107\n29943 44203\n8684 40131\n696 38220\n22796 25135\n23540 26638\n1226 29917\n25084 35847\n24113 30623\n13537 44830\n12985 28732\n21605 36532\n14632 31199\n3997 26723\n7400 8243\n3325 29501\n29520 34137\n9030 19546\n6833 16918\n28202 46447\n22736 35438\n34813 41882\n34541 43137\n24694 27431\n28414 46656\n23591 45476\n10004 14057\n4402 20395\n1582 19913\n19211 40340\n27959 37504\n1347 17390\n27765 41660\n24145 24802\n8753 47821\n4024 28112\n9656 35173\n4154 26911\n22684 40584\n25645 34360\n11460 21226\n10433 15803\n26265 39304\n29398 42274\n23444 32870\n34339 48128\n22315 43779\n18067 28376\n10924 37717\n7599 32073\n19172 45650\n12761 29165\n34317 37412\n14140 15421\n4054 29339\n7243 43814\n29734 44172\n16901 39681\n32013 48340\n17537 36167\n20939 32503\n14768 46242\n26700 39586\n17164 18096\n5144 25083\n33349 37889\n30653 32488\n27722 29823\n11637 14828\n2343 41585\n11139 41927\n37538 37990\n4481 38402\n39391 43507\n11800 36295\n4384 29500\n1013 41897\n7096 21245\n5202 22203\n32834 47681\n8037 40720\n2176 35432\n10489 29716\n12555 27514\n11094 21063\n5606 20774\n12892 30248\n33781 40478\n28239 33293\n6452 19627\n12871 45859\n15272 42926\n28659 48254\n2032 7197\n1656 27871\n197 1760\n23114 38274\n25944 31771\n676 35178\n18483 18666\n34826 46201\n3918 27610\n6693 7227\n28159 42700\n16043 20257\n3808 15535\n1225 33675\n11824 25778\n21480 22967\n6113 11905\n11684 28924\n23530 24107\n3114 19750\n11208 11997\n13085 15890\n13256 25621\n35542 40892\n10230 42823\n2885 5083\n18915 28573\n9911 19069\n21257 31164\n12229 13844\n17860 19978\n42414 45100\n22683 26900\n17062 22039\n4861 41747\n30320 48521\n25613 44827\n4431 27358\n1847 20183\n5584 13535\n6803 7285\n8047 35865\n26648 35986\n12942 44085\n3144 32336\n3332 10192\n7458 11917\n8851 35905\n9137 37966\n17114 28834\n22728 25314\n6239 25005\n17390 40459\n3011 14252\n14283 42458\n2250 43534\n35500 37545\n9920 12524\n16058 33789\n33888 45307\n15494 23193\n19042 28306\n17915 22711\n13003 18154\n11306 37158\n15218 44863\n4894 11519\n39643 46462\n21320 43935\n22379 38093\n8442 30226\n15802 32454\n19802 30810\n659 29770\n15676 32914\n20745 39637\n6264 22672\n34764 35046\n2488 12117\n10185 26324\n29929 43716\n6824 28992\n5539 11535\n14860 38308\n11389 13782\n30748 43240\n25927 47918\n5153 10613\n20004 47776\n12976 15999\n42060 46191\n8957 32633\n737 6365\n6842 15348\n1498 18893\n1342 47182\n10679 18625\n4412 11090\n28946 30518\n14819 35313\n43083 44251\n21871 41897\n13441 26548\n6108 41931\n109 45021\n23150 23625\n20573 35640\n4160 21255\n543 8426\n27317 45232\n21357 42303\n15125 46915\n6751 26625\n25391 26144\n29597 45674\n5804 11939\n10101 20955\n30364 37260\n5621 42542\n3195 8594\n2089 8793\n15648 29099\n13144 33666\n10852 41569\n6633 42800\n26245 35546\n46115 46620\n3656 19151\n1299 4090\n28101 37496\n4440 8711\n33745 35198\n9534 30107\n40619 46745\n28268 30254\n31580 39944\n4293 36340\n9636 13577\n13003 14659\n12334 37972\n26596 41314\n20890 25069\n387 47815\n3918 16741\n5599 33364\n8072 10981\n24854 29042\n11141 48118\n27751 44504\n18277 29638\n9963 41791\n46126 47465\n30762 40312\n663 13364\n22985 43794\n4657 9868\n11417 36526\n44196 48628\n16171 38164\n37507 41664\n7060 17284\n43294 45177\n27302 28213\n571 31269\n12905 13753\n20487 40572\n4069 20949\n4093 8784\n5085 19662\n4571 6816\n26029 34567\n22776 31890\n2573 31000\n40730 46727\n4284 14945\n10930 28325\n12687 48032\n13252 30044\n14416 37401\n4924 35751\n5106 47250\n3450 6258\n37877 43930\n22455 33116\n19602 26373\n13601 15820\n18801 47926\n1818 8593\n19646 28692\n37625 48397\n9115 15630\n16520 45994\n17543 25585\n5849 41289\n16312 24163\n36730 45528\n6560 35050\n6936 18655\n38031 47630\n5942 7386\n26373 47627\n31820 40716\n8911 38835\n1546 37148\n18235 32422\n18420 23521\n21910 46834\n4747 13649\n39070 41912\n26051 42844\n15448 21199\n37772 47191\n12836 44878\n28992 30943\n5777 42762\n26364 44426\n3189 20327\n36382 45930\n19104 28423\n24126 30751\n4303 7242\n2997 34195\n11533 32600\n28783 32163\n22318 34856\n10922 15749\n6367 17136\n30225 33844\n12614 29093\n11762 34178\n2696 19763\n27585 35452\n19595 30169\n17719 31557\n12725 18674\n15591 31169\n1595 25572\n39809 43888\n17564 19348\n24977 41664\n19607 38442\n5072 20286\n26004 29212\n38827 48400\n13173 21431\n12790 46712\n7871 40780\n5019 25984\n1536 10694\n8409 44252\n17539 46682\n21571 38642\n42323 48223\n39713 41157\n22410 26618\n12563 39543\n6181 12971\n1782 17652\n10609 35738\n12583 31562\n1995 43888\n6746 34548\n2924 7620\n1225 22935\n12163 45228\n8143 18212\n25393 45338\n37691 39335\n36538 44328\n24293 25245\n8459 17226\n27475 44259\n15694 45406\n27479 32213\n17769 47452\n34644 43891\n20802 35651\n17961 47281\n33941 41618\n8048 29057\n10830 37958\n14793 33907\n21525 23636\n31168 41785\n16214 19112\n3260 31592\n27013 35372\n29580 35242\n21921 42297\n25746 31646\n26229 36102\n5518 41754\n5708 36130\n1781 23726\n3272 28768\n15956 24633\n3681 6142\n14159 23332\n25491 43039\n11317 12341\n24221 48171\n10430 35499\n21732 29517\n155 40366\n6542 43963\n9480 21692\n7172 30167\n18668 41437\n41000 48478\n5407 31536\n7242 28973\n16373 29801\n12652 23236\n4861 26366\n24999 27367\n6466 6871\n20107 29789\n17836 22583\n37587 47115\n21655 45177\n37052 47903\n17261 22587\n9228 31240\n2257 30134\n9990 42945\n20277 31222\n15654 42969\n14083 19221\n1869 29537\n5599 8506\n15687 19880\n15457 37253\n831 4103\n11961 16638\n1615 16693\n5108 27773\n20676 37419\n3239 8079\n30467 33066\n32432 32716\n8964 24994\n4173 14172\n23708 38291\n951 9653\n7516 26548\n21825 27252\n7760 9775\n3739 29529\n19723 26213\n42768 43190\n11853 19129\n30254 46603\n21347 48496\n5742 12784\n6924 14567\n19112 31410\n7939 14825\n16324 48083\n20329 29326\n30436 46406\n35678 42714\n12959 17981\n28292 39912\n13893 26580\n41815 48575\n6838 23672\n29985 41302\n13263 36232\n4699 41496\n3937 44904\n30677 39389\n13069 47982\n26934 36299\n630 17839\n42323 45856\n635 26746\n25298 48199\n2357 6218\n5711 20141\n25999 31727\n5811 10236\n14442 39936\n22303 34625\n27071 37132\n2872 33218\n11790 32639\n27405 39521\n8552 28136\n3369 26172\n18224 26805\n13764 31517\n7861 19736\n29214 41969\n17848 42138\n17379 29613\n32542 34219\n2379 31094\n4249 43942\n38584 39538\n29743 34443\n25261 47698\n2162 38269\n33932 37814\n24144 27271\n3859 4610\n31281 47702\n38990 42758\n12931 40822\n13084 36775\n10235 17708\n1932 23301\n24249 25949\n3775 26055\n3129 24379\n29469 42387\n934 36526\n8434 26484\n7240 36432\n35364 47173\n6490 24667\n16901 26947\n22813 45661\n4536 13679\n28315 47731\n10765 19446\n15501 23684\n24168 42341\n19320 20829\n27828 35713\n28056 47124\n10321 30311\n27799 40885\n47481 47748\n27040 40533\n31739 34637\n4133 41902\n8054 16597\n18009 45874\n8718 25558\n341 36128\n11390 32203\n25102 47881\n29059 40733\n19765 21621\n9540 40462\n20921 44952\n21491 48373\n18669 36143\n15738 16737\n4947 30771\n2519 26163\n8195 44429\n23567 38437\n5866 6936\n9125 12622\n12896 48367\n17622 29381\n19090 34029\n3645 19964\n7681 25231\n3703 18649\n36597 41830\n30530 40082\n254 38662\n1031 3575\n15036 18330\n26904 27060\n16486 42485\n4251 47971\n22213 37357\n6012 43194\n24374 42725\n6979 11017\n12623 29693\n8583 13215\n1097 47001\n19350 43783\n35991 37853\n1710 27417\n2791 27036\n11366 29458\n21943 24949\n19401 26649\n18452 42157\n551 18338\n6958 24071\n43119 43349\n25641 48241\n40920 47603\n22246 42923\n3739 32453\n6158 46440\n2311 20284\n5990 35363\n29705 37237\n25766 42189\n38296 39480\n18994 29121\n21432 26311\n20401 40495\n24198 43929\n5016 7617\n919 29809\n24686 39087\n3985 37479\n8225 43419\n12209 18541\n12269 38970\n29756 31163\n21 3704\n31213 33566\n7160 33438\n12422 28965\n16248 41497\n2519 7473\n4538 13499\n13712 44352\n8965 9695\n6215 26660\n22784 40740\n6952 16583\n22886 38759\n40714 47244\n2657 25860\n21274 33092\n17839 44996\n10564 48458\n25543 29009\n4284 48330\n11869 37269\n1457 8717\n23152 23203\n6768 43446\n22373 35825\n136 15732\n39482 47727\n7473 31924\n45382 47455\n39024 41868\n13584 34073\n15439 22612\n1375 48544\n25503 26014\n4769 35547\n37669 46547\n34600 36966\n41532 43556\n9873 31922\n6869 13093\n18491 37746\n58 15839\n3712 42408\n9349 35696\n21527 42275\n24923 44083\n8158 46920\n1687 31890\n32531 43842\n8239 12379\n7085 37426\n37094 37175\n24052 40825\n12577 24423\n16848 29959\n19587 47878\n17752 35088\n9034 10873\n24959 37695\n8972 29966\n12184 20211\n14805 23120\n35649 47447\n6442 24988\n1190 9446\n5633 41917\n16374 44706\n114 25059\n37007 40979\n35571 40892\n27794 31912\n22251 23460\n31771 36989\n15570 25550\n20378 35727\n27464 27814\n12109 20947\n4359 17878\n186 15744\n14245 33367\n10019 48027\n261 9094\n18517 43468\n6368 30135\n2922 13183\n2409 8798\n17473 26946\n10159 18476\n34136 46872\n40844 48273\n12215 36437\n12729 36646\n1802 2766\n12117 12670\n33088 47553\n18310 29129\n11367 11489\n29443 45382\n8265 20789\n2815 20036\n12384 16698\n9567 14356\n15764 46956\n10223 34500\n32463 37916\n10649 39571\n9691 24119\n16201 48370\n6155 29923\n1730 9696\n924 15080\n13943 15415\n993 2513\n18558 21653\n4371 35053\n7831 48362\n710 22053\n26409 41231\n10147 12653\n19643 43940\n23460 43425\n15506 36878\n9137 14999\n23468 42437\n22825 34275\n39079 42800\n4324 37746\n25546 33156\n9776 30639\n1379 29964\n30023 44600\n17497 39138\n976 24446\n19994 30042\n7024 15723\n8250 47439\n1330 46198\n3729 38818\n27728 30531\n25892 46685\n5647 26111\n2834 31440\n5273 10773\n6831 30368\n4583 5262\n15534 35316\n4444 23599\n28059 38358\n26140 43219\n22984 44532\n20050 32628\n19580 47207\n16506 29741\n43453 48536\n14962 36512\n43787 45440\n25191 25437\n30661 43238\n5688 28594\n17332 38343\n1662 11863\n30298 36359\n17772 46700\n4325 14011\n15743 32892\n12891 39269\n4495 16862\n3522 7268\n13987 18395\n6474 31901\n1478 47286\n7992 48621\n25772 42709\n5273 32570\n40267 42273\n4029 22244\n17524 48253\n20390 40763\n3217 26219\n23583 23589\n1367 13283\n902 18490\n5866 9093\n5081 37283\n26842 44494\n3726 28810\n1290 28197\n16563 25575\n11522 38444\n31479 48182\n4784 37812\n4744 30306\n8368 43437\n31772 42958\n20835 36932\n23728 25527\n6887 24174\n15258 37887\n29364 37620\n13556 14811\n28254 35326\n20991 38897\n3906 18904\n23485 31942\n22322 43737\n43418 48483\n19829 44048\n12385 28065\n1557 23191\n34084 47344\n56 26903\n11462 20475\n30132 45553\n17491 27860\n32924 35860\n15336 46317\n28719 32777\n21056 47695\n9047 31287\n22766 27335\n6820 26858\n20926 46104\n11169 41866\n38928 40919\n1492 17292\n7185 45734\n10408 47217\n6612 8112\n18865 37318\n38301 48580\n28905 33558\n25171 44502\n12306 46157\n22121 29731\n9417 9891\n2912 20328\n1955 44991\n15632 44563\n4253 36051\n9476 22640\n11847 18770\n3611 40024\n9212 18844\n5988 27573\n15867 20940\n12336 48096\n10058 39057\n24698 25967\n30343 47135\n1541 21987\n6938 26392\n7781 40359\n4295 15642\n13924 22833\n5710 40816\n29988 37617\n18125 33314\n21176 32483\n4726 44577\n9979 25475\n2549 23003\n23326 45044\n6794 23095\n15676 31031\n24588 46344\n31141 31271\n23065 48155\n29465 44298\n1247 24948\n40030 47005\n13653 45094\n10762 31392\n788 25270\n16214 46543\n22674 27644\n34076 38311\n33682 44411\n6366 40845\n23799 43348\n35539 38304\n29797 46158\n116 1137\n18635 26565\n27164 42224\n11357 14993\n7227 40097\n30210 46564\n5152 8254\n25370 38096\n17956 40091\n10596 22797\n8470 42375\n11069 13472\n8890 39649\n2673 33200\n15573 28084\n25512 43520\n2489 30896\n22338 44213\n4040 46463\n24044 24877\n3273 20926\n19286 28513\n5992 8519\n9271 10698\n14062 29649\n394 10812\n43247 45742\n19568 46758\n13367 46478\n14351 43955\n12625 33141\n10193 23816\n8547 30508\n3744 17650\n11951 15739\n7795 35854\n47773 48589\n16331 21655\n18512 44168\n13913 15422\n28856 29982\n329 37895\n28320 46467\n1240 48273\n2388 7858\n7535 21011\n8410 12448\n27960 38181\n18982 42645\n24444 30277\n40608 47018\n12421 34829\n14078 25771\n3595 40356\n17793 42302\n13281 22567\n10501 22953\n9604 14938\n26981 36848\n367 46683\n22718 36823\n22342 48388\n2995 15603\n3519 42863\n21056 23390\n23812 36060\n30119 31976\n23887 31216\n20403 40035\n19271 21443\n32996 37615\n24139 41991\n45167 47936\n30495 47092\n1281 16441\n7583 9256\n31035 36825\n8886 38146\n4659 24054\n33656 42666\n4752 21109\n373 26189\n16141 25495\n8527 44237\n12488 16717\n95 13510\n3449 26311\n8910 28621\n2662 39730\n6262 48409\n25166 41561\n12418 27010\n4551 31333\n1200 38211\n7239 37547\n9584 25762\n6619 30920\n26089 42036\n111 21492\n31956 43731\n2313 32341\n12560 13025\n1687 5739\n21189 42716\n11493 21404\n15028 47063\n10463 39627\n5712 39371\n15846 25018\n5072 43617\n37856 43385\n420 47352\n14868 33663\n13082 27793\n14243 20594\n34367 38776\n4778 12526\n35217 44045\n22119 32329\n19916 37936\n1479 21767\n13904 44734\n9770 20674\n4308 16030\n453 827\n2464 5289\n13991 14376\n38013 38491\n7008 28503\n27567 40095\n1733 2902\n6796 28630\n26681 31940\n33840 34569\n18869 26077\n15346 24053\n763 8840\n21211 32333\n3231 28272\n35461 40406\n26127 38525\n3840 44408\n14967 37857\n8535 23345\n3583 33979\n25989 37608\n26815 37584\n22364 47216\n14677 37834\n369 38730\n13406 15750\n14431 34504\n20764 24385\n3405 38262\n31383 34567\n121 17804\n905 12801\n5137 26881\n8142 22236\n4255 30497\n2186 42641\n19224 47691\n2248 46792\n21391 23666\n15472 40556\n666 5688\n9844 20680\n6657 37970\n33045 46140\n10284 17308\n3509 13220\n34754 39173\n16737 43381\n19740 36987\n2322 24005\n16677 44292\n200 32057\n13276 18621\n38973 42660\n13269 14611\n12251 46257\n63 11169\n22907 31883\n10464 26303\n11140 32638\n38295 44419\n8768 46566\n17410 26075\n21579 26196\n10479 41970\n13096 48096\n41607 46963\n291 38189\n2630 10449\n19484 38657\n30032 31872\n2403 44917\n8752 47725\n11739 20067\n24020 25169\n20707 27443\n3670 17517\n9063 34255\n2500 20212\n33850 47838\n8582 41130\n14329 48001\n14300 29360\n24292 40293\n9208 15765\n23555 38571\n3873 29877\n42175 47981\n29800 29917\n31391 45840\n1310 24210\n26807 42949\n19025 22947\n22117 37066\n9891 22387\n4767 30540\n133 34894\n38106 46121\n9695 20136\n16966 39344\n25487 45675\n17307 34167\n9819 45660\n21184 32934\n11349 48014\n29035 35196\n1593 2843\n15661 34310\n11108 25673\n25920 31023\n7039 8623\n20336 36528\n24119 45825\n16683 30691\n20786 23144\n3969 16351\n21874 22052\n5688 11000\n23531 41391\n8243 40433\n11512 31033\n2302 13579\n42389 44129\n11155 28383\n18153 43475\n4200 5961\n33696 37700\n35178 47843\n29016 41484\n7310 31190\n53 18893\n2133 4447\n5686 19972\n15882 27713\n9163 31176\n15189 32182\n34285 36608\n20024 42938\n20004 29927\n26582 40719\n5764 15683\n23121 31375\n22757 25120\n38626 46427\n953 23218\n24613 48164\n19171 30648\n30822 35253\n6402 36497\n6395 46609\n13937 19486\n15008 28414\n704 44596\n7085 15263\n1520 42057\n9503 21759\n9639 39397\n18327 47518\n23367 36011\n27464 42246\n4649 46811\n2833 42300\n26532 39914\n21824 29058\n40304 41973\n17457 25998\n37721 42355\n5646 6314\n23228 33600\n6465 17970\n15949 28412\n6848 37995\n16086 20822\n15806 41673\n24567 32041\n17340 45392\n5241 16899\n6881 39075\n2584 14218\n305 31839\n1343 21589\n7405 9352\n2885 13220\n2050 44631\n7801 16826\n22173 25502\n9521 18218\n5627 34100\n1651 26553\n30553 40719\n8284 44869\n25782 29387\n19430 39167\n15962 33231\n21002 33529\n15719 34886\n11633 42674\n411 1692\n6503 44023\n1595 28505\n5153 37692\n23849 44746\n4770 6761\n32442 40416\n10446 46666\n3113 38404\n31926 42707\n34114 38729\n11837 35115\n10880 17151\n30448 41060\n28920 47533\n19755 43835\n14928 35313\n4850 37355\n11490 19107\n20493 27147\n7040 30589\n19782 43115\n1018 15202\n4477 43946\n21580 37051\n7318 30711\n36722 48576\n15051 27011\n25062 32645\n659 42352\n19855 20655\n910 5773\n12670 34986\n23856 46677\n6432 7953\n7571 43375\n45155 48033\n24041 42374\n30486 32565\n22345 47370\n9342 27986\n14523 39259\n7012 36859\n12660 40491\n19514 46166\n6056 20959\n11038 20784\n2130 5625\n2948 4465\n8158 19526\n15264 25985\n7830 10976\n35788 37461\n4605 35990\n24539 31811\n5699 11542\n31801 32851\n16745 37933\n16095 21000\n18074 33533\n9884 41433\n25543 36958\n11760 13004\n22534 26083\n18421 37107\n11460 33589\n25108 45054\n3228 20525\n41040 45940\n1937 32277\n37449 45139\n5902 45153\n3526 26917\n1615 42596\n8791 39909\n28539 37138\n6442 29845\n25553 27317\n25454 41938\n4582 45368\n5743 38679\n32166 32506\n665 28760\n14886 48219\n16038 29252\n26393 34876\n30853 43232\n8098 35883\n13518 31841\n5735 8762\n13248 31714\n4947 21913\n2402 35668\n6544 25522\n11810 13181\n31034 42291\n10839 30193\n15816 36022\n10930 34210\n12000 20989\n10980 46504\n36140 40217\n39355 45707\n6055 27436\n9494 36604\n10263 35551\n7500 31900\n38420 45544\n34337 43283\n1839 42838\n846 43612\n19885 20872\n2711 31878\n24897 38788\n33774 44991\n24188 28544\n10777 24102\n31198 38307\n39480 44954\n34428 44363\n4199 16488\n24034 40079\n3324 3599\n5218 40977\n39442 39901\n14448 32971\n7298 45200\n16633 40360\n23738 35825\n5998 32146\n38976 46153\n12779 32891\n35002 47749\n10633 34819\n27187 35102\n17655 18336\n38006 41771\n36962 38080\n37076 46473\n13046 47865\n23547 36214\n27010 27213\n4262 12041\n806 46065\n28594 33350\n231 12000\n3933 14919\n21515 21969\n7997 15449\n11601 36875\n12229 21022\n7882 44140\n2459 16800\n2951 45730\n12702 38302\n8753 26144\n7113 25415\n9836 31637\n1294 2704\n31310 44407\n1549 22003\n1544 19519\n9873 20764\n521 43474\n6933 37536\n5156 32865\n8675 18126\n15285 46580\n12989 37920\n33943 40698\n4611 12075\n13996 43007\n16581 29485\n9796 35016\n23547 28952\n20009 37870\n39512 46950\n28035 30269\n313 45010\n9446 33935\n19667 44901\n11830 33114\n5046 24220\n19123 34841\n774 5932\n15864 46403\n693 42867\n8594 34153\n5708 45454\n40036 42902\n33182 48331\n15817 35855\n31516 43024\n29323 41716\n1731 14574\n11129 31486\n9877 23703\n7055 9911\n22685 32820\n17206 31725\n13155 36059\n2954 21804\n17211 36303\n6548 15566\n22097 25148\n22580 24887\n25899 26480\n18016 18338\n10225 19998\n11417 33107\n7632 36515\n11951 27608\n29716 42187\n18290 20193\n12110 33012\n18484 36928\n9326 15419\n5827 47612\n4690 37563\n358 33750\n46015 46707\n11977 41932\n17920 31805\n16109 42721\n6352 46516\n22139 36255\n12781 33921\n4795 10758\n5139 36733\n29865 44576\n9507 14705\n6542 48609\n19749 44903\n35170 48076\n8304 36441\n7985 39107\n32709 45187\n37212 40027\n5898 40228\n24191 26761\n18582 35074\n15221 23892\n10418 32596\n29751 36781\n6604 14791\n336 23947\n1016 3155\n22880 44037\n21021 43698\n28245 46228\n2697 11180\n25182 36444\n17104 44981\n11029 44227\n702 20836\n17000 44911\n10255 23551\n2300 33774\n9372 32176\n9039 48129\n1435 47520\n290 28216\n2824 41049\n12684 18558\n30341 44608\n28535 30579\n31128 42061\n4403 17517\n7018 17585\n2450 28040\n8102 29046\n27690 41850\n9256 13892\n13471 38582\n24670 45202\n18786 48301\n15477 22055\n2916 24229\n7265 32635\n8721 28491\n33448 43512\n7110 25518\n5058 26139\n1508 7121\n10694 21567\n2345 39829\n11187 47869\n18053 47891\n37272 38421\n26653 40157\n17611 41528\n38664 45761\n17084 43748\n4131 6481\n39804 48658\n289 1359\n6024 29075\n843 31766\n1163 36677\n41947 43301\n32018 34596\n599 25471\n5401 7639\n11996 42412\n8888 35748\n11621 24963\n41823 44159\n19353 22273\n33828 42626\n12228 35828\n6850 11887\n18006 26354\n8076 26141\n10389 27372\n15598 24305\n2772 5837\n19269 34740\n34529 46585\n22513 29268\n9538 47991\n26514 40251\n34176 36955\n23298 24873\n8120 26438\n23293 30852\n16681 39334\n6527 12262\n16347 19872\n19236 34313\n20871 33427\n21499 30968\n23941 39571\n27691 35623\n38763 46039\n37927 42844\n17708 36020\n4383 44440\n18028 32833\n6321 35514\n39380 47749\n39411 41611\n29550 48124\n17155 18060\n7893 30469\n25432 44088\n14480 16421\n24444 44871\n35061 41978\n20473 21895\n45561 46707\n18004 48532\n23667 43828\n36806 42594\n2330 7765\n33760 43407\n2176 30177\n36025 41140\n33821 40861\n19629 33478\n18583 41767\n26346 36943\n4997 16784\n29118 37846\n34365 45383\n9836 19664\n32475 34089\n7530 27329\n4309 14705\n12323 14714\n10935 42171\n1699 41013\n36300 42009\n1272 4785\n2035 12201\n351 36410\n8215 43464\n28118 30441\n15725 35581\n3457 22802\n9929 20394\n1521 12756\n4437 15524\n12263 46372\n2842 30037\n31989 35527\n704 22384\n26177 32967\n1402 32910\n13218 19532\n29222 36931\n28697 42077\n2985 20273\n11857 16797\n6690 15678\n10753 42640\n567 12411\n14550 39447\n31485 39208\n5659 19630\n4016 43746\n2313 27488\n19686 32340\n2740 6129\n5640 40747\n23627 37574\n8913 15610\n3941 20288\n2058 18401\n1996 11320\n8977 18238\n5579 34838\n21281 43911\n7446 20518\n2161 3914\n14879 27732\n10717 12712\n13826 38980\n252 21869\n12002 20640\n8604 39205\n454 31321\n18212 29261\n33341 41553\n11147 24047\n39260 40694\n668 13829\n21594 23355\n4753 43166\n13932 36792\n7674 48324\n30056 32881\n3436 22018\n41442 41488\n2531 17105\n3432 11210\n34899 40632\n2165 3435\n13578 29520\n11793 43773\n8684 19831\n3851 47843\n28974 32873\n4346 37244\n22605 26359\n25156 31554\n6274 12477\n25152 44383\n28052 30126\n32596 47566\n24909 39724\n35912 39843\n39454 48001\n26961 30102\n264 11862\n8074 45634\n12396 18464\n35693 35787\n26099 26493\n27072 30064\n2232 9226\n35737 40711\n28018 35318\n11698 47280\n41021 46069\n23670 47660\n21566 28402\n8759 10959\n6978 30168\n6120 48416\n12186 35566\n33491 41523\n19216 46814\n15358 39736\n10433 13810\n1605 39926\n2175 44757\n9313 27398\n17052 42308\n32152 44517\n25161 32776\n35935 36727\n8349 33861\n33162 47793\n28195 47145\n13151 15875\n23304 30596\n21906 39384\n5655 35414\n36136 37685\n33578 39955\n34946 42572\n9386 30573\n4146 23720\n9544 21031\n21736 25104\n18566 45573\n2039 23992\n4505 48171\n22321 29757\n15394 29335\n1675 26487\n24506 46749\n22165 42307\n7237 14143\n13251 47164\n21147 37124\n17519 20499\n14760 38127\n12904 31665\n20563 27304\n35500 48211\n11788 22615\n22201 22970\n22765 45720\n36307 38614\n6991 45187\n42966 45196\n15744 31068\n8391 24570\n12443 26195\n30805 31609\n8555 36147\n17486 33784\n2540 23801\n20782 28046\n3480 34995\n8313 31568\n27748 39902\n16510 39730\n2645 9063\n14423 37204\n9719 12239\n17724 37831\n35105 48661\n8067 41510\n11255 25406\n12639 46378\n19173 24539\n26461 37753\n11728 14131\n30025 34838\n27639 48265\n1249 16733\n28952 41590\n21794 45247\n13890 28262\n1878 38402\n18629 31360\n38427 39215\n40913 42595\n30458 43913\n27108 30136\n25698 28648\n2011 43196\n18472 35545\n10997 13926\n2883 37765\n6017 9699\n28599 29249\n10757 45600\n26355 27723\n10268 17533\n3227 23769\n22799 34205\n6248 7113\n34381 46783\n26812 36673\n26336 31841\n26460 40498\n24626 28682\n9 4252\n7985 17379\n27512 45188\n8476 8688\n25219 43625\n1602 44072\n143 33579\n9724 20052\n1702 47095\n19263 23873\n6554 8487\n9959 21597\n8512 11283\n10213 26949\n25378 28975\n39628 40150\n15686 44175\n4947 34643\n8518 44347\n7180 14475\n578 14813\n16292 20056\n35326 39237\n23195 30164\n6874 48669\n25 9522\n13072 46867\n25382 30313\n28395 42603\n3531 39971\n14580 46880\n12223 26846\n6593 45878\n788 20339\n31400 44539\n36491 47228\n37626 45205\n27747 43734\n9933 17585\n34004 35784\n2626 5784\n24430 42825\n41575 42865\n16207 38653\n15086 31821\n19477 48295\n8337 16979\n25611 44689\n38908 45859\n10897 21023\n41934 44446\n9366 42179\n672 25807\n24555 33703\n3418 30340\n2048 18792\n10247 24524\n17361 32371\n6379 37874\n20201 26404\n8486 47662\n26175 27975\n10052 23941\n3002 42731\n24992 44057\n6279 30337\n4192 4400\n21272 36942\n5341 47023\n5410 38044\n6360 20611\n24671 36784\n15386 20031\n7393 48624\n33725 36885\n1534 8277\n19051 27398\n43857 45964\n33798 42551\n533 13429\n8979 17122\n7283 27365\n13553 42949\n156 32103\n25533 34529\n14958 17740\n453 17327\n15289 35319\n12146 37987\n22023 27676\n15351 19979\n18139 36431\n24909 32437\n18476 30008\n19651 33857\n13053 28899\n6240 6804\n14036 24436\n24325 30520\n23417 26188\n19503 28779\n8074 9940\n10659 18521\n40482 45815\n6899 26137\n14202 27235\n27111 41145\n964 14417\n19344 43990\n9196 31067\n33405 45738\n2938 7893\n31537 32236\n13075 18065\n11406 39719\n36587 39761\n7247 42768\n2219 18719\n33092 35481\n544 32353\n15324 30375\n15579 40648\n12018 22303\n4864 33695\n13007 41477\n10018 33121\n39234 41197\n16478 43244\n17040 41262\n5662 47116\n17173 25551\n25049 46725\n13218 35347\n25864 44460\n12327 40808\n18593 38201\n12899 45446\n22919 37365\n2590 9465\n5016 25079\n31158 46578\n4574 39866\n1873 20852\n2042 11522\n26868 37405\n20558 33219\n4484 23983\n43283 48524\n7812 22461\n26229 30188\n9917 33464\n4122 9107\n16304 19905\n11837 20543\n14943 26549\n11338 31649\n1961 37576\n4173 33811\n14332 29260\n13547 29654\n32436 44578\n9137 38162\n19139 36317\n5037 24240\n172 41024\n2513 30430\n4522 30052\n17234 33102\n4426 9881\n31709 47953\n25248 37219\n8208 15568\n12916 44158\n39574 46416\n16593 23290\n19124 33266\n1983 12253\n22881 28431\n25721 47220\n11944 18513\n20729 23281\n26061 44973\n23539 39892\n9837 33813\n14612 26357\n3043 34150\n8676 39734\n3896 48299\n15201 34531\n26195 35252\n8662 13744\n2781 26663\n21732 32016\n19960 40346\n9456 27273\n44247 44320\n25577 43785\n35740 42506\n30823 31506\n7273 25541\n4079 30411\n11661 42151\n13724 42254\n4892 15062\n15068 38773\n32446 38144\n1973 28786\n82 22002\n17018 28309\n16506 26718\n23107 36069\n30445 31152\n18694 40444\n40763 44325\n5175 21344\n16890 40602\n2905 40909\n11080 16399\n3598 14018\n10227 15073\n26239 27949\n19683 42465\n25768 30450\n14787 19151\n5921 42333\n6515 15066\n4190 44209\n8637 23700\n23629 29868\n28415 31560\n11519 48224\n41928 48594\n17615 42422\n11998 12771\n37010 37544\n25848 28183\n21580 27276\n5627 34492\n33129 34631\n14106 26732\n20636 45881\n8090 42216\n25031 35542\n43306 46861\n18761 44505\n3341 27739\n33813 38176\n20655 32866\n28639 34218\n11224 32236\n27644 29741\n22761 27226\n967 33367\n8054 10869\n2222 24715\n11469 17546\n7161 44889\n26470 47108\n12549 36658\n3944 43163\n20299 25660\n31195 37741\n5721 13978\n31449 48572\n32842 39970\n6434 37245\n10885 35733\n19528 47037\n14660 15890\n20433 30054\n2592 19923\n3131 31618\n26596 31100\n12296 18158\n26333 45023\n7849 38110\n21091 38557\n4195 28443\n34861 37687\n3144 9965\n41668 44957\n26810 41794\n16876 39472\n28300 44149\n3801 10122\n1335 39202\n28089 28532\n17586 36352\n23897 48154\n28896 44905\n19893 46101\n14946 44023\n8013 19547\n11487 30067\n9141 18133\n15264 39065\n32440 44404\n13039 32294\n1554 31698\n15106 26799\n17317 31321\n12368 31922\n9251 37382\n7215 35310\n17530 48648\n11943 35032\n7455 37297\n34208 36656\n1231 25076\n26039 43971\n7684 36733\n28298 46052\n8884 13599\n18536 29261\n39532 43651\n37504 47106\n5835 20312\n5243 41942\n10327 10540\n2329 16114\n7256 42568\n28025 37663\n39314 44672\n11424 29451\n15236 16328\n9647 31488\n1747 43509\n26230 32786\n15935 24323\n12856 29122\n24986 48396\n18393 19056\n31792 37292\n20407 29617\n19089 25841\n15878 21715\n16907 21543\n34939 35897\n21274 25303\n3506 35499\n20603 32244\n10622 23863\n2386 16800\n7824 40287\n15737 29578\n4841 22562\n22056 37667\n34732 43653\n2503 9106\n3895 30967\n22103 35721\n31815 32553\n2796 16043\n8962 31625\n21282 23107\n15134 15643\n7489 25543\n9036 30834\n84 6762\n16578 44756\n1125 29815\n21353 22026\n25882 39272\n11954 28264\n7296 12943\n16232 22922\n29735 30228\n11284 27058\n32641 37727\n14402 33707\n11267 38679\n1874 13053\n7338 19451\n7223 9127\n7351 20124\n30214 46642\n12914 25824\n17383 48266\n37431 45490\n3609 43901\n8665 32371\n4936 35900\n2720 26021\n15957 19071\n9401 18590\n9321 22593\n34043 45755\n4957 23761\n10992 12654\n16872 27175\n4772 33710\n30248 44039\n39907 43358\n35457 44012\n29305 43572\n21440 27244\n827 36946\n365 19035\n21446 35820\n2149 18070\n10228 25224\n359 31373\n7541 12105\n24005 31435\n21661 33890\n37318 38492\n26353 32516\n23314 43139\n24825 39984\n6723 32237\n13990 32821\n11143 41912\n43164 47899\n40225 45299\n21440 33836\n24156 33146\n6179 13380\n33345 34035\n20618 42046\n24760 40273\n6644 14688\n18327 41555\n42307 44852\n21283 30197\n31735 33724\n21231 44090\n17185 40844\n30403 46750\n5459 29291\n511 19905\n42405 46716\n11085 45463\n24549 26429\n2952 25683\n20667 41397\n27579 43300\n4056 23582\n23183 40376\n2615 4732\n11779 24460\n28673 34850\n26549 44088\n17586 45816\n14986 27047\n22019 34139\n44092 45528\n11779 24309\n14755 44062\n6844 35444\n26869 30424\n26432 31385\n28992 30687\n5801 22857\n811 26015\n16353 24840\n12348 45136\n4630 47094\n283 10990\n33475 45134\n33678 41151\n10890 31069\n32621 44723\n24306 34965\n34966 44581\n8220 28927\n1523 14247\n10729 36553\n37718 39248\n26554 32252\n20739 40669\n18563 31599\n17444 21896\n19319 35408\n2808 7172\n25686 44975\n11533 33061\n17277 18819\n11959 18102\n6707 39848\n36081 38655\n2909 17063\n11350 26811\n14913 26681\n14758 48557\n17079 21344\n29390 47222\n8980 39772\n19948 40970\n11103 29302\n22178 41589\n11149 17996\n12241 35197\n22112 23413\n1168 7899\n20391 44786\n20623 35231\n36647 37345\n11812 18860\n4319 45649\n4820 39039\n29265 32270\n12652 47010\n9032 33592\n7810 35027\n9612 36060\n18206 21798\n22964 23961\n35296 41150\n38227 43563\n17728 42581\n7250 14900\n7460 40325\n22485 43914\n308 29964\n2248 18254\n22991 40109\n13942 32769\n12294 17683\n39852 44861\n1990 41995\n2898 4722\n10923 14505\n297 40509\n4478 37454\n4524 10883\n12387 27318\n40245 48260\n36337 42524\n15984 36789\n20074 34090\n15564 21991\n16151 24552\n34321 42003\n1840 27451\n11461 37741\n23975 39169\n9749 25662\n20363 36989\n1885 31041\n16524 43742\n22050 32774\n9201 47509\n11103 47667\n8266 9078\n28726 30987\n27206 37984\n22733 28049\n20720 27762\n35807 38006\n16766 20639\n20350 34860\n29329 31504\n564 1342\n12289 38129\n15639 34283\n5934 18101\n9824 14876\n14979 36133\n24514 39343\n23278 25545\n13410 15443\n8468 16821\n8825 10603\n9159 31398\n19177 40060\n9161 19866\n14125 14148\n2106 22045\n400 702\n25613 36083\n296 26378\n21109 46252\n24006 42803\n21168 21281\n15037 25920\n35069 40100\n2971 28327\n47277 48344\n1198 18713\n14864 47945\n14732 29786\n9131 37439\n11802 28770\n12860 38213\n3381 21538\n41036 48452\n7184 38988\n36732 44306\n25399 48276\n17399 27973\n33945 41191\n7322 29190\n8819 42019\n8439 11515\n1583 19796\n5393 6704\n30768 46775\n2604 33977\n18993 40804\n30987 44875\n7147 36879\n9377 28581\n38066 47514\n26856 46338\n15439 24449\n11722 22785\n30083 30561\n2190 45533\n15899 35063\n9834 16532\n16509 19704\n8636 44989\n18246 46236\n5484 17763\n6359 15715\n6209 24360\n19448 25274\n18551 24848\n6361 9263\n27953 41903\n13951 37359\n38766 43668\n11249 23621\n18499 23821\n33252 42770\n18041 21590\n814 42392\n22127 26900\n4349 5529\n22843 39891\n14456 29934\n3621 20741\n3827 44566\n14191 19699\n19858 38185\n7372 26415\n1829 39405\n8561 46362\n18928 33724\n7103 12143\n4377 41932\n12759 29313\n19280 46900\n13525 34520\n327 25959\n4446 47735\n6325 45663\n42583 46666\n30644 35179\n3153 30889\n9269 48379\n10938 20080\n30312 42617\n34633 46085\n21492 25835\n25553 31637\n5212 13342\n20289 47247\n5148 28177\n13798 39864\n6038 9109\n28659 43144\n40986 48570\n12349 22903\n17304 39451\n16215 32016\n17376 19575\n9661 38036\n23621 27815\n18007 25685\n5177 16672\n307 21069\n5187 35712\n17490 23068\n901 12533\n25114 37308\n9667 12593\n4681 47824\n11295 39411\n3830 36889\n16420 22199\n4376 17102\n10939 19171\n19703 31682\n173 41921\n23976 24931\n2176 37731\n25610 36382\n2806 36880\n3171 25431\n12587 23487\n13386 31748\n9747 17820\n27609 32389\n21541 22939\n9929 13853\n4660 34574\n5067 14379\n11769 31520\n18673 24803\n44915 46830\n3201 14513\n9768 29088\n16389 30771\n30553 45753\n4365 26523\n36754 40421\n38384 38735\n3557 12584\n16325 18337\n4683 16045\n17121 40941\n33330 36875\n26814 35383\n28445 32099\n13853 39428\n1243 43350\n1966 39247\n5952 39134\n23265 42075\n12056 21995\n6426 30270\n14805 41230\n20513 37746\n27967 35310\n33754 44847\n31120 46604\n42960 46341\n24099 40368\n30496 37795\n18392 41342\n3689 12748\n1562 14795\n10741 45739\n10417 11648\n2489 22891\n2187 29099\n6174 37575\n24823 42178\n15081 17283\n6719 43843\n9745 41719\n22201 24998\n2454 30058\n2002 21428\n23314 27561\n29977 35855\n21488 28437\n4982 46463\n2962 18957\n5121 27325\n11619 43639\n11287 24154\n23834 26820\n30547 42212\n33377 34893\n14848 24628\n11984 44748\n1030 12207\n21187 26996\n31642 32689\n14959 26022\n10282 25995\n24415 30745\n18337 33308\n1639 19435\n24441 46328\n31269 46038\n7395 40342\n12500 19111\n13230 21759\n2860 22827\n23057 30159\n11736 33423\n19034 26212\n25312 41700\n9826 45340\n4338 21584\n27028 27082\n32606 33754\n21065 48600\n19301 40187\n12894 44415\n16625 17381\n15728 24780\n7771 10967\n2794 15548\n21847 40669\n38846 45565\n34472 44626\n38581 43411\n12653 36202\n5196 25024\n30667 39097\n50 710\n726 25785\n7109 8139\n40672 47282\n3389 4252\n27007 40025\n34178 35265\n23887 32019\n8613 24987\n13090 29510\n10876 36453\n4226 38083\n11703 47344\n37168 38371\n6845 23984\n21316 23504\n2113 11125\n17053 27384\n3015 20610\n9123 26676\n3046 28958\n1323 3716\n9809 37139\n6595 31267\n16561 21981\n10813 34563\n17610 45395\n12599 26050\n34984 35542\n17922 21165\n40387 46616\n2836 46573\n10304 38418\n35700 47733\n9201 37012\n41351 42683\n1217 19403\n8742 28621\n29114 39804\n11398 24623\n21155 22655\n4937 23271\n13633 20444\n2569 43627\n32676 46451\n6705 8548\n41469 43434\n124 37876\n9812 45083\n4149 27997\n11048 43227\n7060 32082\n14160 38615\n1215 5564\n13113 36209\n15058 26146\n13602 31417\n8105 42290\n14522 37718\n9237 33657\n29053 31092\n6981 28928\n7811 32258\n17484 21057\n18892 31402\n12829 25922\n22308 45575\n37940 43036\n20178 43289\n3480 8385\n32770 47799\n44059 44212\n33700 40593\n8198 32547\n16000 23196\n1547 17976\n4115 25024\n7037 14417\n39529 41526\n10440 10444\n123 35388\n16909 34392\n3858 15645\n5783 25516\n24679 46318\n21133 44220\n38967 43253\n1046 33326\n2741 44917\n17423 26527\n4406 7040\n30875 37507\n34429 34613\n6633 30698\n25667 42720\n31767 47100\n21006 40851\n2538 7379\n15323 33585\n344 38112\n36554 45044\n27190 46844\n34151 36644\n3361 45417\n1864 7793\n12415 32828\n5962 36362\n4056 39473\n22920 33846\n32771 33827\n4699 28644\n24597 26975\n2280 29564\n20502 25186\n18112 24274\n20787 28258\n10584 19903\n2116 2892\n3134 40010\n32728 42984\n19316 32687\n42578 42718\n14361 32533\n9344 23026\n32292 40184\n15434 25218\n7144 8283\n34164 47740\n2109 11261\n24020 27461\n15237 26084\n10946 38591\n44555 48117\n2154 44103\n17428 22874\n30330 39106\n10748 15107\n22920 23045\n6815 33341\n21317 42150\n18676 24449\n27902 33735\n18212 35280\n7897 11666\n3895 6802\n27544 34843\n43123 43434\n6807 44826\n29593 39912\n11769 44088\n12104 27419\n7018 25437\n15906 33027\n6276 39528\n7416 27788\n24496 38529\n6429 13251\n31975 47079\n12298 21676\n14323 23690\n26035 40984\n33928 39816\n1746 39081\n293 35434\n3714 13019\n42254 44361\n8843 10154\n10714 19298\n3547 38903\n18351 21369\n570 44815\n18775 32983\n328 37096\n41704 43371\n28063 29602\n5716 15967\n2370 20419\n745 35741\n2244 46304\n29074 37558\n12370 16806\n36054 40814\n29617 32575\n4018 6901\n21741 32368\n2696 5990\n1762 3517\n8207 21164\n13605 17374\n10908 16769\n23061 33204\n13476 19533\n7638 37554\n32992 46043\n28606 47777\n18202 21194\n30953 42060\n10356 19943\n4092 27684\n24009 26427\n107 25749\n25355 47459\n16144 47433\n11686 15042\n26489 36332\n4563 21650\n5126 28607\n7967 10769\n14456 19372\n36927 47172\n10136 27436\n14971 29940\n6347 35761\n3699 48102\n26218 44464\n8621 37351\n10088 22002\n10250 12193\n312 17181\n4120 10398\n27367 47961\n5509 9339\n644 7640\n3681 10154\n92 11428\n8891 33493\n22862 32960\n21604 33324\n23271 47121\n7178 12277\n1679 11979\n1819 48310\n450 20244\n13119 43926\n819 7632\n25403 43425\n10308 30906\n8575 19859\n30625 37801\n16332 16935\n2032 27263\n22358 46145\n10727 43906\n15915 46312\n21758 33658\n15904 26377\n31317 34791\n35362 38243\n14198 23166\n13079 45805\n20219 41434\n28194 38883\n4084 24717\n4754 47059\n11664 25273\n18429 25258\n26004 43864\n22847 34344\n7704 14874\n10191 41980\n7151 23709\n17366 44426\n1407 27727\n18839 27121\n20828 34306\n15381 39390\n37076 39671\n18619 45379\n177 35521\n18758 41768\n22153 46404\n31280 44774\n36753 38495\n38731 44064\n37609 38706\n25304 32274\n22824 25555\n10458 38557\n19031 34428\n1793 29158\n21752 33173\n6958 13286\n4372 28753\n29688 39902\n28574 42619\n27164 28231\n14065 21911\n5462 46384\n20211 39306\n16185 36397\n14142 23694\n417 10815\n28711 45856\n1638 19991\n24274 36966\n40085 46272\n9702 43350\n6689 13517\n5936 45198\n13170 25467\n22186 41740\n6353 45370\n1294 2682\n16913 36902\n41795 48072\n1137 42827\n5999 46231\n45556 48167\n30050 41639\n4476 22031\n2630 4215\n1725 23772\n36686 40061\n19427 22644\n5749 10511\n7835 17834\n13640 42120\n28372 42161\n42614 45097\n14149 46056\n3615 18638\n34595 35984\n25042 38950\n1864 40477\n26065 46953\n4358 32861\n3305 37023\n6825 7605\n13250 22551\n25445 33806\n10470 10999\n767 17742\n17238 37713\n39775 41056\n21812 41009\n8759 11050\n30822 36272\n4412 33921\n4785 39048\n14069 24051\n13666 38954\n26766 36648\n11944 25635\n481 43757\n14947 45860\n35471 44751\n10455 37076\n8221 22182\n8134 8291\n28299 45693\n6 21170\n7224 41394\n1254 17336\n33817 48412\n11857 42318\n14855 20841\n27142 42053\n16708 36265\n23652 34210\n20413 31207\n1714 30336\n1308 16564\n33051 48114\n25461 33091\n7533 18099\n20037 22100\n21882 47474\n23190 40191\n1681 9954\n2733 29283\n22806 25814\n7612 35413\n5314 6229\n27728 31642\n26671 33462\n748 10504\n40115 47512\n1025 6963\n4690 40473\n26565 43451\n18521 23186\n35634 38019\n22362 40858\n8507 22403\n22207 25481\n7702 22085\n16637 45276\n28238 33656\n21425 41502\n18277 41449\n29245 42024\n173 23973\n35157 36420\n24361 42630\n14406 29237\n1620 37733\n7143 33017\n17931 21552\n3059 25395\n9188 38811\n34661 40751\n4324 9207\n21203 23848\n23407 47850\n6800 10371\n18996 30005\n3712 14715\n2881 34592\n11980 16204\n3376 21758\n1845 28169\n12475 22955\n42709 45108\n1682 33222\n27615 29193\n28385 34295\n5001 13192\n11637 34567\n38527 40166\n30533 38997\n16609 20017\n13321 38814\n36944 41771\n19198 20282\n15826 20869\n248 20344\n36355 41958\n5963 19676\n642 34533\n14733 43787\n20069 39022\n40175 47848\n14567 37543\n18712 23885\n15569 24373\n4311 40456\n10156 38366\n39948 48283\n17041 36063\n1518 19077\n11185 37688\n17553 29936\n3448 45971\n4018 13681\n6253 43153\n11502 12696\n13480 40321\n14272 14505\n8761 34763\n12085 13127\n37652 42132\n17391 40596\n9410 47733\n5274 46640\n29138 45047\n30395 34519\n10450 43093\n1515 31384\n5627 9734\n11024 29408\n10721 34194\n6386 45701\n12914 20841\n6398 17980\n21194 29816\n23967 29386\n16532 18529\n18373 44183\n10021 16621\n4485 41991\n27969 27980\n16050 16712\n10906 34007\n13464 47590\n20596 36525\n2420 31659\n687 12246\n2638 21262\n24392 37853\n9748 47164\n18596 43667\n33925 47679\n14990 32773\n3423 30197\n13562 35878\n8111 42924\n30110 38204\n4425 34293\n2408 30562\n8368 37497\n15088 22101\n853 35155\n7856 45494\n2579 41571\n13623 16133\n9422 46825\n18738 44148\n40894 48237\n15963 23514\n27789 42533\n5488 16245\n535 37007\n3466 6664\n26369 48177\n11005 44345\n3674 22182\n2277 35833\n43133 43526\n5122 7513\n9526 24581\n9443 14881\n33410 47439\n9579 18333\n839 23556\n12410 31226\n12348 39863\n1622 19462\n38952 39344\n8521 45875\n24106 24374\n26828 48496\n2898 30466\n5015 34801\n4535 27761\n14377 27055\n8810 36702\n20372 41724\n5818 34111\n6148 34798\n23575 26244\n20795 33008\n12706 42991\n26414 48261\n27029 32005\n27204 47372\n39280 42614\n16970 26780\n10403 25588\n365 33015\n4862 44678\n390 33874\n27956 45373\n34457 36160\n385 736\n13522 41238\n10458 43632\n17183 23406\n24167 39237\n568 42932\n18132 21433\n20553 21041\n19263 21416\n33389 45577\n4853 24564\n14329 22267\n26081 40472\n29151 46590\n43114 43761\n2082 21963\n41678 44566\n11081 41966\n16905 38026\n17523 36919\n17417 20309\n9190 40682\n19877 23999\n27249 45590\n14622 28021\n9702 29359\n5727 32391\n27011 35479\n28303 40177\n4721 32807\n11124 40106\n24160 34967\n35385 36395\n4031 9116\n35440 38546\n26980 34609\n14258 48645\n29488 43954\n21893 27594\n44074 47203\n8520 31798\n5033 5954\n43057 47511\n13067 38852\n411 13269\n19371 23031\n34931 46722\n23671 44785\n11903 39181\n6764 40949\n27571 31945\n13147 43724\n23260 39824\n27198 39452\n6818 28304\n17498 34366\n10278 10687\n6781 46594\n1453 26891\n19418 24159\n268 33517\n40313 44425\n1674 26961\n19050 20492\n2862 15444\n9510 31390\n6510 12963\n21178 27903\n25886 43003\n21279 30727\n16455 34502\n21393 30690\n36350 47107\n208 17705\n5321 39505\n5221 31749\n5497 36156\n20703 40320\n9026 30540\n5247 5497\n19629 45759\n5375 16549\n31778 45734\n29779 32303\n1433 3555\n18649 42514\n2 25197\n32562 35656\n12338 35730\n2059 33367\n13142 20809\n11509 40897\n3930 36026\n13296 17360\n12456 29593\n16697 35132\n24233 46895\n9115 37816\n27095 45369\n6369 35711\n38254 41119\n13240 48348\n6464 12054\n2481 7808\n10767 46192\n17074 46242\n28275 41712\n19264 20967\n27468 36598\n30478 37607\n19681 29796\n16106 29067\n14470 25860\n3186 10499\n842 45766\n23586 31836\n18072 46559\n15157 36066\n1753 8863\n2906 10838\n21223 23915\n19664 31951\n20207 31815\n31868 41525\n10522 31443\n20600 48535\n9458 42600\n20959 45930\n16196 37831\n6136 38884\n26866 37161\n26572 26657\n24482 30450\n9048 39430\n1077 8001\n8653 16280\n487 19182\n18778 23800\n3485 42122\n3788 43349\n6844 15597\n42514 42819\n24068 41601\n3894 25588\n10564 44494\n26045 26561\n16523 31265\n5139 18273\n33395 34742\n11835 22088\n22068 26581\n15698 23768\n4509 38041\n16355 20190\n24186 42122\n39475 43823\n32641 40564\n22016 44767\n35498 46522\n34561 39154\n10171 17227\n9114 17123\n746 11473\n14500 40302\n31261 40095\n7565 12189\n35269 35625\n16889 36609\n10619 12921\n4311 17280\n7187 35209\n26511 40570\n17433 36325\n31332 35154\n1453 30025\n8045 15835\n18730 24404\n9259 41058\n18249 26341\n24134 44641\n17102 22521\n14043 20744\n29519 31757\n4191 44206\n8 5446\n6989 16863\n25759 40822\n5793 33391\n20155 22179\n7267 25458\n18577 34165\n25583 28646\n2109 34044\n13084 25414\n13262 20926\n2430 28730\n35072 43452\n33440 47028\n10335 19662\n11284 17332\n7984 9882\n30059 30824\n34822 42920\n894 8077\n13684 28997\n16151 24703\n10192 11506\n19199 42778\n1158 15038\n23097 40712\n1238 36703\n32339 45323\n6469 32967\n26498 43430\n14052 39212\n28089 30913\n6724 21840\n7094 44580\n33949 43518\n9669 18874\n5492 42561\n18639 41466\n7554 29522\n2402 5330\n13637 20640\n19838 21221\n7677 28946\n25018 32555\n27316 33891\n192 33112\n16951 38346\n9889 31159\n18912 29689\n14822 24246\n37267 47912\n6465 44463\n37329 38251\n15276 20843\n19192 22897\n13401 33822\n2652 36116\n34519 34761\n11401 35616\n7908 19756\n7474 20661\n32886 39286\n3083 14123\n4741 14627\n12338 45179\n3929 8157\n579 23984\n385 25397\n3749 44985\n16691 24629\n35565 40252\n29816 30697\n32852 40673\n16676 41742\n20885 42071\n16238 27587\n548 32403\n6224 45305\n17779 45622\n13185 26892\n31955 40121\n8065 47056\n15321 29390\n20013 31974\n26255 42438\n4541 32189\n30279 44046\n14135 32188\n20115 24744\n14446 42692\n9193 35057\n11226 15808\n1155 28302\n10840 16884\n13354 15248\n1126 3704\n17691 40642\n12480 31742\n15695 46786\n20385 46383\n355 22114\n18899 24587\n19132 19381\n16228 28157\n12332 17182\n13110 47776\n18830 36255\n24033 33608\n15258 42760\n3304 28188\n3638 47802\n22389 31497\n16051 24066\n5428 39808\n19525 38354\n5920 9482\n10686 48365\n1917 8695\n15710 46383\n12967 22393\n43436 46148\n36394 44376\n27356 42522\n33029 33402\n37673 48037\n3759 22852\n19040 19770\n3379 19673\n2640 23536\n11340 32268\n24226 30317\n31559 34292\n20537 25299\n18563 31659\n5799 14560\n7706 15370\n1691 42736\n23404 24877\n4774 31132\n7347 15828\n25320 35858\n13754 16294\n7707 27434\n34913 40757\n12261 12946\n8590 45010\n15448 37520\n33235 33421\n8787 32082\n3917 12452\n20004 23779\n21998 38001\n22527 25086\n9224 48322\n20326 39516\n1118 48085\n21338 35517\n34428 47274\n20305 23174\n35402 43725\n21180 31560\n1948 6952\n5058 38679\n24313 45451\n19056 32517\n4581 33416\n15107 29977\n18975 34515\n29145 37828\n28231 41997\n1298 3167\n1259 47082\n5326 13908\n20474 39075\n31681 40090\n2959 34780\n5648 27103\n11475 25429\n9258 17773\n2830 44987\n1802 13007\n24877 28012\n1717 16513\n3633 28705\n13594 30958\n9150 39022\n35273 40735\n3831 29210\n11586 30028\n13680 34320\n10612 25900\n3190 32555\n18065 30702\n19822 31916\n4445 17238\n17556 17929\n4422 28252\n41274 42183\n4322 28221\n16742 34605\n16804 48576\n15914 43099\n1348 10918\n16763 28646\n41791 44318\n126 34997\n2358 35619\n9449 21699\n8990 41762\n18843 44074\n9511 12062\n20520 34740\n8712 46257\n398 8334\n13753 44996\n17500 28200\n12120 24914\n19067 31058\n36025 40846\n16147 23096\n17350 20780\n43041 43400\n2356 34634\n29519 47030\n4221 40721\n36610 39390\n27070 41456\n26561 27343\n28346 33719\n25847 29461\n7164 17119\n15458 35259\n18860 24119\n1604 5086\n38614 39096\n3005 4371\n4043 22523\n33580 43088\n29616 41736\n14430 37495\n33447 35146\n11883 27511\n8120 16001\n16078 34426\n19662 35996\n9959 47360\n4138 31864\n7170 36869\n9700 27779\n15729 39131\n7222 40257\n5754 27960\n9488 45316\n47066 47952\n13330 40038\n24728 38239\n22885 33969\n8580 26562\n2245 45459\n14708 44600\n10607 29300\n8654 25853\n6775 24725\n10731 21254\n19837 35089\n30921 32305\n304 593\n38177 47268\n5258 48185\n26429 46603\n1501 30137\n26957 38025\n18905 33838\n15630 33580\n1243 30450\n4918 36893\n5367 19267\n40683 42797\n10028 17414\n6998 21441\n27919 44509\n33913 37710\n15647 20040\n42359 46327\n31847 44250\n14461 31846\n5974 29482\n17300 30756\n10800 37727\n19245 35537\n22709 34166\n1645 6458\n10615 43744\n13822 26709\n38645 41795\n38558 45621\n596 7217\n15702 30305\n18418 33356\n32409 33510\n7677 43563\n2788 12206\n12094 19366\n39069 47749\n6178 35915\n33359 33921\n5635 36584\n30634 43115\n18696 32854\n28693 29987\n590 47952\n34128 47380\n22238 24560\n2298 14813\n13070 35852\n5902 30212\n2960 34201\n2406 25978\n32087 46077\n16744 34693\n6611 10952\n13738 36178\n2571 31831\n2083 24721\n3635 28550\n15088 15501\n21847 35901\n9794 15104\n12818 22420\n26012 40192\n26976 43235\n10490 37450\n16414 27699\n14462 31971\n31705 38023\n12409 25182\n17789 32200\n4939 12475\n5278 37966\n12448 24962\n7515 22181\n18877 28250\n734 23373\n16435 47757\n20304 38248\n16377 31996\n39468 43182\n7009 17909\n243 5208\n29396 40693\n7698 29985\n36959 41992\n17302 41239\n25617 47728\n30259 42957\n43777 45778\n21417 45455\n3794 36519\n10909 46665\n10667 36403\n20118 24790\n28160 33752\n10894 29541\n24242 24492\n1189 36530\n44095 46029\n30738 37024\n20835 38944\n14503 18315\n10639 24804\n23454 47954\n32773 36719\n16892 21342\n15546 19905\n20847 44346\n21874 24834\n3116 40771\n2318 22345\n25690 36738\n6040 43101\n20536 25326\n10800 10961\n14002 42189\n1916 11819\n3173 42165\n7619 47998\n5018 26211\n4225 8961\n20901 30465\n12862 33724\n1839 11196\n4641 21564\n12848 40571\n6569 27133\n19890 31591\n9419 12995\n3801 32520\n14556 31510\n9997 28244\n23079 43731\n33365 43920\n17864 27343\n10858 24881\n9058 29119\n14062 47264\n37242 42841\n8832 42552\n35791 40229\n11004 24605\n3732 30221\n21271 25701\n15846 39930\n10057 23239\n8392 8879\n12756 23112\n16695 42324\n31096 42630\n14943 27531\n24614 34838\n10023 23511\n1575 29503\n9577 20996\n7721 15337\n648 48662\n8297 42323\n10683 27123\n916 25456\n14195 36564\n7003 36141\n16948 30904\n13910 36998\n19934 44750\n32275 34359\n28384 32921\n6482 10676\n2290 46981\n2804 48426\n31611 32727\n8889 48238\n9451 33116\n7870 14317\n23489 41936\n23856 33699\n18654 32102\n2091 17537\n9897 38533\n19206 33938\n35141 45413\n10117 30690\n298 48604\n1049 41030\n9001 47278\n9557 42154\n21045 39606\n8823 29986\n288 16456\n15131 27067\n39765 41182\n12349 40173\n36377 44020\n536 45948\n2376 34810\n3954 37548\n7923 35898\n17314 42101\n31513 33475\n34167 46640\n11876 42865\n10686 12198\n9999 15718\n19672 36080\n12973 24564\n16789 19925\n17798 32141\n3811 29432\n16324 44602\n39018 43026\n30201 46374\n46543 47466\n5052 12692\n5782 29623\n6742 21096\n23206 35830\n15915 38449\n4128 12553\n16969 18928\n7700 24772\n76 244\n24455 30238\n5610 43137\n18115 22993\n25938 28262\n9631 47069\n16547 35547\n1376 21854\n1654 7703\n19637 40022\n8916 21862\n813 28763\n26718 30192\n16495 26132\n21940 28189\n30211 31850\n13273 47222\n43805 47293\n19200 24010\n22057 47186\n12958 19946\n4963 9952\n7653 16091\n22316 28028\n23545 40602\n3756 40278\n30023 35732\n19059 45977\n40559 48048\n8036 15673\n15638 23034\n26099 34093\n32244 41559\n15290 42033\n29107 39736\n26524 45673\n5283 35262\n26518 37271\n23775 31902\n27100 36541\n26387 40255\n24768 33094\n8514 37493\n11538 38708\n25642 36709\n38211 42035\n35607 36006\n36712 39544\n4058 37746\n21712 25975\n21935 39038\n4221 11052\n16097 32510\n5927 12204\n36081 44185\n792 5734\n1424 19900\n16467 32628\n33436 33703\n13974 39987\n17379 26583\n12249 40115\n26421 37514\n23164 45635\n10177 17454\n3162 12202\n25923 44502\n10154 30887\n6891 31972\n21796 42408\n27829 47981\n25839 35751\n16759 25646\n187 8748\n21506 35054\n18277 42015\n4319 17158\n18840 34918\n7436 24146\n17053 33450\n31131 43650\n20357 30363\n8497 37752\n15889 32043\n13763 42035\n30460 34281\n18786 26889\n26801 32729\n3326 28907\n32432 32482\n29687 30949\n15782 43965\n13429 24717\n18000 46798\n6652 21017\n29660 44682\n5198 16934\n6210 10019\n14721 16916\n29868 47887\n9564 41533\n23221 29964\n27129 33427\n24991 36637\n4809 35809\n2699 17900\n23474 36247\n25812 34727\n12721 18627\n23336 41910\n1399 25299\n10761 11450\n11262 44544\n3838 13486\n19641 39607\n12455 18078\n33235 46111\n6373 23077\n12025 23013\n198 19447\n12008 24466\n27734 42359\n1484 25165\n16504 48156\n4643 17196\n21140 37464\n10832 19612\n4312 36155\n15525 31231\n9102 42237\n15856 48383\n4730 36068\n12694 35711\n14811 45519\n32279 45120\n16506 38587\n12790 20965\n4123 47587\n1692 3147\n27969 38634\n36089 43744\n3221 12799\n11130 32811\n8974 15610\n25754 40513\n16332 40201\n12478 27542\n29952 31317\n20599 47436\n5182 43766\n26272 39080\n14486 22469\n9325 26556\n10339 10473\n31630 46345\n24271 32953\n15977 22036\n1210 8128\n23978 32528\n1164 25806\n17764 31488\n11300 42986\n12845 43069\n1040 34481\n7373 39928\n6483 45036\n3687 37527\n9886 21369\n27261 47858\n24831 40647\n923 38532\n41764 42973\n37500 43942\n15564 37995\n183 17121\n10805 43022\n16370 30790\n23203 31744\n913 37550\n10534 39707\n28138 47178\n9553 18242\n33772 48099\n11464 41691\n3294 20807\n19720 34299\n24849 36951\n30838 42881\n21875 32913\n3594 24734\n27126 27917\n8301 45306\n13614 33744\n17898 29529\n1965 37705\n7458 7659\n6779 15739\n17572 35106\n4903 31423\n11542 28988\n9744 46451\n17377 38219\n11320 40351\n14475 20547\n36409 43491\n41530 47853\n31169 37853\n14354 27771\n13100 26094\n12554 18338\n5696 13367\n12612 47853\n13108 43714\n13866 21387\n8166 27753\n30666 33863\n17676 22478\n269 45624\n18283 34997\n11937 27714\n27090 38212\n20292 32382\n35747 48229\n34362 43581\n8620 19933\n14859 26281\n31758 32909\n27246 29316\n6550 27260\n2625 44786\n35601 35936\n4798 24630\n12438 48671\n10664 22958\n8546 36646\n4698 17564\n23344 32258\n12519 27856\n20891 38057\n13896 17259\n18074 21578\n5850 43324\n2502 28346\n24867 28149\n6593 26273\n38390 46270\n12894 26527\n2788 17033\n19102 36404\n14504 22591\n5404 14254\n7073 34893\n1348 40452\n8392 21617\n41151 46485\n27026 40311\n39577 48455\n22328 32995\n17550 26372\n2017 43860\n2090 8632\n21963 47944\n16804 45702\n16490 48332\n30822 45731\n6472 39660\n36059 44165\n15448 44569\n4768 45687\n39176 46817\n9155 47089\n4285 14877\n17776 27258\n3451 42431\n5043 29285\n23804 46336\n5130 6091\n18915 46993\n2324 47833\n11719 34798\n27933 42685\n4566 8313\n15795 29409\n4732 25216\n19616 42893\n8799 31134\n16266 42222\n22103 22777\n17880 38260\n6789 17133\n4441 6486\n28231 42542\n1512 36279\n9263 47873\n9910 16210\n20800 30497\n7217 29901\n16015 41755\n6145 17549\n18738 35955\n13630 30052\n4950 5293\n22253 26312\n4067 40578\n23340 30674\n20326 26968\n24198 39465\n4471 46093\n7446 41792\n1959 6222\n16438 25572\n11946 42070\n19474 43960\n12696 31977\n28755 36695\n4258 31647\n16231 35598\n13203 48168\n979 16277\n33657 43637\n2670 24684\n1303 45038\n3036 3711\n1750 15855\n23364 31153\n39141 46625\n184 2580\n20962 48519\n10510 47447\n20029 45997\n1338 25026\n35881 42142\n27503 29386\n20575 48374\n9200 21941\n14296 28244\n36485 46959\n7836 39229\n23871 44273\n13162 20432\n21504 45601\n25040 30160\n11953 32097\n9817 33877\n13989 35082\n8093 47805\n11652 12075\n1591 6378\n37594 44107\n1014 24163\n30011 37905\n6521 48535\n7700 13138\n3286 21926\n28220 44958\n23690 33232\n11525 21749\n5709 22316\n2471 3259\n13743 25841\n24597 41190\n11174 48337\n4607 8637\n21488 29829\n6509 26231\n31128 39741\n13982 27297\n6096 45276\n42764 48115\n7863 15402\n7619 42932\n21534 40963\n13708 27817\n9440 35991\n26234 41913\n2887 33785\n5522 7007\n3880 34128\n20653 27577\n361 9224\n39388 40155\n29435 43339\n14967 29805\n1892 34567\n29390 31964\n14848 41990\n26715 32775\n3163 45031\n7249 36598\n8481 9264\n11003 19633\n12354 28684\n3767 13185\n11365 30004\n23965 43430\n6788 8164\n7870 30407\n47 45276\n9210 36942\n11977 37128\n18432 27890\n21399 30166\n23804 31702\n1687 27659\n27413 44025\n16286 30651\n8195 40623\n8244 30097\n7109 48223\n16555 23437\n28665 42991\n12571 29504\n3740 43829\n27631 30154\n5648 12142\n22822 41737\n14585 33160\n24863 24894\n14982 19933\n3435 21748\n4413 14370\n27063 37302\n47490 48358\n16971 27943\n34959 41752\n22830 43699\n31621 31694\n23774 36503\n7620 22751\n30887 46459\n17369 39828\n8332 41131\n10647 38410\n9419 29102\n23894 38369\n43239 45194\n1218 11380\n12818 38953\n43949 47544\n10378 22029\n18865 38846\n7572 44977\n26797 42677\n10959 23450\n16131 37556\n22420 30101\n16917 20325\n4633 46579\n16143 20469\n1918 41009\n7142 26040\n19046 23812\n22380 30047\n22167 36299\n31462 33218\n1754 23175\n10875 28510\n2673 4575\n22281 41834\n2848 5634\n31214 42179\n4463 35696\n8830 42150\n21245 39602\n31781 40426\n5409 38826\n11707 32309\n6074 10401\n36455 37596\n35032 48406\n23401 25728\n20678 31613\n3424 23726\n9066 9846\n541 37904\n5217 39717\n13873 14431\n31926 46724\n9921 30515\n4152 32872\n4498 34202\n1080 32827\n7645 14299\n36677 46857\n19266 45953\n28402 43046\n1101 11577\n44241 44523\n40477 41845\n28145 47172\n25987 27203\n16151 29204\n31117 41757\n11445 37971\n46458 46590\n27042 41945\n1038 41171\n4553 43306\n27574 48603\n10556 34060\n10811 48594\n22016 47801\n8412 20486\n25280 36895\n11609 18708\n41648 46406\n36493 40823\n3692 28060\n33727 42873\n2794 42112\n13603 28543\n1328 18211\n26349 44857\n23990 40353\n38469 40057\n18466 34781\n15991 19036\n11347 47407\n6177 47594\n31697 48250\n672 1536\n20520 33061\n22774 26883\n25115 33334\n41074 41354\n23242 39051\n37822 39114\n3430 46208\n25604 40779\n18242 19719\n23512 40142\n20422 22737\n3609 40633\n21870 31836\n17561 25769\n8667 46306\n949 4030\n16688 24346\n1943 22870\n39920 42462\n18161 37949\n20493 22439\n8764 45476\n2076 3369\n35523 45324\n14530 17358\n14673 19037\n16489 25981\n2 31119\n18582 24031\n8639 43969\n37618 47762\n2260 7849\n14398 47570\n24008 31168\n8783 10750\n3698 9388\n21416 39743\n34039 44321\n6439 10342\n1664 43421\n43936 46510\n11919 30224\n12068 31257\n16312 44669\n35431 42401\n17707 31276\n9151 43614\n39130 48527\n15240 38932\n26631 44464\n9456 11902\n9033 25976\n23252 47184\n22585 37383\n40949 48578\n15033 19220\n26483 30521\n16841 19535\n1863 17199\n25241 45077\n6308 26085\n9023 25485\n7955 20976\n12776 33380\n12029 41484\n20856 28580\n1033 14705\n29647 36606\n28861 34687\n7471 17162\n5172 17787\n41117 47504\n40451 44417\n38277 43212\n1274 44042\n39290 42237\n24457 48453\n6360 8551\n11545 28950\n186 9179\n13277 14189\n30461 31577\n10610 18976\n11922 14491\n978 28997\n41049 47724\n2718 3133\n10258 45661\n7318 13064\n4538 47543\n123 7612\n24768 46696\n3868 27251\n31722 43286\n21062 22167\n8457 32323\n32131 45684\n14784 41649\n39610 46622\n10025 31609\n24747 29970\n24056 47887\n2675 20859\n16737 26727\n13899 47779\n6609 17133\n28425 40900\n25768 26701\n2154 32391\n33010 36639\n26121 26759\n26424 29695\n18148 37580\n1125 7625\n13291 37888\n1282 45652\n18380 47312\n5163 20688\n1224 36204\n45372 48169\n35614 38119\n14652 30147\n10501 20023\n5087 39174\n2812 30442\n25003 39970\n25761 27386\n6506 10002\n14610 38704\n15585 47636\n24059 35846\n2432 23992\n24799 36382\n12234 13004\n23617 33440\n19494 46536\n20006 35570\n2016 33840\n42747 45366\n20970 40957\n26971 46264\n41653 45940\n18128 26334\n6846 19690\n7811 29708\n3938 39170\n19133 34762\n15077 22204\n9066 41251\n14281 41635\n33756 48470\n106 37755\n6171 48589\n15766 44196\n4326 44797\n25242 44942\n763 34936\n16865 19383\n11845 33220\n9292 45285\n29287 46181\n39832 45056\n8784 37459\n585 22360\n10203 42081\n4809 46580\n21374 46114\n24594 47091\n3627 8083\n34873 39254\n7172 21929\n1826 3758\n20022 28242\n36710 48081\n2242 38000\n8977 30606\n31641 37506\n19792 47392\n30479 34117\n33655 44033\n22830 35607\n33154 46312\n15865 44328\n18859 39423\n41475 42654\n42874 46314\n40651 46828\n3958 19132\n7748 11556\n18919 34769\n46730 47613\n2386 2920\n39150 47994\n5549 12709\n4946 9884\n21025 36306\n5374 33397\n34613 38838\n21461 23955\n23490 35741\n12822 19431\n1240 12324\n42180 46542\n3486 18992\n2475 18303\n1707 17064\n23250 27434\n36553 39074\n13192 48327\n2822 10727\n17144 29034\n14460 27198\n44916 45406\n32077 41464\n8597 35729\n12752 23138\n9387 43170\n27036 32020\n26206 33683\n32610 45454\n30362 36383\n14270 47573\n33183 41525\n1704 32087\n5534 21821\n17839 32661\n28320 40307\n1518 42384\n8969 13301\n11551 11856\n10409 16508\n9567 26097\n13892 34549\n26917 29625\n4312 47791\n18870 31913\n4266 22927\n18360 42479\n28510 37433\n6513 6592\n34835 38704\n15097 38551\n27303 38155\n6851 13548\n19693 47561\n28107 32376\n24715 34331\n7191 36223\n6388 7313\n18271 21034\n3753 31149\n13314 28585\n18000 26236\n26711 35894\n1492 29857\n2338 48273\n11699 15664\n11605 33020\n35605 45891\n6597 23094\n20299 34110\n19043 32489\n5981 25950\n9159 32281\n30271 44365\n27360 34956\n29073 33998\n8247 39244\n7930 10054\n30522 39142\n22349 41328\n9401 34349\n18821 35145\n38463 39540\n27150 37536\n20691 39742\n18660 18673\n25311 42244\n19857 32349\n21630 29284\n14904 27556\n45830 48454\n39892 40104\n12450 35928\n7798 34430\n33566 34649\n32661 33057\n934 23918\n9811 17218\n30116 33557\n4180 12306\n19653 33235\n12957 34840\n29541 42745\n20442 39750\n32076 35218\n23619 31056\n8872 40650\n2715 48088\n7205 45731\n15693 28920\n17111 36272\n5855 12780\n14026 34807\n41481 41882\n3713 18526\n6652 30153\n29252 45958\n19483 37678\n5953 20904\n12229 37308\n5186 41378\n5880 6900\n30716 35824\n17072 27242\n6232 44517\n25560 34704\n670 19096\n69 39386\n870 7870\n28928 44957\n28725 38348\n17851 47530\n39758 46637\n8007 28019\n4457 24831\n1243 45877\n1002 10098\n29115 31969\n15597 20446\n27210 29276\n7392 12167\n23877 38122\n12085 35134\n24973 43456\n28940 36663\n31135 39082\n10971 17257\n12351 26450\n18412 32851\n15726 40664\n4523 31834\n7926 11607\n1256 28259\n16761 37086\n5512 26764\n9551 23908\n511 44809\n7546 47210\n9192 42997\n37626 38363\n30848 37762\n681 19110\n2808 42770\n12163 48374\n12931 24184\n41253 43049\n8768 23422\n30161 38031\n14619 29982\n8962 35836\n8139 20554\n38017 42251\n3337 28681\n9492 10006\n33321 37505\n16297 19086\n36770 41606\n13871 22189\n30479 40169\n32103 42263\n1305 14012\n4843 31310\n28844 40793\n2524 36276\n8249 20280\n4406 20556\n4983 17814\n1596 22567\n23119 42362\n35064 41716\n656 38509\n7008 19657\n41336 47042\n26978 39549\n5698 26722\n7915 22345\n26414 48388\n36018 41298\n13997 44835\n32437 46233\n30952 36846\n31207 43616\n1436 25744\n17662 26817\n33820 34434\n26691 30762\n38261 38469\n13149 15472\n1512 44752\n41408 46920\n18091 31033\n4242 23396\n33055 47443\n6198 11611\n12843 32853\n11467 20932\n26431 48513\n14788 22450\n38284 41379\n240 39333\n24177 47829\n32590 40811\n3294 45991\n28540 32515\n5064 42951\n12025 15756\n18818 37158\n8684 11674\n9168 32718\n10066 19678\n14468 45107\n35028 38200\n18697 25869\n11027 25917\n33219 35527\n29396 48081\n10260 35086\n7437 18847\n11280 36435\n23045 43889\n24356 47125\n34883 38573\n5411 34133\n12240 36953\n17403 29649\n14407 25145\n38424 39323\n20481 46698\n18101 37330\n6629 16037\n16153 41172\n12153 14846\n24146 47489\n30409 42192\n25101 30078\n45459 46424\n23074 28438\n21730 32095\n22977 47237\n7921 42780\n4402 35526\n2622 10115\n20478 22471\n39508 47671\n19724 23765\n10886 25483\n11706 37296\n6082 9458\n24798 30620\n13526 16312\n20329 34212\n2071 30331\n30032 43399\n19432 26670\n2083 16395\n17803 31706\n28955 37258\n19664 48442\n28647 30531\n10952 13626\n9800 10007\n24689 31047\n34100 40358\n9992 25011\n12613 44873\n3163 22270\n479 29445\n9853 46371\n1534 18737\n34643 40411\n6354 16886\n39814 44061\n34212 39054\n19273 33699\n13104 17172\n13232 38085\n14958 42782\n33249 38080\n12572 17071\n25469 42783\n42927 46725\n10542 13843\n9636 46302\n1431 1778\n805 25011\n32539 32796\n11882 48291\n629 13141\n20915 39229\n30801 36734\n10762 18188\n1854 6219\n8480 42198\n13012 44081\n27015 40282\n9580 36698\n14438 32920\n46541 48350\n34937 48374\n9336 46233\n14664 17090\n16561 19091\n4321 31860\n27582 28587\n11782 39475\n1652 28772\n4321 31622\n7785 25953\n40620 45341\n25179 44140\n5914 36819\n6892 29561\n13918 15411\n3084 11926\n16882 39371\n70 24521\n24991 46096\n10491 34564\n6356 15338\n12212 25670\n20776 46507\n6008 37653\n8811 26149\n6514 29061\n4392 35096\n20651 31032\n8556 36811\n16725 47106\n24853 41487\n6348 6371\n16217 37849\n33525 48215\n22669 30189\n19711 25434\n24964 47870\n9818 33319\n19320 32565\n37117 40318\n9051 48425\n6111 30881\n18355 19804\n11301 38249\n30489 35145\n42172 44253\n687 34877\n31880 41673\n30242 34411\n9801 46697\n13949 27454\n5974 47962\n18754 24883\n8251 42395\n8114 33313\n4065 39022\n9136 14110\n19879 45859\n5141 34790\n28428 47104\n6922 23711\n5972 23834\n8076 29068\n30539 46910\n18785 47031\n32899 38486\n4067 11268\n10702 36789\n41578 43844\n25389 46751\n1216 26782\n565 42049\n4702 45734\n9382 47477\n20950 36309\n15830 41996\n18278 35589\n35092 43341\n2525 34295\n36032 38954\n43399 46790\n2579 31127\n1934 28031\n4306 28421\n13735 41061\n12387 19533\n6641 36548\n29642 40316\n9518 34637\n1093 46471\n6046 7425\n17187 31904\n13259 34526\n26527 45039\n2102 23719\n19104 38287\n7218 45857\n16681 36862\n25156 38805\n10444 16640\n29349 39270\n4007 9350\n23812 35507\n11451 24075\n31509 43804\n4774 6225\n29750 36339\n22229 46040\n8576 41459\n3527 23484\n18157 45635\n38625 47323\n40055 47651\n31577 33184\n24089 34459\n25283 38578\n27680 30568\n7922 23760\n30835 41301\n26895 29049\n23703 35416\n8010 16307\n1698 48133\n16709 44985\n31881 46340\n13631 17712\n10337 40800\n14063 28610\n31705 36474\n4405 7253\n3069 6213\n21800 48268\n16484 33987\n1240 15643\n34670 44945\n3668 25555\n18348 25801\n253 28792\n11497 22851\n18943 30402\n23234 27633\n1187 23383\n444 46077\n12763 34680\n27200 38956\n5340 24610\n5858 47832\n1917 28046\n10717 29559\n4663 7489\n16413 34253\n15616 36861\n6390 7483\n19150 43823\n24396 41862\n11832 33679\n13508 47346\n35729 37257\n21511 28994\n11487 29626\n22044 38769\n25280 27931\n36448 40000\n33023 33224\n13981 27773\n33275 37940\n35767 43862\n6453 18821\n26235 46748\n6611 39679\n10401 24743\n6737 39918\n7942 22956\n7262 18888\n43076 47751\n16909 44766\n19525 31070\n21034 46687\n12642 46720\n34995 40664\n25309 35847\n42522 44361\n20591 43030\n2241 10279\n3170 24686\n8479 48198\n4404 18307\n1159 34366\n19543 24805\n39054 45242\n8219 23127\n37473 38311\n16057 24520\n661 47586\n18473 41630\n16720 42073\n15925 47703\n12109 17685\n27391 36419\n37871 45450\n11890 32328\n10238 14425\n4046 26274\n788 14171\n16721 24354\n25643 41403\n5520 41676\n11456 32352\n19651 25947\n1673 45605\n5164 21057\n23841 35146\n3709 18572\n3804 44969\n5330 32151\n5485 20190\n34445 35497\n3884 33463\n5174 22871\n1670 13910\n23243 41884\n12869 19329\n7553 35804\n17029 41260\n3816 15972\n2338 18356\n405 13735\n13559 28626\n9485 22724\n43300 46689\n37990 46500\n29958 34665\n31910 44515\n10016 21875\n27555 45276\n2824 8894\n4337 36746\n179 24206\n42183 46604\n22611 29408\n2125 29746\n23241 47367\n18629 47047\n1270 20027\n4393 37691\n11666 48069\n1762 28988\n8305 47016\n1492 29160\n8471 11491\n28704 36130\n27845 38429\n20950 45460\n8262 37757\n37481 46751\n21067 43908\n2036 36332\n12081 38857\n6954 11402\n28734 28891\n12408 35632\n25947 27048\n8682 48389\n6992 24346\n17058 18307\n3025 48268\n36670 38418\n21245 43754\n14451 21735\n15819 24063\n37860 48147\n18547 28126\n4702 6654\n5880 27061\n2751 33880\n17887 44004\n11648 45957\n15288 17407\n14632 42924\n7272 17821\n17156 38730\n3994 20541\n29231 38280\n31114 39466\n26783 30692\n16298 27113\n8337 10494\n22078 42428\n2952 13811\n6086 19307\n1876 28534\n23269 32216\n730 25164\n11852 17926\n13488 22257\n3138 43960\n7429 17050\n31125 33871\n17119 44714\n22956 45303\n16765 29385\n23853 42055\n8397 44237\n2379 16287\n13007 44715\n11461 14699\n29168 40720\n4543 40363\n39480 42697\n27070 41153\n15747 43427\n4914 32761\n1474 41650\n12431 48670\n13500 28558\n13491 34043\n8397 12646\n21035 21687\n9112 30446\n31647 43903\n2694 29407\n2924 11447\n6517 42751\n27962 42866\n8497 20188\n3910 34281\n24538 31455\n28635 45601\n15489 40161\n13090 40282\n440 15624\n12972 35949\n503 37602\n4551 19495\n29359 35455\n18283 44554\n951 18428\n5701 21774\n29142 44595\n1400 28418\n25668 30358\n1225 9507\n4872 16273\n16739 35228\n46211 46588\n10539 13992\n44483 45689\n33331 43661\n36400 39159\n21517 26879\n29329 46205\n2546 25427\n32090 34911\n13644 21805\n26325 47999\n27226 33319\n17870 18850\n7913 11808\n24487 30692\n8806 35501\n21293 26241\n18561 23600\n14408 37192\n23013 33329\n18362 41969\n7122 45108\n1867 19686\n6292 12459\n7334 18194\n22529 24809\n15386 33055\n17348 23311\n6608 10152\n7326 34381\n13382 31756\n13855 24015\n18130 27509\n4526 42712\n26789 35781\n29520 45119\n923 37642\n1682 12994\n22892 46973\n5362 6007\n36542 45340\n12652 37390\n21578 26679\n6204 45130\n5224 47439\n1492 15463\n17086 43691\n1247 1824\n3981 34353\n8111 29550\n12717 32845\n5788 46315\n2023 12094\n27446 42862\n20454 48348\n6571 10154\n19470 44830\n25736 37252\n16252 48331\n3671 33821\n3797 35621\n23892 30662\n757 6293\n11904 25857\n8029 35990\n5769 41392\n139 27522\n2439 28030\n16858 24533\n3582 45706\n6754 34714\n1985 26980\n12660 29746\n20901 23162\n24977 29458\n3643 23897\n39713 47948\n19466 37949\n28249 32351\n20564 46725\n1807 2359\n24926 47869\n28309 37318\n24634 36244\n5140 11437\n10507 32471\n11369 38903\n13614 26737\n15610 48143\n8210 12946\n11756 44998\n15459 33847\n1845 22959\n23460 26382\n17612 46777\n13227 20284\n28948 34221\n9745 10272\n18851 25175\n35083 39211\n17266 36346\n33888 38105\n10627 35102\n17032 18759\n39413 44641\n21342 23174\n22208 31536\n9004 36992\n17157 30005\n25971 37786\n11199 35730\n36159 39841\n20855 30024\n33404 41604\n38086 41429\n26239 33652\n33172 41071\n9163 38771\n3865 17296\n15610 22788\n5955 25317\n3466 43049\n815 45574\n4945 31576\n4126 25647\n2999 25219\n42001 43141\n18172 19842\n7200 14023\n8600 44448\n14608 44960\n12658 15996\n15070 22261\n13900 28807\n12151 24968\n6150 9318\n6674 40118\n6663 13143\n29259 35122\n10937 13607\n7433 44337\n121 16361\n1838 28487\n35225 37800\n11475 32308\n7535 13052\n26515 28748\n38813 48086\n17892 25768\n20852 34460\n18945 22744\n3308 34022\n31939 37922\n3793 48509\n1448 48277\n16870 21898\n21488 40337\n13912 29804\n6242 18397\n15856 33467\n9242 19946\n34521 36477\n18480 45731\n12177 24420\n2921 23570\n5800 43956\n14415 25840\n76 34527\n25401 37789\n2828 45516\n20969 23131\n5276 37207\n24697 35170\n16908 37060\n11861 34837\n871 16059\n3781 18391\n22402 32659\n42084 43547\n36180 40984\n644 17132\n1542 12470\n25130 41786\n8032 10771\n2961 34062\n11496 12877\n18290 27552\n15055 20704\n15477 38916\n33876 41785\n4222 31375\n21064 28865\n2802 48145\n12952 47908\n5975 34172\n16231 27209\n15279 36088\n4068 12858\n12876 45952\n13436 20723\n37662 38880\n29933 46396\n13325 30890\n18359 22423\n4232 40789\n23414 27322\n28983 33198\n1168 2606\n24916 30454\n45792 48098\n7686 40212\n8333 34086\n30913 41952\n19764 30984\n27039 46865\n1576 27874\n44719 46698\n6396 20565\n28499 43459\n10958 18323\n17145 45923\n15367 43445\n19545 33936\n35117 36547\n22404 23900\n9292 43441\n36070 38131\n4721 43184\n9655 45317\n5476 33691\n5030 7031\n14277 26468\n26727 32268\n10835 21021\n5247 7068\n8299 46640\n2502 13259\n15825 35998\n26337 39458\n11788 11812\n4487 35915\n8829 29204\n13565 22258\n3858 40066\n2919 28607\n21605 33687\n17230 27176\n8917 9235\n1293 10787\n3038 13394\n1005 38167\n23924 42029\n603 9198\n1601 26660\n17001 25519\n17022 43672\n10749 18810\n36630 43668\n11146 27290\n36555 45676\n3732 17321\n32002 46308\n72 24167\n10335 30517\n2709 8251\n4148 18709\n16441 44508\n21790 25015\n12679 35519\n13741 42114\n18799 27275\n26355 47376\n10125 35082\n4316 46709\n18393 27534\n15892 44740\n11060 41314\n6535 40864\n6665 16419\n20936 38490\n1814 40152\n11473 28179\n30005 36932\n12727 22475\n7821 39851\n15725 31015\n21913 38804\n10148 16024\n15162 27098\n9391 36041\n23621 35299\n8824 32622\n3586 29600\n34810 41542\n1292 26011\n25546 28593\n25603 37419\n4263 21622\n5113 45962\n7642 44813\n19324 32692\n29259 46466\n25998 33670\n4092 21358\n1196 42353\n1771 45218\n17277 47723\n1627 3230\n2031 24878\n2582 5440\n31264 48287\n4386 11624\n11483 15376\n1741 44436\n13038 41414\n8891 19376\n16985 22554\n17576 26025\n152 38709\n3182 16268\n24427 43502\n1473 24428\n633 24013\n24073 46907\n38406 41240\n4756 45705\n12699 25493\n11690 19420\n2322 33053\n11239 11908\n33802 36298\n1931 33895\n18584 22567\n31034 40158\n35355 38511\n34317 42901\n12651 42805\n6745 32249\n5349 15749\n755 28856\n25976 31402\n17954 48141\n24448 31682\n4764 46328\n17076 40464\n21629 29675\n3726 30229\n25891 37947\n3739 11664\n39420 47210\n19775 24751\n15278 16081\n6610 40555\n25537 26375\n3021 12517\n26704 46902\n9119 16492\n22656 27909\n31157 41891\n31002 41955\n676 17931\n16559 47320\n22769 44821\n21163 24962\n21501 28025\n23799 25190\n5732 28538\n30036 32705\n6664 14168\n5835 46615\n8708 10085\n7424 41358\n15771 26860\n34643 38338\n5101 47806\n16716 47307\n21713 27485\n19015 20274\n3294 31144\n16336 22969\n20226 43932\n12663 26029\n13755 26002\n5467 45549\n1917 28697\n25619 39132\n35720 44761\n16661 36302\n13421 21731\n12783 43911\n19923 31152\n2647 27960\n9672 19509\n24442 28990\n7290 32109\n3384 23540\n8672 45975\n43624 44189\n22902 28462\n19156 30693\n25164 32792\n27177 29382\n21990 22654\n18468 22823\n3234 39022\n27002 28009\n10252 33189\n22581 39237\n21051 45168\n4653 8016\n17431 17737\n11184 37029\n21590 44141\n4614 17206\n30913 46611\n8693 35009\n1788 33482\n31057 42364\n38456 39160\n174 39808\n36497 43851\n29224 34548\n5409 18365\n10304 30653\n2650 14410\n39024 48542\n11842 13608\n30693 36072\n7698 25172\n27985 30338\n6713 18073\n2116 25299\n4240 39169\n23255 39141\n10557 39253\n5178 23078\n4284 30504\n34686 43220\n3504 35471\n31137 31235\n18199 30105\n18034 39081\n862 23493\n24311 30221\n37765 42327\n11758 38077\n27646 45697\n12911 43952\n21411 22456\n30252 48317\n5536 34284\n25015 27673\n5131 23230\n28025 45901\n39530 42291\n31540 47247\n24072 34516\n22394 45104\n15734 25081\n11747 24624\n4772 6778\n9264 32342\n13901 32085\n4892 27801\n15156 44756\n43803 45621\n12675 13393\n23839 40662\n41406 47623\n7316 18994\n10163 37014\n297 16331\n11698 30417\n4657 44396\n21880 27982\n19601 43017\n13717 40547\n21752 22677\n14808 23098\n26651 31864\n33744 40144\n18314 38158\n12730 15890\n16918 28178\n130 13177\n29458 47238\n24513 28688\n17237 35574\n33479 38753\n20062 46239\n6583 13236\n12655 20349\n26446 34271\n36265 47062\n6789 12770\n14322 31271\n47461 48381\n18520 24357\n9184 48569\n35395 37467\n5259 19926\n2026 20433\n11614 13373\n19982 26011\n11816 27909\n23785 44451\n42924 46514\n5681 39528\n5345 32625\n27932 46146\n16629 38755\n25123 44234\n826 7578\n23080 30726\n4834 6984\n8708 18055\n20519 42333\n10895 45692\n11431 23505\n14243 35279\n1433 47248\n5957 37603\n7328 21666\n36191 47007\n28104 33880\n32819 47222\n28775 37133\n8258 22185\n14758 18343\n8214 8470\n6701 43440\n23955 45868\n35854 39263\n13963 22233\n16724 39454\n18061 30486\n1585 11517\n43670 44106\n6586 43005\n8589 33639\n31777 33815\n4849 12777\n2843 9754\n352 14404\n7118 22459\n4441 42607\n10202 43427\n30605 46145\n39313 44971\n3759 19564\n1751 4886\n12995 39646\n41902 44936\n9329 47797\n16123 39775\n30284 45156\n12406 29932\n25557 32322\n18830 41679\n16125 40445\n40212 48099\n132 5047\n14502 17341\n4762 25267\n37288 37932\n12694 30507\n12419 16369\n16722 31501\n44625 48644\n21542 30310\n19132 28973\n8409 36566\n5766 19980\n14006 36571\n29602 32074\n30788 34877\n1506 2174\n11298 11745\n44423 44920\n16205 44962\n5205 35080\n13285 20130\n11399 33451\n17114 21721\n6822 28113\n4972 24057\n9374 41613\n2301 28483\n3310 40805\n14686 33001\n38009 45323\n13017 15221\n25510 31643\n14111 22015\n7450 7510\n21048 48300\n35416 40955\n34206 44105\n4819 24652\n17547 19391\n19224 40684\n28029 44386\n2038 15286\n5238 6521\n2243 22410\n1685 1792\n9916 13884\n10392 46497\n23141 24942\n16690 43896\n19687 26381\n6752 46262\n7709 12870\n42039 47262\n15669 17356\n16301 31868\n31410 40121\n2083 10603\n8906 17296\n16299 47225\n9892 19762\n20084 44834\n12016 41563\n46965 47238\n6660 7955\n5468 44356\n37602 47935\n19215 46628\n7960 30238\n4566 45737\n11943 45488\n4830 44391\n14550 24857\n21687 32319\n36927 43080\n277 34406\n15616 45739\n5179 43120\n16100 47725\n36589 41098\n11450 27359\n34712 47048\n7027 42530\n24643 26172\n36465 44376\n5083 41979\n1801 29283\n11903 25897\n22609 23559\n30064 38299\n28622 43279\n1017 14833\n8091 31446\n21530 42455\n29220 36165\n15835 16417\n42100 45763\n9022 30829\n1209 44944\n7772 13292\n543 42611\n24876 45145\n16400 37440\n18274 29660\n22946 47620\n14033 25088\n11934 26224\n7160 8774\n43297 45059\n19567 29712\n25570 31121\n3448 17076\n39738 45748\n38971 44279\n28282 44787\n12262 35172\n16097 25101\n20916 28954\n12487 13919\n1188 24721\n7304 18488\n5511 18970\n21506 34655\n32587 43874\n14764 31243\n20777 44242\n22365 46643\n2543 44070\n12822 42578\n20155 42696\n2953 6248\n15814 24532\n16512 38417\n7864 37827\n21763 31778\n8143 33170\n29808 40717\n19826 20317\n2784 37330\n42291 46845\n31115 43129\n16781 42743\n30065 35197\n5638 47669\n10370 20456\n32696 47444\n32973 39379\n4720 36197\n719 44412\n31986 39462\n13885 32712\n7726 34326\n20833 38719\n6640 29060\n481 31796\n23518 29631\n23647 26436\n19683 46646\n8376 34709\n24512 46143\n11110 42732\n5916 20190\n34330 42326\n2915 30291\n12390 44592\n12177 41811\n10268 12869\n18844 22943\n7059 32986\n3197 31626\n813 8372\n17356 33909\n45420 48248\n14396 25024\n24238 26724\n467 38158\n32519 42592\n7832 32286\n15362 19003\n19983 44283\n4007 8942\n14322 22040\n16159 24356\n1027 38226\n14673 31424\n28237 41510\n4549 25194\n10974 33963\n2491 10824\n12365 48566\n2937 21912\n4535 9526\n11250 39563\n29480 31875\n3227 19039\n798 34818\n11447 11668\n26123 47629\n3873 12839\n31460 35785\n18475 29795\n20407 41857\n17366 35439\n5704 46704\n11997 33096\n24750 28322\n15208 32296\n3720 29602\n7357 44431\n2620 7821\n14644 34708\n25604 41103\n32181 36264\n8270 27497\n30551 40998\n32133 37737\n29025 46908\n14072 27772\n21962 23756\n7853 48331\n39342 45298\n30252 44981\n20727 30124\n12156 44761\n39115 46965\n28359 30864\n2121 6897\n13315 21073\n8613 33586\n24550 42771\n43018 46857\n959 4443\n35079 37919\n28089 39266\n925 17471\n20251 26840\n3178 14855\n13504 32377\n30263 40838\n30906 44580\n36095 46210\n16636 42355\n6710 12960\n1875 22647\n31476 44772\n26060 41232\n26513 47966\n4090 40119\n19443 26762\n1050 20470\n12589 34336\n13327 19986\n7524 39258\n15900 37644\n5232 48065\n4932 31284\n9324 21372\n36712 45829\n24125 30922\n3660 24002\n3849 27229\n32990 39244\n5998 15174\n20744 32613\n3144 33917\n15497 37380\n14679 45827\n23412 44103\n9856 35285\n12569 23610\n17420 30293\n9584 27313\n2147 5019\n30556 39591\n3803 32093\n7772 25082\n4781 18614\n27486 37000\n13018 38263\n5349 19643\n19002 42144\n36860 39109\n13979 32095\n23535 42482\n38296 45333\n34120 39421\n969 32499\n11611 42231\n20169 34388\n6301 41526\n1102 39554\n28453 34188\n3292 40058\n28 37079\n36160 37854\n33784 34045\n26103 28749\n19119 30966\n9009 39614\n13073 47608\n11920 20622\n24581 45476\n27081 46910\n30232 37167\n27200 48184\n36155 43965\n4194 46862\n19191 23832\n14938 22400\n6126 37649\n19065 37556\n990 20598\n16024 34166\n31347 31504\n6419 31430\n261 21551\n18419 44255\n16700 38078\n19999 42521\n16062 30417\n9245 39044\n33104 40058\n27010 46894\n20563 33129\n8870 39500\n14515 43730\n35404 44715\n2330 16669\n4205 47111\n26935 40607\n26200 34417\n8129 13625\n20617 25824\n20621 40382\n29206 37604\n4474 39051\n2406 19877\n16664 20678\n1785 30792\n401 14073\n19599 33509\n17440 18250\n23463 44809\n17236 36253\n8530 14443\n1926 11796\n1567 7623\n12965 34651\n6800 31517\n19266 21262\n4010 45449\n22972 39410\n24094 42016\n28598 29945\n6527 10804\n3796 13561\n2321 34768\n16388 33231\n17283 22464\n40437 48516\n31070 32660\n6770 26767\n12673 48223\n17958 23630\n26603 41445\n7940 47557\n23317 25338\n2987 31200\n48610 48670\n26135 32233\n13946 36316\n5935 8071\n4071 15646\n29595 38533\n23128 36377\n6966 14628\n6875 25135\n30566 31244\n8695 32379\n9773 34538\n25686 27835\n30442 44968\n8902 25690\n15750 21713\n40406 41044\n34568 46094\n20198 26502\n31735 38303\n6351 39859\n28652 38862\n17872 22859\n11159 16763\n7278 23627\n1475 26064\n39281 42650\n15792 32979\n25408 33189\n30229 30739\n322 37316\n2220 26650\n7885 8004\n28970 29594\n41971 42314\n4062 36090\n7592 14969\n688 41640\n24451 43939\n20150 45507\n6084 32352\n39945 41363\n7406 39228\n7761 30037\n17792 18309\n2641 3773\n1890 44926\n2714 37407\n7095 8973\n27197 45152\n6249 19093\n31404 31466\n16532 23119\n24414 29297\n39615 41190\n11180 17544\n11148 31705\n21118 30433\n22064 33331\n13853 39823\n10070 15135\n36538 36920\n4907 10626\n24379 46887\n8826 22684\n22806 33031\n8115 15696\n28058 45748\n18985 26968\n21268 47043\n18235 33737\n21664 46390\n6019 39365\n8717 26741\n32507 33284\n12100 20088\n20803 47822\n46491 48208\n13518 36157\n17554 26391\n25962 46373\n584 36163\n7687 34524\n9520 34442\n20078 47603\n26913 29929\n11832 17086\n7750 40473\n13658 34557\n3272 31713\n36752 38551\n27810 42212\n3619 16730\n46110 46287\n6474 45114\n22604 44997\n1365 19399\n219 27870\n12687 32773\n7431 23435\n29941 47850\n34593 46954\n21362 32325\n32214 32346\n30481 36001\n38630 42910\n814 46711\n44316 46463\n10854 41519\n11078 32481\n12960 29870\n14816 19889\n41461 43514\n20090 26919\n19398 43109\n28240 43887\n1452 39756\n11851 48291\n26799 41199\n26889 38329\n17574 28825\n37237 45350\n17016 37803\n68 25053\n2265 12050\n359 9847\n11113 41704\n15896 34814\n7066 36075\n9192 36068\n20163 31692\n31035 47863\n11545 42597\n4009 6314\n4619 32283\n835 5845\n24909 36822\n14798 23347\n37588 39264\n10410 47403\n36341 36423\n7886 37665\n26866 28713\n43276 44237\n6865 30794\n21359 32700\n1729 40093\n4796 10652\n19378 20175\n16844 28234\n31635 33018\n18199 31197\n24985 44869\n5489 46845\n10383 44997\n5867 21612\n2709 22658\n9598 12007\n29436 45927\n36730 39808\n3704 11559\n9759 36780\n26581 28218\n9400 48437\n11125 41299\n4738 19273\n7223 8055\n2210 30874\n15884 19332\n27362 44656\n21331 37332\n8998 41033\n11864 21602\n17947 25473\n12698 46461\n17886 38534\n1582 15908\n9381 19878\n21985 24633\n855 31488\n30768 40566\n23219 47232\n16140 47659\n26159 43927\n255 34649\n37359 41721\n22267 29065\n10611 14859\n29194 45310\n6754 31629\n365 18518\n11416 44800\n20409 42709\n14120 38578\n17594 18488\n4391 38801\n29016 30362\n13737 35088\n29342 32073\n650 22036\n29859 44724\n11157 12498\n328 15945\n18599 46831\n11547 38629\n8721 41362\n4194 32403\n33550 45786\n17186 32858\n14068 18772\n14132 29350\n1278 40102\n29109 45174\n4035 4613\n7272 29830\n5725 9271\n22439 42905\n7880 13162\n8681 20552\n17759 35025\n9352 30242\n18609 27710\n21014 26803\n377 9943\n14787 22876\n29619 42112\n17947 37584\n16624 28292\n1935 45248\n6555 6603\n9616 46024\n30300 35236\n5715 32546\n15423 23710\n17566 22163\n4530 8957\n11176 39258\n37648 46344\n25123 31375\n1642 14693\n5429 12608\n1844 41430\n10524 29358\n7229 38256\n34204 39065\n21908 45915\n14500 43263\n40758 42131\n2474 8937\n18040 27414\n29522 43641\n15735 33120\n13883 18879\n27880 31671\n20438 28935\n30713 32416\n15231 48385\n12215 34941\n623 47713\n16068 48656\n28305 31487\n32809 39468\n7598 35761\n19654 20475\n3554 30743\n11106 39702\n23256 33820\n15305 18864\n32280 37311\n16129 46214\n4507 7003\n7835 47199\n21345 43240\n3265 23611\n6802 47932\n13982 19028\n15000 29462\n3715 31165\n427 32470\n19828 30325\n12281 18430\n7926 17594\n949 33876\n11588 18354\n24144 40539\n10944 29484\n23932 33943\n26015 35025\n17029 31175\n37008 40098\n3177 25269\n145 42546\n18179 37045\n38625 40055\n14692 29176\n36116 36696\n32932 38007\n4940 32626\n29629 37264\n4629 6436\n31413 35405\n14407 24304\n8555 35712\n8022 20252\n38660 48211\n45937 48161\n6741 12927\n18552 28183\n11571 40040\n11879 42370\n21099 25029\n16046 33345\n8197 36901\n3769 28274\n19570 25789\n9110 35182\n35383 39600\n23225 29613\n17272 28466\n4856 17226\n3790 45989\n29516 47349\n12919 17441\n3042 19084\n27401 45807\n12406 18921\n7948 45095\n9499 36880\n16205 28024\n25591 40356\n285 13760\n3252 7701\n20824 39372\n11673 34590\n25122 31346\n21625 46189\n16303 41946\n7133 32955\n12550 29633\n24107 43899\n13187 27841\n18168 38417\n25634 38498\n18273 41545\n11696 16347\n11269 17836\n14680 25982\n16163 26342\n13434 38426\n1276 4862\n33751 35318\n198 25861\n25205 38409\n22720 34019\n12617 41102\n14862 41081\n17075 31386\n103 30388\n27379 40919\n1264 31120\n1055 29175\n535 2885\n4158 37360\n6485 11034\n11105 26237\n44215 46084\n20549 35962\n8982 35310\n43842 48393\n14439 38043\n2904 18259\n28082 34720\n10146 32237\n13426 32967\n9780 23020\n11157 17419\n1628 39783\n43665 45640\n4290 9745\n30280 43234\n9485 43165\n7334 33702\n28607 37937\n30578 39082\n9530 35248\n15917 46594\n16006 19571\n3041 38422\n45435 45438\n14826 21835\n23067 39681\n22405 41443\n30310 36722\n1661 16551\n12377 21285\n20343 36097\n7830 13347\n4457 13902\n1982 7195\n10492 28383\n14502 26144\n6590 47783\n26198 46445\n11552 17250\n42711 43448\n2459 29107\n23671 38382\n14784 41693\n35747 48539\n1354 6407\n12820 40802\n4103 24803\n1053 12906\n7819 39390\n27766 43920\n1996 31806\n22947 37313\n7086 26611\n984 40392\n29303 43712\n4026 44974\n40610 43196\n42851 44052\n13939 29638\n35473 46989\n25295 45776\n20846 23954\n41168 41853\n5603 46705\n2576 18434\n3423 14935\n20301 24597\n14434 32012\n1078 5182\n21244 21582\n38279 39089\n16106 37892\n44225 48676\n18960 28437\n2539 37585\n7022 19843\n26558 39667\n10844 25998\n10350 36786\n11906 12887\n15457 40288\n24553 48169\n18133 41677\n24815 44435\n1086 14351\n14315 15160\n3340 42770\n12341 23362\n20657 27062\n16003 26547\n29839 40131\n10277 29541\n10399 34635\n9221 32300\n12031 26995\n19687 37390\n4784 30463\n41250 43681\n15208 16348\n30816 37523\n36202 41651\n873 12366\n14542 42573\n11460 25112\n20915 24536\n41419 43012\n6522 42326\n15973 26963\n26952 46668\n26673 45996\n25262 30248\n88 5512\n7055 15350\n13220 43566\n7819 32595\n6858 41327\n3779 15719\n26492 41147\n27208 48473\n18540 26575\n25490 41969\n19066 40311\n18241 48301\n14769 39033\n12838 43214\n12796 17219\n7531 43773\n23194 44665\n6837 22369\n3948 40041\n25821 34208\n20405 26712\n3159 17731\n6671 43233\n21277 37310\n4884 37189\n2057 38710\n14084 31761\n10190 38304\n10777 33701\n7342 8323\n24269 26800\n6264 46263\n23126 40038\n12304 26107\n15811 18906\n3415 38494\n16151 24071\n30806 32613\n13208 25691\n11703 30777\n41025 42869\n13123 20144\n19580 27957\n30669 33552\n29566 42820\n16138 36034\n38939 39924\n18785 43570\n8149 33637\n18664 33215\n24388 35850\n28615 41448\n18759 34782\n8549 17026\n31744 32507\n12211 12492\n13372 38413\n38890 48631\n27625 48176\n31710 40802\n1940 15787\n34645 39019\n19931 26965\n11397 21693\n7810 23064\n6663 47086\n13825 25022\n7255 11412\n12669 37897\n29529 34579\n12868 15471\n33555 36305\n22229 39934\n5856 43255\n11265 47180\n34730 45552\n8169 42069\n18140 19822\n28669 42176\n24639 36066\n17771 28948\n19046 47547\n30700 38510\n9939 36476\n30596 32838\n18802 43013\n15054 34817\n6883 26195\n16652 16818\n36596 46084\n38511 46931\n16761 33424\n1066 30710\n18922 23030\n23828 32586\n8296 40776\n8938 30771\n3796 9877\n18159 22024\n7292 43534\n2263 16015\n4833 12985\n9440 11480\n23020 25280\n32963 44562\n16375 28414\n5470 46022\n16426 17921\n9684 11926\n16507 27997\n24461 27356\n3782 14836\n14073 47340\n9082 31430\n4795 24428\n18382 47487\n16423 28348\n9048 11659\n19231 23292\n19706 36680\n30887 40937\n20514 43781\n13039 40197\n6598 44366\n10713 27116\n20125 25771\n10381 47525\n22124 38495\n16445 22354\n8886 38279\n10823 47697\n24015 24539\n32579 38668\n15487 20333\n31213 47913\n17805 43756\n17142 38532\n12595 42086\n11317 18160\n115 13692\n11097 38315\n11243 37278\n11056 43831\n15004 34775\n4161 28132\n33539 37952\n21529 30561\n20891 29955\n22357 42259\n4373 41886\n402 42182\n32399 43808\n17413 33531\n5297 21125\n114 43498\n6517 16274\n27169 43606\n1647 39959\n15826 20796\n8791 20458\n11373 30261\n4266 26195\n12900 39771\n20749 23091\n43621 46074\n3590 34307\n1383 48191\n15760 26934\n3794 28007\n4292 39879\n1625 26112\n14129 39056\n40110 45847\n19735 31003\n3363 4482\n1634 12391\n40871 45185\n12042 28796\n30448 40319\n36937 46527\n2003 22090\n15716 17410\n3117 47317\n12741 30295\n1763 39881\n14398 26209\n27981 42497\n20196 31186\n4951 16731\n10667 42718\n35283 44227\n21350 43676\n230 33553\n770 17486\n7184 8238\n10598 37070\n8985 35711\n2333 45619\n25480 30532\n33614 41270\n26558 30775\n4868 25490\n8388 39423\n10301 22550\n3749 7204\n9438 26229\n14076 17255\n18489 38124\n5174 40969\n13485 36045\n4499 40901\n24066 36350\n5549 32326\n1438 22152\n12149 38957\n4174 16218\n39963 42997\n8572 22980\n7115 16026\n9268 39255\n13571 18417\n27946 47182\n2035 33121\n14055 34185\n40540 41541\n27285 41590\n7164 32686\n41055 46356\n18938 34703\n42807 47321\n17962 25596\n2095 23845\n5410 7630\n26562 28113\n3980 43788\n10755 14798\n7930 43989\n3994 8050\n27855 35511\n45886 46748\n30403 43349\n37478 45117\n8956 47210\n22138 38823\n13556 26199\n26693 43202\n948 19773\n7136 9634\n377 29651\n11679 41984\n25562 41473\n29655 32114\n23466 32941\n10811 30596\n6097 22140\n1489 10702\n27609 34032\n26094 48646\n25450 30249\n21085 34114\n17736 38058\n21969 32072\n9017 14285\n37213 38881\n28230 31377\n21970 32710\n9708 12569\n35166 47334\n15009 22255\n2096 10901\n4432 31971\n1922 10237\n5669 32235\n4524 19283\n16912 19524\n24230 41037\n28408 43287\n7838 31142\n10905 36403\n24827 31646\n1676 31639\n6006 38394\n29140 43280\n4445 41359\n6473 31504\n18706 44515\n5421 13434\n22753 31402\n41652 42364\n14509 20104\n31006 46037\n4410 35003\n26630 40987\n6269 28658\n41057 43546\n37221 48137\n16871 37613\n32848 47715\n1067 31677\n1666 31990\n1963 4759\n23976 30830\n17889 27282\n11533 32560\n30340 44396\n19181 34938\n19674 30592\n31873 40146\n31126 48359\n11049 15839\n12390 14288\n12435 31442\n12149 18431\n7148 44048\n1822 46719\n17353 22163\n9056 43657\n22253 27399\n2251 12025\n2549 35532\n6161 45456\n37836 39193\n4994 13211\n28570 29054\n4935 41139\n15913 44418\n15874 36493\n25240 37013\n22558 33447\n4158 38483\n21486 46567\n26981 29914\n18248 28293\n14781 34032\n19004 24034\n13578 48566\n17570 28658\n7707 42443\n11255 16719\n40464 47247\n8421 33189\n238 1443\n11935 39379\n27985 35909\n2385 16003\n14087 20337\n3725 34351\n12006 48462\n7664 30028\n8428 31167\n32714 44390\n9141 45110\n12722 23550\n9100 29624\n3708 6695\n23990 42803\n3750 16677\n16272 31672\n7332 43458\n2579 21764\n5590 38539\n28612 34649\n10074 22865\n12875 25606\n612 39080\n2152 40551\n4904 39381\n23951 24422\n16169 35726\n13965 23407\n3453 6871\n35931 46474\n16918 28020\n20073 28208\n23371 26773\n34200 43754\n28266 29132\n4760 39430\n12934 27899\n34416 37483\n1763 35416\n9645 30988\n6102 26552\n10209 25103\n5424 41246\n2976 25462\n23719 35203\n10562 40371\n36802 45028\n12737 25065\n35715 39846\n1429 47605\n18496 22320\n8026 14587\n4057 27985\n18620 18879\n28316 47653\n4764 34525\n25519 36561\n15372 44722\n5479 7683\n14328 35779\n13443 26883\n25996 35320\n2442 47922\n14007 17136\n6147 22907\n15751 47747\n47 30060\n22492 45803\n35904 40190\n35501 36508\n44724 44998\n4321 8663\n492 48197\n6596 26469\n2377 24909\n3375 48622\n22354 46664\n5715 20887\n30490 40932\n11956 12251\n32472 48319\n7271 18496\n38889 43430\n987 44206\n12524 44934\n5949 37249\n2332 26961\n8111 25035\n5472 26402\n1632 8389\n27093 28550\n11762 31934\n9164 48582\n35138 38882\n5486 5776\n31546 35921\n28840 31165\n5079 32813\n13628 45277\n32749 37392\n20826 22207\n25624 26207\n13621 16011\n6247 18206\n20825 31790\n7655 10439\n4667 27610\n5100 24302\n19466 30909\n16210 28649\n24878 47779\n33522 44255\n22361 45175\n13717 32469\n11070 15827\n33647 37879\n15165 19001\n11822 39954\n21984 47652\n3052 45119\n4963 45556\n367 48664\n28701 40645\n32140 47746\n22861 28791\n33031 37442\n2998 10712\n34264 47624\n39672 48048\n16773 43712\n3670 26446\n30395 37145\n5865 33487\n2698 34324\n21862 31124\n4866 8989\n19134 33931\n11340 11451\n26339 35170\n11748 24717\n38360 39371\n60 29642\n18891 44508\n5780 29814\n40498 47113\n21290 26361\n1426 10392\n10337 41294\n3948 27169\n17618 43048\n23403 27360\n17650 28688\n20178 37258\n33760 42440\n296 42219\n20553 44204\n1491 27337\n978 7682\n380 30496\n15576 23474\n10917 47308\n16136 37252\n13701 31002\n10060 11417\n19604 47078\n41622 43175\n32436 46371\n15523 38470\n27208 44895\n20876 28367\n9782 48177\n7780 27947\n15976 32047\n8990 19664\n22843 24895\n22749 31044\n5931 14451\n4955 30667\n13645 48192\n30667 41216\n3454 29051\n16243 27485\n12507 15226\n5205 5892\n2605 19821\n37793 44416\n19373 37599\n40483 46277\n25117 39854\n6530 13361\n10188 24678\n34197 37286\n5110 30962\n20271 33940\n43377 46075\n9887 22515\n4755 34914\n10766 28928\n752 28816\n18126 30339\n10484 36345\n20188 28822\n11213 15316\n20768 26984\n4001 25881\n7727 38152\n7885 19364\n34674 44891\n14549 33593\n43557 44807\n16851 28687\n13975 16359\n780 14173\n7888 28177\n31891 33043\n19356 39244\n31169 34905\n10510 14388\n5748 30036\n22654 31289\n30882 33089\n35287 45358\n17002 18930\n20048 34463\n32982 34267\n1877 9429\n612 30235\n2895 42226\n28251 43216\n9769 11935\n33222 36437\n12612 19102\n34872 42213\n20164 41907\n20037 37239\n21582 43936\n25209 35397\n29630 30690\n35417 48099\n30200 38827\n24409 31663\n6625 25689\n14708 24168\n14762 28368\n1894 36164\n5880 9227\n10771 48115\n18002 26653\n14804 36495\n6885 8596\n2343 24327\n16649 36981\n25628 33871\n35649 36680\n5664 47099\n37537 43449\n13584 36811\n19644 28729\n35412 43575\n2253 18151\n31657 32907\n26769 27313\n16513 44131\n2431 46164\n11511 38172\n6693 31313\n2243 29467\n4671 20373\n19957 47095\n23777 30377\n27057 31309\n2452 44002\n21352 24399\n5196 38093\n25968 30588\n3850 6928\n41601 45081\n15153 43286\n18478 38332\n35917 43410\n4584 7949\n4699 23079\n32394 43031\n19457 46207\n18998 45028\n32930 39615\n16135 35876\n11993 48140\n17300 19225\n33232 47754\n23108 44018\n23276 47710\n33435 37563\n26288 35578\n8989 34499\n30261 33799\n372 18390\n984 2032\n27189 28129\n2699 44620\n3374 20575\n13680 21694\n15500 37295\n1916 21762\n19588 36731\n24341 31032\n12024 17339\n26939 43498\n12091 35606\n44653 44986\n493 45730\n8946 32645\n8812 43445\n2350 40500\n6440 28028\n12926 44023\n29724 40245\n3199 12984\n11830 15391\n20332 43501\n21273 40593\n27433 35834\n11205 37410\n7551 33587\n13149 47593\n15639 22093\n6084 7000\n18575 27374\n1533 45922\n2946 15697\n15952 30862\n13937 40749\n11822 46782\n15372 29016\n778 9067\n17769 24377\n12296 31047\n19155 29082\n21012 30224\n25459 45568\n22721 25413\n13180 32060\n16638 40096\n11680 32309\n35760 39398\n22576 29397\n28671 34228\n494 48227\n8020 32892\n24727 46887\n17660 24754\n14290 21567\n19142 36429\n10654 40663\n15325 45483\n10096 28973\n12822 14832\n8187 11278\n3474 39700\n25329 44530\n836 17796\n33595 45631\n11567 12705\n6712 44485\n21476 43912\n13071 34055\n45951 47460\n803 7614\n14416 16299\n2200 20960\n11448 42854\n11193 48357\n16289 48053\n1297 10967\n34663 45322\n788 5185\n18069 30738\n23602 26525\n2186 11571\n614 30703\n704 43106\n12025 12513\n15560 32672\n12987 15171\n10560 43197\n35260 36397\n6183 18266\n25516 47758\n3491 25278\n18381 24955\n28662 44830\n19484 45162\n5018 12645\n12496 15048\n2885 30480\n25797 38842\n22690 33752\n19766 42584\n12445 32694\n14139 14643\n45168 47749\n7189 14842\n17948 31391\n4408 33519\n7438 29085\n10196 44885\n1940 30221\n23448 36985\n1236 18720\n9144 15032\n18907 40662\n28646 30206\n19057 42164\n12375 30987\n4180 18278\n23670 23862\n32866 39319\n35327 38637\n16980 32218\n20712 27914\n28877 46562\n21234 43154\n14414 15291\n997 3410\n1853 2581\n1482 17542\n10549 35815\n13200 27051\n2389 12791\n15963 17911\n9240 10960\n6534 13364\n10074 35651\n3299 30245\n39174 45280\n2758 5442\n22659 26940\n27717 46373\n13846 21307\n23470 32797\n2106 14819\n20438 36906\n10246 41253\n10168 27048\n30005 39856\n1350 30524\n2920 7569\n26182 36608\n16161 33010\n3735 4673\n11412 25661\n20499 35767\n20814 30807\n31486 41607\n9143 25569\n484 36150\n20495 36734\n34995 39420\n4936 46183\n11577 35476\n2167 43832\n16989 42481\n6580 37152\n10181 32463\n16816 46825\n29748 33017\n1035 29979\n1676 36877\n1246 11055\n4266 40285\n13505 17665\n30859 46683\n6929 9499\n8434 25294\n3167 36952\n12972 29985\n24997 39040\n11640 22576\n1917 20672\n5390 26267\n9744 27571\n39242 47776\n10675 19214\n7828 43977\n36025 42299\n31461 34395\n1093 23064\n1948 7403\n1368 22962\n10046 24192\n42562 45340\n5573 45342\n12757 16739\n2786 29671\n4176 26346\n7844 19275\n26553 30876\n19455 38431\n31439 46102\n16971 34177\n7192 44632\n8479 47316\n30543 41480\n6368 18001\n21666 43998\n16840 26947\n25571 43860\n13142 15198\n8497 20253\n22522 32299\n16495 21679\n18391 25339\n4341 19817\n18021 47891\n33608 36367\n2751 44238\n22496 22804\n5069 18600\n10478 27108\n21279 45784\n14437 27548\n12441 42686\n31125 41347\n5129 39692\n10082 47918\n34245 41323\n13442 45790\n24788 43620\n22968 37256\n13329 25984\n22168 32660\n5183 5294\n13041 13140\n48158 48621\n21187 31787\n30205 31813\n17707 36446\n12344 41643\n22518 39568\n14078 46463\n13142 31647\n14809 27688\n10372 23275\n17225 36737\n182 45595\n31272 31358\n30735 39677\n7861 30950\n33084 38090\n17220 17846\n14576 42041\n11705 45744\n15420 17930\n23184 43638\n29118 47379\n14229 15065\n17515 19843\n45688 47326\n16988 47692\n12424 29405\n14296 36853\n2805 12164\n5880 40292\n16138 43914\n4725 35534\n1233 18633\n234 46184\n13332 33362\n37322 47804\n15665 25786\n29519 33425\n7136 42707\n4722 46958\n14131 20143\n30543 44278\n23752 40063\n25688 33016\n30307 37959\n41407 45293\n27723 32675\n7065 35665\n17387 44668\n25023 32178\n34017 35605\n1999 22453\n16940 41354\n19619 38924\n37804 48579\n32733 44676\n10599 16247\n10109 28160\n31420 46612\n9213 43719\n24760 41376\n20394 30514\n12227 17273\n9056 36480\n11077 34556\n699 6131\n20919 29375\n5514 40039\n29429 30075\n23655 36392\n28581 39458\n6268 6779\n31215 47334\n17741 21816\n26918 30153\n19556 36959\n33878 42958\n21771 31466\n21650 23700\n28760 36965\n31212 42412\n13994 16017\n7307 20007\n2659 24162\n31983 44083\n3594 6064\n16684 37559\n18035 32815\n19467 42347\n18894 23095\n20947 48681\n79 44869\n1871 45830\n802 37238\n1477 38971\n6612 37947\n9196 29879\n39710 42801\n1710 35986\n7046 22747\n20990 26891\n18845 31793\n5013 22997\n14456 26219\n20264 45230\n23787 45977\n23523 23864\n11777 16765\n14547 36819\n20581 36124\n13770 33116\n12057 27868\n12694 35756\n24142 24182\n31410 38956\n20454 48187\n8076 23640\n26858 42073\n14032 31905\n956 45480\n5374 24651\n4 5573\n8024 17715\n7581 22609\n14434 38363\n9487 36247\n30979 34716\n39152 42462\n15679 18316\n16627 34754\n19116 19847\n5412 45538\n2357 38334\n3202 11220\n19532 20727\n12741 45714\n12380 41395\n20707 38903\n39680 48585\n12194 34138\n1568 45676\n5689 45566\n4110 23342\n10726 26341\n17778 38560\n47251 48358\n12563 40284\n13020 28025\n6729 30765\n16953 39186\n12739 47772\n144 37302\n12025 43322\n4070 32133\n4457 6946\n43857 48022\n28645 40543\n28778 34815\n24105 47579\n1488 32661\n19387 32573\n12265 36796\n19998 29436\n512 3867\n21090 42031\n19680 47360\n7096 28439\n25980 38063\n3036 27407\n5467 9034\n31030 34416\n3757 6561\n27472 31709\n26178 37684\n4256 25279\n17198 23971\n26100 30426\n41312 48048\n20810 48640\n3243 41179\n5190 36914\n1020 40109\n24864 31166\n5294 45018\n2431 15826\n22204 43632\n34952 35692\n21580 30734\n25495 36262\n8729 25415\n7726 35494\n16443 34131\n21164 33392\n491 11223\n3145 13866\n22662 38141\n24838 26500\n13041 16283\n19669 31717\n24262 45609\n4553 16712\n243 18295\n226 38560\n17449 46776\n10610 34858\n12651 13776\n7942 25197\n15840 40031\n4141 46596\n14879 45850\n4238 47122\n25914 41618\n15404 24838\n24833 43381\n40641 44716\n2800 38139\n39916 42813\n25744 39965\n473 40935\n13735 32254\n25589 46719\n32865 35541\n14769 21695\n20076 40113\n2943 29458\n145 31592\n11987 35764\n6286 8260\n10055 41292\n24274 43372\n5715 37256\n17567 18998\n4360 18762\n12516 44599\n29284 34077\n28463 44259\n18543 33994\n13790 24736\n20936 45144\n15616 48601\n16480 32179\n24005 43689\n26039 33048\n42319 48229\n10529 44666\n6861 35480\n31520 40395\n11271 16218\n12832 15251\n9367 41903\n5979 12296\n20018 28706\n22173 38296\n25699 48232\n15131 32450\n10027 31037\n26801 40992\n17111 27521\n16110 43795\n15606 28138\n24745 39200\n15542 24285\n20344 39067\n11235 43798\n24964 37876\n33197 40674\n15085 30489\n1467 23777\n35481 45471\n19563 47529\n25765 43222\n7730 13379\n19837 36150\n2586 17934\n2239 34690\n21480 38979\n45623 47913\n5460 26899\n29953 36851\n8329 29128\n31075 39755\n24398 36718\n68 44393\n14076 41060\n1253 15330\n21273 40735\n27806 42541\n37004 41635\n11674 12346\n783 46526\n17384 30218\n12279 38403\n3310 31524\n6147 23866\n29631 44607\n12649 20590\n23390 26568\n14970 43868\n12472 21047\n8322 27725\n7480 22243\n4497 45520\n3070 44253\n36568 45125\n16692 26016\n35187 47408\n1912 24083\n16934 40853\n10744 36499\n6302 39516\n15728 25954\n27450 29457\n25024 39337\n9885 23271\n14035 33424\n5438 24248\n29971 40956\n26782 40513\n1330 38689\n39573 45435\n26683 31583\n12443 47882\n6569 36034\n32109 33244\n16958 42890\n274 26352\n1364 5008\n24143 47242\n259 31792\n34149 36636\n13945 47328\n3341 45791\n9071 30276\n1096 2447\n4531 6974\n10532 21349\n10899 24428\n19518 33843\n20860 21587\n34633 43015\n13555 34445\n45952 46526\n10914 45616\n27971 43191\n34456 37494\n5438 43775\n4406 24336\n34198 38742\n26741 47476\n4706 13295\n19267 28367\n13017 36527\n38248 42083\n3420 30880\n21954 41833\n9481 13564\n4671 29407\n27101 39322\n18191 26784\n22030 24934\n14525 21802\n32212 47107\n31588 36659\n15720 17609\n6442 44513\n20076 32950\n13602 36641\n3727 11148\n5365 42152\n17524 43270\n424 24609\n6497 36105\n9507 24838\n16843 27544\n12077 42868\n460 22575\n2105 3632\n13781 19823\n22244 24831\n21658 47796\n5473 32613\n1546 23926\n26529 45399\n11953 36282\n1347 11840\n3611 6144\n24258 33630\n20798 25383\n9244 41863\n1400 45571\n3602 43275\n14494 18528\n438 4216\n3578 9955\n35453 42249\n29786 43016\n1452 32290\n9848 46613\n5037 45811\n19614 22718\n26669 33172\n10753 10798\n38987 45261\n24811 25927\n7051 39966\n38726 47621\n14991 24972\n9810 12271\n1369 14244\n44661 48517\n23670 43948\n17022 28626\n29151 46010\n30017 32061\n4816 45907\n4171 46325\n42980 43878\n14368 23570\n16934 26459\n13119 37788\n20321 39431\n26794 39805\n10244 16506\n9859 26024\n5280 12463\n3691 40307\n18538 21704\n33139 47920\n29474 45915\n30592 46000\n2192 38303\n10443 13772\n15251 41767\n17363 22914\n20620 32204\n2262 31409\n14880 22105\n3800 7249\n10715 30101\n23742 38124\n5471 25906\n5569 39986\n1596 1776\n8546 37075\n21619 44420\n18237 23404\n19279 47916\n43157 45330\n24420 43275\n11930 23336\n8922 28427\n21747 27118\n25358 47940\n7159 14487\n9493 45039\n5303 18927\n11583 46461\n16440 19060\n30315 40030\n19884 31556\n12972 48029\n22482 27321\n18747 36021\n34792 43590\n14323 27593\n9409 38611\n23786 46109\n19278 25426\n8447 24795\n88 35890\n14521 35956\n5673 41166\n25942 37865\n6476 19964\n2184 6280\n6274 34447\n20476 27146\n42908 48233\n9679 33393\n12471 30985\n9921 45319\n26104 27731\n15494 39234\n6760 12763\n14208 44388\n20627 37765\n3288 44744\n39065 41552\n12729 19685\n13714 17379\n8531 34956\n41577 41870\n18974 34626\n9284 40211\n4006 13001\n34186 34208\n2336 2854\n3216 44103\n26098 37222\n13094 42011\n5848 43225\n6837 45629\n35576 46963\n15856 30377\n18095 36226\n15399 26380\n10209 43090\n35263 44492\n15937 43688\n625 36774\n23921 43657\n10906 45121\n413 25670\n2534 6275\n25945 36721\n29670 34333\n4117 4447\n41614 43201\n15708 48634\n27665 42028\n1046 36870\n34610 44371\n16980 17817\n17351 25327\n12134 25751\n16861 26527\n32674 34986\n726 27379\n16884 31812\n26301 37755\n5503 42523\n27318 42762\n27477 32398\n14231 18505\n17351 17400\n14467 35453\n2782 41715\n3690 16422\n5256 31177\n7979 16238\n12663 29755\n9078 9726\n9854 36858\n32747 44716\n7101 18141\n24810 29278\n23583 33112\n23993 48371\n16277 42495\n10673 17085\n27619 28039\n33737 33844\n9885 39121\n639 44656\n10571 19004\n43719 46838\n14635 39833\n17644 40987\n498 10206\n6252 23633\n34515 40166\n26589 30044\n29034 46393\n10275 25825\n16821 29159\n1967 6776\n12515 30313\n14609 29625\n33127 44450\n28112 30667\n10273 24096\n3387 7671\n18100 20872\n10140 25912\n8007 38837\n25182 44243\n40731 46633\n16401 42320\n21283 47005\n2559 10574\n13308 25876\n10009 19125\n7669 32672\n19245 26955\n5920 36906\n9935 23273\n5792 11701\n30526 48308\n6693 45801\n24604 30855\n13871 31446\n11922 15797\n30759 41699\n11512 36687\n9427 22018\n15840 30482\n14782 18206\n19456 32378\n24889 33519\n16449 25730\n32071 38437\n6771 31182\n22016 39511\n26258 34801\n28348 40805\n10907 41829\n17812 36439\n11727 34989\n126 34982\n21562 26199\n14648 33037\n6861 40478\n40743 41910\n12814 34063\n1673 35774\n39451 40579\n16398 29974\n16712 33827\n17272 19296\n2633 24883\n6148 42400\n32374 37280\n14325 18545\n33975 47273\n46814 47753\n29782 34168\n9341 10787\n44005 44889\n8104 34116\n5306 25575\n3669 9012\n28203 32460\n14923 29079\n9473 37097\n4065 24855\n22750 31779\n11143 31674\n21544 33994\n16678 21687\n19781 29513\n31200 42170\n29347 30019\n12284 23961\n6915 39311\n30449 45462\n11798 48253\n6585 39186\n9565 42238\n2435 29128\n10013 29917\n22542 27892\n45060 47702\n14673 17452\n6990 42166\n8217 14666\n29555 41900\n27145 42349\n31894 33784\n12904 31666\n28712 35397\n2533 37353\n2164 37113\n4250 42349\n25482 33258\n10123 35120\n31252 41369\n9622 22404\n45821 47351\n13638 30112\n14645 17643\n15585 20200\n2658 17297\n24453 48088\n21168 31258\n3459 28845\n9089 48225\n42383 42480\n35837 44209\n16039 37675\n5319 26490\n26158 26825\n29124 47039\n10675 37633\n14458 21433\n38314 43322\n35744 46105\n11794 46478\n23567 38539\n8955 44887\n20412 48064\n23314 26584\n26541 30788\n27739 30985\n27193 35691\n30535 35320\n24376 41114\n5770 33786\n9762 18570\n6699 44901\n31301 44238\n19668 45202\n16216 37735\n27423 33648\n21791 31572\n6129 45529\n5169 32899\n16045 40727\n25018 29454\n29865 36891\n7463 44756\n17030 41560\n39988 41547\n6988 20825\n24302 38041\n17957 27643\n37329 44392\n7814 34001\n13895 38343\n22063 41361\n6228 19113\n10312 37623\n22007 44514\n22259 46540\n39924 42196\n4718 24055\n33661 39534\n11829 33124\n22710 26458\n46943 47873\n3874 4462\n35123 43914\n27241 38313\n15388 21875\n16625 42559\n859 1517\n22080 31740\n14570 36409\n16338 27158\n17334 39947\n1794 32876\n6166 35514\n26877 39414\n33631 48489\n9931 39237\n24278 34402\n15687 42770\n10454 22733\n9350 45281\n4591 32547\n10509 46639\n27428 46096\n17919 31306\n20217 20496\n6000 27412\n9456 36271\n15789 44619\n14066 44525\n7287 35061\n12177 12649\n12309 40882\n16094 32070\n2335 6315\n488 33591\n3802 28345\n9620 16179\n20988 34970\n19023 42307\n25352 35316\n22939 30258\n11880 47802\n31035 38274\n6371 17124\n34545 38759\n16868 18152\n21305 48056\n28868 47947\n3814 18640\n609 19597\n46094 48264\n28317 43162\n15828 38247\n13728 30711\n15687 24522\n18340 29609\n41332 42048\n43325 43638\n13221 47905\n22445 45058\n14200 38166\n5230 14623\n44523 46414\n5823 34044\n5398 41085\n9986 31278\n7446 45552\n28875 45681\n20831 32184\n4302 7979\n2057 16847\n7983 39576\n10459 29669\n5854 27883\n24985 28987\n24866 31109\n2674 18887\n32899 45377\n27308 32527\n21408 43998\n17003 41356\n32348 41224\n31538 38058\n29178 38144\n29965 34327\n12641 34150\n6576 45820\n35202 36702\n11281 30190\n4690 22149\n9877 32073\n19666 22810\n2368 21159\n1698 17001\n19100 22405\n18855 29549\n16874 46996\n14047 28622\n19501 42430\n33293 46740\n34600 45319\n1638 30897\n2313 48499\n15338 16425\n45590 45686\n16470 29733\n22233 43236\n44469 45253\n14634 21632\n754 25633\n44357 47548\n9284 42442\n9287 26362\n30890 40254\n26244 36993\n17197 26719\n11455 25610\n30613 31769\n1991 33417\n30950 39106\n14726 24186\n3841 6277\n18622 25829\n23023 39927\n33070 46247\n31703 46567\n10657 43539\n19836 37504\n21558 35617\n10894 15566\n4513 33543\n1380 20332\n10528 35569\n3848 10202\n14325 17689\n12374 46737\n18444 30136\n19432 48320\n11919 38354\n15578 41221\n6998 37543\n23999 47126\n11589 27448\n11800 16008\n1995 29446\n12006 35542\n15273 41390\n16106 35839\n14754 35428\n7885 9350\n2301 17728\n3237 4920\n17425 36323\n20462 39481\n20034 24283\n13972 39304\n24377 47984\n36815 46339\n13168 14297\n1579 13417\n8972 38875\n2801 12523\n35976 44504\n13615 44198\n8359 19159\n7602 20863\n17064 42413\n23240 43236\n12326 25722\n306 12831\n13770 19072\n26032 27338\n14400 15576\n17795 39375\n18442 32270\n11740 37731\n12206 35951\n4421 5274\n5432 18720\n30903 37110\n32699 34077\n13223 33598\n32545 39431\n1506 24613\n15930 22652\n27 21317\n29384 44956\n7296 46233\n1470 15458\n22456 31192\n3204 8005\n19604 39677\n11458 46756\n20049 24003\n3465 48453\n4049 38239\n15705 42721\n36404 43155\n15540 22721\n5405 15372\n5157 6479\n13355 48343\n17052 44597\n25489 38336\n20936 28546\n16013 34829\n1754 9995\n32314 36912\n29393 35050\n20827 22889\n13427 24674\n6135 12046\n40501 45520\n15286 47729\n17654 28635\n15739 48203\n28697 30933\n34384 48251\n6578 46513\n10017 15532\n4371 15274\n2046 47454\n39327 45783\n30904 48095\n5713 34520\n23167 27558\n1364 11792\n10551 23292\n5333 27855\n17787 42381\n22345 47083\n4745 34381\n17944 18199\n28416 38737\n12207 23634\n1145 13835\n4204 38494\n23231 30421\n11050 37452\n18459 28637\n3845 6236\n22168 23894\n41211 45702\n10127 30828\n41853 44208\n20172 24487\n4023 45733\n13867 40401\n191 1153\n23434 37462\n25318 31690\n9695 24601\n12309 21600\n14820 26570\n19773 25021\n2367 28093\n5867 46645\n7335 15956\n12525 42563\n29481 31559\n9116 19387\n24122 43522\n29112 44054\n21974 46384\n3694 40411\n38743 41015\n40602 47176\n36518 46963\n32384 34367\n13851 33542\n1323 41800\n37932 46884\n23581 38707\n7342 9884\n25434 39512\n1193 10413\n24914 25929\n30663 32510\n7532 22670\n42006 46540\n10069 40537\n19498 24766\n31907 41913\n25431 34705\n11092 13460\n35729 46613\n10834 26666\n557 43008\n1122 36597\n13201 47959\n12391 19354\n4203 29642\n22187 39666\n11426 44104\n18486 18934\n37971 40019\n22247 30763\n11714 18392\n8325 18933\n23665 34417\n41765 47552\n23031 25523\n1893 11962\n27173 42259\n22874 45026\n41123 48373\n24309 38628\n8767 41726\n27100 41202\n8135 45354\n13596 45136\n14015 25506\n22640 41651\n16389 25334\n38776 42102\n5457 38427\n38923 44910\n18869 43609\n19680 41901\n14539 22954\n3773 43624\n12304 36048\n33337 40767\n31079 41438\n19086 48633\n3239 12574\n4181 15545\n4871 16984\n1578 3491\n12046 47592\n43749 47414\n33126 35375\n36109 37585\n23469 44176\n4142 30090\n2594 45369\n31915 47547\n33872 45002\n1901 25653\n4345 38355\n2241 6027\n17274 25843\n2182 10153\n11808 33266\n2340 43294\n11865 12399\n2297 47861\n13581 21629\n1983 9440\n17942 40853\n2831 26052\n30365 48678\n14460 28475\n29452 31622\n7771 44034\n44811 47642\n34064 36987\n40500 40589\n1558 13307\n29137 29451\n17726 47263\n36770 37269\n39580 40676\n8075 19375\n21373 47541\n20809 32885\n40749 41496\n9399 26186\n12358 43243\n31835 32506\n10285 42632\n8868 10403\n26893 28703\n14775 46881\n11385 16663\n12930 40955\n1032 42703\n28153 42254\n7075 11176\n343 44290\n40390 46337\n13163 38787\n11241 12207\n901 48231\n32013 32030\n13153 28748\n6616 39296\n17986 27734\n837 37461\n375 18815\n4910 24871\n33325 38314\n19661 42976\n40441 44172\n3938 30945\n6577 7740\n31002 45285\n12625 23352\n1318 41016\n2382 47408\n4378 25769\n15738 37111\n13134 32782\n41849 46204\n5117 36371\n9457 13897\n15862 33436\n10443 29513\n15036 27209\n25412 30838\n3922 20237\n6945 27445\n16672 28855\n26861 27312\n4761 37394\n4859 34704\n20880 21617\n7598 41007\n10448 46961\n456 7273\n1107 22184\n3527 47833\n28576 47302\n6877 33979\n14930 31322\n2978 10759\n5498 26747\n9131 12077\n14609 43707\n12431 39399\n28119 48349\n30662 34159\n9164 37818\n13725 22964\n3809 38608\n28457 39315\n23408 41087\n39343 44673\n7157 17879\n11974 22195\n10415 30607\n8391 27283\n8673 8994\n31361 41795\n7772 14570\n100 26387\n25240 37810\n23962 45205\n24880 31043\n11306 38183\n21917 45682\n9158 32047\n21886 45309\n8811 12874\n711 32537\n2369 48481\n30953 45881\n9333 17260\n15350 22292\n587 15511\n4958 15503\n4071 27131\n7965 40335\n26380 42758\n3107 3515\n19487 36440\n3753 16379\n10463 28438\n11450 19698\n41772 42466\n23149 27428\n10241 32063\n13901 44571\n15078 18351\n1960 3356\n2984 32562\n17663 27052\n3406 25900\n6768 26866\n4812 20029\n41343 46992\n19379 41677\n17359 42867\n13717 15180\n18378 37938\n4465 44965\n10041 28215\n328 46825\n6197 14588\n25120 26631\n13521 16177\n11838 38999\n390 36321\n20518 37377\n6625 29706\n17854 18001\n5723 32406\n26807 35159\n37460 46851\n25461 31973\n6293 16105\n28140 39439\n23772 32890\n13701 43308\n7417 9551\n9133 43788\n36067 42183\n5700 32953\n341 45466\n12529 27759\n34884 40308\n479 5752\n37485 39430\n16646 48044\n8748 24427\n37118 41107\n4843 17184\n6675 28689\n29573 39073\n9124 16806\n30708 34328\n13776 18665\n22919 46695\n39844 47885\n10567 39706\n3232 4996\n21703 37836\n11909 22792\n12476 36179\n21440 43180\n10087 45516\n2369 40211\n16823 22878\n13518 19696\n24394 38900\n10284 47535\n18000 18009\n25122 30186\n3798 30841\n13984 39984\n2424 21568\n31771 48292\n11953 38629\n3533 18763\n31989 36457\n6496 37367\n27514 42065\n17423 29138\n12941 45608\n3416 13412\n3419 37209\n10678 33526\n2581 38063\n1067 20434\n1018 21165\n2430 4535\n23073 26030\n30898 39166\n10613 40403\n15573 24815\n8833 30902\n23688 35896\n17333 48036\n4970 20682\n15355 18434\n5181 41299\n18088 18261\n11845 20647\n4926 27478\n30330 40461\n23162 28325\n3603 43883\n5115 27531\n12012 29093\n33249 35708\n10781 13475\n9733 18208\n4577 33885\n13136 26305\n3588 3792\n34445 43348\n1960 43303\n4856 31755\n32095 46785\n20672 44836\n16003 37689\n26871 29954\n5616 40888\n3436 36017\n20058 26048\n30595 48109\n15100 25201\n3610 45174\n37533 40613\n4533 27869\n15608 43445\n35914 39408\n40161 40379\n36921 42026\n9851 28584\n8337 33551\n6071 23607\n41374 42851\n9335 27084\n29174 32546\n36240 39913\n32786 43952\n26918 47245\n384 2601\n1131 2001\n4366 45322\n12934 32392\n5489 37537\n10182 40895\n32277 34904\n1624 18975\n12652 20016\n28694 39398\n4266 35428\n2169 12577\n6107 28291\n6696 12828\n14146 41798\n7649 17251\n43817 44680\n44315 44876\n15226 23648\n18215 35505\n8309 13732\n24198 39672\n16243 41209\n5212 47716\n5508 30722\n16443 44523\n14899 40441\n1565 40245\n5418 18564\n12132 47407\n27759 43536\n16972 47817\n10875 29586\n17124 32293\n13984 41085\n6564 33161\n9385 10763\n26592 38565\n4170 42132\n22642 26494\n3993 22409\n13094 21177\n17560 24360\n924 8965\n11571 15552\n2263 40192\n23280 42740\n16535 47984\n7813 27461\n17517 22855\n18248 19394\n9226 14213\n9436 44386\n29408 37056\n40208 40859\n17390 29124\n10407 20244\n14497 20122\n23500 29158\n3970 30184\n20377 32150\n19715 38891\n21272 34897\n7352 34189\n26696 34209\n5048 18405\n7430 20615\n6678 37024\n11582 42611\n13437 38294\n12758 20341\n34392 46742\n20449 48059\n11285 33933\n3730 7113\n24241 30899\n28743 31181\n5909 37825\n2188 4668\n3861 33884\n18877 23146\n3329 35738\n34472 47249\n6197 23468\n42889 44376\n3156 10507\n24432 48650\n3624 26708\n963 33947\n24898 29997\n16325 20639\n27451 40963\n34769 46543\n196 5122\n11807 16098\n147 869\n1739 22338\n15451 34889\n10868 19993\n10472 35317\n23963 40930\n11780 17609\n5311 14111\n3645 45140\n17132 34056\n17336 33558\n6838 26741\n8569 13085\n25067 25852\n15240 46507\n31494 40323\n21802 36239\n10850 18122\n17933 37402\n2656 3617\n4237 28056\n16903 43486\n7139 42021\n42678 46172\n21468 30643\n10581 39937\n34175 44073\n23097 40295\n8520 33594\n19348 21226\n27814 34017\n22840 48634\n43464 46630\n33892 39364\n28910 38466\n15022 44709\n10445 16764\n23901 31261\n2488 3075\n12850 33793\n18208 23441\n21562 28661\n12850 45832\n39478 43450\n16400 17892\n29624 47219\n9335 32326\n558 26567\n21328 38977\n4878 43581\n10239 12362\n24576 39974\n20970 37171\n19189 20393\n40028 46088\n15908 48605\n45835 47883\n5368 11813\n81 22992\n29775 47448\n26957 43515\n32165 35366\n22782 42503\n4203 15434\n14169 31847\n20886 27463\n32142 36520\n25854 37962\n6617 8805\n5443 43455\n1509 21212\n7103 15779\n13221 37871\n11113 29574\n1432 12584\n46636 48231\n13922 19830\n911 28436\n35116 47788\n12176 27884\n2851 43804\n3192 37387\n5763 18882\n16739 18099\n23960 25963\n21904 41418\n625 13806\n30463 35479\n29406 47831\n7635 18375\n1096 27226\n14207 31934\n6102 19542\n14877 16978\n10102 10549\n25770 41268\n9160 9580\n12785 40694\n6157 29629\n25149 48469\n1429 48190\n39835 42062\n5076 13097\n42504 43812\n25302 40026\n11564 17230\n18347 26572\n14132 14217\n12017 44482\n2619 37754\n17641 28370\n21360 25316\n1346 19956\n9351 38619\n2539 9297\n3489 9605\n7115 29443\n6541 30249\n39842 47811\n12715 44683\n26669 27892\n22234 37287\n3051 32250\n19303 36230\n25875 44690\n38982 41745\n3512 37969\n25105 46318\n32239 45912\n32394 35429\n19383 45492\n3624 45105\n13053 36336\n11496 34015\n2177 46386\n8429 23003\n32305 42796\n28779 33965\n41070 45884\n34340 45212\n14799 25542\n6010 20247\n16302 20841\n31154 45008\n31634 39910\n14484 38846\n4618 21833\n457 1935\n18028 36003\n30589 33386\n1642 4486\n31052 39916\n3886 6945\n17234 28054\n27330 42044\n26995 45004\n10158 29216\n15099 40168\n19709 28898\n17774 30420\n7746 25277\n4311 38303\n37442 37652\n13189 24570\n1621 4135\n29382 29855\n24228 43571\n1140 28838\n30505 39712\n20850 31524\n12176 45923\n14057 46651\n39885 40177\n24734 28826\n396 26832\n14712 35152\n36618 39923\n41365 41618\n26055 44679\n4171 21161\n4523 14352\n18630 37149\n984 10921\n8881 45491\n42543 45926\n6576 33716\n12469 16994\n27668 44414\n9287 32144\n2701 36413\n4522 32859\n9812 37726\n1184 2130\n25000 27768\n28964 31215\n24385 37325\n1464 32665\n3565 12395\n17922 44950\n11740 30636\n26863 33494\n13400 16320\n19390 35612\n5678 46311\n9308 24750\n14171 39855\n20282 29644\n21151 38677\n25712 43426\n4436 26602\n8296 26932\n30738 37503\n26282 32972\n38085 38702\n846 10971\n5676 11891\n8306 24453\n2246 36924\n34137 36988\n10280 43318\n27010 42001\n7911 8104\n6543 9269\n21517 37708\n309 24681\n18501 46210\n19908 40182\n789 3522\n5118 41953\n15529 26628\n15823 44787\n3771 18523\n24895 43017\n25848 41033\n4213 40264\n10861 44676\n10370 35818\n5991 34094\n3156 22499\n10312 42798\n10389 42538\n918 37352\n986 38067\n34626 44698\n13706 29547\n12633 43893\n13900 41730\n42772 43549\n7709 40179\n26721 27670\n12737 12824\n3714 46733\n24816 38129\n20944 43386\n799 13743\n28081 38005\n6645 48178\n17423 25601\n849 31402\n17489 28994\n14998 31758\n1898 10396\n23407 25372\n24 13042\n26990 43793\n25952 28362\n17129 27633\n3339 13513\n19695 36220\n25829 40388\n5706 15602\n35665 40780\n36188 45356\n8827 41480\n24 41286\n30487 33135\n8040 8945\n1597 11854\n17569 24923\n18799 32121\n15734 36182\n7430 39415\n13577 23010\n634 20745\n18721 38421\n2313 30369\n20501 27604\n10782 27208\n1650 20578\n18227 46421\n31895 37389\n39461 42722\n4007 20953\n15724 47955\n2412 9720\n36005 40603\n34051 45366\n7254 24401\n22872 26541\n10539 22310\n15230 38783\n18652 37227\n34527 47842\n13528 19029\n414 30243\n14765 48464\n14806 45705\n16035 28919\n31002 43513\n11181 32356\n12827 15069\n26088 43735\n2044 27266\n7339 9155\n29567 45152\n34990 35920\n9149 37035\n39908 45208\n11001 38525\n18761 44018\n7191 13436\n5943 28659\n9568 39684\n24955 45914\n581 13035\n21367 22753\n3756 15204\n7468 10930\n37053 38915\n23396 36778\n4312 40373\n6219 33942\n13734 33401\n22931 41796\n7639 36639\n13730 31499\n2057 33109\n14455 42490\n23141 40630\n16957 42344\n18579 45449\n1049 44889\n4779 37489\n24227 24499\n10871 12172\n3239 32075\n21417 27605\n888 36545\n6079 18943\n4248 31676\n33725 38173\n4422 28459\n19572 38592\n25890 36640\n15039 30651\n13266 40778\n1985 26399\n27574 31015\n27031 31266\n9681 34580\n11419 38638\n14518 31693\n14114 26288\n29137 39517\n11638 36251\n15701 31700\n20175 46309\n14631 44835\n8431 32371\n25880 39215\n8440 26054\n3077 42870\n8090 23055\n44532 46245\n9923 40874\n40062 47686\n14006 31039\n15471 37275\n1880 22249\n19540 31477\n11469 14439\n10888 41965\n5893 22143\n14604 43073\n1279 25380\n10038 14045\n18391 48460\n30100 47925\n10085 30112\n37696 41367\n32013 33062\n35071 41691\n18218 22058\n11744 33612\n25151 28850\n13133 41127\n6624 23694\n2624 4093\n28996 47089\n2727 43031\n12979 39376\n19754 25246\n19465 38642\n4230 33865\n534 15684\n16187 37407\n32951 38818\n36262 47729\n1001 30044\n11816 42737\n7551 29669\n181 9181\n5158 22411\n10025 35728\n8211 26064\n14117 29224\n44446 47983\n1507 11513\n3228 23336\n10742 39192\n2993 36570\n35601 38700\n25397 29783\n16116 44496\n3407 30359\n3945 19076\n37970 39729\n1288 17461\n836 41121\n41226 45099\n23627 28038\n21355 47575\n26252 39318\n17853 42770\n37170 43647\n13378 20979\n15680 20384\n25172 32599\n42202 48108\n16582 40074\n19498 26946\n1084 38616\n5386 32149\n996 4712\n4213 23721\n7107 45124\n5938 23767\n10575 31166\n3860 28781\n9663 44246\n970 41012\n16853 40141\n21532 39387\n17095 35600\n19223 26240\n28678 39035\n9923 36417\n30918 37969\n25776 48276\n34223 37871\n9743 30240\n861 8262\n3330 48598\n26913 33142\n2455 6493\n34770 47360\n28318 35951\n22574 26461\n5022 21809\n27395 34637\n12582 25653\n7391 9621\n45880 47447\n12151 19480\n5346 43984\n4546 8850\n668 5500\n11651 27602\n12537 27743\n7323 20030\n26117 33977\n22187 23537\n7066 20601\n18568 36366\n9194 45722\n15004 17724\n15017 25774\n16185 38709\n3088 42592\n13571 25947\n3876 14227\n16055 20876\n5676 7911\n29330 33652\n9447 9476\n20332 35389\n14085 45177\n42255 42682\n3830 29673\n8826 46021\n32809 46504\n3839 33327\n1105 41631\n28850 47167\n1337 8582\n7673 28568\n9058 22906\n1910 39336\n32929 34334\n6365 33924\n22675 42963\n4636 33230\n22125 44541\n26886 42074\n4511 18437\n15265 18619\n3922 47826\n17393 47930\n25094 36461\n1487 44514\n339 5929\n22358 22860\n6894 29158\n418 31554\n44005 44595\n9076 9753\n762 3816\n19659 23767\n38064 42529\n21889 43268\n24503 41654\n22029 48211\n33960 36313\n5888 13493\n3587 6522\n34675 47386\n20701 38613\n8306 25934\n28917 29318\n14577 22431\n26996 29793\n23718 31864\n18881 33257\n30641 36065\n22707 24759\n226 34409\n37812 46356\n8677 29609\n9044 34035\n4293 6185\n26351 31205\n7796 38821\n32597 46002\n7680 27381\n17959 34370\n16710 36719\n36483 36586\n5363 44612\n30205 35300\n16057 16447\n23630 31141\n13601 26482\n29832 40836\n8934 26765\n24725 48214\n27051 34838\n633 29409\n10813 33090\n24103 40665\n14126 28741\n8779 29164\n2292 30821\n9919 28768\n22090 38242\n11773 25020\n14024 38717\n3453 41212\n19936 34732\n32004 35525\n13148 33417\n11660 14636\n33152 39919\n18165 40322\n15878 17467\n12568 39432\n10330 35898\n13137 16492\n33022 37298\n11633 21500\n24391 46707\n5684 20406\n31127 46756\n6203 45412\n19196 29871\n31070 35417\n6351 21087\n8717 40224\n6323 14507\n10909 27709\n14385 47039\n9153 44146\n35349 41029\n3755 38136\n21575 28510\n30407 33416\n4869 21295\n35891 44784\n39109 42466\n2953 17982\n15467 21235\n13447 16871\n23749 41654\n29663 41467\n455 34979\n20120 22245\n16073 16406\n41702 46882\n17240 19754\n1747 26705\n18883 27337\n27854 46597\n11193 17595\n1831 11426\n8049 34571\n15437 45545\n22712 34293\n17724 35496\n35538 38135\n6638 15614\n38406 42755\n17329 29243\n2272 48667\n1378 32654\n8406 14365\n1430 16590\n15342 27998\n1553 3489\n12960 47149\n12795 44697\n14112 44196\n4760 41159\n17543 26887\n499 16844\n19060 23034\n1909 7116\n9559 12788\n25844 39283\n76 4960\n33874 43352\n22659 45052\n42681 48406\n9882 11291\n4779 5431\n21034 31937\n6992 18356\n4743 38746\n15335 47250\n26104 37080\n7070 27080\n23703 27239\n23408 29535\n12344 44568\n11076 19714\n45509 45666\n14869 25171\n1401 47943\n8204 22275\n7888 10112\n28102 44439\n44375 44959\n17125 32031\n22981 25448\n12692 45194\n4322 5462\n5808 18413\n15702 35764\n32315 39494\n43488 47829\n2301 35807\n6113 20746\n18363 45324\n10280 21245\n40986 43619\n34359 46459\n4917 34121\n2111 9276\n19669 33591\n15792 16557\n30117 39290\n7374 23662\n8723 40110\n24499 37619\n18941 37770\n14366 17846\n34355 40423\n41221 46761\n27933 41530\n12087 27710\n18436 40067\n25270 37838\n19229 28316\n39269 48051\n734 25087\n33385 44557\n18713 39015\n949 33948\n21154 43643\n831 13008\n11912 13437\n25368 45178\n18558 31023\n10493 27635\n126 28366\n22128 41606\n4142 24897\n21417 28801\n21932 27507\n33443 35576\n32211 48566\n11187 16685\n7310 47933\n3317 7303\n38868 43628\n33028 45659\n15085 46976\n11101 43390\n19903 46096\n14494 28307\n1010 26993\n9894 27420\n14779 27951\n33372 34427\n769 12965\n33355 41527\n16074 25855\n44272 47353\n26105 28960\n28921 41893\n7883 27964\n936 22251\n22387 26779\n23145 36053\n978 10047\n12943 29156\n12947 31711\n21105 22333\n18321 26883\n19760 43570\n33084 47662\n636 33406\n23915 28195\n20227 37505\n4220 47570\n5140 7284\n8848 32762\n18498 31425\n3731 13186\n12602 29412\n10620 45599\n6666 15620\n41716 47557\n7287 25719\n13936 46630\n3403 8944\n10963 37693\n10759 10797\n30740 42330\n8733 35210\n6287 46292\n27561 37677\n22140 29350\n36671 47455\n33668 34585\n13219 48561\n7790 22379\n17165 40071\n28532 44646\n2317 23847\n1885 22776\n9893 33075\n32158 45973\n33689 34600\n2165 37024\n26794 31847\n35989 46006\n14478 38028\n11997 19312\n21957 37857\n21538 38432\n5312 6770\n26088 44610\n28300 32544\n20334 44928\n15571 38372\n34555 38954\n2315 5953\n6795 32604\n27303 45333\n8291 26891\n39524 46370\n12205 41720\n1416 26207\n12562 34880\n13275 29987\n6231 28291\n7130 32341\n11930 38407\n31383 43991\n36415 37553\n2393 23455\n12532 21833\n30611 36308\n19205 20910\n9006 17865\n19866 35469\n4222 17818\n14119 45636\n17534 25051\n4405 40497\n20415 47508\n11034 35864\n119 4499\n3189 31491\n4431 17817\n16827 35643\n3952 37155\n6855 23811\n12550 28992\n5288 24552\n43254 45718\n23211 45051\n36895 42316\n17147 35778\n12232 40574\n35089 42904\n6076 29187\n9237 26407\n9236 14606\n3517 41546\n2296 19885\n13605 14054\n3668 14144\n18012 34777\n7481 26133\n35057 41382\n8216 27203\n29658 46710\n43046 45359\n29539 39208\n10716 27996\n12140 24547\n22805 45578\n7300 8155\n6746 26743\n2058 7070\n14689 29914\n2011 4674\n17031 44037\n9095 27327\n53 10278\n27014 39330\n3083 29241\n18056 34300\n6174 9058\n1789 45049\n43472 47219\n21531 32144\n10429 43119\n31689 41150\n9488 21105\n7120 25744\n27655 41168\n34810 40297\n31795 41210\n6 16608\n20033 30102\n261 35045\n12011 19742\n42343 47627\n14796 43001\n25954 47148\n8565 26341\n45491 46030\n3788 17673\n5837 22801\n24888 41024\n32450 46147\n611 22919\n31304 42480\n22662 25471\n8449 40997\n16662 39193\n3465 10617\n22885 46497\n19109 27398\n1990 2455\n14596 24592\n1493 27310\n28744 30000\n9680 14625\n932 40338\n24822 29532\n20119 29488\n24236 39178\n1154 34401\n23122 42558\n11692 39280\n9415 46688\n26599 32618\n20589 27520\n2629 17994\n39875 46695\n6133 32695\n14229 21596\n27340 29556\n25125 33325\n33823 41066\n36549 44003\n14864 47987\n9648 44559\n10411 36378\n22774 44179\n8983 32356\n5527 15182\n7359 22847\n992 16764\n9509 11570\n40809 42060\n15554 44606\n4404 47357\n25275 34360\n25511 39048\n7941 10213\n25732 31644\n8238 32816\n27374 27810\n10883 37273\n37829 41027\n30770 39798\n2841 42745\n9543 39401\n18601 35638\n17685 30201\n30958 48233\n13256 16162\n25385 35875\n873 18441\n39565 47785\n25744 45227\n24796 26074\n2245 44859\n17821 47429\n1849 4766\n11686 43300\n27967 47140\n38167 39358\n22764 43213\n10239 27357\n3087 27162\n5974 23574\n16448 23020\n30397 45266\n8565 8977\n12952 23789\n38775 47183\n16381 40520\n21061 32178\n15053 41497\n8827 15162\n2813 3606\n1789 23542\n1624 1788\n27164 28502\n21247 23945\n5106 38152\n11722 46398\n21377 40019\n15897 37356\n2374 18629\n43325 46931\n21117 34486\n36228 40351\n17447 45032\n1568 34890\n8327 13269\n34679 45959\n29267 31612\n23109 27225\n6932 16318\n5685 19159\n7486 43054\n7328 30205\n21565 37934\n11456 31477\n34145 46031\n9955 22034\n14205 16475\n39285 40912\n2464 23862\n34801 48123\n17743 30865\n11603 47294\n21251 25114\n22127 28127\n4023 7092\n25341 33767\n9523 34417\n46425 47892\n19689 24213\n40032 47330\n19821 39178\n35080 44194\n19833 43565\n31396 35725\n2071 21121\n19080 47897\n14375 27662\n16314 29972\n30172 32976\n1967 18783\n18139 36108\n24527 25666\n46197 48488\n19543 29923\n16040 28623\n17232 18902\n9588 15041\n8025 22141\n4245 7412\n15495 22748\n2227 47202\n7377 41196\n15267 36888\n12160 38665\n28561 47715\n29404 35502\n25825 40785\n6591 20036\n2765 44101\n35780 40068\n2684 11416\n36166 45438\n29588 35419\n19872 34038\n29133 40795\n1096 22257\n10431 30414\n36015 40766\n16331 43423\n9760 28897\n9988 14008\n7788 42858\n11664 46733\n3466 24656\n1827 46158\n8911 20477\n31895 36287\n37858 40786\n40179 45389\n21938 33550\n17319 45859\n16911 30586\n4539 29026\n5759 37320\n39554 47558\n26590 40820\n5474 14623\n26750 38436\n17101 33253\n8511 16657\n10170 37514\n6672 38780\n21564 48662\n34184 39671\n13821 28313\n20629 30686\n9735 28711\n4838 15394\n42720 46615\n29113 32689\n4241 31626\n33921 44780\n12441 46870\n16031 47898\n3127 20101\n5893 22318\n12678 17759\n19728 41844\n37265 45524\n2274 37499\n16715 30000\n5748 47045\n16125 31253\n16493 24805\n38349 47646\n12514 15254\n12548 28306\n9205 20610\n46866 47867\n41823 44466\n25500 37752\n16127 40255\n30786 45712\n1735 31865\n14022 37918\n13952 36411\n16813 21230\n15141 20908\n18205 26647\n9352 45166\n19457 24919\n22037 30316\n24501 40106\n42629 44925\n32961 40210\n1547 3851\n14163 19767\n18402 22922\n4739 14835\n12113 36107\n25605 46498\n23187 32167\n3577 11987\n22809 32196\n23612 31966\n21710 24952\n5488 23163\n14885 40736\n1417 41489\n3246 34062\n19164 34105\n28323 38228\n13333 33679\n4910 15567\n28504 48624\n11668 29678\n14363 31213\n7225 27581\n16686 47202\n12663 39302\n46851 47059\n27980 32031\n22679 30586\n20899 30967\n40575 43295\n40401 41698\n32582 32719\n31834 38772\n10331 31911\n6417 34312\n20674 45935\n6157 31019\n11920 20063\n36285 37572\n32708 48666\n4333 11334\n30871 46625\n6827 18835\n781 38210\n4795 36608\n10522 11254\n16586 34786\n15790 21115\n30891 38446\n3901 8570\n26231 45839\n21732 40655\n12971 17054\n3819 33104\n11036 39367\n30851 43064\n10413 18675\n30365 43081\n10360 48272\n14162 44665\n35133 39589\n360 33600\n23154 25804\n13797 38387\n11351 15158\n7429 13246\n23033 41788\n13173 44586\n22998 35964\n27903 39111\n9245 32514\n15075 45080\n752 8616\n8981 14985\n16435 30190\n9076 25862\n13305 48376\n4062 39395\n4858 19961\n31598 47864\n12939 40091\n7418 46905\n3544 15746\n11973 34258\n35047 42740\n42754 43336\n7175 19468\n24160 31086\n12162 43431\n4703 27192\n21615 30433\n6460 22322\n35737 41089\n17147 43245\n43127 47319\n30454 31381\n15939 28162\n14281 19144\n2070 42815\n10164 37975\n21496 28404\n33112 44347\n44827 47903\n2312 40384\n12920 29711\n1377 47455\n12420 31799\n11019 26642\n19546 46660\n30237 45582\n3649 29930\n16538 31984\n9321 24795\n27285 43026\n6935 25216\n34662 40926\n4946 5630\n32956 43097\n12154 34621\n10296 32785\n5893 12802\n6278 7255\n18327 23846\n3351 14024\n3883 16017\n43269 43464\n8571 13630\n14740 23709\n24866 48504\n18067 23616\n5709 18921\n27879 28551\n20997 29141\n19053 32244\n10406 17923\n6711 16926\n8462 29247\n3712 34973\n12248 28910\n23453 25850\n6427 42020\n17520 32490\n5171 10615\n24084 26175\n16349 39967\n13999 42730\n26225 46877\n986 44083\n7933 25143\n13770 39649\n18356 21722\n19600 19981\n27330 45467\n7969 36370\n22807 43782\n3598 40499\n12268 21232\n3677 33959\n14752 14810\n9086 41451\n5298 41540\n3968 18555\n16392 34400\n3285 32874\n22707 30939\n18817 35641\n12098 40517\n7619 37649\n10811 26277\n9010 36475\n14753 15929\n18241 32911\n4522 24284\n9687 33128\n8545 9751\n26515 48483\n4554 37844\n20818 25937\n36092 41543\n7976 46882\n3397 14396\n13465 44470\n19053 42910\n2918 13249\n7341 40002\n975 26327\n25629 40173\n26342 31774\n28608 34893\n13513 18149\n30534 35950\n29604 30695\n22803 32962\n23117 25268\n11311 26940\n28117 29449\n31881 36429\n5336 29748\n2966 41883\n5812 38984\n9886 47817\n13372 35679\n21397 30174\n23515 39364\n6443 38383\n9623 33075\n19619 27358\n37181 45602\n40953 43174\n38083 44390\n18952 22675\n9015 40068\n4712 34677\n5821 44636\n4957 36087\n24790 40455\n31816 36785\n10249 10978\n22501 45400\n25331 29059\n4615 47522\n44527 44690\n1876 8711\n19640 27175\n22451 24970\n9864 13775\n2697 11014\n5621 43019\n27962 31522\n2932 38231\n23119 30698\n40589 45010\n15919 45593\n10948 31317\n18344 39784\n1029 29552\n23955 48229\n11830 19019\n25089 42394\n23620 26168\n11453 26631\n22315 42956\n36250 38196\n10381 15368\n28636 43943\n11915 20617\n45966 46752\n13360 48364\n5953 39641\n9139 14290\n23375 33391\n20268 31396\n4991 39936\n1501 37489\n10550 34744\n7343 46043\n43352 43924\n693 7078\n30945 41695\n40073 40736\n23488 25615\n7507 8284\n1181 25624\n10362 11497\n20999 33939\n3418 34601\n12881 16166\n18812 29099\n5853 29739\n14426 47964\n841 20858\n31823 40746\n16588 32927\n4760 25701\n11068 46534\n27065 28971\n18127 30289\n32336 34991\n33891 40842\n16232 21464\n3575 45939\n4886 48443\n1280 27440\n4915 43932\n8259 22177\n1279 35020\n25586 40745\n2006 33996\n5993 20891\n21173 26939\n4984 27406\n43831 47435\n21673 36688\n37625 39799\n29570 30260\n38028 43438\n9410 47270\n4518 23084\n16962 46946\n10457 21160\n46157 47075\n34499 41219\n20581 25117\n18862 47558\n29730 32194\n1134 3399\n31831 43309\n9162 15156\n865 29060\n5075 13193\n24944 42228\n11685 38643\n8604 13463\n37666 44325\n26783 38482\n23836 34792\n6354 38936\n30167 41312\n27106 31199\n4497 25270\n135 28787\n2354 26238\n40071 47874\n3566 41035\n27674 36671\n30437 38319\n13130 23141\n862 36232\n8923 36780\n585 15449\n6137 9429\n23317 36016\n10151 44995\n875 36564\n2525 29588\n18440 35145\n534 27996\n14452 34615\n7048 13753\n36488 42049\n21641 23355\n16874 21999\n6718 31842\n12986 42472\n26036 29882\n42361 46441\n44324 47559\n28569 39706\n13111 35498\n3868 11892\n2450 22115\n27647 44970\n4511 13438\n31991 32986\n4430 6971\n22693 28888\n3968 18090\n10873 42337\n11363 28598\n3108 14773\n7017 16863\n20660 46558\n4391 31256\n20504 31869\n10189 37937\n10756 46252\n4509 5925\n678 20241\n30091 48338\n15020 38848\n11560 41923\n19205 45257\n25780 39529\n10084 21033\n5299 41815\n11799 30293\n7887 16101\n31857 35944\n21511 45821\n11216 12597\n14881 15678\n14189 45873\n3998 33312\n9141 39533\n25469 46559\n17414 32307\n12649 39188\n8781 34709\n27709 46237\n17489 36614\n23814 43043\n21248 23532\n10853 32922\n9182 47994\n4363 39345\n29968 45554\n25579 40618\n19576 42418\n30457 35825\n920 17390\n19580 28065\n1780 18122\n6643 11605\n19519 46372\n43832 44140\n31537 32917\n862 37594\n33438 39590\n4331 32925\n7954 28468\n32663 39937\n29800 41102\n3468 25659\n2009 40786\n43248 46469\n35588 48027\n15563 34582\n36583 46089\n19682 35184\n483 24851\n1895 26155\n45388 45998\n4 29284\n4234 38063\n34748 35183\n22083 32496\n28850 37187\n113 42909\n24418 24819\n13480 37790\n12342 24768\n34439 45812\n18202 43043\n8920 40285\n18080 45036\n3302 11725\n15578 21329\n1830 19889\n1231 31640\n12243 38443\n16908 38346\n26700 31687\n90 43593\n5466 14181\n42106 42180\n6411 43489\n19123 44994\n14374 34990\n1949 5711\n4010 8004\n13424 21753\n6056 7837\n12417 36677\n294 15188\n1300 44136\n25343 34623\n22268 26755\n18723 26855\n3602 39599\n13182 44075\n8082 14342\n46157 48662\n31494 40327\n23177 43219\n25389 45983\n292 39119\n17108 32678\n7644 35679\n21138 27052\n26441 29219\n30333 45398\n35429 48369\n13925 48275\n37923 42429\n13396 36424\n27981 42270\n13561 38032\n5236 29172\n6454 46837\n33691 34714\n19281 23330\n1058 43129\n17430 38560\n24666 36777\n22453 46383\n1492 2192\n30875 43247\n43049 43094\n8650 32109\n16318 37946\n12148 30670\n16608 35929\n8739 11091\n8331 43477\n7718 25379\n28588 28639\n23961 41338\n6819 39288\n37665 47828\n1980 41257\n30896 39466\n17510 47123\n11694 16665\n32485 33643\n25777 28274\n24265 44249\n33692 42414\n10477 26655\n32321 33958\n22831 25554\n26371 29404\n31553 45464\n7736 29956\n13617 27991\n23860 30380\n10966 30466\n10610 11564\n25653 48354\n7226 41242\n5632 42272\n14214 22843\n17157 28279\n12752 46112\n34976 38319\n9731 41681\n29318 37177\n19206 24244\n8006 36385\n29159 32104\n1707 39431\n33819 42834\n31283 40353\n12350 29243\n5038 16243\n2661 26128\n14817 35429\n924 1214\n929 12507\n11314 27921\n3987 23431\n41586 44603\n3104 24981\n16802 22582\n9173 20188\n26789 44083\n29784 34981\n13977 40746\n10021 14821\n22195 46893\n4505 37123\n9742 34415\n8788 17024\n5144 15177\n12158 16222\n14941 23815\n1894 46354\n19742 32678\n35913 37517\n19033 27259\n59 40945\n24019 48652\n4392 45059\n5109 12482\n3803 43529\n3741 20582\n1996 10243\n15235 28632\n12028 33206\n8803 31446\n4520 46825\n24363 33330\n34787 38266\n23120 46544\n18177 34046\n5928 22659\n5390 21159\n18414 38438\n11378 14122\n15974 29068\n30529 44924\n21793 25240\n22150 38416\n19543 47456\n3240 44933\n33979 35158\n25050 43763\n26342 41508\n19113 48623\n7367 19154\n4734 18121\n4887 11418\n30587 31384\n8453 43556\n35074 39529\n30224 41053\n1456 47944\n27103 34762\n14069 25862\n27981 33490\n21127 44256\n16723 34239\n13089 16973\n30622 38621\n46260 47380\n29250 48044\n3473 39308\n1396 2884\n10228 30498\n16270 48270\n15031 39663\n10742 20278\n14698 32653\n10648 48156\n4267 29361\n868 6768\n17048 29020\n12026 24904\n5026 35543\n26318 29636\n32442 44783\n17818 29915\n22282 41838\n11382 44853\n5892 31391\n8972 23077\n23769 39520\n24029 39748\n24845 46761\n5590 11211\n9643 21944\n40223 42286\n11806 25162\n4590 34797\n6542 8601\n23305 27261\n16635 36192\n3069 32617\n11217 34952\n21098 38280\n27693 42055\n28858 33139\n2 9551\n5896 40299\n6798 39409\n5420 22325\n29108 35447\n2922 13080\n19064 46459\n22998 32558\n17024 26916\n22526 35657\n18584 43572\n10309 34617\n14215 46538\n30716 44224\n13547 42562\n13430 31895\n3073 14499\n34652 38908\n7933 13121\n28698 30405\n9522 17994\n554 26273\n8164 8398\n14448 39806\n734 16215\n8528 46018\n12762 14582\n2024 43036\n33251 43742\n28040 35528\n5276 29841\n23252 35753\n7035 37830\n5733 24827\n14057 33466\n4998 15659\n33271 35223\n42907 46919\n39262 42433\n20126 29887\n13446 41911\n3285 27054\n3187 45850\n22583 46669\n3863 33157\n31249 36532\n14770 48094\n14841 31272\n3047 12051\n24997 26510\n4589 16755\n20111 37726\n7379 44591\n31470 32910\n22265 35767\n14579 34888\n33650 48472\n14260 26352\n19446 41993\n7799 32510\n25946 28243\n14310 25702\n1055 32158\n4111 29016\n5794 16365\n22367 26438\n2380 35843\n2964 10535\n39668 44279\n16061 44945\n2389 32432\n22251 44005\n7432 27862\n25655 29508\n3801 40116\n6378 10762\n26124 37969\n26189 28431\n4715 17352\n6597 36923\n14689 44822\n19118 21798\n9469 29680\n8324 25282\n3530 20814\n653 3252\n29045 41335\n24350 27408\n39304 46313\n2842 9346\n12499 35776\n13362 48548\n32115 34556\n35205 43580\n33782 39986\n2103 39054\n32485 43308\n11064 15586\n10401 30631\n23831 46779\n13808 41396\n19851 37643\n34859 42588\n24284 29155\n20634 42288\n25074 35405\n30310 47601\n32177 45020\n1942 31826\n11059 17144\n5759 21358\n5721 30568\n8205 40524\n15484 31569\n15448 21455\n26663 40790\n19437 37634\n23084 37461\n28248 37140\n14988 42207\n16651 18513\n2235 32104\n20058 21391\n17767 40650\n17619 22940\n15295 20032\n25102 30780\n6758 17313\n27534 48079\n35418 45703\n21319 42124\n4963 26476\n23763 33920\n27858 34245\n36431 46323\n8425 43249\n14076 22516\n5114 33735\n33672 38250\n3513 22274\n19851 46514\n13072 13704\n18372 27614\n15959 30875\n22648 31108\n14848 17160\n325 34367\n2648 25841\n10308 40525\n35190 42928\n24592 32042\n12537 45157\n1757 20037\n24635 44486\n5672 45718\n35995 44865\n1035 30771\n15534 26099\n29152 47515\n6774 43864\n13285 32319\n12873 39819\n856 18286\n34901 35677\n30237 44013\n20025 46389\n16897 47358\n15630 16720\n3659 19318\n24165 30488\n9162 24366\n32190 34474\n11292 14494\n30082 48030\n820 3092\n28277 36700\n2271 12913\n18322 46610\n37284 47380\n10678 26491\n4910 47875\n30123 34750\n23159 32873\n2392 12598\n33729 46327\n12176 43278\n29832 41460\n24762 33651\n2183 46263\n21629 43659\n48098 48510\n2703 21720\n14113 34654\n7427 16892\n38600 40388\n905 11898\n10223 30343\n28869 46081\n16159 16395\n10540 26004\n34630 47149\n6301 38842\n14780 20666\n24530 43109\n8459 25986\n9157 15415\n27576 38771\n19200 25332\n589 32375\n22956 32824\n20911 43456\n3650 26521\n23931 29831\n14728 26876\n29308 36917\n16757 37396\n25161 30421\n2645 3413\n4460 11937\n3497 35493\n37482 42399\n19232 38770\n36998 37608\n6449 9259\n2607 12867\n8040 33033\n2507 9590\n25181 32735\n15859 45878\n11921 30369\n12925 33778\n4711 24422\n18961 39775\n4465 22120\n6490 22976\n13462 14973\n18871 23324\n3274 20668\n4271 17151\n30371 31647\n23411 35198\n7990 8651\n5722 42272\n2961 18315\n15017 34303\n36087 47705\n28714 43129\n4946 10074\n3368 24080\n13735 45815\n16275 44738\n5494 42948\n3783 11673\n18967 27846\n13464 38623\n9647 20280\n15168 47542\n32510 46623\n28161 29743\n622 15105\n8570 44775\n42570 43199\n20306 41803\n8387 41925\n5639 17782\n15900 33968\n46516 47412\n13929 43159\n18919 44515\n12100 40626\n29481 41027\n3644 23495\n19816 35069\n34848 37112\n14305 32547\n12221 35958\n17957 41420\n20626 39101\n2990 29582\n6615 26616\n13008 45515\n21738 44712\n9092 12472\n2693 22339\n9593 35361\n2028 38745\n38976 44837\n17453 36849\n19659 33421\n21599 41277\n15025 26294\n4383 40443\n12199 21756\n20276 41029\n16517 45299\n9549 16046\n12542 37128\n15806 36635\n19473 24788\n30900 31826\n25517 39261\n12179 44766\n16448 17260\n12551 45213\n27637 39968\n17065 21023\n14385 43232\n28864 44415\n28846 30631\n17454 41030\n25336 45030\n25864 27383\n1215 22466\n12204 13288\n35754 47454\n7768 46608\n45467 48421\n16746 36000\n16361 35597\n5115 10386\n6337 24087\n35922 39795\n8034 41707\n18973 21429\n28458 28485\n16138 36884\n34227 48278\n4773 43350\n29288 36061\n6828 31771\n13788 45402\n3266 41046\n21752 47702\n26088 40492\n6202 16932\n16511 22722\n35102 38384\n35881 36052\n6900 37617\n31865 39773\n452 2086\n1269 2890\n7095 13390\n241 45555\n23778 47817\n2900 3195\n15266 15864\n5028 6962\n23427 40520\n6622 7705\n21335 47097\n6556 33212\n4090 28723\n35339 44715\n14888 22248\n40172 42247\n9006 31770\n20828 46619\n16596 46226\n10262 26773\n4877 34626\n24147 29090\n30677 41976\n8734 37901\n16299 37525\n10378 47069\n22990 27677\n8488 43115\n18988 34243\n9763 24520\n19509 43926\n26753 32704\n33411 45495\n39573 48550\n29365 33074\n40176 48641\n8565 40569\n28218 42053\n14855 44028\n524 20967\n2144 23975\n15738 36688\n24916 32625\n44729 45571\n12487 33862\n16401 18593\n5117 29764\n32441 38782\n20171 36321\n20303 29656\n19306 30056\n18786 32615\n18217 44971\n17050 41267\n6553 9169\n4455 18730\n35025 46836\n28656 28990\n890 28124\n3989 47336\n16384 21810\n3363 46821\n12477 31688\n4894 22928\n45474 47858\n1775 17197\n222 30150\n13815 29053\n12746 36024\n38968 44329\n12756 45555\n7288 35992\n18294 34376\n20478 25469\n30023 34719\n18023 43262\n26816 34740\n18932 48252\n20440 45829\n6556 22684\n40251 43450\n27659 46185\n16739 45978\n30931 40499\n12645 41783\n22673 33207\n31775 40890\n25699 28488\n25410 43340\n10515 44650\n8608 23270\n23474 45690\n7787 10619\n34580 42389\n25993 47629\n6837 27413\n43963 47273\n1957 46912\n9837 25443\n1076 44239\n34725 38212\n16249 19163\n5155 46195\n7676 47588\n18862 48113\n10249 37155\n2332 28756\n11269 23397\n6643 13961\n20661 42459\n564 18122\n27872 41312\n1305 37747\n25971 44504\n27475 43935\n39528 45656\n13514 35529\n1850 30735\n24775 38111\n25517 46351\n20668 42453\n3586 33270\n550 5210\n39227 40956\n26907 43977\n1787 14657\n20188 30667\n4958 39257\n12544 43381\n29249 29989\n7016 28264\n39352 44206\n18244 21973\n28490 43435\n11062 40235\n10680 15803\n30004 37438\n3304 29446\n4171 42408\n17994 43833\n27760 33629\n21886 22450\n19167 40866\n8111 14271\n16014 30792\n7486 21925\n94 33052\n26485 33426\n12716 24973\n26342 46537\n11005 30403\n27641 42704\n52 10621\n7947 37460\n21367 21379\n38531 45989\n12824 15105\n9038 37348\n8 19048\n18238 48026\n23711 30938\n3680 21125\n7125 30521\n29479 39753\n26451 44860\n6031 45232\n7707 24397\n41834 48577\n4923 9863\n13230 44531\n16732 37716\n6489 28702\n8899 35392\n6400 40337\n39742 41648\n26898 31635\n20618 38365\n10941 22213\n18835 22397\n20900 47065\n17720 37608\n39027 44592\n38096 46575\n19527 38150\n22317 37241\n12875 37389\n12175 23935\n1867 3529\n19461 32416\n40398 45372\n14855 30575\n18471 31660\n20408 21179\n1989 22507\n6306 16951\n566 39750\n29495 48133\n20593 44046\n20725 24421\n9327 16036\n5180 40341\n15513 33978\n31670 46250\n33792 44413\n1618 44412\n22891 43537\n18921 20048\n11631 16029\n35208 43808\n10155 36160\n10599 31506\n26222 32741\n20928 38715\n42502 46350\n36263 47358\n4579 17180\n19896 37429\n9621 12754\n9686 27201\n21923 33857\n4950 47507\n6629 35030\n2601 45940\n6357 36327\n41529 41928\n27214 44345\n29846 37693\n20085 20309\n4862 36756\n28870 38721\n24618 37304\n4672 14901\n22536 37059\n34324 44030\n43145 48568\n22934 34305\n13928 24988\n22479 23006\n35665 41567\n29565 35048\n10122 46073\n5724 10258\n10673 17497\n11538 20758\n25458 29283\n16207 31729\n11356 19628\n4377 35903\n20840 25058\n37482 44796\n2779 37210\n9147 21713\n14542 18775\n27825 46996\n3782 32715\n38510 41671\n486 31695\n7936 16389\n20644 29154\n25608 47730\n9296 35212\n8701 39627\n21766 41224\n3245 35561\n23328 40396\n32899 43813\n17650 42017\n18048 46851\n18661 38426\n13254 27808\n23519 39059\n1321 24488\n2544 14954\n1145 41914\n3158 16609\n13062 13171\n30514 37677\n5645 17317\n9306 38188\n9159 38130\n22156 26982\n2509 9976\n18455 43977\n27615 28367\n947 6033\n1907 25143\n27403 41852\n13119 23868\n21648 38220\n5936 32662\n24301 44229\n16821 25110\n14591 35457\n10163 44856\n12935 47857\n2141 40900\n33158 46914\n4608 37842\n1194 7777\n25997 26948\n9399 32631\n2408 30020\n5541 10882\n3075 28136\n7824 13972\n18111 30564\n31717 44068\n20906 24373\n4689 43320\n19650 27774\n34172 42583\n8129 28389\n3158 41608\n3919 15997\n3594 18337\n10941 26686\n1352 8380\n24125 27606\n12937 40300\n14472 20088\n2473 16006\n3328 42876\n31272 43171\n19233 37704\n13642 26005\n3443 12826\n9142 32991\n23960 30452\n17360 29420\n19690 22190\n16003 22085\n37755 38157\n18712 31466\n15797 44791\n7089 19299\n26987 42783\n8911 39001\n7732 30927\n10043 23525\n12888 45595\n9171 25419\n24467 25377\n2802 25219\n5784 33078\n35499 46761\n25469 38134\n8512 31458\n10591 22973\n5585 17728\n17730 48004\n40433 41955\n33942 39100\n35926 40115\n563 40487\n1344 41311\n31981 43146\n25848 34211\n192 7965\n20289 47174\n30831 44414\n23621 29665\n241 46241\n9061 23974\n30029 30083\n24741 26364\n29462 32936\n9353 22443\n4934 12036\n5239 14578\n20929 26178\n16631 28839\n8565 43133\n4765 44615\n20630 35105\n11826 22802\n7703 46101\n21488 35235\n2919 34552\n26550 41896\n10279 41474\n19311 22635\n8650 44609\n13020 39060\n27874 41240\n410 10026\n7790 42734\n17523 42730\n16538 31277\n5613 22080\n34358 47742\n15717 35086\n16025 23290\n33273 43846\n3130 44662\n4673 8940\n19527 36228\n29718 43536\n4097 5242\n34041 38458\n2471 41325\n32129 43543\n25903 28994\n33949 42056\n23817 32429\n23407 41319\n14508 28793\n28979 37075\n42386 47491\n41148 43394\n29062 40801\n22972 44789\n40722 43644\n4312 5587\n19133 33679\n12580 18891\n5451 32191\n40571 48140\n10189 44746\n3093 5675\n1435 23471\n16871 34510\n15049 28981\n9881 34885\n19254 41551\n6008 26073\n5619 24374\n32798 38502\n15993 42725\n5895 13733\n3410 15900\n7758 21322\n30414 31303\n21051 43919\n7936 39021\n32344 48082\n21770 23721\n16455 27379\n19411 29309\n34951 38553\n15522 18339\n2102 46277\n5307 6727\n25647 43756\n11597 24694\n27548 34202\n19984 33762\n8855 32932\n1618 45861\n25892 45116\n19134 39554\n27745 44372\n7887 36226\n42280 48676\n705 10216\n17479 48232\n29953 32002\n33938 40828\n474 22554\n1810 33483\n3863 18887\n9029 13528\n8764 28478\n10882 25775\n1323 38408\n4343 20104\n11682 23123\n17535 38878\n16153 42413\n20796 32600\n1392 31336\n8278 36205\n10232 22787\n8056 10313\n16301 24752\n2944 23687\n2064 26745\n16899 28418\n14721 42987\n7885 16588\n1702 22830\n1813 7364\n6933 26200\n6119 12054\n4299 47068\n4452 38219\n29548 38811\n4492 28415\n27728 31165\n2047 39504\n4408 27909\n3558 45928\n41691 43280\n10411 41695\n12269 17322\n1493 9275\n14230 42915\n1709 8206\n26556 30649\n5304 8548\n1455 29925\n18675 36532\n7662 40009\n25146 36590\n1769 17450\n14239 43305\n33155 36308\n24498 38638\n15821 23385\n35649 36018\n3822 45037\n41658 48544\n7536 42892\n10083 18755\n6461 22411\n19975 35190\n10569 31522\n1588 20560\n5837 21670\n5848 41460\n850 41742\n4759 39101\n25940 28962\n26933 45939\n12103 12772\n299 21092\n25990 31856\n4065 48126\n560 35787\n21514 35050\n24880 26513\n3661 14598\n14372 17094\n4391 14912\n8695 19988\n24188 27122\n8076 41635\n28211 43623\n17875 24837\n28995 35393\n16055 21913\n4107 29244\n27011 30673\n30048 32691\n39548 41483\n3245 29346\n31679 33447\n16170 20390\n13933 31402\n34734 47913\n14860 47297\n37639 47186\n17121 20772\n14449 22361\n28409 40163\n1571 20686\n10018 13321\n34786 35436\n8587 46173\n32681 40899\n106 18691\n10975 12693\n6854 16800\n13160 44909\n22829 47402\n30432 33648\n11067 34703\n21493 23421\n32996 44091\n3072 44122\n17884 47021\n30007 39402\n10877 43308\n1251 35331\n8859 39954\n32643 41756\n24714 34704\n13747 23661\n8699 13136\n20624 42165\n15681 44559\n18225 39905\n19228 28692\n23254 47250\n23339 24568\n4097 23160\n25347 44284\n10211 21125\n2751 7566\n22513 29648\n30339 45819\n3368 5634\n14174 18531\n34566 47329\n5179 34136\n12432 36347\n1868 20707\n12259 26084\n1368 38710\n1788 23012\n18876 42558\n4676 9030\n8615 25098\n14095 41583\n23762 24605\n22383 26506\n732 46350\n9117 48325\n11278 45481\n7047 37004\n29941 44994\n6681 32760\n18083 40594\n3034 41701\n15974 45450\n22870 45279\n1949 25587\n9977 15828\n26293 40093\n31590 41638\n12020 48220\n30070 43813\n11393 39755\n16185 42293\n12766 15364\n7751 39789\n3038 29059\n6786 47070\n9744 27468\n4627 23899\n3674 35535\n31677 33753\n38183 38855\n33467 42411\n19589 22870\n13391 22248\n27645 43418\n11635 15860\n9643 32583\n2680 36533\n22142 48426\n2302 14899\n13187 16479\n10379 43057\n19148 33776\n15532 42227\n11887 24608\n35844 40364\n15177 20576\n28233 34198\n11854 45687\n24259 38752\n8294 17735\n6888 10751\n3516 20243\n36069 42495\n12122 43197\n15839 48113\n24201 42395\n13813 16447\n36991 46036\n12643 44853\n4521 29034\n36116 46430\n34732 45783\n5796 40861\n1633 36049\n19073 29921\n9466 24253\n6160 22510\n6067 7291\n1602 6867\n25530 48315\n1515 26065\n20220 41501\n8995 36983\n1826 35265\n8235 43970\n6235 29163\n7726 44417\n43134 46920\n2665 10991\n27794 47576\n11036 20605\n12714 36538\n34421 39886\n36829 47227\n10753 17642\n31099 38767\n37324 47431\n4534 43150\n42728 48363\n31280 45542\n17128 41542\n3533 27182\n28521 47580\n464 23790\n23179 32128\n22036 22927\n7506 17732\n16573 23529\n19737 23863\n10741 35211\n10954 43789\n7481 47644\n17798 48281\n11872 42857\n1991 36773\n25842 37542\n7322 35198\n6991 17397\n17656 26301\n32654 45386\n23487 35425\n3585 47134\n12977 18453\n4643 45881\n24404 32796\n2942 34154\n32606 44632\n10736 13150\n898 47429\n8497 8970\n2783 13500\n4793 39224\n37201 42997\n28603 44447\n23178 41043\n9309 36312\n14661 26144\n44269 47750\n24704 46763\n20814 31654\n20647 40807\n12952 19981\n21841 32326\n15063 43720\n9570 32614\n8001 16651\n3958 27375\n13664 36702\n11725 26022\n16661 35959\n6842 29636\n41990 42214\n13782 40561\n18559 45246\n1316 43196\n9109 12526\n1162 34121\n365 40814\n12096 21875\n15392 39728\n30745 33520\n3837 21025\n1826 25529\n30049 40220\n40561 42519\n3643 8222\n11075 38598\n24517 30803\n28442 41447\n1507 3869\n14461 45887\n7029 24399\n15383 24847\n2679 38986\n24616 28217\n1410 6068\n9556 32194\n16769 42756\n7308 12364\n31500 37271\n19707 23108\n14230 32041\n661 11978\n13884 45676\n47162 47936\n12848 25067\n29797 44282\n4897 41333\n17370 26513\n44178 45364\n649 21144\n35788 44572\n46012 47779\n12168 46183\n2940 5486\n27488 31892\n6920 17273\n7715 18110\n15757 43421\n45785 47764\n9728 15576\n14655 40017\n14274 24393\n3126 32484\n38285 46316\n25424 30381\n5163 26563\n27182 34983\n33780 38615\n31684 35808\n24872 35396\n5459 11217\n13407 16772\n3471 46030\n7430 32178\n44095 44596\n22723 35116\n8442 30225\n11512 18826\n14213 14421\n15801 21987\n30927 38316\n9842 24437\n10831 26712\n26879 39439\n880 5150\n20857 43922\n21870 38128\n24377 33062\n13265 25278\n11518 25864\n4170 15964\n5937 9428\n26730 37557\n33002 46530\n2022 15274\n676 41597\n9860 43771\n2271 38771\n32160 41669\n37182 47866\n34000 34967\n8047 40550\n23758 41725\n12203 48632\n10196 24818\n12843 24404\n37234 42609\n33379 37980\n21973 24721\n5010 30362\n11599 12420\n32155 46990\n26441 32305\n14619 35899\n16842 38719\n20432 21821\n25288 43710\n9631 22641\n5592 42436\n8885 18604\n11479 28756\n29623 40049\n41109 44471\n17638 34052\n14932 22249\n1126 11709\n7633 11328\n22574 24549\n36302 39587\n4836 20226\n20971 36433\n14631 42806\n183 45525\n14457 32476\n1331 38823\n5386 19246\n2716 14261\n19648 28909\n14310 23460\n35795 42037\n9114 48409\n4308 26053\n4537 28994\n12239 43361\n10728 46427\n24345 42580\n2035 22119\n31381 41843\n20234 28816\n1287 34565\n31758 42320\n2779 48352\n13267 37382\n38920 45665\n24573 34259\n624 25015\n750 44780\n9962 24422\n15799 47969\n15786 18880\n2374 37358\n14565 38449\n1293 29706\n2503 5304\n17413 47805\n17693 18220\n20342 38307\n5624 9812\n28317 36771\n7331 14292\n16892 17604\n15589 27569\n20890 33967\n46975 47285\n6954 28945\n3245 19045\n6701 27258\n27787 28448\n9808 38870\n7509 30135\n30717 47939\n15899 48497\n20862 29804\n8390 12662\n17076 39866\n36858 38827\n33272 46558\n31592 37933\n23702 24433\n12615 13564\n11868 38690\n20573 22315\n5516 33412\n11263 12244\n18538 38556\n30824 33907\n2579 29928\n37840 39052\n620 7114\n706 18014\n3503 9900\n34886 41231\n20808 21613\n9324 39396\n973 12646\n12750 40756\n8678 36351\n8988 45723\n22 8484\n5461 44219\n18486 32426\n23846 39017\n7683 39770\n5354 9677\n4006 33106\n25476 35216\n8710 37001\n24267 45140\n13488 15974\n23232 48268\n25234 35598\n21977 46081\n29107 37857\n16955 40087\n17986 29233\n15199 29282\n24549 42008\n24833 33404\n17640 45110\n12912 44314\n15223 24403\n6815 10363\n20669 42660\n6045 33299\n18382 35863\n20189 31695\n3663 7723\n20471 41228\n9809 37573\n39618 45508\n22680 31558\n15090 45295\n20965 29166\n3873 5858\n26735 43487\n26494 30491\n10673 28867\n10473 41102\n1486 28602\n9256 36327\n13915 38979\n5003 47993\n23845 34893\n10425 46220\n2274 19442\n1029 4864\n27231 27695\n26259 43507\n11267 32459\n17142 27909\n19984 21536\n18264 19281\n14751 37874\n18135 42862\n14978 19219\n17109 25766\n20137 40616\n13206 19059\n10506 43619\n8294 22455\n5098 11808\n41766 47774\n4575 22254\n21778 28382\n1599 33299\n22988 28198\n22007 33992\n16408 43974\n35093 41633\n8126 12776\n34329 41681\n3736 31168\n16602 41955\n13449 47952\n16581 24704\n21140 30013\n11592 21534\n22759 24239\n27512 28460\n19174 26452\n29394 33407\n22828 26563\n885 30003\n11065 18298\n12466 39425\n690 43424\n26705 35338\n5330 5706\n2350 47961\n10546 36982\n10736 30201\n37821 47528\n7747 24870\n7189 18250\n738 20281\n9734 47137\n17380 28218\n43187 44224\n559 14527\n15650 29176\n6529 35403\n21923 36886\n1180 31194\n17390 45285\n2477 28065\n20030 28831\n1224 28725\n1817 45264\n17263 28465\n14098 43397\n19572 40552\n23187 27733\n14518 32395\n34340 45672\n21272 37836\n6534 27197\n17461 29953\n5111 35375\n2046 20349\n19174 25701\n74 1204\n7854 25086\n14077 32582\n38824 46493\n22633 27408\n1678 13145\n29822 33670\n41747 47619\n6732 8834\n18212 40958\n34225 44616\n268 42598\n8233 15265\n5597 17373\n1322 45772\n872 38432\n364 1213\n15560 28439\n5805 32100\n2828 3000\n19999 28761\n18668 35405\n39280 39986\n28052 38096\n11016 33288\n10192 21276\n37427 47529\n24547 36677\n1346 25045\n15391 38022\n620 48196\n23100 48362\n21157 34686\n17627 32031\n29061 43596\n24520 29507\n842 22721\n16684 17361\n5573 7027\n7882 25932\n8838 26265\n18860 42770\n8880 25620\n11899 36430\n7008 9735\n5311 11784\n39230 45256\n14146 27938\n30462 37553\n38182 43560\n26104 38358\n9148 32653\n19629 32521\n22709 36234\n3940 21112\n31746 43839\n25932 35719\n25708 38403\n31074 35313\n26606 33984\n29568 33938\n11894 13015\n5181 20255\n20111 26537\n10692 25580\n33329 44309\n8156 8776\n20619 34527\n15281 27698\n6058 43771\n9698 11744\n8274 8611\n13100 18126\n5517 48354\n33240 42923\n2163 5933\n15033 31774\n16939 33295\n11413 29909\n8137 41269\n30656 36194\n22578 37679\n11426 14492\n1876 17168\n31209 38796\n1043 7619\n6172 20799\n17070 30257\n16099 43302\n23483 36386\n6025 36237\n12387 25101\n41122 44406\n22136 31362\n24613 45439\n7394 22188\n3433 24268\n19741 43418\n37622 46725\n18719 22436\n38396 40255\n9695 14881\n11769 17609\n12165 20343\n12262 16513\n37779 47703\n2157 10029\n29265 36761\n10279 46648\n4175 38864\n5818 26354\n9853 36711\n12676 19061\n6108 7598\n24479 29671\n7375 11068\n19488 39258\n15598 35794\n14442 43668\n30901 35835\n13620 15997\n25199 46038\n10018 27451\n1463 30023\n5579 34925\n7553 12859\n12375 12947\n954 41150\n30101 32242\n33536 43774\n1850 41304\n10262 18351\n1127 20032\n7278 13650\n1743 25897\n5799 11495\n19487 45151\n4305 19027\n7414 23471\n17126 44477\n41987 47785\n10172 47734\n16589 35193\n10317 12379\n29432 44252\n18269 29661\n10067 27589\n11561 43262\n20870 38742\n21225 27538\n28934 34382\n11027 17452\n16345 43485\n651 14538\n36941 37203\n2659 34255\n4317 33423\n32818 47936\n16968 35383\n30183 44789\n20950 31562\n30357 34816\n7644 34608\n20454 39541\n477 10661\n2713 9507\n9276 20280\n21984 34895\n39508 39713\n1982 16474\n21999 22288\n36747 39579\n31287 47265\n16152 39546\n22170 29292\n18684 24822\n299 7276\n7847 39774\n21999 38255\n24273 33954\n20859 23940\n23960 25085\n9011 43914\n30333 38464\n29534 38003\n12418 47889\n16455 47785\n2060 31375\n8512 9270\n34176 48177\n20272 47446\n24189 31134\n5330 16073\n1248 38854\n17350 25503\n37811 42160\n29600 46654\n19784 25222\n3981 40781\n20886 31360\n1541 15995\n6696 47253\n24252 39690\n11574 15918\n4010 31586\n31554 44031\n9916 23540\n7578 40324\n26818 28307\n1762 7007\n22186 30637\n31506 38034\n28875 41548\n1815 5067\n9693 44449\n26053 26148\n4753 28019\n38210 41743\n4225 40095\n3986 16876\n20107 41917\n9780 18810\n33458 41946\n42378 46264\n1730 27967\n32083 32742\n5084 6772\n12604 22273\n13081 15904\n25654 33231\n18171 28248\n9119 42089\n16448 30733\n28831 42192\n5993 6360\n11299 26930\n10646 15279\n5409 34112\n2265 35307\n36176 46620\n1355 45099\n1689 37502\n6944 48189\n33176 39764\n19797 38038\n12042 13742\n27708 36134\n34131 36341\n9867 25135\n33165 44795\n16857 45725\n20166 44444\n39060 39240\n4842 12788\n369 42976\n3972 13737\n314 45438\n12542 34399\n25350 36783\n2062 22470\n8868 35997\n19269 23267\n5050 26354\n907 33417\n15831 18421\n46717 47706\n38596 42296\n10620 29532\n5938 25729\n11831 46548\n5000 37634\n3464 40484\n278 832\n702 9908\n14936 32506\n10874 14667\n5976 12362\n24214 26723\n466 3430\n5724 33369\n42888 46073\n7978 40336\n6565 33827\n22496 23930\n25569 39381\n583 39910\n33821 45919\n2893 42393\n6528 13626\n11017 19092\n3623 41980\n746 6402\n18659 19010\n27886 45541\n30298 45829\n13125 37713\n35518 45455\n32497 33077\n2034 28478\n12153 34185\n36344 44628\n25703 31142\n24727 47740\n21121 22909\n11300 24212\n41577 43824\n1766 31939\n3124 30431\n8172 41214\n5216 45491\n21474 36459\n3568 24465\n7072 30949\n9849 19738\n10059 30978\n20498 25151\n16321 33705\n135 40165\n21617 44888\n2414 15183\n7818 35306\n3826 34575\n39029 43347\n5240 42190\n172 17001\n3179 4039\n12220 40123\n12507 37719\n13595 15464\n11212 34903\n24396 38090\n28876 42438\n12065 17134\n14588 16545\n12741 26313\n9571 15412\n12737 36554\n34381 47097\n4502 5728\n27358 27839\n31452 47637\n24543 36189\n29538 39716\n16403 47453\n4181 28427\n20941 36559\n22414 38235\n45515 48621\n20449 46555\n12980 40027\n5084 33136\n17420 41223\n40803 46599\n1941 21513\n7829 27522\n22174 24838\n21030 38615\n16124 24965\n37078 39311\n18099 41418\n6327 44758\n41868 48345\n5440 11935\n10296 38685\n36836 48160\n28398 37780\n17372 30215\n28722 32458\n26864 38807\n20189 47025\n30521 38049\n30351 46603\n15802 35082\n29787 46468\n7997 10614\n2613 43261\n24879 37084\n1362 41920\n29064 43141\n1803 48132\n35305 38295\n19155 46346\n29048 41195\n6646 9535\n1085 7379\n4373 27750\n12684 25486\n30355 33822\n3813 17337\n1428 22109\n17521 26096\n23550 34441\n9966 40399\n25590 29868\n10767 39918\n13552 42935\n4892 20494\n21884 32888\n14830 20930\n23100 39375\n16987 26758\n40197 43914\n18871 31816\n21202 46805\n32390 36116\n14588 46039\n3565 32625\n18138 32334\n7542 40441\n2645 44722\n14813 33180\n8478 47331\n3063 22442\n17589 26660\n7532 12553\n5672 29142\n2722 7334\n17448 35435\n10632 13096\n12590 47780\n20202 26536\n12225 45779\n15666 44734\n40288 48032\n1458 7067\n12705 31344\n5625 25619\n14629 22089\n10091 32281\n42424 44199\n30509 45182\n1702 21716\n21614 39351\n455 47198\n29828 45229\n8346 33146\n30309 45092\n15060 43804\n20831 26679\n1926 16050\n28974 47353\n1018 12711\n11441 37196\n3060 17087\n31256 33384\n10171 11765\n5567 39484\n14193 33255\n4402 6937\n22511 22883\n22522 25587\n16170 31755\n4857 7609\n3426 24232\n6791 29523\n19366 28597\n7630 32170\n30120 32450\n11709 27944\n1758 30600\n11176 34851\n32 41478\n15880 34990\n15657 42877\n8456 44413\n24917 33830\n16509 41495\n8620 38257\n45336 46305\n6175 37835\n11986 17960\n36451 37661\n830 12083\n784 16027\n17329 30764\n10357 42068\n17932 37978\n93 34658\n23851 29404\n6033 47989\n36628 37237\n16511 27324\n25753 42089\n5673 44575\n800 1330\n3736 22024\n33711 35881\n19070 46775\n40080 44873\n6093 33490\n6230 34816\n36220 37630\n979 26534\n3446 31272\n23716 26347\n9781 48074\n12694 18978\n8380 41084\n2313 3363\n10734 16902\n1968 6360\n27349 40160\n16840 18740\n33547 44987\n26529 37362\n27632 36077\n821 42081\n5456 24931\n22454 28269\n655 18892\n27863 39632\n5404 8136\n22222 44246\n5885 32430\n33681 46072\n3474 38892\n18299 33540\n23848 32142\n39424 41442\n12662 14686\n31323 45930\n15666 45641\n16790 47720\n5715 7223\n16411 17646\n2297 48089\n15712 27786\n36461 45458\n6535 19582\n9936 13964\n13617 48297\n6614 10903\n23496 46249\n13483 32530\n14539 47607\n34295 46765\n19119 26336\n30566 32981\n28029 29467\n22378 30501\n20575 35946\n17980 48222\n3812 47314\n14346 15956\n1990 7578\n15671 44780\n20478 26788\n892 6027\n6214 31925\n4356 22647\n16320 35269\n17144 36301\n4442 30005\n14293 25420\n16364 18083\n33830 44283\n1871 17370\n6893 16584\n10854 17504\n26108 42846\n5248 23259\n5954 32578\n6024 28064\n12922 36655\n23474 40611\n1961 14325\n19344 41893\n34472 38173\n38257 42524\n7112 25824\n2414 42335\n965 23343\n8598 28279\n4260 33354\n19328 44922\n12150 28015\n20843 32240\n22510 36701\n30975 38085\n3886 7262\n6038 46144\n26814 32875\n35091 35395\n3376 11200\n27886 38176\n18904 40843\n31393 48100\n26785 47302\n5954 16884\n26387 26741\n2931 33194\n33325 36072\n18071 36546\n41932 44454\n22389 47615\n42402 44524\n17283 21139\n1308 17266\n3497 37571\n6999 18039\n6019 23401\n738 44371\n20714 41707\n5257 23015\n30245 45772\n14965 46060\n2913 46745\n21735 29516\n42151 45402\n14890 16458\n32601 41925\n11965 31205\n32811 45291\n13881 33259\n15186 35531\n33233 35533\n5407 11482\n24199 31629\n5082 24651\n13476 25854\n5357 15013\n26900 27770\n2998 27420\n2956 21070\n16585 25422\n11379 48312\n5529 48177\n24208 48035\n15985 17075\n34909 42243\n42896 47750\n10268 15813\n23734 26695\n6875 38222\n9156 44432\n42738 43980\n3036 14597\n1590 19487\n30552 45675\n7270 38049\n24956 46240\n14293 16234\n12794 17073\n23536 28471\n20954 36640\n22315 33693\n24313 36498\n20644 42191\n33779 36182\n23305 33171\n3674 8189\n7354 27268\n29914 37409\n13161 21755\n5877 35176\n34907 47800\n39443 48249\n12238 15568\n13614 29283\n13812 14031\n18041 40893\n17854 30832\n12930 27353\n5996 20892\n9525 41655\n3806 44100\n10202 39269\n33948 35429\n10372 12027\n3494 3949\n3125 40606\n6186 41694\n24689 33050\n4073 33734\n2384 33048\n7795 29110\n35372 35608\n12165 25665\n31501 35982\n4040 22615\n1606 20698\n20391 23842\n43205 48153\n23914 31990\n13029 37432\n44541 45829\n24016 36958\n34534 39630\n27903 31271\n2132 37810\n32027 44880\n12993 18572\n43658 47794\n261 43756\n770 9497\n24115 32734\n10483 15776\n5722 43142\n11587 23928\n26315 46593\n20690 43806\n35394 48319\n3766 30592\n20564 32068\n8546 19229\n16018 16160\n8231 19604\n9460 18929\n8630 43468\n15703 23777\n43627 44508\n5008 21230\n1678 26572\n26925 40582\n41225 43447\n16968 37691\n16342 32707\n5944 11902\n3132 16000\n34794 40814\n",
        "output": "332\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 86,
        "task_id": 541,
        "test_case_id": 19,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "53916 13533\n22066 23718\n32600 45298\n3040 14219\n3443 23405\n28942 52980\n50210 53348\n31593 48636\n29609 51862\n27092 34876\n1365 40467\n19778 26176\n37860 45055\n42899 46246\n3429 51171\n49891 50648\n13352 21912\n14797 29590\n4176 53522\n11719 45835\n13245 52031\n29079 53613\n3473 46765\n22515 47682\n4784 31098\n1426 49011\n10140 25662\n25621 41358\n7350 35233\n3932 26417\n16132 32930\n26652 42442\n23447 51797\n11772 38069\n40729 50259\n10344 38471\n1294 39677\n1796 8063\n3789 20879\n4103 9753\n7308 40306\n28659 53193\n23034 39987\n14894 23171\n15414 48391\n12638 36490\n48469 52129\n8438 16505\n37213 40913\n12635 45342\n11025 17815\n4813 28092\n31447 34741\n18325 46719\n9707 24701\n3205 31013\n26469 51473\n14799 44012\n16239 30339\n21582 40920\n3137 36798\n10603 47713\n37940 53061\n29540 31294\n33391 53259\n30332 48838\n46572 50047\n5165 42248\n15845 19100\n20535 35340\n38000 39376\n2127 35419\n8056 48881\n22143 32519\n7520 22993\n1723 21933\n13540 36148\n12789 32215\n104 40282\n10362 42651\n20865 44751\n9177 36173\n18880 43436\n40976 46020\n8315 36303\n11904 43664\n42652 45507\n26142 35699\n605 5607\n17354 46746\n13389 45288\n8505 27038\n554 4884\n11364 34592\n8229 37036\n40022 49711\n15891 33719\n3129 46023\n22028 44312\n19426 23550\n3830 23887\n46521 49110\n4046 29351\n10910 18215\n24023 33342\n7242 17994\n18149 51549\n15745 22950\n6474 33819\n25947 36905\n13596 22557\n27314 29671\n5814 40715\n6450 17586\n1622 47450\n8612 40797\n7910 21838\n10660 22430\n36201 48101\n19461 46571\n9058 52554\n12521 15930\n17131 20219\n17075 33307\n30664 37145\n849 17702\n22286 47480\n23473 23796\n31413 43435\n15803 42603\n7275 31357\n31654 49831\n8476 32166\n30929 34577\n29522 32009\n42476 49666\n33620 42936\n1040 51095\n42574 48973\n1896 20555\n16419 31454\n27056 29644\n14743 33713\n24458 53032\n250 47997\n14290 25530\n12726 13149\n35502 48786\n17214 39412\n17857 19498\n17297 40507\n27190 37509\n6590 46156\n8065 21646\n23889 43447\n28934 44711\n398 51368\n28355 40976\n1200 23625\n4375 10670\n7711 30179\n13124 47437\n6347 37674\n41259 44197\n16780 49817\n3082 17531\n18707 50833\n47453 47705\n43796 50196\n17905 24613\n26975 30910\n26055 30316\n581 9101\n21770 37370\n15414 42000\n25037 31475\n31673 51030\n20051 53301\n24659 29529\n26840 51544\n10666 28461\n37148 41238\n13738 50253\n20443 26107\n13921 48265\n25622 26170\n33180 49178\n14537 48752\n40701 49733\n36739 53602\n20473 23453\n5910 33359\n406 51354\n38876 50259\n26425 50950\n45191 46742\n8916 21359\n4309 39189\n37460 52136\n32049 44357\n22914 53239\n10146 32202\n370 50053\n10506 32643\n21954 34766\n8776 35981\n18891 43763\n12844 13912\n9566 29105\n9207 10811\n17068 24593\n20093 47457\n29193 52505\n12414 23600\n19931 30366\n610 23733\n44695 50924\n26927 31533\n43317 45030\n29983 40352\n27550 32938\n27164 48025\n16744 36177\n30348 38256\n20932 21525\n11239 25433\n29009 51786\n33080 39046\n10546 30817\n19241 52400\n3097 7534\n9446 49944\n7042 22980\n6318 20512\n27937 52381\n7412 23288\n18371 27366\n36284 41906\n5514 50532\n2463 16146\n14858 26628\n23505 49731\n20064 44253\n4813 14419\n28389 43705\n46597 52304\n10845 44634\n17667 49203\n24950 50909\n1757 11378\n1883 42786\n42749 44835\n5899 26892\n12764 41522\n17944 32870\n14569 22679\n27339 37094\n38430 38787\n31270 31739\n37265 39499\n15313 21610\n5744 26476\n20375 39505\n22825 29728\n16393 34183\n3040 44919\n7684 46084\n33564 52420\n37660 41571\n38282 44138\n22803 40897\n12274 21575\n36225 43275\n9470 26698\n23408 45272\n48830 53611\n34848 46708\n14586 31122\n12749 51582\n11946 49006\n6344 13401\n23660 48324\n3900 19115\n39710 46897\n13699 22521\n27639 34447\n19047 26037\n14256 35645\n18021 45730\n3150 34111\n33343 48903\n43078 52301\n33310 41216\n34946 41948\n6992 18722\n29354 48345\n25762 44819\n8961 39466\n3694 25516\n6054 9627\n8152 35493\n2364 7455\n6809 11473\n11912 51084\n27166 43240\n41489 51618\n4609 9423\n42037 52621\n29438 34731\n31473 44306\n595 32979\n37431 47229\n23930 34990\n35473 39353\n6437 39877\n194 37477\n21132 39510\n4802 31834\n13727 42506\n32034 40608\n1179 28634\n6933 17680\n46998 50142\n1336 42722\n9271 18353\n6491 9134\n13891 49710\n1046 30135\n11952 40706\n16597 28378\n19490 53341\n11323 36729\n16931 43945\n39121 53549\n3466 22800\n17121 22797\n6350 11064\n43387 51698\n5280 33269\n6000 10419\n2071 22587\n23113 47664\n17202 24576\n28661 31175\n10309 49181\n34533 47841\n8243 32026\n27657 37749\n15138 43022\n23249 38434\n5316 10051\n26367 28614\n5563 20832\n31349 46568\n42023 47453\n37332 40729\n31709 40933\n38149 41684\n10638 27317\n8067 24156\n13361 16362\n11721 39944\n24085 47293\n28719 51538\n26793 39377\n32058 37029\n21334 29494\n2722 41217\n12443 13055\n21266 46807\n18223 43020\n14796 52483\n12782 34100\n2578 48800\n23454 34168\n42470 51427\n12644 36855\n10139 30507\n14412 37203\n20712 29675\n20332 26483\n31652 39293\n40384 53123\n37656 50236\n4475 36325\n6742 52810\n35 6594\n8044 34223\n1742 28621\n34190 48380\n14330 40733\n35721 52822\n7887 15786\n38423 52423\n10405 52530\n27237 49847\n32867 33877\n15404 34245\n16657 29385\n39350 43445\n43079 52603\n46145 53310\n18703 53311\n10902 38234\n2527 8160\n44249 44903\n31701 43265\n34434 46451\n8062 29824\n25143 37287\n15190 40212\n8065 17905\n3961 6944\n9926 34167\n22991 52514\n29948 36472\n28919 39909\n25449 43703\n2470 37653\n33725 42766\n35280 39510\n2340 41691\n25813 30274\n12767 30162\n11899 52164\n18703 44494\n21462 47966\n18296 26469\n31721 36297\n25014 46824\n863 30881\n41931 42318\n33232 33518\n27309 51349\n28974 37779\n7985 44241\n319 39660\n38197 44991\n14137 37978\n35312 35847\n10171 34410\n38978 44305\n21532 37616\n23171 53822\n13316 18128\n2908 51834\n8615 34251\n16717 34015\n20328 29758\n48988 53713\n37839 41989\n44354 48026\n8571 46665\n1962 30724\n857 40223\n32022 47382\n42957 53723\n11191 34925\n18148 51651\n30751 36637\n24146 48717\n8052 17465\n44046 49040\n10189 22078\n18663 43158\n11954 35341\n16000 28598\n19124 48932\n18279 24944\n15326 25135\n21334 37655\n20106 49524\n27768 30061\n39490 46310\n15234 20307\n18006 39224\n5222 17937\n30795 39163\n23800 44861\n6813 51889\n36622 46753\n2859 42853\n15656 26108\n5818 33012\n3136 49419\n9141 36007\n28030 44971\n39780 45048\n47399 48542\n12224 16994\n22658 35920\n13355 29526\n33311 33498\n27593 31741\n5047 52605\n5553 31468\n4963 8187\n18815 47125\n23968 46965\n35024 45884\n1 5761\n48628 51027\n10494 35191\n10958 41069\n20524 37640\n39273 50913\n13181 44961\n7048 44652\n43264 53063\n26867 29172\n13785 46898\n556 3121\n6336 35277\n34682 51700\n6435 6946\n33896 43660\n26950 28812\n28844 38110\n14756 28242\n6596 43385\n16898 29583\n5899 10664\n3046 37714\n36156 39155\n27005 38903\n5362 7056\n28352 35374\n21296 41949\n32902 42577\n32989 45509\n26437 40149\n1711 52764\n20005 25711\n43209 43609\n19022 52135\n3896 9579\n34853 50094\n26139 53322\n25155 29485\n16570 18752\n18874 35844\n23498 44260\n28303 44512\n12072 42568\n40331 46581\n14662 41185\n2170 28708\n317 17319\n10778 25588\n3522 39365\n19434 37326\n2477 52009\n25776 29565\n40847 53088\n25950 46498\n14130 44544\n1923 32590\n3381 14526\n24854 44229\n13260 35612\n24480 36534\n13941 28898\n24956 43147\n6715 39166\n15959 28406\n39613 47992\n9203 49124\n3766 38912\n3104 40088\n29559 48259\n13775 37638\n49157 52690\n15782 28346\n31842 52235\n21996 49439\n22727 28682\n14113 46192\n38610 52205\n22702 46745\n25140 50844\n25433 36634\n17583 28590\n11912 12475\n397 47130\n16643 21965\n7149 21047\n25892 34229\n8534 35856\n30182 34747\n671 35479\n11580 34509\n43974 44279\n1774 24477\n6818 25778\n6337 31982\n42 34265\n20890 23655\n11541 30174\n4177 43791\n5293 42537\n15863 25518\n2417 23093\n35093 42653\n16343 39392\n20848 46228\n3350 14809\n11669 42956\n48644 52980\n33775 35026\n10248 50067\n20589 50340\n7568 27954\n3288 25153\n838 27205\n7342 22137\n256 4283\n1519 42299\n34645 50183\n19974 27864\n27061 33539\n9308 36287\n28816 37399\n13891 35759\n19820 35662\n22119 53628\n14380 26809\n42400 47992\n31365 37317\n36802 40799\n7551 32537\n26335 49531\n3985 22665\n2255 9730\n42502 44876\n16992 45590\n4181 8162\n20011 44985\n3298 51208\n9822 47968\n24813 33564\n4918 27182\n46350 46529\n13225 14005\n21086 29285\n5893 37646\n31228 51715\n16167 22115\n21474 42668\n36507 39512\n6293 30172\n29669 31263\n16148 39023\n16575 38496\n22699 37253\n14519 43000\n15990 35755\n19418 44670\n8569 29849\n40779 45396\n21896 42291\n46315 53489\n26329 45468\n29871 37817\n30701 41364\n28392 51976\n4976 49755\n13417 36914\n19738 44607\n30640 34846\n15005 37879\n39502 39862\n8672 42887\n20490 32753\n24450 31842\n10730 19997\n21917 23308\n12868 51010\n2796 23223\n6063 28998\n8335 14380\n8598 9043\n12573 23411\n24874 38895\n22365 23194\n27828 37425\n25483 47622\n23184 36736\n20667 41917\n23013 30678\n21820 52021\n21930 23370\n22174 31439\n4024 50185\n23647 29946\n12254 34996\n25682 51361\n33929 44185\n44401 48227\n18386 25489\n32066 45409\n5356 44418\n3243 14225\n3785 52906\n6411 32599\n26416 39536\n41160 43918\n19059 24188\n14334 42898\n2418 6423\n21132 52309\n34169 46705\n4210 26827\n2900 18247\n20956 30773\n10201 35582\n8926 27452\n22510 31989\n11916 41400\n40133 45134\n7820 43514\n17259 44068\n29154 37046\n8284 9065\n16166 52843\n5835 8591\n21224 52386\n28226 31567\n32452 50291\n5046 15489\n17599 19099\n8943 32034\n43833 46885\n4884 25276\n25853 37023\n45029 46276\n17866 42543\n12989 44908\n16662 50165\n33660 36511\n12279 15545\n22546 46914\n17475 48557\n46337 47567\n28853 53250\n31496 38366\n23749 38237\n10469 20494\n8497 48930\n11442 32778\n22214 46737\n10687 40855\n9458 18652\n1352 17251\n36232 46856\n33776 52327\n22708 24552\n39963 51901\n1391 27468\n30257 42182\n16034 17048\n5142 36557\n9343 31170\n10173 45697\n26039 36065\n15630 48274\n32741 39837\n10432 43917\n2765 10790\n4939 7108\n32807 41640\n5325 42469\n16904 53583\n10935 28517\n540 35033\n6964 22879\n8219 8807\n2839 6385\n16224 51378\n28816 49467\n18605 41266\n9321 44625\n32878 33435\n6348 8669\n21136 35242\n29423 32933\n4396 44784\n11748 32847\n39625 51744\n10013 38051\n18834 29278\n39358 51070\n5466 9523\n30684 33689\n8044 32732\n7722 14167\n10124 39379\n5395 46276\n16470 33238\n3643 28457\n3353 53023\n32694 32933\n21430 26976\n3763 17919\n23080 29410\n17930 41883\n24932 31723\n26989 49216\n31022 49307\n2884 46405\n7936 29525\n16651 23562\n5977 32418\n25971 30948\n28103 41795\n1351 49705\n13587 40943\n11516 50410\n18326 30087\n21661 31544\n19383 24397\n41338 42565\n23993 45136\n5170 19542\n31002 48162\n31095 44456\n11259 18021\n13862 31393\n8893 22267\n5695 12408\n1671 39083\n16617 45772\n27713 46094\n1687 38894\n43642 51784\n49842 51866\n23473 33726\n26799 27730\n1425 18659\n46930 51863\n44036 53788\n25969 38009\n45837 46616\n1904 31702\n3463 10529\n5883 8170\n19412 36118\n13519 24635\n1669 5160\n14988 15483\n37747 42195\n31910 36185\n31531 40839\n24147 41371\n26071 33647\n36261 36547\n39070 50102\n15898 33243\n30019 46856\n11548 36066\n8500 50964\n12937 40314\n11309 51809\n2449 45928\n36173 47771\n18094 39292\n5521 23904\n36814 51174\n33104 37896\n22432 36770\n18611 38681\n9504 18460\n25263 33542\n42713 53647\n7526 49719\n22041 33883\n9672 44023\n18852 24676\n39963 40960\n8559 46755\n21168 38740\n9403 53604\n19604 49967\n11905 32708\n453 44480\n33938 49600\n5732 6285\n23727 52543\n24017 43803\n9208 27415\n28694 36535\n11490 25282\n20208 43626\n28072 45049\n780 52286\n29230 32989\n27801 29484\n10697 11110\n7819 18244\n2888 35529\n8792 45430\n17599 28740\n8305 38172\n37574 37735\n8202 43911\n7426 38607\n28906 40835\n2243 39684\n3760 37575\n14717 53883\n680 43420\n16982 34755\n42068 51055\n13391 43660\n47837 51099\n2957 50503\n11747 19975\n6552 40499\n1066 30742\n7108 13488\n1502 25995\n8713 28691\n16291 24529\n26578 48149\n15304 23485\n33120 45292\n36402 38502\n20303 24687\n33862 39728\n34698 44524\n23702 40224\n21327 40936\n3545 48981\n8542 24153\n3800 18146\n19289 49670\n3638 38863\n4238 47714\n42546 49368\n1742 53078\n23825 43258\n36009 38370\n4380 9258\n23663 30360\n41640 46840\n11567 40637\n8970 31931\n29985 43504\n39785 40216\n21193 43199\n8542 19952\n6129 14820\n2408 4732\n2372 20715\n12283 52897\n21953 38964\n8705 23654\n232 31303\n31993 32871\n15309 44476\n30232 37516\n23237 46149\n19356 34176\n11636 17694\n17575 48980\n1124 25589\n390 31277\n7455 24764\n2585 11713\n4436 53868\n19047 45696\n5007 27627\n15448 51983\n9493 51500\n543 24618\n22057 26399\n22165 48508\n1927 1941\n458 7277\n195 32620\n26118 49938\n10388 36239\n49507 50507\n124 29472\n405 6911\n924 40872\n7355 24627\n28529 39419\n22992 40524\n3724 25885\n7662 33026\n9690 10215\n19614 45579\n40473 41306\n7448 49740\n23768 46332\n31372 52216\n48853 52588\n19828 31283\n10076 15397\n22164 53732\n14938 27490\n15179 48925\n23078 34618\n24319 42502\n14553 45407\n8151 24946\n14662 36883\n8019 36608\n1710 16468\n3557 51713\n11331 39930\n8021 47191\n25663 49340\n21533 46470\n16388 53383\n17340 30218\n21503 27459\n13363 52886\n25153 34708\n24893 47396\n13382 43442\n11081 43991\n38662 51359\n30064 31128\n16686 46828\n4304 43872\n22958 50252\n20264 28238\n13882 16255\n4974 48884\n3822 7890\n2609 42471\n871 33767\n1453 44528\n33129 49465\n20004 32718\n35396 43185\n14205 19429\n3259 4748\n35789 44559\n41131 46894\n29594 35332\n35344 39942\n29083 30612\n30200 35195\n19453 24463\n34551 45482\n41214 46357\n6578 31449\n35590 43213\n39459 52395\n12764 48318\n1767 14883\n15084 17413\n10531 52038\n16000 25953\n43050 46876\n13203 38604\n6098 18886\n1361 10484\n18296 41348\n8473 46993\n1309 50731\n5619 19088\n9325 48104\n2777 8127\n5105 12376\n4871 41068\n29983 43105\n18737 49827\n2656 15616\n20470 34254\n11597 20870\n13070 15199\n15291 52193\n15638 24546\n1140 5627\n9949 16861\n13690 50483\n13116 52684\n31923 48272\n28810 32721\n20535 48315\n27863 51805\n5819 26684\n49651 53229\n41307 51480\n37078 53674\n10236 13678\n28191 37648\n6905 49926\n381 47852\n5920 25220\n9894 36489\n13528 44618\n11576 17831\n12821 27995\n8923 35475\n6628 42948\n13500 29332\n10350 37290\n15812 38355\n34974 37430\n7041 53046\n22754 27148\n30014 45719\n5129 5765\n9002 10055\n23492 42085\n20986 40113\n34904 42701\n22271 50812\n6438 35800\n18254 27237\n24213 41234\n12380 50183\n282 49775\n13669 32188\n3048 20079\n1834 48210\n8598 8970\n50425 53149\n33174 42901\n10828 46220\n16592 22557\n3104 18834\n18974 30352\n14821 31906\n11791 52332\n10982 13492\n44819 53744\n15071 47135\n7765 19117\n6988 20696\n12206 44706\n2771 17660\n29336 45658\n21067 45983\n1599 41685\n27387 46562\n13740 38072\n10540 23049\n3575 40013\n31036 51887\n5156 23107\n47652 50367\n28798 44327\n21315 47963\n4774 35100\n15790 16649\n46424 53464\n20912 53002\n4466 9141\n21038 21715\n4628 20572\n14669 37442\n21153 39051\n10458 41853\n12928 49892\n39949 52750\n52392 53708\n18084 44878\n10840 27291\n27362 50225\n29724 50705\n27904 41554\n33448 44192\n8719 52915\n13737 44723\n36784 43163\n19789 47046\n25499 28536\n28867 42473\n10927 53333\n31637 48144\n13480 44152\n18398 45352\n2432 7218\n12007 48069\n45308 52348\n19358 25442\n21359 42409\n6710 30628\n14209 29142\n11572 13584\n29448 29633\n2408 13969\n10726 39777\n18381 29012\n5769 22511\n8123 52112\n6285 35581\n11170 46610\n10082 31466\n46381 50614\n12065 52344\n5910 19121\n22391 43545\n1509 12582\n38681 48977\n31438 48701\n12083 14402\n6942 22937\n36405 48620\n14064 19881\n35920 43911\n10248 11356\n11895 37947\n15651 52854\n40491 41834\n9649 36513\n3135 27126\n36869 51584\n8827 17577\n10247 53773\n13057 25654\n4206 35051\n39009 51862\n17217 42725\n25350 37410\n1123 7192\n21372 47233\n8821 9262\n6946 21898\n4290 6133\n31703 45643\n18419 36541\n18266 29640\n6676 49946\n47693 48943\n8098 48404\n39405 50036\n15970 29963\n36571 41841\n4689 47886\n31799 53560\n42675 52904\n12331 43462\n3504 26927\n688 20662\n25665 49483\n12761 17757\n17768 38116\n35283 41133\n30055 42411\n19452 24069\n35321 49258\n28954 36144\n47906 52858\n25257 41239\n13549 38915\n550 22389\n8388 40128\n10586 35592\n1935 27658\n27603 46992\n13025 22636\n45883 52617\n3665 50351\n36114 43933\n12697 17163\n6671 31475\n27327 32871\n13088 36091\n4622 42718\n1140 49476\n25629 45762\n10894 52496\n24533 50870\n18493 33341\n30796 45383\n1156 31493\n43549 48737\n25906 42139\n26360 49592\n33396 33801\n13664 32833\n5576 9786\n42125 42751\n19248 30121\n6057 30368\n1189 52387\n4081 25138\n30609 51139\n29874 36374\n41231 43334\n14324 43057\n419 27361\n23638 41223\n26946 42996\n13723 27104\n10505 53128\n7526 17475\n44635 48141\n26437 41389\n3580 22273\n3266 36809\n9916 50359\n2693 6308\n19239 23361\n8678 11264\n27742 41119\n15412 23349\n2173 11297\n21558 35932\n27572 41602\n6977 25286\n7722 30618\n491 7172\n14527 30210\n37960 46625\n6686 18347\n22933 33168\n27042 36466\n5965 24730\n21434 34991\n20870 42843\n43148 49316\n9544 48832\n5846 13282\n2366 4917\n24598 32461\n33589 44995\n13763 40896\n15558 19229\n13764 42368\n36038 39638\n40541 46712\n15355 16848\n33365 52060\n21110 25727\n17570 38773\n11963 25579\n1412 31829\n29212 37747\n730 40809\n28795 42877\n16746 43815\n4276 47819\n43512 51748\n13305 21457\n8499 8517\n34030 40123\n26509 47522\n29405 51208\n14286 46869\n2070 32335\n2026 45244\n41213 47632\n16852 23488\n42818 47258\n11407 51594\n36637 48392\n24895 47575\n19467 39830\n30091 52043\n26413 28760\n45694 47069\n19515 21659\n30691 39982\n799 29752\n3924 17781\n7189 16097\n3214 45839\n679 35737\n33194 41077\n35864 44976\n47975 51152\n22843 35676\n13053 49933\n33043 39302\n42205 48675\n3251 27954\n10444 51497\n21079 26779\n32711 53376\n11096 48816\n2270 53350\n24804 51370\n3863 46128\n29333 40198\n15342 48244\n34902 46635\n3894 32175\n5434 16905\n13845 39955\n46 6570\n35294 44115\n10954 19255\n174 12706\n27329 49020\n15344 40403\n41188 49783\n31020 51902\n18652 37751\n30372 38512\n27831 46309\n48455 52725\n4921 12335\n15492 35284\n9056 24405\n9064 26496\n12911 43265\n3053 5446\n22055 45882\n21875 30638\n39839 50109\n5517 51030\n21654 45391\n32853 34357\n35912 41876\n39869 43642\n982 34839\n959 21080\n22930 30808\n29568 40590\n1414 34705\n40004 53652\n9626 23137\n8862 47465\n23367 53469\n23828 29952\n726 9957\n20622 34797\n38082 43553\n16720 38942\n7544 28622\n17998 29166\n11458 45158\n13711 29303\n29468 40743\n22392 40263\n5145 48813\n23077 28991\n11870 15499\n12926 25980\n15610 41376\n42220 53459\n9382 19025\n2325 25830\n6703 52125\n29624 52059\n35587 47934\n27240 33895\n10640 18899\n23938 40880\n8018 31709\n29817 41603\n4258 35087\n1985 5282\n2070 45179\n46662 50599\n33906 50018\n21279 30997\n16196 27889\n19695 41304\n38089 42719\n4426 48907\n956 10917\n30903 48665\n21597 29287\n13574 33378\n6235 53530\n10910 19942\n9677 48636\n20733 27857\n5998 35800\n15466 24537\n6537 40991\n2432 7206\n9395 29926\n12840 53077\n17159 45947\n26602 53205\n21507 37228\n409 12690\n3583 41869\n29765 41588\n27165 39094\n734 4806\n19383 20868\n6414 15559\n16202 36928\n3673 22345\n11719 19764\n7419 13389\n32801 36845\n7949 44037\n20438 47711\n13057 22342\n5245 43229\n30959 49809\n36050 52257\n40087 45746\n25679 37734\n3470 37189\n22427 27602\n33340 39209\n5394 12862\n36624 41296\n2453 14515\n6404 19373\n11315 23221\n34349 52241\n26784 43695\n19040 34913\n19893 45266\n2226 32747\n20902 38996\n25095 39067\n14649 46274\n2178 17479\n24773 49142\n19952 30766\n27709 52544\n23777 33762\n16850 45485\n3052 38051\n10301 28176\n11265 34978\n5987 37431\n15147 44965\n10607 25753\n13391 20914\n7087 19722\n14102 34131\n36039 51033\n8896 29714\n32962 38059\n14519 20344\n22060 25061\n16122 29547\n8013 32176\n2029 5666\n17795 40043\n42120 52867\n40069 48858\n42341 46440\n24305 34070\n12242 27410\n12787 14358\n26399 27203\n512 41732\n16731 49664\n6842 52623\n24685 27032\n43422 46824\n18670 23215\n3679 10237\n31484 40031\n20947 53068\n10274 32026\n23661 31225\n15015 44943\n37169 37479\n6102 10274\n12233 25178\n7559 49157\n16544 24661\n26839 42651\n11982 36890\n22022 35089\n26466 33546\n24625 24822\n18167 21428\n3865 4275\n30214 40392\n15057 46709\n10583 53772\n5975 32785\n39391 41350\n20335 41361\n15989 24957\n21010 53467\n11009 25773\n9704 22444\n7954 52976\n27910 28308\n35293 38747\n1697 36600\n7566 37768\n14420 37496\n184 27431\n11270 41412\n26762 35755\n5076 47889\n7576 10424\n2792 17465\n42955 49471\n38489 52292\n17218 31434\n27053 28272\n7466 16082\n31045 34093\n38128 46728\n38159 49369\n41241 53601\n5473 46495\n19252 37263\n19179 49776\n19725 33800\n16410 52230\n25456 50763\n41366 50350\n41176 44041\n17209 24430\n17266 41378\n38548 44266\n13639 42840\n33904 39259\n4330 42577\n5730 33518\n17242 41866\n27907 41016\n18551 43152\n37710 53223\n27884 43143\n3009 12173\n32962 50048\n19298 25956\n14229 45526\n9145 29672\n35790 52520\n15026 18310\n284 30544\n7496 45527\n49560 52449\n28416 48392\n1633 18683\n8388 10736\n30269 40365\n15888 38559\n6436 47594\n15993 41875\n2663 3883\n16802 30307\n13555 53215\n25550 44496\n20296 25038\n26409 39467\n4484 52496\n21290 30700\n39531 46702\n17063 40862\n13635 17484\n24007 51697\n50205 51034\n25174 41699\n37986 50204\n256 17396\n39690 44170\n14585 40701\n13190 18162\n2281 9554\n5138 44884\n15724 51184\n16430 31903\n4136 40296\n35924 48364\n17741 47861\n425 18842\n4847 30539\n12838 39328\n5182 14046\n22953 30905\n25615 50556\n2342 42638\n32697 47154\n2743 26721\n5644 9372\n2764 22024\n11886 35249\n2533 21559\n413 33619\n13855 31520\n34729 52819\n8698 9952\n11418 51016\n16108 32949\n16538 46944\n4860 29465\n35031 38234\n8546 48760\n49397 52194\n8851 39776\n33263 36097\n19547 47602\n3789 37337\n3299 6128\n33184 39614\n15904 37688\n38946 47294\n25901 52928\n21019 28078\n37840 49942\n23295 53244\n12063 16911\n16345 33653\n38836 46069\n24314 31374\n33022 39889\n5622 48929\n12199 51435\n18240 25190\n14483 31501\n16497 39687\n9329 53914\n27139 43856\n18097 46520\n502 22880\n17741 24554\n13702 34034\n1482 1820\n45353 45851\n6387 14243\n13779 21255\n12718 25012\n15703 42700\n26724 39281\n7191 17397\n5637 16342\n34822 45546\n40133 42480\n50492 50680\n2736 26475\n6560 18183\n31421 32684\n43382 43552\n21567 38656\n34128 44473\n1998 48442\n34042 35383\n42290 48549\n30053 48313\n25974 53064\n51090 51623\n9865 21133\n3495 16333\n46855 53789\n4719 11201\n9199 33503\n25096 40443\n22843 36325\n41642 43144\n12142 12848\n1034 24889\n7415 12555\n4337 18084\n28428 48010\n28012 31162\n20763 34885\n24441 24663\n25923 45033\n13918 40420\n21271 48726\n25676 43310\n15220 25291\n3800 33575\n37974 46614\n26226 39325\n16873 33369\n6160 44937\n2450 32146\n21709 25819\n19343 47485\n19941 39105\n25009 50281\n6803 21757\n16710 48364\n12509 44361\n36543 51946\n16665 48548\n3274 21203\n11658 20839\n5832 45041\n8681 36668\n29606 41407\n32070 52425\n11843 22114\n8485 30956\n984 19801\n20170 25247\n19970 50463\n31464 48106\n20935 46872\n18363 38933\n31394 41601\n41238 53320\n30084 39066\n30358 40806\n30339 42576\n9439 33973\n1344 34820\n12681 24984\n9150 23409\n42387 50516\n31117 52262\n23309 41309\n18456 40702\n10260 43102\n8678 50812\n5640 19375\n16156 45072\n31203 49320\n7633 38063\n25215 45282\n5314 14429\n2369 39502\n23255 48417\n46702 46931\n4236 11443\n8878 35658\n21000 48486\n10459 25625\n21614 49801\n4706 41956\n28764 51289\n18336 48596\n30314 42446\n3796 25763\n23623 34208\n8482 17079\n32934 44336\n7127 10322\n6717 34103\n17708 23302\n7756 36499\n10533 15617\n4431 47194\n12587 17921\n32613 37408\n22998 46766\n20740 24839\n31230 52706\n885 51599\n13026 31713\n23792 31380\n5955 29396\n27235 50814\n826 25077\n11250 17546\n20929 44698\n11858 30097\n11385 53126\n6395 11621\n35049 38752\n9099 40848\n8529 19055\n31124 53481\n18855 42005\n41004 47768\n11516 38992\n11581 15342\n32592 47826\n4201 52071\n42334 49454\n45855 48000\n20881 43112\n28869 38363\n20973 35067\n7909 39168\n3554 51678\n36491 44121\n50338 50470\n23274 49614\n12559 19509\n13195 38079\n12261 23922\n30910 43793\n12119 31919\n19013 41033\n21197 43385\n6028 31549\n25296 40752\n31720 36229\n1245 4541\n28473 28699\n7077 33138\n19267 43920\n46263 52470\n38739 51757\n9951 21992\n20966 37777\n19507 20448\n6531 22920\n791 39453\n36992 37540\n1346 8823\n7853 14841\n24302 48962\n14117 25029\n2268 17835\n9357 38056\n1257 19667\n28586 43613\n571 21234\n32368 42893\n31956 42498\n51602 52413\n2921 43244\n3610 27686\n8153 21824\n13674 30497\n42246 50400\n3208 39383\n590 42513\n25178 45464\n19928 22217\n9088 16175\n16040 29380\n19788 33680\n24028 53493\n19062 27322\n7618 38304\n46478 47760\n32250 46039\n8650 40663\n20049 39442\n28317 44476\n10517 33602\n10572 37991\n4231 35811\n28383 48744\n4336 51816\n18470 19363\n31752 43742\n24096 30049\n24234 37894\n9656 36769\n8356 22515\n30433 48711\n17791 26039\n19526 33164\n11691 46349\n11970 36607\n18587 28536\n20120 37833\n38182 53574\n12426 25884\n30433 52547\n16429 38656\n3585 36053\n14667 32648\n21898 31755\n36060 49591\n12539 42024\n1329 18598\n19334 45578\n1227 32480\n17811 19531\n27083 50708\n18401 29457\n10964 32841\n15766 50022\n12333 16544\n9734 36521\n15161 43832\n36416 42844\n5384 26979\n14381 15628\n11560 31302\n19135 50059\n10769 35512\n33066 44831\n32941 43867\n26966 39147\n10593 33174\n41519 42176\n51842 52957\n14449 15926\n8781 12603\n18149 49407\n106 43194\n4527 30625\n13704 29277\n2619 51122\n3190 22990\n33701 47886\n5228 12186\n9902 46410\n15134 31736\n180 11788\n35806 41986\n15640 39958\n4042 25347\n23157 47921\n10140 38178\n12125 21758\n25468 41189\n4885 9562\n34 2965\n3625 30081\n9804 37323\n2988 53807\n12917 33866\n7115 10415\n26952 52776\n3123 26444\n18319 34701\n17578 31269\n21811 45599\n43244 45876\n5052 34941\n20321 24557\n14640 16157\n25311 32652\n11493 23325\n14360 20130\n17249 32340\n39201 47614\n22135 49805\n1950 51158\n793 4440\n40726 43723\n10735 48247\n18091 43686\n9248 18746\n18741 20301\n34565 41144\n4765 38437\n14366 41748\n24800 46129\n22762 27312\n3531 23752\n14485 39957\n6252 48011\n3944 44615\n9078 50194\n44763 46627\n8296 28713\n31912 43544\n13672 26356\n4730 6661\n27137 36736\n3764 43721\n38781 41450\n11624 15600\n15535 53030\n19068 30592\n7638 30354\n22935 35506\n46470 46638\n10519 27937\n15653 47248\n11478 11681\n16293 44264\n6203 14268\n24948 32132\n23914 35726\n18974 28974\n559 25086\n25964 50230\n31191 34791\n40304 46584\n17920 49648\n2293 47891\n1897 5830\n21092 47561\n19078 47419\n13647 26185\n17439 41975\n18387 21509\n20045 50905\n8637 14901\n12698 30928\n15785 39788\n31822 53515\n8983 44093\n28562 50371\n4446 31252\n6726 37298\n16085 50428\n2327 41147\n19864 37086\n9610 25824\n14431 38634\n36476 44497\n49928 52914\n5831 43856\n32576 50025\n33891 36667\n26137 45142\n37528 40933\n23304 38089\n13684 20221\n4935 50184\n10036 31664\n3241 44824\n9747 43965\n13171 15788\n6461 41290\n2846 20308\n10860 19356\n6408 10211\n32388 43328\n14650 16773\n15271 36830\n212 20849\n707 39929\n25624 53352\n11520 34104\n9137 11420\n15192 32095\n4998 33736\n7080 36527\n11990 26278\n37249 52242\n18469 49444\n44617 47221\n26289 50733\n21353 48185\n44707 52348\n28448 50528\n12163 22052\n6782 41424\n17231 21036\n38077 49496\n35257 39172\n34848 39572\n16334 16916\n28871 39824\n2446 8935\n9478 14427\n43790 53423\n10659 16257\n32773 40040\n19454 48987\n27379 34807\n8675 32611\n23107 28203\n3981 52016\n2799 16438\n8851 30852\n2971 35604\n5421 10413\n28780 30743\n34911 50861\n28608 53828\n42877 43236\n1369 30317\n8990 14731\n10003 25478\n33969 44249\n18507 21683\n18264 45556\n3204 38744\n26739 52340\n2455 39203\n10916 30760\n17950 40608\n33349 37954\n43787 53134\n13342 23661\n10150 31027\n14851 19844\n29532 47138\n3183 5443\n29292 29903\n5514 10549\n21019 45433\n35243 53526\n11868 40532\n13349 39282\n24576 41694\n20288 37071\n34342 46747\n19050 19051\n36654 42572\n9229 50901\n31317 42550\n23585 43446\n3878 40755\n3061 45644\n1861 26395\n12015 46781\n6889 9198\n9321 42274\n4210 13957\n8172 19851\n7465 32791\n2681 18170\n21818 40919\n4878 15815\n27762 39848\n4695 37737\n25171 31241\n10889 48591\n22532 42904\n7537 10584\n38573 53294\n34114 35447\n21562 23428\n23479 35064\n16347 17111\n23803 30695\n35511 51146\n2836 6389\n27144 29244\n21349 37793\n31477 31968\n32216 36224\n16137 47298\n25557 38195\n4197 35169\n2440 23600\n14191 29325\n17917 34482\n14555 51221\n18725 46855\n21022 38246\n16019 41401\n15430 52343\n45738 46410\n256 46955\n20923 37812\n6405 34668\n20400 43961\n19572 26317\n20863 23017\n28766 49645\n687 13842\n2980 45754\n30500 35144\n33458 35993\n10333 39483\n16156 49904\n26993 52046\n402 42845\n1 46500\n12777 25994\n15702 30056\n29598 40061\n24910 29642\n8103 10268\n20466 37703\n9048 40137\n24321 46969\n24013 33668\n18700 49680\n9509 30335\n14481 27020\n30766 41655\n45344 53450\n2261 38861\n1185 20786\n2488 11714\n1240 8080\n13393 42436\n6786 22411\n20218 43011\n3969 29608\n9191 39494\n304 20371\n32246 50481\n25294 45592\n37361 38710\n18383 46181\n20805 42417\n22522 23691\n13641 51815\n23354 49515\n12703 53594\n15986 29735\n2194 5567\n23747 52183\n5017 29675\n16214 26861\n37543 44169\n31119 37906\n9263 42787\n2259 24188\n30600 32252\n2768 25778\n5669 50288\n22556 53370\n2855 26475\n37152 49082\n865 34101\n17228 25409\n18159 26826\n20575 51683\n38511 49876\n6948 21453\n18136 47151\n21543 50378\n25000 44011\n6626 40776\n6508 17356\n37290 38597\n16386 52044\n14009 50536\n2287 10355\n10597 51630\n15341 31100\n11317 11497\n23390 50459\n9784 39004\n2898 35802\n42212 50690\n23622 43360\n3806 28417\n8874 25580\n5919 28994\n16767 36662\n21139 21735\n18185 35138\n8873 33281\n5107 14591\n2956 9036\n32267 37192\n27063 44211\n36438 44377\n2445 27510\n8630 22803\n11185 48881\n9992 39796\n25531 26504\n4994 43507\n17758 37889\n17016 39001\n18225 50041\n32007 41952\n2741 16673\n17514 37173\n3500 45586\n27975 35829\n23954 53452\n18303 24896\n5057 31230\n30988 43865\n17395 23825\n43265 44157\n404 50914\n37044 46764\n751 7921\n4488 26632\n15606 25007\n48275 51274\n5396 51216\n41971 49232\n24390 37985\n14913 38041\n14183 38196\n21241 40332\n6385 41159\n12672 23492\n2597 29954\n13951 16810\n6816 37978\n34935 41092\n3438 33677\n264 24714\n29042 32243\n35059 40542\n1245 9872\n16915 49659\n6295 20767\n42082 44048\n25112 30324\n25409 48937\n10328 31156\n36727 52664\n24099 32377\n13640 16431\n4644 20737\n38502 41001\n41177 45848\n6075 32689\n1097 4821\n33010 36009\n24788 32908\n15997 51015\n12809 13229\n17767 39415\n15708 26091\n12587 26475\n48058 50081\n30262 51013\n200 33599\n24526 39408\n648 9048\n1436 6226\n1015 48975\n48427 53055\n287 8677\n20064 47152\n11991 45483\n5902 21450\n22846 36483\n1867 22909\n27402 38917\n37066 37526\n15677 43302\n17780 26388\n4189 6157\n11028 46802\n1598 21716\n30119 49956\n22514 27522\n38969 51287\n481 51773\n25816 46773\n35734 44137\n31609 42573\n1238 28950\n11325 13941\n20745 48886\n21637 42707\n5465 39395\n29462 53463\n11707 47956\n40766 51860\n14117 18977\n21859 34766\n14112 37275\n15858 17134\n42253 47983\n21405 51880\n13558 41704\n4783 46797\n36660 49490\n8034 20732\n6911 12719\n7471 21512\n23464 47921\n45404 52477\n2411 17717\n19536 50312\n6492 28155\n15635 53159\n13796 48328\n6044 42769\n46158 48753\n24707 48963\n19993 20231\n38324 38693\n18389 27144\n29000 47747\n30191 31019\n16575 33521\n28103 45033\n12006 19585\n673 52060\n2128 27784\n3206 8897\n19081 41068\n13499 33982\n13745 25088\n6480 43432\n15542 53890\n6589 41961\n9853 10444\n24203 39005\n25789 46809\n22300 37524\n5953 44337\n23762 48743\n14013 23427\n21320 40001\n1621 36213\n13615 33501\n23093 50174\n22032 53225\n10312 36542\n20048 52126\n8399 30030\n16137 23816\n22064 37195\n8841 13856\n13829 31174\n16830 37173\n13837 44479\n13811 20829\n39113 45034\n1419 11381\n7984 37606\n25644 33516\n30971 39326\n35242 35982\n18389 21046\n1131 52624\n12614 35931\n20743 42441\n7912 46965\n16823 45996\n18383 39313\n3180 21462\n24439 48681\n2596 46312\n42063 47933\n27549 40667\n22893 35889\n18583 53744\n3632 16408\n12228 35345\n10798 44638\n22255 27592\n7001 32487\n35664 49879\n7106 48483\n27125 49097\n19885 24348\n7845 38916\n524 42830\n7910 18414\n40695 52384\n41046 42195\n6191 7111\n37073 53739\n14360 23505\n13746 38488\n1459 43719\n16900 28786\n3999 31156\n24330 36822\n51781 53629\n26121 37008\n25001 25312\n29263 33332\n2698 8770\n1810 12262\n17745 45983\n31004 50211\n7703 43414\n4458 35041\n18663 36945\n25694 32963\n3151 27565\n38828 40921\n7371 21811\n12917 32012\n40249 49068\n5192 30124\n3750 3911\n16305 49727\n34818 52941\n33349 37432\n11394 40649\n17689 50466\n318 3760\n7215 19459\n16734 31367\n43823 44388\n3830 25954\n24066 50785\n6389 29980\n23338 37115\n3591 40809\n1534 47601\n42402 44248\n6087 38265\n33541 42048\n52043 53405\n4239 29547\n13501 31067\n45332 47533\n46411 52773\n4563 15327\n4340 16490\n1431 18737\n24133 30032\n8730 34928\n21233 30882\n30396 42007\n41320 48459\n6385 10087\n22559 23073\n6074 11837\n26340 48249\n35414 41236\n1590 9023\n34065 46518\n34923 43125\n7833 33013\n2589 19888\n11351 34544\n7672 50189\n6173 26003\n2565 10920\n2958 15318\n21972 53857\n8856 35074\n23809 42814\n1964 7317\n6723 52968\n3318 26614\n39145 45306\n3559 35750\n11835 37745\n8664 27903\n787 43784\n31145 46706\n28957 37309\n15958 17467\n1513 1780\n37313 48025\n25066 42860\n14094 44854\n17435 18822\n3844 46942\n21120 48782\n29740 46980\n28165 43188\n8615 39366\n15853 19105\n41182 41362\n22303 35841\n31562 47882\n21916 39686\n26158 36116\n22376 43132\n14717 16049\n20650 48267\n39532 41581\n35218 51144\n27020 48286\n18464 45674\n18374 34229\n37908 47106\n27166 48413\n33137 46020\n39559 47807\n12224 14285\n47097 47129\n14268 14946\n3998 12154\n698 11688\n31856 42292\n18497 52448\n18700 30604\n129 4794\n22251 47197\n12365 15536\n4554 15281\n24373 43854\n38106 46861\n45897 48024\n30775 37084\n32340 50104\n25125 31726\n936 52861\n16461 22961\n35329 35444\n36355 44386\n7810 8314\n4467 32755\n2563 37072\n23235 36136\n13506 20871\n6317 52797\n13133 53857\n41595 52543\n11835 21681\n37638 37833\n36663 52121\n28409 47006\n476 3713\n9561 29164\n15385 49615\n11878 49505\n18493 47077\n16310 17297\n321 30964\n26479 43753\n29873 31880\n96 19717\n13669 17648\n17664 50026\n26995 46053\n32754 34971\n33018 38306\n352 44960\n12293 33489\n23791 36454\n7019 44011\n8076 52577\n14511 33321\n26382 41554\n45702 53258\n52311 53300\n15192 20417\n3907 46568\n26820 35707\n34137 41980\n1815 41326\n47210 50859\n6832 34969\n32791 53758\n11061 46123\n4274 22810\n23853 29439\n11746 48564\n10145 41808\n15621 45287\n34303 39236\n29449 50982\n40067 42723\n48800 53241\n46688 52328\n40109 45568\n9427 37410\n10303 52821\n28227 48733\n17724 45091\n35942 46945\n21914 37386\n10083 42597\n19922 29958\n11031 17749\n14802 26080\n17492 30952\n46566 49679\n30209 49576\n1298 22264\n27923 43646\n1999 25761\n1815 8358\n12735 52244\n9958 12015\n11708 14907\n16539 44230\n9301 40795\n13644 51612\n5022 29149\n24136 26156\n13024 30382\n11147 48599\n2319 52703\n2807 29131\n10126 34992\n43120 51153\n30968 34166\n17666 41982\n28362 33289\n45243 52986\n38576 50101\n21719 29743\n33217 42704\n8826 34208\n616 11509\n19644 21706\n20652 21192\n5073 27438\n635 15137\n17055 40106\n51378 51947\n37023 49820\n1283 40769\n26561 50327\n14944 39629\n1106 43644\n2376 43883\n36940 42073\n12261 18189\n30582 44271\n2922 17794\n8092 15085\n13695 18220\n24019 30753\n43424 43857\n5805 34798\n22554 38189\n17070 19174\n15831 49082\n5856 33001\n3124 37131\n38301 45088\n15266 17314\n18562 37850\n44633 46111\n217 47493\n18053 39622\n23941 25100\n1595 34298\n20217 24179\n2031 35853\n18378 22923\n1348 15759\n338 6058\n6111 50501\n17258 17406\n30 33541\n2444 34810\n4708 9243\n2612 21973\n26006 43014\n28507 43177\n16517 19190\n19121 27654\n10989 11509\n6577 18618\n27508 27998\n24351 49224\n2685 40988\n8695 34550\n14310 20715\n15555 31296\n42278 46189\n11344 24672\n31567 42011\n7666 28282\n10975 30219\n4638 18320\n19952 41967\n34900 49950\n21905 51083\n15944 45799\n22244 33495\n9149 52129\n11608 18156\n16481 51030\n4429 33032\n9760 44435\n8713 46996\n212 37242\n204 4760\n33187 45774\n8300 18931\n19294 23229\n31751 37678\n16287 29739\n13252 16044\n3643 30508\n28993 34276\n37634 42858\n10707 53022\n39325 49291\n28761 44478\n46932 53259\n15354 33171\n44523 47504\n26935 51652\n35181 35249\n43912 50742\n28192 38847\n21327 30559\n3499 13250\n15325 52709\n6897 7760\n3297 26425\n39805 50482\n23041 24146\n3852 45938\n22005 29934\n22123 43027\n9047 15950\n167 36019\n36069 50164\n7990 9949\n2795 28980\n23619 39004\n49781 52883\n21484 45127\n25923 48889\n6559 7770\n4791 34997\n23697 26128\n24981 28132\n4048 30748\n34774 49372\n3568 37187\n31506 49306\n45876 50126\n8444 38283\n2232 5832\n3281 43258\n4691 31368\n7380 30959\n6400 25231\n2717 39037\n36852 53065\n5405 27855\n29960 48520\n38169 42136\n16152 33629\n13718 36328\n16677 49634\n2162 44774\n30106 53102\n14754 15558\n19045 32609\n31082 52092\n29304 52199\n2562 16336\n44648 45748\n9749 16971\n4292 40693\n8171 28774\n17191 34092\n4530 33080\n1561 18336\n25584 47426\n11439 26199\n31836 49730\n21060 39377\n9489 41962\n12399 49050\n3227 48991\n862 30017\n5077 47942\n29445 46157\n39591 49792\n3278 35873\n22370 40421\n10146 12849\n39484 52344\n36848 43636\n3965 20751\n21126 44216\n7400 21256\n28588 34172\n5299 21103\n7026 22920\n7017 14746\n3471 12192\n18904 37624\n11215 38879\n22864 29830\n18052 20718\n7230 28487\n17815 35073\n17621 37716\n35003 38948\n28038 48962\n27701 29567\n3207 6027\n12014 30592\n18278 26787\n3575 43281\n13312 46901\n12023 50884\n2053 51105\n13586 31381\n4016 7648\n10947 19705\n18068 40546\n15673 52403\n13791 37327\n16410 43175\n19477 43825\n37976 48825\n25891 28363\n2955 12551\n24402 52201\n8923 27119\n14851 17041\n15663 47140\n903 3928\n28731 38883\n31027 40706\n31801 36581\n13781 47950\n38706 47450\n7388 7641\n20975 43240\n19867 32139\n8602 42080\n32833 34973\n17269 43834\n44903 45059\n35627 47149\n34414 38173\n37297 46418\n14506 50420\n23512 36721\n489 44328\n9675 26347\n13242 30926\n33249 41223\n22566 44411\n33487 34895\n9369 25374\n17947 38749\n37228 53377\n20635 36684\n19567 40905\n20563 45684\n39008 53641\n46125 46589\n46268 47155\n10248 28997\n28380 38487\n21008 26297\n34616 50613\n7310 41690\n17614 33823\n42854 49528\n28112 50727\n4931 5562\n2009 43715\n19009 22166\n16413 22505\n10355 45136\n5611 33790\n3408 40411\n11039 41712\n2771 20236\n27852 53049\n6935 17433\n20760 37558\n12820 40367\n7249 13214\n45453 46868\n38841 43617\n3551 22754\n6048 30910\n16937 37557\n40890 52930\n30013 31015\n26505 48004\n17961 34533\n15169 25253\n19421 27971\n41627 51110\n14269 27171\n38687 43734\n24231 50885\n25928 26887\n34842 37751\n40048 40632\n5027 30700\n8601 30877\n1367 45543\n48731 51670\n19200 21754\n32417 40864\n6217 46303\n12639 32877\n13143 16701\n48509 51500\n21195 42218\n2744 14967\n31039 45881\n28190 46762\n4433 6974\n22984 36303\n18 52775\n2642 22582\n4383 17198\n16739 43070\n12083 19722\n17591 44266\n44245 48565\n30203 40373\n13522 44530\n25372 30459\n489 35270\n49140 53060\n3740 32344\n10010 40201\n10689 26295\n3187 18854\n33630 49828\n32253 36733\n33435 52935\n2559 30671\n25558 44923\n15028 19391\n11092 12089\n37216 43317\n29773 30749\n38067 38499\n23549 28771\n3201 46621\n7914 32983\n48162 49440\n19370 44199\n11287 46832\n8236 24743\n29545 39744\n17471 29224\n25362 41995\n15959 40233\n46482 52424\n1341 9049\n11155 48385\n9051 21133\n1899 43967\n13032 34764\n12123 35719\n26550 50446\n4584 30185\n965 5434\n16651 30710\n4529 22339\n16986 26877\n8410 44221\n5438 52968\n6072 35745\n14274 42750\n41150 47737\n6225 45891\n17911 47443\n29631 32372\n25453 47329\n5893 18023\n18701 20187\n15242 25609\n6709 44096\n31930 43454\n3351 35937\n20959 44839\n5102 19557\n15820 37682\n33282 53792\n36992 37309\n22607 24299\n9776 24566\n27021 47612\n9084 20023\n22282 44276\n17949 23220\n91 5861\n6651 51140\n5235 48240\n27421 41298\n21730 45926\n6475 38161\n12406 38888\n9942 26901\n20464 31802\n10413 30058\n14966 40269\n50016 51907\n15857 50878\n33122 34087\n5283 35110\n32070 42461\n32348 48386\n7098 24645\n18838 37715\n3621 26788\n23103 45927\n18645 47408\n15491 41450\n21021 38109\n3296 8516\n8008 33258\n25313 32059\n17332 38972\n5879 14754\n26457 52414\n759 3772\n8415 49271\n37673 47030\n3670 34827\n20918 45987\n23906 24105\n8863 16168\n43499 53200\n4036 26504\n9 13965\n44386 49279\n15004 35371\n5670 43583\n21364 34812\n22991 38931\n22999 51476\n28223 44649\n4368 23482\n38046 40364\n13361 30950\n8098 22687\n2591 15876\n20507 24944\n15353 32273\n2867 44783\n44111 47569\n13103 21728\n28030 32911\n10196 48439\n13663 33632\n13523 29315\n22436 23570\n12054 24684\n33066 51772\n34297 45093\n28385 51825\n13881 49195\n4172 29450\n9628 53237\n39226 51299\n30889 49524\n23451 38760\n9496 14412\n41784 44101\n51302 53294\n11599 28231\n21582 48691\n5407 26225\n13551 15506\n19361 30261\n40224 50321\n40368 40642\n31871 49990\n32294 53676\n12730 50804\n23718 48302\n4656 46988\n14661 31194\n6445 11638\n24798 35345\n21110 52565\n34967 46132\n21514 47842\n4934 38913\n13505 16021\n3487 11755\n22433 45781\n1594 18492\n24400 25392\n16533 48779\n12448 30542\n10052 34483\n7213 25037\n7357 36142\n26442 38185\n13700 25681\n30868 33790\n32981 40029\n38660 46835\n14468 40533\n30442 41088\n18020 45992\n35264 51794\n8722 15461\n14489 28371\n48898 51885\n2446 30239\n40921 46560\n50322 51373\n6252 44102\n7447 52909\n23964 39593\n7016 7085\n6730 37657\n23640 36547\n33897 34570\n36822 52302\n4302 38457\n9733 50412\n12281 13006\n2015 39864\n13205 21260\n12779 39539\n17767 36870\n16360 43486\n29413 44910\n24069 28160\n12780 33039\n14782 27192\n16533 23977\n16287 52893\n9618 49183\n19084 53114\n10099 51739\n18177 41957\n12993 23626\n1043 20520\n2632 52195\n33873 38802\n33562 40014\n18049 41666\n14818 40541\n2264 14120\n15623 45111\n13113 24347\n344 28459\n10350 10744\n28797 34260\n5572 35211\n17209 40188\n2361 32760\n30253 45619\n37708 46523\n10355 13544\n31871 34339\n44832 53294\n1454 5994\n27250 30197\n5713 47789\n2827 37909\n5356 6501\n21208 26331\n15717 27034\n21133 38131\n19393 23316\n12818 22254\n22401 53606\n19204 26548\n21418 31684\n9032 44531\n16521 30699\n10860 45668\n609 4289\n37696 50571\n9141 34192\n36469 43629\n5441 21715\n18114 48886\n29519 50406\n41754 51124\n6010 13674\n11151 49522\n5196 44588\n28804 51333\n10681 48512\n19790 51664\n19955 23122\n2264 19674\n16001 35586\n2318 3169\n6560 11262\n38369 50023\n27009 33836\n15213 41614\n7429 38827\n4736 52660\n20993 37918\n16844 21148\n34500 50063\n17490 51661\n26349 33409\n38095 43993\n16061 32176\n21312 28378\n2280 48531\n9666 28848\n8128 53263\n14147 14742\n43440 47850\n3589 39860\n8882 21928\n16528 41747\n26765 29195\n9949 49122\n19899 49924\n19724 46876\n23711 46011\n9010 34599\n1066 18119\n12618 25612\n5396 47790\n14570 51509\n5630 36512\n3655 40182\n34636 47853\n10157 35264\n37703 40642\n11207 23918\n11000 19219\n7091 30139\n32387 50344\n20860 50108\n23942 33711\n12665 52147\n48429 50736\n12633 45061\n32653 37367\n15085 42292\n28486 49043\n3974 53078\n14704 21149\n14957 29231\n13677 25208\n4426 25662\n42533 50257\n25094 36842\n15619 34736\n37903 41627\n16402 31233\n14489 32875\n4617 23361\n9593 15236\n12825 29469\n11308 30487\n949 52332\n14031 44185\n31924 38997\n29778 37321\n3777 26735\n14944 50710\n31478 34164\n25995 26548\n49480 51065\n29993 45573\n17642 38799\n11719 41843\n3286 42382\n24005 31709\n5930 44732\n6048 25607\n2651 11315\n7111 17097\n8001 44370\n5963 6825\n16645 31742\n30592 37781\n40876 53405\n25196 28936\n11597 42230\n31767 52168\n7470 22608\n728 37272\n1552 15119\n5537 45384\n3770 21790\n8099 28166\n36014 37727\n15357 23740\n28017 35381\n42869 50430\n3326 14742\n3333 4791\n1399 48894\n779 10157\n27095 51222\n16696 16905\n5 36986\n23401 25338\n35964 39094\n26017 27019\n18016 36399\n8562 35541\n42641 43643\n22841 51029\n7641 40961\n22104 23235\n23873 38111\n24746 34704\n9437 28730\n42409 45003\n21518 22809\n7333 18371\n46694 51665\n45961 48060\n3800 44418\n36422 49293\n21955 53373\n12325 31512\n29889 37077\n33508 51355\n3362 44430\n44881 49550\n29126 42115\n33258 39323\n22700 50120\n20286 33729\n16175 23590\n35421 36538\n6329 29561\n27037 50688\n11137 12604\n15408 46462\n4526 15054\n2775 42057\n21506 37732\n12831 27193\n10625 29893\n12110 50626\n44801 48443\n2341 49666\n22970 52113\n12703 41459\n15368 24198\n1271 7654\n13062 43136\n47067 50222\n6904 7948\n16549 43265\n23025 52240\n3873 49144\n16687 52938\n4652 17696\n47959 52503\n43147 43605\n29590 51208\n8760 23002\n13564 15382\n14674 30205\n682 4582\n28584 40486\n11789 20629\n37123 42648\n5854 12025\n25134 41560\n18390 37265\n12206 29895\n38087 45759\n5835 31959\n4628 29986\n11847 34591\n31203 45294\n30252 51309\n16988 21694\n8835 47291\n21742 25160\n31123 38359\n25426 32033\n13295 18822\n2306 9531\n18727 48819\n3414 7847\n25418 36605\n12079 14585\n3304 35162\n43045 50723\n5406 30539\n46 14962\n39071 45240\n18000 23034\n5475 26218\n39721 40592\n5846 28585\n32352 53768\n37384 40615\n8020 10387\n9731 20717\n2874 11185\n18466 41952\n1171 26627\n13920 52078\n47852 47964\n23706 46169\n39144 49046\n21992 41245\n8891 18040\n15107 21476\n16225 32908\n32286 50190\n31855 34933\n22692 30725\n21991 24570\n13918 25825\n3806 26099\n14070 22516\n23537 42840\n13746 20110\n20737 46906\n29258 42684\n40052 44363\n25811 49677\n18413 39946\n29583 43891\n19553 51218\n11880 43152\n19758 49155\n1670 23104\n18241 18243\n45992 50728\n44272 51139\n45793 53869\n11884 47122\n20393 29803\n15702 50541\n38627 45856\n16527 38225\n9924 52475\n5459 51110\n4114 52968\n17217 29569\n20835 32408\n4092 12017\n10158 36716\n19671 26009\n10185 29517\n2659 22575\n36421 39886\n3688 20884\n7000 53768\n5206 13283\n29358 45040\n30243 43683\n4982 41422\n22447 24481\n8719 12410\n3360 18640\n22016 29624\n26610 27315\n32680 43778\n30931 49979\n3978 11789\n3171 4939\n11652 28082\n2417 14422\n45157 49617\n26525 42753\n33102 47990\n845 14483\n13835 38541\n9863 13441\n33199 52777\n16150 23044\n3894 47051\n1083 43023\n50506 50774\n5087 17229\n42875 52829\n8652 28820\n23600 27345\n35913 48624\n26032 36647\n31266 38034\n2134 30018\n19905 31582\n10437 27722\n7875 14445\n3741 5547\n31531 45765\n15718 21679\n40240 52046\n11854 12167\n6177 26491\n1283 46526\n8431 41437\n42486 46306\n18638 37130\n40444 44075\n7319 12172\n9023 52801\n11126 45147\n12895 34046\n42220 49928\n3725 35592\n5241 30770\n9836 50865\n38066 47903\n2378 35013\n14175 22857\n7022 33996\n956 11108\n23505 40175\n21938 44222\n17785 22812\n8439 29694\n17588 33659\n31760 34247\n3192 4938\n19752 25620\n29398 34264\n34626 50118\n1163 16589\n30840 41857\n26274 35664\n32217 34899\n11854 37181\n32507 46387\n23387 41015\n36614 44263\n30417 40567\n6244 20176\n9951 43308\n15720 36438\n27729 53142\n28958 49996\n40376 43811\n14868 31416\n4110 50011\n12434 21600\n31405 40125\n4116 17350\n28301 41299\n29768 37589\n23078 26270\n9969 10113\n5090 48000\n11061 14969\n25525 30472\n20510 21627\n22498 25765\n24846 25284\n3014 52409\n12523 21599\n36901 53411\n18697 53683\n2700 25694\n7211 46485\n27359 44765\n40 33891\n38172 50552\n21621 45788\n6252 8435\n3235 42042\n20272 30769\n45709 52074\n28710 33500\n16764 40295\n12355 46057\n2915 30845\n11146 19659\n26027 31917\n21484 47936\n47135 50439\n5997 14386\n19525 48670\n10852 26510\n2432 52862\n4368 53392\n24533 35186\n13862 33379\n26162 44025\n35051 53643\n37501 52793\n13449 17340\n35520 52726\n3272 5143\n26116 27612\n46833 53128\n22688 40053\n8774 22634\n3255 24482\n12776 24782\n24280 36297\n1743 39905\n19760 29125\n5277 21506\n5125 19610\n7658 9696\n27688 37240\n12299 22790\n25953 46308\n7502 53839\n45606 50468\n9260 13958\n25168 34783\n26462 45601\n18115 49651\n29953 45034\n12790 30923\n50405 52287\n33047 50483\n23831 43334\n37351 45551\n10433 47596\n27512 53419\n21365 21627\n7694 17962\n4848 16831\n21764 31679\n26730 47758\n30114 51957\n2898 9285\n910 32174\n5618 26634\n46851 53585\n15079 36514\n21936 51970\n17910 24388\n2293 42353\n13054 13637\n3323 25028\n15819 37376\n14349 41449\n5520 47859\n40159 45774\n44909 52377\n51012 53288\n45582 47205\n28042 48882\n34296 45583\n20119 28579\n9265 33875\n16143 17712\n3601 49039\n11713 37017\n792 13680\n19301 39249\n18336 36752\n5142 10329\n11969 26678\n15346 20210\n4654 11839\n29585 40233\n5851 52381\n26519 40033\n14681 51510\n17347 28546\n2683 4546\n41694 43164\n1991 50734\n45226 47120\n1034 40691\n4461 35353\n39703 51077\n9311 34659\n14978 20531\n28556 52465\n39990 45869\n7998 9678\n19919 27184\n11629 20784\n17518 31135\n29119 38450\n1224 23715\n20255 36398\n29273 40476\n2156 28823\n11790 41835\n17980 23513\n31382 47843\n38934 39978\n12997 19043\n17475 45019\n34077 45292\n13216 33975\n15532 48132\n26041 42563\n2577 25186\n10429 29185\n16434 26992\n43765 53746\n20568 22381\n29878 45726\n37272 40118\n29930 47528\n10565 35810\n45313 49822\n32368 52550\n36883 42807\n15742 20506\n21020 31179\n2904 18591\n36833 45702\n8636 20409\n10267 29493\n22023 49151\n1310 5725\n35108 46496\n4350 52636\n43199 50591\n22725 26836\n10164 43552\n5047 17943\n29157 36664\n811 40090\n5711 10781\n33233 34060\n4485 19045\n10902 28122\n15874 44691\n18322 49815\n27421 51672\n16684 49112\n5591 10329\n10996 43989\n120 34301\n20056 32583\n21612 53761\n12193 51093\n25585 25935\n23774 31255\n3420 44639\n43002 52767\n25458 37509\n5375 44386\n4812 37836\n15103 51557\n37663 45108\n25799 38830\n10196 22949\n19154 47718\n6253 36626\n13918 38126\n28890 51889\n15861 28431\n16783 52327\n29 51776\n29056 42310\n15445 38699\n11105 45688\n9840 23631\n25551 31144\n217 20067\n12338 49327\n30339 31950\n35890 43432\n8758 21955\n31390 47377\n8576 27804\n42990 43511\n40951 43199\n4493 14355\n317 14773\n16047 42542\n14794 29941\n38699 53782\n32793 47907\n21320 47767\n24094 49514\n7329 45105\n42750 48566\n10819 38625\n4945 40600\n36350 48933\n28487 52328\n11998 38962\n2153 20721\n8227 14533\n23966 49260\n42350 46089\n23587 29181\n9377 29269\n13111 28220\n4690 19870\n12873 44047\n518 9907\n20667 36178\n1169 3737\n20701 33804\n109 31094\n3600 30829\n2254 11359\n3817 32887\n25022 31140\n20548 27120\n14831 15553\n26023 42185\n34743 36327\n16214 27849\n34743 49337\n7324 25965\n385 35875\n13673 37933\n6116 45119\n8564 34640\n7681 15507\n3101 11186\n5773 19367\n50642 51354\n18740 30372\n27536 31296\n18418 31912\n44367 44950\n24121 45923\n22249 33533\n14927 51247\n31904 33512\n22499 47390\n7248 15236\n19025 52402\n4329 17183\n26174 35856\n24717 37068\n15721 23795\n11494 24549\n8956 37784\n24344 37151\n17547 36654\n16480 49903\n2192 3792\n4932 12876\n2285 41386\n6868 45855\n33719 39280\n10867 33768\n9582 34521\n18406 52436\n17168 21302\n27352 48849\n34659 44272\n11117 46055\n10242 35916\n16024 40116\n1615 19724\n10290 37750\n21973 22603\n37019 37093\n1284 23466\n4788 36640\n11075 20825\n29875 49159\n17037 53048\n14774 27585\n16777 45267\n37851 53348\n50048 50833\n1745 11746\n42119 44650\n8712 27491\n45063 49705\n17424 37433\n35344 40707\n26723 52038\n28941 44740\n18883 52219\n12404 27741\n23367 43210\n4599 22264\n23223 29168\n10999 38560\n21297 42279\n13360 34561\n49785 51057\n33882 47085\n25740 38848\n51888 53348\n7018 41629\n39909 49395\n7425 9618\n21762 49478\n39731 53377\n13212 44092\n6767 32991\n23531 30960\n18075 28846\n34110 35639\n719 20193\n1601 10715\n31897 38544\n4399 11639\n5078 20408\n33159 44307\n3484 44659\n13567 29230\n10837 26252\n12571 19501\n8133 31240\n31960 34580\n3311 20530\n445 4935\n15214 28510\n8336 12981\n18545 50480\n5614 14161\n13255 36187\n25751 50372\n20929 42131\n348 20305\n22749 44191\n11039 12639\n12934 38626\n46802 52839\n6262 9776\n9123 48728\n7504 14559\n49963 53174\n35499 40836\n29074 39555\n29766 43744\n3864 31273\n35733 50009\n32880 36436\n22119 34728\n12816 40646\n5003 10375\n36702 45991\n454 38567\n1791 28327\n27377 33378\n33100 39269\n15746 22653\n47042 50512\n9584 28710\n7013 30143\n10389 29457\n5535 30940\n1577 36340\n30700 41088\n5010 46260\n1490 45584\n1358 25825\n25571 49241\n16612 45446\n1062 26078\n31934 50040\n5189 50384\n17120 46574\n27041 37872\n22501 30266\n11987 24713\n36618 39686\n39389 48385\n26073 51058\n3171 46807\n28763 29949\n25166 26593\n6499 16699\n3604 43191\n24295 33436\n7030 29589\n1299 20611\n5803 32385\n18297 49073\n19968 50428\n18727 26383\n13355 23941\n25320 47496\n3290 23948\n10219 29192\n24354 45079\n16311 38696\n15246 40343\n1092 21009\n26864 46539\n11710 17385\n43553 46085\n34097 37083\n9947 10364\n5550 37792\n16041 23133\n21834 29608\n14569 30648\n15367 51079\n22545 43326\n44750 53334\n18346 25023\n4757 12672\n13881 35287\n4054 34021\n32745 33550\n4058 39256\n22664 33137\n1454 23540\n31268 35399\n5607 21943\n49811 51725\n4912 23512\n33695 39269\n26693 47927\n20728 26484\n1947 11447\n25731 48819\n30849 52673\n7304 25158\n8505 9131\n19500 23992\n33809 45544\n1564 45908\n12658 47063\n11346 32126\n23422 27108\n38487 39061\n1863 15153\n30824 34316\n12895 49806\n21038 21481\n18814 44166\n20693 35016\n2533 26544\n27779 29399\n906 16675\n21500 34638\n30419 42015\n35394 52750\n17088 41028\n10737 11675\n35570 36128\n34292 39961\n16021 45712\n9782 31139\n37427 50742\n31422 37227\n2205 19604\n11481 22327\n14378 27714\n1218 18008\n18225 33729\n5239 18402\n6890 36829\n9480 12041\n22798 40956\n4382 49692\n18059 19600\n38165 46006\n28177 45039\n5355 32662\n20941 42583\n12252 17186\n29312 31562\n1037 36706\n36221 43840\n4831 26649\n6549 39864\n4955 48014\n11600 35315\n7796 20381\n16868 29574\n32013 53663\n1030 26369\n6284 35484\n8138 36475\n2287 8225\n5818 17354\n7876 28180\n23364 31893\n18621 33950\n27836 38333\n16161 45353\n4756 53785\n12774 16026\n9077 42883\n34090 42048\n14709 25135\n13052 45336\n3106 45565\n7218 48721\n9096 10186\n13214 40862\n12276 26078\n15885 43997\n15256 37559\n28890 32618\n5781 39078\n15443 41139\n32061 50778\n18191 37697\n6756 17350\n21253 27141\n598 10016\n33152 34811\n6947 30061\n38020 44967\n3495 15213\n23653 25900\n29114 45622\n16506 25080\n41417 52473\n35487 38318\n8202 17123\n3765 7719\n16167 34402\n3962 12718\n39035 51521\n2970 21011\n25767 50569\n16385 46575\n10164 22594\n35695 52795\n20922 22755\n36350 45451\n3490 20368\n25237 36715\n16107 17579\n8493 34544\n18691 51569\n312 44838\n24367 38000\n20328 34346\n304 40301\n13139 33079\n4317 29281\n35318 48989\n6987 8918\n40042 40246\n1997 52022\n5215 43677\n23428 46648\n38501 51338\n7656 33976\n8043 15211\n15374 42702\n23001 23610\n5122 19518\n18030 28977\n36094 49810\n12407 22862\n20479 36999\n26808 33889\n26502 26558\n16236 21695\n3035 17457\n23463 42825\n2899 21795\n410 28170\n9242 36789\n11606 49417\n46772 46787\n2385 33588\n10449 35161\n38383 49245\n3827 30757\n7266 23600\n3086 52457\n37204 50205\n7115 31123\n10304 40591\n20396 31990\n18561 46740\n10201 41562\n8439 32181\n40666 43941\n13923 50245\n4794 14930\n27756 44586\n9866 19744\n10607 15509\n2555 50217\n19837 28457\n29773 45812\n31697 44511\n20243 40581\n6222 11683\n4622 34385\n50218 53449\n47411 52775\n16153 39381\n25091 42864\n13178 30802\n23254 33300\n23372 44653\n38587 51647\n23593 24327\n5482 29580\n13229 39558\n7091 39317\n22809 33683\n11936 22399\n29984 49441\n48069 49563\n13751 24267\n18878 28902\n27405 52648\n2149 14093\n8379 16386\n9874 24032\n4068 7526\n12884 17186\n22800 24568\n19748 21997\n13358 42041\n3227 49937\n28771 41565\n3881 52076\n16558 32382\n32517 49577\n4936 49008\n32917 52116\n40000 44056\n9570 18641\n11494 35280\n21590 52163\n22120 45445\n31494 34982\n21012 22797\n22781 39517\n4261 52919\n20944 46737\n21484 48557\n30245 43617\n11884 48820\n372 23814\n4500 31678\n4261 49159\n7301 44560\n623 8183\n3486 40894\n5388 15376\n25414 38265\n13020 52510\n41098 49832\n22219 38707\n33762 34557\n35351 43141\n24199 41640\n2521 16056\n3135 33691\n29626 44978\n17680 40396\n8567 23541\n21695 37905\n5048 20270\n10906 53634\n20184 37764\n23168 34492\n3203 47200\n6348 24609\n22453 51491\n5625 32205\n38521 39164\n33044 50799\n5025 32520\n5887 44927\n7120 17783\n29187 44293\n22676 39008\n19200 52602\n36441 45107\n19517 19539\n30843 44095\n39790 41281\n24594 28543\n7036 35182\n9673 38230\n30164 37310\n10615 11638\n6852 8971\n5437 42522\n4365 7302\n12961 40141\n2632 27742\n39922 48511\n4476 30429\n4484 51668\n1697 32835\n3524 10329\n9616 42609\n29031 52695\n5744 48363\n4461 30938\n21184 29637\n34065 43667\n5697 8278\n41154 42811\n15621 16817\n15928 37022\n10614 34285\n43746 48476\n4376 8325\n4509 7370\n17883 36733\n41952 49629\n13409 31174\n11626 35658\n6815 20528\n44209 47127\n2812 38354\n22852 39031\n17202 44611\n6794 38941\n2526 12656\n17736 34858\n22979 30562\n11633 19793\n26312 45575\n7593 33190\n15763 19679\n29171 51127\n37716 39937\n17626 18209\n19796 48664\n7217 43636\n22189 40918\n42754 45452\n2462 32634\n27377 35966\n5700 51061\n38849 43596\n17183 32370\n8751 53243\n33230 39518\n35173 50396\n19462 25216\n40901 51372\n10411 35517\n23469 51873\n563 47778\n2537 40501\n18314 52715\n15469 53810\n6303 10112\n30 38234\n1557 51339\n35976 42826\n7120 43461\n15580 46186\n2234 15492\n1356 50350\n11363 16227\n3022 33862\n47550 53248\n23486 30247\n19674 45307\n4876 35134\n1082 53353\n6806 13140\n4027 46793\n9288 53791\n31543 37595\n5609 22356\n21141 30631\n7346 31874\n30000 45642\n1101 18799\n16987 45590\n6770 21512\n4555 39352\n29746 43691\n8748 15587\n27696 45649\n14135 26062\n11649 20482\n49436 52572\n37098 37998\n35988 45651\n21182 26626\n13515 34288\n3222 16663\n22667 31558\n16833 35467\n25571 38303\n16520 31316\n49755 53060\n4571 32308\n7950 20829\n9568 12549\n1098 41665\n26525 39545\n2590 13320\n8757 26743\n28020 47243\n25175 29820\n6799 20426\n21160 32176\n13162 52160\n23944 40740\n21832 36466\n25442 34242\n3526 27042\n9203 45937\n21185 24820\n28789 41919\n429 6339\n10074 47484\n17594 28032\n12978 37161\n20421 44603\n10396 20394\n9205 42706\n11770 27065\n15813 53477\n16731 31779\n30699 50788\n18133 42383\n45739 49252\n14046 26853\n22286 24567\n7298 28071\n11998 42625\n113 39590\n12884 35217\n29047 45981\n27981 33036\n10600 23114\n5345 27391\n5050 15505\n1548 42420\n15865 42478\n9476 44360\n7784 21911\n31314 46517\n31742 52766\n13512 19696\n805 27110\n10363 49653\n3618 6197\n19999 34140\n17147 30684\n18008 27495\n21381 38960\n10772 50757\n15923 16360\n21059 32724\n18506 31332\n41654 44315\n38693 49117\n21295 29309\n7785 25678\n19421 44633\n24880 50014\n25904 36596\n20403 43155\n23218 28810\n11913 13762\n39973 45508\n12316 39537\n1929 16819\n24780 40453\n15267 30314\n44368 45403\n8604 34850\n4288 52716\n11146 49763\n43569 49655\n30778 46354\n10911 48937\n13071 31951\n17960 39471\n39187 49489\n1436 10123\n40257 46940\n2849 46683\n3055 34273\n20767 35132\n46837 53425\n484 14858\n17379 35377\n10196 44845\n32645 37883\n10829 28638\n41020 49929\n9236 40584\n17123 32709\n3008 25926\n20448 24779\n12799 28034\n1651 41267\n3678 27149\n26104 32064\n34454 49715\n9010 53322\n5911 29455\n6832 34395\n9817 33913\n2610 44079\n38852 50628\n11166 11389\n25322 46203\n16995 27397\n33840 50771\n4249 38542\n17315 40915\n31322 47093\n22507 24483\n35027 47749\n23206 34647\n15284 41089\n18495 31044\n6965 14476\n13707 23033\n233 44898\n12825 47758\n10691 26970\n33909 36366\n2251 48195\n1665 37669\n27308 52537\n17123 45480\n46814 48319\n1444 7167\n17495 49013\n10188 43198\n10824 13822\n27343 33893\n8491 30283\n22562 46995\n12088 36243\n355 43656\n18367 36951\n8763 26981\n10000 10731\n2574 33423\n18477 42566\n4239 27565\n614 42235\n5143 42364\n10901 48933\n2858 42660\n42104 44802\n5580 35781\n26138 39563\n341 9498\n1815 30236\n42256 50466\n27532 41658\n8259 30987\n9516 23817\n27590 42535\n9592 32063\n39217 41500\n10974 41703\n30378 35406\n9118 45578\n698 31581\n22176 27274\n22018 41176\n8604 15155\n20951 23222\n33103 42799\n6700 33700\n28692 48577\n32567 36026\n4720 27194\n27634 49026\n12434 50974\n12156 27639\n6117 24990\n2334 21704\n9232 31495\n9017 37781\n7133 31614\n6694 16795\n10393 17526\n6168 50309\n5479 49431\n27905 49903\n31443 39044\n11520 50628\n33954 51572\n14726 17275\n4676 50759\n8482 38669\n18243 23291\n8343 51603\n32750 47824\n9420 27832\n7243 44946\n12960 33842\n6686 27111\n21232 47935\n17533 34374\n40938 43928\n9708 10717\n15475 51565\n30954 48614\n21938 51417\n17697 53681\n36813 38375\n12960 40527\n5994 37658\n4020 46085\n33198 50512\n32069 45513\n23183 39121\n9752 37704\n10360 34332\n37089 51872\n18222 23078\n18667 29683\n15879 40344\n52365 53627\n26520 46885\n13208 44236\n21240 42742\n29946 48720\n26994 33880\n15151 35610\n3484 12193\n4804 33502\n5543 31926\n12102 40968\n3714 45392\n43938 48771\n31275 52701\n25552 48305\n19383 50867\n5378 24963\n7176 27880\n8521 27219\n5237 40959\n27807 50409\n8365 38699\n10385 27517\n10457 46337\n28174 34703\n21653 26128\n942 26019\n20931 37783\n27387 39105\n47513 50309\n10137 39191\n18672 33193\n3856 51982\n30858 37559\n3331 36402\n20593 38108\n22551 24092\n28433 48036\n2825 48123\n6340 15491\n6173 46709\n8680 23608\n27308 45599\n19093 20352\n18297 52141\n20530 43547\n439 46640\n16325 46826\n6878 23923\n8881 52312\n8545 31462\n35613 37134\n17552 40139\n42653 51064\n13630 21188\n27329 44490\n32910 46676\n20027 41719\n21294 28951\n17430 51494\n18220 30436\n32443 43724\n24077 26443\n7837 35486\n4043 41842\n31685 43056\n5210 52639\n32803 39327\n5595 19354\n8895 53295\n13834 19267\n2434 13203\n18830 20531\n3218 52027\n20212 24258\n14402 23385\n24082 31993\n16379 21632\n29371 44509\n1676 49811\n32275 34293\n4929 36181\n48805 51814\n26585 40363\n10381 41787\n6492 41342\n14355 25629\n42500 50291\n15117 22988\n42730 48290\n14667 28134\n33299 43990\n1851 44061\n21859 49831\n9570 32473\n18876 45125\n45745 53785\n8050 9515\n24621 39235\n17382 46428\n2994 18166\n8967 25327\n24303 42121\n5630 37118\n43346 43665\n6128 11476\n30975 47183\n13672 47719\n33240 41080\n16829 37582\n15947 47808\n16807 27044\n40820 45464\n3413 47192\n31125 34385\n25725 26645\n18491 39251\n33549 35448\n44536 46277\n3668 23305\n38687 43387\n4158 24755\n50651 52887\n39306 49833\n7027 7652\n1629 22466\n31028 46682\n9531 48843\n1133 14565\n5806 27187\n2216 5075\n17412 40286\n14853 25645\n33102 36186\n28861 35094\n1458 14994\n4474 24771\n6351 44697\n51560 53257\n40585 44362\n29229 43577\n20928 36982\n14671 47661\n9139 12090\n6051 17378\n4604 11952\n52122 53496\n7230 25476\n18558 28338\n49858 50751\n3460 44409\n35883 44956\n37734 41381\n29780 44829\n4540 5642\n31997 47194\n2858 17537\n23034 45165\n40969 49726\n32432 43435\n13692 38917\n11518 41328\n8681 36236\n34350 44148\n19770 47957\n30162 39655\n15159 30598\n13142 52398\n31859 46356\n20324 52300\n31557 52421\n20713 28607\n6071 11895\n3543 5920\n23367 50376\n913 2440\n19573 29871\n37397 49415\n14156 35164\n6628 50502\n7384 11488\n14467 23309\n560 22431\n6674 29942\n7660 35373\n2899 39575\n18277 43918\n6734 14145\n18834 30095\n44330 50005\n24780 31683\n23841 28190\n28344 49781\n13448 14746\n2416 22092\n10796 33762\n2525 6880\n18008 38923\n52820 53706\n7925 34791\n26018 51764\n32334 42035\n21472 37165\n45204 53195\n36170 49688\n8109 27544\n16243 18043\n40497 52498\n10134 28755\n12012 24193\n6723 47776\n36391 53680\n19434 47789\n13062 13285\n29694 39278\n12753 37209\n15039 24032\n33290 43802\n21072 21891\n6823 31423\n8715 10591\n28122 35570\n4655 45754\n310 36706\n36112 45538\n18817 20246\n26020 48295\n26723 30185\n14962 52598\n7161 10712\n19080 25838\n4157 6065\n41433 48783\n6461 34941\n16482 53706\n11818 12036\n12185 52807\n869 39957\n7721 12767\n1713 47820\n21329 23904\n418 45191\n35066 47442\n55 2440\n27469 42021\n4868 22973\n5542 28447\n3690 30353\n25321 32063\n7304 45091\n40530 51611\n13733 39744\n8995 31044\n24185 24237\n33854 42574\n33645 39615\n34662 44895\n24569 38777\n32462 37502\n21967 53774\n2183 21634\n20410 35514\n1808 35161\n7838 25155\n11476 34810\n8698 51572\n10772 53233\n27830 47132\n16770 45249\n4783 53284\n7829 23450\n39201 49920\n8600 41906\n45915 53881\n23028 38426\n8074 41803\n43597 47711\n4633 40618\n19209 19502\n16828 44256\n30710 39526\n18978 35009\n33643 41026\n4614 48407\n25940 40215\n12717 22193\n2346 22007\n15637 25252\n34226 47865\n12975 39960\n17954 44578\n30420 49781\n20839 43817\n2543 13715\n9437 51916\n8180 48115\n1841 49806\n18159 53041\n6458 50535\n44990 46102\n1303 28336\n7447 42434\n26876 50442\n998 27507\n5716 29941\n4657 18937\n2924 20085\n17163 26056\n20518 36362\n27784 40061\n4069 38204\n25834 50521\n26597 33429\n15113 20225\n2238 31531\n4091 13303\n3658 48791\n25649 40874\n43872 48624\n33992 40103\n745 22722\n15931 22475\n32848 52401\n48412 48866\n21125 36928\n5158 18703\n23200 48766\n18444 42760\n36931 45277\n27401 28571\n9772 16340\n29765 35230\n1858 35786\n7976 40990\n10475 29499\n9185 45543\n23228 29446\n17039 25183\n22522 31957\n8270 37804\n18497 30060\n4565 46211\n19457 37428\n49756 49831\n13315 17972\n25994 36919\n5269 18901\n13223 37661\n1364 51036\n39201 49067\n28011 53482\n29441 46020\n38845 49393\n22834 52553\n35468 43956\n26044 46132\n19836 24421\n7491 30164\n34134 44199\n25181 45892\n26808 49613\n21964 51785\n4390 16962\n13313 52593\n46157 48020\n39576 48503\n47363 51221\n1845 21929\n16478 17105\n15232 49118\n17940 29855\n17295 45440\n8635 12455\n5915 46718\n12700 41956\n11875 18663\n49493 49810\n11236 37865\n9234 31175\n21460 53140\n459 53422\n36277 51341\n20444 39871\n7105 7581\n1149 23605\n25956 41243\n10723 36168\n13596 46004\n34377 46520\n22667 31911\n15528 31574\n18482 42640\n12220 52023\n5743 40912\n29427 40099\n27951 33737\n9780 27696\n34102 52501\n15047 38668\n25346 52033\n38953 44619\n415 48785\n18639 29990\n32800 41456\n41042 48887\n19133 47843\n8740 21429\n27625 45625\n25941 53151\n1225 21836\n27809 36063\n17591 20166\n6203 52856\n4061 14738\n34749 40366\n30995 39138\n17112 45233\n29314 51915\n4263 53640\n1336 49915\n43050 48436\n2116 8598\n29879 47657\n15059 42686\n42660 49662\n20085 29121\n23782 49230\n4512 50601\n23361 41437\n16995 36008\n11485 12102\n28957 43616\n2159 12205\n3926 20949\n749 6169\n23901 45836\n29813 48540\n24420 50790\n29760 40377\n23193 49208\n2289 3253\n34894 45416\n4994 49804\n10380 45004\n23311 49534\n37838 44118\n39508 47848\n6717 49910\n27613 45738\n460 33957\n26189 47007\n49009 52850\n9699 19477\n7002 19247\n26986 46848\n9891 29026\n25824 41243\n5667 28924\n9787 49618\n4988 26619\n32447 38826\n367 46130\n16081 21845\n19121 27298\n7745 47659\n4107 12456\n11416 39550\n27601 50089\n25512 38451\n17938 32263\n34897 38220\n1612 51516\n19926 32577\n16162 39681\n1874 53527\n4080 32314\n3660 16670\n42906 50086\n3686 7211\n17015 17673\n30490 48900\n7696 23309\n38340 53010\n15314 32331\n7423 23311\n44640 49903\n28044 43066\n38662 40689\n42470 45119\n22953 23768\n4629 28804\n9867 30045\n11829 51516\n2373 21745\n26035 40465\n4463 6108\n24117 39780\n43633 53282\n19908 49212\n9840 10729\n14720 34761\n38912 47722\n35933 40102\n4926 29373\n6909 18762\n5576 10013\n32750 38209\n36239 45672\n6903 16145\n37777 52022\n40763 45214\n21966 53714\n22987 40409\n34945 48984\n23393 38023\n33377 36073\n3284 6113\n6239 44335\n12384 31011\n8710 18159\n5184 53616\n2888 39404\n31817 47386\n9503 29779\n14598 37453\n2821 49503\n5330 9846\n6042 7407\n28430 50421\n13544 44568\n5857 44379\n30426 38557\n9984 15572\n935 21040\n21818 25989\n13310 27586\n2884 52580\n8904 19384\n6024 43181\n15484 32005\n28436 49763\n49710 50059\n11280 18940\n9997 29544\n27660 40111\n9876 23001\n5659 20343\n17811 51938\n15096 31589\n5803 10059\n9282 27499\n10072 38879\n36497 50467\n38540 42233\n19490 52375\n18867 45922\n17513 49548\n19686 50148\n7230 31399\n16053 44118\n18112 52940\n37653 38484\n37315 49960\n13800 38286\n28820 38546\n6108 38285\n46721 47712\n3303 7060\n18995 53549\n6217 47539\n25893 41076\n35404 37896\n508 29173\n18810 30928\n2717 15420\n21245 36847\n5074 34377\n14332 25664\n14393 40711\n31952 51334\n18245 35784\n19386 40819\n5665 51660\n41103 50816\n19544 50068\n14154 15850\n7307 22175\n11141 13471\n26600 40959\n32724 41627\n2788 38954\n14910 52949\n22946 36902\n4514 28083\n1188 1662\n40600 49308\n5228 33290\n1952 19250\n6900 18963\n21800 35334\n26809 29327\n34633 40702\n45837 49707\n20420 41770\n28038 28835\n42202 44455\n32556 32947\n28834 34575\n26885 51774\n42698 52504\n16700 38649\n7752 44135\n3322 3508\n19457 29791\n36329 53634\n22934 39360\n3277 47301\n10518 47376\n1542 5574\n25655 38257\n24181 31965\n25112 28188\n12354 40009\n40636 49028\n18715 46632\n8648 36923\n8994 18689\n10796 29944\n32505 48645\n27496 48338\n4582 47829\n18519 35273\n3004 52318\n19378 46375\n9958 51974\n13260 21268\n16729 40348\n8162 31390\n33862 46253\n18780 51811\n14412 15509\n13783 24591\n13775 25138\n19038 32817\n39776 51933\n7286 29756\n3548 4034\n7942 10041\n2662 32483\n6140 22483\n48451 53412\n51626 52340\n1498 45784\n18559 37459\n17870 48896\n3630 47743\n10363 39970\n31735 47145\n25194 25824\n25001 36756\n9691 50036\n2366 53505\n30928 47774\n19751 44179\n7495 36804\n8322 32501\n12681 53446\n25051 50478\n25197 50329\n23334 36787\n4900 9543\n21417 24021\n18519 24104\n20500 51973\n37892 46119\n33749 43749\n10975 30601\n5069 36695\n23102 32801\n13635 38207\n36247 38503\n2114 49315\n43349 50327\n24802 33234\n29626 38968\n16971 46850\n24647 34036\n20752 49037\n40347 51952\n32686 35403\n19227 19529\n6560 40689\n40338 47167\n5897 52359\n16947 23613\n21677 39958\n23167 27494\n28092 36662\n9013 38938\n2176 34113\n11147 31532\n17372 53480\n11484 20127\n22584 42457\n27934 31550\n9403 24723\n11549 27480\n40836 43213\n17726 21076\n7218 49565\n38216 42163\n47854 47872\n46879 52489\n44602 52563\n15604 37659\n23077 43366\n962 18196\n360 30225\n11260 46957\n27828 31825\n31176 45381\n12644 28435\n21985 31594\n3731 21508\n20338 38231\n27370 41913\n502 609\n31406 35235\n21963 36872\n24994 33739\n579 46653\n28703 36474\n3685 23526\n10675 14843\n32003 45918\n42143 53711\n6810 24411\n20733 34733\n14506 40319\n18719 37905\n20479 50682\n37641 46717\n11035 42152\n27894 48019\n17359 24765\n1972 9267\n15941 24892\n8343 12668\n4054 19133\n26906 49769\n23992 30572\n36631 45326\n27270 27703\n36120 41280\n22584 25813\n8437 53811\n23521 41232\n10951 30363\n28807 34312\n959 28732\n30689 44955\n1052 26784\n24671 36170\n8531 36756\n1565 44259\n46617 48731\n40831 41114\n44932 45127\n11964 53232\n36499 50493\n4995 5489\n3198 32194\n11540 51758\n10912 14570\n32431 46647\n17841 44334\n1971 7206\n23871 30921\n2679 22068\n1662 34566\n18882 20370\n2290 28382\n12864 22278\n17341 35319\n21721 27099\n834 53014\n29215 29961\n20798 24249\n19286 53087\n24568 50120\n9060 13979\n1433 45261\n40051 50228\n19014 33959\n41226 43791\n2285 6690\n4510 49484\n11068 16106\n15843 19706\n6669 52973\n25647 31256\n1373 13610\n21682 41913\n6207 44869\n22090 45134\n3528 51722\n29403 39910\n2606 20322\n10631 41202\n24215 48702\n10922 16452\n23148 42708\n25847 48175\n6891 32714\n16611 25633\n25073 29497\n23594 42890\n25733 34511\n19361 28611\n18075 31683\n8002 41972\n39641 47514\n4740 33955\n9962 38198\n42402 44585\n40926 44832\n45272 51507\n7292 7423\n1715 17427\n32148 33834\n13463 18058\n5591 39691\n37633 51267\n31913 43230\n25980 28587\n26073 46927\n31209 37286\n26602 34150\n8463 45147\n37012 49865\n24407 38294\n7379 20117\n2767 33232\n4306 26097\n20078 20538\n9744 22152\n7966 44992\n34019 42618\n34591 42280\n37274 51722\n39328 49040\n17209 20167\n119 40868\n22483 40349\n22482 39217\n32852 50474\n23661 25477\n22706 31544\n19659 50649\n16047 41552\n22137 27147\n6990 43902\n22413 26597\n31630 32282\n27769 34430\n6093 17930\n7855 39929\n12477 15695\n23298 51253\n4338 50658\n30683 38607\n18707 39097\n2869 4416\n1769 14947\n9453 26087\n12310 42539\n7767 18127\n8212 35300\n3696 33794\n16610 38236\n24546 41130\n33176 40853\n8590 22456\n37339 39376\n32897 44129\n23242 50688\n8299 10277\n13880 21734\n3591 32251\n33060 45139\n4533 51105\n12452 14729\n17977 45590\n8133 16324\n25664 47320\n127 41186\n25443 43567\n10275 51505\n12093 20574\n10051 36733\n8571 29065\n25111 43690\n36738 45706\n7673 31497\n14574 28498\n15386 27085\n26162 39153\n18125 49497\n9755 38204\n38493 51520\n3312 45174\n24415 46893\n14666 15206\n22473 24522\n12173 29859\n6621 38831\n23607 26708\n28474 51139\n26604 36715\n37952 53056\n27289 32215\n852 41067\n1858 3107\n3524 18975\n40831 48820\n4519 46736\n23231 34835\n40279 44395\n11820 29428\n10025 38917\n2388 12606\n6175 36335\n7146 51903\n11809 18137\n7027 47489\n462 26481\n30458 45921\n41361 53519\n23903 38064\n23803 41741\n5745 19764\n36552 37322\n24448 52917\n10634 16473\n22606 30935\n467 32541\n18617 37045\n1708 25171\n22742 23529\n29645 36984\n33075 45298\n13479 22859\n36828 48148\n46403 51281\n5180 14699\n8808 39715\n19473 27961\n43464 44797\n43165 46895\n7686 30809\n19933 35653\n32041 51956\n10421 46911\n21868 38355\n41143 46929\n18334 26680\n1873 39766\n19221 31720\n35754 42147\n50817 52594\n32965 34029\n33674 36522\n1748 46058\n23482 36749\n18924 41188\n8791 14453\n11684 26792\n17902 32157\n7319 51012\n14210 25771\n3769 22608\n37850 52289\n17596 30118\n27752 53571\n45 12247\n24853 46329\n17228 44343\n21542 50099\n9754 22540\n19374 46270\n41760 52007\n8233 28167\n23540 27793\n12198 53643\n10281 38572\n15874 27586\n6013 12038\n28661 46683\n13361 33049\n15059 30869\n19740 29978\n11764 21177\n17923 53111\n17740 45071\n565 48133\n7426 44940\n24817 38981\n11848 47594\n48080 52997\n50588 50860\n23345 37738\n12410 20763\n40230 45878\n4260 31106\n2820 46238\n8335 16158\n5774 25897\n42299 51487\n4247 46420\n51582 53508\n7107 17672\n1082 25047\n28038 31130\n26823 50883\n12839 37597\n20820 22447\n6962 9382\n8998 39488\n2713 14285\n43905 44982\n5379 11984\n8178 20717\n12337 20917\n1758 52793\n40437 40638\n35600 41591\n4185 9397\n4379 50944\n3067 39181\n2370 8367\n7428 46067\n26490 43488\n17921 31769\n21207 43417\n24930 32340\n8842 49343\n5493 46227\n36121 49667\n7583 20857\n22886 51219\n6352 15071\n38098 49510\n38295 44326\n11739 31415\n9134 11687\n16365 45826\n9321 43095\n9038 25041\n4567 37620\n6219 13262\n32764 44789\n6150 52307\n7422 42447\n11447 50148\n14378 39515\n28822 40937\n15364 18381\n5827 21258\n12017 42902\n19104 31309\n9322 16351\n6293 27888\n4402 25717\n5592 44088\n14401 24435\n4786 6523\n2215 5320\n40392 50456\n24825 29647\n50607 51990\n35271 40317\n12285 26699\n40346 53352\n20118 30626\n31564 47221\n11216 30315\n8221 31411\n8375 33964\n388 22306\n28004 34793\n14244 14259\n2769 50127\n15041 16037\n370 45081\n40644 45509\n12020 32605\n10259 20782\n1508 16497\n23858 26549\n25715 30072\n51842 53490\n14380 14711\n9359 14591\n27609 28114\n12388 27048\n32834 35670\n10430 32654\n29672 33441\n17571 44038\n2802 13887\n3028 18622\n10330 22512\n9600 51212\n18523 25527\n11167 50874\n41019 50131\n13370 18286\n22735 32059\n16004 48190\n494 53662\n25728 30274\n23661 37049\n18850 44603\n4044 5137\n12037 45696\n13616 14688\n6637 10886\n10760 20796\n14432 41282\n14699 47108\n13914 34135\n19092 29877\n21002 48601\n22386 43259\n19403 29092\n4948 36174\n32891 34770\n39773 41519\n18034 33888\n23771 31589\n11434 33839\n26971 39187\n1319 35142\n12945 24874\n34400 43302\n428 20459\n2682 10551\n34677 41744\n1906 30046\n20192 31448\n4005 51827\n45970 51184\n14085 17534\n4900 9319\n35224 44983\n20555 30120\n21420 35905\n24194 40633\n7419 43520\n31379 37948\n4121 44070\n6864 35072\n41749 48820\n10384 27377\n11723 17779\n30106 40683\n24274 42159\n26144 48619\n29077 53411\n12901 33099\n36719 42305\n10640 41732\n12952 47616\n21374 49978\n42418 44498\n12242 13189\n36587 42975\n12688 36294\n10950 48648\n7588 37096\n22678 31365\n21797 27864\n25991 40979\n4865 36477\n4249 30297\n4393 38303\n4749 8764\n20484 35763\n4105 38897\n32860 50042\n17553 51270\n27010 40768\n22707 44464\n22893 35699\n5815 42629\n25438 43024\n12524 48165\n30220 52220\n742 9381\n36771 46315\n33989 35414\n25235 50348\n2783 16010\n19796 51243\n14996 36357\n33032 38438\n9384 20529\n32855 45464\n47872 51821\n22220 45410\n10144 21293\n27466 48546\n15390 41293\n22188 24233\n23188 25011\n23944 43341\n5098 7883\n2032 40704\n13156 42642\n19870 26691\n30408 33436\n12912 49858\n29087 40294\n31606 40490\n15482 34879\n45940 52729\n16735 49795\n14991 30122\n19323 44818\n22233 46757\n12698 47267\n38047 53737\n10301 53531\n1434 44959\n5075 5806\n35752 46422\n32994 53114\n10714 53617\n7219 15707\n19252 28977\n35042 39189\n20164 36417\n14960 20259\n15696 18196\n13658 28098\n8651 31116\n17664 19538\n37439 43331\n14204 30534\n1569 30942\n15636 26908\n29870 35892\n6331 17499\n6866 25707\n5184 27546\n10057 51886\n1936 4492\n824 16087\n14109 38559\n10604 47693\n5792 7432\n28471 46275\n3189 50611\n34371 35098\n17476 47867\n43685 47341\n5666 25595\n47163 47941\n17557 48206\n17805 31050\n14883 27637\n2103 38976\n1691 39705\n954 23537\n27979 29717\n23005 25004\n26415 34970\n30419 48633\n38553 45254\n16417 51268\n3250 14519\n24791 25909\n21521 36784\n13831 49104\n20823 26660\n21572 33744\n37603 38649\n10098 37307\n10041 31080\n10172 37839\n3554 27731\n4424 51267\n34734 35363\n22968 37199\n9142 26133\n2727 53295\n9148 30786\n14155 34959\n5243 47076\n31617 34541\n17350 29031\n10884 23211\n29435 42241\n4087 35348\n9686 38053\n5747 21828\n10827 48045\n10497 20603\n33405 39401\n7462 49097\n22846 30295\n9972 11966\n25228 37618\n43178 50326\n19820 52515\n30085 49915\n6330 13894\n9081 22759\n2837 9852\n10208 18762\n9432 34478\n3321 46884\n4712 13759\n23094 35222\n8679 10648\n138 9205\n1731 22030\n20407 32462\n17842 42441\n7915 26513\n18246 35372\n6239 31238\n9205 35452\n21969 41172\n44500 52453\n3499 52709\n32109 43513\n23600 41162\n20746 28316\n15016 45137\n23257 36899\n13198 22665\n28255 42531\n18266 19125\n354 22281\n2294 37337\n3200 4354\n1304 43086\n4388 37452\n16823 26282\n17478 17966\n10142 25199\n33976 43406\n14348 50670\n17725 41045\n1714 41152\n25834 44675\n24699 52301\n19000 35709\n25843 33035\n19305 24680\n46405 53299\n1583 51971\n31240 32315\n26293 32885\n14160 22250\n19224 47688\n14763 22251\n37720 52294\n25917 53496\n24068 44553\n27256 53841\n11817 25697\n22625 49456\n13201 47335\n29196 31281\n1232 46528\n13257 42152\n1574 38698\n35118 44103\n19100 29406\n6791 42079\n12296 33528\n24627 48402\n18420 44141\n36424 38947\n20954 53915\n26385 35384\n23837 41238\n38763 49375\n29891 50108\n4518 47864\n22484 52871\n9908 25085\n1790 53152\n36054 49802\n324 14027\n5981 37034\n13696 27991\n13936 16128\n9574 24084\n12848 52031\n18509 26128\n7027 50727\n14185 34029\n27352 39137\n3203 14150\n31105 49446\n26189 42543\n13875 52620\n10223 41815\n20269 47366\n21543 36588\n6053 11742\n13245 21821\n39653 49445\n32225 48597\n10605 29026\n20243 50722\n17445 29349\n14957 26144\n38080 44830\n4699 27104\n48686 49228\n8860 15552\n390 46969\n13279 21183\n2615 34562\n43845 46463\n32420 48801\n24898 50714\n1885 28110\n23599 48176\n19301 26667\n39144 41487\n20322 32713\n36868 39413\n21484 33536\n2220 16657\n10456 25619\n4428 9548\n2384 38463\n8701 33115\n5134 12845\n10160 46157\n44354 52252\n26328 47847\n20457 33085\n3757 41376\n7028 40795\n11879 29714\n23428 35380\n41034 44102\n6319 23038\n269 22790\n46143 49205\n36714 43898\n7848 23604\n14810 30165\n26345 43129\n4956 43527\n22136 34866\n13355 14035\n31433 40107\n34519 43089\n14289 31038\n36101 42906\n20827 22636\n13222 51342\n48576 50083\n33523 43474\n24458 53845\n40294 49497\n9941 29802\n12065 39452\n20395 44858\n5479 43558\n34622 45776\n36352 44364\n27017 35048\n29516 30961\n5 9429\n25916 29348\n21639 35527\n45100 45265\n31439 46164\n28950 47044\n5330 26014\n2639 16202\n10444 35340\n15735 48944\n35196 51705\n4882 39701\n12296 15365\n4765 6577\n16923 38561\n22635 22720\n15240 49577\n15341 26803\n6224 27376\n279 26547\n4369 7754\n15634 34262\n6139 37473\n22780 40550\n33700 45388\n2691 27594\n24789 33935\n2895 52611\n10824 45484\n17758 21727\n39876 53106\n23066 38004\n21306 48477\n15714 32121\n37582 46533\n1333 51180\n16534 32936\n17 33739\n41065 52274\n12854 37003\n9786 18266\n45197 47129\n5402 21260\n6420 44970\n6061 45253\n28698 42176\n46599 46928\n9375 10248\n35381 48394\n8952 42812\n17590 26860\n46179 46463\n2754 16684\n45372 49312\n19225 29659\n16355 42690\n13070 13165\n4233 41853\n3959 5447\n12059 39741\n2783 44168\n18128 52140\n16709 41072\n27591 45961\n18695 50088\n17345 35298\n12232 21219\n41146 48758\n38579 51755\n7583 8012\n14479 50836\n3059 32110\n49 5619\n35802 44722\n10609 22962\n18784 21992\n1895 41965\n19884 50777\n15519 48804\n1383 46818\n13241 47981\n13496 24232\n14965 37175\n5863 12263\n6691 18633\n23969 30894\n18186 34306\n39400 51902\n17906 39926\n26936 40230\n30119 30874\n36551 43817\n5881 43914\n7767 23208\n9197 35148\n5281 38812\n30666 32836\n17844 23792\n9302 19091\n23786 50743\n21919 32117\n45953 50438\n8774 29310\n19229 52248\n24376 25903\n575 49768\n46860 49154\n14287 31040\n38518 44263\n8971 12224\n18412 27602\n2965 18898\n45606 53779\n28617 33704\n34164 50520\n23394 44029\n24181 28768\n29681 45909\n51489 51813\n29042 47548\n33006 53761\n16177 53769\n7851 41277\n10251 24818\n22750 49355\n13666 15362\n47725 49430\n34200 52045\n20449 29208\n8657 27154\n31575 33241\n7509 37930\n20899 45223\n15784 28448\n19615 23277\n6753 9282\n8125 53640\n36789 50157\n31210 36162\n14820 29136\n1725 25570\n30860 50731\n3151 10845\n6675 24338\n5079 26590\n11186 20454\n30196 30850\n21747 47501\n16281 24859\n31399 50124\n15007 41014\n22181 26029\n2500 51817\n16423 31511\n20581 27828\n1124 18190\n10078 16464\n6168 39955\n24347 25480\n1887 18285\n18267 39037\n5520 13220\n8644 45469\n1729 22382\n24553 45832\n28513 33837\n21096 51862\n26942 29968\n20191 23175\n4813 35428\n19665 20460\n18041 46008\n4393 44689\n4008 31213\n20623 42215\n18545 40022\n1185 10701\n11293 25541\n15515 26937\n17228 37897\n16990 32093\n589 39686\n33399 44303\n21244 36768\n12163 18174\n12550 37205\n6158 10835\n21015 26632\n289 14567\n36948 52439\n34819 43295\n9390 51061\n5741 28000\n5632 37289\n26571 35536\n31991 53563\n45661 51619\n12436 42890\n3924 38812\n2684 50294\n2334 49104\n5374 16410\n23951 25660\n1082 53611\n27288 48940\n28427 30948\n35990 40101\n4649 27295\n29210 49538\n5770 25107\n4182 43225\n15791 45903\n29178 46231\n30553 50058\n39610 48654\n28923 44110\n3539 38180\n17713 43648\n5817 33346\n2195 26277\n48158 51918\n14668 33711\n1177 25879\n983 34101\n2203 47108\n22487 51751\n31338 43248\n9747 32805\n5187 40822\n9618 45260\n10384 40240\n6894 49704\n1433 5148\n5032 10454\n7794 38554\n21581 51588\n33907 50676\n49804 52599\n95 52221\n15691 50710\n43309 44548\n12512 30747\n48495 50577\n8299 44810\n12667 41636\n9440 47206\n1334 3037\n17758 46674\n33949 46399\n7208 47888\n36068 46624\n23812 52337\n188 52166\n17484 52059\n24339 27221\n44629 53017\n14472 17931\n12657 51117\n25251 29413\n732 1924\n3620 41185\n30014 42148\n26975 50014\n29815 51408\n21659 44017\n16120 50091\n8813 27705\n49830 50389\n9418 24077\n1457 36966\n39076 43570\n37502 44430\n17588 49562\n19037 51804\n21159 40430\n1827 46893\n3676 26334\n5749 22740\n3163 12649\n4274 42684\n4031 21856\n21610 38986\n43043 49722\n6548 14200\n40123 46249\n13990 30496\n33827 38349\n1392 18671\n13138 21943\n2471 25825\n29632 30741\n20090 40454\n4562 38636\n14021 47238\n8547 31501\n20678 22395\n23055 27264\n14328 16107\n6446 51168\n9931 21973\n50987 53407\n5264 7318\n1426 20853\n14614 24764\n24494 28937\n17270 46441\n39094 53316\n20118 30510\n19432 20848\n37710 42996\n2887 51665\n10938 48069\n20120 27039\n15112 45727\n5883 47917\n7092 51970\n27171 47143\n6375 16492\n9012 16033\n35035 45802\n20737 37766\n16281 45237\n11630 37237\n4051 39207\n10628 38203\n50451 50641\n2399 24276\n46892 52245\n4848 7401\n29085 39607\n11233 27221\n23827 25655\n16274 51586\n37191 45790\n19058 39149\n3527 32118\n11527 21790\n41395 41466\n32362 40545\n18240 42064\n9412 53537\n7628 32715\n24174 34276\n2723 47525\n12163 14198\n4513 22679\n21428 52917\n19068 38744\n16969 39791\n21215 39026\n1437 15165\n33734 44961\n6139 48515\n25566 35122\n1608 14708\n7910 39812\n32501 49061\n44117 46411\n5157 30030\n15260 43696\n1854 50821\n77 21959\n20607 22524\n17454 39695\n21234 27333\n4342 40373\n1371 21977\n22820 48052\n11178 53904\n33909 36255\n35842 42310\n11220 34412\n4437 13509\n4632 12901\n6920 48823\n26055 51430\n24505 31438\n7220 45450\n22094 36651\n36712 40792\n7156 48033\n3180 5244\n50566 52649\n1323 33403\n12737 35874\n1174 45866\n28051 39183\n7106 12054\n16909 34225\n25881 36580\n27750 29686\n38926 46412\n6755 51177\n23282 30796\n32613 32661\n33865 49337\n21175 28164\n18084 26041\n1383 53335\n28715 40419\n13314 47437\n23867 50663\n990 19275\n5030 20612\n40082 53115\n8052 37587\n16545 26942\n35712 39659\n3897 43543\n10250 28985\n42696 47992\n40660 49602\n19659 20389\n39327 51011\n2825 13363\n5231 27441\n8442 20826\n2817 13821\n12688 46445\n3101 24357\n358 44856\n19280 52025\n18341 49102\n32960 34386\n10098 32530\n12264 45506\n32180 40212\n16113 39844\n22339 32868\n23374 49987\n32463 43953\n1019 51984\n3603 21601\n2955 47364\n22144 41888\n43758 45735\n4356 32563\n24955 25469\n8682 33877\n24025 27893\n20102 50990\n21491 25908\n15008 17840\n3791 24473\n32591 39760\n4863 12380\n32788 51078\n2260 21649\n3493 31118\n16927 19695\n2280 42609\n14152 51529\n18920 47375\n45464 51329\n13381 40008\n22598 26502\n964 52220\n18345 25972\n17818 39360\n4656 15620\n8714 26622\n25047 31330\n32818 52881\n12033 24501\n16376 17306\n21482 34668\n42575 50746\n42655 45693\n6258 33998\n5162 49020\n6087 36897\n204 4840\n7743 16735\n2508 47825\n3354 27668\n20642 53653\n1630 17861\n29195 34689\n14020 42331\n20456 28802\n32115 36259\n40913 47301\n31521 40243\n42203 45795\n18516 37366\n36842 49772\n32077 32937\n2486 10233\n14891 32435\n27109 45129\n28631 39881\n37625 46507\n2304 47856\n31344 49000\n23488 25464\n1189 19240\n1031 40883\n1218 18958\n20039 51540\n8708 30155\n3201 32816\n28175 37604\n10170 39498\n16890 29195\n29672 36237\n149 45403\n17279 25112\n8525 25354\n20349 51517\n24342 51884\n30407 42930\n3554 12504\n13835 16507\n588 24522\n19036 43835\n40304 46506\n4097 13555\n14796 50358\n19674 27329\n21919 24591\n25381 37272\n5241 36947\n26333 26921\n13002 49703\n20068 53157\n35389 45338\n4345 40819\n17497 41613\n3074 21222\n13627 24090\n37112 47023\n13061 18211\n38779 46057\n10264 13484\n11624 53333\n47389 47596\n659 4758\n16008 21503\n47260 51143\n18212 47557\n42280 52382\n26824 38557\n35386 36569\n10296 35617\n1723 24560\n7656 52460\n161 24512\n5544 12959\n12831 46250\n679 27450\n21403 50689\n35336 40570\n41265 43940\n9493 30956\n28638 33684\n3874 40938\n18102 38273\n5919 32256\n34495 44356\n40699 43830\n21804 45390\n11313 42222\n10385 42208\n19488 45465\n12692 27357\n35497 42001\n31989 48783\n21465 50739\n23296 32193\n34150 46444\n49645 50633\n24583 34682\n10102 13077\n29291 51455\n9950 47704\n1394 6078\n22717 44459\n21020 28976\n10108 31261\n6302 40396\n28259 50661\n6090 32293\n45934 51580\n22235 26016\n12003 36630\n19358 40004\n43311 50519\n23414 36689\n3602 11293\n15995 16718\n41059 51170\n25838 40004\n43171 45556\n3379 33998\n27479 38930\n9290 18174\n1263 50443\n28864 43741\n32344 44652\n22417 34105\n9238 31119\n14834 39769\n11775 24484\n30488 39816\n23534 34015\n4468 42611\n17009 31184\n35571 49292\n33673 51128\n26386 37949\n12399 22249\n1835 30888\n17279 34227\n23776 47496\n10306 24709\n13165 22742\n19204 39937\n33979 52023\n22183 32205\n28680 45785\n27599 41823\n18799 40464\n8072 27311\n38267 42808\n746 4242\n25589 33690\n1638 23221\n8762 44175\n12008 13201\n10770 32197\n13089 13503\n4412 41220\n21787 27049\n20040 45890\n41539 50042\n46937 52849\n11353 12674\n13924 52674\n5731 15874\n8360 34737\n24904 34667\n18699 31340\n21168 22913\n21157 41704\n22472 46980\n32034 47716\n26784 39370\n2378 7510\n3511 30749\n17792 31182\n44684 50385\n14335 34764\n6477 27883\n33621 44031\n3828 32549\n32385 52569\n12256 34745\n12975 45256\n30324 42683\n30852 37590\n6852 27184\n12321 27607\n3537 48486\n2427 25358\n1390 41833\n41825 47908\n42840 46991\n29460 39304\n2263 45181\n4395 9085\n6886 28641\n30930 40368\n19823 27590\n21928 52885\n16013 37324\n12766 43318\n34644 37757\n23978 32867\n1402 18856\n37332 53672\n15386 41275\n6523 24562\n32188 40936\n4730 5459\n24002 34056\n14929 26464\n13363 15371\n38260 46300\n16868 28748\n14928 46215\n6796 20458\n11222 26809\n4697 17759\n31255 35273\n6557 10997\n3621 46255\n24827 49769\n20335 27573\n20404 53815\n26478 53494\n21919 36492\n19931 46898\n2776 14907\n13610 27887\n10784 17871\n30515 50277\n13646 41762\n35771 38001\n285 27719\n37143 49607\n27594 29304\n46217 46949\n14520 19974\n1572 25743\n47411 50017\n5942 12889\n32259 35545\n47737 53606\n12004 48802\n22420 42716\n44242 52715\n20601 30812\n2048 51244\n17770 28993\n36280 51980\n8732 31210\n6538 26717\n5082 43473\n40904 47488\n29386 30175\n31292 42533\n3619 38600\n29256 34988\n7223 30585\n26799 29371\n19998 30240\n26126 44870\n40349 52274\n36069 53254\n14717 21337\n13991 38587\n10532 48776\n38916 46628\n6086 41914\n3990 5606\n19054 23640\n22337 27670\n31105 32392\n28514 43466\n1087 37589\n17321 47288\n10560 22813\n29076 32877\n16816 46318\n19158 41481\n440 9057\n14516 25731\n23385 44754\n6318 35602\n49547 50492\n29077 47953\n14915 24313\n26265 34754\n22381 26740\n12889 39788\n4579 13565\n12558 41581\n32520 40232\n26132 43310\n19726 24355\n2993 25067\n8353 52100\n12778 14756\n12300 20756\n17805 24500\n2022 38478\n17735 32927\n35453 37121\n18275 29391\n3530 15391\n30418 32082\n752 33948\n10960 18513\n1569 33152\n15568 48683\n3913 41312\n21535 34252\n47676 49076\n2582 41722\n3908 5569\n6062 10624\n7756 9485\n35004 37425\n12493 40874\n3904 16694\n21178 30110\n37891 38966\n18124 32108\n1823 31847\n5730 8081\n34542 44725\n2620 44019\n22267 52282\n1772 25677\n10939 35745\n15364 51519\n17877 20058\n969 12354\n6587 26738\n11535 16575\n23532 33074\n23230 46444\n2389 26613\n19009 53522\n18584 38824\n45135 51973\n14528 44825\n29827 44968\n20611 53172\n22598 49997\n5154 9086\n36344 37560\n11386 15573\n47465 48946\n10612 48925\n41813 48277\n2664 47623\n33800 53550\n51161 52914\n31475 40461\n3365 24641\n28586 41414\n14265 28338\n36731 41200\n7181 41803\n18185 47494\n7500 34443\n18976 49914\n40454 53208\n4436 43556\n18722 24939\n21704 49094\n32633 41309\n26366 30458\n45931 52157\n42569 46725\n3367 5893\n2582 25869\n10822 32916\n27916 51609\n4201 11404\n17610 18972\n3293 40164\n14681 35408\n17467 18874\n30383 30551\n15393 25019\n30177 51839\n6916 9437\n16711 37073\n45296 48864\n6171 46601\n23990 24983\n22365 47091\n3735 38115\n36835 45039\n7755 9260\n1316 46762\n8067 38002\n29742 41808\n21753 35557\n21460 25315\n10207 45650\n33432 43004\n9082 11438\n6219 46029\n26690 35216\n10475 41294\n1468 28423\n15940 19254\n6354 20199\n7732 16522\n11246 27013\n9007 43528\n11414 38392\n31274 42260\n27457 45687\n13209 24150\n38864 50419\n3511 18481\n19721 46400\n12359 39934\n28157 40139\n10033 44274\n6146 12116\n18241 43525\n3627 22310\n33328 51078\n33862 35459\n3594 16744\n34335 51930\n29323 40267\n27041 36853\n22072 53069\n19106 20399\n20338 44412\n2750 26223\n12656 52492\n30413 52370\n49003 50014\n19511 21289\n31370 42379\n7206 15552\n5326 28790\n31908 33782\n16030 49101\n1245 25598\n6543 49142\n31945 43718\n25336 44644\n11560 13065\n12755 33930\n51223 53740\n2544 34508\n34383 49902\n13893 37188\n23905 45941\n10428 49139\n32709 42006\n28661 35235\n10566 43971\n5104 15932\n12474 39829\n46640 53093\n7840 11671\n14410 22054\n832 18861\n11996 31944\n24789 27566\n13661 53649\n19556 22905\n3085 33469\n15150 44985\n9002 40745\n24705 39938\n36611 45551\n5531 17712\n1435 42680\n28676 38845\n41401 53199\n3672 14242\n14413 17770\n16243 43991\n4626 35122\n24719 53829\n1151 48137\n19915 51671\n12973 21516\n47271 48841\n32591 50703\n1664 11799\n12903 30140\n29953 52453\n7058 39186\n37007 41827\n5607 14543\n8235 20860\n35439 35588\n14351 17138\n8208 40379\n715 19246\n46756 49936\n3887 33937\n6616 38236\n8707 51034\n32413 46027\n33082 41587\n9136 15241\n18135 49946\n6165 25140\n7460 26645\n7243 27438\n25326 52787\n14480 19849\n8947 34837\n28825 41904\n15958 38187\n19026 33969\n27884 41795\n13359 48452\n9305 26746\n21077 37132\n29972 33375\n20541 23356\n3524 29520\n25006 46459\n33412 53031\n14522 15987\n13954 25734\n33494 50424\n2141 45344\n616 50998\n48354 53110\n10964 36881\n23905 33547\n776 17658\n7371 40577\n34230 49664\n17059 43363\n19892 46489\n24080 53160\n18671 53890\n28258 30373\n12530 48734\n29734 42162\n23079 24593\n5599 52258\n13968 42140\n20427 31114\n44105 47580\n89 12191\n23640 30428\n15397 26282\n829 49672\n20835 21117\n11744 32886\n30739 33805\n10115 51441\n13774 49563\n34888 50422\n28576 29510\n23613 41784\n23050 40031\n27827 45855\n7919 51144\n31289 41597\n50241 53171\n25975 33102\n12057 32113\n25908 37250\n17133 41419\n39 48921\n6288 15938\n31655 34423\n27973 43725\n26004 48024\n19493 21774\n18960 50911\n9336 46458\n20140 29331\n1701 11048\n30425 50634\n19068 46778\n43362 43393\n6604 45875\n4293 49270\n13088 13592\n36750 49878\n21849 45837\n17403 26811\n17770 48393\n13126 51359\n17240 37637\n22712 53521\n36084 37791\n9274 44817\n19874 39935\n5156 21250\n5366 22385\n14942 44491\n7089 40770\n8507 28604\n14949 47848\n31587 52180\n22816 30207\n15331 42774\n17508 45363\n39849 48830\n10233 48945\n8184 20184\n13032 17650\n29086 49824\n30234 39965\n22770 41541\n14271 43910\n2900 14379\n5719 19690\n44138 44260\n7654 12201\n12394 22314\n43596 53145\n21182 49239\n14483 45619\n24025 51820\n19271 36018\n22687 44575\n619 32064\n22603 35174\n5658 52199\n19015 43255\n39232 49224\n10950 38977\n2436 47550\n5494 52135\n29764 41343\n15083 36644\n7978 31038\n22674 43276\n9143 30691\n6813 46567\n31625 46388\n9701 47970\n32612 48733\n30473 50013\n16838 20059\n28867 52182\n28476 53805\n18921 39916\n6700 45975\n13463 25385\n6785 7479\n45874 47665\n31729 52561\n29696 42832\n3950 35761\n8847 23694\n24695 27963\n21283 42527\n21295 21510\n42709 45234\n9242 44505\n44353 46855\n10360 49790\n9914 15266\n861 35814\n14282 37840\n22934 24786\n11126 53630\n22312 34694\n7791 50912\n32945 38527\n12345 28219\n29712 32864\n1109 35941\n9677 53392\n10999 43091\n19766 34197\n19313 41992\n12884 46639\n10278 38050\n1999 9130\n32943 35685\n11394 52921\n25735 42387\n38174 44207\n14789 38471\n11433 51364\n27281 47392\n23099 46682\n3261 44789\n23599 34911\n7265 47684\n12250 40879\n3824 10800\n12119 46611\n46017 47320\n175 27439\n32545 48852\n24943 50862\n46518 51063\n17328 24210\n46409 50545\n30119 36943\n22467 53747\n32255 39325\n4481 35316\n4460 10707\n20335 21682\n2169 24343\n15185 45874\n26621 34140\n20347 45566\n7822 14652\n27878 32008\n5007 12025\n22779 48276\n11623 47966\n12716 32644\n24333 34240\n18053 23780\n5026 38096\n30180 53005\n12609 31334\n19246 38816\n7223 13776\n5211 37195\n6962 17663\n8189 52395\n6623 42356\n1385 26218\n28934 51089\n13334 35726\n35483 37503\n23634 50451\n21507 30041\n16201 18713\n7842 26053\n36552 51644\n35658 46649\n9577 9927\n8792 46443\n32808 37446\n38895 52649\n18137 48954\n40280 49091\n12093 30390\n3447 28017\n20600 31551\n39703 50621\n539 14104\n28280 45801\n22831 42205\n39931 53717\n8900 49085\n13529 14584\n8560 11839\n44779 48457\n4854 38909\n2557 17132\n14365 15964\n17003 52796\n15927 25563\n6245 42047\n846 50918\n2861 40310\n2394 24422\n17241 36333\n2128 47818\n4725 26891\n32636 35578\n23570 30140\n415 31977\n154 8653\n16959 27227\n12782 38314\n38937 53587\n1880 25471\n563 17238\n13762 29231\n19547 40645\n31626 49479\n556 22810\n2365 7323\n26517 50847\n20024 43575\n31714 46633\n31022 31999\n6960 52495\n22159 27246\n12547 16033\n4305 13665\n31637 52860\n21789 24683\n37227 52140\n23027 43813\n20698 30395\n24501 32203\n8455 20433\n34895 38832\n1683 41367\n5622 46182\n20784 39399\n14575 53343\n26841 40406\n8567 40074\n4175 45987\n13060 42190\n34638 35144\n42709 47077\n16193 27216\n12095 12971\n10327 43339\n11520 33548\n11499 47956\n19107 42779\n8957 23780\n22825 46366\n3852 26803\n12398 27604\n14587 43452\n38405 39776\n8763 37873\n1003 19171\n11165 46846\n137 17546\n48638 49564\n34914 46264\n11203 18721\n50982 52872\n20094 29110\n29636 50480\n7565 29213\n48320 52829\n17102 44151\n16015 45041\n5316 24512\n14845 51065\n41165 44434\n6941 9566\n798 18690\n3875 9397\n12575 21309\n3576 49970\n10019 28583\n27314 42670\n20693 52221\n6576 41548\n23389 42055\n693 49031\n35157 42358\n12651 35629\n33376 53390\n25303 27682\n10819 32399\n18385 27980\n6998 7188\n28100 48929\n21245 33126\n2196 52390\n1339 41015\n2435 11807\n23483 46460\n26230 50574\n38642 40926\n33076 34146\n25651 32890\n18575 35095\n24090 30315\n7857 35879\n14436 33554\n20952 44561\n48194 50678\n2533 53296\n3788 10889\n22620 38574\n18133 47228\n50735 52964\n7786 8632\n35580 44840\n4853 48068\n441 1154\n40649 50830\n8763 50097\n26644 50322\n31864 37074\n25656 25883\n36913 41739\n7647 28914\n9880 34115\n7087 16181\n67 6323\n19104 20566\n19957 39134\n22945 35124\n361 30897\n29553 29773\n4623 36045\n23182 29450\n35527 50057\n23928 50779\n4522 43445\n14630 20921\n62 4444\n11033 23306\n34819 49679\n31667 53730\n29850 51061\n30905 46368\n4625 42073\n27126 38825\n48024 51160\n11380 25085\n29045 51573\n1777 11709\n6441 20169\n53 34745\n50225 52822\n12338 18747\n4760 26482\n14535 24362\n6207 52892\n16788 22821\n15140 45234\n38294 40509\n1538 30820\n3863 26191\n2620 28205\n4162 31348\n3540 40816\n8495 29120\n7011 33989\n3984 31539\n29406 41063\n12278 37013\n25170 42282\n1561 32310\n1470 22125\n28019 53397\n7957 24230\n48132 49062\n27257 39760\n13179 42718\n38203 40265\n5782 39640\n6802 50123\n11585 36156\n16608 20753\n29596 37980\n18183 36521\n9662 26313\n42237 50710\n34217 52547\n23978 50987\n43972 47761\n3358 12260\n11019 24582\n3036 3234\n12404 40236\n25625 51551\n2114 42777\n27789 31093\n957 20051\n7957 18301\n801 49253\n47441 48831\n35551 37080\n27147 47069\n23430 50906\n982 34334\n19573 46849\n20082 31096\n1972 5477\n17542 35448\n3061 3402\n1142 10130\n4004 20711\n4964 23595\n7534 22631\n37391 37806\n22695 31810\n33244 39305\n16761 16808\n30538 44456\n14382 32038\n42295 46693\n27967 35787\n18585 36100\n7855 32351\n33012 52543\n7440 27991\n3755 23733\n1845 41546\n20765 31784\n8074 14662\n21744 42965\n29542 52799\n17172 39123\n7742 37215\n24431 25142\n35944 46506\n37965 40947\n38485 43529\n38036 42745\n13556 31434\n21758 33119\n781 26804\n17319 52202\n6897 34421\n25889 40562\n17175 41577\n149 50793\n21420 51959\n30209 41386\n2372 24645\n11607 28758\n4891 10775\n25940 31216\n31421 41839\n13999 43876\n12370 29323\n14809 48084\n193 40630\n22525 51224\n22454 38237\n22170 43160\n36372 46033\n47256 50252\n30143 46734\n26805 41335\n9261 10787\n10994 50380\n25934 43486\n7554 17850\n342 31854\n6656 19809\n42054 47016\n3162 26375\n6786 47611\n2466 47759\n15237 43463\n40086 40822\n31231 40673\n30192 50096\n10828 10835\n7636 36259\n9678 45156\n38536 45642\n10549 49054\n16301 17241\n7433 33242\n34222 35511\n6731 32512\n17664 52309\n5766 38033\n2908 36499\n32898 41030\n26026 28271\n20713 40883\n2144 7984\n7265 39655\n13504 23335\n19574 41958\n8303 36701\n4934 50597\n9207 43203\n8212 47915\n4551 51503\n4005 28909\n21699 43339\n347 12155\n37035 46966\n28094 39130\n37804 48364\n35595 45900\n16864 22711\n36988 51249\n3859 44250\n15214 50696\n8477 47505\n1250 14791\n11546 42131\n12480 30836\n51439 51957\n5159 14915\n4196 22086\n45517 53823\n9365 38887\n5728 7696\n29811 37268\n22183 43948\n47185 53856\n4056 48762\n21847 51734\n14160 51622\n11936 24411\n924 7794\n845 6647\n20708 28270\n12069 39517\n8610 42460\n11168 20967\n7671 44435\n37718 51075\n43135 44159\n29018 45719\n8345 33008\n25117 35216\n14363 25172\n5101 19361\n5500 41748\n8550 37260\n17838 32414\n23177 23341\n26479 46629\n14455 52130\n4855 17804\n32658 42083\n7346 37942\n15411 31248\n2787 12067\n13755 34797\n27810 51768\n36605 47471\n3723 35905\n16522 27843\n8717 39740\n4079 21219\n692 6828\n18795 50312\n7424 27765\n41228 45007\n13369 43756\n2959 26229\n43623 52100\n19466 33300\n36312 50681\n50054 53471\n34356 48923\n44500 50896\n28261 50802\n3722 16533\n23149 36750\n29044 37517\n21146 51596\n19230 27681\n1160 31885\n21545 49146\n14916 38903\n6836 14870\n22680 37134\n50572 53477\n43094 47480\n9407 47169\n44217 51782\n4863 15520\n14861 15938\n26725 29209\n43334 48979\n8159 46276\n16214 35423\n16111 25456\n26950 51491\n6976 11410\n39746 46234\n26692 41096\n16139 29615\n2076 35382\n13460 29520\n25065 47644\n34548 53466\n8706 18887\n27691 50520\n18373 40415\n22796 39762\n2045 29495\n14294 47355\n9920 45574\n32298 53405\n29852 50309\n8323 14576\n6874 17504\n41427 47940\n34866 48775\n18179 33836\n26656 39948\n26530 32065\n2404 11242\n760 45185\n27387 27863\n21338 47510\n1169 51957\n27739 32005\n22963 39296\n3295 24614\n26540 38573\n2956 20892\n18633 33964\n30702 46516\n4768 29195\n7195 9050\n5082 25459\n24341 37619\n37048 53681\n2296 9837\n7441 25808\n654 12382\n27884 37502\n18151 20547\n15645 16013\n25840 40168\n31136 34147\n16845 42046\n36090 39755\n31036 53710\n5995 20476\n8247 22043\n40124 46418\n45751 45832\n7414 25003\n7057 16851\n33554 44475\n15399 36397\n150 1048\n6374 18704\n4218 38000\n25101 52603\n12484 23689\n29151 53184\n16317 18997\n9572 42448\n6428 41816\n7932 14017\n21791 32134\n22481 36035\n40810 41734\n37700 51133\n14005 41098\n35882 37039\n20917 47587\n8928 39230\n6035 26676\n44814 46764\n25509 41390\n32327 52096\n40744 51973\n19268 19863\n46953 51124\n9584 32024\n2478 48000\n17363 44405\n8367 12600\n9043 29683\n12847 31900\n8729 21887\n12992 16957\n14040 40062\n41730 42459\n10961 50308\n22122 40594\n19361 25604\n35401 42148\n17275 37444\n12466 49520\n4552 32786\n20975 37378\n3178 15795\n801 13068\n18357 46980\n22181 26383\n30865 46747\n27671 31386\n12147 34311\n2504 40366\n23827 53595\n35579 36679\n6332 46933\n8367 25873\n8964 25828\n46000 48476\n38232 49974\n46956 49909\n1509 4887\n37677 42568\n8946 34110\n8450 32632\n9026 41194\n23332 27035\n18300 47210\n32407 38984\n16918 30776\n6136 39521\n38449 41636\n7941 36684\n5 47266\n36568 47848\n30894 48416\n10444 40108\n748 31808\n44748 47861\n43645 45497\n3557 21368\n27528 33405\n16656 47434\n633 19965\n24124 44992\n32584 35649\n20685 44628\n5249 8845\n17314 21552\n14132 48398\n44671 50286\n13655 25984\n3649 49533\n9560 42023\n8130 40170\n17304 34563\n9284 29268\n19451 38708\n20013 33033\n24561 53900\n224 45912\n26444 32659\n46817 52823\n5350 48222\n24330 50253\n9613 21950\n25067 26780\n44181 52762\n39696 46165\n19276 23794\n24420 38325\n32142 49088\n21696 44884\n16280 18101\n13414 19684\n10316 41091\n3878 21541\n16430 17735\n9559 17031\n5480 47272\n33186 36464\n11669 25551\n39518 47964\n2346 8791\n22198 39793\n43113 48718\n8231 30158\n28414 30842\n25340 27199\n18718 31912\n18669 26075\n6022 15359\n9677 24961\n16900 25463\n3311 20389\n32173 43749\n15029 22917\n25548 43388\n48355 50394\n1343 35193\n3010 33231\n26260 34894\n33573 41361\n4135 25281\n11582 46337\n19298 36363\n34954 35660\n5046 17892\n21223 41721\n43467 49227\n31379 37014\n12947 15194\n27408 47658\n30041 33901\n39941 44390\n11599 20822\n13577 23244\n41925 51274\n36908 37298\n28590 53776\n37152 46093\n4795 24493\n42202 48730\n23051 46204\n5582 38296\n512 48752\n2765 7863\n11661 42851\n24509 37926\n1315 51564\n30522 41389\n3634 10529\n2346 16249\n13403 27678\n1189 13466\n21081 26815\n13794 35869\n1449 6235\n16055 50862\n31263 51454\n3341 24994\n28187 30086\n38201 39882\n24150 39684\n19204 53466\n8269 39549\n11908 43445\n4948 14106\n21191 49623\n19454 39810\n25227 41858\n20192 33634\n18509 25897\n23164 49113\n40778 47629\n9531 35800\n7625 32940\n41769 50138\n3703 40466\n13763 23856\n7863 39140\n24614 42080\n7986 22581\n18266 25157\n18187 36840\n43262 48050\n30157 53356\n5709 30195\n43966 44072\n9805 52924\n26099 35398\n30377 31399\n4493 26547\n17475 43570\n10687 21540\n8668 51597\n8243 50470\n29530 52463\n6077 31574\n17973 45419\n32734 40662\n14045 22241\n20527 47182\n41755 49115\n35743 52512\n23521 38497\n4081 24167\n24763 47791\n3168 15839\n10097 30772\n24089 48279\n4164 6915\n8400 14644\n10770 47871\n25987 50532\n25642 36323\n3726 18803\n24451 34612\n4248 24931\n24064 48855\n15550 23574\n12463 25216\n42258 48468\n32103 52155\n8448 18184\n41804 46902\n35889 35968\n16456 48122\n35362 35545\n7580 40381\n121 37164\n4147 14395\n3584 29315\n10513 27278\n3782 10765\n51372 52732\n12554 38985\n3498 22102\n19110 27733\n8751 42865\n32042 40748\n40149 45935\n16942 30753\n360 38646\n45447 49315\n9965 28975\n8460 35945\n16703 18485\n37714 45660\n9466 22433\n563 32186\n30727 32066\n6800 37671\n5195 41681\n49218 50262\n12369 26609\n38149 46915\n25393 46843\n36080 43296\n8129 10570\n14321 52008\n10188 25732\n21707 52747\n38262 48687\n1134 44664\n22293 39178\n7485 25476\n2980 18228\n1175 42734\n7803 15435\n46385 46722\n25100 36731\n9452 51530\n26544 37803\n30422 42908\n17129 46178\n23001 29880\n6026 11785\n4975 6987\n19827 41087\n16039 42799\n22596 26325\n41840 47768\n15373 45874\n6286 28857\n573 21877\n7665 28889\n6015 35293\n27705 39663\n6700 36433\n16737 29532\n22509 28607\n5190 5907\n10010 17658\n15363 31190\n5179 13523\n39576 47209\n14276 15288\n18352 40876\n3673 53588\n25042 25812\n30356 39344\n3437 7802\n9235 13677\n1204 8177\n26444 52276\n2545 23003\n4833 34904\n4125 5115\n18663 44669\n24465 52836\n14313 32381\n7545 35027\n13613 45517\n7552 50073\n22556 26350\n12505 20992\n105 39425\n33441 50196\n2017 38778\n13208 40757\n24576 32938\n15554 47747\n4877 19178\n1872 35753\n27044 51386\n48002 50553\n20805 28906\n28070 48457\n11376 13928\n41373 49438\n29923 35796\n33442 49667\n32413 40604\n7307 10248\n32994 42603\n9429 39957\n11831 53378\n3441 40525\n21735 53041\n41023 52961\n10566 24798\n9204 30710\n17281 23390\n23412 48125\n43919 47918\n6207 17619\n22401 27996\n20991 33520\n27125 49792\n10067 35803\n19786 29903\n2796 25396\n33472 35417\n4599 41911\n26277 49255\n29563 49166\n47575 49647\n8353 16320\n19990 35208\n9777 44393\n29197 43817\n17988 38648\n489 12656\n31105 53445\n21886 34015\n33994 49010\n42109 49337\n32227 42883\n164 17024\n15699 53829\n20424 28399\n34671 47707\n16511 44673\n12541 42921\n43936 51909\n23526 35657\n7594 13109\n3495 48779\n14580 47076\n7249 31727\n12251 24417\n28470 33400\n27994 36091\n23878 34780\n45482 45594\n9416 15705\n10101 11420\n8175 38126\n2903 29524\n4066 49717\n13991 27003\n4245 53070\n16635 45742\n16067 41875\n11635 39251\n34618 51621\n18502 24241\n21538 26344\n5708 25438\n25146 26851\n14288 40605\n2835 16768\n25859 49011\n24424 40811\n2396 51093\n5213 20017\n6030 7475\n26691 52158\n3796 52349\n29733 50527\n10784 18069\n38719 49386\n9585 48476\n4024 49346\n34152 52085\n10435 18079\n5130 35174\n9005 46546\n28490 46104\n30373 51692\n19072 50380\n6033 44595\n1474 19529\n4903 41792\n3637 47160\n22364 37633\n13865 46257\n23732 40735\n18248 41554\n38415 52969\n21970 34342\n4832 13807\n19509 25444\n18782 33989\n15017 51963\n40656 45424\n1423 40600\n6283 11357\n47421 49598\n17608 44524\n22961 30371\n16403 51008\n5603 23415\n25560 40733\n17378 35710\n42135 43683\n2139 42319\n109 21739\n6810 36778\n9423 38586\n10775 14188\n7416 45252\n16920 23417\n8785 30619\n33325 46823\n3220 16347\n10180 37852\n455 53004\n18762 37343\n29719 34071\n1089 12856\n19421 39102\n11741 48706\n20387 52412\n15139 25109\n8596 45976\n12331 19691\n17632 22247\n9175 19057\n2405 35452\n24632 25133\n6644 38098\n2253 53616\n16936 38787\n15032 43064\n25803 29354\n6202 26098\n554 32714\n18965 39091\n568 28538\n19826 50953\n16509 27283\n1742 37246\n41590 44746\n9699 23395\n22116 23508\n26800 31714\n4475 14840\n3911 43378\n7202 39652\n5393 10497\n13479 38349\n24630 39081\n31662 50374\n29094 29479\n31758 40517\n21997 38450\n38770 44353\n4058 19975\n11018 26765\n545 20168\n22466 50215\n24372 35014\n15262 40688\n24413 39510\n30932 36219\n18357 28554\n12796 24022\n7367 39104\n9209 23789\n52368 53013\n14701 21250\n35394 52209\n9763 20317\n8327 14842\n24 36645\n39326 53149\n15165 20983\n39520 48545\n44895 53163\n22963 27839\n6916 44883\n13129 15142\n29918 49364\n25465 32948\n18747 51339\n9681 21671\n13334 52990\n42057 43017\n29532 42661\n3688 25230\n14636 18796\n7884 42482\n10601 23688\n8456 52793\n29350 38935\n37178 53139\n33589 47739\n21886 49598\n20723 42928\n8938 35394\n21347 35141\n15797 27106\n1576 43010\n9899 21958\n32496 43177\n1398 12585\n7806 26876\n31310 40419\n17154 46342\n13803 29624\n23060 31538\n50083 51924\n19450 23867\n5786 34524\n3633 17727\n3050 52623\n28929 42804\n38036 52685\n8438 18518\n18273 39845\n12466 38177\n47001 49596\n11184 15578\n11660 27814\n4918 48107\n16346 23426\n1344 33444\n19310 46495\n2484 32288\n25486 41108\n22820 49792\n23711 39606\n7520 22040\n32649 44605\n21527 35195\n11917 34751\n23022 44322\n19178 41739\n6418 27545\n25054 29775\n4887 7581\n3387 19839\n4674 11244\n16778 27268\n18421 48483\n26559 32887\n15944 27675\n33975 50763\n27711 37583\n10947 30686\n12531 28754\n36038 46370\n31139 34452\n16515 53330\n22688 37603\n3662 43175\n6903 27807\n25268 43380\n10267 35957\n18503 49717\n14050 46902\n16105 45558\n13385 35363\n18347 29588\n13043 45400\n21271 22180\n3955 37933\n8955 48567\n21353 31530\n31529 38962\n26793 52606\n41708 53842\n9130 36307\n13210 31772\n28256 49049\n37596 52728\n28733 40797\n3542 23917\n25081 39984\n5035 36155\n3019 12329\n36384 47848\n802 40450\n8112 21532\n21917 52937\n32480 44717\n18173 26142\n20519 36315\n3283 42526\n7777 39076\n49755 50591\n5057 16038\n8719 39383\n15554 51325\n23355 30493\n21332 52697\n6570 10107\n6592 20485\n16190 36115\n2902 47427\n212 31686\n15708 35795\n39615 52787\n28832 44960\n11631 31543\n34784 43032\n6128 27136\n5221 32865\n19497 42703\n20742 28279\n26277 50314\n22223 23496\n9853 18879\n29360 37010\n24759 53423\n22081 53095\n20125 28137\n29094 50381\n1519 28165\n1318 12154\n14529 40164\n22863 46100\n38659 45656\n12272 42477\n9594 13075\n6228 27562\n3442 43622\n13891 31913\n2613 43932\n3208 19325\n2211 36370\n29771 34449\n9576 33888\n16638 50327\n49138 49719\n25317 39497\n18029 50832\n8983 26367\n11175 23640\n1004 8710\n6841 14374\n22542 37874\n14022 42216\n214 35414\n45774 46185\n21121 49881\n1696 28781\n35827 50622\n7202 34052\n10658 28622\n18156 31658\n37613 41811\n33262 40773\n21097 44856\n28109 34780\n10559 41179\n46373 51144\n24456 41581\n35 12965\n5969 32525\n2525 37535\n32838 45215\n32818 53336\n19691 41939\n39081 41869\n1178 36464\n29710 45542\n3605 8765\n17755 22959\n7395 37563\n3792 44159\n1963 13134\n1156 14983\n2397 9871\n7327 8077\n22932 43882\n8210 26654\n39363 52200\n36138 46171\n18280 51631\n16265 17078\n19301 31114\n8440 48633\n37514 53756\n2333 41287\n7455 27523\n12026 31784\n5538 19965\n715 34475\n5603 51284\n25530 31943\n35752 45561\n11035 22745\n24179 24542\n15392 42528\n15736 17570\n17794 51468\n20127 37900\n3548 29566\n8156 20782\n11751 28072\n8286 40103\n6145 8488\n17085 38787\n2514 21278\n20735 41113\n7499 53000\n544 14360\n3362 21788\n12207 34178\n36583 51729\n28844 46465\n19544 33552\n49487 53122\n14275 49778\n4651 45607\n22946 36148\n42118 49608\n31716 34125\n11487 46325\n1727 47520\n45637 47304\n13872 15679\n21903 22073\n29433 43946\n29933 37504\n5490 35068\n25468 34708\n4559 4821\n27859 38655\n3590 4595\n28609 41532\n28676 49869\n18649 39608\n7910 14388\n38587 48501\n15411 35238\n16531 26613\n2146 32608\n18863 34350\n12943 43883\n18547 25176\n38849 51637\n3589 33243\n20963 31437\n39260 40798\n1891 52523\n41681 42950\n23684 37941\n35896 51182\n11233 38192\n12760 13689\n1770 10158\n23526 40215\n3703 17440\n26501 35738\n28327 35284\n5618 24045\n11892 33672\n32528 50916\n6115 33952\n11939 22685\n7713 24326\n2012 24142\n10104 49922\n36573 43440\n27864 42410\n12299 43107\n10428 41011\n12445 16109\n34737 52213\n23096 42903\n6839 47816\n15168 43011\n8971 37871\n6146 36144\n7520 19343\n2913 24932\n7141 8228\n4970 35997\n6520 41633\n20808 28433\n23361 27098\n23188 38924\n19170 21817\n3225 18502\n31082 39387\n882 36838\n37599 46042\n31963 53728\n2490 45243\n34397 41083\n7693 13139\n5960 7515\n5814 10120\n41034 51766\n10240 33046\n1833 34051\n22981 35286\n33954 42402\n24250 33705\n1845 31915\n28543 47160\n6053 47344\n17463 50106\n14743 17145\n26445 40615\n3511 20337\n4001 4615\n3651 46385\n33267 43796\n6126 38318\n1623 49074\n11607 35053\n7523 46279\n20108 28092\n12017 24844\n19801 36708\n20946 46203\n3005 41420\n18734 36765\n123 16710\n41676 43101\n14432 45584\n25146 26636\n21790 30040\n30781 43921\n24321 42906\n51376 52612\n18313 44240\n11981 42854\n2145 50618\n28505 29854\n20112 44257\n10054 29316\n8310 46259\n22124 33014\n40607 42967\n17217 18680\n9518 11319\n89 38510\n40354 45520\n13666 38113\n5125 11936\n20379 33924\n18469 47820\n9587 21861\n9556 31862\n4062 50174\n2198 9861\n25121 53880\n27552 50276\n20726 25159\n6415 49226\n9160 9881\n13813 43058\n307 28842\n42249 42862\n7312 14709\n40312 44571\n27028 42565\n548 2823\n17246 23933\n24970 43035\n7326 38364\n703 3893\n44892 49207\n10089 23652\n2400 36661\n3631 36730\n14730 44485\n29257 45287\n14675 48323\n13903 19160\n13224 17900\n14288 19182\n23777 45931\n3334 36359\n34522 37623\n1485 48001\n11282 23523\n22520 27655\n31972 37112\n31017 43710\n20964 39973\n48443 49635\n14455 22656\n14961 45045\n13486 40449\n31493 50580\n23811 51403\n28660 32407\n6924 8074\n9793 43816\n10987 47880\n17115 26393\n27791 31526\n4059 29896\n8069 30047\n23104 43071\n13590 14609\n1964 47576\n35776 44916\n5875 43220\n40895 48838\n7772 29527\n9087 29067\n38529 40154\n4414 6748\n962 13201\n22712 32073\n24977 26449\n17012 23913\n19322 48528\n24990 27287\n11962 40175\n34577 46165\n33181 52892\n7022 52217\n45443 50663\n1377 49640\n4294 11556\n9918 46613\n19730 28963\n31456 34309\n4077 16910\n32810 50174\n8274 25092\n20061 36273\n8576 29775\n4944 22921\n12010 12959\n10880 35771\n8970 20048\n21327 53779\n3422 39516\n6676 11860\n19462 28007\n34296 52781\n26761 48006\n9132 48828\n3419 12312\n37813 53039\n14901 46156\n29672 31502\n434 38965\n46224 52779\n44445 49868\n12338 19876\n12193 15770\n10810 26232\n11178 47132\n15551 23389\n40350 43223\n25575 31503\n13180 21671\n40171 49022\n31938 37546\n2698 51961\n32017 36379\n17436 27975\n3536 48319\n8214 22908\n30226 51583\n21408 35505\n27508 43540\n3191 11301\n33766 42538\n45922 47333\n96 39075\n4868 13186\n4059 10808\n14207 14973\n17040 43787\n19945 26567\n22204 35465\n30138 31727\n13181 16246\n107 10383\n9751 48873\n14992 29734\n47721 52501\n34163 48824\n10239 45459\n20444 32641\n6707 53793\n22762 38114\n16161 40660\n4076 24288\n29013 29979\n18189 21964\n34896 42542\n39293 50131\n1719 1780\n10097 28248\n20883 45707\n27495 43229\n34821 52918\n20312 53413\n25278 46884\n31118 40211\n4638 24626\n10510 46630\n4849 30331\n13063 30598\n18289 31538\n8550 31340\n22834 31715\n4802 36232\n16425 36378\n14733 27220\n24934 45536\n2599 38684\n18212 25147\n24157 53169\n23985 41805\n22598 42405\n28605 50640\n21199 29081\n3675 30783\n22677 22800\n11477 28627\n29466 46178\n22722 37099\n14340 20011\n13551 28207\n25712 49313\n20017 39695\n39576 50012\n1924 41218\n10063 16195\n14472 31749\n5554 49966\n13595 25494\n19748 27487\n14590 36946\n6322 13753\n35558 36889\n1694 25941\n15483 19468\n13326 15411\n16783 26636\n32028 44834\n8677 34647\n39735 52481\n17798 32592\n5519 27204\n8612 39704\n8588 13401\n24007 48904\n20408 32698\n4722 6076\n8207 25851\n13417 36480\n556 44059\n3603 19526\n5375 35133\n28741 40247\n7976 46474\n11433 21038\n1141 4072\n26944 42105\n10862 40868\n25012 35685\n25294 45858\n8490 15205\n13012 51829\n15950 25704\n15052 51097\n31187 50167\n10438 33338\n11374 50566\n15711 23703\n10389 39675\n30528 37119\n16720 28669\n28280 39315\n24935 28553\n11884 27875\n4832 38815\n18584 25750\n2649 34981\n35546 48122\n20268 46897\n1618 16083\n6656 7513\n13035 53782\n14544 31864\n13379 40483\n29894 49220\n42891 52760\n20477 49898\n25478 49595\n42553 51077\n9178 45557\n29090 31297\n533 19429\n39792 39881\n8030 38997\n25447 47834\n6883 43922\n6997 24827\n18425 20204\n23020 28159\n3601 45912\n15644 28089\n11205 46328\n4362 13761\n697 19948\n45878 50033\n30878 48310\n9263 22529\n15708 19320\n1521 13724\n28442 51238\n9593 25357\n6031 48156\n26185 32588\n23835 25827\n27139 51922\n25855 53369\n42076 48583\n2773 8888\n28978 30818\n33584 47827\n31266 47560\n28108 32413\n3289 25812\n2710 49727\n9676 43588\n24690 30106\n15662 53491\n17928 41236\n13208 29078\n619 32130\n50562 50733\n6550 14251\n1197 4336\n30800 38722\n4134 18072\n8440 36858\n12014 35573\n14263 28466\n19844 52679\n15464 52951\n19593 51626\n19751 34290\n18984 30517\n14799 26246\n6955 14453\n12432 25274\n19685 22590\n23397 43039\n28933 49436\n31461 51933\n12100 25596\n1341 42122\n18328 32455\n2962 15021\n29719 44611\n975 6105\n19712 47449\n14033 39518\n8524 51223\n17255 19661\n9010 51503\n18615 53820\n4173 13176\n44214 46352\n15772 17253\n12723 29256\n26797 41732\n20850 51516\n5260 6365\n8921 30692\n12889 50296\n28504 51802\n14887 48297\n21791 43868\n8022 17858\n31325 53428\n4000 12641\n3347 6198\n3854 10688\n11139 53665\n2611 43951\n10662 19213\n4256 15596\n2475 20734\n4616 44256\n18593 24460\n8110 24660\n35740 49135\n9735 25091\n49259 52597\n4296 9758\n9457 49251\n17983 25524\n28042 36279\n3584 18632\n18875 31906\n8579 34543\n23520 43288\n13438 14468\n18940 25993\n34000 41531\n28328 31094\n34810 47455\n2809 30457\n12694 20876\n176 7556\n9205 19869\n4749 40380\n12845 35500\n14028 29543\n24848 37469\n11752 27198\n15102 25044\n53320 53872\n17739 43068\n10751 42102\n1498 24671\n8083 17623\n7045 32448\n17155 17641\n10582 34299\n33832 47983\n26707 45142\n41531 48260\n11424 31778\n30207 34442\n2009 25242\n1075 41198\n28705 46509\n8736 33675\n15535 52830\n24451 52742\n15024 50402\n11140 30440\n13199 16756\n1914 3619\n3818 30540\n2422 6692\n3265 45750\n9854 44998\n6422 45168\n28086 42644\n12544 36423\n6981 11931\n7281 9133\n15348 23231\n24764 41536\n21769 43788\n31798 49067\n29052 38550\n14961 31780\n6932 11266\n8082 31303\n36946 40513\n16337 38529\n22229 39940\n22412 45321\n29133 51972\n10610 20897\n40787 44955\n11396 40348\n3117 50585\n1087 4283\n12665 29192\n6186 21585\n15615 51450\n2965 13606\n17741 50215\n41418 51733\n13734 46136\n15130 47756\n38326 43397\n18809 19234\n14323 48079\n13683 28100\n4007 34450\n16700 18707\n1171 47815\n5385 25996\n2435 7238\n21539 32790\n2903 42883\n4517 13869\n23698 37292\n23707 28446\n26114 40779\n30059 47068\n17636 43660\n1574 18417\n17414 32462\n45499 53748\n21373 30699\n1854 17677\n4541 12024\n1287 13609\n6438 44830\n336 15688\n1994 9823\n1701 39385\n5572 52344\n23756 25954\n44608 48913\n19792 37260\n14827 42577\n1801 50059\n6732 44357\n5767 35371\n5312 28388\n32708 42297\n23499 24032\n28018 33076\n5707 25238\n18134 33722\n263 2392\n3939 14159\n24609 34192\n11137 24837\n31989 41822\n18476 41393\n27492 37458\n23638 52452\n31553 38091\n7571 25639\n2868 47497\n5826 17707\n30199 50407\n315 19217\n10397 43517\n17528 29477\n14753 46326\n8809 44362\n41901 48884\n35422 50165\n30982 43502\n30623 51847\n11907 48406\n33191 36949\n7552 15526\n8076 49945\n42783 43498\n7951 34142\n682 15005\n2026 9243\n1665 29198\n48000 52392\n11748 21956\n15808 39924\n22359 49058\n27097 33015\n2858 47542\n2708 53212\n50118 50366\n27445 44992\n31807 49428\n8113 21081\n31582 35316\n6284 26856\n9892 25051\n10870 22173\n27157 37734\n31366 33979\n14087 23370\n631 7906\n26046 34256\n25339 40292\n19278 33268\n11883 34099\n13384 24300\n6636 44390\n4214 4252\n32871 42301\n1715 8273\n17889 28682\n4521 12262\n6817 26557\n30154 51813\n20531 46389\n37761 47540\n46541 47223\n14 49975\n35522 48649\n8151 33274\n443 21323\n37411 44340\n18993 31542\n47218 51314\n22146 23750\n4091 21709\n25233 43879\n15007 30623\n41463 51460\n25726 32869\n49035 53510\n38154 46867\n17111 53356\n14225 17477\n34048 43873\n37732 39674\n14939 26538\n6238 26551\n32324 51736\n16258 23706\n15527 27586\n25532 48360\n35605 39821\n22740 36667\n43783 48685\n16248 18501\n14630 53189\n362 52731\n17470 24899\n5158 40107\n20348 28456\n11654 31297\n33539 45087\n10724 36219\n13904 19509\n1859 10364\n24907 39206\n44111 50391\n28615 41928\n39687 46611\n3397 14758\n9137 49359\n10077 11461\n1281 1722\n43263 52792\n2305 36675\n15656 43453\n16084 41994\n4069 49851\n6449 22834\n26018 26655\n3550 14102\n1825 23583\n21214 50095\n355 10697\n2691 48821\n48910 50739\n34050 35877\n37749 53691\n26175 53035\n20884 35311\n37552 44362\n32038 53808\n29810 42832\n40284 50764\n12207 32921\n22614 28367\n19790 52981\n19192 45734\n12708 28405\n16816 50817\n21037 43799\n11134 35650\n1550 33966\n1190 15879\n41724 52864\n4817 46104\n16971 28222\n3135 42786\n21318 49844\n31742 34205\n21390 34320\n20285 49222\n27540 31491\n14552 35862\n8403 22255\n5762 32253\n17260 52071\n35734 50010\n10683 20712\n32150 37546\n36066 49445\n12845 49475\n33790 42265\n25229 28929\n3632 29619\n500 4548\n4587 39348\n1971 35612\n24823 48126\n1034 51589\n10308 27090\n24258 40368\n16567 51184\n575 29165\n10613 23725\n6987 22993\n34733 45391\n13064 47805\n6234 45281\n2478 31812\n3386 4775\n12530 15902\n4339 48669\n19893 22685\n11832 52463\n35440 36644\n19739 40946\n16842 21018\n27745 32903\n38042 43315\n23469 53666\n21607 36021\n31878 49666\n7019 40349\n25696 51299\n15131 44760\n11813 37059\n10611 28843\n22260 38481\n12578 46178\n10995 19554\n6888 15240\n13608 24524\n14948 52904\n25361 46582\n7037 27742\n2707 3240\n24734 47752\n15179 33779\n2346 50197\n18819 46230\n31114 32011\n7119 20257\n23624 28726\n40830 51651\n37926 52512\n2552 8500\n19129 47408\n26283 44518\n2092 8070\n35872 53781\n14826 31623\n33119 53370\n10474 37521\n14797 27775\n10249 51289\n9276 44248\n17772 26420\n19152 51984\n40191 51287\n35346 51728\n171 47668\n2169 35299\n4467 35390\n4158 33996\n34754 43226\n31400 38954\n30316 44830\n9118 23084\n19022 33802\n9974 13907\n47692 50098\n12718 44962\n5679 29868\n11685 26993\n9974 41037\n5207 45160\n26426 47830\n15798 36821\n10533 15027\n22507 32498\n4273 6371\n19443 25820\n12833 50967\n3939 53515\n31 8530\n24472 34430\n39354 50817\n17913 32715\n14613 23847\n14603 29114\n37381 38883\n15640 34991\n8244 36520\n17677 32567\n10168 11615\n5254 10073\n28007 37980\n33800 35337\n39393 45388\n8340 18108\n14334 38387\n7611 11880\n26690 42735\n26143 39926\n23081 23726\n5997 42063\n5793 9615\n11526 44412\n40751 47625\n13859 48834\n2633 22208\n27987 47042\n12611 26335\n6130 7699\n33967 48879\n8837 17569\n1324 12425\n18568 23140\n22103 25515\n1726 16002\n14923 34192\n9033 17170\n33480 44949\n29303 49073\n31197 39149\n11633 36379\n27945 29141\n15984 30682\n21090 32045\n1311 5772\n3606 26938\n8727 14805\n10444 19981\n3461 22577\n16401 32427\n38711 46373\n6423 24292\n3774 38120\n21843 35422\n30521 30746\n14602 38738\n9872 14831\n31137 52344\n30221 32846\n11751 49609\n2822 4464\n5341 26558\n20299 40792\n30815 51150\n28259 38597\n3036 45544\n23969 29614\n42947 51183\n19584 31766\n28989 38579\n13324 20505\n12489 33727\n19731 29086\n21273 34673\n3652 24523\n33880 48514\n29223 42331\n8655 19352\n9396 33988\n28864 36187\n23784 45669\n25302 50054\n6596 31344\n16832 33722\n4086 41995\n17674 20022\n1131 27045\n1436 30195\n41713 49962\n23523 50058\n1453 7690\n13220 33517\n35472 35804\n12779 16393\n2388 39549\n1026 20393\n32414 46037\n28620 38724\n39828 40691\n11385 52702\n346 36622\n15126 53407\n8000 39816\n15025 46111\n6335 19630\n27901 51083\n1028 10171\n6666 33061\n21767 32938\n5889 7209\n32329 33460\n5244 6066\n4579 5366\n20414 26721\n28052 44964\n22488 48213\n11346 33434\n15541 33022\n24189 44198\n18073 31049\n23893 42322\n47565 52265\n7104 50233\n19057 28351\n11872 49714\n27460 30954\n9849 33052\n31932 47593\n50616 51773\n31271 48894\n7097 50273\n18493 39312\n35656 51485\n5845 15185\n1615 21007\n27872 40357\n34893 43802\n20429 20850\n69 16881\n24783 42720\n34602 49720\n15223 15822\n42566 49001\n44922 47858\n31235 41314\n13362 40004\n48298 50742\n11485 38443\n5255 8179\n11516 51310\n7310 27893\n8230 16760\n3933 11432\n23194 25295\n6253 39812\n12902 42940\n16178 31057\n754 41016\n32672 48906\n7846 23144\n13624 32499\n2952 53868\n34651 45281\n295 9207\n12866 35278\n8108 53425\n2994 44930\n3588 47600\n27811 52043\n4696 16771\n28563 48923\n13752 30734\n14707 29863\n12855 18242\n10534 29079\n7108 25812\n20608 31349\n8862 21819\n19967 38492\n13630 26620\n37647 40595\n9883 53101\n7604 22976\n1039 41215\n21502 38834\n12598 19675\n30120 33386\n18400 53894\n20870 35775\n29021 51868\n8545 35274\n30048 53844\n901 32841\n29227 31316\n14947 36008\n311 15402\n9575 32618\n32698 39059\n17372 38416\n17947 44749\n2844 42146\n45423 48313\n14006 46920\n6318 32940\n16330 20027\n44695 46799\n3192 50859\n4126 23835\n639 2272\n1731 19657\n27554 49680\n2204 29289\n26226 34979\n10197 18763\n13929 28199\n16848 25117\n2393 5700\n1361 29440\n18837 26722\n8468 15362\n20304 31797\n1530 5249\n1947 27401\n43417 45260\n2606 33268\n19409 24366\n13361 32302\n32068 40692\n3923 41289\n26735 44591\n21433 32672\n12865 19506\n2479 11867\n17964 50474\n18385 34831\n16922 50876\n42394 51167\n29161 43854\n19312 37658\n35755 41203\n22484 26941\n6906 29215\n8305 46992\n4235 46146\n2999 46422\n11384 48863\n13297 25981\n8758 20850\n37285 46179\n7280 10579\n10946 19354\n11839 46672\n33791 50152\n13909 49135\n9973 49626\n41725 52427\n9225 31354\n23134 43533\n10080 16237\n1097 15767\n1901 30929\n22255 39548\n33409 44302\n14449 25967\n16606 17858\n22758 26108\n7258 53144\n26303 49961\n423 38923\n3629 24052\n33111 34134\n1021 53909\n26357 34789\n39678 53080\n26906 48234\n36190 53449\n10699 14992\n6810 46535\n4101 31402\n7980 21882\n22089 41974\n7489 52804\n20368 37059\n34287 48349\n3168 10642\n1723 13375\n31837 53658\n2144 29883\n10196 37690\n10621 39126\n41064 41973\n18925 27091\n30043 30935\n42494 45500\n26989 43620\n2596 43599\n43085 48801\n13318 34745\n17396 26906\n23222 26216\n35843 38344\n20998 26869\n17034 40508\n6211 18445\n4582 42089\n20454 53880\n3886 24540\n1409 44850\n19163 21428\n26961 51553\n21919 32390\n4677 50403\n752 30413\n29548 46352\n2600 17275\n26811 44103\n739 1468\n35703 52304\n16521 36103\n2027 15150\n4122 28977\n45545 46846\n29979 49742\n13047 18854\n11901 35350\n42587 47701\n28977 46769\n10252 23803\n6311 21696\n2488 6061\n11626 53140\n36165 53473\n3748 37370\n8214 32019\n8743 8964\n24203 36426\n158 10328\n10627 46787\n24648 26819\n8044 12642\n16325 20108\n28362 31867\n13404 45821\n30884 33569\n1686 28007\n11082 33362\n22019 23168\n33933 52560\n5771 9461\n7134 40872\n9516 29386\n20791 33483\n16996 49788\n43167 52913\n29948 41681\n9087 41203\n33077 44994\n1649 6350\n17709 46855\n16732 37320\n1256 26319\n19541 26578\n22445 49014\n22485 29168\n29418 53521\n34360 42452\n29544 40922\n42731 43598\n9444 38211\n38156 44140\n3538 5061\n9504 42221\n7519 24605\n7516 33435\n1798 41099\n18102 26267\n14572 21970\n3902 3932\n22088 33003\n10636 40747\n37452 43718\n30261 32231\n5565 13753\n4416 4662\n17860 29579\n18099 51361\n4524 26996\n14274 25165\n8869 16363\n602 33064\n13399 44484\n24857 33717\n31058 34482\n11255 37919\n7612 12441\n17686 34101\n5182 40336\n20567 33759\n14316 21037\n25798 44842\n26506 33361\n23844 26191\n32645 51502\n12061 17279\n46801 49199\n29924 41864\n2120 33932\n29173 38364\n21446 39424\n12520 25156\n27458 38135\n23694 43876\n2683 48660\n447 48268\n19606 43427\n44412 45490\n10120 51969\n2799 39543\n21423 25830\n7195 17984\n28486 39472\n10115 45651\n13504 26423\n1662 32374\n31070 51489\n14224 40103\n2172 42308\n27734 50137\n11186 16085\n12281 38783\n940 52164\n3999 15833\n35541 50669\n8024 17914\n35887 43034\n26397 33603\n25691 45865\n6828 53486\n25779 33611\n35149 43278\n16800 32960\n24093 51189\n6669 32739\n3225 23291\n13320 48022\n8271 10097\n26261 38808\n32347 33962\n3893 49628\n26844 47578\n9422 34923\n30003 43126\n16500 23953\n8941 43940\n34096 39553\n38866 47975\n2830 52252\n1000 9079\n34275 36439\n24079 28470\n17177 26759\n8810 38069\n25463 48465\n26545 42910\n20034 26211\n5455 25983\n22619 44688\n15368 29573\n4609 12078\n39540 49316\n33135 43679\n27197 47996\n21545 53053\n4333 34488\n9322 25713\n27914 38999\n20811 22784\n4419 52212\n805 23178\n4246 23089\n18748 31688\n29452 49551\n10791 15963\n26289 37740\n19282 40558\n19058 51460\n2961 15501\n22288 41241\n18072 51954\n24896 42228\n4590 7974\n23362 45532\n4945 27537\n34060 38050\n24488 52261\n43635 52310\n19900 52002\n1210 42841\n24712 47426\n6502 9385\n58 29285\n18082 26241\n32418 50097\n36934 38884\n12649 29196\n32825 44132\n7526 11289\n9924 35201\n11799 21638\n11420 30732\n49414 52400\n24069 34794\n6180 44515\n5135 23055\n11829 36902\n9416 50646\n3678 11323\n34629 46758\n41382 41944\n46721 50003\n16958 26489\n36381 40304\n21999 50586\n19289 21554\n4121 14663\n27984 44982\n37042 52556\n24766 50470\n29857 45055\n3581 26689\n17017 25398\n13544 27031\n18656 38860\n23396 28361\n19301 24838\n22216 45983\n812 28610\n12643 43376\n21526 34641\n8567 44309\n35805 36982\n9481 34018\n21902 41514\n957 7613\n11966 26662\n48119 48333\n20836 32387\n18526 52836\n14094 47055\n44142 46444\n40070 43867\n15732 51123\n11460 47463\n19339 52958\n20505 23896\n2225 51291\n5473 19427\n19920 36534\n4170 36839\n6102 17825\n29292 31448\n33567 47214\n16069 20557\n43144 53010\n44540 51177\n35065 50146\n31914 43299\n10551 51475\n3972 23018\n26465 50435\n36578 40955\n5935 49544\n19313 24855\n7288 18282\n50587 50807\n1902 5113\n20145 42524\n27518 51748\n11729 29255\n2001 24251\n23165 51771\n6061 40742\n14218 32416\n12404 41722\n45547 53058\n3645 33226\n12551 36836\n30611 41996\n21092 41841\n10916 44701\n4359 49267\n11132 31941\n21110 25108\n29367 49058\n31127 31479\n43061 53716\n24627 44436\n612 15027\n34190 34472\n36187 39476\n33418 52169\n30932 36114\n3622 4309\n39477 52098\n476 3903\n14841 19128\n6453 32968\n1567 50686\n14129 45406\n38155 39717\n2604 49200\n32818 50091\n7969 23562\n6615 43477\n30248 42150\n15379 31425\n38654 46661\n10701 43774\n22942 26378\n37071 47596\n2413 5146\n4489 10202\n48677 53755\n9336 46303\n8638 45948\n571 34646\n26000 40345\n10034 20738\n993 42234\n6999 13970\n21093 42056\n14356 17830\n17052 53576\n2441 25904\n28277 30551\n30153 34187\n1747 28810\n26306 37961\n14883 23203\n4982 36407\n29123 30593\n20620 45941\n6128 32130\n20862 42942\n26057 44737\n11000 33093\n35624 41806\n5232 20175\n4497 38224\n1817 47437\n40715 45850\n6684 32289\n20762 25473\n30812 38856\n19320 34421\n26499 47890\n21129 32047\n5819 21301\n3522 48548\n27029 41024\n33475 33926\n20845 36591\n8830 21218\n29643 32430\n16612 25683\n19566 38077\n25979 34154\n16956 28073\n6600 29189\n11112 15791\n36535 38865\n24097 33959\n13979 27643\n1186 26651\n36878 50478\n627 26107\n20442 43311\n48515 50899\n46021 50844\n3543 37095\n11717 45883\n29725 50348\n3810 37488\n22079 48418\n22390 32713\n19741 29951\n2855 25684\n5941 33516\n24396 33149\n728 7703\n16461 34875\n2916 39909\n17129 25200\n18944 36881\n5883 19028\n24838 36098\n14712 21374\n45778 52386\n16058 29131\n5048 14354\n5399 36880\n4990 52697\n2847 18227\n23012 49513\n46068 47980\n19211 20003\n9687 11530\n9659 21761\n21198 49168\n5405 7625\n9388 20328\n35320 45058\n13315 41645\n7098 25578\n15529 39077\n49743 53650\n36433 53381\n8144 33968\n3822 13379\n11229 51458\n31422 43092\n21904 47911\n10543 36493\n5661 52199\n11609 34492\n25692 43019\n11777 19244\n19927 40986\n21477 35678\n34592 41741\n11786 43899\n9731 34600\n712 28103\n17079 27946\n9666 25020\n10412 23630\n27058 27088\n39554 45495\n29094 35595\n46138 47440\n9242 18458\n35228 47168\n24829 45312\n23817 40213\n5322 51104\n19428 31881\n26003 39410\n35849 43901\n6571 51232\n10503 18201\n31216 37165\n36913 41339\n31660 41040\n1570 25230\n1978 9199\n11374 42232\n24804 50369\n30919 46067\n24697 40428\n27408 36853\n17752 51288\n5945 36822\n5865 10145\n12249 14112\n16389 18435\n8421 26045\n363 31257\n47097 50762\n1605 38368\n33773 50364\n40916 43408\n4325 4824\n43612 52911\n26519 41821\n8512 32271\n32646 53269\n43731 51775\n5545 13603\n3904 33256\n43530 44113\n30756 43151\n52 19620\n30559 40608\n964 9241\n17522 47660\n29139 52387\n12088 19421\n10786 32428\n23627 33948\n26394 46524\n5415 10052\n30268 50932\n85 6727\n41030 47624\n11519 21007\n20986 49364\n17502 44991\n9575 30694\n15028 18671\n37174 48799\n8786 30226\n32373 33501\n681 9926\n7613 7903\n30719 33085\n11905 50129\n3662 18288\n40076 49678\n4478 21361\n160 9376\n20135 33545\n21915 24407\n7769 10902\n8567 34163\n32978 53233\n37744 49057\n6535 18191\n15387 30744\n18826 25435\n2593 19380\n9451 26918\n45765 52573\n52507 52855\n9504 19616\n12049 32060\n3052 11743\n3465 51060\n19303 31439\n25170 43933\n36883 47224\n9888 13164\n14979 35331\n3601 13811\n15301 21850\n9886 50040\n15654 26750\n3814 46643\n32120 45224\n22013 32581\n21097 43720\n33385 34849\n27995 39909\n1011 53729\n20165 27984\n8858 22507\n5123 22828\n8805 14538\n43556 43724\n10615 33744\n20530 53064\n927 6729\n956 20844\n36890 47890\n43208 45072\n7116 8569\n23758 28168\n28154 37953\n25895 34046\n25075 49781\n5977 16462\n15360 49823\n37488 37553\n13090 27569\n2130 21544\n7065 24208\n8062 28097\n3041 3419\n21209 21666\n20521 44664\n1341 27615\n21611 31012\n35112 46714\n11487 13808\n7753 41006\n22863 27137\n35616 36140\n1570 23035\n31474 36200\n713 19283\n44374 51785\n27550 48929\n2560 17099\n27977 43266\n2284 34817\n5658 28696\n3593 36117\n14386 34390\n13944 19219\n32262 44902\n3018 22905\n12861 46430\n31344 50210\n15270 34262\n15634 48976\n930 38846\n37532 41848\n14538 28161\n27144 49372\n7615 50887\n22373 52905\n21386 45796\n23358 47803\n11647 51432\n12161 42780\n5652 50158\n7211 9571\n36350 43138\n522 50500\n41313 46435\n38012 43294\n18305 42647\n32419 47998\n12793 29541\n249 38820\n8627 43949\n3843 37279\n36156 48860\n12176 38590\n30832 53440\n21341 40563\n24162 49405\n14760 36126\n11787 20767\n20305 21240\n30 1828\n36902 53200\n14250 29957\n21999 25533\n1495 2747\n12240 16089\n31462 43467\n423 18522\n12121 26266\n574 33776\n6100 21067\n33899 47711\n34605 41680\n2793 38550\n6433 47424\n2847 34094\n5341 22757\n21323 45089\n16298 29556\n38093 46043\n24126 40180\n10423 35519\n36714 47985\n26175 50718\n20744 31815\n5406 46745\n31881 51638\n8069 12751\n21481 31623\n4884 26175\n31925 41888\n3323 19101\n37006 53648\n15304 27219\n33892 53691\n10293 33338\n12 20357\n33658 52234\n26106 47626\n20295 33408\n33520 46386\n42585 52153\n21564 27413\n18904 51230\n4536 28897\n565 28408\n32808 51394\n6987 8349\n12830 30528\n38970 39289\n25964 49057\n365 51535\n44224 52892\n562 5183\n13773 26107\n7224 29298\n33996 46334\n2764 36726\n12519 25297\n8750 27959\n44200 48530\n2275 53009\n18886 35217\n17841 18361\n20250 42603\n14221 24396\n24114 43992\n24309 49303\n35653 50296\n15946 37819\n6146 26444\n25604 42053\n16790 25904\n3115 20069\n15421 41492\n4543 42887\n6938 50783\n6615 7002\n15329 19852\n6223 31582\n25275 38719\n23197 49627\n22439 25229\n10623 13837\n2530 46120\n14064 52064\n3400 9338\n4019 18497\n31886 40948\n7554 36615\n19139 24681\n34444 46703\n16179 52185\n12860 22863\n21250 30796\n31987 49739\n3227 5375\n9267 26092\n10909 21131\n49485 51707\n38660 44080\n26978 39453\n11401 28147\n5203 39369\n33383 46569\n10441 42581\n25468 53358\n19209 45867\n40351 49393\n32074 38151\n12090 36760\n11859 53419\n8882 50143\n12044 24378\n36014 40058\n14214 46502\n23468 39314\n31838 37331\n5800 13027\n14566 31414\n16733 28529\n23614 50705\n27100 47355\n20595 36327\n2570 43865\n18169 37227\n20727 43586\n37589 38462\n13797 48091\n23777 44706\n39776 40317\n43933 51672\n3933 19122\n23179 39273\n3492 47101\n19236 34114\n3698 19967\n23447 47045\n28779 41595\n8773 23078\n29169 32163\n6393 15526\n37078 49266\n8832 34469\n2263 40041\n8477 50517\n2838 27592\n38700 51422\n3357 49709\n3851 25862\n8070 32726\n3862 49756\n49160 53438\n4507 39464\n10862 25710\n8650 40045\n30803 36126\n23189 23635\n31293 33355\n5229 28598\n12456 33844\n40096 49486\n23675 52665\n20173 45386\n27918 49137\n17095 52421\n7221 13181\n2783 36646\n5699 9232\n22324 40352\n1809 17267\n19008 52637\n20396 51887\n44114 49564\n11482 40688\n15829 34307\n780 3925\n16957 19546\n36120 45098\n5305 30048\n9248 30384\n27334 43867\n31689 32181\n21826 42023\n25739 36145\n40900 50281\n24104 27807\n2931 6093\n1640 37264\n6622 51427\n11556 28612\n9384 44279\n11438 30727\n4651 40376\n48406 49256\n27100 30227\n38403 53174\n22674 27907\n2661 44717\n1921 42811\n5478 29767\n6146 49555\n24645 30301\n7210 27299\n22630 44636\n41195 42317\n29656 38077\n29155 44030\n26123 30342\n25720 37513\n197 22880\n20640 24713\n6851 51140\n39582 46286\n19713 52141\n19587 51797\n36832 40011\n20471 46895\n8409 52970\n29464 44903\n3643 48039\n20941 45305\n7933 32690\n1817 10748\n23288 41072\n32693 41998\n3358 32971\n17846 39948\n27711 41220\n13099 30554\n5323 46444\n9031 38504\n21304 40102\n23864 23874\n29850 50905\n27239 49823\n38580 41510\n17824 53145\n22816 33584\n17932 18221\n29606 39787\n27684 53678\n6664 34519\n31272 39320\n35931 51027\n11750 43507\n270 17892\n12677 17186\n8728 33220\n21499 51797\n42537 51246\n16270 41932\n22361 40160\n33742 53580\n6197 44075\n23948 37956\n12499 36572\n15651 33974\n21714 45515\n12518 46709\n8410 42093\n7108 30621\n6753 34001\n921 24134\n20700 44030\n24620 26676\n31947 40065\n32872 36694\n29778 41422\n38331 46284\n29188 41343\n1524 25554\n17484 47552\n44543 45274\n5609 37487\n3510 14957\n28049 34071\n15185 40950\n5001 27434\n16376 45036\n17848 34482\n28033 46864\n8767 52242\n16962 17329\n28646 44886\n11227 15474\n5722 33440\n15537 21022\n25971 53038\n38641 48178\n9124 34633\n14800 39172\n7662 48128\n23668 32076\n5604 40179\n17687 24428\n60 35561\n31653 38247\n40646 49661\n11619 31921\n1715 39409\n32250 44118\n33335 33387\n5428 17911\n9448 12288\n3616 23948\n3519 41543\n3586 44834\n2739 25760\n13752 26060\n20531 49432\n3392 19259\n12233 49150\n21889 41256\n4747 16001\n28870 53432\n30056 33699\n24788 26275\n12659 48612\n45665 52821\n32361 43746\n44526 49397\n4923 5954\n22654 35891\n14710 47652\n12343 34231\n19661 41308\n7545 32632\n25919 31296\n27688 46125\n6839 16902\n39333 53388\n21297 51479\n10240 16965\n18807 22577\n32186 45708\n137 28465\n14828 42404\n10486 46251\n6732 43975\n15709 46414\n12544 38673\n11473 34567\n36177 42896\n37874 45313\n49486 52253\n19138 53703\n13640 38570\n29811 44356\n29675 35275\n52199 53676\n10427 32813\n21295 39385\n25346 30751\n38074 53226\n7999 10852\n48083 48431\n31580 42432\n832 38990\n4725 23811\n4151 49774\n17121 50539\n29929 31916\n605 13504\n10156 32926\n47196 52925\n9002 53690\n9782 51086\n20018 44928\n20031 51021\n25663 26297\n13712 45305\n27167 31430\n8003 21499\n22287 27040\n50491 51146\n14088 29639\n14194 15794\n33128 52186\n13186 36749\n19766 42777\n2648 19266\n26300 44919\n8207 51486\n19144 50622\n11914 31172\n46437 49194\n20525 24765\n41888 42562\n6151 47694\n33267 50528\n10984 47379\n8185 52108\n25679 27075\n4065 42684\n19583 24898\n3261 32465\n15272 27363\n26282 35726\n2811 40634\n45709 46942\n1777 19618\n7312 9047\n34988 40143\n6303 16545\n1436 38416\n16135 52720\n16579 19886\n17044 36929\n30679 47679\n13780 49080\n21397 26698\n43212 51546\n44430 46326\n25408 50293\n16616 40566\n147 26550\n26113 49423\n29660 34407\n10084 43214\n7763 29012\n17042 29988\n10614 49005\n38207 40814\n6217 15196\n7427 22114\n6227 41245\n2715 30772\n12302 34451\n3905 47767\n33220 47165\n3376 47653\n8776 31810\n32478 37883\n11411 33150\n36631 38902\n31372 52566\n10128 25800\n18328 52191\n9529 34322\n17078 51603\n13854 21824\n5707 28374\n36625 45418\n9576 45703\n13270 41840\n24736 28575\n5418 45455\n19880 48425\n11744 32016\n2312 25188\n4805 23651\n8453 33396\n2290 11324\n127 18100\n23748 30558\n2537 23273\n28876 37439\n15160 46498\n2634 14569\n6683 12607\n20959 50334\n14569 26283\n25981 27054\n29836 49263\n16163 30765\n19056 27667\n18446 33805\n33721 34318\n19019 30544\n20594 36183\n14072 28115\n2690 19733\n17899 39395\n35224 51008\n21275 45061\n8069 31357\n31349 49335\n19673 34562\n29958 35522\n23229 25114\n1177 23258\n10138 12219\n20734 43256\n13929 40409\n4175 46754\n19717 43151\n1739 49307\n11585 35799\n8 4715\n31686 42322\n30087 47490\n16503 21171\n15557 42692\n21276 46080\n18785 44649\n35200 42667\n26743 48979\n32235 36469\n16382 36165\n4907 15016\n2066 27351\n45795 50109\n14958 51606\n42148 46663\n34233 51638\n52173 53159\n8338 8842\n7878 30093\n22349 32215\n22172 25575\n7279 21227\n807 28286\n4522 45637\n4002 20765\n22878 38035\n28869 36112\n787 31406\n1530 11806\n12348 51396\n14713 23820\n37629 51700\n20722 41856\n6827 30237\n6313 14676\n15462 33162\n46983 53296\n12712 34369\n27814 34165\n26406 38653\n32503 47853\n16120 31798\n37238 40385\n786 38343\n16198 42861\n36145 47411\n6639 21076\n8332 22919\n14254 28948\n20144 33201\n38768 42801\n11491 44513\n37857 47785\n13343 47373\n2555 20079\n25425 38328\n43408 52751\n45576 53151\n3532 16239\n40574 46531\n27571 39664\n26294 27843\n16586 38782\n3694 8369\n8633 36633\n6639 46287\n2913 41125\n3767 26351\n3146 19699\n20067 45022\n30768 44654\n4978 52869\n4690 18065\n37903 50920\n17310 24370\n293 19487\n23453 28201\n12812 50570\n4934 52321\n17497 23557\n29231 41140\n3480 47777\n17282 47748\n44488 45969\n11032 32494\n35211 44328\n2246 19263\n12351 26897\n116 47212\n6906 7255\n44747 48787\n19873 41758\n3486 10005\n8810 37465\n17841 53285\n35545 51153\n18559 41788\n6441 22908\n14080 18392\n5486 23419\n44319 53614\n10015 24827\n7866 46289\n8446 13342\n20881 40860\n3293 5719\n7960 30191\n44715 52174\n17722 27060\n7151 23461\n8795 20533\n7272 13227\n18307 32480\n22426 35011\n5462 52141\n27033 34331\n3695 50606\n26843 31907\n28654 44435\n14149 52726\n36655 39124\n27759 32370\n24694 47953\n42242 44218\n11233 52273\n38113 52785\n4159 43655\n29654 32171\n21909 43061\n6792 16284\n28666 32468\n16298 31758\n19059 53771\n22322 51069\n9273 29733\n28872 41212\n3867 26466\n33448 53879\n27120 52489\n9838 23560\n17559 52288\n6827 45377\n18960 25311\n24359 52537\n29820 37210\n28749 31707\n14486 20968\n13611 29847\n14310 34085\n9602 44173\n37079 46741\n18383 29193\n3756 44634\n22854 42887\n45479 50202\n17638 27408\n20455 42714\n12391 36611\n10656 39957\n10911 50737\n434 19885\n1548 4341\n5782 32443\n40088 43978\n12430 30390\n4681 51650\n1016 45973\n7481 17733\n37872 42279\n33362 47789\n13222 36980\n19297 26925\n22315 30953\n22422 52151\n46219 46693\n15905 19962\n2420 5809\n29199 40597\n4630 42592\n23283 49167\n1780 21857\n27301 32431\n22072 50527\n12466 15306\n24500 47882\n3528 30651\n3631 37596\n1556 4923\n39760 50593\n520 10429\n2648 21917\n4860 23969\n26845 41598\n6917 33455\n17657 41821\n14105 33756\n30192 41191\n16402 50045\n23815 50962\n5593 8468\n4346 34681\n34622 45759\n11678 34497\n7323 52245\n2541 26825\n20291 22468\n20546 29536\n11916 24941\n33652 52355\n16083 37763\n20950 49209\n35134 42001\n9898 30373\n834 43003\n32699 39263\n41815 47791\n18474 34103\n14187 39480\n11143 29543\n34008 49248\n881 1789\n19004 51446\n26554 30177\n14039 33892\n19171 38429\n45143 53602\n31574 32236\n11616 43659\n19802 41067\n4662 11575\n28729 52220\n10820 24532\n16810 26328\n12218 31889\n37643 45999\n16963 41235\n5088 25564\n11174 20893\n17673 35161\n13488 16952\n16683 47518\n8038 39930\n4789 30891\n6173 15859\n22355 49642\n32976 53289\n41691 48643\n3164 32419\n25353 26539\n33165 45114\n9649 47251\n34689 43228\n14795 25877\n9135 36818\n32550 36137\n15006 26610\n48359 50566\n8780 34337\n5261 49167\n27416 47922\n25811 38407\n20989 47582\n20867 47188\n31277 31318\n4263 5974\n31238 44227\n23548 36157\n36408 45346\n7956 33423\n23096 31545\n45755 51102\n7265 38658\n2786 16998\n6041 20699\n20762 51650\n4609 41909\n17206 46565\n38779 44321\n27959 39122\n8853 49563\n41246 49562\n8174 12013\n4879 13839\n39079 45058\n25279 34164\n18312 47184\n16478 36100\n11905 23945\n6559 27736\n9008 28878\n3529 10890\n15774 53295\n1867 42791\n16934 26124\n126 28145\n35289 45800\n20403 37619\n11358 45136\n25755 31051\n1960 33449\n13384 21292\n14545 46823\n4142 7176\n12381 16668\n11142 41089\n47399 48919\n2311 17813\n15755 33965\n30621 37276\n3467 11452\n9682 36084\n9899 36307\n4671 11991\n1414 33661\n28912 34289\n11047 29144\n18835 26169\n46955 50770\n30036 43852\n2313 40772\n3536 51196\n21621 44826\n7692 27820\n22506 35404\n33077 40806\n27283 36033\n36976 42060\n3109 25369\n6995 14029\n10017 19078\n26410 26453\n5981 28826\n16731 49363\n1592 8742\n10186 20225\n27358 52149\n17097 20313\n9307 27485\n25150 31743\n6771 47298\n33666 41473\n1541 47232\n24142 49226\n3238 23852\n26881 39958\n36393 41002\n22085 47676\n8740 30636\n36611 48910\n17930 26787\n42253 45796\n27745 28587\n5711 31937\n6821 32145\n45267 46788\n24312 38844\n18844 51823\n13313 38369\n11260 39553\n13571 28936\n42845 44663\n44498 49271\n36074 49657\n3451 44359\n13491 39041\n7099 22582\n2895 40270\n6520 12397\n9769 42428\n40106 49443\n953 33915\n16257 36210\n2952 24450\n32435 42435\n27303 46423\n24149 28898\n24606 49096\n6696 9988\n9151 40263\n6698 49428\n25475 42377\n27315 35084\n7752 30213\n7463 29286\n10603 32041\n7450 47118\n3875 47628\n13384 51157\n10958 42133\n30176 52613\n5827 15964\n39436 51520\n48301 51125\n12518 20316\n41599 53584\n8142 39614\n11131 47210\n28038 40781\n9558 46765\n26061 36975\n15235 37730\n28741 46533\n6304 10492\n12067 42605\n1762 23059\n39341 50518\n19532 51996\n17310 32913\n10331 41930\n13155 52781\n14469 52752\n1888 19267\n9411 44548\n2676 4605\n21013 48207\n17921 24816\n28352 43114\n31793 45359\n3183 50170\n34964 48478\n16176 36360\n2333 40554\n1341 15046\n33110 42905\n1819 21460\n20774 51345\n34094 39404\n2264 52006\n12378 34382\n24947 34068\n4126 15673\n2859 34168\n6578 34704\n29730 29904\n39851 41868\n39028 50287\n40875 41837\n46648 52079\n3225 40171\n24501 51633\n6571 6578\n14730 28981\n20889 51866\n4154 49347\n18492 48225\n30715 47765\n5364 33532\n43088 46820\n34628 40400\n17074 29077\n48337 48741\n24752 35153\n17561 24615\n13364 38252\n1358 45752\n7625 35346\n9074 19890\n16635 37507\n16972 44751\n8246 11151\n38360 43216\n11109 22880\n5100 16019\n39483 41649\n23877 42063\n40886 49540\n13806 31069\n21467 47452\n560 40803\n282 18885\n1761 6514\n9947 13228\n13465 44235\n6649 48887\n24306 47799\n16729 48579\n9550 21362\n4379 37385\n6552 10736\n18284 45337\n22802 39772\n22742 45962\n31891 47239\n6052 34563\n18567 52015\n5521 48919\n25290 52474\n2179 49797\n14066 37912\n15554 46311\n11690 24433\n13246 43329\n15985 47745\n40476 51433\n1532 45490\n8765 44517\n29729 33133\n31022 50445\n22137 48610\n11162 51222\n900 6091\n40462 52807\n31006 43842\n227 48964\n12285 51951\n32945 42514\n25999 40301\n17686 48592\n13601 49041\n17823 49512\n24380 25265\n9494 20864\n994 14148\n16630 51310\n498 46538\n17684 53248\n15267 18518\n9634 21807\n6314 36685\n31263 44457\n8513 43284\n20547 29893\n24082 31842\n18971 32847\n24369 53784\n11852 46105\n31144 39509\n33003 40885\n7279 8117\n6045 47191\n27603 40908\n14426 14960\n1587 18388\n6845 32123\n5707 42985\n29805 37870\n38285 50925\n41714 49407\n6396 27807\n16864 26172\n4659 11963\n30272 40038\n5029 44779\n23594 46498\n6033 21799\n1088 49027\n12642 46649\n30862 38115\n3581 24397\n6791 14251\n7231 9124\n589 51377\n37460 53049\n13735 35554\n23442 33124\n1508 25736\n36554 39398\n18463 47438\n35870 39181\n42340 47000\n36928 51013\n24002 52162\n23024 42746\n895 52480\n34039 37056\n41322 46703\n13933 52946\n10086 25242\n22730 44522\n11844 31224\n45225 47868\n2966 47258\n29573 37155\n14327 32473\n11511 34365\n47012 51517\n4214 47853\n32314 50477\n15689 52766\n283 22437\n3442 48639\n20913 29487\n4760 49486\n29555 37336\n1992 40565\n2416 14527\n3148 42688\n5575 20447\n33936 46692\n924 24172\n4374 14692\n4555 5745\n2017 8133\n9198 40173\n7849 22843\n13974 51947\n25037 34120\n2670 17865\n48794 53059\n24147 48749\n13357 35403\n10211 33096\n3350 13619\n8334 37571\n6069 24204\n38565 45078\n13931 43779\n3197 46414\n29009 33365\n29255 30338\n13001 28236\n12531 47437\n41687 44341\n10541 20033\n8941 9381\n21327 27302\n24177 41910\n21892 22410\n32996 42581\n9791 47433\n9731 49814\n35961 48545\n5445 41265\n17319 25475\n22934 25283\n5021 33926\n4279 12699\n2881 16030\n19995 20343\n25347 35072\n15221 23065\n2355 11385\n33720 35496\n20984 36777\n13954 22905\n4330 34943\n2484 22851\n19584 27864\n1481 32737\n20114 38192\n14654 50901\n1816 52401\n37525 50152\n27796 37442\n19951 43203\n28387 37327\n16431 21212\n3059 39332\n3569 20367\n11180 33323\n45909 49934\n4287 40083\n795 3240\n7014 47954\n32067 48589\n27141 33262\n27172 45256\n9214 10539\n13027 16810\n37792 50695\n9824 24314\n7976 21311\n11829 20357\n42181 45935\n4017 34421\n319 39290\n5794 45660\n2472 23433\n6422 34688\n5915 22676\n9763 42489\n1160 7923\n7034 31622\n46521 48932\n36744 46294\n29040 44363\n5239 6030\n41665 43206\n17308 22906\n39410 45885\n2674 45857\n9495 51149\n19219 39127\n46653 51549\n3081 51784\n32252 38225\n8951 9357\n22938 36965\n12914 49649\n28063 45056\n10939 42120\n15186 31303\n25362 36538\n41955 51811\n14149 49434\n9476 26624\n8234 52397\n33290 44391\n29066 33658\n7400 32925\n28335 42994\n7253 33155\n7714 15848\n7248 20236\n14279 47509\n24506 43870\n4488 19489\n24929 49293\n37261 45830\n28172 42533\n41090 48656\n19974 23566\n35528 36150\n6391 8576\n26333 26401\n9266 12539\n23298 25316\n15748 41219\n21017 27470\n33658 34857\n30768 40466\n26328 44929\n42169 47953\n28604 38748\n10481 16946\n39898 50873\n16314 49107\n11781 34339\n28243 52471\n915 19053\n20937 25067\n5419 37638\n42662 45130\n34839 51544\n14233 53273\n39627 53640\n8003 21091\n20494 33782\n2853 50636\n28147 28909\n4777 51973\n5150 15237\n31233 40429\n43666 45881\n432 4269\n12323 53662\n18110 18584\n5987 10703\n16527 17116\n23641 33360\n35470 43863\n10921 28766\n24988 38768\n20553 21816\n30038 51367\n10897 29053\n39023 51730\n20889 33097\n15181 37457\n33123 42111\n2228 39457\n19689 33167\n18563 20115\n20721 25036\n9911 16362\n745 23293\n18102 25315\n17781 26284\n4072 51093\n15464 51523\n10420 24640\n38375 46356\n13653 26977\n40472 50279\n7188 10062\n305 14320\n12410 19635\n13526 22570\n9098 52987\n5571 36562\n23600 25784\n32214 53297\n37466 49015\n16517 46344\n25022 31828\n18500 29874\n27414 37223\n10504 23809\n19310 42040\n10824 16881\n2956 38457\n28900 53185\n10235 36893\n17339 42687\n1803 32406\n28301 42807\n14353 51058\n36323 39689\n10827 32592\n10188 14055\n2079 28101\n2302 20031\n3252 4715\n35334 41155\n39500 51863\n27231 41754\n4231 22581\n34132 46821\n10583 50708\n11641 49912\n23485 50730\n7286 40625\n9391 11075\n9746 40041\n27197 51565\n26964 40671\n4544 7552\n21625 36886\n48876 53219\n1305 44580\n43372 48899\n3423 18123\n50139 53323\n6840 23802\n3336 26219\n1574 22208\n30068 40315\n10086 46315\n43676 48152\n23837 29768\n18312 36852\n15028 35949\n7493 16639\n10950 37126\n36100 49312\n39552 49172\n39333 46408\n18436 22397\n28680 46370\n6081 42059\n36238 51214\n14022 31271\n35423 44023\n1027 3985\n26682 30700\n31112 33865\n14826 36810\n15712 19142\n965 28317\n42490 42940\n18832 19353\n13127 22335\n378 8823\n29842 39189\n6997 29508\n9665 13812\n7347 52968\n11575 35280\n34972 36785\n32653 40754\n5742 22572\n25991 27429\n24573 32042\n17951 34060\n11174 11539\n2620 35316\n38337 44270\n14261 24146\n11355 53291\n17055 48377\n2796 26041\n23780 49028\n4960 47749\n19183 21962\n37800 42048\n35598 52399\n21013 44855\n8867 52102\n11568 28573\n7376 22468\n18660 49133\n3427 20230\n28349 51333\n10754 29204\n17799 43022\n26145 47251\n11798 37172\n25084 47145\n4245 27527\n13647 45654\n3372 45559\n20332 44033\n1172 42670\n19694 48577\n25915 43697\n3155 25293\n5876 47777\n2738 9521\n3806 37339\n5853 48426\n45197 49287\n25311 37262\n24620 26512\n6337 38053\n21495 30088\n40957 46225\n1448 17627\n4882 53372\n5380 8293\n25739 33306\n12532 37624\n8385 41823\n7059 13099\n39775 52588\n21094 35677\n12729 20022\n5391 21641\n21632 33114\n16766 33257\n26273 36379\n43859 44799\n17517 43404\n1491 33483\n39463 49781\n17584 44435\n8737 29736\n10234 14684\n5290 27041\n6568 37278\n49896 52578\n40961 43422\n10184 32621\n3347 40214\n301 32932\n21707 23888\n29290 34976\n10817 36776\n10689 44307\n2945 34969\n23230 42552\n4417 50689\n11795 13644\n27498 43170\n20451 43940\n15391 25373\n36397 36407\n7269 11921\n41559 45325\n6316 51898\n24186 49462\n4683 42709\n1297 40830\n18286 42343\n689 43285\n14148 34697\n20190 49791\n21537 39206\n31218 52934\n13665 47261\n24516 25257\n39800 43889\n26373 44092\n31496 34653\n489 43952\n15002 26710\n5791 8056\n7401 36365\n14211 34115\n48766 50689\n6522 23106\n4063 12111\n15355 26032\n21685 42359\n20377 34481\n1055 2775\n4981 32917\n11031 34046\n2661 49996\n7310 10628\n10800 33415\n5773 34481\n23481 38480\n7847 46419\n32032 52523\n5911 24174\n45367 52600\n35943 49221\n13151 18849\n25974 31371\n20797 39076\n19013 52656\n3869 17870\n632 47356\n3791 10883\n8348 8995\n22086 31834\n39317 53625\n9843 39825\n12841 48683\n19831 28519\n46625 50950\n26855 36343\n6113 44995\n41476 43731\n13682 37968\n40878 50835\n10362 33759\n10243 39015\n31256 51215\n14374 25793\n13588 40463\n13850 53489\n25432 33545\n35419 40411\n2212 24772\n26330 30860\n12231 12774\n7666 32691\n42404 53392\n38851 52085\n21504 52273\n849 36869\n31246 32362\n7064 53471\n5650 16743\n2254 30588\n1386 5067\n5057 53233\n7208 15511\n15876 30874\n39217 53364\n5053 45576\n34180 38321\n7214 29355\n4872 45751\n32749 52320\n30255 30862\n35441 47872\n2076 52268\n40659 52513\n6021 31924\n13935 49189\n2890 51105\n6268 53204\n3101 51947\n20724 24505\n12728 25692\n6578 39721\n1549 40194\n29661 48243\n7962 9115\n18588 53910\n38093 53424\n23761 38441\n15072 34681\n37464 45253\n6892 26994\n51664 52509\n20704 21086\n25555 37337\n2744 30905\n34092 42468\n2322 39952\n17222 47299\n13427 14728\n24576 27211\n5832 19832\n4908 19918\n2753 9048\n7771 26441\n21078 28333\n33630 52822\n9640 19701\n14192 32841\n13890 18125\n16631 38314\n6140 21356\n17205 33206\n2037 46273\n17845 35932\n12718 46843\n20364 37327\n21618 45862\n28999 36323\n32838 51510\n11214 30170\n12293 53818\n4034 38382\n3003 22395\n38626 51851\n8097 11468\n7064 27761\n13428 13681\n27685 40798\n29929 46741\n30085 45274\n26259 40809\n9264 43899\n16313 52938\n7011 8207\n678 4141\n28064 49467\n17888 46085\n484 11793\n13522 49140\n15576 17726\n49409 52297\n1530 23351\n5169 23218\n24927 44514\n19862 41485\n6641 17307\n28547 29612\n30302 51038\n33582 34942\n6711 47003\n25636 38789\n19250 52474\n32320 49043\n11653 49606\n16725 40581\n2014 2686\n44387 50192\n8921 36751\n22746 39394\n8041 29353\n28993 42713\n10873 26287\n32179 33916\n24852 25432\n1777 31991\n45150 49756\n23217 41216\n33673 50981\n3359 12899\n25254 37344\n9297 44589\n12522 27818\n12565 45560\n17534 18218\n36828 45311\n52148 52463\n13125 41395\n17134 40632\n7403 20453\n8474 53116\n44952 48676\n5710 45299\n12002 14249\n6217 13721\n16195 42297\n20196 52913\n26734 27532\n7955 35294\n11653 47754\n14569 15429\n683 41455\n850 26599\n6145 42805\n15802 50276\n18210 51338\n42215 50907\n38958 53846\n12782 31012\n41900 45677\n7847 15344\n43610 48479\n12697 37420\n19952 40546\n17940 52956\n29404 50494\n801 25129\n4086 45833\n15658 41591\n7745 36178\n11756 36703\n527 15866\n34655 50496\n18822 42489\n22409 34476\n5767 21153\n5909 50916\n28601 47033\n28587 45286\n13697 36123\n10208 16164\n874 10280\n31778 43410\n14754 25162\n35779 42397\n2778 18195\n12357 34318\n2607 15503\n38238 47820\n927 20716\n3969 11029\n21319 45290\n13206 48859\n1017 38651\n30829 31441\n2927 41985\n30814 45106\n21447 41280\n22935 39329\n28508 52116\n14878 50733\n42910 51957\n40356 42526\n24572 51130\n10185 20549\n32004 41640\n16445 37960\n647 1050\n34931 52573\n4551 10430\n15375 43326\n22644 38599\n2526 32598\n17899 48824\n21556 39793\n16320 33701\n29043 49670\n27967 47844\n3733 14242\n16067 22949\n24477 29750\n2925 20117\n17944 48919\n4873 35341\n240 10444\n29669 50787\n20211 45302\n33279 40557\n40192 44851\n18261 32795\n2003 15324\n1698 34439\n16835 30749\n5193 42173\n37625 50550\n11545 49074\n32549 51490\n12978 40377\n45160 52128\n11019 16752\n19090 50239\n8433 27908\n6671 9317\n22446 27707\n240 21705\n3032 46027\n2848 40132\n4754 21830\n6841 39876\n13380 52919\n7660 36305\n32701 35522\n32764 40057\n9166 29958\n25013 26016\n19482 53839\n13654 48072\n6187 45354\n33738 52770\n793 23500\n12292 19149\n2689 31007\n12435 42776\n18152 30924\n37467 42989\n36846 39029\n16148 51286\n7167 52693\n1996 48092\n7091 7512\n11372 31215\n36507 43514\n8174 24672\n22793 28281\n26199 33044\n2831 8780\n25374 45609\n6578 28641\n25166 36699\n9071 52782\n22708 23390\n9663 34306\n16517 37781\n3501 44421\n38000 50118\n41784 42611\n37817 39759\n870 15831\n30423 46459\n27058 46148\n29831 49599\n13865 38135\n8325 45544\n26323 49901\n16074 32592\n3982 15720\n3926 22036\n3143 25745\n21441 31735\n1396 19181\n41197 43700\n7237 52370\n11972 53862\n50934 51884\n15787 27739\n15172 35806\n41207 46831\n1017 38402\n9648 40815\n26799 28402\n11838 12475\n16007 53500\n3445 19055\n11515 25723\n3309 4280\n37211 45050\n24808 40755\n2758 52587\n34873 51201\n26826 34375\n15084 16549\n4034 53278\n26492 46684\n39884 49269\n14032 19223\n5793 20269\n2341 26373\n14156 49873\n20205 43001\n4219 6734\n8609 51744\n29973 37907\n23574 47031\n11312 31685\n14402 35468\n25481 27159\n5990 48046\n22504 32093\n5085 8797\n37802 52474\n36109 50369\n5362 53210\n41956 47574\n10385 53372\n8156 40664\n12703 42708\n20186 25743\n31459 34072\n22917 27746\n24868 26363\n12319 30119\n912 44125\n7056 19255\n3390 35106\n31085 35073\n21259 24594\n1968 53134\n15660 40974\n45777 46044\n7109 14280\n15658 51417\n10298 29938\n2744 44618\n3441 18887\n913 22803\n10954 49706\n3666 40553\n6037 39383\n17396 40757\n4580 42186\n33676 47324\n7222 48240\n36769 52458\n13730 49275\n19536 38164\n6544 13905\n36128 36973\n18899 29318\n19524 36217\n26616 52397\n10406 29322\n48050 51760\n21155 33916\n37879 50561\n15965 30050\n26122 40122\n13085 45091\n3948 12272\n4462 23837\n5002 50142\n35369 38926\n39886 41617\n2698 28357\n36248 51155\n25053 37274\n2609 23001\n29836 39685\n13871 27521\n4079 50157\n38057 39721\n2897 38961\n17683 24227\n8631 32197\n29322 34138\n37147 40600\n22924 44861\n15141 46697\n9264 44990\n3489 30807\n31850 39009\n627 29379\n3774 39291\n9311 25008\n9341 13889\n23166 44260\n11579 38820\n35830 46103\n23059 24213\n5590 40008\n2330 39462\n11538 15842\n32307 48969\n40089 50720\n2431 36216\n2167 12558\n32646 44694\n21691 43795\n28007 52058\n27463 27852\n17389 18672\n31266 34476\n17656 27404\n6174 43772\n27749 44357\n39465 50156\n2525 12206\n42740 53202\n29538 45086\n22182 31742\n1278 11674\n28991 31428\n29352 35160\n19997 22488\n33007 36021\n36440 46570\n4722 20121\n17309 53017\n35345 47281\n2923 33366\n6896 50025\n11726 18811\n7039 52178\n18250 51049\n6993 48150\n2035 38742\n32293 46227\n45930 51636\n30063 47442\n49381 51107\n6960 31931\n20747 37628\n1741 9186\n36468 42728\n9939 11405\n5896 38633\n5298 21848\n24161 40512\n6326 7789\n4284 13305\n29719 36837\n30102 47437\n3292 32434\n32292 34474\n20204 46365\n16500 48189\n9055 41716\n21492 46496\n3547 20804\n28609 39072\n22779 26857\n12286 41117\n14196 25872\n33526 48379\n39564 42786\n32968 38107\n1265 22530\n31008 46870\n27129 36685\n40106 47960\n17926 18652\n17437 39510\n12627 28579\n44242 50739\n46750 47203\n30179 31580\n12858 20061\n13726 27813\n23274 45491\n4051 6517\n8049 28178\n20897 41318\n40036 53308\n10140 30618\n4514 5631\n13307 15419\n2325 11314\n16611 39340\n10411 11747\n5548 9914\n349 53338\n1735 21190\n2205 48398\n38507 51111\n32939 44808\n39864 48669\n10961 42463\n29819 42463\n24874 47902\n33391 33840\n13439 40881\n20362 46674\n1245 39845\n22845 34851\n11814 37239\n2888 18591\n11474 15950\n14770 24998\n3384 22707\n9754 12821\n46805 52713\n29827 30530\n1425 53177\n18885 18889\n7254 52775\n22987 28928\n16623 33994\n10962 27955\n7708 41458\n32835 36426\n468 52470\n36023 46308\n22375 47291\n25243 30551\n11013 30417\n15172 42984\n23107 47607\n26513 45035\n6775 42607\n35680 52456\n22997 40684\n9724 21817\n12430 33876\n18614 45550\n6305 47626\n19725 22096\n713 45539\n14702 33703\n39382 49237\n8610 49354\n23309 29597\n7622 39072\n9725 47376\n11772 26326\n21128 34356\n24513 45635\n12688 37809\n17594 50560\n20655 52285\n27916 31159\n34012 48637\n10618 43919\n18439 24476\n30262 49472\n10439 33720\n16125 28047\n18419 18946\n36844 37971\n8146 26482\n14397 31118\n9215 31285\n22584 43995\n11478 33494\n10517 12082\n12145 13202\n12750 19526\n4387 37325\n3101 50289\n12884 19446\n8576 9739\n37761 50098\n30795 32300\n49578 53588\n18390 29574\n13397 15239\n7716 26254\n12590 43468\n42437 43022\n4982 39359\n7403 31912\n832 12544\n26794 28640\n1772 37476\n23139 39838\n18735 42462\n18790 43091\n822 5307\n39753 48231\n2740 8086\n44853 53836\n29431 29867\n22259 35184\n25613 38138\n29352 29374\n47285 52244\n34492 53618\n8693 23439\n2157 31065\n4621 11315\n10702 21481\n24000 26889\n1512 15197\n16690 35987\n25260 27170\n1056 32284\n20595 23217\n49705 53880\n14749 34217\n3710 20196\n44724 47609\n26063 31482\n44821 48976\n26716 27889\n7944 29527\n44746 52860\n20316 52184\n14519 53607\n9035 13912\n15775 39307\n9689 35957\n6571 7851\n33101 33722\n16256 17454\n15820 18825\n4829 40399\n4779 41663\n18497 21612\n18710 19651\n55 33542\n10886 18577\n39443 46286\n33800 42521\n18841 20862\n19985 34021\n24104 42499\n28740 43218\n12693 23513\n12709 31284\n10744 33029\n22369 36717\n31372 40128\n6354 18957\n15601 39743\n16637 36114\n8640 51043\n2553 19254\n13321 45795\n45408 47997\n6050 24315\n3104 20861\n24813 26225\n6092 51097\n21766 29756\n11426 38768\n14135 49852\n14476 37635\n13284 14494\n2006 13353\n11707 15945\n5786 23763\n27496 42536\n24038 30963\n47913 53116\n11474 53619\n1348 34233\n27995 35679\n13433 42847\n42782 50672\n387 29377\n37628 48802\n508 34871\n10351 43090\n4191 46278\n13639 50901\n27009 33406\n26491 45895\n17883 35731\n6364 44201\n11084 15047\n12359 34967\n9660 13511\n25761 37757\n1712 48745\n34183 51052\n23570 52658\n36175 48714\n48261 49738\n25785 27074\n36611 50589\n38085 50646\n28382 40845\n24891 38332\n1530 29142\n3698 34345\n15141 49739\n9061 52880\n35618 36874\n4631 37732\n42524 43369\n18302 37211\n2054 46530\n33851 36406\n13448 46811\n25008 34804\n15271 28206\n28488 50490\n25277 36325\n5306 11688\n4177 12974\n33879 35795\n34929 35531\n9580 22484\n34001 49258\n22214 47829\n19604 48783\n32627 42955\n17211 48430\n455 6938\n15014 23953\n33416 47136\n19915 50108\n4926 10656\n36831 50709\n9529 27582\n4548 24594\n25556 50675\n27124 31944\n20547 37071\n1575 36241\n2479 10114\n7519 53177\n15034 40691\n49651 53340\n20551 42479\n6369 20640\n5293 43499\n12118 27931\n971 24554\n21404 32887\n4613 31987\n16445 36616\n21479 49448\n34999 36406\n27494 37831\n31203 45079\n1600 5143\n25734 49936\n43959 50836\n4713 38451\n2608 43471\n28540 28984\n6103 23951\n17018 42130\n31737 48952\n23970 44613\n1116 5161\n6427 49767\n40127 47050\n4789 39083\n635 41844\n6906 32915\n34560 52295\n5031 23416\n3302 50128\n4790 9061\n25117 52417\n2824 21909\n10822 31374\n2714 35868\n22806 27265\n1819 21240\n24207 30105\n13266 32760\n1375 45544\n9971 35400\n14834 42907\n1541 12073\n8806 29827\n22526 51529\n16963 48123\n24884 31555\n27202 37013\n40984 52172\n39256 50682\n26404 51102\n17229 49314\n23556 44411\n21864 32720\n30050 40063\n19216 41442\n14120 37684\n43144 50472\n15974 26404\n3044 23312\n49541 53243\n20160 37922\n28281 53200\n29250 30537\n42610 43402\n27867 49221\n36682 37346\n28724 40478\n2802 5260\n33537 52356\n29916 30040\n23556 44888\n5769 28951\n46071 52152\n4990 45433\n31426 45284\n31213 37744\n14496 19637\n8673 43953\n32966 39352\n15669 29551\n4215 46104\n22972 26025\n561 31648\n26453 35293\n22441 32569\n10407 53766\n6294 18592\n32620 45842\n17172 20308\n17629 38646\n28340 44768\n11096 12299\n2042 9379\n26550 41776\n28761 44165\n20551 29036\n5708 23790\n8867 39630\n9918 35973\n22136 29823\n773 1300\n34508 39521\n5936 52299\n7335 29826\n46 25509\n17519 24361\n6462 44550\n899 11000\n23604 52259\n1854 14861\n18676 46127\n7322 25417\n24591 42207\n1161 14023\n3021 50062\n25559 26195\n2740 53913\n22061 28406\n2491 30823\n3642 43238\n16225 42547\n23815 41754\n9617 36512\n32147 46596\n37422 50454\n25688 37438\n28220 53867\n8965 51214\n26311 50764\n16658 35311\n38191 53765\n3855 16210\n18730 22842\n7465 29575\n8899 50110\n17265 41672\n30269 52106\n2819 48776\n30203 49591\n30054 31928\n1800 4984\n1675 41065\n27851 31665\n18487 49697\n36143 41874\n29695 43269\n27487 27949\n17635 20018\n26082 38677\n39362 46136\n20399 48633\n43952 48633\n17260 44053\n9522 45208\n32341 33060\n2135 20381\n22606 38454\n32934 37284\n251 7416\n43 52900\n859 14693\n48904 49170\n3451 45946\n13654 41653\n48006 51346\n15204 38597\n25064 43336\n2687 51781\n19859 47485\n6531 19806\n42003 46937\n29012 42674\n34128 40699\n7845 27720\n6372 51001\n36167 52639\n22853 26642\n24615 25614\n6564 8071\n43538 44804\n1264 15978\n19475 35019\n11486 14453\n31804 40850\n21101 39785\n46006 52103\n23591 32634\n38800 41978\n21493 30667\n13037 38163\n39412 42258\n7236 37054\n42107 48472\n41810 41832\n27077 44389\n17847 23789\n24185 43501\n4637 10320\n24945 53095\n18180 29950\n15151 19723\n1966 4262\n985 7747\n29624 36399\n11260 41398\n14016 49063\n1156 6553\n4573 24229\n11361 24822\n32786 51699\n21501 36969\n5503 36148\n5032 36066\n22376 25558\n22151 35243\n27526 27750\n7129 39449\n29886 32122\n33745 34868\n9875 16473\n29304 36699\n10652 32493\n6593 37742\n24503 35474\n24291 53382\n32586 39921\n3461 35264\n304 18949\n2448 5779\n3469 11585\n25512 33364\n40382 52916\n4634 18812\n7019 38499\n5250 53153\n40450 46433\n44847 46446\n2897 21404\n4753 14055\n3379 19035\n41350 53574\n31945 34903\n16408 31847\n38482 46076\n21108 46544\n11410 30776\n4079 39731\n2360 42917\n16976 44885\n20941 37963\n2779 6181\n17119 45976\n7231 15968\n14795 45106\n16997 23544\n15323 33086\n36346 41241\n48281 53765\n14781 48169\n30504 34872\n7093 10875\n23689 47150\n2872 9777\n12706 53416\n12256 46676\n39058 45757\n2498 32275\n40788 44153\n34162 41582\n12161 48766\n11047 47473\n18704 23696\n34976 35065\n2025 25928\n42986 50273\n13112 14534\n38288 48827\n24281 50427\n16867 41011\n2919 44286\n10000 49141\n3085 42629\n9435 36798\n4786 14872\n2891 29789\n8764 30605\n3786 6695\n16565 46283\n2060 9535\n37127 45162\n22799 28273\n34026 41871\n1126 5815\n18330 38624\n12077 34132\n40937 53643\n28790 49369\n8946 16786\n28010 34075\n16916 46463\n13318 35801\n5731 47098\n17379 23982\n13172 29635\n24612 31734\n12011 50948\n2763 18384\n31771 32646\n20486 43930\n14917 36307\n30777 47831\n7435 21073\n23509 30281\n19682 51466\n28031 44643\n12321 21318\n40049 53781\n16099 46936\n14334 17319\n28967 53566\n8914 50397\n21632 25253\n25840 40797\n11208 37171\n90 30336\n2327 11990\n6904 12719\n20836 31867\n2163 38938\n4099 14517\n29382 32918\n23950 43214\n15076 15225\n21341 22086\n21753 28094\n13008 22123\n5579 19434\n48757 50921\n10189 37203\n257 39850\n18031 50648\n11934 39785\n20033 36946\n9261 33632\n21173 33791\n10293 12483\n10769 25602\n9053 49671\n20472 39206\n25108 38134\n398 43624\n7333 34196\n48297 50209\n4939 29862\n27339 36849\n4668 8036\n470 19451\n21782 41293\n19565 23035\n11693 43567\n9392 17557\n15781 40389\n1377 18471\n5238 8111\n16252 48730\n10653 53288\n38387 42635\n18018 27112\n1571 39136\n14083 29344\n25482 35575\n29470 36287\n13916 33321\n1372 10150\n13800 35644\n6975 40357\n6445 14768\n8957 35511\n21614 30144\n37830 53257\n11104 49302\n8602 27305\n13030 49104\n6417 19640\n25128 45928\n6984 15170\n31397 32259\n7724 52150\n9413 17893\n2274 39595\n4271 42008\n18057 37127\n7643 13730\n51284 53793\n33594 34708\n36179 41702\n609 12365\n4130 11758\n15451 53711\n391 5911\n40457 43831\n30407 35528\n2374 48844\n11956 26902\n11917 36146\n18526 20037\n1308 43866\n16898 36934\n12641 42162\n3152 16326\n3375 52554\n21053 47878\n3158 53332\n31615 52035\n2492 22158\n1370 46573\n43441 50553\n13773 30549\n9076 49998\n873 22409\n26469 46450\n13055 33461\n5248 9864\n32406 43794\n48129 50138\n6188 11420\n25910 27126\n12416 29610\n22952 23322\n30484 32465\n27072 29239\n28256 34989\n12176 43526\n188 18127\n16410 29687\n8613 31194\n13429 19993\n4526 42696\n8436 39124\n15621 35709\n23752 35022\n25718 28253\n15720 38807\n34193 46439\n6625 15516\n26280 45645\n2033 3277\n40689 50674\n10999 16383\n21359 34278\n29439 37740\n31344 44383\n6099 19248\n2630 44607\n4961 22591\n13882 16792\n13755 29267\n31618 40737\n9478 43487\n37304 40456\n9057 28939\n12655 29321\n25872 31383\n9555 51157\n280 8501\n369 34144\n14385 38264\n26723 49581\n9641 49691\n32847 41190\n35357 53317\n18678 36259\n2893 23547\n33711 52439\n33583 43614\n9316 41115\n975 41215\n23839 50856\n27198 49176\n27119 47351\n1875 51796\n31593 48438\n7070 52737\n14527 41650\n17347 32874\n24707 40661\n1044 12505\n5964 31164\n44682 45054\n31540 48203\n30592 50250\n9170 33501\n30838 45075\n44279 45373\n16257 22879\n20268 23449\n12287 28024\n9420 30938\n2838 40726\n25090 31862\n7053 20131\n754 46312\n7800 53819\n25306 32732\n21966 49709\n47706 50069\n29739 31232\n25096 42172\n35595 46270\n8859 28473\n12294 27265\n11217 13312\n3840 15401\n34319 46522\n22267 32832\n7106 32561\n1580 51172\n32518 46785\n7334 42976\n1498 13262\n19399 37055\n18156 25498\n10763 31524\n27146 38730\n15074 15462\n1246 10421\n24736 53084\n14349 32820\n27447 44903\n7499 25056\n32336 52902\n20923 33790\n18461 52627\n10350 24822\n12290 32552\n21668 28325\n2874 7319\n2839 11663\n9685 10822\n28564 33145\n9247 48928\n16183 44602\n11450 19039\n18952 29564\n17206 52094\n29455 35106\n741 39794\n5873 15219\n17577 36088\n16665 18324\n17874 27680\n6795 47801\n8769 31721\n10557 39609\n1967 13635\n40303 42961\n8793 25240\n15785 32306\n4096 24789\n37286 53009\n7955 21041\n5296 22426\n31307 37714\n11493 17064\n5866 31763\n17466 47086\n6977 11994\n8699 45698\n13504 50340\n35428 42070\n41941 48977\n10746 18859\n24093 48787\n31158 36151\n12257 18637\n16630 49112\n19076 35901\n22731 45784\n2183 18808\n18861 52846\n33459 53577\n2423 44270\n7486 13518\n41854 51511\n26267 38483\n13141 15241\n23808 37506\n22020 44169\n50085 51570\n10813 40129\n343 50262\n43453 53135\n25230 31506\n35488 46916\n2704 28355\n26000 42392\n10699 41011\n12430 45019\n14234 21898\n24324 39428\n3556 5980\n29375 51961\n43272 44477\n426 30864\n7829 18405\n8401 19897\n33178 51195\n23978 37079\n686 31672\n15861 24257\n27550 33531\n45730 52399\n34464 39739\n19952 31795\n16994 43511\n46955 49439\n17315 24384\n26898 41266\n23788 39351\n30181 50506\n30478 48980\n30975 49025\n35531 43545\n16363 43559\n4850 51583\n1008 38876\n40995 52652\n11365 27051\n1303 33028\n37128 38913\n10374 17266\n4153 24744\n27796 51974\n22682 44838\n24740 30655\n5187 43956\n6641 53909\n21861 34516\n17000 31712\n2392 33668\n26026 51894\n29197 50239\n28381 34030\n18133 25189\n9781 25772\n26954 52871\n848 4258\n33097 40919\n12071 48527\n7109 22228\n8306 22350\n619 8934\n30302 46929\n35972 36541\n5380 31370\n610 35594\n18255 24424\n5401 53493\n41260 51591\n27334 46480\n18594 43980\n17150 44997\n15400 34615\n40669 46796\n5539 41106\n3116 46812\n26756 49955\n34774 46438\n20722 45885\n25276 27766\n5543 37963\n4063 32826\n6617 8026\n30941 44570\n1133 17496\n13365 29065\n13224 14989\n6457 22999\n19463 51927\n11707 22724\n4924 23751\n24441 42439\n15150 24878\n1461 36428\n25420 27961\n3336 18574\n27125 32351\n14098 25662\n11361 48936\n12325 37886\n27673 32345\n15686 52107\n8904 41114\n7244 32465\n2769 29399\n19565 33171\n2854 37662\n38191 49111\n21386 41972\n23530 41218\n34468 38122\n24324 36601\n39462 47422\n18236 27030\n37802 45672\n4106 38319\n28267 42791\n14582 27210\n9201 49222\n13214 41005\n14272 47440\n1439 39969\n5974 41419\n32598 53752\n18214 21330\n37003 46685\n38786 44185\n12190 29273\n10713 22901\n15718 23922\n40602 50835\n27604 32404\n21697 37192\n11364 22497\n6851 43496\n1016 43966\n29099 41429\n13559 36503\n14249 25583\n17606 40204\n23834 46905\n20357 35036\n19118 26925\n1556 14271\n19779 33432\n15868 39017\n760 16602\n14713 31412\n34306 35707\n39742 44180\n8621 53050\n15259 25463\n24637 34643\n3114 32830\n31423 44900\n1695 43262\n3063 15632\n6844 23763\n24839 40407\n33434 41655\n26347 43647\n1498 28727\n18982 29679\n8229 50798\n24904 46676\n8661 52578\n51854 52289\n5375 21521\n2899 51988\n2164 38372\n20360 40948\n11633 15260\n10944 42280\n17827 31677\n22401 39917\n9048 14696\n17731 48028\n1751 44862\n15774 42175\n7190 13305\n19674 40457\n7560 30053\n33848 35466\n3652 33069\n26547 53801\n19790 24689\n2743 37257\n24419 32025\n29974 44638\n14351 29646\n4715 16926\n13415 38379\n39798 47286\n24281 52710\n9910 38120\n25077 45526\n23127 46833\n4769 48406\n8658 38965\n17165 20520\n16082 40169\n5557 28180\n53257 53689\n12042 37017\n25088 27648\n36482 49059\n32341 33531\n18187 23517\n29918 39359\n14466 49080\n5682 40129\n7195 43074\n20082 41863\n7166 21388\n27963 51072\n8643 34555\n24257 40134\n3497 25634\n12 22338\n3726 41583\n22914 35889\n1823 15393\n22389 40557\n20663 34205\n31673 34805\n4232 13338\n20203 48787\n22682 33320\n35277 50607\n1992 19610\n19034 25301\n39180 40049\n42341 48308\n5781 53417\n36853 47002\n1862 17300\n18971 37589\n7342 24777\n24203 39881\n5115 21626\n10266 46832\n375 1194\n23896 37541\n19933 39669\n4064 8644\n",
        "output": "120\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 87,
        "task_id": 541,
        "test_case_id": 20,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "20289 78356\n15324 20162\n2209 17880\n5490 19540\n117 19391\n416 13724\n8739 19133\n10884 12669\n6804 17419\n7945 16887\n13407 15963\n2674 3485\n6994 7631\n10169 16047\n717 18388\n16852 17133\n3220 9758\n416 19719\n15206 18532\n6531 14501\n1738 6720\n773 13818\n15185 18500\n8460 16680\n17730 20019\n9559 10440\n17275 19889\n3799 14121\n7927 16110\n10329 18401\n6138 12426\n2205 3132\n7791 9905\n1295 14476\n667 14526\n16058 16168\n13722 14811\n14094 16544\n1149 4958\n11065 12385\n1912 17830\n6980 11234\n10969 16240\n8183 14879\n7224 7483\n897 1882\n9199 20224\n11568 18338\n3397 18306\n16725 16975\n12049 13073\n7163 16855\n9476 11632\n7393 11304\n4415 17816\n2012 11628\n28 13399\n2083 4340\n11451 18467\n8309 10240\n7121 12125\n1399 18870\n8924 14582\n15506 16243\n1776 11239\n3578 4070\n630 13098\n7622 18126\n7660 12708\n10371 10541\n4201 15240\n216 18011\n7499 18794\n1381 8065\n16639 19508\n4032 14976\n4781 7957\n18629 19084\n1918 12480\n4176 13850\n6162 6754\n12099 13510\n9595 14303\n16096 18396\n1203 13471\n325 10760\n10397 17495\n11981 19323\n14772 17237\n2771 15471\n1541 15197\n6919 19107\n4394 15762\n8877 13702\n19475 20159\n465 17893\n10705 11133\n8166 16631\n13959 18158\n12126 19721\n667 9992\n14975 19233\n5806 14120\n18905 19140\n6714 16758\n44 14253\n2550 6933\n11302 12844\n8268 12759\n12002 19422\n2646 8434\n1597 5869\n17681 19750\n5909 15823\n15383 16543\n8062 8388\n14677 15184\n8455 16099\n11702 13651\n2794 19653\n718 9495\n10633 12333\n5757 9679\n1019 5719\n952 4572\n6178 14237\n1180 16556\n4239 12309\n2389 11750\n4423 10727\n12930 17377\n15276 19612\n15998 20033\n3936 16304\n953 5463\n8881 20161\n4485 11634\n6226 7711\n5183 19576\n5407 13891\n13781 15884\n10481 10727\n4460 5877\n15193 19749\n2106 4802\n13055 16244\n14816 19448\n7229 16148\n2660 13500\n804 6695\n10046 12752\n3162 5193\n5033 7288\n4712 18135\n41 14652\n10224 19213\n2586 14660\n9545 16710\n1473 11219\n18791 20124\n16763 18867\n5713 15658\n3763 14231\n1001 6475\n7875 10315\n312 13246\n11143 13208\n4654 7341\n12224 16925\n1110 6621\n3807 11390\n3893 6116\n12995 18993\n863 1938\n1643 5264\n1979 2441\n4155 15149\n6365 6937\n10500 10882\n15621 19994\n1964 15082\n9 7682\n1246 9560\n2848 17931\n11423 17837\n3072 10631\n14362 14647\n7275 14275\n12809 17966\n17939 20251\n10759 18836\n3542 12127\n10912 19980\n962 1651\n4392 7150\n1086 6499\n281 16747\n5310 16920\n9574 12954\n11670 15122\n6572 8601\n3070 6141\n1427 14021\n3179 17317\n12383 18314\n2861 13752\n1204 15534\n9296 10828\n4795 18511\n5109 19703\n7642 12217\n17037 19323\n664 12890\n14024 15760\n6035 7445\n1083 8203\n7819 10074\n11402 14888\n13106 17671\n14715 17695\n935 9890\n10374 18305\n943 14916\n1329 2106\n5384 16000\n7958 17350\n7828 13317\n9635 14161\n9381 9905\n3444 17071\n5861 18173\n9127 15337\n9900 15485\n7849 11846\n10133 14442\n767 5136\n252 17945\n11558 15630\n15780 18663\n2924 10914\n1479 12227\n1829 8432\n8410 12920\n15745 16495\n6166 18229\n5578 9690\n2059 7246\n4197 16634\n17893 18360\n14336 14591\n15233 15414\n2433 14289\n16003 20188\n14231 14524\n1890 18130\n8518 11914\n12000 13492\n2315 6516\n8455 10915\n9752 13702\n4181 7909\n1231 13662\n10349 16016\n12427 19744\n737 17124\n5452 12382\n17917 18862\n5735 13780\n5466 19499\n6138 14932\n11426 11519\n7634 19063\n4785 13849\n8827 15873\n6682 6823\n9773 12249\n118 15171\n4775 8421\n155 19668\n3897 10836\n2643 10707\n15012 17815\n5613 11956\n4532 11372\n4429 10976\n10854 19337\n3416 6242\n3789 13337\n979 7319\n18120 19059\n5159 12794\n4976 16909\n11735 17578\n3763 15637\n2394 7352\n7572 10723\n16373 16957\n591 843\n10257 13538\n11603 13828\n5171 14016\n10417 19851\n8471 10167\n14351 18654\n9009 12918\n5753 8346\n11223 12421\n4927 19690\n7043 7749\n1372 16660\n6338 19548\n4824 8399\n10547 19402\n265 16793\n14267 17804\n13604 19003\n4433 12999\n18374 19701\n230 8787\n5853 17512\n1082 16340\n1151 4426\n7602 17327\n3032 13022\n14523 14796\n1957 3056\n13408 16226\n1011 7581\n850 5572\n952 4167\n5366 17121\n12506 19693\n480 16564\n3548 20096\n3867 13535\n6251 7215\n6036 16424\n6008 14742\n8848 10778\n1475 13538\n2282 15002\n12577 20280\n4582 18170\n6807 11341\n9004 15590\n7124 8819\n2909 15268\n8421 16471\n2169 19308\n6761 14479\n9000 11245\n8331 12332\n1534 12054\n2669 2729\n1863 14222\n6835 13434\n12637 19454\n5031 14591\n1074 18890\n13811 18621\n8409 8838\n13203 15466\n10276 12283\n15438 17411\n1400 3052\n15923 17517\n4644 13874\n659 16563\n7160 12770\n7971 13613\n106 13609\n3865 19333\n12941 19632\n4685 13534\n13409 14495\n2918 15447\n12079 13050\n5837 14807\n16159 19771\n1580 19122\n7494 17660\n1756 7044\n7692 16670\n13160 19589\n14125 19201\n1785 16137\n14205 14265\n8688 14581\n11875 14782\n9990 13920\n14109 19304\n5774 19902\n4382 14011\n3122 10388\n1140 13022\n6264 15921\n9055 19239\n9356 12816\n8625 18260\n8497 15945\n9407 15874\n2261 11118\n1810 12592\n5252 12703\n1812 11074\n4923 12139\n2030 6299\n79 7895\n6051 19803\n383 7690\n861 17996\n6071 17357\n5024 8129\n9903 19526\n12953 19942\n7742 8187\n8297 14315\n6165 15030\n6992 15703\n16618 19354\n11926 14392\n11921 20094\n2824 10560\n1373 19787\n8127 14279\n13759 16616\n5157 13355\n13185 17173\n1594 10422\n1501 3111\n8554 16453\n1278 9515\n6393 7718\n4852 6004\n4662 7479\n10076 10208\n15952 17312\n6097 6407\n15201 19007\n6004 19308\n8073 19741\n1544 1677\n7685 20242\n12661 14284\n10880 16191\n14259 18182\n2982 19312\n348 14375\n688 7260\n4086 12730\n2051 2828\n2335 4205\n9528 9966\n9531 15102\n12703 14629\n5331 15438\n7876 18737\n1943 11127\n10423 16712\n9998 15862\n6256 15568\n264 13257\n6776 17316\n11841 16091\n5691 6766\n7733 8765\n4141 4557\n8056 18365\n9190 19948\n6222 8043\n10784 11627\n5394 14945\n1508 3214\n1386 6930\n15873 17455\n6110 15266\n14024 15906\n1287 9141\n5705 13409\n1166 17782\n14353 17809\n813 15290\n1339 13008\n1181 18568\n2002 2843\n1288 12300\n8103 9274\n5296 8593\n8893 9965\n11149 14187\n1591 10263\n1903 16945\n3715 4694\n1102 1377\n15475 16420\n5535 10654\n3687 6351\n1302 10096\n8168 17713\n2895 14039\n5434 12610\n11725 13976\n9205 15153\n16089 19557\n4271 19176\n404 8166\n13100 14169\n10785 16088\n2529 16280\n1614 12233\n2011 9866\n8634 15255\n8141 17464\n8621 20105\n13186 17188\n4444 9133\n7337 15200\n4801 10898\n11510 16170\n2526 11330\n9924 18308\n1214 2990\n13646 17220\n4397 15014\n1370 5101\n4523 17965\n4103 12065\n1324 8441\n5630 16882\n11271 15587\n7751 17821\n283 18875\n801 16148\n13643 13646\n1323 6034\n164 5754\n14028 15162\n9788 16017\n4878 19903\n10681 19894\n3365 9803\n4323 13206\n5056 6178\n329 5464\n7179 19529\n2810 9251\n5265 5379\n2374 18623\n14982 19412\n11582 16694\n17235 17746\n11760 18775\n5364 16100\n8625 14013\n11793 15403\n3286 15202\n999 11042\n7132 15973\n5146 17060\n4393 16817\n2610 17846\n5995 9848\n5165 19443\n3167 5855\n3020 18752\n4043 7094\n5521 15519\n12888 16876\n15760 20225\n10179 16816\n5947 15266\n5681 12020\n3486 10179\n15454 18851\n15463 17445\n12966 14398\n1523 9406\n3320 7425\n14759 18436\n5242 12086\n9027 20232\n6521 18000\n3194 11657\n6182 13299\n15077 19797\n7420 11808\n18554 19284\n6453 16810\n10524 11116\n2789 12672\n2828 17508\n4303 8425\n4176 17820\n14872 15797\n1897 15846\n6618 10548\n4871 9015\n2425 18006\n4262 4349\n4727 5761\n4629 17189\n4462 14072\n8825 11767\n2621 9894\n15340 19902\n4734 19589\n13932 14889\n4778 15270\n6920 12699\n764 12567\n2987 19693\n115 12802\n12329 12687\n7139 11039\n15139 18815\n13504 13640\n1598 13555\n6609 12314\n5600 16238\n9 3595\n8166 14241\n10923 13673\n11699 16441\n788 1883\n14724 17800\n14538 16793\n4427 17298\n2348 5767\n3746 16758\n619 13086\n15825 20252\n3236 18592\n3762 4467\n12362 14826\n3235 8407\n8016 16757\n16863 19583\n8206 12667\n1857 14644\n1128 4666\n6597 9811\n12681 18187\n4309 15444\n14318 19610\n6849 18764\n12637 14831\n9618 10324\n12256 20201\n1868 2038\n3246 13978\n13222 16185\n5053 15580\n8903 13061\n5794 17985\n642 16615\n7126 12966\n6447 8694\n4039 12140\n872 10508\n9873 19118\n1142 12357\n2989 3196\n13928 15217\n3906 8482\n4930 5021\n74 19016\n1305 8635\n11881 12016\n3559 19331\n13707 18060\n9895 10123\n6319 17731\n14804 17895\n16582 18253\n11183 16676\n201 15559\n10782 12646\n4155 7183\n3002 15704\n7002 18601\n16371 17314\n1411 18876\n10692 13667\n3414 4103\n355 19678\n2274 9430\n9731 11824\n163 1647\n275 7059\n7239 7679\n17514 20028\n3186 19706\n4401 9860\n10827 10926\n6140 20017\n6422 13719\n1362 17610\n12062 17216\n15611 16427\n14536 15924\n7606 15705\n959 5957\n9294 19683\n7278 13045\n11378 16679\n4052 14531\n3021 4265\n5893 11863\n712 8765\n14505 16381\n11047 18580\n14695 18959\n6259 6311\n10365 15832\n1102 19897\n6105 11545\n13151 17993\n12849 17644\n13363 14548\n14211 15133\n9263 13486\n4761 7423\n2348 13267\n6815 7648\n4383 20112\n1702 17454\n4762 6340\n7156 11772\n8028 15199\n11418 12136\n4601 17828\n18041 19118\n5913 12459\n4508 8730\n10389 16520\n13630 19364\n9726 17651\n5237 15888\n3682 6028\n8615 13493\n16669 16935\n10251 11954\n8122 13805\n4170 18408\n14432 16017\n9264 13165\n279 15752\n3629 13908\n1710 6084\n8877 12179\n6571 10296\n7214 9391\n4378 18295\n1802 3694\n4532 9387\n11558 16693\n2233 9223\n9514 11326\n1833 3350\n14752 18584\n2603 15682\n2792 3075\n8929 9841\n3178 13001\n3063 12560\n13164 18658\n7884 9589\n3228 5629\n3096 10689\n4866 17029\n2878 16161\n7796 17669\n6066 12637\n16677 16825\n6320 6812\n2999 17136\n13978 18617\n4058 4207\n10718 16795\n3587 5313\n7405 17061\n4819 7945\n2872 18036\n10006 15177\n4724 12461\n3464 16582\n15358 19635\n3750 14246\n11332 16161\n7302 17475\n977 15787\n121 3661\n13677 17874\n7645 13656\n11310 14918\n2627 20214\n4252 12789\n8257 18779\n10998 11083\n7159 8256\n5425 9762\n7549 9268\n2972 11382\n3067 10442\n11692 15803\n10924 14664\n3257 17446\n5682 11209\n6842 16711\n13525 17456\n10849 11455\n8350 16945\n10607 12490\n2791 8342\n3549 7997\n1375 14982\n9634 14406\n240 3457\n1902 15082\n1502 7208\n3003 6238\n8765 16774\n9003 16477\n985 9178\n13069 15951\n3478 13837\n9838 17866\n11280 13300\n3133 6361\n653 12037\n10785 17609\n274 6492\n17831 18774\n4361 18145\n5399 9274\n7647 15102\n13704 17083\n896 18037\n3749 19380\n3235 14208\n13615 17194\n6386 14382\n3060 13169\n17150 17945\n9687 13649\n8067 12149\n7529 14677\n7464 14948\n10358 15512\n4069 17300\n13003 14616\n1934 13759\n8137 17588\n741 2422\n1094 13864\n14201 19778\n19014 20262\n5350 6014\n3917 14581\n137 20168\n9229 12000\n12332 19668\n6253 12124\n5779 13066\n487 14128\n4610 12955\n4601 14027\n15370 16378\n1457 8947\n1102 16917\n5344 20109\n10902 19850\n16979 19131\n579 13486\n5892 15961\n10321 15229\n2914 4868\n3198 9867\n3008 11168\n3729 18195\n3572 9534\n8719 18696\n1208 18071\n12587 13471\n2379 5976\n6584 7342\n8368 15755\n2338 11113\n7568 9824\n897 1830\n6918 6936\n1925 17933\n2330 18352\n3027 14799\n7474 15085\n18096 20152\n11638 16717\n8281 9746\n5333 6714\n6890 18531\n111 7357\n14733 17480\n4157 14976\n2455 17592\n4166 9222\n1904 2571\n5342 18585\n11884 18202\n18875 19466\n8938 14467\n7229 20206\n8250 13355\n4597 10051\n2857 14843\n8637 10115\n10016 13826\n2893 16039\n4690 15096\n1000 14585\n3263 19768\n5610 10947\n9776 17026\n17561 17646\n10478 13935\n2251 8146\n1200 8863\n9551 15563\n6386 19992\n2407 11201\n10029 13942\n14583 16768\n11019 18024\n4345 11935\n15382 18528\n5435 7124\n11108 16254\n2983 19215\n9122 16662\n3564 4321\n9382 17307\n17827 18912\n7691 15551\n8241 12670\n2724 11781\n13194 19942\n4322 8261\n3735 19896\n662 3965\n11228 16612\n3070 16083\n7414 11215\n7674 12303\n9565 15755\n12629 19518\n3544 13807\n19227 19960\n5008 7713\n9822 17605\n9495 14648\n5152 18763\n2175 10350\n13348 19246\n12790 14103\n6064 12467\n7307 19701\n4289 15281\n4145 7266\n8026 16397\n6198 12874\n3810 14455\n8696 13977\n12861 19450\n6109 11343\n10489 15004\n10472 16173\n4697 6649\n9972 10817\n3140 10273\n2166 17611\n12681 16512\n10313 14757\n16762 17423\n8196 13404\n10491 17857\n878 1210\n14203 14377\n12875 14554\n12583 17999\n182 18625\n9057 18267\n2785 2826\n2583 6517\n11734 13515\n7315 12834\n14268 18488\n14782 19039\n7442 7791\n12033 13888\n603 16657\n11957 15289\n15042 19069\n719 2738\n5644 19304\n964 3141\n1468 11401\n8520 18817\n9833 19105\n2133 3428\n1547 5747\n3685 14267\n2780 3409\n8883 14132\n3308 10353\n12423 19275\n9368 20089\n7402 11935\n14178 15706\n18143 19493\n17821 19914\n5627 5828\n8134 15922\n818 1861\n7786 16607\n724 10717\n12895 12935\n18942 19902\n8608 14912\n4502 19960\n11679 18872\n6477 9858\n12888 19776\n5597 8146\n5611 20055\n13698 18589\n7413 16221\n6121 8698\n3471 18698\n443 13656\n153 7885\n406 4552\n4856 19290\n3849 12682\n290 11425\n8485 17138\n15244 19178\n5721 16224\n17327 19024\n6549 12883\n15215 17384\n14688 15765\n4274 5696\n3437 16287\n10837 19887\n10707 19941\n10638 11552\n4617 14342\n7881 14247\n7918 20168\n8760 11863\n2575 4490\n11370 12206\n17214 17993\n5722 12354\n480 14388\n16881 18155\n1557 17219\n8035 14704\n14767 17713\n2020 2650\n8919 16650\n15549 19671\n7666 19529\n6820 17117\n4072 7541\n868 9255\n11823 13052\n4026 13594\n11323 15462\n4059 16268\n15983 19124\n9008 18905\n18452 19033\n1801 3955\n4299 14030\n2540 4983\n14241 18534\n2816 17952\n6145 15057\n158 3656\n1407 5585\n1965 9938\n4686 6672\n5991 14021\n5860 16532\n7020 16060\n2832 10358\n174 7367\n6547 8669\n7032 10842\n9224 11090\n15663 18865\n8204 15645\n12491 13575\n9228 16466\n8286 15346\n1553 2663\n3 20267\n4633 10933\n5600 10609\n4160 15696\n8793 15980\n2093 8600\n1556 10761\n1598 2634\n5648 11864\n18679 19220\n10509 15358\n14226 17434\n9877 19279\n1950 7527\n1601 5846\n4524 16845\n499 6789\n14839 19240\n5727 8491\n8939 19848\n15883 16328\n17042 18484\n2735 4550\n15775 19020\n6854 15940\n3925 6382\n2506 12332\n11929 19995\n6702 17154\n298 18865\n14266 17285\n386 16365\n11513 17306\n4245 6591\n2695 5858\n1607 15511\n10790 19738\n14364 16999\n14897 15545\n19033 20017\n3595 10722\n10027 18408\n11877 14553\n6415 8351\n10735 15646\n9247 14616\n11330 12658\n4456 10748\n7793 19136\n5636 12836\n12931 17676\n7632 19563\n12153 16519\n13076 19393\n11964 12678\n7280 9366\n9998 16512\n16346 19304\n6677 10000\n5182 16121\n3437 10860\n1120 10009\n5927 12468\n6948 18990\n16664 18920\n1519 2505\n16410 19292\n392 11008\n11039 12245\n13230 17432\n5807 10392\n8639 10385\n14119 19202\n4884 11117\n9320 9905\n8301 19322\n112 14501\n1080 7802\n5431 13299\n10198 10476\n12636 13858\n8709 10927\n4135 5459\n9249 14219\n985 20016\n6222 15294\n2061 12546\n8913 12167\n17846 20125\n6213 11120\n691 12477\n13311 19702\n4163 13360\n8227 10799\n3987 8478\n650 9215\n270 1822\n5504 7129\n3707 15446\n1072 5937\n796 12146\n10180 10468\n2959 8838\n1796 17155\n1717 17837\n15584 17757\n3024 6102\n8285 10716\n4558 10518\n11274 12718\n12053 17657\n5118 14577\n620 8183\n13715 15028\n15930 18493\n16981 17795\n3006 7385\n9346 20174\n183 279\n6429 19322\n806 7340\n1585 15201\n17510 18156\n11969 18958\n3128 12031\n3759 5253\n118 17047\n2084 5846\n15658 16430\n10773 18830\n8849 13554\n10641 17182\n16087 20183\n879 6617\n9763 10159\n137 9091\n7110 9841\n1804 9632\n7089 11154\n529 10547\n10334 11220\n14887 18146\n4968 14838\n3965 17032\n1599 17602\n6537 9215\n945 3969\n4959 14468\n3881 8419\n9136 13656\n14328 16857\n4228 13908\n11286 18012\n2143 6746\n980 8405\n86 9913\n1970 13424\n13600 19553\n4884 7496\n6003 19722\n12025 13411\n981 15539\n5938 8478\n8782 13318\n6153 10003\n2723 13808\n714 15008\n532 10909\n6533 15885\n1671 7565\n6852 16714\n5728 8402\n454 15791\n2068 11984\n2585 11559\n6607 18184\n2978 13691\n3437 18662\n1500 16189\n11359 17086\n17306 19938\n8526 9001\n8538 9469\n1278 12737\n5943 6939\n18217 18741\n7680 8067\n10288 14690\n3781 5508\n9130 9158\n549 9311\n4809 14754\n1674 17354\n6690 9449\n3569 12064\n628 20197\n8414 12250\n799 8096\n7380 18867\n2280 16636\n4216 8170\n1648 17453\n4485 11660\n9171 19374\n9585 17865\n6840 8153\n14020 17686\n7078 10437\n9845 20253\n5594 17284\n2084 2829\n4792 7064\n1170 6851\n3800 17979\n8554 16593\n299 7220\n11923 19956\n10546 11635\n3642 11095\n5352 12273\n2943 4790\n3164 13028\n1121 10674\n11516 19365\n4945 7945\n9813 10055\n479 17670\n6597 12806\n8620 20206\n5869 13795\n10772 12296\n3954 19860\n7778 17645\n13324 19176\n7233 20039\n16880 20053\n1215 18791\n9865 10352\n12499 16407\n1774 17213\n10499 18696\n5152 8334\n4591 4889\n4071 17658\n7197 12846\n3483 10627\n2787 10713\n4461 6262\n3345 14979\n1249 16784\n1096 2471\n7423 9478\n263 18951\n3387 13479\n2128 6446\n630 1629\n11297 14267\n14456 20260\n5679 13265\n5413 9791\n1664 16120\n6475 10813\n18785 20005\n10893 13336\n12151 16801\n291 17167\n9919 20084\n5473 10866\n8338 15292\n14448 18165\n1355 17414\n2159 14383\n2829 19071\n2194 8666\n3132 10012\n13691 18374\n8376 11909\n10288 13833\n248 9446\n5514 20262\n2364 12374\n8170 14412\n9280 9519\n6789 12122\n12082 19288\n2893 5059\n4602 12199\n1790 13145\n12959 16565\n2975 16545\n85 18883\n13817 16268\n4956 10258\n2606 19505\n1508 5771\n7298 17012\n3356 4889\n4034 12304\n3130 16995\n5303 7309\n4664 13414\n7089 11635\n11030 17574\n1059 13200\n14425 17407\n10528 13423\n2023 17723\n6629 8825\n13602 15292\n8981 18459\n2287 19586\n5251 13241\n389 1564\n9233 18283\n7057 16915\n3717 7121\n14006 15959\n9976 12666\n14187 17002\n2960 15538\n17583 19287\n2818 10019\n7487 8454\n4320 5392\n686 18629\n2524 17376\n15485 16930\n8713 10997\n6373 15041\n17266 20020\n2231 6854\n10550 18411\n15416 18666\n6684 15895\n11397 14162\n6239 15988\n624 9309\n6624 15411\n1409 20230\n4758 18121\n3315 6693\n544 771\n6115 17335\n5350 9672\n5594 10362\n7493 9487\n10479 14109\n1708 14782\n487 10715\n763 15164\n2037 2781\n9457 18956\n12763 16972\n11776 15041\n5409 10949\n3753 18552\n4978 12718\n1570 6710\n9798 19030\n14434 15285\n6657 11958\n2557 20029\n9237 18189\n3846 12909\n5726 19973\n1705 3413\n13300 19501\n8977 19449\n10782 16731\n4255 5567\n4932 17474\n848 7032\n4143 11167\n15025 16635\n8163 19064\n1564 12468\n7889 19439\n115 6103\n3332 17208\n7341 15268\n6773 10467\n8437 11739\n3839 12822\n8095 8935\n577 19986\n9688 16310\n8061 16647\n3293 7119\n3992 9549\n4202 19876\n5628 5819\n3641 14553\n2024 6956\n7221 18594\n1498 8317\n12030 18702\n331 15378\n17065 17206\n13512 18217\n483 15969\n2712 3689\n2306 6757\n16929 17928\n2495 13456\n10003 14608\n3609 17945\n4556 18124\n5225 5849\n2729 7345\n10617 14746\n3139 17434\n10671 14661\n5474 18692\n2833 12522\n2340 7563\n8054 17578\n2091 10423\n4736 11917\n852 13301\n15038 15769\n11984 14577\n4240 10303\n5895 15221\n3192 19086\n5397 20019\n17162 18299\n19695 19980\n12619 20246\n6944 18668\n4494 12251\n6973 15546\n9352 11793\n868 1088\n15523 15783\n6821 8886\n3874 9205\n11881 14854\n952 18627\n6866 11456\n7352 13358\n196 2494\n8284 10231\n8993 16914\n4855 16606\n5062 9609\n4633 10049\n8428 20121\n10449 13582\n18129 19617\n6247 9205\n6871 7285\n3928 10679\n3102 9924\n7660 12697\n7181 15638\n6032 13074\n9089 13837\n11822 19309\n11990 16309\n8150 19352\n6383 19049\n14920 18131\n13975 17285\n6698 15013\n6249 10953\n1169 11970\n2186 18662\n13152 14692\n16171 16276\n12857 17761\n9895 17786\n8394 18540\n17250 20051\n4212 13134\n9425 12642\n13782 20280\n3829 18857\n196 12179\n2080 4892\n2212 2749\n11898 16646\n7014 13403\n9609 13535\n15677 17460\n2 7982\n8065 11940\n7778 12819\n2412 2648\n2991 9036\n10585 17162\n9103 15135\n6561 12350\n12699 17824\n11291 18908\n7545 18065\n1416 7813\n6529 14203\n1005 4096\n4702 16721\n6409 9247\n5370 9597\n15118 15839\n18939 19769\n17281 19891\n10041 13862\n2147 19357\n10123 12809\n12932 15351\n5857 16823\n5396 12659\n7799 9986\n4036 20219\n2094 7814\n6385 11268\n6324 12506\n16509 18447\n2793 7000\n9622 9686\n2200 11567\n3257 20002\n3647 7224\n10603 18995\n10319 18757\n12528 19932\n6018 18234\n2930 14053\n2632 18918\n18049 18252\n2739 18860\n1118 13711\n10572 19155\n16219 17167\n16667 18744\n4889 10310\n3600 13034\n11463 18437\n1158 7187\n1297 13323\n3844 13224\n4307 5632\n3341 12141\n13176 18165\n10353 14069\n1053 12499\n7986 9296\n4053 10391\n158 7629\n7230 17420\n13693 16614\n8118 19355\n404 4281\n4315 11257\n4779 7384\n16798 17028\n7392 9650\n4870 20278\n9606 19574\n9473 20190\n7547 15878\n4023 6592\n3064 17128\n5870 15922\n6974 10860\n2327 18185\n9283 13794\n3424 13961\n7355 17784\n2947 11311\n709 9636\n9558 12849\n11280 18001\n15160 20003\n582 17977\n10524 19241\n4560 5588\n13686 15742\n13794 14743\n11738 16044\n5991 6204\n2609 17585\n5120 8599\n1583 17442\n415 2358\n257 12296\n17890 20218\n263 2124\n377 13487\n11686 19263\n16222 18002\n1615 3176\n7543 10829\n13585 17065\n126 19905\n8032 14004\n11718 13312\n1759 20191\n15859 19042\n769 17867\n8474 10653\n4501 4773\n9564 14001\n3710 14596\n2690 15001\n3281 19215\n9679 19780\n6480 8512\n15794 19389\n11357 17574\n1843 15902\n135 2337\n8395 10439\n4294 6647\n9266 18887\n9132 19100\n12178 18691\n3961 15106\n5744 15842\n11532 15574\n17918 18923\n983 10890\n10912 20227\n12795 18995\n962 14161\n3329 9722\n10785 15904\n4944 9830\n2370 3944\n3608 4692\n4227 9840\n7932 9690\n405 8290\n4302 8357\n6246 14218\n4066 4168\n9727 19455\n2391 6973\n7484 19569\n938 16280\n4439 5217\n6676 12097\n8771 19600\n6441 6668\n7469 10635\n3957 15591\n8038 19735\n3415 18150\n3388 20149\n12132 19436\n912 4875\n492 11798\n5668 17446\n821 10284\n4210 19905\n11651 11789\n1960 16555\n12571 16683\n7906 17892\n3776 19950\n11373 14730\n9086 16209\n11026 17197\n275 16693\n6043 12440\n6293 16603\n10187 19577\n7387 12289\n3710 6753\n3272 9028\n16012 17123\n2336 19549\n5458 17174\n12551 16796\n6730 16537\n6496 13340\n261 3091\n8801 10370\n6748 10775\n735 16699\n8562 17851\n6395 8521\n5855 6421\n13333 14678\n14781 15681\n5825 18097\n6375 12400\n9043 19118\n3216 6814\n11324 15727\n8252 13650\n3285 10760\n5391 9393\n6931 16701\n1916 2174\n8622 20164\n3354 19396\n16160 17584\n7998 13773\n10395 14688\n14522 18618\n2513 19058\n4178 19292\n7884 13800\n8594 9632\n968 17968\n9383 15585\n2057 4027\n6629 10909\n10659 18250\n4657 16437\n11373 18945\n341 9434\n8406 9386\n4683 16144\n3680 6875\n680 18266\n17888 19436\n3107 19385\n7192 11231\n3275 9332\n981 3404\n10158 17260\n9969 12671\n1042 3204\n380 9553\n1352 3607\n14644 14837\n6806 8220\n4424 12036\n2971 13246\n4347 17837\n14528 17704\n3506 16739\n4304 4876\n4574 5493\n4694 11612\n5558 18490\n5766 19111\n10919 19238\n1949 7466\n951 7582\n9298 16831\n1330 5509\n9111 14695\n5802 19099\n12063 18361\n9703 10690\n5180 15606\n6381 10562\n4777 7480\n9788 10264\n2753 16030\n7184 8578\n12863 14371\n4315 14044\n8540 9514\n1833 4100\n13908 18104\n16192 17915\n2652 4772\n8985 19959\n10749 12991\n7154 13875\n3054 11832\n1555 4651\n9622 14174\n4367 5990\n17543 17804\n13803 17365\n405 3830\n6302 17973\n179 11385\n2271 2761\n14232 18759\n8124 10506\n3720 5470\n12093 13998\n5841 16752\n261 10470\n14565 15855\n160 11158\n10667 12906\n3214 10343\n9420 9524\n5924 14447\n11106 11673\n7996 15724\n9548 15545\n12310 16029\n3812 9148\n11635 19462\n6798 15554\n195 9300\n18912 19571\n11715 11849\n6813 16346\n5330 14852\n15372 18384\n3436 15685\n10307 11820\n18099 19476\n5545 19153\n12426 18956\n7417 17327\n4869 16480\n2739 18892\n13635 15999\n16464 19358\n10363 15249\n6417 13692\n5922 16151\n1046 4318\n17419 19321\n2336 11926\n7118 7389\n2255 14451\n8597 18245\n11094 16516\n1109 12214\n2989 7275\n960 15916\n254 5950\n11672 11843\n3439 18692\n2105 12743\n8274 20226\n1861 10425\n2847 7468\n4985 8368\n2286 12527\n15829 19326\n4545 9298\n11314 19679\n12464 17699\n2746 6669\n11474 17254\n10789 19485\n2966 7029\n330 5222\n40 4773\n1458 18156\n5533 11362\n13485 20027\n6023 9872\n12347 13634\n2475 4925\n16180 18916\n9774 13711\n1299 20185\n4596 13526\n5856 10172\n2428 19234\n396 2156\n1794 9111\n1209 11437\n3737 15471\n3120 18392\n16628 17729\n14707 15627\n341 14954\n7445 11026\n452 14344\n1065 19415\n7776 9696\n3245 12588\n11146 14247\n3842 17474\n3581 15519\n7705 15783\n6402 11951\n3988 8944\n3743 4254\n3217 16125\n728 978\n7898 20260\n11505 18174\n12859 19326\n9211 12266\n14517 17787\n14813 19506\n4100 10143\n9220 19511\n2818 17721\n10684 17304\n4357 12583\n831 8210\n19719 19753\n11706 19982\n6768 19807\n10821 15062\n4180 13548\n1177 19509\n370 8097\n9631 18432\n2087 17051\n2695 13475\n11746 11764\n6022 18498\n6729 8058\n502 1805\n941 17387\n14961 16234\n14179 18146\n4373 19331\n13084 14691\n6187 6857\n8085 11508\n1864 5346\n8992 15854\n8586 11134\n4658 12809\n8477 15263\n9090 11192\n12940 15034\n832 8119\n2759 8016\n6388 8703\n6696 17174\n18336 18787\n3840 19672\n17497 19635\n1063 13552\n8285 19906\n8193 19628\n2868 10182\n10471 12730\n1855 4662\n694 12090\n3704 19658\n8756 19175\n12320 17428\n3066 14439\n785 18103\n632 3433\n7456 14819\n14262 16955\n18599 18846\n5551 12088\n9689 11233\n18947 19077\n888 9897\n8122 17721\n13208 13437\n6841 18246\n5999 12676\n8341 14872\n13108 19143\n6991 19112\n171 1556\n11476 17350\n10384 10657\n8709 15703\n6978 13238\n11678 16574\n3393 9283\n7794 13086\n6662 9238\n16044 17387\n485 8521\n9642 18515\n6497 19132\n18383 18694\n4869 18906\n11753 15049\n1509 9586\n9976 14216\n4765 19516\n2962 18057\n2777 16393\n5624 15704\n11505 13046\n11901 14369\n3974 13270\n1078 19086\n3224 19745\n11324 13855\n3746 18294\n6923 17633\n5508 15147\n1501 16815\n8437 11176\n96 7952\n178 8174\n14847 18942\n959 1643\n4263 13568\n8276 14869\n3730 11392\n10021 16498\n11002 19244\n6242 6418\n7803 7810\n1833 18955\n3765 5099\n9611 13188\n9343 15629\n5580 14092\n2518 5090\n3234 3538\n4540 13298\n11849 13633\n5536 13509\n4112 8746\n2448 9628\n2879 13527\n11077 17428\n140 2061\n5277 14813\n1504 6054\n5939 19979\n5993 14434\n3484 12366\n8069 10985\n13672 14871\n3681 4407\n3174 3576\n1022 17303\n3193 14269\n175 2657\n10128 10913\n4073 10037\n18145 18512\n4222 13080\n3864 6830\n1357 10236\n6272 20207\n10792 13738\n1848 2333\n17539 18915\n3082 15060\n1405 12642\n10766 17598\n2056 11320\n7126 17235\n6539 14679\n4155 13126\n1374 17772\n7094 15905\n12594 17082\n15680 16132\n10728 18307\n3892 19465\n1392 13648\n17582 18399\n6850 16445\n5013 16945\n12395 13506\n13056 19992\n8986 10207\n10561 11985\n298 9544\n729 11760\n8026 9208\n3843 13249\n793 5639\n2197 5478\n955 14331\n530 2212\n10956 17024\n4528 12088\n10646 20101\n15183 15245\n125 18314\n4000 14250\n9531 19775\n6577 12691\n2086 19689\n15345 16929\n3162 10047\n9732 11340\n5105 6685\n16721 19854\n4063 18108\n4386 6363\n7881 12871\n4290 13127\n3290 12002\n616 14162\n12794 20205\n12168 17174\n3400 6045\n13965 14313\n13536 14591\n9553 14136\n7363 9153\n7498 13392\n1172 1890\n3807 4724\n2363 16298\n3440 5678\n3088 17855\n8647 17111\n14190 19851\n3696 5358\n144 17357\n4922 13348\n8234 10035\n3457 8070\n10273 19911\n4085 19199\n3707 15241\n10840 16658\n2769 17931\n3388 5283\n1151 4028\n18804 19486\n4271 7238\n15459 16762\n1686 15476\n505 12282\n2957 19695\n8451 12922\n11785 20118\n5216 12040\n211 5866\n13536 18143\n9087 18164\n11544 15794\n517 19762\n4020 4782\n5302 7520\n17567 18877\n16870 18987\n14216 19916\n10249 18735\n13201 16374\n2135 8276\n4045 19596\n8826 17960\n13567 18061\n11265 13427\n10498 15125\n4455 17545\n7601 14165\n1577 8311\n1132 18092\n8805 13233\n9034 13359\n2385 16328\n616 10160\n5946 18374\n11892 19770\n8295 16795\n586 18960\n2012 8874\n13565 17454\n5687 17473\n1132 13095\n4843 6267\n11843 12194\n13834 18382\n8253 17756\n1293 19077\n733 8803\n17401 20226\n3223 10005\n17009 18590\n5758 12998\n184 13454\n4815 7166\n3362 8373\n3333 17306\n11194 18529\n15443 15553\n5003 6654\n12195 15945\n286 9068\n7248 16764\n1580 10982\n1931 3122\n11073 17922\n6152 6257\n18171 19768\n2310 10389\n1136 5149\n4751 5523\n8006 19950\n12638 19161\n4143 6866\n5153 14319\n5917 16492\n18563 19582\n17778 20048\n5914 12706\n421 630\n2434 6178\n9829 17629\n11628 12408\n15816 19706\n5372 8992\n2623 8795\n9754 19809\n13247 19499\n12028 16869\n73 19537\n1886 6723\n6367 17054\n9107 15955\n8882 14892\n5023 5645\n4730 13229\n1393 19633\n1318 7575\n1232 14733\n12518 18343\n5341 9553\n15316 17112\n5399 15746\n282 13363\n19843 19995\n9042 11372\n10234 12222\n9778 14837\n2268 11771\n6210 14726\n10215 18268\n6210 10366\n3920 8940\n1295 16683\n2960 9687\n8800 19871\n1492 11502\n1093 16366\n196 10991\n9575 14881\n2307 14755\n5048 13643\n19733 20038\n6873 18707\n3116 13543\n14620 19195\n1266 11942\n8417 16540\n3496 11528\n6100 10094\n2918 11930\n3502 5487\n352 19874\n12255 19592\n1192 1617\n14046 16830\n5412 12971\n225 17024\n4497 7735\n12532 14102\n3031 7268\n7807 16479\n7238 8830\n7071 12730\n7690 10288\n8150 15981\n9719 15033\n4207 12620\n9324 17339\n5000 7543\n14991 19109\n8507 16415\n7772 17285\n11314 16216\n6201 12023\n5570 18420\n9009 18309\n1102 14736\n5985 9567\n861 13865\n9364 11228\n1067 15177\n2514 6944\n2028 17509\n18874 18985\n10259 18992\n2019 9708\n7670 10235\n15005 15993\n2338 16347\n8232 15265\n2006 13176\n558 2396\n4442 11414\n977 15147\n1506 6535\n12171 19500\n8943 12235\n7578 10458\n13065 15779\n6919 13654\n205 18601\n2707 11503\n2054 11922\n16414 17335\n324 5814\n11839 18615\n1902 17441\n8283 16508\n3712 10050\n5700 15154\n7767 15767\n5131 12459\n11225 11325\n9463 11177\n217 12149\n5817 19858\n326 12787\n5233 18115\n16263 19017\n8728 18633\n8634 15428\n1213 2270\n14350 19159\n744 19573\n2106 11448\n2681 7633\n2333 17011\n4604 10560\n3797 6090\n5680 6294\n3997 13662\n14556 16605\n11474 11611\n4513 16548\n10916 18084\n10629 13710\n16729 18842\n16329 16825\n9064 18272\n13110 19415\n6044 6479\n1101 2258\n10898 15030\n8057 14965\n3595 11855\n2336 19161\n7463 8617\n15912 17103\n12802 13205\n4326 6851\n9337 19853\n7231 10007\n6242 8843\n3657 9962\n8873 19595\n14288 17468\n12562 14237\n7694 14650\n8529 18047\n9734 11179\n538 6820\n10756 12313\n3405 17712\n8779 9577\n4207 17442\n12770 18944\n6291 14891\n5660 19579\n4304 13512\n1550 6942\n2188 4471\n15571 18649\n14990 16044\n1705 6735\n4501 6118\n12704 16944\n1675 7401\n8197 16710\n16645 18855\n4926 7136\n3525 15696\n11420 19882\n10932 16588\n2692 10850\n1092 20138\n14444 18409\n1423 10604\n5969 8093\n2774 9688\n196 3786\n5851 19716\n6799 12298\n6069 19378\n10646 10727\n6896 7572\n4990 17479\n5822 17054\n8192 19398\n15197 18480\n15483 16756\n2048 16576\n1621 5241\n8111 18032\n1636 6569\n5105 11143\n4986 6208\n780 7643\n4394 20253\n1279 18644\n8298 11594\n650 2807\n10636 17718\n695 5203\n3100 14643\n18448 18706\n2959 4839\n3090 16084\n1319 3726\n11613 11805\n17451 18156\n12649 14340\n9766 12422\n2311 3296\n8265 15804\n2721 4674\n2651 17451\n278 2622\n5739 8395\n586 17255\n13751 16202\n227 6259\n386 14250\n7380 13825\n1365 9186\n3607 4684\n11787 15775\n11870 18942\n85 9226\n1699 4870\n4151 8590\n13341 13430\n428 12280\n9924 14891\n518 14727\n4447 8794\n3099 3518\n14450 16978\n326 342\n3694 18331\n134 13288\n3608 14824\n15514 18872\n11316 17151\n18844 19533\n14283 16354\n4154 9925\n4402 7779\n1790 2613\n3902 5348\n6740 18569\n5427 9128\n6556 7828\n10918 16504\n1607 11277\n1551 12517\n10178 14550\n1801 14134\n2210 10318\n10387 18190\n16663 17038\n9226 18674\n7028 8198\n2503 3021\n3733 7216\n7892 8393\n6711 15133\n9087 14702\n2494 5320\n3718 18508\n3720 16150\n1082 17056\n1307 14369\n6502 17662\n14481 20180\n1076 5295\n9005 15961\n3783 7107\n1169 7644\n12081 14963\n12718 19585\n319 6517\n653 11005\n8371 17123\n11962 13255\n6813 19911\n7094 19166\n7965 17723\n894 4541\n8155 16056\n2854 3579\n8416 18486\n4920 12066\n5934 12355\n16360 16542\n4287 8783\n11217 12427\n344 6249\n7943 11674\n7428 16912\n9303 14951\n19647 19705\n3392 17723\n176 8868\n17506 17648\n2949 10939\n2157 2352\n6311 7038\n3667 10695\n7452 12125\n12683 18120\n8220 8431\n13487 15872\n4722 7156\n2435 13957\n12866 19285\n748 13076\n15508 16394\n8612 9902\n7106 18086\n15691 16972\n8392 18234\n5161 15135\n2121 15012\n5747 11723\n3719 10568\n2921 15667\n3007 3613\n7941 17445\n10644 17760\n1840 5462\n8082 19656\n3987 14665\n8419 14219\n18546 18771\n7353 14315\n1385 7159\n4903 5766\n8322 10978\n6992 15690\n7316 14103\n6304 19006\n1980 10233\n905 19478\n2929 11958\n716 11720\n4962 12831\n7513 11461\n8416 9342\n9361 12425\n3582 18854\n18464 19990\n1665 3804\n10463 19136\n10415 11368\n15340 18502\n6689 17912\n14757 18641\n10996 13832\n1970 7690\n1274 19733\n2750 13221\n16297 17211\n270 3582\n1166 1213\n5170 9086\n13653 16210\n5728 11204\n3625 7025\n4212 19464\n2458 19960\n5325 7811\n6905 11007\n11523 17525\n11876 12320\n9946 19244\n4050 10188\n4658 19295\n110 17450\n1300 15620\n370 2339\n1846 3548\n521 721\n293 12196\n412 787\n5211 12851\n7443 15918\n4611 11342\n5973 11670\n436 13530\n2474 3391\n1775 5778\n7539 15024\n7214 7345\n1210 10976\n3735 4177\n7591 18960\n9827 19814\n8695 19733\n11339 13036\n6140 15239\n13055 18803\n7350 16837\n1105 17864\n3236 5769\n1366 14719\n3010 3589\n7004 16975\n5477 6036\n11371 14963\n11572 11867\n16160 18474\n9567 14182\n6339 18372\n2062 9760\n1555 5625\n15668 18472\n60 8365\n16421 16657\n5728 19264\n4238 12760\n16018 19020\n2560 18069\n6738 18953\n5243 5868\n1523 3606\n3076 15171\n1629 12245\n10289 10540\n5111 6834\n1422 11000\n3772 14982\n16355 18428\n12324 16917\n8399 10527\n9153 13502\n616 14896\n796 8752\n2951 4008\n11688 19292\n3765 15338\n13163 17226\n793 15708\n2841 6736\n892 10184\n13246 13855\n11677 15184\n9671 16858\n426 7586\n3458 6691\n7406 14831\n16405 20178\n3180 6659\n1293 2533\n11997 14199\n13273 16477\n796 19873\n7143 12805\n3355 16526\n616 3910\n4457 6308\n4717 8560\n16415 18750\n16510 17842\n1348 7518\n17410 19809\n4464 8487\n2922 15650\n3421 4731\n15137 19193\n5565 20008\n13956 19600\n4473 4574\n1477 3852\n17059 17752\n5197 7695\n1708 17611\n1409 7835\n14840 14971\n14377 16930\n13648 14678\n2090 14265\n2405 16085\n13063 13593\n17848 19810\n4785 14877\n8335 18646\n1560 7715\n4342 14872\n7502 19925\n4658 4729\n12852 19699\n3109 19463\n8767 17535\n15628 17923\n7329 15981\n2922 18981\n6661 10028\n3368 12319\n17634 19264\n661 8749\n3956 9974\n13072 14627\n1265 19397\n1305 18155\n3265 20070\n7176 17350\n7678 16653\n11537 13620\n3282 10814\n8883 19183\n1113 15774\n463 7574\n12792 15666\n7083 18873\n9372 13358\n1207 3836\n2043 15372\n4934 18354\n762 14165\n11617 11921\n14897 16228\n4352 11320\n9117 9787\n6187 18490\n148 812\n224 13752\n1930 16117\n10702 20080\n3649 12090\n2687 15379\n3584 16570\n3034 10670\n11413 18830\n12419 13347\n19399 19729\n7056 9211\n6534 10195\n1668 8897\n13268 14318\n18099 18737\n12989 17481\n4000 7816\n3603 19360\n5101 16074\n5487 10561\n1271 13078\n7362 9279\n2233 2601\n15548 19744\n13347 14541\n12754 18590\n14021 19159\n8578 9106\n11024 11784\n6321 11493\n2038 15046\n8580 11055\n11975 17025\n689 1137\n10070 18812\n5410 7479\n2071 3961\n4689 16609\n9511 16769\n810 2967\n4642 8954\n10726 12338\n844 12501\n11577 16688\n8102 14615\n7666 13410\n2811 12482\n1100 1984\n18618 19123\n8782 12463\n15722 19019\n8731 9834\n11530 14824\n1553 7058\n2671 2775\n1491 16930\n8472 13376\n15904 18072\n3442 9784\n7012 12766\n1867 12364\n1315 18849\n8614 12455\n17058 18698\n9788 16626\n8481 15753\n13736 19587\n5879 15263\n4862 16890\n9033 13342\n521 13046\n2374 12243\n9377 16226\n2885 10451\n4590 13545\n13430 13654\n2825 14200\n11050 11079\n5129 8401\n9662 11620\n8109 12770\n153 211\n8352 10209\n15109 16479\n2163 15024\n194 13749\n3642 6712\n805 7410\n5899 20070\n11593 15003\n6956 18848\n11073 13394\n221 11217\n8572 10561\n7788 19173\n9958 15822\n7317 9960\n3727 15258\n2860 15979\n9500 14495\n5212 16493\n9955 11407\n70 13930\n4839 8490\n12006 19523\n11467 19180\n8953 18669\n5616 18545\n15702 18066\n2314 12987\n10606 19799\n2147 19773\n3076 17458\n1468 14035\n15208 15474\n3935 13368\n13036 16737\n13402 15965\n2743 16695\n4814 7837\n3609 18985\n15575 15838\n9694 17235\n7263 10767\n18321 19455\n6984 17727\n8253 10210\n3931 13234\n11519 12220\n8628 18175\n12716 19264\n6952 19136\n1132 10402\n5454 11547\n3579 3737\n3435 5500\n2667 16666\n12170 17192\n10006 10299\n2606 17880\n439 1419\n9992 13991\n1922 3453\n657 4530\n7903 13412\n5677 14350\n15283 19611\n5014 9813\n13535 16886\n1355 3714\n9499 17982\n13007 14414\n9956 19465\n624 19810\n13793 17563\n1915 12914\n5667 19596\n1440 12905\n13439 14192\n10520 15886\n3148 18814\n1874 19675\n14971 18176\n10424 19993\n1502 11954\n6424 14490\n7104 19579\n1841 19173\n11896 13897\n703 19540\n10105 17528\n4642 5202\n4088 18242\n2381 9717\n5011 11386\n3603 8892\n17 645\n19147 20180\n8 2410\n9736 17112\n14178 14836\n6544 7736\n7253 19404\n3483 11299\n8267 19047\n13454 13651\n9811 14751\n8866 14783\n8238 15869\n5851 11201\n4138 17877\n5147 19765\n4281 9856\n1713 14750\n3350 18117\n7248 14522\n17521 20035\n3700 14523\n2689 12562\n167 19137\n2071 4836\n7083 12563\n13326 15875\n5149 10761\n5711 7686\n4382 20190\n4338 10335\n433 4277\n2936 18026\n6521 19911\n7244 13540\n16485 18961\n1673 10166\n1748 16694\n15180 16948\n7487 17713\n4084 8581\n10978 17071\n2913 7574\n16937 17126\n1091 12754\n7191 14246\n2802 5790\n4451 17667\n19063 19800\n8623 9421\n307 18827\n5975 20080\n87 2813\n3319 8061\n475 8060\n20083 20115\n5931 19962\n5615 11024\n3101 16322\n4224 19037\n9501 9679\n14491 14925\n10190 12397\n10899 17552\n7516 18084\n1320 6913\n18175 19595\n26 7482\n1641 7679\n7327 14694\n1494 10849\n2872 20016\n17646 20055\n150 5027\n11148 18079\n16759 16928\n5746 19667\n742 10608\n4104 13930\n7036 17516\n14852 17893\n8392 20285\n3535 6915\n1892 15962\n15012 15422\n12837 14709\n2054 13437\n18049 19250\n4756 11667\n568 6037\n2228 13087\n2190 18899\n6481 15389\n2935 12417\n13621 15954\n5991 6391\n240 5456\n16691 19411\n6669 16032\n6847 7794\n5745 13409\n4307 4950\n6277 10756\n6685 14429\n2859 8489\n13899 17484\n270 12978\n5643 12097\n7364 9618\n9882 18890\n1457 1976\n8428 8983\n6670 14893\n7179 10618\n17995 18679\n856 19825\n5191 8630\n1460 5985\n17299 19060\n14723 17967\n16064 19606\n2584 5737\n10133 10460\n10357 12055\n8721 16184\n12271 16662\n4512 9515\n4430 14514\n11052 19247\n4768 11357\n12207 18649\n16857 17244\n9924 16862\n11152 18519\n7340 12346\n12290 19540\n11749 19696\n3375 7911\n3377 9635\n13205 16695\n2840 16997\n8079 17469\n2631 15285\n18971 18978\n2581 6072\n1164 14121\n5649 14410\n12877 16294\n4232 14627\n4298 19678\n2469 19512\n3023 11669\n13890 17129\n2939 8158\n5092 10220\n7150 7992\n8769 10071\n1220 20176\n3226 19371\n2153 9695\n1743 4473\n1517 9568\n507 14103\n2311 14741\n1913 8957\n8419 10463\n542 10148\n4102 13811\n8503 12441\n4380 9645\n9697 11889\n2943 5740\n3499 5173\n15767 17212\n10899 17032\n8908 17105\n7985 17956\n12453 15221\n1388 10211\n2799 18982\n2253 20080\n17966 19492\n908 16062\n962 18154\n4481 16481\n10147 10689\n201 8862\n1234 5684\n66 18781\n6774 19271\n4991 10753\n6154 8537\n3973 4914\n6217 6605\n361 19125\n4643 16923\n15394 19027\n2944 13890\n12642 15148\n14159 19472\n247 936\n13403 17771\n299 755\n702 13987\n2586 5559\n3890 14449\n2527 16354\n1867 11848\n5419 9327\n1534 13117\n962 12696\n4769 15127\n4228 9656\n660 7402\n4940 7308\n8526 10671\n18631 19134\n4971 15934\n13016 16807\n1903 16570\n14440 14755\n7040 12548\n6456 11557\n6799 10205\n2494 8422\n2091 17410\n6924 12527\n16330 16948\n192 11736\n6993 11533\n13321 15376\n1455 12629\n11200 13137\n14866 18902\n14222 14961\n15077 18518\n12528 15911\n4078 6368\n6034 9627\n8438 11292\n19340 19672\n12314 17607\n2931 12560\n1162 9703\n2266 19108\n11317 13838\n3386 5068\n4085 6613\n132 9737\n5878 10058\n2182 10690\n1115 13180\n6079 18207\n7316 19269\n2487 5632\n4345 6798\n9906 19777\n109 4582\n2278 7390\n1086 5374\n485 16184\n19273 19377\n10892 18323\n9003 17066\n7540 17911\n6978 11201\n13220 19072\n3207 3801\n3642 18996\n7688 8120\n3074 14691\n4950 7771\n16017 19835\n1425 7546\n3115 6529\n242 12908\n9086 14485\n3616 3622\n14558 16029\n2693 4360\n6079 13878\n4141 6726\n2625 17992\n3444 5563\n7250 12691\n5417 15462\n1234 19972\n12138 18525\n4213 18094\n7575 10295\n7467 16436\n8447 11425\n3327 16161\n358 1475\n4029 15189\n1203 3097\n11622 13463\n2829 11134\n3216 6136\n4199 12916\n10975 14068\n4350 15701\n5399 5890\n10889 15250\n1084 6695\n4976 10675\n11708 15076\n1116 2937\n8113 9987\n11968 18260\n7475 11196\n360 6004\n2028 16714\n5441 9744\n556 2743\n5511 6455\n5668 11686\n4943 19223\n4016 13140\n8481 18937\n3987 10702\n15727 18234\n4557 4648\n3313 7180\n3476 5417\n10323 15727\n927 2849\n12315 13101\n10989 16399\n9038 15681\n4009 11540\n3387 12194\n1661 19798\n11750 17875\n2511 3143\n9334 12978\n704 15159\n5880 14057\n4 16399\n12874 18163\n55 4333\n13276 17242\n5991 6494\n3808 5701\n2308 17121\n6216 8409\n1812 6761\n1824 5850\n11767 18500\n4708 8520\n10460 13105\n19119 19488\n1784 13598\n9297 15633\n1580 5162\n1259 18163\n5492 7088\n8460 9246\n7447 17718\n3496 9303\n1450 12082\n3864 14857\n478 12902\n4025 5355\n2964 3222\n1909 15800\n11537 11595\n14418 20205\n13694 19501\n3999 8813\n12244 15866\n2058 6031\n17619 18086\n508 15539\n408 1714\n13775 17048\n5416 5469\n5431 10719\n8826 9392\n1401 2377\n5552 7320\n8979 12177\n1773 14948\n2354 11724\n3542 8621\n2315 9943\n981 19684\n13180 16072\n5699 9246\n660 13692\n12511 18177\n1272 17691\n11409 11694\n9085 13333\n11908 12357\n681 3536\n14692 16868\n4772 12102\n12443 20189\n3724 19680\n12547 18194\n14017 14366\n5252 15120\n14907 16960\n9746 14402\n7742 19834\n14643 15761\n8819 15319\n8713 12700\n13724 19959\n12313 14513\n16159 17897\n5144 10047\n542 13866\n8984 12023\n3787 18210\n6176 11135\n8227 8260\n2362 2868\n3069 12258\n584 9489\n6973 10840\n14661 17346\n2634 14416\n7463 19689\n11585 11658\n563 14856\n1901 19379\n3214 12345\n3051 15417\n1824 4274\n4315 10547\n2394 13220\n18724 18825\n783 14851\n9952 20269\n2697 8735\n2185 4715\n5379 18401\n4487 15881\n9410 13984\n2116 11899\n1814 6890\n10894 13725\n7158 15463\n843 1701\n1127 12768\n15551 17372\n495 17168\n5025 15217\n3084 19780\n4107 19524\n1353 16843\n199 18291\n1700 11943\n4278 9597\n6588 6795\n11590 12341\n5984 8476\n809 2604\n1329 3373\n5658 16318\n8305 19041\n3072 3408\n10324 17843\n17688 17835\n2068 14302\n308 5783\n782 11949\n7416 18172\n6837 14006\n2747 13383\n3269 5172\n3807 19080\n11337 15513\n4347 12324\n835 14662\n24 10187\n6249 16291\n7482 15224\n1838 3076\n2326 19761\n11105 11564\n9265 12505\n16632 17032\n3685 16038\n2860 15568\n9168 14966\n10658 12816\n5790 8720\n284 14898\n2820 16094\n7459 12410\n2424 14399\n4342 5185\n12519 16800\n7925 15379\n3880 19186\n4383 9316\n13722 15574\n9342 10786\n933 10947\n10972 20086\n8310 8970\n5118 18946\n3817 12910\n743 9476\n5228 8411\n6500 17321\n9411 20032\n1893 13676\n10233 12628\n6303 10707\n1826 11116\n12027 19991\n4910 13686\n13644 13912\n2118 20042\n16421 19198\n1457 10235\n1739 5656\n2485 13008\n6304 18810\n10936 15757\n7456 15190\n11906 15157\n1610 10643\n1200 4048\n17216 20062\n8106 10730\n10845 17363\n11058 14758\n4929 15366\n4621 12020\n7123 18179\n673 8218\n4190 8410\n698 20129\n474 1251\n3826 15787\n8821 9514\n6711 8670\n512 12286\n8871 19002\n6630 11191\n2386 6278\n3833 12908\n3071 6478\n4053 16934\n10555 19427\n484 1424\n1216 12482\n8559 14958\n13595 19969\n3062 16796\n9325 17509\n3393 17934\n6572 11952\n7858 16827\n3352 8939\n12439 14600\n10805 18687\n6410 13449\n129 18865\n15951 18042\n2240 10312\n5190 12065\n6759 13856\n1519 15835\n3174 15134\n9357 18086\n1640 6599\n4704 7968\n16957 19551\n7787 16657\n2281 18458\n9954 10596\n4916 13473\n496 837\n4540 14402\n3840 7298\n9117 17201\n5112 9627\n9482 14425\n325 16339\n18460 20219\n5118 12269\n3729 10632\n6176 13636\n1304 17229\n4597 6664\n10553 10712\n10471 17131\n12659 16353\n12460 19001\n1537 14634\n3554 5362\n900 9609\n13195 18468\n5164 19844\n1720 3464\n3705 17371\n1385 12170\n6751 12948\n10854 15082\n9193 9289\n1891 19825\n2681 17686\n2271 9624\n648 15467\n5790 9360\n16074 18409\n2439 9316\n2804 8994\n8779 17990\n9758 13357\n3972 9692\n11293 18745\n2852 3569\n9086 10839\n5674 13921\n367 3975\n965 8626\n2287 12226\n9721 13682\n1398 19047\n4829 6223\n1222 8560\n7687 11586\n6836 16357\n3987 5039\n12695 12909\n6801 11486\n15006 19517\n10136 10908\n11115 13127\n12516 17182\n3632 20223\n497 2869\n15997 17220\n9176 16493\n13185 18697\n11332 11859\n1425 15312\n6237 16761\n5215 5666\n335 17152\n1150 16090\n4730 10896\n17642 17808\n2716 15233\n613 3870\n12459 20193\n4333 11084\n4370 18160\n3020 17917\n15766 19896\n16912 17725\n877 2788\n399 2406\n8238 19747\n1849 4818\n5490 6250\n1491 20212\n184 3058\n11068 11467\n5441 11315\n16520 17028\n3782 20099\n7601 16863\n2381 16512\n3431 12166\n16703 18446\n10866 16171\n8367 12082\n15397 19915\n4604 7615\n15085 18359\n13107 14627\n17627 19597\n2738 10291\n8874 13997\n5588 18665\n794 18331\n2875 10718\n1241 14658\n12498 17979\n13999 19978\n2660 12145\n4732 5475\n1982 5099\n12662 13091\n12132 16590\n8499 12755\n12020 19648\n1837 2560\n12530 18950\n1822 3834\n3363 8348\n16171 17523\n4075 12330\n11117 20078\n3198 18487\n13568 17546\n2532 20046\n12671 16356\n252 18767\n2222 3967\n18905 19628\n15704 19523\n1715 7372\n14994 17576\n28 11702\n15044 17614\n4763 13308\n4323 6999\n1582 9485\n4145 16962\n14193 15565\n10456 12107\n18161 18444\n5264 15723\n13860 14718\n1510 5565\n659 15851\n8255 17603\n9617 19702\n526 927\n4144 9143\n2277 6829\n946 18023\n126 18397\n16 14816\n3554 16234\n14649 18884\n2421 5129\n5255 15047\n447 12559\n2299 14840\n1125 8539\n8195 11110\n3972 15553\n297 18475\n11145 12527\n9957 15240\n7653 13597\n627 7817\n14119 19899\n9465 13848\n7566 9255\n12218 14429\n9470 16952\n4474 7786\n8092 10662\n15085 18897\n6229 11339\n10436 11938\n9844 11631\n11368 17955\n15181 19113\n12906 13620\n284 17340\n7751 12278\n2503 13302\n5889 18450\n14926 15357\n7057 10329\n1598 2686\n8619 8994\n1974 18365\n7412 8649\n5071 13627\n17254 18409\n6969 16089\n7415 17741\n6529 8644\n4307 12288\n14551 16570\n17103 18796\n3114 6140\n8947 12155\n6116 16297\n10981 15344\n834 9944\n1834 11432\n446 14027\n3628 5521\n6807 19963\n12145 17105\n4169 4465\n7587 17209\n16133 18437\n15017 20160\n2602 18401\n8179 18954\n8762 12605\n2739 14008\n7539 8401\n13439 19725\n2952 19596\n1285 3873\n2897 3249\n10178 12768\n16090 18160\n5137 11384\n15030 15535\n6666 16524\n229 10428\n3485 4088\n4105 19836\n4073 8778\n8402 8900\n2249 15823\n1897 2408\n6059 10443\n3617 15560\n3688 12792\n8123 18128\n4816 11429\n5529 5921\n7131 10791\n10915 14438\n9190 10947\n95 18446\n8136 14011\n4874 12530\n14787 17250\n4589 18217\n17685 19225\n255 18957\n6964 13308\n7783 9944\n10729 14558\n3700 16580\n8770 14133\n2739 4030\n5806 12670\n14172 19095\n8846 13695\n13051 16302\n10496 16912\n4565 12025\n2969 8693\n4868 20185\n348 9246\n7777 8683\n4377 20200\n7576 13389\n11530 13522\n11572 17863\n12985 14775\n8566 14704\n11227 18263\n4143 11332\n1769 11106\n10313 14165\n987 11431\n8362 12056\n3842 5280\n9710 11151\n6286 13645\n1338 16707\n2284 9182\n11468 18324\n5346 5987\n6578 10788\n3979 7596\n12812 12891\n1151 16212\n15866 20075\n1432 15658\n706 20261\n1226 7571\n6810 12777\n1588 17755\n4800 15140\n9102 16242\n16792 20122\n1342 10316\n8687 12340\n7026 12650\n7507 8494\n899 17388\n11031 13486\n1508 4770\n13494 17882\n10413 14279\n1933 14691\n1816 2701\n419 18506\n4657 9393\n3979 19824\n13223 17015\n8019 8098\n2508 7383\n753 14281\n8643 10023\n7837 18370\n13223 20175\n6609 12517\n12303 17572\n6054 18498\n4309 12952\n1081 5247\n5866 9669\n6996 18025\n13416 17314\n7673 14502\n791 19212\n2456 14441\n6113 15519\n8273 13432\n2076 18007\n4037 9489\n12888 15637\n636 7390\n18183 19393\n284 5715\n465 12915\n10473 14739\n17547 18785\n13788 18887\n3072 13669\n11796 14902\n4119 15516\n7121 13714\n5800 7635\n4525 7012\n2996 11884\n1774 11570\n7432 9779\n1242 14739\n5257 8694\n2100 5486\n4858 9028\n11146 12639\n68 9628\n12572 18329\n8967 16523\n3678 18686\n17046 20255\n7019 18175\n8338 9072\n2757 15960\n4153 19932\n7966 18162\n8439 17655\n1946 3381\n3323 19887\n3761 9006\n15682 17766\n2511 11334\n7262 11701\n10698 14735\n12948 17110\n2010 7711\n8231 15339\n4581 10173\n12211 15067\n13586 14110\n715 8619\n4899 12125\n10294 19776\n8461 14029\n17040 19578\n2354 9470\n5260 12241\n10462 11098\n5923 16680\n11895 13634\n3877 15378\n11351 11786\n4034 10591\n8772 16091\n8269 20143\n2650 15006\n4062 9110\n2519 19577\n2222 8339\n8831 18583\n4220 8079\n3982 14258\n10722 20247\n19747 19876\n3655 14600\n9255 11129\n8943 16187\n5737 11516\n14247 16748\n471 17481\n3548 12842\n9527 15812\n6920 17088\n6993 10866\n478 12187\n7346 11920\n4520 14801\n15626 16696\n10483 12843\n7237 10399\n8208 13661\n9843 19823\n11203 17550\n1120 13931\n5481 11153\n1378 9311\n19334 19952\n11516 18907\n12022 19809\n2542 16967\n7289 9876\n1931 2032\n572 16473\n258 9674\n4868 19281\n1021 19777\n14453 19469\n2514 10974\n17382 20225\n1611 16205\n8313 15048\n9478 12865\n14133 17260\n598 8884\n16547 17962\n7158 9499\n3034 11571\n4877 14578\n469 16878\n5000 5317\n4704 7012\n1939 18163\n6299 9101\n9037 13431\n6328 9816\n8791 9730\n11577 12327\n2903 11037\n12999 14269\n13363 16522\n3604 8923\n7425 9082\n1354 20283\n2839 5048\n6520 9453\n3069 19697\n5556 15493\n3033 5725\n5374 15025\n590 16727\n2991 16254\n5971 19218\n14540 18733\n10221 10929\n5107 7454\n6607 8665\n5287 5586\n5964 6444\n12412 17471\n9545 15753\n8678 18526\n2002 8539\n8175 12924\n6197 12673\n1690 12316\n5635 8076\n10598 15642\n10264 12664\n3677 11361\n1751 11816\n820 18878\n18649 20113\n11781 13451\n102 16980\n3071 20142\n2774 11360\n526 19380\n3328 3342\n1715 18014\n10017 14133\n3351 16994\n303 13701\n10773 11431\n800 10389\n11761 18036\n11258 14419\n5908 19528\n5661 20250\n819 15207\n8392 9772\n6761 9394\n11431 13425\n766 10855\n5979 12861\n3850 16722\n10063 17723\n6092 19480\n8973 18495\n3371 7156\n17139 20289\n7531 17943\n19670 20014\n6579 12421\n2350 2580\n2629 9338\n4891 6255\n472 16258\n15435 15982\n1209 11120\n8840 18233\n729 16560\n7579 12345\n7093 9084\n2445 6560\n2847 8734\n4503 11886\n3901 11569\n15992 18114\n1928 9766\n4635 14696\n5121 20149\n13231 17486\n5997 7144\n10188 18455\n256 7991\n9015 12910\n131 17171\n7492 10420\n11637 12659\n6586 9435\n9584 15936\n12777 20202\n2968 3152\n1333 13555\n401 3635\n2214 13270\n5868 16956\n228 13384\n3296 18822\n379 19894\n13605 17873\n10839 13655\n6169 11709\n8936 15739\n7827 17798\n3868 11777\n4164 15872\n5231 7780\n72 362\n7406 12781\n2584 11836\n9411 16377\n2246 5663\n7352 13917\n10363 16934\n6495 19435\n10653 14085\n5357 8301\n8785 9809\n5554 17580\n3876 15948\n2705 11314\n12472 15061\n17702 18414\n15014 18877\n7312 19247\n14776 15001\n3066 15462\n10113 17839\n5006 17259\n3464 11209\n13818 19764\n1279 10518\n11659 18531\n17133 17888\n433 13971\n639 19409\n9874 14156\n6757 12352\n16787 19235\n604 17079\n7776 20065\n11109 14307\n11988 14908\n6479 17634\n7961 16613\n3516 14179\n2814 11179\n303 10311\n8289 14506\n5918 13951\n5521 13680\n7590 8322\n8 13105\n1901 9079\n3178 3384\n4683 6401\n16880 18923\n7447 15541\n2950 4594\n416 16786\n9463 18928\n2122 9429\n2840 16667\n3406 14370\n12322 15716\n8270 9901\n1143 16159\n7207 9393\n360 10411\n12542 14111\n1822 8239\n9925 11431\n2835 17233\n6037 17155\n1993 13167\n510 14902\n11092 12563\n12378 15663\n5174 9280\n8089 10558\n220 8216\n8691 14511\n8637 9976\n9016 19789\n2975 16044\n4535 12346\n3464 10759\n10542 10697\n1589 9870\n144 19346\n11002 15077\n1327 9983\n9180 10739\n337 8976\n1632 17859\n4049 19365\n3280 12738\n16273 20004\n5752 14403\n2749 11780\n15703 19313\n16929 19472\n2223 10066\n1376 14712\n1138 9374\n10997 16606\n4322 13367\n2064 6281\n1810 19990\n6725 11512\n7272 13155\n67 13121\n2152 9198\n10772 18574\n11142 11220\n11095 17323\n5355 10686\n705 6435\n9079 18413\n8219 13173\n10950 15619\n7218 11993\n5068 14240\n12782 19912\n2080 14687\n16345 19304\n1347 9123\n2966 18177\n9395 15968\n4400 11455\n1082 8534\n15543 16809\n2222 12587\n10645 16276\n8884 15179\n1694 2992\n4820 9498\n6693 6911\n512 19597\n139 5659\n7112 16136\n8523 9945\n14078 18915\n12602 20063\n4489 17788\n4768 19357\n12982 16150\n4839 16784\n7071 8165\n4213 16937\n8360 11909\n479 3303\n4672 14418\n1446 3087\n1093 6729\n8454 14944\n2933 8610\n7340 13915\n3499 6597\n497 11141\n1608 8059\n2177 9564\n9202 16596\n16782 17702\n3305 5714\n4509 17539\n6593 6602\n8591 13789\n11008 19682\n11166 11645\n10626 16367\n3067 17109\n1919 5808\n4093 6745\n3519 18769\n5707 16540\n897 19039\n18595 19908\n539 17160\n2847 17663\n1099 2015\n14571 15396\n1854 18918\n3090 7594\n14948 18673\n3995 11318\n8057 17468\n15284 16943\n4885 9868\n5533 10227\n6300 7486\n11514 15347\n332 16118\n4608 13842\n4073 4750\n17040 19847\n17875 18691\n8528 12243\n2255 15190\n9900 19770\n4116 12372\n8709 9894\n1394 1665\n14776 18721\n2604 12542\n3819 16571\n2193 5126\n45 17803\n5379 18046\n15150 20064\n731 16936\n7848 15195\n9368 15401\n8652 17340\n1029 3216\n4765 16763\n2248 5569\n10839 19424\n3510 10773\n10353 14300\n10606 12050\n12299 20164\n4394 15532\n3732 18765\n4690 11384\n4833 16608\n13687 15835\n3637 18596\n5219 7924\n437 18210\n5587 15861\n1834 11032\n273 5522\n2768 7490\n3790 20166\n3076 19214\n4148 16077\n3337 5907\n2738 9827\n60 1363\n3407 3751\n1237 3733\n646 18886\n1442 3508\n15313 19184\n6550 8091\n13854 15920\n2381 8875\n10449 13070\n3618 19359\n1642 10631\n8572 12593\n13247 15105\n3235 15656\n13084 15298\n2630 10523\n86 3693\n11141 11834\n7010 19954\n2518 13064\n9482 13006\n1468 2121\n9845 17810\n7749 13347\n12462 15832\n978 5791\n678 8809\n2583 17920\n1641 8139\n508 12806\n14580 17889\n6480 12850\n16263 19040\n543 3117\n2738 7308\n9534 19431\n4615 9098\n8967 9017\n7103 12976\n1799 10380\n11372 12216\n767 4278\n6403 18781\n13430 19432\n6075 10810\n6676 9127\n8393 11514\n9468 11548\n18442 19456\n385 6054\n1996 10705\n17165 17844\n2589 17740\n14839 17591\n6398 8096\n9854 19660\n772 9682\n1145 2193\n3201 13812\n9384 20260\n11582 17096\n872 13174\n14482 18136\n5564 20117\n12271 18828\n5077 9754\n12399 20090\n1192 4335\n9518 14969\n6184 17025\n11452 11926\n3152 16394\n11125 13028\n8459 18757\n1027 2047\n2864 13383\n7366 10981\n4188 16010\n6798 16580\n13904 16976\n10323 15355\n599 12850\n16633 19001\n3912 19937\n476 14367\n5402 18323\n1500 6024\n3320 12722\n12776 14064\n3820 4082\n16415 17315\n11351 15666\n544 801\n5874 6446\n13216 19920\n6696 10612\n2714 5013\n8063 12306\n7331 17856\n10787 19781\n17703 18873\n16442 19190\n2228 12581\n923 5606\n2005 7662\n5817 9284\n8127 9922\n6739 10565\n18544 19115\n8647 13974\n6693 16499\n1803 8176\n11085 17334\n8908 18071\n951 15926\n6117 7844\n5434 9668\n5066 13887\n14262 18320\n10869 19579\n725 14075\n10848 11897\n582 18227\n4898 14206\n5915 17648\n5317 12563\n2779 6960\n16055 18234\n6642 19737\n9683 16846\n4364 5159\n769 14084\n8642 16429\n3664 16591\n8982 18946\n11322 16109\n13739 15324\n6963 15840\n19540 19732\n15812 20158\n15978 16820\n11233 15321\n1560 15670\n1869 2046\n3425 13283\n9785 19098\n177 19002\n214 3380\n2827 19296\n9534 15307\n14935 17937\n1417 15594\n6567 14334\n7744 14743\n17809 19112\n3302 14534\n12042 14532\n3375 19530\n9118 9238\n8911 18277\n8895 10248\n2827 12896\n12916 17470\n11957 15999\n729 12983\n18833 19431\n2171 7240\n1889 20002\n6104 9010\n14967 18019\n46 17958\n14698 19212\n1201 2902\n4336 19317\n5408 15386\n4917 5504\n5452 8332\n444 9428\n10337 15754\n1025 12878\n2021 11982\n15315 15414\n2459 20118\n1694 6021\n1616 14533\n1285 16784\n36 5919\n13151 16364\n9472 9512\n6864 14377\n7648 17062\n5522 6711\n6244 14813\n9377 20250\n13774 17585\n1915 12776\n5550 14128\n8209 11567\n7064 14776\n3993 13580\n8254 15134\n16205 19244\n13173 19878\n623 7940\n6955 16102\n307 15032\n8502 15539\n10527 14123\n6472 14919\n7208 17587\n726 16021\n2039 4646\n9260 18371\n14415 14780\n4446 13077\n13551 15196\n12815 19413\n13691 19660\n3173 10330\n11061 12800\n7870 8763\n6696 9415\n18051 19615\n1072 5197\n4612 8648\n6400 10801\n7654 9043\n2515 5825\n8314 16275\n14635 15611\n795 8392\n4958 9541\n1783 12620\n10049 10983\n8581 12559\n615 4859\n9472 17466\n1056 9068\n13223 17635\n5760 15633\n17255 19216\n219 5687\n1704 18991\n10163 18383\n1568 14948\n5150 11486\n6269 13974\n2212 19818\n5710 8660\n15933 17439\n510 7763\n1808 2514\n8259 17273\n1060 3254\n3357 10449\n12217 18688\n2759 10782\n9289 9422\n12850 18605\n95 18420\n5737 16746\n4893 12666\n13448 16028\n6660 15705\n196 18343\n15944 19830\n8215 15132\n1677 19727\n640 7269\n320 14402\n9041 19014\n11590 12613\n3041 14426\n3059 15225\n17901 18824\n13407 19250\n9222 19506\n8332 19519\n4785 16248\n742 12221\n12619 16951\n6975 17595\n10559 13378\n5085 8691\n7761 10825\n12788 13142\n3501 16512\n1268 19789\n7703 10678\n9940 19429\n6207 12282\n1435 2717\n10941 11318\n9138 16297\n1709 11346\n1527 17129\n16958 17041\n7683 11175\n8813 18156\n178 15442\n149 9364\n8112 13015\n7674 8518\n1592 15708\n4659 12498\n2179 8341\n1459 1651\n11481 11952\n1194 15362\n13051 18770\n13140 15102\n4325 18692\n721 5768\n1897 15759\n8012 18999\n5761 20114\n1791 2852\n19230 19636\n4509 6699\n1981 7372\n3255 10596\n7875 15165\n11345 12009\n4667 16142\n16460 18504\n11297 17077\n5441 16707\n3343 11102\n1227 15459\n17607 19980\n2897 12404\n7224 15739\n3893 16448\n7694 12046\n5804 5910\n2681 19090\n1206 2694\n675 9024\n4999 6222\n8729 15622\n2885 7982\n4696 11713\n9241 16597\n13600 17034\n5219 5612\n10542 14717\n10341 16444\n595 2194\n9977 11383\n3155 19358\n3908 12482\n7044 11082\n4485 17588\n8172 18737\n286 15804\n18478 18564\n19431 19992\n822 3583\n7885 16484\n7476 8428\n4146 6211\n2984 9547\n1717 13356\n14262 18854\n17435 19817\n4279 12763\n230 18840\n9291 17013\n8482 12511\n5937 7802\n11140 15774\n7708 9233\n10960 15378\n4495 18068\n503 19387\n1939 13955\n8472 8562\n4042 8639\n12179 20104\n6605 8704\n14771 19725\n12253 18278\n8994 18523\n224 3556\n4772 8830\n6339 11943\n2489 14126\n898 9661\n3912 5787\n11063 16345\n674 18873\n13682 18699\n9876 14641\n687 5423\n9220 19631\n2694 3678\n13605 16966\n622 13846\n3672 10078\n5011 7510\n5568 12950\n1968 14064\n2095 3708\n5622 16911\n2776 9307\n3113 9416\n7448 8251\n1665 1965\n713 11275\n17657 19504\n1896 10026\n7175 12905\n6567 17074\n9607 16999\n1808 5868\n15274 20090\n1046 12307\n17790 19040\n14492 19502\n8454 11675\n3027 10053\n4700 8673\n210 8759\n11983 15395\n9002 13971\n12729 13167\n9307 17056\n11054 11933\n2637 4007\n4933 10087\n17453 19968\n15609 16038\n5061 16185\n6053 16740\n2877 8437\n10314 17048\n2614 18407\n6858 14153\n7216 18251\n10988 12617\n8176 15598\n5094 5455\n317 12953\n13709 18601\n6858 8955\n5099 15697\n15913 16963\n3295 15053\n3891 8993\n8024 8523\n10991 18033\n13527 18545\n5889 15028\n10028 11936\n6838 10616\n2603 10047\n2704 4443\n16976 18403\n6357 16823\n6831 17220\n4077 4151\n4694 15250\n11837 13347\n8927 12350\n2297 6393\n8374 14906\n8299 9043\n4805 15442\n9429 13424\n15799 15966\n8860 15808\n1173 3322\n2976 8851\n719 16322\n7217 9702\n13473 13506\n4225 13471\n286 8108\n7324 13946\n9011 16725\n11547 16587\n2249 4917\n5550 12048\n6422 14230\n4434 9618\n15983 16582\n3492 17019\n4665 14219\n3560 19027\n14317 18666\n14297 15698\n2789 6141\n3097 12401\n4135 4610\n9322 12653\n5423 17213\n6222 7417\n3463 5085\n11012 14830\n12650 19429\n8899 13313\n928 3601\n13325 14858\n19169 19588\n8941 12990\n5923 18183\n3420 10523\n11672 18154\n2638 16338\n589 12486\n10039 16190\n8508 8569\n14873 15626\n2485 12560\n6497 18278\n9995 17206\n19060 20245\n13896 16458\n9881 17991\n1866 8349\n5105 17946\n10004 13101\n14088 19148\n2311 7066\n1414 5985\n10250 16688\n4379 19880\n4946 8679\n18123 19297\n8025 12042\n655 4749\n10254 16801\n3931 14982\n1083 11458\n8797 15289\n5231 7345\n7886 15677\n9874 11336\n8577 10594\n6563 16510\n13337 17987\n7625 15907\n1809 11974\n4629 14196\n8810 15763\n8637 11283\n10059 16090\n461 13000\n3117 17026\n7796 19484\n42 19295\n5041 11531\n13672 17249\n12955 13528\n2494 5140\n7328 15294\n8311 13005\n3803 15610\n6276 19945\n13012 15374\n1274 18638\n4037 14905\n4722 13789\n7842 9529\n5173 16712\n5832 10047\n11274 12497\n10796 17847\n1558 18910\n14596 16035\n1699 9483\n10880 15178\n8727 18913\n12362 16092\n17642 20045\n1363 9448\n16339 18920\n7134 9286\n2723 15392\n11555 13460\n1844 19743\n2901 17037\n4665 10062\n16 15778\n9806 18674\n6569 12521\n8021 20041\n13019 14307\n9413 9997\n1983 6227\n3687 19388\n6472 14114\n1755 19786\n191 12516\n3180 15690\n15922 20069\n5789 10880\n2663 15350\n13083 18252\n10174 10382\n2850 18882\n6618 17424\n3755 17443\n1598 14773\n7014 12820\n2498 14103\n8907 18166\n7903 18668\n3517 13276\n8897 20093\n437 4841\n259 19147\n12246 14833\n6187 16930\n3614 3940\n1488 14894\n6828 17038\n8215 8536\n4966 7009\n3216 7753\n13964 17385\n11180 14480\n9960 16372\n3552 14860\n1312 12574\n13344 17092\n4629 14437\n10667 12030\n19500 19680\n12071 12884\n1582 3685\n1574 15372\n599 7281\n4331 11799\n8115 18455\n2024 15648\n15655 17785\n3878 9822\n144 19407\n9551 14792\n2479 12718\n2194 3946\n5740 15526\n3709 16304\n427 15251\n9058 17488\n4279 13092\n5769 20238\n1764 7031\n2358 5452\n10599 16358\n534 8041\n1306 12230\n2281 10489\n4194 10732\n14982 18163\n1990 12712\n10839 12425\n759 13988\n1780 16789\n11503 19238\n4083 4203\n9526 10845\n7897 9788\n16351 19310\n7078 12244\n2268 2996\n3886 10092\n3577 18055\n4831 14580\n139 8692\n8383 19257\n3771 4750\n8163 14263\n328 14941\n531 3859\n3185 9059\n14748 15065\n6308 13318\n14433 14924\n2744 13880\n10053 15451\n1172 14754\n7669 16357\n1220 3463\n9716 17388\n15864 18236\n7921 16811\n2990 6397\n6926 16734\n5226 14803\n3864 17487\n1374 17571\n7708 10078\n3217 12173\n5372 18705\n3462 15854\n10204 10422\n10967 15445\n5677 16740\n3314 20179\n1625 8929\n10003 15250\n5036 11885\n1201 9150\n16687 17005\n14841 18693\n378 13310\n7694 18163\n1786 14548\n4163 19883\n11840 19863\n12452 17839\n5239 8607\n2553 10214\n12590 19920\n10150 15856\n1279 6294\n15387 17593\n16104 19034\n8540 19791\n2512 15749\n14841 16138\n1280 14589\n2209 16798\n8020 15113\n3264 5414\n10589 14468\n2428 8173\n5385 12304\n11153 15378\n9756 12502\n1298 18284\n7688 9162\n6172 19685\n5677 16455\n3124 5038\n12153 12698\n4205 17330\n987 19260\n3063 7353\n12296 16074\n6891 12401\n4266 5704\n15077 16714\n1066 9671\n3875 15486\n5145 5811\n3712 7075\n945 13548\n14576 17443\n3290 5628\n708 9563\n892 10646\n5719 11527\n8709 18288\n2374 18290\n4274 4401\n11358 19522\n3754 18238\n1385 2393\n10657 12148\n6399 10750\n763 11315\n8597 17185\n14553 19991\n1152 16137\n208 8360\n12770 18521\n248 9396\n11404 16141\n2755 19116\n13787 17302\n2597 13640\n386 8906\n9620 18911\n230 2095\n2937 6202\n14107 15471\n958 12955\n7110 11494\n3718 10579\n3251 3932\n13140 16649\n9687 14102\n1032 16007\n9089 16606\n3802 5738\n5721 17029\n14945 18305\n7240 15278\n1490 3895\n20 3324\n12600 15427\n6979 7348\n14241 18567\n7349 8150\n1654 11803\n4340 16503\n13612 18468\n1540 12863\n14426 14643\n6539 12995\n9948 10674\n365 13681\n3896 9093\n19447 19508\n1240 15452\n3602 11047\n3221 17891\n2171 15836\n2443 7290\n1511 1956\n4658 5996\n8969 11466\n11154 12791\n2257 2497\n2100 2810\n6086 13567\n13404 15654\n13997 19601\n8638 14059\n3768 16586\n15167 16358\n4875 12282\n13684 14707\n10282 11481\n1478 6289\n3519 10042\n1603 17215\n1000 5009\n12154 17500\n6536 11225\n12508 15785\n320 344\n8641 18788\n3909 11937\n7366 16195\n4710 9520\n9527 14662\n921 13809\n2474 10348\n508 1940\n3616 16191\n11273 17677\n3169 5566\n5114 10279\n9526 19094\n13024 15473\n4400 15295\n2961 5208\n12233 16170\n7791 11229\n6560 13928\n2357 10966\n12534 19372\n10820 12546\n4732 16777\n6153 12068\n7780 9190\n13946 18809\n4490 18291\n7739 18219\n13742 18461\n3677 11528\n7713 18925\n14156 17556\n5550 16341\n611 9152\n10520 15635\n9039 16007\n5935 18227\n1552 14094\n5023 6686\n8820 15008\n4136 11178\n5493 7660\n13958 19677\n7610 15367\n13268 19688\n5892 9362\n15666 16011\n9638 12771\n15798 20261\n12048 16405\n1123 13841\n299 18203\n6659 12402\n1404 11756\n9072 14929\n7964 19401\n9950 13909\n4311 16271\n3760 5487\n13996 18320\n1185 7466\n276 9197\n1438 13826\n6459 8846\n8568 20239\n2428 4393\n8898 15896\n15696 18875\n2500 17099\n3362 14027\n5811 19168\n10410 20246\n2634 8584\n18651 19536\n6774 19946\n1372 9092\n2485 13066\n3113 13826\n15065 16870\n2795 19662\n43 20055\n6830 15283\n11885 16953\n1084 4451\n9828 19981\n5160 18127\n5721 8321\n133 2792\n6726 7199\n7477 11182\n10700 15423\n4566 13552\n6042 15862\n2869 8503\n3903 7634\n11511 17763\n1025 13510\n4057 5270\n18777 20147\n2158 15883\n24 16450\n14745 17639\n7422 19967\n13608 15538\n2782 9134\n15515 20152\n16259 18931\n5382 10603\n3976 5962\n13629 17387\n15373 18945\n1485 3057\n17610 17783\n5047 19643\n10185 13101\n2239 19284\n6500 11043\n13413 17779\n9346 19512\n4380 17393\n16294 16509\n20094 20175\n3804 4978\n3679 11765\n4636 5323\n6485 16566\n8234 13797\n5660 18243\n3780 16105\n8400 17287\n3884 16458\n2155 8575\n3667 4515\n4203 7324\n10656 12852\n10265 18222\n2195 10671\n415 2080\n7189 9366\n13799 15546\n114 7910\n11573 12365\n17457 19436\n9539 12069\n8080 13181\n14014 15809\n13069 17923\n4151 19273\n15973 16740\n2802 3257\n16410 18353\n81 6046\n17175 18108\n4086 9819\n4380 5295\n13658 15155\n14758 15533\n9080 9389\n16534 17522\n12343 18067\n2812 18603\n1538 17219\n2254 14874\n5723 9410\n8914 14666\n1052 18944\n12421 17554\n9939 11371\n7545 12715\n3600 6695\n10112 19253\n11754 17327\n13483 15122\n14387 16204\n13252 18019\n6374 16763\n7053 19437\n6290 15518\n1926 14296\n2989 8394\n12789 16647\n4207 17030\n1134 13059\n13206 14461\n6469 14144\n5761 20084\n1014 18855\n11352 15235\n11383 12798\n3725 17395\n2181 4727\n9999 19151\n5577 19281\n2536 3197\n14869 14968\n6546 7335\n14527 17518\n9076 10207\n18238 19298\n13869 18586\n4579 6846\n1117 12394\n2032 5847\n626 12557\n452 10032\n624 15766\n5529 19169\n2544 14936\n17941 18506\n8975 13146\n15652 18836\n7812 19012\n12497 17404\n4313 11764\n2461 4946\n3506 15077\n3553 8423\n3236 18747\n6114 14550\n9069 11931\n1857 13379\n18227 18717\n18352 18900\n2801 19322\n4151 7142\n5909 18840\n187 17553\n14215 15174\n4448 9250\n2284 8774\n7089 14289\n5521 14677\n16881 20192\n2114 12158\n9518 13637\n5572 12729\n14962 20147\n10632 13171\n1088 13880\n5377 7652\n19782 20204\n5642 16532\n4790 7305\n6296 18689\n1549 12898\n6488 12742\n4027 19375\n1986 8501\n48 15149\n2758 11274\n95 14874\n8385 13532\n13517 20285\n9643 17392\n3211 13239\n10255 11116\n4612 5534\n3103 11847\n843 4250\n171 5275\n15104 16486\n9731 17198\n1483 13833\n3532 11277\n9789 15140\n9340 12762\n6112 14490\n16096 16975\n1327 11269\n10979 19843\n17100 19668\n4786 8311\n8139 18031\n14623 18393\n7371 13901\n908 8999\n18692 19786\n8723 8801\n14915 16366\n10082 19176\n15714 17526\n6593 9841\n7630 9996\n1869 5975\n6797 10198\n2499 6482\n484 8809\n5710 9327\n3188 19368\n4258 14352\n3920 18432\n1695 5332\n16010 18487\n11274 11301\n4744 9759\n809 16140\n569 5196\n1065 4584\n2485 13203\n4269 15245\n9960 13501\n8257 9942\n1444 7950\n1017 2958\n14183 20118\n4941 9238\n7493 13181\n10472 14820\n86 3655\n8243 9802\n8738 15808\n18 14730\n464 1356\n1345 4056\n3599 6160\n6016 19329\n1036 12437\n4223 6999\n15730 17191\n17752 18909\n14500 14596\n1860 3448\n4591 19853\n12245 15390\n3659 14322\n1264 19658\n9523 15072\n7762 14614\n5712 15140\n3079 14581\n12561 17970\n11961 16433\n12131 18560\n5986 14495\n4884 7707\n14286 16831\n5448 5883\n13532 13772\n5097 18535\n15162 15955\n435 14152\n11295 18706\n6022 16194\n3197 16174\n1888 19477\n8470 15045\n12613 15013\n12928 19157\n990 5960\n770 8746\n13885 18558\n3733 6724\n5239 15506\n1890 17862\n5044 9228\n1795 2528\n13618 17521\n9867 19465\n8102 13672\n2493 7394\n10579 20200\n3246 3540\n10538 16988\n13375 19583\n295 2821\n12486 13534\n7660 9976\n17176 18014\n15004 15402\n3549 9822\n792 18213\n9315 12910\n18988 19591\n2609 7617\n1138 18323\n10727 10961\n12684 12868\n261 2079\n14649 17382\n13136 14915\n13840 16014\n17764 18738\n19868 20015\n5520 10874\n13684 14564\n4085 12170\n16114 17176\n8180 11338\n10087 14039\n1850 4155\n3111 14832\n7839 15358\n9526 12666\n2377 14639\n5683 16972\n8152 13347\n25 13613\n2442 7033\n3479 10216\n3035 10983\n6083 12136\n2091 11208\n1359 6547\n12460 13732\n18309 18629\n1332 12730\n5375 15448\n1234 9142\n8245 15222\n2825 15757\n8949 15170\n10003 12323\n5579 12265\n10197 13461\n8196 10669\n3170 5523\n12880 17802\n5013 8811\n3532 17820\n1785 2277\n515 11958\n14082 18135\n14578 16438\n1576 12692\n12164 16030\n3223 7761\n526 8331\n5656 10042\n13386 16465\n8339 18380\n7328 15096\n17377 17426\n2899 4657\n5290 6651\n4041 12145\n7470 7919\n14446 16846\n11322 12298\n7341 18061\n2834 16064\n259 20139\n9 10133\n7875 11796\n1267 7117\n4497 9188\n11035 16266\n11341 17418\n244 5417\n18311 19209\n426 4418\n8932 19291\n8415 12119\n14707 16727\n12700 20121\n2085 16489\n213 6468\n1067 10290\n1474 13929\n5398 13614\n14162 20081\n3042 17380\n1904 19288\n4574 15632\n5650 14963\n6341 11977\n2417 14837\n12247 16205\n1040 19166\n9197 12200\n10019 14946\n6198 18081\n1988 3884\n449 5915\n1774 16666\n3510 16981\n742 17422\n3353 4888\n3258 8913\n1135 12378\n2581 5890\n332 4825\n3934 19486\n15349 19488\n6187 8875\n18640 20022\n5985 19280\n17829 20028\n4673 8085\n3635 17481\n3384 6908\n7192 16173\n4041 8627\n13370 17707\n13796 17940\n3992 19008\n15002 17983\n296 10286\n3570 12807\n12095 17414\n10366 11106\n16099 17092\n1875 5219\n9474 16128\n13900 15419\n8004 14121\n7089 10916\n10855 18463\n5480 15119\n5728 6287\n15899 19993\n6634 16202\n1166 15888\n13650 13866\n5382 13113\n2735 5347\n1337 18299\n14929 19718\n14784 15647\n4378 17454\n1113 7677\n3622 12539\n7530 20175\n4442 5270\n8152 17675\n5772 7823\n5632 11612\n14598 16622\n10680 15813\n8655 10496\n1716 8846\n4900 15972\n13035 14837\n2590 16382\n6174 15848\n3575 12667\n3485 18554\n1669 9151\n1773 8436\n7319 12654\n11318 19685\n6298 15617\n1775 20049\n3912 5312\n1033 5935\n6942 7925\n5489 16911\n9424 17473\n4192 11550\n6840 19417\n13214 17704\n1074 17206\n16584 20255\n14024 20189\n8153 10543\n5579 18291\n9106 18904\n16897 19308\n8846 12016\n444 7089\n15904 17601\n6556 13108\n7199 13929\n1651 6240\n2782 11494\n13457 19342\n936 3855\n17060 18732\n7079 8754\n2671 9485\n321 2163\n1989 18429\n4693 12185\n10631 16169\n917 3335\n7806 19557\n2045 16623\n3447 4625\n1486 14345\n13111 15642\n15240 19233\n1142 10589\n5810 10165\n12849 14111\n2950 13576\n2293 15972\n3840 16644\n9838 13375\n11930 14974\n18169 20109\n11963 14020\n5752 12023\n10819 18585\n277 18898\n14428 17134\n3799 19177\n16307 19366\n5058 12720\n1973 15559\n6644 20029\n7564 17621\n3527 10985\n14491 14614\n1962 17211\n2074 8013\n9219 19330\n5367 10264\n12646 18716\n4940 18944\n6069 7837\n1619 9028\n5103 8676\n7789 10143\n12221 19176\n8575 17687\n1135 14318\n8076 9491\n3445 12276\n6185 17948\n3077 16298\n1390 6940\n11105 11801\n6234 12293\n6957 7403\n3938 16458\n2022 18789\n11061 17268\n9209 14652\n3236 5019\n8013 18790\n15323 18101\n2601 16677\n7141 19176\n2735 5835\n9670 19433\n2356 9256\n1252 1480\n3618 6645\n8353 19583\n1784 6787\n6087 16835\n795 10530\n268 7968\n16317 20210\n17729 19501\n544 5590\n5752 10619\n1321 10437\n9523 13247\n12205 16972\n11274 13841\n10793 11619\n1400 17593\n18614 19287\n9600 13246\n4029 14133\n4250 13602\n2968 16776\n11987 17305\n12817 19554\n12478 18144\n7597 12201\n6267 15737\n5676 16201\n3295 15794\n16997 18093\n453 18552\n1291 12843\n6276 11464\n329 5975\n1478 12953\n10872 14412\n102 7868\n4089 12385\n5963 18609\n6486 8572\n8514 12486\n4865 18541\n3368 15905\n2232 9308\n1000 12275\n8991 10292\n6464 7846\n6952 8269\n14585 18655\n425 13332\n6765 14768\n2417 4665\n10821 15334\n1238 1646\n3686 14664\n8703 14954\n5789 19677\n5999 17431\n6914 14937\n6419 14961\n12645 15535\n4581 17745\n877 8883\n8465 18616\n2828 17864\n15184 18732\n11306 18522\n6464 14977\n17367 18704\n4486 19333\n4766 6710\n7062 13811\n9841 18430\n2054 18079\n3126 13461\n9255 17467\n5380 16448\n7490 19166\n8754 15065\n471 10473\n2697 12146\n287 618\n2623 6356\n15345 17625\n11879 15449\n11254 15265\n11686 13776\n8796 12353\n8787 14441\n7215 11837\n1872 3331\n10932 11740\n2618 18148\n8804 17419\n3334 6540\n16961 19584\n376 4809\n3885 17831\n8226 19585\n8725 12567\n3918 10487\n8279 18809\n18934 19267\n14129 19186\n1904 10525\n2391 11910\n7972 15224\n16195 17119\n855 19451\n3287 19450\n913 3988\n4036 4275\n3541 4535\n4381 17103\n1521 17912\n9165 11989\n9600 19708\n740 11803\n12138 12698\n15069 15332\n2239 5049\n2546 15090\n7503 16754\n4336 16460\n1652 9835\n2066 4658\n451 19491\n4234 5249\n3979 7847\n1949 5970\n4016 9655\n9501 19337\n208 12044\n12307 14370\n7483 11593\n13959 18334\n4934 16577\n1268 2266\n5734 8924\n845 2939\n932 13214\n19516 20002\n15376 15721\n9658 14998\n18100 18568\n1648 7482\n2276 2359\n3348 4675\n3241 6055\n9093 10914\n832 8904\n9095 15123\n7833 13349\n239 6421\n1795 5902\n1595 19494\n6008 7034\n9242 14438\n3768 9756\n7221 18068\n12199 14249\n5258 16900\n6636 17137\n2553 11448\n7044 18688\n10733 17983\n1675 10311\n4274 12473\n5916 16695\n1478 6612\n12843 18504\n8671 17480\n12764 19483\n9100 19657\n2443 20258\n6945 9182\n4413 12727\n10060 18895\n1564 20207\n3700 16564\n2859 12671\n15653 19870\n5016 5152\n1658 12860\n7077 12163\n628 15447\n9169 16689\n2906 19594\n7949 8034\n2826 3164\n8300 18759\n6650 7639\n2401 19189\n2364 18916\n13216 17651\n13232 18887\n6295 17469\n10634 10734\n3233 16471\n10740 19621\n4200 19331\n9044 19522\n2977 13570\n17257 17632\n6029 15208\n1509 12670\n14222 18210\n15886 15958\n281 18294\n4768 19171\n12953 16733\n7741 12799\n7207 20026\n3949 13383\n2860 6888\n1027 3959\n1946 13217\n3858 9749\n616 19399\n1601 11930\n1099 6547\n7957 12564\n13033 16224\n5549 12233\n13975 19576\n5689 7455\n6034 18799\n4734 18168\n6238 17239\n10692 11074\n12377 16303\n8885 16168\n5513 10075\n3716 10957\n3471 18543\n160 6259\n9447 13120\n146 13796\n4021 17734\n300 16481\n10374 12546\n1922 9306\n1037 11400\n304 7209\n9862 13173\n10331 12490\n15631 15998\n11873 12657\n6587 9721\n8764 9252\n857 14799\n1285 15356\n6301 7270\n11697 20188\n15463 15984\n18877 19428\n15522 18012\n12763 15776\n10106 20211\n253 15183\n7102 13852\n1507 17722\n362 5756\n4521 15100\n14524 16474\n12327 14528\n677 19072\n15198 17453\n4831 14972\n5914 9718\n12059 16782\n10901 11116\n18955 19221\n2935 15775\n11588 12616\n4621 18442\n477 20044\n9052 12742\n6144 11333\n628 14334\n6673 16085\n14660 16798\n10803 19157\n7808 11296\n5066 9422\n13109 18343\n3365 7543\n3484 5097\n11739 16783\n5200 16111\n1367 10235\n5818 7945\n16025 18323\n9713 10173\n5986 9278\n6286 15967\n3092 10328\n11283 17956\n6957 18228\n2825 12025\n1864 12372\n13928 15325\n8191 16576\n2255 2654\n14844 15339\n3894 6776\n325 4183\n3553 12966\n6421 11897\n1465 5877\n6776 19301\n2461 9946\n5776 13659\n12943 14353\n11638 17508\n5299 6009\n7391 17365\n6777 19925\n10800 12767\n14635 18230\n13031 14709\n7605 9951\n8761 9789\n4984 5716\n2547 15041\n33 16171\n2779 13888\n3595 9645\n9996 18586\n7591 11427\n492 1211\n9397 16700\n8792 11121\n7797 13673\n4229 18446\n8166 18632\n177 9494\n8654 19037\n1492 16530\n2873 18440\n18591 20175\n8388 15141\n6353 14159\n7906 20025\n8690 11443\n12653 16505\n14452 19668\n9785 12832\n967 7540\n13717 19929\n9557 12841\n1737 4388\n5073 19950\n6042 20042\n2830 11567\n9967 19488\n14825 19155\n3636 4427\n1982 13270\n9161 15341\n8422 14982\n16761 18946\n13315 14008\n19261 20205\n233 1106\n5827 13066\n1352 18985\n3125 6932\n17065 17896\n10826 12262\n1946 6834\n17197 20158\n8811 10086\n8346 8636\n3867 17633\n1803 15592\n7401 18366\n18931 19405\n1929 2180\n12016 18181\n16178 17925\n541 5823\n3189 15429\n294 12770\n2893 4545\n9252 11673\n1257 12469\n6587 7266\n1230 8085\n15910 19644\n9296 9310\n3249 17035\n10001 18719\n11952 13381\n5533 15231\n11127 17657\n14916 19853\n3202 4779\n1605 4849\n3250 4645\n2773 14749\n9329 10640\n9495 18712\n442 6074\n462 9609\n2337 20127\n2820 4769\n1595 6902\n10878 14333\n3898 7874\n1657 18730\n15235 16491\n139 17802\n10437 19457\n2760 7835\n1303 8832\n9641 16915\n583 2728\n11868 15919\n3277 9162\n13113 17314\n3830 20142\n5195 16024\n2624 8701\n8499 10720\n9491 17547\n17581 18962\n11152 16759\n4201 14590\n6101 15077\n864 18120\n2310 4384\n1880 7903\n5639 10876\n9591 16041\n1205 16349\n1763 6952\n6740 15066\n3306 15776\n10474 18920\n10741 19580\n4876 19834\n14325 14429\n15765 20112\n14291 19558\n10333 17900\n8783 9446\n2658 13406\n2611 12556\n4008 19951\n9405 13189\n3970 13991\n2795 20027\n1119 8272\n14461 17390\n1259 2719\n1645 10774\n6529 8432\n7020 7412\n12123 18082\n9601 18961\n11269 14208\n18765 20041\n9613 17108\n5016 12060\n6423 12463\n13115 15144\n6743 18257\n18058 19390\n4620 15632\n16884 18714\n1293 9039\n1961 2805\n5271 10366\n14790 18507\n673 18299\n5165 8228\n12488 18070\n11821 14022\n5090 11452\n13687 18756\n2831 12045\n2644 3989\n10319 14620\n3045 11839\n2045 8832\n8822 11628\n1307 16627\n631 5575\n7568 16373\n793 16906\n6213 8336\n2965 3747\n3378 8001\n8560 16435\n7129 8647\n1669 17467\n2166 6026\n196 12583\n3586 7536\n9690 10421\n14739 16768\n674 5093\n6070 19864\n2114 16419\n12271 15032\n15680 16621\n8407 17152\n8524 15733\n13824 14006\n4136 11458\n17529 19930\n15621 18954\n10471 13615\n4410 16766\n2013 17707\n6666 8072\n5271 14535\n12614 19817\n5564 17118\n13076 19220\n13270 19924\n12067 13556\n2389 12092\n5541 17737\n6833 9585\n5403 9733\n1675 7198\n3048 16815\n11655 16457\n6636 11809\n4403 16181\n2938 13493\n13684 19680\n3994 11317\n1379 7757\n1666 11342\n2904 17031\n11958 17680\n7261 16219\n11228 19763\n14578 18041\n5761 11774\n4836 4843\n2327 6718\n12632 16143\n781 5200\n7322 9280\n2158 4767\n10593 16946\n11351 14264\n4952 11683\n6935 14783\n9093 20075\n4983 12164\n16982 17420\n1474 9715\n547 19752\n10421 13654\n1945 15800\n1385 16922\n280 10588\n3627 18423\n12270 15717\n11426 14818\n7047 18267\n10234 18904\n3765 11071\n4929 6350\n4586 16834\n924 13572\n841 4626\n2166 14482\n2376 20277\n2150 9748\n16168 19538\n14789 15068\n4730 13609\n11176 11524\n3140 8981\n7068 13840\n5222 9902\n13290 18527\n6000 8555\n11364 17161\n2345 7285\n3248 19813\n6380 6655\n1313 1870\n10465 13653\n7634 16031\n931 1174\n8425 20218\n14736 16236\n4353 9543\n6736 15285\n10067 14641\n8664 16601\n4400 16646\n1212 11230\n3877 11928\n15843 16036\n2490 11035\n10247 12383\n681 10148\n4657 7123\n11187 14806\n7305 14989\n3233 4747\n6327 7180\n6286 7071\n10396 16606\n6265 17798\n5959 11658\n13001 15927\n11457 12349\n11265 13918\n12288 13390\n3283 13206\n1646 16413\n12716 15753\n4284 19172\n10467 19510\n10570 14539\n5602 14857\n4579 17345\n3761 20230\n3888 15010\n12443 13977\n890 9087\n5666 12149\n19631 19962\n6098 8538\n6226 17490\n5874 15439\n2970 11320\n7477 15563\n6066 9548\n1947 10357\n2388 9175\n9227 19631\n1592 14617\n6595 15786\n15134 16210\n5770 18274\n5795 17737\n8281 8675\n3018 6353\n8309 9408\n864 7229\n18387 18618\n2513 18660\n8538 16450\n10792 18527\n9791 14117\n11977 13725\n3445 8181\n11197 15333\n14209 19327\n9971 17702\n5816 6454\n5606 12725\n6550 17735\n15223 16730\n11984 18826\n10462 20027\n4992 11046\n16810 19994\n2103 6118\n4208 17946\n2593 6392\n4905 10202\n3213 13230\n2650 8514\n1493 11481\n3227 4666\n7244 13858\n6516 9157\n18165 19038\n8818 11608\n14907 15825\n1459 19163\n4577 7957\n4352 6375\n744 13261\n2549 6851\n7004 13001\n3177 4076\n1424 17632\n6719 10563\n7604 19577\n7420 12931\n4884 19391\n13972 18499\n8850 17340\n5074 18437\n5190 8795\n4305 19181\n1482 15042\n2324 2558\n15047 19884\n6443 19312\n4547 10525\n2401 8744\n3820 13549\n4773 12160\n6330 14111\n18728 18937\n11698 16417\n2088 11018\n9300 9567\n11242 17748\n10970 14203\n7203 15167\n5725 20172\n2772 13744\n10955 15427\n4371 5614\n4321 10893\n5119 10540\n12271 19407\n7277 19425\n18670 19882\n4985 10040\n1907 9442\n4175 11998\n9859 13939\n4947 17069\n8946 15347\n11557 20260\n13909 16773\n13253 17844\n3498 4904\n4539 11595\n12035 14180\n2833 14525\n9572 18262\n1901 3221\n1398 18849\n9097 10252\n254 7323\n5675 18246\n5447 17560\n1977 9286\n9995 10754\n6660 12485\n959 10323\n5655 8446\n12591 14748\n4082 10489\n1005 17336\n4409 11603\n3474 8825\n3391 3747\n4112 16224\n3299 4052\n700 7451\n7814 12408\n8641 19222\n4380 10950\n9873 15723\n907 19156\n9320 12029\n9475 16327\n4945 19722\n57 13079\n364 9561\n9525 10215\n4696 8895\n14185 17099\n1409 2190\n2469 17249\n13032 16480\n6432 9727\n8440 12309\n8980 15162\n11072 19141\n5805 15339\n10461 12806\n2247 17716\n8613 12769\n8986 12658\n6672 16672\n1384 10328\n5397 17524\n14395 17999\n5614 15187\n10413 11922\n1306 7024\n8177 20284\n17365 18311\n751 1306\n14802 19041\n2320 6517\n4549 11441\n2886 5232\n4716 9858\n6156 13503\n323 14318\n6006 17546\n1691 16135\n14133 18940\n1410 17218\n1246 12215\n4847 8965\n5176 19814\n11344 14603\n9388 11400\n3408 11739\n1140 12404\n4841 6616\n5194 7296\n6299 19505\n1432 11942\n9921 19534\n4921 7296\n726 18196\n6427 10305\n2082 6440\n7424 15166\n6322 15894\n3387 19968\n1320 20009\n3920 15737\n15870 18545\n9544 18797\n916 11313\n3264 17832\n1922 10162\n2845 10950\n12589 14117\n112 2431\n2522 12100\n2575 9140\n4779 20185\n11814 19543\n16886 16988\n3264 5591\n3705 17777\n6833 11807\n11860 12682\n10427 14471\n2638 17883\n205 18079\n3144 5373\n2668 20162\n18 508\n16492 18977\n16878 17329\n1525 2194\n8077 11230\n8005 19553\n5138 15669\n8689 9840\n967 8941\n2188 15539\n13320 19158\n2594 15846\n2568 10612\n5281 11246\n9304 16662\n12518 17796\n8893 10814\n6598 15846\n10902 16294\n14173 20233\n10597 10609\n13043 19071\n17486 18599\n13266 13567\n3299 19064\n551 7807\n2178 13199\n13150 16535\n3923 6192\n4856 15066\n6161 17674\n16691 16969\n9723 18131\n3723 4136\n1771 13821\n3972 11862\n5795 18253\n15338 18564\n13091 13239\n4529 20210\n6466 11826\n862 15315\n2888 14526\n17593 18608\n15269 16318\n9851 15058\n15190 15751\n7508 11259\n8130 13951\n6600 7308\n2565 20083\n6053 6341\n7556 9372\n11520 11914\n950 19875\n12045 15934\n583 16461\n3805 10541\n6651 19033\n9998 13791\n6162 10283\n4490 20162\n15248 18163\n19005 19942\n7198 8511\n10816 14005\n10642 17012\n15016 17276\n17248 18023\n8490 18477\n9456 10143\n2328 14135\n6499 11532\n18225 20194\n7884 19982\n7926 19488\n6117 15755\n1036 11268\n3865 20161\n4353 16893\n13064 15012\n13018 16749\n538 8790\n11047 18125\n12911 18650\n7758 16344\n2726 14844\n13513 14673\n10347 18231\n13376 15565\n2456 3857\n2092 2736\n9999 11962\n12739 14133\n2741 4550\n10657 16346\n13005 16806\n4945 9692\n178 594\n6590 12846\n9606 16090\n12373 18466\n15745 19663\n3272 16882\n5376 10376\n6124 13116\n4121 9324\n12821 17897\n4704 5150\n6558 7534\n5293 15447\n5815 8820\n2455 5157\n6862 10830\n12729 13744\n18014 19169\n11615 15832\n18755 19024\n5774 10599\n67 13107\n2521 18506\n8326 15481\n7431 18066\n436 2203\n318 15799\n5232 15142\n7825 9365\n1602 20219\n2271 16990\n6100 6969\n3582 4010\n2724 4210\n15496 17575\n691 6416\n1356 11337\n7607 14357\n1247 10086\n17936 19154\n8396 8872\n17736 19678\n3011 7465\n669 5257\n10367 17840\n1475 3384\n7963 9455\n3886 7607\n3752 7124\n18042 19396\n2496 11029\n5758 18811\n5947 17305\n51 2845\n6108 9796\n787 19011\n1322 5150\n1776 3621\n7915 14101\n3434 13301\n6728 8369\n896 14430\n210 1244\n4909 5689\n17091 18709\n567 4291\n352 8441\n15580 16925\n8762 10955\n2497 2944\n9633 10418\n3793 6924\n6908 11929\n2776 17015\n10921 19301\n606 14926\n3870 9263\n9574 19950\n1323 9079\n7417 18906\n12002 18212\n1265 15396\n7217 12922\n18102 18162\n3232 12614\n3391 9332\n5371 7931\n5572 8811\n8520 17294\n2927 4802\n4685 13366\n5617 10529\n13000 18047\n15734 17066\n15861 17040\n8889 10363\n1575 4841\n569 18072\n13457 16685\n5668 11546\n9828 13785\n3628 19790\n9526 18642\n3816 8491\n855 16193\n3936 13333\n3352 6308\n6788 7932\n6670 14460\n58 5329\n2705 12849\n12483 19638\n431 9299\n2015 17016\n649 1664\n17906 18974\n2830 10178\n7174 19786\n11836 11878\n4499 8835\n14471 19997\n751 13460\n2407 9859\n13104 17890\n5054 18898\n2238 11063\n469 14985\n11427 11875\n4492 10230\n11350 13016\n5086 7124\n10426 13259\n1606 14176\n16152 19486\n9943 12608\n7021 10504\n6394 9848\n10280 12984\n3231 10426\n5009 5808\n8462 19361\n12421 13629\n15001 17976\n5034 8910\n8939 16135\n468 9175\n2984 9781\n11008 14628\n17057 17633\n3597 6188\n6535 12567\n3836 15497\n16106 20188\n1742 6009\n12316 18696\n2247 7164\n13113 18719\n4541 9949\n10729 15516\n10566 16630\n444 8970\n12169 15352\n16210 16565\n3302 12860\n8979 12949\n2699 13864\n5388 10244\n6825 18071\n11408 14692\n1803 15109\n2273 14813\n408 771\n12722 14955\n3095 5236\n1364 1406\n363 4471\n4859 8044\n6191 15051\n2931 13203\n10213 13368\n2379 6926\n15051 18836\n4426 17997\n6215 9188\n7411 20128\n1498 16497\n5761 14231\n6303 18239\n6587 15234\n10001 13001\n6663 10558\n2136 14345\n234 7398\n10094 16433\n13311 14307\n15077 17512\n1280 14571\n5125 11369\n923 12779\n5733 17431\n13015 14282\n14593 16700\n10093 18320\n6840 7470\n6464 10409\n8114 17756\n657 9166\n2978 14164\n11073 15743\n16845 17376\n11516 14341\n4653 9260\n3270 19591\n5155 8109\n4608 7518\n8086 15862\n7247 7845\n16346 16441\n1400 12611\n75 3525\n210 15786\n9371 13222\n12439 14965\n3850 5164\n10995 15322\n4119 20092\n6273 8624\n11827 19238\n10515 17327\n396 8651\n3451 18339\n1164 14405\n9167 15619\n795 2491\n2079 12708\n4218 10078\n7824 15693\n5882 11917\n700 8009\n13096 16869\n5627 15862\n5852 13821\n2843 11750\n9002 13798\n14560 17085\n4577 8440\n17244 20217\n5133 10207\n10204 19569\n6013 13542\n14958 18038\n487 5456\n12158 18876\n1007 6513\n2057 13024\n1281 10646\n4611 13012\n9908 17803\n16051 20125\n6946 9252\n9174 10579\n5223 14934\n1859 12942\n8354 19543\n1982 6010\n10857 11644\n8861 19774\n11786 12128\n609 2081\n15423 19233\n10045 10712\n3957 11133\n3772 18796\n2303 10986\n12990 17095\n14222 20144\n11934 15092\n11522 11865\n1792 19840\n6809 12573\n8543 12140\n2927 18064\n3879 9965\n724 12759\n10035 14490\n3736 14851\n2971 5138\n3015 15850\n1590 12115\n2299 5826\n10848 10865\n10235 10254\n6916 9896\n2570 2791\n3278 12679\n1500 13861\n16753 18129\n7917 11139\n981 3979\n4463 6584\n4352 7403\n2079 14171\n5273 18186\n8911 17099\n6015 20060\n15037 16025\n5481 13636\n3331 9257\n6996 20176\n2440 3778\n1276 13160\n13487 13549\n6043 10776\n6355 14734\n12459 18464\n9379 11372\n7438 13044\n8836 16720\n1037 19576\n13840 18892\n11131 14912\n9795 16825\n8486 20193\n3119 19144\n4408 13580\n1669 12905\n9090 13008\n7157 19418\n8748 17781\n6204 12529\n4549 16511\n6898 11379\n490 12082\n4820 20277\n15096 15899\n603 5364\n220 10736\n16657 17444\n2053 19623\n9274 13524\n3430 10649\n6084 15999\n2366 7983\n4371 5573\n9164 9555\n1914 17894\n9237 20075\n5877 17595\n3504 20020\n1400 8084\n3585 6231\n851 6555\n6041 19886\n1682 15205\n10445 19545\n11378 16923\n1313 9939\n790 9268\n3884 12041\n5402 8281\n3440 16495\n1752 15241\n4363 7027\n13765 17792\n11742 14271\n10986 16428\n4334 5512\n5921 18171\n2801 12021\n13096 16635\n6984 8822\n561 11908\n2005 2693\n17117 18991\n1067 12731\n4433 18421\n13703 18078\n2487 18932\n7105 12948\n2192 16004\n8386 18056\n1849 15898\n3892 16951\n5358 18355\n15612 17805\n3851 19466\n2654 8697\n10223 16719\n10061 20020\n9634 13642\n9868 11373\n7797 19530\n386 19859\n14226 15168\n9952 13036\n4021 12439\n15979 17156\n10805 14292\n12279 18653\n8366 15976\n4665 16374\n11945 14794\n12481 15640\n11816 19674\n11818 14719\n5661 10236\n11294 15691\n645 2849\n502 14726\n4737 4926\n8872 17191\n11825 13984\n5125 18067\n3075 6756\n6896 9618\n1338 3698\n12240 19778\n11716 16443\n2309 17705\n16671 19160\n4532 14349\n10391 14325\n1726 2761\n1675 14612\n9870 11010\n10069 11609\n14012 14829\n9045 11322\n7342 13203\n8520 14724\n10006 19121\n16210 18460\n14355 14700\n7611 15104\n751 2326\n4920 17298\n4793 16989\n13650 14526\n5434 12077\n5329 9340\n10025 11387\n10399 17124\n801 10899\n16331 18193\n17071 19930\n3863 15573\n14686 18223\n6258 11076\n8589 13094\n13679 14366\n862 15353\n2343 13028\n8162 9603\n10403 12311\n3153 6068\n455 7062\n1469 18099\n4449 17267\n13491 17816\n14757 20090\n230 11334\n10606 14146\n7540 17041\n12669 19746\n1688 19774\n6522 11767\n514 11010\n2638 3203\n3747 16265\n9106 18093\n17199 19073\n4895 9852\n3121 10585\n1474 16161\n12839 15092\n9275 13212\n6276 9501\n1729 11653\n12373 17577\n2924 13225\n927 10482\n1169 7934\n5707 12085\n18807 19174\n2070 2177\n2914 9891\n11866 17160\n7505 15681\n576 19665\n3368 15000\n4876 12101\n5820 17035\n5383 12110\n1026 14052\n2477 6016\n17781 19331\n12999 19006\n1637 18980\n7317 19293\n10797 11159\n11956 18053\n1965 15874\n5722 6491\n6779 19052\n8340 9697\n7245 10240\n11611 15454\n16587 17501\n8303 13217\n11505 14669\n3462 4678\n4844 16511\n1399 2834\n3331 11023\n11074 13303\n8332 19790\n687 1266\n7629 13241\n1021 6545\n14665 14768\n4066 17186\n10731 16849\n17390 19777\n6232 15397\n11769 18066\n9676 11214\n3310 5653\n13891 15186\n6363 11598\n5855 8250\n4865 12257\n9492 16799\n6262 9478\n5039 16137\n18643 19046\n13573 18408\n9715 11952\n14481 15336\n15038 19142\n1791 8761\n9247 18013\n9032 17033\n14537 15577\n552 17557\n5368 8443\n16489 17167\n16578 18663\n5520 17112\n8993 14307\n4584 4693\n3951 13258\n11275 19183\n6664 6859\n2936 9272\n949 2425\n10703 17505\n2492 11894\n2699 19143\n3497 5467\n1773 4307\n3195 19893\n17143 18780\n963 14542\n1491 13811\n4848 8740\n2781 7113\n2681 18271\n5172 15576\n4697 7863\n4611 15882\n6345 17731\n5859 7316\n11285 15568\n47 18956\n3952 13560\n8948 18879\n1348 9471\n904 12205\n713 9825\n131 5067\n1758 11750\n5889 9676\n4455 14605\n762 3467\n16094 18712\n1296 7128\n18065 19575\n2860 13150\n4443 13992\n65 17189\n4271 16237\n15825 15981\n4069 5226\n10646 16508\n5302 15253\n12625 20173\n15961 19852\n6990 18049\n40 15612\n6177 11100\n7120 19712\n5941 13628\n2091 6565\n2332 20067\n5014 13862\n7929 17146\n14456 19550\n4297 14177\n14035 14299\n1097 6197\n4830 11548\n5125 13180\n12774 16312\n564 18768\n8844 11946\n8728 9378\n5126 18962\n4821 14161\n5413 18175\n10633 19744\n9609 14787\n6870 11986\n10207 19751\n15222 19654\n729 1191\n1085 15086\n3363 6578\n15016 17292\n6687 16906\n7249 7435\n14223 16675\n801 8323\n1545 6386\n72 681\n16973 19352\n1995 11804\n2983 2996\n17364 19922\n979 15863\n2695 16692\n5240 9434\n4160 9952\n15682 19559\n937 12591\n2251 12042\n11609 14187\n3714 4860\n9894 15717\n11231 12069\n6615 17980\n1959 18108\n2025 14418\n12852 16490\n1840 10313\n2475 5461\n2340 11792\n3621 10154\n2447 9819\n2377 16982\n10115 18445\n8280 8928\n6272 19746\n4789 18387\n269 621\n4937 5748\n8566 19442\n14595 19231\n6804 11637\n1782 7517\n1258 9058\n5880 16639\n13490 16187\n14361 17836\n8460 11723\n14688 17020\n6413 9842\n1030 11837\n9306 18951\n2698 4573\n16568 18497\n5382 8059\n10355 18098\n40 13045\n3803 18275\n6317 18043\n7821 8378\n2071 5034\n7450 9328\n974 1088\n15312 17297\n8141 12991\n19473 20159\n211 7945\n14554 18932\n1286 12296\n4203 14719\n426 7450\n6031 13545\n2425 6910\n8338 8380\n801 14432\n5278 16957\n5030 13985\n7295 18636\n1504 9717\n1723 14737\n1406 1985\n752 10954\n13889 17775\n1913 8546\n452 3945\n398 8991\n13163 17311\n4872 9879\n5307 19937\n7044 12014\n3938 12342\n14807 19779\n1480 18527\n6848 10497\n13143 18709\n10664 11594\n6620 19783\n1925 5453\n7953 8860\n8133 14369\n2798 15553\n561 10692\n16768 18358\n1903 3843\n18504 18543\n14334 17209\n11030 15146\n14331 19389\n14074 19506\n8089 10144\n1811 17293\n16820 18553\n1447 17487\n4994 13832\n546 10868\n5668 16065\n4796 7348\n5217 17146\n1044 18098\n1196 12421\n11771 14673\n10253 13047\n952 9372\n3569 12276\n11958 17525\n11239 16058\n7825 19992\n17312 20099\n7878 11045\n7592 12911\n1979 4700\n283 19047\n1956 3699\n6071 17814\n4679 10867\n9971 12735\n5104 10057\n372 17084\n13031 18899\n15873 18161\n2504 6880\n9665 12028\n3212 12710\n1356 1661\n499 5452\n5218 18135\n3841 9927\n4019 9802\n2515 19918\n6073 15540\n1930 4540\n787 7584\n14235 16206\n8205 9284\n8980 15442\n2459 13503\n8531 10395\n8177 13772\n13435 15940\n2395 12384\n2774 13120\n15739 16983\n1146 8513\n6045 8484\n10298 15095\n3500 14558\n5070 6855\n5794 13285\n17555 19251\n8593 19378\n7970 11506\n14558 19567\n1627 11758\n1554 12573\n2421 16040\n11342 11728\n11302 14721\n894 15507\n6303 7562\n3091 6242\n3373 12300\n6043 11479\n4154 9768\n287 13124\n15219 17546\n15614 18182\n1058 1543\n687 14273\n2204 4321\n18645 19156\n8168 14396\n5230 7163\n5243 7097\n119 15782\n843 10392\n2721 11610\n1629 15306\n2678 12904\n4741 14799\n1624 13546\n10133 11045\n3368 5188\n1857 4948\n5634 17930\n10254 14307\n2714 17378\n9024 17472\n17748 19156\n2238 10911\n4548 6146\n9605 10346\n1063 20245\n6998 15469\n786 3365\n9818 13302\n3058 6113\n6931 9563\n5201 16235\n3415 9230\n7081 9975\n1838 17067\n3736 7306\n3735 8374\n3200 5520\n11313 15079\n8151 20217\n1142 12641\n11609 14869\n2045 15359\n6032 15231\n1343 3722\n1389 11292\n10057 10422\n4949 20109\n13045 18291\n2528 14676\n6786 12314\n13692 14348\n2326 13059\n15703 16270\n7074 7493\n5103 12040\n416 9705\n8317 16363\n9546 12700\n11219 17209\n695 1449\n1709 13873\n14883 18889\n5640 7146\n5653 10614\n5781 18823\n13151 16940\n4359 8697\n1604 13545\n14694 16082\n12978 16385\n6901 14124\n9108 15525\n3221 5036\n10108 18729\n3787 16955\n3161 11790\n3153 5914\n3657 10364\n14676 18278\n8100 17826\n6802 14604\n4913 5783\n4915 13121\n8994 9442\n1737 9790\n3873 9158\n2773 10284\n3188 5463\n1734 7430\n11604 17368\n9650 13966\n4764 14559\n4425 14901\n17246 18472\n1268 2687\n8851 16995\n2003 15322\n6496 8155\n12729 16458\n6152 19829\n16430 19047\n7844 13768\n10621 14287\n473 15492\n9347 19627\n14080 14823\n3593 12517\n4296 15271\n2862 12780\n11705 13762\n10905 17825\n571 14519\n7738 18016\n276 11822\n2465 10488\n3223 14971\n4772 19525\n4226 10651\n7564 13471\n5941 9541\n8898 13290\n4321 8299\n7412 14444\n880 4948\n3346 18572\n10418 12004\n4720 9490\n3363 5144\n2301 4956\n2946 17202\n1307 9413\n13109 16298\n12375 14240\n652 4831\n294 15415\n7193 15476\n3780 12115\n4596 16600\n12736 17372\n1824 5767\n17591 17979\n14945 18091\n191 6080\n15800 20167\n1590 6655\n2399 9282\n7614 11431\n7270 19039\n12404 17305\n443 15771\n9521 19491\n9708 12099\n11352 17317\n816 3090\n1017 9315\n7591 9109\n9647 10656\n3698 14935\n17649 19857\n10259 14235\n11718 20120\n4283 8520\n165 15392\n1166 19365\n6150 11792\n3748 8679\n2718 3489\n6642 14996\n6209 8985\n4499 13846\n6152 14272\n7527 11823\n4351 11326\n4478 14228\n15958 18881\n2575 16706\n109 14280\n402 10614\n14825 17024\n6082 11985\n9172 12949\n16949 17948\n9690 17591\n1011 11457\n15925 16897\n2008 9175\n1632 13877\n6375 11041\n8852 13431\n5266 5462\n948 18152\n15986 16725\n6948 15605\n6350 8819\n13355 15009\n4948 15399\n3920 16153\n7080 14195\n9615 15558\n54 2439\n8466 16085\n9836 16003\n10823 13033\n14396 15105\n2756 7588\n12847 17331\n15524 20077\n1888 13785\n7277 17574\n5806 11453\n9475 14020\n9154 19548\n4153 11191\n8726 9271\n10805 19348\n367 9091\n5553 8488\n13659 16878\n4771 12487\n7889 11164\n5842 14058\n1890 10212\n5053 5314\n13422 13539\n9142 16885\n3884 9462\n7721 16473\n1661 6279\n4822 11437\n8494 10683\n2018 9747\n15707 17936\n5485 13701\n3533 16131\n7512 15840\n14145 15527\n5434 9860\n8113 12045\n3143 16371\n11852 18994\n3932 17631\n5654 8086\n2988 18275\n3615 11740\n18273 19586\n8091 8579\n729 2320\n5586 12605\n17383 19947\n11657 15109\n5701 16829\n14674 20155\n10452 18378\n12750 12855\n11405 12413\n5376 7906\n4016 19571\n2951 17391\n4604 5475\n12449 16975\n11373 12017\n2099 8855\n5910 14329\n14474 18353\n13563 17497\n7196 8566\n1470 14293\n2567 11115\n6999 7686\n7104 17352\n2500 6713\n13079 14359\n11827 17540\n8339 8422\n7213 16311\n10858 17929\n13271 15502\n2057 9001\n10130 14064\n6215 6218\n6770 9386\n4811 19913\n5034 14497\n7012 13066\n8740 14064\n13408 18401\n15767 17401\n8791 17287\n2374 3209\n1507 18022\n14242 18886\n13915 17827\n8921 13133\n4135 20118\n1130 9907\n2729 19724\n8976 17371\n15126 18518\n4275 20232\n8788 11758\n1623 14410\n10444 12607\n12668 18890\n4251 11313\n10237 13776\n9260 18199\n428 10302\n187 11276\n7992 19674\n7629 12971\n1405 12270\n11848 13842\n2181 14563\n15951 19812\n1778 13348\n8386 19335\n3900 5277\n10047 13505\n11968 19167\n15443 18554\n5374 11799\n8093 11604\n2481 2802\n11442 19259\n13590 20158\n4060 20070\n5142 12657\n8464 15131\n3166 10622\n2086 11191\n8011 10715\n2904 13118\n7739 13914\n7958 9508\n8337 18845\n859 4127\n2924 12555\n1795 15535\n17116 19030\n4699 14326\n4827 14926\n9448 12744\n6223 17433\n3090 9149\n4709 5441\n275 7431\n2985 5101\n14404 18296\n18279 19429\n17996 19057\n12490 18491\n7390 10647\n7226 9865\n11139 14566\n13091 17166\n9944 17617\n4780 17559\n1828 15143\n8773 13543\n11300 20070\n7305 19432\n387 17033\n476 14045\n1959 16242\n5473 13804\n11354 17488\n11615 12086\n7544 19902\n1739 4409\n15623 15812\n4294 15582\n4104 16452\n582 19311\n7105 19564\n771 2968\n18500 19205\n15620 19713\n7891 12752\n1559 3052\n6695 14642\n7227 10231\n5075 11591\n9955 16005\n8170 12992\n6 14907\n3158 13141\n23 3407\n9327 20118\n295 16919\n5045 20020\n12469 13113\n4245 16922\n10801 19227\n13796 17286\n3945 16358\n6814 11166\n14185 19450\n4004 12267\n4447 16395\n14059 19865\n4122 6632\n5271 8016\n11968 16824\n16241 17327\n6083 13677\n18018 19993\n5810 18208\n16913 17025\n15077 16424\n17033 19678\n4625 8157\n1258 8511\n8019 9363\n4713 17802\n14828 16397\n11324 18134\n11669 14693\n14341 16455\n1001 14075\n1756 6297\n2359 19792\n270 17183\n1819 8447\n17692 20182\n6085 16025\n10858 16926\n1971 8766\n3445 3500\n12427 18966\n1561 9344\n5692 14705\n2623 17127\n18140 19559\n4331 10936\n10537 19686\n12661 16763\n1594 16338\n2545 5648\n11188 16084\n13137 13417\n189 7276\n8016 16164\n1552 16278\n8865 17302\n6172 9728\n10652 12820\n15086 16391\n6894 7886\n8346 18775\n4788 8737\n9463 10609\n6027 10759\n3612 9383\n11189 11734\n4280 14718\n3592 6324\n9588 14315\n1582 8493\n12274 16536\n10920 16397\n15428 15852\n13855 15148\n4883 15552\n10703 12363\n3960 11203\n12502 12620\n2305 15835\n8218 14823\n11097 13666\n649 18604\n8461 14858\n3339 13436\n3992 11235\n639 11701\n959 17113\n359 10366\n9228 18472\n5455 16188\n2530 11522\n17383 19916\n4293 7686\n1797 19769\n5625 18259\n3457 19097\n2092 8974\n5300 5322\n7231 12294\n9889 14459\n271 1933\n8366 12395\n1003 8138\n10054 14017\n245 13373\n2456 8249\n2435 10732\n4784 18554\n3818 15410\n5789 17341\n5623 7954\n9241 10452\n10238 18645\n6731 15341\n9187 15387\n6504 9959\n16023 20019\n193 2388\n6782 10625\n7825 18910\n15851 17672\n10156 10968\n15248 15926\n8200 14294\n11859 16670\n3184 3355\n1431 19587\n5456 11864\n10652 12152\n885 5101\n12082 17328\n17331 17742\n4290 12405\n335 2630\n11320 16135\n5546 10069\n9231 16443\n6799 15922\n10193 17816\n12822 19681\n10783 11093\n6733 8572\n14387 17102\n3817 14282\n9816 20188\n15505 19570\n8250 13709\n15455 20175\n4780 6698\n339 18903\n6105 19042\n11130 18954\n284 15960\n13969 17941\n9450 14971\n4457 10179\n11232 11801\n15981 20239\n8804 15827\n14931 14977\n6595 11970\n3120 11980\n2980 6600\n299 13909\n7116 20263\n8821 19302\n6840 10908\n1699 11853\n6124 11394\n1329 3144\n1798 5988\n9678 20129\n810 10769\n6836 13803\n7069 15741\n8119 10193\n11452 16722\n12058 13805\n2072 5526\n1710 7133\n1352 8037\n1043 4410\n15030 18849\n8684 19043\n8779 19490\n1948 13209\n13493 16148\n11058 16994\n4859 5365\n11106 16093\n17663 18247\n5016 20287\n10157 20188\n7533 15435\n16489 17266\n4497 18974\n3766 16447\n8695 20070\n2330 3311\n1766 2800\n3593 5300\n1975 12497\n6514 15701\n16244 18067\n10814 12041\n1860 7377\n10296 10575\n8437 13078\n15070 16223\n6184 17372\n1389 4854\n11254 16481\n16281 17495\n161 11248\n7446 19673\n11277 19496\n2504 7644\n6619 13563\n516 19142\n13551 16849\n3098 3952\n2221 8307\n16049 16601\n747 4918\n13823 14838\n8160 13588\n4891 5273\n13054 17300\n4803 16691\n2595 20017\n11189 16424\n16633 17076\n14438 14931\n12185 15414\n15138 18525\n10885 19092\n4555 9545\n3299 7364\n4984 10687\n4565 19176\n3450 15870\n690 2273\n10033 10291\n12470 18153\n12074 18203\n3510 9458\n3634 16630\n951 12734\n5112 14398\n3031 11638\n1565 13590\n193 14500\n9084 10916\n153 3476\n5659 19842\n7205 15573\n4595 7635\n4977 18053\n2075 18424\n823 1173\n7409 17669\n5458 17872\n19280 20264\n6523 9404\n2106 6890\n9672 16469\n382 3342\n11633 16750\n2278 12027\n6841 14035\n2714 11409\n13059 13642\n16307 17339\n10343 13567\n13683 17784\n5655 17063\n3178 6077\n3350 19151\n4186 13814\n6885 9683\n16349 16710\n2546 17365\n12719 19586\n8011 9270\n4181 11643\n5724 7716\n17668 19175\n1448 18897\n16375 18586\n11367 12560\n11702 15382\n4127 6616\n10623 17154\n13412 15393\n4025 11746\n1131 16826\n4574 6274\n770 7579\n11441 15304\n12072 13249\n3169 3869\n2285 12490\n418 16278\n4241 10937\n5054 10490\n9040 17093\n9339 20143\n440 6595\n8353 14944\n15863 18078\n16112 17242\n12735 13535\n2534 19875\n3718 8143\n4293 5058\n1393 10399\n1027 14723\n10396 18611\n7675 19839\n3993 19477\n3688 13899\n6567 16966\n2060 19758\n1882 2167\n6537 8759\n161 19762\n3362 16693\n10155 13159\n15041 18169\n5 10298\n4976 16824\n741 10470\n3523 9301\n1821 6257\n7555 16879\n15222 16609\n8140 11931\n8283 12316\n5529 8070\n1860 13132\n1814 6979\n2214 5920\n9488 14700\n4122 16040\n1141 13973\n6445 11032\n12401 18888\n201 19009\n3550 14040\n2085 14539\n9144 13246\n2637 5238\n15497 16714\n7594 12423\n9251 12707\n13593 15883\n7064 17929\n9286 11832\n4691 7872\n2298 13123\n7553 14306\n654 15994\n1532 6010\n4380 9356\n11824 17256\n5926 14879\n18463 19481\n808 17242\n3987 13599\n10839 19374\n11693 13224\n12553 15261\n5622 16587\n1974 5219\n11124 17622\n7222 10621\n8587 19727\n4108 17225\n14751 15237\n13527 16651\n6698 11204\n8630 8830\n15600 20141\n9760 11204\n10741 11694\n7939 9485\n6871 15831\n231 8482\n9290 19407\n822 7523\n75 14804\n6627 18689\n1728 8469\n3765 3990\n7335 9042\n6564 8724\n11964 12673\n1143 8726\n3455 3870\n5020 6031\n8609 17024\n11751 14771\n3738 14961\n206 1050\n16280 16840\n14033 17691\n9072 19427\n1273 16201\n7331 11066\n5090 18098\n10822 12293\n8650 16974\n15041 17724\n10370 15463\n3006 13838\n6606 14851\n5569 14849\n4232 11040\n4552 19660\n14738 19898\n2983 13133\n2821 14253\n1891 17351\n9514 12405\n2361 11884\n4584 16897\n4248 16963\n2766 20235\n5150 13016\n10451 18282\n10243 16913\n12451 12977\n5195 7702\n626 18998\n6820 18779\n3475 15728\n12633 19510\n2593 4890\n2004 3702\n964 3847\n5920 18053\n19417 19830\n8595 11813\n3224 16725\n4897 7808\n6222 19741\n4970 16568\n10283 11205\n3661 17199\n4792 12334\n2930 13138\n7296 9497\n5694 10521\n18428 19200\n12564 14674\n16077 18344\n14155 15493\n6473 15311\n4073 10789\n3599 12745\n7439 10896\n13484 17580\n6306 12671\n1434 17067\n3590 16299\n4164 17512\n6202 12480\n2524 14993\n793 14792\n588 10808\n13295 20246\n2611 19647\n12176 19828\n781 19146\n5906 19894\n7356 8045\n3081 16463\n13511 16584\n2936 17249\n8344 16182\n12048 19053\n4120 8640\n1895 2803\n1684 6785\n569 8046\n7312 20021\n3541 19564\n7566 12986\n9765 19421\n8232 17439\n6352 18379\n972 5908\n8708 14385\n7058 14758\n18081 18447\n1823 4951\n9595 14282\n6610 13663\n10021 11953\n16307 18045\n1308 7191\n568 3065\n3994 15041\n7540 9742\n9942 16567\n9979 12156\n9279 15757\n6136 8116\n1343 10159\n12212 20011\n1196 16804\n9408 12754\n4984 7309\n6685 14013\n18084 19302\n11925 11997\n1517 16937\n11081 16540\n16021 16229\n1088 13463\n7306 18981\n6076 13239\n2929 18687\n6183 7510\n8879 18000\n10906 15263\n314 16068\n11577 12833\n7775 14534\n4127 6283\n7070 14245\n11935 12657\n2292 10413\n5003 7032\n11393 12426\n5146 5299\n10068 18834\n4029 14844\n5206 14153\n1595 8424\n3191 9639\n9269 11676\n12002 14917\n4588 18283\n11758 12922\n2836 3958\n2970 8384\n5910 10759\n10419 12727\n10144 14347\n7046 10741\n9071 14847\n99 7352\n13978 15484\n695 19719\n16229 18189\n7649 19849\n11867 15845\n13802 19964\n15893 16526\n1254 7716\n6823 9540\n5970 17254\n5724 8095\n10379 19235\n1122 19905\n1187 3060\n5263 17683\n2006 7912\n1188 3005\n8124 13225\n2728 5723\n1048 14872\n7281 15075\n7243 17567\n13413 16105\n1636 3815\n961 6710\n985 12800\n7154 12349\n10486 13454\n514 4781\n15562 17578\n5316 12019\n343 19329\n695 6140\n391 4877\n2529 9009\n2954 15986\n16103 19616\n342 8193\n10653 15347\n274 3542\n16458 18107\n518 1018\n14294 17836\n3463 8386\n1334 8344\n7949 8905\n17545 19071\n8687 16015\n15411 16897\n4976 5040\n12750 14455\n5712 20028\n7540 14107\n5432 9535\n3550 19762\n11236 20000\n1692 11682\n3207 19293\n933 1057\n1894 8787\n3355 4397\n4437 9068\n2150 2453\n7432 12078\n3794 15475\n8727 17508\n4831 5059\n11072 17072\n12767 14851\n4399 8798\n2323 12790\n7758 15139\n1504 19102\n448 13280\n4487 16972\n1314 3575\n9334 9936\n1163 2497\n2941 11220\n6429 20157\n4605 11191\n6783 11036\n5615 17715\n6621 9376\n8510 9725\n7329 12267\n9064 15899\n4988 20213\n3753 9004\n11526 13370\n3223 16484\n14141 19456\n6078 13053\n1075 18644\n15827 17126\n2344 14063\n387 10701\n8457 8951\n1895 2683\n3028 19354\n1594 15542\n8085 15292\n12108 16152\n4866 12781\n10103 19100\n12828 14184\n2198 3093\n7462 9123\n1250 15951\n7127 14979\n11496 16031\n359 19919\n9602 11099\n15437 17926\n990 6922\n4857 19553\n12143 19522\n12245 15138\n2318 6072\n2092 8500\n16288 19702\n931 14809\n8326 13206\n4661 4841\n5440 13806\n8721 18341\n3953 4699\n1132 16306\n3274 8217\n557 20121\n5032 7921\n1045 10275\n1780 17118\n16 11095\n480 12407\n4765 12504\n10638 20034\n2439 5946\n9698 13328\n1534 15591\n4587 17670\n9708 10621\n1781 4308\n3961 12267\n8721 16325\n6103 18280\n6174 12794\n4188 6178\n1989 19329\n1202 2381\n6264 16136\n8052 18900\n3689 12424\n7315 8557\n14680 20052\n13935 16594\n11063 19896\n3716 16971\n16571 17367\n3149 4340\n7678 9812\n6948 8958\n515 8596\n3351 8933\n1771 10126\n9474 19184\n1 8236\n2482 4216\n14785 19458\n10015 19072\n13509 13877\n15764 18836\n4312 4643\n10031 18106\n13608 15404\n9778 17933\n4173 4833\n6303 14125\n5600 10666\n10472 16050\n12831 15907\n4040 5286\n16340 19918\n5408 7495\n12071 19172\n8270 18012\n10740 17632\n8464 11744\n17898 20148\n7067 9248\n11745 19239\n11949 12271\n8762 15954\n1498 17619\n2034 5912\n6536 10918\n11047 19394\n140 2613\n3074 15327\n11728 18906\n2040 7922\n7865 11149\n3952 16100\n321 3702\n9041 9653\n10715 18480\n8756 11992\n1381 19870\n1881 8533\n15799 18242\n11080 15590\n10272 11073\n4728 12200\n10216 14331\n5809 8259\n12513 19057\n132 366\n3595 5707\n4921 15639\n8301 10663\n8491 16372\n1654 16580\n12400 17838\n564 9911\n15960 17318\n2007 16982\n5254 18024\n4495 8510\n1610 20036\n7870 14156\n4707 4785\n7410 12969\n1160 7943\n10208 20098\n6226 17465\n3153 6150\n12553 17773\n4804 5339\n2142 11748\n474 7287\n3784 12009\n11472 17169\n7141 15272\n1275 8423\n12269 20156\n14167 16926\n5912 16266\n793 11183\n6435 11804\n6272 13867\n13399 18102\n5330 7823\n2658 16859\n1344 10437\n6259 11105\n1554 9536\n12776 15751\n10077 16230\n3187 15309\n9056 15700\n6781 7217\n1117 16404\n659 5320\n12587 18457\n10965 14083\n1604 16215\n1779 3948\n10943 12604\n2233 15297\n971 20145\n4187 8411\n13262 14460\n3692 14175\n300 6507\n7042 8007\n5704 18720\n15191 18016\n1366 13437\n9395 16102\n1897 15463\n5382 18740\n2218 18399\n14427 14884\n10242 18741\n793 18334\n12305 20017\n1438 18890\n4891 9158\n1898 14062\n5094 9084\n16217 17190\n6382 12953\n599 1367\n14366 18912\n13507 16315\n1569 9398\n3260 11843\n8592 19660\n11304 16716\n422 12293\n14717 20176\n4309 13394\n1929 14622\n1255 16753\n2655 6657\n5759 8122\n8809 12644\n3641 4376\n4382 5891\n3161 13391\n12269 15692\n15313 17565\n8687 13632\n987 10152\n2342 14183\n8494 9502\n17501 19784\n3250 17843\n14904 18746\n8229 14782\n3667 15280\n3133 19048\n13872 18540\n10345 10752\n4445 14354\n3912 5944\n3773 4731\n6192 8896\n3329 20110\n7411 7942\n15559 19370\n4147 15649\n10879 15632\n7615 9825\n10965 11444\n1854 10712\n7953 8673\n18547 19541\n14525 16178\n258 12610\n5149 10757\n12227 16380\n1409 14860\n14566 18702\n2035 8303\n1447 17484\n13553 14784\n5761 16523\n1912 12663\n518 13482\n12626 18550\n5241 12036\n5665 5738\n2397 16955\n10673 16376\n9347 11166\n8959 11844\n2102 5310\n13235 16782\n5980 16748\n9807 17769\n5029 14457\n10356 14863\n2599 13007\n6901 12351\n7811 10510\n6487 20087\n12823 18586\n14708 14729\n7284 8161\n9288 10942\n11893 14988\n9242 16838\n13665 19794\n1165 2738\n3006 14587\n9597 12662\n4275 15214\n1716 16208\n3641 11377\n6771 18297\n5040 13602\n1911 12891\n11611 17601\n908 12624\n16226 17120\n4757 17216\n1210 2856\n14134 15946\n1228 15985\n3577 6649\n8684 14552\n5116 6973\n3344 3538\n16077 16165\n11161 12167\n2034 12727\n10306 19241\n8111 19780\n9531 11091\n9936 11011\n3100 6256\n6633 17704\n10014 13186\n1838 16472\n2165 17277\n11310 11369\n10622 17076\n3578 9255\n4812 20126\n6479 10446\n3033 18869\n374 745\n708 18457\n13246 17352\n1392 10095\n6297 19824\n4318 19986\n2226 3946\n443 12480\n3928 14456\n11605 15376\n7544 18873\n12403 16392\n15159 16481\n284 6574\n4387 18790\n765 6895\n2591 8331\n606 7408\n13014 18313\n4964 6832\n320 5008\n2617 5196\n9094 12934\n11713 14787\n10879 18591\n11549 19866\n3579 7591\n5939 8513\n2633 19460\n9839 18173\n2790 12811\n7365 8273\n4093 5945\n8527 9710\n18567 18690\n4194 17441\n4912 6264\n1056 3818\n11758 16239\n8136 16545\n5452 14465\n7684 18459\n7657 8086\n16653 18780\n4286 8073\n787 9471\n5132 7640\n15042 19982\n14416 15289\n891 6668\n7695 15261\n9645 18408\n2773 18668\n7543 10820\n13765 20052\n11035 15247\n9426 20233\n7064 8957\n11159 16462\n8769 14424\n5810 20244\n2349 9077\n686 3972\n1466 15124\n2723 7593\n5294 15382\n8204 17056\n2272 3739\n5110 20204\n15512 18182\n7730 10854\n5811 12081\n7123 15601\n7609 19442\n5179 9842\n755 12407\n13388 17207\n8438 19527\n3328 20005\n11613 16380\n6405 11941\n323 1337\n14967 17429\n2121 9676\n5743 7085\n14125 15095\n6196 13265\n3459 6739\n18877 19334\n9137 20271\n1157 11217\n8090 13631\n1678 17085\n7742 15028\n4468 9799\n6069 19894\n5152 17406\n12302 14246\n16519 17473\n7887 8976\n3681 10767\n3505 7297\n9010 9996\n12692 15362\n2911 20027\n13204 14124\n10294 20180\n8815 12918\n4540 13773\n9615 15407\n4980 14230\n13429 15179\n4566 17093\n1356 6774\n9345 12793\n3537 8930\n3816 18535\n9585 10557\n1421 7147\n13220 19856\n6726 19626\n1222 19307\n3557 11910\n4761 9442\n5997 16007\n1342 14962\n10132 19751\n2305 8209\n5432 11917\n4868 7466\n5368 16026\n614 11765\n5932 19676\n2457 17856\n4820 12139\n14022 16536\n1366 12476\n881 18643\n11449 14906\n3418 5690\n4161 19883\n6452 12792\n5558 12287\n10976 12146\n6447 16490\n13748 15205\n10019 10180\n5590 16467\n17009 18188\n2323 14654\n9330 19628\n11781 18590\n8239 20208\n1659 7836\n6017 8571\n5222 17977\n11857 18793\n12858 17783\n6389 12661\n13874 15863\n10950 13904\n12917 17528\n2929 14243\n5665 18690\n2064 8301\n4315 16607\n11633 12285\n5381 11041\n5912 15265\n4338 11430\n8875 14089\n8704 13149\n7154 10488\n1326 2941\n2902 4495\n17713 18560\n8378 19137\n7477 10018\n2818 12401\n2185 18563\n4979 19470\n16581 17340\n11380 14915\n11389 17805\n7707 17108\n18858 20159\n12974 15220\n7658 7728\n9540 19088\n2376 7965\n4035 12182\n2809 3809\n10099 18531\n3823 17628\n1890 2511\n4708 16501\n2638 12534\n5768 17218\n2070 5329\n5591 7249\n8208 18982\n5193 16719\n5044 13345\n7778 13906\n560 6855\n10277 13533\n1532 10093\n13632 17595\n14704 16405\n14663 14974\n1768 8770\n528 6288\n1314 9100\n13575 15695\n3366 3544\n8213 17556\n5517 19469\n8586 19406\n3785 3817\n950 19227\n102 17797\n1955 11655\n8679 17745\n2384 5445\n9233 14318\n6995 17457\n548 4074\n971 15443\n1423 5126\n6658 17497\n1628 6260\n390 19914\n1604 19320\n15369 19183\n698 20078\n71 15912\n18563 19504\n15606 18663\n11358 17957\n6150 18594\n7450 8625\n2190 6270\n3274 5066\n9843 17595\n2876 19169\n15347 17141\n3933 4940\n18977 19526\n1103 3131\n15527 16326\n9047 19112\n10956 13512\n3594 4496\n6522 13100\n734 15443\n459 1431\n2962 3384\n12396 19102\n2419 12577\n5103 11513\n2888 6676\n7388 19111\n930 10352\n995 18757\n3663 13884\n3698 17482\n12817 15773\n16200 16698\n3912 8261\n11513 19966\n8325 16465\n13829 19476\n7457 19468\n9740 15102\n6858 12417\n11788 12395\n207 11816\n8593 19942\n4215 19825\n6760 7700\n5520 8664\n13144 18802\n3748 4134\n4727 8025\n1669 11899\n6137 8629\n4208 4476\n128 2492\n5048 15923\n17089 19838\n8730 17606\n4483 10506\n360 20277\n6429 19309\n6081 17192\n15433 19634\n3408 20240\n9956 17276\n4063 15973\n3491 17748\n3113 5712\n8704 16159\n9377 11589\n2842 15654\n3250 3381\n7712 18413\n3288 12287\n4298 6313\n889 3360\n17362 19498\n2857 4201\n4867 12281\n3406 19866\n3383 5216\n9794 11975\n6138 18638\n3285 16734\n2463 18177\n8430 16400\n613 11510\n399 10017\n6826 17115\n9253 12349\n1228 4440\n3053 20164\n1200 6999\n516 729\n3992 6059\n8497 19954\n3838 15577\n6419 14975\n3724 19937\n11225 13768\n2497 17047\n2615 4710\n8823 18562\n1989 3656\n6514 14578\n7888 8693\n4015 9529\n4523 8185\n10308 18528\n1061 14081\n11372 15296\n7478 14584\n1053 17276\n9896 13297\n1777 15880\n1328 20055\n6245 7297\n5417 13631\n3000 15926\n7984 18258\n5100 9622\n1926 11848\n3929 5091\n13062 16123\n2257 18818\n2789 10878\n6143 15745\n5388 12677\n11979 18195\n6731 12492\n7933 9582\n5730 15948\n3799 10469\n3384 14239\n1714 4389\n2979 17437\n277 16966\n16864 18503\n16410 18837\n13040 19666\n16286 19393\n96 5399\n2964 16442\n5558 6427\n2416 16190\n14960 18137\n13176 13991\n4261 5784\n180 2715\n15378 18854\n11793 11914\n5790 19678\n6547 10304\n7496 19384\n6256 7370\n14014 16134\n17441 17788\n10564 14212\n13960 14800\n9490 13648\n1873 9982\n11088 19249\n8346 18045\n5064 10706\n5708 16679\n7485 17591\n16160 16963\n10531 11823\n923 4096\n10937 11709\n3491 16911\n12887 17816\n1673 15160\n2435 17739\n8786 14386\n5938 12455\n8706 13051\n5269 17283\n1137 6982\n3136 18364\n1023 8982\n4013 16990\n1845 9326\n10287 10496\n15218 19729\n4101 7968\n13584 14162\n2408 18484\n14662 17445\n3516 15802\n648 4870\n6647 14685\n662 2733\n1932 16851\n661 6311\n191 8307\n7122 17622\n16297 19391\n8440 18219\n15149 20100\n6127 17644\n10885 16917\n17560 18024\n12836 16785\n3022 13754\n13481 16497\n5190 5384\n2677 3149\n8183 9501\n18285 19425\n1446 6025\n2317 10361\n9078 17790\n16594 19753\n1668 19475\n4286 14726\n1393 6259\n8419 9706\n8224 13090\n14470 17403\n2900 17715\n13379 13448\n7983 20279\n7731 8402\n4059 13954\n1825 6693\n4704 19470\n532 14641\n3968 14094\n3834 6958\n2463 6934\n8834 17619\n5428 19267\n2942 18989\n974 17601\n2020 7203\n18395 19187\n7938 14644\n9339 16312\n12699 13905\n3744 18076\n1323 1974\n6331 8140\n11107 11931\n10028 16328\n6346 14264\n19267 19879\n5754 12342\n11056 11683\n2112 10057\n9493 11140\n16858 17545\n6030 7336\n4598 20189\n3532 7094\n9163 11011\n136 9780\n5954 12746\n4656 10209\n586 13902\n2048 12646\n1360 17543\n5667 18545\n5455 5945\n7219 15232\n30 6044\n6593 8824\n10601 18968\n10241 17244\n1530 2121\n2438 12253\n1177 5945\n6865 9400\n795 15777\n9934 11954\n1955 17492\n2632 4945\n12632 16838\n598 16857\n3219 7186\n6613 17038\n2488 18334\n1744 3903\n9057 11694\n8209 19047\n6945 13173\n4 9051\n2900 11293\n3449 19531\n5741 17429\n8606 18949\n8982 13267\n636 13132\n2184 9005\n2065 5123\n10263 13011\n2420 14777\n2899 12763\n8266 17218\n3279 11028\n8706 9089\n2735 7255\n18841 19688\n17641 18686\n5919 12193\n4926 18888\n2731 14295\n527 3571\n5467 11679\n26 9071\n5117 9791\n5828 7572\n1492 8454\n7784 12091\n3927 16372\n5595 16812\n3914 17061\n827 8594\n5960 15582\n511 2848\n98 6027\n11418 19862\n11659 12031\n2667 3903\n6813 18152\n16322 18795\n12797 19866\n12605 12903\n1607 9352\n2253 15294\n8116 10267\n4697 19689\n3395 4496\n3315 16967\n7478 9662\n2664 16483\n5028 10797\n10193 16035\n4557 18970\n10869 13077\n2762 8737\n5823 19226\n8755 18757\n2834 4702\n9907 16414\n5169 13922\n5202 14579\n3896 6845\n16084 17594\n18696 18923\n5004 7990\n5808 17798\n4770 9102\n17429 18024\n1152 15770\n7145 16897\n10313 14584\n7647 13318\n8879 18120\n12808 18739\n19129 19154\n2468 2804\n31 15371\n5805 6861\n2486 10879\n1877 18088\n8723 13752\n2626 19486\n3911 16715\n2777 3495\n8081 9125\n2505 18860\n12446 18470\n8064 17285\n1205 1924\n8066 8446\n6064 6215\n8746 18971\n6793 15446\n233 19606\n8239 13812\n3757 13988\n1681 14686\n12235 18838\n3927 12368\n15601 20229\n14502 14545\n14603 17979\n10043 18215\n519 18284\n6554 16342\n11467 14201\n8692 18574\n2779 5983\n13341 15230\n14037 18605\n4475 11819\n11735 18002\n7969 14083\n3584 9504\n16143 17531\n1880 11591\n6241 12570\n690 15636\n13527 16370\n9678 15539\n15538 16751\n6454 13463\n3824 7302\n1899 3763\n3789 8460\n59 2801\n10698 17746\n1736 14880\n3597 3730\n6972 13548\n15000 17533\n19 13232\n15223 19235\n8995 19169\n2457 7798\n8687 11395\n7442 10296\n7579 18872\n646 4473\n16645 18668\n3803 13444\n4247 11392\n4565 11131\n10752 18745\n2484 20221\n6686 20108\n7413 9410\n10499 12631\n2073 7254\n5997 13459\n7940 18009\n17056 17419\n10560 19539\n14372 17770\n1063 4794\n7831 11367\n103 1131\n10061 15246\n6892 7606\n3345 17272\n6342 9640\n8623 18893\n4124 16777\n1703 12965\n11585 13232\n14054 17479\n3616 6626\n1732 10493\n3203 18694\n2363 20232\n2428 14773\n3136 19434\n10534 19682\n2154 9489\n4436 14331\n14810 15901\n1726 6488\n627 8058\n1540 10021\n4688 6493\n2529 10258\n2429 2493\n2046 11218\n9840 15068\n6411 8971\n13267 14393\n3504 7385\n5269 19037\n6141 17727\n4902 14170\n9556 18173\n16819 20036\n3925 19008\n10499 15466\n3701 9030\n558 2339\n5964 12620\n9855 15753\n1894 12755\n1182 17495\n13749 17590\n14732 17050\n390 10199\n8453 10264\n10763 16842\n2867 14159\n6456 18929\n1233 2776\n2578 10859\n6608 18695\n7522 11805\n10182 12717\n14760 16145\n2957 17907\n8684 15551\n1366 15450\n4623 9398\n6950 15898\n12904 16658\n290 5024\n5301 15735\n737 19566\n9739 11462\n15044 16564\n10555 13705\n9195 13688\n13252 15737\n186 6942\n4371 12640\n13436 18055\n3125 14247\n5409 10458\n16189 18994\n711 9347\n4260 10101\n7683 19291\n1967 14491\n13527 14907\n1608 2924\n7935 14383\n13535 18892\n508 3833\n10592 12565\n12638 16683\n8202 13088\n1178 4930\n478 7432\n1847 6395\n13606 19188\n5085 15282\n8711 13661\n1778 16480\n1470 14582\n5516 17369\n3281 18908\n1685 6990\n5914 6479\n1504 3724\n13208 13399\n2492 14331\n1345 3127\n10594 14850\n6649 11792\n2396 17482\n1794 8229\n464 2656\n6468 9641\n2404 13424\n2655 17293\n18225 20042\n6343 13479\n352 16194\n7590 13555\n2190 12349\n1152 4341\n6654 8032\n7933 20161\n13496 14990\n5430 10858\n11578 16265\n3510 15076\n4087 14074\n4447 8133\n7193 8060\n6141 13993\n9592 16327\n16268 16458\n11044 18962\n162 20187\n9106 18486\n5032 16239\n7824 12205\n15987 16260\n3735 7947\n8328 19529\n7833 12382\n10953 19175\n7375 17978\n11176 18275\n9380 14654\n431 5528\n1247 18642\n1849 6325\n4872 17013\n7993 13161\n16065 16638\n1010 13066\n5585 13114\n2325 3793\n4301 8939\n2318 13650\n2833 3614\n5815 15731\n12648 15745\n9563 14631\n12717 14627\n2445 8614\n237 9731\n17948 18744\n6488 6979\n9853 16085\n12168 15813\n869 8183\n5524 13568\n5030 9948\n7309 19324\n1258 7595\n918 15577\n12097 14385\n9210 18252\n12323 15467\n10607 10819\n14596 19155\n10608 10924\n173 14362\n14376 14737\n17534 19977\n3372 7385\n241 1053\n1238 3813\n7677 10866\n8066 9914\n363 20048\n5605 10307\n13870 16663\n3988 9044\n8323 11380\n6368 9802\n587 9336\n12295 12504\n968 18762\n4202 7085\n12016 17434\n3689 15763\n3045 9077\n3273 4773\n3204 4085\n1558 10681\n1371 4790\n6886 11927\n5215 5585\n5041 10595\n7323 7632\n111 18507\n972 6835\n3814 5183\n6771 12059\n8652 10883\n7509 8886\n14263 14378\n10507 19459\n10191 11624\n6285 20010\n6643 9338\n7300 11105\n12800 13058\n10524 11994\n1737 19535\n10380 16352\n1206 16507\n5559 15893\n1170 15227\n16773 19170\n7200 8577\n2565 9963\n15231 17301\n9534 15158\n5124 18007\n11353 17088\n10168 11924\n6360 17115\n4961 13514\n13252 16468\n6498 6835\n8477 10717\n14614 17203\n3191 18387\n14062 19432\n1023 6621\n7481 18862\n9961 17631\n1196 13435\n9372 12447\n5804 15480\n8565 11440\n9567 16241\n3534 14540\n19073 19689\n576 5997\n11740 16233\n6888 19654\n3397 4581\n12992 19215\n12041 19843\n7317 12425\n8050 17530\n10802 11951\n8473 18617\n7056 18453\n2512 4098\n17215 18989\n4338 4454\n4910 9403\n14971 17976\n7407 12504\n8496 12196\n6046 7990\n11559 18554\n1711 9224\n12308 15417\n3214 7180\n13604 16932\n2832 17474\n2044 4096\n17621 17767\n8407 20085\n6869 18649\n10097 17838\n12011 19795\n454 8571\n14913 17513\n11524 20035\n3434 8826\n13810 15778\n1910 18622\n2212 12301\n10319 17337\n10411 17736\n3093 19548\n7134 8112\n16409 17031\n13636 19126\n18418 20001\n11543 14828\n15013 16654\n12473 18537\n2246 2480\n13933 15760\n3405 12049\n5208 5655\n7632 18569\n4520 7516\n4873 19263\n287 8984\n2728 13573\n887 11895\n1743 15440\n9790 16473\n6663 16146\n7038 11085\n7748 13401\n772 3666\n3084 6784\n4855 15919\n6964 12336\n885 7925\n1476 9191\n13590 18304\n9924 15654\n18421 19244\n1377 10615\n6314 10010\n5179 8342\n10788 19442\n4522 15467\n1253 13561\n5265 12649\n8316 12765\n3149 15726\n3116 18527\n8798 19226\n16178 18870\n18232 20142\n4385 14731\n428 18200\n5869 10340\n6080 9953\n9313 10576\n134 18817\n19533 19999\n1864 11410\n9738 10066\n5648 19677\n4904 7393\n9408 16507\n3065 9546\n16798 17985\n3134 4904\n2053 17906\n493 3260\n8559 14859\n9369 18617\n11143 12407\n3702 12523\n1264 17555\n8618 16822\n11407 14016\n11112 15295\n621 2019\n2631 14010\n13186 15352\n4830 18853\n4056 6427\n4910 8083\n7417 14477\n3111 3304\n14928 16703\n4356 8607\n8863 12828\n2400 15303\n12239 15871\n10391 19297\n9254 11928\n1950 6904\n12977 14178\n9510 12334\n4520 19840\n5000 15737\n281 19191\n333 3238\n4439 4682\n15458 16497\n7505 9699\n5723 20016\n4239 8351\n2219 6416\n487 18746\n14950 18469\n15655 17388\n5831 15797\n649 12400\n13147 17239\n3608 14065\n8291 10551\n3444 9171\n5292 8077\n9183 11463\n194 14998\n8460 15716\n13977 19897\n3310 8751\n8333 11831\n5163 9721\n10254 18782\n11634 17598\n4977 15372\n12087 12684\n11110 14292\n8852 13982\n13871 14649\n3410 7442\n13725 16473\n8471 17566\n16194 18855\n1359 17095\n18406 19065\n4078 11731\n3282 18520\n940 16027\n3771 13129\n9403 17911\n9540 12473\n1847 20054\n57 10170\n3931 11929\n10890 19560\n8243 20225\n11194 15765\n8085 13001\n5258 15574\n9932 13113\n8931 10593\n5608 15284\n7676 14013\n8086 8836\n4470 16760\n17247 18797\n16391 18440\n6353 17211\n4743 7582\n7614 19543\n2737 9455\n1350 19369\n5816 14117\n3955 12972\n11911 13625\n17332 17828\n4543 16720\n374 447\n4526 9219\n4505 8208\n5051 9549\n1076 5387\n14583 16833\n1101 9849\n3345 5235\n5066 16201\n977 7275\n7225 11586\n11900 14317\n1745 16264\n12682 12829\n16499 18395\n6230 8679\n6563 10686\n9670 17095\n15668 20232\n4274 17051\n10698 15609\n9261 9311\n2384 4393\n8065 19568\n7170 9068\n653 7545\n11755 14999\n18131 18528\n10080 13766\n11273 18393\n1911 16346\n1905 8528\n5356 16813\n10853 19751\n3703 19743\n4281 6556\n2911 11389\n2098 4073\n13279 19779\n4633 18649\n7117 8218\n1151 2870\n11434 16842\n3820 8123\n9592 13428\n660 15606\n15985 16430\n2001 16501\n665 10137\n11965 19391\n566 15300\n3284 13938\n5410 16710\n16042 16179\n3071 4375\n6925 9058\n8713 17205\n1564 5569\n12882 14743\n7719 10326\n7986 15590\n12021 13519\n2619 15907\n3072 11084\n7894 12857\n6503 15765\n381 17443\n6330 8113\n2182 2501\n1433 12097\n2222 3960\n5548 9276\n3668 12944\n1551 7845\n4021 20249\n1177 14397\n2314 17109\n15799 16553\n5482 11206\n5210 7692\n2348 3684\n12107 16127\n10614 17779\n5206 13795\n10740 15643\n7784 18864\n18432 19855\n11993 19590\n10747 17052\n1532 4148\n17625 17915\n5829 16751\n8104 8996\n233 15018\n11240 12552\n1043 4296\n454 10786\n5239 8481\n3736 20068\n11758 17838\n1554 17413\n2003 16439\n6009 16849\n9023 10265\n9755 13633\n3679 9355\n10580 15890\n6308 19106\n15652 17036\n5175 13900\n8368 19572\n1332 9210\n886 2724\n1879 18146\n15861 16750\n12242 20258\n5714 19435\n9531 15832\n13876 17054\n2159 13716\n3109 9569\n11689 16993\n5935 14465\n17395 19813\n8696 17001\n3575 15554\n408 12716\n5377 19259\n2869 16992\n774 2144\n9938 11767\n3401 9305\n2293 3311\n12772 19522\n1786 18138\n4034 7559\n554 1282\n5725 18606\n6461 12907\n1577 5605\n390 12150\n12302 15988\n11234 18748\n2982 16368\n12245 16994\n14079 14785\n13106 17196\n2660 2672\n2321 7956\n11469 18651\n12657 15245\n5881 7506\n1564 6955\n13170 14153\n5917 9939\n13033 14701\n14547 19696\n10662 18215\n1449 19484\n11575 19483\n11052 17645\n3650 20031\n6736 13429\n14503 16244\n4535 9797\n7792 8581\n3176 16931\n13156 15060\n738 12630\n6233 13532\n632 7081\n1068 15068\n15005 17463\n13776 16961\n5006 19040\n1165 11024\n4929 8788\n5214 8062\n16746 18914\n521 7085\n2810 2986\n3888 4625\n14877 19376\n7468 17551\n16589 17101\n6279 12622\n7419 7910\n10028 11370\n842 6958\n15671 18601\n2752 8076\n10182 12671\n1261 18147\n17982 19824\n4479 8313\n6580 15294\n1207 2022\n8871 13657\n16490 16944\n2487 19629\n7160 11442\n3423 16944\n5163 12892\n7433 14056\n9018 11124\n14247 17949\n3690 10239\n1208 7335\n5328 18542\n8282 11806\n13365 15550\n2560 9957\n5287 9024\n11736 13811\n13457 15047\n2007 6826\n1252 1807\n34 247\n1932 2927\n680 10061\n15721 18275\n5859 9496\n15178 17909\n2788 11491\n9917 11052\n4912 10962\n247 7823\n726 6197\n3929 12767\n1735 6570\n565 6820\n10018 14881\n3779 19407\n7250 7304\n1699 5429\n541 9143\n8907 19587\n5091 13234\n3927 19152\n2294 5452\n4379 19740\n7073 14944\n8678 19935\n11794 14810\n2823 6185\n769 6924\n4755 19712\n9310 14186\n4538 9428\n1339 8356\n117 9327\n4145 12328\n5198 10525\n16934 20177\n2715 14842\n10236 11592\n1924 10901\n2966 9815\n7138 14553\n5638 16226\n2806 9411\n16806 17643\n3806 13583\n17485 17638\n13585 19427\n15615 18410\n7505 20224\n580 3350\n6233 12334\n10300 13642\n14103 18826\n311 9621\n1448 16199\n4366 19812\n11965 19554\n6715 15175\n11062 11320\n1346 16014\n1770 13354\n7847 16421\n3729 6986\n9349 19091\n13796 17660\n4577 18234\n1164 7491\n8371 12372\n11861 14534\n1748 2884\n4081 12797\n6034 6057\n16591 18767\n19097 20044\n9533 16630\n7467 8972\n12925 14642\n11007 12010\n8901 15481\n19211 19716\n1856 13816\n10119 14224\n14049 18311\n15862 19818\n8055 20289\n17203 17288\n10600 17368\n6580 11036\n2716 13718\n2427 11941\n228 5021\n7663 14417\n3534 12602\n11279 12291\n12470 18116\n4310 12551\n16432 17959\n17702 18928\n12661 14465\n15182 17690\n1433 9588\n6440 12045\n160 14762\n4858 12174\n5086 6895\n12639 19978\n11350 19559\n8097 10645\n4586 10737\n15889 19039\n775 6614\n1076 18141\n7932 15403\n682 4826\n8760 16449\n4442 6961\n4406 9297\n1169 11719\n64 16855\n1395 3416\n14170 18391\n1632 17728\n4796 7659\n11090 15492\n2419 15829\n7732 15625\n5418 10326\n2459 19082\n8413 17858\n328 4493\n913 19242\n581 13833\n4196 9760\n1736 4745\n7329 16469\n10873 18722\n16072 17451\n808 10858\n12928 20278\n11009 15086\n4494 15981\n920 11255\n5755 20132\n10708 13502\n2587 8662\n5222 12219\n13895 14729\n10472 15394\n12032 19131\n5164 7927\n7802 13859\n7360 17576\n3731 8072\n1829 2509\n1927 15299\n14380 18532\n3217 14836\n3197 18296\n6953 13330\n7421 12272\n3603 13718\n18008 19716\n15166 19894\n3368 5825\n9081 19776\n2802 4149\n1179 15544\n17564 18310\n3421 7223\n6270 14729\n507 4414\n3098 3124\n15294 18534\n1591 14635\n7427 11229\n11925 17145\n2885 18700\n7500 15517\n9337 13476\n188 13210\n11350 11522\n13339 18002\n6746 10017\n2957 4466\n12148 13440\n3063 19267\n1755 6727\n10136 10486\n1369 13698\n13078 17803\n8029 17342\n9396 10012\n5828 12772\n4966 13547\n688 17029\n7799 16293\n3178 19667\n10255 12269\n7648 19213\n18161 19835\n14874 19910\n14024 17678\n1161 3507\n3995 17635\n7707 13698\n14135 19212\n10408 14690\n9598 20112\n13804 16965\n14348 18584\n1258 14248\n2397 19997\n2624 17595\n1985 9148\n5047 12604\n9984 15265\n12638 16367\n5403 12552\n8216 15065\n6892 13319\n4865 14481\n5838 11617\n11814 19596\n16758 18522\n9566 13047\n2318 8780\n1639 14725\n13545 20220\n16465 19426\n9104 15123\n16295 16359\n2541 5857\n1614 12724\n10766 14284\n4003 17509\n4699 13023\n5567 10894\n2895 4358\n15760 18101\n5121 9960\n5986 16599\n3460 13525\n4454 6193\n9973 16739\n153 2924\n31 11146\n2800 6403\n5734 14144\n12067 18058\n5428 9217\n9857 11319\n3322 18198\n1792 12024\n307 12351\n2785 6033\n2995 14163\n12479 20207\n4434 16087\n676 4904\n13818 17453\n1563 10825\n9662 19397\n15259 17753\n7822 18580\n4124 10371\n1824 3920\n12636 15153\n8623 17212\n5601 9110\n14113 16180\n18519 19793\n1898 9568\n8944 19705\n4542 11494\n15411 19998\n14018 16028\n8599 15805\n6734 14689\n2759 13869\n16625 18209\n6779 12740\n5579 16276\n7685 9479\n48 8509\n1666 10245\n11984 16077\n4886 19478\n4894 6180\n6914 11609\n5017 10910\n8031 20095\n7933 11046\n9387 15999\n1560 3062\n10635 18456\n6536 9708\n7007 7533\n13882 17942\n12463 18762\n6644 10419\n4043 9780\n879 13337\n343 18040\n7925 16974\n7010 10715\n591 14734\n6528 17428\n2237 11110\n3584 9924\n9217 19631\n1125 5563\n9457 15199\n2963 20231\n15241 15647\n5374 15706\n14070 16437\n811 4831\n3576 9265\n2645 19742\n6338 14315\n5043 17107\n8177 12869\n2413 19296\n14202 17196\n13886 17661\n10015 12223\n1619 16685\n10957 14213\n6217 15960\n4032 10217\n5274 16889\n3497 18045\n689 7328\n2614 5411\n3598 12989\n48 4541\n8012 9485\n5157 11101\n3289 19140\n6610 13119\n1024 8065\n3230 5677\n4949 10605\n3817 13349\n16172 19626\n10659 15759\n6176 10991\n5777 9859\n14309 19160\n11815 12424\n7726 14338\n8065 17736\n3962 5861\n8709 19856\n800 3793\n4516 15373\n2272 12414\n28 8675\n585 8459\n6184 7757\n5009 6062\n2335 15252\n4006 18282\n15504 18691\n3573 9368\n6849 16935\n4552 8804\n2997 11895\n15007 18785\n268 11698\n2574 15715\n266 9818\n4344 7582\n230 317\n5101 15490\n43 19533\n900 3842\n819 14409\n8424 9462\n5916 9351\n2204 4784\n13884 16602\n3374 18395\n2460 7268\n813 5060\n8215 16351\n3621 10582\n801 7894\n2394 12359\n14265 15325\n5954 17263\n3615 12394\n4555 17756\n264 1014\n1298 13803\n16135 17695\n10575 13473\n996 3168\n5458 8958\n10094 17873\n9468 16302\n10863 15137\n11695 14478\n16725 17783\n15575 16124\n7207 11907\n598 15679\n10750 15787\n54 3501\n13817 18024\n13512 14014\n15083 18588\n9446 10733\n18643 19052\n6935 13044\n6751 14879\n1999 3943\n7342 18644\n7611 18984\n9488 11151\n10527 17903\n18130 19232\n1412 12557\n846 17013\n1322 9857\n9800 16470\n9625 11339\n3048 17028\n6540 7060\n2097 3355\n16234 19911\n13934 15229\n2495 16723\n4522 16704\n4596 6241\n9619 20175\n4821 6569\n3599 12755\n10782 12857\n5550 7773\n1380 1413\n108 10921\n4943 15571\n7486 11482\n2231 4730\n4445 20164\n1362 17956\n4140 5308\n1969 16861\n8181 13417\n4530 8069\n142 17643\n3550 5470\n9249 16696\n8900 18385\n3441 17072\n1883 4994\n1535 9490\n5971 10314\n7643 16178\n10223 17060\n878 2661\n697 5320\n13649 19234\n8113 19292\n4713 19359\n2396 10911\n3972 7888\n10551 19148\n7908 15929\n3942 4775\n1315 3690\n2589 5778\n2722 13313\n12551 18475\n13554 18885\n5751 11929\n8900 17430\n10850 16925\n9115 17466\n4037 12224\n3076 17010\n13291 19107\n13639 14640\n3874 6410\n6043 10712\n8885 17571\n16405 18859\n5698 6672\n134 16002\n8596 8716\n15553 16188\n8826 17507\n9597 20225\n4852 18626\n16822 18901\n3977 18830\n10217 19171\n8904 17793\n1798 7196\n8293 12334\n2998 18313\n7956 10510\n2785 11782\n8673 18299\n4891 15744\n277 13224\n9529 18698\n2758 4028\n2788 7836\n4147 4905\n14339 16546\n9639 17066\n11885 18579\n16788 19301\n14029 17583\n2397 12996\n6839 18819\n3575 11042\n9856 16339\n10733 15676\n5223 10201\n1250 6364\n7907 8931\n3542 16511\n4633 8203\n12622 15208\n2409 11034\n9615 17380\n5342 19683\n15537 20136\n5907 6421\n5357 7631\n4970 6777\n10825 13745\n3694 3833\n8751 10466\n8108 10659\n11948 12067\n3505 17902\n7187 12910\n469 1060\n9617 12101\n19599 20251\n8830 19911\n1013 12447\n3853 11825\n6925 19537\n11116 14596\n734 6021\n2959 8412\n6332 16751\n1187 11662\n876 13310\n11938 15871\n5129 20249\n15645 17607\n6791 11685\n440 15139\n377 10566\n2223 8962\n2615 13819\n7377 11186\n10882 13257\n6779 15205\n7709 11307\n524 11272\n7976 20067\n9331 17623\n6222 14415\n79 16126\n3128 18435\n7209 18203\n2335 13248\n7416 16229\n1013 9906\n10248 17651\n7686 10759\n724 19050\n3271 15425\n7259 7474\n13191 18788\n15367 15767\n3711 11685\n13518 14101\n6262 15102\n10696 19379\n11918 13687\n15104 16604\n2800 9125\n12344 16469\n2131 7701\n3623 7450\n131 7367\n14463 19408\n8340 9785\n1763 6399\n388 7432\n6939 13126\n6537 7737\n5326 12473\n7672 11129\n8762 15300\n3822 11442\n7411 8966\n7385 11178\n4336 17931\n15965 17529\n6407 20277\n16771 18698\n3927 15656\n15245 18848\n8548 16195\n7087 17822\n5414 7987\n696 4223\n10484 20006\n1942 12330\n1682 9869\n9786 10474\n10074 19842\n5562 20245\n10502 11060\n368 12356\n3374 19795\n5490 12172\n1393 13923\n7210 10884\n8599 18074\n3842 15564\n3955 4102\n8997 15008\n6473 17936\n8263 17873\n7138 19992\n13179 13350\n14669 15983\n1274 4525\n2522 17008\n16288 18577\n15215 16526\n12012 14051\n17432 18856\n14740 18263\n8259 13767\n9152 15167\n1304 2256\n2298 3598\n4278 10918\n3934 8247\n13832 14702\n7180 16612\n7277 18622\n4901 9811\n1550 9005\n11111 19939\n1523 13160\n4064 14598\n6777 17488\n8209 11727\n1728 5789\n3300 9865\n7485 8067\n11637 12326\n1156 14678\n15654 16113\n8318 10518\n10278 12066\n3755 10628\n9905 16256\n11068 16566\n7800 8145\n9515 12066\n12582 15300\n6693 10002\n8609 9571\n7391 15510\n2460 18933\n5832 9071\n6087 19093\n8857 9692\n3410 17906\n1655 16816\n9730 17857\n8283 18985\n8405 12978\n8143 16028\n4829 11082\n5706 18607\n5232 14875\n11679 16279\n3882 5760\n911 5482\n6384 9528\n3051 10640\n3683 12547\n1248 17601\n5130 9735\n789 19504\n8033 9556\n2463 8457\n6903 14911\n9501 10745\n8047 18141\n1764 11018\n8110 12230\n3172 10681\n9222 14097\n1064 20274\n14561 18155\n10545 13917\n1165 8155\n5194 18982\n4144 14612\n858 17096\n6481 8605\n2451 12164\n3773 13234\n17492 18502\n272 15764\n2011 9515\n7925 9605\n6527 16837\n1510 7529\n6344 8071\n2412 16024\n8172 9184\n2264 14843\n153 9898\n9746 19564\n6237 9795\n5416 19452\n2429 7330\n12735 14588\n2230 10266\n5043 8367\n5832 15331\n2793 13901\n13621 14909\n12346 16391\n265 14448\n9486 11055\n14495 18991\n3817 17999\n6206 10575\n6384 11112\n13054 14275\n1214 3632\n11279 14945\n5826 16298\n448 6455\n14153 15235\n1236 8438\n17502 19609\n9088 14226\n9757 19187\n4300 19435\n3825 13576\n13258 17670\n4040 20139\n3589 8564\n4635 5312\n164 5732\n1673 10228\n10993 16994\n5438 19492\n11256 19897\n9112 14228\n115 8346\n608 20232\n860 19909\n2967 9581\n9109 17833\n5572 15552\n14466 15147\n7320 9553\n2144 19176\n9657 14857\n6027 15519\n8178 8771\n7808 15734\n12701 16657\n9350 17482\n9575 15915\n12723 14265\n2962 19981\n1135 10096\n1299 10713\n12260 17863\n5456 7288\n3140 5488\n183 15900\n1832 5820\n4221 17648\n3335 3999\n1957 19222\n2295 17710\n3603 17786\n4715 10603\n4412 11892\n7312 19982\n1662 6642\n9907 15241\n3666 17966\n3439 6285\n1304 8136\n7711 18308\n4336 5836\n4872 11912\n1985 8547\n1187 17443\n4769 18892\n6060 16645\n16396 19920\n5404 17798\n2030 19003\n3591 11921\n741 14564\n13168 17148\n7487 20157\n15479 18015\n9482 15654\n17713 19925\n800 19468\n5451 10679\n10236 10329\n4235 6239\n4173 6360\n4489 7390\n4493 5671\n1342 5544\n16468 18589\n5730 10797\n3918 6564\n4685 14775\n18956 20058\n3323 12701\n12974 13301\n3376 9189\n6543 15309\n14547 16775\n3521 13720\n2248 15142\n9700 18952\n8684 13569\n421 9729\n6825 13519\n3406 8713\n3775 5194\n2016 4879\n5164 13889\n5341 20234\n12020 13521\n6573 18703\n7727 16217\n11521 17168\n2065 9428\n18312 18464\n4236 12730\n3057 16090\n4702 18537\n2669 17886\n8596 12356\n2693 11736\n3493 13432\n15865 20064\n4098 16253\n14374 17911\n3201 5181\n10193 14650\n10355 11808\n5743 7393\n14809 16875\n6391 13970\n4921 7406\n17532 20220\n11731 19867\n4013 6431\n12383 20171\n2908 20284\n12604 17179\n10134 20202\n5825 20263\n3938 12081\n15392 16313\n119 11107\n8573 16412\n16093 16489\n772 20015\n5703 16556\n5961 15507\n6281 6541\n10179 13375\n6657 9024\n8619 9760\n12234 15973\n5413 12423\n4219 10250\n6190 9882\n1241 17982\n402 5604\n4364 8508\n4697 9497\n10259 17940\n595 6568\n4255 5135\n7938 13670\n4403 6737\n2066 6610\n8221 14556\n5807 19383\n7785 19517\n12043 18223\n3765 19141\n6286 14007\n6785 13706\n9502 9827\n2152 18972\n2611 6603\n6957 7784\n9428 11854\n4083 12711\n8491 20185\n7866 13742\n13044 17562\n2860 12278\n6720 8170\n1101 13852\n3268 5158\n13418 15775\n903 17674\n9655 20070\n9880 15858\n4507 16752\n12594 17639\n2730 7822\n4451 15866\n6809 15134\n5605 10632\n18014 19427\n9714 16883\n4816 7182\n7773 9740\n5414 18567\n9103 18004\n7484 19616\n16719 20053\n436 4923\n18758 19335\n6274 14164\n11841 18107\n7667 10666\n7069 8762\n12681 16940\n8140 9074\n6333 16874\n3756 16733\n3661 9772\n13078 14280\n1780 19104\n6438 19999\n8232 12650\n2071 19478\n5723 13797\n9483 18685\n10132 13323\n6605 13506\n1962 8841\n16317 19634\n1133 7904\n45 8886\n3897 18443\n2491 3163\n4111 15971\n12279 15711\n4076 9815\n3976 14099\n2209 17456\n5419 13633\n3112 4063\n11753 17310\n9017 10247\n4369 19420\n4523 8874\n3742 7571\n18140 20190\n6049 19872\n10461 16741\n5685 14184\n17290 18876\n2956 15473\n5878 10185\n2075 11223\n6382 20131\n9664 14906\n1095 6409\n11459 16967\n2246 8773\n134 2885\n404 6854\n4025 7556\n7143 8733\n6891 14805\n13651 19022\n3224 13845\n12773 15631\n3515 19920\n3530 17286\n8424 13302\n6238 18072\n1772 12530\n9108 13745\n8241 18269\n5022 10561\n7010 12212\n5560 18146\n13722 14830\n13742 18726\n6131 18828\n3723 10711\n1958 16501\n2712 14984\n5540 15686\n985 3696\n93 16649\n2096 9928\n8094 15892\n4614 17154\n2707 15728\n14662 19751\n12193 18522\n1136 5123\n9000 16481\n11202 17789\n3200 15055\n10346 11221\n7281 10857\n11325 13059\n8128 8378\n4544 13136\n343 7035\n8478 13936\n9738 16839\n4311 19632\n1868 10560\n2700 8042\n14874 16559\n11647 12085\n384 3565\n3726 8335\n5917 17355\n10226 18256\n4899 13130\n9255 20258\n631 1311\n134 14335\n14353 18404\n636 18868\n17298 19334\n5211 14550\n5964 11484\n2344 4699\n5428 10720\n1811 6564\n9462 15132\n9896 15766\n17101 17475\n9789 17018\n4999 10269\n9739 10430\n1153 3976\n9424 15635\n3668 15186\n6224 8275\n7090 9757\n6079 6436\n13450 19390\n8244 16823\n4091 14441\n5325 17700\n1672 16574\n1682 8377\n7183 15996\n15521 19408\n9699 18134\n9661 9833\n4277 7907\n8940 19706\n16332 17136\n5988 8185\n3679 10055\n16118 19986\n6225 17978\n15541 19739\n12694 14141\n3731 9025\n8658 12376\n4035 15439\n9033 10283\n10849 17798\n13059 18776\n11527 16449\n10583 16274\n2580 14898\n4316 13436\n6529 6893\n14235 20016\n9621 19983\n8780 18400\n1216 17123\n6237 16283\n1942 12916\n6746 8295\n10030 12023\n10580 11872\n5494 13859\n11792 14966\n891 19272\n4964 8446\n938 16968\n9919 15179\n7426 10983\n1895 14632\n199 16644\n9828 11078\n1113 7251\n13022 13877\n2826 15680\n14854 16042\n2068 6845\n1799 9957\n11896 19801\n3931 19774\n9824 17968\n5473 15544\n3430 6512\n802 11707\n13289 19398\n7843 8196\n5619 10784\n518 19415\n13716 16981\n9377 13792\n8593 13990\n11660 14428\n1844 4842\n12673 19915\n12711 17689\n3619 18489\n13737 15796\n5553 19518\n13881 18700\n6905 14974\n12423 17012\n8839 18948\n7097 11330\n13692 16328\n15097 17830\n236 4897\n8339 15657\n866 1213\n5784 11542\n13421 18188\n5798 8642\n4667 12350\n1072 9736\n1621 17237\n2425 17539\n6640 10470\n942 6297\n16336 16888\n583 7613\n12650 13777\n3729 12360\n2836 15518\n2165 8103\n2770 10066\n1471 19076\n5576 10810\n1856 6182\n1728 19363\n810 14180\n5415 14049\n6347 15115\n2604 12567\n5965 6211\n8352 13614\n721 20014\n14522 19439\n2223 13586\n8450 20129\n15278 17025\n4080 5109\n964 4291\n3295 9185\n5944 12718\n11910 17000\n1582 17579\n5425 19162\n7578 13858\n2376 16126\n8476 18475\n6872 16437\n3597 10051\n13386 14466\n1004 10876\n13760 19801\n8937 11329\n6454 16349\n5825 6860\n5588 10463\n15216 17647\n1376 19579\n7431 13648\n11945 12781\n12222 14566\n257 16503\n18225 19699\n15929 16200\n16253 16703\n11911 14846\n2585 10802\n11853 13617\n6755 9099\n1950 13133\n5369 17712\n3779 9945\n480 15185\n10484 16151\n337 18615\n11781 15546\n8051 16139\n11144 16436\n3995 11383\n5145 12811\n18368 19811\n14426 18765\n847 5842\n14393 17576\n18422 19916\n6144 16167\n11280 15469\n7290 8237\n2383 11776\n5531 15245\n11837 13342\n7179 15897\n9883 14930\n8403 18757\n8656 12390\n12118 15237\n3567 9303\n9411 14629\n4629 14972\n387 4847\n7643 10798\n15149 18842\n11232 16093\n14521 19859\n734 6155\n18825 20216\n9362 13721\n3584 16052\n69 2169\n5632 17165\n2301 4476\n4988 5567\n10575 15681\n2116 5020\n4561 5103\n1387 8662\n3675 8394\n8696 17306\n13277 17153\n3247 6804\n7532 17877\n7446 8202\n3712 5585\n10808 14003\n6917 18155\n4785 10776\n4327 18466\n5537 5690\n810 19538\n1502 4338\n7245 16093\n5009 11412\n5516 7965\n4777 18722\n7484 19432\n9763 15447\n3146 6671\n13658 17936\n2612 19747\n6531 19312\n12860 14841\n3416 19169\n345 1370\n4984 17427\n2329 8611\n5066 8074\n2433 5151\n8305 10153\n7838 19973\n4683 10070\n7006 7537\n718 2332\n5762 9123\n15601 19428\n12965 15801\n3537 16472\n10262 19167\n6733 19575\n15980 18641\n6285 9798\n16652 17556\n9240 18333\n4271 16291\n1443 15256\n8697 17009\n6906 16330\n5402 5731\n2281 7340\n6497 9376\n7645 9679\n311 4709\n4659 9585\n2388 20233\n10267 19759\n907 7587\n11073 14647\n14123 19642\n4300 7502\n10298 12908\n4985 6165\n601 14865\n1931 13325\n6444 11787\n3752 15662\n11650 14201\n8884 15616\n6234 10321\n15008 18064\n2467 13368\n4470 5005\n12291 18583\n10346 11207\n10587 16888\n13768 19905\n15191 15479\n3474 6331\n15689 16877\n2946 3176\n6312 14979\n3459 11540\n3126 10536\n9321 11765\n2846 18772\n4587 5454\n3319 9178\n6091 7338\n6994 11597\n1908 19041\n5605 11111\n10778 15356\n984 6048\n3397 11648\n9404 19435\n5135 18763\n11668 19621\n4469 10428\n3764 7460\n8923 17936\n3733 13111\n17525 18366\n1751 18967\n2760 10154\n1707 19741\n2553 20043\n11430 16911\n14248 16546\n5410 6633\n5605 18705\n833 1933\n3353 11526\n5835 11879\n1338 4937\n13590 13770\n599 2838\n8971 13656\n12566 14960\n12703 16527\n8935 18674\n13216 16363\n6364 18249\n1580 19854\n3223 8025\n2763 19153\n11208 19824\n17772 19976\n4401 8988\n2266 2541\n6321 9856\n4925 6548\n3105 5789\n4858 15342\n6982 7103\n1759 5344\n6420 19203\n4730 13786\n1945 5119\n6519 13687\n5832 9596\n11150 15697\n5540 8181\n1055 15939\n5670 8302\n4285 19982\n2192 17615\n9824 12856\n10004 17905\n987 14345\n2388 3894\n5644 10896\n5060 12996\n19600 20082\n13725 18060\n6334 16830\n7860 17279\n8293 12454\n5354 8647\n15754 19189\n2633 7831\n9709 17736\n6248 9000\n9197 14049\n18252 19691\n6579 20017\n3022 8353\n2150 8174\n8403 9122\n203 18393\n1432 19907\n7017 15478\n5101 10663\n6802 11674\n4055 6757\n11625 11784\n1766 15741\n14481 19198\n627 14845\n17398 17837\n9713 20179\n9594 15310\n1161 2001\n1267 7402\n736 18180\n11681 17114\n63 7975\n3619 6931\n7906 11880\n8988 14225\n13948 18016\n12956 16797\n2226 18723\n15656 19602\n11391 13911\n2004 2854\n3079 5366\n10280 12733\n509 7861\n2094 4722\n8831 10010\n8395 11677\n14071 17991\n12471 18750\n3903 14762\n14410 19080\n4690 4829\n13974 16694\n5156 16046\n5524 18504\n4958 16858\n14584 15756\n883 15964\n9917 11696\n5307 12121\n7831 18584\n1561 13612\n17714 19919\n5357 12377\n12904 14099\n9141 17602\n4472 14017\n3550 4089\n12256 18814\n5126 12045\n5892 14172\n3188 16324\n11871 17596\n5214 18077\n15476 17196\n8829 11839\n2072 15164\n6412 7771\n5806 7278\n3841 14002\n4954 6876\n971 17613\n4485 14196\n2882 12535\n11246 18449\n13745 13858\n8732 10945\n2304 15241\n6901 13727\n13575 16793\n927 5271\n5849 18429\n1606 2610\n7613 16161\n16131 19292\n5924 13639\n13896 14786\n5534 18113\n8346 9860\n9513 14136\n3088 19657\n3695 6555\n4571 8852\n4610 12651\n4180 18057\n1766 14604\n19118 19866\n4002 15546\n3109 11008\n10941 18832\n8869 10005\n4403 4553\n11265 15010\n7504 19340\n3659 7755\n4084 11077\n5654 16071\n1227 15212\n17380 19845\n13471 18038\n3099 19769\n1088 1461\n11854 15686\n8782 13507\n12468 15473\n14614 18557\n15550 20062\n320 9396\n3562 17326\n15590 15968\n1335 18607\n4676 12389\n1841 4082\n2194 14301\n223 11676\n1165 15176\n104 846\n1809 2377\n3663 9191\n13496 17035\n17188 17527\n2510 9650\n1704 6780\n8869 11380\n2719 5849\n4659 14396\n6054 18144\n4632 10051\n7115 10661\n13072 14756\n9262 16815\n753 15839\n11673 16236\n9336 13892\n2720 7810\n9537 16689\n2399 13167\n9572 13623\n5115 8285\n3842 7310\n7325 17759\n6009 8510\n1168 18673\n3689 9069\n16533 19190\n508 19251\n259 14894\n1088 7031\n4055 17400\n15979 19539\n8698 11493\n4527 10624\n5520 8234\n7955 11019\n10602 19210\n7142 10422\n5124 13408\n1586 2237\n10947 15212\n10088 12760\n84 12757\n4507 19719\n158 730\n5935 9093\n535 12206\n88 114\n10630 11915\n7329 9102\n879 3114\n5056 14918\n1504 11319\n4348 17771\n3591 10845\n1882 14251\n15668 15914\n10935 16069\n7176 12283\n10655 12702\n2698 14324\n8345 19191\n343 8567\n5656 19201\n5892 7213\n1340 14296\n6631 19624\n9444 11301\n4153 6666\n705 10664\n5076 15447\n3702 14022\n434 8640\n16579 18451\n10877 17069\n2868 5451\n10844 18236\n8954 9153\n17831 19017\n4543 11604\n2390 17103\n1065 10046\n14199 20196\n3469 19437\n12627 13047\n7731 13914\n880 8327\n12837 18903\n326 2499\n2792 14387\n14680 15588\n2373 12153\n11074 16330\n860 13564\n3351 18013\n14327 19139\n557 3216\n15081 18208\n2754 18574\n5922 10923\n4726 16265\n6369 6665\n547 8222\n13776 19397\n9381 17986\n6194 14648\n4306 15259\n3133 18317\n11078 17596\n849 19449\n7345 9780\n3235 17336\n3770 20224\n1553 17779\n1800 18632\n12832 20244\n4049 8369\n17788 19769\n7933 18209\n5094 6161\n2601 3552\n16915 18543\n6634 12342\n1481 15964\n11506 15006\n16262 17341\n3390 16907\n406 3808\n13501 14735\n5572 15144\n4362 6783\n4103 11591\n2594 7263\n9266 17220\n12025 19570\n8529 16028\n7180 19317\n2785 12410\n438 16920\n6527 8294\n8854 18528\n18862 19731\n1016 6196\n351 11220\n1140 5468\n8993 10013\n17304 19543\n4078 9048\n86 4566\n2140 8769\n1905 15267\n950 12502\n3879 13312\n17177 18426\n2965 18957\n9883 10337\n5376 7056\n722 3445\n1419 3688\n2424 16685\n11647 12732\n12382 18253\n5131 12541\n15517 17664\n12746 13280\n519 16879\n2299 11925\n13904 17042\n8575 19173\n5062 7080\n10782 12584\n7240 10265\n5546 8214\n14717 17025\n3841 18469\n13873 14553\n9480 13826\n6065 6896\n3153 13123\n13843 15882\n13669 16667\n2696 17576\n10590 17330\n786 15280\n1926 5590\n8904 11177\n1603 11896\n409 7738\n5825 6129\n7092 15649\n6955 12769\n6669 17977\n13034 19406\n1857 14547\n4789 5659\n9406 17946\n6671 7525\n12482 17965\n5090 16488\n6912 16559\n2020 4103\n11394 17581\n2751 12833\n10374 15477\n600 6801\n7483 8845\n10783 14807\n12112 19500\n12942 18294\n320 7444\n1613 4527\n5591 12459\n3643 10112\n711 10525\n4528 17696\n15447 16195\n125 12174\n1490 6808\n7559 11027\n7795 10574\n9622 11091\n572 2198\n5179 15871\n12017 14254\n5691 15135\n12664 12772\n5766 7776\n3502 12572\n2849 12116\n13015 18457\n5701 18406\n38 2349\n6152 16085\n9523 18613\n2635 14187\n5288 14943\n12418 14326\n3374 7118\n18831 19413\n16871 19446\n1591 3520\n15096 20065\n6235 11682\n3439 6297\n5366 6876\n12102 19353\n517 6855\n3263 3328\n6977 8711\n4574 14139\n412 8319\n1434 13016\n15874 19320\n6692 16483\n9672 17714\n13197 18037\n14096 16143\n12364 14960\n1218 15428\n4080 7360\n19 4000\n3741 16311\n10972 13232\n11054 11787\n14797 17141\n5091 5094\n1239 17896\n6821 8719\n10969 12307\n5042 8534\n10388 15885\n810 1850\n11017 11520\n8810 11382\n3140 13887\n9826 15390\n10124 16519\n5213 19882\n1027 9629\n2879 4245\n3641 8995\n12866 17373\n17194 19212\n14552 14586\n5078 18562\n1185 4173\n6356 18204\n3327 10033\n623 8007\n13051 14302\n2059 7192\n3350 12913\n2196 18924\n3445 11541\n1272 11900\n3659 11294\n10984 13618\n16640 18237\n10154 13636\n13141 13779\n2399 13788\n7090 9430\n13790 17840\n6947 11433\n765 5480\n8551 8821\n17036 19842\n7203 10711\n12660 13041\n4826 12199\n3789 4995\n18923 19136\n8327 14451\n208 15409\n5709 13110\n6189 15895\n5130 7875\n6312 12189\n12569 16324\n10257 11282\n9349 17578\n6558 17202\n14563 16965\n5009 11107\n2426 15683\n11343 17554\n5635 5815\n4653 5231\n802 19088\n13520 19507\n2959 3941\n16120 17547\n2885 17246\n14732 15638\n2832 12174\n17079 18842\n6887 14562\n6369 9426\n5208 14405\n1496 9348\n5470 14897\n13864 20275\n533 16197\n10900 14618\n9857 15718\n13540 15398\n9315 18166\n2217 19221\n1734 8445\n10095 11553\n4622 17120\n1098 19780\n985 20065\n5003 15911\n11066 20266\n6201 8278\n8447 19665\n3171 11108\n14680 15335\n748 3319\n869 14871\n10569 20195\n533 11191\n8678 15655\n4085 18792\n15409 17065\n11911 16651\n9562 18614\n8403 14694\n9241 12150\n1144 19341\n1726 7455\n2052 3479\n2674 20240\n11189 15254\n2030 14806\n1928 8213\n2210 9315\n8765 11217\n5197 13730\n6183 14929\n16979 19929\n2769 14386\n703 6042\n8549 11740\n4598 5738\n8674 10389\n2438 17645\n8704 20225\n7051 11828\n4985 8430\n3157 19161\n9183 11950\n575 13454\n2031 17701\n5381 6031\n6086 20285\n19304 20127\n10442 17794\n2117 14382\n12600 18169\n13258 14461\n10192 10322\n4294 9275\n8881 15737\n1029 8850\n6503 17530\n6729 16293\n1316 10094\n1087 9578\n4709 10434\n967 18267\n15524 19728\n3312 4637\n8197 16069\n11380 13829\n7801 17152\n63 12474\n4124 8684\n13920 17229\n7285 8501\n4978 16959\n4181 11075\n8608 10263\n7497 11981\n6210 8599\n6463 9485\n11453 17793\n3217 10045\n4325 19546\n11591 15246\n6892 17559\n6651 17498\n3159 10579\n3302 12616\n3876 19255\n4407 11840\n1965 5532\n1326 7032\n8977 12308\n5947 16309\n4406 11658\n12682 15385\n4544 12699\n5640 15398\n12959 15949\n4595 5183\n6053 18458\n4395 7892\n1437 4344\n1099 15048\n10308 18129\n367 8297\n10775 20021\n1133 15942\n5644 13910\n17995 19913\n1119 17561\n4023 8068\n11901 14706\n4362 17379\n2858 18829\n4674 7976\n16470 19336\n5189 9216\n9281 17081\n4093 18691\n3691 6681\n3367 9860\n7520 12541\n2264 9316\n5750 16569\n8928 12905\n703 5965\n6186 13519\n3159 17908\n4037 7468\n1557 14970\n12976 20223\n5015 19318\n1289 2277\n1313 1897\n6195 8748\n2557 3784\n4353 6489\n5544 14691\n9965 13494\n4050 17820\n3710 13551\n4194 10311\n6660 10317\n3087 6406\n2571 5360\n11630 15735\n10271 18491\n5980 17382\n5853 13942\n17012 18536\n227 2037\n5928 15870\n9546 10091\n7772 15309\n14538 15054\n3693 6861\n105 7407\n4010 11798\n7995 8042\n2185 17863\n18738 19853\n3276 12265\n3123 11151\n6640 7427\n5259 14272\n1302 6675\n9059 11970\n1153 16998\n6779 19056\n2904 6981\n854 4481\n10563 10684\n9724 13339\n4836 8633\n3900 11264\n5974 18423\n16667 18911\n12903 15533\n16246 18706\n123 3449\n6734 17531\n114 3030\n4198 14364\n16685 19889\n6602 8619\n2026 8964\n7357 16584\n4641 15055\n10358 14505\n4069 11561\n343 3898\n1248 4957\n4586 14607\n5508 10373\n4374 11433\n14336 14460\n251 1059\n3097 8042\n3338 3432\n9111 19105\n13136 17417\n2330 18679\n4822 16552\n7016 7238\n1175 12568\n778 18635\n1167 8193\n2672 2686\n6279 17373\n3525 8094\n12537 14987\n2375 8940\n2967 7714\n11061 11153\n47 9315\n1350 13625\n14981 16579\n1347 20278\n5579 7332\n5196 18512\n16004 16778\n12794 13050\n470 1032\n16808 16884\n5529 12741\n3776 13177\n2109 9511\n11942 13967\n6910 7971\n9535 17394\n10786 11540\n5255 5538\n5278 9493\n6202 17034\n10677 17555\n4858 18313\n10028 14578\n7554 12207\n10341 19782\n2689 8214\n4519 6872\n3969 8852\n2325 8992\n15210 17675\n119 17756\n837 1193\n6132 6156\n171 11267\n2676 12012\n11924 19587\n1473 9651\n5448 16598\n6224 15149\n2474 6095\n15197 16088\n5346 9010\n8552 18320\n10132 17185\n65 6150\n16638 16950\n9141 12524\n2480 2485\n6698 19008\n2263 6360\n9651 12345\n9885 18358\n558 12640\n5705 8506\n11591 17664\n9554 19172\n186 18001\n15557 15985\n10255 10840\n5861 16796\n13337 17341\n1822 6270\n4391 8748\n1533 14541\n9104 15279\n9283 14943\n11355 16037\n9969 19338\n5395 19636\n7179 15201\n814 6430\n212 12269\n4452 14591\n3664 7269\n12874 18442\n3453 9224\n1259 5782\n220 8770\n6654 19071\n440 16157\n13039 19988\n9089 19851\n16437 18200\n9577 11443\n10417 19249\n891 12753\n5438 14509\n2412 6673\n2888 5797\n3045 5551\n3714 4471\n10421 19942\n15411 19183\n12492 20051\n3923 6745\n8470 8488\n4876 5429\n10438 18614\n3040 11614\n1155 9081\n7470 15794\n17847 19128\n2116 9502\n1076 15752\n4411 17147\n2092 9316\n2234 10920\n6110 11291\n1380 12742\n1604 3000\n3452 19572\n13246 13859\n1547 5436\n14577 18728\n2862 5425\n14766 19382\n6112 7290\n7493 20095\n10813 16903\n9658 13490\n13351 15958\n1276 1924\n4650 11020\n14562 18812\n5429 12725\n3684 12545\n10246 16786\n7789 15491\n2770 15430\n1518 8787\n6179 11811\n54 5592\n6515 16763\n16248 18395\n11423 18789\n11405 18636\n2888 13417\n4003 6745\n3434 19235\n2133 12338\n8378 19620\n3446 12259\n8644 8659\n9370 12871\n652 7904\n8338 13663\n1638 7833\n18431 19599\n4848 5284\n12713 19984\n11916 13379\n3764 11501\n13750 16305\n7348 15658\n3455 15556\n5925 8621\n2285 3885\n2328 2774\n12096 17973\n13221 14182\n2733 17116\n6222 6290\n1773 13273\n16165 18220\n4406 19408\n11689 15507\n4852 14380\n4386 16167\n11587 17759\n3559 5458\n3029 10051\n6099 7941\n7131 18750\n14131 18290\n9138 17939\n6367 10450\n11933 14579\n3213 7203\n1390 2794\n5670 8006\n10021 13868\n3103 7134\n2079 15622\n868 12336\n8239 12653\n59 935\n7797 8258\n2750 19653\n5367 8951\n15045 19825\n12559 17684\n11548 15310\n5015 9343\n1689 1839\n5084 10238\n2904 18994\n3442 13829\n10477 16417\n2281 2733\n3133 17474\n4127 7671\n135 9503\n17638 19450\n9932 11277\n103 4632\n2589 19513\n5355 5569\n2846 16297\n1883 5140\n2072 19302\n2677 12470\n7881 17881\n3951 8312\n2286 8929\n585 17979\n1842 11987\n9058 13748\n7295 10059\n1159 3567\n6891 13662\n8955 19624\n14056 17712\n1093 19451\n6786 17365\n10020 16923\n9972 10409\n5341 11147\n7746 16210\n15252 17049\n14900 16046\n3934 14654\n13731 14683\n3723 15261\n5579 15181\n5461 9266\n3776 4349\n1704 15904\n373 15762\n6451 6952\n7333 18092\n4596 9691\n2801 8428\n2883 18246\n13290 18601\n11834 19580\n15707 19590\n14314 14321\n9175 19081\n13411 19598\n16037 19542\n2841 4581\n3815 18187\n2521 7271\n2126 9635\n280 7042\n146 15068\n11584 20083\n1384 13672\n16980 17574\n1451 20014\n2319 6896\n503 5386\n3917 18793\n9104 12451\n7859 12281\n969 1146\n5137 6520\n8241 15392\n2718 17783\n1460 16258\n10273 18336\n4036 8345\n6868 16742\n10642 14816\n616 15401\n2182 5881\n4909 13046\n982 11361\n4416 17239\n10463 16153\n1949 18130\n12579 17680\n3189 8724\n6322 19840\n1689 10242\n7316 11060\n2574 9474\n3708 6189\n18079 19830\n7149 16687\n15354 18622\n8281 19906\n2495 20245\n5794 13222\n7618 18436\n5222 12062\n11899 17162\n11312 18029\n783 1047\n11918 17052\n3911 9502\n5706 8459\n1278 2166\n6096 8828\n7504 13915\n5468 8070\n1007 18295\n708 11340\n6245 6355\n9980 13877\n13830 16713\n12188 19749\n2873 4784\n6123 11852\n4568 15283\n5536 11494\n4603 7520\n4717 12149\n1949 4343\n2591 6202\n2466 18075\n6465 7322\n3347 11640\n7267 19583\n4621 19798\n1825 7198\n664 13116\n6110 17640\n10590 12901\n3756 11279\n748 7030\n4446 5908\n13055 18713\n2395 5872\n2274 3105\n4548 16542\n9109 17878\n3144 16409\n951 9061\n973 20192\n8004 14501\n10568 16999\n1884 4940\n5044 9646\n2540 14507\n379 8173\n2522 12940\n4293 15944\n2678 10828\n10436 17887\n8965 16981\n10526 20289\n7695 14934\n12106 16644\n12457 14580\n17469 20154\n14282 16883\n6717 9360\n2985 19696\n5335 6328\n2345 5780\n5411 15239\n8460 19856\n8499 10429\n1643 1936\n3897 15906\n613 4378\n13285 17522\n7263 7325\n3058 6970\n10404 17340\n1526 3079\n3215 7643\n2337 15007\n5085 13052\n16364 17504\n155 12096\n9680 12356\n2843 11959\n9246 18311\n7685 8086\n15981 17697\n881 3549\n13206 16390\n3998 16504\n15315 17739\n2171 12082\n1368 6952\n1600 15801\n4914 16389\n6232 14682\n2463 11906\n8842 11260\n5770 15077\n1051 5882\n11130 16475\n9126 9750\n8263 11030\n1476 20068\n19187 19824\n3362 13168\n2084 17396\n7500 9020\n11275 13343\n13946 15709\n1019 15329\n1116 9489\n1682 10990\n501 18374\n14423 17084\n9024 14838\n6563 6575\n7025 8747\n16827 17311\n4706 9945\n2119 12785\n11431 17720\n3674 8794\n10442 12660\n6328 7916\n7165 9143\n2770 6131\n4577 11714\n10032 16690\n805 5079\n9486 13607\n4905 19734\n4697 17439\n14948 17280\n6613 16471\n7151 8639\n2672 14509\n7652 10459\n2759 10009\n14397 16352\n10754 14244\n1434 14392\n18748 19927\n9229 19605\n12453 14003\n11699 13335\n8544 16489\n6428 11064\n12832 16534\n6301 18442\n3498 19411\n2266 17945\n6583 17861\n6126 11049\n7172 11653\n14781 18641\n5042 13156\n1491 6480\n11623 16517\n12551 19359\n12920 20007\n18204 20084\n8669 12604\n244 13351\n1514 15601\n1607 12351\n9816 14246\n6042 6597\n2419 5227\n3680 4261\n3223 9830\n11305 16265\n9625 16940\n10516 16117\n6232 19328\n3079 6931\n10028 16700\n4277 10021\n5231 14473\n12430 18516\n9884 13353\n8437 11262\n962 7970\n1968 9169\n12049 14563\n478 11518\n1670 8500\n3182 4564\n5909 5974\n1516 10828\n3183 18812\n1722 4340\n3262 17017\n13419 19463\n5116 7409\n865 16995\n5207 19809\n8354 14186\n5952 11239\n8177 9581\n1784 11852\n7625 17438\n16744 18692\n8490 9805\n19 12232\n1872 6126\n6611 16385\n17507 19518\n11782 16737\n2998 14101\n2629 12168\n3919 7071\n2189 9871\n4272 17267\n473 6323\n7735 11561\n984 19432\n2907 5366\n5242 19214\n4628 8600\n7845 18680\n6560 11214\n15244 19369\n15728 18779\n4559 10490\n13091 20192\n4997 10758\n4319 17681\n8216 15038\n15111 18794\n7843 10616\n1463 19860\n5021 10995\n2671 9389\n10852 12914\n761 17372\n1317 7213\n352 5586\n2953 17407\n11076 17156\n5431 15390\n3040 15535\n13483 19719\n404 17491\n7991 18174\n16210 16495\n1524 20013\n13232 17120\n4351 4966\n9593 13404\n2850 8191\n7560 12369\n7500 11964\n3568 15292\n1309 11601\n10264 12259\n1335 4662\n16216 19217\n7532 15338\n8715 9039\n10325 12665\n3338 9276\n17745 18006\n10062 16196\n8743 11716\n3555 13499\n17270 20244\n1804 17699\n7966 13974\n9186 18498\n13832 14359\n3735 10166\n11440 17963\n4122 14740\n9941 17558\n2368 18990\n6819 11557\n7229 14697\n6908 11208\n9556 10260\n10485 14868\n3008 3836\n4733 10994\n5076 18901\n4773 9696\n916 2469\n4075 11889\n7239 7794\n13400 13506\n480 14581\n11264 17638\n10316 14064\n5146 15698\n5300 12540\n8042 11581\n1810 13914\n2454 13093\n3412 6554\n18943 19937\n4777 13602\n1219 12056\n6544 19670\n446 13406\n5953 15207\n6025 15326\n177 3444\n113 2672\n1863 4926\n16863 17605\n15062 16413\n2285 5354\n18567 19928\n1227 10003\n11313 13775\n4607 7280\n8039 12839\n3811 13743\n2040 18801\n5018 6871\n4127 17840\n1920 6903\n11881 13018\n3496 12994\n2917 14856\n16334 19213\n3984 11609\n2566 6512\n6600 18223\n1115 12187\n6098 18010\n6744 9711\n3563 17202\n9440 15859\n18215 19506\n4106 4660\n9630 10831\n2197 15145\n8432 15294\n1440 14155\n5946 15260\n2573 14414\n7065 7634\n10454 10649\n6078 11844\n19965 20275\n11239 18609\n7569 11555\n5755 10773\n7507 8777\n14134 19302\n11508 17711\n5371 15240\n15940 20245\n6498 11510\n1915 12546\n4250 12188\n3297 6061\n2194 6712\n10136 11845\n4790 9304\n1935 10587\n5698 15341\n13752 18038\n11075 19934\n838 13568\n2573 6468\n12420 17309\n9944 14482\n222 17742\n6101 19935\n4971 7253\n5730 12324\n10436 17501\n868 12070\n1566 7032\n2429 3566\n216 17517\n11671 15832\n7077 7108\n15505 19660\n3876 14096\n8129 12968\n10832 13811\n1215 7711\n9106 10022\n1328 17488\n5891 17892\n18382 18516\n4608 19728\n3231 12909\n12050 16152\n15673 17155\n7572 8280\n890 9255\n14518 14692\n3336 20147\n9103 12372\n1173 13694\n4357 15183\n5384 9448\n4656 5827\n14573 15154\n6946 7084\n5203 13560\n7688 19521\n646 1777\n11735 14316\n7258 7642\n18343 19118\n12586 17301\n8138 15250\n4765 10910\n2214 11125\n12935 18501\n10817 12597\n10042 18060\n130 9811\n14073 14087\n870 9163\n6951 11237\n10636 20055\n7713 7843\n10410 13865\n13576 18686\n5041 17235\n4395 17665\n204 16969\n8933 17564\n2499 6520\n7198 17933\n2080 9973\n1732 4114\n5339 5344\n2104 4062\n5532 18145\n14268 17752\n5660 14848\n4309 5141\n10958 12042\n5075 15950\n9756 14103\n10994 15156\n16358 17112\n9318 15295\n3158 14541\n13913 17852\n14735 16678\n3243 13213\n5418 16055\n2882 7531\n2667 12352\n16081 18186\n7280 13442\n9842 11919\n7660 19501\n331 6800\n11694 18998\n6111 9282\n2881 7172\n4095 19058\n9407 16053\n4371 10727\n14275 16124\n9550 19864\n3630 5463\n8234 18205\n7225 9446\n11002 17090\n10492 10900\n16577 17837\n7076 9106\n2779 12224\n12989 18365\n14197 17766\n9968 14318\n5874 17658\n2050 7588\n1094 2343\n4769 18303\n875 11236\n11808 15527\n12295 19675\n13007 17417\n982 14750\n14099 19967\n8951 15483\n9520 12011\n9327 16024\n11007 19839\n107 3700\n15795 16546\n3602 4974\n18787 19590\n4189 12082\n11299 19295\n1417 11970\n12700 18227\n6378 19216\n9068 10263\n3973 16112\n2495 14012\n12079 16137\n5759 16875\n12490 18198\n12644 16455\n5826 19247\n16279 16852\n2417 2863\n5056 12480\n10177 17704\n6010 17782\n3280 18923\n5551 12650\n7061 13203\n7799 11794\n1977 12012\n1586 12586\n8141 15387\n3400 15671\n10091 13605\n5391 10956\n22 432\n12741 17545\n7718 11132\n832 1334\n4432 16505\n4165 12316\n8929 11731\n3085 12629\n9478 18620\n4982 10986\n9207 9452\n4258 7718\n9817 14773\n2045 10232\n8061 9793\n4733 9925\n642 9073\n2291 5492\n11041 16115\n3215 17266\n8801 12666\n16593 18523\n1993 5403\n4136 13079\n4913 14421\n901 16153\n7256 14771\n1201 18966\n9407 16647\n7614 18912\n4860 9274\n4326 10235\n5331 18028\n17629 18134\n10775 20202\n8955 13261\n6589 12588\n6235 9048\n9814 10969\n9002 18528\n3107 3677\n4506 10829\n6861 6951\n7742 9726\n11433 12936\n3838 16956\n1810 5719\n1166 15699\n9866 16142\n8652 11865\n9693 9818\n9566 14160\n2728 18768\n4154 15748\n9680 15674\n10157 13532\n281 2188\n7675 13816\n4221 17118\n1283 13636\n13564 13704\n16352 16782\n14110 17490\n5002 15752\n6668 18064\n9627 18757\n17983 20241\n10497 16859\n8009 19455\n3131 7337\n7925 19217\n3224 4653\n537 10851\n13744 19013\n3266 16205\n1774 6549\n4133 8911\n7563 10509\n12216 17651\n2118 6528\n5672 6887\n1847 15027\n5291 8029\n1717 19712\n3112 17408\n12445 16892\n7528 14430\n15829 16367\n9889 16701\n2891 17850\n6687 8870\n11112 18254\n4985 9214\n6980 19703\n2318 8802\n13262 20159\n11859 20036\n1985 18632\n13374 19602\n531 12311\n6426 17071\n7767 18359\n737 9028\n5724 18461\n13861 14092\n7277 14544\n527 2796\n3347 6996\n5706 8362\n6669 8764\n4541 19127\n1861 5161\n2274 10460\n3491 5457\n8002 18111\n3534 5103\n6034 7011\n7994 11470\n2780 2975\n1449 9325\n8607 16314\n10550 14233\n1599 4699\n2249 5983\n7946 12218\n470 17396\n6423 14657\n2006 10774\n7391 13644\n695 6459\n6087 7149\n1160 4425\n14317 20047\n12940 16195\n11048 11827\n3375 7717\n7318 16192\n10100 17155\n1189 2744\n7786 13845\n6792 8100\n3069 13296\n11704 19502\n4095 15687\n4061 10951\n2739 13527\n8912 16669\n5738 9990\n8618 18644\n3644 11246\n6411 7863\n7919 12708\n17871 18387\n18145 18231\n1443 4376\n6367 16764\n2531 6040\n5430 19807\n10958 11419\n6254 18477\n10729 14460\n5476 18236\n2211 19360\n3480 12722\n1365 5192\n1831 6385\n8696 18140\n1437 19420\n13265 13487\n5257 8389\n5578 9129\n12552 14637\n13891 14515\n8500 17194\n4268 9235\n4943 12527\n2628 5217\n8339 17924\n4530 8423\n9493 15069\n4685 19620\n13840 19913\n6008 15219\n5705 16212\n4623 7326\n16860 19196\n4188 10527\n1712 10100\n261 6766\n11609 12047\n8468 13282\n6902 10071\n14586 17327\n2306 4367\n4496 16590\n3904 5869\n11238 14562\n1271 16550\n2175 16325\n4656 18611\n1037 10612\n11348 18733\n2091 10761\n8565 14164\n10149 16889\n791 6430\n7900 15795\n11411 16434\n14082 16626\n4815 12222\n5491 7875\n15474 20105\n6780 19041\n6319 8313\n849 6482\n11361 17763\n8660 10239\n11403 13980\n74 18291\n10193 10401\n5665 8783\n142 496\n13885 14867\n7128 9904\n8238 19402\n9028 9905\n11184 14503\n71 3166\n7012 10957\n7670 19914\n1002 5234\n3337 14850\n11347 18194\n8894 12035\n15384 19322\n7391 14034\n3778 4995\n11007 15358\n822 4974\n1132 16380\n6867 18231\n4249 10640\n5257 20113\n4773 6026\n2911 4258\n8 2619\n5953 12614\n17139 18825\n11602 14766\n9156 15082\n13147 17951\n1143 7144\n5604 8325\n1984 17709\n17218 17443\n205 15759\n993 13682\n2535 5400\n2501 6204\n14669 18395\n7259 19366\n9522 17413\n1164 15211\n16482 18292\n5048 6718\n1611 11751\n6966 16234\n950 18909\n3880 10543\n1419 18187\n2734 18196\n14286 15795\n8072 14681\n9847 16335\n7830 14670\n5115 6075\n6465 11646\n907 10752\n8835 17188\n432 12186\n7870 8449\n967 7424\n8107 18633\n6488 17088\n10421 19881\n1819 14118\n1289 2571\n11234 12759\n5547 8225\n3385 10383\n7324 17525\n1324 5970\n266 6881\n9775 18355\n14023 17201\n12348 14973\n4547 19894\n8319 10837\n275 14149\n9245 19194\n3193 4883\n6372 17236\n7753 14101\n2968 6049\n8755 16749\n11477 15609\n8447 19364\n8243 12524\n13644 19250\n10658 18927\n2951 8210\n14126 19231\n6866 17437\n8072 19400\n11732 15367\n3472 17919\n7896 13019\n1704 3641\n11010 11831\n11328 11632\n478 10197\n379 2046\n2332 14271\n10802 14339\n18376 18780\n8433 11233\n2016 12610\n9317 16442\n15279 15384\n3325 4647\n8016 18895\n13318 16993\n6858 13864\n11967 12091\n9152 9760\n1632 13691\n2687 7963\n1628 5833\n12359 12932\n1461 8672\n3902 13927\n361 1501\n6415 19254\n1436 18639\n3036 5282\n4054 9028\n14128 14274\n5514 12058\n8672 11373\n7352 17052\n6460 8694\n13547 18403\n10537 15690\n5106 18636\n4534 5898\n12089 15726\n12199 19243\n1742 10879\n8967 11619\n12262 17095\n17992 18025\n2224 10867\n8981 18846\n5420 8708\n1822 15325\n737 5097\n18523 19473\n14487 17131\n8690 16895\n8679 18321\n6048 15148\n695 2773\n14601 17852\n3333 15871\n7322 7381\n5399 6056\n6069 16163\n8683 10862\n980 2293\n18877 19743\n5798 12572\n9531 15314\n10101 15970\n13956 17172\n2227 10528\n2487 15708\n8922 19557\n12220 18283\n10835 12608\n5533 9389\n10860 12505\n7839 17611\n13734 18520\n16774 18941\n9538 14350\n293 9689\n5029 6692\n3101 10472\n12708 14527\n11061 16984\n8661 15095\n431 8047\n2580 7146\n909 10413\n4426 13497\n4674 12339\n7558 9498\n4898 6051\n14475 16044\n16468 16652\n4373 13102\n3415 13871\n2798 3580\n7181 18796\n15769 16610\n1141 11743\n15415 16605\n4501 8620\n5954 18632\n5290 8350\n761 9505\n6357 8698\n6948 9996\n10717 13857\n1556 15583\n15341 19055\n16509 19567\n2888 7933\n4747 20159\n5713 13585\n3100 10843\n11637 13065\n8508 12091\n7408 12308\n10253 17065\n11451 11485\n8867 17949\n8001 9115\n321 17170\n7362 11118\n5435 12559\n5587 14170\n14550 17328\n2771 17381\n12188 17140\n174 18645\n6093 7403\n3427 15179\n14639 19630\n954 11536\n15620 16021\n2518 17071\n6495 19071\n2773 17901\n3661 11649\n4681 16880\n5328 17394\n8684 17728\n654 11186\n6885 8758\n2639 18096\n6501 6816\n11462 20117\n17789 18786\n3146 12114\n1898 19900\n10064 14993\n1701 20022\n10904 16140\n6734 14947\n15996 17938\n3641 6113\n8853 14315\n6750 13742\n1769 10634\n3465 17393\n5250 9376\n13805 18537\n8726 17576\n2452 8995\n11789 17078\n495 17355\n11547 16942\n1203 17673\n8341 15602\n4038 6750\n917 8506\n14779 18268\n751 4066\n2187 12596\n144 4109\n256 18726\n14002 14277\n1922 20000\n9852 13144\n8788 19045\n1861 6221\n297 17544\n2569 15045\n5431 15912\n11834 14410\n2322 5151\n11684 18984\n18659 18965\n4905 17639\n5703 12035\n6556 16999\n756 10462\n9086 17982\n16184 16435\n945 19909\n14146 14226\n11988 18804\n16803 17099\n19683 20158\n4072 17702\n1293 12127\n11319 18414\n173 12046\n3324 13141\n11358 18827\n15051 15418\n16409 18436\n7075 14562\n159 10767\n6707 13983\n2917 11774\n6228 11448\n533 14489\n397 5659\n14791 16212\n405 10787\n4086 14827\n13518 14663\n8024 9578\n6953 12876\n189 2469\n3016 10224\n10461 20018\n6845 19057\n2656 14335\n12929 18329\n4598 5684\n716 15424\n11046 20182\n2824 14005\n1181 2209\n19441 20073\n4300 16187\n9224 19604\n7556 16862\n7569 11530\n740 18380\n3155 6529\n2022 16167\n6776 20251\n524 9584\n6245 16393\n8059 17747\n1517 5354\n14505 19822\n4717 14358\n10264 12802\n10891 19538\n4219 7447\n2431 18311\n5310 6965\n5001 19210\n7537 10504\n10575 18796\n7907 15376\n13751 17061\n11552 19308\n4787 18810\n5640 14512\n1565 20276\n10963 18577\n5043 10727\n6984 9949\n8651 11568\n7894 18608\n2537 8448\n6883 11755\n1941 9453\n7127 17964\n2242 19304\n14201 15009\n7804 9185\n2365 4918\n1560 8675\n6508 9563\n2395 14012\n3503 12309\n6008 18197\n13176 17728\n10297 14891\n1292 19702\n974 4294\n7342 8403\n2889 13643\n3837 11095\n1915 9217\n757 18755\n3365 12340\n2705 6362\n7792 15582\n11914 12184\n1080 10503\n14338 15315\n15922 17637\n4690 8766\n9330 11694\n8540 18683\n9182 17213\n868 3757\n1092 5998\n1758 6258\n14504 17053\n11864 20282\n400 17605\n6005 14939\n1673 16678\n2169 13645\n6633 13982\n8501 11648\n11466 12452\n3122 5388\n8596 11239\n2770 16873\n15662 16362\n3197 5503\n9572 15580\n12393 18615\n3354 15764\n9936 17213\n2124 14760\n2300 2566\n857 8349\n9296 17696\n8719 16292\n12408 13777\n2246 12955\n1816 19266\n2552 14081\n13927 19320\n326 5537\n6442 7996\n13927 18386\n661 4914\n8094 17409\n9526 9754\n6771 17025\n3791 5177\n4846 17816\n13099 16040\n6221 14642\n6987 10332\n18046 18257\n782 12969\n874 9163\n4940 14340\n10387 10917\n6496 7444\n4945 8964\n5714 15206\n3613 7919\n4677 11110\n11132 19761\n9221 12582\n365 4611\n2373 18893\n276 18807\n14 10961\n2782 3201\n12715 19077\n955 15295\n735 16979\n11987 15788\n12550 15777\n3334 19403\n453 2368\n7581 12133\n5742 6837\n6451 19409\n13399 15220\n1968 4956\n2874 13226\n7160 18810\n13941 15332\n2204 18342\n13928 18070\n2824 8441\n6578 10005\n2578 19496\n3957 4063\n3922 11265\n6555 9208\n9408 17060\n2197 18626\n6553 15107\n11950 16392\n6801 10532\n2715 8212\n3662 13724\n3247 19435\n5141 11477\n1434 14514\n7223 10347\n1297 16699\n3686 8900\n7585 11302\n17213 18939\n5745 6427\n12158 17507\n9534 19598\n1032 3333\n5911 6249\n14793 19426\n12024 12864\n3464 18566\n13874 17019\n593 1404\n4733 16028\n506 8763\n11380 12014\n321 7406\n7582 14184\n5263 12318\n11238 17968\n255 12302\n11055 19870\n9421 14643\n16359 16751\n6107 19535\n7873 8549\n8751 16150\n27 2993\n2109 3299\n556 16260\n4474 17182\n2298 6409\n3683 13504\n8978 11278\n15781 18538\n926 13594\n13324 19418\n8986 13638\n10654 18229\n7887 11889\n7673 13992\n10905 17517\n4304 19259\n12655 16644\n13118 14867\n8165 11715\n4849 17343\n1099 2285\n4357 7195\n14260 18924\n2609 4739\n14129 19329\n3890 14406\n10023 20274\n9959 12833\n2202 16434\n10170 11581\n7610 8148\n5115 5487\n8119 10204\n1596 13509\n326 20026\n5872 9827\n8707 19715\n4144 16901\n4546 8984\n1299 3741\n4167 5227\n7251 18408\n7679 12073\n3403 6275\n4811 8895\n10719 12684\n7670 16887\n192 18923\n3190 12796\n13316 19235\n16013 17542\n6480 13433\n16825 18215\n8780 9416\n11872 13471\n14607 18019\n11444 15609\n1552 13588\n7962 12054\n4709 6147\n11880 19714\n1869 3319\n373 3790\n337 5493\n4248 5434\n9735 18626\n12333 16621\n14511 17516\n5710 17299\n381 19661\n1651 13180\n580 2610\n5180 14890\n7747 10134\n1955 4157\n652 17165\n9235 14900\n17130 19581\n7098 9713\n5152 9718\n13350 13541\n15907 19445\n15364 16071\n12155 12784\n5662 12176\n11228 19168\n4883 14037\n12339 14667\n7233 17002\n8390 10623\n713 4342\n10495 13691\n8173 14193\n7941 12246\n5832 17607\n10369 19564\n4412 17534\n3786 19160\n5155 18447\n3923 13059\n6393 14654\n4277 12277\n2424 15658\n11230 17266\n4588 15889\n3045 9759\n575 16641\n2642 12706\n19824 20115\n7571 13474\n5882 18504\n2190 5870\n2105 3711\n4501 17821\n10569 14236\n13070 18638\n1891 5820\n5764 17067\n12787 20121\n11053 11236\n6861 18506\n16603 16967\n2315 17270\n10960 11972\n10274 12229\n2125 9262\n3268 17567\n10653 18591\n5347 7741\n3108 17181\n9269 18103\n3731 16718\n2807 14976\n5137 18809\n19536 19578\n14457 15402\n8479 16319\n8430 14782\n7916 11081\n4518 8727\n12665 14472\n6803 8076\n8937 13314\n5921 13828\n10778 12222\n4741 7655\n7742 17059\n6312 19098\n10197 12485\n11017 19285\n12220 12356\n8480 10747\n131 2375\n7048 9365\n4933 9100\n2739 12919\n12676 18243\n18976 19987\n15637 18797\n983 12026\n5992 7335\n576 10090\n10758 14906\n4406 14862\n1698 11672\n257 9204\n2633 3066\n12776 18708\n1388 10398\n5653 7149\n12898 13429\n1231 9903\n4906 6603\n5225 16593\n515 5272\n7957 11333\n3855 15527\n8642 19862\n1711 3701\n7021 16536\n3313 9568\n9620 15012\n3199 8854\n1509 11001\n495 724\n18066 19298\n7024 8413\n1747 9847\n1051 3953\n3039 14008\n7454 11391\n5953 15369\n38 13417\n2696 19615\n17979 19816\n3587 6856\n3757 10123\n5872 19224\n9163 19770\n11674 17106\n4794 14123\n7286 18005\n10493 11613\n7546 10272\n1479 7450\n3756 10008\n875 10250\n6090 16156\n9896 12202\n11914 16146\n16001 19206\n10736 17901\n13326 18994\n6493 10681\n6152 18574\n951 12255\n2574 5184\n193 16784\n813 19240\n10585 15828\n6859 9059\n1603 4403\n3036 9652\n3444 5580\n6700 8508\n16403 17987\n13496 15858\n17265 19159\n6420 7333\n6709 18754\n17377 19234\n284 16406\n5241 5446\n4549 16304\n5347 10457\n4732 17293\n12161 15656\n14470 18713\n1671 12029\n15611 20045\n9660 14949\n4435 17446\n11600 15918\n2409 7398\n886 9595\n9249 18309\n13896 19664\n16284 19801\n1089 16974\n7801 17469\n15847 19972\n5944 17067\n6652 17356\n9507 10757\n14764 16804\n8942 9550\n7225 17630\n10744 11160\n730 15268\n1861 5877\n5654 8932\n7417 15442\n1257 20096\n4903 18206\n8175 17181\n12826 15781\n3709 9049\n10220 15318\n191 11743\n3331 11233\n3804 19280\n17797 20179\n5584 17323\n8706 10001\n6770 9815\n6306 13691\n1353 8883\n2303 15991\n6354 8265\n5129 18478\n3822 8258\n5709 12018\n749 1761\n3600 17679\n468 10209\n2598 3686\n5083 8516\n4689 7382\n109 7718\n2202 19564\n3460 8954\n6704 18029\n5872 19310\n3168 10084\n7669 18795\n12056 13743\n1571 17022\n7698 18585\n14091 17917\n8378 20256\n11597 16492\n1406 8105\n11718 15725\n3120 18501\n4295 19722\n3417 19358\n2270 17886\n5395 15033\n1994 4162\n894 5333\n2056 10572\n192 18034\n6710 7962\n19111 20147\n5995 14865\n1313 19080\n7752 13335\n10751 11396\n9538 11152\n6905 13509\n12158 20273\n1046 3984\n3238 5685\n8734 15754\n6371 6583\n7597 13640\n2554 14488\n8586 16249\n3730 13093\n6230 12076\n10043 16310\n11962 12431\n5896 14989\n6294 8280\n13692 14251\n17645 19426\n5651 11588\n12215 15629\n2823 19309\n9142 17758\n468 3944\n14672 14762\n4646 16522\n9730 14989\n1263 18800\n4227 14902\n9339 14212\n9258 13339\n9006 11292\n426 4889\n10246 14385\n7271 15665\n5176 14693\n13948 16091\n15856 16345\n16190 16795\n7803 19452\n5240 16558\n7608 17051\n12935 16611\n1210 3528\n7847 16122\n15635 19294\n11507 19603\n13823 19402\n13246 20031\n17000 18502\n3261 7064\n16005 20044\n342 10861\n18383 18738\n4802 8789\n10619 16675\n11909 15776\n16016 18273\n652 7099\n7913 9407\n5970 14998\n428 14813\n8850 13878\n4706 15483\n11218 18219\n566 7803\n11578 16443\n18 14492\n771 15759\n13919 14218\n1879 8013\n8646 14316\n4985 11918\n6771 16634\n5853 12838\n10530 13303\n6668 18407\n2177 12577\n12987 13041\n201 2741\n12487 16317\n5574 10128\n7469 18290\n10408 18329\n5989 12350\n262 700\n5987 13363\n2563 18180\n5822 10532\n1329 15585\n717 11855\n1236 8315\n13358 19544\n11036 16348\n7894 15781\n3829 5737\n4821 10939\n2042 18113\n4777 14590\n1248 13256\n4425 5610\n13250 17494\n142 5495\n10730 18365\n10521 20285\n10212 14158\n3067 11288\n5069 18301\n12659 18448\n5803 7909\n9853 11401\n10030 12664\n5634 14905\n15377 20158\n2400 19981\n13334 16544\n565 13877\n7693 8875\n261 19993\n10553 12787\n2794 9840\n4123 17619\n1603 5482\n16014 16058\n8737 15890\n3874 6409\n3067 20149\n3768 17075\n3965 20095\n7315 18959\n1003 7506\n559 1942\n1810 3364\n12328 19971\n11522 12174\n7107 10552\n7546 19602\n3256 17390\n135 7761\n4568 15509\n5555 6633\n6959 17878\n7571 8161\n1839 14849\n2272 4419\n222 5311\n12765 18239\n13544 16723\n3792 6856\n2694 17018\n6944 13434\n6728 19212\n10838 19365\n1713 7566\n7580 9006\n1310 8341\n7683 15823\n2827 4231\n2235 10982\n8249 9650\n3737 12322\n11862 19386\n15205 15429\n11133 19686\n13264 13512\n4967 11756\n434 10455\n7998 11545\n5063 18643\n5815 7159\n1003 5154\n3075 4660\n13773 17298\n3548 18637\n11919 15298\n5322 8972\n7500 19648\n3310 14304\n9306 13043\n15842 17466\n2451 14592\n11930 14053\n1448 8811\n8618 10379\n10924 14013\n4281 16775\n7002 7350\n15347 19928\n10693 14631\n5163 6029\n4581 15838\n7307 20216\n10750 16020\n8399 16799\n7261 19094\n8038 10814\n6886 19607\n6179 16948\n1649 8969\n16469 19994\n7262 8925\n8688 17184\n3002 8463\n1564 7791\n3909 13741\n9187 11335\n6705 9517\n3408 10564\n115 4927\n5707 6839\n10182 13243\n9130 17453\n3798 5502\n11380 15771\n12784 15175\n11061 14106\n19468 19810\n11386 18541\n6517 10409\n375 14423\n2900 8359\n7501 16685\n506 4776\n18570 19671\n929 4724\n9094 12305\n10723 12391\n10144 12161\n5300 16341\n8383 14919\n3129 6363\n5314 15077\n3662 14658\n214 19054\n10448 11827\n2306 4508\n9848 19470\n6795 11866\n10007 18935\n12748 15415\n3539 7156\n10936 18880\n1484 19908\n11453 12805\n1428 12562\n2635 17740\n4290 14785\n4707 13922\n11640 14822\n13355 17191\n19629 19937\n15686 18852\n1601 4083\n15782 18446\n4523 17003\n10158 10821\n9549 11088\n14042 15106\n5180 13865\n1101 10044\n4073 16449\n5727 7341\n173 5894\n1141 9591\n8635 14089\n7778 17843\n9118 20155\n3763 18655\n6240 7960\n10955 19301\n9313 13577\n1724 20042\n4522 6730\n2611 5023\n14109 16740\n7040 9690\n4476 5170\n3649 10646\n11431 15697\n1643 14335\n5665 15346\n5631 18920\n2319 19620\n4697 19024\n8739 19749\n9619 10774\n3327 18281\n9591 16303\n12974 18484\n7625 9308\n3163 6820\n6369 9263\n3973 5116\n6692 17712\n1009 15960\n1317 3057\n8287 9905\n9695 12216\n2669 14023\n1735 8050\n5637 14679\n15152 19208\n3995 7425\n233 17815\n11209 16092\n7416 9628\n9451 10525\n3417 19350\n4603 14880\n1579 19502\n6019 12077\n3804 7162\n19971 20001\n13578 19713\n6426 16428\n6314 7322\n3463 3963\n4386 13397\n125 6833\n671 17989\n3066 12913\n6512 15835\n10950 11894\n16862 17988\n8439 11194\n8773 10993\n4970 19806\n8057 11030\n4753 7180\n64 8613\n5037 12890\n5301 16763\n6491 9852\n13767 14754\n15462 17058\n7470 10178\n4974 19728\n11860 18805\n3920 6058\n14357 16789\n11821 14830\n7778 19567\n11028 17436\n9562 10014\n7574 13147\n5235 18999\n6342 7937\n3293 6708\n11280 17805\n7960 8709\n3455 12876\n12026 13742\n12282 17494\n4030 14451\n8194 17424\n5198 9721\n4119 12452\n66 9673\n5600 9097\n2193 16750\n11689 13104\n1204 4678\n1447 14774\n6763 7510\n9524 12842\n7918 14002\n743 20098\n7177 18874\n19318 19786\n10552 15157\n9370 10070\n5606 12793\n8648 9693\n3557 11072\n8430 18433\n5926 12184\n3041 3962\n17535 19743\n7917 15804\n4712 18192\n11152 18017\n4787 16366\n3317 15516\n10248 10630\n579 19212\n491 1165\n15355 15723\n7073 15799\n10034 18658\n16896 18508\n10250 14665\n11592 15622\n737 12343\n5021 7601\n4034 5975\n8996 13572\n17286 17773\n7570 18696\n8697 17235\n5552 17357\n6480 11507\n3003 13439\n492 18562\n2881 12960\n4598 15703\n12907 18894\n5199 5422\n6248 16702\n143 862\n15564 18434\n14022 15717\n4722 5796\n32 15051\n8591 13487\n14625 16520\n8688 11147\n3332 8714\n10541 16876\n15962 17239\n5934 10312\n8099 17543\n214 9266\n8782 12749\n5088 10455\n4912 11225\n2632 14622\n4800 11099\n2451 3156\n9613 11275\n4513 19939\n13940 17955\n5591 11008\n9251 12083\n9806 11480\n6117 10416\n14569 16603\n8062 18242\n6701 14968\n12488 14721\n1000 10567\n12104 17270\n476 4564\n2873 9821\n3703 17295\n10983 15640\n7848 9788\n12592 17191\n3356 3994\n2606 6722\n5623 9704\n7674 13088\n11823 12893\n3228 13926\n4938 13568\n2334 9706\n4051 18031\n3130 19964\n11207 18587\n5891 15492\n7770 15107\n3805 17487\n19033 19159\n8509 16190\n10542 12198\n5427 8080\n7216 15130\n11016 16539\n9122 10462\n3421 17609\n13360 20172\n7752 16773\n11040 19192\n3759 17563\n12357 14780\n2942 9094\n12460 16903\n592 6227\n17449 19891\n6093 9856\n5127 9962\n3947 4720\n1635 19951\n6315 16582\n16202 19518\n13107 19697\n2700 10301\n13465 14933\n7781 8604\n11339 12819\n3093 15599\n9574 12237\n2625 4347\n422 4778\n4648 11987\n1829 5717\n3525 5781\n4464 7652\n2739 15302\n9559 11955\n4688 17163\n6573 20244\n8052 19505\n5095 12579\n5629 11210\n14339 14447\n4438 6396\n12126 15464\n12566 18171\n10078 17497\n649 20230\n1152 10547\n1745 6197\n6558 14043\n10105 17665\n14242 15582\n13833 18390\n16065 19543\n12420 13947\n3143 7542\n7572 15676\n4779 5298\n4679 14829\n244 6922\n11348 18432\n14639 15576\n1796 15006\n5098 9111\n19758 19824\n14986 16519\n18362 18554\n5976 16471\n3543 6475\n7878 12201\n7167 7909\n4074 19426\n11436 12565\n8997 16088\n2530 14715\n8472 19934\n3573 4933\n15079 17897\n12526 16296\n6068 11531\n7606 18608\n11057 18792\n13611 16384\n9986 17579\n271 4688\n9443 16200\n7594 17897\n10618 19933\n18714 19514\n8451 19878\n4914 20231\n14521 16475\n14740 16205\n9201 14826\n11110 15609\n5140 16725\n3689 9002\n11391 14560\n2897 13834\n1929 14616\n10895 19712\n11054 19829\n18971 19627\n10022 14800\n9619 16041\n8328 9834\n4035 20114\n12545 16319\n10681 11204\n9170 20253\n5575 9827\n7117 12727\n1130 15853\n6538 19592\n18717 19783\n1054 17805\n2744 19320\n9899 17788\n8000 15396\n3044 17014\n3336 14244\n5210 7517\n5517 7208\n16770 17373\n13651 14196\n12351 12805\n6795 18442\n8038 11463\n935 13097\n1027 9409\n15357 17373\n7234 18665\n2480 4938\n2429 12213\n14037 18613\n7017 9670\n1937 15874\n3981 4931\n5570 20067\n4002 7730\n4819 17618\n3977 12592\n8766 11209\n2024 9485\n9909 14091\n8973 16355\n8280 18782\n11142 15252\n7050 14468\n669 16611\n16642 17637\n4475 6633\n4280 17671\n7774 12079\n1527 5496\n12343 17595\n9327 16828\n2103 14458\n6179 7897\n1132 15908\n11890 12387\n3423 17303\n13743 19911\n7058 15716\n14966 17188\n2833 16497\n6511 15128\n12642 15675\n2465 3772\n5312 18612\n16169 18415\n10618 16423\n487 6606\n9963 13145\n15886 20244\n9038 10170\n17924 19216\n2447 3667\n14684 17908\n2975 11051\n15106 17686\n10647 11619\n3855 9969\n9663 14624\n1856 5617\n14895 19326\n6638 15298\n5813 19513\n3683 13769\n2967 4513\n4926 7771\n3316 18763\n5963 20166\n11977 12504\n2851 13902\n5994 14401\n4389 10686\n8997 12267\n12322 15792\n3522 11838\n1292 17280\n2367 13518\n2615 5523\n8426 13878\n6423 15276\n2720 15265\n748 12141\n8284 16104\n13738 17120\n6940 19645\n1797 14571\n11842 15748\n7771 11452\n6003 12864\n12632 16008\n8676 11578\n736 19054\n8731 18814\n1869 5300\n2014 19215\n15114 18179\n2296 6195\n16330 18052\n2697 17142\n6032 11102\n4619 15660\n4497 15073\n17840 19611\n2207 18837\n3500 19321\n3208 12641\n8631 19474\n16159 18290\n9324 9711\n441 3686\n4218 17028\n10694 17593\n1205 8787\n139 2651\n3042 19996\n7234 11468\n3476 4670\n5851 7796\n16734 19604\n3642 14330\n7544 18597\n6856 10670\n2198 13626\n8198 11650\n11364 19659\n4013 18030\n16553 18184\n7718 17644\n16912 17535\n6186 18513\n1642 14768\n10441 14389\n2469 16677\n2993 8048\n9648 20118\n5195 10053\n2751 8734\n14101 19921\n6014 7665\n10422 18057\n9570 15206\n4926 8432\n10353 19186\n6117 19962\n10287 16825\n5223 10063\n6905 9209\n333 787\n9150 10439\n2351 12086\n9096 14985\n4086 12669\n14477 19803\n2944 6647\n9554 9589\n11364 13160\n1104 18771\n4301 16828\n466 19908\n2791 10322\n2896 8954\n6791 10911\n9383 17161\n6706 9275\n8211 19447\n1467 19734\n16426 16570\n3805 10766\n13676 19317\n2943 12339\n3672 6819\n4793 6973\n4864 17991\n12477 12793\n165 14815\n4530 18673\n1544 8091\n16571 18330\n809 7780\n2611 4460\n16917 17456\n12352 17038\n603 13635\n19276 20111\n1563 14718\n14333 14907\n1076 7730\n15884 17738\n9772 14179\n2666 4740\n3810 8743\n2654 4980\n5320 12337\n15559 15977\n8015 18412\n9849 20231\n3806 15290\n8895 17136\n11780 11868\n2280 15273\n5674 13783\n149 15745\n8492 16448\n8384 9460\n19065 19520\n1513 18668\n343 18386\n3212 5631\n5319 19577\n12706 18916\n19442 20259\n17936 18988\n16036 16169\n2052 2109\n23 2099\n5291 14439\n7181 18183\n13959 19321\n4716 5377\n6429 11236\n7327 11687\n15293 17717\n312 8613\n16783 20080\n5855 18762\n6999 12854\n4027 8826\n9384 14804\n7090 17925\n11378 16977\n2742 5546\n7749 19982\n4529 16717\n15467 17829\n8216 14255\n7464 17911\n3625 14265\n2425 16740\n5904 10448\n13684 20152\n5399 8521\n3450 13790\n3388 3684\n14704 17482\n557 2591\n10781 17744\n9884 13594\n2770 11231\n13756 15949\n376 15707\n9804 16854\n1410 8790\n8257 19724\n3081 19035\n10460 17074\n4858 12536\n18551 19545\n2800 11163\n969 17121\n1148 17846\n6808 14424\n4334 4555\n13398 18985\n3297 10742\n11028 18565\n784 13173\n8084 18483\n13780 16535\n3123 20277\n17878 19031\n10055 19345\n4552 14588\n14933 16506\n540 18668\n8763 10438\n428 6928\n12656 16840\n3785 9008\n5677 7418\n11359 13809\n5208 19158\n8129 15408\n10148 10894\n7419 12968\n285 2570\n1498 4001\n889 12509\n151 9376\n9039 18911\n6785 17730\n12502 13957\n321 1636\n7235 12258\n5554 6846\n983 3235\n18515 20001\n1967 11068\n17865 18468\n16263 19223\n11649 16144\n12811 18718\n17376 17896\n6778 12054\n480 17504\n5836 7041\n129 10096\n2321 16277\n9783 13463\n6374 16693\n7678 11686\n8135 12569\n10923 13129\n18658 19542\n4699 10997\n3002 7762\n7572 14499\n9572 16285\n673 19245\n6211 17734\n4180 5320\n2291 6206\n3480 5244\n9304 15559\n5818 6949\n4510 11409\n3876 9151\n14754 20240\n7271 14169\n1351 11913\n1126 10556\n7228 18190\n408 7029\n10542 18454\n7721 10962\n12134 13996\n5594 8574\n2006 4511\n4270 9133\n1907 13700\n4019 17679\n14659 16318\n1921 9335\n128 12601\n3487 9119\n8717 13037\n10646 13867\n1012 6565\n4803 9298\n1460 1724\n3438 15462\n3979 16325\n5058 19809\n312 5897\n1660 18267\n677 5691\n3334 15630\n2573 14495\n5338 10140\n8200 18413\n12683 18217\n10401 10446\n1491 11402\n11248 15049\n10177 18473\n10193 17860\n1534 9338\n13645 15333\n68 2777\n10282 14950\n4172 15739\n6545 14022\n18036 19126\n5313 15565\n3771 8978\n8867 17471\n11368 13852\n4299 4811\n823 17990\n2145 2518\n2923 8879\n6406 7891\n5811 13401\n9421 16757\n682 8778\n3069 11239\n3646 11629\n8846 14466\n12362 13555\n12343 13661\n3562 14170\n19752 20214\n7744 12841\n13804 16308\n8700 16853\n6217 9179\n623 14554\n10878 16641\n15682 19185\n2676 16029\n14927 18685\n4218 16849\n8542 17742\n10781 15007\n2644 8936\n9895 14231\n13413 16295\n9614 15053\n6328 11956\n3821 5688\n4819 11732\n2703 4727\n11495 19403\n4090 14619\n15607 20084\n10961 11033\n6483 18422\n3282 12327\n1692 7181\n6583 14710\n1073 13837\n4830 8878\n11829 13881\n15467 19713\n6566 18322\n4045 19386\n2838 10748\n4254 14958\n1491 20123\n13372 19400\n5797 7921\n12199 19766\n1749 7321\n71 1911\n6819 6866\n1723 14117\n1161 16534\n2510 18757\n907 15787\n4318 17914\n378 589\n8964 20026\n5847 17438\n351 6619\n4175 9315\n10927 17400\n2119 14392\n14716 18152\n6216 10101\n7133 13811\n6782 13624\n15276 19951\n10903 19230\n10836 14165\n12227 18560\n401 13464\n17602 18663\n2078 16852\n980 15423\n17601 18437\n2630 4460\n6142 17476\n2486 10679\n10811 16663\n4405 18592\n6416 10315\n43 12068\n478 570\n9585 10991\n23 16929\n13797 17583\n9520 10456\n8328 11028\n6095 11948\n131 7796\n17515 20263\n4225 6268\n2420 15274\n1673 20086\n3658 9975\n14048 19359\n8022 11858\n1584 14560\n6895 15093\n3931 8767\n13614 16613\n12184 15511\n9347 12546\n8965 13243\n9738 16918\n6683 14344\n1237 9290\n8577 13755\n5875 16832\n8870 16545\n6100 9834\n1790 18032\n3979 9019\n3264 8358\n3908 10126\n4722 11286\n6851 11439\n4403 17939\n9 19487\n1724 10018\n13604 19094\n15287 18711\n1944 12233\n11554 18428\n5146 10843\n8786 11555\n4241 11721\n18927 20202\n6496 17124\n1716 6425\n175 5518\n19656 19928\n8164 14175\n9282 18134\n10714 15671\n12870 16819\n8788 15503\n3911 4341\n2307 14297\n392 14441\n284 5705\n15864 19811\n4475 18789\n993 13076\n10815 11618\n16615 17538\n9016 14462\n3195 14794\n4413 12847\n1788 7068\n2786 14567\n3074 4249\n5016 10264\n6824 7025\n11256 12738\n2598 13607\n12023 16978\n4069 13835\n884 9982\n474 16274\n961 19337\n3893 12971\n2302 17945\n2522 3123\n13484 13570\n12714 20059\n10792 10968\n14350 18813\n16233 17766\n1568 14966\n2 18927\n12059 13703\n3648 11907\n10853 19374\n1376 10368\n11709 13366\n6485 13107\n10872 14815\n15291 15906\n3532 16017\n545 19396\n2005 15693\n3067 3678\n2092 4250\n784 15965\n156 15105\n4347 8684\n2985 11476\n1281 4219\n3413 12636\n9402 16653\n13121 16408\n16737 19143\n4761 18146\n3697 14103\n15884 16484\n6788 11460\n2381 17818\n10399 12832\n4494 7615\n719 10638\n11305 20003\n3262 10004\n3248 16522\n1621 3391\n9917 15644\n4271 17683\n6226 18203\n5833 17694\n7557 18430\n6179 15799\n11384 15134\n7899 12854\n899 18909\n2582 3858\n1319 14501\n14872 15117\n9189 15163\n2324 15029\n13009 19088\n713 5585\n1953 19983\n6635 18070\n8165 11660\n12993 13538\n5445 10284\n3774 4506\n10640 10759\n8643 18821\n16284 17285\n4682 8433\n10952 17383\n11556 17133\n4876 8525\n1347 6191\n9352 20268\n6667 17262\n12233 17524\n1629 8434\n6936 18951\n4459 7509\n427 8306\n10011 16179\n8625 10062\n4245 7071\n7338 17758\n2881 15443\n5824 14349\n17107 17576\n5738 15514\n2605 13710\n16952 20125\n12029 15974\n7135 9041\n14904 15172\n1209 6439\n8394 10058\n17828 19008\n3185 19570\n12537 12614\n2900 7310\n15474 18887\n38 18195\n844 1981\n8678 15144\n2383 18644\n11632 20197\n305 7349\n10950 16382\n7727 9937\n174 11989\n11101 11205\n5020 5244\n12382 19263\n1397 2368\n7183 9931\n420 3627\n9961 14916\n6773 15141\n3579 19671\n344 6770\n5614 12753\n8674 17652\n45 14334\n2263 12983\n7598 13078\n965 17970\n625 19133\n6536 17371\n8456 13120\n16244 17555\n3424 16335\n6167 9118\n1592 2944\n3215 5639\n4211 10174\n6475 19013\n2135 7868\n3570 12063\n1368 5450\n8908 13151\n6255 12549\n5390 14134\n10742 19884\n15650 18096\n2302 16446\n13730 17495\n309 15840\n11002 17482\n14251 15838\n11380 16835\n1333 8525\n9175 10238\n16220 16974\n730 12579\n5176 13839\n2256 11185\n5833 9127\n8862 19985\n7483 7843\n7701 18916\n6735 9422\n4402 16115\n8419 12703\n261 8648\n7742 13284\n6539 12673\n16843 20091\n13630 19184\n5955 13901\n16430 18308\n6452 15948\n2691 6220\n17463 19039\n107 14668\n7661 9985\n13163 18459\n2061 15285\n8429 14971\n3890 12626\n531 16885\n7311 17367\n5626 7269\n1083 19387\n803 15583\n2888 15229\n2670 11511\n6469 7480\n5635 14627\n7937 19459\n10097 11121\n13407 19666\n15237 16996\n243 8545\n8447 19120\n1766 12054\n8621 16122\n915 5701\n3125 12303\n6745 18734\n12636 13679\n3824 12540\n9354 17359\n1773 4677\n14046 20186\n13231 18733\n6856 14365\n181 8692\n17778 19978\n15629 19384\n14779 19905\n12578 14303\n6243 16544\n4168 17549\n5498 19171\n8819 12302\n4543 12416\n1028 2952\n4992 7622\n11487 18907\n14345 16981\n16763 19993\n2428 13261\n9141 20153\n7109 16531\n12834 18411\n8020 8608\n7273 9794\n19662 19968\n4153 8851\n1393 17972\n7543 16513\n2303 11527\n145 6655\n3860 8453\n6979 9225\n2521 9099\n9301 17694\n8425 15694\n4244 12926\n3606 20086\n10743 14969\n1796 15058\n5815 11083\n11925 14021\n5348 17612\n7802 13970\n5541 17841\n8654 17821\n11156 16221\n7241 18566\n5074 13471\n12568 20236\n1122 6839\n911 19382\n4374 7864\n14047 15507\n7592 11660\n2270 15611\n14802 16813\n4712 15737\n9228 12392\n6802 15601\n4513 13949\n1894 9982\n10 17160\n5244 13239\n2447 2851\n11410 16269\n3157 14960\n1684 7084\n11657 12070\n8852 14953\n6213 10559\n1078 10129\n9406 11895\n7237 18262\n5295 14324\n8974 11897\n2154 8776\n2284 2619\n12314 15120\n1402 3208\n5707 19639\n4027 12077\n6766 14928\n1655 3938\n8729 13322\n4488 14424\n1272 19828\n9204 15832\n1954 9396\n14856 16390\n3154 14245\n37 11826\n13846 17822\n1094 19335\n10584 19438\n7713 9685\n6686 10358\n5824 7012\n1404 11482\n7731 17439\n12330 13936\n7398 15401\n1831 12679\n1822 14826\n3663 14024\n7699 12384\n13764 20002\n4997 11456\n12933 19300\n16375 17750\n6030 14570\n1621 15705\n5002 9109\n4506 14471\n4651 5176\n6701 18442\n2074 19991\n5613 17540\n13092 15254\n2249 16861\n6048 8641\n6222 8286\n574 3481\n12386 18818\n2705 18171\n10432 15928\n4270 8675\n4073 17621\n1721 12652\n1628 7966\n6983 17489\n7292 18543\n13519 19404\n13879 16818\n8076 13964\n3461 8645\n15857 20104\n1212 8992\n10147 11265\n5795 18137\n2069 11114\n11607 17077\n350 4206\n8543 16934\n13664 15048\n7764 20233\n5180 8496\n8648 11020\n10119 16131\n4798 6614\n4960 15613\n825 16547\n1829 15270\n5345 17093\n13882 16191\n4118 14534\n1464 19508\n7559 13901\n1972 10427\n6499 12123\n2466 6850\n12730 18632\n5190 13069\n5354 9199\n1294 8515\n948 16894\n5775 7733\n14570 16869\n2474 17035\n3623 19467\n3093 14918\n1485 14249\n1010 10857\n3653 8001\n6922 7338\n8648 19890\n1584 17482\n2647 14837\n7912 17455\n2675 7928\n2880 14876\n4361 8485\n83 13760\n9618 12914\n1427 1705\n8978 9995\n16237 19526\n7553 20105\n8494 9179\n9469 13256\n5579 16827\n8326 9908\n580 3837\n14934 18408\n10721 13234\n8574 10719\n9085 16252\n2789 6929\n3494 5609\n13989 14631\n415 11898\n8043 10519\n7288 16719\n4188 7966\n5465 18727\n5612 12515\n14230 17044\n4830 13945\n4983 10488\n1827 5766\n5586 10424\n4717 13729\n6311 17489\n93 10828\n527 13474\n16485 19756\n3879 12372\n4760 15640\n2368 7474\n5972 17972\n4533 15150\n10187 14671\n12074 14276\n1429 11634\n9810 12630\n5614 13264\n5316 18918\n6496 13522\n3785 16934\n7819 9088\n2838 7206\n5901 16144\n16449 19219\n6387 14584\n1394 18994\n5466 19795\n1141 12287\n879 8412\n4556 17453\n8088 12954\n17590 19838\n4480 8547\n1337 14630\n3625 6036\n5438 6578\n17137 19414\n9782 11784\n19371 19597\n1069 2289\n13056 17819\n10035 14624\n11906 15243\n2168 3145\n185 17464\n19342 19441\n18309 19651\n15914 16457\n1503 1850\n14328 19875\n1858 15217\n4587 12483\n15490 15525\n1194 5261\n4426 12463\n14767 18135\n7773 10440\n4097 19832\n6354 9338\n2016 3951\n4203 12154\n256 7004\n4904 9760\n2320 13614\n15499 19519\n1725 3911\n11356 19266\n5777 17246\n1495 11451\n46 15441\n12201 18864\n1065 2201\n16466 17882\n2927 18902\n868 5471\n15464 16869\n203 2201\n2754 5861\n17770 18376\n7994 19945\n4247 10039\n5943 15111\n2956 8485\n2498 17456\n3266 13461\n7715 12699\n4658 11217\n6545 13009\n4379 20211\n2382 10588\n8979 16682\n5057 7017\n9388 17783\n5063 15204\n15522 15973\n6444 13348\n8218 18080\n157 6365\n4986 8818\n3870 8627\n5325 15838\n1707 6342\n1727 10302\n1292 4061\n693 15825\n16577 20041\n11552 12480\n1487 13281\n11454 16435\n9255 15850\n10759 13247\n3600 18852\n2391 15893\n9119 17462\n11499 12311\n8334 10992\n7842 12635\n8873 13140\n2762 11702\n4670 5829\n9250 14995\n11892 12018\n4125 12449\n10664 15962\n6621 16448\n11032 17450\n3065 7090\n7444 10920\n3767 18024\n10344 20204\n2096 16154\n9699 10577\n10372 13015\n14274 17865\n16473 19102\n2841 8683\n8706 13121\n13339 20178\n1562 5028\n7713 15932\n4538 16055\n1262 11583\n245 11902\n5469 15983\n7809 11668\n809 10904\n11455 16855\n11762 20173\n8894 16272\n174 6999\n2714 12085\n5833 14671\n14196 17919\n7186 16022\n4606 20093\n2210 15983\n1876 3257\n3187 11421\n10216 10570\n3014 12939\n6538 7396\n6134 15383\n8546 19883\n801 2243\n8833 15179\n6179 18965\n636 15017\n6265 17219\n1214 14491\n5619 5686\n593 6860\n857 10261\n3909 17711\n617 19830\n14519 15219\n2020 20069\n1879 4877\n9024 16059\n7020 13028\n4443 11624\n16085 18276\n174 13367\n10450 13283\n5719 10810\n11681 13990\n3259 19864\n5011 10518\n10189 16786\n7485 9188\n5938 13533\n4497 9498\n5844 19507\n17868 18860\n6003 18424\n2512 9408\n7518 19391\n4854 8534\n10907 11173\n4036 8149\n2774 16547\n6791 9122\n2765 3163\n8506 16354\n2348 4144\n16962 20230\n5797 15386\n777 7204\n11155 15558\n11888 13573\n3405 4626\n7112 16524\n10428 12409\n3337 4782\n7600 8436\n3001 9272\n9956 15441\n7201 16661\n12444 12653\n2014 17499\n15349 18693\n5096 8938\n578 2359\n1623 7620\n5150 19918\n2613 2709\n1635 17824\n10557 11442\n3899 8035\n11229 18849\n7828 10638\n2579 15533\n6186 11103\n4792 17640\n374 15623\n15764 16969\n11401 18084\n11087 16533\n2426 4075\n5844 13360\n1620 4503\n2210 5484\n276 14110\n10052 13845\n1763 18683\n2704 4776\n744 5769\n2699 5824\n7584 18085\n11691 19119\n4237 18566\n625 12034\n301 18381\n8792 11994\n11511 16577\n10794 10876\n10077 18803\n19105 19321\n2832 6485\n668 12024\n12165 12400\n13690 14830\n5292 7227\n5988 13201\n7320 9770\n613 1166\n18174 18599\n405 9626\n1214 4722\n1463 2991\n14455 16283\n3472 13827\n7770 12117\n7022 17238\n9102 19742\n12000 18188\n1449 17570\n1638 14944\n15070 19230\n1975 13096\n4074 15309\n10128 15945\n3058 14103\n889 10490\n3529 16575\n13831 18764\n518 6392\n1394 14771\n14702 18776\n8155 16886\n9322 11791\n2194 12730\n12363 15531\n10220 12311\n5350 15069\n8136 15936\n8081 19592\n6228 12784\n15968 19034\n2111 12134\n13884 15948\n13630 16715\n12688 18829\n9657 13300\n8798 9390\n895 10224\n1786 3756\n10940 20007\n6116 8387\n1421 4373\n1676 19089\n14018 14923\n926 19997\n5982 14256\n4612 17997\n5000 10716\n6569 11313\n9799 18578\n3402 14617\n3727 17695\n2165 18321\n10661 18651\n1758 12299\n2524 15300\n10855 12913\n2561 5283\n10134 16165\n16709 19072\n9747 10452\n5279 10475\n8912 18783\n7393 14446\n7571 15977\n733 18705\n1177 7686\n12968 18585\n1869 7144\n5553 9099\n56 9146\n11083 19371\n1644 5245\n8141 9656\n9073 15939\n11844 15592\n2593 18313\n6681 15320\n3278 12687\n1514 14893\n2855 15673\n4631 9265\n8509 17761\n8384 18428\n2489 4094\n271 8003\n670 3411\n4168 16550\n3666 6654\n6585 14430\n2827 13618\n3733 17341\n6754 17677\n3293 10887\n4165 5989\n1089 14964\n14808 18176\n1039 1387\n5993 9598\n7356 14404\n12756 13420\n7645 13132\n9454 10291\n14594 17342\n7115 9140\n330 12562\n6544 9476\n6056 6827\n3193 16894\n6473 16799\n3844 19302\n4131 8852\n229 1691\n1849 16580\n11307 15681\n6036 9584\n9822 17413\n11578 14396\n6982 11949\n14049 15258\n6736 9135\n14072 18582\n3431 16866\n1631 10793\n1534 2319\n3648 4957\n5565 9687\n7630 12072\n1507 15913\n5117 16363\n10273 18966\n1832 5490\n6240 16110\n9664 11463\n3316 11765\n2079 18173\n4933 10010\n6208 13123\n2490 13821\n1167 15530\n253 3505\n12097 18118\n17644 18202\n2376 19134\n5796 9511\n12165 17295\n14311 15501\n10533 18649\n4719 20210\n1671 16993\n4380 7493\n6596 16342\n1860 10658\n19341 20027\n13387 19558\n4363 20034\n6316 17372\n15131 18391\n7442 9963\n6192 18128\n3327 17764\n6286 11727\n6101 16500\n12209 17026\n3419 19519\n6375 11909\n5470 8937\n6683 12977\n14596 19598\n3394 5189\n3863 6311\n4378 5614\n10270 12380\n787 5080\n15223 15356\n11953 17308\n9082 10839\n1314 8940\n965 19068\n1760 18268\n114 3258\n9723 9982\n11726 18498\n5028 11084\n884 14632\n2498 19869\n5392 12933\n4877 19991\n2023 3312\n15829 16355\n8773 18836\n2053 13313\n8731 18424\n3627 3819\n1041 14756\n15350 18802\n5545 14267\n3544 6367\n3294 4676\n3343 10082\n274 4671\n1439 18308\n655 14657\n2434 18843\n6700 7333\n10411 16831\n17236 19043\n2977 11348\n8746 9938\n12004 14624\n4120 8535\n1607 14663\n4239 16942\n7815 8737\n6455 18952\n4715 18837\n14067 19965\n7273 15956\n9329 13532\n382 19408\n13969 17933\n7074 7236\n11456 15058\n17453 19882\n3653 14361\n13652 14581\n3063 13638\n8597 16711\n6235 16625\n17794 19687\n3914 16922\n2590 4364\n4234 16774\n1208 11575\n1526 9951\n1210 12583\n11447 15299\n2091 14157\n13508 15669\n5242 7504\n5931 12101\n3800 13126\n16899 17495\n12600 14581\n5766 16522\n6447 9944\n9947 12733\n3672 6034\n10747 16246\n8139 17797\n10982 11404\n6055 18715\n12220 13417\n8182 17619\n12855 16953\n10032 10190\n9410 16797\n1383 15944\n13543 16157\n13680 17537\n10613 14126\n394 15286\n70 3104\n10698 19537\n1509 17522\n2734 7079\n5084 16993\n10457 11363\n2396 3031\n1426 12017\n298 6006\n6468 14064\n10332 17294\n11841 13959\n14244 16822\n3166 15931\n4569 13776\n1069 3344\n4924 9285\n19743 20069\n2950 8754\n11037 11688\n725 1428\n4977 10559\n4219 4431\n2914 13516\n153 9524\n1496 13257\n4784 6150\n1641 15112\n14626 18848\n3907 17263\n8926 11264\n7004 13303\n6060 12337\n494 12375\n1646 5672\n196 11688\n410 14440\n951 14876\n3647 19853\n10165 12469\n2043 2266\n2407 10141\n5526 17749\n1515 12085\n2732 10112\n11008 14121\n9194 19255\n11716 14316\n6212 11984\n1320 18095\n6545 18759\n10100 18113\n3319 4695\n12779 14628\n3984 7821\n13535 19943\n4398 15144\n12979 18682\n3838 9150\n9674 15334\n8166 12738\n7156 10490\n1619 20086\n7558 19718\n9441 14725\n5246 17697\n6200 12340\n3499 11106\n747 14926\n5612 12617\n11756 17848\n11456 12738\n15002 17333\n4031 7410\n4929 7468\n1601 19459\n1404 4842\n7275 17940\n5543 10502\n8814 12306\n3261 10130\n4167 8490\n1811 11925\n17138 18904\n5687 9722\n7603 10512\n1191 16183\n13976 20151\n3439 5307\n7038 15958\n5519 12310\n531 15309\n1996 6310\n5853 12317\n6545 13164\n1321 12855\n764 8883\n4495 13903\n4340 14495\n6248 14765\n1360 16775\n2839 11408\n1836 19094\n6859 7061\n6971 15949\n6204 14502\n4651 5514\n9950 17294\n2202 3089\n12652 19831\n12351 12708\n4828 17864\n5755 17685\n1519 6618\n12047 14388\n13013 15717\n5254 18747\n5444 15819\n1433 7231\n10730 17025\n5434 16715\n12187 12238\n8449 13846\n6838 15571\n18792 20010\n8969 11332\n11479 13005\n16331 19737\n17359 18538\n287 13943\n13180 18731\n521 2499\n6567 18121\n4099 16024\n15569 18044\n2526 10885\n843 9502\n11235 13211\n754 13506\n5329 17569\n3647 19054\n1754 19938\n1344 15037\n3222 3845\n1714 14287\n10399 15306\n18464 19810\n4539 11398\n6317 10366\n10946 20163\n12412 13585\n514 2944\n4282 18191\n3996 7324\n3608 17403\n1996 7089\n12064 15330\n1088 1543\n6269 10312\n12034 18704\n7589 12356\n7220 16227\n4204 9933\n731 19031\n8946 17224\n10392 15044\n2298 3357\n10255 15963\n8009 17872\n8412 13757\n1129 18708\n7337 16785\n18870 19298\n7756 15992\n3329 17345\n11946 15037\n2449 7157\n1077 15684\n7047 15926\n11864 14993\n6491 12965\n752 11313\n2633 11524\n9885 14217\n3972 17402\n9676 12683\n8066 20191\n7307 8477\n9258 16627\n7300 7441\n2845 14866\n8694 10152\n13757 13784\n14209 19401\n1397 2291\n1856 10752\n4560 13349\n6676 13504\n1651 7618\n5035 5355\n4042 18265\n2529 9763\n89 11105\n5712 13713\n9603 17073\n13603 15095\n2087 20209\n929 13924\n7505 14481\n14612 19243\n7895 12843\n9098 15797\n12901 14054\n5593 5683\n2448 14558\n9990 18247\n18363 19901\n1611 19466\n3784 18839\n960 17685\n3401 17891\n16701 18299\n12372 13402\n12948 17695\n2539 10354\n9683 10437\n6902 15368\n12248 14021\n6648 18390\n10351 12119\n11054 13863\n18358 20095\n8329 8688\n572 14916\n9167 9669\n9261 16049\n14799 19485\n9087 16721\n12113 13651\n11545 13998\n9791 10111\n9996 13865\n15284 19913\n10057 14129\n14855 18831\n3827 8083\n14664 19885\n11324 19650\n1043 11783\n2336 8290\n5617 17166\n7743 19458\n1872 8816\n3765 4188\n7770 11457\n17167 18411\n3425 17836\n3659 16296\n1388 18646\n3629 14586\n98 7525\n618 14533\n1197 9128\n6630 11856\n387 10352\n6148 7455\n2674 16838\n1828 10500\n2601 19182\n4403 19066\n2698 18468\n3562 11310\n8976 16091\n1877 11581\n11076 15677\n2433 6374\n725 8645\n61 11518\n6685 8430\n2899 20123\n10636 16245\n1759 15724\n15935 19282\n3779 5923\n7943 9957\n2152 10264\n2904 17223\n15750 18758\n7643 9217\n6142 17604\n16439 19108\n6157 19927\n13655 16396\n15692 15702\n1334 16175\n6191 9879\n3428 7203\n2023 3722\n10856 18534\n1914 5598\n717 7037\n3412 17439\n16307 18190\n3458 7873\n3782 6414\n9319 17393\n307 10581\n811 19622\n5447 5863\n3342 14256\n5424 12349\n5402 5557\n5993 12822\n12346 17229\n13126 18683\n58 14881\n17651 18092\n7252 13256\n1435 9858\n11487 18622\n8096 15898\n8870 9045\n11433 12316\n1261 4108\n4035 17517\n7261 19673\n10542 19919\n14088 16818\n6958 16771\n574 3797\n2649 7336\n2973 5174\n7975 9828\n2307 10113\n5008 18735\n2821 17807\n10111 19782\n6933 10142\n2940 6626\n1310 14700\n7334 11766\n6578 9296\n7004 7490\n5733 11768\n8822 11938\n6214 6874\n6590 11442\n5171 9948\n2673 8503\n2869 7336\n11864 15743\n2105 5983\n9637 12171\n2256 12227\n9038 10760\n5944 17733\n12456 12966\n4900 16687\n898 17925\n8207 15567\n13964 16262\n4071 7577\n1152 14463\n5460 18456\n4347 10189\n8717 9465\n15934 18348\n5644 9728\n8922 16221\n802 18662\n9616 18960\n4643 19320\n3044 15924\n2503 19140\n536 7176\n7212 9928\n11663 16824\n13571 14974\n5866 17799\n13723 17147\n8653 14505\n11893 17366\n7102 19072\n2752 14050\n12804 19656\n1641 9785\n644 4460\n16601 18456\n4981 18027\n2965 11399\n653 16574\n9119 19949\n10124 15072\n2326 2470\n14845 19036\n892 20134\n1152 18460\n3427 19572\n9701 14608\n3929 10643\n18176 19856\n3469 13590\n8997 13308\n901 6006\n4209 6757\n4724 15129\n7925 15736\n188 17123\n13032 13064\n4308 18161\n3163 16743\n7808 17877\n13306 14214\n3717 18937\n5332 12758\n13082 17532\n11762 19682\n13558 18012\n107 16005\n11650 14333\n11276 15801\n2482 16598\n5958 13216\n3674 12126\n16681 16911\n1717 9957\n5005 10145\n1634 3020\n1572 15817\n2484 4104\n12772 15377\n6795 19296\n221 20142\n10597 20042\n12243 18255\n1889 17276\n18010 19843\n8986 12598\n11130 11563\n415 12326\n6869 18682\n10247 17584\n7405 13070\n2428 18631\n2515 8099\n10050 16733\n13424 17704\n406 9855\n8706 10542\n17156 20205\n13854 14261\n8549 9325\n9687 17179\n4446 5236\n20087 20110\n2653 13673\n457 14178\n581 12237\n16434 20269\n2380 3397\n5509 9468\n5287 18192\n5194 10598\n6239 19779\n15414 16738\n4239 9353\n1542 3115\n699 12263\n2578 7926\n9082 12657\n8679 13256\n11130 17931\n3449 17750\n14764 17010\n789 6907\n944 4535\n10590 19500\n18700 20085\n10014 20195\n1863 3430\n5274 16334\n3541 10179\n3121 15778\n12159 13825\n9967 11456\n12285 16116\n6154 8403\n6105 16147\n1176 11575\n9720 14578\n9328 17796\n3076 3682\n6298 17725\n405 18954\n16805 17844\n12616 14098\n9334 19882\n16094 20001\n3984 16582\n11246 12120\n7873 8454\n1294 11467\n11025 13737\n4055 13918\n7259 19491\n7229 10132\n7810 8692\n8994 13266\n11455 12738\n2091 15130\n3802 12785\n3382 8472\n2408 6987\n14539 19304\n14126 19448\n8263 8808\n4829 12661\n16169 18977\n7004 13037\n6775 11734\n14687 15379\n7872 16081\n2586 14018\n5022 9991\n8499 16563\n808 14966\n945 2113\n990 4070\n3587 13624\n6191 16749\n821 16146\n2931 9928\n6134 16926\n6 6262\n3577 12798\n8697 20089\n6419 19855\n856 14751\n2886 8501\n10163 20031\n4551 6590\n5933 19479\n13921 17716\n3551 15529\n7674 12599\n10221 18002\n4794 19325\n3684 7274\n8151 17101\n2604 15814\n4740 13411\n10385 14309\n2683 6646\n10412 19289\n6890 19965\n2519 14360\n13882 13961\n3862 13029\n2228 9014\n5921 20216\n15429 19095\n13318 19582\n2347 11644\n4067 19484\n16290 17708\n4607 9695\n1620 15090\n1568 11727\n9044 19762\n6330 15249\n7976 12137\n7714 15095\n6773 19623\n4159 18096\n12300 19175\n1361 16326\n4012 6620\n232 12741\n6443 9132\n10133 16046\n11044 11050\n2114 14720\n2459 17976\n1208 12938\n2788 3453\n2257 9576\n15522 16402\n3722 6931\n12724 15012\n808 6701\n7838 19045\n12811 17379\n1449 1517\n1671 5967\n455 2982\n240 6150\n18226 19221\n5246 15551\n1694 15211\n12145 16875\n585 5096\n9071 17381\n4688 7212\n8788 19705\n221 16895\n1578 10436\n12521 18861\n619 19205\n3703 3879\n3342 11561\n3243 13039\n8926 16884\n2626 11103\n2997 14084\n7082 7717\n1213 6318\n1277 7129\n1954 4919\n1982 9557\n11499 19245\n5215 9337\n322 2995\n4294 17292\n596 2064\n12709 18527\n44 15804\n5940 8296\n1741 9364\n5617 7047\n10847 13121\n6493 18080\n17941 18881\n2987 5265\n16062 17299\n3774 12742\n15012 18285\n136 633\n2199 16190\n11513 12329\n7578 10211\n11046 15555\n11219 11984\n1737 14808\n12665 15244\n960 6619\n18646 19420\n3286 6546\n7945 15163\n12252 15486\n1416 6091\n5845 13154\n13189 15180\n5123 6827\n16720 17545\n360 17928\n7094 7990\n9119 10695\n830 8800\n14699 17054\n6850 8676\n12297 16075\n6634 8592\n8234 17480\n654 15109\n8474 19425\n2820 15427\n2702 3480\n2477 15362\n1111 4884\n3628 10941\n6795 6919\n3832 13026\n8532 11994\n4506 9091\n6895 16577\n6208 8609\n2317 4143\n5669 8548\n1237 11285\n4575 7428\n5054 14765\n5263 6453\n2939 17266\n14014 14917\n1033 9189\n1449 19786\n1277 6576\n15625 18543\n7237 18985\n14919 16808\n9630 17864\n14397 19226\n6519 10828\n4624 10588\n10224 14074\n1803 16783\n46 9527\n1463 8099\n6311 14124\n6702 10688\n4544 9072\n1753 6482\n6067 16310\n9281 15516\n3440 15034\n19 9530\n10085 14938\n1648 17224\n5992 10310\n13021 19911\n632 8910\n5320 11715\n8745 12619\n6329 11091\n5423 17780\n3127 12518\n1678 2420\n647 3087\n523 8887\n180 4321\n1969 3310\n10035 13731\n718 19716\n6168 18914\n14629 15821\n2121 7191\n1017 14574\n2924 16721\n16787 18264\n8441 9872\n5319 14345\n1225 2251\n6615 19979\n8655 13077\n1812 6870\n4983 6319\n9309 16845\n591 19337\n6801 8364\n8377 10182\n14462 19284\n7360 14371\n1982 12075\n10728 18055\n433 10104\n3647 16113\n4176 5439\n17601 18036\n4649 15957\n1080 16471\n6816 10050\n6131 15473\n1158 16604\n10289 14287\n4850 14277\n4364 8352\n12556 14069\n7568 11405\n902 9868\n10692 17398\n6222 15513\n6168 15655\n2157 17571\n6285 9163\n16340 17985\n8794 9872\n1016 8306\n832 3509\n12149 20274\n1668 4555\n17535 18933\n4839 10525\n3796 19327\n7387 9414\n16926 18628\n7386 18635\n1073 4832\n7022 14140\n1578 13175\n1487 10786\n4398 14330\n7372 16166\n394 3639\n1603 15079\n1440 12050\n3729 18388\n2209 6353\n16773 19899\n344 13153\n9206 10960\n652 17775\n1216 14733\n566 4486\n11912 15959\n1097 13665\n2731 6549\n13119 15979\n1053 9646\n18532 20207\n1252 7614\n3896 17304\n3076 9558\n12514 14257\n4235 9009\n458 8365\n1605 19905\n9845 12943\n10624 17381\n5463 11131\n6124 10368\n4841 7720\n3054 12109\n16431 19543\n1173 11156\n3417 5961\n9269 11872\n10030 19294\n3705 13556\n6584 15666\n1630 2040\n4696 17165\n6072 17073\n2791 6919\n7996 16992\n5807 10458\n5927 8394\n3937 18124\n3610 7556\n350 4852\n4966 14391\n10714 12554\n15954 17798\n568 14728\n239 7650\n2410 12671\n862 8721\n1738 19338\n12627 16403\n5304 13614\n12891 13287\n6170 19144\n12512 18778\n7609 17256\n6191 15988\n2161 10152\n7062 18206\n1362 2910\n14539 16088\n4651 11354\n4803 11086\n8290 17001\n5514 7467\n6006 6863\n11741 19612\n11860 16109\n3157 4569\n12389 13831\n11949 12087\n13655 13750\n10371 15177\n2359 3299\n2367 4513\n2729 11139\n11151 13320\n3937 6756\n6177 13784\n8251 9857\n434 1794\n2136 20022\n3046 16853\n4414 11240\n2246 5853\n12622 13040\n10423 13679\n14694 16961\n12216 12796\n6824 12750\n10283 18586\n8489 14313\n677 6960\n13720 13838\n381 3396\n12795 13288\n1815 11696\n5019 14189\n16966 19499\n1171 18547\n2744 18978\n12592 13221\n8098 10045\n6697 11479\n730 4178\n10269 16220\n2050 16115\n2271 8616\n10960 12228\n3088 6246\n9157 16033\n11723 18978\n5706 19232\n9974 12829\n6935 13254\n11241 14905\n7637 14889\n6727 7126\n3465 14444\n7706 19426\n4846 5745\n2360 16315\n5147 10039\n15633 17738\n1716 18356\n5358 12593\n8520 17701\n6057 6360\n10398 19570\n1720 11190\n1186 11900\n1764 9436\n8120 15486\n7471 20116\n1733 19148\n454 6641\n7077 12464\n13663 19511\n13823 18628\n1079 17103\n4697 18170\n11406 19426\n2760 17447\n8034 13609\n4969 14781\n4446 18572\n4777 6066\n3260 10228\n6516 12369\n6631 16372\n8758 19093\n5267 14210\n7 630\n12910 13740\n11757 17328\n15955 15992\n14395 14731\n1803 3291\n11565 13817\n1549 2285\n3551 4456\n6139 11337\n13693 14367\n4551 13334\n1024 5849\n16601 20024\n14008 17038\n16232 17934\n3080 9995\n9967 17138\n9441 11704\n7481 12732\n7004 13530\n10283 10746\n870 9954\n172 15081\n2049 7583\n3290 18930\n4784 16740\n10375 17546\n2222 9474\n7371 7628\n5392 16640\n2311 6219\n2235 19416\n4880 20011\n8910 11877\n5863 13955\n3193 5693\n1554 3090\n8273 17856\n5808 20222\n2813 19509\n6987 12856\n11449 15381\n4729 19212\n7474 8595\n2949 15739\n8865 17261\n1667 4029\n126 5272\n6442 13610\n9583 17743\n2478 18721\n4698 20000\n2748 16429\n11471 16130\n9518 14340\n2597 8592\n2238 16621\n11353 16836\n8061 9733\n17265 17808\n2643 17005\n1121 2051\n6385 11065\n17543 17862\n5268 19778\n17358 18049\n1488 11196\n2702 12799\n6743 6749\n4641 7383\n10612 19871\n1969 15064\n12838 13771\n1287 3633\n15519 20217\n2465 2853\n8365 11538\n2491 16021\n226 13168\n6438 11796\n2924 18072\n16688 17967\n5209 19493\n15757 17607\n7629 18016\n1193 5536\n10254 19145\n14122 19659\n1952 3009\n857 2493\n8466 16344\n3860 7812\n12748 14420\n1328 17237\n15141 15938\n3686 19458\n8655 11766\n10044 14698\n3529 3545\n12496 13549\n1581 3350\n167 9471\n15955 17533\n7687 14527\n5932 17398\n15995 20064\n11283 18999\n13814 15441\n309 14548\n3800 12850\n7026 8560\n6054 8924\n9882 18869\n2460 8093\n1474 4176\n4266 13276\n13797 13877\n18091 18295\n2456 10296\n3142 19891\n3529 19707\n7011 16977\n1744 14001\n1281 10191\n15256 17404\n3442 11383\n5504 15464\n5431 14334\n7891 16694\n9111 14016\n463 2830\n150 3798\n1987 15441\n4880 20284\n15178 18277\n8264 9569\n17643 19911\n979 19526\n98 5392\n7282 11924\n5418 10668\n16234 16404\n6788 20261\n7446 11554\n13107 18940\n11460 18920\n559 13752\n417 7183\n776 6652\n4768 10235\n7609 19871\n1492 19500\n4400 20198\n14800 18069\n9321 13180\n716 8948\n1069 17040\n2236 14757\n3050 8997\n12554 15293\n12060 19457\n16302 19930\n7897 10435\n913 1599\n7977 14927\n13623 15686\n15364 18595\n7196 17552\n2939 12369\n4888 7238\n4456 9918\n2913 12047\n13651 18688\n5349 5571\n10384 16119\n12165 13208\n18113 19947\n2144 13175\n8037 10630\n3193 8657\n14780 18600\n6903 8950\n6792 15883\n7307 7463\n2519 5357\n3845 19774\n3693 12915\n5263 11199\n16186 16517\n11003 19356\n4368 9125\n14017 17931\n7776 16043\n6679 15701\n522 18499\n669 2916\n10700 15010\n5667 17124\n14022 16800\n11923 12001\n7095 9573\n1508 17922\n1162 10744\n4611 9769\n4511 9044\n10983 12569\n3407 18010\n4144 17738\n2461 14696\n17365 19709\n5137 13697\n1247 5748\n2445 8955\n1967 12334\n2362 11410\n11076 12883\n1034 15979\n7908 13574\n3092 18761\n9053 13247\n7642 12842\n702 3895\n4952 19903\n11279 13892\n5464 18139\n1538 17316\n274 4430\n10523 14312\n2787 14556\n5239 14603\n2585 13642\n3919 6753\n6201 11159\n3910 18536\n6343 15803\n14240 16132\n2763 18750\n5546 14592\n6899 11561\n9803 16178\n8343 15257\n1372 2232\n13017 13334\n2630 19383\n3092 20199\n981 1851\n7300 19756\n1769 15137\n15348 18782\n7462 18951\n11581 19983\n3258 6132\n3177 9310\n6093 12183\n17419 19869\n2108 11893\n5484 8185\n16518 17219\n1238 15363\n6225 15989\n9761 12927\n14449 14806\n2081 10905\n6739 9127\n5499 9644\n6925 7367\n4919 5097\n915 960\n12693 13547\n4427 17176\n10449 11805\n15658 20087\n1775 14313\n15546 15594\n8547 15568\n1344 5929\n391 6616\n5771 9465\n3931 19222\n3863 12966\n5167 5811\n17518 19335\n8449 11362\n13708 15075\n4897 8001\n10614 12400\n2859 18558\n8635 17752\n303 16105\n689 15117\n8900 17123\n2963 18110\n667 15038\n3919 13301\n14153 19680\n701 13407\n13172 14187\n10146 13586\n6814 10324\n10424 11008\n12424 14399\n5843 20118\n267 12991\n4658 16114\n2021 8384\n6560 17156\n579 16087\n5530 9068\n8769 10880\n2113 17014\n1023 8500\n3259 17028\n1798 13022\n14152 17798\n5913 14857\n1009 17763\n783 17115\n4269 17020\n15218 19458\n5516 17338\n8800 20044\n4653 6469\n741 2845\n969 6457\n17638 19282\n6510 8785\n3545 4559\n1541 15858\n3176 6833\n12945 18620\n8031 20016\n16274 18453\n6391 13427\n1606 16846\n10725 18565\n15496 16154\n1738 5329\n16245 19221\n15255 17107\n810 18330\n10395 19727\n15659 15797\n7001 18121\n2785 6074\n2175 11642\n4316 20052\n2196 16155\n9939 15350\n16183 18743\n8262 10165\n6679 8577\n8180 18281\n2773 9838\n3132 12360\n8588 15285\n2545 16842\n5299 18684\n5583 14191\n5622 19623\n1707 13950\n2376 10518\n12071 14316\n4728 7257\n909 7459\n6232 18276\n4233 12533\n7478 15927\n8021 12550\n15695 19801\n10516 15635\n3695 5426\n3486 16012\n7925 12754\n2414 4212\n1941 11026\n347 19658\n2755 11465\n2193 16374\n17458 18700\n4275 5859\n6952 16508\n11401 15312\n9058 13491\n4747 16194\n4783 7644\n6082 7775\n4156 8758\n4166 19975\n5342 8527\n1052 6838\n1803 9756\n4686 12612\n14180 15764\n12945 20052\n2256 12115\n14904 18908\n6794 10319\n12283 19942\n16745 19223\n11792 19123\n5466 7594\n113 14899\n6705 9949\n3039 14884\n3361 9045\n3331 12668\n11962 19940\n4485 6222\n6700 11999\n11771 15450\n17011 20229\n3577 15642\n4296 18032\n9324 20172\n2564 14710\n5076 20134\n2704 19916\n12877 20048\n10677 12771\n2038 6426\n4291 5564\n2833 4895\n1829 2721\n5742 14493\n8049 18531\n3589 19914\n741 19377\n14706 16682\n16427 19492\n13996 15484\n2020 6897\n9043 15005\n12871 15260\n6843 17436\n2031 18340\n13579 16494\n12035 16980\n7876 18036\n7371 10175\n746 14058\n3037 3391\n8118 9383\n5216 18925\n459 8280\n5427 6368\n4364 15546\n29 12314\n9788 13111\n9541 16715\n2820 12813\n8915 18314\n4276 11881\n5347 12330\n3349 14038\n493 16390\n3909 10870\n9979 11637\n3368 12938\n10817 11144\n12917 13399\n8677 17957\n9202 15521\n9401 14467\n3161 9046\n4749 12375\n18307 18870\n18110 19205\n16422 19618\n11972 15236\n1955 11021\n5170 15206\n5572 20058\n6078 14733\n2321 7067\n13261 14285\n10903 16643\n6032 6631\n4359 18395\n8816 9590\n17737 18065\n1126 17056\n8126 10088\n1388 11913\n10356 12681\n8205 18482\n5980 6712\n15124 18391\n8327 13334\n3708 8431\n2037 20005\n669 5999\n7381 11801\n467 13015\n4865 8970\n15618 18821\n1310 7732\n2807 15914\n3550 11250\n8334 9205\n17627 17744\n19412 20158\n6074 12638\n7583 10552\n12201 16190\n3698 3966\n4949 5740\n13790 15513\n17545 18949\n2988 11440\n9729 19939\n9020 10465\n3874 12357\n6277 13473\n9900 16993\n10852 16562\n6000 16950\n1645 19143\n3281 6486\n9148 18285\n3197 19316\n1497 9920\n7949 19470\n8537 16084\n3349 9851\n6792 17320\n6808 14106\n7625 14488\n2956 5807\n277 9254\n19311 20092\n12552 17718\n17653 18718\n3674 16183\n2170 18796\n12249 17074\n4514 7488\n185 8977\n1703 15063\n4224 4453\n1042 4880\n3506 12860\n2316 16283\n9240 20057\n9715 16143\n11710 18079\n9643 16378\n4891 14621\n4603 9401\n8829 11858\n14443 18835\n14054 15281\n17540 19337\n3350 5308\n10612 15431\n231 8720\n10433 12943\n1852 4455\n11596 17149\n1759 6473\n2585 9580\n13573 19551\n3669 8816\n7437 12355\n2428 6131\n6229 9884\n1755 6694\n7003 11794\n15085 18372\n4472 14708\n1507 1637\n8189 10813\n6524 7975\n11173 15827\n6793 7475\n4883 7177\n1181 2151\n5036 5058\n3565 11716\n3322 7617\n2144 15982\n10295 16446\n749 14817\n14265 14500\n3777 14809\n15658 15925\n5252 9630\n16374 19085\n1746 2759\n6899 19944\n448 918\n1695 8100\n14923 15418\n5488 8835\n9848 10150\n4311 17796\n10139 12316\n6729 17937\n7041 8928\n9289 13016\n18158 19997\n1924 19110\n2969 7425\n7286 19700\n10216 10312\n478 3261\n6532 9424\n2027 20095\n13817 17201\n414 17317\n3068 6914\n14706 19123\n2623 3867\n8107 9819\n9226 19359\n13286 18502\n8272 10258\n1999 4725\n1811 18559\n4755 17872\n10885 14636\n3270 6073\n534 12822\n11321 18337\n462 10462\n10943 19163\n14713 18207\n2557 11447\n4143 18260\n459 3205\n62 11361\n4707 9284\n13443 19480\n4404 11224\n1065 5515\n8513 12220\n10453 11523\n4560 9951\n7292 15449\n17825 18905\n7426 15786\n10085 12801\n2989 14211\n800 11509\n3774 10130\n1816 2506\n14005 16093\n5188 16673\n4081 19490\n4417 11876\n8591 12588\n10059 18822\n16559 17858\n8398 20283\n813 1135\n16838 18140\n825 14406\n382 9632\n2445 9177\n7093 17242\n4211 12007\n10380 18265\n7286 9549\n10367 20175\n7129 16055\n14821 15579\n1399 7477\n12246 19962\n9694 17357\n8582 10820\n8910 19399\n891 19362\n8167 18365\n16133 16200\n5961 12036\n3061 14915\n4327 14857\n10504 12455\n6003 6399\n4817 12120\n7876 8733\n8788 19381\n8839 19391\n362 5453\n1981 3667\n4678 10272\n6461 19674\n6507 13970\n12941 16058\n3198 11172\n14333 17292\n4682 17599\n10362 12354\n1415 16366\n13682 19378\n1797 10099\n6221 13413\n2763 15445\n13876 16660\n13618 14953\n8595 12171\n357 7721\n9276 12943\n4349 6267\n745 2440\n14848 16997\n12505 18567\n8168 12458\n14488 18301\n2744 3260\n12299 19066\n3129 17405\n778 11872\n8099 16472\n4365 11514\n2798 17976\n5617 16863\n9059 15775\n11056 17193\n15209 17951\n4928 20217\n7434 8291\n15668 15787\n1505 11901\n6569 14006\n5322 18891\n324 9352\n13578 17394\n13366 16476\n10885 14661\n13699 14711\n9337 19990\n4747 9866\n11023 12114\n18827 20156\n5769 16334\n7031 14195\n18079 19626\n5403 11846\n2338 7910\n5614 12460\n4055 8101\n3686 7027\n7456 15539\n760 1097\n5590 11630\n16422 17785\n354 11574\n7946 9558\n3472 7340\n6638 14415\n2350 4216\n3174 6480\n3658 17960\n5740 18852\n4822 5589\n500 15044\n8083 14934\n12300 19719\n13585 14211\n10849 11369\n361 11170\n5847 7218\n9258 20048\n6347 17227\n15554 19237\n2545 14249\n5875 14276\n12427 19233\n2784 3691\n6714 19520\n15299 18571\n4857 13862\n4608 16487\n1931 19064\n15818 20165\n4364 11196\n6730 9914\n10926 11459\n5384 16761\n9720 19320\n7883 13793\n3019 6708\n3275 8690\n11475 16738\n8112 12482\n2997 13261\n10769 16136\n2771 9367\n12210 14859\n8553 12157\n10245 17708\n7403 16244\n5266 16580\n4651 6538\n3093 20224\n12551 14235\n4843 11957\n1272 10147\n1049 17528\n2381 13556\n13928 16373\n445 11412\n9741 13406\n7221 11527\n9187 17327\n980 19653\n9773 17344\n13311 15974\n2197 17376\n4575 12258\n10974 11974\n5083 11385\n4220 6123\n6168 7021\n5970 17931\n3399 17707\n7397 8326\n14953 15823\n11754 14605\n6827 14813\n9636 19305\n6143 17487\n18782 19077\n3004 17847\n4806 19026\n6442 15865\n10114 18231\n2274 11496\n9215 18223\n5937 15683\n1309 18033\n3612 9764\n428 10758\n6389 10294\n4991 5110\n7644 15869\n6249 11972\n17629 18370\n993 4681\n3702 11842\n9156 15701\n593 11573\n5742 15224\n4561 11765\n1015 11912\n11686 15176\n1411 14894\n12692 18100\n3001 10691\n14355 15912\n6171 8440\n3767 15705\n3120 3924\n9809 19635\n11361 18823\n9241 9768\n4270 10441\n2914 5886\n3302 13704\n3191 6425\n8894 17940\n8404 13496\n1980 6249\n8117 10260\n8850 17154\n990 1615\n1547 15575\n11731 14497\n6588 17301\n5063 18887\n6148 18200\n2406 16722\n11240 16425\n6261 15009\n6061 6909\n1959 18555\n5688 7876\n9727 18405\n6049 8297\n9883 13700\n11245 19134\n334 3104\n1526 9509\n3826 11886\n8039 17322\n3278 13331\n17611 20223\n1077 15177\n3025 15970\n5175 11880\n6122 13950\n14979 19324\n6170 7411\n14379 18481\n2906 19245\n7325 17273\n4891 17684\n3577 16253\n9592 18487\n1544 4751\n3011 12201\n6387 12238\n6444 19270\n3546 19849\n4381 10011\n3486 6090\n1764 15772\n15244 17645\n10852 16528\n11251 18012\n8238 10066\n8900 16901\n7195 15438\n2427 2896\n10115 14172\n17804 18601\n1821 5255\n13794 18929\n7238 16339\n664 8042\n593 17600\n1054 11704\n1977 10936\n10811 13968\n874 16619\n11028 18995\n3519 4660\n4430 14057\n4260 12796\n7288 17967\n509 15194\n5255 16489\n8053 9869\n3914 14967\n1107 12906\n11366 11367\n3359 13802\n4864 15068\n9280 11039\n3740 8824\n895 2393\n2219 9276\n9088 18419\n48 7091\n2982 8384\n3068 5364\n1154 10860\n7076 8973\n15408 19568\n11259 19880\n10211 16153\n417 639\n10215 11775\n4127 6587\n5965 8062\n90 1456\n10624 12657\n4428 8945\n10721 10871\n12574 16537\n15006 15860\n5667 14173\n14108 19971\n2872 5149\n13744 15023\n30 11612\n13328 15173\n14410 14505\n9340 18622\n7655 12612\n12854 17293\n4907 5769\n3635 3859\n1885 9371\n7424 13106\n1741 4376\n12734 16819\n1799 8263\n3396 18820\n1668 14782\n13104 15688\n2452 15440\n1086 5277\n15674 16263\n10434 15220\n7161 19576\n320 9175\n255 854\n6754 12393\n12707 13427\n3136 13496\n7906 15838\n10336 16728\n3875 19829\n2812 11513\n10549 18776\n14354 20110\n10757 14065\n8066 16011\n6630 8740\n10707 11144\n1674 12357\n3215 8833\n12992 18690\n17364 20013\n1426 13128\n5388 12246\n1637 18931\n341 8763\n6645 16661\n2465 11329\n5046 7692\n279 16225\n1469 12296\n6266 13920\n3300 13394\n2074 4327\n718 12271\n673 9025\n12777 20285\n4599 8608\n9429 12469\n8398 18760\n5512 11561\n17667 19245\n12462 16187\n869 10805\n10583 19337\n3025 18824\n376 3305\n7886 17077\n14719 17993\n4894 12100\n10876 18356\n7358 15569\n1843 17287\n9405 14357\n17164 19016\n975 4381\n10548 18224\n16805 18854\n8373 9518\n10797 12312\n3528 15742\n16723 18082\n1882 7878\n4498 4784\n3020 12850\n1103 1578\n1463 5648\n4183 18580\n4372 9075\n12038 19478\n8940 14140\n1013 6752\n3343 16385\n1393 13938\n11786 19904\n11283 11478\n14926 17467\n16452 18049\n12422 15813\n1327 10100\n14666 15748\n6403 10547\n4751 16506\n12531 13502\n9623 11176\n2463 13600\n3312 12358\n12508 19797\n11378 18268\n15784 19292\n15893 18051\n2469 16993\n6656 19630\n11352 12124\n17989 18984\n7044 16194\n3037 6529\n3146 11886\n8223 11578\n2893 10776\n16286 16768\n6432 7976\n10969 13879\n7102 12132\n14145 16429\n9890 15292\n3472 3900\n2756 17654\n2659 16040\n7110 8015\n11904 17380\n5223 5571\n490 18309\n9649 16677\n2636 6063\n9566 13614\n2443 19018\n13392 17940\n12240 20148\n12440 14481\n5188 16212\n13636 14393\n12604 14443\n18082 20258\n5943 10376\n14699 16776\n1585 7576\n5862 18061\n6687 16161\n4197 5568\n13489 13879\n1240 11459\n7178 13168\n4846 17414\n10318 16591\n3478 8251\n18415 19941\n376 3695\n651 13827\n2719 14745\n1622 2257\n2266 9330\n7406 14323\n9806 9853\n584 19151\n1546 5973\n15097 18716\n675 6103\n361 9901\n6558 17347\n494 16921\n8889 11395\n94 354\n4137 14147\n2021 18973\n2494 8242\n7292 20256\n7449 16653\n7058 14168\n17181 19919\n9401 18823\n14239 15803\n514 2390\n6149 12127\n1354 6489\n924 7228\n1330 13244\n942 16735\n4650 15222\n3699 4182\n6297 8823\n17026 18494\n9047 19855\n12970 19946\n12387 14624\n12194 13433\n779 2869\n696 15576\n18715 19065\n15088 16771\n18317 19905\n3488 5019\n5379 13928\n514 2549\n2017 13472\n2829 12616\n10214 12609\n11273 16784\n4724 19203\n7928 13520\n1366 6569\n8840 11468\n6216 17618\n8675 9912\n6473 7187\n14180 15253\n12808 18085\n12577 15659\n4457 8666\n1384 5383\n15858 20255\n1486 14985\n8606 16431\n1931 10227\n3528 5231\n3364 18214\n10077 10959\n10978 17268\n8467 8937\n7920 14603\n3566 15559\n9944 16978\n11142 11704\n2174 3924\n5940 12704\n1183 17903\n16679 18894\n849 17721\n7322 16729\n15892 17392\n1081 16208\n6313 12064\n4923 15169\n11924 13917\n11120 15243\n13629 17079\n2376 4490\n682 9670\n17168 18748\n6737 19510\n3427 9188\n4709 16144\n4024 4423\n2370 12884\n13208 16139\n11336 18392\n4681 6661\n6386 8618\n4277 14068\n1226 15011\n8207 16260\n7656 11261\n3151 4438\n11602 17990\n1046 12768\n1703 18009\n1700 3864\n10011 16293\n1504 3170\n193 1607\n17373 19048\n4805 7937\n16105 17031\n72 17291\n4356 9917\n6142 16241\n15769 17356\n5854 9934\n17466 17678\n3545 3690\n14455 15752\n15952 16243\n17516 18346\n11083 17692\n11021 14513\n6162 12147\n974 10355\n16204 17201\n4787 8254\n8784 13417\n11815 17684\n8192 14548\n7927 14396\n4385 11131\n1221 2649\n14699 18045\n7664 19679\n2481 6041\n889 17194\n4374 6471\n2322 19192\n4667 19767\n5012 9542\n7443 13893\n1684 14024\n3166 9525\n2655 5545\n9404 13737\n8803 10194\n2826 4652\n1113 12468\n7601 19757\n11825 16142\n6262 19905\n5756 19909\n3121 16423\n14018 18199\n9434 14489\n1878 10175\n2342 11288\n3577 19910\n8901 13857\n8215 18495\n5556 15935\n4125 20035\n1352 12454\n16383 17121\n7940 14282\n12133 13619\n9845 11965\n1117 9697\n3424 19963\n11068 19022\n12455 20017\n9369 18959\n2641 13684\n5070 7855\n1833 16040\n12610 17415\n6031 15647\n3933 12621\n7616 17030\n4404 15564\n2100 9482\n6849 10893\n13834 18977\n2911 4818\n8738 16958\n16489 19423\n2735 4413\n579 5105\n513 9013\n4773 11594\n5 6514\n7774 16413\n13236 16388\n2455 7742\n1834 14168\n5131 7165\n13355 15123\n14361 18623\n10781 14004\n2918 16162\n9535 19677\n3246 6380\n1891 9687\n7 10119\n2868 8336\n14903 17451\n3098 4101\n753 14647\n7571 8215\n7209 13204\n4121 8722\n6785 15851\n6509 11983\n339 19866\n5390 13402\n16810 17826\n15709 18888\n4285 13262\n7257 10771\n3458 18753\n15238 15885\n8380 11769\n1125 12892\n15958 19040\n1230 2925\n13543 19953\n2240 16177\n3766 20060\n5704 8800\n177 19687\n15129 15691\n12645 15282\n15579 17535\n6683 14363\n1997 17093\n3141 12751\n6049 19595\n7666 18400\n8958 19422\n762 19440\n12581 18393\n2586 16976\n8021 10213\n2985 15322\n714 11397\n5857 5895\n12901 19582\n1454 8473\n1713 10335\n5827 10792\n4272 17020\n4035 13025\n14180 18985\n7190 18877\n4540 12191\n12293 18892\n1832 6113\n6148 12409\n14048 19329\n1230 12893\n3616 4112\n7096 19292\n16515 20069\n14358 16418\n2775 17658\n8209 10694\n10803 18300\n11781 19900\n1008 8980\n5466 10675\n2923 15135\n10313 12177\n1041 9140\n4488 4557\n1833 6648\n5285 15501\n2400 18637\n3995 7952\n1668 7639\n114 9693\n2337 7239\n2391 15396\n6744 8390\n3635 9613\n2936 11300\n12376 18337\n2387 13686\n12410 15408\n4305 6077\n4527 9288\n18210 19974\n11300 12080\n18777 18838\n4938 11133\n5729 5898\n8469 19823\n5985 16007\n6404 16813\n733 19830\n8716 9942\n1650 15991\n2153 10190\n8341 8366\n7852 14803\n10615 18000\n7897 9617\n7262 7810\n6188 12874\n9511 10663\n9976 12124\n10458 15694\n15812 18173\n811 7874\n2128 15389\n8568 18095\n15532 18323\n3236 13084\n6011 17743\n14418 17318\n1353 2154\n8094 11945\n2652 8023\n4553 9529\n4555 11414\n4508 12272\n4866 17817\n7321 10265\n4977 15744\n207 17326\n11904 12657\n6391 10410\n5198 13324\n14718 18761\n3936 10693\n9403 15898\n10248 18888\n35 11919\n1430 2098\n11400 18476\n374 9270\n9788 13906\n7674 9732\n11254 16950\n11129 19060\n6059 16802\n14749 17709\n10548 16008\n11037 19425\n1592 11109\n229 6697\n11712 15027\n2723 6058\n2783 15563\n4632 11205\n2881 5894\n5439 7463\n9801 15961\n10062 12355\n635 18019\n15475 19148\n1806 13398\n210 6833\n10926 12653\n3345 7280\n6998 8751\n2747 13490\n506 8157\n3361 15172\n976 4292\n3496 19427\n10939 12713\n4966 13721\n8755 10549\n10388 11284\n5666 18051\n15275 15626\n4816 11742\n16179 17371\n11718 18035\n7934 12023\n16336 16591\n9123 17569\n13562 14675\n8473 13979\n2101 13796\n5477 18235\n134 20195\n10778 11400\n16379 16802\n2250 12366\n175 11993\n8353 8689\n16000 16475\n9814 19737\n1738 16578\n4829 16231\n3934 6242\n4619 13458\n16904 19548\n12375 18977\n7594 12799\n4227 18137\n10309 17855\n2536 11333\n14429 14966\n19358 19440\n1652 6453\n19384 19887\n731 16096\n5037 9111\n4952 12143\n1870 18473\n13039 14310\n775 2063\n9149 14994\n16702 19254\n15537 15979\n2877 15182\n2291 7260\n9230 18075\n8534 15704\n4330 14846\n825 14814\n10679 16941\n9739 19661\n3117 3320\n1881 5744\n8131 11189\n534 12711\n7331 15568\n5733 8547\n6812 7837\n2084 7677\n2661 13540\n9097 15130\n7486 18471\n9643 10144\n9130 20268\n6683 17427\n15608 16244\n1227 9910\n12648 14747\n5781 12971\n4575 14836\n2356 3769\n13435 16130\n1393 10962\n5182 18332\n755 9022\n1880 9149\n5291 8309\n17610 18338\n3937 11058\n2520 19373\n1060 1711\n202 11687\n8119 10561\n12362 15542\n10989 14315\n186 17762\n7910 18105\n16357 19046\n14586 19583\n13783 18671\n6729 15558\n8946 10229\n905 3976\n1421 8447\n11322 17757\n9147 10525\n12905 18825\n11519 20001\n5963 16638\n8388 11494\n1611 3644\n5717 12955\n8962 14538\n11978 16444\n14533 18148\n393 7061\n7485 10369\n5826 14523\n1003 15936\n4942 19964\n12769 19510\n7888 13017\n5966 14114\n16796 19342\n3969 6828\n71 8068\n5924 12700\n9 11475\n4469 13583\n9983 17425\n3298 5660\n6935 13239\n10745 11505\n11956 12773\n16553 18477\n5346 19185\n530 11153\n17193 19368\n7779 19843\n5259 8359\n11152 12659\n1170 17213\n1550 10994\n1424 18138\n13379 14462\n9002 9569\n13060 17039\n12952 13355\n261 18143\n3782 11353\n5140 18430\n3458 10924\n1972 6110\n4681 10094\n13948 15624\n6012 19857\n6458 19908\n69 7884\n882 9858\n1528 8179\n383 17048\n534 1465\n3951 19536\n13528 19163\n14626 18747\n13634 18758\n1197 14571\n2435 11928\n3551 9916\n13470 19425\n4582 18223\n14435 18776\n4486 15667\n1686 19060\n3293 12430\n11927 15423\n13031 14569\n4894 10916\n18344 20174\n5517 14918\n17969 18746\n6098 9769\n9679 20113\n9907 13895\n8713 12960\n9256 19028\n528 12349\n11442 14210\n581 15732\n14120 17114\n571 18494\n16 14344\n5310 17069\n8008 11055\n8038 11306\n1129 9882\n8416 12976\n1045 9916\n3180 12399\n402 15306\n2252 19901\n14136 16290\n5720 14760\n6390 19285\n17208 19089\n8547 19692\n13162 19353\n569 1447\n15208 19033\n12740 18181\n5097 12591\n8613 12231\n13727 17673\n10595 20201\n2239 13958\n3221 15189\n5168 18274\n6591 8735\n2587 6146\n609 20208\n909 7646\n7883 16461\n9700 18287\n16402 17602\n16547 17943\n12213 15000\n11490 18090\n2250 2733\n1067 7017\n1234 13255\n10295 18956\n4846 5799\n6968 11330\n466 18716\n15975 16354\n2260 9773\n13703 19078\n776 10210\n1557 9083\n925 14523\n7689 10805\n9018 13612\n1314 14629\n7705 11480\n7548 13046\n9346 14408\n18763 19065\n2431 18676\n1623 13906\n6895 13838\n14436 19667\n14584 16217\n6746 8597\n10566 10756\n2930 3483\n6019 18652\n5512 17951\n11718 16448\n2508 2827\n17995 18631\n4607 4871\n4211 17468\n1706 12059\n11001 13828\n7086 8773\n1622 13183\n6281 10117\n732 5041\n4503 11341\n840 19715\n6773 18589\n535 19476\n14862 18657\n11274 15813\n13727 20259\n591 6163\n7740 10550\n6798 10208\n17710 19289\n2315 8829\n4742 9663\n8913 14932\n3991 12833\n6592 12230\n10484 19946\n1475 16128\n8305 9006\n1180 3803\n5933 11078\n18 9590\n8083 18907\n12441 16531\n13672 18101\n11144 16915\n10563 18779\n5019 12953\n14995 18465\n11342 19522\n4890 11587\n1562 6364\n17052 18694\n9685 10955\n863 7339\n2651 4637\n4385 13954\n199 17018\n6235 18799\n7023 18133\n16357 18737\n687 13142\n7722 16189\n13136 15055\n4780 13125\n6899 13683\n2713 14049\n4250 18337\n6050 18064\n1065 3001\n11016 16190\n4421 16076\n2538 19480\n12334 17075\n35 18542\n392 7830\n1326 10420\n250 19189\n7069 14587\n15433 18520\n12561 18405\n1628 12108\n9933 15266\n6347 16169\n1866 17272\n12355 18566\n13387 16797\n9147 11836\n3158 16249\n16490 18437\n10982 18117\n2438 9896\n13680 16959\n1771 11278\n10083 13700\n6618 13068\n2507 11844\n11494 19586\n3586 20039\n12021 14338\n11703 13683\n677 17705\n978 13136\n14434 17683\n582 18583\n7776 10050\n9645 12037\n5966 14156\n6897 11595\n8480 14970\n1005 10529\n5685 9580\n522 4600\n13011 17459\n10123 17396\n14944 20243\n12953 18103\n992 14201\n997 7019\n8165 9875\n16862 17024\n10331 16795\n8922 10446\n6245 12027\n7775 9180\n1485 2137\n2950 7475\n1914 10904\n1490 11932\n3584 5320\n2875 10507\n15231 19621\n6358 10242\n3729 19524\n5465 15470\n667 12164\n793 8681\n8155 10316\n1216 19521\n10967 12980\n8012 15577\n8341 10844\n10405 14825\n5327 10449\n6994 11625\n3658 17944\n12398 13687\n14307 19358\n8 8783\n1200 1577\n6642 17436\n7761 15359\n1690 14653\n4547 14176\n3115 6049\n8370 19031\n12400 16246\n16133 17478\n4022 11167\n15609 18460\n4104 7812\n5229 17010\n19039 20251\n6269 13503\n2969 3865\n6034 10573\n4612 6378\n2501 8895\n10210 13334\n4570 7482\n2999 14726\n8538 13942\n14036 16625\n4702 11361\n12762 15559\n16426 16979\n973 11068\n7273 17552\n1148 18093\n3580 13571\n1531 2848\n6923 14554\n4954 10565\n16938 18119\n5415 8401\n13554 19667\n9322 11748\n221 4676\n5503 18724\n2463 10960\n1420 7148\n9940 10206\n4120 14632\n6124 14090\n17036 19114\n510 15983\n5406 11052\n11537 11799\n7164 20142\n5227 6965\n7621 15009\n690 4707\n9589 18706\n8421 18614\n137 9047\n6338 18421\n14763 17033\n1052 1504\n13617 19914\n9366 16470\n4827 14114\n3613 10617\n8197 8557\n505 19417\n15049 16518\n15922 18294\n7322 17033\n12121 19363\n10305 11393\n7791 18675\n9110 14630\n4465 10020\n5398 6103\n6418 7631\n12476 19550\n203 18962\n6724 8885\n6391 18992\n3993 12922\n867 12046\n2412 11411\n519 1596\n2371 4196\n1319 6602\n1538 14675\n718 18940\n3332 6714\n1762 9311\n8583 15983\n17506 19518\n8548 15110\n9533 16087\n11439 11800\n2036 12248\n942 5148\n8099 16716\n4719 20038\n3194 16493\n5138 10177\n2984 18053\n1471 12244\n3057 3203\n3521 13119\n251 4406\n1889 19628\n134 14850\n9535 14398\n7332 12827\n8889 19091\n13867 15363\n5731 16478\n1932 15355\n2572 10016\n5533 20099\n189 15662\n10296 15803\n130 18911\n4062 15115\n499 8051\n3354 7012\n12257 16839\n1590 8952\n3385 12292\n8755 16675\n8344 19830\n9350 19803\n1213 14114\n14498 19998\n2846 6424\n12840 16186\n6416 16574\n3303 13965\n12520 17302\n6035 9560\n2630 6019\n3651 18988\n11022 12583\n16231 19102\n7598 14961\n985 18035\n4272 13389\n11202 12202\n8948 19378\n1879 14564\n9025 9227\n8224 9185\n1623 7512\n10625 15751\n11376 13914\n241 5877\n16730 17100\n17054 19513\n6064 11711\n10698 14911\n8679 18747\n4113 12796\n6454 20194\n16641 17380\n2749 6059\n6092 14242\n16357 19175\n2304 7915\n15357 18166\n8226 10637\n9172 13668\n1827 6904\n75 4502\n3152 17061\n11590 14576\n3291 4289\n5442 18976\n2725 8883\n3443 14366\n7194 19868\n1238 5719\n2908 9603\n16926 18492\n860 19755\n5358 16005\n11376 17467\n17349 18478\n2977 15840\n6980 13977\n11235 11742\n8503 19931\n2788 16721\n14623 15900\n9836 14183\n10970 12665\n3547 18569\n5296 7296\n895 15383\n17938 18160\n5527 7421\n9397 19989\n2630 16543\n10857 16511\n7482 13804\n9827 14026\n3635 17832\n7854 19547\n3244 14322\n7143 20169\n7686 10581\n15556 18022\n5482 13575\n3299 6010\n4586 13469\n6025 20197\n205 2845\n5026 17785\n15403 19964\n1870 8733\n8664 9759\n8170 10158\n14384 14427\n1097 19738\n6008 9060\n2327 6060\n15874 20120\n16131 17815\n2240 14227\n6939 11420\n14357 15475\n4548 8411\n7257 10319\n16620 16753\n12959 13843\n5707 17150\n8879 14821\n11283 19399\n8914 9239\n5189 10390\n2281 16332\n12859 19823\n6125 19464\n8674 14590\n4432 5634\n1146 4972\n3301 6868\n3600 4007\n14750 15503\n12591 18364\n7209 15730\n7418 10103\n4791 14485\n6515 10466\n1136 2930\n14909 17956\n524 4967\n7436 14248\n2477 10115\n1471 18378\n7637 18905\n2262 4724\n3808 18103\n11577 19793\n185 12722\n1836 5264\n12311 15553\n6820 9168\n15833 15949\n268 19132\n13513 17330\n8453 17877\n7990 11215\n10630 16372\n8360 11664\n6292 7764\n7339 10341\n16692 18303\n7781 15186\n8879 19356\n2793 15869\n18288 18794\n8218 14306\n13406 16021\n2857 6635\n17750 18247\n5634 10703\n6874 15568\n1440 2581\n4840 17872\n195 5447\n14045 15598\n11260 16168\n10116 12523\n2018 18027\n2524 8178\n5724 13183\n7889 19239\n8180 19060\n890 19381\n458 10714\n1895 1945\n5507 18847\n6818 19149\n15400 20225\n3469 18697\n4316 9705\n437 12713\n766 2035\n5829 12169\n6966 8851\n4184 20228\n9612 19902\n4950 8813\n18025 20000\n3649 8460\n7022 16704\n11403 17049\n18692 20242\n6103 18137\n581 4626\n6200 10984\n7548 9915\n5445 9494\n4980 11903\n14252 15356\n8661 18497\n14601 15440\n4650 17077\n870 16441\n14534 18027\n12055 14333\n10191 15451\n4351 8953\n12308 12759\n5102 13333\n2129 6717\n4599 6578\n8460 9423\n14163 14795\n13750 17482\n8808 9271\n1455 5920\n4151 14525\n712 8254\n12067 20026\n13483 13965\n5830 12051\n11479 14211\n6498 8411\n465 10541\n16049 17978\n9570 20139\n7006 7548\n4764 8996\n11520 16322\n12438 19980\n11609 12639\n9418 16127\n6897 19811\n5955 7851\n7293 18558\n281 4456\n12687 16580\n11349 13188\n3089 4605\n1078 5288\n5671 6199\n11813 17763\n6368 13400\n3373 14273\n2373 12477\n1819 12074\n5337 11549\n9676 12704\n1014 12736\n4323 10082\n804 1509\n12621 18335\n10703 17198\n6424 19894\n4301 18168\n802 2809\n261 16349\n3744 11026\n4186 4856\n375 11048\n1575 6280\n8134 19467\n63 15627\n9708 12202\n17396 18963\n5731 9258\n8239 9604\n10979 18488\n1158 18038\n7506 17617\n5354 10103\n7152 18414\n2447 5123\n16372 19155\n14842 18593\n7421 17624\n498 7486\n10688 11065\n9500 13667\n1464 19834\n11331 13288\n2193 7828\n4857 20084\n2266 6849\n7460 7941\n4679 15045\n7977 18884\n2880 18863\n6159 6986\n2300 10868\n1303 3386\n6563 10141\n7470 9150\n1141 16564\n7039 10421\n4139 13435\n10349 15400\n7483 20233\n6535 7848\n8066 8415\n137 12309\n1936 19574\n4053 6214\n4130 15390\n4562 18989\n7583 12607\n1387 15390\n4978 5770\n6522 13105\n9302 11315\n10090 17050\n3674 6828\n840 16025\n4247 12516\n4833 7464\n5439 15487\n7192 16588\n10591 16065\n1071 17110\n4257 16914\n11429 12130\n556 6607\n2027 6934\n167 9373\n9337 9380\n13167 18446\n6090 17217\n9943 19080\n9405 19268\n7046 17055\n9222 15116\n2473 8755\n7043 19461\n14168 16836\n1929 8367\n5249 8492\n8706 19695\n4026 5177\n240 16942\n6267 17104\n16336 16783\n8508 11973\n18078 18458\n9532 14863\n7348 10314\n745 5294\n17776 18980\n1550 6589\n1171 9612\n6441 13789\n318 2227\n5607 19656\n2189 6252\n6890 9632\n4582 10679\n10111 19965\n4199 18471\n348 12014\n1968 15924\n2261 15644\n5074 15951\n5232 15938\n10212 13627\n697 6455\n10020 14479\n8449 13483\n11380 20122\n542 11955\n3218 15307\n15448 19481\n1905 12951\n5399 11163\n8700 13385\n1660 9150\n9625 11618\n3660 16567\n7433 10404\n14395 16863\n5322 9974\n4176 15961\n5993 12065\n9392 14083\n8379 15027\n9528 13615\n7275 18294\n18482 19960\n1997 16301\n6009 11109\n2091 12701\n17242 20108\n1977 8374\n7237 13715\n5107 19651\n5881 17708\n5988 14359\n16275 19639\n16539 17407\n4197 5330\n2255 13977\n5928 7598\n9698 13736\n10654 20273\n270 18369\n836 1406\n6042 7156\n1551 13559\n268 6381\n9876 10242\n6324 7080\n10277 18977\n3188 10486\n4721 5246\n17906 19589\n2053 16047\n2726 7538\n1428 6003\n8195 17922\n741 6240\n1149 15799\n8040 17773\n5519 18720\n14314 15209\n5900 17072\n4427 19091\n4040 8960\n1940 9852\n5960 6548\n1714 13921\n463 9792\n9237 12761\n2586 8563\n2659 14061\n1461 12865\n16678 18169\n12710 17586\n10468 17726\n6646 16547\n11091 19086\n1599 17921\n7841 8660\n8883 11259\n13593 17333\n12194 12654\n7042 13878\n8770 14067\n5842 17643\n8343 15090\n4533 5169\n13479 20061\n132 18159\n7534 16567\n2067 18322\n12979 14733\n1186 17727\n7295 20067\n946 16109\n49 17976\n4172 9971\n6514 7299\n5425 12677\n1154 1198\n3082 16268\n1925 6432\n8238 14413\n3701 11890\n2487 14499\n5160 6978\n1558 5782\n1127 12282\n9934 17028\n17917 18737\n797 11032\n9979 14616\n14678 17138\n7139 12879\n11284 13676\n25 18321\n19438 19852\n12593 13986\n3620 11043\n12644 18886\n1465 4490\n578 1193\n10378 19817\n8229 18998\n4765 16003\n1871 6551\n1715 8435\n17789 19189\n11568 18581\n3897 13738\n4183 15986\n4399 8300\n14212 14864\n14323 19114\n4892 12257\n637 6367\n3787 16415\n4071 8113\n11478 19608\n7865 13052\n9246 18086\n14573 19220\n4916 12067\n6924 10743\n8750 11577\n10351 13902\n3219 7499\n13120 19831\n1792 16987\n16253 18764\n11648 19623\n11964 17393\n16136 18890\n13914 15810\n9846 20027\n2796 17005\n1894 17140\n13911 20132\n9078 12783\n9903 15485\n5806 14881\n14900 15850\n681 4254\n5492 19465\n6006 11144\n13683 14078\n9435 9450\n3291 4702\n17228 17365\n5620 16811\n8036 14726\n7897 9044\n11026 16733\n4968 18784\n1080 9968\n7706 18888\n8554 12958\n4818 7607\n175 2996\n9204 18512\n6111 8781\n6431 17444\n8815 15075\n3860 16312\n154 11805\n2845 12650\n3546 19299\n4600 13624\n4090 11601\n8074 18732\n14613 19154\n8894 9553\n6903 11317\n2537 15766\n1969 9628\n6069 17295\n18374 19461\n868 2053\n6550 19122\n8789 16561\n6680 11685\n18729 18929\n10227 18255\n13287 13938\n2575 14371\n15338 16728\n5994 7432\n19547 20079\n4066 9876\n11655 16337\n5976 15267\n12792 19614\n5063 18755\n14275 18859\n6960 12060\n10854 18342\n9080 9823\n5096 15193\n5659 8431\n696 4435\n11518 16000\n7132 17269\n10956 12566\n6113 12119\n2508 13953\n2144 6937\n4759 20263\n5420 8525\n7091 7709\n3346 14558\n4734 8470\n9236 11157\n11873 16417\n9562 15992\n2062 15989\n5357 20140\n9635 15025\n12313 17849\n12714 14839\n6648 10025\n4802 17341\n12814 20231\n3887 15005\n4985 10320\n6329 19063\n6555 7599\n4049 11977\n6980 9628\n4670 18234\n3135 12000\n6939 14438\n5476 19393\n588 11888\n16900 18475\n4782 18780\n9740 10682\n11583 14504\n15099 17325\n1300 4327\n3976 16102\n2419 5230\n8002 16302\n2303 10914\n502 20211\n4040 14950\n5097 9308\n7810 11864\n3072 8140\n5779 8138\n8935 16407\n15482 18053\n8582 9789\n7444 14567\n2414 17565\n220 15916\n885 5095\n19180 19832\n3293 19185\n3146 9689\n9104 18719\n1708 20143\n10218 18906\n1974 14569\n3766 8417\n9902 11618\n4920 7673\n4909 13165\n1331 7111\n3899 9975\n11369 15005\n3075 12156\n19178 19385\n14333 17226\n7893 9897\n2225 12609\n2754 5530\n2683 7968\n1720 2677\n13218 13699\n1854 8449\n10011 19532\n2316 10198\n1961 8281\n14820 15794\n6848 8655\n16085 17549\n416 15524\n2122 14915\n6021 16944\n7958 10851\n9404 14425\n15037 18299\n6013 13139\n794 10524\n998 17023\n10748 11794\n8407 13947\n1681 6081\n16287 19429\n11541 20025\n7462 7807\n1357 13790\n9315 16735\n2867 10614\n12282 16970\n5194 10281\n426 4099\n344 16893\n3089 12297\n700 3711\n3860 12789\n10164 17551\n1786 4687\n2457 18317\n9321 12469\n1715 17907\n7982 20069\n5568 9569\n12465 17255\n2365 14516\n13893 20149\n2246 6722\n2654 9832\n2492 13782\n583 11888\n3499 11037\n8937 15303\n13570 17757\n9888 12396\n6022 7101\n11264 17695\n10577 16947\n1383 6697\n14874 15888\n13073 19682\n14723 19049\n3054 10870\n3975 6034\n10409 14447\n7405 16179\n6889 17713\n651 10034\n10330 16247\n4945 16537\n762 9895\n11832 20137\n3373 3982\n2219 8101\n10283 11091\n751 16031\n17383 19148\n1474 19648\n7198 14357\n16850 19326\n5382 19351\n13147 18170\n4864 9427\n3292 14973\n3657 8791\n18482 19370\n2392 7864\n682 2853\n4680 15781\n10470 17463\n8970 16437\n5031 13401\n1415 7766\n1541 14711\n3692 11219\n7941 11239\n12339 15949\n1092 11573\n9799 17356\n4982 19327\n12350 13920\n2917 8259\n5699 6732\n17196 18151\n7272 8284\n10736 13242\n8593 20264\n18962 19623\n2502 18847\n6928 19683\n12633 14556\n2650 13523\n1186 19583\n7855 18393\n249 16679\n11597 14301\n10362 17594\n2879 13864\n10659 19627\n3402 5193\n5860 6136\n2398 14857\n3001 16401\n2900 9331\n9884 14510\n8167 15745\n8247 19051\n8199 11686\n3382 6059\n6216 19869\n6667 14585\n2903 13216\n2712 4380\n18586 19037\n33 3765\n5927 12091\n16482 18482\n1988 16173\n7134 9873\n1164 11241\n2074 19525\n4921 6971\n3763 10073\n9021 14293\n5598 15193\n1191 8311\n3256 17147\n3978 6854\n1460 9117\n7834 13637\n11945 12777\n2384 9781\n10306 15330\n367 7310\n7065 16517\n512 9013\n3242 10492\n2169 8587\n4614 14506\n3234 14547\n14484 17965\n6745 17678\n9344 16123\n6350 10995\n14467 14863\n10367 14225\n1121 8185\n15587 17195\n11697 16077\n14425 18640\n1829 14376\n16033 18742\n252 12673\n4230 10393\n2216 7856\n101 5953\n1784 19944\n10473 13096\n3041 8265\n3824 6599\n2948 13730\n8291 15460\n5541 18532\n951 16232\n5893 15520\n6788 18805\n4784 8275\n9071 16273\n676 6261\n4396 9251\n15005 17650\n4221 13559\n448 12624\n3432 15413\n4763 7485\n5050 12493\n15470 17536\n9998 16558\n15856 16342\n11821 16045\n3584 18995\n11199 20258\n11023 15005\n7504 10645\n7351 18135\n3999 17951\n5702 6174\n11565 18357\n1316 7683\n1062 14364\n1303 11372\n8788 13399\n7092 10062\n5224 18238\n12290 15719\n9162 16944\n14072 16195\n12211 13967\n4381 16574\n15110 19229\n1792 16969\n859 19750\n2836 5894\n8694 9198\n16183 18158\n273 7252\n14077 18708\n9172 14324\n3127 15484\n10727 20084\n7033 8146\n11212 13236\n1401 9841\n3720 16991\n15096 17417\n1882 18749\n6060 10057\n10206 14947\n7482 14629\n3295 8212\n13010 19117\n8802 10066\n3128 20269\n14721 15527\n16058 17288\n6284 16307\n8745 19476\n12817 18187\n7381 7758\n10907 12980\n13882 18297\n342 2897\n13269 16808\n12961 20178\n13628 15916\n13069 18662\n11092 11459\n6232 11410\n5557 6514\n4901 13942\n12251 18391\n8327 17132\n15136 15223\n1469 13628\n7787 9834\n1959 8787\n2150 16103\n2417 11659\n3079 17906\n15243 16032\n8761 12366\n7501 7737\n5040 16554\n12288 12675\n1440 14271\n1596 12289\n1417 3121\n1004 3001\n3161 9726\n6968 10292\n1155 9840\n553 6203\n1282 10956\n8334 12830\n1285 13031\n13485 15202\n13101 18420\n12255 12660\n9276 16583\n1772 14355\n1505 7966\n11796 18766\n5880 16333\n6507 11970\n10572 20190\n883 12275\n227 14800\n8517 11392\n5477 11496\n12577 13238\n16757 17524\n14645 18318\n11120 18775\n3766 15992\n1317 13687\n3277 13267\n11795 11930\n2038 15676\n10383 13945\n12635 15286\n6038 16466\n346 1606\n9024 11441\n4806 19822\n9687 16893\n6073 18009\n8254 15050\n3659 13092\n1441 14495\n3003 8112\n9987 11495\n3264 4816\n82 18452\n521 12818\n3603 16715\n646 20216\n4209 11339\n2078 9053\n4456 16089\n6495 16711\n4375 12710\n14693 16118\n4131 5069\n1575 7068\n7798 14555\n2805 12031\n6028 16047\n5748 6781\n10922 11629\n9922 17646\n5794 12973\n15213 17871\n1451 14986\n2746 14941\n2030 10022\n12050 15696\n9362 16970\n14533 16881\n10988 14360\n4129 17017\n9694 19950\n2724 4182\n8414 15208\n9760 18797\n19485 19604\n1842 7676\n5405 17916\n11232 15976\n4761 5654\n2062 12270\n1928 4045\n9166 14378\n2269 3704\n10976 19056\n3634 4249\n2535 20004\n5509 19156\n11289 13638\n7123 18501\n1494 18740\n3128 11200\n4435 12252\n3800 18705\n8939 17064\n5344 19868\n7948 16305\n10293 19294\n3177 10620\n2245 17056\n12034 17080\n14201 17084\n14139 18563\n15598 19058\n5026 9982\n7387 11185\n6651 15687\n10339 18429\n13079 19874\n2891 14783\n13925 18426\n6131 6528\n10328 10713\n2330 19301\n1660 2745\n3386 8119\n5163 18476\n7960 20111\n5424 12177\n8541 18966\n8058 17284\n14758 17440\n3778 17146\n9895 14754\n8246 13840\n3596 8120\n9045 11328\n12536 13784\n4659 10286\n2654 4621\n13033 13760\n11735 13027\n2237 18708\n7862 17644\n6354 20175\n11530 16985\n10510 13810\n4244 12228\n10809 11765\n12023 14931\n3131 14550\n9131 14572\n3433 10193\n8019 14681\n10056 14510\n2373 3670\n15825 19157\n1862 14382\n2164 12682\n2617 8609\n185 16017\n3544 16257\n1876 18203\n4199 5049\n1106 6276\n10419 16025\n11922 16623\n3054 14094\n7075 7565\n3836 20263\n2026 2173\n4146 7445\n10995 17965\n11223 12419\n6626 14079\n9504 16077\n14077 14170\n3395 15453\n9080 11538\n61 12378\n7937 19758\n3635 11857\n6773 10720\n287 18379\n10974 18633\n1936 9210\n93 11707\n13413 18841\n7829 15131\n6468 13989\n1101 11593\n6480 15766\n6148 11430\n14008 14506\n10295 11480\n11686 13093\n2264 11955\n4786 10320\n10301 11495\n1188 8057\n1209 11705\n2486 16425\n596 8811\n9009 16188\n3165 13406\n9978 13704\n8880 14461\n2297 6929\n13796 16068\n13530 16504\n1890 4539\n14588 19100\n2358 8689\n9376 18719\n13210 15068\n745 3354\n8910 9823\n16581 16826\n3562 18292\n5336 18655\n11596 11887\n10670 17573\n3335 15056\n5993 9708\n5347 8009\n999 13948\n5880 10144\n16559 17698\n5660 7240\n6714 19399\n9620 13985\n4625 12297\n10043 15132\n9931 13042\n1080 8965\n6402 14702\n790 5555\n2062 12898\n9603 11193\n10055 17545\n7855 19667\n8821 19270\n14833 16282\n8894 15264\n1581 18868\n1214 16579\n415 12352\n9672 14676\n14937 19538\n2798 15794\n2260 19125\n1538 8748\n7636 16589\n14381 15922\n2239 15059\n3085 14384\n612 15607\n4864 17462\n9707 19373\n9977 16137\n5031 16164\n8114 8590\n6596 15532\n9948 19965\n2383 16066\n697 14613\n10917 12528\n4589 10265\n751 12751\n4309 17870\n8238 17405\n11618 14580\n2669 20126\n10793 19673\n1442 2629\n10035 19557\n5344 5694\n15340 19996\n9560 19241\n9512 12072\n16116 16908\n8042 18176\n5679 11033\n2011 13545\n4081 6162\n6061 14036\n13551 17275\n208 6966\n8893 20126\n13753 16315\n2301 17379\n2053 18480\n9654 15966\n5597 14787\n6184 20019\n12117 13739\n2309 4045\n6554 13664\n1366 9922\n1477 18964\n7993 19390\n1774 15394\n633 18867\n10837 14061\n1022 19567\n10706 19561\n7675 19744\n5259 8162\n6766 9880\n5595 11238\n6613 16482\n4340 5445\n4272 7325\n731 17645\n6557 15013\n9606 13007\n2720 3286\n19149 20015\n11677 14404\n4956 17450\n19647 19813\n8807 15438\n6261 7853\n3165 3557\n12567 16450\n5616 8655\n6108 12354\n1192 10921\n7144 17969\n8865 17000\n11698 16695\n3944 4890\n4451 8793\n12767 14369\n4170 16196\n604 4121\n7229 18718\n8695 10205\n9649 19715\n6181 17743\n15634 17489\n3422 19032\n1762 17884\n15326 17447\n11361 12642\n11098 19893\n9444 11009\n6111 6328\n8861 10379\n17962 18339\n5121 20052\n13431 16197\n5682 8271\n15858 16098\n15035 15514\n3725 12462\n1515 3534\n16731 19562\n10059 11706\n10757 20185\n5204 10965\n5743 9114\n11458 12745\n13200 13864\n14523 15234\n8546 17640\n7042 14423\n193 16118\n8982 18282\n3642 3771\n8780 11725\n4636 9898\n9346 13930\n2186 4820\n1829 7466\n10203 12202\n562 16763\n2436 16115\n10495 18338\n7392 12813\n14066 17739\n9386 20142\n115 287\n293 17862\n1851 18293\n13252 16821\n19605 19740\n5070 18174\n9603 16736\n7941 9285\n12115 14448\n3386 8098\n5050 10941\n15234 15819\n13146 18979\n5342 7040\n3556 11641\n16302 20181\n4969 17664\n396 17799\n7249 9949\n15538 19797\n5056 12056\n1765 16699\n16285 18056\n5397 7779\n6743 19541\n4096 14241\n4526 12128\n983 6547\n720 7911\n7568 17612\n2363 11702\n60 9090\n14806 19581\n13590 18061\n14457 18461\n13859 16772\n2983 15709\n3253 4994\n5104 17976\n9116 16715\n10007 11912\n3741 13206\n2552 12660\n8651 18533\n11459 13145\n3102 6482\n6817 16314\n11058 17484\n8282 16643\n16001 19784\n8965 12442\n11663 12034\n4301 11752\n10042 15235\n16285 17827\n7373 19648\n68 17014\n7307 15486\n10342 16946\n14566 16757\n6412 18891\n8291 14627\n7120 17398\n8763 18961\n3761 12541\n5224 10871\n6361 7803\n753 15306\n1745 4646\n12836 18527\n133 8130\n712 1792\n71 4131\n8716 14364\n2564 11669\n4500 15512\n602 966\n10087 14924\n4818 18313\n4254 19095\n5912 18845\n11370 11982\n9337 9898\n5428 18170\n15078 20068\n1068 15910\n3547 5072\n5916 12719\n13671 17980\n163 15276\n5908 15702\n3508 11574\n9287 10989\n7367 19550\n1200 15981\n16821 16823\n10462 14283\n10833 12363\n43 4953\n226 18446\n7420 18935\n3498 19161\n1606 17424\n6275 19949\n5588 6775\n541 2776\n1330 19017\n4234 7232\n9469 19499\n15962 18683\n9244 19784\n6986 8092\n10747 11292\n1861 15454\n18619 19003\n2381 19823\n958 17244\n15416 16503\n8492 11727\n12547 17395\n395 11535\n17747 19875\n8772 18938\n16552 16758\n2800 6713\n3320 7913\n227 6806\n16596 19873\n4446 19731\n4298 20216\n4384 8558\n6557 18298\n3204 6896\n9165 14479\n1176 4389\n1935 7660\n9754 13893\n9956 12501\n7806 10192\n4189 5308\n4949 8718\n10208 10629\n3690 12375\n737 3932\n652 4085\n8491 17350\n13789 15186\n19290 20220\n16 14015\n10041 14643\n2078 14804\n8828 18662\n2569 12100\n523 8067\n14419 15118\n8427 11716\n3467 9357\n7952 12753\n5944 12985\n13649 19606\n8772 11911\n4962 11838\n3381 17818\n10984 12354\n9150 16256\n6044 10230\n1157 6983\n6759 8026\n5509 11447\n16357 19652\n5327 16724\n5021 17270\n5319 19243\n331 18883\n6328 13742\n4653 7040\n18423 18550\n8279 18170\n14374 15156\n9232 15421\n4541 6272\n1869 20173\n48 13186\n2564 14245\n3391 13116\n6784 7248\n12491 18550\n10598 17434\n3365 12273\n12824 18796\n494 4492\n11311 19623\n4663 7321\n6967 8025\n10609 19054\n3495 19067\n7052 14412\n6084 18778\n6916 17575\n4994 8952\n16717 17798\n6915 13272\n649 3985\n8945 16651\n6128 14583\n6603 7353\n3844 18660\n5542 14478\n2297 19602\n2582 7567\n11288 13427\n14788 17625\n12788 17029\n3544 18335\n9989 11007\n8489 12690\n251 13439\n11295 13128\n6546 14669\n5043 18069\n8249 10878\n7550 20161\n5219 15090\n4714 16808\n6346 17150\n16275 17876\n2834 17024\n14315 18309\n3413 19885\n7755 18799\n3394 10414\n2470 19970\n4910 18359\n3476 9043\n7983 14466\n19194 19324\n875 4455\n5826 12767\n16304 18378\n6077 15980\n609 6051\n9397 11985\n2405 5269\n2892 19303\n4604 17323\n6316 9017\n775 18442\n1297 14040\n2852 8539\n4659 14161\n14392 19067\n3474 3794\n5866 13439\n4363 18965\n3434 3860\n10124 17623\n16802 18231\n6252 9767\n7269 11194\n2834 3175\n2120 3377\n2501 16858\n9725 14023\n8212 13388\n5751 13827\n7272 8521\n2828 18079\n5675 16817\n8499 16609\n7085 17331\n5842 14461\n13490 15316\n5272 15862\n8429 16696\n4797 6906\n2668 18202\n14773 17023\n7425 8573\n11352 18022\n8878 16024\n5591 7429\n8136 11716\n6217 11627\n7122 7243\n7631 14188\n4349 6134\n1392 10806\n9611 12949\n5691 17108\n4080 6170\n12686 20176\n10522 12635\n5788 19392\n164 13710\n5021 11748\n11135 16247\n4440 19658\n797 2965\n6250 7829\n1141 10171\n3563 7636\n3051 6332\n8387 15578\n11842 19347\n8902 10773\n10553 16390\n989 16946\n7234 17253\n7707 16054\n3090 8203\n7231 15139\n6524 19399\n4783 18583\n17399 19047\n10801 14096\n9185 15643\n10931 12454\n8657 12685\n6033 12245\n1720 9944\n4408 17596\n78 11828\n1186 2032\n12694 20122\n754 19705\n3493 5288\n4153 11210\n10032 11443\n9065 17787\n276 15818\n8208 16374\n8550 18469\n1755 17600\n17545 20148\n5936 10343\n6510 18097\n1879 6746\n2010 9317\n3923 16878\n978 12780\n5053 5724\n8209 19552\n5161 10111\n3873 6864\n15598 17981\n5057 19205\n17242 18502\n8712 12827\n583 9579\n7724 15532\n3590 18782\n5280 8693\n16761 19323\n1494 5974\n6351 8715\n2468 7056\n3028 4227\n3739 15732\n9997 12914\n149 11843\n1389 4109\n7045 9273\n710 11312\n16150 18147\n3159 16943\n5201 5246\n5119 16251\n1660 3524\n1151 8937\n10487 19135\n8075 13806\n6325 8044\n7838 8098\n2850 11072\n11561 16047\n9721 14905\n9725 11108\n9157 12755\n658 15418\n4029 11187\n17154 18419\n16703 17601\n9742 15900\n6809 17087\n6 19643\n9406 19921\n17123 18014\n9660 13987\n7549 16296\n5139 7948\n12008 15536\n2334 10104\n14 9430\n6093 14655\n4148 6508\n5131 19785\n2706 8763\n15979 16161\n3897 11789\n4032 11666\n8129 18897\n12408 16701\n3994 14458\n4495 16166\n13337 14798\n12986 13700\n7194 8238\n3069 11248\n13532 16245\n2799 17144\n495 4019\n14953 18443\n8933 16383\n12139 13398\n5275 16945\n11244 12252\n10546 14002\n3686 8391\n7611 13711\n6584 17790\n3444 4568\n651 5025\n36 12740\n11496 16754\n12530 14289\n10731 18941\n4166 19671\n17169 19493\n4971 11169\n5130 20064\n5924 10377\n161 9491\n5292 15868\n10962 20149\n7149 17116\n5564 17897\n944 3583\n3425 15372\n16159 16812\n4166 10229\n7 10192\n4591 17254\n11019 19202\n5102 15448\n1055 17495\n6854 10517\n15532 17431\n2225 8486\n7388 15999\n4405 16001\n8883 18639\n5307 6562\n12990 14593\n1719 18108\n9238 15226\n7489 18237\n1534 1594\n5459 16752\n11881 13566\n1938 18937\n5644 11237\n6469 10404\n4414 10336\n2478 5139\n16655 18207\n6259 7326\n349 16153\n4726 10077\n3715 11409\n4461 5302\n9436 15311\n11911 20190\n3282 19445\n4950 5529\n5228 11657\n3915 11017\n8207 9234\n100 6158\n5972 6146\n1472 13196\n3051 4883\n7293 18097\n4350 11176\n7934 12704\n2736 15441\n838 14171\n1304 14206\n8070 14643\n1062 12295\n10702 13615\n2337 7320\n5441 14075\n5727 20163\n5110 12299\n15692 18691\n10220 18661\n8559 11262\n18270 19080\n5496 14834\n19020 20089\n1895 16403\n12217 13592\n1387 4967\n3387 12613\n3038 6289\n9473 9628\n9756 15715\n17915 18816\n7656 9613\n4075 8761\n17142 19701\n633 3298\n3665 3841\n904 19968\n7528 12318\n13648 16409\n10455 12269\n10030 17081\n214 3921\n2609 2854\n1547 6706\n2820 19579\n6513 7513\n5027 13704\n6435 9660\n12575 19776\n7090 17861\n7901 12822\n9144 9493\n9791 10168\n5909 11892\n10276 16003\n2413 14717\n537 16999\n7033 13361\n7338 10234\n3101 8920\n5428 10537\n3133 11523\n1774 13491\n8964 19154\n5798 9745\n9786 13345\n8465 11502\n2529 12424\n2537 14489\n4776 9135\n15651 16889\n4787 18432\n4919 7962\n10738 18698\n18724 19895\n11762 19635\n4648 11484\n14582 16447\n7923 19532\n12759 18361\n8865 11678\n59 7962\n903 14597\n5153 18856\n19777 19794\n559 3920\n1086 5092\n14552 19236\n12917 19038\n12009 12745\n2913 18555\n14227 14559\n5913 17949\n8530 11168\n8196 11306\n7364 10779\n2082 15121\n6237 19711\n7058 17293\n3464 14894\n8537 16548\n872 16745\n10940 18555\n8279 13298\n463 8970\n3178 4004\n9674 10882\n15357 15360\n1638 13384\n4061 7613\n9583 18045\n14076 17822\n10693 17233\n12494 17754\n117 19871\n2276 5607\n523 19912\n1524 12674\n4958 13104\n16717 17860\n11651 16390\n1597 3244\n3571 7406\n12364 19395\n133 7728\n7627 15426\n7703 20114\n11917 14634\n5098 20145\n7648 17918\n9731 12542\n12586 14907\n15383 19128\n6065 11532\n12916 18524\n2263 11806\n13569 18680\n9190 18169\n678 15667\n2138 4919\n4462 10681\n3138 9976\n5721 13693\n1316 13153\n16288 18539\n12260 15431\n3581 8409\n1178 16783\n5437 8868\n6958 8927\n5331 14574\n9166 14222\n11102 17907\n7095 10845\n7115 16466\n5186 19458\n3744 11955\n6833 18809\n1802 7068\n16601 17443\n2241 15248\n15878 16622\n2920 11142\n5529 13176\n4118 15165\n5071 10182\n12647 15393\n4775 14918\n8385 12881\n3120 10300\n11735 14095\n4073 9417\n1849 16394\n2129 11769\n3248 3997\n11678 18969\n7730 18072\n1179 9608\n3003 8430\n4664 10689\n15981 18713\n12104 17870\n13162 18419\n4521 7133\n9358 19103\n6256 15442\n222 7969\n8288 14940\n4684 9903\n11520 15628\n5760 18754\n1517 19477\n2091 11886\n7852 19709\n2360 17744\n186 14628\n5008 16886\n12981 17388\n13570 15677\n141 3032\n4228 17419\n3780 5507\n1558 17364\n4172 5249\n5267 15496\n9732 15672\n8678 13209\n3824 6040\n9698 13148\n520 6921\n6917 7432\n6344 14297\n6643 12637\n518 10525\n4271 4766\n11033 18322\n9921 10948\n3897 18383\n15843 15894\n4348 8986\n4145 19570\n7745 10288\n3015 12138\n625 12079\n1005 13071\n8774 9477\n1052 6883\n3544 19995\n13850 15509\n8797 10951\n1689 18228\n18493 20148\n720 1342\n16972 20077\n4210 19621\n2527 15980\n5148 7249\n3724 15751\n7087 7920\n8439 8628\n3449 19588\n5154 6274\n10650 14658\n5724 7146\n13777 19782\n3333 9860\n7005 11562\n969 7583\n366 1239\n1058 9812\n9938 13748\n4401 9642\n1107 4651\n11931 13278\n2698 11492\n12881 13664\n5786 15774\n11421 14045\n2577 14415\n6442 20085\n12681 18332\n13369 18350\n3433 6083\n2025 11743\n9486 10900\n2520 13380\n15274 18391\n2935 9606\n8889 10402\n2542 9952\n15632 19900\n13654 17108\n14708 16197\n598 9595\n1705 19423\n16525 19731\n3681 13760\n5767 18308\n719 13257\n4217 8561\n5187 12322\n10201 18209\n14059 19534\n1687 11277\n628 4202\n12224 16711\n8532 14406\n11055 14814\n16698 18851\n13996 19990\n636 16769\n7902 8786\n2734 15292\n425 12056\n9557 11461\n14643 17449\n2725 19026\n7695 13496\n3821 17623\n7573 13409\n6986 8739\n1028 3445\n914 15369\n1225 3041\n7494 17546\n5271 8357\n2917 7673\n2150 8321\n16713 17258\n1704 18914\n7231 9752\n3750 17798\n15938 17741\n17554 19838\n4815 15638\n3147 11419\n6772 17892\n12495 16849\n3886 5824\n14985 20050\n8321 11726\n2241 18702\n823 8134\n1453 3743\n563 7626\n995 12588\n3586 10326\n16800 19056\n13227 16632\n3776 16120\n3910 4273\n2861 18674\n6203 10959\n5673 6199\n7729 17845\n5108 10251\n15874 17575\n8691 11759\n14048 19416\n7737 13415\n4240 17753\n7861 14549\n4196 7511\n6298 7290\n1133 16402\n4043 19568\n4736 6842\n10964 13331\n387 8167\n13248 15510\n6797 11186\n1991 14990\n239 6902\n15875 17325\n13632 17364\n10889 16009\n7045 16614\n7341 14769\n978 3449\n7152 13854\n2462 11392\n13541 20275\n751 7826\n8279 19882\n14136 18780\n845 3397\n3834 7796\n13227 16120\n9798 9915\n6696 17417\n4394 11159\n2107 15882\n1763 17414\n2414 12123\n2941 16457\n5299 15690\n3396 20273\n7570 11599\n1663 17030\n6706 11476\n5304 12452\n4083 6149\n7709 18130\n6189 15483\n7393 11843\n5865 16217\n15619 17953\n6654 7734\n3737 9050\n7394 15454\n2043 12811\n18589 19473\n14211 19223\n3025 9558\n1864 3698\n3367 19608\n2925 3784\n2242 13615\n2793 7224\n8523 10958\n1623 16270\n8445 19743\n11688 17863\n16842 17409\n5672 11689\n71 1689\n5260 14952\n9527 16203\n7956 10079\n6081 6929\n5400 14952\n1699 9493\n5401 18313\n7819 18968\n7139 16001\n9926 10113\n5627 13245\n10047 19809\n4305 19625\n4231 12676\n12685 17012\n10666 17473\n1249 6758\n6796 19904\n3461 19424\n3890 16341\n4153 7374\n627 16919\n10525 15455\n9117 14587\n1604 14364\n15152 19170\n3405 7037\n8067 15806\n11230 15426\n52 6042\n11948 19212\n9574 17841\n14237 16703\n2274 3269\n1280 15781\n8102 19011\n2807 7004\n11804 15352\n1939 15732\n4701 9988\n6807 14079\n699 11753\n5559 14306\n4158 15675\n1888 18414\n13017 19377\n3621 7948\n9880 20045\n11070 14843\n3656 7979\n14163 19753\n10881 13557\n3831 7774\n317 899\n2798 4005\n1586 8132\n7202 10778\n7020 11571\n10215 15070\n3117 15862\n3537 4111\n15254 16403\n13122 15274\n6807 18277\n672 11835\n1984 19796\n10631 20255\n3223 3976\n3278 10379\n1266 15135\n17605 18973\n10323 18553\n17313 18008\n6187 20206\n15489 17286\n5455 12310\n518 6713\n11951 12407\n12364 13207\n6519 9347\n116 4447\n1893 9019\n8436 14765\n13425 16249\n3932 17967\n15530 16760\n5051 19811\n1828 7861\n4242 14415\n1811 8789\n13548 19083\n3883 11622\n7360 15589\n18216 18273\n1207 8094\n5294 17343\n5221 17645\n15232 19848\n9935 17247\n11634 19416\n5454 15710\n2364 6133\n8813 13933\n8895 19802\n2062 5766\n12155 17597\n7152 11306\n8910 11378\n591 15932\n11861 16855\n13820 14697\n13902 14566\n7779 12831\n6801 17120\n2683 13165\n8315 9100\n7854 19036\n829 1602\n805 16513\n12585 17125\n713 1597\n232 10485\n8942 12678\n3735 19105\n2608 11909\n10847 11652\n1917 8906\n1841 14311\n3362 13814\n8903 9294\n6864 11804\n7337 17129\n2953 5053\n3195 17550\n492 1585\n4218 4792\n9839 12048\n8294 14653\n7230 18243\n2699 11714\n15684 18313\n1258 9160\n9886 15046\n9651 17921\n3637 19693\n9258 16413\n6784 7145\n3122 7410\n2390 13256\n11193 18143\n3587 13391\n2867 10751\n10643 16084\n15769 18749\n7115 19291\n14250 17168\n18291 19602\n7330 18862\n13199 19130\n590 5098\n947 13407\n1379 15885\n5018 6521\n7518 19492\n6935 13848\n4864 14910\n9757 10560\n13146 15009\n5724 7040\n15562 19204\n11347 11734\n14512 16271\n176 2184\n3413 7890\n9843 14324\n6270 11434\n9054 18512\n2100 10101\n9432 19025\n4770 18023\n5713 15793\n9221 11156\n6718 19561\n3859 6002\n6700 16931\n1599 18198\n4287 17754\n618 7063\n675 20206\n11664 14952\n12419 16374\n14179 14233\n4389 6102\n7721 12745\n3994 19768\n11253 17710\n3888 13228\n9636 17669\n6349 16182\n2512 19564\n12356 18620\n6242 14001\n9529 14615\n2472 5233\n4462 16085\n4237 15795\n7659 11964\n940 16820\n8786 16586\n11777 14882\n9312 10452\n5882 18488\n2009 2247\n3474 9989\n9147 11872\n1786 11578\n9684 12971\n11442 16545\n9899 11785\n2724 8743\n1135 16529\n1283 9865\n1633 5683\n12095 13010\n9254 11808\n7310 12181\n8293 10414\n3244 16515\n812 18260\n12666 17346\n8876 18162\n2623 7355\n17272 18112\n5033 16456\n14653 16267\n9934 16476\n65 10865\n390 16081\n898 14480\n1841 10340\n16749 19494\n14289 17699\n13205 15028\n9117 11227\n12167 15568\n7234 11374\n9062 11761\n2316 17255\n3899 8624\n6830 14262\n3934 8230\n1067 18932\n4812 15501\n971 4469\n767 3621\n8542 15152\n4740 12089\n10973 13219\n8108 14895\n12449 18813\n9771 10911\n629 16523\n8739 18000\n2499 15387\n493 19895\n966 7351\n3470 11348\n14129 15184\n7903 17880\n2120 7441\n1000 20074\n3437 12304\n5966 8873\n1524 6114\n12610 15407\n3410 18202\n4350 5011\n955 7725\n1224 19809\n6882 16381\n3085 3848\n17829 18866\n3874 7862\n351 13259\n8163 15220\n3284 10605\n11253 14601\n10521 10630\n13946 14846\n9405 16166\n2010 8148\n15055 18823\n10119 10373\n2018 20178\n15009 15370\n5574 11916\n10102 14099\n1654 2260\n6883 13871\n13214 19979\n11119 19278\n13082 19765\n10859 18242\n5145 18049\n13637 17736\n1751 12613\n6454 8373\n3693 17442\n11571 12284\n1800 16596\n11105 12446\n3572 11374\n2910 12668\n16280 19708\n12684 13821\n9639 15194\n5182 12058\n13723 18235\n13141 15140\n3910 17650\n10449 19291\n4804 8067\n4808 7884\n3894 17100\n9051 18391\n12925 15025\n7271 13098\n4795 18733\n3459 14833\n6532 10967\n2724 17902\n8601 17407\n7215 11150\n15136 19802\n1898 12679\n754 14589\n2899 4333\n15639 15893\n7437 19317\n2248 15897\n22 2278\n10219 12298\n358 9683\n8225 13593\n3015 14335\n518 14013\n4167 7881\n1372 12023\n543 4875\n5750 19810\n14466 20060\n9846 9945\n2213 10657\n7584 9877\n5108 9795\n4638 17652\n2963 8607\n1871 6668\n2553 12914\n5034 10293\n7037 16546\n10691 14518\n6761 16615\n5592 7023\n9572 20220\n3984 6569\n2427 2613\n513 19893\n2837 17319\n12219 19127\n3575 7630\n9389 14078\n11703 16028\n9776 19511\n8891 12455\n16321 19688\n2945 17750\n10485 13329\n6416 9700\n2988 17716\n2129 9371\n10182 17479\n5295 18016\n3352 16841\n1934 14271\n2895 17481\n13825 18091\n4393 4639\n714 2893\n12346 18085\n9160 10652\n9817 19882\n1480 16704\n7741 12386\n7759 12675\n8813 17822\n332 7018\n10125 10989\n6375 13653\n13262 13375\n3246 5928\n13210 19411\n6807 13225\n15236 16542\n15808 19045\n2881 5312\n10320 12486\n806 17095\n18357 18556\n1095 12177\n4359 11915\n3729 14657\n3172 12930\n853 19474\n2463 10592\n9641 11237\n61 4014\n11943 15185\n10119 11484\n1121 3239\n4921 13572\n915 17920\n4909 14782\n4752 19338\n3500 18528\n701 17527\n700 10815\n4955 15231\n1052 13020\n2634 16160\n2588 7299\n12976 17564\n10210 17532\n7036 19870\n3017 12024\n1024 14999\n5961 15129\n5776 14550\n1168 16048\n18413 20199\n6309 13033\n3810 9277\n14433 18131\n409 6915\n16860 18746\n6791 6855\n11806 19172\n11840 12020\n1864 3210\n9321 17987\n6753 6961\n15293 18124\n86 3153\n4697 10174\n6316 16901\n1638 4336\n17095 18941\n1654 17000\n3800 8498\n5657 12022\n3046 7683\n2949 18835\n6743 8181\n7441 12257\n2914 8931\n13948 17372\n4883 12015\n17198 17490\n7202 15375\n3882 9651\n11963 15518\n10410 15205\n16976 18026\n9102 14687\n12596 14313\n4498 6700\n9387 16154\n450 12459\n4625 20119\n4327 14316\n1455 2272\n3272 10631\n3355 10155\n8374 20093\n2167 17725\n16251 16411\n5319 9474\n3585 9061\n2318 11518\n1208 16300\n2643 11772\n2041 3968\n5667 12294\n3232 6438\n10014 19727\n11337 13591\n12359 14849\n2983 9774\n11148 19215\n2003 6536\n6117 18780\n5389 10372\n1244 9246\n10163 11730\n11720 12999\n3105 3551\n9915 19381\n13582 19230\n775 7344\n3919 13340\n9286 19126\n14122 16148\n14 13615\n2099 16284\n1300 15727\n3368 18731\n3941 9996\n2807 19318\n583 9504\n4430 7733\n2321 13928\n86 19497\n15400 19578\n577 5640\n6536 9128\n7999 16033\n556 10497\n4116 12318\n7411 14531\n8639 18029\n7353 13269\n808 15138\n20249 20255\n2465 9786\n13716 14308\n9419 11717\n6420 12838\n3174 18525\n2416 7436\n8214 20007\n18879 19337\n12448 17721\n8118 10670\n5851 9756\n10274 16231\n9090 14033\n10851 18822\n10403 19601\n891 4857\n3936 20260\n15208 15498\n3179 13281\n4651 9621\n8809 14627\n4046 9119\n8283 18662\n6037 15787\n7483 7566\n15020 15605\n7839 18449\n5286 13488\n4180 10006\n3602 19631\n7530 14880\n13623 15914\n10198 15119\n420 6312\n18042 18275\n409 5006\n3894 11589\n4496 8019\n8398 9559\n1857 17048\n5020 6440\n4813 7776\n6904 13480\n9526 16124\n1429 3742\n324 17386\n8913 14918\n4201 16465\n881 3772\n41 1658\n17465 19789\n13092 19333\n5881 14120\n16755 16873\n1987 14208\n3559 10981\n5547 14304\n10409 14177\n12795 20022\n4822 11922\n5354 5460\n4811 16673\n4843 5582\n6378 7321\n9593 15956\n9954 15801\n4183 7585\n2490 12967\n8761 14822\n10266 11601\n3293 14003\n6821 8077\n7477 12975\n18263 19326\n6579 9723\n546 7357\n4040 12542\n7384 7386\n7343 20188\n12308 14020\n4812 11917\n5820 17448\n10164 12487\n7084 9132\n6701 10445\n8100 19066\n3730 18303\n7903 18198\n3023 7624\n4168 12942\n13887 15646\n3377 19682\n763 2012\n5470 12999\n11469 12136\n13062 18845\n6648 19849\n5507 18823\n419 6618\n9883 13006\n11756 13121\n334 15309\n766 15261\n2990 9224\n1363 3970\n2830 8494\n1493 3810\n7769 15740\n15370 17631\n14202 19450\n19204 19736\n14827 19850\n3257 18687\n4319 5302\n5514 8569\n2960 12877\n17670 19339\n3070 12288\n7090 17614\n8905 13674\n1672 17096\n9055 9990\n1238 13978\n11522 13055\n14527 17797\n4703 7944\n2815 16318\n8281 19829\n3170 12032\n10339 14672\n12963 14532\n7193 19834\n573 18471\n4703 7500\n2864 15587\n5364 6595\n3765 12683\n6809 12373\n6987 10080\n13678 19223\n16918 19175\n12073 13880\n2717 10053\n8596 16373\n18889 19962\n5742 8271\n3623 6354\n740 3103\n13289 20092\n14335 20015\n2147 12784\n1629 12091\n2022 18349\n14994 17571\n1054 9012\n8170 16307\n11686 13890\n10182 11812\n3064 14662\n4233 5020\n4353 15215\n4962 10790\n14896 15859\n10613 11994\n9960 9966\n14289 17343\n13056 13621\n6892 12007\n4796 19766\n15148 17205\n16160 19639\n15745 17010\n6734 13712\n4320 15324\n4425 6949\n3339 5231\n2283 9930\n6038 9389\n7858 19418\n7128 17206\n11869 17124\n1823 9560\n2633 11310\n13434 13769\n10441 13407\n2766 9721\n2747 4891\n877 12081\n4616 16836\n8235 17708\n12284 14157\n9725 11989\n4954 16281\n4290 16719\n1984 19119\n1417 4089\n1141 17247\n10998 13242\n9105 13252\n12655 18115\n7106 8460\n4826 15664\n15126 15906\n10327 17670\n4497 10301\n1568 7919\n2114 3828\n10421 17649\n6874 12166\n2077 5728\n4759 10265\n12689 20110\n4112 20005\n14404 19373\n10295 17764\n3658 12380\n11191 12100\n4300 8443\n10410 11226\n3486 6587\n11017 14827\n997 17239\n2484 6783\n702 17871\n1361 3278\n3513 4574\n18218 18874\n4918 10397\n2496 12274\n16840 19781\n343 7949\n179 2547\n1279 14495\n8547 9854\n8265 10091\n9599 11080\n8963 15873\n2322 5701\n5143 14883\n11203 12195\n19504 19743\n6814 9927\n7230 9913\n16218 19755\n4679 16179\n2206 3314\n10911 19453\n929 16504\n771 8412\n4316 16821\n6774 7539\n9819 18603\n10650 19854\n9466 17433\n10344 14600\n12294 12610\n9965 16219\n12406 17856\n1913 1975\n5161 14691\n9148 19471\n3116 7126\n13101 15585\n3705 6099\n4634 16105\n5556 17074\n7700 14072\n341 5981\n13909 18860\n12998 15373\n9906 15471\n4472 4637\n2411 13388\n6931 9735\n1436 10774\n15576 19611\n7647 20184\n2003 12223\n2665 6050\n1586 11258\n4278 5092\n2551 15098\n5762 8300\n2374 15902\n15600 15812\n568 15775\n7714 14870\n14015 16511\n10178 14386\n4341 15308\n2724 11237\n4517 17319\n1551 6369\n4519 10951\n14256 19830\n8668 11211\n3524 7711\n5953 6397\n5508 19832\n9458 15776\n14600 18501\n2523 13127\n3330 9087\n16317 19557\n5402 14207\n3563 15631\n9970 13665\n1927 6830\n4299 8699\n13943 18216\n1005 12385\n8049 14985\n6016 17601\n9288 18954\n12754 18776\n3186 16326\n2081 6129\n1353 7561\n8092 12703\n9886 15440\n4878 13468\n3892 6101\n12784 18454\n4970 17698\n961 2474\n2669 3876\n4795 17462\n3199 18871\n12385 13330\n8961 16649\n10678 11625\n15240 18361\n10622 11691\n15831 17342\n116 8708\n8624 19693\n116 3032\n4532 14824\n1185 2784\n3371 7007\n4374 17585\n8932 13501\n4711 7395\n2095 8619\n11862 17755\n8807 17643\n11777 15351\n16327 19738\n15458 18589\n14412 19898\n1399 18283\n7337 15629\n1183 2955\n10969 15185\n8741 19939\n3255 7081\n3580 6499\n3719 9792\n4941 15440\n9246 18280\n2442 5014\n8643 10363\n266 19824\n1319 11254\n6955 9708\n7958 19421\n3910 7936\n8919 18870\n16112 20202\n7034 11432\n364 17057\n1704 10717\n2785 17781\n10425 10997\n4665 17416\n4912 17863\n10612 11089\n13136 16370\n5412 17749\n4038 12081\n982 4681\n7427 18010\n12161 20014\n10442 20176\n1739 7819\n7070 10844\n1728 19601\n4361 14976\n16400 18348\n2400 4079\n11050 12179\n7554 17683\n11969 14882\n433 6339\n4069 10249\n3920 15491\n16632 18587\n3066 8858\n2695 4524\n1251 3572\n7704 17334\n4433 5794\n4725 9859\n8342 16297\n8654 16530\n948 8156\n3142 13774\n11294 13105\n4525 6514\n5548 11627\n13969 15651\n1464 13854\n11828 13041\n11228 17217\n521 6023\n6626 16691\n2685 3623\n12806 14064\n3738 16275\n15354 19301\n5572 13422\n9888 15852\n3253 13344\n2314 11108\n3586 12791\n1452 7742\n9474 15407\n440 8551\n9979 15432\n9065 18146\n9319 18138\n12409 18875\n8574 16167\n941 14146\n1199 6986\n6306 7192\n3692 5718\n3955 14599\n6875 19806\n1383 16434\n2785 17162\n2191 13559\n6650 15054\n18599 19907\n12295 19643\n7021 17850\n6580 8783\n11858 18532\n3350 17281\n1220 1253\n3628 14360\n8876 16840\n5478 17125\n6618 15551\n37 20234\n1740 2855\n8847 8965\n3608 5299\n9708 17027\n2491 12495\n2079 9442\n2583 13843\n9608 18453\n13907 15937\n892 9236\n3124 18238\n1541 12070\n2469 17121\n14667 16126\n1081 9089\n8254 11084\n1377 8486\n6650 11846\n2145 6353\n230 8108\n13306 19354\n17564 18606\n7089 11046\n50 10894\n3150 18839\n12951 18296\n7235 15216\n11177 19836\n15303 19490\n160 7302\n13209 13670\n798 10435\n5014 12724\n4676 16186\n6724 20178\n2136 16802\n7372 18103\n7403 16420\n1827 18838\n6301 14400\n5623 17078\n7729 15296\n2295 4913\n9743 19924\n2530 15486\n1066 8349\n15842 18238\n14371 18203\n14335 14717\n11328 15163\n12125 14471\n9 18071\n5685 13637\n4251 9849\n3378 9810\n7707 13285\n405 12853\n7284 12584\n999 7632\n17619 17868\n14646 19382\n13913 14058\n3266 5349\n6830 10062\n5592 17383\n10903 11338\n1064 8002\n6106 18082\n4405 17704\n2911 10752\n3612 8661\n5854 11228\n8685 11068\n7057 18954\n7651 18193\n673 12784\n14799 19690\n600 8524\n3036 9908\n735 15612\n10097 11681\n5631 19416\n5069 12086\n9490 9653\n13403 17133\n3227 4608\n180 11829\n440 8038\n467 6179\n547 10444\n2856 14306\n3864 14222\n1196 15981\n9161 9807\n1049 3866\n2116 3832\n8649 17106\n2256 7273\n3597 15729\n4360 15711\n2205 2991\n4767 16053\n16526 16631\n5113 14314\n13278 16804\n11783 14172\n7319 9809\n431 11985\n1231 19134\n16698 19572\n10897 19582\n6360 9498\n5056 7090\n5747 6040\n7296 14296\n8130 17652\n7409 13378\n13822 14809\n8957 15818\n2928 18326\n12892 15326\n13062 18335\n14807 16396\n2658 9509\n8855 15170\n1306 2835\n3192 11932\n17271 18159\n15063 18622\n440 19958\n12092 16344\n2268 20253\n1972 12997\n1343 7256\n5494 17683\n5612 13816\n6486 7507\n6240 7002\n13436 20174\n573 5828\n4135 14102\n400 13632\n12874 14302\n13035 16462\n9399 14961\n1551 5153\n11775 19659\n13330 17189\n3755 8939\n4894 14703\n5044 10819\n4724 12726\n7441 9774\n4944 8357\n2134 16298\n11074 19016\n6458 13267\n8662 12677\n7995 8454\n10299 19343\n15088 18980\n7456 17462\n8575 14580\n2026 16616\n2640 14438\n193 16226\n6427 17957\n830 8096\n1032 17119\n18114 19099\n2130 16786\n3142 10527\n11688 14730\n1268 15236\n11317 16351\n12820 13477\n6223 12801\n3515 17704\n15543 18452\n13888 16712\n5202 7634\n18481 18528\n3609 13669\n12565 13190\n5796 9534\n9093 10338\n8927 19341\n5507 18663\n6788 7121\n5655 6944\n2515 5981\n5284 11349\n15945 18112\n7560 8316\n3567 6048\n6380 10641\n1736 17179\n14293 15576\n3711 16904\n2365 4152\n741 8128\n4608 16685\n15136 15849\n4075 11042\n3867 11207\n1730 8381\n2931 3746\n12109 13938\n14361 17172\n1331 3384\n5642 15187\n6653 15065\n2269 10313\n17479 19452\n9252 16610\n1289 2117\n8343 8453\n7232 19109\n5313 15357\n5568 11717\n9093 9709\n1157 15563\n2348 10119\n16873 17919\n8045 12243\n479 3277\n6611 12468\n6798 9610\n3919 13608\n4383 4889\n4517 10786\n9661 14075\n8884 15008\n4384 17734\n10500 13306\n3230 13360\n1220 11475\n9886 15164\n8267 9877\n3547 7388\n9261 19114\n2542 16466\n15211 17296\n3722 13014\n2281 8205\n4487 7247\n5383 10485\n15686 19790\n16331 19171\n6765 8282\n12289 16234\n5836 8441\n5939 11427\n5068 10178\n2919 9472\n4570 9480\n1013 4988\n10257 19901\n6216 16250\n16457 20281\n282 15566\n2309 15084\n10796 16155\n18812 19642\n5871 19805\n11200 14619\n779 4585\n16168 19690\n12834 19995\n2993 15052\n5112 9878\n2061 3252\n4852 20041\n1614 16579\n3354 12083\n1212 17753\n1471 5371\n5924 9053\n10195 20009\n14260 19766\n4497 9420\n3183 18810\n14464 15010\n5005 13948\n5263 18161\n3506 4838\n13201 17284\n3975 6894\n8912 18792\n15517 16389\n8673 20223\n14263 15351\n2599 17961\n8397 15909\n15258 19083\n4602 14490\n17614 17679\n14025 17772\n10004 12928\n4660 13118\n1565 19463\n4045 16563\n16420 18181\n3411 19963\n14893 19716\n624 3403\n14604 16335\n8204 12472\n2185 3789\n4802 8801\n9517 12744\n3748 15854\n1161 5415\n3850 4306\n502 10597\n2356 16245\n16948 20232\n3672 12293\n14758 14806\n1389 6412\n10405 17760\n17209 18761\n976 16389\n1168 8953\n9564 15818\n6713 8561\n3974 12337\n8070 16729\n4631 9468\n2947 13243\n1683 13248\n6423 14600\n8918 12770\n5624 18451\n313 5427\n14076 18254\n8962 13095\n14722 19774\n315 781\n3732 17131\n306 8193\n15803 15909\n16892 17173\n6515 13852\n1500 16478\n4584 6371\n1037 15312\n5101 16701\n5559 18690\n4439 18907\n9178 17773\n6206 6746\n3247 15186\n5789 17965\n9805 14100\n91 376\n3550 7037\n1093 1852\n8807 18123\n9420 10394\n11259 16353\n10451 17340\n295 2361\n16645 18218\n6483 16688\n13731 14562\n2883 11394\n2090 18445\n4515 13015\n4773 5433\n4523 5303\n6073 17994\n1905 15375\n7710 17227\n14176 19180\n10469 12850\n1547 15390\n1646 14733\n98 12705\n15616 17057\n6195 17333\n10798 18087\n16572 17990\n2559 18119\n14751 18053\n556 19369\n6568 8361\n2320 13959\n5194 11485\n12775 19848\n5899 8217\n8935 14566\n11201 19491\n8859 17983\n8075 13804\n1093 8942\n6301 8626\n7532 9843\n13099 13746\n12341 12741\n1966 15645\n12099 12574\n4453 6033\n12028 16564\n4194 13946\n409 11940\n14482 19431\n304 16780\n7399 18900\n9795 14661\n4203 14655\n14389 18835\n3314 15071\n8779 10007\n4940 9244\n11323 19187\n5888 14502\n1182 17772\n8792 18346\n2228 4014\n3148 12054\n12107 15177\n1216 2520\n5713 17908\n9078 11830\n1847 4328\n3157 13689\n11621 18076\n795 17582\n13651 19009\n8041 12583\n16851 18857\n1663 19696\n510 3588\n4573 18333\n5914 8811\n12169 12208\n12378 14645\n8208 14112\n17136 19786\n1696 18923\n6931 14306\n5346 9780\n14266 17629\n12470 15469\n1732 9262\n18412 19438\n1415 8220\n1370 18176\n3147 9665\n5889 8718\n3417 10961\n1039 14331\n13535 17373\n2301 2687\n5098 11881\n5559 18673\n5960 15319\n3580 7128\n6694 18057\n986 16896\n2532 15700\n14177 17451\n2529 4167\n941 2398\n10007 18385\n6394 8314\n1535 3547\n7334 17565\n1067 1196\n8026 16530\n11264 17348\n1874 2410\n1259 16886\n560 4402\n16711 17694\n6395 19530\n3531 12009\n3024 16404\n8640 9278\n3030 13882\n3009 4827\n12949 19662\n7052 9232\n7388 8054\n11715 16678\n3839 14142\n2389 6603\n5626 8986\n8198 18424\n15067 15913\n12977 18304\n12317 12447\n1829 5295\n18560 18578\n11232 16535\n7834 18037\n5003 9768\n2877 5905\n12748 17433\n2168 18697\n10030 14464\n4068 7913\n2895 17133\n1198 19343\n111 15765\n5531 10249\n465 3486\n8527 11692\n3324 10840\n11658 19778\n13599 20112\n10517 18651\n7760 19564\n5554 19246\n7405 16047\n2522 10385\n5733 16119\n8228 11226\n6593 13693\n7979 14749\n90 6950\n6621 11841\n9253 19945\n3071 20039\n2189 14284\n5248 7137\n5591 15662\n10961 14614\n4383 13026\n2225 6977\n243 12792\n1204 10845\n1193 5201\n7679 7693\n2767 9789\n17302 19080\n7265 12052\n4045 12091\n16651 18197\n7879 17679\n8658 15260\n6218 18249\n3232 12033\n1939 6721\n6797 19139\n4980 5472\n2037 4956\n6884 9844\n4056 5703\n13991 18464\n7719 11725\n9693 18398\n1866 17307\n9826 15729\n10072 15138\n6155 7069\n918 5437\n4164 15127\n6959 19890\n7908 10128\n8981 10370\n3816 15714\n2328 13472\n9530 15645\n1502 2132\n3330 18609\n13598 13663\n8745 14890\n2087 16785\n8788 18419\n10216 13470\n1384 19897\n266 19256\n233 4055\n15861 16450\n19729 19973\n3956 8419\n11364 16062\n19251 19710\n15378 19663\n4247 5556\n8976 11543\n392 18487\n10641 13034\n2185 17022\n17787 19666\n12936 18775\n13 7780\n3270 16778\n8129 14931\n217 3947\n7418 18371\n16989 19056\n3210 7997\n6849 17205\n873 17139\n3085 7916\n1996 19164\n7046 10686\n15524 18679\n12480 18952\n2756 7217\n5920 12764\n3624 16112\n1344 1872\n4002 11769\n13267 16577\n11457 13942\n5832 17067\n4993 6339\n772 7742\n15824 17444\n3516 5863\n10870 12782\n11309 19572\n3812 19091\n8000 18760\n1521 17868\n7523 8814\n12685 16808\n7849 19401\n11050 15589\n8800 18055\n4829 16729\n13084 19527\n17721 19160\n1672 10050\n2445 15228\n14463 19915\n3402 18506\n8025 14344\n13137 15616\n14626 17895\n5025 14232\n6552 9642\n4022 4771\n5481 17997\n1557 18868\n9561 16897\n5322 15762\n9900 11731\n1643 4674\n15094 18058\n11214 18061\n3774 11467\n6604 6787\n14969 18593\n8181 19896\n13655 16214\n726 19116\n4228 4369\n7401 14408\n308 12907\n12048 16314\n3916 4654\n11057 12047\n4163 5014\n5441 11828\n18160 18285\n5877 16516\n3638 3832\n1556 17783\n10174 11184\n14533 19460\n7714 7943\n1303 1907\n3724 12251\n8870 16879\n13444 14615\n5659 17473\n1376 5496\n7163 16368\n12041 13375\n2000 17625\n6075 14068\n5970 11286\n4068 8088\n6997 7764\n11126 15800\n8094 17366\n11545 13729\n7140 12283\n975 16087\n6771 17688\n12334 17317\n2433 5963\n1332 19498\n11163 11810\n3575 19978\n3941 14833\n14038 18407\n6668 9487\n5665 8709\n6922 15420\n1178 15952\n6354 17787\n8548 10053\n10875 16272\n11227 11880\n6371 13136\n4108 12478\n4953 8660\n14769 15712\n10627 13371\n5072 11902\n10739 13792\n2192 8682\n7 11871\n4096 15149\n8978 12549\n10587 12250\n14932 15353\n9278 14291\n9184 11548\n6321 8779\n12611 14033\n11464 17829\n6681 16342\n3568 4255\n8874 14196\n1975 5061\n3316 5507\n7713 11690\n8582 13228\n470 5989\n11229 19640\n667 6212\n1421 4023\n1296 19516\n12536 17803\n4908 19547\n15068 19929\n3033 9107\n3086 7714\n5050 18794\n10611 16899\n14773 18017\n11369 14231\n1609 10001\n14384 19957\n15984 16142\n4105 14619\n7701 18678\n5581 13732\n7128 16710\n10721 12003\n1050 15230\n15536 16153\n11509 17858\n6614 12808\n3844 14639\n9170 18710\n2371 4295\n11073 13388\n13405 17029\n860 3011\n2 6818\n12524 15245\n3275 6036\n2015 11455\n7781 8368\n4746 12932\n195 5836\n12246 16933\n4884 17370\n9309 19734\n3585 8261\n1250 12551\n5616 12464\n11745 12418\n7224 10643\n8805 19991\n11273 12447\n155 13263\n5214 9049\n894 19006\n1990 18600\n15433 18537\n7606 16278\n1888 13764\n2331 4029\n5059 8537\n658 4062\n11372 19635\n11719 16036\n9577 18674\n2360 15321\n3861 11758\n146 438\n11712 19142\n3755 6544\n4489 7491\n10085 15810\n743 6835\n92 241\n2028 7798\n8384 19730\n13266 15604\n13274 17483\n1138 11282\n15612 19367\n9808 17092\n3649 18007\n4587 10566\n4384 14787\n7383 8472\n10497 15035\n7016 12415\n3585 3857\n8456 20138\n8079 18238\n4154 12110\n10734 13368\n9260 12171\n7091 17943\n2801 19375\n11051 13842\n9554 9688\n7771 9344\n9852 18302\n2974 16714\n4250 5901\n10359 16271\n8268 14365\n2794 10585\n907 8566\n806 4664\n429 1012\n7856 16809\n3711 16147\n4509 9508\n9551 19838\n5977 8232\n18546 19366\n3645 16140\n6746 18769\n1386 5952\n1166 4335\n13397 20191\n4307 17760\n1671 3578\n2676 13237\n3765 5148\n1335 17869\n10025 18313\n130 10422\n9031 15538\n7024 10685\n339 1815\n4924 8992\n6068 14427\n6910 19868\n5442 11711\n288 4211\n7145 18259\n2263 18019\n2560 3333\n118 14841\n6841 8787\n17403 19992\n11461 16799\n3450 12926\n11395 12377\n3696 11553\n14331 17988\n8246 12242\n11470 13365\n1892 6344\n2422 14194\n600 11340\n3577 16281\n6183 7252\n7430 11826\n4009 17063\n7906 15036\n120 1597\n586 13686\n7153 15960\n2453 11522\n6929 15593\n7145 13861\n3657 6277\n4395 11994\n8573 19590\n820 5734\n5129 14355\n10252 16107\n2093 15880\n90 16337\n2578 18855\n7020 9662\n3816 16585\n3732 9539\n16590 19961\n17139 19935\n7273 18861\n3539 3824\n14580 18215\n1509 7022\n4630 10134\n510 18013\n15850 17724\n9315 11156\n7301 18123\n8313 18420\n2197 17128\n17334 17518\n17912 18667\n7475 13074\n980 3079\n19083 19298\n10464 19964\n830 11247\n1199 15837\n424 1586\n832 9814\n3414 8214\n2268 10357\n4210 11437\n9704 12961\n1290 8709\n1789 10062\n14292 16579\n407 15546\n1377 15253\n9376 14881\n8470 15777\n19158 20195\n12682 14115\n15377 18701\n3687 4896\n6671 18952\n2414 7103\n3822 11348\n9802 11910\n10086 16981\n2874 13826\n7480 10695\n14216 15262\n1935 17239\n7327 18141\n2756 17936\n13649 17923\n10347 15755\n6911 14017\n2670 17412\n11162 12712\n2774 9034\n10266 14567\n2027 6923\n5224 5551\n2688 18235\n10577 14144\n4192 19838\n9247 15091\n14615 15876\n4211 7926\n11487 19451\n127 9492\n1770 15942\n10341 14343\n5313 7421\n24 13020\n486 5884\n5346 19857\n7181 19258\n4408 11416\n2261 15589\n13969 19692\n13424 18173\n8418 19755\n8940 18813\n13829 18467\n12811 15968\n10004 10969\n9083 13241\n7950 8937\n7873 10788\n5911 14895\n1884 7150\n17809 19942\n2137 4274\n11996 13014\n9367 11651\n3099 12568\n17439 18642\n7985 10882\n16590 19771\n1877 5314\n3610 9635\n8628 15175\n12535 15007\n6620 18824\n9948 13838\n4841 11356\n2692 3912\n7631 8914\n2690 4014\n9700 14232\n13212 16948\n12805 16945\n119 18739\n13655 16454\n7726 8953\n13671 16331\n4662 4765\n2266 17140\n8725 18001\n12 12341\n5858 9103\n9687 14422\n12057 13170\n1831 16139\n12723 19273\n4858 19453\n10532 15487\n16125 18020\n8194 10260\n1057 19479\n3956 16555\n19290 19924\n8876 10495\n2970 13721\n2330 8915\n4135 6810\n8160 9669\n6028 12416\n7707 10594\n4535 11851\n9312 13228\n9572 17942\n7859 18853\n357 17822\n10591 16320\n1601 9066\n3172 4274\n810 8005\n1216 1821\n3390 6217\n7469 12312\n8065 11512\n9488 13900\n10858 11312\n15986 17502\n9712 16784\n7661 18377\n14369 17075\n1566 11007\n1672 6578\n14390 15863\n3443 14512\n6947 14764\n8503 19096\n3971 11577\n90 15478\n12874 15157\n9703 17851\n195 20167\n834 11760\n12733 20276\n5565 17118\n1793 19920\n9404 16406\n14864 17195\n7089 19426\n10322 14475\n8071 9060\n3322 3950\n14207 16931\n9347 14824\n8621 14478\n9522 11568\n11137 15287\n8043 18453\n11371 14474\n8178 13462\n11539 15242\n1216 18531\n4848 14241\n5915 17599\n9963 10272\n12514 14183\n16176 16942\n9157 10533\n9532 17930\n1625 10260\n566 16002\n6442 15695\n14298 17452\n11244 12262\n2007 12509\n4694 13539\n9562 14291\n1082 1831\n11261 12046\n771 8047\n8571 14794\n5131 9852\n2309 2545\n9059 14828\n4443 13862\n4228 6067\n10467 11356\n3970 16752\n6597 9210\n6587 11316\n16149 19217\n2410 17250\n10344 11977\n6380 16977\n10121 14013\n5136 16330\n3163 12406\n5591 18548\n1168 8670\n16278 16822\n11458 15321\n8827 9839\n19848 19983\n5678 17673\n784 5214\n5232 13211\n9952 14931\n8175 18913\n4084 16881\n3396 16699\n3128 6581\n693 9358\n7102 9216\n610 10633\n4776 16477\n6400 11805\n9143 13214\n5968 12806\n10288 17661\n10382 13969\n11391 13368\n12803 17710\n3088 15395\n4609 20201\n9181 18155\n5226 9961\n12595 16778\n12322 16115\n12707 16454\n13565 16880\n8554 15375\n12141 17510\n598 6231\n17323 17421\n17012 17396\n3524 17855\n2424 18840\n16846 17500\n6218 18587\n6902 19159\n2187 3722\n1963 5262\n2334 16012\n64 13666\n6896 14579\n13316 18824\n10726 19507\n4168 17569\n15247 19701\n374 10944\n14443 18493\n9569 18299\n8080 13414\n11862 19929\n3057 14868\n7505 12163\n10495 13879\n9901 20181\n15466 18916\n702 4014\n530 8576\n11939 14524\n2174 3334\n8074 15858\n8868 19690\n3518 13214\n5566 11178\n895 12789\n1131 17429\n10472 18277\n4345 13420\n5471 17840\n5509 12264\n7177 19668\n3766 9533\n745 3184\n1939 3343\n529 8078\n2712 18207\n5243 19913\n3781 10604\n1405 11504\n7325 13967\n18566 19913\n11218 17329\n8344 19333\n5749 6695\n17120 18869\n2741 14479\n9576 18255\n12417 16445\n17757 19725\n8572 13917\n9724 19618\n4041 11908\n11076 20165\n2089 16188\n5087 19872\n5680 20190\n15079 15927\n6236 10781\n11766 19163\n1215 1668\n18164 18955\n3277 15303\n4793 15277\n2223 8968\n259 7086\n3314 14519\n954 11793\n6161 11627\n10995 11169\n4849 9429\n8518 9247\n7709 18170\n8025 19351\n10860 14046\n4093 10433\n5111 5531\n3906 18634\n2127 9016\n1530 20164\n2358 8888\n17580 18531\n10354 19166\n5289 12058\n5829 7785\n8788 10522\n857 15911\n1134 18659\n5311 14801\n11724 16426\n443 9205\n6480 16581\n15789 17346\n2531 7509\n4945 16284\n8382 15038\n15865 17770\n10105 16294\n3869 10974\n3834 18106\n6326 19935\n2503 12879\n14099 19834\n7984 9841\n3792 15593\n16145 17617\n126 18952\n7272 11833\n7230 11729\n13006 14324\n8653 18887\n2648 14708\n17552 17574\n8044 9197\n8084 10557\n644 20204\n7424 12443\n9600 19844\n13149 17613\n13182 17751\n3920 10207\n8514 19451\n3765 9151\n12536 15560\n4066 11291\n12083 15809\n14677 20107\n5994 14489\n183 15257\n8871 15221\n8566 13245\n8400 14863\n9050 19575\n2380 12169\n14419 18521\n3545 16043\n11581 18133\n3795 14681\n490 2361\n4362 19436\n11660 18685\n5416 14473\n7392 18559\n996 17554\n2954 5009\n12135 19166\n3001 10614\n1772 14242\n10090 10951\n3791 14712\n13283 14912\n17661 18277\n13181 14990\n9403 9596\n12657 17133\n2023 3763\n11225 13507\n6688 13447\n12358 12666\n2537 16053\n12781 14156\n872 9572\n788 15092\n7096 13311\n5387 10090\n13581 16839\n14252 16865\n390 17492\n1024 14963\n17157 17309\n10020 14614\n5243 15969\n602 4655\n5930 12462\n3513 5135\n747 17623\n987 1314\n5760 7785\n10993 13355\n2241 12153\n15573 17983\n16935 19545\n491 13432\n7483 11301\n15338 19798\n6658 18858\n409 15814\n9999 16365\n5769 14243\n17208 18272\n3026 20127\n1684 15318\n7741 8639\n3169 10388\n8273 13789\n7737 12631\n7531 12522\n1935 16402\n2290 16498\n9288 13726\n3724 3774\n1164 9766\n1485 2624\n494 20173\n14567 19550\n679 16495\n473 9940\n1121 13138\n3320 6934\n2446 15593\n8293 17290\n3547 14141\n15430 15681\n13203 19260\n6103 19617\n8252 16244\n5593 13020\n7429 9087\n7061 16009\n11502 15472\n2814 15455\n1472 17550\n3335 11830\n11428 19107\n14906 17292\n14776 17226\n4489 17280\n7841 14814\n8665 16367\n8191 17323\n973 19229\n369 9238\n10851 19342\n11777 17919\n11370 15544\n14683 18399\n4742 11981\n6532 10263\n10194 20231\n7252 13401\n16867 20262\n1900 11678\n13487 17739\n14 15023\n2784 11119\n4447 18648\n5829 16206\n12058 18430\n6227 18063\n7945 14289\n5052 12355\n4786 7323\n6109 6506\n7525 10858\n4010 15002\n11332 13201\n6741 10784\n4172 14489\n233 10395\n15225 17010\n5873 10366\n3786 15520\n8691 17886\n3898 10983\n13613 16086\n13149 19415\n257 18073\n4054 19514\n2317 10235\n9555 19024\n1090 7264\n14130 15003\n5413 10669\n5695 14111\n13386 17535\n9908 18572\n454 14102\n3065 12177\n3923 12510\n8505 15665\n17703 18301\n14808 18612\n15774 18398\n15540 18079\n2956 3057\n225 5755\n10671 19586\n7759 13616\n6606 19334\n325 14194\n3212 12118\n9200 12148\n4434 8798\n8414 20179\n555 13780\n3818 10780\n9761 20196\n1495 4407\n10616 18799\n2727 7512\n3174 15404\n1555 11397\n13784 13989\n806 15379\n1717 19100\n12081 15843\n2566 15226\n2043 7759\n17446 17994\n380 12245\n6680 18374\n3165 3802\n9406 16403\n17718 18416\n8985 10437\n61 13005\n2837 19158\n1700 14540\n3620 5336\n17861 19016\n434 6806\n10738 18271\n9668 15249\n1766 17278\n9811 19490\n16460 17719\n12109 20208\n46 15578\n9840 14899\n11540 13994\n6453 20109\n9962 13823\n15297 19188\n7732 8677\n6910 11994\n2779 12015\n10621 12455\n1357 8059\n7604 13867\n766 16277\n4637 20058\n12671 15942\n15227 19840\n6168 11890\n3691 14041\n5110 8147\n2591 4038\n9624 11804\n3726 14681\n2941 15913\n540 3504\n6293 10432\n11025 16833\n5375 13337\n13661 19454\n14432 15391\n10804 19802\n11385 18204\n9189 19468\n7173 19215\n762 14695\n6943 7395\n3221 13654\n8042 16196\n1037 17895\n11585 12102\n2198 14926\n4749 5829\n3933 17909\n1876 16273\n7644 16952\n7507 9502\n12376 17069\n5890 17361\n16627 19221\n7032 12457\n5563 16814\n2407 8593\n5421 8364\n9679 11958\n12042 19217\n12088 12721\n11228 16701\n5544 8650\n1466 5129\n4727 10409\n473 2291\n8341 8620\n8174 9890\n7722 12184\n3443 15551\n1034 9952\n17352 18736\n893 18126\n3729 18693\n4918 13065\n3591 4539\n4941 5579\n1422 2615\n1426 13683\n10884 19074\n9648 14615\n11898 18355\n4116 15048\n7391 9097\n5987 10330\n247 5792\n4249 13076\n2432 15798\n5348 17480\n2821 19508\n3418 19780\n12490 12909\n8040 13309\n298 17865\n10164 11772\n3896 7524\n6752 15049\n6748 9672\n3109 11575\n6899 18694\n4509 5319\n2257 10542\n7635 19974\n5055 5379\n4740 10523\n12363 16154\n901 14267\n3429 18383\n7772 20044\n16340 17724\n8157 19888\n4858 13930\n13566 17801\n5137 10606\n1782 10791\n1737 6970\n14611 17038\n1791 12818\n19570 20260\n3811 10938\n13205 17580\n1941 3927\n6187 18491\n8737 12518\n2600 9576\n557 8572\n12141 19832\n14263 17536\n10074 10648\n208 5133\n6780 19864\n6164 14030\n12702 13865\n7505 16820\n12627 13658\n7728 14619\n2965 7595\n9215 17071\n10264 17721\n7484 9378\n503 17820\n11441 16086\n8418 9467\n4777 14755\n3002 16376\n740 10538\n2541 5594\n3705 6854\n744 11542\n9846 10577\n12095 17077\n9566 10503\n9826 10571\n12226 16231\n4904 13163\n463 10218\n2675 7395\n9298 12232\n15821 18179\n11778 19419\n4866 11189\n1024 1464\n8884 13866\n1544 3887\n4846 6124\n12592 19377\n4240 11202\n12118 14604\n17903 18556\n7947 11012\n16847 20056\n15174 19584\n7233 10473\n5616 8713\n12944 14210\n2447 14330\n6778 15887\n3944 9830\n1360 3622\n5537 6972\n6444 10240\n14646 16010\n3949 14500\n3426 8289\n4349 13483\n5203 10433\n3889 12231\n8195 13910\n7604 19298\n3825 6510\n6484 16899\n9656 15039\n12880 14407\n6994 18461\n2752 13779\n1797 7060\n2264 3903\n6613 17084\n4475 8777\n4433 9900\n2319 4399\n3187 19263\n4598 14360\n12693 16099\n2850 14338\n7577 19661\n8188 19159\n4204 13248\n1607 13519\n1078 7464\n1690 11447\n12590 17721\n17058 17671\n6868 14448\n14871 18314\n13803 16311\n4831 13645\n10514 11113\n10603 19572\n993 4115\n10155 11131\n2306 15599\n5110 18893\n1147 19798\n2934 11389\n10952 14859\n2596 13348\n2470 8003\n14279 16794\n836 7241\n12854 14137\n3311 20008\n5869 16310\n982 19151\n18392 19755\n19109 20222\n2771 16822\n1111 12401\n7707 8554\n2291 13346\n632 16850\n5420 14848\n2387 8637\n13642 15537\n4665 13251\n3683 16271\n2537 16421\n17217 18097\n2064 11883\n1732 8748\n5817 18263\n6661 16458\n2994 10378\n4 1749\n8112 14917\n12348 18352\n3908 12074\n6205 6317\n2390 4674\n9600 17151\n1573 15441\n2472 18324\n15789 16997\n1374 11561\n3257 13777\n4936 18952\n4849 8828\n10847 11417\n12285 14764\n10503 11878\n7806 19890\n1908 6583\n2724 6592\n4989 16176\n3552 8139\n6468 10691\n3139 19886\n6035 14514\n3043 10977\n6890 10634\n7032 14206\n295 13487\n17783 18976\n2902 9100\n600 10750\n10080 12229\n13092 18748\n3736 16971\n777 14266\n3041 5151\n3790 16539\n1084 1266\n831 6221\n967 5304\n9742 11268\n6251 13168\n4976 12926\n4438 5234\n12531 16211\n4928 9742\n13223 13929\n18536 19028\n14941 16166\n14623 19850\n11286 12713\n12029 15187\n5302 7257\n6360 18236\n3571 3590\n6925 11627\n3729 17474\n4047 15952\n16790 18522\n12899 15146\n5006 13090\n13602 17871\n9334 11347\n17538 18039\n2580 5564\n1875 14030\n1181 19947\n5245 15186\n6878 13238\n3408 19519\n13584 15591\n19346 19403\n913 1634\n7624 15025\n14520 14977\n11662 17704\n12294 14902\n16262 19494\n1311 8474\n8153 15689\n5227 11467\n6160 16496\n6291 18336\n1450 1545\n6653 17091\n6727 15121\n11004 19448\n9574 11459\n20 19698\n6041 9804\n16707 18446\n8809 19382\n2254 2568\n19617 20093\n6161 18523\n8017 9577\n13747 19293\n11863 12415\n17437 18816\n7353 10153\n15072 16087\n5014 5691\n13987 18260\n10689 13553\n9627 13079\n6512 14539\n3201 3261\n16116 17600\n17821 18761\n7834 12175\n18273 19570\n4406 14956\n6039 14020\n5227 14899\n7946 8302\n333 7921\n14937 19940\n1613 16829\n6406 7336\n489 3195\n2740 6150\n10641 18798\n1755 12301\n1926 12778\n6417 6896\n2156 3214\n445 14258\n9298 13001\n14379 19013\n523 15535\n27 15731\n6938 12159\n13960 14920\n8218 13803\n6769 7103\n10116 12680\n3634 8323\n4915 17825\n13865 17790\n12462 19014\n2676 13652\n7502 16134\n19239 19771\n7860 11133\n7915 17495\n2364 6515\n5149 14514\n12377 20119\n724 16968\n6191 7745\n1053 8877\n5665 18652\n9918 9990\n2377 15060\n3735 14286\n6645 13968\n1364 7782\n7650 10744\n897 14872\n3476 19645\n3078 6176\n6695 19189\n2795 8633\n13598 16738\n12732 19487\n11809 12227\n1873 4049\n16627 18980\n16012 17019\n9533 14856\n13558 19093\n10141 17768\n811 6262\n5187 19618\n7976 16256\n3761 7254\n9007 13289\n3747 4698\n10801 17025\n13980 15067\n9624 9879\n11818 16123\n4978 8648\n7898 16450\n7774 14830\n13079 16847\n595 7778\n5071 9495\n13975 17136\n115 17756\n3995 18005\n4007 15803\n8702 19635\n3384 6532\n12650 12989\n8333 8459\n1283 2083\n4290 6589\n8886 14489\n1839 8217\n8476 8724\n2013 6184\n3904 9131\n1798 4078\n9294 11596\n9910 12115\n12320 15307\n13071 13929\n6795 10810\n9036 10813\n5374 9164\n2813 6064\n1201 18871\n5627 11004\n5112 12307\n5683 13616\n13164 16515\n7372 18257\n8592 14892\n905 15715\n14879 16820\n688 2327\n4202 16264\n2430 19516\n8162 9308\n115 1363\n17109 17286\n6702 11662\n4412 13164\n4387 9156\n9818 15024\n13556 19851\n1602 9542\n13911 19048\n7107 10708\n515 5144\n2444 11892\n10306 17536\n408 16317\n1627 11288\n14265 14534\n7747 10286\n13490 17557\n2578 3596\n5946 10171\n12542 15852\n6136 18839\n275 17332\n11488 12343\n3857 4501\n3883 9186\n7613 15347\n3180 15506\n8077 9824\n1980 9783\n9284 14811\n8203 12809\n7241 15395\n4987 16891\n2877 13599\n10904 17260\n1361 13445\n4593 9285\n10674 18040\n213 12256\n16525 16647\n9641 9953\n9911 12139\n9713 10359\n14024 16509\n12455 17812\n7661 18007\n1126 11068\n14827 19388\n10022 12212\n2660 16249\n5905 11636\n1572 11443\n7808 14379\n4623 6035\n1163 13078\n15084 17734\n719 1301\n901 11922\n13731 16507\n9362 10845\n3187 13071\n9983 11929\n1670 16298\n200 12839\n521 7161\n7285 14179\n3042 13230\n7601 16337\n2538 3998\n1464 4730\n3816 12761\n1344 5103\n7404 11284\n15282 18502\n2902 14261\n3118 14646\n3538 18281\n4550 13242\n999 4846\n7085 20107\n706 11743\n10884 17035\n7070 16823\n4976 12204\n9690 18568\n2598 5691\n8779 13764\n4547 15648\n2927 8545\n10952 14798\n6987 9620\n7230 16791\n3742 18689\n1864 8966\n9334 17677\n13906 19395\n12656 16373\n6388 12378\n4995 5016\n17498 17666\n9459 19300\n6236 19703\n1174 7193\n5842 12420\n3025 12092\n8144 18809\n7095 7901\n3859 9377\n9042 12159\n12709 17379\n8625 12670\n18628 20084\n13189 17568\n4479 9687\n2919 12853\n794 15907\n3100 15265\n8179 19689\n15805 16355\n1457 1628\n10318 19295\n9019 17215\n1766 6266\n39 184\n15523 17268\n3266 16348\n5525 8044\n8872 10349\n4677 9856\n103 15847\n3095 6164\n1848 17012\n4881 11494\n7482 11616\n5713 12221\n4105 18248\n8186 12895\n1423 15874\n8355 12148\n10523 13419\n4266 12957\n1929 19485\n9836 18700\n4506 13740\n11051 11924\n10971 18195\n4394 13562\n12774 20054\n2532 15050\n6960 9587\n423 10789\n729 19034\n4563 17795\n13374 18899\n1781 8442\n336 17354\n9915 15734\n1117 8025\n9366 12309\n3036 7477\n3511 18608\n4307 14094\n12855 14691\n2270 18245\n11389 19547\n10236 16788\n3543 7968\n11712 15176\n14308 16574\n668 4345\n5663 17642\n17366 18424\n16042 18854\n4594 8149\n8497 12243\n2095 9780\n12403 12673\n4736 9109\n10979 12310\n9143 11718\n11590 18320\n6095 16450\n3785 15195\n7050 12796\n15049 19060\n3518 5510\n3130 5248\n7136 14497\n6538 14144\n5491 15198\n3704 8444\n18831 19973\n14086 14577\n12439 13385\n7593 17136\n443 5441\n16227 19942\n4776 20066\n2262 10821\n12574 18294\n5250 6965\n1427 11418\n14076 19763\n780 5021\n3179 7481\n7438 17122\n6705 11723\n448 14852\n4651 17159\n2767 3751\n5913 6176\n2914 4015\n1437 5406\n6042 11243\n4704 19709\n476 8657\n1966 4446\n8844 14378\n6490 8018\n1499 17593\n3132 15644\n10556 12349\n6276 9875\n1049 2713\n1482 6906\n889 13800\n7249 7976\n9528 16149\n2838 11722\n5552 15776\n10871 15118\n3101 14529\n6732 19825\n9333 15870\n4478 6635\n2752 3460\n7773 9149\n7673 8312\n1376 18743\n9746 19898\n11191 19826\n1593 3447\n1250 11667\n7460 20055\n6728 17680\n14828 15714\n15796 18025\n6138 7077\n1436 14315\n3495 7687\n11864 14714\n8284 19600\n10649 18325\n12249 18798\n9022 11371\n3303 16831\n2794 11265\n921 10756\n1285 3653\n160 4519\n1268 5684\n5179 18930\n2674 9485\n16310 17068\n8450 11184\n4851 18495\n50 5779\n1182 1583\n10362 16672\n907 13904\n830 15597\n18107 20204\n9031 13077\n14911 15329\n7840 13183\n15673 19050\n14083 16599\n2021 5182\n1008 10603\n7097 19938\n3129 10125\n5595 14239\n10269 19380\n10074 11154\n11076 13845\n9383 11433\n2648 7053\n10634 16022\n187 3362\n2898 6848\n7099 19975\n19267 19654\n15290 16116\n15634 18828\n2658 13474\n731 10476\n860 19972\n5328 5874\n9025 13358\n6217 18678\n11982 15452\n1791 12568\n12340 13820\n14208 15445\n1284 11256\n10002 13013\n2123 15971\n10648 14427\n1699 2954\n2795 3480\n3526 6906\n3915 17522\n2359 17076\n5736 13014\n3966 6440\n7601 11894\n6715 12464\n2820 16017\n1061 17230\n2653 12395\n12079 19308\n11417 20185\n8833 13688\n4737 16907\n13058 13490\n5020 17132\n2080 6209\n4696 12720\n5596 19573\n5744 6169\n1627 3224\n17366 18194\n7105 15029\n1434 14988\n7446 19695\n2217 3798\n11881 16357\n2457 9614\n2042 13760\n5010 13815\n5189 6381\n3842 13078\n4621 4687\n1108 7478\n2360 15737\n10092 10140\n6948 16089\n4264 8709\n10156 11487\n4091 6689\n8981 19166\n4053 15830\n643 13682\n773 18754\n8627 14987\n12943 14285\n11414 15189\n8723 14019\n4719 6170\n6627 19042\n17763 19894\n14628 15633\n181 18356\n14305 16609\n13515 17157\n1693 12878\n8374 14446\n522 19079\n12789 14809\n3463 12004\n7219 16195\n4373 13564\n9191 18357\n8442 13401\n4830 14786\n8119 11662\n4022 10461\n4773 7852\n11121 18785\n1652 13020\n3055 11377\n2864 8475\n6205 8402\n15357 15845\n2276 17259\n2533 12198\n5018 16080\n1204 6873\n18248 19305\n10151 11497\n987 10411\n5396 10345\n955 19130\n10264 18041\n6231 15016\n487 1979\n10220 10366\n6882 11606\n781 1323\n2073 18885\n1183 7276\n7105 12962\n6954 13147\n4608 9913\n7723 17504\n10131 12605\n134 10071\n15809 17188\n9064 12943\n15436 18512\n4248 9814\n8489 10835\n6358 15314\n5868 8423\n6180 13275\n2555 15460\n15249 19555\n708 16362\n8390 17871\n628 1249\n5030 13846\n13654 18188\n2573 6525\n2649 2827\n566 9543\n2239 10065\n2385 14552\n3763 16220\n74 1357\n1727 17992\n6473 11256\n9065 9644\n10142 19508\n2793 13522\n8431 10154\n3600 10926\n8153 17643\n2915 19643\n833 15192\n1611 12345\n1949 18932\n4348 18426\n10070 19465\n2042 15183\n8302 19446\n5781 16561\n2752 10158\n10729 18281\n556 2575\n9335 16107\n13335 19450\n3002 19830\n8610 11641\n717 4386\n2570 8664\n2740 17848\n3044 6468\n16879 18987\n11521 13421\n4308 12662\n271 8699\n1559 9636\n19129 19264\n8475 17193\n2624 11618\n4402 15320\n1962 14895\n9446 19968\n2912 18227\n3452 17196\n5897 17160\n4234 12174\n13131 17735\n5296 5390\n10709 18119\n14441 16034\n4797 18737\n3729 18423\n10353 13851\n2056 15521\n1781 19272\n11295 13847\n11134 14456\n6366 14199\n5901 14462\n9314 14874\n11665 16304\n4521 11783\n3875 8246\n2211 2378\n13430 15708\n8988 14090\n6995 16694\n4008 15235\n10549 15322\n2592 6874\n1576 13892\n1229 18810\n5891 13939\n5087 19228\n1242 3654\n11182 11257\n3329 11804\n10937 12291\n2871 17027\n4900 14044\n2027 13010\n4248 9027\n12650 15596\n13318 15812\n9073 9885\n428 6655\n6036 14768\n4964 10927\n144 12440\n5922 16053\n2262 4388\n7559 15378\n7679 11047\n3910 8202\n15078 18856\n13913 17421\n5745 7257\n3969 12961\n1297 8108\n4811 7802\n8538 14621\n734 10917\n14608 19648\n897 10889\n8110 18717\n8917 13311\n9445 17438\n5711 6138\n1096 13300\n6522 6893\n10181 19854\n14447 19755\n6387 14681\n14460 20112\n4003 15472\n19103 19386\n13509 16702\n8154 19755\n8645 9009\n13092 19976\n11946 13985\n9321 11052\n2232 17579\n14550 15688\n7318 14491\n8914 18768\n13482 18721\n9328 18717\n1484 17720\n8833 16560\n4502 16248\n8117 19300\n15452 16519\n10497 19842\n11639 19800\n8856 15181\n3646 13756\n5435 16150\n12653 19640\n8385 19844\n1113 9006\n9930 14212\n11001 18802\n12138 15146\n5068 19920\n2100 7095\n13072 16194\n3709 16235\n1224 16922\n11504 11981\n3124 16113\n3257 9207\n3131 16753\n1461 16150\n1372 2306\n6266 11029\n2718 5664\n1607 14076\n1245 13265\n18313 18638\n6313 6359\n15433 15763\n2253 3499\n13916 18085\n3288 13244\n7562 14390\n16823 19642\n15199 19190\n8972 17755\n13311 15984\n9312 14603\n1474 15989\n10960 11585\n10038 13162\n11291 11480\n10221 19049\n11246 13737\n643 10573\n14217 19650\n12262 20276\n2364 6738\n3174 6517\n5731 18550\n10923 12942\n5343 6368\n3888 17673\n391 8392\n7014 10338\n7461 15298\n7919 14472\n10443 18498\n1326 6479\n10752 10928\n4978 14050\n1479 13862\n897 18003\n222 6414\n7967 10440\n9790 11712\n5909 18055\n11540 15935\n1286 13453\n10957 12989\n12432 16035\n1760 12671\n12294 15720\n2780 6765\n8070 18100\n2416 6678\n1584 14657\n5035 13592\n4795 15651\n1552 10726\n6984 18440\n7756 14326\n1830 11402\n1486 9948\n1497 2289\n7957 18432\n4752 12332\n8577 9043\n12902 19267\n6296 10784\n1283 14231\n645 11008\n10733 11410\n4411 11012\n15743 16491\n6910 19090\n2194 5834\n14086 18247\n917 9647\n7754 18347\n10733 20202\n16342 18425\n1473 17533\n6323 7425\n5249 13055\n9059 20228\n15048 18435\n4868 11993\n1423 4779\n12468 18714\n8779 12063\n124 10122\n16642 19646\n8553 12837\n5418 16475\n17024 19499\n3033 5154\n9669 15179\n5546 8737\n1327 13885\n2495 8656\n4412 18110\n2231 19619\n7361 13958\n1648 19208\n1043 5426\n9249 13352\n15763 16089\n7955 13363\n1963 9297\n4295 9688\n11777 15016\n3840 12015\n8630 16472\n7736 18411\n1663 15943\n3392 16902\n5723 7507\n13322 20205\n5327 9008\n9905 10589\n11393 18261\n869 17583\n5132 19678\n11251 13448\n5549 8923\n5239 16767\n1023 7977\n35 7777\n4223 19157\n225 19560\n11881 20260\n11556 11698\n3788 5751\n1611 5478\n7561 15321\n11392 16685\n1983 7089\n4526 8579\n1981 7873\n1755 17952\n8 12926\n4545 7334\n4194 4474\n16457 16804\n8352 10923\n2687 6339\n4073 6323\n8525 18869\n10138 15441\n655 13753\n5646 8125\n13847 16164\n1652 14547\n4241 4330\n16313 17248\n10400 19870\n10034 15401\n3755 14782\n7533 19485\n3788 5809\n8464 12020\n15603 16421\n12327 19395\n14086 15605\n139 5608\n492 1842\n5676 12604\n10217 16353\n2944 14629\n338 16971\n3469 8399\n1283 2508\n1376 16989\n6111 10037\n1254 9732\n1124 3505\n2689 12724\n9062 18711\n6897 9741\n5183 10642\n5457 13347\n8064 9095\n1962 11402\n2813 10340\n16081 19046\n6867 19702\n591 15331\n10653 14126\n8907 14578\n8426 11647\n2928 8828\n3415 15797\n4286 14084\n2266 6587\n6064 12789\n15657 18097\n6097 7228\n287 2955\n2022 3029\n5621 8496\n8913 11509\n6119 18592\n2388 19539\n541 8715\n9111 17028\n10695 18097\n10066 15640\n17969 19109\n202 11122\n3840 11472\n7159 9201\n13581 15293\n7419 16002\n5111 15193\n18704 20066\n14579 18982\n10672 13003\n7715 9266\n13361 16894\n12468 16250\n8193 15028\n11290 17457\n3158 17862\n1166 5823\n6557 7430\n3519 7689\n3301 5314\n4916 18543\n15508 15798\n13261 17779\n12712 12771\n5503 10863\n598 7517\n2924 3153\n13086 15682\n12075 14372\n3352 8708\n3958 8309\n5991 18661\n1750 2932\n6788 8798\n18984 19434\n9636 15328\n18363 19522\n3824 4366\n12514 12698\n8428 15892\n3333 5659\n12650 15500\n13636 17012\n718 5579\n2887 12422\n7381 15040\n3305 9837\n862 10654\n10152 17770\n8961 9033\n18250 19208\n552 11836\n1609 2155\n6088 18600\n15631 18064\n3501 3522\n2266 12947\n4849 6648\n5986 15543\n5149 5734\n4941 17592\n2223 2597\n13369 18664\n11860 19764\n15640 19995\n16973 17816\n2284 19620\n5411 16125\n15926 18036\n12712 17939\n15698 17402\n13971 19280\n5908 19504\n13982 14880\n13747 19007\n16099 16899\n7734 11476\n295 3027\n3020 14788\n5263 14074\n811 17684\n7204 16420\n7844 8533\n9990 18823\n12921 19006\n2674 5358\n16582 17450\n8028 13460\n19274 20277\n2945 7714\n5528 14078\n6790 16714\n5647 14701\n4057 9495\n4851 13526\n3133 9647\n15220 15459\n8018 14060\n1196 1744\n2611 12569\n3161 15135\n2649 17315\n12187 16500\n7007 8683\n4616 10956\n6444 7049\n9175 16340\n11173 12710\n6900 18544\n11785 18989\n4543 19283\n6170 19404\n1698 15595\n8002 20138\n4803 19597\n13837 18020\n8013 8270\n7094 15673\n5801 11946\n5541 8280\n13844 19191\n2210 11232\n6938 15511\n5570 11685\n15014 20101\n1214 2460\n4240 4398\n1020 2467\n1628 2296\n2180 12530\n18367 18487\n6049 15323\n2891 9533\n18562 19825\n2325 16398\n1806 5877\n5611 12443\n1361 18622\n8096 14266\n15400 19802\n6489 12206\n7203 18880\n14285 19364\n4099 17967\n4608 12813\n13950 16616\n705 6039\n11575 17681\n3469 19016\n2504 6157\n8558 9549\n4569 11599\n4811 8424\n8881 12651\n5907 19250\n1621 5171\n7801 19399\n1464 19245\n2116 7456\n3879 4545\n1185 13492\n5819 10437\n7105 15442\n5272 16362\n9014 13452\n887 7607\n7862 17326\n11621 16368\n7102 7599\n1918 15690\n2102 14504\n9855 11928\n8350 13537\n3690 5763\n2562 20077\n1529 5431\n173 15154\n16209 17571\n5153 11273\n5056 10557\n2148 9729\n6658 7732\n729 8068\n15721 20100\n17288 18205\n18036 19685\n5522 12825\n1177 1266\n7589 18675\n11903 13067\n1811 15598\n6364 10897\n2914 18852\n8349 13526\n12153 17489\n3268 13131\n6969 12439\n4531 17405\n10163 20139\n3287 12475\n561 8788\n7676 9462\n6312 19220\n7855 13752\n4634 16808\n466 8501\n4378 7923\n589 16319\n19822 20099\n678 8040\n14067 14636\n915 8185\n2953 4897\n15111 16073\n2191 4865\n5454 8638\n9083 9480\n7173 7975\n17721 18039\n9399 9486\n15249 19124\n2570 16736\n5552 10135\n3622 17169\n1715 1908\n6579 15727\n6608 16466\n8779 16901\n7516 8939\n10698 16785\n4537 11240\n2064 2190\n4284 9384\n7141 8196\n82 13853\n4716 17870\n13131 16373\n3594 5337\n17144 19145\n3192 12186\n584 7613\n4284 10825\n1268 12134\n2676 3710\n517 9993\n13848 16824\n17285 17776\n3935 9824\n2926 14422\n270 783\n17276 17580\n17869 19256\n2751 3205\n1650 18001\n13419 16488\n7071 15855\n5294 16398\n5843 18049\n8661 16118\n7094 10533\n2962 7018\n7173 17088\n6581 12170\n3151 6929\n8011 9816\n2180 7223\n10513 17701\n9355 19901\n7996 14729\n13155 14284\n4442 13720\n10877 16686\n10476 16861\n8587 14731\n5046 5707\n191 8144\n2559 8046\n2095 4543\n7814 8921\n10407 13816\n1028 2697\n630 17484\n6356 12839\n12041 12928\n2019 7906\n9688 11578\n14984 18858\n5742 8407\n3256 13100\n3442 14677\n621 10313\n5976 9016\n732 3337\n13699 19197\n16149 19429\n12966 20168\n492 12137\n5241 11231\n1546 14276\n4222 10087\n877 14202\n6979 17482\n2381 6649\n2838 19735\n12676 15130\n5165 14853\n4211 13715\n5294 16988\n3231 9274\n11704 15304\n9686 16479\n1685 12388\n7614 9052\n6614 17045\n2453 14634\n11848 16795\n5531 17076\n9992 14263\n7308 9434\n3070 6902\n8188 12080\n4564 11828\n12391 18835\n3115 6164\n4520 16516\n9333 16552\n3527 4195\n16652 17960\n5352 12990\n6709 15996\n7915 17628\n12745 17521\n7569 18123\n268 9678\n15786 18321\n6936 19939\n7092 15508\n3797 15578\n4441 16859\n2947 11510\n8447 9433\n17024 18029\n1847 14585\n14219 19472\n3590 6393\n2187 8187\n11490 15115\n9091 20137\n4281 16809\n1730 13410\n5702 9928\n6301 14715\n10956 14610\n7659 13172\n14995 18641\n1342 9514\n3084 14643\n1520 4695\n357 8673\n11597 17190\n251 5313\n4396 10790\n3454 17793\n6968 17910\n2149 12615\n621 17474\n2982 14075\n4516 8027\n18016 18165\n4650 11106\n2523 18618\n14648 17070\n6703 17083\n3871 11297\n4998 11434\n9918 16602\n10145 13466\n1247 8166\n1324 12352\n1613 15896\n3659 11995\n17060 18680\n6914 16874\n13578 19488\n982 10877\n9553 18254\n12617 14737\n2623 16433\n1223 5658\n8226 15577\n13619 19005\n12064 15952\n6142 18038\n15235 15930\n3838 3959\n3957 10633\n10551 13561\n8750 11500\n2272 14953\n3087 6185\n691 8057\n4847 13526\n5286 9960\n9306 18249\n5594 19913\n8114 20206\n13588 14856\n14493 19085\n2873 17189\n8624 14727\n13345 17754\n3170 8122\n5530 9710\n6461 9665\n12282 16653\n7758 13371\n8587 9395\n15201 19930\n10483 13911\n6519 18831\n11203 19723\n1508 14556\n3573 7326\n15066 18725\n17212 17838\n7396 11994\n4899 12972\n7117 12226\n1067 12679\n201 10211\n12817 15385\n4226 5900\n3260 19342\n13126 15772\n16717 18735\n8071 8833\n7056 11249\n2602 20063\n8857 17626\n7539 13126\n5132 14909\n921 17142\n7280 10869\n12502 14487\n11664 18231\n4299 17242\n8282 9336\n3958 13051\n4346 4628\n13112 15356\n7648 16645\n729 15894\n12234 13514\n2236 14196\n12319 17251\n8247 9524\n15370 16573\n12233 17674\n14340 18481\n3303 12351\n7278 16526\n11676 16134\n3647 14449\n10310 13453\n9539 17607\n10722 17440\n7116 14537\n14213 19719\n1439 10654\n17451 17853\n13971 18056\n5328 12547\n591 12847\n2218 5911\n11762 16025\n2406 18235\n11758 14055\n3081 7196\n3798 4550\n1315 15336\n8382 15541\n3743 13811\n15198 18286\n10624 14586\n2988 11972\n8046 17865\n72 15485\n13027 16885\n13764 14564\n4245 5838\n11210 11634\n108 2438\n10630 14966\n12946 14259\n72 9263\n4459 9156\n7115 8800\n7584 13603\n9123 20270\n219 13927\n1164 5364\n1499 9989\n7125 13224\n9840 16420\n1952 2760\n3253 18656\n7894 19688\n16032 18154\n5916 17194\n1352 19726\n600 6079\n425 1088\n6848 10299\n17124 17729\n399 4324\n5860 9617\n5678 13909\n3850 15495\n19484 19944\n7152 11311\n5938 15195\n11746 18134\n4266 17885\n777 850\n3624 16595\n2380 7421\n8122 17692\n9908 11221\n964 19142\n7333 13138\n8248 12105\n4617 18833\n9160 13665\n17797 19185\n2856 6258\n94 6894\n4581 11228\n888 5949\n6482 18553\n8835 10678\n1845 15477\n797 13533\n14342 14710\n249 10634\n4786 12539\n14689 16740\n15710 17564\n1574 18747\n8688 9478\n6792 8845\n10103 14534\n2025 2860\n6834 12478\n3861 19735\n11859 11928\n5771 11912\n4227 5745\n1381 17569\n6148 18750\n727 2468\n1137 10673\n8036 13012\n2087 4278\n8858 18759\n3315 13074\n9627 11735\n3787 12679\n5375 16489\n1876 5147\n7721 20012\n3235 10669\n121 501\n10741 15532\n13078 17343\n2958 8013\n17159 17803\n15070 19768\n521 749\n4325 18954\n91 2858\n3196 11522\n3250 13793\n15286 17752\n3984 9226\n7655 7810\n10639 10919\n6401 18695\n15353 19221\n7491 12788\n10864 18400\n15256 17562\n4974 11477\n49 17203\n6215 8227\n3908 11703\n2729 8825\n9036 16003\n733 4780\n629 10245\n6141 15802\n3818 19013\n7477 7777\n7909 9815\n11638 19154\n4085 14189\n4474 14171\n5355 11307\n18887 20076\n13935 16487\n9419 10907\n5721 14854\n4217 18618\n1355 6809\n2438 16291\n11097 13938\n806 11508\n3110 14404\n2704 3533\n4035 13931\n3457 7858\n17492 19400\n5918 11447\n3589 11663\n1216 16286\n1253 4477\n5579 11420\n12692 15055\n5556 7546\n4937 18734\n12650 13627\n14568 18547\n164 857\n8321 19540\n7553 17767\n8875 17768\n3721 4176\n2265 7485\n4141 14814\n2315 16934\n3934 9340\n7468 14372\n1157 2558\n660 13976\n12813 18850\n6974 17046\n11593 15214\n11385 16537\n9884 20242\n579 6401\n1325 19191\n6695 14807\n4979 16885\n1812 14075\n10688 18452\n13931 17485\n5419 17988\n4939 7907\n4469 19749\n7906 12275\n13252 19145\n10999 18737\n13489 14078\n3471 10849\n1588 19232\n452 14649\n5382 9296\n1146 10919\n3265 14329\n1347 15831\n17002 17402\n11246 19360\n6081 10231\n7956 15595\n13453 17849\n3785 16648\n10093 11976\n1510 14788\n14699 20137\n4781 12014\n635 17231\n1414 14543\n4342 18702\n3420 18130\n6769 20067\n13188 16514\n3225 12153\n15788 18412\n8691 16277\n176 14945\n12974 15614\n6790 14249\n6086 17343\n2030 10931\n4556 8660\n6061 19881\n7717 8828\n5057 15588\n12017 15173\n9536 15200\n505 10348\n1259 19663\n2564 20232\n527 18065\n574 2320\n14115 16493\n1949 11647\n1340 16586\n19540 20246\n3430 15340\n6062 12396\n1243 17178\n13616 19111\n3391 13120\n7605 9820\n6576 20231\n5761 17864\n6160 9572\n6122 16024\n9177 13954\n16746 16884\n5567 15418\n387 7226\n16414 20225\n13443 15488\n11774 18463\n15298 15686\n10 18908\n2913 16463\n11318 15617\n14922 18881\n4365 19852\n9778 12619\n574 8266\n1443 20042\n2519 7747\n9462 19504\n5816 16292\n3506 16395\n3431 7377\n953 1573\n9017 17845\n14331 19223\n14438 16872\n3251 16013\n10202 15871\n17537 19014\n2111 12518\n2443 8799\n3075 4613\n4678 14635\n15907 16782\n1960 6110\n4757 4778\n2101 13968\n1575 17041\n6003 7804\n3332 4543\n9268 13712\n5177 10724\n7009 18619\n7075 8311\n4718 8230\n17392 17601\n13694 13995\n8852 15710\n5670 9046\n3285 12111\n12008 18597\n11633 20192\n9874 15362\n805 7029\n2013 11984\n12108 14366\n3523 12877\n1260 6252\n4688 5271\n3771 13519\n8006 12179\n5993 6384\n1215 18647\n17492 19539\n9399 16219\n10372 14172\n1375 7904\n1505 16832\n1397 2773\n9708 17224\n5945 17690\n13099 16782\n2241 13749\n2580 15458\n11595 15325\n5079 17319\n2583 19340\n2785 7866\n9669 19928\n8773 14713\n4088 5602\n4282 13641\n5852 20143\n7685 15606\n2237 12339\n468 14168\n6192 7429\n1612 20220\n2130 18879\n17385 18672\n7460 12184\n10302 13833\n10338 13561\n7996 13235\n4460 18462\n5623 9456\n8417 12097\n13941 18829\n5529 15041\n4635 9573\n2006 4612\n7055 15972\n8825 12017\n1585 9205\n9577 14640\n1861 9766\n5894 19231\n2737 4790\n1705 16784\n2669 8298\n8939 14252\n8347 15721\n529 13316\n4433 19035\n5619 8973\n625 18761\n15219 19035\n10826 11817\n2338 11964\n11822 15559\n2026 11277\n11932 17987\n9984 12318\n8374 10549\n4009 6612\n2585 9084\n4300 16396\n5718 19320\n4902 9312\n1094 17659\n10036 19178\n14971 20187\n5318 17337\n1983 5841\n18632 19868\n5291 8643\n14738 20259\n1404 16672\n9723 16362\n4320 17145\n773 18812\n2714 15084\n10979 11146\n10723 15569\n16941 16957\n703 10047\n8913 12360\n6509 6551\n9094 11427\n10900 17672\n15068 19874\n409 5519\n5692 18091\n1719 5392\n4582 13958\n4902 18943\n13732 19474\n369 19689\n14519 19008\n1498 15326\n67 6291\n3018 9344\n3201 12003\n7668 19177\n748 1669\n6863 18901\n3631 6711\n322 4313\n13452 16669\n16000 19639\n2818 15149\n6503 7084\n8140 8783\n3418 15165\n12000 13464\n5878 10629\n98 400\n1735 16814\n5124 5480\n2977 19853\n6887 19412\n11041 11992\n10603 12370\n15276 18439\n4263 13950\n2600 8386\n8177 11179\n2374 6752\n5468 18831\n2507 17202\n2142 2890\n18177 19908\n5356 14850\n15696 18091\n1042 5810\n4270 19500\n4089 14001\n7383 16875\n2522 3884\n2828 3684\n19945 20207\n1325 15279\n5449 6325\n4507 12529\n4303 16255\n14043 17723\n831 7649\n19831 20056\n4047 13898\n8470 9023\n5720 14686\n13820 18601\n3084 12105\n3367 11115\n13247 18457\n7102 8038\n6383 6783\n1514 10577\n14370 15269\n8314 10678\n17766 20110\n6146 9548\n4024 14182\n10048 10839\n2335 14584\n4556 11302\n11557 18299\n1133 12041\n10601 14323\n5295 14714\n12592 19961\n11725 19761\n6444 9231\n2358 2438\n11406 13302\n2500 3707\n6378 8843\n7807 9093\n11577 14806\n9428 14271\n9283 19745\n3611 18936\n5203 15098\n7131 19035\n12378 18162\n6027 7267\n24 14064\n202 17234\n5005 9544\n4564 17905\n13400 14799\n16470 19294\n1395 8235\n4958 15656\n588 17667\n3656 14870\n7190 13888\n928 19661\n3697 9813\n2090 3813\n7372 9009\n1432 6056\n6163 9773\n9555 15648\n10401 14482\n16490 18320\n10197 19372\n902 1784\n10493 17301\n1474 15914\n11819 20203\n11 6049\n4069 17088\n5974 8184\n1586 17300\n3639 17260\n5042 17877\n1901 15687\n1627 15394\n516 3770\n9181 14062\n18983 19746\n12345 17999\n10132 14318\n3647 8751\n1337 17209\n9628 15823\n13866 19291\n15587 17242\n13791 16719\n2581 6991\n368 1048\n1060 13338\n8366 16370\n5928 16435\n10840 15835\n10126 11335\n3305 4892\n2863 10129\n9246 15236\n3001 7677\n16645 16818\n504 10734\n2313 4801\n257 7031\n1136 4984\n701 13949\n10973 13466\n5247 10836\n5761 16773\n12589 19122\n2966 7321\n11591 17335\n13070 14260\n4057 6483\n6666 14560\n7816 11110\n14979 17953\n1229 16728\n9639 11394\n7123 17552\n8084 11522\n874 7544\n9217 16905\n8347 13859\n12424 14157\n669 9919\n7250 18429\n6295 10329\n16874 17984\n8071 10234\n6383 8921\n1884 9050\n7754 9760\n15084 16336\n7632 18155\n10142 13827\n929 10905\n8993 14335\n8073 19224\n8894 17341\n4474 16890\n10737 19745\n10752 19957\n7483 18955\n6483 18772\n476 18736\n6322 8173\n10520 14077\n8551 11224\n5703 20148\n9205 16285\n14284 18722\n10320 14269\n17050 18215\n5894 15765\n4622 19691\n15675 17534\n2638 15728\n7983 17364\n8219 9534\n5655 8982\n10657 16419\n2851 14167\n8803 13577\n5908 19085\n7721 14126\n14517 16473\n12692 13408\n282 1370\n16521 17092\n3886 17657\n29 11183\n4804 15583\n6263 11028\n3737 16545\n6644 12785\n10265 18419\n5044 16450\n10904 15767\n12192 17035\n14436 14500\n5656 16641\n18869 19027\n1112 8999\n899 14793\n13168 14022\n9516 15399\n7748 18903\n716 15628\n8465 17843\n8415 11463\n756 12573\n13342 17452\n2349 4447\n3936 9888\n12051 16972\n4249 14938\n4927 12993\n87 3359\n3281 19058\n1946 7956\n8407 8832\n11603 13349\n3070 10598\n4017 19658\n16795 19377\n26 17769\n13932 14222\n6700 8487\n1386 18767\n4458 5542\n10232 15166\n5801 12433\n4381 18090\n14697 17061\n7549 12808\n13749 18088\n14565 17496\n5942 6759\n15569 15824\n4596 11002\n3917 5641\n3264 9960\n4410 13732\n15305 18524\n11326 11639\n1813 12955\n12324 17503\n14745 17267\n2203 10025\n4869 4956\n5346 6906\n1998 6322\n2312 5900\n9791 9804\n951 14833\n10260 11460\n2189 12804\n1516 5946\n6642 11497\n8772 11783\n357 4218\n4742 9474\n163 13021\n12852 15490\n8493 14019\n5309 8221\n2635 19244\n3733 13047\n5962 8556\n2014 3460\n7066 14732\n10162 15140\n3042 16048\n8090 15346\n7412 16161\n13748 18026\n2173 2318\n942 16401\n3409 17185\n12287 15987\n6551 7006\n4498 7686\n1750 4331\n733 11047\n5386 11501\n2852 19855\n11393 13003\n16713 19861\n12749 12912\n8732 14687\n7426 13091\n15497 18484\n10473 13820\n14835 18254\n1034 5643\n132 16651\n423 2426\n15352 16536\n2718 8880\n8101 19312\n1223 3902\n2438 20188\n14683 20182\n5897 7484\n1689 16066\n2945 13737\n5373 9596\n4267 15278\n4006 9429\n11270 18271\n2890 6955\n16043 18401\n11390 15696\n4252 11146\n1915 8400\n139 14204\n4463 16030\n11893 15414\n9227 15600\n17151 17717\n8313 19151\n769 17122\n3138 11347\n12837 13944\n4851 11187\n8578 9305\n8873 11415\n16098 19460\n793 5041\n16931 19083\n2717 17399\n1623 16064\n7878 18770\n11037 18451\n6495 18908\n5957 8252\n4819 6911\n17032 18673\n6755 16829\n8683 13503\n7662 17316\n9369 14113\n13483 13603\n12963 16651\n9638 11953\n4575 11475\n2757 3150\n3791 15493\n4088 10311\n9236 17975\n4583 6421\n11964 13712\n1100 3869\n5214 12873\n2881 14748\n5319 13678\n1960 18274\n3404 15141\n15388 17188\n3125 9551\n6720 6932\n97 963\n7585 15864\n1282 2772\n5816 7363\n3756 6444\n9646 11405\n496 9939\n25 6166\n6641 14233\n15556 20252\n6191 9008\n1028 11989\n3286 7873\n6910 13255\n3499 14150\n7594 16719\n585 2147\n8207 11398\n261 1646\n7259 16846\n6367 7560\n2551 12318\n5126 5821\n8969 11737\n15542 17613\n9346 16089\n2762 3207\n8993 16827\n8017 18156\n8093 20227\n3647 12765\n150 12258\n9598 16080\n1554 7169\n15973 16268\n6247 11940\n7385 10170\n3548 17101\n5774 6425\n1438 16849\n428 7657\n1910 9783\n9487 18596\n815 7265\n4273 13008\n5375 15771\n5619 5711\n2134 16063\n4696 14783\n7966 9622\n1488 20273\n7737 14176\n8469 17448\n3410 9615\n16980 20004\n1168 2917\n15739 17824\n2932 14679\n1202 15808\n9626 17124\n7790 9532\n1550 16632\n10776 16657\n8846 11499\n6349 14979\n5947 16034\n3068 7628\n16541 19506\n18138 20013\n4981 7859\n7202 20269\n3627 9581\n6006 9609\n1020 19723\n647 15818\n3104 5515\n12449 15979\n14663 19059\n8288 12918\n12864 19103\n6998 13241\n324 7959\n3767 12488\n9339 15070\n1640 13010\n691 1689\n14773 19570\n16416 19605\n6537 19167\n10721 13889\n7607 8432\n5222 17485\n471 1176\n2841 3757\n3209 14557\n5180 18128\n10693 18584\n6641 19068\n7335 9461\n4060 19428\n5155 8446\n762 8988\n7078 14334\n9894 15114\n1486 8154\n842 6331\n1020 19497\n8146 10985\n1037 19665\n918 14033\n5423 6119\n8142 20201\n4376 10165\n3191 7889\n5047 18086\n1907 6963\n14483 14862\n2069 12519\n5785 16057\n2503 5605\n8292 18627\n10650 16554\n1092 7078\n2289 15067\n5623 18706\n1570 12041\n3929 10667\n9227 11459\n8402 19216\n6897 7259\n15061 16088\n2489 14168\n11624 16387\n4341 4492\n16964 18131\n14963 15427\n12519 16635\n632 11732\n11677 18061\n3301 15082\n1723 13173\n9351 13200\n602 8773\n2900 7315\n14103 18972\n2455 5175\n5456 10237\n10791 14280\n529 17895\n13243 14169\n7341 12352\n11272 14663\n15181 19062\n6191 13348\n7006 7616\n46 8154\n10703 12878\n5831 9931\n4898 11931\n3781 17072\n2761 16521\n11544 11830\n3972 13454\n6694 19482\n10536 17601\n15856 17999\n326 1632\n3769 11801\n1545 5347\n17694 18177\n11482 12091\n2800 13005\n1014 5339\n90 10595\n8659 11566\n10077 11884\n2607 14345\n12125 15746\n10124 16869\n7693 11523\n10318 11041\n511 15685\n8181 12402\n4250 5184\n3526 3889\n5479 15603\n322 17236\n1369 18397\n4903 18617\n9802 12458\n11942 15648\n8121 17084\n13010 17151\n1958 5755\n6557 19090\n17659 18088\n14104 16816\n8212 17768\n923 18069\n5908 15874\n1485 13035\n12147 13793\n9496 16883\n6850 13781\n1444 10189\n9289 11404\n4902 18376\n5594 6578\n12746 13086\n16130 18830\n2320 18272\n12836 18005\n6835 11950\n4751 12214\n9638 9971\n761 8186\n6502 15183\n9940 14684\n809 18565\n9317 12595\n847 2030\n4200 12876\n14202 17069\n4756 9944\n1016 14836\n14019 16677\n9392 16914\n2683 2809\n4277 12918\n3120 10177\n10609 11711\n11252 14518\n10916 11941\n6042 15512\n4469 15388\n6219 13785\n3257 16635\n14029 16397\n7292 20282\n11810 15839\n9940 18828\n4602 20197\n471 11513\n1228 13973\n667 19693\n1230 13916\n1190 2717\n59 6695\n2719 8590\n4678 16328\n5664 12306\n7223 7860\n7236 10556\n4257 19720\n14324 15775\n6424 12805\n16014 18733\n4787 17712\n1237 4630\n13753 17877\n6078 7734\n380 10512\n5975 12835\n1971 10647\n12058 17492\n13735 20190\n704 1908\n8636 13929\n12899 13695\n16538 18052\n3530 18777\n8070 17756\n9428 16499\n10941 13685\n6589 18360\n15577 20053\n5547 11711\n10003 12274\n11059 19164\n7835 18402\n3135 6194\n4024 6074\n2670 6567\n8000 16009\n1602 15405\n11933 14102\n11156 19029\n473 6769\n13655 14150\n13281 17627\n6584 19454\n4225 11911\n16677 17999\n4988 9482\n10534 14208\n12171 19946\n3553 19565\n5039 7598\n575 4575\n138 17685\n4269 16251\n13528 14888\n43 19256\n9183 10944\n12546 15580\n15898 17043\n1610 10609\n15425 17366\n2953 4688\n3729 12085\n6517 12549\n425 18030\n6305 18052\n8373 19520\n1030 7493\n4987 12780\n758 11218\n6127 8285\n2375 12855\n3425 6931\n6444 10321\n15892 17201\n3014 4029\n13844 14769\n6978 8091\n8396 19457\n4003 12754\n2364 12050\n2027 8778\n8182 19210\n7070 13116\n9878 13278\n9156 14825\n625 18590\n4183 17585\n6169 10192\n6293 7155\n769 5196\n10689 13308\n8812 11395\n13199 16151\n13751 16224\n8012 10201\n1093 17634\n1114 16148\n13299 14642\n2404 18961\n1826 10776\n15327 17521\n5943 9658\n5424 16174\n7446 13591\n1357 4823\n18878 20049\n196 5254\n1401 4760\n6923 13090\n11201 13697\n9000 10482\n2105 11690\n5493 18932\n11720 15878\n14968 16246\n9436 19939\n3832 13030\n8833 17767\n18392 18761\n724 9165\n1020 14136\n1340 5227\n5511 9514\n6189 12852\n8765 14440\n3184 7813\n4047 18765\n12068 18232\n6150 6909\n11062 15667\n15328 19549\n12605 14123\n3699 19248\n1953 6196\n858 18891\n409 4684\n7927 17776\n7776 8071\n1666 12418\n5499 17593\n3465 15890\n4768 5888\n111 9881\n5186 14216\n2079 7352\n10936 18546\n2451 6735\n9053 16218\n12055 20269\n5250 10412\n3864 12263\n12829 18132\n5346 11943\n4898 4907\n7937 14343\n393 18916\n12073 12649\n3740 14824\n10747 20194\n12307 15893\n4140 18093\n11653 17406\n5173 18563\n8213 14350\n4960 13592\n9171 18135\n5349 19440\n1015 12690\n4112 5609\n2270 14913\n11005 14999\n3771 10737\n10858 12297\n12670 15855\n13232 18751\n7938 16419\n5945 11847\n14525 17788\n5331 13152\n1970 11496\n6762 18254\n12 7199\n10271 14285\n6720 10106\n5583 6072\n2869 13736\n7290 18940\n1065 5215\n5772 11832\n4344 11324\n9392 12849\n9219 19960\n6692 10030\n8831 19635\n18720 19249\n7047 16494\n12854 18028\n495 10353\n2920 4101\n13315 19736\n12337 12696\n8661 8936\n4645 8268\n2998 9498\n5656 16871\n1508 4842\n9092 15864\n3740 17811\n8127 18088\n7659 18281\n9737 11824\n3004 6114\n3858 7625\n10906 12119\n656 18323\n3887 17538\n9885 16196\n14772 19627\n2940 2961\n8904 12461\n11141 11217\n11479 11787\n8736 14403\n10678 13443\n1192 12517\n10960 13149\n17096 20256\n284 1615\n19620 19773\n4649 19730\n4430 18822\n17711 18792\n5174 8800\n2579 18161\n10332 13841\n4189 4650\n11788 17409\n53 10088\n7431 8497\n16243 19657\n8503 11158\n5312 16681\n15138 18510\n1173 9243\n4890 9618\n9957 15910\n1094 4512\n636 15486\n7892 8406\n9125 12046\n1921 5769\n16646 16993\n2071 19851\n9036 15691\n2003 4856\n4220 19068\n6134 15049\n12429 15719\n5590 10936\n15516 19355\n10876 12250\n808 15785\n4291 6626\n2148 9846\n15319 19834\n154 10514\n4355 16822\n468 2004\n6962 19200\n2555 5197\n3404 14400\n1175 17417\n11910 14997\n2708 8760\n1306 5706\n6490 7271\n796 1468\n2108 20151\n714 9443\n15646 16208\n4273 11034\n9848 11418\n3130 12374\n8297 8303\n8256 19739\n56 16635\n4747 18321\n10510 16532\n9048 19134\n5928 13548\n14415 16519\n7150 20144\n937 12917\n2196 12462\n18415 19338\n3782 9294\n11648 14345\n3591 4975\n2130 10505\n6119 14335\n9341 9435\n15834 17083\n18647 19622\n3165 8160\n7849 13095\n1401 2247\n9499 15807\n10847 18549\n11395 12524\n9848 10847\n10891 15230\n1670 2863\n6728 7572\n15535 20137\n770 17035\n8584 18251\n4383 16322\n6135 14373\n1469 18222\n7510 16800\n830 6426\n1147 5630\n11528 13023\n8967 12215\n10557 17810\n1638 17747\n6733 15493\n491 4923\n10454 12569\n7825 17240\n501 19249\n3787 14808\n6134 13512\n12119 15941\n679 13381\n7305 16114\n9622 19876\n18215 19076\n9413 17469\n5396 11458\n7243 19409\n6770 12589\n14169 15455\n14783 14835\n12377 17062\n5154 20281\n11598 19661\n5863 12128\n3481 12400\n2754 3174\n13098 18412\n491 11522\n4277 14329\n12382 14937\n16425 16648\n873 10930\n1077 1972\n7091 7970\n5382 15552\n620 12004\n13345 13528\n8330 19299\n4 15702\n1162 13898\n2087 7893\n4262 16871\n10607 13722\n1727 2162\n4741 14748\n12763 15239\n9878 19589\n4904 12055\n6666 11772\n13185 13633\n372 15935\n474 1881\n3578 11546\n6531 8960\n194 999\n3033 4241\n12059 20050\n3746 12611\n15186 19888\n3002 19166\n5021 6327\n87 9399\n6457 19422\n10487 13354\n4588 14821\n4625 18761\n1577 6990\n10971 18659\n13485 20133\n3163 12332\n3772 16181\n3414 9960\n15370 17970\n5194 15292\n8715 10646\n5770 7392\n1035 9434\n6436 6971\n6011 12003\n5195 11763\n13583 17249\n1102 12155\n10735 14767\n2119 9946\n12853 12901\n2162 19632\n10721 12173\n13553 18250\n7384 8064\n12405 13862\n14412 20216\n3427 17101\n6475 15860\n8125 17168\n1346 6388\n11633 17903\n10911 17374\n1669 10263\n6436 19123\n4216 7742\n2720 3730\n2885 14713\n10918 16530\n4019 9078\n2580 17799\n359 18785\n487 8492\n3802 7743\n15732 17299\n6136 10761\n8320 15977\n6576 6730\n4982 8214\n10366 15246\n9885 18206\n2494 3663\n9520 9567\n8016 14936\n13649 13811\n6368 19695\n3868 19577\n3291 6837\n10557 20148\n3477 8265\n10259 13843\n7496 14409\n3934 12741\n4316 17174\n5068 19624\n2685 18823\n14127 17652\n17135 19077\n4505 9928\n11197 13778\n14777 15449\n8047 14199\n11543 19766\n3823 12974\n2199 3800\n18063 18306\n3207 16127\n1709 17788\n1839 10494\n260 12824\n6670 12796\n8732 9996\n4943 7265\n867 5268\n6367 15992\n4755 12135\n2998 4178\n3540 20032\n3719 14226\n540 9459\n4878 6051\n4949 6982\n17096 19556\n14045 16529\n2949 5887\n13756 19318\n4874 12576\n5964 15038\n9879 16571\n4859 7765\n2218 11953\n11342 13994\n13188 20268\n8715 9498\n1654 12008\n2353 16001\n2019 6018\n37 10176\n16682 17911\n13656 16750\n9221 14952\n9940 15785\n4181 9781\n4288 17322\n897 11901\n2762 6977\n8697 11933\n37 19773\n3839 10816\n7550 18820\n1995 5756\n6447 15828\n3842 18183\n4113 17859\n3237 6822\n2386 16350\n6502 16624\n17090 18749\n1558 1701\n14278 19830\n9284 17727\n6057 13292\n1640 13272\n6906 18472\n7967 18490\n14632 16120\n2629 16044\n7206 9221\n9876 10632\n7915 19146\n13368 13925\n4829 19849\n5064 7070\n3786 17333\n3299 15166\n7052 7869\n14637 19450\n1276 1695\n14465 18984\n14715 17868\n3671 19258\n5935 19211\n7859 9724\n1565 20271\n3082 3868\n15038 15567\n3767 12062\n4643 11938\n6175 7552\n1462 15037\n1635 4900\n6334 19199\n7404 17980\n10481 17051\n2611 20173\n353 12062\n2697 4494\n6938 7306\n1251 3410\n10742 19599\n3304 7384\n5554 18744\n617 1279\n7753 14779\n4075 19456\n6784 12073\n8369 12670\n6707 15736\n5829 15995\n6851 19472\n17092 17154\n5300 7884\n512 17094\n3673 5797\n15761 17553\n10786 18500\n2727 8381\n2222 10290\n1524 13197\n1501 6148\n6358 12860\n18682 19317\n8640 14374\n9588 14020\n7939 12872\n2654 4874\n7004 19718\n6422 7579\n10931 13703\n10421 18481\n12580 16193\n3915 14250\n3413 19574\n7012 11380\n7510 8990\n8679 16775\n4959 10120\n2528 7255\n307 8060\n13710 16833\n3462 19268\n4214 20201\n15591 17234\n4241 7712\n15427 19283\n2826 4954\n6570 9740\n244 14985\n4520 9189\n18480 20072\n5822 14793\n5765 13786\n10307 14715\n11209 13200\n6494 13377\n8487 15286\n4424 4876\n5302 12200\n3246 10575\n13023 18914\n3992 17466\n6167 17026\n4360 12155\n14207 17727\n5544 10627\n5119 13087\n1699 3728\n13848 19554\n9695 16297\n4929 16083\n2917 9103\n1747 6422\n2372 11510\n11967 17751\n16025 16515\n2241 12616\n14240 17420\n12901 18635\n5336 19124\n4948 11211\n12424 14135\n10473 14625\n2644 3700\n6321 14875\n14794 14900\n2241 5462\n2180 9362\n19263 19439\n5581 18965\n385 1959\n4280 5209\n4055 18356\n1148 1927\n4773 13293\n4170 17268\n15207 19223\n10508 15706\n1254 6406\n1329 6335\n13359 18673\n12134 18846\n2031 2751\n4250 19329\n4118 6110\n12956 17124\n8053 15708\n3747 17822\n5731 15568\n4517 5979\n1195 3151\n2864 4142\n1035 6362\n3207 17670\n8041 10137\n4809 14170\n11696 19948\n5086 12027\n8252 16711\n2663 18096\n4472 14933\n13702 19426\n7905 9969\n10771 13408\n2062 14113\n2189 7781\n15922 18371\n11346 17345\n12922 18514\n6190 12226\n5621 17926\n1808 12334\n12164 17801\n1057 14474\n10339 16584\n13424 17906\n51 14708\n1657 20179\n2317 13728\n16393 18046\n3639 16199\n3222 14438\n6988 18210\n8274 11292\n1314 4845\n786 1990\n7456 16513\n7281 9517\n3374 7487\n9180 13203\n2263 16187\n10845 16261\n12631 18998\n3905 7440\n6564 11672\n16601 17952\n11769 15769\n9335 13520\n2127 11914\n4266 10030\n10857 16336\n2317 9388\n11001 14390\n5629 8970\n12661 18855\n15100 15498\n8371 9530\n14867 15658\n5902 10954\n896 7902\n797 19360\n14222 16869\n761 10609\n12973 20199\n9584 16494\n112 12587\n14584 19658\n12817 19109\n2711 3442\n18041 18258\n1672 10435\n12506 18618\n12466 16207\n2453 12789\n7381 19945\n1513 11296\n17568 19829\n12804 15439\n15575 17012\n18310 19342\n17197 19597\n14687 14859\n8087 18644\n9252 16359\n10845 19545\n13945 14123\n9257 19281\n5517 11134\n15139 18428\n19209 19282\n12730 13761\n4812 16215\n7308 14118\n5125 8581\n15199 18773\n11347 17510\n12460 18661\n15736 19452\n3668 7756\n4672 15961\n7559 12607\n6932 17566\n13230 17925\n5314 8411\n2655 12976\n11353 19648\n6027 11083\n8829 18368\n9056 11782\n8365 13953\n5737 7109\n9102 12088\n8497 9723\n7477 16422\n2621 10862\n5660 6239\n154 15040\n3682 8429\n2588 3195\n3485 18695\n6400 19811\n7557 8455\n12204 14307\n10175 11420\n10865 12037\n1246 2500\n10559 13962\n5658 5952\n9700 19281\n4316 15010\n17545 18563\n5297 17604\n322 1477\n4174 13072\n13774 14611\n4423 11576\n16019 16354\n4221 5442\n4903 19578\n11860 15268\n8600 14368\n17718 18755\n13778 18064\n1732 7119\n6518 9604\n372 8075\n12326 16342\n614 7584\n472 1386\n6890 15373\n6129 17395\n14133 17372\n1598 17621\n8848 19811\n3667 16279\n1101 2140\n13324 19755\n10872 12598\n6010 8093\n1074 5594\n8569 13350\n11022 13713\n7093 10416\n7505 16270\n8731 19674\n6071 19750\n2140 13771\n7055 8259\n2711 6731\n599 15907\n4059 12220\n5939 17568\n1793 12240\n1091 11169\n14335 15803\n9857 17734\n1299 18634\n4485 6381\n4132 10003\n5702 6287\n7646 16867\n1005 11907\n3629 5821\n594 9224\n12076 19737\n1228 9275\n1256 2666\n4898 13346\n8222 12263\n2655 10893\n8203 12295\n8385 18906\n188 1372\n234 7272\n8053 13560\n7489 13463\n16481 16607\n2246 4882\n14675 20136\n9240 17821\n2301 10233\n2083 11671\n10199 12876\n5136 5705\n6319 6693\n2777 9139\n13276 15078\n14343 19968\n16132 19743\n2917 16891\n2350 18367\n5794 16075\n4726 17794\n4220 12095\n5421 5828\n2895 14331\n4003 12734\n151 12275\n9693 16889\n12409 13360\n2629 19879\n4232 11264\n7958 8255\n8186 12012\n2920 3272\n13089 13900\n3360 13590\n639 8653\n11031 15855\n938 3035\n8707 15474\n4070 10057\n2069 8701\n3436 17044\n1949 18912\n1457 14872\n10582 16871\n1496 15543\n3421 8320\n12123 18167\n12765 15231\n4405 6522\n11164 19775\n8552 11163\n2653 8271\n10060 17617\n6216 15938\n5285 5987\n9302 9337\n6685 13496\n2781 5991\n16666 19166\n4544 15629\n7959 15152\n10516 18949\n12866 13849\n17070 17928\n14581 16123\n10084 18645\n6102 7947\n11226 17861\n7145 16064\n6417 19289\n7599 19012\n4886 20003\n15256 19173\n15734 15986\n5136 16121\n1434 13573\n10101 16137\n12503 17434\n9557 16182\n3550 5631\n14764 15193\n8244 11950\n12689 14431\n3767 17282\n1980 7719\n519 3447\n4651 14420\n143 11568\n12813 16316\n6241 8373\n4868 16455\n5035 16650\n9913 10709\n6052 19803\n12285 15626\n295 18612\n8448 16274\n14725 15707\n9303 9392\n1233 14498\n5050 16552\n8131 17967\n11899 18773\n7021 18865\n9521 11875\n11044 19544\n11731 15352\n6806 7736\n17738 17945\n2440 17018\n4817 9924\n9064 16838\n5519 14784\n10303 17583\n6301 14818\n2873 3206\n10033 18063\n2692 7976\n2374 14777\n4174 10075\n4952 18924\n1827 18287\n10836 18799\n11797 12788\n1918 7688\n19415 19605\n1831 13729\n7141 14085\n2556 19494\n5457 10496\n1088 5466\n134 1344\n9051 18654\n3086 15202\n2347 16303\n3067 15372\n2047 15378\n18479 18656\n7103 14378\n3190 14716\n837 9595\n4739 17360\n597 3130\n2777 6600\n6825 7513\n3317 19055\n4994 9155\n9756 19634\n1137 3790\n4528 7126\n213 9115\n4506 7540\n4750 17186\n8203 10323\n2784 19077\n5394 17730\n17116 18732\n4532 13265\n18823 19949\n1366 4089\n376 14013\n12181 17696\n1902 3151\n844 17392\n7608 8755\n8183 20053\n8754 8813\n1735 9409\n15755 18476\n15854 19639\n10049 10467\n12061 19181\n11023 17128\n13106 14369\n2133 10318\n1053 17794\n5244 13882\n2783 6107\n12226 13524\n8806 19303\n9863 15840\n1720 12370\n115 6753\n4986 17077\n6567 14872\n13131 19965\n6836 10213\n1386 14474\n1398 12450\n10279 15433\n11464 15249\n6950 11362\n3609 14687\n5069 10670\n10087 13657\n14705 17546\n11322 15646\n983 6388\n5060 9162\n9245 12021\n5401 8073\n7985 10036\n10390 14685\n10872 10949\n2560 4279\n9666 15801\n9664 11857\n12377 15695\n11288 18143\n10449 19018\n57 12631\n12868 13096\n9794 12445\n18148 19415\n9332 10031\n8320 9115\n9115 11374\n4238 9462\n1269 11971\n15397 20127\n1591 10102\n1755 1785\n860 12378\n9033 17017\n839 3190\n9252 16202\n11312 18212\n13901 17267\n4595 15469\n17031 18921\n9086 11552\n13815 14698\n4877 16091\n875 3281\n6162 13804\n12300 20101\n643 15804\n2110 3418\n5116 15402\n7059 9951\n8347 16889\n13221 15470\n4409 9042\n9137 10151\n7527 10742\n11799 16710\n4305 7693\n6556 14174\n14023 15540\n6550 13852\n16490 16794\n9060 18140\n1630 8447\n8444 18456\n9625 12642\n5013 17939\n5741 20059\n1153 16317\n6469 14397\n5131 19553\n5710 9823\n912 4312\n3312 5919\n1096 18160\n11746 16652\n15187 16041\n13512 15995\n11532 16242\n7589 13399\n6409 20072\n5465 13948\n1421 18612\n14803 15072\n11324 17486\n17432 19587\n3091 7488\n12324 12521\n4726 19303\n3781 8579\n11152 15900\n7353 15176\n4626 5193\n2674 11022\n4383 7120\n16411 19653\n779 12888\n4749 17390\n14506 18190\n18028 18934\n3843 6687\n1045 9298\n9110 19927\n14132 17318\n5439 11747\n10608 13764\n18135 19656\n13102 18317\n2992 11931\n5325 17636\n9885 11366\n1920 5638\n7937 10672\n18741 19174\n8630 15990\n6556 10292\n6080 19282\n4651 13769\n10176 19247\n10155 12005\n4172 19955\n17338 18837\n15894 18073\n4266 16668\n16382 19718\n7420 17552\n3584 17675\n1538 6284\n8531 13073\n9637 16967\n8394 15184\n7148 17720\n5099 18311\n10099 18798\n17065 18097\n4916 9569\n2354 14103\n3221 7058\n5960 17269\n12535 15397\n2367 11353\n8161 9994\n2110 17315\n10476 14409\n5483 20221\n8467 11728\n7501 14967\n12060 16279\n10281 12364\n4882 8044\n4601 8462\n60 2897\n8723 11626\n1390 11390\n801 5198\n2264 4649\n5999 13963\n6699 14171\n7895 9539\n2695 4632\n13903 17893\n14065 16325\n3996 4509\n19701 19815\n55 9392\n7335 14692\n3840 11809\n11823 15462\n4601 18628\n2892 8808\n5794 11242\n2609 10179\n14124 18264\n18949 20280\n4726 19482\n11644 16432\n9074 11941\n3674 19887\n2161 18841\n7527 20061\n9954 13219\n3443 7884\n988 10345\n4454 18621\n5346 10346\n19629 20239\n1447 14707\n3771 17542\n7938 16432\n19150 20048\n1760 9365\n5291 18826\n4713 10237\n2800 16345\n3707 12360\n2557 15417\n1818 18470\n3968 13946\n279 5548\n7389 18139\n5493 15584\n9126 16915\n13875 16072\n7535 8950\n3573 17151\n7613 12431\n6865 8152\n3215 8423\n17023 19993\n16779 18747\n4139 14375\n5671 14604\n3543 15476\n16820 16883\n3021 16578\n5866 15323\n5239 17011\n1399 16643\n9552 12388\n7940 12469\n2123 3318\n7104 10862\n11193 16275\n10662 19235\n10593 14204\n9781 16721\n5483 19574\n8885 14846\n23 19202\n12027 17603\n14466 15889\n8532 17792\n6478 13073\n4073 13395\n3665 7643\n11589 16320\n1430 12794\n8728 9651\n1776 2069\n2858 3103\n17950 18393\n16311 19568\n4805 17089\n1534 5641\n9464 19819\n246 10029\n5581 9925\n14849 19581\n3595 7592\n1999 4464\n2826 17571\n3647 16162\n9458 13048\n9491 12903\n8994 11327\n248 7012\n8463 13021\n4510 14826\n17020 18822\n135 2688\n9015 10524\n10408 14397\n17029 18803\n2861 7570\n3840 7382\n15691 17145\n9306 12927\n7036 7508\n13742 16284\n8297 15849\n17523 18065\n13426 18901\n3654 3791\n9562 19458\n3964 13807\n5962 15763\n14677 18963\n9157 15279\n2899 15431\n12475 14678\n3030 6584\n236 14622\n7734 16965\n6311 14992\n2613 9358\n284 19730\n347 15843\n15903 17263\n13103 18333\n10723 15677\n12703 17843\n7096 10655\n13416 13935\n65 13138\n267 9505\n7537 13622\n3159 15908\n2218 7017\n14992 17942\n190 8382\n11899 12341\n17275 18071\n11396 14563\n15288 19399\n4864 16277\n3623 6890\n2809 15534\n3361 6730\n8154 15189\n10555 14331\n16738 18179\n7065 7989\n11956 14890\n4070 7051\n512 16732\n15974 19748\n1106 12236\n17202 17757\n9972 10344\n13892 19666\n980 4067\n6201 10151\n5555 11485\n3829 17667\n8451 9942\n232 17783\n7017 19355\n6467 10298\n9613 11665\n6397 17096\n2996 9657\n12573 19918\n2114 13783\n8556 10428\n15459 16924\n10351 19439\n7032 12461\n15272 18108\n2523 12967\n2971 20181\n127 1468\n3828 18565\n7045 11642\n5288 8053\n3829 19152\n1400 6309\n14286 15873\n16784 19458\n711 18178\n13348 19131\n9070 11361\n2329 17617\n10826 12795\n1454 2444\n6781 15733\n3388 19908\n16198 19481\n6889 17020\n9058 15264\n658 14970\n17186 19248\n6996 11835\n4129 8547\n1055 2041\n12642 18772\n8006 13235\n8972 10444\n11826 14088\n888 6091\n10083 15303\n4603 4781\n6969 11176\n5332 18014\n13799 15378\n10076 11992\n10416 12726\n4206 5685\n3756 10596\n11666 12659\n50 14912\n7220 9672\n3107 11697\n13038 14833\n9860 18789\n2272 8509\n13234 18591\n2708 17985\n6159 9139\n12300 19624\n3703 4370\n2715 19412\n3205 11844\n1244 9103\n3974 9027\n5150 14965\n11606 12685\n4887 20030\n4513 5951\n7217 10272\n3729 13290\n5365 14221\n17776 20087\n814 7717\n3145 16081\n3621 18987\n2032 14665\n3348 8736\n12207 13488\n8820 15973\n734 18319\n15915 18929\n4915 15939\n2855 11901\n234 10172\n10507 19523\n1605 3331\n5062 9050\n7176 17058\n7215 15675\n8468 14908\n7646 15205\n8027 13817\n9688 14320\n10608 16827\n9850 18129\n10895 20065\n7153 16065\n7393 15540\n5024 6785\n6427 20276\n18600 18944\n10784 16419\n1527 4394\n4971 9136\n15129 18478\n9850 20243\n11529 12407\n5825 9303\n6548 8438\n259 10807\n5869 11200\n14598 15051\n6810 19019\n8236 16902\n2388 2665\n15827 19457\n3360 10853\n3981 12059\n7528 11242\n9631 11712\n2905 10587\n1963 3758\n525 9462\n8186 11314\n4212 18378\n4194 13659\n1503 5147\n1156 17540\n3294 9088\n8614 16893\n2799 8104\n8096 12977\n2795 17875\n15791 19375\n11130 15643\n911 3923\n12678 20046\n114 14610\n12695 13218\n1943 18602\n3187 14322\n5782 18052\n16133 19754\n12826 14546\n5534 19422\n14055 20195\n19353 19592\n6712 15523\n6235 7498\n784 17204\n9346 16432\n3585 5098\n14151 19980\n14916 18868\n1253 6408\n2308 14917\n1003 3463\n9204 15412\n7001 17651\n147 15510\n1697 4847\n88 9863\n1645 20033\n13769 19711\n7538 14534\n15021 15416\n8565 12187\n1367 1804\n7482 13901\n10369 17979\n6617 9359\n8034 12587\n13739 15334\n6142 9858\n5707 15037\n3626 8851\n2390 13444\n5356 11632\n4522 11120\n10429 15364\n1241 9730\n4775 12475\n6196 7278\n8056 10916\n7159 11671\n4734 14754\n4986 19888\n8424 16141\n4585 14035\n10160 13519\n2045 18970\n432 6436\n2213 17109\n13544 18101\n14074 15857\n15794 19591\n5481 17319\n4184 5918\n4305 13061\n8424 19664\n14708 19407\n9148 15554\n9855 13506\n9880 17539\n7953 9816\n2232 9598\n4696 14167\n5905 13344\n16235 20006\n13506 15652\n7008 18996\n11373 13443\n1804 9802\n2212 15796\n1546 18835\n467 4321\n3527 15181\n12323 15931\n6427 13666\n8782 16775\n6158 6618\n9427 12201\n10997 13663\n1290 16955\n1047 16729\n7385 9030\n8741 20226\n9284 19127\n8634 9718\n1027 17772\n9681 19218\n3859 4018\n7174 15242\n2522 2703\n1943 14310\n7567 12433\n2285 17185\n2925 19752\n7831 10639\n12451 17482\n17746 18510\n952 6632\n16246 19007\n14546 16852\n2659 15385\n5605 19475\n8804 13087\n9760 19415\n14061 16514\n16203 18935\n12935 15282\n9633 16138\n14447 15090\n979 6738\n5853 7082\n7247 9907\n4923 19313\n7690 13409\n10998 11783\n9160 17327\n4977 18699\n815 9690\n3650 5526\n614 5475\n10355 16002\n1780 15122\n612 9928\n10256 19658\n12611 16566\n1595 7059\n877 6657\n2818 19271\n16785 17180\n7902 17286\n3534 11758\n3620 9259\n5230 14160\n7112 15889\n1659 3668\n7227 9467\n9938 10633\n12500 17984\n3661 19993\n9344 18694\n12027 12583\n9133 20097\n6131 7001\n6627 19039\n5070 9620\n11313 20212\n9004 12234\n10619 14593\n9286 15100\n12355 13146\n13189 15758\n11653 14760\n2444 6624\n10544 16051\n7289 14444\n4917 16780\n12060 13456\n3400 16108\n3631 8588\n1930 5177\n8840 16127\n10482 15609\n14174 17409\n372 15574\n4616 11574\n3661 7769\n1032 4321\n9701 12643\n14396 16859\n4881 11185\n1156 14086\n25 137\n490 14896\n299 18381\n5525 15993\n1474 17002\n9675 13370\n3247 13677\n3722 5624\n1953 19162\n157 8051\n2512 16449\n5079 16685\n8470 17296\n5553 18573\n1013 18350\n1993 17410\n2995 15429\n14296 15190\n379 1475\n11371 13807\n6066 13026\n9028 10333\n7737 14681\n3436 14852\n4934 11200\n18323 18684\n8762 15370\n13212 14163\n8775 17579\n8337 19801\n12587 19072\n14166 17022\n4113 7398\n3577 10967\n5406 7913\n3872 5742\n8335 12979\n2363 17301\n5598 18106\n5636 9222\n5526 16472\n741 8670\n9984 13283\n2115 15921\n4719 15372\n11457 14603\n10548 12504\n2141 2737\n1078 15903\n9535 14090\n6649 14625\n10379 14007\n12036 16388\n11208 18096\n9899 18793\n2350 4505\n10393 13674\n4289 13934\n8174 15295\n10235 14300\n2885 7336\n2902 10730\n13936 19862\n761 9345\n17258 18920\n194 18937\n10873 15316\n6753 11795\n946 5052\n7535 18244\n1748 13132\n12009 19866\n2453 9853\n8729 10752\n9968 19864\n8790 14493\n17369 19257\n3668 6913\n14735 15846\n1027 14006\n14333 16714\n13773 20225\n1612 13729\n7371 11401\n13363 19118\n14690 15846\n186 13528\n858 8326\n14931 20224\n10587 14836\n2364 19582\n4061 15509\n176 7523\n3211 18656\n4070 13897\n1275 18830\n5390 14762\n1950 19106\n19411 19768\n4514 6891\n7809 16787\n17881 18018\n12561 14758\n7217 16628\n804 7547\n2934 6179\n3391 7663\n11602 12005\n2512 14349\n11506 18045\n234 7181\n4146 18490\n4697 13913\n1422 8613\n4155 15186\n1595 19748\n14975 15914\n11135 13517\n8328 15432\n5348 9257\n12999 15782\n14118 16524\n12111 19754\n3477 15922\n8119 16980\n10347 20220\n1269 10174\n12948 13221\n7105 14725\n4697 10243\n6151 8110\n2167 17646\n6752 19685\n495 18548\n858 1583\n18412 19121\n8324 16784\n1768 19068\n2801 16620\n3516 12916\n10873 19329\n1183 13489\n7791 15437\n10637 10842\n11283 12690\n6977 11059\n15855 16807\n3824 5284\n12325 15908\n6479 14054\n9918 15739\n12025 16286\n2163 10216\n9402 19542\n1046 8630\n1223 7967\n8910 10745\n355 3401\n11474 19718\n4330 10786\n1484 2919\n8179 19884\n4491 15958\n2940 4969\n3106 14496\n8618 15173\n808 10179\n265 12917\n12064 15994\n7283 15929\n5611 8656\n2477 11578\n9002 18779\n861 2313\n7604 14901\n16563 16719\n1979 4444\n9109 9876\n7886 12525\n4328 16833\n7452 20237\n2675 17402\n2792 7518\n14625 16263\n6182 16904\n3679 7260\n4173 10687\n3219 4422\n1506 18296\n16702 18171\n6880 8753\n11148 19067\n11309 18972\n7865 19969\n4583 8065\n2650 9801\n7945 9909\n2114 5317\n1415 6704\n1899 11636\n214 9666\n7685 9414\n13593 19987\n1420 12447\n8143 18226\n10200 13545\n2390 5157\n3462 14953\n5605 18569\n10173 18266\n17398 17970\n4041 17936\n8773 13010\n1361 17786\n976 13242\n6119 12490\n14782 19454\n187 14232\n111 4698\n9722 15839\n12721 14376\n15125 15918\n5178 14319\n326 17498\n4962 15548\n12134 14811\n12082 19166\n6841 17321\n11828 15560\n11265 15965\n454 19917\n1031 16160\n1914 15423\n9256 12451\n4687 10454\n282 17936\n15178 19234\n1225 14931\n11693 17343\n1309 13650\n2704 3402\n2415 3737\n12943 17019\n13144 14557\n9855 12682\n3828 14285\n1587 5788\n590 14852\n13080 17510\n4672 13134\n8353 15160\n9754 14903\n5434 19449\n10283 18537\n18234 18286\n5888 8017\n11963 16683\n10503 15627\n8618 19696\n6198 8035\n8456 9568\n8569 19670\n16376 16712\n10665 15521\n453 6146\n7390 19836\n12314 14163\n11032 13925\n2093 11171\n5844 12710\n9392 14973\n2504 15625\n1274 10997\n16069 17268\n17462 18866\n3675 20126\n7452 18230\n1912 6488\n12063 20081\n5513 17211\n13905 15044\n4387 19620\n170 8051\n11398 17282\n9809 14493\n6934 18243\n16524 16549\n12250 16447\n10044 12918\n8114 14540\n5316 11609\n11727 14098\n4853 11793\n7296 17097\n2735 5940\n17270 18749\n10048 15921\n7263 7598\n6381 13374\n7323 7893\n6420 14872\n18492 19622\n4798 5498\n8333 17160\n376 3531\n457 14112\n279 16174\n2052 4974\n6550 16441\n16352 19457\n4918 7543\n2647 17081\n602 10834\n4804 5001\n6179 10421\n344 8942\n709 5625\n457 9989\n12399 15783\n6692 17026\n3093 3829\n3655 5256\n9792 18638\n14230 19226\n13222 15099\n9628 15267\n17236 17682\n1113 17568\n3171 7799\n4885 16714\n3665 7612\n14552 18936\n6827 7213\n5292 17911\n5932 17245\n7474 11868\n2576 17296\n9008 10280\n11625 12549\n14539 19188\n3699 9887\n13060 17009\n17861 19439\n447 595\n2349 20011\n4498 10447\n3395 19405\n6132 14802\n7627 10688\n2941 11750\n9307 11881\n2120 9721\n1127 8632\n6173 17537\n8882 10219\n8529 17661\n269 17439\n4169 7340\n5705 14980\n4750 14149\n7685 13063\n4632 18605\n14986 19495\n12696 17622\n1437 17752\n94 12951\n14887 17465\n4218 19887\n6008 9428\n13740 13974\n793 3162\n9127 17120\n10784 15143\n2572 6448\n11210 13717\n6850 11929\n11182 19368\n1366 4797\n651 1631\n7950 16017\n6540 11994\n4389 17896\n3260 14660\n11799 18836\n2827 8966\n7540 18952\n4164 17854\n11215 19580\n11984 15339\n7406 15694\n14601 19527\n4718 9255\n6382 19286\n9266 10761\n13739 19031\n14841 15900\n10722 16247\n1258 2780\n1985 7947\n5239 15279\n8918 18221\n9513 17675\n5670 8519\n3851 19796\n5517 7410\n18165 19563\n3323 12624\n9320 13348\n375 20179\n2059 3876\n14016 19351\n11036 13119\n8501 17537\n10457 17729\n7420 18041\n601 4422\n934 18468\n1636 10354\n5069 14889\n5557 17808\n11316 13026\n1606 8502\n2371 13727\n16018 16350\n2443 8406\n17495 19369\n3658 15544\n205 17161\n209 6509\n7921 19949\n10150 18749\n15634 18526\n15143 16810\n8322 12228\n4833 19208\n8528 11639\n2720 20001\n3905 10183\n10758 17192\n17270 18690\n10031 16447\n2440 4273\n7721 10666\n13493 16905\n17626 18125\n436 7881\n5326 17808\n2304 7417\n11226 15804\n853 8454\n5529 16236\n3140 15061\n8183 14941\n5382 5826\n6349 7713\n1580 6125\n7165 16155\n3689 16556\n14832 16746\n16762 18247\n3569 12082\n223 9764\n2882 17610\n1045 3152\n2302 17456\n5299 18195\n12390 18214\n6551 7685\n1688 15517\n1235 19661\n7952 17982\n1836 14588\n3517 19135\n2929 18472\n1314 10457\n3597 15516\n12126 15777\n5159 12220\n908 16642\n17536 18216\n6158 20032\n4128 19185\n10713 18604\n890 18257\n9831 19178\n7041 12811\n5850 18497\n15522 16096\n9511 12940\n6423 8888\n8788 15092\n8068 18119\n4696 4901\n6218 8733\n982 7629\n12034 20053\n9426 12635\n6691 14248\n337 10622\n7718 12418\n846 5711\n383 7731\n10057 13532\n1242 19660\n2614 12464\n2581 10013\n7223 13019\n2804 16390\n124 15093\n13002 19979\n2707 14146\n3964 5088\n17981 19126\n14224 15404\n11257 14652\n1871 13774\n5157 6583\n5021 7522\n6479 7494\n6225 19620\n829 8698\n572 13012\n8699 10609\n6013 18441\n15593 18637\n18374 19686\n9193 13878\n16756 19748\n5841 19867\n660 2917\n17534 19264\n6127 13728\n5801 6344\n2967 14316\n15005 16763\n6077 16359\n10458 11786\n9646 19310\n1066 11315\n17558 19947\n17611 18384\n1742 20097\n4178 18785\n2381 14847\n14448 16112\n4417 15560\n517 3381\n2916 19613\n11177 19720\n6154 9366\n4951 12997\n1920 13447\n6993 18158\n3295 7506\n1198 13475\n6184 12906\n3506 11902\n4780 17712\n1622 11452\n3220 5496\n168 6485\n4970 9397\n6707 13407\n10371 16808\n14578 19021\n4277 4582\n4517 13483\n5865 14165\n5373 17035\n9089 13937\n8449 17612\n1348 5537\n5481 19029\n1914 10091\n924 17148\n9900 15482\n760 5420\n1491 9354\n3074 7166\n249 19478\n16482 19616\n1585 17088\n4104 17667\n691 3684\n14535 15787\n518 1700\n1016 14120\n11155 11819\n8976 19789\n9631 11134\n17328 18853\n13887 18592\n2753 6248\n9713 19077\n1632 15043\n6687 12408\n3250 14157\n4770 13846\n13056 19915\n1907 9666\n5554 13039\n3807 5691\n5004 12090\n12441 17993\n8837 11965\n9570 18905\n14632 17331\n7064 11131\n13205 18644\n1036 13664\n2451 7087\n7959 12670\n14871 17042\n1038 19133\n2980 8838\n2323 5692\n12369 17435\n5608 13867\n6518 18846\n4633 19552\n9853 15854\n8373 11978\n12396 17677\n8961 10273\n4605 10160\n5494 10441\n2855 6472\n16404 18244\n6249 17188\n4142 8807\n7520 19739\n14227 18905\n16408 17166\n1115 3223\n11700 13355\n47 10724\n13251 16007\n10680 20046\n15423 16770\n6124 17301\n2204 16736\n16715 19810\n4609 10912\n5800 12762\n10573 11314\n5533 15221\n5442 15984\n7104 10146\n4229 10255\n11676 12799\n11266 12771\n4797 18686\n5 15799\n10155 11312\n17653 20227\n7750 19880\n127 5656\n12554 18344\n648 5525\n2254 12877\n8901 13913\n11163 20213\n1341 10070\n8584 10033\n10363 18260\n11983 12127\n8563 19984\n6898 18634\n13140 18834\n9817 11129\n7880 13072\n13946 19785\n5896 18023\n6838 10318\n647 9485\n16122 17984\n2513 18502\n3904 19333\n2127 17213\n5535 17369\n11741 16062\n3539 19507\n13724 14721\n8238 19954\n6753 7283\n5685 17160\n182 16109\n5085 8150\n1706 9071\n4191 8075\n5337 7397\n4629 6477\n1819 11278\n5469 11597\n11118 11986\n2264 7382\n5586 5958\n1548 8483\n4941 19129\n11909 20108\n8537 10566\n3921 6708\n2495 14619\n13834 14455\n496 12316\n8384 8819\n10651 19244\n1038 14305\n1340 9966\n3632 14146\n13167 14797\n631 3044\n9292 13072\n8729 10546\n2164 12326\n17369 18345\n12488 15315\n10011 13187\n6456 17366\n6386 11568\n6597 13159\n12709 16600\n16791 16965\n481 16466\n8299 13249\n13413 16107\n6044 6817\n10496 16067\n3177 5875\n2983 12762\n649 4986\n8680 15459\n4393 5678\n9464 10627\n7063 16425\n6447 10699\n2044 4371\n4315 17057\n7466 14129\n7103 8385\n5561 17569\n153 19709\n9492 11721\n3056 9683\n6641 20011\n2429 13355\n3483 18487\n9175 19032\n7325 8610\n15852 16988\n8800 16308\n6478 18811\n12737 15925\n5011 11535\n12969 19302\n4399 13632\n3019 6626\n10959 12795\n8386 16523\n1424 14362\n15871 17124\n1988 11054\n318 9695\n8067 14024\n18172 20040\n491 15111\n1169 4584\n2077 3163\n11135 12422\n1251 14007\n7196 19256\n1048 11243\n194 1494\n5155 7808\n434 4739\n11866 17084\n1652 14326\n27 17364\n1462 14782\n6395 10331\n3815 14125\n11890 13698\n3067 14009\n15394 16990\n16086 17328\n4305 18803\n1000 15448\n13812 14631\n12688 18260\n5543 7802\n1723 18821\n9719 11691\n1271 2079\n3652 11747\n3283 6685\n6757 7656\n6011 13879\n2323 18743\n2850 18741\n8924 11731\n7096 11148\n10569 10670\n2673 8534\n243 14234\n2219 5125\n31 10795\n18707 19059\n11002 19106\n13909 14484\n15663 17330\n5227 11650\n7538 11564\n265 9245\n2624 2804\n3268 12387\n12706 13132\n5003 18369\n13251 13937\n18762 19961\n5418 19603\n17297 17980\n10197 11779\n7841 15690\n12304 15733\n9600 16247\n8235 14809\n7506 12301\n9881 15881\n11794 15265\n6600 18650\n12177 14329\n2051 3706\n3426 16539\n18029 19862\n15951 16198\n1955 14879\n11927 19643\n17172 19509\n6570 14004\n2688 15724\n12335 12497\n1737 2210\n14784 18244\n13862 16695\n988 9620\n3654 13919\n1403 13897\n664 4804\n1185 9829\n10100 14617\n4175 9631\n3988 11653\n16703 17160\n12340 18258\n7596 17991\n13991 18802\n8145 19336\n11953 18025\n3731 19856\n9177 19650\n8743 15695\n12725 18140\n8583 14453\n6160 12026\n806 12903\n17248 19785\n7107 9162\n7310 13070\n3586 8903\n12345 14479\n106 2318\n1216 18609\n6426 18924\n9624 15229\n4952 19987\n9877 17221\n3706 18535\n2791 18097\n8488 15891\n4291 17332\n5693 7064\n4618 12776\n14423 17371\n3981 15213\n7087 18134\n3138 4779\n1569 1972\n14368 17357\n3529 8896\n2748 8946\n10215 11884\n1771 15128\n502 19943\n13971 17022\n1170 7150\n14086 15001\n9379 19240\n2114 7672\n4579 17704\n17174 20254\n3811 16287\n6841 18655\n6057 15642\n4836 15580\n2810 20013\n2637 7441\n8514 12521\n3010 9893\n6522 20233\n5808 16673\n3367 16921\n2127 4519\n1426 12578\n6792 18327\n5277 12443\n6916 13516\n147 1918\n6229 16584\n16887 17479\n1112 19266\n4479 9039\n5996 18194\n17764 18021\n1105 9423\n5775 14772\n9442 19298\n6667 19696\n10423 20027\n2783 3553\n7419 16399\n11565 16708\n19223 19557\n19257 19954\n15124 15209\n15187 17245\n12793 18377\n17668 18678\n1369 16866\n3370 7105\n6386 15009\n5878 17691\n15091 19318\n643 7977\n4999 9933\n3867 18101\n19694 19743\n7986 16299\n14309 15428\n1367 19215\n8784 16906\n17599 18374\n5457 7769\n17115 18555\n7268 16425\n7633 11193\n9068 12777\n10750 18900\n16004 19058\n6335 8729\n14000 15905\n2681 11672\n2798 13617\n10359 11901\n16348 16939\n42 12654\n8481 12668\n1181 17229\n9590 10001\n2396 12242\n1825 16034\n13226 19337\n3972 10227\n4621 11402\n6032 19544\n15980 18796\n3764 12889\n787 1176\n6455 13381\n7582 16946\n4361 10404\n6366 6475\n2569 5980\n11327 16521\n110 2178\n5133 12642\n8057 10737\n10164 17807\n12196 19288\n15477 16900\n5261 18838\n2245 10879\n5990 15498\n14598 18206\n10136 14271\n6353 6873\n11705 18562\n10891 17780\n9582 12792\n4409 6837\n5011 7211\n7214 16996\n7613 17278\n6429 6830\n15668 16839\n3119 8951\n7 5677\n2548 8869\n7125 11612\n2648 5059\n803 15705\n12085 19182\n2349 2805\n588 13203\n2441 8413\n4722 8188\n5713 16765\n6702 9828\n11539 14413\n9635 15080\n5860 6148\n12114 17128\n1639 3128\n958 3016\n2923 17407\n8865 18218\n6507 19988\n10907 17048\n1310 7404\n6895 14852\n14560 19679\n4484 12970\n13139 16318\n4730 8674\n6988 15000\n1721 17707\n5874 7633\n192 8355\n3764 18782\n4947 13401\n3985 16764\n6111 11407\n16024 18744\n14580 15071\n51 8985\n9289 14199\n7393 11735\n11895 17656\n5543 19219\n5731 19618\n5861 13797\n6111 7093\n5475 18083\n7207 9983\n9742 16035\n5588 19425\n7845 8358\n10666 19455\n17852 19282\n3411 5616\n9157 10888\n14315 17222\n3498 13985\n4156 13464\n6435 18149\n12735 18537\n12338 19645\n12165 14620\n12511 12916\n10649 14958\n1462 16907\n13241 13764\n10885 14764\n11477 19602\n632 5264\n2332 7022\n10426 12912\n5864 7567\n50 13335\n3764 4698\n10121 14143\n4730 13429\n3514 9782\n4967 13233\n8281 14465\n16100 19400\n5376 16040\n10875 14552\n611 3942\n6795 16326\n223 17885\n14307 16695\n10915 17562\n8319 9838\n2210 9179\n7309 15503\n1507 8298\n16625 17548\n6922 7223\n8616 9779\n4259 15373\n3972 7294\n3425 13947\n1677 12827\n270 14472\n10455 15500\n2555 11254\n8297 16759\n18035 18867\n4894 11925\n3591 12383\n7906 9440\n13454 14156\n4461 5726\n12527 18028\n7494 16228\n10996 17726\n9379 12600\n10147 18104\n5328 11734\n5824 6733\n6786 11213\n13909 14792\n859 7900\n5076 8408\n6659 11652\n14657 16024\n13220 17022\n13443 17671\n10365 15858\n5553 8189\n4539 13748\n8635 17821\n14728 18185\n17833 19456\n7573 8950\n736 14251\n10829 14654\n11353 19393\n1196 12424\n13666 14905\n11813 16336\n13522 15104\n7243 11737\n15383 16778\n8049 17406\n11298 11700\n506 6405\n5312 19898\n8439 8821\n14262 18313\n14007 16960\n15962 16359\n4410 8100\n14997 15538\n6732 13238\n10645 17216\n14316 19899\n10928 20182\n2404 19796\n8860 12093\n4377 17826\n12989 17097\n2162 3928\n9035 14227\n7816 19505\n13112 16433\n4254 11285\n10102 11152\n8753 13039\n10451 16068\n14596 19425\n5147 5313\n896 3886\n4624 5290\n12346 18026\n12213 19993\n12048 15022\n3423 3857\n1467 14967\n12753 18533\n11847 16027\n3917 16514\n7745 16306\n7798 18210\n14343 18732\n1938 9699\n2704 12104\n7161 11562\n9342 13760\n1442 8344\n6096 11529\n16387 17313\n4983 11494\n4339 17793\n16893 17466\n6527 9820\n8471 13767\n6935 12034\n1537 12018\n3971 18399\n3249 9474\n2741 5952\n5479 12156\n1471 1980\n4857 13096\n4834 6786\n16341 20186\n14414 15597\n14706 18653\n2695 13890\n2898 10670\n1345 16342\n7938 12251\n8985 15280\n1219 7341\n8429 14674\n2349 12934\n10168 11503\n7443 18591\n15452 16234\n13089 14441\n1620 10915\n2548 12183\n7944 13803\n14697 19616\n1761 14376\n5461 9102\n9316 10303\n6201 18305\n7126 17753\n11131 11316\n6773 6790\n1770 19004\n7932 14454\n15890 18941\n3719 8480\n6994 7637\n3918 14264\n7641 10532\n16895 17934\n7479 13694\n12694 17335\n9732 19582\n9744 10514\n8403 9127\n789 8739\n8171 14186\n9381 10993\n17390 19704\n13067 18886\n6788 18759\n8884 15190\n14339 15324\n11174 11406\n10966 15623\n478 6341\n4207 14013\n10449 10844\n16861 19728\n9319 16354\n8030 13761\n5231 19835\n999 1139\n2941 5959\n5956 17669\n3010 14671\n2167 8907\n9239 11948\n10579 12751\n11003 15667\n4278 18260\n1449 19394\n1078 7311\n10105 14284\n2379 19488\n1275 13352\n2268 2450\n3177 10709\n74 18907\n9717 11519\n7387 8197\n11030 17845\n8036 10993\n2 6356\n13370 17909\n2398 7981\n3431 14823\n6065 7215\n3899 14460\n6462 15734\n19357 19695\n15430 15738\n3324 15250\n16398 19666\n10351 11550\n17459 18061\n4796 18721\n8714 11867\n1046 15874\n9405 12609\n6118 18041\n2131 2566\n6876 9841\n3932 5352\n12849 18703\n8774 12028\n7547 15560\n17228 19833\n12442 15017\n11566 18692\n8087 8181\n4337 8750\n13565 14902\n8645 17624\n929 19350\n9068 10484\n8573 11476\n3300 14566\n10198 17936\n1759 7347\n1254 10648\n7517 12923\n8323 18097\n15802 16333\n15228 19979\n5430 19980\n419 4035\n17774 19104\n2552 3777\n3779 6108\n7448 10230\n11853 13100\n7883 8090\n6631 10563\n844 19419\n7433 13307\n601 8749\n7545 11452\n2901 7969\n6767 10840\n237 14036\n3917 15557\n8428 17270\n4081 4849\n2724 9372\n1720 3378\n12636 17144\n12364 12996\n7897 17753\n5849 10878\n13937 16469\n707 19634\n7203 16720\n4126 16928\n15953 18760\n781 12408\n3078 5215\n5724 13718\n954 2842\n10881 15432\n3091 9238\n9986 18694\n4176 8843\n1742 12364\n1597 11058\n2744 13411\n4616 13778\n1390 16052\n6995 15802\n9551 10719\n5958 19694\n9603 19034\n1232 15550\n1694 7391\n1878 15920\n1728 6365\n1107 12985\n5979 18279\n14421 20212\n9562 13760\n1442 3922\n904 16584\n1523 11519\n4465 15751\n17539 19616\n7153 15838\n6002 16333\n8728 15275\n9225 11986\n5531 13962\n797 9381\n1062 14968\n12684 18553\n11713 12062\n2842 18947\n17062 19071\n15548 20155\n14476 17630\n6230 19253\n5830 13227\n7635 8415\n1547 7548\n1482 2850\n1733 12037\n17356 17670\n3607 19601\n11425 18992\n17458 17888\n1470 18002\n1437 4324\n816 1245\n2128 14002\n4212 11338\n6188 19657\n7481 19147\n5652 16622\n1439 15991\n8316 13276\n5402 18254\n3389 9390\n10638 16695\n2016 10691\n3784 15447\n1629 6208\n4172 8350\n7541 16489\n18623 18999\n1261 14036\n12139 19828\n3844 9548\n9023 12492\n2593 20254\n2469 12640\n6290 18395\n9015 14259\n18584 20118\n2867 18127\n2070 9086\n8068 11152\n11329 15829\n6866 17765\n3593 3721\n200 2256\n14371 16321\n4128 6876\n7149 19231\n1701 6206\n16962 18784\n13593 13605\n5690 16172\n15479 18698\n12454 15129\n216 19007\n1769 5403\n1846 16641\n10263 11838\n312 3976\n264 5782\n3372 10586\n7379 17397\n4464 14418\n2984 7393\n8229 10678\n13508 15374\n1607 19656\n2281 6536\n8009 10922\n1963 11571\n497 11773\n10630 19263\n7124 19944\n1390 13285\n8980 16831\n9976 16664\n2527 16013\n6701 10865\n6597 14727\n5072 8470\n16420 18323\n11294 18259\n6079 11264\n7410 15456\n11756 13007\n1711 5141\n1574 2698\n17459 19070\n10178 12381\n1682 10234\n5363 18988\n8020 13024\n2863 7357\n7833 15924\n6079 7172\n1540 1892\n15274 20111\n8439 9894\n3368 15859\n15563 16313\n4527 14509\n13107 17468\n2915 4701\n9562 14887\n7857 15611\n7713 17547\n3408 14596\n985 2103\n7379 16462\n9247 18171\n5312 16618\n333 11812\n4013 9739\n1950 7280\n5231 19412\n6533 12743\n10845 19905\n8 5468\n11701 14415\n3893 17952\n3713 19318\n4508 16457\n976 6927\n15216 16851\n10914 13384\n1768 17398\n6269 15739\n6866 14071\n6059 15617\n1741 17547\n1496 1728\n181 17045\n3670 16261\n11889 15377\n1580 7829\n10668 16298\n4812 17137\n1075 9730\n3422 7842\n6267 7629\n3635 4266\n14490 15406\n7529 10858\n7002 12745\n5177 6034\n8750 9651\n9982 14867\n5587 12421\n7021 10870\n2856 4652\n2000 5867\n171 1342\n7549 17503\n6393 10646\n2843 3698\n2781 11448\n4980 19054\n11948 14694\n5338 13961\n11143 18078\n5225 9090\n8410 18450\n13552 14821\n17374 18752\n1557 2065\n2937 19450\n19962 20200\n12845 14713\n4682 18317\n4752 14519\n14348 15253\n10227 11250\n2776 10186\n13323 13729\n16533 19921\n2109 16626\n11475 17742\n3653 16465\n4880 7246\n5614 12247\n11401 19052\n9802 12821\n1587 4735\n393 6455\n10383 13336\n5401 9497\n5156 16589\n5770 16154\n6804 10239\n12034 19176\n15159 15923\n1780 10783\n9170 11488\n3121 3676\n14031 17021\n4626 5784\n7925 17302\n2420 3284\n1936 17512\n11742 15492\n7661 12466\n5755 7373\n1406 13648\n759 7348\n11352 19767\n12772 17633\n9585 15603\n12710 19859\n9791 10986\n10999 17020\n6886 19853\n1804 13761\n10013 19341\n16322 20230\n3694 7587\n8505 16706\n3204 15352\n12196 12971\n2511 8308\n4423 10125\n12356 13581\n300 18184\n5851 7276\n1694 16518\n8547 10558\n4341 18512\n13576 15380\n5771 16970\n384 2030\n9708 18392\n3588 12369\n4743 7756\n3582 12408\n2021 16816\n9808 12475\n15210 19842\n9245 10766\n4042 11464\n19481 20028\n15735 17072\n1130 9757\n9644 11723\n5339 19972\n9878 17756\n4467 7543\n4521 12740\n1175 17211\n12443 19683\n10891 18804\n15046 15892\n6825 16967\n257 20224\n17359 18790\n1946 2985\n5981 6046\n1179 14888\n2863 16340\n5395 6136\n18546 18885\n4371 19711\n1668 11517\n5386 12472\n2018 18581\n16185 17409\n9108 15209\n3253 19585\n1173 2252\n6454 8744\n8253 9558\n2040 4683\n1145 11192\n11981 14244\n3418 15578\n10588 11360\n5095 7899\n892 5425\n3865 12766\n2869 9850\n2668 13419\n3177 14439\n10996 18431\n11882 15463\n11313 12757\n1053 11882\n2642 14469\n6074 10810\n114 19123\n4398 9797\n3585 6796\n6661 7934\n3108 11335\n3073 19360\n13347 13425\n16606 18143\n2282 18181\n16733 17464\n1982 16274\n7816 9384\n9522 11988\n5694 13962\n13573 14716\n4871 7643\n2533 13722\n7874 17596\n992 1478\n1736 6434\n4534 9735\n8719 17975\n13401 14262\n9924 10666\n10064 18742\n11124 19640\n7826 11692\n8864 16862\n8476 9178\n2858 19276\n2077 19860\n12720 17052\n9821 10655\n10820 12751\n9829 14758\n18809 19057\n3821 11942\n5273 13642\n7077 13951\n4168 20249\n15229 19849\n9229 13800\n524 19794\n7645 15600\n12223 15644\n4984 13270\n940 5377\n4656 13986\n13232 19600\n3027 14175\n4417 15912\n8339 15274\n3923 10147\n767 1894\n85 16095\n4327 11497\n5649 8107\n1369 6020\n19232 19695\n7828 12637\n4769 18790\n3520 19049\n6246 14963\n1665 5554\n2906 13189\n1558 19464\n10497 11678\n8978 19890\n1105 7131\n12844 16152\n4760 18113\n1806 8063\n774 3848\n11567 14092\n4673 16946\n5997 12749\n11956 18809\n156 17591\n7195 8699\n2255 9228\n7717 10709\n275 1608\n3502 9714\n5663 12826\n10706 10762\n10098 10118\n11569 13626\n10413 15483\n1302 16696\n3839 17321\n5766 12853\n1690 6018\n11449 20046\n3561 13623\n6312 16402\n16362 19150\n12264 14894\n9225 18448\n3436 7558\n5309 12399\n97 10809\n5796 13286\n1880 10100\n7095 19418\n1028 5413\n2142 17815\n16813 17380\n3282 18180\n2570 12961\n14017 17191\n6537 14910\n2540 17139\n1600 16679\n6888 15887\n18714 19069\n4934 18772\n3152 19776\n8194 12469\n7172 18781\n5297 9284\n13742 17904\n2786 5768\n14514 18282\n1640 17295\n1252 13412\n6543 16558\n11938 19052\n5882 12368\n8672 13278\n5183 11710\n11066 11153\n7568 12119\n13169 15750\n13954 16715\n7262 14137\n4893 9726\n9043 17118\n16135 16878\n10255 11343\n16785 16888\n2266 5318\n3723 4124\n5926 14977\n3688 18934\n8496 17859\n5785 17335\n1984 14253\n7109 16363\n13961 18906\n552 16074\n1958 11401\n2309 5301\n2346 18363\n3606 17109\n1043 13239\n4386 14489\n4230 19850\n332 7395\n5995 13812\n17780 19283\n8750 19981\n10523 17157\n6528 19693\n16560 19426\n8042 18085\n613 2715\n1712 19077\n4844 11526\n8609 19662\n8187 18374\n2958 19302\n6295 10596\n6667 19260\n5480 13895\n3124 17346\n8938 12807\n5127 5843\n3245 14220\n8339 13381\n10486 11482\n1114 19973\n741 20099\n9020 11990\n6415 19240\n1252 16656\n1927 7302\n4449 4671\n1529 14460\n164 17912\n270 5293\n4427 8339\n16220 17216\n1010 12349\n8542 13207\n444 12666\n3625 14927\n5373 20023\n11940 13331\n3674 18418\n4770 14205\n3043 17893\n8698 15129\n1631 8335\n13739 16441\n7597 12880\n5734 18469\n1354 16322\n6343 11636\n10368 15077\n4972 18815\n6139 6580\n7693 16907\n8824 19553\n6862 7977\n15372 17677\n1419 5115\n132 15093\n2450 16090\n5535 11839\n1453 13037\n4910 6119\n995 16909\n9121 13847\n12988 18161\n15606 17083\n12801 16083\n2816 10993\n12140 19990\n2524 3512\n15874 17873\n5623 13147\n4501 7755\n19265 19591\n3063 17787\n5704 17800\n8871 19007\n1221 1236\n7091 7868\n7640 11115\n4657 10745\n3959 14480\n6508 9264\n4373 15039\n14663 15384\n1887 14906\n5039 15182\n4422 19719\n4376 6798\n7658 19255\n8433 13047\n9338 15436\n4506 5425\n2577 2728\n16659 18356\n3385 14052\n1911 16175\n9787 18955\n10453 17226\n1135 17637\n7216 9354\n1371 14294\n18276 18478\n13807 20272\n8962 19029\n620 13485\n8391 10554\n10557 18348\n2565 13570\n8752 19856\n11972 15084\n15210 18590\n14584 15484\n698 775\n12696 13715\n10330 16433\n4313 18170\n6642 7082\n2881 8273\n3478 3657\n9890 11618\n262 7451\n8496 19264\n16505 17045\n6236 12713\n5848 14398\n1271 15091\n1834 17994\n6933 17685\n4434 6926\n2009 12360\n6155 10049\n13497 18438\n7154 10592\n506 17559\n14299 16527\n3025 12740\n9599 10372\n1545 18008\n1789 7967\n9411 19010\n10282 18108\n9710 16417\n4428 6926\n3659 17521\n5782 14805\n4772 5282\n2490 7459\n12160 17823\n4390 14938\n3429 4321\n2180 19156\n7318 10423\n4952 11792\n736 2452\n2835 12527\n8183 10685\n2981 15389\n2037 9989\n6134 7722\n7005 18025\n2490 15904\n4060 18502\n2204 6572\n13676 14331\n11263 16383\n4927 6494\n1272 4057\n15157 18760\n12779 14340\n2804 16506\n1291 3858\n6730 6883\n8519 14370\n15407 16692\n5219 6750\n7645 16573\n2775 11129\n7420 10952\n2801 18865\n7284 10490\n9827 18402\n11832 13683\n3543 8017\n2318 16160\n9280 19537\n7479 13483\n3570 12988\n7795 15327\n7420 11862\n6992 11397\n6288 16715\n3363 7885\n8239 11431\n11896 16332\n7261 15196\n7166 14043\n734 17981\n5789 18199\n631 14657\n5321 18714\n13293 17895\n8960 9164\n2191 15430\n12639 12694\n1474 8341\n12922 18954\n9583 19264\n7865 15241\n4735 5553\n13104 18587\n1778 17349\n10353 17645\n6602 13371\n4094 19639\n14149 19931\n4720 17399\n7416 16456\n898 17698\n1032 16838\n14287 17966\n8109 17841\n5935 18322\n5204 8661\n533 9070\n9056 14452\n533 7343\n6971 18690\n200 10964\n860 15797\n7765 10963\n1388 5898\n3778 6332\n11083 16874\n11450 17887\n15560 18116\n7349 17034\n8643 18511\n1328 1606\n3779 5421\n9390 19507\n6964 7501\n11992 17253\n6458 13606\n8089 15976\n1883 12175\n2440 13962\n524 12646\n2724 13718\n7063 14307\n15346 16645\n1368 13158\n15764 18883\n13421 19513\n11275 12055\n7397 16436\n12055 18435\n1035 17051\n16367 20232\n16878 19051\n5994 15763\n1595 12945\n13710 15193\n3852 18053\n14368 17816\n4258 12435\n19379 19491\n14020 17206\n6824 19454\n9877 16919\n2286 18215\n7050 15100\n7804 8426\n16051 17193\n15812 17620\n162 679\n2909 7508\n4459 15650\n6533 13977\n3933 6134\n8412 13539\n551 5314\n8548 10173\n6509 16633\n160 6699\n5811 16634\n2090 7944\n6561 8692\n13374 14173\n3332 13955\n6595 19176\n6021 7202\n6186 11171\n426 5869\n1100 3163\n2405 17627\n3909 14348\n10403 20032\n8385 10083\n1150 2727\n9742 14579\n2203 18589\n1838 18127\n3069 11850\n13473 19084\n10412 11793\n16245 17084\n3180 15223\n12965 15385\n944 13126\n6708 10546\n910 5521\n14420 17586\n535 7862\n11844 16159\n1925 2447\n1368 6257\n3511 4715\n4909 12729\n518 1643\n6629 12218\n3409 9089\n15298 15775\n13208 19130\n1716 17005\n12034 14194\n4849 5648\n9509 14335\n6475 11137\n6862 14157\n9430 14895\n9420 11634\n7046 9584\n2370 8383\n422 9834\n1496 7325\n15692 17202\n10163 18958\n41 17039\n5748 7071\n10371 16306\n3204 10965\n680 1144\n16303 16307\n8048 16057\n5403 14065\n19365 19581\n5590 12600\n12409 12695\n5582 8647\n6409 17023\n4946 12481\n3842 20073\n10531 14369\n3184 13322\n3024 16880\n11174 11625\n2062 16069\n18370 19576\n9549 12415\n1253 4119\n1409 17381\n4011 7885\n11275 13797\n9730 10371\n11993 13410\n1417 13634\n16747 19738\n6193 13763\n6067 17846\n2550 11335\n10678 14214\n2952 5570\n6195 12993\n2136 2244\n7413 9508\n4639 6716\n4769 19682\n1758 10864\n11153 15970\n5033 14696\n9626 16317\n4128 13309\n4705 4930\n8213 14226\n983 10624\n2147 2678\n322 6951\n1857 19526\n4744 7322\n2071 17097\n5579 6798\n455 17370\n5499 19362\n356 8068\n16023 19601\n831 4607\n6026 19512\n4148 8868\n17246 18401\n6399 9547\n13664 15506\n10692 14988\n63 9859\n2240 7440\n9661 10458\n3735 4021\n5438 5709\n3583 16178\n16631 17343\n3692 8224\n5916 15281\n4414 19179\n5852 11817\n373 17698\n8368 12522\n13775 14302\n4177 19201\n3380 7514\n3017 3347\n232 12742\n5352 7714\n1963 6948\n8746 9916\n14467 15273\n4976 15501\n668 9914\n13305 16012\n9623 14644\n2865 17266\n17354 19368\n2656 6448\n6155 6940\n1397 13699\n302 1062\n8457 17975\n2729 13240\n7685 15996\n9350 13249\n6130 15188\n5671 6631\n6229 15946\n2079 5369\n7243 14663\n10812 19157\n10266 11908\n10661 17628\n11194 13471\n18202 19469\n4779 19803\n18685 19799\n16713 16998\n5313 8350\n815 11280\n11118 12420\n3744 15680\n4125 10633\n1533 9785\n2218 4041\n10209 16754\n10854 15884\n8645 11238\n5656 19922\n4566 13519\n1723 5589\n6159 15158\n5569 12848\n8857 19704\n2484 7815\n4126 14782\n792 18995\n12914 16548\n3009 10293\n13359 17325\n1972 12194\n1614 11350\n1635 3584\n14988 16968\n993 6250\n8232 15478\n3397 4129\n3885 18939\n8362 16184\n1215 8273\n4811 9678\n5185 12567\n209 9248\n3518 7400\n13967 15737\n5759 15484\n5718 13155\n7346 18404\n3653 4680\n9774 11732\n9180 20070\n12083 18556\n9007 11681\n10948 18438\n7282 19441\n5816 18668\n7217 12200\n4065 17047\n3583 8477\n17075 17256\n6242 12997\n4659 18280\n4657 9154\n18657 19131\n14697 19804\n16604 17406\n6584 17709\n13815 14264\n9518 11867\n960 18775\n1492 17181\n5381 12390\n2751 6740\n16099 19265\n13048 16356\n11481 18044\n12594 14561\n11734 12825\n1744 2954\n6323 15508\n12863 16115\n16374 19902\n1580 12327\n696 6175\n7689 11735\n3949 8304\n3459 5769\n3669 10299\n12651 16382\n1823 16902\n1134 11598\n657 8848\n7341 12261\n6256 14749\n5001 18993\n11632 12948\n473 17760\n6799 12378\n3623 5913\n2862 13323\n8775 15781\n8035 16893\n11928 13170\n2344 15351\n2203 2651\n3940 13531\n182 11492\n792 15257\n7869 18078\n9506 16645\n6093 10197\n7176 19107\n3755 5529\n218 6556\n5915 17913\n16983 17225\n430 18375\n8877 19156\n4665 19269\n8111 16778\n6816 11848\n18575 18806\n1005 13236\n6542 6751\n1226 7107\n16028 17110\n854 2673\n13167 19743\n5264 10420\n2272 14842\n10797 15000\n627 16117\n8765 12890\n3149 12110\n12223 12804\n15987 16485\n365 2356\n923 8711\n4900 18763\n3244 6126\n30 14741\n2898 7745\n19183 19355\n12862 15479\n795 16436\n1780 20184\n8390 18809\n414 7037\n12805 20073\n6765 12172\n4152 14725\n3818 18987\n3953 9726\n494 6700\n13539 13831\n1292 19437\n15812 16928\n12826 18382\n10218 17457\n6549 14355\n2928 9176\n12381 19238\n14317 18769\n100 18062\n12735 19185\n7505 17408\n1812 4264\n73 8344\n12296 18061\n6615 13130\n74 12579\n11032 19747\n1868 17926\n5359 15020\n2198 18345\n5044 7494\n7009 15354\n3351 15691\n8804 10294\n16848 19434\n5171 18965\n7053 11556\n9972 11273\n1722 3459\n18290 20143\n1170 15176\n8276 10583\n740 14922\n9470 11748\n97 10103\n4053 7394\n2819 4240\n11672 17831\n1899 3151\n1674 5542\n14755 15858\n9603 19972\n16784 19575\n8536 15153\n2796 6577\n16016 16577\n12851 17218\n4975 13671\n2235 10557\n5253 14240\n2486 19319\n7118 17626\n6011 20135\n700 11913\n10946 14885\n9264 13675\n875 936\n598 13777\n8476 17915\n2041 14084\n1682 3050\n615 7985\n12820 15126\n11716 12641\n3326 10700\n15153 18788\n3543 8478\n834 4213\n6798 8404\n15471 18212\n6341 6927\n1719 10722\n10567 18660\n6082 19323\n14580 16067\n3519 16525\n446 16011\n2230 18387\n1745 3232\n5811 12451\n5685 19613\n9677 19055\n6665 9777\n2223 12844\n8338 18888\n4058 8411\n15440 16788\n3071 10255\n2825 2849\n17159 18115\n2900 5627\n1202 12328\n1390 8649\n8513 13108\n16183 19951\n10050 17238\n584 13516\n3556 14418\n7801 8761\n13073 19776\n1940 7731\n4838 8010\n18117 20210\n7704 8455\n5356 6355\n16580 19465\n5572 19175\n6901 8420\n6535 19018\n1471 8158\n11004 11409\n4441 15779\n994 7291\n2280 8221\n6299 12925\n10522 18631\n4875 10985\n6460 11866\n8071 15288\n2560 7508\n12005 17382\n668 4316\n596 16627\n11191 12874\n8751 16129\n127 15076\n19192 19391\n8044 13843\n12343 17693\n9105 12882\n4203 7216\n1309 13488\n9835 19328\n714 2322\n876 14971\n15680 17019\n938 8740\n6878 13211\n9299 18429\n6199 19272\n4606 15640\n3141 4939\n4040 9884\n7389 10813\n7367 8932\n12366 19706\n5854 15940\n3838 16508\n6862 15420\n2229 6452\n3292 10994\n7257 15629\n14417 17983\n7010 16512\n13928 17136\n6305 17068\n7614 8151\n11403 17949\n1526 17895\n3181 8708\n2232 6128\n7672 10258\n5211 6372\n17109 17773\n2317 6703\n10811 10826\n16354 18237\n12895 13557\n852 15608\n12951 19381\n9537 17382\n10028 19631\n6205 17675\n1308 5252\n16506 18480\n10009 17612\n1968 11233\n3736 20230\n7359 17952\n5149 13577\n2586 16165\n13435 16746\n4054 7093\n2969 7851\n8099 10974\n110 8683\n5931 10051\n11350 13467\n1231 9301\n3971 10583\n2371 5045\n240 2201\n925 13312\n6708 11292\n14135 17791\n811 10745\n2077 15104\n2891 14873\n7542 14387\n11261 18365\n7594 11042\n16558 16981\n745 6547\n6810 8781\n1685 15127\n7765 15139\n4634 5266\n6903 11562\n526 12762\n10963 14115\n53 19606\n4853 13969\n703 4169\n5797 11374\n2968 7112\n2163 14014\n3153 5718\n4185 13049\n1944 6760\n14536 15505\n11326 17221\n4783 17417\n5154 17143\n3038 18687\n6975 18020\n4367 4464\n14164 16652\n16326 19353\n3557 12235\n13910 18354\n8558 13956\n13448 19684\n5416 14611\n6846 8156\n5389 13374\n9632 10784\n6225 6415\n7715 15803\n11109 18427\n8587 11756\n89 5692\n4164 16859\n656 16852\n8631 13856\n1470 14606\n3505 11735\n5054 9344\n265 9385\n1880 11612\n2513 7792\n241 11380\n11018 11861\n11773 18704\n2194 15604\n9178 13810\n5465 15045\n8606 8979\n18173 20095\n3487 3735\n9232 9914\n11140 13255\n12145 14486\n4941 5939\n5333 14004\n18870 19872\n8735 10415\n4358 10530\n946 11449\n194 3106\n9561 18890\n5312 8152\n4506 16748\n9282 12714\n3645 19116\n8340 15610\n6930 14340\n5863 5923\n2285 3634\n4218 13606\n11734 13563\n10272 14612\n14012 18426\n4542 10223\n891 15051\n7232 9458\n7840 11224\n14643 15440\n10810 13541\n2907 16544\n14914 17076\n4213 6991\n1084 11329\n15456 16948\n8879 12086\n8081 8557\n5673 9015\n5413 6129\n3712 11913\n2298 5367\n9336 11334\n3217 16980\n7164 16992\n11035 11115\n5882 12090\n5963 12072\n7667 15789\n5305 17882\n6174 17625\n1892 20184\n11585 17074\n5082 11029\n13701 17908\n6089 13645\n14713 17136\n3792 8263\n3056 5464\n3918 4057\n10156 15792\n5601 5651\n2935 2938\n415 3101\n2852 16691\n2488 16177\n398 10588\n5338 6656\n13930 20261\n1317 5444\n1201 2774\n2336 9017\n2739 13398\n17159 19103\n1855 10768\n15358 18462\n496 2885\n3345 19333\n16061 18102\n6351 6474\n328 10373\n1357 10931\n10354 19715\n360 17752\n8200 18333\n8767 19711\n693 17869\n17341 19050\n10200 10981\n4750 12666\n12951 16661\n3258 8667\n656 9494\n4650 6603\n7851 14406\n7040 16399\n12163 15762\n45 17634\n1362 2238\n1616 4967\n4399 8086\n3756 12313\n9633 17269\n13308 17773\n6257 10047\n5023 17342\n13488 14737\n2819 18596\n5515 15436\n12088 17054\n1808 11905\n3552 19764\n5439 8635\n886 1975\n7068 19327\n11387 17049\n377 7488\n10677 16020\n7076 14060\n2610 2914\n7383 10807\n5033 10219\n10293 19031\n9159 17583\n9222 13036\n6731 6750\n10765 16613\n2427 19976\n10377 14595\n6562 8890\n17904 17930\n1113 10705\n13154 16931\n4627 19763\n673 17010\n15539 18104\n8909 11334\n10010 14916\n1861 15565\n7343 9759\n3400 17907\n1114 13652\n10571 12471\n2399 14693\n2172 16904\n2772 17026\n2971 3449\n7480 14880\n10439 20219\n7861 9088\n6247 8548\n6144 13054\n3507 11143\n9095 18352\n9542 12954\n12658 17141\n8917 18132\n3281 4451\n5617 6583\n642 6022\n17664 19644\n8738 14713\n3198 11055\n3707 13365\n275 16293\n1573 12274\n15902 18186\n484 18880\n3918 17134\n1844 11368\n7771 13274\n10739 17036\n14174 18020\n7152 20143\n6015 18082\n1859 15772\n8154 16971\n4534 8500\n10221 18710\n6601 16916\n5809 6288\n17600 17888\n14167 19304\n2915 19664\n9542 13966\n2749 16363\n1191 16654\n10824 11093\n9804 14513\n270 8133\n9963 15854\n5583 19472\n1585 18146\n7259 16035\n1043 13639\n8491 14610\n2476 8316\n13244 16127\n105 14531\n4047 8273\n6420 12916\n8024 9685\n14011 17212\n9446 19740\n13321 19007\n2062 19963\n253 14793\n8565 18104\n6313 8974\n1412 19714\n1961 2416\n1610 6172\n4017 6690\n15352 16104\n2963 3034\n7797 16949\n2417 6441\n15744 17790\n6248 18652\n5220 18264\n6959 20126\n2469 18129\n15795 19146\n5292 11016\n7479 19044\n3811 8802\n6820 7162\n10154 10676\n1549 9005\n10793 17777\n11391 16205\n7378 19669\n7507 11152\n13839 15723\n5138 19109\n5548 14596\n1852 11353\n4390 5075\n1548 1856\n8026 11417\n380 18815\n13963 18103\n17860 20168\n1893 9312\n3037 9167\n3354 11207\n1648 3834\n16530 17081\n5956 6384\n12941 17535\n2706 7212\n11233 19191\n2061 9422\n1158 3294\n3653 12420\n9146 18666\n1751 14919\n3864 7004\n16300 17430\n3717 19288\n2098 9788\n451 5872\n215 4227\n7868 10636\n2602 20152\n5926 12926\n10311 14168\n2288 2772\n1751 3948\n13116 19462\n9761 13938\n5746 11635\n6018 19660\n168 15864\n5240 5678\n3753 12881\n7931 19685\n5807 16345\n18368 19447\n13121 18597\n3557 15035\n10845 14399\n831 11370\n1041 4206\n399 4337\n430 9519\n2470 13540\n7782 8224\n8928 12611\n4143 19855\n2294 8696\n1113 16689\n7626 8021\n14679 17295\n1527 19158\n2207 13593\n2643 5112\n1376 7351\n17245 18406\n370 15918\n13082 13091\n11720 15393\n470 16968\n3425 12374\n8063 19733\n13956 17118\n8367 9691\n597 10939\n16604 19380\n1690 7942\n7063 17231\n3760 19609\n2494 17942\n316 1608\n13768 16133\n11379 15049\n2509 4170\n4865 19492\n15507 16852\n8227 11244\n3935 8508\n8424 16379\n2048 20243\n37 8165\n711 9948\n5262 6692\n5534 12717\n1359 5078\n9271 12124\n3324 9071\n2086 13430\n2477 11428\n19467 19769\n128 3686\n16447 18436\n757 10263\n2791 17553\n11993 12785\n11715 17240\n1143 11404\n9797 11708\n3367 5040\n7160 12871\n2478 19154\n9086 19128\n7312 15201\n5097 15427\n6984 9427\n6713 11906\n425 17403\n6269 18505\n346 3680\n3178 19583\n10093 17783\n2715 16660\n6668 19879\n1595 3875\n5220 8230\n2347 4941\n4386 11111\n11422 13053\n11614 12533\n3516 17961\n5461 15848\n5905 6686\n11126 12199\n9034 9700\n5581 10761\n2893 13736\n34 6309\n14605 15946\n166 10924\n4544 19339\n2690 15640\n6147 10804\n4749 19429\n12157 17372\n11830 15755\n17600 19159\n3490 6539\n13428 19791\n8241 16635\n3143 16962\n9414 19065\n12357 12661\n9336 18003\n6363 15282\n2721 12181\n13972 14228\n5538 15252\n8192 19919\n11237 14354\n1352 5259\n4685 6018\n8851 18402\n2304 5694\n6796 19588\n550 16299\n13636 16135\n8680 17439\n9405 17044\n3818 13992\n15872 20060\n7335 16663\n9277 17039\n5843 10695\n18129 20236\n7148 11477\n5549 8916\n16678 18745\n9419 13980\n7163 9272\n8840 11484\n13283 19849\n127 7514\n15884 16954\n858 9585\n3552 4598\n5755 19269\n4693 7727\n8099 15320\n16053 19191\n304 623\n4099 5272\n4229 14495\n1994 4220\n476 12525\n13143 14069\n7640 16744\n6924 13523\n9483 10280\n5918 16058\n5610 15116\n4920 12113\n17646 18761\n9943 17499\n279 6285\n490 18642\n1632 3716\n14859 16474\n5410 13804\n1767 12622\n15965 16044\n3768 4643\n7265 7540\n6977 9003\n14593 18425\n15618 17277\n7995 14837\n581 4795\n4080 14633\n8394 9325\n3326 4212\n16384 18438\n12617 17755\n12795 16830\n1385 17995\n5887 12515\n1946 3815\n5821 5858\n6599 13095\n6691 19060\n8497 11189\n13550 19188\n10317 20262\n3614 13565\n10328 11249\n16009 18867\n303 14407\n8940 11467\n17052 18975\n15918 18820\n450 15371\n3182 14321\n10427 18814\n12111 16537\n2058 12083\n12099 17018\n6362 8111\n3217 16553\n18804 20060\n6416 6905\n10802 15601\n14607 18223\n3296 17938\n519 5063\n1179 18051\n780 10446\n12914 16611\n8975 10798\n74 3966\n10352 16477\n12996 14505\n2169 19455\n4991 6114\n1685 4085\n250 10800\n1793 14411\n15496 16874\n1867 2308\n3801 9572\n2642 6051\n12790 15244\n958 13653\n3386 6513\n1604 1755\n14281 16626\n8552 19295\n11803 19404\n13734 18615\n7824 18554\n1327 5179\n6650 7457\n8366 16641\n3036 8032\n11607 18835\n4959 13601\n17840 20159\n14502 18586\n745 6076\n5117 10202\n8671 15482\n6167 16128\n12042 16490\n1601 2436\n4338 8207\n3820 7930\n7349 17575\n7131 7711\n9090 9321\n14325 17565\n9930 9937\n10593 12564\n9537 13646\n8259 20103\n7341 13044\n13810 16928\n223 565\n1117 16340\n4504 6088\n1035 6081\n7282 13493\n5986 12247\n14629 18334\n5923 16488\n8843 12535\n11805 12707\n11590 17343\n8573 17157\n2981 17189\n1071 17898\n13049 16075\n7716 17269\n4756 5447\n5024 19386\n9849 17911\n9932 15161\n2306 10388\n7925 19526\n9075 12437\n2357 19501\n12475 17838\n8726 13832\n2556 17495\n7317 16447\n6370 16340\n10970 16993\n6492 12498\n9895 16468\n7804 10860\n245 12222\n9451 18994\n11580 13935\n2885 17292\n7535 14654\n10773 19879\n6165 19108\n3656 7660\n10171 17162\n8495 14046\n12495 16616\n940 3299\n3321 10453\n15792 17879\n2529 8961\n5659 16455\n2070 14301\n5004 7685\n3973 14579\n3784 7013\n1142 4119\n15905 18022\n3824 11324\n3291 6487\n851 10620\n4567 18060\n1711 13198\n12635 15094\n3964 11898\n251 18738\n5940 10112\n5480 9636\n4868 16970\n14315 14369\n1060 3489\n601 18801\n11557 15876\n4668 20167\n14480 16026\n2591 3216\n13018 15092\n3818 13847\n3934 16009\n6871 10901\n5534 14329\n8679 16598\n286 3110\n423 17383\n17370 17841\n460 18237\n12170 12873\n10074 20268\n2669 7668\n13101 14410\n12084 17505\n9859 11629\n3604 13512\n1722 2863\n7441 10178\n5085 17926\n14946 20070\n4128 12558\n3585 9343\n12235 17771\n1722 9971\n17905 18536\n3563 15403\n9484 17228\n2772 11803\n5386 8212\n1599 4413\n109 18980\n3094 11993\n10507 15617\n8933 9830\n13706 20117\n14310 14839\n5799 16692\n7215 16154\n8013 19859\n11466 12041\n5319 8740\n1501 14166\n11074 14245\n5791 19829\n2322 3219\n10172 11026\n11614 13295\n9555 15402\n14764 19019\n3391 13767\n10293 17853\n16745 17327\n1777 8943\n5123 12906\n118 11328\n1580 16432\n9501 16957\n6099 20268\n4767 13858\n10514 19253\n12639 17175\n3676 4311\n11787 15063\n3947 7062\n2343 12436\n3381 13525\n2366 9255\n742 18500\n6059 12938\n1717 10391\n10494 12921\n6988 16121\n4042 16840\n5483 6377\n11511 14233\n3623 14200\n5928 17739\n2474 2611\n8838 16382\n1839 9018\n3734 10145\n8378 9663\n2699 15379\n4474 19928\n5605 13375\n7155 10147\n12611 18063\n13636 18328\n9183 20133\n5055 18628\n4128 6650\n10267 19118\n2009 17549\n2467 14172\n4003 18112\n6226 7629\n12704 12955\n462 18372\n11096 16072\n1035 6418\n5904 18334\n12862 15949\n7920 18498\n1107 5139\n6838 17900\n6187 19548\n713 9147\n449 11072\n6781 11899\n11023 12419\n7098 17878\n16878 18030\n7572 13774\n11721 16295\n3598 14156\n9179 9851\n13411 15600\n6704 13327\n9274 10618\n9054 13245\n17431 18282\n12407 16051\n1954 3237\n1482 17730\n13599 14592\n6375 18834\n10761 15134\n7065 18974\n10666 11978\n718 17723\n13303 18441\n2365 17443\n4349 14162\n7216 8859\n2536 5854\n1191 10863\n3110 9146\n8085 19878\n19081 19643\n10339 11291\n7078 11612\n17163 17841\n13388 15125\n8697 18986\n637 9163\n11616 14504\n3179 6011\n12689 13677\n12095 17992\n11783 11996\n493 823\n3521 11712\n11100 12094\n13800 19890\n7675 19334\n651 17739\n14150 14420\n12186 16497\n15478 16793\n10640 11965\n2600 13504\n5682 7740\n1501 11382\n10437 16708\n2202 7896\n10904 14899\n10800 12995\n3398 13696\n8266 18993\n2116 7636\n12896 14825\n1333 2211\n11201 20074\n6111 12593\n15684 17423\n10923 18735\n1758 12875\n5290 16218\n194 7653\n5689 14399\n5203 5433\n2204 9981\n5328 14224\n3175 11134\n4899 20035\n2214 6575\n3049 3874\n12935 13232\n11408 13172\n10054 11360\n10828 12086\n7653 16618\n5678 6589\n729 19636\n10155 11475\n17022 18102\n6652 11051\n3200 18417\n2424 18040\n11064 16736\n2926 13641\n5575 7872\n15235 19146\n5168 13510\n15790 17333\n1045 6842\n2195 2424\n11632 14120\n6241 12795\n109 16811\n1012 15520\n3040 15117\n19382 19813\n1494 4184\n4157 4452\n5730 9960\n7849 14866\n10886 19182\n1239 5716\n8546 16160\n12619 16047\n3373 17913\n3206 4704\n1589 9247\n9330 13164\n8001 10245\n2792 3379\n7300 16202\n11101 16930\n13370 13607\n7912 9943\n4540 12498\n4950 6037\n2395 17273\n3066 11024\n53 13558\n16912 17754\n4664 6151\n997 17803\n3282 8888\n10744 13472\n7314 12599\n9874 13990\n5496 18471\n31 19453\n5360 15335\n9804 18179\n4236 20212\n10324 13204\n3774 13561\n9834 18203\n13824 18123\n105 19407\n1132 17785\n4070 19368\n2545 17054\n162 9448\n14749 15871\n4615 14813\n6943 9158\n8833 17678\n3859 9736\n3219 18413\n10307 16344\n4460 4925\n8393 11753\n5956 12994\n7307 8504\n279 2862\n14620 16393\n9155 11087\n17927 19526\n3243 13453\n3237 6213\n8005 16690\n13242 17917\n16757 19703\n2696 3458\n14833 15020\n1137 5502\n7018 11432\n324 3612\n9727 15559\n8409 9377\n5876 14288\n5574 7076\n14767 17262\n4483 14111\n15990 18473\n1570 15268\n11275 19781\n1805 6398\n6271 13879\n1216 6268\n547 9947\n4855 6606\n1135 15397\n1256 12384\n4597 11588\n4495 7774\n8715 19571\n3893 14207\n937 9892\n3463 19469\n3196 4141\n264 2906\n15943 16446\n6414 17929\n16481 17634\n2938 16576\n116 10350\n525 11185\n6854 12623\n9648 15819\n559 2794\n10622 12433\n3043 3719\n2328 13554\n3398 12897\n9725 12152\n13093 13975\n9583 13745\n13778 16795\n5400 6957\n3368 6549\n3101 8598\n9977 10311\n4708 8772\n14552 20155\n14684 14903\n4431 16220\n5070 10974\n3624 13275\n4257 4628\n11872 19143\n3282 13509\n2219 10614\n16312 19632\n5558 11429\n6815 11611\n14786 17009\n13280 13984\n307 9300\n688 11176\n13992 16673\n5662 15364\n1330 5945\n7055 8396\n11874 16119\n5645 16365\n6111 10886\n5214 16936\n16250 20231\n4910 6363\n6417 18372\n2129 6415\n3264 19076\n14224 18498\n10141 18816\n8622 11370\n6369 10701\n15517 19889\n10559 16248\n1861 15535\n5354 7823\n7223 10687\n13439 20000\n11142 18818\n4675 18998\n11963 19787\n13092 19323\n11641 14043\n1120 12166\n11804 17569\n12535 17502\n13501 17056\n11314 18093\n4800 5287\n402 3265\n139 11794\n11057 14608\n3226 18691\n5297 16586\n9055 10224\n4946 16484\n11334 14733\n10355 17739\n4350 6353\n13151 14561\n2188 3977\n4034 19553\n10246 19778\n5336 16946\n9945 14823\n16029 16341\n1089 8969\n2149 3998\n4702 16818\n5172 19510\n478 4054\n15976 18369\n1687 16470\n5597 8213\n5512 7788\n394 14143\n4967 16013\n2620 19498\n3073 12542\n2590 4536\n7440 17094\n1808 2919\n1676 2508\n4951 6413\n2232 13463\n5265 8436\n8591 18898\n15381 17435\n1086 4865\n5233 18457\n502 4730\n14183 18123\n6633 14253\n9777 18648\n1198 16569\n5018 8671\n19397 20093\n2274 10791\n11651 15572\n10521 13799\n10358 13395\n2722 10026\n15787 18532\n7314 12406\n15463 18272\n5795 17062\n4540 7423\n12809 19197\n15285 17451\n16240 16535\n2426 2492\n8733 16868\n4092 12309\n5732 19889\n6670 10672\n2664 11273\n6414 11527\n13713 16422\n3737 16182\n5364 5558\n10176 13311\n3236 20065\n7354 10928\n14107 18447\n10528 20083\n5214 13858\n16239 16573\n893 17920\n2831 4233\n7273 14366\n5095 18730\n2985 8984\n2279 5311\n7673 9654\n12338 18243\n1629 12528\n3080 15490\n8160 20253\n10959 14101\n12979 13128\n4788 18946\n7324 15293\n9024 12223\n4447 13959\n2584 8736\n7395 16955\n1665 14361\n18569 18962\n1941 13835\n1046 10424\n9992 12200\n10790 16668\n4678 12408\n3984 14776\n6359 10056\n7798 16509\n14824 18915\n15290 17751\n4314 11278\n3764 13748\n12567 19930\n2993 11629\n1762 8601\n17735 20257\n2190 17209\n1606 19890\n4867 14333\n6218 10412\n13433 19012\n3416 12780\n12242 15110\n6905 19300\n3477 9340\n11812 19146\n1504 15100\n11451 19225\n7354 16375\n5763 13781\n6200 15246\n13151 16577\n223 517\n10437 20180\n11408 14159\n1643 9044\n7615 17152\n1659 10112\n3429 12609\n16298 20173\n1735 9763\n2776 16548\n15271 15346\n1536 14002\n464 15428\n6704 11798\n7283 15323\n5670 11480\n9427 12730\n4537 11865\n15218 16036\n11638 15239\n6626 15156\n3406 8823\n2810 19366\n5493 17652\n1447 3877\n979 18448\n9741 18615\n2476 13629\n14887 15543\n5651 14589\n5758 19109\n11546 13656\n1212 5520\n497 9087\n7916 11032\n10769 10864\n14670 17185\n6513 8961\n18555 19330\n15396 19476\n922 1411\n1951 15165\n406 5187\n1622 7634\n17490 17763\n8059 13555\n569 19793\n16785 18915\n1943 5349\n1228 9772\n11345 15838\n15681 19734\n8033 17362\n7596 15268\n3568 10811\n3789 12511\n1286 1687\n6194 11906\n1218 18627\n2049 11450\n11695 19941\n5310 5341\n9896 13042\n15427 19186\n13476 17917\n8253 15299\n7568 14845\n3714 6357\n2149 7295\n10276 19107\n8453 13654\n13621 20172\n1019 14555\n2565 18211\n18721 19103\n456 19347\n2147 14595\n1321 3125\n5987 17836\n10615 13471\n866 2196\n12336 15185\n4563 11584\n2720 14704\n4985 12638\n17648 19863\n1795 12696\n2580 2732\n3170 10127\n1748 4740\n1962 4334\n5976 12548\n4754 12300\n14945 18525\n11155 12994\n14479 19817\n1413 12102\n10830 14769\n2701 13118\n10207 17895\n14750 17027\n5296 10963\n8315 11834\n1907 5038\n4836 14125\n3666 9463\n3825 8235\n11107 17259\n13195 17742\n4945 16222\n11781 16619\n3001 11922\n9432 14353\n13496 13672\n4910 16311\n4916 9237\n4097 18985\n6743 7247\n2439 14518\n5094 18162\n1654 13720\n3628 18803\n9848 13221\n1476 13670\n17346 19540\n4575 11623\n15655 15923\n2180 8376\n5605 7552\n2547 16199\n8932 10265\n10746 19825\n5262 11207\n1353 8169\n12645 18250\n11675 13758\n9311 10499\n3966 19352\n3167 6347\n16972 19369\n225 18246\n3479 7915\n10824 19209\n83 7763\n6113 9967\n14397 18234\n3452 3866\n6681 11209\n16633 19107\n2260 3638\n3139 13413\n11343 13209\n4594 9161\n4729 14085\n6906 15566\n641 15106\n6837 19834\n12719 14328\n12145 14167\n13032 14227\n7729 16763\n620 4006\n11910 14189\n12188 18052\n13486 18818\n11107 14164\n1580 9847\n10780 14252\n3263 13607\n10012 18980\n4583 12439\n742 9577\n930 12181\n12916 18478\n2066 16108\n1437 8392\n12618 14442\n6100 8576\n8225 13570\n17505 19266\n4324 9604\n9754 15595\n2851 9551\n13266 16743\n2102 11894\n5641 9626\n1272 11631\n2921 3249\n10288 13354\n6364 11665\n7537 11114\n1071 8473\n5689 13492\n2372 5858\n4678 12626\n15 1038\n226 18403\n6092 7498\n3188 19335\n4911 6769\n9862 15076\n3853 11812\n4933 15969\n6444 7657\n2908 16917\n6955 19248\n8071 9812\n4273 13840\n7 14099\n427 8816\n4322 12451\n5624 14739\n6544 7733\n4884 7440\n5353 8288\n6179 12407\n5337 8747\n3718 19480\n1511 5686\n16583 19563\n3285 11106\n9946 10460\n12283 15095\n1243 15481\n1529 15501\n1540 12055\n3242 11700\n1182 6232\n2668 2921\n897 12422\n5078 7231\n3319 14286\n12609 17092\n1092 20082\n14520 16306\n5808 19077\n5348 7754\n12251 15920\n15028 16362\n693 2807\n2587 5107\n4936 10083\n931 14546\n13786 18646\n803 9328\n10784 13543\n5306 18774\n11261 18342\n6621 10954\n886 18756\n9276 16847\n13845 17713\n6159 13016\n7369 7884\n12769 15979\n10959 17646\n7510 7880\n299 6291\n2007 4958\n3145 7165\n3470 7113\n57 1330\n3914 17897\n3678 8114\n4384 13631\n10330 15916\n7349 9421\n6710 7645\n4537 14972\n18667 18948\n17641 18544\n3566 7920\n14097 17464\n10952 17149\n7574 15700\n10311 18559\n8917 14783\n5974 17172\n1904 3698\n8374 17671\n10835 11021\n3580 6435\n16047 20268\n11516 16427\n1328 17428\n214 20009\n3020 10182\n11089 18245\n13947 19907\n952 6116\n1613 17019\n9365 18076\n7016 17408\n11443 15992\n6586 6813\n10097 12561\n14841 15679\n1017 12026\n507 17149\n6533 18721\n11120 14534\n9078 15040\n10861 14388\n13048 14211\n14790 17769\n4096 19316\n814 1407\n14005 18678\n6704 12494\n3510 17218\n3134 6183\n4507 19727\n16638 19672\n27 6085\n13339 13434\n5727 19305\n667 19426\n1718 18738\n7767 12156\n17304 18351\n8971 10461\n6703 13623\n3428 12326\n9731 11191\n16670 18120\n15199 17217\n16917 19801\n2090 11137\n952 6223\n5827 14625\n1761 7008\n6427 11386\n6529 13898\n2194 16756\n11124 19256\n12854 13570\n4386 10909\n8157 13413\n5922 6830\n926 18017\n9085 14661\n2343 11642\n10008 14932\n4268 8948\n6616 19440\n8204 19795\n13218 14585\n17010 17523\n1003 6116\n13732 15619\n7435 20268\n9076 11977\n4901 17405\n4144 8546\n6643 13367\n15883 19451\n1810 13927\n1404 14810\n15238 17967\n2690 13715\n3055 8628\n8308 19672\n3600 12790\n11762 12272\n7602 9789\n101 2153\n5213 7041\n9548 11759\n3977 17775\n1800 1895\n823 9111\n1134 2802\n9267 15305\n9604 14575\n2012 11890\n2841 16257\n2121 6135\n6768 20220\n5090 10124\n2399 19221\n570 3367\n14882 16054\n16857 19617\n4547 4808\n1703 7226\n8552 11607\n9933 20203\n9498 12345\n2567 5012\n329 11820\n13116 13475\n8454 10341\n7056 12763\n12781 18111\n821 1374\n1886 6929\n5493 14023\n7887 11141\n4262 7612\n1153 15466\n1481 12750\n6999 10462\n10022 19683\n2275 19265\n14982 17149\n4333 4561\n5900 18784\n4126 10746\n12212 19991\n9223 16008\n7486 9396\n9116 11756\n1571 14542\n12303 16193\n356 9891\n4132 17013\n12419 18955\n12349 15713\n5430 9197\n14384 19315\n6245 11760\n5014 18135\n2345 7110\n1736 13468\n2260 17868\n309 19989\n5117 13084\n3322 17095\n7047 8564\n11737 14449\n1053 2989\n9865 14150\n5307 15774\n3941 14431\n10889 13701\n3112 3467\n5048 11113\n2411 9615\n15773 17410\n8415 17507\n11076 18354\n7745 11131\n14847 17586\n12488 19150\n10841 18417\n13235 15997\n9387 9506\n1294 10407\n442 4708\n1938 8943\n6912 18840\n8646 11782\n13572 19916\n8898 10805\n12081 18165\n1478 4389\n8009 11784\n5354 13687\n2363 5730\n14046 15112\n12386 18531\n12700 14042\n1743 12442\n8241 13798\n4018 4535\n8750 10526\n984 1478\n13295 16090\n9096 9701\n6209 17077\n1532 8540\n7399 13119\n1293 12835\n13506 16218\n1800 8967\n92 18901\n6130 11742\n9891 12217\n2160 18558\n1167 8699\n535 15987\n9506 10132\n1185 6381\n12003 17313\n16604 18013\n2499 9246\n18627 20287\n12036 19338\n3950 15014\n13170 19051\n6127 6662\n3047 16872\n2424 4874\n855 16396\n7464 15930\n7621 18944\n16426 18415\n863 10105\n1395 11750\n1798 3850\n8330 11102\n9527 18314\n6351 12269\n7912 10539\n12184 13144\n14263 16055\n6923 17625\n7600 11920\n16752 17936\n3601 10052\n3865 4356\n13447 16613\n2402 3405\n6777 9545\n1149 1607\n2768 3593\n9774 18369\n7319 12801\n10101 12482\n11504 11778\n8896 18879\n3041 7613\n16278 20215\n1378 6285\n703 1457\n12933 15842\n1517 5333\n8293 13676\n9506 16827\n5271 15256\n17058 17664\n4718 5750\n4917 6286\n5550 18908\n5448 6481\n13262 14973\n10736 10775\n9583 15728\n1747 9758\n6169 12003\n14076 19915\n6676 8601\n4704 16469\n4811 9295\n1410 4914\n2528 16238\n5256 17600\n1975 12109\n3021 18568\n2188 14954\n10059 12348\n4907 10551\n2633 15244\n2776 5191\n3222 4921\n3637 12415\n12625 15635\n11200 13269\n10281 19411\n1704 13570\n3175 19465\n17931 18948\n2240 4912\n12390 19021\n4244 15367\n10616 17288\n2586 17445\n13864 18251\n5066 5559\n3095 6691\n74 18414\n2611 17327\n2671 13502\n15334 16577\n4936 11524\n3880 16181\n602 3778\n13618 14695\n15210 16455\n3866 11725\n8259 9707\n5832 14644\n6843 17870\n12906 17881\n7386 9239\n1911 17107\n3157 17046\n16638 19089\n4692 8101\n14159 17709\n18138 18247\n6235 19802\n12196 18796\n12839 14448\n4052 10550\n4739 12451\n2992 12194\n14756 15666\n5236 10567\n505 14151\n5692 15759\n2783 14832\n2369 4367\n2632 16294\n2897 8775\n10334 17219\n3711 5509\n684 4882\n7727 8508\n10469 14559\n4414 13283\n4627 9640\n6862 13424\n2926 9525\n17934 19070\n1429 19184\n8491 16001\n11293 14220\n19053 20034\n4598 10159\n4650 5261\n13621 18261\n16972 18565\n3525 13053\n4381 15869\n11092 17501\n14983 18796\n2665 10192\n4117 17091\n2012 2840\n12930 16652\n3646 10312\n5339 13193\n3470 17074\n1377 3516\n6041 14196\n11283 11673\n2273 19075\n5224 10142\n10114 16871\n4288 10540\n1406 1726\n8853 15688\n4408 14173\n14707 14950\n5305 15348\n4899 17659\n2618 18711\n22 17285\n5997 9841\n1161 4452\n127 1966\n5178 7647\n6196 14025\n2175 7160\n12023 13090\n8742 16693\n3616 19067\n5439 12254\n915 13782\n6629 17416\n1207 1396\n10584 15413\n1196 15010\n73 6197\n14223 19796\n1127 2712\n12251 12620\n9631 16267\n9787 19399\n11552 13830\n11342 17266\n10723 13235\n4375 16949\n3411 9768\n12609 15118\n1143 15710\n3207 9160\n3365 14992\n10948 11627\n8978 17240\n676 10105\n8063 13138\n3862 8878\n12230 13799\n6756 10001\n2190 5360\n4677 17350\n2526 4317\n8965 16932\n14747 19904\n7899 7928\n3862 14226\n3079 19516\n11087 11994\n3445 14279\n16815 17478\n7203 14110\n5104 6831\n7370 13287\n1195 1982\n12919 14157\n13375 15058\n830 15983\n4807 15383\n3330 5765\n5086 9478\n4812 11891\n3925 6518\n11150 13001\n12773 18696\n6894 9722\n10112 20248\n3374 11818\n2011 17824\n8616 10712\n6640 7464\n982 12027\n345 14644\n690 18477\n10582 17132\n8697 15264\n6923 9847\n13680 16889\n6707 12994\n8190 15078\n2170 11833\n2047 2070\n3857 13302\n7083 11041\n6283 11704\n12050 18094\n4422 13721\n3636 7222\n16940 18998\n13134 17795\n11965 15744\n538 759\n14162 14260\n1201 4457\n6189 18476\n12011 18243\n12794 18771\n7785 19012\n5051 7786\n17765 17862\n699 10178\n10014 10744\n22 10223\n6804 10850\n13420 16484\n1255 20109\n8802 20180\n900 8380\n12163 12351\n5175 13622\n4777 19396\n3739 14487\n13761 14800\n8771 17706\n9112 17099\n297 2801\n919 17779\n1367 11106\n2512 7064\n6481 15802\n15484 18119\n6473 10571\n2108 7496\n10443 19683\n8189 11233\n2867 15556\n13649 15642\n8367 18161\n73 18848\n10216 14593\n5238 6077\n3884 19400\n8764 17575\n12676 19254\n10549 16920\n7842 10157\n1542 3141\n4763 14230\n9102 17096\n5299 19834\n1074 7172\n13024 15349\n2661 11081\n3664 8621\n2734 4955\n1339 13304\n18 6443\n901 3754\n7612 14297\n6639 7622\n7782 17861\n12130 15513\n5399 15323\n1107 14263\n2830 18692\n9674 15213\n4093 11213\n12334 17067\n305 4299\n3126 18166\n2930 15931\n1421 7059\n884 4426\n9390 10752\n745 2765\n10941 18202\n43 8445\n8392 14597\n6789 7565\n3357 5531\n6004 12338\n2742 15608\n6240 15445\n1582 8482\n5743 14706\n191 18116\n16103 16628\n13456 19828\n13314 17775\n11275 19453\n11803 14152\n2870 8201\n260 18467\n10738 10835\n6061 11194\n6330 18184\n3377 6399\n2763 4308\n7091 8495\n2767 11038\n14390 18960\n17569 18936\n8364 12869\n10619 12539\n3520 14520\n7079 18394\n11900 17044\n10219 16206\n3408 12624\n4523 10738\n11612 16092\n4861 5625\n8611 15869\n3406 7961\n10678 16161\n16251 17494\n10461 15101\n3422 11518\n10621 15132\n5507 12705\n1939 4518\n43 4731\n5650 9654\n6209 10807\n9382 14253\n271 11530\n5817 13271\n8249 11545\n4112 9491\n9456 11384\n297 2427\n6114 10029\n14120 19577\n1043 18664\n8296 17282\n474 4031\n14366 18313\n646 5402\n6871 15278\n10702 11265\n6193 6898\n3957 8901\n8764 15113\n6050 15138\n1900 5652\n13911 15293\n15828 17090\n2944 14145\n1217 16729\n7544 17558\n11145 11419\n1776 3283\n3228 10918\n31 10389\n1702 8669\n3065 18998\n2604 3514\n11461 18457\n3621 13439\n686 16582\n13412 17960\n9343 14010\n3047 19785\n8525 16159\n159 13115\n5370 17844\n11785 19975\n963 16161\n2175 2615\n2071 5852\n1985 10039\n1019 5925\n11275 18140\n585 5287\n8340 8553\n5391 8065\n3721 10136\n1990 17001\n14689 15493\n4503 5395\n8142 13061\n9027 18713\n6614 8795\n1078 7229\n7872 16607\n101 11081\n7907 13403\n1040 16510\n246 13099\n10834 17388\n7126 8946\n7578 20147\n1363 9351\n4085 11893\n5583 16220\n11486 16554\n514 8140\n6501 14411\n332 19698\n6093 12894\n8091 16314\n11186 18198\n9687 16803\n7818 15030\n2402 14352\n10799 13180\n6323 12093\n7573 15211\n1285 4989\n6757 8422\n3055 15682\n3080 4843\n8120 10835\n11526 15536\n3625 14785\n4463 16085\n8874 19652\n7999 13748\n9845 14033\n4522 8721\n4496 13022\n2932 8272\n12442 12522\n15587 20064\n7168 16543\n15968 16267\n8976 9028\n7443 9405\n12978 19827\n17893 18534\n9814 12454\n11568 13780\n7368 19738\n2239 4652\n14284 16126\n9575 14621\n6321 6562\n2303 16216\n7170 8496\n8284 9322\n13171 17255\n5954 20193\n18520 20265\n5525 9218\n13731 14998\n1890 18676\n10184 11594\n15137 17273\n14052 17539\n8275 14868\n16184 18556\n5775 16298\n10674 20016\n17084 17362\n2904 5255\n11841 15928\n7605 11264\n158 6292\n7495 15864\n4805 9294\n989 15676\n813 5915\n14269 19469\n156 15332\n11973 18095\n8811 13153\n8582 16880\n12862 13148\n9398 15757\n8830 14582\n6061 18810\n4361 18924\n18258 19949\n13110 16281\n3562 6915\n4779 14269\n6309 15078\n4396 12960\n3056 16907\n11819 12036\n10616 18207\n14119 19605\n2103 6823\n3168 6065\n1577 2779\n3396 6267\n11169 17889\n6028 13270\n5568 12819\n5891 16021\n9097 10652\n179 8962\n4750 5449\n8692 11414\n6899 17934\n3207 17053\n84 9454\n6489 18814\n773 5871\n15634 16027\n2090 8508\n5119 11598\n2026 5093\n7176 19322\n4429 9465\n12111 19601\n5008 5824\n3890 11155\n408 8826\n1408 5106\n1765 2623\n15555 18660\n4674 10840\n2325 15612\n2295 6590\n376 16705\n1189 7129\n4636 9130\n1624 19187\n4691 8719\n14526 18735\n3117 9354\n2884 12745\n2907 14443\n3836 10498\n1363 11824\n445 18928\n3082 7851\n7370 15209\n9383 10079\n12078 13734\n195 9849\n13409 17913\n13323 18657\n13633 19282\n16008 17294\n9531 15342\n15653 19942\n15784 18207\n4448 16846\n1551 4745\n9381 9688\n9199 11196\n3243 7796\n3023 18717\n14442 17844\n12438 16253\n9901 17966\n5933 13616\n9035 17707\n558 7869\n3738 5968\n2095 8158\n3766 14617\n665 3213\n3442 4069\n6432 14462\n12451 14315\n2519 15392\n9710 12320\n7273 8079\n3855 6058\n2134 10922\n9818 15040\n2712 11861\n9590 19255\n18410 19754\n11369 13303\n4736 7171\n1415 6962\n8974 15794\n5682 12783\n10817 17205\n9086 15125\n14234 14747\n3514 5393\n8459 18777\n14607 19119\n3362 16904\n4976 11100\n6678 10488\n14867 15563\n11609 14467\n18405 19938\n17106 18169\n16006 16102\n4789 6270\n2391 19214\n12057 13377\n1144 7763\n2537 11601\n9569 15416\n9347 12432\n15099 16678\n1352 1986\n10906 13356\n8034 19515\n4710 6239\n13562 17078\n8663 9799\n4000 9672\n10002 16346\n467 15095\n6102 10924\n7942 16956\n1514 8956\n213 13321\n3163 9872\n13694 16022\n880 6819\n4812 11472\n4661 17542\n9116 14327\n5514 18846\n7345 19129\n9623 15650\n541 8425\n11672 17167\n13410 15621\n11403 15575\n3642 19610\n9257 19299\n11858 12616\n6642 7015\n7079 16657\n13390 14355\n5249 18932\n6910 12886\n8129 15844\n5685 10976\n7013 12497\n1854 18707\n7900 18185\n1339 10248\n12200 17915\n15757 16870\n1824 11316\n12792 15155\n2029 6532\n14697 15800\n6841 18769\n11738 15906\n13718 17331\n4390 8893\n627 3596\n5948 18763\n161 14889\n18031 19882\n3877 13748\n17017 20109\n6315 7170\n2263 19666\n3993 9313\n6810 15655\n7652 14328\n3457 19051\n3488 8997\n2210 14620\n7197 12825\n657 4808\n518 7592\n7669 10041\n9307 17493\n7171 15953\n2401 15142\n4325 16448\n1287 3472\n12261 17674\n992 3987\n13992 14547\n8913 9904\n5819 14887\n15737 19217\n198 14128\n6635 12768\n7356 8420\n16487 17644\n9984 17904\n13619 14433\n8905 16063\n6821 12697\n13035 17748\n14625 15765\n2215 4528\n6827 7999\n6124 19134\n1006 9355\n1943 2323\n5545 9136\n10236 17336\n12554 13312\n7516 7870\n14599 19702\n4055 19212\n1231 6523\n2569 12610\n10457 18597\n6932 12035\n1372 13276\n6271 14216\n862 11826\n6076 7853\n1795 16401\n18769 19583\n3646 13091\n1965 13712\n6170 18402\n11993 12008\n1068 19003\n3752 14304\n10623 18506\n144 1608\n3752 18324\n4578 8034\n485 20229\n9311 15311\n9606 17754\n6173 7971\n7123 11310\n7446 7583\n10054 13825\n6084 17014\n9800 10448\n7824 18148\n5938 15688\n17402 19475\n729 7787\n14982 15390\n2706 12435\n9084 16859\n4894 17020\n6653 15400\n6260 17659\n5286 19714\n13500 15859\n3532 9172\n14214 14504\n3032 6592\n4040 8648\n5177 5443\n6088 17232\n7815 7953\n5865 15566\n3665 17287\n2556 9803\n13852 14859\n9523 19491\n3494 9583\n6143 19762\n1359 13199\n6764 13630\n8092 15692\n1804 6326\n1153 5819\n4066 9242\n11735 17387\n3713 19480\n677 15879\n1281 13765\n180 8556\n3106 3658\n3285 17539\n2863 12353\n188 16049\n5054 7704\n6548 13082\n1621 7873\n2054 17226\n10084 10202\n4785 15256\n13927 19606\n2909 12382\n4338 5185\n3967 18064\n5233 10892\n2426 19366\n585 11079\n6200 12845\n4781 19181\n1338 16615\n221 2895\n4555 7463\n598 13411\n7849 10958\n7501 12760\n5712 7843\n1574 16112\n304 1108\n7113 8047\n18274 20244\n18143 18561\n5779 18102\n5227 19901\n1431 6665\n3332 18683\n8473 8608\n5582 12447\n6661 17345\n4497 15058\n4500 6824\n2126 10136\n969 18723\n265 3237\n13126 19274\n8576 19564\n4011 11909\n12788 15091\n15713 17385\n3113 15220\n6944 19451\n11067 19004\n6926 8380\n8063 13826\n11941 14191\n1062 10944\n9974 10754\n9016 17422\n1438 15194\n12255 12946\n635 1542\n6918 13810\n8919 14799\n14127 18036\n2815 18913\n6597 13510\n9230 14041\n2213 2454\n3610 10233\n1478 2530\n16540 19492\n1746 11200\n5650 8112\n17930 18749\n1194 11890\n16886 19877\n17964 18862\n9758 14956\n1925 9213\n5751 11567\n3501 7613\n9792 13933\n19212 19215\n4048 6478\n3772 19508\n1498 5109\n1412 4132\n3999 15982\n6811 10765\n14686 17317\n1202 19942\n17332 18182\n6208 17795\n2941 19020\n4816 4981\n16098 18053\n2446 19923\n9794 17871\n8215 10330\n92 11468\n8747 14125\n1184 6043\n1536 3451\n3917 4542\n12321 18404\n3188 4439\n15069 15937\n12697 14236\n83 4198\n4775 15079\n1156 15165\n12992 18704\n10138 14061\n1998 14285\n11787 12386\n12904 16347\n7454 17737\n17401 18308\n3821 8636\n9855 13656\n5168 8021\n4801 11607\n3518 9826\n4589 7543\n1543 14163\n8985 14078\n1767 10101\n4155 15158\n5964 11788\n12376 19887\n15879 19161\n4399 19979\n4694 5617\n12960 14280\n11867 14762\n490 5401\n606 1873\n1388 10124\n17805 18871\n4344 10449\n2971 12828\n11693 17291\n4115 8869\n487 5398\n15785 20060\n5160 17389\n10488 17858\n575 13867\n2636 9199\n5307 11616\n7342 11964\n16183 18508\n2099 9248\n3250 19532\n3700 5400\n11759 13975\n1951 11171\n4274 10062\n11435 15695\n5704 17906\n5047 15707\n15817 19380\n2651 5773\n2539 14418\n14576 14996\n2422 3178\n1102 9379\n2034 5125\n16445 17454\n7453 10370\n5431 11555\n10284 15023\n9544 17525\n6443 14795\n6810 10550\n11580 18800\n5754 9701\n6141 15187\n17548 18354\n17385 17621\n9641 20182\n10778 19043\n2544 4613\n8943 17911\n2112 5787\n4035 19729\n17956 18230\n4498 10297\n4674 6479\n846 16214\n1116 2964\n1500 3352\n316 11015\n3560 3581\n1329 7458\n8223 19136\n10642 20055\n5208 16729\n1389 4528\n12089 16843\n15926 18080\n12421 19617\n4452 5288\n12507 18642\n10876 18431\n940 8596\n15119 19163\n1564 19257\n11041 17896\n18346 19662\n3758 19048\n3507 5760\n5423 7717\n8343 11174\n4036 8644\n10172 11574\n2011 4377\n2916 10900\n10592 19910\n13666 16308\n740 3439\n65 272\n4919 17643\n6377 16746\n14 9642\n913 15976\n3054 5925\n10396 12964\n9641 11458\n1186 4953\n706 16506\n5665 6250\n17720 19989\n7178 7742\n7643 19521\n6880 12267\n5737 11207\n10405 16547\n350 9472\n6433 10223\n3899 15322\n7750 18514\n8614 19294\n216 17876\n7648 8861\n8550 9798\n182 20126\n3724 14207\n12298 19217\n13112 20260\n6285 8900\n4760 6696\n4916 16722\n2321 3051\n7182 14705\n7597 15410\n8793 14199\n11363 19269\n805 18494\n6212 6905\n2006 15663\n339 8401\n2019 12812\n15522 19801\n12816 13077\n6035 6429\n1083 2519\n2602 14264\n10255 19556\n7071 15938\n6357 17851\n4628 8830\n9078 11715\n2505 16229\n1880 5725\n12418 13220\n352 1620\n10355 13726\n3119 6435\n5884 14732\n1796 15180\n3959 16230\n9974 10134\n1287 13889\n15282 18989\n3503 15348\n977 2525\n4302 7220\n4159 19654\n5544 20004\n6853 18573\n14729 16474\n10193 14743\n14747 15764\n747 1332\n3572 15889\n777 7029\n5282 9115\n283 15552\n10377 11086\n3820 13558\n12742 19499\n1098 8781\n10124 12046\n15186 20053\n1159 13690\n6205 10172\n6903 17433\n2969 19449\n2444 8331\n10758 11826\n12214 16634\n7117 7210\n661 4263\n14977 19577\n4839 19648\n3047 7712\n8926 14587\n3601 4256\n2538 11352\n15908 19329\n4934 18353\n7291 13156\n458 2116\n720 16934\n17895 18403\n6511 11089\n6953 10429\n6835 14520\n6418 9187\n80 4323\n3333 9320\n5392 20254\n18933 20118\n596 15134\n3121 10644\n8082 8274\n17979 18468\n8598 13101\n4789 4963\n4815 18589\n15111 19577\n2678 4912\n1437 13889\n2670 8074\n16609 19460\n16206 19416\n2840 8506\n11435 14750\n14198 14603\n7993 18056\n6845 13990\n13059 15407\n4766 5032\n14908 15578\n5960 14251\n2928 6065\n4342 6964\n17891 17926\n966 4565\n12700 14210\n4670 17008\n5966 18702\n7769 19332\n15378 15651\n1913 12592\n15847 17955\n14878 14962\n5680 8209\n1717 16198\n3597 5533\n5036 15162\n12260 15915\n8543 19778\n6381 19383\n1381 9156\n4800 9515\n5760 15208\n10105 19160\n3624 5567\n2695 8974\n8014 8473\n11531 18937\n9516 14843\n1980 18587\n9739 18389\n2282 16675\n9009 15310\n5540 11652\n7348 16664\n7305 9818\n4520 7662\n17029 18522\n2196 13675\n17004 18844\n6899 13007\n5120 6287\n3649 10583\n5409 10051\n18933 20071\n10236 16561\n3189 6832\n8740 10648\n8858 17559\n5016 12034\n1388 3383\n3281 11607\n2556 18735\n6964 18881\n1562 16612\n902 19717\n6111 8888\n961 17940\n2084 9434\n179 9079\n680 12865\n2046 17746\n4670 7548\n7686 12704\n908 15062\n4405 12359\n6812 19130\n1211 6806\n12785 16541\n13145 17326\n3670 10835\n15071 17589\n18497 20167\n9412 18716\n4685 19088\n16378 17581\n767 8771\n16978 17245\n7954 9652\n4714 7945\n2308 18820\n11518 19550\n13224 18658\n1885 11391\n7477 10670\n10375 18796\n4166 5411\n7679 17321\n6841 19355\n1326 8931\n7801 8776\n11850 15960\n12362 12409\n5538 6694\n5152 17293\n8412 12119\n9427 15577\n16124 19572\n6089 8612\n1251 6655\n7950 8490\n16667 18569\n75 9522\n9281 15323\n2554 12167\n663 5645\n1399 18690\n13328 16981\n7774 11339\n12048 19704\n6649 18060\n962 4021\n6972 7822\n8273 15394\n6307 16999\n10993 13051\n2034 9316\n16106 16797\n5107 19940\n5217 16088\n14228 17509\n7180 19607\n9417 19335\n1603 4378\n2029 14241\n10037 14123\n10244 15417\n3939 16774\n1576 9891\n6165 15280\n13309 17173\n1237 8531\n4831 16721\n1179 16252\n17444 20270\n4866 12996\n13811 14263\n7901 15507\n19796 20070\n10135 19318\n5578 16396\n7830 15395\n14169 14241\n12094 16336\n4678 17168\n3168 4957\n3443 13619\n6360 8391\n6094 14598\n8954 18850\n3603 13016\n469 10095\n1115 2854\n14976 17647\n15708 17659\n6858 12198\n2183 18545\n3936 16802\n8465 10746\n1214 12370\n2199 17387\n16276 17458\n16303 17922\n1866 6460\n749 7541\n12364 15795\n10379 16532\n5638 5946\n7047 18341\n4425 5485\n12164 15094\n4930 18275\n8511 17163\n7169 15307\n12763 18849\n16677 20038\n15229 16902\n4826 17504\n1150 10370\n8673 20239\n4112 18616\n15796 19336\n3187 10996\n8254 13924\n3793 19392\n128 6763\n13075 17677\n13133 14132\n6388 10762\n3128 9391\n12788 19517\n3989 12244\n9973 12765\n4562 14776\n1531 14486\n8306 18610\n8452 18018\n15676 18858\n13563 14264\n3292 18076\n12861 15478\n5171 19068\n2948 8386\n13893 16890\n1737 4225\n179 13180\n4719 10640\n11461 16259\n9559 19327\n9976 18457\n1544 15954\n1152 14122\n6517 10595\n16283 19232\n684 9060\n7366 14623\n18239 18890\n7520 13649\n9680 17785\n12618 17302\n5089 13145\n3964 13154\n4283 19849\n7100 8838\n12765 15795\n2722 17221\n15147 16154\n7215 14887\n1420 10367\n11579 20250\n14132 19340\n2366 19660\n5518 14018\n7102 17749\n2309 17213\n11464 17654\n3736 19494\n8529 19755\n322 19205\n12756 16805\n9870 10413\n11279 19818\n2823 12816\n5409 12799\n1668 15255\n2971 13242\n1815 18167\n2592 16316\n6314 7803\n4839 6869\n13423 16525\n4689 12683\n13977 14086\n10314 11181\n12501 12516\n5915 19764\n4087 14586\n1129 5367\n10570 19681\n4889 8493\n5813 11073\n2915 3655\n80 7327\n2664 12881\n4486 15852\n4147 12705\n15253 15946\n5145 12095\n2109 11632\n2090 7788\n13578 19791\n14115 17828\n7603 12496\n15752 17587\n4249 19287\n2293 6590\n696 14718\n11143 17930\n7037 16041\n2319 9305\n14345 15474\n8993 13527\n4133 7568\n13174 19249\n3215 4292\n13212 13996\n7583 10064\n8334 13397\n5680 16626\n3266 12760\n5845 10312\n7742 12074\n10722 19764\n5554 6712\n8161 11662\n582 16372\n14601 17404\n1322 6920\n2142 7946\n5711 9847\n6618 8614\n8197 13078\n2209 12615\n8352 14476\n13612 15319\n9224 12720\n7358 17969\n9214 12077\n7818 16453\n2834 8196\n1759 14456\n12316 16009\n9087 10438\n12673 15931\n2854 9750\n13607 18245\n14324 16533\n6805 14738\n6748 10743\n4536 15580\n9508 11078\n13028 19116\n208 13620\n5798 9816\n11690 16202\n2964 3922\n4876 8080\n9121 13677\n12094 12445\n10248 11421\n11149 13035\n9829 11164\n20020 20155\n8483 9371\n246 7680\n1870 9885\n9147 10500\n1267 19331\n666 16595\n11700 13804\n3480 4418\n4364 19817\n3844 9053\n5590 20020\n6848 12353\n13996 16550\n907 6147\n6780 7841\n2106 16347\n8868 11872\n17331 19749\n11312 15871\n1572 12889\n1402 14272\n10658 10748\n7757 8109\n2981 7276\n2558 7483\n2713 14338\n5069 15202\n12810 13712\n1343 10930\n15059 19707\n197 18006\n16119 19278\n7143 8794\n174 1973\n960 9843\n9370 12953\n4792 20014\n9342 11281\n11578 13940\n6577 12850\n4725 12019\n10609 18087\n7675 17597\n3791 18261\n1171 8650\n1254 5455\n8504 14480\n2097 19521\n12009 19646\n10795 11642\n15141 15956\n6953 15459\n7977 15093\n8872 11953\n2675 12223\n5943 13085\n3206 14100\n902 11734\n552 20242\n8695 12566\n7589 12882\n3788 18523\n1486 16333\n4818 12698\n5854 12183\n10541 18927\n5384 17606\n7014 8910\n2465 7024\n4159 14752\n11094 13907\n6708 17894\n15261 15692\n17815 19167\n4662 7464\n4301 14564\n14477 16498\n14083 18950\n6512 10741\n3233 7772\n5341 6647\n15120 19040\n10194 10403\n5033 13620\n5771 18739\n2784 9173\n7865 8096\n3552 19083\n4065 17644\n2715 4590\n4044 19270\n17042 18226\n7680 9601\n2147 16496\n5508 14915\n517 17044\n8662 19575\n15191 19664\n6281 13217\n3611 9456\n9147 13750\n3896 17422\n9605 15110\n8981 11386\n9658 12596\n5742 16000\n5698 14642\n11246 17774\n18024 18444\n5891 13597\n5823 13090\n2929 16225\n5499 7256\n17639 19664\n207 11123\n167 11358\n7606 16896\n9224 19137\n5761 8976\n2461 9468\n5835 16645\n2245 13494\n11956 19157\n11327 15340\n13542 19896\n8133 8485\n3960 18353\n4861 5683\n1674 13722\n6608 15674\n1716 5800\n4293 12192\n8570 20013\n9336 14840\n3747 6682\n5017 15371\n14329 15882\n10172 10745\n6672 11454\n6322 12794\n2445 7591\n5656 20207\n11943 15432\n462 17345\n1949 19991\n6163 14213\n7739 11589\n1818 4755\n2792 15504\n351 706\n492 18295\n3578 16911\n14632 18485\n4038 20066\n4636 16521\n9096 15454\n2034 14856\n7709 10836\n12934 15060\n5007 18080\n3056 3223\n152 4076\n3795 18102\n9083 14303\n14800 17221\n6338 17230\n12306 14362\n9299 9913\n6696 18861\n667 3400\n6050 16875\n8408 16095\n17232 18423\n13558 18285\n2056 12744\n7022 10583\n16824 17929\n5362 10507\n4924 17526\n10968 15346\n2071 3997\n11858 12220\n5906 13495\n8312 13565\n5586 5661\n1278 16972\n1609 1688\n1339 19023\n16569 16892\n13861 19068\n5281 6052\n194 7608\n5930 11048\n2034 16528\n61 7865\n11317 12579\n4676 18428\n1235 2247\n550 9653\n7599 8299\n9032 13143\n4167 4679\n3233 11181\n4038 13618\n1855 9394\n14326 17377\n3638 18446\n13129 19624\n2232 7482\n7761 9745\n10984 15921\n11848 19492\n7062 16011\n4661 6258\n11140 13546\n3103 10452\n7614 19732\n1763 2788\n634 20254\n2353 18248\n4888 5029\n1863 12783\n10581 17973\n7108 10229\n781 3609\n3754 15462\n1586 8257\n9636 19743\n1572 15532\n5046 13166\n9604 10107\n16409 19955\n14011 19601\n5297 18681\n3529 9090\n10509 10726\n2664 5749\n1683 6042\n10007 15148\n7754 17892\n2161 2683\n14624 16023\n10714 14874\n5374 19318\n15294 16583\n4081 5665\n16741 17524\n18055 19883\n8609 13988\n1126 2901\n9609 17703\n6006 15808\n7967 19486\n5232 10984\n1781 8813\n3091 9264\n10800 12323\n6839 18957\n1876 6786\n10001 19107\n10129 13216\n4514 14151\n6691 14055\n4241 11948\n9813 14927\n4734 8959\n8394 16759\n10579 13333\n1297 11504\n13519 20133\n2545 15792\n3514 11036\n7656 16494\n16274 18117\n11049 18030\n9040 12936\n8081 13147\n8785 19480\n4859 12625\n18575 19054\n2849 19505\n13001 19411\n15142 16876\n2322 6432\n9474 18997\n4452 18720\n1138 17581\n5491 8837\n619 7738\n5019 12739\n9299 16177\n771 16231\n8240 8327\n4525 18250\n6540 8229\n4920 19658\n15816 18203\n582 19377\n8090 12628\n8309 16288\n11670 18362\n5461 5759\n17362 20092\n556 3281\n3953 4705\n5260 11582\n1220 1308\n98 7931\n3495 11000\n1777 12420\n11645 16438\n8058 11325\n398 17700\n3904 13640\n4279 12165\n105 19422\n2242 5709\n3910 17917\n6145 14059\n6225 12836\n3230 14160\n8590 19288\n4094 12659\n9658 10586\n6407 8855\n3101 8706\n4342 13201\n6790 15235\n3188 13096\n15683 18632\n930 9823\n16426 16488\n9635 16177\n2421 4690\n6458 15413\n5130 12338\n2313 4677\n4721 7867\n6271 19574\n411 6804\n7747 17129\n5087 19721\n4355 8202\n14507 16020\n6932 16800\n1358 4002\n5450 9743\n4124 12495\n8105 14110\n718 12162\n506 19696\n12854 16581\n4407 6048\n1278 18860\n1713 6934\n14557 18550\n2612 15381\n3611 6904\n6349 16216\n137 10235\n6557 10749\n3622 3851\n5073 5808\n526 18600\n8229 12280\n12578 20257\n14765 18247\n6407 18227\n8008 9242\n11430 15322\n12293 15290\n7700 18236\n9607 11573\n187 13451\n6480 19795\n8919 12680\n8084 12121\n7418 7666\n8174 17724\n8967 9802\n11242 11309\n3971 13903\n9661 10264\n8819 14795\n2606 5821\n17859 19916\n16509 16602\n2337 7357\n12904 18044\n15629 15931\n10372 17304\n2303 11795\n9151 16983\n11753 14101\n12340 19610\n4388 7169\n672 13975\n2807 13751\n1053 20162\n2661 15419\n11562 17186\n11150 15460\n3936 6334\n1571 14048\n6942 7598\n1905 19216\n1408 9762\n8861 19818\n6019 15584\n668 2993\n4680 19089\n3881 10801\n7876 9903\n4898 5081\n2173 10579\n11572 18744\n1224 7980\n14675 18354\n9722 17812\n279 6161\n6098 14323\n45 1133\n2377 6083\n9559 18453\n7744 15668\n13524 15799\n9763 13390\n6888 16236\n113 5449\n11503 12977\n10746 17061\n1015 2749\n4491 11089\n6778 18280\n13782 15098\n5891 8439\n7133 10428\n9586 14043\n13772 19754\n242 14758\n208 6141\n6579 12082\n11074 14530\n10814 18475\n8459 13664\n1971 5338\n5330 14293\n2750 17571\n12624 14384\n2994 14662\n11832 16955\n9380 13140\n8977 17335\n603 15357\n5856 8221\n287 3998\n4883 6136\n3980 9603\n6855 9486\n1542 6051\n6272 10484\n9680 18118\n16607 17280\n3082 3945\n8993 18387\n11223 15502\n15834 16087\n985 8557\n2807 9435\n7774 18826\n2212 15735\n2135 9250\n4562 14305\n12150 19307\n11940 15955\n1235 6446\n953 7246\n5255 16126\n2350 11207\n12699 15517\n2067 9079\n8935 17377\n1231 19078\n9061 11407\n14796 16756\n5262 11466\n443 10528\n3286 19915\n5234 19759\n4205 8282\n3757 12054\n1643 13273\n16936 17443\n665 15337\n2534 10673\n14520 17487\n7833 19230\n3971 8627\n5144 13203\n10071 11074\n7411 17483\n4824 18841\n17895 20211\n7783 16895\n10231 18097\n6319 16323\n13900 17404\n1057 10633\n2667 15589\n1090 9686\n10981 13271\n6727 6780\n3335 16364\n12317 20220\n11255 18340\n1477 7006\n1476 17249\n1244 10067\n2982 15687\n1708 14438\n1409 15089\n3325 10284\n8513 9061\n2293 16498\n8306 13340\n11227 18721\n358 2542\n7959 12561\n575 17978\n10915 14871\n14964 16830\n7469 14532\n1774 7486\n3028 13969\n10178 19878\n1109 7875\n176 7969\n11624 17066\n4836 14175\n3186 11554\n7118 13293\n2293 20090\n6948 19380\n5063 10763\n2031 7393\n2330 11590\n2144 6284\n6416 18329\n12036 18481\n10563 19197\n7165 15255\n2770 19380\n6561 16654\n4918 15430\n9577 14114\n12874 18062\n1447 6994\n1924 3238\n12550 15322\n3615 12919\n13581 19033\n377 19737\n4795 10814\n818 19908\n8347 14582\n9694 15199\n7587 8995\n4369 9043\n1658 14764\n12685 16638\n10471 18279\n12024 13225\n3911 10466\n2382 4907\n8263 8601\n17420 18231\n3531 7100\n3250 11261\n900 4172\n7758 19290\n3679 6330\n3265 14692\n7312 8223\n3656 17105\n6695 19404\n7490 17234\n3333 9502\n11416 17679\n3350 4527\n3097 15302\n7020 17705\n1643 8135\n13055 18436\n2096 16150\n1530 13280\n5859 9622\n1479 19649\n7281 16975\n100 7220\n3813 14276\n10746 11966\n6494 10310\n11961 14605\n9805 13484\n13537 14965\n3389 7111\n3197 13082\n10200 15341\n14604 14610\n1210 8083\n1103 8964\n12797 14860\n11240 12871\n4971 15067\n2183 4655\n1732 14264\n15123 19887\n3532 14127\n13848 14519\n7828 7867\n8919 19282\n3235 15967\n2820 17333\n11727 12642\n7538 20243\n1359 16649\n3550 10578\n8251 14718\n893 20234\n6522 7021\n9432 12570\n1130 5148\n5506 11613\n705 4635\n13591 14283\n4222 14942\n4749 7629\n1290 18405\n9320 18247\n13832 16777\n3964 5698\n5745 17253\n6602 19726\n11145 13374\n12855 14194\n6454 17397\n9850 17289\n3404 7122\n6972 11004\n2200 9300\n8484 15779\n1053 13440\n4677 14809\n4467 14598\n604 3481\n7356 8176\n4337 12107\n11457 12279\n655 4916\n2478 2788\n10570 12604\n3533 18493\n2447 13375\n11634 11834\n2605 17100\n6602 17916\n340 12152\n4590 5944\n338 7687\n1819 2919\n8494 18392\n11113 16429\n208 12570\n6309 15509\n950 14595\n4787 7201\n5736 10205\n2491 19696\n9813 11116\n8552 16647\n648 11230\n14219 17783\n11407 19368\n4881 15719\n6204 7778\n7740 9153\n1677 20067\n11388 17172\n582 1672\n16733 18236\n1576 15572\n2732 3970\n1438 14626\n16904 17973\n5093 11080\n6104 8967\n5010 9546\n234 8734\n4856 8888\n13581 20142\n2227 19598\n836 20044\n6180 18129\n3314 11136\n5259 6214\n1087 5695\n759 2856\n4702 13522\n3068 13859\n7077 15309\n5030 11932\n2577 18171\n10555 11866\n2681 17996\n4399 6759\n4616 8284\n6693 11819\n7575 17266\n12222 13134\n17534 18582\n3548 19835\n3952 5143\n9068 15689\n13834 19318\n454 18818\n4598 6126\n8417 18661\n475 12787\n3259 13936\n1874 3277\n3895 12647\n17134 18943\n14918 17731\n9819 16633\n1377 15041\n5969 16594\n15341 18436\n7404 7968\n9446 10470\n693 3205\n2230 4176\n10034 18066\n13632 16797\n4530 5310\n3141 14056\n9219 15570\n16034 17116\n4790 15046\n16181 20039\n1429 15728\n13418 18743\n6926 13969\n9697 10591\n8313 20100\n9641 13978\n385 16156\n1633 2544\n4642 9462\n11774 12418\n13031 16480\n5567 15884\n4258 16008\n11706 19584\n2215 7070\n4873 12840\n1912 1930\n9824 19091\n8223 8572\n6669 14340\n10684 17631\n10087 12705\n1533 3821\n966 9819\n7308 15285\n3126 18501\n881 9841\n2129 5594\n101 16199\n862 2193\n4424 15158\n5898 19862\n7746 14712\n6648 15299\n6585 10023\n9694 18969\n2750 10364\n5334 5413\n1746 3951\n521 19713\n1635 20180\n524 11826\n5632 10110\n9212 18727\n4158 10061\n2826 15430\n2302 19030\n2384 3250\n13163 19687\n7227 10775\n791 13620\n1316 13513\n10006 10587\n15422 16727\n1296 12556\n3069 14513\n8144 19026\n18532 19888\n4770 4960\n4329 18841\n2999 9674\n3209 5592\n8555 8925\n8628 18944\n13932 18252\n14006 14916\n866 10315\n2128 12889\n160 8179\n4928 5744\n6256 6815\n4826 9092\n10084 15638\n15634 16026\n2629 14853\n110 5113\n3188 4992\n17122 19309\n2269 4621\n12942 17016\n917 17001\n17699 19793\n12142 12413\n3665 4493\n2337 18951\n183 3889\n4035 5949\n6985 15776\n7815 10250\n12002 18837\n5568 14224\n11390 16523\n14007 17282\n9472 19930\n1422 17524\n6524 9227\n9702 15649\n11581 17899\n9352 13909\n293 10212\n5758 18705\n7591 10500\n10331 12278\n10765 17724\n5993 16796\n6656 14718\n8816 11845\n5075 16396\n168 16858\n11453 12951\n7921 10980\n12370 18573\n2019 3240\n9638 13463\n1322 17367\n201 18058\n14545 19137\n6768 7339\n2143 18655\n3429 13793\n18569 18677\n5089 17629\n3816 10723\n5731 19341\n10915 13587\n3994 8287\n2006 16093\n2060 18465\n2452 16185\n7364 17932\n7897 8957\n6414 10066\n185 411\n1910 10406\n7407 9033\n3476 13792\n7039 7591\n6469 12009\n8245 17038\n2201 19835\n2390 2974\n1755 8642\n4233 19714\n5832 7642\n7638 8512\n12030 16923\n12361 19874\n13745 15364\n9610 14801\n5985 12931\n5481 15545\n634 17044\n657 15842\n5242 15137\n4495 15027\n944 18327\n1238 12502\n15111 19824\n12286 16034\n329 12962\n14492 16994\n13081 17610\n7236 17847\n11123 13091\n1729 3803\n9624 9895\n1190 20280\n11752 19920\n10337 15434\n41 14929\n351 18500\n299 10436\n4785 12085\n13879 17321\n3307 11596\n5041 17428\n2633 6916\n3701 15425\n6585 17716\n8737 14331\n9596 13632\n8127 13874\n813 14878\n8622 11129\n13388 17496\n7368 14271\n4357 5335\n1853 3493\n10711 10892\n8386 13431\n3555 3624\n4575 16366\n9704 9732\n3074 14670\n206 1776\n13523 15958\n9262 14044\n4853 12969\n637 17018\n903 7632\n13511 18055\n2889 7073\n5646 9711\n7553 9458\n10333 17585\n2987 17632\n856 5030\n5937 6445\n9628 19777\n3828 18529\n9137 14039\n16479 17509\n5383 8829\n3873 5070\n10811 11008\n2790 16571\n12841 12867\n2521 12812\n15415 17388\n3636 12272\n1471 7606\n3219 8474\n1279 17395\n10565 17712\n894 6305\n1840 17177\n15411 19446\n6442 9872\n3104 13782\n4725 17214\n702 19982\n14429 15389\n5104 14639\n6123 14735\n7085 11683\n4725 17260\n7885 12643\n540 12743\n5822 16150\n10774 12107\n15137 15841\n10325 12999\n6998 17233\n148 2849\n5997 19591\n225 17246\n7392 18376\n3380 9819\n9890 11202\n39 7253\n951 2055\n15072 16540\n14761 15602\n6457 9550\n2483 6578\n6424 13386\n3697 6932\n10539 13660\n192 13114\n33 10131\n16579 19544\n9897 17551\n10055 17582\n3136 5603\n15840 20024\n3766 8520\n3894 10481\n11619 13753\n629 13637\n10626 10691\n6014 11789\n14181 14673\n4613 12206\n5952 20245\n1293 7661\n1117 9223\n536 16488\n16832 19510\n13422 14327\n4709 14568\n787 14392\n7849 9779\n1422 6812\n626 11560\n6770 8360\n8466 16028\n11270 13502\n1643 18634\n16455 19954\n71 14800\n695 19027\n11826 14979\n1460 13908\n10651 20183\n3556 7210\n3295 4058\n8787 8909\n1947 12284\n8529 12797\n7336 12570\n8328 19927\n4080 19764\n10735 16268\n401 5385\n5361 8978\n7070 9948\n5431 18200\n4112 8921\n4662 9548\n9661 15597\n3191 20034\n10988 18904\n8247 18900\n15875 17077\n11234 14651\n8048 9203\n9364 15776\n1824 11054\n4198 8928\n4308 15073\n11820 16984\n1163 3375\n2589 19047\n1211 14405\n7359 17919\n13926 16247\n1358 14830\n2513 14216\n4658 8415\n13933 18949\n11045 14869\n16176 17164\n8634 19099\n8968 11215\n9260 15308\n680 20285\n9691 18696\n6051 8614\n14819 17544\n5606 9897\n7444 11253\n161 15743\n3494 4345\n13351 19920\n15062 16172\n15383 19883\n10857 18611\n2701 8701\n8221 12143\n1086 7785\n5166 17263\n8098 14632\n1662 16747\n16711 20179\n3345 8492\n12566 17378\n6898 17127\n6185 9765\n5079 9448\n2268 17321\n10824 14944\n9718 10190\n1464 9388\n4426 13085\n7181 17890\n7798 13412\n10177 14158\n10500 16328\n4200 13259\n1104 19512\n5915 19536\n1544 4351\n10105 13979\n1818 4753\n11506 16191\n6139 14658\n6116 13339\n14085 18169\n5997 17615\n7643 11086\n7850 19720\n6162 18841\n13901 19693\n7073 8277\n7030 16970\n11079 13627\n929 11337\n2790 11174\n867 14436\n511 19739\n8720 9445\n8491 19042\n3186 18317\n8176 13514\n5097 11631\n603 6058\n972 5983\n16759 18708\n15999 16629\n13478 18747\n11628 12105\n7283 15745\n10902 11552\n5699 16274\n3379 9090\n372 12658\n2092 17785\n177 3757\n15900 19243\n9092 15257\n7860 8367\n6003 19385\n1182 14520\n6870 9245\n2665 5057\n7960 12175\n4001 16001\n3381 5395\n6666 11948\n2301 6221\n655 15309\n9418 17782\n5376 11820\n10717 12850\n10221 10454\n3014 17073\n2076 14713\n16067 16993\n16084 17206\n2981 16903\n8542 15763\n16099 18025\n3866 16151\n4645 9930\n1556 2190\n11246 11706\n7637 11017\n2266 15409\n7521 12891\n1865 10355\n2090 7886\n5227 19844\n3184 20099\n6319 17453\n6268 12596\n1204 16980\n4436 10424\n1474 13260\n6309 10645\n12730 19358\n3316 16169\n2976 18226\n10910 19869\n5562 8686\n6868 11328\n9766 11015\n1376 13430\n5199 6379\n1481 8898\n10332 16814\n6025 12648\n9913 12282\n14999 16525\n2629 3773\n767 3963\n8189 13938\n12840 16292\n7108 19476\n14100 19297\n3013 8104\n10876 17331\n3322 6392\n11836 17569\n529 3162\n2880 8730\n1263 17425\n2338 4664\n5350 10387\n694 16094\n1920 5627\n10150 16663\n6889 11061\n11719 15268\n1389 5170\n2545 8278\n6222 19649\n11990 13869\n10238 17523\n1692 20006\n3003 16922\n8098 14986\n71 7461\n6032 14535\n1704 8010\n14068 19347\n9806 15439\n29 10364\n9698 12089\n9 11188\n13534 16544\n10670 15784\n8447 11160\n7004 12092\n1705 12372\n9498 20060\n420 16981\n5803 6487\n101 19703\n5480 18135\n3484 11084\n248 1272\n5735 5864\n11847 12065\n4786 8441\n18812 20184\n6639 7162\n9445 15447\n950 16141\n11468 19304\n2600 17586\n15353 17949\n2544 5200\n7382 10473\n7791 11359\n2104 2525\n2180 15334\n7702 16599\n2421 19654\n1104 11246\n6344 18237\n1030 6492\n153 7228\n10959 17767\n16186 17644\n7008 19023\n10288 17193\n903 8433\n1526 17498\n9589 9884\n13213 14800\n93 17700\n494 9041\n5838 15157\n303 13164\n9133 12900\n944 15022\n622 14240\n1154 4818\n9805 11466\n7577 9044\n1770 3927\n5870 19820\n2362 9459\n17802 19165\n1523 10214\n13740 14325\n3108 6099\n7394 17066\n6978 7634\n6815 20108\n13008 17630\n7384 17054\n12071 20183\n4487 14485\n4271 19633\n1118 6300\n3147 12559\n2674 13455\n18916 19427\n11625 18093\n8884 15721\n3823 8519\n1300 14916\n12762 19966\n12082 18449\n6557 10269\n1795 6660\n15049 17197\n4471 18831\n471 10236\n16029 18224\n5680 17762\n16279 18297\n44 14027\n7458 10224\n5549 18818\n15123 20246\n12096 12983\n627 8708\n4122 6228\n2064 12421\n15327 16530\n11095 11475\n14100 16628\n1433 10739\n3025 19623\n3794 16938\n5489 15914\n3851 18274\n1386 7082\n11579 16490\n6495 10487\n17093 19573\n6715 16170\n171 1129\n12644 15164\n2828 16328\n11251 16847\n673 1270\n1014 18169\n1762 12176\n7936 13811\n6624 17190\n7469 10060\n4329 19077\n6894 17323\n12775 15729\n16086 18090\n2454 17476\n5585 13037\n717 5118\n13651 18808\n151 4908\n6055 9555\n9243 16482\n10761 15984\n8816 11048\n9495 9513\n1279 16269\n9046 18560\n6293 17976\n9411 19133\n3522 8604\n9072 11830\n2939 17292\n16719 19067\n3985 17318\n5745 18493\n6321 14632\n1020 10275\n149 8037\n10946 16740\n6353 12634\n8913 20027\n3655 12285\n1829 13325\n14914 16232\n11445 11812\n5573 7141\n2394 9242\n9039 10356\n6054 15699\n4995 10627\n3181 4479\n12844 19559\n18608 20205\n10362 14573\n3250 20248\n3874 7630\n9767 13033\n365 13986\n9858 12868\n11036 12762\n1186 5934\n5559 16999\n15288 18639\n2353 4816\n5607 6893\n16816 18580\n12056 15416\n2759 16763\n10771 18920\n11286 16382\n16652 16890\n593 1361\n13264 17038\n3378 18152\n3589 11575\n1287 7563\n474 6043\n13260 16703\n14652 19661\n15275 18454\n12309 15621\n15156 15726\n14152 17053\n11974 13071\n3272 18813\n1469 13858\n3040 8106\n11997 19586\n10579 15600\n11718 15167\n5012 19833\n11884 14586\n9236 15370\n2020 7632\n2802 8764\n259 3310\n872 7962\n6860 11668\n1680 16990\n4362 18786\n12021 15307\n2336 8793\n1622 14548\n12748 17810\n2008 16186\n17525 17865\n3940 15181\n2786 11408\n3082 4808\n18670 19335\n11228 17037\n7536 19501\n10733 15245\n5263 13505\n14083 14314\n1840 14698\n11517 16495\n1561 18564\n10261 13475\n14324 18518\n946 1785\n12765 19291\n2406 16043\n1950 17786\n8927 15599\n7379 15173\n2051 12559\n2879 15309\n3395 16633\n3903 12604\n182 10428\n9563 11142\n6860 7770\n952 12151\n6714 16831\n1308 13737\n5244 6629\n5215 11071\n1181 5295\n8467 10466\n12419 17732\n8216 19776\n16157 18791\n896 12581\n12766 18105\n7586 17394\n5236 16508\n2861 8124\n5721 16301\n2457 15841\n9206 14198\n1592 4934\n3337 11335\n1344 17869\n2920 14222\n1579 13590\n7543 18062\n8770 12389\n3085 15297\n3055 13021\n342 8758\n6639 16884\n10391 14104\n5149 11490\n10567 14122\n5527 6704\n5399 8229\n84 18828\n6512 10818\n5282 7512\n4029 15145\n3234 19432\n15935 18905\n6943 9256\n5348 11174\n9930 14880\n3952 11765\n11334 15594\n16495 19635\n2159 10471\n227 9908\n10296 17256\n3305 3597\n9504 17810\n9572 12046\n1673 15537\n17983 19909\n12 762\n3453 13450\n10540 18979\n2229 13777\n4143 9450\n10844 13974\n3989 15307\n13341 18578\n6844 19654\n14181 19195\n823 9552\n5924 19337\n3750 8491\n4504 9013\n5344 5867\n14528 18541\n7861 16213\n3732 9535\n3814 18325\n4530 4615\n11150 19722\n9926 10421\n481 16980\n12867 13936\n2202 7299\n10289 14692\n694 7161\n3578 7155\n11988 19732\n6771 6817\n7658 18510\n11159 15140\n9112 13521\n8784 11781\n7217 8758\n1974 6698\n7736 18716\n2644 16392\n4238 19529\n8089 15362\n2887 5161\n12218 18345\n663 11832\n16498 16796\n2539 15025\n15159 15562\n8566 15061\n2713 10405\n847 14535\n3454 10462\n201 1201\n4434 5161\n887 5660\n1130 4951\n1835 11829\n653 16803\n3291 16435\n19418 20177\n5119 19535\n5209 16778\n15570 16353\n13046 14791\n5694 16820\n13626 15656\n14616 15714\n3745 15174\n9974 11441\n6231 19742\n16542 20010\n12245 14698\n41 4558\n7768 9328\n2956 3491\n6702 14604\n5194 7558\n7799 12145\n1928 8792\n16620 17111\n3311 5111\n4383 10775\n2038 10427\n7521 15125\n2994 5592\n9151 10290\n2939 15079\n6278 13669\n1998 7231\n2494 7774\n13218 17002\n11008 15901\n3386 7053\n906 1336\n4260 7351\n10403 11007\n4773 8286\n2249 8071\n5678 13038\n8914 9130\n3256 11193\n2826 17662\n10721 19206\n1976 11583\n1273 6666\n4083 7568\n8648 17985\n2389 5488\n429 8311\n8965 13861\n2274 12482\n5007 20163\n16849 19628\n9743 12413\n15013 19360\n11973 14585\n7713 15796\n1787 17200\n3255 15150\n7018 14097\n4552 7865\n1285 11296\n1546 15243\n8535 13792\n1225 5170\n9041 12817\n10491 16122\n1108 1249\n9885 14419\n6541 15726\n9541 16263\n3275 18313\n1353 20076\n1536 3159\n7375 20255\n673 16231\n6725 13868\n3552 5513\n4062 7649\n4482 15135\n6226 7836\n2458 6576\n3759 6425\n6246 17425\n7296 13747\n13049 15700\n2096 9455\n935 7514\n1047 10173\n4445 6015\n17685 20081\n2660 20245\n14717 18988\n11423 18738\n6287 7300\n10450 15817\n5416 16153\n827 11556\n4179 10340\n6363 17607\n8721 16286\n14910 17012\n15679 16641\n4727 11583\n7490 7779\n2653 18570\n22 10683\n8099 10847\n14909 19536\n8063 12212\n8207 10687\n9395 18739\n2544 11046\n6711 11719\n2756 7240\n552 15304\n1732 13794\n3420 19568\n908 12279\n8179 17639\n11340 15516\n4531 11375\n1811 17406\n3020 17143\n15444 18363\n2193 15734\n2557 9535\n220 14957\n6951 15490\n22 14033\n8772 19895\n4643 9363\n9512 17253\n2376 8697\n10175 15723\n3899 4829\n17731 18217\n636 13917\n365 10417\n5306 15800\n1163 7874\n17914 19806\n4461 18737\n16163 19107\n5841 14662\n2886 4988\n2120 13269\n6052 10377\n484 17008\n5754 7197\n7159 17075\n2695 16168\n2493 5895\n9730 16826\n1449 12376\n2213 20186\n3470 10450\n14431 18475\n2707 12753\n1078 2650\n5552 13789\n711 5712\n6845 17828\n15366 17092\n1066 15739\n4912 16841\n1093 18051\n717 10738\n3196 9255\n7775 7909\n1843 14600\n6443 12593\n491 3856\n10656 10984\n7318 12599\n13423 15851\n9289 13456\n7281 8402\n5804 18628\n5961 14494\n13457 17726\n1023 6557\n13020 19306\n7639 17912\n14436 15418\n4504 6159\n5611 12117\n11748 14881\n4012 8224\n6173 10471\n299 8427\n3097 5071\n3135 8135\n8091 18111\n4010 12148\n8013 8023\n2843 17870\n11801 18358\n2124 9266\n12581 16629\n2427 20243\n10767 17963\n6157 20285\n5581 19874\n8541 16364\n12633 18353\n11633 19563\n914 6378\n10042 15913\n1713 6006\n6833 17992\n12656 19810\n4393 8149\n7473 16409\n3658 14851\n655 15661\n3561 14258\n675 10277\n3807 15565\n4025 18887\n8606 20224\n4535 11534\n5278 15043\n6448 15756\n6739 13136\n12130 12444\n9381 19545\n3260 4921\n6007 9262\n1174 18121\n5388 19773\n6889 8352\n6439 16907\n8348 12490\n9596 11745\n6426 18252\n14115 20229\n11928 19569\n11299 19901\n828 13436\n12672 15930\n2623 11411\n2234 18761\n16042 16967\n1031 18830\n3990 7511\n2576 18776\n14500 18988\n11335 18271\n10545 11942\n13517 15546\n10464 11988\n10090 16242\n1559 18101\n2777 7960\n5936 18190\n1968 14879\n7365 11382\n4698 13145\n8059 12578\n3639 9107\n13266 14565\n10801 17941\n3045 10238\n8129 10276\n171 7198\n2123 2294\n5700 20065\n869 13093\n10017 10149\n7223 10737\n10753 17077\n14706 15113\n1281 12852\n11596 12257\n7714 13153\n2186 5390\n6654 13623\n6285 10939\n1093 9815\n3169 17094\n4119 14094\n8824 19165\n7507 12951\n1133 17859\n7570 17686\n851 8642\n152 17243\n9936 15846\n571 7983\n9352 12108\n555 2701\n12287 16807\n13956 16798\n13577 14252\n1411 5048\n13288 15552\n3262 13865\n10933 11460\n6409 18410\n12521 16891\n5304 12035\n1135 5812\n6306 13862\n138 8661\n2545 18876\n712 12463\n14522 19371\n1374 17256\n8162 8730\n10056 18937\n3806 14017\n15172 18681\n9214 9947\n3883 13183\n10636 13063\n2219 15451\n16131 18323\n487 9467\n10604 15438\n2961 3460\n4012 9644\n8295 8824\n618 13258\n3721 11599\n5639 18202\n3881 16850\n8874 9873\n8254 14658\n13154 15416\n3944 11861\n2165 3146\n6879 16028\n6141 16688\n1455 20241\n3378 4298\n11057 19798\n12843 18888\n2658 5079\n5968 17834\n14609 18041\n10618 17738\n11511 11973\n11411 20277\n8505 12950\n6036 7447\n3699 19807\n12105 12413\n17693 19340\n13589 14776\n1460 16911\n676 9757\n611 9000\n1710 13820\n1980 2096\n12672 13408\n10081 17383\n7456 18707\n6296 13691\n6216 18260\n13134 17685\n4213 18651\n5614 18745\n5627 14246\n3496 7527\n8962 19068\n10112 18930\n5219 6361\n11354 20103\n761 6194\n15113 17732\n480 10256\n2090 15181\n13476 18190\n12432 18496\n8983 16670\n5045 12241\n13986 14501\n18020 19760\n16619 20208\n3099 6259\n11547 19377\n5405 18021\n3529 10195\n8117 12000\n1404 15142\n15612 16054\n3621 5585\n6570 7984\n2927 2937\n1783 15316\n3377 6177\n11873 18729\n651 3814\n15075 20004\n11657 13198\n14346 15346\n9963 12040\n1390 7106\n7859 16867\n8911 12476\n6887 18687\n15808 18913\n1992 11182\n9947 12879\n10254 10549\n657 1652\n4854 18994\n15802 18762\n17278 20235\n6153 13688\n3516 4238\n399 19483\n6305 13296\n12606 20170\n15153 17425\n10127 11435\n7456 10974\n1942 4859\n14366 15906\n4432 20161\n2217 19187\n354 1465\n5616 19432\n13194 14889\n1424 2973\n2712 15771\n9935 10281\n5400 17831\n13170 17527\n1899 2307\n5400 7699\n2047 18636\n7443 19577\n10595 14077\n5246 11703\n6760 9928\n4697 20250\n648 4699\n3416 4486\n15916 18594\n16793 17386\n3041 17084\n1682 11511\n7318 18844\n6020 14497\n6072 15683\n3027 13949\n1473 2976\n593 19214\n608 5696\n1776 4751\n1157 16070\n6499 14930\n2408 3993\n4426 20145\n14650 18838\n1340 7857\n3538 10320\n2834 3263\n9351 19023\n6663 15424\n6364 14363\n4326 9602\n9695 18692\n459 9266\n14196 14696\n11899 13194\n554 3518\n2465 3633\n15680 17745\n3083 7563\n11681 14322\n3334 6671\n4819 16525\n2609 14940\n10860 11277\n11545 16767\n17623 19512\n3021 10003\n1760 15062\n14903 19087\n8110 14709\n5802 17336\n15328 17345\n9541 9806\n17177 19197\n4320 13042\n6206 16210\n9351 19851\n3068 12299\n15752 16178\n1973 10812\n18145 19409\n8713 10033\n3418 19958\n90 5605\n4502 8904\n9872 15840\n13724 17286\n6583 16568\n1713 8232\n14620 18759\n14071 18797\n5537 20149\n13554 18413\n11199 12028\n9146 20162\n10299 14523\n5915 13031\n9366 15764\n4404 4710\n353 8683\n1115 6990\n12177 14160\n6089 11980\n12842 18942\n2 20060\n13818 19997\n5643 14203\n6592 13593\n880 16070\n13861 16555\n9635 10699\n7434 13624\n1708 14960\n12577 16482\n732 20063\n6322 9909\n325 13934\n4118 16835\n1 17324\n1930 9393\n12528 13788\n8573 9750\n4289 5098\n2789 14299\n11940 13456\n5472 11471\n10244 10707\n918 17479\n4049 7893\n7044 19036\n3860 9378\n847 5187\n2919 14347\n4225 19349\n335 4355\n3619 10060\n5906 12366\n2641 11695\n1160 13058\n4353 14300\n3602 16679\n1148 20131\n8578 13867\n6393 19894\n2262 15804\n8324 10863\n2587 3166\n3114 6090\n13715 16988\n2678 4786\n5092 16361\n8651 9525\n255 1646\n9730 18059\n5009 9828\n3026 3041\n2537 7301\n13450 15329\n11801 12694\n4500 6658\n6312 6901\n12192 17023\n6316 11368\n3153 15613\n5628 9398\n2996 10993\n6303 16031\n7423 9945\n14595 15731\n5008 17646\n5007 14220\n12086 18920\n2839 5788\n2723 12302\n4764 17135\n1982 11537\n3058 5796\n3186 13280\n9973 13593\n3257 12203\n4776 16329\n10602 12543\n11159 16207\n9916 11536\n4329 14048\n1289 8331\n3835 8377\n4603 10413\n547 10129\n14315 17869\n17881 18832\n6847 7289\n937 18214\n11888 16474\n5524 17888\n5791 11442\n5786 16117\n8361 16733\n5812 17097\n13223 18904\n593 11379\n127 4011\n1308 10510\n1292 6012\n4101 7896\n9726 19057\n12718 17389\n15271 18708\n9826 14223\n4061 19588\n14935 19809\n7742 11477\n4315 18837\n1454 4555\n13922 20015\n11835 13510\n7132 20098\n17368 18353\n724 10540\n2266 2728\n1320 13440\n2630 9828\n903 18518\n3470 7328\n7448 19517\n15540 18141\n22 20102\n14382 18643\n4394 8588\n2650 10811\n401 15058\n3365 17484\n7472 12120\n4012 18970\n856 6996\n333 756\n12785 16988\n2702 13144\n12380 18304\n7232 14268\n8748 13551\n1347 6718\n222 20149\n2463 8754\n3918 19225\n5295 8280\n2170 9694\n9063 17460\n10619 15469\n583 10940\n2963 14563\n6548 13595\n8700 12116\n5933 8721\n4594 13677\n12518 14076\n10138 14338\n16460 19765\n1838 5223\n8694 18760\n4457 17777\n1490 10979\n2420 11944\n10277 14391\n6635 18897\n13420 14376\n2396 3835\n14213 20030\n13241 15395\n9423 15690\n323 1586\n8365 14629\n15291 18845\n5588 10008\n13772 14288\n7064 10319\n14464 18011\n15728 17355\n2730 5435\n9305 15341\n16044 16726\n10548 12850\n4828 14273\n5585 15491\n15605 17988\n13756 14481\n6633 10425\n3531 5161\n9608 17645\n3718 3893\n1634 4803\n90 12735\n2378 20004\n8623 15426\n12929 15012\n7257 9701\n3718 19705\n3578 18277\n9023 13676\n14759 17925\n768 18591\n13627 17418\n4251 18443\n4854 17442\n8543 11751\n5490 12343\n4846 16286\n17247 18448\n12728 13022\n6818 11130\n2869 6678\n16690 17385\n1850 12071\n7691 17774\n871 8786\n8097 8585\n10753 17210\n2853 5439\n8600 20251\n4944 5896\n12513 16723\n2940 3591\n3836 19585\n4678 13981\n9777 15848\n5354 11448\n9710 16923\n7237 10817\n10413 15846\n3660 11295\n852 3868\n11589 18156\n16302 19913\n17515 19572\n7237 19378\n2746 5874\n1513 13651\n14880 15087\n6571 20056\n14552 18000\n5072 12462\n13315 14061\n147 6852\n7883 16792\n14957 15100\n16332 19995\n3648 12260\n2839 19640\n1501 1821\n9012 14996\n2847 12708\n530 14360\n9289 9469\n2365 5851\n1458 6289\n4320 17355\n1857 15337\n4657 11081\n1903 11503\n5321 14208\n232 16751\n996 10339\n3401 10930\n13260 17533\n1860 8505\n8300 9227\n1667 17813\n5034 18867\n4479 16975\n1191 6057\n13983 19817\n786 19845\n3004 11790\n6511 7091\n9371 14646\n3093 11799\n6335 8471\n4550 9544\n4862 9883\n4703 6704\n7007 10642\n7789 20155\n1542 10865\n11186 12681\n12324 16751\n2856 5380\n2508 16467\n5562 17008\n11951 13283\n1576 18606\n6169 16163\n4370 16632\n2757 5091\n97 1093\n5639 19573\n2140 18076\n10530 13454\n6420 6570\n1676 5064\n2879 3630\n14193 19341\n6191 10671\n11565 14747\n13194 16604\n3059 18845\n8396 18653\n2251 4981\n5395 9793\n4775 9151\n15618 15756\n1778 2718\n6316 14749\n3181 3672\n4829 19073\n5127 18837\n1426 15992\n14421 17595\n9260 15421\n747 6537\n15431 16073\n2221 5748\n5864 7289\n2277 15761\n18555 19474\n9461 10929\n6881 17924\n6332 9395\n13037 18812\n1918 6662\n5445 5786\n4794 14622\n236 16899\n4041 9499\n9893 17729\n10065 18642\n7315 20233\n10897 19248\n1969 14446\n12107 14225\n10546 19202\n4295 13554\n6034 10154\n16572 18106\n2430 3073\n10219 12433\n8128 15699\n3218 13448\n601 4170\n12300 18391\n9676 16534\n195 4376\n1716 8138\n10440 14221\n3427 17170\n6042 8367\n9545 16376\n6259 6937\n775 10105\n1358 3556\n2460 12968\n11762 16454\n13743 13831\n8589 17730\n10457 13550\n1037 6779\n6442 10586\n6870 7048\n100 15445\n13431 13587\n154 9872\n2034 9831\n4129 11578\n7902 9272\n5055 7149\n6753 10220\n4344 19705\n645 17154\n12228 12477\n11712 17255\n13281 19124\n2465 17469\n9400 17896\n2698 17708\n11184 19598\n9711 17836\n3884 17358\n3739 4830\n11715 15997\n4355 5872\n1879 10017\n10112 18603\n5566 18024\n1373 14858\n11905 20082\n12111 18123\n8239 16789\n13249 17107\n10195 15293\n7842 10159\n2048 16954\n3128 11493\n2143 19989\n6571 9504\n1604 17279\n7538 13287\n66 7018\n9478 15728\n574 14892\n2449 2882\n12811 19453\n5579 7514\n8613 9385\n8788 10440\n2925 6219\n9332 20254\n2130 16864\n7855 10566\n15929 15994\n5218 17156\n10309 16733\n235 13585\n5007 9125\n1452 7584\n12683 16996\n7894 11104\n1488 8845\n1418 7175\n6227 6380\n5531 12502\n10498 16050\n812 5717\n5482 16408\n11544 13423\n11273 16043\n4413 4740\n7437 14782\n5451 14423\n1360 19016\n7724 18264\n6587 9126\n14674 17106\n10312 10765\n7076 14431\n833 13210\n17236 19383\n1162 18708\n7544 12507\n11452 14282\n2184 9592\n4416 7763\n4571 9053\n2092 19346\n6617 13285\n562 7962\n13917 19591\n11757 19921\n4509 10265\n6204 18834\n18607 19261\n1698 10463\n8068 19583\n9211 12047\n1196 17123\n6333 11362\n6191 15843\n8619 10187\n12266 13364\n1397 1586\n15417 17261\n5592 7136\n8628 11220\n11441 12053\n1265 12614\n2883 17564\n5180 7870\n4034 19666\n8052 8798\n4593 11853\n8498 14251\n723 2966\n11631 14244\n898 7514\n16581 18780\n7367 14527\n8668 13717\n2398 10288\n4996 17101\n5905 13094\n12230 13554\n14235 14414\n9621 9720\n8040 14832\n5159 14960\n2436 9680\n10787 11533\n11125 19980\n8171 10445\n9659 10581\n9661 13417\n12408 14028\n13796 15472\n18600 18787\n3113 8176\n6945 18423\n3029 10976\n16085 18279\n4342 10576\n12848 18641\n13693 17163\n16894 17425\n4355 14262\n688 9372\n5834 10950\n11448 15537\n5511 14830\n6494 7297\n15793 19794\n969 14133\n4389 6318\n5612 11875\n1797 12271\n1640 6850\n4435 18837\n2459 11797\n7815 17016\n11705 16434\n3198 18157\n8817 15231\n8404 11375\n4617 14265\n6588 13940\n5401 11620\n5447 9195\n3590 12331\n4078 4787\n3368 20210\n2842 6986\n4983 10151\n15026 18101\n14408 15049\n230 17266\n14971 20212\n5809 15527\n420 5178\n4232 14074\n539 10922\n8227 8693\n11190 12247\n1985 16691\n5257 13479\n6520 16284\n3844 13708\n6557 13056\n5683 10170\n840 9084\n4025 16950\n708 3891\n11607 13469\n3099 18992\n1610 6837\n7633 11126\n8899 14662\n11904 12052\n14309 16988\n5699 12385\n2599 11700\n10432 14168\n7333 19988\n6447 19087\n6371 12521\n7099 13533\n4709 13194\n9425 19547\n7135 11494\n834 15015\n791 10190\n4566 13082\n75 1421\n3294 16106\n10928 14433\n7368 13113\n8196 12762\n249 14384\n15056 16776\n1871 9315\n13374 19702\n7713 18894\n4399 18524\n312 7213\n423 17012\n13116 18160\n3339 8416\n4082 18464\n15939 17578\n10238 17344\n241 2486\n354 8180\n11224 14679\n4854 8326\n802 11367\n12188 19453\n17116 18499\n1636 14531\n361 4685\n3293 16772\n5955 16764\n3232 16124\n2431 5412\n14031 15206\n9285 12674\n11325 18885\n3013 18734\n16775 18955\n976 14673\n12534 14122\n4984 11556\n1355 14466\n295 4430\n6705 12095\n5096 19274\n11954 16108\n10718 10965\n12634 17137\n8869 11635\n9070 11760\n11981 16547\n7562 11838\n14677 14868\n8019 13911\n11115 15186\n7764 19305\n5606 17389\n13106 14811\n3137 19594\n210 3673\n8751 14691\n7829 14815\n2599 5457\n11264 13908\n1899 5518\n462 2593\n587 1605\n9383 12294\n18434 19977\n3745 14890\n4233 9416\n10131 19811\n7230 7307\n11344 17609\n835 19139\n7550 11039\n5865 11709\n418 14811\n4782 10423\n14615 16529\n6121 9337\n15939 17845\n2772 20250\n3047 15622\n6088 18765\n5180 15025\n19619 19744\n5026 10351\n2159 8407\n1382 10005\n12234 16271\n7923 19873\n9626 12528\n1017 1729\n9410 11591\n3201 17100\n7042 9393\n4735 12386\n11089 11407\n1080 14071\n4558 11639\n798 19062\n15204 18400\n16364 19221\n1236 17872\n3459 7662\n12014 16399\n5975 8864\n1415 17485\n10627 20030\n9810 13698\n526 14191\n2277 9101\n7679 17382\n2899 5513\n6165 8924\n171 4962\n2277 9146\n6689 17830\n2038 16760\n475 3797\n13549 15496\n19285 20095\n5929 12657\n6356 14261\n9298 15163\n8170 11824\n4963 14857\n7271 15186\n7429 15372\n506 15487\n424 6833\n9290 20228\n5678 16630\n4767 8964\n7788 16542\n14807 20271\n1184 13861\n2019 3107\n2566 15595\n17773 19585\n6608 13600\n6997 8645\n816 18996\n14984 15278\n1909 3149\n1142 4300\n2033 2097\n16413 19553\n12008 17468\n14515 15961\n7102 9246\n4989 14617\n11156 14503\n10143 10324\n2338 19726\n6406 9614\n6792 20250\n2464 3410\n972 14363\n2025 2091\n12889 14269\n6115 12866\n11036 15100\n15688 16409\n2136 7711\n2205 6204\n14191 17427\n5464 19026\n3655 7565\n449 11396\n2384 13830\n5649 11597\n1499 19298\n7576 15671\n14372 15871\n3490 18314\n4060 5536\n6955 17665\n394 17904\n10055 20272\n99 9611\n1694 19094\n14839 18894\n11696 13011\n3172 8206\n1416 4286\n7643 11893\n7255 16159\n11542 17792\n939 3291\n4627 6713\n15265 16319\n16286 18402\n10380 16801\n6272 14761\n234 11408\n4626 18332\n9734 19056\n4027 18159\n3498 8419\n3756 15819\n13961 18903\n13777 18575\n877 3160\n13656 19146\n16617 16824\n4210 19754\n6765 7142\n10846 14959\n18179 20056\n968 17471\n17334 19152\n10495 16707\n11276 12371\n7166 20263\n11538 19729\n6276 11648\n2473 19757\n10260 15182\n9299 17630\n6578 15553\n2854 14230\n4730 10499\n2689 15367\n3452 19024\n6358 15180\n5584 17183\n6229 16538\n10882 18006\n15902 18566\n343 7510\n674 15800\n3271 14045\n1880 9476\n6572 17695\n8143 11618\n15025 18729\n15601 16729\n7193 17759\n2075 18663\n2454 13614\n18174 18762\n13545 14025\n1358 3411\n2631 4392\n4915 17292\n1675 12881\n8001 11579\n15395 16610\n4987 10986\n1463 6571\n1535 17199\n16894 17125\n3473 19359\n7034 14318\n5357 14327\n8917 14258\n838 10826\n4196 11674\n1880 16501\n292 14149\n4815 7648\n8288 16582\n2731 7924\n1304 13605\n9572 14672\n3977 10181\n3531 15226\n10557 11603\n6101 6584\n285 13586\n13571 15741\n6093 17367\n9728 20124\n7263 7896\n3540 14863\n11059 16396\n13732 16884\n2002 11472\n12545 13258\n7524 16196\n235 12555\n15284 19071\n3810 11592\n789 9515\n10283 16212\n19809 19904\n17476 19523\n16869 17305\n7589 19473\n9156 15333\n1467 3731\n524 13198\n5222 11566\n8596 15876\n6208 15380\n13201 20058\n7133 10199\n499 3366\n10592 19107\n10501 16863\n312 17648\n9134 11073\n4262 15886\n4603 18457\n1465 12482\n4210 7609\n9727 16911\n5604 10444\n5234 19531\n2007 18511\n13654 14827\n10696 15839\n11368 16721\n10626 13044\n896 19195\n9118 11394\n8230 17144\n4003 10379\n10960 19375\n8172 17431\n8356 18651\n14611 18152\n6286 8131\n3107 6967\n9648 12020\n5034 13506\n2981 7325\n8560 9181\n10804 14477\n5133 11623\n1050 19385\n12136 18752\n7070 17439\n11575 16430\n10417 15854\n2572 8725\n12358 14192\n5653 14255\n5030 16924\n2018 6966\n11447 12711\n1701 19994\n2429 10914\n6909 7073\n12940 15318\n354 7099\n15552 18594\n5107 8938\n7879 17677\n5618 15226\n4974 15725\n1199 17480\n1033 3662\n3072 15717\n4532 9326\n15610 16259\n3664 4974\n2121 17001\n10721 10783\n1244 13600\n3343 6073\n11627 18170\n8491 12764\n11218 19190\n3764 12348\n3591 16500\n17123 18280\n3038 19793\n5025 15980\n1007 11433\n3066 5149\n1071 6388\n1420 13372\n7000 18918\n222 11413\n7080 12185\n1851 11687\n3794 4267\n13375 15490\n1512 13510\n2511 6112\n3658 14331\n11691 17491\n4012 14230\n9366 10026\n10876 13821\n2672 4729\n12272 14917\n18 13136\n2810 17980\n7971 11578\n2148 17636\n8350 12229\n12798 18756\n12614 14728\n2743 3629\n1814 8180\n10042 17631\n11316 18633\n11146 17032\n1023 3472\n1450 6429\n1977 8677\n4216 5082\n3920 6401\n9778 13332\n12360 16836\n13284 17035\n3860 11787\n2392 13230\n10579 15915\n1621 18568\n4759 15142\n1563 16048\n1802 17810\n45 8780\n10733 11238\n4385 17469\n408 9688\n5893 13365\n7505 20107\n12474 14170\n4272 6809\n8287 12055\n4368 17616\n9703 17436\n12656 18750\n12058 17445\n7362 13289\n1099 2924\n2289 2507\n43 18620\n7569 11227\n10781 12828\n9772 13065\n11534 19936\n2308 14485\n11439 19985\n63 12977\n15900 17412\n7994 11031\n2091 5393\n18282 18522\n9236 14242\n2037 18556\n757 13786\n1725 19399\n2021 12544\n5861 6182\n43 20031\n6302 13966\n10696 18311\n8511 17366\n4611 17749\n14571 17781\n3051 9423\n16403 18806\n8829 18171\n9272 15057\n8213 9401\n5053 17425\n8318 13246\n2145 11674\n239 8765\n13933 15418\n9785 13742\n16236 17854\n1517 6324\n8854 14371\n2282 14040\n512 1198\n2678 8553\n11579 18891\n12728 17546\n2048 8786\n3379 4785\n3627 4635\n6078 13699\n6782 20244\n10101 11292\n422 12767\n17473 17790\n8270 11389\n14053 14791\n2366 7512\n9929 12653\n5184 7516\n18410 18972\n599 12559\n1181 2295\n7534 7643\n10590 17294\n2098 9337\n165 11815\n16556 16757\n1000 7424\n166 14371\n8369 9552\n2315 16637\n13491 19031\n5111 8752\n10919 19641\n17726 18189\n5759 11371\n6392 19842\n3307 10357\n1825 12127\n14086 14691\n14803 17627\n4244 11084\n16578 17643\n1185 8467\n2487 7003\n3525 16074\n6766 12767\n2502 6968\n6947 10931\n3572 15807\n10871 19046\n1114 8193\n532 8633\n17754 19545\n6806 18305\n10634 15658\n1770 19235\n2314 5856\n5228 7904\n3553 9613\n9257 19052\n2943 15959\n15461 19846\n6007 15155\n3300 14506\n8138 10322\n8167 20285\n430 4767\n46 1563\n10519 14478\n4349 15893\n910 13256\n14518 17358\n787 13941\n12328 13116\n11544 16930\n12584 14802\n6060 13561\n1677 16943\n5576 16351\n5068 15870\n5453 16261\n7637 9544\n3085 7810\n4948 18188\n4831 6691\n1679 15971\n2124 10801\n4232 14296\n17578 18124\n11120 12094\n7073 17356\n8479 15461\n4808 10489\n10143 11085\n3025 12240\n8672 20127\n6516 11514\n4186 16144\n2271 12317\n3879 12342\n13961 15251\n4411 11869\n5650 12732\n2208 14284\n17901 20002\n6747 18668\n14260 19459\n4117 12710\n9028 13897\n16849 18765\n5376 15693\n10325 16271\n6981 14429\n11290 19834\n15433 17478\n13600 14989\n13397 17503\n7253 13010\n4489 18618\n10530 11376\n1010 11107\n6723 17077\n3822 16862\n8962 18051\n5289 17733\n17754 19076\n9339 13630\n4701 12986\n7063 11661\n621 18496\n4338 13258\n13986 18657\n2356 6300\n12816 20046\n10590 15129\n8664 13996\n7975 18003\n2196 13475\n10608 16116\n2224 18302\n6176 11678\n4271 4554\n8752 17936\n14431 16128\n259 6939\n1442 12343\n8972 18226\n1524 17422\n2363 2435\n7394 11587\n5847 19011\n14982 19632\n5481 11106\n8673 11425\n1118 16245\n5534 19962\n7025 18891\n8975 10230\n330 16868\n14528 16636\n9775 18428\n13822 17880\n1327 16168\n6862 15945\n5974 18587\n2364 8457\n7502 15824\n2789 15429\n4698 13754\n6568 9081\n5229 17770\n10572 17359\n706 12705\n10296 11654\n12475 19022\n13881 14232\n13899 19820\n6340 18013\n2747 3126\n11284 17005\n10241 11658\n8338 17655\n8942 11643\n1282 11709\n200 12128\n11310 15222\n2294 3505\n11032 14286\n17910 19200\n2421 12778\n13081 18011\n11933 20217\n14546 14666\n200 18675\n4540 17014\n15834 17566\n13791 18686\n505 19090\n4069 7030\n907 4430\n11513 16595\n3000 8776\n4282 15585\n798 8416\n13909 14100\n10153 13927\n944 19384\n2283 4128\n18981 19258\n6523 12067\n5521 13673\n6184 15641\n10841 14783\n6097 7424\n223 15872\n12656 15409\n3449 19269\n17001 17533\n9067 16817\n9569 10990\n1126 4244\n9146 18231\n15559 20143\n2407 9601\n7402 9731\n894 15125\n6836 19912\n10850 11234\n3719 14211\n6386 11183\n8240 16325\n11796 18042\n6605 16171\n6272 13384\n808 19194\n7920 19943\n16387 18347\n8030 16846\n14488 17933\n15091 17674\n10457 16939\n1025 12628\n360 10486\n11624 19895\n8791 9787\n9168 11908\n5673 10277\n10722 11451\n4387 8389\n12779 18740\n10475 18100\n6630 17033\n8289 9184\n3637 10379\n11616 19218\n15244 19095\n6855 19505\n9323 15734\n8765 16680\n3715 6959\n9516 19763\n5488 13838\n11422 17600\n3803 5135\n13852 15048\n3295 17668\n4925 17451\n16900 17438\n8694 14234\n8232 19691\n1823 5375\n1773 14768\n3446 4196\n12982 16355\n2744 10182\n5499 12011\n1941 16029\n14210 14377\n982 3433\n3799 17554\n6852 13393\n5887 17808\n1525 18442\n16197 17805\n6339 15519\n8271 19856\n15697 20207\n1701 7502\n14548 15390\n720 10828\n3773 11010\n1321 8601\n5556 7006\n16048 18045\n15335 16435\n13480 18141\n2479 10934\n6587 9541\n10472 16668\n10365 15956\n9245 19579\n2673 12024\n1709 14473\n4626 7676\n4742 15222\n6640 16145\n665 2804\n13407 14869\n2298 7402\n4902 6925\n2806 14167\n248 11592\n1433 15003\n8667 13592\n6531 12484\n2509 12885\n5059 13861\n7288 11252\n5317 7716\n2268 17952\n2767 6338\n12262 20031\n2507 9609\n18928 19200\n12568 18758\n1654 3974\n13072 13172\n9538 19110\n12009 14091\n7582 18442\n12247 17375\n954 2770\n15620 15932\n14018 14379\n5379 16210\n6535 13381\n10246 18798\n9089 11397\n1942 10811\n8260 8873\n13141 17588\n4017 7101\n1260 5038\n25 2608\n7862 14184\n4385 5931\n11955 16458\n11854 18399\n10275 18386\n6815 7740\n8521 10360\n14830 14947\n15898 17366\n2254 4556\n738 8599\n7943 19181\n4015 16479\n625 956\n8793 18605\n5457 5788\n11057 17622\n8362 14060\n11945 14583\n13565 16098\n225 14347\n9055 16420\n3436 14314\n3002 12700\n5953 6286\n9977 14509\n2715 19702\n2505 13881\n11367 20075\n4618 7981\n9695 9907\n7893 16957\n28 3805\n5984 14107\n1608 8634\n1608 8318\n6677 7244\n6682 11682\n2230 7809\n283 11142\n7963 8318\n6795 9146\n15930 18880\n11486 19998\n8197 18243\n5871 18779\n2043 9881\n3781 5797\n6246 16275\n1732 6850\n5929 17064\n9601 11259\n11247 19729\n1877 4211\n15547 20079\n1049 15587\n6115 11662\n14178 19009\n13371 17966\n10702 15893\n1871 6422\n1739 6366\n4122 14888\n4747 18304\n14694 19765\n3953 10209\n7385 20225\n7493 11157\n7134 15529\n573 19002\n6932 20070\n8702 8802\n5658 7847\n9512 14717\n699 10924\n878 19869\n5431 10309\n715 7184\n849 13014\n4393 7920\n12002 12600\n2200 8555\n12768 14671\n1395 5665\n11684 17865\n5264 16284\n10910 14316\n14740 19836\n1616 9250\n6603 14419\n7802 16066\n11105 11798\n4487 11229\n10300 19432\n19078 19490\n11219 17518\n17798 19370\n9531 15007\n17952 18956\n8561 19329\n9778 13421\n9296 15840\n4180 19989\n7284 9507\n929 15406\n13110 16108\n17447 19077\n497 17770\n4390 4766\n12937 15542\n12036 12746\n5273 11820\n600 18878\n11991 13020\n12068 16378\n3615 8368\n3889 9622\n2716 19757\n3982 7018\n1655 4653\n224 4120\n5421 17242\n13589 14914\n9374 19718\n19084 19393\n2594 16241\n16623 16937\n7002 7603\n10022 11385\n1852 11362\n1808 2662\n2353 5721\n7520 10827\n1760 17651\n3159 8083\n3501 12105\n8278 18757\n1288 5762\n631 6375\n5675 11758\n11393 13015\n561 17232\n3022 13364\n15696 19989\n6370 17502\n3839 16673\n5319 6730\n8147 19184\n2095 15116\n3854 15190\n18840 19244\n14041 15854\n1555 11250\n4378 14416\n5592 10059\n3492 16570\n10894 16865\n2170 13538\n1379 19229\n2305 16858\n2415 8990\n16783 17824\n5131 14303\n10924 18739\n6802 14175\n6718 15920\n3182 17936\n4074 17059\n7782 11038\n10766 16121\n5078 9613\n11346 12432\n895 2695\n10391 17749\n3290 5570\n1427 19499\n2465 19896\n5876 9026\n9048 11148\n2120 17150\n7471 14955\n694 4559\n9461 17256\n1395 8543\n2249 11097\n4406 9739\n4029 5865\n9632 14604\n4388 8926\n11237 12273\n2140 12674\n7791 18796\n9384 18621\n13314 15527\n9709 20281\n16773 17424\n9401 17472\n8330 17186\n5012 14317\n2165 17293\n10730 17355\n8692 11319\n8805 15150\n10703 17009\n10098 13468\n1258 6465\n743 749\n4723 14677\n11950 17116\n483 574\n3690 16920\n7781 13349\n3836 17524\n10711 15916\n634 10215\n12235 16338\n1614 16511\n8591 15221\n8861 17364\n17552 19266\n5376 7500\n730 5303\n9082 12723\n16205 19513\n3638 8670\n4525 18230\n9284 20264\n4071 5312\n11066 19050\n2041 13382\n5671 8312\n4492 4615\n574 13937\n2034 8312\n7445 13267\n5873 17465\n1078 9810\n4918 14393\n5549 13911\n8410 14792\n9616 19147\n3010 14081\n6674 8629\n18772 20102\n7428 20161\n10351 13473\n16410 18515\n5867 7621\n4666 12815\n10453 12753\n18125 19651\n4630 7679\n13052 16901\n1249 9457\n840 3227\n1991 18816\n6899 14925\n1553 12013\n9834 18090\n6193 16304\n3247 10326\n19137 19843\n8938 17885\n4155 7414\n10689 11061\n1957 7038\n13199 14552\n13296 14870\n1295 18967\n6938 19217\n13883 17330\n5924 13446\n5629 8099\n2891 16676\n3417 15022\n6812 16729\n11665 17594\n6150 11497\n2831 12128\n9120 9500\n4543 6943\n455 10479\n12430 18268\n11668 15949\n14312 16297\n9777 17650\n10461 19830\n6700 17508\n399 17520\n17464 19534\n8096 11621\n3213 11233\n4653 15866\n9685 17924\n1371 17922\n10655 15526\n8333 17741\n8755 11036\n871 19399\n707 2036\n15464 16805\n1368 16903\n4789 15031\n7395 13095\n7804 9243\n7597 13059\n1547 17985\n10081 17954\n4749 7961\n4047 18039\n12186 16111\n16831 19155\n9357 13569\n7008 12713\n2519 6270\n8141 17005\n12184 12857\n11222 13218\n5769 17016\n4974 19975\n499 16774\n2248 12795\n3261 12131\n8140 18799\n9242 16176\n2110 4837\n3375 15803\n4788 7699\n15264 15384\n4499 18866\n4707 12377\n3995 15153\n10983 15042\n8966 16619\n2324 15185\n3659 5518\n6503 9820\n6882 19766\n10265 20031\n2156 4484\n9347 18492\n1335 11238\n12243 19402\n8336 17904\n12823 15716\n4927 19232\n2395 4018\n5814 16510\n1678 17867\n4328 5254\n4343 10880\n2778 11408\n10744 18066\n2970 15245\n4286 17154\n6116 12179\n5985 13179\n3874 6966\n10144 14364\n13581 19408\n9950 17300\n5330 13563\n3649 10430\n13720 15749\n1768 16215\n978 10784\n5983 10174\n245 19082\n3205 7307\n6766 14343\n10638 11709\n7922 11253\n9878 14402\n299 9323\n8345 14942\n7837 8598\n3920 15788\n11054 16398\n5990 11430\n2395 19740\n15273 17168\n4036 16783\n13211 18159\n1979 12728\n2941 10838\n2838 18032\n14578 15026\n3262 9970\n1015 11724\n10375 13171\n7642 7866\n4384 13455\n16689 18112\n1862 10513\n174 14923\n8841 11947\n2660 7393\n6339 19583\n12440 18376\n2593 6051\n8070 10093\n2780 5074\n2497 10713\n5214 14156\n5779 5940\n11676 18818\n160 7486\n2313 11142\n9567 17879\n5581 7704\n17482 19836\n2780 6275\n2067 13286\n17129 18601\n3973 17920\n14101 15950\n1405 17820\n634 10781\n984 5827\n2963 18156\n208 12874\n1039 1492\n6445 8411\n7588 14859\n15690 15794\n7372 8429\n1625 19033\n4374 4522\n2707 19189\n13121 14418\n6473 17811\n14107 19792\n2349 4795\n7933 11106\n3584 5749\n1998 6237\n4966 9171\n208 15884\n13597 18083\n65 7495\n9502 15316\n4665 19739\n8673 13817\n7623 8146\n3703 12617\n5448 16725\n4760 15060\n8561 12156\n11863 13107\n4581 13320\n5169 7551\n7757 9005\n3688 14897\n17855 18342\n11905 14833\n6807 19059\n5275 5296\n6446 8874\n5277 7345\n2542 16782\n2599 11402\n10851 16609\n17202 18505\n12522 17194\n2461 19833\n6407 11175\n6597 12820\n5859 13260\n4902 15435\n13640 13672\n14945 19140\n11436 11983\n7315 8304\n12233 13451\n2897 17682\n15612 18749\n4732 12013\n5494 6255\n6187 16649\n4744 19746\n11365 19046\n6894 16196\n8195 8365\n1663 5748\n3438 18001\n9718 11086\n235 13518\n5438 18963\n4250 11716\n5900 18043\n3148 17196\n2629 4786\n14457 19162\n8963 12670\n5990 7744\n3695 4485\n4971 10601\n7781 9833\n1326 6065\n8899 18076\n7353 8079\n8241 18558\n4031 9026\n205 6855\n3988 17698\n2103 2360\n3724 5553\n5494 18597\n571 1045\n6243 20288\n12932 18371\n1814 12342\n7562 8979\n4914 13682\n9325 19314\n13227 17368\n5583 13422\n4699 15255\n351 10443\n639 2388\n629 13671\n5815 11974\n4604 19191\n4867 14965\n506 6503\n1097 18934\n10075 18155\n5405 7644\n4527 12816\n1808 19079\n6591 10896\n14756 20191\n15635 16428\n6051 7653\n8184 10348\n3853 15483\n11163 15601\n12851 16303\n7306 19507\n8290 17632\n8073 14832\n3429 3579\n10721 14942\n5549 18700\n256 3522\n6813 14568\n4112 12310\n1125 8090\n9802 16466\n12452 17872\n13592 16420\n5308 17502\n8581 8596\n8449 8937\n6251 20212\n10983 15141\n5104 20242\n9822 19288\n9839 14666\n3156 15351\n14556 16088\n4651 19425\n3064 6317\n1439 9395\n15293 17905\n11226 15608\n18497 19708\n1985 7101\n9605 16756\n11732 13148\n14614 15797\n1838 13678\n2027 18477\n4127 16650\n8507 12436\n6802 8549\n4654 10591\n12111 13171\n7639 11265\n2705 6739\n10070 11667\n3276 20134\n2927 14180\n15486 16626\n3251 4502\n4387 7022\n4386 18145\n5963 6005\n7930 13304\n8256 16462\n10140 12004\n5662 19069\n67 280\n3591 7369\n15692 18652\n3050 5469\n1294 11803\n12532 18085\n1970 13491\n1160 7245\n139 12116\n7285 13053\n18196 19544\n943 13968\n7984 16320\n271 14157\n4345 17075\n7431 8952\n1402 18597\n5128 16000\n13032 15831\n5460 7979\n9145 12717\n3577 10249\n1761 15916\n5888 11124\n15105 16205\n4602 14697\n9659 19564\n2912 5309\n6632 10259\n3575 9968\n11760 13704\n5467 19382\n2449 13423\n7197 10955\n7551 20187\n12877 18775\n1997 8639\n1143 1584\n5752 11702\n9993 18845\n12867 13786\n1252 9195\n4247 9406\n10672 13983\n4000 6269\n3351 16436\n9705 17549\n4961 17803\n11394 16948\n2725 18711\n5747 8925\n4937 19781\n5276 9225\n9190 12565\n10461 18906\n3007 14437\n3196 19586\n13940 19046\n13548 15368\n757 14657\n18719 19589\n48 4188\n12830 17990\n5781 19156\n4472 7460\n1038 6592\n17911 17997\n9200 19070\n706 9191\n3887 8034\n9355 12408\n7289 10598\n16749 19867\n1167 11275\n13668 17340\n58 15554\n6653 19693\n4022 19040\n1546 13070\n2763 15536\n14370 18509\n6445 18116\n1544 14736\n1922 5010\n2800 3755\n1323 18704\n2021 7915\n8122 8731\n1456 11071\n8613 12276\n10797 15686\n1142 11116\n2775 18537\n16346 20239\n2504 16570\n9312 18804\n10865 11168\n4181 20066\n7712 18850\n12489 16977\n14850 19532\n10319 17882\n6759 8669\n4011 11086\n8648 17957\n13877 19959\n1049 1500\n6622 7372\n1318 5101\n5985 7357\n17959 19146\n805 13956\n17904 19833\n9237 17607\n4920 20065\n5885 7124\n6766 12135\n2337 11856\n1232 19779\n10400 17976\n6453 7890\n2308 13683\n15945 19904\n371 9376\n2117 17034\n4160 14333\n5561 19927\n5371 7406\n5360 11067\n15014 19319\n11365 20075\n12525 14613\n5833 18125\n12463 14129\n9457 10910\n12478 18812\n958 2392\n455 7148\n5630 16764\n4285 18192\n4826 7398\n2525 14908\n11802 19172\n6304 19710\n11152 16468\n6352 12736\n4718 15998\n10436 10867\n17347 17639\n1452 13209\n5197 9332\n16554 19422\n10251 19679\n223 8338\n14841 16692\n9076 16868\n1108 11347\n1116 10293\n1505 1690\n9034 12310\n989 7561\n2272 15966\n10100 14978\n36 1420\n17878 19313\n7776 17924\n10708 16307\n12000 13821\n2807 8684\n14062 15767\n11755 15835\n6474 11998\n4995 12272\n4134 6149\n6262 11993\n12398 18798\n2244 4540\n13288 15121\n1694 7862\n18372 19884\n18199 18907\n15519 15853\n1855 10059\n5422 5788\n13696 17809\n2350 7341\n1851 7329\n10948 12493\n1231 18384\n2671 9802\n2408 9830\n9722 16238\n5718 13200\n5783 15304\n55 12047\n3306 9914\n9278 12816\n10913 17614\n765 9193\n7423 19857\n5442 12486\n2357 16324\n9789 11809\n6401 16509\n14195 16145\n6050 8249\n9991 14961\n15501 19649\n7215 13909\n5902 18972\n4403 12856\n3009 5949\n2852 14221\n7306 14310\n10604 19847\n5552 19476\n3221 3847\n7245 19246\n7564 11616\n1532 8179\n3946 17582\n3618 8532\n66 1504\n3641 9459\n8356 11951\n9251 14007\n5306 17972\n11094 16995\n16783 17275\n5020 15924\n6937 16868\n4371 10574\n6235 12967\n2923 17296\n6926 11531\n5005 16171\n9736 16416\n13384 15039\n17933 20028\n4314 10941\n348 4365\n15160 15413\n14512 17416\n572 1644\n15426 17388\n4102 16695\n57 8127\n7414 13283\n499 8084\n7852 11685\n3568 4966\n3893 6707\n16624 19058\n3774 19240\n7442 9357\n5287 17592\n2929 5339\n11474 18033\n4432 10482\n4417 17334\n865 4192\n10155 12996\n4134 10092\n3798 7928\n1343 16755\n4546 12378\n1027 8560\n2777 11610\n9015 18021\n10090 15662\n5240 11410\n2077 4443\n582 16653\n3150 13125\n7407 8403\n9676 11933\n3880 17327\n10686 19697\n1854 3339\n1007 17412\n10503 10682\n1738 2661\n126 3545\n15474 15961\n11730 19040\n5959 7377\n4200 11767\n8632 20002\n3678 18967\n4727 12901\n628 10624\n18835 19640\n9187 15823\n6786 17722\n8081 20205\n11376 11463\n9278 20151\n705 19279\n14819 16645\n11207 17012\n4079 12776\n7557 16040\n11521 13836\n7140 7268\n8757 19217\n3460 4623\n8031 16016\n195 6450\n4253 12388\n3749 17872\n13980 14216\n5735 12364\n1517 11960\n13290 19204\n4471 10566\n12621 15109\n4240 6519\n1070 14381\n1274 12967\n9199 15596\n15839 16199\n6696 15629\n4687 9853\n15268 18185\n5509 6616\n5590 9163\n7137 11679\n730 12261\n9591 10001\n664 4462\n9135 12263\n18775 19354\n1769 8865\n2380 3729\n2701 14968\n10868 19651\n15620 20127\n10112 14573\n3521 15275\n4859 8389\n3611 10873\n7945 8411\n3698 6598\n1528 19843\n12851 15899\n3962 17908\n19165 20177\n7684 13123\n13819 16864\n5485 14336\n3044 18552\n4770 19249\n9510 11284\n2771 12614\n8658 10868\n2912 14319\n506 779\n16760 19796\n13482 20228\n9152 11444\n9350 18597\n9733 13181\n238 19995\n4233 5455\n7523 17484\n3416 14112\n10250 17181\n8359 13555\n9185 19581\n8813 19255\n1824 10622\n12562 15619\n318 8148\n10762 13543\n141 9007\n3508 19463\n3753 5179\n3060 11937\n10866 19603\n13497 14451\n2951 12713\n9655 17020\n3203 8900\n1661 12734\n2740 2912\n3786 19319\n3896 6554\n3900 8043\n14661 14680\n4753 15498\n2384 17862\n819 3317\n4837 10692\n2112 19402\n10544 12399\n636 17814\n1436 19004\n7091 11215\n7036 17706\n10539 14350\n11135 19291\n10591 13725\n1044 2020\n7515 10670\n6956 19015\n3210 14974\n12989 15477\n5839 9206\n5935 8977\n14132 14468\n2760 4107\n4839 16998\n6713 8092\n14882 16346\n8806 15238\n3602 8783\n4532 8210\n11229 15488\n992 19578\n10524 12738\n7181 8216\n3701 17420\n9185 14971\n5469 14586\n4528 12551\n3261 16821\n757 3791\n9590 14402\n11799 13233\n5658 17773\n842 9918\n3314 15501\n11775 19543\n17390 18495\n9141 14882\n1520 19546\n14172 17432\n6865 11844\n145 8575\n2564 4809\n1604 17225\n2897 4017\n4138 16579\n5188 11902\n10010 14156\n9918 10501\n6271 14825\n4835 18453\n12469 14105\n11358 14478\n8963 12844\n19 8637\n13635 16422\n8862 9742\n8251 9088\n9406 10803\n10762 19270\n16981 18644\n4537 15943\n3655 19182\n13430 15476\n16054 19174\n15781 17959\n4688 5688\n10178 12493\n13062 17092\n9545 13293\n3480 10780\n3808 10108\n13714 14709\n8799 18268\n15751 19143\n7435 13383\n14704 15740\n4314 13221\n14453 18059\n178 10575\n6600 10229\n3374 15717\n1035 6204\n565 14216\n5807 19743\n2283 5843\n4 15000\n9761 10287\n1760 20230\n1543 3148\n2440 6625\n12509 18682\n13403 15930\n750 19052\n15098 16703\n11482 20159\n1422 2020\n11733 15071\n8852 15399\n976 16578\n5853 8370\n8299 14869\n3309 4409\n15769 17715\n850 17381\n9707 11123\n13174 15759\n98 3310\n4553 17692\n6647 11452\n8475 19240\n6122 6241\n12960 15506\n6624 17006\n4326 10016\n10339 14735\n4072 15581\n810 5147\n14197 15162\n1751 20138\n2106 18327\n4469 12269\n1786 18506\n5208 13525\n2534 7870\n11636 17427\n149 5757\n12234 19912\n2067 8566\n1981 3218\n9762 16465\n9098 17414\n6276 17791\n8934 10992\n518 5818\n8267 8862\n1175 6038\n4246 17521\n14851 17709\n10683 18516\n1870 7405\n6987 10790\n1425 16007\n2622 11435\n3663 15401\n5315 16496\n2816 14405\n193 2720\n6602 15294\n4239 15411\n6513 14979\n4561 9312\n6631 14079\n10433 10561\n12930 19813\n22 1912\n1242 15682\n7418 10581\n4503 5327\n8773 17942\n8708 17087\n1466 6617\n6041 7291\n6284 15736\n7967 12832\n2736 3246\n1276 11647\n2416 12425\n14181 18899\n166 14612\n14254 17410\n15489 17458\n10386 12754\n5726 16200\n6760 16307\n1617 15676\n5926 10449\n929 16098\n12751 16316\n7799 18682\n9829 12264\n2243 10464\n8371 8570\n1564 9649\n10592 18572\n5548 12309\n3358 16316\n12822 18368\n8588 20249\n7772 18592\n17424 19003\n5183 6042\n9988 19256\n16544 17897\n13994 18461\n728 11018\n10523 14513\n2869 16401\n1845 15293\n7053 15867\n6896 17794\n8640 8909\n8835 11895\n3680 11952\n1615 2741\n14192 14541\n2480 18942\n636 16290\n1436 7068\n1784 17723\n10172 16162\n1511 17806\n16636 18386\n14186 18231\n2187 14377\n5707 10012\n6500 17326\n11418 18069\n3606 15135\n1552 8591\n13788 18216\n8548 20136\n1244 13848\n8263 13760\n7277 7316\n715 2926\n9868 18661\n1808 4409\n10942 13824\n9367 13615\n9874 14781\n426 5438\n1585 18819\n18558 20268\n17235 17806\n5947 9004\n15503 18265\n5451 11036\n12079 18141\n6580 14154\n4550 13258\n10128 19314\n3482 14624\n35 13010\n892 11550\n3195 5950\n1280 5636\n3256 17172\n1577 11814\n914 6649\n1238 16119\n1851 3744\n371 624\n6078 18644\n3800 8104\n4333 14718\n10479 11827\n14491 18813\n13254 17061\n869 16910\n5715 12935\n2603 17528\n8587 11866\n937 2984\n1507 10163\n3424 15295\n5783 13174\n12917 14660\n3502 4128\n5041 15581\n11583 17560\n592 9616\n2322 6133\n5846 13548\n5930 17012\n1747 17825\n12676 16784\n1663 10175\n18865 19305\n5705 7898\n3618 17256\n6214 10351\n1035 12106\n8468 11799\n3003 15222\n9164 14753\n4384 17552\n12881 16835\n3645 6248\n8590 19744\n5266 5757\n1848 15437\n3021 16471\n67 11361\n4283 18012\n4767 14220\n2867 7843\n6958 10018\n3529 13969\n9387 15982\n2521 15873\n7278 18950\n6656 11248\n1092 15520\n10383 16135\n15647 19002\n7806 9832\n2570 13420\n8670 16065\n15268 16529\n12989 14283\n949 14154\n1371 6146\n9622 12187\n2983 13414\n10187 19661\n3159 12700\n2898 4777\n11809 12276\n43 653\n12461 17523\n18931 19148\n862 1900\n10451 10584\n8111 19517\n3753 7698\n6047 14679\n2546 17953\n5180 6043\n16427 17466\n1661 9426\n1057 16753\n9567 14727\n9459 10874\n3569 15972\n3711 19556\n1474 12374\n16679 17596\n8259 14103\n13642 16530\n6417 15759\n3321 3485\n18224 20074\n9002 9238\n6453 7942\n18799 19006\n2132 10254\n662 8146\n3444 19500\n19459 20003\n2544 10323\n5500 18910\n6614 7960\n5099 6783\n3142 18403\n3331 5885\n4672 10779\n5338 15885\n6855 14829\n4292 7376\n3492 19467\n8701 12429\n6051 16590\n15723 20092\n5392 5898\n11235 11243\n2713 10389\n8824 17420\n5260 17019\n9359 14223\n7272 13016\n3435 9717\n13794 16036\n7147 14989\n5488 7638\n1427 2669\n8170 20115\n13430 18168\n10299 11119\n1237 6658\n8528 19808\n4323 5943\n13806 15489\n8339 11144\n10472 17223\n2266 8373\n6145 8087\n1426 13950\n2156 14652\n5700 18085\n2326 4163\n1607 5363\n3356 4592\n2645 11091\n8827 15850\n8891 14017\n8336 14412\n11458 17980\n11172 14246\n1834 4831\n11039 15119\n4130 13652\n13606 17318\n2324 11989\n5567 16180\n3808 12516\n10804 14984\n16376 17657\n7033 12500\n2440 7093\n2183 10775\n4301 4342\n8175 14296\n8779 14299\n11668 15908\n1369 12888\n10139 12235\n70 8002\n5593 10073\n12912 19428\n13011 18569\n7837 10876\n8593 13687\n6163 9041\n13382 13907\n546 2924\n1433 17539\n3254 9351\n6830 19510\n7047 19984\n1914 2654\n729 9338\n6369 16598\n6515 16826\n14577 16717\n2437 20091\n17948 18392\n8149 18762\n12253 13986\n6639 8246\n4770 11692\n520 8623\n2344 16465\n14706 19326\n15637 16199\n13587 13743\n7440 9686\n4713 12420\n6113 9127\n1708 7350\n3299 8996\n2597 16338\n13692 14606\n1965 13085\n8403 20191\n13311 17433\n4487 13541\n11769 13385\n3868 19266\n693 3890\n1230 1349\n3858 15178\n3526 12949\n4067 6552\n5111 7457\n590 15116\n2959 18877\n5863 9177\n610 2226\n18500 18976\n221 9938\n4264 18762\n5103 9084\n2917 14276\n990 10861\n1788 8395\n9285 14381\n240 3805\n6181 13344\n16074 19739\n17610 19946\n652 6956\n17778 18258\n10281 11843\n17159 17977\n14732 18468\n3311 4922\n2667 8812\n15798 19031\n13487 20053\n2115 9107\n146 12990\n12289 16470\n3874 12091\n11809 18451\n5884 17057\n11173 13397\n11675 20070\n3602 13128\n5111 15520\n8881 17632\n14120 15494\n1379 5680\n3160 8279\n6046 12117\n3126 13082\n1159 1580\n1071 2448\n5964 15898\n8771 9776\n7675 18501\n636 20227\n345 10624\n17192 18867\n5083 17840\n15122 19031\n13872 20039\n5780 7801\n689 15279\n1866 6256\n11908 16850\n1544 17845\n1437 1818\n8585 13428\n3532 4207\n7881 11014\n9768 10210\n11853 17392\n10798 15850\n5277 17060\n8279 13980\n16119 19582\n2922 8910\n9865 15532\n5193 5437\n1390 18149\n7936 8279\n316 16601\n8447 8926\n11292 15248\n15458 15872\n9583 19188\n4137 19695\n7509 9791\n255 11204\n5252 9632\n8889 12832\n10347 10639\n6451 11796\n4060 5455\n15053 18352\n11013 20042\n7435 16723\n10489 16058\n2019 16331\n1766 11339\n8450 14768\n4848 8154\n846 15074\n6392 10906\n12489 15031\n1696 11627\n975 12772\n14011 17935\n12269 13021\n10172 12857\n3329 15722\n8690 13840\n6392 15195\n11798 17149\n8327 12140\n4726 17830\n4123 14944\n14698 18165\n6439 9619\n5456 8620\n6306 14442\n7904 13256\n16631 17527\n1045 1175\n10013 17553\n2694 10071\n7575 18357\n3448 16539\n3854 10206\n13005 14798\n663 3550\n4814 5967\n269 9967\n3588 8435\n7208 18044\n11601 20004\n298 14643\n783 19707\n11657 16568\n563 14816\n14149 18301\n9600 10924\n175 4638\n277 1522\n269 11954\n2366 12097\n11754 18689\n1833 19863\n2337 14964\n578 9757\n8800 17394\n6672 18323\n11467 17797\n4210 7939\n1568 5756\n7287 8907\n9548 14882\n3078 15901\n2533 17395\n2294 15551\n14972 18212\n14749 16759\n17383 20130\n2122 5267\n7088 9339\n4989 16437\n2138 2998\n1409 6932\n7990 10842\n13235 15521\n16911 17584\n2129 17816\n5240 14661\n8910 10088\n9178 12035\n7064 12681\n6120 15618\n4290 16275\n2780 12246\n2342 11058\n7544 11042\n531 3059\n1364 3879\n1090 4623\n9075 15708\n1720 3146\n498 14792\n11353 13561\n18978 19186\n3516 8440\n1500 1582\n9738 14635\n201 9967\n6353 17733\n8291 16361\n659 10732\n3360 3564\n568 6143\n18185 19761\n2699 16937\n6417 16834\n17486 19375\n5316 15554\n6418 12134\n9386 11782\n9351 15705\n2113 17406\n2751 12737\n1226 8834\n10605 13205\n3449 4617\n8345 14816\n2260 8702\n3391 7007\n7992 11646\n15216 16570\n5235 16308\n6417 19141\n7515 8130\n5204 16426\n7443 12594\n1497 3685\n6550 12006\n10765 13945\n9271 10879\n9270 18321\n12026 16621\n1563 8894\n1744 4442\n1744 8786\n6358 9153\n461 18758\n1244 18295\n7244 14108\n2090 12049\n5110 11232\n6544 16272\n1470 18445\n1344 11958\n9091 9945\n8584 17071\n7498 11218\n7171 19002\n17637 18838\n3722 4375\n5772 19723\n3781 6242\n4371 16877\n17952 19395\n16534 17311\n544 9562\n1447 19790\n9575 12737\n6061 17156\n3638 12385\n6429 13002\n9919 14909\n3009 19997\n9827 14698\n1693 3535\n4084 14684\n7504 14566\n10925 16816\n7938 18602\n12945 14505\n12435 15289\n6931 12064\n6546 16074\n2942 18688\n424 19257\n5353 14770\n2526 19236\n7507 15600\n9590 16524\n8475 10253\n4360 16353\n2655 6102\n14766 15805\n4831 12346\n2013 19083\n57 1328\n13516 15763\n9169 16180\n9604 15000\n123 808\n8218 9729\n1638 11149\n9844 20084\n9760 16566\n13857 14241\n7356 19904\n4172 19347\n8063 9787\n13080 13432\n3338 7615\n7476 11618\n14543 14726\n5735 18638\n1625 19012\n4887 11358\n3748 10111\n11958 12877\n7037 11703\n5459 19565\n3584 8806\n10496 19972\n11724 18020\n4885 5753\n10311 18349\n2383 5525\n14233 17692\n2484 20241\n14211 17791\n1724 3037\n7964 18335\n2229 16270\n305 13555\n6643 10333\n7160 16835\n1488 18437\n10736 16429\n2553 15605\n1751 8196\n2752 19871\n6561 11716\n10133 12312\n8696 12955\n1508 6843\n4239 6425\n5707 8350\n13366 18519\n12587 18802\n2046 2736\n14907 15456\n4693 7148\n18000 18889\n7443 11957\n2659 8408\n3459 17217\n4305 15349\n10740 14032\n16242 16826\n7813 11262\n6955 7109\n11156 12902\n9365 15917\n17087 19276\n1605 3575\n5089 14939\n12124 18127\n3551 14952\n16576 19930\n1961 7330\n1084 19099\n5310 6138\n4016 5552\n6100 14802\n3284 3562\n11854 16657\n885 7583\n2052 11582\n13887 19932\n8204 10166\n6185 12421\n7398 18479\n11873 19722\n13237 15592\n2676 5020\n14161 19302\n15392 19563\n12902 14727\n14562 15005\n14022 15293\n2001 3526\n10727 17219\n6989 16744\n16077 19084\n6816 19298\n9480 10409\n8771 12838\n12776 14997\n8697 15070\n2123 8441\n4438 17990\n2982 19947\n2256 6500\n1952 9271\n4839 13305\n18124 19071\n591 18038\n5412 19457\n2707 11386\n5911 12057\n3906 18934\n13895 15415\n12037 19872\n3962 4486\n1425 8911\n7220 8806\n2433 14285\n2154 17391\n7125 13847\n2565 19212\n10776 17166\n6462 17940\n2851 8082\n8986 9847\n9781 9785\n661 13161\n9530 10271\n2853 10215\n96 649\n1148 7236\n9728 19064\n12672 15120\n5522 18391\n12342 14027\n11404 14050\n2743 9347\n10077 12243\n5171 12877\n2615 14146\n4033 19725\n4890 10286\n4100 9144\n195 12322\n4391 4647\n7382 8695\n19726 20166\n440 567\n1616 14691\n6710 10287\n14467 18775\n6046 13306\n15612 18414\n6579 7923\n2144 12099\n3939 13394\n10603 20192\n6298 19337\n1649 13886\n11517 19059\n4915 10839\n280 9049\n4420 6849\n3287 19780\n11313 20282\n10144 16006\n627 13375\n9074 9260\n8784 9896\n10637 16276\n9167 12300\n7695 10052\n2860 4973\n15741 17601\n9419 19066\n2162 12552\n4007 14926\n8819 17635\n7939 16594\n1013 8617\n11500 14295\n9387 18161\n4795 13236\n1675 16031\n13442 17636\n2550 18693\n6517 19466\n15934 18525\n3610 15383\n8457 9892\n1782 8329\n14080 14820\n2719 13375\n14819 15792\n719 6359\n8928 18074\n1421 8857\n3980 10316\n4317 16401\n6688 6941\n4684 14333\n4014 8949\n2317 5623\n7286 10239\n12047 17300\n750 11232\n16474 20024\n1944 8167\n5728 9593\n7526 8200\n1760 2136\n8030 11943\n5144 18907\n1390 13338\n2926 9671\n5048 6247\n1221 5091\n7488 12036\n2274 4740\n392 9535\n3766 5581\n458 11457\n18886 19801\n10690 17905\n6101 19648\n7879 13148\n9578 18461\n5985 7954\n893 18436\n13225 14905\n5428 7637\n744 17949\n14271 16428\n1533 2923\n722 15697\n11039 19755\n9162 10829\n3552 4713\n1951 2458\n8367 10861\n10253 17779\n743 8184\n2946 6901\n10378 11945\n19166 19817\n3807 18261\n4492 9290\n6559 18315\n2223 19305\n12007 18443\n10964 16551\n14737 18396\n5615 9181\n6055 12565\n368 18696\n3168 11395\n9820 18337\n4506 17197\n16061 18996\n8326 10629\n10577 17427\n15273 17531\n3545 17986\n1309 16295\n16570 18689\n12757 13625\n4025 16344\n11596 19739\n3036 17111\n7157 12173\n1998 16337\n7221 7740\n11174 18581\n16115 18156\n7326 8530\n443 5386\n896 4906\n1515 2654\n1991 19320\n648 14976\n4234 11347\n10384 19431\n3649 11258\n13174 17255\n11290 14255\n1642 7667\n481 2563\n11046 11192\n7815 10474\n11367 13503\n9827 10540\n1783 10502\n2475 12884\n6901 16060\n8944 14460\n3037 4485\n14256 19345\n13990 14109\n76 8821\n8005 8202\n2810 8207\n583 9784\n2834 5414\n7499 12957\n2831 15378\n4434 9796\n8624 19727\n10755 14101\n10105 14661\n11465 17881\n9870 19395\n6023 17822\n8276 15671\n2106 11599\n10670 10769\n11445 16827\n3414 19308\n10366 13680\n4251 20053\n5634 10064\n109 11634\n4671 16224\n14724 17200\n4400 13127\n9656 11073\n10160 18378\n5884 9433\n6830 10126\n10153 18847\n78 12688\n10678 19073\n11216 13542\n14591 16229\n6959 16138\n9753 13434\n9726 11762\n1456 19579\n10491 14144\n11577 18812\n2353 15764\n12114 19995\n7520 11851\n9228 11187\n1404 5654\n5883 6399\n2023 19265\n151 903\n860 2110\n8253 19670\n10300 10774\n1824 6454\n2980 11690\n7806 9175\n9680 14092\n9397 15797\n4111 5476\n11393 11605\n9789 13300\n13898 18409\n7627 16960\n2030 3391\n4382 6678\n18184 18633\n13209 18151\n3308 11023\n4529 8325\n11607 12738\n1041 1805\n9659 20157\n2100 5364\n5729 13703\n4858 12675\n3650 15367\n2055 19612\n2771 9736\n8436 19847\n9953 12170\n8833 19076\n3504 6988\n1698 15738\n7295 19716\n8775 10943\n513 1634\n6434 8758\n234 17944\n2439 10368\n13729 16461\n5402 18200\n386 1965\n3334 6514\n7907 15202\n1646 2041\n1435 13170\n9560 19975\n9908 17318\n7994 15141\n2522 12223\n3300 10731\n8986 13446\n13618 18958\n14615 17997\n2211 9606\n3331 18189\n9484 12613\n8632 19161\n5162 15241\n5233 16634\n9466 15170\n12026 14057\n6128 8417\n10930 11328\n8397 11832\n5939 7897\n8457 17424\n11935 16781\n14652 15655\n4710 9426\n11857 13866\n4250 7964\n2355 13074\n1460 9557\n4300 11687\n9939 15368\n6703 7312\n9979 19535\n4496 9423\n1234 18092\n851 9641\n1416 5305\n1167 6259\n3886 19608\n5028 12036\n17111 19830\n10627 11762\n7392 12542\n6801 9109\n4005 14076\n6210 6349\n8824 18770\n5235 9617\n2638 14909\n11591 11646\n7253 14608\n10959 20071\n5465 13873\n4851 11604\n3998 7032\n5530 6806\n6903 19883\n77 18673\n4346 6444\n6180 8382\n6786 11201\n10154 17377\n9001 17265\n4924 14671\n11918 19381\n9131 17513\n910 17965\n446 19971\n10136 13977\n6730 11007\n15620 16381\n3649 10617\n9984 18542\n3144 14088\n764 12320\n2607 18226\n6752 7445\n4632 12777\n434 10420\n10250 12731\n11138 18249\n5779 10637\n11849 18349\n1028 20069\n3273 19073\n2758 18867\n9961 16561\n11762 19256\n13110 13311\n7527 10293\n4305 17493\n1035 3317\n590 17358\n4614 13987\n8873 11854\n15784 18826\n312 954\n9675 14252\n17259 18588\n11795 16733\n6642 15844\n1546 16274\n2455 16062\n8256 9191\n4447 4632\n5972 5997\n15859 19348\n14548 16876\n5745 15457\n2053 3807\n6161 8793\n1289 17658\n1068 18476\n16214 16257\n16238 18652\n5429 8399\n3331 16200\n14592 14932\n9113 11308\n11832 14177\n7186 17091\n2717 5836\n849 16750\n2356 5821\n6519 18876\n6368 19006\n5303 9833\n760 16459\n11928 15463\n9067 12649\n1062 10549\n7102 13587\n10207 12658\n19595 19742\n4512 9748\n9588 10827\n5632 13294\n750 19566\n4617 11484\n4847 12780\n1945 11503\n5544 13563\n12375 15001\n7805 13853\n18150 19591\n5284 10412\n12693 14376\n12325 17678\n2113 2229\n1140 16927\n11474 16462\n1689 7965\n1623 6933\n554 4599\n246 19148\n754 13661\n2421 18908\n8614 13304\n3230 18360\n358 4607\n3177 5348\n576 17404\n3976 15624\n965 16946\n9904 11384\n1690 10346\n11249 11899\n8794 17529\n8229 19141\n9289 12315\n6343 12639\n7975 13327\n4986 19990\n14274 14285\n9060 12633\n3753 8261\n4080 6199\n8886 19226\n11847 18602\n16616 18302\n16176 17731\n9029 14073\n207 20002\n5954 6881\n8163 15746\n2079 4048\n14628 19473\n18182 20047\n11024 17202\n9835 10804\n8479 9765\n60 5184\n8041 10341\n719 14971\n536 4556\n1472 14999\n16371 17836\n2904 5506\n7006 10176\n146 14662\n1539 4902\n4973 19838\n16559 17620\n2177 12643\n2521 19288\n10215 14038\n3860 9067\n12032 12079\n16272 20237\n6292 20078\n2696 9561\n14176 19291\n957 16369\n10115 16986\n1689 19853\n1499 16591\n1023 20138\n2217 4721\n4997 6517\n8481 17571\n2922 6118\n17054 17752\n7859 8121\n9969 16561\n2691 10239\n6073 17277\n5473 11819\n11316 16272\n2893 6999\n10856 10929\n7310 11084\n4420 10517\n9897 19305\n6018 16918\n9580 18399\n8315 13250\n7897 16034\n5890 15084\n17327 18004\n18259 19517\n2346 11509\n11021 16861\n4757 5185\n3309 17829\n4978 15391\n356 5086\n10995 12570\n2470 15529\n11664 14545\n15057 18628\n7674 10824\n13438 14518\n4654 12434\n8224 14300\n12931 17728\n9446 14123\n2734 19057\n4183 13819\n11376 11462\n6375 7290\n4355 5842\n10103 12262\n8232 13521\n15616 18121\n13649 15848\n3684 12849\n10769 16315\n9591 15779\n216 14559\n2573 19647\n5438 6680\n1352 18576\n9429 9514\n1551 7599\n10008 18142\n1469 18600\n15067 18981\n4181 5703\n12815 14775\n5857 15583\n4508 5785\n8148 14930\n7852 8858\n6767 20275\n1425 4637\n668 8117\n4376 6492\n14140 15966\n15634 18804\n26 7769\n5298 6276\n6433 19347\n14413 16784\n110 13668\n6850 20124\n5510 12343\n9431 13040\n7995 13480\n8158 19728\n2383 4418\n13099 16247\n6268 6942\n5706 18558\n9389 19360\n6567 12318\n3872 8867\n2321 11996\n11464 17752\n13065 14108\n8898 9349\n14599 19169\n16090 19062\n12636 20125\n3915 5126\n2986 9747\n10997 15284\n11611 18965\n2683 16774\n10506 17910\n8183 16199\n670 12753\n16414 19012\n11007 18825\n9909 19719\n1479 11707\n905 19778\n2805 10089\n3326 14397\n9403 13196\n14495 20185\n10731 10979\n3126 7864\n9061 20258\n2869 15334\n2213 19275\n177 10121\n7527 10115\n7496 17675\n11426 19665\n1340 12085\n4694 12476\n7520 19926\n6941 8667\n7701 18244\n2698 19693\n1834 13224\n8235 18227\n1755 19859\n4204 17216\n10498 15982\n2338 4799\n12209 15476\n2413 18823\n7461 16072\n11317 17787\n3896 7147\n7502 10581\n344 19823\n3238 8224\n493 11569\n9761 20178\n4008 9834\n8104 19047\n9311 13084\n3868 7577\n296 13570\n4662 19728\n1063 11210\n1424 3463\n13880 16962\n8416 19392\n8914 14228\n5288 10159\n2134 17004\n8939 12760\n3497 12073\n3654 17894\n7799 9541\n5088 15910\n1519 7522\n9206 12771\n18901 19806\n5027 7343\n9042 18220\n4176 5412\n5039 15248\n943 15235\n5699 8512\n599 9071\n4772 14580\n1349 5191\n7711 14572\n13885 14152\n7714 12281\n10273 13680\n4738 6111\n9002 18253\n10027 15096\n4575 5580\n7595 10835\n13777 20184\n3399 9763\n11977 14348\n2436 10938\n16472 16818\n678 13892\n2616 13961\n11311 14814\n6453 10580\n13789 19974\n10188 15571\n4487 11946\n6733 18929\n1295 6763\n6428 11369\n11506 19044\n4917 16742\n3617 14190\n18651 20081\n12810 17145\n10592 13177\n11953 13753\n18723 19242\n11441 11604\n10193 13694\n206 4065\n371 3844\n6658 19793\n10211 18460\n8684 13657\n2953 8992\n5442 7507\n10396 16167\n6285 7298\n13622 16474\n14640 18835\n3549 20150\n4594 19497\n1670 3011\n3436 11856\n3958 13283\n16010 16891\n7337 13946\n582 9648\n11020 17842\n7743 16823\n11163 14515\n1690 20222\n3994 14553\n5053 18834\n8073 12937\n8102 13936\n3351 14814\n19110 19543\n3550 14342\n10331 10352\n440 7665\n12648 18062\n4273 8173\n11048 15952\n4919 8946\n737 16103\n7081 19774\n894 5582\n3436 12580\n3522 9333\n15416 17790\n5675 11722\n7026 19400\n1727 2788\n17028 18087\n12591 15458\n9773 10328\n1094 16868\n4504 4790\n3113 15473\n463 1224\n2450 8619\n772 18403\n3633 15156\n2151 17696\n1733 3357\n2749 15767\n4203 9810\n10941 17112\n5783 5977\n10986 14280\n12694 13527\n313 15203\n7715 13691\n1052 8184\n8735 19312\n517 2339\n5609 10243\n1400 18095\n1942 17467\n12873 19740\n1863 12810\n16878 16942\n803 1379\n14274 18111\n9288 12920\n2884 3929\n15186 19305\n4486 17295\n2049 16382\n6613 11846\n7115 13374\n8891 17169\n9606 13767\n9485 11591\n1551 17626\n5979 10641\n9541 14040\n5578 9657\n9410 17059\n322 11311\n15998 17434\n3397 9264\n1124 5019\n10210 12568\n3982 14350\n9338 13458\n13005 14051\n4508 9347\n7633 19038\n5437 7394\n1817 6971\n12134 15313\n9927 11982\n3256 7246\n1563 19337\n1308 3403\n17580 18693\n14617 16944\n12272 17008\n8878 13173\n1145 19423\n12868 18367\n2287 6226\n180 2544\n4497 7984\n1211 17500\n215 9622\n6217 9294\n10300 10920\n10826 14314\n3000 14340\n7616 11080\n3786 16083\n18069 19498\n9363 17101\n2999 14992\n4713 19822\n11088 13321\n8309 10878\n506 20225\n1182 8849\n6499 14226\n9004 17146\n1406 2513\n14577 16617\n6409 9036\n9039 17903\n5286 7338\n8720 18942\n6249 12308\n5332 15143\n15802 17344\n3194 18747\n10519 13093\n4298 15973\n3811 16883\n1156 6661\n14181 18177\n15176 16082\n350 14089\n11091 14121\n3508 16903\n16710 16841\n10286 15716\n9598 13744\n1280 10799\n3720 12494\n795 12978\n620 11331\n4980 15980\n180 19943\n797 1388\n9078 12922\n8224 10200\n6074 6654\n3608 7808\n8343 8861\n12367 17591\n4037 14733\n15121 15699\n13407 18425\n15430 18610\n11389 19677\n35 2196\n18268 18867\n3997 16762\n1253 1326\n2308 6837\n12394 19942\n3185 18013\n8031 9720\n2733 7318\n11602 12371\n1785 11091\n12555 17584\n7661 18946\n741 4453\n9011 9318\n5637 19235\n9627 18857\n10489 17367\n4091 6754\n9230 18548\n9254 10655\n5521 16549\n3275 17184\n230 12536\n2126 14896\n4226 12719\n4512 12620\n18064 20269\n14985 15703\n17278 18730\n4568 18662\n2134 3213\n14657 15362\n9958 15331\n1093 18252\n5022 9321\n17521 20040\n10541 15845\n766 5867\n3696 10353\n7827 9750\n13837 16432\n10923 13447\n2781 16423\n6790 9287\n12901 12923\n4128 19666\n7146 14383\n1690 13364\n10169 17417\n9067 19916\n832 4646\n4208 12234\n7856 9402\n3384 5203\n4177 12765\n11711 19056\n5813 18030\n2442 8630\n3761 16717\n859 14698\n12170 16629\n16437 19980\n5357 8313\n934 15909\n10710 19257\n988 15699\n6084 14019\n17295 17754\n1871 12871\n15999 16592\n171 17464\n6319 12246\n5958 16743\n5038 13291\n6421 17844\n7744 13407\n5225 16623\n5751 9472\n9919 15939\n16215 17897\n2950 6990\n785 12267\n608 6958\n194 17184\n4412 12100\n6689 16798\n4923 17148\n17097 18006\n731 18531\n8355 13702\n11325 16596\n3041 13091\n16266 17470\n235 10805\n5116 12236\n4259 6288\n10707 18171\n3893 4325\n2744 4443\n4232 12907\n2316 10950\n5110 18337\n12693 16418\n10388 18310\n3090 16239\n8056 10658\n1735 2591\n6028 10024\n16129 16446\n6711 17419\n6116 10040\n10545 20088\n1745 5273\n1298 18748\n6011 10402\n2005 18543\n10197 11261\n1071 8184\n10541 14536\n5471 11686\n6448 11453\n1196 19739\n11073 18446\n14318 16481\n4941 9948\n2548 10136\n12796 15451\n2366 3062\n9559 16374\n3902 6420\n6174 6309\n877 10541\n4498 5734\n6444 17140\n8207 13668\n9355 12861\n807 5025\n12851 14164\n6719 18532\n12893 15901\n14937 18860\n7923 18204\n7021 16689\n1840 3121\n1711 4740\n2923 19007\n12886 12951\n1820 15317\n7560 8052\n1430 18791\n13762 15714\n2318 8758\n2824 8202\n12691 19751\n1125 13029\n12057 14858\n10786 18001\n5479 15695\n10467 19557\n7991 11091\n1160 18212\n10158 16677\n10752 19427\n11685 13379\n752 6113\n5371 14223\n11003 18082\n12483 12503\n4957 10891\n14322 16724\n3739 5291\n13557 15948\n3043 14548\n11377 13004\n8533 14183\n1472 12563\n4273 13877\n10467 11779\n18499 19811\n1398 9142\n5502 11624\n2528 7485\n14480 17374\n1124 2442\n3981 15968\n12003 19360\n409 7350\n5505 11478\n9159 14769\n4186 5242\n17489 17600\n2074 3204\n15326 16923\n7282 19678\n5530 14069\n7519 16311\n4686 14498\n7764 17579\n721 16430\n5892 17165\n13536 18236\n9774 17511\n6458 10071\n202 7392\n15592 16389\n4016 13901\n14692 15879\n6428 14551\n4794 6623\n6966 8548\n15292 19343\n12452 14370\n3034 4503\n2641 10251\n11255 19368\n3856 12883\n1910 11914\n6749 13597\n590 5697\n902 8324\n7108 10816\n998 2420\n5372 7693\n17661 18056\n2179 8160\n10635 20126\n11271 14862\n8816 11890\n6464 14959\n6999 19458\n11523 12226\n844 2488\n7050 20201\n5672 10760\n4317 20071\n4755 10984\n9014 19725\n1594 11725\n6898 18721\n9989 18013\n1225 19700\n4496 18324\n2405 11188\n1479 18355\n1020 16147\n12216 12264\n4500 17475\n4603 10079\n6553 6993\n6862 14815\n5870 19442\n8431 16480\n9917 10845\n1684 19410\n11843 12563\n1103 7259\n179 9116\n6681 8598\n18992 19546\n489 1099\n4309 14828\n17004 20205\n8837 16342\n16124 16221\n2265 9447\n7640 17215\n787 17232\n889 12790\n12463 19735\n1640 5943\n3487 7381\n10121 17058\n10669 14778\n2929 6098\n6117 14729\n7858 8982\n4541 4932\n11406 11441\n9481 16997\n4391 8518\n6943 16766\n9944 15935\n17874 19594\n13352 16832\n8965 17668\n6684 13136\n6042 15606\n150 20168\n15890 17996\n14049 19675\n10832 14520\n11176 12724\n3136 15973\n12691 18910\n13540 14511\n6708 10318\n4120 7640\n2080 5671\n12595 19937\n5158 10877\n14253 16991\n1285 3581\n2458 17020\n12988 19200\n13082 15616\n6694 14166\n8961 16988\n1245 14405\n1643 13989\n1789 18758\n3129 7998\n8183 10810\n1822 18847\n543 3593\n2939 9998\n11672 17485\n2829 13536\n13410 15990\n16915 16995\n7927 17612\n12872 19971\n2454 12755\n170 4091\n470 3472\n6842 9559\n3637 15371\n9064 19499\n8174 9350\n4524 8777\n5122 7341\n2830 12233\n3848 5326\n6279 12807\n5827 7843\n645 6542\n1505 8778\n2577 9164\n10848 18330\n8546 10648\n8719 10441\n15906 16963\n13635 15059\n13463 16985\n12741 18136\n9263 14758\n2981 14423\n6125 13853\n7792 18698\n8331 12923\n1905 5591\n2867 17562\n13974 14586\n893 18056\n10924 15332\n6735 10428\n149 12613\n9156 18084\n8430 16290\n11729 14573\n16141 19116\n162 9557\n5836 10068\n4666 16763\n6588 15125\n10753 15075\n3242 6261\n7185 15726\n3987 10567\n8547 14555\n3750 6214\n7229 18933\n18209 18349\n7310 7851\n1175 2880\n147 18596\n11734 12448\n12059 18300\n6470 8821\n8172 13948\n2050 16355\n8 12114\n5692 16647\n8374 16738\n9085 11032\n593 8450\n5517 18356\n10648 18229\n5725 19766\n17315 17510\n3489 12050\n7375 7486\n7958 9744\n11555 12017\n1133 6976\n8932 15357\n6559 8409\n10467 16163\n2619 18712\n11864 14681\n2591 4014\n14764 16201\n6164 12533\n3819 11669\n8721 14521\n16041 17301\n13819 16138\n6654 10038\n121 14452\n4149 13074\n7698 19894\n6392 11007\n3201 10083\n2422 5954\n8295 17500\n10993 12308\n1297 9673\n10527 14292\n934 5855\n12801 14367\n3142 17326\n9283 13385\n5009 18868\n1458 17949\n17559 19343\n10298 18679\n8814 13038\n7922 14403\n15582 18032\n8689 20215\n175 18607\n5300 12586\n6939 16814\n12434 13446\n3833 11452\n17242 18178\n11753 19739\n11124 19685\n14357 18704\n9603 11931\n15037 19971\n4752 14540\n16622 19643\n4045 11215\n338 19169\n3210 4757\n4845 11849\n4320 20007\n7551 19458\n15920 17138\n1094 1619\n16703 19669\n5391 16087\n3896 18017\n5782 9042\n10042 16298\n6875 13895\n9689 16451\n8131 15634\n943 13638\n11331 18826\n3258 11573\n994 5426\n1546 13372\n7974 15258\n287 18991\n10206 18058\n207 2316\n4636 11376\n3086 16666\n1290 2860\n253 4429\n15177 15940\n881 6775\n5644 12646\n13496 15360\n10711 12522\n10152 14892\n12551 17023\n14907 15573\n1196 2233\n18479 18586\n7619 17988\n1948 19997\n6905 19283\n9673 18028\n5041 8835\n3316 18145\n8948 11324\n306 10634\n6218 19099\n3061 10817\n4686 20213\n7028 13640\n17428 18119\n1433 17224\n5218 5402\n11487 16186\n8930 9819\n5860 15483\n4576 15397\n7918 8926\n5041 20136\n381 511\n8893 19722\n1018 1064\n6465 15023\n893 15309\n10582 12581\n5339 6710\n1021 3902\n15703 19941\n5400 17345\n1292 6961\n13741 15312\n6645 18584\n9620 16723\n3607 14481\n2012 3690\n2143 16625\n5390 10148\n4781 5197\n1980 8069\n3576 19652\n3168 11913\n6232 16333\n7248 15718\n7799 10344\n613 3158\n4909 15493\n659 13940\n6614 11132\n3021 11963\n19773 19822\n5273 13987\n6682 7736\n441 9664\n4319 11482\n15091 17330\n7948 8258\n355 1349\n18171 19832\n5288 5413\n3183 13303\n931 6394\n1724 9450\n308 15560\n9677 9809\n513 10111\n361 11296\n15139 16368\n15956 20215\n32 6311\n10504 19559\n4547 18404\n3132 15936\n12374 18206\n4819 19464\n15670 18804\n11215 13045\n7537 12359\n14253 15868\n6911 10590\n631 20040\n12133 18885\n8917 9425\n3758 18275\n9269 19364\n8876 9233\n159 19504\n1845 5347\n13257 15548\n3062 18652\n2032 9474\n520 9979\n5597 18007\n2764 16423\n1679 15219\n3291 17923\n1262 3961\n7973 8626\n4379 16483\n1557 7511\n11083 14859\n15272 19228\n6174 7425\n17600 20056\n15282 16992\n6740 13681\n5273 18554\n12022 17133\n11921 16922\n8949 12614\n11035 19036\n4923 12504\n2039 2330\n10240 12462\n7625 17924\n2323 19876\n3067 5775\n5005 10750\n10699 13879\n6938 14364\n5 1299\n4972 5889\n6678 20271\n12013 19903\n3242 7052\n15701 19715\n2809 4849\n9415 16055\n13894 17845\n8119 17256\n16322 19978\n3058 16985\n11187 13602\n3633 17919\n6522 13072\n12962 16805\n8669 19515\n13526 17289\n4774 17328\n5724 10461\n8990 10032\n3301 14869\n6801 20014\n4660 5861\n5191 9948\n6910 18204\n1871 13240\n4900 6008\n13676 19348\n15832 17193\n12016 14606\n8702 8725\n9589 14255\n15222 18972\n8372 11448\n15251 16665\n1556 2200\n16550 17779\n189 9987\n1590 7499\n4447 19352\n2062 19402\n12515 15512\n1949 5564\n2195 6420\n14243 15349\n15758 15849\n10331 18587\n4922 11209\n12244 15431\n5537 12447\n1580 8688\n4342 5919\n4858 13774\n538 692\n8859 12700\n8811 16226\n5033 19299\n11455 11816\n8892 10600\n2151 13939\n12666 13657\n162 293\n763 14398\n12887 18952\n14288 14941\n6613 15904\n2533 5206\n13686 20273\n5078 16123\n2943 13523\n16369 17494\n1495 3512\n5032 5353\n11172 11720\n9378 16249\n16252 16860\n14128 16133\n8429 9372\n5295 5369\n4851 5147\n7798 8899\n7703 18314\n1356 2780\n18196 19166\n7607 8587\n11663 19446\n10609 15936\n3718 9884\n12455 14063\n9260 18278\n8722 16174\n11166 20178\n2266 16835\n4336 8776\n12309 19219\n5029 17875\n18398 19768\n369 11450\n7597 12615\n10353 14372\n537 13191\n4311 17545\n7617 16005\n6065 12080\n2957 2993\n4880 17983\n16537 19952\n10300 13371\n13329 15085\n5767 7412\n5522 16978\n3858 5103\n15505 16424\n4318 18747\n271 14525\n1425 7268\n17462 19830\n11155 18241\n10156 18060\n12730 15604\n8643 16506\n9488 19134\n2593 10736\n3604 19557\n12465 16436\n7150 9111\n4770 6332\n5315 9903\n16766 19986\n9645 12954\n3233 16716\n1438 17398\n7127 20240\n1837 14429\n12990 14669\n1780 6132\n651 6190\n4606 7964\n14892 15218\n7034 16495\n1884 13512\n4403 13739\n7492 12750\n4659 5465\n1540 7107\n10672 19640\n1314 16591\n11354 19671\n3632 6865\n9440 14844\n1891 11756\n12566 12877\n738 7385\n3438 9108\n4520 18360\n9366 10937\n4134 12990\n11318 15443\n11265 13125\n8552 10004\n499 19183\n11830 18393\n1143 14528\n15265 16739\n373 7869\n12235 18661\n1739 14114\n11658 14049\n7139 19219\n2611 9135\n6182 15972\n4639 9602\n1849 14979\n4228 19232\n5662 8176\n4216 20210\n7929 19302\n8701 10878\n5731 14888\n11867 14211\n16296 19219\n3089 19884\n2680 13941\n7961 9459\n2312 8903\n3741 10630\n11289 12058\n4792 13082\n1155 19530\n6226 7126\n14979 17909\n14983 18930\n10546 16339\n11013 16495\n3334 11884\n41 6250\n4211 16451\n12754 17800\n1670 3695\n4086 11133\n9053 10521\n6735 15948\n18574 19453\n3103 6319\n2466 11447\n13534 15780\n6323 12278\n4874 20125\n9958 10956\n6162 8742\n16311 17740\n3808 14998\n7675 13910\n3805 3969\n5417 14042\n5777 18887\n5674 9091\n2484 11147\n7453 18865\n9663 18454\n5060 7092\n1328 4171\n10551 15182\n54 11873\n13653 18691\n4217 18789\n1675 6536\n4759 16594\n6662 19501\n6618 11590\n6831 17704\n16734 17243\n7753 19230\n7185 10491\n1186 9228\n9514 20280\n3353 18761\n11340 12230\n16495 16741\n1877 2547\n13082 15046\n7247 19973\n13066 18394\n405 1697\n7333 9571\n7873 18254\n11613 17941\n4358 8598\n6086 20047\n3409 14449\n5002 12513\n4810 7026\n7195 8972\n4526 9286\n12629 16828\n13926 17316\n2570 12981\n6453 11684\n1214 12905\n985 8789\n1060 1408\n5859 10105\n2671 8680\n10216 15506\n7357 15724\n13398 17637\n14459 18320\n12722 18670\n2734 3434\n13041 18622\n6593 8117\n1251 19680\n4119 15358\n5980 17098\n6195 18475\n1401 16917\n2282 13219\n11430 17483\n9137 14607\n5587 11387\n8749 10478\n3978 13281\n3722 10855\n6936 11927\n1322 17705\n7857 16278\n8901 17745\n4425 8537\n8871 9192\n13563 18621\n7769 8043\n15116 17855\n14607 15138\n8159 19261\n8738 11367\n7714 16968\n10284 18615\n3347 6078\n2659 16443\n7487 16866\n600 8579\n1437 13313\n8912 11161\n13291 18995\n488 6781\n1185 15101\n5014 14662\n9329 16264\n6800 15673\n2766 16379\n8236 8704\n1944 16621\n544 17316\n2080 16997\n4962 5028\n7572 12736\n6936 8793\n9055 13123\n3293 17184\n14831 15917\n9809 19607\n11593 17010\n8146 12541\n955 10019\n12840 13194\n6476 8063\n1586 11994\n6699 19807\n13017 19389\n505 15720\n3426 5338\n7366 18042\n9533 11520\n12413 14595\n316 11339\n9351 19846\n1322 18516\n448 3919\n3102 9197\n981 3060\n533 11508\n3974 11855\n5761 19178\n4761 9703\n562 5769\n2394 5409\n2555 3626\n6789 16863\n2221 7815\n11055 15883\n6357 18817\n1604 14187\n352 8669\n5786 13485\n13087 15616\n5009 20261\n11313 14355\n12133 13230\n4594 4963\n4825 11635\n5287 12117\n7222 9628\n7296 14188\n7187 8095\n13352 15454\n5432 19718\n4857 18732\n9628 17691\n619 18112\n1644 9214\n3437 16032\n6642 15712\n16663 17007\n222 16771\n12429 16901\n15363 18554\n1357 8061\n18929 19575\n3851 16416\n2081 8675\n7611 12096\n4101 9592\n7997 8902\n17026 17133\n2079 11746\n8125 11655\n3225 7057\n1468 7021\n8899 10858\n8722 20197\n15678 20250\n10259 17785\n2546 4346\n16498 17306\n13704 16345\n10876 16936\n4305 9199\n447 2233\n1524 6539\n2905 13856\n8757 9031\n5452 9432\n2898 13391\n440 16972\n1279 5639\n315 13487\n3108 6145\n7425 12647\n717 2995\n630 1552\n1382 12252\n2084 5367\n4832 13346\n4754 18342\n3147 4636\n2518 20046\n5703 14293\n18057 18504\n4382 9410\n5596 13997\n10579 16129\n14074 17380\n647 9507\n1997 4843\n10678 13014\n9612 17125\n9928 14712\n7169 14581\n10965 13032\n10020 10845\n6564 16217\n6671 6794\n14866 16961\n8505 19145\n11260 14104\n9336 10327\n1637 2322\n8483 10157\n2734 6675\n10666 12807\n12633 16509\n3181 10201\n8060 19898\n13328 17269\n11353 18246\n19128 19754\n4633 18745\n10088 17772\n2707 11295\n5636 9013\n7727 14635\n12049 16402\n2863 19376\n9001 11094\n4056 4421\n14921 15248\n12887 17574\n405 14457\n881 1529\n7855 19254\n12840 12876\n7336 17075\n5662 10006\n12145 12898\n6448 20191\n12325 13677\n11798 11848\n9581 19765\n9527 14264\n13979 17603\n907 1308\n10623 20178\n11212 15476\n3241 11274\n6919 9228\n3543 15198\n5384 7700\n12708 14937\n6094 8890\n2667 8158\n1555 6242\n13319 14721\n7676 9205\n9057 13958\n9676 17332\n8483 15037\n2261 5854\n2222 13209\n8 16516\n8940 19551\n6637 13379\n6513 18320\n18104 19282\n3415 5140\n3628 11160\n13621 17488\n8302 11512\n3693 13137\n6548 10168\n282 13976\n1444 8151\n3611 4621\n11706 15404\n8680 11886\n7099 9924\n4919 15649\n8619 9541\n2691 10716\n5487 13194\n6202 9687\n17132 17959\n67 19543\n752 7800\n6036 15934\n12131 12221\n2442 15032\n12907 18940\n16184 18922\n4244 16758\n14472 18691\n394 11148\n5595 17658\n4047 19616\n7428 18365\n2676 8166\n2106 19697\n14630 16654\n13485 18633\n4108 13418\n11475 12223\n11639 15488\n4994 6469\n8032 16418\n10931 11114\n3087 6648\n2468 8071\n10285 14575\n801 2442\n2619 3704\n14952 19883\n13413 17554\n5636 16135\n6598 12519\n3768 16339\n8219 16717\n8623 12339\n17075 17737\n5799 12986\n1401 2572\n8232 16445\n11070 12118\n992 15832\n7678 8514\n2308 5957\n2553 14011\n8477 17300\n1761 6486\n3122 12710\n6099 10158\n1463 8804\n7313 12502\n7079 8261\n6255 16004\n9013 12379\n904 5491\n12705 18675\n6114 10740\n4938 6551\n10966 13279\n1838 5341\n11860 18418\n17670 18490\n3094 9334\n9960 10306\n11390 16553\n10200 18308\n3765 16510\n4567 11826\n4689 17224\n10110 17248\n14923 16728\n3051 12564\n3254 15102\n4034 8961\n11162 14138\n4018 11497\n448 6343\n1940 2670\n6455 11331\n13334 13740\n965 6164\n1276 16593\n14188 15385\n8128 14265\n4151 19196\n251 14217\n15167 16957\n17625 18417\n15509 17565\n10416 17275\n7069 8822\n9544 13754\n1046 3474\n5668 10093\n10041 13069\n10437 17971\n7343 16642\n6406 15631\n3449 20051\n3341 9482\n5726 14163\n968 18159\n1508 7138\n14301 16436\n1251 18285\n3543 8768\n5514 9249\n10300 17125\n2056 8178\n3045 16964\n7942 16326\n4919 16924\n1121 7433\n6385 11012\n14810 17632\n7915 10306\n11460 17156\n15814 19056\n19095 20128\n18719 20082\n2696 3617\n4611 11388\n35 4561\n9284 17237\n11599 19040\n13288 18051\n11005 16470\n737 13242\n2303 17841\n11190 18756\n2114 4747\n15075 18114\n16270 20005\n7643 19606\n9731 16390\n11848 14984\n12359 20287\n4208 12808\n4524 18526\n6589 8012\n8672 10439\n8750 8812\n1916 18752\n11483 16313\n18156 18942\n10933 19285\n3350 7006\n9675 15566\n3535 4318\n259 4583\n13370 13571\n2774 2819\n11135 20115\n691 15725\n3578 16004\n5333 16403\n1494 7926\n9530 10152\n1280 3506\n2631 15356\n1806 13745\n11154 16520\n11649 16308\n9775 15393\n4362 18135\n13845 16041\n11420 14039\n3677 6348\n14245 16000\n665 11320\n19113 19344\n6543 16602\n13042 18947\n12659 18891\n11737 14712\n1908 19397\n11694 17955\n1551 13282\n6169 17960\n266 15839\n11060 13414\n7043 16943\n4467 4604\n7289 8292\n3787 9679\n17324 18673\n6762 11381\n9587 18391\n3198 10409\n2594 13979\n9182 14383\n5854 11308\n17903 18304\n2059 4750\n591 9352\n6448 16815\n730 6812\n8181 17864\n1623 4099\n3729 16654\n16079 18957\n1320 9069\n11531 12316\n6453 16472\n2192 11782\n9354 11884\n3687 7237\n141 9415\n1947 6356\n4404 10258\n3114 3280\n13248 17877\n2851 11475\n8867 16804\n16926 18099\n40 3425\n368 5317\n5568 11828\n10490 11116\n860 17512\n10548 13037\n6072 19129\n16739 18060\n15403 18345\n9564 17183\n9443 12349\n6489 9144\n9719 16134\n4687 17043\n1629 4336\n14582 18464\n11198 11235\n593 9065\n9680 17330\n2473 16483\n2747 10067\n442 10238\n11932 14911\n11255 15244\n1769 6436\n782 7161\n6556 11697\n11998 18907\n11400 14465\n3702 13631\n10632 12364\n12841 13103\n2414 17580\n15716 18217\n853 16101\n6106 19948\n280 13552\n8047 15225\n2362 19472\n1384 18433\n4072 15052\n16567 16995\n15217 20044\n11024 12638\n1432 2176\n12653 18424\n7769 14654\n13747 17473\n4513 17076\n1121 16763\n8674 11548\n10947 13377\n4558 8950\n2539 18317\n6791 6920\n9656 14110\n4239 11748\n2027 10392\n5294 14562\n1533 17159\n1926 5793\n5404 12067\n882 4979\n10537 18246\n852 9162\n4363 8822\n9351 15708\n584 9824\n5869 15084\n789 14853\n7780 13946\n5406 12036\n5948 9414\n698 12872\n2419 14986\n719 10774\n8146 8950\n14631 16230\n12811 16048\n13701 18541\n8555 8810\n7217 9446\n5091 11501\n8302 10324\n2466 19738\n6621 10504\n2193 10732\n16963 18601\n7852 14994\n8464 9332\n3186 6112\n9721 15716\n3608 15237\n7516 10975\n3001 19841\n300 12633\n2853 11752\n9229 12263\n13879 17536\n1118 5122\n11345 14291\n2746 15850\n781 10721\n1065 1977\n7885 20160\n14846 17856\n9457 15907\n3481 15634\n245 4407\n12820 17761\n9635 19475\n643 9722\n5031 9976\n8653 19119\n4456 6773\n11626 14992\n3779 10078\n6344 18519\n10198 12524\n8228 16400\n10128 14702\n8170 18569\n6679 12663\n7116 10370\n4665 7256\n4802 11244\n2493 19661\n6796 8629\n7957 12105\n2060 16029\n13055 19156\n10457 16142\n5710 14361\n2051 9238\n7919 15986\n11673 14908\n16433 19691\n12878 19088\n6788 12270\n1652 17675\n11274 16551\n359 3893\n6046 10311\n12945 14940\n411 1135\n4289 16904\n2445 12759\n8332 15499\n4236 18214\n1499 4558\n2898 3177\n3119 6372\n1807 19987\n4233 10228\n7868 11626\n11895 15384\n66 20156\n13451 13708\n16466 18837\n14473 16499\n6703 19994\n5462 12302\n7865 14429\n320 6253\n10188 11805\n10544 18640\n7651 16480\n11577 18652\n5019 18195\n6640 19238\n6579 7658\n8203 15059\n7226 14423\n7335 17454\n500 13492\n9104 17267\n328 17491\n1034 16150\n2376 16017\n18300 19789\n877 5864\n1509 2611\n3138 4253\n5646 11629\n4601 14185\n5294 15010\n15111 19533\n763 18506\n711 12388\n5052 9669\n6985 7212\n575 17988\n207 19265\n6280 16855\n446 7047\n8409 18317\n9732 14462\n10854 18893\n806 18706\n7519 19255\n3582 19948\n818 13011\n9142 18948\n12696 18945\n6 5038\n3331 12303\n10025 12705\n13794 14402\n6531 11202\n216 16972\n12059 17472\n6561 13467\n622 12515\n11820 20189\n10710 18729\n2964 14069\n18416 19173\n7445 11732\n12820 17309\n15839 18326\n11541 11906\n12537 13963\n4949 6913\n9544 9726\n10903 12400\n2078 12790\n1000 18720\n14533 19003\n2989 6961\n4136 8298\n10004 20219\n3598 12500\n7924 11362\n17304 18600\n16124 17442\n7064 10057\n493 7074\n19096 19986\n3151 6647\n3588 14353\n2575 15410\n2485 9801\n15354 17131\n3775 19516\n470 15449\n9071 12360\n1548 5844\n2453 9425\n8423 13506\n2118 5903\n11437 15190\n9857 19479\n2819 6050\n6 5030\n9967 16214\n12546 17383\n332 19688\n1020 10878\n5188 18620\n4501 19969\n5895 19665\n11330 17951\n1140 20163\n9844 16133\n3291 13147\n1624 11315\n6979 15199\n2451 11484\n2946 18695\n12289 15928\n395 11326\n2991 7328\n1896 13808\n5976 19543\n3723 17965\n9085 14510\n14015 15825\n1010 10453\n4453 15856\n2334 4370\n3668 7781\n15411 18978\n3858 18306\n11192 12956\n4688 7485\n19080 20153\n12930 15484\n4193 14932\n6751 8666\n1984 19173\n9676 13393\n5792 10503\n11732 12277\n16778 17782\n1839 11207\n11450 19578\n9494 13011\n11707 16039\n8992 18941\n16608 16745\n16286 17911\n3622 18091\n3969 4577\n5022 11021\n9649 10717\n12972 13755\n8578 15328\n10643 11589\n8880 13326\n4352 5651\n2929 4747\n10892 16232\n6749 16404\n10772 14650\n6048 19343\n8007 11692\n10485 19718\n12555 17748\n6018 13460\n5757 13567\n8651 9422\n880 1544\n14148 15631\n5465 12415\n4931 5486\n15496 19437\n7761 8812\n10143 16618\n7753 12462\n34 11219\n8373 15031\n13443 18565\n3864 11581\n7244 14042\n8226 18078\n6219 8789\n3836 12024\n1063 11652\n1317 18575\n2308 4026\n13723 19905\n9446 9654\n1360 9452\n14752 15121\n1863 5353\n16638 17751\n6800 17449\n242 5752\n5409 10717\n7732 14505\n16857 19913\n3305 11983\n4688 20129\n3345 7307\n205 3884\n4547 12415\n8396 13125\n12089 17962\n14638 15700\n3900 12903\n9395 17010\n8658 18075\n2241 2716\n11 9487\n6143 15457\n5640 11198\n522 17613\n6332 11680\n6818 18855\n4963 13965\n14561 17232\n2262 9259\n5334 16997\n11090 18497\n5663 5931\n11247 13861\n10016 18931\n2309 10493\n17884 18993\n1225 12672\n10623 17034\n4575 12444\n11237 14115\n6845 14202\n14904 16268\n3600 16115\n1056 17610\n13678 15893\n1565 14218\n4340 10263\n3258 14189\n3710 15851\n10212 18257\n2227 18838\n595 14757\n2770 7422\n13909 17775\n9200 19513\n4641 11406\n27 17119\n16561 17415\n7211 16658\n1689 3115\n3202 4182\n5616 14734\n4915 15990\n19779 19964\n1391 11200\n17309 18607\n13471 18432\n1624 17337\n1356 11275\n3296 5785\n1226 2973\n6503 6851\n977 3334\n3677 6820\n1071 7074\n12103 20199\n395 17061\n3738 18805\n6260 13442\n16759 17908\n1929 7227\n4794 16801\n6608 12716\n7479 7984\n9318 16732\n75 8034\n4916 13460\n8325 17604\n6884 16231\n2431 4548\n3406 13608\n3620 5289\n8615 18203\n7323 13289\n194 9826\n305 20099\n10633 11256\n1471 5409\n11353 17562\n7127 9996\n4467 15513\n3349 16149\n121 2578\n711 4564\n9422 11474\n10007 11399\n18516 19890\n14513 18522\n6951 8935\n17101 18724\n13569 16627\n13 10433\n7840 14401\n15407 16396\n5751 16954\n18719 20170\n11591 20108\n7726 15998\n6524 15369\n9129 13862\n10455 12021\n10138 14518\n1553 5441\n5099 15359\n17951 19129\n8474 12614\n9107 15926\n358 3394\n1226 12801\n4224 13877\n1102 4694\n5254 8035\n2167 7212\n2027 13522\n10158 16174\n1847 8423\n4780 13276\n4887 6219\n8557 13254\n1305 20235\n10334 16139\n5026 17030\n11238 16974\n7538 8411\n6961 10752\n2357 5047\n1742 11148\n3677 9639\n11009 17368\n12797 15089\n650 19733\n5566 7427\n8046 8886\n3198 13007\n9035 10001\n6392 11050\n8132 11243\n12554 19855\n17537 19687\n1520 1804\n530 2305\n8374 19209\n8062 10784\n10685 13483\n5387 13500\n13013 13253\n16877 17135\n660 12458\n3923 7282\n9045 12288\n937 14113\n3501 15731\n2510 7831\n11609 18613\n7144 7582\n4283 17877\n1598 4443\n3209 15855\n6389 15743\n1460 5642\n7710 9558\n2995 8540\n3812 19890\n3323 14010\n16462 20203\n14244 18372\n2865 12011\n5026 19822\n505 5166\n724 16588\n11756 18905\n2554 11777\n536 10084\n48 1804\n14972 16336\n6771 12423\n4270 10670\n7396 19960\n8076 19714\n10326 18493\n809 10795\n1586 2668\n7001 7169\n5610 10015\n14619 19644\n1091 8275\n7363 7783\n4902 14298\n1867 2328\n13191 13292\n3640 7696\n15712 18388\n4395 6332\n891 13120\n10117 17346\n7526 9359\n5232 8730\n2257 13230\n2073 18670\n637 19598\n3553 17259\n9378 12007\n17724 19587\n907 14020\n2173 12680\n5310 11292\n6976 19242\n3694 6858\n4712 19226\n2007 17386\n308 4457\n8848 12650\n9565 15978\n9330 16078\n13477 19851\n3983 12090\n9217 16862\n2462 12723\n14388 16603\n12046 13593\n13741 14367\n1026 5854\n12610 17737\n7874 11795\n3395 18918\n5578 7943\n13626 14280\n6705 11102\n3857 14798\n8192 13309\n7555 8519\n3123 6125\n1735 6139\n541 15845\n3733 6640\n17437 18208\n1362 19713\n2487 3338\n3806 9391\n5076 11378\n119 5494\n19103 19450\n8256 19639\n6994 11335\n7379 19160\n6504 10651\n39 18772\n11557 18635\n13320 17368\n16599 17106\n4880 19089\n12527 12977\n6878 18626\n7681 10234\n1533 15548\n521 6721\n370 633\n7546 9389\n4852 12896\n1398 17171\n12477 19632\n1461 17627\n8879 19841\n9036 9869\n8607 20009\n12082 12608\n7678 18096\n7237 18034\n10283 13672\n9774 16871\n7717 18061\n3346 16932\n6778 11063\n4516 13806\n8820 10474\n13335 19072\n2360 13201\n884 6418\n8542 19469\n12017 14345\n14712 15141\n4274 10985\n7615 11198\n16605 17083\n2915 5844\n11305 17296\n7419 7920\n4306 20159\n6654 14656\n8887 18766\n14932 14958\n11891 13974\n3099 10519\n8442 9327\n1676 10156\n13377 13629\n8210 11031\n10722 15162\n17999 19512\n9751 13434\n1575 13780\n532 14909\n1273 17217\n14298 20250\n2247 3330\n6795 9962\n15418 20062\n11918 16783\n3087 19986\n2587 13392\n15609 15640\n3563 6515\n5914 14868\n2301 13766\n9160 17254\n2609 14273\n111 6521\n12636 18847\n2115 17443\n1790 8288\n3957 8716\n15166 20283\n2225 11474\n8646 14711\n1870 5051\n19240 19958\n5092 15269\n4194 12330\n9018 17096\n3405 4552\n12042 15216\n8435 19163\n8333 19950\n3553 6961\n6565 12666\n2979 7275\n12375 13569\n4948 14756\n14557 19628\n10012 14464\n4754 6517\n6022 8313\n5649 7867\n280 20241\n3060 4397\n818 9269\n3406 8435\n5246 13130\n15065 16851\n12137 18387\n2708 16595\n8785 9218\n16087 19140\n12509 20189\n12194 18151\n273 2090\n15992 16118\n2219 11650\n7878 11941\n10033 12085\n12838 16963\n7488 15822\n10164 19053\n6848 15024\n7838 18299\n203 12399\n5982 11433\n4242 16314\n4657 12490\n5090 10217\n9542 11162\n14518 18325\n2970 3429\n10518 18214\n7316 11040\n8155 15065\n9160 17615\n15921 17252\n14049 14422\n3442 7755\n1804 5162\n2439 2654\n10680 17270\n885 11354\n14592 15958\n6745 19491\n3175 15992\n5609 9283\n8182 19284\n7948 13248\n3457 16783\n3077 15446\n6350 11341\n58 12650\n4164 9885\n18193 19039\n1440 19076\n6269 7158\n12266 13593\n398 793\n7808 15685\n5720 12489\n10717 18095\n9766 10930\n7512 16557\n7930 11093\n5715 13910\n16511 19259\n5580 16612\n2367 12708\n14703 19166\n9173 13194\n2321 9759\n14371 19645\n5943 15995\n9182 19267\n5339 5654\n11791 19685\n398 14893\n6091 16138\n3934 6455\n5544 7479\n11418 17286\n2608 6096\n16052 16715\n13983 14344\n127 17203\n1389 7693\n3954 13279\n9451 12205\n13286 18533\n580 4507\n9930 17445\n4587 17393\n19839 20080\n9525 11488\n16991 19451\n10803 18297\n2716 3478\n6850 7301\n9133 14597\n2268 17070\n11797 19595\n1099 7629\n5209 11879\n1569 9598\n12838 16469\n2842 9188\n674 11350\n9539 18797\n13812 16111\n3477 6740\n8601 14696\n58 9226\n10205 13656\n11766 11939\n2819 12699\n4718 14462\n901 17408\n6533 11285\n2632 18170\n773 12719\n183 12521\n8176 15515\n4752 6356\n12955 13028\n4179 7499\n18609 19740\n612 20176\n10161 11970\n980 7591\n3705 14482\n9669 12038\n8896 14392\n7830 10022\n3961 10062\n4831 10532\n6721 13560\n1706 4214\n1975 10855\n2947 11933\n6551 10241\n16125 19863\n14121 17984\n8815 18908\n5179 5444\n1219 10328\n8058 9509\n14727 18013\n797 15255\n3297 6587\n6425 10458\n729 5807\n9707 17704\n6063 14319\n3470 7499\n1623 13109\n47 19912\n3984 7315\n7140 10766\n18524 19370\n7819 15599\n3362 11698\n12284 17937\n5886 18487\n6679 11281\n13665 13786\n7643 18489\n10754 19843\n6534 11213\n3064 17874\n10049 13131\n19532 19704\n8579 14460\n2857 14412\n3220 10388\n904 8472\n7513 8279\n5928 11498\n6973 8314\n13457 14336\n6633 19609\n6318 12990\n6965 10407\n1182 13567\n3089 7436\n9567 12247\n4071 18259\n15745 19165\n15313 18576\n5033 15062\n2480 10887\n9133 16316\n1321 13421\n7702 14058\n11383 16042\n5782 19600\n11056 20273\n4026 8111\n2463 7054\n9144 15367\n6193 9818\n12674 19722\n18109 19303\n497 7738\n4340 12524\n2787 6457\n17647 20130\n11507 14667\n1062 14222\n1496 7552\n8679 19508\n4735 14649\n15727 19310\n5109 14376\n4101 19504\n18981 19168\n4293 18223\n4792 16843\n10807 14847\n5851 8979\n5699 16125\n14615 16391\n6627 9704\n6864 8804\n12323 13658\n88 6066\n11480 13561\n10880 14889\n4672 17037\n6375 11832\n3526 5971\n7471 15902\n8164 10334\n12300 18008\n10438 12330\n4681 16257\n14708 19328\n7847 16657\n5843 7255\n5034 10580\n7200 19841\n10055 15638\n5787 8479\n141 14734\n1246 3914\n15120 19549\n18309 19898\n5344 11394\n17570 18721\n16754 18426\n7692 19523\n6198 11007\n7108 14880\n3287 18277\n3172 10843\n2113 2473\n8468 15091\n10255 18949\n13666 17553\n9317 18582\n11258 19116\n13844 19948\n6371 9653\n14394 19592\n3958 8172\n13722 17571\n1465 13811\n1508 1840\n12034 16515\n1808 8240\n5088 16050\n4018 5565\n115 18485\n11441 12726\n10563 19878\n11422 16140\n1683 15182\n13700 13803\n431 12308\n9221 9887\n12783 16359\n3313 14492\n10771 14956\n11140 14397\n4688 17481\n4349 5477\n7311 17223\n17173 19041\n2772 9154\n8998 10348\n2780 19630\n2475 3396\n5078 17151\n15264 15313\n3033 13833\n424 17425\n12491 13360\n7042 10671\n7000 16494\n2970 13131\n12817 15605\n4154 17639\n6484 15428\n4097 19704\n6696 7891\n4723 19067\n10164 14903\n9010 12438\n1685 12979\n16778 17217\n3641 5432\n5064 11754\n1893 19775\n3959 19948\n5735 20056\n14477 14836\n1865 4178\n14891 15642\n14057 15628\n103 19614\n3916 8160\n8931 16156\n3645 11584\n8976 13816\n5387 15295\n8228 9708\n4336 17089\n2163 4091\n5734 8882\n7891 10001\n7198 19887\n13406 18064\n233 12300\n8353 13253\n965 15444\n10176 10670\n18748 20021\n582 11340\n2094 7215\n9338 11195\n2420 4747\n1390 9437\n819 3365\n5012 5422\n7042 8486\n14480 18023\n7282 15682\n5690 17601\n4321 6998\n143 2538\n2789 3320\n3094 19206\n8927 20010\n4976 5813\n9065 16020\n8095 18536\n5846 13415\n2537 2826\n6904 12431\n14960 17730\n6721 13840\n8349 16394\n10055 19372\n14046 17554\n18567 19593\n13937 16468\n3947 17892\n1269 2916\n3025 9509\n13913 17181\n11680 17147\n3191 10312\n3781 17944\n6105 15599\n7902 15068\n8479 11859\n1027 6945\n9092 9860\n6101 11213\n1161 10105\n1372 7735\n15019 18515\n8629 14434\n851 12082\n13221 18191\n6268 12666\n10982 15558\n6865 11470\n377 17404\n8148 8506\n11422 17344\n3978 16774\n2980 13887\n7777 11964\n10354 17259\n7263 17244\n4133 16789\n14990 18676\n4049 9296\n3333 7877\n7142 15641\n7737 11322\n7620 11957\n7454 18786\n1947 16674\n6528 16611\n9692 16596\n8466 14027\n7681 15747\n13123 15105\n14346 20031\n6713 17609\n7088 17691\n4772 5498\n6850 7252\n3950 9564\n4736 15073\n18624 18635\n10238 10654\n362 2228\n4813 7410\n2326 4347\n8667 15198\n2290 7948\n7352 12906\n7446 12762\n9512 18467\n14557 18530\n5426 17973\n4570 7649\n2007 13062\n2678 17442\n6126 8641\n10366 17790\n2977 7867\n4298 11565\n16391 18492\n4404 15033\n2615 5673\n6544 18624\n8577 16130\n11274 19509\n9 2158\n8035 13743\n5828 16815\n3335 9781\n1374 8751\n10247 12667\n4860 13167\n9991 11064\n14621 16616\n5136 15890\n6280 19104\n911 11250\n11495 19927\n3610 13811\n15680 17135\n12360 15639\n9149 17827\n5818 17262\n5446 6462\n9212 19607\n4232 8374\n8551 9598\n7059 12878\n12967 19231\n13636 19895\n9713 19559\n6062 8488\n16798 18434\n4886 9469\n208 3118\n2475 3770\n11167 16758\n14899 17178\n5158 7264\n6703 12344\n11336 13130\n11777 13806\n2134 6507\n4169 19135\n17592 19370\n1152 10839\n3445 18901\n11679 17320\n1076 2665\n1225 2077\n14203 16882\n4825 7609\n14413 18558\n7528 9385\n9109 19769\n226 8532\n752 1404\n10607 17864\n2515 5961\n226 16020\n1386 2139\n16335 18918\n7994 14839\n6766 15558\n14573 17494\n7333 18790\n13685 19159\n5286 13906\n9202 14139\n16428 19617\n4343 7254\n9057 13867\n3278 10984\n4668 11772\n1661 5984\n4654 16126\n5644 17959\n4271 16494\n1614 9382\n2536 17346\n19009 19848\n3367 19316\n7545 18126\n3867 6214\n6974 10217\n4518 6843\n32 1982\n10589 14753\n1292 1574\n3321 10636\n11563 16215\n198 17514\n321 15808\n6702 17720\n10059 15567\n6752 8488\n3182 11199\n6329 19448\n3102 15607\n2255 18978\n405 13905\n3944 7869\n3781 8877\n14055 17713\n6764 15629\n1930 11676\n7405 11977\n13606 16804\n885 2648\n12339 13024\n3489 14046\n4694 19249\n770 1031\n12400 20065\n8438 10963\n10603 14035\n3339 7429\n4534 12831\n1332 10343\n12619 16459\n17292 17972\n403 3248\n11377 16796\n8151 19849\n617 9898\n8997 13739\n170 2795\n11359 12428\n1393 9916\n5731 14489\n3397 20003\n6805 14511\n10713 14312\n795 18846\n11081 17040\n4498 17441\n9264 19919\n560 7929\n1747 9682\n42 2805\n17723 18954\n12526 13634\n390 5695\n892 16007\n11307 12199\n7951 15610\n4058 9551\n3942 12337\n1996 10373\n7911 18117\n11706 15283\n2299 18015\n12617 17080\n5100 6215\n3287 12251\n13759 19519\n9370 13996\n2184 18491\n7642 7876\n14857 18759\n12875 17964\n5594 11551\n8129 10326\n6319 9184\n433 8307\n3164 10124\n1852 18609\n5105 18619\n687 5669\n11846 16944\n7984 13836\n17608 17778\n2229 19852\n4248 13340\n8596 14283\n11867 19774\n1001 16094\n1260 5241\n19342 20094\n1377 10315\n10934 19373\n3059 12641\n4856 6782\n12415 13946\n1937 18284\n5581 7137\n15967 19059\n4642 18384\n17084 17325\n425 2701\n1383 11725\n2219 16904\n656 10589\n7206 11721\n3479 16578\n13394 15490\n5175 13772\n9754 20227\n2583 15446\n6527 7044\n956 6274\n2274 8239\n3153 5269\n1708 9134\n13113 15629\n2970 9866\n187 2817\n1597 5964\n7924 17789\n11709 19537\n10458 18122\n16319 18123\n4416 16449\n17618 19594\n5789 12630\n15466 15896\n7975 11382\n424 7166\n6146 8673\n10834 19732\n646 11092\n7772 10781\n15529 17579\n4778 18715\n2318 4143\n7305 10490\n10561 10588\n1498 6282\n13587 15387\n3741 18796\n6215 7623\n2515 13733\n18670 19516\n10176 13097\n10933 18038\n5239 13418\n10618 15025\n560 5425\n20026 20116\n1380 3787\n5045 8292\n8599 13563\n4887 12329\n1999 12029\n15116 15308\n9164 11958\n4346 18157\n4513 9095\n6223 12372\n8482 14967\n5011 14415\n1254 4596\n166 3066\n2040 14451\n14 8448\n2623 9771\n9117 15120\n14113 15929\n4374 10324\n2763 13764\n5402 13891\n3009 13733\n8054 10223\n8171 16366\n438 9359\n4152 10046\n12906 17714\n517 4135\n16001 16451\n2446 17206\n5581 7782\n13615 16634\n14093 18010\n8438 13449\n6133 8653\n9473 12972\n6432 13063\n12585 18881\n13006 13044\n3170 8932\n8676 14157\n8686 11800\n541 2952\n10818 17939\n2969 6361\n8376 10021\n8722 9350\n9175 12337\n4168 16402\n1751 6107\n1656 9003\n4348 13238\n479 6608\n12481 18878\n4608 7032\n12489 19933\n2573 9702\n16680 18214\n4250 4590\n8743 19442\n1422 20190\n17642 19090\n530 2132\n3583 20062\n8799 10856\n2336 16537\n6359 13844\n4619 18250\n17286 17578\n6797 7514\n8390 16903\n11866 15225\n5015 9743\n493 6200\n10641 17090\n8293 15467\n2623 8322\n7448 8369\n9327 19677\n4336 11816\n10849 17339\n8565 11336\n10832 12038\n14017 17401\n1432 8506\n6035 17394\n248 18989\n9864 14577\n101 6585\n1263 15635\n6321 8306\n4901 18103\n1180 15120\n5495 5893\n15364 17737\n8946 18087\n7772 14098\n2049 10505\n16166 18367\n708 15308\n1955 8730\n17151 19678\n4251 13857\n3487 6836\n4661 16161\n7213 19615\n1603 11419\n16055 18596\n17541 20000\n358 16268\n14234 16998\n8099 16638\n15021 19967\n3921 5098\n3928 9525\n10053 17494\n6546 17748\n1270 19398\n4244 9495\n8970 17122\n30 10036\n478 16890\n8719 17073\n1881 9608\n12073 13649\n6737 13517\n3809 4351\n1879 16257\n8652 12310\n1308 19849\n6186 10829\n6086 19875\n11516 11704\n3959 16731\n7303 17010\n870 19331\n6493 17621\n13622 19129\n9916 13394\n1793 2799\n6213 17347\n13574 19431\n3892 18350\n268 443\n4209 19418\n129 4351\n13294 20007\n7191 16264\n3662 18169\n8586 17463\n8271 8507\n18029 18187\n7216 16370\n1130 13958\n4778 7947\n632 8648\n236 16725\n10147 17402\n3517 10627\n11649 15537\n957 14639\n11724 15807\n6285 11871\n8993 15178\n3650 15873\n5047 12893\n3639 15092\n3034 16497\n9674 10646\n3349 3639\n4759 11390\n2041 15011\n5799 18860\n1577 8800\n2118 8323\n12734 12981\n3502 8811\n14663 16384\n8988 12198\n12114 19283\n1904 16736\n13547 16140\n903 4157\n1407 2417\n9046 10044\n2578 13898\n7063 9868\n11325 11424\n1431 13633\n5536 12146\n8640 18041\n12116 12386\n3473 19840\n6895 15936\n436 10952\n2083 17380\n10849 14015\n6158 11808\n10673 14177\n14654 17739\n2621 13478\n9892 12731\n5548 19570\n2319 12978\n1583 10738\n12693 16536\n7877 16325\n6636 10003\n16583 19411\n2610 7901\n9927 12318\n3967 14539\n2601 15815\n9769 14387\n10052 17868\n11479 14611\n12358 15694\n1929 9746\n4890 5292\n2027 6097\n3043 13028\n3640 6203\n5550 18795\n13812 18584\n3033 16006\n5883 9764\n3458 15701\n7749 9414\n4435 11994\n2925 14680\n3990 11256\n6484 7606\n3967 16314\n7638 16539\n10229 19012\n4009 16586\n1816 6369\n3462 16912\n7208 8534\n899 17999\n2997 14905\n10077 14776\n4841 13797\n5669 17988\n1953 15635\n9641 16578\n4443 9684\n1431 2885\n6523 10640\n6922 12960\n6125 11792\n10791 18667\n3072 6037\n8307 10031\n8798 13158\n11312 18604\n16711 18685\n11850 18665\n7227 17759\n5803 19643\n2312 17001\n1089 19870\n9564 15301\n6244 18660\n4 15453\n11282 17413\n2182 14762\n121 11951\n551 20024\n10337 11995\n2026 19978\n9829 14109\n9942 18210\n4826 15791\n9679 18586\n10164 15715\n11616 12486\n7981 19681\n5654 13157\n1467 20057\n6125 7823\n753 17719\n14001 15432\n5378 16796\n8621 13307\n859 13068\n2996 7727\n5851 9303\n4260 5508\n8675 14088\n6543 17972\n8037 10388\n3395 7038\n10671 12532\n13285 17608\n5951 9396\n65 11220\n576 12840\n11249 13422\n3919 11523\n11760 15905\n7394 12167\n1785 4334\n2261 7126\n1153 2555\n3859 8483\n5562 19665\n5954 11770\n1324 16989\n3414 16692\n8252 19290\n9008 10344\n2922 5189\n4093 9490\n7931 15972\n1241 7182\n184 5276\n5797 9435\n3862 12846\n6715 15186\n4398 11830\n7748 13026\n1408 1900\n5619 16197\n1709 8119\n15054 15251\n9011 10179\n610 12046\n13589 15964\n16616 18222\n692 3494\n6588 12272\n2332 16115\n9886 16522\n8329 11559\n9208 17098\n10986 11885\n10120 16885\n9186 17937\n1368 8081\n5700 14272\n13619 16816\n4555 4918\n2624 15952\n4295 10894\n8932 15580\n3115 5475\n3920 10971\n9649 13351\n7749 19232\n19789 19933\n5451 10220\n4238 11394\n14152 17003\n1961 17874\n2552 19215\n1124 13909\n5853 8302\n3553 7163\n11705 17898\n17671 19963\n7356 14758\n301 2965\n1468 10686\n5978 17506\n2915 7318\n5697 16173\n4146 17087\n2822 15298\n3542 11214\n1921 11691\n2587 15819\n6686 9974\n9286 12488\n18779 20208\n13044 15620\n19349 19556\n14972 16325\n3883 12513\n2259 13059\n4737 11206\n1543 6134\n7594 11138\n5824 9595\n5291 13622\n2624 13189\n7964 7967\n14461 14532\n474 4319\n5694 7638\n247 11729\n8389 8618\n8863 14341\n5160 5966\n13699 16704\n3487 9857\n4430 11123\n3863 16939\n6054 9710\n3059 16354\n12990 14030\n2044 11140\n910 12281\n14647 18991\n10339 15475\n14759 15206\n1658 9853\n9100 17773\n5090 10800\n7885 8915\n8678 16965\n4304 13863\n7474 9116\n5889 10942\n531 8368\n10166 14976\n13277 17719\n7211 11875\n4337 5480\n2221 4934\n10061 12771\n1547 19444\n1173 9250\n6395 16323\n10767 17747\n1946 14200\n8919 12018\n186 12927\n4601 15248\n13920 18107\n985 15058\n12402 15761\n6835 16771\n4037 14432\n11979 18559\n7507 16566\n8 7223\n11867 13823\n11821 18179\n9065 12630\n9111 13909\n11885 15167\n2212 9452\n13375 18626\n2379 4673\n5244 8637\n5205 11493\n7352 7630\n7941 14811\n1407 9483\n8918 16602\n731 10502\n15551 16289\n426 6690\n985 4505\n5249 20260\n479 2842\n9661 13944\n389 9621\n10899 12516\n6924 11736\n7033 16425\n7023 12943\n5668 15448\n12587 17534\n992 10792\n9385 19028\n797 4507\n8450 12490\n11099 19631\n8427 9019\n12855 17483\n13379 19503\n4694 9198\n99 16115\n13376 16689\n6766 8407\n12351 13111\n7986 10038\n9127 13857\n4892 14580\n5435 5503\n9172 20193\n516 6202\n8382 8586\n11854 19387\n6126 15548\n1760 19862\n3280 5780\n2622 5978\n9249 11666\n2607 7991\n3277 9437\n8485 12291\n4878 12846\n9620 13642\n7229 18254\n6818 19462\n7534 18378\n1818 4114\n7423 20189\n3837 13152\n13479 16270\n9746 18221\n18795 20069\n4095 19658\n1294 11499\n15943 16818\n14258 14989\n198 5473\n10355 18630\n975 4149\n2617 12607\n5570 13038\n4098 15679\n15737 16884\n8988 14851\n13581 17803\n8552 15624\n8287 13553\n15033 18957\n3931 17877\n3854 16726\n1678 2093\n860 18060\n375 4825\n9801 16979\n966 3867\n1458 19469\n12551 18148\n17474 18609\n7090 7124\n2876 4706\n460 16929\n4681 16894\n7707 9542\n7312 14135\n12860 15139\n3126 14370\n9281 18518\n11296 17413\n10281 13954\n7423 19735\n7688 8613\n3114 13088\n9380 14416\n2934 12573\n8173 18508\n16010 16434\n10655 19914\n7454 14920\n9485 14502\n12892 13324\n920 17856\n9715 14947\n2000 13852\n2381 20122\n13998 16538\n291 4139\n6979 18081\n5762 16634\n10893 17275\n11612 19359\n1660 17452\n11301 16725\n10939 15570\n5947 12866\n1931 15850\n950 8021\n2857 4073\n2379 11028\n8525 10500\n1278 2308\n16190 19611\n2721 8033\n4005 6741\n3412 15124\n8515 14236\n9152 15022\n8575 16015\n1075 8869\n12119 19685\n402 10902\n9459 13337\n1740 3803\n16247 18777\n7833 18747\n12014 14305\n6355 12450\n6268 7731\n8362 11405\n2329 10567\n12053 19590\n3585 7423\n3531 4704\n875 20110\n5847 7081\n17599 18169\n12109 16073\n274 1184\n3305 3857\n4482 18895\n9152 9287\n13126 14907\n490 9678\n3304 6949\n14463 19938\n3913 15517\n3539 12383\n7814 13209\n6343 8842\n8045 12609\n4051 6702\n2390 5627\n4172 7037\n3188 9623\n10327 19357\n13830 18071\n873 18212\n14879 17152\n4241 19723\n2983 10687\n3118 9375\n9452 9802\n16768 17225\n16836 18371\n9253 12197\n7563 19371\n4766 6054\n12149 14978\n10127 17525\n6572 8879\n14748 17643\n8078 11551\n18458 19270\n7403 15151\n7392 16391\n15314 19112\n3418 13294\n3880 9105\n4179 8675\n136 1926\n3630 12115\n2855 17263\n17807 18127\n181 7288\n9449 12198\n14681 19384\n1488 13254\n3444 11925\n8070 14638\n13095 13998\n17249 20173\n1594 18043\n4738 5689\n2170 16448\n17553 20142\n484 11234\n795 19975\n18439 20203\n6172 7104\n14811 17696\n7699 16438\n4211 13695\n3554 11725\n4192 13856\n5762 10070\n11853 13646\n9615 12215\n6539 16885\n10961 16661\n7708 10287\n5168 10184\n12638 16783\n6357 9032\n17675 18530\n6411 9809\n17917 17926\n972 15732\n2486 12238\n2234 2875\n1749 16879\n7435 13482\n19331 20065\n11456 15695\n301 12986\n1818 11202\n7729 15478\n3961 20238\n9150 17904\n2385 18535\n1285 20267\n4252 17219\n2519 15687\n12998 13184\n5742 6290\n14206 14627\n3695 17487\n13820 17160\n13030 16799\n11937 14483\n13188 17753\n4848 18495\n10136 19807\n16226 19233\n13758 16381\n5616 11832\n11397 16166\n120 18041\n5827 6636\n895 15674\n12602 16796\n7158 10163\n3382 15354\n1821 7537\n14549 16450\n12672 19676\n9426 17336\n319 6805\n5573 17767\n6913 14463\n12490 16879\n1715 12663\n7139 19040\n12179 18571\n12580 19964\n5738 12495\n2330 18447\n12621 19053\n10127 14826\n3476 9877\n1796 17736\n4950 18623\n331 15652\n993 9497\n3042 10688\n1845 13386\n17323 17730\n8850 8929\n13495 17081\n3383 10901\n12419 19659\n5309 14140\n5225 9730\n7662 15983\n16523 17124\n1753 13527\n7241 15017\n5145 14332\n7249 7797\n5929 16256\n8985 16173\n11606 16101\n2652 14290\n3305 3640\n2017 13397\n6352 16449\n3695 12679\n10658 15607\n5488 8111\n3489 11219\n12741 19086\n11312 12792\n2987 7780\n4613 10436\n5317 17640\n2219 12266\n2727 6776\n2070 16725\n7160 20228\n13313 16149\n3663 8879\n8372 10072\n3386 15802\n7123 15620\n7378 9560\n5066 16336\n17787 19445\n4433 16102\n6131 20053\n387 11914\n6294 15292\n4460 17529\n3892 7942\n754 6551\n3370 7718\n7315 10910\n11092 16241\n12818 13503\n9014 10439\n4748 6083\n2682 3285\n3900 14020\n15372 17390\n6943 19328\n2776 10955\n3258 16461\n5202 5644\n13787 17308\n11355 16211\n420 16548\n13765 15514\n2024 19782\n11124 16012\n4599 11748\n3689 19952\n1837 3521\n6060 16369\n613 10995\n7885 8213\n4287 12806\n3716 17798\n4233 16011\n1603 10482\n5035 5274\n17715 18183\n3454 14364\n4388 18041\n3584 12369\n12871 13592\n1015 15099\n7385 7868\n934 19147\n3339 6870\n1069 13668\n695 5595\n9460 12832\n935 13451\n2268 14152\n11460 15315\n18373 19270\n1605 17842\n12321 17506\n4284 13608\n10676 20064\n3474 10637\n5380 13415\n17964 18947\n4953 6767\n9625 10460\n912 10218\n8298 15905\n6123 10999\n13949 19765\n3172 19724\n11943 12167\n6970 18331\n7474 7892\n7349 9759\n4428 18330\n4411 14635\n173 11009\n5833 17669\n7452 20032\n7122 10154\n8866 16647\n1079 5094\n14715 17600\n10238 19316\n18599 19873\n9898 12197\n8119 11500\n10672 19014\n3468 20138\n5690 9847\n4887 14137\n4284 8822\n2603 9618\n679 15961\n503 3703\n883 10618\n1328 4324\n12669 18540\n701 9243\n4697 15278\n17608 19068\n783 13959\n397 14303\n13121 16558\n838 4051\n12353 17146\n4015 14637\n4864 16162\n2658 12869\n6262 7232\n11341 15240\n6180 15418\n885 10501\n3841 19009\n11079 15223\n6035 18373\n1311 5260\n6997 12500\n1837 11190\n1604 12077\n583 4761\n12801 15388\n8092 19620\n12180 14809\n414 19949\n2132 18126\n3821 15409\n2809 11230\n5594 15388\n13074 14220\n17566 18343\n3287 18391\n7376 19284\n505 7313\n429 1616\n13986 19433\n3513 13987\n3336 8700\n3746 5053\n4148 13981\n11579 16464\n10142 17784\n11186 12822\n4539 5883\n6960 10891\n4101 7639\n11 6046\n8214 10357\n8218 15559\n18056 19209\n3177 17744\n265 13732\n4475 13081\n10222 12846\n6794 16952\n10688 16996\n16245 16747\n2744 7640\n3763 17609\n9253 13829\n265 18705\n14704 16351\n1110 13607\n1337 11346\n6132 15493\n11633 13110\n9158 13827\n476 9278\n2744 6813\n13066 14280\n10471 11286\n2894 18346\n10553 16165\n812 6259\n5229 14478\n7489 17586\n13154 17809\n16399 18003\n15958 16797\n7756 11371\n887 7212\n7233 17398\n6158 18874\n766 15379\n13549 19065\n7595 11084\n4425 18187\n11702 14867\n18724 18885\n12504 18495\n8252 8730\n14476 15877\n9926 13943\n8042 19070\n500 13957\n4790 6103\n3499 8772\n2753 8766\n6567 15482\n6893 15995\n15068 17743\n3218 4717\n2788 10367\n4703 7779\n5275 8457\n3036 18637\n8249 18971\n8813 10887\n346 15411\n11978 12854\n7850 14063\n13698 17852\n7753 20193\n311 1576\n533 17819\n2344 3819\n10987 17369\n10675 18559\n5861 17247\n1337 13199\n1306 4085\n3551 13207\n19462 19651\n163 15483\n4653 8153\n802 13020\n17336 20266\n5588 9939\n4313 5023\n16417 20226\n6799 19018\n2786 7799\n8308 14959\n470 6807\n1557 9279\n1605 19755\n1294 16223\n7310 7380\n1092 8432\n16321 17106\n7006 10760\n8892 9516\n7692 13086\n4764 15206\n8604 9908\n9189 16365\n8949 18484\n1347 18121\n14838 19238\n6977 13746\n5418 7481\n6921 18863\n3659 14665\n12354 15217\n3494 14340\n4944 11440\n198 2569\n8262 14471\n9190 15781\n132 19301\n14546 15970\n3611 5383\n11957 20218\n7282 15382\n7197 19014\n87 2387\n2507 8298\n11338 12775\n15368 18347\n1255 17184\n3902 6353\n6385 18050\n13975 19642\n10677 17806\n1705 10541\n1727 19095\n6029 15678\n5813 5912\n2113 6938\n7809 18183\n2727 13342\n8997 13601\n7131 16347\n300 3859\n8353 18961\n8677 12110\n8070 18598\n3220 14104\n861 15411\n9480 17309\n3135 6618\n14031 16664\n6230 15393\n6449 9056\n17875 19024\n13133 13264\n15136 15960\n3687 16663\n4425 19495\n11353 18274\n4300 20032\n9159 19726\n3804 10378\n4616 4697\n6689 10929\n7008 18149\n6564 9312\n16292 17459\n364 19373\n1968 17391\n5721 18838\n978 11522\n11878 16890\n7683 8859\n6598 7326\n862 11563\n310 18606\n7552 7941\n2616 3194\n9429 18717\n6995 15339\n301 20136\n7774 15330\n8435 14773\n6062 6818\n8227 16341\n6486 14525\n12738 13148\n195 8926\n13155 17917\n2765 14039\n1205 4871\n13574 15686\n14873 17706\n3486 10159\n8976 12419\n466 13828\n5055 16067\n5022 19724\n3330 11412\n4220 13705\n259 7549\n8700 12165\n5657 19216\n14839 18171\n2221 19691\n561 12514\n13759 16078\n6441 15647\n2225 2998\n267 3528\n8411 8911\n6961 12579\n2283 15146\n12611 13945\n676 12666\n7985 15889\n9262 12669\n9734 10934\n15276 16958\n12510 12952\n2282 17434\n3512 18410\n1117 17266\n3639 16782\n10868 13433\n15530 19725\n1074 5907\n4545 6438\n4195 18856\n13211 20186\n2392 10167\n9884 10877\n3029 15810\n8872 19630\n1183 19460\n2328 7385\n2268 18384\n1726 16098\n12340 20113\n1709 12806\n7352 17526\n5214 9245\n4599 14044\n12983 13273\n1654 18801\n2867 9612\n8774 17511\n14832 16956\n7112 19979\n3697 13739\n11358 18926\n17571 17600\n5170 14751\n5258 13258\n3348 7347\n3692 9495\n16223 17432\n2114 9163\n13145 14410\n2314 3700\n10417 13422\n5259 10971\n14825 17047\n16667 18792\n12477 19148\n1818 20262\n318 6370\n3830 7147\n1708 14976\n18825 19636\n6176 17513\n5915 11917\n1056 9343\n3739 13684\n1842 9422\n4074 9767\n6714 14881\n6084 11663\n11365 13001\n2554 16364\n3191 4659\n6889 15531\n18951 19463\n9612 16239\n4011 15300\n6151 14946\n4835 7438\n944 12270\n11283 12786\n957 2983\n5270 7660\n572 15198\n1850 17757\n7882 15280\n1850 12719\n3960 4000\n12769 13171\n3931 9623\n6930 15043\n5530 9398\n8607 19634\n3429 17854\n1992 16788\n1747 13729\n5224 15864\n6997 18057\n6707 16699\n3063 9345\n15135 15608\n12139 16733\n5951 12724\n11291 18468\n59 16431\n4912 19244\n15383 17856\n7002 13810\n11421 15266\n3975 11419\n1519 7305\n8552 12071\n5545 18361\n5820 16114\n9963 15623\n1082 19281\n11245 14758\n745 857\n8592 14259\n14266 17193\n369 17305\n15326 19978\n15774 18212\n9873 19018\n7946 12058\n13614 18540\n3822 9253\n532 13184\n3962 18191\n4612 13574\n2972 18006\n18752 19441\n9772 13651\n10896 18164\n2027 10138\n1631 8457\n9861 13097\n4453 15650\n9257 9971\n847 10858\n1603 13168\n15798 16798\n12509 16078\n1393 8007\n12937 15111\n1948 9452\n567 10240\n4170 12821\n3835 10795\n8803 19669\n18320 19051\n7673 12733\n1552 17427\n4370 15899\n4257 4707\n15240 16844\n15233 16694\n4168 16379\n17980 18282\n3359 9909\n187 10533\n8185 10333\n3724 13840\n5385 9648\n1793 14518\n7148 10642\n8173 19467\n6729 17918\n9495 10472\n4120 7555\n11 3025\n8662 13746\n2424 14967\n2501 3106\n17468 18138\n4525 13107\n511 6207\n10527 14155\n8678 17786\n4277 8155\n10591 17835\n4422 17142\n466 4764\n14086 19272\n5377 6156\n4440 7141\n582 16989\n6399 10111\n2813 12005\n1979 13523\n10758 14994\n4147 19322\n2569 16018\n1356 11106\n3842 10949\n9640 16208\n1385 7713\n2291 3135\n15666 16864\n9432 20174\n1925 12640\n1419 5884\n8191 10253\n4126 10508\n133 16005\n5172 9024\n10721 14889\n13687 15501\n629 9993\n11869 17053\n952 4961\n2785 8229\n9947 11627\n8152 16004\n1483 14573\n770 3119\n4600 13168\n1292 8416\n15103 15758\n6061 19574\n2741 4602\n1618 19894\n14695 19351\n16928 18862\n11016 12124\n12213 20267\n9181 17349\n762 16815\n9257 18514\n7219 12938\n1234 3312\n1340 10692\n4759 17742\n9503 15159\n699 18504\n15513 18314\n8248 9003\n7518 16195\n28 7474\n13885 16191\n7879 9988\n123 4576\n7709 19682\n2424 12820\n15062 18409\n6770 8671\n11755 18546\n3630 9140\n15236 16700\n9444 9967\n437 19085\n6760 7962\n9537 17211\n3551 9804\n3040 8289\n7806 18885\n4848 7700\n7496 15046\n12987 17313\n6207 15269\n4773 16548\n1633 11173\n1566 15558\n10878 15187\n5765 5877\n4534 17953\n13519 14598\n2935 19634\n12006 15065\n12913 18530\n2957 8068\n14410 16874\n8002 15467\n1139 18424\n9248 14175\n3464 15278\n5975 16483\n3513 8028\n19416 19744\n1160 13978\n1352 11719\n13834 17946\n6698 11288\n5072 15388\n6073 16806\n6885 8452\n14005 18107\n7033 7368\n6096 18082\n8876 10248\n3354 15526\n11584 15712\n2314 14081\n3593 12286\n7173 11237\n7014 10748\n8822 18990\n4525 17199\n6003 15188\n5562 12449\n1769 5849\n11792 13739\n5054 19557\n9466 10630\n575 11936\n6259 8743\n4080 12803\n1904 5656\n11497 20269\n818 18818\n720 4894\n6992 15129\n8975 11467\n4577 14082\n3697 18566\n8478 16761\n4892 18626\n6867 17532\n7328 12970\n3216 7835\n4988 7990\n16139 18040\n5672 11058\n2985 5033\n12477 20032\n587 16567\n1137 10207\n6149 14401\n8144 13686\n4766 12943\n5579 12283\n5766 9191\n4842 6633\n2012 3292\n4891 10705\n614 10002\n4869 14539\n9264 12671\n7024 14199\n9076 17006\n6836 11385\n11196 12922\n1505 18552\n5399 11989\n12494 18656\n1503 11095\n3108 10797\n5474 17792\n2261 10209\n1459 6037\n1601 15772\n7462 15267\n7538 19153\n2453 6655\n10360 18157\n5658 11061\n12092 13592\n13489 18826\n6500 19564\n13944 18264\n9694 12823\n11988 19648\n6727 17637\n1552 3887\n3087 19823\n2754 17600\n4669 14785\n5729 6965\n4033 8794\n2124 19264\n7597 11994\n1503 13126\n4706 15159\n3143 12028\n4280 18023\n13152 19002\n6121 15011\n447 1805\n11418 18290\n5927 11411\n8363 19266\n7387 16915\n6501 14925\n8481 9797\n11642 18256\n4663 10751\n6622 9736\n9316 18889\n14059 19281\n1687 8005\n178 13469\n7190 10965\n8963 14770\n1627 13050\n6531 14389\n9166 11340\n11719 12001\n3421 19128\n5532 14787\n210 13387\n8584 10692\n9618 11869\n15440 16918\n16233 16669\n9650 12406\n7681 10991\n13082 13722\n14698 18634\n1519 14344\n2388 20287\n2301 11795\n13214 18830\n1230 8078\n9965 10001\n1661 7710\n2161 10584\n2213 17693\n1362 20205\n13822 16194\n1389 19752\n3043 16178\n12639 19999\n5602 18725\n2613 13343\n14666 16100\n7859 17553\n202 12185\n12256 12498\n2424 11537\n3686 19666\n7479 8541\n8722 9634\n5485 14452\n11758 18198\n15677 16602\n6886 7256\n7033 8750\n5621 6580\n2313 17904\n1080 1434\n6724 19011\n7838 8240\n11424 18273\n6176 15738\n11728 15975\n14907 18655\n3293 4369\n2004 5411\n16491 20019\n5793 14933\n6300 6747\n13098 17195\n3651 18358\n660 8003\n3607 9202\n41 3789\n3039 6383\n2265 13094\n3578 8330\n18806 19088\n14401 18088\n2348 7490\n620 4955\n531 4545\n6594 12924\n3282 7234\n6368 8426\n1874 8298\n78 7951\n5202 17768\n2904 4766\n7557 9623\n7538 17516\n4685 10203\n2179 14967\n1096 3601\n6023 19727\n16520 20213\n1181 6547\n7018 7450\n7136 18664\n10839 20201\n964 4272\n7178 19798\n3626 6159\n1366 3427\n14314 15583\n3225 5037\n9660 17012\n16351 19486\n950 18818\n4223 11399\n793 5052\n16302 20040\n7630 11293\n7271 18435\n10518 11193\n8284 9220\n4309 10315\n6720 8089\n2586 4676\n9295 15438\n4230 7974\n9691 19327\n5298 7743\n9952 16834\n10870 15835\n17095 17798\n3772 12898\n17229 19319\n19439 20278\n2673 7005\n14144 18217\n246 4554\n16737 19557\n7708 12138\n2843 18156\n5622 15226\n5733 8151\n14637 19332\n10452 17970\n4844 18812\n15637 18960\n5219 8981\n420 18509\n2211 18436\n7803 19540\n3312 16803\n5125 20244\n1788 6252\n13601 14506\n6218 18231\n3768 4322\n8082 17293\n12911 14724\n5913 11176\n1369 2865\n9559 15325\n2273 16418\n3144 5417\n12789 14424\n8907 18733\n8573 13715\n6967 9144\n5888 11372\n9304 20243\n9705 20176\n735 18486\n4892 9359\n6737 18053\n5249 7509\n14151 17505\n6695 8431\n4005 18316\n15215 17924\n4542 14640\n1140 7231\n777 16787\n18726 19570\n17383 18124\n6982 15031\n623 12785\n3408 20072\n7549 10037\n7594 15330\n8370 19155\n6321 8988\n5152 13012\n9057 16005\n5902 12079\n7505 16578\n1346 10523\n10665 12827\n3350 10736\n8606 15120\n6797 9228\n5915 12264\n1684 17498\n1147 19473\n10089 19841\n13154 17883\n7867 13553\n5914 15364\n3602 12911\n12338 17459\n6263 12274\n12829 12913\n5481 9835\n12824 15615\n1251 5474\n4473 16195\n10092 18272\n7109 10575\n13676 16465\n7667 18204\n6043 7872\n11590 20102\n3672 16580\n1094 18391\n3642 16628\n16206 16942\n1255 15196\n5873 6713\n14806 18648\n1631 11101\n6381 10559\n1424 11991\n745 9826\n7384 9099\n12424 20101\n6127 20156\n904 15731\n13470 19405\n16768 17865\n7759 13828\n7585 13307\n506 13273\n7758 16418\n656 16073\n5319 19375\n2207 16690\n11386 13702\n6559 16064\n1229 1364\n5550 18726\n3612 19249\n1717 5711\n11824 15065\n1725 10872\n2921 14379\n4419 12943\n9161 16807\n10412 19555\n16887 19707\n4017 12316\n9279 11290\n3802 5261\n2351 3316\n775 14809\n2314 2869\n7253 12535\n6132 13051\n5244 10188\n12567 16179\n11103 16817\n5140 15677\n4857 12013\n8769 14710\n1669 12177\n12666 13382\n3775 19189\n11200 15816\n6946 18184\n8113 15800\n15635 18568\n5697 8004\n13086 17422\n11132 17719\n11541 18441\n11995 15727\n8964 18068\n10265 15407\n6076 8714\n6011 12692\n1300 12742\n2785 16081\n905 3033\n377 3044\n9682 12826\n2909 18804\n10158 12499\n1483 9253\n7603 15101\n2412 10943\n17207 18478\n14579 16242\n3194 19350\n18089 18650\n9497 9704\n1453 19013\n18409 18635\n1194 10639\n11671 11833\n623 5762\n193 14843\n4470 14301\n2193 6568\n15726 20201\n4179 15460\n9452 19688\n1080 4200\n5376 9121\n2211 19792\n3222 7279\n9947 12734\n40 13395\n4211 11760\n3599 8203\n1615 5366\n8701 18589\n11744 15076\n6515 6696\n403 9552\n4710 13213\n8286 11857\n5050 15011\n4204 11551\n2947 4306\n5904 6592\n4537 15382\n5396 7522\n8517 13223\n14085 14290\n11059 18314\n4789 15016\n18352 19414\n7143 10855\n4756 9380\n255 9756\n6017 12443\n6794 11763\n4270 15255\n7190 19641\n6497 9269\n681 9047\n5438 18673\n2004 3266\n3787 10059\n9187 14119\n13445 18830\n4864 14183\n13324 16053\n7708 14097\n4971 6077\n9090 12803\n11927 19240\n6956 16002\n1463 13915\n156 9618\n12388 18478\n4818 13912\n3869 15942\n8994 11635\n3260 14559\n9127 12981\n4456 19864\n17804 19374\n7556 11105\n8811 16743\n10752 16085\n8100 16493\n3866 20041\n14194 16768\n8247 11983\n7629 15255\n5097 19473\n13284 19007\n1528 3787\n14582 20133\n13608 15619\n7761 13071\n3738 13808\n6578 10799\n1381 7947\n15613 19870\n11250 14954\n6511 15594\n7347 12624\n3597 9652\n9733 18903\n3502 19046\n15287 18693\n12026 13729\n1963 14825\n18877 20083\n417 8650\n6088 18632\n3480 15349\n5667 14857\n1814 9673\n8801 11505\n9862 12771\n9403 12134\n985 12814\n3054 13000\n4424 7864\n8303 9598\n13605 18039\n6430 17612\n568 3054\n9974 19579\n3183 5342\n7698 18836\n2006 9131\n5499 11163\n11784 12494\n5054 5638\n4346 13052\n11031 13721\n4323 7467\n3760 6387\n1364 17886\n3835 14024\n10916 18542\n13223 16100\n6729 15266\n1582 2994\n5860 6628\n440 3913\n12050 18029\n391 16518\n3669 7298\n3961 9376\n100 6676\n12821 15138\n17730 18979\n3472 19602\n7429 12769\n11044 17513\n1480 7413\n11809 17965\n2493 3124\n11092 13696\n1028 1260\n3852 8347\n4946 18163\n3287 19662\n2032 6440\n729 12707\n14033 19092\n7400 9150\n9883 12356\n5176 11555\n16753 17489\n11509 20184\n6690 9099\n5330 17806\n6115 8372\n5110 6944\n2601 12069\n1396 9831\n1057 2000\n6990 7583\n2080 9804\n8415 18667\n9657 18468\n8503 16568\n1355 18016\n1113 6129\n12257 12466\n294 1004\n4535 17356\n6751 14223\n3333 16001\n3680 16464\n6599 19727\n2976 13765\n10201 18388\n13465 18951\n8864 18951\n11270 16527\n9594 20155\n8593 12959\n1550 2719\n12760 20267\n5911 15907\n5764 20209\n9776 9852\n4620 8377\n7135 12850\n6401 14638\n4335 18176\n11134 18709\n12196 13197\n13363 16142\n14972 19447\n1302 14280\n3929 11692\n5182 15690\n4953 14981\n7089 12510\n3070 9820\n13774 16433\n615 9313\n3710 13133\n6794 16527\n4299 19796\n10856 16672\n433 8386\n13004 17405\n7631 19425\n6992 13152\n6147 7482\n10367 18018\n131 2006\n1960 6900\n10324 17474\n10313 18191\n3095 12412\n2618 16820\n7287 15676\n1888 17815\n393 13975\n5 661\n621 8237\n16209 20006\n866 13327\n7822 17880\n4090 4198\n1619 1769\n3324 6018\n7343 14651\n480 8911\n8400 17761\n7444 16521\n2991 13733\n7126 18683\n2216 15136\n4402 18386\n11152 13402\n1887 13587\n14013 15832\n7904 16791\n12900 19556\n9112 16688\n16401 18164\n15850 16358\n6716 19769\n10588 15175\n11378 14775\n16265 19651\n18371 18940\n2127 5458\n8568 9108\n14207 16710\n7362 17672\n9749 11843\n15288 15438\n1618 15681\n6339 14379\n6088 15070\n8017 9799\n17406 17751\n15451 19508\n3666 4275\n16228 18140\n11125 12089\n15247 18406\n3051 16421\n6158 13074\n5955 9917\n5410 12278\n8461 17033\n1531 17249\n9733 12993\n4101 19135\n16743 20089\n13659 17830\n5818 19896\n3430 7965\n4587 6630\n6827 10599\n14600 15027\n14583 19062\n8036 9896\n6466 18197\n15822 19730\n2500 9251\n4245 19797\n7950 13494\n4564 13636\n1272 8161\n1148 3385\n3693 13724\n4072 16301\n9126 9761\n14190 15499\n11731 18542\n8390 19344\n17283 19352\n5240 17277\n4378 16844\n5717 9844\n4175 20123\n10285 10941\n4622 13282\n4359 11619\n240 19009\n13749 19431\n17248 17477\n3605 8005\n6278 16804\n12408 18830\n905 7844\n9455 19559\n3602 8599\n10281 19972\n7792 10465\n12313 14096\n4666 9536\n16954 18462\n1919 18137\n3435 8738\n8814 19622\n16394 19670\n6 16614\n4659 13788\n10574 16275\n4832 9348\n2241 16573\n3422 10671\n3136 17859\n7963 18048\n10330 11286\n141 9548\n5257 7647\n17744 18791\n355 13293\n10031 20235\n6983 17180\n7594 17923\n1079 6465\n5485 17771\n6254 14436\n4607 8728\n5800 7102\n234 15282\n1993 14969\n7242 8569\n10957 16871\n5534 14170\n6174 11478\n2060 2671\n2581 11260\n1945 3873\n1770 4786\n7059 18394\n19814 20134\n3814 5622\n6624 12808\n5793 10128\n3138 5255\n5682 8217\n706 18140\n4976 8354\n4508 6758\n18126 19769\n13487 16195\n763 9451\n7665 13338\n6939 15158\n15815 16798\n9239 10413\n7273 14551\n12726 13345\n3473 9154\n968 5779\n18329 20067\n10994 15422\n805 3576\n15498 15948\n3755 10828\n9384 14616\n13978 14965\n14993 16654\n1970 5484\n3389 12677\n12443 13821\n11755 18500\n5409 11160\n485 14374\n4732 7906\n7670 13448\n17476 18079\n380 7973\n10175 10905\n7072 12676\n8684 15294\n5060 18961\n2324 13559\n10977 16835\n7759 7770\n5053 5435\n6704 11976\n5110 18294\n5153 9287\n6463 11410\n11184 17759\n12584 12822\n4592 6475\n3353 7143\n602 2304\n10157 17175\n2861 4483\n18321 18322\n7162 13852\n13370 17536\n2098 9597\n9169 20279\n12251 17701\n14484 15739\n6425 14375\n8310 15638\n4023 16057\n2513 5193\n7190 9130\n3834 13019\n16140 17679\n3031 15381\n1310 11735\n18830 19657\n9579 19440\n5520 15136\n7441 12611\n7447 19386\n1998 19082\n68 12007\n12648 14780\n4979 11704\n593 14304\n11471 11863\n855 10028\n11249 13168\n10963 20230\n553 12111\n7024 14517\n9025 19841\n4848 16376\n3849 11663\n13822 16665\n10617 20209\n6061 15676\n5586 16907\n4702 9152\n5321 6596\n2629 12011\n1360 11210\n1660 14811\n15250 19540\n11848 12438\n8948 10932\n8767 15042\n12778 17003\n1869 14484\n16884 17895\n15805 17178\n2458 6835\n922 8822\n4252 4548\n6031 12826\n545 6663\n2678 7769\n8221 11345\n16559 18309\n11353 16316\n7432 9845\n11458 13664\n11337 18682\n15519 20108\n3852 12845\n4674 11324\n30 13415\n3986 7793\n8570 12892\n4258 19987\n2102 18790\n7175 15403\n2125 6353\n6827 9578\n2094 7775\n16095 18140\n168 5434\n6067 14834\n3451 19500\n544 11220\n3233 12495\n1790 11291\n12097 15486\n7193 19016\n8566 12189\n8814 15293\n9728 10104\n3121 10811\n14777 15490\n9420 12183\n4196 18339\n7919 12314\n11232 15656\n9621 14468\n9398 9651\n1379 19968\n2476 3845\n1396 4129\n11324 13161\n30 10704\n16838 17178\n7328 18737\n3952 8407\n2398 12100\n3259 6136\n1192 6585\n6024 6280\n11167 16458\n2180 3687\n6016 11914\n11512 17068\n13103 15490\n14536 16177\n1988 4561\n6202 14444\n7202 16985\n9284 13748\n9488 12676\n7092 14000\n6619 7266\n15015 17697\n14887 18310\n349 13658\n11608 15611\n12046 18647\n12783 14306\n13240 16588\n3538 8611\n8320 10803\n9893 18448\n9075 17178\n3479 4442\n2997 17642\n4395 6823\n2874 19680\n211 10904\n5678 19189\n9043 15352\n5585 19178\n9238 17013\n2020 2325\n1371 17418\n4528 16858\n26 7111\n4420 16137\n14544 14960\n5811 10341\n14309 16446\n453 18829\n2346 15673\n4018 6151\n322 6709\n9801 10921\n549 13593\n458 6171\n6698 17169\n3760 18684\n4500 16822\n1125 8970\n1473 5696\n1862 2831\n12293 19074\n8080 8898\n7348 9696\n800 12366\n4090 11439\n12193 14787\n9928 15325\n3557 9198\n10816 12750\n2929 8588\n7368 20142\n3871 16700\n2799 11831\n8815 9453\n17573 18213\n5717 11255\n7232 14776\n2869 16090\n9885 13445\n3413 19798\n6555 19877\n6204 6479\n1485 8849\n4775 12578\n4906 14212\n8417 13511\n11636 18195\n1206 4711\n2395 10275\n4673 7927\n3951 6014\n12092 16436\n7338 8450\n3990 13950\n11240 14877\n552 14191\n6939 19983\n1436 11233\n3487 16019\n7305 17360\n1669 19830\n6648 16715\n7586 19378\n12099 14306\n10992 14639\n8281 13455\n14867 19980\n5349 17467\n3378 8819\n4931 6290\n5310 7305\n9434 19744\n9759 10232\n4976 5736\n1076 19910\n989 1960\n6127 17673\n833 14664\n8579 16784\n47 3188\n3699 18688\n581 2385\n3646 4733\n17358 17516\n184 4799\n8911 17362\n3612 19344\n4453 9284\n1737 17934\n7245 16376\n5435 19375\n212 2847\n2222 5741\n6015 14717\n145 7536\n3818 11274\n5599 15332\n6433 8620\n11517 19238\n5382 6529\n5397 16588\n713 3319\n8861 13883\n5200 12366\n3772 12726\n6745 15693\n3900 19890\n5822 7641\n4180 8288\n64 11596\n1589 18692\n2355 2813\n2666 12528\n4993 15741\n3358 4789\n8751 14403\n1191 4467\n1586 11002\n10859 19387\n1241 12567\n3558 9669\n12296 14276\n4895 12266\n17119 17414\n302 10871\n994 10457\n9112 9268\n14084 15987\n2737 3335\n2509 19258\n2372 14298\n7741 18215\n8884 12174\n7590 8318\n3400 19932\n14099 17038\n2635 11371\n9247 14826\n7281 20032\n14731 16377\n18219 19704\n120 16103\n488 13188\n10644 10912\n10046 15356\n6703 18929\n1052 10046\n5385 19254\n14590 17601\n3869 15687\n4736 15949\n7142 17681\n2589 11589\n2264 4729\n359 8263\n3012 19532\n161 9875\n1570 7871\n18979 19832\n217 7322\n8685 15851\n7239 14253\n6563 9611\n2618 6799\n7414 10145\n5367 12524\n829 18207\n5730 11477\n778 904\n2796 10379\n925 1567\n10014 10503\n5562 8951\n15237 19942\n8507 16389\n2870 9381\n8927 19486\n5621 6490\n16344 20148\n12190 15624\n4052 16155\n96 13968\n6940 8565\n11936 13078\n7052 8261\n4688 6079\n2562 7411\n12231 16461\n12017 12368\n4456 18277\n11287 13658\n5635 11037\n12166 18031\n2326 4090\n4895 14036\n8684 15397\n4077 5187\n7309 10044\n1575 9059\n1490 10385\n707 13947\n15285 16805\n3952 4286\n857 10994\n9836 18426\n6567 11069\n3382 5287\n4253 11274\n1104 6538\n10923 17312\n19205 19485\n6646 13415\n2588 8123\n1890 19079\n2163 10023\n9597 15283\n14437 16495\n3961 13828\n7953 13866\n8179 14096\n7666 18372\n793 17233\n4004 14262\n6585 17600\n4682 17915\n2256 10415\n19275 19828\n9570 15152\n10504 14198\n10629 11979\n14747 18736\n17325 19041\n10478 19244\n9183 13319\n18085 18759\n12450 17864\n9205 16884\n7669 14962\n15372 20261\n14557 19606\n6571 16859\n17447 19609\n2162 9310\n10546 12758\n16459 18550\n3465 5107\n14489 15936\n13414 13706\n7210 16364\n11247 12771\n4781 5309\n2278 13820\n1058 8356\n500 2970\n1449 19644\n8963 15662\n7640 12567\n4068 8220\n674 12910\n1839 8862\n17365 18584\n12366 13474\n3263 15581\n7896 10857\n898 14517\n3608 6730\n9938 14482\n15879 18443\n9366 12711\n8771 10695\n18 4697\n18086 20139\n7845 20248\n261 13253\n1866 19643\n8519 12379\n1429 14443\n14360 14849\n9008 13255\n3203 18057\n12112 14057\n10302 20045\n1551 9716\n4390 13587\n4190 18893\n5748 16648\n7244 9189\n16559 17298\n6179 11889\n13588 19456\n810 17053\n7047 10143\n12336 14483\n10370 17006\n1021 19605\n5588 16219\n1509 7090\n8758 13647\n8014 11582\n4258 7345\n5834 16708\n10804 12518\n604 7825\n2004 18681\n4598 15793\n15527 16782\n12965 15329\n330 17667\n11704 16800\n530 15652\n7687 14241\n7497 18405\n4888 12420\n15627 18854\n1628 4110\n3689 9696\n2412 2762\n13031 16916\n2145 19749\n5104 16651\n11827 16143\n5323 18356\n4673 14044\n7918 14783\n50 1761\n3510 7139\n3403 16925\n16006 17854\n97 8312\n5224 14880\n16611 16895\n8802 9478\n14532 16753\n16059 20152\n11927 19835\n2169 16064\n9702 14293\n10227 10756\n3941 6824\n12248 12416\n115 8213\n6686 16880\n9994 13811\n4148 15344\n2541 8653\n11328 17773\n3932 7583\n5694 11854\n14865 18004\n5382 15239\n6612 8455\n8059 12380\n16143 18225\n8092 14033\n5181 11080\n6109 11199\n10104 18536\n173 8932\n2400 14179\n2253 12018\n2988 8988\n4273 16764\n10130 14373\n1713 12932\n2156 12333\n7353 10712\n378 15606\n10756 11494\n910 4352\n2365 15416\n5797 8463\n787 13296\n7140 11163\n19042 20071\n284 3541\n1672 4857\n7669 20086\n7366 19556\n2774 6020\n13342 18676\n9411 13818\n7919 20041\n6615 9894\n6282 17139\n3111 4413\n12567 18227\n570 9936\n1511 15471\n4931 8722\n775 7618\n11071 17023\n7789 11806\n13727 18427\n6187 19358\n8733 14358\n3031 6978\n1358 8110\n8317 17808\n4136 9644\n1070 6208\n2442 20029\n4996 18658\n1094 3265\n1971 19858\n5362 18472\n11937 15912\n1355 18107\n16139 18251\n885 15096\n1327 12897\n9448 16049\n10295 14608\n4407 7383\n3430 16898\n17374 17417\n6643 12585\n13054 17392\n10286 15836\n6141 14735\n4783 9108\n2248 13567\n7691 14426\n345 18340\n14271 17026\n4728 16494\n901 19284\n13734 16409\n10024 16561\n2214 6562\n2359 3373\n8512 18300\n10174 11804\n9448 15039\n6012 10118\n9049 13296\n13228 16367\n6024 6345\n8712 15209\n9375 19771\n4368 10653\n3797 17016\n10468 16555\n3230 15282\n1240 17823\n669 6458\n4222 5073\n4069 10368\n843 18728\n3152 8300\n5091 8214\n9370 16820\n3516 6068\n3372 7581\n558 16633\n11177 17544\n5168 6729\n11981 16508\n10452 10711\n2691 11740\n3066 8634\n2481 4674\n389 7048\n40 14793\n8334 19821\n7021 20231\n3805 17224\n495 14651\n9096 19514\n6793 10049\n4280 5671\n3051 14493\n10845 12169\n2455 11211\n13773 19230\n16877 19043\n5300 19451\n17350 17661\n10867 16233\n1164 6028\n6774 19019\n17183 17342\n2071 18387\n4965 16340\n8933 12246\n340 17061\n8835 12919\n3172 7372\n17487 17632\n9043 15136\n13943 17914\n5307 7163\n3406 6228\n3956 13568\n14306 14475\n13987 17696\n13270 13900\n6822 11561\n11709 15448\n13702 14687\n1165 5744\n6118 19562\n18305 19914\n8966 12954\n6831 10750\n5170 9417\n2510 9189\n758 6813\n10256 13509\n7732 19531\n11459 19236\n5316 8487\n16316 17325\n8550 16748\n5673 11823\n638 11217\n4790 17915\n6181 19852\n9416 10608\n6247 8872\n11336 15730\n6573 15984\n5336 15502\n2855 9603\n11362 15175\n14234 15630\n13471 18707\n15935 17291\n5468 15088\n7245 11068\n12103 15334\n1637 1724\n1438 6985\n9565 12079\n6186 10961\n582 10035\n14255 17505\n458 1491\n9561 19036\n2606 10220\n2097 5196\n6680 11780\n18346 19827\n2273 10486\n9669 13043\n6041 8775\n544 2987\n15581 17396\n12351 20114\n5636 17624\n8539 10301\n7123 17264\n12864 16547\n6174 14212\n6127 12288\n5482 8806\n13719 18250\n4439 13659\n16945 17809\n8916 11255\n1737 6157\n3018 17875\n9639 12405\n1064 9818\n7913 19742\n4828 16968\n646 5010\n1355 14967\n683 7504\n811 18844\n10026 14327\n14619 14862\n610 19358\n9025 16928\n2227 10995\n8923 17955\n9662 15680\n11399 16139\n6520 7560\n8806 10615\n4245 5460\n16995 20073\n15973 16682\n12207 17616\n13888 15753\n5582 13729\n3349 11406\n4133 7823\n1160 15612\n1951 14572\n5781 16487\n5976 12491\n7677 20055\n2965 5121\n6006 8268\n5111 11741\n7015 20254\n3525 15614\n4882 18755\n7507 19273\n10049 16274\n7444 8574\n5262 15964\n12978 18494\n931 18503\n4250 5164\n11924 12491\n10699 13460\n163 18963\n1267 16964\n7645 12014\n3057 13238\n15245 17546\n4812 6142\n13693 18742\n6587 17039\n14894 15215\n7877 17844\n2497 18990\n5736 10127\n3432 10661\n5607 19796\n1212 4090\n7508 12605\n3915 17526\n13232 14483\n1936 18957\n1248 18270\n1409 9494\n304 18149\n12152 18151\n7318 14989\n5951 19914\n840 4405\n11565 12454\n6361 11269\n9161 17413\n2653 15649\n5757 6064\n7010 10933\n6101 12328\n15454 15534\n2765 3290\n2764 10899\n3388 3839\n9427 19090\n4202 9276\n6837 13378\n3597 16054\n5929 12641\n14871 18733\n8044 11369\n2203 7025\n17659 19995\n2004 5418\n950 4832\n2321 12127\n1971 9359\n4496 12580\n2952 18625\n7646 12355\n6277 19253\n12713 19487\n5898 13006\n704 12186\n6209 8192\n11336 13858\n3019 19590\n1961 8300\n6470 18103\n1731 14372\n1927 12415\n1241 15139\n4159 18834\n16645 18124\n6597 17313\n2944 8687\n10582 12535\n1483 18770\n10523 14553\n7734 13218\n6858 17976\n8938 17333\n319 12365\n13783 17165\n225 19338\n15424 17459\n378 19152\n2719 4763\n8417 19444\n1534 13409\n1474 7163\n7089 15676\n4224 12365\n9852 14734\n5586 9799\n11942 15196\n2283 20082\n2416 7572\n5991 19882\n7033 18641\n16763 18882\n2480 14028\n18548 19114\n5370 10191\n4332 15948\n536 8809\n2454 16012\n10358 10847\n497 19197\n15366 16429\n595 658\n5996 20073\n4188 19579\n9583 13310\n2163 7864\n259 10897\n11190 14775\n3218 13661\n11980 14345\n3356 5735\n13369 16230\n734 6765\n3188 10096\n3144 11766\n3667 7979\n18013 20231\n4892 13439\n1010 3587\n17837 18131\n7099 18735\n8890 10660\n10951 18890\n705 8351\n15043 16295\n2578 14796\n9733 12263\n10906 12401\n4315 11709\n9831 9957\n4374 10845\n1250 14182\n7347 13030\n5973 15956\n6332 6600\n13295 15318\n3924 10982\n15148 17493\n10146 10682\n5924 9746\n6720 12934\n1284 10463\n9097 16112\n5270 8943\n876 10156\n44 2561\n4381 16425\n6045 18411\n12751 15920\n14609 17915\n7741 15376\n130 13389\n6666 13381\n1010 10704\n7924 9566\n3973 17279\n2740 4465\n6514 10748\n1313 4890\n6045 10333\n2456 5191\n802 2813\n10265 11793\n16266 18270\n2507 14469\n10684 17301\n7983 10056\n845 12601\n4446 19179\n6851 18217\n10122 17405\n4902 5032\n7957 8402\n5775 6778\n6173 12263\n7392 11083\n8073 8888\n9997 17103\n9337 9932\n5882 17235\n18068 18978\n4712 6826\n3552 10999\n8690 11011\n11468 13740\n2959 8813\n2176 12923\n9050 15812\n29 2757\n6425 7740\n8653 19521\n8277 8308\n1683 11538\n13665 19695\n1152 10834\n11977 12761\n1586 14464\n8200 12191\n14728 17191\n68 10429\n5988 9664\n13293 19463\n2926 12135\n14135 20030\n3922 5226\n10251 10972\n14201 15301\n1707 13212\n3660 11996\n3002 10425\n2790 10705\n15380 16261\n5861 20154\n6229 8685\n9426 15509\n12505 17492\n9419 12039\n6890 14112\n1923 11615\n15677 16975\n7649 10489\n637 16152\n12125 12502\n16179 19684\n5402 16987\n10244 10677\n9257 12414\n15981 16659\n1467 3093\n3129 5561\n9053 10699\n3694 12318\n5944 13796\n6160 14700\n14396 16342\n16105 20082\n2720 9415\n3791 6598\n12308 19451\n4442 9857\n10997 17371\n2454 10379\n13515 17892\n4721 19465\n4476 12226\n7032 17120\n1322 2486\n94 19005\n12886 16826\n16733 17696\n2381 6185\n2164 3067\n4609 16703\n14815 17450\n13829 18632\n12424 16527\n2216 2447\n590 18045\n6628 7291\n8076 16111\n759 2315\n12776 15010\n8922 17626\n1524 6885\n13782 15665\n804 13562\n9109 11092\n7928 17348\n12191 18975\n308 11240\n7235 16789\n2818 14426\n11763 13792\n10774 16323\n2933 15586\n1913 9582\n8593 12660\n14695 19868\n2504 16318\n7708 18862\n3486 14030\n15105 19724\n10823 18313\n172 18637\n19279 19390\n17922 18485\n17668 18553\n2167 19994\n12421 18363\n2036 17014\n988 16738\n4097 19287\n6610 10334\n3725 5808\n4865 14572\n12469 17291\n12476 18135\n6489 19102\n703 7960\n10352 13219\n4853 14123\n14928 20168\n2279 17668\n7268 15036\n2478 9420\n3059 17967\n1279 5379\n10939 16226\n8582 12039\n2121 8562\n426 19677\n10686 16973\n875 17277\n15420 19631\n5498 8477\n6456 11599\n1670 8251\n7622 9677\n6524 17926\n14101 16304\n754 3732\n15409 16481\n16866 20077\n4644 11604\n1298 2124\n11293 14435\n1885 16983\n19982 20066\n7765 11266\n6038 11237\n4761 8026\n805 16556\n1668 8522\n7526 7587\n6067 8671\n5290 17620\n2727 14323\n861 11332\n313 19535\n4283 13775\n12776 19363\n4088 20185\n4427 17118\n463 14392\n7825 9923\n5878 8978\n7333 11140\n494 6711\n5344 19813\n10539 19780\n15849 18728\n11954 14138\n6697 13759\n4087 13517\n3167 12914\n4802 18150\n8224 16518\n2961 16402\n1467 17113\n17791 18529\n8583 9817\n8997 15787\n13009 16778\n8447 9305\n16296 17660\n17616 18932\n18426 19050\n2178 3989\n3248 10364\n11744 13774\n2258 19402\n3226 17765\n10410 11535\n12113 18085\n10141 12972\n520 14108\n1321 9020\n9484 19702\n4939 19996\n987 12895\n4940 15091\n6252 17525\n2964 17578\n12773 13666\n1438 5886\n12394 17940\n5254 14240\n6221 19907\n1214 15123\n11243 15090\n7553 18654\n2453 14890\n9388 13738\n6668 7880\n6395 6631\n2632 14219\n18417 18687\n4420 14107\n13611 16131\n1342 8983\n7784 8029\n1565 10979\n7845 15609\n9693 16468\n5067 19594\n7803 12220\n1499 4932\n2632 6285\n7403 17321\n4726 10620\n1502 18060\n168 7283\n9045 18377\n10971 19949\n7681 16009\n1675 12893\n6325 11251\n2767 13836\n3835 15498\n2602 13730\n5894 16906\n14687 16475\n7121 8670\n10735 18612\n8497 15292\n14477 18891\n17165 17657\n5054 5110\n13992 18210\n832 17437\n2360 6113\n2620 14034\n7898 19480\n3053 17629\n2070 16979\n5207 16497\n4109 18243\n15493 17791\n83 6442\n9544 14252\n4337 15409\n3955 13678\n2814 5830\n8961 15596\n9838 13371\n4161 13139\n2971 9656\n4130 16996\n11403 13688\n12465 18576\n6130 9515\n4818 18418\n13900 19793\n17306 18375\n7896 9332\n779 20069\n4399 5348\n12370 18536\n5960 18593\n9917 16361\n14505 15652\n3047 10260\n5597 12843\n18876 19745\n1480 10716\n13961 15531\n1111 3715\n5539 18418\n9186 19058\n4796 12864\n2860 10579\n7353 9973\n1177 16519\n10303 15390\n2387 10340\n5141 19041\n7051 11454\n3016 10235\n9430 10072\n4087 5290\n1488 14011\n208 13571\n554 3359\n1998 7282\n1196 3581\n5720 5752\n1754 14304\n10696 16809\n5743 19721\n4805 17010\n11353 16991\n8267 18262\n2468 13907\n6900 7610\n7824 9465\n7923 12756\n8710 12228\n1963 5100\n6591 19825\n8060 15507\n5973 11624\n1600 3303\n6523 16810\n1383 11458\n3417 19273\n7187 18478\n12863 19853\n630 6541\n9295 14908\n3330 15866\n14874 17833\n3228 16096\n3922 7256\n767 17443\n474 17245\n6709 16326\n5550 16725\n8727 12100\n10769 11402\n1489 2527\n12384 17077\n4565 7417\n8585 9935\n6751 13523\n3579 13247\n6075 19998\n4558 6075\n1202 7922\n4924 14091\n13921 17390\n2706 12134\n6450 17003\n8221 12780\n2116 15361\n2505 10820\n9014 9359\n127 19852\n4858 6690\n6090 9299\n5403 19873\n6469 14628\n1326 4563\n8642 10071\n8810 15255\n398 8484\n2361 9173\n2408 11017\n26 16271\n9152 12403\n18878 19966\n6603 16277\n5247 6720\n25 7619\n18495 19094\n4562 19624\n1601 7193\n9652 17812\n3579 13248\n813 8072\n18471 19121\n8231 11637\n8629 12566\n1299 5454\n1842 11164\n2075 4194\n7461 11107\n5691 8541\n1828 6379\n2373 16973\n8442 12495\n10041 12425\n10931 14206\n3074 10283\n16645 19011\n2669 6888\n12866 14565\n13584 14388\n8005 18698\n4708 15845\n12244 14660\n9095 17124\n5591 8200\n9548 17014\n2181 18105\n10687 16727\n3280 5835\n11661 13075\n17580 18802\n1099 11430\n925 4315\n17230 19188\n2843 3694\n2900 18007\n3178 12586\n1628 12913\n10804 15140\n7674 17102\n12055 20080\n3665 7642\n6960 7302\n2307 17250\n12643 20066\n12591 15907\n4677 20010\n14980 16375\n805 8395\n13536 18806\n15018 15716\n15750 17516\n4442 5223\n16739 16779\n493 1615\n2428 16570\n3035 17199\n5952 14844\n5223 17251\n3762 19347\n13702 16922\n5371 7800\n11105 13034\n10810 11994\n6284 16812\n2113 17712\n7768 11152\n575 14851\n3537 8853\n7904 15060\n14770 17677\n1172 15383\n1170 1528\n13139 14619\n4657 10921\n9278 12097\n17342 19394\n15274 15286\n19480 19518\n2244 8676\n2314 8698\n4487 7424\n8595 8735\n3427 17631\n2567 20283\n5812 19535\n1051 11009\n17197 19183\n3757 19249\n990 19372\n6930 15821\n190 20240\n1266 19112\n4285 15411\n2335 16876\n6908 14100\n4940 18598\n2246 7635\n14693 19474\n3598 10784\n442 10383\n8893 19731\n1688 16912\n6548 15972\n13122 15588\n6293 18120\n2425 18907\n10488 15504\n10550 18932\n3847 5942\n5073 10869\n6937 9314\n7128 14474\n8960 19385\n55 10067\n3905 15399\n331 10258\n7158 19012\n1733 2519\n10076 14081\n3576 6326\n3790 10628\n2573 15369\n14254 17886\n41 11476\n5400 12855\n1498 11132\n16398 20236\n8508 10956\n6765 9188\n2055 5401\n4539 5991\n3773 13427\n524 10036\n8491 10931\n7081 18132\n15316 17264\n7935 15724\n1152 15767\n4816 16590\n16433 19221\n10319 11635\n7775 11451\n9740 14818\n7781 10226\n1086 19655\n4682 10660\n14243 15655\n3063 14179\n3738 8926\n3597 11047\n16378 17868\n9300 15977\n4357 4804\n3682 18375\n10197 16734\n2296 8656\n15284 16440\n1802 13713\n932 3414\n16720 18551\n11447 12077\n4481 7456\n3677 13935\n5040 18743\n3933 8654\n9490 13811\n7848 14548\n5106 7199\n11438 16556\n8493 12239\n5610 8096\n1434 3172\n4466 11537\n11297 17983\n5004 17272\n202 2549\n8229 18048\n1689 3709\n5636 10098\n563 12358\n7611 10551\n3514 8159\n216 13346\n598 1553\n4900 17425\n6618 14955\n1526 8924\n3583 11076\n3704 16684\n16489 16921\n577 15237\n8458 16680\n17300 20044\n5385 19328\n8409 11519\n177 15410\n9112 12858\n9519 13952\n5700 15278\n1504 6484\n12462 19612\n15019 16837\n19462 20208\n5190 7424\n1217 19698\n4043 5463\n16567 18824\n15059 16498\n5668 10931\n329 12391\n5248 12712\n14265 17673\n3411 11368\n2988 9413\n545 4461\n2264 12592\n2902 13432\n3613 11094\n13027 16395\n7632 9334\n11863 19157\n9057 12437\n18986 19773\n1980 17520\n727 3938\n8454 13926\n6618 11357\n6061 10605\n4067 11851\n10491 17414\n14500 14549\n8293 11434\n12023 19765\n645 13065\n6591 7745\n3306 3416\n3610 16499\n1017 9488\n4399 12047\n9867 12630\n14820 15283\n14531 16322\n6122 17865\n5728 17162\n5293 20093\n78 1128\n3551 6903\n2672 13200\n17129 20235\n10162 14189\n8695 12823\n10593 18256\n7580 14785\n2426 7662\n14013 20141\n17515 19440\n8000 9158\n2576 19563\n5114 7897\n11375 17181\n7673 20231\n13549 18013\n3868 19051\n6598 10756\n4648 18375\n13366 19254\n9388 19989\n4714 8147\n7314 17317\n3505 19411\n8569 9743\n17889 18489\n4110 11712\n1611 13444\n15378 20070\n19296 19452\n3080 12914\n8889 17094\n5331 7463\n6988 12926\n2427 19696\n4023 11846\n1197 3654\n3139 9800\n3290 18244\n5854 10837\n1368 11656\n7573 18575\n4967 13712\n4481 10435\n1455 10220\n2770 19052\n5490 18277\n16353 17278\n263 16964\n8382 19415\n519 18467\n8854 14818\n3140 16068\n1877 19193\n7545 12831\n13641 18018\n1476 13781\n3490 3730\n559 9909\n10316 19763\n7430 20167\n1472 9364\n2260 10670\n14256 17308\n5905 15832\n1454 2570\n7864 9953\n9356 20263\n2228 17590\n5747 12158\n1577 9134\n126 8540\n1452 2376\n13532 13661\n6574 15568\n15689 19148\n16069 18564\n7314 14324\n8791 9200\n2016 6267\n9401 18424\n10002 10387\n4209 19977\n9639 18719\n5274 7272\n6486 14332\n1552 11517\n9609 17888\n7254 14312\n1508 18452\n1566 2007\n14 15121\n5381 14701\n433 8343\n4442 14587\n2009 14796\n6703 18075\n6682 18049\n13901 16800\n18589 20170\n8094 10384\n8389 18117\n11517 16127\n8433 11376\n6008 15934\n7736 17246\n2181 19510\n4503 12530\n6853 9355\n307 5018\n5223 17228\n5280 5780\n442 18189\n4722 5149\n5001 16253\n13100 19268\n135 6548\n4343 19406\n16691 19725\n11614 18689\n1132 5568\n7275 9073\n4655 11001\n584 11032\n9098 18214\n1718 8085\n956 5582\n2706 6847\n14662 18652\n6773 9112\n14761 16497\n9079 12065\n16351 18220\n788 2723\n2171 11401\n8875 9644\n5076 9165\n4428 17776\n10544 17122\n2035 9582\n2382 11992\n11683 16318\n3025 13370\n2689 3399\n367 14650\n9798 18935\n2776 18569\n7828 18664\n16509 17437\n4103 9420\n2273 12346\n2541 16952\n12915 16993\n1214 7684\n1214 11567\n1754 6696\n3860 4352\n439 17615\n14970 16135\n3349 17126\n2630 3469\n12326 18648\n5388 17827\n3951 11425\n5031 12415\n13120 13963\n15492 19893\n10133 18061\n1289 13386\n1719 12529\n12235 19510\n3466 3582\n14527 16786\n14508 15132\n13572 15868\n2902 4899\n3523 12387\n5264 6423\n5383 14855\n5093 13656\n12880 16645\n7236 7544\n18236 19906\n372 11494\n11682 18367\n15488 16103\n2480 20043\n9551 17918\n7020 19620\n6671 15873\n12538 17520\n16411 19015\n842 6475\n2288 4385\n1791 7101\n16739 17365\n7847 17943\n17875 19346\n1093 7485\n11045 14980\n7735 10568\n6980 8231\n8016 14743\n751 6541\n4251 19642\n3164 12952\n1799 13514\n17540 19806\n11886 16082\n7553 11761\n15033 16688\n2729 3933\n10734 16202\n8538 11016\n5405 6165\n7954 10383\n642 18325\n10610 19651\n12067 15295\n5881 19562\n5244 12141\n782 10298\n10630 12438\n352 5125\n7552 14813\n8500 10013\n12969 18270\n18695 20235\n11542 18808\n5222 18353\n1826 4776\n2807 2939\n5387 9165\n5571 14454\n1243 8252\n829 19851\n7369 10838\n11869 15025\n7470 10850\n1512 6080\n12507 16967\n7398 14903\n4779 14885\n16977 18451\n9240 13115\n10398 15212\n6913 10062\n883 19749\n1921 5141\n7304 18331\n252 1175\n4166 18749\n1893 6896\n5627 14793\n4309 4382\n16001 16121\n8125 10045\n3871 19897\n1949 6240\n14113 15068\n8814 14161\n152 12332\n8611 17790\n16505 20288\n6546 10420\n5442 7307\n7559 12365\n7327 9468\n9219 17485\n5943 17482\n18180 18699\n831 1211\n9080 15292\n867 4662\n14693 17941\n6093 19848\n338 12151\n6202 10714\n533 9831\n3378 18978\n6412 20101\n5520 13108\n6602 15233\n1011 16854\n13707 14595\n3293 12319\n12114 17977\n1009 2969\n1664 19841\n1059 8826\n5450 8169\n5734 12390\n6099 18545\n6372 14838\n2736 16757\n6745 17878\n5764 10043\n18099 19968\n11900 15669\n2747 4785\n2309 17496\n7246 10841\n3350 15884\n2775 18063\n1757 10164\n3700 6855\n15646 18848\n3869 8074\n2191 13950\n5062 14335\n2810 17636\n3463 13668\n12130 17743\n15019 17632\n2848 7869\n1896 14614\n5782 10916\n12931 15632\n1804 7893\n3815 9241\n3119 18676\n17583 19723\n12011 12918\n4024 12698\n16098 19459\n6100 8941\n286 7907\n7782 8409\n2889 14538\n9774 17583\n3008 6925\n13597 17204\n13205 13623\n10245 15805\n2146 4353\n5473 16851\n3448 14167\n12599 19432\n3457 14461\n2615 6441\n9137 18090\n5331 11428\n6740 12948\n8996 11333\n1704 9014\n10151 19983\n4679 14312\n1240 12191\n9153 12135\n7453 11187\n2458 6240\n5166 17946\n4549 20030\n6244 17300\n5470 12772\n1932 10154\n6410 18052\n7977 19916\n1045 18897\n2967 15561\n348 15118\n9504 19113\n7431 8575\n957 12857\n2945 18241\n6243 9667\n2643 17799\n6967 8201\n10205 16919\n2353 11934\n3912 7468\n7659 18679\n11445 14559\n2442 10234\n9192 14108\n18517 18565\n8271 8342\n468 19977\n802 11177\n7761 11284\n6204 19973\n2975 10530\n16079 16371\n440 16385\n7941 17730\n6616 17110\n8262 10798\n5330 7222\n8350 15059\n10117 18435\n1723 8354\n2284 6799\n3188 19169\n14093 14236\n1106 14023\n7700 10799\n9628 19259\n2694 15026\n11144 11580\n1761 20236\n2469 16966\n9527 10315\n12648 18657\n1289 18938\n3010 17410\n8619 18432\n14388 18204\n973 17730\n3900 12702\n5747 11691\n11686 18432\n11921 15519\n3417 19249\n13020 16827\n4638 17730\n7707 17223\n4881 17601\n9763 13868\n3703 15037\n13855 19970\n4427 7156\n19153 19597\n4758 5439\n4890 17293\n2109 8514\n5338 7584\n4106 18380\n2033 15111\n17967 18971\n14581 17164\n7404 9052\n4723 10233\n12871 15234\n5975 10295\n3671 15635\n341 3533\n2351 10751\n5495 5715\n4713 8960\n658 2069\n997 3232\n771 17956\n17661 19478\n15231 15463\n6812 8029\n4729 8736\n2874 16429\n2521 7203\n7742 14760\n9681 16217\n2196 8744\n4095 16419\n1230 2868\n4259 5314\n6652 7840\n7684 15207\n5361 7322\n14649 18133\n9172 11192\n1545 5055\n2205 15149\n14084 19790\n681 4704\n9101 17160\n10302 13153\n11095 14849\n365 17125\n2211 10148\n6976 18647\n10669 15681\n180 1259\n7087 12375\n6880 8069\n7470 7552\n16367 19458\n2546 19433\n705 5646\n10779 19159\n4899 5192\n812 19436\n9872 20072\n2684 8659\n16052 17813\n539 9043\n3080 10046\n708 4910\n8255 15943\n12128 17989\n6739 10646\n5651 18477\n6520 14968\n10899 18194\n11605 15948\n924 12341\n14262 19859\n3178 5215\n15259 15727\n11319 14959\n5340 19133\n11974 13994\n554 6781\n6088 20180\n8159 17541\n1070 14345\n273 16325\n7849 14893\n7592 15949\n189 1734\n6054 13023\n6218 16296\n4855 13650\n6861 20284\n1893 18398\n3407 7818\n3868 12598\n9235 17262\n1283 7451\n13524 16624\n11091 18203\n11836 14548\n11469 16961\n4933 6586\n4806 7966\n3642 11613\n3387 15819\n8349 10256\n416 15452\n8393 20027\n1218 9617\n424 8849\n9139 14286\n16031 18769\n5296 14458\n2960 17681\n1356 8948\n10813 12345\n5306 9356\n3656 4293\n5427 11177\n502 15714\n618 4038\n1822 8251\n163 6359\n665 4075\n3472 9999\n8963 10781\n3617 18881\n3306 10288\n13699 15481\n15837 18143\n17526 17879\n8252 9477\n9090 11415\n2110 11876\n2994 16570\n9459 15999\n5854 17431\n11222 12920\n169 8026\n1447 5630\n1729 16993\n13435 16788\n11677 15783\n10446 19115\n6902 18465\n7964 20225\n2632 13738\n5781 17943\n14883 20103\n2516 17491\n4732 15853\n2290 2508\n7659 19829\n12746 17516\n5919 13986\n16310 19150\n12513 13676\n463 15189\n8771 16551\n1563 10297\n3136 3759\n3239 16822\n4337 12757\n4978 19395\n15577 18438\n1447 13019\n8483 14535\n6334 6634\n4166 6203\n14645 17758\n16956 20243\n954 10446\n182 11811\n3783 19315\n16669 17574\n11372 20212\n1968 7204\n3346 16052\n17 20104\n7401 8331\n6726 12847\n2484 7078\n1441 3400\n7947 19224\n2838 13141\n406 10820\n1702 14833\n1334 5266\n1310 14690\n4701 6742\n3421 11886\n18962 19078\n11966 12616\n35 10319\n674 16707\n236 10543\n12597 19301\n11946 15436\n9065 10420\n486 6568\n5127 7545\n6148 14905\n8526 14494\n16783 18567\n5227 11575\n4799 12016\n3131 18974\n18124 19870\n4767 13558\n3559 12008\n1178 15688\n14158 14301\n5500 18656\n14991 19370\n4067 9104\n6800 18912\n11697 15269\n13961 19126\n18853 20158\n4040 19467\n6405 7685\n732 1539\n10493 11922\n13750 20001\n15811 16795\n6421 6560\n7630 17050\n9782 18737\n8987 13938\n9737 17076\n15173 16362\n4314 9127\n4800 6412\n10856 19176\n864 16641\n12184 14097\n952 5928\n3840 8638\n851 18698\n2074 15067\n4156 8933\n4801 8484\n7309 13560\n1552 4853\n12692 14209\n1219 4860\n5838 6507\n3460 3604\n15558 18021\n1864 6209\n6067 6634\n2323 6273\n6085 8160\n16348 19354\n356 3727\n2625 14966\n16211 17328\n2342 9091\n5015 11905\n69 15829\n96 15124\n11825 12849\n9358 13871\n1064 8464\n8672 17648\n9748 16832\n7971 12657\n1793 9346\n5121 13837\n12135 17581\n8647 19086\n3236 8156\n2109 8926\n14203 19382\n13593 18414\n2299 14480\n999 14537\n6683 7580\n10090 19669\n1303 10663\n581 3179\n14464 18261\n2892 15941\n10751 17109\n15768 17732\n8425 20091\n2666 5520\n4698 7015\n6258 19364\n4194 12667\n11619 13848\n5607 9207\n2749 8576\n9209 11407\n4548 10726\n7729 13531\n4490 13307\n7514 18903\n1706 7775\n13828 19823\n4929 11490\n4490 5224\n8109 16889\n11150 16669\n4943 14486\n16602 17301\n12507 16324\n7465 10188\n1181 11529\n15923 17378\n12025 13957\n2437 15715\n6519 19748\n9223 13904\n1883 5784\n437 1376\n2247 8658\n9510 11191\n3042 15499\n13969 16503\n7192 11267\n6669 12660\n1624 1826\n5815 8292\n2320 3902\n2069 6459\n3336 11886\n8784 16489\n4342 17858\n10162 16957\n7652 16744\n2569 3926\n2541 5082\n7802 12055\n13766 18734\n6743 14051\n3012 12942\n238 1514\n18618 19840\n5147 9940\n7668 16111\n4508 19288\n4203 18051\n4943 9650\n3740 16044\n5766 6248\n7077 12522\n11866 14925\n6015 7137\n5904 6792\n5148 18649\n6332 11033\n1444 2602\n4550 5767\n12308 16964\n5619 18496\n14553 20248\n11872 18883\n6806 17786\n8862 18037\n13084 13141\n3849 13882\n2832 6558\n6096 6720\n9818 14774\n379 13996\n2855 13844\n10475 16099\n6297 12881\n2945 9940\n12030 17627\n7253 18627\n1084 11991\n1710 19943\n9596 13372\n7798 19043\n3782 4675\n2905 10059\n7416 18123\n8539 10371\n6491 18436\n3718 14898\n14827 14945\n199 12457\n7928 18784\n18713 20206\n1012 18870\n3254 13764\n3645 11829\n5958 12065\n13075 14422\n8060 20050\n10511 20255\n8388 12861\n14429 17518\n2258 18857\n10068 16073\n3033 14522\n4832 17672\n2445 16113\n12856 20276\n13670 19077\n1462 13311\n295 10056\n160 14301\n3931 9131\n6534 9551\n11501 13614\n2490 20253\n5243 19887\n15280 18757\n3144 7205\n2126 15855\n18544 20144\n14515 16826\n16817 17217\n1724 17472\n10027 18980\n853 8226\n838 9503\n1315 2556\n1598 11377\n4753 7707\n197 15093\n1157 8639\n5320 12602\n6534 8841\n219 15577\n4927 7623\n5544 17093\n14839 16935\n1564 9239\n1810 16854\n4976 12979\n2423 8453\n290 4177\n524 1109\n973 9989\n2803 18723\n5001 17301\n1349 12171\n10246 14570\n4251 8544\n17614 20083\n158 845\n4144 17824\n6740 14932\n848 3215\n29 6115\n11050 16960\n15693 16345\n13720 15089\n16737 17797\n11160 19502\n967 6908\n4028 8763\n8655 18027\n59 12903\n8257 13951\n682 4299\n6683 17402\n224 5284\n6029 18794\n6121 18583\n10307 12204\n13484 16995\n2395 4858\n16302 18242\n578 15328\n494 20090\n8435 9992\n7648 12859\n4504 11440\n2992 3394\n4492 15024\n2375 12871\n6911 13107\n1295 18256\n660 10235\n13640 17013\n3117 15942\n1319 20021\n10016 19311\n6185 10348\n3634 5005\n6813 15096\n1915 5437\n1218 12072\n2934 14890\n5310 15254\n1883 16271\n1891 6374\n2016 4558\n5518 17720\n8057 13342\n11838 14033\n17894 18709\n1479 11775\n7914 11683\n596 10280\n1300 13544\n7155 17681\n5067 17753\n5992 12155\n8668 15151\n12966 14353\n7040 19886\n11442 19011\n8955 16275\n4301 13764\n10164 13666\n5053 15626\n2821 11998\n58 2810\n1519 7033\n11625 16215\n9385 19004\n9962 18827\n2135 7565\n5542 13446\n10019 20256\n13645 17925\n1491 11037\n9353 16619\n14105 15447\n903 9988\n14636 18495\n3116 5489\n6970 19712\n1587 5561\n6160 11399\n634 9597\n13760 16075\n15551 20140\n10034 17273\n14530 18592\n6213 12878\n9369 15436\n657 14227\n2564 10141\n10950 18897\n17169 17780\n14231 19639\n15746 18649\n12526 18185\n5511 19888\n10302 15820\n3790 12472\n7783 18641\n14610 18586\n9065 17288\n3240 19089\n3207 9330\n6857 10187\n8597 9549\n1479 11784\n16804 17326\n11543 12898\n4785 9740\n4747 14590\n5461 16947\n5950 14844\n58 223\n1871 11601\n7782 11590\n13965 18133\n9786 12490\n4695 10755\n204 2915\n2887 16796\n7514 15086\n3550 6788\n12375 18225\n3393 17198\n3912 5403\n785 14557\n14109 15057\n1970 2579\n795 4774\n6258 19596\n1328 3584\n3285 12154\n8104 15270\n10508 17368\n2818 11326\n6292 12254\n10802 17768\n27 6649\n1808 14482\n2115 14909\n5264 13520\n4215 17854\n456 12432\n11738 16723\n2797 6815\n515 6316\n13175 19718\n177 6181\n9405 15067\n6518 8280\n4308 14536\n10575 12315\n5908 12653\n7448 15811\n417 6677\n8486 14442\n1314 6021\n7934 9217\n2423 14126\n11700 19035\n8428 16961\n18612 19926\n1519 10406\n14388 15771\n12463 16892\n8743 10525\n13606 14447\n8113 14865\n1500 4403\n16544 19558\n3148 16297\n15156 19698\n8912 18220\n4667 16669\n6801 8753\n12135 17949\n1416 15907\n15884 17597\n5450 14975\n1254 5294\n7165 19285\n285 9822\n4077 14469\n8146 10986\n2605 6959\n5285 8909\n6040 15868\n8768 12428\n14374 18862\n3252 9417\n205 18688\n5826 18525\n2216 5742\n4277 9640\n1449 19630\n6297 19451\n2340 16924\n2631 7139\n8923 19240\n2742 11830\n11432 18905\n14983 17186\n4433 8463\n497 16685\n10874 11593\n1223 13566\n7408 10409\n4996 15966\n1516 11637\n15436 15894\n2038 2900\n5429 7257\n2226 8665\n2645 15647\n4162 6718\n7060 11809\n13291 18587\n15145 16825\n63 4063\n5662 15599\n16186 19389\n2914 12771\n11633 14954\n18468 19168\n2143 20281\n6024 6541\n4528 5678\n7116 19930\n10773 13755\n9481 10780\n8933 19766\n3804 12320\n6212 7473\n6034 20101\n3534 6343\n12274 19719\n5218 7983\n4047 7940\n3380 17096\n8762 11248\n7368 10045\n2215 6159\n10360 12148\n7300 12719\n8407 12095\n3376 13283\n822 8666\n2025 15508\n12035 12800\n9285 12419\n101 10432\n3546 14774\n10042 13085\n5161 16487\n6000 16066\n2300 12676\n6454 18084\n28 5768\n8462 15255\n9985 10950\n6114 6941\n1670 13555\n982 8889\n1489 1794\n10705 16956\n1143 16839\n8887 19924\n8939 16405\n3878 10564\n2671 14955\n4407 5052\n3637 17317\n9001 12162\n3278 5531\n10377 14714\n5774 6538\n11994 18535\n1016 13066\n7903 14151\n1168 14173\n1180 13141\n18874 20035\n3354 6170\n12486 15574\n12232 14604\n7312 13345\n2068 19434\n13556 15215\n14113 19146\n455 6991\n2246 16251\n384 13002\n15622 18716\n2733 14854\n11256 16947\n10292 16580\n2735 12761\n14276 14890\n6799 10569\n1127 19466\n285 14605\n1979 11539\n10150 12946\n1885 9377\n13531 20269\n7550 19681\n10489 12490\n498 6171\n846 9317\n1927 19773\n4160 12174\n4346 12044\n5253 13019\n7666 14501\n6333 17356\n9665 16594\n6454 16569\n325 20042\n7308 19386\n14101 14562\n5410 5735\n4576 5490\n2327 12727\n18060 19639\n10167 16816\n14910 16265\n535 4248\n5460 9466\n12244 16414\n894 20123\n6796 13062\n883 10252\n6471 18260\n2743 10471\n7885 16141\n15485 15965\n136 9865\n9250 11493\n7765 15594\n16660 17687\n2153 9207\n213 5261\n9149 10486\n9939 10629\n13322 18643\n5629 6156\n474 18719\n4120 6836\n4134 7812\n11186 16012\n8394 17411\n14432 19922\n6395 8523\n5144 11011\n4765 15924\n15489 16116\n16114 16131\n8564 14399\n11368 15737\n2392 3199\n4806 10129\n5038 18918\n12799 19110\n1087 13924\n12383 19999\n10890 15733\n2100 3110\n5571 14743\n6228 16468\n15646 16082\n8522 20095\n6117 10838\n3128 12174\n11058 19710\n401 9759\n16123 20059\n5262 16987\n8573 13548\n14195 19910\n11309 12260\n912 17586\n10890 13864\n4690 8446\n9708 19097\n8708 15509\n16513 19217\n7660 16455\n7603 15166\n1900 3610\n10329 17833\n5457 12239\n9507 14750\n670 5314\n4483 18719\n14081 20046\n6920 18084\n4288 9032\n14297 18180\n1401 14495\n969 10223\n557 4811\n16510 19042\n6634 19800\n9931 16291\n9632 12624\n11370 18105\n4503 7940\n1319 5337\n3904 6924\n5765 8785\n4106 18176\n6235 15129\n3230 9290\n12939 14320\n2 11583\n7992 16933\n7864 19757\n376 1856\n5200 7481\n9123 18110\n964 19800\n12445 18323\n6368 19427\n8797 19949\n3959 10544\n5475 11679\n14061 18633\n3623 17520\n464 3692\n9358 20020\n796 6846\n3598 18021\n7321 7968\n1247 18218\n3731 5168\n11109 19898\n12270 17296\n1454 15120\n2214 7135\n516 1027\n525 13621\n2164 7445\n6912 13208\n8643 19399\n8557 14130\n10678 13918\n4535 11118\n3240 5060\n11293 17878\n11632 15941\n17694 19977\n2222 16628\n5742 6459\n6439 14848\n9724 18335\n3649 17862\n1362 13277\n1318 7485\n524 4186\n9245 14507\n5330 14085\n1214 17696\n2832 18929\n13965 15471\n8220 15615\n7839 10406\n869 12827\n3419 15540\n870 5329\n9104 11051\n14648 16851\n13386 14788\n17301 19487\n3056 15041\n6024 18690\n6913 16396\n6293 10881\n3550 5942\n2195 7162\n16465 18080\n3216 14554\n13220 17205\n5372 12292\n825 3434\n10806 18072\n14832 15629\n3690 12815\n9333 19786\n2026 7581\n10323 19176\n10621 19496\n12993 13575\n6240 11333\n925 15964\n16031 20192\n9221 13785\n4836 17517\n859 15688\n10911 14551\n1410 17073\n6376 12988\n14375 18841\n4440 14451\n8803 13148\n7470 8182\n7399 7855\n1378 19573\n13858 18585\n12699 13724\n10233 14498\n13124 14232\n1021 9647\n2555 5327\n3465 7473\n5826 16382\n2143 13287\n16787 18650\n5195 10722\n5917 15721\n1565 6934\n1961 8657\n5718 14301\n4013 15151\n15496 19058\n8037 9268\n2053 13700\n2421 8547\n2831 8089\n9075 9321\n5587 8032\n3601 8234\n8960 11758\n4353 16851\n6358 13035\n11429 13580\n8526 13829\n8312 9933\n7823 13644\n3457 11466\n13007 19261\n15106 17002\n11992 15678\n1740 12464\n3178 4850\n3292 14930\n9597 10089\n17988 19976\n6072 18774\n1295 12879\n6917 14305\n7019 8103\n2608 18794\n3714 7018\n7436 20190\n665 6716\n5584 11546\n3862 5781\n11244 15381\n2297 6392\n2820 13686\n1319 16470\n1127 8439\n2214 12038\n4333 9783\n8882 11297\n12794 16674\n2002 3705\n5469 17053\n2317 15142\n3846 5097\n8876 17831\n3864 17243\n8320 10806\n13543 19934\n21 13744\n1740 8176\n3823 10568\n7522 20270\n14179 18702\n2055 8701\n1607 2818\n4173 15153\n5383 11095\n2667 17631\n4409 18759\n15881 17327\n7813 15932\n10078 14868\n8328 15948\n15089 16990\n4631 9331\n5785 19698\n605 2102\n9592 14710\n3733 17704\n181 17130\n85 8196\n6266 8402\n10745 15992\n15604 17729\n2031 4310\n10816 17257\n17679 18589\n10378 12431\n1849 18882\n4944 12809\n3470 19213\n14013 19542\n2457 17284\n17837 18770\n3176 3461\n9166 18365\n8012 15840\n1484 1736\n4481 18514\n9591 11602\n6350 19243\n13697 14212\n12547 19883\n13189 18401\n10376 12463\n3457 4556\n19197 19755\n6370 7254\n475 5573\n13895 17869\n2758 16250\n6357 8523\n6334 14627\n18271 19299\n6218 12934\n5017 18024\n4682 11663\n14820 20092\n2032 14015\n9671 15888\n10025 18346\n222 17477\n1722 20164\n3240 9650\n6797 8648\n2382 17855\n11764 11957\n10103 17709\n5828 20090\n13089 18121\n3327 3365\n6146 14923\n12460 17451\n5162 19317\n2373 10330\n3933 7158\n5024 15929\n5244 13778\n14381 15443\n7367 7630\n10064 12957\n3582 11938\n2614 9176\n5110 18619\n9831 13496\n1037 3253\n10352 19341\n7558 19217\n1202 18125\n2038 19550\n14515 14928\n5077 19047\n5930 9041\n3165 10721\n3477 11426\n7984 13501\n1501 3150\n3690 13639\n9168 15527\n10116 19200\n6488 7971\n5272 11017\n7267 8719\n2448 17374\n7283 8987\n1992 5782\n402 14584\n10956 18782\n5449 17012\n3019 13745\n12781 15370\n13661 13942\n2276 14590\n289 1048\n1472 13859\n1613 6533\n197 13852\n2124 9835\n2804 3430\n10996 19114\n6704 12537\n11605 18007\n4790 12737\n11869 18736\n8540 19698\n10225 10523\n1799 3319\n2311 17947\n10225 14809\n13373 16211\n4055 10390\n10715 16401\n8884 13272\n2236 13983\n1252 1703\n128 20084\n9171 11557\n5635 16855\n3070 9717\n10145 18637\n3644 13863\n5144 6810\n10677 19782\n4392 8034\n3380 18403\n6739 13887\n9355 11580\n14931 17021\n8184 14415\n13446 14498\n334 3269\n13717 17856\n9204 13001\n13122 17835\n4314 12805\n4931 17810\n577 17379\n9875 19591\n585 11433\n11595 11966\n15460 15945\n3534 16332\n1893 17480\n4392 14012\n5705 7298\n253 17935\n2260 2473\n2690 11990\n10989 15090\n15124 20264\n10870 10981\n4883 17864\n32 3542\n13069 19902\n62 18588\n3250 17750\n9065 11379\n4125 19977\n16132 17137\n4506 11757\n12797 14099\n2076 12017\n5544 18224\n7963 10624\n9407 18303\n9104 17058\n2526 20285\n15292 16917\n4745 7410\n8122 18910\n1008 12590\n8674 10905\n178 10204\n5473 19879\n2916 8091\n2028 11330\n2545 7355\n13239 13455\n1064 5630\n193 19086\n13252 18384\n2370 12000\n1186 17961\n6529 15564\n10336 17163\n2331 3451\n9592 13016\n3738 20129\n1368 19949\n11044 13247\n1868 15554\n6218 18964\n17690 19954\n11265 17399\n6093 6712\n9638 19550\n2572 19718\n8719 13816\n6619 9183\n11882 15171\n2964 11402\n2195 13473\n789 2365\n9658 10182\n1232 14164\n15957 17456\n1572 19310\n11098 16001\n17402 17832\n10320 18988\n7606 7862\n765 17555\n16148 20197\n14606 19620\n16040 16326\n15255 15964\n15729 16307\n12379 19238\n9134 19954\n900 17128\n13732 17144\n12652 14138\n12356 14641\n5596 17688\n713 19757\n12375 14243\n10431 13372\n6063 16944\n4269 10505\n2034 20132\n2713 12392\n7512 20163\n2922 7971\n11690 12368\n2229 17602\n11052 13099\n8353 18844\n4301 15234\n10102 11279\n10393 18040\n7071 19502\n1674 10911\n5070 14565\n6928 20204\n11322 14790\n7317 19325\n2151 18315\n9158 10530\n13379 18748\n9375 12500\n11040 15173\n9987 15084\n9511 10797\n3222 8347\n11538 17592\n2579 3211\n12625 19418\n12046 15856\n4220 8941\n17365 17397\n3184 5015\n12145 14539\n11951 15112\n2994 17764\n3056 18491\n7745 17829\n16406 19460\n5428 8945\n8712 8960\n2350 6855\n18074 19790\n4409 16310\n622 19185\n3480 11537\n213 12282\n1339 2891\n3495 4032\n1221 16747\n16601 19814\n2503 16072\n15471 17025\n4925 5803\n2358 4048\n14514 18150\n4983 15760\n3528 14603\n2260 4213\n11943 19680\n8778 10382\n12942 18898\n4899 8550\n1915 2381\n122 19946\n4718 15957\n5756 18442\n9511 14887\n1912 9760\n630 3770\n9540 14386\n14899 17372\n4186 18506\n11596 16014\n288 7252\n1094 16398\n3686 16992\n578 9637\n5356 9635\n8419 9856\n7816 7975\n10650 12656\n6589 9413\n6504 15867\n5603 19917\n1804 7591\n13607 16083\n734 10152\n1669 1822\n18442 19626\n709 11856\n6580 15474\n1773 15128\n472 15683\n17540 18042\n2710 7392\n2224 5830\n6935 19209\n13558 15394\n1672 2186\n18765 19345\n1422 15692\n3037 11060\n10632 14354\n1981 11669\n2076 4498\n14857 15931\n6522 18112\n4006 13157\n12515 17935\n197 19221\n1752 2191\n2687 15649\n7583 15721\n10769 17709\n125 14804\n3987 10491\n10707 13926\n5197 18766\n3960 18905\n3775 16188\n136 1837\n14949 15626\n10810 17174\n431 7386\n464 16585\n1090 15899\n2822 10875\n8135 17607\n12453 14508\n8969 16156\n360 16290\n18275 19972\n4770 6491\n6955 14232\n1463 16273\n7019 9182\n8816 14041\n1434 20289\n1919 16850\n931 2839\n496 17977\n4490 14030\n2880 8328\n6834 12164\n11039 17780\n7208 8722\n11795 12008\n17530 18821\n662 2400\n4734 13041\n7075 15989\n59 13098\n6107 18215\n2296 19433\n3925 4879\n4553 7788\n13835 15090\n5132 7555\n11466 11990\n7105 16925\n15362 20258\n11868 13065\n5549 18009\n8351 10732\n13643 17852\n9157 14126\n8083 11538\n6219 17895\n3516 6302\n33 16133\n5395 11509\n848 2489\n13634 19236\n4920 6458\n10968 20033\n10409 12766\n6017 14297\n2801 11080\n7084 9939\n10836 14588\n15985 17549\n11610 14464\n4186 17965\n6740 9601\n1689 7560\n1750 13794\n3351 12137\n16887 18060\n1976 11328\n8219 10740\n452 14293\n1620 19848\n7672 13143\n7374 15372\n3061 3208\n11715 13287\n9082 15551\n10215 16583\n11615 19477\n5080 12486\n7736 9581\n1921 8875\n1666 12771\n5701 6255\n2491 4779\n14107 14228\n4095 7468\n3774 13949\n10973 19146\n4856 16126\n4139 11766\n2917 17742\n337 4905\n7349 20155\n8152 10657\n2389 19178\n2780 8766\n3873 9806\n1343 13665\n12820 16013\n5233 15675\n10966 11183\n18855 19804\n18337 19242\n1390 9364\n10131 11208\n402 6002\n7461 12374\n3914 16901\n2190 7876\n12252 14156\n10326 17051\n62 4431\n11745 12078\n8934 13322\n14690 15960\n498 7484\n1894 12369\n5001 14222\n437 15031\n13651 15891\n4007 18795\n16152 16185\n9050 11903\n8648 17139\n16215 20133\n7605 14948\n13666 14759\n11746 18626\n4236 10233\n12141 16239\n5464 8977\n7719 9575\n12207 16050\n11953 12432\n3165 10901\n4076 14780\n9227 10920\n6493 10724\n8115 11917\n14558 20216\n8153 13715\n5921 17066\n8044 11751\n8026 18406\n8125 13857\n7308 19426\n6682 12446\n78 9517\n9335 11028\n2573 13870\n4165 15687\n10906 17243\n16846 20065\n2879 14316\n346 13864\n1121 12978\n6021 14174\n13066 17612\n785 7672\n1609 15511\n610 1178\n11682 12827\n306 10474\n1091 15751\n2704 12487\n4449 18616\n2359 3311\n8140 13583\n6074 19669\n8705 14579\n1934 4844\n3672 13035\n1171 18105\n708 16171\n987 7085\n13311 14190\n4800 15006\n3243 10796\n1751 8233\n6044 19769\n2769 8324\n9079 10245\n144 12930\n11170 14915\n6723 9566\n258 2200\n14501 18699\n7233 17049\n6195 15424\n1877 15254\n3840 11749\n18361 19084\n4376 10935\n2659 16004\n18186 19211\n7661 11359\n1128 4104\n7636 19567\n10430 14418\n13207 16853\n4987 16849\n14706 16360\n2059 11629\n2389 3037\n5383 12030\n10489 15976\n3182 7665\n5153 7136\n13945 17613\n4098 9926\n4388 16316\n11502 12881\n5141 12453\n3054 5197\n13665 15729\n7829 8765\n5756 7747\n5438 16213\n194 4418\n8693 12512\n1317 6095\n11905 16324\n169 8564\n6075 17957\n215 7413\n7290 11856\n5299 9710\n7143 18682\n10906 19702\n6334 8070\n4087 14249\n1781 19923\n4501 11466\n732 8643\n16508 16811\n16793 19140\n6918 12836\n1005 12142\n12496 18373\n9989 12489\n6497 9199\n9562 13315\n8021 12727\n2753 13388\n16225 18473\n9377 14006\n12525 18877\n3745 17252\n1889 18658\n4321 12442\n11010 16816\n8951 9906\n184 9826\n15305 16500\n8803 15210\n5227 16767\n953 2096\n10172 18717\n6223 16679\n13807 17532\n4830 5041\n832 12265\n5334 7171\n5845 14538\n9569 14852\n8186 10797\n2214 11564\n6353 10453\n8277 13633\n11686 12795\n6785 11802\n11895 17085\n3361 9372\n3239 12697\n9456 17826\n4339 5810\n5189 15846\n9966 15930\n8633 15549\n16934 17014\n10078 16873\n2391 19500\n4882 9244\n3442 18117\n13415 16537\n8775 17742\n740 20176\n13570 19177\n7281 11024\n865 8989\n331 2350\n1358 1537\n11292 16332\n3197 8058\n2529 17988\n13089 15211\n6893 8483\n3998 15400\n1554 15866\n1561 4863\n9550 12772\n4020 16986\n8877 13918\n3961 5457\n9494 15215\n5242 6218\n12153 16927\n13708 16990\n5510 10865\n14529 20157\n273 3270\n12400 19402\n17627 18232\n14952 19874\n11750 16981\n11059 11546\n12471 12541\n12816 18793\n10581 12093\n11965 17945\n2357 5180\n3539 9381\n8886 11720\n10197 14611\n5869 16964\n5543 7451\n3157 9929\n1321 11670\n10841 16992\n11482 14933\n2389 11669\n16284 18238\n3290 10445\n1669 6469\n7793 8473\n9392 13772\n2158 6523\n8028 12761\n6346 8198\n9275 20124\n6623 7237\n80 1102\n2536 4193\n177 12170\n7918 10831\n12670 16415\n10326 17123\n3298 16002\n5061 16079\n10610 15303\n4140 7106\n5067 15133\n225 10487\n14419 14708\n398 9333\n5004 17719\n7573 15763\n716 19962\n3561 9117\n11061 14127\n5059 14363\n5274 11402\n727 13723\n1501 3084\n6474 17299\n1716 2573\n13878 14270\n2959 12493\n1949 10405\n9066 19947\n5134 11392\n11013 16853\n8292 15333\n1193 18552\n7404 19650\n2003 15584\n9601 17713\n7511 13618\n1574 12956\n8831 13162\n17155 19051\n5645 19851\n1820 12866\n2821 14449\n6787 12761\n3169 3774\n5531 16645\n2117 2438\n4174 16197\n10410 18436\n1874 12165\n8153 17692\n7737 12612\n1141 7117\n2417 3557\n44 12178\n1705 6248\n11186 11432\n6827 9351\n508 18370\n6599 13561\n5648 16450\n4568 17311\n10248 18607\n3721 7117\n13799 17087\n3521 9724\n98 6336\n15162 15848\n982 4928\n10388 10641\n19640 19986\n2812 14006\n4024 18277\n3954 19985\n5442 17611\n9657 20166\n488 5390\n15858 17217\n8899 12631\n6649 10433\n4205 11436\n1836 2811\n5145 14229\n1634 13807\n14963 15383\n8020 8556\n533 11238\n7529 14087\n1352 9018\n3153 9220\n10043 14531\n2391 19940\n10621 19173\n4857 6071\n310 15948\n4320 4542\n10955 14282\n3401 17570\n10088 11926\n1373 15287\n9736 11516\n3178 20219\n6834 19619\n1970 15199\n1195 10336\n1804 17987\n1988 13902\n3220 17712\n3799 9276\n3116 15419\n14849 15988\n2237 16093\n11622 17828\n5010 18788\n1239 19246\n2358 7617\n14535 18376\n1966 5001\n15988 17771\n311 18258\n7236 18917\n4663 14692\n8483 19972\n11110 16075\n14182 18688\n3362 18534\n9313 16714\n694 14557\n6875 18468\n15309 15520\n11445 14990\n1470 9156\n9873 10036\n4319 19382\n11920 16608\n12610 13582\n10579 13328\n4337 19720\n7750 13463\n14353 17991\n2308 5175\n16878 17094\n14223 17799\n4841 17260\n3797 5307\n5720 15270\n7352 9183\n14427 18245\n1204 19482\n15360 15770\n2733 10373\n8698 19360\n7477 15015\n2505 10431\n5057 7475\n361 2129\n1230 18092\n9822 16226\n8507 12406\n6927 9574\n4841 13713\n407 15923\n9379 18733\n8599 12333\n5518 16210\n3259 4768\n381 12756\n12029 17243\n4456 12825\n5725 10955\n1029 16347\n1693 12213\n3244 18843\n2885 3275\n2677 17967\n6560 13625\n7888 19241\n3422 17558\n12785 18366\n10810 13357\n12589 19070\n4899 16463\n786 8539\n2851 14350\n5488 14765\n2472 15948\n8284 11015\n94 4585\n9834 10454\n17394 19911\n1685 9694\n6078 12561\n10362 14137\n4956 5904\n9138 12957\n3603 13661\n7370 17066\n5217 5502\n15428 20231\n4548 11426\n687 11131\n10426 12922\n745 6215\n10229 19047\n11318 15434\n5579 20073\n5515 17846\n4952 5810\n8576 8977\n14646 20102\n5138 13277\n5839 7418\n4678 5694\n842 13179\n3932 7307\n5132 5822\n4692 20099\n212 13684\n13513 14395\n4209 4797\n7395 19772\n5630 19362\n6535 16498\n400 12870\n3427 16255\n8531 20280\n10997 20279\n4774 8896\n9209 13099\n6913 15581\n7256 8788\n13754 13973\n2451 9593\n3837 6016\n658 17288\n9396 15217\n14176 19208\n1470 2056\n11984 20262\n9840 19187\n5709 12167\n4347 19933\n11022 14271\n4804 19321\n5404 19197\n7977 15781\n7143 7162\n18468 19029\n5580 12460\n10350 16982\n13999 15545\n3943 17404\n12889 18101\n4877 12814\n15164 16076\n740 14624\n1778 15335\n3299 11383\n1693 19813\n6270 11383\n4352 5141\n3852 14502\n5206 19448\n4903 17010\n3920 8414\n10024 15017\n1905 13007\n16408 19621\n2874 5547\n7778 18074\n13454 17393\n13022 13938\n1523 11356\n2126 11935\n16070 19900\n9587 13709\n12133 12603\n2560 10601\n7504 19740\n8094 9789\n4111 5272\n1206 2631\n1428 8501\n9520 17050\n2192 10796\n9571 10636\n6202 17312\n3200 10887\n666 5624\n1649 10090\n3197 15729\n2322 7366\n9192 14798\n15362 17867\n565 15806\n2061 14225\n15561 16402\n2110 16431\n7078 12232\n3351 8877\n6402 10429\n8413 13292\n4973 15401\n11491 18638\n14433 15500\n8304 11038\n19521 19681\n982 16006\n3200 13081\n2097 16770\n4696 6938\n9519 15567\n6955 9047\n690 16877\n18454 18601\n3161 5413\n2061 3000\n16315 19065\n1430 3528\n3647 19934\n10891 16033\n10917 19756\n6548 8864\n2989 9478\n7523 9072\n5457 7865\n5243 13023\n5518 5524\n5643 19028\n1796 14669\n609 15471\n16285 17300\n6637 13530\n5479 18035\n9006 9922\n12880 19393\n2836 15412\n9097 12268\n12543 14012\n6552 13245\n3683 8758\n15234 19783\n1646 9301\n4267 18740\n743 4277\n1679 4925\n1399 13511\n8716 19721\n2536 15007\n8213 17067\n6278 14678\n2089 7238\n8440 14039\n3971 5787\n1553 9075\n5770 18341\n484 19181\n696 8979\n728 18747\n7746 13416\n12675 16312\n127 17883\n4391 20071\n1739 16905\n659 8067\n14374 18529\n8287 9060\n389 11203\n7584 12534\n8135 19317\n2188 15286\n9398 12892\n13039 16754\n10753 11044\n238 3689\n8103 10708\n2352 9216\n7115 20146\n4883 17721\n3987 4243\n555 6635\n13806 18020\n11428 15170\n355 16967\n8334 12227\n2056 15748\n9461 9694\n15224 15619\n5481 20156\n17603 20087\n5015 19829\n8368 13893\n2580 14055\n3108 16238\n2567 7333\n10638 16757\n4676 12235\n7299 16975\n15667 15822\n3703 16446\n4469 18187\n8138 14766\n3617 9797\n1271 8956\n6429 7447\n6454 7283\n8001 12022\n2145 13821\n6400 12190\n9937 15003\n2499 3096\n17310 17572\n3670 14158\n13741 14285\n6751 13666\n6377 9491\n5034 18752\n6796 9227\n14750 16516\n17063 17372\n1927 17799\n6700 6862\n15383 20114\n7975 9853\n13979 19292\n8417 13049\n16957 17872\n8213 9231\n53 1617\n11240 18526\n4159 16839\n8433 11855\n6139 10319\n12179 20229\n3 16120\n6968 10985\n7341 19739\n7739 19252\n5561 12641\n5212 15210\n3877 17957\n5801 9998\n7007 18673\n1283 2227\n11510 13504\n2394 6737\n6655 10452\n8866 9444\n13816 16958\n2530 12690\n10368 11060\n1891 18209\n1388 10308\n7950 8777\n9825 13202\n3206 14749\n9413 12606\n5376 17030\n6707 16168\n12148 14570\n3593 12586\n980 7571\n1906 14343\n10846 17862\n1767 6690\n661 8201\n3007 8049\n9869 16844\n2016 4016\n6182 19486\n2600 3592\n4675 7880\n16004 17284\n1733 12765\n8477 16026\n12312 12918\n6054 10646\n6914 7445\n7319 14142\n5141 6670\n7700 19916\n2461 16615\n14439 18154\n1942 14420\n11055 18474\n5321 7657\n15346 19563\n3691 15224\n8896 19288\n3054 13809\n9461 11942\n207 1653\n6624 18757\n6776 10526\n2327 5233\n2139 4092\n1343 2278\n206 7015\n62 9589\n2119 4972\n6105 8378\n11189 16649\n7087 14607\n697 16400\n1566 3972\n2002 17403\n2937 17789\n1412 20205\n9112 16139\n4390 10639\n10828 16620\n1068 6795\n5624 18086\n2815 5027\n2538 6592\n17397 18205\n6383 10966\n3450 4308\n4702 14089\n7300 19631\n1167 5718\n11199 14845\n2978 6878\n13241 15594\n8638 20187\n7862 19587\n6545 16383\n2814 14097\n3636 10821\n535 1360\n1873 11470\n10933 15272\n9956 18789\n1723 10530\n3441 15541\n14409 19758\n2348 5734\n328 1439\n796 9476\n7179 18748\n12376 14770\n9295 13893\n10164 17489\n1710 5474\n5881 7964\n8219 14592\n6353 19672\n13536 16226\n2806 10460\n10087 13975\n2081 19642\n14008 19300\n12017 14482\n10943 19467\n6379 7970\n646 7534\n3034 19107\n12482 19188\n1530 4607\n7272 11878\n16567 18595\n3915 19237\n743 20128\n2365 9817\n4342 10321\n19864 20116\n6576 19361\n5940 20255\n14018 19302\n7861 15475\n1725 15917\n11749 12331\n8090 17941\n1694 13981\n9217 14205\n8068 10614\n4362 18507\n2712 3449\n10957 17204\n12725 16157\n5805 15141\n4182 11915\n5366 17945\n10982 18027\n4284 7808\n6155 16109\n3128 16847\n13 17617\n9581 16257\n741 12987\n1264 2193\n168 11900\n1444 19449\n12230 16353\n71 2550\n8622 14913\n8323 17123\n2657 17028\n3677 5354\n8726 16125\n15022 17735\n8449 19186\n16565 18249\n14759 20068\n2538 13747\n1258 11833\n4194 16613\n3190 17069\n15442 18632\n8328 15149\n10992 19429\n2775 13807\n11871 12119\n15851 17119\n10384 18144\n18652 19509\n5256 13962\n9203 19860\n13045 14047\n13418 14860\n15341 19860\n3588 10543\n5524 16210\n3807 8167\n14123 14891\n1450 14103\n10031 17683\n8706 19383\n67 14495\n2039 11146\n16042 17569\n4273 11795\n38 3215\n7183 13171\n11933 14587\n13943 16205\n70 17893\n7017 16524\n118 17211\n6416 6608\n4516 7178\n4530 10198\n3441 20239\n7871 10128\n7174 12277\n13888 16116\n2202 4455\n10831 14183\n9504 19750\n15441 17724\n3118 4255\n3676 7375\n5855 16858\n13507 20021\n7893 14576\n2811 5778\n14462 15907\n5217 15852\n4311 13061\n7024 14374\n5439 10107\n3141 7156\n3960 7500\n11560 16576\n2127 8497\n6489 13558\n7956 14520\n12944 15777\n1718 18602\n10915 11031\n7054 7773\n6116 18394\n2916 10664\n7657 14046\n2782 13344\n8599 11463\n2246 9059\n2802 14434\n244 5496\n3454 10984\n2677 7750\n4393 14179\n3773 12235\n388 14537\n3370 16678\n2449 7349\n10469 17376\n12473 16368\n8040 9384\n5198 6941\n2203 11712\n2801 9666\n776 16953\n7585 9976\n11672 11725\n1597 13723\n4699 15613\n1107 11749\n414 16993\n401 17102\n5554 15009\n3819 18876\n5439 15929\n4229 19546\n12272 15341\n1074 13848\n10949 18081\n13920 15515\n12214 15290\n13810 14822\n1149 18785\n19083 19803\n5566 8412\n11410 19852\n14594 17163\n4514 13564\n4093 18995\n2815 17007\n5734 10991\n13451 19145\n2361 17864\n3871 10189\n16389 17222\n2225 4416\n742 4410\n4235 17537\n3737 8060\n918 14933\n3536 4865\n17320 18663\n2049 7243\n9413 11751\n1944 2273\n6206 9941\n1149 11894\n6564 6826\n2068 14617\n72 17036\n3242 12987\n13664 16381\n2780 5590\n11093 11995\n103 5531\n1044 14073\n1782 13076\n2007 19192\n8534 14300\n719 8539\n11518 16553\n11306 17236\n4679 17132\n14199 16767\n14826 19903\n6673 13986\n1072 15016\n3965 11895\n8372 12273\n8356 19224\n10987 17942\n187 16683\n16431 18565\n5648 13508\n4580 5563\n4851 19453\n585 13279\n4074 5980\n4998 8351\n7260 17307\n3794 9641\n4636 15302\n627 9428\n10432 11406\n14703 16414\n13318 13994\n5049 12380\n259 10934\n8604 17347\n9917 10850\n4547 10498\n14495 15891\n1185 15758\n11606 19428\n8488 20281\n2999 5853\n14056 15895\n15539 19638\n12363 14875\n2090 6971\n7835 12797\n8932 9536\n963 12787\n2215 15885\n379 16135\n10393 17485\n15594 17606\n15658 15838\n6917 16599\n4812 11442\n3116 18020\n5276 9186\n4328 6853\n1485 4952\n2770 5770\n3184 6362\n11277 16682\n6593 15072\n8633 16722\n11965 15014\n9663 10602\n13397 19324\n8572 9646\n3186 4626\n1542 3742\n5934 17980\n17353 18565\n13653 16380\n1484 13455\n2042 9988\n1802 14259\n15765 16189\n1812 18229\n929 10696\n7872 16580\n7740 14493\n10032 14672\n9136 10558\n38 18202\n3140 6387\n10660 13806\n2975 17910\n11220 13537\n21 18003\n6421 9566\n2368 8612\n3767 7598\n5830 11117\n1750 4251\n5305 8765\n8110 18215\n1519 7212\n2625 11380\n8750 16593\n6107 6193\n12584 12648\n153 254\n5780 14138\n7258 15282\n13465 18202\n7837 19171\n5198 13643\n10192 19347\n229 3370\n12630 13232\n12677 13335\n10034 11487\n4324 18454\n374 10799\n2190 15827\n19826 19877\n5936 17019\n12552 16332\n1896 19462\n8198 9680\n10788 17275\n6776 14578\n3152 4750\n1927 11776\n1070 11387\n4605 8975\n4823 7070\n610 10842\n3238 12775\n2195 7486\n8312 12270\n17714 18660\n3623 16846\n2894 16924\n12947 18019\n11680 14605\n4431 12005\n1402 13275\n3778 11497\n9436 12172\n3065 19646\n6437 10607\n17040 19819\n7390 11165\n13508 16304\n12838 15360\n14031 15168\n5057 5141\n8095 15227\n10113 17495\n9197 15527\n10043 10306\n3606 15006\n8533 18141\n17151 18117\n518 5187\n4504 17584\n7770 8734\n14214 20065\n18679 18936\n3643 8595\n12997 16772\n2285 8694\n1225 15416\n8189 10456\n2907 3103\n1187 10316\n4566 11266\n9152 15718\n3825 17337\n4121 16885\n5729 17250\n934 995\n1769 9404\n206 1871\n4697 14484\n14881 19863\n7114 15164\n5985 9958\n4605 14602\n254 17815\n8067 18283\n3007 10605\n1213 14610\n1111 15256\n10335 17690\n6713 19819\n111 20111\n5601 9713\n13239 19190\n4387 9681\n3493 15904\n10525 13711\n3849 5089\n11438 12439\n8517 16240\n3287 4970\n17896 18399\n11696 16401\n744 4957\n5214 8832\n5524 5614\n6264 15653\n3760 5137\n3905 13456\n17180 18035\n11284 17008\n1627 7387\n4011 9386\n12121 19090\n9077 9703\n8296 16057\n706 14798\n4575 11704\n3327 13733\n13416 17237\n9042 15595\n2658 10526\n2549 11785\n9859 14494\n5398 18494\n3892 14453\n9630 12423\n10156 19857\n2361 6592\n6659 10404\n14324 20234\n5292 16450\n18055 18385\n6776 6976\n4563 13434\n2826 14653\n15618 17357\n706 17651\n10808 16945\n1504 4011\n8483 16353\n7466 12749\n8560 12383\n8323 11797\n8163 10106\n9110 11168\n11711 18534\n9024 15729\n9618 20049\n4220 18501\n6325 19272\n3148 10558\n16585 17303\n2386 12572\n3603 11480\n11557 14164\n12500 17769\n3931 12913\n13656 19338\n6566 14973\n4136 19585\n1757 2157\n6397 19244\n3686 18184\n17123 17706\n19098 19965\n6607 6760\n5543 16475\n6054 9383\n10432 20254\n2846 20111\n2609 11862\n6674 16833\n2452 18891\n6362 12079\n7944 9301\n13704 15228\n8725 16270\n16376 17741\n715 19784\n113 10209\n16760 19101\n6611 18178\n15973 20027\n8013 12780\n788 9471\n3632 8079\n1633 14638\n8775 15605\n9570 15469\n5270 19646\n15572 18293\n8972 11234\n1234 16274\n3108 18612\n10805 11816\n1405 7249\n8776 11335\n2632 3060\n8160 14088\n12987 19261\n6640 15948\n11374 13319\n5 7326\n7837 19743\n9116 12778\n8294 14539\n2166 7414\n7839 17322\n2446 18973\n3765 14898\n7420 8767\n3316 12330\n16223 16677\n17270 20282\n9435 17659\n3145 10141\n5095 19897\n1393 15783\n14149 15364\n14029 19377\n4845 19048\n8757 10197\n2794 17561\n5900 17005\n2674 19317\n610 5948\n5104 18003\n1405 14518\n11712 14429\n2031 9987\n10515 13187\n566 17831\n10125 19938\n798 10247\n7571 17536\n12378 18517\n3015 6258\n9030 13574\n6431 13094\n15006 20190\n10013 11269\n10203 14104\n732 9563\n13603 15198\n5898 14187\n11805 18157\n9554 18218\n611 16925\n2724 16363\n7048 13734\n7168 20258\n11184 11933\n4801 7030\n13844 16943\n8209 13900\n3954 15470\n6516 6741\n5627 12002\n5373 12387\n550 18290\n6710 16393\n2466 13449\n10324 16420\n11545 12504\n3609 11139\n8242 17597\n9248 19303\n5735 17851\n13324 18363\n2425 3501\n2306 17739\n4773 7536\n4121 18828\n11961 19750\n1481 15081\n4914 16785\n3945 13248\n4564 7840\n8884 14466\n3196 9945\n9699 11881\n9142 20087\n13403 16606\n12853 17241\n3525 12011\n2164 11888\n3876 19648\n2414 5115\n1552 7976\n2691 19267\n8823 19355\n7046 8301\n10704 15493\n4343 4800\n6228 18215\n1241 16328\n606 15989\n7667 14450\n207 9883\n3075 17676\n10340 14654\n6872 7850\n1502 14745\n9886 12720\n1640 14757\n8441 13316\n11410 15758\n3488 6024\n3734 14789\n107 19649\n15615 18356\n1097 15521\n287 17318\n6275 15074\n4955 11093\n12796 14974\n7180 19533\n6708 15787\n9682 13850\n1494 7680\n13269 13779\n1933 5164\n11340 17463\n14682 16897\n5429 14730\n10212 18334\n3706 17137\n1036 1753\n14712 15956\n7053 11721\n7537 15870\n8229 8736\n4449 7574\n11493 15234\n3140 15518\n4259 6912\n3243 4365\n614 19027\n1138 13859\n1339 1432\n10505 11370\n1435 17607\n3180 17014\n17631 18332\n724 17952\n10558 15297\n4998 10396\n3039 9729\n9201 16732\n37 1145\n2650 19140\n965 3995\n5627 14878\n2829 4391\n5614 11737\n4694 15482\n829 6189\n11301 17123\n1228 7019\n12647 14762\n1577 4433\n4423 16397\n48 14452\n17252 18737\n6557 14111\n17933 20130\n3351 19816\n7158 13928\n10759 17130\n13273 14619\n10355 12982\n18000 19079\n587 16620\n14825 17305\n7305 15469\n15684 17995\n14045 14645\n1018 14015\n4711 12966\n16901 20015\n9598 19734\n14337 16542\n10300 15539\n12824 16321\n9136 13917\n5239 15210\n175 9347\n12075 18017\n3693 12637\n869 10462\n3557 8592\n19492 19683\n11443 13617\n3713 4567\n10119 18834\n10526 10586\n4066 12578\n5878 10144\n1056 1326\n14183 15807\n14810 17522\n4444 13927\n8110 17930\n8576 9899\n4415 17017\n7878 17468\n14063 14625\n8042 10340\n5042 12051\n8043 10303\n800 7218\n6046 9405\n11988 19306\n7102 18883\n10854 12496\n9243 16030\n8021 9962\n2014 4545\n11560 16224\n3522 7843\n6901 17523\n398 14459\n5090 14162\n786 9636\n8382 12973\n1259 4246\n20111 20218\n4832 19677\n6775 14985\n1029 10022\n12104 18720\n11236 19041\n11176 14183\n7824 18233\n7955 13820\n5214 17751\n10203 14975\n12444 15042\n76 3032\n5686 19459\n3743 12154\n4544 5642\n9391 16349\n274 6060\n11156 16199\n3934 14429\n14167 14587\n3348 12248\n5638 18602\n6464 11842\n6983 17441\n8571 13731\n7811 14005\n9986 17744\n5537 12230\n11896 12957\n13827 16434\n10052 15731\n3052 7349\n3552 15594\n323 18656\n1446 1721\n583 15998\n12545 18783\n5551 15010\n6958 9162\n859 11978\n4324 15629\n11650 13620\n4974 19345\n2424 7413\n1124 15036\n5743 17233\n7590 8111\n271 3581\n9432 16057\n239 8993\n8274 19391\n5140 19450\n6742 12268\n13599 16475\n2230 16311\n6804 10512\n8813 10780\n1072 18539\n2803 8048\n1777 10001\n9690 12666\n13713 14860\n5085 9689\n1973 11052\n3715 13468\n1722 6465\n12801 14299\n10733 18011\n3015 3871\n6116 8612\n11696 17360\n13403 15605\n6556 10305\n8965 10995\n16911 18737\n3830 18684\n709 2735\n11055 16013\n5550 13820\n3672 15263\n12543 19550\n13801 14783\n3369 12472\n216 15065\n17023 19589\n2023 14689\n6171 14286\n1888 5659\n12690 19725\n10045 18219\n5552 10050\n3088 10510\n126 7217\n1151 3844\n129 13755\n7524 10332\n8920 11950\n10467 18974\n4720 5854\n19461 20243\n4852 15214\n15183 19465\n9484 16168\n549 17322\n14676 17833\n11355 12072\n4493 7017\n10404 18987\n4777 13289\n2190 15778\n104 11519\n8078 14255\n14532 16338\n378 17942\n1426 19392\n12015 14735\n4203 11676\n1401 14029\n6890 18231\n16006 19582\n4419 7625\n196 12991\n19445 19610\n1297 13746\n4616 6624\n1204 9393\n7777 17379\n14413 16099\n12130 14108\n6799 10127\n6713 9031\n7343 7418\n4539 12716\n265 17485\n3581 4903\n5040 15058\n2228 15331\n4719 12731\n18288 19416\n15432 15859\n16028 20075\n16613 19658\n2786 13091\n9079 13399\n593 7694\n5705 11608\n462 11004\n2162 11257\n1290 3892\n8227 14065\n16260 19727\n17301 17409\n12083 18577\n10837 18332\n17900 18631\n14304 19527\n4164 11873\n7933 11421\n15562 16872\n3692 5613\n2159 4998\n4296 8529\n949 2497\n9342 11368\n1747 5752\n2521 12776\n6830 8055\n9862 18359\n7589 13795\n10598 19319\n14686 15224\n3216 9817\n6142 7361\n12321 13575\n3500 4610\n11110 19878\n15935 17632\n6588 7359\n8998 10884\n5055 17954\n10981 18694\n634 1706\n7565 13976\n9220 10474\n938 3757\n8172 11281\n5089 9329\n8097 18021\n182 2971\n4112 10396\n8836 19597\n1093 5643\n4871 9204\n2260 4829\n13032 19296\n15267 17919\n9023 19957\n2614 17415\n10589 13224\n2945 12526\n3624 12144\n10342 14037\n11051 17214\n11098 14760\n810 5734\n13346 17147\n11670 20030\n404 8940\n4234 10951\n7207 7719\n7908 10432\n1758 17443\n9875 17300\n13190 16004\n8159 17720\n9872 11030\n1184 16791\n1450 11905\n38 17512\n10362 16593\n1420 19936\n12612 16109\n9405 18179\n1665 7660\n8855 12889\n2914 17537\n7018 16711\n6624 17884\n11250 18601\n401 428\n5267 6742\n15578 19539\n7532 14179\n8854 16635\n6920 11903\n3411 11288\n3566 8736\n3410 4096\n12689 14597\n7131 17912\n2986 16424\n6095 19316\n9748 19263\n11886 12419\n3081 4505\n296 16374\n7125 11416\n3782 19247\n4374 14045\n3970 16487\n12614 18258\n3712 18967\n14491 19927\n7914 8297\n1629 18238\n13285 13765\n10569 17609\n5525 13536\n7953 10435\n5613 14708\n11824 19535\n9182 16795\n16832 19194\n2362 16691\n10025 16152\n5290 9481\n9187 12296\n5866 19109\n8609 16610\n9183 13824\n6946 16040\n1373 18778\n17437 18920\n4974 19281\n3138 6928\n5712 13222\n368 14551\n4106 7149\n14338 18663\n1483 4148\n4469 15057\n1262 6980\n2384 20123\n13926 16217\n1685 15998\n12949 15891\n9771 10977\n2171 15268\n2425 5245\n2715 11537\n16494 20058\n11735 14975\n1677 15053\n126 10292\n7068 9351\n1687 12818\n1042 2732\n2314 10260\n2387 6022\n8803 14165\n7532 9815\n1727 13891\n12669 17536\n4442 15892\n2252 2753\n3235 11367\n4673 9840\n7163 7166\n11867 12097\n10063 17449\n2335 3108\n4715 7072\n12179 13332\n10069 16643\n10137 15340\n3390 17688\n9694 13781\n5001 20189\n8299 15832\n7995 9968\n16804 18349\n7679 10197\n14448 17694\n825 2939\n12023 14607\n7736 14023\n9967 17327\n5460 15260\n12277 19607\n2505 18579\n2241 4773\n2992 9083\n7924 8407\n4203 10279\n2380 2541\n78 3601\n1210 1781\n11386 17384\n534 13532\n4263 14692\n1729 17931\n10704 16826\n12686 16936\n374 3983\n840 4400\n13152 14859\n2749 11989\n9132 11564\n4324 10716\n13726 16066\n7864 10536\n3062 3883\n19623 20012\n15420 18075\n11132 14800\n16194 17913\n9199 17215\n9587 15126\n5562 16882\n2505 4387\n6280 9618\n1014 17659\n2294 13467\n1296 8862\n9814 13188\n3625 9487\n12067 19327\n11136 17657\n5082 14826\n6396 13171\n591 12497\n2007 5569\n8916 14537\n10174 16498\n2672 10074\n1851 7489\n2375 12172\n10624 12858\n10762 18317\n8045 19392\n2664 15079\n10001 19093\n7951 19997\n12147 14825\n3597 5473\n10181 14145\n735 2964\n1704 10003\n3216 7209\n11692 16935\n593 12278\n5152 6265\n9943 18209\n3003 7717\n10464 14808\n4412 4832\n4626 4816\n60 3757\n7000 12536\n3995 15485\n431 7136\n2966 13049\n929 17468\n2361 13836\n6154 19305\n10066 12358\n9393 10730\n1581 13632\n2107 14266\n1047 16722\n1035 3066\n1582 6087\n5714 11953\n5630 14191\n709 2886\n14109 15552\n10047 17247\n4808 9837\n15105 17887\n12942 15459\n1989 9874\n2332 8033\n11395 20279\n10963 12276\n11433 15962\n17120 19550\n2583 6084\n5085 8174\n7506 19721\n1242 10870\n18383 20288\n14773 16638\n2933 9002\n5382 8718\n16262 16488\n569 19695\n811 3290\n13515 16039\n296 18212\n1835 7520\n17226 18031\n1132 13789\n2304 6075\n2993 4027\n4686 17831\n7520 11703\n16356 19909\n5974 15101\n4655 18179\n3824 13419\n1671 19550\n6132 19463\n3678 4901\n204 17477\n3540 16529\n2012 17199\n4064 10400\n5918 11328\n13223 17442\n1905 5633\n2298 4532\n1856 12268\n7545 12473\n3451 13883\n2754 15084\n1817 19186\n5395 10116\n14011 14700\n2135 3338\n14962 15239\n1512 17239\n5042 5060\n4103 7585\n13703 16970\n11556 13821\n1889 16701\n3765 14594\n8044 8394\n1837 13867\n1545 2187\n7820 14554\n1706 5178\n214 3804\n17330 19405\n3683 13150\n1043 14047\n1758 12859\n12607 19172\n9019 18257\n2046 3174\n3677 20110\n881 3511\n10357 18564\n12384 18542\n5236 5709\n3783 19395\n3142 9419\n14678 18481\n4091 16601\n13111 15349\n10799 11748\n16672 16848\n6801 10763\n1195 13745\n1223 15506\n3270 16532\n2867 7284\n10935 12727\n484 11093\n1812 4366\n6258 12761\n6682 15883\n16368 19320\n8844 19989\n1156 10251\n11317 19498\n4561 11315\n3203 7106\n272 10139\n2203 9366\n7968 11119\n13849 14354\n9253 18836\n6899 7082\n1444 18378\n15786 17716\n3732 10302\n5207 19983\n1770 9528\n5360 8138\n13401 16527\n9665 17490\n1659 1953\n1115 11434\n15180 15592\n11309 17725\n12471 18519\n8377 11874\n11658 16211\n4975 9830\n14072 16467\n7475 15175\n5782 18552\n8465 11985\n12727 14699\n10097 15843\n8604 10269\n9331 10758\n5097 6612\n8134 8585\n9216 15242\n16521 16707\n4647 15536\n2883 12501\n7352 19951\n1697 11190\n1380 7175\n12335 16636\n4325 10114\n1453 3951\n5839 8802\n6353 10081\n8687 12014\n11473 12610\n481 2288\n6081 7295\n15645 19669\n9747 18001\n5712 12593\n4319 6230\n6295 18130\n5218 13592\n4175 17752\n12564 13310\n357 6508\n14395 17491\n4005 14162\n8523 13082\n4579 7970\n3188 6404\n928 13749\n976 2677\n7681 12458\n4877 5107\n3005 7589\n6889 13095\n4103 9551\n778 19113\n6763 17967\n5729 13003\n143 11919\n3149 3949\n5063 10082\n1618 15121\n2903 14297\n11493 13456\n4162 5665\n7472 9224\n5318 16270\n12017 12659\n2866 9029\n8223 14919\n4528 17385\n15398 16281\n6766 12115\n1739 20114\n13915 16103\n4257 8424\n2809 5783\n2120 5769\n13835 14402\n2757 9973\n1449 7796\n11948 15233\n5159 14039\n17487 19183\n6245 11413\n6345 18103\n1076 13228\n3825 13368\n9484 15338\n7485 11506\n7711 18429\n13912 15536\n4443 20243\n476 6784\n13771 14049\n3272 6488\n11054 12958\n11907 13979\n7623 9119\n209 15713\n6279 10519\n2056 3596\n13560 18897\n3177 3495\n7783 9464\n108 11124\n14199 16414\n7839 18536\n13811 18558\n2587 9493\n13614 14801\n6143 8436\n12933 15452\n9716 18679\n9111 11056\n10234 18062\n3783 18403\n900 7487\n6538 12366\n16241 18783\n907 15780\n320 17956\n6033 12288\n662 15501\n3024 4088\n161 19056\n12052 16186\n5023 15174\n3101 6636\n3724 11723\n8546 9743\n597 14907\n8209 15118\n12458 17752\n11871 16869\n16637 20037\n12347 12410\n662 16689\n11586 19232\n12922 19207\n12895 13108\n7242 16791\n6315 14450\n10513 17033\n3724 12123\n11609 17271\n1646 12720\n4462 19557\n3540 4787\n13786 18603\n13243 17378\n3127 9864\n2789 11482\n7213 13279\n10355 10915\n5871 12356\n4973 18578\n6019 9908\n9651 20120\n1969 16834\n2050 10465\n5393 9638\n9755 15428\n938 12294\n10103 19568\n1924 2057\n812 2219\n3955 5527\n9386 12937\n2828 12986\n3017 17947\n291 14762\n4078 6134\n16675 18059\n12391 17783\n454 14217\n2120 10907\n2307 4731\n4306 9209\n9934 12757\n4438 8398\n10641 15897\n264 786\n3031 19310\n5085 16974\n14756 16670\n6164 15245\n6143 13440\n13102 19912\n15073 18514\n9929 10143\n387 10410\n325 12979\n2591 18590\n4118 8946\n4186 8749\n602 11491\n19 11464\n10398 17631\n10778 13186\n17200 17996\n2035 2661\n6817 16055\n7008 11924\n14406 19973\n10500 12331\n9114 14745\n17816 19327\n7743 11371\n12348 14329\n5173 13460\n6633 9817\n12347 15567\n7392 7455\n9325 10787\n5794 14549\n5183 16447\n2386 13748\n485 14712\n8130 15625\n1878 11676\n171 5076\n4719 17926\n7021 13390\n10533 16235\n2061 4325\n9659 12137\n7701 10048\n4677 5160\n9454 15816\n5985 16079\n3933 8738\n7185 18249\n2566 7677\n8958 10720\n625 4407\n5787 9299\n9644 13102\n331 15637\n5628 15987\n11365 14338\n11436 17015\n13500 17355\n11130 16108\n6703 14927\n1379 17412\n3147 12961\n3660 10202\n1507 9648\n929 10611\n518 16496\n5219 17672\n887 19579\n2870 7644\n6278 6868\n3633 9817\n789 4792\n1293 16435\n3954 7640\n7939 10068\n5497 16839\n7233 15249\n1429 4684\n3130 10358\n5619 10636\n992 19744\n10841 16035\n17867 18700\n2309 5649\n4443 8779\n4904 13203\n897 4810\n9306 9740\n561 13505\n11227 15134\n6356 8504\n18949 19000\n5539 19824\n13064 20167\n3934 16267\n5662 19541\n1008 19766\n6344 17158\n12445 15728\n8196 8217\n8472 15616\n2847 15238\n9099 18901\n3663 17606\n861 17871\n4266 18886\n1049 13460\n2930 17224\n2636 6271\n3693 6446\n64 756\n6792 7353\n1911 15523\n6112 8575\n1164 6018\n6661 6844\n12376 19079\n17305 19528\n16138 19029\n13664 18011\n13756 14190\n2863 16967\n8539 8989\n901 16800\n12306 16671\n15227 16319\n12625 13217\n9065 19202\n126 2614\n5638 17171\n8102 18629\n7041 10113\n106 12215\n7879 8575\n12763 16148\n11105 18750\n6898 13673\n3382 3458\n36 13696\n5890 19523\n2509 15600\n3260 3970\n6088 18297\n12434 19636\n12135 18758\n8240 19798\n6110 9545\n10094 14692\n3514 15550\n9932 19027\n2077 5217\n7545 11673\n690 14281\n3128 5751\n6158 14098\n195 945\n6846 15360\n4238 18958\n1825 8168\n16852 19670\n1209 17758\n12403 18670\n5449 18300\n7484 16305\n9843 18116\n6415 14755\n2221 10012\n10929 11264\n6832 16251\n8081 10103\n3042 15415\n12821 13473\n3399 16700\n8382 15964\n10426 14175\n2464 9352\n6096 7565\n9650 16161\n16205 18355\n3553 5152\n524 3037\n6063 18933\n5838 11918\n5730 12281\n4560 16567\n6122 8390\n15610 17204\n9872 14205\n284 13373\n2128 3139\n610 19616\n4216 17566\n6294 9293\n1261 12907\n3338 16208\n9612 15819\n8957 9439\n978 17288\n10862 19917\n2565 2853\n15568 19243\n10321 18777\n1221 4396\n4418 17185\n9473 12416\n7385 14218\n5541 15718\n3457 9107\n3357 9082\n9810 11438\n1179 14772\n2372 5846\n12538 19098\n2282 6325\n15711 19013\n1182 19659\n10451 12422\n897 2398\n13738 14264\n6952 18748\n5177 17398\n4763 10250\n13299 19502\n16628 19392\n15904 18881\n3886 17045\n15712 17098\n10777 17989\n10200 13491\n11600 18674\n1557 2179\n12218 13547\n12545 16444\n736 16610\n11372 14477\n406 14598\n13921 19684\n2674 18396\n514 12233\n3870 11281\n923 11989\n15759 18845\n6551 19770\n4527 6065\n3785 5051\n14081 17955\n9290 18499\n8321 13025\n5093 9380\n11354 16392\n6575 17022\n2458 7193\n9807 13057\n11483 16379\n1185 4919\n12281 12625\n1591 9815\n1963 7386\n2203 9719\n8178 15223\n8855 18030\n16223 18422\n2974 13725\n6672 9722\n11807 17205\n6853 14480\n15070 16797\n5363 7315\n11967 17659\n5601 14751\n3653 13359\n45 5949\n11571 16115\n11717 13141\n17674 17992\n13644 19670\n3411 7809\n3996 18702\n2064 12480\n2266 17143\n652 10703\n3481 19910\n2601 18516\n5800 15206\n11349 14627\n8345 16093\n2775 16501\n8282 14805\n9678 14936\n16564 18663\n11726 16347\n2678 10826\n1101 2500\n4153 6262\n10134 17575\n4954 6961\n1068 15477\n4795 17916\n452 12554\n8090 16715\n7144 9655\n18258 18705\n1546 15299\n9819 18617\n1286 16023\n3366 13143\n5492 12582\n11306 17843\n3206 14952\n14371 18402\n10300 13482\n10343 13262\n7801 18854\n4857 16276\n3099 8588\n16883 17172\n1973 16605\n4731 13584\n14794 17771\n4741 6722\n2325 15204\n6037 12569\n4252 7512\n3155 18750\n2075 6673\n6518 16821\n5847 6666\n2291 10529\n6689 20255\n1797 2905\n4741 17737\n3769 8301\n17257 17820\n12211 18796\n2240 15507\n618 1087\n13886 16426\n6989 10913\n13153 18300\n2809 6960\n2284 14124\n15548 18531\n2170 11107\n15233 16806\n5626 7523\n6557 7445\n5011 7830\n8627 10343\n6441 8572\n8990 13643\n4567 13547\n14629 19214\n348 12373\n12637 12836\n2048 14548\n236 19623\n15508 18649\n4836 16458\n766 9631\n2470 14007\n5120 8087\n6375 9485\n6528 8233\n611 2803\n854 10258\n7081 7948\n13927 15022\n13333 19442\n15736 19450\n7945 8398\n4418 13074\n4459 11587\n640 16693\n1934 3066\n549 10253\n12172 16799\n1755 4490\n3390 4059\n3750 10191\n741 3171\n2344 19332\n8203 12007\n5920 9385\n9766 13626\n8394 18500\n4346 11904\n18681 20047\n2745 11006\n3473 7612\n4443 10853\n8276 16617\n6000 15801\n7083 13607\n5250 8999\n5101 18174\n6282 14123\n14185 14563\n12435 14811\n2798 13005\n8685 9112\n5546 15862\n6823 11238\n12065 19258\n2522 11884\n16278 19946\n7071 13292\n9040 11231\n7065 16468\n433 1121\n3021 18291\n8515 10249\n864 15260\n5176 7218\n721 15194\n840 12699\n6647 19467\n4637 11590\n1418 17726\n4263 5806\n3770 14649\n3536 13134\n8393 18943\n11412 11785\n838 12566\n4282 7414\n6817 12868\n9252 17364\n11409 20099\n12918 19553\n11753 18005\n19551 20152\n7180 9461\n11176 15713\n12998 13992\n9157 16106\n4364 6519\n7832 12535\n1037 3084\n15509 19246\n11223 12710\n438 7607\n1945 8433\n4114 8275\n13173 18690\n13569 18432\n11835 14576\n13294 18356\n19620 20186\n2246 16709\n3132 6594\n1793 9237\n6247 8332\n2739 15084\n3072 13639\n12086 15958\n13108 14547\n2805 19683\n737 10167\n13527 15721\n13010 16920\n3027 20191\n4837 7301\n18026 20253\n13583 18763\n11603 15263\n2344 5816\n6803 18242\n4362 10140\n4241 5438\n9991 19838\n5651 7842\n5701 7093\n10215 14584\n6141 12023\n2017 2633\n7670 19961\n11914 18275\n4308 17757\n5910 11803\n2606 9604\n12476 19243\n3263 8586\n12784 18017\n391 7478\n7158 8971\n2987 13463\n1662 11935\n2007 14384\n13207 19610\n10170 19728\n11725 18988\n1205 6295\n15191 16520\n7362 13831\n19363 19885\n6403 6718\n245 14787\n13979 15848\n4179 16490\n11238 12982\n2905 15044\n5178 18944\n6113 11469\n5260 18465\n9054 15047\n4115 16528\n3386 6603\n5731 20037\n8193 19860\n10121 13682\n10872 11689\n2190 20149\n6616 11894\n4694 13129\n1277 11989\n16937 20270\n6202 8765\n9426 16646\n8467 11428\n4430 12953\n539 14754\n7961 16049\n846 10193\n3276 20125\n2882 10122\n5328 10448\n3759 11486\n7603 8962\n3459 15241\n4449 11325\n2327 11180\n5206 16440\n1317 14968\n8078 14199\n8228 17605\n10140 13539\n9996 12647\n11182 19282\n17726 20163\n6075 13638\n16179 17763\n9332 15645\n2133 10133\n4681 7411\n1135 4763\n799 4838\n8006 17055\n11287 15220\n5903 11964\n5811 12972\n1099 14488\n2537 10079\n10635 13040\n12881 13115\n3552 6339\n5377 6754\n10177 14388\n5580 15889\n12735 16217\n9269 14033\n4424 18830\n6016 15622\n14392 17098\n549 4427\n9300 17474\n10028 10060\n4396 7726\n9732 18212\n9240 10628\n4087 5338\n6661 6872\n7721 10309\n2392 17707\n898 6553\n9302 18379\n14662 16880\n2471 13502\n2561 13162\n11017 13443\n16706 17156\n684 12770\n3029 17406\n1519 2657\n9604 10664\n532 7756\n14819 19099\n4542 5295\n4025 19417\n9628 12320\n5186 9227\n8023 16580\n2146 4450\n8787 16485\n5594 18449\n1171 9328\n3888 17947\n10738 17616\n2880 4691\n7921 10763\n5706 11958\n4767 7825\n8606 14140\n8577 8779\n1250 11682\n8734 19164\n3537 17252\n1444 5756\n14931 14970\n2250 3773\n15304 18297\n9513 16776\n12577 12926\n8031 14549\n853 6316\n5999 17249\n5213 7401\n5671 7075\n2734 17908\n2303 11863\n181 12682\n2149 5685\n3737 4584\n15056 15702\n10689 14766\n5912 10159\n5665 18323\n9380 14839\n11107 17227\n1078 11849\n11336 14336\n1906 13614\n12403 20196\n18470 18660\n11759 18578\n6931 9965\n16549 16570\n9211 12224\n4944 15252\n8540 9934\n3596 13145\n17890 18362\n4920 16148\n6385 8468\n4180 6782\n13124 18238\n6066 15068\n11546 19465\n14529 19238\n18103 18899\n5187 8083\n7253 11150\n9593 15232\n630 648\n3336 13975\n1417 19855\n11416 12166\n8751 13253\n10577 13838\n2082 12641\n15845 16957\n3353 4863\n7694 18226\n8628 10341\n7174 17235\n9704 9829\n10507 12275\n3904 9513\n10535 18525\n7906 16772\n1116 6801\n9077 17551\n18529 18651\n16282 18949\n440 9474\n8893 17375\n6539 12267\n1877 19752\n10792 11328\n8400 10607\n3763 18703\n14195 16404\n7974 14658\n1160 4053\n4024 14517\n7792 13337\n8386 17679\n8189 12295\n11284 20252\n4838 13621\n6923 11397\n9325 19514\n4510 5300\n6423 11603\n3039 11800\n8055 19624\n12673 19129\n3020 12973\n2463 4797\n4349 20282\n14001 14301\n1422 4125\n11001 15756\n6584 19639\n9090 10720\n358 2043\n4904 13422\n11801 18612\n3617 3756\n16374 19507\n10726 17468\n12300 17246\n13231 20081\n1355 16343\n4532 9554\n8912 12884\n8175 9168\n4017 11430\n11478 12283\n6284 17709\n6656 15747\n3009 11301\n18368 18816\n2285 9029\n9896 10453\n3953 19843\n7429 7484\n12538 16978\n9242 19969\n5811 19107\n435 8998\n10542 14371\n8559 9620\n2718 16331\n5286 17183\n1466 2177\n2202 6642\n5162 6936\n10989 19474\n3920 11747\n2080 9793\n14406 16522\n6760 18013\n13966 19124\n1725 4562\n3056 7086\n4984 7664\n3166 8583\n8959 16606\n2354 18153\n6027 7794\n8585 9772\n8264 15564\n6504 10494\n12042 18927\n3413 3522\n11011 20097\n10632 12275\n1438 12981\n2395 16069\n16008 16266\n10289 18793\n16055 18461\n2185 20104\n234 13497\n1161 15636\n6796 8545\n4593 9007\n8573 15837\n854 17039\n14709 19695\n5186 16324\n17371 17891\n10925 12032\n7947 16723\n3625 14513\n7164 19421\n4031 13462\n14179 18612\n4873 9199\n8172 16897\n475 4957\n7801 12006\n13936 17860\n669 6497\n9620 19535\n3758 12436\n9409 20270\n7642 11157\n7376 14844\n8778 19779\n14570 17386\n10954 11604\n17767 19780\n11904 13934\n12107 13891\n12403 14995\n7781 15069\n13588 15790\n6732 12721\n15272 15579\n11921 17617\n1403 5484\n3992 12819\n361 13756\n3932 15364\n8791 12259\n7856 16851\n13445 16518\n4661 5649\n3019 12050\n8565 12643\n6179 18299\n6903 14616\n11872 15484\n9276 12812\n4741 6334\n1386 13878\n12985 16053\n6503 15036\n3203 8283\n4598 16374\n8436 18177\n4372 19586\n15746 20159\n2716 5374\n6493 11199\n4420 5557\n4591 5796\n12861 14704\n1828 11790\n9663 18064\n15814 18736\n7236 19226\n1762 8541\n16827 17580\n1745 10399\n4478 9323\n1313 6724\n16387 18248\n1970 3152\n708 10465\n9723 17306\n11769 15034\n585 3122\n14433 18883\n15568 16846\n4218 5973\n7654 19671\n2664 3029\n10179 20072\n10038 17567\n7325 12080\n9271 11347\n2017 2061\n752 11997\n11731 15020\n2855 13114\n14184 18188\n3642 12793\n3533 20012\n7697 11078\n7372 15833\n13758 19164\n12766 13572\n11485 12209\n10359 13248\n1782 11288\n1233 17087\n6083 15198\n5266 10151\n12252 14697\n12996 16895\n6641 13425\n2735 14430\n5387 9197\n17000 20187\n3119 13091\n4577 8587\n2898 9526\n9932 14913\n4808 11060\n14403 18825\n12491 12718\n9191 14876\n10879 17626\n2489 4665\n3636 6425\n6523 19965\n6158 13768\n3807 10296\n10585 18523\n228 10824\n16208 17673\n13412 14349\n14287 17229\n6962 11745\n2551 11903\n4588 16909\n6190 12401\n10743 14565\n4784 7656\n2531 17833\n1602 6757\n7791 13084\n3908 9298\n5862 8952\n8103 16490\n12648 15748\n6998 14098\n608 19029\n8193 14381\n425 11250\n7145 14349\n5690 17310\n7787 14322\n15302 17431\n14384 17853\n7278 17046\n614 19750\n1052 4310\n8458 18922\n3134 19775\n9116 19230\n13205 17851\n6217 11632\n1413 2233\n18000 18361\n3056 4215\n1676 4542\n1401 19091\n2839 9758\n3458 5063\n9481 14106\n880 13341\n15626 20214\n2728 8564\n2380 18223\n14890 15761\n13397 16853\n380 2496\n2487 19376\n7166 16372\n3762 10127\n17771 18267\n1131 9054\n1170 18457\n10533 16731\n7690 17279\n555 19163\n15776 19647\n11201 17887\n13955 15688\n3685 5625\n7985 14679\n6742 12424\n5602 10538\n4202 7485\n13399 17334\n7735 16272\n5908 13465\n16873 18627\n1367 3119\n4067 10802\n16855 17761\n3662 13964\n2798 19077\n3932 19517\n10026 19254\n4724 10939\n643 13656\n18602 20177\n2333 17044\n1618 8283\n3813 13567\n14651 15297\n10273 14792\n4328 20149\n9773 16913\n7632 12423\n5680 12402\n3336 19163\n13089 13107\n4807 15243\n3853 13045\n6356 13879\n7 18256\n507 14089\n8447 9773\n2174 18301\n9130 10402\n611 14076\n3093 17940\n12185 14851\n2825 12889\n11777 14389\n10970 12003\n2945 19055\n15199 18884\n7237 17165\n4960 9410\n15901 19260\n10915 15621\n12428 13159\n411 16628\n19918 19958\n18744 19639\n8478 14205\n14507 15934\n5504 7043\n5255 6575\n3329 13766\n2677 15649\n5478 9847\n5723 10212\n6436 12522\n4509 10755\n8479 15014\n2370 10635\n3745 11012\n8992 13891\n3561 5377\n2024 12062\n2817 20197\n2626 16830\n12313 13185\n4686 14246\n9543 18943\n2436 3119\n13732 18615\n6760 8232\n4131 5012\n6427 19821\n5441 15877\n1760 1777\n4822 5889\n10198 14228\n3092 16182\n8082 12788\n10827 17560\n8883 18478\n4761 10557\n804 12029\n135 9413\n17205 18356\n4285 13636\n19277 19759\n2021 5159\n9882 11459\n5217 5955\n7260 11388\n13113 19484\n12110 19135\n9425 14692\n361 6307\n2321 2552\n5401 15987\n4524 7346\n3528 4781\n8203 14082\n9634 15578\n2526 12771\n4018 14629\n396 19065\n6561 14114\n5893 11928\n8762 13977\n1861 2239\n5642 7445\n5956 14259\n7001 12406\n18393 19984\n3124 8492\n2740 6174\n2890 15327\n15031 19200\n8821 19474\n2805 7183\n13641 16863\n3947 20019\n1658 11662\n10451 13442\n2474 14572\n5278 7971\n5561 17565\n10073 10197\n17379 18299\n2514 17498\n6559 9252\n4017 5517\n4382 10689\n2351 6009\n831 12911\n136 16532\n1876 6962\n9124 9613\n9513 18903\n9699 18377\n2607 10557\n9542 19229\n16188 17182\n1702 16155\n2215 9472\n1134 14928\n6627 17574\n6532 14589\n1488 5526\n1505 17410\n286 6281\n11330 19163\n15056 16849\n12663 18587\n12306 17877\n2492 7062\n12754 16548\n6327 18935\n4297 17167\n4548 16967\n8767 12420\n7787 9398\n13230 13747\n17194 17717\n1915 16693\n152 11150\n3580 4743\n9099 18415\n2083 12701\n4540 13397\n5338 12574\n8834 19831\n6098 18550\n11376 16577\n523 2779\n5563 9254\n3664 8761\n4150 11429\n6039 6340\n11739 17114\n6689 16762\n5025 14399\n8689 13863\n1844 8865\n2654 11981\n65 9825\n1117 12031\n5896 10413\n3125 15916\n3355 7226\n823 9597\n829 18551\n5350 14132\n374 3276\n14534 16029\n9077 16930\n11437 17784\n2514 17535\n9152 15632\n6546 13775\n1887 14683\n412 8174\n3191 15418\n12669 18124\n15411 17959\n4033 11359\n9922 16060\n11400 17498\n13235 18591\n10484 14128\n2243 17417\n910 4453\n7390 12852\n9952 13870\n18789 20126\n1733 15168\n1219 6216\n6787 9434\n1358 17687\n9614 17304\n7729 18455\n12869 16670\n16144 19574\n8889 18740\n14239 18668\n5346 12216\n16345 18950\n583 6496\n9058 12048\n10886 18850\n207 14628\n4593 5864\n919 14786\n7955 16861\n3039 17486\n4415 10843\n13577 16685\n5774 6163\n6362 13509\n16470 16537\n6903 11278\n10023 20263\n14501 17658\n4416 9687\n2846 19552\n1270 13635\n7981 16649\n4717 18641\n2897 18661\n901 6083\n12779 18265\n11443 17880\n1437 7637\n2238 8904\n12961 19059\n3035 18004\n11766 12635\n9682 11790\n1773 18857\n8616 18430\n1721 16409\n5898 6879\n88 13064\n3579 12602\n9321 18575\n13968 15221\n3605 9796\n12531 12613\n14321 14447\n2492 17457\n13589 18911\n1285 17857\n155 3945\n7546 8397\n7046 7142\n3685 5959\n5846 8109\n3976 10094\n9456 17042\n10156 19429\n13238 16546\n8421 17500\n7564 15818\n3241 8912\n1474 13116\n5297 12569\n5098 11301\n1531 5418\n5866 19751\n3339 9491\n3612 3908\n4346 5444\n1197 10175\n3167 4929\n18362 19127\n4203 18438\n4528 10363\n3894 9144\n10718 17680\n8250 8780\n17177 18630\n13831 16107\n121 14920\n6351 12918\n10899 20059\n4386 14882\n1428 3677\n12193 12448\n14227 15523\n8155 12516\n13101 17502\n14074 14967\n8304 8599\n5120 14884\n3325 12491\n803 5162\n1790 5262\n6065 10588\n4604 14500\n10379 12515\n748 16036\n6773 7352\n13368 14496\n6936 13053\n6996 15413\n1532 1969\n6386 19329\n3429 9094\n1611 7272\n9406 17635\n2213 7247\n3580 9675\n8238 9425\n7494 14713\n764 1580\n13339 16904\n110 15747\n9984 15122\n12760 13577\n2864 3824\n6384 14611\n2391 19579\n8879 13841\n11369 14540\n1171 18336\n4070 6530\n16741 19371\n4424 11069\n6360 15280\n8359 16231\n2333 17430\n2551 10867\n4204 17857\n3994 20050\n430 14504\n12957 17155\n12776 19836\n8137 13866\n6472 20085\n1596 7246\n15837 19964\n9944 15731\n897 12402\n4986 5462\n11504 16034\n1592 17874\n2622 3568\n4043 11522\n4835 14405\n100 2033\n10269 19290\n12818 15273\n3609 15111\n7749 9423\n5240 13787\n8487 15902\n4887 11441\n5157 10631\n4386 11266\n4452 16333\n158 2410\n3481 8945\n7911 11772\n10552 12279\n1980 10375\n1440 11215\n7279 19551\n4096 5181\n1413 7443\n3063 10912\n6235 12973\n14443 16691\n117 19064\n12348 18375\n14515 16036\n718 10964\n5854 13421\n6484 10814\n14718 20246\n12794 13990\n4016 10794\n11771 12904\n7372 14812\n6645 15318\n2971 8375\n638 17043\n4820 15943\n10917 14254\n4649 17190\n11773 20181\n2762 11229\n790 1383\n1798 15124\n5204 13662\n9406 17548\n4707 20094\n13048 20084\n4396 8891\n6040 9438\n15085 15539\n8567 20044\n7154 9062\n13938 16348\n6718 20154\n9670 14383\n10167 11594\n4114 13628\n8582 10113\n2875 15600\n826 18865\n2411 14555\n6368 11499\n10596 19490\n9033 9501\n13892 15673\n15701 17775\n7635 13660\n12552 15042\n13187 13733\n9834 18969\n17995 18676\n15053 15963\n11479 13218\n3185 16196\n13516 15411\n10381 11021\n61 4148\n1621 17148\n15458 17428\n1556 7168\n1363 11360\n4978 10775\n16417 16944\n4595 5212\n8713 18096\n16618 18396\n5686 12255\n1829 9497\n11720 15426\n1374 18322\n13176 13410\n7794 10772\n5268 18942\n5082 9637\n4375 18939\n4788 15514\n9914 14979\n427 2560\n3342 16489\n15792 20199\n4631 18398\n5572 12518\n1286 16643\n7060 16099\n7864 10692\n12875 18033\n10784 17477\n2167 12249\n8484 8615\n3549 15610\n121 1177\n7095 12559\n10321 11053\n2774 19787\n10700 17226\n15032 20049\n10399 19392\n3697 15400\n2191 17032\n8873 17198\n6390 18799\n7155 14916\n4461 13337\n11027 12023\n2683 5302\n3697 10741\n4859 19636\n10590 12611\n12760 12918\n126 11608\n2880 16388\n2374 13376\n3476 5346\n10488 12886\n3760 7930\n4015 6436\n1136 10364\n497 7072\n3232 18704\n8732 12382\n374 9767\n6876 13863\n10207 11481\n7073 15241\n4733 10717\n5133 8178\n6486 6855\n6504 13334\n3571 18712\n9391 19630\n4883 11531\n5133 20086\n4306 14569\n15992 19188\n15421 16410\n4515 9957\n4123 4930\n9940 13729\n12053 17112\n8888 10187\n4304 19145\n553 15054\n3181 13382\n4316 9505\n3959 16418\n8552 15808\n2104 16699\n9645 15785\n5403 8596\n14015 19506\n138 12513\n5995 7744\n13642 15255\n1236 19253\n6509 7233\n5290 16866\n3574 8523\n15788 16935\n641 4807\n4164 12261\n7882 11780\n13994 19712\n16478 17148\n7035 14366\n17821 18140\n2533 13560\n1291 19913\n8915 12472\n4371 17659\n2662 12986\n3977 16179\n2659 4361\n16911 19311\n14205 17315\n6625 15212\n14345 16005\n4297 6102\n11465 14838\n7283 16497\n9440 18561\n2085 16081\n11491 12471\n8160 19652\n4861 18380\n8610 10925\n4937 5350\n341 6877\n1660 2568\n2473 8907\n6738 13601\n5710 13545\n612 18911\n6329 13548\n5732 11899\n346 4261\n12451 15478\n2736 16252\n3254 15134\n5197 9764\n6715 10937\n7153 12594\n4825 20173\n7238 10621\n15263 15831\n3863 9188\n8265 19150\n8285 13216\n4701 10029\n14311 17006\n5177 5729\n11777 14725\n4251 14232\n13492 15631\n10503 13184\n8023 9880\n2091 6002\n3658 12667\n1189 7944\n3091 5607\n4079 9322\n16131 19316\n2565 9722\n14048 17588\n12173 15706\n4019 18957\n4022 18859\n4541 15830\n1995 13877\n4249 4922\n5043 6108\n6672 18995\n6361 11580\n4613 8998\n12614 12912\n2942 18329\n17048 17153\n12778 18723\n6634 20207\n11400 12784\n8453 15514\n9732 13486\n16675 17567\n7709 15590\n3351 9172\n6076 16394\n4109 10000\n2205 2411\n6233 16654\n10034 16781\n5388 7509\n1523 7320\n7826 8303\n1426 6940\n3958 4101\n10084 19378\n9147 12809\n11446 13420\n5714 10554\n12255 12868\n5407 16478\n6980 12403\n3261 6640\n3968 11244\n11741 17521\n10858 17279\n16987 18495\n6804 14042\n864 18620\n4066 16491\n5143 6495\n10983 17096\n1142 2947\n3706 9207\n5221 6483\n17265 17762\n4529 18968\n5540 10586\n3630 16004\n531 2175\n3745 13706\n1305 15395\n3237 13838\n1944 8617\n15021 15472\n1371 19616\n4879 19783\n10016 11272\n1784 19731\n9409 12010\n11640 18349\n12926 14409\n8606 18543\n1175 10346\n11056 19395\n14984 18449\n15746 19492\n5445 11386\n16461 20253\n2815 8157\n16327 20181\n584 6390\n7002 11817\n8925 19498\n6000 12132\n5623 8519\n3967 13622\n13042 20272\n6222 16466\n13171 16451\n4059 5684\n11042 19366\n13376 18012\n8155 13888\n4810 9147\n10797 12579\n7212 18644\n7291 18701\n7666 10732\n12811 16819\n14711 16808\n5538 10150\n1303 15636\n7377 11755\n10657 11263\n12956 15988\n1770 9824\n2250 16019\n171 17514\n8124 15531\n8536 19856\n4579 15227\n4530 14422\n1747 18790\n7565 19520\n6966 16248\n10217 17207\n17739 18053\n19585 20211\n5977 14626\n11714 15857\n1835 14351\n3935 19783\n8538 12746\n109 6270\n13105 16435\n15950 17174\n2960 10808\n8139 9771\n12693 19398\n2715 5327\n996 12005\n6006 15569\n14933 18719\n9266 17249\n5706 11972\n4146 7901\n8468 19234\n12685 12693\n7402 16571\n1509 10245\n5633 6916\n13330 16603\n3746 12222\n3532 8582\n3778 5173\n989 3507\n7320 10188\n988 5166\n12277 19526\n505 2062\n6754 17321\n1150 6937\n1045 15701\n9544 12556\n977 3833\n7653 20166\n13795 17924\n1602 12246\n2762 17265\n12720 16057\n11380 15605\n6108 7375\n9664 17983\n3859 6982\n12396 13400\n9546 10328\n10343 20105\n10619 15422\n6244 18994\n10930 18468\n9281 14585\n11849 13347\n3214 18397\n14503 19252\n4519 15444\n17447 18050\n11996 18883\n15294 16823\n10713 15046\n10119 10651\n4086 16030\n3814 8725\n1722 3237\n4994 12100\n8073 14231\n19654 19660\n8145 10142\n4389 9509\n1334 18319\n432 12502\n2618 4173\n9631 13987\n11193 13546\n16348 20218\n1872 10274\n1852 3233\n3595 6170\n3670 13129\n14910 17390\n3546 10211\n9582 11571\n12700 19370\n15194 16498\n1777 19737\n1587 14005\n3183 13320\n2497 13708\n3931 13154\n4801 6288\n768 1979\n433 3152\n17014 20069\n1737 7157\n17626 18586\n1297 13006\n8584 19600\n539 14336\n12412 18723\n1945 5568\n8835 14006\n1969 4367\n11439 16694\n12670 12871\n10842 16553\n8505 10216\n4503 14762\n8210 8264\n4252 5049\n7653 11465\n5708 10950\n14111 19908\n1010 8943\n2095 9748\n5164 12596\n11016 18613\n2815 3417\n2020 4824\n3288 3635\n10767 11389\n3900 17280\n7897 15639\n13126 18972\n15757 18905\n4832 10645\n2570 6576\n3235 3940\n6447 17162\n2164 7724\n6719 7271\n8358 15690\n1435 8210\n2048 7472\n13288 18713\n10265 18752\n3059 17400\n5250 12646\n17364 18447\n4174 15520\n1192 7276\n6571 9903\n8256 15092\n4506 14949\n9240 13917\n1561 14309\n7190 8949\n4569 13014\n13421 18213\n12559 18154\n5643 14360\n7165 12166\n10460 13724\n505 1586\n4754 14855\n542 3262\n6879 16204\n15814 17287\n89 13177\n9511 14190\n9363 18428\n8873 10852\n7006 20016\n8075 8623\n6073 12110\n2253 20143\n7001 14158\n2543 18385\n861 20156\n11162 11456\n3756 17079\n7448 9943\n13450 18682\n10631 15655\n9701 18758\n354 7872\n4193 15859\n6503 16850\n9518 10592\n10747 11593\n14793 17350\n7112 9985\n4855 12937\n4028 8227\n11507 18027\n999 13967\n1902 3875\n10384 16179\n1722 9942\n12150 14992\n1553 10368\n4262 9833\n9456 16450\n647 15068\n6701 13235\n13443 15586\n2181 5173\n4246 7868\n790 9071\n7140 16357\n309 10045\n2553 7723\n11965 12262\n4675 10732\n6723 15125\n12126 17625\n13258 16315\n898 7922\n2458 19311\n12599 12798\n7632 17529\n9561 13294\n2010 6356\n4295 9729\n403 3566\n2828 18741\n2840 9244\n7291 20136\n4206 19048\n18835 19267\n433 13429\n3136 12393\n7426 10289\n1215 20048\n12266 18548\n6705 19409\n5568 9704\n6007 18907\n503 8043\n431 12045\n151 13837\n9708 9976\n17081 17116\n7149 13539\n9443 16456\n3232 10989\n5375 14709\n3448 6235\n10005 11328\n12545 18277\n10484 14790\n6637 9860\n12668 15644\n1170 14370\n5061 17342\n9269 13386\n705 8900\n10980 11666\n6303 9104\n1664 10208\n13610 15686\n12468 17683\n3896 7246\n1940 15414\n9241 11551\n950 19685\n9032 14836\n10789 17208\n5817 19096\n1723 11929\n11422 20289\n14098 15269\n54 280\n2081 2701\n1695 13507\n497 4987\n5376 12152\n464 1334\n12200 15934\n2941 9169\n3024 18354\n12567 13390\n8959 12650\n7262 8960\n1002 1121\n3903 16513\n3561 18160\n1195 16110\n4123 14268\n17915 18002\n9614 14266\n1096 4246\n1201 15053\n15447 17475\n303 11275\n4171 14957\n1410 13398\n11637 16513\n4291 9043\n17798 18118\n1333 15302\n1776 19559\n10111 12801\n11995 13258\n17603 19850\n17796 19327\n9571 16936\n6385 9580\n4418 18369\n422 847\n16500 19857\n9314 20215\n5434 7392\n4188 11066\n6270 13651\n10890 19926\n6620 9358\n13213 19820\n407 6749\n7424 9992\n4363 10509\n7552 8390\n2737 9507\n8969 15722\n11475 20116\n11186 15443\n11469 19232\n700 6039\n2739 12053\n4076 19096\n8445 17976\n2258 5686\n6969 13137\n670 8911\n14502 16836\n454 14314\n15246 16712\n931 6976\n3322 13808\n13431 17338\n8540 8917\n5596 7509\n4528 5240\n675 16891\n7372 7560\n2204 12749\n3497 16776\n13719 16228\n10868 17608\n145 8241\n12548 17296\n11414 18259\n15097 16892\n9702 19126\n3709 16309\n15797 19059\n11976 17329\n10597 13567\n9627 11845\n12684 14190\n2532 5863\n17439 18663\n6043 8852\n1450 7107\n4445 13787\n5754 12858\n14462 18827\n3899 8293\n706 18398\n12629 19353\n1185 3046\n10802 17712\n2004 14349\n8022 14814\n6217 12946\n3903 6033\n14087 15809\n1046 20283\n6795 19263\n13738 16300\n3332 11219\n9502 18568\n772 4968\n2961 17939\n573 13921\n1716 16974\n10916 11419\n1171 12197\n3356 5650\n4271 8581\n11075 19278\n2291 8747\n3419 15036\n5326 15583\n3943 6554\n7752 20083\n8261 12016\n2465 18777\n2415 7990\n1478 9052\n2804 5610\n7242 14419\n1627 13037\n2854 13036\n5862 10626\n1253 8057\n7818 16259\n9875 13124\n5808 14921\n4543 16710\n6696 17415\n13734 19099\n12648 20281\n15867 19395\n5208 15797\n15449 17880\n1967 8994\n19927 20247\n9404 14408\n13841 18835\n281 8816\n922 11814\n11013 11954\n9060 13878\n1991 19646\n3415 8922\n1130 4979\n9950 15942\n1733 8381\n2517 6186\n11160 12784\n5196 8895\n11308 19577\n7195 10948\n7477 19919\n2401 8898\n7251 10355\n15521 18440\n7966 18122\n9067 18977\n970 13900\n2113 17407\n8627 17388\n388 9555\n1844 10793\n8610 13886\n3721 6244\n9811 16386\n6200 14748\n662 9647\n8936 12974\n1654 4195\n1327 12944\n6185 18855\n8738 19754\n4474 12479\n11164 16690\n10490 18909\n12671 17497\n157 14069\n183 14127\n11743 14767\n1583 8544\n5201 15154\n9262 15645\n6596 15204\n1977 2912\n5586 7987\n2157 4798\n2873 4967\n2254 7719\n15894 19347\n6973 12175\n3386 12060\n3180 16516\n3300 18452\n4616 20003\n7747 13344\n780 981\n64 14486\n8958 15885\n17853 19863\n10079 14306\n249 15715\n1040 12978\n5385 6086\n11261 14502\n15148 15386\n9045 9407\n7984 19640\n3014 16685\n5152 12331\n3545 18996\n4569 20123\n3570 4555\n3165 8302\n12880 19449\n3296 8626\n10519 12312\n4826 5450\n4633 5530\n12525 15987\n2622 17651\n3448 6611\n1949 11140\n10705 17777\n18821 19951\n6826 13030\n13961 18765\n13038 13473\n8540 17162\n10887 19347\n1252 1526\n14811 18716\n1227 7818\n3781 17370\n17696 18308\n3316 15380\n8638 12378\n3022 3552\n2808 8928\n974 18768\n3308 18493\n12566 19210\n8157 11876\n850 16674\n14717 18299\n5557 7112\n7998 11535\n13416 16124\n11522 17992\n18060 20065\n12294 17909\n5158 6195\n6525 8962\n4236 19139\n5257 12298\n12504 17334\n5431 15375\n1195 19939\n77 6232\n1111 3220\n5095 12654\n613 1908\n16 10476\n2025 12697\n11033 11465\n19223 19746\n3309 12779\n2351 10550\n2639 5564\n11382 19194\n11318 15435\n1951 10437\n1166 1514\n10110 18076\n2682 7194\n18367 18726\n4499 10110\n4137 8299\n13141 18307\n2439 19629\n2207 5967\n11701 19976\n3893 14396\n2016 11855\n14031 17197\n9075 9523\n12315 15276\n2682 10314\n4951 15901\n9256 12504\n2314 14613\n9661 11810\n10969 19937\n2708 19596\n3640 4986\n15439 16178\n11197 16255\n3743 3840\n7784 14546\n4028 8859\n13856 17107\n15666 17677\n10002 13674\n2179 9562\n15366 19432\n13590 18619\n19439 20242\n4074 7384\n615 19083\n9621 9644\n10369 19333\n10534 18942\n2877 4299\n565 1033\n2400 11853\n8440 13363\n5200 15256\n1241 12972\n13181 17636\n8687 12849\n12638 19467\n14477 16817\n9706 12133\n4112 6768\n2598 5184\n7525 8307\n13911 16476\n3024 11120\n1990 15896\n5484 5582\n8958 17183\n6955 12561\n15849 20268\n6076 19740\n18905 19407\n4556 14590\n4339 8310\n5799 14355\n3902 15178\n10056 17714\n7843 8806\n13211 17147\n6383 14349\n8144 18536\n9401 14628\n9865 11322\n31 17833\n4323 10682\n4105 12728\n5882 19617\n7180 11376\n2207 18559\n4232 19799\n14913 18849\n5117 7996\n18797 18895\n10999 12282\n3161 18291\n14376 15048\n13451 14632\n1283 11115\n2359 18246\n17243 18240\n15715 17049\n11673 20285\n5856 10803\n2796 14485\n6215 16020\n5097 15775\n968 1648\n8059 12207\n6071 11830\n11221 16933\n726 12047\n7997 12677\n1291 4344\n13743 17649\n5817 12046\n11585 18413\n1083 11108\n7287 7561\n8476 10596\n1565 16284\n910 20037\n7470 14482\n5885 17930\n16790 17330\n8490 9172\n8388 17745\n8623 16922\n5709 12739\n819 10401\n7879 14521\n9086 19614\n5032 14716\n2098 15200\n2968 8859\n15589 16452\n18195 19384\n5393 7205\n2777 3912\n4125 5032\n9238 19464\n374 3006\n3837 18763\n2829 15625\n9355 19138\n1410 7494\n1911 17608\n6634 9750\n1149 19655\n12458 15521\n11756 14799\n6761 18726\n7939 15263\n6345 20023\n2864 19786\n451 9907\n235 13773\n7489 11865\n17400 19845\n7277 8706\n1735 6718\n1229 2866\n8327 12975\n4629 9302\n13119 16820\n7013 9910\n878 6298\n2396 17904\n2363 15274\n5283 15164\n3690 19434\n360 16826\n2312 4704\n699 10692\n3962 8609\n2061 7984\n2096 12785\n8410 17583\n12058 18891\n4077 4834\n2497 9795\n13439 20268\n5130 6807\n2028 13081\n12047 17150\n12650 19601\n6394 14398\n2508 19014\n3893 12746\n3653 9147\n13932 17030\n3989 4328\n6785 7340\n7802 15578\n9611 13355\n13801 15262\n6628 8522\n10052 14199\n6367 14747\n6251 16697\n19295 20144\n11355 15998\n5268 16637\n10207 13630\n14776 16421\n984 4618\n6380 17491\n1101 14143\n5194 14695\n760 3493\n11330 13853\n11771 12607\n3531 7920\n10180 12600\n1616 14419\n9096 15950\n9448 18191\n11099 12438\n2737 13072\n6321 10832\n3763 10870\n5036 11443\n5520 16009\n4203 16813\n1928 2974\n861 10456\n13364 16088\n7649 14875\n291 11966\n2330 15878\n264 20110\n6474 10712\n1668 18867\n5300 15598\n2797 2833\n12306 13376\n6073 10016\n1373 15686\n7952 11637\n5894 17773\n6864 16117\n766 10232\n3257 12331\n15519 19393\n14418 19380\n11481 18902\n5003 18624\n12247 13468\n11712 14686\n9807 12582\n9128 16223\n15208 15847\n4751 7896\n249 7947\n5273 14767\n1417 6021\n4283 9350\n105 13084\n5894 7160\n2014 19933\n13213 13498\n3809 14956\n5062 8254\n9283 14566\n6596 7408\n10404 17811\n7377 13076\n3386 12075\n1677 3779\n4990 17579\n179 7418\n8285 8935\n7003 17538\n7408 16571\n4724 6093\n11508 17757\n305 6192\n12510 14940\n8557 18295\n10312 15338\n3982 8279\n9749 16286\n9522 17041\n5149 6687\n3546 15361\n10309 14114\n11698 17821\n8931 16143\n12788 14629\n5073 19728\n7266 12325\n7884 11920\n10497 11554\n8732 15786\n9243 16136\n1609 7927\n14633 18266\n3470 15631\n1979 6915\n12930 16312\n4366 20087\n2088 14125\n4117 7198\n6777 18439\n8261 14318\n1141 11404\n2724 11277\n4501 5473\n5910 19555\n128 11178\n11109 17722\n8980 11349\n11789 14152\n1368 20273\n2063 5560\n16902 18629\n6535 10909\n1400 12417\n2105 4208\n3945 18899\n14096 20079\n18265 19931\n1302 8196\n17815 20001\n4778 9764\n3383 11720\n2353 12475\n9486 16331\n17110 18822\n13818 14498\n1979 17102\n16407 19739\n9727 19540\n12683 15367\n2199 7322\n9061 11545\n6685 14250\n1948 2051\n14909 16274\n633 10835\n8332 15174\n2346 11640\n151 2374\n5965 10985\n5765 10951\n12687 14266\n16213 18441\n4201 12822\n849 11538\n4352 5888\n10615 18485\n1682 18158\n4453 7703\n2700 17355\n1058 3207\n5657 18090\n1013 17680\n14953 16421\n8139 14240\n5740 9391\n4287 16278\n1425 2996\n5876 10718\n2863 6734\n2677 13695\n13243 17567\n18979 19448\n3196 19843\n13560 16088\n2630 10388\n7662 10631\n10983 19158\n15449 15620\n3810 17229\n10967 14397\n2357 4220\n634 19614\n13657 18081\n10229 12293\n4168 17994\n5832 18780\n8623 9651\n4767 14533\n2263 17974\n7386 9706\n6570 10086\n4415 13861\n5968 18489\n115 1218\n7621 16556\n815 15609\n10043 19796\n7584 12531\n477 11281\n13752 17474\n6833 13908\n390 14069\n7369 14954\n139 7027\n1570 19649\n504 17084\n14093 18431\n1793 14995\n9733 19142\n1575 3021\n3928 6149\n2669 5439\n3218 14276\n204 14522\n6227 19875\n15745 17676\n8797 16695\n9200 19481\n15052 15298\n2433 10203\n5820 13892\n16515 18402\n11801 19922\n2916 12358\n6638 17604\n199 12994\n2264 12389\n7550 19649\n17627 18866\n240 10041\n13671 16700\n84 18639\n1440 5564\n2707 12561\n8138 16929\n7801 10011\n3053 13250\n394 1058\n7867 13805\n2701 17790\n9768 20225\n7949 20044\n8445 17484\n2505 19549\n11560 18911\n7445 17567\n9481 19792\n7142 18624\n14372 16780\n92 13768\n11500 16324\n4128 10478\n4873 8489\n6427 14784\n4575 13168\n4347 17472\n1805 11175\n6840 14186\n3058 10967\n3988 6310\n13492 16039\n18462 19166\n6643 12338\n5188 14575\n8484 15303\n14417 18206\n3804 17033\n15273 16824\n5634 19036\n12921 15940\n5351 5836\n10291 17379\n6165 10209\n2203 2447\n15501 16410\n15094 19355\n4224 11566\n13181 16517\n3784 12093\n7650 18603\n3150 4851\n1500 19110\n2426 20288\n294 18513\n12456 12877\n8411 17072\n1790 3680\n7193 17115\n1895 6692\n6051 8110\n19162 19319\n9428 11765\n3016 5235\n13513 19531\n2587 3573\n4413 19413\n12863 17283\n878 8863\n612 5144\n727 12160\n8935 13374\n2062 17655\n3992 8298\n13681 15546\n5362 5606\n1511 19154\n6359 18110\n2137 7922\n5149 8456\n3435 10211\n2329 15335\n3633 17435\n14264 17030\n12138 19961\n2871 13077\n9432 11838\n289 6143\n926 12466\n194 14248\n7108 14325\n14998 16917\n3913 19327\n9972 15074\n1868 3884\n1460 18138\n12321 18293\n642 18940\n3835 4928\n8672 10371\n979 10472\n11826 19303\n14489 18863\n1978 12997\n7438 8320\n10403 15434\n4728 17927\n11591 19228\n5113 5761\n2249 8282\n5704 16225\n13140 16118\n753 15404\n4856 12627\n518 11128\n8170 9759\n9523 12925\n11208 11213\n8723 9998\n14086 14260\n9408 15100\n2145 13860\n5936 14023\n3782 19506\n559 2366\n9292 19903\n15303 16672\n12604 14679\n1995 14385\n2105 11042\n3955 18751\n3664 18834\n646 6147\n128 9544\n10183 10430\n5143 19253\n2809 13061\n1845 4052\n7087 9406\n11189 13872\n5689 10016\n2190 3971\n7233 9275\n17930 18956\n5653 12688\n14923 19450\n4135 4292\n11507 14063\n3044 5172\n1302 12460\n7204 9343\n3911 12626\n16285 19354\n6510 17449\n9687 10305\n4326 9374\n12297 16957\n208 9491\n5197 14618\n16608 16778\n1482 3894\n10842 16014\n10205 16111\n1910 8438\n9377 15672\n979 7381\n4117 11182\n2140 13839\n6673 13994\n2603 5563\n13954 18899\n6169 17507\n1955 11406\n15022 18694\n13808 15272\n952 19128\n7280 12595\n7223 8123\n14777 19350\n17301 19856\n1241 7349\n10957 13251\n665 4585\n7994 18131\n3369 11061\n3806 11793\n1547 12529\n6228 11726\n17366 18171\n10402 17386\n11028 14318\n6978 12871\n126 7533\n6884 10437\n7901 10356\n13026 17160\n6192 13233\n4497 19884\n96 16686\n1692 9925\n8587 20098\n8050 13344\n3270 7370\n11806 15939\n3076 7296\n12785 15248\n4122 10219\n2148 13323\n2481 9150\n1695 11671\n11050 13917\n15629 16872\n3437 17738\n3027 3495\n6837 16628\n3158 13757\n4681 17359\n1953 18623\n152 13765\n7234 12229\n2193 19017\n11685 16552\n709 7239\n8842 18528\n11930 16499\n4897 10626\n2781 7099\n8903 11300\n7144 18518\n12658 19868\n14391 18207\n106 16250\n8131 14240\n9745 11830\n9133 14441\n12915 20176\n9179 13403\n3117 14016\n2066 19723\n10601 18738\n5264 9402\n8794 14019\n9090 18352\n8536 8752\n16365 19281\n9094 14144\n2790 12150\n5199 12114\n16014 16109\n9247 15839\n15179 15472\n8189 12161\n699 17891\n5452 13287\n3269 19285\n5509 18988\n6153 9032\n2205 17535\n565 9377\n8715 11890\n7700 19146\n8154 18389\n5334 12738\n8899 12422\n7875 19519\n13915 19289\n377 6501\n4954 11382\n12778 16543\n12397 18056\n16430 19144\n14648 18887\n11651 18767\n907 7347\n196 6867\n12554 13380\n13798 19366\n636 6098\n4421 5547\n203 2500\n7211 7702\n7184 19117\n4876 15165\n9601 13229\n14193 14837\n6944 15128\n2440 8829\n2584 5549\n14670 16358\n8812 16910\n1905 5460\n11181 18556\n13556 19233\n657 14180\n8663 14889\n13571 13664\n10457 14375\n18851 19418\n5274 13676\n14632 15364\n3815 4896\n4513 12979\n1165 15094\n1610 14161\n16081 18124\n2869 3157\n3379 3707\n3011 7738\n13380 15625\n9560 19828\n10303 11983\n14890 17364\n4937 13778\n6641 12206\n10048 11646\n5849 12678\n5078 8364\n338 13308\n3614 14378\n11808 15276\n787 12858\n3599 6808\n7393 7418\n139 9220\n9572 19358\n7786 11080\n4904 16258\n6919 19702\n5015 10777\n19131 19249\n10465 15795\n6858 14717\n2391 11998\n1824 7595\n6684 17680\n4493 4969\n7434 12405\n8098 13358\n2619 20044\n7687 20055\n9458 14273\n791 8819\n1494 5634\n7927 14188\n5364 9590\n1783 16547\n10072 10266\n3480 7517\n12093 15265\n1771 11094\n4038 11149\n9652 15299\n9692 19968\n15060 17936\n4096 13950\n16698 18816\n762 5147\n3183 9323\n3484 15920\n7087 9541\n2095 14250\n2111 11896\n6703 12557\n3197 11635\n11578 16748\n5730 19967\n4860 12365\n633 1661\n2567 8157\n13099 18288\n5043 19618\n9646 10757\n3900 8213\n474 18139\n9388 11039\n9551 13193\n11720 15117\n3179 10814\n16607 16954\n5953 6993\n8685 14127\n6024 17988\n7848 9842\n19442 20220\n3937 20186\n8311 13612\n4622 9512\n14103 17827\n405 16552\n4704 16015\n13589 13944\n3708 5236\n5158 7636\n5004 11856\n5075 12292\n1465 13285\n3704 7497\n1583 7883\n4061 20209\n13294 13358\n4782 16071\n8778 19854\n8296 12203\n9279 18194\n10436 13569\n8203 17265\n17614 18228\n14029 16295\n8031 18495\n1890 17336\n5484 5692\n7264 15455\n9513 18858\n1198 12715\n8581 19443\n3265 5591\n16044 18239\n1708 15203\n228 20063\n1647 12133\n10022 17272\n2140 7948\n6772 9392\n6810 12502\n4293 5727\n6679 15966\n12437 13190\n1479 9972\n18062 19657\n5583 12627\n48 6812\n8510 16088\n12605 18756\n2957 5348\n237 6966\n4730 6038\n14870 17014\n12485 14927\n4284 17292\n5442 12926\n5050 8371\n15917 16950\n7756 12010\n9994 15701\n7234 15676\n350 10612\n13534 16023\n13326 19557\n1657 11702\n8225 14554\n1162 4737\n3207 14591\n425 6343\n2872 5903\n5496 12909\n6655 11520\n2920 5152\n14623 16059\n15597 18450\n7502 9493\n8036 18074\n5819 8067\n1073 10123\n1483 17365\n37 19806\n4739 13956\n8961 16998\n4432 20235\n3843 8800\n3080 13092\n1972 17551\n735 6977\n15278 18014\n4133 8251\n1340 5221\n361 16703\n2546 8995\n3799 7764\n11301 13579\n10512 18533\n4879 11019\n12254 14671\n597 9542\n408 14989\n4215 11505\n982 6536\n13668 18378\n16413 16923\n4792 11882\n10379 10467\n10469 15241\n1361 2097\n4864 7448\n672 2161\n4851 5624\n3178 8855\n55 19198\n4700 14738\n1555 8186\n14274 18361\n11211 19451\n7700 17067\n2022 6545\n3801 17552\n18911 19024\n96 19863\n627 13838\n14790 18096\n12529 18113\n15297 18515\n7457 17660\n10726 16719\n9451 15309\n5384 20172\n12091 15019\n8382 14500\n48 6062\n13865 19938\n2627 16682\n4124 19868\n10339 16777\n5819 8324\n6695 20054\n4834 18518\n5526 15167\n4247 12273\n3011 8511\n1803 10171\n11633 19612\n13583 20277\n17576 18770\n3534 18535\n4484 16302\n13985 14902\n5862 10089\n3071 4166\n7939 16204\n3918 7975\n2221 7472\n3672 12546\n18686 20005\n3661 16375\n11408 15212\n18295 20232\n15726 17685\n1440 19101\n7304 13351\n9306 19958\n18972 19391\n4023 19909\n8120 10322\n4899 6085\n9541 15352\n1336 4589\n8019 16119\n16326 20271\n7314 8622\n1695 16458\n11121 11508\n1651 17239\n17943 19971\n10300 12703\n2094 7580\n5872 11344\n4535 14379\n10997 13018\n3052 11128\n16113 18511\n648 8804\n8015 13544\n10936 19571\n8996 13425\n1171 5131\n1124 5449\n11593 18498\n4495 15135\n4312 17225\n17329 18693\n7387 13924\n5823 6719\n13185 15014\n5501 17143\n5091 18631\n5086 14604\n6986 10734\n2250 18998\n10757 11164\n2125 8246\n2583 7523\n1834 8906\n3280 19692\n9457 12865\n6453 7025\n635 11353\n8414 19425\n1021 9863\n5545 9174\n3767 6773\n1373 4138\n14110 14735\n1493 11461\n205 4771\n6273 18501\n6719 10454\n6278 9635\n3477 13033\n4009 14338\n6917 14280\n10557 17061\n868 18709\n1633 15554\n3786 20198\n4317 9623\n1585 13636\n1100 18896\n3955 19367\n7453 19332\n4050 7047\n17863 19653\n8714 13739\n14678 17490\n11211 19165\n10717 12773\n6543 7843\n4140 12784\n10190 12696\n1028 17893\n10215 15569\n7103 8561\n8795 9777\n2565 9636\n524 16000\n2738 20273\n6591 12170\n29 11795\n9924 12762\n4082 12102\n5111 5149\n4549 19217\n15268 17789\n5820 15070\n948 2698\n652 13058\n7973 20138\n3541 5542\n3685 4627\n3624 14807\n5451 8806\n14990 17082\n525 1371\n4915 17204\n714 19348\n12634 15019\n8722 15369\n16301 19530\n1361 1599\n13845 15706\n7032 14454\n13746 15483\n4410 10558\n3810 15434\n5367 9134\n590 6722\n8925 17365\n1206 5346\n698 18319\n7725 9539\n1629 10820\n8732 17108\n8507 16605\n13282 18598\n8461 13800\n12558 18168\n8210 14731\n2439 4868\n658 11808\n14571 16995\n8612 12846\n2808 17768\n6398 9615\n5918 17260\n11438 18185\n8854 19367\n1735 14264\n2418 14335\n9108 13114\n10716 19962\n10083 13662\n10926 11966\n15287 16480\n2698 5806\n3999 14194\n19422 19793\n11988 12587\n204 6210\n7330 12278\n1062 8809\n603 17179\n1560 15843\n15439 16721\n8536 17517\n4841 9557\n8630 12593\n2490 6608\n2201 14303\n2559 11853\n1970 4608\n15989 19157\n6544 7327\n2063 11495\n4139 8563\n10275 12798\n1545 14873\n3366 13328\n15922 16754\n10498 16471\n4886 16128\n4503 12750\n10044 14176\n14267 15062\n8802 14280\n8801 11047\n2036 11602\n1579 6230\n7165 7526\n156 5612\n3951 7064\n3170 7594\n15126 16859\n11654 18144\n3724 14977\n9069 12299\n3458 11482\n3470 9451\n9250 12460\n13277 15867\n4271 17174\n9160 16506\n7425 7986\n1634 18663\n5414 15798\n13223 16238\n298 17490\n4005 4457\n87 8851\n5605 16489\n7356 18649\n476 1570\n7258 7567\n16132 16926\n524 5169\n13815 15324\n298 13485\n6908 13370\n3229 11023\n1027 3031\n11362 11624\n15142 18163\n335 14886\n7928 18432\n4456 12981\n3174 19844\n3275 10776\n3277 8645\n162 13619\n3564 17956\n5454 13228\n6196 15840\n4975 13753\n7126 13825\n16341 17224\n16208 18641\n671 11857\n2042 15182\n7923 19929\n1019 9406\n6875 16662\n4183 5492\n6907 18874\n1742 3455\n10567 18584\n3239 3434\n5125 8373\n3979 7055\n9008 18666\n15109 18367\n1031 2136\n2670 7469\n1200 19757\n10334 11000\n8433 10995\n3555 6254\n3839 18777\n596 19031\n3774 15238\n2134 3918\n4467 19892\n30 17219\n16497 19433\n3681 11633\n2521 12879\n14415 15425\n5834 15220\n4347 17790\n3203 17571\n2806 12921\n4265 20094\n5729 9424\n350 9941\n1695 14474\n12842 14276\n13849 14368\n8267 15067\n7167 7179\n10684 15720\n3518 14082\n3917 19564\n5070 7912\n12 608\n506 883\n2001 14765\n3560 10079\n15639 18884\n7793 17693\n9874 19564\n5247 7651\n1554 5927\n3239 5134\n16282 16895\n818 12884\n652 916\n15189 18054\n924 3893\n3588 19194\n10927 18573\n1316 8046\n4698 8493\n3200 18592\n9366 16943\n5137 14210\n5907 15049\n16775 18219\n6693 10566\n4317 18228\n5608 13516\n9139 19960\n10635 12550\n4253 8585\n9335 15033\n3412 6699\n11047 18801\n16780 18267\n14633 15420\n16583 18970\n7308 16146\n7654 13392\n1950 11272\n9267 11228\n11135 13587\n14080 18542\n18340 18514\n1969 16733\n11923 14949\n809 14249\n3228 11252\n6210 11021\n1718 15334\n748 14961\n3928 10901\n15160 15997\n11907 18872\n4064 19013\n14608 17893\n3690 8718\n9639 17873\n2325 13198\n625 5885\n4656 11463\n2984 15234\n16729 19971\n1461 2728\n7497 18364\n8127 19599\n3091 5774\n9264 17004\n6397 7344\n3707 15130\n13312 16907\n2390 20187\n8627 12380\n8172 8673\n661 6535\n728 15225\n1696 16143\n14543 16574\n12453 15123\n5513 11966\n12117 16243\n1402 11715\n3362 7245\n5410 12779\n3149 17705\n2149 10064\n857 14180\n7591 17823\n11637 19904\n6868 15334\n2892 19766\n16667 17324\n4965 11105\n157 3815\n2542 17758\n6253 11897\n1642 2449\n3257 8788\n545 10224\n5039 6791\n5593 10002\n9036 15138\n14122 17171\n5822 15310\n432 5512\n913 5637\n8806 8902\n14457 16948\n18033 18354\n12196 16975\n4295 16176\n2919 5314\n9649 12787\n5354 11779\n14153 16333\n1004 11814\n1658 19120\n10241 11018\n9056 17893\n1591 3089\n20 13129\n8043 17211\n1998 11431\n11698 19096\n2852 8369\n2902 18416\n255 8208\n1935 15342\n1471 7719\n11910 12093\n901 6578\n54 17044\n7807 19597\n4177 17058\n12432 18039\n16541 19925\n6165 16826\n11425 13578\n208 17092\n4198 19887\n1457 4236\n5346 7780\n19128 19744\n174 3712\n500 7158\n5771 9631\n9498 15879\n2532 15942\n15139 16012\n9538 15490\n3679 8275\n4723 8348\n11230 11461\n2851 14278\n13640 16461\n5807 19655\n10456 12104\n4143 5432\n9209 9730\n16795 17465\n3017 14219\n13312 19927\n7337 9108\n2068 2532\n2334 3043\n13230 16796\n4246 5378\n6310 13366\n16936 18647\n5537 6114\n11843 16848\n15185 20060\n11406 12722\n9776 18182\n4109 12821\n961 15054\n5692 7613\n8333 18458\n4478 10764\n2930 14061\n1783 13289\n7749 13906\n7228 19843\n1298 9815\n6539 19787\n12629 16400\n3456 4060\n10164 16444\n14437 16929\n2524 7035\n9279 10444\n7875 15018\n6411 8503\n737 15207\n831 11800\n7712 9014\n9202 19190\n9429 11670\n14282 15685\n14105 16255\n11380 19926\n6232 15544\n18153 18561\n16064 17795\n7869 9636\n11300 13827\n4603 9951\n2549 17494\n6256 19152\n2847 12183\n2770 15917\n12415 20005\n15151 17696\n2181 16386\n3450 14670\n9770 13925\n6152 16719\n104 16218\n7777 18611\n2886 16919\n580 11524\n15948 19765\n6492 8254\n6843 7976\n2839 12142\n4787 16744\n462 14280\n1352 17392\n3338 18659\n17309 17520\n1472 9286\n15503 16447\n12080 14701\n7705 15864\n18836 19580\n11544 14532\n5910 11042\n16640 19668\n11183 14833\n5651 8492\n2341 15617\n289 7266\n3621 19394\n10441 17131\n10352 13463\n10739 16138\n3855 11097\n1655 16537\n14694 19437\n1589 2156\n8962 11443\n14757 15498\n5207 19666\n13005 17738\n3149 5767\n2775 7660\n9998 14680\n1735 6036\n7120 9277\n5095 7565\n2361 14259\n4591 14060\n10116 19835\n4677 11123\n9028 14143\n252 15181\n2904 18219\n3178 3466\n4167 12583\n5050 13510\n582 17174\n636 5064\n2051 5279\n10758 16676\n2126 7355\n6605 17749\n12189 17112\n5904 12993\n8244 18028\n5759 18735\n6770 12023\n11150 14994\n15266 18713\n8242 14255\n1400 3299\n3151 9675\n12458 17764\n16456 19861\n89 12346\n469 11592\n5512 6142\n2301 19591\n752 19333\n1163 10770\n13458 16222\n6325 8225\n324 4790\n2955 8976\n13107 15465\n2568 10545\n5034 5482\n13125 17807\n4461 6311\n617 1395\n2760 4836\n6239 8021\n8022 11954\n5539 11729\n1700 6441\n13822 15186\n12768 17792\n13277 14481\n3946 14315\n12719 17234\n3263 3773\n14079 19258\n3499 16316\n15584 15722\n2375 16953\n9847 11668\n8910 9032\n15913 18184\n6905 10161\n13462 14126\n11725 14446\n6114 15520\n14031 15233\n4714 14389\n2562 9323\n923 16810\n10986 15935\n8728 13293\n546 7844\n1987 18659\n19040 19877\n15228 17111\n2276 4061\n5987 20009\n5658 18218\n7875 12283\n772 5170\n10778 19093\n632 16052\n3298 9999\n8287 11186\n2142 5426\n9060 12978\n4460 5927\n17220 19912\n2604 9198\n5799 20102\n12683 17112\n166 17260\n7066 17087\n10260 12113\n921 2337\n3581 7812\n16547 16564\n9498 14072\n1086 15118\n8518 14506\n2442 11442\n2046 17948\n2723 9230\n1956 3608\n11280 18277\n6324 18672\n4118 14501\n491 16010\n460 5916\n15281 20210\n15185 15483\n11209 19245\n74 7301\n2933 9095\n3598 20058\n12914 16543\n3204 17093\n470 13914\n13214 15334\n9169 9313\n7054 14722\n18658 18985\n7957 9183\n14653 14910\n1827 4826\n9257 17387\n6602 14007\n2562 4425\n5499 14526\n2255 15097\n9601 12945\n880 1159\n7390 10641\n3828 4445\n303 19839\n3909 17083\n3131 13127\n5138 18588\n6734 8497\n1201 13019\n3558 19650\n7783 12853\n4414 8799\n674 16561\n784 14450\n3061 16347\n7641 15670\n17694 17776\n12282 17325\n14011 15905\n602 15123\n7252 7941\n2502 4488\n12313 19653\n10842 13187\n15339 19218\n3291 15279\n9466 12746\n5586 7159\n7497 8639\n4981 9455\n5972 11680\n6033 15791\n9726 10209\n6162 11039\n11325 16081\n8693 9755\n2006 18464\n6935 19782\n302 888\n4771 11403\n1551 5472\n17066 17921\n8061 9729\n2118 17126\n14769 17713\n10414 15002\n3247 3620\n12606 19490\n5817 6744\n4065 8245\n15288 19997\n98 1404\n10557 15802\n1370 2579\n627 2116\n12393 15049\n6389 17583\n2779 19634\n10778 17449\n10726 14682\n2904 8303\n9229 18672\n14785 17570\n18681 18981\n1916 8344\n2373 12920\n10302 16461\n10407 10604\n6441 15990\n13832 14933\n10817 12261\n12666 15296\n4569 8339\n877 6699\n2213 9419\n2341 7429\n981 4354\n4662 17643\n1429 9632\n6999 16688\n626 19474\n16688 17331\n883 16798\n14699 14798\n10717 19104\n830 15716\n3594 9477\n2577 17018\n6061 6996\n5427 11416\n10868 14468\n10119 13311\n2147 7959\n2324 3678\n3827 8735\n15676 19379\n4665 17837\n4186 14022\n4334 18788\n7059 15900\n8745 17007\n11341 14402\n3925 6262\n19838 19996\n3520 17124\n11015 14437\n7329 13601\n2465 8934\n9526 11371\n2595 15358\n1967 12976\n13580 19409\n11471 13981\n5919 7718\n18008 19221\n2253 15954\n2903 9439\n6945 13458\n5023 12977\n3861 10939\n2555 14811\n2736 16364\n14516 15820\n9087 10082\n2370 8076\n4581 15696\n6184 14474\n10099 12608\n4948 20244\n1242 19388\n1943 11783\n11714 17868\n476 7065\n6725 16208\n1610 16860\n10204 14132\n5231 7778\n2327 9667\n5593 7888\n18444 20101\n4421 15553\n14790 17765\n10745 11764\n3971 6264\n3828 10832\n3789 19411\n3710 7920\n5190 7897\n7022 15136\n1820 3818\n6524 20022\n1437 2734\n317 9722\n3542 20070\n4996 11589\n7788 14042\n10090 18674\n13860 17457\n16494 16645\n9565 11116\n7915 12229\n5156 20074\n8597 13080\n4781 7865\n524 5195\n3123 13648\n1884 7594\n5135 16221\n498 6532\n2727 4942\n9389 9632\n4996 12709\n7918 12493\n701 9786\n3312 13747\n3586 19417\n17059 19161\n16117 18928\n12855 17831\n2622 18681\n5376 6525\n13148 17088\n4665 16472\n6441 15446\n12410 20145\n12087 17658\n3310 4920\n17378 17947\n3859 4292\n173 4423\n8499 12469\n5532 11418\n11259 20128\n14748 19706\n300 6345\n3400 8281\n3035 6453\n5901 13063\n8107 9492\n8369 17190\n631 13106\n906 3689\n10629 19147\n1324 13795\n7620 10741\n1172 15797\n5023 16105\n10373 15342\n1808 5232\n14848 17308\n13934 19429\n7748 11803\n1724 9355\n4221 18984\n8405 15126\n7198 17143\n4986 9185\n6157 19929\n8734 12387\n4707 18252\n4049 18857\n9584 16812\n7836 14015\n2490 3501\n1968 15738\n1657 3416\n1646 13819\n6919 8241\n6243 7882\n9230 18133\n18058 19134\n11944 17198\n7665 11738\n5482 20278\n9861 15922\n6774 14109\n9404 11743\n1017 3453\n9798 19386\n8570 20132\n12085 12562\n4278 9195\n12217 16263\n17952 19575\n518 6355\n2700 8136\n3026 10519\n5889 17751\n9164 20061\n7411 12689\n4323 9714\n10080 17053\n3839 19675\n6962 11227\n13912 17252\n11427 15296\n3063 13172\n2394 11126\n5317 13359\n11892 18623\n2794 11617\n2526 5295\n3467 18211\n3201 4068\n7732 15706\n12061 13828\n8175 16641\n556 6116\n12971 15728\n10334 11109\n11833 12326\n2188 5080\n11352 11681\n16051 17354\n10176 20223\n7277 11120\n14097 16677\n15068 15985\n3044 9995\n10563 17219\n4846 12533\n213 8548\n13370 17078\n11163 13239\n1060 11675\n9941 14502\n1101 8925\n1121 9792\n725 5967\n9870 15518\n5205 6957\n1425 18766\n17378 18083\n1167 14643\n5036 19834\n919 15063\n9409 17862\n9865 18539\n4414 9009\n1991 16645\n7483 9269\n14564 18903\n6963 18063\n3309 14710\n9909 16038\n5894 13964\n10498 16010\n5680 16459\n9947 16124\n8455 14427\n6973 13040\n4066 18675\n12300 17614\n12828 14688\n145 2824\n4238 12137\n11967 13808\n9015 12220\n4166 12335\n12769 19436\n847 1365\n5768 8607\n13859 15684\n4500 13134\n4327 7541\n1916 8283\n427 18446\n10583 13425\n2960 9475\n6639 16718\n15400 19061\n15113 19641\n13929 14833\n8263 18981\n12528 13324\n1835 13173\n6897 19945\n6004 18826\n1714 4786\n15058 16604\n16141 17079\n4753 10308\n2550 2964\n7633 12133\n11834 15292\n8635 11373\n5172 11078\n2430 5392\n1025 13551\n5602 9041\n6925 11637\n8998 13718\n1476 6740\n945 14524\n12190 19776\n15923 18729\n1456 7340\n6554 10872\n1823 16486\n18439 19933\n14700 15693\n3756 19134\n1576 6931\n17787 19301\n5922 19488\n2090 19589\n6760 7015\n134 18805\n3171 3573\n5483 8570\n6949 9773\n5849 19131\n5005 16931\n15875 19120\n6124 14584\n6877 14695\n953 6563\n163 5158\n3329 7534\n6414 8861\n3809 19510\n10939 14117\n5221 13606\n8210 13468\n19970 20095\n10497 10832\n2062 19650\n16559 16600\n12819 16748\n719 14572\n8836 12900\n16519 16616\n4516 12959\n4550 11159\n894 15535\n531 10512\n10752 11321\n7519 16590\n7367 9170\n4975 17690\n5316 12941\n611 11487\n210 4574\n11498 13246\n1349 8272\n1284 9647\n2743 17792\n456 7716\n5319 6544\n3743 8055\n3535 13665\n13564 20274\n13703 17673\n15115 18743\n4081 10628\n9159 15023\n1211 10415\n8170 16559\n1390 9719\n8471 8610\n9689 19022\n7989 19645\n7522 18948\n1267 13960\n10623 16869\n17177 19446\n3810 17447\n15682 20095\n4041 6582\n2617 18931\n3985 6648\n2940 13105\n1686 13620\n9245 19690\n1969 13297\n2505 9747\n4685 19724\n610 16365\n7680 19741\n6536 15148\n8752 14562\n4631 10571\n5160 5947\n9725 16502\n3420 19867\n589 11783\n15459 16160\n10106 14621\n877 11069\n1964 2346\n1284 14893\n7891 11037\n4396 17001\n5156 11705\n16873 17900\n1225 6971\n9002 18882\n13005 19160\n15242 19651\n263 17744\n11330 16073\n8412 15046\n13776 17714\n6023 13541\n9714 16010\n3760 15630\n5181 18197\n457 16840\n3006 5502\n10275 15836\n5775 11924\n13023 17176\n5896 13611\n10270 13616\n16415 18849\n8219 16479\n593 11247\n2020 13077\n1281 9585\n8192 18732\n73 6302\n16166 16913\n7125 16349\n18095 18176\n4009 14397\n4367 16261\n9869 17932\n5177 15579\n5841 8037\n2835 10564\n10881 11053\n593 8688\n2992 8738\n8517 13118\n1840 12286\n5510 11092\n8335 11802\n641 6662\n9125 19285\n7055 8565\n6099 13459\n11915 14784\n372 11047\n8161 18333\n11458 17203\n12370 14307\n5932 12318\n6420 12704\n5630 16316\n1979 3275\n4403 6422\n13183 17391\n1450 2989\n1490 7824\n391 7943\n4841 19230\n2983 15803\n5873 18626\n4651 17124\n7821 16222\n7455 7498\n8301 20195\n2610 17728\n18864 19556\n3925 11784\n8131 16076\n181 6808\n5304 19247\n366 15722\n9822 20064\n6194 8975\n5806 20104\n3859 9454\n4849 5085\n8434 9648\n3197 16784\n12735 16612\n7860 15696\n7890 18545\n2055 15861\n4805 11053\n5059 13111\n6085 15445\n4160 6668\n276 12744\n2189 15356\n6209 16304\n14128 20273\n7604 10358\n2497 4312\n9144 19977\n12216 14705\n9456 16295\n4899 14320\n13033 13569\n10240 18401\n5838 14198\n10637 13900\n3824 11936\n3496 20026\n12897 19924\n1777 18055\n1296 8089\n1591 17046\n2393 13479\n3401 14970\n12343 13223\n229 13763\n17682 20077\n2557 9089\n472 1703\n14714 17179\n16705 16991\n16158 16633\n2158 7094\n484 9842\n1568 7596\n3419 15523\n5878 10153\n5625 7523\n3910 5139\n2103 17732\n303 8725\n11338 14356\n3745 19531\n3840 4523\n4113 15128\n976 11203\n3486 15524\n8603 8989\n10137 16822\n2871 8267\n1739 18898\n4048 15834\n390 19391\n10223 12669\n8622 12596\n1902 14716\n7640 10342\n1008 11527\n4804 7773\n9099 17037\n15983 20272\n2240 20278\n1564 7473\n5820 20271\n1061 19482\n2349 20251\n1910 2039\n7059 8879\n1772 2866\n1685 12501\n10045 17984\n4936 18516\n3509 15528\n15036 16748\n13950 18101\n5236 8979\n16481 18028\n14325 14934\n7721 17448\n2531 7786\n9668 16339\n4869 9408\n15350 16093\n1705 9862\n2481 10029\n4299 7221\n5353 17650\n3490 15849\n10934 16170\n1762 4772\n8189 17148\n5627 18184\n10248 14977\n5621 12223\n2303 16898\n14438 18847\n5399 12453\n10938 16319\n1106 3598\n8036 12783\n917 18495\n14284 15695\n8812 15968\n6577 15294\n3101 16643\n4296 17919\n7736 11111\n16777 18800\n10582 17371\n8517 19857\n9387 9864\n7856 8309\n346 19941\n9482 9990\n6770 11476\n16980 17971\n4744 17228\n3001 9027\n9771 11721\n3624 5098\n8253 17191\n8902 12374\n11668 19471\n4822 15505\n2647 17142\n4383 17084\n3809 11141\n7969 16677\n2545 19635\n9708 17566\n5861 14126\n9508 14319\n8125 15485\n17123 17488\n3507 7597\n11661 19756\n2340 16088\n1597 7883\n3296 13487\n34 4773\n11628 15488\n7690 14880\n15044 17322\n9999 18230\n3208 4786\n11891 20064\n16520 17929\n2190 15208\n5731 20239\n2824 10074\n2745 15589\n3267 7774\n13618 17110\n12390 19081\n3988 14662\n880 17437\n5934 11856\n9563 14713\n5857 16818\n6255 13403\n2075 18685\n196 12367\n17054 19512\n4734 14914\n1926 17538\n1946 10492\n4842 12103\n13329 16076\n5699 17965\n273 6157\n2986 10883\n16661 20185\n7991 17377\n3581 7104\n2607 18800\n4001 15279\n4697 7539\n7534 16702\n4919 8631\n1419 12917\n716 5848\n3019 15961\n6166 18013\n6896 14175\n516 11467\n7584 16498\n735 2625\n1660 4742\n4553 13188\n13850 18646\n16338 18885\n12638 18719\n1301 12306\n9419 17129\n5827 14730\n6132 19651\n10610 17247\n1482 7984\n4684 12290\n4297 7396\n5286 9949\n1420 9442\n5195 15143\n15468 17697\n9155 12117\n916 9894\n744 17253\n7529 11128\n984 3532\n14044 19644\n10530 17763\n7450 19440\n8668 11061\n8969 16045\n15102 19806\n13392 18048\n3949 11876\n2274 16009\n12988 17986\n4398 9412\n8627 10361\n2002 12041\n5505 17526\n1733 18437\n4023 9586\n4519 9074\n4983 9924\n5400 10159\n5769 18822\n2863 10284\n2777 7681\n9753 16610\n7524 13180\n10796 14016\n6547 7484\n6955 10708\n505 19520\n6435 19036\n3221 19158\n4075 9605\n6354 15087\n1262 19363\n4147 14696\n6289 17886\n17323 17511\n1538 12635\n10763 12174\n4500 9546\n1729 6431\n2713 19443\n1333 11600\n9807 14276\n2984 5452\n8116 18383\n1508 1986\n7502 7920\n3568 20118\n4194 5294\n12095 12621\n7744 11794\n1236 17081\n6891 15223\n7105 12292\n13746 19552\n484 566\n7541 7934\n5405 16566\n6078 18423\n398 11292\n4366 5340\n15726 19661\n7403 10406\n3946 7469\n9810 17871\n1131 16314\n7696 14640\n2923 12906\n9856 16829\n2318 5105\n15808 20162\n6856 18586\n282 4352\n1707 16645\n7512 10337\n15063 16642\n5676 18527\n7168 10382\n4713 12784\n7598 19057\n9372 12703\n17001 17216\n4991 5215\n10252 13978\n11511 12543\n3866 13915\n8537 10366\n9913 14951\n3723 6506\n4767 13176\n17238 17889\n6455 19440\n10644 20133\n9103 17362\n4113 8694\n1205 5047\n1905 18388\n8191 9560\n9833 14795\n7019 9518\n2654 15650\n12931 17938\n6284 10773\n2946 19713\n6102 19295\n6407 6474\n17355 17464\n2064 4339\n5122 7159\n3880 7745\n1027 5381\n102 7668\n7529 13928\n4967 12616\n290 9863\n8321 20233\n11345 12145\n6522 7093\n251 20171\n6394 18376\n8797 13186\n485 10139\n2141 19289\n8996 9711\n5836 15237\n10594 13326\n3197 6135\n9800 11454\n8638 13574\n10910 18860\n8517 20261\n1786 5449\n269 4254\n10130 18524\n6019 6507\n2030 5617\n6588 18433\n7079 8950\n305 17703\n4906 10329\n355 10121\n3561 17938\n717 18309\n9031 18992\n16004 18512\n10889 17215\n17023 19905\n18208 18730\n805 15433\n7449 15107\n8247 16598\n2082 10855\n11977 19595\n737 8990\n8943 11395\n8200 12830\n10857 11392\n10961 16495\n9929 17865\n181 18555\n3525 18519\n1813 2637\n54 20239\n11121 14947\n476 10851\n8885 14733\n12092 18570\n11882 17311\n1105 6853\n5983 18629\n12664 19895\n199 11855\n10373 15052\n6443 10399\n2448 20251\n8596 9082\n3900 11312\n6644 13744\n10894 19586\n1820 9473\n7737 8303\n8366 17186\n6262 19397\n11277 17396\n7595 8682\n4457 11811\n11043 18051\n2311 17568\n12470 20150\n745 9731\n3692 16913\n855 11074\n317 13365\n6020 10475\n334 8524\n3881 10125\n3757 6106\n6083 18074\n16593 18746\n6074 7664\n4552 13171\n1288 10072\n2254 12643\n6060 7044\n85 7084\n2177 7673\n15492 18790\n12105 17473\n3969 6292\n5271 17668\n5367 8175\n708 8143\n943 2776\n6014 18902\n5634 17360\n5377 13319\n1291 17642\n6735 17171\n2765 10047\n12509 13503\n6804 15611\n3550 4344\n4063 18192\n2740 12988\n17679 17916\n7044 15897\n15566 17899\n17052 17894\n9931 14547\n2961 12855\n14342 17110\n9206 17630\n10101 11399\n4174 9765\n10542 16568\n3879 13286\n11430 14709\n13642 14193\n14493 18463\n3191 4250\n2035 16958\n7971 15918\n6783 12433\n8254 9524\n8144 15223\n8152 11880\n6106 12423\n410 11242\n3176 10252\n8149 8397\n11814 17964\n13219 13680\n8982 16304\n14767 15982\n10726 14751\n3251 3973\n8891 9526\n3700 9034\n4936 14770\n15992 18363\n7201 20232\n5240 12457\n3420 20099\n109 12711\n7378 15307\n3207 4213\n5283 9642\n7740 11905\n2856 7654\n12082 15644\n14131 18524\n10400 12242\n12219 17091\n13673 13877\n208 16361\n1323 19896\n2600 7978\n834 9153\n12681 20252\n1369 14929\n815 4519\n14090 17874\n3229 10755\n2618 15758\n2666 13994\n5417 13092\n2753 2848\n13643 17899\n1673 14491\n2866 14538\n13837 14435\n4306 8007\n16527 18781\n8762 19849\n9070 18977\n10143 19649\n1669 2400\n880 5549\n7447 15016\n10907 18957\n10560 13364\n103 17901\n5178 17140\n6623 17317\n11994 17654\n2242 5753\n17064 19041\n197 3611\n2917 6079\n6600 11542\n2429 9372\n9064 19272\n9142 16251\n5491 12207\n407 6256\n5181 14160\n9566 10720\n3502 17701\n10211 15969\n1561 4145\n10355 15186\n144 15640\n17843 18055\n6217 8697\n3139 15617\n12031 18975\n8604 11990\n10817 20124\n10628 18034\n8266 11895\n5941 7322\n11345 14557\n3204 17020\n1750 14160\n12450 12961\n161 18465\n6698 15294\n4910 11262\n9188 15814\n4113 14195\n11563 19807\n4855 12977\n5235 9795\n3032 13768\n1078 1198\n12812 17871\n622 5564\n11494 18061\n10864 15863\n6278 18809\n11700 16334\n4949 16564\n2117 17672\n1508 13275\n5060 15743\n8999 10054\n2688 10213\n10142 12582\n419 16407\n1046 10474\n1863 10830\n3491 17722\n11688 18095\n2867 12346\n561 702\n15703 19171\n10152 10349\n1463 6680\n2164 14579\n8948 13358\n7363 11448\n11504 15301\n2621 14927\n14027 16760\n11027 16056\n1759 13855\n7493 20149\n4447 14005\n6219 8777\n7582 8427\n196 6643\n1252 9910\n11969 16474\n10955 19346\n5686 11831\n1256 18686\n769 11904\n2133 5576\n11843 19893\n11286 18855\n7694 12182\n12788 17868\n7934 18022\n181 17977\n16375 18352\n187 10245\n14175 19107\n7180 17172\n2074 13888\n4764 15076\n249 8374\n853 14973\n2595 6497\n2606 18094\n4088 19681\n1331 14336\n3434 14407\n939 13454\n10770 18498\n14756 17462\n6150 12827\n6995 14356\n1449 3212\n5607 19333\n4977 10411\n6014 11743\n5901 12712\n10905 10906\n3905 10353\n15276 19713\n11259 19365\n4051 5715\n2168 12782\n4639 17999\n15104 17158\n11214 13395\n2036 16204\n8359 11792\n6862 11365\n7255 12216\n3900 4602\n1682 7714\n246 12791\n1908 2332\n3224 16189\n1394 1843\n1795 6826\n9689 18305\n6948 14255\n3099 6533\n6974 10872\n7619 17050\n6933 15951\n10695 17279\n3856 13236\n8009 13329\n803 7105\n14662 15861\n6746 14568\n2204 16202\n9514 19124\n2264 8983\n1397 10366\n7045 8943\n4547 18207\n4957 6637\n587 3401\n3197 4229\n1865 9513\n716 18866\n757 18702\n8069 15418\n8787 18861\n13076 18282\n1081 3623\n10044 20275\n5037 5406\n2928 5173\n1579 7713\n1534 11393\n1658 14024\n2537 16446\n1696 9153\n896 13215\n6302 8297\n4967 7224\n4469 13336\n1742 10199\n6623 16978\n1437 12801\n2503 17137\n8856 16118\n6504 12004\n1575 10856\n694 19939\n8115 14213\n5647 18043\n3159 3377\n6328 19356\n458 9202\n415 10604\n615 869\n2743 10099\n6938 18929\n374 18637\n5088 7597\n7535 15672\n8125 13017\n148 15753\n7582 11815\n4417 17083\n1468 3742\n5640 17846\n5430 5982\n9686 14070\n12558 20172\n3353 20153\n8418 17367\n14832 17156\n3989 20224\n6647 14455\n4023 5928\n6494 8220\n2468 19915\n3427 15317\n11668 20187\n7734 16406\n351 12069\n8458 9271\n1484 7573\n1667 6367\n12490 15629\n5060 11761\n12584 19605\n227 16725\n14756 19739\n461 10620\n151 5348\n6137 17671\n6691 9215\n5234 9791\n5680 19241\n3499 13341\n7606 16136\n5031 20184\n10955 11113\n5087 15769\n8424 12650\n3455 16075\n596 16466\n10878 12200\n490 11618\n9175 10923\n1632 5778\n2495 19821\n12779 15080\n3648 20115\n11348 15476\n8177 11470\n5004 10580\n7182 8943\n6370 10192\n4627 13508\n8189 18403\n76 2938\n9003 13348\n6724 8304\n12222 15576\n10083 15557\n5956 6377\n2111 11100\n3357 15482\n5882 9621\n171 3090\n11043 15895\n6413 9961\n2393 19652\n2091 12180\n2928 4774\n1329 10492\n5561 9358\n6739 19441\n9033 9326\n9789 11231\n7204 9870\n1866 17360\n9181 17261\n5437 16652\n6167 8134\n2922 3581\n16 122\n8171 18281\n4784 15608\n17911 19922\n170 18213\n6883 19450\n9061 9121\n8109 17648\n1223 12612\n11610 11848\n5327 7863\n337 8261\n5107 19634\n3045 16423\n5697 11306\n10069 10932\n10116 10444\n1769 15548\n1761 5424\n1409 14263\n4541 12471\n9274 15010\n3692 14153\n7751 12962\n679 5487\n528 6480\n5600 12373\n1952 7074\n2526 18829\n2994 8077\n7225 18256\n5213 15598\n4191 9293\n16091 20049\n94 18544\n12818 14158\n5659 10330\n5133 15836\n3513 7657\n7560 19201\n1948 4129\n758 7617\n7575 17917\n5439 11134\n9855 10913\n11465 16425\n11523 18241\n2202 8004\n5088 11326\n4673 16954\n847 12226\n8799 16708\n13870 19349\n5368 15702\n9930 17042\n12012 14026\n10250 11529\n18840 19555\n2391 20033\n1196 12907\n11958 16788\n10846 12478\n4 14712\n4088 5940\n5039 14560\n12028 17262\n8891 10554\n14032 18797\n7062 10876\n19473 19615\n2296 7700\n7075 7678\n9277 15021\n666 2376\n15164 16656\n4387 18520\n6163 8688\n13590 16494\n13993 18058\n6828 16822\n110 8298\n6644 12035\n12353 13235\n4042 12691\n583 9383\n14211 16861\n16855 17442\n4825 5278\n17137 19389\n5608 19673\n73 2763\n1494 15211\n10879 15183\n11647 11704\n2859 4900\n4021 18111\n9242 17333\n13702 18169\n394 19801\n392 10039\n2960 9180\n4961 19411\n8221 10250\n1107 1569\n15024 17729\n12870 13273\n7135 9476\n4019 14866\n10233 11734\n6350 16047\n11644 12294\n142 2247\n5973 15132\n2760 7451\n3426 9397\n10048 14203\n646 8649\n2688 13927\n746 19130\n2126 12371\n9947 15239\n6214 6227\n690 17411\n45 5712\n782 7514\n13625 13639\n2000 6556\n1281 6614\n10573 11701\n2048 12059\n14082 15262\n3155 4950\n10515 19464\n5391 18180\n10861 19979\n3741 8148\n12418 19291\n11866 15445\n230 926\n14625 15655\n6429 18125\n10804 13188\n13282 16759\n1089 13783\n2316 3992\n5449 12139\n19490 20276\n1173 3494\n2171 5991\n5481 8182\n10942 18816\n11261 19398\n2304 19127\n131 14128\n11299 19821\n13838 14067\n14777 16180\n823 16695\n11935 16506\n9550 12937\n7528 7966\n7468 19441\n3057 16378\n2352 8480\n3293 11611\n3713 6928\n12387 12646\n7415 20063\n2864 10487\n3992 11124\n11832 19282\n2936 3482\n1972 12011\n2537 15655\n10855 11449\n8706 9056\n14652 16611\n3124 10552\n3807 15127\n4714 6913\n2310 15361\n2878 16843\n7690 13200\n8531 11406\n5863 14491\n10523 18222\n2160 6030\n5741 17733\n9110 10794\n3627 19096\n182 18317\n6217 18497\n8065 11667\n1458 19067\n23 19828\n11142 17646\n13577 15459\n2739 12894\n9366 14781\n16383 18099\n11605 18133\n6857 8659\n2349 18008\n14368 17621\n1729 10605\n663 4609\n1535 6918\n8895 16076\n16944 17471\n2810 19232\n116 976\n7310 13234\n1462 6176\n8922 13267\n9380 18409\n7779 11236\n11184 12802\n2625 19532\n4143 14265\n1610 12497\n2371 5247\n3883 18112\n3304 3782\n3355 8681\n18868 20046\n1997 3304\n6649 9615\n289 6971\n9082 11221\n62 19233\n8975 15910\n1601 15677\n1547 11825\n10035 19247\n9257 19334\n7571 19280\n13240 13274\n12214 18058\n1547 12465\n554 11448\n2234 7825\n391 12292\n10188 18354\n6919 15433\n6588 11649\n4691 5578\n3181 16614\n1078 9152\n16171 19997\n3766 20175\n12039 15334\n581 7509\n3073 20269\n9044 10007\n3332 7179\n7662 19919\n6518 7926\n8949 11662\n9064 16787\n17852 20190\n1608 18301\n1231 10061\n7680 14834\n2961 19585\n8943 15979\n8107 10644\n1100 12901\n7529 14392\n3468 10900\n2920 5266\n17131 17289\n10872 19726\n14195 14615\n526 5793\n3292 9629\n13080 18008\n3823 9997\n11058 14499\n8169 14913\n10519 14420\n7902 12609\n4793 19832\n12244 12317\n45 15017\n4769 16446\n10342 19730\n1038 16309\n5728 18644\n8354 11729\n2154 5338\n4740 6603\n9818 20245\n6942 7381\n5814 9100\n8152 14237\n14383 17466\n1186 2967\n15541 20004\n3494 14260\n3703 8634\n851 7403\n7180 11037\n13326 18248\n11214 16589\n3106 4423\n12391 13298\n12745 15931\n570 4115\n6277 15623\n11431 12988\n16533 17980\n7733 18132\n4643 15110\n5273 14712\n366 6492\n12813 13217\n584 11060\n11881 18117\n2862 11908\n594 8147\n7395 8169\n5706 17231\n8169 17656\n14443 18513\n8500 16874\n14469 18590\n5719 7573\n261 11552\n5112 10680\n14468 18127\n12158 16442\n5902 17546\n16044 18535\n11262 11335\n3770 11713\n11844 15793\n11573 12425\n4445 15007\n10791 15348\n12008 14752\n6661 15546\n3022 10787\n6291 10222\n3596 8128\n2779 8154\n4109 9456\n10834 15295\n7157 10150\n4648 15163\n18761 19583\n13226 15809\n11001 12147\n10298 15569\n7675 17322\n4084 19232\n4460 19203\n7396 9713\n8639 10893\n6063 11393\n11640 17002\n6358 11174\n13091 14847\n6037 8360\n8490 14434\n6838 15484\n7686 18540\n2366 10461\n2370 10782\n2669 11134\n2029 19259\n2421 11613\n9189 17065\n1451 6840\n3189 5351\n3327 13447\n13462 14773\n14125 15767\n14136 14237\n1532 2778\n14208 15747\n7736 17989\n3706 11668\n2617 14001\n6248 16267\n1045 1682\n167 11203\n9340 9975\n7508 13936\n140 12560\n9032 9400\n10898 16435\n3976 5676\n4719 14751\n6454 11780\n15078 17174\n10304 14838\n8827 19326\n11304 13430\n9502 10955\n8830 14061\n3067 12416\n4207 8607\n5154 9412\n2160 17861\n10005 17125\n3654 11736\n10711 11501\n13965 14669\n5482 7261\n3148 18744\n12173 19982\n4388 19396\n12486 17150\n6307 7941\n6523 10785\n16137 17204\n9173 18288\n11832 19030\n8289 20069\n8644 16764\n9827 14104\n4719 16109\n8577 18847\n3156 6332\n4360 8698\n4471 8665\n78 9087\n5562 9823\n7403 16939\n891 15665\n9960 18381\n10201 14096\n11376 18588\n7581 11475\n2621 10975\n683 10269\n7035 13268\n5783 9626\n8319 15319\n996 1311\n5904 14296\n12264 12895\n944 1378\n17093 17592\n1195 17118\n1581 3271\n9711 13432\n7207 9065\n1519 2964\n4530 16821\n5469 18607\n7143 13024\n3168 8614\n704 3724\n15795 19969\n6852 14120\n4791 17162\n4443 19466\n1599 13624\n9520 19184\n16258 17093\n4804 10306\n2809 12697\n4596 8639\n13906 19430\n1651 16095\n12413 15318\n266 18376\n8672 16598\n10411 13238\n8894 11657\n5683 15078\n14168 15282\n7005 18705\n931 15724\n3493 12265\n1186 4069\n6067 17114\n2951 11067\n3513 14732\n7169 7435\n13976 17262\n756 7062\n4724 18123\n9176 10957\n9848 18951\n1709 17630\n9952 18827\n11894 12794\n3288 15141\n9351 11329\n3163 16479\n6454 15883\n7347 12694\n8559 15019\n8228 13485\n2967 17319\n1033 6985\n5098 13307\n5567 6235\n1640 13178\n13988 16970\n2974 9820\n7857 11384\n2007 10443\n16830 18155\n14104 14289\n14909 18614\n4157 13102\n14475 16778\n13478 16216\n1991 3251\n4580 7371\n5816 16921\n5419 8279\n12088 19706\n1906 16734\n1960 2367\n1806 15085\n11561 19514\n15231 15389\n7683 10612\n475 12083\n5186 8806\n16680 18900\n18094 18451\n9760 9907\n16249 17848\n3472 5133\n14047 16649\n14121 19961\n3816 15156\n2174 20140\n13324 14795\n3916 12378\n15930 18914\n413 6256\n2614 17920\n7285 18795\n16128 19242\n8507 19804\n13329 14608\n2785 16771\n4616 10506\n12279 14763\n7675 10805\n13460 13806\n991 13133\n847 4281\n2102 8137\n14378 18899\n1923 2152\n1090 15100\n10900 17746\n5184 19026\n11576 19976\n13084 19397\n1473 10226\n7161 7340\n8102 19719\n5311 19561\n10204 10645\n3265 17388\n17352 19062\n13962 17214\n3865 15499\n2016 5960\n9369 17055\n2509 6610\n11953 18828\n7310 15636\n13607 16384\n768 2470\n4006 16321\n4840 14997\n4906 6736\n14777 18536\n2944 20258\n9463 16652\n4822 19764\n1703 13358\n6404 9447\n5424 19686\n1802 3304\n18351 18545\n9343 14949\n1855 15299\n14098 16078\n4060 17743\n2974 9952\n8851 13539\n7495 12070\n11198 13786\n4019 20194\n9303 19509\n246 12628\n4785 14030\n4472 19849\n12061 16070\n5128 5692\n9554 18177\n10370 18894\n11797 17835\n8190 9605\n3519 15225\n482 16399\n1551 6808\n12834 17125\n4595 20289\n3424 11996\n8178 8652\n14470 19478\n15240 18865\n10997 18586\n9558 12479\n1897 12737\n1367 15935\n5576 11763\n3974 17632\n14712 18986\n4373 15831\n4792 9648\n7525 11416\n4505 13341\n16744 18560\n5786 14706\n9401 18122\n1549 14426\n8261 10595\n76 5027\n4782 7524\n5222 11611\n1362 18342\n9278 19609\n11322 13747\n1012 10026\n7072 19669\n2432 6266\n12395 17273\n5537 10699\n7236 8318\n633 10153\n12504 15592\n4302 14952\n8414 16459\n10940 13325\n3688 10024\n8822 13927\n7246 7437\n2382 16691\n2050 19928\n2763 12076\n764 3597\n4900 15270\n14024 15040\n9183 17055\n822 6572\n1778 13627\n4347 8324\n382 3299\n785 911\n14187 16248\n7213 12751\n9092 12816\n13563 20063\n5224 15571\n6199 10841\n1867 17393\n12291 18264\n12716 16136\n5803 19696\n17361 19972\n7142 8892\n8774 19795\n4514 15714\n8984 17430\n14934 16599\n8559 9635\n828 14577\n4813 16882\n7093 7927\n7047 19647\n17068 17838\n5982 18572\n1000 4562\n8617 16478\n6322 18274\n1233 11121\n789 19918\n4211 7906\n13030 14509\n10768 11591\n875 5718\n14333 18205\n9061 10808\n9484 10236\n4440 7711\n6873 11221\n3648 3652\n8989 15074\n9509 16351\n8723 10718\n5143 9154\n16495 17064\n5437 7502\n2360 11188\n691 3158\n4107 5648\n8983 13037\n13622 15464\n2170 15614\n3569 4903\n11063 15074\n1223 17407\n8937 13261\n1460 5907\n7232 7668\n9823 11802\n7253 7993\n6432 17227\n5372 6217\n4900 6955\n13154 19457\n10026 14020\n463 16055\n6914 10256\n2361 14441\n373 7588\n4741 17252\n15712 18481\n4424 5562\n7838 9328\n14523 15011\n4836 10589\n4839 12279\n9058 14662\n11103 17406\n1494 2648\n8878 9546\n1060 17505\n917 17586\n827 1085\n10158 18634\n11083 14456\n14721 18137\n15765 17910\n25 12929\n16239 17414\n5927 12440\n12779 19208\n4819 19321\n13340 15111\n7725 10652\n7987 14640\n3070 15208\n3418 4568\n12910 19478\n2190 19703\n9755 16821\n6773 14915\n6991 7736\n6172 8244\n5332 20156\n509 10613\n340 1740\n4499 12094\n15853 16623\n1548 2360\n1454 11016\n12404 17899\n6931 8512\n1354 2917\n12378 18875\n14427 17570\n10546 17976\n470 19247\n7225 12532\n1581 3447\n6715 12816\n8697 9616\n9607 12415\n9674 10248\n1057 11295\n13966 19478\n7122 13145\n1286 8768\n5614 13098\n1121 9248\n8943 17709\n2174 18788\n8442 16562\n5082 12514\n3903 17718\n5027 7727\n10908 18070\n726 3769\n5428 16588\n6575 11871\n5066 17658\n10138 17561\n11170 13536\n8462 8731\n7402 10950\n11511 19848\n15729 16942\n2390 13936\n8115 9045\n3004 5429\n7751 8478\n1291 2330\n3196 7183\n11215 11727\n6901 18840\n8319 13950\n2089 4670\n2024 9652\n14764 19789\n8347 18930\n15335 20192\n1121 2121\n9741 12615\n10096 11846\n9219 12511\n537 18697\n11426 13688\n7103 16524\n7830 18887\n12089 17785\n18963 19563\n3651 18770\n12544 17270\n8533 11144\n2413 3244\n10691 14452\n5905 18697\n4739 17325\n12560 12917\n1235 7310\n9675 14881\n5828 16718\n11336 13502\n3429 11875\n4642 13661\n3316 10838\n9898 13160\n3052 6528\n2253 4111\n17302 18011\n9020 15892\n4741 5203\n1029 15006\n16845 17888\n4062 6099\n11370 14339\n12206 19447\n13747 18989\n5451 12953\n3554 13528\n3124 10088\n1028 5791\n8114 16064\n10341 18547\n5766 13880\n6193 10324\n15089 17718\n15793 19249\n5367 9915\n14299 19553\n11857 18331\n12 17164\n939 17144\n2575 17282\n398 9823\n498 4775\n7572 17244\n16348 16786\n1913 8697\n7148 11328\n668 10525\n12827 18580\n16725 19411\n897 9293\n4332 17918\n18361 19180\n9544 15039\n153 19356\n18098 19072\n329 4029\n9227 16955\n3483 17352\n5709 17535\n6072 11075\n15991 17910\n1420 10691\n7789 16270\n1705 9797\n10614 18585\n10233 12653\n3340 7187\n7337 19190\n4761 18444\n3485 8775\n5040 12342\n477 14236\n9766 12766\n8513 12354\n2204 13683\n2814 3213\n5689 14510\n5611 6702\n2482 16532\n1626 2078\n3899 13309\n16107 18248\n15564 19917\n2585 6818\n11798 12956\n4175 17099\n2940 4084\n1897 4587\n5183 19050\n10477 14129\n2814 7496\n2699 14292\n81 18727\n4219 19304\n15950 19508\n615 12883\n6177 13501\n8020 10357\n639 16168\n4064 6575\n15271 18962\n11825 15021\n1337 11074\n1191 2551\n3298 13546\n4323 10867\n4325 5675\n9748 15598\n740 9642\n1593 17475\n8377 18022\n5963 11160\n7551 7567\n4729 16645\n12494 18068\n8327 19743\n6659 19417\n7266 7354\n6368 13868\n7693 13575\n9485 16272\n6615 10539\n4060 17757\n1580 8795\n4934 14538\n11930 15182\n16755 20003\n171 19285\n3091 17937\n8422 9261\n291 10462\n181 17465\n7070 9744\n623 2857\n2758 6211\n2629 17628\n13086 15495\n698 5249\n8844 11692\n2191 18024\n10416 19661\n4332 5477\n366 2036\n1258 14778\n2094 4856\n4296 13747\n9450 9496\n4459 12092\n277 12266\n4140 14595\n15690 18384\n10685 19210\n5413 12703\n16255 16349\n3857 17274\n16686 17337\n3152 9983\n10552 11193\n5941 8291\n4641 17037\n17009 20016\n2561 15226\n4146 8764\n543 5781\n5039 8094\n1788 1850\n10483 19073\n6717 16383\n6580 16821\n7020 9680\n3566 20219\n4080 13061\n2735 13199\n12298 19639\n8062 11166\n2019 3641\n11570 15199\n9372 20012\n6379 15877\n2218 19192\n14474 18836\n1036 17443\n12765 18122\n15546 16019\n3018 9735\n213 9084\n6039 12430\n3967 14641\n13298 19960\n5513 13789\n15778 18974\n3101 4812\n2723 5409\n3578 5360\n3668 7857\n3383 19415\n550 1197\n4576 14807\n15625 17652\n788 13696\n1765 2159\n8440 8992\n7602 9815\n5019 17697\n1899 13873\n7786 15677\n8730 17009\n7934 18210\n6053 12501\n2327 16643\n1245 15072\n7278 19105\n399 9383\n7894 11799\n801 17016\n149 8836\n18434 19787\n1245 7416\n8880 10035\n1660 16168\n9737 18254\n4963 11248\n805 11883\n832 14422\n2592 12297\n10980 12427\n7482 19641\n10235 18467\n3791 17044\n8256 19598\n2720 12218\n2392 2564\n12321 18329\n18902 19287\n7174 14833\n11335 16168\n4470 18183\n6932 18023\n7950 15109\n9925 16790\n5873 19055\n8556 11823\n6332 10851\n9027 18700\n4130 12112\n18576 19743\n571 8943\n4521 14546\n4339 8650\n6185 8957\n10095 20245\n5275 9721\n11940 20063\n5235 16425\n5600 11781\n2824 8057\n15075 17112\n13309 16226\n6757 16972\n950 19601\n2988 15234\n8872 15202\n10677 14084\n14636 16219\n7253 19417\n12375 19397\n1309 19523\n8720 12685\n6040 7558\n4535 17099\n2919 18499\n5579 10993\n2624 5294\n2633 11966\n1071 10373\n4048 15852\n9865 14700\n1776 18538\n8631 12861\n8436 14534\n2328 18900\n8452 13285\n11627 15968\n16962 17285\n10081 17509\n1016 11032\n11329 14821\n4752 13733\n121 1553\n11465 18403\n2257 16687\n2601 3628\n1621 13578\n1512 18101\n545 7196\n13067 18707\n7573 14341\n536 20059\n9209 17195\n14542 19468\n9660 17086\n12515 13272\n10468 13798\n7100 11621\n1947 17757\n12644 14296\n6328 16726\n6535 12926\n10973 18062\n2315 4058\n6710 9663\n10897 14234\n1996 8461\n3449 10147\n4599 7190\n224 521\n2227 11333\n1882 16495\n4353 15985\n12441 19788\n1011 19017\n4559 18323\n2915 15315\n11555 12195\n592 13065\n3456 10847\n10144 10875\n17588 18119\n204 1909\n11270 17172\n12445 19226\n13664 14313\n1835 9332\n1399 13985\n13077 18731\n7578 19157\n9680 12301\n2121 11840\n5529 17243\n3261 10548\n6697 19229\n16124 19639\n1618 14322\n3570 18993\n13842 14227\n2668 13924\n8790 20031\n4801 7066\n5396 12228\n12597 14775\n10555 19618\n8185 14974\n3606 11856\n2835 5403\n4102 17286\n18352 19736\n3382 15749\n4375 6920\n14784 15722\n6376 17516\n7404 8692\n13510 19300\n5188 13283\n10742 17981\n13525 17246\n11128 12203\n12367 16849\n2733 10423\n18032 19236\n12117 18738\n6160 20077\n1655 19077\n975 17087\n1040 4218\n3799 19791\n5361 13165\n3187 7646\n16068 18759\n14160 19321\n7070 16859\n6174 13078\n10256 18007\n8508 17144\n4480 7776\n10192 14189\n19556 20256\n2973 15627\n11832 15944\n10127 17307\n7926 12649\n14235 17003\n707 4438\n6170 19666\n5931 6974\n4742 10369\n11598 16887\n6955 14869\n2166 5228\n8023 10227\n2938 19593\n15661 18952\n852 17044\n463 8955\n18157 19850\n5768 18360\n2030 16044\n4312 8167\n4191 5099\n4273 10726\n1412 19330\n4941 8688\n5033 18390\n6982 16946\n15039 19392\n8261 10714\n1061 17587\n3522 9711\n5815 7965\n3025 12962\n4294 10614\n3065 19930\n6333 16798\n981 5419\n5464 16762\n4335 13535\n6970 9140\n8668 12786\n14812 19158\n2084 18341\n9852 19339\n4024 8001\n14386 19046\n6698 11003\n6761 6785\n11078 16807\n9763 19788\n13452 15515\n4409 5084\n1506 9792\n1585 19341\n629 15586\n3758 17782\n5810 14128\n7209 7833\n15146 15193\n10638 15118\n2983 8995\n7755 16799\n11624 19611\n8081 16394\n899 13966\n9756 13276\n18211 19012\n10297 18178\n8632 10636\n14643 16512\n6533 14700\n10157 19269\n9966 17965\n1954 15337\n10184 11061\n2054 9151\n2790 18458\n4064 8941\n6612 17247\n15109 18751\n9169 17495\n5287 7702\n4491 17877\n7156 8970\n17602 18517\n508 11495\n10305 16049\n11963 16955\n5085 20182\n5346 15160\n3547 8161\n13429 20161\n9371 14158\n10624 18634\n17688 18889\n3344 19012\n8534 16514\n16077 19867\n8674 18280\n1156 5055\n13959 14131\n2610 9441\n5025 19654\n997 15136\n4461 13606\n13879 17513\n8847 10233\n14143 17522\n2199 14429\n15629 16028\n5741 19149\n12086 16721\n4227 15020\n781 9643\n510 2276\n10952 14730\n2123 16685\n1624 16098\n3839 11642\n2738 3221\n12807 13736\n757 8753\n133 9372\n1086 15524\n19612 19652\n2906 12057\n3479 12914\n6234 15986\n6032 10237\n1864 17711\n4174 15859\n7575 14902\n1436 12624\n5727 8142\n6070 6205\n14222 15346\n755 15781\n6374 20101\n10754 16641\n3746 11833\n4310 16980\n12460 14413\n16933 19463\n5817 13876\n1374 20096\n1069 18908\n15058 16812\n1969 6332\n1185 16086\n2835 15137\n5793 14850\n5997 7385\n4426 14300\n9008 15281\n24 2035\n17163 19504\n7447 14173\n13 11311\n4476 13454\n2327 19922\n910 4805\n6671 19537\n1018 9135\n2710 5627\n2820 19165\n10902 13252\n560 5162\n30 14336\n15457 19023\n3770 5497\n2448 16358\n9654 9764\n9238 16205\n2637 16315\n5137 7923\n7591 8202\n6255 18632\n42 9049\n2514 18398\n5897 5985\n3104 5835\n3742 4146\n7988 11047\n7187 11156\n10820 16158\n6816 12228\n6407 9337\n5322 13112\n5013 12539\n3365 9690\n9990 12143\n5440 17591\n9519 18579\n9113 12374\n7755 11287\n11976 19839\n6899 7775\n13634 17692\n7875 19240\n12637 13717\n3750 11029\n1174 15962\n11845 15723\n3762 3969\n11975 12341\n9775 17560\n1286 17718\n1212 5848\n8304 10696\n1348 5470\n8847 17577\n13911 15710\n3382 7334\n1738 5744\n14178 18781\n1879 17800\n3337 17408\n16690 18026\n9995 16067\n3521 19553\n7113 7244\n9480 17971\n8908 11529\n4503 5272\n12681 17223\n307 638\n2074 14766\n2293 11328\n14765 19258\n3172 16050\n8245 17364\n277 6191\n13142 19066\n5247 19324\n1637 7276\n2431 3491\n5054 10332\n7911 13290\n416 5992\n6590 6715\n6164 10836\n3853 7857\n12529 17728\n16106 18603\n12154 19907\n11215 12251\n6953 17622\n8978 11078\n6052 10745\n2126 12285\n775 2912\n10830 18577\n2239 4407\n2452 6162\n696 10731\n16466 17603\n11794 13797\n1137 18402\n9069 10947\n14327 16199\n13774 14684\n9958 13708\n2307 20247\n2271 11475\n8854 10178\n5045 8529\n16322 18405\n5961 10386\n5373 10860\n4548 15232\n7421 19436\n1639 15652\n17129 18298\n11562 14340\n8778 17023\n16711 19656\n12376 16541\n1827 13309\n3978 11158\n16162 19249\n2673 6832\n6452 11531\n6706 19144\n13850 16816\n1772 3401\n8642 15057\n13441 13615\n5039 11593\n2188 14179\n11853 13531\n14391 16039\n1349 17803\n302 10176\n7482 12672\n13165 18845\n11351 20279\n547 12282\n2077 11627\n645 3900\n18204 19341\n1648 19777\n4693 14123\n12567 17342\n15073 17119\n6843 13852\n10340 19564\n2373 11007\n10523 13766\n2685 7198\n15347 19262\n8574 17004\n4986 18937\n9379 19613\n2171 4377\n4709 10360\n2208 14528\n14654 15738\n5252 10819\n15147 20252\n1909 19253\n7958 11474\n3350 15578\n3188 14481\n227 1800\n5940 15547\n2638 19334\n8842 13770\n2881 4846\n5962 8880\n1927 7702\n113 3055\n9640 15423\n16897 18110\n6340 13858\n11880 12235\n4662 12959\n4549 5872\n4324 8914\n9013 17818\n2688 10908\n11096 14453\n7987 12231\n5801 8160\n16881 17674\n13659 20254\n6067 16957\n12625 16527\n10017 13030\n2893 14168\n10605 13266\n7766 18493\n7359 16415\n9503 15771\n3988 6828\n5502 13397\n5136 16898\n15178 18956\n7639 8930\n4241 12265\n13114 19385\n4532 15890\n16640 17474\n6962 17328\n11543 14817\n12104 18828\n5459 9961\n10469 18714\n16813 19036\n11121 12852\n6216 11256\n8336 10089\n2732 2789\n2906 4702\n1450 2365\n6022 9766\n7871 15920\n3235 11074\n5038 6198\n6811 15708\n12933 15766\n2494 18699\n5935 16665\n9827 18966\n674 3954\n10474 10595\n3255 19997\n3291 12630\n1596 13313\n708 9775\n2182 12491\n3174 8651\n1106 10011\n6977 9118\n9874 10047\n6563 19279\n1971 11790\n11975 18427\n7933 8972\n14878 18848\n6294 6835\n3716 9937\n1689 5418\n2432 6687\n11429 18074\n4152 8812\n1913 15294\n17247 19200\n5565 9380\n6470 7611\n9028 10730\n802 15904\n1786 20125\n8063 19437\n14621 15393\n243 10875\n7624 11890\n11724 16126\n8104 17987\n5343 12872\n185 6438\n5174 14714\n2659 8843\n414 8569\n7602 16001\n5697 7917\n10357 12239\n16318 19707\n11629 13491\n14823 20164\n2623 12584\n1893 5848\n5301 14805\n180 9159\n19777 20078\n13038 16665\n1152 10407\n6372 19530\n559 11787\n14864 18841\n91 19448\n12851 20210\n11421 17366\n4070 5951\n5887 11406\n555 1650\n11712 11840\n13895 17489\n2532 9531\n113 4302\n11612 19056\n2282 12905\n5262 6457\n929 14907\n1214 14754\n6818 15278\n2726 8286\n5998 8544\n6393 9122\n906 12273\n545 8218\n18822 20088\n15717 18160\n3370 3998\n3053 14020\n5688 12714\n1811 7636\n10273 18409\n4786 12698\n2597 16509\n15064 18628\n9443 19184\n13341 16029\n8835 12405\n6069 7664\n6916 17735\n13316 19711\n8727 16826\n3763 17723\n5653 8979\n2589 10652\n7681 11960\n2986 4897\n11638 15373\n9622 13103\n4012 6108\n13029 13708\n12323 14844\n15264 16013\n6512 18271\n6853 17899\n10322 13852\n2778 17922\n475 14658\n10823 13494\n15699 17313\n17835 20078\n2404 8140\n1324 11818\n2474 10734\n3991 11803\n10319 11227\n4279 16155\n9174 19881\n1994 15196\n6669 15135\n3836 9653\n15472 18291\n2734 10456\n16887 18482\n2631 16897\n5448 13599\n1234 9233\n8653 17766\n4285 19214\n3649 9032\n12181 17690\n7645 9604\n9961 11514\n339 17147\n1439 4748\n3060 9844\n103 17743\n3814 8403\n4622 9073\n13340 14640\n4359 13668\n908 17579\n4969 5251\n5377 12765\n156 17692\n1072 2189\n2325 8058\n5520 15884\n10738 20068\n74 1794\n8981 10842\n11808 13961\n3680 14824\n1744 10890\n5754 7249\n1647 15041\n13116 16387\n6131 13122\n6825 13254\n4876 7320\n9547 20047\n11660 17598\n8277 10808\n4118 13317\n3986 17269\n4345 5448\n14709 19092\n9510 18666\n9020 17252\n5346 14268\n13398 18663\n7179 15194\n113 5675\n3992 5717\n4729 10838\n3396 7152\n5303 17653\n12899 15027\n5083 12151\n10775 11585\n1833 16198\n2792 5744\n549 8832\n14066 15351\n5002 9864\n7968 19041\n6347 7938\n1132 1863\n6521 16608\n160 17996\n6450 15591\n12550 17035\n10425 15693\n4811 13530\n9774 16562\n16926 18450\n10390 11641\n3527 13143\n915 15070\n7222 15424\n1708 3950\n7542 13580\n8109 13459\n978 11080\n650 3204\n4831 19883\n7299 12476\n3910 10033\n7098 18839\n6584 8833\n358 7481\n14757 17988\n11479 17179\n8211 20234\n2699 13622\n7391 19496\n7196 17907\n12956 16847\n7014 17884\n4484 19827\n1758 5904\n1500 10849\n3048 18713\n10312 17657\n1068 18586\n5655 18122\n18462 19133\n4313 13295\n10303 18136\n14041 16562\n14455 18231\n6756 19882\n822 2157\n3444 18530\n7549 17998\n3701 12550\n6387 16545\n9120 11034\n9593 9623\n3655 18860\n11638 11724\n1677 16470\n8657 11049\n8910 14995\n1272 11497\n12093 14200\n4526 18255\n8211 9549\n1220 13392\n7957 19651\n2743 9456\n2647 4183\n9010 19928\n764 7056\n438 1259\n11265 19302\n14287 16872\n3330 12256\n6803 6988\n222 12465\n5498 13331\n5829 17070\n2356 4547\n2316 15471\n6843 12538\n7941 17618\n6427 11621\n6836 15203\n9235 12244\n914 3395\n5485 16232\n5502 11170\n15020 17794\n331 7142\n5859 13473\n13367 16384\n2243 8166\n17449 20188\n7341 10708\n10624 12598\n16966 17248\n42 17113\n11034 19542\n320 14128\n15088 19125\n3840 6952\n5709 12781\n16964 18148\n4122 4831\n420 16586\n1554 6139\n17787 19244\n15257 19919\n2770 5966\n1063 17525\n9689 14608\n4526 16460\n14014 19462\n14358 18976\n1520 18459\n856 13020\n8607 18161\n3744 19663\n6989 9578\n5579 11934\n8217 11669\n1734 13836\n13012 19671\n763 2261\n7897 18183\n10312 19715\n7427 19519\n2383 18594\n13841 14057\n15284 19810\n2217 14429\n8146 9817\n7610 9885\n4129 6121\n11795 16489\n11997 18747\n18816 18934\n11377 19090\n6492 17217\n9419 11684\n217 8472\n6675 10557\n12163 14961\n7684 19593\n12267 18151\n3120 9799\n6474 18539\n2594 7059\n7546 13761\n6619 17131\n9850 13385\n719 1528\n6188 14429\n128 9693\n2216 6553\n368 12127\n10264 18848\n11031 16429\n4670 11565\n8412 9370\n6540 15261\n3941 6449\n3529 6075\n4369 7423\n14364 19495\n11493 12353\n6677 19779\n11546 17972\n13031 16744\n5403 5407\n1712 18064\n1783 12262\n2552 18660\n1332 11400\n7287 13039\n5415 12446\n9484 10722\n2041 18437\n16704 19347\n6864 19868\n16362 16950\n9211 18071\n2446 13627\n1747 15547\n2098 2844\n17076 19592\n12957 15600\n6479 8659\n10626 12954\n2259 19681\n4237 4250\n6164 11348\n8630 15268\n1083 19711\n11776 16432\n2456 9640\n7840 19660\n13892 19574\n11557 17381\n4041 14906\n3061 11027\n9222 18079\n586 14944\n9902 15456\n15075 18801\n3171 11196\n4721 5244\n3914 19810\n4408 18134\n11887 13079\n8598 15352\n4987 14216\n14663 16165\n15343 15801\n2907 19288\n13559 18194\n11529 19065\n14874 14988\n15505 17625\n3163 9279\n1099 7646\n1483 17986\n250 1370\n386 905\n5436 8142\n4116 18091\n11574 13735\n2698 4108\n4566 17807\n1439 2265\n1830 4647\n3425 19339\n13879 14899\n4066 12075\n5400 9281\n4576 19192\n7153 16929\n13608 14143\n3260 17558\n528 16080\n7612 11564\n13551 17050\n489 2688\n17265 18949\n1447 3172\n14528 17422\n971 8353\n6248 15092\n8068 9625\n6121 18934\n718 19115\n4850 13966\n7439 8401\n5938 18037\n15171 18044\n10359 11092\n5186 14710\n12386 18014\n4034 14870\n126 13475\n9702 11418\n2428 9850\n3027 12844\n2193 3264\n5448 9998\n5694 13925\n2138 11270\n574 1168\n4538 12019\n3626 16820\n3163 3638\n6603 15823\n15895 16158\n2351 5536\n10661 17655\n1788 6684\n1404 13443\n2248 16189\n8212 14833\n1483 1834\n2934 4079\n4760 17196\n17891 18785\n484 12025\n724 7278\n9348 19048\n716 7502\n2652 7276\n13236 13634\n16802 16864\n4060 8127\n12553 17057\n2204 4614\n7316 9207\n11134 16193\n37 12613\n2680 3256\n15050 15180\n1129 5229\n5680 10261\n4937 10925\n7517 16025\n2346 5694\n5481 17727\n583 5901\n17346 17717\n490 15313\n13912 15965\n18080 18184\n4387 16349\n2805 20063\n3966 18022\n6924 14818\n225 6694\n10556 15463\n10181 12301\n10057 17530\n5157 9822\n9124 12885\n7659 12671\n1153 20020\n131 1075\n6255 18099\n1865 6353\n8713 11647\n2234 16822\n12937 18867\n8015 17134\n472 3163\n5739 14450\n735 12964\n4468 5986\n2016 18042\n5033 14339\n15221 15518\n2024 12199\n2117 9331\n9493 16894\n4916 8012\n19709 19978\n8471 8744\n11507 19286\n54 16234\n6164 19235\n330 8862\n16078 18344\n14154 18193\n4048 8910\n1901 13361\n2208 19562\n499 13231\n5001 19651\n10683 17344\n10499 15806\n16082 19213\n3484 10735\n6540 11181\n1495 19588\n15988 18687\n15528 16818\n16154 18908\n1949 18776\n3569 12447\n18018 19852\n15204 15793\n1599 15714\n2277 5880\n377 20214\n2174 17035\n1640 6512\n14310 15166\n10201 12717\n17232 17830\n13640 17747\n4401 19528\n5190 19770\n7733 17061\n5342 6157\n12805 19270\n1732 11439\n1881 9191\n8705 17774\n14518 15511\n2473 4633\n12178 12481\n6477 11702\n9257 13689\n5172 5290\n1231 14232\n4601 8723\n9173 11177\n3790 13039\n8309 15911\n13760 19503\n6049 10334\n8895 10557\n11539 13963\n8126 16376\n9695 13333\n9467 11435\n12837 18032\n12824 17384\n13100 19752\n6188 7035\n13143 19599\n11805 16189\n2197 20087\n1814 3014\n14699 16263\n9115 20118\n6675 8440\n675 16355\n8742 14094\n12247 14338\n16315 17565\n6929 17480\n7955 19607\n1495 2061\n3920 9341\n12350 15018\n17300 19624\n12395 15380\n20035 20147\n1616 7167\n15617 19607\n1068 1989\n8604 16834\n2723 6245\n4754 12676\n3127 7865\n5265 12325\n6868 16397\n3871 18572\n4954 14976\n7706 16002\n15520 16774\n5557 12415\n1490 3414\n10957 17759\n5531 18936\n11868 12879\n1168 10691\n5803 15900\n3711 17570\n266 1677\n7299 15134\n14003 16071\n7020 18882\n370 5749\n4015 15375\n11372 11919\n3813 19817\n7416 8385\n8974 14771\n6456 19171\n3320 6433\n9824 18880\n13797 17988\n510 11206\n4707 19387\n14534 20110\n8583 13505\n2941 15686\n10348 13204\n4280 10644\n4190 10199\n3821 15103\n12303 14216\n250 10019\n6596 7644\n16673 16702\n10589 13748\n4746 7685\n1382 3629\n5167 20109\n2182 4137\n5477 12351\n7346 9179\n3522 6785\n5235 5642\n1720 3875\n6970 18738\n9676 15217\n6259 8895\n1697 4209\n8928 14106\n9029 10818\n18121 20243\n8847 20263\n7658 7978\n2745 7729\n12910 19746\n2179 4456\n3493 13064\n1942 12943\n2926 11562\n1292 6609\n6435 9354\n7145 13143\n10229 18631\n309 2240\n7020 7225\n4145 11869\n3134 7816\n11577 17856\n16561 17962\n6308 13480\n4301 4767\n15493 18175\n6046 12580\n4618 9509\n12311 15498\n9546 12777\n3748 15320\n7705 11078\n11117 18255\n9233 15319\n3652 14563\n6712 14305\n11864 14986\n993 10131\n6343 8819\n1279 19982\n7247 17090\n7538 14443\n10024 10825\n17386 17565\n5731 6933\n5343 6096\n8532 18054\n15254 16607\n8467 11576\n3601 17988\n3238 9645\n11695 16641\n15747 19148\n7382 10138\n9800 10681\n1552 11182\n5796 7786\n5740 14576\n11642 16370\n6915 8302\n4054 4681\n566 5009\n1806 2738\n5731 19730\n689 3514\n315 1997\n186 14848\n2311 6196\n13297 13651\n1622 15571\n10219 20215\n5155 9536\n8819 17935\n4856 11498\n8800 12975\n52 4434\n5963 20141\n51 5668\n134 7775\n12152 14194\n7440 18877\n760 20180\n3692 14521\n5934 15956\n5590 18179\n5108 12648\n1077 16111\n19317 19944\n488 926\n9512 19713\n7567 11085\n9656 11635\n5884 17555\n11652 17972\n15660 20225\n11874 17936\n11379 19536\n13148 19253\n298 14548\n819 5381\n6146 6893\n9836 14832\n6748 9489\n5738 15974\n2340 12467\n9443 20010\n7118 14749\n5234 11604\n2286 18637\n4095 12304\n8003 8739\n17353 19929\n8490 19336\n3311 15489\n3945 6742\n944 8922\n4000 10075\n9774 15129\n12565 18353\n4555 8759\n11264 18723\n6936 16026\n4977 5846\n3752 10689\n4951 6233\n1801 4190\n1789 15569\n15243 20277\n4845 11046\n10485 19676\n7475 15771\n487 5769\n18578 19707\n7585 11436\n7193 18658\n15835 20026\n6307 10565\n11622 16634\n6578 11194\n7832 17078\n8940 16290\n11408 20079\n14030 16236\n3550 11564\n10222 12231\n3245 9289\n19063 19107\n10684 15045\n12843 15032\n7149 16994\n2609 17591\n7345 13612\n5386 17332\n4580 11019\n2130 12858\n10062 12499\n4157 12262\n6778 13376\n13837 14771\n7447 8717\n9804 16810\n5926 16345\n3858 18938\n6511 17763\n3485 11942\n2660 11645\n8298 8876\n4583 7996\n3316 5296\n9266 10506\n353 3840\n7582 10047\n12662 13024\n3033 19253\n1009 13125\n5983 9540\n3309 20193\n86 13504\n4463 6715\n1807 18043\n16278 16371\n1442 13199\n8943 10383\n4200 11910\n15064 15886\n10459 11329\n1393 9655\n6403 12525\n7692 12888\n14416 19785\n12176 18034\n4804 19914\n7043 19301\n477 18065\n8601 14894\n2137 18400\n10809 15277\n6670 10018\n5106 15055\n14603 17912\n12822 15851\n17912 18195\n11584 12162\n6000 14596\n5797 9963\n16080 17224\n8340 15244\n10622 11047\n3507 11326\n3274 5598\n2697 8342\n4815 15552\n17424 18830\n3117 7659\n1112 13906\n12079 12301\n15068 15710\n6779 11474\n882 16116\n39 11196\n428 3290\n3013 17938\n2913 13272\n2145 4801\n9152 14875\n2426 16058\n19416 19934\n5216 12282\n4034 13040\n6356 17651\n243 2597\n4640 10121\n7845 14852\n16594 18189\n7634 13349\n5222 18954\n6238 16721\n10621 18569\n18736 18742\n10127 12329\n12261 17104\n3061 6252\n9270 14790\n17592 19151\n4346 6531\n194 17276\n13633 17165\n3345 4047\n6680 16062\n16510 18330\n8133 12074\n18391 19967\n3613 11848\n2051 8021\n14856 16803\n293 6336\n2159 15426\n1997 5250\n2602 2741\n1782 10408\n2753 10857\n208 17293\n5062 19728\n2619 18681\n4843 17083\n7953 11516\n2941 17323\n908 4390\n1377 8000\n3480 19365\n12014 19413\n4146 15629\n3239 17582\n6708 7409\n2042 2830\n17384 18172\n11493 16045\n2561 14436\n2673 14250\n13696 13951\n4546 12692\n5783 18513\n2573 13135\n520 7964\n5378 14764\n13756 17342\n1368 10359\n2321 11360\n8298 9607\n5737 15188\n3704 19374\n4237 4748\n11077 17953\n12009 15298\n1920 4411\n4473 18552\n5553 9548\n4165 16788\n3004 15434\n6704 13753\n3393 8852\n2882 4485\n6870 14692\n9439 16558\n3098 9048\n11050 19201\n1700 10375\n18389 19156\n8511 15018\n10071 17636\n11995 20102\n5083 19503\n1511 4511\n10902 20098\n614 19459\n5334 5903\n1592 6715\n491 15658\n17775 19219\n7217 19489\n10070 10151\n12238 20010\n7299 11760\n11236 17501\n7262 18242\n3139 14500\n4291 6225\n8693 9171\n152 16868\n9924 11165\n4687 5170\n1401 10658\n9411 18180\n7094 9146\n5694 16599\n9718 13429\n10209 15146\n9677 16551\n4641 13719\n4352 13114\n3521 11921\n18620 18765\n9363 10357\n3466 4069\n13526 15720\n2792 14605\n4238 5764\n2498 13970\n3828 7301\n668 9987\n8224 11407\n5753 17116\n2168 16668\n4039 14644\n10670 13962\n1534 16407\n3082 16021\n9573 11804\n8971 12093\n1939 15447\n11061 17520\n5719 6871\n4092 9093\n2427 11162\n13324 15238\n9002 10917\n5014 8909\n11386 16095\n7925 18675\n8567 8947\n12637 15856\n5446 10797\n491 4331\n346 10140\n5182 6988\n987 7564\n1054 13666\n1462 15195\n11743 19923\n8712 14642\n13005 13601\n14254 15172\n5085 11859\n139 4123\n1312 9133\n17134 19767\n2027 18332\n4296 16150\n7821 9292\n2637 13664\n8229 12992\n10913 17701\n2129 19596\n4792 6118\n6279 8602\n4012 12984\n920 4768\n5353 9255\n16499 19875\n4184 12150\n3515 11874\n17101 17382\n5748 8768\n369 3673\n6459 9337\n4108 7290\n3433 4711\n493 5519\n8043 20003\n5977 19601\n3345 15948\n12296 15444\n2801 8481\n7598 12456\n7272 20250\n9919 13663\n10658 12166\n1093 12773\n10304 14511\n5168 19415\n8773 15958\n224 6092\n6246 7083\n7238 17112\n6697 13525\n8309 8634\n302 1951\n9126 10739\n6452 14360\n16281 16810\n17613 18627\n17782 18706\n15984 18331\n9321 12522\n7727 20112\n6255 14805\n4240 9460\n700 14259\n16370 18880\n7679 12057\n5653 9884\n1504 3820\n2890 4503\n5002 5844\n17032 18686\n4068 6822\n15509 16081\n14745 16387\n4074 4978\n2846 15219\n9291 18052\n2713 10487\n8297 19193\n13644 16839\n2249 3249\n12511 18385\n4334 6519\n142 19232\n14687 18711\n5686 8993\n8922 17410\n1214 13688\n5465 16059\n675 15872\n6425 13058\n9132 11080\n8292 13350\n214 1750\n9067 9187\n12345 15897\n3850 17252\n1835 4614\n1362 3469\n13539 15243\n2090 17371\n3549 15357\n10331 16801\n2302 2704\n2452 14714\n1243 18169\n10667 14097\n8104 14072\n17112 19491\n13653 18835\n2811 13760\n759 15172\n11662 13145\n6665 7623\n8193 15576\n15287 16199\n10358 15460\n15236 17524\n5981 6188\n2805 13465\n5290 14848\n10172 15821\n3227 8022\n8903 18147\n18113 19195\n6188 10962\n6142 17902\n1000 6520\n4091 10574\n7059 18069\n3314 6496\n2045 8402\n3659 18670\n9030 9609\n9259 18583\n2410 5706\n1405 14821\n12294 20167\n1056 3665\n5582 9676\n2593 7043\n1940 4702\n3702 10123\n1783 14773\n3760 4134\n14923 15166\n581 9803\n3665 5845\n6113 10730\n12302 15281\n3043 9177\n9232 15759\n3374 8006\n4668 14648\n8713 13248\n6978 16971\n926 1427\n4188 18000\n11099 16162\n198 17321\n2458 15458\n2904 19211\n11064 17522\n9470 10838\n6212 17355\n14200 14213\n24 15564\n5010 13337\n177 18584\n7143 17256\n9330 15958\n11852 17891\n10902 11932\n10462 20009\n13378 19633\n8272 15935\n4842 9657\n16841 18971\n1347 10080\n17578 20283\n15120 15714\n3802 6911\n7745 10105\n6760 13520\n2635 8973\n6095 10137\n11862 15636\n5392 7636\n1581 2593\n11392 19944\n1213 9555\n1057 3852\n3513 4883\n2125 3296\n16443 16689\n1891 10658\n1215 17732\n8026 16392\n7862 8382\n9551 12326\n4402 11107\n5804 10069\n790 7832\n6576 15979\n5519 6443\n8078 10284\n2135 5999\n16897 19318\n2123 6649\n6672 13203\n6896 17849\n7317 10430\n3451 18699\n4663 11345\n7167 7218\n8495 18660\n1014 18725\n2760 18081\n1102 3701\n4566 15479\n3195 12558\n7894 12458\n7273 16171\n9951 13667\n5349 15336\n4479 12626\n5532 15049\n3784 8894\n4617 13563\n6749 10270\n16380 17882\n217 17298\n2301 5792\n13670 14609\n3561 19058\n8195 8875\n9331 18590\n10317 18255\n762 12441\n14152 15820\n9944 17418\n13456 19533\n4758 17621\n9156 18383\n10056 11319\n2807 7522\n12766 14936\n4156 14355\n4392 5324\n17673 18978\n4104 19723\n11030 12108\n8474 10305\n289 2419\n9192 19285\n2480 14247\n13539 14903\n10066 14402\n5371 17571\n1183 13254\n1361 14407\n849 16006\n8253 8632\n121 13696\n9294 9764\n12616 19593\n7272 20213\n2485 9242\n4872 6706\n4135 11923\n7536 8799\n11209 13341\n10997 18971\n1967 13761\n9510 17420\n10512 10667\n13123 20154\n9150 15729\n11411 18513\n825 3125\n3061 19603\n793 11797\n12720 13943\n15379 19104\n6874 8097\n11114 15525\n6791 11562\n6236 16682\n14661 15571\n1227 10807\n16530 16608\n652 15769\n12072 19462\n13459 17579\n17198 17202\n2492 10981\n11933 15445\n7301 8434\n3563 15847\n7025 18724\n13188 18959\n2733 13937\n14621 17974\n14315 15935\n7043 12523\n15385 17264\n127 6086\n2797 6186\n6534 13709\n4699 15711\n2117 17044\n2100 8281\n790 12833\n8238 19365\n6853 9495\n10298 15881\n1788 2171\n3014 19727\n10024 18401\n4150 12059\n8389 19457\n4511 18772\n10575 16520\n15770 19105\n2377 5118\n8770 15085\n10382 15366\n4437 8640\n642 12867\n117 15004\n18471 19053\n12316 17575\n12204 17422\n4755 7602\n3123 14160\n6847 17093\n4084 13312\n23 16716\n8258 14016\n16523 17632\n1797 14480\n9735 11371\n3206 11113\n7635 12692\n4820 9274\n985 19660\n12740 17880\n10442 11728\n923 5340\n2994 3290\n12191 15469\n5889 8429\n1295 1753\n18907 19140\n16018 19245\n18558 19908\n5550 12164\n2589 17630\n1042 18724\n5007 17548\n11352 11882\n5515 18177\n7154 11416\n6048 17987\n11386 15754\n9559 15133\n53 19908\n3559 5214\n6124 8663\n7605 17017\n5221 9440\n10175 19668\n4789 7473\n12683 19161\n17185 17912\n3230 4411\n1013 14468\n1708 9641\n5795 6808\n1045 15018\n8701 9209\n3158 9898\n15085 17232\n10367 19588\n5357 20104\n10029 16062\n10 7490\n3848 5275\n13236 15449\n10074 16450\n2242 13979\n9496 10183\n5073 16658\n14238 17940\n3187 6669\n8360 17655\n579 3596\n5389 14563\n185 13930\n3835 18500\n16976 17875\n2975 5992\n3512 9788\n12194 15115\n11335 16665\n12776 18326\n14500 14624\n10582 15163\n8283 12489\n4398 10136\n11012 13709\n7345 10531\n2350 8414\n5293 14033\n14843 17930\n4028 5207\n12008 19629\n8264 19134\n6520 17804\n860 7108\n8664 18360\n658 14928\n8627 16671\n763 6105\n549 10759\n5003 11294\n3790 5424\n11814 17495\n3990 16550\n17421 20145\n14206 14408\n2391 6530\n4117 17811\n4929 18884\n9063 14903\n10081 15372\n5566 6471\n2885 13679\n558 10346\n3072 8599\n2395 16752\n9688 10841\n15995 20085\n9275 9317\n240 10329\n1605 11206\n4827 7541\n9631 17455\n2100 11343\n3638 8468\n1940 8318\n11885 15471\n15967 19842\n2913 11518\n8900 13390\n764 14214\n13773 16227\n2469 4945\n15279 16175\n12380 13062\n3881 8376\n5249 11571\n3903 16002\n4518 14718\n160 8718\n6119 15668\n9563 16858\n5925 16089\n3521 9444\n7424 15193\n5512 5611\n6890 15668\n3788 13880\n3262 18665\n9643 11698\n852 11782\n4711 18380\n10066 19612\n1852 8901\n3275 16276\n19361 19982\n8013 17126\n1471 5098\n6614 19954\n16541 16931\n12110 17557\n3546 8943\n11035 19814\n1678 16821\n6505 9210\n3006 10281\n3732 11063\n3404 15787\n14986 15808\n744 7214\n4489 7937\n10687 19561\n2182 5805\n8762 15161\n14068 18634\n15520 16370\n1582 19288\n15940 20177\n11632 15104\n8620 11651\n9581 18057\n7963 13765\n12419 12556\n15569 17186\n7730 17426\n12937 13295\n11009 13522\n13914 19069\n8348 16257\n1290 4126\n7704 12392\n1455 7931\n10865 20007\n1529 7911\n13527 18051\n3784 18763\n11082 17247\n5993 14960\n2070 11233\n10967 13909\n6784 16725\n4569 5167\n4045 14884\n6167 10648\n1804 19723\n14102 15283\n2297 13075\n1574 8508\n4636 14115\n7202 14532\n1160 12506\n2914 3333\n5700 6451\n10695 20107\n6179 13208\n12373 17997\n5846 12786\n15571 19973\n13892 14221\n402 7281\n8756 13943\n4200 13873\n1965 16503\n4948 9081\n9076 14294\n10027 14523\n5048 12388\n849 3464\n360 14926\n9373 19490\n816 2647\n10946 11023\n8830 12761\n729 8928\n9108 14624\n8630 11000\n5750 19780\n5169 17646\n10703 12001\n12438 15427\n3103 15103\n1824 12232\n1569 2489\n14914 16957\n1895 11833\n15932 19449\n10497 15674\n9599 18744\n4765 16009\n9911 11385\n7846 8439\n9279 16661\n2665 4396\n6429 18692\n14351 16125\n832 1516\n12949 14880\n4261 5655\n9408 12008\n3646 9872\n4223 15596\n17509 17890\n7884 19968\n9476 14762\n3181 5846\n5511 14739\n16600 18101\n3996 13736\n10041 13711\n17368 20273\n4083 10705\n1728 19487\n10213 12219\n9359 20117\n7993 18622\n8961 13717\n12725 13972\n4785 13013\n3876 16009\n6092 16410\n3437 9274\n5009 19253\n2817 15364\n10679 13727\n8149 17571\n5960 13660\n4434 15396\n3726 10796\n13575 15379\n2137 2433\n11174 16700\n6927 18923\n5926 10014\n6365 8522\n4581 16073\n10734 12846\n30 16617\n7096 18035\n10079 15214\n4988 16179\n7809 13364\n9295 13427\n3887 10110\n3829 9259\n6841 15020\n1486 10995\n8024 19647\n7910 8031\n6385 8383\n6836 14043\n13817 16257\n17450 18374\n2296 6890\n7602 13805\n12931 20178\n5315 19548\n6286 19725\n11480 15017\n2525 6297\n13914 20022\n1526 17890\n6954 18945\n6578 13219\n2132 2159\n3344 20134\n10200 17592\n2446 12597\n7400 7507\n10402 13815\n15874 18860\n7088 10172\n9827 16540\n7865 12237\n5597 9866\n4358 9872\n6943 18093\n224 9187\n16750 18112\n2773 14208\n5527 13915\n5682 10250\n13307 15562\n644 3761\n11213 18666\n7860 19975\n15904 17559\n5574 14016\n13821 16827\n7907 18311\n9711 10410\n1867 18668\n8764 12841\n1307 5319\n2975 13165\n2202 17030\n9231 9411\n2947 16370\n819 17849\n3906 14646\n417 3561\n4391 19115\n6654 9428\n6995 18157\n5187 13391\n8224 15751\n8555 15585\n7174 12557\n201 4811\n890 15295\n12962 15683\n11962 19560\n9953 19764\n15926 19988\n6396 9575\n18235 19792\n948 15793\n14048 14735\n3361 14728\n11740 16863\n3782 4255\n10326 19481\n11086 19540\n9 13969\n1942 18358\n934 13460\n3595 16323\n3498 12989\n3431 13718\n14477 17278\n4465 10596\n11831 14536\n3976 10732\n6194 11576\n7134 18984\n9670 12784\n1397 4488\n4011 19616\n14859 15461\n490 1509\n12790 17018\n8359 20029\n2073 18455\n12829 13417\n15172 19306\n13518 19623\n1800 14878\n15355 19904\n2304 20077\n5442 10770\n16218 18050\n3517 11378\n4105 7434\n17441 17998\n9323 18170\n7047 14994\n855 10802\n12547 18634\n8717 11542\n9046 10576\n405 13782\n3693 10020\n1764 7567\n10261 15048\n2617 15079\n1692 5657\n14982 15693\n6459 10374\n6661 11792\n6729 8912\n2207 9849\n15247 18043\n2282 16565\n1060 1551\n2094 8668\n11385 12794\n6423 16473\n13042 20132\n4394 8302\n2635 13901\n11509 18366\n10853 12943\n2742 8054\n7428 10800\n1196 12934\n10447 20113\n4592 14102\n14616 16263\n127 8313\n10558 15823\n8058 13074\n9920 13015\n4354 19402\n1044 5234\n2058 2208\n9477 13806\n800 1870\n20161 20258\n10452 19932\n8525 14083\n11022 13417\n14431 19041\n598 13009\n13095 17591\n202 10354\n6591 17674\n4645 7256\n8554 9610\n5456 17140\n2335 17608\n16842 19583\n11801 18707\n25 12883\n4144 13596\n1050 17425\n5868 15311\n10387 19278\n14676 17902\n12752 13735\n3091 10472\n1908 15000\n4949 9319\n4608 13554\n371 19879\n10081 12478\n18937 19071\n4 6933\n7057 14566\n3492 13135\n4554 17883\n13045 20051\n12846 19381\n7147 16385\n10757 14971\n3429 19282\n4400 8500\n8346 18527\n11824 20199\n11420 15156\n1203 17137\n1283 13892\n10044 20144\n19708 19867\n722 15241\n9878 15181\n3851 7298\n1876 5365\n5637 17136\n14171 20117\n2890 7736\n620 6907\n3724 19218\n5385 16200\n7550 17289\n6517 17430\n11925 18848\n9367 17548\n2155 14135\n8417 9218\n7179 14975\n10224 19536\n10313 19662\n5116 8986\n10143 10398\n1970 15091\n4016 19964\n15773 16227\n4094 14244\n5948 13362\n9561 19652\n8879 19303\n8803 12740\n314 9705\n10159 17182\n1758 15798\n1249 6025\n1816 15673\n13218 16227\n594 8260\n1327 8366\n13038 16240\n17504 18098\n1156 5437\n16698 18702\n3402 16492\n3899 12677\n6421 12669\n9880 19405\n19037 20071\n15702 17970\n8534 8949\n4322 16558\n3232 11861\n1831 10389\n4132 10087\n10220 17569\n9068 17577\n5559 18641\n9703 14040\n3283 6046\n8489 18782\n4132 13991\n1110 3464\n11789 11871\n1228 16816\n14398 15670\n6942 16872\n3185 14539\n1819 10707\n9168 18475\n15042 19017\n169 3394\n2973 6710\n11974 19367\n2001 18160\n385 5409\n6340 20011\n2617 5315\n4426 18412\n3914 4157\n5485 17657\n6032 6739\n6846 14418\n626 1436\n11719 19407\n1081 6314\n2525 4016\n1374 9826\n16794 16970\n9393 19523\n1556 9567\n10940 19067\n8894 9692\n232 11295\n2186 15868\n1060 2783\n13311 16113\n5543 9873\n10555 11797\n6470 17863\n12559 14899\n3848 4732\n7008 7657\n2664 11342\n3977 11223\n6150 10097\n15230 18848\n222 4507\n1910 7582\n251 13735\n2364 6970\n4278 19678\n6898 12932\n13416 16805\n11890 11910\n2469 12579\n3365 12572\n1252 12422\n14077 14211\n5282 8884\n15563 15707\n1998 15935\n2196 16675\n2692 5042\n151 8217\n2934 20079\n8429 15058\n5351 16947\n3029 16942\n11962 12647\n12685 16701\n13289 16672\n13625 17362\n355 10053\n4027 4230\n2304 8016\n9 9431\n7480 19687\n11338 12671\n5960 15628\n7365 16680\n5695 14797\n4068 20274\n9060 16155\n12391 17121\n1277 5441\n4192 13969\n10006 20148\n17047 18294\n1099 9353\n1186 2364\n11677 13163\n1133 2644\n3451 7803\n15057 19898\n14175 16860\n5970 18814\n14564 18000\n6374 16560\n256 7740\n8345 14014\n3393 5312\n4202 14118\n4668 10517\n6150 15785\n205 14829\n13289 16919\n6296 16705\n119 2326\n5485 13784\n7107 17022\n3111 6775\n13917 14106\n7889 16051\n3274 9976\n44 1566\n2173 11668\n1281 18969\n11399 19940\n9427 19494\n9104 18663\n11176 13558\n3233 18367\n5740 13703\n13064 16111\n7925 12919\n10279 14977\n297 1278\n2596 13300\n4869 14391\n8870 13555\n1683 19658\n17334 20187\n3145 15380\n324 4398\n4457 6457\n5730 13201\n2826 10110\n2426 14750\n7350 11871\n2026 6214\n6531 6986\n4219 6801\n15726 17426\n3971 10580\n739 7763\n318 5292\n12512 17337\n2900 12424\n7784 9970\n3719 4343\n8496 15689\n7171 8834\n1301 6807\n11210 18663\n15160 17102\n15114 17851\n6976 7845\n13960 14233\n4254 19610\n4892 10148\n797 6883\n1340 7776\n2322 10309\n14038 17569\n10234 15509\n12517 16493\n15217 18195\n8815 12555\n4843 15865\n13563 17895\n8122 12443\n2752 17919\n389 4607\n1243 14740\n15180 19400\n1121 5352\n3103 12960\n10093 19222\n2354 19640\n10578 16277\n10797 12859\n16182 18145\n7227 10502\n2843 7345\n2122 18911\n444 12749\n13850 13977\n802 18727\n4887 19905\n10362 19826\n702 1206\n10944 19400\n2579 11962\n7607 16945\n918 7346\n2443 12888\n14083 15588\n15018 16849\n16210 20259\n1128 7605\n6444 7959\n7900 8842\n469 13376\n14545 17033\n4289 20266\n777 18658\n11826 18466\n6522 11899\n3368 6431\n4511 14387\n5361 18912\n18231 20270\n4117 17878\n4360 6824\n11809 18452\n616 7803\n7858 14826\n2842 7764\n914 2292\n15750 16884\n10017 19249\n12430 15475\n19426 20012\n9074 12800\n10602 15724\n338 9391\n14259 17387\n15925 17332\n8148 16514\n1261 15461\n1548 7189\n11174 12347\n14112 19397\n9666 13555\n414 3677\n4666 15481\n1248 3937\n161 14765\n1290 13569\n661 12123\n1795 12937\n7834 20000\n276 2553\n4017 15620\n9587 11977\n351 9769\n5938 10698\n5719 14794\n7574 10683\n4691 7680\n12794 16005\n4161 14883\n9003 18967\n14031 15702\n14793 18857\n3717 7560\n596 7108\n8227 16421\n8377 18896\n7389 11022\n2338 20049\n1789 2439\n3924 6711\n8333 19417\n5686 10161\n1789 19507\n13634 16389\n4868 7575\n4379 15196\n17196 19528\n13919 19283\n306 13099\n3377 20048\n14571 16406\n3595 12228\n16226 19297\n4502 13138\n799 6194\n4908 8931\n3532 4135\n6083 18706\n9453 17107\n8493 10648\n109 18633\n12478 12591\n5400 15239\n8461 14627\n7874 16502\n729 11571\n6087 16671\n2780 12127\n2603 15375\n5212 6203\n1710 8307\n5729 18812\n5964 11121\n4964 18970\n8124 15918\n218 12015\n2307 4950\n2502 14531\n7147 11191\n1735 6194\n10623 12112\n2109 5111\n6593 12287\n9316 15451\n1926 5686\n6467 11154\n3555 9288\n2948 5208\n6645 15687\n4562 11174\n11649 20033\n2984 14961\n11882 13465\n9768 17673\n16057 16617\n2743 3265\n10843 18525\n6371 15458\n10534 16044\n12361 18405\n201 7872\n435 10657\n3573 4963\n5286 13309\n1420 7054\n15228 17672\n5490 7120\n11282 19045\n8312 15527\n6638 18091\n122 6396\n9732 17455\n15994 18986\n4546 11226\n5567 14168\n1 10800\n2533 14663\n5253 16590\n5484 6338\n8250 8723\n14882 18128\n9578 17299\n17992 19060\n2761 16498\n1523 18587\n9950 17824\n5143 6263\n7588 12843\n12056 18312\n8248 13223\n9813 17510\n8939 17602\n10604 15892\n4281 19891\n1241 17055\n6440 13768\n9183 10018\n3463 16924\n3052 8296\n4624 7760\n3134 6103\n17007 19205\n4778 11369\n8267 16401\n8295 16796\n4337 16090\n12 14646\n640 1347\n252 4412\n1774 6631\n5171 17357\n3824 13513\n5025 5092\n6931 10092\n9442 17809\n8693 17597\n14955 18813\n318 9185\n12586 16337\n2931 18525\n131 15939\n5264 17825\n3680 9771\n2683 17641\n1213 2939\n12349 14599\n5936 9745\n185 17046\n2212 12582\n10159 11482\n11074 15789\n6717 19849\n7556 8234\n1715 19077\n11865 12301\n15164 16734\n8609 14212\n8290 19875\n4722 19071\n16053 18960\n3776 4219\n5592 15456\n774 16187\n12532 18807\n2329 13097\n825 16899\n5379 12040\n2703 8526\n10427 10466\n9183 9228\n2066 6254\n6101 9274\n231 6978\n4120 5826\n7113 19387\n3133 10406\n820 6942\n19433 19920\n13199 17557\n1486 19495\n5012 11082\n12820 13189\n4994 17530\n17444 18433\n5547 18988\n17370 19061\n3439 8542\n4397 15961\n7405 17257\n6915 9700\n4934 5936\n6405 7637\n1363 9095\n1697 4820\n5073 18881\n2026 9614\n9012 9885\n10648 15191\n2016 14868\n756 4976\n6826 18449\n7770 8296\n7815 18478\n5674 13757\n5178 12777\n1737 14203\n7683 12870\n5326 7930\n494 4555\n15965 18108\n14520 16066\n9000 11798\n3963 19713\n1172 10721\n973 5713\n1278 16892\n7786 8534\n7951 16567\n2987 15244\n945 12602\n6345 7512\n16783 17329\n6458 18918\n1626 19212\n10220 15518\n13724 18012\n4938 14562\n10014 15882\n9697 17919\n142 20115\n19242 19846\n8061 12361\n10727 11736\n7239 18468\n3910 13848\n4417 14118\n11903 15800\n3598 18662\n7530 18030\n1389 4188\n4508 10677\n8399 14173\n2452 8273\n4082 11417\n10071 17918\n1851 11561\n5363 8880\n15103 17250\n2201 8813\n1894 15687\n7899 18097\n6227 14773\n5966 18525\n9411 17918\n2532 13397\n16851 19927\n3444 8858\n10315 18862\n1851 13166\n5236 16164\n6728 9898\n2880 14742\n1708 9502\n12475 13298\n4598 9036\n6694 11014\n10355 14857\n11944 19415\n8907 15176\n7602 9196\n7592 12411\n10258 17079\n6552 7150\n7623 8917\n2501 19571\n9761 14819\n4893 7343\n14423 18916\n16336 19826\n10299 14410\n13289 20099\n11128 20045\n6205 18538\n7177 8921\n6252 19230\n4834 7002\n2542 2764\n2672 5631\n2038 4016\n10071 13138\n114 16124\n7982 14909\n1580 13434\n6799 12579\n9539 13159\n81 12241\n12441 16070\n3703 4356\n11211 19504\n8767 18520\n8308 10375\n5857 16405\n1805 8613\n12184 18851\n14494 18516\n10867 17578\n7125 15105\n6331 9090\n1143 11081\n6796 12256\n10335 11758\n6251 10426\n7841 17357\n2949 19115\n2215 6272\n9933 16035\n9357 14257\n2566 18238\n8111 10020\n17189 18964\n19235 19310\n7455 14986\n9795 16537\n537 13336\n5188 13598\n140 10370\n9246 14906\n4400 15272\n1432 5460\n13051 20180\n2297 16865\n8740 8792\n2383 14760\n1267 9178\n733 16059\n17154 17200\n5173 15914\n6265 17427\n10589 18225\n14706 18254\n7321 19455\n8560 17168\n4578 11320\n2805 17054\n8266 19916\n595 7919\n12424 19106\n220 8713\n7061 17910\n3629 8542\n10770 16976\n6432 11298\n433 1005\n15803 18226\n11012 18414\n881 8402\n2098 6275\n9014 17065\n1684 20230\n9384 10396\n1276 16151\n992 1207\n6074 14584\n3437 10025\n3571 9878\n5013 15282\n1586 6400\n11911 19576\n7399 14207\n18530 19935\n11025 14903\n12452 12861\n16795 17129\n10078 19617\n19811 20287\n6681 18906\n831 14911\n6688 17581\n4834 7084\n3316 3618\n6915 7740\n4514 15609\n13 10827\n8179 11021\n12984 16297\n5609 19927\n4202 5706\n2625 6667\n11899 19226\n9249 13189\n12959 17911\n15577 17131\n427 10925\n7327 10055\n2725 14866\n6693 18258\n12727 19059\n6595 12650\n12270 16606\n14335 16117\n5008 15406\n746 18219\n6636 20123\n746 15459\n5241 14996\n627 5914\n3122 20281\n4613 18583\n9499 10899\n910 17388\n6830 8651\n8934 15134\n8668 11276\n1974 11811\n11264 18370\n1713 4987\n107 4691\n4900 10696\n3484 18197\n5301 5445\n7961 9619\n18806 19396\n2319 3606\n2993 15592\n13867 16374\n8452 18612\n14261 16752\n6489 14118\n1289 8959\n4298 15903\n901 2421\n2412 14992\n1621 7880\n9388 11156\n12625 15559\n11873 18848\n3979 4844\n11291 20208\n1571 20214\n5605 12032\n4846 19374\n14371 14746\n6698 13828\n8872 17044\n18646 19041\n13463 18436\n5851 9641\n3599 5982\n2871 7005\n9518 19789\n1684 17166\n18 15645\n19483 19925\n2770 9309\n16149 20156\n7090 19290\n16328 17485\n3432 8544\n4651 7371\n14233 14741\n5148 7230\n3386 14308\n4157 9128\n16039 18316\n11335 16558\n2842 13573\n5813 18359\n12514 18120\n1564 5629\n4556 15551\n5113 10922\n10465 11990\n2467 6603\n12864 12881\n11998 18939\n8443 8988\n9092 14866\n9968 12380\n356 389\n16097 19248\n7692 17611\n2476 11718\n12144 15960\n13320 14466\n7362 10506\n12381 17827\n417 6670\n8690 15755\n7753 19033\n3053 6238\n15239 16371\n4932 10197\n13216 17153\n6806 16960\n11086 16317\n6310 17659\n3663 19258\n4843 16711\n1014 20151\n12894 20171\n7598 17416\n7962 18224\n126 11663\n1036 16749\n717 8349\n13317 15204\n910 9677\n6192 13191\n12058 12073\n16081 16157\n5631 20195\n13706 20104\n12316 15089\n8384 19673\n12086 18046\n10126 14784\n17 3791\n15377 18011\n10382 12602\n101 19288\n14198 14616\n51 12156\n7771 15978\n655 16514\n15658 18188\n5253 14216\n1770 4376\n4205 9658\n1424 6413\n5324 16110\n8479 15950\n14098 16634\n2143 18546\n7203 12346\n10117 14762\n11170 14557\n3990 5137\n5903 19621\n5407 11969\n6369 6507\n2353 6665\n3177 20001\n11327 15217\n328 6886\n5262 8569\n10096 18097\n805 15859\n177 568\n7435 18379\n7018 19821\n4478 8018\n1045 4661\n10571 19858\n6288 14981\n3578 8998\n5635 16191\n914 13976\n3652 14613\n7529 17516\n5664 13667\n2853 3133\n7362 17448\n6311 12960\n12061 13567\n8921 19795\n7590 8172\n10278 14094\n44 17786\n2130 3080\n15875 17504\n4255 5077\n6765 8296\n2668 19334\n12699 14314\n11864 15845\n7788 11073\n8473 16093\n5982 12445\n1353 2305\n5107 14046\n14162 20003\n8812 15351\n7995 9293\n4597 9131\n11981 12010\n1675 2148\n1703 19516\n1889 8975\n6294 18167\n3187 12539\n7470 17822\n6279 16769\n2292 5732\n328 16216\n6050 13417\n9201 12832\n11463 15792\n4484 10367\n3333 10628\n6463 10472\n13614 18201\n382 1984\n5840 9714\n3662 11118\n9281 20259\n18885 18911\n11732 16598\n10710 20144\n1941 13648\n6714 17346\n12284 12359\n5864 18465\n5224 16303\n11307 12621\n9254 12785\n4413 10678\n4660 6328\n13667 19764\n1200 19641\n424 14982\n2360 13690\n3344 19202\n12075 14771\n1288 7983\n4377 13057\n3674 18417\n843 5204\n653 14614\n837 7601\n367 9466\n7081 7667\n4975 13221\n16603 20226\n3817 10109\n13327 17098\n4424 14763\n13695 13933\n564 11380\n13033 18574\n10701 18369\n7101 9256\n5930 8770\n10062 18527\n4644 14211\n2874 17603\n1402 15357\n942 11634\n2283 18257\n1054 12130\n2243 8172\n615 12875\n2847 5798\n2141 8881\n13213 16197\n15824 19058\n14543 18392\n5577 14781\n11480 12862\n237 12029\n9069 19326\n5762 11667\n8627 10425\n2821 14946\n8635 9076\n7842 19958\n9960 14617\n7073 19894\n4117 20079\n14873 14919\n1389 19602\n5954 8227\n1235 3347\n12478 16536\n14961 18036\n7437 14029\n13912 14883\n4193 7529\n17772 19849\n7757 8304\n4709 9794\n1647 6948\n1394 11278\n591 9068\n18097 19377\n10914 15532\n1728 3222\n17662 17863\n10055 15069\n4294 13047\n634 12356\n14241 15714\n12299 15643\n8299 17157\n8661 18045\n13685 19890\n13905 19747\n3104 8634\n2048 2870\n4225 16274\n8149 9307\n5838 19721\n5855 16748\n9411 16136\n12424 14281\n1114 2582\n11125 17052\n4372 11126\n15391 16732\n11584 19362\n14207 19856\n629 17698\n2156 3568\n7910 10880\n2416 19050\n13476 17452\n5042 19238\n3698 16482\n732 15949\n2204 10048\n868 1584\n5145 18351\n6073 9118\n16935 18627\n9322 13922\n13160 17004\n14855 19847\n3016 13305\n1201 4747\n15238 19458\n12617 12979\n8263 10646\n5880 20188\n8978 13712\n1916 20067\n1151 11674\n983 9469\n14338 17585\n2502 11272\n202 5805\n978 16617\n2086 5080\n11933 19011\n2871 7283\n8044 16035\n2923 11443\n14419 15990\n350 13469\n8643 19289\n4229 10116\n5320 9876\n5662 16531\n4239 8414\n12415 17939\n3661 18715\n3597 5786\n10456 10909\n12911 16330\n18986 19846\n5216 9731\n10571 15838\n9195 19060\n212 5544\n7293 18569\n6090 12267\n11257 18151\n9768 11908\n2156 9070\n4080 14290\n4128 8860\n8561 10683\n8503 17213\n4748 19389\n5983 14053\n18201 18775\n11747 13338\n4231 13205\n15730 18761\n12815 15166\n6363 9556\n4349 6485\n794 5482\n4647 11745\n11461 18084\n6092 10120\n8887 18955\n7641 17142\n12693 14363\n3992 13616\n7728 16353\n1690 4857\n12619 13972\n2232 11727\n82 10603\n3297 7261\n14742 19917\n12838 13258\n2216 10205\n5708 17412\n13319 18023\n7722 17850\n15919 17351\n6195 6420\n1511 8807\n9570 17486\n8597 12174\n9759 19930\n1672 12501\n1707 10862\n8567 10276\n6260 15872\n1114 11462\n3166 20272\n3405 17438\n56 1847\n13310 18277\n4398 16060\n17295 18558\n2249 19816\n16956 17861\n2446 12321\n10221 17228\n3375 7738\n6769 19421\n15568 16122\n5427 8006\n4664 10568\n1271 9298\n6599 7935\n4946 6908\n17664 20119\n1586 13552\n3344 4390\n18751 18956\n2323 9753\n4281 14078\n3742 12080\n1282 14045\n10527 17138\n8694 10129\n5247 16028\n409 15857\n8563 8620\n4703 13385\n4279 12595\n444 3762\n341 1976\n955 7681\n12808 15751\n4719 5459\n7242 16620\n14114 17576\n452 6788\n12573 16621\n445 9957\n13208 19896\n1439 8604\n4710 18549\n5185 11893\n13718 18374\n7296 9014\n2288 5908\n3227 3359\n1435 18334\n8945 12319\n12932 15896\n2363 14828\n2631 9019\n3302 12553\n95 7949\n16283 20110\n10487 10904\n3819 14578\n1560 10753\n10966 12366\n14711 16484\n1880 5234\n1999 15105\n9317 14695\n513 17954\n5639 5695\n12042 14040\n1260 14274\n2125 12438\n2033 5813\n859 11077\n4728 13666\n12358 13755\n6765 17756\n887 16223\n194 15801\n3490 16940\n6672 7193\n1988 13039\n7955 14034\n18229 19508\n10474 10987\n5913 19707\n788 9894\n12048 18326\n749 13977\n10369 15364\n2289 16161\n10542 16526\n1423 2819\n1826 7952\n2799 4550\n3644 4454\n211 18252\n2110 14209\n7624 8456\n494 5158\n6557 18266\n2346 14581\n15834 19179\n2306 13548\n3848 9989\n4229 8139\n7597 18005\n9992 17372\n4599 14982\n5931 8565\n5864 20208\n3880 13066\n3806 13401\n738 1398\n5844 15213\n2727 7669\n10088 18256\n12229 17142\n1797 12579\n2516 19562\n7272 16046\n7997 19944\n4612 15102\n2529 5459\n9648 14660\n976 13260\n7356 12989\n5193 14249\n6807 16041\n6191 7608\n2819 4325\n2535 17839\n773 20210\n16098 17849\n9152 14536\n2847 9557\n10291 19244\n3376 4803\n1475 15632\n1015 11965\n595 7948\n3966 17187\n5066 8675\n2311 11953\n5471 6804\n719 19981\n1625 4263\n7121 19017\n11547 19012\n3772 8577\n1787 9171\n3126 11776\n5166 9894\n11603 14188\n15361 18250\n10058 16663\n742 19966\n7204 7516\n4315 7378\n12713 15792\n1456 18963\n419 7886\n10396 17377\n1932 5081\n12755 18965\n17973 18109\n4135 17351\n8128 15062\n2747 14559\n16848 18763\n15900 16745\n1957 13926\n15938 19341\n6710 20156\n271 2731\n1820 4852\n3766 7383\n271 8613\n9944 18045\n13933 16724\n19150 20259\n682 8753\n683 18660\n12156 15581\n2114 14923\n12776 17890\n10226 10825\n5665 6318\n3285 7339\n5858 9804\n10595 13917\n1558 16073\n13059 13637\n4902 11417\n714 3938\n1066 14302\n12146 12700\n14555 15505\n11449 17959\n9500 17526\n5198 11610\n791 3173\n4845 8202\n2203 19691\n6430 9356\n1058 16666\n6171 10056\n6059 11825\n10104 18325\n2694 16553\n7047 7207\n11772 17174\n10323 12979\n7466 10164\n3167 6879\n11394 18724\n7581 10214\n3951 4724\n3164 13071\n944 5229\n5501 8750\n5796 12812\n9699 15421\n3041 8079\n6140 9317\n17395 20272\n5118 7264\n5789 8651\n7214 7271\n337 18696\n14018 19494\n6764 9925\n2394 19600\n457 13117\n7342 16506\n11406 11823\n7480 15662\n541 8335\n8430 14723\n11306 20136\n18402 18681\n4286 15332\n849 1726\n2465 6532\n5252 17813\n30 4516\n10945 15589\n14933 17539\n5498 12645\n6696 9155\n13732 14860\n808 9241\n13457 17341\n4354 11084\n3242 4752\n5117 18582\n4441 18921\n1630 16259\n4196 16745\n8164 18216\n958 5994\n2200 8175\n4052 14240\n12831 17384\n10313 10445\n2480 9472\n5839 7544\n2227 10233\n18521 19896\n18219 19365\n13395 16325\n12008 18202\n9593 17907\n9172 15168\n4961 6733\n9623 10169\n6689 17991\n3722 11335\n2300 16657\n17355 19750\n1597 14056\n3748 18147\n7443 11137\n5117 13516\n8617 20268\n2813 16392\n7173 12907\n10081 12697\n7454 14729\n17916 18497\n10645 17214\n5299 14285\n911 16137\n209 15846\n10174 15835\n16888 20177\n12934 15087\n6751 14633\n9038 15835\n1441 9336\n2703 5663\n15252 15958\n9048 11647\n2170 19071\n4188 18724\n2910 18447\n8093 14683\n18737 19553\n9273 16476\n16159 16884\n7380 14193\n7399 16418\n13027 15521\n8029 12845\n3425 4861\n8646 14382\n5401 7416\n4968 19989\n5080 18852\n8581 18597\n9910 18773\n2997 14191\n11696 15976\n14419 18724\n3295 13322\n3315 3771\n1230 12964\n7690 10292\n12708 12765\n4838 18807\n9364 19230\n3647 14097\n14860 16485\n4100 10049\n11727 17297\n3664 16417\n5388 14026\n1732 10696\n13644 18198\n6179 14197\n10714 13040\n8824 15180\n3482 10863\n4233 9606\n6471 18381\n2003 12069\n4454 19328\n3560 15770\n12431 16561\n5519 6778\n4596 15775\n3485 6769\n2167 14230\n5525 17735\n8146 9331\n10551 13534\n6659 7783\n4344 10296\n5365 15420\n4328 11711\n830 12009\n9188 18012\n6810 18206\n14221 15553\n367 18971\n2999 11617\n18700 20141\n8194 9259\n3148 8818\n5921 7386\n2605 14511\n11780 18869\n2852 16943\n5930 16897\n5590 11768\n888 5319\n3718 15288\n14147 16526\n14900 17867\n14048 17698\n304 13264\n3450 9433\n3736 6934\n16038 16675\n4900 5072\n3011 3571\n9599 12745\n9092 14291\n1996 6674\n1467 8619\n12314 18775\n8287 12949\n9123 18090\n5697 19280\n1328 6447\n9443 9889\n6128 12523\n12072 14590\n12621 15493\n9057 17506\n1137 2145\n11800 13640\n13781 16765\n362 17622\n1064 19041\n8317 18543\n10433 10780\n10356 16679\n1603 16409\n4891 5215\n11206 11502\n4990 6365\n3285 10292\n5914 17835\n994 5605\n572 17722\n2804 10474\n11812 14304\n5169 18265\n11728 14175\n8705 9875\n4831 18881\n18915 19430\n5773 18138\n521 16238\n3575 18017\n8582 19683\n9786 15491\n1461 15994\n8158 20218\n2392 4015\n3155 5241\n4307 19511\n9622 19933\n3012 14457\n14261 18447\n16286 19017\n13393 16132\n13846 17763\n1433 9631\n5604 19512\n1799 12134\n14983 19954\n14049 14743\n16825 17314\n8762 15007\n6209 19077\n12112 16840\n10187 19943\n172 17061\n10788 13057\n8540 13970\n11842 14208\n10071 19341\n6659 14493\n1407 2789\n677 17228\n9857 17900\n7496 12737\n9046 13564\n12658 16360\n3696 14835\n4599 10427\n15548 18973\n3668 7406\n9213 12607\n5991 11898\n2972 7002\n12706 18926\n17023 18388\n13385 16975\n8854 16439\n3169 18807\n10600 13093\n9092 14475\n3615 17740\n14334 16243\n9426 15810\n6793 18060\n5630 8225\n2851 6838\n8335 12301\n8881 18213\n10036 11204\n8957 14772\n4046 19549\n13219 14916\n12934 19201\n11776 19275\n9402 17385\n17210 19900\n2753 5413\n7811 10060\n4756 10181\n3139 5596\n4418 6622\n696 11292\n13442 15103\n377 11220\n8184 17137\n3956 17547\n1131 16338\n12476 17508\n480 9151\n588 9286\n7200 20141\n1020 2595\n8203 19865\n231 10347\n4302 16562\n13987 17572\n8966 16673\n1783 12881\n3047 11959\n1213 18501\n14283 18501\n6909 19619\n3017 8811\n7432 17488\n15919 17200\n4175 15472\n207 11620\n1746 10047\n18302 19839\n11990 12321\n7907 19931\n13445 14712\n6208 10638\n2530 5648\n9309 18094\n12147 16930\n12900 13973\n4887 7804\n7331 20143\n1219 11781\n6058 6772\n1239 6389\n4208 10361\n3022 7596\n10745 19695\n3482 10593\n413 1735\n11598 13051\n7960 11042\n509 15610\n9784 11986\n3990 11823\n248 13934\n2810 18459\n1245 14953\n9212 10051\n18305 18334\n2290 15451\n11945 13186\n9085 20109\n6246 17044\n9928 14663\n725 7223\n598 13495\n9047 10329\n9139 18852\n1338 18826\n14731 18622\n8177 16995\n5691 11391\n3966 14799\n9697 13094\n2687 7991\n5378 8745\n7382 17840\n173 9376\n13850 19624\n3652 13177\n2493 7154\n6985 15535\n5695 19726\n9460 10313\n1688 6471\n5903 16590\n9042 17890\n10985 11320\n6467 17605\n4974 16016\n2456 2586\n5272 15635\n10487 14199\n491 14294\n11908 18493\n8479 10052\n13530 17780\n865 10435\n8369 12349\n9661 15233\n1754 7802\n2283 10363\n3503 17199\n15530 15602\n12463 18226\n937 7122\n275 10859\n5357 5646\n11469 17710\n8766 12724\n2350 18579\n7774 8572\n15494 16430\n9362 13767\n8893 15790\n2320 6611\n3521 19793\n9394 13791\n9731 19565\n15881 17457\n11075 13903\n4140 13610\n6474 20140\n13365 15341\n7637 7967\n3156 15938\n1730 3503\n8339 15181\n8224 18720\n7255 18677\n6555 19265\n8133 14185\n16522 18935\n273 19718\n5537 12096\n2566 8785\n4948 15780\n10034 11020\n3750 18289\n8832 18815\n6585 15946\n5795 16300\n8264 11330\n7956 8135\n2331 3438\n9093 11532\n1024 9593\n5342 9361\n3105 12724\n2733 8715\n14107 18033\n9648 17151\n1008 15221\n2565 11185\n885 12147\n3865 9535\n13994 14364\n10018 11892\n8517 10368\n152 13030\n335 12093\n5239 13344\n15195 20147\n1619 19513\n5314 7168\n11633 13443\n525 14519\n2710 11452\n210 9119\n6753 8947\n3946 17603\n537 16681\n5356 16152\n6305 10971\n8625 14820\n18101 19339\n3851 18178\n13797 20048\n630 15794\n19026 19576\n13560 13644\n7866 12340\n4411 13215\n6923 12731\n19713 19891\n3527 20283\n3980 13816\n1286 8268\n1652 14323\n5036 16932\n2263 15090\n17123 19869\n1622 6359\n7460 13138\n15004 20047\n2141 9973\n10385 13945\n10466 13939\n17910 20217\n7094 10537\n10651 12623\n2590 5353\n6224 12301\n12225 18717\n15302 19474\n15933 16403\n11116 15961\n16101 17394\n6753 14548\n4995 16393\n8063 12483\n5154 5807\n8200 18441\n10886 11270\n7076 14789\n274 14898\n11304 19459\n4042 7285\n2987 15784\n2037 12735\n10207 11473\n13991 17308\n1706 6633\n8690 13283\n4524 17604\n6347 7327\n7427 15279\n1979 16563\n1983 4504\n12610 14126\n4613 7987\n2898 6503\n2734 15358\n3329 19812\n13197 17383\n13506 15844\n11339 13113\n9006 19742\n1879 15910\n2174 8526\n11740 16795\n6492 17470\n9702 15385\n2885 5445\n1787 12131\n3102 12446\n7123 18324\n5223 15270\n4716 4958\n6085 7183\n1944 19490\n11342 18304\n11059 17344\n10499 13008\n19008 19673\n3288 17041\n12969 15226\n1888 6263\n2727 12665\n14102 18849\n2588 8153\n4741 10631\n17200 17458\n3054 14468\n1100 17707\n859 13824\n11011 17101\n5534 9550\n8157 14254\n12313 19171\n3656 7611\n802 9584\n3575 7084\n16607 20012\n14177 17856\n9848 13357\n8780 16779\n3207 11776\n11026 12864\n4006 12097\n415 11988\n18853 19557\n4330 19539\n8198 15564\n2269 3022\n550 15960\n12263 15953\n3580 4332\n9033 17218\n6055 15008\n1013 1423\n5029 15068\n6791 15243\n5573 15464\n2 15185\n920 6763\n9764 13222\n3134 8885\n7866 11931\n3072 14825\n8224 18834\n4938 11969\n15766 18352\n2586 3629\n4970 7275\n370 10266\n1488 19951\n1944 16922\n2189 13678\n1580 7331\n7267 11421\n14811 15483\n1228 3559\n12160 14612\n13618 19304\n14481 16663\n6881 15298\n5618 17864\n16392 19576\n7741 8708\n9508 18718\n9489 12272\n1210 3506\n3627 15751\n15295 18358\n1195 11263\n1348 4827\n3333 16761\n2074 6052\n1212 4000\n8194 9385\n10140 14514\n3266 11453\n8354 8836\n3378 10768\n4877 19470\n2219 5757\n8621 10424\n5735 19575\n2997 10832\n11037 19865\n17660 18663\n4715 18229\n163 14512\n592 4654\n8731 19754\n9721 13768\n7115 17740\n1956 2750\n2274 5973\n478 8297\n8376 15500\n4193 8991\n234 4457\n2127 4763\n7717 13180\n14547 15908\n11490 16673\n13891 18206\n8417 12539\n2342 14417\n6659 17227\n5925 14581\n1895 8008\n10360 12122\n6680 17606\n3697 15001\n6298 13641\n3229 4727\n474 19867\n9020 13569\n1603 18946\n3043 13523\n13537 19571\n1158 18282\n12187 17514\n9541 11058\n16 16083\n18407 19827\n8289 14305\n5921 15692\n375 535\n8220 13869\n2669 9115\n4943 6671\n637 1462\n6654 10089\n1232 10645\n8218 19367\n8077 8447\n152 264\n1059 8022\n19583 19916\n13739 16067\n9157 10289\n13948 15037\n1147 17619\n5764 16828\n5880 11533\n3231 4777\n1203 6589\n2439 8427\n7996 15824\n10500 15910\n6590 14912\n5745 12364\n15597 19616\n9512 13706\n8806 12969\n1362 11967\n882 7808\n5274 10102\n7556 7994\n954 1804\n13727 18896\n14124 15121\n10199 12330\n5190 15999\n9390 11322\n2250 2991\n8152 14409\n9058 11287\n11201 19576\n13927 17432\n3144 5911\n3516 17369\n6365 19651\n8223 12896\n63 6754\n411 10977\n18717 19264\n15316 17047\n509 18573\n16031 18901\n15557 19631\n7698 19052\n6910 13318\n1197 1888\n7876 17859\n12361 13034\n1314 18951\n14693 17451\n8364 19251\n14572 18882\n15472 16827\n537 11454\n3631 19693\n7339 11475\n1391 5694\n777 12752\n1256 15576\n10112 16501\n10721 18179\n4207 18196\n11634 18324\n64 1423\n14782 17740\n7870 19975\n14206 18120\n917 15696\n3868 10938\n3422 13261\n8919 13151\n2592 15078\n7964 11598\n6900 9853\n6798 9293\n5482 9038\n8792 11077\n17699 18996\n4151 12985\n787 14316\n3562 16479\n11198 13474\n17533 18120\n3501 13539\n5367 14042\n6284 20116\n9734 15856\n9222 13736\n6217 9233\n2389 8890\n1130 13595\n266 17506\n934 12720\n3225 14705\n4870 13170\n12860 15287\n6366 8573\n697 6905\n12384 13123\n9196 10680\n649 12302\n7410 8421\n5667 18694\n11286 13438\n13759 17968\n7241 7782\n12100 13376\n6746 16425\n4545 20016\n10482 17310\n3514 8067\n6495 16778\n15555 17603\n8635 8951\n10222 13089\n1454 17397\n10017 17531\n2142 19390\n4572 5370\n2972 5901\n1461 9184\n12824 16597\n7201 9011\n9410 15195\n6394 11835\n2998 8130\n7310 15478\n3103 9440\n5980 7145\n1712 5460\n6628 15496\n11523 17264\n4978 7874\n8993 15584\n18905 19788\n1279 19647\n9080 11905\n13242 19055\n557 2760\n10786 14388\n7514 13832\n1229 4839\n8879 16462\n6989 19762\n9610 15192\n2486 11101\n5766 19400\n1826 14253\n544 6357\n7782 9757\n3401 10295\n6135 18918\n5979 15331\n6389 8937\n10454 13148\n7141 14787\n6780 19037\n9133 14830\n3975 8092\n6801 6921\n2087 3997\n5062 10074\n8686 18519\n3313 6481\n225 9916\n10195 16957\n7383 20010\n480 4221\n1563 16559\n2265 11717\n18994 20157\n4079 14059\n10215 15237\n1017 15894\n1894 9279\n1961 16140\n15258 18824\n2834 9823\n8522 12624\n8766 9924\n11517 15409\n6529 18702\n12972 19261\n2032 9065\n13708 15631\n11089 11786\n4441 6171\n4112 19323\n145 6817\n11581 12166\n4836 10865\n14636 19489\n2071 16098\n8822 15408\n1867 6617\n15723 18238\n10000 12784\n3610 6972\n2539 18228\n637 5025\n64 11054\n823 7259\n4427 11958\n1948 17876\n12863 17651\n12803 14040\n13601 19469\n2616 19663\n2209 14591\n907 19000\n7207 14137\n10384 16389\n108 4738\n15954 19077\n2625 11984\n12727 14984\n264 4115\n7696 13090\n642 6314\n9463 17787\n1803 5922\n10117 11401\n908 10944\n3250 19719\n6198 12868\n7056 7275\n317 2581\n4499 7221\n9385 15981\n5478 10523\n245 8184\n2088 11954\n1807 19378\n3971 6228\n3945 16823\n9380 16069\n18098 18891\n3256 11604\n2704 5928\n6032 8777\n10291 14819\n4368 12376\n11082 13966\n2204 18410\n13313 19961\n3296 3505\n3911 6046\n13090 13765\n2400 19370\n19073 19355\n7716 13215\n9112 12955\n10716 13223\n1763 2028\n11375 14938\n3864 7365\n5985 9593\n2436 14204\n11066 11904\n12932 19263\n3877 5455\n2398 5291\n11915 12229\n935 9314\n15340 17730\n7690 17474\n15626 16125\n8248 19412\n9850 11659\n7129 10509\n8820 10990\n13796 17199\n334 18620\n14408 19768\n765 19106\n3985 13971\n14951 16216\n5578 18521\n4198 5195\n4881 16846\n10384 11711\n12806 13683\n13350 14084\n18164 19937\n1830 9116\n6223 13393\n242 3721\n1251 18169\n2980 3713\n8269 17826\n14506 16185\n3285 3831\n3622 4742\n10111 18046\n2068 12920\n16002 17710\n5532 5880\n932 19084\n16 19618\n4929 7031\n3152 16719\n2090 18049\n5629 11483\n1014 15675\n11220 13946\n2991 4127\n6919 9520\n4123 8096\n4307 16930\n2739 8664\n6889 19509\n13875 19081\n2448 8362\n3176 17942\n6034 16030\n11109 14869\n9240 17818\n15717 15884\n2928 11132\n4421 20223\n734 10214\n2196 5927\n6111 10836\n5901 16714\n1576 2908\n12796 17011\n4564 12844\n4596 19947\n7975 9647\n7138 15235\n2214 15326\n15530 18841\n9873 13564\n13440 16396\n3458 7526\n1526 11152\n13833 16502\n1597 6000\n1292 6335\n611 17103\n817 17235\n16230 18042\n4724 15506\n4028 9697\n2698 15241\n1865 3872\n12143 17342\n8907 13989\n11557 17768\n1168 11199\n1118 2290\n2832 10880\n8625 13780\n13329 14806\n8114 17249\n1444 15116\n1141 8220\n12663 18086\n1099 13627\n4956 17488\n11167 15186\n5261 5263\n4522 17049\n7849 17966\n8643 10903\n5335 15218\n5195 8198\n4018 19182\n5862 19307\n4445 14133\n11328 13826\n5131 15101\n14266 20002\n10387 20049\n10141 16151\n757 5004\n11709 19747\n2008 15002\n3995 10811\n5937 17021\n12604 19229\n14776 19422\n1710 10986\n8567 8907\n73 1936\n6435 19991\n4214 14097\n13473 18143\n1822 8043\n3239 6069\n1071 12795\n3316 18965\n1075 6384\n3516 12984\n14420 16018\n16137 16639\n7246 11722\n8589 11321\n570 741\n2837 3361\n2100 5608\n10460 12434\n13072 13554\n4753 16480\n15085 17182\n7748 12265\n2182 4193\n13473 15272\n420 12846\n626 16238\n8704 18222\n11758 20136\n2993 17718\n4010 10529\n1630 10958\n5709 16414\n781 5485\n10112 10801\n2330 12226\n2712 19332\n1140 18261\n8845 19478\n4719 5469\n1375 8316\n1217 3848\n395 7009\n15941 18815\n5225 7879\n7710 8944\n3686 11008\n2622 15515\n3343 11900\n2310 19302\n2350 17028\n4243 5359\n6594 13698\n7572 13841\n10690 10933\n11109 16999\n8897 16869\n8204 12860\n12778 15190\n1492 14587\n8167 13619\n1087 11631\n3253 9363\n16967 17502\n3162 8627\n16390 17322\n12475 12779\n10946 14854\n7124 14549\n3333 6515\n424 7723\n2394 7147\n5520 17199\n13198 13557\n1187 1674\n4734 15430\n15497 20246\n614 15748\n15563 16688\n11 10801\n2648 18531\n5103 12045\n4296 11788\n9341 18771\n12232 16047\n3473 14067\n11372 13753\n15456 15967\n7597 12113\n7493 15757\n3756 4352\n4487 10194\n10829 13058\n5488 17415\n2436 5170\n1168 8632\n11827 15710\n453 4364\n1879 3890\n2701 10836\n3164 16324\n5086 9220\n2265 8570\n11393 18696\n4449 5478\n13057 16294\n3485 6737\n7339 19984\n1080 15296\n524 7300\n1177 9595\n13875 14430\n5565 6178\n17091 18123\n10988 16827\n4809 5985\n3797 6807\n8069 18870\n17874 19065\n4005 6446\n7928 10032\n14713 19264\n10972 14723\n1354 2928\n10660 18819\n5880 19046\n7442 12916\n2871 16228\n4837 10455\n4773 9367\n4439 11225\n1402 16974\n1686 3838\n10993 16586\n8265 18316\n1330 16708\n2428 14897\n13897 19146\n3962 9979\n10152 13530\n4856 17865\n5355 12089\n3396 7651\n994 6756\n8775 9916\n13613 14844\n15669 19415\n5836 8469\n10011 18224\n16748 17450\n9243 19548\n14016 19038\n2716 14420\n4042 13133\n7467 12804\n1865 17035\n5954 7347\n6679 11809\n2351 6851\n3138 17686\n2726 14414\n3788 19650\n197 19189\n402 6976\n5901 10076\n11292 19096\n12031 19810\n9029 13404\n5937 13918\n8220 8714\n12265 17130\n7686 14912\n5978 20065\n9806 14274\n15836 18389\n1479 9986\n16969 19405\n2069 15959\n14567 19203\n6630 19555\n11836 12840\n9617 11477\n425 7629\n5212 10054\n3918 9527\n3981 13498\n4694 7161\n10645 14520\n9734 16038\n13710 16214\n1345 7488\n2407 5402\n43 15838\n828 14718\n12017 16927\n13313 16287\n13909 20089\n18962 19759\n9119 16218\n16035 19856\n488 20140\n12902 16060\n8967 9055\n10428 18002\n2131 12179\n8004 12782\n4727 16824\n3346 8344\n4898 6073\n3383 14346\n15526 17123\n5110 9868\n103 7055\n3217 11239\n3170 19152\n3122 6780\n1939 8337\n1181 3126\n10923 15970\n11764 19547\n3724 15817\n7793 16302\n9567 10135\n3944 13337\n10540 15328\n8838 13018\n10909 16627\n2341 7132\n483 14411\n172 13163\n7441 9027\n1017 4671\n8746 10030\n1538 10821\n8535 10544\n2935 3217\n2454 6718\n4994 12064\n17796 18837\n8460 10050\n1359 18210\n17112 20241\n10052 12013\n12224 18972\n13437 20128\n1499 20236\n2844 8573\n1802 19587\n3606 10051\n7653 19233\n6650 12016\n7563 19365\n7071 7606\n8886 19450\n10903 13984\n2135 2651\n11720 18865\n8745 11796\n2247 11167\n4397 20059\n8020 16132\n11795 13192\n9365 15277\n4255 15560\n2118 4215\n7702 15803\n18854 20045\n6072 17146\n2755 20072\n284 9785\n10464 13456\n5688 17154\n8647 9440\n15643 18050\n1163 8117\n3021 20070\n5612 18665\n717 20213\n3266 20078\n16091 20113\n12092 15288\n8220 11920\n1158 15159\n18370 20101\n327 7713\n444 20107\n12731 14587\n3389 11591\n8795 15455\n195 11966\n9648 17868\n9062 16241\n13166 13388\n6511 13422\n12099 18701\n4559 14371\n10655 10919\n9780 10707\n2708 13103\n8642 18697\n5910 17891\n5501 14900\n7546 16593\n16742 16953\n5376 7647\n3854 12698\n996 4346\n10085 16834\n2026 4711\n894 13874\n5687 15625\n4018 15661\n10166 10536\n10406 16967\n12221 16522\n16775 19818\n8912 10410\n2844 9806\n6853 7646\n13471 19557\n15240 20109\n9784 18960\n2233 4833\n5800 11610\n9546 16959\n513 12341\n8017 19507\n13759 18121\n7156 14378\n10138 17190\n11403 15883\n5807 15746\n14918 19192\n256 269\n4559 20048\n1559 14886\n13682 18633\n1607 7367\n660 5848\n6739 11384\n13645 19786\n5287 6714\n18892 19338\n5233 9556\n8987 9243\n2346 18411\n3908 19706\n663 2142\n13101 18438\n7546 8826\n10430 17302\n7765 12701\n7494 16260\n755 17236\n6165 18998\n2604 4320\n10512 16753\n15426 15876\n4289 15278\n2071 11886\n9464 19771\n12003 13961\n4632 19645\n1462 9216\n7268 10866\n7274 9029\n19274 19296\n6311 8442\n474 14599\n17073 17953\n6697 13277\n652 6534\n8222 17062\n8452 18570\n7499 9668\n1230 3697\n11579 17623\n8128 12623\n18233 19046\n17419 20026\n763 15980\n7739 18643\n2820 18729\n9145 13591\n398 6148\n8874 9344\n2420 7720\n876 7043\n15069 15525\n2655 16036\n11523 16350\n12130 16558\n5174 9227\n11862 13368\n478 17224\n5959 8245\n1673 8550\n423 7392\n869 2103\n1426 10229\n10388 18496\n2607 3871\n3967 8422\n9823 12803\n3317 12281\n3189 11444\n14544 19332\n13504 14315\n3709 7828\n17998 19405\n15882 17643\n11573 15939\n17788 18485\n11776 14574\n5285 6532\n404 2015\n2576 5258\n1646 18506\n10945 14583\n4334 7279\n970 10064\n5146 13289\n6422 17393\n6018 10691\n10387 16224\n2105 2605\n2458 5721\n11130 13691\n3853 11666\n4679 10459\n1093 10283\n5963 8086\n13473 14897\n13177 18663\n1668 5073\n18896 19839\n7548 10773\n8607 18376\n11780 18288\n3995 7400\n12006 16044\n18529 19163\n9180 12350\n11370 19618\n3554 15098\n2488 19679\n12037 16171\n7593 14704\n1100 7345\n8582 10890\n8380 8659\n1084 15819\n1281 15229\n5891 13266\n7895 14062\n3365 18119\n3948 16894\n12910 17719\n3610 13179\n6567 16534\n2530 19237\n11624 17968\n16279 17946\n2647 7190\n9713 18552\n3848 11514\n13634 14716\n1572 3442\n2155 14141\n10661 12484\n8071 10012\n2992 17525\n4103 8497\n1741 4556\n1949 9111\n5576 17296\n3612 13860\n2298 3855\n18241 18671\n5548 11960\n13288 17712\n2083 3422\n8903 11996\n8494 18360\n3458 8554\n7920 16098\n1417 2972\n14629 14994\n8783 19921\n11809 14214\n5418 5897\n7915 13511\n12246 12778\n5935 9416\n6376 6595\n8045 14293\n8862 17799\n4382 9549\n4865 15309\n6964 14282\n11559 11567\n15172 19936\n5962 6006\n2259 3525\n5087 9422\n6602 18335\n8164 15143\n6647 19097\n6123 9702\n5151 17944\n4034 6246\n3477 9117\n7618 9746\n13879 16419\n1905 9128\n11014 14053\n1318 19133\n3120 11829\n5912 8765\n13463 18922\n7906 19026\n13773 16990\n8074 13694\n6146 14193\n3411 12837\n10158 18161\n9476 14269\n5400 10921\n1819 2971\n4118 10601\n8248 19541\n15829 19036\n4426 6135\n2475 14424\n9227 11221\n13879 16300\n1566 18776\n4765 6558\n3525 5481\n1008 3709\n15631 19785\n18373 19917\n6814 10443\n7845 12068\n3825 7652\n5709 16272\n10730 19981\n2758 11854\n1455 7651\n8031 10614\n6810 18855\n10162 10322\n16825 19462\n5986 13133\n6242 18532\n11574 15096\n9190 9402\n8981 10134\n10795 12120\n14096 15233\n14430 17766\n15412 18343\n19321 19581\n26 1908\n11697 11840\n9886 11904\n10932 15758\n9507 19901\n11702 16831\n2127 4264\n1796 19018\n1088 11943\n8338 8890\n10884 10998\n8584 12477\n11325 20205\n3189 13070\n226 4829\n3545 17319\n7080 12267\n6450 17818\n6704 19495\n1509 17276\n5351 16927\n10209 12064\n13330 14042\n630 13850\n6221 11010\n10073 18891\n13188 18021\n282 14612\n9648 15537\n6302 9427\n3129 20190\n5635 7480\n13971 15957\n751 14988\n9433 19777\n9414 10616\n162 4788\n741 8650\n7878 15678\n8140 10629\n1384 3473\n7915 10453\n8317 16459\n3812 16616\n692 12110\n11148 14999\n13970 17599\n4723 6661\n6152 12561\n8824 12381\n574 10408\n7739 13772\n7458 17130\n9042 19819\n104 8244\n1294 20055\n18248 18278\n13365 16572\n7160 17606\n161 11745\n8607 15955\n6143 13088\n4963 14476\n9531 19822\n12000 18314\n2996 17653\n17574 18360\n6437 19471\n7972 12941\n2598 19870\n4328 6131\n1943 16302\n1130 2699\n12765 13131\n16317 19929\n10083 10292\n7264 16872\n3412 14276\n12934 15759\n9189 10843\n8474 12115\n3456 8710\n16459 16966\n7774 11638\n6733 16946\n541 17658\n7701 8781\n13370 16396\n5371 18644\n1621 18407\n13720 15640\n1459 11210\n10952 12045\n10735 19433\n8930 19506\n1310 20066\n9219 19287\n1212 14957\n4727 14091\n14098 20037\n8644 15255\n12901 15942\n12074 13118\n5218 6888\n3551 8149\n2595 13855\n967 9053\n1288 4162\n12822 17132\n15342 19100\n4109 18888\n9682 10939\n9851 17403\n3999 7598\n10979 17030\n9411 15901\n3492 5273\n5346 17382\n5366 8831\n11144 16582\n2940 16412\n6458 9116\n8882 19479\n5576 13636\n458 17635\n793 3086\n4759 14061\n3403 10174\n3322 13765\n5643 8995\n1063 5959\n16803 19411\n532 10933\n2528 9840\n4808 18251\n11838 14717\n1025 7014\n5125 6467\n1042 8709\n1497 9142\n10245 14691\n9530 15422\n10527 15303\n4390 8727\n5964 8037\n10162 13412\n2002 12716\n8064 11574\n5610 19680\n409 6552\n814 18743\n5279 6144\n4310 9545\n3149 8879\n2016 7793\n6572 16683\n3049 19776\n2254 2389\n841 10391\n8490 13832\n1729 17701\n4039 11781\n163 1809\n8645 10521\n1532 5137\n11687 12931\n429 16110\n487 6846\n12974 18293\n3759 16636\n5792 14352\n11540 16484\n2414 17380\n2166 4727\n10117 19190\n12493 15391\n15743 18629\n15648 15966\n12008 12038\n1524 17687\n13775 15971\n7259 7496\n4196 11358\n1763 17020\n10070 17689\n6844 13846\n6289 8740\n785 926\n230 11715\n1047 12793\n7181 13123\n5337 18759\n15483 15527\n2425 10183\n8869 14198\n2417 5106\n3531 13025\n361 19180\n10562 18494\n1739 5594\n4562 16464\n101 472\n1435 19520\n9795 18241\n56 6804\n11781 12657\n97 8180\n5080 16194\n14632 18548\n239 8190\n9049 9529\n13157 16997\n8969 16031\n15406 19794\n6429 17167\n8376 11363\n9076 12489\n7988 12072\n5414 19353\n190 11051\n1451 13341\n2645 10584\n8172 16065\n13345 14051\n9151 12097\n16075 18390\n1819 13833\n3923 14599\n16626 17388\n629 20017\n4089 5781\n6811 12289\n2719 19638\n1338 5780\n8426 17516\n777 11673\n9343 16200\n10751 19195\n8862 8941\n1104 16850\n17422 18577\n1801 6073\n2010 17091\n8933 16201\n17427 20150\n11416 16413\n5140 11207\n10618 17364\n7874 15814\n421 11955\n13678 15675\n8346 19485\n11305 19269\n14577 19212\n14073 14814\n12610 12806\n6714 9338\n16676 20071\n8010 12560\n5992 10741\n3400 14107\n2521 16163\n6127 11714\n14699 17030\n6951 9827\n4931 15888\n1367 9075\n3207 16134\n11921 19794\n9051 17012\n5599 9958\n5988 15318\n11032 12012\n6929 13849\n13562 15904\n2191 2390\n2114 2887\n4639 7484\n12106 12277\n4387 7863\n4961 6331\n8804 11209\n2411 3284\n1222 8644\n10467 18733\n4835 17422\n9788 18474\n8471 8825\n3672 7411\n10576 17402\n2202 3069\n4863 5432\n13726 16582\n7771 13656\n14181 17264\n8053 19390\n10578 16330\n4172 9932\n3200 5549\n9438 15383\n9574 14314\n8191 11481\n4993 9468\n16301 19819\n1007 16053\n6514 16711\n8033 14988\n19328 19577\n3345 12859\n6045 17175\n43 6969\n3221 16952\n143 14195\n13752 16121\n1413 13438\n794 6643\n8390 9389\n1983 3472\n1573 17196\n15157 17281\n7259 7646\n18893 19228\n2950 9854\n2721 16643\n3921 18306\n14101 17291\n11219 18489\n1879 9982\n4078 17706\n6228 7779\n10358 20101\n1783 3808\n1410 8833\n7847 12286\n13684 17142\n760 6401\n1956 7122\n5608 19694\n15225 15882\n2051 5093\n6340 13935\n4065 16315\n15696 16620\n580 19017\n6320 16762\n18027 19887\n8312 15602\n14251 14459\n5317 13326\n5294 13751\n1813 9306\n7704 14377\n10501 11488\n10964 19488\n7468 16114\n7534 12024\n4470 16925\n5838 15700\n11308 13748\n1832 16925\n533 20236\n972 17406\n8228 16920\n15465 19937\n8092 12876\n3610 8544\n8415 8970\n15862 16125\n7105 19856\n10597 16319\n5908 6654\n3287 17490\n11371 15229\n3722 10713\n18216 18847\n2399 10011\n5392 11074\n5922 11968\n10347 13831\n868 1208\n551 11976\n3157 8032\n1331 1356\n555 1687\n19119 20049\n3799 16055\n8520 8862\n5595 19964\n5066 15589\n11081 15209\n8333 11351\n6411 9109\n6653 18663\n7223 17177\n42 8916\n1692 11612\n13972 19471\n2432 9582\n9670 15092\n6045 20035\n5535 8599\n8411 16902\n3245 13262\n13718 16896\n2924 16841\n9682 17076\n1525 11464\n9824 10205\n11160 17553\n6482 9092\n10485 18874\n6005 11212\n5286 16650\n1946 13253\n11993 17292\n1118 9278\n222 19059\n2692 19772\n9949 12064\n15917 16238\n9935 17997\n1268 18900\n7269 10086\n1364 2222\n18964 20224\n10559 18131\n3135 9912\n662 7420\n9307 12876\n3384 11810\n13054 14221\n2364 13471\n2235 4069\n7885 16041\n5642 15119\n11108 13447\n322 10481\n1192 14703\n987 20053\n16008 18428\n1117 3451\n12141 14225\n4374 13322\n15722 16315\n2927 7561\n7429 20094\n4536 4723\n1935 12699\n3117 9782\n6862 15804\n75 9123\n12411 16661\n2788 12791\n1366 17575\n1373 15778\n7057 17943\n633 906\n6914 9382\n3284 9862\n1349 18807\n15122 18022\n6201 6420\n1057 18090\n1003 7008\n7017 12368\n1792 11803\n7893 9675\n7389 19233\n363 18409\n3748 3786\n12899 17856\n10455 12013\n15466 17342\n7819 20107\n2795 4309\n6169 12110\n6853 11170\n1468 3458\n7992 14412\n1177 20017\n745 1312\n7069 12210\n3527 20260\n1232 9039\n7913 19618\n5717 6962\n14705 15861\n4071 13091\n11700 19815\n14 14944\n1901 10155\n3133 8752\n4163 13743\n568 9672\n7512 20030\n7261 15142\n398 1882\n2307 7691\n19224 20216\n14143 16750\n11504 13611\n8811 15687\n14781 16923\n4157 10638\n11128 15360\n352 13848\n5130 15847\n5857 7786\n6248 13024\n10032 13741\n10 17535\n9411 14655\n13475 14400\n236 5230\n5977 14315\n8540 18327\n2064 11324\n6581 17953\n3336 6288\n10140 15049\n13279 17286\n9323 9655\n1752 6614\n692 16640\n9299 11532\n17328 18887\n9122 12678\n1455 11016\n5647 5734\n766 6357\n5897 11457\n10199 15314\n1184 10023\n6534 9524\n6006 12127\n10110 16353\n10196 19365\n10409 17108\n10650 18829\n6558 17998\n1438 18616\n4509 15419\n7695 18179\n2835 12505\n2640 15829\n19173 20204\n16287 18730\n16396 17712\n3595 19241\n15164 16206\n3920 6945\n1568 17063\n1613 3835\n9837 17874\n9782 20262\n2949 4249\n382 3125\n17541 18203\n10679 16797\n2409 19814\n8421 19305\n4144 19351\n11958 18895\n6967 18337\n17171 20126\n8371 16973\n13446 18060\n1975 12400\n2639 18430\n12766 16049\n6501 15070\n2591 7550\n1101 7453\n12804 13307\n8674 15204\n9004 9845\n1967 15266\n4279 9672\n4071 10599\n11723 15873\n14113 14689\n15407 17669\n1000 3150\n11372 17171\n12617 14703\n7247 14878\n6395 7601\n14315 17970\n12425 19807\n16209 19253\n7335 12099\n12475 12826\n2377 18428\n5406 18645\n2553 13578\n13746 19538\n9961 20279\n903 1188\n5128 7966\n7571 14039\n7267 9608\n7412 8142\n1273 17838\n5455 9793\n6229 14042\n14352 18997\n7023 12726\n12490 19360\n4123 8619\n13363 18144\n1057 10528\n7329 11125\n13082 18091\n2609 17556\n16539 17353\n5751 10247\n5008 14535\n4091 18621\n841 17465\n2771 11291\n15463 16738\n3194 13820\n8404 12073\n5850 13212\n8446 17979\n2385 11622\n1841 5254\n12474 18543\n15897 19160\n10968 14984\n2487 5459\n7406 12776\n12688 17569\n3855 7957\n5985 12504\n1956 2388\n1630 17306\n1169 2917\n14304 16642\n2014 8823\n9285 9679\n7659 18319\n16851 19181\n5380 11487\n1012 10353\n3067 14886\n13597 19695\n13305 17830\n13082 19096\n45 17516\n10999 11766\n1854 5676\n13982 16858\n11154 18218\n8123 14873\n10756 16158\n2090 16448\n9746 11226\n9070 15130\n6065 11717\n7209 11169\n1993 6528\n2521 5302\n5277 12989\n10850 15719\n8747 14218\n13487 18204\n4635 13456\n4531 15361\n256 17364\n8539 10197\n17599 20127\n3323 12861\n4923 11841\n6575 15214\n9371 14073\n10948 12820\n33 848\n14452 15113\n6951 19507\n7248 17946\n1395 13704\n1992 3171\n7772 19783\n2544 10269\n7806 19005\n8524 17643\n1505 3212\n274 2955\n2722 10985\n4944 8620\n5973 19509\n3800 12018\n1936 18613\n3633 9317\n1989 11357\n5076 5464\n819 7985\n8285 15279\n888 5178\n9395 13150\n10995 15929\n1599 15078\n861 17429\n1718 11469\n5385 17890\n16796 18594\n1873 16670\n4909 17900\n1979 14849\n7565 13128\n6837 16184\n8190 19333\n3517 9153\n6840 11472\n6673 16588\n1400 16631\n12017 18018\n1752 8791\n2493 3527\n4140 16130\n9160 14843\n3676 12216\n4125 9804\n2296 5345\n14454 19723\n13304 13367\n5874 12488\n8974 12715\n12154 15408\n2708 18886\n11182 18244\n178 1858\n2489 6101\n7 8272\n7998 16598\n2502 11413\n1241 17014\n10455 18064\n95 14184\n269 3744\n8797 19196\n4770 9008\n2987 10972\n3115 12116\n8676 12103\n9136 16434\n3457 17423\n5584 18761\n4597 14645\n5625 14888\n3081 20079\n1662 13810\n17038 20119\n13565 15911\n8891 15418\n6726 16328\n1023 11716\n6603 18051\n880 14839\n6182 13535\n9774 18290\n789 4810\n664 13808\n16287 18063\n7455 10164\n1845 15761\n14336 19318\n5939 13259\n13036 18236\n3482 19011\n4917 13080\n2235 12369\n7695 12088\n16561 18481\n11741 18453\n1708 9635\n13101 17694\n10696 11471\n904 15564\n6470 17027\n9933 10843\n7456 17227\n9985 17360\n10562 17890\n1127 13687\n4818 19752\n8535 16723\n12773 16804\n2719 8575\n1921 19527\n1023 10696\n10290 15744\n2107 12973\n5626 15776\n18942 19690\n9474 10642\n4000 9774\n14881 16215\n561 12627\n17689 18897\n1250 13582\n10014 17544\n6071 15191\n1403 17398\n2498 16600\n3605 7232\n16521 17228\n19233 19343\n7739 10323\n6629 14071\n4559 5108\n9446 12333\n3212 16961\n219 6789\n11434 14497\n2768 10219\n8219 20260\n4669 13533\n17353 18835\n6949 15588\n8531 10117\n6969 14557\n5163 19691\n5846 19336\n6967 11984\n7760 9095\n7160 10853\n1300 5274\n2852 12609\n11606 17056\n2014 15561\n6291 12492\n464 8321\n12216 13972\n4117 5254\n4030 12087\n3636 5289\n3291 16739\n8777 8890\n2751 12625\n1051 6182\n9541 16391\n6516 16192\n2234 7898\n14894 16047\n6891 20086\n3144 18063\n16914 20068\n12367 16426\n8641 8862\n6938 16820\n378 12119\n5749 6397\n788 1131\n846 9130\n5576 8951\n1987 13945\n4690 17925\n3261 9671\n734 18481\n8980 19605\n1502 15263\n18432 18915\n16105 16461\n15074 18420\n17415 18874\n5730 9998\n3803 14079\n5737 17713\n4817 8070\n14693 19226\n11038 11108\n7870 18961\n501 18393\n11875 19765\n10779 11645\n13788 15817\n7086 16037\n353 16589\n14858 16414\n11050 19278\n18723 18965\n11661 14121\n5509 14059\n4404 9280\n7939 12406\n9461 11475\n6043 17651\n5640 14637\n4780 12208\n8457 9717\n11681 13759\n6828 7392\n13914 19623\n2108 4482\n13500 15383\n15954 18154\n9136 13322\n8685 9012\n10786 12930\n873 4322\n8018 15204\n4952 5910\n2768 5834\n2128 14374\n5393 17935\n850 8318\n1081 1159\n9168 17319\n7084 7919\n3928 9517\n10679 13631\n66 18337\n4478 12831\n18409 20050\n11075 13880\n15080 16844\n5608 15340\n12427 12826\n5685 8410\n6319 9109\n2661 5100\n5526 10337\n1366 2101\n5741 15806\n5945 8240\n7173 11154\n1191 6153\n4109 15668\n2333 9077\n10087 15605\n1816 17988\n9330 14926\n4010 16040\n8202 17386\n1857 12729\n5056 15961\n18 4724\n5360 12889\n5831 12249\n12159 18480\n13242 17410\n14096 17314\n1286 17964\n8159 8379\n547 11429\n11283 19073\n2661 14637\n1888 13809\n1272 3898\n12384 14378\n358 4975\n3331 14997\n1964 7291\n12591 16683\n18025 18985\n1223 12303\n6154 16846\n17645 20148\n1375 6486\n9812 11296\n1738 15102\n6202 12541\n12739 18330\n14681 15541\n8141 19865\n4003 4342\n13529 18334\n14274 18231\n3116 14988\n3947 9074\n5832 9134\n2994 12768\n16614 20020\n10584 10792\n8930 17116\n16904 17964\n3860 14931\n14058 18197\n2442 6983\n9180 10716\n4638 9915\n10733 11483\n665 5698\n7998 12793\n12631 18517\n8377 9062\n8377 13632\n1474 11613\n9628 10927\n238 9678\n998 12977\n9031 14141\n2796 16163\n11273 12232\n65 11650\n7484 17140\n6941 10530\n3447 20003\n12996 16299\n924 3769\n2153 13638\n7931 16306\n2574 20207\n5581 14750\n7615 18440\n12199 14045\n4755 13087\n17129 20030\n16174 19096\n2601 6094\n4149 13162\n2493 4826\n8556 13153\n10279 19170\n9908 10382\n17566 17916\n5881 16545\n12714 19637\n8263 16116\n4741 16825\n4736 5837\n1257 2936\n3531 5414\n12991 18014\n11777 19386\n4348 16274\n4785 17905\n987 9271\n3473 17977\n11710 18616\n12372 19506\n6498 20131\n17054 18379\n11889 12923\n8869 13431\n5108 19270\n10509 11466\n1681 17398\n8666 19207\n10420 13405\n13633 15174\n7142 17140\n12648 14668\n1660 4078\n5197 8240\n9829 13592\n3478 11965\n12611 15362\n4767 13571\n16758 19638\n9958 10757\n12608 19584\n5919 14192\n220 3425\n1558 11057\n3292 10980\n6583 14580\n12913 16575\n16435 18717\n2950 14957\n13545 13947\n8217 8813\n2757 15740\n6922 11454\n7460 19896\n2369 18387\n2229 3296\n2359 12585\n1947 5641\n8845 13797\n3742 12608\n2043 8060\n7062 14729\n15872 16071\n12116 16616\n10155 19909\n10821 16422\n5324 7563\n9023 13244\n1762 2975\n17089 19081\n12614 16741\n4743 4978\n799 3736\n2820 3543\n173 8667\n3702 16388\n6055 9284\n6002 13990\n15218 16806\n16610 17049\n3679 8002\n4264 14821\n7557 19636\n2155 3783\n5963 13220\n3118 9278\n14556 17656\n1083 3034\n1307 10627\n4722 5461\n1468 8933\n5646 16559\n12308 19210\n13668 17282\n382 13761\n2859 4883\n11536 13253\n6754 9495\n7115 16342\n12202 16036\n643 6711\n18185 18324\n6965 7019\n10890 11074\n10150 13202\n6705 13788\n7545 13343\n8640 8738\n1097 3785\n2915 11904\n3872 8955\n15658 16287\n10938 12586\n1358 5288\n9312 14872\n9673 14382\n17364 17997\n3860 4190\n5162 17030\n11920 12926\n6320 13308\n3729 10197\n6040 17754\n4087 9755\n8176 16738\n3952 8613\n3705 6466\n3081 16502\n17018 18673\n5555 16036\n15005 18426\n9234 16367\n7236 19271\n6406 20057\n3186 16791\n7524 17777\n548 9060\n10507 11241\n10986 13903\n2241 13345\n4619 5963\n11818 17378\n8814 15256\n8592 17631\n2506 11859\n4036 15011\n14287 17857\n6349 16171\n5014 12245\n17256 18323\n11195 20080\n17630 19173\n4344 8442\n3220 10692\n1788 2117\n11664 13128\n3293 19652\n8555 10876\n5069 16276\n5022 18381\n10486 12214\n5135 10395\n11470 14222\n4969 20074\n15984 19437\n16749 18651\n11695 13488\n6002 16013\n12161 15695\n6006 6414\n11705 18237\n9455 14017\n16405 16939\n5078 9578\n2279 15712\n8625 10627\n12644 19596\n9526 11308\n1784 11051\n13940 14024\n5154 17276\n4015 16907\n15428 18082\n486 11770\n1945 15565\n13142 18456\n11358 19450\n6113 13395\n12944 13511\n13315 19097\n12824 15882\n2624 18675\n8431 11512\n5324 7049\n6437 13039\n15127 17968\n6455 10737\n13567 14169\n6997 13455\n10814 17417\n3369 14653\n11143 14215\n1801 16811\n5646 6154\n7946 14660\n14325 18082\n16194 18419\n3145 7100\n3406 5821\n2108 6029\n10406 14008\n5128 5531\n16 16677\n15322 19501\n3522 17033\n5931 18529\n6833 15564\n3120 20205\n6487 11973\n15074 17906\n15594 17622\n1528 9184\n17103 19731\n6496 14430\n8504 15004\n5991 13536\n7291 10136\n5278 11247\n1696 11690\n7844 14471\n712 15458\n7287 10980\n14656 15489\n11186 13034\n8877 16519\n13325 17776\n78 6970\n1561 2594\n1437 9561\n9966 11405\n10001 18456\n6708 9896\n10918 15587\n4731 17797\n2602 9998\n14328 15832\n17113 18212\n4065 18751\n457 7691\n235 14354\n10666 20094\n14625 16733\n11140 14196\n1164 2681\n14907 19079\n420 3245\n357 5858\n3470 6721\n7071 16435\n7017 15631\n6867 13476\n11159 14142\n4620 11792\n1338 10006\n3047 4710\n16150 17797\n8892 14236\n5085 9222\n4955 13494\n1270 18291\n10247 19259\n9049 16772\n2540 13475\n13084 19445\n337 1977\n3944 7166\n7524 16231\n9834 19951\n1858 8893\n13431 15152\n16999 18453\n1684 16767\n1871 3052\n17399 19598\n7719 11923\n5483 15875\n1348 17315\n3876 18031\n10053 15428\n3421 16550\n8066 12844\n6547 9158\n4527 12192\n6054 12093\n1003 13535\n1007 10106\n357 10598\n116 14383\n4760 14021\n2699 3179\n8731 9533\n4267 13467\n1915 12657\n1520 7347\n8279 11388\n5849 18737\n17517 17893\n12817 13376\n7182 13144\n417 20087\n1596 10052\n549 4723\n846 2610\n4095 18308\n9566 19537\n6900 13263\n8849 13722\n6490 10270\n1950 8471\n1726 2306\n2105 5876\n662 10860\n3274 4612\n3998 16864\n5978 14796\n16614 18862\n6879 10680\n10296 18390\n2093 2817\n12505 17553\n1415 6896\n2453 11334\n13394 13965\n4116 8795\n12479 16798\n4576 13416\n14552 16256\n18632 19115\n1375 2506\n17669 17897\n717 11552\n6232 19102\n4421 4790\n26 19088\n14197 17321\n13140 16155\n4721 15429\n7810 11715\n2551 4709\n13586 18503\n11868 18221\n4476 18710\n18088 18199\n618 3913\n4473 4653\n9557 12964\n1138 5103\n6266 14583\n2070 15821\n4708 13660\n14053 19569\n634 7675\n1147 2599\n2094 5514\n8088 16123\n1547 6145\n3710 15857\n10219 18560\n6103 19859\n2979 9550\n5811 15289\n1781 2784\n7160 13161\n4472 14121\n2499 4036\n2251 14311\n9822 19028\n1223 15917\n12909 18275\n1041 15501\n2881 10102\n7111 7289\n1973 9943\n10637 13943\n10620 14067\n2760 7552\n8771 9459\n4696 5174\n8031 20252\n14999 18667\n14572 18285\n4920 15001\n2270 9675\n3284 13939\n9189 13102\n5416 17519\n5142 11647\n7897 18196\n3500 19111\n8400 16046\n11562 14497\n7123 9120\n13481 19063\n10564 13571\n3492 19729\n4786 17481\n12595 13418\n14989 18767\n13613 19170\n5900 9533\n10229 12821\n2561 13309\n8388 12504\n12218 20020\n15780 19982\n8974 12872\n14562 15074\n10298 10459\n3542 7252\n10515 12390\n2522 11073\n4296 14475\n5646 13190\n7606 19942\n5146 8268\n1101 4525\n2168 11029\n8148 12527\n3414 5978\n2297 8029\n4477 5696\n8269 15963\n5196 19582\n8890 9999\n8777 9251\n15547 16577\n12465 14194\n10688 17822\n15349 17204\n8663 9607\n6321 13023\n12200 15410\n1420 19133\n6600 8822\n4517 14461\n5896 8437\n6963 7729\n12079 14427\n1670 15431\n12280 19029\n14287 16038\n7583 10093\n1899 19364\n4717 16944\n3028 9923\n3883 13465\n2146 13594\n5213 12724\n9032 15488\n780 3616\n1932 7150\n4310 19657\n4453 11427\n2180 19403\n10027 18651\n2052 18652\n7552 18768\n6157 8536\n8482 8991\n4358 5046\n6629 15718\n3087 16058\n2687 5367\n19945 20041\n1626 17633\n7200 9838\n18775 20219\n183 4169\n7066 12811\n6887 13163\n102 489\n4800 18593\n1303 8520\n6949 13320\n1969 4062\n1820 5991\n14170 16101\n2729 3426\n13339 19315\n375 16401\n6412 15916\n9574 17115\n2734 8335\n1742 13625\n8838 19468\n16983 18507\n2527 17874\n2906 19813\n11434 14444\n1640 2660\n14216 17845\n18115 20174\n4258 15332\n10241 12490\n5227 19591\n10353 18007\n1636 2265\n1264 16554\n7147 10668\n5952 6268\n5295 9160\n19090 19878\n2376 3938\n535 16678\n1365 5909\n11100 19906\n997 5585\n14774 14920\n3651 14954\n3711 11556\n5993 18097\n10636 18927\n3315 4069\n3694 8964\n13718 14898\n7478 15232\n233 13529\n4098 15897\n1096 15755\n2392 8762\n2009 13820\n11079 19084\n1496 11299\n9927 15911\n17113 20089\n11406 16997\n16217 19932\n9031 10294\n5329 18662\n15810 17016\n10614 14650\n6018 13826\n11024 11094\n13870 20053\n10455 14186\n1598 3353\n4963 10695\n7016 10223\n15514 16411\n10444 11074\n12567 15973\n14028 18852\n10542 14230\n1192 16092\n3047 4996\n1542 11178\n3667 11397\n1056 16620\n2123 15004\n4570 9436\n16959 17689\n10116 11447\n5080 6364\n10049 10707\n285 17319\n9198 13321\n1016 3588\n2547 20238\n14463 16904\n12246 18673\n13849 17922\n5020 11618\n1512 15024\n6039 12720\n9090 12515\n637 16526\n7014 16554\n4018 9313\n6996 19910\n2064 16945\n11553 15737\n5309 18541\n5679 19539\n131 5827\n11493 14174\n390 9734\n9079 15369\n4719 7473\n830 19005\n11837 13915\n10351 10526\n13763 19295\n15113 18657\n7020 19696\n8984 11997\n3840 8493\n5270 15418\n313 18118\n6336 14956\n5614 15957\n17022 19819\n962 15284\n7048 11856\n9411 12972\n5268 20160\n7511 9111\n6448 15840\n8612 13891\n2278 15551\n6671 10439\n13001 15202\n718 2471\n6439 9054\n807 12306\n7713 17888\n7384 13971\n8047 11532\n11266 14344\n6379 15469\n15715 19866\n12916 19282\n8316 15943\n4603 8744\n2775 9991\n4813 11651\n6903 8587\n5588 19955\n9975 19403\n11751 15737\n1193 15133\n8242 16258\n9919 12632\n7011 18317\n14812 19883\n12686 18357\n13638 19408\n11256 15571\n5783 16339\n13334 13533\n470 19711\n7526 11921\n6652 18301\n8424 19865\n16159 20269\n11964 12628\n3463 6314\n12055 13444\n415 6232\n11467 11826\n4339 6341\n5987 20179\n12079 19570\n3251 5659\n4804 7645\n1088 7891\n9386 16501\n941 13359\n4453 15459\n754 11392\n18814 19852\n12744 15057\n3525 13349\n3313 18929\n7305 7725\n9370 11029\n13195 13988\n1177 17669\n935 2943\n13225 18787\n16789 18294\n10234 19425\n1036 10935\n5882 15588\n5684 8938\n7551 19014\n12536 18294\n1532 19389\n10517 10977\n8564 19369\n10308 15834\n9202 15975\n2278 18909\n3460 11554\n11722 18261\n5308 9579\n2988 3612\n15099 17443\n2670 3693\n4633 6130\n2963 3926\n232 16080\n11806 16673\n10391 14394\n2351 5038\n3284 12916\n4859 19014\n16689 18278\n10494 11018\n459 6143\n7825 11423\n879 17769\n12746 17732\n12541 17974\n4319 10136\n8629 9105\n3955 9064\n1281 19278\n3580 6717\n1623 7495\n17044 18109\n8725 16340\n7414 19021\n4673 9994\n12348 12502\n12351 14419\n2131 16541\n8112 18739\n1727 14821\n10216 16231\n13161 17744\n8639 16481\n2647 6262\n139 6929\n2318 12753\n6074 12606\n12003 18596\n8521 12553\n8025 11364\n6158 9423\n907 14179\n3303 18799\n4781 15232\n5173 19495\n2915 7435\n4908 10923\n8646 18761\n53 2458\n12149 16093\n3838 5121\n6599 15112\n10879 11065\n2046 10449\n9411 19900\n10125 16540\n1116 17401\n3308 7541\n6869 7537\n15247 17434\n11257 17525\n15519 16741\n4507 18705\n10622 18336\n2321 9681\n3354 15219\n7918 17803\n2374 15873\n3527 10902\n9548 10101\n129 7531\n14973 17066\n13171 17432\n10300 17194\n5183 16678\n6477 19363\n8190 9396\n2051 3738\n11253 19068\n8147 14541\n6382 17311\n8097 14810\n467 4923\n567 7962\n14771 19567\n1498 13819\n581 17805\n2537 17950\n5024 7011\n4141 10357\n9926 15960\n2867 17566\n6365 6561\n1548 11581\n5874 10761\n452 6578\n5216 9664\n14328 19258\n3270 6587\n17238 19537\n12085 16555\n2522 10035\n521 6890\n10412 15379\n1748 5950\n3070 3168\n11404 12017\n14516 19268\n1136 4357\n2979 17973\n3243 3607\n8233 8517\n10583 18916\n6256 16081\n10789 17954\n4926 4984\n10619 12815\n3588 5825\n7624 12831\n3686 15324\n3038 13094\n7334 11301\n8335 11364\n4957 7108\n11160 19667\n737 19982\n12223 18218\n15797 20255\n677 16727\n388 13659\n3131 14095\n11825 13718\n7843 17165\n455 20222\n8154 17737\n10555 14402\n12473 13469\n12458 12717\n7456 9023\n3608 10910\n7384 13096\n11518 11706\n6504 18094\n13675 15662\n1363 11035\n7390 10248\n711 1618\n5547 12604\n10262 10716\n5523 5661\n49 7693\n7811 13490\n12418 14626\n4674 10092\n6572 12471\n2613 4945\n11952 12561\n9601 12920\n1291 15077\n12544 19362\n4419 10289\n12314 15457\n4134 6964\n7346 16427\n4077 16906\n11622 16527\n790 9752\n7746 10625\n16471 17914\n1920 7375\n5027 17130\n835 8580\n1149 20041\n2261 3923\n4992 17340\n8908 15543\n5426 20035\n1556 2604\n12413 13154\n7948 19965\n17114 18182\n14211 18550\n8690 10370\n3750 15047\n10524 18150\n3081 16936\n6348 16954\n1263 6845\n6286 10858\n9195 17234\n7114 19494\n9862 10262\n1209 11297\n2833 15273\n14091 18323\n116 3277\n5213 10806\n9867 14857\n14535 19322\n8427 14355\n9960 18285\n3150 15224\n2496 5078\n1735 14058\n7414 13690\n6860 20205\n3929 11382\n1296 18276\n8312 8588\n8655 9969\n7579 14677\n3191 9670\n10426 18001\n5017 17559\n16259 19309\n8534 9005\n2329 3308\n4150 13436\n9749 14979\n327 19577\n5390 19843\n3067 18806\n4355 10660\n18235 20270\n5402 18864\n12262 12555\n4019 9495\n14629 16055\n2841 8105\n18123 18656\n837 19949\n13974 14079\n4578 10175\n8638 16854\n2074 11658\n9477 16470\n4986 15625\n6850 9449\n15271 18787\n1581 16213\n15017 15638\n910 3400\n8814 13307\n5979 15216\n417 13306\n3014 11627\n1620 15752\n1247 5260\n7334 11986\n11012 19058\n5103 14610\n8035 18285\n9436 13224\n2727 16693\n9531 18082\n15177 19806\n5944 7984\n10559 19372\n6736 10018\n1005 6938\n2603 13930\n3099 17829\n5475 6515\n2160 3654\n1509 14643\n9520 13734\n1157 6467\n11505 17585\n6097 12985\n3675 13619\n1274 5676\n1096 1661\n12061 13427\n17916 20022\n1599 2209\n8187 12304\n8218 19637\n8066 14750\n2214 4591\n15552 17961\n6187 10125\n10735 14729\n9719 11247\n8511 19997\n15720 16152\n14760 18079\n907 15119\n5875 20010\n3480 13204\n9696 14072\n1990 14197\n757 9301\n18157 18445\n5437 8436\n11502 16214\n7144 15011\n4403 8550\n9646 16550\n3670 19031\n11332 11661\n17686 18895\n439 8100\n2966 13484\n7046 11999\n7030 13949\n2381 16580\n9866 19591\n9653 17257\n9525 14067\n12926 16029\n2163 3456\n1591 3987\n5894 16842\n445 9758\n8488 10068\n10759 14101\n5825 19209\n12884 15902\n9788 18889\n5972 11013\n7053 19041\n16795 17432\n3497 17391\n16318 20132\n11047 16392\n3279 11488\n8419 9869\n3878 4182\n824 19497\n11590 15616\n16186 19612\n2935 10985\n3295 7278\n6065 13101\n2936 4755\n9775 15367\n1240 2220\n2483 3210\n584 6194\n6347 11287\n11436 13968\n6043 9404\n3085 14547\n15840 18900\n4833 10693\n8507 15090\n2581 8198\n11355 20254\n1036 6813\n3308 10544\n12979 18362\n7894 8911\n3375 12579\n8655 14890\n604 7584\n8327 8924\n14138 17370\n5354 16598\n4692 6296\n679 15170\n8819 19888\n672 7987\n2512 5975\n13363 16212\n12308 19152\n7811 9340\n3069 5960\n12080 19853\n18023 19426\n7391 10295\n8806 18299\n6487 15541\n16695 17755\n15145 16497\n2634 8316\n2689 9196\n4427 19979\n10066 20115\n6327 18747\n13136 15972\n5391 12381\n14244 16638\n7475 8047\n1994 2031\n4139 10746\n9586 14192\n1715 15095\n5018 19313\n3351 12754\n5855 18784\n12875 15401\n1601 10104\n11038 18159\n4675 7055\n15933 19037\n14506 19884\n4107 4378\n11106 19974\n4982 7792\n2164 18252\n7152 8492\n10444 15810\n12895 18798\n5964 19423\n2782 15133\n8219 15017\n7339 10203\n5967 6170\n7560 8931\n2715 18408\n6942 13579\n4364 16567\n998 5043\n8588 20107\n14640 19483\n1134 12797\n8883 11852\n12207 13375\n1669 11150\n2357 6828\n13968 20156\n2834 9085\n742 18743\n13504 18770\n6883 7727\n10334 17162\n1226 11922\n8950 10593\n3698 11552\n10510 16527\n1361 6693\n3235 11496\n8616 15507\n1917 8059\n4897 9423\n15665 16119\n19601 19899\n16742 18376\n556 11706\n2404 3219\n454 750\n5271 6338\n10810 18233\n7190 9912\n5524 15354\n2197 2906\n10882 15963\n7980 10759\n636 5949\n1165 19274\n2925 3544\n4485 16459\n9219 17307\n15670 17195\n539 17089\n14098 19230\n3978 7979\n5274 16088\n10812 20143\n5066 15825\n5499 11371\n6340 9444\n2142 13813\n5988 7400\n3529 19883\n18295 19960\n2965 4451\n14858 19010\n3274 7581\n249 6357\n4598 20047\n6297 19826\n5164 9753\n11098 14268\n14540 19635\n786 15360\n8916 19708\n6694 17342\n1679 9353\n8258 15209\n22 1843\n4371 8382\n7883 19175\n700 2262\n15178 16511\n1144 14642\n13836 17813\n2557 16191\n8817 12592\n755 16628\n5223 19490\n14623 19817\n2394 7850\n4649 16060\n11810 12374\n15501 16535\n11170 14407\n568 13408\n5144 9970\n2878 3001\n905 11739\n524 3480\n6610 12139\n14368 15081\n4214 14756\n489 3592\n13227 17854\n2058 16978\n818 9959\n18633 19189\n4965 15881\n8310 18441\n1684 11945\n7462 10816\n10152 13284\n10923 14363\n5926 11264\n1319 12290\n10714 14764\n3058 12398\n9041 19673\n5698 11621\n13867 18394\n11151 17265\n10945 13343\n9759 18898\n16130 17935\n4750 6505\n12668 16862\n13895 17864\n2468 19112\n10607 11813\n1953 9114\n9653 11876\n4344 5641\n2768 18975\n4963 7681\n12452 14870\n16706 17857\n6807 6817\n4319 12738\n6917 7376\n12743 18251\n396 10214\n872 6056\n12996 16503\n2699 4630\n4209 13139\n5003 20103\n10104 14208\n10797 12419\n7843 9922\n4539 17446\n4831 17687\n2923 11991\n1800 18411\n15791 16005\n13014 17135\n1607 16063\n14652 16300\n18765 18838\n167 7845\n5636 13745\n2421 15158\n10089 10560\n3079 16139\n2755 11107\n8312 18188\n1091 13355\n7334 14637\n16465 18720\n10066 13985\n11500 15395\n3201 16191\n3079 13885\n14813 19864\n2369 8881\n13727 19060\n336 7305\n17941 18217\n14717 18551\n4807 18793\n15207 17928\n9932 15985\n3548 3942\n4650 10006\n9587 18432\n1189 15404\n2329 11867\n5604 17568\n8180 11416\n10694 20009\n16908 18379\n11465 18191\n9586 18248\n2293 11970\n5434 10008\n7888 18248\n3815 15938\n6860 13878\n4955 8562\n7996 9304\n8654 11505\n6864 10203\n98 6795\n6175 15877\n1108 9122\n7110 12391\n2943 4283\n536 5931\n4968 8928\n8736 12809\n5234 17998\n638 9408\n7343 12666\n4254 11335\n4788 8548\n1556 12293\n13548 13666\n6651 15168\n7057 8545\n3162 13101\n8267 19773\n5712 14280\n5246 16546\n2986 16064\n4875 6343\n12115 14364\n10329 10537\n1716 15249\n4968 6986\n434 10609\n10897 13883\n4564 6976\n5598 12509\n1070 6425\n8524 14008\n2241 15794\n1322 6791\n5433 15627\n15775 18709\n12938 14003\n10117 12549\n4115 9501\n454 3020\n6167 14546\n7324 13837\n13522 14920\n5955 8959\n910 5921\n4164 5297\n3838 6763\n3426 3588\n299 17196\n4044 11618\n3612 15020\n3719 19308\n8423 16111\n12550 16359\n1433 2397\n7908 10406\n8692 19543\n7389 16372\n4897 8366\n12826 17159\n15798 17059\n1656 16365\n849 9705\n6904 12263\n7983 11764\n2690 13573\n378 6571\n5908 13749\n6937 14795\n11157 19388\n1176 18843\n5058 16105\n15348 15908\n1998 15648\n9399 11515\n4665 7892\n791 19594\n774 11004\n14538 16659\n15819 19985\n16566 18411\n10361 11238\n522 9068\n5292 15987\n10120 13592\n1366 16925\n12689 15695\n6384 6984\n10665 12324\n27 1059\n4761 9746\n1794 16854\n3506 19641\n6370 10840\n18056 19465\n12607 16931\n9529 10614\n14128 15898\n16101 18552\n6260 13685\n4433 15914\n10497 18586\n2501 10860\n15497 15916\n7278 12212\n6110 6619\n12612 18042\n8457 17079\n11707 12994\n6362 13617\n9436 17152\n15709 19869\n8099 15959\n1791 8920\n5176 15490\n592 20185\n10280 17938\n405 11594\n5292 15813\n4178 20129\n7669 11785\n2058 20251\n12206 12420\n17113 17644\n987 15195\n3797 7118\n611 16435\n2202 17271\n3325 14542\n3376 18089\n8814 11898\n11295 14150\n2240 12204\n11273 19546\n5678 17496\n10078 11581\n7596 11991\n1839 14931\n17371 18385\n4426 19384\n625 11027\n13457 17165\n6435 15836\n7573 18337\n7149 8230\n175 436\n6377 12990\n12413 14980\n3422 11495\n3346 18056\n2580 7021\n2348 4801\n4483 19003\n2006 9558\n1389 9962\n3708 13064\n5173 18072\n4323 19435\n16902 19005\n9088 16152\n3581 15686\n11156 13345\n246 8203\n1145 9991\n3042 7232\n8784 16604\n6755 15167\n1862 5087\n4490 6165\n11599 16893\n16743 20184\n9704 10678\n14458 14761\n17791 19538\n4903 7488\n1509 3218\n6353 7074\n1360 8138\n13561 17866\n3390 11485\n4113 10388\n10792 19425\n5497 10684\n689 19368\n9312 17517\n1702 9443\n11663 17737\n2711 8854\n8699 15144\n4547 19522\n4281 15054\n14380 15962\n5159 18658\n7574 10934\n5447 9786\n8649 9924\n1120 19874\n3765 4458\n5552 12936\n6011 13846\n6342 7317\n3186 9858\n5499 6676\n12487 20099\n9361 9928\n9730 16975\n3837 19452\n7309 13633\n3723 20079\n1382 2021\n11364 20288\n5415 10040\n7281 17894\n1343 14352\n7888 13771\n375 10625\n13179 17593\n6088 6634\n5991 16161\n11253 14815\n19113 19516\n7528 10767\n10354 11456\n14313 18477\n8411 19358\n15597 16290\n6433 18148\n15221 18386\n4252 13415\n11053 16655\n15964 17154\n3625 12762\n2700 13264\n10052 11369\n1946 17178\n6131 11076\n5580 18450\n12000 17882\n40 1903\n5352 12927\n3560 5016\n9821 18051\n5480 16440\n1224 5016\n2106 7136\n10218 15253\n1642 3293\n4369 18062\n11559 20102\n7521 14672\n12551 16143\n12336 18336\n1339 1884\n3568 16025\n4293 5400\n1269 16147\n12418 12671\n7570 15981\n12335 16174\n2116 18443\n4331 17047\n14892 17048\n675 17154\n5997 12893\n18545 18907\n7653 20141\n8205 10945\n4152 17670\n1644 6167\n16212 19368\n7829 14328\n9822 17697\n4706 14633\n7832 8431\n10778 11256\n8226 16223\n11379 18623\n5653 9034\n4625 11581\n4193 9920\n9651 9723\n3410 12852\n7887 11787\n9282 17065\n3328 5892\n10809 18117\n7444 16178\n2065 6691\n15348 19310\n11329 13319\n10473 11513\n15859 18321\n3133 11194\n1353 8979\n6467 6750\n14227 18080\n8533 19942\n739 17785\n4178 8415\n1683 15400\n6971 8623\n2627 14435\n14703 14832\n7231 16004\n6855 14763\n8408 12038\n2230 12380\n12553 16693\n14705 20029\n10830 15018\n5659 11638\n7116 19987\n1384 4473\n3978 18812\n11035 12435\n2553 18520\n9190 19340\n15210 15932\n13563 17003\n7935 10961\n329 17529\n1829 7327\n3054 3436\n13394 18953\n510 15245\n12472 17881\n6358 13206\n9799 16980\n6041 20188\n9381 15483\n6757 19081\n2681 4499\n13895 20045\n701 16855\n10768 20123\n533 13031\n11077 16043\n18590 19083\n7738 9615\n5875 20210\n2969 3600\n6108 16478\n1818 19747\n12490 13176\n7250 14545\n854 10590\n8520 11512\n6765 14792\n4090 5418\n2610 7119\n3277 14423\n2182 6823\n9889 17654\n3602 10913\n10349 12395\n8376 14708\n16613 18169\n8580 9839\n12322 18116\n840 17678\n7102 18267\n9750 17924\n15954 19493\n10396 18385\n11087 14075\n1266 13775\n15562 16021\n2434 10382\n925 8399\n4558 7895\n3406 15342\n3416 11727\n4627 17010\n5186 19882\n2859 11885\n3165 12655\n6816 14353\n14557 19603\n4750 10226\n6620 16830\n782 18170\n13477 19093\n399 4464\n2625 19571\n9193 18340\n8508 8820\n16447 16520\n7865 16752\n17255 19195\n440 19971\n5807 17526\n5884 13669\n8451 14184\n13480 14682\n2436 6280\n12956 16998\n5490 9100\n3604 15327\n9854 18638\n5778 14384\n4767 15179\n13110 15834\n2826 16330\n12082 12483\n7513 19032\n932 13409\n7001 13566\n6392 12585\n9357 12544\n4570 15144\n13332 19516\n7062 12773\n557 6593\n6510 18872\n12974 15854\n17894 19603\n13682 17324\n5401 6446\n3016 14158\n10644 19198\n17556 18496\n2130 14587\n16680 19957\n8380 15874\n5226 8863\n3543 10156\n1206 6920\n2900 11301\n5408 5558\n634 2861\n9988 19616\n16421 18856\n10215 10406\n6811 19861\n5101 11743\n16132 16873\n14506 18376\n369 11884\n7440 18889\n11301 15523\n3610 9950\n12653 18837\n1293 19242\n16670 17061\n309 14918\n12611 18025\n8358 18773\n2181 3059\n442 2747\n4200 11728\n4491 5355\n4246 12523\n7827 11406\n15829 19037\n14486 18001\n733 17140\n5207 6831\n16046 17763\n1478 3919\n14562 19964\n251 8872\n9130 17346\n6992 9862\n15426 15598\n809 18322\n7880 16498\n3304 5141\n216 18637\n8923 11927\n2575 2764\n7693 10259\n8316 13761\n18083 19175\n1389 5449\n1070 20026\n8175 14568\n899 4373\n6887 9994\n4925 13915\n1584 14340\n11280 18437\n5368 7030\n1480 4270\n7819 12349\n4219 6311\n18627 19031\n134 17580\n2215 8110\n1549 4356\n6485 18221\n2949 17819\n8207 9549\n7286 9286\n6087 19729\n9734 16270\n4337 16668\n7088 7993\n2942 13977\n9904 12138\n10945 16197\n2253 14997\n1606 15654\n38 16413\n11673 19857\n806 6107\n16912 19382\n1499 14014\n5114 12758\n209 3118\n7379 16018\n11677 19689\n993 10791\n9949 18924\n10564 11013\n14529 16276\n16513 19386\n6786 16173\n2385 16030\n6527 13263\n7787 13957\n4691 19950\n9180 16115\n7182 9783\n1176 18344\n9801 16886\n6449 8563\n2295 17845\n5760 7949\n8004 9462\n1320 15759\n9244 15134\n546 7864\n3365 4045\n10663 13578\n13063 19962\n2150 15331\n2 7134\n11393 15369\n2372 10537\n3122 15144\n1489 15666\n1435 14133\n4462 18782\n15912 18407\n4452 18254\n1640 15197\n13857 19623\n3280 10826\n18486 19821\n7163 17899\n6865 12049\n5857 15788\n5396 10477\n13871 16790\n5173 8631\n14187 17828\n18431 19449\n2910 15516\n12339 17691\n405 17311\n6412 17906\n2810 11820\n3993 16591\n6095 16810\n6875 18810\n13232 13987\n5184 15593\n19022 19273\n14819 15911\n6509 8440\n3919 4696\n5194 15429\n9110 17898\n11004 12935\n8601 16381\n8735 9774\n5393 19449\n11000 17719\n359 17493\n444 9925\n8745 12235\n5815 14722\n8634 18284\n10711 16075\n14208 15435\n4610 17296\n14858 15683\n1558 20147\n591 5727\n941 8477\n372 14608\n142 14748\n4091 11840\n13300 15454\n7314 18586\n2893 10420\n2089 12925\n6376 12482\n13733 18075\n2041 12052\n3555 5745\n334 16732\n4497 20267\n234 15100\n537 4513\n1216 15468\n12810 19067\n802 6753\n4686 5381\n8809 12360\n174 7420\n14849 15708\n317 4382\n3235 19402\n10873 13612\n2973 14584\n11481 17095\n10711 17653\n7243 15080\n14646 17233\n1174 16467\n11144 15884\n4942 6144\n909 9362\n14249 18806\n1077 11832\n4049 18683\n13515 14920\n8126 14739\n4784 19895\n4835 8644\n4386 18044\n11123 14132\n4515 15717\n10487 13491\n13809 15858\n2595 17435\n4252 16328\n4944 17484\n3407 4162\n459 9286\n7322 8833\n12559 13224\n13912 15045\n1198 6754\n5141 15331\n1504 5425\n18054 19216\n9341 16121\n6800 15656\n7384 18017\n1011 8627\n865 14147\n268 7117\n9349 20236\n4290 6132\n8375 13588\n9079 14855\n1785 6039\n1343 8594\n17745 19844\n4368 17703\n3199 9081\n9613 17546\n3299 7072\n6715 17890\n1739 10940\n15002 15529\n2013 19547\n1977 4475\n2250 7991\n1483 2157\n2346 7357\n11421 13243\n12738 16330\n17603 19360\n50 12944\n3873 11479\n7590 14479\n994 19070\n8232 17145\n12781 20166\n14016 17695\n1175 12733\n6370 8271\n850 18948\n5 14750\n9455 12725\n6964 14516\n6774 8900\n4144 4811\n7399 15792\n11892 17090\n15570 19042\n4892 19869\n2397 7304\n5003 19064\n11907 12537\n5358 7410\n1784 8302\n284 12821\n2996 14024\n10968 13092\n13042 14407\n5896 9148\n8293 16226\n3918 15206\n9750 12632\n446 18832\n10514 17365\n2401 20034\n11937 19835\n1258 17936\n15446 15637\n4720 5915\n1902 15186\n16027 19119\n11493 12409\n5992 11350\n17386 17804\n8492 14210\n4525 15202\n7762 14168\n720 6113\n5887 19079\n710 12310\n17293 17688\n14439 17742\n15609 17313\n3292 19355\n5491 15683\n5423 18726\n3697 19768\n4926 17089\n17411 19506\n509 1623\n3770 5255\n298 17917\n2841 3442\n2620 6810\n1830 4169\n10040 12383\n13145 15692\n9275 18563\n10649 19267\n5410 13228\n7466 17049\n4851 12326\n9840 12058\n2019 18437\n17888 20129\n19589 20206\n16590 19590\n1101 10511\n6241 11822\n3060 18838\n2927 7120\n2616 13318\n2725 7766\n3644 17278\n248 13556\n3226 7095\n1354 11442\n6023 13069\n13584 15875\n7256 13609\n10741 15996\n1300 7177\n4084 6542\n13062 15554\n696 8510\n6575 9419\n10123 14264\n4971 11600\n1473 7356\n6201 19747\n218 7242\n6229 14401\n10206 17701\n7924 12691\n5675 17232\n1929 14516\n2230 6119\n1462 10978\n6717 19269\n3272 3430\n2418 3240\n1851 7131\n77 9384\n5984 6936\n5356 17059\n6936 15006\n8310 8593\n1394 8164\n4278 16288\n8955 20249\n12719 14622\n3446 17423\n2988 7900\n3599 18008\n10559 20102\n4937 7650\n6892 17406\n3609 19001\n13271 20213\n3849 9756\n19723 19893\n5772 16651\n6565 19116\n10334 16937\n4289 13246\n15556 18088\n11830 13486\n368 1417\n7466 15184\n10878 14655\n8387 9977\n2666 15289\n1609 8086\n18196 18256\n4510 9186\n5233 8675\n6657 11742\n7242 12151\n2221 3085\n3254 9347\n3945 16866\n1105 8256\n4698 6220\n16661 20146\n11955 19226\n985 18752\n10144 15805\n10300 16489\n9624 13016\n15813 16976\n4003 17879\n9258 15803\n5065 10573\n10972 19104\n7371 11768\n10912 19320\n12186 13885\n5151 7268\n12367 20236\n14040 20127\n1486 10839\n6818 19671\n404 3777\n4731 7460\n1337 17621\n390 4656\n10389 16505\n5186 5429\n6358 17552\n11605 16533\n1520 7380\n1713 16871\n2106 12339\n135 11285\n14169 14437\n9593 10909\n5958 6905\n29 12492\n3214 11531\n15725 16177\n215 7056\n9167 10530\n9478 14460\n593 2168\n3325 15065\n494 8162\n14702 15045\n3273 20284\n13377 17031\n7456 17233\n8550 10091\n1493 16720\n16885 19660\n979 10843\n5038 14418\n737 14128\n5998 8620\n7989 12147\n5129 10098\n11912 12361\n1201 2764\n15041 19473\n4160 7327\n5699 18467\n3252 17437\n2992 11883\n2898 9870\n1201 20194\n6524 8339\n1421 13432\n2166 3514\n5491 5767\n6730 9229\n7527 8221\n4378 19645\n1918 5680\n6265 8988\n15840 18992\n1388 7947\n3892 13322\n9559 10141\n5294 14543\n6333 14500\n15130 16367\n7739 16073\n6282 8576\n930 20014\n1981 3248\n11162 13532\n14395 15637\n9691 12457\n2591 11351\n5036 6858\n1732 6093\n240 12680\n6049 13318\n10814 14475\n2247 12269\n2921 15336\n5738 16249\n889 10628\n4026 13412\n722 15664\n2870 10189\n9615 15199\n5942 14245\n12334 12340\n5063 12313\n8934 9407\n10714 14652\n1117 15309\n7594 17700\n7575 20278\n11961 16646\n11840 14639\n2907 15062\n15174 19093\n2939 17133\n14107 19522\n10165 12061\n7744 15129\n11421 15400\n3130 6363\n10930 17285\n10252 16030\n82 5115\n3506 15026\n2041 13493\n5458 5938\n5140 17796\n9728 13206\n1940 12515\n5350 14034\n10444 12933\n12323 16221\n7261 14736\n18242 18551\n14605 17131\n3382 19385\n5169 18539\n1415 3419\n7755 15249\n5588 13131\n12293 13410\n9045 19456\n4783 18935\n310 1861\n2824 8270\n11791 19439\n16383 18199\n16689 18309\n1839 7609\n2054 15648\n8053 10747\n14971 18443\n3256 7731\n11333 17301\n2905 8220\n8829 12059\n6282 15013\n11761 18079\n1381 13794\n153 20027\n6073 9500\n4897 10539\n4927 13563\n8784 15771\n1785 20176\n707 4003\n12918 18505\n11359 18044\n5864 14618\n3705 13529\n10067 11692\n2416 17233\n3084 10467\n2447 7963\n1701 14849\n4212 16153\n12483 14458\n7290 12698\n7679 11239\n13663 15540\n14452 19557\n4312 19930\n836 4538\n9752 17331\n1298 5833\n988 6509\n9851 18598\n3018 6746\n3070 15997\n1447 5699\n7553 9464\n4199 14080\n10279 19628\n14330 15481\n4873 5665\n13586 16769\n6201 6249\n1333 10074\n10724 11404\n9768 10096\n406 16214\n807 11838\n9399 19807\n7501 15037\n2130 3691\n9788 17756\n2083 19194\n3298 14121\n4363 7946\n126 14084\n8898 12360\n4516 11313\n13344 15260\n7325 17284\n3163 16996\n12158 12498\n1406 16382\n7089 13446\n7834 8376\n15067 15798\n7815 8217\n177 15526\n5682 7361\n2266 19018\n510 7475\n6246 11337\n10784 16390\n7906 18223\n16196 18085\n8410 17096\n10306 16654\n10205 20229\n13785 16815\n3872 7479\n15110 18345\n2305 7290\n326 6632\n9487 15395\n12217 13664\n8522 10271\n6294 19628\n3229 10625\n8068 20078\n3930 10491\n15327 17996\n11809 14593\n16061 17338\n6694 9515\n19338 20180\n15983 20065\n9826 19651\n16315 16645\n2245 4869\n15116 16309\n5436 16985\n7374 16524\n10760 16176\n5384 12584\n5045 13032\n3751 13190\n5689 17927\n13612 14813\n5724 12671\n7152 12824\n10451 19092\n1444 14775\n9191 16061\n12037 12857\n6940 19879\n3202 11334\n3446 9133\n5520 6554\n13073 18069\n2684 7263\n679 15956\n4677 14956\n201 4068\n459 15804\n774 4362\n4625 8793\n9970 14060\n8065 16094\n11159 17953\n2323 15605\n2584 4767\n10580 13430\n4100 9709\n8588 11081\n62 15465\n4334 12667\n5353 8007\n1937 19102\n12737 16036\n6793 14904\n17483 19334\n705 3975\n6536 8133\n6625 14805\n11227 13659\n10826 15298\n216 9681\n3315 12853\n1287 12583\n7422 11955\n1517 10747\n360 6165\n6778 20020\n6154 9225\n3654 15167\n14323 19933\n6626 16876\n8777 9744\n2301 18612\n10916 11053\n3543 5696\n1006 6968\n1810 18989\n11171 15840\n7681 8301\n3783 13344\n1863 11928\n7402 12137\n9458 10654\n4037 19293\n13373 20289\n9014 15989\n14001 17482\n3132 10262\n13278 18857\n1948 7291\n12474 17684\n9531 11774\n8253 10085\n2910 5939\n1058 7184\n2491 7998\n13729 14824\n9148 18958\n1336 19765\n12560 19213\n2349 19023\n1098 4181\n6997 20184\n2552 3237\n107 13291\n12236 16175\n4247 13432\n5690 16099\n11997 18991\n1859 18041\n4929 10244\n1683 15739\n10373 15945\n1979 10575\n9828 19801\n2729 3345\n1487 4380\n12002 18353\n4627 7694\n7665 19828\n15441 16280\n13328 14697\n1004 7420\n17043 19897\n6911 16881\n11495 15363\n6419 14619\n139 9966\n1587 2945\n10638 18569\n5241 12230\n13169 18762\n2117 9811\n9122 16211\n2020 9880\n17991 20177\n1340 9771\n9357 18772\n9600 13750\n5610 10241\n11901 19750\n8155 12549\n9058 17085\n7349 13099\n6247 10804\n70 11343\n4198 11657\n13413 15346\n18096 20000\n2105 16277\n1346 7255\n7275 14917\n12417 18312\n6117 16736\n7263 8394\n119 835\n1092 19231\n14349 15702\n2625 10896\n17 19122\n4575 10589\n15248 18905\n9686 11979\n2440 17561\n7279 13272\n15435 20233\n335 18066\n6154 18877\n9731 14789\n9513 17784\n493 4306\n882 8154\n6208 18976\n9957 14982\n366 17606\n3267 14789\n6180 10877\n1322 9994\n8228 9057\n979 16919\n5304 11275\n6916 13195\n7819 10630\n228 13442\n1310 11377\n1189 11547\n9645 10831\n4290 11335\n6585 13627\n600 10360\n2652 6756\n5402 15429\n3204 5681\n2318 10828\n3878 17389\n15708 16359\n3773 4634\n10524 12043\n2773 16993\n17400 17525\n4299 16626\n5496 8314\n17556 19339\n3285 8418\n17154 19112\n8778 19532\n5631 9104\n15489 15577\n3615 10327\n2539 7314\n2344 6858\n4702 19051\n9944 20039\n16787 19881\n17374 18574\n11060 14607\n2077 13897\n3443 7763\n9 15384\n607 17180\n4144 5962\n1738 9774\n2296 18033\n641 17732\n5504 15011\n3934 17365\n2051 14506\n10918 14606\n8428 12098\n8571 13544\n208 16851\n3794 7027\n3426 9939\n9275 13194\n3539 16301\n4321 17726\n10358 19135\n14595 16568\n5259 19861\n9308 17324\n16691 19129\n7532 19281\n17637 20177\n4390 8249\n868 14042\n374 13616\n855 5116\n3354 16155\n4214 8861\n1065 12505\n6261 15025\n15459 17672\n2255 12138\n8687 11231\n1463 10639\n12684 18201\n12528 19211\n17192 20044\n6075 9738\n8572 16547\n10988 11079\n5391 18660\n4149 9915\n8488 16449\n4817 18310\n8205 13204\n983 16584\n7183 19823\n1150 1777\n2258 13987\n4908 15568\n323 18200\n726 19963\n2813 11102\n3775 10533\n1755 13017\n72 17549\n7149 8522\n2520 17071\n4184 18888\n10535 17592\n444 15169\n3401 4652\n6601 19494\n13010 13494\n4995 11469\n13237 17438\n12912 16565\n2660 15441\n3787 13746\n2919 17968\n2160 4965\n7616 11511\n11812 20231\n3063 16078\n715 11961\n2423 8625\n5927 14734\n9865 12007\n742 2828\n1930 16938\n1172 16392\n11413 12343\n7707 13034\n12899 17178\n6219 15362\n292 19849\n9141 12390\n6570 11230\n170 10290\n1432 9783\n7643 13003\n152 6188\n10883 20003\n13043 16115\n11642 18220\n7893 19102\n9985 12447\n2476 4630\n12393 15417\n3818 13569\n4824 15594\n14499 20093\n2338 18233\n12425 18335\n2203 9360\n8528 14860\n6198 7354\n10429 15828\n3829 13610\n11595 17048\n4083 8815\n10913 14733\n10835 18609\n5353 11433\n3151 14458\n15757 18417\n13869 15807\n10415 13009\n11753 16117\n9826 11289\n11718 17354\n4393 14799\n12873 13208\n19180 19897\n2912 7574\n9760 17216\n5470 6808\n3384 18726\n6313 8641\n6555 19588\n465 2505\n3618 15132\n8556 15173\n10922 14059\n10050 14876\n2698 3162\n2822 18792\n18128 19552\n17743 18557\n2240 10845\n6802 17103\n8661 14523\n766 16762\n3089 15721\n1245 12762\n4455 6020\n10619 13289\n4974 15296\n4733 12969\n17065 17977\n280 14732\n13452 19306\n4490 7816\n6221 13930\n1302 18598\n7435 15821\n3356 8261\n2067 18343\n2027 9566\n12934 19308\n7765 12693\n737 18155\n11981 13387\n6750 15055\n14802 16614\n1477 11293\n5546 7453\n2591 11930\n4719 10897\n8144 11869\n3593 12707\n1101 16709\n2843 9130\n15494 16428\n984 3309\n7129 11327\n4956 17993\n6115 13665\n1233 7503\n8930 15303\n12192 19225\n15720 18927\n1914 2101\n1853 14811\n692 12908\n41 17027\n9731 12749\n5249 10884\n1682 17043\n4558 6263\n2527 11252\n764 18982\n861 6762\n5593 20033\n8816 13175\n7021 7859\n11552 17488\n6666 15636\n10576 11897\n12758 18084\n6760 19349\n10565 16785\n79 5935\n3553 5424\n6257 10012\n1415 12137\n6452 11642\n7416 16538\n17848 18084\n16026 18026\n12172 15745\n2520 8885\n13029 15131\n2384 17821\n4056 8505\n11051 12121\n9611 16598\n8362 19411\n14295 18579\n923 5827\n2882 4518\n3905 7961\n532 9306\n13381 17880\n16998 17807\n8809 17611\n6856 6875\n51 8840\n8886 19692\n4029 5607\n8453 18649\n1198 19431\n17243 18904\n17736 19552\n1506 12393\n2098 17005\n4498 15516\n11159 13751\n2241 4385\n62 1745\n4756 12416\n3723 12368\n8647 11641\n4716 16984\n8026 15168\n2977 8804\n4853 17489\n4793 8370\n19758 20040\n14729 15573\n4920 20022\n17547 18713\n8083 16414\n4521 15262\n1533 8261\n13214 15329\n753 1867\n763 1087\n15277 17791\n11227 14440\n1647 3216\n2822 18986\n2917 7774\n1004 11948\n4687 14724\n1887 11191\n16222 16459\n4777 13413\n5064 9042\n3214 14450\n477 17873\n7579 8951\n15718 18258\n1245 14400\n12655 12738\n524 4212\n4791 11626\n6533 8844\n1478 16718\n14852 19943\n4423 16661\n1945 16617\n1587 6538\n5009 12084\n11492 15369\n16769 19191\n6214 16910\n2531 12163\n3090 5856\n12637 18483\n16939 20168\n6355 13598\n332 6966\n2418 12308\n5783 18765\n3537 14514\n8291 17199\n4453 7725\n5623 18372\n2322 16258\n8494 15631\n6734 19365\n10163 11893\n17041 17895\n8669 17064\n2970 17036\n9916 18119\n9393 18670\n3940 19452\n5590 7522\n15919 20177\n1319 5128\n1715 9028\n4315 18265\n1211 8573\n4164 4734\n2602 8830\n2901 19058\n3772 4357\n359 5726\n1919 13214\n10907 15471\n3313 6462\n3472 20170\n2660 3175\n5793 7073\n5955 9593\n16108 17129\n7271 8693\n7972 18123\n3364 7612\n2914 6533\n13400 17276\n3822 13882\n18049 20036\n2068 19353\n9800 10087\n2744 8843\n13293 15709\n1764 14283\n11692 19834\n15297 15629\n4283 19474\n1425 13797\n4258 11604\n5701 13391\n352 4651\n16464 17783\n545 11065\n3257 12256\n15937 17548\n14018 18989\n12052 13023\n7848 18908\n795 17725\n14482 17252\n9004 10466\n12420 15048\n8958 19557\n1395 9685\n12529 19638\n15445 16497\n3003 14097\n6972 19646\n19207 19984\n5426 8459\n17652 19236\n4067 13607\n6760 15535\n4872 8451\n10623 18229\n12236 12672\n9362 12655\n2419 12631\n9311 11893\n1471 3342\n13584 19226\n3606 9264\n4072 19842\n181 16186\n765 14157\n1885 15779\n4402 4977\n6867 19820\n16865 18057\n6035 17477\n2084 7294\n1656 15758\n1687 12675\n4589 11257\n6299 16028\n7598 13891\n13301 15395\n5460 16754\n5965 20222\n831 19414\n17086 19959\n9733 15942\n1460 11054\n8593 12675\n14150 17285\n3879 11837\n4256 14408\n9980 13892\n8755 13099\n7182 18794\n7098 16317\n8670 17930\n1613 11430\n10731 20188\n4860 12680\n1581 4465\n5341 14686\n10932 18091\n2931 3492\n11243 15166\n11901 15386\n3543 13575\n11073 16506\n1272 14021\n9184 19342\n14165 15797\n1933 3609\n719 4415\n3259 14968\n18 6594\n9390 14538\n8943 14885\n10420 19389\n6568 10598\n3511 19586\n10310 12969\n8373 12345\n820 1329\n5371 18912\n786 5040\n1986 19856\n2316 18247\n3028 9164\n2082 9369\n16669 20222\n10423 12339\n4663 5101\n85 2222\n755 4604\n1290 11400\n2112 14785\n3114 16915\n267 574\n7204 9665\n4329 16414\n779 14914\n7188 14038\n2060 4155\n12441 17436\n2446 19891\n6905 18174\n10138 15610\n1512 19016\n1857 3806\n368 9729\n6276 6387\n5646 10013\n605 18368\n1477 9166\n9385 17494\n988 5352\n6000 6845\n6643 12917\n6338 13865\n6651 12253\n1000 13803\n16708 16882\n7002 12293\n5273 13604\n11638 17013\n2856 9901\n2857 5497\n2720 8103\n11062 16256\n4209 17243\n53 8154\n18407 18878\n8829 13710\n15703 19813\n8808 11398\n1375 19398\n15635 16926\n7723 16279\n1115 7307\n5980 8356\n1823 17892\n12419 17812\n1132 10057\n6204 6212\n11029 12010\n10781 16774\n980 11958\n9707 11107\n8066 15080\n4742 19919\n5201 9389\n8744 9269\n4344 11770\n3452 9616\n425 17087\n15322 16299\n5473 13398\n8861 9856\n4560 17903\n876 7954\n1760 19969\n3522 16256\n6309 19082\n594 2033\n12083 18390\n6487 8475\n12205 19145\n7199 8090\n17942 18337\n369 10263\n7386 16495\n6673 13144\n14779 19221\n6403 12417\n3791 16928\n2048 10820\n5889 13211\n10980 18606\n6358 15442\n3804 15349\n15809 19172\n15682 17636\n128 5485\n3095 3608\n2851 3595\n2579 3223\n12256 17052\n8675 16135\n3433 19605\n16331 18846\n6343 17190\n906 9326\n5870 12259\n4631 12793\n16040 19731\n965 8943\n3610 9179\n2040 5661\n7219 7298\n4880 17244\n3578 13942\n15888 16636\n332 9033\n15993 16363\n13442 16821\n8470 11482\n2306 2706\n2106 16969\n7788 10335\n8347 8815\n7501 8347\n7676 16354\n782 13787\n6332 17063\n14836 19091\n3827 6264\n9976 13090\n16682 18987\n1666 2000\n3293 8192\n8701 13763\n4845 10512\n6932 15894\n8929 13615\n3904 18773\n5898 18205\n13025 13640\n4915 12372\n7156 18391\n5153 19213\n12280 19895\n2024 8859\n5036 17067\n13852 20277\n6562 20104\n6274 9091\n3130 6683\n740 19818\n12362 18354\n4211 18884\n3625 18510\n15418 15694\n483 9356\n7702 9272\n4481 18676\n5684 19291\n11482 15627\n6015 14701\n5300 12990\n7932 18744\n1012 5780\n17247 20225\n100 6275\n1759 19331\n11961 12020\n10059 13606\n1851 18402\n9161 14754\n11179 18401\n5589 18064\n7219 9903\n8521 14075\n9828 10122\n2392 5411\n11340 20028\n9931 10866\n8091 8506\n10418 16266\n2825 13350\n6906 10251\n5752 19150\n10937 19788\n11255 18442\n5659 14952\n7379 11088\n3093 7679\n8131 15626\n2064 17861\n4709 9296\n2106 13243\n2480 14384\n8393 10757\n12948 18108\n5509 13898\n689 19267\n10708 13119\n5517 18447\n13051 19664\n3848 10862\n8187 13061\n1820 3933\n6863 19904\n6977 16415\n8982 11848\n1242 7326\n4174 15728\n3461 5580\n2880 13376\n6683 8540\n7142 9317\n2074 9866\n1142 11673\n5743 14182\n257 11262\n3177 7101\n4541 13796\n16165 17551\n4120 5126\n14325 15594\n7565 10224\n11234 15861\n6916 8789\n8302 17894\n7612 13877\n7678 13765\n270 1251\n508 19160\n2878 16156\n14784 20260\n546 1314\n1582 17836\n7276 11055\n7071 9871\n3297 18085\n1796 20142\n10805 15068\n6551 16070\n1106 8351\n161 19217\n9822 11998\n2504 20123\n3244 5715\n285 3232\n8176 15899\n18749 19881\n2713 10763\n2579 11609\n15983 16539\n10776 11740\n9641 12026\n4058 16400\n6342 18411\n6442 10301\n8179 18173\n2522 15145\n192 7670\n6050 16976\n1289 17690\n3873 17930\n10515 19707\n1992 5321\n5931 14808\n1273 10561\n3170 13154\n13563 16424\n64 17387\n2673 12987\n7524 14639\n6901 8655\n514 6289\n9012 16525\n7782 13058\n1768 3056\n10372 14113\n4085 13908\n5006 19940\n2821 13340\n4718 18653\n11118 16613\n2372 10185\n14356 16410\n7297 12380\n3718 11555\n3179 12437\n5102 5936\n15890 19410\n13568 16843\n3435 14840\n5925 9598\n3519 16810\n5237 10697\n131 19090\n277 5279\n4550 17090\n1230 10737\n1622 15122\n14855 15654\n4171 7791\n15487 15975\n11831 19915\n9465 12861\n3254 11919\n15786 17104\n7005 14328\n10805 12191\n13130 13566\n6201 18108\n13957 19960\n730 14948\n4550 8278\n2565 4546\n6502 13593\n7734 15462\n7138 12190\n9029 18320\n879 16671\n4420 19261\n6445 8072\n5204 16718\n3187 19270\n1419 2967\n10638 19900\n9473 13175\n6786 7848\n361 14626\n14311 17591\n5656 19389\n11753 11963\n10449 18966\n11295 15267\n2379 8973\n7852 11963\n1477 7256\n5743 20195\n10473 12085\n9778 10098\n1471 14695\n2401 5842\n5302 10847\n2931 19262\n2222 10637\n13388 16516\n1212 13036\n11545 13822\n9901 13082\n14457 16172\n14542 16627\n4810 20237\n8430 14380\n5788 9242\n1456 11592\n3366 5635\n2144 8482\n14448 16363\n3632 16363\n5398 18553\n6194 14603\n1065 14497\n17644 19733\n5779 10703\n8322 19990\n908 11191\n9168 17164\n17524 18769\n535 873\n15275 16802\n4289 13276\n8703 13165\n7817 18825\n3570 9510\n1603 8658\n3182 8173\n12696 14627\n418 15115\n10016 20078\n8999 15025\n3110 3447\n15303 20156\n3545 4719\n7228 15803\n3086 4662\n989 5465\n6232 15817\n2221 16570\n2557 10782\n4639 5728\n2969 17033\n737 9545\n5436 15039\n4784 20202\n10321 15371\n3107 7419\n9536 17494\n1099 9032\n4696 10827\n16016 19515\n5721 6707\n7044 11201\n1244 10942\n1517 4107\n10498 12845\n6918 10744\n10009 13918\n5771 7658\n11424 13553\n3929 5622\n11257 15181\n4364 5162\n9073 9557\n5791 18163\n1629 7174\n2483 13634\n7953 14390\n15254 15802\n1041 15016\n3638 8333\n6771 13006\n10108 11517\n862 5139\n13167 17054\n1838 8496\n8315 16307\n1582 15491\n2646 14035\n9453 14439\n18185 19932\n1109 6635\n7148 16086\n18727 19422\n10981 12640\n5764 15169\n5541 13678\n4280 14400\n4888 16385\n6669 11508\n8470 8706\n1170 6091\n5866 6126\n9068 18840\n2255 2688\n7344 8387\n2023 16344\n4280 8424\n18256 18378\n16696 19253\n8302 9839\n89 15639\n9860 16059\n3111 15247\n3857 3923\n3879 4154\n960 3099\n9842 14998\n8673 13634\n5689 8616\n11170 20015\n813 16371\n1478 17907\n10278 11076\n6420 18311\n7424 11418\n8549 10103\n1546 10443\n5391 7962\n1219 13242\n10784 16995\n2777 9063\n7840 19837\n13147 13709\n8766 9137\n2423 8018\n11540 15886\n2077 14553\n125 5974\n4318 7314\n14104 18372\n2395 4459\n4804 6919\n4698 15966\n8786 12738\n6998 12638\n8828 15871\n1044 4557\n16264 16746\n3662 6790\n10496 16615\n8924 15080\n12697 15280\n14002 17984\n5456 6047\n7089 14547\n16281 19693\n7552 13065\n1280 14566\n4243 14309\n13846 17607\n4903 8199\n6253 16541\n9899 17460\n3721 7089\n5808 7190\n3742 4328\n10001 19562\n14034 17331\n273 13985\n2443 12504\n4573 5525\n8054 8083\n11838 12240\n10644 14404\n6164 9440\n746 1809\n5672 6018\n12301 16155\n10571 17822\n14407 20119\n3018 17938\n6598 16288\n9240 15718\n15071 18029\n6948 20277\n16480 17650\n4449 19920\n3352 12051\n3767 11063\n1646 7907\n16959 18682\n7127 19503\n7504 18542\n14859 20153\n8785 13377\n8216 11727\n8112 17751\n10576 18384\n4537 14333\n154 2063\n17698 18988\n4123 17638\n11673 11745\n15214 16337\n6702 8714\n8497 11109\n17158 20266\n2714 7562\n11965 15712\n7177 13935\n3851 4767\n923 5435\n4324 19718\n5058 10647\n5256 14968\n932 16802\n3895 12837\n375 12251\n5158 16963\n14746 16980\n9033 10622\n9906 17276\n4877 6035\n15854 17516\n9334 17297\n7728 7780\n917 17656\n2057 9325\n65 7326\n6285 20189\n1139 14406\n8466 13273\n18794 19351\n6228 10958\n11290 14247\n8527 11350\n3996 18818\n8451 8590\n10703 14818\n5534 18737\n17073 17305\n13638 19097\n8024 8148\n17380 20280\n6605 6952\n10001 18507\n11209 15030\n932 14669\n6651 18294\n4711 16655\n499 16276\n14814 15636\n5800 6652\n4603 17972\n329 7338\n12115 18157\n5753 12686\n2931 16733\n11032 11806\n12937 18823\n5798 16596\n11792 15589\n2858 16795\n1403 20012\n2589 4959\n5016 14532\n605 14803\n8455 10595\n7202 10766\n33 16619\n7299 9935\n6617 16666\n3632 16397\n5945 16168\n5689 14325\n639 10785\n372 7633\n10409 11318\n6741 16111\n17472 19540\n13742 15630\n4695 14582\n8556 12207\n1704 10693\n4319 16286\n8154 16203\n10530 12805\n473 18428\n1480 3220\n72 9134\n6681 9111\n2023 15468\n785 17573\n7607 17798\n10703 11372\n8162 8883\n13502 13692\n11486 14648\n4710 9999\n12443 14694\n9188 12325\n2241 15528\n6231 14045\n3995 13716\n4162 12475\n11508 19732\n3077 14215\n11328 14748\n13113 14318\n14595 19158\n3992 14490\n2499 3929\n2523 3092\n671 9346\n10797 13138\n860 1614\n4276 19434\n14208 16284\n2649 19693\n7659 9085\n439 6041\n2566 12843\n5168 19892\n577 18704\n46 7692\n3291 15542\n16064 17105\n2167 3576\n6591 12872\n5564 10036\n6157 18270\n7315 10876\n11802 12484\n6838 19286\n3323 11367\n4949 12395\n1959 17533\n11324 17244\n214 6632\n4104 13330\n1063 19788\n11735 11890\n1777 12453\n1713 17930\n7918 12117\n4319 4664\n17474 18794\n8680 9310\n7933 15173\n484 18914\n6523 15536\n2365 12464\n2876 17798\n3169 5738\n8378 18693\n4710 11510\n3931 12092\n160 14331\n9313 19775\n4804 5751\n1105 7311\n11265 15649\n10188 12004\n1303 19012\n5000 16153\n15341 17082\n2545 18933\n1937 19513\n13706 14126\n9274 14768\n8529 12906\n14064 18023\n2215 6068\n169 14768\n1424 4383\n7491 11005\n7308 19551\n1208 6792\n13172 14717\n10867 12308\n8400 15724\n7500 14932\n211 1355\n14737 17156\n2364 4258\n381 12417\n12080 12258\n14120 17665\n13562 18402\n3443 4289\n9917 11230\n10472 13754\n13535 16051\n959 13119\n1380 5655\n3002 19652\n2221 18789\n1091 12164\n11071 11586\n7936 18636\n8038 19177\n6993 9079\n4876 12921\n15106 19111\n1781 4174\n7992 18897\n2627 13097\n15512 17472\n5241 16462\n6006 10959\n2482 14376\n4799 18058\n12183 13127\n1057 2502\n1400 12392\n10408 18725\n16277 17281\n1843 11386\n16932 17316\n3080 13644\n9439 14543\n1902 12076\n3811 18716\n4355 19798\n2459 12590\n5541 13581\n1467 15285\n1528 5529\n5617 7528\n9360 17476\n1572 13860\n3057 7176\n6320 7733\n13915 18434\n6217 8493\n685 6633\n14320 19939\n6428 19451\n8797 13323\n2697 6467\n8113 12520\n8997 14938\n840 2284\n3432 9604\n5894 11410\n12577 15488\n3342 4711\n7445 7620\n7914 19940\n8596 19538\n5036 6655\n2228 12290\n6789 15454\n77 14620\n3860 10207\n6976 15019\n7668 12808\n1380 6535\n4971 17798\n954 14718\n2191 7103\n12505 15546\n8870 9439\n8025 15348\n18097 18706\n6981 9078\n3152 15178\n4406 14032\n7617 15953\n1206 16324\n1080 4077\n10675 15301\n6917 15441\n8744 17207\n2968 15601\n2285 12001\n7858 18537\n12739 13053\n881 7243\n16014 19437\n469 1467\n63 493\n9310 19292\n13658 15072\n10630 12066\n9130 13278\n2782 10691\n6544 19773\n1158 6060\n8398 14588\n8702 17775\n5545 15777\n11090 19185\n2448 18918\n18465 19578\n6228 10696\n1103 9126\n1493 16982\n3104 9433\n18209 19084\n6978 17881\n9582 13341\n3558 19561\n11866 18731\n1025 3662\n2175 14711\n12615 18823\n6893 19605\n1293 7617\n3615 11426\n1097 6448\n11653 17787\n1070 7495\n2299 6447\n7861 9429\n14362 19360\n8037 9523\n15611 18805\n16023 16505\n4577 9358\n2259 6861\n236 8148\n4765 16748\n14338 15239\n28 15062\n2862 15755\n5294 16774\n7541 8503\n7395 17818\n1434 9193\n550 12175\n5610 6602\n4046 6694\n2534 4624\n7884 14012\n8351 11909\n11541 18419\n3653 13421\n653 14984\n714 1982\n5178 12180\n9057 10036\n10378 12290\n8279 13200\n544 7365\n3448 5532\n4229 19587\n6383 15905\n15312 18776\n10937 17249\n9048 19037\n9436 11261\n10531 15714\n6769 19177\n7433 9940\n12782 12869\n11505 14876\n6846 8939\n7962 16366\n89 9068\n1040 11893\n5238 6308\n4691 12866\n4823 10602\n1929 7683\n5640 10155\n13757 17726\n13639 14651\n3005 11776\n7000 18992\n13976 18829\n12419 13150\n16722 19695\n3891 10621\n11927 15014\n11584 18590\n5822 8422\n13788 17034\n4047 10454\n5725 11114\n2820 16340\n9183 15732\n244 7439\n2011 9550\n3014 13223\n118 8436\n12079 14381\n6489 18268\n7250 10684\n10364 15719\n8728 9864\n51 11920\n9215 10166\n8374 8832\n3518 16893\n215 8831\n5284 10623\n6827 11414\n4072 20022\n15187 16101\n10445 13985\n6015 9962\n10538 11274\n12924 19606\n5746 20053\n13396 17249\n5412 7671\n4699 7306\n10421 13558\n12999 19611\n7001 16884\n1164 7273\n2868 9112\n2372 18077\n5484 6878\n13350 14334\n3786 9105\n4882 6469\n1304 5730\n3748 18157\n10370 11713\n6728 6884\n127 5733\n2190 9377\n9194 11980\n6616 11867\n16871 18906\n2073 8530\n2059 4986\n10174 19005\n12598 17284\n1397 19943\n11921 12785\n15758 19812\n2945 20202\n4732 5437\n14083 16829\n8694 13168\n376 19099\n1326 11025\n3650 5552\n5359 7828\n12274 14665\n15672 18536\n2016 12529\n97 10756\n7131 14767\n9983 19687\n4426 5408\n9634 13390\n675 12672\n5513 18575\n14601 19940\n12505 13924\n5628 9327\n6339 9590\n118 4391\n7674 8772\n1342 3537\n15590 18088\n2396 2886\n13881 15209\n11237 17792\n6658 8679\n2686 7242\n7148 9981\n8620 14122\n3518 11877\n4392 16983\n13188 18882\n9945 15167\n9554 14099\n7974 9642\n10251 15441\n4143 16497\n5371 19244\n2390 13484\n7619 14121\n4086 10308\n9826 12991\n16077 18525\n8950 19735\n639 5852\n3818 12431\n17898 18171\n16129 19020\n9220 14793\n17515 19036\n3635 4507\n15126 19968\n2052 6615\n5180 18164\n12378 13245\n1616 15582\n1143 14665\n9818 20007\n10284 16629\n7919 13303\n5318 13465\n5916 20039\n8526 11333\n7534 9648\n5556 9326\n16781 19162\n1965 8106\n5860 6851\n3234 6742\n13993 19138\n3399 5916\n966 6443\n12277 13571\n12730 19003\n18489 18925\n3513 12557\n5007 15848\n2519 8676\n6414 19880\n7035 17453\n7980 18170\n299 18128\n5254 7053\n14181 15228\n2414 14715\n270 18071\n2180 19741\n10496 15509\n13217 19060\n5182 5430\n2750 5505\n2184 11386\n82 14680\n1422 1871\n4695 5051\n10090 13350\n108 1827\n7917 9824\n4446 9128\n6979 7985\n502 17155\n2731 9845\n3895 19288\n4633 15945\n2544 11383\n10753 13466\n2898 9184\n3781 5498\n16309 17250\n1719 17144\n14081 14369\n9593 11167\n16747 16878\n5513 5543\n1113 5380\n13976 16920\n7889 17901\n3788 13070\n12636 20086\n18749 20245\n1277 11350\n5425 15643\n7870 19305\n12201 16874\n12162 15649\n4195 11145\n13203 15038\n4176 17356\n4927 9907\n6514 10046\n11811 19250\n5036 14481\n1733 5845\n8497 16761\n10719 16469\n243 4956\n1612 18166\n11256 13025\n17183 18005\n2602 2991\n5948 12193\n3506 19725\n2922 12276\n1228 2165\n1639 19056\n8691 14599\n6681 8980\n13014 16977\n5741 16219\n4677 20160\n5113 17047\n2846 4712\n8479 12167\n1809 19057\n4565 11805\n11805 12209\n12685 14654\n2226 13820\n5267 10558\n6068 17708\n6328 11927\n7606 11961\n15802 16151\n8063 9249\n6110 13380\n11055 17717\n5072 15019\n855 13678\n1936 14123\n11217 19450\n11469 19084\n17336 18948\n4480 16305\n5225 12018\n7489 14694\n337 5487\n13299 19532\n5087 11147\n1964 19722\n12931 16555\n11665 13673\n364 1041\n8777 12617\n910 10978\n1377 11367\n7057 8903\n4423 13629\n378 3570\n4030 6758\n6013 9340\n120 10076\n16831 17983\n2666 15563\n260 3375\n3442 3688\n5023 14447\n4817 13005\n13945 18531\n9452 11794\n8716 14744\n2351 12238\n1743 7744\n4048 15596\n7321 18542\n794 19000\n4990 18862\n7582 19566\n12307 19110\n8505 13244\n1898 17373\n3963 19855\n15975 17906\n12565 15901\n7678 15501\n16683 17872\n3577 10201\n7808 12771\n3186 10097\n3660 8865\n18697 19653\n13862 20059\n8749 14292\n217 13585\n2758 19461\n3276 10645\n6033 10469\n3093 10336\n11865 19224\n4573 4862\n7706 19255\n18023 19290\n769 13009\n5286 9426\n7632 10518\n2050 4483\n6636 12069\n9092 9528\n15098 19561\n7327 14868\n11344 12830\n3405 16870\n13805 19853\n5659 8864\n1923 10560\n6380 18459\n3675 9674\n4606 7252\n581 18832\n11851 16951\n10996 18034\n8502 18638\n1430 7107\n3915 10555\n1723 10346\n4151 6003\n10039 14566\n11190 14027\n14246 15958\n1744 5057\n3734 19874\n1153 16236\n6921 8605\n8059 8093\n4245 11946\n8464 9285\n1593 17583\n3313 9007\n4614 6152\n10437 19357\n19122 20014\n11963 15782\n15611 17173\n17169 17820\n3266 8919\n18745 18935\n8869 13541\n4501 20171\n12212 19408\n18835 19657\n5547 12786\n9916 16782\n1503 16531\n15421 19874\n17706 19832\n7622 12131\n5557 14161\n2709 13627\n926 19424\n2798 3629\n6869 12060\n8985 9900\n2066 15772\n2697 17529\n10981 16285\n3210 18045\n10260 13701\n9926 12360\n6885 19347\n526 3830\n7963 19073\n5921 12433\n9370 15329\n9022 12606\n9380 15682\n3155 19538\n9872 12839\n7373 16206\n6634 8152\n6960 16639\n12428 18125\n1824 12524\n1511 17905\n7824 12708\n13910 19150\n2569 18830\n5727 13645\n3704 13753\n8957 15578\n3294 15829\n3989 18937\n8578 15203\n189 1498\n983 11037\n1704 3006\n2256 19385\n2053 9166\n8865 10610\n2098 8922\n942 15271\n6135 15196\n4056 18052\n9805 13887\n5395 12968\n5738 13992\n392 7322\n5118 12677\n1290 9738\n5786 9261\n11377 20153\n4527 13898\n12401 12587\n13 14537\n9594 11123\n4635 15086\n16890 19017\n12388 17352\n18334 19213\n2470 13237\n503 6691\n2599 18292\n17140 18145\n2712 18236\n12113 19141\n12156 20029\n6627 16390\n6451 16100\n6598 10418\n7251 10603\n4885 10949\n3004 8918\n10017 10474\n9606 12411\n11344 19637\n10202 16654\n7692 17619\n3593 5831\n8954 11675\n7364 7537\n2592 4683\n7751 8130\n9542 19355\n6721 10161\n3023 9129\n15350 19325\n10033 13610\n9398 12743\n2849 19661\n3312 5457\n14616 15094\n8226 16622\n16914 20137\n6562 7464\n9618 18642\n12002 15727\n3144 19306\n1957 7511\n6364 10217\n2286 14675\n7351 12564\n6254 14661\n2941 17043\n1097 7223\n226 10355\n5505 5784\n12209 16066\n7202 8066\n7478 16080\n2727 19067\n12258 16079\n14080 15478\n4787 11533\n1388 14244\n3897 12761\n5374 18986\n11065 16285\n5554 18645\n3907 15636\n1354 19709\n602 12707\n12123 12591\n650 12147\n4021 4905\n9215 15284\n2388 12614\n4077 12095\n190 8660\n4734 16786\n7299 8794\n5217 12685\n5341 16754\n5963 19136\n6812 15710\n10463 12029\n6037 9690\n11003 13149\n11942 14533\n4615 11125\n14205 17743\n10497 17291\n442 20246\n7138 16311\n7681 11018\n897 10347\n4984 17006\n15796 17000\n4757 19194\n14311 15178\n16049 17064\n6797 20040\n15202 17404\n15874 19998\n1556 9765\n3795 17327\n7044 18401\n5774 13680\n3187 8892\n9066 12088\n2694 10908\n9137 20117\n1536 17262\n4587 16266\n4887 17097\n2098 11789\n5880 20055\n18504 20098\n277 8984\n10032 17829\n3193 7279\n5921 15507\n8957 17235\n1363 11550\n14154 18549\n10792 18222\n8703 13202\n8939 12394\n13721 15105\n11639 11818\n128 8834\n6607 14266\n13279 14106\n15855 18955\n10461 15648\n11406 20116\n10970 19068\n4713 15542\n2230 9331\n6859 17287\n9545 12421\n10497 11355\n2777 17783\n9786 17794\n12514 14928\n9023 14892\n16065 18002\n1535 2256\n3431 4824\n6933 10405\n4319 19002\n11422 12231\n9830 12483\n5 18623\n3184 6974\n11113 12348\n14355 19150\n9135 9163\n7697 17033\n3663 11611\n3152 8653\n6715 10527\n1160 15588\n12023 14888\n6299 18503\n2451 4923\n41 6236\n18571 19292\n15311 19233\n103 818\n10689 17618\n1963 8271\n10194 18023\n5249 9232\n8111 11452\n10064 14593\n3470 18171\n8763 12119\n11491 14881\n6633 12901\n7157 9014\n11451 12994\n5482 16881\n11625 13083\n790 10156\n4896 13401\n16693 18414\n12794 17728\n14598 17802\n290 9572\n2460 10786\n3786 8831\n264 8851\n3665 10967\n3581 12316\n6325 14003\n6448 11082\n2628 16568\n2312 5983\n3418 19834\n4035 7707\n12059 17972\n9492 14818\n143 6976\n13824 17304\n4288 9839\n205 18929\n1838 20212\n1991 2649\n2228 8553\n3073 6094\n156 4824\n11352 14691\n2963 17453\n11989 17328\n11934 13892\n4107 12406\n2531 19677\n6284 9901\n11776 14593\n5735 11976\n1512 3341\n2816 16936\n18019 19809\n12268 13586\n13651 15316\n17672 19917\n1107 12790\n3529 19084\n420 18112\n9229 12049\n4576 10244\n1153 18929\n594 4138\n10869 13035\n6014 11196\n8189 9739\n14276 19913\n5487 14954\n4104 7804\n3416 8500\n5461 7165\n8802 10501\n11621 18097\n818 1908\n730 2807\n13460 19827\n1325 5080\n2892 12148\n2769 11035\n6209 14336\n7324 12780\n12206 15870\n8583 16780\n11975 17423\n8564 14243\n9266 10006\n8682 12913\n2257 10080\n5379 9667\n4212 19383\n5756 6537\n2410 6735\n15800 20020\n16508 18783\n998 13907\n17140 20193\n11451 12210\n10191 18734\n6319 7122\n2834 2911\n11279 11897\n5642 11637\n7080 14956\n3156 3480\n7983 8543\n9174 16793\n7265 16255\n1567 2207\n9493 17603\n10727 20028\n2741 8854\n4288 6409\n4198 11923\n5264 10261\n10440 15748\n9773 10682\n1572 4085\n4494 13853\n1990 3392\n8850 19273\n12278 12712\n9907 15914\n19306 20052\n2478 17943\n13741 16093\n1799 17479\n118 5072\n19573 19938\n14563 15817\n6529 13740\n6507 15850\n1273 17273\n6207 12746\n3047 9318\n806 10539\n5904 13952\n5741 10843\n4144 18313\n15741 20086\n4147 10438\n4109 19056\n8341 17888\n4218 5028\n3627 5735\n635 12837\n10387 18106\n11598 13134\n5026 8505\n9395 12599\n9721 15802\n10314 11038\n16356 17370\n7465 10547\n6286 13384\n15185 19826\n4369 9943\n7845 8294\n3251 3333\n4104 14872\n5393 14119\n2944 19598\n7748 12568\n11666 11962\n13124 13703\n4036 15607\n4952 13098\n1076 18972\n5999 17453\n2557 14989\n11339 19410\n8931 17113\n6026 13448\n12569 13290\n11657 15934\n750 20022\n186 6347\n7050 15695\n330 1471\n6262 13811\n9729 14334\n9911 19111\n4343 16704\n1764 9905\n8599 16878\n6560 18495\n6701 8591\n3903 13771\n7546 15273\n2732 18982\n1189 14615\n2232 19641\n6005 14990\n7326 14247\n2513 4641\n2611 18909\n14484 18409\n6991 7746\n17991 18285\n10726 16967\n12018 17490\n3692 12441\n4192 15860\n11708 19752\n4481 11893\n1307 3473\n9285 16509\n311 6571\n2194 7278\n1218 15633\n4816 10796\n2435 16056\n5211 8668\n1300 3324\n734 7853\n2262 14099\n1587 3669\n814 12724\n11979 13072\n7544 14160\n13382 17737\n626 9319\n2887 15172\n3146 13341\n10339 11271\n9055 19208\n18178 19328\n4349 17250\n1605 12399\n8716 15731\n18146 19606\n3956 17327\n5446 8653\n6607 15188\n14667 17965\n16191 18125\n8067 11235\n1641 11103\n15365 18443\n4097 18099\n2572 4396\n3020 11361\n7256 13252\n6576 9928\n2865 6124\n624 16538\n12613 15702\n631 11997\n7774 10701\n1123 6111\n8561 15804\n4003 15616\n4416 20119\n8740 15008\n2717 9805\n931 12638\n4197 14227\n10059 13245\n7006 8697\n2522 18133\n3569 9261\n5138 10341\n3537 13990\n12467 16794\n9973 18573\n11309 16630\n6836 10311\n15642 16570\n14739 18274\n1230 13201\n7675 12487\n16830 19760\n61 14458\n6915 6926\n6135 16408\n3408 9029\n1798 13774\n2424 7317\n8434 10173\n12126 14797\n13213 17362\n4675 14104\n3337 6822\n8216 14483\n10000 10721\n15640 16348\n1066 16469\n2908 6143\n4637 15043\n1650 7997\n2622 10797\n1603 17863\n13842 17768\n3767 13585\n10833 15614\n14596 17353\n18159 19748\n24 7829\n4134 11044\n2539 11375\n3586 4876\n4251 10996\n90 2791\n2378 13360\n15761 19811\n6667 18981\n6990 18953\n2763 14281\n5578 18721\n12767 19924\n5554 12729\n1210 11767\n3007 13175\n5667 17756\n1640 3125\n8216 18792\n15431 18301\n15659 18109\n1213 20124\n6938 15184\n3872 12125\n1688 5629\n10697 15066\n6393 20030\n5549 8469\n5967 19111\n3485 7222\n5504 18398\n15300 16970\n1822 6914\n1677 14916\n7997 18785\n2573 17073\n4159 5545\n6655 19869\n4753 14572\n5011 14826\n3576 11277\n13813 16488\n12487 14315\n18463 18657\n12153 17590\n3287 3751\n11916 13002\n7286 10352\n1251 11665\n2114 16610\n11506 18660\n8520 19289\n4347 4610\n1371 18846\n3559 15220\n16269 19889\n4065 15147\n2084 4465\n4990 13884\n14510 17328\n17791 19849\n12403 16363\n5007 18225\n17103 18862\n1471 17150\n2159 11152\n9959 10743\n1827 15523\n9202 20202\n6132 9889\n9772 15425\n12357 15693\n4454 13175\n17623 19797\n12782 19647\n3560 18467\n13051 19131\n586 19044\n14336 19346\n15987 17122\n10182 16249\n4726 15303\n7807 11029\n6125 6490\n5736 11327\n11936 15795\n10302 11162\n14301 14432\n1715 3978\n2917 13746\n1166 16964\n6119 10234\n784 6265\n6553 18003\n7602 16049\n3618 14078\n4207 14089\n3001 8275\n1400 6779\n6630 20288\n5026 18202\n14878 15397\n4003 14025\n18734 19297\n7721 16364\n10901 17820\n17769 20263\n10525 10570\n17075 20088\n6555 14958\n1478 4821\n4467 10317\n17072 19396\n4700 14800\n4087 7575\n2150 19727\n2196 8758\n13277 17261\n5911 9770\n3150 11341\n9607 10123\n8681 19035\n6807 12323\n4250 13207\n7161 12862\n2535 17415\n1326 11210\n7449 14337\n16548 17724\n9970 19766\n12822 17452\n7222 20183\n9529 20154\n7153 18096\n10063 18729\n12533 13511\n10449 16678\n3570 14725\n1028 19030\n8676 12686\n16316 19522\n2888 10540\n5358 16890\n1803 19074\n9466 18103\n12014 14044\n2700 7047\n3394 6617\n4525 10192\n3212 14259\n252 936\n13223 19535\n11553 13263\n4111 8076\n631 14323\n8843 12410\n6876 9454\n8142 13848\n3042 3608\n11701 15256\n5088 10707\n3460 4128\n3891 14853\n2487 17498\n7191 11441\n1241 13201\n13945 15314\n702 11952\n2583 9589\n2011 6591\n3898 18998\n5925 14157\n928 14015\n4320 17140\n4772 6200\n8354 18023\n8880 12990\n2541 11257\n14186 14597\n14318 15466\n7993 15275\n5626 12806\n3046 6517\n11948 16340\n7695 8746\n4376 16178\n1508 3830\n7831 17551\n8990 20071\n16541 17842\n6957 9771\n1647 13417\n8803 20142\n7187 16628\n12180 13253\n17679 19301\n3661 14764\n8038 12259\n5388 12739\n13135 16455\n981 3322\n1816 15893\n10562 17439\n3750 6920\n3971 10488\n5575 12816\n1352 18941\n8003 18298\n17779 19593\n9406 16799\n7588 15047\n13952 19764\n8638 10034\n1435 15022\n8399 19507\n11179 16592\n2614 14763\n2349 15126\n17578 17693\n1351 13937\n1728 13164\n13430 20000\n9883 16879\n12401 18644\n5781 10652\n1061 13770\n2889 15220\n8323 8923\n8727 13939\n495 12097\n8703 12603\n19430 20283\n7817 15721\n9200 15015\n4504 15976\n3935 17781\n3896 18794\n11955 17971\n10933 12007\n2832 14988\n7502 19629\n4128 11106\n3509 7818\n3740 7273\n10503 15368\n12929 14003\n12035 17680\n5531 17320\n3181 4577\n407 12092\n1191 12443\n1541 16097\n8910 18089\n15075 20170\n12805 18875\n10008 12516\n9087 12754\n2289 9624\n10583 19989\n2947 11466\n4592 5612\n5720 11067\n845 1587\n6114 8219\n4828 20033\n6480 7587\n12349 14008\n8788 11185\n3471 11602\n10727 11139\n10082 16798\n585 592\n15611 20201\n8101 14591\n3614 13298\n4544 19500\n5216 9917\n4437 15291\n14749 20092\n7687 13041\n3438 3942\n9870 14646\n4580 8396\n13454 17205\n2211 7006\n8274 12209\n1563 16987\n2819 11282\n3675 9353\n2967 12480\n15312 17264\n15157 18489\n12705 17607\n2101 8104\n694 6902\n8806 18328\n12382 19288\n4868 11711\n15304 19946\n9445 19546\n4079 13313\n9613 14676\n4753 6799\n1009 17644\n3840 7830\n13382 18573\n1685 11857\n3801 17159\n2995 19649\n12395 16369\n3597 18983\n2122 6662\n1634 18050\n9109 16962\n3454 16416\n1890 17200\n845 19664\n10593 14371\n6442 19595\n8224 18783\n1531 11697\n3502 17417\n7238 15428\n9540 10779\n7949 13041\n3958 15559\n9132 16488\n17478 17876\n4445 19996\n1217 15885\n15217 17693\n14198 18386\n6699 16365\n1707 16903\n4510 4597\n10990 14595\n14547 16910\n8250 9671\n4160 4545\n2073 7329\n3671 8327\n15738 15810\n610 15370\n9921 15776\n5669 12398\n13772 14359\n5380 10628\n6977 10546\n4942 9363\n3786 19666\n12874 20095\n13510 14463\n11129 18456\n7085 16808\n4505 5965\n6142 9588\n127 14941\n579 10847\n14133 17417\n5493 10981\n5186 19283\n1669 8905\n18125 19769\n8037 17660\n18453 19483\n408 14760\n13928 15066\n9742 12090\n15901 18168\n122 6233\n10684 19301\n7951 14176\n10602 18556\n4421 10334\n6913 8498\n7006 9723\n6750 18014\n715 15154\n5423 15642\n5954 13573\n8968 16027\n2505 7552\n1886 5928\n1325 4554\n13635 17156\n6264 12983\n4087 8900\n534 11098\n4845 16944\n787 19814\n4570 9701\n6437 8540\n11649 12245\n5593 12037\n8106 15722\n4699 9986\n15199 18153\n14776 16886\n10163 16734\n13722 16972\n2102 12533\n13970 15417\n7524 8545\n15559 16360\n202 13229\n3844 4471\n1243 19199\n6090 10936\n13156 14829\n6038 10307\n10071 14221\n989 9288\n3764 9161\n1746 7560\n2285 2695\n5413 10749\n13175 13786\n6871 10893\n9326 17943\n12520 12900\n2328 2978\n7579 8201\n5799 19616\n2389 17012\n3233 4320\n15586 19579\n3174 19982\n8684 17379\n6615 16343\n10213 16229\n2310 7201\n8761 14560\n6101 8193\n3020 4825\n1135 19249\n843 9775\n2546 20035\n8232 18722\n9821 15077\n8117 15100\n2484 12262\n12114 16729\n7275 8198\n8611 19842\n2322 16077\n1013 14782\n5298 8831\n1275 4716\n3505 17004\n3782 17478\n7426 20200\n6388 19470\n16808 18500\n1408 8457\n9182 10468\n1466 4480\n1955 10062\n4190 6282\n5223 11942\n13242 15848\n9068 17915\n7768 20277\n12580 14518\n9369 14054\n4043 9012\n3175 9207\n12219 18543\n12546 19491\n8030 14292\n12969 17175\n1261 19557\n5684 19268\n5806 7588\n11912 18409\n1069 14351\n3337 3355\n4787 18318\n3579 12785\n10282 13468\n12951 16494\n7355 12006\n13450 15609\n9275 15859\n7442 9389\n5561 16949\n414 3013\n5558 10635\n11411 17396\n17429 18868\n6148 15046\n3083 3817\n2113 15799\n19381 19964\n1755 16831\n2385 2878\n3272 4914\n11913 18349\n3342 18860\n5177 19912\n3051 19722\n2392 8478\n2164 17993\n19546 20067\n7311 13567\n760 10193\n4538 11946\n3208 10439\n15185 17339\n1572 9420\n10386 18471\n8858 12447\n5459 19651\n10006 13330\n7687 10885\n4414 18313\n16108 19615\n7609 11220\n11342 18122\n498 17243\n4048 7978\n12481 15439\n11128 15501\n53 5990\n2643 9149\n18200 18983\n9711 18835\n14854 17655\n2323 12334\n17686 19753\n16059 20212\n3139 3962\n2147 14421\n8177 19526\n9782 11543\n3730 16133\n7039 7356\n1850 15960\n9675 12172\n11189 15375\n18712 19297\n17964 18249\n3456 3637\n2304 9273\n15656 16576\n1223 8229\n762 16213\n15398 17937\n1041 16481\n13933 17497\n11085 14716\n4583 13162\n1480 20283\n7406 13918\n6669 7709\n5204 18280\n10908 17831\n8876 9982\n4486 15654\n6545 13671\n11253 16698\n8072 9498\n4200 18873\n124 11335\n305 15103\n11395 11555\n11380 17411\n4860 14766\n7946 16987\n8350 15441\n6736 14123\n3465 19156\n16930 18484\n16424 20265\n5551 6739\n4248 5353\n5017 11272\n211 16435\n6850 16824\n12372 16756\n1831 15013\n2433 18338\n2766 3255\n7850 10267\n13015 15630\n1330 11946\n13774 19748\n3369 15875\n7070 17986\n119 8380\n18167 18984\n2463 4833\n3468 6446\n5642 7615\n3139 17783\n14813 17758\n2743 12587\n13054 19519\n3631 7240\n2945 20181\n3739 17691\n6713 17886\n8823 17528\n15837 17650\n11652 18076\n10026 12327\n11792 17548\n5818 9891\n1963 7360\n898 13816\n1731 8406\n6133 9901\n3675 5718\n3760 5443\n6176 8071\n11775 19870\n1242 7148\n1823 12808\n3523 19777\n11594 17021\n13867 16252\n5986 8290\n4566 5159\n2428 17979\n3892 8578\n15459 15929\n14813 17718\n9245 11698\n5677 17515\n3996 10499\n4500 5059\n10901 15631\n14587 18101\n5361 5656\n5688 18409\n15632 20151\n1813 17162\n2934 18410\n18049 18138\n6889 9687\n2562 13059\n4623 14953\n4370 14183\n4769 10544\n2362 8006\n10280 14248\n5096 20021\n384 20138\n13879 18743\n7787 10303\n12011 14149\n1401 12386\n112 15268\n13316 17588\n4214 11640\n10841 12580\n6746 15190\n18704 20186\n5064 14302\n11269 16976\n6957 13478\n8983 8987\n2085 2875\n140 14096\n9866 10977\n11449 16510\n9091 17021\n3888 12334\n9183 20219\n6857 9749\n2014 10497\n5762 15043\n3412 17981\n11530 15901\n2740 4929\n539 6458\n16773 19180\n6390 13628\n3772 4211\n13860 20149\n8513 19845\n9762 15805\n17514 18675\n8139 20155\n9783 10192\n14257 18534\n3210 13986\n4281 8299\n2986 13086\n9793 13710\n6002 19936\n14709 19448\n10239 12570\n5659 9212\n2832 15628\n8013 9700\n1128 11333\n5507 18805\n9675 20024\n9476 10100\n4485 5471\n2431 14521\n7713 19323\n6809 10713\n6004 6080\n3749 12264\n7921 18762\n4229 5986\n7379 15710\n5906 13479\n12617 14296\n3705 6769\n5844 6765\n10502 15615\n6530 16868\n10664 11888\n3255 7328\n16843 17848\n9792 14439\n11340 12647\n8085 13559\n1617 19706\n1572 17879\n4549 20098\n3321 9168\n5638 12564\n5482 8014\n126 13598\n1732 3982\n14904 17032\n795 19553\n16687 17940\n1758 16805\n1950 18666\n6302 19422\n10837 19533\n15894 16666\n6917 15186\n13894 18990\n2621 6933\n1246 5164\n6421 11130\n502 4740\n3879 12212\n326 5087\n1448 16267\n2481 2529\n7800 12263\n6182 18070\n5451 8357\n13649 14700\n8138 19560\n7337 8049\n3909 20059\n3493 15340\n5222 16019\n9385 14034\n2080 17121\n1055 10339\n13270 19183\n15962 18319\n11846 12643\n1510 4761\n4254 16190\n11627 14737\n5184 14734\n13925 18948\n14472 16832\n3457 4498\n13144 13730\n9577 9945\n1576 2238\n10100 17515\n657 1256\n13762 14966\n6353 19236\n2988 6890\n3102 16060\n9993 18707\n969 6058\n6723 8957\n13975 18440\n4297 11559\n7870 14529\n1226 17845\n2690 12015\n3821 13895\n8493 9126\n18460 19167\n5436 10171\n1432 15654\n1328 4811\n6125 15948\n734 2599\n3683 9792\n1155 17798\n3160 4639\n984 4698\n13858 18641\n3268 18893\n5302 5989\n9044 16791\n3600 15543\n9005 9268\n15616 19566\n6617 12488\n16158 18329\n626 10302\n12108 15384\n6454 10690\n9983 19324\n5878 14599\n3945 11691\n3458 12483\n5433 19043\n3929 13530\n3019 18732\n14691 15724\n4889 13660\n11920 12495\n4790 15231\n9373 11617\n2849 17566\n4163 5566\n3725 19588\n10803 15290\n3322 10948\n353 8298\n7922 13967\n8689 20115\n720 735\n1973 19834\n2812 4408\n587 13543\n6956 18389\n1044 8366\n5126 19413\n4492 10238\n8867 15875\n7637 10962\n12895 13055\n10689 12245\n5908 6422\n7158 17771\n17249 17971\n6476 7123\n3593 14142\n9004 19708\n3320 11766\n14408 18475\n4439 11136\n1772 9502\n10242 16018\n12184 18500\n1170 7590\n7274 9944\n1928 19502\n7721 19651\n7158 17457\n3346 7128\n6309 16636\n12636 16923\n5747 9579\n10353 13526\n11087 12031\n1960 2578\n5261 10094\n15419 19408\n13606 16335\n4618 17917\n55 6032\n7768 18997\n13000 19755\n4640 16569\n3741 13085\n2664 14588\n993 14513\n2883 12291\n1196 19885\n1867 19262\n2293 9169\n7868 18643\n5921 12851\n3287 16716\n2539 8562\n16119 17707\n7848 13485\n3253 13678\n2227 13284\n5448 12956\n1654 11529\n7693 19674\n10795 17835\n18935 19605\n6974 17378\n14833 19146\n9319 13840\n1494 13794\n9399 18215\n7406 8081\n6973 16736\n9970 19822\n7290 8563\n9258 13617\n4795 15028\n128 18618\n11019 13511\n3365 13080\n1742 2058\n3259 3726\n5946 10885\n5481 16273\n5582 12379\n4196 5970\n942 17174\n9558 12541\n5341 10842\n8483 14193\n11186 19203\n12602 19948\n5184 9406\n10495 11089\n8832 18011\n6945 19475\n7855 10122\n3299 15941\n503 3472\n8965 9355\n3681 13217\n12688 20026\n3617 11699\n11056 15496\n2871 8051\n250 4289\n488 7842\n12863 12970\n15440 15479\n4811 10098\n11165 13085\n2188 16342\n11707 12703\n10738 19922\n7286 7790\n4484 18977\n2335 6924\n1151 7873\n2230 4893\n4500 13563\n3391 7878\n8185 15471\n404 9289\n2222 6951\n18843 19980\n17854 18949\n5612 9414\n541 1916\n8300 11485\n7233 18652\n7073 9208\n14607 16656\n14320 17254\n9454 10348\n17339 17961\n2313 2690\n4197 20053\n6022 10572\n840 6616\n12756 15881\n1826 11547\n12956 13817\n13291 18022\n17145 18391\n5706 11198\n5326 5449\n16693 17519\n5444 20025\n6090 11181\n2673 11752\n4104 10804\n9913 16971\n1006 3581\n7241 17152\n9250 18755\n1693 19287\n11370 12012\n4425 10176\n1707 3976\n7288 17739\n10791 16653\n3311 18307\n2922 17948\n7293 10199\n848 2870\n11566 14634\n19 12307\n10312 17141\n5953 8021\n7195 18524\n10804 14304\n9270 15268\n11247 13362\n6681 17143\n1931 5032\n3589 6028\n10521 14045\n3502 6172\n204 16825\n1707 20200\n5137 16510\n1335 9744\n1093 5209\n8141 14371\n3112 20102\n16629 18905\n6953 7149\n12362 19615\n7760 17728\n3320 7466\n4751 15477\n7723 9733\n11855 16989\n11225 19250\n14258 15951\n9823 17281\n7728 15249\n1247 7888\n5096 14956\n10895 13203\n5326 16370\n14798 18881\n7970 10428\n7352 17754\n264 2890\n18803 19559\n1654 13573\n6420 11005\n5005 9978\n11955 12164\n7711 12865\n2342 9790\n5496 10226\n1432 20098\n2734 3928\n3475 14810\n4046 5658\n2194 15537\n652 8783\n4608 6675\n1514 7507\n11719 18814\n2232 10999\n4240 19381\n8071 19982\n274 3199\n968 995\n802 2067\n10129 14919\n3163 18456\n16069 18843\n5686 9260\n17867 19653\n930 17750\n16955 18365\n4400 8560\n8966 15154\n8 19894\n453 9067\n3065 12683\n9046 9185\n116 10718\n2230 15162\n10512 10719\n353 6659\n516 19874\n7330 19001\n4339 19061\n9685 16496\n7559 13262\n5703 10883\n2474 6089\n3897 14790\n5975 6737\n2556 13751\n13127 19996\n1661 19373\n14267 17579\n4763 14657\n18214 19343\n18278 20125\n7481 13859\n6563 8588\n7782 17964\n5936 6916\n14194 16166\n5634 18248\n599 15254\n6605 13395\n4261 14490\n8908 15777\n8802 9781\n9174 15739\n17167 19287\n1764 16635\n9490 16593\n3122 9636\n9927 19986\n5724 6835\n4368 12776\n5436 12724\n10723 15264\n9692 18577\n1884 11899\n7241 12846\n469 8090\n5740 13451\n9948 18822\n4079 5494\n10106 16564\n4910 13754\n137 4165\n6799 8512\n1099 9116\n6707 10453\n2138 3209\n4946 11065\n1673 18536\n5111 6747\n16634 19026\n15161 19817\n2839 17405\n3978 6145\n12171 19727\n5641 17800\n7761 10007\n1534 4385\n9421 13555\n1279 15796\n2132 14703\n4193 10314\n8597 12866\n11608 17174\n2019 12012\n10502 15283\n11405 11938\n10550 14954\n16336 16605\n4603 11180\n14621 17125\n8992 18710\n12361 19908\n7956 10164\n3823 10029\n5652 19183\n11267 17542\n4453 17961\n3064 16673\n10270 15887\n2147 18682\n3014 9745\n4231 4553\n6155 19494\n11722 17843\n6624 20114\n2992 15001\n9878 17161\n12943 14629\n4354 13098\n4321 12098\n14005 19360\n2861 6908\n16851 19239\n4053 17993\n18847 18995\n6220 15964\n1276 2417\n5314 6564\n2481 16637\n10584 12857\n5006 5802\n9377 12492\n2679 14151\n13177 19848\n12322 15762\n1998 15776\n5303 17649\n5106 8266\n14138 14161\n6268 10113\n2575 10843\n5326 11525\n11773 14258\n1481 5841\n5050 10826\n8182 9169\n598 13514\n4363 9270\n746 18970\n6953 10384\n4979 7444\n10615 15714\n3444 15126\n1171 10886\n8433 17545\n8936 18948\n2250 7926\n9680 16279\n7230 15060\n9349 17586\n4051 14333\n12166 12613\n4354 11981\n3705 19586\n7925 17429\n12439 18556\n475 5325\n14299 17841\n3561 5189\n12807 18009\n8674 15374\n1811 12433\n1813 4222\n9880 15549\n12784 12903\n8250 8366\n8101 10113\n9048 9904\n12176 17078\n14572 15912\n2946 18701\n2598 18382\n13123 15689\n17152 20270\n3536 4782\n9695 11173\n15866 19241\n10728 15383\n7912 17839\n11782 16244\n3182 9859\n521 13568\n3021 14672\n13391 13856\n6618 17463\n4153 14716\n4236 18848\n5767 16102\n7026 13889\n525 7816\n4439 17787\n3950 9341\n10367 11653\n5605 12107\n7692 10402\n10685 12392\n4821 10998\n2028 5479\n5033 9853\n7316 19124\n4094 6908\n519 10059\n5913 14212\n3576 12848\n1684 4152\n1213 8040\n1310 7864\n12617 15121\n892 5742\n1818 10851\n122 3942\n786 12460\n2610 9679\n13051 13639\n3081 16225\n5184 9889\n2846 18047\n9951 16556\n8838 9295\n5990 12750\n2234 19782\n1940 8776\n9356 16350\n5089 19772\n1472 5125\n2568 11091\n3309 4405\n542 10913\n4021 7536\n1712 17664\n4302 18083\n269 5876\n878 6999\n12149 13081\n3639 10879\n3292 17534\n485 14461\n6055 16880\n220 6228\n8657 11540\n3284 10563\n1416 6992\n5446 9265\n5831 15716\n15979 17879\n12570 16206\n446 17357\n4819 5780\n7637 13337\n2434 9457\n5568 7775\n7500 19395\n5291 8230\n11376 14756\n3389 15484\n7418 9545\n13952 17309\n11546 20253\n5029 10826\n7284 10084\n2287 16308\n9702 10204\n4690 15532\n9365 11851\n321 10772\n2324 5897\n314 18365\n16299 18291\n3332 14498\n5007 12630\n13611 15006\n5952 15879\n8584 9936\n2423 19554\n1993 16734\n2303 6309\n9559 18798\n726 19071\n7208 8668\n14774 14872\n568 743\n10630 17312\n3144 19773\n6736 13757\n4879 18116\n5515 14179\n9310 12354\n19093 20110\n4193 12006\n1522 18398\n4806 15815\n1221 7413\n1282 14281\n11321 20123\n2984 11216\n10986 11286\n13825 16370\n142 18367\n6441 9607\n4657 14247\n1821 4152\n4713 14292\n781 9820\n8334 14170\n12295 18264\n363 3411\n1895 6985\n5211 11168\n12738 18576\n1947 5185\n789 14516\n4574 12324\n2379 18927\n2763 11132\n3642 17391\n14017 16600\n5452 6101\n5356 10586\n15498 19220\n3729 14408\n1850 10343\n4267 17573\n4391 20089\n17475 18314\n9232 10122\n6887 13580\n11844 18805\n532 14113\n5526 7797\n8164 12586\n10006 12160\n8757 8773\n4858 16563\n12867 14985\n4402 20120\n15903 18954\n6472 19548\n8912 12873\n6013 6591\n3406 20149\n5245 6595\n3160 12235\n11300 11599\n1707 12189\n3989 9537\n3831 10096\n3718 5661\n2229 17063\n9635 9700\n3680 6425\n3991 9157\n5629 12762\n9778 20261\n8693 17656\n1571 1876\n12261 13350\n535 9721\n6502 15166\n9392 9917\n8193 8452\n4624 7610\n1238 16291\n14671 15447\n2324 3225\n17643 17894\n5728 9477\n2863 16959\n63 8780\n14944 16622\n2236 9819\n9292 17037\n426 1632\n6982 10893\n35 18873\n13715 18300\n11076 17472\n4881 6818\n15465 17912\n8204 12568\n1462 3103\n6357 11085\n14032 17859\n14055 18939\n1117 6931\n8489 12141\n10356 12114\n11123 14514\n4789 9314\n393 10263\n12622 13366\n12744 14055\n2454 3871\n7987 17975\n4033 9013\n16701 18825\n2583 3454\n5205 7055\n67 13526\n11022 17096\n1404 2959\n14389 14814\n12125 13558\n15098 17960\n4625 17161\n15306 19233\n8724 10559\n3332 15852\n10260 16205\n6163 20228\n11847 12887\n15489 15661\n11988 16616\n5632 6040\n1091 19116\n10150 14812\n10330 11548\n1887 10605\n3219 19371\n3245 6502\n14505 17772\n10088 12750\n3779 20101\n14029 17588\n418 13402\n4690 17161\n9648 11516\n2429 11704\n3304 13243\n3710 4102\n829 3995\n6522 18387\n6735 12994\n2936 17373\n1231 19605\n2723 19215\n1454 9449\n6362 19724\n160 18315\n4936 13741\n5092 12155\n10305 16121\n7797 8155\n9706 17061\n3962 12661\n14363 16957\n2266 15516\n6367 9205\n4472 14574\n7808 10419\n10494 10505\n10487 15225\n2782 10084\n3825 11495\n9095 16467\n9088 9959\n13306 17482\n16400 16612\n1419 15222\n1768 16269\n12556 20258\n5223 8115\n4466 10214\n2853 8326\n2268 2280\n1289 8780\n3991 13910\n18529 19506\n17309 17381\n16536 17180\n2715 6430\n16942 17570\n755 8836\n8095 15799\n6203 6303\n649 6396\n695 15988\n1417 17660\n9467 14686\n9887 10689\n1337 8035\n16675 16878\n9418 10960\n1433 13871\n9685 18384\n4072 16927\n1342 9450\n14635 16520\n12568 20079\n11375 17030\n10398 18946\n15261 17266\n4147 7383\n433 18842\n12508 12860\n4426 11505\n12122 18306\n296 18830\n4788 14422\n5108 5430\n8227 17222\n10949 13756\n1426 4843\n3829 17564\n14259 18187\n12535 14773\n953 5615\n85 10480\n2860 13701\n4033 4379\n6846 12844\n7803 13238\n10348 19624\n16292 16340\n4834 18527\n11335 19143\n6115 11047\n11628 19952\n10089 16940\n19584 19687\n2544 3112\n1070 4991\n4457 10332\n2041 6700\n1517 9463\n7253 11410\n2640 7899\n14666 17209\n3248 19393\n8292 17474\n6244 19290\n2818 4821\n9356 18559\n6610 13765\n12920 17144\n8805 12101\n908 16853\n14806 16669\n9297 11342\n4298 11119\n2866 12974\n16120 18923\n10154 16307\n15554 17246\n8977 15800\n2855 20121\n11076 18852\n11426 12899\n10165 10422\n2327 7817\n4754 15243\n5729 6768\n2268 14834\n9022 10037\n2857 13576\n9725 14577\n12938 19586\n4307 5244\n14179 14531\n10848 19225\n5327 8017\n12273 13110\n13881 16315\n8588 10041\n724 14487\n3045 6517\n697 1460\n1609 4555\n4142 10850\n11271 13019\n5447 15978\n11480 12344\n4845 8467\n4650 19893\n10216 18659\n4177 16264\n5573 10504\n14356 18271\n3476 12792\n816 16271\n16371 17447\n9691 16031\n7603 7944\n379 4173\n4236 15422\n4435 7907\n8852 13279\n9830 13592\n452 3918\n2747 14087\n7992 10369\n14573 16660\n1813 11356\n5362 17208\n7114 14996\n10796 13916\n6415 10416\n12888 14491\n5388 15822\n1670 11237\n8440 16659\n4183 9380\n4928 7203\n9416 20209\n17501 19206\n8910 19718\n6617 13726\n5171 12319\n11256 15496\n3212 10677\n1579 16808\n2418 17280\n7636 17693\n2869 12622\n7848 12302\n17044 17367\n4453 9563\n4304 9177\n293 10592\n2420 13403\n4783 19006\n9079 11115\n11375 17179\n15454 17696\n2904 12672\n12084 15600\n14053 18038\n6284 17956\n808 14421\n6555 10388\n4337 11601\n6839 10490\n12729 14162\n1496 18649\n421 11044\n6969 7032\n13948 15554\n7195 9301\n744 20234\n4659 17777\n13434 14573\n1699 13974\n12897 14458\n17181 19189\n16018 18547\n6281 9536\n6185 8356\n12789 19629\n4044 7078\n663 865\n14784 17359\n10507 15307\n552 15442\n12463 15149\n7245 9051\n3204 20160\n12777 13837\n11312 16712\n15271 18413\n1957 4945\n4548 5693\n5456 15389\n4219 19635\n2226 8424\n16179 20211\n3222 14927\n6018 20286\n12729 14098\n9884 11770\n3584 10135\n2409 16142\n7526 20204\n12000 12907\n6132 19322\n2414 10153\n5645 9392\n10674 14545\n9507 12045\n7394 10077\n585 20004\n15956 16831\n10730 16749\n13135 16064\n10138 16492\n3573 3910\n1863 2191\n4307 15590\n4564 14984\n12488 19028\n2429 10729\n9841 14693\n1032 4183\n6740 19581\n13432 18850\n2938 3402\n17841 18436\n11752 18009\n10721 11602\n5436 6901\n16113 19176\n12057 15694\n3314 13080\n1811 15062\n14381 17450\n3622 17779\n3670 10924\n11543 18881\n6592 13023\n11664 13997\n3249 6443\n12708 13019\n1448 19463\n690 6461\n8316 16414\n16836 18156\n5796 7694\n2679 3186\n2613 16137\n6918 9895\n3222 12521\n946 1647\n14635 19895\n975 7333\n8386 10154\n2381 2544\n2844 20134\n10322 11661\n1176 1709\n3510 12115\n16168 19611\n4897 17150\n1872 2511\n11879 16178\n4865 15565\n4650 6400\n60 12152\n5610 13432\n10671 18320\n1957 2884\n3244 18592\n10029 17626\n105 13239\n2384 11190\n12808 16529\n4928 16071\n4709 14243\n18334 19479\n17545 19792\n3544 19936\n3205 9913\n4152 9661\n5733 6836\n13630 19644\n2071 13458\n9837 19325\n1537 4506\n167 18456\n3565 6415\n753 19586\n18581 20268\n5272 5282\n280 9557\n6057 9212\n2012 18105\n1726 9970\n9693 12083\n8337 10611\n3021 4457\n7645 10954\n804 10453\n5773 11437\n4271 5494\n3798 6928\n14000 14873\n2103 9784\n9512 12634\n10300 16359\n1381 7578\n2296 17079\n6807 9203\n2484 8175\n8887 9723\n12048 12527\n10561 18947\n14593 18452\n1381 17279\n1491 13069\n8698 13897\n2765 8715\n7074 18934\n4212 12202\n6435 17365\n3686 7723\n7353 10168\n13265 16435\n7129 11371\n1992 12381\n3529 4899\n4922 11361\n16165 20109\n118 13450\n2639 11948\n11313 19671\n469 15684\n1579 12427\n3030 11561\n3748 12262\n1028 7084\n9492 13720\n19294 19358\n15700 17312\n4598 8269\n16145 17639\n1680 17662\n5488 7653\n132 17507\n19090 19150\n5098 16746\n9219 11487\n1146 18175\n5879 7240\n7578 17997\n7508 8699\n9061 18992\n8348 10381\n2009 19432\n10101 10461\n403 5116\n5448 6572\n2208 19330\n13178 17472\n8160 15510\n4201 18852\n5508 11837\n17370 20094\n6058 8796\n4684 14968\n9723 10078\n4373 8468\n472 10816\n10920 19767\n387 12378\n8793 19273\n3237 7558\n6666 14879\n11977 18372\n14561 14927\n5619 10149\n2780 20130\n13491 18264\n4051 19072\n6781 18693\n1974 6446\n10078 14945\n3068 8677\n13028 18520\n2798 13494\n11555 12290\n3681 3845\n9555 10360\n9201 12856\n258 18140\n2695 6535\n3022 5781\n9807 18919\n1974 11582\n8332 13302\n2634 19114\n1522 6222\n5515 19330\n7455 12998\n7258 19385\n2181 8021\n3778 6633\n1873 5100\n2660 14812\n12042 20244\n5179 6264\n10749 11145\n8717 12990\n9652 9691\n7533 17152\n13319 18730\n7576 13560\n15809 17396\n5806 17149\n16053 19407\n672 18582\n892 2972\n1979 12752\n1448 7710\n646 18049\n6042 15005\n12247 13884\n118 695\n8713 13315\n7260 11178\n2773 4142\n7287 20156\n14081 16658\n10134 17948\n7843 12133\n1789 3393\n2418 10518\n14470 20068\n5784 7545\n11433 15001\n2268 9578\n15780 16607\n4288 11118\n7811 18629\n4889 5982\n1222 10701\n12784 17502\n9322 17027\n13233 20209\n8040 9945\n2760 8035\n3007 20018\n2684 17162\n3626 5073\n14419 16722\n4628 7060\n14230 14732\n10297 18082\n12411 18413\n1705 1845\n485 4277\n10617 16208\n10747 17846\n7183 18454\n12790 13331\n4324 11036\n1904 16627\n7300 13857\n1818 12506\n6102 12890\n6947 8195\n14067 17860\n4675 7155\n7391 18987\n664 5524\n4570 7955\n2023 18940\n1037 6441\n9293 9307\n8180 12944\n7883 11754\n5844 11781\n236 2605\n4066 17894\n7742 13978\n2156 15902\n15306 18737\n7545 18308\n11154 15295\n14025 14219\n3415 19484\n4806 8526\n10831 11109\n13185 18048\n5120 5411\n9731 20184\n17469 19394\n4316 4327\n9775 15909\n267 9303\n3457 9820\n3592 13591\n807 3768\n6097 15017\n11847 17803\n3986 10129\n3706 17437\n9994 11240\n7098 16544\n8055 17253\n4946 13735\n363 7104\n8535 19999\n6158 7266\n5187 16582\n17867 18360\n1109 3428\n5754 16595\n3932 10770\n18114 18359\n13148 16502\n17288 19287\n12613 15853\n3737 10511\n3548 12498\n12628 17068\n4847 9936\n12588 15961\n449 6762\n6663 11713\n11934 17784\n714 16725\n3993 19996\n14370 15510\n1385 7510\n3500 12632\n8823 9603\n1875 6384\n5259 18093\n63 4204\n12530 15416\n7426 9524\n4680 5287\n2273 9083\n9270 17221\n9216 18210\n13027 19829\n10349 15559\n9796 13752\n607 19986\n10232 10645\n3647 13275\n1294 6502\n2914 13332\n6571 17476\n6372 18229\n4466 10657\n4606 16218\n6363 18555\n4480 18290\n7040 7315\n13039 14508\n8938 11088\n9370 18647\n6418 10525\n15993 16770\n4378 8487\n11885 12815\n7020 16842\n3367 12755\n18044 19490\n9475 13083\n749 5989\n1228 12809\n3096 13476\n17049 17971\n12457 14867\n11107 19786\n8637 18075\n12803 15588\n3206 16359\n545 3509\n6417 13297\n3681 4467\n10182 13213\n6421 11638\n7937 19952\n14148 15490\n52 19051\n5752 19320\n11820 14740\n1946 6439\n16426 17482\n8746 10816\n8949 12830\n7316 15236\n4472 14168\n5904 20263\n7345 19818\n16161 20228\n488 13433\n15647 19644\n2514 14157\n11795 15477\n12047 17118\n5511 13351\n3448 6655\n10156 11613\n3456 7830\n901 16854\n16002 19467\n9090 9861\n214 11425\n8109 18104\n14314 18779\n9427 12954\n15845 18410\n16506 19936\n9236 10967\n811 5105\n2638 17650\n1615 7916\n10949 12843\n3267 15076\n45 18369\n2609 9962\n564 1069\n6710 18037\n741 10026\n4317 14708\n958 10357\n4619 17137\n2587 19638\n2247 2476\n18266 18503\n12448 14792\n96 7099\n16652 18189\n5373 10505\n2880 4507\n3805 6380\n11233 18685\n5558 12223\n2642 14738\n6862 9770\n5164 7185\n2079 2174\n4803 17596\n14819 16740\n2550 12270\n2275 11870\n1856 3367\n10828 18362\n11699 17434\n6428 15102\n15370 15942\n612 5836\n844 4820\n15126 16860\n8175 19663\n14947 17908\n3341 14281\n3303 16009\n716 17370\n2990 3552\n297 19848\n2057 13187\n13262 14776\n3794 12197\n9831 10656\n2500 19570\n10206 17023\n4839 8329\n623 7831\n2799 7915\n3472 15953\n7005 14316\n13709 16518\n9051 16725\n2020 13142\n4972 10108\n6320 16734\n13001 15009\n5222 16690\n7681 15830\n4382 18809\n2947 18422\n13349 17644\n9471 10308\n14461 14691\n8129 16258\n12863 17484\n9390 17116\n1975 14834\n2330 13498\n19087 19736\n3691 12556\n14111 18866\n1073 9941\n10163 11684\n5281 7215\n7346 7649\n11920 14714\n9351 16477\n5286 5294\n3114 15611\n1651 16526\n1339 9536\n292 12320\n7048 10322\n5997 8643\n5468 11154\n2966 4356\n1215 4612\n6390 19868\n10246 18107\n7830 11661\n1852 3758\n1285 12262\n13078 15385\n4983 11056\n11911 18856\n8629 17078\n3037 4958\n2788 7527\n3564 11070\n1095 14621\n1899 14657\n16994 16996\n9882 15509\n11235 17262\n14595 16754\n4355 14341\n410 9089\n637 835\n12467 17353\n17395 18229\n3506 17358\n2118 10060\n11140 16169\n8459 13409\n2087 17083\n11000 16854\n5779 6505\n69 1562\n12026 19478\n5985 10164\n2150 6735\n3898 12175\n2843 5357\n5245 10162\n445 12223\n1310 5735\n4927 13621\n1606 3190\n3321 10957\n7576 15086\n13773 15999\n2129 14953\n4880 18120\n10916 18209\n1653 13468\n14473 19527\n2933 10604\n14445 17725\n9874 11296\n6219 17264\n6153 11652\n4103 9332\n1911 19974\n1562 14541\n14372 16127\n6424 19777\n643 13553\n1269 9926\n7326 8818\n13242 20251\n6283 13504\n299 680\n75 6488\n7431 17371\n16674 17953\n15782 16475\n5854 11807\n2081 6039\n10736 15922\n13826 17797\n14277 16615\n13168 14314\n526 14008\n12608 20188\n16557 17356\n6971 14897\n9714 15214\n7656 14535\n11577 13717\n12968 16404\n13154 17789\n1613 20056\n975 9022\n4754 9985\n2166 7315\n4286 10604\n12335 15220\n13275 16989\n9199 12717\n8179 19039\n5122 15008\n8190 16512\n4703 14306\n2854 13827\n12544 15094\n8575 19504\n8432 13926\n10429 18610\n2448 16655\n8629 13514\n4919 18859\n8095 13432\n8713 19478\n6667 12351\n8258 18613\n8651 10110\n3779 13875\n3133 12555\n1368 11682\n1667 17110\n6394 17669\n18598 19763\n204 16777\n3047 7144\n38 9633\n2784 4006\n6864 19432\n3361 4479\n1227 16367\n4895 15972\n1554 13235\n7808 10186\n12158 13148\n10868 14266\n2315 10959\n4407 19022\n2180 20039\n13104 15470\n9701 12320\n13898 18086\n8819 14121\n3197 15225\n2891 17001\n10724 15190\n18652 18824\n1529 18697\n8344 18326\n2946 10113\n2313 12018\n8869 11542\n2901 3205\n4324 13268\n1428 14800\n2488 7494\n13583 18586\n239 15086\n1825 14696\n18993 19712\n5954 20007\n4695 19220\n1349 16971\n7389 11057\n17107 19109\n8915 16646\n7640 14750\n8486 11495\n16202 19214\n1349 13883\n9317 19916\n18768 20085\n542 16634\n12003 20179\n9294 19961\n5617 9103\n17036 17364\n6693 13178\n14403 17405\n1653 14823\n1370 17831\n3898 4167\n9377 9509\n2970 7469\n3464 4731\n4140 11089\n13554 14683\n12917 18016\n2127 10069\n9160 10322\n18217 19778\n83 475\n5967 10119\n6426 10231\n1234 18843\n16020 18396\n11111 14175\n7240 15012\n3966 12608\n8558 12915\n6196 8348\n409 14285\n10339 12263\n6758 15268\n14497 20085\n14908 18600\n9890 18029\n6016 19915\n15161 19618\n4724 9466\n16336 19551\n17343 17921\n2048 9137\n767 7237\n10579 13830\n7993 19016\n3303 7688\n11052 14299\n7513 18226\n9793 16659\n7529 12845\n6072 18855\n1838 10332\n686 925\n9284 17254\n5425 12016\n8016 9730\n13608 15746\n6993 7370\n568 6678\n9600 20192\n11108 12678\n689 10387\n3376 9999\n7161 10440\n1375 19024\n4700 14208\n612 11292\n7938 10818\n10066 11781\n7926 11929\n1294 19987\n2405 2981\n15816 18298\n8393 12364\n65 5302\n12755 18607\n687 1739\n10179 13454\n5577 18164\n501 9154\n1989 5015\n5715 17533\n3710 15941\n3292 6544\n16144 18119\n17583 18612\n12302 15308\n9712 19403\n6915 11155\n4170 12104\n7431 11114\n3322 16471\n1386 16024\n3569 12034\n2530 13664\n16872 20257\n6634 7158\n7544 19352\n1533 14954\n8980 9022\n1952 9945\n1427 4259\n2614 11454\n13821 15951\n6923 7990\n51 11355\n1242 12691\n7130 8281\n4058 10652\n4923 6506\n2787 14676\n11916 17526\n11706 13701\n10204 10982\n11963 18364\n11053 11876\n3911 5799\n9081 19930\n4685 10796\n3327 10549\n7180 19445\n768 1883\n463 3157\n314 10532\n5495 14683\n13631 14490\n13958 17585\n7934 15328\n6490 17492\n3184 11769\n12690 12707\n2596 15358\n7452 7475\n3859 14797\n1330 14532\n18929 19592\n4518 19838\n4210 4580\n8363 18449\n14149 18602\n6590 14589\n8324 9813\n12073 19544\n2917 19274\n923 16390\n6232 6375\n6580 18907\n6304 15329\n10570 10775\n14247 16401\n1675 5552\n558 17749\n4106 16531\n475 14800\n4866 20185\n5053 18696\n11165 16356\n2890 3267\n2482 4882\n2076 14842\n55 5082\n2942 14074\n3074 16719\n10432 13874\n1242 3096\n15069 16938\n6462 13098\n9103 17939\n9880 12255\n9308 16913\n902 18339\n6480 19959\n40 10466\n7821 16183\n9267 18734\n6858 10652\n8398 8886\n2994 18511\n14984 16710\n2287 3441\n7820 18014\n373 7880\n17668 18142\n2660 4437\n2862 4112\n16790 18421\n14640 19884\n9938 19262\n9533 19065\n7242 14726\n5391 11760\n4246 5445\n10551 16136\n3882 16687\n7894 18028\n9934 17367\n4021 19562\n8021 13192\n36 630\n12622 17763\n4419 15807\n5505 11090\n3008 11796\n13047 13979\n4949 12159\n167 16336\n8867 19071\n5961 9800\n10065 14693\n17946 20254\n6155 20245\n141 10712\n903 12399\n8109 19935\n10047 14758\n1369 19415\n13724 14985\n1052 4733\n16069 20069\n7600 11948\n8628 10638\n5565 5698\n7523 14942\n503 6621\n2124 7486\n13850 14954\n12970 16706\n15375 18817\n4224 12989\n9716 16806\n11025 16339\n8218 11623\n15512 18692\n9497 11750\n14681 19058\n2049 10740\n18442 19031\n2781 10924\n13577 17451\n10661 10907\n7879 7981\n8660 19380\n12733 14144\n122 11762\n6732 8911\n8684 15022\n10170 13601\n8895 18042\n5160 7112\n2176 16756\n2486 8836\n9084 17875\n4798 17435\n12725 16821\n14724 18292\n7484 14044\n2893 19686\n10009 16304\n199 18798\n383 1638\n1825 3045\n3945 7362\n624 14767\n10916 14475\n17746 18527\n9572 15003\n3371 6578\n7463 18893\n9276 13862\n12922 13123\n8549 18631\n9650 11440\n1436 16858\n2888 7595\n1345 19918\n7014 9463\n13651 19306\n3156 7700\n4618 17859\n2683 5319\n4485 8066\n3132 3907\n14880 15661\n14440 15415\n7268 12937\n2709 16816\n11268 14673\n3092 5078\n13262 15810\n13419 14428\n5948 12668\n4997 9731\n16444 17015\n9448 15080\n3978 10497\n13421 17496\n7615 13009\n11131 15891\n16091 16830\n1230 18332\n3181 7075\n4684 11820\n2468 13800\n5785 17233\n10706 13960\n5103 17897\n12603 18011\n17386 17648\n6924 8008\n48 9969\n6702 13861\n4958 15679\n9833 16087\n8419 14804\n9466 10660\n3733 19135\n2282 6187\n3587 15276\n2482 12436\n5089 7908\n17821 18941\n16311 18509\n6222 14367\n12648 14207\n10381 12942\n2339 16000\n10080 17967\n1318 9536\n1618 16032\n4055 15333\n12759 12867\n5888 17889\n2731 10196\n132 18533\n10430 12701\n4626 20227\n11747 19707\n16834 19479\n4600 13424\n11711 11973\n7467 8054\n3019 3925\n16419 17867\n13864 19669\n7829 17016\n2614 19804\n5705 20220\n12791 18421\n7565 14655\n10241 14822\n6792 11799\n7279 10448\n704 12100\n7213 13106\n15482 20269\n6854 9605\n2392 13024\n18683 20205\n15585 17478\n4912 17632\n1228 2901\n8944 16671\n4676 7003\n11479 15832\n8808 13364\n8913 9161\n12168 14405\n2883 5420\n4503 13489\n3345 5990\n4271 17004\n6223 18971\n5090 13210\n7812 17749\n6220 9552\n6716 11546\n4535 19850\n3188 7497\n14044 14229\n562 15590\n5031 13825\n16693 16985\n11407 15973\n8647 13108\n12790 15266\n10704 19537\n5536 12527\n1562 11116\n4568 11475\n9767 9883\n10316 12028\n5288 7333\n49 5786\n1545 10778\n16619 17243\n3528 8059\n6012 16996\n4779 15581\n2934 11032\n8569 8761\n8179 10111\n4823 6034\n2251 8044\n16705 18447\n9368 16443\n262 10142\n696 19694\n5962 7718\n5512 15727\n14760 17901\n489 12494\n1190 18018\n7146 16222\n9272 9620\n5405 18169\n11086 19117\n428 8917\n9808 16830\n3321 12002\n2743 9871\n3887 6255\n3301 12844\n8854 12260\n8337 13135\n7668 12025\n1322 9458\n14489 17996\n4580 16735\n8363 19634\n4042 19691\n748 5495\n854 19846\n18525 18897\n6704 17922\n8302 18422\n9990 18250\n1846 9786\n4679 20045\n14033 18597\n7639 12742\n11008 11920\n455 11689\n12252 14722\n7734 15962\n17452 18777\n287 3326\n2101 2239\n7457 15515\n3818 11762\n12891 15446\n12876 15787\n4486 5128\n15476 16786\n1712 19632\n3297 17832\n13078 18310\n10715 15001\n1988 8020\n9925 10165\n4332 16387\n1239 10349\n3423 15392\n1401 20026\n6164 10471\n15306 19253\n12149 16954\n2742 18629\n1477 8244\n7883 18938\n1069 2329\n5161 5436\n7711 12205\n2452 12923\n11795 11812\n9047 9823\n3761 15549\n8391 9830\n6955 17519\n2127 19990\n4879 17997\n11976 16847\n3397 8466\n8654 11699\n399 9340\n11951 19854\n17360 19408\n15571 17573\n7003 19670\n879 8621\n6745 9164\n1719 4030\n8411 16152\n12370 14446\n4453 12921\n2190 3515\n9468 18077\n12794 20104\n3366 7593\n5626 16298\n17484 19061\n16310 17238\n272 4808\n6391 17482\n4539 16470\n8937 17648\n5845 8958\n1759 19167\n10543 14623\n3419 14380\n8752 16027\n16610 19539\n954 7689\n4664 18906\n4163 18179\n6306 18384\n3767 7604\n5281 7407\n11020 15730\n10129 13988\n2863 11175\n3339 13465\n4825 15325\n8425 12286\n4005 6773\n18299 20180\n9099 11530\n9557 17612\n12964 15046\n5099 11317\n1720 6379\n14349 16200\n2367 16280\n9760 13038\n7232 9023\n3695 11368\n3986 4097\n3548 9739\n10015 16579\n827 14566\n955 2585\n3363 20109\n10587 15772\n9734 20266\n4886 5661\n18466 19203\n15711 16671\n434 16214\n3004 4495\n9887 11961\n11830 19965\n1178 15742\n1777 10300\n4371 14535\n5398 11100\n4042 10586\n5501 6257\n9106 18385\n3714 13405\n14337 18968\n17753 18991\n1576 4227\n331 9367\n5761 12190\n842 19221\n18165 18862\n10088 18824\n8406 12016\n14143 16164\n7067 10897\n11997 17603\n10502 12363\n15271 17779\n395 7556\n17984 18134\n5918 13616\n2345 8734\n9325 17062\n5183 8394\n9333 15094\n13671 17869\n950 2466\n16191 17386\n9432 10818\n10547 17075\n5550 9326\n6618 9101\n5838 10340\n1368 2327\n2929 20278\n9337 12675\n4006 8107\n10982 15735\n6188 8807\n6257 8457\n14761 19418\n6908 12458\n6824 15271\n1319 10651\n16 10571\n6690 15950\n394 6191\n3525 10400\n1310 15576\n10499 14350\n10743 20111\n14758 16141\n8674 14642\n893 4876\n13848 18233\n17047 19365\n511 14463\n2585 10639\n3898 16043\n647 19294\n2027 5128\n567 1568\n75 7756\n17414 17699\n6790 13085\n1640 10208\n4203 9668\n4786 5086\n6337 9713\n907 18648\n4167 6748\n2436 14200\n2069 12970\n6921 9470\n923 5609\n3673 12348\n15712 19559\n1720 2449\n14610 18650\n2261 10293\n8000 9612\n7168 15814\n13812 17833\n4583 16536\n2039 6060\n4525 11625\n396 4240\n808 16872\n1563 4556\n5614 10588\n12637 16867\n507 7017\n1213 4439\n7775 9054\n3999 9203\n2371 3986\n16450 19266\n11314 15588\n2382 2937\n9292 12732\n864 14984\n14113 19657\n13457 19754\n6400 8199\n14965 18454\n10535 13693\n12962 18039\n9951 16087\n2865 10074\n1292 1513\n2409 13331\n16004 17120\n4165 10989\n16576 17658\n5456 7363\n6772 11243\n505 9413\n5628 17026\n218 16933\n70 6809\n1851 16231\n11180 12429\n9618 16695\n11180 16131\n6903 17383\n242 14591\n316 5846\n4536 16851\n5959 12886\n11271 19567\n3222 4698\n16480 17053\n3812 12335\n13056 19708\n4675 6201\n8184 18185\n2853 5492\n6376 17113\n3503 19588\n1325 15886\n2067 15802\n7685 10964\n11847 18411\n3005 17157\n551 7834\n2207 5044\n8183 15756\n175 12138\n10570 14258\n15347 17049\n15386 18068\n463 2341\n2072 19653\n1440 19294\n14103 18484\n7436 8420\n8235 11209\n12611 19053\n5222 16228\n13575 14458\n7774 10489\n3160 12328\n11333 18313\n13479 19922\n11177 14477\n12095 12146\n793 20259\n16283 18558\n7860 20175\n5693 8201\n18501 19672\n2244 4162\n14473 18963\n13229 19376\n8572 12530\n10929 14012\n814 5458\n9249 14688\n7394 9496\n12629 13811\n4716 10353\n11456 20081\n5326 12828\n13658 17360\n11044 15075\n5194 14250\n11396 17086\n1921 18140\n10487 11613\n1871 6769\n3067 4736\n4002 15340\n6086 6622\n3343 10048\n1593 19796\n11332 17253\n3916 11518\n1529 3656\n17451 18308\n13836 14516\n10460 13899\n5539 8979\n1484 18528\n854 11667\n6922 18965\n14424 14972\n5832 16826\n140 1134\n9834 18169\n17111 18738\n11618 13815\n13380 15865\n13999 18164\n5351 18865\n5416 16456\n14251 15480\n3942 8709\n10373 20138\n360 18482\n1399 19118\n1982 4474\n18843 20167\n9337 18121\n5770 12302\n4513 15393\n4275 15882\n1507 2772\n2370 14881\n1769 11044\n8037 16450\n4721 15999\n15805 19914\n6698 18001\n18684 20035\n1213 3539\n10153 18001\n10444 18487\n12119 18584\n11656 14648\n5399 12984\n1324 16724\n5070 19275\n17200 18902\n13337 16970\n781 19978\n7808 13391\n18557 19311\n7477 11874\n7905 12161\n10816 16673\n1710 15422\n3348 13166\n1324 6057\n4249 4880\n5459 6343\n5447 6984\n16999 18530\n9454 13332\n15999 16429\n2383 8797\n4821 12937\n1650 17245\n2609 11708\n8974 13767\n2837 11973\n5547 11020\n11372 14870\n920 12639\n1215 15408\n6616 7487\n3731 4357\n10293 11489\n9278 14366\n4356 8506\n1174 10887\n3086 9208\n9228 13349\n5275 6599\n3426 18444\n7381 13319\n5875 7951\n4952 8781\n2050 18424\n2018 9976\n1878 14887\n2103 7659\n1974 17682\n1815 12963\n12526 19305\n2151 8288\n8910 9852\n13859 14115\n10663 12658\n7748 11529\n2907 11839\n2805 5112\n10488 14907\n809 5633\n513 3978\n7785 10754\n8074 12002\n6981 11345\n2456 4215\n1342 2443\n330 20229\n5527 15616\n11762 11851\n457 17503\n979 10302\n3892 9740\n2910 5656\n614 1889\n11652 12981\n1890 8481\n671 5274\n2729 15666\n3367 16724\n6545 16973\n13686 15495\n4051 16700\n14132 16001\n28 20275\n15138 19903\n6294 13849\n7627 15590\n305 4717\n1440 8140\n2973 7514\n1737 5424\n4475 15231\n648 16679\n8093 15242\n7559 17467\n1241 4028\n2223 2241\n9254 11174\n2467 12725\n4419 14851\n4533 10373\n3761 14297\n4415 19324\n2439 12618\n6923 14459\n3393 5424\n12306 18374\n4351 16868\n12284 12363\n15022 19549\n10934 17547\n13871 14127\n9988 17870\n13536 18951\n1904 11399\n5042 5947\n1023 7549\n3220 19917\n3473 10832\n14431 17259\n11236 19614\n11717 17154\n5179 9332\n6511 18912\n9622 19982\n4732 14248\n9272 10948\n7296 17518\n1907 13134\n9749 19735\n11591 19130\n1197 7833\n12657 15682\n6584 18574\n1229 10072\n9892 12990\n2357 7298\n8151 19862\n5624 18382\n1472 19555\n12647 15752\n9676 20245\n1107 2045\n209 8350\n16388 20218\n982 11043\n13214 13950\n10171 13202\n6443 14937\n1098 13238\n8111 19263\n9048 10528\n186 10624\n7292 14567\n1147 6870\n10093 13863\n3590 18974\n11168 18021\n10254 19540\n489 16716\n7003 13522\n1268 11699\n3770 13358\n3782 15067\n7439 20233\n11539 19822\n14134 20058\n16750 17143\n2387 13558\n3643 16251\n17650 17719\n3276 10810\n1450 10383\n15144 16268\n2303 6820\n8655 11605\n2925 5942\n1178 3787\n12553 19039\n10134 15053\n3342 3679\n636 17892\n12208 19174\n17445 18339\n4934 13642\n11844 19106\n2303 18948\n12533 13302\n97 6925\n5136 11087\n7067 14168\n9804 14272\n1428 2005\n5257 8325\n5336 18087\n6696 12848\n11310 15879\n6989 18580\n3038 14057\n6853 17750\n10479 16972\n14402 14649\n2669 12809\n63 3503\n5225 13090\n5838 18770\n8733 18462\n1129 12380\n7884 10600\n4495 16153\n7044 8643\n6112 8430\n8698 12361\n14115 14647\n148 4179\n7644 19109\n16371 20098\n427 18032\n3631 18837\n10611 17879\n3639 9031\n2772 11005\n3286 7194\n5486 16492\n756 10717\n11707 20255\n1042 6232\n15282 17155\n495 3152\n2925 10409\n929 13658\n1232 5681\n9517 10647\n6313 8374\n19021 19714\n15475 19012\n11000 12855\n818 6077\n10042 16438\n12695 14812\n18188 18549\n11559 11849\n1687 5510\n10785 12552\n3154 8663\n5851 18459\n261 11653\n6699 17843\n4716 7828\n6523 14073\n2267 12979\n1748 14849\n6125 13769\n965 3875\n15436 16831\n2380 19099\n10907 13778\n1281 11213\n8600 9768\n8073 17310\n38 8982\n3037 5139\n15635 18133\n4667 15970\n4848 16132\n10042 14333\n10358 17314\n9400 16824\n12077 12728\n202 8835\n10732 10816\n10089 14357\n5711 6085\n5308 16538\n12678 15019\n1488 5097\n808 5509\n7297 17779\n3017 7671\n3353 15211\n17317 18690\n13907 14417\n165 7668\n11113 12426\n13483 18864\n2394 15862\n4244 11663\n8511 10692\n9590 14117\n13562 17752\n12747 17579\n4864 18637\n17309 17960\n2634 7035\n561 13255\n11573 12500\n2789 19770\n6544 17795\n8460 14962\n5229 12321\n415 17634\n16883 16920\n8666 19329\n13998 19271\n5823 20160\n3506 13456\n2417 8608\n13923 18211\n13807 14692\n2782 18203\n6343 19633\n15203 16904\n2806 8741\n11365 19789\n7213 15072\n5086 7754\n4262 19316\n1084 5505\n7654 11760\n7102 13651\n4499 17782\n14567 15332\n12709 18312\n4666 16615\n3340 10316\n2519 3572\n14 11522\n2211 2649\n4345 11252\n9672 18955\n4950 8885\n1628 16486\n3771 11553\n2831 17619\n7940 14130\n1045 9177\n6153 6811\n1110 5847\n13470 14609\n8167 16745\n13010 14652\n5868 19088\n14733 16246\n7072 15316\n522 2569\n5769 18438\n12838 14473\n3457 12891\n6263 6282\n3958 15807\n10358 12481\n2931 17978\n12900 15021\n13694 20205\n3365 8211\n10987 18568\n13288 19438\n12893 19523\n16141 19600\n7906 18318\n8730 10314\n4987 9796\n141 18709\n4630 8670\n5071 14657\n15110 19594\n1708 13889\n1177 7440\n13454 20036\n5658 12232\n2295 6189\n1899 3398\n4042 4195\n7894 14875\n2545 11259\n11968 15580\n5030 10870\n11520 13200\n1752 10711\n3640 19465\n12354 14198\n114 16224\n17750 18694\n5981 11581\n1270 19297\n429 17582\n9541 11127\n3726 9544\n7280 18406\n12749 17759\n1492 19208\n14877 19291\n11308 18079\n8062 13808\n1051 13305\n128 13521\n3931 12809\n16927 17284\n4415 12951\n713 4731\n6230 7628\n11269 13273\n240 16242\n8647 15150\n1144 8454\n2957 18653\n711 7725\n7489 19227\n459 3728\n10598 13717\n10592 16258\n5913 15266\n5761 8275\n5253 7683\n15550 18124\n7657 15381\n9051 13244\n7729 19897\n5170 18875\n10835 12227\n3868 4686\n1055 9518\n4067 5255\n4000 20140\n10121 12779\n2327 16129\n6024 8192\n16292 19081\n14851 16766\n11246 13884\n1323 8077\n495 17512\n3601 11240\n12022 16818\n11159 14188\n4605 12936\n9854 11488\n7204 20194\n9475 9725\n5777 19546\n8461 14286\n14872 17702\n8615 14913\n10176 10713\n8833 10621\n82 18029\n3700 14637\n8268 12511\n2612 15163\n5391 20266\n8167 16041\n1999 11013\n2080 16014\n4725 18773\n7645 16536\n7475 11433\n13356 20136\n13554 18180\n4554 11441\n7072 8713\n254 8370\n8497 11476\n4566 7420\n1994 8254\n2580 8754\n12719 18838\n11998 13867\n11391 17775\n12491 12598\n2259 4212\n3786 7849\n4080 11500\n7296 17860\n8780 10542\n19596 20209\n12231 12451\n2440 5538\n5178 11230\n5586 9878\n8083 15303\n779 4053\n8525 20288\n1715 5854\n4839 11399\n2904 10442\n2258 8087\n14516 18595\n811 13305\n445 11186\n338 11452\n2520 7523\n3102 17824\n16059 16749\n2948 3756\n10774 12447\n3545 4182\n16109 19203\n3392 10405\n7276 15896\n5284 9151\n559 10194\n13485 16250\n4863 11024\n8468 18758\n2200 13794\n2476 14014\n2517 3857\n14469 16363\n444 7470\n11019 12434\n7214 8280\n7110 18964\n1119 7859\n5939 6657\n4497 19083\n4695 5864\n11334 19568\n6340 17720\n12260 19495\n6750 8581\n6824 16426\n6631 14108\n2869 7571\n7598 17792\n2048 13650\n3142 6061\n16357 19150\n2126 6640\n5262 7354\n10206 10432\n4870 18364\n10478 11411\n11895 13532\n8680 19018\n3079 19356\n6724 15185\n9456 14957\n1220 12650\n262 19382\n1225 1555\n2064 15399\n18402 18882\n2322 8672\n4165 8548\n811 8977\n18717 18847\n10226 15734\n918 1483\n4066 6865\n13846 17037\n12126 19732\n10235 20054\n10801 16861\n511 8617\n9243 13242\n5417 7046\n14054 20090\n14015 19639\n8786 12300\n4513 20137\n6542 9202\n1035 4562\n5049 11092\n15054 16697\n1827 6072\n8249 13287\n9575 18882\n4769 12834\n1757 14901\n11832 15457\n2699 10265\n5082 18451\n4145 7841\n6546 19459\n3439 9010\n4527 14892\n1548 1903\n423 1248\n4300 10362\n2751 11861\n17753 18561\n1681 8878\n5130 17510\n5779 14285\n6796 12882\n1375 19288\n719 19723\n5307 14655\n1182 18123\n9428 19847\n15646 17783\n5416 14240\n1221 19377\n10660 19435\n6581 16922\n5172 11045\n3933 8219\n3496 8658\n9466 18734\n6754 16255\n16107 16587\n132 1291\n11576 18126\n8614 15015\n4419 19757\n6619 8488\n2848 12062\n793 10359\n245 7683\n1029 7347\n8065 19967\n5956 20140\n8274 18686\n4376 8032\n4179 13122\n8901 10394\n16461 20158\n26 2702\n9822 12332\n1127 1936\n2553 9264\n14948 15999\n6703 19927\n18433 18970\n12620 13558\n1704 17866\n6648 9660\n477 14005\n445 10722\n5313 14505\n3851 11644\n12336 15158\n4048 8828\n18272 20078\n3987 12423\n10466 19531\n6918 18065\n6169 7166\n16495 16520\n1379 11466\n440 11919\n12656 18510\n7182 9664\n1475 5346\n2644 12295\n9342 12290\n2443 10762\n4467 13392\n1672 13776\n3522 18997\n5760 18912\n3111 8382\n15508 19795\n2148 15957\n10183 17647\n8039 13574\n9178 18593\n983 4487\n6456 8070\n564 12003\n4601 8877\n7968 8315\n17328 19446\n2256 18978\n11251 11922\n4664 9472\n2120 12815\n11078 13357\n2070 4676\n1437 16502\n7745 17701\n1468 14421\n2426 8295\n3109 11615\n958 16289\n777 18180\n3415 18662\n10810 13665\n12731 19964\n17377 18898\n1812 18639\n5403 9107\n11933 15622\n14245 18331\n10418 11067\n12769 17942\n6337 7290\n8672 10402\n8031 12825\n9739 13340\n15091 19416\n5952 16934\n6968 13842\n2902 20212\n14865 17516\n7027 15496\n2899 5183\n10642 18989\n1272 14044\n11379 14405\n13650 16313\n11288 12940\n11420 18738\n459 10295\n2442 3739\n4167 16894\n2354 12470\n15212 19421\n14990 17567\n1410 2656\n7016 9749\n555 17014\n8830 12003\n886 3652\n5220 10018\n4084 8346\n6659 13604\n13542 16510\n8659 19057\n1144 6810\n11599 18781\n11407 14927\n3657 17582\n318 14640\n11276 18690\n12067 12882\n8207 16780\n126 10124\n4315 9925\n2558 5742\n9007 18707\n3037 15079\n10293 18909\n2645 15273\n12777 19298\n9187 15130\n261 17708\n5263 15553\n10042 15833\n4990 14492\n9218 10041\n11503 16183\n5363 5689\n7803 14517\n17207 19322\n7708 19130\n5961 16557\n7099 7247\n727 8279\n3456 6966\n1512 16760\n3864 5258\n706 9726\n11357 12161\n10851 18415\n2104 15632\n2855 20144\n9416 18667\n7697 17045\n8965 19236\n11314 12000\n1706 2665\n12193 20150\n2031 3238\n7466 7717\n3205 5172\n6731 15028\n6 14203\n1913 14653\n529 8000\n17842 17863\n13273 14874\n2093 12669\n11076 14114\n8178 17916\n2189 7631\n14266 19472\n2775 8836\n3501 13638\n1724 13244\n12017 14096\n10520 13420\n1178 16050\n2196 15405\n10950 14996\n1977 5877\n15762 18089\n4504 18103\n6521 14772\n3457 4073\n5397 14072\n7725 18887\n10364 16268\n5770 17040\n9843 9953\n4872 9323\n942 12023\n9392 17633\n3784 11143\n6891 15543\n8016 10939\n15248 17077\n10681 16919\n13713 17560\n1181 18636\n12228 19821\n207 13199\n407 771\n3367 13703\n6068 6614\n5547 10243\n8889 14704\n2069 17404\n3131 12679\n14673 17531\n9875 19863\n13291 16866\n12830 18823\n16603 18819\n6292 12998\n7636 15570\n5659 18034\n10079 11428\n10033 15646\n6130 14466\n3328 11601\n9509 14699\n1519 10097\n5842 10380\n10393 16448\n7038 18767\n11649 16384\n10798 19051\n5601 10473\n1875 8499\n5036 12672\n11945 16407\n547 13587\n12721 14845\n3270 19667\n7024 7135\n834 15470\n7417 13527\n10938 13627\n12457 13933\n8073 17205\n6382 16669\n16158 17169\n13359 14522\n122 4602\n1778 15456\n12844 14557\n13761 16049\n3733 14354\n11877 18369\n1567 7188\n5414 14694\n1405 7183\n8176 19862\n8323 8594\n13980 16635\n8113 19195\n8345 9320\n8231 14532\n12387 14242\n5339 6104\n7274 14663\n2883 15368\n5178 12563\n1228 13769\n1307 4678\n416 4151\n10711 11817\n113 8396\n1563 12940\n10076 18370\n2897 19073\n1949 15817\n4269 14086\n5609 16941\n9011 19599\n15967 17281\n1060 3664\n6358 8086\n11512 16124\n1137 10848\n9997 17470\n3924 13960\n1610 1862\n5314 8885\n2958 7367\n9689 13051\n17506 18665\n12417 18568\n1669 3098\n780 13027\n3591 4878\n9524 10962\n4476 17319\n1172 2987\n3104 14082\n976 20140\n10269 14494\n1219 4976\n4136 5395\n598 5569\n1648 2556\n545 19092\n11631 13554\n13038 19042\n6125 15078\n4077 20158\n5683 15953\n4093 17687\n579 13353\n5431 18745\n2111 6378\n5824 11544\n6795 10552\n2165 17177\n10885 13327\n5696 18616\n11864 16151\n5665 9616\n8401 18168\n2601 9550\n11522 15912\n3451 10793\n2942 16130\n9448 16421\n5496 15467\n8813 10853\n668 9720\n14132 16823\n5479 13170\n2000 12456\n4187 19420\n1456 7148\n13989 18188\n11980 19761\n4860 19785\n553 19415\n3439 15772\n12738 17014\n5354 16577\n2021 14676\n8628 14313\n1100 3420\n4827 14185\n13853 16209\n8199 19696\n6508 8910\n16681 18762\n8274 14459\n11182 16454\n9656 18094\n8095 17645\n9464 18314\n3828 19211\n3241 4048\n13896 19770\n8772 9686\n2972 10776\n8163 15283\n2878 19710\n3897 15127\n2158 18104\n10708 14041\n1646 17061\n9780 17926\n376 5092\n2137 5003\n9122 9413\n1645 14166\n4269 19342\n2877 16748\n7507 20062\n1037 5402\n15384 19279\n13943 16402\n3046 19017\n207 12464\n3986 18108\n141 4959\n5090 9691\n5664 16865\n4021 19097\n6316 6411\n1399 3234\n4801 18531\n4456 19468\n2387 7175\n2708 6813\n7642 10366\n7040 9342\n8528 10986\n188 3193\n2419 16685\n3936 8510\n16153 20223\n9119 12719\n7563 10215\n2642 18147\n6374 14228\n1888 4894\n4627 7323\n387 9257\n1184 2481\n7652 7977\n2524 5164\n810 17482\n8590 17822\n6918 15995\n13352 19465\n5390 18099\n10235 18820\n1261 5275\n4218 14502\n9387 15456\n13004 19637\n3824 11438\n111 12061\n1318 15880\n14474 17326\n12358 17209\n13516 18780\n715 2429\n15254 16478\n7066 9000\n15412 18059\n289 17155\n9792 16022\n6630 18160\n6483 10196\n12685 16827\n9918 15246\n18171 18465\n15422 20184\n759 4371\n7429 18086\n7740 15482\n5903 6744\n1037 14550\n8849 14015\n378 14234\n8194 9376\n10639 16597\n16016 18073\n5451 11020\n10848 17678\n4690 11062\n6359 14107\n16587 17691\n2662 3827\n200 17653\n3078 8259\n13078 15867\n5472 7100\n439 19439\n8863 19633\n7105 16731\n4879 17512\n1450 3041\n11337 11561\n4381 4876\n17232 17327\n11699 14400\n1422 16025\n3994 4578\n8219 8671\n6502 11186\n10269 13725\n3561 7856\n12345 16077\n4714 6783\n3243 8241\n500 8520\n1606 12875\n475 7255\n11105 14397\n4507 19357\n3543 19483\n8286 9320\n8780 8797\n6715 16790\n15747 18461\n4437 18253\n3891 6414\n5 6519\n9329 17144\n7273 10226\n8791 18330\n1855 7738\n1476 8916\n19531 19790\n15094 17748\n8409 15418\n1249 6750\n2198 6955\n651 2346\n9292 10482\n3515 10186\n19400 19911\n6469 14444\n15700 16278\n3789 11036\n10328 10677\n8210 16110\n976 7083\n5382 10902\n5185 5339\n17687 18016\n8732 15416\n3715 16410\n8881 13518\n3671 12772\n720 9198\n5387 14475\n773 1558\n4280 16000\n10022 13982\n5221 6582\n15189 17306\n2513 11631\n2812 8892\n13022 17091\n1344 6918\n1648 17881\n7786 9982\n13490 18928\n5838 12787\n4478 9774\n726 16463\n14307 16891\n13890 18344\n1529 16126\n14957 18608\n845 11237\n8205 17125\n16567 17386\n3150 19903\n11438 14698\n11109 15894\n5904 16435\n6350 18855\n13217 19393\n2953 17876\n32 16022\n217 10415\n6372 7373\n15029 16967\n7759 9173\n787 11289\n6914 9815\n11596 13558\n2772 4192\n1686 7977\n6524 16103\n351 14750\n13099 15248\n9540 15135\n13077 15857\n349 11413\n4997 14144\n2307 16441\n4639 13396\n3620 17832\n2164 10782\n8512 12075\n9133 10003\n700 17637\n537 15651\n7094 14370\n4364 9897\n290 11799\n5504 13622\n6837 11275\n3469 19955\n1521 2407\n6531 13134\n3324 3593\n5215 17398\n11958 18596\n2018 16196\n5872 19567\n7867 17371\n6513 16417\n1528 3177\n18958 19587\n2206 19652\n9731 11828\n7552 16013\n3404 9665\n3179 11364\n13242 14793\n462 19047\n16440 20063\n5189 9021\n10395 19666\n9968 16513\n7663 18366\n5080 18189\n8252 20114\n5395 19834\n2291 19399\n9580 19653\n2123 19677\n9148 12567\n6563 12336\n4806 17345\n3884 19837\n14865 16477\n1184 3945\n845 15283\n17241 17659\n5437 12202\n5947 6463\n10214 17006\n1437 3410\n6530 19422\n15568 18368\n1185 10016\n525 12510\n7232 8826\n11896 20195\n15552 15821\n1935 2093\n1546 10388\n3562 11091\n12211 16706\n16602 17111\n13582 16846\n1529 2302\n11666 14829\n4998 14417\n9216 12443\n6140 7921\n5239 8878\n4298 6498\n8513 16652\n12806 17610\n7851 11443\n16913 19128\n453 2682\n12972 17772\n9075 18932\n6180 16525\n1722 3215\n7835 11020\n7038 9712\n2797 5829\n3025 11532\n8969 16623\n14708 17744\n13256 14601\n5400 15464\n7704 16758\n3268 7262\n4355 16465\n1071 15844\n7002 10259\n7531 12475\n473 16466\n17396 17728\n2202 16052\n2341 17899\n2396 15116\n752 3528\n8901 14302\n4880 10089\n607 18864\n7066 13224\n3173 8599\n3362 10053\n487 2439\n10491 13390\n4579 16213\n9344 16027\n11596 15473\n4140 14978\n4557 16856\n1222 1997\n10055 20262\n6563 9531\n8929 10822\n230 3297\n1497 7129\n2824 12136\n6634 8896\n15171 16178\n1661 13615\n9451 13148\n1524 17612\n1959 18368\n9326 17890\n4574 11087\n1364 14900\n14624 20056\n9783 17887\n5670 7439\n16689 17408\n12952 17784\n1936 19749\n8667 11117\n11683 15290\n4931 9902\n5112 14739\n15674 19058\n11633 16056\n832 12475\n10135 14075\n14929 16554\n14236 14385\n14242 17605\n6250 14196\n535 18543\n7812 20195\n4188 9578\n13756 19743\n18305 18409\n3449 10122\n2182 4598\n16881 17524\n3027 8007\n344 14473\n12513 17832\n5494 18531\n10229 12858\n2980 7865\n2679 5300\n2262 19541\n3049 10379\n3601 4851\n10185 10533\n17207 18503\n9505 11189\n1537 9595\n3432 12892\n7164 15526\n7861 18597\n11100 18159\n3629 19296\n16151 20118\n4663 14515\n10133 14926\n12658 14132\n8210 17217\n6574 18139\n9171 18031\n4438 7386\n2522 7009\n17913 19017\n17673 18750\n642 10119\n3551 10327\n1703 6709\n13026 14082\n4202 17036\n3361 13454\n7728 11078\n2955 6380\n3191 15382\n10827 12741\n5403 11229\n5594 17149\n5057 12954\n710 4316\n6989 7305\n856 12061\n9314 14679\n7748 17035\n2713 5469\n2124 6845\n2675 6510\n451 1137\n5141 8042\n412 17013\n3780 13079\n4335 8632\n14006 17442\n424 4467\n11745 13527\n3480 14467\n3211 7650\n1621 19228\n1327 4969\n11352 17619\n10023 10224\n8364 10898\n4545 5493\n15997 16908\n3625 8255\n13347 15916\n5158 15954\n15631 17928\n13818 17765\n993 3604\n3550 7871\n9771 14794\n6092 13634\n2356 14140\n7666 9215\n2469 12878\n11102 11264\n3828 8150\n3465 16132\n4509 5401\n12887 18405\n14078 17991\n3719 19565\n10285 15918\n8789 9789\n10908 15422\n3402 11135\n8615 11111\n7073 16375\n2508 14986\n9143 19806\n8264 18987\n9290 10248\n181 7655\n7951 13131\n12506 15540\n3535 16767\n2160 10098\n5945 17908\n3798 8625\n4827 12722\n11131 17456\n11777 13207\n2252 20031\n3846 14076\n11440 17394\n11328 14115\n3551 11053\n8603 18611\n16605 17215\n1153 10916\n741 11461\n2434 11927\n6118 19288\n1209 17126\n92 2563\n7102 14374\n7214 19309\n94 1970\n15911 19380\n5233 18870\n5708 15306\n11988 18663\n6732 18473\n3511 6545\n6848 12261\n11059 17213\n2479 15098\n8137 13312\n7848 10705\n13016 13125\n16307 18817\n15001 16285\n3206 11147\n18622 19893\n8080 16594\n5024 15701\n11355 18256\n15320 19098\n6738 14122\n4437 19919\n10602 11581\n104 4242\n35 4243\n326 2493\n4052 7805\n5522 13314\n1352 2471\n9987 10834\n7142 7880\n2346 10602\n381 13869\n997 17323\n10362 18570\n7651 19898\n3983 6378\n1163 9195\n6037 6821\n5450 15098\n12651 18028\n13451 14550\n3046 11956\n3312 16567\n5206 7014\n865 8006\n1440 7675\n12461 15950\n1267 18101\n3638 3751\n16210 18574\n18115 18818\n4061 16053\n12423 16675\n9534 12365\n8052 16593\n16372 17754\n9269 18217\n9255 18533\n3193 10970\n10655 18108\n6871 10380\n5726 7198\n12059 16509\n2215 19635\n576 3282\n6705 12038\n2105 16148\n14249 15832\n3060 10490\n7355 11528\n2202 14391\n8277 17623\n171 13305\n2403 15012\n1332 5364\n9073 12861\n15922 16838\n4457 8294\n4681 16241\n1156 15618\n8252 13508\n10183 17309\n6970 9835\n1544 18021\n799 9803\n770 1029\n10798 19420\n7861 9349\n6101 17603\n3701 5357\n12429 15216\n13798 16962\n17315 19921\n12583 15798\n3343 4340\n4352 16451\n17015 17432\n5276 19181\n735 10585\n12103 13876\n13556 18394\n7148 9094\n11706 16404\n4308 6365\n497 16062\n12506 19386\n1142 16633\n5121 16934\n1239 10704\n4762 7513\n7908 15607\n338 3199\n5059 20134\n4093 10118\n16706 19894\n4582 12957\n2199 8699\n1000 5916\n3490 7727\n13713 20014\n807 11881\n13629 15631\n8840 16939\n3834 9685\n408 7430\n9859 15807\n13906 19082\n12348 18327\n3181 11563\n6788 13211\n6192 9549\n7507 8958\n991 3848\n4549 14992\n13381 15277\n11468 16690\n17283 18978\n7626 8238\n11603 17136\n9658 18468\n447 7852\n4236 8200\n10810 17727\n2261 8137\n2223 10007\n8881 16088\n16077 16644\n11157 15697\n12447 16393\n1887 18478\n8065 8369\n10208 14441\n2207 13902\n9936 11722\n235 13880\n12470 15169\n18868 19816\n16326 19779\n2463 10843\n1231 10163\n15416 17854\n2397 6255\n1868 10777\n6386 14548\n1751 6172\n3811 13405\n466 16074\n1742 8722\n4508 17205\n9315 10143\n3324 9418\n4010 11922\n11424 17378\n10164 11808\n5029 16068\n10112 13090\n9432 15155\n17716 19913\n5382 17913\n11573 17854\n10512 10885\n18722 18763\n1224 9587\n2495 10202\n13461 18145\n5140 13712\n7209 11092\n8496 17608\n11154 14756\n1100 19021\n1713 4150\n12584 19863\n12851 16013\n1550 10979\n15580 18782\n3380 13218\n9524 11409\n17944 19290\n9530 15991\n5341 9286\n42 15951\n9103 13002\n7650 7986\n10780 18845\n1662 18846\n747 14965\n7386 9623\n2723 3003\n4763 19340\n24 10344\n1566 10120\n4360 13433\n2479 9178\n6012 17492\n2558 4002\n2463 16883\n1172 5078\n2260 18043\n759 8631\n16097 18346\n1597 11392\n3322 6986\n13832 17003\n9229 12080\n11724 17142\n6671 15728\n11544 20031\n3313 8033\n14714 16656\n11289 15372\n1240 11413\n8813 10672\n11399 17558\n913 4428\n1446 13307\n8727 17227\n3130 5914\n8793 16657\n3651 10520\n12539 18906\n16715 18242\n10328 11811\n11408 17646\n17229 18425\n14552 16740\n5259 17370\n6895 9287\n11468 11485\n2249 9508\n295 6054\n15978 16488\n8404 19598\n5383 9501\n2333 16066\n7011 18419\n13273 16028\n5014 10079\n2143 3167\n10736 14502\n9958 11351\n14858 18259\n4435 16290\n11693 13970\n8593 15344\n4727 7910\n3405 14637\n5009 8810\n13043 17808\n8437 14639\n7091 11398\n13704 15454\n9930 20246\n6957 19194\n1425 8476\n3208 8031\n5888 19475\n9356 14349\n19350 20231\n3033 13922\n10693 16860\n12099 15534\n11039 12772\n5897 8386\n10526 14826\n14726 18067\n7973 16832\n3513 9731\n4252 5157\n11304 14796\n7858 8673\n10493 19792\n8774 15512\n11716 19919\n2867 17750\n3513 11607\n3704 5439\n3478 8324\n2932 18245\n935 18361\n3037 13686\n5034 17630\n1289 5016\n3258 8830\n8374 8615\n3608 4193\n3424 7995\n13382 19057\n10403 12997\n12189 18909\n8867 19241\n3586 12574\n5316 20211\n19108 19741\n6324 16220\n14641 16423\n8600 12582\n7720 7776\n6827 12605\n3840 5895\n1208 16822\n556 10058\n2705 15693\n853 874\n11303 15067\n1182 16213\n1174 5601\n10334 10340\n3340 18956\n17467 20195\n3141 3538\n17090 17740\n10406 17905\n12227 19747\n1100 3755\n4451 18114\n12430 15130\n13217 15430\n7753 18493\n9720 10687\n5025 10885\n10835 18619\n2595 12238\n308 4587\n9368 14822\n5569 7396\n5853 17187\n8340 11428\n4137 16503\n1371 5315\n2049 11521\n7328 11394\n16954 18958\n10566 10990\n1429 1871\n1775 14801\n11626 17421\n8854 15271\n8559 18050\n513 3871\n2356 6366\n5452 5644\n1746 7895\n7982 8204\n6104 19814\n11943 13924\n15012 16672\n6209 16469\n4456 16362\n7401 13322\n11640 16898\n10831 12025\n70 6037\n2901 17808\n6983 9755\n9233 13946\n1258 12605\n4786 6959\n5599 10939\n6185 16989\n3078 18706\n1338 8126\n8861 9946\n16913 17523\n11328 17650\n108 18073\n7594 8127\n8951 17273\n1050 7117\n960 14900\n16906 17499\n4463 20139\n11094 14111\n4211 8926\n6342 13091\n4833 8751\n7888 9963\n11135 14067\n17577 18087\n84 1191\n5914 10952\n3062 17626\n2120 13633\n4739 10885\n8470 9449\n2954 11666\n870 16475\n7539 14526\n1548 7325\n5985 13758\n5064 6754\n12535 18353\n9231 14109\n7877 16112\n3257 8832\n8841 17225\n4030 8400\n15328 19936\n11271 19472\n4849 14047\n10382 16635\n11323 12567\n1030 15947\n14659 14920\n720 8498\n1391 14641\n1021 16350\n13139 18241\n7041 10556\n6628 13256\n19540 19615\n126 17383\n3482 10395\n5364 18388\n11045 11276\n16074 20184\n88 4183\n9203 16652\n15822 17577\n633 13710\n594 16402\n3250 16318\n10090 11890\n12445 19594\n7173 14848\n1124 13578\n17252 19487\n9990 18396\n5467 6329\n1244 13357\n5363 8523\n1610 5017\n11288 15646\n9521 9991\n2623 11410\n10898 15479\n2649 10747\n13234 17242\n15349 19753\n1285 15358\n4053 12325\n3461 14868\n2968 14886\n5813 6766\n6192 8832\n56 6509\n6683 19647\n4881 17701\n4431 12063\n3651 16518\n8591 19832\n2545 4090\n16604 17823\n1230 15801\n8734 14370\n11032 15377\n6765 19279\n94 631\n1465 4886\n820 13730\n8277 12657\n3923 7622\n5891 19816\n3630 15449\n3785 14331\n2323 15048\n4980 6363\n869 7653\n11054 11074\n2985 10296\n7017 15020\n2449 4758\n1081 5568\n11913 18555\n4948 12359\n1039 9570\n3623 19584\n3405 17543\n12679 13526\n12030 16350\n13609 16600\n3419 10922\n6329 12266\n1312 14935\n2997 9658\n2065 8501\n1003 3365\n7192 16379\n1063 8948\n4601 10170\n998 11064\n5060 8303\n5306 15020\n8110 19854\n9274 16504\n1880 15017\n3518 8096\n10564 15614\n4054 14080\n13282 13860\n13429 14050\n6704 17887\n1629 8225\n17121 19579\n4660 10078\n6988 8373\n7296 16326\n2274 4779\n412 5476\n14555 17083\n4006 19007\n13200 15193\n12002 17610\n18267 20008\n1409 12294\n5266 5409\n6690 19870\n10955 20265\n10149 18317\n12547 19007\n1553 11858\n16859 18681\n8025 11984\n12206 17752\n5530 11298\n10794 19087\n11237 18077\n9783 14007\n4 10672\n3057 9730\n3714 15392\n9232 13959\n719 20042\n2981 13888\n19391 19512\n2317 11221\n873 17467\n5614 9579\n279 16666\n4944 14541\n2470 4648\n9151 13545\n4761 8943\n10616 11555\n104 8332\n9862 13105\n6691 8663\n4810 16020\n2874 12273\n3002 19209\n6386 14640\n7466 18932\n1242 12112\n10370 16248\n548 13068\n10091 14347\n10661 12051\n7360 13229\n3570 12587\n11029 13605\n6260 13862\n1427 8655\n2716 7345\n3919 13757\n98 2804\n6912 6985\n2265 12672\n10062 16314\n1521 8382\n579 13264\n564 13876\n9618 12503\n656 8419\n66 18348\n16855 18130\n9043 20128\n4470 11265\n6031 11355\n11422 16613\n1956 11567\n18983 20072\n14737 16685\n10758 13450\n47 2408\n8779 8806\n1045 18797\n252 6145\n3009 6316\n1448 6748\n2791 5847\n13437 19325\n4520 7980\n1594 6767\n8532 18888\n5078 9914\n14272 18917\n7821 11672\n288 4296\n6104 10863\n7261 9352\n1830 7386\n6058 10907\n13215 13224\n7294 11383\n6348 12955\n1741 16445\n11247 13519\n3203 7831\n4687 17679\n242 13272\n15229 15712\n14549 15610\n2397 4934\n8047 20118\n4424 9599\n7089 12370\n13455 16275\n5021 13395\n5017 19350\n3499 8451\n13170 18979\n169 11054\n675 6306\n1583 2451\n9906 18492\n8098 15553\n4495 15233\n160 12478\n2840 5741\n15967 19795\n1136 2737\n7246 19686\n6295 19310\n12010 15252\n17969 19698\n16113 16740\n13028 19783\n592 1106\n379 19588\n5761 18467\n1725 2675\n5017 16095\n2315 6439\n11224 17105\n1341 5924\n3946 8706\n3080 19967\n670 19336\n13040 15978\n6296 9346\n2998 18562\n6786 11642\n11476 14558\n12468 14339\n3655 10778\n1985 4124\n1819 14672\n12960 13460\n9016 14682\n6195 18590\n15316 16731\n8404 11588\n1838 17572\n3205 19098\n6357 9446\n890 11740\n2831 17881\n1215 7102\n6080 8680\n17527 18445\n5823 14054\n11196 13732\n14592 15290\n10626 16880\n2414 6764\n7670 19283\n4801 12865\n2781 19068\n8832 12255\n3483 6713\n2939 11358\n934 4100\n68 19659\n7361 7770\n2550 8983\n5979 19457\n1118 3958\n5827 7812\n1475 17576\n15768 18524\n14134 18970\n6254 15450\n3787 14547\n10604 16103\n4976 8445\n6804 18400\n7551 12773\n912 8539\n612 17181\n2004 11433\n7114 13838\n1823 3936\n9056 14201\n11230 11423\n9897 12136\n11452 20205\n4662 15564\n11308 16040\n8540 15738\n9833 16041\n15925 19523\n13422 16238\n10283 18988\n8626 10058\n13153 16473\n10079 14333\n484 17804\n9929 19719\n7417 10127\n12950 14016\n9683 17985\n5656 13008\n17299 19113\n1319 12689\n7735 13011\n3006 20070\n1893 6947\n8020 19270\n3116 19884\n4233 4796\n2280 19104\n8600 14784\n2319 4476\n8834 11544\n12816 17436\n1036 1284\n13174 16309\n14813 16682\n14325 14829\n5204 16028\n13110 19027\n8156 15173\n6816 8501\n8796 17397\n12792 15095\n12813 17586\n6984 18808\n10258 15702\n1431 10358\n2138 10920\n6890 7451\n1415 20065\n5684 13191\n532 9918\n9557 10749\n3825 14706\n5555 14491\n15740 19306\n16718 17565\n16893 18225\n3996 14256\n6880 10193\n929 16357\n1458 5242\n2018 14322\n3126 16085\n3122 17264\n5860 8147\n9994 16504\n2539 3896\n698 19643\n15056 16493\n2998 15190\n1547 8921\n12886 16618\n7299 15407\n9099 10965\n1284 16710\n14651 19247\n6148 9261\n4017 6409\n7574 9249\n11050 13984\n4302 18542\n2195 15208\n10193 11218\n1007 3749\n12859 18328\n4951 6390\n2874 10117\n8397 10439\n710 20286\n3306 5583\n8760 9083\n6005 7202\n2446 4886\n14032 16293\n4237 12025\n5791 6656\n4414 19609\n8239 17450\n9311 12090\n5229 9176\n10811 14798\n693 5468\n10998 12410\n6526 7393\n1341 17577\n7996 9842\n6314 6666\n8098 13705\n1715 10231\n10115 13628\n6046 13508\n14402 19401\n8777 18923\n2646 17494\n3429 16860\n6988 16332\n7203 18666\n79 1027\n4183 5947\n2431 9078\n15070 18456\n8666 9734\n19592 20276\n13205 17526\n13745 16592\n10106 19018\n7491 18793\n117 15371\n6775 15911\n2521 14576\n8915 12147\n1394 2496\n10335 15427\n13631 14532\n16807 20248\n14629 16600\n6679 8739\n16122 16257\n224 13450\n7179 13208\n2229 16996\n13052 17844\n921 12671\n12612 14227\n9174 14732\n7609 20191\n11085 13806\n10048 12737\n6336 12343\n8224 8722\n2030 15849\n1936 9552\n7042 13433\n4121 7128\n7529 10137\n6987 16202\n16398 19186\n1758 16403\n3328 10474\n3218 17392\n11826 18808\n878 13788\n1727 8346\n766 6329\n12070 12275\n14491 14564\n27 17847\n15266 15465\n9953 15390\n6513 7153\n568 18259\n6116 7302\n3181 4484\n12491 13216\n8678 12086\n19249 19839\n12440 13378\n7567 16177\n1105 12429\n16331 17233\n15674 18407\n1458 2928\n7929 10635\n18703 19027\n10320 16591\n1112 13784\n2971 3080\n4889 13365\n5478 16618\n12347 14984\n181 5506\n7797 8131\n1025 13995\n11983 14864\n5646 5880\n3848 12993\n9858 14092\n8115 19127\n5736 12956\n15071 19236\n11799 16559\n5552 15507\n13604 18611\n3438 12268\n632 949\n3669 10334\n2760 9567\n12296 18322\n7148 17133\n16544 18894\n7884 15833\n1730 13176\n1050 8216\n8062 11341\n8118 10627\n166 15066\n8774 18286\n1040 17578\n191 15798\n2761 2950\n15156 17271\n4564 6883\n11253 19746\n4460 15248\n7081 16396\n11172 18720\n3247 6935\n5544 12648\n252 16825\n15552 16549\n15561 19395\n9060 18840\n10362 15476\n7970 15940\n1426 10514\n1139 16591\n12353 15252\n1409 14644\n2579 15882\n10246 20140\n2799 3359\n6400 14949\n381 15751\n1906 6192\n801 17069\n398 3730\n19589 19825\n2365 9591\n13098 13128\n11309 15192\n3796 9213\n4257 7060\n9835 12245\n389 2964\n11290 16635\n3589 16381\n12225 12789\n15446 19918\n11894 12944\n794 2557\n2049 16808\n6982 15932\n1466 9590\n15441 17064\n2944 16320\n15542 18998\n3001 3113\n2452 18374\n2585 3288\n2065 14591\n4336 11650\n5846 11032\n4905 11880\n6154 13993\n2876 8046\n17016 20158\n8687 17778\n5531 7899\n5676 11049\n17794 19469\n3328 9221\n1036 18763\n9611 16553\n8034 17128\n72 1320\n5096 18628\n3470 8331\n6105 15333\n12419 18346\n6060 8695\n2397 7484\n1511 19717\n5141 11943\n10325 20207\n8541 10655\n15834 18661\n2782 13301\n120 757\n5630 13297\n1312 15869\n7072 19412\n1906 15519\n414 9563\n4732 15993\n8617 14887\n6160 13716\n13147 15397\n9143 9854\n3427 16216\n5713 6845\n12080 19305\n11638 19946\n1604 12900\n6363 8548\n9882 17048\n3488 19063\n212 14747\n272 19068\n12654 19143\n17872 18682\n9643 14025\n5571 9741\n2069 11276\n6188 13172\n1871 15731\n1520 2312\n3869 13149\n10421 15613\n5144 18434\n11468 12634\n10996 12579\n2801 16664\n3892 7986\n16205 17155\n3884 5200\n16595 19747\n7801 8299\n11733 19216\n5641 19536\n13507 19097\n3474 10709\n1774 11411\n4481 13241\n11916 13374\n6602 7830\n13594 18088\n12677 13794\n8819 12772\n15693 16947\n8606 8701\n14494 18519\n1979 16511\n8030 9390\n4994 12683\n10231 18489\n4326 5618\n75 4447\n3335 6515\n2248 6375\n16190 17813\n452 8811\n9968 19919\n5646 12866\n14145 19662\n6065 13602\n8571 9655\n3736 5604\n1329 8949\n14557 16646\n603 15616\n1699 9473\n12696 16916\n3076 8437\n15353 19648\n255 2498\n13602 14290\n6404 18467\n2744 6450\n9024 12315\n5442 19484\n6442 17709\n1939 14626\n11758 14336\n8990 14895\n302 13501\n9981 18408\n13487 17991\n915 14812\n6009 12275\n1909 6203\n5861 11292\n3288 17698\n12493 17182\n9276 14721\n10677 14856\n9649 10117\n4142 8267\n18202 18852\n9082 13013\n6559 15934\n12207 15993\n4124 12950\n14722 16698\n1743 9070\n9115 15225\n14398 17757\n3837 8985\n8222 18526\n1850 10884\n8524 11544\n9339 17475\n2835 15809\n9734 13702\n567 3859\n4997 19695\n12465 17216\n8002 17078\n1080 18819\n3407 15805\n11425 13827\n4621 16373\n5340 12660\n438 8712\n7848 16327\n8835 16196\n3914 14344\n16199 17818\n4809 19332\n3798 11926\n8551 10486\n1226 8624\n7294 7341\n5066 16473\n329 9933\n3452 12850\n7740 13074\n3287 7369\n3464 5204\n441 2022\n834 6357\n3041 3957\n5863 6374\n5749 8362\n2905 19170\n12161 16445\n6162 15954\n3713 5502\n226 10348\n6536 8146\n5317 20285\n6158 19064\n6444 14897\n4359 14757\n1409 11343\n5377 14767\n3839 4726\n3992 7348\n8089 10845\n6403 12847\n14312 18282\n8980 13091\n17430 19489\n13863 14860\n1026 16252\n4126 14100\n5492 12750\n4152 13924\n15419 18702\n6695 13371\n803 5083\n2615 9898\n2260 9521\n8760 15227\n6244 13292\n10087 17360\n4400 18283\n9315 14291\n15160 16490\n16197 16437\n8891 15441\n2863 10970\n7891 13364\n5278 6615\n2855 14996\n16229 17521\n1278 19681\n9130 18178\n7912 12382\n5541 19827\n13168 14747\n1667 13318\n7987 14762\n4353 11289\n219 10626\n15713 17033\n12703 18970\n11882 17267\n2918 6899\n418 19354\n4708 7458\n13952 14653\n2717 10294\n5998 13616\n9182 16161\n7557 8915\n757 8550\n13260 19781\n12094 17607\n3500 15183\n3360 12324\n4012 13729\n10154 19413\n4927 17006\n1376 14054\n4465 9477\n12848 17280\n4987 8732\n15560 19902\n7684 8667\n2537 6048\n17234 17245\n8922 18843\n12171 15790\n1456 8687\n2321 4046\n1154 6838\n4658 10183\n9826 12541\n8627 9700\n19680 19799\n3305 13564\n1817 8201\n9971 14922\n3600 16893\n10725 18596\n12128 12518\n7015 19685\n4520 11277\n8397 18472\n13972 15585\n8906 15263\n2769 14139\n6793 8765\n3098 12623\n13372 19211\n10128 19980\n15296 15968\n11918 16158\n6600 16842\n786 11237\n15204 15643\n10129 15173\n155 7945\n9715 15911\n4311 8362\n6544 16959\n6037 19508\n11746 19154\n7328 9996\n5210 9249\n11614 18378\n18952 18957\n1571 7106\n3783 20023\n8716 14603\n2505 3557\n7889 15242\n397 18712\n7912 14482\n2798 7000\n1380 5510\n7070 19409\n16530 19458\n6654 8200\n3615 12883\n57 13498\n2529 11976\n1198 13208\n9927 15368\n11818 16241\n366 19266\n15014 15236\n7800 10108\n12446 18309\n5938 13342\n5021 11440\n1507 6407\n7381 13846\n75 2818\n9311 15875\n708 2566\n5401 10505\n17547 19872\n2159 2922\n9557 10924\n3585 14289\n917 18518\n13916 15193\n3346 8202\n12060 17972\n1819 4075\n9503 10625\n4006 17853\n5086 6692\n1841 13700\n5544 16356\n16952 18644\n8576 17269\n11042 14831\n11162 13010\n2299 10688\n6066 8083\n5787 19109\n12121 19525\n4172 4712\n2134 19773\n17433 19643\n960 17794\n506 20156\n10830 18639\n10157 13979\n17483 19539\n17170 19030\n8670 14654\n5581 17833\n12263 16812\n13029 16392\n2250 19933\n8653 18132\n1248 17811\n3479 14811\n5113 19315\n12450 19071\n10988 13433\n11704 17935\n13742 15384\n12604 12623\n8887 12049\n7610 20014\n1558 10306\n1402 13297\n23 3431\n3878 16787\n11827 16759\n15584 20090\n3375 12708\n8897 10652\n3329 10034\n1400 4482\n2698 6138\n15705 17222\n2767 7763\n5485 19892\n4202 4601\n2645 10254\n9079 20176\n3193 10967\n5836 9609\n8030 13216\n6594 12368\n8807 19645\n10070 18120\n9804 18627\n1229 16811\n1993 5867\n2084 4436\n3986 5539\n3811 4902\n8587 18568\n14308 17244\n10097 10467\n7909 13189\n202 17528\n2347 16116\n2597 8961\n3559 11497\n1708 10300\n17414 18361\n1781 20019\n7993 13145\n3444 10583\n1840 13014\n1413 13024\n4764 5449\n17291 20174\n12839 13785\n11130 14178\n15115 17055\n2355 15780\n9381 12660\n1985 15606\n6054 20016\n1258 19885\n2988 18280\n6041 15558\n10294 14375\n9343 15181\n19187 20101\n4830 16440\n2994 5734\n3086 14099\n6597 14661\n1601 2830\n3888 5248\n5170 10592\n1130 16058\n5105 13985\n1181 3260\n14373 19936\n13800 19843\n12973 19183\n46 11849\n2875 15183\n9428 11572\n11502 14238\n706 20148\n13499 19039\n1235 20131\n1392 9035\n782 9609\n495 7442\n9384 12455\n3266 10511\n3385 15176\n240 6432\n1568 8566\n4433 7332\n13890 17017\n14 7955\n5531 18329\n337 10044\n1332 4373\n1229 12142\n4309 20056\n2365 6134\n15810 18659\n2408 4105\n5072 9160\n10593 19016\n3516 9142\n9635 18573\n11622 14603\n4372 10069\n261 5818\n5891 9638\n11268 19000\n4299 12627\n5447 16912\n1027 18447\n8210 19188\n3829 4032\n538 6215\n8986 19584\n568 4992\n15825 16857\n5065 7274\n1879 19866\n12243 15822\n7264 9826\n10168 12451\n7423 12264\n274 15018\n3757 18448\n5920 13264\n2893 11052\n495 8633\n18870 19392\n6234 14248\n5833 19240\n6502 12030\n5927 12638\n11110 17754\n10462 13582\n196 1386\n11946 15405\n4276 11841\n10808 18978\n16534 19342\n10628 14035\n10732 18399\n3098 16499\n3123 4622\n236 18061\n126 15863\n11886 14474\n2879 15021\n10044 11810\n8047 15532\n6521 12475\n4141 20188\n5025 6165\n5326 7931\n12909 19139\n15146 16290\n6584 18588\n1444 11612\n4360 4483\n255 7843\n8512 12022\n10283 12588\n4143 15429\n7439 12942\n9646 17724\n7980 12783\n3976 5120\n10017 13250\n9761 18972\n6648 15288\n15618 16825\n7308 13729\n18024 19599\n5227 8551\n12507 15287\n2074 14203\n3390 11397\n7404 13803\n3951 9140\n12998 15073\n3572 10902\n2776 19441\n12886 15811\n513 1333\n109 15646\n11163 14381\n4739 18671\n6527 15984\n8580 12549\n11619 11915\n5843 6973\n3416 15726\n4868 17129\n7668 14664\n9913 11530\n10067 13814\n12711 15865\n6473 11146\n134 19531\n11501 12161\n782 2137\n5182 16485\n1006 11242\n1847 19216\n733 2302\n8273 16721\n1693 12815\n4952 12152\n8057 17520\n6167 18962\n10482 17743\n9001 9014\n5074 17451\n10365 10840\n9157 11101\n13378 14280\n2513 15966\n13735 14032\n5565 9871\n13522 20016\n10790 15615\n159 11010\n428 12946\n10992 18509\n10664 17119\n1504 5876\n17415 18092\n6449 19833\n10053 13683\n13404 16913\n10179 12371\n6126 13287\n8470 13681\n2497 16495\n4882 15858\n2437 4959\n11575 17133\n329 4432\n1706 13931\n130 889\n4055 17008\n8350 8959\n7130 15764\n10809 13208\n16319 19097\n5299 15263\n15720 16741\n19022 19422\n7704 17539\n1120 11628\n2540 9389\n15618 16703\n13065 16339\n12719 17873\n12859 13551\n9597 16516\n2129 15644\n6285 12148\n2217 15212\n6985 18683\n9190 14722\n10880 12841\n3661 13653\n705 13181\n995 1049\n16564 18944\n570 1034\n5634 12096\n3128 5570\n1471 9242\n4408 13405\n13406 18668\n15345 19213\n19035 19679\n7196 19723\n3213 12121\n16146 17205\n9620 10854\n14649 14817\n14409 16895\n3886 4085\n10360 15540\n3269 14759\n14438 19067\n2769 19192\n4267 10058\n9172 14330\n5915 13804\n2054 7079\n8219 17986\n11473 18705\n251 3382\n1279 12052\n16137 16505\n2924 19903\n3769 7872\n8268 13152\n936 14494\n8986 13548\n2201 13150\n3657 18997\n16417 19073\n6221 13959\n3179 17171\n8895 13655\n5375 8879\n8422 15974\n15103 20024\n6150 11121\n7773 12682\n8017 19614\n12278 19527\n1057 7866\n2976 10325\n181 1426\n9626 13596\n3604 16805\n4946 13442\n2973 9272\n9278 16800\n3812 13499\n7330 18952\n2708 2796\n9002 16844\n5240 9136\n776 3873\n3852 11571\n382 11351\n9767 12447\n6824 7232\n3927 6035\n1743 15132\n3492 8770\n5437 9561\n4364 14063\n718 19267\n2805 7938\n12316 13578\n13597 15668\n11166 19966\n16282 17150\n1122 13605\n6528 9504\n3058 3156\n13156 17509\n63 3655\n5746 14586\n2921 13840\n9485 20227\n5256 12622\n14185 15941\n13787 14041\n4688 6212\n1375 8521\n2731 6752\n3263 13005\n10985 16339\n13065 15485\n632 17394\n6430 9720\n11822 13042\n11279 19036\n13292 14092\n10414 16689\n227 7154\n1804 11000\n6669 15384\n11100 13482\n12314 19441\n4223 11132\n1333 4061\n17048 20100\n3577 5238\n9602 13216\n5111 10480\n11088 13184\n376 9734\n8596 17441\n7474 18350\n15132 18195\n13704 19501\n2665 11835\n12000 14091\n14912 17393\n2028 4858\n3923 5532\n16644 19981\n820 9942\n3947 13281\n5276 16182\n7817 19736\n14039 15369\n4582 9581\n8405 16839\n4151 8648\n611 6525\n8627 12405\n2590 12701\n7273 11040\n2504 14986\n3021 3730\n862 15721\n7864 15546\n7929 19431\n13932 14331\n4867 5009\n4064 11937\n1953 19381\n16982 17897\n14826 14892\n1289 16421\n10847 12093\n9119 16387\n704 952\n11339 20214\n6272 7573\n3621 19480\n4808 5742\n1048 7144\n6754 19966\n4775 18983\n2660 8324\n2685 19910\n17388 18654\n10918 18159\n5311 13939\n7087 13642\n194 6278\n7654 9690\n130 17877\n4695 10071\n7876 19009\n16378 18931\n11147 15737\n2690 12702\n6322 11050\n920 15636\n6970 12771\n10857 18675\n3803 16392\n8449 19614\n1090 11948\n16334 18851\n6424 18289\n814 2063\n12100 19828\n3697 17046\n5871 16683\n1394 4654\n10890 19183\n11295 13919\n12302 18880\n7380 9686\n1495 3470\n8085 10413\n5497 16314\n1316 10633\n6263 19222\n3380 15615\n3004 13029\n15924 19760\n341 3357\n999 5253\n5378 17173\n19733 19969\n12544 14200\n8521 15689\n2762 17918\n4615 13049\n4427 15913\n15863 16913\n7819 9442\n1847 15733\n3912 19270\n2128 4597\n12882 18697\n14209 19380\n1433 16808\n453 9541\n6666 8972\n3661 12418\n9606 19381\n4758 15933\n13525 17707\n15942 16856\n218 14227\n7346 10753\n2024 4887\n3603 8156\n7908 16900\n11783 19599\n10700 10929\n7371 17067\n1045 2807\n7658 17405\n112 5717\n2554 4480\n8301 18746\n9107 17676\n3363 4659\n4964 16334\n10362 12564\n5384 14607\n14380 17926\n1850 5133\n13614 18369\n12888 13791\n9160 15870\n5546 12573\n7365 14174\n2784 11501\n6209 15781\n6841 7501\n9681 10537\n244 16372\n7569 11285\n14998 19341\n9340 11737\n6361 9211\n4975 18713\n9188 13803\n16705 17460\n3156 17449\n656 6145\n2954 8321\n152 4781\n5422 16701\n6500 15138\n11283 11448\n15472 16715\n631 8094\n6434 17095\n4291 19284\n9330 16053\n4603 8331\n7826 10594\n10028 14619\n6393 19337\n1411 3374\n4320 15140\n8756 20196\n16527 20269\n10630 18505\n5670 7578\n4625 8814\n8684 19285\n628 13731\n1392 13439\n9446 10257\n16251 20094\n4577 8866\n9365 11311\n3929 15440\n14197 18026\n8815 13552\n5643 17445\n2510 18626\n2583 17166\n1599 3465\n5563 10690\n4734 8458\n11048 16412\n14954 16321\n11908 20075\n7767 14069\n5561 8750\n5257 8071\n255 2164\n2619 18228\n7527 15972\n7910 14448\n8568 13389\n14116 16463\n6103 13536\n5170 6624\n12094 13850\n5841 8292\n10042 13456\n4214 19279\n4546 10165\n4685 18367\n9336 13001\n11349 14964\n2711 17675\n11895 19555\n932 10430\n5659 16026\n7339 9805\n11733 19775\n11388 16984\n2533 17907\n14009 19353\n2704 13116\n5104 14179\n12400 16643\n6671 16124\n5971 17168\n18259 18830\n19718 19849\n10888 12351\n2732 8897\n13177 17078\n1073 19493\n3728 11535\n11921 14182\n7465 16545\n9867 11777\n1352 12283\n10831 14395\n2273 8025\n7197 19675\n5780 9316\n3485 7582\n8160 12393\n3326 7209\n2140 12775\n5735 7825\n5860 8336\n16857 18948\n9789 16190\n13107 16718\n9351 17674\n9968 15787\n2196 20118\n13987 20114\n6350 18067\n8935 15640\n4786 15872\n6725 9113\n11269 19788\n12214 16024\n5196 5253\n5059 13449\n59 16462\n13322 18350\n4403 15783\n4189 6362\n4519 15310\n2863 20022\n7144 10652\n8045 11345\n14335 18019\n3488 6531\n5385 13334\n2009 9212\n1090 12389\n329 7634\n6464 9883\n9621 18131\n6950 7755\n5131 10665\n2198 8857\n3586 10588\n952 16594\n14205 19728\n1538 17030\n7193 9059\n10771 16403\n3932 6015\n610 12901\n10702 11584\n1505 5146\n260 5969\n7134 11736\n5880 9010\n592 1986\n10466 17235\n5711 7449\n3763 16971\n2358 7971\n4776 15302\n8179 13645\n5128 6596\n7553 19625\n601 7546\n1183 9331\n12878 17232\n3871 6071\n11897 15947\n9374 17688\n8174 12860\n9253 16764\n2878 11467\n3857 9350\n14641 19426\n4716 18942\n7826 18649\n1058 1894\n1667 7368\n1508 18426\n6097 8572\n5850 16556\n888 3963\n439 6231\n2085 8695\n3325 14345\n2510 5912\n8986 12345\n2939 8621\n13334 19309\n6803 11711\n7871 11160\n9118 18826\n8050 18607\n10768 11261\n3977 4910\n10508 20263\n2389 8176\n12624 14768\n807 1394\n8949 20049\n12959 15840\n1091 11765\n4542 6479\n12280 17564\n11438 14843\n14578 17449\n16225 16303\n10657 19950\n3102 17227\n804 6425\n14993 17709\n3081 16503\n3520 10809\n3868 8853\n10199 17521\n924 6962\n12874 18264\n6260 8249\n11708 14789\n1478 8821\n2682 13403\n11765 15360\n10327 18873\n4987 19494\n5294 15950\n3077 5177\n2927 10501\n10378 17129\n5888 11750\n1972 14813\n1273 17178\n8979 14178\n17418 19088\n1172 19752\n4481 16817\n2461 9725\n8559 15204\n8254 18364\n763 7326\n4038 19628\n7521 13088\n10143 17178\n6598 12481\n8344 10231\n6893 16932\n8636 11141\n5607 19473\n1993 5190\n7056 9835\n5729 5963\n9208 13883\n4417 10157\n13820 19893\n11544 16895\n11294 14703\n5210 6473\n5451 13669\n8594 10827\n9352 16072\n4920 14695\n8962 13009\n12327 12329\n512 12169\n17452 18956\n2436 12415\n1101 13314\n281 16426\n12948 16277\n3718 12305\n901 12052\n2891 11258\n7002 16043\n239 12280\n5102 15353\n7449 15640\n2327 18528\n15525 18252\n1983 9145\n9513 12198\n6111 11018\n12785 14452\n266 18224\n11348 16700\n793 12493\n3108 4454\n5910 7003\n8684 8733\n9592 12275\n14875 15636\n4515 14080\n13972 17010\n259 14313\n9876 19413\n8977 10305\n7745 20092\n474 2913\n12885 18389\n10992 16666\n1338 18898\n6068 12541\n8591 16946\n5090 12895\n648 4987\n9186 14319\n9524 10035\n8557 19334\n7593 11816\n11354 13641\n17583 18623\n12290 14376\n8319 11031\n552 11114\n7708 8581\n2117 17098\n916 1323\n3622 18303\n17400 19946\n5590 7992\n16556 17806\n10235 19482\n14606 18358\n1974 3467\n7264 8459\n6010 13219\n13135 19027\n1935 11585\n10698 18216\n13818 18334\n11456 13479\n2776 7566\n9846 14729\n5784 19033\n5107 16515\n6561 12190\n2689 12586\n4204 19887\n8581 10565\n12672 17715\n19320 19766\n5857 18137\n6866 7748\n12143 19171\n8357 12542\n596 14988\n1154 3199\n3918 17605\n1754 5144\n5025 6120\n7912 18948\n119 9884\n16839 19522\n11047 13522\n7746 12790\n13433 15835\n3560 14729\n8939 14744\n125 3364\n2977 4987\n8923 20224\n9357 17764\n1155 12260\n1983 11143\n7269 15909\n2632 9415\n4797 14045\n1167 10122\n2910 16608\n13575 16639\n13544 18567\n10508 15668\n2018 7216\n10966 11984\n12643 13810\n685 1101\n10412 19012\n1797 5830\n2029 13899\n1868 9991\n11234 18589\n7995 15268\n6787 13017\n12643 20190\n1223 2954\n577 19572\n5854 16338\n18581 19506\n2395 8247\n7980 17777\n7295 7883\n8281 16671\n1513 16862\n16742 16775\n441 14711\n4873 16754\n701 1408\n2881 18912\n6959 12463\n7735 14812\n376 4404\n191 16334\n2438 9179\n3830 14875\n4499 19339\n2661 15213\n16437 19033\n13457 18625\n1903 12479\n451 15251\n659 12548\n3668 19325\n15325 20197\n4820 18318\n1843 14931\n1369 10108\n10151 13650\n336 15753\n726 3038\n178 14069\n10387 19463\n13629 17154\n5787 7743\n5349 7922\n4480 13590\n8224 10391\n12212 13593\n1643 16771\n5674 14445\n2381 14194\n336 16870\n9071 9286\n727 1385\n402 17695\n8818 13647\n3887 14954\n4909 5452\n3640 16610\n1754 13788\n5310 19667\n3430 18589\n6250 20201\n10634 18917\n11601 12817\n2586 8562\n12337 13741\n5468 13783\n71 10699\n935 14941\n621 2450\n3141 9540\n8286 10775\n16762 17311\n4622 10926\n6988 14195\n11212 14000\n6214 9358\n8126 19590\n9315 10255\n3261 8578\n9325 13961\n582 18560\n5463 16031\n5696 11256\n15588 19187\n200 1182\n1143 15641\n14205 19566\n7537 19293\n13699 19777\n881 18792\n524 5837\n3910 14743\n7288 19362\n14144 19396\n2444 6213\n1812 3481\n6923 9628\n223 20270\n8335 15595\n205 5466\n8743 12529\n19189 20162\n7659 8847\n3507 5573\n1984 18065\n3244 17148\n15098 18410\n15018 16279\n11216 18941\n3083 19040\n4199 4759\n2211 3306\n7458 16248\n1776 6442\n1764 14446\n3213 19928\n5438 17367\n2403 16493\n1414 16473\n1619 15484\n6583 12401\n1222 17752\n13884 16873\n5892 6811\n1020 13498\n10780 16325\n12784 17039\n6290 12487\n15972 17498\n739 8876\n4446 18158\n13400 17578\n3950 9643\n13370 20028\n1211 12297\n14495 16248\n2323 5888\n5105 13914\n5295 17245\n9965 12710\n8432 11659\n7968 19000\n4196 17189\n10624 11917\n9017 12554\n2059 12121\n9799 16443\n11929 12720\n1874 14918\n3328 16698\n1372 19611\n6340 17410\n1449 15664\n13537 13547\n10279 11922\n1502 7389\n1380 19729\n8149 17986\n3267 9214\n4587 9432\n3656 17138\n14473 18413\n6345 10688\n1924 13236\n7996 11127\n14728 18844\n453 3825\n18041 18853\n6634 8911\n16268 18392\n3153 16912\n4842 9007\n17192 18327\n13073 15562\n6910 10075\n6698 15366\n3670 17800\n5051 15098\n12778 19204\n11423 20029\n12150 14269\n3633 9989\n5087 7319\n10356 12296\n702 6724\n8898 13415\n11289 13562\n905 15749\n8550 19567\n5666 16142\n9855 19550\n12765 15463\n8140 12853\n8204 14930\n308 7025\n5089 16412\n16799 18831\n8456 12292\n4123 19575\n4644 16262\n6645 17337\n4523 11642\n2861 11128\n4768 8317\n1232 17103\n4366 5347\n12961 12989\n1516 7847\n7528 11628\n7351 13787\n352 13064\n1800 14845\n4603 4686\n6278 7290\n1142 13059\n12446 17873\n9606 14017\n8874 12572\n10145 10828\n1931 7800\n3618 14802\n979 14762\n4882 6870\n1521 11194\n3888 13970\n1705 7003\n2752 11145\n7524 17824\n4090 15718\n14994 17614\n4073 15079\n1744 12473\n4471 15766\n11705 15071\n14940 18490\n8590 12100\n5739 20176\n3217 8092\n5546 14462\n1494 10335\n9032 19738\n14717 15578\n3171 6816\n740 6511\n2738 14136\n5115 14748\n1138 4350\n9018 13953\n9572 11343\n10468 18699\n17256 17285\n1735 2839\n5382 12608\n918 6787\n8772 13806\n9641 11505\n1406 18398\n13208 14342\n6627 18000\n3934 18190\n4874 7602\n8903 9329\n10924 14072\n3366 11931\n13826 18036\n4686 13790\n1263 17261\n9878 11694\n8127 18140\n10839 14443\n6433 13518\n11599 15214\n15588 19182\n8988 15266\n4649 20243\n12148 12803\n376 14627\n2798 11098\n7722 8984\n10845 18205\n2365 15663\n8516 17428\n10124 13158\n15838 18049\n3135 3672\n8164 12773\n5031 11514\n201 5618\n3152 13619\n12843 19415\n13205 16046\n5593 17421\n8723 16722\n13370 19905\n11163 13935\n4061 5332\n6043 7139\n1880 10817\n569 15860\n8631 12257\n7127 10051\n7831 12807\n7544 7558\n1324 19574\n3142 3522\n10488 10703\n4074 9155\n5930 13926\n4544 17643\n11675 18608\n8507 19780\n3509 15807\n4351 5842\n18258 19119\n1151 3120\n11073 13097\n3388 5240\n1215 16538\n2703 15157\n631 1170\n7086 19241\n14040 19268\n2435 7240\n3602 6885\n15928 18968\n5581 12268\n147 6565\n2329 14820\n9065 14172\n437 2382\n5588 18833\n7908 13732\n5550 6948\n10307 11763\n10992 18008\n6173 16442\n1072 10393\n7021 7833\n5561 6418\n7603 8585\n9118 14802\n1385 2071\n5467 7023\n1909 9750\n4623 10007\n13469 15461\n3805 19002\n905 7767\n1200 17800\n3525 14724\n9035 14072\n10551 17149\n6336 18490\n5477 7149\n8053 15994\n11040 11224\n12001 19451\n5189 7742\n2681 4821\n19208 19550\n10558 12830\n5806 11084\n5456 10289\n11526 20019\n7560 13245\n5340 19938\n4459 13544\n497 6873\n2262 17324\n12790 12874\n5564 10447\n666 10091\n13617 16934\n2797 18023\n8091 18010\n8208 12696\n2953 17381\n5423 9713\n3656 4240\n1222 7297\n2585 16230\n6537 18528\n10010 13450\n3598 17835\n10298 14059\n1463 7872\n9481 17052\n5199 13116\n5628 7856\n1849 6534\n8286 9278\n16312 17160\n9837 17606\n14849 14879\n12774 13549\n3629 12251\n6927 17021\n2 7697\n1065 15438\n1846 4522\n2196 17200\n17829 20036\n1140 7563\n3510 4766\n12100 16042\n8619 16945\n603 2971\n8267 10461\n7371 14890\n820 1479\n1267 9962\n5186 5456\n2187 4501\n5949 18016\n2599 17607\n4209 16716\n3290 10248\n5844 14599\n7382 16638\n13503 16156\n1700 1839\n928 4508\n476 12752\n7443 12160\n3872 9653\n1595 19807\n6075 17050\n991 11948\n5240 14931\n225 16312\n14206 14323\n16661 19360\n8503 11386\n11210 18136\n11518 16655\n12978 18374\n6889 18514\n7232 12155\n12148 12471\n12084 12466\n12323 18084\n3558 9967\n6349 7098\n9316 19617\n2009 5435\n18972 19690\n1383 14483\n13789 20261\n9029 17841\n13816 20140\n17160 18150\n4752 7005\n574 13379\n9332 13697\n1527 7502\n11170 18979\n2902 13736\n8030 16853\n17970 18804\n14469 19792\n8281 13148\n4804 13516\n12464 13201\n12012 13104\n3438 4125\n4957 5691\n11536 17857\n4635 11748\n947 10113\n853 11126\n5997 9882\n10951 17680\n7576 9564\n12080 12403\n3952 20026\n1429 6550\n485 17997\n3204 12703\n624 12251\n9253 20248\n14796 19358\n15040 17074\n2794 14382\n11678 12894\n10147 10826\n2337 2548\n2507 2894\n471 10640\n17993 20149\n366 4166\n4153 20076\n1892 19829\n3066 10180\n1628 20265\n9587 19736\n1673 19158\n9683 15561\n13428 18534\n14954 16313\n2042 8883\n9785 15100\n702 19844\n6590 14873\n11296 13089\n8164 11993\n10282 15762\n4399 15503\n272 6770\n3911 7430\n647 20194\n7948 15660\n13723 18388\n2138 18061\n9195 10528\n7210 15128\n2556 6911\n4023 19304\n12507 19705\n16494 18439\n14283 15503\n10696 13963\n7907 15370\n9125 13204\n4726 16858\n12598 17423\n10399 17615\n18147 19365\n21 11425\n9945 19407\n4935 10537\n5477 7592\n10761 15752\n9156 15435\n10214 11883\n1876 20058\n789 8282\n11399 14383\n17194 17525\n8043 18841\n16436 17387\n10598 16661\n2811 18933\n12654 16540\n2744 18844\n6642 9597\n9039 17026\n5734 17718\n7687 9630\n11533 17637\n11518 20181\n11943 14990\n349 5117\n5400 12883\n7836 17621\n1178 13234\n410 14394\n17475 19869\n13240 17780\n11183 14843\n327 16109\n4626 20209\n7099 17933\n17525 20055\n3504 10455\n1186 16873\n4493 9813\n5607 11685\n9288 17545\n7866 19621\n879 14514\n2018 17974\n5890 18850\n16838 19879\n7693 15202\n6169 7451\n8375 12457\n10474 18211\n5981 14878\n7281 20034\n7982 18550\n8583 19688\n8144 14238\n8102 16550\n12837 19956\n5498 9039\n860 14671\n2889 12204\n4823 6966\n12565 18580\n769 6251\n10426 15605\n18165 18291\n12026 12219\n13807 14684\n8533 13152\n10759 12496\n588 12693\n6711 13468\n8710 18394\n135 18683\n5481 15187\n4184 13193\n8538 16545\n12116 16956\n4020 16775\n8582 17624\n4687 15483\n1128 7897\n4340 6777\n1293 5387\n12845 13823\n4522 12574\n5434 20251\n10483 16692\n1292 11087\n12521 19368\n11447 13800\n2423 5078\n1400 15769\n1947 7100\n1704 16384\n3398 5757\n5239 17498\n753 14823\n5408 19882\n3035 7942\n15059 16095\n9726 19600\n6280 12653\n581 9920\n16278 19181\n9498 10150\n6772 12208\n7979 9211\n2362 2961\n6111 19601\n1789 9603\n2658 18231\n1598 3337\n2693 16801\n11111 15759\n385 19263\n5983 16657\n12757 20152\n5891 16773\n14044 17467\n6498 8617\n11701 15385\n4655 9633\n4647 7024\n602 3974\n2838 6307\n7297 8684\n9651 11526\n4889 13884\n5130 10766\n14714 17110\n7305 14035\n5316 10821\n4659 7774\n8270 19360\n2425 12269\n7766 16534\n3702 9752\n9243 15303\n10859 18213\n3944 15369\n1598 10081\n13001 14003\n11184 17992\n17316 17580\n3799 6106\n9647 18590\n7752 10643\n2793 8349\n8344 14043\n16363 19458\n8641 11070\n7768 18269\n9748 19341\n4422 20197\n3982 17035\n109 18472\n10081 12654\n10229 15695\n2293 9980\n178 7618\n529 11363\n2562 14510\n733 4144\n9050 19492\n2617 17326\n5316 11085\n10236 12721\n7211 12202\n13567 19028\n12019 17837\n3373 18100\n10235 13207\n3478 8189\n3528 6096\n1641 8952\n832 4739\n6020 6983\n14547 16576\n8689 11083\n12652 16265\n7254 11378\n7219 14706\n951 4598\n1833 10184\n980 7589\n1304 13167\n3763 7487\n5652 12087\n4741 6004\n14625 15377\n17304 17936\n11187 20271\n13064 13758\n217 15891\n7367 15596\n1676 3918\n5654 11751\n8981 17959\n3536 16140\n6626 7734\n2935 15806\n7212 16799\n8704 10650\n13209 18490\n3188 8417\n9042 17111\n14412 15599\n14807 18796\n3000 5513\n3455 9397\n4985 12694\n12498 19713\n1637 2831\n9279 15536\n885 13834\n11005 12738\n1105 17477\n7893 19233\n4520 19316\n1104 3217\n9980 20033\n3580 7193\n3719 5605\n1141 2591\n7361 11077\n13566 15770\n3436 4587\n174 15632\n8065 9143\n4045 7243\n8762 10756\n85 6825\n9895 16856\n13445 17373\n1026 10602\n1482 14368\n2239 18363\n2087 4722\n8716 14835\n15452 18503\n723 5079\n1435 16139\n8152 19984\n5045 6841\n14110 16845\n8243 13595\n1263 7202\n4087 5026\n712 981\n222 16472\n3319 11801\n12244 13066\n1593 12926\n13763 17723\n8334 16570\n9735 14820\n9677 14781\n5539 6429\n1850 7353\n1720 13533\n8835 19868\n2978 9425\n18016 19664\n10859 19595\n705 10974\n4084 18988\n4383 14842\n9537 11379\n6541 8155\n8945 12338\n5592 5930\n16274 17432\n4152 9858\n13994 14249\n4069 16631\n6470 12779\n14736 18130\n2831 19915\n6883 18016\n1348 12325\n3796 10209\n2087 6474\n15947 19095\n7717 9576\n13583 18659\n4280 18427\n3821 13948\n9044 11859\n3956 16108\n7158 9458\n4755 6329\n4913 13665\n9743 13242\n2784 13191\n3265 13541\n15884 19952\n3340 13631\n4789 18083\n5532 18345\n6078 10234\n6181 12646\n7207 15028\n3376 8595\n3182 4342\n2031 16880\n17302 18883\n401 6736\n5913 18033\n1372 5020\n4663 15184\n508 13342\n11029 12207\n692 15234\n5425 6368\n7642 8819\n6127 7049\n7535 17363\n4864 14976\n1401 16277\n5616 15544\n3168 15012\n10590 13618\n14342 19083\n1077 6179\n12035 14223\n5096 18059\n1822 5340\n5752 10890\n677 13344\n496 11120\n9582 16625\n7455 14362\n1416 15199\n8591 19659\n11441 15719\n10580 14590\n2539 12853\n137 1401\n12494 14318\n1907 11313\n786 6538\n6846 16296\n15569 16309\n4290 19928\n3409 10868\n13936 19924\n15767 17014\n12211 17352\n3528 19047\n6250 17879\n16868 18927\n3989 4551\n6154 11789\n2021 5160\n2481 8769\n5583 6525\n4494 19111\n2228 8409\n4587 14715\n14159 15154\n14063 20274\n3098 11899\n6371 8252\n99 16470\n5820 16712\n17736 20072\n876 13254\n7688 17582\n7078 18452\n6130 20049\n15038 17808\n11571 12451\n951 19291\n5060 15688\n1376 2921\n6385 14159\n1273 10903\n2486 4519\n10131 12260\n579 17838\n4840 17620\n2161 6578\n17744 20149\n5476 5571\n16361 18825\n5821 13443\n9190 14326\n12277 15937\n11160 13320\n10547 17848\n855 17320\n10875 19481\n9592 18002\n14470 15511\n13849 16677\n14032 18452\n11143 18098\n16480 18167\n12148 13596\n6736 7227\n4430 8690\n7899 19931\n10307 12096\n2234 13405\n26 11340\n16439 17519\n2040 4203\n12345 12488\n7798 17868\n6872 8080\n3099 9366\n13490 15372\n7806 12682\n10755 15200\n11116 19172\n16775 16843\n7822 9034\n833 5424\n11853 13166\n1874 4512\n281 15822\n8481 8572\n3531 12429\n3237 3308\n13241 14857\n1067 5979\n3279 5112\n6518 18850\n11998 16833\n2664 4908\n3095 3432\n10967 16764\n8882 19637\n3665 4564\n2219 15997\n15598 19101\n9137 19021\n6192 12899\n4179 14266\n648 11937\n18523 20131\n3863 16272\n7125 17406\n7878 13312\n5815 6679\n3337 7915\n10900 12468\n2628 8552\n1209 17691\n2635 3919\n12867 15597\n4506 11637\n4347 19953\n3046 3910\n3950 8404\n13517 17886\n2959 14983\n77 19405\n488 11642\n2007 16768\n11084 14357\n4272 16012\n427 5221\n8219 18930\n6425 20084\n16381 17676\n4661 5749\n4403 19112\n8802 15365\n5544 12660\n7706 12871\n4638 6000\n1313 4546\n3037 6461\n1540 16689\n857 9232\n171 18475\n6763 13632\n8569 19522\n1890 10755\n8703 17615\n4133 10715\n3823 12591\n3392 4323\n2282 13966\n16851 19496\n7981 17511\n5550 8076\n987 13679\n16920 19598\n5778 11400\n2548 19379\n3778 7115\n5960 19416\n4112 10781\n10449 11840\n4316 13285\n4774 10753\n4958 10642\n1096 1368\n4758 12249\n9562 12984\n713 12735\n13108 14341\n3425 3766\n42 16409\n1222 18768\n2539 19751\n2054 11039\n15718 19516\n2571 15684\n13757 17360\n7811 9881\n5977 13826\n3650 4894\n3471 8891\n3416 5238\n9035 13873\n5012 19918\n6052 9015\n10956 14109\n7829 16332\n7949 10559\n2372 20018\n7428 15149\n5515 12917\n5196 18628\n1968 17966\n3786 10606\n3186 11162\n273 1151\n11364 18802\n11054 19341\n2168 12289\n9467 15065\n3442 15160\n4019 11452\n9646 15929\n274 5182\n10845 17313\n3721 16020\n7208 17019\n11602 13467\n5459 14306\n11279 11475\n7139 17084\n3313 7293\n12431 14564\n6792 16473\n14383 15628\n1026 8643\n8195 8495\n7582 18876\n5119 9044\n12010 20217\n4738 11901\n744 9279\n4378 12214\n10949 17188\n7611 13337\n7897 13150\n9592 17852\n7129 20110\n3116 15812\n1880 10161\n4244 8129\n3959 12169\n17907 18763\n1300 16099\n13079 13204\n5425 19161\n8845 9652\n9649 10380\n4783 12635\n358 1054\n8395 15873\n11869 19711\n699 8103\n14222 15103\n5842 18255\n8124 13193\n12265 13362\n557 6975\n10448 15812\n7982 18998\n3468 5965\n2862 13302\n8247 13677\n8292 16608\n8924 9192\n5861 12274\n106 4988\n7000 16209\n12439 18900\n5285 7314\n9224 13337\n617 13541\n8632 17400\n1043 14037\n1519 19180\n10579 15740\n7656 9659\n311 9424\n239 17062\n7327 11693\n18156 18883\n8973 18034\n12476 13707\n1917 2828\n4746 16182\n5774 14991\n7694 18143\n6319 19034\n4198 6336\n126 3067\n4681 19933\n12427 12915\n2897 17525\n2264 11907\n12930 15387\n3351 8775\n11725 16172\n2661 9358\n86 8192\n10333 19806\n8297 11448\n2554 12440\n1340 19475\n1604 18183\n5099 7199\n12294 14017\n2918 19759\n6795 9882\n982 20168\n926 1992\n12805 18279\n11501 19283\n3664 6378\n12730 14857\n5873 17982\n10420 10492\n7535 16752\n822 3997\n8148 18497\n4478 8250\n1401 12325\n1655 11381\n3133 5051\n7770 19020\n19062 20025\n10251 14932\n5294 9428\n2985 7358\n12137 19331\n6144 14260\n10651 18414\n179 7266\n707 18536\n6581 19058\n9557 19129\n3174 7132\n16307 18695\n17342 19338\n7936 12277\n3577 13957\n14319 16596\n509 2983\n4928 9002\n6296 15362\n4347 9379\n283 9866\n7128 16431\n5430 17842\n1756 8707\n2664 17618\n8527 8836\n2039 16988\n16226 16373\n6657 20092\n3484 10683\n2834 9058\n1131 6998\n6951 19972\n99 17006\n3582 9881\n11764 17066\n8917 12702\n2012 13813\n686 3758\n6451 19737\n8092 12501\n14931 17040\n5917 13480\n3899 18822\n3041 7150\n590 19013\n563 13883\n14572 18675\n12600 15917\n746 14346\n4562 12311\n8378 19686\n17394 19039\n600 17004\n8160 15074\n12263 18928\n2608 3002\n1040 12125\n7353 18566\n8709 14466\n3012 16305\n475 15873\n1681 12516\n5726 8837\n1477 17441\n3724 13064\n3551 6314\n1785 12543\n19975 20177\n4625 13771\n8574 8713\n8212 17104\n12553 13726\n748 1874\n8850 12124\n7864 19974\n8170 14712\n5922 20095\n11650 18439\n3302 5850\n7755 10451\n3024 4758\n4543 19945\n5101 17107\n10569 12106\n253 693\n1061 3789\n6478 16585\n4668 8683\n2266 4409\n11370 12659\n14350 19615\n10199 15424\n13124 14347\n4140 10560\n16755 20058\n8503 11496\n12088 15864\n1839 16026\n924 15160\n14863 17714\n2329 13027\n2075 19167\n545 14306\n232 1413\n14366 18175\n8967 16746\n1206 9259\n4436 7586\n3577 10806\n5888 16010\n10003 15061\n12261 17034\n8422 17690\n10903 12039\n9834 18970\n3247 4754\n2619 15212\n13417 13726\n9441 13339\n6237 14039\n7197 14722\n1645 8381\n12321 14132\n4004 16777\n732 9092\n4582 14712\n16734 20014\n6576 13621\n5280 13387\n413 12308\n6666 16413\n8002 19923\n16065 19188\n190 3569\n3011 12481\n4820 10215\n3876 15920\n11014 13365\n11523 15389\n14140 15241\n18840 19790\n487 15250\n5329 5490\n4351 9423\n2340 10895\n1565 6896\n5280 17488\n859 13080\n388 20266\n2653 18129\n11820 18120\n7809 16792\n13874 15925\n8349 14019\n4077 5542\n13897 15106\n15834 16340\n6206 6876\n603 18097\n12753 17538\n431 11028\n1256 4779\n16787 18994\n3177 16703\n2121 14384\n7004 13427\n7091 10854\n4922 16112\n10929 17665\n7794 10036\n6701 10497\n11919 12050\n9541 14827\n835 10182\n12034 14318\n7413 13985\n2965 5118\n1307 10217\n2255 11899\n2691 18047\n16998 18922\n14400 19014\n2810 14405\n5080 13963\n5597 16911\n4041 16034\n5299 19700\n1211 18580\n13001 16396\n2781 9553\n1492 5889\n2885 10776\n951 15517\n6623 7620\n5393 17052\n6558 15802\n1547 16239\n18226 18480\n3341 12759\n8441 11345\n15747 16372\n6184 12171\n6552 19280\n5924 15009\n5966 19004\n2545 15373\n14362 19390\n1603 18224\n2941 18678\n16527 16690\n4913 15566\n2925 8105\n3630 5893\n13708 19482\n4707 9430\n7465 8997\n2503 4021\n3092 7356\n1589 17096\n9076 10136\n947 1104\n4320 12048\n7770 9662\n4693 6506\n11096 12285\n5491 13924\n9059 10926\n9893 18521\n6218 12705\n1978 19071\n4669 7216\n674 9386\n4157 14399\n12394 14116\n8217 13931\n4555 16622\n7904 10363\n7842 14314\n3294 13827\n8133 12856\n7585 8894\n6361 9835\n3483 16005\n2730 6803\n3042 12418\n498 5652\n7264 16284\n8950 9575\n94 3568\n11347 18441\n14643 19879\n5910 10450\n2456 19844\n3444 6950\n12457 12794\n5971 11897\n15102 18587\n11195 15267\n7758 18886\n9271 15472\n3681 19879\n9589 16421\n18673 19386\n1358 13367\n518 3409\n15731 17078\n8939 12534\n15374 19726\n538 6156\n104 16179\n11757 15236\n12126 17893\n7573 11462\n1722 5323\n4143 9840\n12051 19968\n7826 16744\n6991 11536\n4407 11015\n14666 17351\n12544 17355\n11209 14064\n10106 18586\n12941 16050\n8435 8565\n5475 19460\n155 15141\n5886 5968\n2755 14288\n5955 10936\n8132 16760\n8799 14302\n9893 17022\n7167 9731\n6987 16182\n3603 14762\n2981 7949\n8789 19425\n1460 4671\n1841 15473\n12744 18418\n2631 17474\n3619 15536\n376 2148\n6989 16382\n3843 19995\n9932 19003\n6533 13676\n4413 16189\n7189 14833\n8855 18762\n13345 15142\n15572 16930\n12369 14644\n7596 13199\n5751 8610\n9048 15326\n2140 7319\n9797 12658\n8897 11756\n7859 17708\n1130 1503\n2691 18114\n2339 14592\n9973 18232\n9473 19386\n124 14639\n7483 18166\n8231 11544\n6768 12510\n9231 10578\n4096 12532\n4155 6279\n7378 8945\n2107 14666\n382 2131\n11308 18100\n1769 3746\n5335 7702\n9287 18868\n7927 12009\n12706 13661\n4979 19437\n7471 13294\n10701 11346\n2046 11130\n5894 19436\n18 5004\n11883 19794\n4828 14719\n7819 13103\n235 4683\n7772 12791\n7726 8578\n9168 10832\n388 16802\n1795 16286\n7170 17970\n6579 10623\n2940 9810\n15890 18370\n1392 13643\n12288 14527\n6051 13815\n6411 17510\n7237 12464\n9626 14379\n3738 4690\n11507 15006\n4556 4962\n2200 17475\n13520 17911\n8427 17559\n2173 16700\n4078 14601\n8492 11065\n2716 15802\n10004 10667\n6701 13908\n1423 15786\n8644 12086\n674 18741\n11083 12028\n3328 10930\n8515 14997\n7342 15224\n15175 17346\n3856 14863\n4806 5876\n9601 11445\n12689 19189\n7123 16891\n3829 4386\n3091 6060\n2671 14313\n1161 16207\n4913 13741\n3591 9045\n1449 5291\n9371 13729\n13152 16564\n16 14165\n17163 18580\n9510 10580\n8154 18485\n3224 13918\n12033 14325\n1931 4728\n6021 8813\n10698 15527\n2252 12439\n8832 18518\n5677 18771\n6286 16280\n4573 6235\n5174 19490\n7676 17982\n2891 13302\n4863 8198\n980 5944\n6856 10021\n5231 14646\n2568 2916\n11655 18399\n6718 17127\n2925 10050\n8749 11159\n1161 2493\n2047 6287\n3232 4762\n841 18675\n11078 19621\n9369 11111\n13518 19437\n7087 13136\n772 1254\n8741 18440\n9168 9903\n9181 11430\n7797 14785\n2459 15381\n12885 15420\n391 19751\n10575 19560\n77 4417\n8834 13649\n3039 16958\n633 3079\n12194 15580\n11957 12819\n6082 11308\n78 11361\n3611 12537\n2152 2610\n10659 14941\n12520 17911\n15514 19013\n11517 16179\n3112 13172\n7439 9660\n8244 14285\n3961 6239\n9068 15944\n8992 10950\n7741 16245\n10648 17318\n7547 18221\n5141 8323\n4545 8072\n6595 6689\n11855 18660\n5708 14989\n437 11404\n201 15271\n10558 14903\n337 13889\n423 15599\n3498 18567\n9346 11621\n7651 8105\n1230 18865\n2270 16522\n3632 6368\n7026 17465\n830 7643\n9911 11540\n16019 16957\n4432 7398\n6435 9915\n10752 11526\n4957 11836\n9224 11697\n9057 14097\n17205 18825\n7072 7394\n115 11629\n12930 18458\n12957 17338\n5148 18434\n2156 7681\n14532 15914\n2129 16070\n3156 4758\n1977 5424\n3255 5593\n18025 19119\n1394 18616\n4005 18413\n2383 10886\n3080 3158\n3025 16651\n12735 19553\n2504 10519\n4015 15706\n14014 18842\n13405 19991\n4230 16414\n7207 19267\n16342 19653\n10820 12006\n8010 13720\n4405 16075\n5238 19714\n14629 15074\n1046 18066\n1340 16986\n630 10976\n2914 7651\n7881 12662\n14530 17350\n8088 15509\n503 10274\n10350 18708\n2418 2685\n10140 15444\n1850 7311\n8822 19719\n5020 10817\n13960 17673\n11675 12174\n5752 12551\n7891 15840\n15865 18797\n8055 14424\n3090 17804\n6360 16196\n6428 18232\n570 885\n10359 10496\n5326 17041\n47 19129\n7785 11457\n9266 12271\n4511 19061\n2850 7858\n13265 14834\n1268 4637\n15819 18599\n8104 17254\n10161 19969\n5133 19616\n10162 15242\n13410 17295\n693 19696\n14140 19997\n1022 13942\n1271 3846\n6034 17563\n189 227\n15295 16130\n9479 10125\n3590 15330\n11162 14366\n3089 19185\n13704 15828\n16697 19031\n15372 20135\n4886 6619\n5090 5901\n4697 16772\n7057 8225\n4864 5238\n8731 9198\n18573 18839\n13268 17618\n423 627\n10596 14757\n2028 10521\n5038 15329\n3718 15904\n18669 20152\n5258 19281\n6707 13013\n9159 12651\n14787 18531\n6985 9378\n16486 18972\n10382 11679\n1312 7846\n1845 17656\n2622 12948\n9536 15330\n9672 16282\n2409 2657\n2130 16267\n6115 14007\n2252 4325\n16047 19061\n9346 13965\n6122 10168\n58 15504\n9780 11667\n685 15743\n14517 15410\n18403 19087\n6022 18628\n9220 16643\n530 3893\n6842 10183\n1115 13429\n167 10891\n8105 8453\n6819 16571\n5846 16990\n3590 3987\n12906 20106\n4755 16235\n521 19857\n11586 14945\n5850 11412\n7372 12460\n13041 15780\n4365 11277\n3473 9604\n11697 20003\n2932 10274\n7485 18935\n4864 19751\n4557 17483\n5002 15239\n1670 4414\n5689 6142\n14539 15957\n850 18301\n11878 13469\n12194 13767\n5250 5862\n5694 12116\n707 5216\n6827 8913\n11437 18204\n9372 18252\n1534 9910\n6556 12929\n9870 18072\n13581 16336\n3872 15029\n17743 18989\n2949 3036\n3176 5087\n2376 8121\n5787 19819\n247 8681\n9099 18540\n3898 8035\n13549 13759\n557 3362\n515 1742\n9197 18735\n9320 17681\n4059 6586\n11009 11440\n14404 17835\n8901 14652\n9975 18943\n679 19086\n4899 15034\n6641 12163\n2979 17380\n16900 18182\n1166 15253\n16659 17419\n9927 18285\n11214 16712\n13134 13766\n10935 13960\n5676 9030\n13615 19060\n8226 12330\n3731 8112\n6539 14389\n12739 15332\n357 2887\n913 12082\n1042 15037\n10351 13193\n9686 12651\n1206 11617\n6110 11273\n3128 7215\n807 10200\n7792 18070\n3281 15276\n2019 12517\n3719 10963\n4740 7179\n14660 17639\n623 7351\n2891 13912\n15150 19153\n6401 10340\n161 15699\n9363 19053\n8215 9244\n7572 16652\n5264 16883\n1697 2818\n7613 18961\n13608 14407\n9940 10435\n5955 6950\n5243 6946\n16632 19859\n391 17774\n2572 17114\n9115 11040\n10133 18411\n14526 19581\n6530 20000\n1286 12933\n3989 15166\n2157 6570\n17593 19725\n3866 5271\n9143 20193\n4917 15586\n1372 18114\n7686 15798\n6025 16281\n4317 18621\n14438 17799\n1812 2262\n3302 7695\n5397 9357\n13835 18616\n9047 14478\n4044 11469\n562 17954\n12954 14899\n8768 18604\n645 3567\n896 8456\n797 17551\n9686 19518\n14919 19686\n4549 14863\n4861 8432\n9655 12116\n963 8179\n1139 3158\n96 8372\n16598 20087\n2418 2570\n4758 10232\n11619 16281\n5916 17113\n15394 18577\n4468 5440\n8981 9057\n4275 18173\n8073 12283\n14665 17013\n5524 9264\n5419 13956\n2875 4951\n5119 18776\n460 19219\n401 15983\n245 16414\n1637 17293\n11419 14623\n856 9173\n4331 13475\n6735 20037\n2920 19867\n2309 17530\n3052 13650\n4259 17904\n5682 16659\n16050 19638\n11549 17829\n578 1529\n15323 20137\n4331 4716\n13961 16180\n7729 10060\n3981 7927\n6389 11647\n12524 15754\n9816 14206\n9072 16621\n9311 10960\n12091 20178\n7614 8064\n10959 19559\n861 16647\n3050 15428\n11398 12458\n1786 8912\n9228 13617\n6737 10685\n8523 19049\n16694 19179\n7357 17941\n13380 19028\n8033 16004\n785 10313\n15097 18812\n12209 19759\n598 19928\n10106 19891\n3690 9135\n3113 6982\n210 19742\n2461 6848\n603 7567\n2634 7532\n5416 14247\n4017 12622\n7294 19646\n4473 8173\n1301 10885\n6198 16172\n7161 11148\n79 19910\n8042 11561\n9017 17917\n2692 9085\n1610 17217\n10851 16912\n13445 15734\n1013 10859\n8664 17181\n1881 17191\n2725 14749\n2231 4297\n1572 14991\n15373 18078\n1281 12294\n8811 15274\n8421 16052\n998 9337\n10920 14160\n10370 19475\n11653 17771\n9284 16347\n2719 14878\n7127 10066\n7914 20272\n6654 10964\n5893 7473\n4753 17214\n9106 12130\n7537 10763\n6593 11359\n12507 17016\n11334 19220\n5342 6528\n15115 16322\n10670 15539\n6461 18360\n5142 11577\n5579 12699\n667 15356\n4480 5960\n10339 12162\n564 3763\n5351 11937\n11391 14070\n9543 12322\n6063 12026\n16020 19429\n872 16723\n11555 12335\n15518 16733\n910 9654\n8124 19060\n1680 16320\n744 5172\n9839 11340\n15956 19221\n10069 18236\n7748 10322\n12935 18436\n2459 14632\n7436 18683\n7767 11581\n7044 12905\n6700 12932\n17037 17938\n2293 10956\n2595 17767\n5012 5103\n14544 18048\n4757 13689\n8534 13937\n66 11329\n910 8404\n4711 7013\n233 17531\n943 7525\n2908 3939\n5254 17488\n2903 14723\n4518 15750\n9500 9837\n10900 17607\n9209 9868\n2721 16184\n4941 9986\n17912 18683\n14309 18680\n8490 10249\n487 18487\n17751 18495\n2485 14801\n2537 12422\n731 15184\n4521 12848\n4723 14236\n10775 17373\n13726 16196\n3230 10252\n652 3445\n11389 16012\n5589 11786\n5557 9610\n14462 15621\n7498 14640\n2729 19257\n6267 19571\n8898 17994\n6445 17171\n3286 9489\n8958 20245\n14240 19780\n6004 10226\n6080 11694\n6451 9329\n3164 3353\n16409 17279\n12857 18063\n9566 10318\n7436 12866\n4605 12896\n6557 17115\n822 6022\n1655 6692\n5167 17735\n11883 15534\n5991 13526\n15901 16746\n4797 16742\n14189 16435\n12406 15676\n3428 18488\n11357 19732\n7983 12035\n6408 8473\n8528 16193\n14611 20009\n13306 19310\n8382 10230\n15159 16402\n4139 8866\n7112 12266\n9830 12626\n8454 8965\n6063 15883\n3637 18936\n4520 11058\n4869 17144\n3018 6473\n2 8802\n7358 15175\n14896 17723\n14296 18244\n6294 8030\n19320 20198\n2413 14203\n7041 14976\n7294 8070\n5693 11445\n11296 17901\n16848 19126\n3828 11204\n1359 16778\n14684 18678\n327 7505\n9432 12985\n8418 14907\n5534 15073\n437 6509\n3599 6706\n3967 16789\n11816 12806\n9030 15967\n3190 10161\n7569 10761\n6689 15279\n1123 4729\n2329 12900\n6012 18049\n10087 19621\n7788 14059\n2763 13894\n7432 19822\n14834 17972\n2741 10109\n12867 13983\n6037 12054\n3538 9137\n12207 15005\n4942 5497\n11769 17921\n16541 18726\n9949 17600\n16366 18605\n12170 13473\n6634 18204\n820 13393\n2067 14359\n15232 15333\n10510 18992\n4037 12606\n3715 5945\n9641 10984\n12508 18417\n11245 14405\n11359 12472\n1390 2281\n14198 14833\n12581 16664\n15296 18536\n12817 16955\n6281 19512\n3194 3764\n10422 15165\n17545 19523\n1029 6543\n5465 16829\n3883 5340\n771 9630\n7899 8605\n6746 16698\n5393 16977\n5158 13772\n9872 18240\n4873 12910\n4524 13795\n6786 7765\n1723 10390\n16664 16677\n4307 7985\n5743 6525\n5975 14292\n14687 15263\n5861 14268\n9074 16404\n2328 8737\n11536 13518\n19105 19752\n476 2758\n14384 16333\n366 10011\n493 3338\n1701 20257\n9920 15081\n766 10699\n10386 19331\n17078 19622\n7347 19848\n3588 9744\n11640 18408\n10998 16575\n2794 12611\n3879 17865\n1747 17041\n3081 12775\n4935 18823\n10510 19630\n10098 18174\n614 15736\n7823 16645\n4497 11561\n13215 18924\n11038 14924\n7469 10213\n7987 15857\n18008 18715\n12802 13924\n793 4027\n3205 7793\n3868 17110\n247 5242\n12687 16786\n9462 15405\n14787 18905\n9786 11060\n14466 17791\n577 15461\n1370 13057\n5871 12648\n10176 15445\n11106 20211\n7446 17027\n4349 18378\n9108 10652\n9617 15123\n6701 13575\n16745 20275\n5576 5839\n1279 3167\n617 7541\n802 6821\n10806 17106\n577 3584\n11934 17132\n16282 16915\n3475 9571\n7122 9530\n9494 10714\n10120 15557\n10557 17318\n7745 15544\n6160 13969\n512 17962\n6372 7605\n6012 8716\n8962 19207\n8683 14674\n4280 15233\n12149 18063\n8939 13545\n15987 17397\n7872 18715\n8020 15631\n5285 15949\n8867 12694\n6127 13891\n7644 11363\n15238 20085\n1225 18095\n2351 7129\n18546 19114\n249 17790\n10975 13059\n3657 16853\n6093 14899\n10966 14328\n8402 10055\n5921 8095\n11910 15782\n2982 11324\n5361 6342\n4358 12219\n5064 6106\n15954 17007\n10180 10828\n602 16269\n1009 19665\n1540 18327\n7508 18884\n16002 18930\n1969 6522\n8513 16401\n7820 8870\n6771 9875\n7815 14781\n7117 17570\n19 18128\n4831 9765\n5126 12852\n7987 19284\n842 18983\n1598 2314\n960 15118\n2126 9857\n1284 10817\n4362 18366\n14839 16269\n1142 5354\n3582 5805\n5033 16122\n7251 17600\n7674 15829\n9402 12980\n7699 13728\n6627 8011\n10358 17723\n13840 16897\n3534 12186\n6708 12762\n6311 11935\n6499 8910\n4828 10647\n6636 12841\n11172 12708\n2008 7414\n19379 19699\n4187 5481\n4116 6498\n4785 16330\n1300 12294\n2743 19242\n12064 18364\n5239 12037\n16851 19257\n3667 3805\n1615 14979\n11547 17561\n6131 8960\n4538 5863\n3420 8511\n12515 17220\n7491 15624\n3640 8153\n12086 12474\n13353 13626\n12910 17122\n17859 18219\n8683 12766\n444 16053\n617 7254\n10498 14657\n4828 12752\n4770 12125\n3581 12324\n5875 15392\n311 15869\n7141 12405\n122 14257\n2589 2637\n16365 19320\n1238 17022\n817 19093\n8096 12787\n483 6321\n2219 2528\n14638 17099\n4089 15083\n9554 17525\n6264 10240\n2308 18914\n425 19790\n14708 19197\n1862 2175\n4448 9299\n10911 15860\n11871 12279\n8661 19580\n3734 10498\n2335 17963\n5832 19049\n3680 16304\n1538 18749\n2724 6701\n6702 11128\n3384 10111\n10086 19307\n1036 11730\n3415 9355\n2644 7753\n11385 16155\n3921 20176\n831 16432\n17978 19892\n9698 14805\n6062 8520\n257 9622\n2945 11937\n5212 17767\n816 11371\n5834 11155\n12872 16346\n1440 19218\n1194 20241\n18314 18610\n12356 17762\n5962 12438\n3490 17923\n7676 10157\n1461 8791\n8634 15842\n14683 17765\n9964 13983\n9497 13110\n9312 12141\n10063 10671\n16832 19012\n2372 18373\n5683 9689\n810 18188\n29 7134\n15351 17907\n12141 16515\n1285 17098\n7189 10898\n1161 2083\n7333 18168\n7575 11856\n8324 16274\n6946 13049\n3596 5067\n12353 18187\n3061 9576\n2368 5985\n9518 14532\n3351 6777\n6186 16287\n8659 11274\n8218 16808\n654 4588\n14609 16628\n564 2191\n3611 9873\n3482 15352\n3990 13906\n4148 5887\n5210 6432\n3001 14828\n782 19860\n7619 12170\n12 15439\n3811 20176\n4773 11120\n3107 17370\n936 1711\n9522 17892\n14143 14403\n12667 13826\n9250 14969\n4872 4991\n4666 16316\n1492 15609\n4011 19393\n2010 16917\n7453 10499\n1052 10537\n6232 9794\n10082 10748\n1724 12842\n14288 15606\n13930 16658\n3859 12777\n11467 19262\n3273 6831\n653 13852\n5671 19171\n4671 15993\n13807 18502\n9285 11722\n13402 17691\n5342 18369\n4770 4792\n8034 17839\n390 5607\n1331 7105\n6142 8341\n6618 7341\n3935 6032\n11109 15531\n8106 11116\n16254 17660\n2041 7947\n10248 14846\n6515 14614\n4776 9478\n2788 4317\n3684 4517\n3427 5892\n13275 20116\n2010 12477\n8229 11357\n1599 1969\n8955 9511\n13639 14722\n6687 11598\n4412 17866\n2486 20130\n4923 8544\n5803 6954\n12468 16184\n2566 5466\n13439 15821\n6947 12819\n7502 14484\n5009 19666\n121 3425\n4129 19103\n7589 15354\n2074 18655\n10666 11953\n10688 13618\n18460 18991\n13825 18416\n9785 20111\n14469 19281\n1954 8393\n5133 6972\n4767 18864\n13979 19352\n2167 10600\n89 90\n2004 8824\n9570 16953\n6687 17591\n12635 19077\n2292 4439\n6032 18514\n318 484\n7432 13938\n7726 13420\n3390 12474\n1811 7208\n7960 9659\n9933 14285\n2812 7203\n537 7777\n9342 17128\n5639 10194\n3778 9745\n3675 17034\n12552 20194\n1367 4842\n3128 13244\n4190 10146\n1473 2443\n16442 18290\n9158 16290\n24 6675\n7009 7779\n5626 10875\n6170 10551\n2214 7953\n6716 16370\n5833 8238\n16119 17117\n1839 3934\n7648 10149\n7571 19789\n12168 14611\n4981 5479\n1776 8548\n2804 4770\n11281 11895\n683 9576\n2376 17784\n7351 9176\n1922 8077\n5755 19270\n12537 16041\n1372 1458\n753 13545\n2820 8699\n4975 19854\n6053 14158\n8529 9824\n6071 10905\n9587 19294\n6390 16592\n8509 18103\n5538 16822\n4106 10319\n12344 13877\n9043 19207\n1089 1426\n10737 19912\n5767 12493\n4623 16954\n6578 13997\n2727 16269\n6933 16095\n11434 16467\n8799 12011\n5958 8386\n5399 6288\n1549 2004\n1123 15042\n6767 8711\n17856 19891\n9854 13933\n15287 16511\n16738 19177\n3074 17262\n574 18168\n9045 13775\n392 1732\n7602 9311\n641 8682\n18136 19852\n10341 17885\n15885 18910\n3379 9552\n1396 17092\n10829 18647\n1473 16394\n17902 19100\n4864 8294\n2210 5586\n1507 8381\n10102 13513\n167 14259\n27 10328\n7924 12647\n2216 2354\n5893 14884\n14605 17961\n3395 18647\n6528 11390\n543 18386\n79 4857\n7778 18341\n3467 18862\n6078 16426\n7311 12930\n8277 18155\n4868 16774\n53 14847\n1659 13319\n1069 4295\n8804 12740\n11778 12157\n14431 17440\n12117 17926\n3238 3344\n17572 18650\n49 11812\n10617 12139\n5967 13323\n4589 11023\n7277 13508\n888 6786\n9469 14478\n15705 17363\n955 10099\n2841 19048\n15955 19504\n16794 19515\n9969 17297\n5609 16519\n5952 7670\n1611 19300\n10778 12848\n10735 11328\n2178 7360\n16471 17424\n55 13402\n13295 18829\n11560 14647\n5300 17311\n10832 11212\n4308 8822\n5822 10507\n18534 19036\n5623 10711\n13663 18845\n1804 19541\n13840 18163\n135 7519\n468 16522\n10536 16143\n1668 8134\n2827 16564\n9978 16725\n10041 19448\n12096 14677\n3097 9701\n13111 18170\n2173 11797\n2792 5441\n3075 8651\n153 1109\n953 13227\n7332 15912\n495 12822\n5414 17546\n9668 18320\n9864 16022\n5575 18785\n5027 10330\n6139 10625\n7329 11307\n834 9938\n14008 19150\n4491 18859\n10998 14334\n6128 14835\n12598 17409\n13437 14539\n4275 9780\n5244 10903\n1053 3984\n9135 15721\n5008 11180\n11793 14500\n2442 15365\n1602 7108\n16357 18356\n11278 19724\n12313 18533\n16907 18642\n2139 18199\n301 909\n9639 12923\n8219 9704\n6597 11641\n13136 18729\n3579 9107\n4633 10006\n10970 19533\n16293 19612\n2085 8963\n5464 6708\n4016 19289\n5651 6989\n11254 16292\n8719 16210\n1569 18797\n5442 6176\n795 6626\n8204 18087\n6050 8375\n3747 13981\n10647 13899\n10436 14461\n4811 15127\n6735 9319\n497 18627\n2633 10217\n7690 16537\n2596 20258\n4920 20042\n8141 15315\n4819 12422\n15992 16050\n6522 10033\n13779 18692\n184 18473\n3572 7374\n2411 14495\n9039 16074\n1918 18339\n4396 15617\n1754 5310\n66 14070\n13216 13849\n2880 5265\n1868 13786\n14832 18740\n12227 16320\n2535 13131\n1337 7124\n12467 16711\n12378 14556\n8340 13436\n18330 19115\n1056 17358\n10154 14273\n14673 14883\n1441 17507\n16930 17212\n14039 14966\n4763 14353\n7584 19649\n2398 4368\n5824 9842\n4234 5799\n5408 8992\n16581 18502\n4689 18256\n12848 18993\n8442 19266\n1691 18902\n3462 11698\n7519 12494\n415 10020\n10556 10616\n7282 18021\n12901 15326\n12508 20058\n7769 15604\n5500 12171\n3320 19258\n14642 15486\n186 6517\n2208 17906\n545 1615\n5231 12314\n1907 4732\n5721 10624\n10081 15360\n7032 19405\n12139 12765\n12348 19752\n13242 14770\n1576 8148\n1862 3843\n10719 14045\n13483 17428\n13839 14050\n4673 16512\n3346 11747\n359 10344\n9341 11320\n10339 13863\n7754 15508\n9557 12235\n10279 11456\n8701 10064\n2724 12464\n2277 6826\n10755 13710\n816 10314\n12178 18509\n238 11288\n13695 19581\n422 15633\n16815 20276\n9409 10256\n11585 16764\n3358 8903\n13545 19078\n18489 18560\n7101 19881\n13345 18965\n8174 20079\n2614 3675\n8617 17503\n171 17954\n2685 19314\n7637 10423\n292 20277\n4535 10635\n8459 18486\n12353 14754\n1299 15509\n1031 3389\n1023 19413\n13106 14321\n2532 9898\n5120 7855\n337 2304\n8927 13493\n6651 20184\n3929 18377\n9714 19234\n2389 16688\n8409 19094\n5024 11662\n16385 18695\n4652 11383\n3373 10928\n1480 14234\n15947 16088\n14541 16209\n1893 3056\n10160 12715\n19438 19511\n4412 13412\n1444 11835\n1594 1867\n10037 16890\n14523 14863\n10089 18628\n9177 15967\n5281 11470\n5455 17386\n3416 17000\n7119 12775\n1475 12835\n9023 13645\n",
        "output": "301\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 88,
        "task_id": 541,
        "test_case_id": 21,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "86006 41493\n12116 50666\n33826 48398\n31285 71729\n9166 32794\n34728 39198\n38113 57887\n7185 20257\n44570 69607\n11907 82061\n38604 55269\n52558 82182\n3246 78509\n2103 20463\n8075 19870\n541 5548\n4936 33378\n39881 47742\n21941 29705\n55598 69654\n2397 61383\n46677 82131\n49268 78261\n47127 85680\n4845 68093\n35297 47954\n19686 69250\n46379 61805\n73173 80830\n1847 13540\n48807 61856\n36486 40014\n20128 43402\n25579 81606\n10630 27976\n866 5001\n3030 8622\n50508 54436\n10697 13135\n51597 84135\n35696 49464\n11126 77302\n15622 76733\n26851 72414\n3531 19677\n38123 52439\n31093 48478\n16984 27314\n59073 61546\n12785 15511\n41876 82587\n25507 62715\n39871 50360\n12554 27231\n32933 38764\n73794 79887\n38143 60557\n40849 65179\n9414 69415\n13246 30548\n10044 68542\n32811 34369\n55580 74896\n16713 32491\n26025 76825\n63398 78970\n14862 75860\n2789 61938\n22590 79646\n8741 53372\n60685 74130\n57451 63234\n1944 2446\n39982 54442\n18752 85544\n65543 67815\n16907 54374\n63174 66480\n30623 42677\n13654 73778\n18899 25183\n24566 61867\n6529 69018\n52955 65141\n65 30057\n13856 70025\n70265 84613\n69052 82247\n39303 53295\n9834 31201\n31033 47215\n17760 78008\n30991 66266\n18292 73644\n54925 77942\n57086 61621\n19711 61188\n33141 84471\n9195 18472\n8953 24911\n9760 59621\n32437 39407\n18191 80006\n21151 80373\n4999 69881\n43767 82858\n99 40441\n15317 79882\n4168 28201\n25050 79382\n37487 41178\n25092 28682\n37937 75510\n4581 11893\n2784 71781\n17802 80787\n10300 25970\n14618 51141\n30232 40057\n49815 85839\n11449 37924\n461 51858\n8639 15211\n4385 55025\n4095 82186\n26043 52290\n9282 73552\n56172 74052\n7644 61941\n39689 73641\n70935 77766\n24310 78286\n7944 31506\n33095 39353\n54922 56817\n37451 72336\n9237 42387\n17876 52491\n10244 57155\n42589 81447\n6263 29947\n7767 69450\n15548 36616\n25031 78640\n64220 70296\n55110 70712\n39779 84151\n35530 68446\n7165 81824\n56441 85437\n14548 49471\n37672 44262\n38518 43504\n8408 53301\n12370 77576\n40878 65949\n9267 77620\n19357 23386\n26309 73351\n14213 44329\n22601 67075\n37694 37854\n41054 54703\n21006 48925\n32005 85440\n35529 58307\n58371 85422\n39876 41463\n21325 66492\n19612 82301\n41874 47453\n16929 19701\n39780 70194\n220 24371\n2973 36343\n68515 80369\n20969 51886\n69852 83573\n27394 62548\n14523 21397\n36471 51268\n13610 58689\n21151 26006\n55438 78510\n61511 73357\n47389 58442\n18918 41147\n30305 35103\n16932 37538\n6095 48421\n25822 27089\n19551 20295\n36465 39186\n28386 45560\n27987 41003\n47343 63655\n13871 52170\n32909 40809\n51791 75380\n30571 65144\n36232 85824\n32268 73453\n7255 31673\n4179 64763\n48142 49346\n4894 75001\n28056 83280\n1688 80088\n17063 62606\n39278 57363\n16131 27400\n16243 74612\n42652 74847\n78334 82519\n17007 76689\n23839 52883\n19277 45004\n67369 76954\n38326 83953\n52513 84465\n11861 26803\n20400 50418\n21543 45165\n8487 14797\n9123 15519\n35089 75533\n19296 68287\n24261 28922\n31287 54221\n50312 61563\n24215 84476\n27932 47451\n62268 79959\n25009 66746\n8291 30547\n10722 65425\n35727 78511\n57741 72113\n26792 77774\n28750 66660\n58882 67834\n42459 79362\n31056 37106\n51608 61924\n75320 80256\n24139 57753\n40011 50016\n12355 42260\n58575 67259\n10098 54498\n12672 81555\n24855 69492\n16344 41197\n34429 36858\n22552 72662\n39413 48530\n59200 71705\n43968 63873\n18549 73657\n25777 68938\n19928 53825\n34406 56181\n17472 49365\n16000 77645\n3072 12406\n5162 27682\n13 76018\n20335 55505\n8254 34518\n21208 64955\n84867 85790\n676 40687\n15390 49579\n24584 25769\n50935 51662\n14744 70014\n17124 36358\n16589 82433\n34169 37547\n6366 71110\n14734 52822\n25693 56525\n36190 50649\n37867 57859\n45635 58756\n31074 43457\n75658 82376\n26899 67881\n41664 74363\n9878 76947\n34320 44806\n23971 63529\n49761 73929\n9150 71623\n42361 55296\n6580 16559\n553 79292\n35786 73365\n65674 83183\n56772 56802\n68459 80679\n52838 68224\n23948 55419\n51294 63405\n38074 81079\n6749 16807\n24345 82697\n44421 53753\n26681 31994\n2357 26332\n68894 83355\n15212 78084\n17756 45891\n23861 33268\n9190 54824\n6710 29614\n5321 12652\n1541 20005\n18741 69548\n16551 74729\n27426 31667\n53059 77561\n24098 39745\n75496 83770\n29930 71281\n6886 16907\n38755 77852\n1371 50271\n16051 28624\n9844 44180\n31809 52153\n14195 23792\n30267 59006\n52998 58943\n65588 70935\n69761 70711\n58395 78209\n2901 52240\n52636 73900\n75518 84051\n16850 71241\n20011 30836\n47643 77504\n29953 61701\n1004 9344\n10784 43877\n66303 78836\n56895 57026\n13132 82937\n29344 46534\n49383 72678\n62825 83824\n3359 72358\n18510 65635\n27403 34538\n24767 44062\n36655 77258\n1329 78958\n77782 78874\n10993 28559\n7674 11628\n17666 62197\n10902 31680\n5321 39215\n12655 69117\n791 2141\n63328 70697\n30796 49603\n43817 64355\n11205 32027\n971 51105\n48369 73856\n27438 82351\n6983 25565\n6174 31125\n19742 66420\n9117 73508\n42892 66077\n30617 34753\n16743 74556\n8769 36535\n13807 76409\n13084 31382\n17144 17149\n23201 82518\n2838 8323\n22998 81886\n31256 53213\n1761 5294\n23363 60656\n9458 31607\n47418 54591\n5987 80961\n27572 74859\n3457 36953\n45981 83481\n3975 48594\n6836 77962\n547 22346\n26020 36209\n23553 59943\n23805 33600\n68728 73702\n9625 41205\n3588 10874\n12386 37198\n34469 53849\n5076 27302\n25448 33124\n16202 54331\n55893 74432\n3485 14452\n3417 35852\n39171 46902\n43283 52840\n14407 30427\n32394 67077\n10675 53821\n65400 76895\n12026 72593\n4720 30385\n26485 41477\n43799 69001\n41424 65472\n49575 59323\n17659 79982\n5604 49536\n27764 47131\n37629 78732\n7995 16257\n23593 31651\n11404 42982\n3842 54080\n47319 78080\n68699 80141\n14916 36935\n46426 56635\n32454 38355\n66534 71430\n39538 77664\n29050 44930\n31889 49694\n31958 58334\n6434 79571\n3361 42282\n28 74612\n553 62053\n2520 4562\n3008 83981\n19662 56484\n31440 53981\n22042 41371\n41247 65529\n29436 29447\n33740 65501\n1844 12439\n11785 24101\n26170 69472\n75172 81392\n47764 59765\n16139 39853\n9535 38349\n8626 71277\n59387 81719\n2387 48173\n15590 34887\n73452 78266\n4057 12312\n5000 50843\n20487 66167\n7392 45904\n3451 26152\n18932 63625\n40454 76663\n66244 83391\n31430 57071\n50962 81222\n53399 84363\n2986 8270\n60085 66575\n55123 71245\n58543 67781\n31958 72496\n58083 85022\n13924 44022\n22194 71147\n50596 84869\n17096 41437\n33937 76081\n15694 40834\n2234 58087\n37817 63636\n59543 82017\n52529 70764\n45716 76365\n27582 27608\n67359 70095\n40050 78658\n70515 73347\n10067 33760\n8566 25011\n15338 28666\n1265 14899\n52453 59330\n9739 80622\n2811 34175\n46506 74965\n19903 44477\n34731 70446\n1155 62201\n67228 79851\n10592 64083\n20622 70840\n16540 62055\n31300 67008\n65863 82208\n19772 40280\n13432 14367\n76548 80525\n24474 68053\n56892 79750\n77033 80380\n42730 74567\n56276 65069\n12089 42334\n17780 63708\n35211 48997\n81474 85732\n2053 57509\n27165 79562\n70643 72437\n21811 40762\n3227 73472\n11976 85765\n7597 18673\n758 80887\n35270 59134\n35712 71668\n3398 17073\n10975 80734\n42312 84132\n38483 77123\n73815 78744\n799 72209\n45818 53692\n35086 58040\n42586 66704\n44878 81322\n1391 54275\n28938 36016\n44295 52312\n75808 78578\n23005 70409\n49266 55651\n21235 49509\n27792 53120\n9114 18601\n3609 12701\n19098 43800\n1659 49552\n3138 81073\n15001 59797\n16540 48618\n63622 68457\n55964 68918\n17062 52576\n11411 51200\n51744 75044\n36683 76977\n28313 82872\n11589 15343\n9767 30998\n50949 58026\n18204 62557\n20654 64573\n20097 26928\n42240 44575\n26969 68236\n10952 51651\n39201 71859\n26732 34645\n61560 78632\n52246 84501\n47857 62113\n24482 27871\n71851 73448\n48994 72104\n43344 81811\n11399 85502\n39069 61601\n35335 44690\n36501 64263\n6156 55267\n22355 35205\n47300 74598\n48252 53928\n3640 68112\n22408 44953\n9263 58893\n35016 36602\n73535 85865\n10817 62845\n45080 62931\n15639 35865\n62396 78931\n6785 78520\n3285 11692\n12657 82679\n51574 83626\n34 83260\n28842 32021\n51565 60893\n24453 32974\n53238 73234\n66628 76113\n14214 26307\n54729 81894\n56662 62781\n43290 61771\n18941 85551\n55772 82823\n15580 49240\n57413 59421\n56388 63193\n21965 71956\n58832 72785\n65776 84238\n11460 34493\n15240 65041\n19744 53481\n8645 13418\n40856 81947\n883 65417\n7915 7935\n63592 85142\n17246 46331\n31905 38370\n9196 78817\n24886 75182\n63894 74551\n31772 47842\n35862 37811\n15071 19811\n36458 47994\n55876 64377\n13041 35480\n28260 66036\n15187 54168\n58183 78427\n12267 28169\n12682 69946\n42079 83905\n3866 55182\n5986 84676\n35535 82069\n39186 50931\n40534 47192\n1496 70709\n33508 84352\n8762 59782\n4738 10298\n28471 30138\n71559 72091\n49249 79105\n5225 33463\n8146 82892\n68066 74818\n15367 63349\n55783 70288\n17015 63889\n42480 81696\n35720 49345\n32819 66726\n58565 77253\n53578 70112\n55471 70987\n27937 59891\n30828 71804\n16289 40936\n21361 51405\n35888 77364\n45627 50341\n4125 44881\n10522 44357\n1349 30082\n15436 73573\n31115 73268\n30504 59951\n39524 45692\n56604 77140\n44718 70954\n11937 41209\n30617 81156\n12368 17138\n16642 65905\n13608 73929\n66075 79088\n47616 55675\n35037 76511\n23539 54435\n2737 52828\n63569 76631\n14755 72060\n17600 64538\n66670 76502\n78248 82572\n47467 48371\n1763 8175\n28959 36348\n62752 79407\n43849 74472\n16702 25390\n22378 29181\n25610 77743\n16456 48813\n3575 33566\n21485 64281\n7176 21415\n20811 32637\n34500 38972\n15136 61604\n55991 75240\n40460 54447\n15051 15073\n19101 52144\n9142 26346\n22681 51579\n17406 56234\n31162 66958\n34128 74195\n68221 70157\n13376 34196\n523 65219\n48502 51225\n50300 73690\n68620 71882\n54928 63383\n1894 15731\n19679 36261\n33573 80447\n41980 49483\n7528 43224\n25201 52366\n17939 80247\n15389 68133\n10697 70662\n57526 82989\n5838 23032\n41608 45670\n39502 75934\n25214 58529\n48986 81420\n72323 83301\n717 12859\n68943 79748\n49799 55778\n106 32136\n9654 67903\n75680 85869\n18199 76902\n71345 75035\n20481 54156\n849 65933\n42406 79839\n40732 46189\n28670 58756\n71012 71424\n11458 80159\n3559 64162\n34760 41723\n16269 55794\n25859 66950\n17508 41881\n32853 34905\n31703 73233\n53623 65902\n34552 85089\n63250 73444\n14052 30788\n5407 49554\n25465 75261\n17400 39928\n23752 38671\n43046 47227\n5612 65576\n50209 54137\n8644 58763\n46060 81712\n15863 36271\n60403 85680\n7387 29533\n51114 55751\n34156 52668\n26508 27708\n70479 77335\n65848 76555\n3161 51825\n14963 85329\n14610 70860\n20728 85619\n3544 74492\n6869 66224\n3555 10099\n5504 40576\n48983 55904\n2279 33969\n42072 58367\n66870 80383\n14101 42646\n20393 55665\n14667 56432\n28437 82703\n81374 84090\n19640 30972\n24048 73751\n13535 38235\n37428 73328\n63059 80840\n27259 41206\n1518 23337\n4263 27635\n27565 45746\n15186 43639\n52555 55875\n30500 53307\n84621 85483\n26456 70803\n3986 44128\n15263 25349\n44334 70907\n73626 83580\n19817 57950\n35814 63700\n33326 53234\n25076 48892\n12674 52388\n16976 81926\n6585 85395\n24003 56036\n32875 45122\n18882 22924\n8462 50423\n6068 72245\n32637 57837\n15524 43622\n49179 51329\n36628 84867\n11685 29872\n52674 67231\n26541 38152\n58026 74416\n18643 62356\n10859 56248\n36968 58435\n15651 76579\n38631 79407\n26181 28229\n7110 25741\n25378 53294\n3894 59119\n27687 52738\n7916 39044\n67795 81806\n1137 47563\n57154 71573\n18317 45076\n70793 79400\n3321 35669\n3214 26534\n3806 66977\n20620 53591\n50976 69356\n1001 25935\n14067 20402\n9447 74846\n25173 85540\n54085 77097\n1304 72745\n50654 61579\n18825 43309\n3230 17650\n37672 50015\n68809 71510\n41493 64107\n48289 63934\n21182 57851\n35400 50542\n47157 65589\n13770 66283\n31840 37606\n63660 68595\n23307 25918\n6337 20490\n42854 77826\n68770 82701\n14518 77186\n54829 82352\n68428 70569\n5772 68846\n1377 79779\n69992 72357\n47601 49493\n17202 20908\n8314 65574\n73314 79642\n21829 38960\n32485 41806\n16729 21750\n25249 66313\n67682 73793\n57143 62469\n6685 17335\n12345 14410\n1967 22749\n13923 77782\n23584 53955\n13289 63061\n35278 45328\n32955 40248\n4076 69344\n40678 53941\n19237 71601\n27016 33090\n27146 48374\n31830 40209\n50396 81144\n27813 61056\n13712 62097\n21611 51045\n25787 32510\n43666 75849\n69450 79137\n31898 32887\n25199 38184\n27163 75772\n45242 66404\n304 29633\n12530 17646\n10836 25713\n14223 38463\n71927 77175\n40536 48661\n6882 53347\n47 80739\n45456 58488\n6967 37622\n13497 71759\n4287 25173\n23362 51651\n12591 47264\n29982 82203\n35821 47961\n52762 76969\n26568 30054\n21015 67427\n12666 53631\n60812 82872\n5387 25572\n8982 12050\n24462 80756\n42759 65042\n36390 62447\n22691 23628\n26884 83873\n35575 44159\n22689 59388\n25878 49938\n25091 34332\n47873 79623\n48023 70953\n20029 34823\n21683 82439\n36345 37327\n14359 52093\n20191 38763\n46812 50124\n66013 85666\n71000 84414\n23891 63221\n16930 27182\n55183 84948\n28614 29953\n30885 58164\n35089 40332\n25579 84669\n8840 33145\n18898 55794\n37578 63467\n9625 77635\n23638 25981\n71763 76437\n28549 75670\n70521 85314\n28244 39453\n2907 75294\n1000 77666\n10538 44685\n20744 62675\n17869 20130\n44276 58866\n60828 66793\n454 30951\n998 18755\n50286 70231\n34823 50066\n9504 19474\n11502 29217\n49949 72926\n12129 57848\n18948 30744\n2735 80813\n62499 85708\n11078 59895\n14001 62007\n6426 62213\n32273 33867\n65468 75391\n15876 27114\n54010 74445\n53467 58834\n10038 33983\n65945 78899\n44026 82289\n37607 66977\n43152 82966\n56342 64368\n4545 68276\n27222 38729\n56405 60607\n16778 72698\n39691 72885\n41404 81414\n64659 81465\n15396 82300\n1589 39873\n56195 76480\n28125 32459\n25303 76270\n5846 22523\n50189 82238\n33686 41301\n16794 54009\n67266 76251\n15132 40217\n21736 53676\n51671 76188\n25406 70341\n50590 65718\n21304 70189\n38977 75483\n30808 50533\n13702 36567\n28896 66422\n2087 4135\n16172 78103\n59537 63542\n31242 80775\n15974 64984\n55374 70940\n37317 71013\n75776 83689\n28051 44056\n46086 71149\n28550 57722\n21815 30922\n12569 84410\n35160 67129\n41445 70713\n17142 63802\n25340 54587\n3152 40121\n2392 83633\n4468 32543\n45071 61129\n68649 71460\n41764 80009\n24874 26277\n16466 79157\n43611 71233\n22072 62128\n21832 32193\n4654 27000\n19853 39159\n55678 61545\n31680 63476\n12600 35600\n44407 68057\n17803 74428\n1369 34193\n56830 75448\n47295 53301\n20477 68855\n70827 74113\n28492 60658\n34404 54501\n56496 56832\n21354 79472\n18549 21672\n42095 81713\n8278 25911\n6270 68456\n5493 55743\n54031 78126\n47037 68147\n67297 71724\n25144 83377\n8696 41427\n33112 58277\n34440 44202\n21880 31154\n13013 56294\n23372 58203\n18745 30094\n40077 73556\n16591 50689\n81692 85295\n31549 68240\n18487 79119\n28181 79014\n64378 80920\n35970 61205\n45809 80566\n15569 80402\n23187 45645\n17025 50787\n11951 39574\n10925 36234\n21182 46298\n64020 71009\n15281 18690\n19888 64058\n3879 44881\n58742 82256\n9240 33253\n30254 76500\n13158 68837\n31458 44701\n58119 61404\n48887 82293\n65522 67278\n35224 58919\n59307 73180\n12785 85815\n76944 81074\n26377 74999\n35525 45014\n5563 32070\n62984 71610\n29738 65878\n32208 46088\n66588 78539\n60049 63865\n74243 80520\n25659 66694\n9220 27873\n15673 26463\n3055 20913\n41860 49550\n28753 41339\n2399 16614\n55130 64701\n49311 76889\n46243 46707\n40457 61334\n43351 72583\n22350 80605\n64812 82386\n43359 55000\n55216 85642\n17598 44973\n57231 83746\n5262 18875\n53741 85736\n43115 64818\n46497 80193\n14700 63235\n21031 54503\n20207 29422\n12704 55498\n12589 80633\n34388 82578\n26628 57989\n1372 40016\n30320 71984\n49285 76488\n26090 67432\n20499 53959\n27691 46259\n22993 75247\n51680 79554\n36462 53043\n17415 19056\n37297 70497\n16964 49571\n25706 60895\n45615 77358\n41089 61893\n64000 71978\n52145 85592\n9982 14164\n16355 72115\n65240 81224\n7809 37511\n17157 38767\n32288 72845\n51633 53727\n81395 84598\n8641 77854\n57139 77239\n47673 71381\n20844 78808\n6678 55320\n9574 79377\n24175 53945\n9542 63101\n24662 68725\n24221 68146\n41266 53537\n15973 43642\n67494 76612\n22257 79003\n56889 81537\n42067 64352\n34474 39266\n26118 50405\n28520 32150\n5981 78675\n23049 43396\n59198 74842\n7343 72838\n310 66801\n54450 79626\n23740 81701\n46161 50703\n25019 47406\n67613 74479\n13292 31021\n50245 84095\n57452 72283\n39832 41236\n5870 34163\n408 74277\n1469 40561\n18543 81471\n7587 79542\n12861 24662\n40443 78832\n8043 11169\n36864 82709\n25482 39329\n16242 33190\n43661 79152\n20375 49342\n5598 43817\n19904 31921\n27746 83986\n69214 75569\n11187 65382\n13143 69329\n20255 71544\n29403 46522\n57817 85450\n19855 56711\n19854 58518\n12257 43766\n7947 66873\n32361 83035\n2724 34867\n72952 76768\n9828 79804\n30049 42273\n23472 80965\n54564 59465\n2117 64250\n9308 83602\n40173 80288\n24790 47286\n50437 64084\n3843 32074\n29831 80840\n6719 59026\n59992 81506\n23759 60813\n31487 61713\n44374 74444\n449 75322\n41383 64058\n4386 67004\n17818 66338\n6921 13648\n30517 58003\n48878 60124\n14308 79575\n65876 77270\n46181 56120\n243 30716\n44523 47014\n29306 47306\n67797 74906\n5512 58737\n8936 69064\n3057 8914\n39410 76568\n11726 21756\n37903 38210\n44953 47937\n14149 72595\n12268 28149\n1556 83106\n16000 74434\n3805 59710\n50106 69728\n23725 75445\n39809 57591\n37217 70592\n29137 74549\n16256 21266\n2992 4834\n46830 67539\n68525 79798\n68158 81561\n14746 18226\n40495 82560\n35794 80686\n8315 19969\n11614 66334\n1271 81087\n41043 57412\n7960 14137\n18672 67953\n50075 68403\n23374 72632\n1679 12936\n20215 24947\n1610 8110\n21617 70860\n30273 62950\n24542 62595\n8658 18009\n9885 21580\n20039 40270\n57504 71889\n6275 15399\n9471 85183\n21644 48422\n63836 76082\n59937 73446\n18678 36049\n39769 56168\n16746 57124\n9465 25396\n23502 79593\n16626 28991\n10723 62325\n7976 44274\n36696 45231\n28442 55103\n835 16732\n66859 80945\n16109 82012\n46122 64920\n56955 79592\n35648 74403\n7871 75716\n39935 76505\n1496 11172\n5533 67552\n59199 80683\n52825 64916\n33457 33974\n17837 83287\n41856 42606\n65433 78908\n15146 82375\n74342 84298\n83077 84121\n35372 77334\n13376 41935\n85619 85833\n15135 18066\n5140 76759\n4385 39562\n56762 62407\n31586 82169\n38264 63948\n14746 33790\n37670 69553\n27773 34134\n22690 58024\n61843 81597\n1790 72441\n6756 11667\n8330 35580\n43384 44529\n50797 59935\n17621 24863\n33881 50875\n29058 48871\n14584 38272\n33131 34764\n8778 70347\n60471 83182\n59340 74489\n78281 79380\n39978 82190\n19456 55285\n6389 76846\n27244 70330\n3857 17404\n32420 37939\n27625 70233\n45665 50423\n9477 46590\n36833 72780\n20494 47552\n35557 58475\n8186 58752\n58160 77521\n12743 20897\n37692 72035\n42704 45193\n19591 42619\n14057 21325\n33844 69497\n11602 25666\n5323 44022\n46332 65772\n58551 69370\n10334 69763\n24034 65538\n12816 20565\n40303 72644\n11113 53793\n18750 59710\n77003 79787\n26613 49661\n22030 44129\n8139 66291\n72611 76851\n35719 49601\n9019 14394\n53364 56277\n66681 69662\n10077 30358\n1495 49986\n36261 62359\n53160 76396\n23455 85648\n687 85787\n34593 84172\n2600 80362\n37001 64087\n49334 66646\n39962 52208\n41781 73565\n38235 51995\n1427 70551\n14723 56163\n54026 59469\n25273 74499\n40284 83768\n12456 76880\n23220 58753\n12303 23310\n15842 80021\n23706 78525\n18376 68839\n19117 45819\n42394 54229\n60086 74191\n46256 53090\n37277 49707\n29625 46691\n1379 30263\n10514 22500\n31226 54183\n5657 67399\n17732 46278\n29375 41925\n24025 77067\n54945 62372\n36603 70125\n58454 60857\n42226 57710\n36821 59947\n19897 84594\n18550 41267\n36718 52720\n52259 78882\n17888 78992\n63338 83639\n27232 48581\n17889 84967\n25279 61024\n34109 84685\n13954 74939\n8617 45190\n18861 29820\n59746 68201\n3902 36470\n3921 72458\n4987 13206\n54116 76987\n9657 19641\n4810 76390\n40175 47018\n79216 83939\n22670 77799\n30268 33440\n37596 50200\n6686 11737\n57786 85085\n43368 86004\n1518 5438\n36641 81392\n40509 65087\n17302 44289\n14926 80162\n9880 44830\n8 77443\n48750 79468\n34204 45496\n5105 59761\n7260 83551\n18981 85615\n22298 64535\n75789 76984\n16725 69336\n32675 64026\n9483 30599\n75 79680\n29910 75199\n6092 42254\n19048 19706\n29983 58945\n22821 82387\n27018 69753\n50693 77845\n52823 63440\n65166 84992\n30309 59634\n28921 72170\n21232 34822\n28967 50382\n39258 66299\n14934 27423\n23674 56122\n52114 67558\n34966 67302\n37639 56946\n35045 58089\n16174 73214\n8596 16895\n55333 85309\n45 62363\n78709 79067\n60548 82397\n40011 67785\n35635 80665\n7424 20347\n4409 32672\n16367 45310\n2625 31646\n48884 77050\n12784 14200\n34190 79618\n28178 49801\n21559 54989\n37430 43923\n70002 77534\n12883 55559\n4501 29008\n14830 85440\n17001 50857\n11078 49171\n9748 11986\n11456 73013\n36662 63629\n16873 25452\n51816 54754\n35395 52368\n48935 61986\n24346 31671\n29957 57590\n10002 30783\n6371 58665\n37202 54354\n31870 58583\n31046 41447\n15774 36780\n73380 74730\n21360 63398\n25707 78619\n33227 46808\n12452 75353\n15072 60912\n23965 58400\n37014 64639\n27513 68969\n13825 26451\n36740 45764\n1614 85158\n32186 55849\n50755 79808\n41508 74609\n53548 85036\n3127 13330\n34294 47454\n11010 37814\n73558 84541\n40742 48482\n7075 13003\n70822 83770\n16232 82613\n9064 65897\n34630 76361\n27024 53455\n39010 75659\n46533 65293\n67019 77354\n42908 48651\n72098 74695\n25427 43745\n64221 66014\n70215 81365\n66050 68359\n2252 11571\n30670 85813\n19484 24728\n15788 79758\n18932 80497\n60402 85551\n4338 29406\n49685 67926\n20696 71903\n8564 50053\n7391 85651\n33 69260\n11266 56086\n65064 68043\n40842 60764\n23375 82426\n32660 56291\n62434 77900\n79049 82267\n10137 41407\n68301 70869\n10189 56638\n14849 41576\n63526 69302\n36253 51507\n7949 71322\n23807 64982\n59009 72130\n51602 64821\n2611 75025\n35703 80516\n21300 83082\n28357 43192\n11303 28570\n50335 77180\n42095 42875\n40992 76617\n40492 46531\n35223 35893\n21660 47971\n74669 76575\n32781 64165\n34860 43961\n41678 52669\n33675 72127\n31737 49683\n53884 74256\n59239 78519\n39247 53849\n12362 66000\n42699 72207\n2987 46028\n5250 49389\n48592 78773\n24160 28066\n7840 35786\n62934 79846\n6394 55033\n26812 70013\n26497 38846\n28715 29362\n7088 34546\n33601 46693\n10910 12030\n62832 75611\n28937 68623\n3684 68005\n27975 42269\n11681 40582\n23783 69860\n19591 37657\n23881 25098\n50839 80643\n23915 77396\n17885 70660\n21730 33448\n5829 84939\n54961 58921\n13824 47607\n13048 68838\n17307 73243\n51916 68201\n32349 45843\n17597 50447\n5965 30467\n10654 19799\n37538 81188\n19154 29034\n42171 59144\n4400 35816\n8195 75929\n35322 72809\n63620 73028\n63541 77602\n35942 76123\n41193 51478\n69021 78609\n4838 74590\n35842 61678\n13413 53883\n32454 45123\n59890 74843\n35403 51399\n22045 42254\n54855 56138\n59744 79103\n59803 63122\n61229 79979\n4760 85086\n39359 67563\n11667 34192\n16963 84641\n34946 47277\n4449 51945\n9235 72731\n5330 33732\n15070 62979\n40594 67758\n11315 49466\n29902 60831\n6008 51486\n6539 35080\n4023 37654\n41374 71573\n1723 49071\n1738 5547\n48226 61528\n15784 76832\n28150 40425\n45883 56130\n7094 84557\n10952 34879\n45592 79778\n4981 82874\n9010 82486\n31628 57841\n41369 73153\n51457 70745\n4218 22958\n24396 73591\n49594 52201\n5068 75219\n51 75421\n44491 62150\n29457 84556\n10889 21548\n55254 78485\n44929 85717\n25428 71499\n61182 72269\n18199 46374\n47375 56702\n49187 50294\n12243 72756\n71431 78771\n29583 59420\n38138 39316\n37383 38870\n16309 56267\n3244 59092\n54089 71557\n46625 73788\n54847 73988\n52365 53106\n37609 73747\n25053 46803\n39682 84327\n33590 81348\n30357 31193\n38071 85205\n11357 50553\n31535 83592\n42551 73283\n26134 47889\n64341 85834\n13088 41727\n11077 33658\n31732 71574\n31920 69924\n35019 62524\n17542 75106\n47953 77325\n3608 28909\n52307 81655\n395 77577\n30357 81608\n12128 79217\n14079 25563\n80751 80777\n12460 47750\n45177 46204\n48652 83186\n40504 62747\n22591 62965\n27943 74748\n27138 42067\n13331 75433\n12453 16484\n7606 48735\n72485 76592\n42264 77509\n15630 57564\n51353 70155\n63228 66769\n46452 51291\n32183 64845\n48621 63335\n53447 66875\n18709 35243\n38329 84113\n29400 51157\n32557 51891\n9890 43141\n13990 24422\n49712 79189\n29603 45038\n5758 55630\n12808 36957\n32394 81498\n40400 78493\n21452 84514\n22519 27941\n45108 45695\n26166 29739\n16676 51635\n81164 84703\n61990 64456\n35030 42508\n36975 49832\n380 53093\n63243 80894\n21054 59799\n35778 71541\n43429 43540\n43557 60563\n45097 57814\n11001 12408\n25562 80607\n23838 68359\n5496 53577\n19718 62669\n67681 82547\n31531 58274\n9905 31552\n3437 53794\n42326 47113\n58265 59296\n15128 39518\n2985 82619\n47045 75135\n62125 66238\n21130 49666\n20713 47253\n115 55047\n21033 41020\n39969 84546\n23152 63652\n16592 36162\n55663 57418\n30262 46484\n1268 20539\n68640 72454\n28653 32359\n51656 64906\n44848 80729\n68419 82399\n36448 44271\n17883 71333\n37420 78674\n40262 52961\n68819 70699\n43672 60322\n23695 66994\n980 34370\n10364 13055\n57492 85872\n14440 31319\n4640 14268\n57697 74243\n1713 39925\n12130 64241\n69954 80493\n20426 75500\n13929 59533\n15502 24319\n28805 61816\n44066 83297\n28740 63174\n46002 84384\n40278 51074\n10935 19213\n5956 61183\n59160 74610\n76672 81097\n5066 55634\n55547 81321\n6150 27675\n687 46689\n50022 52369\n14996 29600\n64009 75628\n58697 84096\n28564 60340\n4177 25227\n24302 82705\n365 33541\n17945 52428\n36806 41671\n11288 18135\n12557 69499\n48250 80881\n13546 21639\n14760 29532\n60660 78544\n2976 37574\n9005 16820\n20668 74516\n4922 56923\n39955 62335\n52540 83247\n6444 16673\n118 23531\n28640 64007\n27716 66766\n1236 55557\n42704 48141\n24691 28183\n27791 81064\n3237 4427\n8575 41762\n40253 72061\n50958 64959\n29820 49813\n58295 84305\n7454 54693\n20914 34151\n51254 80798\n43866 76307\n45174 72364\n29266 35555\n36724 62485\n4651 81490\n32739 32828\n20705 53080\n22935 83486\n69570 81629\n29697 72325\n22780 53436\n46789 64112\n23964 24860\n39924 52821\n8851 16062\n30264 59434\n49411 74200\n78607 81341\n37618 73140\n12237 35441\n65707 79380\n59419 77196\n59360 82088\n77736 81936\n14776 68432\n11390 85270\n8225 83872\n27098 82222\n18102 70619\n19431 83525\n69799 80995\n24754 50038\n51496 65219\n54778 73923\n1786 9714\n15403 25306\n33657 57137\n81459 82008\n53632 68396\n33811 53876\n26086 43495\n37100 78440\n52285 77980\n16100 22618\n20753 27366\n1784 43739\n56772 81342\n19424 45708\n20311 40399\n54618 65017\n35422 62503\n42303 84818\n34280 75916\n47026 61148\n46621 63344\n28037 76271\n55334 72693\n16649 32958\n11017 71838\n27515 78311\n5033 59923\n39179 59634\n45842 49485\n33046 66167\n67 63154\n934 47425\n39207 80135\n12352 79589\n29210 72694\n29714 58161\n1361 27631\n24593 44798\n31410 31901\n44613 61202\n39898 55652\n71827 83201\n10445 61216\n28286 28572\n11801 72882\n30095 37161\n27978 65704\n6340 10627\n26145 30866\n17436 56325\n3655 28277\n58029 76669\n25741 68677\n38945 60796\n12959 60535\n10194 43437\n58467 59517\n74444 80825\n3096 76102\n61404 77554\n25706 33287\n8707 71304\n56536 77549\n76238 81955\n22347 69006\n20887 57856\n35643 65447\n10471 19548\n53433 53775\n23446 40468\n3495 47423\n37872 62062\n29905 77033\n10171 43498\n26451 30854\n46668 54954\n29933 43024\n23352 46817\n41818 76513\n69236 76502\n15522 78042\n56386 84226\n23043 45746\n29757 77852\n14031 34854\n57256 68637\n39863 48105\n47406 58547\n49162 49807\n52662 85057\n32045 59843\n9 61619\n32405 50396\n13401 69529\n482 14399\n24928 76443\n17348 32543\n19959 56366\n45666 59996\n35896 66524\n27890 51199\n74127 78237\n63708 83975\n34292 45082\n8617 58463\n29996 57986\n28393 34769\n18543 52582\n41687 70769\n37444 85249\n3772 81181\n1520 10740\n34072 75693\n61951 68654\n2621 51908\n5244 18618\n21200 77272\n25254 65009\n414 77094\n50552 72579\n56270 69918\n57968 59714\n51657 67136\n18110 26002\n21979 34876\n29985 44483\n14324 67585\n30605 57035\n46401 66578\n60343 73072\n17405 44441\n17054 60928\n59954 65347\n24877 79948\n1957 31379\n39617 79805\n40703 62055\n23272 41706\n70878 73832\n30841 85953\n30785 37599\n16688 51901\n12651 33287\n5053 47232\n54091 74059\n58911 82483\n63792 64073\n51663 63279\n42515 56081\n32108 79587\n59708 76617\n14638 18829\n71363 82224\n16981 39499\n24270 67425\n29717 80977\n27493 40344\n16411 33913\n3799 53754\n4251 83500\n64624 78307\n71783 80928\n6110 30148\n25095 60212\n30605 36835\n61100 64775\n61457 85544\n14032 61990\n34374 49079\n41073 84622\n4469 42954\n72101 82186\n20965 25662\n31316 70304\n26408 73628\n20501 62678\n22769 73623\n3760 48145\n36272 73612\n68974 78355\n1273 27341\n20457 76354\n19753 72823\n36243 80687\n76766 78314\n9369 78493\n35694 52857\n56041 63871\n36861 68369\n18717 46421\n2260 4138\n16873 30374\n59730 70118\n19680 70130\n50854 57739\n12686 84940\n9668 77881\n1502 50360\n48674 85751\n32191 59874\n1848 3216\n47894 63831\n69113 74638\n5656 8181\n59796 81896\n3307 41382\n5023 56066\n70412 84684\n14131 56493\n10924 45661\n26768 33351\n76026 83317\n1578 67234\n34439 77443\n6444 37694\n23040 56402\n32650 40709\n10492 48513\n9775 29742\n21229 83843\n33443 67791\n43967 75539\n18403 83521\n35462 41351\n51720 80730\n13242 19459\n24426 40152\n13610 44143\n569 38023\n14760 40837\n61865 76981\n28997 33951\n24887 72375\n28346 53182\n3678 21262\n26227 58241\n54766 56108\n35336 40279\n20896 76633\n63977 78719\n15701 76952\n23347 29064\n16213 36757\n23450 81483\n13075 46082\n62746 70384\n7554 31639\n23910 28334\n21619 23486\n1128 5059\n42661 85282\n11260 59763\n5626 76001\n36602 72618\n26784 84800\n7343 65142\n37173 76826\n51418 70728\n985 18251\n60908 69363\n29908 46959\n27045 36607\n30174 78335\n17195 34296\n20869 41895\n37053 50576\n5957 60779\n18078 62238\n45050 67774\n62239 74639\n9938 13134\n52950 58342\n50124 62531\n10305 42796\n39716 82033\n56385 68811\n4547 36392\n2719 49690\n35324 38220\n33551 85464\n1252 22726\n23902 66558\n16921 55834\n5155 77193\n55945 65534\n36659 57152\n13077 30994\n48949 66340\n36730 37334\n49435 57421\n36286 55035\n20763 83499\n46704 50106\n16812 53971\n8188 83200\n56678 75877\n6616 39480\n50371 63410\n27812 83258\n27988 40856\n60679 68591\n27341 78647\n18437 85155\n53111 85107\n43122 56536\n24183 52958\n3109 16207\n58040 67754\n580 44253\n58541 76269\n26997 55473\n9019 20573\n64113 68354\n24684 39635\n44181 59297\n51056 54446\n39117 72731\n13849 83965\n19875 24365\n8439 47411\n491 81227\n1079 64576\n10044 67144\n3254 82668\n17894 68794\n10402 82476\n19232 53278\n18971 82663\n56812 74534\n23083 78384\n33466 45332\n47994 73090\n56648 64693\n77419 81811\n29222 56145\n64570 80266\n37016 68538\n39681 68331\n43028 45814\n44154 48204\n22596 54344\n3856 51845\n15199 58956\n52226 74553\n3859 74980\n34007 44599\n4841 18239\n17484 35351\n52349 61593\n5110 66671\n20232 73183\n921 61719\n49382 85278\n10693 18199\n29524 32230\n25679 48878\n22 24623\n6810 15469\n11724 66551\n5347 13894\n13967 34360\n5598 32265\n6927 31162\n31794 59037\n74291 79312\n51215 65521\n7577 63451\n29331 72150\n53851 81926\n351 40406\n26582 30661\n24937 40539\n44020 52530\n69094 78348\n35179 57022\n8138 84470\n37358 74961\n8938 83339\n5634 70382\n35528 85311\n18485 44119\n81480 82676\n6309 28146\n12828 30168\n60313 65312\n33439 68051\n32687 73707\n21579 74926\n11311 85532\n28364 53259\n37022 44840\n57122 71792\n64216 79438\n54215 77035\n9948 38412\n24623 71755\n6553 75376\n8257 75587\n49295 77378\n17363 24797\n13206 70511\n48202 51903\n35754 65220\n14202 52520\n42985 47346\n6311 44065\n48516 71824\n21684 53841\n55466 60911\n47626 64279\n15994 56598\n6038 21943\n10474 65406\n27819 40559\n16388 75104\n18639 51203\n12413 45301\n24854 67455\n15125 29586\n39690 52724\n20134 80878\n66635 84951\n4645 29603\n6934 16737\n9424 44191\n50963 51936\n52756 73177\n56861 84066\n24095 61933\n58596 59234\n57502 78149\n19542 23767\n4559 82508\n34748 44991\n44557 78214\n12717 41478\n19780 59279\n69842 81536\n59873 60996\n40788 67040\n21301 82210\n21071 57974\n20830 47075\n9784 55255\n51380 66833\n5669 34312\n44103 45889\n15257 22492\n45778 74420\n52066 71347\n15539 16864\n47789 60939\n14867 25900\n7711 19238\n73821 76610\n25918 77544\n18717 26424\n6856 34024\n55712 59134\n21328 32462\n21609 50738\n8835 38094\n19001 82456\n34275 69462\n29944 60782\n8936 72095\n16417 48096\n9628 21098\n34455 82731\n1301 17583\n16267 81443\n62372 63434\n40980 59439\n66854 68238\n11230 46598\n4487 34896\n75327 83799\n20574 76934\n28465 53921\n43503 64828\n45691 48088\n61031 85440\n18660 76437\n16129 30607\n35713 47335\n31858 42457\n23340 38135\n12451 70029\n27086 82260\n30344 80593\n30247 30372\n4343 9829\n3014 76912\n47363 53932\n42289 72893\n724 17693\n22159 45740\n35064 73909\n10142 58431\n36806 43267\n23188 56162\n21174 79687\n12599 41329\n16365 36416\n29312 64943\n13133 16833\n63732 79047\n33313 56511\n46501 74408\n48866 70820\n267 7804\n50964 73628\n40209 66510\n53914 72062\n30837 75182\n33820 50200\n50788 54596\n71101 75699\n5110 41044\n32605 45262\n5029 81286\n28258 36618\n14281 42224\n39971 63057\n20644 40070\n41510 44050\n54723 65868\n26221 46562\n36706 83556\n4652 73513\n47286 49335\n58028 78047\n48784 84157\n70450 79584\n27937 49450\n1435 3097\n62870 72804\n44740 54077\n34193 74111\n2980 10285\n8117 60688\n25758 32250\n23730 73096\n50581 80209\n54207 74890\n68053 79339\n44907 53718\n27386 36206\n28710 55777\n25759 62813\n3801 61345\n33553 61400\n12923 57988\n10236 16801\n30426 54448\n64846 67797\n7852 58285\n71105 84957\n3332 67120\n2128 85624\n958 68235\n7927 53936\n37250 58704\n50322 78699\n36992 67368\n7243 40167\n18253 28552\n952 77478\n35166 84282\n18893 78793\n15039 44322\n33494 52688\n4271 66851\n11411 62292\n55606 66557\n44649 70025\n28163 74005\n22933 53110\n52462 61977\n14565 16208\n23887 76265\n11257 67362\n39908 50510\n37310 59284\n19016 50836\n26394 65834\n22467 79392\n61358 79459\n52540 65486\n27823 40414\n30941 62972\n256 30864\n73764 75984\n8229 67136\n40222 66505\n50436 69759\n74461 81287\n43092 51004\n16428 23112\n44833 83452\n77483 82536\n46420 68407\n5833 41807\n54931 82051\n66186 69348\n46564 56774\n32240 38319\n8262 35244\n7547 14588\n378 35222\n6172 61570\n10723 45110\n7224 51397\n32668 73552\n8929 21773\n62730 64151\n44370 62361\n32619 44468\n30465 59757\n20085 27299\n1290 84208\n51587 76861\n60468 80329\n14927 69190\n205 32009\n21480 74369\n20656 31018\n29902 69997\n765 14207\n17183 52858\n22530 25418\n27442 62187\n4677 30246\n43425 45678\n3038 13439\n35834 56524\n10936 36806\n73439 81628\n13640 68783\n16261 53184\n22482 33709\n36783 43927\n76532 83658\n21141 52389\n3337 6534\n47776 50148\n11138 20481\n2393 84020\n53479 62539\n75217 79145\n13503 53385\n31759 83075\n31028 43489\n26839 46720\n35686 62408\n32680 38106\n11815 55872\n21682 23836\n45337 54049\n16608 48640\n1618 4489\n12594 74597\n45631 57551\n11020 39970\n7690 54694\n49059 77181\n12347 20249\n3510 5324\n63957 83249\n9917 73279\n7114 21772\n3730 44956\n11931 77935\n60319 85165\n11672 85772\n26677 67578\n10690 38173\n46973 47033\n38856 42989\n69356 78979\n68958 83585\n5291 53936\n10231 66791\n40120 68190\n34275 69378\n30767 85774\n17660 51994\n31337 36067\n2063 55059\n33268 55781\n15812 34202\n27434 79712\n22998 33124\n44222 83287\n30040 66993\n35005 83197\n10490 65206\n22081 69409\n62607 82059\n26284 55240\n8605 19565\n4836 11307\n7739 67551\n45742 69821\n21597 42000\n59989 70239\n15396 56361\n15886 49607\n39363 66809\n50877 71390\n41989 81599\n41325 41705\n21288 42123\n22815 32159\n5301 20793\n36244 62399\n8276 76989\n8465 12836\n5160 67318\n38409 47133\n12287 64340\n56473 71561\n11548 17649\n20541 85498\n24676 63571\n166 36085\n12956 33012\n35415 58228\n39784 43281\n8628 15916\n50196 81005\n58748 58805\n60393 72833\n17345 19465\n58586 79502\n15384 52217\n40497 50739\n24255 78398\n50136 84256\n4702 13662\n8445 15044\n73730 76645\n10302 39111\n40157 66967\n33114 73925\n20909 49994\n49573 84095\n18241 39634\n41048 77556\n1813 17602\n69766 78548\n48217 58337\n8169 44221\n6559 24890\n5896 39156\n17536 19937\n6037 10063\n10792 30875\n19397 41378\n22251 58171\n26939 59064\n2364 65609\n59350 64162\n47754 72704\n24699 69647\n17638 72639\n20122 69009\n16099 63430\n28612 70153\n11651 69873\n8746 26121\n27565 70355\n48638 66450\n9563 85325\n23004 55521\n22062 44749\n24272 69730\n8481 63618\n65157 81977\n12363 18814\n25445 62089\n30253 79713\n15056 42810\n12168 42589\n48232 56332\n9262 15636\n57749 59169\n70214 73324\n75872 76384\n30341 68646\n11109 16140\n25043 29767\n8208 16180\n14199 39044\n27014 81297\n1997 46806\n24097 30252\n8779 84214\n9105 9442\n61466 79023\n22800 74066\n16260 81156\n55303 61270\n13120 55038\n128 40273\n2748 4651\n23177 72326\n43693 63485\n52905 66879\n9649 75963\n43100 43507\n1893 9932\n10691 27186\n13277 76496\n60915 77005\n39704 40867\n36514 45423\n55928 67251\n20933 77022\n36800 46745\n33738 72230\n3260 30858\n10131 40735\n46072 48895\n19914 20253\n5283 54650\n60811 80971\n14255 59898\n1157 22604\n38107 84943\n17555 80658\n52001 79473\n10447 20878\n820 30483\n20429 39069\n13760 65059\n18010 59106\n7010 34512\n27964 54609\n50282 73197\n59995 66070\n19865 71942\n27522 29696\n407 11859\n8316 19087\n24058 53363\n41661 44415\n7354 76659\n27590 60082\n69502 82656\n19746 33822\n15103 37371\n24706 67692\n37829 72871\n43388 53033\n21686 35516\n10091 28632\n1807 53854\n10297 13912\n10257 15661\n54125 72175\n39589 78165\n9692 64227\n57077 68321\n24939 53716\n35452 56535\n40315 77549\n9242 34805\n6957 41612\n29922 81719\n4027 4685\n1519 15513\n63479 70962\n197 31764\n34153 46542\n13437 30225\n21670 45345\n49668 69143\n20562 59476\n13980 60760\n144 71020\n61585 66811\n18093 29675\n26255 57308\n1982 5022\n64969 69913\n27341 54169\n10430 16988\n14109 57776\n14271 85365\n11641 42698\n27353 29221\n55122 64273\n4634 29678\n69076 84164\n10230 59223\n42641 79998\n8796 27476\n22768 54282\n12454 46649\n38636 41490\n16867 29784\n26661 85171\n46933 50612\n56247 69956\n740 59324\n33953 42682\n11309 12015\n55062 69629\n19936 22350\n1201 1466\n7891 75644\n84935 85480\n125 48950\n1101 80076\n1333 8991\n28370 57079\n17090 53353\n35106 55836\n7832 23965\n46959 66502\n50736 83954\n35189 83461\n69079 77366\n40535 50856\n23764 40475\n14933 45966\n28964 45213\n16979 21917\n11306 22666\n31315 35253\n54630 79375\n12483 60999\n1501 2933\n18162 63917\n1440 39177\n39168 79518\n10864 27471\n9144 9305\n8784 32383\n40820 67277\n7988 53409\n17320 46908\n8884 17492\n9007 11739\n7410 54401\n11015 11254\n1114 48540\n4586 69556\n11541 22076\n360 50396\n43442 56559\n25547 39077\n55816 80044\n51641 56774\n3355 25355\n31059 31724\n7697 53886\n24515 25625\n498 29409\n21436 53993\n16583 69793\n22696 32482\n11185 56678\n33638 79741\n48378 66448\n51379 54692\n27718 30201\n40842 84502\n27366 80335\n67 1756\n12423 34283\n29480 66824\n3117 29668\n20357 39464\n59601 76137\n19653 84499\n51457 73311\n14162 56081\n35568 50304\n21179 82001\n15877 17726\n4001 26234\n53845 65274\n22582 68945\n52250 73602\n71864 78699\n23510 59696\n34913 37457\n24940 54296\n50231 54435\n20155 21136\n30090 77114\n6212 56918\n17710 19821\n27641 47624\n76775 84878\n33172 77703\n20243 28535\n20447 58814\n17594 29421\n7055 56823\n36081 39010\n44527 64741\n12833 39727\n32308 37519\n60157 85898\n7105 57838\n65591 66236\n3216 31418\n2262 41954\n30423 45344\n25500 33577\n5671 35574\n9960 37994\n1382 32495\n43427 51460\n22453 55420\n22869 57970\n72455 78034\n35095 85178\n62303 72639\n17330 73160\n15968 69601\n13929 57552\n5223 66199\n72437 82564\n23185 73586\n8389 42668\n3382 82862\n4705 64972\n20428 34211\n45150 55193\n5336 18431\n4708 10367\n3330 46022\n15354 20526\n42119 51684\n18168 79663\n44911 53453\n10426 67745\n5404 23732\n69077 73276\n26326 73069\n46642 81585\n1276 28041\n54919 77740\n39077 48008\n40042 71122\n9626 49163\n53076 83304\n10133 42694\n35228 50505\n36393 55385\n1489 58603\n21352 66948\n4158 73778\n20826 69034\n31535 47588\n35523 40315\n23869 59218\n29884 54625\n13814 52985\n28549 39402\n39501 84974\n28089 28274\n25135 43891\n3243 59653\n41934 65530\n30073 62372\n4912 74405\n3353 72290\n36106 59134\n38249 58390\n29467 56062\n19074 84729\n64520 82371\n18711 46850\n24858 84415\n33585 76120\n27621 83398\n10010 60598\n11823 75753\n64751 81371\n22305 67536\n37223 42495\n17955 43732\n21998 48210\n6884 70629\n25673 85201\n17781 35129\n74312 78787\n378 65126\n7331 82899\n15495 56385\n54182 73936\n25035 83421\n12751 15393\n71345 82558\n31320 71744\n63644 68842\n22131 66105\n1939 52749\n63463 66396\n21943 73804\n22177 32243\n18035 75169\n25191 71679\n30723 52424\n41880 43238\n6190 60502\n9019 84093\n40707 56295\n43946 49271\n22046 45677\n9404 45179\n62945 85441\n25746 60201\n10736 25754\n37688 46010\n15177 50797\n95 74124\n7516 59566\n15633 48329\n12268 68563\n31861 40535\n3169 80225\n17638 78270\n1458 85518\n845 35601\n50931 77478\n42069 52833\n47921 77555\n34137 38952\n31536 37194\n59464 64047\n38104 74715\n58841 75057\n27995 69360\n3764 28760\n6162 11243\n3405 72273\n7528 55707\n62249 77212\n307 72042\n48127 73775\n65567 80585\n16354 41598\n61457 84083\n79807 85493\n47970 63339\n19364 77482\n1355 59141\n60724 70205\n25049 73775\n30221 79710\n52389 78024\n25270 49012\n28033 28744\n5992 13484\n75631 85026\n7946 30653\n26466 51315\n2293 23800\n16936 74455\n36990 57372\n42424 58055\n16004 69994\n3070 80579\n64625 75300\n5799 67241\n5866 30316\n5224 54253\n17008 64493\n31530 76408\n37608 67193\n3319 47950\n66203 85497\n6199 63736\n18203 22262\n8012 80046\n8646 58014\n20776 30817\n2281 5343\n66597 77584\n14172 38318\n8258 19647\n65637 72039\n2804 72469\n13339 30607\n7574 21292\n22205 55824\n20150 61838\n12429 28072\n1733 40077\n36039 71835\n16992 74833\n31007 84619\n18681 44146\n3776 17860\n30210 78462\n29548 75882\n25730 70250\n7533 46879\n20092 50561\n17636 77975\n28666 78778\n4801 34385\n7386 83216\n17378 48955\n62060 71764\n3710 82557\n12246 43231\n9926 78874\n34149 50140\n65956 80032\n60632 85143\n44147 85867\n15081 18098\n51350 60137\n19430 28225\n63541 64545\n45185 50807\n2776 42395\n20432 78081\n33475 46315\n11117 37082\n28864 54045\n20280 46060\n12442 36656\n41450 53592\n13100 36868\n65910 72263\n32290 84073\n24039 28482\n26697 41369\n2965 76947\n68556 79029\n22283 32780\n51958 69917\n31611 62659\n19601 27891\n9670 42416\n46311 71327\n34195 62016\n265 60450\n29677 64349\n39401 56796\n17187 36033\n907 14022\n23103 58585\n40735 55548\n31869 51817\n3502 38444\n35332 75627\n12044 37989\n9659 82823\n28381 41252\n21796 64531\n75309 75556\n1980 73740\n30231 53460\n45469 79476\n10067 66039\n60390 68363\n1413 28746\n40239 55197\n31328 80865\n15845 22148\n22447 25267\n35680 41532\n47899 54482\n18793 71656\n17367 55274\n30551 45544\n28936 36164\n26390 44308\n38304 58420\n11836 64670\n18423 65791\n20101 23254\n8785 12733\n44522 50683\n35559 38323\n1474 70488\n6931 21251\n17522 76610\n8784 49088\n26750 79164\n40886 83148\n45618 66017\n44296 70578\n35100 68509\n63975 78880\n58780 70066\n23818 30821\n12266 62406\n5466 9124\n1445 70020\n43314 49997\n10852 22292\n65490 82412\n41307 70505\n27667 46488\n9175 66094\n56081 61658\n2551 84176\n23973 59213\n15616 79996\n76733 77106\n26471 31706\n55613 81205\n40358 69644\n1315 59895\n27513 47971\n32113 60028\n33057 39944\n33783 79493\n37314 75908\n35439 81454\n2062 68095\n8952 77772\n63106 79888\n3312 63281\n43281 54224\n65939 81188\n31562 39070\n71729 85988\n74186 80604\n56068 59634\n47053 56264\n11667 70508\n29772 85377\n12815 48016\n52436 73056\n39008 54751\n31805 44453\n14963 71960\n4714 8767\n59430 71996\n34403 67653\n25294 60909\n66609 75874\n27530 44788\n35096 80333\n53571 65576\n3607 28493\n18724 49393\n32142 70138\n1752 75061\n61334 81195\n5619 68014\n20491 47168\n29396 41074\n45765 64233\n55557 58907\n28158 76173\n17955 63680\n12365 65034\n39186 63103\n4701 53353\n23343 47343\n14947 69277\n31881 49993\n38002 83394\n44182 45298\n33129 39445\n13657 65042\n46537 59039\n9883 50254\n21078 27508\n504 40760\n19269 52985\n19160 49082\n8486 71287\n19196 82613\n7029 53332\n63721 63969\n28130 67049\n56122 59448\n303 31393\n31882 56185\n11607 28107\n8660 41018\n31912 53331\n22873 25863\n13476 37652\n68146 79721\n21113 60294\n2845 77354\n54280 69665\n14114 47729\n36162 56033\n46834 83293\n54026 72508\n10116 51227\n20075 70736\n21566 81257\n25239 83985\n3004 36091\n12377 70799\n5467 35510\n7297 23616\n32553 66642\n9050 82981\n13053 45468\n12441 46883\n8961 14720\n37820 65365\n6701 8829\n48895 59267\n33422 41550\n24971 83897\n19458 41742\n48494 62335\n76364 78748\n55668 71919\n12513 32961\n34526 41854\n31831 85996\n35712 51229\n5825 47866\n46223 65221\n57194 73630\n6716 35906\n58712 67317\n28998 84769\n44630 72739\n48188 74569\n54262 80391\n16020 57863\n4651 54943\n2851 50423\n55631 75731\n41106 76393\n6999 51874\n12368 38106\n27040 77641\n25576 47650\n4244 26324\n24777 44982\n55566 64012\n7303 67392\n41458 67143\n33368 51840\n71579 84464\n34174 65806\n35356 54510\n15972 77706\n20894 22884\n11275 63429\n15517 35059\n8648 45881\n43804 47860\n34542 34966\n12034 28258\n14173 84848\n46405 67805\n22236 73819\n18073 49533\n52082 58268\n50784 62056\n20437 49718\n22295 61812\n2776 22522\n9488 32572\n49697 50362\n22080 48306\n40493 62557\n71010 77660\n46311 65728\n12860 55865\n1095 2984\n48218 71880\n32088 62380\n23618 78202\n6634 14280\n39486 61755\n1534 83995\n5128 47865\n26165 66492\n12377 46479\n12590 55125\n38139 44225\n41510 62086\n56352 62458\n6582 8123\n4428 64251\n18494 74373\n24988 70987\n20489 23848\n35814 47345\n27658 81549\n19350 47788\n5860 11807\n28431 48489\n1831 72239\n29889 32807\n50374 53215\n12368 26449\n40211 53682\n32664 56444\n38588 59259\n57803 63790\n16647 32093\n7544 70345\n81168 82154\n2138 21079\n23767 80713\n36376 66534\n26139 32996\n9856 53677\n3095 70858\n4794 52855\n50153 83962\n5480 64852\n11510 84680\n24755 26353\n77797 84074\n36478 46697\n16435 39637\n25628 46310\n13036 81234\n5240 41713\n21645 84544\n53106 55174\n62016 76147\n34325 46873\n25854 54141\n15117 74023\n35446 52202\n35021 60357\n23112 36765\n7272 42644\n52523 61916\n45113 78185\n51659 69879\n53348 68160\n5449 41720\n34404 50147\n69658 80894\n2972 68910\n23727 46074\n16960 20454\n44731 51028\n39655 49830\n3605 12701\n3459 27756\n32401 46984\n7693 58636\n742 8622\n42363 67741\n11520 44605\n94 25615\n61362 68698\n8250 62402\n12021 65550\n16219 71487\n40074 48774\n75073 76050\n63019 73680\n1419 34080\n33211 62513\n14453 68673\n12842 78851\n14056 49116\n10250 63457\n11773 28758\n8925 75991\n17811 60293\n2180 76859\n7688 77684\n17528 79896\n62498 78731\n38182 64535\n12028 49510\n2788 41952\n18853 70250\n14377 47831\n77947 78510\n40997 84004\n18220 34545\n3319 58463\n23751 29516\n34390 36195\n55075 64352\n4549 70193\n18332 42608\n33458 74515\n14781 33493\n9348 74795\n50489 56207\n59949 64271\n23948 71061\n633 64607\n26024 53706\n19187 24001\n7297 23065\n6255 36717\n14941 80195\n305 9313\n24275 39908\n30268 53395\n31055 52024\n13786 21475\n58463 79490\n48988 75825\n65 34011\n18424 57089\n49534 68356\n43241 62017\n56593 84902\n17524 39944\n7734 41728\n29595 65515\n30274 77626\n56243 78354\n58999 85201\n33740 37965\n10125 31077\n11414 66990\n35712 65453\n3905 61950\n21208 47625\n5714 62965\n28625 74851\n13616 23788\n15816 80778\n27820 47959\n32833 36730\n31368 58326\n40984 78916\n19880 71045\n3733 21260\n6171 36900\n11798 85053\n6225 62753\n3915 57410\n12062 33271\n11469 82820\n38061 44700\n13391 38926\n16912 29442\n59902 77288\n15924 34600\n19654 73123\n8628 37383\n30197 36326\n19785 78128\n55107 85256\n33700 73005\n26054 80913\n44254 76614\n11777 47673\n12288 69110\n2328 13167\n51660 81948\n71657 75848\n14683 49793\n55478 78891\n24657 52062\n26164 82384\n16886 73076\n72134 81113\n74786 75625\n20533 43321\n231 13578\n63041 83571\n5145 16494\n78007 83877\n6857 57006\n19298 41146\n9778 82231\n19596 32982\n5791 55210\n22323 63494\n63620 84618\n13504 62499\n66035 68790\n21749 25074\n9689 68479\n38029 77334\n10435 29498\n10262 84338\n6521 77799\n17127 83467\n24391 75667\n2083 13881\n29273 66525\n37654 44387\n72205 75300\n19911 28417\n9357 77164\n7443 65332\n6904 68091\n67313 82650\n633 17202\n7925 84533\n14522 52131\n53024 71441\n3247 70580\n39266 60537\n51565 68876\n22913 26644\n39284 56173\n57546 78104\n39722 53765\n19125 44821\n4123 61585\n61415 79604\n9667 49756\n2257 27908\n22642 54012\n60656 72641\n33686 43184\n36822 77200\n42717 58204\n31669 40784\n28759 53740\n57642 76538\n49120 71824\n28192 39361\n34269 47220\n5865 14457\n16576 61842\n12723 65020\n13584 55173\n47605 81966\n9595 68790\n15409 55782\n64312 75172\n1419 46956\n40826 75475\n61493 75249\n56706 78126\n33443 40335\n22057 43775\n8342 40918\n10082 47083\n21801 21966\n15638 65446\n5949 60154\n10382 85984\n5067 79190\n52725 81249\n36147 85699\n40863 42338\n68038 72226\n52049 81496\n41419 43427\n5499 19236\n26520 27623\n11185 52164\n8533 13726\n40979 60803\n52747 74693\n13708 63216\n34509 81195\n63027 80954\n14831 24540\n39867 59178\n36020 57770\n28721 35061\n1299 32506\n43902 73783\n60984 73482\n3746 46411\n71543 77276\n4884 60982\n22078 80112\n2446 71500\n4866 54426\n33888 80250\n34430 49704\n20463 29527\n4299 21066\n5313 6545\n925 1311\n53066 64716\n752 64371\n64047 79741\n51925 56664\n36448 43968\n30798 47811\n31203 43915\n3643 10014\n58712 70106\n729 7460\n19556 72327\n17958 85804\n29340 56733\n40805 64617\n18649 31316\n15330 23890\n45452 58157\n8676 73343\n60081 70953\n19533 45704\n10739 41699\n13013 66199\n50940 82605\n24697 67790\n11032 54721\n38400 69209\n60332 85058\n11196 51645\n49060 57476\n21480 51845\n9885 46533\n23941 44135\n11996 81485\n2426 10528\n62331 77708\n48022 63604\n13626 78016\n38021 62519\n31441 78680\n29331 37288\n16207 66959\n21258 47499\n33396 50724\n38668 74987\n33734 75780\n6142 16429\n24819 52311\n11048 73264\n16958 54147\n30461 65780\n25817 69616\n14721 21460\n17673 19628\n11611 77921\n54974 78168\n17704 35175\n12848 20736\n26822 66738\n42738 78143\n58925 65452\n22874 72598\n3678 31342\n52444 70223\n79420 84580\n61915 62162\n67743 71399\n12310 14531\n27313 51356\n45743 78193\n36903 72592\n698 34680\n21655 67432\n47477 72611\n14892 18396\n58118 72450\n23402 24454\n212 18396\n36816 82804\n49967 81141\n42885 51258\n18134 77147\n1305 2197\n39636 70239\n7936 74222\n4236 56339\n29890 74357\n40882 42331\n45207 60200\n165 63877\n42229 84835\n22740 50510\n13572 85970\n29910 81885\n14323 34231\n71323 76824\n39375 62689\n55383 82662\n5626 27027\n43760 60444\n7841 31803\n46673 50965\n18459 64116\n12307 53151\n51225 79955\n60300 66179\n43894 57887\n31372 72867\n8218 39494\n20105 45686\n56137 60991\n50298 84304\n91 71449\n48682 55928\n17303 30825\n3089 49528\n24937 48339\n6879 52247\n10126 42075\n52716 70890\n24665 42569\n25670 80105\n15283 31591\n59818 83038\n37526 47130\n9760 71392\n47401 58482\n19593 61660\n28693 67442\n35980 67233\n34089 41200\n25836 78223\n49583 77727\n35457 75981\n9361 49155\n31397 71092\n2215 41089\n10081 84387\n37481 71872\n5806 33664\n54676 85202\n2374 55717\n46088 46285\n11761 24396\n41134 45557\n8445 65728\n43843 58732\n660 6142\n10619 67321\n35336 72920\n13248 32549\n21633 38942\n48801 83071\n29141 74628\n572 74828\n2456 70997\n21179 43717\n20796 70171\n9396 34423\n19439 79334\n13811 33978\n32320 58926\n78860 84299\n50728 56642\n68923 79178\n50209 71609\n35537 74193\n37164 49733\n18116 74998\n2392 65535\n50747 71887\n7210 40772\n20381 73710\n9684 46265\n5574 55752\n50569 83089\n67829 81504\n9989 33278\n46634 76980\n57003 76204\n58403 75077\n39859 62401\n37838 63615\n14918 75898\n19401 29402\n53181 66976\n21105 77211\n37335 55933\n2200 50632\n45351 73230\n74480 79042\n5649 71516\n12699 63543\n45764 49641\n6686 64652\n82168 84157\n2133 16845\n21400 26064\n36318 39905\n13543 54517\n18071 36830\n24300 45702\n34090 46821\n12382 55748\n39971 83773\n26115 81911\n34977 45111\n37237 76017\n34637 41615\n13977 17585\n71833 72651\n3752 71327\n40951 66273\n28662 48229\n2773 20229\n30430 84838\n34084 76864\n18396 77865\n3194 47179\n6013 16167\n46675 49905\n50722 66094\n27039 66745\n10374 58954\n45343 46284\n19148 54959\n46020 51177\n20347 49224\n10027 22614\n10820 29935\n7431 53453\n62008 71118\n22131 60830\n13573 78133\n34157 57250\n9205 40743\n28840 39735\n34090 50445\n2192 4741\n43787 84433\n65332 72006\n56928 78232\n3354 10976\n36817 83961\n43507 71817\n13000 21107\n6783 26254\n56509 56854\n14606 27467\n11380 13844\n45179 48256\n13270 41693\n15775 77112\n7390 76017\n18237 31366\n55743 73824\n13136 47188\n1534 55484\n19543 21253\n68995 71486\n9098 19527\n46075 50320\n11413 72495\n3783 10819\n5080 24317\n8472 51796\n4700 15299\n70976 72448\n47469 66553\n11504 69489\n9887 23530\n53683 66617\n30758 84151\n69078 79732\n49155 70274\n24572 36321\n17615 62050\n5053 31498\n6087 16419\n53089 81540\n9401 72820\n4061 47597\n501 79138\n62832 75434\n8604 76696\n50178 78742\n2560 38298\n18924 63119\n33500 78968\n54708 83038\n12857 17596\n12407 58752\n25097 66604\n3536 84214\n754 18936\n11586 17666\n17826 21698\n29791 59180\n32111 76513\n2963 16707\n57953 58034\n28402 48826\n4865 56692\n15499 63923\n69683 70787\n428 16698\n7317 57021\n13255 19650\n17071 21349\n72061 82526\n2595 36770\n14138 80549\n20238 36404\n760 32885\n56496 85174\n17014 65969\n69881 73507\n20046 45870\n9583 45001\n8534 68529\n27333 60804\n30409 56327\n47817 85898\n51619 70126\n69270 70143\n50339 61395\n9303 23995\n1995 43452\n73442 79780\n42390 82971\n7789 64666\n71112 85394\n57485 81487\n46702 79089\n2676 67128\n12813 19262\n36920 62325\n35968 79267\n31175 57112\n42230 77376\n54928 58347\n42958 51131\n8176 62415\n57507 67173\n38293 55207\n7639 29358\n58050 66892\n212 73903\n22164 37518\n18876 71249\n25686 81955\n52003 72453\n817 14652\n22366 33942\n67337 72265\n8672 35874\n15453 41164\n13214 65022\n31307 77922\n15213 21711\n24118 75963\n9525 21287\n3716 9269\n75210 80757\n20566 76896\n45985 69968\n1880 24384\n68745 84256\n11748 42594\n12279 17058\n25622 68523\n44180 69828\n47019 75618\n12861 29740\n42691 44355\n3288 78140\n14755 51746\n815 37341\n12870 20177\n24508 24705\n55407 67988\n33488 51104\n32214 55287\n28634 46346\n3589 46923\n19426 19743\n21814 65667\n15458 61691\n23167 36470\n4883 55828\n9283 65961\n9610 66063\n38011 75244\n17722 48368\n26907 84731\n35704 73436\n53341 63352\n63569 69608\n4179 40906\n59140 82556\n12343 65217\n46061 72441\n10126 36288\n11117 75239\n41780 53706\n76721 80676\n27144 72160\n11051 19009\n25591 42637\n72640 79308\n28990 37869\n41512 70612\n34917 77967\n36706 38327\n22965 51009\n14483 19736\n25408 46506\n3567 9927\n27558 58713\n12119 58420\n56127 64681\n47496 81710\n8270 58734\n3025 64919\n3107 30741\n26390 28026\n13567 51925\n38010 82856\n1336 2638\n2397 61041\n1023 21081\n20127 68307\n47531 72544\n1024 69367\n11780 36465\n1948 8784\n68463 72883\n41698 60226\n16974 25231\n58519 66594\n26984 30505\n13672 34570\n18640 84806\n31270 53536\n6100 74303\n18186 36160\n37429 47274\n41307 70061\n18937 21377\n27103 43582\n50404 81237\n43546 63117\n4617 44651\n65416 70602\n2058 27095\n14191 67170\n74 16612\n33460 64369\n4729 73081\n6562 71008\n46617 59714\n4001 18895\n71524 82564\n1523 34559\n56764 76654\n1061 36940\n6600 63085\n49484 75913\n26950 46842\n45872 60573\n6951 25624\n69460 77927\n25494 50352\n9930 69811\n34655 80521\n1010 64114\n27702 76841\n19182 25867\n8076 60748\n638 22475\n66517 84395\n48266 50901\n40156 57903\n46898 85668\n27977 30972\n12269 50779\n12078 15469\n59538 67793\n29326 38998\n13242 19502\n28360 40506\n57431 66343\n17557 62229\n27875 32284\n20164 57851\n29359 65378\n3239 37930\n8636 46540\n12700 44624\n40906 81384\n47010 61385\n4846 26889\n55084 84441\n36161 59619\n13598 46916\n53940 61641\n18609 33138\n66423 71056\n26615 84941\n18203 55474\n5912 47059\n1226 15248\n41948 83168\n33253 41231\n35947 68785\n4853 22897\n16421 21840\n31894 68187\n14157 28490\n8590 59443\n54485 60905\n10764 45178\n20521 79484\n52069 82976\n8890 42858\n55030 82306\n12410 67996\n1969 41926\n55942 60216\n47580 60719\n31834 79556\n19396 61132\n10967 74983\n4957 75878\n4348 54490\n8883 28900\n24196 37919\n11063 28454\n52674 75528\n22624 73722\n50872 68357\n12769 66753\n70161 80181\n35918 82028\n26177 64446\n29895 37461\n34313 41044\n21934 82498\n16857 79141\n18690 65144\n39947 48880\n13986 19268\n61832 72370\n39548 63821\n10449 79971\n5189 78483\n10014 56462\n16145 36439\n37620 71023\n2200 47105\n39647 55000\n21637 38999\n33410 60312\n27373 27623\n60309 62111\n29164 71299\n5458 80608\n32553 46801\n3653 52552\n25044 84404\n4935 13773\n49048 68546\n23803 84226\n20244 68956\n34044 81541\n4852 25168\n31197 64156\n28780 31484\n28280 61710\n68218 76134\n68558 85180\n17151 65365\n23318 43633\n16053 77010\n33688 74168\n30940 44322\n23007 46762\n23711 64881\n7401 45795\n48392 64032\n69039 82970\n20373 37298\n43471 74155\n9192 45686\n15225 42509\n43218 57516\n69021 80588\n13772 65003\n50956 55476\n37122 54256\n46838 50036\n69491 70634\n32968 47774\n29242 71421\n9095 19427\n33430 63568\n36206 58265\n27578 73716\n182 18170\n1617 60545\n11375 68806\n14353 80892\n40983 53315\n24282 26037\n24440 36794\n15205 35345\n28574 49402\n1488 24573\n12601 49919\n37793 82164\n8939 10220\n4116 40168\n46766 56335\n27294 64135\n54977 73234\n28116 58372\n47966 65208\n1246 41089\n7952 79838\n60181 78970\n33381 53344\n49582 78184\n25610 70212\n177 19043\n65643 84265\n6553 13494\n23741 31788\n2030 40063\n25208 79946\n29033 63079\n15768 17949\n52038 72203\n13978 55833\n30286 48093\n42194 79549\n20577 47314\n24331 30386\n15 35922\n72274 74952\n25849 65595\n4341 45973\n5052 27292\n20219 84182\n8174 42429\n40844 47188\n35449 65633\n4861 65771\n47609 82390\n39669 68157\n26170 27452\n10208 63252\n61304 63850\n240 50003\n28779 31748\n14863 59641\n70770 71283\n30456 36438\n4194 7775\n7546 22250\n75568 79067\n29430 41277\n24868 32460\n4102 23516\n3034 4427\n48940 62018\n14733 25825\n73229 76119\n64074 72510\n1441 80715\n7259 78705\n7238 72396\n13614 45306\n29027 76026\n33449 48208\n952 12880\n1362 47655\n13334 14885\n65354 67644\n41197 66820\n50184 53900\n38348 73393\n29306 35562\n65916 66571\n34805 75703\n77427 80283\n15668 84031\n19970 58746\n36733 73637\n62229 69891\n49842 61242\n321 6592\n21710 70281\n23960 39671\n16954 29872\n66237 69512\n31774 75897\n52495 54621\n1398 70672\n33615 73952\n42457 72494\n21184 31778\n16395 56592\n36009 55108\n13340 19016\n41703 68424\n59892 73417\n40326 82513\n7076 72442\n3769 14536\n71366 73035\n63593 78681\n26966 48056\n31955 82341\n1849 74780\n8178 58023\n57468 82799\n12973 43417\n40464 62290\n13116 68944\n27722 29872\n9443 68076\n61360 71236\n40070 81952\n5923 22108\n4650 42325\n68070 79393\n8659 15419\n27452 46575\n18922 20477\n613 37401\n18556 78970\n17847 32286\n36393 38947\n37224 82629\n297 85239\n37578 57095\n17093 19740\n18148 78414\n11091 15482\n16015 54407\n5042 45845\n65834 83007\n3691 9647\n21013 47368\n21347 58563\n22457 66980\n32199 83936\n1147 43539\n22986 69431\n7267 85763\n21237 60056\n16568 43885\n53569 57815\n28353 56272\n2207 56526\n7761 58199\n15770 52462\n44200 69231\n67570 69805\n85816 86005\n58656 67573\n11589 61446\n4773 84051\n14743 27197\n49258 65029\n27810 79881\n34435 67740\n52264 52640\n39277 56754\n18518 36995\n8930 76504\n40557 59081\n3725 55077\n25648 42030\n40249 40375\n68400 71320\n26350 73206\n36903 41834\n29305 56187\n55760 68595\n27992 42952\n17449 64119\n26822 32533\n20813 36821\n30414 41535\n55904 70768\n37936 55486\n3121 74057\n32058 42918\n13675 16221\n50402 62083\n10627 23639\n17662 46260\n48138 50702\n23783 42507\n18864 57989\n81116 82985\n22336 83863\n16928 57271\n19308 67134\n16705 65660\n28330 28358\n57804 67449\n6651 59664\n64712 70154\n36442 62039\n5641 52986\n15948 44622\n13461 59432\n23930 35443\n6379 21422\n45626 67162\n19776 62527\n26563 43814\n3906 6188\n18445 21850\n29022 70259\n27228 75834\n4950 47056\n39582 82492\n25919 73538\n54098 61137\n9833 55570\n50665 53739\n55019 59466\n51679 76489\n67578 74925\n5727 37400\n40414 85266\n79 14760\n16073 56966\n11317 26834\n22352 27995\n417 78981\n2756 71070\n44219 61655\n39515 42516\n51957 76750\n31708 38762\n63694 85141\n13027 55470\n14527 62447\n6566 7664\n17391 19291\n29935 73382\n22279 83150\n23234 42875\n37570 46508\n33183 82514\n17591 37758\n4809 34442\n47754 79723\n1318 41554\n2069 77782\n38839 42610\n3535 7461\n73234 81277\n40850 44802\n65871 81482\n9794 10600\n52778 55416\n11260 13599\n47806 57378\n1745 53053\n52029 61069\n31581 82561\n11523 17064\n34558 76326\n2555 42063\n51269 65064\n39148 67341\n64825 78096\n14563 36796\n48204 61872\n7135 11242\n31676 77459\n2718 9058\n36264 59678\n51748 65535\n14839 66500\n46307 60536\n34000 83222\n69311 85505\n44902 58831\n11928 77323\n63600 64590\n15595 81985\n36606 78138\n408 39410\n29993 78264\n14519 39871\n16295 78332\n40336 78460\n6269 36946\n56864 77563\n15106 55038\n24626 31503\n24974 38167\n23591 37535\n39693 45662\n23168 42751\n37027 42083\n34069 56138\n39801 67449\n34287 45879\n27672 30107\n17708 68488\n8792 33406\n10555 63766\n81647 85987\n4766 22566\n26803 36857\n6866 41121\n5228 44238\n52922 53580\n37107 64394\n39149 50994\n27559 72781\n6492 54143\n40849 41717\n25723 78507\n37454 74133\n37649 50618\n49523 56659\n78899 79778\n16801 50446\n30813 38400\n25422 67833\n40837 85074\n63429 73294\n10726 51556\n46129 46795\n55813 60834\n23879 85762\n34856 57879\n4318 12847\n55662 80710\n62397 73065\n14592 66498\n31890 81664\n66709 85389\n17921 24525\n10304 69084\n5447 15466\n15102 54569\n49305 55259\n28489 34325\n45580 58838\n1285 81931\n33923 46111\n8582 53612\n18792 50026\n23608 66850\n7273 41704\n5990 57321\n40611 85136\n11699 66755\n8623 29414\n8104 65362\n2378 6739\n31623 57693\n36578 67715\n40193 61956\n16773 82284\n10478 43107\n26099 61887\n25674 52182\n36161 66097\n62145 76079\n1335 23139\n1121 85128\n7219 25468\n27930 50647\n24775 35417\n31977 51453\n33622 67867\n10314 71125\n33949 40433\n53665 60663\n18469 27502\n27791 28785\n9206 59341\n46230 78688\n13160 43551\n45006 83243\n17642 18674\n17811 18164\n26077 38922\n50034 74786\n47834 75446\n40536 81620\n36152 70608\n28771 84815\n17100 58366\n13533 43786\n11380 37197\n2593 44456\n31009 44220\n37212 70280\n35740 57134\n18394 70211\n38846 73370\n15535 61793\n66653 71940\n3373 49105\n60803 84156\n19770 69521\n31211 73664\n8859 66111\n13817 25997\n30137 80928\n2199 21446\n16211 21140\n3403 63302\n19122 34889\n30806 76127\n21762 70219\n39795 50290\n57826 82981\n32579 66893\n35648 66085\n57192 83475\n63284 65558\n34990 76784\n38191 78862\n372 7910\n15161 63545\n6820 50858\n76399 80024\n28199 82948\n3011 6034\n34570 80602\n12310 35364\n61618 74666\n2775 12127\n35450 82750\n4522 12472\n69167 83540\n6181 83067\n75115 79166\n7186 8772\n43390 65240\n2604 76489\n29181 47939\n8490 44909\n43129 76060\n15797 70159\n63743 64233\n826 83658\n22141 63050\n22764 69732\n23549 72101\n20075 48843\n16674 75502\n18447 36063\n16291 18508\n61832 85507\n13087 19365\n60479 70165\n81036 82133\n27365 84946\n39213 47553\n16833 60534\n3337 48957\n19299 36048\n59584 66730\n10427 30881\n24777 38227\n1450 43697\n33461 61031\n26382 32061\n39355 41215\n24643 35777\n57252 58013\n27034 79827\n45155 79988\n7952 80512\n13491 77356\n29047 84574\n36605 62566\n37044 67760\n49455 70466\n2699 31825\n4648 85588\n2664 46235\n56077 75076\n51480 80652\n57702 63943\n890 50773\n680 51704\n3906 28443\n62587 72011\n40353 78210\n76870 85623\n5428 11334\n57167 66465\n27690 68576\n14562 64885\n40515 75654\n25162 36751\n32104 75999\n17967 22038\n46583 55858\n2531 49993\n1840 70882\n16699 38027\n24358 60647\n11472 62714\n18407 56655\n52294 63438\n67600 76135\n6367 9241\n14393 21726\n46884 69414\n11805 54253\n29712 46538\n32939 59479\n74973 84800\n71700 84087\n18384 19016\n24139 56343\n78459 79684\n33814 47693\n25905 47966\n8073 19231\n18959 59703\n41194 79021\n25990 44777\n2866 43755\n50346 57967\n13211 33373\n32096 79407\n4281 34574\n22337 48616\n27908 73139\n16946 75137\n3055 52438\n30998 52023\n29149 85888\n3619 74034\n45684 78666\n14600 38889\n31648 73448\n24009 39947\n66886 69839\n25044 56296\n17287 36755\n12607 20962\n67630 76327\n37002 58675\n14413 29208\n74006 75023\n7559 79390\n17507 55671\n4035 82936\n38679 45633\n26606 77698\n37787 62790\n7247 47245\n40156 50710\n6596 17754\n37058 64266\n34794 59598\n570 31015\n47322 68270\n41179 57353\n26677 57635\n32568 81409\n40855 70055\n16714 27031\n15787 49171\n36597 41783\n45747 69572\n42766 81716\n38002 77815\n11778 36452\n11831 74943\n63719 84884\n64540 70925\n12528 41920\n15924 72490\n16974 41312\n7643 47039\n13877 74520\n13644 45673\n45490 70819\n27560 79701\n724 13365\n6590 34954\n55390 68480\n38603 62000\n36221 51853\n5163 10315\n4576 17464\n53378 61088\n5368 9931\n38339 48684\n38201 70216\n45871 79585\n11794 52925\n55943 73603\n39384 40070\n4748 26533\n71828 83541\n16318 30581\n61070 83003\n29913 69315\n17819 20466\n70621 82468\n4067 10523\n50196 54162\n47230 76078\n73070 73625\n22340 61764\n7112 62718\n61431 83224\n28704 78370\n16870 50458\n37366 82611\n16539 40222\n59837 83591\n5335 12458\n52457 67837\n66578 85528\n82670 82735\n8760 11268\n12600 35001\n11973 78676\n56103 71861\n67797 78628\n48350 77106\n14188 66498\n10612 60399\n56486 79118\n9644 74470\n1311 20290\n62988 84735\n3026 56490\n14750 19966\n29658 66014\n1531 65007\n17032 57659\n47368 59411\n9318 78189\n30332 31362\n31696 31756\n19625 20480\n80552 82593\n25126 32064\n20177 82005\n13092 47237\n49941 71997\n48064 79086\n38957 75208\n51727 70367\n32955 69496\n51783 56383\n11809 55939\n11528 75257\n3181 42958\n51053 51456\n34759 38243\n41566 56223\n1393 15425\n16361 79270\n61580 83427\n37712 64502\n5185 13281\n13029 35673\n2902 64768\n13187 70039\n23232 53024\n14712 21299\n11056 40128\n46601 56105\n41920 45271\n25857 38697\n58701 70981\n52455 71373\n21494 73808\n34381 85305\n23473 30188\n56440 80089\n56096 72880\n65520 73963\n14452 60997\n49192 82003\n25559 50867\n32421 33113\n46744 66122\n7868 50833\n60628 82781\n13882 76815\n49250 62987\n11750 72931\n22607 29578\n1454 38603\n2682 36697\n42260 69693\n12508 17062\n49929 79200\n21229 36493\n7260 75832\n55572 83283\n30047 70738\n29415 42252\n23029 63597\n54199 78681\n16816 36344\n1344 84651\n18683 53947\n4608 47058\n12179 76160\n52188 55989\n28625 76937\n8300 66266\n5353 29533\n20365 82629\n596 27256\n51693 74459\n12455 31005\n39101 48289\n5800 68071\n25941 50788\n31619 59694\n22023 36112\n1526 61157\n9565 36953\n70572 70859\n1366 25092\n36871 74162\n3327 31839\n901 77052\n49887 62682\n13279 85757\n23839 30515\n75669 80948\n1577 82523\n1110 55792\n69771 78901\n11227 31760\n474 6656\n13182 27657\n8985 28253\n42666 53200\n55746 85091\n29044 81595\n39671 70649\n32296 49554\n59533 63139\n31246 67129\n19356 35566\n18970 71771\n45019 52537\n9675 12875\n13771 85429\n8901 75886\n7043 42234\n4070 58217\n52331 67613\n6386 46615\n18242 73826\n31000 62753\n76228 82867\n14700 18379\n1266 73908\n19583 83343\n26128 68963\n32416 74783\n36707 62147\n49580 58702\n34600 47975\n2847 49480\n19053 61758\n37500 37959\n12308 79128\n76028 79640\n47069 78042\n15274 78688\n760 29306\n5106 55589\n53764 58409\n65081 84359\n39548 48647\n56496 62056\n54540 57592\n18985 29780\n2173 8838\n57721 67486\n39676 42933\n62133 84061\n37830 47938\n37005 81828\n44653 51515\n3191 12443\n31188 32049\n8632 33225\n8757 47204\n45695 82767\n1668 21373\n42983 49827\n19875 49475\n59748 65701\n23386 38194\n29162 70357\n34263 34824\n76222 83417\n55131 58207\n20867 72335\n18732 19401\n45717 68085\n58878 75664\n63158 76255\n3609 54333\n23644 60285\n848 82079\n41433 68395\n43563 62752\n21970 22335\n65945 78947\n15011 32103\n39105 85355\n45666 48994\n16913 77266\n1767 76134\n8905 47470\n54353 62631\n7935 58035\n6682 56330\n20049 60046\n20115 63750\n23657 32251\n30993 51240\n2540 79780\n14174 38277\n21779 55770\n28942 39156\n36822 36836\n17620 26735\n3695 41033\n11896 43329\n2098 70805\n5696 68595\n12368 64165\n26772 40508\n18190 34233\n46778 61251\n60879 77712\n6432 56855\n33737 60501\n21043 76754\n18354 55947\n29702 81804\n78514 80305\n11594 26384\n20602 35666\n32841 49818\n38953 63538\n22439 42311\n50280 62443\n65721 70650\n19785 80019\n5023 50394\n20529 47887\n7444 13579\n8176 82050\n40932 56227\n20085 70950\n11578 57038\n2569 8610\n10123 41633\n55274 71628\n51649 53529\n37432 83716\n15387 15999\n10406 53086\n55166 76024\n48247 64283\n36240 53658\n45652 50421\n48200 65139\n50655 55461\n74197 80571\n14109 84306\n47635 75173\n59830 61210\n62728 64866\n9025 11099\n58211 59948\n50926 73692\n10220 24248\n14290 72835\n34827 48082\n34156 77877\n16080 18309\n2583 56793\n4503 20875\n51163 85606\n13434 62742\n46737 67411\n13186 25374\n10212 51688\n12100 19149\n6600 28117\n8572 34222\n13894 69644\n50427 55804\n21272 60895\n18749 53574\n36647 77981\n74023 78553\n34763 61356\n23266 57726\n2331 46067\n3916 37219\n6295 82343\n14091 72780\n45844 67503\n38613 44072\n37000 60600\n6500 57805\n49368 67271\n40545 58624\n38910 66880\n37053 61945\n26317 31178\n45569 76663\n49683 69139\n47696 54990\n40407 80536\n29777 54321\n49304 50814\n36535 75639\n1809 47848\n3512 37309\n15065 31279\n56118 59083\n40592 59743\n9889 58319\n28126 28220\n35842 76478\n8339 46148\n8059 76706\n9767 73031\n10251 41638\n61406 68715\n2349 75122\n28785 45585\n45383 60687\n2197 27907\n29645 79951\n7500 52914\n14732 49388\n21109 30537\n17318 40113\n12580 33186\n15698 76718\n27102 54151\n41403 85395\n62391 68882\n30374 39856\n16613 25674\n12411 17415\n11895 22167\n1193 3677\n16070 61627\n14165 79268\n14517 53391\n68491 79180\n47278 84380\n65672 73838\n5996 27939\n32442 45724\n6993 64288\n14064 56177\n10941 23227\n46269 69583\n66520 73723\n45854 60723\n59598 67617\n10353 46113\n63897 66303\n53371 55657\n30670 54887\n45683 67901\n19859 35872\n24134 32658\n36395 63920\n40263 67408\n270 15992\n7234 14886\n27725 68652\n4997 63095\n45439 49341\n31766 53196\n26725 34136\n4364 16161\n66711 78829\n34521 38016\n21316 26165\n71080 81034\n488 42690\n17173 49856\n11950 83723\n6117 6482\n16594 61400\n2356 74836\n67726 67770\n66920 76118\n33652 36970\n27518 39230\n15242 72391\n774 46478\n25869 75922\n45091 84755\n20044 35916\n9042 28600\n32681 85627\n12973 42064\n9432 14187\n45945 69361\n24455 77044\n55241 84958\n32776 78948\n9347 72109\n59912 64596\n9337 58039\n21104 55577\n4055 5009\n21035 60747\n63904 66473\n66514 81796\n27188 41147\n9517 13529\n67690 84861\n45701 68892\n27416 71568\n36036 40553\n41997 73516\n18575 61888\n658 78516\n18320 22663\n59209 69012\n20942 59559\n2447 79617\n4710 11816\n48596 52014\n34813 65991\n15261 83097\n59242 62201\n22529 40018\n67899 73220\n48368 67887\n75689 82427\n35571 42468\n7509 17728\n50298 70589\n54884 74578\n27024 51562\n53291 81748\n5169 12741\n21520 76972\n77526 82260\n41492 47602\n3134 43716\n16892 19986\n2066 57589\n16728 42576\n29439 70786\n76168 76340\n49068 81767\n46411 68033\n2805 64561\n484 57949\n23554 61643\n16962 72590\n39139 55165\n1129 5056\n55733 74304\n32775 82258\n6698 48688\n66155 77267\n44175 55931\n4255 57268\n10423 14016\n8522 32497\n36608 70853\n24311 60185\n1282 62221\n565 23286\n19229 80594\n4533 63234\n41212 61872\n23260 72116\n12705 22223\n26349 55576\n44641 78931\n75800 81531\n66908 70658\n14975 19765\n18332 45026\n22725 69631\n3457 18831\n56382 83211\n52082 76025\n64316 71192\n46108 54562\n10355 36348\n5550 74946\n27895 52730\n48555 77436\n16222 61008\n57718 75669\n5294 60607\n24117 73551\n25248 74896\n32874 42166\n44440 74830\n7703 59403\n42651 79271\n77745 85454\n24902 67271\n30242 40905\n39729 76433\n28380 82537\n41803 60936\n15548 27399\n14137 62695\n60434 71395\n52733 79970\n62854 73016\n3036 58351\n48675 76659\n38534 48311\n80554 82090\n3846 35113\n3699 70004\n2784 5116\n63306 75885\n77570 85233\n14343 70751\n17800 18016\n8553 19411\n11978 24333\n66940 84819\n57977 67023\n11844 83571\n29057 71666\n57524 78616\n17090 36380\n9318 68319\n50653 52945\n11591 15559\n32083 82550\n54077 82147\n1627 81359\n58330 75031\n38606 55036\n47496 76096\n61374 74647\n48448 58751\n22453 43851\n33222 44993\n8760 34425\n35451 60349\n20986 47675\n59342 76429\n51368 51480\n6419 42240\n54261 56852\n26060 44747\n1421 69723\n30557 77501\n4475 51643\n14996 72521\n3602 47595\n34215 43801\n32113 39269\n56218 73098\n42851 54379\n52407 69132\n32043 82229\n11501 60634\n7350 11079\n17881 32012\n40644 85087\n54856 82772\n12511 22698\n21900 64493\n70563 79712\n5497 34352\n46847 67095\n44918 55199\n8805 84630\n58643 59350\n19140 50273\n8091 22591\n52466 53476\n57583 82814\n49061 51207\n4261 44444\n43214 73505\n37032 66220\n60642 69751\n3486 45828\n47871 54053\n39059 67310\n35515 69282\n59621 68054\n28414 71987\n8100 73472\n80202 82596\n30102 33882\n18367 78873\n8038 60894\n40940 75877\n10837 11768\n29311 38022\n14424 35720\n3763 68740\n30750 42574\n19249 45298\n16104 61602\n34255 71906\n45431 51732\n74998 82722\n27532 35715\n2252 63451\n59305 79527\n15449 66806\n23150 46557\n9586 18075\n4423 68520\n33139 61784\n29989 68358\n38962 71996\n8930 81683\n49391 82759\n25031 35460\n53759 57899\n44771 61547\n35264 52588\n9685 59505\n47433 48144\n19348 40231\n7678 77843\n30270 41758\n33390 53761\n3881 53037\n4808 4956\n26082 77623\n11837 15533\n14171 29653\n28342 61575\n54469 76557\n4768 51123\n33401 62233\n23274 74890\n44120 81024\n18766 52223\n26649 34743\n65657 65817\n31628 73369\n36884 70730\n15010 31969\n71467 80551\n43532 63678\n5016 81605\n16262 23256\n12739 27362\n6378 85708\n19144 37199\n24950 52664\n33562 68960\n42578 81186\n24108 31990\n50937 67081\n43811 50874\n79083 83856\n30365 51516\n9470 59506\n44245 77548\n39908 51056\n8089 23366\n13530 68287\n6644 75227\n10643 47559\n42495 63372\n53177 62686\n13260 16059\n19447 40623\n62110 67082\n28394 73243\n70525 75641\n40751 70855\n2580 62905\n28221 53254\n17678 19812\n54703 74023\n66773 70677\n41480 80651\n47811 49215\n71163 85405\n11711 15158\n54182 60231\n43781 67708\n24264 41763\n28090 45427\n18415 84075\n46857 48828\n8604 66929\n26012 70576\n33621 41138\n20519 43706\n47996 78969\n39436 48314\n21500 31104\n47785 65617\n7221 41756\n17993 79021\n6226 81177\n10249 78042\n16967 58762\n37183 79188\n21099 48425\n17434 61655\n6727 28898\n36558 46374\n26792 38384\n30052 30533\n8499 17580\n31387 54250\n56332 62936\n5585 38390\n74459 81424\n20042 64487\n31879 53275\n4651 69132\n10365 32558\n3609 66224\n11704 15829\n42473 64117\n51274 76932\n82283 83451\n7435 42878\n58740 83699\n1906 70671\n40616 60729\n25685 38340\n41082 61506\n117 15065\n8482 67331\n26944 48714\n54132 78114\n65880 70552\n43529 72289\n51161 61521\n17340 32745\n34208 54998\n7976 37065\n78753 81797\n22813 65824\n82683 85315\n55634 75145\n20410 54767\n48861 56216\n51066 83361\n24428 73454\n1081 81986\n16408 55816\n8520 15997\n51441 53523\n20147 20923\n9632 60802\n49875 69827\n2245 25419\n32503 40612\n1197 62346\n10066 71387\n8394 22969\n53350 79105\n34137 81557\n23514 25975\n34507 59810\n36107 83815\n42175 54789\n28648 48047\n49327 67041\n26764 54201\n13921 71257\n48208 60315\n23535 25293\n36400 71369\n41896 48022\n7208 33457\n23573 38695\n48923 65803\n429 38935\n76144 84390\n13176 82201\n7442 28142\n21839 29227\n3596 17288\n26125 51800\n7937 29806\n25146 30113\n23874 44972\n13840 54512\n14162 43690\n54672 71304\n9578 31892\n60530 67124\n47785 83594\n31652 32576\n38885 49072\n27801 31169\n39871 56437\n52081 83083\n19961 33284\n12356 47593\n1412 52621\n18805 68457\n20895 21200\n18233 32052\n33502 56257\n10085 26654\n53344 65283\n71079 77027\n5516 46099\n21202 67480\n49130 77374\n12053 22427\n23459 60786\n11927 46919\n23753 33738\n7105 55967\n21920 33172\n17174 24974\n31280 49661\n59022 60950\n4797 66783\n16372 40546\n49504 72686\n34241 77364\n38031 71202\n27878 62411\n14401 39633\n28272 44122\n2622 26891\n25576 37285\n57684 81258\n8676 65529\n24191 61232\n6867 66292\n31421 59555\n643 22622\n15812 34688\n15451 64616\n63509 64121\n20400 55532\n19977 38398\n5280 85202\n34477 78317\n31847 77631\n68298 84926\n37391 44707\n56695 83015\n8338 69875\n68293 74645\n40592 85432\n70920 77496\n14007 31238\n25771 26008\n37139 68618\n35875 41043\n14019 83235\n101 55851\n73773 75370\n49279 56964\n57069 85109\n57943 84097\n3671 28181\n47298 55881\n43857 53443\n4014 10095\n33635 45588\n28682 62375\n69521 81110\n772 16941\n35785 39577\n27289 80518\n39190 40213\n22152 38448\n21490 34460\n14130 46921\n4169 74121\n18186 44647\n12733 66317\n16018 55294\n57926 68761\n13564 80049\n62014 82861\n22654 56965\n50540 71930\n31488 77578\n884 14223\n5405 84858\n14018 74895\n11904 56026\n17641 68191\n46705 59804\n30745 62960\n36999 54867\n43300 56250\n9190 20979\n11297 54809\n19062 59023\n54824 55525\n46274 55686\n25390 52348\n21147 66080\n16253 18383\n39115 63249\n2280 54627\n53462 65762\n9410 51003\n16155 44527\n54535 71830\n28948 52345\n30579 50407\n56215 65649\n9885 64561\n33153 84030\n26891 33000\n41162 73307\n33585 41888\n50008 64641\n19708 78451\n25063 80301\n9872 58021\n76735 82342\n3571 29922\n21884 22974\n57563 66913\n8292 39889\n68712 72138\n12286 59945\n84402 85255\n25359 80652\n1407 14653\n48595 66421\n55021 61288\n72924 85231\n26069 40119\n59513 71304\n21006 60877\n63493 68132\n4950 4956\n38721 54729\n8198 72470\n40250 54023\n14810 72534\n31995 34696\n5148 42952\n76099 85571\n3865 82095\n75298 84436\n17431 32921\n24717 53969\n58558 62346\n62971 73766\n42516 50622\n21203 27916\n52031 84489\n23823 80053\n4434 38321\n60608 71733\n43910 53276\n16710 52173\n8201 8701\n36206 49379\n24618 51255\n9606 64310\n29306 50476\n25664 52105\n14649 60380\n26841 27714\n21985 65049\n6873 76369\n15344 82983\n19510 43889\n12455 21755\n16266 37992\n30655 54100\n35614 44559\n15757 53449\n1779 10254\n65702 84299\n19203 28911\n45921 84089\n19944 35217\n51565 80364\n68071 76374\n20132 75274\n46544 67677\n9877 33385\n218 76218\n11646 57634\n67772 75145\n57816 78123\n19208 79026\n5873 17144\n17114 65002\n63849 69997\n46839 48792\n13206 53224\n37330 58695\n44406 65594\n11116 45818\n78404 82750\n35024 43415\n1666 75618\n4806 76395\n17114 28528\n5292 76800\n20924 57831\n17047 72991\n33810 54646\n14416 26082\n68507 78497\n7234 76457\n21655 23928\n9394 9451\n7645 49464\n19980 68609\n19176 42261\n49044 69482\n9140 85563\n65144 83441\n44544 76332\n610 14228\n35178 37771\n19290 45652\n11348 39954\n20120 61954\n8750 84308\n48625 66627\n6644 39608\n47553 59896\n37 45845\n73848 85207\n18820 22850\n10270 11298\n44633 77289\n64703 82119\n37054 59994\n21816 77691\n8958 74523\n42839 44637\n52822 61772\n60046 74224\n52613 62791\n44054 55739\n36020 43016\n46847 47101\n10964 19293\n33723 78286\n44625 77761\n17035 76860\n48060 62668\n31327 38109\n12474 65137\n16573 61556\n42319 68234\n54651 76111\n12738 36541\n40258 57593\n20219 53374\n21141 45184\n20350 34557\n40054 63952\n28855 76404\n23721 51410\n7143 84226\n39610 65789\n18182 33846\n846 22703\n63430 73404\n20267 61345\n14676 67340\n63487 67417\n1810 35875\n33224 49470\n37993 68162\n39905 49714\n41205 81244\n17846 82548\n17220 35616\n20918 83477\n10629 81039\n7828 39490\n19155 24764\n13887 32923\n27240 80784\n22021 52759\n47946 50862\n44436 62458\n12952 82373\n10850 78223\n54387 74326\n60246 80853\n10670 79815\n40001 79037\n1386 63946\n44092 73677\n6833 43030\n43459 53268\n38377 73770\n44685 74140\n42570 81151\n54316 58192\n12550 47404\n25211 65788\n5690 60695\n33428 54944\n9379 75125\n40895 81447\n15561 71775\n35390 81975\n48669 68966\n34106 82287\n30198 63634\n15132 50931\n14159 37619\n25509 85091\n12198 75119\n55121 83033\n37538 70231\n21511 75647\n13271 85429\n8299 18593\n9154 71383\n54377 72945\n30159 82453\n11561 76879\n72470 77385\n34383 52353\n17148 68110\n20400 75033\n24850 72920\n15242 24430\n2608 48125\n40239 64238\n6152 37241\n5477 64056\n79594 84263\n8852 32425\n60803 62007\n13530 57839\n26132 38745\n5237 73586\n29245 47685\n57807 74721\n57588 58075\n13525 84793\n35610 72253\n43441 77981\n18501 75204\n30748 54184\n19665 85441\n46123 80935\n8620 85602\n2602 80776\n1622 55774\n70052 84212\n68443 83471\n70050 71888\n37894 48123\n37618 53202\n1305 74450\n17932 46350\n71890 84508\n12421 33212\n68382 78617\n15327 35761\n54935 70806\n66002 75181\n16831 84248\n7339 22989\n27735 30923\n32936 41963\n26455 79507\n4414 39702\n2896 83217\n48819 53048\n44347 74464\n40984 85240\n63516 68310\n70666 82095\n31263 64624\n53350 66477\n11819 47331\n29093 79951\n11678 32547\n19676 81965\n7098 53487\n8071 68057\n6599 66056\n29833 39150\n12147 80371\n48449 51350\n20364 43874\n15730 47130\n5808 18480\n18038 29915\n47798 57958\n47195 81706\n2687 81282\n6533 53456\n34085 75579\n69756 79349\n41003 44781\n940 66893\n18616 30639\n25838 36949\n48065 51021\n20788 64761\n74028 75430\n26583 80999\n35299 46426\n13131 18078\n36365 60172\n7996 59387\n3260 38803\n12786 85265\n42458 65794\n34531 59589\n72982 76106\n8212 77250\n38479 77550\n6298 70514\n16134 35449\n37937 78700\n42271 81745\n48450 68150\n42082 55921\n26411 85023\n1799 49295\n12859 59503\n22457 40206\n452 54967\n4922 37576\n2475 42740\n17561 63056\n36095 65644\n70728 80640\n2977 8318\n65556 69548\n6508 13636\n1442 78478\n15449 56601\n2495 5216\n51058 53546\n4338 26590\n9315 63033\n2503 64130\n35989 84622\n37137 63021\n35878 41782\n13460 19577\n679 13422\n31435 34313\n48159 54943\n7447 72991\n39797 71271\n11498 12209\n1804 76732\n17958 84096\n22909 54537\n21954 79872\n4295 12609\n2615 57314\n40140 43095\n34800 82899\n21204 85228\n73385 81437\n3714 27126\n26590 57825\n3156 49500\n68854 77776\n18258 61267\n45476 50225\n29948 39217\n21880 27008\n38862 65985\n35158 51838\n19867 63914\n10240 22274\n31116 35637\n9102 42589\n5828 69051\n4985 57185\n5455 35985\n11345 71149\n50811 76992\n28450 72042\n50196 77662\n14877 45564\n34315 64379\n10251 62238\n10409 36637\n61881 81926\n33454 38146\n35163 62851\n22878 83144\n51393 56530\n6836 15191\n29103 82804\n34489 83602\n19977 65959\n31204 80823\n19466 38791\n26569 59333\n11025 79241\n51311 82753\n6920 85076\n27072 32283\n66045 70688\n26926 75661\n57872 75057\n72031 77030\n5963 84613\n582 2208\n31669 50749\n54053 67001\n40008 53042\n330 20207\n40164 42660\n880 2132\n33680 53066\n68331 79720\n31905 53334\n10589 61116\n417 3350\n10911 68784\n49506 71134\n25374 64323\n8245 28762\n14823 56140\n3832 24862\n33135 68993\n11853 29316\n15491 55353\n18597 30805\n32309 68881\n32154 74437\n63117 78149\n260 9867\n15232 35592\n44631 62766\n10007 52809\n3212 75239\n1432 10875\n11575 14251\n46545 72135\n57903 78838\n994 13384\n15962 29099\n24438 73998\n23639 24624\n8655 61093\n58060 61193\n21654 43609\n21535 34061\n25131 25247\n23672 70459\n36207 40713\n17287 42391\n35351 71270\n46556 69501\n29911 33579\n17072 50304\n1180 23334\n61694 78257\n51686 81450\n43166 84915\n32908 47136\n3485 55638\n37181 64184\n25648 26207\n10480 34488\n17405 46751\n18180 85570\n4419 81403\n11751 17046\n26714 37590\n8944 78446\n36695 74810\n21576 64964\n27468 44421\n29704 67323\n6888 17633\n1439 61768\n21201 78998\n20783 21249\n4789 75229\n1574 21785\n33604 55867\n29002 85626\n13338 45091\n3338 43113\n53755 57399\n13515 36531\n25864 60560\n60451 62766\n48353 67217\n5577 52236\n9494 71266\n7234 34457\n54503 72169\n33094 33678\n9528 38734\n57875 58737\n21471 26377\n18439 33091\n38303 46464\n51698 67120\n13246 17455\n9719 72421\n31412 77748\n7193 11817\n43700 55077\n30743 32058\n9058 65470\n12370 16926\n7079 28370\n549 14286\n21362 60465\n3218 45180\n9884 68103\n27164 28028\n1630 78521\n48288 60865\n3355 20060\n12851 41580\n25788 81287\n26725 35855\n43936 54467\n54403 61210\n70249 70480\n26203 38917\n53539 53767\n68657 78724\n21885 54842\n42384 79572\n24788 81488\n39531 69891\n27076 54733\n70538 81281\n43853 58318\n34313 70037\n10607 11104\n1138 73242\n11574 28055\n15565 39796\n22201 26393\n44255 54178\n34281 73172\n75024 78995\n12119 60732\n69810 71206\n22852 23522\n23994 53420\n73802 79193\n18017 22089\n20860 51272\n25837 56839\n24808 53813\n49603 67555\n54319 55111\n32289 57253\n71600 74089\n15547 68075\n34558 50941\n12208 33583\n64660 84992\n38161 76541\n3754 38307\n35100 50445\n34992 82586\n48627 77033\n1295 43543\n18937 41806\n43756 80686\n51138 70215\n68946 74650\n40358 47236\n50818 80312\n41255 85693\n43768 80365\n20693 42548\n43105 67434\n51578 60302\n46725 74245\n73180 75540\n36910 57088\n4520 67796\n4929 54036\n3173 81814\n72869 74454\n36392 64050\n13851 22349\n31624 71744\n2589 71992\n36283 68137\n61693 63012\n39417 71804\n52205 83602\n39861 57566\n1458 38889\n52124 84926\n39190 64901\n14670 53903\n35027 68827\n17231 69845\n36477 52452\n39548 44963\n20918 66472\n46452 72614\n34170 35651\n25445 50305\n13222 13886\n12867 47570\n47203 65009\n17090 61817\n54039 54996\n45363 46583\n23538 81523\n43598 79871\n21236 35273\n4670 24016\n6275 39469\n39096 47457\n26907 61923\n13730 39664\n72491 83981\n9912 51178\n9411 85711\n29838 58694\n34990 74919\n16395 31714\n24403 50815\n9613 48415\n51498 70952\n25199 57293\n20995 80301\n56758 65017\n61520 76114\n53562 79662\n3465 66947\n2386 39378\n11520 17991\n26363 33074\n14349 27647\n15709 72919\n3034 9527\n30266 48049\n8635 38047\n6569 72560\n62563 84578\n61650 68417\n22362 47044\n47013 73061\n15048 53430\n53559 60736\n39659 78794\n5515 44227\n72374 82678\n14546 17024\n26851 56817\n49068 54012\n41306 80969\n41136 46182\n55810 80117\n41067 66309\n64831 70027\n32984 68673\n3490 45927\n35854 80815\n50266 73966\n61037 74748\n34690 49491\n34224 76517\n6327 6598\n29787 78640\n17256 37957\n74711 76693\n4151 34090\n11248 74835\n36931 77964\n15370 82518\n54322 67282\n21770 21985\n19932 63403\n17355 43270\n859 43220\n54357 64783\n13 31500\n56004 78460\n11959 13687\n20075 34416\n4912 32069\n16269 25080\n19949 56928\n40941 43156\n18550 30366\n48793 84871\n5846 20238\n2270 19470\n5510 26962\n20571 73872\n32701 78537\n32374 84017\n58028 75792\n42754 45474\n4071 4825\n29287 78973\n5085 30782\n22005 60012\n13139 23838\n57806 61664\n17572 24244\n33748 71247\n37126 62475\n33113 70700\n3479 65739\n47111 78343\n50219 67514\n60571 78555\n39702 62055\n61991 73858\n26927 35602\n65422 74016\n16298 56435\n48727 79288\n42137 46850\n55597 79616\n37338 40131\n36125 43658\n48283 74386\n6869 7320\n69 32388\n56214 69386\n17068 70202\n36131 49567\n21617 27095\n29404 77908\n64795 84647\n13331 22346\n33536 57244\n28264 28832\n7227 59638\n23853 56375\n11340 83253\n4414 58975\n15937 52079\n6415 62661\n12504 21905\n39359 74124\n10001 23312\n74865 82868\n32886 54854\n42493 73939\n75650 77716\n37391 72302\n7854 43964\n1982 10096\n60831 70640\n12244 30935\n5971 78528\n24243 61560\n75925 76467\n23268 43328\n51130 79465\n34208 62831\n13381 67388\n68535 68976\n25819 80322\n3946 85411\n6656 54165\n43324 44774\n42537 79578\n19071 44267\n69753 72179\n28172 62247\n9299 24274\n18314 26874\n67783 69956\n5936 22422\n14234 33129\n7814 68758\n22951 63761\n29744 75742\n21364 62247\n66390 67320\n3309 38361\n24728 29277\n26332 81905\n31923 79654\n194 943\n1448 36543\n29051 36816\n10904 69535\n8759 62933\n902 16807\n201 69593\n28344 66972\n52003 58359\n5807 24377\n28274 40656\n9824 82549\n6386 53281\n17255 71021\n32826 70118\n23900 31091\n24344 64834\n13249 61212\n17320 62062\n17843 39117\n10801 12575\n63978 67113\n45750 60139\n10155 20022\n2931 76822\n11256 78306\n25357 66706\n78709 84009\n289 36252\n72 58200\n41273 64040\n13061 69805\n50062 56236\n9794 78695\n53102 81396\n65771 76096\n18920 68695\n46840 71004\n63437 63791\n15086 75090\n23753 77845\n68145 70137\n2161 76574\n42552 44373\n7193 49303\n3660 81185\n25924 38763\n43168 78597\n9705 81224\n77117 85518\n71250 80533\n30740 59233\n6602 57393\n21940 50757\n7716 66194\n15182 63165\n17759 78244\n42414 53868\n35054 73548\n10376 13707\n18076 71407\n39541 73426\n299 81535\n36317 48187\n62343 69778\n8547 17355\n76034 83190\n30679 31336\n32430 66525\n55505 70889\n47825 56955\n69189 79811\n34010 63591\n11797 71473\n14544 59729\n8234 28088\n25472 69097\n15629 31880\n58234 66295\n1056 64700\n28076 78757\n55438 58565\n42752 62082\n46639 48276\n25929 70432\n10777 59032\n20762 50169\n46061 85631\n60509 73609\n27795 49246\n68722 82918\n45049 60297\n37155 73003\n488 79567\n16704 63888\n23603 26551\n70891 77016\n14694 23139\n39504 57087\n6437 73401\n23670 27935\n31720 35985\n28229 40828\n20964 77203\n39439 51233\n41734 62485\n29782 79618\n20374 38702\n14259 52511\n33637 74344\n46406 57196\n50655 78020\n19061 45758\n28862 73587\n42748 75366\n29209 45784\n51594 60832\n17511 59009\n22973 37444\n21719 69609\n25071 58709\n40237 44319\n43326 63324\n37243 50128\n1023 75443\n17579 77182\n10987 72181\n18518 31426\n17090 31014\n21509 46389\n6796 11024\n22962 75451\n55718 76319\n69228 76265\n18390 20031\n2088 84478\n4460 40500\n4634 17194\n18008 36531\n24804 78426\n10080 47852\n70615 73126\n18513 54750\n22067 77610\n30169 64612\n50650 80459\n52683 84345\n55927 58013\n20226 51481\n39244 65390\n19932 58234\n11596 83039\n16202 29496\n38085 76002\n17824 36479\n56320 59647\n46369 67913\n12798 31264\n71280 85302\n45916 60318\n39496 61641\n80457 80710\n42154 45621\n24241 40493\n70410 76557\n18314 75516\n1186 58615\n6213 80640\n15438 17087\n24158 44494\n41447 80477\n16517 46736\n5681 9049\n879 16637\n19147 71760\n63932 82961\n25930 33404\n7187 15056\n58334 70324\n37459 81502\n54097 57276\n51296 76019\n31396 80979\n44628 55206\n3047 29386\n28883 60798\n19376 76660\n81811 84474\n19967 75012\n40014 50501\n6655 65374\n24030 79601\n37379 83803\n53324 71340\n23764 51234\n47703 66689\n16384 80180\n40323 85435\n19875 79604\n562 17751\n30433 58965\n27903 64253\n35848 36730\n32646 42437\n1347 23806\n43915 62336\n15287 47162\n25407 27678\n49851 78526\n201 61246\n61852 63249\n8402 83140\n29556 85598\n40905 43902\n3048 23105\n38410 46667\n48546 65908\n56865 69877\n33805 38237\n12134 55042\n17319 50263\n21251 51960\n4690 81274\n20070 75306\n24389 78071\n18261 36091\n11149 53490\n10988 39298\n32952 69628\n76654 85289\n41801 63983\n42770 43452\n41458 74847\n80276 82253\n68540 82129\n70457 81125\n42592 78188\n53959 74398\n29437 67509\n15903 22903\n73653 83149\n15121 20100\n20678 73187\n65482 84502\n41978 58917\n6429 67589\n11866 72682\n21213 35962\n52602 82370\n16879 51836\n12794 82683\n34722 85635\n56007 82615\n10112 13335\n1730 16447\n41597 45039\n3909 31944\n15388 70206\n14063 62106\n5790 84423\n75877 84883\n20220 81968\n18582 55340\n18704 59524\n9309 40954\n22110 41423\n46816 53238\n38553 75191\n57903 65101\n36602 45005\n17815 32922\n8939 43740\n27064 81033\n51851 84808\n45974 67550\n11841 35366\n10861 30955\n26585 53570\n17756 24059\n37018 77194\n60126 82169\n29832 34486\n7276 15258\n2227 38436\n46541 52138\n2551 45447\n5759 9138\n23111 77936\n9404 52085\n29611 32117\n11935 68844\n39599 72905\n18861 72655\n14465 34546\n37053 73132\n32797 56253\n33232 73746\n11800 41884\n42958 70185\n17088 71475\n58140 62070\n35802 43362\n47764 48496\n69198 74908\n23818 85798\n42309 66871\n42079 47699\n28152 60450\n12474 38515\n42314 79163\n33231 63915\n5575 16278\n26573 35882\n2488 55046\n3865 75193\n18562 62148\n15166 50720\n59406 72945\n10175 72273\n20986 73961\n18021 80803\n23001 46207\n12370 32905\n50000 50958\n28 9010\n29548 57425\n58668 74826\n42693 81820\n51598 74024\n26270 37398\n13691 27751\n345 10719\n5546 36479\n28011 73279\n50988 53530\n19020 24573\n15413 54275\n33222 56370\n19531 26588\n56521 70794\n15220 53168\n45295 82385\n1609 9407\n24649 52656\n68936 78958\n5943 33344\n11317 67622\n12054 58552\n37789 68017\n1438 45829\n6256 62468\n33123 37266\n753 33028\n1718 11858\n27797 63694\n52529 57373\n8583 84414\n28997 29559\n4678 36689\n45766 85422\n21203 77855\n16907 27881\n4809 30280\n58098 67056\n5235 74440\n2474 71114\n56749 62647\n625 78856\n18697 50699\n42572 84908\n42567 72364\n35184 68232\n17132 18956\n13322 74377\n20898 60272\n1305 81652\n20821 58670\n29194 34725\n48778 71782\n65908 70893\n11511 58260\n3899 24533\n42261 65894\n31309 50464\n13556 65144\n25087 84075\n35053 66714\n6595 43582\n37502 49727\n7389 20732\n17180 52285\n59591 72104\n28855 70453\n25014 25437\n31576 56043\n36398 79422\n14664 52879\n56131 68940\n39761 47657\n18775 44889\n5882 70186\n11324 21068\n34647 49692\n508 4360\n27332 80824\n42359 57279\n4905 47898\n14466 45627\n7918 71666\n2443 31376\n23690 63054\n57704 79814\n2210 62476\n17363 71081\n41516 80127\n5401 37758\n29572 74929\n67461 75294\n44739 68267\n16750 26131\n6673 63333\n10298 57646\n30453 44018\n37045 40548\n6336 56714\n10348 14029\n41298 57648\n236 1500\n14142 65861\n43120 72376\n63830 78958\n21443 54141\n63922 76459\n27575 61844\n37028 41439\n53635 74575\n11766 20314\n31597 56101\n7298 33725\n60695 78535\n57091 68520\n16901 63522\n40279 43268\n27553 74881\n32909 35640\n19480 45831\n27160 40960\n33179 71599\n12410 38176\n17242 68523\n40652 48837\n17959 83587\n18899 35662\n49386 56071\n42784 63220\n37975 79293\n11378 44867\n31755 82945\n55943 82568\n30137 37389\n10588 77813\n47235 66755\n14985 76265\n28137 29177\n44710 74477\n8466 67688\n69077 77699\n53710 81586\n21265 84778\n71133 74329\n3691 9762\n14777 66424\n21988 60208\n48205 58381\n64087 73193\n43388 76368\n14211 43642\n44 597\n32274 71043\n50264 73911\n3148 74323\n12097 80565\n23562 73595\n14975 84027\n25130 65649\n28056 68735\n36515 76784\n8152 28177\n45441 62076\n49971 66783\n55480 79087\n41611 42863\n23211 78710\n32089 55777\n72089 83078\n3534 28669\n10761 19487\n36091 46932\n23675 71558\n36498 46948\n59479 73950\n22581 71295\n8698 36780\n16919 71831\n17369 56628\n58225 67108\n41385 79690\n25749 27743\n25238 64439\n70049 72778\n58876 74174\n12656 77063\n28335 53688\n1441 13916\n25303 27157\n10927 76329\n30857 51642\n10233 26760\n10611 12091\n42000 71314\n24812 43165\n23744 45109\n38334 45841\n57004 83659\n2204 23247\n36567 47234\n11655 31493\n21454 75651\n29626 60131\n44916 80546\n70269 73581\n37474 69637\n49718 76511\n20330 30186\n5172 41335\n20000 72580\n61317 85518\n791 84062\n42032 65053\n72053 83592\n6137 22785\n62518 75499\n13442 66895\n1612 83529\n17993 33125\n57698 68639\n22918 77482\n7369 68947\n13131 40053\n42262 56450\n24543 42875\n53205 82530\n45525 65064\n30932 78198\n16940 56597\n11011 31066\n28070 66774\n43499 82427\n32663 42121\n42253 44793\n1708 37977\n16244 59394\n22567 59561\n2052 68305\n27970 76607\n10199 52564\n19078 55527\n7387 38789\n3392 77993\n7075 29977\n6348 9139\n64152 66513\n18173 65885\n17003 34661\n17346 32899\n5445 27410\n7882 35657\n12402 24428\n53232 83226\n95 15675\n5237 46491\n49869 68809\n21553 81925\n21914 65112\n882 63523\n9352 54383\n20007 20207\n48617 59282\n28258 50618\n28273 83830\n44786 49288\n63039 71606\n24164 75446\n33313 82819\n30496 49099\n17129 56364\n3748 79747\n5877 85772\n25727 43579\n69558 75722\n55364 64859\n5186 58735\n41879 68208\n33516 52768\n11715 73438\n7196 68363\n16537 20976\n2622 51694\n1458 49807\n12701 13459\n10161 83683\n12909 39465\n50288 58785\n63957 72250\n63663 76774\n29250 76104\n9694 83017\n8703 59723\n43343 57396\n16981 40896\n40584 45632\n29936 51521\n31384 38676\n2256 29815\n36259 77721\n11918 17175\n36736 63998\n16504 66168\n20751 76283\n24351 59964\n24070 58649\n68600 70468\n63037 63424\n16064 72670\n31318 36008\n4899 69872\n67087 83982\n38353 64343\n52915 65672\n29512 49605\n20279 74199\n25748 50564\n24166 34785\n48134 79468\n9754 80125\n63345 69668\n12019 78599\n3056 71100\n8399 30912\n57642 59399\n20340 60791\n833 44745\n1379 16597\n9151 70903\n23222 38447\n45887 76745\n439 24920\n17733 84183\n27599 46587\n31846 36485\n46951 80418\n11445 13776\n296 83074\n43329 56412\n11946 71103\n36221 43015\n3978 65557\n615 45441\n16759 60365\n3877 18529\n60982 66110\n22404 80667\n10046 60493\n22926 49579\n62967 77941\n30122 38954\n71568 77407\n30221 49565\n69034 75381\n15161 55093\n42743 66561\n32365 38448\n25936 63757\n44698 50125\n1563 30839\n16553 16694\n52209 74259\n18057 37119\n23127 23380\n27611 82549\n35671 81312\n13470 58693\n46578 64253\n414 10469\n36463 39436\n43400 57718\n34876 36487\n34960 44129\n31924 36695\n43930 50181\n25502 49073\n15696 47243\n2282 50065\n32137 78345\n60144 77736\n22680 35631\n28624 28926\n44574 71282\n23345 24499\n14656 80924\n1311 72472\n15478 50903\n26877 61151\n44479 56966\n44896 73509\n31814 52367\n918 30766\n17313 30470\n39446 56238\n17357 65680\n76844 79851\n20894 78234\n48899 78283\n21885 76323\n54544 76220\n2452 83596\n16683 17861\n15837 61660\n10935 64080\n25544 83252\n3265 70027\n16772 70422\n25735 81438\n32940 43637\n52235 82156\n3725 28721\n76092 81130\n5092 69898\n49433 65435\n4803 29161\n21185 71735\n1701 52488\n23473 85096\n30855 73914\n9716 27800\n42400 59820\n35673 65158\n34160 46574\n24215 60030\n42191 84966\n12376 33826\n21363 51312\n9361 10365\n15201 60217\n3064 42605\n2589 29680\n34273 75148\n5733 64756\n43452 77498\n3565 72426\n67223 68112\n44765 47494\n48286 69941\n66023 79776\n59498 69829\n3230 43197\n3834 19725\n15311 24772\n28026 67295\n21014 75799\n7339 54635\n24015 67988\n6494 66863\n6408 78287\n7389 10859\n866 60502\n8820 80544\n323 81357\n14470 70821\n48346 64214\n16136 46320\n33704 66721\n50300 53542\n7355 9760\n28662 56372\n62220 74365\n13378 50114\n909 19967\n31320 37511\n70997 72331\n48837 56709\n5222 66639\n58653 59825\n9288 45197\n19487 75063\n4372 11722\n1370 14244\n46808 47750\n6165 7827\n31914 38097\n42987 49207\n13323 25762\n76661 83969\n50812 69513\n39708 45871\n71354 81788\n3387 4405\n42083 44594\n47515 51929\n25765 27072\n32155 50180\n37725 48562\n730 70248\n49001 75485\n40626 65329\n48703 76888\n21304 40897\n2631 76405\n15018 25004\n8334 49930\n4609 45915\n50235 64837\n39136 73853\n31164 76425\n10456 58194\n9489 54017\n54232 65895\n71442 83160\n49633 63870\n6261 20299\n25198 44735\n7094 58969\n59925 70961\n27889 33585\n11540 23281\n9035 57617\n53354 54968\n58580 72197\n49455 73134\n45004 69920\n12591 50298\n48727 49448\n5967 13784\n7279 78971\n15189 35449\n15683 53875\n10109 42837\n33782 68980\n6449 72780\n48566 49449\n29730 45304\n44747 53282\n43515 68836\n5311 54926\n20337 30857\n46809 77899\n10104 49113\n42969 67244\n2964 54085\n21249 25105\n57228 75836\n60601 76070\n75054 78690\n23283 72063\n34058 74770\n64340 77186\n55109 79480\n17373 34022\n26232 28431\n37913 51371\n18540 67459\n79976 85709\n40144 63178\n22079 22268\n8933 65249\n19092 67900\n64822 73608\n35436 53626\n45870 77617\n29118 60030\n53319 84912\n27871 47428\n6384 45164\n3568 74375\n37336 38774\n2013 79023\n3091 34031\n36022 45739\n24692 25563\n62309 67458\n77267 83879\n1842 8350\n20008 41513\n67487 77096\n32060 82688\n31168 64206\n3696 42931\n40144 79577\n41753 53711\n9915 79222\n2817 59201\n8239 24751\n20010 41273\n58339 72067\n52001 61032\n57714 74436\n78668 81257\n44789 53611\n49597 73377\n1456 55069\n7597 62144\n52000 68290\n42651 43280\n64386 66718\n63608 69761\n35493 63697\n2730 37928\n44327 75303\n9575 46906\n36837 72149\n15230 43339\n66599 73372\n29750 47745\n7611 81635\n36264 75402\n43478 80920\n26120 66635\n53960 56934\n10661 81430\n1014 2276\n14799 30330\n12216 43338\n1716 33247\n7206 13522\n22679 24884\n40838 81417\n55929 68499\n77484 84896\n7357 31263\n44143 60132\n50407 64732\n24644 71560\n22099 70006\n9134 52490\n28143 44867\n1916 75790\n18094 58983\n28631 57597\n37625 72326\n58703 80266\n27693 68855\n69108 70234\n62913 85468\n78591 81062\n11737 73521\n18948 52481\n51935 58215\n49084 51050\n32399 53325\n16640 30476\n34133 72469\n22098 31293\n58424 58698\n13729 75757\n58812 71674\n8579 29303\n57846 76864\n19499 28149\n60142 75340\n40294 60400\n76111 78260\n35547 47153\n21801 76606\n29228 71961\n42023 75231\n15247 19508\n51000 56272\n31823 40759\n29608 68866\n31657 67660\n28840 50195\n1311 81656\n21272 52317\n35725 84507\n12466 58060\n14309 56972\n43873 67551\n10845 44921\n28466 68912\n27852 73236\n33013 59225\n13639 71143\n20818 29671\n25961 77303\n19519 59750\n14910 18164\n71819 75227\n36195 48542\n602 11500\n42002 68765\n50050 64130\n29935 75143\n36207 61301\n64151 79987\n12866 44627\n23167 51113\n40437 85370\n55931 65234\n24075 50290\n37717 45831\n27557 43249\n21576 29447\n8219 19196\n41104 76671\n12046 78202\n74644 85388\n3794 18559\n1027 58566\n25480 84370\n46678 70267\n15984 54065\n37102 64835\n68468 73804\n22319 23871\n23910 30079\n14983 56150\n5552 22979\n28048 52875\n66140 70658\n14232 31176\n5599 63853\n10339 81990\n995 60292\n17471 39896\n27133 75025\n5261 38380\n50367 51155\n12927 76023\n2616 78732\n1807 67515\n25153 64352\n53036 68319\n1562 44734\n67283 73587\n39057 56118\n71726 76840\n64024 72602\n43109 48117\n10282 47656\n2365 30667\n50864 79899\n21877 78329\n46008 64703\n733 51182\n3081 27349\n8421 61291\n36431 46793\n66796 70560\n10278 79675\n48043 75279\n19012 53584\n10756 51475\n9385 71212\n43767 75642\n13512 76054\n6558 49395\n47541 70171\n12977 74290\n2485 63443\n31620 49531\n29832 50884\n4712 47278\n57165 85770\n75980 83425\n2170 46404\n3501 14610\n25516 25852\n4107 7071\n20822 72218\n28102 43940\n46302 61432\n2757 13245\n20854 69976\n38950 84938\n11655 13343\n51147 74273\n16750 73525\n9081 41700\n336 47023\n21689 62822\n11745 58756\n33260 56147\n26398 84062\n60567 70509\n58518 72909\n751 52281\n15839 15976\n16336 26742\n4229 25036\n45244 72177\n442 62378\n13352 43991\n54506 75002\n39883 79308\n35361 83892\n43997 46714\n3445 37157\n12439 47537\n43499 80385\n48291 76797\n6287 75553\n2819 80709\n65010 79942\n17126 72306\n8590 32636\n45409 59527\n18370 60177\n36473 79696\n54777 69664\n61556 78622\n7910 81172\n56545 57092\n51551 84178\n68740 85640\n41496 58852\n22268 65596\n38978 65167\n6503 78564\n36759 66972\n14121 43529\n59997 75671\n3650 84019\n52180 72744\n16054 79492\n29662 64747\n2532 52803\n15995 40404\n8125 33532\n43096 68813\n9569 40787\n50016 72141\n9033 40727\n4395 55512\n47913 51515\n49875 50356\n47518 78773\n6145 20424\n13915 23771\n57606 71277\n39906 65459\n40986 56183\n52942 55293\n43556 67777\n910 12406\n41380 77453\n23161 47263\n66681 81001\n23296 80861\n44478 78226\n41086 74397\n49669 56706\n24978 77121\n7518 30517\n8715 85530\n39957 50480\n21907 25342\n13797 37887\n47022 61801\n28048 75246\n29350 46773\n750 15567\n21131 75611\n47079 53518\n18417 77724\n27343 43850\n57636 67799\n13946 70939\n19151 70855\n74674 79120\n28794 66320\n5631 43206\n38871 73957\n2815 35570\n6964 83401\n26166 81063\n16404 22624\n69276 76119\n33996 81067\n27723 38757\n45195 80970\n17717 20330\n3990 85188\n2868 46095\n4117 44738\n3792 38345\n11473 39594\n2128 8420\n18277 70963\n19884 48400\n5148 62435\n23029 79779\n63224 66469\n37147 73334\n2571 65157\n54656 65329\n17962 45580\n62243 80029\n36985 62891\n8497 75888\n11894 49973\n4474 46591\n37598 73987\n58610 69469\n24241 45323\n16093 37337\n22047 47941\n12727 83910\n11907 30057\n18205 71438\n26354 82060\n33510 77149\n21767 38575\n54903 78236\n21463 79084\n11550 31420\n3177 29393\n22357 75202\n438 50961\n38024 62127\n9568 66376\n38253 67984\n53299 78027\n14322 69309\n2368 4555\n66387 79299\n31499 68812\n10461 45582\n42647 59410\n65480 67143\n58908 73206\n11759 48223\n13469 85272\n30757 64704\n45758 66292\n43867 58340\n50161 79848\n35022 43240\n25814 85171\n4215 59572\n27023 78166\n2753 44625\n16522 64071\n77418 84944\n25778 80270\n2528 59189\n61973 83215\n40017 42326\n58798 78661\n10001 35563\n44769 80441\n6709 57866\n59240 77033\n40632 47037\n70272 74910\n57954 80090\n16758 32438\n8806 67950\n6891 77315\n46890 70795\n29015 66998\n37634 40123\n43538 77597\n21017 75858\n33541 46248\n5209 30672\n56123 70061\n5734 13305\n4909 10094\n24227 29985\n19524 28956\n24221 28462\n26664 51631\n56002 70866\n35882 64675\n29376 44065\n53754 75639\n8059 55665\n49044 61289\n4422 59244\n19434 34593\n31811 62341\n64491 75219\n50801 65320\n56008 70759\n17866 55329\n15334 43866\n8319 57085\n44036 53102\n27488 40007\n7556 16401\n2668 80331\n50621 79426\n68891 78468\n56670 73285\n12647 15343\n14485 42417\n10783 56466\n42708 74241\n11686 59521\n64038 67238\n72318 83868\n17398 69979\n40625 47867\n2977 80097\n53678 58194\n35580 72321\n29168 59558\n31595 60832\n15391 32102\n8637 11392\n69438 79395\n41972 60035\n17533 82423\n63327 82222\n45477 82451\n19466 19868\n20367 71200\n28707 29675\n62964 76556\n10104 37935\n31743 56443\n14364 25652\n73326 79548\n27970 85994\n83067 84269\n75108 85709\n49303 72321\n43640 53256\n52502 78025\n33828 56182\n10692 65996\n27906 58156\n15075 50043\n45056 70111\n35108 70533\n10218 29954\n63128 72387\n13765 30905\n7343 72843\n3781 18546\n38576 81436\n24720 49910\n12202 29101\n54606 71683\n8201 24169\n31237 63311\n23302 81171\n54190 61818\n26669 70697\n49691 51013\n39582 79341\n9824 25116\n11104 44859\n4456 55780\n8329 24566\n65454 82874\n64142 76210\n36829 49902\n10668 55302\n16321 44271\n7943 27790\n34022 39117\n32571 81816\n16644 82086\n16592 50262\n71810 82323\n23146 58663\n25767 51095\n32808 76395\n25504 76206\n27737 76686\n5612 32972\n16852 21992\n36349 43846\n928 63537\n7443 57393\n8107 14767\n12102 71741\n11219 34277\n19538 73504\n40487 40501\n11732 63893\n45228 57131\n31969 35515\n5391 73487\n35959 50614\n12994 73592\n64274 68699\n8608 24505\n16015 74282\n23068 64395\n42504 71501\n18421 50955\n5590 79488\n39987 45169\n6214 79508\n28448 49497\n47039 51050\n7915 67700\n28884 50234\n7056 25888\n5864 27018\n9117 38858\n30727 33286\n36854 43139\n17974 24514\n50872 75746\n40151 66543\n71643 84585\n29217 42152\n9861 30049\n23122 78055\n34884 56047\n27806 76262\n7689 13790\n39766 62959\n67283 69735\n14906 82718\n11533 49050\n39610 64118\n15039 52982\n16797 83864\n35153 53451\n8774 34661\n35813 67761\n26798 76143\n20614 30178\n22078 43759\n2648 67330\n2371 40528\n33953 84663\n58341 82469\n11711 27397\n8399 77255\n15343 71898\n9284 48139\n15926 22474\n9669 78514\n10514 14415\n47880 67304\n51753 83769\n49897 75392\n47607 50319\n291 57905\n11937 23350\n62356 68457\n49240 57397\n14766 35805\n38437 48120\n3778 45185\n7295 52611\n3382 49970\n13052 50337\n34942 59542\n42836 85827\n15130 36907\n1828 63680\n15404 62496\n56789 66117\n28156 37605\n47502 77591\n34842 51174\n31103 49535\n71593 82537\n20088 22375\n24531 24534\n28631 79486\n76534 84024\n18749 85528\n41516 60661\n8963 81279\n55945 68082\n22844 76209\n60479 71708\n49527 55362\n61823 64612\n12202 38136\n10648 46288\n33548 52491\n30684 71583\n57000 78248\n7395 15674\n56039 56817\n15753 63270\n57541 57654\n31523 39315\n1082 72520\n58366 70569\n19298 43253\n27074 42068\n57257 65787\n48400 53083\n20872 24954\n61740 65689\n54328 56443\n29225 47643\n3759 26322\n22274 37810\n34454 63184\n2259 72209\n35776 69066\n72949 83010\n45939 82684\n1241 24626\n47116 73650\n17423 25520\n18950 62805\n10079 77386\n20866 51609\n6050 79980\n48997 83071\n16445 26280\n50909 67690\n17862 42628\n15098 82887\n23858 55548\n32905 80156\n366 78781\n35998 73924\n13926 80792\n12018 84891\n33861 53147\n21180 73708\n48254 72007\n26287 41754\n3713 48502\n33293 72261\n50729 82242\n5116 8155\n50690 75583\n55672 63902\n68420 72273\n7224 31477\n17178 37202\n53128 59640\n39779 74598\n15472 63140\n7846 59732\n24851 64315\n24998 84369\n6839 74868\n1830 44608\n302 53642\n62935 73237\n59963 82798\n23598 73216\n27248 82598\n4076 85085\n16908 17773\n25746 64424\n15456 24528\n59254 79270\n60050 71841\n7230 50973\n39612 71696\n39972 48912\n33436 80456\n10891 24685\n14185 46477\n33771 51903\n25009 53337\n2032 29813\n25276 58171\n18221 24051\n44146 78248\n37884 65852\n35595 71197\n31494 58341\n31165 76868\n34040 57806\n1459 69329\n21226 61926\n21577 35392\n12805 16877\n15236 61630\n52318 59961\n28141 33666\n9704 30801\n26557 35843\n38605 84416\n31490 58108\n26013 82467\n17908 30431\n72774 84127\n56426 66685\n14028 75723\n38793 41185\n13610 28885\n2656 69481\n72284 82043\n38387 74910\n15516 44227\n16025 63143\n29726 33017\n28877 68452\n15178 21249\n63778 85471\n33366 46608\n25460 52620\n49817 62258\n2359 44447\n8787 18315\n18477 19985\n13163 33688\n26028 66904\n47369 58265\n16013 26307\n15856 76267\n8323 24464\n44166 59103\n18009 54688\n7255 67366\n20423 41429\n66758 73298\n48689 73919\n15958 34359\n6327 42860\n17826 31315\n2443 82318\n13566 15476\n16047 33532\n12189 56710\n34864 72474\n49426 77804\n22371 83254\n32074 34967\n6713 27892\n13760 84637\n48512 74549\n403 65962\n7215 30223\n4501 82407\n33162 69249\n50880 76244\n28296 63106\n3436 85985\n35432 59480\n8332 16896\n49731 59558\n13904 25018\n27141 36371\n35551 67513\n165 65088\n6275 7177\n2081 71746\n41918 85420\n12441 84249\n12459 47174\n31031 73837\n78041 84781\n46956 47261\n8146 33405\n12911 32956\n27042 44846\n4649 35450\n73111 85353\n32122 71192\n15859 60797\n44086 56948\n59796 79111\n17354 46265\n8395 23722\n41586 50384\n86 19997\n32292 44389\n36330 57317\n31331 83487\n19402 66303\n27420 67293\n3266 18118\n4071 30933\n28501 73638\n43918 81090\n16313 36853\n32803 81138\n7108 39653\n63100 67325\n29663 37459\n10099 19835\n1845 50120\n46527 62791\n24011 54052\n36094 56629\n50398 65282\n315 61011\n24379 75215\n30746 46385\n21521 25542\n10215 50982\n4715 79540\n48877 59997\n34844 42569\n14445 60672\n13708 38649\n23193 61141\n22932 39177\n16653 29850\n26660 28227\n4385 81610\n36602 62415\n10227 17288\n1896 38573\n12547 84674\n4801 18154\n35117 71854\n2293 45113\n65066 75353\n4786 16984\n20708 82893\n30012 83889\n62703 63535\n6091 34387\n36544 49134\n37418 76168\n7480 19233\n4024 62091\n11032 83846\n65023 85835\n35119 75235\n46443 74800\n1077 9701\n62806 69277\n44526 83229\n20724 32886\n10618 61600\n11011 30178\n18754 34087\n13915 32122\n53774 75078\n17993 57071\n33884 50194\n9114 85266\n17816 23836\n1658 1831\n2726 40960\n40227 57715\n26354 83223\n1841 61563\n35103 60878\n11006 54440\n43246 55019\n53034 74909\n31928 80714\n3486 58023\n64713 72094\n37192 51059\n14822 37732\n37061 71226\n18420 38565\n6494 39078\n20042 69225\n1566 80006\n44120 46025\n40156 67921\n55720 57260\n48177 65941\n73375 84161\n25375 47348\n31594 74841\n40638 64856\n21919 25259\n21763 44804\n478 49417\n38124 44101\n16383 33159\n39029 67121\n20329 45542\n3430 49362\n27272 32250\n10137 36323\n36078 74974\n40101 60601\n19120 31188\n44067 54886\n68962 80399\n30782 61213\n23398 83536\n42409 52157\n49635 63427\n69596 85025\n32672 78153\n48685 79820\n37587 67471\n14653 78895\n28536 71301\n40101 54120\n36161 80677\n10609 63576\n26559 32572\n8487 43479\n38660 56349\n33293 61180\n60728 70148\n31433 74960\n20603 84696\n40064 42259\n51323 59711\n13251 31302\n47710 66912\n21080 83747\n26125 37249\n35491 82189\n32824 58597\n4891 55147\n24162 48393\n11088 19578\n1560 4205\n5379 7503\n50963 57899\n36761 43645\n15531 44938\n11763 44651\n20527 61618\n71465 77389\n42228 67440\n45583 52073\n34661 69785\n35012 74125\n8860 77616\n53647 70273\n18494 64236\n74668 83010\n27779 82744\n294 57993\n6742 49874\n43905 74953\n19292 80825\n56351 68903\n72113 81898\n1316 24944\n16124 16579\n21029 66784\n15578 84182\n51246 82049\n43370 81142\n11253 13924\n2149 27253\n49895 84920\n20201 37534\n23789 59220\n26414 37177\n7186 53012\n18382 39849\n20104 40240\n2364 82226\n30295 37211\n21842 76236\n23552 84881\n50823 72884\n52622 82238\n26623 41006\n17809 55741\n42983 70167\n15855 17971\n17725 44741\n22542 31141\n55239 74042\n20724 21833\n18565 27824\n3811 25729\n46320 82648\n39551 47116\n45223 50736\n1534 50644\n24232 31989\n37041 60095\n18155 31959\n20120 49095\n36571 72217\n7344 53287\n22592 26797\n37195 60334\n59597 75426\n19941 85135\n54463 54843\n39737 75569\n80901 82838\n47805 66932\n42340 55806\n19187 27623\n37698 69368\n12867 52162\n12774 15302\n19307 60778\n17261 46233\n37300 53879\n58216 74281\n35515 78966\n3482 81807\n5795 67603\n62119 67892\n19050 48419\n24789 33605\n41941 74050\n40574 61917\n31559 67470\n60208 77959\n28033 41297\n64465 80618\n70461 73007\n31106 68411\n47126 54501\n45838 85704\n41133 67865\n8618 73383\n29986 49905\n38968 51971\n74563 81976\n73034 82898\n22315 31392\n27250 53457\n1421 73890\n45370 54555\n31172 33424\n3690 76917\n11541 31279\n34533 56275\n30591 67930\n51846 78573\n61697 80393\n59673 75807\n7677 85412\n24844 39536\n16422 53948\n1041 55780\n19149 71887\n26232 27441\n70156 73235\n25086 59907\n1880 48957\n11639 31183\n65335 67779\n21249 66442\n26300 77843\n26610 72957\n22649 51058\n30488 57743\n21692 24236\n31032 84534\n2731 53715\n76995 77749\n30691 36477\n17054 38246\n2530 16589\n65890 79016\n17304 70614\n12588 51671\n16626 24707\n45202 60445\n4972 25228\n38101 42897\n62639 62743\n58694 60231\n4508 70854\n34538 37851\n4417 7750\n32864 69163\n19313 33461\n4769 64572\n48179 50713\n57055 64836\n41774 64493\n7474 71995\n37012 44996\n58313 74010\n2486 9781\n10394 62949\n4345 23391\n46961 68015\n41519 55806\n12846 65074\n74059 83265\n21642 31715\n54026 70775\n56507 73599\n10659 68903\n4292 75285\n3642 33595\n11981 58145\n21972 32653\n27788 85906\n15025 80915\n4375 54044\n59252 61981\n65069 65791\n10421 14297\n55825 75090\n1182 23469\n57335 75016\n21439 43165\n43871 56048\n10200 25558\n8774 11316\n28737 42517\n25767 63690\n71500 83442\n20601 77515\n31024 63424\n11974 13108\n14668 80473\n32978 80807\n17923 85440\n37693 58019\n44146 62282\n32010 65236\n42519 62508\n15103 25106\n4108 35006\n21198 79580\n33350 83109\n15923 70059\n17199 79553\n58940 73625\n4784 49680\n13364 49269\n42785 65068\n3072 56174\n36364 61423\n16962 33014\n20906 45308\n5475 29779\n47393 68075\n8488 63883\n7445 49958\n30633 53462\n36492 53083\n66851 76572\n7520 31537\n267 67301\n81805 82492\n19833 26269\n31350 66000\n43033 65830\n40394 52250\n20757 28655\n4398 23524\n53087 56657\n38604 56554\n36302 80841\n29043 44185\n11158 37066\n27142 55227\n46865 85382\n34293 85978\n10060 75653\n69302 72026\n12082 48250\n46950 60408\n28639 45169\n37776 48958\n14359 22656\n26511 39395\n66680 79497\n5403 6803\n8965 56195\n32105 56569\n4632 22925\n7296 15042\n44068 47800\n4538 67598\n63293 79404\n29940 56362\n23194 70029\n14887 37966\n452 5772\n10745 49777\n37719 58180\n42500 49604\n25520 69677\n21821 73477\n35227 57613\n15859 65314\n57413 72630\n49592 84632\n38997 68300\n20260 78623\n11389 67283\n25599 67752\n48345 58665\n45042 70764\n8697 50575\n12863 51281\n1871 79717\n33903 57210\n23938 53647\n32536 33286\n24869 65967\n33846 53634\n53919 58481\n14037 84485\n46925 72171\n4207 15133\n31512 39963\n25687 69370\n60354 62212\n45303 83182\n15468 53008\n66249 76901\n29736 61634\n42925 45257\n10899 53070\n19425 28908\n44456 60309\n5534 55927\n35409 39448\n2828 5209\n5930 34387\n46961 49936\n26785 60860\n29828 75210\n30741 62210\n40808 69469\n22885 77042\n11097 78766\n32161 76641\n64624 83353\n63631 70682\n5530 58830\n62243 71567\n13745 29220\n48455 60183\n24189 37154\n5332 70054\n29226 85492\n487 21048\n8774 25981\n32975 62030\n893 59603\n9591 82775\n23370 62895\n20001 66084\n17163 68000\n35182 52040\n28802 40009\n18625 19390\n63738 80125\n36887 84467\n15566 83376\n19702 24433\n39566 81839\n42097 55074\n22698 59367\n50138 75063\n7058 75382\n16290 65306\n13720 57909\n4369 50484\n6178 10194\n28418 71802\n27257 54822\n66902 68716\n25318 65369\n52875 65095\n26339 52844\n54617 70871\n62226 66061\n29737 40779\n23587 79143\n25223 28917\n94 79407\n55525 85560\n44132 80585\n46956 59549\n47781 72880\n33626 66654\n57611 65412\n7490 60248\n9065 32298\n25229 66480\n2777 67038\n28785 55583\n64942 67522\n30340 51321\n20379 28958\n21542 63638\n6585 14904\n44231 71497\n12868 53689\n34380 48172\n26495 68717\n24346 50550\n59862 70743\n63826 69633\n4336 63057\n37681 42184\n63694 69453\n33905 55150\n39947 76636\n25309 52511\n59705 61813\n48402 82659\n6137 46347\n53024 68835\n14995 20659\n42675 85782\n1159 31330\n49437 58864\n2711 43726\n5946 47459\n14559 76360\n27979 28540\n41346 52480\n60913 69798\n17603 62841\n9905 72847\n65003 78228\n45463 62095\n10116 14894\n16986 34824\n15220 15689\n38029 73827\n14849 21292\n33097 59593\n44945 58103\n36342 51327\n6632 57111\n39767 56371\n53264 80269\n66779 67395\n53894 72467\n38375 79479\n69593 81156\n78382 81504\n13057 62677\n15563 25454\n72385 73001\n27225 33306\n20987 21434\n1211 4637\n1779 72745\n7350 23473\n34163 72974\n45668 73210\n55361 63453\n70102 82303\n13154 72451\n49787 53483\n37651 42581\n28259 54585\n28 60812\n45116 74136\n15232 72388\n10497 26557\n47797 57972\n8634 28804\n18854 49064\n1550 49452\n12878 66147\n11820 72598\n27423 84965\n37763 62379\n35483 71340\n26382 51519\n6424 78752\n30601 77070\n8991 40358\n5834 48837\n22797 63792\n11681 21074\n26511 81059\n13669 13792\n12298 26271\n55902 82967\n32293 32502\n17371 37212\n39730 63381\n1451 26349\n5867 69993\n29610 57742\n28707 71682\n63181 73779\n17608 29329\n23485 71897\n46753 56801\n20917 72418\n55952 58644\n20797 54927\n38824 41180\n52018 57853\n5102 17506\n9083 41200\n652 11853\n16840 25799\n59939 83675\n10939 74938\n40719 45582\n4369 66487\n21550 55224\n7868 81776\n31480 44415\n25026 59266\n3944 49056\n58729 78724\n10923 29936\n9497 17124\n52233 65010\n43582 46879\n34590 58704\n9186 82998\n13011 35030\n36238 61467\n15808 61134\n1376 27026\n38962 60504\n4181 9223\n54167 71042\n45678 50769\n14106 37419\n5424 42555\n52131 65519\n36546 41218\n50918 69768\n7004 67844\n2811 13077\n20819 67087\n8205 32941\n791 46078\n48740 79420\n20384 76726\n28686 77333\n32159 56532\n5635 56049\n2414 26678\n27121 39065\n32787 46022\n7934 37093\n55883 71275\n18606 78564\n10215 82960\n75343 80239\n21695 80687\n1720 65954\n10196 82648\n41660 54740\n15316 34745\n50254 73194\n35314 49458\n55239 61629\n1338 28192\n76772 77890\n26624 31368\n57434 60153\n23738 67058\n57886 71213\n28776 63281\n27473 76719\n5681 68994\n31647 83961\n7483 36942\n54503 67965\n58409 66748\n42502 85011\n3219 55102\n57596 75102\n35395 79005\n3774 40810\n2751 4221\n26172 41824\n18070 75666\n38874 55783\n6594 64967\n34785 70452\n38339 51585\n19937 34058\n19472 72189\n66775 77149\n49576 70683\n1424 5625\n28843 35716\n12887 55466\n62674 66289\n22087 70395\n17409 21657\n59497 70273\n3171 85424\n24381 63207\n27922 36617\n5576 81564\n39366 79323\n53497 59014\n2684 8437\n7624 29344\n12498 30929\n72609 73688\n9016 26604\n14812 39701\n21881 41751\n5381 64618\n61197 71733\n28225 69125\n57212 62319\n41745 59617\n32885 51337\n47689 82544\n20156 66332\n13519 57023\n82843 84334\n43855 52508\n17824 85717\n20353 60061\n74639 84128\n2121 13776\n14742 48859\n71648 85476\n5602 80709\n23252 32656\n15550 24877\n58734 68862\n13210 49887\n11844 63024\n9625 68538\n8876 22820\n26689 69465\n10078 40434\n27103 35593\n52302 55701\n8011 59982\n53861 56604\n13841 77161\n19127 20770\n10691 76142\n58862 85847\n15690 67087\n25786 51784\n23349 55041\n77187 78125\n39251 82443\n1793 59655\n68429 76879\n61538 84055\n6884 22955\n10483 10670\n1678 42828\n25575 84643\n13841 84951\n22680 45087\n44839 76979\n52381 80253\n47622 81002\n7062 84015\n2352 53421\n6356 55931\n11836 58625\n7013 21822\n28809 46208\n45572 59036\n31880 39755\n40304 63086\n13178 51766\n54912 69087\n1078 56349\n30442 76437\n53327 72748\n3806 19376\n27979 31333\n45420 78938\n54098 80306\n4987 62916\n25221 67864\n6834 61481\n31768 33524\n6271 72397\n51869 79945\n10423 67496\n29638 56708\n35398 81417\n10661 47051\n2655 26667\n26335 31103\n20187 77744\n5237 39207\n15564 66049\n18164 39629\n46349 55388\n47882 65743\n28696 29806\n31069 61600\n52399 60129\n47490 53791\n26955 27745\n16993 21642\n37012 41559\n23481 79639\n1950 36051\n50350 81157\n20762 70463\n52987 59463\n730 60043\n80474 83357\n3750 50148\n24783 37363\n14189 45881\n33311 69013\n2087 63686\n35388 55529\n29141 82632\n13090 42195\n60908 61826\n45964 55069\n50770 77347\n38451 72493\n12681 13419\n27415 37534\n34952 54066\n15883 81323\n10369 74804\n12469 60364\n34733 70238\n55363 78789\n18663 72557\n32172 51561\n47598 67852\n1127 55984\n4323 64147\n46717 63262\n24591 76948\n6119 51119\n9962 17845\n66726 77206\n47557 85278\n9875 64596\n26688 52432\n20784 73416\n10145 37040\n15920 55686\n9266 60975\n9180 78617\n20455 61663\n17774 18994\n31986 43901\n533 13467\n5679 38205\n41932 75753\n19511 62407\n62459 70761\n44392 64414\n68303 68657\n40541 83738\n31894 33160\n65199 78682\n43474 77783\n35255 79952\n26198 28042\n38 25901\n12523 66326\n10614 46545\n10454 17188\n2807 22951\n63786 81120\n33664 36775\n79367 84588\n3271 81954\n41005 69092\n43480 78610\n2582 14046\n17366 47277\n78098 78642\n28286 64261\n33931 39207\n33181 42091\n1687 76270\n21255 68445\n61322 85568\n1473 34135\n55341 76754\n2109 15708\n22709 78015\n5009 70993\n32008 74544\n25110 56369\n29081 33301\n1345 59205\n46626 52283\n4910 81032\n14494 52369\n14855 75022\n56795 69453\n36163 69622\n22392 45960\n15002 70971\n34097 59405\n25608 44708\n7287 69885\n4084 23597\n4603 22950\n14928 28522\n36733 58327\n4268 61797\n8894 70065\n55301 81203\n7467 34596\n12734 51311\n56818 85306\n29622 38138\n39192 64934\n27210 46048\n10546 66966\n5028 41967\n61127 70892\n49389 81721\n6105 31829\n23090 83176\n1256 41269\n53281 61099\n29517 54765\n60208 60652\n347 18637\n17599 46752\n55102 84064\n24122 58427\n43838 64032\n51576 72995\n61156 65588\n3870 54760\n16165 64391\n34294 59615\n38466 78694\n24544 49755\n8484 52962\n23014 79532\n30802 38789\n45086 75417\n24458 60966\n22459 84554\n6461 31891\n21924 65455\n68682 70266\n59502 84154\n70912 82707\n44849 49813\n76271 78718\n50861 77011\n26184 44924\n24440 30227\n43858 50053\n2141 57983\n42424 77773\n21561 37620\n28960 30651\n9620 68894\n22982 55511\n42074 53702\n49612 54599\n56930 73298\n7176 12050\n46512 47086\n33945 68997\n36932 42179\n61724 64425\n6870 61980\n30716 42502\n21444 35701\n53704 71428\n481 5126\n34663 43676\n38932 61987\n45487 72366\n30933 48114\n27627 68565\n62549 68359\n33640 38732\n67283 74008\n55559 78019\n9534 75659\n21281 64386\n13133 31979\n35060 46293\n62445 63427\n7111 66537\n46844 67463\n57561 63788\n16760 85903\n12581 31136\n67368 67824\n49544 49782\n2313 48343\n9069 24838\n54187 79334\n42599 84290\n44380 53260\n11220 52104\n45684 57891\n55297 66897\n5229 19181\n18069 36335\n56792 83869\n6685 28154\n47221 71045\n14634 62333\n57676 79082\n34619 68521\n3416 28399\n12526 15831\n19461 30576\n9177 57552\n47293 64906\n58347 69507\n12531 48993\n43118 77283\n23191 64939\n46160 63534\n37644 69893\n50352 68994\n12393 74853\n50619 62197\n8528 75249\n9659 74901\n37727 56365\n1754 19877\n32749 58800\n25047 29879\n20233 47582\n56992 84033\n36053 75000\n14759 54570\n40548 72632\n10844 56178\n28849 55220\n17168 63054\n47371 81902\n47738 50704\n22960 85834\n13227 69964\n35070 40763\n13948 69128\n30121 73368\n12417 23033\n37684 64720\n27799 57136\n15322 80797\n3189 18312\n35349 61522\n2320 76858\n1894 14736\n34909 47304\n6774 85476\n22525 77515\n35798 39439\n22634 57950\n33343 64662\n43900 47141\n5824 43153\n2336 18760\n16815 50345\n20534 81036\n15107 47187\n9497 26791\n36331 60394\n3417 9329\n2108 50940\n10438 24364\n12299 19998\n27437 42754\n40375 62963\n53596 77159\n19683 74835\n29129 69867\n36789 66476\n30939 40783\n3112 46755\n21413 36124\n27992 50728\n21012 42261\n45412 76664\n14726 81198\n6531 48080\n18048 80405\n11231 63387\n6151 9811\n19873 57745\n41970 84760\n810 14178\n43840 51189\n6467 26315\n51676 81791\n11491 38059\n32396 85588\n33424 85876\n29446 67202\n6790 75401\n31638 54441\n23674 45050\n58538 61747\n14642 75464\n11784 58061\n41924 76467\n3795 7443\n58216 85249\n38392 60924\n14658 35876\n49403 66453\n21919 76003\n4902 38995\n10751 46295\n39480 74775\n43057 68687\n50311 77463\n13536 28640\n11405 37326\n27474 54030\n8227 53641\n4658 46632\n13197 70001\n48025 76588\n11643 41741\n52025 76995\n21303 70955\n9825 46937\n61509 72319\n25058 31214\n2286 28328\n10894 11935\n24568 73433\n11106 81671\n78090 79208\n41267 80375\n26227 33902\n18653 81190\n23717 28267\n22795 59137\n24967 38470\n60138 70883\n8074 60493\n38035 82996\n41575 64919\n1060 19548\n49356 50267\n38452 72919\n14747 72765\n541 9807\n39124 61235\n17935 43985\n19076 20658\n21940 77555\n47423 72688\n26823 54335\n10544 56780\n10146 85983\n40482 79683\n16418 20889\n17039 17621\n12523 75817\n68283 71688\n44107 52330\n4834 70536\n12963 13010\n31126 54630\n18295 42138\n33818 34506\n42478 44090\n8888 56549\n24774 32170\n20589 24847\n8213 48917\n10308 38574\n14661 61935\n299 4322\n22139 33334\n53031 55068\n57074 73544\n19286 81889\n12760 69233\n2414 61307\n13250 34851\n22033 79553\n19864 62238\n31581 62578\n45158 75894\n49681 56173\n19517 21401\n15805 82558\n22646 26079\n5165 60166\n13012 29305\n12466 35847\n2053 36421\n25097 70617\n1635 82171\n12843 74984\n63527 65439\n27773 84770\n6950 84666\n66786 83514\n40570 70698\n8740 61711\n20429 50007\n23186 27386\n69595 73216\n67808 69109\n1982 31783\n32700 34744\n54444 75757\n37112 82287\n573 72012\n25596 66051\n31290 58266\n31181 74413\n6713 14984\n57955 81439\n25618 34096\n24003 37899\n24226 71992\n34632 85291\n8345 25780\n8612 69851\n20023 27763\n16654 72414\n59591 71051\n28638 37011\n14019 24879\n32109 45673\n7110 39593\n13262 30413\n27092 33226\n51933 63906\n12741 39819\n3102 28244\n28938 72837\n25861 53342\n21140 47838\n1827 81577\n33064 60361\n36978 59868\n7563 60240\n75486 83222\n17673 85966\n31511 32351\n19952 71787\n52749 52877\n61806 71457\n45613 56091\n1066 19925\n10 38892\n35210 66103\n48502 48742\n40711 46555\n14449 21072\n81721 85184\n21056 42385\n11832 39132\n44793 76503\n39908 71865\n47647 81064\n3524 67149\n13142 69347\n6429 42790\n8423 20460\n55569 70149\n57621 61048\n2452 64956\n44331 52365\n41628 46571\n48054 73769\n3305 54001\n14975 82467\n38298 61312\n45580 50341\n4452 10785\n54256 79548\n31286 41288\n23639 74084\n2292 76457\n9497 34796\n58113 72400\n51912 70759\n1287 61726\n48803 82777\n14412 34874\n2911 10268\n10333 64729\n712 85613\n5641 15754\n31181 78353\n34848 38963\n50328 80024\n24162 26870\n13832 71253\n763 15570\n21287 71308\n16126 39944\n30904 74120\n66840 70138\n33208 54591\n23838 50828\n27206 61186\n33603 54181\n4112 43322\n64500 68810\n46178 67771\n22319 31322\n31871 71850\n34383 63016\n37854 62022\n37578 76393\n26631 66311\n24185 42289\n4817 7441\n4944 59391\n27933 38261\n57886 76446\n13625 44450\n4164 78594\n17842 68189\n27304 68915\n42614 48026\n27563 78377\n34846 37407\n8680 34861\n57588 79015\n38547 45471\n843 83198\n57697 71859\n4693 17373\n33330 79133\n32750 52770\n8531 27254\n3300 14893\n7394 20895\n15666 16308\n13737 39031\n14630 75840\n12435 42374\n17282 43188\n24536 79755\n26732 85603\n20751 71234\n74381 77297\n16011 84855\n3215 60624\n46987 80972\n40042 83623\n68807 74570\n31419 43144\n50046 62894\n58347 69272\n30397 59997\n63658 77168\n27942 49249\n48036 54163\n31520 84520\n18463 18540\n24578 48122\n12622 14580\n62028 70105\n49892 56949\n5084 68991\n38355 69931\n31111 36070\n1772 45541\n43843 51453\n18061 71178\n12200 85224\n27377 85068\n10503 31913\n48640 60586\n38746 70354\n46660 77492\n20724 68799\n21650 72055\n43438 59817\n49573 58493\n78404 83849\n2061 10701\n39959 66128\n32148 50144\n4433 76116\n10991 19363\n42252 48320\n14519 17192\n17820 83277\n34509 63334\n8679 53102\n69576 75125\n16107 80848\n13135 40125\n14980 64452\n33651 66541\n45291 68838\n4995 75351\n33089 79571\n28753 80914\n30055 76492\n19752 38049\n18582 43544\n41133 49002\n55516 58292\n40346 43979\n11127 58153\n53165 58395\n73687 83028\n73493 74813\n22113 83764\n19277 76396\n26833 65606\n2548 8229\n25352 49521\n4733 36361\n9712 57895\n61155 72470\n41331 65966\n9196 57641\n51494 71510\n16663 47345\n25134 85004\n61109 74234\n3635 39757\n60324 71836\n35500 40623\n10228 40419\n56145 71726\n33092 52428\n768 4707\n37817 55765\n54651 68000\n50089 59752\n52981 85155\n37166 61764\n5845 63617\n12130 54808\n32229 41737\n30003 37695\n7697 85006\n36979 63339\n24168 77720\n4746 77292\n17325 27056\n7942 16971\n9973 57459\n42389 76619\n37182 60773\n84196 85410\n11514 71694\n32330 69506\n48401 64779\n26469 27865\n29867 65105\n7570 35750\n12235 72148\n14722 53693\n64241 70904\n22128 31020\n58603 65655\n44020 47294\n14787 62721\n34946 69358\n18446 24697\n12872 24284\n24410 47819\n29704 46781\n10092 19479\n6804 67450\n374 68234\n53297 81830\n45387 77174\n7511 78464\n23765 45121\n28051 55545\n6996 18285\n28810 68829\n6579 7157\n9810 72620\n15890 18700\n26119 26246\n62206 67174\n75514 76170\n480 68804\n56990 60765\n11385 33190\n23892 71572\n34077 59254\n45498 81406\n9813 43717\n8225 31310\n26944 61198\n6226 6329\n7550 65940\n25463 82808\n30077 62069\n46956 49352\n34893 42429\n4264 53021\n27986 56144\n81250 84845\n20106 59104\n4703 65445\n52525 73316\n61267 61533\n14669 65884\n9190 37083\n40412 47476\n25063 69343\n36488 51890\n52846 58447\n51913 71035\n7562 40802\n455 18706\n36385 60064\n49713 50283\n1649 77714\n11565 24114\n8508 8686\n66774 81430\n83893 84094\n703 54925\n2578 9979\n50052 56749\n50635 71718\n17469 28899\n6601 65047\n72117 74048\n31023 68486\n17281 59355\n28391 74995\n71620 80904\n36578 42082\n63295 64450\n53772 72829\n14556 68229\n31513 67598\n1379 6017\n9210 55616\n31733 73193\n28960 83792\n48281 79820\n23242 43056\n25827 78352\n53430 83040\n23729 74718\n36762 78474\n7679 13499\n21345 64599\n41672 65985\n57823 66726\n56506 57867\n30608 32532\n53375 64273\n56726 65681\n8026 81629\n40794 41447\n45179 84293\n20460 26378\n54306 75327\n65795 80245\n6097 6200\n32235 63821\n58865 79033\n47852 74583\n9561 26913\n19756 52368\n5986 17102\n25269 76481\n72148 73805\n22977 80065\n72078 72831\n17615 21812\n15557 49805\n3228 61070\n50963 65223\n21693 27709\n19324 33620\n40992 58673\n36932 69564\n25402 54411\n32661 61654\n21140 49317\n13723 31972\n41622 73368\n46706 63035\n15463 61986\n22625 37379\n79617 83169\n37906 52805\n31445 46741\n45478 66464\n35100 84282\n40773 65283\n75843 78503\n21659 23351\n11435 47348\n2945 37519\n1349 20692\n21335 53890\n24548 46675\n60519 80080\n36941 59612\n74719 82584\n41348 83128\n16682 53604\n613 6656\n2074 74976\n9187 29668\n25044 82912\n2877 8831\n38588 73520\n52481 53053\n1096 18844\n8912 10166\n29659 33544\n23015 81121\n44698 64895\n12924 38242\n17626 30344\n17079 76662\n10494 32280\n45746 62437\n16055 30557\n9761 23415\n36348 66406\n24324 72514\n66831 78908\n67151 67269\n27985 34330\n80344 85817\n50672 52712\n11221 53876\n35045 70742\n29681 57229\n52635 76811\n36522 74843\n33532 55772\n10440 28574\n5527 18886\n33614 41465\n22129 38600\n8527 58567\n3318 19622\n1627 60878\n31773 43127\n30225 34243\n32476 42036\n53092 70319\n18132 21245\n35744 76251\n33864 75103\n4852 82823\n10527 27509\n34864 61004\n11485 22749\n8851 72740\n19018 64920\n2072 31061\n6061 56805\n11207 29185\n11788 20870\n17496 76118\n2159 41505\n48662 58649\n22595 85475\n1380 14877\n9760 33999\n49095 78891\n3382 7076\n2239 69951\n20397 56725\n32732 70527\n14066 53454\n46184 52389\n9457 54930\n45906 70411\n4244 54663\n41963 51964\n11601 69315\n28579 31983\n10047 51940\n19975 60574\n9208 68190\n38361 76866\n51878 59363\n8057 21130\n33782 37822\n35432 79791\n28255 74128\n39323 67262\n70645 79892\n2995 21213\n22564 28655\n34799 44799\n14611 64886\n4279 77763\n22319 64745\n60522 61943\n11946 43365\n37637 68278\n37195 61975\n41811 42619\n52500 63699\n41436 61186\n14744 69271\n72132 77545\n26748 85507\n18482 41735\n14518 76953\n34991 54695\n37727 67761\n19226 64338\n49180 78157\n10967 84542\n31792 71535\n12231 38013\n55983 56377\n1896 57013\n31775 54182\n24218 53177\n31740 38332\n48527 84328\n23653 70533\n77008 83297\n36736 39419\n9055 77937\n43800 70407\n40267 68974\n33986 55153\n6978 9344\n4536 69935\n42258 66786\n5382 35351\n26358 51300\n35781 59869\n54606 68654\n16729 81036\n3277 61337\n12809 29139\n36463 37426\n30258 76609\n16061 63013\n18694 72684\n57267 75474\n24084 42213\n31478 48675\n56020 78044\n49406 82242\n9786 39095\n14230 65211\n64786 69994\n78730 79604\n19938 52446\n58642 63178\n24282 60014\n28132 58711\n25543 85279\n3323 35503\n5802 75219\n12850 68035\n6023 80736\n22714 25752\n78895 81915\n27350 49633\n53415 71173\n7955 32277\n28638 77784\n15426 67814\n30070 84587\n36536 73634\n17462 43612\n24206 61134\n37297 83951\n58465 80346\n34571 60068\n37924 64611\n8662 71524\n45664 62502\n11340 81934\n6760 20069\n65854 82572\n34355 71153\n21276 55564\n31066 53544\n28245 85775\n14068 45746\n42990 54644\n246 67489\n9157 31569\n19120 61414\n63422 78761\n2994 48069\n53233 73197\n26039 39897\n31319 65207\n23084 44749\n33572 57194\n1595 37734\n17558 73244\n12335 37777\n28576 80763\n80188 80888\n24010 81140\n54193 63803\n27080 57906\n13409 26685\n66606 80997\n65228 81699\n1628 18157\n63791 75961\n33521 71987\n59981 66813\n25380 49108\n15202 33903\n46319 63408\n31423 74780\n58353 73433\n55291 83800\n34242 52698\n19893 26182\n5247 45808\n19654 29861\n7531 64881\n43529 53699\n39776 79760\n16477 20003\n11333 28092\n44016 69077\n9244 63576\n20586 23571\n34086 84458\n13532 48225\n13515 49428\n26865 70512\n69943 79784\n29280 48940\n414 54140\n4533 24250\n61733 85146\n58098 67471\n46607 55795\n50829 77461\n15342 53778\n40529 48836\n50509 60692\n37006 80198\n31132 78843\n71812 85976\n53553 83663\n789 39891\n3887 83825\n3191 48484\n41981 44274\n8420 79652\n385 46343\n40283 69242\n76834 82568\n20503 69655\n4253 48682\n27581 85495\n17311 67729\n65257 75741\n6676 75382\n46068 55739\n2533 83718\n35220 44487\n23196 29549\n20385 22325\n33929 78239\n27486 62795\n3126 20177\n11924 21758\n51547 78827\n54494 80022\n22509 57845\n66845 77270\n24268 52301\n32374 74400\n55457 68077\n42895 51191\n21155 54314\n52668 53567\n42790 53781\n11455 26988\n18603 46320\n15749 20475\n22102 84254\n29492 49653\n7187 78164\n54133 79750\n3512 17820\n33720 58817\n40191 85200\n14791 34298\n18695 69890\n18000 85588\n16812 37365\n68127 85846\n16815 64730\n23994 79335\n41680 62034\n17885 55988\n37802 60419\n37665 68045\n73814 81226\n3511 8513\n36586 45610\n31958 51613\n12972 50739\n7448 49961\n20374 26253\n69452 81873\n71854 85584\n7495 47558\n27962 35992\n49930 68120\n20854 63905\n19957 43897\n31661 69541\n38895 73762\n54569 84629\n29452 37383\n37600 73231\n64817 81294\n58468 83254\n59524 84299\n24978 48088\n44504 72711\n13223 24621\n12659 79992\n2124 63238\n29050 33331\n7272 50040\n30846 38499\n20058 81255\n15878 54180\n31289 52348\n3960 33754\n47525 62601\n39180 52804\n45427 79987\n46247 46547\n34827 71715\n22543 57044\n1799 67857\n54474 62695\n47023 75903\n8576 30986\n61715 64139\n31200 56742\n23494 28188\n2672 66187\n1512 65677\n31585 52341\n5839 32897\n31267 43699\n6478 18483\n26200 32274\n42237 55680\n2489 81838\n36721 37215\n35747 83121\n12508 56601\n3342 18046\n5677 33928\n34877 85637\n30070 34297\n4342 12309\n68467 80391\n81387 85943\n16808 44445\n34241 39278\n47050 79143\n41331 49912\n1240 52523\n6087 13874\n27157 57424\n13907 61163\n578 80622\n60694 82196\n19827 31134\n29339 57118\n18236 84328\n6578 23610\n49828 63399\n33106 43061\n1198 56450\n79644 85524\n47334 84608\n1426 36965\n29855 73603\n14004 16628\n25088 83020\n34945 80455\n7694 79374\n17032 22217\n36350 71755\n4020 84504\n30726 75580\n43568 63629\n8111 18592\n24166 35176\n46979 55096\n24413 76348\n37809 42802\n19376 54109\n25477 75218\n35813 64403\n3533 79354\n28230 85869\n30540 69456\n66419 74038\n37825 74903\n20442 30842\n42020 58744\n44061 47622\n45070 85193\n47172 77079\n10594 16963\n923 75404\n11145 73416\n44476 53012\n13429 27506\n36283 45666\n405 29026\n16258 74254\n39116 54683\n31403 62447\n5036 31380\n6921 27503\n20561 63890\n49976 50143\n56073 63771\n30665 75037\n21707 32366\n4290 32354\n24835 73591\n9985 26252\n65320 67529\n49322 61729\n37106 83946\n11104 67655\n78829 83372\n18366 67310\n11294 49047\n23593 29252\n78380 83618\n20113 25328\n19318 24879\n12508 18325\n50987 82115\n61706 71969\n48351 58343\n77082 85181\n48119 59926\n45188 51348\n19290 60290\n67249 83084\n16222 22887\n64918 72174\n8585 59953\n7052 21496\n13498 21584\n10391 39001\n22609 58652\n68825 75277\n27366 55857\n51512 62823\n13927 79228\n42950 55890\n28702 69657\n15641 85473\n28192 73821\n3846 7677\n28978 73353\n4219 30798\n14804 52182\n20207 42815\n52981 77510\n48635 84330\n6442 11787\n48254 78955\n12682 50451\n7297 72921\n2710 36384\n19494 22061\n13077 29718\n70783 84625\n5559 77712\n11966 13032\n31512 34132\n24983 50419\n36976 77920\n54140 65096\n59962 69355\n39398 45025\n32434 44997\n40161 71730\n4996 43336\n14894 18157\n16951 40333\n5036 85328\n12133 52097\n23542 77777\n33047 80873\n46825 66612\n17284 67791\n26720 55421\n5772 79865\n26162 40472\n43887 83639\n8415 29818\n13345 83097\n66149 82664\n55150 85429\n7149 10866\n26980 30439\n75996 81757\n62791 63797\n30712 44702\n15590 71161\n34773 81228\n3063 82904\n49311 63156\n50061 57857\n34943 47208\n16542 44231\n11785 41264\n33280 74928\n29259 40762\n35099 59228\n6008 56513\n63184 76308\n34879 54080\n8675 19773\n82 22845\n28157 56197\n55585 83246\n3256 35430\n44244 68084\n21623 29025\n22508 75717\n20901 78133\n44853 72146\n54026 55156\n67453 80635\n16240 21982\n73646 79799\n1400 85509\n10601 66967\n25779 78530\n5849 50684\n24305 72929\n35737 37887\n22489 61978\n41969 51301\n12706 59818\n47291 81934\n30019 59449\n4814 72123\n20959 69539\n57425 79607\n14060 50288\n23046 81781\n40840 44654\n12627 57891\n33235 71400\n18989 45267\n8977 9576\n40572 66466\n18602 60503\n72565 83678\n51359 75480\n38443 84283\n5025 70580\n11433 54678\n9500 53663\n47405 73944\n49138 74320\n221 81266\n70734 85680\n1231 48801\n55863 61193\n55366 69483\n13058 28880\n11172 37299\n37390 57555\n12136 18806\n29177 75959\n5369 46942\n11186 20118\n18608 33597\n15206 36225\n27998 57055\n5771 81803\n17894 25020\n22905 85135\n18585 46712\n60171 71916\n19506 22186\n18633 85172\n7375 78225\n56085 83017\n46894 66835\n20462 38879\n47886 67515\n41741 67686\n7221 79188\n7207 74603\n10181 39239\n30973 45184\n16987 32327\n74401 81208\n15140 37426\n53874 55077\n6737 35730\n43786 80312\n17500 32762\n6660 19144\n60840 61586\n24738 66469\n15704 58188\n12102 52972\n37452 60548\n7833 73014\n6253 72025\n17200 40453\n10659 65338\n1003 64066\n29043 38239\n50909 76175\n52650 59887\n44509 72084\n13007 25219\n3112 50148\n30221 34078\n3340 45696\n5447 25972\n27163 49542\n29661 49505\n17572 73269\n28261 79173\n25862 52204\n45936 53356\n21629 68631\n6016 79060\n21202 73476\n40455 41977\n932 60590\n52 62947\n23059 42681\n40695 52697\n3244 36790\n13652 46006\n60443 83780\n31395 63902\n19754 61969\n11639 12019\n1211 65331\n21509 55154\n52408 57716\n19754 28445\n45636 75100\n15286 38018\n63182 75591\n22893 26393\n24926 76786\n3584 25040\n54071 78159\n7359 33105\n22287 55304\n7571 12794\n27195 80493\n15863 57182\n21622 63288\n33225 51532\n7573 79532\n18142 84733\n10507 55119\n46505 50720\n35016 49679\n53160 83763\n15293 38397\n29452 77547\n2564 60066\n22255 28760\n9855 82476\n56522 83927\n42694 56613\n16045 53430\n41040 58203\n899 84058\n19867 64812\n51250 85205\n1975 38110\n48699 54598\n1234 26719\n48305 66745\n32440 34756\n6646 13409\n1103 78905\n145 66908\n21730 26804\n59617 84428\n54659 81666\n66545 83569\n44222 68235\n20750 74381\n21029 36324\n24266 25126\n23423 33060\n16221 62951\n47260 63429\n67875 73897\n33896 39843\n45183 59946\n40649 66788\n16753 47727\n27875 49919\n25785 77923\n67454 68358\n47269 58014\n62704 76771\n41585 51493\n47693 78489\n63226 72990\n17952 42666\n10677 15096\n19290 49868\n34695 55478\n45820 55906\n5548 14541\n15693 44467\n33726 85158\n2522 70797\n42241 48148\n36189 36870\n3981 24267\n27480 84940\n32433 59421\n9191 14106\n16719 74816\n31640 40824\n37146 57634\n41114 56455\n17252 57455\n35379 59831\n4751 14614\n20622 41854\n6179 6756\n50470 73766\n22609 84217\n75798 82064\n42109 71808\n20662 62141\n10463 23291\n67713 75243\n28406 67994\n4714 77395\n83609 85646\n67376 80231\n58257 77676\n6973 45561\n68710 72532\n1615 81652\n83292 85726\n29324 60765\n51735 53307\n3472 37277\n41064 49319\n5390 70664\n57195 69648\n1011 80634\n15454 46648\n2334 63879\n32102 61057\n43830 53322\n24514 49824\n24429 35617\n36035 53928\n32820 50084\n27210 36822\n9974 64250\n28421 64134\n1981 68976\n50728 85188\n39803 52560\n12612 83972\n21746 69619\n69692 79465\n32726 74712\n3022 40901\n23324 84882\n6776 50186\n37906 62970\n18054 58038\n33238 65132\n36387 78935\n14804 65994\n13751 53640\n3378 82333\n51741 61066\n7574 57359\n10427 27153\n18725 71173\n7700 54961\n42104 64072\n7666 59119\n1099 21844\n10761 32989\n5319 15246\n20196 20202\n11631 55039\n30949 73128\n35168 47648\n6391 77919\n6913 11225\n59340 71675\n41610 47676\n5126 54663\n54047 66897\n35841 79438\n7250 63164\n19730 67993\n15705 22502\n30486 41084\n12924 83696\n2349 76411\n50908 63172\n56456 79564\n19527 47904\n23025 48268\n5960 82054\n14202 66137\n2193 29547\n43701 71281\n31406 74246\n7192 16167\n30602 54944\n26965 33878\n14063 67409\n61751 67822\n5957 51181\n80793 81055\n12359 45740\n43298 75328\n4125 74628\n8854 52588\n3629 13164\n51449 60600\n18677 68240\n8523 43554\n7571 32890\n4716 79391\n24986 85786\n22586 36262\n6633 68639\n5173 74372\n12438 68623\n5835 59921\n58856 85793\n6237 41490\n15386 38242\n6762 60002\n59838 79285\n6784 33725\n43685 58391\n65774 79544\n2454 45492\n46901 69961\n24383 57135\n17502 52946\n9970 32043\n36520 45912\n53483 68870\n63690 67117\n75154 82856\n45372 80477\n24118 56078\n30491 45406\n43864 45530\n2106 20442\n44654 68067\n17731 63380\n44168 57102\n54672 81335\n31729 81428\n47180 70212\n33806 61669\n22945 45196\n11196 20025\n58736 82251\n11564 67353\n35601 36017\n29894 38691\n19283 33596\n399 74679\n13548 40781\n49644 61959\n23845 63410\n20792 39241\n6869 65297\n40559 80189\n19998 22630\n3819 70164\n30026 74058\n54115 60412\n14764 32310\n11987 74990\n7849 78077\n24605 64599\n18096 42979\n16419 36671\n39865 64656\n29409 66318\n74968 78470\n41727 82511\n11901 22610\n33862 84637\n29964 57093\n44583 53297\n83095 85304\n24096 51209\n6989 85990\n21954 59861\n14421 15410\n35815 83051\n7223 33424\n51075 57953\n17218 47227\n3888 82232\n18883 43783\n32175 78589\n52264 57222\n4480 19681\n31025 52125\n44487 45490\n22811 73945\n7026 80563\n46926 74282\n41100 54924\n30995 41748\n3057 79590\n40312 64712\n9002 59568\n25554 52651\n12755 73116\n20638 76243\n32376 71356\n16142 44841\n3631 5712\n16612 29323\n15085 63880\n64414 68920\n18264 55713\n5311 84926\n9925 62816\n57004 67084\n45395 63526\n202 59181\n7937 16672\n12590 50182\n23427 32096\n50084 81675\n3555 10828\n16410 20220\n10807 39944\n45507 55581\n20235 30356\n60668 68523\n26932 42412\n16062 50490\n43801 61795\n16611 73102\n38371 56734\n6031 15490\n78572 79634\n36152 43021\n27946 45463\n41836 60178\n34140 66703\n46652 70199\n11590 55196\n29689 42852\n1007 49466\n16048 41888\n85 22199\n13043 64391\n30232 57056\n3911 33839\n14019 30673\n9254 43068\n53560 73442\n68145 78567\n40790 64542\n23322 62273\n9021 52260\n20194 57836\n14035 76095\n38841 51730\n47108 79312\n52698 78827\n59182 73376\n40090 85839\n2440 17520\n25086 78404\n30138 71757\n34071 38094\n21888 74319\n71919 78028\n37302 69472\n5267 37826\n17380 72945\n41563 48078\n13059 45807\n28261 69316\n8451 60628\n23306 70346\n50894 53544\n73570 84904\n11679 14960\n64910 80181\n27818 74514\n30505 35389\n40247 48151\n25835 34826\n19010 42165\n34837 36662\n14108 73183\n49957 68930\n25398 25400\n67600 77316\n25008 63949\n31769 52194\n8510 32445\n4375 32345\n392 17157\n48548 80011\n21188 77105\n4904 32584\n63112 78238\n51057 67810\n13830 47782\n26346 48924\n48149 79309\n15338 57242\n25226 73669\n1579 71746\n26333 76625\n21893 76353\n16956 85495\n52819 77918\n18337 44307\n3389 35964\n57121 81444\n62545 65823\n32198 82261\n19106 38275\n39666 46273\n19332 52137\n29056 43660\n36610 39062\n40453 72526\n44162 72839\n25482 44477\n26641 62399\n66804 84071\n39395 63662\n11297 25216\n8287 56151\n38082 69019\n21654 73807\n35022 56895\n43582 82865\n30101 49023\n46591 76245\n9425 47642\n1293 41460\n42383 50698\n43810 46508\n37975 42324\n12912 81168\n8547 24468\n60743 66942\n10403 80334\n30946 63565\n58945 69299\n16690 51433\n75101 76554\n14659 33382\n72300 79401\n11581 70061\n50866 54994\n14604 56253\n12439 47009\n51268 65121\n21464 73618\n2794 44290\n47308 55394\n18624 46883\n13667 82061\n47842 53333\n34074 84368\n20187 82085\n41502 52402\n2834 56006\n47905 61362\n29688 84212\n46602 79921\n66275 70186\n31059 31872\n807 70101\n6217 22488\n36917 45171\n83812 85679\n22752 44427\n6179 25632\n6041 61045\n28312 83785\n17424 26256\n45765 47476\n60563 68173\n48744 85236\n7276 40423\n27045 71871\n24799 24886\n23322 59107\n40830 64970\n7943 43075\n32314 76454\n69088 85582\n29120 43958\n66398 75276\n39642 83887\n9851 42492\n46641 82595\n24381 27849\n10731 63015\n23406 64377\n62716 65372\n25574 40011\n16470 85948\n3593 81353\n31710 82118\n16523 31504\n15847 54376\n10458 48357\n23841 34617\n8184 48535\n42942 53303\n29684 67052\n80201 82674\n27495 63110\n9854 76358\n60526 71639\n19346 78911\n63666 78055\n11034 23718\n47969 50869\n10712 41308\n46275 67884\n45808 66700\n51079 85774\n35808 74143\n23106 42361\n50758 74471\n67160 74637\n29413 62161\n46058 78765\n25577 56850\n62468 64487\n41828 68743\n19496 82745\n27379 65818\n24559 85647\n58349 68992\n26578 67358\n43424 70837\n44766 70114\n8627 75874\n24921 69242\n46328 62918\n17849 26921\n71080 74470\n73045 84581\n6075 77669\n2144 40489\n9390 80223\n27222 41719\n25360 58416\n18113 28884\n55289 56536\n54642 58337\n11072 39607\n27017 50536\n17162 66030\n20045 49003\n26053 84811\n12676 61952\n29807 68679\n7922 80971\n18949 69733\n2128 76154\n5020 68722\n27761 71336\n7472 70026\n2719 33123\n37509 68869\n7649 81238\n49459 52688\n30446 48962\n33166 56899\n4051 79999\n34324 38689\n6219 9603\n23882 30400\n8702 44060\n40326 71258\n31969 55662\n39611 40971\n47709 76669\n37725 82935\n24291 31534\n43037 43462\n14543 31849\n51570 55876\n4281 33754\n68137 77572\n34959 47566\n24951 54201\n22210 51639\n33029 73497\n73409 83042\n20928 44591\n1173 21941\n2324 16990\n29229 34683\n61749 80542\n14670 54654\n29171 84387\n32714 70177\n30049 62849\n35814 55075\n17645 80885\n7551 76061\n48197 85633\n32810 84976\n19045 30219\n44340 75885\n13478 38727\n38780 39171\n9547 14603\n53674 64407\n46191 61949\n3391 71105\n29931 47005\n69616 79683\n2646 67788\n23534 68567\n53133 84529\n14939 38172\n28965 60601\n13510 83596\n19922 52351\n73302 84378\n49047 56557\n15953 60076\n27462 77752\n4607 56057\n37149 46282\n14724 37357\n40430 70519\n17345 75749\n31074 53287\n76996 79467\n15450 54149\n48230 68234\n11644 72858\n6742 16595\n22391 31926\n55539 77326\n19779 69058\n54552 65162\n40990 66186\n24286 59844\n53252 57203\n39102 81591\n71326 80501\n61740 74617\n2635 54685\n62382 81168\n14144 46809\n11345 64638\n4970 12625\n11322 78262\n53603 69693\n62011 70879\n42270 54531\n74878 80427\n5367 24197\n5962 20647\n4444 81242\n4303 45781\n35633 38145\n53197 60544\n15254 29655\n2214 44596\n18067 32689\n61282 82112\n8756 79066\n24336 65922\n2050 50039\n13712 37792\n15508 66418\n66576 72315\n67529 73036\n74139 80384\n9583 9679\n45535 59434\n9011 18949\n24004 47137\n7455 50092\n69765 76096\n20509 47749\n15022 81223\n35664 81776\n7338 58461\n8709 22027\n279 6722\n28953 49221\n45487 75893\n70589 80294\n19523 40262\n20545 25373\n28312 61469\n67287 72173\n43349 50733\n11120 52861\n13691 42454\n8974 64965\n23611 54091\n20714 26133\n20972 77702\n1773 70728\n31165 60666\n21437 69555\n3001 9931\n7202 62474\n18340 35834\n1964 30391\n15213 82894\n42708 53651\n41538 58017\n76591 81605\n14455 25848\n4032 40149\n6647 85864\n31872 52565\n60146 63982\n45143 60505\n79217 80514\n34204 49820\n41640 75631\n6863 28613\n34254 85008\n3125 8575\n65194 65863\n56474 83968\n10059 23345\n41694 52967\n17152 81868\n28888 43050\n13437 77211\n28160 66568\n76466 81944\n3958 75721\n7792 59008\n6543 36641\n7867 62131\n53467 78240\n69351 73791\n38367 83308\n57850 72675\n36130 44954\n59451 69378\n63830 65008\n68884 82646\n24292 51332\n12588 69162\n23327 47091\n7472 22440\n30022 47622\n25902 27173\n65039 66824\n33341 80509\n21177 68526\n26233 42886\n33667 74178\n45890 71899\n33621 62733\n6790 40192\n31936 51086\n3645 39059\n9035 58116\n60725 72774\n26648 75604\n79235 84886\n9556 51267\n50164 78151\n58502 67674\n41474 83383\n5362 80465\n3779 42972\n13395 69741\n13525 28738\n23558 68360\n19958 62520\n13231 56720\n28079 44459\n21100 52620\n23339 31180\n37137 85678\n57453 85244\n2654 6997\n16227 17516\n35816 62176\n36324 47838\n28197 61972\n48539 74193\n19243 71112\n21227 49519\n36327 85607\n40401 82781\n40937 75549\n6222 37019\n70284 71186\n18560 80580\n63373 82631\n10437 44072\n48443 81822\n9603 83027\n23944 66895\n16002 19987\n19587 44237\n1971 34458\n22760 57952\n10905 50797\n1320 71905\n18437 52089\n13590 18804\n49251 69423\n30133 57198\n14280 23562\n22630 49592\n67835 82943\n10909 30920\n31227 41781\n30802 58165\n18866 80959\n43971 49962\n33595 81943\n27208 45349\n33843 50487\n30268 52863\n47697 49554\n41730 56990\n26067 37204\n8944 16550\n7662 14642\n12608 35243\n45288 68857\n46923 82360\n1983 61472\n53614 78392\n1854 47732\n12823 67013\n4279 17315\n70757 76696\n14308 26871\n36350 47570\n38135 54556\n23877 73675\n9239 35819\n11940 36138\n4979 26607\n63967 81772\n24844 46954\n61172 71373\n8168 74032\n49308 53896\n55164 78517\n47090 59526\n1609 71114\n31674 34577\n54284 77964\n41552 62859\n55504 72862\n20591 53290\n1209 76101\n12453 82177\n9002 17522\n14704 23525\n73775 85851\n12710 48606\n6014 82515\n32653 41573\n5055 21899\n14254 68667\n28562 43222\n14123 71105\n28614 50619\n15318 81408\n41598 45992\n4620 57049\n52323 78142\n15334 79102\n50746 55840\n3703 51070\n17259 27428\n12379 46545\n50562 69416\n6757 31501\n11811 13843\n18519 27113\n3117 3471\n55683 56264\n647 83139\n3122 77257\n37441 51968\n68821 71870\n27395 28255\n7404 74433\n4677 37644\n19596 28332\n78621 85865\n27295 38865\n20 531\n13932 78591\n22213 40246\n6006 66647\n5478 78065\n13593 72710\n37756 64016\n4411 14130\n62041 72201\n30860 70639\n11871 78400\n48251 78462\n53278 81944\n15823 32031\n1354 74975\n22805 81454\n19963 77721\n6758 14457\n5383 36325\n64038 78325\n13991 59411\n32834 80270\n38500 79312\n28099 36255\n6741 18698\n21613 68817\n52247 81367\n15300 47580\n3073 9651\n56901 57254\n8215 79286\n66063 73596\n14474 29389\n23178 27652\n10548 67932\n890 45514\n707 79663\n62980 64920\n42416 63984\n25798 53137\n20684 68999\n39657 62655\n55114 72932\n58205 84555\n58203 68482\n29036 82132\n36519 53054\n42560 74747\n4450 58427\n4980 16465\n44521 73919\n13761 85016\n2437 22640\n6965 10360\n32266 77033\n69362 76476\n37889 77793\n19643 27237\n33955 81575\n1917 74749\n27544 58853\n9474 75206\n25752 46627\n46481 46872\n27202 80766\n20441 40100\n6436 65302\n13305 53742\n14534 37154\n53568 76732\n18553 66073\n11479 68053\n1544 13625\n18207 34598\n36357 49746\n13435 73746\n8945 82064\n20512 48945\n3063 21688\n3043 19941\n42732 50932\n25141 79830\n22325 50455\n36044 69879\n45904 54198\n23380 83386\n32578 83415\n1575 53427\n43761 84913\n66659 81168\n41604 73941\n49048 63607\n19340 79020\n18864 62740\n15921 40275\n34267 60849\n47920 63687\n1684 80779\n21880 63317\n12255 29876\n18948 56082\n41724 63509\n8759 81946\n7502 24786\n1570 35832\n16169 35347\n11374 11386\n5542 55514\n27501 74871\n33324 66002\n19410 66025\n45504 55591\n8104 84219\n15205 73673\n16312 63998\n9187 60979\n46050 54288\n34504 72208\n61444 76861\n1594 13010\n59532 73586\n19237 47987\n21950 80490\n8526 13311\n2882 32567\n36732 67283\n8628 66815\n39555 79403\n23858 39564\n13189 47500\n50851 70396\n26839 69317\n54233 75391\n702 17184\n70487 73745\n31371 74416\n16798 51546\n36029 58878\n18850 67721\n7167 16722\n11128 79506\n17394 50309\n61732 62977\n49533 55009\n10914 74473\n15641 40486\n19929 74133\n56334 78325\n4395 69509\n10700 35883\n19579 74560\n6158 36412\n39450 81408\n28446 43272\n75213 85702\n20005 53404\n1140 75369\n24347 82890\n20671 52070\n44546 72468\n8210 74938\n51769 77514\n165 32776\n35087 81345\n45648 57637\n77356 78147\n30892 72235\n60261 68243\n3579 31222\n18248 21748\n38317 44849\n37720 78347\n21888 68985\n6968 67710\n32925 37423\n1623 71313\n13346 58696\n868 19191\n40535 57283\n49408 79759\n58368 70250\n70413 76498\n542 25486\n32593 63634\n3953 4836\n2459 32390\n12718 67690\n23195 32563\n32403 66039\n19951 21681\n65497 77189\n31291 70484\n19400 30589\n76220 79617\n72233 76160\n13847 47788\n7730 19321\n945 38318\n15494 42203\n41558 68213\n6025 17220\n40696 83512\n24963 83452\n15019 25217\n46357 53116\n29345 80262\n17302 71388\n19907 70516\n18081 51635\n35943 36875\n34447 39750\n44823 70670\n33475 85959\n59383 62257\n46370 47767\n50430 58306\n26592 58021\n38970 51768\n19705 74878\n7616 49354\n6296 74582\n10962 31642\n64728 69245\n905 66602\n7413 10398\n6433 23518\n28934 85250\n4821 32911\n47801 85577\n7926 70065\n38643 46510\n54368 55952\n82427 84646\n40666 49631\n9289 75029\n62769 75038\n39497 60787\n21095 73908\n14101 22329\n37552 77749\n40032 56170\n20002 50456\n35438 83392\n31512 31655\n43316 65462\n40311 72669\n32689 45950\n53757 80485\n38286 53458\n39800 84152\n7133 49077\n46741 66337\n5642 33153\n13304 24312\n15859 25283\n27593 83981\n42965 55965\n46815 51059\n4031 37547\n62637 68265\n2632 84413\n6629 53598\n28566 52976\n38580 47022\n5949 7731\n13893 39012\n60326 61406\n29664 76263\n63518 81927\n58919 78448\n20137 55396\n21925 47554\n46876 84366\n41566 50774\n50196 52128\n42878 56594\n70572 80652\n44493 61154\n43293 76821\n70232 85577\n8919 24864\n3974 9039\n20554 66682\n22552 24333\n31701 46497\n63545 84036\n40819 78976\n22338 74141\n63673 65205\n42161 83524\n27028 51130\n30079 48216\n61047 75507\n46470 79764\n1572 80577\n14651 21875\n47636 70303\n42553 61489\n43849 74137\n9661 43320\n20819 68616\n22610 47727\n26430 64229\n17081 43920\n3419 44484\n5940 29542\n3068 27022\n59574 62711\n18864 57093\n26425 47032\n63745 70025\n966 62866\n26991 59678\n6400 37259\n9265 43736\n38677 42891\n33994 69640\n49920 58516\n50177 83678\n53282 85132\n27285 54204\n47655 54369\n4782 82493\n38967 66888\n78095 79114\n7457 28759\n14625 55215\n11754 65706\n9809 49252\n65289 76580\n22421 76455\n29679 46471\n10935 51158\n18016 60303\n42781 81191\n67523 83181\n33795 50037\n10455 78854\n16965 20374\n53626 57071\n18469 81590\n4196 29220\n28902 75053\n2626 32733\n56857 77988\n62264 71360\n3858 60240\n36400 45551\n10670 62339\n49538 54434\n31426 50155\n58596 62082\n52993 64951\n72121 73433\n7439 23875\n14372 79752\n26851 27032\n14425 35812\n39014 62001\n35790 46448\n5375 29747\n1919 17553\n47385 67244\n52660 78129\n68296 80646\n16828 32434\n3814 48518\n63452 70506\n1336 19714\n29368 51422\n25981 39038\n60631 74975\n3849 4601\n59252 81796\n34088 43358\n73060 73200\n67642 83798\n45821 49049\n12248 63370\n8510 62721\n18795 47956\n19902 56449\n4168 65312\n55424 85376\n76986 79637\n13423 75358\n3095 48393\n934 51984\n21423 23299\n5465 82640\n29818 83171\n2204 32289\n64854 78335\n8922 29347\n13355 37499\n12425 45161\n4622 76122\n1119 11447\n415 48786\n18346 62491\n72405 78662\n28457 66798\n32703 41881\n4278 68673\n32801 81236\n44224 73623\n77727 78631\n8864 68840\n29390 77711\n30882 83321\n41700 53631\n82063 83508\n18141 53335\n871 52420\n29103 78313\n21536 30075\n39017 81222\n17640 32899\n17846 18288\n20302 45924\n68365 77705\n527 13418\n13979 43014\n44137 64623\n1362 34001\n6031 53849\n18125 70550\n18338 36223\n18194 70774\n57131 59596\n26565 46890\n70704 73604\n34661 81120\n61671 74170\n20751 63908\n38149 76141\n45802 53820\n69739 84993\n33802 72116\n17449 65931\n46441 65690\n9768 34831\n7651 83494\n28217 31032\n6892 16043\n65712 73123\n61473 68472\n79065 81535\n16061 40696\n44145 56917\n9886 63310\n9836 39170\n10072 11949\n45048 65281\n27887 73422\n17215 78245\n67726 79780\n46030 52451\n9602 65567\n19477 29171\n64642 78877\n17047 22444\n22446 37005\n46188 78605\n8783 67755\n27039 32162\n55999 83912\n73742 75589\n15038 63085\n24110 46604\n10459 74757\n15425 45515\n12379 84790\n48492 80127\n9762 68799\n30122 79295\n32388 80592\n14618 21573\n27805 63326\n12087 76375\n52799 84442\n40004 80406\n21822 35172\n22650 27389\n43414 75645\n55744 73541\n45995 53773\n65512 80453\n74724 81673\n4142 60400\n23560 74756\n4181 39690\n31752 53269\n8910 63352\n66792 67039\n17332 41272\n22664 28345\n10356 17780\n13452 34600\n17511 31735\n5823 75123\n1466 61700\n34013 46393\n50565 65796\n64703 72975\n57246 80899\n24832 75117\n12018 80985\n5151 15361\n13732 60871\n30374 76846\n36027 80521\n21790 79048\n15586 46739\n27757 74420\n10458 44855\n9109 23147\n35175 58195\n26483 73435\n41482 47422\n18444 20679\n25415 74791\n8517 35452\n29135 71685\n60466 70019\n3359 13102\n10997 34199\n46511 64418\n49983 58611\n42971 44478\n5719 69805\n4976 85004\n56077 56651\n15985 60172\n4303 16412\n7627 71037\n737 6674\n5322 21500\n44104 52208\n25208 82430\n37514 83101\n9755 16551\n43813 76319\n64452 75194\n36178 39412\n49088 76572\n9550 46139\n46914 69788\n12103 81595\n36312 82686\n41594 45946\n20830 35217\n1924 46686\n786 14909\n3092 55452\n65502 75051\n68087 71779\n74073 82408\n1355 13499\n74871 76436\n46775 73722\n9930 42940\n31776 69007\n4738 14064\n72297 74639\n41147 58881\n4469 12921\n6710 45734\n15785 19373\n20061 62742\n17742 19508\n14374 56303\n48965 82853\n8025 59579\n9361 78563\n2951 58987\n26708 68465\n74934 78935\n17277 67264\n19153 71924\n17009 59669\n2767 6653\n58856 85149\n24270 41793\n18026 63534\n37656 41390\n56551 60290\n2452 83843\n41072 81247\n16999 57737\n8315 82341\n25795 74965\n60059 67385\n37696 74748\n53879 68836\n1443 58721\n24589 56585\n33832 75657\n34919 78494\n69980 73654\n6752 22091\n1461 38130\n3456 21062\n10908 13232\n3372 84701\n23242 31881\n43645 76189\n6694 37651\n79565 85201\n3737 50144\n10793 67763\n68982 85159\n416 39672\n48166 51685\n67152 82380\n42750 46968\n63701 64434\n4285 72291\n37824 52212\n46232 50029\n43670 46768\n20111 33375\n47052 80310\n16193 36836\n37506 76580\n41276 84146\n14191 71836\n55212 76518\n68179 73408\n22698 52586\n43076 72943\n42251 77340\n5521 43714\n47216 59532\n47495 84745\n44197 59120\n76644 83014\n21640 55616\n61231 85170\n28961 74513\n33895 48318\n2742 40179\n12117 27682\n17654 27551\n11058 61364\n1155 22143\n2551 12355\n27892 84071\n46613 62530\n24108 52071\n38786 76398\n5897 37391\n30406 47129\n20301 38256\n42257 72722\n38535 60120\n21567 70831\n47039 76805\n43790 83109\n15552 43325\n3801 30642\n41803 51849\n17483 20458\n2948 70431\n49439 53252\n24902 60102\n26419 54439\n60187 62405\n22967 76067\n3577 57940\n45778 60239\n10723 34083\n7893 44073\n35154 38479\n2065 28335\n7744 74541\n15393 36555\n11919 54255\n27735 44372\n34300 64820\n68898 78103\n30525 53055\n2977 47043\n10128 73595\n39605 60367\n16232 19666\n33070 39347\n21388 46704\n16309 24227\n66475 74819\n1577 5822\n17309 21285\n16394 53028\n40100 76695\n38474 73794\n36456 65954\n24584 80959\n9742 19798\n62706 63672\n38918 57342\n8802 68328\n10487 72011\n68732 76619\n55246 82384\n10886 78072\n11639 45304\n48794 50961\n1723 59293\n48669 51698\n63101 82343\n53913 65343\n41813 45992\n14578 73435\n6244 73220\n21478 63228\n48609 77311\n42041 45439\n217 48571\n12672 65939\n25154 50149\n47595 72429\n30067 41578\n10543 20360\n14760 42322\n21514 35126\n13803 14507\n61914 80987\n19733 34247\n13300 59323\n13904 50161\n22584 31637\n44906 68165\n30905 51729\n42916 65826\n26172 35739\n2834 61581\n20716 30052\n61474 83282\n38671 65137\n47300 69614\n19031 58958\n4516 34745\n16142 30257\n49705 84506\n30669 52045\n12597 31315\n24074 68697\n21173 78040\n17769 55184\n4729 66676\n12359 43785\n36932 80001\n53254 76554\n68087 83458\n41876 44818\n7609 84219\n22195 68362\n75348 84532\n26932 54355\n21624 84344\n13581 19282\n5112 8721\n68725 83524\n20506 81372\n51502 51966\n18939 83290\n38345 51491\n6098 37947\n6035 58091\n82652 84664\n24488 41176\n38281 71835\n14888 34387\n9544 40929\n46071 83797\n22643 73469\n76548 82457\n3151 55242\n7949 30361\n13828 44646\n50392 51889\n10668 50577\n33595 35025\n34888 44832\n10930 85585\n27376 35411\n4170 10909\n4030 35897\n35182 38938\n67470 67569\n61152 72224\n7293 72784\n3523 83318\n11394 15969\n17719 54526\n4140 5062\n48245 49069\n64048 73043\n27608 48610\n50320 50792\n13869 22257\n46787 66581\n34062 82017\n37783 48915\n11174 48625\n30459 41845\n11281 60352\n66344 79704\n157 29331\n29041 63771\n4456 14121\n38611 51987\n30142 70942\n56796 62752\n52991 53736\n19685 51766\n58547 79196\n31342 46190\n63566 82278\n15135 50244\n23686 40440\n14537 50341\n9225 40977\n77567 84793\n35706 51012\n35521 57935\n37811 52307\n2314 47305\n18954 73897\n82267 85367\n50176 52626\n4606 16511\n20521 31953\n31758 79635\n2631 21818\n10304 69107\n32058 46700\n1904 49332\n33824 68504\n12803 26919\n35232 41826\n4204 74078\n7149 84093\n56822 64858\n48610 60144\n35008 68205\n21038 74329\n21909 35199\n4369 64933\n83666 84928\n14732 81026\n36522 80679\n15494 33001\n15026 19733\n40837 44966\n40865 50012\n29303 65340\n30718 52025\n7507 33692\n19696 23380\n10001 60030\n46688 71247\n36453 62889\n19003 54402\n14678 30996\n16343 85187\n30728 32050\n69393 69734\n36641 72374\n51725 61422\n22848 80831\n11041 73736\n4631 81019\n14621 61182\n22809 48424\n2798 70512\n1099 17777\n38992 83572\n61255 65799\n10013 18138\n52501 81593\n2385 20558\n25425 37258\n64283 78947\n19900 20416\n8622 13281\n38757 76552\n22576 83053\n3311 63459\n21617 50900\n51682 58691\n32507 71463\n8703 70052\n9701 20860\n7248 32777\n59383 65447\n5825 28616\n31323 63618\n21497 55163\n53890 57410\n24236 75927\n31518 49976\n14575 85550\n22424 81505\n73261 79850\n8408 71123\n236 48137\n15765 47262\n1954 26078\n36943 58198\n42788 62540\n32189 70285\n22415 54711\n478 50236\n56990 59637\n1134 7466\n12277 74361\n60606 62505\n44129 77358\n50204 77925\n54579 70038\n77773 80900\n44635 49139\n60200 71281\n45177 60069\n22374 36037\n8182 70269\n50496 52782\n5972 9164\n23310 75010\n34948 35346\n48696 52881\n55347 81308\n17062 38486\n9407 12182\n863 78615\n26761 37962\n28472 42657\n300 38422\n30613 70856\n27090 64460\n37286 68296\n64549 66938\n11541 35982\n17296 76486\n9741 33788\n15528 19583\n23413 57498\n33429 39545\n43854 46568\n44900 84043\n54468 69971\n65468 85374\n62980 75254\n32584 52003\n46982 82467\n20852 69037\n23023 35960\n45809 65680\n11442 16332\n333 4908\n5739 61775\n9732 81612\n25688 49249\n42143 72493\n377 76802\n60283 76837\n38480 77242\n43666 68593\n27197 77035\n19632 29372\n61317 85928\n22399 45317\n6358 63587\n50463 81859\n51645 60634\n50560 77294\n44528 78423\n40869 62453\n14117 41113\n41362 82121\n28997 31034\n1732 27161\n11623 76540\n11605 75059\n60939 66253\n33616 36422\n41789 43944\n26917 45889\n4767 15830\n25920 80045\n40544 78473\n52801 59935\n61490 78417\n3294 20581\n16206 16819\n48936 65670\n15205 49993\n35924 83891\n46878 77097\n13283 37049\n41886 42084\n47339 71002\n25889 33429\n2762 6726\n2399 42119\n11136 72338\n68252 81899\n51929 77060\n71032 80333\n12690 63451\n5116 17480\n22574 59757\n43264 70069\n36968 45725\n48216 74334\n23934 61804\n19719 51069\n17891 54634\n15029 56888\n19503 22667\n7314 49478\n54367 81149\n30178 73961\n28487 82031\n45060 83278\n19987 79663\n23869 63696\n3561 58504\n32725 58682\n34250 36487\n19701 65741\n22280 38819\n11034 29948\n37729 39518\n15117 22216\n45125 78708\n45307 78814\n6908 77223\n9781 69056\n38009 68914\n37668 77281\n75150 82323\n2843 50701\n57 40160\n30416 50805\n57287 64435\n1792 12911\n70740 77924\n8642 43310\n69419 75841\n21891 70732\n16176 54628\n50565 78492\n25594 74625\n50085 57729\n38647 50114\n43851 75485\n32629 55365\n28050 63038\n25029 67458\n21883 53932\n23347 60531\n17893 49986\n1477 35642\n34975 85215\n7202 24595\n31687 68591\n16635 68613\n64074 64402\n14782 82783\n29403 54454\n23325 44240\n25367 44345\n3161 28341\n59384 64828\n20014 39439\n32509 34245\n35648 58608\n20984 36440\n14863 85696\n4205 62374\n51179 70261\n21749 61308\n68425 76481\n60367 80722\n53793 85873\n29813 48164\n952 79535\n64377 65139\n20412 84200\n9074 85917\n27527 69244\n5028 27245\n29346 85227\n66228 68477\n42093 74750\n38894 67875\n34705 59636\n41292 67440\n8984 74670\n42380 76056\n59443 72911\n26350 39979\n49993 77629\n39378 84409\n55443 57503\n28752 41987\n51548 72272\n31137 64098\n17063 48880\n15854 17798\n44584 80919\n50858 52947\n5063 71486\n58003 60780\n2908 70514\n55345 57876\n550 9667\n5977 51472\n55275 74374\n242 53093\n10812 61188\n27102 68589\n13848 24545\n36695 46952\n13672 18068\n23117 83348\n29910 84682\n19159 67803\n56013 70743\n2083 24397\n57586 72849\n12294 45478\n21752 36263\n19007 52260\n45327 81684\n13402 56763\n46249 71046\n46572 68624\n54583 74088\n777 4463\n22076 80365\n3092 35267\n45090 77164\n39337 47988\n22996 70490\n22200 56655\n38926 56141\n12777 33411\n55990 57226\n20163 26437\n16473 34876\n51777 68930\n52862 62314\n36237 36954\n61098 62301\n1034 4152\n40840 47776\n1704 17469\n32987 60806\n46784 69924\n2437 5354\n17146 61451\n43653 83484\n13776 58494\n35673 63817\n36882 72654\n23742 78200\n53423 70035\n4243 75737\n18430 76739\n44721 85615\n2585 39352\n83870 85795\n50491 60720\n5031 81648\n45127 74451\n73758 82904\n4081 25832\n7195 74920\n44153 75834\n75960 77459\n9910 69402\n29770 64193\n54651 77895\n61995 67267\n58739 67110\n13246 84583\n25331 43392\n1682 52160\n27015 46008\n28148 72201\n40207 53191\n60371 72727\n46232 80949\n24998 75816\n69613 82982\n56238 79683\n3404 10234\n8970 38105\n33581 56099\n39517 45791\n56677 67574\n6739 81313\n37137 72456\n76313 84187\n24494 60968\n52314 84047\n24681 58635\n7030 34334\n57851 83060\n17938 43147\n45208 82536\n47486 47608\n2039 60906\n163 48254\n70406 70460\n19882 45961\n6408 49560\n41736 76955\n23055 66013\n61449 80013\n16874 26713\n14562 80997\n13998 49010\n46488 64028\n8980 17123\n7864 43771\n53907 70787\n19121 84907\n34014 40549\n560 50135\n32340 84131\n14773 77669\n4325 24328\n14108 22575\n41134 41971\n26065 52476\n22505 31229\n34601 82591\n42103 57350\n55804 67679\n43761 51062\n9554 47128\n4088 76631\n12004 50392\n25965 83985\n56845 78365\n685 54371\n17340 20828\n76887 81554\n26682 48664\n47963 66396\n11146 39155\n3655 57006\n71988 79643\n10235 83719\n2198 79754\n46397 68961\n8467 33767\n55155 83861\n19039 75855\n12595 27318\n8013 50976\n43938 69272\n52818 65170\n6311 16446\n13518 48786\n52800 71948\n15447 38653\n34358 77435\n37081 54687\n9192 31723\n40673 47371\n35572 70382\n14963 32751\n62714 80773\n30103 76276\n17673 72492\n13175 65510\n14739 17922\n75656 80929\n20259 67978\n39264 84714\n51464 84202\n24921 85372\n29373 39268\n66367 70480\n29668 70926\n5658 10812\n5023 28205\n9255 17334\n30225 31851\n30594 45995\n58308 85392\n42392 48226\n50759 62714\n320 62678\n50259 82194\n9932 31837\n26897 79713\n39214 44743\n50 43357\n31352 44290\n5587 28315\n42906 74463\n13592 79013\n9809 58747\n5979 60494\n29640 54865\n34479 59048\n2549 78082\n17181 71799\n57003 57551\n27023 27594\n28329 80231\n35744 41647\n24703 56691\n68261 79808\n29866 36680\n6476 78290\n50890 56562\n494 67225\n50055 57872\n37166 63861\n55723 62276\n52672 56354\n57 30570\n55667 75087\n37590 54322\n35774 55967\n13838 36310\n54734 69807\n8937 72264\n5093 10219\n26276 85968\n38841 40808\n14152 20204\n2650 28842\n21980 76496\n10487 19277\n3887 53573\n48703 78470\n49256 68420\n66766 84437\n443 33832\n57217 84619\n19252 36297\n30348 70783\n25267 66737\n26524 79429\n4106 15577\n54976 74117\n8299 44147\n4930 31196\n20203 68194\n1068 27115\n16466 34296\n4777 40497\n66130 78947\n65423 77253\n28468 40227\n24700 41077\n25543 84413\n35157 72472\n6752 38234\n11416 44225\n22777 25298\n606 23007\n26069 64521\n1544 4092\n12808 47719\n9892 60868\n41429 42572\n5334 67102\n18245 51223\n14610 30633\n21351 22592\n37663 66959\n57349 80854\n2428 40546\n40081 48754\n10036 77484\n422 4139\n4163 6176\n23852 57589\n47287 52455\n23240 74812\n52066 68050\n69062 82293\n9472 68054\n32889 56182\n45434 57156\n29959 78426\n79208 80333\n34329 64301\n13747 77043\n63611 82577\n24923 82295\n55802 63421\n57884 70805\n50428 68716\n24060 44242\n50027 56326\n19206 70209\n17123 83948\n57952 82201\n9369 26301\n25390 30142\n41173 54798\n30046 30279\n5483 14339\n59238 83727\n44212 68839\n83962 84936\n18583 38769\n38 51649\n2073 3316\n6035 84838\n51219 68639\n14676 42275\n29250 69528\n8525 75545\n25806 31764\n77293 80884\n39156 42410\n25842 70630\n9949 15949\n5898 6167\n21438 26021\n31376 69149\n35126 66563\n43554 47765\n41686 44415\n5622 13956\n4229 80612\n33890 41910\n39329 64229\n25562 40720\n15207 55229\n51190 74895\n17715 57173\n21501 49209\n8088 40766\n10123 70881\n34937 76125\n7078 14719\n37563 68329\n19162 52348\n51577 59426\n11331 85486\n57765 70882\n4159 43516\n11385 19288\n27739 84057\n55244 85810\n50688 67137\n58144 78306\n20383 20527\n4048 36485\n54479 75800\n12539 36283\n5948 45202\n26823 40173\n26736 43229\n15045 85456\n29872 38227\n72986 81211\n53477 84484\n15826 79777\n28445 84639\n31536 71807\n65867 74440\n29066 55011\n54987 78640\n26927 33725\n47628 48056\n61940 77006\n53783 61390\n10083 17187\n5837 39939\n67099 80201\n11077 30920\n5824 68049\n17452 47982\n47691 71583\n48358 67067\n16410 81671\n16693 17150\n41250 81663\n6031 13790\n12184 55606\n15406 82684\n9729 53788\n62452 85662\n13253 43846\n53517 68385\n1445 73034\n1047 32375\n62946 82608\n20510 52954\n18204 20355\n33998 46687\n8135 44526\n1367 24607\n70201 82782\n13374 70858\n51242 52341\n29390 45208\n12229 56230\n57647 70264\n10302 57831\n6018 62491\n47257 78195\n29431 52041\n35520 36814\n12720 73617\n16590 43136\n6653 84644\n28401 76622\n74999 81638\n18038 23237\n36796 83714\n26572 60625\n51291 63743\n57644 75756\n28915 52015\n51543 81529\n11214 22954\n54489 71475\n54336 77623\n10083 46544\n420 49400\n57559 78231\n32122 42700\n43362 71534\n19190 80479\n19322 38760\n64856 73997\n3478 85453\n51533 72176\n31032 40154\n3159 70704\n84368 85698\n33422 78325\n50878 74991\n5043 61146\n435 64664\n2235 21633\n28937 84325\n33171 85078\n42607 60974\n26170 49632\n32645 67944\n6187 79249\n29764 76650\n9509 68855\n26960 36310\n53250 73321\n1885 62210\n20507 81672\n24123 44747\n34130 68244\n42452 77820\n17656 19478\n30917 42658\n25042 42910\n6588 45289\n57626 59157\n4635 17064\n1600 42421\n32999 78514\n20848 33457\n8404 29727\n25612 61909\n57357 74260\n22338 45597\n10757 74740\n23774 34446\n32763 68254\n46464 77243\n34089 69999\n2541 30499\n1003 59283\n72991 85685\n20583 53109\n23743 79121\n44779 73654\n17260 20852\n2704 26695\n36370 70388\n18291 47262\n1243 73016\n22993 44903\n44845 77918\n54786 65411\n18883 69768\n21034 61884\n52855 64821\n10614 19892\n25883 59520\n19918 84227\n19479 44077\n62640 79232\n15862 50295\n68289 79719\n23943 70640\n42218 52974\n20058 77045\n25551 80270\n44667 52098\n61856 64753\n68835 76471\n6217 63756\n21791 42997\n17318 27082\n29763 64357\n43088 45935\n31800 85813\n41343 43305\n47435 52697\n18558 21457\n37277 81835\n46784 79003\n14246 85874\n23367 49042\n10504 30141\n21124 67246\n45746 83188\n6103 18662\n29593 71180\n26500 53876\n35425 40486\n57792 77116\n12691 23783\n61012 83587\n14542 63731\n5941 30385\n4917 77948\n60790 84172\n7738 47304\n2406 81696\n5846 43402\n25547 38405\n1549 50259\n67353 82933\n35022 85992\n31903 63489\n49231 49935\n32044 69258\n3653 21198\n10869 80751\n23729 42494\n16421 60790\n16011 81740\n26476 66918\n29056 55062\n46427 84473\n25678 39514\n57786 58574\n31883 63585\n21670 74397\n14635 45048\n57884 68646\n27484 79492\n40967 63957\n7874 76251\n50269 71929\n37617 81357\n34552 46018\n34210 76559\n564 26728\n48396 54447\n60020 78576\n39253 59065\n4742 83302\n9335 76734\n22319 71846\n28633 55838\n25779 74212\n41910 78835\n25909 84761\n59596 64655\n29168 41854\n58982 64630\n2318 84260\n18101 40333\n10084 14611\n19112 81745\n17926 39029\n11281 13202\n26622 31922\n20134 65178\n3141 26056\n22504 65446\n8770 10675\n21875 71198\n28137 58838\n4680 46785\n21414 77082\n12818 46769\n35265 77010\n28657 45971\n43043 61382\n30887 67194\n31855 65165\n24425 61430\n11358 20809\n61438 84267\n13367 58165\n38660 41725\n68563 80031\n13411 57088\n41823 84931\n29136 61339\n7766 33412\n35319 59997\n2177 27492\n1364 76006\n2000 79269\n22474 27115\n31424 37329\n57944 75693\n44820 80347\n45557 57047\n46104 73331\n39560 69074\n39501 60022\n28512 34652\n50034 80893\n10178 27438\n28545 74496\n48724 73540\n855 63868\n55457 69097\n2626 5340\n32371 56652\n27045 53876\n44727 50934\n60398 62143\n36573 70350\n76381 85569\n13032 34451\n19804 64870\n47580 84401\n16351 52986\n14871 67513\n50272 82817\n18077 82994\n21629 51244\n4369 71493\n39221 69642\n3697 15538\n39185 54586\n63424 82003\n56226 75029\n58551 65457\n149 64060\n24814 58448\n35504 75435\n62129 73463\n8441 78515\n40439 80509\n1392 79406\n45511 60666\n22342 65469\n7470 27260\n4252 63839\n21701 42562\n8371 29891\n48867 72762\n16674 78979\n14803 18473\n6602 72801\n17705 79956\n4894 65018\n16239 30912\n74581 78403\n36951 83550\n36435 76442\n19898 33184\n10502 42262\n18924 30197\n29927 30106\n33717 34160\n66473 82191\n11033 42292\n31436 61407\n22576 65459\n16462 45386\n48827 50323\n8947 9383\n30704 32962\n46923 62596\n52704 81018\n40319 64734\n39375 72352\n69219 82265\n40198 74586\n18103 30847\n822 3848\n9 61720\n62600 85547\n62855 83432\n20700 29235\n15928 17940\n28701 43059\n4134 11709\n28202 43494\n50492 57254\n22164 67999\n13755 70098\n40661 73588\n20489 23726\n11577 16720\n9788 26155\n8189 69472\n50704 61182\n14183 82079\n19971 50132\n41894 85445\n17885 43384\n53874 71531\n13132 78161\n23035 50491\n3330 51976\n19648 39733\n21845 24125\n8664 58290\n32695 39167\n61165 65845\n46306 85510\n13578 26136\n9425 20307\n21919 71703\n62895 72037\n30041 33690\n38777 75223\n5501 57858\n48807 53293\n10953 61365\n12316 35244\n67948 74234\n46766 55961\n22601 84680\n25897 47754\n33075 65043\n46659 63606\n41830 43280\n20542 31727\n2893 68305\n8236 8707\n30788 51298\n11506 74476\n7230 24138\n53918 84749\n35903 56556\n4518 8271\n12243 46116\n49866 81163\n62554 64819\n35461 73261\n6825 54715\n35089 84649\n24776 77446\n36401 58255\n16030 48940\n48089 84434\n21241 58178\n70701 79147\n3852 58020\n20839 60779\n14713 63922\n8462 46990\n41884 61312\n26630 58178\n408 9656\n215 79346\n39046 39594\n19384 32902\n24228 46466\n20204 80818\n6568 21677\n27974 84591\n35838 45752\n53305 58212\n18724 28139\n41331 43359\n52614 77413\n12226 84408\n41416 52499\n9377 83933\n16709 84102\n72543 85412\n9727 81332\n38692 74379\n1063 15951\n34285 79390\n41855 51706\n8677 23379\n1622 43535\n16495 64294\n32407 40969\n45772 80633\n23660 25392\n21812 74874\n48501 73638\n30196 66411\n88 54463\n33093 57679\n8245 60499\n13608 72191\n8413 32246\n8448 29539\n3071 37091\n34357 79038\n25709 40318\n18152 69886\n64457 76414\n7915 43918\n9194 66395\n46319 59097\n3351 29682\n16681 58039\n18052 32182\n67780 76850\n30456 53988\n3047 24196\n2457 84551\n26038 26571\n25162 49748\n49001 56390\n49086 67721\n43627 62824\n20686 80918\n72075 76635\n17061 43090\n3562 74020\n2270 46618\n45869 60179\n7653 33214\n14758 35011\n13608 54792\n2901 20119\n48176 58618\n82233 84567\n15801 60112\n69416 78168\n18335 39689\n49182 54401\n17331 44325\n22879 69949\n20903 54023\n11942 20359\n12855 30906\n36983 78385\n16529 37226\n5040 45167\n5979 36384\n32130 52470\n1247 81205\n42716 55742\n43176 83855\n20240 72606\n3195 4867\n52059 80902\n37870 70352\n38723 41611\n56838 57017\n10440 52974\n10543 49979\n18995 20703\n2516 17020\n48284 68062\n1366 2091\n22569 75343\n18263 39176\n1823 51763\n23265 31391\n11922 38404\n2605 72497\n7636 20650\n54672 70624\n22782 22786\n56606 81831\n9246 52545\n43036 64620\n12576 69082\n3501 70572\n140 77064\n28979 34999\n23119 38474\n3950 78456\n15640 64503\n20354 54231\n36972 57342\n15005 71275\n28726 60377\n6703 65697\n29429 59090\n14646 63477\n18194 45352\n58356 61616\n41816 65416\n54458 68527\n58574 60103\n30661 38402\n10361 46270\n7223 39031\n32037 79395\n73270 75529\n53560 73612\n45072 59516\n60346 73900\n6449 61204\n41897 47064\n29068 78650\n4841 69634\n34491 60827\n48626 68951\n15243 15320\n26960 35360\n56869 63509\n29090 68693\n32651 35825\n15757 82053\n54453 62429\n72270 75947\n65416 66282\n48809 62032\n45116 50299\n10798 33112\n25571 39152\n7299 7900\n10898 12184\n31188 43515\n63341 63556\n13770 72759\n30477 39988\n64656 72850\n24657 39188\n46279 59211\n7724 78481\n3170 57060\n44784 57767\n35788 49468\n34427 56345\n16262 56025\n54266 65183\n45037 49991\n46362 82656\n7520 71467\n39851 82611\n56545 69999\n66514 71080\n54440 71309\n17615 49686\n56786 64528\n68148 80444\n14290 77604\n29658 55084\n23794 40567\n49095 51415\n14749 48760\n23618 50699\n17958 20618\n17394 72743\n22729 56779\n5739 78417\n15218 47196\n1469 33763\n23652 64517\n15371 66868\n16706 42624\n30212 54555\n65377 75123\n64870 78967\n36623 45091\n13469 27010\n52313 52721\n49104 73695\n21439 83061\n3585 39685\n15327 54744\n7363 65367\n81467 84770\n22595 46199\n580 10681\n306 3311\n53694 77102\n7098 57415\n17614 46716\n65140 84348\n45853 77372\n73083 83607\n33084 75167\n81530 85402\n9021 9076\n3488 46152\n9106 26310\n8764 76494\n63602 69688\n42911 46477\n14684 20768\n54217 59829\n24845 79895\n33792 60040\n21184 50323\n3748 29767\n16883 61107\n21119 33008\n54022 58691\n20544 36074\n58586 65452\n3151 17890\n31358 85922\n5321 23356\n30986 46538\n761 51377\n76019 80649\n28412 57145\n50880 54975\n408 60588\n16450 39855\n15850 68425\n23906 43566\n41068 75997\n33448 52760\n39547 46823\n14583 52944\n13480 79629\n16190 68435\n33636 73686\n37628 56570\n43916 54666\n54672 77945\n23148 62580\n896 12903\n51177 65460\n18558 53042\n14050 62281\n914 75724\n54605 61681\n25423 53927\n4063 5969\n12876 27004\n9681 45045\n7977 46390\n48639 70689\n48353 71203\n31000 47440\n7752 11114\n15705 26659\n12100 12524\n4474 20074\n16883 52443\n7504 31162\n13516 61204\n9599 62630\n22768 60284\n26952 35553\n16761 57858\n63455 77515\n9548 85380\n11373 53510\n66021 71355\n48949 70387\n569 77908\n49985 53355\n9193 17017\n685 76398\n11450 68082\n12475 42750\n14390 28898\n9235 29486\n61209 64434\n16586 34437\n10746 26406\n29412 50971\n64291 80430\n20876 63605\n23607 38861\n2842 42954\n7482 34083\n14722 53053\n17603 34638\n21737 82539\n50923 69406\n28292 74944\n19495 22439\n45814 63160\n14894 65928\n8412 82691\n40389 72814\n42734 51786\n32186 63592\n45921 63276\n33283 54401\n9223 55301\n13878 73128\n33222 78566\n24224 47130\n10498 58661\n27141 71944\n5857 64110\n25231 48239\n26531 81978\n19163 41434\n26263 84242\n31087 46768\n50043 78774\n33709 79640\n43083 44605\n25861 60157\n21653 43816\n59330 82618\n68412 85507\n35545 57278\n29286 83581\n25901 72555\n69197 85280\n4438 81413\n9901 79168\n3874 23890\n43544 72050\n28169 38763\n24965 77209\n2503 45011\n12960 73103\n13516 33462\n10594 79568\n30692 78266\n79355 83679\n32657 67188\n15148 33450\n44888 63677\n1585 63515\n13647 44530\n70332 83945\n50896 74633\n7733 77183\n10809 82588\n3079 32689\n7061 29793\n17757 63839\n3890 50507\n40531 56122\n38419 76027\n30561 81568\n712 68349\n4071 10057\n13925 40756\n7882 75453\n45383 63112\n49580 53522\n57987 68907\n62320 76792\n6410 81457\n388 84945\n49065 53038\n1265 2323\n38766 42156\n19439 76096\n44508 75393\n15454 43458\n24582 48074\n2883 23573\n15783 44885\n28497 60679\n33252 85762\n26534 49232\n10449 25582\n420 31958\n2749 14949\n13235 51807\n30652 65370\n10645 55895\n29718 35066\n34552 36906\n6597 17228\n9039 31374\n67712 72367\n17327 49462\n73122 84873\n29767 43216\n84125 84250\n12194 54713\n17895 72252\n6385 49211\n45415 65719\n39540 77662\n3508 22073\n9599 11240\n66588 71006\n18389 55082\n6137 71348\n17702 48343\n43107 43860\n2588 20944\n35181 84440\n7146 9595\n10590 85036\n33084 47736\n3885 28031\n40643 46658\n22740 49295\n9052 66575\n40287 85479\n5478 41140\n3640 24374\n27059 27888\n11056 61296\n7360 22142\n46903 62768\n59652 75538\n36866 84282\n1524 85585\n22546 37739\n16695 42458\n42191 43726\n59782 72241\n23833 69781\n52069 61756\n1696 82308\n6716 76302\n27395 79849\n45750 83796\n67828 75206\n49205 78650\n18383 39909\n43794 67215\n7496 23242\n15117 80868\n9220 21127\n37016 61158\n8289 10311\n17977 36181\n48357 73569\n3163 63444\n43688 58390\n36698 66855\n8728 76573\n4489 6623\n49602 82251\n28530 53360\n11286 63933\n38146 74474\n3894 69934\n28472 42791\n28037 76234\n31604 56895\n21001 29089\n54650 70049\n41973 50622\n8038 65744\n30494 34249\n63022 77153\n36611 67221\n31719 55537\n22646 48514\n17101 39637\n58270 84023\n34066 73865\n13139 41493\n10704 25664\n29772 30351\n20177 30196\n39558 65778\n77884 79915\n33612 66427\n33569 58261\n5368 44778\n3712 34693\n38045 41318\n49674 82172\n25182 67151\n19007 47151\n3004 49423\n14472 27038\n71041 75564\n18431 52819\n63365 78114\n36918 71453\n2361 41132\n23592 66815\n49284 58242\n44714 62384\n39956 46187\n19843 59200\n8457 66464\n53619 64475\n21970 60143\n77836 78955\n16465 71337\n1284 70721\n77064 83457\n39796 69580\n23722 48972\n8612 59878\n6427 33809\n41748 51595\n33689 65314\n13290 65304\n11953 13092\n61527 75790\n68201 68465\n45642 81003\n4330 78609\n27380 84867\n8003 12699\n25182 34369\n20050 36621\n21167 36919\n20368 21143\n9578 55504\n63029 85748\n15924 26622\n3574 23261\n37984 75145\n5506 24735\n4295 77794\n49987 82665\n29803 74736\n60682 84381\n32995 80551\n21781 39113\n26737 48083\n32742 50960\n78278 85164\n977 54357\n4650 83717\n40042 56727\n12946 31725\n15448 76377\n26672 31260\n19856 79105\n37490 61863\n22169 61607\n35143 37957\n22051 63790\n18289 31492\n416 54488\n18773 25528\n7913 47070\n8350 26450\n56261 85062\n31385 56042\n5383 70521\n19072 54457\n25323 51741\n5096 15381\n45013 84301\n1575 69432\n44019 54232\n36189 67026\n16063 79214\n31257 58628\n18477 82984\n15537 70452\n42433 49709\n13710 62158\n10221 66459\n33925 37377\n14314 25581\n5759 58807\n12190 83497\n30672 60871\n19095 24831\n14711 40451\n11851 80049\n71810 81420\n48641 74423\n7645 24136\n38504 49815\n2296 42205\n531 3354\n9770 20821\n55681 69538\n9328 63924\n79114 79199\n25828 37033\n51404 69776\n17274 58197\n1204 62607\n27984 83122\n7721 51267\n4982 61133\n26186 62942\n20571 75100\n19582 42281\n14917 20818\n12032 13011\n42400 74400\n60948 84379\n62581 80397\n28705 49168\n5811 31281\n5472 70566\n61385 72180\n28979 34377\n67371 77690\n13365 52586\n14984 65956\n46261 53298\n16217 22586\n28588 50806\n10983 46178\n70847 72532\n26344 70468\n50498 69692\n12164 35788\n37387 62378\n31643 40437\n10829 54185\n31250 74868\n9407 53882\n21534 69331\n5851 42800\n38267 65181\n35004 38068\n11974 15136\n9682 12623\n57731 78772\n13665 15773\n20130 60959\n65004 83667\n13083 81310\n27871 77314\n32921 50663\n24053 74376\n16037 18924\n16768 33096\n1728 44128\n12739 80080\n68636 85206\n13716 80982\n12025 59850\n13578 16556\n31885 83742\n26954 48642\n1781 85846\n41291 78755\n12797 58534\n1539 42753\n6476 26822\n57534 72560\n32630 59579\n23684 82589\n22797 33683\n44096 50441\n37317 67167\n69398 79169\n14857 64067\n26702 69536\n54859 57166\n6910 57813\n73409 79010\n23723 65938\n14620 66858\n11201 42176\n46736 75680\n26333 45228\n69721 81302\n47574 55755\n11704 11911\n21137 56980\n58907 75244\n16723 35266\n8468 23873\n33438 60535\n15664 83077\n20545 43511\n47128 57922\n57514 62184\n60562 76914\n19028 35745\n6277 51673\n29388 30276\n18692 24167\n10463 32970\n1832 41352\n11384 84508\n26602 65553\n6685 59296\n6798 81858\n16640 81130\n27500 61936\n39717 75633\n73819 77412\n42059 60075\n7864 25588\n24384 76952\n39197 57529\n47000 57052\n30011 85263\n81259 83943\n72550 73016\n38840 48764\n47548 79561\n24513 69032\n45960 82710\n26300 45213\n24113 41130\n9567 65632\n16210 69712\n45519 53957\n4778 45075\n23375 46602\n58079 79353\n35736 41672\n7549 69965\n55143 59267\n1460 66617\n28450 74577\n49828 57496\n1382 26158\n19480 50545\n55385 76000\n5391 22362\n37783 44318\n6966 74983\n38754 70744\n35693 71194\n6345 8521\n669 22400\n31448 52188\n2674 6374\n18881 44746\n26769 72853\n31245 73149\n41892 74596\n78455 85293\n53735 55175\n62385 80531\n42710 82153\n26402 80741\n1138 83683\n82895 83839\n17477 33127\n41992 69797\n29730 67550\n12278 52691\n3264 56486\n40933 74859\n17601 64530\n65509 74841\n11814 21354\n6950 32998\n18244 56289\n6340 81905\n63482 68662\n26196 65978\n27108 33479\n7856 76123\n21972 45118\n5233 19879\n29927 46371\n80954 81798\n15061 79148\n25505 68851\n60190 70737\n18089 60976\n51970 52949\n31477 76822\n15492 72405\n3722 75367\n28696 43872\n62542 77574\n8355 65917\n51202 71379\n47350 53970\n54905 74640\n29486 46695\n23630 33621\n24343 56332\n8998 63310\n39286 65556\n34134 80506\n26674 37293\n2600 26439\n2579 49595\n10525 46779\n31358 75799\n27145 60774\n9682 36088\n58340 82919\n3575 14924\n49361 50237\n3056 15759\n6270 33945\n50166 85430\n6306 72973\n66473 80533\n8953 66338\n78471 78955\n65120 75674\n24382 59104\n8444 45654\n18746 19499\n47932 79928\n9267 18586\n3377 42268\n23589 53714\n61978 83542\n39659 74701\n2759 17201\n1903 30532\n8055 12547\n49013 72045\n3555 62268\n46352 49367\n70095 71210\n29704 52335\n53233 63082\n74220 75783\n27908 49366\n31204 79241\n13321 53206\n3558 10093\n18541 44467\n2187 39241\n36047 63670\n54560 82240\n56656 77279\n9132 73590\n59453 69348\n34323 64242\n4603 55115\n56249 67185\n1422 33241\n15160 57971\n59468 62389\n12662 18578\n51111 85584\n74381 83013\n20517 60081\n58211 61201\n35472 71875\n16399 28146\n20989 75293\n18402 44579\n4867 82137\n2228 81808\n2190 8830\n43937 83657\n16842 22874\n56395 82043\n32584 56603\n41458 45392\n65071 78080\n23796 69606\n35970 64402\n59978 60244\n23088 77220\n31649 46128\n18759 38257\n18640 60158\n37364 59363\n41521 80556\n710 34264\n83482 85845\n52547 74441\n42957 67885\n38567 67200\n28274 38310\n55835 80195\n27159 79375\n17207 39874\n15839 15891\n29184 31976\n26563 64498\n52325 55114\n41265 64893\n1775 53745\n51981 63380\n61626 79286\n19874 70489\n76274 85781\n23799 60830\n10512 50457\n47395 54176\n51416 51885\n63113 72709\n48899 83002\n14592 58636\n16180 44997\n4096 21258\n13584 20430\n17139 41079\n20866 73550\n2197 47577\n19826 79346\n24007 75565\n78470 82264\n5035 30832\n45999 51229\n892 85169\n1566 42093\n71778 72033\n47090 85758\n46254 64885\n43279 58328\n7618 8589\n67042 74325\n44615 57730\n67721 84983\n34048 84975\n47391 65158\n46929 64445\n29376 78547\n10867 36534\n11052 59973\n36871 41778\n55986 56200\n11891 79039\n30138 81253\n65373 73253\n37520 53898\n38999 62418\n58950 71026\n36034 67769\n17785 80309\n15334 52038\n30230 30424\n11914 35594\n9777 77446\n1611 22965\n32186 60040\n1935 65665\n3695 67396\n3073 56858\n34114 80066\n74498 85625\n1489 52937\n64766 80027\n22380 65822\n37613 46076\n13549 58391\n34204 40379\n21658 73561\n30732 73404\n4857 66758\n27948 76981\n7188 19089\n39543 52023\n16277 82484\n3136 57198\n18866 32140\n1102 43055\n67639 84255\n6990 35717\n52114 67154\n39789 83282\n18851 28227\n36048 73785\n44025 58243\n12625 26583\n62073 72625\n8131 63666\n21011 71151\n31371 49236\n9293 49449\n30572 56004\n67838 77596\n7284 25473\n50818 73183\n27666 60791\n31831 53020\n32004 63964\n26736 80384\n19596 48806\n48738 70684\n9619 81277\n36775 44593\n34565 47721\n61714 81716\n63945 70352\n30411 42586\n59181 81461\n36620 65167\n55608 82686\n43592 70105\n14693 80380\n11850 39545\n23083 64911\n7287 61388\n1094 62942\n8318 38277\n77754 83076\n9373 16820\n13597 39429\n16183 71440\n40186 70111\n46004 54890\n38963 51532\n55583 79037\n23588 59300\n20977 28407\n30133 31729\n60537 75923\n6431 48751\n22223 49250\n4094 54178\n37599 84400\n4386 42421\n35127 53251\n43280 66799\n70456 80885\n4959 25615\n22678 65144\n21430 22526\n10456 74989\n46506 49089\n15774 38304\n30892 72208\n17208 84693\n4089 78891\n5577 27417\n71935 85928\n2803 32322\n63117 85074\n16628 78632\n40848 47467\n58956 69293\n23772 82409\n142 83613\n59130 63505\n77723 83439\n52010 77008\n24440 67784\n53296 84980\n39284 84159\n91 12277\n27982 53621\n1832 78044\n14572 31096\n35477 49901\n29863 57817\n8101 28013\n3495 18427\n8877 53369\n28550 51708\n33555 79375\n21243 82753\n59231 64140\n59241 76615\n7627 65239\n28794 72087\n5378 83617\n628 50749\n45570 53028\n28509 78677\n31857 39606\n49084 84869\n11161 14785\n18589 26859\n17533 33207\n2812 75699\n65141 68770\n38220 85590\n21139 29085\n36496 74912\n582 47403\n79746 84575\n1130 47078\n46441 60848\n69959 82581\n27220 76428\n23898 55557\n36860 47997\n3850 48792\n23311 39141\n46546 67531\n19974 24115\n56734 81719\n6124 34730\n17404 19467\n56425 60419\n34506 68203\n71308 71804\n30103 75153\n4294 13788\n2144 25009\n59511 78903\n32305 55727\n10661 82174\n29978 41276\n35949 49203\n95 85775\n4566 56442\n31569 39264\n37711 57574\n31460 69933\n4311 83335\n22660 62089\n28859 46436\n8028 60960\n16723 80497\n65761 83898\n8182 49231\n42886 45685\n8908 29680\n15274 47080\n7402 28448\n40733 60635\n13470 49498\n37774 57017\n6258 69360\n43890 46596\n18266 55491\n9265 16402\n32750 33098\n29037 31893\n54835 68253\n8899 73919\n4249 17944\n41242 68821\n11982 48939\n28871 83080\n7494 73591\n25861 44595\n6135 70355\n22322 78670\n16156 65371\n37223 42392\n40206 47154\n57750 69882\n65989 74306\n48855 62036\n21324 44114\n20427 43949\n55158 57028\n51223 58296\n849 10908\n34796 46110\n17866 38941\n16535 80579\n60364 78504\n24871 71696\n27180 34076\n5353 40223\n23584 82034\n20766 52785\n26108 34814\n39633 70344\n31486 44244\n42519 44251\n18683 28839\n15893 23900\n25423 27333\n4895 53618\n15262 17867\n6570 66616\n44245 65847\n20073 61934\n11840 48892\n33512 77633\n32746 64182\n50488 83669\n43062 56741\n8324 41192\n31029 52652\n54140 65598\n62492 66812\n71483 74793\n40952 80933\n12435 81589\n75329 82603\n44963 62545\n63710 83454\n54895 67568\n51163 53880\n7255 65198\n43673 70630\n62924 82232\n4548 7111\n18961 38402\n13835 69377\n35527 65599\n41934 65627\n6913 15640\n10509 44587\n12242 16143\n1719 3369\n40224 55989\n13727 33780\n16919 64189\n2787 42564\n13330 77759\n5893 34771\n22949 30378\n2836 83748\n8812 52578\n8554 31152\n16870 58509\n67672 74002\n22296 23051\n2903 38353\n11827 63332\n55374 72966\n53880 58494\n71555 78984\n30104 33736\n61688 68119\n3051 9416\n44749 65309\n3270 14725\n29936 58414\n8299 38383\n51599 54484\n4158 48549\n42982 67789\n25308 77721\n19627 47390\n28479 34126\n37081 47528\n26265 46781\n8162 14686\n33546 52503\n52923 73550\n3854 43105\n47339 66429\n16549 25278\n2769 56092\n18386 60764\n43115 50826\n38639 62992\n10302 36385\n24627 69831\n64120 79310\n15230 49103\n6660 14626\n40063 53439\n50266 83337\n32941 77211\n52940 72049\n5728 50829\n33664 62660\n13134 32658\n66526 77307\n9648 46426\n56069 78199\n16704 58263\n23857 35080\n22720 74891\n3817 7188\n5333 7780\n68931 76898\n32428 58820\n1387 80379\n15539 50379\n4070 76019\n8943 37015\n16367 54124\n25652 30720\n48073 75744\n82681 85630\n38187 69977\n78728 79952\n19894 76385\n10820 62740\n37448 39376\n4470 11467\n11312 73775\n49762 55862\n26602 39133\n49899 84925\n64089 69748\n47962 59146\n65817 66941\n28656 81298\n36146 65640\n27427 36313\n59802 79107\n2586 82399\n12669 84822\n34900 77874\n49194 79707\n17111 36009\n2386 64196\n18472 48455\n9710 41674\n20483 54935\n6753 64347\n18878 62661\n18016 53824\n27697 76176\n58585 85205\n46735 83005\n16625 75800\n35734 84635\n4588 11181\n1931 28940\n8792 31830\n9191 44618\n30049 81635\n17832 85218\n3973 4000\n58528 82353\n70010 82913\n19091 62699\n43111 73927\n3626 47019\n22188 84097\n22813 24824\n22542 50534\n15193 57986\n28171 34216\n17627 32852\n18737 77314\n23060 69188\n264 12345\n19482 38465\n22470 64791\n40182 59526\n59173 82821\n49353 84482\n13937 17321\n17477 65863\n40271 81083\n38789 81617\n5903 69602\n17329 24135\n71746 73498\n22958 28969\n34634 85570\n13032 39217\n37104 41657\n19659 34467\n48903 57150\n39469 51180\n43870 82859\n9461 25148\n23197 78919\n9786 70256\n3234 81165\n10583 63930\n13973 78266\n23147 37302\n36016 53994\n76370 77587\n48673 67702\n34574 82227\n59307 75219\n30302 63249\n14243 22212\n1892 33456\n23731 38029\n5395 45939\n42605 47232\n10567 68362\n67127 67331\n55439 67438\n60787 72667\n59436 62778\n22594 28407\n47507 52955\n17361 42008\n72608 84554\n28531 37130\n54955 68749\n25350 77763\n58747 82378\n33321 72055\n9912 75323\n56591 85982\n25900 31205\n12461 64506\n35398 51287\n5014 69437\n16609 73619\n32115 39635\n60983 82948\n10255 33546\n20836 40432\n3446 49656\n45920 57455\n20251 54143\n28363 72757\n8208 53390\n14057 26738\n43295 79670\n78036 82628\n31038 49672\n35054 81505\n45574 51395\n10107 51871\n36444 37865\n33172 63432\n35902 75966\n43734 76767\n16086 82142\n20875 31080\n52606 75458\n45734 49762\n61415 66733\n11633 14664\n60859 72852\n30511 42011\n36476 49917\n55937 84044\n31136 45806\n14889 49718\n14691 38127\n7530 20379\n61723 73733\n9845 13906\n59341 76733\n12969 80814\n4546 64176\n57973 71973\n24843 79877\n17551 51800\n29610 73431\n42739 58786\n13057 20630\n32810 55927\n3795 58987\n6647 65073\n2270 41150\n61505 82352\n49679 77389\n13488 13683\n45792 58925\n33951 37992\n56185 68751\n27901 41927\n2683 29950\n18102 53507\n56683 63619\n50829 60750\n44912 68504\n56281 80993\n4751 62927\n5096 22890\n19728 30384\n7367 84692\n1704 35842\n15350 57173\n2030 58727\n23474 59898\n18969 85326\n34853 62960\n3241 79997\n5945 22218\n32796 78573\n32131 43057\n2871 28920\n21280 71730\n58442 78579\n48897 85142\n20774 28546\n66341 79665\n16428 31689\n1258 38158\n50792 71993\n68334 83341\n51993 67046\n13746 21282\n17340 50023\n49918 77075\n8049 16185\n13906 52631\n48574 69634\n17398 44478\n62974 65820\n578 80358\n49646 67623\n20939 30320\n11768 61936\n62893 71149\n56275 75915\n40274 45902\n19785 71488\n45724 85433\n20742 46080\n18254 46054\n16955 42884\n76278 79127\n6914 20923\n18607 25286\n20543 49061\n60369 83551\n5097 16129\n4943 46441\n32274 38161\n782 57650\n6174 74834\n8882 8953\n45814 82383\n32141 65286\n6360 51198\n36745 63592\n32943 66608\n16441 56875\n6955 47143\n14892 16688\n589 49584\n27508 66301\n18695 31286\n3556 33461\n1558 2548\n31524 51873\n30200 77283\n2634 35238\n44086 53050\n40570 47625\n25701 31652\n51269 73445\n5540 45358\n25651 83780\n26820 59239\n70786 79905\n55943 75942\n3615 24140\n25486 65364\n9133 16009\n9477 65102\n40599 45474\n31052 35748\n17603 28956\n36952 48716\n33519 55335\n53074 64317\n4628 47612\n27254 53311\n30479 49392\n44590 54079\n16839 19073\n4648 67649\n11553 32574\n13671 84101\n73168 85800\n48083 66594\n65480 69790\n37542 77251\n78164 85571\n68631 74742\n14913 57362\n9772 54437\n15801 78848\n6260 69369\n29222 38842\n50511 64313\n14073 47338\n15723 33337\n30903 50039\n26123 82917\n14952 17792\n2624 76632\n11084 61849\n25592 64468\n50835 78579\n40520 56595\n14208 64220\n11633 22103\n21946 68808\n27919 70304\n43538 68875\n2265 27193\n10153 47468\n10820 28002\n8906 66084\n18212 27825\n10940 45822\n32885 79931\n5930 35998\n4887 39859\n43267 54405\n12313 24801\n6092 77262\n47681 71130\n47692 62078\n12616 46305\n29002 61349\n24231 32633\n15088 31330\n8555 79800\n64969 73033\n10793 36339\n16856 54769\n23258 37167\n53665 64128\n60723 78175\n19819 81111\n27816 79628\n19835 26592\n21719 76424\n36336 50012\n3095 18404\n81060 81110\n55748 77121\n73647 76151\n23125 69206\n24542 85314\n18828 83886\n20798 32053\n27423 83247\n48798 64820\n14782 45900\n55466 75522\n3391 56398\n43286 51860\n67896 79788\n3109 62577\n30975 55303\n4911 77230\n38982 50183\n3371 26988\n71065 72271\n18959 72446\n77857 84924\n7938 76012\n12415 19625\n23731 37002\n20580 57145\n10335 17728\n63174 64580\n65320 68312\n30751 60455\n33362 56959\n62189 85724\n7518 59988\n16312 39362\n45039 75249\n33200 64330\n24912 78539\n7789 69348\n79600 84965\n24775 70981\n77036 83946\n62636 72833\n5599 42287\n1238 46688\n10912 65850\n52601 82728\n8920 79333\n3309 29051\n62921 85643\n11893 42526\n37387 82663\n8281 43870\n5247 64852\n22937 60647\n24188 70495\n5281 40631\n11485 80018\n5435 7297\n38325 41362\n68442 69235\n29649 72008\n19270 32311\n30282 61559\n25685 84602\n26551 62493\n17314 50542\n60315 68936\n27547 39299\n3035 33485\n29507 75607\n40249 46541\n21108 53114\n23885 63766\n40687 80187\n11733 77917\n10362 73674\n24345 41858\n48564 61523\n6943 10268\n41482 61923\n43143 50014\n2359 83628\n70035 75444\n39902 58032\n42596 63960\n8222 39168\n16168 77270\n69289 79410\n18476 68417\n30388 80859\n31060 73422\n17212 50540\n61878 65641\n55646 57539\n1271 37941\n51936 60024\n15126 74742\n5969 7185\n47875 48854\n17377 49256\n7958 60125\n3947 56869\n7630 14880\n10720 84136\n8807 75480\n12044 20805\n30977 51738\n44539 79928\n72982 84263\n41193 51465\n11105 23801\n24039 79429\n45508 55413\n38839 51936\n36422 60958\n49017 51915\n10041 12878\n25918 57178\n3387 75696\n608 56598\n36280 58066\n48393 77401\n27812 64909\n42828 80487\n2306 21443\n30386 34573\n9953 36535\n22223 32104\n10636 32952\n8731 33783\n9183 82260\n21246 66768\n44086 65112\n52571 54687\n47188 81832\n32180 60510\n56379 68596\n14313 16637\n76308 80045\n45005 51429\n62202 74239\n30862 51077\n25278 59950\n46470 48387\n906 63983\n10822 17173\n29512 50375\n2266 18558\n5656 16862\n4073 61136\n4331 36213\n30091 32631\n40289 46060\n4932 54722\n20893 27660\n67958 79240\n26845 75877\n6990 72178\n51474 60637\n63863 69949\n10181 47141\n36073 49200\n3676 33677\n11030 51242\n44239 46311\n4085 31424\n634 82670\n65722 80879\n31238 46882\n11500 40605\n41710 75922\n64306 69337\n11576 41873\n16294 58988\n22665 34437\n14135 78006\n48032 56014\n66521 68939\n60854 68280\n2565 27579\n5098 54113\n27506 59166\n29065 34300\n28429 49981\n31977 57872\n52961 60689\n55837 84947\n29491 29687\n62802 82673\n5862 13712\n52494 54760\n42667 46529\n47123 65209\n43980 46068\n73139 82324\n53503 54915\n31848 85709\n47445 78408\n28789 50997\n22865 28172\n43196 57562\n4869 78036\n25380 61035\n3786 39351\n1972 75751\n39267 46335\n781 46934\n765 74879\n32642 60117\n32005 47382\n1887 29673\n28360 48220\n7663 79254\n71834 82908\n39631 49291\n41034 43718\n59576 69880\n47482 61597\n45200 71425\n76794 85186\n41578 70554\n34716 73264\n24411 67555\n36454 82325\n10202 46726\n26525 81405\n9826 29446\n53378 60640\n2150 79953\n58586 59820\n6214 54206\n11231 77997\n67484 82278\n62065 79801\n13528 15526\n11302 81827\n28291 81646\n32602 39875\n16816 25939\n14420 81274\n14181 36106\n48164 59454\n12885 71529\n58717 67146\n23703 31324\n27789 38264\n49105 61050\n5606 13451\n15383 53553\n9334 65363\n44586 77183\n71514 81602\n10005 36083\n30486 40115\n14633 33343\n29636 79355\n14853 83681\n27529 47396\n10442 41354\n12530 72041\n58584 74353\n65438 74236\n2281 45365\n41693 83135\n49155 69881\n35799 65524\n13770 17324\n50259 62115\n21776 31372\n6044 15858\n3274 18410\n5991 26335\n39572 85471\n10140 34584\n12139 45421\n2081 57505\n4595 12321\n4858 21410\n60951 78468\n44186 73441\n12624 74214\n38997 65976\n26070 80618\n43001 76660\n23828 75755\n11735 78956\n34262 68932\n39393 78353\n2385 82814\n24558 24844\n6243 29253\n17703 81816\n9835 51501\n55067 77659\n735 41304\n11961 38276\n14003 37681\n8804 34502\n28881 58719\n8300 58589\n4560 73940\n680 50927\n41452 41463\n4924 7995\n34574 63895\n6670 67373\n10559 76888\n6167 83626\n8323 77113\n39747 63923\n22237 68569\n20282 38700\n15059 68499\n30904 68736\n23884 77923\n6947 71681\n19870 71299\n56042 76827\n909 58816\n23996 41662\n16496 75075\n415 3093\n64475 84702\n54209 70500\n20050 50048\n68762 77688\n17160 69712\n43098 51342\n40683 42353\n18194 82491\n888 28046\n13231 67544\n23036 43924\n37196 51169\n21240 70184\n70372 70843\n32170 78117\n68340 77006\n8410 47953\n75537 76435\n4248 57447\n18685 61393\n9973 10450\n59659 67694\n19320 81861\n33323 84381\n12941 60112\n16368 56126\n41205 51853\n17976 59465\n5828 70134\n23558 65387\n44097 83347\n35409 73578\n7124 31778\n28218 76420\n57042 57810\n10128 82768\n9641 30261\n26961 41821\n7782 65636\n1497 74329\n24254 31267\n29985 55387\n40402 71488\n4456 51074\n54136 78485\n29401 67616\n4439 70333\n37158 62054\n25852 61075\n20320 82315\n1774 79032\n45966 76673\n33463 60968\n12886 20333\n23381 38024\n66897 69153\n31123 34675\n23344 56570\n56601 71249\n17012 60026\n57601 59383\n11473 49586\n16755 59353\n9180 29142\n22988 53344\n64747 74087\n36589 40212\n23780 71975\n43168 46791\n28703 63647\n42045 63113\n73882 83103\n20463 29844\n65276 82339\n54517 56394\n42609 69962\n18472 78175\n9442 22189\n16838 45990\n7438 59856\n3733 36331\n26337 78720\n16000 48097\n47525 50464\n5684 60877\n41135 47729\n3990 65610\n17681 18054\n11560 30135\n401 37641\n1525 4999\n22357 77513\n30927 65274\n45040 49446\n9005 67170\n21233 55129\n54473 82131\n54532 55484\n40706 84672\n22540 37751\n40418 53347\n9729 65474\n13236 53747\n46155 61162\n29994 52693\n40183 61859\n3583 31115\n7783 59723\n22383 61507\n42169 45892\n4804 35947\n5754 8994\n21545 46997\n57614 72766\n27680 60372\n33043 34134\n28688 39031\n13046 17533\n2952 18578\n18376 61642\n21553 35786\n21888 38585\n8205 46942\n22166 26530\n72641 78652\n46958 78697\n6717 55059\n29174 40226\n1934 51420\n10753 33699\n31811 60630\n9580 65318\n25235 69518\n3954 5617\n14953 75281\n33543 71593\n43675 53812\n7702 54698\n38388 54658\n45493 69844\n36782 69934\n34368 70048\n19668 27885\n28777 66305\n9327 42812\n6907 62658\n28181 46235\n46280 64716\n33699 57308\n2882 83568\n43941 48132\n45232 69554\n26280 44573\n491 22973\n2926 71023\n1724 58252\n42068 63880\n36856 65168\n19792 44327\n12475 15008\n4029 60858\n17545 79712\n31237 53771\n8305 75880\n41143 46870\n10284 13966\n4619 7447\n4357 11082\n27715 74250\n20734 26505\n47648 54694\n20676 78090\n4639 24057\n30344 48905\n25763 69268\n57108 71253\n4973 59345\n14698 54170\n18693 42018\n27818 58812\n44354 79782\n5425 38405\n21973 22385\n20137 53781\n31180 57512\n58116 62566\n9582 72251\n25061 36174\n62485 78405\n26227 29877\n14360 74726\n2387 34480\n22307 71070\n22601 58059\n35324 80268\n17023 41304\n31127 82144\n57627 71508\n15575 73960\n46495 65876\n29081 54250\n8410 65863\n3864 37359\n18070 82137\n37787 71952\n9496 25144\n35882 74841\n12581 73004\n33287 51760\n42016 76998\n9113 36615\n63675 78888\n62164 68371\n16489 53289\n2135 54769\n10587 18018\n67009 83989\n45055 56999\n41836 69712\n16519 83392\n74513 84636\n47908 48472\n27318 47726\n14108 68419\n40024 77883\n41968 46047\n17066 43067\n20447 33009\n25407 31241\n1267 72025\n62414 83880\n5155 44638\n4607 71457\n63400 84405\n165 38256\n2436 51624\n82755 83550\n50822 83818\n2561 32145\n1041 65616\n18736 59228\n4097 18029\n3462 37092\n26206 33556\n38624 54712\n47209 56038\n42779 82217\n51590 74222\n11159 73787\n81420 81615\n1633 44002\n17139 37020\n9408 78545\n6228 76356\n4068 81544\n8198 43509\n3357 4676\n32035 51638\n50189 57993\n7300 75110\n50548 77636\n256 75469\n4082 17740\n19917 39738\n14502 85934\n6006 56342\n29208 52883\n7061 39864\n19315 52209\n55730 62316\n54318 63531\n52203 52873\n12361 78377\n74338 83704\n28678 46773\n18474 79794\n8477 69196\n48384 80226\n48142 56131\n15239 30502\n55350 78165\n49399 81776\n29943 74664\n32151 80636\n20284 65045\n26873 60132\n50509 82269\n44214 72964\n17187 62800\n37505 61231\n53571 85227\n47007 56427\n40518 80093\n17768 42604\n34300 46058\n38331 69539\n48731 64526\n51299 62523\n54957 72090\n34453 72733\n27544 75126\n41449 71842\n449 31490\n46172 60979\n32428 70551\n5381 37188\n35392 41458\n27764 29177\n10284 54393\n47689 77901\n13217 45763\n43710 80694\n9014 76734\n9436 40290\n29898 63339\n3292 79468\n7710 75433\n19812 50552\n45311 48859\n10907 72110\n2624 82753\n1900 79192\n30578 37183\n60513 72983\n22470 83633\n33964 41520\n79084 82753\n4765 65287\n4672 27884\n29254 73607\n17130 79575\n6063 18100\n2333 42308\n34758 38130\n64555 65794\n9297 49183\n50007 60827\n52191 60959\n34773 64275\n37396 63731\n74791 75126\n356 55005\n32456 64149\n35183 36081\n59990 68042\n4179 30607\n23678 60379\n38587 72941\n50063 80504\n3188 7429\n50576 53491\n14290 39762\n47101 61586\n1997 4151\n42708 56754\n12198 20985\n67348 80652\n49517 62650\n6765 27641\n41393 52934\n44939 83622\n1941 5192\n3803 85244\n57551 67559\n4452 62708\n16316 23239\n20084 82940\n36668 61362\n20280 43559\n11441 22603\n12677 15752\n4643 16336\n50974 84872\n27111 83503\n15193 38921\n64698 85646\n28018 39998\n21419 62524\n52271 79235\n17393 37090\n20543 81955\n21791 65802\n15283 58757\n7631 7670\n17252 72020\n6650 44023\n23772 85451\n25908 57436\n31084 61305\n25624 74513\n14284 51434\n40075 67739\n12857 54989\n25304 33799\n36508 65927\n45717 50488\n64625 84066\n9576 84569\n8816 56503\n24014 67446\n36531 36837\n36771 52546\n42884 44380\n23598 72249\n62512 84495\n11463 20332\n39362 42090\n37958 40672\n11126 37896\n3914 22116\n45299 48222\n27926 77476\n4520 17776\n46865 85021\n10718 62512\n9492 79511\n52827 80610\n47929 77399\n15050 24584\n70702 77623\n4361 70744\n20051 32978\n6608 40349\n16517 82525\n64070 81532\n30550 48166\n49800 71436\n14584 65910\n19757 70977\n16190 17091\n36425 72620\n64580 76932\n52143 72641\n42646 55342\n33675 79353\n55507 60261\n9620 80955\n5784 46488\n13735 69322\n7188 81340\n4917 9492\n36590 77461\n36376 63483\n37423 49022\n44866 83828\n42313 67379\n4092 44468\n21216 55775\n23153 44699\n41651 60565\n49710 75624\n50582 70129\n6072 17796\n5176 54204\n50132 70708\n61995 74690\n24434 50580\n34760 78322\n34956 52726\n28938 52245\n37303 83959\n76943 85829\n46151 52827\n17329 33965\n5023 31923\n48736 79599\n9079 44602\n27897 38982\n3798 53439\n36347 48023\n46226 76335\n217 14814\n43740 65679\n6124 15984\n40294 52919\n45254 83340\n39126 82485\n38500 39139\n12813 30476\n38603 78451\n14209 16773\n18245 84301\n10313 27134\n3617 32326\n23424 51814\n3076 78025\n44018 51209\n5118 64899\n44591 81965\n46887 79285\n6175 33360\n15654 47583\n25250 68772\n14701 63245\n29332 48666\n12823 16970\n54511 78294\n6189 29978\n12313 12719\n43967 75982\n32653 38199\n673 67441\n66230 73650\n2637 68090\n21553 33976\n6971 44467\n72086 74219\n50319 66965\n14343 79733\n33718 55831\n68687 73103\n23040 27479\n25667 59885\n34163 53549\n39136 50316\n68094 68546\n11109 13911\n61493 84244\n29050 43457\n1572 19822\n430 37627\n12036 71917\n30407 75063\n55933 61130\n4582 40505\n4586 40445\n39149 67325\n4976 66144\n11419 79099\n65296 83033\n23512 55911\n16813 71517\n61441 82936\n31108 36342\n32166 71735\n19438 83146\n25186 80927\n26790 69618\n22090 34948\n42144 64783\n6708 46988\n52678 55926\n48147 64471\n63005 81171\n45621 81752\n18858 62631\n36956 79084\n7250 52029\n10267 55175\n30522 64474\n6029 41494\n23915 63816\n53241 55387\n15113 55668\n41024 52844\n41537 56871\n20368 44869\n73455 83184\n22118 63733\n67524 78633\n21668 37858\n29059 60881\n66814 68404\n3836 8102\n487 15738\n58322 62628\n44291 64586\n5549 38015\n10940 75012\n26660 83615\n68439 82224\n16354 77174\n31953 66414\n8388 31305\n26302 80456\n8953 11844\n25397 79420\n16720 34351\n18018 73174\n42672 66614\n71334 73627\n5184 66232\n17469 32337\n37092 83600\n27968 58275\n14588 27432\n11928 54163\n5673 7861\n56035 84736\n2786 36152\n10789 26709\n56369 58839\n44520 83895\n60297 77548\n34872 37021\n23653 79341\n5874 54864\n52459 60754\n9807 17444\n29257 45668\n22617 52248\n4251 44536\n2556 14452\n8501 82481\n2937 26909\n39225 51712\n29659 76072\n13754 40044\n39839 75980\n1353 44950\n19206 35467\n33459 44815\n37185 42637\n11831 68324\n5880 19006\n24573 66090\n40893 59359\n23580 41339\n62263 68880\n507 20969\n16740 63746\n40633 41634\n28414 75091\n46588 57321\n4647 80830\n12342 71667\n49011 83437\n28828 78002\n44828 56040\n14958 27261\n43689 76057\n1629 45603\n11827 83856\n10600 48695\n21104 35163\n16562 30413\n1485 30569\n14512 74932\n8065 47307\n17712 82580\n42602 82949\n3046 35291\n3553 16783\n27592 64133\n2321 15105\n28254 48700\n14803 39397\n38868 52745\n10883 23871\n17741 38098\n14802 69876\n34150 78865\n4320 43250\n26578 72001\n42970 58469\n57253 83055\n24581 51887\n71059 75176\n20926 23786\n17165 62061\n2572 25208\n10056 21282\n56799 76668\n45446 60602\n33336 78970\n50217 82205\n43912 60900\n16958 19594\n1931 26274\n36818 58367\n35536 85786\n12184 28801\n29410 33503\n44642 55629\n28597 49825\n1001 65218\n19055 79015\n40773 65671\n1573 28118\n43008 61885\n1324 43689\n43246 62921\n18616 45545\n35164 63493\n4629 79634\n8399 44834\n34879 44379\n34391 50580\n44949 76800\n17097 76958\n39358 59015\n20046 31429\n404 67272\n11420 41878\n1145 61126\n65611 69836\n72508 74355\n49237 79609\n54037 76763\n9533 76407\n44046 61699\n50413 64245\n36044 72134\n68335 74665\n22384 83063\n34609 66413\n50482 72374\n25439 41861\n4031 66829\n28881 68150\n65792 67409\n15382 30763\n33844 49083\n5930 39332\n57660 65376\n24417 54962\n19893 69653\n47834 72847\n5354 17495\n47000 51727\n47794 53288\n163 56924\n47569 55565\n34742 53764\n29195 35145\n5174 31420\n11885 29814\n29141 84405\n27203 79878\n55478 65859\n49380 76387\n20385 27765\n24212 72528\n35603 55698\n13290 67991\n6421 45166\n11096 78070\n12948 84725\n20655 43449\n48816 54825\n14899 25682\n11301 52142\n27421 46953\n14203 20383\n17153 62482\n9892 59804\n2876 69906\n10136 43450\n22925 43651\n11039 78764\n24770 68021\n29269 32655\n21335 39264\n2008 40144\n36007 53884\n37677 58657\n73929 82864\n67460 67555\n10995 54454\n12080 38451\n37323 85173\n53084 80680\n18718 55858\n3145 61318\n46300 84848\n39382 72055\n47218 62915\n3748 19458\n9275 15316\n25259 27593\n41696 63079\n74465 75587\n450 6351\n46380 65529\n30476 83419\n17131 59123\n26665 50083\n826 77562\n8075 59087\n59231 77372\n19221 71696\n17382 71059\n38939 63853\n29952 62902\n5552 66941\n25698 85117\n13392 58026\n20172 69108\n13086 59100\n65133 70228\n44798 65627\n1089 21236\n49496 69518\n55018 71961\n16906 80539\n19087 64879\n2246 22945\n41662 73372\n45421 64036\n37488 83328\n23987 38164\n1031 17947\n33968 78681\n28528 84997\n7684 59376\n66510 67989\n8879 40768\n15832 29413\n23535 46363\n54298 78403\n17216 67741\n8027 31467\n51572 52597\n29717 36909\n2441 83367\n50112 80045\n32577 67983\n55528 77944\n10152 27298\n20127 85389\n2983 19433\n27412 82211\n20247 51319\n9124 72761\n9645 21153\n23295 40524\n895 64185\n54789 63794\n78570 81762\n5131 44269\n18986 25637\n50829 65624\n1855 4146\n10375 86002\n13103 16371\n23656 66462\n17938 40290\n24531 42538\n53163 75190\n21537 77039\n22605 79621\n59688 84635\n34090 34614\n34957 69663\n68375 78932\n4700 6584\n19635 79161\n10615 46726\n18190 70989\n27050 39013\n58586 80550\n27722 46895\n21819 69186\n14224 17454\n57404 75154\n5679 45356\n53452 67261\n49184 49888\n12235 27687\n50587 71895\n26042 35195\n30370 51442\n21065 43745\n49061 68972\n15506 81027\n8070 14015\n63684 67715\n36026 78484\n1010 64474\n4255 27432\n41649 44598\n14592 74107\n45797 75858\n12125 71895\n4415 57005\n48904 73873\n47570 62372\n47783 82474\n35729 77127\n53548 80687\n40587 58083\n28105 73427\n17591 20908\n32399 34703\n75804 85517\n44028 60239\n28884 53365\n30225 32779\n14757 69876\n43105 60488\n159 3393\n9251 28684\n11790 38981\n14288 85233\n14747 72111\n19371 74894\n61759 79552\n62089 82392\n23578 52514\n56648 61007\n7352 24330\n27535 58975\n6117 67587\n24252 35854\n25051 79641\n43169 48764\n40509 81671\n52639 70340\n41740 48792\n36213 76158\n3008 11218\n17015 52304\n37679 42488\n60963 78681\n18014 55982\n8843 14937\n18414 69752\n56579 75266\n58861 63870\n53558 53650\n38813 54613\n31357 71402\n26065 58555\n16275 63704\n41138 81706\n121 42078\n21018 47273\n64652 85930\n55628 76489\n67590 68047\n16824 20014\n26145 46899\n866 8137\n6727 63027\n1257 81486\n68296 73463\n33937 55692\n50007 67215\n3201 35421\n27312 52186\n1640 41215\n5036 37764\n4551 4858\n5026 48422\n5351 42516\n7485 66227\n25272 34902\n36204 61442\n30313 43905\n14241 85497\n47675 55404\n13279 55769\n9029 65694\n36477 49308\n8451 80913\n34859 56811\n44863 68902\n52183 65807\n37177 78133\n3483 72175\n7039 36361\n13100 78877\n28134 62170\n47285 56417\n15596 69465\n2735 39932\n31898 40226\n68406 79727\n15851 73139\n26927 72744\n8482 65751\n321 78600\n31945 51650\n43815 82263\n26966 51902\n3755 84204\n28726 38413\n5826 12328\n2490 16577\n1590 36443\n22420 40278\n28282 28626\n27679 31098\n17205 36896\n17580 69783\n48904 77366\n2732 29391\n2554 67040\n15750 18061\n7989 14071\n17724 34670\n38066 58746\n66573 85934\n66597 66945\n43205 85781\n18955 41825\n20962 35387\n64597 67612\n54424 71216\n25601 48853\n5222 40367\n7780 76941\n847 12232\n9624 22301\n2900 62903\n7905 21527\n21429 68503\n1182 32060\n17238 31646\n41270 42500\n33960 37090\n60868 70247\n44771 66408\n30717 75308\n9289 49805\n12972 79277\n13931 18303\n3894 64244\n82554 85725\n38592 82689\n31040 50983\n6654 69555\n299 11259\n10680 33725\n38583 74758\n15209 74383\n10557 41307\n4982 29809\n1402 16111\n25444 48696\n7501 45133\n31371 79934\n20963 78381\n7719 58032\n45804 47815\n6108 55735\n48656 81558\n44107 72174\n40330 67396\n65872 73692\n49802 72124\n36097 45658\n34005 41382\n35346 42600\n12250 43410\n82851 83712\n40815 50953\n6768 58713\n21913 85005\n26790 68830\n71245 75559\n3177 53473\n37790 42670\n15389 79158\n25175 79577\n8888 31850\n62950 72036\n5870 57489\n24874 76718\n34297 76151\n35866 61692\n1973 20012\n4123 5787\n19330 66939\n45076 79705\n30732 76122\n21932 60604\n19032 79931\n31205 53492\n19621 68653\n41172 67520\n16514 67536\n59852 78281\n17355 76858\n16387 85420\n1885 48950\n2949 63989\n38426 60352\n63789 75023\n18457 37374\n49658 75379\n11727 35165\n78773 85879\n1163 20771\n6660 23651\n11171 83105\n20576 47643\n18395 63972\n1041 12166\n20905 72424\n21036 57370\n20588 31061\n33976 73086\n494 17869\n29168 65407\n5987 11674\n22709 39618\n58635 65231\n35730 58562\n38613 47064\n9773 76231\n41379 65985\n15854 39337\n14915 67142\n41018 73721\n26229 70574\n4120 56019\n34909 77552\n4375 82779\n24507 70925\n43502 85203\n36394 67135\n19685 47305\n17659 48689\n44404 51772\n50221 70378\n15174 61179\n16411 56934\n71207 74033\n52452 67480\n58343 71728\n30982 43214\n40356 44095\n38614 44337\n15238 76688\n24218 55159\n1834 69589\n20077 79280\n38830 74608\n6042 41478\n62983 77824\n61868 65299\n23306 71247\n2493 56853\n65516 84498\n36990 73789\n60459 61339\n1358 37035\n69360 81604\n38144 39565\n6335 85941\n26493 74423\n2637 28817\n791 66549\n26328 64562\n60248 78212\n6195 60215\n48264 52127\n13799 50582\n1953 46625\n3871 36767\n7150 62223\n807 79131\n28771 42375\n50718 59242\n32905 38087\n40922 59641\n12281 41326\n37616 59525\n7557 51938\n2001 2875\n3925 61299\n10273 35496\n26335 46400\n21880 64475\n40188 67139\n9652 19233\n29821 40097\n24762 44006\n9781 28932\n47201 70877\n65839 72445\n39659 40743\n30993 72293\n6104 48950\n41443 72119\n38562 63839\n19377 21728\n11120 80633\n54201 64618\n59047 82240\n10246 70427\n9605 81052\n23116 54410\n33386 38032\n50499 65059\n12811 48732\n17229 17384\n8058 58505\n40323 83116\n18397 23202\n31200 85417\n1315 75122\n3005 38626\n3306 14207\n10269 76782\n48230 77126\n74624 77893\n39111 62237\n7282 9022\n15992 24845\n7173 82308\n1080 54150\n296 78922\n21188 47753\n45993 67188\n719 46491\n8067 21086\n54594 84125\n13403 69329\n9241 66980\n61602 64284\n14438 45546\n76212 78508\n14883 79473\n11231 39975\n23946 82012\n35908 78982\n23965 40855\n33432 84633\n39155 61135\n71833 81584\n59979 66178\n74744 77986\n44047 64062\n8052 19679\n7326 25139\n32068 61483\n21330 60048\n35570 52747\n21949 53985\n50018 82413\n41643 49108\n157 25090\n28458 85413\n30580 67317\n317 39425\n37645 63327\n14118 28257\n1440 55151\n7134 51590\n69775 78221\n28841 29784\n24167 41431\n16895 55328\n11424 71513\n25125 72047\n9835 30904\n43883 62141\n12618 18905\n50857 51957\n21321 59027\n39842 71794\n22050 34195\n42605 69020\n43616 45631\n39516 81281\n41421 61367\n12225 28558\n8596 82990\n4088 53293\n25229 75345\n41382 55667\n3650 35760\n66528 83214\n41535 83886\n39086 50313\n30035 67698\n23397 33481\n28000 83363\n70707 77910\n11026 22949\n55336 59866\n9296 63023\n5958 69148\n61176 66604\n18913 25030\n13720 58664\n25640 36705\n33204 60804\n19398 70334\n66436 68980\n26119 52665\n2612 66312\n32673 33177\n18982 53331\n26124 61942\n4595 83731\n50747 66942\n7765 15683\n26927 64216\n54060 73713\n19266 66625\n13783 54162\n7297 47591\n36195 65098\n55416 81907\n50801 73119\n34596 55277\n57821 79836\n25129 59759\n42930 54832\n6732 70496\n81804 84222\n23595 31390\n8663 9568\n9475 44113\n19934 38845\n52468 57115\n59004 85516\n21735 41745\n38567 52987\n8123 61776\n43691 75665\n63535 69412\n2945 26946\n4811 11128\n29020 82867\n1138 7476\n18343 81677\n32907 80841\n10722 58009\n62553 81710\n33035 75264\n57422 64233\n22241 71955\n63842 75813\n5342 33860\n13550 31262\n78509 80268\n27621 78963\n4220 78540\n71150 78592\n39978 78961\n21211 76804\n7683 26179\n12995 71967\n39258 52327\n12712 17499\n35246 75007\n67106 83969\n5535 74369\n31456 62226\n26794 66468\n24225 77504\n7961 53926\n66856 75365\n19802 27506\n42765 80599\n11901 46576\n55859 66656\n50605 84004\n56290 73536\n316 46052\n71190 84932\n34223 43517\n17623 64047\n23599 48418\n14964 58676\n11789 76891\n71912 84906\n35288 65576\n2773 18185\n40493 56779\n35938 42740\n75903 78626\n5973 65390\n33940 70376\n23539 28381\n69713 74187\n16542 47896\n6239 77366\n12103 80998\n1911 31512\n46128 83151\n47558 83781\n45955 55285\n21864 67805\n18069 60361\n38639 42786\n10428 72870\n27350 73917\n59244 74387\n5666 39936\n22987 54005\n37915 61298\n36636 54754\n14434 77830\n12366 12747\n17763 35403\n20699 69873\n20743 64286\n6009 63779\n66020 66513\n14834 81353\n24285 62403\n22234 36632\n25873 38334\n11493 82653\n22483 24824\n17376 17559\n47150 68818\n2339 63233\n24924 50292\n11759 45763\n6789 70208\n83589 84825\n47850 83804\n16867 59783\n18038 82947\n17440 45607\n59492 84331\n6254 36624\n4054 85410\n61626 63553\n2534 37987\n28351 34156\n33159 40605\n59561 62447\n31965 47770\n5320 9850\n10239 43987\n35403 36986\n12294 36856\n60744 84762\n5060 14631\n26546 85976\n7552 69777\n21090 64849\n26263 42964\n2159 75645\n16288 79943\n27491 70721\n26646 75015\n21354 21753\n29899 52604\n45310 75553\n18831 35837\n15044 29032\n28532 46396\n67196 74094\n26995 72529\n30214 56535\n68327 85004\n21276 83274\n23635 65633\n14614 15722\n46608 53479\n5052 54911\n24217 74678\n2698 25350\n35426 72447\n61951 71176\n21746 74049\n505 74834\n12509 15165\n37499 48318\n23831 49625\n19235 26927\n32222 61033\n46062 68184\n1039 59103\n26168 68786\n444 54933\n4348 64015\n5144 41370\n20443 43759\n13308 38031\n45871 75084\n1970 73234\n15081 40932\n9622 14557\n9143 63632\n41676 67722\n61869 72803\n49204 67137\n34257 62500\n28314 77103\n17375 40649\n3366 29971\n10708 65755\n28372 37990\n17775 83103\n1571 51196\n9772 33837\n32070 44302\n4353 69203\n965 50232\n24711 26688\n43400 59430\n28167 54793\n27617 42732\n22298 57777\n40586 56083\n51065 82548\n25278 54605\n30700 79245\n26276 58205\n35707 55273\n3879 5693\n14753 31429\n67729 79410\n25759 61911\n32793 80694\n44992 82533\n27934 36329\n21626 29533\n7313 62320\n39741 57768\n39593 57343\n25926 42964\n32926 50340\n7161 34812\n41259 66935\n6653 27549\n3468 50013\n25977 28544\n32395 49189\n41438 50734\n5185 82148\n1146 35218\n61211 62759\n17650 60078\n7050 17482\n13102 79942\n69587 71120\n62217 63094\n24252 35516\n55180 75457\n23 44264\n10106 28792\n49546 79738\n13831 80906\n21032 80164\n13003 75054\n20142 21540\n49371 62070\n2890 43925\n9472 28040\n35086 45989\n15453 25986\n71674 74689\n14772 27534\n3787 84676\n2863 39046\n13148 75063\n7076 72834\n27807 56496\n10380 37444\n42304 43155\n34395 42402\n37271 55445\n22079 71622\n49343 80703\n38836 84324\n30633 50531\n75862 81827\n76284 84152\n29557 35473\n42405 67525\n37979 57828\n58310 67803\n1461 17755\n3762 42665\n44196 77658\n35027 40253\n13137 60900\n20661 26257\n27270 58227\n280 76628\n29375 33585\n4932 46182\n22918 60352\n62038 82583\n9997 40127\n4448 74415\n21592 43686\n20704 77354\n19485 82076\n9616 61744\n4493 17340\n10409 53939\n40280 66557\n16997 65091\n46804 70339\n68048 82116\n60739 71627\n29220 80352\n44436 62428\n69752 85401\n28091 32342\n16960 72688\n60205 71073\n35587 59003\n40708 57256\n45351 52013\n20611 43609\n10278 55401\n35253 83194\n45759 75294\n338 63849\n6476 38297\n55023 81239\n10711 42621\n68399 80894\n32097 73085\n30221 83667\n29325 48069\n44049 72347\n22680 30408\n12279 18399\n14396 44096\n1756 70333\n6659 16281\n48329 84247\n12551 22019\n14839 53658\n23189 26582\n32055 49340\n7548 52130\n4317 24341\n35497 73050\n27101 60248\n25376 36874\n30031 70815\n1046 13628\n37644 53812\n8888 52540\n5071 43761\n61889 82235\n13392 82920\n54575 73281\n39133 52186\n12841 14344\n37267 53365\n60874 85753\n12470 73681\n28303 33957\n37662 49876\n78155 83426\n58738 84788\n1332 44941\n4313 70198\n10781 40328\n5218 75184\n21157 46584\n28045 52581\n57315 70697\n69734 83131\n19962 23708\n23325 71979\n6071 27670\n10705 59800\n30265 54449\n17318 75427\n45794 85363\n42786 56933\n29352 63843\n10460 15282\n15251 82684\n58198 77222\n31274 60562\n21903 48503\n47441 57219\n46337 53208\n11221 79705\n16723 17471\n38056 46274\n3925 14679\n11676 77355\n38801 57321\n34467 37735\n37613 39825\n58181 76163\n43606 82847\n57421 67973\n6196 69084\n72139 76040\n38414 39091\n29956 77757\n12797 80659\n39706 42884\n2292 61143\n30470 53021\n60742 83359\n20940 47384\n34478 62861\n16099 58705\n47140 58298\n19206 47434\n23530 66587\n38976 74744\n54239 80336\n37332 65059\n50726 66984\n20635 65282\n50299 57178\n4922 68121\n17771 35531\n26742 44748\n6346 61996\n15448 49169\n44880 74589\n27081 64922\n39439 54349\n31188 36704\n17591 76021\n17678 70892\n38077 55538\n12631 68825\n20511 57411\n36966 63938\n51211 80895\n42283 60564\n57282 81169\n19482 76273\n3886 19868\n12194 32352\n9649 12588\n64981 76468\n19451 44157\n52767 62069\n5620 26939\n71590 82156\n74472 77914\n34983 38303\n34531 51428\n68009 68514\n76383 78054\n9573 12140\n24324 73344\n51068 70134\n20171 52966\n5649 8591\n28204 84285\n31320 63848\n7922 64062\n44485 83062\n30479 59463\n30572 71936\n49974 78428\n21096 34209\n3539 29700\n40255 42730\n3266 81782\n2612 4070\n39747 85662\n22119 47072\n10320 48838\n41383 46988\n26365 30004\n42364 60263\n7419 68418\n2782 6418\n28695 37527\n53004 70650\n22068 54900\n26302 85290\n3420 9363\n65874 81436\n76191 82404\n46105 47096\n50528 82671\n37695 83908\n24393 53374\n25929 71881\n6120 23096\n44629 64635\n13000 70611\n1464 10031\n9218 20441\n3267 71483\n28276 72399\n49878 77169\n17607 49626\n54548 63235\n47970 49522\n46956 60763\n1633 40811\n12971 17083\n18816 47755\n13977 82197\n26400 50601\n8366 73016\n48005 56926\n15922 40374\n1263 62107\n17457 42670\n27867 53665\n60872 78859\n4029 25370\n10637 57030\n36999 57786\n9572 18726\n1791 19149\n38293 61420\n21375 84507\n45085 46054\n31312 32062\n9826 76676\n63294 76518\n681 10719\n8529 63762\n13841 69915\n14404 78589\n46869 61240\n50494 71986\n7566 27755\n653 12319\n13863 55184\n8343 51543\n3988 26518\n34665 54683\n22227 71802\n5637 31706\n22047 36310\n13126 69020\n27947 72795\n52709 57385\n11395 29279\n26091 51804\n7456 60641\n40915 77626\n19786 51838\n49166 63552\n28475 32914\n60803 62765\n65296 78995\n28463 80338\n29620 56293\n65374 73609\n3969 83965\n20800 70017\n5554 79145\n44208 70292\n36839 49993\n1676 65588\n49670 53724\n10631 62643\n56251 73930\n12289 46981\n10039 60400\n12766 50157\n23071 41928\n1217 23281\n62781 83778\n11638 79975\n13260 59262\n50199 53629\n35850 81127\n42246 48971\n46077 48952\n3254 19888\n60082 80158\n34669 81093\n12995 63210\n7960 40719\n76752 82571\n26259 69609\n13294 23266\n15405 43805\n44549 49529\n12476 15368\n57671 64595\n16720 67782\n43040 77481\n34705 75188\n7653 84161\n48509 76936\n7955 58397\n30993 71521\n24184 64037\n6597 79414\n13906 81310\n5183 67720\n36584 83414\n6029 71559\n12111 77498\n22531 68466\n65866 69333\n5158 7728\n10250 18332\n39685 57747\n31920 36800\n13848 68724\n7982 52609\n34040 62944\n21000 66235\n9903 22031\n76196 83187\n7851 53453\n5471 66732\n51893 74362\n61590 79348\n64616 84080\n59364 81859\n4104 63462\n1271 31496\n50880 69482\n46643 60483\n20623 43593\n27992 58706\n55666 57578\n37836 48360\n13287 60414\n35368 82131\n6813 61508\n48772 62744\n22485 69237\n19516 57316\n60589 71222\n21429 68911\n36588 80971\n44385 55837\n68809 70147\n27726 73228\n2172 23495\n48161 74931\n17375 33819\n5443 55131\n51832 61865\n14662 49649\n5579 42366\n3240 31774\n36936 82445\n50950 82550\n23622 59928\n24678 58367\n43292 75852\n38746 74427\n36897 77829\n6632 85329\n26027 57089\n2062 3107\n14091 76042\n24001 33896\n42269 48334\n25161 79787\n79045 80578\n36866 55194\n9299 69358\n2370 79567\n25308 30845\n49626 68005\n32852 61918\n47114 81078\n23772 49971\n47078 54981\n19254 56497\n12005 79889\n34565 56799\n9143 45454\n6469 13524\n25829 39820\n50163 78132\n41145 47988\n67045 80840\n35961 40126\n70424 76369\n23879 42551\n35351 57380\n8809 63647\n40345 45150\n32022 32628\n49459 68964\n71099 77519\n13019 34626\n3084 60846\n16702 35340\n4762 56071\n23467 23469\n30947 76377\n65552 72030\n19572 79694\n33605 46119\n43055 55524\n11676 14654\n20338 73197\n21966 64789\n7398 21270\n63379 66394\n11016 48585\n49596 73987\n28500 42900\n2063 40258\n68932 71114\n45579 58141\n4268 77328\n49721 79413\n36039 81729\n51543 69382\n24021 59349\n26425 55770\n17868 42841\n31410 38151\n33271 34456\n6242 55220\n18022 67732\n10359 19096\n31958 69043\n14389 18051\n26049 28329\n36148 66299\n11619 23759\n14464 50597\n65797 81054\n3565 65852\n7004 63585\n27977 79737\n40813 80638\n14351 44646\n34787 63313\n53097 74150\n12899 67957\n14552 45699\n35986 56026\n14764 30039\n13554 44042\n52425 78687\n30061 45111\n16850 21338\n63072 79412\n5438 55196\n34440 57991\n34157 66922\n45182 65050\n7153 11331\n6237 46730\n12031 47276\n32139 84530\n28153 78078\n70012 83572\n57564 75598\n12260 42753\n37001 49319\n5145 31064\n38637 44283\n37143 39156\n59299 67734\n35602 80002\n38569 55340\n82560 85770\n5759 12652\n31332 49305\n54325 63622\n58615 84743\n5794 58248\n25752 34754\n1673 69372\n41318 44527\n1565 12602\n2952 44745\n11138 67390\n62327 66764\n23066 38545\n66441 78752\n37639 65853\n39699 67206\n45912 47398\n23405 66125\n4787 24327\n19640 42392\n33238 64314\n12739 66541\n38377 45556\n43139 71094\n23977 40619\n32930 77669\n18351 44231\n29179 56089\n37309 76693\n41821 50481\n24008 24829\n11754 72880\n23770 66604\n41905 77276\n60039 75990\n47787 59015\n1786 51175\n56176 80484\n25178 72479\n14441 35242\n36264 40496\n31052 72735\n80887 84288\n47426 66079\n62784 77014\n41867 80246\n996 40785\n60228 65543\n1260 50524\n32122 45863\n5195 34556\n15309 64218\n51867 56932\n39097 68320\n23309 48446\n33218 53968\n30921 37756\n4473 36977\n30387 35224\n4303 80103\n23835 84090\n66351 78383\n17625 19847\n25336 66906\n74256 84924\n59878 72916\n11330 70857\n3318 75821\n12087 70134\n25633 65425\n4120 76162\n2664 26772\n3064 40095\n3472 54131\n8745 31452\n44114 49833\n28075 65856\n12549 21171\n16825 30352\n26103 40605\n25052 33746\n8555 67010\n30589 82999\n3273 38286\n20442 53957\n25269 37707\n46143 85176\n26554 77827\n8325 50400\n10382 64395\n2678 63603\n65236 73460\n17035 49540\n11938 32259\n7242 36092\n1151 66738\n44828 61561\n57931 70082\n7506 47208\n25064 42468\n878 77197\n53421 62076\n6233 13583\n1510 75427\n2605 64786\n4291 15996\n10509 58338\n14146 43763\n17577 85147\n34276 71783\n74060 83232\n37012 71843\n81929 83819\n52291 84011\n20276 47831\n15884 68530\n245 40106\n50650 52123\n57068 63616\n23071 37884\n65118 77703\n68286 73511\n12130 69188\n461 20553\n76171 83224\n1567 45755\n67739 78113\n3588 52057\n16306 44662\n853 53678\n6595 25498\n38770 44721\n3554 62958\n65463 68963\n39399 71266\n18262 20661\n18626 68293\n68507 78821\n9390 58579\n2682 51718\n39603 77799\n12428 37379\n42902 57975\n12360 43051\n28047 79078\n28368 74586\n32342 69636\n62762 83897\n52147 76530\n17322 40703\n63481 64944\n43143 84280\n13682 28871\n58136 70615\n39840 69288\n28514 56700\n3953 81848\n33851 44295\n3609 79323\n57472 66401\n47067 77182\n46038 70185\n33944 65798\n18199 44231\n51699 61031\n5434 67608\n29774 71381\n73755 76591\n46009 85714\n22153 33841\n6630 70302\n37522 46529\n42624 66306\n450 34472\n53669 71123\n35691 42481\n30629 53667\n14824 64870\n3667 49823\n4037 24018\n50246 72503\n859 72955\n33660 78531\n64760 83653\n67057 67542\n4877 55086\n10419 60699\n48376 58153\n935 80755\n27415 50787\n23811 70335\n4389 36279\n64210 84388\n6240 56091\n35856 72336\n9846 75812\n16035 33606\n53516 59236\n709 78619\n14742 50625\n11405 24649\n3031 64593\n16288 24898\n48546 53797\n38335 67835\n23964 73013\n12472 82302\n40250 52267\n41885 72976\n18141 70440\n1526 47836\n23892 85008\n17229 79850\n941 68456\n38632 40673\n11598 59541\n3360 21698\n31783 41865\n2002 52110\n3495 15681\n45671 71961\n73247 74008\n22039 58664\n23756 62685\n1249 52555\n16257 42480\n4523 15883\n44917 64125\n4844 10571\n15221 62572\n28425 43714\n53506 70803\n36284 67866\n35645 57302\n3256 21558\n4955 85466\n77748 81496\n62435 85871\n17250 28576\n30159 80217\n1302 65817\n27209 29292\n1343 27209\n26336 32270\n25072 57307\n716 56813\n44812 57360\n37411 47688\n54480 60961\n24904 75670\n28302 61800\n5430 39168\n75091 76353\n14843 51916\n16580 50795\n6120 50309\n65807 67116\n38420 84347\n22988 62668\n4309 24379\n18270 76835\n51090 72102\n2621 71777\n36085 65417\n31920 54851\n2580 3399\n4948 38576\n12110 22806\n12991 25545\n54658 79487\n25395 68372\n1855 48822\n24099 59208\n41458 83743\n35572 78215\n27791 65536\n62396 65530\n3702 14351\n31575 46158\n48999 75131\n29024 44850\n14117 67025\n48139 68965\n40061 71916\n44857 65014\n20311 51538\n2862 3698\n22929 50977\n893 58481\n9827 33092\n23169 25336\n2530 82304\n47055 73433\n36214 49274\n31878 56928\n12494 48731\n8853 14828\n44359 80699\n20763 50378\n20278 58700\n44307 77512\n22743 66372\n10671 24111\n36074 49658\n43381 46348\n60590 72855\n55775 80876\n21023 78700\n23710 47114\n46464 78554\n48689 72344\n50996 85852\n36993 46642\n34938 81908\n10161 53888\n3532 78823\n4621 11450\n11300 54030\n14019 47499\n9039 60232\n28440 68533\n17711 65196\n25225 65191\n26029 39863\n26888 38718\n19699 42983\n32642 84695\n11154 69762\n29988 49779\n14067 83314\n26173 44030\n63171 65560\n6864 6989\n49780 77366\n37959 75215\n61033 75278\n19566 63584\n65878 83877\n22883 31581\n62635 80548\n1064 60431\n44175 76535\n51998 79893\n46315 84475\n25423 74205\n46895 67905\n51284 63268\n69017 70140\n19079 35924\n26908 83809\n50574 59928\n38030 52093\n64184 82073\n65408 80261\n20711 79612\n30772 71422\n9621 71717\n18313 56125\n29782 59794\n26242 76888\n32222 82508\n37389 64150\n31495 62431\n24489 60125\n35008 66934\n64512 74312\n62715 82091\n79638 79652\n10669 13853\n7946 44175\n74223 82595\n22888 41725\n21063 37686\n24612 38496\n43549 55278\n6741 13798\n64664 65443\n4581 84647\n2011 25286\n9962 77420\n24014 84216\n5300 55162\n2745 18907\n37578 70678\n34342 52519\n27198 76560\n18875 35470\n47551 82284\n11560 27384\n54935 72380\n58433 75706\n48778 72628\n16695 65087\n11595 25843\n13751 71616\n73139 78548\n22639 43152\n27327 47517\n11172 25337\n15662 51412\n41882 62858\n42290 77115\n16527 84609\n593 12797\n60347 84991\n23029 64508\n67403 73747\n62718 78288\n74690 85479\n50894 79712\n23906 54794\n19239 66915\n17649 51778\n4879 66115\n34031 37526\n53696 59157\n35248 77739\n10085 42815\n23498 66391\n4400 13881\n33370 47327\n40984 64320\n28529 72317\n18154 60584\n34846 71072\n4451 84620\n77649 78889\n7650 28597\n31324 49394\n19095 83804\n23172 71927\n35196 71636\n6312 33243\n2186 82540\n10966 35951\n21388 26168\n63379 79617\n63637 66398\n3542 83438\n15430 45724\n46008 80710\n36428 84772\n46936 55369\n15127 56329\n77693 82700\n45444 56996\n29623 54192\n55135 57656\n45445 66497\n40743 69387\n39193 60536\n34861 50136\n21143 59352\n33227 48820\n62149 63218\n13137 22655\n25403 65498\n29138 52680\n20799 70089\n13868 48911\n31398 33673\n78696 79791\n4496 5331\n42913 82672\n8575 74465\n11676 26450\n2563 32809\n4734 29557\n39757 61393\n20630 78917\n49654 81933\n16771 61970\n2928 14508\n71480 75925\n45163 52789\n63913 75532\n3188 7720\n2054 6842\n77041 79790\n12632 24282\n69658 76789\n813 42464\n17248 23011\n15145 84358\n59568 77186\n53293 75819\n15667 51671\n25517 71280\n21981 48937\n24778 30683\n72841 83822\n74758 85284\n26798 30686\n15857 44911\n2237 51797\n3503 54224\n65090 79107\n54565 64547\n37221 81068\n24479 64815\n32153 73259\n15176 60296\n43880 72622\n66341 84553\n26212 62485\n48508 81213\n7791 22073\n51608 62282\n209 17106\n21573 33792\n43616 55344\n66372 76076\n40564 79527\n10806 17946\n67884 74114\n10466 62056\n36841 72446\n16900 84479\n5166 52374\n44539 79363\n34809 39109\n29745 74820\n40991 71183\n14632 44210\n51278 63426\n17750 46366\n11319 66897\n71805 76481\n32779 58124\n72056 73832\n6739 55211\n17857 36675\n30474 69408\n35486 70309\n62179 68735\n6180 35802\n30890 78309\n51899 75525\n13632 17117\n51144 83553\n47302 76329\n35639 68367\n31741 49125\n33319 37955\n5638 74685\n34472 59877\n63625 65089\n9606 77420\n33738 72219\n51743 74573\n19023 67695\n11203 47176\n27773 29211\n47347 79778\n9896 30990\n44977 72595\n29560 44789\n18525 34963\n15060 45123\n1015 57446\n53906 57614\n34240 48201\n27674 36845\n14209 45881\n14109 59784\n41434 69376\n52690 86005\n2447 85562\n28717 74628\n136 46780\n4157 7637\n6877 75463\n73980 78430\n67500 73908\n43409 66792\n3353 60992\n51853 60960\n1867 53145\n63558 85358\n27285 46568\n11134 47498\n40151 53388\n57657 80438\n30229 36039\n41597 75147\n31769 69948\n2103 5099\n35122 41751\n15460 17509\n46068 54261\n3399 34210\n37145 81371\n10412 26122\n5820 83714\n60133 67987\n9442 61366\n1268 52977\n12126 35719\n10390 70372\n12594 19521\n20236 84967\n8574 23448\n36989 55977\n11519 14941\n21942 51375\n9196 28589\n46181 65177\n9796 79780\n5698 26735\n12627 14081\n1324 31930\n60247 85788\n29576 37859\n74115 82319\n5994 23597\n7469 62875\n67175 79014\n49907 76343\n42818 75470\n70498 74166\n14741 29867\n747 47985\n31646 35255\n66908 79401\n63263 66020\n17362 29107\n9543 45348\n49410 73765\n20257 32210\n33672 54030\n69139 71302\n3846 29933\n50656 58631\n50685 50855\n62466 75090\n60377 73584\n36761 40448\n21353 82550\n15189 20131\n19694 45117\n13187 77568\n9357 68605\n16918 41423\n31686 43829\n75226 75351\n43746 83601\n38224 72356\n31089 56690\n35623 52357\n29921 34178\n71801 80687\n54679 75474\n147 16154\n74481 76421\n1965 20399\n13075 65438\n1019 54993\n28888 66396\n13545 65864\n42333 72585\n2286 74473\n18664 31833\n2932 4273\n24149 52186\n18873 64254\n57246 60232\n42030 55044\n24995 69472\n14942 69394\n38282 70607\n21734 50981\n61629 75056\n20264 28000\n15576 23236\n16632 85942\n37265 63073\n78850 80569\n22869 66474\n67329 82022\n29529 73963\n82107 82530\n24879 51680\n31557 79951\n7112 36265\n60453 78740\n18131 44410\n15962 62286\n26510 48136\n16497 40622\n40868 82968\n28536 74976\n884 69247\n44892 68230\n14175 53031\n59154 67142\n20762 66899\n11024 47778\n51038 76286\n369 63792\n51530 60502\n38207 59486\n18503 32311\n11230 54187\n22501 83950\n49267 64688\n38714 60597\n30889 68845\n5219 57583\n8743 38156\n55224 68427\n18137 39359\n38328 45369\n63233 63952\n50665 66193\n9571 21456\n16493 74994\n6130 10949\n9803 56523\n37573 56936\n36726 39278\n11796 15936\n17659 22423\n48497 53426\n34293 53288\n22700 58214\n4282 58177\n83414 84807\n50780 68017\n31955 41981\n6290 64199\n23785 33428\n47463 82868\n50305 79836\n7454 23130\n5101 18233\n17884 53494\n10551 29193\n35949 58611\n8321 53218\n23291 39025\n12394 69500\n6221 42704\n42034 64614\n55376 81432\n55318 74234\n34748 74231\n45928 61049\n20253 45544\n7785 11957\n28486 29059\n37828 52780\n21980 63644\n29025 61791\n55887 82279\n687 22062\n6171 46096\n12896 49686\n1068 41425\n19344 78517\n40912 78056\n10315 77250\n5229 65637\n30974 55123\n9339 77701\n12885 80404\n15364 63232\n2528 12808\n29341 34703\n11282 40632\n31159 85458\n25302 37147\n37170 44987\n31017 78513\n22720 54584\n35114 84638\n54844 84449\n58398 66882\n48678 49565\n29095 67876\n12609 77218\n56024 69881\n7189 23202\n48314 49186\n16269 38584\n26101 78465\n50450 79122\n35231 51471\n382 84660\n13287 51419\n1114 69080\n306 49511\n5079 10014\n57026 68165\n21985 63475\n8153 10208\n25996 69975\n25796 27520\n58576 81317\n55947 73348\n16387 28406\n53570 84759\n23160 54064\n64583 64974\n27625 77904\n5516 22505\n57749 83513\n15816 74872\n31960 81495\n15465 41306\n47840 77655\n44238 58794\n16994 31231\n34853 85581\n9416 50141\n22610 23366\n21739 27102\n16908 44208\n53161 55978\n3979 9719\n32349 70170\n30067 78175\n32494 68359\n28905 49006\n2277 9308\n8858 58154\n33663 49589\n20508 31211\n9409 22991\n35150 78208\n33878 45585\n3812 6138\n53948 55648\n45267 76242\n6081 70261\n57204 83736\n8685 66488\n3108 16584\n14753 35567\n38559 67887\n41972 72477\n51703 83746\n13568 59548\n2116 19258\n57577 83823\n21065 58294\n2065 66384\n56226 84600\n1859 13199\n16797 33408\n42303 45408\n41278 78834\n19722 48873\n3631 83711\n66830 78585\n13521 61080\n77118 80635\n57187 69085\n64721 69766\n8970 36978\n11827 45725\n6256 22651\n42141 70483\n7611 44358\n29111 46653\n23814 56624\n6673 82457\n2075 35244\n4889 22031\n15210 47960\n10516 80833\n6496 18267\n54258 80794\n18651 29080\n9977 37592\n36505 66049\n34567 45097\n24060 82151\n27433 55218\n41653 66550\n35055 40719\n8666 81390\n26165 39881\n54261 68738\n36979 67039\n30960 85362\n6013 10811\n57327 70116\n51559 75144\n17732 50519\n20662 78280\n65943 76098\n15137 81596\n29123 56150\n46191 72329\n67940 75597\n25455 46473\n23499 65035\n23365 71667\n9915 59546\n19568 68402\n24990 64213\n65692 72094\n83990 85308\n8848 76880\n35366 82467\n5826 53968\n13863 36482\n10201 59020\n14363 25116\n17264 68560\n21353 53616\n13812 36458\n19381 75296\n35411 81782\n74474 80720\n18759 70114\n54913 70542\n19567 33108\n4541 22253\n37203 48253\n16455 48634\n12983 67369\n6055 22310\n1874 26172\n26784 67004\n33869 56307\n25638 29693\n37895 55390\n2684 29384\n9672 18390\n69142 70281\n49471 62815\n24018 81945\n40910 72413\n31117 77560\n36141 74040\n41643 71116\n22540 43256\n12401 82716\n7606 73662\n18017 53620\n5465 39262\n41167 42181\n44660 55936\n42438 61528\n3705 16951\n42081 68480\n34800 35372\n42203 63549\n38206 39245\n58813 79665\n5606 45625\n78720 81911\n58388 84243\n61156 77248\n34823 78264\n17644 56454\n27073 35919\n39602 40280\n38175 80909\n8451 66271\n22445 49762\n13755 31860\n25473 59188\n11933 80714\n1718 10567\n6088 53757\n8115 47044\n1902 71861\n46934 74730\n5471 50542\n1379 85827\n2379 26134\n2307 36598\n35821 63958\n41037 79621\n16347 16872\n46733 61065\n14338 30563\n30428 64242\n29948 67411\n57929 84212\n21276 54343\n42937 46864\n16294 43151\n26652 59616\n65349 83058\n9659 12410\n15166 66859\n73527 74521\n6970 50377\n41314 63035\n35884 71994\n54153 74013\n33051 44608\n40487 57707\n14835 43909\n9131 42289\n25884 60086\n13047 20927\n13209 73156\n54347 81938\n7633 36177\n7252 77782\n4597 5228\n716 64383\n6029 24461\n52684 55913\n19749 75085\n35786 36594\n55361 65580\n16257 50574\n73311 75917\n74458 80374\n26826 60482\n27847 31107\n56001 80284\n37856 43749\n11290 44902\n22628 57403\n25931 82014\n10548 80423\n14235 26782\n43882 48516\n3787 65335\n2891 23174\n9056 56474\n47031 61710\n39595 50829\n1224 52797\n31968 35826\n56403 76424\n39459 69709\n5925 44522\n5315 45366\n2229 63704\n45829 80314\n14597 64854\n14687 66250\n72944 84166\n37560 79573\n22150 40262\n32486 47119\n72667 75049\n48841 71104\n22930 50346\n2388 19833\n67250 70846\n13847 16496\n28573 51679\n66993 72959\n11359 22158\n19290 76224\n43885 70810\n49975 55307\n26186 63351\n6100 63125\n63311 85127\n34218 74031\n6668 77776\n37782 66374\n3480 54460\n20065 59103\n40880 83402\n34715 63575\n56144 76084\n13548 19327\n17495 18101\n513 76133\n39019 66813\n2794 57455\n4174 45192\n31789 51041\n40454 79072\n21668 45579\n34728 58397\n70394 75770\n15266 58198\n61241 65824\n5367 14677\n60839 68736\n2623 26213\n49604 57562\n3858 31508\n39849 49753\n28185 43221\n45553 78177\n16704 80925\n18072 28511\n23061 28612\n4849 13091\n14162 48373\n25143 66781\n21675 45993\n32690 45857\n44866 77557\n17876 57140\n46944 62100\n7942 47241\n3243 70298\n80763 83306\n1142 77187\n60272 83447\n2754 19916\n73086 82102\n49784 63161\n18994 49102\n34037 67557\n16881 45629\n2382 40841\n48390 66226\n80050 80060\n9160 50601\n16435 30529\n15127 36906\n43850 76831\n21847 63064\n17575 63798\n61680 80330\n56190 70693\n26298 37442\n28689 78559\n81514 85596\n72968 76272\n13335 54875\n67743 82617\n12437 29524\n4852 73017\n20006 42828\n35502 57771\n51093 53391\n25877 46267\n14275 47067\n364 59213\n48348 70607\n71734 78972\n40168 81372\n21712 24962\n72567 81657\n18194 40000\n27957 77981\n12126 53588\n35446 65591\n29882 62135\n35668 49506\n13403 77735\n6654 56392\n1937 25616\n5498 23545\n34358 84140\n12026 60958\n19449 65483\n5138 24452\n23422 45996\n18340 72815\n60197 67668\n3310 42592\n34213 71978\n26071 69235\n4464 45326\n25664 77840\n56163 74323\n5220 23049\n100 54691\n62766 80544\n42538 80804\n39619 59145\n25341 62326\n34222 35095\n7160 66067\n37037 80690\n5355 18451\n19598 24079\n6974 13158\n21371 42231\n8750 27322\n2907 29979\n57708 85905\n6470 19094\n34770 39999\n6647 21295\n3237 11774\n12943 15073\n5930 41062\n14730 37285\n3309 60278\n10287 54710\n29106 55424\n20794 32917\n153 47977\n21625 36110\n15434 47381\n38281 48705\n41639 81928\n9035 35494\n32748 57988\n9520 53147\n30034 78321\n16457 79383\n38035 69390\n4162 72312\n49170 60668\n12957 65484\n28288 77540\n888 71138\n29509 40950\n9183 60710\n11643 42081\n37780 60932\n62664 78308\n67110 80257\n10240 53518\n25366 42644\n59034 64921\n45340 48409\n46439 62929\n73828 78411\n37219 43887\n15377 29986\n47089 53070\n15127 44764\n73028 74251\n72692 81972\n12658 13299\n30999 47889\n17031 46539\n11542 40708\n11739 76187\n1279 5468\n43697 56332\n66891 74229\n51656 83869\n27095 43839\n19068 53256\n16101 50075\n3075 72928\n3597 20131\n11888 25920\n38445 39050\n17210 50004\n20215 39021\n37593 66738\n35185 42215\n54919 63983\n27608 53600\n21003 22382\n37326 83795\n5121 56031\n864 13513\n25959 34794\n12032 58760\n7091 68920\n22736 79755\n15640 27441\n42653 51008\n59804 60509\n1400 37613\n1642 27539\n4907 19426\n25093 26386\n40529 45389\n10300 72595\n37840 55890\n53683 65439\n16077 66337\n42813 58045\n57701 69709\n20025 64816\n21513 65992\n29432 52335\n43854 74951\n9700 55222\n63149 71846\n44969 66576\n36397 46408\n6591 58808\n13823 85471\n43357 47335\n9504 76299\n11874 70517\n19656 44420\n9888 34177\n63032 71956\n66372 76727\n10466 52143\n44790 75216\n9223 35931\n58197 75442\n68468 69774\n58156 71909\n32590 48957\n41639 62501\n217 85148\n54923 70751\n11745 54438\n6921 81188\n45612 68218\n30339 54256\n44555 66566\n26493 67439\n3809 65961\n52763 68755\n11619 75302\n9450 74647\n37160 59826\n38925 51698\n5915 68031\n49735 50155\n76 76268\n46164 57650\n32304 55675\n51156 85524\n35800 85448\n22498 55600\n51319 55281\n41462 73691\n2514 85424\n6116 44450\n27444 43643\n21088 78509\n37943 68183\n10498 70639\n12041 69659\n11278 62024\n4364 19355\n13320 13872\n12171 65279\n26463 47947\n21741 48796\n28429 70920\n16025 32586\n18567 47691\n1347 64963\n17466 71810\n34857 64109\n57166 66521\n19383 59885\n23894 60180\n14969 32910\n8453 9922\n23427 69242\n4022 30526\n50708 61463\n18517 25222\n27091 55509\n68167 71163\n43265 46391\n3179 48238\n70439 84872\n17764 18259\n18072 25987\n23486 43452\n22414 84838\n34111 62117\n36361 40906\n31039 37891\n34059 41947\n11095 35184\n58028 65217\n73505 77897\n10070 50479\n16542 31010\n96 73118\n25581 53670\n33246 70512\n31562 43293\n24787 49619\n2080 26407\n16089 40335\n29664 67375\n10339 21405\n18032 71488\n75341 82098\n14076 26995\n6190 71137\n41299 51495\n52473 80081\n33340 41645\n17182 20955\n10834 13040\n23457 34898\n16407 17062\n49031 57377\n33987 68446\n18731 83420\n11585 82157\n29525 80888\n28485 82658\n2242 83434\n3181 65814\n40188 54028\n19612 53460\n21034 84694\n76357 77955\n28455 34047\n32507 85312\n22097 50492\n40206 43758\n31810 59159\n2868 22021\n68812 85372\n31543 34659\n72501 82117\n1635 82503\n9749 16811\n33446 64958\n10348 75241\n11016 36422\n4889 35937\n23110 84693\n68065 79141\n59227 84237\n31143 35233\n10862 39253\n4865 57465\n14493 67010\n26046 32131\n19793 45566\n47407 76355\n51542 72792\n74074 85217\n19765 43900\n35063 68819\n11636 55054\n35864 76692\n18554 74308\n2354 76396\n42896 55808\n30532 46439\n304 49415\n21768 60889\n31883 83604\n18207 73102\n18373 30938\n25919 78544\n22702 24508\n18285 29335\n46767 79295\n47996 76045\n25784 85381\n33758 53010\n10585 81610\n5051 62489\n2904 19013\n31365 70486\n17511 17834\n1600 63645\n38370 57578\n15293 25537\n30685 32922\n22118 35480\n24732 72703\n21975 65761\n11948 12488\n6627 9924\n12936 80743\n39640 47769\n28173 72378\n12703 82361\n31303 76789\n31889 56645\n7969 20268\n58379 82242\n14514 45009\n9060 38413\n17681 42213\n4400 32094\n55956 80955\n20380 85176\n33968 34543\n55774 75290\n74870 80959\n14878 48612\n10339 27687\n16752 58388\n11800 19554\n32692 65702\n8917 42151\n60792 78415\n14699 69114\n2874 57488\n20749 36187\n8988 31612\n16489 67610\n3108 16352\n51674 74631\n75889 76528\n30084 65996\n50147 81285\n12551 49939\n35489 43464\n30136 39683\n11340 68183\n44256 80688\n6636 65124\n36421 56063\n49232 81403\n12663 54925\n68367 82311\n35867 76412\n6705 76575\n12104 39127\n23772 45193\n5931 27457\n4862 81459\n17109 40473\n2006 25805\n60891 83083\n31354 46544\n8800 46914\n11534 22442\n3789 44517\n6769 55947\n36536 39575\n47245 75078\n25935 80259\n40749 54081\n61677 84076\n47410 54275\n10514 21241\n14713 24678\n46943 50227\n2557 12554\n7994 38503\n60593 74117\n20819 41280\n9032 34949\n26136 80174\n57701 77588\n25465 75627\n31820 36214\n32133 66293\n29513 63933\n318 6652\n31959 83263\n46286 77924\n20875 25338\n48731 65253\n17068 78452\n6212 34419\n48193 69407\n13381 52201\n28122 69689\n27379 67121\n51203 63598\n72550 77650\n49227 64914\n48087 81419\n33269 80976\n45945 49257\n6602 20433\n2274 17954\n17734 24148\n36048 52607\n14047 74709\n32736 72061\n10790 14281\n6832 43178\n4332 45923\n23709 64915\n47745 84229\n4937 50333\n21894 57572\n12100 68206\n65390 79743\n56265 76925\n49805 50281\n32546 42534\n12820 77845\n18028 39500\n40139 45137\n80802 83197\n17042 21624\n40881 42848\n17515 83993\n14216 56331\n5821 7574\n42929 54929\n29870 73745\n14979 53701\n31794 73558\n31405 49779\n4836 56743\n33680 77462\n45106 69755\n19593 54422\n10729 19891\n67540 76947\n4895 59615\n57293 74278\n40202 55004\n2258 27658\n53751 74489\n10388 52869\n2708 62168\n37016 70261\n41523 44502\n53235 57001\n61445 72140\n25815 74601\n9458 76415\n22290 37127\n40345 81321\n52385 68787\n17486 50956\n6827 34094\n11287 46872\n60699 82224\n30072 59621\n1433 82701\n42089 77282\n4145 64696\n51554 61014\n11996 63265\n22469 74872\n5870 60878\n16995 37428\n46850 53619\n7050 13868\n34435 63150\n19077 37033\n4797 29628\n21173 34572\n599 66439\n1330 9895\n63883 84580\n39317 77983\n16964 40441\n61736 76097\n1531 22562\n422 32206\n8813 19088\n30103 51819\n13567 27079\n62511 77233\n48050 66125\n42323 56361\n56962 75842\n25696 45387\n28225 72031\n11857 70820\n14921 36410\n12698 24438\n10445 68158\n55435 73761\n37737 49036\n10873 62501\n23370 42344\n17567 60590\n42211 64974\n1969 83495\n20695 49810\n19366 28528\n10299 27696\n29412 67166\n57301 60529\n27255 75936\n7505 23984\n62056 68766\n30487 44124\n27245 59957\n57637 69689\n19538 38726\n36092 80786\n40188 67445\n37290 74167\n31815 39762\n15799 67542\n10232 19078\n8931 35629\n56287 61244\n31282 70905\n6681 73148\n34119 62647\n12605 55966\n9848 66327\n47493 56101\n62367 66529\n43487 45556\n60302 60472\n48034 48301\n34710 37749\n41510 66118\n14314 67925\n27 15873\n40700 67018\n33822 79023\n44723 45951\n45017 58074\n3202 69939\n1791 24386\n26631 29327\n63562 84575\n79556 82085\n79819 80693\n37644 44211\n504 15427\n8298 51406\n59721 82768\n24672 42982\n10003 58453\n15665 44385\n35314 36088\n63315 82506\n50357 70293\n36922 77148\n40652 44827\n17081 46810\n50837 51631\n60335 63646\n75241 79355\n15624 49874\n12013 19961\n57015 85055\n11596 73947\n29008 57907\n5502 33260\n6034 17503\n69607 74930\n75090 84877\n32791 58932\n1847 72112\n56724 80806\n12079 78230\n44576 64246\n44590 77499\n12606 25080\n617 79715\n49214 82900\n25974 29753\n26398 43312\n18271 71038\n67368 69814\n17369 34106\n31564 43557\n45776 70662\n2630 48818\n38426 75020\n12306 79106\n36707 41557\n54217 73719\n28477 37093\n50924 63122\n17438 38164\n43383 56864\n6282 33450\n29623 56100\n14333 34417\n38729 58701\n57562 68497\n7078 21238\n3321 19613\n58099 84186\n13822 17942\n28323 57249\n36522 75811\n48063 72055\n41040 69757\n14002 33183\n48582 75903\n62465 65014\n26236 50410\n37654 82074\n21823 32092\n54671 59004\n28274 57991\n62010 71722\n17067 47385\n9750 35523\n6294 31338\n36986 83407\n17172 64535\n70015 84428\n41155 77154\n43523 85841\n20684 66477\n36949 40667\n47195 49137\n661 52365\n32575 33038\n76116 78703\n4801 80382\n5754 55482\n24610 71117\n20484 61894\n9229 38081\n8598 42606\n9945 59367\n21016 74774\n35311 84365\n13724 80770\n29663 53234\n3461 15897\n15780 81567\n41200 70903\n12302 52410\n20982 66010\n8447 67014\n44164 51593\n47811 77347\n53827 77593\n3481 35324\n61061 67996\n7306 15120\n29563 35777\n8405 72926\n6339 55781\n508 48025\n50253 82541\n22488 32963\n57337 82353\n13795 46154\n38710 51535\n9380 18274\n10658 45572\n21981 68079\n50636 71333\n30599 31623\n55669 72332\n24129 83286\n28129 76523\n27792 72957\n4432 14501\n38493 63074\n32529 56496\n3429 83842\n49856 61903\n73952 82697\n75935 77712\n4694 31557\n5585 28568\n55908 72143\n24683 80747\n1153 75820\n80393 85293\n15220 19644\n17924 53521\n71427 77624\n6072 14435\n15083 18104\n13286 32587\n64579 83154\n75190 80264\n5957 8708\n21963 65383\n16123 25641\n20371 32507\n8382 50311\n45099 73312\n23645 81812\n3893 74654\n20241 29150\n66025 69920\n11763 84951\n25049 55057\n22367 24978\n50946 80826\n81 15844\n145 73903\n2785 12076\n21844 36188\n15485 32351\n17922 25809\n33956 47468\n1023 43647\n9955 53932\n19578 37323\n14876 18490\n40065 51996\n31502 40148\n33802 47960\n12796 63270\n34375 54541\n13363 34933\n40736 48035\n8795 17463\n41149 41705\n25989 72902\n12604 16652\n40104 56647\n1420 36673\n9846 43177\n20917 57508\n1407 58669\n12681 42138\n1585 18666\n31916 83688\n53526 76887\n6959 8195\n18645 49238\n45888 79265\n33622 83605\n60980 63089\n36426 75994\n37991 40677\n23268 39696\n19221 72441\n37041 42691\n20692 39166\n13842 82048\n21348 69066\n21152 44461\n9943 73660\n54111 64705\n33240 42600\n35008 58172\n73527 75075\n54462 71193\n2678 33857\n26448 69099\n7095 84616\n64273 68678\n19312 74530\n14218 36132\n10088 85660\n28974 53981\n18852 58394\n29162 30553\n32556 42163\n44288 54720\n9784 44041\n14856 58831\n2067 19095\n1195 31239\n80520 84022\n25050 60212\n37346 83412\n53784 54140\n40105 45090\n10746 41976\n11823 53337\n55894 57615\n30145 54685\n22367 42535\n79192 82105\n25392 71874\n75807 82648\n66752 79682\n43008 53625\n43036 48016\n14920 36986\n38817 75813\n33111 82429\n28125 76688\n35579 38445\n31792 46254\n41750 63513\n12644 62789\n43618 55926\n18838 36078\n11952 40587\n5254 39888\n28706 50542\n47642 65253\n61093 76515\n44498 47272\n17830 27727\n40445 70822\n41234 57598\n6901 69656\n42894 69733\n59891 74494\n3341 52667\n38715 80253\n48827 66476\n40518 53601\n70972 74458\n43 2261\n53087 53507\n28677 36070\n46128 62203\n56064 59659\n63044 85383\n51161 74895\n45229 55317\n49869 58218\n2385 51718\n28158 28519\n18391 30485\n90 63649\n18291 28168\n5266 71662\n15428 60080\n11253 78934\n24206 62254\n19098 21240\n45911 59370\n14537 35394\n14963 71496\n49662 82179\n33412 34618\n43908 59773\n7751 25197\n18938 35357\n19179 71940\n22499 72907\n20303 61167\n21709 49101\n76213 83665\n15225 58007\n56612 68410\n73935 80613\n11140 66825\n2301 80733\n55281 76414\n9948 35459\n38143 55771\n27904 54051\n20822 47275\n34050 61785\n36686 60083\n61969 64493\n18155 53587\n21960 85919\n16101 71070\n45917 51974\n31230 37828\n20320 58114\n37256 75500\n19701 61822\n4154 12300\n16090 29292\n54954 62626\n18907 83308\n58086 81856\n52405 81237\n51290 58023\n7735 17303\n2578 26863\n20226 72680\n13349 46853\n7584 64243\n11994 60055\n28658 79862\n21132 71703\n11302 74627\n70098 78027\n17373 23282\n51716 72019\n57535 68607\n28321 77161\n75322 84077\n9159 81236\n47221 63469\n70751 83290\n268 37659\n133 52189\n16592 72023\n34552 35435\n51135 75768\n25571 83422\n22263 77452\n9782 54367\n50516 60665\n66931 73356\n24798 42716\n31981 78730\n33881 50072\n10118 83839\n34084 65552\n23587 29880\n32986 56236\n182 68334\n10004 52076\n69765 71533\n29994 57547\n22662 81820\n43317 64896\n44911 82450\n17740 62206\n19690 85401\n24812 76842\n2184 36686\n28306 47601\n70699 83202\n13799 84869\n30199 49857\n44034 69619\n65971 80496\n37856 68056\n41289 70836\n9351 30595\n26435 59282\n24257 81891\n34954 63836\n3743 39185\n23145 24988\n58 2255\n52982 82029\n4643 31570\n2420 13333\n69641 85633\n3614 85045\n1505 34386\n50582 75194\n32504 76804\n17669 36819\n6350 35650\n46487 62458\n35506 77273\n2537 21190\n21635 74319\n34232 83068\n68115 69114\n41938 51125\n8025 77903\n29957 76254\n16322 21987\n39176 68019\n779 26392\n30814 57744\n3842 61695\n32073 69762\n14542 64812\n235 29304\n43846 67560\n32703 60379\n7537 53951\n13021 34587\n2845 77750\n13409 57950\n61572 63917\n31540 35863\n18202 66460\n5952 25679\n51444 84724\n18354 76635\n16670 82943\n7665 48561\n10728 20829\n50844 57810\n19649 67199\n30418 48279\n14662 47066\n14339 44688\n17560 54256\n29966 30576\n3247 76343\n48729 51619\n13083 51926\n7622 31337\n24335 28275\n20508 30712\n12077 64188\n71442 71665\n37304 60838\n67741 85485\n37321 61461\n67459 72224\n56277 84389\n15472 34518\n19685 46447\n4031 66811\n22463 47902\n51026 61375\n68771 76357\n34564 38455\n66439 78962\n16424 21694\n29071 48493\n2408 12085\n5184 16419\n33241 70214\n37614 73579\n11053 28964\n26736 29717\n35808 76703\n19996 42580\n65742 85056\n10584 20305\n4804 62485\n68797 81242\n1939 83154\n9579 84931\n8202 39290\n44995 49793\n4724 21182\n29898 76469\n11658 83294\n14612 48031\n23251 71684\n30213 33060\n45780 53472\n16109 74621\n37697 39953\n1482 7408\n10621 38102\n28371 79407\n13884 16689\n16956 54867\n40159 74539\n18138 69823\n14760 42259\n16111 67355\n30007 86000\n11613 25056\n5347 77839\n36809 52897\n40676 78666\n32167 57478\n7137 55280\n63779 66972\n14542 60095\n67013 76972\n41307 44443\n54276 75154\n3911 45689\n36179 83998\n54776 78797\n32094 65507\n24221 40258\n32777 40542\n5920 66986\n6134 70707\n51148 54344\n37240 60407\n26330 85488\n61238 85885\n51275 73137\n19879 30058\n45334 56805\n10485 65124\n69244 70244\n37127 80658\n24583 25753\n11484 48000\n2602 16413\n11621 22635\n2270 15052\n26598 43474\n51713 54215\n23482 82923\n13353 69451\n16046 35089\n15148 56348\n37392 46270\n33887 81272\n33464 36730\n34867 52598\n15600 22647\n1642 10939\n3205 5222\n41518 44482\n3714 42584\n21539 57072\n30887 31454\n54873 80442\n36306 85835\n66513 75461\n3631 61129\n68668 77523\n59910 63416\n15919 52722\n51195 84387\n708 53956\n3049 12782\n41653 81697\n278 79459\n5954 8815\n9203 12708\n23421 49508\n27159 30381\n50986 59293\n30448 59197\n2454 60641\n39225 80020\n40189 75509\n57838 70533\n6299 7709\n37830 40206\n26689 80693\n3023 32951\n5159 12362\n61631 74592\n68797 80350\n23609 70276\n37502 39410\n50665 69264\n29671 49478\n20851 84110\n40675 55118\n26652 51197\n42673 67154\n17999 29887\n84066 85977\n21711 62629\n974 37859\n6821 85439\n41207 82613\n32829 38904\n14419 25560\n34073 66102\n19805 55664\n45942 50974\n7280 43900\n36722 44004\n78753 85429\n15104 35550\n10512 29343\n10479 66898\n26084 26862\n7827 30963\n17487 84778\n40693 63186\n5918 52071\n29 37264\n62366 67372\n7564 9752\n13669 59073\n10637 80005\n31262 65708\n31640 76115\n23624 68615\n39056 75593\n35125 64619\n1965 46064\n77373 84772\n35288 47497\n20349 72172\n45755 69449\n19508 69354\n24107 36499\n31539 77207\n40561 75481\n65181 76800\n4216 18873\n4457 73477\n29866 52688\n28473 75845\n10950 44320\n51979 59535\n46845 65295\n12959 31895\n10242 77477\n49131 74777\n41970 46461\n34387 66180\n65978 75774\n25534 51310\n38347 42632\n13408 23321\n9347 70115\n9347 24415\n64774 78907\n7831 84923\n52349 62448\n31817 51816\n37524 55694\n20432 72870\n21150 57413\n12031 36821\n45500 72425\n26631 40815\n2000 64554\n18923 49711\n22691 27605\n32619 50589\n12930 42371\n11020 68862\n4726 46983\n37461 81417\n7971 40376\n64285 75567\n17810 41166\n17661 44374\n7522 35301\n2939 52146\n47112 72978\n57752 68115\n52691 78704\n82953 84002\n30642 44828\n4076 65331\n10556 83829\n69865 82827\n33412 37359\n48013 54348\n46294 63942\n5258 60046\n18339 42025\n34829 49609\n17374 53955\n8535 11973\n13954 56307\n24898 50774\n27757 42521\n62696 71675\n19253 52310\n31706 77690\n744 75877\n13662 59226\n27651 34182\n950 32319\n54267 58587\n15776 17463\n27754 72993\n6861 37993\n46938 53305\n36956 84660\n48630 58895\n36241 82327\n16105 62824\n50163 65328\n17294 41630\n10555 44437\n18215 20662\n45956 55216\n30705 67502\n14598 38544\n509 9585\n76363 81036\n13150 50318\n59452 66408\n32703 34424\n7156 10640\n15204 81842\n11671 71326\n5533 21370\n12700 42349\n65699 76072\n3102 32414\n8981 28949\n41313 48090\n11475 38197\n1363 74509\n2201 54448\n9434 39249\n78091 82313\n8881 45411\n13216 18122\n28224 66750\n5561 75467\n9449 70298\n7549 18626\n46249 62425\n18659 44121\n34032 67718\n3028 46999\n40646 59284\n18985 35915\n54600 65633\n41989 72241\n3015 72582\n6470 50475\n1435 40894\n4405 41460\n54052 60709\n59623 71984\n5380 13998\n41732 74435\n42004 79243\n29423 33232\n61062 85870\n16159 35408\n37220 84809\n20720 56627\n64195 77159\n27353 31458\n33422 36120\n6213 56702\n38317 81385\n65781 70637\n2870 14505\n39070 63081\n15309 53723\n34940 64252\n30477 75109\n49327 73644\n46390 84651\n36237 56313\n20481 39267\n34768 61880\n4532 79767\n3403 21352\n72233 82350\n360 54068\n19898 50150\n34362 48632\n33718 59561\n13764 15895\n43428 71380\n34841 77150\n48710 67694\n32774 43100\n22228 33886\n55363 59865\n10569 56867\n42169 56244\n39499 74396\n8138 30749\n35750 71833\n17597 67886\n471 25564\n18119 25561\n76798 80970\n6266 12784\n16437 84825\n612 33856\n6289 43275\n22248 64469\n53789 57621\n2340 33386\n29110 83748\n62785 63237\n7812 10806\n20984 46122\n58040 69894\n65128 84183\n22282 28788\n16057 81008\n29302 60956\n21548 28291\n12882 45315\n48308 68441\n24776 50568\n66031 68771\n51793 83973\n23522 68119\n78608 84666\n17039 44937\n46059 67660\n737 64668\n66777 80431\n6258 23804\n44118 57699\n25819 60338\n42388 82932\n17595 35947\n1322 80744\n54469 66401\n22323 77727\n23416 63140\n675 46370\n59696 77699\n13380 65340\n2353 17660\n32586 59342\n30915 46457\n55166 85216\n10315 51893\n31364 40201\n63065 67912\n58102 60906\n25086 39580\n1283 80566\n46037 53243\n33619 82858\n17658 46468\n46057 78723\n47234 74603\n650 62233\n7902 28653\n29549 73549\n1999 7886\n30854 70691\n35370 35418\n4360 17803\n27045 70236\n13747 13904\n9115 16107\n70858 78672\n32377 54167\n7545 53836\n37684 39468\n4858 40952\n14803 25274\n16846 50803\n1770 35902\n28061 73263\n13509 61839\n10293 33125\n31808 45018\n14502 50261\n33235 68072\n18308 42238\n15057 53502\n55738 76749\n19595 55026\n13705 29183\n58075 83065\n28660 39523\n11341 45212\n23069 39863\n39860 46533\n4131 77879\n22316 56637\n10811 69455\n28729 67390\n5713 49994\n20539 56694\n4110 36759\n47487 64302\n17113 27922\n73754 76800\n15350 17964\n44560 52211\n20572 44625\n21506 22353\n22965 24351\n2731 13715\n57542 66567\n27327 84977\n33606 48067\n38294 61744\n56019 59974\n22478 79966\n63066 68452\n54880 82353\n27984 60154\n6491 79860\n54311 71512\n6543 34697\n25590 83515\n2669 51386\n20312 47677\n19465 19770\n8268 79136\n40482 54237\n20126 37829\n19023 70840\n55356 58582\n60483 65603\n9474 11977\n21225 79264\n2916 82263\n80432 85122\n45159 72904\n9030 69417\n22654 70387\n40112 65298\n16663 27748\n1945 23612\n10801 57445\n13605 60391\n33633 65229\n2436 60435\n3234 6113\n18736 52851\n993 44250\n17076 82786\n10133 73386\n3241 35460\n45519 46123\n35036 68115\n10163 44189\n154 35001\n13808 73620\n19946 81605\n67207 70933\n9936 16762\n18313 30000\n33334 71292\n25859 45188\n70747 80939\n80829 81091\n34525 52807\n76096 85691\n58902 72080\n37679 51570\n22998 81786\n40774 61668\n48633 67199\n8658 21032\n27552 35917\n3972 15512\n16885 49772\n29169 32307\n34465 70055\n65431 74816\n14055 74424\n82679 83436\n22713 78396\n41119 64685\n58324 67214\n9911 15787\n6999 51892\n2162 42928\n22875 43072\n13581 83595\n2851 63214\n29211 66011\n40985 81353\n6616 8887\n53053 82354\n69947 74398\n51161 71701\n9297 23566\n13440 15973\n9686 67166\n42032 82367\n71698 82097\n26290 72730\n65314 71644\n35566 57843\n14062 54222\n10783 39453\n31883 62480\n27211 86005\n22970 37661\n30283 78611\n62701 71981\n37765 77340\n15543 36020\n55602 74697\n34908 80638\n5575 79972\n9542 32932\n598 6249\n17518 25360\n18747 51068\n40301 47036\n30952 50274\n4842 7764\n6441 49661\n10526 47054\n6760 55566\n26963 35488\n71450 85425\n1447 28170\n22249 69530\n38438 57618\n6648 84472\n33944 71956\n11662 80095\n35678 44013\n44848 49088\n20580 25770\n20751 77971\n27139 64257\n54882 75780\n49215 57963\n73725 78106\n2919 4189\n19976 41665\n577 79391\n2128 82720\n20816 51884\n22095 42838\n16243 42184\n8411 76551\n33706 52240\n9379 49811\n13000 70313\n35607 50642\n25332 57040\n10958 23937\n19677 79183\n51553 83533\n39718 68888\n39561 64765\n28489 60299\n35451 71301\n18728 29093\n731 18744\n33530 73889\n18001 39457\n43904 66490\n59957 71752\n19912 65006\n5328 19157\n20800 57751\n5451 32466\n24271 72511\n16137 84578\n18434 68225\n23950 81847\n16685 79087\n2063 76826\n2644 29788\n20578 22669\n79729 83911\n4656 62971\n77476 78131\n4400 73408\n3928 33075\n32683 38845\n10676 65425\n4211 13458\n8127 69710\n43526 77457\n1500 37586\n73437 77598\n1637 49028\n33169 49423\n20197 70996\n22066 45359\n2040 67523\n4661 70019\n23204 63009\n27676 61979\n41298 76106\n38449 41497\n48962 70107\n35229 80086\n6263 49132\n21379 61681\n27507 61590\n28197 65499\n7785 76731\n15077 31057\n73197 82930\n77429 80481\n4766 13025\n20010 70697\n1010 26480\n3999 55636\n37391 77693\n2056 78653\n58161 58209\n23094 50041\n45982 77063\n10339 81296\n47658 69987\n53077 76124\n39186 85599\n2730 9230\n70495 75595\n81774 85054\n40156 85572\n7683 50133\n19780 29081\n11511 36177\n36518 66445\n28756 32204\n58467 82004\n6558 74304\n42730 54578\n12614 46499\n32366 75000\n19338 55449\n23794 77081\n6073 39909\n51282 72386\n3568 22249\n1870 28543\n3980 58642\n10680 37635\n62237 82880\n17144 44245\n19499 71355\n14413 79596\n29667 58985\n54696 85329\n27071 75420\n22060 38167\n5428 18561\n32421 62612\n26112 76912\n33184 50087\n2006 33490\n65518 81546\n8991 40173\n18917 35028\n31791 54919\n29439 70315\n15565 47503\n36478 64834\n14860 48949\n16490 39996\n71471 82705\n8300 71000\n73061 77532\n1266 76806\n285 15454\n29101 77551\n14355 33949\n41504 63041\n3745 77800\n41679 77288\n59437 65002\n63057 78904\n23751 54676\n45000 56036\n39051 67015\n47724 71136\n20458 77512\n14756 67381\n48789 72217\n4434 59086\n1773 28317\n35024 77269\n34483 37142\n11824 36104\n7360 31942\n19327 52119\n40388 49502\n29481 36250\n25496 68577\n30064 48795\n37979 66321\n37653 46366\n59887 79632\n8296 83751\n34138 64477\n42433 60218\n37840 40475\n14096 33651\n8354 62198\n44287 55815\n909 85653\n3823 77879\n28621 75349\n3416 74830\n6109 14641\n73699 77174\n18033 59715\n17130 51301\n42857 44948\n7592 64399\n30276 69636\n4734 57488\n9333 72802\n25286 28032\n49755 74116\n6473 51178\n16279 34849\n18777 40932\n55350 79475\n16304 75404\n9968 73611\n33591 74161\n6535 84360\n51489 55605\n48513 79912\n3792 41975\n4627 72473\n53189 64798\n10219 82398\n7702 23095\n68689 77392\n1029 3618\n44794 80794\n41884 70138\n25452 45326\n68865 84928\n65218 71179\n14060 16742\n7684 46138\n17158 65130\n60402 66191\n24113 62836\n52189 60533\n6078 44510\n36332 59395\n28078 31170\n10882 46925\n27518 73855\n77674 85166\n54218 59712\n29492 47615\n28508 61723\n3014 19695\n29781 42175\n44578 68740\n6612 44975\n56982 82629\n17274 45463\n16386 80218\n32731 76572\n35511 82246\n12113 46575\n44219 83237\n33734 42847\n36 74644\n33956 55139\n10685 53184\n11139 50970\n34382 62231\n47722 57469\n19138 39241\n2949 35908\n66657 85351\n19642 81132\n30986 72904\n27928 30787\n19223 46228\n79472 82595\n11530 66871\n24082 68813\n55097 76095\n59644 74457\n11485 24724\n49918 51037\n437 8359\n81026 81077\n22132 34276\n44891 56466\n26466 44071\n22168 69327\n58993 68776\n35907 38970\n28307 48974\n22610 79594\n73125 81530\n9910 39333\n65242 74263\n28243 66607\n5358 10685\n15908 57218\n702 18999\n33748 62749\n78439 79445\n1320 14420\n82109 83673\n37130 75394\n420 69302\n22496 28212\n10497 38810\n13217 82808\n1320 37954\n21021 76311\n48605 55683\n11984 72377\n4508 18304\n56158 85659\n9849 26340\n28374 83093\n26811 77229\n63017 82049\n62633 84596\n34131 67694\n19015 78029\n9025 40693\n29031 74927\n12704 74909\n16865 34828\n13284 27442\n8625 63803\n17675 83031\n12048 41243\n32943 75704\n51980 54512\n5123 36392\n13240 23462\n39551 84384\n29655 74681\n19221 59036\n38236 67773\n55654 68384\n27651 52780\n35422 59903\n34420 74496\n14570 74942\n564 38108\n17518 27487\n33742 71758\n36280 57979\n46284 73334\n51339 60179\n60116 74993\n53219 68069\n29006 39526\n34837 74797\n7882 55952\n59154 68940\n17364 63222\n16460 67339\n61365 78245\n11052 45131\n7145 45994\n30088 59131\n3321 39021\n44984 83899\n9955 49203\n13119 58914\n17388 80438\n46203 70364\n3258 56397\n67336 81610\n1122 51893\n39286 49615\n36270 54554\n9968 42206\n7047 75243\n23495 76344\n61991 71193\n32868 78130\n47987 81251\n47421 74078\n11113 15182\n7502 26365\n36228 63539\n17975 70985\n14074 73080\n28589 30899\n15997 81219\n50871 67645\n23758 40773\n12646 67662\n2908 8313\n30134 49123\n57508 70690\n12152 66359\n65447 80663\n12481 46642\n12363 55560\n65884 70465\n22160 60805\n33578 73587\n37246 66357\n35659 57030\n31310 43792\n22340 29601\n3111 82391\n22251 81255\n73553 78599\n51897 73721\n14292 37247\n45859 78862\n2374 10531\n72517 73032\n48934 52532\n35187 71054\n56255 74612\n1323 35262\n17339 76329\n6320 57555\n33621 46464\n13403 70799\n32582 58769\n5663 51479\n10236 64639\n14254 46091\n3099 61062\n4387 79418\n48972 57978\n35942 41240\n54039 60791\n7885 65300\n38823 58701\n5248 50776\n37627 71303\n19917 28962\n19560 80041\n16309 75907\n14014 33110\n3498 75959\n40579 66611\n28784 33674\n55348 62854\n41569 68130\n41554 55253\n4810 19454\n618 42322\n21584 54948\n10165 47147\n16278 60693\n19806 57962\n53996 74133\n33708 67231\n44359 62322\n79761 84130\n2265 8091\n1533 8916\n5131 19142\n30766 49880\n3584 32080\n24553 32715\n31456 52280\n26657 32781\n10120 47780\n569 75472\n32861 48592\n31102 77940\n19540 74410\n28164 52119\n59796 73173\n16621 26832\n55889 59323\n8657 49434\n58598 71649\n29824 55184\n24235 54606\n32097 53671\n1750 12703\n10400 21157\n51798 74420\n12021 79286\n72235 76756\n64531 74642\n51285 85552\n27308 56745\n13913 21368\n28393 55138\n67767 81777\n14352 53223\n16155 61362\n9567 48976\n66240 76537\n55631 59761\n24429 46902\n6727 83752\n38292 39385\n42798 71307\n6677 35648\n57300 67023\n11444 14407\n40752 64105\n54444 58064\n71444 82616\n25289 35349\n16038 64130\n21730 85054\n14533 57183\n8589 39154\n12396 26406\n12102 57050\n2021 5102\n32162 77128\n58155 73200\n24182 35007\n9779 59315\n56805 71998\n59261 70204\n31479 36341\n43493 77074\n40698 72353\n8198 53003\n10747 82385\n71588 75404\n42685 46629\n64580 69370\n24718 32425\n14352 22415\n14296 77671\n25327 34623\n43752 55540\n14870 43426\n24029 26089\n64887 81485\n34509 70614\n28103 45570\n49876 80979\n43408 85928\n50049 58344\n41592 71494\n40 41820\n21092 59696\n63853 82574\n1382 62181\n41912 58691\n26316 29183\n16869 56321\n22610 71168\n9123 56854\n38495 62781\n47075 54733\n15095 68759\n4956 79201\n26328 66424\n11092 77918\n15833 39956\n32165 44899\n38884 79160\n27284 67394\n17472 46514\n36563 40695\n22817 83906\n13058 14054\n19003 24087\n15002 54295\n28986 49314\n70308 81123\n5632 48319\n8944 85379\n17990 47899\n15704 38106\n11226 61454\n58272 64550\n4676 23132\n27827 33789\n25770 31194\n26532 54900\n48863 82989\n6292 66630\n57775 67172\n53589 56322\n38238 84871\n47702 60191\n58833 85274\n28315 80207\n28791 29325\n37379 82249\n32966 45911\n67564 73683\n33287 36722\n56097 77651\n50808 54966\n20812 44124\n42470 61830\n5029 77111\n47612 62534\n6894 67191\n54156 81394\n35506 82224\n30926 45190\n41169 68317\n48171 58109\n31603 70734\n16090 39496\n62095 82047\n56695 81605\n1684 78341\n15069 55192\n42290 54625\n9383 28727\n13528 71059\n8287 85060\n5035 59180\n59903 72619\n1254 72022\n42258 79959\n69601 70607\n34898 35654\n9986 17245\n7647 43318\n21088 22453\n52745 81882\n63200 85491\n74188 83236\n35649 70471\n24024 47474\n44727 82935\n47852 57916\n45927 62821\n24816 62423\n63237 70592\n42166 66104\n25650 82078\n30301 53203\n19592 71214\n8885 61472\n34796 79290\n5212 47905\n31983 46211\n72818 84971\n601 77024\n20898 59021\n68791 71846\n68454 83993\n14234 37440\n7707 74121\n65304 73505\n39806 50980\n14271 42671\n1461 38255\n7353 15439\n13291 50440\n48589 50786\n19346 34360\n8875 44146\n54224 60623\n41585 76792\n50942 61836\n48586 83018\n5352 18889\n44008 58845\n75779 78364\n24143 41579\n36998 82432\n5437 18016\n19200 23470\n7047 62549\n7421 59941\n26274 34320\n5546 14840\n16324 74930\n29333 40566\n71415 72675\n11521 16910\n20367 85066\n58874 80189\n13930 55405\n1633 47488\n3359 38884\n37147 54895\n52407 57774\n18478 35321\n36702 69995\n49930 52620\n6294 25176\n42963 52576\n20064 50339\n14040 26193\n28173 40916\n41563 46076\n2102 41444\n21039 70563\n4942 44895\n32020 55537\n11263 58308\n58840 67194\n9673 60301\n58095 80426\n61433 65332\n7905 65007\n29160 36539\n60084 74805\n19183 37662\n16770 66472\n24057 74772\n44276 77762\n16043 45907\n38338 66658\n66591 80439\n14446 42329\n29875 50396\n57034 62399\n62733 83238\n5729 67865\n16431 74148\n25849 78420\n56899 84658\n4911 46930\n10635 51343\n47044 56063\n46213 80281\n9668 13693\n4100 81071\n6079 17726\n46727 84202\n57360 68059\n14551 83842\n9489 34908\n21006 64551\n880 76559\n68919 81276\n33084 44263\n12151 21145\n56867 71844\n14162 16460\n4269 71543\n11433 82759\n30361 51523\n34689 37231\n29154 57851\n2516 62209\n31334 78527\n1218 15551\n27011 85892\n32337 32398\n47960 78332\n60877 63668\n46050 57907\n7906 84889\n61754 66266\n64540 68128\n48042 52559\n34333 79547\n16222 62170\n43913 69318\n31520 39482\n24452 80323\n16479 36250\n83472 83921\n74958 79152\n2298 71120\n11042 26194\n22617 77437\n24711 82649\n1120 6616\n1980 68753\n34959 39684\n42753 83815\n598 59206\n78004 80366\n8588 63463\n7901 29872\n4913 7043\n26006 57676\n1876 29911\n32230 48948\n74713 85760\n10441 78845\n61192 63218\n39751 46125\n40347 62293\n43913 61892\n28542 42421\n11802 21438\n20988 32542\n48935 64417\n70251 80321\n30940 72651\n20604 31817\n43689 71193\n72923 84431\n25135 80320\n62868 64443\n60261 68344\n3395 59862\n4196 85024\n59382 62489\n1693 11622\n27737 42452\n57261 63594\n48175 68473\n32411 33488\n58561 85777\n60745 66927\n37003 65388\n65486 78140\n24233 77667\n4037 39021\n21872 80816\n19198 20562\n17806 68884\n9037 58200\n25811 56996\n27931 72879\n44148 57066\n65644 68336\n24295 58163\n32064 32304\n16528 53670\n26408 29485\n51475 60228\n13043 54279\n43025 55585\n70906 72422\n37542 83997\n1541 49161\n9597 65497\n60695 84804\n24505 72223\n13887 64092\n2841 62560\n2843 35246\n16300 58027\n37644 70787\n66158 71444\n47811 80674\n27341 60503\n11240 37592\n2939 71707\n56739 82503\n4416 66182\n6393 30224\n13141 77457\n1431 46939\n7725 83242\n54862 77417\n4626 13992\n18799 48294\n29730 85722\n8220 18856\n4804 74942\n42018 45980\n18222 65453\n15130 66839\n4393 35214\n59318 75957\n1113 66288\n34781 63067\n63615 81104\n8326 46368\n51797 66591\n22702 74856\n50242 68342\n43933 73581\n45067 70732\n2304 74809\n18447 73615\n40955 80260\n11942 66777\n39671 79596\n19541 83185\n82618 85606\n2499 71845\n10051 74908\n41943 46713\n57890 60634\n4854 55059\n32695 47506\n39655 57697\n10232 51118\n47462 73669\n25560 83389\n12354 76434\n5794 16417\n26155 55258\n24743 84627\n8778 75709\n2970 77866\n7695 36532\n27435 60477\n29750 49415\n27474 42164\n10542 35697\n73761 76289\n39163 60602\n38153 81431\n17059 22291\n38462 54458\n52056 53777\n19899 27434\n20170 23933\n31155 74140\n44195 68126\n12623 29070\n15309 60174\n31901 36919\n24021 29099\n20287 58489\n2359 81586\n19306 55778\n13517 60121\n44583 81169\n29257 37070\n49805 55278\n16499 45380\n43249 45249\n16499 33211\n3626 42370\n39726 68789\n4153 9706\n9706 75082\n8379 63415\n26468 37166\n31050 60566\n29603 72183\n16357 35376\n42888 82571\n12751 80703\n19116 68628\n15678 50079\n37671 76735\n23017 44312\n18377 81761\n8357 60989\n44391 58816\n3546 67971\n38012 46626\n12441 80863\n5622 65639\n75673 83604\n13099 32853\n34195 85616\n65177 72739\n74087 80308\n62607 72833\n20672 36397\n36232 68337\n24672 76214\n72482 78590\n81149 83399\n46464 75803\n38991 51241\n45406 82615\n7131 45921\n30666 69354\n8402 22165\n10800 53354\n15312 48428\n24094 35547\n34084 35915\n9500 71905\n20488 78475\n54468 83753\n13261 77351\n68251 80737\n35860 61339\n15709 34383\n23130 23377\n36436 46390\n11465 12275\n42336 64322\n73283 81867\n11708 69379\n21670 24447\n20701 81970\n16674 44520\n23019 25221\n34935 65839\n38182 57929\n54823 70972\n66236 76084\n15057 29243\n16472 42197\n44825 76221\n2045 42337\n984 6819\n5179 21290\n6912 16865\n15431 53044\n46671 60835\n17649 68719\n6625 41488\n31736 73966\n11960 26251\n30860 54143\n64154 83315\n30157 49844\n3947 53398\n71416 78568\n28949 29513\n18633 45824\n14578 75038\n39151 60161\n25150 55180\n41316 42282\n28185 81908\n28401 80902\n10772 27673\n65557 76695\n46751 48404\n8825 38168\n20047 68930\n17443 41285\n17559 39671\n15280 84476\n24334 28452\n59201 60077\n62889 78717\n71 83802\n68870 82401\n19511 35669\n16177 50620\n3130 4064\n22407 81074\n46999 83259\n3600 8665\n9282 12421\n20081 64295\n8640 22019\n16590 28725\n59092 63193\n3769 36615\n31401 63240\n28463 52333\n35519 82532\n9188 53047\n16484 76828\n1030 38893\n42423 78158\n33887 48723\n75787 81250\n359 39272\n35801 68359\n69386 83716\n31604 56199\n6224 17599\n41074 62710\n12820 43490\n12909 54255\n34356 54929\n65361 76585\n54998 70291\n1597 51994\n2898 73398\n26232 31564\n47969 66046\n7602 28929\n70447 76823\n31262 52009\n23253 55546\n30136 81009\n61732 68022\n20470 80052\n31293 76920\n41091 52953\n21965 69226\n5735 70201\n28453 60249\n687 10869\n29570 77193\n49884 74476\n29535 31327\n24616 39088\n49863 63774\n49758 66010\n11599 21765\n6526 11634\n7965 59435\n20843 71202\n25823 37292\n17303 17447\n7935 54284\n17148 42900\n73556 83889\n36255 71497\n64458 69573\n28688 65125\n60552 79313\n37688 68570\n75331 80923\n10940 63198\n53153 56160\n5271 32067\n15248 36541\n532 53908\n11665 67173\n13002 84128\n38572 43592\n19980 24595\n78871 80226\n7182 35957\n41006 41045\n72843 81949\n55372 66803\n35209 84136\n41244 66949\n15358 83127\n19885 70813\n22782 71471\n11941 28912\n22714 29373\n70895 84794\n18759 27209\n41571 60253\n4638 20741\n40637 74161\n9549 19870\n3832 43673\n8348 50911\n200 39605\n1455 83857\n21255 70825\n16423 45846\n57273 63371\n16011 80942\n2807 75749\n54589 83484\n8097 20511\n34925 70849\n47704 63869\n55415 59593\n38308 72874\n48543 63997\n17226 65779\n5838 39088\n29912 68612\n8676 70686\n22284 66123\n55119 84241\n72000 79458\n1593 1652\n30650 80816\n75927 78393\n54121 79754\n34406 77982\n38768 73159\n30189 56420\n23890 68314\n68554 80413\n27048 85056\n15527 80561\n21766 40849\n14792 74517\n6292 14521\n49456 67249\n29450 41566\n61388 71778\n24152 78835\n6172 47670\n18939 83400\n67100 78568\n2859 28938\n30885 36806\n27913 72394\n65767 84910\n44207 82068\n39125 43689\n15881 71678\n1049 84688\n8004 26417\n27040 74763\n19404 79687\n61362 64195\n42317 78673\n69282 69426\n2234 46393\n26891 61259\n9449 79852\n24492 82319\n42444 46618\n41602 77151\n29417 82558\n72722 75380\n50626 72555\n25378 62541\n23189 36159\n18953 24292\n68907 81058\n10663 38649\n342 23981\n21162 59568\n6626 13266\n14011 15271\n29403 47050\n32442 79178\n41627 76424\n1565 61754\n26252 56823\n45048 79174\n8990 30669\n12522 82755\n1420 54335\n37788 72875\n16038 80283\n31104 44161\n76194 82884\n47063 58418\n9548 72111\n802 52272\n22955 83276\n29780 66979\n28595 72078\n58746 84198\n25760 78430\n9383 18869\n41686 54506\n9448 37275\n4466 78031\n51246 68698\n19165 55627\n11434 76749\n23131 76819\n30559 77057\n2568 80028\n50086 84174\n15692 85472\n2250 47912\n3105 67033\n57695 69575\n13611 63006\n46790 63061\n30529 63553\n34318 85782\n65617 81208\n23250 35038\n41499 49429\n34404 67988\n41982 70694\n41406 79554\n51631 83327\n39687 83349\n27285 33962\n18040 71945\n54947 63806\n41832 72816\n3982 73957\n16731 60468\n36095 43958\n30575 40993\n4539 55262\n26101 83921\n55332 64321\n19260 29795\n2914 56736\n57466 59392\n8936 46895\n2715 57912\n9277 20805\n51013 80507\n22062 47886\n9270 19145\n17079 36071\n30688 53298\n33355 59903\n3382 63149\n1829 75492\n6057 80169\n5035 58604\n40262 59206\n1191 74409\n3744 78844\n7942 44820\n18904 38278\n48383 56448\n13234 28088\n57586 71275\n28766 85076\n52019 82378\n4871 23836\n24737 83635\n31403 36915\n54315 84930\n10528 40258\n22586 78472\n3190 41687\n13280 21405\n29630 80087\n58026 60861\n32300 59680\n44004 70309\n42335 62381\n34393 61708\n45183 56567\n19399 83271\n16627 83559\n48131 53155\n15758 77051\n11885 19632\n34245 81728\n20918 68060\n34287 44282\n8250 70717\n9851 30596\n23596 84697\n53593 85969\n32052 48985\n2230 6256\n52118 66528\n10949 25930\n21178 50380\n10673 69594\n7551 14890\n74653 85537\n14808 15422\n19471 48626\n10530 38084\n16876 23443\n309 52796\n12136 77043\n41999 80557\n17419 64552\n56493 63821\n11444 18926\n1774 62128\n14299 59725\n36311 70984\n20517 43501\n55656 78897\n3403 53426\n14485 52755\n20813 23667\n5084 47946\n67196 67818\n10864 32645\n39455 73786\n60697 78407\n12068 61466\n39351 81027\n25850 47803\n29063 30738\n64935 78602\n7982 67222\n56114 65264\n51389 81125\n22307 43974\n39982 54284\n74258 80738\n44264 48282\n12259 67553\n9235 78266\n18621 77749\n71984 72703\n40908 58480\n49095 76469\n10394 67026\n16198 17384\n55122 59653\n35044 58943\n20187 77669\n18281 58422\n10892 25549\n22637 28035\n58637 64956\n203 43682\n46202 75087\n29694 57162\n15943 61136\n77763 82715\n24415 34106\n68031 74755\n9014 67935\n68102 76998\n29226 53352\n1059 70555\n3408 17814\n48648 62371\n20801 69818\n71175 71337\n14696 51753\n61595 62741\n4295 19735\n24634 63254\n29766 42632\n22819 23701\n66199 75499\n40143 76830\n50363 83995\n25670 74840\n2402 26005\n1355 27695\n1692 31111\n19841 54365\n13271 45210\n34228 39368\n30272 69985\n30443 55634\n47893 64835\n5528 73058\n9641 61650\n3064 44335\n7370 78412\n55104 56224\n3740 52869\n21915 51343\n33694 59619\n9306 40038\n39539 41463\n5492 77841\n9475 31947\n13425 25441\n56200 75325\n7892 9751\n45373 73770\n51002 53149\n72634 73991\n17852 79101\n18335 75220\n38685 79249\n18776 23988\n53040 64660\n7616 57374\n13979 29170\n22950 75927\n19 75679\n53303 83828\n23239 71314\n49070 54629\n2837 39096\n10283 83140\n17902 22570\n19723 59072\n4223 47087\n13756 82253\n4119 28794\n50144 70666\n10665 18205\n27208 69423\n31680 66149\n118 61153\n47189 63741\n12639 43376\n11630 25427\n37946 83709\n36617 67901\n36509 71753\n47341 81851\n9152 54833\n61769 61890\n37761 47220\n59967 84643\n1132 80735\n72889 85620\n7795 63732\n40413 59846\n40064 57688\n75261 82440\n40305 51357\n43534 58768\n5697 8557\n21618 50586\n7210 18907\n2489 69773\n12080 69748\n57187 73455\n7725 36298\n40022 80894\n20015 72177\n26495 40662\n22173 24825\n24259 64318\n22412 37962\n43720 75046\n14208 59959\n1101 84567\n8504 33969\n22895 60045\n3032 73443\n64344 77918\n35451 49056\n6825 83129\n65802 73321\n40132 67851\n50528 72837\n48955 55015\n13049 39339\n72372 75362\n38329 75862\n9485 13132\n71673 82210\n26691 62077\n18650 30163\n36457 68127\n5120 63531\n3916 39346\n8566 73723\n12366 75760\n3434 69261\n8767 61436\n16662 75254\n24887 45046\n33651 79132\n27684 71007\n2430 52748\n25650 31831\n27055 33970\n1064 70971\n12471 18023\n22080 80986\n16863 26536\n49473 64734\n24962 73553\n52197 82638\n27843 67754\n13206 47626\n25030 57777\n28645 50104\n56479 62019\n51160 70746\n7953 32525\n9842 36359\n45977 81020\n1838 68818\n70474 73328\n13403 50159\n40876 49272\n53618 58165\n34210 53519\n22323 53721\n41410 53812\n26572 57950\n330 34640\n33771 70842\n45218 64444\n8978 36147\n56343 77206\n78792 85541\n3233 45790\n58959 62409\n51942 78474\n9223 79517\n49882 60573\n22757 74868\n54603 57766\n1350 76866\n68518 83245\n81785 84791\n29982 77942\n12443 28762\n26416 60728\n70452 79527\n60464 64555\n13012 18843\n50083 74364\n6959 7893\n61156 74416\n17124 23700\n21693 69964\n31654 77379\n8039 77894\n6650 19653\n56215 60540\n6144 82234\n1478 74066\n27507 85576\n78962 80056\n29770 47501\n27947 83457\n17824 28149\n46285 51699\n21662 56209\n9702 21155\n10235 38156\n3142 9259\n15504 82679\n58356 60965\n19760 75212\n51650 58430\n11340 63842\n10808 51616\n4460 48620\n68002 83055\n32425 77260\n10072 59130\n20343 38783\n29967 59139\n50133 85153\n20431 48557\n6662 18716\n34463 39435\n14117 58932\n33210 79472\n1223 30055\n28347 64250\n30755 85416\n35643 48893\n42515 45256\n10513 60336\n29940 47095\n40378 80754\n14054 56891\n7556 48878\n37522 75076\n1793 75202\n59898 62662\n3313 27773\n11196 60217\n13785 68909\n78390 84361\n14816 39013\n54448 76721\n21995 40122\n10144 23223\n42418 48666\n16780 28610\n54964 76149\n27855 69485\n27877 40202\n50539 50620\n9015 79012\n37335 70050\n45391 72600\n12008 16509\n43939 56565\n60150 69454\n19459 85388\n9330 34249\n31938 83294\n74020 74340\n22258 31870\n35003 38277\n31157 41606\n42764 83946\n22801 35168\n18709 84941\n13534 35132\n5522 31418\n1075 79022\n25276 80795\n4781 22636\n22057 35592\n59755 73871\n15336 38748\n25653 62360\n49433 51584\n34220 71990\n12083 67607\n52418 65882\n38609 58837\n11956 41601\n19985 78173\n9903 44414\n22320 41582\n11200 12036\n33898 53317\n10034 24737\n46147 50353\n21050 43013\n13743 57856\n44595 49404\n29355 30699\n17033 77490\n29586 39492\n57187 80398\n24742 33413\n45156 78943\n9331 18072\n30986 38083\n3794 54722\n24151 41197\n40695 57721\n7025 43940\n16418 46733\n47254 51707\n30775 41662\n8662 57155\n28099 60388\n42990 63371\n15926 78063\n927 76421\n20795 24949\n51733 80772\n50629 54315\n44538 47699\n10241 84795\n39455 82447\n39020 54430\n8626 82374\n20435 32454\n31246 31655\n17012 49074\n16527 64818\n29156 57590\n10117 20001\n26146 69548\n51786 69669\n29186 42110\n12702 18714\n26275 53993\n49647 82610\n37588 60764\n51757 65816\n28217 84670\n72768 79762\n2062 24289\n45010 69681\n57872 76809\n63603 80429\n65127 69601\n28098 75195\n58251 69019\n1262 28626\n24102 79062\n25737 61662\n12459 13377\n5704 50564\n46972 61712\n2273 62952\n21939 57442\n26539 65894\n41716 84128\n37146 63144\n23645 70180\n28565 60147\n24649 83337\n51271 51288\n1850 61349\n15086 78248\n74 36978\n10560 20483\n17286 66955\n30374 37788\n60722 76488\n917 6633\n469 48983\n10931 11793\n25924 37829\n40518 60625\n43308 60843\n41422 76073\n11223 77109\n44230 83385\n19328 27971\n31523 75759\n37061 70999\n42988 76349\n31023 47988\n50699 64166\n31138 40566\n37754 43152\n21766 45503\n18859 63098\n13983 35654\n2357 80450\n68542 84893\n50895 58397\n15208 41437\n43026 60503\n19426 39609\n14255 74399\n2204 67455\n38194 49286\n43816 85764\n32096 33251\n6755 59159\n24285 32044\n58662 82606\n15889 44847\n14155 18298\n20500 81708\n16328 54887\n28499 63381\n17561 71010\n15637 70646\n34439 82514\n2022 10498\n40109 82264\n55828 78374\n40245 61346\n2768 51209\n14696 24572\n37392 63122\n20669 70521\n25791 27641\n60085 70684\n7543 55778\n48420 71941\n45567 81856\n8344 57800\n33540 35229\n57530 85719\n24583 34408\n11171 22127\n16616 39406\n51255 85175\n39878 79214\n58295 66979\n23157 57460\n37946 69497\n61026 65601\n16539 21664\n7683 59558\n34478 72480\n43313 49175\n17384 38463\n5678 10070\n30158 75195\n11740 31290\n40537 58535\n55578 70194\n5619 78659\n52463 72588\n46152 76588\n25465 59388\n179 63267\n10658 53706\n1038 51271\n8275 50580\n1250 20893\n34080 77131\n11814 60547\n20327 68176\n2883 48252\n70441 83338\n27833 35822\n26783 68334\n48936 71936\n61455 77769\n18510 24215\n64640 82149\n61753 68435\n15067 60213\n60338 83797\n62686 71620\n60766 73866\n56324 83339\n9992 14584\n10018 43859\n19411 78242\n15636 22378\n39192 58007\n23365 31418\n47245 85613\n3101 19718\n30904 34804\n40834 79414\n39373 69687\n39829 64354\n43753 63504\n27577 40924\n61659 80271\n3868 68563\n31185 58846\n7546 35437\n55512 68511\n49539 57372\n12559 45163\n11875 26628\n24211 50048\n15477 42862\n27283 46991\n68899 74339\n14023 34905\n44605 57909\n7896 32424\n26248 58684\n2887 39280\n12271 38279\n6077 85685\n4460 4537\n20832 81199\n63460 82565\n57213 65842\n23708 68977\n27934 58305\n23108 61591\n33281 77143\n33327 68490\n22158 80284\n24249 62165\n8077 76480\n35032 81409\n33107 49078\n26850 52513\n3410 10707\n28457 77639\n10249 83900\n44615 67922\n66271 81284\n14537 39482\n10147 42625\n16745 48582\n27682 53556\n53 38772\n9203 21944\n2237 57097\n8955 19324\n43995 60597\n45045 60210\n24592 35770\n46266 60814\n16686 28337\n70430 82828\n45096 58190\n60871 80901\n15145 57120\n29436 48453\n45517 55045\n8825 18177\n2896 21088\n9399 79461\n36207 56876\n5889 58568\n25135 65408\n274 14753\n2518 60009\n3953 73250\n18987 20331\n8571 44782\n54132 81779\n48769 56309\n5184 11196\n24010 48465\n13790 80136\n17218 31464\n45235 48521\n1315 10143\n10435 26699\n6111 85238\n45131 66098\n3564 61437\n64100 68623\n52672 83881\n11731 73382\n3006 80626\n6118 34398\n10280 48347\n14187 74268\n47601 63212\n82651 85217\n27859 32762\n19892 44293\n37883 55223\n19051 29311\n20986 80360\n15709 65863\n28389 59874\n50999 80700\n33082 83136\n25570 72798\n27852 76802\n16969 41927\n14530 78744\n16808 61156\n17991 33615\n11766 15282\n16379 66210\n23696 40670\n27431 70313\n2566 76783\n38086 72352\n35189 85359\n433 4371\n23445 75067\n35836 69750\n50276 68945\n41371 65906\n30487 70067\n17388 64641\n36851 52544\n19275 19692\n6495 53440\n42321 55307\n33774 39876\n33079 41615\n54366 65010\n25822 72501\n40344 50631\n19412 84004\n2994 33529\n69400 75844\n48547 74838\n17604 62060\n29305 74815\n29679 65940\n38376 67858\n48775 58495\n11290 40221\n13423 21184\n42158 82853\n42611 66313\n25089 59133\n6950 29582\n32701 62136\n27466 62422\n54560 82799\n7377 43901\n2948 11799\n33940 68480\n4502 40924\n58106 79350\n53831 83116\n45892 55423\n45585 83580\n3739 6967\n21005 75010\n21238 68677\n31340 34432\n40921 85538\n18647 68282\n41448 70322\n37036 75271\n46285 62144\n7919 80211\n7471 72788\n21657 49734\n21974 62750\n10380 56965\n58839 59393\n20219 60523\n3334 36081\n72831 77757\n9936 64303\n57357 58643\n37406 55572\n33237 82509\n39144 80753\n10358 58060\n15805 30605\n41095 56664\n40857 61113\n4579 19788\n3282 29682\n33658 54011\n10918 76083\n6137 68863\n41517 46084\n5063 65598\n29470 40351\n25132 38106\n9158 74196\n67780 83271\n12185 40977\n16655 35027\n52263 56878\n21587 58393\n5603 16173\n62607 84405\n50636 64159\n18463 25798\n21251 24730\n9980 79271\n40019 57736\n56866 74769\n42611 72795\n2072 13478\n6437 24783\n3453 30306\n22226 32918\n23080 57080\n51609 52202\n1589 42782\n50013 55477\n25653 50005\n34589 58372\n33274 36942\n2055 31083\n42836 71074\n3524 41496\n3453 73667\n6836 56047\n57697 67073\n12619 78184\n17537 66769\n21969 53180\n53477 70164\n51032 74147\n12083 77636\n17830 75949\n45116 61121\n8334 25140\n39374 75605\n54598 76448\n36379 46516\n29854 49836\n18605 30356\n46210 55486\n27 10624\n35234 68716\n34022 52583\n248 33234\n47902 56802\n145 11199\n36563 49382\n13683 56506\n6878 65005\n11753 29783\n72402 74153\n80717 82906\n53639 63937\n8325 58959\n68891 75215\n72194 75834\n30869 36546\n60431 63459\n65617 77342\n29339 48481\n13267 20746\n20747 59380\n57249 63696\n27855 33796\n31842 74570\n9489 14762\n42484 75225\n14384 65352\n10479 55592\n33030 68488\n48988 83887\n22911 41098\n34671 42835\n4925 5631\n61490 84894\n14909 84953\n19332 78652\n11940 25405\n44450 64992\n28719 44183\n56156 79407\n1313 50878\n74486 83326\n5946 31368\n19702 60680\n28559 63994\n34750 74979\n26607 44087\n11787 80018\n60226 60567\n14817 21355\n26156 47044\n64716 85780\n40567 43175\n56780 69234\n30107 60621\n30418 31859\n68648 74220\n45093 57823\n16849 84843\n1334 81298\n55673 84628\n47628 65789\n18174 28080\n11321 12474\n58484 72721\n46183 51645\n20259 81405\n5672 54529\n6794 66200\n29710 35508\n8296 17919\n12955 24295\n22346 66124\n1461 65793\n39020 41790\n36171 62106\n19768 60450\n10172 82388\n46285 68749\n30665 81148\n53538 68362\n7034 28819\n45113 55292\n50046 80565\n8018 34923\n8886 80774\n59302 84166\n45684 85342\n771 14954\n753 5120\n24154 29855\n5077 31379\n13425 64800\n29867 38596\n53582 65949\n29993 48708\n4901 48095\n45430 51208\n22042 59176\n2849 39737\n12722 48138\n6453 14189\n611 10640\n38472 82680\n17347 76000\n17111 45185\n79657 84981\n23693 67282\n33138 44674\n13704 43051\n13554 59047\n72457 78386\n59834 71129\n17847 29294\n7267 84464\n6385 13795\n21173 42818\n1607 23939\n35598 57851\n9098 33972\n11540 70668\n2574 9056\n19811 53881\n23682 76536\n23526 39582\n36552 76453\n3172 28867\n19276 58736\n6058 62962\n64831 78273\n12251 85321\n7923 20974\n23053 85171\n17161 63755\n25786 39884\n26181 74697\n12316 70687\n75161 79353\n68019 85520\n23410 82617\n74069 85979\n64020 72323\n66396 82827\n34544 34943\n42150 64917\n14409 69486\n27506 56489\n2259 63773\n43358 55777\n24481 85562\n6016 54942\n52480 54113\n15415 15567\n51465 70188\n77044 85787\n7619 28005\n42429 72725\n11675 47722\n63870 75191\n75722 83067\n48471 49543\n49853 61376\n2721 80284\n46970 54764\n13496 77876\n7390 73306\n7097 57527\n45352 68108\n13246 48461\n34494 62012\n29588 60135\n11942 32918\n24419 52489\n51172 62896\n25952 74197\n10493 14333\n32043 37209\n48315 62439\n32157 52857\n28012 68226\n66903 68067\n20137 46537\n18000 54277\n58559 81221\n1498 71931\n32619 69468\n39383 57170\n17576 66916\n23753 53410\n7753 64742\n33497 72113\n21192 73716\n11777 31884\n56177 77840\n29226 60784\n8242 60006\n953 45270\n14697 18928\n35262 68575\n43434 76475\n30141 68149\n24407 77945\n56840 78023\n59980 70125\n18481 20457\n9641 72597\n46993 75816\n11191 47115\n13978 40842\n44586 84833\n16671 52826\n12039 46923\n33191 54646\n3879 16909\n24550 66162\n15181 85121\n30764 75338\n10120 30133\n5 20289\n8509 34652\n31834 35704\n10772 67583\n24423 44138\n2536 77948\n18341 55668\n18930 21926\n11650 63276\n20218 37815\n52361 74156\n48239 57685\n22497 66803\n49099 64047\n24374 80692\n10950 26222\n13583 68744\n10297 51891\n53926 76049\n81622 81711\n58022 70926\n72269 83178\n51779 74921\n56380 80442\n15856 50441\n79268 82180\n20355 44666\n34510 53294\n27811 51056\n14095 40393\n17715 37613\n38546 58307\n51039 78473\n36543 55225\n24531 38903\n35678 53706\n2981 76363\n5670 69262\n44105 72362\n69518 72068\n9759 78532\n34519 81043\n37782 48650\n34861 40610\n22445 51509\n40849 61251\n71441 77799\n3597 71083\n33719 75902\n25676 83172\n13229 55395\n11177 75396\n50264 54142\n37056 40779\n17320 52450\n26746 27931\n7056 49892\n2927 30948\n69123 76189\n8265 62368\n11639 72204\n4205 5699\n56189 61059\n31611 33503\n62664 69307\n27100 36063\n1940 13088\n4671 84369\n49260 59751\n5654 68862\n16454 28793\n2495 32396\n47647 76470\n46577 77051\n23520 26253\n21642 59098\n50000 53336\n6179 22082\n42346 78937\n21163 83376\n54000 62282\n25727 61131\n46855 73400\n3533 18112\n49691 64259\n6521 29575\n29463 43315\n32050 32235\n75287 79352\n3198 29178\n41246 46890\n42130 68237\n8761 65988\n52232 60120\n55854 61699\n38918 73826\n35182 62815\n69808 74870\n3724 81776\n52889 56008\n14757 70946\n18653 77492\n11982 25202\n36807 76421\n32058 58718\n3396 4696\n16199 74599\n15576 32637\n9561 34106\n70271 83012\n62395 78838\n39241 47308\n14401 36269\n47481 54009\n15208 67257\n7039 77362\n39367 68949\n34087 49920\n10445 56397\n3009 27918\n1310 28962\n12389 35434\n14401 57275\n22591 52298\n52349 57486\n78746 85904\n8045 74270\n7902 17591\n17842 81474\n31987 49433\n13065 37386\n30194 53554\n30530 61047\n71716 85738\n10758 24936\n10422 55426\n43953 69417\n52006 60341\n20053 45965\n65193 78115\n22301 73586\n47522 74315\n62808 72066\n15038 77491\n15255 35600\n46129 67932\n20968 69408\n15779 84432\n49004 67488\n26217 69176\n56505 71521\n10888 28057\n60452 78101\n23867 70138\n5124 78314\n14693 54275\n7772 11050\n16237 70657\n37532 38096\n3343 21365\n8696 77278\n4351 29361\n14639 29311\n12365 23747\n51839 76739\n2158 34664\n16890 37646\n26368 48961\n40296 71691\n23606 49734\n18477 34422\n26516 28734\n10979 43414\n1514 62433\n13466 66736\n21294 54758\n4907 13218\n45445 57186\n32991 72057\n39437 81383\n70064 73483\n44491 76906\n40258 54022\n10326 52210\n6683 15342\n14558 25456\n2873 7987\n9120 66081\n11889 81188\n4610 49453\n31394 33375\n12450 84718\n29757 55421\n6666 24795\n11174 41369\n47836 50593\n66767 84247\n1440 48282\n41723 62279\n48627 57919\n20681 59997\n17808 37964\n39633 44548\n36566 77898\n59585 80255\n46599 79485\n30149 55726\n10721 83339\n50232 74799\n9298 39663\n10197 75935\n42860 53132\n28393 85419\n60853 78921\n55399 63546\n22337 75450\n5105 10263\n7067 66528\n6407 40304\n60940 63003\n40122 56854\n65099 65643\n59935 82316\n3376 34046\n21014 70112\n2074 35934\n3350 85577\n15572 20562\n49074 71233\n55642 85641\n2270 11683\n33133 65086\n63951 84426\n53479 56038\n25059 40380\n61400 82130\n75397 82120\n38815 72242\n18034 59684\n48042 75368\n22866 23261\n24922 82529\n45946 49313\n19806 74695\n37055 57499\n7250 62513\n3559 29409\n34762 78333\n2780 20534\n2647 32033\n19460 26772\n10549 59661\n46690 81774\n1849 23616\n69119 79470\n35923 58951\n80148 80602\n17565 80398\n76256 78550\n12057 33632\n26190 75306\n42609 73728\n39506 74124\n23186 47367\n9275 21431\n29116 80988\n17368 77300\n15983 74848\n13551 13645\n18121 37374\n38893 61399\n5443 8762\n54056 65950\n48814 78866\n62246 80055\n52207 74769\n4868 79034\n43669 55777\n36402 38647\n36892 45637\n1608 29179\n42101 54392\n53858 59303\n23192 79777\n4331 32670\n42843 73474\n5575 21521\n3672 81333\n2579 45472\n51529 73966\n18585 63306\n9759 39414\n38813 84388\n44133 57950\n26785 32567\n16017 64369\n27293 80407\n17919 61912\n36824 85817\n4492 75380\n60558 73348\n25573 73726\n64972 76607\n51939 63869\n1615 45572\n881 31574\n2642 81965\n40061 70452\n19398 45370\n42053 45797\n27696 41626\n5732 12798\n2517 68413\n6627 21135\n23531 81769\n14767 84652\n28958 31335\n24219 30667\n5030 13036\n26981 81066\n3956 65863\n7627 58147\n15437 67354\n26628 81054\n80996 81132\n11411 55321\n16350 71268\n20477 35461\n51520 68510\n18783 50807\n18134 35396\n59173 74199\n20746 40551\n47537 76144\n62615 76029\n28563 41180\n15258 27532\n29527 65166\n40896 49750\n8338 53566\n37025 66830\n17268 72095\n25394 62833\n14191 22981\n21521 54769\n69595 83177\n56165 85188\n39873 56677\n49655 79270\n52257 52262\n71147 75820\n6389 21227\n17196 54192\n56963 63124\n24082 60873\n13492 21638\n1040 19918\n24145 75495\n46794 58482\n50258 62237\n13749 71814\n51607 54083\n32705 60794\n31257 38066\n30655 66940\n6863 78676\n17013 52588\n5265 79378\n9431 22671\n55701 82288\n50202 83759\n1933 41970\n62399 81105\n13988 24204\n22634 60370\n30883 57898\n38606 80435\n7567 23955\n52904 56564\n37445 81749\n19200 48156\n25371 29459\n73805 74269\n62114 77156\n42043 66248\n3608 66395\n28097 33460\n36748 81448\n1814 20307\n481 55193\n61956 79934\n32643 61135\n23205 70450\n1987 6911\n1267 17783\n7901 33291\n16445 39564\n24201 81460\n54218 65903\n16986 58510\n15744 25526\n13932 34220\n25106 48570\n20205 60402\n42257 51314\n11887 37947\n10730 33220\n21754 45358\n48019 68245\n46693 80061\n12747 30572\n8062 22783\n44149 80244\n12503 29016\n39668 68951\n13050 35393\n44930 71004\n49460 57448\n12310 19215\n34642 84573\n47097 60763\n2739 32750\n50028 52267\n65504 73222\n26954 34031\n17925 46828\n37774 54504\n19821 31097\n47297 52975\n2211 29284\n62578 74281\n26665 58429\n43481 72588\n44425 81432\n20356 74750\n46076 53890\n2059 18395\n47259 81418\n76526 80403\n2988 63813\n64896 84168\n27004 46371\n27958 82313\n34149 74144\n72349 85413\n36258 49903\n14899 61040\n41488 75934\n20087 50373\n8001 35289\n40258 44354\n5697 60644\n30485 62939\n16643 63362\n28953 64509\n35028 38608\n28237 62110\n18610 84431\n26257 68761\n52476 65156\n7861 51388\n33029 64379\n16116 49351\n46226 49750\n41918 47299\n426 57990\n63663 72980\n27337 82150\n39222 57331\n31465 72221\n15233 79863\n75513 78438\n58715 71802\n26066 32239\n58244 68155\n11977 20932\n24108 39786\n30122 81296\n11595 36409\n42596 45968\n39949 70759\n9225 24775\n56315 59798\n3399 39537\n23379 58133\n10059 25698\n37668 41631\n28365 60904\n14078 47879\n1079 51264\n8644 62892\n59312 82498\n18196 51249\n50166 77045\n11285 58257\n6463 23251\n15590 40322\n799 47787\n32742 43530\n14625 37855\n29079 50254\n56802 63501\n44414 69419\n28306 48845\n9860 57737\n27050 66966\n27157 41074\n49089 80974\n79265 83221\n46485 49674\n36203 78238\n24306 26967\n35504 43221\n28796 58222\n1774 57496\n40285 45214\n7509 40518\n23517 24640\n28482 65001\n66616 70997\n7619 74791\n761 23890\n12126 28989\n20592 66869\n17139 38986\n37397 82299\n23729 63588\n62334 66803\n54495 74671\n1626 9072\n11027 54978\n15254 77068\n28127 40448\n40410 53421\n59555 83071\n32475 57201\n71622 81730\n33579 58737\n24413 67925\n6471 30794\n16140 69036\n41337 54199\n50798 68336\n17870 61846\n30374 61721\n13189 38685\n8781 49947\n13984 31190\n35962 81047\n27220 40113\n35150 61763\n29411 62020\n13473 30797\n20761 72490\n24342 54313\n27712 80642\n25902 69313\n46478 61469\n34010 71544\n10238 34540\n8435 81122\n49843 71887\n60644 62424\n6323 39743\n29680 50282\n18398 37460\n23372 46761\n4580 20601\n35311 40214\n71838 74648\n22390 54118\n6702 19084\n17069 40709\n77904 82840\n35338 78471\n2432 70570\n19655 50345\n13167 60902\n9853 15347\n41799 80657\n3363 60270\n32590 53151\n44857 68097\n61044 76668\n67279 74961\n2091 21292\n29751 38789\n6718 45245\n12120 36611\n11132 32297\n55346 84660\n4126 5282\n14628 35686\n56369 71711\n14340 36159\n17589 57259\n53451 69345\n6422 24526\n19605 39006\n44674 56931\n568 6225\n40793 83015\n15842 17445\n68073 79970\n26398 39188\n44924 63632\n6568 36523\n18097 69563\n31788 84468\n44164 55489\n6634 79556\n49195 61847\n1360 3192\n19735 28665\n15425 64719\n35802 81290\n4695 76891\n7016 40999\n8244 8448\n20372 65267\n9797 41107\n43738 44521\n37706 79751\n55650 70876\n60540 82593\n1993 2462\n29442 33442\n8591 19223\n3198 32013\n7068 15067\n12757 29351\n18075 83362\n51108 69736\n28849 61637\n39763 81932\n33267 67890\n18841 40966\n69420 73795\n26205 80302\n74338 85541\n52840 77918\n8769 17503\n39208 82756\n16501 39671\n38899 44723\n27475 55380\n52993 65609\n59434 83132\n19882 48184\n38289 56108\n211 49843\n43035 74650\n53102 70821\n59806 64051\n4935 33732\n2820 85947\n18418 53320\n1287 6074\n35018 78061\n48796 70923\n8919 37333\n38881 59106\n16134 46236\n5178 58379\n60949 68070\n51039 53303\n52141 79578\n30532 42766\n11572 30049\n18830 22815\n32012 58720\n26289 36412\n31838 64880\n5467 34203\n14468 81429\n45069 73961\n80278 82473\n38465 78089\n15628 74307\n5833 29057\n32795 47864\n45171 57230\n4803 17072\n3300 57075\n2402 24477\n2271 75110\n32373 44740\n6050 13132\n623 26666\n18429 42665\n5196 68525\n9906 74378\n15504 61635\n49122 79332\n15929 73473\n37831 50452\n20772 84814\n1354 5101\n9220 20793\n18218 70136\n8389 17743\n3621 7511\n6167 38047\n71534 82244\n10722 26425\n64716 69878\n2649 2730\n56050 73907\n11405 52492\n1683 59971\n3509 29094\n53496 55857\n9978 70806\n701 25923\n1179 51169\n51563 75365\n9776 46781\n33082 63100\n20846 53341\n25056 64897\n25790 44510\n19566 51627\n21 7119\n11165 58768\n43356 45651\n45560 56377\n24439 42968\n45330 57942\n51374 55122\n34415 86004\n4849 33825\n21552 26227\n8235 42004\n1925 50098\n34503 35350\n9182 30270\n44200 72358\n50748 68531\n42986 69922\n27502 64544\n18354 33064\n9240 40312\n18740 28569\n13350 53371\n9821 81948\n10586 81059\n15354 20764\n61605 74662\n63261 82959\n1760 40407\n23502 70805\n44591 47323\n69505 71595\n22080 64073\n19858 29379\n13298 82159\n7030 76113\n19204 54299\n21239 44413\n70490 80848\n4445 85650\n7063 27593\n16819 33087\n5355 35055\n39762 46227\n5129 41459\n10698 79068\n50106 85150\n18162 51538\n47591 60125\n50161 59213\n47761 62256\n12290 57081\n27981 66433\n43732 84685\n29184 72431\n28810 81984\n7580 67604\n33234 43739\n24219 68423\n51719 68297\n15480 40446\n366 23805\n2081 50372\n17990 20668\n19031 55762\n21215 50769\n55055 84495\n8818 69650\n13531 30092\n27898 39196\n49696 58358\n13405 84801\n29815 65210\n44286 85118\n35851 50577\n17220 66228\n10914 56101\n57383 68357\n57401 59367\n19601 67779\n29560 51123\n5007 23843\n2907 9460\n59588 85387\n13055 27115\n15141 69517\n2244 51484\n18155 85671\n32867 77303\n29199 74194\n7438 28595\n42121 76456\n18029 27359\n30742 56915\n764 21636\n11286 33909\n16758 61827\n21222 68439\n19382 76547\n22001 45973\n1415 29178\n24564 83888\n62639 70479\n2632 84636\n26951 42059\n9616 79679\n17697 53663\n31737 33470\n26586 65034\n13507 81174\n44051 66251\n11528 64961\n9343 79182\n41467 51314\n3528 35592\n61598 85870\n2933 13869\n779 63491\n5279 64913\n50535 73101\n7921 48676\n9895 69170\n9720 18625\n1018 44584\n64254 80739\n52247 57909\n52795 57995\n10026 41158\n40671 59491\n37924 52942\n12312 31861\n48641 61803\n22236 59810\n46722 64930\n22205 76084\n80573 84034\n13837 25963\n12585 59569\n47036 68721\n23419 72392\n66828 71342\n48312 63358\n24499 34070\n37643 70225\n28318 45093\n18188 60771\n39471 71599\n25371 39991\n43345 51699\n57660 75716\n7954 77908\n1758 5642\n26020 27071\n8280 24479\n15753 56522\n1600 14768\n14974 35058\n17775 55944\n102 56603\n9426 21129\n11552 83122\n13778 41135\n43986 84043\n60179 76458\n6139 77186\n27205 83076\n3922 59119\n21086 39246\n26037 70492\n5775 78204\n1042 39492\n26379 74976\n39502 43164\n51964 66947\n32793 47786\n21483 41998\n39376 72315\n52960 81232\n43624 61069\n54508 85792\n18570 43061\n13524 78355\n12088 82017\n40325 69256\n26100 73052\n73165 78603\n20844 46301\n35164 83732\n68287 70353\n61045 84685\n51430 53576\n51177 57894\n19334 36723\n54123 81541\n38867 54033\n19792 29062\n13231 67218\n62638 67709\n9157 46330\n43828 49114\n37096 64249\n2727 28275\n44175 65939\n4909 62656\n40557 65728\n45002 79109\n1874 69022\n29878 31496\n59577 70553\n27622 69267\n3451 46832\n28303 76301\n19193 81701\n2557 76120\n6286 6758\n58025 59704\n39582 75277\n44948 80235\n26539 38680\n38608 63476\n19332 63962\n51021 74489\n60251 68189\n25456 56076\n25632 74991\n11028 51869\n24296 69763\n40019 79347\n2493 51677\n45015 63914\n59565 81914\n36625 66396\n28129 83627\n2903 54751\n24261 69297\n10827 51550\n20036 37701\n13987 18501\n9851 60389\n70875 85254\n8902 31143\n17771 71517\n6609 22168\n3828 10564\n29554 65748\n10538 55808\n55121 74018\n30393 51238\n34051 55950\n35155 70315\n43048 55411\n70624 76561\n15338 45662\n52922 85852\n48844 58120\n53649 76286\n13533 54623\n32354 85513\n43161 81309\n71527 78748\n56223 74054\n959 79222\n19690 36767\n23855 73578\n8187 24820\n21627 79478\n47509 84741\n31064 83442\n19737 42604\n38487 60183\n16224 25018\n74996 82260\n12932 48630\n52651 60407\n3153 51563\n5428 30044\n63028 84417\n14441 54525\n67708 83877\n12083 58953\n32093 54091\n10676 58374\n41683 42745\n30898 70918\n2780 66544\n39030 81011\n37557 79003\n8936 22445\n44857 51282\n52152 77325\n19681 67545\n1678 58811\n5075 56987\n33890 72115\n6014 62456\n43020 83475\n38924 64376\n53328 65383\n10699 42250\n27506 39439\n15420 46886\n18347 85725\n14235 44619\n49484 54244\n41734 61337\n20393 75886\n30715 47606\n47182 61948\n39212 60991\n29533 50754\n10856 49654\n9303 52287\n13867 25597\n45339 51677\n29343 60901\n2108 8996\n24302 55853\n60787 85005\n49051 78907\n30020 30529\n6532 16504\n6751 78957\n4498 59180\n8081 45501\n22731 83905\n20883 34204\n37670 41542\n23034 62231\n2424 13222\n47219 55942\n25046 73554\n20618 83483\n10073 74272\n22953 54901\n29925 85273\n76483 85539\n57300 81792\n33928 73980\n58967 66943\n44784 47056\n63208 79506\n15060 34473\n19651 77043\n35987 81994\n713 84721\n15355 61254\n46291 70173\n66414 78969\n17654 35963\n44809 58440\n2009 76872\n4014 59630\n33781 65595\n5943 71370\n66036 70617\n33058 70366\n22625 45358\n14674 44689\n11731 38415\n29384 52826\n60592 64691\n63005 85411\n2113 5942\n45752 56325\n28009 73414\n9817 34796\n605 73751\n163 76157\n7021 7931\n41220 74546\n52164 69155\n50499 65778\n28778 55143\n50666 83318\n64924 72375\n68530 74229\n1650 78981\n12576 79098\n63273 79253\n2728 7429\n23085 29479\n40513 43929\n19622 39068\n30528 55533\n6951 46185\n23333 53305\n45379 81941\n6042 34370\n34046 72131\n21063 38203\n4414 62472\n51634 66359\n41385 71937\n13087 61643\n37123 71863\n44437 63497\n44622 83382\n10163 49119\n58555 85185\n48743 52031\n42824 43015\n14962 19050\n9548 65066\n4296 34584\n1444 71662\n81619 84358\n15985 65066\n42141 80262\n25376 76206\n14160 77170\n34797 74950\n17350 44961\n27735 85595\n1489 1525\n41450 62145\n25530 36780\n12852 40459\n49782 62099\n4127 61973\n2486 81365\n6613 10213\n62722 65888\n7761 55319\n1610 27356\n36073 40323\n36386 67155\n59287 63906\n60276 77850\n25665 61183\n17678 18926\n17866 50122\n6710 65412\n14311 80062\n69889 80098\n50280 62257\n77702 85075\n6267 57505\n21868 81902\n32262 72448\n34261 83464\n13770 84394\n30857 79509\n51703 57722\n35329 47933\n37360 79754\n1424 31420\n14492 27459\n38788 66108\n61096 74565\n19877 77353\n24986 45432\n1268 53629\n31445 74436\n7564 66604\n14560 57081\n63910 80462\n29912 47351\n54360 63182\n21912 59467\n18591 62061\n1938 58421\n60090 81878\n1233 71005\n10246 75294\n3740 63032\n55784 76127\n12515 51518\n3758 81778\n52545 63232\n61445 66399\n76039 85645\n38638 65497\n2113 65747\n2270 32032\n46648 70341\n12062 75716\n15621 27824\n14114 35016\n48920 69936\n8093 42940\n6310 25586\n2215 55093\n32586 76533\n44989 50196\n18403 68700\n12961 16768\n30209 49964\n33742 36447\n7562 58695\n33183 76491\n2132 75360\n66846 82501\n48901 79581\n42575 63476\n2647 30600\n8763 26112\n4952 18683\n38230 55611\n19864 69327\n40619 73212\n1030 50962\n2510 84617\n80451 85354\n78655 81784\n7116 23646\n24923 38092\n14849 34428\n18243 28422\n17991 54043\n37908 55812\n9708 79947\n4175 10527\n6501 39139\n44579 61159\n7512 16302\n8811 41322\n6929 43945\n78898 83078\n51020 62556\n445 52752\n62632 81279\n3459 62687\n3987 85384\n3116 77422\n45457 72792\n66918 73148\n46862 55964\n62027 80677\n32713 56953\n58617 75355\n29209 51155\n54359 76442\n11412 85704\n43530 69942\n45837 67131\n47998 60085\n6909 9572\n42922 61033\n52078 60636\n4552 19324\n47443 49325\n9846 74136\n11587 84766\n36364 47099\n74181 74675\n3025 50793\n2607 8802\n660 49888\n32528 55444\n1323 53645\n8173 67124\n6386 56978\n65881 70818\n40395 82033\n15838 51462\n11199 51041\n21437 40394\n18697 85105\n55621 80760\n4158 43431\n41027 59087\n30109 62750\n32623 44165\n44879 54787\n20792 24853\n78404 79536\n20491 63156\n66885 68634\n15249 71242\n3159 62269\n37645 76146\n20667 72211\n6648 74096\n14850 41990\n20914 75077\n1411 28222\n14962 53195\n270 9372\n28070 65931\n13155 21114\n18134 21551\n30297 71664\n29358 40490\n54503 63661\n49503 53605\n62823 70652\n6002 37979\n52459 74951\n25558 76830\n5103 20582\n37996 72850\n12389 59981\n5272 21719\n35950 58802\n9475 28022\n57365 85606\n17042 70269\n26233 26693\n7579 74570\n2215 24529\n37621 68972\n6686 13116\n11114 40098\n48800 67077\n27838 79626\n42769 85614\n34917 81580\n29553 57544\n71565 80537\n31600 59788\n21688 64870\n5078 75431\n53338 73821\n42813 67302\n37305 61077\n9729 85010\n3543 31660\n41420 77523\n8005 21754\n42719 77679\n3990 7485\n5004 70299\n39601 54232\n37009 51701\n5352 20392\n25180 61794\n14448 85059\n29666 85928\n7968 57159\n190 1381\n17582 25994\n7238 83505\n4378 80547\n12673 60283\n32527 37358\n30210 41946\n6554 59531\n28102 38072\n42697 48140\n57427 62455\n67839 81838\n72802 81620\n20157 76124\n5732 43653\n59031 80792\n18912 36622\n57190 75672\n15161 20311\n20883 70028\n18020 82865\n16467 20284\n27219 83462\n6410 10690\n18788 85836\n357 73244\n3366 9854\n3096 21086\n9176 83883\n6932 16961\n35970 46850\n8751 37996\n62708 79956\n43776 70826\n67100 75400\n5245 72269\n63814 65631\n12983 44622\n39072 65530\n21617 48345\n9638 36403\n23162 23825\n37155 51014\n27809 70621\n22146 48915\n52513 59247\n59025 62795\n11727 16610\n21815 56807\n23184 63771\n22632 80287\n39735 73868\n18257 36793\n9974 78008\n28154 55686\n27354 70326\n43332 69713\n30050 56430\n19979 83532\n19506 59512\n6421 67166\n26470 36611\n28509 46667\n2606 6403\n58515 79071\n67672 72865\n21558 62623\n64495 65181\n10971 23534\n1187 33425\n32016 45321\n19067 28864\n21379 70890\n28264 33174\n41904 56748\n58228 82216\n160 68964\n69638 84398\n56147 81872\n22579 56399\n2689 8198\n32734 48756\n5690 50000\n5344 12350\n54673 58651\n30655 58135\n13958 73773\n17155 37369\n78973 82742\n27813 32118\n37425 39116\n10171 76451\n59473 70764\n68091 72160\n27549 52598\n18994 36085\n36534 52657\n70079 80690\n31906 44628\n57090 68610\n16517 55056\n31740 49704\n222 50966\n1177 5437\n25559 39086\n39909 43013\n47517 57747\n43803 61296\n66496 70239\n32543 49019\n45229 52499\n56154 59826\n3930 42939\n4468 40668\n2204 7073\n67856 83235\n25170 28142\n12905 33012\n27612 61721\n16796 59334\n26876 53851\n5319 85051\n22112 58363\n71114 77719\n17182 83858\n15165 41588\n10454 31710\n68512 70202\n44213 85781\n45227 75045\n2265 60418\n46709 62973\n19037 54139\n2448 44560\n25504 62278\n26233 71321\n16805 68113\n13441 57248\n2751 34856\n398 57225\n25853 36252\n11960 80496\n14596 43878\n21097 69427\n58582 64535\n2216 17419\n17298 83965\n57529 72778\n16076 51166\n35589 76019\n15968 23842\n2647 57783\n24200 66207\n28064 71583\n1304 71444\n8297 82870\n15864 82159\n11553 68275\n67706 82824\n38113 73675\n9169 34265\n6969 26929\n2047 73583\n33009 67119\n53415 76304\n22648 59270\n6302 52353\n3637 72893\n33447 70733\n2043 79923\n13983 74911\n58986 82886\n38433 74824\n3972 67677\n1998 56585\n34431 54792\n24263 63712\n23205 47528\n45003 60848\n2899 38184\n24305 55399\n41387 62133\n49290 51901\n42603 84959\n72486 84372\n19466 43723\n5812 14721\n38924 68869\n60319 81523\n14676 51404\n3964 58157\n11138 46517\n50475 61699\n1247 78372\n48240 69105\n32121 66619\n16256 81111\n15109 61382\n3555 57578\n2786 76070\n29089 48740\n38409 70313\n22468 44644\n18310 79371\n47664 51465\n32005 59047\n12959 62016\n30521 54715\n24692 42653\n6955 52819\n25132 63030\n22166 60794\n31418 46867\n20545 68381\n57509 66785\n1732 16336\n45302 84110\n1184 30950\n7175 7260\n16287 40113\n16871 42109\n47909 72552\n26271 46739\n12395 58840\n47225 48541\n13945 35038\n8156 26058\n27249 83198\n5377 8082\n46506 82587\n4265 68287\n14952 65710\n3223 51522\n7900 34434\n42303 75938\n12375 18751\n59541 72153\n29111 60315\n456 16420\n25084 72053\n39699 47625\n30194 45640\n27385 74491\n59488 64825\n452 37255\n62000 67992\n48857 77464\n25472 53745\n24271 35665\n35660 84790\n18202 61323\n55261 71552\n43962 68223\n40837 55979\n34556 47575\n1593 8525\n14485 25288\n14074 58160\n6137 49679\n18393 82870\n13250 57274\n13262 31192\n5364 25717\n29799 62212\n16601 47852\n40226 40348\n68467 78258\n2899 37373\n31382 60100\n3563 82412\n50250 64009\n59948 85855\n4826 24330\n22884 39327\n46821 66469\n12543 45354\n47894 48815\n7787 8417\n4177 31354\n3434 14482\n23350 34545\n44409 52878\n39486 64125\n45420 67214\n21034 52821\n62495 62625\n16682 46406\n9917 73397\n33725 53219\n12232 35164\n5660 31967\n23549 69955\n52024 70471\n11122 84093\n54454 75875\n10228 36311\n13739 37239\n51773 72907\n1300 23450\n18764 50085\n15975 72875\n38431 76860\n56700 85181\n12512 47166\n22536 56704\n45619 63489\n28346 80906\n29801 50130\n19282 81258\n36741 61985\n29944 40611\n6692 49100\n54819 63536\n37891 78074\n5313 17478\n57592 63451\n26905 68139\n38062 85138\n30406 51146\n15153 37644\n54977 60085\n12626 65537\n41331 45191\n73422 82693\n7003 37296\n38476 82249\n5496 41219\n8386 16310\n44366 47315\n27308 47412\n45264 83537\n42116 52601\n57270 72166\n23957 71136\n26747 43951\n22716 24822\n12860 23579\n44343 79644\n29196 80324\n19310 36745\n8150 37397\n38801 39482\n39544 80401\n8590 25579\n14654 63339\n10629 23428\n28480 84236\n9288 42176\n22037 52819\n15476 45982\n33937 68429\n13799 26611\n48937 69928\n13708 84712\n15321 34216\n61301 82092\n1449 81410\n16222 77795\n35269 78360\n68118 75140\n54986 56610\n57662 63630\n57722 64906\n35629 63131\n50852 63799\n593 82683\n41727 83931\n4642 29038\n44527 85328\n4234 71755\n5893 17275\n38506 47757\n29910 33623\n2133 30363\n29418 35897\n52361 52522\n20205 42850\n12504 16102\n38095 65471\n64537 69414\n15821 81875\n39609 43058\n1155 12578\n58823 79837\n29519 48949\n22662 67226\n27900 35831\n34490 63608\n52354 78414\n11229 59191\n3477 84301\n38970 85371\n12816 71201\n20331 71074\n44836 51712\n2238 61402\n1278 52357\n1172 43358\n57768 62057\n70149 74341\n37803 42478\n46374 52111\n50596 64309\n47904 64147\n34694 76980\n16493 55331\n48931 49756\n39850 66755\n16497 42854\n38464 54801\n10566 70415\n7577 17987\n64834 84284\n2883 59750\n33237 64092\n3476 81032\n2865 77181\n11280 39582\n11665 15073\n24670 34969\n410 17329\n49941 77403\n8789 77088\n7916 38708\n46681 60702\n10032 44873\n30832 53886\n29853 68170\n2628 13120\n703 39363\n304 51962\n16476 70360\n10904 49298\n1249 15806\n14594 56783\n27077 72622\n21420 61313\n53146 65885\n17554 72547\n6594 44546\n31640 70581\n22433 54955\n10555 48853\n61035 65849\n20991 55210\n1450 84918\n11524 41085\n37297 55271\n15804 53710\n41771 49208\n10469 38505\n41652 49374\n26536 80350\n52478 64739\n18728 59196\n68149 80992\n8317 27988\n44867 47624\n27641 48631\n60396 79623\n47288 68895\n26365 67933\n4164 39899\n52981 63329\n44175 63338\n30739 46357\n1782 71762\n70428 79448\n4007 50779\n61007 81843\n19088 43705\n7701 57454\n42981 81931\n8161 62993\n61948 79353\n8517 18706\n25312 45709\n3425 69836\n5073 41587\n46904 72990\n1024 82829\n28783 44110\n24197 64285\n34532 50574\n20859 52071\n2589 61741\n4298 76379\n71777 85329\n4445 47363\n27119 35523\n20936 82716\n13791 60937\n594 80758\n11479 62634\n18948 69954\n20297 68167\n31157 68917\n37098 44338\n3284 18382\n13544 58898\n13073 30116\n7399 9185\n231 34608\n25914 78760\n26379 61204\n28065 29800\n15522 20783\n29254 35482\n62445 85981\n28990 63327\n52998 77524\n6468 76212\n7239 56673\n10477 79304\n17208 46271\n60636 75120\n44338 63155\n30096 54558\n3290 80341\n17846 81530\n33464 70621\n14750 20787\n53880 71157\n25574 80908\n18063 24583\n29083 85198\n46179 72328\n3153 54603\n12711 21254\n15740 56409\n24586 74023\n76180 77404\n47887 61647\n42732 62092\n31648 67799\n2356 78698\n8359 69588\n13207 63687\n29563 42345\n25339 49863\n66776 77562\n17440 53749\n986 9108\n56739 85024\n55070 82965\n14622 76679\n10338 35567\n33736 36258\n46086 52654\n54747 54766\n39563 65264\n1139 13955\n29482 68052\n48740 66537\n21648 37887\n32671 60756\n61563 74738\n39223 54510\n21914 40231\n39719 77706\n22553 46423\n15142 56914\n5924 60926\n31164 65793\n7128 38590\n21221 57848\n39184 39842\n34876 66674\n32670 68947\n23177 40676\n76306 79480\n60816 69003\n26081 45392\n68350 81652\n28861 29330\n23130 35965\n32754 76918\n54253 84497\n4721 18237\n604 61974\n80308 82240\n8436 58029\n68863 85985\n1654 70021\n14678 43071\n32396 72608\n54902 65877\n33593 79646\n61810 64471\n17727 37061\n46909 82171\n41212 73916\n40430 67277\n23695 31220\n58029 67097\n4327 46602\n13984 22926\n36844 53155\n50447 66639\n26088 63553\n76917 77902\n1422 40709\n61211 65427\n21546 70952\n24226 71706\n35750 79254\n40194 63192\n29328 75040\n3763 52082\n41614 83638\n44676 56818\n30420 81691\n3314 85932\n21275 42342\n15447 72728\n14903 69525\n38577 48520\n72109 82201\n18334 32938\n80317 80475\n69911 71514\n7412 66037\n49218 74699\n7861 24447\n24557 27862\n313 81032\n27239 82851\n25691 45017\n18162 30011\n29509 41750\n38178 69805\n45168 52229\n5277 17181\n12554 23031\n36406 64129\n55570 59081\n1037 33775\n27615 51119\n27352 72300\n51610 64728\n56608 83573\n13201 80231\n13614 54611\n33300 58793\n3996 41329\n12863 31792\n29220 46932\n56206 79535\n5958 31014\n50529 81304\n5414 17197\n5892 13465\n23146 72858\n12137 85247\n24975 73351\n65624 70693\n5413 68825\n29815 77112\n15522 43123\n50960 56980\n68381 75688\n18568 58770\n42142 47216\n43417 82080\n45988 77565\n39540 43112\n8510 31848\n25339 68462\n22194 33506\n46692 80487\n24024 66779\n74659 80765\n16905 62738\n373 24947\n16685 57803\n27611 56779\n62944 78143\n9750 72079\n56779 80854\n19195 29454\n21989 60806\n20127 28570\n39471 70923\n7931 61832\n54336 65228\n1533 2483\n60613 65678\n7047 65070\n29404 35053\n60027 83358\n26720 54221\n22691 24313\n24105 76871\n43560 71275\n60581 65086\n5207 64954\n6220 12927\n15393 55043\n20641 41418\n4435 74012\n13753 54775\n53342 65197\n52933 53512\n21234 31961\n20674 35261\n3172 3597\n15394 84913\n33780 58582\n62329 66963\n25219 46982\n23338 65675\n47306 56832\n7550 16392\n21470 29471\n6243 68710\n9718 18502\n43638 69528\n38752 66521\n33802 64528\n14183 73416\n31667 65969\n22451 68999\n4770 71717\n50683 81006\n7238 55921\n986 13925\n18911 39266\n3787 69849\n34888 61912\n38401 41576\n27476 58239\n10976 48128\n53544 82764\n32093 68098\n5325 18599\n5616 57545\n21066 53904\n66840 71958\n41003 67711\n40300 68058\n12911 27642\n21622 60708\n51879 71292\n43686 50059\n61730 79490\n70490 79322\n15432 79908\n44115 77768\n61571 70874\n24772 56482\n26859 62339\n31208 33136\n45719 85092\n1308 31316\n50272 64296\n44978 59781\n4928 30224\n8989 66145\n36633 67107\n3653 19766\n3143 59527\n13096 29149\n1930 42469\n1244 73240\n5180 46101\n1102 51048\n41582 42533\n42435 78707\n11861 48929\n22380 77348\n6576 42948\n20473 46295\n34165 40869\n5299 74933\n8359 74554\n26025 83807\n26858 36614\n21449 43507\n68949 69661\n13292 39456\n8496 24535\n1237 80969\n1689 10920\n64661 76721\n69966 71945\n15061 70616\n15231 66088\n39604 80816\n65816 73467\n11921 16771\n1427 27375\n17304 73600\n12017 54033\n49681 58003\n12651 79448\n1564 17554\n14646 44797\n2690 8197\n66486 81128\n5699 23734\n3567 75418\n11917 48658\n41755 76347\n45634 59194\n36106 73701\n51235 74036\n29173 44386\n23811 41018\n23227 43421\n13450 81395\n1898 41369\n18367 49229\n49899 63345\n57349 78323\n6184 32661\n46964 83487\n17949 60448\n28186 31668\n31686 48646\n21250 42276\n26632 27537\n54468 55414\n14798 31487\n7814 15061\n10445 36315\n8212 68302\n19740 54096\n1259 74923\n5644 32455\n70993 78566\n15833 57675\n4094 41121\n14889 83931\n28877 38605\n10764 51610\n15118 44109\n15524 50437\n34854 69342\n58463 72967\n48587 65492\n9866 83408\n24109 61214\n35950 55358\n823 63367\n24402 55639\n20966 22951\n9934 49508\n48973 83114\n11207 32916\n43531 61583\n70548 84999\n27562 31469\n28492 67120\n67189 80757\n67843 79883\n24644 26731\n52306 69049\n12266 80644\n76216 81337\n47917 84945\n38797 77490\n3708 9448\n4258 62176\n4489 45621\n61454 80710\n25541 62567\n39910 71015\n29969 42675\n62762 64530\n32445 52785\n14774 16888\n31323 58472\n60915 66119\n53230 55759\n1799 7968\n5885 31244\n28262 46157\n74921 79683\n57659 68213\n5558 72194\n42636 61502\n54967 78262\n48287 71368\n78691 80779\n60155 78678\n51335 78090\n73493 78758\n60536 83163\n62290 70370\n15874 70461\n13291 44472\n52075 84597\n1095 47358\n71809 84904\n28615 35648\n12149 59728\n38186 70614\n59998 78603\n2334 43578\n26712 39503\n38732 44604\n22112 72830\n13357 71620\n13836 81023\n20060 64302\n68169 68389\n37625 83579\n69802 82664\n21829 82483\n11243 68727\n8044 72655\n64560 77800\n24625 48752\n77407 78895\n3432 30068\n43809 45878\n13460 37831\n11939 51694\n1875 46051\n77294 80718\n5283 35489\n69172 69828\n12600 77769\n57037 85988\n56226 59242\n25937 41272\n4101 48928\n60509 72672\n19249 22527\n13745 67215\n37887 66583\n18794 27520\n10775 28448\n35872 51717\n70165 82898\n13938 57241\n44941 53071\n60169 61100\n21463 83313\n15081 41759\n20047 75207\n52441 78664\n56632 78192\n64117 78158\n11302 21094\n16027 32781\n46390 61679\n16822 63695\n29547 56272\n41763 68989\n7375 35464\n32669 40853\n41836 82611\n8938 20766\n15094 40075\n39127 69150\n28937 50584\n9427 14198\n46882 59042\n4854 54181\n45487 52037\n42333 55855\n63078 74598\n23939 35177\n23848 58046\n31376 78202\n30916 76960\n70241 85215\n45734 54777\n23487 80731\n43505 70545\n64531 71759\n36586 55429\n11106 31682\n41584 56009\n45204 62954\n60124 71656\n4592 37897\n42233 59955\n11071 22039\n4847 56906\n23666 78480\n11088 24566\n38803 54286\n48885 70730\n34960 78330\n39700 67697\n61561 66089\n55640 82167\n43015 82821\n31163 33028\n42218 52608\n30830 46932\n2830 69587\n6155 21282\n38061 40728\n20660 39007\n30516 74602\n16820 56154\n20582 42842\n16065 67937\n9937 11976\n9413 79669\n19322 22074\n799 4995\n27054 31293\n53863 60240\n2038 26641\n36944 40183\n25437 80450\n21219 59649\n34868 42947\n41707 69319\n39677 48284\n56973 85181\n69867 84973\n25699 81942\n63432 74598\n48180 84622\n5439 34340\n31507 70068\n29077 39152\n6061 32925\n30904 32999\n8506 47093\n45669 47368\n29241 52105\n62147 76791\n43055 64261\n23892 35438\n46650 81248\n49922 76188\n62930 69276\n25766 59491\n24645 31257\n17928 34596\n34238 64331\n9071 29467\n22136 68913\n12308 16395\n38189 42179\n21037 80598\n3315 36503\n20781 59393\n4055 42510\n16076 32514\n22126 29273\n22283 27271\n8497 49054\n44147 53284\n47815 82112\n6096 19383\n6036 24462\n60102 84763\n27385 71841\n43247 46057\n1540 74403\n15111 44171\n6980 25036\n3393 52848\n71652 83576\n39646 45294\n16935 17759\n53233 60069\n25324 34777\n33966 41542\n45204 69787\n20254 43954\n48468 52740\n69586 84225\n16448 45850\n68080 75886\n13764 65392\n70669 81447\n21631 28416\n16378 84682\n56093 79780\n2380 72393\n33955 55299\n46640 62745\n505 27490\n41196 48610\n10392 42167\n40874 42072\n7768 55396\n6189 32624\n10869 36624\n1047 18734\n25441 77409\n9 85365\n23124 31519\n61993 82222\n77089 83993\n47768 85460\n5666 69342\n10435 32363\n24825 54281\n34619 45560\n22692 37673\n46995 56975\n16220 26808\n69646 77552\n6847 35357\n54894 68232\n47098 65821\n646 74173\n8216 20614\n27248 71322\n17753 22834\n30037 34085\n19384 74296\n7374 84842\n3454 81961\n77125 79280\n27989 44846\n4100 27364\n44469 62609\n43733 82359\n18759 46784\n47360 67861\n53228 59665\n68348 77055\n12405 14031\n34417 75612\n2173 8258\n4676 37511\n73412 78068\n18319 51176\n29993 71179\n16160 57475\n20996 58086\n63764 84177\n45819 65922\n12006 29840\n5634 52044\n34506 35809\n6650 15253\n35839 58018\n2088 59876\n75632 78629\n61327 83585\n14565 22644\n3764 25806\n22243 51005\n70685 74175\n815 21934\n4779 67519\n47929 74339\n59578 63780\n31877 54634\n12157 50538\n6435 67708\n40913 47035\n34483 45711\n42520 54575\n3113 13275\n22300 25640\n21830 43364\n8572 32697\n3393 70665\n13328 32783\n45681 76899\n50308 62925\n7835 33052\n32196 55981\n17455 29133\n9172 47959\n51768 55221\n26304 37275\n24073 31790\n2169 63048\n43990 59837\n46171 54645\n8581 22004\n45184 64358\n71887 86005\n14060 77998\n30655 62927\n33106 51896\n21971 79458\n20083 45398\n44105 75060\n35079 73315\n33560 47981\n50200 80576\n24393 24825\n11375 67541\n808 74396\n4993 60941\n7153 65093\n29238 82678\n11192 17227\n41327 69694\n65354 67784\n52451 66567\n30639 52955\n56286 77764\n44741 82697\n35810 55492\n38292 70209\n51918 62465\n45004 45430\n32736 37216\n5423 57414\n79231 82047\n57298 70543\n12153 61391\n30296 75236\n908 9195\n45758 49181\n39361 47496\n16287 30753\n142 73788\n36231 40660\n36183 36595\n14384 70102\n11434 15109\n5195 21333\n11852 17272\n64137 69085\n17057 76310\n19565 46892\n30319 76751\n42864 62256\n409 30989\n27144 54047\n19358 64950\n10370 84704\n18246 72248\n41543 48896\n58919 84046\n5128 56186\n2897 13459\n38301 58915\n28446 58600\n43399 64635\n19452 36266\n25330 84190\n13361 49691\n23324 30999\n84189 85882\n51345 80737\n10473 45420\n6661 69129\n33754 51418\n43777 47066\n59675 82805\n22787 67313\n22481 67433\n27291 80256\n15785 79594\n46267 47501\n45810 76509\n18869 66412\n40730 50155\n20506 76594\n67716 76401\n13962 34178\n15288 42022\n45243 74219\n27606 51060\n69034 71941\n22837 81117\n75985 76049\n76996 85334\n53327 84510\n13056 17857\n21764 24952\n74286 84851\n63341 75525\n16333 31223\n18823 82978\n19990 83903\n23929 84045\n33023 46536\n41984 59173\n39904 72158\n26272 45977\n43488 67637\n40672 69562\n28396 66048\n78500 81495\n42076 53967\n26559 31707\n21602 31513\n1229 82570\n45998 61818\n2207 80287\n15574 85646\n25265 85922\n42469 71615\n16047 30457\n41039 72233\n15544 68500\n8970 40691\n54211 60369\n7137 63374\n41652 55971\n37586 47266\n5648 51892\n12373 34202\n19160 71156\n16882 43036\n79542 84375\n973 52700\n73390 81653\n14162 40863\n49344 68270\n14009 42043\n45064 77170\n17816 63516\n55844 58782\n21472 70558\n66237 85485\n74139 78578\n47956 66590\n21448 76032\n30743 82306\n26235 53910\n8496 55988\n53401 60977\n38799 55431\n13226 15429\n31301 46891\n29232 29619\n46665 67923\n19018 85684\n60052 65957\n21605 56135\n9927 35136\n41448 51562\n6488 75426\n8410 21792\n5771 81122\n9103 64898\n30169 60720\n10360 54612\n48212 52355\n28878 72498\n41600 57650\n14324 42802\n52990 53202\n27719 83685\n64103 76526\n30289 36308\n16750 35005\n22230 59262\n26756 45076\n596 36154\n15120 40753\n29110 58160\n8010 11142\n22136 35195\n17774 72530\n34139 81909\n4325 16835\n28057 48122\n11175 65299\n1798 82171\n21031 61125\n32149 69979\n18321 65581\n50029 53123\n3194 12785\n35328 50823\n18497 69542\n66337 78189\n26035 70566\n16320 49678\n29640 42293\n11981 27332\n4888 20513\n7743 39800\n45971 69203\n46426 60685\n30232 67458\n28134 63530\n13115 48836\n52135 64659\n8002 68416\n24595 69780\n57953 65035\n1948 14155\n69836 73005\n29192 65373\n21502 62356\n44044 52257\n17205 44210\n5211 75173\n23949 31064\n30301 33651\n27180 37920\n32459 33426\n74559 81965\n20678 59116\n32356 38475\n11083 34058\n77500 78893\n15940 27842\n20654 52923\n7454 83904\n38737 69179\n29902 50840\n10013 54801\n30622 77925\n32150 60850\n40071 56791\n8476 40244\n3488 73535\n84110 84800\n36741 85601\n1938 2163\n24974 33057\n32976 37425\n21548 78629\n17619 49074\n31869 65512\n10235 34258\n27831 43142\n7969 69905\n17522 75282\n58858 72115\n24012 47061\n42292 57390\n58954 60970\n17976 40077\n38160 60343\n65284 81584\n44418 47061\n7402 18768\n31192 43153\n16501 74196\n33541 49628\n70067 72097\n14086 16266\n12735 49472\n84454 85932\n20987 50319\n32031 83400\n32628 61835\n10421 33168\n35367 84357\n33777 47939\n8491 84053\n3501 48213\n22992 49232\n9789 51648\n10617 45906\n48028 60369\n70449 81623\n31333 38772\n37838 71942\n22453 64382\n2000 78607\n22675 41892\n45757 59818\n53415 83288\n70817 71724\n29409 35583\n25901 69698\n8950 74297\n49751 75361\n10116 20453\n15141 59764\n14501 70394\n10266 57610\n51920 82977\n759 5904\n29469 50565\n6840 51926\n61331 68582\n31376 80069\n25735 65076\n1527 35934\n4483 33766\n13427 33335\n64953 80015\n15292 45703\n15957 72452\n65964 69548\n50283 61730\n6280 23182\n59503 66655\n35183 81514\n48566 77033\n36393 39496\n43679 65512\n35297 72152\n48572 84045\n12286 28549\n47456 48555\n29268 61579\n4068 29416\n63781 74477\n37766 68361\n14133 55439\n66972 78839\n60255 83252\n43937 57590\n17819 80090\n43911 48101\n28465 63243\n67796 77593\n24663 85159\n25091 55071\n28136 43947\n19638 77663\n25638 66067\n67545 75181\n4811 51859\n58239 71646\n6539 44063\n24924 59467\n4865 75524\n5401 38584\n20621 49862\n20299 81037\n56345 58363\n25619 59967\n66462 79855\n30858 58896\n48204 65730\n77742 83352\n22203 71263\n7999 19358\n2450 30251\n49064 66271\n28539 29845\n27986 74995\n51912 64145\n13225 84906\n40234 52704\n10516 22007\n28393 76857\n10069 45505\n20272 60166\n21124 41101\n6236 58389\n17213 83572\n6435 36315\n14394 58620\n36216 76063\n6232 29883\n32050 33111\n4940 85739\n42028 76645\n9325 82736\n61742 68523\n74149 82150\n12185 80620\n43017 57493\n33261 57984\n8764 30682\n6580 25751\n25652 66779\n20519 57249\n13816 13868\n12774 18714\n28281 75860\n41624 52714\n50745 58775\n24613 75009\n5662 67376\n304 71173\n36002 55953\n7033 20753\n9427 16987\n12351 25269\n34807 55797\n59322 62783\n64615 74973\n41001 76333\n13620 18846\n49341 57883\n6859 24161\n13556 79498\n61321 61490\n2006 75743\n29275 78438\n174 55235\n27001 63899\n67690 77667\n30614 32303\n15283 52646\n65846 65938\n19815 57025\n31222 52532\n52432 72129\n23676 46573\n53930 54822\n29090 80120\n14230 34577\n36218 81024\n8292 11849\n1546 27946\n27505 73995\n20428 49341\n28262 63017\n64041 79866\n16752 28044\n12350 14871\n3063 29834\n17821 19699\n49476 83815\n33135 36330\n3152 26848\n95 31039\n17953 84566\n4525 37432\n18741 36849\n21913 63259\n8329 53744\n51396 74667\n17853 37892\n50150 75827\n6248 27402\n35779 43721\n35566 55962\n68781 82813\n36663 85655\n1996 44697\n34794 61068\n24867 52628\n76032 83351\n10241 49257\n22462 81309\n4724 30539\n15501 16363\n28557 30029\n24376 56930\n10522 85367\n37927 74936\n26619 60058\n26065 46880\n13774 56737\n21567 40348\n46293 67842\n41186 52327\n77365 83684\n37481 59934\n8273 26741\n8845 14497\n6840 52065\n64065 71482\n22522 22942\n49512 57226\n33354 36855\n51910 58425\n40729 44044\n13704 27573\n42499 43308\n46442 72596\n18478 28680\n46385 78831\n10791 64268\n62391 80875\n36185 51245\n17044 85896\n64073 82173\n58954 61837\n7461 27847\n30909 68539\n22287 59589\n49855 74537\n10921 84512\n40497 44429\n53725 82521\n2829 43346\n33065 58109\n82137 83419\n40595 54328\n17159 52445\n27152 84547\n19531 23456\n36888 74191\n41872 60738\n57222 74895\n10670 39951\n48245 67906\n18139 59711\n37932 71820\n77566 79462\n29991 59759\n26094 29289\n12460 56313\n936 72599\n3057 59698\n2973 36211\n73253 85711\n17561 25394\n60262 67751\n27608 68097\n30271 64931\n49129 59396\n29146 34262\n186 74370\n26275 27389\n40057 62665\n20440 27021\n74226 83909\n27348 75991\n41348 80899\n53039 62954\n42956 70878\n25718 55391\n49213 73104\n36134 41619\n69220 73993\n70861 80415\n17302 19189\n64836 73195\n44423 55710\n28091 47240\n4996 65442\n10511 70004\n14501 21964\n21941 77530\n21820 42962\n18071 43281\n8865 20332\n75218 75847\n4220 30319\n43053 78504\n5903 10796\n39256 81887\n17178 44856\n36102 41369\n29522 47898\n37548 52912\n8338 72305\n6083 57311\n16241 62214\n39421 68380\n37985 44587\n17552 62848\n1944 3554\n23384 52609\n16813 66762\n172 69446\n20151 39524\n33195 35522\n49563 51210\n24838 41564\n19615 19631\n10031 44424\n4260 32910\n44805 76499\n38044 54315\n21702 66387\n7588 55414\n45800 69059\n58047 71482\n12077 83147\n69590 74691\n29035 34533\n14214 52865\n8123 70783\n54956 72880\n21264 24997\n1131 62758\n20374 48555\n11189 17724\n10686 12923\n1128 1328\n17241 37818\n15182 64204\n41033 57732\n13061 64825\n875 8488\n7736 68230\n25049 84691\n78997 83376\n17359 20983\n24063 43562\n5890 64267\n21381 85372\n22786 63390\n5710 44182\n51784 69006\n25933 38057\n16730 65874\n11880 13158\n20542 57548\n59935 77885\n23312 65268\n34400 48862\n26211 50409\n2327 20319\n14309 19933\n2844 78923\n50284 58642\n24014 60180\n25633 78773\n5926 67110\n13496 76619\n42724 42731\n5548 78349\n37729 70660\n38604 81504\n35435 79771\n60179 83301\n26242 52662\n52291 56056\n6140 6483\n67348 73183\n30692 43037\n72538 75585\n27152 42043\n9544 49830\n60086 81013\n59745 61495\n20635 52358\n9164 34477\n31882 49724\n38537 83957\n2808 32145\n2705 81006\n9357 37724\n40335 85239\n30867 81006\n2776 31862\n23086 82831\n35672 84664\n11041 16907\n22508 55433\n59662 73847\n10256 29927\n40388 68612\n10839 59369\n9790 81506\n26846 65976\n19808 56223\n36500 65476\n23991 31228\n3238 26762\n2829 29698\n16057 66804\n2861 67068\n11135 22999\n5355 82820\n48934 65549\n11358 67182\n42531 62455\n40657 46589\n50183 63168\n42982 73635\n27038 35476\n60523 60962\n28950 69426\n5767 7462\n67745 70574\n5062 38843\n28412 54217\n32331 51142\n61258 69396\n60308 73725\n33000 83780\n60872 83534\n66246 78034\n9832 32097\n16555 31218\n6495 35978\n38047 63104\n3315 31241\n4833 79791\n30653 35879\n13830 71289\n50100 65776\n19928 80853\n16561 46498\n5264 56400\n12730 27245\n8931 22857\n17082 22496\n41859 71290\n42581 45358\n7640 74821\n8939 15825\n1584 33147\n15496 62003\n49808 60419\n19195 72229\n54983 71021\n24446 57096\n7946 23475\n3878 13439\n63842 81276\n33474 85119\n38315 48339\n22973 35300\n47112 61405\n62400 73093\n21144 80352\n30068 36881\n5878 56304\n7811 11642\n10760 68821\n62385 65442\n53841 71981\n26305 38382\n42827 84752\n80883 82442\n113 1655\n31292 36036\n44598 73274\n15830 30049\n41443 44105\n14296 25579\n11265 45038\n62328 85244\n18858 78727\n14585 50682\n27399 48771\n66244 70561\n172 8742\n46745 61145\n24827 67671\n15275 78469\n20431 20740\n31362 32400\n14498 37857\n208 59023\n17216 41457\n2941 37959\n23532 30629\n40261 79869\n20533 56181\n787 54773\n34155 52728\n7674 53500\n29835 77400\n37619 79618\n12073 64037\n3625 56608\n68127 76753\n53748 67439\n58158 66269\n32305 34061\n23859 23876\n19299 58315\n32565 72950\n154 21273\n30280 32775\n52555 57669\n28529 40659\n16814 37243\n54225 56305\n13361 30739\n10357 85423\n21163 84700\n42188 45715\n30720 72294\n60823 81172\n58793 70744\n3461 15852\n31307 34860\n58646 78319\n32014 63553\n33559 67989\n75778 81610\n35816 72860\n65401 71885\n44984 62673\n9395 46327\n14107 62181\n50395 51433\n37010 75492\n31905 35656\n14478 77027\n48831 83899\n54884 71953\n70250 70354\n16750 56755\n41351 53860\n18087 48011\n59845 66927\n54400 81828\n60930 84798\n57017 71381\n44426 57135\n2442 2811\n21944 39440\n134 77411\n11660 40679\n10274 44024\n20101 25355\n15485 18596\n23307 27953\n19144 68557\n25764 61026\n4789 36709\n42703 73523\n1069 52412\n24836 69586\n13336 13676\n36328 49473\n24872 42343\n36701 43185\n10197 61186\n27538 80378\n29421 63844\n66728 70397\n9878 53634\n454 58467\n65222 78159\n64144 76548\n36186 79619\n27928 50493\n37182 85031\n46464 52780\n51089 56198\n24295 53218\n797 61916\n25670 48296\n7750 18550\n55171 70325\n71764 78660\n2630 50028\n18905 43479\n27095 40164\n49419 63249\n4178 85910\n75053 75787\n74438 80599\n35658 81238\n14067 34445\n7621 55120\n5616 64442\n8267 13437\n38032 80298\n80277 85004\n14508 60242\n18413 55772\n30305 54026\n34444 83447\n36281 51801\n56522 73641\n62456 64663\n7821 71250\n12735 54147\n11638 27110\n26253 63731\n2996 75232\n63618 72692\n6582 77161\n31517 50527\n57542 77511\n35802 65375\n8786 79972\n11638 28060\n49614 66288\n7527 42936\n25576 71567\n29980 36519\n9965 38016\n41776 58968\n48124 78678\n53481 68403\n52888 72609\n23961 84704\n64804 85984\n1529 14018\n27896 74054\n22575 57277\n61387 70482\n22092 81309\n6549 63052\n80710 83086\n12833 59700\n14991 43525\n37342 54566\n15560 50182\n66904 77532\n33516 42500\n37062 59716\n40243 65575\n54863 69223\n45081 78430\n15564 52828\n76840 79590\n666 62098\n14632 58051\n9352 37439\n34498 63565\n29649 34020\n20655 41698\n20929 41116\n16328 36166\n45673 81134\n36982 75633\n39953 54231\n31702 74174\n19244 60710\n11478 74508\n16178 39385\n28685 51077\n18748 20078\n61227 74967\n14462 28465\n9094 13440\n55938 73189\n46437 57913\n17191 69409\n15455 74245\n13843 14932\n28895 29187\n8114 66502\n15566 79526\n6653 28611\n18940 68609\n49404 78406\n10920 18730\n18462 52543\n50687 66730\n31606 50884\n45239 77097\n21401 77497\n69834 71411\n11843 55876\n20655 65336\n19814 24409\n6225 59999\n9675 15688\n28196 76706\n9070 85304\n1509 76400\n69583 85680\n22538 56410\n51346 70316\n54626 84228\n27742 64194\n44883 47913\n14745 42203\n59503 74117\n6682 7931\n41956 58432\n18114 21926\n15232 57838\n37002 72888\n6831 42063\n19503 74869\n31211 53335\n51213 61040\n1780 45714\n52059 61695\n15367 39490\n1915 38272\n1968 81285\n67895 84535\n37298 45320\n24989 31654\n8709 20550\n9047 59171\n25703 84904\n43622 63588\n59934 70553\n7870 56791\n14415 73443\n16859 21229\n75701 78958\n4463 13015\n58088 69915\n4747 81515\n35539 53044\n47186 54243\n21482 70334\n19745 63854\n19929 74107\n27511 54691\n6515 47793\n17328 57076\n5312 24978\n22106 50664\n4660 11563\n30803 65304\n20240 82490\n11019 50873\n17819 18379\n18212 29047\n2142 64976\n302 68902\n2542 82608\n2014 61056\n47209 72443\n19914 71835\n61993 74972\n49866 52918\n47412 49938\n6258 14035\n2822 36482\n13532 18640\n7708 66835\n9849 45334\n23616 54520\n64894 69609\n24462 55763\n34710 66032\n12171 62700\n46136 76973\n41875 55822\n1657 10360\n40509 53360\n658 53959\n12206 75805\n72410 80692\n47070 63553\n23440 37015\n18568 85654\n30469 69654\n5154 42530\n12354 21694\n23547 80457\n43985 66987\n23520 64547\n4139 34643\n31515 63349\n23098 68886\n8051 42325\n22655 49316\n31430 51378\n21807 27644\n22631 52063\n4464 77755\n22445 37084\n55873 85405\n81238 83850\n9312 50412\n5233 63890\n19725 54014\n3201 67384\n10920 39221\n13100 28619\n25588 65986\n7461 7857\n17254 23438\n14960 24364\n26324 56143\n25706 72290\n36690 55524\n19771 58336\n36131 39680\n23380 48194\n59081 82822\n43786 54601\n70415 71693\n2491 27960\n12065 32359\n28296 79602\n11393 31813\n21810 68896\n12115 21977\n30606 47402\n17419 69564\n22667 59548\n46590 52697\n46948 69738\n48612 50984\n8052 30409\n32112 68954\n38116 84249\n37158 50924\n18013 80437\n29523 84758\n6990 55718\n3791 80149\n46680 48050\n10507 72638\n3205 46889\n22837 23055\n37149 65691\n24956 45977\n30059 54363\n45861 65033\n7485 79217\n36207 54541\n5300 40349\n5496 66338\n1032 61293\n17647 22902\n8998 43453\n15221 19770\n22574 68278\n4271 63919\n27415 52555\n14616 46049\n65411 79166\n68420 73179\n3092 72918\n7070 45764\n14243 17522\n72810 80953\n56826 56847\n30876 46357\n25610 67116\n3206 5503\n23948 72781\n34697 77494\n15711 63642\n44282 65941\n21927 68238\n769 47025\n52752 77265\n20398 64324\n27761 59472\n20285 76186\n12138 29053\n13284 82805\n48981 56415\n31580 71759\n65812 85040\n30141 30609\n33101 35678\n14295 58451\n50637 61675\n1038 77886\n1673 49510\n22492 34224\n11165 57328\n60406 82132\n26427 80181\n27984 37193\n37973 50862\n15192 73393\n1196 1687\n1901 31082\n31580 63521\n58017 80215\n15739 26598\n18699 26238\n14747 60993\n68377 69446\n74157 83930\n64426 82209\n41824 53032\n33712 75994\n6738 84436\n33884 38358\n70021 74306\n56460 78606\n5102 30437\n52035 59084\n11252 61273\n45094 70709\n56298 80883\n12912 39594\n44620 80552\n39096 83441\n20879 57969\n73897 76836\n37709 50714\n12377 34678\n31279 52828\n34374 39305\n20929 49575\n22740 54624\n21814 43833\n43630 65883\n13741 66976\n16464 82367\n35284 54610\n1093 55882\n15822 24492\n23890 64695\n14762 73528\n51209 62995\n12084 70570\n4319 35123\n44669 50292\n22409 80615\n15007 39331\n62255 79958\n14535 29705\n6597 79914\n9934 75516\n58756 84834\n50238 56866\n41416 43852\n46304 50904\n12213 60068\n18434 35412\n4893 51467\n9603 42500\n43131 54181\n5677 12669\n5248 10367\n30424 58417\n32083 46742\n52516 58617\n3340 62391\n6494 22636\n1201 79335\n13413 54566\n14196 48060\n17325 39603\n11899 31912\n42779 46377\n34718 45363\n40947 53012\n1228 17850\n17978 28446\n41781 51831\n788 15923\n9308 26630\n18288 38407\n20212 68760\n43675 63043\n26271 57960\n14773 21333\n4348 75991\n49447 58616\n58064 67461\n49283 70981\n580 36517\n26026 76749\n48170 74545\n7072 56743\n40033 42803\n54815 74223\n60916 78900\n18574 46819\n758 74261\n14142 40396\n26368 27069\n21670 50118\n23432 44393\n4254 79906\n21252 33480\n50261 71053\n62966 84845\n46278 61073\n22364 23506\n8747 39050\n35866 45466\n73602 80966\n27637 63090\n14751 38576\n34256 53628\n63449 74117\n12102 67014\n26424 46581\n39606 58092\n30552 85559\n26676 82215\n1989 53153\n2569 20820\n53916 70594\n31058 57457\n29286 64359\n27998 46714\n43417 76145\n18753 84040\n64853 81534\n20360 33857\n28954 55643\n21293 30288\n43148 53257\n62990 70084\n41710 57468\n43476 79687\n13669 14604\n66665 69605\n35244 37568\n34965 75994\n19004 34311\n10614 67310\n7253 27041\n81964 83895\n70340 80058\n21505 50544\n1605 44368\n16953 25664\n42461 59604\n6875 11714\n54703 71240\n21135 54204\n16508 75000\n12965 50538\n15733 55559\n22603 77314\n7921 32557\n33367 68470\n48854 70357\n48897 53196\n10494 57214\n42689 64422\n25263 55855\n31232 66778\n60065 72950\n2382 85523\n38378 64510\n34970 85659\n8760 80854\n47510 63602\n10622 84451\n22079 28306\n7721 46387\n27922 67816\n6321 30670\n18752 61321\n6127 73653\n3397 47204\n43711 49051\n21509 29091\n2273 64111\n73345 81559\n63144 71134\n3062 23736\n31845 60760\n25738 43506\n57271 67791\n49260 72160\n3078 44966\n24582 41112\n19194 20432\n10735 53146\n17302 57521\n56417 70041\n9784 11054\n8515 69758\n76157 78346\n35655 49880\n23215 35657\n28586 50652\n57026 69546\n38595 74172\n4572 21551\n28209 41198\n22387 30676\n23948 33090\n10011 23427\n30161 34235\n6546 40229\n19156 43434\n39147 49329\n19814 43465\n14272 69757\n10413 11616\n15679 85936\n1108 85725\n14271 63233\n14353 20557\n30819 43106\n65991 76247\n23573 39497\n11701 80095\n60086 61052\n10815 83305\n39721 68751\n39365 52840\n1414 29315\n67660 75006\n65793 69271\n30071 37095\n28179 54509\n17874 76807\n39001 50542\n4450 5994\n29014 67735\n50022 67161\n14636 41370\n32977 39134\n31813 80826\n41928 48511\n37189 43281\n5512 55562\n35994 75259\n10051 48178\n63179 84614\n18699 60910\n54113 65278\n10168 49813\n16439 85623\n36297 47893\n42662 78901\n5076 84585\n41902 46176\n60252 70796\n52835 60283\n10323 41997\n1651 30225\n45380 81238\n6320 40872\n33724 61106\n35351 82094\n41452 70305\n25630 56829\n70627 76004\n1174 21983\n42636 81250\n46815 55287\n26587 66705\n3222 68408\n46318 63080\n12028 58601\n354 9057\n25709 67609\n35147 75980\n3015 56433\n55337 73514\n12665 67815\n71712 83678\n3492 34038\n9585 51151\n59217 76351\n13466 17060\n63742 81232\n593 82315\n4753 47384\n7872 41305\n27561 42856\n6210 12203\n29491 45311\n35658 66296\n30212 38224\n29298 43699\n42268 59647\n66574 67202\n4137 76790\n16441 57125\n69834 81249\n12430 27343\n8740 9336\n41509 73244\n55495 62661\n34141 58092\n15653 37589\n33672 68334\n6430 58667\n38597 67546\n11790 53126\n38813 52453\n39700 68585\n57593 78043\n46908 73161\n54874 81826\n56953 62195\n15559 81948\n3134 44574\n76947 79523\n1166 78184\n6334 30794\n32250 43023\n7177 24020\n36017 65504\n35821 38709\n13247 45822\n81017 81710\n75862 78999\n28829 79725\n49368 62922\n27816 41649\n18744 47924\n73019 74563\n36679 67033\n27050 42942\n3290 31497\n54640 65410\n52050 64537\n55415 78236\n16149 40118\n1664 66779\n7829 14871\n9444 56035\n70371 72687\n58171 63842\n8029 26115\n46098 78023\n8966 9218\n145 79350\n43931 73049\n7688 81898\n81678 81726\n28408 84182\n29487 76454\n29338 53799\n13272 58681\n56965 74363\n64360 84368\n69016 79015\n8748 10510\n6517 82473\n570 33559\n43328 64275\n26075 51281\n24043 40116\n17949 75890\n45806 64925\n48689 51788\n26641 46241\n32788 60915\n38651 78274\n8032 69608\n27337 60626\n22810 38054\n21586 22999\n67597 80820\n3879 18719\n4891 13884\n270 55464\n7420 69316\n10665 77296\n28363 29833\n952 25891\n8039 55581\n2032 69674\n28145 80760\n71422 77841\n7031 8792\n26395 70721\n7079 24731\n63373 83318\n59802 64894\n35627 53416\n24000 35434\n56653 73150\n56986 81033\n23287 42914\n64314 70025\n14297 71803\n1609 60408\n18670 39958\n36189 57142\n46418 66491\n22193 24366\n70699 75886\n41609 77239\n4008 39819\n14565 25487\n66713 80759\n24959 39808\n32892 38527\n2886 18529\n4987 39320\n22880 24253\n24504 78297\n36593 36743\n41671 45328\n33103 39560\n42870 46739\n19685 36309\n73037 79385\n32210 47831\n3971 34259\n38779 73506\n47694 72317\n46907 76165\n12008 31442\n19664 57430\n23280 47692\n4992 54656\n5628 57581\n65672 72741\n44568 56695\n6520 69021\n22149 57978\n45462 85308\n29278 44333\n30898 71122\n9528 40686\n39131 77834\n60025 70496\n18 47805\n29614 52315\n33810 34032\n13788 57557\n5097 6428\n60462 76590\n69517 79098\n29298 72816\n19706 70970\n5410 66399\n13452 74491\n31322 72709\n26735 71682\n570 14022\n63183 64311\n73424 83537\n1550 62504\n20623 50395\n5494 13465\n5986 76743\n18412 83993\n41781 61011\n38454 47988\n6449 18016\n41697 44680\n5483 32831\n2754 62996\n18817 25606\n71738 83906\n11253 59040\n63518 82889\n10853 10960\n40 14894\n28347 39216\n31623 80893\n4599 56543\n26917 47766\n8705 43031\n64445 72030\n24028 80548\n24589 38671\n47971 78614\n14604 67123\n17181 36963\n63819 81086\n13569 61425\n51720 84077\n15571 68876\n7736 28035\n9233 53895\n23707 55004\n22166 73146\n5751 78720\n2392 26053\n27701 53150\n53730 85352\n4512 50850\n27858 30758\n12005 29560\n26017 69796\n35729 78662\n61459 84026\n14071 32009\n736 61281\n38473 47941\n11316 77228\n21571 76037\n29427 69610\n1852 30966\n8926 77627\n19573 45523\n393 74407\n50179 73357\n4285 41060\n41309 74245\n31501 58104\n31702 32974\n9435 45385\n28162 75564\n51543 69505\n492 51650\n39712 60367\n20671 55091\n4607 70762\n12151 71267\n10943 63121\n27395 46149\n72058 75146\n1004 27139\n20212 61256\n67012 83912\n71496 84180\n17248 69285\n20188 51106\n69766 81213\n27787 76015\n30515 45293\n38883 80338\n64612 68224\n5536 7784\n40873 48354\n1724 40230\n28375 78144\n43838 82052\n20860 55381\n2258 56442\n17866 26806\n20474 74335\n20205 75441\n55633 71664\n7731 31083\n11263 49384\n47970 49509\n31037 81600\n41318 45395\n29625 55070\n61295 80182\n34576 48891\n44095 59633\n21752 43638\n34642 73160\n28468 64213\n69082 77029\n50380 60467\n3284 24015\n13831 79471\n11834 47197\n4801 22608\n47234 64854\n40575 49922\n4214 39506\n39742 40333\n16484 34286\n8483 51687\n67361 73742\n30330 42544\n21015 85230\n66133 78479\n29762 72395\n50272 66817\n33326 48556\n23486 31082\n55443 65702\n3797 41003\n41130 51388\n512 78192\n39353 44749\n39216 77216\n11722 72789\n18895 74516\n25663 82025\n37962 75161\n20241 30625\n19185 35600\n114 83605\n51037 57419\n7101 30588\n15707 19468\n20332 72515\n54175 76375\n12154 51559\n34513 34990\n7026 48114\n36787 37454\n15543 74536\n20822 73731\n22104 63426\n3474 6678\n5568 7973\n1268 55770\n44967 49124\n25548 51415\n79518 85181\n80581 82245\n23877 53339\n31292 79340\n84157 84220\n9549 61683\n7894 33553\n629 75420\n15209 62525\n19081 38843\n5973 49845\n812 62889\n35851 42858\n33651 64676\n29574 35180\n1150 26092\n16601 35074\n35836 54281\n13056 52411\n29381 42738\n259 49712\n27880 70548\n32002 53155\n61668 64674\n28552 37698\n57034 58489\n71711 85941\n3425 24916\n39905 50676\n3586 18545\n15148 83480\n6399 57885\n28658 33971\n60152 71626\n2762 4066\n24457 54841\n20098 54143\n10509 80350\n49396 60853\n29595 41184\n9280 53428\n585 15614\n3310 74012\n863 42874\n5002 19591\n22253 67619\n27020 68266\n32352 43066\n22387 43455\n20527 33430\n13860 20738\n20560 32555\n6120 7491\n18967 76737\n36912 50360\n65260 76401\n6383 69950\n1996 66595\n60830 83453\n25306 34235\n37036 71896\n24692 37410\n7681 67207\n4749 66594\n30989 71704\n12607 53494\n1285 25990\n10268 32069\n54095 68359\n15268 16406\n36364 59651\n12458 51808\n18566 27803\n5284 6891\n3102 49846\n43989 46034\n10959 58907\n51780 85535\n19283 48824\n30554 48855\n31862 68241\n14992 78466\n69783 81611\n5481 82611\n59559 79672\n44680 50884\n32239 66774\n30565 53967\n20791 26418\n48088 58754\n34286 56327\n17530 30407\n7628 23487\n27390 47100\n23728 66094\n22904 28321\n18699 36191\n33709 68280\n37585 55050\n45234 76107\n22439 52914\n24404 25344\n5302 61206\n3027 12327\n31461 74810\n3421 40565\n27992 43424\n23282 32497\n11616 26893\n74673 75905\n17418 71970\n10325 70108\n28178 40311\n25330 61573\n24827 40215\n38661 75082\n49382 81681\n78515 83093\n23668 79872\n13370 71963\n5407 59399\n52734 67699\n28738 38396\n29135 83980\n1859 8681\n23696 26597\n35274 60417\n2406 9112\n47407 66090\n12397 39301\n17327 65075\n46120 52697\n31323 38165\n54719 57709\n43608 63354\n8840 47903\n23791 71350\n5783 69567\n23094 25832\n61382 79219\n12307 16907\n6276 42542\n61947 82086\n50936 78277\n46238 50084\n53769 74445\n47885 74712\n52370 58162\n16336 67630\n17138 63597\n21355 73256\n44257 51972\n29657 32425\n5819 23121\n45616 66437\n27429 29698\n22060 70861\n28436 39664\n18807 47455\n17928 31124\n709 82981\n18145 37174\n28298 85381\n6372 82087\n26874 71043\n4232 57138\n33369 41670\n35107 73527\n15243 41355\n48745 61048\n30096 46638\n22959 68826\n38766 54457\n33503 60991\n2178 54824\n23659 74533\n21809 69885\n37125 65790\n4262 76747\n14267 68189\n5825 62175\n61752 64448\n5150 49597\n57543 70915\n3373 31654\n21161 44129\n17501 84572\n16067 23856\n4675 12304\n1654 78004\n42283 79362\n15832 61449\n31364 76368\n34302 61316\n9442 83251\n11372 41690\n16727 28175\n36019 61096\n2502 11098\n13702 45226\n28203 65037\n38176 75260\n65151 85008\n65295 85393\n20976 82286\n27296 61661\n39999 82146\n19588 42491\n1002 38619\n25022 57072\n1448 26864\n4787 17513\n13092 50505\n21244 34957\n58615 84895\n42930 58504\n24997 61379\n2869 39229\n24814 55121\n50162 81202\n32619 64248\n23334 71809\n7087 20761\n15442 30167\n9419 73432\n26384 83400\n3910 82202\n27757 44810\n522 83834\n47735 60579\n53710 62418\n7115 34562\n75714 85843\n18693 79592\n53595 80645\n16309 17229\n42655 67685\n52380 85580\n18732 54098\n2918 7128\n19054 73675\n16272 57202\n9240 40895\n8851 52505\n35705 72146\n14024 33970\n23583 24831\n42016 80405\n5635 48554\n29227 82778\n73583 78944\n60182 84511\n17081 28020\n13241 23070\n66074 72322\n77879 83415\n71853 77399\n20129 23929\n68320 75824\n18704 70941\n74929 85685\n25398 85654\n40039 43884\n33936 68295\n39127 84517\n31065 73340\n30599 64403\n8625 60666\n20842 45158\n23224 24854\n20951 74274\n2163 20974\n19326 79802\n16999 54014\n16268 65747\n13055 13684\n35607 73567\n49125 79791\n53140 72734\n60291 63143\n27381 64654\n9801 46429\n22053 43956\n10756 42034\n6887 43545\n24126 69237\n21396 55718\n73148 78781\n47554 48725\n3905 15074\n79069 85235\n19388 60642\n40619 63416\n42873 56880\n2498 4046\n44896 52747\n17274 52325\n27831 58946\n7573 82967\n11146 50668\n16463 20744\n16491 46254\n57927 69845\n60942 71512\n1355 69625\n37343 81154\n15026 51379\n48414 65323\n3460 6069\n16457 70018\n21561 77948\n37177 42800\n17557 25062\n77893 85004\n59298 72357\n48509 84103\n10130 74053\n57221 57750\n21309 74283\n6943 30150\n44640 56335\n50992 59028\n61768 70141\n28665 47754\n38392 64764\n79647 83153\n42607 52805\n54721 58868\n9630 16751\n55854 61259\n44452 79232\n7594 26130\n13251 47434\n45793 67310\n71311 72740\n18187 57773\n51777 84611\n11411 23986\n53820 85437\n3561 54302\n11879 74161\n27601 58237\n44762 51823\n16521 21441\n66539 72250\n847 82112\n50010 61133\n41935 72762\n46787 75481\n40825 45477\n23327 76695\n5009 25270\n22830 80054\n4622 16346\n7377 11588\n45601 46191\n29719 79499\n27285 67093\n43378 68135\n421 4484\n3711 43877\n36390 37852\n28214 35723\n52333 76868\n1430 7953\n3934 60506\n46404 76235\n20789 36153\n23863 63152\n34422 65242\n12534 40292\n53528 63076\n34787 55576\n868 9592\n27671 71612\n16695 35026\n3602 42266\n16437 60489\n1827 51577\n7018 32322\n55838 63639\n33799 73433\n6561 17059\n31930 71782\n10668 75023\n20352 51298\n33815 60840\n68242 81035\n1402 59037\n15103 84139\n6812 13354\n3520 22009\n37852 68073\n50016 81503\n38377 48082\n4535 52770\n789 33670\n9193 25904\n27900 53619\n43165 43678\n30897 76016\n20137 64350\n22582 60563\n57471 62692\n54723 72429\n45060 62537\n14181 82052\n6949 64177\n13051 60513\n7560 36549\n40093 72413\n8777 84914\n2154 5142\n32530 32967\n8144 49469\n68113 85017\n58824 75067\n26425 40608\n10397 70737\n9726 33116\n25847 61608\n16203 72710\n27588 57863\n20397 21660\n65337 85195\n75515 84000\n20860 33920\n25499 85945\n32336 71172\n3255 73531\n40916 76639\n21135 31405\n57829 59225\n35263 36147\n24366 32517\n41382 55475\n72958 73494\n28153 54954\n52396 83503\n22006 26509\n53492 65588\n19009 76644\n37426 57128\n729 31436\n49944 62720\n69304 81867\n40930 84893\n30390 51185\n4960 54819\n20317 35650\n45528 72647\n17551 80216\n20589 34488\n22898 75483\n7857 41764\n52969 53191\n47701 57508\n40489 60361\n6642 25658\n13300 67779\n2757 64390\n7110 22335\n31723 33142\n4465 11404\n23996 51697\n29561 76138\n63191 67085\n46710 83079\n11197 55731\n40962 81996\n31969 54010\n10669 13067\n9484 33961\n51077 58577\n42162 75711\n31028 51508\n28155 82057\n31780 41473\n27763 85244\n6652 13248\n20069 64347\n21979 65514\n54934 80967\n76274 85641\n33564 72661\n20113 42351\n4359 19893\n38146 45822\n31063 78840\n958 3719\n28111 85157\n31280 76990\n61512 75586\n38223 58048\n37510 62839\n23887 60495\n3140 67509\n6041 38546\n30930 51817\n21284 32113\n1163 30683\n53185 73648\n11270 65694\n35210 67050\n74095 80786\n8232 78150\n53693 72727\n63142 81199\n50178 65111\n29462 51146\n60255 67527\n6709 22940\n12398 46186\n44617 51209\n29531 40974\n17365 22089\n12579 69251\n10995 32354\n50147 63877\n18448 40251\n27849 51905\n23557 33984\n6094 60780\n42391 79543\n52802 73134\n54696 77702\n28887 58411\n20470 56591\n37058 85181\n175 44971\n12523 54110\n17065 72863\n84061 84238\n36947 38738\n12671 29557\n1720 75608\n3605 80134\n19331 67267\n9116 29616\n9987 44698\n10878 48667\n28624 47106\n63496 77852\n36514 62764\n53638 85770\n55318 58193\n3639 38948\n11035 80644\n6763 27431\n25817 43847\n38239 42282\n27412 68090\n7333 45813\n41410 80858\n36513 76830\n46578 54364\n30955 39193\n13576 14104\n43693 66345\n25385 54207\n13502 44438\n65698 68390\n14661 36633\n28032 70751\n61685 63598\n19402 58777\n40178 57950\n55965 60474\n46584 65552\n48125 80224\n63398 79464\n46368 78929\n16128 64079\n47051 61089\n14023 84969\n37120 77850\n47451 81554\n2483 6331\n7785 23179\n47938 66021\n18471 48173\n63110 72727\n14581 71968\n18828 59871\n39254 46188\n6666 72530\n11072 45133\n21714 80827\n12033 36172\n45715 64684\n9626 69768\n28615 71937\n32722 73411\n5331 52086\n35826 48056\n24406 48287\n5121 54684\n27427 68925\n261 984\n45458 60282\n53170 83470\n1389 61493\n1092 19642\n33867 59654\n48305 84504\n63430 64301\n11205 71116\n10475 46115\n65759 83543\n11858 43411\n16159 25562\n11444 73911\n10630 30209\n63727 83060\n10566 64592\n38830 79952\n7213 72409\n45768 55373\n36456 59514\n12821 15241\n27715 30784\n236 13677\n12614 49088\n24198 85164\n10460 56182\n5516 65911\n43519 53456\n20578 36485\n72703 76355\n35336 84168\n45081 69075\n3964 16109\n51534 66357\n69910 85971\n18753 58624\n20235 46623\n30107 79449\n47631 55431\n10812 64490\n12795 71651\n8418 31485\n23439 83533\n20075 54399\n38249 59490\n24332 69569\n34935 79925\n6258 52043\n20123 81010\n56345 61428\n22594 67945\n56660 85165\n6891 24428\n18090 57910\n28398 57236\n31996 77548\n20734 46358\n77876 79323\n7827 14537\n4219 67917\n44257 77322\n14212 62193\n9895 48342\n13406 45602\n41072 80069\n276 59405\n19138 24353\n30095 71853\n20396 29149\n11757 20560\n6177 8038\n21785 47406\n18647 45536\n19146 38355\n47760 71582\n3509 39233\n52968 79574\n49233 57651\n36142 66974\n49411 79735\n911 62979\n50825 76697\n10617 53996\n64343 75846\n2776 56790\n41371 70491\n42477 51603\n27582 55159\n9701 20327\n21035 24684\n46212 67188\n36558 46210\n31384 66888\n41689 49977\n6836 60043\n22416 74575\n4584 67391\n20506 56133\n17623 54453\n29397 58534\n2559 77532\n28451 72298\n59130 71503\n61770 80077\n7703 83259\n29052 77109\n9571 54962\n20531 70684\n9447 84779\n16171 80651\n31260 81555\n15287 64709\n26604 53261\n12901 45979\n10366 17749\n15438 53733\n16220 18217\n74066 79001\n44360 67440\n56271 62977\n63377 85005\n17259 51182\n7794 55935\n42069 85507\n53768 71968\n16139 26072\n33190 52436\n56366 68742\n36682 59450\n25785 66065\n1411 28970\n18361 64946\n8843 39724\n20192 74107\n17101 30186\n13198 60999\n8759 85593\n30416 46254\n18629 33691\n3961 24308\n31544 62990\n29839 73186\n71953 85959\n3944 50470\n8757 76211\n43892 48187\n10515 77293\n34457 80044\n39626 75371\n24300 56762\n2261 41470\n18146 33392\n45126 62334\n59936 60568\n37911 83888\n13342 42071\n1075 57985\n35628 64979\n15419 53196\n27108 47775\n45113 45820\n35117 78920\n8379 25613\n63497 72482\n66958 74084\n11956 57944\n683 51441\n35057 43890\n15216 81382\n14839 73563\n23779 82168\n6243 41318\n11106 23461\n2293 14537\n3097 70697\n34097 47283\n13836 74869\n18828 77742\n45095 81261\n73729 74629\n3390 76645\n64733 70338\n13972 47025\n778 5385\n9214 23053\n10972 14522\n61475 82853\n35882 41191\n16723 58921\n5802 49533\n8197 27708\n486 63896\n18058 37505\n39651 45926\n51490 69774\n39126 56933\n2013 49572\n40231 45012\n6791 85970\n31683 75764\n12248 74059\n40151 48176\n16734 62309\n12265 25468\n10753 43029\n14107 73585\n10798 35257\n33114 75201\n13135 82064\n52211 54558\n53314 72453\n5071 68930\n42990 45934\n23030 52505\n29661 44811\n6168 56620\n1900 15116\n46397 80348\n13665 16850\n35084 46075\n13220 21666\n33223 65744\n12904 55669\n34655 76899\n37464 57290\n21834 78637\n52283 73402\n19719 27787\n29299 43596\n63267 78524\n40730 81935\n11110 44091\n31274 32184\n7726 85052\n2481 62063\n29221 84090\n24283 44545\n15678 73913\n5768 55792\n23456 56335\n51745 67963\n20985 22773\n56191 84412\n5222 21705\n8191 70085\n62280 79387\n5567 14640\n8784 46979\n39738 64339\n19914 41853\n28182 72692\n31071 84220\n21838 84724\n11683 81054\n46322 85441\n9885 29299\n19156 34598\n46178 70858\n79447 82791\n22958 42265\n58659 83841\n31735 81183\n23728 68220\n9002 74753\n6473 62344\n33002 51494\n4311 50645\n3851 78437\n1943 48935\n48772 59284\n30214 77751\n6653 9118\n24540 55901\n41017 56542\n47593 78940\n27034 41104\n27123 29518\n22322 57031\n12408 63271\n9093 37594\n63578 76771\n16143 24691\n2659 46520\n46109 50186\n7310 61522\n13306 85790\n36692 76439\n37710 85378\n40772 68065\n15389 67148\n18172 28018\n38845 75109\n33774 47733\n32036 36810\n61139 68836\n38063 75409\n36460 40411\n56116 84293\n57532 74396\n18345 27114\n81561 84546\n3606 53022\n1218 82824\n70664 83496\n12244 18843\n11542 46470\n62670 62954\n43308 84925\n60629 78265\n32465 34072\n11604 60158\n8268 34827\n58222 67174\n26992 37794\n6130 16070\n10286 17927\n53388 54365\n22779 60867\n29320 80147\n3456 57646\n6733 24233\n43781 80614\n19882 44799\n19999 29170\n1914 47998\n58472 69757\n8540 17812\n1852 67769\n11432 38842\n44425 83307\n46336 69254\n68599 78192\n29263 41562\n16513 65566\n16541 67052\n39670 66532\n63806 80960\n29688 73021\n71060 80539\n1417 54224\n34728 48421\n33272 64616\n21113 68082\n37999 77133\n77921 81040\n29784 68719\n30457 74519\n39602 59221\n42869 79884\n73388 82984\n32086 40499\n46202 64894\n9244 36681\n39132 66216\n22856 74742\n47015 55332\n10822 81828\n14677 80230\n14822 82782\n64190 69926\n2558 64818\n20910 25642\n11178 58670\n74271 79817\n49739 84403\n8010 12809\n12271 34480\n54563 68806\n17136 18191\n64868 74866\n67807 82887\n2999 30512\n54843 84897\n17562 85124\n21139 37308\n64706 82703\n30096 51415\n10472 29642\n10515 56070\n25364 73776\n31402 61675\n63935 67936\n41952 62777\n5929 13218\n54419 76484\n10155 55468\n5351 82649\n3482 28726\n57966 64475\n3054 4844\n27413 50143\n20996 56967\n53207 73827\n5820 14833\n25648 65504\n66064 73760\n11939 72705\n14815 73197\n29849 52000\n26562 63924\n70886 79530\n24214 81237\n25481 37163\n4126 70627\n23073 34537\n6988 61807\n21583 24778\n14230 49404\n184 59616\n9132 37187\n75727 83332\n30191 48798\n45601 49187\n46956 69880\n42286 42331\n45958 52620\n39045 61020\n52193 53947\n935 79902\n12548 84124\n23054 64074\n2623 35575\n29147 66808\n38743 72363\n1926 22900\n35290 66740\n4172 55714\n39712 70775\n62355 78333\n23448 70451\n11885 46897\n32038 78608\n13102 22668\n24252 49815\n30062 45802\n38505 69135\n11385 64333\n32345 38568\n27251 35588\n40957 50351\n31217 75712\n39784 44661\n13112 65443\n31201 70002\n22408 52637\n16081 41620\n43268 79173\n2584 74989\n4934 19123\n29593 77720\n26522 36413\n67639 82566\n47518 56865\n15367 70870\n67830 78959\n3446 15796\n27876 77836\n12794 37720\n12285 76713\n19382 21910\n2455 44090\n23771 75228\n3769 60366\n47225 85457\n50516 81814\n24260 73872\n30926 81263\n28449 28953\n3793 22398\n40093 45503\n52967 59705\n40662 85873\n72972 78495\n3769 38162\n2507 5989\n33389 79139\n582 26345\n7210 57666\n13 64631\n66830 79757\n34880 37745\n8636 42671\n11286 16353\n16024 65439\n19962 28824\n39471 63565\n54793 72133\n36178 46481\n3785 78732\n26460 35734\n8893 52351\n15549 85869\n6595 69608\n71059 72431\n617 48345\n43823 58685\n6338 75173\n25110 25636\n17590 61142\n43024 52436\n5684 53244\n56963 65920\n14225 54465\n36509 57593\n51175 59141\n39108 41095\n29578 75235\n18704 81591\n22673 29135\n22358 40766\n39114 64291\n3994 83382\n34675 61462\n22569 84737\n38111 66827\n40325 64900\n39793 74740\n36962 37312\n44277 47570\n10253 70605\n26198 66111\n34365 80817\n15141 17979\n1925 15808\n12661 50219\n44643 49179\n3931 48126\n51042 78137\n6517 14787\n42757 85066\n38436 63234\n28755 55675\n2012 2816\n63273 81371\n20879 30466\n58058 80218\n5942 63966\n25979 48074\n9329 16099\n5758 67050\n43712 56014\n16495 16499\n30082 55056\n5114 5909\n5536 47913\n62632 82267\n13468 69287\n32692 65938\n38486 64051\n13670 81599\n8044 80913\n72231 72421\n22744 73312\n30727 65787\n55306 60033\n63387 83243\n20705 30085\n3543 61701\n17930 64442\n6217 85139\n25719 53713\n82329 83646\n20899 58743\n21612 81558\n3501 45756\n57322 59241\n25847 35500\n31514 34494\n55150 82824\n61117 62797\n11313 65516\n19203 29002\n28758 34830\n8908 20772\n52282 64759\n77001 85337\n2192 60514\n114 85924\n1080 58256\n13517 30011\n16255 47851\n14547 33944\n43254 53177\n66342 81657\n11666 30465\n38886 48496\n7794 40243\n5599 67645\n67545 67967\n6592 73442\n28368 64975\n14923 55970\n16202 40022\n11541 28335\n25402 47485\n6927 38427\n32107 67228\n24726 77499\n39649 70720\n18771 36128\n9994 21251\n67714 81529\n17254 35048\n14600 34552\n49818 71347\n34656 63722\n17183 57589\n1419 58733\n9867 54870\n16632 60951\n57281 82879\n26774 33349\n33077 67414\n9009 53864\n31713 51301\n31061 33504\n37339 85863\n26716 85781\n31692 32567\n31263 40505\n3653 34060\n38216 77123\n35209 46581\n20732 84262\n32484 50079\n9772 45840\n1800 27690\n47107 85726\n48006 58532\n14975 39461\n20445 42125\n19407 24522\n19431 44174\n10783 12751\n20382 40560\n44750 49804\n24964 61764\n33617 73623\n12613 64927\n40465 69119\n60206 82569\n29534 55231\n39223 44956\n42234 62473\n2854 51048\n28346 77803\n7602 10913\n9581 31619\n28336 62115\n18765 64440\n13572 52948\n24537 77165\n48000 68448\n7641 37264\n29013 35574\n25391 34093\n23597 62983\n59052 70286\n14532 31671\n56459 82624\n22098 34298\n67433 70121\n73606 76898\n75425 77355\n37149 83310\n68102 70595\n17324 38623\n56725 85430\n71577 77126\n9892 21394\n18677 29885\n7625 37069\n38689 54731\n61820 83746\n42921 68600\n38538 73309\n36152 52839\n7740 18822\n28086 44531\n32377 62593\n21874 22305\n40762 84240\n55064 74827\n34608 36915\n71058 73108\n32235 70775\n33462 75307\n56204 66175\n5101 7967\n18441 75919\n11430 52888\n12327 16088\n50599 85674\n63063 65069\n2131 17087\n2616 55970\n19708 25160\n61933 67292\n507 84981\n17577 76863\n24406 32070\n11619 34972\n25148 60218\n34842 80691\n395 31266\n16063 29847\n57891 72212\n24253 67002\n18799 81175\n55993 75338\n108 56748\n23064 85075\n13344 29907\n10295 83429\n6589 15905\n28558 64949\n40161 79573\n26741 40109\n30098 38341\n30977 50293\n68933 72606\n32199 53204\n55642 61885\n29232 52318\n5010 31765\n5438 29627\n36802 65955\n11942 12522\n3883 13281\n4050 43553\n28350 35000\n4950 5466\n49517 80553\n3581 84272\n25840 28687\n1186 39256\n27831 69285\n44577 73742\n24541 40896\n26908 73903\n35463 45436\n12187 14959\n3598 61317\n4535 14857\n65314 66652\n32750 36847\n26743 82476\n9706 26148\n48142 85499\n17257 38905\n17285 37590\n13006 48678\n48000 52411\n46280 46998\n75777 81753\n22170 31315\n47483 58551\n4208 63562\n10854 18073\n59750 78843\n20728 35390\n26761 51691\n25296 36721\n33803 75631\n64519 76671\n32819 77927\n65507 73456\n27864 44525\n23239 78275\n41188 55939\n48525 60826\n15647 68640\n1987 30768\n3419 31979\n20426 34859\n45356 70900\n2000 25149\n2683 69452\n37543 39132\n21235 46896\n10693 53444\n21583 33648\n25302 75480\n5215 10731\n43543 73783\n47369 52497\n15371 79587\n15746 46812\n62954 83390\n302 9379\n36458 59381\n14074 72779\n47187 52267\n18447 84047\n69852 75621\n31462 48164\n25794 35674\n5736 68065\n33618 60366\n1428 58563\n57175 81608\n8126 78009\n6764 36036\n34301 66661\n27104 83759\n14200 16540\n31560 41441\n38214 43512\n125 3443\n30416 65611\n6716 9835\n76251 83101\n37120 47440\n5836 16303\n66954 69101\n44974 68001\n18987 85032\n15539 20643\n15751 46508\n59523 84015\n2035 27612\n24533 66158\n79609 80312\n22176 45402\n4386 32352\n14453 79963\n36426 70028\n3890 76853\n24603 30950\n25244 57006\n44557 68491\n4484 33265\n6863 47654\n52107 80299\n9976 85292\n28691 71297\n39495 69436\n30699 65278\n35000 48337\n3897 20095\n56219 76703\n42003 42079\n39091 59461\n8265 47153\n11034 32578\n66091 70435\n42088 46390\n5630 30606\n33913 71467\n58280 80680\n20729 76335\n27558 62420\n14546 24508\n71486 74092\n17939 26537\n57293 81206\n58578 81948\n6370 78156\n14588 42025\n39222 66187\n10652 71339\n12992 22145\n34816 72504\n61807 76004\n1463 52910\n1923 57232\n13800 53884\n10055 63923\n15797 59184\n19675 33901\n5240 16309\n45510 47625\n6702 51271\n31693 51393\n66765 70710\n50612 61684\n46392 80790\n54519 69877\n9181 64795\n23215 51694\n2047 80318\n65355 69175\n22647 82854\n9443 48952\n8467 51383\n64618 76820\n19871 40888\n23444 77251\n12832 44984\n36153 82942\n1901 40265\n1987 42172\n30003 57989\n5003 70375\n32371 41143\n60559 65386\n25410 64840\n34063 48095\n61333 81994\n557 52940\n7669 39836\n52170 75051\n47480 51761\n5653 22406\n7203 66343\n15879 63687\n31322 50791\n10062 39646\n11072 77776\n53471 62193\n9803 77029\n33102 79122\n6158 10899\n32952 66503\n62488 77806\n76586 76863\n5797 11857\n12318 19264\n12852 60836\n18527 59576\n53769 73635\n2998 48592\n36438 58990\n24961 39788\n39570 84659\n8253 21193\n9078 74328\n56937 66146\n10457 70474\n2133 20712\n32840 40809\n24561 66640\n49479 72519\n3366 53364\n12916 40437\n1314 57973\n9819 64166\n20845 39145\n4869 38372\n5952 85379\n58137 66214\n52485 76299\n10656 30175\n30258 44334\n34124 44515\n42355 81782\n9901 15431\n24394 65472\n11815 42218\n53431 79641\n11261 63936\n6465 77459\n43655 74038\n32413 36988\n9787 69921\n49962 80618\n4648 68917\n10654 34955\n32444 33710\n26397 68190\n19599 73920\n7953 68914\n4845 50454\n12849 41349\n1343 65312\n2428 3883\n23387 64882\n11853 13259\n54370 61573\n17890 44219\n33260 39024\n24688 52686\n14527 25739\n61360 83254\n40380 54660\n33395 83235\n63413 76408\n17589 24666\n6371 62335\n44263 65675\n621 75254\n4527 8551\n58083 84363\n24076 42435\n45945 51829\n22070 28937\n23349 35249\n11498 58892\n39026 83471\n43625 61397\n81573 85864\n47149 66511\n17179 28547\n1328 55011\n56212 58698\n1359 4202\n666 74277\n1227 45795\n25121 33652\n50478 56516\n21577 21828\n37007 67445\n64920 71104\n33499 68303\n57348 81223\n16646 44848\n16837 72893\n11323 14346\n26824 49299\n5242 31874\n26331 31077\n68069 71229\n18265 67322\n63314 84933\n9347 63586\n60133 60321\n10919 85591\n5558 53342\n2776 59584\n1135 9889\n44389 60556\n6720 43155\n9722 37830\n48805 59093\n31706 55162\n31763 39807\n39139 74631\n51817 51959\n31006 78830\n29990 47790\n67040 79903\n13518 47003\n12464 69583\n58249 83612\n41992 81933\n29124 41525\n23336 33879\n5914 68432\n32362 50144\n24557 38202\n22596 46042\n39306 83078\n23795 37054\n6708 13754\n30900 79013\n44282 59902\n3315 43964\n69350 78417\n34626 42229\n12411 66163\n20971 64794\n28953 51330\n8426 16567\n9423 77395\n17669 17742\n16740 52945\n27476 61709\n7262 43222\n38851 85475\n1555 37392\n56708 66510\n6316 84313\n53951 67367\n62098 62255\n1122 32861\n36083 74814\n66901 73705\n17755 33349\n31531 55651\n24000 85616\n45123 78808\n29855 51039\n36170 52128\n23960 58019\n35099 40298\n46048 64847\n38540 66635\n678 72431\n33844 51132\n13955 58590\n30859 42018\n67185 67340\n23529 33174\n60470 64121\n21032 49252\n5710 22493\n33831 65304\n7474 47114\n148 8775\n4637 8507\n39240 65450\n57890 84926\n4818 24113\n59011 70019\n36782 37520\n48235 66427\n69916 78008\n64485 73332\n72349 77694\n17466 66221\n12659 38131\n22534 37790\n11023 50211\n57463 61357\n66482 80898\n7867 63689\n23799 27175\n6754 33574\n30415 61990\n1709 21947\n3371 5143\n19695 52364\n25187 36164\n69289 85484\n57516 79154\n3562 61418\n31919 78363\n25162 35779\n65595 78055\n24922 64558\n38233 60745\n73353 79920\n40914 59516\n16728 33376\n66028 79749\n1126 13697\n588 60191\n22655 38504\n37937 38055\n12598 58064\n284 25332\n44604 56816\n13073 62934\n23479 30986\n39082 48927\n46621 83036\n44297 56215\n20597 44247\n61466 64478\n24524 26246\n24319 69732\n39415 44722\n22963 37970\n11115 56609\n25791 35645\n7936 73491\n3285 20230\n269 32968\n3333 16538\n13108 35910\n5588 40425\n80002 80818\n13736 83199\n9212 81401\n34116 79532\n51307 84802\n48815 77676\n8305 12499\n47305 66452\n29393 52246\n24480 68622\n39455 47207\n66722 71737\n5881 84345\n1795 67193\n5667 67937\n30593 80877\n4905 17575\n30354 53381\n54994 56159\n12561 30390\n9804 18551\n68179 68362\n15092 32842\n25536 28096\n28730 70805\n9965 28815\n19777 49032\n37382 43308\n22666 31551\n23077 38732\n33019 84386\n27163 83039\n92 80743\n46107 51869\n62199 70060\n5667 54990\n26098 79716\n3836 55702\n39394 45772\n66538 80640\n54169 82273\n59896 73606\n48660 52656\n3839 18497\n34922 51114\n6349 79934\n7473 54414\n53893 82553\n31632 42515\n27043 39084\n21986 83822\n30233 77247\n45011 80061\n18873 64499\n61225 81632\n57072 80903\n9566 83204\n30431 74944\n5398 84128\n55534 77826\n2169 9175\n30253 70856\n17461 55006\n16568 20781\n62922 72555\n4292 79252\n17620 35312\n15088 42981\n10585 19585\n36480 72320\n53575 55295\n47739 54653\n60132 78070\n27258 36336\n55089 69554\n63852 64716\n1554 68536\n35065 56034\n41675 53563\n36356 42016\n45740 67377\n43887 72866\n2234 25607\n49579 71298\n14542 68148\n210 27786\n18365 29310\n56929 60685\n72935 79892\n48249 50222\n11941 85422\n11765 57063\n3193 39193\n11038 28455\n28251 36717\n52981 72883\n45010 80690\n11888 70115\n24874 65389\n1517 3314\n27480 78587\n7245 71453\n44414 55181\n34211 34685\n28261 64313\n34853 44354\n13877 63195\n17685 72232\n35170 46603\n43367 69648\n27965 71028\n53571 61809\n30709 84974\n6231 65424\n7371 9073\n62247 67258\n5560 16849\n58688 64231\n66998 76609\n55786 63262\n29885 67291\n47964 54669\n40997 76309\n27769 48614\n39843 51229\n29782 39632\n13849 79577\n42483 58191\n30872 31314\n8098 30857\n13787 52092\n52185 84926\n71144 80196\n10807 33360\n29227 75157\n43286 60942\n11965 51336\n42489 75560\n18505 76659\n32803 38676\n14754 27015\n10672 28695\n7455 42398\n34197 65786\n32646 37403\n5363 12037\n6230 62144\n45828 47091\n29539 80357\n27233 82586\n2341 21276\n5288 56301\n17652 64838\n4336 50721\n800 12839\n76341 83468\n11274 43182\n16609 25004\n56357 68207\n52968 85163\n38694 52800\n51812 57553\n5922 39028\n48959 58062\n33770 59919\n63126 83100\n44800 54094\n12399 60360\n24696 78918\n13057 24757\n14448 79740\n15694 75759\n1227 79108\n21660 40950\n19317 82994\n29201 66476\n27221 44972\n21417 81480\n3920 67356\n45264 85043\n47447 80879\n12263 84628\n17109 50103\n30695 32674\n54054 61248\n14096 76134\n7953 66388\n3520 72921\n49913 63953\n96 46790\n3213 79791\n24034 76258\n50426 77992\n23687 79187\n71609 82533\n21229 39143\n31492 72876\n3582 32439\n17040 48847\n21377 43635\n70064 76751\n56849 68682\n18238 67536\n36187 70080\n8036 40440\n65345 73589\n81976 82312\n42777 61184\n11434 30442\n18914 69549\n48715 49871\n40527 45694\n15894 29802\n15429 25666\n44508 54301\n1022 18305\n6000 18025\n35075 70917\n26153 67709\n33694 38169\n9013 16407\n50637 57754\n296 74984\n64183 70476\n5808 75663\n13830 48123\n20468 78356\n38486 43508\n27148 37979\n26811 64093\n3290 85111\n56928 82568\n57097 75859\n16373 69479\n13739 55735\n15404 31155\n91 78529\n21553 30867\n22167 36539\n38553 44263\n11364 11908\n17116 39459\n12734 65866\n33722 59905\n47530 69606\n32166 79196\n16215 62442\n31619 55434\n72227 74376\n13267 38681\n17269 31801\n49229 53106\n32998 79253\n56301 72125\n16903 53632\n1422 75346\n22410 75584\n12874 79054\n40858 80439\n17459 25203\n33310 63960\n6253 84991\n51728 71183\n59835 78682\n61215 68159\n29853 44936\n56194 57823\n20093 20713\n865 11416\n25146 40835\n43260 74521\n10429 34963\n24138 85179\n44875 64718\n55525 66615\n6781 18200\n20974 76148\n23530 35186\n62272 74584\n46507 77993\n27269 59081\n15488 64700\n48139 78296\n35152 60679\n28547 30710\n37157 76606\n12532 45788\n37643 80884\n64959 81518\n28136 39896\n9932 50873\n47422 81950\n39811 70845\n1018 65130\n24139 48412\n46026 81096\n31292 50624\n20962 40069\n44078 74670\n50623 51903\n19059 39015\n20225 21201\n16535 21160\n25864 82513\n10823 58702\n9052 79098\n3394 49428\n45972 57900\n40912 51876\n64199 71033\n11881 64611\n13661 31093\n26129 85590\n5128 17045\n6927 31442\n27846 81426\n48925 64728\n44389 76360\n17549 51701\n49722 53879\n63237 80663\n70829 76390\n16554 66916\n13482 63412\n8677 27063\n39225 65405\n9590 21544\n50847 58717\n3646 79919\n36047 74096\n10437 75058\n8450 19672\n13756 44428\n4166 15213\n9282 36022\n14582 51281\n53907 62897\n72695 75258\n51760 77405\n24376 65605\n44337 45813\n32033 64089\n64035 77123\n16408 45586\n13606 49327\n27465 36642\n17329 34719\n37011 40055\n8872 57516\n8511 27062\n4532 62585\n16814 41723\n80843 85897\n7445 53329\n49717 59382\n9399 71722\n44369 80532\n56663 76451\n4469 32504\n3291 37223\n30273 61763\n22486 77249\n65945 85190\n66062 68303\n39268 81495\n79216 82261\n43723 82471\n51818 83625\n33569 71347\n19601 25260\n61208 62422\n16470 64342\n2736 28059\n64667 71152\n47859 78081\n67070 70840\n16867 26832\n11451 48299\n468 29256\n58932 60922\n25706 32992\n2365 76430\n23247 77948\n29388 60878\n2244 58003\n6965 9186\n21618 80240\n32365 66285\n26185 46502\n9887 51437\n39617 51483\n14529 57212\n31297 75290\n20251 60899\n36112 67131\n55988 64011\n19290 82377\n5886 35207\n33127 85216\n4340 55917\n15522 41221\n44519 68629\n22471 56976\n28705 79801\n20083 62476\n33217 49690\n22832 59644\n924 31432\n28219 38173\n15327 28398\n11117 27298\n7488 26952\n4381 30115\n54079 67547\n68432 76846\n26786 77118\n19258 53517\n20637 64743\n24294 60700\n23527 71805\n5502 82833\n29536 77019\n13361 27492\n9676 16014\n6006 67748\n61450 77427\n47279 51298\n862 82389\n36121 62494\n36269 42982\n33733 52713\n48244 53810\n19954 82971\n42975 80662\n10094 63450\n1331 33654\n28345 35361\n60458 70847\n23726 23877\n6510 54863\n19575 47794\n1867 45439\n23245 35751\n31676 44982\n50968 51691\n8899 45344\n38371 73250\n8771 81323\n40797 68324\n66846 80107\n61100 76680\n11150 21767\n5991 7637\n35881 79442\n17302 43925\n52710 82031\n16519 41696\n15738 20158\n33286 67955\n4545 34865\n39886 45211\n18522 58233\n17288 20300\n13361 40751\n49684 70404\n5405 65833\n10673 52782\n15345 78168\n1890 19764\n21345 34749\n61951 78461\n74756 85848\n38830 54959\n33104 35823\n48489 59871\n54640 56599\n50224 75114\n14733 35145\n40345 44767\n24849 83432\n49309 71516\n13662 25358\n25331 54876\n70618 79596\n9119 83571\n75301 80462\n32597 45077\n5269 18584\n56726 72674\n2910 61033\n39578 55332\n31599 36992\n22997 57759\n31502 82871\n18147 59709\n30967 81255\n16443 19821\n16674 84389\n68328 83286\n22620 34633\n25926 54030\n56508 69372\n19265 43927\n7587 26700\n13475 65222\n24795 56704\n3663 26955\n66873 76505\n21685 71441\n49584 63056\n369 25910\n10352 60143\n41339 78175\n35846 75557\n49220 52060\n41937 42947\n12558 75865\n34512 70350\n14707 52008\n29493 85392\n21206 44151\n11025 67001\n29564 46391\n16892 28427\n10829 38833\n16730 21500\n57382 78968\n7437 21659\n15898 64013\n65315 83124\n53310 73867\n11579 76130\n17517 49043\n33515 66970\n59534 61625\n3894 55647\n8844 32927\n5931 61350\n63916 74541\n68316 69731\n36808 77728\n27917 37015\n44459 69746\n59439 76133\n32524 37459\n5636 29268\n16250 81979\n53007 55625\n27888 69672\n35365 47981\n15195 48790\n1737 72104\n23937 36779\n9277 20678\n33643 64906\n7360 27756\n10430 86002\n19672 45465\n42169 64751\n25672 44798\n15012 39322\n38102 41695\n18501 38801\n23408 55773\n13485 25424\n8023 84206\n8842 22390\n6935 9266\n54087 56388\n71747 72191\n62512 82189\n20443 32157\n8874 16541\n26708 71676\n10091 63525\n45391 76231\n64760 80387\n18944 42522\n29067 38061\n26670 75968\n41852 60269\n369 43355\n14651 47706\n6764 33524\n56864 83724\n59 13518\n26463 51028\n64952 79779\n18004 57852\n10750 32224\n6148 55915\n58285 78150\n35833 84400\n840 14274\n32994 71057\n34902 57980\n54185 73443\n35853 85678\n32941 36667\n53276 80750\n42464 68198\n4108 16999\n19882 72187\n7255 24360\n55196 62062\n32615 65839\n4643 18691\n23330 38728\n12340 81467\n64712 67877\n73156 74891\n1346 74027\n3240 14652\n15084 50620\n33170 43035\n50134 68271\n10309 80599\n34430 73020\n35244 76378\n28067 67684\n21442 67384\n3349 74447\n5009 44725\n66603 83291\n55758 76216\n24117 34658\n32480 69509\n15812 61515\n27581 60598\n19544 81032\n17197 56152\n17507 37044\n51505 69618\n29524 59337\n6112 52280\n34498 71021\n12150 19170\n22987 61556\n12265 68827\n10225 23814\n2901 40656\n33024 46801\n36212 54459\n23646 39427\n22674 30967\n30890 43513\n41636 70546\n27543 32151\n60952 62173\n27835 58219\n59986 72632\n15066 57325\n19316 63324\n44465 84512\n14505 47022\n33478 44339\n59996 68779\n50475 81168\n4445 46272\n22024 64248\n34793 85277\n7444 34169\n33510 77850\n26492 64963\n36068 40240\n14009 36208\n43661 82570\n32528 57216\n6882 10631\n42421 74616\n25857 33371\n37088 74538\n29149 54506\n29998 56081\n69149 76802\n34089 45957\n61871 63277\n47856 49411\n54467 60760\n17557 81033\n30874 71663\n8901 60904\n206 82786\n21792 77441\n49920 70544\n18385 31684\n23241 35171\n2235 9961\n26664 59152\n27225 57706\n33253 59015\n35814 40758\n62767 70416\n8615 13143\n27070 60045\n17178 20060\n24853 59093\n55548 75931\n39249 78243\n37899 43202\n37409 41583\n32313 34589\n29547 78848\n8888 50785\n39435 62390\n43799 75192\n8711 16557\n37034 56655\n70854 82358\n6056 47687\n18220 25149\n12064 81470\n19080 34851\n3854 13510\n7544 17057\n16081 36269\n17189 46229\n25289 31000\n22804 63254\n69085 77084\n36056 38138\n22125 47640\n75306 83785\n19322 83109\n54790 83528\n2942 38168\n59455 85702\n13465 67757\n66803 80327\n4642 34161\n37700 46336\n44059 64033\n20109 70642\n63712 81785\n6365 80061\n18240 79169\n32804 67409\n3256 72164\n78370 82282\n15293 69658\n10816 13613\n30815 38603\n44736 66350\n2384 4591\n2702 58350\n69830 72222\n38610 75995\n5594 69931\n1631 65539\n49469 83264\n52022 57264\n37668 85593\n19817 35429\n72460 73245\n46261 55246\n2757 6017\n23458 45776\n20160 40401\n58892 74429\n12976 16579\n19006 56116\n25378 66636\n17266 17973\n58600 63342\n56508 69643\n15512 52546\n1827 34520\n23275 34351\n56859 82029\n5632 56649\n536 31567\n33658 69028\n3705 62913\n3183 38825\n25947 33020\n27736 63248\n37258 63112\n52499 77378\n10254 28852\n55035 81344\n25714 36154\n39410 79499\n26404 84245\n18105 84326\n895 17693\n48031 51153\n60211 81676\n6546 22705\n54953 78096\n11337 27231\n3423 30768\n9723 80762\n19589 40420\n26786 50978\n66377 74106\n16202 52677\n51466 61364\n48552 57083\n33788 56395\n18556 44181\n24645 37250\n73845 80030\n46856 47899\n5959 31878\n31219 60443\n3350 48630\n17694 67459\n14780 43218\n25722 73964\n8046 55979\n19226 27433\n10521 63263\n20413 25843\n15363 32904\n21044 49820\n41903 73901\n76554 83788\n16717 69290\n31260 84384\n50950 64662\n71554 85529\n25639 62850\n10231 67894\n22744 40478\n32520 72390\n3085 73878\n31863 35712\n15825 70933\n42180 70018\n22178 49690\n8156 8487\n7097 51627\n65329 75348\n60413 67022\n57659 63645\n14872 19225\n47733 83280\n25243 25757\n21392 75126\n6959 57957\n54113 56604\n36463 73750\n34891 35917\n22437 25953\n54575 73510\n41986 47406\n32762 52642\n3124 67889\n210 53054\n11544 65379\n13764 32227\n18531 50621\n60441 73823\n10391 44018\n14145 78598\n35033 72523\n33255 73710\n58737 82909\n34544 34695\n79150 82228\n23564 63734\n10996 35714\n23031 44180\n35979 75195\n26985 39617\n54017 72664\n63921 83026\n5625 31879\n23345 74983\n20482 77393\n50180 79117\n28624 72548\n64294 70697\n52370 81476\n36069 85763\n8233 35359\n26176 82504\n33095 46950\n41143 65740\n3155 32533\n50022 74646\n31223 43874\n19818 34543\n31804 64398\n10360 51389\n24234 80037\n46842 76398\n12156 56543\n118 47436\n4126 71787\n2090 68714\n27413 82157\n5200 73390\n58110 61836\n27781 59685\n48679 80937\n32445 61477\n68753 71959\n52885 63000\n27489 85664\n4677 52731\n33938 60837\n8127 60545\n13468 16616\n19994 23253\n7826 30161\n52578 69694\n27169 50852\n68225 79233\n40719 64139\n44506 48898\n26999 38762\n5262 11050\n19645 56650\n2515 16712\n51022 54590\n2325 37500\n11979 69171\n22176 37112\n16245 16314\n12364 13583\n76661 83166\n19495 20181\n63107 84020\n8506 58830\n35031 37854\n71385 85480\n9270 53512\n8962 79473\n25516 39859\n6324 68636\n5463 9328\n68871 73859\n69454 70570\n17619 35078\n52748 71737\n52579 75608\n46315 65505\n33115 40413\n46619 51765\n32487 49195\n10165 30748\n12567 33797\n2569 57300\n20808 68316\n48246 82511\n45841 47238\n35515 38030\n12948 78725\n32196 80377\n15047 30462\n13292 66153\n58289 81981\n9302 45016\n3070 47908\n9444 61349\n11717 63583\n31067 59556\n7776 66843\n39179 42672\n77159 79699\n23073 34465\n30755 43108\n43092 61434\n46022 67468\n3424 6096\n23708 84019\n41834 45492\n25249 57705\n23815 50830\n41200 53440\n37588 40400\n11078 16053\n24586 64331\n47047 68338\n26900 66221\n50477 57475\n21649 27646\n10841 76126\n20069 67594\n15365 72531\n50005 75067\n4214 41265\n29699 34547\n13995 59626\n28327 47037\n17586 80865\n13339 81631\n26927 32025\n56469 60910\n13218 48417\n47664 60482\n15520 49061\n15038 85367\n17007 57704\n4516 17651\n34038 80327\n1395 56824\n51587 51845\n28912 31198\n11669 18987\n33046 43179\n9198 13248\n55052 68562\n51396 85693\n49723 51033\n41051 59407\n14371 17609\n25401 39490\n7411 40971\n6449 13884\n12028 19925\n3901 63800\n50898 54771\n56579 83433\n50240 81562\n31107 35697\n66629 85438\n47833 70313\n41189 47817\n46097 72187\n17102 60880\n809 19528\n40670 81643\n38192 72338\n4576 21438\n38245 80056\n40040 56631\n28474 41636\n1669 80008\n37747 66613\n34870 36480\n53098 69617\n33682 57298\n5611 45242\n34225 37942\n27509 52672\n10551 14999\n21173 47322\n28361 30580\n48288 63478\n23241 27728\n37415 85000\n36066 75640\n15705 81940\n6200 58775\n3775 81253\n11996 61023\n4075 13348\n30599 60522\n69435 74179\n27547 42387\n28945 36939\n24998 79992\n55878 84225\n4923 74891\n20386 82033\n4160 9639\n6764 81017\n41791 58345\n29506 52087\n45887 58056\n76862 82275\n41137 63952\n18752 51649\n31389 50499\n67807 74513\n12659 27851\n12184 68659\n76033 82774\n54695 62593\n3186 71436\n3128 44177\n40081 76298\n12413 26679\n4666 28165\n24211 76613\n66380 66899\n37267 63305\n59123 64476\n39148 66859\n65249 72343\n16579 60746\n31757 69313\n51497 62765\n56594 85269\n4393 54316\n30888 37554\n58935 74292\n20267 48070\n21628 78010\n24695 64001\n12834 50754\n31703 62742\n25968 60545\n5111 15598\n33488 39417\n40065 75028\n74379 77766\n52190 68899\n49166 65768\n13357 51163\n74736 79978\n50123 74291\n8894 34621\n22031 54556\n57437 80806\n14208 21018\n42466 64834\n28353 77844\n1556 50930\n22617 74518\n26849 53998\n6394 82570\n10035 21828\n67042 73919\n28636 83238\n6871 83946\n5697 54271\n14939 32611\n45606 75280\n64971 78833\n29683 51543\n73112 82595\n3180 14539\n25254 35267\n72583 76435\n22305 72353\n5316 31178\n63211 78849\n30909 65271\n25525 35132\n44745 84797\n2255 34086\n15804 63089\n52568 72962\n53562 82555\n26471 58215\n21014 40015\n21950 59701\n51776 63770\n20332 81590\n39406 48651\n17923 49092\n61955 65176\n6886 82496\n7348 68370\n20304 46141\n4067 43893\n35690 84208\n920 14089\n18514 36985\n66782 83238\n15781 28756\n27047 38129\n30503 81501\n27757 61273\n33029 84381\n37349 70102\n16313 77318\n29746 39023\n5389 44213\n76471 85525\n4932 67518\n15139 28883\n29220 50389\n26959 57835\n36714 59724\n47279 65703\n52327 77765\n15096 62610\n54297 64009\n16802 61146\n39232 74940\n10982 45565\n59610 70886\n23246 25643\n44549 65887\n62091 64046\n58475 82348\n1180 46476\n17597 27437\n12212 28403\n39244 82163\n24261 44661\n31831 47216\n7672 50383\n12394 45865\n10979 68131\n7904 45981\n22508 25976\n21446 80283\n21225 47903\n47042 79593\n26677 37414\n56080 69111\n8985 43353\n9684 36839\n34740 52846\n46478 52921\n49413 53379\n3077 68336\n35550 51111\n4735 20111\n63585 79093\n23884 58449\n12342 58614\n24009 70593\n26185 34651\n32606 56687\n22700 80320\n58150 84273\n56448 64186\n41015 52848\n14172 79796\n57457 66508\n26877 55900\n33857 73033\n48408 50740\n14475 35472\n11834 19768\n27331 59819\n16506 58879\n19770 75256\n45862 68267\n51557 82928\n28406 39955\n31627 52676\n23852 48769\n2062 40616\n60267 67238\n15533 71178\n57408 58851\n11156 64448\n11683 22534\n26179 60802\n4892 68689\n19252 47086\n43094 77434\n46190 51567\n1653 20733\n23397 42380\n63297 77809\n70873 71718\n51097 82501\n26893 53925\n69252 78875\n57661 67324\n10146 35919\n15283 77673\n54920 59895\n24761 35534\n15985 74324\n23979 44591\n16501 75184\n7772 21608\n4568 13013\n69768 80085\n38336 51516\n23902 52188\n56116 79955\n13162 59081\n19624 24738\n20725 54611\n21074 75643\n59396 77620\n964 16638\n42362 52216\n31766 64084\n7189 24330\n14166 45319\n16687 49427\n41622 79551\n69206 75082\n46483 73320\n13685 84187\n42456 70171\n32819 62376\n24235 71645\n65336 81960\n60966 83758\n4569 85648\n59194 65157\n38753 41566\n51821 72039\n94 60478\n47856 77669\n33708 73864\n23892 43149\n43502 53811\n39031 75243\n17222 28755\n63025 74222\n64504 83979\n46716 59438\n12963 31945\n55156 85165\n53290 68470\n11015 46293\n33 27504\n32141 79866\n26050 43173\n11902 56731\n52455 71938\n22447 85224\n8453 66328\n20309 63725\n51254 78524\n37262 71284\n11263 85380\n24569 43005\n18109 48269\n12183 73190\n26448 60003\n53219 53907\n79357 80140\n10900 75868\n291 13202\n16119 79516\n51192 79843\n33569 74933\n10076 64773\n11989 51039\n44638 53347\n14959 42261\n56476 79964\n19951 20261\n18062 42035\n30004 50174\n54784 56663\n11196 67000\n39115 46416\n21466 57346\n17059 22250\n7212 84925\n33040 80580\n14741 66497\n25851 76514\n56916 83928\n8650 31829\n55646 65047\n26239 50488\n39422 43332\n24562 54473\n5533 77742\n30450 85405\n26170 62460\n57421 65710\n24751 62653\n58595 65644\n38116 67755\n4323 38122\n1601 25630\n45268 66125\n69581 78676\n11192 47976\n22865 83024\n27880 64371\n72710 84033\n8412 73623\n71550 78583\n28486 78988\n73967 74799\n9281 74080\n8600 37286\n4177 56455\n45858 85771\n62244 67437\n34094 40072\n25870 65545\n3480 65751\n60945 74598\n864 38753\n34195 85443\n57542 71933\n21022 80171\n63915 71308\n54040 75032\n7075 39102\n49843 71128\n13923 30302\n21637 50308\n3021 62619\n56204 66143\n9091 48684\n13322 71735\n4637 11790\n12244 40532\n13283 41037\n39788 49906\n24433 68452\n56793 70155\n21857 48233\n64022 80781\n10229 56279\n54433 69924\n21201 36275\n20631 46474\n5121 80414\n21560 50858\n8753 77645\n26880 82722\n19865 71150\n204 13284\n12060 68491\n14742 71699\n31620 60783\n9148 77837\n25572 28701\n40903 60047\n26534 31190\n20928 81393\n3896 75372\n45309 57159\n38681 52026\n2061 6099\n56569 73912\n44883 45919\n29251 85590\n4425 39974\n10483 50278\n47195 50054\n10124 40345\n28157 69717\n50507 57153\n47768 78163\n44867 84296\n33808 47878\n68797 74800\n8964 17555\n23388 64111\n46166 83465\n18515 39000\n40271 43416\n37101 80040\n9359 70965\n31407 82048\n1505 56789\n59730 80191\n34792 85196\n36023 49987\n6679 23190\n25744 85087\n11796 79498\n52719 85113\n57188 77674\n16149 23078\n20148 38680\n5133 69062\n55490 73183\n9820 27990\n27667 65484\n19256 31261\n7353 50480\n7028 43267\n5217 82733\n21983 33216\n70674 83169\n11399 55679\n79114 80944\n10111 51161\n80372 81661\n46142 52996\n11859 19209\n29376 39672\n30913 58399\n9048 48261\n62542 63918\n62633 66491\n47547 61572\n4128 54319\n227 22822\n8506 51570\n14652 85608\n45828 59228\n25822 33097\n10783 43778\n6508 15855\n7736 46952\n14563 66783\n57575 62725\n18111 54685\n55044 72853\n47985 59512\n39016 80366\n14918 39296\n54828 57204\n28767 44319\n9293 47840\n24216 73330\n18651 18707\n1467 41264\n6826 40132\n19661 80740\n50824 59323\n43667 70594\n76581 80335\n38744 60233\n318 77920\n3650 27762\n24504 39411\n34554 56928\n18168 39977\n32010 83702\n50271 83997\n11562 17117\n13138 22959\n13485 20135\n38036 45277\n8269 39825\n34738 36228\n45915 68770\n54746 62268\n5430 74705\n49858 57564\n20075 64688\n44291 82484\n38206 42412\n19436 48480\n13621 84011\n8294 52321\n11343 85323\n59016 60044\n8927 52961\n9788 37230\n26346 53763\n31223 77911\n8440 45915\n85016 85315\n15377 54014\n62866 82269\n21607 24765\n10091 22429\n16545 29530\n20356 46555\n20858 58976\n909 49883\n34084 44838\n22275 83597\n53712 56682\n20644 25384\n68106 71635\n6479 37467\n36961 62889\n32472 60326\n5734 60067\n1307 72065\n36069 72840\n2133 76611\n3123 39913\n29776 39310\n26237 78681\n26715 69272\n38834 53505\n40767 42310\n66194 68350\n41609 75881\n35025 40578\n73861 80509\n2480 61871\n36162 79707\n41250 77794\n19752 26036\n33740 50343\n35792 48039\n32488 63688\n20589 52898\n25868 39101\n30746 82467\n66864 81284\n26072 64703\n7885 41068\n64788 84112\n53852 62188\n32045 46922\n29939 33350\n36302 51556\n2444 37718\n19524 22788\n34996 54518\n43443 65473\n516 38053\n47281 59489\n57732 73575\n55383 72365\n19208 26293\n27008 58709\n45828 76691\n16497 70708\n19979 55417\n7242 45724\n20488 59618\n4181 46927\n8162 25230\n41338 65445\n18817 60266\n6418 63646\n9698 41806\n56976 63075\n41045 75792\n43357 55617\n29001 81278\n941 79225\n19977 58887\n57743 74917\n51450 55663\n45986 66268\n1006 12207\n7323 11946\n46845 57974\n29269 40570\n3535 49259\n11277 57987\n61109 79688\n65739 66803\n24530 68513\n887 7694\n40181 66239\n29212 47919\n13187 74464\n43784 73698\n28888 69528\n17248 45611\n79928 82842\n3686 20639\n38077 82927\n49141 70428\n1083 6255\n25572 37056\n28948 73549\n18832 79214\n19371 74445\n26250 72553\n31898 46112\n68273 83089\n57037 80023\n17513 81330\n4294 44211\n19644 21810\n8124 37122\n18648 33861\n55407 63680\n10270 10657\n31687 81224\n46390 62117\n929 10613\n32865 55354\n61238 78056\n38756 65356\n37954 38066\n60526 78505\n21889 74551\n16779 64777\n6318 49815\n64616 71829\n12229 70477\n2873 50699\n58834 61190\n14558 60747\n56217 67416\n3875 48783\n34871 53865\n20696 37158\n12406 34803\n40681 42717\n33001 42075\n43458 45602\n47791 77800\n424 34576\n28493 45467\n49269 71700\n8457 21308\n23901 35494\n2390 82132\n59894 60907\n60327 65650\n2726 42208\n37645 60646\n50500 77079\n8615 40208\n20701 80025\n56315 58478\n14975 40773\n23784 51018\n44782 75741\n40305 57823\n39083 73060\n48807 81911\n10249 54929\n19871 46668\n30743 77600\n5748 12360\n8847 81445\n19795 32329\n20265 38329\n43353 52990\n8244 29978\n31070 55150\n23245 32474\n56229 64118\n56410 59540\n24422 37297\n28127 46507\n32274 33439\n32885 54001\n6497 21070\n60425 77946\n2771 29687\n23668 78093\n31096 73339\n22164 68577\n29955 53238\n5669 72650\n4074 85043\n56885 59369\n54854 85644\n8624 19015\n19178 43628\n55431 76578\n38026 85230\n21252 33570\n19961 68519\n2454 71865\n57693 68343\n19058 56057\n30556 39632\n12088 16690\n22610 50156\n68522 85551\n47723 58147\n42820 54724\n55355 62829\n4265 68985\n41024 64020\n49021 64697\n56099 76853\n11146 14405\n9586 69766\n59600 64344\n12829 83839\n1614 12679\n27783 48885\n15004 17093\n63229 80256\n18809 63146\n3326 14487\n37441 65625\n9176 51767\n2280 31476\n20182 58317\n13753 67824\n54960 78811\n28321 31355\n31211 54984\n40861 74102\n22672 78983\n56550 60397\n62073 84717\n13969 52340\n43112 70890\n5563 55356\n57750 60391\n53229 82745\n49124 62742\n42567 85734\n19430 50519\n2686 13325\n7779 32291\n20575 35525\n2121 36480\n33053 76307\n26242 38651\n18166 57369\n14108 82720\n43132 46300\n3315 39805\n23496 53839\n26671 84331\n76298 84629\n40572 84645\n14032 30893\n56565 61206\n7155 78591\n64612 85780\n4041 45606\n68056 84968\n25975 59988\n406 75402\n484 19006\n25333 79548\n31924 32474\n43561 62723\n45057 63259\n29616 61603\n66665 78533\n18873 20265\n18869 82696\n18362 54462\n40667 60869\n35079 63941\n10626 25218\n6765 34686\n82268 83088\n4227 80398\n15327 42837\n20986 59121\n6488 25896\n58078 73821\n24640 29176\n46040 56716\n30854 35762\n39089 85905\n43192 53596\n37206 79539\n51390 69598\n1221 7991\n3521 83123\n1249 28357\n15980 76011\n57457 59817\n7352 74589\n15181 17489\n33641 38953\n22314 82541\n13635 30393\n8037 81845\n12098 45428\n1502 45940\n16261 35779\n34517 44273\n18050 35015\n10364 41620\n14839 75507\n14162 63876\n32100 39967\n5254 82209\n20349 29030\n19648 51426\n58015 60983\n62266 64459\n41230 45440\n41341 74345\n53068 68370\n32480 47866\n2733 8863\n21792 55041\n17036 45514\n26725 84587\n39547 57240\n46951 70612\n36483 73789\n49124 53064\n8863 61485\n48048 64535\n10609 63027\n39677 42840\n14411 65863\n6124 9383\n19477 83856\n16096 23963\n5963 82400\n54191 80272\n4975 14765\n66934 84132\n74419 84613\n39109 59695\n2738 24957\n47945 57303\n4229 65243\n31194 42584\n7667 9314\n24447 75400\n15511 48360\n14272 75957\n22025 81141\n26486 41179\n13244 19976\n10229 46132\n26435 69148\n3102 45249\n13372 49232\n71131 77725\n42958 56907\n19274 84674\n67147 74879\n34895 41529\n15474 42162\n11893 50055\n18120 35172\n766 79443\n28173 68988\n57129 77263\n47778 72104\n9310 67165\n50369 63544\n6074 63803\n44590 79012\n44252 48981\n76336 78786\n42791 68004\n13372 73157\n45169 82975\n33663 73013\n39368 57774\n12248 65297\n15351 38378\n59931 81147\n39997 64116\n42993 56735\n10181 55824\n1951 28112\n66879 69471\n15071 27497\n3294 60442\n49991 81934\n59046 85866\n60118 79548\n23479 66637\n9371 71186\n43111 84710\n20499 57574\n3586 43217\n4322 28533\n54806 55712\n15969 52484\n26041 78349\n22284 61348\n3427 24919\n65647 73838\n6969 43611\n30964 45706\n32381 55203\n428 38768\n1784 9178\n12581 38136\n69745 76207\n58342 84591\n11045 61885\n5622 82970\n40520 78873\n4519 77245\n27564 72956\n42405 60913\n2508 46730\n46033 53341\n20522 75954\n32943 75332\n3772 42728\n1191 17273\n8342 38487\n26741 66974\n3108 14870\n17226 55808\n16092 60228\n69421 69540\n3124 15530\n39577 60735\n62180 76649\n23559 81133\n62476 79291\n1980 13934\n37685 49675\n67389 68704\n15520 55386\n71894 83949\n38674 73260\n65651 69191\n56675 77352\n18719 52519\n47400 74162\n3157 32754\n56353 65001\n21087 80506\n41885 71258\n39505 58658\n3175 64044\n3768 80362\n36647 82485\n40043 43637\n45780 52718\n4478 12282\n29963 72442\n23732 80024\n9213 83603\n30283 52553\n32516 37077\n55098 56830\n17871 37610\n2991 36428\n11569 18942\n12210 42579\n67979 70145\n31586 33618\n4866 53570\n38823 71275\n33161 51531\n18570 34644\n23503 24662\n37710 57468\n70040 72597\n3445 83152\n17575 41888\n37361 69207\n3817 63052\n671 85378\n21046 23404\n21492 46247\n7091 40390\n34267 76003\n28929 29407\n54007 61028\n14810 17121\n4913 84844\n19686 75282\n48515 60565\n37811 58555\n30053 32213\n59905 70885\n13162 28115\n4389 62873\n52162 63017\n26696 72423\n16644 71885\n70118 80537\n28244 42472\n50488 79573\n29075 61810\n8513 55841\n68448 79775\n12672 42718\n47327 66474\n8896 50819\n75543 81146\n37405 78843\n12271 63092\n25940 79832\n11098 43676\n3989 40731\n10836 23859\n34046 75990\n29553 56811\n3655 37161\n29658 66717\n22655 52704\n13065 23266\n20989 57310\n46651 51143\n4861 67740\n51039 77491\n25979 37148\n70815 71355\n4521 48126\n1004 68812\n42821 59359\n44788 69036\n33899 69024\n66510 73462\n60628 62134\n36034 47700\n66629 84022\n67874 79748\n40632 64687\n42055 71852\n7094 38131\n13170 73873\n2622 4940\n51846 59942\n35551 42156\n29942 31961\n55125 66051\n12716 51742\n35102 68060\n40343 70603\n37301 53443\n646 48398\n30136 51468\n17334 55766\n54999 62902\n34487 73003\n1667 54928\n47164 64701\n39755 59902\n40833 54930\n23288 47102\n50990 83390\n17729 25869\n18986 33203\n12480 40763\n29447 72366\n45050 79538\n43288 49933\n17023 67868\n4636 71632\n51908 63307\n44426 50501\n28437 29592\n30425 46881\n1564 63569\n2759 59285\n4516 37830\n21485 49689\n36132 50455\n14591 50158\n22489 27051\n37704 39717\n20038 82407\n68765 80947\n16497 73306\n58440 62364\n10683 79711\n76950 78787\n4289 38603\n34517 44222\n11545 55234\n63236 80348\n13395 33785\n70233 81409\n71037 85555\n28244 83764\n16892 47740\n10581 21562\n32698 66178\n14038 52912\n16875 46581\n47629 68373\n64146 67796\n4010 53886\n27047 66093\n28858 70336\n10458 39748\n15137 71403\n17262 49897\n32985 85765\n40939 44106\n1739 23127\n1223 29467\n52348 64982\n31741 84147\n2761 27000\n2969 63556\n49214 85323\n9583 72870\n40812 51782\n11639 64738\n69571 69701\n35569 52957\n57429 61981\n21211 43789\n80769 85143\n10794 12210\n3506 22705\n64234 85934\n14274 75619\n18794 47017\n18570 21364\n53112 71263\n8504 71831\n63311 84514\n3406 63431\n10905 34581\n6402 55699\n2432 62380\n28542 45749\n56592 59792\n7735 12934\n56523 70533\n40485 85154\n16483 65027\n16167 73218\n38856 78007\n7027 50307\n10088 51892\n20862 35472\n31842 31864\n21517 38021\n53 71887\n19913 22395\n55405 72041\n7844 74925\n9694 71053\n1250 16425\n55486 79835\n28418 80789\n38067 83785\n73668 77085\n17130 67998\n10003 57374\n39949 76553\n14728 71460\n817 31489\n53319 77613\n60388 82487\n16417 61665\n7722 37234\n35602 70745\n15494 57642\n21830 35314\n32675 59834\n26584 79627\n70947 76029\n42153 54764\n1506 83250\n42757 48289\n26616 27349\n69692 71721\n68458 84354\n46984 62203\n29251 76793\n30759 63105\n1688 84806\n57767 68823\n42825 61823\n39419 75068\n7047 14415\n17599 85546\n3676 79716\n33911 76661\n16743 70862\n39948 62367\n43732 66556\n32487 59285\n7180 49650\n47015 78311\n25845 36745\n12818 28244\n14597 34896\n39196 80361\n764 13437\n21738 33478\n43786 80816\n54020 80253\n17623 31309\n35496 42675\n51365 82378\n15295 64842\n37664 45404\n20500 24083\n21844 51115\n30383 56772\n77835 82951\n28813 41639\n13036 39013\n75399 83759\n11984 83676\n25171 68640\n24999 75786\n33623 60847\n72291 77797\n6339 61458\n16503 56704\n4014 12624\n5586 57461\n26696 79805\n25174 82114\n1623 23961\n1826 23150\n15745 40201\n21609 65813\n32190 38492\n10450 80349\n19219 74316\n39087 64324\n23156 47240\n23500 71174\n7438 85737\n31301 48025\n18569 66717\n60688 62405\n22738 69992\n16862 54701\n49240 82230\n1199 3352\n11350 25773\n30452 43359\n43276 68633\n36972 51676\n781 6193\n34859 60390\n8547 19017\n8126 18807\n38281 40613\n42493 67225\n52988 57097\n45034 55334\n37892 72216\n18965 27597\n17525 71650\n38843 81920\n46356 49390\n3233 19448\n29033 38435\n5787 38967\n9358 51600\n20326 24565\n4386 67831\n33936 36809\n10349 81406\n49413 71995\n7618 48908\n82815 85263\n12408 35329\n13144 22610\n14084 75606\n21194 81278\n4950 21060\n17959 39703\n19301 84805\n40799 60535\n24666 31954\n56414 73920\n34519 34545\n36312 60095\n7880 28356\n56221 73718\n32216 85178\n3609 10753\n30069 79861\n13016 14009\n28314 81821\n34203 56817\n6944 84418\n19363 72614\n16689 85797\n15400 17680\n18611 50483\n35189 75262\n66466 85198\n1035 20553\n18633 80052\n65034 84230\n65424 73197\n80770 85735\n6331 42477\n12197 21003\n54830 85437\n56678 64565\n30098 71597\n23336 74082\n1066 41922\n27571 39083\n6400 79237\n35702 82490\n15680 64362\n10211 65962\n70269 75554\n29305 37480\n13221 19172\n19903 70366\n20482 52649\n11430 64011\n12619 67206\n25697 55440\n42564 47580\n47366 78433\n44099 63141\n8023 52673\n17914 18496\n60680 80831\n26215 47604\n17248 84071\n46777 69896\n6863 54057\n25909 79655\n36354 71909\n28581 82983\n52875 81062\n1222 46124\n13546 58747\n35254 52341\n77703 84446\n65960 79435\n34662 48734\n28838 75813\n26930 52924\n44994 63779\n8230 73943\n26041 43128\n44795 65567\n1230 62129\n54005 59148\n24254 42171\n37170 85315\n62528 68144\n35430 66813\n2623 34063\n30100 65863\n58680 82922\n34623 52333\n5298 45751\n58458 83720\n11223 41864\n3420 29002\n42114 74496\n32166 40716\n1357 30189\n21577 33005\n39438 76064\n23109 64228\n7629 59953\n15380 51041\n10010 12977\n44877 67640\n11522 58240\n72105 83420\n15290 69844\n36680 36706\n27831 77455\n22929 84805\n34840 40737\n50776 54951\n28493 40338\n37746 60394\n37282 40667\n3789 54078\n53607 74468\n31880 47594\n21636 48839\n25753 40749\n15960 25767\n998 63134\n20510 54949\n22807 57609\n16056 34854\n52175 78221\n42132 76541\n8494 16835\n15268 21821\n69784 85921\n11400 69347\n18600 60115\n14223 43518\n16366 40370\n24718 78061\n38396 81213\n41733 65904\n27625 81910\n18478 42563\n50134 51573\n77969 78417\n34315 43629\n2593 24927\n58392 59799\n36629 62850\n42658 47253\n12537 25776\n21156 67351\n55726 65472\n30167 50340\n7197 73238\n19748 31276\n37768 52615\n30073 70053\n47217 76837\n11857 36865\n12349 54368\n37078 84611\n25980 78526\n11 72664\n16449 83598\n18637 29217\n76229 85039\n48776 64974\n17159 67405\n26165 45388\n1534 37797\n38554 80955\n23741 46616\n6115 25917\n35310 80859\n16172 27257\n179 67637\n16277 20655\n43127 57243\n6048 10850\n10877 16947\n29900 80776\n13257 27320\n26498 55994\n18840 42486\n22429 59223\n17379 57561\n50569 52717\n37089 60763\n22435 69542\n9041 63917\n10189 73831\n6851 55464\n6601 65439\n7122 64326\n32882 46231\n1138 80869\n15427 63265\n12714 40079\n37924 67849\n20291 22454\n7234 33568\n77488 81498\n55186 70681\n27075 39088\n16335 66161\n23257 59811\n18567 83290\n65954 72292\n49899 76477\n7737 79917\n54000 63434\n2389 82253\n37888 83487\n16767 48446\n13359 51672\n37556 75936\n30874 82278\n28317 52306\n10042 77455\n39013 79553\n68672 70882\n48169 73039\n17784 67311\n6742 54874\n4250 20790\n1523 16905\n5478 69101\n28735 38232\n46930 76148\n206 5291\n20671 63817\n8549 69718\n9488 59531\n14083 52749\n39005 45110\n15065 76187\n11714 69192\n21233 48607\n34575 78898\n61569 78396\n11572 19407\n8473 74886\n20410 68534\n10392 18373\n2309 39735\n44391 68423\n16709 82836\n59452 60091\n7639 49383\n14991 61620\n66702 78359\n14851 34931\n17583 29599\n16199 16210\n58582 67116\n60160 76961\n7326 12732\n25157 56603\n26518 84982\n226 42314\n18990 36808\n19820 76496\n58366 70961\n25211 30636\n3749 54252\n39435 42407\n28628 43197\n25741 63592\n16494 27762\n14142 28409\n21266 37729\n5674 84041\n16082 85726\n22008 84607\n25603 62135\n9066 44583\n27545 42942\n16914 29081\n37758 52977\n56585 58711\n60234 69577\n21127 64492\n7822 69851\n42789 76744\n49169 79194\n59046 70879\n16846 37142\n34898 75191\n3891 29745\n63509 77876\n26357 82526\n12003 54384\n74799 75740\n36903 56952\n28150 64826\n37173 67812\n40396 85137\n1026 11670\n10034 39479\n64679 80497\n15278 68762\n20098 41122\n28580 83552\n2188 55289\n51951 62197\n36894 64929\n16138 35910\n39583 64777\n15081 31396\n45817 47709\n3267 8348\n43515 46574\n52919 75261\n34818 68514\n9115 43984\n9133 45003\n3394 45251\n16124 22588\n14763 29498\n42686 84805\n17099 72859\n35706 77348\n9899 30814\n28802 71958\n14570 85693\n41085 82493\n10387 29348\n11870 68851\n22517 61371\n9047 81563\n3650 23965\n29188 62054\n29975 52202\n7414 50673\n33921 40291\n12149 75218\n40146 49674\n40244 70926\n13251 34002\n45476 57082\n33136 78377\n5079 28798\n52605 57649\n21324 57706\n33903 76028\n31550 50504\n12626 47644\n47671 70738\n39883 81426\n25809 70766\n12435 68684\n2206 11558\n4239 7788\n61232 72128\n50022 54357\n75032 76551\n23885 41939\n71467 84836\n56854 73448\n7643 31071\n73060 73603\n9070 44868\n15816 28062\n34954 42619\n38380 41677\n69436 71439\n45098 81531\n54169 83262\n30911 74940\n23687 35845\n7227 24392\n11731 55183\n75306 78012\n7550 9303\n59388 85949\n1071 19612\n25 81257\n41440 79602\n61683 72054\n7636 36473\n15424 38605\n13526 67802\n45827 63445\n7651 8424\n30752 57672\n60002 63113\n2420 22857\n48295 50154\n67450 76041\n9980 10258\n39798 68509\n26232 39345\n48656 73621\n2008 16862\n59364 81369\n39588 56830\n36921 77663\n20979 65339\n79555 82958\n3687 42391\n6786 71000\n14512 75115\n21965 32395\n48833 79334\n4993 5753\n68074 68403\n1283 49118\n9254 58322\n66105 70740\n29550 85058\n58677 74897\n20503 81560\n56750 72976\n18064 46755\n39204 65436\n76138 77278\n21118 64524\n50767 77977\n31260 78377\n23307 65535\n65802 80547\n27570 67936\n33438 72610\n59732 85400\n4927 18664\n2509 47368\n63173 65141\n4180 10043\n18598 61541\n76110 84407\n23086 33324\n38494 56151\n50974 65856\n16121 26631\n7405 73518\n34395 74450\n35478 81372\n16637 38156\n17951 21288\n78837 80233\n20884 26842\n35736 72877\n6618 83536\n22608 71494\n28569 29957\n18889 73248\n37777 73673\n18635 72135\n16998 78343\n12568 77571\n49791 69308\n74757 79242\n24429 67049\n3985 48708\n17167 48599\n9631 32073\n47823 81850\n23723 56647\n57173 79657\n16034 31413\n28971 29513\n7834 42842\n48950 53508\n9767 48119\n41037 44363\n55542 56458\n52175 82633\n27325 85826\n2465 48278\n33675 73847\n41794 47882\n29803 78443\n4279 61485\n301 61976\n75501 78849\n27565 35147\n6917 63447\n44487 73666\n17496 76120\n28114 41748\n7514 71995\n7311 53524\n53612 82250\n35979 64147\n9417 43655\n7549 45417\n9923 37267\n30637 54534\n60025 82348\n69666 79461\n12910 30638\n77390 82071\n13110 84344\n4839 67202\n53218 85452\n12052 47129\n11004 28810\n16700 83227\n58145 84269\n58588 82743\n2144 12572\n964 47654\n41182 47250\n36714 75915\n30299 46948\n45364 78141\n31655 76590\n30429 82335\n72306 81405\n4593 73987\n27194 28966\n584 50726\n24482 81744\n4583 85296\n16808 63196\n12996 81511\n51726 79681\n11581 70071\n9538 22959\n5940 21918\n9122 63587\n60469 70067\n57144 74063\n8174 18118\n60265 78552\n57489 66803\n18674 21165\n45766 85906\n10126 79656\n7573 63798\n10682 80152\n20756 66890\n29287 39186\n54653 60449\n76037 80011\n79248 79395\n37289 59570\n43649 51210\n53555 67732\n15570 59522\n27736 46694\n5686 41970\n74229 74249\n63467 83581\n30592 34586\n6692 57054\n61663 82248\n21484 46386\n27710 40494\n11309 13104\n7806 11862\n26508 57988\n50358 83625\n61047 78211\n10604 24795\n1403 84028\n38101 54719\n21003 53907\n68598 74500\n10944 27057\n60482 85930\n8867 37177\n19998 23271\n5668 50163\n71710 73217\n265 3933\n5395 82329\n19008 52141\n36270 45793\n53704 66470\n7475 24209\n12672 21576\n10151 32026\n27412 75384\n43550 80559\n47196 71152\n16423 50078\n42702 55652\n24710 54560\n45154 65857\n3017 48274\n3675 4568\n53913 75252\n13044 35841\n2227 70864\n2260 54972\n5858 19641\n57514 74050\n2420 75697\n4163 49547\n18111 78866\n43292 58334\n30382 75470\n28033 80303\n11019 46589\n16073 80614\n53717 62821\n50152 69791\n6937 53636\n19000 23748\n51894 75166\n10036 66788\n30100 78914\n23261 39166\n9422 64936\n8193 8395\n41401 58221\n61291 75652\n55212 56207\n9135 46747\n55098 60540\n71947 80653\n52970 65674\n4989 32415\n18122 59549\n1424 36263\n35072 82199\n909 76107\n1946 52554\n44390 83917\n13796 74508\n19920 63656\n31701 54711\n13994 35359\n40930 42185\n4376 16421\n55035 83299\n11676 39101\n46178 70906\n1135 58444\n42688 43593\n7039 8238\n53665 64342\n652 30607\n14620 62914\n33470 61093\n2552 82188\n1463 81510\n18681 54660\n25361 46076\n8327 41365\n30457 34632\n21682 83933\n22835 70280\n53565 59674\n10231 35775\n17326 37768\n27516 79416\n4251 4426\n12436 78703\n8333 49233\n28937 53004\n3878 38274\n46685 64903\n24671 60681\n7857 9287\n31892 51335\n55203 74557\n2113 27340\n22993 84767\n60958 67111\n36115 80470\n21835 53455\n53238 63232\n62203 74820\n48125 68465\n38981 82573\n44981 48644\n33951 34078\n6631 81663\n32889 79651\n68453 68829\n42836 58616\n654 54316\n23529 73800\n22520 70369\n38513 68644\n22012 38272\n31733 75002\n15821 35762\n7256 16568\n7407 17061\n26307 46210\n75244 78490\n65207 75564\n23841 27624\n5823 79049\n2885 33157\n9990 23499\n24573 39759\n6176 84300\n16212 67723\n20165 48938\n60216 84455\n19689 35102\n1973 28152\n39766 82117\n45225 71949\n32941 79568\n37598 51680\n16077 72346\n44078 79099\n48673 50393\n4120 6807\n23013 71698\n35753 65090\n28161 62814\n58568 80615\n63907 77152\n9834 70083\n57471 68569\n63539 80186\n75643 85811\n43990 61738\n8217 67086\n48340 59227\n32920 47761\n59151 67615\n2877 35008\n55716 84502\n27786 47889\n9848 29721\n11041 42593\n59408 82436\n9284 29142\n9922 31634\n61194 80487\n64330 81136\n41289 44962\n3701 50357\n46095 75889\n2630 78019\n11476 49100\n15871 66547\n212 51136\n6574 65048\n10327 22643\n19064 60310\n15165 74547\n40302 43187\n3070 22026\n10122 71637\n24985 80516\n35203 46743\n25409 82220\n14342 77893\n38706 46109\n11779 58976\n7530 42965\n21873 51327\n29620 39081\n16408 51054\n29564 71926\n27504 41811\n66765 79766\n13269 66032\n34063 46310\n60808 69782\n40898 48835\n56955 80062\n45637 72057\n21786 62544\n22937 44239\n11480 80775\n21598 54709\n21908 31518\n9441 61085\n11004 26011\n44887 55959\n14550 23561\n29318 51418\n33653 85794\n57281 84035\n18002 62558\n15604 68287\n39892 85084\n55362 71453\n25566 38187\n56 85977\n38676 52423\n70406 79514\n12338 78001\n22656 79294\n35148 76443\n38125 79324\n25199 32913\n11141 70954\n6276 70600\n13995 43754\n7074 69281\n16126 63438\n1087 85741\n28428 62503\n2016 26071\n8145 83995\n24243 83726\n53010 62032\n20958 37900\n73907 74959\n23003 76504\n22807 80604\n19494 77486\n12372 42597\n3871 62668\n46693 67284\n51397 57970\n28746 81282\n10812 45103\n21260 57467\n24184 55787\n28461 34639\n11876 69953\n6070 27614\n23646 79550\n50235 79986\n16342 62799\n27150 59640\n44855 70463\n40620 59545\n8010 59585\n45109 49450\n19290 62378\n23971 71386\n28826 76889\n55994 78954\n37762 42115\n39216 69980\n15157 40251\n55332 77841\n20882 30717\n9790 23044\n19900 82351\n3984 52963\n6187 48788\n18269 77020\n19320 74349\n12834 27238\n8375 72470\n44260 82958\n20489 83263\n13448 74187\n69464 71744\n7854 41627\n11397 19286\n312 1573\n12238 57450\n34726 50204\n4667 68090\n26752 48894\n14271 15020\n8854 40551\n5865 68865\n37510 58358\n50760 70171\n4712 61817\n16280 52515\n9796 78263\n54368 59174\n7145 53535\n33826 48772\n25852 30971\n20021 22778\n8800 78222\n43666 45530\n27042 81503\n8124 19062\n23502 56416\n33451 36829\n23911 64560\n20287 76347\n26028 45125\n15979 59755\n18079 19699\n52224 73212\n8209 61981\n13608 60428\n4766 58275\n28342 61360\n29869 78325\n7408 80286\n84580 85974\n32739 47285\n11492 42181\n48175 56825\n5239 72078\n15745 81246\n17009 40864\n365 13656\n63214 77204\n5327 55370\n69004 85355\n3575 64902\n38001 63560\n7344 65834\n3217 51548\n1138 43182\n1443 39586\n11551 39009\n12421 79617\n18117 29139\n69099 82401\n20122 65356\n49343 85359\n53552 75064\n39647 39670\n34993 48368\n10892 60492\n6155 49588\n83006 83860\n56431 58185\n24152 69306\n15170 46108\n18708 55982\n9779 64374\n16080 24143\n4504 39758\n52706 63084\n8662 83103\n13168 85146\n59909 84682\n3006 10421\n5348 77135\n20329 81226\n27846 30595\n852 32430\n567 33734\n47267 72700\n38302 51654\n81884 85507\n26953 67368\n35340 53556\n18553 81171\n5314 75238\n65426 72924\n39762 57780\n27990 69794\n34410 47701\n22627 52066\n60564 69515\n20000 40536\n12085 55714\n14674 30415\n2396 65406\n21857 79515\n1478 60049\n8305 76865\n40147 67923\n1565 50093\n18197 26777\n6834 55883\n7683 81978\n32789 70136\n1863 12273\n28743 56953\n53641 85268\n34452 35098\n54864 84700\n10620 63421\n24570 59822\n18033 65701\n46892 52516\n65101 67660\n18642 70500\n62129 83992\n13066 58706\n406 45027\n3084 71169\n19262 48635\n29482 61075\n60829 79086\n29217 50713\n20105 49463\n18549 55754\n23828 38337\n1879 77727\n12928 31232\n26311 35704\n35990 52594\n22009 61948\n20534 29207\n69740 75734\n263 65656\n9091 57096\n17126 60611\n33310 67765\n2346 52252\n11948 64826\n19520 22123\n58453 74470\n65843 72758\n13718 72934\n2529 39317\n11007 64728\n32436 84864\n20310 85577\n653 9162\n37573 44946\n13554 54278\n33832 39061\n65159 81168\n36670 80703\n34318 53650\n16852 35866\n51359 76608\n14172 63740\n30220 55331\n48301 68265\n49760 64099\n25311 72586\n6993 63758\n49213 75500\n48972 52014\n67975 81110\n65695 69361\n59676 61028\n47234 84103\n17934 75667\n57819 58178\n32497 72610\n40168 40749\n22222 40499\n24452 64380\n49918 69149\n27047 28493\n64095 85239\n19944 75256\n14660 80129\n53150 54476\n77052 80496\n26475 29450\n60149 79986\n27309 41725\n29675 29721\n8444 61744\n45778 80504\n8922 83470\n5389 10827\n1444 83534\n25022 56650\n2940 27692\n6919 27343\n10483 23915\n24307 45510\n586 78975\n41914 77235\n31071 64131\n1200 10317\n3344 85653\n47914 74939\n41172 78443\n33801 73006\n11538 49983\n3385 64312\n75380 84802\n39663 50578\n46162 63923\n33397 79600\n65967 79627\n38826 77703\n24974 54944\n4605 22442\n44295 85342\n43864 57749\n74863 84019\n13396 84337\n3915 22912\n20904 74544\n61271 70523\n27605 65073\n7847 72642\n7408 35865\n4184 58129\n61740 73579\n13315 67356\n319 632\n20161 50087\n25734 57717\n12671 56077\n3455 63876\n14649 37848\n43056 80589\n37273 68950\n6527 76220\n21985 69791\n19886 52778\n35184 36344\n3006 8275\n53482 71069\n1271 80205\n21041 54333\n1220 44140\n16081 27026\n36929 82270\n64755 80631\n18947 43509\n54740 80057\n53041 67118\n29776 67695\n63928 73556\n54291 64682\n22551 66331\n67223 68998\n32356 68209\n31472 63773\n43612 45018\n3693 22387\n48474 65277\n21665 63644\n42221 42374\n647 79628\n10803 75485\n60345 84976\n70350 81831\n32632 45741\n5897 37113\n54011 74126\n22765 37338\n18244 30502\n3251 8463\n29521 61868\n58411 64893\n11725 76424\n13785 13794\n16541 41862\n36435 42293\n44079 48232\n44682 71981\n20128 51120\n22451 30639\n10689 40876\n63222 82272\n26386 57856\n1823 19929\n7104 18216\n73369 83143\n3216 65202\n12402 70388\n77564 79856\n42531 83178\n52402 67831\n53991 80554\n44260 66257\n44571 82633\n35562 70005\n49536 50255\n16740 54359\n61475 84376\n7310 49812\n10152 76060\n18382 77060\n19881 36200\n63643 70489\n28640 51444\n400 56733\n51749 56927\n34330 84112\n28410 50955\n41047 76044\n26268 71756\n23388 64790\n57371 68094\n1676 18833\n23333 51376\n25845 80593\n43835 45372\n4582 21087\n286 7594\n38643 41116\n32429 35380\n4470 23971\n34 6916\n17148 60798\n5763 26274\n55551 57372\n18490 50562\n51989 83453\n12620 30599\n26668 29121\n3826 72412\n11932 61707\n14888 74429\n4779 21060\n23520 37430\n60883 83048\n18352 23804\n83820 84465\n19278 23874\n60280 76070\n63976 66871\n51896 72610\n5583 74180\n21553 66611\n19357 26393\n7672 36957\n38212 44744\n34030 65069\n11781 24115\n18811 28778\n9601 83696\n69093 78095\n21289 55035\n46957 64077\n41253 77056\n26234 59128\n12077 37765\n41067 42061\n21574 62443\n26130 67209\n36566 59492\n3066 35888\n696 34755\n73058 75546\n18874 79770\n11345 15002\n21677 30405\n46577 78584\n4138 46645\n44428 84445\n68685 85807\n991 4011\n81583 83639\n1109 37787\n38765 72934\n33530 82864\n9972 47662\n25491 85542\n2853 48862\n43157 48315\n7156 67443\n13975 74470\n16327 75114\n61844 72579\n25393 80039\n52053 52412\n19572 33505\n25290 33693\n32555 34503\n5755 63520\n15630 79722\n26455 38605\n29242 84315\n28884 39778\n23815 57637\n44394 59487\n40423 78977\n41887 66521\n35471 56075\n49668 62052\n5555 63979\n6435 76860\n40127 61286\n6056 21635\n11167 59421\n8248 25774\n42660 62660\n1075 56813\n5448 39781\n13744 80238\n8338 42090\n32475 82785\n70896 81095\n2597 34259\n13615 78300\n73710 78152\n19628 46836\n4218 33400\n68428 80639\n156 63123\n32237 46335\n22240 28680\n32351 84740\n15844 47529\n66581 69740\n11279 57896\n2717 9721\n61549 69357\n57002 60405\n41759 61429\n3349 55700\n64251 69375\n18003 80826\n59354 80575\n4728 83991\n23631 31860\n322 57453\n8152 19078\n16519 18059\n27249 84609\n73184 76869\n7856 53876\n18456 54809\n15652 42010\n67280 81665\n43143 84709\n12199 20628\n69214 70949\n31339 85230\n62775 70048\n23798 51720\n17188 67244\n45809 76513\n42737 75549\n22148 84723\n19000 41458\n24765 28542\n20839 59588\n1947 49352\n20707 78080\n44755 46207\n61811 83493\n53809 67199\n2657 58041\n5144 57323\n28780 64471\n4672 62276\n33427 71754\n33322 60479\n17299 29024\n21370 73625\n13045 31169\n31469 35146\n19328 78163\n42102 61721\n27270 35924\n40720 44723\n1157 46996\n40209 82277\n37685 68943\n12296 22082\n44358 47089\n40134 52086\n28544 47259\n3726 4307\n24867 64767\n13713 62543\n41600 80777\n24014 44649\n55446 62111\n28544 55578\n40757 52189\n13333 51645\n31650 31995\n16034 16520\n27557 33864\n3021 60758\n31235 34813\n30371 53101\n43062 79028\n7809 58490\n689 27392\n10865 37736\n7191 37997\n18824 32106\n54579 80092\n34762 68020\n19123 51741\n10672 27917\n1974 35180\n15688 65877\n42217 65473\n11231 36665\n10696 27296\n13435 83049\n12550 15500\n30491 35790\n39247 63932\n22109 73374\n16470 74802\n49385 56340\n18102 40263\n19628 26084\n27988 48667\n2999 13262\n1460 74396\n63217 82230\n3645 41336\n4460 32561\n33752 67756\n46165 57105\n44388 64109\n21113 39510\n74148 83636\n12938 14403\n60262 63308\n36539 75537\n44185 50907\n35837 40715\n27524 60650\n28043 38569\n1624 67747\n14604 16807\n23768 67303\n19314 64966\n40515 46750\n38351 44952\n14451 32296\n45835 59109\n4135 24415\n33119 47924\n49596 58708\n36453 61118\n29874 34937\n9885 16000\n13014 70561\n32057 52234\n5245 80834\n30071 68772\n13632 36344\n47968 57889\n9530 81351\n6063 55340\n48951 66156\n9479 82322\n17484 81745\n9684 41310\n33958 79245\n35128 60279\n76010 78595\n51658 62063\n29841 57866\n30085 76630\n55688 71789\n334 50154\n54881 58549\n24985 52064\n22958 66236\n74624 80236\n51103 83245\n32704 80808\n9942 38619\n31625 68826\n38936 41662\n11386 75598\n36798 59406\n14173 70472\n50796 75988\n3726 36258\n157 56777\n19105 42955\n33413 62536\n7426 85865\n26090 62904\n65086 84525\n78180 82506\n17902 39304\n48416 70641\n44004 58806\n24185 75648\n19229 27388\n22735 68473\n15261 59625\n12412 44848\n8802 84202\n7748 39993\n14710 31668\n23927 61071\n31565 35868\n18073 45276\n3550 59757\n15484 71928\n26282 65874\n27227 57214\n21224 31664\n10848 43767\n38291 51147\n851 38978\n40745 82738\n16615 71941\n65154 75855\n9582 26578\n46180 50646\n42343 72452\n769 16434\n37408 83810\n42608 64136\n9506 80014\n25701 49669\n1819 5435\n8672 29885\n24372 62823\n21892 25285\n58394 83266\n47929 59409\n24402 57543\n77329 84174\n27466 60314\n15242 23302\n27109 55019\n4156 84474\n29716 46465\n3099 51971\n31570 77735\n2035 7645\n23175 38765\n31266 75246\n50159 85139\n62406 76103\n36524 65925\n3444 61936\n42777 55715\n15097 25984\n38693 51337\n10921 53964\n35606 83114\n7104 42301\n23025 78404\n42596 58934\n51346 85686\n55616 67821\n44217 68730\n33271 85615\n32066 45236\n16487 26134\n49836 68075\n23034 40618\n8223 71432\n4049 39473\n17460 35695\n2495 6416\n16763 29049\n67797 74703\n26688 52397\n55436 68804\n16984 26365\n5347 20334\n15686 59617\n20745 25505\n67473 69349\n24704 84415\n2622 37340\n2416 56305\n56964 71215\n26197 40353\n50356 70061\n27339 68834\n56491 63474\n64764 68888\n59415 82727\n9643 20778\n24866 75650\n49567 82790\n39595 72874\n13433 22055\n6909 68602\n6991 74811\n12946 47361\n66197 75140\n15959 74499\n17429 21437\n30305 67940\n24836 73618\n48677 68580\n39931 82400\n28454 56559\n26364 48093\n31038 72073\n31479 54134\n26091 75607\n61536 65971\n10337 24270\n19362 75048\n35846 62968\n72670 79163\n38573 79717\n30806 36267\n65875 78430\n16907 83594\n37449 61689\n76812 84334\n12529 45581\n7184 72814\n52079 82510\n76811 79756\n53877 69195\n15468 75769\n25268 33082\n3621 32701\n12595 67913\n423 6139\n4841 33829\n9771 45493\n35768 48722\n33923 58220\n8762 71681\n24627 63632\n19905 30607\n17836 19073\n4527 74006\n16514 82897\n24848 28594\n22431 49935\n16431 62505\n36447 39851\n55321 70561\n31120 83397\n32707 61943\n5231 61686\n23262 44197\n13986 44251\n29290 63037\n22437 61660\n33170 85755\n3010 37291\n52003 82918\n11720 18588\n38301 83475\n14140 26310\n1638 55726\n49453 62650\n31831 67256\n480 4980\n16558 46583\n60729 85153\n14590 41856\n70477 79329\n12878 76144\n66868 71411\n73352 83330\n4022 10841\n45502 54088\n40596 61381\n43928 74664\n18885 49831\n19604 39885\n75109 79192\n15733 73962\n29474 68388\n1938 56261\n15379 67258\n13366 59814\n34930 42297\n49702 56205\n60099 84494\n38865 80040\n1428 27239\n19071 32404\n12153 81119\n6813 43849\n30059 37547\n5818 51783\n42090 51318\n53942 61242\n1261 70185\n74135 85916\n38166 69291\n38932 57136\n22560 23448\n43802 75915\n16298 20991\n4110 68188\n43284 49077\n55087 80792\n873 67554\n75871 77338\n43898 70296\n21379 56314\n44995 58128\n62744 81156\n56353 73111\n37327 55195\n62246 81597\n11331 52385\n7771 14145\n56794 81351\n51937 74926\n21762 54282\n13568 33444\n15750 28685\n13276 56848\n56378 65912\n14697 58068\n61776 63144\n16902 51470\n19422 24993\n49960 73295\n33013 33070\n263 61963\n30308 36879\n21244 65374\n6110 22846\n20882 78107\n20888 24696\n6786 14096\n8786 37662\n34458 53134\n26085 41731\n23212 72542\n24203 61829\n30244 55104\n14220 76269\n8670 68211\n8338 30589\n6497 45970\n2356 36066\n35729 71696\n31743 78624\n61749 72681\n10900 12599\n10494 63799\n20048 68458\n3759 19169\n4087 6065\n16411 31182\n41135 78869\n46954 50427\n12047 24847\n3283 67166\n33872 68979\n46568 53748\n42483 42554\n39786 85880\n19060 77101\n64762 72136\n66217 82704\n12150 84863\n30824 39317\n21261 64222\n2803 15902\n7518 23944\n11772 21861\n24546 51165\n56369 84964\n26149 28068\n46002 73763\n34643 84578\n25281 46472\n6158 12379\n26268 85561\n63256 72947\n58336 85560\n47165 58762\n38453 48606\n26600 44870\n56315 69482\n37762 45799\n52348 60229\n23919 32253\n36289 37825\n28946 46272\n33793 52415\n5753 9715\n3161 53524\n20016 20178\n57223 68345\n421 54994\n66990 77776\n18443 79891\n77450 83755\n35446 51944\n66427 71274\n25543 84812\n25592 68734\n40183 48027\n22748 47937\n15328 44064\n20861 59401\n20324 24932\n6025 74487\n15652 68966\n3108 54482\n10001 17327\n44058 52439\n3624 51878\n1221 10468\n14356 54418\n5918 81014\n25840 26967\n27772 72509\n27268 63047\n7333 39780\n16596 34789\n26700 68175\n16759 83780\n39326 66306\n22990 71569\n59265 72118\n1140 36523\n18562 46526\n11016 72057\n5230 30212\n3887 77601\n1288 66419\n19631 65418\n6278 60576\n5808 71276\n10293 75688\n75259 76388\n3138 41719\n19973 44164\n20641 80889\n16791 42645\n16670 51769\n13487 21977\n24030 72663\n60208 62175\n78208 85865\n52994 73780\n36333 45195\n8803 51250\n59535 64382\n6314 8805\n49735 76688\n27395 50911\n40843 61879\n57243 82570\n25896 80844\n28541 32668\n47168 82734\n18596 57082\n38767 85486\n30677 75500\n21632 24080\n9854 27369\n17738 22709\n23942 38717\n64505 84039\n5789 71562\n32149 80381\n3321 31459\n20386 56693\n41542 64225\n25952 86000\n11443 19088\n32330 59134\n14613 64988\n55058 84310\n19696 49952\n3910 58239\n547 8981\n23014 26708\n350 39130\n57794 69514\n12528 50986\n17330 41880\n14209 33279\n20740 37717\n7528 34718\n28356 52887\n21538 75709\n673 41320\n113 46939\n69506 81268\n50672 77129\n39804 85824\n64735 71558\n35735 82768\n2134 22700\n1881 32559\n1509 74597\n27490 40497\n15457 58692\n48556 78788\n26499 36597\n8158 69814\n21776 65780\n48024 73673\n7620 77791\n13924 69982\n74492 76324\n13806 15201\n29852 73656\n17294 37863\n31025 68718\n23711 52180\n23796 53827\n34691 60927\n39554 60743\n24130 66788\n13245 50434\n68557 82667\n14173 22031\n29928 32586\n19434 27562\n45309 77000\n47613 60922\n59616 82936\n15128 51611\n58761 71643\n50709 70190\n31152 79015\n19354 51885\n759 71521\n68858 70117\n31613 61524\n35165 52063\n63302 80897\n26517 80827\n60068 64847\n18785 52740\n4363 49638\n47293 59211\n50331 70995\n69875 71317\n63613 83079\n27008 29814\n4605 29213\n9773 27243\n27421 65910\n2544 59060\n11583 61666\n17758 24826\n11902 24085\n7675 38204\n15495 58398\n54887 69047\n59205 80429\n55498 71406\n43880 47337\n59375 77482\n15391 81094\n26397 64833\n18845 71319\n30229 58261\n31794 42348\n51564 71560\n54934 66623\n27731 47433\n175 68448\n57252 58139\n66750 72047\n26405 46105\n51214 70721\n35329 57208\n5172 29455\n19001 42113\n2216 20627\n8378 14387\n48089 59828\n47039 77688\n26247 45031\n16720 64769\n20487 33449\n33279 64002\n10461 76905\n10901 80766\n43488 70882\n3039 28097\n8402 9127\n43170 72943\n3566 47080\n13927 49250\n6907 66064\n54162 74305\n2875 79621\n41885 51696\n45188 75045\n38077 81346\n40365 74394\n24878 74123\n42052 46159\n61147 83511\n6884 48978\n26140 50072\n28592 56557\n51764 62915\n3531 61698\n9235 36371\n8802 76473\n12410 65615\n46580 56688\n2221 49443\n3740 27811\n45028 61903\n21743 64101\n34633 78573\n34078 82930\n51091 60295\n61811 76845\n29804 32544\n5346 36430\n26257 51954\n52985 57214\n43557 71335\n56741 74719\n21741 27435\n45554 52758\n5882 16601\n32489 65924\n60337 75308\n17029 51750\n36670 84190\n74831 79407\n20584 84953\n2281 69910\n32960 41838\n4640 15942\n2614 4961\n10196 77691\n58083 74292\n61711 75645\n12725 51809\n6762 47329\n43143 76941\n8506 81424\n13764 67779\n10827 76984\n23232 40185\n35624 36545\n4712 51482\n25129 59732\n25616 41723\n22701 28376\n19786 79415\n36011 52724\n9897 17536\n17097 44660\n7261 22554\n36709 47067\n8201 17406\n7285 9453\n66275 81245\n11460 15810\n44202 85455\n37676 74575\n51160 65753\n50397 85999\n18757 33160\n49394 77865\n5759 65726\n23977 75139\n53276 64236\n2452 75099\n4132 46255\n61307 76558\n39517 39658\n7113 79746\n59641 81445\n13670 71754\n65291 84224\n13336 62383\n14922 60830\n28626 49972\n33225 71479\n4726 11981\n51955 65350\n69991 81540\n39777 59352\n10249 26818\n13324 38239\n17583 39994\n40620 58921\n23583 25354\n8006 51053\n3375 56824\n11172 67160\n44031 80412\n4390 85813\n3823 84766\n5443 76800\n52678 58843\n8357 43437\n10172 60744\n71520 75024\n5392 53833\n39494 49510\n41594 56022\n40311 73694\n37597 82681\n46704 58110\n21902 84935\n75252 82657\n38305 79762\n31018 45358\n73962 75654\n29469 42940\n11789 36500\n9757 24513\n44216 85606\n10477 63540\n58552 61750\n17768 60565\n22652 74186\n40107 71955\n27830 72619\n52211 71933\n57220 84215\n32055 60558\n20723 74737\n64099 85084\n27931 52129\n60249 82061\n51101 63290\n3284 9768\n47069 80612\n38592 39755\n1418 37163\n23599 61018\n19797 65603\n7444 23386\n7296 61594\n52934 81743\n15984 83630\n18331 44757\n7252 74819\n51682 55491\n20837 24768\n45374 71232\n18313 66490\n43382 71242\n66418 77783\n45986 85829\n3261 76442\n38698 71162\n22328 62988\n32872 51352\n60169 65224\n10806 11191\n39519 60564\n64731 72873\n17715 77166\n72569 79972\n48172 75990\n4262 59358\n71302 74338\n22053 29425\n10553 36240\n55023 76003\n25377 77155\n3246 27152\n48365 63639\n65926 85469\n29511 47121\n9038 17931\n20036 60324\n16375 41530\n62271 81507\n52932 55660\n31661 79362\n60881 64041\n32647 34413\n65482 75077\n39471 73269\n63814 70076\n22190 22934\n29932 55941\n26816 84645\n8896 63922\n45501 48628\n18227 37340\n21780 29368\n43716 68741\n9722 85606\n11106 30065\n10568 53688\n64228 75619\n37011 47952\n3442 33944\n8723 11929\n2306 7276\n27311 35305\n627 33209\n32900 43059\n12712 37576\n5146 18276\n44084 70545\n28175 36746\n25181 27732\n11501 72213\n16413 52645\n1200 54468\n12460 45151\n14580 68450\n23458 48784\n19602 47658\n102 18110\n37308 81303\n14001 80786\n23241 31413\n621 54868\n11216 61954\n50509 65051\n12790 69282\n406 1808\n30236 76880\n28446 59076\n26903 47601\n29275 53606\n34136 53354\n5188 23531\n25615 77148\n23395 57406\n2916 6967\n60506 70224\n55250 68475\n22753 47412\n67643 76783\n16466 41173\n20541 74863\n30724 79745\n59008 78384\n24808 31597\n9087 18102\n21845 72358\n1448 52755\n68153 84852\n54163 65302\n41046 78812\n9632 76069\n46935 69733\n13486 63589\n35346 40802\n64425 68179\n6589 64538\n32091 67771\n30689 69574\n35787 53382\n31247 63182\n30151 67493\n29169 37320\n58595 85009\n29388 73506\n36292 39509\n8659 80097\n37459 49476\n41339 80069\n7457 15738\n12060 27009\n14545 72183\n35 57879\n38741 61338\n25860 44795\n79385 84986\n3427 56313\n64816 70535\n33540 74931\n3334 30363\n18249 84354\n13322 48255\n49848 55616\n57348 78080\n62845 74480\n25215 44669\n2111 5920\n25681 67531\n30587 47054\n16414 47281\n37575 56102\n57459 64928\n14901 68930\n17651 50977\n66562 73833\n2318 14086\n75001 75141\n50326 83902\n22724 51430\n29140 53734\n15693 18245\n7696 49828\n26511 60816\n17931 27015\n11960 56788\n63771 78020\n9768 11962\n57465 62101\n75171 81910\n4405 75720\n38037 51647\n22448 43452\n42625 62471\n9282 21904\n33809 83531\n5877 30697\n1055 22462\n65461 78553\n24622 76408\n18396 32635\n59154 63054\n52812 79006\n24809 43116\n1013 4048\n7797 46024\n22250 31745\n76623 79415\n27366 85051\n15659 16608\n13298 14361\n756 54261\n444 50673\n13394 81656\n18347 68639\n12996 31361\n17371 83851\n26726 48368\n24173 56142\n56235 71058\n22747 82567\n69671 71746\n18780 39334\n31499 49032\n22740 32797\n84214 84726\n66440 82127\n30261 78945\n45939 74292\n10898 75711\n16500 46185\n25504 65223\n43332 59611\n5744 23070\n27599 81708\n72320 80314\n19872 35009\n4476 49964\n9468 29909\n54793 80326\n42132 84877\n48645 65013\n35556 53875\n26764 77830\n24899 31165\n3804 22849\n18707 71134\n18629 27913\n38796 61803\n426 84697\n20182 83866\n46374 47405\n45037 78913\n8441 32629\n4795 69469\n13834 61998\n2860 48920\n21699 37003\n14408 18069\n22528 47338\n6275 82111\n23075 39299\n62280 67153\n3564 20370\n15609 32382\n47857 59446\n49236 77096\n57203 64864\n11998 31953\n53005 65703\n25539 79012\n36925 65514\n39409 66450\n19842 67243\n24894 60120\n29296 38254\n73015 74885\n54528 55768\n8314 57950\n21332 85061\n33512 83298\n4802 8713\n18469 71694\n20838 39321\n13641 84336\n41287 64796\n23726 69933\n1543 31966\n23848 46891\n62987 80819\n53294 69331\n12374 72704\n12353 48955\n1884 72444\n30827 71610\n65308 81344\n589 22897\n5362 56451\n77456 79578\n12841 56173\n6889 31595\n23355 52245\n31115 84020\n10583 79256\n12868 42790\n1746 18762\n40157 49483\n14197 57518\n43132 53102\n7411 49287\n9276 26614\n1560 18885\n72845 82536\n4184 19905\n7299 28231\n52444 67914\n49076 83702\n35054 35118\n3535 27634\n68314 80191\n48106 77299\n55751 66331\n109 27218\n24259 29244\n2916 60614\n36659 72780\n8415 65956\n33855 56440\n21859 63546\n8713 66887\n38930 73723\n17198 27158\n3374 40481\n75606 79271\n20430 54084\n49934 64876\n38636 51753\n10461 51930\n5046 34983\n11257 62717\n53147 72776\n62450 84782\n30944 72420\n54506 68170\n22259 58726\n4822 7479\n54530 79145\n26073 26812\n37966 67166\n28788 40014\n26007 81445\n11049 22619\n29010 84969\n10984 17631\n27560 66237\n10427 51237\n25204 54277\n38441 75266\n18414 46581\n48449 74672\n57472 72948\n24431 85541\n44307 53221\n17966 72245\n24605 27344\n27388 35421\n61109 74719\n39402 81064\n46052 70795\n26060 30509\n51176 64290\n13509 43081\n8886 79150\n12466 34266\n18507 23616\n25921 46639\n44531 84205\n4292 70677\n71594 78736\n60269 85093\n36140 56642\n17251 53237\n31941 53160\n10549 43599\n42130 83957\n3466 32708\n47577 85410\n1958 70982\n6561 79356\n32867 70902\n47654 58684\n42119 64501\n22127 46450\n30039 70000\n1505 55769\n24699 29151\n44667 79708\n7975 70011\n47856 75744\n54398 80376\n50965 58522\n1297 33551\n16703 56377\n21271 82578\n6787 21950\n19287 33239\n6998 32474\n51208 74462\n45452 48008\n5866 65624\n8055 41828\n30568 58101\n18580 23093\n35204 64622\n23680 43836\n26964 46033\n23782 46247\n35582 52660\n31866 77701\n1353 34833\n59188 60175\n12668 51405\n9107 70989\n688 85579\n12792 27361\n9924 76718\n29847 79333\n14675 21027\n23966 78793\n55479 78876\n29618 54628\n28411 69413\n27181 82990\n41854 68479\n25766 58961\n10104 80315\n32076 76359\n50046 64874\n73632 78314\n7986 27865\n69311 74013\n51404 68138\n22510 67198\n37350 63028\n10276 41370\n910 15734\n19298 44953\n2015 79237\n49697 76862\n25731 55129\n45963 69266\n4851 69581\n39707 53670\n8632 73044\n3872 25148\n34391 46549\n6122 34852\n40285 55508\n20497 44238\n50456 54681\n7533 43105\n35583 45538\n37996 40777\n55264 60590\n33039 36120\n637 3411\n47468 74346\n8622 20396\n19681 23193\n46807 79082\n23456 35957\n9166 22210\n44598 51572\n19567 65792\n48261 66328\n13404 77669\n34750 50263\n2161 52823\n3012 18534\n13660 63053\n3592 61072\n14761 41796\n17798 82580\n17943 82916\n29249 76808\n53947 67568\n30905 46915\n25704 56760\n1715 7135\n28856 54989\n6719 26299\n755 15226\n9481 46558\n13522 64185\n26634 57696\n5108 30518\n41844 64273\n14945 34817\n32394 55043\n31102 84722\n11796 62438\n25446 44976\n42127 54339\n6529 12854\n37952 78029\n84468 84485\n2033 2895\n51882 84486\n37170 52388\n16125 22849\n11136 14810\n34855 82638\n28553 48622\n18389 81898\n19165 64910\n39722 54473\n6753 69888\n27315 29885\n15966 17049\n3630 37986\n457 80684\n10444 67174\n30284 64996\n11873 80689\n61087 64582\n466 38517\n42253 45604\n43520 52666\n72558 80238\n47825 79670\n31122 40640\n40706 59089\n32403 60375\n75494 83278\n2611 37942\n11318 54858\n13675 81197\n24465 39088\n65419 82610\n467 12039\n25852 47386\n81516 81767\n23342 26553\n3989 5309\n34102 51226\n40381 76623\n9213 21831\n77462 80595\n25509 72719\n7233 66507\n24878 66472\n62474 66847\n4029 70335\n6091 51121\n44217 59229\n17515 78184\n45477 79122\n5466 40184\n38582 40083\n21575 44770\n24020 47142\n20996 31278\n21290 44608\n35750 73472\n28131 36354\n5403 37970\n17960 30869\n11959 39115\n5851 56226\n22150 75385\n36726 70671\n17088 20764\n72404 74673\n10213 49385\n63631 80593\n25825 48185\n2137 38850\n7632 21777\n18195 83224\n72908 75603\n15997 59152\n27160 40744\n29516 44298\n15200 75874\n1744 81988\n2642 25496\n55666 85764\n63968 74620\n81536 85809\n7147 21053\n30371 36082\n12746 45096\n9919 45183\n27485 73812\n73531 75155\n27375 64128\n7071 82635\n17333 25931\n63686 67693\n14510 31689\n19964 54041\n6835 47205\n19464 84382\n14008 32026\n15319 59766\n50598 50891\n5714 77718\n51088 62109\n11678 15345\n36585 61383\n69197 76124\n21412 53255\n20101 48093\n58265 70053\n2339 79184\n9711 80052\n23333 68374\n12197 72205\n25474 32345\n44041 82996\n6952 56200\n11205 49679\n23680 49764\n35859 71326\n52461 81344\n1203 49961\n35417 55277\n13286 22637\n26222 64891\n45928 46730\n52962 70287\n13411 23166\n12737 40471\n34928 47345\n1833 78349\n58154 61662\n81328 83818\n20878 65648\n14654 73957\n11437 34478\n5292 68351\n7543 24762\n34051 46639\n11539 70514\n24672 54812\n38202 71396\n24576 59190\n10780 18166\n36918 63473\n14487 14812\n46214 56814\n32195 73330\n23504 28792\n3928 78919\n20554 41690\n28697 53692\n3572 46455\n32611 59625\n28728 53124\n15736 37140\n8146 50534\n5875 61751\n19693 71496\n40777 43525\n12854 26257\n12667 27432\n20167 40944\n65403 81903\n8794 68308\n24574 82009\n83807 84366\n25962 71403\n5022 35780\n22455 49521\n47942 51019\n1419 71519\n37195 49289\n61754 64316\n18210 52868\n17877 26626\n32843 42085\n26369 33194\n41295 77836\n64423 81632\n30727 47244\n4039 52948\n37796 61133\n12921 37007\n43209 70934\n47129 75784\n37548 39638\n72805 83043\n59973 67690\n14860 60520\n58137 74823\n33182 64177\n34268 50226\n21662 83719\n17826 57636\n75518 76795\n63400 70397\n12925 66847\n40461 41998\n40550 49207\n9633 28323\n33502 67550\n7926 18920\n25639 62553\n36292 48538\n33104 76310\n35724 58737\n4252 9833\n57182 85381\n6723 12472\n11286 50376\n19688 29220\n808 77312\n62076 81952\n26452 64610\n19937 72048\n39977 56894\n18440 59060\n26405 44105\n2333 53597\n31418 34490\n2262 7701\n46970 84115\n6490 75174\n69635 77773\n18736 37361\n33884 44913\n47219 82800\n30537 32534\n5320 55189\n17350 34026\n36461 41783\n31659 72365\n6290 67472\n27639 44844\n14412 45392\n12507 77866\n52142 75567\n51607 70429\n28839 32103\n47903 74926\n56685 69469\n21901 57139\n22792 52282\n10894 76433\n12956 39187\n14424 84029\n43020 67879\n7402 54213\n42257 85667\n20735 74479\n38187 82158\n37200 42384\n19595 38317\n72646 80702\n32638 46139\n22430 72687\n4135 37882\n24310 50906\n20368 23513\n24148 51507\n68833 68901\n31020 34477\n8601 52423\n51377 62841\n16936 53291\n35027 39070\n17503 24938\n56910 82671\n79690 81849\n25123 54035\n51848 57115\n8601 9818\n38271 59174\n10537 81376\n36244 50612\n2774 20804\n14792 31974\n1400 38521\n67358 79975\n69656 69909\n50484 83829\n30204 38954\n183 77542\n14780 45015\n7755 27089\n43104 43733\n63571 77938\n26687 74320\n54287 74747\n28563 71356\n7743 41999\n14103 37711\n666 82088\n72926 82153\n28146 76924\n39723 84520\n20727 67990\n5162 32107\n51049 67574\n46670 49251\n8170 72582\n45344 69993\n49676 83279\n43489 46947\n70261 80886\n50532 65910\n38696 68618\n68500 80315\n8385 14645\n15524 22703\n14188 39637\n8489 21445\n5716 6482\n35005 56689\n21592 81372\n12025 57403\n28828 74520\n26127 53293\n32991 42135\n2917 58070\n16263 79633\n4890 34165\n33569 41891\n45839 51933\n7507 83300\n9031 19168\n13234 67233\n66287 81773\n13529 52371\n7820 20494\n54098 63196\n12360 58133\n16878 58714\n17850 54960\n23796 50968\n67882 80592\n66091 75595\n42245 44918\n37456 76855\n10004 40156\n17242 53601\n31045 74445\n3884 61682\n64481 84899\n11054 35642\n9533 47060\n76219 80723\n2394 16529\n36616 40450\n28003 35222\n24013 24332\n672 49049\n39742 43713\n56413 67455\n9442 65479\n61605 64147\n32202 76219\n45734 62577\n154 76521\n9581 63592\n28800 49235\n12059 47856\n3563 82048\n17028 25930\n25428 57041\n15464 47487\n13632 73632\n2659 33999\n37937 79971\n40698 59353\n22574 85888\n42609 82627\n9555 60696\n13154 37384\n3721 41721\n27333 82927\n22153 36878\n11419 47635\n6847 72328\n31750 53280\n2226 78697\n12479 82420\n46146 56169\n8264 16236\n59628 62312\n15250 62840\n18963 83101\n29640 39730\n6318 56880\n1514 26617\n6747 49338\n6413 39169\n30326 51318\n30172 52991\n37875 78775\n4053 82892\n3181 31124\n19207 71748\n53908 59360\n31620 45051\n31689 81239\n4473 71860\n27160 29075\n28106 62980\n25569 53042\n54650 66682\n29350 59648\n19595 23869\n8583 62460\n45073 67217\n184 67803\n33950 76103\n17492 48263\n49763 55809\n47544 80152\n44435 76782\n362 58463\n52680 67089\n17568 72714\n43775 74643\n44430 56506\n20601 65520\n21587 50762\n16415 19830\n11059 15603\n48514 81775\n61527 73624\n1220 40549\n2381 32617\n12194 28402\n7650 27836\n54788 79545\n9774 22983\n29540 85748\n53230 71745\n55648 58799\n19668 24461\n30975 50154\n52601 58176\n7710 52925\n6089 19367\n7540 15873\n21417 84755\n22418 40328\n56290 75433\n11641 63475\n30008 38283\n51393 68442\n27620 51406\n33184 55120\n40438 41073\n45430 84198\n48549 73939\n9331 48060\n37778 82195\n39779 57925\n61737 64637\n20218 82446\n11963 19695\n30616 58535\n26626 32477\n53311 71626\n8137 77061\n8246 18143\n24920 43992\n2480 12391\n79830 83522\n22596 57817\n46257 48727\n31680 45499\n24280 45975\n25613 49513\n4801 33431\n6252 34028\n20307 69695\n54522 80747\n15720 54640\n32496 71419\n42529 85753\n39310 76940\n17498 67370\n1020 62835\n21731 70348\n31972 79323\n60557 78932\n7850 20071\n507 46933\n10507 82860\n7748 46568\n8205 20612\n41356 72224\n30348 48106\n68505 79077\n55911 72959\n39273 54756\n46479 82882\n54520 84860\n24325 56532\n47603 55189\n1511 62768\n46160 52632\n43726 62711\n21383 22189\n2505 53080\n7150 66051\n52594 74413\n12317 58457\n36307 64471\n15132 48673\n10715 30540\n53089 78278\n12329 73296\n11979 54910\n76281 81536\n16038 85052\n2937 41542\n27771 64205\n22295 78728\n7700 8382\n37246 55927\n58618 83090\n17889 24163\n21537 77145\n74980 82484\n13828 36678\n60126 69550\n9985 57358\n6631 53517\n11820 33469\n51284 62671\n37765 83811\n44712 68835\n51164 74917\n23772 76327\n57569 84538\n17734 71100\n2835 34370\n69481 83518\n39071 55189\n17878 46739\n861 12624\n30151 76553\n17740 39087\n14241 50672\n56278 69323\n49390 69382\n59742 82101\n41054 54225\n29036 45603\n18721 50532\n47847 65675\n71076 85286\n12915 14923\n38289 84001\n10951 78977\n6681 40299\n19782 36200\n30250 76611\n69104 71515\n7609 80351\n43217 51396\n53212 56886\n65026 67321\n20367 23746\n28807 56344\n55850 66782\n39717 58900\n47114 76595\n18323 46474\n43747 59316\n16537 77254\n20159 55108\n15133 41207\n33685 72717\n43293 85713\n25875 35992\n13250 29804\n30245 48050\n23752 58035\n27790 56523\n52944 54724\n26627 31806\n19145 34927\n11921 55681\n9889 35169\n52508 65199\n46226 79428\n35360 60407\n37608 43728\n67525 77197\n74742 78245\n24453 63833\n56127 76293\n35796 68377\n9842 56793\n23855 69808\n42804 76410\n38331 80535\n33917 77984\n9233 13666\n72673 74215\n24492 59920\n38318 82075\n35361 80387\n72265 80142\n40003 72825\n2029 5856\n34635 62817\n27555 55139\n17788 84704\n6824 13403\n18415 56423\n12515 36184\n6339 23811\n37033 41186\n39654 81314\n27861 32252\n34927 44510\n5360 25627\n38809 83695\n10123 42667\n11298 65113\n31265 33290\n14245 14808\n19566 64636\n34674 42793\n26366 81730\n30034 81189\n60403 72486\n20162 60004\n44681 83509\n10189 12365\n41000 47597\n2916 4473\n59012 64591\n29477 59168\n1048 63254\n27110 73085\n38361 43923\n33744 77332\n27327 36186\n62464 66771\n9634 35530\n19524 47019\n56571 80585\n61075 80088\n15106 34047\n20518 62345\n18532 85550\n19971 72683\n44364 78848\n45775 76170\n34970 66596\n42086 78685\n8825 53096\n26725 30774\n40382 73409\n17309 61144\n6343 17374\n22325 49445\n4534 35681\n22744 49848\n4049 10825\n20158 80146\n45550 62497\n6226 44807\n40261 56137\n51989 78992\n69894 83282\n13936 74327\n31905 68903\n14243 48096\n9428 16173\n20758 36352\n48840 75485\n41528 44446\n18335 39744\n19400 54541\n8859 76149\n26638 29194\n30846 50399\n32473 42378\n12402 32265\n26859 42785\n54316 77624\n7206 46689\n3952 44426\n89 74765\n33983 46999\n38883 78261\n1567 39115\n2151 28735\n17566 37463\n33317 53288\n2258 65938\n64506 66998\n7418 31351\n27568 81742\n4878 7090\n27552 54074\n35678 51625\n5905 43014\n2557 77477\n30284 43012\n29813 67425\n303 8749\n1986 14452\n26546 55726\n52738 84843\n35403 60045\n71148 72243\n59619 68142\n60301 77936\n74197 81472\n16694 61232\n2396 64556\n8724 38579\n8214 85868\n49260 85884\n17648 70517\n41571 77146\n38730 77341\n21543 57839\n50803 52150\n6597 24899\n47321 47945\n21100 22347\n5847 63212\n45339 58708\n29123 42132\n30258 33994\n951 83428\n34268 66326\n13667 24228\n71343 75422\n36901 77782\n40603 63425\n6073 72026\n40329 41856\n19368 69500\n42916 73749\n3226 58244\n65271 72191\n5068 39446\n46812 58514\n38298 71429\n48366 53760\n30763 55437\n59072 67546\n38131 75511\n77376 82260\n9136 44813\n1238 70212\n4962 13877\n56164 57145\n1250 44493\n38951 48932\n47440 73686\n35834 81234\n27155 48075\n42286 51905\n254 1840\n29294 66393\n34873 52858\n57131 74505\n33720 77516\n48073 55281\n3097 14264\n8790 31748\n12756 72798\n6052 56968\n8223 26189\n42677 78953\n20001 39173\n9833 56736\n71170 72719\n699 80346\n6310 20302\n13969 81683\n58494 83965\n55493 57167\n14631 68470\n4916 20041\n23908 33150\n32185 78936\n71979 75226\n8794 31525\n50234 80791\n42615 75363\n10182 59250\n15164 28191\n29349 46915\n54663 64987\n82348 83367\n27019 45659\n64677 79668\n13356 45526\n51747 76271\n35447 64455\n2089 63349\n24089 29109\n48634 78892\n5506 68317\n14083 71112\n31827 42330\n32856 52404\n37058 51921\n2955 41512\n21414 82668\n10843 29776\n11695 76460\n32581 68721\n39272 75896\n6917 50435\n47995 60341\n11624 31449\n52753 58086\n16012 74681\n8295 51667\n22577 52433\n6410 40932\n33763 56139\n62019 62415\n28347 80084\n23737 68219\n43484 64969\n32081 80218\n8185 45302\n16680 19807\n47341 75322\n31672 75677\n4292 4401\n41595 45330\n32770 45589\n48910 55200\n19631 37571\n8225 37108\n6971 56243\n45165 58393\n49036 49435\n44004 52569\n54602 63555\n28814 55076\n9835 10563\n55926 78155\n43644 77002\n41864 48235\n71301 82132\n69198 75797\n57275 85650\n42927 70639\n40968 82747\n16860 24952\n34655 59487\n67624 75755\n16596 50506\n8959 42503\n9721 12780\n49402 60569\n8339 67074\n47522 65571\n25617 43821\n8959 29298\n72448 74576\n4420 18719\n17708 77010\n76212 77622\n44341 66249\n56672 69797\n1016 48787\n42433 58841\n48166 85441\n50340 62282\n14406 43995\n6006 26914\n26455 41478\n30058 37608\n14569 62555\n25406 75424\n12460 30556\n54427 62406\n25723 56054\n10348 15176\n12319 66331\n28291 31368\n11402 52641\n23873 49139\n16987 85706\n18683 29455\n48654 69585\n31599 46600\n6265 11041\n7985 76982\n13110 34702\n7242 16024\n67618 79268\n18841 40372\n13081 57819\n10972 50580\n20434 51550\n48063 66497\n28571 72012\n9078 67813\n6787 35835\n73106 76659\n2704 69991\n31715 63900\n9406 54850\n7584 43643\n39997 56631\n11342 22044\n49375 70276\n3980 79340\n59016 77989\n80682 81510\n2592 33331\n135 64573\n1985 5381\n8119 9135\n18673 69483\n32782 81542\n43945 45208\n37313 55864\n44521 63474\n13505 43091\n3790 41354\n60229 61826\n14930 32848\n2365 68061\n33449 53973\n2442 11786\n23425 69181\n22106 73498\n24077 36924\n9721 36649\n44672 54994\n56148 85466\n29892 75281\n54402 65056\n60513 69073\n65230 76323\n14915 27509\n67844 81065\n5186 23021\n21328 35530\n6133 63431\n30089 73429\n1572 2490\n4331 14976\n19826 60208\n38631 75497\n41612 44358\n796 42156\n32338 42090\n42433 67404\n4164 83040\n27092 50847\n57806 65207\n5026 11492\n33954 63139\n49167 84698\n48842 64161\n8341 17471\n772 77265\n57170 78588\n9638 47840\n16041 77229\n55377 72987\n16983 85715\n40461 51063\n13789 65368\n14387 73682\n5675 28095\n10033 16392\n28559 40036\n27906 60815\n44257 67467\n64661 76162\n45757 47288\n6203 23432\n15621 53456\n10117 82286\n43094 85079\n29698 33646\n5308 35484\n65792 80093\n32055 75821\n26954 60614\n643 36103\n49574 52442\n13992 38225\n24875 38823\n22784 39692\n3082 62616\n24773 42674\n41960 69271\n70586 78488\n47798 53399\n45243 75842\n51373 67164\n9072 76972\n37023 60309\n23127 69026\n43957 63428\n19071 77154\n60846 66339\n21077 66232\n31006 49910\n21763 28999\n17506 21698\n8642 17565\n44290 83429\n69356 73257\n57240 74124\n63917 82214\n56461 58869\n44683 50135\n8502 52145\n17049 65651\n28620 49389\n190 24884\n72777 76173\n10964 37008\n81968 85644\n42755 59890\n3879 3961\n62787 69316\n58473 62195\n14078 43362\n42903 53243\n43033 49436\n38987 65774\n5702 59669\n6406 37631\n5693 9850\n21363 56815\n60289 76958\n5547 12141\n38842 61470\n12696 56984\n85003 85084\n27500 45080\n9418 27923\n61266 69957\n65720 83436\n8079 39048\n21136 28626\n6562 44159\n43200 49876\n39642 81651\n59739 66280\n57191 78409\n4317 56185\n42522 51236\n11367 50155\n42668 51240\n708 8312\n40809 60082\n31846 55338\n25064 33776\n38374 52051\n71207 85331\n4383 13312\n3042 4017\n35670 64460\n19889 29882\n49819 65104\n11607 17671\n16482 50347\n27518 54064\n47068 64890\n3375 81131\n23434 39799\n6714 12158\n11246 45110\n56349 73073\n67324 82251\n7883 14129\n58370 69442\n30308 54736\n40679 41117\n21425 53739\n4924 22337\n19177 22782\n13034 33058\n42129 71829\n27344 67130\n5928 77599\n38732 74379\n22436 32831\n9117 78303\n8607 13973\n47984 52414\n18219 23311\n16894 23360\n47102 63394\n7334 15545\n27560 81209\n52324 58586\n1654 81708\n1753 15801\n8688 67035\n16084 63226\n49543 80929\n27291 34173\n44364 49417\n34490 72639\n50096 80506\n14627 84509\n24 5817\n24376 70663\n73708 74170\n4955 7292\n27074 37682\n74374 75613\n19471 29971\n36162 64653\n13579 75597\n2134 29566\n54287 61500\n42806 70859\n29406 52150\n4632 5435\n36964 37443\n45289 69307\n22586 71755\n38126 78344\n6961 21497\n39058 73694\n38832 41087\n11910 27737\n73080 80488\n8320 18767\n28673 69955\n15052 33740\n12409 78910\n5796 37456\n37127 70207\n19238 72450\n27049 61754\n62243 71638\n21966 49230\n35929 72717\n6106 76293\n23526 33169\n42765 80945\n39099 69612\n16014 37357\n5730 34244\n30789 64669\n64399 73584\n16029 66212\n25091 33831\n16227 29306\n22971 38414\n28952 77957\n7101 65647\n3267 63682\n31274 41583\n56485 82341\n19640 68495\n24319 62769\n8847 73947\n30505 58903\n46260 65937\n8774 32307\n61653 66585\n953 52744\n8787 55405\n33723 64905\n43298 63027\n63281 78349\n50836 61309\n1266 17162\n43034 66754\n32047 34395\n18219 56269\n31539 81928\n7325 78174\n36513 59513\n2797 52155\n37036 81297\n50506 62807\n15031 26334\n65669 76667\n482 67314\n16045 34918\n15769 26883\n29555 76661\n50758 57578\n8711 22451\n59848 67291\n8803 48090\n38222 43641\n9219 74573\n41874 43333\n56328 84079\n13 59495\n37079 61102\n47197 56184\n24232 34694\n13019 78618\n42143 81290\n55293 57412\n7228 56594\n42172 48584\n4140 21470\n35933 63855\n27258 59644\n28236 66705\n50441 53133\n8089 59686\n45429 55696\n41321 43833\n18561 67719\n1613 2981\n72899 82170\n23084 52890\n43691 77853\n20065 27165\n8182 29899\n8280 61408\n10764 75865\n5704 68442\n31239 31517\n46247 81047\n25101 58810\n55507 80298\n70531 77013\n9233 43121\n46387 55797\n32333 49921\n33840 41781\n72717 78685\n32240 70585\n37341 42142\n50969 85708\n14313 43004\n925 9762\n17845 80910\n31973 46969\n39505 75013\n57309 70631\n31167 44608\n11385 16017\n72111 74113\n47003 69720\n41163 75759\n44148 71320\n59366 63641\n1285 11008\n24079 42634\n26549 60841\n7828 52039\n57200 84128\n16777 20082\n50105 79642\n3990 7021\n16085 27417\n53823 75037\n2056 54310\n76165 82177\n5335 81002\n34175 70173\n22464 36374\n23805 67712\n30529 81880\n10646 45281\n21135 40001\n25141 25227\n16977 69317\n75218 80344\n78023 81160\n3336 77978\n30778 45814\n43722 79961\n12245 36347\n63561 78699\n18211 38801\n60498 83919\n14306 40272\n31143 34177\n19834 71567\n56235 67083\n36360 58874\n1665 23710\n11428 32614\n28358 35510\n14903 54609\n81698 82277\n29093 31038\n12809 29943\n39968 75391\n13906 14751\n32395 83002\n79221 85444\n6049 78022\n39470 73984\n12579 40043\n15623 45781\n29420 53255\n15691 80489\n52704 79143\n15609 48142\n3391 48750\n10041 24235\n6111 54929\n52719 69330\n18568 51964\n42264 59193\n2894 55754\n11272 60128\n47573 58437\n21293 57607\n24980 41586\n56692 62465\n11008 65875\n43170 67996\n21427 79885\n45233 61531\n15015 23511\n48349 52380\n41827 73185\n5209 64505\n21467 49753\n24833 65388\n7900 18353\n1506 81097\n13739 72984\n21345 66463\n14675 20487\n17380 19316\n23293 65870\n4729 18315\n17555 18960\n46546 57409\n39675 61918\n17385 46239\n42675 57665\n5671 71145\n25067 30995\n13516 66868\n18359 74699\n42538 68617\n21936 62039\n47027 67103\n9760 18315\n31202 55834\n43131 83052\n34381 64116\n14742 30651\n24849 76129\n41268 47059\n15460 53094\n66103 78196\n19493 53455\n1764 84002\n35364 61616\n71747 85542\n16413 57921\n40657 52424\n17180 52746\n54410 77453\n51238 58880\n17660 29725\n36805 69311\n67695 76343\n27599 30932\n368 23042\n6730 77206\n9266 16372\n38124 59095\n41928 84969\n18172 21806\n21114 40182\n16447 17433\n2282 64108\n38012 45882\n1091 44671\n16250 79436\n2794 47954\n10423 85114\n32170 33680\n16435 51205\n10430 49894\n9452 53500\n74898 83476\n6701 55809\n29695 82546\n37044 47846\n11035 78035\n46471 53029\n62013 62584\n55177 75457\n39852 83773\n2170 23334\n47787 68773\n16714 22056\n73344 78559\n29366 85534\n47569 67486\n16950 41670\n41544 58795\n10500 83290\n15098 31188\n59285 69039\n51544 82131\n7721 42726\n2228 7820\n41777 74718\n120 76337\n19655 44827\n4479 32446\n46664 72410\n27957 41031\n47735 66519\n3600 47081\n13348 14052\n64170 69547\n35003 84243\n25372 85742\n18477 48555\n22391 38854\n45959 46235\n1133 4965\n12157 36392\n33513 34830\n16656 50105\n50364 66506\n74600 84617\n52099 52114\n52714 63880\n25118 56284\n116 2559\n16280 75054\n30506 37198\n26719 85820\n31373 83886\n24999 35093\n7268 12074\n1011 35153\n13956 61912\n23508 27210\n41194 49136\n41765 75445\n3482 8588\n52266 68083\n28548 32245\n4075 67947\n57937 61084\n27977 75010\n2834 37859\n4095 12352\n37443 85791\n35425 53153\n46540 50579\n54406 57392\n5757 38551\n1719 60613\n16940 32210\n16847 31051\n12614 64852\n1309 10942\n18586 54680\n27580 28415\n58053 58961\n1850 48075\n39809 79676\n49326 80039\n47883 76586\n35951 73403\n53874 68111\n45743 53413\n9781 47422\n10397 43025\n32547 56576\n43563 82384\n7501 47249\n38994 42757\n55057 58219\n16200 16742\n71590 82820\n77699 82647\n20563 79085\n11194 42259\n2280 31597\n36209 63301\n25978 31024\n8295 52933\n30736 76998\n2094 16659\n30696 61579\n4281 19830\n56699 67124\n29570 49099\n27010 43320\n13391 69329\n29695 52990\n23920 43270\n9642 19882\n49692 70284\n20162 61505\n46341 73735\n60152 68885\n51201 51422\n53304 58474\n36791 53614\n41126 63919\n34072 80426\n11117 20122\n40752 49897\n49487 58939\n24808 73714\n53988 66056\n35422 74857\n57661 74856\n5872 46027\n74507 84780\n14087 81206\n40671 64326\n9294 19668\n9250 57617\n70029 71384\n37886 81876\n47353 81809\n64804 73623\n41278 63247\n8849 22566\n29750 43268\n6082 13360\n30991 38122\n52205 57676\n4902 73095\n12514 65754\n21172 29306\n1610 19356\n11850 85239\n80918 85522\n21844 41732\n4877 41655\n24303 38224\n32007 81960\n23604 75738\n3908 38975\n54067 79901\n18041 60565\n20168 47334\n34728 38692\n51728 81768\n36624 49583\n21671 69555\n48836 58613\n1130 27023\n2656 40847\n2798 66530\n32262 69099\n30787 55052\n18830 83286\n8570 76700\n45122 52292\n10387 24718\n56274 68956\n61786 64185\n37232 76070\n53558 67307\n3823 21006\n19933 60985\n18766 65648\n64870 71871\n5917 10140\n44031 66453\n60973 80895\n76598 82643\n33996 63427\n53108 65129\n12326 30433\n35312 58980\n39169 68435\n9901 54447\n49093 85650\n32290 34485\n51477 85337\n13477 38008\n48086 65630\n5354 9845\n6434 13728\n71878 73299\n26177 59319\n44721 45536\n66383 66391\n73653 81091\n5714 78089\n52218 67173\n82427 83040\n43991 77455\n69837 85225\n12705 48219\n24931 78479\n27994 80572\n15864 17435\n4169 33670\n51378 72918\n64291 83746\n27619 41922\n20479 33328\n16083 40968\n44008 82551\n80470 85950\n23961 64388\n49698 58225\n40297 42304\n8061 71099\n23167 38698\n14263 24882\n68134 81647\n12488 48660\n26888 76646\n17120 22580\n12766 85165\n38411 75862\n30308 67371\n45547 70299\n50269 69555\n5907 70874\n329 45781\n1452 38723\n40002 77356\n37015 64434\n69403 75212\n39874 41624\n58367 74592\n47243 78966\n52774 84572\n58129 64945\n33898 42432\n24084 72996\n5830 31537\n46057 61683\n45132 79577\n1296 53385\n13927 32295\n41480 67846\n35910 69482\n13798 81403\n117 78731\n80819 85933\n11465 25515\n28721 72523\n49840 80470\n17998 64402\n47267 69091\n4401 28653\n32394 42099\n916 45315\n50862 61369\n48328 53616\n5012 25535\n4627 13929\n8333 31236\n481 45033\n26562 34826\n20444 67312\n48517 83800\n66712 81638\n34482 63512\n69750 70148\n40575 73618\n82919 83002\n62777 67441\n9399 16567\n34558 76875\n42677 54293\n169 18193\n52147 56997\n31162 52035\n40362 42382\n4688 33721\n43361 52947\n26716 29231\n10829 73124\n29300 34505\n290 63269\n27708 54550\n55380 56009\n16879 80981\n25848 28448\n10086 84862\n49431 85467\n50945 77295\n32695 72708\n51295 53273\n5115 71309\n33553 60653\n30208 77751\n74158 79383\n7172 37808\n24639 48511\n68351 79393\n49799 57522\n11353 35371\n4880 37422\n39336 41702\n728 58144\n26393 57260\n31317 74207\n11286 60890\n236 19642\n15405 46114\n5063 10778\n59492 70973\n24163 41309\n16160 65377\n16857 29584\n27651 50641\n53314 69464\n12536 45883\n33984 47077\n14476 68963\n20628 54964\n35887 78369\n38865 71878\n6635 43613\n55089 77538\n4939 15356\n18673 67219\n40978 58935\n4377 67102\n12011 62504\n16252 67300\n49476 58180\n6590 68892\n5379 68740\n22636 36287\n65232 73097\n12051 42171\n2722 67812\n65540 77337\n43904 51809\n12606 82638\n6706 36883\n7932 84419\n39195 63918\n22449 44222\n48565 62659\n58986 73109\n358 15853\n71357 85089\n10654 61941\n12527 26047\n33746 61710\n9036 64450\n13586 54344\n4768 84837\n18080 67249\n18626 26981\n10794 44022\n21354 28344\n3854 75118\n9564 56398\n41188 75028\n49707 70851\n8641 44716\n3733 44047\n54144 81383\n15988 52289\n11783 50250\n42403 46273\n39774 67828\n437 19434\n52539 83820\n24834 67020\n41523 57006\n30219 80977\n20277 32051\n14806 61397\n38596 47597\n42631 45371\n12856 78544\n23660 59658\n22087 24891\n32841 57083\n22822 69564\n9996 59507\n16822 25889\n73118 76651\n17254 19370\n15401 43208\n2039 13943\n74565 84541\n58923 79755\n15533 48359\n632 48044\n63123 76863\n18500 64615\n8626 52741\n52659 80704\n20576 61157\n9185 34193\n20933 85445\n64479 81759\n11434 80310\n17776 22841\n4250 73290\n14365 56261\n25983 79176\n48473 79147\n4688 19950\n48998 60489\n38635 48620\n17211 57400\n4941 47971\n65712 71761\n47770 74105\n39550 54641\n49787 60098\n9950 77408\n9583 43859\n55958 63659\n9588 58828\n4187 45872\n82316 84917\n48077 83406\n25821 81397\n9229 79495\n23472 45599\n3219 74151\n13275 74149\n73428 81808\n65756 81914\n25725 30694\n10752 34989\n6971 40079\n49971 66133\n19327 61895\n24826 35891\n50272 65305\n22752 40092\n19213 78360\n20823 36542\n37039 84028\n65568 77419\n45193 69119\n42557 84155\n39135 44063\n4525 12379\n13575 56632\n58431 85372\n54291 85272\n38630 84317\n39898 71858\n53500 79089\n15648 60361\n21383 70450\n45596 79964\n34821 61662\n16699 31376\n8168 22301\n27771 44392\n8446 69497\n71126 83607\n5244 80830\n16477 41415\n14730 26020\n27258 81688\n23733 32308\n31333 46217\n1855 67205\n19200 28129\n3678 22237\n77611 83892\n23387 39443\n5182 20219\n13606 66271\n49422 65441\n11472 52744\n36151 39852\n35854 42578\n33254 68553\n61909 73958\n40140 56423\n78246 79741\n48336 78845\n1766 76674\n10130 50506\n8502 40893\n27594 54604\n31635 69546\n18497 54634\n32149 60144\n14553 24709\n35808 61660\n1953 6246\n47608 73683\n13187 20743\n5026 19350\n15193 16104\n9459 77472\n64997 74974\n49691 51563\n55702 61733\n37387 61016\n27981 57863\n2844 6992\n22768 58550\n25945 67308\n31696 35103\n32063 84816\n18862 84186\n8642 10225\n18681 31162\n33799 54769\n11287 56951\n54016 74978\n49388 57779\n9616 11994\n41750 83057\n18991 50190\n13030 13445\n3623 31444\n37345 60792\n1303 59725\n18749 36714\n64974 81598\n13210 72180\n10783 46741\n53388 72430\n10687 54949\n43589 47216\n42262 57514\n9200 17549\n14136 85060\n31965 37770\n53796 68473\n5306 24866\n34485 68205\n35471 37877\n59609 73040\n50495 61384\n25106 41642\n39115 63974\n30049 31134\n8922 50508\n34947 70176\n8905 31059\n45861 50157\n4688 38313\n26262 36356\n2609 9952\n3343 27675\n37246 82755\n11202 85841\n34638 81801\n50972 72954\n40681 53809\n26692 75502\n5170 74181\n6816 38697\n62591 75603\n1756 21635\n6434 65078\n52866 59606\n1653 57211\n9924 25151\n29391 32590\n35452 69828\n35964 58547\n60228 84606\n10466 60657\n21771 69269\n35339 71591\n31164 38688\n6133 83757\n24175 80635\n2313 9703\n13379 45088\n8197 11923\n22186 82489\n11378 26625\n22233 74005\n7756 20232\n35722 37718\n1686 76183\n75158 81484\n41762 83589\n34468 51182\n24540 49757\n4251 67479\n35953 60650\n29472 50407\n61335 75418\n56924 83666\n5917 13966\n13910 62358\n30084 45261\n6125 54837\n18990 66966\n2380 75454\n48978 79679\n26511 65245\n22179 48822\n29978 40526\n8059 16480\n261 84314\n15215 33838\n60132 73429\n33132 79142\n25550 77823\n38579 57641\n32296 34015\n18567 46906\n955 30606\n14037 23342\n47198 73812\n43441 68133\n42669 62073\n20830 35672\n42839 62770\n13916 26044\n736 64061\n73196 80642\n42544 44349\n23521 28529\n27965 55119\n55462 64598\n23920 53209\n6365 50979\n14569 66504\n48677 79805\n10228 71082\n74808 76437\n55068 72023\n20606 81059\n34393 51520\n60436 67662\n27764 30282\n28763 66969\n15069 71187\n11164 84791\n56267 60345\n35658 63439\n49236 78322\n61001 68819\n4243 10255\n1230 1857\n54089 76322\n14550 40951\n22615 50941\n60486 70091\n20827 81915\n33781 83646\n46764 77151\n2422 85092\n3937 64828\n17840 28736\n4231 7237\n25415 53720\n38567 68915\n56208 84528\n63444 64329\n6457 12413\n67627 68748\n53473 56872\n27346 49276\n9422 65387\n2512 68722\n32251 35473\n74351 77460\n53744 79304\n25524 83736\n16637 40937\n114 80101\n11139 33323\n27218 85999\n4328 62712\n47120 57324\n41451 54186\n23669 66233\n60454 68633\n3765 43660\n50899 54346\n31146 68637\n19474 74015\n51001 72826\n65573 69838\n10374 35636\n21042 41352\n17060 18483\n7287 82996\n65854 71510\n49140 83473\n51809 52313\n3490 26939\n35295 48923\n45118 56560\n38229 63767\n5124 74512\n10654 32325\n35652 77178\n48393 71848\n40 54670\n57769 79312\n72324 74283\n7809 14691\n32756 42175\n58359 78530\n45735 53554\n33038 45434\n6291 71220\n9894 79610\n27929 57140\n27412 67688\n23866 27368\n37749 69235\n38632 78245\n13306 17638\n47658 76110\n39751 59413\n14333 77151\n11210 22355\n22281 48617\n14151 26556\n57912 67166\n15686 50879\n17547 54088\n10091 50943\n12907 53978\n45778 55556\n46754 56643\n58908 75518\n22961 78330\n1656 18863\n29326 60081\n4002 63044\n8573 73120\n19687 35761\n531 25499\n2122 5441\n18647 41068\n43784 48076\n54020 85862\n38960 60206\n3238 49835\n52096 81582\n2319 62872\n41938 57980\n420 82215\n34723 35716\n73628 82104\n17172 53788\n12636 58157\n11227 48551\n23334 43557\n40365 49671\n15754 48061\n39850 60015\n41382 54272\n4482 66815\n19000 37557\n13445 39639\n15746 70490\n11333 84047\n833 22597\n1668 70386\n21225 56995\n18101 63020\n23104 39486\n3720 71479\n37016 80677\n26818 81013\n19316 83644\n35561 74042\n50080 50797\n38790 79649\n7123 78276\n61555 72363\n19053 52007\n61647 78929\n46930 54239\n54383 69595\n18914 75596\n43568 72778\n32229 45259\n55269 81795\n49647 50331\n4728 66355\n66039 84498\n4532 13805\n64625 69417\n49121 85305\n30656 55630\n2422 14462\n2198 82360\n29570 45348\n20361 59647\n5365 31301\n14009 61531\n28569 52427\n27213 68254\n5498 77246\n32005 46053\n12159 51204\n16114 62228\n7769 69853\n4374 71138\n13483 85148\n2295 20239\n39904 76585\n57474 66536\n2588 68035\n44197 64878\n63349 63424\n9347 14675\n26369 56354\n25304 77920\n268 13095\n6703 44230\n5177 71567\n18372 58383\n13439 38368\n9762 65581\n64736 71465\n61402 75301\n10688 70563\n32915 63618\n40631 42038\n27279 60720\n65040 73493\n45891 50268\n40931 41361\n18489 78518\n15865 47978\n43950 50220\n12550 32379\n3332 23434\n3616 85309\n61571 63422\n65482 78426\n21609 31276\n20856 84897\n56372 73074\n59789 77449\n55381 56630\n38336 44930\n35978 50157\n4911 47733\n20484 20789\n74218 79093\n4876 38099\n12755 71771\n16200 73054\n15338 49380\n1950 71015\n12289 36222\n38000 46414\n54488 69638\n46570 72040\n16426 51750\n31905 37361\n2401 36687\n53373 55418\n17462 82662\n50140 52465\n20001 29169\n35606 45559\n45266 61111\n2110 83168\n65539 83835\n9696 20709\n57379 73895\n34872 83279\n8783 65044\n17942 84579\n40241 78622\n27590 41936\n10465 69094\n1588 25066\n3202 9124\n32868 70469\n23425 25982\n17559 48220\n77226 83986\n14739 72631\n7726 8519\n61386 75952\n17276 74819\n79764 80129\n3587 43325\n802 23242\n24168 32701\n1500 76357\n64632 71788\n43066 43838\n49218 70366\n21423 27544\n31198 68992\n35753 38078\n18087 71020\n18946 53170\n6886 54186\n11773 60676\n8001 60597\n39452 59915\n78581 81422\n21468 73795\n9080 43917\n59110 67463\n31713 58389\n3329 12192\n10087 20351\n41508 84466\n12049 40986\n15075 75546\n1303 69219\n21461 61757\n53103 81693\n12871 61344\n4342 39459\n26425 65064\n15713 39996\n73319 83670\n62693 66791\n42746 55197\n19957 53849\n54735 75923\n30658 83594\n4524 8122\n2305 64009\n8869 43689\n11826 20702\n39898 47268\n66558 75199\n73080 80512\n60441 72273\n11030 68133\n55576 69718\n19644 58046\n25325 37600\n4002 69290\n20901 64732\n3268 50429\n22937 67844\n24685 84236\n17825 68376\n5445 32896\n15277 68722\n49874 83658\n2281 32048\n2955 61991\n4811 12749\n5002 30506\n5330 8974\n15962 27120\n14241 69438\n17745 74141\n65406 80650\n53239 83520\n14108 50622\n18567 66938\n18690 57460\n34694 79622\n29146 69584\n45410 74062\n27824 42653\n49933 79552\n42357 66158\n44815 75847\n26086 70189\n30050 62362\n1953 31045\n25663 29621\n33130 40179\n27211 75461\n9433 65518\n59370 77350\n72266 85498\n25607 59273\n16110 19759\n58988 82202\n10599 73955\n38613 70068\n47036 74165\n2022 41500\n33404 58569\n19044 80006\n40491 64418\n38425 68536\n40152 82344\n14037 81906\n79140 85531\n10216 29674\n9567 50975\n27670 83164\n33131 61297\n13907 42926\n16688 48146\n21305 38319\n40901 44219\n6213 34598\n62212 66327\n998 71006\n29592 64656\n41699 68668\n28532 66577\n21297 42574\n47243 50959\n35930 80623\n216 57455\n74341 77034\n6429 23122\n73633 82738\n3059 58335\n54165 80633\n1423 25427\n14930 52728\n19421 19900\n40773 59716\n35965 84611\n26516 27176\n53046 54109\n8056 18859\n30366 43172\n55154 75017\n14698 48606\n23234 46512\n3614 80763\n22931 60255\n51185 76895\n8168 35994\n20923 27276\n33761 34503\n4134 14145\n5125 79365\n13329 60969\n25133 45383\n21339 38962\n25500 79609\n39710 58009\n27846 45169\n9824 51378\n66647 68535\n49593 70437\n13297 62548\n33906 46271\n13059 17149\n18840 43423\n55379 81738\n11085 27964\n71556 84085\n29416 39525\n2725 74613\n45740 71010\n54868 62873\n70545 78038\n27703 56482\n38687 47615\n20257 41206\n35542 55043\n4302 37528\n19049 81084\n29566 54626\n17846 25448\n17117 83586\n23982 74058\n41187 59509\n45080 54888\n23472 52702\n7598 62802\n58127 72958\n407 67194\n28115 44310\n7118 52103\n22319 48193\n36775 85131\n37023 73855\n35784 77965\n39711 72604\n7635 73649\n28515 64869\n28210 49444\n37499 47568\n29322 39306\n33127 73378\n12623 58737\n16838 19298\n15286 36349\n30474 57712\n19032 54216\n20687 64844\n8206 43161\n11805 22981\n5796 59454\n58086 63303\n1113 65021\n2401 38159\n3998 70382\n31413 72316\n43008 69169\n25814 32563\n69814 73029\n6982 17954\n17724 71138\n12509 40522\n77696 78746\n40875 73726\n21803 79674\n15745 16128\n33547 84253\n76073 78657\n5230 39928\n16959 81212\n17411 21505\n9547 75496\n45133 82193\n26472 57846\n21250 69127\n17202 24763\n3471 11639\n60412 66191\n49885 51371\n20359 59089\n63765 66514\n40205 61348\n24514 76186\n12762 17904\n32490 36592\n58572 70227\n54263 54601\n42204 51800\n7644 12464\n29688 57250\n24775 51739\n14630 78453\n12361 52409\n17552 39142\n68722 70206\n81175 81780\n7663 58861\n197 14621\n36262 60969\n1834 54391\n1369 55588\n19441 65420\n12193 26816\n51319 72468\n1501 68569\n14108 73202\n70490 76998\n18214 64070\n9740 78482\n44737 62052\n1592 15831\n13934 46388\n34575 36818\n11242 66431\n64392 74073\n13082 71331\n2055 85296\n24329 37151\n14881 75676\n61046 84244\n40107 83946\n27381 46425\n37691 41032\n53557 55885\n8968 67761\n15613 19155\n7311 24809\n43603 47804\n13926 20679\n61003 68751\n3022 28791\n17342 34586\n9347 74015\n34359 64627\n5111 22055\n3903 57076\n41977 56436\n56739 75166\n19465 28015\n42726 52263\n7905 49257\n43608 67721\n5112 18266\n1909 36519\n29789 48151\n16820 78909\n21948 72059\n47735 72957\n28964 40008\n27713 81324\n63820 85563\n925 59143\n23413 51400\n62383 76988\n28899 55345\n6121 57832\n19237 72778\n29852 52224\n22547 22746\n11111 62307\n41893 57093\n20212 33344\n1120 50153\n52406 66613\n39293 68494\n77197 83015\n61382 73701\n20816 60368\n20842 72014\n10992 11064\n49579 51493\n28630 61576\n44310 47662\n5834 22300\n29219 83236\n37413 60791\n45548 63133\n21824 31516\n8027 17691\n42290 48812\n22908 56277\n12104 67760\n21731 62099\n4431 29440\n6040 41814\n21281 75517\n15868 50706\n30261 76439\n19210 68148\n55155 60121\n16287 32947\n16949 52914\n62394 76413\n75452 79866\n7580 57558\n9169 41389\n44256 81887\n57700 66366\n25689 43604\n43938 59720\n8011 76786\n2410 25265\n4622 4681\n24420 83479\n20277 24572\n59369 69486\n76 83275\n20468 33826\n76751 79007\n288 52488\n14697 38312\n10272 69043\n43453 73048\n35742 39432\n4812 55382\n10423 45990\n48182 67112\n6286 7127\n20918 65883\n2671 82321\n32580 82126\n21940 69511\n8684 62406\n9709 32889\n6708 80807\n40873 62886\n57356 63596\n44101 83049\n2557 71284\n24268 37050\n38428 39584\n52066 65159\n21611 50872\n64914 81342\n52032 61283\n9088 60788\n44169 50878\n10372 68970\n13162 49727\n27205 53182\n48717 79588\n33685 48546\n71080 71457\n29213 57373\n2792 8724\n10570 29984\n27820 52446\n4370 73825\n47802 76384\n59087 73183\n20064 43787\n61182 80292\n71259 76718\n43446 72403\n1810 50366\n3930 20796\n58096 76677\n34855 67736\n34087 47429\n16824 66000\n62682 78457\n26340 54993\n35584 51604\n44738 53348\n38546 71040\n2827 12587\n34202 41394\n2777 67055\n20369 34289\n7548 28371\n28652 60184\n22248 40929\n16688 49002\n4502 67059\n74603 83582\n2688 42366\n13024 29856\n6308 75618\n71290 74345\n25677 37237\n42527 53788\n17178 57683\n37177 65616\n35472 38315\n63558 66376\n3063 41351\n15429 17094\n11572 22237\n19956 45189\n20359 54146\n9154 10719\n12690 21841\n55854 70642\n53428 62133\n39154 59159\n652 33258\n15740 46451\n5271 48856\n27419 61509\n17522 33520\n70931 75902\n30377 80256\n70637 80670\n28414 74916\n8873 39639\n48789 60837\n283 20221\n17804 66987\n1082 8135\n52529 65930\n57418 59183\n47745 75206\n17940 47326\n8530 58856\n72766 76861\n31690 79446\n40344 71195\n64842 68162\n10142 51275\n7381 68000\n28675 77032\n41425 75482\n34988 44266\n62248 75695\n17840 18937\n6984 35107\n21172 31271\n47304 80373\n38952 67828\n28780 50765\n29341 67598\n2841 13424\n20830 33946\n8386 67833\n33537 75797\n568 55611\n16800 60145\n53660 83380\n25206 75667\n22054 44096\n17552 83378\n1081 37226\n508 61903\n18113 18247\n8257 18185\n29680 65133\n63713 76046\n49879 60048\n56099 77331\n16466 31527\n40754 48805\n57228 62998\n17280 53764\n12598 74656\n43922 70021\n42012 52628\n33668 50306\n6002 76261\n51233 51837\n30530 60286\n54324 83649\n45078 80259\n11201 19008\n11089 67197\n17450 82899\n907 73408\n34483 75454\n55939 65198\n25577 76962\n8050 74840\n32076 68812\n3344 52310\n24646 59371\n33995 57742\n5732 29207\n6644 83506\n32141 73777\n26102 44225\n49106 52396\n24156 34565\n4044 54812\n65550 76166\n31196 49896\n69512 70032\n15812 39675\n10233 39589\n306 38314\n9684 58568\n12380 59175\n24411 33134\n21731 35864\n6424 12594\n24301 70967\n29007 69325\n32649 45632\n8515 49279\n70422 84832\n18816 19849\n23502 50228\n30624 70117\n22135 40711\n14599 29743\n38060 82515\n52114 66631\n3593 6672\n6440 83416\n28310 47545\n11781 68905\n73701 84376\n27488 60044\n15930 73936\n10973 49979\n21466 51573\n49961 64445\n62025 77390\n56713 71425\n11442 85658\n41903 53339\n12868 42346\n31053 81830\n11718 73057\n58187 65264\n1688 27580\n13089 69124\n569 16680\n56121 72430\n12755 84690\n31460 65282\n26947 59821\n30500 75846\n49908 66720\n8031 65659\n35407 81050\n39697 52086\n7657 45542\n62002 69519\n10994 29153\n5136 22288\n23088 81344\n4358 77399\n5865 69756\n12652 38628\n24108 71182\n44536 81847\n66305 83347\n9061 60397\n54449 70421\n31108 75984\n15918 22740\n8124 82178\n13285 13861\n21733 81601\n19955 84542\n14752 72105\n4754 16580\n27508 81228\n39833 56218\n33614 40627\n56054 84922\n31567 78321\n29550 58111\n81173 85873\n60860 76611\n4480 68386\n7356 28808\n71113 78460\n53483 58628\n33284 81073\n33465 36808\n13976 16490\n24259 58362\n22087 23826\n30195 74524\n59096 62092\n24813 64953\n47504 59677\n21374 53720\n35376 38549\n21799 78132\n2699 69751\n58124 85110\n28816 83813\n13803 47230\n25145 77881\n41798 63234\n39619 75728\n33256 47285\n41242 61878\n9619 20629\n60360 73810\n49464 71913\n50927 51841\n66436 67401\n17616 39069\n11454 17277\n437 37609\n21166 74776\n17587 48438\n8450 72463\n30197 38256\n40044 49422\n10842 44627\n36156 60801\n9910 72737\n13761 71158\n38900 76243\n68724 75387\n30286 72917\n41996 67929\n52690 63036\n41696 63902\n4177 41060\n34151 41338\n59520 71461\n33156 56137\n4147 14590\n24480 48812\n46543 80813\n49558 71457\n4917 62718\n27328 48095\n66559 68211\n30898 57716\n31657 51969\n13903 48932\n77796 84652\n18682 45586\n15721 70147\n31867 62276\n15028 15500\n15290 29546\n9218 42223\n34265 66528\n1927 58341\n31058 44405\n51068 52352\n6649 54022\n3707 78157\n1105 85236\n9275 38599\n15591 71953\n42251 63296\n56667 57241\n18579 31426\n17271 85842\n17306 68733\n7027 74091\n48237 62592\n22622 77786\n61530 69013\n22266 78336\n518 23221\n1691 57299\n2858 15382\n48224 51782\n58173 63046\n1207 50707\n6603 32297\n17467 42258\n33440 63557\n9384 32544\n1293 38556\n41317 63383\n16607 44872\n1328 49999\n23858 61756\n10550 54915\n17787 41106\n25674 69196\n11688 73823\n77801 84681\n17656 54961\n54850 77932\n72142 85018\n53783 85518\n6473 18918\n14153 77185\n38612 80431\n23913 66727\n61261 66774\n54348 61305\n51796 73884\n2056 34280\n41684 55579\n13679 41578\n45260 64005\n37255 47691\n16110 54790\n6967 71119\n26526 83538\n63166 77009\n50078 58801\n31391 69231\n24337 74788\n25827 77041\n4618 78222\n25434 38887\n27304 61406\n53719 56546\n6629 22324\n38395 72198\n34466 36150\n44895 60926\n25784 55659\n10320 47165\n70518 79578\n50883 56986\n35894 51716\n24803 66808\n9922 59867\n550 30919\n53586 54189\n31029 70450\n41176 48050\n13068 68678\n23600 25826\n17310 32621\n13643 32493\n4038 31562\n29826 59881\n477 57131\n29410 47362\n44046 68221\n12460 42656\n15180 22188\n6897 40846\n48027 59072\n51568 59275\n35925 70635\n29692 68948\n13460 36675\n15689 36510\n36792 62896\n1576 69253\n51447 55013\n44089 60997\n71632 82360\n20291 81257\n32685 33411\n19809 50609\n8304 71489\n54754 59823\n15437 48381\n50920 75366\n7561 83479\n3427 76892\n40603 42829\n79113 85014\n5647 31035\n23060 78864\n43933 60100\n61537 70462\n27482 64133\n2397 56273\n59313 72637\n41175 60345\n5098 40782\n18913 59770\n15881 19355\n33762 69839\n15348 30850\n33029 37003\n25938 48583\n18874 48728\n8050 48654\n68098 69371\n5011 8136\n67454 74390\n13849 61094\n49718 67284\n10200 51523\n9280 20974\n18490 25853\n7811 43320\n68266 77065\n76005 78381\n6763 54336\n43945 84774\n4011 29150\n30555 79745\n10181 85949\n11421 19080\n19554 57397\n64246 72705\n52507 78503\n16062 30674\n54574 56425\n12900 59505\n54455 59121\n57044 80129\n29283 72230\n9004 9383\n38164 72600\n41262 80379\n43029 68204\n40518 61266\n29850 48484\n52296 66013\n9258 32392\n15283 20836\n25128 62917\n17219 30714\n34587 79074\n26307 65851\n37328 57666\n70537 80955\n19801 71170\n25380 44008\n8108 49844\n47146 65896\n9917 21422\n25405 50755\n23274 33509\n55561 80018\n76495 81230\n25978 69805\n14392 24429\n56182 79701\n53618 67346\n26087 41723\n27599 61649\n221 23805\n1123 21160\n22706 55110\n22176 76638\n22145 66248\n30589 69347\n34312 69717\n57978 79985\n133 47513\n6661 15099\n15891 41125\n34870 37074\n42954 68364\n21354 67683\n80122 85162\n26403 55048\n42524 65785\n19239 42872\n28892 38666\n35101 48564\n67354 77211\n61712 84725\n62100 70641\n16755 23827\n55307 68535\n6162 26913\n4686 80047\n15350 83547\n56783 57984\n37154 46736\n29502 30761\n17209 59337\n60729 64418\n78109 84069\n21582 49497\n23369 70967\n19590 38967\n5585 14578\n5236 69972\n81464 81930\n6193 36559\n37964 42249\n13177 57980\n67103 75674\n23480 64999\n11322 11760\n21448 59414\n8257 71191\n9870 50288\n42064 69158\n46425 83885\n4325 17199\n32185 39450\n43705 72946\n35934 49816\n22841 46254\n10816 40008\n42901 45633\n16380 50179\n45181 50927\n5016 31811\n25357 27666\n10232 68594\n7684 42848\n30401 31445\n66646 72902\n20403 69714\n981 2961\n335 4503\n76807 77391\n46626 52833\n28811 44454\n7139 13404\n45457 69331\n51600 53311\n17336 76915\n2125 83951\n10728 68536\n36961 49693\n14873 69623\n54845 56651\n775 54955\n31698 43416\n36804 59898\n23025 25544\n15313 75835\n46628 66456\n17302 45751\n39742 64510\n2339 48739\n17493 82627\n39667 78005\n44715 60603\n26187 52008\n50548 75903\n62632 68647\n37495 79936\n36966 40916\n938 73041\n29848 36983\n28037 69655\n50812 54616\n20851 67230\n23248 63562\n4561 55406\n39328 66678\n6025 54263\n48043 56228\n22997 34093\n69240 83697\n22387 75586\n21906 26689\n13232 20630\n14728 84754\n77125 77346\n43265 65388\n9554 69468\n3499 84270\n273 22592\n71431 83662\n27447 60814\n36783 49908\n16548 56308\n43233 70004\n23917 25326\n51072 76489\n27880 74529\n1591 64938\n41696 55345\n18382 81017\n14893 42297\n618 67688\n13485 75949\n25460 59768\n3156 68504\n48786 66147\n28329 63631\n39143 78297\n2054 25764\n3091 34325\n6785 59940\n69670 73176\n17537 69668\n28489 55999\n6249 34733\n3181 82499\n38458 57345\n12683 63503\n1681 57662\n22361 68790\n16537 44999\n25842 38985\n44482 52588\n7398 28675\n15394 50945\n7169 21908\n2136 50643\n36057 69743\n14995 60959\n38843 85865\n19732 57907\n3224 72559\n29263 81184\n23566 69870\n4363 11172\n35417 36682\n12846 46374\n23602 51743\n58986 59174\n9686 48209\n8302 64014\n17987 70191\n53092 70787\n25570 33187\n2371 28846\n4990 75179\n57049 62858\n54818 80073\n12798 45914\n18802 27349\n1040 5405\n44897 58750\n4660 65577\n11379 61708\n27426 69432\n18220 58472\n53571 84299\n57009 75342\n52277 57836\n12358 29061\n15482 78864\n45812 75969\n7716 66975\n1197 44730\n60727 75003\n62693 69472\n28082 49706\n24386 53497\n3370 45993\n70968 85417\n39589 50233\n58531 83323\n372 65683\n26051 71807\n1941 18474\n32184 36735\n51761 81977\n28073 63855\n4541 65025\n193 59752\n1265 24850\n77193 84817\n67315 74590\n7221 69064\n33254 44656\n9811 17791\n64878 80872\n47864 84023\n19016 51531\n1366 72900\n19184 34534\n32951 46094\n29595 43961\n23659 68337\n13283 23746\n46868 81046\n21149 61701\n11795 47383\n36734 47594\n17529 33889\n4034 61875\n40014 63778\n54227 74565\n23279 51246\n75975 79545\n22863 77399\n73988 75925\n43991 54979\n59934 76056\n29436 30529\n21162 51580\n30951 74440\n19128 37920\n18377 25828\n6296 58662\n3009 41686\n13267 74454\n57221 64293\n19833 21836\n29986 58866\n36807 84078\n59595 85005\n47443 64932\n2762 41091\n27768 70577\n10625 71644\n32644 59967\n14027 70280\n9939 36804\n23191 29338\n35855 38383\n8825 41360\n73199 78305\n43237 56301\n7480 70458\n30116 73967\n4668 45597\n64296 84692\n14137 34744\n23056 55099\n13302 61970\n44105 82784\n15793 44653\n32010 61352\n5413 30235\n48245 50309\n73458 80116\n62099 62372\n32081 37379\n27497 59336\n8971 24383\n7018 27437\n41353 63859\n11906 55602\n15776 42307\n18510 78337\n36894 42320\n30906 66876\n2240 72238\n56090 73195\n35216 53256\n26919 31248\n36034 53253\n26901 72332\n18427 69266\n13260 69458\n26036 37209\n32899 59358\n48930 73238\n19249 41948\n6579 65031\n33935 56542\n13765 62002\n8825 45572\n30850 50657\n4773 28302\n9534 72024\n1112 70415\n60737 64942\n25080 71729\n34892 81156\n15217 58485\n35148 53734\n19034 39466\n24574 73438\n44815 84518\n23225 65446\n971 3066\n17567 68030\n41758 53668\n20073 39233\n12691 49953\n60540 85232\n17509 85273\n27934 66247\n607 31776\n18647 71935\n36306 42464\n34120 50947\n42913 68504\n64331 66141\n7575 17253\n56652 83330\n42203 59222\n52816 70537\n2627 61354\n43264 68923\n13696 66177\n36346 77946\n1261 7081\n2869 17456\n24362 51333\n2571 47643\n28667 36165\n57916 61989\n31930 45056\n59155 77796\n57661 81580\n17165 53191\n2471 54524\n1338 35565\n12359 31239\n35292 73613\n63425 65154\n36119 54310\n37530 83635\n49743 54505\n19559 56523\n72531 75800\n15034 26514\n38278 71340\n46651 71087\n1740 43160\n73528 73784\n1428 11229\n30850 45962\n75069 79320\n23306 75981\n29218 76581\n19038 72684\n57977 82414\n39900 43182\n53722 63930\n2359 27012\n38392 51678\n64940 83199\n10541 84725\n58000 74923\n62392 80166\n11184 71743\n13729 61262\n7881 14897\n52459 53613\n49520 57467\n6714 21175\n35051 74917\n10661 66968\n3758 12477\n50768 66529\n21417 39662\n12597 49614\n3160 11291\n890 66651\n11889 38349\n10808 22156\n36210 40903\n68336 74294\n19206 73321\n44590 50210\n16969 36726\n24348 77374\n36996 77827\n66193 73860\n18517 85606\n28451 71545\n65448 69845\n60302 78341\n43306 78868\n6580 74176\n39103 41426\n3810 45556\n36012 37096\n9002 48144\n23673 75026\n23477 55981\n11887 29228\n10491 84856\n34857 80064\n44049 76818\n53634 55827\n936 11390\n18417 42629\n35280 59874\n36976 60203\n15667 41750\n15388 50423\n53911 58516\n14940 22105\n1978 2429\n34964 82953\n12529 71701\n39768 84492\n7925 16238\n40792 75585\n18788 72377\n14145 28283\n33235 57995\n65596 68414\n34106 80266\n42465 53403\n27312 35306\n37185 49994\n41233 63597\n24697 70879\n39927 82793\n11086 42016\n19653 38169\n9080 61063\n36229 55113\n37767 76303\n6104 30455\n2454 5627\n6654 7790\n62196 85687\n3865 45217\n28842 65885\n29582 38119\n12762 58973\n16402 54655\n53727 63920\n10439 42887\n62484 81766\n25805 46126\n75777 79943\n13671 14898\n14566 32757\n9761 12074\n7456 38964\n2418 79663\n59907 68730\n43776 78339\n32612 44575\n23033 75501\n29910 46847\n41673 64575\n10842 42652\n28311 48924\n58550 67856\n14688 25897\n22243 84125\n26435 35769\n38794 67849\n15816 76946\n7886 25372\n11568 67470\n66398 77746\n34465 78129\n3936 31488\n6283 46052\n14408 48946\n57047 78060\n56018 58746\n13651 60839\n26247 65688\n62331 64556\n7777 74128\n6999 47288\n40131 48161\n20126 42568\n14634 28575\n60964 67960\n45394 59854\n16365 70034\n15086 39187\n34093 70238\n2453 72696\n12878 64854\n72757 82531\n16297 19481\n54416 62202\n8992 49784\n73319 81788\n21228 21586\n49500 85803\n1433 38966\n20421 53386\n38165 81281\n17544 47954\n3044 20685\n882 84152\n59636 84197\n25115 33854\n21735 49730\n38496 75079\n7413 31368\n26623 44455\n39342 42724\n75471 77340\n40789 78023\n39910 83522\n45826 76886\n65430 81125\n5482 6637\n7410 16853\n12604 21035\n7661 38251\n37960 63967\n35893 75266\n17054 82265\n17228 85586\n4707 52942\n16771 67673\n43354 68891\n6548 68090\n62551 66628\n42289 79592\n75689 85879\n2630 72112\n22512 60023\n23050 51332\n30625 73794\n21536 23371\n4098 85961\n15497 84740\n31283 72664\n21134 51638\n11923 39719\n55291 75285\n33249 65064\n43802 61529\n30187 75036\n33915 38789\n8456 34753\n28351 28367\n69847 74419\n41834 72282\n33662 39563\n3446 14871\n16710 67608\n29678 66164\n13844 35132\n15461 48593\n5808 84356\n47081 64888\n19595 84098\n2393 56394\n54227 58579\n58399 69536\n22047 74778\n52662 57682\n28358 85658\n64708 73364\n48799 74003\n4262 61976\n44313 54944\n151 10520\n51050 54528\n64744 71499\n4977 50705\n11141 45723\n27642 73628\n80042 80316\n38645 78733\n23044 66753\n15202 64431\n32893 80160\n1845 72149\n13621 55216\n2076 57086\n37465 37985\n9995 31402\n49854 69541\n68434 82869\n11754 28754\n57169 72075\n23209 61480\n58963 60363\n60796 78815\n27384 66963\n50068 78867\n42167 58930\n4364 37215\n23711 85078\n33042 63901\n31963 44695\n49719 60686\n13114 31867\n8942 40107\n27271 65180\n1372 22547\n37434 37883\n25755 69814\n4729 77310\n6156 39691\n63200 71802\n39723 47440\n70794 80124\n52135 66641\n41891 66637\n1041 10358\n52739 84686\n15181 85351\n69051 74402\n39839 50197\n21603 48463\n36577 57017\n61797 84702\n42433 42698\n26922 42601\n24370 70091\n47791 59791\n12211 68038\n8530 44111\n6082 51965\n61290 77910\n23033 58075\n1259 18809\n4572 45273\n16523 26662\n16242 40609\n60225 64826\n40178 80212\n75056 81637\n39240 66698\n43267 80226\n71382 79551\n29771 68623\n29735 76730\n62516 78572\n51267 82100\n4734 54919\n30459 78965\n48679 75681\n7961 12787\n30692 32281\n31173 52814\n3773 6569\n1206 80360\n58717 85825\n59169 81279\n21703 63415\n4447 77313\n58671 60000\n16876 75067\n45446 81785\n28234 63497\n2708 61979\n8271 63461\n8948 68862\n53297 84500\n48205 81805\n28350 42844\n44241 52445\n16325 73663\n10318 69473\n930 72933\n41225 61650\n24287 58505\n76044 85210\n13508 58961\n6873 58653\n25270 62694\n73334 81427\n22842 74174\n23553 44421\n20228 23396\n49486 62120\n8795 61885\n20472 69387\n16338 46665\n41823 72083\n15249 41890\n32681 49332\n494 5493\n26465 39905\n76742 82948\n18410 85231\n41147 70237\n59015 78366\n50573 71183\n65510 73884\n38477 76692\n67549 70600\n48068 61333\n2502 53223\n59368 64957\n2321 26595\n37817 73916\n26917 28689\n6969 70733\n11648 64477\n18857 76495\n61520 73066\n2305 73443\n40644 60308\n10057 66608\n6388 42585\n27032 30413\n3483 13508\n21938 82209\n44542 83012\n4957 13946\n26994 67228\n41838 64101\n14970 77264\n35039 65986\n3912 32381\n16970 56441\n33237 39445\n36305 78196\n38667 58871\n13657 43808\n12517 21349\n27128 39433\n3708 42116\n52430 82318\n25455 28954\n4173 32029\n7348 75849\n9423 10694\n38184 45688\n12010 47130\n46609 73503\n49385 65923\n10954 41029\n28835 35928\n42630 75841\n10899 79809\n16928 83300\n37428 40553\n57739 76225\n41794 79884\n62212 65568\n18937 42537\n3400 7089\n36883 40565\n46252 65082\n52231 57466\n1777 50647\n27074 28651\n16675 70530\n39366 63061\n46777 53182\n7051 7562\n292 67965\n25243 55568\n28563 44530\n8253 85404\n18626 54281\n38629 49630\n15452 82345\n22121 35790\n57162 61353\n35860 78402\n25859 80197\n30680 31586\n16661 78255\n12196 47856\n15319 18128\n26285 31412\n51986 79260\n47851 57545\n4452 14618\n9862 29516\n4072 52530\n23889 43578\n41740 59189\n51488 75673\n6207 17311\n36945 76321\n39362 69498\n21541 24441\n13144 34307\n6365 13238\n64194 67818\n20936 43001\n5464 80505\n60362 71283\n22469 56861\n5398 14511\n64667 73054\n25495 53403\n34606 80608\n7545 82776\n50811 71296\n75721 84729\n13912 51635\n33899 42517\n42035 60781\n76529 85861\n11843 73037\n30475 82222\n1657 35139\n23715 60501\n18622 35821\n14054 52244\n2944 39666\n35145 48598\n41368 80372\n32159 65329\n36749 84143\n11129 43205\n4802 9525\n50529 73041\n60163 77929\n13745 35412\n4643 73953\n37311 60115\n1967 43988\n47171 57947\n37685 68583\n7244 29486\n22867 65581\n35129 68475\n21270 78680\n35653 44101\n25632 60344\n38735 44566\n28060 69619\n40613 54285\n32585 73668\n26505 61483\n4666 6198\n37185 55725\n72881 76306\n5903 81816\n18287 21690\n49825 55814\n64934 71650\n6591 75294\n61969 74020\n2793 59309\n8117 56760\n49384 63682\n16080 28082\n5851 47112\n60515 66800\n43979 81044\n12050 59027\n2529 61528\n80843 85264\n23995 31558\n9834 31544\n35608 36498\n42562 63837\n21199 58924\n9587 77614\n22291 81991\n17068 85767\n17041 75895\n60430 78847\n51401 74090\n3494 38111\n7897 80249\n8625 45870\n33196 33823\n23401 39510\n13572 73844\n76158 85378\n24716 49168\n27465 69179\n30217 82297\n9401 46351\n24108 70546\n11474 20596\n19829 75970\n20977 28911\n8090 78021\n751 68952\n54203 83881\n65607 79378\n15850 24113\n70346 81198\n40595 67826\n31623 76721\n4742 73124\n509 36344\n71714 79044\n31743 31932\n12588 33103\n26557 67190\n17485 67291\n43864 84793\n28170 43877\n15831 42956\n30739 81162\n11318 14463\n6233 20471\n16704 72322\n33387 38688\n28310 75933\n11028 67753\n16322 27128\n56635 84929\n9873 66706\n15490 43090\n6994 41294\n14260 30353\n72200 77759\n40313 78083\n50766 72695\n35369 70313\n31486 74124\n54604 79531\n17884 47473\n14590 28636\n48132 83222\n586 55729\n26248 47722\n24214 29956\n30723 83921\n8316 21857\n11436 20642\n32084 65292\n65234 82152\n24355 35031\n18383 32634\n39440 58307\n21684 51098\n23095 66776\n69330 80328\n33689 65898\n24218 62894\n14769 59361\n1698 41038\n62471 66018\n48975 85077\n8609 43690\n35910 60068\n9406 82021\n13772 75614\n53475 81288\n15827 68839\n47001 75672\n11322 39405\n63193 75092\n24124 51705\n19909 76105\n44493 80502\n752 74261\n16831 68289\n50925 75247\n47735 55981\n7774 52600\n3160 5283\n13369 25056\n29720 48695\n1629 9887\n18483 76559\n44087 45486\n7454 34882\n54073 70021\n24136 35140\n30324 69570\n50915 79349\n40278 75978\n55585 57261\n12850 22794\n5639 35920\n31887 56122\n35379 82606\n20722 38245\n50832 66055\n15896 61378\n36224 52372\n13309 65520\n24075 48879\n1793 53204\n9060 44243\n62179 67846\n34467 80447\n4231 66278\n1853 13938\n40885 59840\n12293 48220\n53943 57948\n13819 20035\n43262 69854\n1772 46263\n35139 65144\n43089 73429\n48354 53063\n33390 80504\n69565 75845\n61507 63758\n31130 80889\n8196 12689\n38788 40333\n18986 78176\n43978 55490\n61452 61575\n14963 60794\n7959 45598\n14777 39876\n32899 43741\n9482 69781\n7504 29735\n23572 29658\n17638 42242\n33551 74705\n1740 44891\n15790 18906\n28341 82749\n15748 32624\n10887 49013\n22845 28414\n30164 31039\n1766 85740\n65976 74618\n10791 69427\n38006 79733\n73411 81009\n37970 59471\n74499 78751\n25083 33590\n28531 70975\n13548 54909\n42257 67729\n3351 72332\n19037 26987\n59517 85440\n36842 66943\n49842 71203\n37294 75623\n46320 52499\n815 22461\n5400 71665\n34338 42713\n21296 72741\n32885 81579\n40495 47503\n7666 66733\n6266 76021\n4175 7714\n13986 39450\n3187 17677\n23832 53437\n15254 20407\n27273 67417\n6904 15621\n4638 9054\n8077 34108\n4867 58595\n34663 72086\n54207 81361\n65630 81595\n34768 45591\n57823 78773\n52438 56427\n5220 68164\n63862 71572\n19970 77658\n2645 78245\n45227 84450\n38655 72647\n31786 34641\n68712 69325\n7815 48896\n65510 80594\n2559 14359\n43139 74609\n43291 49675\n5865 25414\n46106 68847\n68660 77584\n30202 40973\n44273 75078\n28776 83347\n21691 68502\n22402 24538\n41179 73783\n38447 72400\n58787 75267\n1081 74861\n41635 44186\n18119 76070\n5959 7102\n62873 65763\n32384 64464\n62555 66181\n3207 4293\n13352 41423\n33999 78615\n8400 39365\n58570 79019\n3072 13466\n6379 77255\n13578 58043\n61611 82002\n7159 28756\n48155 85638\n47890 53428\n23647 48208\n52015 82014\n35476 74336\n13108 84160\n52649 78515\n8087 43858\n10988 84780\n69333 84196\n44540 85626\n27216 30347\n22525 54850\n22282 77099\n4933 11965\n37352 66075\n53502 72106\n5877 56722\n7295 21122\n1681 67289\n14147 14704\n29963 45824\n28403 47288\n29399 60110\n23549 36089\n2102 61952\n59579 77822\n33280 59587\n35829 58398\n70085 83771\n57071 77390\n61892 68620\n47593 81741\n38388 80693\n117 27300\n6850 36593\n18656 39296\n65745 78980\n7390 65655\n7795 40507\n17364 29222\n1595 84198\n21690 56023\n56825 75663\n62957 82975\n13436 83955\n56229 67537\n66116 70258\n1742 52330\n29145 64489\n81181 85259\n2880 50648\n25827 66366\n44845 65612\n48036 63418\n2286 33304\n20264 29675\n43326 55393\n57554 69218\n35826 54080\n35225 35509\n41804 46690\n59355 62477\n14697 18794\n18461 67219\n7570 31843\n26183 55431\n50427 67501\n52753 76296\n7974 48546\n6862 46447\n23804 69930\n41863 78029\n46955 79621\n22090 25513\n32044 44712\n30872 60547\n55324 64751\n13600 48220\n52862 85093\n35513 39531\n59060 63496\n64648 73624\n46963 80518\n42769 83680\n30249 81967\n31387 34289\n8565 67023\n8599 37575\n38527 40928\n65701 76581\n54555 74148\n1285 30177\n42682 63539\n13012 83028\n48792 72258\n33422 79872\n15240 48173\n61311 71050\n18774 64983\n12096 18187\n54710 75032\n73058 74489\n13745 38623\n39707 65490\n57085 69913\n31268 43814\n53344 65734\n48232 72924\n4476 6286\n14570 26177\n36240 80342\n41991 62329\n22149 43183\n21118 67785\n34357 54077\n64521 72636\n19959 35812\n44054 79215\n24967 30813\n3762 74436\n33037 71868\n22078 56652\n58432 66449\n5285 67457\n5105 22378\n38917 66985\n39180 66543\n2143 62362\n31208 57648\n6442 34217\n21975 34449\n20225 37807\n4732 71958\n21342 75067\n3700 75736\n43224 57142\n9465 16103\n70131 72150\n6173 23107\n48959 84183\n18220 54248\n31028 50982\n4862 66383\n9546 80680\n27052 37199\n17841 82655\n9915 11920\n26751 36208\n12362 35119\n54889 57395\n32680 45053\n67569 77134\n5471 55248\n17856 36823\n52228 54648\n17797 78486\n46853 49073\n41734 57125\n714 28711\n15210 27471\n77419 81497\n55083 65871\n62897 76738\n63868 67163\n4443 32338\n21309 25455\n3149 7093\n24037 28815\n18044 38990\n2142 5389\n9675 11975\n19560 50971\n53023 82364\n24643 53027\n1452 71817\n76516 80071\n27595 29374\n17073 18604\n42213 84931\n46237 48851\n29133 36310\n49098 59423\n47770 54541\n70060 75743\n31382 58101\n32467 37169\n13811 25948\n22894 85682\n25182 40837\n29132 82327\n14300 74370\n62224 85058\n37404 74941\n33066 59269\n22111 36803\n19836 42029\n34170 64582\n8300 54980\n16525 80874\n3794 80743\n31311 62755\n20240 83702\n21724 65500\n34 53714\n59088 84565\n19488 76657\n6878 68886\n18020 64238\n33121 51889\n5618 31973\n7978 36723\n17666 43819\n39567 70796\n10297 73552\n47308 66102\n28194 65984\n13191 49982\n17552 48638\n3382 30343\n16939 77354\n40944 70648\n1963 54252\n9078 55228\n19866 75432\n51105 66984\n12898 43596\n12916 28176\n46573 64267\n33374 68626\n18747 70011\n4493 43317\n57552 77977\n15730 68822\n18859 59440\n18977 34448\n8342 82608\n132 63400\n11739 63248\n2720 64776\n28381 57435\n18917 23363\n17635 42182\n28719 42711\n52005 84762\n6153 69978\n83125 83851\n12365 59400\n25958 65880\n7490 59457\n26701 58612\n3814 49028\n8802 29594\n7228 58057\n4671 18325\n1905 60080\n39325 80331\n9614 75591\n20758 75340\n66840 77340\n13068 41873\n10570 10721\n17737 45312\n36092 84089\n33176 52166\n15300 81239\n23578 25930\n3641 27934\n16842 36880\n15054 78673\n14173 77279\n10296 25256\n11077 20525\n18298 42639\n4442 20100\n23918 63542\n526 52325\n16832 84963\n14466 29000\n14165 50058\n18825 20413\n44281 47526\n32167 46446\n59469 81786\n6573 25372\n46204 78345\n62041 64570\n33828 75393\n2165 15878\n14494 24116\n5809 67104\n672 40485\n19448 39844\n57488 58979\n29943 81290\n21096 79563\n3447 60307\n32851 40053\n16733 31951\n10418 25070\n11799 64147\n34545 82550\n4168 37866\n57798 67269\n57543 62721\n28702 61962\n14437 60053\n65587 68067\n17958 47735\n19201 82118\n3866 37686\n27448 38365\n12711 73180\n7320 44161\n51683 72601\n56191 78094\n43661 79945\n895 23873\n7896 47712\n12914 16948\n1168 83578\n20739 50557\n54215 67967\n39743 44135\n48427 79860\n3037 64535\n32219 52470\n56934 63107\n38042 75791\n26011 61930\n74799 83958\n26574 81351\n39706 83513\n66117 74329\n75174 75488\n9839 16495\n13971 40174\n36159 62704\n43522 61410\n2076 57387\n7941 12715\n74621 78004\n31333 65125\n60234 84224\n15065 45076\n8771 8807\n32133 74646\n12382 42848\n19083 44588\n47179 54324\n53153 75559\n63410 72340\n70059 70704\n17696 75729\n35109 49353\n39529 52660\n40826 64598\n11646 77722\n848 54706\n34144 43042\n3370 48821\n24440 31377\n56846 57768\n11637 55431\n38664 47013\n67250 76802\n31483 76974\n48802 83974\n16055 50796\n23025 74050\n34190 83212\n31559 64260\n26724 30839\n3728 58018\n33890 76143\n50839 52484\n37005 81526\n3240 13494\n30831 41621\n13681 64365\n12710 14994\n51548 84263\n15709 74352\n25455 45934\n10990 60643\n10186 52387\n26251 80948\n7954 75095\n9799 21973\n45781 68219\n14620 84250\n56593 67520\n62699 81031\n13564 65869\n6647 67430\n16343 66580\n62037 64332\n17682 83294\n17144 28945\n9770 13081\n23078 71510\n22085 62277\n33026 55052\n26896 42640\n20424 34124\n26648 56200\n6555 20944\n26371 80679\n12393 49208\n49163 68336\n60300 62712\n63208 71279\n27894 46538\n74645 80015\n55282 58469\n5398 17676\n43823 82777\n56512 78120\n35576 61512\n38449 55786\n25192 44838\n24333 35695\n39205 59744\n25060 78331\n57549 63311\n10151 32106\n18106 61602\n54051 85494\n50318 60279\n3071 68896\n78428 84552\n15528 80430\n21561 30741\n30897 42729\n35731 65135\n45339 54699\n13532 59613\n14080 63835\n11852 76030\n23902 28986\n23978 54891\n4964 60056\n8196 74993\n30184 67214\n24360 44752\n23699 30206\n38046 77906\n9593 9981\n29858 50072\n7333 44206\n48352 73408\n10265 84190\n16963 77766\n8725 85336\n32069 70706\n50685 75300\n22096 47632\n4573 61893\n71191 83958\n21249 37869\n4386 16721\n19068 45623\n29443 44635\n24895 33096\n2751 69706\n19688 56475\n28817 63048\n3080 56082\n6228 60602\n49706 61195\n46769 72649\n38496 52174\n40012 42368\n17743 36594\n5922 46397\n23631 56204\n50821 72600\n12240 12867\n40795 82444\n6174 61915\n55049 73421\n15466 77676\n1734 79437\n22762 25790\n2973 27489\n9129 20669\n49233 73198\n6165 85349\n57960 78357\n8431 61757\n69801 85975\n38540 73420\n41531 58528\n7677 61458\n37983 74313\n7245 24628\n81693 83713\n9528 18801\n2723 33087\n40465 59546\n15133 21040\n6129 11785\n46516 54976\n41053 65183\n38252 72274\n26738 57461\n28032 80815\n22242 82609\n13674 59310\n45217 83122\n2709 25727\n897 72442\n26287 72886\n22950 38816\n26474 51256\n6936 69645\n16156 60934\n6143 35004\n12897 19191\n26089 32043\n50747 51017\n36737 80530\n15322 39277\n1640 69457\n28850 58636\n15339 19632\n8172 33730\n34077 54554\n59817 81568\n50547 81642\n1393 61378\n466 54652\n41842 53032\n9431 65710\n5326 24715\n16784 17168\n36586 63363\n17675 19848\n39644 81094\n53114 56464\n47176 68154\n78181 83293\n27598 81678\n9693 50698\n45830 74498\n45247 75598\n13626 38529\n28435 38150\n8466 32302\n49869 84381\n22807 60599\n24122 28088\n65137 78019\n48430 78757\n11080 68328\n37624 61175\n32573 47379\n61762 69477\n9163 19149\n39830 54210\n56603 72708\n25879 80371\n49902 50202\n75817 85502\n2044 18266\n1103 34097\n23742 30386\n23582 54153\n46008 61217\n13474 62976\n60577 65825\n31598 77259\n10626 47451\n65804 67110\n8336 78091\n7607 30173\n3334 45743\n15510 39222\n33887 34737\n50734 78017\n31096 76706\n7672 35770\n26941 64501\n13052 46624\n4531 15998\n5097 44525\n3151 34297\n381 56771\n18584 21692\n7950 50113\n47126 65104\n19608 82628\n43348 76713\n42860 58461\n26461 76133\n44078 50312\n53898 55716\n25354 32442\n23761 26089\n33613 54129\n38176 42371\n13115 61814\n29805 35311\n17182 73102\n26414 69316\n38348 55683\n10945 31054\n1489 22126\n15399 33840\n57156 85133\n30813 72446\n5952 71175\n34883 62967\n43670 53339\n38524 64335\n5360 7104\n3249 7194\n27943 62345\n27536 55664\n23646 36245\n13938 83450\n1639 8499\n45570 51173\n1631 35823\n41438 47939\n4891 36081\n17962 19982\n12227 54366\n43950 72218\n46345 83119\n16691 40610\n42607 78667\n7762 85038\n20461 40296\n16029 83426\n13996 75451\n9184 55298\n29969 35396\n33073 50151\n60102 69973\n2717 22122\n32837 58224\n4123 75717\n58751 82994\n36213 79453\n34519 67060\n9225 52894\n72450 79525\n27712 43505\n4383 58509\n16006 82839\n11209 20192\n10629 38397\n9921 43546\n24770 29516\n1793 62195\n55505 74476\n1704 27369\n40909 60441\n20981 56801\n17506 17589\n3419 13615\n15609 71494\n3227 57045\n35247 55044\n28671 36983\n11674 20411\n1861 85804\n7615 53313\n21586 81509\n60112 66028\n17566 53214\n11594 36410\n13939 62739\n63248 74341\n49114 78681\n3161 59210\n32892 42281\n42859 66169\n64791 79588\n515 6156\n9822 59580\n40791 42362\n12530 13300\n14734 30074\n46177 67337\n72074 75900\n19898 50951\n56112 76930\n1800 78966\n49548 77955\n25239 28016\n2095 58678\n69320 78919\n8371 54955\n41110 81690\n49896 81456\n25262 69165\n67295 72856\n28826 84979\n20405 56426\n39189 81871\n11295 37783\n34706 64618\n18391 27980\n38503 70376\n6897 84932\n38351 70009\n61457 80053\n52391 68834\n29557 69638\n3044 32436\n17328 59178\n16446 29176\n3271 14452\n31511 62033\n18431 53997\n11604 74815\n5098 53786\n17616 77019\n42397 81429\n19653 69593\n15178 22251\n52785 53536\n19497 63262\n38306 80229\n44566 82898\n43501 76027\n6659 32231\n12793 61200\n75415 81540\n3471 15548\n2343 41785\n6075 45502\n3256 8543\n73964 78282\n16333 32150\n3825 8435\n31905 54818\n18180 67566\n8706 82001\n10948 29961\n5913 29321\n21984 76008\n37845 49678\n66060 69833\n52557 76693\n19631 61425\n1078 21676\n25775 67100\n28939 58844\n57917 69118\n59782 77201\n6580 57547\n22066 31747\n30180 56307\n45992 65083\n20648 65884\n23838 53100\n25143 74219\n27026 85820\n42477 85619\n30165 64983\n41372 46591\n56492 77269\n13234 60084\n13142 52441\n27015 77899\n21227 43591\n10887 54421\n35551 68272\n3944 84194\n20582 24168\n78526 83266\n73487 73885\n4093 46400\n25655 71619\n13970 44125\n6325 24859\n42319 64673\n59262 77814\n30406 67444\n8995 44885\n35572 70711\n15605 68764\n34410 36108\n76420 77619\n12217 27826\n76280 81767\n7224 51029\n18426 79954\n20270 21113\n14655 66993\n4541 15193\n64009 76862\n18336 27938\n40835 62320\n13693 81251\n47919 53362\n15875 40375\n42696 79206\n62120 74697\n51422 61223\n6064 85148\n55905 78941\n46575 58101\n26829 47294\n36676 65681\n5883 14806\n8110 47658\n29917 78047\n25253 78322\n39276 42485\n81004 83055\n64477 72662\n68319 79173\n24388 62669\n3239 45417\n18039 45526\n4573 75239\n59688 78908\n13085 74134\n56489 72145\n19351 23576\n6382 81294\n1895 46496\n43215 57339\n30340 65416\n45026 68615\n52172 76514\n20556 49997\n25366 31454\n28959 73500\n33117 35473\n28758 77686\n48771 67432\n31041 72446\n1093 54813\n47397 53667\n16100 83826\n12158 68024\n13800 74925\n29952 84064\n8379 21941\n27525 69934\n1865 84806\n58343 84830\n34880 76160\n68491 80391\n16780 67235\n8987 39612\n44481 78972\n15782 61079\n55633 57683\n14165 34228\n25690 51407\n59636 62385\n47646 49858\n14669 68353\n43318 73392\n2583 62431\n54415 69052\n20738 21317\n40571 41012\n51107 70251\n9635 47621\n13191 84847\n14503 28103\n26990 62267\n28145 85614\n1121 12613\n2719 25357\n48632 68945\n44296 66399\n29180 75150\n39103 59157\n38428 38674\n19276 44797\n69236 73232\n34694 79632\n43662 77865\n10123 38647\n1011 43168\n10030 41861\n31659 58346\n24587 65824\n20498 28036\n50539 65213\n15616 17549\n13998 69738\n35072 35706\n12505 75583\n50040 65576\n12833 52911\n34529 45030\n48519 49481\n72823 83082\n21928 54773\n12775 57332\n9535 68448\n9224 83725\n30173 65965\n28931 54549\n31806 60856\n1284 27027\n3622 78950\n16651 23319\n48602 84738\n73459 79681\n33124 50236\n14917 30384\n56340 65644\n34123 58735\n17243 45624\n7723 76042\n5335 48041\n59422 64690\n55558 69991\n32399 51360\n53926 67116\n10251 43324\n13589 65267\n43120 66088\n53893 79443\n1399 59281\n48807 52207\n10243 74901\n20724 71807\n71790 80784\n46107 76643\n4360 49919\n22702 71522\n3457 75483\n31073 79571\n22146 75450\n61874 62468\n10794 20461\n24386 57998\n37970 70066\n33204 39174\n36201 42474\n49297 54129\n23767 59959\n72217 75988\n31874 74425\n8216 69377\n32041 83342\n73086 79376\n37916 63682\n9661 59324\n47169 79025\n7429 70378\n54225 62110\n7133 76552\n18412 78216\n41012 64880\n27504 61066\n6559 60641\n25299 45701\n74563 77488\n3284 51403\n611 10411\n11391 25613\n22707 69854\n49508 70149\n40442 50125\n28579 76268\n38253 46421\n50613 77710\n15595 52358\n73931 74793\n14415 31057\n15448 60933\n29470 40007\n21252 83544\n30626 71497\n25156 65091\n17695 59882\n70326 84924\n17634 58911\n3660 57280\n23038 33421\n51043 69302\n8055 63168\n25457 78114\n14801 62410\n24317 38418\n17684 34698\n39078 84050\n28861 47406\n49924 65339\n39877 44394\n12542 77473\n53371 55075\n52648 58553\n12672 63905\n19785 57135\n25159 50051\n45620 76232\n2906 11883\n74480 76738\n22940 31580\n7494 83393\n5091 28286\n51796 64612\n13272 82841\n23706 34753\n56140 81444\n4171 32318\n22336 78511\n204 21432\n1283 16573\n1480 20897\n7278 16057\n5257 46779\n8755 30328\n31121 53960\n8835 57985\n61043 71536\n56634 59080\n34365 78691\n1903 62605\n24397 68296\n37983 56757\n19196 82362\n38748 55999\n41097 67704\n53515 77571\n11881 45248\n22586 47904\n4296 82821\n17519 29863\n19500 28725\n14874 45184\n66789 68157\n36654 61114\n31532 72025\n24585 45282\n38521 50318\n6580 35129\n10216 42133\n18622 63490\n16710 66715\n6492 18768\n49900 70690\n16405 42918\n6600 33769\n9578 40816\n31191 52154\n69810 85704\n24404 74476\n10140 17531\n61001 85388\n24893 74477\n69967 78637\n59496 76279\n50564 53312\n29836 78702\n51631 53804\n28387 61580\n19230 84211\n25787 63294\n57665 69469\n11599 13280\n7030 15251\n9099 53977\n3760 49183\n12392 17012\n9416 67029\n18063 45256\n15997 84228\n30569 79805\n30393 68099\n10829 48560\n2415 79325\n55050 82995\n8317 29474\n68812 74871\n10016 22301\n5873 72585\n47466 76088\n36495 69175\n40832 85655\n31834 78680\n5541 63555\n10981 54075\n13334 83315\n67367 82479\n55917 80802\n10298 31876\n20323 72203\n21301 76728\n44932 67534\n9044 82807\n24170 82617\n18238 36695\n3511 51243\n72635 84056\n11816 70451\n4240 10156\n15721 21544\n42971 84789\n10957 41131\n18182 65501\n29111 42340\n29360 32429\n5456 29725\n38613 78784\n48185 74155\n42057 47093\n11984 57848\n5312 44792\n57126 81795\n23899 55309\n79614 80159\n22021 80585\n15384 47738\n35906 76735\n20446 35672\n17010 36191\n65108 68216\n22088 25254\n39382 47125\n46633 83155\n32552 84239\n11110 81500\n39627 44288\n6919 79207\n48036 73268\n37921 65169\n11496 17343\n5044 66354\n2414 37561\n4897 26445\n25363 32136\n242 34079\n10030 27304\n20282 52279\n1886 68730\n3473 42082\n33433 34287\n15984 61185\n1692 65761\n7167 30750\n50313 72100\n66592 76499\n24181 33784\n35884 67681\n15590 40153\n47543 78415\n63634 70289\n38643 59121\n12305 23405\n20327 36538\n29751 39257\n45118 82270\n29322 48279\n2112 24054\n51026 85973\n50287 73386\n25643 61263\n24228 67238\n37437 80781\n326 84307\n31327 75958\n30181 80437\n57077 85000\n15218 58315\n10898 36909\n46822 80236\n63982 71909\n6769 62038\n16749 17139\n22099 32909\n9511 52891\n24256 66550\n7649 64377\n52883 75547\n9313 44131\n2259 23535\n68381 77181\n68465 75734\n6181 14821\n58005 67044\n82229 85035\n29729 37374\n60827 68590\n32920 52053\n41192 73015\n32624 48584\n19338 47358\n8929 42547\n68716 70376\n2878 42190\n9446 54444\n11875 39910\n19099 73421\n10270 81381\n21622 53987\n24388 36789\n31799 75397\n4574 27485\n20946 46750\n31573 77118\n551 84636\n20861 45612\n19847 54930\n15786 50677\n22565 65640\n7404 44008\n27542 33380\n26515 28997\n58376 79455\n25625 69504\n6236 22335\n7986 61128\n13169 20766\n13238 41817\n12104 39331\n13082 81250\n33650 68528\n6599 70940\n62313 83723\n64888 70337\n45176 52536\n34090 82942\n36631 54450\n27285 82724\n1580 52753\n32390 77715\n48992 74813\n74726 83110\n46763 52357\n14917 85520\n10717 67897\n60993 73695\n60079 76993\n11857 47794\n60828 74293\n13708 85459\n2054 67835\n8069 46671\n27911 72720\n17746 41650\n591 59752\n22267 83522\n17741 30832\n6073 11186\n37020 56471\n18085 39820\n24624 56026\n2457 55637\n2387 69592\n2520 59662\n7188 9604\n20148 76162\n11485 75195\n4313 56425\n56724 63965\n13841 57059\n36485 46772\n37052 65738\n18283 70037\n70802 71021\n11674 66252\n55865 60890\n26363 49974\n35635 54074\n23069 25189\n28907 85561\n21291 46462\n16778 78064\n11097 62010\n19251 48732\n16089 61920\n41839 67297\n41926 52971\n50482 66616\n8423 54655\n39908 47282\n43940 63584\n16355 54820\n57888 75766\n1685 4271\n1828 61481\n5630 77972\n19465 59234\n32158 85478\n11719 34358\n5635 58523\n10094 36072\n34061 35234\n60768 75923\n51999 62773\n39654 45019\n37635 67115\n12991 48803\n16367 30278\n538 21938\n2470 74683\n9268 9565\n11366 78380\n4868 66072\n11695 17580\n53932 61944\n58054 82677\n41158 75505\n26517 50818\n17676 20618\n50666 51246\n59118 71941\n3062 46462\n8372 83990\n2638 6733\n18201 50833\n9988 64045\n56396 83233\n68082 85655\n2092 43373\n34146 77820\n16018 63461\n39130 43540\n34741 52978\n52308 54925\n21998 51005\n69861 77532\n8003 48594\n17859 25472\n45849 72194\n2299 41560\n14580 52068\n21490 85623\n40399 47692\n40457 73723\n20437 74123\n68058 81215\n35156 46503\n3910 66334\n3388 18952\n8552 15634\n6130 61265\n1486 81313\n51303 67094\n1261 79625\n5720 18040\n24155 25135\n3648 71732\n14443 31171\n57484 64413\n15992 79991\n17562 17769\n17881 82104\n63633 70114\n15632 71788\n5819 32997\n28423 28876\n6144 11529\n35113 38693\n9299 79853\n333 56754\n27619 70974\n64587 74153\n25748 72083\n49509 64685\n29919 74540\n31233 76799\n64673 76934\n26718 38614\n18465 54965\n71438 77841\n10362 45537\n30608 33006\n33714 60671\n12628 57754\n19257 71433\n4743 59033\n7338 77350\n31598 40266\n41900 45700\n49543 76746\n20231 75403\n42481 55441\n26684 31465\n14882 77001\n1705 31480\n20994 64762\n66441 75983\n22882 44230\n6138 14910\n6075 31120\n14505 52545\n72965 75728\n19320 51011\n11740 44130\n4047 83844\n35887 67504\n10615 67640\n40237 44414\n59644 65200\n76677 78395\n6252 37832\n38559 80135\n19322 83152\n8795 75868\n31060 46571\n34350 36386\n59922 64485\n30422 32693\n75425 80291\n5099 76359\n58222 61191\n33550 46994\n1531 16367\n34212 40136\n11363 17755\n5044 13161\n33333 51479\n18825 85682\n61453 77634\n33324 53479\n60495 69076\n21186 77744\n4986 56018\n7456 42098\n69326 76764\n24698 52283\n45309 77723\n5786 52577\n4114 8950\n12267 82813\n4626 25424\n11126 24098\n58093 81686\n13744 29450\n75978 79832\n31173 33156\n54433 67343\n20375 69385\n45578 46012\n15474 31738\n31968 42994\n21181 36783\n33592 64641\n7633 66014\n61212 66465\n16181 42157\n27025 53795\n37682 62925\n43625 83461\n61529 64348\n24904 60661\n52082 76267\n15864 21599\n10204 24722\n34923 66005\n311 38839\n30190 83285\n20348 71611\n20418 21293\n10761 66527\n4522 34268\n33905 50560\n12087 17001\n17202 48418\n28634 44601\n37949 41956\n17083 42553\n26340 70798\n35329 38090\n15712 45909\n33881 50567\n36353 36703\n21767 36158\n5604 60876\n44104 52040\n16427 81197\n10579 28897\n40092 74339\n31951 70584\n23826 34289\n33246 73329\n25588 46767\n18637 44137\n36853 43384\n5524 44995\n4929 27965\n6264 45783\n31465 44771\n27246 37110\n31601 66456\n10444 21064\n31242 44293\n29249 78162\n50670 59784\n38126 44277\n14090 83213\n18144 69532\n38808 73057\n13739 40640\n54312 62976\n61206 65050\n50873 69630\n20171 70320\n9196 55233\n26258 34544\n26002 72988\n66109 77161\n762 82869\n68946 76275\n422 40427\n27965 35979\n33993 73053\n30129 84131\n66370 70483\n44560 45935\n74675 79463\n11287 58071\n16809 20876\n20030 25236\n69880 73581\n13212 73936\n33330 64445\n19675 22051\n41760 74069\n21446 66558\n13562 21706\n8310 8738\n2578 9312\n901 60099\n43776 53050\n19321 40059\n44622 54026\n7005 85865\n46363 74780\n5550 55415\n18646 77515\n8470 15481\n847 13464\n75585 76477\n4141 54154\n3136 48318\n54138 58079\n2233 31399\n2028 41038\n375 3209\n19641 85321\n30607 61808\n61894 63741\n71110 78184\n4723 66366\n10062 81269\n22861 56846\n33381 48217\n9840 49123\n19164 69804\n74258 80945\n785 31809\n26844 47034\n363 33909\n77509 85099\n38055 83948\n6078 84422\n51401 53291\n2279 33366\n45910 62088\n25205 80734\n2194 83226\n11050 13731\n3246 15898\n24906 66694\n7879 27517\n66420 71334\n47254 67001\n34959 65035\n45524 54242\n29386 77579\n13571 52087\n10860 22052\n53525 66673\n46721 48370\n10706 31328\n699 34168\n13914 36713\n9972 21330\n35911 60140\n16371 42264\n19592 50629\n3068 62580\n31 75661\n64389 82407\n28649 58185\n10872 14803\n30369 41220\n37908 51010\n6487 7786\n39603 54199\n62220 85452\n70833 75189\n64904 79250\n18086 33488\n31559 76554\n9824 43622\n5474 21398\n36644 80339\n64630 68477\n54045 81145\n3715 74414\n34484 65217\n4203 82965\n20786 62057\n48741 59318\n59214 84768\n19096 59067\n59195 68769\n47253 51882\n27695 36485\n767 5078\n16251 68486\n1852 81048\n37505 77627\n64427 67152\n28089 34898\n33838 47297\n45188 68344\n41746 45667\n65950 71023\n15455 37074\n26553 59607\n10813 17897\n29933 38806\n2656 37635\n35692 73237\n16934 31978\n15949 56030\n40658 63752\n4941 43146\n10048 43187\n19629 20866\n1217 38624\n31293 60100\n21526 61405\n8317 32187\n31817 41124\n28499 71895\n54598 85638\n18161 65817\n6926 34996\n3920 52257\n3470 63206\n26096 54995\n2348 75623\n2453 50781\n4308 40147\n692 10189\n69998 79933\n35866 70700\n1661 41611\n39752 46776\n57432 67747\n5329 25919\n6754 36668\n36494 39185\n34097 58735\n6331 38299\n16818 22091\n9541 77470\n32139 78519\n73073 79705\n10426 78574\n44290 54422\n41465 82755\n61816 74431\n70530 79406\n6732 44618\n19176 34134\n1112 50350\n81794 85925\n20717 29193\n14433 49418\n28818 38805\n52244 61718\n43061 57001\n8824 51137\n1849 49483\n7694 82688\n20272 68323\n7726 70623\n42022 57251\n55973 71506\n3924 5555\n7152 17988\n14826 39587\n30568 43203\n26544 47098\n20332 62084\n25560 82412\n7813 38881\n46563 50285\n29897 68379\n45414 49859\n40430 73842\n31688 83417\n24004 38704\n11004 35012\n9817 74296\n2677 82440\n9961 79872\n19719 58598\n6523 29450\n37005 78934\n6675 16753\n5388 65186\n60829 73226\n22728 70234\n36523 40683\n60360 66213\n62732 83131\n34840 79591\n49237 82159\n14709 39746\n24199 29760\n25761 50517\n6020 6855\n51909 55294\n50852 62077\n24535 29780\n21075 21354\n35765 43476\n1756 81822\n31436 82185\n49847 60616\n11440 13462\n13981 14409\n24328 40978\n30092 76962\n8657 51444\n53490 60913\n47311 56999\n33400 53767\n8369 10585\n40963 85897\n62974 65918\n19368 48020\n50890 51228\n18656 48251\n4924 23568\n4829 47028\n4110 43740\n21695 85542\n59273 64206\n4960 7036\n11428 66753\n55009 62958\n26401 33508\n679 73751\n55408 72938\n29717 62433\n41328 59369\n965 45482\n10736 38770\n21090 56021\n47501 82380\n2029 73855\n49318 71011\n56560 69531\n35823 79418\n62210 85611\n60689 73048\n47302 57730\n6468 29857\n30845 53599\n8861 13305\n11008 77504\n39464 65440\n22623 36765\n61521 82981\n2989 39799\n21012 58758\n5789 25560\n36879 66374\n25001 43696\n12201 28671\n19283 72125\n10660 22151\n2384 65002\n76712 83924\n12182 31569\n13156 72607\n43589 75560\n79799 85944\n17781 63192\n16681 20741\n12874 15416\n43982 63133\n14573 77556\n642 46987\n26703 28672\n24652 73938\n30111 37146\n47180 53029\n35181 79157\n2551 58584\n15160 69749\n17783 41668\n7516 76503\n24829 56516\n43661 49267\n48569 74472\n33716 43212\n263 36045\n28666 39220\n54561 84430\n62655 74313\n15039 17954\n56249 60724\n19768 52684\n45808 73921\n5928 18311\n11268 13371\n62697 80997\n39575 41281\n21884 29841\n12406 20354\n1905 15708\n31495 39248\n80019 84765\n25809 63259\n1180 35395\n4027 52214\n56787 76822\n45157 70874\n14660 20662\n62206 68199\n3602 83132\n47440 85986\n37106 42412\n11036 44470\n8101 27558\n31225 52137\n13122 49297\n2322 22864\n17124 35065\n12728 80102\n10715 64640\n4348 26308\n15307 30752\n26919 57153\n6572 27482\n5816 29424\n30279 65026\n29988 79591\n43552 58277\n14713 77582\n76827 77324\n69781 78658\n35416 48452\n68055 75489\n62412 85791\n17813 21625\n6881 16581\n4955 33469\n40231 84377\n22699 57693\n25635 38756\n28613 48194\n37606 53759\n3168 38555\n24121 71053\n920 12331\n10404 85034\n56104 62497\n754 8232\n16132 69338\n23236 25459\n8603 84044\n2567 40563\n77188 83650\n45950 59553\n36999 54438\n46625 76910\n73694 74042\n25 20845\n9535 28410\n43689 48098\n36177 62761\n67365 70025\n47710 78233\n6137 74003\n2853 82030\n7563 9107\n50843 72792\n14942 15106\n8836 64527\n53754 64502\n44747 83458\n16385 29692\n22351 25831\n45889 79782\n45995 48407\n14285 48399\n32052 46615\n24636 57791\n12839 81549\n5011 83879\n62242 73023\n72530 76798\n51003 70013\n24388 53949\n64089 75754\n76055 85483\n22688 78890\n76307 82096\n1729 83506\n2249 20812\n13433 75180\n6224 80283\n44518 63611\n21068 43490\n15725 74332\n8417 32205\n6228 82846\n55434 73855\n7400 67721\n31314 48059\n57543 79364\n28071 56393\n63365 77219\n54813 67767\n11175 45881\n61197 76548\n53377 63844\n15363 42282\n74469 79802\n11493 82409\n2810 23685\n36014 65260\n55375 66572\n26155 72269\n55001 65665\n20095 48723\n6029 77031\n55417 67977\n9473 83426\n4707 45392\n60890 66091\n74628 75707\n13915 68296\n66626 75285\n9682 56281\n3064 82569\n6190 14097\n24288 33419\n50090 83471\n29383 30454\n29736 64450\n44355 57116\n43196 55034\n33027 73706\n47524 55311\n23921 45044\n22644 27749\n45720 77247\n20888 78787\n27831 57699\n14503 61719\n35853 70068\n21529 25497\n54917 66971\n70391 83627\n13483 42629\n9817 61405\n6569 73936\n25275 59288\n19662 64258\n55214 66360\n9427 39573\n400 76907\n44472 81013\n56060 84826\n18651 41742\n53056 70462\n53734 57918\n42078 65084\n17052 75592\n5996 47789\n55862 62543\n75297 77940\n45078 49931\n17210 75985\n30885 79307\n24980 74679\n63825 65115\n6062 84919\n28984 37320\n18475 24504\n75933 79784\n24354 75830\n54810 72313\n33522 55836\n47146 67532\n13543 20313\n34347 44424\n11698 64990\n2272 79353\n7679 16417\n65160 69126\n36865 55911\n11294 15424\n16890 81175\n41211 77729\n32453 83537\n50122 83670\n13368 81015\n53798 74809\n5222 31666\n24774 73403\n26212 49785\n39947 85435\n27785 79168\n21195 45758\n1694 51699\n44926 77747\n61316 70748\n24041 68396\n7301 38212\n43995 52408\n62395 78350\n44600 85535\n61478 64443\n14406 62267\n7700 75309\n39440 75105\n1212 73926\n7609 84187\n20214 33530\n6239 73073\n46439 78682\n17605 34250\n63418 71247\n4162 42826\n19118 81453\n20023 60548\n61548 81913\n51521 84074\n5419 25410\n2270 3870\n61722 85304\n3012 60703\n40479 84755\n18456 76226\n5549 45219\n4558 42729\n777 28053\n64677 82388\n58108 80127\n2813 66639\n26807 45664\n53832 81275\n17279 60543\n74093 85797\n27602 33343\n7652 12229\n59827 75220\n38833 64838\n45007 67218\n58355 71767\n12321 44858\n6718 39602\n48093 61174\n4362 74128\n24653 26582\n53539 84479\n39929 47061\n2487 16998\n8177 40233\n54029 59115\n64122 75062\n47735 57937\n25948 73339\n28469 52785\n7965 85796\n8843 33999\n65028 66949\n5407 48812\n30132 79458\n5907 36389\n10256 46885\n29544 54228\n12995 58537\n61813 78681\n5352 79028\n24255 51374\n16392 51912\n26279 82406\n6174 72775\n60582 68457\n10951 53710\n75216 84221\n19322 81045\n28366 42327\n38886 63117\n27063 51008\n59856 85279\n2471 64632\n25779 43110\n39720 51069\n41270 68809\n33382 49303\n17808 41018\n63918 76843\n36445 59229\n50861 84930\n63842 80561\n21373 70744\n1320 11343\n8554 66810\n18662 76897\n11964 76929\n35904 83729\n39002 77757\n59293 64991\n70041 83463\n26924 60519\n7575 71542\n6026 37688\n5117 54312\n9692 32639\n69265 80042\n5863 25518\n5800 32664\n2454 48519\n786 17471\n36289 83280\n45706 51474\n67633 74246\n4114 24666\n27094 67974\n37047 42145\n45931 70755\n49144 80425\n30257 83541\n29649 75815\n15478 56594\n24401 59022\n68271 85523\n27596 31665\n49933 67849\n9116 13113\n72642 74759\n24940 34573\n57405 71203\n33692 62508\n13967 54533\n32791 78914\n33374 46385\n816 43946\n22207 36885\n15134 76506\n6887 23030\n6428 16634\n4247 15151\n71234 84996\n20975 83035\n10512 75112\n36902 66459\n30047 41084\n42797 77690\n10575 60052\n46966 53244\n3046 69932\n65001 70050\n28788 58962\n47983 48470\n5389 79759\n11945 52251\n12244 37969\n4456 17149\n21232 36760\n37727 81303\n84444 85456\n38522 39772\n15801 64432\n855 42682\n27246 69198\n7535 15966\n27002 78391\n39183 84024\n28108 78996\n11324 85339\n10539 71022\n3154 72158\n6744 38631\n39889 67636\n44450 58803\n8394 69415\n56500 78713\n209 23211\n44747 79056\n6913 22489\n11752 40414\n2794 46503\n26493 52437\n16646 43501\n36469 58684\n5008 60237\n20351 64373\n4133 39581\n10805 17491\n35701 71444\n61596 64181\n42241 75915\n20606 46577\n44410 50644\n40333 48184\n33153 42598\n50495 54476\n26947 59968\n59392 68008\n25550 76950\n2241 71711\n31860 83559\n67517 77089\n36976 66138\n34242 43097\n12774 59646\n20003 43691\n2032 17369\n24545 49864\n54612 62618\n28333 78426\n52216 71658\n16451 77436\n8095 11143\n3228 54190\n46149 75745\n10200 23814\n25827 34572\n721 78146\n17816 45989\n39182 81477\n1308 49585\n46924 82066\n19441 73707\n32840 61771\n34200 52935\n27939 42611\n7211 69494\n20231 41803\n51849 78629\n8960 20702\n5013 80901\n35328 60240\n40410 43388\n39104 75077\n7250 33716\n10207 33118\n17700 19776\n37384 75306\n47151 80060\n41046 80447\n34578 75667\n26929 29797\n34451 63807\n3796 27015\n37595 43752\n38968 46769\n20498 67070\n4621 67831\n41526 63655\n50735 64153\n34993 80872\n7938 44568\n25469 37262\n43007 65892\n51908 67082\n8047 75688\n29650 52279\n21978 48224\n12321 85840\n18916 61175\n32858 69350\n17990 70241\n31535 66779\n9599 65892\n36164 80203\n9036 50699\n43311 52844\n30809 33177\n10415 76940\n49809 59262\n50287 68658\n3411 47934\n47337 61947\n81162 85873\n56954 84194\n34939 69997\n58741 70223\n17464 49990\n32968 44412\n194 28603\n5461 50110\n6281 85300\n7801 81952\n39637 81854\n13777 63415\n20845 43680\n41612 50242\n48472 83751\n22078 33293\n19763 42945\n44218 56017\n15401 63317\n24777 28424\n119 5781\n42051 74862\n12226 12672\n12568 37667\n70282 85260\n15272 69773\n27422 59865\n53267 53547\n48593 80362\n39966 75569\n9295 79431\n8134 72120\n14634 55445\n8696 64975\n52237 53156\n34463 68246\n36451 77221\n29398 75206\n38075 76201\n44715 80168\n41880 66072\n15475 82418\n6609 46247\n24563 48857\n2204 84221\n19033 28117\n41393 69345\n16052 30907\n49997 58062\n41815 80960\n34917 64809\n10715 42948\n10280 43362\n11553 81329\n30425 71781\n18541 77898\n35232 50749\n17546 60379\n5313 40630\n37275 57525\n66819 75456\n47658 73429\n53846 64383\n54408 83304\n63714 85194\n54433 77291\n15552 67447\n39199 53280\n31502 35556\n36787 45567\n64636 85869\n16583 39632\n55042 75982\n56154 67184\n32359 36116\n54098 73439\n7794 37720\n44634 52923\n46317 84529\n17967 55897\n39122 64278\n9087 54238\n1547 45801\n31920 51406\n31621 41120\n82397 85599\n4836 50694\n74078 78999\n56082 56798\n35189 70956\n40145 65708\n45246 69175\n19837 48894\n12814 85432\n26251 48682\n34637 68797\n1954 45960\n23422 41846\n32740 85121\n29651 48290\n49298 54837\n52349 53556\n39806 58801\n18842 85322\n38790 48610\n13159 79879\n4201 66955\n37883 76596\n59191 62230\n53070 63551\n67107 85949\n9313 20127\n2650 59426\n66682 72467\n13690 74730\n1328 27714\n2958 60744\n7573 45439\n3442 9426\n29911 67969\n20407 22641\n54545 79500\n24480 56782\n37885 85375\n16228 84744\n78217 79911\n4582 44330\n26852 73231\n7148 54214\n5113 80296\n22217 27024\n31721 73521\n22219 44777\n53475 75617\n44048 67340\n22948 29562\n31395 47540\n41577 46609\n46159 71796\n1613 52979\n52863 70369\n37741 39815\n18717 54594\n2064 75576\n31897 77135\n54677 79837\n47316 80791\n46245 77824\n53911 58535\n4823 33420\n52445 84292\n3069 69374\n26653 52594\n24302 75855\n18068 48225\n63047 63618\n2166 19666\n1662 17031\n10125 71555\n17518 85759\n80272 80866\n61305 61538\n30568 79924\n9486 66144\n36116 51789\n12617 66728\n38602 49691\n3131 7491\n36983 45164\n11407 43817\n47511 81094\n39045 80784\n72672 85426\n9098 84776\n35076 83865\n49666 58610\n16347 47678\n25863 26752\n8250 30898\n5113 85591\n25984 62947\n56578 71906\n19204 59882\n61216 79493\n5066 61217\n20146 85400\n27309 51509\n14827 29538\n51541 73710\n733 65402\n16976 32589\n21205 42928\n64455 76716\n5736 62649\n19990 79061\n9824 17777\n70781 79279\n37365 53886\n1038 40326\n13418 64288\n11096 78440\n12413 41894\n26849 68933\n24248 70513\n3089 71073\n44061 85406\n64146 83981\n45435 84434\n11404 37250\n5562 68858\n18148 59140\n59688 62931\n22018 40785\n48227 84831\n20034 75280\n77316 83919\n1109 54489\n54601 69078\n66434 69397\n34856 35116\n21342 63222\n55220 78877\n61693 85474\n9999 56849\n54918 76822\n19125 74503\n64961 73631\n24891 84712\n16979 42631\n31692 77312\n15094 18663\n61425 81432\n69339 81670\n30084 60049\n14289 69497\n52252 80441\n42847 76631\n16642 81498\n57831 61059\n51360 63238\n61705 61749\n2412 79962\n390 45498\n18429 33023\n36926 44042\n53549 62991\n38687 73326\n81043 83050\n12249 79155\n14571 40565\n1136 80480\n8319 22295\n6363 49268\n75536 85199\n19997 64684\n7538 61006\n10661 34993\n1656 21548\n41716 81706\n18666 59910\n19997 65951\n48483 79388\n1077 73072\n46984 66924\n41679 69990\n64650 65990\n6828 41415\n1792 5873\n71168 77829\n25225 59772\n69882 79092\n55982 58859\n5413 69180\n54840 81305\n66268 82831\n17321 58332\n5318 84979\n65334 76907\n56819 62384\n34786 77038\n11734 42471\n6476 63930\n9554 79652\n2475 83897\n21930 67110\n67309 74140\n8266 19316\n60597 81816\n49502 79895\n23143 58526\n24775 77222\n58844 60443\n20580 40565\n73 12370\n55022 78241\n42185 77494\n36069 36309\n28963 62341\n599 12153\n38461 65639\n20513 34844\n21794 82796\n39813 68144\n18622 57518\n26309 43568\n26901 54812\n40641 83019\n605 31049\n39009 53685\n4755 76970\n16383 35336\n50176 70361\n16511 31904\n17698 69599\n46870 57646\n50956 58201\n17167 22418\n33242 76543\n29061 62889\n19306 62120\n3674 29544\n29294 30514\n44198 69252\n40221 82086\n19134 24177\n7119 64630\n44615 60623\n37233 82696\n11582 22470\n29109 63079\n1519 19222\n48068 54624\n37519 70621\n41036 64932\n33069 76606\n31193 65520\n61645 75416\n24089 62199\n9374 65474\n6718 22527\n11771 54585\n15531 66476\n72520 75435\n11859 50203\n30364 45788\n24826 62685\n4706 62316\n54189 80215\n53724 81046\n4277 72561\n44663 62970\n231 7319\n47266 85498\n66984 74896\n23424 64394\n8257 83459\n46527 76157\n30603 68212\n10701 46543\n3315 12878\n2279 24555\n67903 85218\n32947 66466\n8898 56327\n1348 4945\n35297 46617\n66134 72778\n13445 44657\n19979 23499\n30850 85473\n73876 76137\n709 1662\n9031 78001\n394 83575\n1463 15295\n4667 49592\n1609 81337\n73660 74922\n41528 52846\n3399 46413\n53166 66636\n8756 13845\n27217 69175\n44468 50472\n25638 38678\n10775 46017\n3233 70800\n9668 18956\n13713 18613\n15011 41621\n19366 62693\n13946 51707\n47459 78074\n26920 35262\n20106 56380\n51401 77087\n4143 53913\n16820 49032\n70870 83226\n35952 54341\n20087 27990\n50973 52006\n1398 58668\n33848 67752\n33780 67682\n31239 48203\n2374 75307\n28097 60080\n52332 59768\n49261 53191\n1560 79008\n42935 51673\n14903 44796\n48722 75759\n8251 74814\n9391 57506\n18313 76724\n29207 73964\n12483 23636\n59306 78138\n14900 74219\n8891 23146\n25329 41900\n3786 15989\n11999 73419\n55562 71372\n52586 59631\n553 1973\n1579 16539\n30188 40882\n39741 62454\n73010 79793\n47999 64335\n54821 76221\n16832 78300\n24436 41768\n12853 25922\n12009 78472\n82606 84778\n41857 63985\n13321 20608\n26629 74280\n30184 65823\n5752 14195\n19186 51832\n10870 50817\n22428 45785\n18230 70228\n11712 25675\n61071 84364\n61843 76879\n77981 85365\n12099 66030\n6997 43797\n59996 80104\n28429 72870\n22153 48603\n40682 63281\n32194 84497\n35794 72421\n4108 67587\n41781 63393\n66887 77492\n31195 53017\n44874 69885\n2161 46109\n42779 52896\n45555 64733\n46168 67830\n45021 62971\n46994 67157\n65406 83736\n16118 57435\n6959 8426\n13997 21039\n25131 53417\n30973 79764\n30029 30748\n39386 72258\n30367 66738\n16912 63137\n67777 81593\n23809 59717\n43153 78030\n33892 75958\n35818 48677\n1445 5295\n4003 8202\n48655 76491\n60520 67596\n18081 28808\n12450 46333\n14411 27443\n64201 67289\n5638 44363\n3292 72963\n17757 74515\n8078 70566\n45986 69562\n8159 10904\n59647 78843\n14091 63560\n30520 75110\n25019 70005\n79219 81490\n13196 73007\n4813 29963\n62914 79056\n67258 73053\n61196 71764\n53449 81095\n25118 31722\n49308 81477\n55427 84426\n44483 49811\n1406 35040\n3528 23682\n51824 76000\n77717 81523\n12518 22239\n8523 60575\n19821 27708\n6815 45281\n38022 85686\n59404 69440\n16281 53675\n10022 52053\n29192 69685\n39201 52502\n71004 75980\n45194 84868\n33256 83884\n42238 48117\n25540 66032\n1246 77012\n25244 67087\n32896 48881\n19929 27712\n3310 26478\n1993 9267\n2456 84091\n26506 59694\n34817 81130\n29873 50729\n27150 50190\n19294 46685\n7807 20227\n63542 85420\n38759 51291\n33602 64463\n18971 49357\n18199 18344\n12777 25263\n42947 61457\n45185 53490\n2487 56860\n10787 67692\n10521 67325\n8571 20276\n71158 84401\n41800 63914\n23192 65907\n35726 60942\n65155 74203\n51149 54761\n15029 52067\n29920 38161\n12613 71937\n45686 61839\n50085 64141\n1065 65601\n41979 66742\n435 74645\n30049 57282\n11043 75214\n61604 67875\n6557 69042\n21039 79133\n23483 31446\n13494 66811\n46838 68242\n73419 83093\n19531 45807\n79194 80242\n8846 11321\n25225 32993\n26175 78210\n12826 69966\n45899 76121\n50363 60594\n20718 46012\n37962 76374\n6123 19043\n17092 37178\n25604 46583\n48927 83760\n19455 56733\n27944 82448\n13193 41636\n39628 42496\n66551 84034\n22525 31941\n33115 46276\n5373 34262\n65954 73344\n34690 56305\n880 67885\n14631 80821\n49401 69390\n36688 53749\n169 14085\n20558 24623\n62809 83339\n23237 69383\n18049 18333\n8658 45322\n52414 59978\n50975 77041\n20765 59789\n69044 73145\n36329 60361\n70261 75923\n7286 33607\n56275 68353\n36715 81568\n15641 23025\n37385 77859\n28327 61223\n28019 54924\n52583 58421\n40742 62384\n53260 78484\n21725 84279\n35856 57766\n20253 60143\n21051 81050\n40735 63412\n25545 61942\n28325 66287\n17349 64325\n18819 53451\n38496 46100\n70913 79390\n29268 73809\n40063 66875\n2847 27127\n6091 35492\n9301 47974\n52866 58598\n17184 27792\n14700 81778\n52683 63762\n13643 73236\n7666 77054\n38841 78297\n14722 61574\n26538 40419\n23447 43099\n5595 64926\n4827 60015\n55710 68122\n40086 43062\n37374 38075\n53407 78248\n4095 26498\n116 48187\n12042 24503\n64276 82527\n16050 50855\n31098 70187\n255 22153\n36552 83235\n12221 81824\n31681 36121\n26633 57516\n34654 36123\n41715 47792\n28341 60231\n31254 78807\n43760 72554\n55093 73921\n67096 67228\n13279 55843\n238 17405\n42815 84047\n21521 45600\n27690 32516\n8213 70763\n16630 71222\n40311 57190\n83291 84736\n18573 60077\n12193 27453\n77782 79597\n58674 81363\n14418 77677\n70357 78577\n29809 32235\n6914 16035\n3858 82239\n14401 15213\n62175 75643\n11056 30887\n11441 73868\n21491 61175\n29385 41792\n53763 53973\n52865 84442\n23301 78611\n21996 77501\n29763 31969\n39782 58495\n55803 72371\n1980 6620\n14747 45553\n16323 18226\n62850 65336\n1874 62974\n35755 68003\n11130 53148\n22595 34406\n10152 62197\n1363 49240\n3263 14847\n39516 54730\n46863 71887\n80759 85677\n37647 66909\n17583 37565\n55206 56406\n599 2292\n38686 61709\n20615 59988\n19988 45377\n4800 21769\n49730 69919\n3652 37061\n26635 71078\n1287 59685\n39694 75164\n20319 73581\n15812 80261\n34649 39131\n45970 65557\n47834 78969\n33974 77828\n9419 47444\n41695 69695\n11565 58994\n29781 75668\n27515 33685\n23125 71817\n682 62861\n29285 79377\n67034 81552\n71717 83190\n2722 10606\n44131 47938\n28386 44266\n39894 62522\n15619 18570\n1264 34953\n4711 30930\n51243 73553\n28894 69133\n2089 62830\n2437 56086\n37639 40958\n68629 78559\n41836 84901\n14394 46443\n6529 63219\n41990 48582\n15097 28638\n16858 83384\n40682 75799\n4211 16314\n26743 37082\n29531 67919\n21882 53642\n42171 51993\n797 18185\n16235 40051\n12342 33309\n14370 45081\n21439 68894\n79701 82937\n8604 52986\n47245 59182\n7240 43306\n67686 68849\n11992 35973\n34250 36539\n11731 55257\n19206 66650\n3881 74900\n34170 71716\n20698 36959\n17018 76297\n34919 56427\n7244 10037\n9591 65296\n16545 41438\n29696 72929\n30479 35282\n42404 54232\n4481 76215\n30646 74241\n16101 20763\n58950 62034\n16389 25701\n6216 42626\n35254 68615\n38986 75847\n55595 67135\n20688 36544\n19216 82617\n3062 13813\n3324 8679\n9376 62676\n5708 82977\n27765 56509\n54922 76481\n66362 80530\n20412 32743\n21218 39586\n6444 13777\n34310 69776\n18412 70619\n23949 38082\n37248 77905\n47950 50247\n27708 31302\n21939 62184\n12366 69003\n13630 54253\n18876 51823\n36084 63560\n52346 69284\n40910 52455\n39641 58662\n20949 50852\n5826 85277\n35397 64372\n2193 12893\n38662 84768\n1431 79680\n56531 74355\n58104 80693\n4046 65476\n29191 72797\n13928 69915\n28853 77261\n29553 68848\n35003 62883\n51264 83124\n9113 77986\n8455 65159\n1292 6905\n20903 43435\n21845 34459\n11871 83219\n21608 84744\n9594 83696\n58207 76788\n34505 78724\n21647 43064\n61007 76890\n15409 35882\n16601 55752\n35221 43439\n4823 9551\n59481 82394\n8411 25978\n11971 23470\n35622 62502\n41078 41561\n305 81800\n38070 81553\n36068 44649\n19364 35046\n54454 82374\n17632 72021\n51642 61034\n54333 69641\n2672 37471\n70640 72749\n6374 57523\n9389 18419\n63435 76532\n12813 82996\n6777 36941\n5177 85137\n8158 84419\n76020 78097\n36165 58817\n48782 79922\n46451 47905\n24788 77766\n34726 71139\n1904 54285\n49964 52019\n11553 48555\n31790 65161\n38771 67546\n62885 66023\n64613 84539\n51223 54213\n10771 55393\n52742 68679\n26051 85525\n17715 56247\n1935 32193\n40425 85597\n8558 65024\n63203 85997\n17986 83918\n35143 83017\n5206 72676\n50011 81147\n41398 45549\n5232 22745\n49571 57955\n39298 58588\n25137 61479\n16930 32757\n19655 36453\n4377 41757\n17825 64875\n43003 67055\n995 5992\n55464 61043\n1619 28502\n22612 65638\n50579 64629\n1123 20751\n47084 56795\n45973 65525\n41959 61106\n34729 72640\n7706 43071\n26507 80325\n30529 44622\n17303 32961\n3674 72214\n3372 29322\n72951 85295\n3439 49691\n6107 55404\n13749 25142\n21682 76891\n19844 58859\n3840 38278\n32788 35585\n9237 52133\n59160 64626\n56155 58748\n55173 85558\n22760 43292\n4224 5456\n2977 79340\n5680 63587\n33487 65485\n41757 44620\n17211 17880\n33077 41625\n56696 77155\n3477 17707\n5906 45733\n45143 57627\n27816 51893\n34584 42414\n53677 69707\n32426 45379\n56404 61292\n46321 51291\n14875 40462\n55628 72871\n14951 33744\n843 42683\n2840 29952\n22488 66382\n42286 42656\n51025 67215\n80584 83604\n24755 74932\n25025 39561\n36722 54885\n67013 83171\n4979 9447\n12739 42724\n4463 13467\n485 728\n35867 57944\n37994 83156\n59068 75603\n39401 71593\n64424 68416\n552 55451\n19851 58699\n9225 68027\n54642 56754\n9444 26389\n19017 59671\n16484 43550\n63434 71004\n14125 74776\n23492 46395\n18424 84173\n649 46516\n47851 57120\n53232 65556\n4185 79330\n37418 77088\n30788 48116\n53963 58530\n26640 74918\n27437 51031\n825 53478\n8733 65597\n1524 74945\n10350 19984\n20685 42386\n25392 63132\n770 44333\n15071 54851\n21858 67886\n63941 78098\n28681 35503\n61441 62683\n45992 64235\n23305 49718\n28440 60126\n3864 79511\n32019 85068\n60104 69829\n65294 82373\n6525 55577\n44022 69734\n13524 49802\n7350 65941\n18558 51651\n58237 60961\n73427 75979\n54843 56354\n59168 84157\n74346 77785\n11749 28319\n40235 75435\n27524 50902\n3275 44369\n39321 44550\n14553 82300\n61891 63342\n37488 46909\n9447 84966\n29135 58553\n19083 27814\n10502 13083\n7246 57510\n25694 43629\n33798 33914\n1753 44810\n19199 84194\n75287 83357\n61005 65408\n23121 45058\n20890 59416\n747 79763\n13774 46562\n52762 60730\n4562 37869\n43813 52710\n36758 56116\n75857 78328\n60595 79557\n20157 49178\n42030 83440\n37978 64149\n6209 17302\n32087 73085\n12012 70809\n64087 76015\n56494 60766\n16268 30581\n52200 82082\n8560 34804\n8722 32828\n22147 29123\n34839 53851\n2823 72199\n29238 81104\n8042 31742\n41510 55780\n22950 63575\n7469 48687\n34674 69752\n11134 46070\n47675 50083\n8287 75794\n33938 52256\n4131 31008\n70091 76659\n23395 77532\n54236 57580\n6665 6711\n29044 36741\n6931 85972\n33893 74623\n29426 81084\n32717 71266\n44972 80719\n40354 42301\n18207 66331\n2338 38224\n2946 61757\n11842 26992\n6528 63194\n79118 81447\n37755 42779\n20303 24956\n68161 77477\n4862 18455\n53323 54610\n2212 84948\n21431 24635\n13443 58716\n2906 52536\n60904 62560\n46000 46901\n4118 69248\n13997 26027\n28927 60203\n70660 85631\n51298 54187\n1599 25290\n11868 57439\n10893 59046\n27186 62516\n48535 79181\n22704 47807\n30563 50998\n17115 58894\n26891 39135\n25813 36918\n10719 66596\n56996 85144\n83511 84235\n18573 24405\n17657 70062\n30750 84047\n9430 61149\n52871 66728\n51737 64971\n32051 38465\n25924 55427\n44340 83028\n55477 67112\n34054 44097\n45544 77315\n25920 46424\n26025 73044\n43757 45805\n33689 63341\n56448 77286\n15301 24188\n36188 63358\n27133 34906\n3488 9954\n1840 11434\n27124 47164\n45434 75717\n31408 59413\n34385 49536\n46880 78166\n22373 82981\n44647 60827\n23639 51903\n41144 81332\n23389 56269\n34269 35198\n8414 66721\n46836 61204\n7647 63096\n59727 65077\n12967 59407\n6007 26315\n32474 81514\n46155 83423\n16151 20625\n7778 71016\n49766 62817\n7409 57983\n19582 21918\n5731 6671\n28752 71841\n31996 45044\n66163 80574\n20181 52178\n29888 55482\n44563 81285\n11409 14536\n25569 58803\n3032 58590\n17432 74169\n34048 40911\n36909 53673\n45787 72096\n62566 66848\n11465 29391\n54578 66383\n3350 8065\n22206 61227\n38878 66271\n72476 85161\n32840 57577\n43658 53730\n81819 85772\n19446 50574\n6496 35241\n20109 85955\n54156 77828\n32401 61590\n10782 13168\n22393 76586\n39734 66255\n54939 72484\n19505 22700\n29696 79029\n43746 64467\n29646 36585\n21538 71597\n48847 75679\n48974 79738\n135 17611\n26719 73689\n36966 40808\n12141 23609\n13982 65125\n39244 44561\n15648 25662\n35474 75848\n8645 52273\n42394 82377\n15721 32023\n41124 77939\n81860 85581\n51797 69807\n36461 85371\n33320 52295\n8021 33294\n11802 34048\n52752 58646\n51558 82888\n34949 60759\n32419 56871\n11782 52842\n60333 84130\n23763 25491\n50116 83439\n4892 21887\n72975 81079\n47325 64445\n29622 77282\n38190 57318\n19796 58646\n27318 38899\n31661 82948\n45851 74766\n2703 6786\n21892 46097\n13535 52598\n3487 30935\n22568 70050\n8035 74420\n79376 84276\n7457 52940\n46553 79065\n5177 54164\n63406 78707\n76605 80502\n18542 41152\n15099 23765\n46557 51619\n24964 78922\n8862 41028\n12775 39193\n10384 31467\n51002 54326\n18221 20202\n1350 62671\n54243 69588\n40675 70848\n8852 22989\n16743 31730\n7974 44806\n5576 72762\n9724 67049\n1883 68275\n16113 65830\n66140 78917\n12122 75867\n17768 19930\n58751 73491\n46913 85939\n23780 33135\n77222 84932\n42566 58546\n15829 38010\n34819 73314\n34418 53077\n15932 64587\n10369 53161\n487 7359\n49953 71695\n20615 71610\n15581 68869\n70759 77235\n14119 43768\n48415 68081\n27919 71202\n26805 82698\n32336 50567\n4310 50218\n54169 73504\n3784 60262\n33872 42680\n2315 10187\n32378 38498\n3612 69952\n515 34231\n5825 44660\n20111 43078\n5904 37194\n35421 56762\n56171 75333\n5712 17182\n26528 57077\n7064 39774\n39911 64283\n26386 47237\n49364 80203\n14812 42202\n20515 58362\n21617 65135\n51357 75205\n5647 49811\n42255 62892\n34796 50877\n56605 85015\n17042 34780\n19566 75678\n25849 64975\n18176 19913\n64721 82242\n19905 42670\n20300 72144\n6164 56072\n31853 77664\n21183 59020\n54354 57781\n71042 81691\n193 57523\n36071 68511\n9407 84830\n18633 79905\n50664 77046\n9438 62728\n39392 85287\n22489 82521\n2603 30973\n36579 53521\n79852 82580\n20523 56379\n58780 77961\n22665 41247\n24012 43803\n7678 33853\n14288 72566\n273 7203\n66411 76924\n54069 69647\n52197 55890\n3089 43471\n19128 19531\n50055 58153\n13373 80973\n7973 68418\n27543 77455\n48648 83517\n45994 69704\n37374 77532\n59557 67976\n35154 62752\n25115 47264\n44603 66756\n34469 38815\n23238 75911\n51092 85336\n75559 85280\n13162 63139\n31661 67224\n17689 32061\n20926 40308\n32724 34373\n24048 35726\n20315 66407\n762 16403\n57410 84843\n22440 74324\n46477 85606\n46991 65840\n5499 21110\n16477 38112\n35687 84007\n2921 83871\n7828 9405\n18019 62803\n16878 43947\n5160 60860\n22081 25614\n29231 49612\n9670 43910\n20827 29440\n12541 85014\n22926 82728\n42646 57892\n28973 36011\n53333 58423\n46960 64068\n63364 67478\n58669 62048\n53770 73151\n78210 82327\n58985 71484\n4164 15467\n7958 37778\n59438 81848\n53931 65821\n44073 54104\n19863 41920\n23781 48661\n18659 27145\n18302 24636\n6883 74476\n51898 61913\n45419 75527\n6046 60918\n16046 26383\n579 62314\n34350 45719\n15729 17031\n74187 75869\n46375 51196\n30276 45604\n755 85519\n65881 76827\n4622 15822\n29362 41280\n18915 72758\n17452 63651\n31930 44594\n49145 56630\n2636 84136\n63674 72401\n78855 84755\n637 62117\n38287 42859\n51005 59871\n1476 61654\n16539 72839\n23452 33127\n7362 37484\n51366 58377\n1891 17656\n10656 67095\n46794 74552\n39575 40664\n34579 79286\n48739 74331\n6600 66842\n22671 85039\n18564 38929\n68963 85277\n19460 81816\n11911 80959\n16319 65820\n14847 20878\n9383 64167\n52492 58575\n16749 52388\n19965 68235\n6857 50993\n10761 53821\n6341 43107\n31518 41496\n131 14825\n75821 83970\n62055 85058\n29091 71642\n5777 57098\n64126 73546\n6746 69056\n30065 45640\n21508 64757\n27582 77554\n53245 73806\n18349 42744\n12179 27033\n14768 33737\n18212 77246\n20473 65486\n14623 46068\n22491 76883\n28994 37688\n41533 57844\n21109 42473\n10012 62490\n1557 61068\n18772 32292\n48542 52039\n67121 73429\n26254 80551\n64598 80641\n21837 79533\n57403 69865\n2789 27887\n31407 78939\n16968 73160\n17315 82928\n26518 81395\n21479 43667\n44123 69511\n10915 22346\n4736 38879\n53285 65909\n26251 65121\n42917 65355\n38572 66975\n41015 48213\n21593 85803\n2596 69784\n8735 59224\n2187 10161\n51438 67409\n16375 61683\n48556 49541\n33899 39998\n61570 64366\n24949 72264\n73761 84969\n29896 83735\n14617 43680\n29761 49449\n55649 68640\n16277 27814\n2538 67137\n3106 70595\n65454 76626\n18702 45850\n20706 41042\n6199 41817\n2814 64497\n39248 61056\n43277 65421\n44661 74586\n59868 77123\n12776 15443\n3901 54740\n3150 8339\n21188 84058\n26645 31204\n44070 49004\n14307 77786\n43108 84581\n4604 14122\n9273 65350\n12866 77058\n21158 39348\n9689 34491\n20698 71055\n4071 37688\n15867 58515\n14682 83858\n1381 45118\n27697 49035\n43564 59613\n26001 76225\n1228 53069\n59020 62176\n48377 73342\n13238 67769\n3941 12120\n16321 85463\n51960 73350\n17019 20835\n12023 79447\n62679 77615\n24336 54396\n46836 56750\n58255 62735\n2943 6008\n48493 83985\n25903 69455\n13867 85822\n28844 36554\n4374 82386\n26569 55697\n29099 47302\n42589 53847\n14513 60165\n1014 32243\n48895 73156\n14986 70130\n21080 39930\n31019 48759\n43296 65898\n40844 42131\n12197 25797\n47226 70666\n12843 13088\n33355 36159\n15294 84213\n11844 41058\n13929 61918\n57605 85675\n8811 24811\n46968 57777\n24432 62423\n55888 74542\n13589 17175\n5060 15848\n33242 38896\n18147 80472\n16121 53783\n39684 67139\n20464 58177\n40527 84892\n68992 84995\n20138 22706\n66917 78298\n933 83917\n34332 77643\n11191 69442\n",
        "output": "233\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 89,
        "task_id": 541,
        "test_case_id": 22,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "12196 74450\n4341 9532\n4232 4741\n9517 10976\n4139 5871\n2948 2949\n7593 11071\n6203 8061\n3004 6690\n60 1834\n7027 11981\n272 8192\n6826 8689\n4374 9368\n3620 6042\n531 11723\n3733 6874\n954 1334\n145 707\n5026 10008\n4864 7650\n1938 4120\n571 9863\n3391 8122\n273 7715\n10149 10896\n513 8698\n2230 4263\n662 11060\n7153 8123\n2751 4418\n4072 7390\n3167 6876\n6572 9953\n1635 4452\n451 2617\n4033 5522\n330 5922\n5676 9641\n3721 6347\n8096 11677\n542 8872\n1849 5765\n10274 10984\n7890 8351\n9737 10467\n3803 8603\n697 11382\n2808 10784\n4978 6611\n10117 10247\n1458 8382\n1136 10154\n2373 6211\n2418 3252\n4094 9428\n44 468\n9032 10488\n5711 9747\n5228 8091\n4957 9926\n7208 7642\n6208 7619\n1541 3473\n3040 3204\n652 8276\n7341 11524\n1660 10107\n1768 1959\n3200 10583\n432 9103\n5379 7067\n4052 4811\n3732 4423\n3992 5637\n674 7461\n1994 10141\n758 2982\n9797 11096\n1042 2087\n2077 2899\n5421 7688\n2823 12081\n11338 11865\n9873 11412\n3717 9613\n5565 10249\n1018 6670\n1165 9251\n3124 10997\n136 1593\n2663 9052\n6965 10215\n6203 9687\n1493 9892\n2010 12184\n7799 8941\n8705 11942\n3969 8192\n4040 5187\n6051 9771\n4660 7210\n4984 6658\n6756 9468\n2819 5440\n545 11073\n4505 9495\n1739 10327\n5090 6844\n8193 8876\n489 6457\n3712 7013\n6363 6610\n3778 11626\n2043 2195\n9396 10579\n1405 4915\n3770 6194\n6466 6682\n5235 11186\n6870 10023\n362 9071\n6936 11200\n437 3160\n6787 11940\n9235 11313\n370 5284\n5317 10419\n7292 9085\n478 9002\n6292 10470\n6518 8441\n1999 3208\n1471 4510\n6097 11967\n9167 10898\n8006 11321\n5347 5873\n4536 8721\n4780 6021\n7415 9532\n8228 11185\n8944 11585\n6603 9607\n2283 2750\n6073 6962\n5048 6801\n3989 7846\n3670 5861\n1339 8208\n1876 9318\n347 8695\n7557 8171\n420 12162\n1928 3507\n1707 2760\n3967 5669\n4843 10984\n2987 7342\n4733 10381\n2652 6339\n1919 11621\n3687 9048\n107 7930\n1660 2894\n3777 9367\n1411 6202\n2828 3995\n8492 11562\n5994 10032\n2152 7714\n2054 6217\n6529 11345\n1351 5087\n1567 3208\n3391 8190\n3381 4788\n8438 10344\n2101 10730\n7108 7298\n1201 4092\n3170 3401\n1133 9119\n3642 5238\n3360 9530\n1770 9036\n2797 10764\n5619 10997\n677 8994\n1367 12119\n11929 12037\n9124 10440\n10145 11946\n10401 11574\n7395 11638\n6067 6624\n5834 11323\n281 2685\n6360 8802\n6464 7853\n8843 12094\n8474 9014\n1353 11675\n5833 6113\n3628 9200\n7870 10896\n3029 5206\n2561 4726\n4617 10593\n10896 11198\n5274 10292\n3126 8389\n1663 9344\n5895 6131\n925 3033\n3609 5515\n2428 5162\n8104 10051\n4364 5630\n6761 9259\n9053 11166\n1375 4831\n1931 2031\n6321 10257\n959 11937\n1456 12025\n9789 11777\n390 2327\n4081 8819\n2772 3731\n3293 11185\n94 6721\n6926 11967\n5061 5986\n3634 6822\n3992 9130\n2214 2526\n8451 9088\n812 10885\n9703 12026\n6442 8000\n4329 10787\n2866 3278\n3865 7102\n3979 9910\n262 11969\n9297 9826\n228 11732\n1072 10576\n1957 2083\n4593 11456\n1617 11102\n1975 7713\n357 4486\n8749 9940\n2695 8573\n487 801\n4684 7327\n5001 5970\n2603 10867\n11203 11692\n4356 9541\n3141 7125\n4774 8364\n36 6666\n2812 9641\n3531 8013\n1423 5079\n859 9543\n7245 8213\n5731 11563\n3725 4597\n2202 8304\n1666 9999\n4108 9072\n7067 11332\n627 12051\n5284 5387\n1574 4433\n2487 6059\n8724 10124\n6020 9831\n1894 6594\n2973 10880\n3632 11007\n8535 10886\n7982 8761\n1161 1741\n3135 11222\n9421 10565\n623 11920\n578 5465\n4518 9245\n2945 3994\n4363 7511\n4615 8214\n10330 11742\n208 2247\n1445 2110\n2509 11279\n1847 5963\n6558 11516\n6520 11979\n7930 10088\n1274 7201\n935 5886\n77 3273\n2632 10729\n8291 9490\n7658 9649\n3681 4093\n9693 10935\n6917 9909\n646 10018\n501 3805\n3707 7566\n1098 6206\n2012 11902\n1749 5921\n9275 10224\n8265 10678\n3562 8192\n6558 10833\n5139 5348\n5087 5396\n2677 9315\n4388 11279\n3787 4460\n5586 6027\n3857 5811\n5987 9522\n1155 11226\n8893 11744\n6704 7650\n5798 8672\n3073 5893\n7145 7998\n7102 11392\n4743 5594\n7393 10566\n1861 3658\n118 8547\n5620 8235\n7646 11639\n183 2421\n5074 5595\n4020 7918\n6765 12130\n6650 8798\n7613 10449\n7855 12116\n426 7624\n5491 7912\n1537 2709\n6519 9183\n361 5184\n1265 9982\n17 3041\n9599 10299\n3079 4390\n7975 11439\n748 9563\n5049 8109\n1578 3618\n326 11921\n6544 10013\n178 613\n6254 8022\n6912 7876\n10630 12026\n601 5960\n7723 9841\n3708 12136\n3052 6229\n6415 10734\n2891 9511\n3996 9216\n4900 6073\n7503 9247\n5640 7465\n1160 9280\n8722 10294\n545 8791\n8008 8549\n8506 9335\n1772 5733\n5350 7967\n3834 10275\n3016 4774\n3667 4663\n385 1816\n1455 7020\n1196 6985\n6150 9078\n1837 6175\n11373 11971\n1020 7267\n38 3698\n2025 8972\n8064 9076\n6710 9460\n1193 9883\n3328 4993\n5924 11733\n745 2198\n6519 11144\n5005 6523\n2891 9560\n4274 8013\n4651 8087\n1027 8055\n6347 7825\n7517 9251\n3451 10771\n8286 8874\n948 6005\n5090 8617\n7114 10261\n4444 8894\n943 8057\n700 8792\n1778 5352\n7554 8837\n3624 7802\n5001 10382\n4362 7219\n3698 5650\n1518 10279\n2822 3745\n204 10071\n8225 8692\n103 9106\n11364 11870\n1999 3017\n779 4053\n4129 5881\n5738 10651\n2668 7509\n2447 11023\n913 10284\n51 4813\n28 5678\n5520 6604\n2494 3062\n4129 7560\n2383 9769\n2191 5039\n204 11523\n2869 6361\n1061 4443\n298 5678\n3233 6981\n2932 12151\n1589 11604\n5148 11181\n3058 9103\n7670 9983\n6189 11922\n1568 9177\n744 2620\n6027 9819\n2486 9941\n1535 5311\n2084 12127\n5444 9255\n2620 4598\n1555 5224\n8420 11724\n2219 8263\n5666 6579\n3736 5543\n1850 4333\n6525 7302\n294 2726\n4981 10981\n1774 4685\n3715 9984\n7529 9805\n4955 10651\n7716 11571\n2790 10332\n1362 2135\n2814 6620\n10269 10885\n10224 12036\n7765 8911\n6527 9000\n1358 2255\n2195 10073\n141 1258\n3488 6518\n245 8560\n3064 4810\n530 3426\n2264 5770\n10399 10748\n3225 4912\n5306 5706\n3720 11624\n6978 8907\n531 4509\n9351 10450\n9867 11224\n6862 8646\n3073 9217\n1101 10607\n5334 5457\n3109 4498\n5698 6175\n1841 6655\n8833 10805\n2148 9626\n2069 8499\n1643 5631\n5278 8864\n3204 5343\n360 8609\n3012 6049\n2944 10835\n5920 10885\n215 4205\n680 10822\n5579 9051\n3700 7031\n9440 10452\n1523 8090\n6190 7095\n4431 7459\n5242 5387\n326 3593\n445 558\n6738 11253\n1564 2893\n1848 7730\n2833 9792\n1328 11341\n1378 4083\n4880 8624\n7295 10601\n2071 11403\n7248 8591\n5031 6012\n557 11054\n4386 9813\n10031 11093\n1146 3121\n7247 8191\n2280 2816\n1669 4352\n5836 7608\n7330 10783\n3879 11393\n2332 2901\n9227 10855\n7360 11646\n1557 4632\n313 9844\n2040 3678\n381 4449\n1958 11076\n8195 10238\n9482 11861\n4713 10762\n9393 10529\n6704 8382\n4810 11415\n8678 11322\n3972 12073\n1066 3552\n423 4359\n3870 4856\n7949 10234\n737 8715\n6230 8489\n3754 6631\n9044 9557\n3298 4021\n4658 8182\n4798 6733\n1495 1791\n2233 9624\n1363 2860\n760 9002\n4642 9147\n5759 7546\n653 2666\n4227 11876\n1944 8624\n5775 7520\n2224 6030\n8032 10711\n1504 5717\n3447 8265\n3679 9803\n114 6900\n2451 5067\n5046 8049\n130 871\n6395 8521\n495 12061\n6367 9038\n2680 3072\n2431 9107\n2669 10790\n5887 10318\n6516 9718\n5425 10322\n5350 10802\n5308 12023\n4889 6462\n10502 11295\n3178 8394\n5221 5667\n3765 11165\n99 2060\n2709 3264\n3397 9469\n1730 5492\n3806 9790\n2945 4174\n2344 7658\n1917 9976\n2954 5552\n6185 7842\n4220 12171\n1462 7113\n3398 7959\n7217 10775\n521 3163\n4578 10014\n2356 2732\n4420 9795\n1556 7151\n4553 7603\n2831 10352\n4146 4671\n1725 4346\n4020 5944\n3851 7824\n3855 8112\n4788 6014\n6843 11639\n5925 11276\n6028 11913\n3244 4993\n2944 4483\n6257 9548\n3894 11853\n4097 5760\n4838 6296\n4125 12071\n1451 11237\n7011 7330\n281 2570\n3516 9632\n1486 11101\n6295 6713\n1346 7516\n5118 10138\n3141 10963\n2372 5399\n6438 9160\n5428 7431\n1424 9246\n4775 8297\n263 9463\n3426 7697\n8125 10557\n2297 7657\n6191 7568\n2192 11117\n7807 11406\n9001 11829\n5001 8785\n5281 8129\n2340 5330\n2236 10860\n1098 6599\n4378 8370\n5669 9896\n8555 10035\n1202 1727\n10001 11673\n7731 10943\n3895 10551\n5079 6830\n9766 10603\n164 10044\n1337 5911\n942 8514\n106 4681\n5097 10462\n7456 9502\n4300 11356\n1476 7393\n7761 9926\n2901 3162\n5028 6478\n1619 4668\n3476 4070\n212 5140\n10928 11843\n9363 9939\n1485 11629\n5365 9358\n667 9976\n2718 5170\n656 11985\n7298 9849\n9052 11202\n7696 7807\n96 3536\n2687 4105\n4222 4467\n2627 3497\n8304 8836\n1912 8544\n2905 11978\n912 9974\n2799 10940\n4303 11514\n732 1831\n9279 10746\n943 10454\n6556 10287\n1776 8642\n10746 11480\n4135 5474\n2133 6145\n8 7977\n3912 4634\n5848 9176\n1518 10576\n5125 7467\n7058 7417\n5566 12101\n9023 10717\n2051 5316\n3743 10917\n8092 9302\n3378 10937\n5169 7154\n8425 9105\n1854 11634\n10871 11800\n1549 4521\n3067 3733\n7548 9369\n4537 5107\n10 122\n412 930\n6468 10812\n9508 11646\n1504 10358\n12005 12098\n172 990\n812 4524\n4779 10559\n3475 12146\n5136 6767\n7754 9026\n3857 4327\n5512 9470\n6665 11882\n6927 10993\n5193 12064\n1652 2617\n1427 5049\n5702 6739\n583 1376\n3217 10677\n8954 11784\n39 5063\n2199 4416\n3722 5707\n3642 4909\n8228 10808\n4523 8218\n1552 10580\n161 1906\n9846 10332\n1922 11111\n1190 1263\n8119 11061\n4665 5276\n2211 3588\n3601 5034\n2172 8159\n2461 9627\n2443 3861\n11863 12007\n7246 7616\n6168 10022\n5699 8746\n5744 7138\n1935 4839\n2575 5562\n442 3460\n962 4954\n3663 7231\n8103 11656\n3985 9161\n4523 8354\n4514 7518\n2665 10353\n6701 11869\n6956 9550\n1511 2136\n4868 11233\n76 847\n968 6488\n6363 10733\n3069 9724\n6257 12106\n3337 10715\n8499 9157\n1539 9741\n9425 10453\n4344 10618\n88 7071\n1807 7848\n1367 5693\n1186 2556\n7799 12073\n1995 7389\n4888 10052\n135 7122\n10223 11211\n5035 10499\n4081 10728\n9040 9878\n2206 9171\n6527 8083\n2438 9273\n4297 5925\n510 6628\n1141 10078\n3832 5538\n93 4591\n10076 10325\n6794 11663\n7288 7949\n2368 5446\n8623 9701\n2961 12005\n2076 3646\n9559 12106\n5035 10256\n1865 9438\n4333 11450\n910 12056\n1998 4605\n5387 6055\n5754 8294\n980 2019\n7432 11270\n2765 8152\n737 11742\n1421 8304\n3777 4390\n985 11433\n1716 10410\n2476 10650\n1200 9917\n2889 5287\n3525 10977\n1238 9672\n9220 10007\n4128 5810\n2498 2778\n1665 11132\n1529 1659\n6567 6978\n632 2584\n6641 11988\n69 1090\n3818 9158\n6220 8870\n7142 10074\n2076 6957\n6704 8616\n3778 8811\n5208 8043\n7975 12023\n5084 8561\n2583 7171\n122 7995\n3054 8722\n5141 7281\n4998 7324\n4107 4153\n1270 11945\n10788 11114\n1081 9347\n3635 4276\n344 1287\n3112 11492\n1299 10211\n2473 12147\n5733 7922\n2024 11614\n4194 7868\n6152 11698\n1696 6904\n2365 11239\n1435 7926\n2738 10052\n2791 6666\n3727 7580\n9695 10389\n7801 9416\n4078 10680\n4757 5494\n5572 9855\n8254 11404\n8103 10645\n8083 9044\n1370 2188\n7841 12058\n6907 7608\n6234 6637\n80 2761\n3021 3595\n998 6684\n2874 11796\n3031 8570\n2790 5829\n7233 8577\n1892 5468\n6756 7829\n9418 10895\n437 3343\n1158 6672\n5117 7796\n3546 5526\n9858 11445\n10404 11962\n2851 6034\n5257 8526\n879 4300\n351 6989\n5794 9441\n6369 9036\n7061 11748\n8756 9426\n1828 10909\n4188 7778\n6358 7537\n8625 9786\n5824 11580\n7293 11837\n293 580\n8598 12188\n9780 11699\n8636 9073\n505 8347\n5161 5684\n1084 5079\n692 8886\n4975 6127\n386 3842\n857 8638\n7175 9319\n812 7865\n3833 6565\n4689 7435\n3672 5589\n10652 10728\n4215 5994\n2895 8828\n688 8418\n9488 9508\n2725 9587\n5908 9762\n4494 10570\n3986 11355\n4802 10005\n2642 8570\n3681 4896\n508 11429\n8013 11060\n9221 10024\n9080 10901\n5356 7237\n1633 8493\n1660 7048\n5586 12061\n2112 2908\n793 4776\n4518 7846\n7456 11022\n135 2890\n1722 9369\n2351 7685\n2176 6963\n2567 10418\n2527 3855\n286 3171\n1734 2843\n3021 7385\n2904 8956\n2327 4714\n5664 6643\n1189 4011\n4910 6611\n4397 10108\n5656 5698\n6473 7953\n2649 6354\n587 7840\n3805 5811\n5998 8876\n867 8396\n5228 6670\n227 5496\n2037 2862\n7321 11646\n11235 11341\n304 11440\n5920 6607\n9496 11762\n1132 6142\n2811 5343\n7221 10055\n2724 9718\n6478 9384\n517 7458\n1743 7541\n759 8086\n5663 5720\n6784 8922\n2134 11438\n9136 9490\n606 2498\n1724 4689\n7383 11348\n3932 12184\n3836 12104\n5784 6589\n3543 7485\n1286 10270\n1447 4407\n4477 10292\n2209 7827\n140 3087\n448 12103\n7182 8900\n9107 10226\n7841 12153\n3455 9104\n8847 11484\n3062 3904\n8051 9426\n7689 8930\n3516 4166\n868 11965\n3425 8362\n2720 6241\n6974 7222\n479 3520\n4713 10880\n4004 6552\n1618 2620\n3047 4602\n958 3439\n6935 11633\n3678 10697\n6961 11116\n7589 11395\n2122 5996\n583 3341\n2201 7349\n1484 6247\n5100 7303\n342 6733\n1290 7832\n4569 6743\n5663 8816\n340 4370\n2855 9903\n7337 8058\n8887 11924\n1864 1973\n635 3254\n4874 11760\n7035 9123\n3506 6551\n1782 4229\n8063 8972\n4563 4605\n1929 9308\n8636 11313\n3728 8333\n8203 9955\n1543 7773\n6972 11459\n5084 10427\n8797 9788\n8561 10500\n173 6807\n7181 11739\n5904 11579\n8854 10106\n4773 9267\n1657 6688\n5150 10421\n5695 11936\n2234 10915\n3759 10318\n1477 10749\n4065 8912\n6771 6946\n8463 9860\n8958 9956\n1927 4062\n36 1702\n7450 10492\n2324 9873\n1236 4117\n2234 9139\n257 11890\n3072 4260\n1906 7787\n585 5104\n10032 11139\n2148 4236\n5551 11016\n1956 10835\n4944 10734\n7407 9017\n6126 9678\n4858 5408\n1032 9756\n2609 11950\n5523 9057\n6906 10301\n5153 7767\n1122 11786\n6799 11091\n2063 2981\n10424 11516\n2449 10750\n6859 6885\n5649 7640\n3629 6628\n7126 10488\n3939 10622\n833 1325\n9243 11095\n4512 11643\n5691 7446\n1881 6597\n6626 7597\n4031 7478\n4133 7913\n6285 8754\n4511 7940\n2835 8751\n3372 5529\n4178 10990\n2483 6338\n1625 5448\n4890 9888\n5942 7694\n8851 10580\n10875 10963\n197 8661\n1348 8704\n2604 12194\n1782 6280\n7748 11344\n1349 7393\n6526 10794\n8086 9532\n3686 9059\n2715 4221\n3351 9383\n8813 8906\n1182 8645\n3005 6924\n2983 5473\n4032 10158\n5038 11142\n8400 11162\n6986 7781\n894 6015\n2863 4621\n3340 6336\n672 8711\n673 6849\n4947 11074\n3012 3247\n3358 8234\n7005 7942\n5759 7038\n10564 11778\n1810 11107\n7830 10223\n605 8597\n9273 9407\n4953 8259\n9255 11052\n7940 11339\n1410 9813\n6502 11862\n99 4756\n3748 7796\n2905 3469\n6621 9594\n1181 4867\n322 6086\n892 4298\n7893 10204\n9280 11888\n465 1300\n1971 11194\n5530 10621\n3298 6906\n6715 9405\n1972 11222\n1051 4065\n761 7569\n1808 9187\n652 10141\n3631 9143\n5022 8077\n8791 9693\n9701 11034\n1636 2301\n1124 4265\n5253 6381\n1632 8349\n4865 7282\n1779 1817\n2316 6516\n70 10389\n5773 10871\n3893 11612\n8542 11098\n6748 11179\n6045 7735\n2217 9642\n9401 9682\n5856 6754\n410 3090\n2476 8133\n3167 9376\n788 4256\n1072 4806\n2124 4123\n1829 6144\n6460 9371\n2931 7616\n558 5561\n2140 2473\n5202 10327\n3247 9879\n326 2871\n4406 4999\n4359 7072\n1263 1271\n3724 4811\n7735 9836\n4754 10152\n3047 8999\n6936 9904\n4586 5829\n10382 11439\n7032 9132\n8657 11329\n3017 8479\n671 11971\n2577 3343\n3175 7322\n2955 4519\n2654 2801\n1489 11924\n5564 8358\n2510 10151\n3928 12191\n7515 9211\n261 11419\n10563 12142\n7745 9623\n94 1928\n1071 7172\n5273 5927\n6344 9268\n7566 10220\n6995 11741\n1513 6031\n5359 11351\n2741 7259\n3669 3689\n401 3743\n6251 9038\n5252 9666\n987 1749\n774 8342\n7877 8538\n2290 7030\n1301 5668\n3970 8709\n707 8265\n3197 8566\n4463 6873\n1870 4855\n39 312\n3985 8778\n4478 5973\n721 4851\n3274 7267\n1384 2908\n939 5757\n4821 10431\n6847 8994\n5216 5744\n7655 8344\n1572 12087\n1312 7859\n432 10780\n3055 6814\n1531 9358\n4673 5960\n2055 12172\n2655 5906\n6849 9050\n4733 11070\n68 2623\n9954 10174\n800 4479\n5603 11320\n1307 11757\n8273 10660\n4566 6409\n6584 10009\n3367 4195\n5801 8791\n3026 8828\n1820 7998\n890 9002\n323 11517\n4197 5792\n3457 11452\n7986 8444\n4417 6118\n1799 7072\n3731 3857\n720 4374\n6097 6578\n5738 10819\n10312 11867\n3713 5433\n7796 8447\n4616 6176\n7192 9074\n7648 10132\n40 1370\n3395 10157\n9936 10827\n8094 11803\n3592 11380\n858 3526\n534 2099\n1095 10374\n6256 6692\n1253 11412\n5236 10488\n8114 8949\n3052 5408\n5161 10654\n1726 6487\n153 4803\n1588 8891\n10303 11279\n9591 10561\n264 1284\n650 6488\n6392 6837\n1866 6535\n2596 6577\n1110 2808\n80 9278\n1873 7191\n178 6763\n2721 9942\n3810 6559\n8585 11733\n1398 4862\n8161 11354\n3379 6043\n5280 5997\n1416 9482\n4269 6554\n883 2064\n6958 10877\n8983 10789\n8273 10799\n1328 2365\n8872 9063\n9125 11937\n5744 10557\n1019 9205\n11040 11078\n6990 10839\n4177 11741\n5452 7559\n7396 10007\n8457 10167\n3663 9745\n8181 11398\n7952 8132\n10833 11164\n2194 8030\n7219 8856\n4853 5189\n1205 1215\n5500 9896\n1534 1684\n7954 9996\n1759 6997\n2602 10745\n354 398\n679 4822\n503 969\n1402 6808\n6256 7666\n7427 8192\n1285 8541\n304 8366\n1347 4723\n3437 11848\n6326 11817\n5957 6100\n9452 10257\n8152 12044\n4946 11172\n5563 6605\n6781 10998\n1710 5977\n4704 7715\n2644 5844\n7816 10702\n6668 10091\n8638 10089\n4119 4941\n9780 11560\n3973 11216\n8124 9095\n3108 4822\n2676 5027\n4778 9509\n6546 11570\n2333 6517\n1011 6988\n2528 2951\n1412 11150\n5582 7495\n1685 7195\n6362 7883\n1552 10802\n458 10178\n1838 9187\n4611 10468\n3487 10362\n4131 10692\n1975 6477\n5531 11412\n1600 6937\n1379 7063\n11699 11989\n1263 9278\n6716 8769\n1771 2954\n8722 9842\n4992 9055\n1995 3238\n555 10166\n2453 11447\n6256 10473\n708 7030\n11709 11710\n2940 10933\n5137 10721\n2801 8563\n504 4762\n5804 12157\n181 9151\n7102 9034\n3879 4059\n7511 10072\n3825 10053\n812 5727\n4885 6562\n7155 10315\n6060 7071\n9464 9810\n5365 11198\n1403 1547\n3696 4751\n2532 7899\n1787 6540\n8596 12044\n303 2547\n799 8395\n4343 5120\n4026 8977\n4414 6736\n975 9664\n4798 8579\n304 6014\n179 883\n3923 7664\n9376 10236\n2750 5192\n207 2034\n5997 7633\n3071 7867\n6695 10958\n4835 7082\n847 11355\n6139 8161\n8556 11520\n2484 9609\n1769 5756\n1663 2761\n368 2044\n7735 11685\n5330 8423\n157 1837\n5382 8827\n4472 8779\n8902 11875\n4960 6120\n2128 8356\n4974 5474\n2552 2658\n7097 7538\n5837 9150\n4633 10081\n3762 6326\n3384 6394\n80 3906\n6899 9632\n4094 9241\n1915 9007\n4159 5418\n8473 8503\n3959 6674\n1755 6617\n7643 11888\n1788 6888\n5959 8923\n853 7425\n4841 10205\n468 6048\n1125 3367\n6814 9861\n133 2210\n8636 11556\n968 11993\n1988 8618\n5951 12142\n8846 12143\n5326 9900\n1760 2107\n5486 8936\n3381 7060\n5894 10976\n4417 10031\n1999 7996\n5683 6766\n4517 10867\n3040 4383\n1061 7856\n1445 1727\n1216 11394\n3339 7740\n7577 9568\n8363 10333\n315 11645\n1444 10496\n7974 11470\n4928 9253\n2340 5768\n1666 6260\n6835 10568\n2707 8326\n492 8697\n8766 9197\n8451 8464\n5502 11208\n7617 11001\n7160 9812\n8583 12000\n1777 9165\n7880 11027\n4322 5893\n4333 5902\n4365 4544\n3442 9082\n4750 8669\n6683 9152\n5556 11613\n6054 7097\n2112 11570\n3483 8539\n4573 11257\n3193 9950\n3644 5094\n94 10449\n11562 11659\n2369 7459\n9348 12054\n3969 6172\n1525 6842\n4197 9591\n2127 10895\n7098 11542\n84 11173\n1967 5478\n6452 8734\n5907 11425\n10905 11011\n4859 7800\n3354 10521\n5477 8473\n6440 6781\n429 922\n4744 11876\n37 6261\n408 2328\n769 7678\n10554 11850\n7537 7612\n5861 8420\n2548 5356\n183 6845\n5491 5968\n4530 4881\n418 3786\n1130 7242\n3872 10778\n2865 10765\n2942 7410\n10303 10364\n7098 12186\n2023 10084\n2875 7972\n3216 10398\n279 1520\n891 6074\n2862 8222\n3979 4118\n10119 10987\n6822 10014\n6075 6237\n1203 7093\n5698 10291\n5605 11287\n4310 8517\n119 8083\n4232 10347\n1122 9542\n1192 4974\n1594 11177\n10426 11981\n9586 9821\n7915 11623\n975 10029\n6337 6547\n6131 7414\n9711 11172\n5191 11456\n4259 9639\n6219 8194\n1881 11625\n1584 5448\n1095 8107\n2552 10026\n8445 9155\n2948 5599\n2648 5292\n2680 9049\n5466 10981\n2827 6524\n1147 10150\n2828 8540\n6346 8347\n3021 8975\n5848 6781\n1908 7328\n9128 9946\n4541 4639\n6316 7237\n1833 10302\n2473 7864\n1606 7637\n2967 4488\n7075 8064\n1328 2109\n3923 5564\n6641 7786\n7100 9803\n6980 9212\n4951 9553\n528 11080\n5962 10220\n3889 7470\n4391 7578\n5911 10357\n10476 11158\n642 11424\n1020 9128\n668 1773\n4011 8281\n4578 6394\n10072 11129\n1089 3037\n6181 7093\n4252 4650\n11720 11988\n5597 10751\n3482 4373\n9242 9440\n3613 7771\n2285 5942\n3807 9698\n4855 12024\n3162 6721\n5728 9363\n1414 8037\n4012 6754\n1258 5038\n3327 7793\n1926 12161\n2187 7772\n1184 2244\n4229 5100\n1478 5909\n1920 9461\n361 9629\n8 1124\n4345 7187\n1823 4414\n5672 10443\n6338 11869\n6480 6517\n1295 4546\n8534 9510\n3875 9745\n1366 7594\n4533 5652\n7845 10943\n8491 10226\n6278 10439\n2355 10273\n2538 3462\n2654 6962\n1459 10132\n2913 9179\n4768 9265\n4271 9011\n595 605\n2282 7948\n1242 5102\n8378 9157\n3272 3629\n8000 12092\n7435 7886\n2607 11795\n3031 11173\n7136 10576\n839 2869\n2018 6809\n5558 9855\n295 1972\n4260 7918\n2651 4105\n536 1475\n1289 7470\n7029 9784\n3069 10652\n3765 11636\n611 12033\n2140 3197\n223 4951\n2568 5923\n9486 10858\n2932 5220\n2251 5762\n6262 10551\n501 9374\n7825 11766\n3617 5056\n5884 9312\n6349 8956\n10283 11992\n2408 3286\n2702 10137\n4932 9418\n7188 12149\n3367 6866\n440 4939\n1730 5855\n5224 11043\n4685 10143\n8061 11695\n2736 10302\n7900 11344\n1468 4373\n3304 8374\n3508 4405\n8274 11044\n3210 5176\n3675 8133\n2231 2649\n3938 6312\n7877 7976\n70 10104\n28 8383\n2890 6178\n5707 6141\n7115 10251\n4289 7274\n3677 9943\n3298 8494\n1607 7584\n10839 12174\n4478 6687\n7429 8110\n1990 3275\n2560 6304\n11101 11553\n1577 5418\n472 1833\n375 5660\n8274 11015\n3230 6627\n2971 10457\n8283 10277\n8001 9626\n7883 10453\n3906 11586\n205 9435\n2920 10040\n1243 7104\n3291 5650\n598 6818\n1230 9213\n1439 8283\n137 11204\n84 11457\n712 6148\n9947 10749\n2496 6581\n2208 4550\n4556 5648\n2020 11543\n2959 6502\n1619 9433\n720 12135\n3544 7032\n3507 6939\n1647 8930\n4377 4925\n1355 6889\n11025 11583\n9113 10597\n11287 11644\n863 9388\n5350 10430\n1490 9632\n6811 7600\n2981 6103\n741 7908\n309 1958\n851 10820\n1005 6148\n5540 6026\n1211 7274\n384 7320\n906 8222\n384 1977\n7237 11914\n1751 8540\n9875 11769\n7110 7690\n633 3269\n5442 5818\n3215 6345\n1926 10225\n6638 11707\n3300 3355\n3833 11959\n1772 4850\n4115 9325\n1954 9477\n2081 10863\n4258 11383\n300 4447\n3812 7406\n8764 9746\n4212 7677\n6028 10348\n316 1731\n989 2372\n6457 8137\n5675 6444\n2865 8698\n1655 8538\n1873 12116\n2060 11654\n1608 11048\n3615 11257\n4189 10916\n708 11353\n2773 11926\n3545 7481\n1312 8779\n9235 11125\n1143 4337\n7049 9283\n2480 2580\n925 9319\n9190 10067\n9727 10438\n9222 10211\n8939 9081\n88 3565\n1799 4212\n10305 11023\n11946 11989\n3930 10371\n1364 10853\n758 12045\n2676 4299\n3944 8313\n643 8473\n9479 9553\n3507 11191\n2589 11128\n650 9314\n1216 2528\n4706 5478\n4055 8979\n3168 6669\n466 2996\n1115 11337\n3631 4332\n1032 1052\n2811 10394\n1683 4174\n3357 8737\n3301 10225\n2590 3823\n318 4240\n3586 6934\n694 7570\n5207 10690\n3852 8530\n3854 4654\n6584 6926\n997 6257\n4411 5229\n2468 5110\n4131 4574\n4067 9796\n3009 5920\n1177 2440\n10397 12172\n92 4671\n882 9334\n1066 9922\n1515 11603\n2924 4292\n2570 6570\n1656 3421\n9001 10638\n5235 9486\n1098 1273\n3528 8210\n9428 11357\n9087 10291\n2194 2517\n4303 6351\n3518 9844\n10437 10935\n4273 7989\n594 3140\n2327 9076\n3802 6218\n1623 3734\n3784 5031\n8641 11857\n8416 8554\n6518 9828\n332 7093\n4832 6701\n6629 8114\n360 5233\n1923 10933\n750 8405\n1269 10683\n6937 9921\n4601 7419\n1424 7252\n24 5601\n948 2888\n2413 8503\n1139 3782\n6587 7123\n3360 11120\n1283 7140\n4550 11692\n329 8801\n3637 8747\n501 3304\n45 8287\n10544 11273\n6422 10598\n4724 6498\n883 8027\n2335 5851\n2429 11050\n3646 11824\n8080 8200\n6922 9762\n3798 6584\n241 5230\n8291 10861\n1961 6439\n1745 8926\n3201 10249\n347 9241\n340 4751\n849 9132\n265 7454\n7830 8607\n1380 7743\n3914 9171\n3068 8153\n9066 12103\n4199 10170\n1969 3198\n875 8744\n6495 8057\n1067 2070\n1741 5696\n1742 9790\n1328 5727\n8996 11553\n6876 11342\n6874 10215\n961 7770\n7034 10615\n2495 9050\n4164 9505\n10045 11895\n6710 12027\n6341 11221\n839 1660\n6807 10428\n4976 5553\n1741 4287\n1884 4423\n11292 11346\n187 8333\n4287 11772\n4715 11571\n380 1180\n2187 3314\n3692 10605\n3600 9842\n2032 9699\n6944 7840\n2385 10492\n6077 11258\n2211 11000\n6212 9731\n1088 5693\n7557 10286\n8875 9697\n461 11157\n5286 9234\n3412 4869\n4078 6669\n2903 9345\n118 4095\n91 6936\n4080 6755\n5099 8133\n6726 7566\n2675 3992\n1809 9751\n1294 8102\n2201 7857\n1932 4811\n969 6296\n9510 11674\n3822 4543\n673 11004\n7615 10829\n1364 7708\n3742 8447\n845 8980\n2941 10111\n7503 7833\n4981 6402\n959 4784\n595 7770\n1386 12107\n716 2678\n1431 1844\n2404 2851\n3950 5278\n107 2142\n7035 9636\n3027 5615\n4156 11885\n44 8593\n816 10051\n1247 7816\n5369 9332\n2148 2345\n2436 9189\n3138 5466\n4049 10727\n2839 11020\n6162 8421\n3684 10497\n1086 2207\n3445 6161\n79 1044\n7130 8967\n3996 9533\n2654 3213\n10660 10992\n4865 9664\n6226 7489\n914 8464\n370 10781\n4626 11181\n4829 7765\n3492 5232\n3341 5194\n6592 7137\n1269 4934\n708 1788\n7101 11386\n6459 8861\n1341 2150\n2266 9941\n2451 5650\n553 11200\n1217 6019\n459 3088\n8471 9396\n7914 9131\n6667 8841\n1564 4523\n5710 6220\n27 4202\n3299 8400\n7699 7923\n3684 6181\n6889 7366\n5715 9456\n10977 11189\n1304 5073\n1177 4538\n5582 6178\n6106 6784\n7515 8192\n4050 11989\n9782 11576\n53 99\n4439 8213\n5042 9600\n980 5048\n9154 9950\n4330 7889\n9980 10995\n1136 8703\n2153 10680\n2138 3341\n1486 1549\n362 1772\n8501 11061\n5505 6425\n6949 10478\n3753 6176\n8546 11921\n2236 11488\n2398 3147\n11289 11714\n3650 8036\n567 5801\n6743 10172\n2132 5599\n4542 9230\n4521 4540\n5203 11255\n714 6629\n6134 7494\n11544 11858\n3331 11020\n8336 12088\n4037 6483\n1315 10951\n5889 9814\n8114 11885\n1613 5992\n3513 10651\n140 5391\n5399 6692\n5710 9324\n1364 3205\n6926 8430\n1402 5287\n600 9934\n1052 5598\n1612 6876\n2238 8201\n2230 9028\n259 3993\n4323 4410\n597 8259\n3553 7158\n3690 7815\n812 10116\n3739 6965\n3596 3622\n8003 8426\n2209 3059\n8122 8890\n3203 3938\n1426 9725\n1823 10151\n4301 7956\n7528 10979\n3453 10742\n6337 12143\n3317 9915\n9697 11335\n487 4245\n609 3442\n2908 11064\n1480 9015\n804 4895\n3366 7882\n507 12179\n825 3301\n1097 6062\n4614 4798\n755 8216\n3097 5880\n5891 7106\n5746 6819\n4562 10363\n649 11461\n3954 8132\n789 6025\n6172 11272\n3908 7232\n6593 11516\n65 905\n7691 9764\n5106 5522\n1398 8697\n3705 3885\n2412 4044\n4986 6683\n1684 2661\n6424 9944\n1452 5303\n2654 5068\n187 8035\n2933 5178\n8166 11292\n6339 11566\n8757 11808\n9416 10098\n114 10888\n4622 9452\n6485 8324\n4745 11169\n5822 10680\n8632 9428\n5142 11019\n8701 11374\n4576 11145\n7573 9399\n10039 12052\n366 7093\n411 7476\n6977 9620\n3557 5722\n10609 12105\n3927 7091\n1274 7486\n1518 1934\n2751 3003\n2821 5608\n2015 10964\n11334 11806\n5012 9574\n2808 11512\n9832 9943\n2663 10131\n1003 9446\n5888 8834\n9607 11867\n1487 11557\n2214 11509\n1756 11318\n213 461\n4948 6067\n7259 11878\n1906 4245\n10904 11225\n4850 5439\n6155 6424\n3582 9511\n1705 7677\n6423 12174\n2642 10212\n4644 5911\n5766 10926\n1895 2398\n7457 8457\n2271 11847\n5137 7836\n851 6630\n1126 8527\n2062 10401\n10960 11338\n727 6034\n2329 7883\n4941 9985\n348 1005\n749 1920\n310 2334\n638 7017\n3478 11437\n3054 5931\n4989 9155\n3282 12123\n409 10168\n2856 7331\n4943 7628\n2645 8811\n779 6891\n1469 3237\n1159 9837\n5810 9722\n1555 3544\n871 2766\n895 5683\n2345 6149\n6433 10962\n8272 9907\n8326 11602\n10967 11879\n844 9083\n1698 4813\n5108 11555\n7774 11743\n3713 6203\n2271 8252\n790 7386\n7451 7791\n10820 11086\n2543 4319\n2953 11168\n1387 6286\n241 2500\n2547 6713\n1809 2052\n7740 7992\n2866 9597\n8695 9731\n1991 7295\n7802 8168\n8425 8571\n5929 7320\n10995 11701\n598 11273\n9694 9944\n1052 6094\n7843 9783\n5693 6274\n1011 9452\n2234 8247\n731 3326\n515 2676\n3595 4390\n2115 8451\n11602 11809\n6077 7521\n2070 9555\n1546 7012\n3835 5801\n9210 9589\n46 9025\n118 5962\n3784 6350\n4734 9365\n2646 6189\n8245 10065\n2115 9418\n1392 3343\n6693 11109\n4340 7212\n1894 10927\n7289 9430\n5598 6183\n4568 9492\n2022 5923\n3546 9217\n853 1255\n10295 11602\n3370 11809\n2573 7951\n1811 5489\n4504 7426\n87 6817\n2160 4241\n3500 6852\n3180 10518\n268 899\n9906 12168\n375 9295\n4604 5824\n467 2374\n7859 9312\n7637 11897\n4206 4765\n1208 5966\n1434 11217\n5624 6506\n4741 8640\n4275 11559\n7842 9760\n142 9412\n4808 8036\n4910 11265\n3068 3553\n9207 10689\n2028 4382\n1516 4507\n466 5357\n4148 6947\n6040 8313\n481 4274\n5685 6003\n1735 6965\n2004 2548\n4872 5874\n797 10382\n494 7616\n2967 8314\n570 11117\n5069 11433\n4829 11174\n8852 10056\n2487 6464\n2043 8235\n1295 3126\n1318 11883\n394 4542\n3168 11069\n747 5808\n3532 7302\n5912 9687\n1091 9315\n63 6242\n1878 10236\n6314 7089\n4484 11679\n11086 11497\n133 11071\n3492 4491\n5657 10356\n842 11811\n2538 11532\n1328 2180\n3994 12148\n1073 9582\n8636 10861\n5303 11991\n107 7756\n9413 11757\n2083 11440\n644 11297\n1191 10336\n5637 10803\n897 10506\n5377 11540\n2298 6405\n1881 10362\n1275 9876\n1101 5399\n5475 10996\n5165 6526\n3075 6343\n6468 10012\n1086 9919\n4514 6282\n1446 7500\n4934 9890\n1480 2681\n350 3219\n5839 7866\n7141 9544\n2228 7818\n3852 10338\n7167 11782\n4068 7178\n3967 7402\n7431 11505\n6663 9475\n4311 11579\n7458 11932\n6415 8890\n2423 8424\n4005 4387\n6239 8086\n5067 9723\n1871 2985\n896 10097\n3873 4073\n8178 10292\n4595 10913\n1559 9916\n4606 7629\n1856 9552\n3087 7778\n44 7625\n4009 7876\n1180 3725\n1677 4110\n3227 11455\n1243 4724\n8371 11139\n6069 6298\n459 1459\n1566 10393\n3049 10625\n2902 5598\n3540 6396\n541 8920\n1601 7037\n2759 2996\n8600 9953\n8470 10522\n2450 11842\n997 10505\n8611 11535\n10232 10294\n4441 6126\n5154 7079\n6975 11038\n5787 7445\n6654 10935\n11436 12077\n5499 11636\n614 7863\n1329 9171\n116 9216\n5577 12074\n3766 4779\n736 10803\n998 10677\n6987 7484\n3924 7924\n2386 7657\n3856 3974\n4582 11655\n2063 2816\n2125 4256\n2493 2820\n2548 10970\n3554 6496\n9558 10433\n5433 11635\n8039 9627\n1628 3727\n2340 4284\n266 1314\n3560 8815\n10033 10084\n9253 11853\n3203 5910\n7769 8454\n8437 10475\n9455 9913\n192 10874\n7518 9892\n1005 4494\n5625 9247\n3781 6873\n995 2996\n6005 6116\n10171 10789\n4661 9614\n6154 7525\n4361 6157\n2435 8523\n3322 7042\n837 12138\n254 1271\n3286 10987\n3630 5384\n668 8990\n4224 10578\n596 9145\n1993 8455\n2180 9205\n1313 7024\n7941 9893\n776 3433\n4621 5995\n1448 10329\n1592 4981\n5885 6364\n950 10537\n9229 9896\n6570 10586\n7490 9647\n8837 11830\n6368 9368\n507 6006\n5880 11898\n5156 5180\n5484 11282\n4755 8139\n4761 7168\n2911 4570\n4370 8652\n38 10524\n6366 9518\n5065 10906\n4061 10384\n4666 10185\n331 3897\n5796 6264\n438 4623\n6531 12008\n1653 6852\n2968 8905\n3717 3858\n2386 10048\n1955 7542\n37 7159\n7302 9011\n5697 11352\n1074 5547\n1525 4323\n6417 7407\n181 762\n4690 4755\n3480 7678\n4188 4782\n469 12011\n2173 11167\n337 8079\n8321 9744\n604 5721\n754 7060\n4979 10761\n5206 12073\n2801 4311\n5096 6092\n1697 6356\n880 2369\n9232 10289\n1435 3407\n302 10621\n8025 11512\n2351 10148\n598 8872\n7261 11475\n5723 10827\n248 1979\n641 6191\n194 9957\n5554 8565\n1197 9560\n2037 6825\n381 9387\n8828 9261\n7784 11305\n1217 10966\n3320 5468\n7064 10564\n1499 4581\n1562 11994\n5416 10183\n1319 8512\n411 6685\n773 2002\n1118 5585\n7336 11676\n1493 11504\n2017 11050\n4065 4222\n7858 10310\n5848 7271\n9540 9792\n5614 6499\n7137 9756\n4009 8977\n2453 3843\n2330 11677\n5582 7857\n1977 5877\n470 7489\n8523 9873\n7481 9403\n5622 9565\n3893 5468\n8123 10314\n534 977\n7663 10704\n2394 4305\n2067 7613\n10083 10574\n7165 8462\n5758 6323\n8288 11915\n977 1924\n6451 9195\n9400 9964\n1819 6264\n1215 8974\n467 848\n3064 11432\n2198 2284\n128 9277\n5021 11417\n3240 9459\n1384 10161\n1380 7855\n3183 3552\n1131 2749\n599 11728\n622 3151\n5700 10174\n4570 5710\n8307 10440\n2680 5332\n5779 8389\n4356 5760\n4248 10525\n4614 10301\n485 9226\n8432 10851\n156 3504\n5878 8894\n61 5389\n449 7115\n2990 9654\n3988 8598\n8480 11635\n1212 5146\n6655 8167\n4437 7853\n4585 8134\n1864 4184\n4183 7751\n10772 10819\n8058 10045\n7095 8558\n5357 7277\n3654 10820\n10184 11244\n125 2081\n1373 6508\n5649 10934\n6034 11438\n375 10669\n1160 4431\n6306 8504\n6898 11761\n6904 12023\n3389 7335\n1341 3454\n3591 6886\n1953 3460\n7155 7466\n676 11304\n4297 9964\n2881 5697\n4931 10608\n576 10030\n952 8099\n8313 11160\n7733 9774\n9423 9801\n200 4811\n1975 10128\n3123 11887\n3697 3945\n1268 8106\n1734 6368\n322 8804\n6558 9017\n1897 4350\n5874 6066\n2396 4522\n160 8910\n688 8070\n5776 6675\n6420 7298\n4592 10714\n3258 9148\n340 2844\n3000 10414\n1309 8919\n5786 7335\n7282 9671\n467 2817\n3864 5810\n2582 11938\n335 12147\n4298 9294\n2391 2643\n6910 11042\n8103 11902\n10206 11257\n7432 8181\n1204 7834\n3652 11146\n6201 7663\n5683 6877\n444 11395\n8600 9079\n509 9886\n3250 5319\n2896 6946\n8802 10945\n1911 5822\n1541 3510\n3135 6641\n1315 10574\n900 5786\n8870 10471\n1124 8804\n11698 12098\n6520 7299\n1897 8239\n5979 11395\n2088 10064\n5454 11426\n616 12050\n6379 7578\n2470 5396\n5392 8474\n8659 11804\n417 3733\n2480 4752\n25 7248\n9265 11625\n9004 10937\n2713 9180\n4599 9175\n1216 8079\n589 4562\n4630 6869\n8304 11248\n9375 10802\n6457 6878\n4422 6176\n918 7267\n3201 7197\n1035 3262\n8449 10678\n3217 10688\n10227 12143\n8944 10471\n735 9942\n6274 8797\n4815 5991\n7111 10704\n1008 8379\n12087 12139\n1484 11392\n846 7358\n5432 8616\n8672 11819\n3937 9755\n5657 10000\n7408 8021\n3531 5557\n3371 8772\n6372 10349\n3904 9573\n10238 12020\n839 1401\n1613 4201\n10791 11171\n2808 9520\n789 4735\n7051 7934\n4010 9097\n6824 10768\n2240 10361\n337 2522\n3096 10110\n1960 11369\n7800 9240\n3919 6546\n665 1492\n3687 4921\n7605 10819\n6142 9592\n4079 9470\n1175 6370\n4392 12194\n8600 10539\n1902 10047\n6085 8267\n6584 10039\n3532 11002\n148 7644\n8133 12048\n5981 9699\n4121 9452\n7084 8897\n2667 6171\n8187 9323\n642 5279\n3039 8188\n78 6333\n171 3949\n5213 9998\n1503 11865\n7550 9686\n5079 9251\n1816 8433\n4741 5227\n1228 2980\n6908 11379\n1063 12077\n2345 10977\n8285 11207\n2684 6109\n6699 7139\n5647 8979\n4515 6188\n962 7351\n3852 10327\n441 8502\n7879 7998\n933 1574\n6911 8286\n3337 5359\n6187 9488\n6144 11700\n2096 10644\n7706 9899\n832 11203\n3801 4956\n1197 4656\n4912 8878\n8486 10507\n9795 10009\n4053 6620\n10252 11968\n3754 7591\n7692 7747\n1967 4695\n2291 8773\n8710 11617\n2992 7455\n2977 10959\n2036 5053\n7120 10781\n6748 9474\n7721 9266\n10419 12060\n6720 9798\n5871 9968\n4928 11940\n1335 1522\n3041 8181\n10531 11762\n758 2335\n8178 11029\n3038 11993\n3426 6619\n6011 10499\n2246 12127\n2415 5784\n5714 5880\n940 12090\n7968 8068\n194 7470\n3093 7740\n326 2746\n1644 2271\n3894 8168\n10224 10476\n63 5440\n1849 2474\n9844 10945\n1519 2447\n7093 11234\n551 9381\n4709 10365\n7595 11619\n1125 7988\n242 8610\n8787 11827\n10283 12097\n972 12059\n620 2666\n2309 2990\n4614 10456\n3939 9202\n3241 4255\n4873 7791\n2710 6915\n421 4659\n49 4284\n5572 10514\n5078 5424\n2155 9848\n1782 6811\n7229 10149\n6705 8757\n3951 9827\n4703 5327\n7800 8002\n1682 9829\n553 9253\n2131 9914\n3124 9213\n4979 6626\n6763 10430\n4482 9581\n4306 7661\n1092 5960\n4053 4196\n6188 7945\n1208 7463\n219 5043\n9409 11372\n6092 10193\n7195 8379\n623 3598\n8212 10963\n1705 2612\n1113 8552\n2345 10461\n1566 4596\n3301 9718\n241 10255\n9042 10165\n6161 11120\n6373 9294\n1450 9934\n4335 4635\n2088 9894\n4263 12055\n3078 9315\n761 11040\n235 6268\n10368 11318\n9721 10234\n4243 8979\n2051 2408\n2218 11274\n6135 8288\n10714 11582\n2160 11906\n1086 2752\n3509 7185\n2146 7342\n6222 7912\n6291 7602\n2581 5831\n5518 8692\n8864 12040\n9228 9747\n3927 11912\n1837 10013\n582 3397\n4184 7238\n3100 3854\n5156 11291\n7369 7741\n2029 9058\n2397 6418\n6195 7101\n1741 12052\n744 7269\n2046 11694\n4007 9353\n4099 11627\n7776 10272\n9121 11639\n538 2608\n6388 10495\n8851 9285\n4645 6096\n8173 9668\n3662 4902\n939 1236\n1413 5414\n977 5210\n462 9789\n2015 2061\n6975 11144\n3141 3739\n1502 2908\n1571 7974\n913 6550\n5031 8238\n8509 9481\n1191 8779\n1964 11389\n1439 10013\n122 8866\n8770 12108\n7566 11520\n6958 11893\n5342 9600\n4365 4451\n4354 9139\n2197 5440\n5999 7543\n1067 3301\n3861 6225\n5395 7354\n6373 9829\n6632 6872\n588 10062\n5288 9825\n2099 6051\n8854 9894\n407 7170\n5258 6033\n8828 10727\n607 8135\n4233 4246\n7257 7462\n6667 9069\n3249 6379\n849 3941\n2282 11753\n7224 10718\n9568 10060\n4205 7000\n2854 10992\n3981 11269\n1463 1603\n4253 6763\n2369 10763\n654 2487\n935 9045\n775 11262\n10466 11933\n2721 10647\n777 6995\n3176 8095\n3907 3924\n6943 11068\n5942 8812\n2286 6314\n6419 11166\n9425 10559\n4702 8461\n3564 8908\n3453 3512\n4712 9203\n3692 7070\n1438 10097\n7455 12121\n1873 7461\n437 5461\n2869 8910\n2853 6385\n1348 4920\n1318 2349\n2955 6920\n3672 5717\n2270 6736\n2650 4522\n3483 11452\n1250 4338\n4570 7805\n5540 10483\n2022 2337\n4397 11746\n5224 11810\n288 4523\n5149 5529\n1911 10290\n2514 10419\n8733 10241\n2250 7128\n5613 5808\n2009 9170\n4470 10975\n6621 8170\n1287 2224\n3005 10541\n2797 4804\n3016 9898\n407 1277\n11626 12144\n4047 6170\n3494 7879\n2790 3905\n1633 4325\n4888 6357\n4173 8000\n3618 10270\n5472 6089\n1539 3454\n4903 7065\n6978 12190\n7092 10500\n2607 9730\n7991 8349\n9055 12103\n2061 4866\n822 3778\n1678 5062\n1530 7527\n3509 6941\n620 11991\n3772 8624\n2093 7046\n2308 6450\n29 5311\n3860 11953\n5118 8192\n6358 11869\n1532 2902\n4296 5030\n3620 8900\n10637 11180\n8011 8752\n1895 10165\n1203 3093\n4478 7146\n5133 9487\n3877 8357\n2694 6699\n2194 9936\n5647 6237\n2071 6226\n8713 9998\n9543 12191\n7038 11380\n2073 9527\n8168 10871\n10907 11996\n2825 4254\n8441 8722\n396 6055\n4003 7903\n4518 11493\n5191 7707\n3526 6059\n1407 7948\n1866 5195\n4165 10069\n5346 7600\n6241 10079\n2171 9735\n4951 6349\n294 7880\n2264 10563\n561 1769\n309 12050\n3083 4791\n7186 7526\n6715 11887\n314 996\n5045 5651\n2283 4797\n1255 3322\n63 2096\n1747 9405\n1998 10406\n2505 8234\n7467 10038\n2360 4281\n1923 2167\n7626 7654\n6414 9016\n3921 7410\n9224 12028\n1989 5016\n24 488\n1750 6214\n4318 10972\n8527 10712\n4710 7622\n870 2609\n9462 9648\n3508 11142\n4073 7870\n6271 8770\n780 10200\n6596 7460\n1598 2774\n6599 11859\n2528 2568\n1043 6869\n2844 5201\n2991 3829\n415 6424\n3097 12094\n6337 6341\n2249 3382\n3512 6223\n89 7775\n1194 6950\n2550 5781\n1295 1556\n1891 11626\n1483 11265\n9993 11061\n6037 10193\n2668 12184\n3001 3766\n149 1705\n1014 7182\n1781 8459\n176 4769\n5817 7844\n3160 9400\n1873 10711\n5934 7052\n4002 5584\n4642 8881\n446 3970\n2260 4283\n2217 11260\n5768 6324\n328 9094\n1670 9534\n833 1923\n3202 3406\n1828 2319\n32 6077\n484 9301\n4383 11329\n6215 8835\n4017 11411\n3080 12115\n182 1373\n3398 4102\n3576 11740\n3124 4631\n8677 10281\n1792 6744\n2422 5476\n8148 10968\n6579 8025\n3175 7238\n7166 8425\n2441 9884\n5496 8361\n4946 11551\n2154 7648\n343 3516\n3130 4222\n3052 7726\n3369 9251\n3278 5008\n1029 6334\n3430 10431\n3576 6924\n6003 9495\n2157 9775\n1113 2500\n5786 6429\n1211 8680\n197 6125\n4067 8158\n8438 9435\n7845 10738\n10417 10548\n1462 4717\n5057 7608\n3601 4103\n2612 9750\n6525 7565\n2834 5595\n1736 8408\n8269 11095\n807 11184\n179 701\n634 2542\n3645 12129\n5671 9915\n1236 11632\n5095 7001\n1680 8251\n4329 11753\n10097 11238\n5532 7389\n1716 2476\n1966 7969\n4306 11836\n3311 4539\n8229 10950\n571 11156\n6142 11874\n7168 12156\n4420 5388\n4055 6902\n5300 10158\n5840 9936\n2587 7028\n6871 7679\n3758 7812\n658 3227\n879 1948\n5627 7240\n3926 5035\n4892 11726\n2194 11121\n1495 9785\n6513 11739\n2918 7392\n5944 7886\n8268 10674\n393 797\n4790 11147\n8909 11351\n4132 9691\n4339 10339\n4669 8178\n1954 2474\n1405 4833\n2986 4180\n228 8227\n115 7259\n9697 11991\n1599 7894\n1011 2204\n2385 7268\n5399 7038\n5314 9161\n7077 9259\n221 8679\n2071 4758\n2225 10933\n3079 7648\n2436 6341\n6147 9076\n372 4341\n3972 3991\n6781 7792\n12073 12166\n2069 12033\n2734 9703\n1908 11341\n423 7853\n652 9791\n2353 9947\n2159 6994\n8440 10278\n1868 2473\n28 7693\n2909 5729\n586 2323\n585 2490\n3558 4306\n7716 9160\n633 8478\n9553 11909\n5778 11407\n2950 9458\n7523 11432\n5018 10707\n4968 7645\n5044 8027\n705 6645\n1317 4352\n5395 10658\n3959 10787\n198 1725\n7425 8525\n10178 10209\n9091 11135\n3485 11276\n1011 6047\n5219 6287\n2995 7438\n4523 10449\n678 10137\n3945 8267\n6561 11339\n5252 7929\n385 10692\n6729 8470\n2354 5294\n11469 11984\n271 3184\n1541 5624\n5278 8088\n5516 8245\n2765 10306\n6826 7184\n2418 11039\n5076 10569\n252 8736\n3790 6443\n932 2942\n1112 7463\n738 4418\n951 11124\n2297 11019\n1433 3029\n4823 9703\n2697 5473\n1327 5793\n8219 12141\n3134 5998\n9252 9519\n2387 7788\n5573 9343\n6995 10929\n2340 7197\n33 10988\n2201 6312\n3675 4563\n2449 7608\n2819 10745\n1995 9488\n5523 9201\n1715 7385\n1561 3903\n3325 10841\n4444 10459\n893 4311\n5543 7674\n7649 12006\n1387 1730\n3222 3746\n2046 11471\n4158 6607\n9309 9488\n233 3929\n967 10311\n11320 12178\n8913 11132\n5968 11703\n337 4992\n2617 8224\n9348 9615\n1022 11518\n9 8500\n10607 11970\n2729 5538\n6959 10148\n4035 5144\n1505 4294\n11106 11358\n2270 5416\n3443 3872\n5713 10846\n7466 9170\n4150 5300\n4333 8861\n347 11631\n6520 6758\n861 4864\n4238 7051\n341 5729\n2319 5425\n1407 10602\n7567 11348\n3174 4793\n3753 4104\n4646 6142\n1994 2222\n5860 11541\n6862 10808\n5407 11915\n2945 8217\n3979 4809\n11622 11723\n5540 9092\n128 7702\n5788 5796\n2919 7462\n11292 12021\n3207 4832\n1093 5584\n5388 7796\n4658 9171\n6499 7057\n1142 1696\n1213 10411\n2319 10436\n310 10305\n863 6008\n155 10782\n1150 5455\n1426 3075\n3976 10825\n4006 5613\n235 11155\n6702 11995\n829 7890\n3712 8880\n4513 6530\n3381 3485\n1874 8968\n8422 11935\n2404 4096\n708 5754\n3585 11228\n529 3616\n2486 8752\n1183 4109\n4688 6991\n1439 10068\n7943 10002\n2002 11930\n5028 6259\n2462 3170\n5090 11017\n3857 6963\n4561 7037\n662 7399\n312 2815\n7388 7792\n6669 11328\n491 1703\n862 2256\n6433 11553\n3128 9704\n1621 7206\n2266 5550\n327 5787\n5604 6685\n1669 2692\n2015 7397\n3464 9182\n1152 1730\n2874 3558\n6042 7823\n5881 6503\n3477 3879\n6591 10394\n6975 12033\n9856 11499\n2472 9991\n6935 11908\n3122 8915\n3614 8730\n800 6790\n10772 12106\n2791 9074\n4396 10154\n287 7057\n1247 5601\n5924 9944\n3995 11812\n969 7320\n6067 10875\n5982 10235\n1357 3176\n6518 7353\n3983 5476\n5269 11100\n5461 7028\n696 1121\n4280 6879\n43 9772\n2555 5763\n9151 9460\n7717 10765\n1305 7978\n823 10849\n4137 8323\n2670 8844\n2472 11705\n92 2463\n6539 10499\n5130 9474\n2098 8401\n5151 6774\n2059 8988\n1349 5446\n4781 6747\n7264 7640\n937 2481\n11859 12186\n1434 10493\n5835 11843\n5034 9209\n11819 12011\n10615 11458\n3059 4814\n2318 3458\n5628 8824\n1875 9167\n2692 4109\n3104 10284\n4296 9020\n1127 2116\n10203 11116\n7629 9314\n2145 10850\n5328 7105\n4294 7783\n39 3287\n3381 9274\n839 2519\n6850 8583\n539 10008\n2513 2854\n4227 9796\n2062 8768\n4181 9045\n5543 6287\n740 6081\n2210 9239\n4666 7066\n5427 11288\n2765 3434\n8170 8394\n3332 5427\n3473 3677\n1004 9265\n7219 12182\n5104 9066\n9274 10055\n621 11487\n2041 8293\n6141 10021\n1036 5011\n7649 11330\n8870 10494\n2734 5352\n4407 12001\n7564 10383\n2529 8806\n1167 11940\n3366 6619\n78 6441\n8228 12146\n8455 12112\n3468 4226\n8360 10387\n2727 5412\n11899 12152\n5036 8448\n1325 3678\n9670 10304\n6229 8310\n1923 2712\n7765 9485\n785 7167\n4019 5595\n337 2206\n7710 12137\n3993 4449\n730 7609\n6802 9032\n9790 11122\n1295 9245\n4473 9171\n5572 9379\n903 1781\n1575 5215\n1100 9904\n9033 10889\n2366 11476\n5237 8978\n600 11435\n2443 11658\n33 4646\n7881 8033\n3786 9365\n67 1633\n7192 11596\n3641 7947\n626 9829\n6648 8988\n4212 9458\n3425 11697\n197 5583\n7633 7973\n73 6326\n2521 5649\n69 9786\n5687 8458\n9088 11427\n5700 6732\n2104 4975\n1204 6360\n6798 9941\n7831 9004\n3171 3534\n1431 8558\n1785 9649\n1335 10509\n1279 2812\n4874 5666\n9277 10517\n8168 11705\n1689 6285\n3587 8407\n10041 11573\n8968 11120\n6094 9305\n2453 4557\n3553 4961\n5843 6993\n2996 11175\n2052 12075\n1539 6281\n5095 10341\n4488 11759\n7923 9352\n2329 10834\n5330 9604\n7193 9024\n1430 1932\n5845 7459\n3257 11128\n5440 10931\n2038 11989\n582 7345\n3859 6823\n3983 4620\n3894 10087\n6799 6950\n257 5342\n5003 6301\n1903 11739\n4706 11463\n5655 11157\n7133 10058\n8377 9752\n413 1355\n2102 10970\n4135 5129\n3923 5391\n5024 6571\n7753 10050\n6992 8249\n7873 10654\n1199 3722\n4406 6703\n916 5964\n1364 2056\n277 9952\n2932 5204\n334 9073\n4255 9904\n666 9097\n1835 6157\n6745 7890\n6793 10800\n5974 8534\n9753 10458\n5157 9512\n6588 10379\n3492 6125\n1841 5010\n1789 11640\n4217 6223\n5826 11314\n7904 9391\n3689 9750\n692 6913\n1313 9806\n8364 10623\n8120 9870\n11310 11629\n10121 11067\n7716 9003\n8860 11790\n5523 6352\n2632 4384\n2782 8860\n1671 11383\n7505 8243\n3543 10607\n482 4135\n6413 10154\n8042 8161\n2572 11907\n2046 5827\n2024 7625\n7030 12192\n2497 3886\n3106 4565\n8398 10021\n8705 10915\n1191 9633\n7986 8284\n1582 7617\n7616 10645\n2522 8025\n986 6570\n3398 11054\n3929 6468\n1584 6721\n290 9943\n3637 11988\n999 10428\n6744 10728\n4773 9333\n6414 9202\n587 8264\n756 8933\n4718 5985\n3288 6902\n8544 10782\n5184 8029\n2078 7393\n1443 10659\n8834 10616\n3820 10958\n7251 11124\n2617 2945\n375 2360\n2964 4506\n828 5046\n7478 10625\n3507 3684\n3488 4862\n1460 2559\n3947 4349\n3000 9409\n70 1849\n712 10608\n342 7828\n5273 7585\n902 1974\n4163 6440\n6570 9388\n653 12150\n956 3763\n500 3797\n2517 11743\n1415 9292\n3692 6243\n3383 9316\n6572 11018\n2928 10765\n4816 12040\n191 7936\n640 3363\n2729 11563\n2926 11001\n452 587\n3261 7273\n5346 11453\n1249 2626\n462 3011\n2028 4930\n5085 5838\n4180 8290\n9376 9861\n4352 12025\n147 11798\n2896 3115\n6761 7345\n4360 5567\n7188 11423\n4155 9819\n367 11741\n4143 7080\n4251 11491\n898 7930\n11460 11952\n1070 3978\n5932 9935\n5048 11132\n2625 7641\n7101 8686\n1329 6103\n5968 8728\n6815 8224\n8174 11071\n6660 10669\n9243 11453\n4867 11271\n1226 3089\n2733 8008\n3861 6951\n4961 9397\n93 2927\n3935 5930\n3931 9780\n1168 6731\n5142 5241\n4611 10007\n1602 8327\n1144 10038\n3890 5221\n445 8367\n6558 7216\n4782 5031\n3668 5662\n3567 6691\n3832 5198\n3511 7674\n3256 11240\n6734 11102\n2119 7076\n5825 6195\n4154 11959\n5051 10426\n2641 11908\n3735 5936\n5549 8147\n2749 5294\n2149 6248\n2063 8386\n3525 5581\n2826 9487\n3685 6206\n3044 11904\n5866 9735\n9529 9855\n585 2714\n2989 5351\n1403 3187\n137 8205\n4802 10983\n5767 11506\n1997 11906\n1574 8154\n5505 11357\n4256 11124\n8898 11088\n490 8714\n1838 3360\n6384 9763\n3024 6635\n1192 2492\n7897 9952\n970 4459\n3466 6148\n4418 9783\n3633 4772\n9695 10273\n5946 11898\n919 4028\n31 10976\n161 5991\n3337 7313\n4891 10179\n1322 8361\n5480 12088\n4305 5776\n3164 4280\n4041 4676\n9982 10009\n4974 8276\n3140 9130\n6397 7825\n303 5045\n3475 5361\n1739 9281\n4878 8253\n3225 4790\n4727 10850\n4540 10706\n3924 5345\n1393 7227\n1153 3525\n1504 10495\n572 2254\n2559 8563\n6229 10162\n1841 6949\n8672 9226\n4674 5207\n5470 11561\n3741 11208\n6481 11418\n5342 10373\n3119 10956\n3390 4782\n2696 3851\n5475 7951\n11280 11621\n7559 12132\n3065 6363\n1976 3722\n5570 7753\n280 2990\n7101 10927\n2942 5979\n3863 10297\n3169 10150\n6158 6872\n1152 8105\n4225 10498\n178 2478\n1314 7904\n5963 9539\n4192 8223\n7054 10318\n2367 3515\n6182 8812\n4875 5785\n4663 11938\n3296 8953\n1438 8178\n7875 11766\n194 9697\n2198 2598\n2915 2973\n1934 4974\n1446 8184\n122 10721\n5279 11266\n2880 9745\n133 8899\n3814 5582\n1468 9196\n4152 5662\n1536 10527\n558 2420\n5600 7646\n1948 8869\n4135 4928\n3000 11016\n8007 12126\n159 7403\n923 2201\n1674 9395\n8330 11700\n5679 11805\n6274 6439\n8800 11076\n1688 5038\n274 1601\n2510 5308\n8134 9124\n1523 10956\n2591 9444\n1835 3072\n1811 10610\n2580 7173\n1318 2100\n2154 8081\n3198 9089\n3685 4353\n8167 12074\n5362 10074\n3016 9515\n11281 12088\n4114 11715\n2462 12171\n1466 6917\n851 6680\n1776 8408\n1470 6468\n1063 2313\n2008 9042\n5616 9170\n5568 8210\n3400 4744\n7731 8097\n488 1297\n1909 7906\n3940 9370\n742 10489\n2498 4583\n782 6897\n3760 8915\n532 10524\n1592 8147\n8260 11944\n2024 9235\n9747 11649\n2267 10323\n9997 10692\n2736 7669\n7054 7640\n3836 4568\n75 2148\n1533 8790\n5050 9630\n6414 8079\n343 5474\n10515 11504\n8058 11131\n854 3788\n912 7287\n2057 10434\n4616 6779\n5252 9847\n5107 5210\n4122 5380\n9839 9888\n9103 10324\n2986 10980\n8099 11875\n6725 9774\n783 6831\n6763 7566\n5479 9999\n1480 11017\n4853 11611\n3251 8194\n8127 9611\n7858 10300\n1397 3665\n2887 4161\n514 7370\n3104 6253\n7342 11811\n193 5769\n1528 6160\n4129 10523\n4030 9371\n1816 3077\n3673 8871\n3320 9321\n1295 11097\n7796 8074\n2438 6528\n5498 6848\n609 4421\n1203 1671\n4399 6784\n5557 9750\n5718 9962\n804 3362\n2818 6345\n48 6846\n9955 11137\n5585 5859\n377 11763\n6979 10689\n7493 12085\n2395 6899\n3581 8059\n4213 5865\n4331 7679\n9892 11679\n383 9597\n8425 11296\n919 9703\n7103 9169\n3024 3341\n5076 10134\n9891 11410\n1741 8494\n2221 6894\n5614 12090\n4260 10658\n832 8318\n6645 9116\n4736 10641\n509 1562\n6848 7404\n8319 8480\n4412 10833\n3518 11058\n4433 11099\n3931 4568\n6340 11151\n706 1628\n273 11241\n2097 9270\n48 5555\n147 1294\n175 7176\n4998 8438\n4126 10377\n4511 4555\n3689 10102\n3381 8543\n2423 6923\n726 8399\n1656 8074\n3881 9172\n53 4513\n1162 8024\n899 7917\n1192 3894\n5599 8377\n428 2018\n1974 4697\n5839 6162\n2798 8774\n8783 10827\n467 9535\n2258 2905\n3180 11297\n10085 11607\n1168 4376\n1278 5276\n10570 12065\n6909 10196\n411 8000\n2892 5003\n8303 10323\n1497 5813\n3575 8397\n5754 8275\n3467 10028\n1606 4428\n1630 3831\n8063 10390\n6956 8777\n7032 11659\n53 9194\n3932 10067\n796 9297\n3950 9517\n1854 9593\n2417 3007\n3891 10576\n6887 11816\n2615 6969\n9411 9874\n2047 11208\n4540 5565\n2831 9454\n2813 9216\n1250 5693\n5961 10509\n1125 3329\n8940 9288\n7518 9116\n8181 11902\n1059 4690\n6319 11954\n6247 6897\n4477 10757\n1234 10504\n4982 11813\n7647 10282\n3029 5802\n3941 9640\n3930 11093\n9724 10255\n4203 11130\n4439 8599\n6755 7470\n4030 11787\n273 4634\n2673 4942\n1421 9934\n8731 10080\n8644 11634\n3270 3861\n357 1005\n3638 6236\n3158 12156\n5930 8639\n4977 7204\n1496 6704\n5641 10583\n1933 11296\n9033 12149\n6119 11714\n1844 2555\n5596 11337\n8821 10798\n2461 4018\n3888 8958\n7280 10145\n6812 11530\n4265 9856\n2633 3319\n8715 11964\n3492 3868\n5987 9505\n10258 10259\n6928 9325\n18 4914\n6212 11004\n9337 11132\n3732 7580\n2574 9581\n8251 10990\n878 6457\n5039 7870\n181 11791\n5519 5592\n4050 8738\n4217 6647\n5274 5509\n2048 11233\n8098 11422\n197 4554\n4092 6841\n5800 9535\n5684 9165\n2913 5477\n1523 8894\n8157 9226\n11022 11733\n1606 10981\n3792 5887\n4107 11586\n2471 9133\n959 3162\n5433 7855\n1735 5992\n1004 5995\n6975 8351\n3736 10442\n10722 10787\n3623 7966\n2092 3126\n4524 8764\n3126 9240\n1661 3994\n4743 8378\n626 12077\n4784 11204\n421 4998\n3997 7572\n5017 11621\n7272 7352\n7964 11202\n2685 2747\n1952 6094\n6301 7026\n1384 8925\n1953 7138\n5004 5807\n1094 3245\n2094 4741\n2194 4032\n7938 9523\n6544 11055\n2825 6834\n7874 9212\n122 8217\n12097 12153\n7935 10085\n5154 11096\n1508 9452\n2574 10176\n6820 8579\n387 5389\n6088 10994\n6339 9615\n1379 6302\n885 4368\n9583 10072\n6077 10097\n7251 8519\n9923 11423\n8503 9087\n661 2032\n2507 6693\n397 743\n2993 9748\n4152 9889\n1532 10770\n684 10184\n9012 10838\n419 8829\n1871 3440\n4307 5849\n1811 7389\n1626 8792\n1145 2781\n6856 9093\n1607 9113\n4111 6478\n4938 11332\n8371 11012\n688 5910\n3260 9604\n2448 9543\n7084 9853\n3248 4281\n1994 11988\n8030 11393\n344 710\n5579 6377\n6537 6922\n1270 2055\n9180 11757\n10592 12042\n9323 9599\n6486 7870\n4801 7330\n6200 8828\n2850 4884\n3348 8587\n7862 10007\n5928 6695\n2402 2894\n11058 11525\n1202 1784\n4074 8749\n5141 10062\n8563 10375\n10971 11525\n6978 12011\n1954 5374\n4572 8811\n5656 6235\n4433 9279\n284 10985\n4666 7307\n37 11040\n430 2132\n8783 9420\n10845 11457\n2406 6785\n4827 5427\n3889 6202\n7404 8713\n4547 8297\n1179 6640\n879 7910\n483 10421\n1079 6363\n11675 11760\n2502 3675\n4323 5336\n4283 9789\n4267 11533\n2011 10642\n2070 7008\n5159 12136\n5422 5971\n7218 10981\n6028 11277\n4619 11518\n3819 4883\n5441 8248\n1066 10918\n6690 12088\n1094 6102\n4689 9624\n6913 11272\n5289 11038\n2176 11833\n3585 9512\n3880 10035\n2617 5920\n2392 3137\n396 8219\n3589 6061\n5106 8648\n7047 11304\n2661 8069\n1659 1778\n3717 8721\n5846 9099\n4945 9963\n274 7330\n4847 11576\n7638 8619\n9674 11186\n1639 11987\n1325 2016\n2243 11486\n2623 6980\n1532 2027\n1573 11707\n2338 4061\n2455 7459\n752 3411\n8443 11749\n6200 10583\n298 2234\n4743 9946\n2286 10760\n5751 7976\n3901 9686\n1933 8453\n766 9511\n3284 4135\n1287 4535\n3965 6445\n5551 9350\n578 1582\n4798 11432\n6445 8215\n3290 7570\n5302 11541\n4616 8556\n1570 11200\n6144 10642\n1985 11614\n10379 12143\n10591 10834\n10306 10814\n3092 10029\n1281 9163\n3840 11088\n9278 11231\n1721 2131\n3623 6272\n2813 4348\n246 5724\n348 2486\n6878 10777\n4964 6436\n6602 9793\n2592 6321\n8350 10541\n3428 8914\n2238 5901\n5 5514\n1747 7116\n6823 9072\n3030 5155\n7548 10514\n3807 8444\n1148 7778\n10399 12140\n6009 6300\n1198 2239\n6729 7125\n3312 8948\n4964 11031\n3490 9898\n3226 11625\n6097 10355\n5968 10610\n1854 6535\n3488 3777\n2419 5818\n3747 7638\n7010 11422\n226 1885\n733 6944\n2472 2795\n4146 8432\n4298 10159\n4154 6766\n5413 6426\n136 4261\n4331 7044\n6726 11563\n1066 2639\n3877 7465\n3449 5124\n6301 11406\n1083 4999\n3009 3240\n830 6783\n1769 11545\n5624 6936\n2085 2712\n191 6689\n3209 6339\n4185 10519\n4196 12060\n2076 6111\n1639 2322\n1542 8398\n1756 4065\n3600 4293\n3095 9194\n3267 9830\n2437 11113\n7787 11062\n7451 11321\n4546 5977\n1692 10159\n5467 6055\n2552 5431\n5203 8464\n1274 6447\n1839 4194\n1288 1939\n3813 11461\n1076 10614\n7878 10064\n2882 10399\n460 9864\n5664 8419\n488 6434\n435 1754\n603 5612\n1296 6161\n3194 8865\n8738 11219\n2138 4778\n3788 11123\n1516 8025\n3284 5206\n88 3996\n6031 6607\n1140 4019\n2738 8488\n5485 10827\n8952 9176\n1213 10457\n5154 9422\n3122 5114\n3160 11725\n671 7680\n5126 8081\n6106 10727\n1758 10383\n10393 11041\n6102 9683\n605 6141\n1109 9648\n1890 4205\n1710 2092\n4028 9770\n299 5199\n3885 7458\n1844 6314\n10268 10913\n2130 6341\n3292 3837\n1457 2628\n4974 7966\n6090 7354\n4379 11573\n3520 7324\n4469 8156\n10483 10988\n493 10738\n4059 9825\n4015 8222\n7109 9318\n5143 10646\n9824 11882\n1402 6390\n8454 9357\n856 9987\n3786 3829\n2409 2821\n2440 6048\n6072 8679\n2550 7058\n2103 6023\n36 1908\n4465 9277\n4732 9226\n8948 11430\n5038 7590\n1579 3352\n41 4065\n6570 11470\n1951 3049\n4835 5719\n7796 11461\n1867 8339\n509 8548\n1877 11720\n1630 8589\n3066 5942\n7951 8581\n782 1774\n1196 10334\n5828 8117\n2825 7207\n6214 9076\n63 9132\n1017 4001\n3531 9287\n5415 10128\n3628 6817\n6813 9777\n1251 9153\n6957 9672\n541 11131\n745 11624\n465 9412\n1361 5342\n5369 11476\n9595 12003\n512 10384\n2812 11954\n8640 9925\n1113 9032\n829 6815\n8190 9402\n2388 11360\n1292 4181\n3946 7768\n224 6135\n2822 6832\n6965 11643\n9927 11555\n990 1308\n4987 10954\n1988 2839\n666 8286\n9272 10896\n4056 8821\n7627 11111\n4974 6370\n93 10689\n7109 8569\n7838 9912\n1307 9890\n4830 6838\n4416 6577\n2563 4511\n4612 6675\n1927 9531\n7792 8461\n1389 10696\n1394 11420\n1718 8654\n2264 3934\n60 8388\n4025 9107\n11282 11806\n740 1310\n5973 10558\n775 3739\n5087 10292\n10465 10942\n1243 9756\n1670 2572\n3557 8125\n6372 9815\n1693 9679\n6893 9701\n7078 7995\n5041 6802\n2694 9494\n1356 2491\n1517 3251\n3459 9439\n3780 9649\n4056 9098\n236 11454\n2182 11951\n509 4568\n4893 8585\n7393 8916\n522 743\n1966 9631\n5711 6792\n4261 8305\n1578 2599\n2977 9542\n11688 11937\n2207 3318\n4275 10159\n1910 7916\n5629 11316\n3478 10055\n7844 10863\n6667 11363\n2563 5256\n8326 8499\n2965 6912\n5796 10198\n581 4118\n5361 6189\n77 2283\n869 11252\n3837 9318\n1525 4164\n11754 12036\n1668 10479\n1742 2469\n3495 4466\n3616 4822\n2104 9628\n532 9167\n1848 4114\n97 4063\n3584 10343\n8186 11839\n724 1612\n6538 6803\n3997 8171\n6700 7914\n2658 10262\n5004 7680\n1466 8478\n4210 11117\n2224 5642\n938 8786\n11182 11810\n7742 10369\n3288 5141\n5112 8597\n123 10757\n5544 11104\n8882 11278\n5561 6375\n643 2208\n5511 6732\n977 1604\n1837 5979\n4285 6477\n112 1370\n5681 7124\n2538 7754\n1770 3780\n569 10259\n7969 8146\n6788 9989\n4775 7951\n2843 6215\n1160 4950\n4114 11909\n7670 11609\n6369 10403\n6077 10790\n1719 11351\n1354 6037\n3862 10308\n2679 3034\n622 1340\n5121 9245\n3085 7072\n8257 10931\n767 2627\n4751 10514\n5271 5334\n10002 10326\n8560 9760\n2364 5955\n5365 11653\n5354 10667\n1215 1582\n2726 6242\n6453 6595\n1091 3625\n1744 1817\n3029 5878\n185 11741\n481 11122\n7256 10421\n1010 9243\n1047 5225\n1096 4113\n10010 10594\n1251 11940\n3686 7225\n3186 5165\n4668 8986\n5291 5704\n5853 6221\n7085 11987\n7349 7670\n3564 5577\n2591 4873\n3139 8571\n2190 3370\n3577 11916\n6455 11604\n5859 7214\n2354 7170\n1711 3435\n5274 9681\n9425 10709\n8575 10922\n10151 10467\n6189 7630\n381 6507\n6047 8119\n472 5432\n1972 4032\n3912 9906\n11181 11499\n10149 10485\n1361 11784\n163 4272\n391 8804\n1952 11811\n3819 9106\n4627 5658\n5223 8164\n10418 11718\n7438 9960\n4291 8393\n3070 5968\n2072 9885\n2147 7307\n1546 5056\n1054 5870\n5574 12116\n3901 8799\n315 10530\n5786 6390\n1875 8462\n9187 11431\n5487 10852\n1423 12042\n5429 6026\n2680 4966\n10433 10644\n4885 5429\n5796 7403\n1790 5025\n1615 5597\n9017 12163\n3713 8466\n2170 8649\n7347 9751\n3360 10722\n7015 8136\n8026 9910\n7877 9760\n4599 10364\n5183 8445\n1302 5356\n10833 11891\n2612 11622\n9398 10756\n3366 4293\n6892 9967\n597 1316\n4218 12138\n2208 7897\n7125 9363\n4841 7199\n4059 8381\n2736 7362\n6578 9531\n2932 6763\n9612 11129\n4695 6862\n1163 11732\n2748 6145\n4000 9736\n5793 11232\n6436 12163\n6458 6767\n762 7358\n4686 9224\n6265 9917\n5172 11938\n7660 9735\n2544 6322\n5574 9731\n9252 10178\n296 8522\n6520 7683\n5529 9140\n6724 11225\n6066 10753\n2047 7374\n8209 12090\n3929 7409\n1414 4122\n5455 10431\n1739 9381\n705 4494\n5243 11812\n5387 10717\n1369 10083\n5761 8594\n1803 2126\n1028 10919\n1014 3511\n365 8557\n365 1711\n8209 11223\n1218 5812\n6188 10409\n6073 9729\n8151 11148\n6563 8725\n9523 10949\n2773 7440\n3289 8279\n8243 10849\n4467 5663\n6836 10022\n5991 11810\n1190 6671\n3967 5103\n304 1834\n7945 10075\n5757 9948\n6008 6917\n3145 7717\n1267 1649\n2638 7780\n9637 11662\n4883 10013\n9897 10711\n3095 12096\n3017 10247\n7238 8342\n3931 5882\n1608 4883\n856 2064\n1837 2386\n7270 8419\n5457 7793\n9850 10751\n3747 11370\n4702 8062\n2312 11395\n5632 8773\n9651 11790\n280 8652\n997 11772\n9788 11137\n1835 11621\n3142 11000\n7556 9830\n2541 6042\n4977 5802\n1752 7768\n4458 6404\n2977 10603\n2231 6591\n3515 10391\n4702 5254\n410 2364\n1911 10634\n10710 10719\n1851 1903\n5905 11154\n7374 7426\n973 8332\n8188 8252\n20 1465\n4651 6368\n2288 10785\n3596 9885\n4039 11073\n4378 8882\n1218 10052\n3592 5071\n2705 2808\n2400 11389\n1882 11038\n3753 5346\n5255 11992\n7894 11073\n10599 11420\n3490 11068\n2894 9116\n9662 9898\n5401 5716\n7573 9168\n9420 10169\n281 4213\n4826 11624\n5135 5627\n2082 3001\n6066 7264\n2321 8887\n3376 11041\n7166 9318\n277 846\n3573 8726\n4013 11793\n5816 8529\n11913 12178\n389 11278\n3203 6649\n695 7004\n1554 11575\n41 9032\n3933 11263\n3822 8226\n4518 6620\n3246 10474\n4869 10417\n4211 8169\n2725 4651\n6693 8161\n1096 2022\n3556 8419\n3954 5142\n2876 3069\n7221 8734\n5040 6193\n139 3205\n3669 8305\n3622 6509\n3689 11469\n7355 10919\n8067 8684\n146 7518\n1192 9280\n3885 9087\n5820 6022\n1439 7462\n3379 10165\n2020 4117\n5711 11657\n588 1270\n10184 12041\n469 8893\n6715 9627\n2292 7133\n464 5950\n5059 10441\n10240 10691\n5399 9502\n4347 7772\n182 7612\n766 6185\n4520 11997\n8088 10886\n1257 2844\n4449 6660\n4586 10970\n7979 8228\n2749 3689\n9836 11324\n5746 8506\n3668 11926\n404 9158\n4942 9156\n9791 10052\n7565 10606\n2778 3947\n1855 6441\n3854 7972\n7494 10155\n2059 4611\n5300 8542\n5392 8858\n1173 5794\n4398 8924\n3191 6338\n7903 12088\n436 10497\n283 355\n7308 7487\n548 2097\n2856 3160\n2929 8211\n4694 4875\n143 3191\n1948 4677\n1235 3778\n4744 11240\n5332 11989\n9963 10400\n1652 10929\n1917 8743\n5108 6718\n2914 11257\n6154 9596\n2734 9498\n507 5484\n855 7635\n10061 11494\n10239 10577\n1186 9976\n3079 10394\n193 5775\n9179 11403\n1187 6881\n747 2232\n8946 11300\n5715 8949\n10911 11952\n377 558\n4597 6954\n1408 10384\n5256 6162\n625 5092\n3001 7056\n2796 7388\n7850 9843\n8459 11950\n5709 6999\n2342 6030\n2693 4018\n10180 11821\n6972 8712\n3105 10750\n755 7303\n2523 5296\n2464 7010\n8972 9087\n4734 6103\n2846 9038\n5751 8777\n816 3364\n4019 4968\n224 2185\n1967 10105\n9071 10148\n8074 11351\n5874 6396\n4248 10500\n1304 5675\n609 5609\n6417 11631\n1666 2026\n1286 7195\n2302 9016\n9359 11345\n1522 6339\n409 11383\n1430 10560\n553 7645\n3667 7878\n2879 10458\n1226 2460\n7857 10189\n1767 1915\n1267 1605\n3943 12026\n450 6896\n7843 8863\n6440 10396\n9363 10609\n4038 8727\n3045 5983\n3277 8227\n7838 11497\n2699 9033\n10333 10815\n6832 10645\n5308 5901\n1614 11990\n688 8749\n44 11105\n9613 9899\n11852 12129\n2642 4509\n669 10933\n1203 2787\n3575 5303\n3896 7576\n1016 4023\n2126 8933\n4045 11740\n6530 7543\n8604 10775\n3697 7016\n2012 5864\n7830 9658\n2344 5043\n3347 8201\n10191 10884\n6100 9125\n2735 7530\n6398 7155\n6154 12183\n9784 9869\n1496 2932\n136 12027\n4948 5675\n2508 10165\n9463 11662\n1370 6060\n934 4996\n7677 8211\n4920 8044\n3755 4507\n9200 10795\n4256 11440\n9545 11761\n6515 7477\n6952 9963\n6424 6700\n4814 7907\n994 7851\n6822 10190\n6057 11553\n354 11802\n5431 12127\n1503 3652\n2715 10805\n598 1342\n5318 12069\n8836 9297\n6591 6722\n5170 8843\n6689 11253\n1770 10553\n1814 8720\n4999 9804\n5338 7816\n3497 9453\n6150 7893\n7326 8654\n4952 11745\n4558 11754\n4144 7141\n9324 10348\n424 8174\n6344 8048\n2160 4042\n2091 4798\n8348 11693\n216 10445\n287 11812\n2173 2196\n3173 11946\n4125 9608\n3863 5443\n2882 11646\n3761 11151\n1271 9082\n4157 10121\n125 10631\n7653 10630\n139 2857\n1804 8486\n4083 4389\n7145 9119\n3444 4606\n3043 10764\n4083 8357\n6029 8648\n2542 4711\n5634 6349\n149 8448\n835 6035\n49 7686\n5981 7902\n7842 8973\n770 11581\n3696 8409\n1329 11873\n6738 10142\n7905 9670\n2866 7116\n7629 7725\n6051 6889\n503 4856\n8409 9869\n268 445\n214 4209\n1077 2303\n703 6851\n1904 5645\n1219 5768\n1014 6181\n4839 8172\n1236 5724\n660 702\n1380 3676\n166 11609\n3581 5388\n1891 10127\n7731 10518\n1521 11372\n4668 10795\n8376 11097\n3471 10769\n3346 6414\n1710 9134\n2468 8400\n1085 11354\n1578 1891\n5352 11141\n2548 10756\n2459 10017\n2043 3643\n6743 11301\n6370 7793\n2955 8030\n7681 8390\n1980 11476\n2567 2690\n8557 9329\n204 5514\n2437 6388\n3509 8974\n3728 10338\n2352 11427\n5203 10929\n284 7886\n4850 6083\n6 154\n2074 5142\n966 11353\n7540 8662\n792 1841\n2714 7585\n2887 8870\n2844 11344\n3571 8106\n6710 11120\n717 6372\n5196 8045\n2112 5220\n2858 3299\n2408 6656\n2067 2210\n8062 9272\n3438 8675\n8408 8851\n279 6266\n1934 6860\n8361 11680\n6025 7128\n5695 7148\n325 7669\n666 11207\n2256 7182\n3480 9311\n5335 7566\n2177 6609\n1272 4507\n918 7360\n3947 6392\n2076 9284\n7790 10177\n3467 4775\n2405 11327\n4481 5001\n10056 12044\n3821 3847\n6334 8446\n6831 12127\n2936 9282\n7998 10415\n2781 3713\n890 3081\n7934 11058\n345 11136\n5150 7815\n678 1767\n6174 8587\n6810 10690\n1094 5795\n1063 1714\n7168 7295\n4747 8709\n4672 7848\n2643 7157\n5604 10323\n1627 7031\n5056 6952\n3801 6689\n6273 11333\n2501 11414\n1827 9152\n3283 5388\n731 1069\n2633 9268\n8091 11828\n5462 9335\n2173 6591\n309 12111\n2887 9461\n1100 4949\n1142 9215\n8992 12101\n6326 10718\n4338 9826\n4065 6675\n11247 12127\n214 3248\n1514 2423\n5668 10086\n9605 11403\n5495 7051\n432 2023\n9566 10377\n979 6132\n4676 6500\n1703 10708\n4487 6882\n4423 10729\n6174 6281\n2304 9305\n1840 4982\n2426 10350\n4461 7229\n8351 8689\n1347 2218\n1234 11319\n6946 8318\n6586 7680\n2801 2854\n578 1406\n2498 7515\n2072 2221\n4940 8349\n1227 11285\n2445 4316\n101 3953\n3342 11460\n7647 12165\n3057 11158\n2114 7785\n7064 11181\n2537 7272\n1877 3005\n3700 4473\n889 8623\n3671 4566\n391 7433\n5154 6412\n569 1090\n123 4495\n6860 8863\n5426 5593\n7772 9437\n3773 7194\n3134 6940\n5184 8813\n10354 11894\n7449 9019\n6151 8138\n43 8232\n1191 9668\n3456 6969\n2398 4838\n4022 7911\n1099 2852\n7301 12154\n3503 5223\n3146 3362\n1094 9220\n3296 7156\n6745 7629\n252 11105\n6048 9910\n2569 10862\n6975 10797\n3500 9161\n725 4872\n202 2099\n8349 12068\n601 7225\n6801 10523\n3010 5487\n7310 8241\n5469 6792\n3980 9270\n5476 9800\n2621 9776\n4263 11345\n5844 6281\n3809 4550\n2326 11987\n5331 11127\n5604 6260\n3897 10088\n3920 5033\n2526 4487\n2519 11268\n8234 10652\n2237 10648\n176 6736\n721 5059\n3575 12112\n5452 8723\n4123 9216\n6609 9128\n2154 3696\n3324 10804\n7304 8797\n1124 9595\n6060 8528\n8596 9756\n3662 7918\n2885 5589\n5292 8346\n3213 10609\n4588 5892\n31 11311\n1926 10556\n4369 4637\n2014 9399\n1761 4051\n9756 11074\n5672 11829\n5327 6792\n5220 9270\n5249 8959\n1105 4980\n6037 10975\n7518 11559\n4064 10408\n440 7168\n1004 7197\n4817 4994\n4898 10152\n3993 4032\n5981 10911\n4305 8321\n3360 7944\n4047 6157\n10102 10722\n3730 10652\n743 1614\n2332 2734\n675 11119\n7730 8556\n2570 11105\n6722 7617\n9174 12112\n1633 6067\n2186 6861\n482 8429\n6958 10390\n1516 9931\n849 977\n4219 9672\n5145 10432\n2366 5892\n8295 11002\n4240 8921\n589 2262\n639 10851\n2139 7152\n880 3881\n782 10645\n1798 2552\n8162 11668\n608 9747\n1954 2926\n1917 4026\n4077 11132\n2918 3196\n9422 9980\n6288 8222\n5752 9700\n20 2698\n9296 11527\n2528 9584\n1813 9987\n3866 7824\n7361 8415\n9342 9926\n3497 11395\n1761 10144\n2232 8415\n3405 10355\n2966 6266\n557 11843\n627 11903\n1435 8468\n6493 9944\n899 11043\n4942 9776\n4998 8413\n7254 7669\n181 448\n8721 9760\n8744 10600\n2777 11656\n9 1194\n1234 2546\n9585 11267\n41 5344\n3260 4360\n5317 5452\n1215 8353\n6949 8052\n4261 5939\n9244 9854\n4159 7269\n2345 5207\n5595 5777\n1902 10090\n5835 8416\n2500 9094\n3634 7951\n4150 9793\n6880 11794\n7765 10388\n3666 11860\n3007 3782\n4144 7979\n1016 11092\n6829 7790\n96 196\n753 9744\n5483 6341\n2290 11515\n1762 10987\n3491 4864\n7905 8261\n583 5464\n973 9496\n2177 6641\n959 5443\n8610 9573\n1070 9064\n238 11230\n1513 10794\n1489 3210\n7099 8964\n528 10349\n7053 8182\n4067 11649\n6181 10526\n2376 9512\n3400 7232\n857 7125\n2983 6296\n2345 11551\n3437 3975\n1600 11325\n3179 10478\n619 7548\n5228 7089\n3660 5985\n6710 6740\n417 6422\n6995 10785\n2525 8589\n458 4079\n2854 4918\n2768 5052\n4859 5520\n2882 4229\n2706 7507\n4790 7682\n273 3117\n1363 11475\n2801 5894\n7146 10092\n4367 11363\n2914 12045\n8468 8589\n541 2873\n9404 10819\n1028 9599\n6498 7179\n9566 11236\n1304 7815\n7732 8983\n11664 11937\n7000 7991\n4309 9026\n3845 8857\n1739 10927\n5303 8733\n10344 10394\n10963 11949\n1532 3965\n3523 7264\n3321 8170\n94 2809\n1559 8977\n5569 9209\n6115 9128\n879 10910\n9106 10479\n5301 11870\n1472 2054\n10882 12028\n6888 8912\n9240 10199\n653 4293\n9534 9840\n2619 5815\n3741 8337\n7523 9323\n6900 10934\n5771 8399\n5207 11576\n4946 10657\n4040 10605\n11212 12088\n6650 11203\n808 3691\n1711 7183\n8018 11839\n3415 7997\n10022 10303\n511 7981\n4462 5332\n2323 5528\n2328 4545\n7164 10757\n3805 10310\n712 1739\n1949 10629\n6185 11613\n5643 10905\n7018 9428\n7955 10810\n125 8771\n804 8249\n11152 11699\n1043 3266\n1933 2736\n4309 11610\n4335 11271\n6934 8697\n8101 8873\n3194 11612\n6945 7251\n616 10416\n2373 6836\n5916 8731\n727 7707\n7962 9311\n7738 8277\n7899 11689\n4839 10454\n2625 10196\n2057 8630\n2207 7332\n2788 5777\n3743 4986\n5213 5506\n1295 4535\n10846 11759\n2971 10250\n4323 7224\n3538 8953\n5065 11756\n521 9770\n3687 7876\n6265 9436\n504 2445\n1593 3210\n6906 9441\n4201 11632\n7654 9682\n10829 11674\n9468 11820\n5509 8559\n11494 12003\n9633 9731\n5116 7507\n6457 6696\n5179 10759\n1946 6250\n4227 5700\n3052 7412\n2423 7775\n2684 7210\n2048 5897\n3755 9997\n5664 7733\n4481 8390\n4213 11033\n1105 1212\n5515 6222\n180 455\n2899 3214\n7049 8834\n1696 4273\n1347 5501\n1750 2687\n7548 9830\n4347 5193\n2389 4890\n1346 8226\n336 6365\n2527 7564\n9539 11181\n8649 10941\n2441 5984\n3989 9014\n528 8059\n1819 8958\n1993 7698\n5282 12114\n2307 5872\n7693 9305\n2053 2917\n1419 3171\n11076 12038\n9324 11002\n2818 6859\n5939 11742\n1954 1982\n5229 7020\n3019 7057\n4401 11750\n6825 7944\n488 978\n1245 4313\n4327 10101\n458 6743\n2760 8521\n5692 9677\n992 6837\n7340 8750\n9182 9683\n9247 10262\n79 9649\n9469 10149\n8985 12106\n10834 11062\n829 4894\n8049 11792\n5500 9884\n5785 9772\n567 11846\n968 8404\n9700 11062\n6976 8375\n5829 10420\n6447 10658\n1015 11246\n183 8020\n5927 7911\n448 11336\n4648 10786\n818 9941\n2598 3572\n828 5633\n9057 11599\n10012 11558\n239 2814\n9689 10761\n126 6682\n5834 10660\n7549 12190\n4129 6977\n7845 9392\n8399 10283\n535 4461\n1085 4424\n8805 10879\n94 10918\n4719 8446\n6012 11106\n5623 5669\n3702 10846\n5701 9261\n7269 11547\n637 1462\n3650 10868\n3162 5696\n8415 12040\n144 7416\n3279 4265\n8604 10741\n5825 7344\n5505 8674\n2942 6832\n1786 1913\n220 2307\n9047 10308\n666 7909\n6305 8081\n2546 4718\n1266 3734\n2298 11197\n436 9739\n1551 6058\n5240 6626\n7429 10715\n1500 10575\n6406 12178\n6247 9957\n2568 9714\n3685 11341\n756 9426\n1505 7127\n1590 7133\n843 9522\n991 9058\n2024 2995\n7103 8690\n7090 10891\n9803 10899\n1693 10294\n5299 7202\n2287 9447\n3205 10605\n2333 4737\n6322 7924\n4334 5853\n2897 9856\n1971 10276\n928 6042\n10541 11729\n7967 10207\n3622 9171\n1691 9988\n2678 4885\n5229 8075\n6386 10976\n1787 11195\n4368 8475\n3787 9232\n2322 4559\n1695 7244\n7082 10583\n9620 11142\n3607 12117\n1293 9236\n2352 3717\n8152 8811\n2679 5334\n4125 5956\n8440 11917\n9822 10973\n9398 9798\n1082 2299\n1886 2805\n6795 7221\n2573 5111\n4903 6827\n3672 9773\n91 7974\n6979 11750\n6048 11883\n1959 3170\n4323 9095\n6376 10072\n8681 10220\n9669 11684\n3177 8995\n3652 5471\n8304 9939\n10777 12042\n2203 11972\n5362 8745\n1749 7029\n1011 11297\n5989 10005\n4109 5210\n3303 10891\n1293 6605\n1587 6023\n938 7540\n1768 5787\n10316 11006\n4101 4191\n5261 6360\n7661 12143\n1298 3459\n574 10082\n357 4792\n1872 4880\n9171 9659\n10893 11923\n641 10141\n1936 2289\n917 2693\n2817 10654\n2669 7076\n8408 11330\n3795 11253\n9983 10536\n8892 11890\n1223 6180\n6488 11632\n3334 10322\n9210 11445\n9204 10981\n3686 6934\n7167 10750\n2139 6487\n9049 11060\n932 3002\n621 11404\n5548 6617\n4012 7778\n378 7190\n1076 1142\n3940 8565\n106 5602\n3537 11060\n2665 7661\n380 2201\n2163 5619\n4704 7323\n4421 9857\n7201 10034\n3206 10962\n8605 9812\n4399 7243\n336 9638\n4104 4607\n6928 8193\n10655 11231\n3941 8365\n7543 7999\n5878 7363\n2484 8789\n534 7063\n4713 6112\n1994 5228\n8907 11975\n2062 8342\n6612 11333\n5429 7096\n418 4809\n2303 9646\n7301 11999\n4204 7534\n5573 8551\n1875 3440\n9087 11642\n2346 11774\n1273 7134\n5446 10036\n3751 6863\n5474 10298\n1258 8991\n4438 7113\n938 950\n4542 8252\n770 7042\n4771 9980\n2702 7609\n654 7002\n3781 4926\n9752 11890\n222 4636\n6207 8743\n1688 5582\n9314 12118\n2575 10369\n5245 7948\n3529 4387\n4729 9301\n3278 8183\n9408 11862\n6042 10259\n2020 7978\n3520 8156\n9784 9885\n271 4559\n4979 11999\n1410 3254\n1445 3780\n1984 7257\n6223 9851\n2007 6414\n1141 10767\n5910 11945\n5467 6245\n5363 9741\n3490 11152\n215 4954\n4043 8477\n6955 8084\n2407 6945\n408 1182\n90 8076\n3718 5135\n5301 11452\n311 5593\n6366 8751\n1732 5617\n3967 8982\n4340 11889\n3342 10084\n2927 8558\n1941 3374\n3402 5557\n2223 11258\n5301 10827\n2070 10948\n2533 7412\n2498 4298\n614 4918\n984 6508\n758 1776\n1885 9872\n914 1038\n1060 10286\n3127 10796\n3030 9765\n3763 5066\n3073 6476\n2491 7336\n3038 11215\n8085 8516\n3372 5822\n4746 9293\n5696 6286\n5695 7669\n6536 11757\n4097 7731\n736 8402\n3482 3524\n2852 11114\n3835 11097\n6221 11778\n8961 11532\n4365 10247\n2863 4575\n5391 6982\n572 2007\n3186 4867\n201 1918\n1522 7489\n1487 7605\n2892 6863\n4742 5348\n6122 10117\n8866 10561\n486 9766\n2365 8648\n219 8512\n6461 11890\n2710 7628\n4320 7941\n3797 9007\n3349 8104\n1602 11937\n2913 9164\n5795 8224\n2857 4883\n8569 10276\n10539 11147\n3017 5195\n5221 11381\n323 7741\n9504 10013\n7123 8442\n5627 11677\n1038 2629\n265 3218\n2931 3261\n174 8885\n1626 7597\n6165 6483\n1340 5357\n1855 3029\n6563 7688\n6198 10873\n214 846\n5448 8113\n4786 11997\n2488 9722\n8270 11259\n552 2410\n6638 6968\n1734 3421\n5018 10489\n1808 6501\n1849 11943\n6995 10667\n1528 9635\n5392 12073\n2337 10876\n405 11072\n213 1523\n3258 6399\n6042 7713\n2725 5098\n5435 5596\n439 1852\n9187 9197\n2222 3142\n7655 9827\n9421 9975\n5801 11204\n3256 8452\n9444 10573\n7776 11108\n4136 8342\n6455 11136\n2044 6700\n6405 12061\n8378 10087\n4090 12038\n490 7324\n2394 10624\n4430 8265\n2931 7788\n1768 6509\n6530 8227\n4849 5696\n5342 11575\n284 3940\n8970 12189\n3555 6643\n3824 5572\n2239 11707\n2626 6282\n3115 5834\n2820 11892\n3947 6201\n5017 10176\n7392 11021\n2057 8109\n777 3237\n1686 4642\n5546 8476\n10620 10919\n3548 7958\n273 2941\n9850 11103\n7698 11601\n795 11947\n7173 7831\n2434 4330\n6336 7990\n2535 8854\n2512 4383\n20 8181\n591 3175\n4220 6720\n1498 3966\n1414 1516\n3247 8091\n10451 10736\n7632 7653\n4159 7576\n5883 10520\n5444 6817\n5539 7415\n18 5419\n8789 10041\n3074 10048\n3274 4473\n1156 3681\n2717 5421\n7054 10063\n1251 1411\n6668 11055\n487 6785\n2217 2879\n1150 8085\n5359 7616\n5916 6626\n3378 10183\n3180 7132\n3677 4722\n4998 6490\n2067 6506\n332 347\n3956 10791\n2554 8075\n2240 11409\n4609 10825\n9598 10872\n4567 10199\n2195 10043\n5342 10714\n2099 11525\n4949 6137\n5529 10817\n5482 10436\n4203 6941\n1225 3318\n1292 10452\n4375 5003\n4683 10038\n2060 7514\n6374 9261\n4098 10480\n8777 10331\n6542 10328\n6135 9251\n5938 10634\n267 10771\n5957 8739\n5712 11190\n8970 10453\n5061 11031\n716 10149\n6436 8039\n4087 10889\n826 11992\n857 3317\n3817 12022\n4368 11179\n4518 7581\n7452 9005\n6296 9777\n1977 4313\n4418 8289\n7124 11296\n882 5720\n3330 4927\n1013 8978\n8779 9576\n3950 7267\n7513 11949\n6549 8071\n9232 9974\n12 11623\n517 9899\n5805 8286\n3835 4178\n1226 6110\n303 7296\n145 8451\n3919 10835\n1363 7919\n562 10757\n6618 10265\n8969 10950\n7522 7902\n2271 7281\n7495 9964\n635 9674\n7386 9920\n8868 9158\n1829 2421\n3122 3850\n7 8751\n2828 9430\n1552 1852\n1020 3357\n8641 9933\n5639 10896\n2346 7828\n3106 10420\n7061 7477\n967 1297\n1488 5149\n8127 10789\n6242 8745\n2007 2123\n1983 3693\n5200 8964\n959 1261\n3136 10970\n4404 7815\n7212 7640\n2499 3042\n4450 5950\n1601 5038\n524 7556\n4916 5081\n1411 1514\n5273 9457\n2189 9079\n10562 10949\n5500 11131\n3965 6927\n1223 11997\n4559 7504\n795 11662\n1767 8303\n8959 9314\n7117 8957\n4241 10351\n4633 9863\n9360 9877\n5064 7974\n1179 4828\n3341 5971\n2707 8960\n2713 11357\n5840 7022\n4841 9916\n10227 10357\n4993 10174\n1532 6038\n5991 8001\n8840 9205\n2534 9587\n410 1108\n9164 9899\n2055 7542\n2437 6879\n3501 10880\n2843 3644\n7000 8814\n372 8401\n841 6700\n540 6524\n7370 8623\n299 11301\n43 6615\n1891 4126\n3801 11070\n5954 7529\n2840 5341\n2170 11328\n2715 9674\n3346 3383\n11144 12191\n2832 3020\n6230 8710\n3759 4727\n6079 7595\n2269 7911\n729 5376\n8296 11777\n824 3837\n10498 10807\n49 10304\n9765 12139\n4371 12082\n1572 4760\n6652 9565\n7419 7716\n9071 10685\n4843 12160\n3786 10202\n2366 8888\n6326 9820\n6632 7883\n476 7996\n4501 7441\n5092 9940\n5971 6505\n1020 10379\n420 9135\n9885 10772\n3868 10445\n7561 10799\n964 2132\n7885 8441\n200 10218\n4003 4064\n1406 10065\n3441 7897\n2540 11987\n3389 8934\n973 6496\n1534 10326\n2843 6571\n10817 12033\n1089 3261\n2299 11663\n1162 3875\n7984 10934\n5897 10994\n3327 3653\n2163 2187\n3403 5398\n8234 12151\n9469 10781\n339 2540\n1030 9951\n2101 4490\n3122 8245\n984 12040\n4057 5094\n8936 10077\n2064 4700\n9342 10777\n1483 5767\n5386 6231\n463 9032\n3530 9266\n6476 7920\n2974 8052\n7169 9257\n6670 9614\n5396 6676\n708 8948\n845 11322\n759 10063\n2124 7204\n3311 7263\n6746 6965\n7066 12066\n9128 11215\n3337 10351\n3521 5969\n9466 9891\n1455 4100\n4915 9316\n1813 2376\n2070 11257\n2575 9038\n1519 3460\n6817 9004\n2344 10204\n7589 10156\n2445 3470\n8670 9600\n199 1217\n5895 10034\n7128 9162\n384 8118\n1049 4593\n558 7144\n5759 7735\n4668 7164\n1572 8582\n1231 1660\n5110 9603\n4546 10216\n8392 10243\n3952 8569\n1060 8296\n7053 8108\n7981 10092\n771 9081\n9482 11532\n6794 7536\n4716 5623\n4507 11544\n485 1913\n239 4294\n465 10566\n6917 8178\n5293 5408\n225 2632\n381 11928\n1648 3369\n10148 12195\n5050 10228\n4331 9668\n1912 6796\n2102 5053\n3978 10074\n3401 6454\n9521 9970\n3005 11254\n8769 11399\n104 4920\n7446 7459\n1990 3723\n2734 6238\n2487 10013\n111 3033\n8189 9853\n6050 11502\n3132 5050\n3365 3913\n2419 9266\n3823 8863\n2744 7725\n2537 9539\n1529 2356\n1589 4562\n2933 3890\n6265 9204\n6858 11620\n1177 11592\n5703 11889\n6272 6599\n9090 9144\n7594 8517\n1590 6188\n3266 9478\n5245 8717\n5585 11996\n983 10913\n1008 5621\n6883 10094\n4313 4502\n4865 7564\n4415 10235\n713 5695\n614 10403\n7230 8022\n5086 5773\n4278 9344\n4286 8673\n580 5929\n10762 11703\n9320 9856\n3731 4113\n2652 6499\n3684 7407\n5233 11755\n1755 10941\n427 3337\n1335 11287\n5491 11916\n27 7312\n2042 6682\n4050 6718\n9094 10350\n8772 10940\n8255 10750\n2051 10828\n1757 10693\n2755 4164\n7000 10439\n4818 11163\n5463 11316\n1108 9701\n4229 11028\n681 6477\n6785 7907\n8149 10999\n8207 11838\n7512 9800\n781 11043\n6543 11833\n6195 10939\n6745 7896\n4208 10895\n3585 12127\n5830 11726\n267 5428\n3856 6662\n3376 7837\n4464 6298\n7314 9975\n772 6050\n3312 4391\n408 8814\n774 5496\n1238 7385\n581 3752\n2061 6356\n4150 8998\n4077 5989\n524 7791\n2319 9961\n5829 6718\n1463 4496\n6588 8072\n1692 3938\n9520 10436\n6843 7934\n2583 8471\n1496 2034\n4912 9328\n4828 10944\n4505 5649\n3335 6064\n8303 9410\n2888 7498\n481 6519\n6407 11608\n529 8014\n3223 8713\n1216 5196\n2726 11178\n1096 1553\n6141 6481\n1772 3761\n2012 6374\n2116 11388\n3178 10224\n1647 8147\n1709 6155\n8147 9163\n3198 8746\n6580 7215\n4581 5459\n6579 9643\n2582 4196\n3458 10963\n2743 2873\n1843 5387\n3855 11658\n1629 4382\n1923 11574\n7617 11845\n7772 8706\n2963 10044\n2590 9924\n1866 9419\n10666 12187\n6205 10596\n226 11784\n7141 7611\n555 9307\n1403 9038\n11085 11344\n5383 10087\n1340 1706\n9008 10354\n3300 8380\n1132 7186\n2649 10204\n1342 10319\n2949 3263\n3147 10477\n3425 8022\n5191 11311\n3363 10040\n6817 6933\n3836 8693\n5145 9969\n709 1165\n2416 3340\n2295 7203\n4683 7380\n8331 8353\n5985 11302\n6885 11373\n1374 6876\n4752 11488\n2421 3600\n1020 10526\n1619 7940\n10251 11252\n9796 10595\n6062 11946\n4466 11831\n263 6590\n4823 10180\n7485 11409\n1567 9813\n4346 10653\n1067 11667\n191 902\n3331 6335\n1500 9955\n2214 6589\n2282 12029\n1700 3151\n7585 10140\n1711 4889\n230 680\n3156 8709\n451 8632\n5329 6528\n4327 6668\n7238 11082\n9212 12196\n4472 9497\n3821 6451\n7213 10189\n10490 10853\n6380 11617\n6459 9274\n4893 6996\n1910 5236\n6620 6670\n5093 7299\n2933 7308\n8177 8973\n617 3496\n265 7082\n3045 8383\n1327 9863\n8431 10985\n1711 2834\n6021 9570\n5632 9535\n5546 11768\n267 5958\n4902 5200\n732 1612\n8815 11831\n7266 7404\n10443 10739\n3815 8031\n1979 7181\n4070 10216\n5993 9072\n29 3664\n1350 3927\n1590 10803\n3711 5000\n5713 10464\n1422 4090\n9108 10079\n6275 9339\n2636 8482\n10952 11212\n2294 5487\n11315 12193\n216 11413\n283 10340\n1741 4495\n5488 10853\n2769 9913\n436 4812\n669 3766\n2848 5171\n4417 4973\n7099 8165\n1360 5468\n2158 8551\n9372 10704\n1921 9465\n6646 6782\n2590 6873\n1492 9404\n593 1213\n9895 11539\n3219 5697\n1304 6923\n1158 1220\n1095 1847\n2642 8379\n9091 11591\n2074 8310\n2047 2240\n3749 9538\n8997 10429\n8256 9150\n3640 6014\n4296 5250\n4618 11809\n3044 7496\n10528 12056\n10254 10893\n5957 6405\n7119 9498\n5045 10803\n389 2001\n2046 9004\n4019 4970\n5386 7061\n1428 11720\n6565 7240\n283 4020\n170 8372\n9635 11392\n4579 8865\n4910 7069\n2028 8352\n4010 10939\n8226 10473\n5372 6330\n6480 10019\n6040 7627\n293 1695\n11484 11735\n8388 10668\n1811 6148\n1412 6724\n921 3628\n592 2573\n3712 7515\n3480 4997\n10507 10770\n3222 10516\n6661 6799\n2798 8621\n5238 7930\n3915 12036\n6615 11906\n6432 6649\n3460 9507\n7127 11389\n293 4825\n425 11047\n3276 12088\n7395 7940\n1287 11425\n5664 8622\n626 2647\n2549 4125\n6202 9115\n427 7061\n4418 6031\n2519 7891\n4354 11007\n9070 9650\n1328 7404\n2019 7632\n1885 2447\n8127 10290\n409 4301\n1683 8993\n5691 9560\n1550 10437\n5989 7769\n2813 6361\n1665 9355\n6668 10002\n6088 11115\n757 2419\n6190 9696\n4067 5226\n2653 11674\n4626 11706\n5958 10119\n6579 7076\n8161 11696\n5743 8587\n11123 11625\n69 10730\n10932 11592\n7623 9296\n8940 11795\n2686 9394\n6391 11690\n3649 10485\n9765 10092\n242 1457\n1985 4089\n3554 9835\n180 1706\n1233 11565\n5637 8905\n4957 6637\n2245 4170\n3560 11266\n6819 7284\n5534 7446\n4752 9680\n2384 7785\n3704 3837\n3001 10932\n768 11090\n2176 4978\n9049 9177\n3457 3768\n3571 6536\n260 7853\n3879 11980\n282 4300\n5778 11169\n11013 11135\n894 2683\n7641 8844\n2421 9096\n5371 9418\n2048 9495\n4084 7335\n2284 2305\n9171 10460\n10606 11659\n580 7714\n7427 11385\n4108 8847\n1401 6752\n4951 12101\n1052 3813\n9707 11819\n834 9831\n5201 9329\n6880 10459\n8297 11109\n5391 6455\n6860 12016\n3074 4349\n868 8253\n386 5248\n1903 9856\n3876 4244\n7058 11366\n4596 10234\n5909 8904\n8806 11207\n2662 2731\n6246 7392\n3339 6931\n4846 11791\n5251 8853\n11 7160\n5474 8665\n7159 10786\n6986 9546\n2182 5044\n3067 6921\n9937 10320\n4000 7636\n772 12169\n3289 10107\n1668 3679\n753 9095\n2217 8659\n5314 10179\n3528 8792\n7806 9348\n58 11486\n2890 3481\n6281 8357\n7574 9860\n3339 5060\n1654 9193\n6924 10584\n413 8276\n7715 11971\n1693 8638\n3889 11015\n3699 8461\n4446 7506\n6871 11108\n1159 9839\n2813 6724\n4577 10989\n3601 4948\n6014 11372\n11830 12173\n3597 8358\n242 4264\n1389 2881\n6022 7841\n5234 9807\n1278 2003\n4331 4493\n3565 11445\n7189 10759\n10076 11632\n4291 4802\n1274 1991\n5166 8341\n9419 11801\n4183 6620\n6220 8982\n517 2677\n546 4784\n2474 9401\n573 12093\n2839 9395\n7016 12191\n6699 8238\n8658 8898\n9912 10081\n2197 7542\n7695 9495\n995 5426\n7576 8126\n8360 11994\n7846 11081\n2759 11750\n812 12163\n7008 8812\n7472 8773\n8751 11324\n6384 7431\n1568 3082\n7599 8481\n2331 10704\n5155 12001\n6015 9802\n3966 8380\n4348 6802\n4723 7425\n8086 11359\n9440 9714\n2387 11095\n1662 11534\n208 2498\n273 6007\n1709 6015\n6772 9164\n3276 8639\n2346 3163\n7534 9880\n4290 5341\n5798 11114\n4848 10329\n4368 4371\n2558 11074\n1984 11391\n114 2148\n8440 11069\n8748 10813\n9524 11244\n10184 11748\n2052 9238\n10206 10451\n8469 12137\n6510 9415\n3882 10086\n2431 10719\n8479 10433\n3079 10365\n3601 4777\n10349 10866\n2777 10800\n4382 6245\n8501 10244\n4788 11137\n2888 5316\n6565 8476\n5727 8425\n2907 5779\n7226 10407\n3812 7359\n5768 10658\n6897 11200\n2659 11697\n437 951\n4774 7123\n441 9893\n5084 9920\n5534 6343\n974 1175\n7886 10849\n3364 10480\n11111 12051\n9101 10120\n4998 12015\n6737 8751\n6315 12163\n853 2484\n1219 9947\n1980 8794\n1056 10719\n5813 5829\n7678 9139\n2783 6653\n4610 5696\n1092 6992\n1059 11541\n1888 6908\n4796 8361\n7606 8675\n2487 5731\n1250 4096\n8299 9980\n988 6456\n1530 11451\n10548 11020\n1731 9784\n4563 9067\n1460 2998\n5421 11546\n1295 2355\n2286 7063\n7301 11780\n2366 5291\n5081 9413\n939 5906\n9131 9620\n1242 6941\n613 7053\n5716 10048\n2807 6296\n6881 8298\n4897 11651\n4941 8420\n2462 4119\n1434 1787\n1332 9708\n9248 9990\n3561 3969\n7024 7173\n7008 9702\n2660 11679\n4077 9279\n6501 11281\n811 3873\n5683 7661\n4879 9500\n4481 6988\n33 9843\n7253 9319\n946 2154\n4253 10718\n11133 12055\n3067 11333\n1526 7526\n7306 9009\n5610 9298\n7148 8591\n568 4242\n5931 10332\n8033 9277\n4982 6601\n7148 10694\n5461 11350\n5483 6458\n5254 10310\n6820 9129\n830 11263\n1059 4336\n2950 3139\n2717 5689\n5929 10979\n2489 8587\n7431 7479\n6726 9298\n277 6005\n1517 7852\n7360 9959\n3804 8609\n9934 10443\n594 1454\n478 9170\n5542 8736\n5947 7763\n4319 6900\n9660 11771\n7674 11274\n5659 10178\n1667 11629\n3511 9654\n6075 6760\n1763 8091\n2163 6193\n4017 7692\n2532 9990\n151 10808\n4248 7848\n505 4164\n5508 8280\n4092 9240\n3035 8910\n3522 9590\n7081 11857\n6749 11806\n6675 10562\n6239 10080\n8619 12174\n3749 6595\n3868 5595\n3549 9302\n2979 12067\n4385 7159\n4441 9653\n5219 9723\n9784 11673\n7816 10027\n8242 8892\n13 8959\n9167 9927\n791 6822\n2632 12008\n6050 9392\n8670 9657\n1085 10679\n369 6877\n4045 6459\n5307 9889\n123 1731\n1829 5969\n2753 7702\n2500 12042\n6391 6982\n1005 2370\n1574 2624\n4921 5854\n3750 10618\n5390 5692\n1673 11279\n2315 12043\n3277 10559\n4858 8505\n6733 8176\n5462 8574\n3115 9032\n3943 5825\n8633 11939\n2983 8945\n3956 11212\n3055 7790\n4226 10522\n4596 6155\n3019 3917\n3802 5558\n922 4162\n900 9505\n4762 6571\n3899 7607\n8856 9692\n1601 6289\n1237 3908\n4124 8691\n8557 11187\n11100 11355\n1985 5234\n9570 11711\n2639 7386\n70 5870\n928 7529\n593 5562\n6713 11170\n5538 8694\n7200 9294\n2091 4797\n5516 10760\n5444 10410\n5976 7546\n7578 10634\n7005 9576\n1232 6412\n5093 7242\n1104 8218\n1277 2850\n117 3089\n4656 10587\n721 10217\n7155 11069\n1404 1751\n5464 8328\n899 4897\n9501 11036\n1688 10585\n6219 7138\n4437 11087\n10295 12076\n3162 6191\n3464 9332\n2636 8903\n6623 11687\n9627 11771\n712 7955\n1602 8371\n1891 3799\n5248 5491\n3701 5281\n6538 7659\n6869 7517\n3339 10995\n574 9902\n7509 8428\n1598 4746\n432 11716\n1057 5808\n3736 7048\n5569 7802\n3873 5082\n4259 7365\n833 1099\n8112 11599\n2922 6776\n4730 11762\n2883 2994\n5617 11087\n2628 8592\n4258 5159\n9182 10737\n1099 9372\n3311 11931\n1208 9529\n816 9752\n10525 11490\n4356 9959\n4884 5917\n4544 5178\n1199 3412\n4804 5682\n5968 9072\n8597 11723\n104 3892\n5026 10471\n1917 11001\n1624 9507\n8371 11916\n5615 10679\n5658 11266\n5369 8932\n426 11393\n3774 4262\n5872 8809\n1435 11145\n8660 12135\n5267 9854\n3747 6027\n8099 9946\n4267 10891\n609 11013\n2414 2509\n279 5668\n1757 6259\n1940 2576\n3335 9915\n2550 8976\n7169 9171\n5944 9088\n338 5570\n3048 7416\n1977 2789\n2053 5267\n2524 11695\n6346 7665\n1258 10308\n4614 7137\n4748 5069\n7166 8151\n206 10191\n6368 6532\n7968 8191\n1092 5679\n6812 9899\n6938 8060\n201 9606\n2317 5888\n142 5365\n210 1092\n7133 9312\n1948 3470\n6038 8585\n3006 10886\n4587 9684\n1735 2942\n4462 4670\n6805 9182\n8591 8958\n3437 7818\n1991 11551\n6886 10201\n1724 9380\n2750 5798\n930 9122\n5962 6046\n4311 8657\n2310 3773\n2495 10884\n8742 9058\n711 9619\n1701 9607\n5086 7515\n1587 10538\n1848 5653\n7429 11608\n987 8255\n4422 4539\n10409 11609\n238 326\n1138 8952\n342 8604\n1897 11452\n5571 10253\n3807 6821\n1424 8239\n1221 6142\n2048 7586\n6660 11295\n689 11495\n10891 11408\n7401 12174\n82 5391\n314 3129\n1642 3417\n5692 6415\n9006 11767\n5124 9409\n2995 8089\n1780 4081\n1484 6072\n2291 9266\n996 1514\n4932 9074\n911 2011\n2608 8223\n3494 5225\n2891 4769\n2097 8703\n7492 11311\n1532 3075\n8436 10043\n8981 11062\n4351 8564\n7536 10151\n6196 6763\n9525 10641\n1812 8152\n4996 10040\n1272 3318\n2597 9856\n99 11892\n1014 3895\n2015 10757\n638 4589\n3189 10112\n5842 11855\n1879 4683\n3117 6198\n617 6774\n3788 9206\n8142 10986\n10132 11758\n3737 12034\n7459 11125\n1522 6420\n6695 9291\n9669 12109\n3083 11621\n3945 7679\n9676 11634\n1790 7802\n5285 8948\n1659 11449\n7258 11204\n2204 11766\n8133 11200\n452 3202\n359 10935\n4562 10534\n4007 8129\n1897 11572\n6754 11688\n5311 12151\n1944 8195\n8768 10398\n6168 8347\n1683 7871\n8796 9046\n6860 11761\n4636 11910\n146 6594\n3890 8293\n2367 8905\n3195 8643\n7386 10957\n5249 5587\n657 8843\n7234 11819\n2391 9598\n3023 5303\n1362 3807\n1599 4055\n751 10353\n3708 8673\n6520 11242\n1109 4903\n6619 8092\n7675 11059\n6253 9312\n3607 8285\n857 9362\n9982 11726\n2400 11581\n2009 11117\n3906 6952\n6743 10466\n2073 7320\n5882 10034\n2465 6049\n7466 9140\n11203 11209\n3708 7208\n5621 9891\n4500 6924\n6889 8375\n5714 8296\n4297 10958\n8360 8672\n10126 11424\n1458 11720\n3211 7188\n7148 10418\n1793 9661\n3593 6642\n5196 10661\n3170 7223\n183 7614\n2668 10813\n3945 11791\n3770 4074\n4208 5627\n5734 10143\n2658 3294\n2126 10408\n7190 9089\n1587 5996\n1168 8365\n5654 6523\n7259 11793\n8132 10589\n608 7157\n2127 11238\n10510 10994\n8256 11011\n2555 4923\n1699 4362\n2827 8013\n2911 9644\n8063 11402\n1898 10714\n84 3784\n834 8899\n6108 7636\n3594 10594\n6185 12020\n7979 9234\n5004 6873\n5406 11488\n2593 8978\n2308 9137\n2909 4529\n2872 10460\n1479 5907\n9090 12039\n6358 6918\n6248 7350\n686 9877\n5165 8513\n10249 10883\n1345 4963\n4113 6943\n1149 5031\n8482 8659\n3774 6247\n1243 10527\n7370 9047\n2991 10900\n6598 10135\n1280 5537\n649 3397\n2732 5401\n8314 11430\n1611 8909\n6690 7170\n10322 11426\n45 5610\n7174 9421\n3461 11513\n3724 5370\n5022 6462\n3488 4879\n6014 7755\n7871 12043\n8607 11678\n332 8668\n3949 8270\n6795 11903\n1256 4121\n2100 2550\n2468 12063\n1453 9565\n5069 5628\n6632 7653\n6169 6576\n3196 5866\n4751 5833\n6478 7103\n20 10797\n4430 6111\n1775 9944\n5281 8811\n1737 10399\n233 633\n3198 10731\n7450 7468\n362 3165\n4186 4500\n5948 9720\n2771 9935\n1464 7109\n641 5638\n2096 2805\n1700 6836\n1124 8822\n5439 10546\n895 11963\n6270 11483\n5566 12085\n9849 10743\n1378 7772\n3344 9352\n296 1137\n8367 11496\n962 6539\n4592 9498\n4378 10629\n1693 4175\n235 9872\n3493 6328\n666 4248\n1603 3590\n6956 11620\n9229 10021\n287 4763\n8638 9296\n151 1831\n2530 6837\n5617 11336\n2059 4880\n3432 8333\n7342 10915\n10434 11944\n1617 8423\n4216 10395\n4278 11407\n4034 8721\n4175 7500\n1272 4842\n2762 3177\n6907 9733\n1023 5319\n4747 5405\n383 1452\n288 1840\n5702 7812\n2366 3317\n1795 11458\n162 10774\n7808 11056\n5537 11095\n2825 9388\n3941 5576\n668 9501\n7869 8754\n16 10695\n9796 10792\n6525 7792\n10114 10937\n6486 12070\n3266 10293\n2022 4911\n5593 11616\n9665 10255\n3725 11574\n5675 11426\n2728 5222\n238 9178\n8854 8943\n5582 10029\n597 5245\n8085 9458\n1742 9437\n6450 9465\n10217 11232\n128 6181\n3485 11909\n10590 11227\n3493 9587\n2080 10250\n3610 4224\n3208 5984\n6867 8856\n1517 7173\n3239 4705\n500 10639\n1858 4548\n10594 10957\n8555 11067\n1138 4393\n9517 11724\n9273 10100\n3387 9131\n3595 7534\n6159 6610\n1661 5978\n9044 11353\n1426 7179\n1016 9992\n5098 11620\n8282 9901\n124 7024\n6012 9268\n468 2491\n6350 11504\n4747 9631\n1912 12085\n1862 6944\n9635 11156\n542 4112\n6592 11380\n7848 9210\n6505 7589\n4594 5816\n1540 5993\n1522 4119\n4819 8060\n3534 5037\n781 4832\n1167 9649\n5808 10773\n7077 10103\n3426 8851\n5478 7705\n6210 9155\n805 4711\n4402 8020\n8063 9566\n4381 11406\n7585 10378\n970 6602\n1536 9212\n8389 10750\n6337 11415\n10003 10162\n530 3159\n3833 5791\n6078 8190\n4074 12094\n2952 10308\n2250 4220\n2084 11403\n4713 8847\n7312 10959\n3949 10116\n1755 2488\n3804 6055\n3110 8114\n4567 10188\n735 6679\n3316 4524\n4418 10442\n2071 2743\n8794 10118\n6482 11591\n4678 9112\n81 11148\n3789 6778\n6861 6912\n5898 9365\n1232 1383\n4300 7515\n2645 6293\n6992 10936\n9162 11270\n510 6206\n8437 9539\n6913 11322\n2573 5509\n1583 11317\n6199 8130\n7869 10110\n3060 10791\n2941 8828\n4633 8397\n8179 10185\n2184 10704\n4799 10777\n7082 7701\n10896 11290\n2018 10806\n673 8021\n3245 11327\n4547 11829\n2653 9058\n8558 9605\n1040 6042\n4947 6861\n9243 11202\n4725 5222\n781 5047\n3071 3860\n10567 12086\n5892 11795\n3367 3522\n937 1628\n3769 6707\n8240 8990\n4195 7284\n7942 11475\n4746 8541\n4312 11612\n1098 10389\n2422 4381\n2380 7704\n3795 8273\n6607 11992\n1162 3291\n43 7780\n5856 6425\n4025 6817\n191 1819\n7946 11804\n3552 7801\n7332 11944\n9768 11322\n4014 8608\n1489 11227\n5360 11701\n2871 6573\n6892 8288\n2770 7132\n6639 7532\n5440 11991\n6355 7226\n2515 7034\n138 9760\n5959 10834\n2088 11563\n295 8031\n1561 8773\n6473 12148\n3816 11135\n1254 8563\n888 11848\n4269 10224\n4910 10338\n100 11669\n5417 6113\n7627 10485\n6790 11685\n261 1601\n5368 5582\n2958 7852\n1085 10403\n412 8085\n4280 9893\n239 6160\n10559 10684\n5288 11911\n201 3894\n1119 11156\n4704 10970\n1234 10933\n4253 7464\n5822 10220\n425 5954\n3066 3210\n3733 10871\n1440 4535\n10953 11400\n4349 4936\n683 10061\n713 5892\n2501 8230\n2854 11283\n5479 9357\n779 9612\n694 1686\n1417 9669\n5308 6831\n3434 6737\n1836 5924\n2016 5714\n759 6414\n232 9155\n2697 5969\n2484 11223\n221 3188\n5037 5080\n4619 9917\n10145 11328\n718 10976\n658 5396\n6632 9652\n3440 6439\n7180 8353\n3553 11939\n6088 6212\n3410 9527\n1489 2584\n1147 7384\n8402 11554\n1464 4879\n3082 5367\n3899 6945\n1481 8894\n2039 10265\n2601 11270\n7436 11876\n3823 6687\n7754 10107\n8581 11541\n17 992\n3863 6832\n3309 3720\n2790 4590\n968 5545\n2039 4206\n259 4923\n4004 5159\n1040 12135\n4394 8291\n322 5330\n6768 8202\n81 4805\n6379 10526\n2303 6230\n4738 8076\n2156 6721\n11333 12023\n7278 9992\n272 1108\n4230 5459\n2272 4385\n6429 8023\n373 8195\n6076 9658\n7750 7756\n8087 10792\n6212 11750\n5674 9301\n8119 10766\n390 11681\n1399 3677\n1894 8898\n1298 6755\n2774 3276\n1888 11890\n2850 3670\n68 8543\n3667 6705\n1023 3808\n1054 4831\n10182 10528\n5191 7198\n8066 8546\n1419 5141\n6518 12020\n8936 10709\n2289 8369\n7817 10975\n8960 11965\n857 3602\n9007 9341\n7228 9116\n9759 10196\n5405 6826\n1237 3512\n2157 9494\n4201 7183\n2149 4807\n524 2514\n3494 9254\n1298 2204\n4595 10324\n6566 7230\n4421 5851\n3453 11418\n5648 8455\n676 4788\n5060 9064\n5805 8731\n580 1206\n1320 7607\n8835 10754\n6272 10232\n2588 9057\n4556 6266\n2990 6605\n1916 11872\n4713 8149\n9186 12048\n746 5131\n147 8886\n8204 8457\n6367 7485\n2727 4456\n1475 12185\n6989 11799\n8445 10890\n3675 6723\n1531 11784\n7825 11106\n4000 6415\n4493 7921\n2720 5118\n4633 7203\n7450 9942\n1469 2161\n6667 7063\n3890 5995\n504 9288\n4069 5871\n105 6374\n3955 9348\n5714 8491\n1671 7164\n329 7439\n1347 11363\n6542 11533\n10589 10764\n5286 6809\n5319 10488\n349 7323\n2737 5152\n4886 7968\n7753 11925\n6695 10812\n6128 11630\n907 3244\n7146 11731\n1515 11903\n5238 10033\n567 9018\n2406 2430\n8724 10822\n1394 2265\n6856 10954\n7524 10842\n1066 11876\n1647 7887\n1397 6113\n5863 11379\n3427 3699\n2696 4659\n6794 11779\n3449 4597\n3654 7343\n10802 11647\n3085 9589\n709 1288\n10969 11507\n4220 6538\n6867 11595\n8203 10452\n7692 8705\n2820 7760\n3223 4115\n1774 11753\n2804 10230\n7448 7881\n5279 11186\n4028 9389\n6810 8115\n1594 2232\n7836 8923\n3827 11299\n7059 7481\n1380 8645\n2500 9907\n3320 7819\n3032 3396\n3533 11549\n6381 10055\n857 11153\n4619 9937\n7820 11846\n2566 3995\n1703 5879\n3408 11755\n94 8190\n10087 11112\n124 8901\n6692 9944\n1815 2294\n6558 11036\n847 4446\n5465 7573\n2733 4362\n4741 9116\n770 1512\n618 6517\n741 4433\n8691 10089\n1361 3308\n9986 11487\n987 1665\n3144 9660\n3643 7414\n8391 11770\n11288 11655\n5953 11026\n2152 6896\n1595 6959\n7949 11404\n4269 12075\n682 8541\n9013 11398\n2205 10921\n1387 9386\n2505 9963\n6314 7372\n1916 7382\n1527 2925\n6715 12019\n2948 7002\n1951 4115\n2902 8059\n1297 3815\n4765 7126\n10510 11179\n3956 8000\n5346 5456\n4416 7640\n2079 9222\n1653 9019\n1680 7349\n5391 10605\n3542 4041\n3404 11259\n2723 10311\n2812 6265\n10423 11334\n7114 9555\n3488 3658\n10448 10474\n2409 6053\n6114 6545\n2502 7974\n1765 2889\n11724 11916\n6277 7201\n3375 5893\n8115 9673\n2225 9300\n1654 11773\n44 8604\n7615 8254\n1594 4425\n6801 8302\n5450 10932\n3268 5730\n4482 11587\n3961 4752\n5611 9045\n7277 9916\n8230 10967\n51 3639\n1008 7797\n6058 8072\n4427 6339\n2512 3559\n1781 4398\n2387 11127\n10137 11776\n8354 10174\n4436 9345\n5779 9482\n1255 2259\n632 1131\n1372 8899\n5314 11284\n1033 12046\n8695 9481\n5178 7975\n2120 4690\n1697 7337\n6793 12130\n4397 4667\n11298 11408\n3098 9135\n8507 11295\n4036 10896\n8439 9840\n5465 11558\n4618 6470\n6424 9412\n6415 9761\n1029 5046\n8090 11873\n4797 7146\n373 8233\n10587 10943\n897 2840\n5417 9987\n1106 11485\n129 7698\n7078 10789\n493 5254\n1923 6277\n8021 9576\n4351 7374\n763 10072\n5318 6551\n3111 5869\n3261 4525\n394 8631\n1433 2815\n8671 9143\n3628 8438\n7662 11498\n2232 2554\n11109 11896\n9163 11856\n1424 9315\n6318 7922\n5409 11852\n1063 2174\n4906 10664\n3072 5760\n3812 4846\n5509 10668\n5535 5834\n9923 11395\n319 11792\n2013 9910\n3484 11295\n1615 4018\n438 3505\n818 2718\n2544 7162\n9670 11265\n2103 7268\n5595 6654\n3770 7164\n2086 4678\n4696 11211\n2454 12030\n6989 11971\n10477 11320\n1046 4081\n1022 7638\n989 1715\n8110 10531\n1348 5906\n5052 5756\n658 1234\n5354 9256\n1175 9689\n73 4536\n9342 10910\n4607 7505\n11271 12174\n3373 11104\n1016 2243\n1711 3550\n3002 8548\n5550 9394\n3498 8826\n2240 2446\n2864 9137\n311 3216\n1454 11014\n7845 8339\n10633 11186\n2233 8331\n1606 7252\n3439 7863\n5978 7446\n2355 7282\n1958 8802\n2501 12069\n322 8184\n3002 9489\n2050 6684\n8587 10499\n10735 11059\n2327 5868\n3638 6491\n1448 5000\n6028 11368\n3925 10295\n5473 9247\n5403 5530\n3416 6060\n6188 9654\n4853 10765\n4354 11895\n1713 8921\n4124 4682\n331 6503\n11250 11360\n7028 8298\n1200 4108\n154 4879\n1632 2685\n2200 3347\n3031 5975\n1983 9628\n5821 7794\n101 10512\n4675 9030\n7302 9880\n1311 1993\n6008 11914\n4923 7902\n7482 10702\n8438 11990\n1469 4673\n4934 8878\n5822 10241\n7653 10821\n8807 10797\n7977 9249\n4362 5737\n5857 9460\n5816 12019\n4763 5349\n571 7027\n3461 8872\n1743 5086\n5309 6762\n882 3814\n10148 11252\n6119 7402\n4595 4685\n2380 6409\n1317 5515\n10689 12082\n6374 9050\n2035 8672\n9998 10363\n1464 3268\n4646 11830\n306 2546\n6556 11780\n5695 11013\n9438 11610\n6424 8553\n8257 10059\n11357 11961\n929 6150\n7413 10467\n174 9406\n185 1500\n1722 5479\n9926 10206\n8182 8357\n3945 4228\n3168 11590\n5234 6260\n200 1208\n9449 11345\n3971 10490\n913 9420\n3709 8644\n1299 7837\n2738 3804\n5377 10583\n782 1395\n269 4625\n640 10281\n10711 10733\n3903 9032\n5209 10730\n3908 6440\n915 5509\n9277 10466\n7715 10799\n5445 9531\n564 6736\n870 5716\n1256 3959\n2883 5185\n485 9709\n1886 3902\n8940 11462\n61 851\n3231 10296\n978 9492\n3059 9129\n713 11074\n1143 10704\n3234 6055\n727 1562\n2509 5615\n5865 7041\n8257 12104\n5123 10466\n4483 4652\n138 1607\n210 5396\n4716 9330\n5032 6255\n1684 9145\n694 2717\n1028 11045\n2476 7938\n3222 10074\n7115 7715\n387 9803\n1865 8042\n722 7760\n3263 7478\n6669 8666\n4030 7598\n5164 9683\n2209 4499\n284 329\n6105 11402\n5923 10726\n2039 2325\n197 7013\n7749 10588\n1482 8913\n116 3844\n4202 9036\n1672 2340\n8916 12091\n127 8497\n1105 2332\n1418 1693\n2042 11955\n5356 5984\n5208 8996\n4223 10919\n6126 7773\n632 11709\n1038 4537\n6291 11279\n2383 5322\n4411 9979\n3176 10357\n1959 5183\n7966 10202\n8274 8418\n3047 11569\n5440 11356\n1984 8530\n1451 9953\n197 9106\n896 2500\n6876 7351\n595 6934\n8081 8165\n5386 5552\n2010 4985\n3918 4470\n8576 9077\n7400 11049\n2017 5509\n5425 5636\n7458 10046\n2445 10837\n6330 6974\n8205 10702\n827 11939\n1114 12182\n1735 9384\n1618 6280\n1754 8958\n1505 8485\n3040 5617\n7153 8304\n1321 7607\n506 8100\n3667 6095\n11531 12130\n6452 11258\n468 10939\n4060 4450\n2934 7312\n5932 10173\n3274 6214\n6097 9643\n7267 9464\n7598 7656\n229 8612\n3942 9949\n1962 6787\n433 7136\n6771 9600\n9727 10245\n2293 5419\n91 7504\n2477 2685\n4185 9469\n4150 4702\n353 8783\n3404 10647\n10393 10443\n3522 9750\n5716 5802\n7868 9707\n1425 3807\n10031 11695\n1007 4568\n273 11543\n1061 8639\n7148 9283\n1430 5426\n855 3474\n6193 11862\n305 1074\n752 8432\n7099 10000\n5896 7750\n153 1952\n4733 6105\n6884 10650\n9957 11562\n11136 12067\n7993 9009\n6073 10802\n7591 9344\n5045 9149\n2593 11594\n2869 6202\n580 8850\n8201 10677\n1048 7744\n3083 4408\n5339 5643\n444 4797\n4485 6235\n1931 4146\n4402 9536\n2790 4360\n37 3543\n7794 10603\n7204 9261\n9712 10291\n5064 8619\n2593 5055\n4493 6960\n4102 5324\n2320 6879\n6136 10948\n471 8851\n3395 10578\n4705 8101\n1577 6356\n4913 7656\n5783 7721\n3048 3603\n1421 4854\n5297 5617\n2114 5273\n3560 6152\n11462 11842\n5309 7700\n3900 9907\n10073 10721\n6361 7576\n2096 9641\n1854 8120\n1800 10292\n6369 10391\n570 10842\n6429 6742\n2889 3831\n744 9909\n2270 9488\n6396 7371\n12 338\n2222 5571\n10803 11723\n4792 7433\n433 10142\n1307 1673\n5102 7051\n2773 6408\n1071 4683\n3105 11380\n5149 11691\n413 7884\n5010 10197\n3284 6217\n2503 3797\n3466 10035\n9461 11661\n6262 8668\n8606 9699\n4842 7460\n5110 6926\n4072 4316\n5068 9801\n53 8418\n6466 8884\n4100 7103\n621 2196\n672 1657\n5005 10952\n1818 8324\n5835 10910\n8001 10531\n67 4585\n4832 5456\n2353 5160\n3039 7472\n1635 5002\n5944 7031\n1970 3702\n8595 11084\n3445 7570\n3229 11368\n4669 8409\n3248 10111\n3762 11782\n774 11084\n4523 5808\n2598 5946\n5315 7057\n3280 8561\n3051 4646\n2116 3197\n2131 11627\n987 1107\n1463 1549\n6669 9424\n1704 11383\n7243 11057\n8134 11531\n1514 6910\n2254 6087\n7654 10717\n75 1398\n3482 11988\n2714 4289\n2455 6461\n6488 10220\n7328 9207\n1776 5384\n708 10457\n773 11504\n907 9160\n220 7479\n29 6025\n344 3253\n3140 8108\n603 3317\n6762 11392\n7431 9072\n3393 7991\n2486 3408\n5953 9896\n423 7105\n7772 10955\n9189 11059\n3116 3758\n1043 2481\n3043 3596\n4029 6864\n6509 10911\n968 11774\n5122 9050\n2290 7924\n920 8844\n311 7810\n2828 5299\n3773 4096\n1046 8915\n3859 10327\n2705 2775\n6770 10890\n469 6517\n1014 9483\n4369 6581\n8852 11030\n9711 9906\n1822 4964\n675 10183\n796 4369\n122 9495\n1260 3719\n7475 9826\n3530 10178\n381 6958\n5574 5701\n1907 11540\n2812 12165\n8249 8314\n5157 7974\n4602 11276\n198 1433\n948 7310\n81 4396\n7476 8398\n7191 10557\n7073 10621\n3960 7669\n2113 8092\n3393 10148\n503 4839\n70 7251\n7075 11867\n2992 3125\n3859 7713\n9194 10271\n6883 11634\n5329 11368\n1655 5861\n3709 10437\n1805 3325\n4489 12058\n185 341\n2 7784\n5164 8423\n529 9036\n817 1554\n827 6485\n3816 5303\n3430 7341\n3586 8635\n2585 11116\n5384 12089\n7282 9493\n5245 8565\n3364 8951\n1385 3911\n6015 8774\n2901 8433\n982 8566\n8123 10183\n6086 7740\n2963 7322\n2507 10407\n1697 1787\n627 7265\n6572 9279\n7541 10605\n310 8411\n996 10054\n2879 3755\n6177 6523\n8514 12002\n1639 7243\n5111 10029\n4173 7599\n3820 10485\n5328 8953\n7600 11814\n1455 6049\n1458 5561\n9212 11756\n2855 10826\n2745 4538\n1522 5940\n3001 3054\n3449 5084\n1248 4038\n3543 5579\n4201 9658\n9007 9048\n1433 11862\n1069 2792\n4602 11973\n220 4736\n1023 5469\n4896 10413\n1127 9903\n6847 11804\n1712 8613\n6023 10661\n6455 11677\n2591 6408\n4516 5645\n6298 10860\n722 10243\n447 500\n562 9107\n181 6381\n595 9551\n4497 11728\n4228 6650\n2199 11543\n1040 7757\n643 1566\n5663 11203\n8118 9045\n4967 11195\n5665 9668\n1583 8969\n2922 5191\n9314 10598\n6244 8467\n415 5659\n320 8642\n1385 10854\n1705 11559\n3599 5570\n7392 9062\n2963 11485\n696 6391\n1350 5116\n5148 8339\n829 2007\n1383 8435\n6589 11224\n6210 7764\n497 7903\n1245 5727\n2909 4983\n1599 10563\n3484 8062\n4024 9667\n2801 10021\n309 3859\n3599 9407\n1564 11417\n6733 10627\n6087 9253\n850 11577\n11595 12055\n2406 11589\n7426 11365\n132 1036\n4443 8050\n6543 11543\n1581 1878\n4553 9333\n6418 7275\n1582 3012\n11044 12085\n1973 8459\n6225 8138\n4599 9418\n4727 5993\n8866 9717\n8792 10235\n8750 11531\n4853 5540\n7003 9328\n677 6621\n1664 4062\n7514 10586\n4627 8768\n1068 6861\n1780 7616\n5103 6050\n1716 6899\n8335 9552\n2062 7481\n3990 6236\n1795 4878\n5163 12142\n5839 8502\n75 9105\n10337 10548\n6219 9562\n605 5385\n2674 3869\n5107 7657\n4511 6933\n1164 10696\n792 9322\n10381 11789\n8893 11598\n6106 8719\n123 10239\n9328 11960\n7037 7199\n5902 6383\n7175 9697\n5722 11858\n9134 9441\n1516 3459\n2639 11488\n3555 9940\n5063 5920\n6647 10873\n2662 9254\n8251 12033\n411 3662\n7869 11816\n691 6522\n494 2891\n3569 5527\n5116 10899\n8120 12147\n1352 5108\n6377 9488\n7484 11169\n5803 9390\n5845 11452\n2432 5682\n10620 11259\n4245 6607\n466 9776\n5350 7860\n3961 10237\n6691 7836\n80 4238\n4440 7886\n3620 8518\n664 7749\n7946 9053\n1586 6877\n1088 5528\n4723 12027\n353 7160\n901 11932\n1258 3148\n1010 8116\n5170 7452\n7033 11626\n2911 6386\n2324 3380\n829 3888\n2053 7594\n1545 8704\n8043 9940\n5604 10230\n7923 8269\n477 2288\n2986 10747\n4153 4694\n2570 9054\n4774 8256\n5311 11971\n1784 8022\n542 765\n6748 11048\n10503 11637\n4812 12028\n8945 9487\n1339 5885\n2332 7877\n11445 11539\n874 8589\n1623 8690\n7790 11943\n696 9792\n571 9169\n4262 6514\n2838 11371\n7583 9715\n4515 9788\n4796 7052\n126 12116\n6169 8381\n3477 4493\n3436 5804\n2047 3311\n7323 9348\n4760 9070\n971 8684\n9715 9894\n118 3820\n5245 8720\n2543 6729\n1247 8029\n1951 8925\n2124 11707\n2337 9265\n992 9929\n4124 9293\n3327 6312\n5275 9475\n8812 10194\n423 9830\n214 3243\n3961 4650\n7354 8854\n4679 11589\n5618 8828\n10507 11293\n810 12184\n5656 11030\n703 9573\n1174 10138\n6156 12148\n777 12000\n838 6947\n10959 12011\n4779 9451\n4519 11403\n6214 7720\n2173 4043\n9263 9907\n2125 3834\n2822 8471\n4331 11494\n822 5066\n683 12196\n9593 11267\n6346 11643\n5886 9512\n1589 3582\n6686 10463\n888 1777\n2316 3891\n63 3663\n74 6486\n2660 11773\n4698 10499\n7098 9779\n5413 9539\n645 7907\n7933 9910\n821 10591\n1086 3043\n5330 10338\n271 8456\n375 3405\n7231 9413\n10693 10819\n972 4870\n1744 5026\n3545 5563\n1947 10249\n2440 10624\n1215 7035\n2387 10816\n1391 5275\n6063 9366\n4598 11675\n7792 8792\n8534 9067\n803 1867\n9823 12006\n7465 9523\n5346 8978\n5310 9118\n8040 9799\n8080 11821\n1663 8346\n4362 10883\n7033 7943\n3094 10592\n55 4752\n1189 4205\n453 9818\n2142 3150\n1402 1652\n6325 6572\n5359 8861\n310 2449\n2214 6848\n8467 10712\n5655 7842\n2547 3865\n6968 11385\n5823 6554\n2410 3341\n2146 10157\n1848 2973\n725 6854\n5937 11197\n5199 8356\n5851 8750\n7677 11137\n7475 8145\n364 3796\n1170 6786\n10562 10573\n3559 8057\n3691 6852\n3177 10068\n1137 3597\n10934 11081\n2404 9018\n1252 4517\n3100 11755\n2980 10590\n964 5631\n10341 11435\n2199 9282\n10552 11215\n9269 10472\n9076 11577\n709 8532\n2221 2416\n6594 6982\n4954 10467\n5515 9650\n2129 10584\n1868 11671\n2077 11840\n1882 5930\n1411 10043\n5615 11091\n9141 11207\n1405 7626\n562 2727\n6221 6663\n821 3399\n2218 9182\n7618 8568\n576 11905\n2329 3984\n2325 5574\n1206 11692\n8641 11734\n9815 12172\n1500 11559\n4016 11709\n7110 11846\n716 6154\n1547 3143\n2799 7952\n4635 11385\n3341 6495\n7262 7826\n8622 10710\n1515 6896\n1425 12071\n2019 8442\n3031 6184\n704 4273\n1664 2645\n1439 2089\n7620 10054\n6158 12085\n6038 9882\n6472 10970\n5605 10723\n3288 8832\n5598 11881\n2545 6355\n2071 4123\n6753 9233\n6172 8545\n951 11817\n4888 9120\n3718 6862\n1216 5848\n298 2160\n84 11355\n5470 9621\n271 1235\n3456 9698\n4992 10903\n6255 6561\n5888 10311\n3100 6745\n1661 11381\n26 9837\n5833 8270\n2666 9311\n3603 11601\n2982 10233\n1217 4700\n9512 10022\n1637 6768\n5054 9513\n6913 7405\n1591 9111\n3357 4641\n9534 10273\n8575 8617\n1847 4230\n3139 6001\n1929 10853\n5091 7404\n432 9123\n1019 1897\n5942 9911\n7753 11320\n1383 4293\n1334 12170\n8792 9292\n4854 10836\n6920 8399\n4401 11100\n9230 9429\n4469 7895\n395 4002\n1785 9192\n382 9828\n7483 8909\n2323 5316\n144 6664\n628 6601\n2063 6505\n3052 10490\n2056 2145\n8090 11246\n5708 6099\n4956 10847\n3875 8139\n5710 5803\n5825 8228\n4379 11814\n6202 11442\n3992 4083\n2146 6824\n333 11191\n10923 11589\n1157 1431\n4120 10357\n1212 3022\n6149 9304\n3119 9741\n6100 12004\n1154 3406\n4665 8187\n3744 7891\n3064 4302\n834 7321\n632 3189\n402 6849\n6818 8647\n4121 10318\n8387 9804\n3457 8014\n753 5981\n6981 11730\n6959 9043\n1326 9525\n8545 12148\n4280 10379\n859 8723\n6766 6864\n8006 9511\n2451 2972\n3364 11825\n3344 8055\n3910 8415\n26 6269\n102 5598\n805 5871\n1903 9959\n7070 11663\n85 2659\n281 3067\n6516 7963\n5832 11895\n4506 7523\n4513 9334\n7649 9052\n519 4004\n418 11972\n3172 4911\n3538 11421\n1496 10465\n5778 10202\n3098 10808\n7443 10101\n5719 11633\n5338 7466\n2476 3023\n5367 6066\n5138 5993\n9010 9696\n5029 7009\n7483 8545\n9777 10869\n2372 10348\n6083 8398\n3183 4916\n6742 7452\n441 1453\n3266 11449\n913 5666\n3438 5536\n9499 10041\n2512 7948\n1580 6183\n8743 12181\n5881 9050\n590 7819\n265 8049\n1982 6888\n6706 8306\n761 9401\n263 1447\n1057 8281\n3946 7082\n3404 7641\n722 11104\n6498 6661\n1039 3369\n6948 10558\n3221 12158\n650 776\n5105 11355\n2076 5356\n6543 11093\n4560 4956\n3178 8773\n6703 12091\n756 2923\n5501 11980\n4044 8157\n7557 10555\n4045 7243\n473 1213\n20 2107\n2715 10124\n8880 9848\n4899 7457\n6843 11797\n3830 7143\n5151 6279\n4780 5891\n7544 8521\n8114 11950\n3016 9944\n4384 9536\n960 11320\n11914 11983\n4827 10790\n1281 11501\n3274 10014\n4062 10004\n5952 9213\n2276 4057\n4502 4850\n2551 7318\n3925 7174\n2031 6552\n3163 11629\n295 6240\n4543 5819\n1409 1954\n3777 6067\n6598 8011\n482 11861\n1201 5070\n5448 6073\n7400 10299\n2678 6730\n338 11804\n1036 5155\n6955 8121\n3300 6195\n344 938\n4486 6614\n90 12190\n7952 12044\n6502 10687\n4126 7450\n7726 8159\n735 11345\n8108 12115\n7095 7225\n190 3018\n8977 9214\n9666 11913\n12062 12094\n4840 9147\n10968 10975\n1476 6561\n505 6274\n6304 7686\n481 4383\n7792 8861\n4020 6416\n4675 8780\n8155 9145\n1499 2010\n4228 7106\n5342 9467\n1780 3143\n5323 10357\n355 11747\n5811 5816\n2259 7450\n1039 6964\n7142 11758\n4927 9276\n4073 4993\n378 5565\n1852 2035\n2948 6486\n4300 6973\n3049 10107\n7398 11477\n1997 9768\n4359 11864\n1654 9436\n741 2258\n1020 5890\n7141 10635\n1328 6254\n2960 6585\n6633 8207\n4147 6397\n6615 9346\n2210 2469\n6739 9161\n824 11129\n182 10916\n2910 6853\n2075 8381\n2417 7955\n1653 6168\n5509 10528\n2951 7433\n8308 9460\n9823 11565\n1147 10786\n2225 10365\n8033 8791\n8977 11985\n225 10988\n705 6341\n9353 9485\n701 1397\n9449 11360\n8192 11095\n9775 11446\n482 8012\n10103 10169\n3349 5759\n7147 9144\n9332 11662\n3723 5184\n1397 8216\n3050 8008\n2543 3056\n7330 8378\n7361 10645\n2541 7616\n312 10014\n7788 10604\n296 6514\n1763 4709\n1766 8818\n2781 5747\n41 3164\n1440 3322\n526 5029\n907 1937\n8496 9163\n4477 10682\n3761 5931\n1205 10406\n9491 10759\n981 11273\n4384 4682\n5458 9524\n3397 4437\n1865 9443\n6145 6535\n5118 10767\n9 6136\n1515 7182\n7064 7952\n5950 10371\n4149 11610\n11038 11190\n1848 8993\n1238 4023\n1753 8092\n5516 5775\n9958 10600\n145 11687\n5063 11465\n2257 2890\n3658 8973\n2925 10894\n5415 7869\n1667 10271\n4239 11552\n5952 10225\n6343 10319\n6140 9037\n8274 9471\n6733 11840\n3981 5034\n1439 2268\n3439 8424\n9868 10167\n10146 10359\n2539 4245\n8048 11179\n6011 9753\n6045 9166\n3309 11209\n7098 7858\n7907 10655\n1300 8561\n426 5419\n2377 3846\n3237 11157\n4813 8813\n10225 11124\n3230 3509\n2762 4531\n5402 7000\n1758 3555\n289 8961\n7116 10252\n829 1672\n8058 10816\n6729 9396\n9612 9828\n6778 7853\n1393 2022\n1224 10801\n8031 8713\n885 8004\n2489 5864\n8088 10849\n2497 4817\n240 970\n3965 9796\n131 1665\n6583 7661\n1146 2609\n3158 7405\n6961 11103\n3290 11113\n4346 8210\n8066 10643\n3025 5722\n3930 8747\n712 6693\n5872 6744\n7017 8886\n10115 11323\n842 10119\n3693 9271\n3299 11802\n6557 8311\n2168 7938\n3845 8271\n72 4595\n5660 8658\n8120 12187\n2531 6652\n1623 4535\n757 8574\n2960 8526\n2899 6728\n904 4683\n4470 8918\n1293 3763\n4880 6885\n2184 3318\n6369 9489\n3632 8860\n6617 8147\n5605 11116\n3395 4269\n7012 7256\n7610 8269\n1819 4435\n423 8626\n3414 4554\n1893 6899\n182 1207\n1723 8823\n4226 8110\n5026 6596\n5386 5644\n6934 7667\n1983 10294\n5651 9472\n3067 11078\n10935 11664\n1656 7428\n11337 12116\n4975 8014\n7434 9463\n2834 10736\n4260 11754\n532 7876\n8829 11006\n5806 10106\n357 583\n2203 10507\n4702 4902\n2903 8137\n3772 5833\n4792 8408\n2652 5626\n2568 3371\n2402 11501\n5569 6379\n3701 11820\n4188 8614\n6243 9553\n7101 10913\n8594 11844\n4188 6669\n4523 8942\n4176 5500\n439 12139\n4253 7522\n2693 6934\n1833 12122\n3697 4324\n1219 11802\n10842 11990\n4560 6640\n3447 10060\n5741 11113\n1246 3356\n4736 5126\n425 5655\n3902 10689\n825 11208\n1082 4296\n1590 7749\n1043 9688\n6779 10312\n4995 8661\n9783 11053\n3683 6236\n173 5056\n620 8493\n4853 11601\n2276 3679\n5251 7261\n3934 6402\n5671 9038\n4429 5124\n7125 10296\n2599 4079\n10007 10594\n2651 7842\n1185 10433\n6502 10114\n8469 10855\n3237 5712\n2281 2974\n118 8396\n5081 7784\n29 11718\n804 11849\n4123 6700\n1702 10356\n5534 6103\n289 2253\n1623 8557\n1010 10821\n3379 11537\n2500 8769\n10204 10259\n2815 5665\n5451 11855\n1827 3391\n5171 9128\n5844 6494\n183 2976\n3882 5241\n5899 6148\n2132 10946\n4142 7050\n2944 9151\n679 9354\n367 1274\n104 4592\n1449 12017\n3355 11870\n8811 11976\n8623 11152\n1889 6628\n3196 8911\n2352 9781\n592 10371\n8558 11924\n3061 5507\n5010 7782\n2015 6425\n3914 7137\n10709 11350\n1463 2804\n6409 9564\n4660 6049\n255 10604\n5391 10897\n3756 5945\n6793 9240\n7590 11515\n406 1952\n4439 7350\n4784 7726\n123 9081\n4494 9464\n6712 12020\n590 9320\n2843 12158\n4666 5490\n7579 11498\n1081 12081\n3969 10877\n625 5608\n9731 11477\n7242 9278\n5397 10299\n496 9762\n8954 8955\n6209 6353\n6638 11003\n6200 7856\n9387 11437\n7908 11949\n9328 11828\n4212 5526\n229 7367\n8689 9322\n3607 5572\n3728 7044\n204 11926\n774 8234\n2640 8626\n980 4709\n3427 8716\n3466 8939\n4224 9049\n1623 6958\n11606 11653\n3728 6454\n2411 5001\n2859 11005\n204 270\n1431 7457\n2191 9640\n5000 10700\n8046 8255\n3659 5289\n3751 4879\n1960 2056\n6486 9908\n3720 4946\n4037 8172\n8534 11783\n1361 8979\n6059 8011\n1886 8607\n1375 11957\n6524 12064\n2800 9593\n6799 10066\n5558 8892\n443 11311\n4433 11185\n814 11232\n4643 6691\n5252 11519\n2901 11271\n5468 11126\n30 7720\n5990 11034\n6131 10392\n1808 4277\n8894 10682\n1506 4430\n5305 9409\n6676 7538\n5917 8191\n5150 11577\n8267 10906\n10731 12004\n449 8092\n1421 11419\n4107 11431\n1123 2913\n1071 9985\n8845 10133\n9050 9561\n9235 11730\n425 1304\n26 12079\n9423 11831\n4905 7841\n110 5015\n4724 8338\n2795 10936\n8665 9663\n3752 12006\n6059 7550\n7911 12045\n2950 5708\n1000 8061\n2102 6488\n627 3783\n2793 4206\n1260 4353\n6100 11832\n4138 6485\n6239 7274\n3050 8267\n3044 6873\n5659 10860\n11013 11632\n721 5587\n8761 11400\n3544 5706\n5090 6070\n7551 8274\n1188 2558\n3900 6123\n2355 10422\n2756 6095\n7828 10821\n6520 8327\n9987 11202\n3727 6264\n7614 10867\n2998 9605\n1352 7094\n9790 11079\n7941 11147\n2911 7696\n3683 5054\n2004 2852\n1965 10344\n1515 7090\n5581 8653\n1562 11283\n3841 7426\n710 11077\n3613 9827\n5778 10295\n4245 12141\n5361 9135\n551 10068\n10941 11901\n7912 10269\n3090 5005\n5829 10320\n1709 11761\n182 3516\n2631 5544\n516 7332\n573 1636\n5940 11759\n619 7788\n4143 5075\n3539 6938\n2398 11557\n1999 9305\n5657 10391\n1180 3203\n2811 9823\n1909 11326\n1032 11158\n2542 11289\n1257 1423\n3436 4980\n1473 10009\n8046 9358\n1133 9873\n9489 11874\n1163 12171\n7735 11043\n784 9584\n566 7737\n820 9001\n394 5166\n11776 11939\n3908 8272\n6078 9749\n9065 11996\n2777 2961\n4978 10487\n255 6770\n4235 9346\n2650 4207\n8990 9304\n5303 6537\n7606 9631\n4040 4075\n4752 12116\n8417 10936\n6058 10812\n4066 7072\n9455 10784\n2308 5057\n3124 7663\n6830 9298\n9999 10590\n4969 8994\n7722 11961\n1732 5259\n9093 10122\n1402 9103\n2216 7272\n6890 10060\n5904 7481\n2880 5002\n2692 5017\n43 10349\n6150 11049\n675 8700\n5414 8785\n3901 5629\n4596 11581\n3960 8743\n3564 5016\n86 11089\n4549 9581\n1857 11122\n7544 11572\n2684 7901\n2717 11959\n6095 8705\n2903 3079\n1088 7446\n1076 8009\n7152 10422\n2129 9220\n1027 7365\n1127 1702\n401 10413\n5331 10183\n2960 12088\n2165 10224\n3718 7907\n174 2010\n6133 8306\n3729 5712\n11044 11949\n2326 4331\n958 6961\n7456 9902\n5335 6566\n3732 3830\n1986 10578\n1676 2873\n6126 9208\n6341 6716\n1278 2701\n1531 3453\n204 219\n7492 9796\n1989 9635\n2042 11784\n9032 10434\n79 1700\n4827 6038\n391 4770\n2836 9159\n4522 4650\n2217 7607\n915 9351\n4778 10964\n1072 4698\n6222 9284\n7825 10289\n11064 11248\n7495 12016\n5906 8015\n8975 11871\n3991 9850\n5094 7413\n187 2315\n4806 6695\n2462 5166\n735 9365\n2729 5095\n2032 9143\n1533 7007\n779 6330\n2268 8601\n4137 6038\n2643 8978\n8268 9090\n7883 8306\n150 10468\n702 6785\n11490 11979\n135 10286\n7694 11977\n3891 9566\n1964 11147\n6307 8846\n1934 6470\n327 3164\n923 2924\n1619 5324\n4638 8645\n8936 10666\n8639 8820\n2868 9424\n4298 4950\n1647 7318\n1495 8159\n1771 7675\n9633 12040\n2146 8466\n6533 7867\n5252 10625\n7065 8822\n7942 11367\n497 2276\n8148 11291\n4424 10372\n2747 4445\n6456 7290\n1985 5834\n2443 11300\n10135 10982\n3514 10175\n643 6961\n7015 9513\n2703 5908\n7712 9130\n9746 10737\n843 6755\n9747 11738\n9196 10930\n6213 7893\n5875 11627\n4164 8883\n1441 11236\n4844 8958\n1364 3058\n4916 9331\n7476 9661\n553 2403\n838 4025\n5204 7110\n5898 8292\n89 10511\n173 1348\n5525 7318\n1703 8229\n5763 10617\n9411 10780\n969 9613\n5753 8038\n9670 12025\n360 3626\n2364 10112\n2684 8600\n6880 8174\n714 3697\n5432 10596\n8750 9751\n3432 5829\n4467 10641\n2348 7290\n5597 12164\n1343 2276\n11390 12159\n3526 4531\n10709 11221\n2877 11598\n1970 9032\n4658 7794\n3819 5269\n2836 3812\n2416 3520\n1289 5678\n1218 1606\n3188 8090\n889 5687\n1672 8579\n421 11320\n9074 10919\n8232 9636\n3801 8801\n3305 12034\n6589 7896\n6905 6984\n2200 10166\n5592 9580\n8183 9088\n7091 12039\n7622 7971\n2106 4752\n349 5858\n6111 7733\n1991 9640\n624 5596\n681 10465\n8028 8206\n3881 8308\n4027 7563\n7208 10037\n1906 5200\n2458 4940\n4149 10391\n9452 11148\n4083 8272\n1523 5755\n11728 11938\n7983 10001\n8327 9565\n7923 10600\n6603 11510\n1312 1787\n10757 11772\n3898 4440\n7315 9083\n4059 6691\n5299 10562\n10756 11030\n3797 9296\n7397 11784\n10437 11849\n6114 7306\n5368 9342\n1470 9264\n8774 10125\n2882 8572\n7225 11601\n4612 10479\n3476 11595\n1485 7634\n1371 4497\n1946 3035\n1456 1935\n865 1539\n121 5884\n2004 6744\n1084 8839\n1269 5413\n3595 3952\n10118 10584\n5483 10506\n3730 8485\n625 2653\n1573 10713\n6328 9005\n7942 11588\n4159 5210\n4644 11514\n4413 10831\n3425 8472\n8126 10820\n5849 7197\n2912 10922\n3676 8102\n1518 2730\n4665 8469\n485 1533\n2139 9184\n5858 6948\n1108 3386\n7524 9586\n4984 5986\n4562 9670\n2428 11020\n4305 10415\n11702 12119\n78 2524\n3775 6172\n7675 9724\n1009 12168\n3183 5286\n4763 10858\n2334 10114\n4581 8741\n3591 3711\n1066 4137\n8571 10348\n7465 11166\n3758 3814\n554 4890\n8128 10426\n2688 6616\n8671 9871\n58 4605\n1730 7389\n3305 11323\n859 9671\n1909 11463\n4661 7426\n6344 11794\n4738 10528\n1839 7646\n1518 5039\n4421 4871\n1279 9622\n7993 8487\n1940 3739\n7918 11207\n7061 8072\n10553 11019\n885 4198\n1213 1356\n6404 10673\n8036 8539\n8169 9621\n980 10926\n1493 3151\n449 6680\n2008 2840\n783 855\n4208 7806\n1545 10568\n5289 8445\n1205 6827\n1076 4247\n2072 7984\n6540 7565\n4794 7389\n8353 9634\n10054 10383\n10246 12184\n998 8563\n7549 11587\n213 5786\n2207 2827\n3039 8407\n3534 6800\n5151 7906\n4718 6618\n8732 11407\n1076 5967\n3458 10831\n2003 5485\n2048 9434\n1438 9922\n1729 2136\n98 7434\n5684 11299\n4202 6626\n5466 6041\n4246 5208\n5289 10888\n9054 10717\n513 11927\n1888 11112\n1862 11454\n2872 6854\n5114 9939\n2028 2871\n2051 8042\n9427 9506\n7270 10374\n4816 6326\n1778 2544\n9015 10165\n9157 11910\n993 9977\n5693 6298\n6939 10394\n3267 11451\n3747 4944\n2157 9066\n6283 11757\n184 5486\n10818 11941\n3978 9092\n4593 5137\n742 10663\n6900 9129\n2333 3808\n7669 9951\n6428 11946\n5158 8093\n1455 9845\n10462 11872\n1730 4961\n8100 9952\n4213 5950\n2597 4682\n9247 10600\n3145 4820\n1465 4008\n6290 10772\n4486 11737\n10293 11796\n2778 5252\n7218 8011\n783 8411\n4155 8697\n527 7618\n4500 9818\n4364 7965\n1487 7479\n4402 10357\n7588 7748\n9811 11417\n3640 5431\n1287 5270\n1672 9307\n809 6385\n8206 8698\n9058 9315\n4546 7547\n654 8618\n7086 12153\n1872 4234\n3438 6870\n4314 7644\n5549 12145\n1336 9097\n5444 10405\n5495 11971\n3070 10820\n6239 9003\n712 10178\n1839 2661\n885 4423\n3659 4007\n2951 7146\n6548 8835\n9059 10984\n6947 6963\n606 993\n1243 11302\n614 1095\n897 8816\n2599 3779\n156 1252\n9839 10747\n5192 7416\n1034 3101\n7491 11616\n1889 4655\n2188 4828\n2069 7325\n8863 10051\n5156 8329\n5692 10823\n706 11796\n6803 6854\n5059 6349\n1375 3697\n2180 4163\n4734 5024\n7790 11492\n1101 6633\n4221 6700\n1941 8505\n111 10635\n914 6780\n785 8558\n842 10234\n2321 2342\n718 6384\n75 8961\n3985 7414\n513 1077\n6564 10022\n1320 7144\n1425 3352\n2615 10440\n7264 11548\n1753 11369\n2866 10797\n7972 12193\n7247 7561\n10133 10334\n7697 7752\n1089 9930\n268 1174\n3291 6972\n4051 8538\n1597 10250\n1701 9096\n1935 3446\n849 1718\n1077 11576\n2988 9896\n3855 7951\n1723 9270\n630 7990\n1580 2885\n1846 8621\n6992 9136\n6594 8056\n6525 9202\n10145 10159\n2200 2500\n580 5728\n3282 11864\n2329 6233\n5477 7222\n6431 10915\n7635 11750\n3951 8569\n983 3989\n2338 5361\n60 4262\n7921 11000\n2396 8609\n6718 8134\n2357 5048\n5785 7573\n536 4795\n2776 6194\n2759 2773\n893 11355\n3063 5709\n274 10840\n3906 11773\n6896 11602\n1601 8044\n11195 11686\n4472 6355\n2924 4430\n1452 6954\n2247 8032\n4231 11298\n2352 11121\n7943 8662\n6446 10610\n10466 10862\n3309 5586\n4020 9149\n832 11453\n2215 3758\n730 8755\n317 798\n2002 5048\n4646 6686\n3488 9698\n1410 10436\n7993 9730\n1626 3591\n7463 12097\n2074 3273\n1849 5096\n8932 10025\n11445 11727\n61 9165\n9655 12114\n5768 9824\n4148 6799\n392 4333\n1356 7244\n559 10406\n10238 11792\n3814 11014\n426 2879\n1404 6638\n4024 4347\n5280 6403\n4978 7100\n1459 7863\n3955 8394\n595 5469\n2268 7161\n119 8147\n3848 8925\n1939 6657\n6660 6813\n4806 8084\n3874 11350\n1393 3393\n131 2556\n5502 10366\n2412 6740\n5738 8014\n2944 7358\n1429 5220\n906 5558\n4275 8430\n10454 11847\n2327 3326\n5367 11270\n3941 8367\n6076 6691\n889 1788\n1987 12178\n1333 11782\n6504 10185\n4875 5049\n113 4062\n3975 5336\n184 10283\n2396 3793\n676 8729\n1340 7055\n5680 8199\n1494 10461\n210 452\n2257 11584\n3951 10962\n2169 11761\n822 7037\n5977 10440\n2046 8884\n6530 10295\n8792 10759\n5150 7687\n562 1562\n557 6100\n6194 8157\n4519 12051\n1338 9657\n745 2136\n103 1310\n623 5325\n999 4482\n3423 10629\n7229 11904\n2245 9921\n1944 10143\n395 2728\n5233 8139\n7535 10471\n2720 6330\n229 882\n4459 6911\n5247 10499\n5750 9780\n4134 10167\n5975 7094\n291 8540\n205 9845\n7730 7975\n625 11066\n2322 5999\n7157 9655\n6482 6765\n37 794\n3441 7554\n9621 11428\n465 11183\n435 8875\n6760 10448\n4528 11501\n3484 10299\n6455 9271\n3996 6651\n2512 12106\n5525 6708\n7992 9591\n439 6003\n1688 4810\n3534 3724\n2388 9287\n4312 5112\n8626 10816\n1382 6012\n6900 10702\n1657 2869\n3657 6126\n308 11051\n2357 9488\n4847 11102\n5207 10534\n7600 11562\n4764 10815\n4419 10424\n2583 6689\n1923 3706\n7025 8722\n8725 11254\n1296 11059\n4418 11510\n608 2006\n2701 2900\n3328 4609\n783 9163\n6422 6908\n286 5591\n4878 12055\n1590 4421\n2697 3927\n2350 8674\n7505 8158\n1255 9495\n6562 6703\n6539 9131\n344 5544\n8185 9696\n7705 12115\n6678 9186\n1936 5525\n333 7519\n124 3755\n8824 10387\n7950 8158\n89 9270\n4554 10400\n2020 6064\n3284 6411\n7133 7175\n1317 7589\n3185 9158\n6744 7549\n530 6282\n1511 11432\n7684 8288\n1647 5004\n5824 10858\n7744 10362\n1558 2438\n7071 7485\n9468 9514\n4726 11144\n2128 9101\n768 1799\n2041 4496\n1623 2112\n6929 10717\n1915 8759\n537 2422\n6134 10517\n628 8899\n1070 8736\n8156 11970\n1343 3813\n124 11344\n3451 8808\n1708 4725\n1735 9803\n4920 5449\n4478 5311\n1034 6359\n6373 7191\n5421 6880\n778 7386\n5817 6865\n1749 9101\n9540 9990\n8636 10042\n5441 10817\n1010 3530\n5938 6453\n1870 7432\n8267 11023\n3363 5410\n184 8291\n2715 11168\n999 8276\n1364 5775\n4549 7768\n7882 9944\n459 3508\n5408 10868\n3477 5614\n864 9095\n2842 9124\n8900 9881\n2834 8934\n5665 7169\n10062 10807\n5452 6103\n1702 11834\n5219 8473\n5852 10324\n3552 11717\n2315 4946\n109 7870\n8334 9589\n10309 10998\n764 8185\n370 6021\n9479 9805\n2209 6937\n10075 10564\n6314 6738\n1336 6337\n2492 3821\n5263 5657\n1574 8302\n1048 6402\n291 1741\n4298 5834\n950 2377\n2773 3358\n677 6882\n5546 12094\n9240 10296\n5839 7970\n2051 3949\n1291 5953\n3165 4595\n1710 11625\n3446 10616\n7246 10773\n6535 11096\n6082 11741\n1641 7500\n7260 10926\n5160 6542\n1561 4156\n2957 9410\n192 11996\n8129 8291\n2562 11967\n1353 3277\n165 879\n1090 4780\n512 3526\n270 2351\n6998 11514\n6541 7336\n2171 3773\n4906 7100\n8237 8904\n4073 11941\n8170 10969\n8956 9840\n2594 11048\n6198 6866\n8379 9893\n6844 11912\n10786 11391\n2059 5627\n1559 7686\n7754 11252\n3884 8761\n2783 10472\n14 6696\n2938 6864\n4908 5740\n1759 11102\n966 1084\n1905 11106\n4119 5752\n228 10990\n8712 9542\n1082 7201\n2173 4464\n1497 2032\n9470 12028\n8513 11741\n4225 7174\n4982 11879\n3459 9538\n2605 6133\n1506 5828\n3405 11252\n7545 10785\n9793 10352\n5327 6497\n5181 11910\n1664 4391\n264 6054\n6503 10829\n2259 11328\n9562 10921\n6125 8313\n7658 11283\n3798 7634\n3963 9702\n1149 9367\n7049 11562\n356 9223\n526 1805\n517 5524\n8454 9917\n3686 9738\n9079 10611\n903 4609\n4452 5897\n9954 11511\n2813 10561\n6203 8849\n2167 12089\n4239 10889\n457 6297\n6978 11790\n1639 4810\n970 10747\n1403 8718\n7055 11710\n423 9239\n3784 11308\n4698 6911\n28 434\n4997 6833\n5893 9827\n3334 4269\n7751 12105\n7096 10575\n8780 11595\n313 583\n4139 10328\n8432 10320\n4127 7355\n1621 2087\n8495 11484\n9406 11357\n53 2718\n4163 7036\n4061 11953\n5415 5497\n6035 9789\n1185 8238\n5378 10756\n1216 8439\n4730 5621\n166 10247\n4299 11164\n841 7803\n4404 8010\n2503 9321\n2265 10654\n4150 12116\n561 6274\n4443 11104\n4433 5307\n7168 10417\n1248 6381\n6716 9357\n5708 7265\n4192 11426\n3763 11692\n1265 8376\n1528 5826\n3854 7804\n1962 9847\n2650 3674\n4148 6507\n268 10008\n3550 5602\n3362 7331\n4349 10043\n8995 11690\n1393 10121\n2180 3783\n722 12131\n3686 10376\n9963 11796\n6662 7936\n6704 10066\n870 8234\n1999 11102\n6986 8909\n2847 4744\n6003 9407\n4991 9355\n4073 6073\n4842 7759\n6840 9185\n1875 4894\n2153 3360\n10012 11676\n1548 9237\n390 11841\n1309 1619\n802 9143\n948 11602\n1793 6249\n2670 11347\n4462 7929\n10684 10883\n8212 9108\n6018 8306\n1195 6954\n1033 4060\n10547 10627\n620 10444\n6086 6869\n498 2583\n1917 9195\n214 9226\n6717 11948\n4679 5183\n2979 10200\n1947 4435\n2695 8554\n3473 5496\n9558 11313\n4697 5314\n5500 9156\n8168 11903\n10873 11633\n7283 9865\n5809 7293\n3277 10321\n310 921\n7100 11736\n919 3951\n4319 5277\n4352 7712\n7632 9971\n4027 10315\n6180 9891\n2240 5288\n3153 5623\n122 8723\n2561 7561\n1969 4974\n2944 8150\n2792 8467\n4274 5031\n5413 10328\n2823 4696\n1975 10072\n839 1099\n1543 9094\n409 6519\n1600 11613\n140 8143\n8283 12137\n664 9315\n5690 5935\n3800 11748\n9033 10837\n341 9994\n3266 5683\n4991 10288\n9459 12145\n2198 2592\n1012 7268\n8468 8537\n3184 9832\n6526 7137\n1520 9542\n9053 11587\n3271 10470\n2615 4611\n2225 11559\n538 6093\n4837 6004\n2089 10339\n6484 8817\n1813 11229\n6757 7938\n6405 9186\n5468 10835\n2294 8520\n8416 11359\n430 10915\n978 9665\n73 2824\n4920 10278\n1554 2065\n7132 11398\n7950 11881\n8546 8625\n1096 1525\n1584 10511\n4660 8510\n3457 7378\n1313 5100\n3983 8046\n3665 5498\n6255 11277\n3102 4715\n3336 3544\n1295 8994\n5999 9709\n94 5684\n1855 5299\n1907 2976\n1696 7787\n5372 10674\n1598 11896\n2833 9067\n7086 7914\n178 6964\n8016 11537\n7778 9017\n11225 11760\n1046 4667\n641 1563\n7423 11900\n3219 5340\n3142 7766\n1669 5796\n6436 7022\n4666 9521\n1153 11400\n5125 11730\n5852 7872\n216 6323\n176 1090\n6901 8997\n749 6132\n6886 8192\n10441 11379\n323 601\n210 3257\n1948 11059\n2207 9566\n1262 2185\n7381 12181\n815 7269\n1012 2774\n2427 9931\n3354 11779\n1414 6668\n132 3250\n440 8205\n3029 5487\n3341 10248\n385 5423\n1090 8973\n1874 11214\n3478 7747\n1805 9012\n22 10322\n2356 4028\n11783 12015\n2900 3218\n222 11112\n262 3052\n1378 11789\n7828 8441\n1071 2555\n5493 11432\n1569 8082\n4039 8281\n4927 7682\n6758 8859\n3712 11918\n5266 7452\n2847 9314\n5120 11593\n11180 12156\n416 4407\n474 3294\n933 9517\n3323 11388\n8510 10342\n1370 11017\n7846 10571\n798 9929\n3419 5958\n1455 3547\n8212 11396\n4275 4782\n10455 11038\n3968 7728\n3738 10020\n353 10329\n4464 5024\n2876 8788\n2852 6836\n5358 7324\n2812 10794\n3849 7481\n4396 4590\n2726 7554\n227 11136\n4050 9479\n5 413\n5738 8996\n1020 6268\n1305 10405\n4029 8586\n9831 11711\n1281 11286\n6247 10947\n862 6196\n3587 11788\n1997 4338\n2802 4276\n3207 7525\n3380 7069\n3227 6883\n2797 3936\n32 5082\n3142 6307\n2177 12111\n5962 8738\n7676 8776\n2087 5100\n3435 8056\n948 1211\n3003 4142\n2491 8349\n2646 11664\n3953 11120\n866 11976\n9596 10363\n4202 6692\n1032 9504\n1271 5470\n312 6872\n4365 10104\n1264 4190\n3284 8196\n1535 5510\n1140 7346\n3476 10284\n8339 9554\n1508 6005\n1097 6952\n9455 9886\n19 5586\n8381 12057\n1745 6602\n5396 7376\n4475 5595\n9903 10126\n1526 4991\n6148 8873\n1727 2487\n4239 11834\n2077 10304\n2345 8690\n7848 10408\n2662 8151\n6472 9726\n4461 10225\n4578 7752\n1052 5308\n1616 2402\n4957 7724\n1914 6770\n2600 5020\n11863 12090\n1711 8251\n439 5541\n692 10201\n651 8825\n114 1471\n833 4295\n4908 11036\n817 8080\n965 6731\n5467 8944\n5950 11101\n3811 11355\n4545 7670\n3454 11075\n8240 10638\n3158 8668\n3253 11150\n2160 2750\n3226 10664\n6149 6523\n5817 7716\n2550 7330\n3651 5858\n2785 3144\n775 2113\n3718 8894\n333 2572\n1809 5326\n7567 12032\n9185 10316\n6992 10762\n2835 11120\n37 2529\n2457 8933\n9438 11634\n6720 7239\n712 9357\n4493 12067\n18 2320\n5317 12026\n99 6369\n3062 9363\n6446 8380\n1531 1722\n6483 8140\n2753 12033\n204 8037\n708 5340\n3313 10408\n6536 9586\n8291 8904\n385 8686\n2724 6778\n6397 7494\n1282 2162\n3630 5717\n104 7001\n766 3449\n5553 7085\n6766 8387\n4847 11521\n8884 9856\n8349 10751\n1259 1742\n1887 9825\n9671 9847\n5699 10105\n5690 11580\n216 879\n380 11612\n336 8980\n889 3929\n6808 7371\n1083 8680\n1342 2384\n2960 11307\n1342 10216\n4156 8327\n5474 12135\n7642 8759\n8402 10378\n2604 4258\n8295 10437\n1039 1714\n1989 4332\n9851 10443\n8203 10830\n3733 10925\n3373 9665\n1937 11253\n593 1743\n2145 3785\n6293 10755\n311 8763\n1522 8731\n6970 7353\n7740 11189\n6369 6861\n4649 10024\n6211 9332\n857 10814\n600 10960\n10949 11802\n4811 5174\n2917 3152\n1048 5930\n6136 8827\n1001 11548\n1731 5150\n1979 3529\n2297 4844\n2637 6380\n2025 3417\n975 6983\n4722 5402\n2966 11056\n6008 9267\n7944 9636\n1227 2284\n7018 10179\n926 10332\n2215 3910\n6084 6206\n4404 9817\n396 6250\n3102 7208\n7535 8534\n280 9775\n2789 9941\n360 7683\n6367 9237\n6087 11776\n366 10805\n1859 4333\n2039 8872\n5314 6240\n1951 9332\n8437 11075\n574 12098\n9646 12014\n7499 7955\n1771 7112\n10089 10428\n969 8683\n4009 9821\n4108 11302\n2648 4920\n5457 10587\n1235 4727\n6037 10498\n1595 3947\n4573 8257\n1721 2075\n10087 10753\n1318 2677\n6535 7981\n2923 5381\n9257 12137\n257 8403\n2558 9453\n120 11643\n2158 11352\n8690 9548\n7050 9174\n10957 11879\n5581 8606\n7719 12022\n7056 11050\n2995 8711\n4398 7703\n1143 6636\n6380 8875\n532 9821\n4177 8715\n4608 6432\n1855 9050\n907 2751\n3976 4515\n4447 6855\n11816 12118\n218 9346\n2924 10521\n447 5041\n6939 7325\n11108 11130\n4660 7264\n439 4253\n110 2464\n1629 6461\n11011 11051\n3698 4612\n1629 7021\n3695 5152\n5249 7444\n11646 11982\n1524 7764\n5219 6157\n1276 8694\n921 5812\n6049 7711\n8803 12096\n2448 5247\n1386 1750\n7057 11207\n61 10997\n8689 8831\n7401 7641\n2349 10212\n3832 5447\n8432 10423\n2187 11675\n6324 11216\n4851 8231\n3302 3479\n1852 10157\n1877 3100\n6845 9247\n673 7575\n7336 8619\n4506 11154\n459 7477\n777 3497\n1846 4282\n597 7082\n5246 9335\n8768 12184\n166 612\n1104 3661\n7838 9619\n1114 7545\n1906 2474\n7418 9313\n7575 7700\n1486 9144\n2717 3658\n9432 10732\n7380 7480\n2749 11349\n3768 5123\n3919 10719\n5023 11279\n2917 4849\n5352 10213\n6337 9783\n4888 4965\n3547 12067\n4519 6839\n769 7415\n9320 11831\n8017 11952\n9568 11364\n2636 9080\n314 5150\n3628 4375\n2365 5427\n5440 9299\n4322 9909\n1431 1687\n1173 4326\n2337 6310\n1174 4556\n1348 3228\n321 5326\n844 12110\n7058 9322\n8971 11844\n8076 10762\n672 10497\n2483 8516\n793 4135\n2403 10641\n478 5674\n6990 8997\n363 7269\n2821 5872\n4238 7954\n6865 7952\n487 1255\n130 2061\n9411 9754\n4888 11104\n7249 8796\n3834 11223\n5784 11359\n10731 11958\n3152 4901\n1626 3391\n1935 9403\n5607 10247\n9102 11117\n7217 8008\n4728 11768\n2563 10279\n5253 10411\n784 6860\n1772 9281\n36 10978\n477 924\n6894 7409\n3669 6594\n3976 4480\n3668 6044\n7364 7740\n3143 5606\n1998 5655\n2360 2620\n4781 5860\n2182 5170\n5910 6694\n7997 10639\n239 4889\n2789 5827\n8977 11834\n3884 10851\n854 4718\n377 11387\n8682 9678\n6274 7583\n483 5500\n3862 8150\n7070 9612\n4879 10155\n707 5328\n5040 10880\n4945 11163\n3104 7216\n905 5005\n3022 3336\n193 6081\n848 4382\n4864 6197\n2220 9307\n8288 9495\n8122 8792\n5513 8595\n7858 10057\n10467 11522\n1621 2207\n9531 11714\n4592 10542\n5200 9837\n5041 5324\n297 4233\n4336 5531\n4926 9724\n6504 6655\n754 8297\n5566 7740\n981 6001\n2124 3532\n1380 3206\n208 4023\n2160 3539\n1636 3190\n4134 7210\n1627 6812\n3165 7755\n6769 7047\n10142 12103\n592 5011\n4472 5517\n78 12150\n2822 3916\n5143 6944\n2532 12155\n1122 9175\n3403 10525\n6092 7989\n10587 11198\n10815 12007\n10076 11893\n1794 6494\n1587 6878\n6399 8219\n1213 4086\n189 10842\n1229 9149\n3940 6812\n588 2750\n299 9009\n8147 10759\n3891 4041\n5287 5731\n4649 9644\n4337 5435\n4406 4777\n11162 12174\n2198 7521\n1822 2512\n1845 9040\n5360 10700\n4882 11347\n2494 3795\n3346 8621\n7262 8999\n238 4932\n5176 8335\n280 8837\n8383 12059\n876 7438\n1158 4166\n1940 11429\n4039 10675\n3141 4197\n1550 9322\n1419 6898\n1202 9842\n1833 5222\n2390 8992\n2892 5455\n2337 10096\n982 7607\n5304 8148\n558 11873\n2458 4603\n2794 9483\n4721 7511\n6668 9584\n5416 9307\n4221 10609\n7195 9559\n1363 4752\n5307 5820\n1754 11659\n9046 11246\n645 4121\n2186 2753\n6258 10594\n4446 10813\n4147 9787\n5696 8475\n9512 12110\n5852 11100\n3950 9316\n503 2638\n622 8913\n1449 6907\n3002 8359\n4818 9814\n2787 9344\n5369 6704\n2712 3899\n3801 5986\n8171 10570\n2691 6803\n400 8694\n953 10010\n6714 8703\n4918 10494\n1103 11978\n1167 11053\n5949 7296\n3609 5916\n1994 2949\n796 11987\n3876 11478\n1717 10944\n3492 8225\n5401 5935\n7598 11239\n2483 5219\n2824 4677\n8681 9306\n1109 3458\n7484 11789\n1149 9546\n6011 8829\n560 12019\n3028 8347\n3452 6417\n1595 9830\n1408 7694\n1202 4719\n9664 9997\n171 7246\n140 2633\n4188 8458\n1841 11316\n2863 6364\n747 11350\n5150 6242\n1270 2900\n2593 2626\n4756 12126\n404 4037\n841 10469\n1108 10310\n1694 11322\n2292 12107\n590 2076\n371 6773\n63 10855\n623 8204\n1777 6618\n1805 8086\n6302 10843\n1754 8090\n6775 6793\n8582 11734\n684 6261\n161 10393\n4218 6702\n876 7309\n2238 6519\n6533 6608\n2056 4816\n5349 10672\n6971 10746\n3043 3580\n5918 6018\n2249 7683\n179 1832\n998 7432\n6767 8985\n7178 8175\n7314 8498\n3177 10838\n4046 5416\n2360 4756\n2379 4996\n3910 3985\n3720 11578\n6670 11503\n1911 6612\n6443 11253\n4012 11621\n4572 5935\n4713 4878\n8908 9582\n9957 10400\n3278 6755\n2906 10924\n1061 11764\n3357 9691\n2888 3154\n5221 11794\n2308 2522\n7596 11953\n100 4982\n7409 10957\n6937 8037\n2159 11444\n6536 10164\n8169 9115\n4472 12021\n5551 6825\n4652 9016\n424 4659\n1744 5474\n815 6311\n222 926\n809 4774\n11226 11901\n2828 11657\n2373 10420\n8243 10070\n2762 7106\n2071 6439\n2220 8297\n1829 9949\n3030 3378\n3122 11580\n2518 8193\n9564 10053\n2104 7660\n9460 12037\n4042 8479\n265 3103\n8823 10147\n3068 5652\n3255 8815\n4172 11052\n242 11074\n3929 9750\n2640 3569\n3144 6447\n790 10128\n2831 10781\n6434 8263\n1044 4163\n3574 6058\n6113 6188\n4125 8653\n2823 11883\n9036 9452\n2980 11619\n5831 6948\n3149 9320\n3712 3862\n2548 12179\n556 7153\n254 9619\n1919 7071\n4811 10302\n3946 5608\n1287 4666\n2621 5991\n2449 7462\n8110 9853\n3455 10312\n432 10348\n3921 11782\n2100 8598\n5051 10439\n2115 5251\n831 10136\n1536 6777\n780 5148\n4447 4742\n5191 9460\n3473 5659\n5693 6352\n762 8398\n1838 9099\n6878 9581\n3583 11092\n1139 5957\n1486 10101\n6736 8045\n346 10506\n3543 10635\n7264 9079\n6815 7406\n5956 11118\n4925 9410\n9996 10364\n2365 6398\n1039 3621\n1712 9860\n553 11012\n580 7005\n2565 11881\n4273 8850\n2707 11363\n6630 11815\n70 6379\n857 1213\n10630 11202\n5893 7957\n10657 11702\n2648 3780\n4630 12182\n3598 12118\n2748 9469\n4591 7942\n4495 12134\n2032 11200\n2248 10480\n915 11654\n4849 5736\n6939 9580\n7829 11602\n11023 11645\n6450 7540\n1763 1859\n156 10186\n83 2915\n2459 2788\n263 12044\n756 10538\n838 1801\n5896 8125\n3951 11424\n5318 8921\n3045 9832\n118 2935\n2683 10954\n3492 7258\n7315 7807\n7805 11821\n854 6463\n3924 8412\n1291 5247\n286 3190\n51 7704\n1549 2039\n6541 12097\n503 8684\n3084 7237\n862 1339\n10617 11341\n931 4839\n6908 7206\n8043 10635\n2067 8357\n1085 10788\n2680 4223\n2783 7415\n5171 10123\n1014 1750\n3959 11364\n4031 4372\n344 8653\n3996 9463\n830 10150\n4124 4521\n3650 4611\n4851 10578\n4141 6311\n99 8426\n6010 7878\n1816 10935\n3068 9363\n7347 8300\n8556 9435\n5237 11726\n1643 3680\n728 6331\n6836 8592\n8065 11053\n2440 10164\n3027 5758\n741 1165\n1614 7686\n7893 8899\n7091 9553\n4853 7328\n5684 8153\n4699 9826\n11095 11587\n2220 2972\n4131 11917\n389 2633\n981 4996\n779 1695\n7979 9076\n3511 4700\n556 9480\n202 2837\n4159 7988\n510 10387\n3796 8115\n5648 11457\n4349 9175\n3893 3929\n2466 10214\n3791 7614\n5645 9849\n5226 10376\n817 7225\n8887 11143\n909 4417\n912 8996\n1260 11556\n6907 8226\n10148 11439\n2776 10999\n1125 1847\n8570 10953\n7052 7667\n6464 8844\n1050 10591\n4586 9979\n7095 9739\n11380 11742\n1301 8991\n127 526\n7003 11384\n2573 7346\n2961 5833\n3594 5254\n6437 10653\n4515 9086\n9212 9795\n3809 8350\n1128 10351\n3792 9176\n3366 10452\n2976 6422\n4830 6161\n2455 10717\n9926 10641\n6222 10267\n4250 7333\n472 10323\n6286 7344\n2569 8023\n2844 3940\n1775 9613\n4365 8095\n845 6423\n5427 6284\n3874 8152\n5124 9008\n2060 4930\n8553 9324\n1410 1817\n4830 6233\n2644 5828\n3725 7187\n7919 11313\n5747 7222\n2947 4059\n8566 11974\n829 10474\n6814 9523\n5294 5840\n441 10496\n9093 11036\n358 2869\n344 3831\n1291 8400\n3535 11886\n8215 11132\n2095 9192\n6609 10926\n3966 4369\n6689 10398\n351 12061\n3236 3568\n6877 9630\n6278 7073\n6647 9855\n1931 9851\n1152 9694\n7298 10676\n3194 4684\n4754 11054\n227 10433\n6010 11659\n1902 5845\n3382 7235\n1562 4367\n2457 10114\n3000 3382\n859 8177\n8115 8597\n4020 9547\n5654 10901\n2742 8180\n4711 10611\n3986 4488\n5472 10462\n2686 9880\n1772 6435\n1330 6489\n3302 5436\n2965 3236\n4908 7184\n3561 10677\n5261 7799\n848 8776\n5590 10336\n1485 4093\n8409 11487\n5779 11626\n7400 8770\n3557 9021\n977 5685\n8989 10138\n7366 9733\n8932 11562\n9099 12107\n1001 12081\n3196 7206\n5186 8436\n12 11103\n1793 11517\n3488 6124\n439 11353\n3734 11717\n10243 12134\n2202 11582\n1344 5203\n3433 11995\n1997 4908\n4366 9691\n7720 9557\n297 5174\n3185 8747\n4040 10345\n5291 5940\n1967 5859\n1230 6032\n4593 11580\n2148 8743\n1146 5459\n7546 10792\n4950 11704\n438 8723\n1229 2773\n505 11742\n9615 9856\n2852 5100\n6958 10043\n1447 8231\n3765 6506\n2796 8086\n9913 11912\n3318 10180\n1071 6671\n9496 10634\n3064 6958\n6548 10718\n9982 11982\n3353 6575\n3922 10173\n4825 10986\n9272 10436\n8384 11245\n4570 11121\n5992 6108\n3575 11472\n1740 11399\n6985 8930\n6197 10841\n8820 10011\n4555 11122\n4538 6341\n1022 6840\n6641 8822\n4737 8784\n5018 8484\n47 6514\n3452 5342\n3807 10576\n2396 4421\n1172 7685\n1583 6950\n4134 4183\n6759 7446\n6767 10399\n3176 8630\n5126 9743\n936 8448\n2685 4154\n3508 8921\n1516 11438\n272 4074\n5016 8663\n9746 11712\n654 1599\n4628 11558\n4870 10499\n1576 10593\n4551 4832\n7624 10054\n750 4523\n2207 10619\n4648 8229\n10273 10584\n2009 3551\n5761 11765\n1301 11261\n4538 12099\n4003 7607\n6426 7508\n5699 9431\n5947 9540\n5744 10567\n63 10312\n5416 6394\n6588 10371\n6456 8459\n375 3126\n8560 10589\n3503 7152\n7221 11267\n4079 9987\n136 11357\n5087 11792\n4148 4998\n6261 8514\n568 10899\n5352 8535\n3874 7618\n287 2160\n4755 5374\n1253 7733\n10530 11955\n346 4935\n1053 7365\n848 5717\n3894 5196\n2494 3889\n993 8126\n1424 6334\n413 5686\n5009 9570\n4671 5087\n3913 6432\n7221 9163\n2114 6472\n2402 7948\n10632 11799\n2169 6179\n2954 10200\n4232 9808\n5647 5702\n1077 8637\n7952 11122\n1538 3136\n1730 6911\n2574 10909\n7293 8517\n8181 11632\n507 7513\n5071 12178\n7083 7249\n10198 11072\n2101 4688\n9268 11154\n4223 7405\n991 1384\n8198 9832\n2057 6302\n376 1981\n6935 7387\n3482 11692\n7882 8065\n3471 8076\n6814 8375\n3632 10381\n6354 7321\n5936 10723\n1147 8490\n11091 12082\n4655 5264\n3721 4867\n1155 6404\n2749 9312\n304 6909\n7110 11572\n7040 10187\n1298 7065\n5189 7868\n6229 7276\n4981 6374\n5835 9042\n4593 11601\n993 7692\n766 10197\n5833 6236\n7987 9601\n438 2012\n3947 6150\n540 11634\n203 6861\n1596 8903\n1156 2564\n2732 6735\n8001 11824\n5420 10944\n8005 10736\n226 1817\n824 4308\n3792 5366\n3904 10331\n4906 7078\n2148 2630\n1529 5735\n1077 4572\n5534 9962\n8536 11536\n2608 6897\n6627 6930\n6843 10064\n7725 11083\n3218 4775\n1569 11866\n4056 5521\n1229 11990\n8064 11665\n9487 10417\n1384 10478\n8633 8734\n2555 9788\n4469 11225\n6840 11061\n6252 11232\n8618 9096\n5099 6576\n1987 6682\n6151 7103\n8275 9413\n6954 9802\n8490 11741\n9889 11340\n362 11245\n3750 7378\n1557 11173\n171 10965\n4400 8965\n1522 8943\n7404 11926\n2504 10432\n1345 6640\n5670 10973\n180 1270\n2779 10766\n2724 4971\n1144 2886\n6533 8272\n2380 5785\n3585 9295\n9941 10944\n6275 10255\n3718 8551\n965 1247\n2738 11247\n2039 3107\n709 10871\n7315 9303\n2596 4411\n6253 9806\n6198 10777\n2561 10940\n5165 10463\n274 7514\n7380 7970\n3231 5977\n5133 7488\n1454 4720\n1514 1641\n7118 9749\n4500 7679\n4197 10282\n1265 6297\n578 6108\n1833 8089\n7584 11144\n4245 8760\n6213 12028\n6943 9224\n704 4481\n5202 10004\n10309 11620\n5467 8980\n5966 10151\n766 11216\n3070 10972\n4185 8330\n6730 8635\n2229 4059\n2269 9852\n1387 2154\n105 7351\n3275 8528\n6577 9414\n4139 6150\n532 6309\n3090 6244\n353 12185\n1208 7006\n1593 3268\n1199 11003\n2937 6200\n10335 12068\n3747 11251\n1145 5599\n507 10701\n8046 9035\n2630 3571\n8718 8886\n6677 8773\n4979 6978\n913 10154\n4647 4663\n7499 7540\n122 8413\n4292 6851\n1179 2481\n3525 4117\n1630 5029\n2473 8374\n7353 9001\n6536 8732\n9250 9365\n1488 3007\n3621 10669\n1954 11781\n2973 6211\n87 11613\n6821 10325\n4618 11218\n2301 6377\n5744 11520\n1749 7607\n399 5555\n4282 11597\n3974 6534\n6949 8619\n2448 4843\n1643 5245\n3081 6672\n5657 11402\n800 9668\n3454 5334\n1776 6058\n10516 11910\n3621 7587\n3090 7953\n6347 10686\n7302 10399\n5840 7076\n334 8078\n524 6265\n5062 11657\n1273 7948\n5319 10032\n9324 11156\n4987 11985\n1436 8645\n1823 6320\n4637 5572\n11100 11821\n2520 4567\n4361 6994\n1353 9954\n8301 11029\n5259 5419\n5420 8400\n10129 10907\n9283 10092\n3873 8185\n6257 11673\n10019 11730\n2718 3495\n8164 9305\n2632 4385\n4929 6786\n7529 12098\n2531 2693\n5186 7590\n8800 9745\n3681 6845\n2278 7602\n9718 10728\n7945 9254\n4806 7406\n9507 10916\n2902 7484\n2853 7753\n3818 6484\n7302 12112\n6767 10529\n554 4374\n1500 5174\n5128 6336\n1933 10768\n4554 5161\n1729 10083\n2495 5612\n6113 11245\n4235 9313\n2193 7101\n4217 7807\n6309 11846\n4608 5327\n11229 11326\n6044 10711\n1807 8301\n1999 3818\n1883 10927\n4082 4920\n2685 5674\n1054 7299\n186 2373\n3337 10048\n2008 5117\n946 8697\n5402 6822\n2553 8839\n3688 5949\n788 11440\n21 12185\n6183 9701\n4168 6055\n9923 11088\n206 11651\n291 12122\n4703 6957\n7297 8832\n10821 11777\n7937 9703\n414 6699\n4365 5671\n1879 5959\n2032 6369\n7269 9149\n4818 8762\n2321 3771\n1392 5589\n119 11844\n149 6882\n1461 4288\n4904 11094\n3021 7681\n1668 6527\n2294 2833\n347 9413\n3985 9677\n4425 6104\n4069 5387\n3104 8204\n3483 5484\n7080 12095\n1886 7838\n8782 9778\n4380 4530\n424 3659\n1084 2788\n4140 5438\n8123 11331\n4059 10264\n964 6701\n6154 6409\n3400 7759\n1874 10046\n1080 9393\n1257 10047\n1436 1822\n8018 10141\n3716 6040\n7083 10502\n2801 11563\n3832 9731\n6602 7965\n1111 9722\n3238 7230\n10188 11162\n3877 12126\n8380 10668\n6261 9533\n207 10156\n11209 11458\n5363 9431\n2456 5483\n4049 5255\n1409 11184\n3537 10110\n9011 11005\n274 8138\n3103 6390\n2782 2854\n409 736\n3888 8815\n240 2826\n4322 8376\n6632 7228\n1874 10988\n5382 9499\n9084 11743\n4436 6454\n5145 7526\n5402 10475\n4107 6664\n3367 9140\n1299 5695\n3913 10430\n4120 9932\n5452 8158\n7421 9458\n2209 9111\n2724 9299\n4201 9908\n2058 10459\n5727 5959\n5281 7839\n8776 10848\n10018 10802\n774 1494\n394 7027\n2301 9833\n3600 9166\n2401 2484\n10683 11949\n416 9436\n7653 8742\n4629 6784\n5537 7531\n8332 8576\n6389 10255\n8027 11057\n6081 9172\n3258 4005\n7566 12117\n2407 9599\n488 10149\n9844 10006\n158 2473\n6803 10446\n1189 10433\n2258 6484\n2434 5537\n7126 10983\n1837 8789\n6997 11397\n9358 11213\n2217 9218\n2517 8295\n1268 8868\n1671 6143\n3945 7329\n3339 6861\n7144 11781\n10758 11291\n4490 6441\n27 11508\n10493 10884\n8674 10503\n5495 11460\n4455 6232\n2245 4369\n5709 9651\n4780 9280\n1271 2412\n261 11842\n6436 6437\n4471 10012\n10151 11756\n6848 11960\n926 931\n5009 10820\n1473 9491\n78 1604\n10638 11758\n1720 3910\n1607 8533\n9244 11004\n1365 5124\n3353 12130\n916 1542\n9634 10008\n4978 7714\n5310 7628\n6377 8006\n7184 10478\n845 5489\n793 9277\n8172 11814\n5010 7511\n366 1496\n3067 6492\n8352 10762\n3632 10475\n228 2175\n5505 9797\n4859 6008\n4718 7289\n3920 6215\n1468 7224\n3130 10196\n7 2717\n5540 11777\n6280 6928\n6077 9346\n6967 8933\n1490 3632\n905 12125\n6194 11647\n932 1535\n672 954\n1884 2660\n591 3309\n1592 6589\n1278 11038\n969 3823\n5907 6262\n3145 3952\n5521 9377\n3249 10435\n5191 11056\n4101 7884\n11247 11626\n80 2647\n1509 4996\n6359 12005\n5971 10974\n2190 8583\n4969 5915\n8285 12123\n2195 8698\n114 8492\n4427 7988\n183 10909\n189 5274\n897 6043\n2536 5851\n4297 8700\n7647 11853\n9126 11740\n9363 12105\n892 5842\n3112 10141\n2332 11116\n1050 7671\n10641 11924\n7520 10040\n8145 11201\n591 7865\n587 8247\n3097 4299\n592 3988\n2231 9245\n694 11358\n528 1454\n4098 7579\n2810 8667\n2354 11899\n3862 6240\n4970 6379\n1968 5884\n633 3356\n1189 6857\n3647 10447\n258 9243\n8375 11934\n1281 7952\n1780 6321\n3132 8642\n9962 10497\n4515 8728\n3843 11844\n5355 6255\n6285 11179\n9659 10134\n3335 10047\n971 11096\n1299 9369\n4987 12001\n11647 12051\n1988 10169\n2584 11985\n1003 4026\n1811 9088\n152 6627\n4074 9357\n822 10172\n10622 11327\n1363 4339\n2001 11497\n3859 5455\n767 10824\n1315 7889\n1320 9150\n4512 7411\n532 4496\n6241 7332\n6959 9356\n954 7580\n2071 4544\n4728 7617\n8585 11754\n152 8422\n53 6123\n4209 8488\n7551 11992\n788 7607\n2944 5322\n11105 11705\n9409 9572\n9605 9870\n1023 1762\n257 11250\n490 2284\n1417 3055\n5139 9642\n5445 6848\n856 1364\n1031 3251\n10432 11438\n89 4050\n1966 8563\n10984 11892\n2258 5106\n2643 3440\n2368 6832\n3511 5653\n755 6623\n2753 3817\n392 11782\n3327 4959\n1217 6626\n6527 7067\n5253 6490\n5542 6314\n3103 8071\n4363 9685\n1997 4906\n2131 6675\n9526 10415\n1451 6163\n9381 10369\n68 8348\n5813 7208\n11 1963\n1997 10472\n2916 6173\n8714 9471\n3303 9739\n3400 4215\n773 8048\n4554 7797\n5542 6280\n1216 8163\n7134 11977\n2128 6394\n7154 10837\n121 9260\n77 5170\n1917 11047\n5961 8383\n811 7292\n71 10281\n769 6190\n8270 11721\n1354 8394\n3145 7714\n4364 8515\n1974 9437\n2925 9214\n7068 9534\n6105 10209\n206 4165\n7827 10939\n6919 6962\n4253 8245\n4093 10264\n2525 11541\n1258 11228\n7478 10997\n528 10480\n6195 7258\n11402 11906\n9380 10540\n6498 8253\n916 7590\n4451 9998\n5580 11122\n8497 9019\n8491 8921\n6496 6569\n8308 9104\n279 11575\n2212 7571\n4286 6234\n1805 7868\n1548 11247\n6214 7564\n1691 5293\n7140 11335\n5944 10407\n10890 12182\n4197 7781\n1551 12130\n593 6883\n2745 10931\n8941 9161\n135 11559\n5723 9228\n4413 7682\n689 5787\n943 8736\n4675 10232\n3804 11726\n2339 5257\n5250 10275\n6827 7162\n9708 10356\n6895 9917\n4663 8338\n4017 10623\n462 11354\n2300 3670\n3812 7879\n1515 6008\n3810 6204\n3150 4409\n5448 7826\n6047 6941\n9510 11712\n2535 7491\n5236 6928\n992 7979\n1448 10322\n5909 8501\n529 9779\n2559 5334\n7159 9483\n6109 9198\n9243 12076\n7206 9607\n2610 10504\n3071 9992\n8627 8645\n1726 10215\n7942 10637\n5394 10434\n5552 6106\n7599 11639\n3346 9997\n638 3447\n1252 6325\n3023 11439\n6326 10950\n5214 7270\n2117 5086\n6933 7745\n2846 6344\n6849 9255\n6427 9576\n3650 7896\n78 6878\n2253 3399\n9241 10298\n3966 8719\n1878 3876\n2862 3093\n6865 8264\n1422 2591\n75 895\n486 4671\n3809 11968\n10616 12131\n11016 11633\n7795 10951\n3986 12036\n10402 12097\n4766 7895\n5902 6024\n2 8471\n957 11187\n1217 5041\n954 4165\n127 1681\n1021 8013\n6349 10408\n964 2115\n6318 11626\n3486 7917\n7320 12002\n5511 6164\n564 6722\n4638 10377\n2137 11110\n2580 5100\n12 7222\n9486 11310\n339 6588\n7499 10723\n4125 4433\n9808 10998\n4069 8381\n1895 11077\n5273 8691\n5468 6249\n5531 7240\n9951 11899\n275 4249\n3582 8855\n7298 7337\n7170 10527\n4513 8108\n1080 9690\n3879 4552\n6894 8308\n2374 6176\n399 10469\n4228 9484\n3234 4106\n229 4288\n8028 10463\n2592 2673\n1671 9397\n5909 10695\n5896 6492\n729 6059\n4680 11041\n2997 9115\n3791 8428\n5774 9928\n1870 11334\n3859 8858\n9292 9981\n10707 11021\n6418 9056\n4478 5144\n2451 10494\n9359 10532\n4207 7893\n8223 11901\n3861 6777\n3608 8960\n5186 10197\n1904 7575\n5794 6101\n228 5637\n10137 11143\n6436 6668\n613 1677\n6794 11349\n193 3652\n6519 7819\n7425 9958\n8062 9005\n4699 6364\n11195 11623\n2807 3881\n11203 11827\n2023 6764\n5044 5232\n6774 7140\n8596 8604\n6516 11108\n726 3846\n5928 8003\n7395 8139\n7034 9385\n5526 9420\n1707 5841\n9949 10351\n4212 10346\n2708 4334\n3984 5697\n9654 10445\n2318 9016\n3724 7144\n1252 7954\n5290 10720\n2062 4816\n2166 7529\n6424 6817\n161 4521\n3312 4939\n3747 10497\n1658 5032\n1248 11804\n2954 10661\n8225 9767\n1228 11433\n6847 9234\n5635 6784\n3535 8935\n8554 11297\n454 5000\n3153 10244\n3513 11730\n2811 9865\n8621 9348\n66 9258\n1364 5427\n2437 8817\n9548 12040\n10455 11757\n1731 6311\n4705 7408\n143 9220\n3783 5743\n2790 5692\n1327 1885\n3517 9251\n3840 3897\n10665 11011\n3888 8522\n3326 8145\n2843 7615\n2152 11847\n1189 3222\n2373 12026\n1534 2168\n2542 2858\n6539 6841\n2773 3137\n2125 7239\n5738 7531\n4401 12108\n5837 10975\n8474 9585\n7810 10362\n4187 9363\n4569 11087\n2538 11454\n7248 11136\n4720 8723\n4139 11937\n3560 7258\n6327 6664\n7077 10720\n5138 8729\n9853 11545\n3159 5142\n1327 1847\n2488 6214\n3381 7077\n3932 9631\n127 10372\n3232 7547\n2472 9469\n9479 10804\n5147 10759\n3976 6621\n7088 8964\n2613 10297\n2057 3870\n10224 11690\n6695 11505\n1574 5701\n3308 4088\n4940 9204\n11066 11468\n3695 3883\n520 2815\n5859 8311\n2487 2837\n4040 7279\n1689 11308\n6805 7636\n4836 11744\n4137 5854\n3319 9139\n444 874\n6448 10507\n2171 3533\n1021 7144\n1988 2488\n3869 5582\n4364 6853\n2003 10138\n3993 11759\n3177 7058\n534 2692\n4227 6934\n2335 8696\n8133 8786\n10560 11425\n2 7798\n239 9091\n412 12104\n5148 10735\n663 6049\n3404 5226\n5521 8185\n5137 6925\n4561 4598\n2566 9231\n570 11607\n5594 7213\n685 9200\n1183 8729\n6603 11003\n4483 11282\n418 3229\n2512 10392\n8614 11324\n182 452\n6335 11761\n203 3992\n2799 8092\n6991 9724\n2401 7855\n2245 9088\n896 7728\n6435 12169\n4455 8281\n444 5629\n688 9681\n9084 11999\n285 5437\n892 10149\n2110 2446\n1421 7733\n2696 9182\n10041 11557\n6625 8358\n5573 6896\n3924 5638\n963 1193\n1292 9582\n747 820\n7372 11654\n2473 11612\n1894 9126\n5680 7619\n1475 6508\n690 10848\n3024 5297\n3703 9478\n323 3279\n620 4954\n3869 7437\n1548 3273\n439 7738\n7321 7348\n2962 4974\n3438 5471\n5919 6861\n5880 11029\n8564 11794\n2234 8021\n1634 6308\n2058 8976\n4060 6534\n129 1495\n527 7461\n2602 8554\n2008 11491\n1929 8083\n3582 5848\n3773 3975\n10233 10533\n3243 3655\n7443 7886\n377 5128\n6478 11341\n3688 11769\n3207 8161\n3197 6455\n3213 10983\n148 2338\n6639 8053\n4345 7235\n643 11209\n2799 5236\n5156 10903\n5247 5421\n8592 8958\n9132 10748\n6077 7586\n5512 7389\n2453 10709\n7590 9344\n7036 10980\n10002 11894\n6688 8860\n6521 7438\n399 1667\n3430 4943\n6976 7164\n4279 8896\n8667 11425\n5954 10635\n4383 10863\n11658 11854\n7694 9716\n2599 8310\n10375 10388\n3779 10034\n8721 9075\n2019 10039\n5429 6773\n6669 10823\n3198 5826\n1848 3693\n1214 4183\n6803 10318\n9161 11648\n529 7168\n6913 7828\n2147 7536\n9237 10526\n609 11504\n3455 5592\n5657 11872\n6748 11605\n398 7832\n286 5326\n3229 9834\n9544 12090\n1169 11231\n6173 8263\n5242 11344\n948 4154\n8416 11392\n1078 6328\n2171 8846\n2380 5073\n6190 6382\n4080 4354\n2664 5413\n5759 12055\n8832 11941\n769 10248\n4885 6784\n10953 11344\n878 9194\n5286 12089\n3082 11602\n5211 6587\n3654 11092\n11212 11349\n619 1273\n143 7047\n1291 1841\n3651 9290\n3302 5455\n2369 5966\n4539 4925\n1826 10230\n4051 6160\n7231 12128\n6159 9784\n144 6882\n716 9378\n4296 11696\n579 7246\n4108 11701\n1250 2336\n7731 11754\n6008 11310\n4718 7021\n10242 10312\n337 10330\n2672 6035\n1684 7218\n3675 5613\n4320 6932\n4627 4657\n7734 8647\n938 9382\n6045 10981\n2704 6613\n6137 6186\n6322 11552\n2067 8981\n4101 11170\n510 1656\n4931 9276\n2431 3405\n3396 9947\n4388 5495\n7067 7437\n2504 6608\n1689 4741\n3511 10928\n4417 11461\n2174 9018\n2483 10719\n7600 10885\n12049 12124\n4653 8852\n6883 8652\n281 4237\n7838 7887\n4269 11739\n6725 10959\n3566 5367\n1118 12164\n335 6257\n6493 8569\n2473 5071\n5582 11594\n1894 10673\n2706 11364\n364 8365\n1749 11422\n1648 5216\n1895 2208\n1029 9866\n2777 11515\n6583 7879\n2015 6354\n2259 8949\n6724 10146\n2588 4647\n1750 7012\n1603 8977\n8637 10758\n4745 10330\n3008 9998\n4377 7377\n1691 11734\n5066 9967\n621 9233\n5753 6904\n5087 10989\n8608 8714\n6510 9241\n413 8080\n5207 8464\n5275 9328\n4079 11933\n1023 8054\n1511 9484\n6939 10329\n6835 6965\n6653 10283\n5316 11463\n832 2440\n7376 10308\n7394 10355\n1509 12078\n988 9713\n5620 10953\n333 7621\n4910 6132\n4543 8362\n6644 7889\n7131 8403\n781 8233\n2552 6810\n967 1732\n3898 5316\n6352 10773\n543 3690\n2407 9016\n7084 9518\n6109 8922\n2945 5140\n308 9123\n3593 7049\n3140 8088\n2076 2807\n3194 6690\n4699 11780\n3312 9786\n1518 9781\n6605 12148\n10579 10762\n4694 5956\n1193 1961\n5833 10847\n10031 10141\n548 6846\n6364 7116\n2395 7726\n926 1286\n3918 10341\n33 10345\n394 7427\n8133 10577\n6644 6787\n6042 7399\n4991 6065\n342 1338\n1046 8218\n2783 4787\n5146 9644\n6517 6610\n1189 2983\n12043 12099\n6527 8911\n7293 11977\n9270 12149\n8426 10964\n7448 8841\n1704 4902\n3121 7374\n4825 9343\n5363 6721\n10319 11004\n1743 5666\n1137 12089\n7366 11802\n1211 7862\n6466 9246\n6357 8444\n8768 9093\n5923 10968\n1729 3072\n683 3105\n6246 10621\n8243 9704\n6945 12033\n3248 4627\n4095 11239\n3002 4472\n5484 7920\n10912 12069\n2639 8510\n1255 7597\n8053 11171\n3182 3780\n1482 10356\n4548 10809\n1803 5452\n7489 9563\n10324 11256\n5298 7262\n847 3439\n3906 4919\n1003 6166\n8719 9127\n4021 9902\n1571 11764\n3206 3860\n6926 11630\n7838 11978\n795 6728\n10653 11510\n8341 11539\n614 3131\n716 2680\n729 10350\n2278 9566\n532 1020\n968 10038\n5077 9605\n4483 7052\n11082 11595\n8113 11338\n3147 6381\n160 5538\n3715 7005\n7894 12038\n4943 8486\n4637 7079\n7388 11655\n2206 6303\n8071 10886\n827 5713\n3747 9307\n2883 3078\n1111 5796\n3382 10396\n10607 11348\n7626 10873\n5019 6018\n2580 11562\n4064 7909\n772 4417\n7700 9598\n6565 6722\n1251 6654\n9798 10752\n843 2240\n11190 11434\n2054 3042\n2897 7411\n636 2942\n5770 6487\n10361 11770\n2147 8078\n4514 9468\n8576 9490\n4361 12066\n1884 2765\n1028 8495\n4748 6543\n2766 9034\n2858 7278\n3652 11697\n551 10735\n1492 5143\n10349 11514\n1469 11753\n759 4056\n2554 7200\n3954 10137\n10491 10603\n7035 8693\n3136 7637\n9694 10440\n2123 8808\n1299 6937\n2583 10550\n6953 8598\n772 9336\n2882 9938\n7220 7281\n2012 2309\n814 6694\n102 1211\n3753 9300\n10934 11280\n11109 11534\n6986 11790\n6962 10535\n7947 11354\n2739 11303\n477 8110\n2757 3667\n234 7612\n1636 4839\n8222 8392\n5654 7313\n6414 7376\n5633 9839\n3683 4859\n497 3530\n6771 9531\n312 8700\n2552 5574\n5889 9651\n200 2855\n300 3802\n7762 9467\n1586 10981\n3367 8920\n1610 5358\n4220 9024\n2196 10621\n2391 4725\n3835 11124\n9230 9676\n11459 11913\n5527 7941\n7729 9272\n442 8650\n6458 8303\n5304 9031\n1382 8996\n610 8906\n6151 8593\n4957 9241\n5069 6690\n461 11941\n3279 3405\n9159 9199\n1971 5608\n1507 5372\n2251 7044\n1706 8197\n2184 5856\n3612 10055\n2368 5253\n1461 3790\n4197 7289\n6638 9543\n2313 3074\n1507 9823\n1766 4901\n3420 8550\n3319 10166\n1123 11858\n3273 12108\n219 1358\n2564 7750\n6590 9394\n7285 11341\n7167 8241\n2639 8847\n183 7065\n3557 9058\n384 1809\n5559 9599\n2761 8333\n7860 8016\n1016 9329\n6735 11860\n145 3642\n98 3274\n4237 11088\n343 5473\n4509 5894\n430 11471\n5597 10328\n5810 8396\n6656 10130\n446 11079\n2295 11678\n1398 12192\n1141 10033\n5953 8066\n53 6275\n5191 8301\n2954 11948\n6392 8977\n6928 7407\n2781 5721\n4027 6110\n1356 5250\n8680 10856\n2060 2538\n5759 7656\n1275 10233\n2529 7009\n10854 12038\n600 5578\n6737 11336\n4402 7895\n3500 5164\n465 6816\n8038 10906\n2087 6257\n2878 4425\n2057 7825\n10007 10651\n5590 7484\n7459 10909\n5485 8878\n2975 5428\n691 4514\n5052 9732\n2740 4070\n927 5750\n4491 10873\n8023 10997\n3400 4208\n3795 9924\n3638 11004\n4466 10543\n5270 6383\n5949 10398\n3577 8827\n924 10862\n125 3590\n4827 10257\n9983 12051\n7786 10704\n2523 5804\n3886 6615\n7401 10451\n8708 9186\n3916 4676\n7193 12090\n871 9895\n1121 3386\n4351 9020\n2199 10204\n1531 7001\n3973 6328\n2821 8158\n3971 7869\n2917 7223\n8693 11364\n5058 11935\n2992 6258\n6895 8293\n1854 6606\n7488 8377\n220 5919\n3237 10514\n4860 5482\n6593 7112\n6701 11971\n8280 9604\n6034 11032\n2192 6400\n1612 8754\n5713 10494\n2814 7284\n5822 6110\n1676 4314\n2562 11730\n4124 7284\n8396 10848\n8244 11818\n2772 3367\n10217 10400\n9187 10153\n643 9024\n6467 9159\n5089 10204\n4141 4661\n5219 6576\n5647 8250\n9070 12042\n10078 11619\n5696 7358\n216 4402\n7844 8983\n3283 5603\n3466 6882\n3211 3472\n8636 11642\n451 6009\n5512 11945\n5631 10649\n11384 11539\n5134 5281\n9671 10452\n6472 8744\n1482 2352\n5206 7212\n3843 9868\n4993 11369\n4451 7651\n28 11835\n7262 10668\n2539 7764\n1202 7665\n2261 8250\n7937 10781\n8860 9739\n6973 8265\n10801 11486\n9382 12066\n4219 11627\n9854 12176\n3412 10786\n656 4824\n1366 10821\n7305 8502\n2246 8844\n6412 10316\n478 11084\n5373 7369\n1518 4255\n632 2671\n2345 8815\n6112 10228\n1402 11237\n3462 8029\n727 6906\n7140 9753\n967 3930\n6523 7274\n1318 7364\n137 4322\n5269 9850\n7047 10042\n198 6435\n1830 2611\n1810 12185\n3155 9886\n9192 11637\n3608 7887\n3260 5414\n6412 8795\n5238 8195\n5667 9820\n3609 10023\n6373 7892\n2618 7481\n730 6819\n1207 6422\n2546 9726\n130 3124\n1412 10646\n7678 8158\n7267 7872\n2320 3961\n3310 7918\n2086 11916\n821 2320\n5993 10259\n1909 9102\n6131 10552\n8943 10953\n1824 11641\n2740 8885\n225 1677\n3918 11308\n10148 10176\n8916 12046\n1647 5701\n3835 10657\n4786 11587\n133 9723\n1417 3236\n7547 10403\n394 2672\n3012 6503\n749 1693\n8543 11550\n688 1607\n7789 10489\n550 11168\n1310 7378\n10455 10553\n4163 7335\n2305 12135\n1846 7816\n5697 10434\n1981 7423\n5692 11158\n4122 11918\n3425 5134\n4534 11606\n607 11063\n2955 10019\n2418 5532\n4286 8843\n2229 3027\n2198 4872\n331 4984\n1344 4367\n4805 10666\n5712 9671\n3024 9808\n4498 5316\n2903 4526\n2347 2374\n813 7026\n1542 10217\n10434 12137\n3673 8155\n278 10430\n7534 9834\n1484 12063\n2868 3307\n5462 7220\n5269 10587\n6056 7786\n2603 5172\n945 3057\n4352 6625\n6798 9181\n5041 11207\n3544 6632\n2105 3420\n6939 10488\n879 8694\n370 11377\n6358 10062\n4716 9684\n140 1525\n4605 6403\n2905 2914\n9115 9643\n336 10043\n1640 6668\n7406 12056\n693 9686\n8826 11237\n8208 11303\n1757 11381\n3400 10392\n1158 5741\n9568 9601\n402 9723\n6739 9773\n2721 6823\n3829 4580\n302 10390\n6492 10888\n1737 3288\n470 4178\n3569 11696\n4475 5193\n5301 5337\n9181 10232\n6246 11904\n5886 7101\n1508 9270\n4967 11115\n5637 7576\n7027 8834\n11538 11958\n3283 3483\n1371 11156\n10906 11109\n527 1582\n7286 9356\n1044 5456\n6701 11859\n3101 9405\n956 8856\n6618 11178\n2662 10373\n2627 11672\n2304 6674\n8530 9323\n6100 7296\n4157 5318\n7581 9520\n714 4852\n753 6951\n1894 10249\n1090 2297\n6321 11669\n4874 9632\n3423 6462\n1793 4890\n3821 11479\n7613 9258\n5738 8240\n10959 11541\n2780 9297\n620 6206\n1253 1774\n3660 8352\n10846 11992\n8858 10988\n4079 11424\n855 4257\n8012 11409\n3536 6322\n7212 7746\n3108 4466\n10234 10959\n7626 9211\n6418 7918\n4956 11353\n1143 6197\n8285 8580\n1858 7330\n1349 7653\n369 8856\n3551 9824\n4135 10062\n4450 8974\n8978 10345\n5522 8235\n53 10786\n10022 10120\n2356 11633\n5233 8069\n8070 11714\n50 4606\n2 10150\n5726 7195\n1605 12166\n4260 5552\n1604 9626\n1636 1937\n7445 10318\n1196 6742\n390 1607\n4088 4768\n6350 9671\n3992 10635\n4156 6145\n1763 1841\n5510 8795\n4358 5815\n1083 9969\n4228 9105\n6265 11556\n4992 10372\n1043 1901\n3619 10993\n180 5952\n608 8340\n7030 11019\n1482 7507\n2708 11092\n2062 4606\n4505 6625\n4261 11102\n7725 8150\n4466 8097\n5321 12115\n2293 8212\n9259 10890\n9858 10264\n286 10181\n11166 11559\n7212 11373\n2697 10869\n7276 9475\n739 2690\n10664 11999\n6059 8750\n1548 5650\n9289 11470\n9658 10084\n318 8495\n3779 11310\n4122 9432\n4209 8350\n3209 7430\n7123 10326\n5353 10048\n6270 10164\n764 6693\n5980 9370\n8659 11527\n103 2642\n3813 9728\n4596 7155\n2790 3176\n5935 11944\n3413 3530\n10032 12122\n3206 10145\n10138 10781\n8675 12135\n4244 6644\n5352 8362\n1727 6210\n2449 7838\n4313 7727\n1011 2104\n5975 6141\n7843 8502\n4291 10082\n10932 11083\n4817 5661\n3547 9171\n1339 2322\n3237 6748\n9205 11845\n3930 8179\n6763 6788\n4031 10329\n1565 1569\n2172 7384\n4565 7710\n190 3365\n5168 6748\n1001 2129\n2470 6269\n683 11151\n1199 7406\n640 2839\n727 10779\n4895 10948\n1579 4631\n4114 9862\n6800 7204\n5409 10634\n1967 5540\n464 8751\n2307 11193\n6349 10861\n3170 3792\n2605 10810\n1051 1543\n5663 6255\n3237 7995\n3654 7844\n2771 8305\n758 11829\n2561 10309\n7518 11707\n3161 10751\n5190 8731\n6025 6249\n377 7206\n856 2379\n3034 8538\n3591 7162\n8763 11615\n79 8911\n1153 9236\n3558 11175\n5769 7395\n4591 10985\n5921 10704\n5991 7220\n3532 11633\n2668 6844\n2457 5517\n3036 6322\n4445 11435\n5408 8498\n7170 9672\n587 5186\n4628 10136\n6652 11613\n1098 6578\n7095 9544\n586 6318\n9270 9789\n2359 8229\n2403 4058\n2325 7995\n5648 6780\n5547 10000\n498 9533\n1517 2368\n7749 11375\n8748 11858\n159 2163\n7577 10178\n580 4105\n889 11077\n7395 9570\n7227 9793\n6526 10215\n9782 10795\n4897 6420\n377 4848\n4845 11779\n6475 11769\n1110 11091\n1675 6961\n10476 10693\n2697 7681\n3540 10600\n6029 11688\n1007 5983\n264 9097\n1715 9661\n1424 8805\n3256 5065\n670 2375\n5067 11201\n7118 7751\n5817 6845\n2611 4492\n2482 7805\n380 10666\n475 9550\n11330 12170\n7195 10361\n5424 10084\n5329 10237\n6752 9695\n6771 10724\n2771 9267\n2137 7664\n2485 4634\n7172 8809\n5674 9414\n544 9883\n4333 8500\n10487 11539\n5940 6313\n1931 3772\n2708 10932\n1349 4516\n6120 9694\n1816 6978\n342 9507\n6837 10759\n577 10299\n2788 3514\n4505 6142\n2782 6692\n3309 10762\n6919 8254\n2224 8730\n3557 10234\n868 7823\n1768 10590\n862 9547\n2157 7647\n6980 11475\n52 9463\n1552 2596\n3040 12144\n1767 4349\n3660 11966\n611 6557\n2562 2943\n6905 8036\n6369 11531\n3954 4965\n9262 11905\n4397 11891\n4669 5997\n5015 6370\n1695 4320\n4632 5411\n7273 8564\n1197 7331\n2705 11933\n3517 8187\n8924 9830\n11386 11856\n3657 7488\n366 6818\n6899 10076\n4644 10221\n5286 7049\n864 1536\n4610 11344\n3055 5416\n3215 4137\n10388 11783\n351 8960\n961 8767\n7333 8689\n5538 10017\n1301 2231\n7402 9952\n8000 10651\n8777 11266\n2102 10922\n9693 12043\n7426 9650\n9454 11548\n2583 9732\n1185 11368\n5624 10229\n3486 11427\n3360 12178\n4818 9876\n5897 6585\n3221 6744\n11171 12168\n3177 8480\n6177 10840\n426 1534\n4638 11504\n7549 11107\n2417 10027\n858 9014\n3608 10438\n4388 5610\n4365 7056\n7832 10414\n244 9284\n219 745\n3454 10732\n10028 12156\n5772 5832\n7209 9636\n7354 11420\n5495 6434\n7539 9270\n4712 8664\n6791 10406\n6185 8387\n5506 9197\n9318 12097\n3453 7253\n11227 11977\n9807 10482\n3329 6585\n1131 7927\n1163 6636\n3409 5564\n7724 8983\n5165 9109\n7467 7928\n5846 6872\n4275 6852\n2655 7259\n8449 10504\n7862 8798\n5878 8300\n6528 10553\n1184 4003\n5055 10492\n7715 10954\n2636 11987\n8332 8680\n10261 11804\n2885 6035\n9879 11235\n735 3558\n8579 10805\n653 5651\n3511 7429\n1687 3228\n8717 11111\n874 2207\n3419 4569\n2964 3891\n1864 9133\n4545 4802\n5120 11795\n360 6716\n1521 8194\n503 4315\n11730 11865\n6193 10261\n3088 11257\n10392 11832\n4577 7182\n7635 10010\n3214 11691\n649 11318\n8976 11509\n5722 10073\n7014 10293\n9636 10612\n1636 1776\n7198 7439\n3211 3916\n5259 9581\n2995 5471\n6841 11442\n3027 4487\n4640 8042\n3505 6342\n10298 10592\n5957 6892\n9341 9634\n2534 7767\n5104 10457\n7001 8022\n1154 7754\n230 9601\n3 11150\n3291 9629\n7831 9681\n4063 8249\n9894 10898\n3681 6769\n2351 5955\n510 6324\n455 3459\n8122 10419\n1906 4619\n4582 10993\n3537 11392\n7523 11365\n5207 7288\n1521 6481\n3786 9697\n7678 8182\n4150 6731\n6753 9203\n2056 10987\n4366 5157\n534 909\n1797 6702\n4591 4630\n3697 9860\n9130 11779\n3229 4843\n1726 6978\n585 11251\n9195 11729\n4109 7359\n9079 11840\n2847 7881\n3508 9032\n7828 8169\n2325 10868\n5414 9423\n3190 7449\n5999 8364\n3013 4780\n9488 12029\n4952 5331\n3358 4502\n1621 2382\n3605 4464\n4215 4536\n1665 7918\n5985 6689\n692 9404\n1790 11418\n3262 7030\n2249 3330\n1808 4112\n6458 11649\n8608 11262\n851 4860\n8231 10860\n3039 7286\n1131 5706\n559 11814\n1174 10286\n2434 11226\n1845 3759\n1483 11552\n2686 7040\n9146 10239\n1761 7987\n6737 11046\n4794 9806\n779 6211\n4784 4845\n117 5231\n3374 11820\n5466 8699\n4800 9220\n6301 9237\n5102 11379\n6059 9132\n8437 10461\n3333 9728\n10296 11449\n2836 10547\n266 7965\n8120 11713\n7519 11997\n2689 10019\n1391 4991\n2008 2240\n3023 11069\n8849 11758\n1698 11058\n253 1679\n4020 7960\n6082 6807\n592 6567\n4435 6614\n7346 11603\n422 7663\n559 3243\n1673 2411\n7671 11912\n4182 6878\n1209 8749\n4148 4317\n1815 2814\n1809 11314\n4596 9022\n7320 10840\n2100 2243\n787 4882\n675 9315\n8278 11107\n1587 5307\n3740 8606\n1810 7033\n3853 11235\n10078 11328\n3060 8239\n3949 10006\n9083 10546\n2306 5538\n2896 4795\n6567 9313\n2066 6754\n1529 6861\n2136 2971\n2377 4325\n2443 10763\n4843 6902\n2052 3799\n2321 5496\n499 10942\n6601 11057\n7659 11160\n7972 8623\n2270 9604\n1993 6804\n2264 2282\n7999 10828\n608 6571\n2680 8604\n1328 1970\n7282 8992\n7879 8243\n7050 7281\n299 4261\n4216 7270\n902 1926\n1452 6528\n695 2848\n2998 7394\n1853 2707\n691 10106\n4348 6092\n3075 6840\n2314 5505\n2495 4927\n1493 4513\n3588 11253\n8984 10525\n3300 5072\n6133 11769\n7700 9367\n5070 11233\n4184 4608\n2160 7712\n556 8784\n11151 11511\n7295 9743\n5488 7948\n5801 8690\n7701 8367\n774 11881\n8273 9139\n6142 9760\n3787 12009\n5640 6123\n1207 5099\n2446 6466\n1834 8399\n6167 8887\n1935 8986\n2509 10437\n3551 4905\n1940 12058\n3329 7747\n3793 8738\n4765 7597\n2809 4627\n4240 4864\n36 4122\n2412 9047\n2457 5190\n8449 12063\n6439 6689\n1466 4448\n6090 6414\n7635 8407\n2969 10937\n963 3880\n1856 3879\n5819 11131\n2542 3573\n6081 11141\n3420 9888\n5163 7043\n4883 10713\n8948 11614\n3437 6581\n2106 6928\n9018 11280\n8979 11667\n5469 8656\n6051 6416\n5689 7452\n6766 7167\n1972 2434\n1521 5653\n1326 9567\n6384 6878\n178 4447\n3934 9650\n3278 6249\n1873 8191\n10953 11588\n1696 3129\n3222 6017\n5153 11283\n7549 10763\n3329 3636\n1362 3793\n8753 9956\n1747 2412\n2086 7368\n4391 7952\n3479 4849\n1008 1256\n2157 6404\n3722 6871\n1907 3046\n8075 11910\n810 3625\n8791 9767\n734 3552\n99 5095\n1001 4877\n7699 8324\n2039 11559\n7783 9746\n1892 6177\n3029 11365\n10398 10865\n5061 7439\n1567 4576\n6073 10569\n7121 9732\n912 3298\n440 1339\n1940 5766\n2286 11717\n8877 11564\n8992 9041\n5173 5215\n7299 8226\n4776 7832\n1546 6114\n3813 4655\n5438 12188\n2394 4480\n5850 11543\n3865 9569\n5851 8166\n8574 9289\n8870 10342\n4677 5275\n1166 7247\n1385 8353\n4115 11456\n845 1151\n5024 8604\n2335 6230\n1336 7008\n8654 11399\n6545 12022\n9127 10240\n2664 2848\n6333 7411\n8965 9867\n3779 9126\n2573 7858\n2063 7901\n1762 9004\n35 4784\n4861 7388\n1537 2675\n3756 7861\n1114 1675\n6183 8601\n5718 9410\n5049 11349\n9301 9367\n3058 7571\n265 4896\n3144 7148\n337 1735\n1002 9294\n6101 9855\n4031 5443\n4636 11929\n2581 9259\n7601 8263\n2537 8862\n4196 4281\n5254 8838\n1065 9182\n3463 10796\n4675 9149\n5487 11130\n760 3851\n8681 9354\n1206 8136\n929 2929\n3779 5736\n327 3544\n2142 5570\n6792 7471\n9659 11174\n4192 6290\n3577 10344\n4332 5902\n8810 11841\n203 6265\n1936 9790\n6501 10358\n7758 10073\n7515 10649\n1885 2749\n1442 5958\n1307 8299\n3562 6796\n9416 11698\n90 3707\n7222 7714\n4272 9140\n3714 8298\n5647 7383\n4410 7005\n3974 5137\n4637 10167\n967 1430\n4286 8555\n2333 11646\n4534 11815\n709 8526\n5931 11679\n2891 5708\n4289 4958\n4799 11741\n3181 4687\n3569 6586\n5068 6440\n4379 7933\n2683 8024\n4473 5701\n5407 6118\n7193 9773\n53 4245\n6014 9092\n3789 9138\n8625 10394\n769 8367\n1328 6029\n4498 10648\n6847 11831\n1322 11581\n2550 5981\n6349 9432\n8627 11353\n958 5211\n3628 10694\n4203 6275\n10276 11831\n4151 4657\n667 11000\n3953 6172\n8860 10655\n6356 8079\n1757 12172\n3128 9568\n6239 9775\n3836 9962\n4065 6985\n9847 11012\n5878 11050\n3503 4145\n950 8409\n7905 9575\n1892 2612\n178 2276\n3518 6532\n10454 12178\n7313 11120\n10086 10493\n5967 7127\n4062 6333\n5597 9495\n9427 9603\n6879 10454\n2231 4272\n1017 1679\n881 8712\n8597 9192\n6408 10817\n9425 10890\n3222 7992\n3682 10959\n4817 6163\n6849 8757\n5692 11985\n8683 8984\n558 11870\n48 6838\n9825 11428\n8414 9802\n388 5402\n495 8999\n9352 10380\n1447 6304\n4143 9404\n843 9736\n2676 7124\n4626 7702\n3174 6942\n3613 8782\n5313 6483\n3510 5607\n2041 6783\n7271 10494\n6079 8004\n8383 11351\n3455 4353\n7384 10086\n2570 3760\n4621 8435\n1214 6288\n1018 2544\n3770 9302\n5598 10087\n296 6269\n2078 8409\n230 8201\n3790 5305\n4230 6824\n6513 7018\n4311 10421\n5791 6022\n6540 9797\n2564 4130\n1352 1705\n337 11251\n6100 9864\n7227 10312\n2063 6560\n6492 10515\n2688 10014\n5550 6049\n11655 11891\n3186 4632\n3407 5571\n6519 7850\n4428 9112\n1271 5196\n5500 10911\n7724 8327\n4575 5922\n279 6589\n6221 6593\n5500 6781\n3364 6582\n2803 8792\n1875 8577\n229 8489\n44 5392\n5437 12020\n940 5391\n2781 7760\n3619 8065\n7244 9467\n3591 6681\n4178 5704\n2600 9488\n1219 4360\n2984 10626\n4599 5618\n5969 9811\n6390 9926\n2889 4805\n284 9941\n1124 6690\n4163 8369\n7677 8620\n9699 12141\n4031 9055\n27 9598\n4593 8798\n5240 10877\n2738 10992\n7677 9291\n7513 9368\n2550 5688\n3942 9967\n1633 4180\n7107 8759\n899 7883\n1535 6643\n4212 9696\n9351 10529\n537 9847\n4023 4342\n3391 5014\n2389 6066\n4713 7624\n4063 10585\n1504 6563\n4360 8105\n5401 10999\n958 5474\n2801 9148\n4805 8005\n1208 10320\n4933 9916\n4499 10982\n4499 9585\n384 2951\n1818 2223\n3465 8484\n2456 4445\n5334 9802\n513 2514\n4777 9657\n9146 10925\n10371 12155\n5739 12049\n4051 11664\n7944 12001\n1800 11915\n1887 4574\n2328 5461\n646 7966\n877 1299\n9238 9402\n998 9949\n5808 7921\n1608 8982\n2791 3448\n2357 4154\n3488 9636\n764 3589\n1762 8541\n711 1344\n2424 8634\n2077 10284\n3950 10424\n469 9037\n2054 10734\n2053 4479\n9890 12147\n635 1981\n930 8727\n376 11653\n595 6502\n9847 10449\n4228 11271\n31 3240\n4390 9188\n7245 11297\n7546 11307\n7109 10360\n4232 8419\n647 8007\n519 3146\n1044 10415\n1108 2795\n7626 9954\n1482 7681\n3146 8990\n685 4676\n10270 10901\n3079 9232\n1130 1839\n4533 11230\n358 7927\n2917 10748\n9867 10863\n9174 9843\n2638 4376\n1844 4585\n5244 5253\n4363 6549\n5613 6747\n6338 8779\n974 11278\n2624 5187\n4689 8588\n10689 11708\n1979 7062\n3896 8849\n4962 9543\n655 11032\n1994 8121\n3185 5890\n4597 8679\n2287 6758\n919 8725\n4053 8146\n436 4226\n2683 3700\n3454 3919\n708 2626\n9481 10473\n3212 7743\n6878 7579\n6384 9026\n1511 10380\n2151 2326\n9589 11715\n7153 11283\n8764 9205\n6067 9697\n6805 7934\n8676 9735\n3593 8917\n5506 11220\n3147 3616\n859 10510\n465 3477\n10419 10500\n2073 4922\n2276 4738\n4449 10318\n3929 5548\n4630 5596\n1598 6520\n2516 2597\n7199 9319\n6747 11241\n704 3887\n4145 4446\n3082 4850\n4444 9297\n190 8886\n206 11774\n276 12116\n4045 5734\n935 10823\n356 6704\n280 6615\n5171 11787\n7284 10386\n4746 9798\n3625 11483\n4029 8522\n9590 9714\n118 2061\n1678 11426\n5260 7412\n651 5659\n285 2613\n7586 9258\n1133 8563\n7563 10568\n113 1207\n2427 2824\n3611 5397\n403 8946\n3223 6572\n801 2108\n5921 11214\n11712 11945\n711 5695\n1291 4804\n4407 11720\n1924 4978\n6080 9241\n4905 8240\n5541 12159\n1879 7683\n7645 9214\n9083 9785\n2598 7335\n7372 10835\n234 4740\n2057 5976\n2815 10341\n2430 9825\n1605 7992\n8297 10286\n7390 8027\n1440 11817\n5165 11645\n8647 9857\n6738 11252\n5740 6413\n1125 9406\n1694 9831\n1607 3774\n632 7992\n4066 9332\n6488 10598\n984 9057\n902 10192\n3018 12187\n598 11892\n972 10716\n1173 8004\n7982 8437\n9778 9802\n4868 10906\n3403 4574\n6419 7577\n7712 11563\n5062 9270\n5811 11005\n6713 10952\n5868 6743\n4759 4993\n8498 12170\n5869 10641\n1394 10926\n9208 11436\n3407 8507\n4312 4687\n4168 4554\n2199 7933\n10391 11862\n4062 4983\n3932 4262\n2032 3565\n644 2143\n4247 11270\n3130 3516\n10437 10526\n7954 10251\n2443 4606\n3011 6916\n3024 7182\n2840 6572\n2407 6992\n8145 12150\n5658 8206\n5558 7902\n5199 10509\n5345 6518\n6842 7789\n20 5130\n230 1984\n3152 6850\n9728 10743\n1779 8498\n3854 8540\n7990 11384\n8429 11223\n1491 7509\n4136 11296\n5211 6673\n9320 10058\n10711 12054\n8333 9674\n399 6936\n897 5396\n5238 5956\n5000 7399\n3145 6924\n2378 8300\n6591 9835\n683 8191\n1504 5973\n7287 7983\n7530 9512\n7569 7951\n3638 9330\n4167 6530\n6118 6961\n9176 9406\n381 3752\n7737 8068\n7350 9375\n915 7275\n1342 3606\n6372 7497\n1692 7560\n7691 11248\n2498 3575\n3445 9538\n3210 8473\n2584 8706\n8794 9606\n8498 9575\n3044 10338\n1054 7509\n2275 6029\n1957 3291\n3053 4818\n206 11666\n7384 8312\n8840 9569\n6230 10088\n8828 9519\n6293 10762\n5009 8358\n1459 2596\n8701 11751\n3853 8607\n6469 7140\n7508 10000\n6441 7875\n9891 11045\n1610 5747\n6209 10306\n185 10224\n7161 11772\n715 8169\n4420 5668\n3190 3996\n1331 3265\n6197 10491\n5119 8430\n3136 3446\n8888 10891\n767 2854\n4617 9611\n6138 11704\n1434 6089\n4956 11958\n9475 11567\n3166 5286\n2785 6993\n4777 10212\n1750 4837\n7585 9185\n5720 8595\n6394 10990\n8233 8582\n1423 9248\n7726 8804\n61 11758\n655 4464\n4499 7881\n374 3285\n5461 7571\n7953 10266\n11066 12154\n3094 8592\n6147 9701\n240 8062\n2787 9665\n2858 8166\n2492 7271\n1392 7499\n1089 5655\n4600 6634\n5934 11777\n5619 6631\n3660 4453\n1989 9746\n4310 6239\n8871 11094\n5535 6827\n4106 12106\n7003 8862\n8835 12015\n3202 10237\n11751 11841\n3453 6480\n2514 3902\n7458 11340\n9355 11543\n9125 10427\n2275 5003\n6720 7698\n6402 9581\n2540 4206\n9231 10371\n1546 7289\n2368 7625\n955 3382\n5157 6289\n7781 8612\n8977 10235\n404 11308\n501 5010\n4464 8486\n4940 12110\n6061 11925\n3644 11861\n7670 9744\n1500 2795\n3221 6216\n2894 3467\n3527 9019\n5292 10352\n3057 4322\n3881 6892\n5738 7820\n9648 11112\n7036 9853\n6430 9313\n3178 5944\n697 1527\n2917 3883\n2121 9886\n948 4122\n8049 8974\n1461 10728\n4593 9318\n1769 5425\n2376 10624\n3321 7716\n5963 9981\n6929 10722\n5962 8211\n291 5084\n6611 11222\n4557 4697\n1418 3395\n9319 11080\n2880 4603\n6249 8151\n222 5025\n3046 11003\n1734 11182\n3470 4334\n7240 12023\n5484 9124\n1704 8607\n166 4778\n7736 10923\n593 6310\n4009 11610\n9084 11036\n412 4996\n3196 4445\n7271 7624\n3093 7446\n5067 6177\n6716 10388\n3590 4511\n9374 11624\n2883 5963\n571 7818\n5115 11089\n3475 3680\n292 5890\n2930 4117\n4601 9308\n9975 11799\n1222 5819\n3622 6535\n6813 7681\n7413 7926\n366 4214\n2246 5944\n3739 11101\n7441 10362\n942 2891\n8379 12086\n7342 7605\n4362 10795\n812 9805\n496 6100\n7297 10535\n5731 11304\n4742 12036\n2210 7533\n7215 9521\n6524 8654\n3558 10233\n1746 9652\n2673 11793\n2292 10037\n593 2430\n4599 11055\n270 1341\n8794 11982\n4172 8816\n4581 8478\n6394 11967\n7398 7851\n1053 8079\n1298 1537\n1422 2939\n340 6444\n3164 11740\n2390 4095\n1206 3063\n8577 10431\n10538 11803\n896 3272\n7656 9116\n3277 11786\n4196 11572\n6 3693\n8036 10195\n3688 4851\n2463 8246\n729 9587\n1085 9501\n8471 11968\n925 9531\n4446 11965\n1344 2508\n10086 11320\n3645 7354\n1220 2353\n8404 10049\n10115 10894\n4435 6258\n3792 4069\n7569 9074\n1551 11090\n1496 8704\n9877 10187\n1163 5467\n1948 2316\n6056 10346\n2255 5911\n3795 6372\n556 5974\n439 1295\n1975 2264\n8884 11984\n3580 12008\n4899 10014\n4321 6259\n1321 5828\n2147 2892\n4348 5011\n6789 11906\n10410 11831\n724 835\n9451 10002\n5625 11806\n1013 2336\n10406 11067\n3564 11458\n3114 7666\n2774 3027\n493 11826\n6874 7871\n4999 8587\n5038 5179\n3287 3354\n2185 8559\n6752 7982\n5063 11170\n6751 8638\n251 7466\n1819 2359\n4268 5283\n1187 5802\n3917 8728\n1957 6582\n1961 2622\n4257 11636\n415 7689\n8898 9307\n3987 7513\n2042 8455\n602 5314\n9194 10491\n9295 10434\n5582 8397\n3597 4416\n5248 10162\n2734 5197\n5947 6466\n3468 9902\n5617 7221\n2405 12144\n922 8664\n4525 7859\n956 8902\n3897 11514\n5291 9092\n2298 11639\n8507 10438\n6141 7201\n1714 3607\n1674 8937\n2289 12133\n545 9927\n1109 12118\n8580 11130\n5071 6458\n10964 11061\n2290 8730\n5216 7162\n1475 2354\n175 1494\n3213 5664\n9854 11127\n808 6484\n3685 4459\n6423 8282\n9035 9506\n2752 5874\n4568 6540\n502 5148\n4202 7265\n4350 11472\n2513 4706\n7848 12148\n4226 7327\n8089 10776\n2914 8200\n6556 11778\n1116 8748\n4631 10257\n2665 8033\n2267 3201\n3207 5390\n2706 4826\n11165 11312\n5803 8267\n1485 9814\n2978 10129\n8775 9548\n3518 4067\n9860 11262\n1446 8130\n7058 7545\n1612 10052\n5828 6179\n433 2382\n4807 8154\n1247 4381\n3635 4280\n1203 5976\n5062 12027\n2724 11028\n6306 8147\n2784 6679\n7820 10362\n3115 10580\n3867 4657\n2518 2691\n7482 10120\n4401 5152\n545 6120\n433 5597\n6529 7263\n1644 3808\n318 6028\n205 8542\n6443 8312\n3031 4004\n4103 6840\n375 6944\n7859 12008\n4453 11682\n2899 8185\n1871 10743\n4810 9237\n4722 9343\n3335 8261\n754 11521\n3908 6932\n683 832\n1121 4117\n3204 6639\n2159 10764\n4588 9084\n7028 11541\n1257 8842\n2053 12156\n7791 9897\n852 8477\n3259 11025\n2229 6955\n1016 3617\n42 8991\n3906 10065\n5314 7368\n5388 7002\n4706 4731\n6552 8662\n1518 4559\n3239 5600\n11692 11965\n6611 9204\n1476 6231\n7951 9863\n7466 11319\n6815 8437\n4133 9298\n1600 2664\n361 8160\n3764 7713\n3579 7367\n2019 12061\n7668 11456\n5685 7862\n3182 7478\n8366 10404\n696 9175\n9810 10587\n3341 6882\n6553 7210\n3406 3726\n4258 8203\n4601 10594\n446 726\n1761 10825\n1309 10562\n851 3258\n275 8508\n7609 11728\n1144 11891\n5618 10242\n10143 10707\n663 8688\n2182 10093\n11081 11801\n4720 9663\n3657 11819\n7732 8036\n3820 10601\n278 8843\n7749 10256\n1333 12169\n8374 9461\n2552 3519\n6593 9245\n8542 8586\n7175 10337\n7353 11739\n7740 11780\n2498 9262\n15 4300\n6667 6972\n2265 2390\n1750 4547\n8539 9125\n4473 6070\n6415 6697\n11107 11806\n1513 2383\n5190 6438\n8559 11287\n3186 11552\n4750 4793\n626 7606\n5606 8053\n4762 5173\n204 12072\n7747 11414\n2944 6341\n6382 9142\n1048 5017\n7847 9103\n4468 7107\n4215 6036\n10524 11088\n21 6826\n1386 6712\n1400 8326\n6247 6432\n5131 5977\n4553 10976\n5992 6075\n1767 12162\n8026 9603\n9317 11291\n1325 9840\n1125 2530\n1088 5641\n2060 7920\n1548 6492\n977 7116\n3781 10046\n5515 8959\n523 2954\n6898 11406\n2151 8952\n1050 7240\n10576 11864\n7085 10236\n4752 11700\n2494 6962\n1507 4975\n1331 4024\n6501 8964\n2086 4635\n2256 5367\n686 1586\n1712 5766\n3230 3477\n2668 2947\n6323 11663\n1649 3931\n5470 6008\n3477 9661\n234 4525\n4773 11175\n965 3065\n6158 10709\n108 5273\n3634 12030\n7178 11974\n3415 7197\n6080 6105\n3939 6741\n2739 4710\n1459 8489\n3788 7585\n7580 10789\n1095 5733\n7099 8529\n223 10171\n115 11196\n1904 11482\n316 3627\n516 5270\n913 8050\n5316 6355\n4965 5031\n10546 11502\n205 8051\n1783 9980\n831 10046\n6921 6986\n2269 6323\n6734 10676\n1805 8173\n1942 3715\n3812 12189\n9027 11083\n2741 5268\n8906 10379\n323 12017\n2758 9417\n1097 9672\n6540 9531\n4579 5348\n3745 10037\n5867 10674\n1112 7390\n7611 8075\n1729 12035\n9531 10295\n202 2913\n4406 6354\n9599 11220\n341 1221\n9926 10059\n2304 7171\n1016 4928\n2096 2266\n2496 10181\n1251 7959\n3124 11973\n8574 10644\n492 2783\n2884 4491\n4585 10923\n4619 4956\n1468 9006\n7023 8074\n1270 3252\n1916 10811\n7282 11171\n2488 9762\n1312 9510\n4109 11445\n2945 6084\n3308 6606\n3069 4834\n6540 11372\n3159 5114\n356 9832\n5996 10172\n1456 4838\n7316 11660\n6050 10184\n6830 7965\n290 8837\n9720 11060\n3318 9017\n3751 11159\n2394 6348\n5694 9354\n9662 10744\n1851 9152\n8891 9928\n4703 10100\n6911 10145\n6272 9540\n251 5225\n7666 11415\n145 11226\n905 930\n2782 2838\n1437 7059\n1081 9730\n26 11505\n3477 4955\n2318 3764\n4656 11845\n138 3469\n2441 11537\n3822 5813\n7104 8411\n4142 6977\n510 9440\n1966 11874\n8767 9042\n4660 11753\n3137 5721\n3911 5387\n4238 10473\n6039 9135\n2782 3470\n3768 7413\n6198 9452\n2549 10075\n8362 11341\n11057 11295\n5361 8689\n3302 9827\n2280 5418\n3361 6246\n70 3771\n3439 4495\n7172 9465\n7180 7298\n5693 11788\n3057 4981\n2828 8292\n994 9951\n1113 4178\n1816 4923\n6743 7755\n5952 10328\n3132 11219\n4110 8704\n5996 10357\n10178 10394\n3052 4646\n2196 11763\n443 492\n8359 8908\n5760 8630\n363 6714\n7848 11648\n4621 10751\n1133 8783\n5608 6064\n254 2539\n7945 9361\n1807 7216\n3064 7426\n8597 9352\n2964 4533\n1202 1706\n8477 10424\n2452 7322\n2459 10697\n2615 8156\n2955 10588\n1233 7171\n5524 5657\n10273 11825\n1607 5653\n2545 3367\n4392 9312\n6081 9346\n9363 10743\n2771 11226\n1282 4903\n2917 4076\n5347 7945\n6069 6469\n7110 10617\n8033 11325\n1416 9527\n5190 6576\n6103 8582\n3009 11571\n91 6821\n4448 5262\n2516 4180\n7925 8351\n2959 8319\n4595 4923\n5127 10637\n2740 8761\n1078 8170\n4838 8252\n2089 2365\n3517 6157\n9264 9626\n11847 11951\n3982 5908\n2543 11942\n2342 9548\n903 3332\n9417 10429\n1818 11185\n2453 9281\n6955 9989\n4137 7544\n3271 6413\n3259 5546\n3858 8673\n5 5003\n4745 5149\n4778 7035\n445 11111\n3571 8070\n1614 10359\n2640 11593\n11072 12126\n2206 10937\n506 1827\n5306 6715\n740 4268\n58 5145\n5938 10209\n6175 8048\n4026 10586\n7625 10707\n63 9912\n119 7004\n1098 6962\n2440 3774\n1651 3380\n2972 6958\n6245 11611\n5238 7343\n3171 3265\n2653 5418\n3000 7038\n10735 10855\n5299 6051\n5447 7347\n5327 6890\n7400 11095\n8004 9131\n3215 5296\n5193 5861\n1436 6245\n9144 9989\n2599 9165\n2152 11575\n9131 11823\n3307 9370\n8430 12179\n1658 1669\n7230 10985\n3448 3628\n3934 9209\n180 8717\n3111 11121\n1979 4714\n7816 9572\n4779 8906\n9126 11869\n6079 7486\n10216 11183\n4203 4743\n4130 9407\n6233 9929\n493 9184\n2156 9845\n6511 7058\n152 11338\n3470 5957\n9322 9883\n4400 10583\n744 5368\n1566 3005\n2027 3787\n5274 5820\n6994 12071\n2566 3862\n7294 12073\n3391 11303\n5956 10044\n3872 8863\n2228 2972\n8966 9352\n9978 11740\n1913 10491\n616 9516\n313 10192\n4779 7210\n3925 10113\n4066 4974\n8773 9516\n6474 8385\n4194 4302\n2517 7945\n6527 8832\n1403 2015\n443 2460\n8559 10894\n972 11369\n2378 4742\n4532 8960\n7259 10115\n1318 10929\n2970 5435\n2003 2166\n2731 7537\n2157 9947\n4564 7881\n6872 9063\n834 3075\n395 1006\n1174 5477\n4561 9083\n2817 6912\n5893 9778\n6333 12192\n1929 2032\n11424 12081\n2473 10536\n311 10171\n4029 4894\n8715 9760\n3722 6591\n557 10190\n1730 4223\n5974 11660\n6141 6429\n1332 11889\n6200 10596\n334 11493\n458 12133\n627 3062\n893 9115\n526 5110\n11479 12092\n5890 12139\n1036 5789\n659 2800\n310 6662\n5972 8555\n2304 7983\n2490 11159\n5801 9404\n4433 5253\n7089 8303\n311 2839\n2874 3297\n5184 11397\n5116 6079\n553 5670\n1161 6080\n10098 11359\n8688 9006\n3123 3205\n3411 8391\n5418 7993\n3278 7927\n3101 7672\n3954 9454\n3295 7837\n5257 8265\n3719 4798\n6072 7100\n9519 10482\n357 3383\n4462 11984\n3188 11683\n2991 5999\n5571 10631\n961 4744\n1844 11749\n2331 10741\n1926 12043\n8272 11289\n4269 6297\n1127 3847\n6421 9398\n85 6005\n5389 7594\n2257 3743\n5710 10436\n3212 10270\n5869 8746\n3860 5619\n3689 6482\n1530 2654\n1034 9434\n3342 8991\n2131 10770\n7883 9438\n4137 9800\n2671 11684\n622 6546\n5547 9393\n5091 10430\n445 10035\n2065 10173\n3944 5687\n1482 6345\n2278 8065\n7640 7813\n4376 10946\n9665 9805\n1154 2808\n1367 10939\n2785 4075\n8599 11178\n4791 9741\n387 3028\n1139 2019\n2101 6062\n3980 5499\n2982 5707\n5542 7823\n326 2722\n4745 11489\n8617 10695\n723 8850\n617 9023\n8418 9100\n2615 8954\n1574 2796\n8001 11564\n4873 6202\n1481 6481\n2190 3916\n3018 11559\n1987 2242\n1926 10776\n3421 10956\n8605 9123\n1817 7327\n3976 7282\n1359 12191\n4528 7012\n1592 8241\n1832 7570\n2834 9538\n9440 10608\n1786 4952\n798 7037\n2038 2348\n724 3111\n6526 6881\n1292 11997\n8750 10810\n7577 10683\n4341 5366\n11310 12113\n514 2181\n8773 12046\n512 8153\n1513 3103\n2495 3932\n5222 8907\n4019 7726\n3547 9387\n4549 7882\n3442 12108\n5150 8478\n8275 9631\n1730 12089\n434 7544\n1357 7358\n4153 6687\n232 10433\n4640 8886\n1187 8863\n3541 10081\n2811 6775\n7530 8833\n6836 7477\n5913 11780\n578 5730\n8480 11526\n63 1641\n2867 10885\n1070 2599\n4 10057\n3752 7324\n3068 4687\n2061 7802\n2308 5375\n2597 7933\n7913 10576\n943 6340\n1865 2394\n7787 10848\n3488 5429\n4374 9794\n5890 11423\n4744 7638\n4359 6439\n2018 10077\n1734 8832\n2017 9678\n2191 11653\n5530 10376\n8692 10758\n213 9891\n2349 9414\n4041 10331\n573 2734\n2422 9115\n1093 10991\n5705 6200\n3177 6930\n7502 8539\n8928 11411\n1784 3579\n1 8485\n5434 9288\n5227 11611\n3971 7006\n2129 5316\n961 1203\n6308 11704\n1545 4243\n4694 7848\n2466 10543\n186 2015\n9988 11427\n2153 8160\n1059 1539\n4133 10773\n4325 7768\n705 3186\n1440 9059\n3741 11069\n856 9216\n3821 10000\n659 6191\n5423 8403\n3105 11094\n5147 10387\n5102 8886\n1004 11990\n8612 12082\n1804 7032\n9705 10709\n2120 7709\n226 5557\n8308 10879\n2882 6446\n5435 10256\n1046 10489\n1848 6832\n2093 7111\n8103 8807\n8840 10360\n1875 7584\n3055 7713\n684 10599\n4671 9473\n10564 10744\n6784 9846\n1706 10131\n3868 7608\n6071 11702\n2677 6904\n3973 10307\n3467 9264\n1473 3426\n1677 3062\n2851 5996\n5108 9600\n3202 3287\n6452 6566\n2071 2640\n1822 8217\n4731 7536\n2578 3384\n1476 4413\n32 4677\n9185 11892\n3837 11647\n4735 6248\n8003 11712\n9930 10018\n3870 12173\n3036 6736\n4304 5783\n6500 8449\n1001 1151\n9225 11934\n5403 8120\n8061 8517\n3239 8139\n4338 8467\n3358 3566\n985 1672\n1603 11840\n3063 4936\n112 3558\n4569 4894\n865 11016\n2393 6249\n7247 11605\n9600 10851\n5446 11370\n5110 9214\n7278 8650\n5930 9700\n2392 3192\n5221 8224\n933 10803\n2203 10433\n1831 4264\n7258 11190\n866 4264\n928 5550\n1514 8491\n1301 4279\n29 7303\n7299 10227\n4463 5654\n4745 6246\n3283 4649\n8502 10426\n6914 11299\n5925 8377\n1903 3886\n4896 9712\n1190 3780\n2288 11117\n7951 11523\n1453 3820\n299 7949\n4066 5909\n2144 8897\n1455 9260\n577 9330\n1047 4632\n9821 10611\n640 10055\n114 9612\n3690 10959\n9604 9780\n6162 6217\n2854 8104\n7750 10345\n2618 8303\n6236 11336\n3990 11025\n3199 12182\n2847 9841\n2117 5818\n2952 6694\n105 12035\n1985 2077\n9510 10018\n7458 8031\n3748 7011\n1861 5301\n5730 8613\n20 8235\n106 5949\n4692 9875\n5951 11147\n4966 7948\n5175 9601\n756 5033\n3836 5675\n2283 11576\n4621 5158\n2166 9149\n61 9963\n3454 9790\n1611 3437\n4557 8718\n2099 11566\n2662 9767\n3870 6653\n9000 9709\n708 9329\n2654 8632\n2385 10652\n3554 5301\n1040 11968\n669 2464\n263 3325\n3346 10471\n1108 1781\n2892 11376\n5982 9392\n6719 10703\n6499 11965\n3878 5056\n146 10390\n2866 4108\n3122 7039\n2567 11326\n2571 8794\n6468 9529\n4306 7956\n10735 12156\n3352 7957\n5892 10317\n8611 9301\n2816 7460\n4664 11236\n334 1394\n4561 5989\n4491 10322\n1836 9918\n4595 7133\n7046 9579\n9249 11533\n448 9925\n464 1488\n368 9168\n7429 8819\n6671 10462\n4276 5647\n8619 9828\n7613 9958\n6219 9165\n3969 11467\n11353 12058\n4745 8122\n2705 8063\n11391 11540\n2890 3570\n5885 9232\n1541 3098\n2958 7510\n2331 12024\n3616 9773\n3375 7934\n1074 2261\n1093 10054\n4957 11471\n6371 10911\n9399 10116\n2097 3460\n1780 8710\n340 4732\n461 7224\n7813 8661\n7996 9393\n6912 8894\n4597 5582\n1972 7091\n3233 8221\n2649 7189\n8543 9561\n9848 11938\n8745 11079\n3993 7239\n9950 11995\n9559 11858\n9004 9649\n2312 10829\n4578 8018\n1072 1311\n4237 4425\n1859 4888\n3360 6951\n4034 5928\n4014 7741\n2942 7418\n4867 5314\n2266 9044\n5726 10297\n8713 9548\n2228 6196\n3315 10400\n8599 8752\n9564 12091\n4949 9092\n142 8997\n1576 12020\n3734 5069\n671 721\n4320 5830\n874 2265\n1269 7242\n101 10163\n9595 11119\n1582 11651\n3185 6641\n1532 10890\n1434 2048\n5330 7188\n1175 1203\n8018 10565\n1135 2917\n2193 3812\n8558 11132\n418 11453\n1070 9560\n2451 4924\n3673 9645\n304 6213\n1224 4561\n123 3701\n1797 9047\n1287 8835\n2553 6708\n1863 6189\n4749 9596\n1896 7683\n7527 10770\n9979 11827\n6122 12041\n8254 11118\n4007 8333\n4407 12174\n9522 9687\n3796 10917\n470 3256\n4318 9476\n2556 4947\n1276 5038\n1817 3327\n3313 12154\n1344 8591\n4851 11946\n10254 11139\n6391 10846\n7122 10385\n2915 4248\n7412 9886\n568 9161\n6619 7067\n6616 7948\n5650 8188\n4926 6107\n5681 9886\n766 5825\n2478 8472\n4948 12153\n3922 7315\n3541 5509\n3643 7278\n788 12172\n2439 5622\n5124 8799\n10924 11965\n9950 10927\n7805 12193\n1693 9650\n6916 11346\n2919 4169\n969 8682\n10486 10563\n3645 5464\n2061 5177\n5290 10008\n1687 2652\n4488 6271\n582 11796\n5208 11021\n828 1611\n10966 11305\n1939 2191\n3163 3472\n6351 7910\n3780 7624\n4278 6959\n1250 11164\n5781 7942\n3296 5243\n7827 10825\n206 9137\n552 9053\n7509 12134\n727 6014\n4392 8064\n8308 10600\n2235 5138\n9457 11088\n1378 11398\n9878 11694\n4558 9776\n9615 11951\n8801 9686\n7044 8765\n222 5208\n6742 10294\n2095 5717\n6519 8730\n3439 6699\n5235 8958\n1640 11895\n856 4322\n7575 10717\n4839 9832\n7455 11244\n3514 5419\n2609 9456\n5222 6843\n5157 9340\n10383 10621\n2419 5273\n3850 11387\n594 6884\n994 12062\n225 5844\n5005 10785\n8582 11191\n11332 11715\n6592 9359\n2677 5832\n5200 11812\n3386 10462\n2832 3090\n7936 12122\n6500 7466\n7134 9920\n5186 9720\n1153 12190\n7875 9925\n3197 8631\n1311 9663\n1992 7759\n6962 11209\n735 993\n1537 6922\n1594 3755\n196 6390\n3072 8896\n746 7555\n8673 8905\n2903 6024\n2552 4398\n1025 7550\n2240 9163\n4641 5498\n1653 7534\n6390 8357\n3802 4832\n8880 10073\n6309 8603\n788 10102\n2582 6389\n3967 11080\n9559 9778\n365 8617\n11082 11793\n7633 8713\n1017 3193\n2997 5190\n11452 11674\n2833 5973\n43 9652\n3350 5240\n1765 9829\n8840 11000\n2936 6688\n6185 8183\n2876 5879\n10775 11660\n7476 8378\n2179 8281\n614 11081\n836 4723\n990 8292\n330 4215\n4686 9718\n11545 11572\n3979 7702\n3322 5782\n7808 11573\n2489 2625\n1745 9001\n3237 7316\n632 10188\n2931 4149\n433 11293\n2411 3627\n5981 11573\n3443 3575\n4863 8820\n2448 6175\n943 8820\n4720 5918\n5290 10337\n9334 10188\n8079 11975\n1118 3290\n10818 11688\n10157 10432\n3377 3719\n2883 4312\n6036 8732\n3091 6044\n2886 10045\n2590 6212\n3290 4018\n3560 4971\n3709 8814\n1202 3773\n929 12144\n9247 10354\n3334 8972\n2884 9696\n6147 6933\n5049 12009\n6242 11865\n1395 4457\n5257 7834\n1904 7272\n481 8392\n4636 8457\n7831 11157\n1669 5331\n4674 10147\n2228 6106\n679 4604\n141 9618\n3881 6645\n7824 10743\n8684 10375\n5588 9061\n11651 12129\n4282 4796\n3958 12151\n6401 6654\n9611 10888\n5940 9100\n3707 11222\n9009 12185\n3065 6033\n6206 10541\n2039 6825\n3575 6016\n3640 7512\n3940 9239\n1311 8541\n101 749\n736 2364\n5911 11779\n571 1512\n2806 4318\n3066 9491\n4641 5873\n4093 11553\n116 8923\n8003 9369\n3289 10115\n5275 6448\n1130 6039\n2965 6692\n8221 8703\n2309 3253\n3713 11020\n7344 8566\n7061 10277\n2682 7269\n10591 12127\n6060 12190\n8987 9878\n11049 11188\n335 1704\n7722 9885\n566 1496\n1660 3016\n8967 9819\n4211 7645\n2641 6058\n4757 5282\n4186 10449\n4632 6915\n5121 9631\n5820 6882\n4484 10571\n2167 8035\n2214 7213\n6333 10992\n5754 5981\n5895 8894\n2778 7749\n5185 9268\n8842 11940\n3154 12108\n2106 2804\n3305 4294\n4916 9770\n402 9597\n1568 8970\n553 8045\n7238 11592\n1808 4244\n2545 4886\n8799 10228\n4254 4946\n5526 12028\n6222 9668\n180 2267\n1542 9856\n1092 11412\n4398 11620\n510 2744\n7595 11880\n367 708\n8203 9571\n9429 11656\n317 2107\n377 4378\n4019 4119\n2793 3069\n5263 7850\n6793 10052\n1677 2214\n5359 8655\n3163 3801\n1098 11877\n542 2849\n4778 11805\n7207 8621\n3551 12124\n304 9952\n166 3323\n1754 7100\n1159 1171\n7066 7129\n7895 11282\n9309 10632\n3203 3819\n4427 10823\n3838 10790\n1507 10835\n1643 10852\n4354 8896\n2028 2911\n3840 10777\n4201 8614\n3490 11251\n6223 9621\n5248 8648\n2688 10432\n6773 8524\n366 9475\n4750 5296\n5953 11833\n933 9479\n1179 8922\n152 5637\n1563 10879\n1353 6300\n583 2208\n1509 11827\n1246 7770\n1571 5692\n8147 11943\n1707 5631\n5278 10285\n1697 8736\n4613 10586\n4393 10757\n1571 3041\n9819 10601\n9615 10873\n9127 11293\n6162 11295\n6250 8888\n5358 5464\n1110 11226\n1592 6635\n9675 9951\n3979 8467\n1882 7109\n4566 9379\n4345 5557\n697 3113\n2321 6606\n6630 7650\n4452 9082\n1229 7171\n1641 11691\n4014 9657\n4899 6526\n4357 10034\n5500 11000\n4274 11972\n6050 6580\n63 10948\n3516 11168\n10182 11217\n1960 12054\n8651 10586\n103 7961\n8175 9595\n8383 8553\n8637 11169\n4347 10768\n8869 10199\n3618 6472\n2613 3959\n1831 5866\n5617 10839\n3840 12008\n2848 8277\n4187 9373\n4691 6796\n1157 6210\n7832 8957\n4625 9448\n2462 3638\n7390 12001\n5497 8303\n5291 5521\n965 3877\n8302 8531\n5515 11608\n7395 11828\n1286 3576\n3098 11337\n4437 10398\n1891 9409\n7047 7263\n4439 8142\n11797 12021\n1583 2849\n79 10087\n551 7335\n211 7349\n8046 8306\n5100 7280\n3808 4614\n4365 9808\n3637 10039\n5979 9044\n2925 12014\n1379 7170\n2471 10541\n4171 5534\n3534 7714\n675 10777\n7781 7943\n864 7758\n455 3773\n9045 10651\n4876 10385\n525 10862\n3134 9056\n6065 8662\n2911 3484\n557 9862\n1716 4059\n5161 6269\n9358 11217\n2818 10003\n2534 11285\n2097 5393\n7889 11698\n1025 3036\n9152 10464\n7841 9117\n1393 5315\n2058 4582\n2601 7608\n7354 10065\n3557 10731\n4373 5331\n6796 8365\n10374 11120\n4646 11361\n4743 6345\n525 1424\n1815 3887\n2189 8639\n3710 5141\n4959 5202\n2367 10594\n2234 9704\n4017 7838\n9135 10321\n1276 11634\n3473 4595\n238 880\n422 3947\n9983 10729\n3878 9784\n2842 5465\n8717 11599\n3441 6567\n3925 6631\n10901 11934\n387 7348\n2781 10391\n4663 6710\n434 10123\n5141 9772\n1738 10249\n6406 8089\n9924 11085\n198 2895\n2703 5140\n871 8919\n1237 2007\n10003 10423\n4414 10765\n803 4847\n2034 10606\n5695 6982\n514 9012\n323 2381\n3765 7560\n2328 4498\n5489 8289\n3531 4005\n3636 6167\n331 10465\n7862 10931\n1775 3371\n3639 4498\n1840 5749\n1376 8177\n2501 7604\n415 7206\n10752 10763\n8523 11622\n4365 8994\n4092 11305\n3525 8167\n7393 8151\n2488 4648\n921 2303\n4070 9340\n911 11592\n2498 11920\n907 2951\n1902 2516\n1260 10779\n10352 11034\n4679 11519\n1195 5725\n3466 6442\n5011 8459\n2470 9320\n313 9733\n2928 11870\n452 4266\n3393 11709\n4764 11851\n469 3384\n4453 9460\n630 5252\n5636 6681\n357 1348\n3865 8008\n2237 11460\n7634 9141\n2124 6376\n4683 9002\n2937 10966\n2940 3976\n4140 10703\n2787 5016\n2574 7506\n5191 9013\n145 5370\n4703 10020\n1296 8989\n950 3631\n2719 5726\n7621 10628\n5957 10111\n2068 3392\n4271 9403\n6012 7300\n4171 11885\n3686 7256\n4045 8489\n6167 10002\n5320 9942\n6369 9265\n1767 3250\n5986 11210\n9276 10413\n2534 6225\n7391 10695\n540 5063\n4217 6668\n3666 10154\n4440 12077\n5459 6210\n2163 7030\n9568 11996\n5468 10621\n9709 11018\n6838 7104\n1005 10331\n9365 11489\n7968 10288\n3202 10640\n7370 8011\n5499 8520\n6209 11683\n4346 11094\n4208 7612\n5320 5594\n7981 12064\n447 5326\n377 10963\n1725 7475\n328 7239\n1856 11957\n11795 12076\n2426 9133\n777 3765\n3690 4309\n5357 7175\n2114 5243\n4983 7920\n1562 4994\n2202 4529\n41 4185\n7269 10450\n1870 6476\n5965 10115\n5716 9571\n346 4972\n8526 10604\n5853 10975\n43 7764\n147 6433\n4387 5882\n778 4466\n2797 6722\n323 8170\n5393 9336\n105 11411\n9887 9914\n157 8888\n4227 10535\n615 12164\n4904 11983\n2664 8565\n4386 5584\n586 8876\n6504 9142\n1669 5425\n6309 7335\n2289 4717\n3717 11681\n7963 8794\n3496 8236\n4304 9277\n2007 10439\n1025 7585\n1291 11443\n5672 6286\n391 10133\n870 10896\n461 1103\n6422 8387\n1904 3861\n2773 7588\n1173 4917\n1998 3116\n1969 5807\n381 1775\n3861 4690\n6675 8358\n3452 9809\n9554 11626\n4609 11357\n5481 8720\n756 4758\n9876 10233\n8715 9772\n1199 3747\n894 1324\n4275 10477\n3838 4051\n2004 6639\n2814 3615\n5885 6987\n3967 4926\n5407 6952\n9261 10349\n59 11936\n3344 11682\n6347 7568\n5562 8486\n284 622\n3340 8866\n290 5578\n3982 5969\n589 5710\n6111 7419\n4975 9486\n4249 6805\n8019 9916\n1810 9853\n488 11947\n1224 2622\n3336 6049\n336 10451\n4871 8717\n2216 3486\n4918 11145\n5495 9441\n1148 11270\n1249 8288\n4511 7438\n418 4161\n3310 10062\n3915 4636\n319 4234\n1662 9071\n10150 10393\n4039 9331\n3568 6458\n753 3221\n676 5453\n1136 2775\n1592 8589\n6287 11321\n5964 11530\n2786 8950\n2418 5506\n7594 9220\n1538 7419\n5248 6253\n2444 6735\n2622 4523\n286 7958\n600 2216\n3680 4970\n1790 7453\n967 6684\n4999 8524\n3701 6126\n5134 10591\n2686 3505\n3599 5030\n10047 10601\n5852 7593\n4438 5208\n7520 8102\n799 8416\n2553 3186\n1671 5442\n170 12102\n3504 9194\n9682 11325\n1379 11028\n390 9002\n99 6840\n1694 9289\n7170 11882\n2760 3740\n8015 11567\n1869 3817\n8159 10853\n1754 11717\n6252 11497\n2131 12007\n1786 2980\n3263 9734\n1763 11033\n851 2809\n886 4996\n7615 11040\n3803 10222\n3944 7886\n760 11338\n3921 4404\n2309 3456\n3050 9760\n212 8628\n1574 4619\n2590 5789\n5849 11067\n2864 4952\n1568 8334\n2827 11538\n10398 10670\n1728 7476\n9131 11132\n3444 12073\n475 5293\n7750 11860\n5322 9465\n4162 7279\n547 10099\n7522 8503\n6795 9119\n8846 10790\n205 6009\n10140 10262\n4938 9685\n4232 9677\n779 8214\n10481 10950\n823 11592\n1952 8785\n5740 10777\n5618 8282\n4688 11164\n6747 9576\n1046 9692\n6538 7073\n3464 6689\n2948 3137\n576 10773\n9935 11951\n3845 6443\n48 3854\n9650 10906\n2558 6031\n7755 7887\n516 9171\n227 4555\n3317 9623\n2122 10081\n3612 9873\n6123 6889\n649 2523\n4814 12039\n522 2774\n7599 10563\n7087 10043\n1877 5422\n4337 8460\n1832 8981\n11124 11220\n1745 9866\n7578 11462\n6103 10226\n4321 8531\n2954 9966\n5811 10887\n5318 9613\n4236 6096\n2764 5893\n9946 11152\n1312 10893\n5264 11689\n7032 11345\n5400 10281\n6951 11634\n1114 2045\n5663 8189\n870 3805\n8603 9881\n9322 10046\n1003 5590\n1718 3266\n3488 6354\n189 5410\n8536 9867\n2975 3635\n2255 11699\n471 2743\n209 5921\n2644 3347\n5460 5715\n1165 7837\n2186 3010\n4377 5352\n5876 6270\n7271 8214\n7082 7612\n131 2184\n6583 8664\n641 10964\n6623 10805\n130 442\n913 5660\n5164 9306\n4817 8406\n708 6872\n7243 8367\n2364 4265\n10452 11629\n2716 5085\n2980 3222\n3318 4890\n9558 10501\n7675 11714\n147 9846\n5705 11359\n9217 12123\n1309 8148\n4019 5514\n4426 9613\n1170 2283\n3964 4935\n6354 7217\n2271 3434\n1859 6031\n4386 5780\n2248 4277\n5378 7116\n7574 11120\n1918 7953\n278 1830\n4400 10942\n9750 11871\n8595 11398\n6095 12066\n2654 9886\n7851 8559\n7042 11974\n1056 9814\n4649 11255\n5798 11545\n8024 10575\n2452 8621\n6732 11381\n5586 7948\n4353 10631\n428 8679\n2081 6417\n2408 5676\n5225 5946\n6234 7861\n478 7411\n400 4768\n1186 4398\n3005 11424\n5276 8086\n5772 10502\n4250 4792\n4375 7318\n1793 9510\n7863 10962\n4336 11311\n6692 10573\n5391 11696\n953 3721\n3558 12144\n2145 7370\n8394 12063\n2259 4008\n3635 11094\n2903 6524\n1358 11783\n601 1349\n2380 8446\n11171 12045\n8698 11860\n144 5148\n6439 9840\n8069 10345\n1390 5430\n7552 8390\n2922 9943\n360 5982\n1562 5399\n2364 9075\n649 9674\n6340 8916\n3506 11386\n4529 6840\n2492 9572\n2347 9794\n3144 10969\n4797 8446\n1856 8380\n9827 9841\n230 11962\n859 5216\n2266 9019\n7918 9679\n4261 8987\n3776 6852\n473 960\n2112 10802\n7489 8772\n8229 9668\n7173 8669\n435 794\n6702 11920\n10837 11785\n1855 7950\n5509 6739\n5328 10599\n1250 6414\n3927 8233\n3160 4861\n4910 9829\n1088 5053\n8726 10527\n5185 7942\n3228 4694\n8908 10571\n8850 10434\n1596 10927\n168 6175\n1401 5230\n346 6175\n2477 8016\n827 7929\n4465 5120\n3487 3822\n9934 10171\n7810 11000\n8346 9937\n9013 10313\n5254 7730\n23 11322\n6345 7077\n2982 8664\n3448 5780\n1317 9168\n6393 11926\n5342 10429\n165 815\n6672 10985\n1941 5533\n9182 9562\n3520 7717\n460 827\n8319 11806\n1847 2768\n399 7680\n7953 10673\n3897 7397\n3685 8228\n5748 9613\n7718 11578\n4878 7138\n3527 8394\n6723 7182\n7750 11097\n10732 11615\n6214 11276\n6334 8251\n3749 7668\n2476 11475\n6200 9774\n2953 7283\n424 11820\n7854 9645\n6053 12112\n2752 8584\n1468 12022\n2623 10916\n6730 6871\n6247 6698\n3916 5593\n4156 9542\n784 5011\n6418 9414\n2340 3398\n1326 11458\n147 11999\n2823 3315\n5844 11468\n428 5932\n647 2163\n423 5700\n394 11336\n8622 9712\n1334 9050\n5141 11492\n5966 6266\n2361 2523\n1634 5005\n7471 11543\n9373 10831\n6007 11795\n6655 11686\n7971 9664\n6201 7219\n1791 8265\n2033 9056\n8743 9014\n2510 5206\n2539 3816\n1387 9531\n5534 5985\n172 2909\n729 10688\n6224 10062\n4494 5899\n2816 4701\n6625 7959\n3041 9336\n828 11341\n1210 4794\n9128 9294\n442 10455\n3370 8701\n153 6855\n7615 12021\n762 1786\n1373 3546\n10062 11665\n10413 11025\n5840 6073\n1402 5322\n5272 10241\n3536 10693\n8086 10478\n2403 6021\n4549 5497\n6846 7290\n1593 9850\n4818 12154\n8766 9442\n11665 11734\n10099 10126\n1746 1845\n7664 8217\n1475 12132\n6852 11469\n450 3347\n4319 11223\n1070 8555\n3307 6773\n2733 9625\n5242 7548\n307 6798\n4814 11509\n2515 3414\n10304 11778\n6554 11576\n7953 10059\n5540 8217\n5347 10037\n2101 4758\n1113 10165\n3586 7201\n2575 4764\n355 374\n3112 10724\n2911 11967\n480 6593\n304 8404\n2874 9377\n289 2437\n6126 11354\n3172 6326\n3858 5950\n2372 9795\n329 9530\n6307 11569\n2470 11535\n3117 9904\n4745 8729\n7469 8799\n8239 9905\n5733 9879\n5559 10089\n7551 10453\n8601 11276\n6195 11817\n951 6443\n4617 11993\n7477 10284\n9736 11454\n1126 5340\n10281 10754\n2015 5270\n7408 9485\n5254 11340\n3503 3546\n2732 7013\n8642 10009\n1041 8600\n4487 6867\n8539 9528\n977 3029\n2546 7739\n4583 5597\n5225 7749\n535 11672\n7851 10471\n7499 9890\n1210 6713\n211 409\n6354 10782\n1360 11892\n7709 8657\n2862 6431\n1443 8962\n960 5842\n1387 11935\n8160 9785\n7342 8769\n3244 11901\n3501 5880\n960 7007\n3050 4279\n6774 6778\n5155 5220\n7430 9631\n3378 8522\n2963 12054\n5086 6657\n8983 9040\n2388 8748\n5660 12008\n5438 9962\n5092 11386\n2458 9563\n3885 6614\n5465 8235\n416 7212\n1326 11894\n2570 7805\n3913 8186\n3915 7192\n8482 9618\n7403 10005\n4582 9352\n4043 7237\n8366 12170\n4092 4207\n7374 8341\n3519 9982\n88 3656\n2101 6051\n314 2085\n4770 7890\n1224 6955\n17 3486\n5925 8833\n9766 10026\n4433 10260\n949 10188\n9035 10095\n4866 12141\n6014 6824\n9182 12077\n3932 6042\n4531 10628\n1676 10833\n4692 7126\n2252 5744\n1896 6884\n2576 11141\n4199 8603\n4368 5347\n4444 5260\n6209 6852\n2148 4348\n2562 9965\n2147 6371\n6732 8743\n2524 2638\n8627 9934\n3754 4699\n8464 11404\n606 11842\n2794 6624\n505 5720\n6589 7267\n6178 11222\n5720 11613\n4103 9824\n6290 7966\n238 341\n447 5130\n993 9054\n777 2330\n4737 5205\n2820 9808\n4047 12189\n2148 8301\n3697 10770\n3358 11645\n7128 9633\n5110 10981\n4626 7529\n5493 10700\n507 933\n5309 11770\n2865 9796\n132 3603\n1225 2302\n1582 8758\n9880 10726\n177 4000\n6520 7941\n3037 8487\n3268 12010\n3922 5033\n1980 6699\n3332 8356\n3670 10812\n7131 7874\n11009 11684\n4614 11424\n5251 7243\n4220 11200\n3779 10744\n6404 9789\n433 6407\n10718 12193\n3845 10726\n8100 10077\n2004 4351\n2614 4520\n271 8589\n1370 4263\n5214 7479\n2546 7543\n1924 4517\n6040 7590\n8381 9423\n2474 11153\n1533 10674\n5810 10396\n2576 4032\n2098 4480\n4043 4860\n50 7179\n1978 7072\n3013 6205\n4877 9779\n6855 9688\n1009 8714\n2550 7499\n2547 7986\n8007 10364\n1331 7367\n1555 11072\n480 2645\n8968 10457\n6995 10824\n4714 10411\n3546 8409\n10381 12023\n6183 9239\n6168 7150\n2748 11042\n3773 7676\n100 3354\n7895 11780\n675 6041\n1042 7992\n3027 5204\n4481 11056\n408 8284\n2537 8901\n1608 6971\n5610 11993\n6692 11012\n4595 6178\n1776 5530\n11058 11661\n845 5964\n3700 5309\n5587 7929\n9620 12155\n8836 11272\n4461 6713\n3700 5522\n2246 4472\n4863 5511\n1197 6613\n4055 6498\n7679 8680\n2562 6355\n6869 11174\n791 2349\n8043 10817\n1247 7162\n9440 11872\n136 3442\n9608 10332\n148 4592\n5066 6949\n10039 11902\n2744 4796\n8979 9920\n1596 1785\n351 1857\n404 3661\n2237 10818\n3342 7402\n4615 9970\n3164 6500\n1408 9809\n1690 6801\n2514 6188\n2719 9094\n780 6012\n1523 8818\n1608 9717\n4610 10686\n2518 11655\n265 11374\n2099 6271\n2503 6166\n622 8992\n3489 9484\n3087 5703\n4344 9844\n423 7014\n4698 5679\n337 8199\n65 11884\n9749 9763\n3186 6352\n2054 6598\n2479 7634\n7456 8892\n1276 10616\n2686 9508\n6065 6093\n7929 9091\n849 7216\n4991 10044\n1577 9771\n4244 6807\n5675 12130\n2034 6551\n6918 8366\n1271 4306\n5158 6305\n2231 6654\n526 3141\n10273 11025\n6398 8177\n428 4033\n2271 11937\n3557 6795\n1117 7286\n634 1145\n804 7919\n6735 10359\n6384 7815\n1480 2603\n3376 3470\n3458 6269\n2379 12114\n5476 7237\n1966 9950\n10427 11216\n5532 6028\n2637 10688\n3728 10308\n7291 9031\n6138 6239\n1850 2206\n5502 9316\n4438 10106\n60 2225\n5099 6427\n397 7519\n3803 5622\n4816 8026\n2306 4344\n972 2840\n646 6191\n4467 7453\n557 6412\n1732 3474\n132 3116\n167 3053\n4300 9804\n4897 8984\n6479 9175\n3216 8129\n4615 11437\n2156 8936\n1391 11473\n1944 9414\n7607 12178\n1226 8569\n296 7057\n4206 8247\n8030 8572\n3551 11268\n6514 9558\n10946 11005\n6366 6667\n2381 3807\n2692 3684\n9503 11132\n2960 10812\n2631 11277\n3006 5218\n647 4283\n5329 7474\n1622 2815\n8936 9356\n3887 3976\n3832 4715\n2404 6766\n3746 10667\n4162 8093\n6530 7471\n571 9375\n1455 9576\n8378 9455\n10847 11744\n4576 11850\n8231 10037\n2032 5427\n4855 9757\n4630 7894\n2687 8761\n1970 3803\n6101 11425\n6059 7517\n1149 5250\n5894 6575\n3154 12084\n3294 5656\n6414 11873\n1303 8111\n177 3647\n5858 8128\n1630 12129\n11499 12069\n4477 7875\n5 3660\n7375 10792\n4051 4568\n140 4122\n3136 7502\n5830 7772\n3298 10275\n7414 10611\n1220 1692\n2548 9472\n1792 11499\n1133 3389\n6913 11268\n2435 10614\n1369 6396\n5387 9632\n4642 7816\n1994 2387\n5910 9242\n1147 7273\n8655 12002\n4635 5241\n1251 5349\n927 7236\n3955 10273\n6541 8176\n1198 8955\n4703 9067\n2989 9115\n4504 7018\n10754 11521\n1458 4177\n9252 10678\n6059 9888\n9601 11866\n1657 4438\n3432 8420\n908 4520\n1411 9682\n8792 10412\n5276 12139\n31 8609\n5021 8874\n3420 10848\n3079 9646\n403 1260\n5883 10531\n6321 9593\n9801 12091\n3004 4500\n562 11884\n2105 8528\n2455 5082\n4437 10627\n5263 6090\n4486 10724\n1717 6706\n6086 7384\n11034 11803\n2768 8916\n5147 5496\n1652 3355\n6294 9643\n3601 5436\n4596 6573\n4551 5910\n4798 10808\n4881 10322\n1505 6415\n5134 8233\n3684 4051\n2418 4037\n2745 9964\n6215 11788\n798 11180\n7707 11049\n2142 10615\n4974 8691\n4256 8260\n3630 6619\n6116 6853\n1030 4994\n745 9546\n2511 10239\n2470 6965\n2363 8732\n2678 7236\n4392 6757\n4397 9590\n8586 11946\n795 4678\n4354 9065\n765 8275\n1610 12177\n738 3867\n3426 9217\n1978 7096\n3664 4363\n3934 8784\n3493 6995\n3883 6400\n4082 10847\n7722 11092\n10204 11956\n6994 8412\n3374 9873\n195 5362\n3269 6815\n8067 12181\n184 10576\n7807 10657\n1852 7150\n3239 9164\n5424 10355\n2686 11698\n8889 10488\n6681 9538\n8514 9963\n2274 8094\n5545 7305\n2428 4080\n2009 11802\n4557 8898\n749 2649\n3612 5140\n1586 2423\n1796 11480\n8575 11979\n9779 10289\n5357 5915\n4573 9904\n4725 11594\n2453 9079\n7540 8422\n9107 9710\n9711 10006\n7031 9174\n10410 12007\n5206 8490\n6040 10101\n68 6315\n542 2251\n3327 9730\n1071 5165\n6138 6608\n451 3318\n6535 11090\n9984 10981\n520 2732\n3198 11997\n1188 5369\n4993 6811\n1714 8675\n3012 8761\n4474 7296\n3587 8245\n5056 10325\n2047 10136\n2127 3618\n1364 2104\n4608 11819\n5331 8328\n5365 9905\n9732 10564\n9422 11047\n1614 5869\n623 4792\n4790 7786\n3111 9788\n11592 11617\n4639 11506\n5661 8062\n4619 10527\n2222 11325\n2480 11179\n1848 8947\n566 2298\n3496 5027\n7703 10478\n7469 10760\n256 4334\n1015 3032\n4418 6534\n5865 7789\n223 5881\n2791 7708\n1236 11380\n2938 9486\n2445 9321\n1448 3917\n7497 11766\n2439 7200\n3637 7819\n5773 9373\n4835 5340\n1349 3418\n565 1963\n619 2189\n2404 11136\n3041 3072\n1061 9482\n792 10985\n7529 7879\n87 9820\n4739 9525\n4313 6727\n920 8832\n1132 1773\n10787 11148\n4478 8917\n710 6094\n2266 7897\n2828 4275\n3812 4808\n1142 2997\n10722 11904\n4183 10400\n5098 10950\n1411 4018\n3767 8973\n6229 12190\n4805 10894\n5503 7347\n4700 8228\n2612 2752\n383 8952\n3938 10237\n197 11845\n680 10756\n6963 9985\n9059 11809\n6561 8924\n1048 2005\n582 8000\n1137 6756\n8822 8856\n2824 3905\n40 6432\n7493 11829\n436 10147\n1182 3980\n1082 6406\n4485 11553\n2127 9131\n908 6377\n195 8230\n1098 8815\n2694 6977\n1686 6305\n7904 8294\n1787 4816\n8859 9455\n2392 3097\n4867 5016\n674 9312\n4518 10529\n7448 10214\n3347 5572\n924 11556\n1457 6561\n944 3138\n4654 8887\n3632 11250\n3790 7995\n4545 5084\n5081 8924\n4232 6830\n4566 12003\n5094 7219\n2936 9839\n2857 4951\n8455 11581\n9098 11861\n4025 10968\n1312 3563\n642 1256\n8154 11364\n8211 11074\n7659 8600\n1849 9910\n7556 8107\n3877 10289\n2773 9136\n625 4936\n6670 9974\n4480 11163\n6710 8605\n5467 8718\n6496 10729\n557 9433\n1325 11488\n5240 6712\n3559 9021\n420 8199\n8126 11234\n3478 7326\n458 12037\n238 9154\n96 11318\n4163 8107\n3065 3447\n5294 5867\n3405 9247\n1824 10049\n3194 10524\n1564 9502\n4429 6135\n662 4316\n3490 6109\n5608 5650\n8087 10721\n2336 6644\n1841 11517\n2108 5493\n7475 9837\n4353 10295\n7284 10251\n1164 3494\n2608 6236\n1444 7586\n2800 10014\n3096 3105\n4726 10483\n420 8172\n1 2232\n3803 5532\n1401 10491\n5670 9168\n1082 8344\n2897 10676\n5190 9901\n1641 8817\n1741 3476\n4056 7406\n6198 10436\n2061 8596\n4944 10592\n3382 10492\n5430 11209\n9010 10407\n392 3942\n376 4482\n4021 6991\n4457 5705\n1735 9983\n7149 8707\n3638 6806\n3278 11278\n1623 9634\n731 3434\n6217 8446\n4716 6902\n8667 9678\n2058 5940\n7975 11123\n597 1442\n365 1339\n3633 3968\n11306 11540\n8269 10761\n6922 7511\n2953 4361\n1219 5093\n1755 8881\n3687 6652\n5154 10522\n2059 11257\n2206 4722\n6213 11744\n2972 7204\n53 10787\n7011 11536\n7422 10540\n9790 10258\n4779 5008\n609 7319\n620 10227\n4163 8077\n88 6085\n5194 9833\n5605 11654\n9342 11144\n1847 2008\n1816 6746\n5771 7635\n4496 5953\n3085 10506\n778 3757\n5262 11480\n9877 11119\n1839 5241\n2543 10498\n4563 7864\n834 10042\n850 7062\n6106 9317\n51 6705\n9477 10727\n999 10372\n7821 10433\n8065 11452\n7969 10555\n7232 8514\n2040 3504\n3726 11271\n2095 10871\n7207 8483\n8135 10951\n2593 11759\n3772 8576\n5248 5728\n7902 9504\n150 10121\n5563 8277\n1073 4557\n2896 8650\n2557 4193\n6042 8400\n2382 6147\n10850 12094\n9276 10299\n2033 5875\n1567 4392\n7975 9593\n6942 11687\n387 1647\n3047 4406\n8275 10720\n782 9371\n6661 7239\n3698 4629\n3418 8459\n8900 10966\n2706 8096\n3210 3590\n224 4468\n3164 10828\n10259 12008\n5278 6655\n3634 10954\n492 2448\n2200 7730\n9773 10667\n7873 11731\n1401 8788\n2903 11316\n8381 8842\n3881 4118\n2599 3093\n8967 11662\n4007 11818\n227 953\n5631 8840\n7999 9306\n2075 3929\n345 3966\n4817 9206\n4855 6467\n3731 10118\n376 2857\n6658 11946\n3226 6630\n1065 4547\n2054 11900\n370 8648\n7892 10940\n3539 4558\n7564 9878\n8818 11183\n5335 7310\n1374 10094\n4665 8112\n7576 7982\n1915 5238\n9116 10555\n6925 8116\n11173 12044\n1300 2084\n2935 6468\n4225 11046\n10544 11342\n3199 7304\n1053 6798\n4584 5914\n7317 10818\n4460 9513\n8538 11199\n3368 11260\n5656 6315\n8536 10817\n1344 9110\n362 8947\n3271 5603\n11328 11340\n5190 9748\n3258 3491\n5149 6031\n1540 6262\n348 4245\n9846 10136\n489 2622\n2660 6066\n883 11897\n6078 6234\n3026 10535\n2085 6555\n4669 5351\n189 10417\n1140 6312\n4017 10807\n81 11852\n4336 10456\n7422 8126\n571 6965\n2088 11920\n3857 5710\n4480 4510\n3540 5635\n2488 10295\n4316 5470\n4708 10899\n8534 12082\n1153 2231\n892 6256\n1546 10719\n3707 10066\n7681 11531\n1238 2251\n3631 10049\n494 7840\n1687 7293\n1603 11615\n8105 9374\n7964 8140\n175 1167\n446 8284\n979 3083\n584 4179\n252 5604\n3412 11048\n669 11129\n4345 9208\n2973 7157\n6298 9145\n2808 7903\n5135 11152\n338 11560\n30 11138\n4506 10023\n10850 11087\n1610 7468\n7055 11370\n8930 10863\n7226 7231\n87 5018\n398 1730\n1256 3155\n3085 10095\n3176 11391\n3682 8786\n4915 5677\n6934 11494\n4804 4886\n6909 9117\n1823 10056\n3734 10827\n3285 7827\n2225 4286\n4799 11547\n4607 6505\n268 10564\n7419 8515\n8334 11784\n8957 12031\n2056 4033\n4353 11140\n4920 10661\n1437 10534\n4756 9418\n174 11451\n1183 10347\n3737 10377\n4222 5720\n1398 6362\n8650 10300\n7492 10926\n4402 8726\n2636 3070\n1352 12133\n1391 6078\n6238 12145\n1664 10771\n1373 6915\n7224 8414\n9902 11520\n5983 7980\n1180 9241\n3503 7996\n6077 9572\n3348 11889\n3195 10346\n704 8974\n3403 6443\n426 4505\n10114 11341\n4665 11963\n11471 11481\n6279 7888\n3996 9571\n754 9311\n1142 5469\n2419 6153\n7610 9670\n438 6149\n1079 4831\n2328 8200\n4669 9192\n4576 8248\n5660 11349\n2034 4399\n2833 10635\n2034 7832\n5069 11412\n9143 11521\n4229 7143\n3075 9304\n9709 12079\n5272 9789\n8877 11786\n4309 10799\n7083 10618\n1654 11999\n4904 6550\n2384 5625\n922 1925\n6494 11713\n9460 12036\n9569 10604\n8553 9017\n3792 5065\n10567 11458\n5735 7990\n2650 5638\n1094 9201\n2492 3712\n3094 6992\n629 5255\n2403 3657\n5345 8666\n3639 9218\n2610 4354\n9273 12121\n9522 10798\n7961 12087\n8273 9090\n2528 3565\n392 2679\n3255 11843\n1598 8656\n6044 10270\n9234 9629\n3525 7352\n1720 6374\n6076 9377\n4122 10810\n3381 4228\n2549 3934\n2142 9107\n912 5947\n4446 6860\n1065 10079\n2416 8150\n8523 9528\n2944 10920\n6084 8511\n3394 7254\n6286 6450\n754 4987\n2885 5790\n1835 4428\n4642 4951\n6505 7252\n7120 9261\n5436 7653\n6262 8229\n5588 6347\n4219 10863\n1688 6807\n2065 10277\n1236 2916\n3176 6054\n9851 11785\n652 5400\n4202 9555\n2200 5489\n3507 7204\n4195 7018\n1788 7797\n7880 12019\n6242 8464\n10190 11050\n1005 3394\n4287 11413\n4554 9694\n2435 11135\n3923 10824\n1946 6527\n4479 7491\n921 11178\n632 7076\n349 2732\n2647 7313\n6512 8453\n4918 10371\n8473 9532\n467 7363\n1749 11190\n5241 11696\n3209 10449\n6944 9376\n1975 3131\n1290 1731\n5921 12139\n556 7410\n2093 10810\n7971 11479\n272 2429\n728 8936\n2891 10967\n5058 10599\n8242 9060\n8569 12072\n2320 10649\n6203 11439\n4194 8015\n3888 5275\n5416 6985\n7783 11440\n160 4646\n3491 4296\n7248 11796\n86 11890\n918 1252\n2778 11391\n4528 10638\n832 7545\n9447 11199\n6715 9444\n2621 8460\n48 1647\n1534 4017\n5829 8783\n1416 3716\n10327 10571\n1031 3943\n628 4045\n2027 3022\n266 3032\n226 4555\n1094 9385\n1185 9337\n4841 8054\n1929 10571\n1707 3558\n7300 8788\n5676 5943\n1649 2784\n2100 8194\n365 4878\n7914 8819\n1686 3456\n8114 11435\n3273 5034\n7687 11101\n7934 11987\n6804 10806\n4266 11752\n256 4128\n2727 11559\n4707 11008\n2313 8497\n7883 8168\n3111 4919\n11617 12168\n4768 9375\n6901 8562\n4051 6843\n6456 9211\n6566 7641\n8611 9305\n1146 3788\n7531 11240\n8392 10356\n4134 5038\n663 9651\n119 6044\n1687 7792\n11353 11895\n5849 11348\n4806 7214\n748 4991\n5503 9848\n2176 7571\n5672 6590\n4736 7055\n8940 11985\n9359 11211\n4233 5594\n4962 9071\n6321 8098\n9376 9493\n1422 4614\n369 2793\n6150 9348\n6805 11395\n2230 4790\n295 10442\n3402 10185\n559 11434\n2888 10823\n871 3098\n10573 10997\n6380 9593\n105 11466\n1224 11530\n2841 8556\n47 8233\n1212 2890\n2335 9645\n6398 8690\n381 11947\n5152 5879\n2570 7155\n868 2272\n3821 12068\n6306 8722\n1658 10048\n1636 1649\n8307 9097\n3636 7045\n5586 8044\n6398 8010\n951 6612\n2259 11807\n6168 9216\n8283 9486\n1294 4298\n1652 4802\n3546 7219\n8323 9137\n899 2562\n1718 4110\n6049 6090\n8351 10695\n3243 6082\n6366 6437\n1806 2599\n5282 6211\n2490 11461\n1164 9503\n826 4849\n8624 8982\n9342 10642\n3274 7294\n2291 3521\n2242 8106\n457 2849\n5989 8528\n1856 11689\n9344 10035\n230 2512\n5032 8007\n1889 9865\n963 5546\n7107 8093\n5496 6051\n383 2830\n7356 7389\n3635 8017\n350 5753\n2234 6505\n604 5661\n8348 9004\n4094 9741\n3206 4712\n706 10683\n1055 1707\n2517 3850\n1769 3723\n8920 9715\n6457 7873\n6005 10043\n3159 7751\n6931 9225\n8848 11506\n1236 3196\n1500 12165\n3463 12159\n2453 7853\n3286 9013\n2497 11916\n7193 9985\n5040 11853\n1025 11632\n3616 7867\n8525 10813\n5268 11417\n3864 4826\n6135 10589\n5352 5536\n5723 6482\n5024 6026\n7142 8998\n3103 11184\n6602 8385\n588 10799\n6655 9335\n1638 9282\n6767 12065\n2397 5725\n5012 5064\n6038 11379\n1211 6623\n3752 4591\n4481 7362\n638 7107\n6612 11878\n28 7051\n4543 5319\n7 8220\n4962 11871\n8559 11683\n2065 4459\n999 2888\n3678 10327\n1718 7620\n7326 11766\n7541 10266\n5141 5262\n1285 10309\n7721 9922\n6680 8948\n11113 11646\n6590 10119\n8358 11872\n2011 2944\n2382 11970\n2723 10936\n2365 3045\n92 11381\n7020 11441\n8197 9585\n3742 12058\n1086 7607\n375 4038\n941 1350\n2052 5941\n2724 10814\n1038 12073\n8393 10917\n5307 5350\n9919 12070\n4556 11830\n1346 4314\n293 6802\n2388 7904\n6632 9362\n4813 10142\n3531 3970\n2772 5270\n313 5294\n1907 7742\n10036 11703\n3291 9691\n1237 5586\n1556 10938\n649 804\n7306 8249\n4615 8892\n6256 10541\n1422 1999\n8003 8301\n1762 2507\n1626 11413\n1315 6510\n7175 10942\n167 3676\n2622 2845\n3697 4129\n10103 12102\n1808 9589\n9828 9834\n1990 2160\n1106 2199\n3843 12082\n1055 10639\n5312 10355\n3321 8117\n7264 12149\n48 4694\n3701 7840\n4290 7690\n10094 10794\n2083 2788\n948 8262\n65 7768\n6833 9511\n737 5623\n389 4569\n6506 8492\n3644 10872\n1828 4932\n6878 8757\n960 2031\n6547 12088\n4636 8954\n654 1089\n2726 7453\n4688 5050\n4327 4456\n2662 2778\n1755 7295\n10350 12127\n766 2042\n10101 10472\n6652 8012\n6810 11440\n3137 3871\n4381 9437\n10661 12009\n1973 7369\n348 3860\n2 8286\n6896 7215\n4471 5085\n4295 5876\n9326 10361\n5201 10097\n1666 10565\n8150 10519\n1608 7934\n2091 7583\n7281 9188\n58 6298\n6847 8148\n2805 3523\n510 7842\n2506 9424\n2073 4515\n2740 10564\n6192 11648\n1816 6627\n2880 8692\n1354 10449\n4954 11941\n7540 11753\n4349 12149\n2206 10151\n550 6225\n940 8941\n3422 4420\n5386 10529\n1873 8762\n2015 8206\n2456 4620\n2786 10353\n533 7881\n3206 5230\n426 1681\n3125 3860\n8232 9554\n7839 12047\n2625 10687\n489 7965\n8023 10346\n10804 11864\n2186 6228\n543 9847\n842 7441\n6262 6300\n6812 10927\n2517 12135\n5669 6703\n5123 7366\n4171 11974\n2313 10482\n5697 5861\n5764 6816\n5074 11376\n6050 10135\n1179 2235\n4977 7683\n7771 9385\n7474 11474\n4405 11732\n9291 11726\n1523 9003\n5336 11272\n1933 5169\n10974 11300\n6760 11800\n1616 2141\n122 10037\n3657 7401\n5247 8290\n1283 8350\n337 3930\n536 3297\n3980 7297\n2377 3837\n11529 11647\n3061 11596\n327 6223\n5960 6148\n962 6723\n1593 2121\n7066 11877\n1518 2135\n3051 8269\n3211 4784\n4075 10552\n8238 10316\n2569 7629\n4035 4812\n3889 6262\n1346 10848\n1339 5911\n8682 10888\n2644 4678\n4621 8911\n1858 5873\n5243 5757\n5754 10782\n4057 7413\n257 1744\n1579 2216\n3252 6989\n7899 9558\n1456 9686\n1285 8684\n2262 2875\n2234 3922\n8352 12055\n1454 9792\n3450 7114\n6325 8862\n3475 11927\n9121 10059\n857 3308\n3094 10460\n3967 12033\n6612 10631\n6008 7739\n297 2323\n6155 8614\n6058 8743\n7000 9886\n2038 10523\n6752 12161\n490 10474\n948 5457\n661 1428\n996 1933\n1919 8455\n5166 7771\n6150 8191\n1962 7971\n304 6938\n1649 6661\n6273 7726\n8003 10453\n2148 6018\n5373 7163\n2548 10701\n7157 7828\n4325 8270\n2640 3582\n88 12134\n6826 8787\n730 6704\n5936 11479\n5662 10117\n6271 7982\n7702 8266\n5319 9758\n2081 12143\n5467 10596\n1471 10838\n904 9993\n1556 2759\n6142 6520\n1311 1701\n4040 10348\n5015 8402\n6907 10942\n224 10417\n513 11282\n6377 8893\n1636 6489\n5341 7349\n7145 11739\n980 8187\n11044 11535\n1513 11757\n3342 10914\n6059 8735\n1984 7785\n368 4519\n4746 10076\n2155 5778\n4542 12086\n1515 8720\n7852 11650\n3334 4193\n2861 10961\n7906 9708\n2365 3918\n239 1735\n1450 8098\n891 4846\n4873 6712\n210 4220\n5616 11734\n3412 11462\n365 8396\n1222 5732\n1540 10387\n1910 2019\n1952 10300\n1684 6021\n5307 6500\n3561 8797\n1907 2082\n1226 10016\n5574 9246\n6463 6707\n4823 11433\n5215 12067\n975 4899\n4567 6104\n4871 10597\n6643 9527\n2372 6035\n8297 11379\n653 7226\n795 3815\n5742 9298\n160 9675\n5653 7467\n3843 5090\n7294 10161\n1081 6181\n4149 11928\n5262 7021\n2732 5073\n2153 11956\n2773 5421\n705 7661\n8871 11719\n4372 7775\n8421 10581\n2291 7380\n4657 5286\n1859 4952\n6838 10270\n8890 11669\n3374 3531\n5634 11324\n4687 4826\n418 10192\n6960 9743\n1229 3714\n1929 6126\n2195 11050\n4127 11607\n1330 8473\n490 6443\n2813 4684\n3447 11848\n11909 12086\n7007 11685\n456 3714\n7780 8991\n1261 10321\n3419 11223\n304 5259\n4833 6411\n3970 8173\n2624 8858\n1685 5858\n2542 2720\n6941 7701\n4369 11462\n5554 9825\n1032 1363\n9963 10598\n5034 10517\n7085 7835\n115 8702\n10997 12028\n195 9880\n7183 9555\n4884 11785\n495 2400\n7574 8152\n1434 6684\n3066 5317\n2649 11954\n590 8291\n3 11146\n8167 10459\n4921 5458\n2224 12110\n937 1070\n78 2111\n7496 11657\n4316 5694\n3042 9422\n1785 4016\n6020 11992\n5153 10282\n1682 9691\n68 11355\n7323 10186\n715 5689\n1543 7490\n2132 9476\n10315 11194\n5207 5233\n2543 3080\n3665 10500\n1326 6448\n7558 10050\n5345 9193\n8802 10012\n630 8457\n1742 6662\n1081 9071\n3815 7374\n1916 2737\n6227 10290\n4050 5722\n4374 7551\n1097 7066\n597 2610\n2261 8368\n8764 11833\n545 6749\n1325 1451\n1334 8728\n6621 7748\n746 10514\n3806 10518\n6433 9641\n4879 9437\n6051 11822\n5357 11381\n8607 9633\n1635 5309\n191 7415\n1139 10928\n2686 5963\n3773 3811\n7625 11182\n7987 8472\n9510 12051\n3951 6700\n3967 4509\n3700 10188\n6845 11603\n5301 10063\n10604 11366\n10121 11790\n8912 9075\n1860 3113\n11575 11869\n4483 11786\n7199 9928\n2851 6840\n4017 6647\n3741 11319\n708 5418\n564 11587\n3073 7841\n5220 6303\n7955 8362\n4711 7481\n2614 7648\n3764 5695\n10827 12060\n5669 12003\n7548 11729\n7624 9987\n891 975\n2356 5000\n5278 9025\n6227 8521\n6502 7849\n3645 9887\n8891 10292\n3234 4351\n81 7496\n57 3205\n4930 5661\n6095 6921\n2058 2487\n1178 3531\n4884 8418\n7700 10562\n7524 8754\n3342 4077\n1051 10667\n4025 8461\n7857 9948\n5516 8356\n3642 6058\n1217 5696\n3789 8543\n4350 5108\n5778 6895\n169 3013\n1724 11286\n6188 7936\n5063 12182\n1806 5626\n1991 7249\n9873 11093\n8411 11843\n586 3598\n1608 8714\n668 8833\n1762 7467\n2309 9570\n4152 5486\n3568 9151\n8038 8853\n3559 10744\n1145 6894\n1437 9573\n1502 1567\n3128 5240\n4928 7913\n779 4857\n353 11912\n1031 5714\n1322 11653\n1767 6005\n4510 5600\n6128 7236\n3175 8026\n3506 9737\n2862 10953\n8880 9009\n660 6029\n2737 9181\n5743 11623\n1448 3962\n9711 10593\n3639 3959\n3347 4949\n3069 5090\n9411 10991\n4352 10006\n1841 2465\n9460 10195\n5621 6239\n1959 9372\n6336 9489\n417 2043\n7460 8915\n6134 6694\n1906 4764\n277 6288\n6523 8877\n7784 11981\n3075 7847\n2716 2913\n4632 5617\n6957 8111\n61 11144\n5039 6595\n4101 11658\n6434 7202\n7493 11760\n4464 8934\n2657 4021\n5033 7011\n2573 6053\n6570 11389\n3677 10442\n666 7868\n3392 3550\n1382 9987\n5890 10489\n6165 11464\n3579 5523\n2760 4785\n3190 5927\n2613 6655\n5216 10608\n2060 9701\n9001 10829\n919 4659\n7987 8369\n4739 9040\n1252 9984\n3439 5100\n4139 7580\n494 10517\n2318 9843\n9667 10561\n2958 6529\n4723 5372\n947 5845\n6052 12099\n7595 10744\n4582 11825\n1385 8302\n8139 10520\n8927 11673\n7115 9852\n3005 5804\n3223 5438\n6193 11426\n1265 3733\n4607 10191\n167 6492\n4107 6561\n6864 11895\n2288 6569\n10384 11969\n3088 8760\n3517 4347\n4276 7104\n2962 10691\n3071 10973\n325 2311\n8014 9957\n3233 11614\n6202 8832\n21 9138\n2527 6707\n3168 6339\n10879 11177\n3202 9741\n1895 4270\n1449 5607\n450 3350\n1772 4728\n2021 5605\n4736 10716\n7357 9373\n9979 11708\n2093 5490\n4892 11203\n8426 11816\n9118 9472\n574 6617\n3598 10494\n9090 10349\n1359 9208\n7395 10460\n1492 8396\n4953 6761\n6414 11184\n596 2805\n2019 2549\n1211 9647\n2103 6037\n5379 10826\n2926 10430\n251 4130\n2407 11222\n7118 11451\n1603 6908\n1790 2409\n9362 11452\n839 5375\n7109 7773\n11521 11808\n1802 8369\n6427 8371\n602 7188\n1389 7631\n8423 10635\n7844 8171\n142 2373\n5308 10818\n4954 8133\n4329 4774\n1375 1762\n9042 12043\n8181 10919\n9769 11025\n98 8294\n2528 3895\n6216 11485\n1951 5570\n494 8500\n2645 6622\n338 6235\n2910 10951\n6319 11458\n5427 9792\n4431 11660\n1062 6862\n8144 9753\n554 11258\n7239 8079\n2495 3866\n5259 10045\n1998 2982\n2561 8904\n4940 8746\n6208 8902\n2377 7329\n6496 9218\n3060 4464\n4116 6518\n191 4095\n8474 11154\n453 7586\n3443 6312\n2912 8478\n8111 11552\n86 6390\n3002 9625\n9312 10694\n118 9932\n3435 8377\n6986 10490\n8074 11224\n8983 11993\n1591 3866\n4337 9088\n10696 11870\n5892 9557\n1780 11516\n1650 10589\n1932 2717\n7206 7687\n1425 7358\n1861 5047\n772 1266\n1512 1878\n5842 9182\n4160 4229\n3946 6703\n6820 11170\n8150 9934\n1453 7436\n4901 7112\n3022 3799\n8841 11631\n2067 9328\n2707 8120\n5577 9042\n5597 9762\n5651 7411\n7616 11656\n2681 4304\n4834 10272\n1475 5649\n23 399\n4684 4724\n7234 11722\n398 2209\n1434 9394\n1664 1975\n6578 7387\n1153 2129\n167 4692\n4112 11118\n9656 9819\n4942 10904\n268 7789\n9354 10996\n3763 10765\n7402 10191\n3588 6186\n923 3297\n2577 5634\n9662 11316\n7622 9569\n2923 7367\n3028 11989\n4221 8086\n300 4023\n954 11785\n5750 8434\n4570 9532\n7547 9154\n584 5941\n2187 5820\n5457 9226\n10255 11415\n6879 12058\n6731 10096\n6214 8710\n8896 11961\n3895 4722\n964 8705\n11137 11570\n4181 5440\n8202 8991\n8843 11714\n2590 9956\n1016 1021\n4859 9306\n6072 7221\n5939 7996\n1043 5482\n369 6186\n4162 6454\n1567 3375\n3914 6959\n389 809\n2044 6229\n9758 12070\n10794 12151\n2087 7416\n4004 6725\n1304 2541\n10948 11633\n5983 7632\n3720 5807\n2215 6632\n5944 9329\n692 2791\n1888 4753\n4371 5756\n7570 10841\n1613 10705\n3574 8235\n666 1999\n969 6036\n5142 7971\n1245 9341\n2449 11938\n5878 7371\n2994 8075\n544 5045\n4931 9818\n6140 10107\n3556 8683\n5089 5501\n6463 10827\n1714 4037\n8661 9999\n619 10333\n7492 8887\n3866 9352\n121 4733\n3171 7109\n9948 10574\n8680 11836\n3478 10543\n4524 7401\n321 10131\n1710 2197\n4583 7524\n1154 5973\n9473 11342\n241 1305\n705 5908\n4360 5159\n2790 3293\n4003 11856\n3565 7034\n767 4846\n771 10969\n6775 10602\n4464 8451\n5874 10904\n7257 7270\n2306 9639\n166 10423\n10690 10948\n475 3708\n8424 11105\n2885 6684\n2617 10750\n995 8744\n802 8543\n1868 5503\n384 11816\n5209 11668\n5771 11868\n3421 10129\n7024 8194\n2272 3290\n1173 3249\n717 10489\n5592 10690\n4756 12058\n3789 8405\n2017 8322\n4307 9422\n1860 7528\n2403 8471\n362 10110\n3129 7449\n6688 11068\n5158 6921\n975 1982\n1758 6507\n9133 10398\n744 3925\n5686 10819\n2094 5189\n1172 3019\n1314 11623\n3764 4961\n4706 11174\n2615 10325\n7948 10191\n577 3110\n4022 4711\n7142 10589\n1129 2099\n5006 5947\n2577 10740\n6214 11846\n3979 12015\n1117 3337\n5100 5418\n5453 5513\n1463 8356\n2922 11969\n1567 8799\n1395 10229\n6070 7562\n1600 5854\n4677 12061\n1588 9661\n995 6469\n8721 12096\n2853 8254\n10348 11734\n9298 12169\n3763 10235\n3509 3920\n1256 12029\n326 6007\n3782 7482\n1586 10266\n3684 5020\n1480 3705\n5946 11754\n864 4400\n5065 10904\n2051 11227\n7486 8474\n3590 5911\n1968 9840\n1546 6011\n5097 10619\n1207 11512\n3209 8558\n303 2478\n5375 6194\n1507 3003\n6135 8375\n3858 5151\n2301 3888\n2270 5064\n2074 2099\n106 3417\n1613 4714\n3839 11917\n2385 12154\n9682 11899\n3849 8632\n10560 11503\n2355 6864\n4590 8337\n952 6952\n407 6372\n1043 5867\n6510 8715\n5142 10965\n4454 4537\n8285 9856\n1268 3092\n78 691\n4499 10556\n1077 3569\n951 2242\n2385 6060\n10191 12132\n1432 7095\n4284 7848\n5694 9284\n1977 10794\n9263 9905\n5263 9797\n3550 6366\n1421 6720\n2696 8908\n10337 11171\n3021 4905\n5793 9826\n235 9843\n3211 6730\n559 11222\n3925 5168\n1553 7107\n238 8029\n1672 10653\n1080 3586\n3774 8195\n10073 10349\n4458 10581\n2864 6753\n5309 9105\n5140 7823\n1957 4778\n3625 3636\n155 2356\n11241 11422\n4994 5309\n2669 4182\n34 5377\n2806 7519\n7894 10821\n6383 8706\n2263 6380\n4019 4569\n1951 10243\n2311 10726\n8358 12072\n6123 7383\n5623 11571\n677 8128\n8324 11421\n5599 6504\n19 8864\n1047 5570\n1113 9650\n2531 6331\n3905 5551\n3011 7711\n1767 4127\n1218 2790\n2076 7834\n1897 10905\n6524 6637\n8012 11244\n6013 7190\n8766 10065\n554 3522\n9315 11266\n8652 11982\n3971 6467\n356 8683\n1291 5686\n1410 11742\n1820 9904\n2782 7482\n530 5595\n3397 10058\n2004 8926\n1411 2947\n5011 11736\n4138 6687\n4345 11451\n7874 11244\n3413 5400\n5365 8852\n2182 2908\n5250 6928\n1345 11676\n7148 9244\n378 11382\n338 11828\n8422 9746\n2343 12043\n850 4128\n6929 7350\n1675 10652\n2322 5969\n5070 11752\n381 2076\n321 11379\n624 3173\n95 10156\n4997 5293\n4689 9139\n3587 8888\n6103 8011\n10428 10756\n782 4488\n9573 11969\n4463 4475\n1836 5741\n8845 8864\n414 8784\n3350 6104\n3001 5676\n279 10318\n1865 9489\n24 2175\n10173 10773\n2159 9474\n1023 12137\n288 8270\n4755 7576\n5426 6931\n5060 5640\n923 7324\n4557 5062\n2225 8971\n1574 1880\n7085 9266\n1158 6212\n3023 6363\n285 6508\n1386 2681\n1414 6592\n1003 5885\n867 10027\n4785 9443\n140 6787\n2219 5247\n1568 7537\n2691 10516\n6102 7952\n2105 2208\n8381 9410\n81 12014\n1283 2902\n655 4665\n876 5868\n4736 5170\n7526 7652\n7832 7950\n1437 8452\n2961 8436\n4569 10322\n5139 8406\n6713 7876\n1746 3239\n5023 10990\n485 7591\n8571 10492\n354 10021\n4908 8546\n591 9769\n2316 11182\n669 4888\n8308 9524\n6079 11681\n8875 10254\n4305 5108\n991 6205\n1889 4304\n1707 8475\n805 8740\n5776 12174\n5783 7604\n2788 12143\n4241 9937\n1491 7636\n4259 12102\n3249 9932\n2153 2483\n2375 5832\n5955 6254\n4109 4899\n2928 9885\n7673 7709\n7468 8281\n10732 11928\n2782 8615\n6805 10712\n3718 8104\n8789 11630\n109 4519\n1491 6343\n3808 4894\n4960 8186\n1088 5835\n4054 7713\n1176 11306\n1797 11263\n1815 8125\n198 11843\n1763 4651\n6764 11073\n1450 5265\n1408 9200\n6941 9807\n1200 8429\n5289 5677\n1829 7126\n9864 10519\n6779 7996\n2276 6116\n3179 4954\n6621 7050\n5861 7960\n4366 5944\n1011 9692\n6372 11713\n6744 7588\n8823 9585\n6451 7126\n3704 6410\n7708 11785\n462 12172\n6185 11808\n7391 9021\n6 7188\n7129 9437\n1555 10384\n6411 11530\n494 2139\n10015 12074\n6361 12137\n9423 9776\n4968 6035\n2760 6966\n3634 4076\n3581 12045\n5321 9195\n5050 7066\n320 11024\n4596 7517\n3168 3934\n5072 10831\n987 1623\n2506 11765\n3846 9070\n2547 7962\n4611 10300\n7946 11336\n1704 10525\n7965 10232\n4279 8269\n570 7593\n896 8928\n1076 4445\n5338 9301\n2557 7090\n1062 4721\n5086 5442\n4077 5153\n211 11342\n3085 7992\n5007 8839\n2787 9844\n5464 11634\n2557 5611\n2950 3675\n538 2318\n5921 8665\n10843 11436\n3017 7989\n4981 8785\n3186 6827\n1461 9781\n2260 8693\n3488 3569\n4731 11213\n1623 7437\n1813 10384\n1660 7570\n1198 6444\n6297 8074\n4390 12072\n2062 11903\n103 1145\n3102 11199\n3231 9399\n3420 12014\n1116 8075\n2644 10251\n422 4747\n2277 5727\n5271 7180\n10675 12145\n4504 9302\n5967 8579\n4001 9390\n6134 8748\n7849 9690\n8159 9421\n736 6430\n7067 7274\n1661 9527\n1837 4346\n5673 11132\n4960 7755\n10682 10729\n10223 11648\n6972 9308\n2986 4055\n6727 11951\n1523 2348\n1245 8048\n4401 6645\n926 11416\n5847 11742\n11694 12172\n4220 6185\n524 10553\n4640 4764\n9900 11968\n3376 6372\n2458 2798\n1481 11469\n3216 8312\n9306 11737\n1955 7042\n5264 11995\n10543 11410\n241 8059\n5235 9301\n312 2606\n6820 11950\n396 4592\n1591 4098\n10397 11721\n2327 10975\n2866 12157\n1992 11889\n410 11251\n3951 10109\n7345 10640\n6292 11954\n773 7858\n4633 11439\n2690 4177\n7082 8580\n6585 8353\n3040 4881\n3962 6210\n5684 9800\n5358 7431\n3697 6374\n4277 4833\n1483 6537\n5792 11346\n498 7837\n6393 7861\n3494 3640\n5800 8901\n6800 8014\n185 6703\n4433 7939\n1330 5803\n828 7127\n6322 6512\n2476 11959\n884 7041\n2577 11255\n1745 10555\n2571 7389\n3364 6503\n3170 11625\n7877 12015\n4446 10277\n4835 6314\n6746 10975\n5016 6588\n2651 11913\n1957 4496\n5849 10949\n2064 5682\n914 8027\n363 7641\n3586 9144\n1306 9855\n46 534\n3838 8523\n5124 9524\n2642 6181\n3085 3837\n1994 6355\n669 8850\n8796 10493\n2359 4913\n3648 11233\n10745 12091\n9118 9870\n10245 11267\n5110 11887\n4503 9237\n5617 8599\n2313 2490\n3095 3361\n3253 10314\n1561 9647\n604 10588\n8732 11041\n6129 7080\n9298 10618\n1642 4200\n1774 12002\n11732 12062\n6062 7523\n3544 7769\n5309 11015\n2649 9475\n4893 5631\n5982 10057\n3232 12075\n271 2190\n1952 10947\n6987 8229\n4161 6199\n1655 2448\n8406 10502\n8668 11330\n6211 9534\n5938 9416\n328 6853\n561 7632\n8080 8983\n3645 4044\n3864 9847\n6750 7180\n7166 11598\n8892 11899\n2924 5492\n3333 9441\n5727 8353\n3365 5559\n2737 4403\n3581 9025\n1962 4495\n7681 8841\n7302 9074\n3396 6478\n8322 10627\n5045 10154\n2158 3425\n100 2696\n8027 9020\n1172 5242\n6937 10009\n8375 8609\n5904 8246\n4567 10402\n1473 10705\n9342 10470\n579 10227\n8913 10486\n9093 9277\n2023 7925\n3387 5445\n8112 10423\n3189 10417\n7786 8997\n2792 9102\n357 2818\n7873 8924\n4451 8810\n4300 6590\n3126 10451\n11165 11973\n281 1463\n3320 7600\n1702 7744\n4779 6432\n515 7382\n849 4342\n1114 6041\n831 10831\n8372 9875\n172 11022\n5714 10026\n3468 10015\n595 2941\n707 10116\n4706 11335\n1346 8358\n2722 8401\n737 11410\n2434 11508\n1665 11454\n7794 7798\n317 3112\n255 4419\n4592 10068\n10504 11986\n286 3565\n3511 10028\n3510 9765\n5043 7487\n6032 6583\n1664 11957\n2661 11660\n3279 7623\n3488 10506\n1575 8063\n4226 8180\n2037 10196\n3266 3338\n4634 8523\n7307 11265\n309 12148\n8137 8976\n3924 6738\n5779 6371\n251 10933\n8985 10276\n5843 11901\n1502 10023\n3844 5957\n4531 4580\n818 6760\n8134 11121\n1010 9289\n5047 11369\n5761 11081\n7127 8699\n3839 10690\n5283 5322\n1537 7042\n9921 12158\n3902 4540\n588 7831\n692 7367\n4363 11277\n2361 5529\n3652 7258\n4376 10264\n10582 10728\n7821 8538\n5521 7727\n6 958\n1540 3459\n8767 9397\n246 4280\n4311 4965\n4051 9411\n6647 9750\n4671 11899\n2365 4496\n3667 4938\n1249 4844\n6339 10914\n2001 9355\n4100 6236\n163 5962\n8903 11022\n701 10035\n7162 9430\n3435 7892\n11417 11978\n1803 3053\n2567 9343\n4451 8531\n290 1194\n4391 4905\n253 6856\n5304 5438\n5565 8619\n7557 10468\n516 9724\n4890 8137\n1633 11487\n1426 12075\n3913 11198\n1817 8604\n8876 10187\n10689 11667\n9717 10463\n6979 11155\n1696 2839\n5329 6178\n3965 7849\n5938 7508\n520 2449\n2152 7697\n725 4543\n4025 8528\n2819 7985\n1148 3259\n3914 8282\n4212 9789\n1639 4943\n8376 9459\n468 8717\n5257 10668\n4938 6447\n3334 7958\n2395 8678\n1467 11238\n4934 7350\n6186 10102\n1783 6494\n409 11413\n6064 9493\n5237 10632\n243 12075\n3119 8070\n1130 8227\n373 6267\n10025 11451\n5803 6140\n799 5790\n7103 7134\n6636 7727\n7899 8373\n1147 8541\n1419 2746\n6556 9797\n4198 10691\n892 10536\n364 10544\n257 8893\n1502 4931\n6372 7820\n3999 4004\n529 7366\n5363 11043\n3442 4136\n114 9602\n3432 11365\n2108 6987\n887 11764\n7872 9086\n6274 9124\n1266 6943\n6040 9162\n6 6271\n1426 2327\n9503 9569\n502 8542\n754 948\n5507 9194\n3183 9922\n6935 7431\n7683 11739\n943 1542\n5604 8575\n6026 9006\n10407 11945\n4406 8533\n5558 6691\n5781 8831\n170 1901\n3662 6707\n1517 8324\n191 2679\n3740 10380\n4421 5106\n5888 7568\n2724 8210\n5990 11961\n5211 10414\n20 4304\n2258 9646\n11347 11721\n1948 5883\n2931 8736\n11181 12195\n6169 9759\n785 2998\n1335 5247\n6430 9923\n3814 8729\n3417 6868\n1758 9569\n7132 12134\n3915 10736\n1004 10450\n5544 8278\n8286 9722\n3661 7519\n1129 9994\n287 5198\n2779 6845\n7006 7914\n3464 9618\n7521 8086\n4393 5479\n2334 11875\n963 9177\n3479 4569\n167 414\n3964 7244\n7507 8479\n7522 11241\n547 12159\n2376 2613\n3411 9713\n4841 7325\n3156 8294\n5834 5964\n2256 3378\n2732 11271\n2484 9629\n1702 5207\n200 10863\n1566 2049\n1537 7988\n4307 9592\n5743 9652\n1379 11897\n6605 7971\n6501 8698\n4692 8108\n9406 9805\n837 3411\n9593 12023\n2733 4508\n1587 11056\n3033 6076\n5768 7124\n4912 5013\n1928 1992\n6317 9187\n1025 11411\n6358 9800\n4818 11936\n2226 2486\n6934 8974\n5211 8682\n6236 8516\n4702 9294\n7709 10734\n2233 2386\n2103 8662\n726 7690\n1384 10960\n5393 7420\n3861 6919\n3543 10569\n7134 11973\n7072 8584\n1697 12156\n4103 7242\n733 2055\n1246 11274\n7766 12061\n2720 5298\n2837 7471\n2958 5275\n1456 7402\n837 5069\n7539 7715\n7099 7908\n2057 4813\n1627 11828\n1375 12022\n6649 10659\n6224 11130\n1275 4559\n2955 3770\n7681 11117\n344 7407\n299 3305\n1304 6347\n1519 7236\n211 4287\n82 4907\n2532 5705\n4998 7678\n4721 7159\n3702 4528\n1253 6034\n6796 11865\n3130 6153\n1389 10102\n5026 7870\n6318 10675\n5508 11809\n5980 11552\n8071 8263\n8339 8745\n2422 4527\n9852 11305\n336 2994\n5331 5694\n405 8993\n10943 11718\n9398 12120\n2667 10563\n161 9983\n4666 12075\n372 1671\n2311 7651\n3237 3486\n11520 11665\n2384 6325\n2411 3512\n3775 7721\n5328 7580\n2899 7381\n7526 11972\n248 6754\n2941 8468\n5665 7706\n4550 10635\n2938 9798\n1371 9407\n2640 11145\n7547 7791\n4555 5112\n8903 11983\n762 1020\n242 3416\n1105 1645\n1987 11363\n641 9870\n1312 2793\n1711 6419\n4449 10993\n5008 8290\n304 1633\n6049 9177\n2045 8193\n3070 8285\n5047 9234\n2209 7364\n7494 12193\n4454 9947\n2066 7378\n9235 10932\n2975 11755\n748 10853\n3116 11789\n6694 10509\n8568 11064\n2351 3631\n2589 11045\n190 9469\n5392 7756\n543 7278\n334 8303\n5514 6179\n4275 8148\n6539 10014\n2425 8379\n62 3167\n2114 10696\n4333 9583\n607 3640\n1140 9125\n7109 10166\n2407 2724\n3360 10601\n6242 6492\n6968 8655\n3197 9370\n1561 3338\n5584 6089\n1737 3069\n3351 4580\n9219 10315\n7671 7864\n4643 4793\n3495 7700\n9716 9841\n8862 11516\n6047 11466\n7873 8457\n5361 7085\n7015 9501\n6981 7864\n1870 3795\n6300 10625\n843 4031\n80 10361\n748 10031\n2256 9614\n5376 10417\n2313 4038\n499 10047\n2464 4926\n5393 9631\n795 2929\n2467 11350\n6505 10029\n3313 5874\n602 9532\n5579 11222\n5090 10659\n6295 7175\n9179 10974\n9718 12139\n1034 3657\n6846 9937\n7223 8585\n7039 8473\n4438 8791\n7468 12030\n2323 5333\n3154 3199\n3601 5619\n2061 11980\n3227 11052\n1590 2859\n7854 8152\n6917 8908\n5350 7686\n2364 9397\n1363 5338\n1455 9444\n5455 7824\n5412 11565\n2666 7273\n3220 10332\n141 9385\n2399 7177\n741 2711\n6216 7507\n7874 9456\n764 2402\n1128 6439\n1820 11722\n3320 7479\n4934 8642\n5014 8630\n3698 4730\n2975 5110\n1685 6403\n5512 9583\n1135 4386\n3346 4149\n5318 10568\n1868 3286\n4073 10192\n3797 4837\n4050 4618\n5846 8164\n6763 8427\n1178 6443\n10745 11057\n1310 6988\n1390 6583\n4872 6017\n5619 7727\n8863 10800\n1074 9115\n7197 10633\n1169 2822\n2052 3503\n12028 12166\n3828 9371\n2223 11489\n7948 11008\n5718 9603\n2989 5783\n749 9336\n3123 5361\n5367 10221\n121 6068\n4927 7672\n4067 7768\n4078 7558\n7384 7811\n4770 10612\n5658 7961\n9627 10922\n1478 9887\n4323 11500\n8049 10836\n6728 8906\n4645 7502\n1018 5964\n1028 10982\n4853 6168\n4470 11504\n6199 7053\n8889 12113\n1096 4281\n977 1640\n1478 5879\n6303 10786\n3121 6818\n223 2607\n5750 6560\n6299 11635\n3518 9065\n107 4821\n7888 9597\n253 2328\n9545 10109\n7766 11476\n9386 9870\n140 6755\n5985 10212\n361 8347\n1248 12014\n933 7528\n4960 7238\n303 11935\n6680 6713\n1414 1467\n5290 8886\n1377 2850\n1863 5530\n6133 10573\n2512 12134\n3967 10416\n4420 4428\n136 4242\n4442 6535\n1049 7608\n8292 9323\n3667 9590\n1892 4116\n3582 9641\n1110 8257\n150 2058\n3239 7529\n8244 12105\n5865 12087\n809 2036\n2318 8065\n1919 3245\n1566 7837\n985 2891\n546 5033\n6172 11102\n4066 7644\n5343 5880\n4360 5311\n3452 8773\n4633 10177\n10457 11388\n8356 11998\n3477 12087\n3531 6147\n6142 8667\n2169 8299\n6055 6224\n74 4131\n460 10023\n599 2153\n195 1685\n3017 6989\n9966 12137\n3391 11048\n10739 12030\n1096 7272\n7803 10864\n511 7527\n436 8746\n451 2255\n844 2484\n4976 5117\n263 875\n3603 4795\n410 1041\n4131 8504\n5107 9475\n6092 6965\n6674 12049\n4024 10307\n4387 11316\n1765 5976\n4743 6179\n915 4000\n7001 9497\n2062 4066\n6446 11994\n6365 11090\n4127 8043\n4383 9149\n826 10990\n1005 6060\n7294 11429\n548 11263\n3597 9333\n6046 11340\n3296 8082\n1668 12126\n2579 10773\n2478 12000\n1540 3100\n4939 10216\n161 9678\n579 3147\n7620 8044\n8206 9189\n4190 9480\n7599 12164\n577 10637\n1099 2397\n4110 4760\n5156 9255\n6621 10249\n661 1663\n1990 10970\n3526 11172\n3861 10804\n1608 2389\n10947 11064\n333 3070\n135 3762\n6430 6948\n2334 9711\n5790 12012\n1865 3091\n10246 11038\n3762 5588\n2759 9960\n3027 6522\n4131 9958\n1426 2054\n4681 5914\n6948 10622\n7486 9795\n4542 6046\n5929 12083\n3652 9488\n2195 3040\n287 9508\n8270 11329\n7927 11134\n8064 9140\n4149 12078\n7658 12087\n313 4994\n5755 6185\n2569 10153\n9859 11497\n1741 9905\n7050 9630\n2904 4335\n825 6834\n2504 2634\n5147 11729\n2784 10999\n522 7310\n1702 6419\n11900 12049\n2773 10401\n189 6882\n8621 11733\n1571 8631\n7909 9691\n9737 9932\n8527 8855\n9441 11870\n8105 10875\n3125 5977\n9006 11056\n1307 11921\n959 10009\n4047 12001\n1675 6279\n1488 6149\n6258 8605\n5597 11048\n3601 7618\n3918 11406\n1325 8542\n3045 7578\n68 8193\n3623 6270\n9667 11206\n8752 11941\n10650 11417\n2237 5818\n1126 3361\n1984 11318\n4314 5392\n1062 7487\n1818 6928\n10247 11819\n8016 10538\n181 407\n3629 4012\n1418 6768\n2978 5956\n671 6460\n6807 11126\n823 7079\n3470 4084\n14 262\n2589 4706\n30 409\n3211 6333\n3316 5267\n479 5396\n633 5687\n5421 9457\n7069 10488\n1210 2181\n3193 6606\n6910 11102\n3841 6908\n9459 11842\n5428 8569\n3114 11792\n6709 10058\n742 7984\n9239 9433\n7847 12035\n1290 9947\n1882 5391\n1556 6321\n4538 4936\n5660 8276\n4898 10745\n6232 8218\n1510 8342\n9619 10542\n524 4950\n2520 4701\n8615 9539\n3290 4617\n6936 9976\n8285 9852\n4037 8317\n4298 6594\n2756 8968\n2098 8643\n4060 8984\n5908 11619\n8464 8920\n4107 12092\n10002 10041\n3735 7333\n207 5781\n1500 10016\n6699 11670\n1677 10687\n854 8062\n2800 5417\n4640 6146\n1184 10571\n7413 7635\n1759 3603\n1973 3109\n3736 10061\n3963 11317\n5884 7890\n791 6859\n6481 10394\n2503 8558\n6884 7616\n1671 2673\n5215 5360\n4964 7550\n3346 5550\n2471 5107\n8012 9927\n1505 2534\n1981 8227\n3611 4311\n2088 7360\n6897 7973\n1534 7442\n1438 10604\n3283 3292\n1282 6538\n1592 2094\n4876 6186\n703 3068\n497 10916\n1624 6942\n77 2367\n2658 3708\n1133 9020\n5144 10157\n3391 7468\n7467 9471\n6112 9988\n6231 7181\n833 11666\n5628 6928\n6305 10070\n3959 8776\n8252 11843\n8133 9041\n3400 4683\n11087 11443\n3772 8243\n8536 11992\n1291 7503\n453 5000\n7775 9281\n6711 10051\n4048 10053\n1875 9535\n1438 3684\n366 3954\n2703 7626\n662 7276\n5293 11556\n3241 11788\n3670 5725\n1257 1615\n2717 10142\n1192 5525\n5101 9856\n3647 9339\n4088 9823\n5922 9266\n6597 7668\n670 3726\n2721 11600\n9245 11710\n1097 2302\n7622 10121\n6163 8351\n3306 4649\n1715 7129\n697 12196\n195 3398\n5848 8849\n7969 10220\n2415 6666\n3401 11655\n2640 2801\n1000 8304\n1098 4259\n2715 3131\n1018 3953\n3207 5595\n8938 10202\n4953 5767\n6226 7794\n8798 10341\n6838 8421\n2906 5232\n4506 11454\n2581 4389\n11296 11369\n1901 8547\n498 2361\n1249 8561\n3747 10119\n9808 11876\n1307 9856\n2456 11938\n395 3424\n1957 9013\n2307 5614\n4515 5242\n4541 5593\n5467 11164\n5080 5351\n8421 10995\n4724 10703\n1669 7351\n507 12103\n9478 11724\n7226 9933\n7488 10101\n601 8096\n1296 1626\n446 6011\n4521 9568\n4102 10375\n5030 5218\n9963 10288\n9436 10328\n4898 9856\n3749 5246\n2557 4028\n3468 4981\n2666 4186\n2518 10241\n4196 9637\n2988 9625\n913 5559\n1304 3914\n114 5765\n2682 11918\n6401 7257\n10586 11152\n755 3024\n6546 8628\n8576 11507\n9196 10143\n3417 5025\n24 3581\n2083 9653\n7104 7758\n9241 10935\n1955 6483\n385 5179\n3997 11860\n3758 11088\n9115 11570\n2647 11146\n726 9169\n2003 2608\n1537 2772\n1683 4259\n196 6861\n7485 8712\n9670 12125\n7769 11872\n5753 11292\n1396 1819\n6406 6832\n1130 6324\n8355 10961\n3898 8964\n10154 10415\n1654 10212\n1014 2011\n4169 7921\n5741 6454\n2900 3568\n864 11698\n6526 8048\n6350 8333\n550 10797\n6428 6469\n406 1206\n5998 11036\n4461 9995\n3459 7042\n6281 7237\n11866 12158\n4465 6999\n2731 11522\n1306 2177\n6130 8348\n3125 9374\n2356 3366\n1170 9119\n3972 4630\n3273 7073\n7275 7516\n4405 9335\n2366 2697\n1564 7466\n3883 7939\n1153 7249\n5437 10421\n5395 8096\n370 488\n2822 6225\n396 7143\n1354 2984\n1170 7171\n2052 9850\n583 8954\n4038 9711\n4093 6107\n1741 11285\n4215 5222\n8795 11513\n778 3849\n5323 11238\n3789 10756\n1374 5325\n1530 11654\n7115 11609\n916 1013\n1798 7417\n6494 9425\n622 8281\n476 6990\n1793 5215\n6092 11473\n278 1395\n1131 8443\n2209 6478\n3402 4549\n5314 10783\n497 10822\n4586 8449\n3752 5490\n10309 10631\n5919 9049\n3289 8085\n4057 9586\n3360 10332\n7528 12128\n5534 9147\n1125 10547\n1815 9847\n2029 4038\n288 7923\n679 3113\n6780 10379\n3690 9200\n9846 10032\n2734 5898\n395 11682\n7639 10761\n3128 12019\n9872 10029\n7367 9908\n10888 11404\n2602 6399\n5825 6464\n8598 9402\n4128 6219\n1377 5455\n58 2947\n705 9397\n1024 6450\n4321 5059\n3575 6417\n9162 10166\n678 2780\n3684 10828\n4051 11632\n890 4698\n6904 7295\n2164 9131\n10841 11932\n8097 12072\n1860 6117\n9919 10156\n827 2557\n3016 5886\n295 3661\n1975 3558\n1073 9153\n996 8331\n8978 11134\n3861 9392\n6645 9085\n543 7667\n1064 1694\n8661 9256\n3449 10109\n6337 7895\n1618 11838\n7969 11004\n2754 10454\n1603 10330\n2696 7652\n9729 11501\n3214 3371\n3097 9793\n3091 3543\n1714 5662\n111 6377\n8172 8543\n5276 6292\n1320 10038\n5758 5798\n458 2696\n6495 10978\n3643 11873\n9950 11948\n2717 6608\n2301 11155\n6409 12118\n7138 8726\n4194 8754\n2626 3204\n1983 3390\n4682 6380\n7454 8389\n9698 11896\n1122 7620\n6311 9045\n1274 7027\n2407 7497\n4164 8179\n5317 6315\n2457 5444\n5629 7919\n264 5128\n5483 5695\n7222 12155\n5014 9227\n1615 11827\n4373 8520\n6797 9621\n5422 11130\n3113 4600\n4162 11740\n10763 11913\n5065 9208\n1286 2889\n6942 7230\n4717 9188\n8174 8989\n972 8561\n7390 9648\n5313 10168\n6294 7868\n7192 8522\n7522 11892\n8036 11043\n4313 11319\n1135 3886\n1084 2171\n2239 8526\n10308 10761\n6099 11218\n37 628\n4332 7785\n4701 11136\n5126 8503\n10841 12128\n812 4135\n1491 4268\n8421 9270\n9382 11886\n563 2042\n3889 4660\n336 11614\n1407 6567\n3792 9540\n3504 10794\n2337 4911\n10108 11316\n1738 3232\n2259 8912\n5770 6637\n8683 10574\n2317 11511\n676 3316\n7363 10864\n387 7468\n4852 5145\n4656 10196\n5154 9995\n255 1684\n3047 11994\n860 11154\n8941 11282\n4127 5954\n5443 7030\n82 3699\n420 5248\n3819 10339\n528 11625\n2706 12195\n3580 5235\n7729 8050\n7459 11421\n1399 2084\n8938 9539\n3460 11618\n1299 5231\n4730 6590\n1659 8554\n3956 7524\n7176 11632\n1429 9292\n7873 10240\n3314 7891\n4377 6598\n2778 6876\n839 10206\n8575 11108\n1848 11549\n332 3748\n3116 11641\n7124 9354\n1528 9629\n7262 9471\n8581 8712\n1225 1825\n978 11592\n2748 5838\n3548 4967\n6816 8686\n3777 4756\n7890 9430\n5442 7985\n2431 9042\n6572 6713\n2464 4931\n5852 11129\n1928 7188\n6418 8053\n3459 5429\n2430 2621\n4704 7120\n2255 2292\n8393 10008\n1871 9123\n1889 8836\n3468 9775\n3338 10148\n2221 9419\n2648 9976\n1394 4802\n6372 10121\n8119 9685\n8840 11403\n1022 2945\n5212 11828\n90 5642\n17 4433\n2248 3905\n7995 8925\n327 3237\n7006 7877\n9329 11193\n4107 8596\n1536 8116\n3893 11559\n6138 6375\n4779 9174\n1664 8446\n3836 5356\n6083 11804\n6315 6494\n213 5358\n5672 6437\n638 5994\n885 2240\n412 7808\n1670 4092\n2129 3140\n5693 7466\n379 4649\n1853 4995\n4596 5007\n3137 6445\n4967 5139\n846 2528\n3650 9174\n436 9667\n2465 4674\n3573 6286\n6590 6803\n6848 10095\n10360 11631\n4207 7187\n2303 8553\n10717 11627\n4306 12018\n5103 8319\n3041 10637\n2917 5077\n478 1512\n4261 6572\n2419 2764\n4275 11383\n166 11391\n7348 9443\n1 7804\n537 11876\n187 3167\n5203 9786\n1610 10826\n5036 11145\n1184 6465\n5481 8450\n5332 10074\n1534 7447\n1049 4378\n4711 9839\n3135 3842\n347 1076\n3790 6295\n3032 5750\n7856 8325\n3550 6733\n4706 5412\n5168 5875\n2310 8638\n7293 9027\n7989 11047\n5005 6708\n4948 9897\n5449 8517\n5588 7946\n7762 9360\n3429 6447\n4004 4653\n5891 7090\n10227 11503\n830 6761\n4952 6101\n6649 8297\n1591 5261\n1045 1322\n743 2851\n2924 7559\n2166 5113\n649 1761\n3929 9560\n3517 7647\n1974 10744\n6324 7311\n190 2033\n2453 7181\n1131 2247\n4381 8368\n1911 3292\n3271 6093\n924 7757\n6477 10616\n8934 11823\n5781 6927\n8501 9051\n6239 9382\n593 5990\n900 7241\n2086 6963\n1459 10918\n1328 9138\n68 5694\n8684 11742\n9613 10742\n4407 4838\n255 11883\n709 8912\n4855 8026\n1177 8313\n4132 9884\n4661 9038\n1804 1935\n3854 7860\n5638 8290\n1895 6649\n6665 10771\n1242 2457\n1852 7431\n4593 12000\n8637 12093\n7449 8854\n8760 11870\n2150 9941\n6880 8427\n584 10941\n4860 9670\n3760 8385\n4535 6195\n1533 10932\n4641 10985\n3494 8508\n1854 3576\n1018 8762\n8096 10311\n422 6666\n1976 9322\n8863 10029\n431 6414\n6050 7474\n5891 11016\n1692 7265\n4723 9516\n1936 10360\n614 10093\n6492 11141\n8767 9358\n1587 6459\n7830 12186\n2548 2930\n3562 5140\n5657 9776\n438 1959\n2040 7134\n1798 4541\n824 2335\n5072 11077\n622 4929\n3541 6661\n3883 6750\n2865 6470\n131 9704\n2511 10808\n376 12069\n3256 9390\n806 5130\n6792 12090\n3704 8094\n5225 5443\n1190 9912\n5041 11316\n4435 10710\n2290 6301\n1770 6325\n3299 12112\n5582 8052\n5946 11512\n1808 10428\n870 10566\n6791 7571\n6085 9814\n563 6487\n6721 11782\n9969 11678\n484 1634\n2289 4676\n999 9373\n3938 8278\n11596 11974\n5580 8502\n9345 10461\n1980 2961\n2966 5561\n6065 11965\n3613 10618\n5996 7376\n1328 9656\n604 7310\n1220 3045\n8242 11984\n2325 10568\n2481 5094\n3649 4663\n9845 9963\n2035 8819\n2474 7076\n5530 7425\n4608 6111\n4823 6232\n8584 12188\n2065 4613\n104 5497\n587 11262\n1583 3187\n10016 10371\n8023 9276\n4707 11923\n9527 9744\n2492 10267\n4739 7104\n7234 11206\n266 474\n3813 10070\n5157 9519\n8610 11120\n8714 8839\n11003 12105\n730 4353\n1991 10845\n2259 8517\n4154 11201\n3438 3707\n6250 9775\n2475 7425\n4479 6159\n4180 8482\n8842 11756\n547 7652\n5326 5649\n277 1055\n149 11812\n2141 8810\n8418 10247\n1923 5940\n3162 9369\n3345 11131\n11579 11819\n89 3085\n905 8296\n1348 9299\n8053 8273\n3363 7344\n3537 4283\n4426 10112\n8817 10092\n4154 9331\n5990 7491\n4234 6582\n4520 8941\n4652 11611\n458 7083\n7071 7158\n653 6681\n9151 12099\n1010 8172\n399 5975\n4374 8188\n1336 4787\n2150 4476\n1233 3119\n7139 9924\n3260 3495\n8065 10999\n1041 8072\n7331 11957\n3782 7457\n7706 10833\n6316 6444\n7136 11780\n2249 11414\n4016 7065\n1204 8399\n5287 5617\n7580 7992\n10754 11710\n3454 3808\n5796 11695\n6067 8322\n8998 9653\n6313 9048\n3832 8946\n1203 4043\n6072 9535\n7960 9815\n6990 7115\n1396 5385\n2481 6265\n233 5768\n1021 10690\n9890 10481\n8471 8841\n1524 9845\n5124 8330\n403 1834\n3668 8046\n4274 4371\n10119 10809\n465 860\n7371 10085\n4166 8107\n5552 12166\n1334 2729\n3261 11149\n11095 11479\n1318 7657\n2648 5131\n10531 11818\n11237 12120\n888 9098\n8454 8975\n624 11396\n8583 9220\n2032 2757\n9440 9606\n8482 9645\n2875 11931\n8224 8607\n1216 4123\n3762 6981\n4503 10680\n2167 11070\n1649 10336\n913 8399\n699 12151\n9882 9950\n700 9703\n503 1054\n1200 7195\n4657 7069\n1512 6320\n831 9374\n4832 7927\n1482 7436\n5365 10901\n9405 10465\n10489 10716\n5640 11709\n87 8463\n2160 6050\n2100 11142\n8407 12166\n6183 9976\n1294 5014\n2993 9328\n2770 7641\n321 11953\n2533 5188\n6197 9408\n3424 11801\n207 1208\n3803 5859\n6505 11770\n311 1798\n5305 11660\n5964 6894\n41 10987\n2238 4331\n7286 11394\n1182 11213\n5821 10052\n996 8482\n1344 7949\n991 11407\n11539 12158\n889 8832\n6177 6883\n7999 11550\n1072 7185\n8768 10950\n2853 3337\n1342 8847\n5357 6174\n4277 8561\n2173 11834\n5316 6486\n10477 11697\n1494 3540\n1791 12110\n1166 10932\n2176 12073\n3932 5700\n683 2855\n11419 11616\n1327 10232\n6598 11090\n9241 9813\n4999 6343\n108 11945\n7943 11073\n2524 9901\n8800 9453\n5526 10009\n2480 4790\n4686 7572\n3023 7034\n8560 10429\n7235 10689\n7302 10203\n381 12104\n3292 4297\n179 9876\n11763 11942\n3028 10042\n2590 10031\n2087 12002\n1552 2902\n7446 7851\n11393 11690\n1472 7627\n3398 6347\n4534 10299\n8814 11033\n2370 6849\n3875 5722\n10261 11747\n1877 5850\n10413 11261\n8321 9335\n4564 6134\n4728 10993\n11812 11906\n1588 2400\n354 11356\n2637 9389\n34 7564\n3713 3725\n548 922\n242 1462\n9969 11659\n1332 7917\n6484 6496\n3913 7556\n6808 7513\n7910 11961\n3679 9290\n1282 9991\n5936 10358\n1765 7367\n6490 10827\n5994 7373\n5327 5345\n4306 4633\n452 874\n4421 11919\n6254 8399\n990 1408\n5353 9871\n5601 12031\n7870 11262\n6483 8038\n2322 7952\n3118 4060\n2870 10059\n4882 9321\n5978 11809\n1695 4461\n8196 10070\n2854 7714\n699 11598\n3520 6517\n1845 2982\n2621 9565\n10347 11999\n517 3721\n5758 10069\n10759 11650\n5587 9588\n501 12110\n7426 10947\n5408 9836\n1371 4088\n895 6674\n2934 3614\n753 10648\n2327 3176\n2013 9357\n7531 10004\n1256 9700\n948 9539\n1718 6066\n2879 5087\n7661 10668\n1785 8021\n8320 10320\n1392 9200\n6375 8767\n482 7282\n5806 10520\n4501 6711\n4316 6663\n6683 8688\n7396 8761\n10500 11599\n9927 10709\n6653 7733\n324 5821\n1151 4929\n8087 9536\n2552 4129\n2957 5699\n1093 5629\n11144 11181\n7518 9167\n3138 7443\n5351 5418\n10621 11638\n826 3867\n1855 3110\n2108 10992\n2220 5441\n511 8637\n1432 6342\n1535 4078\n86 10686\n2265 8686\n8725 11164\n5490 7526\n618 10959\n1480 2689\n640 5685\n1035 4476\n1204 6650\n7109 11360\n1240 11726\n6322 10153\n2351 11954\n5822 7192\n5627 11817\n871 1557\n4302 10337\n6198 11171\n4322 9190\n2249 7602\n356 11644\n5689 7707\n3347 4498\n1481 6266\n3119 5305\n4544 6539\n7039 7176\n515 11285\n9564 11622\n3318 11541\n3912 10335\n322 9143\n5810 10375\n7660 10704\n5531 11893\n542 6283\n6394 7540\n2353 6877\n947 1074\n9832 10005\n372 1676\n3896 5976\n4302 8387\n738 5526\n548 7140\n215 8918\n2438 9274\n21 150\n276 5580\n10752 11715\n1894 6473\n6881 11441\n11411 11849\n352 7742\n9062 9258\n4164 8633\n745 7726\n5736 8086\n4761 8704\n4504 5651\n10719 12024\n3953 7008\n3262 6864\n4204 7396\n5154 11353\n1622 9475\n2684 6093\n3491 3543\n404 814\n4265 10724\n2645 11090\n286 8010\n6933 7795\n2914 3348\n3500 5353\n3536 7136\n2294 7319\n1374 4310\n422 3498\n175 7923\n810 9180\n5658 10880\n8808 11250\n9613 10807\n7289 9285\n1720 5826\n1401 8948\n463 1702\n8808 9388\n2769 10283\n693 2710\n3306 5814\n10564 11389\n255 1191\n8182 9871\n891 11025\n5101 6019\n4765 11308\n8157 8415\n5623 6733\n358 7392\n4115 11690\n4492 10922\n1030 1269\n3509 3864\n697 11637\n8983 9820\n2897 11416\n4763 8806\n8048 8270\n6086 11039\n1487 11154\n8886 11937\n6730 7937\n8840 11591\n6218 11577\n9386 11199\n9095 11606\n1709 2045\n9601 10342\n145 5041\n3797 10479\n956 7655\n2664 10163\n3385 7983\n3955 9130\n9613 11325\n2072 8096\n1763 11963\n2103 4867\n779 10532\n3983 8904\n1403 10176\n5215 9362\n7534 11900\n1737 9785\n6823 8666\n1780 3411\n4918 11044\n6160 12094\n5325 10308\n5225 11885\n7875 10768\n7836 8810\n3097 3506\n5602 6893\n2844 8488\n96 11037\n1493 5234\n908 12037\n3886 11728\n808 3881\n9357 10442\n8394 12013\n1113 5783\n1359 1854\n2902 11764\n3673 4967\n3516 10885\n2021 11620\n3848 11415\n4717 9088\n335 2393\n228 10166\n2913 7122\n3251 4473\n4572 10758\n2008 5169\n5735 11777\n8429 12053\n4102 10489\n2147 10690\n7924 10223\n2258 7505\n4918 11550\n6984 11612\n5100 8389\n4418 10245\n5017 5155\n5354 9953\n1991 6084\n1343 5681\n11053 11207\n111 8771\n5427 9259\n5361 8879\n8654 10135\n2464 8413\n1994 5353\n1130 4205\n1295 10561\n1390 8257\n2734 11253\n2088 4173\n3081 6966\n7066 9581\n727 9921\n2597 10782\n8025 8924\n2238 7602\n3511 9394\n8218 11569\n4147 4347\n214 11873\n1951 9625\n4947 4966\n717 8337\n4511 7983\n1685 1976\n7227 7776\n6728 7424\n9914 10724\n2812 4614\n2085 3001\n3361 3505\n6861 7705\n3679 11563\n3079 7131\n6547 7186\n13 5224\n2573 10045\n4600 6948\n789 3875\n1701 2947\n5248 5636\n6310 8650\n1544 11397\n3794 11420\n6377 10932\n9158 11805\n1352 1555\n3700 10866\n9437 10277\n1286 8034\n2463 7976\n5790 11671\n3227 4139\n501 5853\n2399 6856\n6148 10782\n9855 11823\n6815 7915\n4874 7066\n213 7370\n4756 10280\n7551 8803\n4895 7207\n2551 5382\n1939 8993\n5987 10035\n4239 6092\n1925 11174\n7447 11083\n4208 7071\n1440 8413\n415 4161\n4048 10002\n4329 9406\n916 12062\n1021 2691\n4637 8508\n1451 5161\n1724 9895\n7101 7300\n5295 6087\n2165 12104\n6566 6754\n4127 6894\n1653 2634\n738 3904\n5082 10307\n4102 8268\n4568 5930\n1784 9929\n1643 2756\n227 7281\n4684 5690\n4200 7526\n8366 10495\n1671 10370\n8910 10233\n1153 11328\n10171 11217\n2318 11167\n2440 3750\n1742 10541\n5935 10119\n2342 5946\n4150 10988\n1853 4549\n3359 7451\n983 2243\n1621 3851\n2836 9319\n4604 6326\n5856 6590\n4396 5694\n10146 10617\n4382 8541\n1687 10769\n3319 10689\n9787 12118\n5657 10239\n7005 10071\n130 466\n7709 8618\n7449 12115\n516 1636\n4347 4799\n5897 9908\n1337 7577\n1266 9440\n379 10112\n4783 9684\n3599 10758\n125 1542\n6202 7667\n4021 7714\n9541 11235\n4238 8924\n5297 6588\n2849 6039\n7267 9439\n4162 9251\n2138 11950\n855 10250\n8563 10423\n5071 9235\n815 3299\n8828 8890\n8914 11891\n611 7662\n2284 9829\n1361 11369\n1087 9141\n528 8389\n29 9454\n4678 11295\n6058 10154\n9100 9376\n7815 8937\n8724 9320\n9261 11222\n3068 11566\n3396 8206\n5640 9389\n5469 6625\n1235 1856\n3484 9264\n7611 9298\n2780 4374\n2848 9380\n3475 8626\n6510 6694\n6812 11444\n1626 3845\n2478 10185\n5709 8112\n1443 10588\n2819 9350\n3725 9198\n309 3599\n3408 6398\n6756 10455\n5290 9084\n7376 11047\n2333 7517\n1650 7949\n1158 11772\n3242 10386\n5531 9996\n11763 12118\n6579 8538\n3075 6500\n4185 9769\n4282 8077\n6297 10201\n1420 4106\n1567 6984\n7269 8598\n3607 11649\n3194 7097\n3266 10723\n4568 9380\n1952 4133\n3886 5319\n4246 5107\n1045 3878\n2877 7106\n5972 6456\n5835 7846\n3867 10216\n902 3424\n6689 8834\n736 1115\n4378 7315\n1793 7704\n6197 9973\n3154 5167\n4610 5606\n10433 11855\n4512 4591\n453 5948\n5480 8466\n10078 11498\n9935 11609\n3219 10691\n1335 5843\n1542 11349\n736 9802\n1241 1839\n6317 7476\n9703 11640\n9864 12102\n2453 8657\n942 11102\n7302 8627\n3529 12040\n8460 9334\n4580 6529\n4721 9252\n22 3311\n4698 7953\n2152 2475\n4422 8844\n4507 7896\n1166 6597\n6655 11759\n1701 8783\n1534 4572\n5127 10753\n3748 4495\n2980 7284\n3138 6450\n9145 10040\n4951 10155\n2457 10813\n5222 7239\n3971 5099\n4603 9542\n848 2139\n5375 8043\n3812 11567\n3880 9415\n3158 9847\n6568 12035\n4679 4811\n4249 7735\n3234 10591\n5758 11615\n688 12099\n4182 11570\n5598 9083\n3055 7443\n2650 4274\n1828 5431\n4074 4892\n5928 9161\n6449 11964\n3647 8798\n10425 11541\n2861 2865\n5406 7442\n9833 12166\n2122 3616\n3155 10584\n4840 5807\n1347 1712\n2298 2678\n6935 7236\n1115 4584\n4347 6800\n7150 7343\n2119 9830\n1618 6224\n3800 8492\n4123 5993\n6015 6157\n1657 5211\n2445 11669\n3494 4681\n2061 5799\n3419 6536\n8646 10078\n8301 12036\n1696 8571\n616 11238\n10003 10185\n2336 7399\n1603 1724\n8733 10385\n4250 9060\n686 10161\n2255 6469\n6924 8019\n4173 8258\n8616 12191\n2747 8230\n4419 8495\n4622 11606\n7815 11214\n7136 11240\n2956 10010\n4749 6681\n4276 5187\n8381 10780\n844 3460\n4410 7008\n5600 9926\n6234 10879\n1225 8399\n2378 6470\n7262 8006\n5041 12040\n2711 9329\n4684 10075\n8631 10916\n3912 9912\n6393 10892\n6365 7691\n4808 8676\n173 10179\n4335 9056\n4887 8522\n7629 7713\n4954 11305\n5408 9519\n3471 7566\n2552 12138\n2456 11368\n3596 11243\n821 7396\n3053 11345\n2258 6860\n3830 12064\n1499 4409\n7506 9418\n2110 9338\n2236 4739\n10762 10923\n7933 10072\n2350 6174\n5544 10957\n976 1415\n1887 5807\n3021 9873\n994 8051\n5356 10094\n4775 8602\n3322 11606\n5702 12040\n3475 5413\n5540 7424\n7873 9949\n4776 9237\n8127 11038\n2999 5407\n6884 7250\n2851 9151\n1939 6456\n1131 11231\n5161 7009\n7271 7762\n3589 8893\n4598 8085\n3000 8163\n4771 9961\n666 9706\n3528 9938\n2132 3262\n960 11956\n5233 10717\n1981 10145\n1786 6558\n2668 7616\n8298 9144\n577 3831\n10383 11761\n365 2653\n4612 9350\n4476 9243\n2831 8218\n1520 12104\n6244 7428\n7780 10423\n1841 8732\n7498 10275\n4260 10232\n570 10401\n4766 10030\n35 9209\n3772 7817\n5637 5791\n6146 7465\n599 658\n6168 11281\n4591 4667\n19 8159\n5319 9495\n3370 9154\n4145 6643\n6620 8358\n830 12164\n497 5228\n6083 11204\n966 9033\n1170 3569\n6006 8538\n2410 5439\n8295 9893\n4707 10857\n5219 10300\n8661 9943\n4489 7323\n7626 10267\n44 4827\n4744 5294\n3919 5423\n2286 11126\n1418 10679\n7132 8498\n4415 12035\n9255 10000\n2848 4777\n1059 9646\n1734 11602\n11387 11596\n385 6865\n4118 5366\n6973 10131\n11186 11602\n1736 6723\n3031 7603\n5802 9710\n3743 11238\n7193 9253\n8390 11041\n642 6729\n4024 9356\n2418 11012\n291 7722\n3195 3651\n6289 10202\n10744 11044\n3508 5715\n6776 7088\n1684 10312\n4548 9138\n9627 11724\n4947 7904\n793 6795\n1749 7713\n9596 10732\n419 8605\n5402 6632\n2477 12104\n10181 11243\n6457 10743\n10482 11729\n2401 9343\n1270 10333\n3864 11277\n918 7679\n2973 10072\n1277 1441\n6128 8921\n1481 8213\n882 11876\n10354 11904\n3155 4853\n20 7318\n10066 10089\n8615 11928\n1683 4511\n3778 11060\n2661 7175\n10158 10883\n3968 9357\n217 4512\n1396 2700\n7162 9014\n6310 9049\n801 9379\n5768 9784\n2129 5604\n2212 6747\n7079 7197\n3 3931\n8037 9136\n6441 9672\n3426 4968\n4990 7242\n7057 10903\n6925 10684\n3621 4176\n1534 7833\n2473 10964\n265 1193\n5243 7534\n3919 7981\n376 2478\n2573 5400\n9671 11444\n7495 8347\n5762 7225\n5791 8105\n8217 10885\n5082 10164\n10020 11881\n2118 3976\n1612 11640\n4998 11600\n5167 6975\n2707 6729\n3722 10991\n2935 3842\n6865 10023\n423 3112\n682 2452\n11369 11552\n2359 6817\n8271 9074\n1741 2504\n2698 7984\n9749 11284\n4336 11038\n9135 11771\n3116 10906\n1157 6593\n1051 3124\n8419 9394\n2287 10046\n628 9192\n2078 8457\n5955 7894\n4124 7757\n1298 7753\n9255 10472\n6078 10687\n2978 11608\n3423 4709\n1057 9976\n5290 7650\n3374 7973\n234 2292\n638 7251\n7207 8074\n711 1110\n2020 3989\n7935 10486\n2875 9923\n3124 4323\n3039 3450\n11772 12127\n893 2109\n3036 8918\n361 578\n5552 8352\n355 11965\n1000 5119\n4372 5991\n2288 6373\n4153 11576\n1538 3647\n1555 4044\n41 79\n4355 5761\n5592 8441\n7303 10538\n1289 10481\n1149 9652\n1245 2819\n5036 6984\n9038 9427\n1254 8278\n1251 3433\n4448 6626\n4547 9868\n5798 6505\n4128 11651\n2327 3535\n6411 6916\n1652 2579\n3900 10108\n203 2893\n2965 4922\n7560 8990\n6401 10890\n320 8435\n919 8317\n5573 7650\n5676 10021\n2754 5664\n1458 1837\n2023 8676\n1056 5565\n1070 1788\n5337 7345\n4726 5436\n9364 12158\n2757 2773\n2972 5676\n8245 9810\n2368 7316\n821 7609\n1172 11181\n813 6579\n1678 5175\n598 2784\n1394 6449\n3116 4592\n4887 9568\n4774 4818\n4325 8058\n5093 12063\n511 5597\n713 10749\n6227 11458\n4849 10874\n1094 3691\n2836 9927\n8953 11844\n5008 7402\n633 11386\n2648 4280\n1908 3416\n250 6276\n2030 6909\n673 6132\n2917 3888\n1437 3670\n7350 7516\n5165 11925\n6266 9758\n2849 10998\n1523 6529\n1833 5957\n1421 11953\n4277 7310\n2461 11049\n4029 12023\n116 11722\n4764 7362\n3449 8883\n2098 9711\n3687 5856\n4183 8794\n10130 11354\n3313 5360\n575 3777\n2279 8921\n7391 11597\n7041 7951\n2657 4037\n10805 11584\n1034 8188\n7038 7285\n2687 9057\n1408 7174\n10685 11302\n3789 5523\n267 12021\n6086 6632\n894 2642\n2124 7296\n11054 11603\n7026 9512\n6260 7221\n2256 8114\n7048 10662\n6605 7829\n5464 10630\n4437 10980\n5467 7593\n3420 6203\n3985 10961\n10938 11961\n7129 9513\n2044 7979\n4104 8445\n5237 5995\n3189 9000\n1317 12161\n3557 9223\n9463 10151\n1499 6588\n1607 9257\n1424 4177\n3635 4211\n2623 6943\n1963 4072\n2165 10392\n6357 8647\n10025 10922\n4223 8112\n2649 11050\n7204 8345\n6600 10782\n5995 11682\n2626 8095\n6365 11796\n4461 7021\n2415 8759\n804 3257\n6393 8976\n8478 10253\n3136 9066\n8173 11940\n1447 7288\n4294 5775\n2181 9409\n5679 8681\n3667 4287\n920 2540\n3784 10855\n3041 12052\n1393 6830\n3958 9190\n471 8005\n571 11280\n5312 6466\n2560 4319\n65 1683\n2942 11907\n2003 8265\n201 3843\n5652 9593\n199 10587\n2529 2614\n11721 11995\n4939 9956\n11982 12152\n1273 4310\n1158 2473\n2488 2906\n4171 4542\n2228 9160\n10091 10930\n9963 11097\n9887 11456\n6693 10296\n1431 5576\n5713 5974\n6799 9575\n6254 10091\n10109 11404\n7387 7394\n6996 7612\n3985 10055\n8384 10109\n6567 10336\n7483 9840\n6601 8316\n684 5655\n50 52\n2240 6803\n5686 8838\n1855 6457\n1355 8111\n1730 6503\n9478 11515\n3942 7181\n3909 7566\n8204 9600\n9436 12077\n1737 9801\n9263 11737\n236 7143\n173 11526\n4426 5610\n2824 4564\n3207 7872\n5633 10604\n8086 12009\n263 8564\n5502 6866\n7389 11220\n6422 11168\n1883 9299\n1182 9297\n6813 11172\n4203 8615\n5689 9232\n10027 12115\n4849 7140\n4190 11334\n2850 10408\n3251 7214\n1651 6570\n2075 8437\n7438 12063\n4847 5086\n6752 7845\n6255 9135\n7431 11003\n2741 5579\n7618 9478\n5255 5961\n3362 11048\n1696 5174\n2102 3987\n9688 12056\n5075 10646\n969 6568\n905 8304\n6857 7444\n5290 10703\n5726 6561\n2927 12106\n3905 11251\n259 3783\n4882 10733\n9315 11153\n507 3016\n2559 3738\n2372 12103\n9199 10878\n46 821\n3791 12035\n4218 8552\n5384 5901\n6333 8083\n5161 9753\n2664 7294\n1226 5338\n7986 11311\n1117 2349\n5933 8730\n2300 8079\n505 4586\n1032 2620\n2892 7234\n6624 6873\n8275 10044\n5373 8152\n3054 6085\n4944 9981\n3654 10884\n10283 10953\n6562 10355\n2008 2264\n9 2938\n5144 11829\n30 1118\n6517 7279\n3998 9465\n1021 11066\n2234 4825\n199 6097\n1718 10714\n3199 5297\n8227 10787\n847 5906\n3471 6102\n1687 7097\n4494 11525\n2138 9125\n8630 9210\n6856 8899\n10603 11201\n11694 12093\n3153 6695\n5776 11183\n2034 4835\n1172 5199\n5502 8226\n2435 3673\n1755 9380\n8730 10746\n1509 4133\n6814 8335\n6990 9658\n191 3834\n9412 11526\n1675 10432\n4537 11546\n1666 10702\n879 2670\n4047 4991\n4702 9081\n11 11242\n2351 2380\n9683 10069\n3612 7823\n979 9108\n5754 11824\n1350 3969\n88 9295\n1319 6596\n1242 6114\n2080 10274\n3031 5270\n1785 8759\n2723 5222\n2322 11992\n6656 10975\n9934 10708\n6806 9367\n6700 8982\n7278 7861\n7680 8654\n7073 11575\n4097 9123\n3355 11090\n140 5675\n661 10505\n7163 11344\n2966 6176\n2794 6944\n1795 5555\n1503 6815\n1030 7269\n904 7241\n108 9211\n568 7601\n6110 9590\n6467 9434\n4788 8704\n649 1430\n7615 10598\n4781 8382\n2990 3930\n11020 12143\n3590 4210\n4504 11139\n5751 11228\n2986 5208\n1567 7342\n5359 6924\n5143 11239\n1511 7191\n7992 8338\n1743 4201\n4402 7051\n230 11732\n5618 7469\n9156 9804\n281 4758\n2916 3742\n2437 8178\n4789 6601\n3416 4416\n473 7070\n2350 3653\n879 8787\n5060 6328\n7725 9055\n5141 9418\n5844 9445\n10173 11285\n3271 11457\n670 4778\n5739 6392\n8592 10253\n3912 9950\n11707 11788\n3507 9447\n318 3304\n1294 2291\n604 8379\n3684 10626\n3756 4154\n3845 9666\n4524 6684\n10454 10557\n6067 12068\n8971 11376\n36 8598\n5597 8419\n9744 10290\n459 4812\n880 9050\n7352 11702\n4096 7262\n5299 9880\n10784 11054\n721 12091\n5202 7500\n1433 6161\n10186 11480\n603 10564\n700 1317\n563 11195\n334 4734\n1482 7034\n4609 11511\n2082 11118\n7082 7880\n329 8755\n153 4780\n4180 11465\n681 7785\n3315 4375\n2063 8121\n4132 9270\n5755 10076\n1882 8827\n4320 7806\n4602 4722\n8215 8398\n2784 3387\n4006 6294\n9751 11714\n3934 10548\n6664 6809\n5519 9605\n6420 9271\n4351 11704\n3911 12021\n4375 6538\n462 4787\n4504 11050\n8615 11545\n5134 8617\n8374 9229\n1993 8443\n5879 11320\n2142 2584\n4747 9622\n8723 10219\n9943 10907\n1266 7115\n4620 8157\n3876 4269\n6582 8983\n296 9909\n3937 7534\n7436 10011\n6511 12114\n4027 9608\n516 11218\n6663 7705\n1093 4327\n463 5116\n718 9227\n2168 11427\n906 2121\n3021 8589\n5001 11727\n5720 6501\n299 7763\n8967 11609\n859 4771\n750 4587\n8136 10179\n691 8845\n7464 10685\n10945 11023\n2309 9455\n1310 2054\n4607 7076\n6721 11214\n2228 3472\n10825 11399\n2057 6979\n2848 7008\n6776 12043\n798 2727\n5477 6832\n8603 9011\n3206 5518\n1562 10198\n9399 9473\n445 2282\n3039 6343\n551 2987\n448 11660\n4350 9517\n5816 8284\n3550 5973\n4586 9931\n2811 10505\n661 7539\n4877 9294\n1166 4124\n5322 5869\n7044 9329\n672 11613\n8200 10448\n1740 8256\n2148 3282\n5169 5351\n1451 2589\n6759 8781\n2238 6482\n2782 5478\n10325 11461\n3815 10674\n2487 5179\n9433 11175\n5135 7728\n1046 4403\n3495 6789\n5469 6480\n2552 7762\n954 2030\n7907 9627\n3946 9470\n2266 3318\n421 11681\n4342 10606\n3808 7760\n2567 8711\n370 6125\n7852 9701\n2306 9943\n11865 12035\n7473 7972\n8503 11783\n3164 6995\n1961 8806\n7165 9511\n2672 9217\n884 2748\n1994 7406\n10692 11269\n7720 8234\n4016 6034\n465 10378\n434 6824\n13 4873\n7536 9637\n6503 7171\n3383 3844\n1960 6753\n6440 10954\n3908 8663\n7841 11773\n4735 10555\n2814 10934\n7954 12039\n2499 9981\n1353 2539\n1955 7764\n568 10648\n5035 5362\n3789 10407\n10424 10813\n11282 11777\n1858 3790\n6416 10026\n3204 8727\n964 5029\n84 2524\n1596 8640\n2913 10059\n5029 10202\n5360 10107\n771 11235\n4914 5100\n4470 11963\n7193 11071\n2038 8876\n2385 7209\n5251 8678\n343 11188\n4831 4859\n2111 8225\n4571 6688\n3864 5077\n1463 6136\n2730 8014\n1372 1778\n7128 7511\n7931 9624\n6817 8532\n3056 8847\n6512 10757\n1996 3583\n1091 1996\n5296 9969\n3694 9641\n5221 10068\n3545 8757\n6203 6561\n1316 1668\n6846 11685\n2187 2804\n2010 11788\n4692 8129\n5393 8267\n3129 9062\n1824 6125\n2396 11653\n2866 9022\n3024 11863\n6842 11399\n1904 2021\n2033 3273\n8162 11720\n1542 11899\n2571 9238\n4700 7365\n202 10935\n4522 5268\n2792 11708\n4463 7596\n10277 11155\n11279 11668\n693 11553\n3558 10433\n7056 7222\n10595 11621\n1112 5584\n6297 11772\n6508 7598\n4689 9061\n8744 9074\n3477 9501\n1294 10393\n4691 6947\n1332 7247\n10201 11831\n3276 7266\n5303 6485\n3179 10607\n3583 11589\n6179 6815\n10592 10740\n2332 9676\n6189 7083\n3157 5996\n521 5015\n2540 11441\n4181 11344\n1797 10395\n6576 7452\n5212 10498\n3903 12042\n6723 7151\n8972 12117\n6805 7648\n135 10333\n3938 9235\n3489 6386\n2122 6752\n525 10710\n6600 10918\n10466 11772\n7367 10023\n2886 3567\n7710 8861\n4832 10508\n2337 8989\n4278 8723\n1697 2079\n6509 8628\n6330 7302\n4916 6410\n7931 9074\n4826 8170\n1099 11514\n2002 11532\n5080 6220\n1883 4791\n1991 11267\n2511 11966\n8927 10556\n6115 11725\n2775 9638\n2930 3967\n11301 11406\n2747 3460\n3019 4344\n9887 10752\n1607 7604\n5540 10442\n7 5557\n6300 12022\n775 9791\n1822 5177\n4168 8887\n4093 10741\n3227 9002\n5279 11608\n8112 10383\n7611 8435\n283 11794\n546 8903\n3400 4308\n4087 7379\n6260 6786\n5623 11766\n2644 3526\n303 3121\n8536 10835\n2083 4239\n3873 12176\n4289 4553\n5514 11277\n7445 9608\n4517 10130\n6006 11100\n6535 12157\n9630 11412\n9003 9825\n28 10026\n2698 9763\n2071 10601\n1137 2084\n9747 11911\n585 4602\n9255 12179\n5227 8639\n2442 9965\n418 10290\n1418 6463\n3148 3898\n1998 2484\n2477 3820\n1970 2707\n1737 10464\n2953 8698\n828 2449\n655 3283\n6021 11639\n10081 10590\n2320 9521\n4019 4223\n686 7185\n7578 9003\n849 1391\n645 9896\n2715 3862\n6883 6999\n733 9600\n2167 9738\n1383 6040\n3558 8725\n11253 12167\n203 4747\n4360 7348\n3608 9683\n145 3995\n360 5550\n10188 12078\n5339 5572\n3612 6667\n660 7862\n1926 9203\n2635 5772\n2618 8812\n5696 6975\n757 11809\n3972 6444\n2743 5440\n10574 11826\n3321 5419\n1239 7661\n2068 6416\n10932 11331\n8534 11420\n2586 2730\n11481 11678\n5999 9440\n4953 6200\n3016 8006\n437 7163\n8845 10697\n2592 10682\n3784 9469\n2938 3217\n1893 4191\n3032 3973\n7002 11542\n7564 8532\n9310 10771\n6234 11465\n2049 2845\n9557 12007\n3240 8267\n1733 11805\n274 6002\n733 6490\n6224 7117\n3965 9344\n8588 11959\n524 10064\n868 10319\n10343 11695\n2122 6534\n8576 11722\n380 968\n3298 7953\n869 10187\n3281 4524\n98 7303\n4163 4397\n3624 6517\n10849 12134\n8132 11085\n2472 6250\n379 10261\n609 2878\n5524 8256\n1566 8837\n1748 2158\n5978 10920\n2482 9640\n8913 10065\n7854 11807\n2627 8501\n5593 6695\n11543 11829\n5746 7076\n8405 10772\n5931 8162\n3527 7755\n3816 5247\n2164 7216\n1774 6912\n2081 7688\n1207 6105\n6492 10798\n2396 4475\n3244 9939\n2238 4386\n3477 9125\n8826 9780\n1029 4362\n1371 12137\n5644 9487\n4080 11106\n7869 10951\n7965 12080\n10997 11864\n9223 10015\n6739 9811\n4496 8043\n1084 9082\n1865 6736\n5145 9358\n1141 10770\n6244 7316\n4219 7057\n2777 8887\n4590 11949\n3988 5566\n1487 8387\n851 5335\n9029 10341\n5105 9259\n2678 7555\n4629 10439\n3248 6909\n5246 7066\n1841 4811\n8084 11682\n3701 11505\n3281 5210\n37 7373\n36 1318\n1713 10444\n10468 11249\n6062 6976\n9828 11987\n3582 7060\n4336 8187\n3715 9484\n5099 5803\n1579 11047\n1583 9207\n7753 11841\n333 709\n1439 11012\n4491 10240\n1458 4981\n106 3852\n3422 9693\n6646 11085\n408 2363\n802 2727\n1598 2252\n3841 8492\n1885 11875\n2054 4161\n4497 5863\n6060 8485\n2287 3895\n463 4647\n6766 8237\n2602 7870\n880 4098\n6333 9751\n6869 7558\n6564 9920\n562 7378\n1437 11892\n3837 11392\n6615 9056\n154 935\n2426 11959\n1786 4360\n974 3777\n34 3101\n2086 4807\n3157 4902\n5653 6769\n4009 6100\n6940 10275\n1169 9288\n6513 8398\n10192 11295\n8339 8888\n4846 4991\n1380 1746\n5661 9693\n4459 7097\n4901 8530\n4169 7967\n2058 3167\n1191 6518\n8241 8577\n4122 4392\n123 2555\n1605 5106\n9098 9794\n3985 6254\n1784 5487\n5148 11122\n2969 4641\n2433 2662\n2297 5490\n175 11390\n2331 5780\n5029 7683\n8016 11635\n636 2591\n1058 8000\n1681 10537\n5136 8651\n355 11601\n557 7813\n4571 7249\n2566 10957\n7498 7555\n8210 8319\n3001 8630\n8792 9861\n8405 9680\n5077 9519\n3621 4777\n2162 10928\n2117 12112\n1108 1938\n3443 4799\n4018 8001\n5674 7139\n10526 10858\n5868 10193\n1786 10711\n4834 4914\n2160 4873\n731 7623\n306 5081\n1999 5891\n3933 11095\n5239 9823\n2595 5175\n5347 8978\n3606 3982\n11396 12171\n4806 7058\n972 9848\n4056 11802\n2032 4297\n3202 11272\n5418 6959\n8626 9136\n2173 8295\n9900 11061\n2581 5738\n11311 11379\n1993 7542\n285 8041\n2947 10183\n9985 10108\n1742 10693\n2609 9153\n2768 4182\n4990 7795\n2831 5476\n422 8762\n5957 11239\n3532 4866\n1559 6000\n9561 11347\n1163 6360\n956 11277\n3708 4925\n5585 7989\n3516 12107\n3345 4491\n407 2528\n8179 9978\n5965 9607\n1455 5121\n920 2878\n430 9310\n4333 9087\n1050 9528\n1511 11883\n2494 7662\n1008 3984\n1570 4052\n4532 5927\n6024 7660\n4647 10596\n4755 8784\n6681 11348\n3933 11087\n6904 11767\n2541 11849\n3828 9687\n3052 8342\n2907 7059\n3999 4002\n9018 9068\n3379 10371\n2059 6888\n7723 9636\n1566 11235\n2292 4753\n1778 11169\n2993 12194\n2300 8557\n3585 6996\n6877 9643\n4679 11646\n7130 11231\n3432 5331\n1477 6198\n6366 10241\n7804 9561\n2077 4978\n7459 7965\n1490 6353\n7220 9301\n2324 2691\n696 8312\n545 6021\n5259 9569\n1478 4987\n1745 10296\n3608 8505\n3122 11911\n5686 10983\n7116 10178\n3770 10503\n1467 5039\n9323 10217\n8495 11695\n3115 3756\n6634 8135\n10853 10952\n9950 11433\n2030 4945\n1092 9364\n6258 10117\n1184 10003\n11223 11372\n4984 9096\n2078 8326\n3324 11155\n3891 7935\n3452 10462\n1242 10964\n5238 12141\n1369 6839\n5993 7636\n144 7309\n8919 10927\n5632 8291\n7849 11491\n3062 11504\n1135 7998\n11516 11635\n3309 6271\n1662 1679\n3151 4658\n7282 9208\n1424 11424\n4160 5294\n7015 11060\n471 658\n1944 6653\n4953 6459\n4428 5530\n4471 7258\n7411 11193\n1168 9475\n541 11148\n2500 3574\n2876 8322\n4712 7023\n1941 6292\n1080 9730\n5062 10907\n10310 10999\n4405 4984\n5454 6028\n6280 12061\n5810 8910\n7241 10545\n4201 11179\n2198 9044\n1768 6546\n4650 10685\n6197 10988\n3071 12016\n2023 11060\n4735 6104\n6172 8542\n8679 10849\n4556 11932\n6521 7691\n2245 5059\n2762 3655\n9105 10440\n4509 7672\n4029 7980\n5044 7873\n9154 9916\n4365 5123\n849 1630\n1933 4370\n4648 8730\n975 4310\n6117 9132\n6236 11368\n1151 1403\n1501 9134\n823 12168\n1612 11472\n11268 11553\n4135 8682\n3009 5969\n1120 2053\n1006 9419\n4575 11051\n3448 8165\n4378 7760\n2168 8752\n1693 8211\n1125 8214\n6931 7460\n4163 5843\n1148 9306\n209 10051\n1743 6566\n144 10577\n3519 7168\n8275 10728\n1398 5421\n2858 6689\n8059 10103\n3492 9947\n5934 8772\n4722 8537\n2902 9414\n3790 10556\n5156 6499\n8513 11829\n2527 4910\n458 5729\n3708 10544\n7443 7525\n2194 10456\n8099 9839\n7665 10010\n4509 11714\n4937 5551\n1686 7238\n2904 8709\n10871 11048\n2995 5396\n7993 9608\n7352 11827\n990 2545\n820 9958\n678 11425\n1064 9681\n1704 7396\n8568 10171\n4429 10109\n2207 7426\n1750 6020\n4489 4760\n7428 7615\n357 8123\n6041 11828\n1390 4887\n7420 11405\n91 6240\n2996 8455\n2353 7508\n2713 3346\n172 11681\n5114 5941\n5731 10136\n1370 8212\n4736 6041\n256 6763\n3226 10902\n2229 11672\n2411 5097\n58 6676\n5341 6615\n4712 7295\n4519 10416\n5450 5466\n1683 11534\n608 3930\n5326 6484\n4386 4951\n2780 11931\n1478 4902\n8100 10932\n1941 3707\n7104 7646\n3462 6269\n5590 10115\n1575 11900\n7184 11877\n3881 9799\n9250 11376\n1717 7416\n3436 5117\n3228 9007\n610 6771\n1990 9704\n823 11111\n7974 9764\n4643 7035\n3836 10763\n6696 6912\n1139 6325\n4640 7271\n6073 9381\n3297 8308\n2578 6463\n8645 9837\n8057 8161\n2821 11322\n8327 11428\n4266 7816\n3512 5100\n9057 9913\n2979 7618\n425 5265\n817 8656\n264 3507\n3682 6226\n3869 6897\n515 7171\n7175 10335\n410 3203\n1184 7434\n3235 4316\n1731 11798\n3579 9670\n1896 3646\n5093 10953\n205 9180\n9117 10891\n1982 9964\n7034 8716\n11061 11715\n7953 7974\n8565 9193\n6683 8960\n602 3222\n3036 5286\n7523 12147\n3601 6904\n4730 7878\n1511 6923\n3649 8023\n1625 10220\n3258 3582\n358 1644\n923 10398\n5127 9817\n2509 6102\n9599 11178\n1149 8940\n5316 5578\n4339 7912\n1207 1550\n5941 6532\n1326 3524\n4440 5098\n5000 8831\n778 8001\n2071 8170\n7141 11581\n2503 8343\n5014 9327\n1618 4237\n878 3714\n5345 7102\n9228 11350\n7765 8812\n2385 9763\n1322 11034\n2240 8410\n2527 5269\n2144 2924\n5225 8909\n4306 11579\n297 12034\n8426 9902\n137 7995\n5954 12075\n4817 11985\n1299 8924\n6378 11581\n3645 6062\n8977 10012\n3823 5358\n8309 9284\n3469 8721\n7150 9787\n6406 8290\n5757 10031\n6778 7920\n3414 4797\n9699 11697\n2609 8285\n3642 5630\n8250 9846\n6863 9361\n6176 11859\n1092 1930\n2221 7343\n2533 4294\n415 8551\n2772 7642\n107 2178\n4886 6866\n5796 5991\n4249 9910\n7341 9619\n5533 10004\n3193 10996\n643 2520\n884 3583\n2219 12100\n2872 8104\n3508 9232\n1013 7197\n3851 5991\n1039 8428\n4362 6347\n6190 9713\n2111 6448\n8289 9875\n4421 5965\n1352 4518\n2832 5097\n6552 11852\n2583 9462\n1225 10847\n8312 9503\n3044 11701\n237 2662\n2179 5247\n4374 9235\n10523 11565\n7362 12094\n917 12113\n1710 12007\n2534 7626\n812 11336\n2136 3235\n7067 7356\n6604 6725\n5945 8359\n2764 5909\n715 3102\n8130 8427\n6767 11856\n1782 7716\n6608 11188\n1583 10341\n8472 8943\n5711 9702\n1976 7625\n4346 7092\n1281 5473\n2287 5491\n1571 8874\n2617 8091\n6120 8858\n5643 10533\n4848 9962\n3205 6935\n614 8053\n4243 4845\n2596 3594\n2846 10966\n5455 7989\n7548 8140\n5143 6042\n2477 12048\n5061 10676\n5053 11990\n5412 6892\n4630 7288\n3626 6477\n4060 5972\n1292 2859\n460 8557\n3609 6379\n4575 11731\n1197 11685\n3906 4566\n1649 2202\n4344 9877\n7578 7658\n1747 1921\n5686 11006\n3178 11191\n1223 7763\n8896 11870\n401 6207\n8878 10193\n1828 5702\n8210 10772\n4170 10783\n2804 4963\n235 5255\n9225 9886\n1964 8652\n4796 11953\n6864 12027\n1801 2477\n2644 5661\n1173 8765\n3008 11178\n10190 11168\n2164 8661\n925 1806\n4253 6663\n1082 10927\n414 8944\n2383 7732\n9065 10915\n3070 10398\n7240 11987\n8915 11313\n2861 10007\n3619 6191\n4782 7328\n4110 4293\n9285 9310\n947 9750\n7604 10363\n212 9616\n3509 10260\n4119 11915\n6179 12018\n2649 10502\n6101 8507\n3081 11044\n5883 11878\n10952 11586\n8673 11633\n10039 11979\n8208 9015\n4660 6739\n7692 10048\n3878 9430\n4006 7617\n10112 11198\n1852 11035\n797 7191\n376 379\n7948 11993\n2286 4903\n6125 6407\n4371 11664\n1587 8312\n1955 9994\n3116 8135\n1518 9538\n1436 8857\n7064 9677\n6562 9910\n5080 8932\n7136 10223\n8664 11315\n8148 11641\n8266 10874\n6886 8533\n2208 5955\n3391 10577\n2590 7627\n3621 11594\n6605 8306\n1880 7734\n4584 10689\n1657 9113\n7202 9664\n6834 7478\n2004 2988\n2318 9041\n6538 6607\n2817 9995\n87 6577\n4740 6500\n340 9935\n5752 8455\n7322 8390\n229 3827\n2193 3177\n2913 12175\n3026 4644\n1571 4898\n7730 9489\n1960 10342\n2031 6917\n2918 8450\n178 8249\n4716 5772\n610 1920\n7730 10186\n3808 8297\n7020 10036\n1063 8638\n6979 8409\n9491 10229\n2568 3429\n1670 5844\n4203 10121\n2794 3562\n7102 10700\n6422 10604\n1337 9071\n3834 9905\n4192 9093\n8787 10426\n5572 6069\n15 5653\n1348 6503\n203 1499\n332 4691\n789 2651\n11537 11702\n1309 11828\n9970 11741\n3742 9628\n387 11801\n692 2087\n3219 6696\n568 10212\n1257 10970\n2399 10434\n8466 10334\n3388 10770\n6551 10929\n225 346\n2147 7266\n2142 6916\n5760 9627\n6412 11558\n5394 7679\n5964 9091\n592 10024\n2200 10547\n4270 9666\n870 11846\n4735 5185\n6105 10611\n680 9283\n5091 11964\n10322 12141\n1921 5876\n1937 8531\n4009 11018\n1178 4133\n3262 12066\n2690 11680\n516 4419\n1319 3619\n865 1490\n1505 6988\n6331 7933\n5400 8264\n9131 10886\n5736 9697\n9530 10792\n3686 9464\n6482 11239\n3449 7695\n9214 10400\n7833 11298\n2503 11911\n4063 10548\n1802 2858\n6230 10540\n773 8065\n281 1915\n618 1768\n331 7027\n830 2400\n5739 7102\n3428 11697\n809 7797\n2493 11998\n7953 11528\n670 12012\n7150 7537\n3596 8719\n5977 6764\n3467 5448\n7414 10307\n9903 11596\n2540 9686\n2586 3679\n4909 9575\n6886 10425\n8905 10766\n370 899\n1492 7558\n1322 1479\n1811 1922\n6626 6891\n5225 6159\n1387 7326\n4701 10940\n342 10916\n6316 10725\n2077 8864\n7887 11658\n2473 10275\n3880 6479\n8158 10101\n5585 5670\n9463 9677\n3893 4073\n2600 9825\n2015 7339\n8695 11679\n3575 7352\n5331 9588\n4917 5854\n5449 10526\n4662 5465\n4069 7853\n2844 12122\n2559 9938\n967 2039\n4254 11904\n1154 7171\n3831 3874\n1232 6614\n3959 4010\n4879 4948\n5279 10862\n3742 8465\n3316 7604\n8011 11388\n2348 10257\n2121 8517\n1433 8274\n1725 6327\n5099 8078\n153 749\n199 6014\n907 12008\n3650 10553\n1773 2556\n7071 8926\n5838 10463\n8322 12169\n5195 11190\n2891 3029\n4351 10911\n8822 10994\n4643 9941\n4575 5815\n905 10479\n1146 5298\n3553 5399\n3181 9836\n4491 7825\n776 2290\n6977 11851\n1793 9911\n99 8796\n7848 12049\n1074 4487\n2840 7018\n2110 8445\n4006 9305\n4786 9923\n2098 2718\n3747 8708\n2508 4525\n1268 10538\n4070 5974\n2422 2918\n3825 5171\n3171 8277\n5061 6388\n4664 8933\n4343 11868\n3937 9247\n2022 7801\n2462 2896\n1711 8485\n5305 9591\n4520 7564\n6383 12187\n9564 10678\n4769 11231\n10338 10884\n5021 9538\n7321 7378\n7774 7836\n7901 9624\n4503 6778\n189 10536\n5818 6535\n6161 6598\n4461 9294\n8069 11622\n1266 10147\n3714 10673\n3254 9031\n598 3568\n889 2817\n3124 4128\n5971 9660\n602 11641\n7797 10305\n2575 9124\n4724 6958\n369 5449\n5529 10491\n7729 10102\n6523 7729\n8093 9950\n4998 7274\n4788 6865\n7873 9490\n7082 11381\n7218 12004\n3401 7347\n2802 6467\n9464 9489\n5069 9589\n9074 10520\n7622 9186\n72 1243\n3974 7843\n8677 11319\n9188 11449\n8913 10803\n7154 10459\n253 9926\n5303 12186\n10180 10216\n10186 11713\n6072 11876\n2541 4485\n4734 5419\n2704 6912\n2146 7609\n9743 9763\n1932 4307\n3855 4729\n1926 2286\n4748 8635\n2743 4466\n3511 10748\n5807 7651\n3665 8970\n3432 11465\n1880 10315\n1120 9326\n1731 8774\n1241 6389\n5429 6942\n2531 4467\n4506 6019\n455 10296\n1924 3829\n1547 7625\n2844 5331\n716 5142\n470 8879\n6307 12088\n4888 11310\n9729 12139\n3979 8784\n1637 7681\n304 331\n1107 6069\n2297 8844\n1936 10737\n7442 9196\n1395 10464\n8948 11253\n2701 3300\n4048 6543\n4742 5752\n2401 7338\n6668 11338\n5091 6624\n11686 12006\n4137 4452\n592 8154\n2614 10989\n5419 8693\n1034 8120\n9247 11031\n5069 7835\n2440 2594\n737 4240\n7769 12009\n5190 6376\n534 2833\n6282 10187\n4627 10541\n6676 10076\n5075 8262\n6881 9249\n6184 8583\n4732 5603\n5234 8813\n4039 8960\n3259 3430\n3397 11094\n4737 10339\n2065 5443\n5541 9981\n3657 9431\n1039 2715\n7550 10830\n91 8294\n6672 8632\n5625 6610\n1885 3719\n1021 9836\n158 4723\n3250 4041\n4806 5388\n6763 11341\n4895 9110\n432 1691\n286 6276\n2319 2910\n6978 11986\n8771 8918\n1958 2016\n9094 9484\n1679 9945\n7881 10477\n4458 5440\n5404 9346\n1430 8772\n3605 6073\n10536 10932\n325 1222\n2877 9437\n1274 5574\n2865 5249\n6954 10947\n3751 9560\n3672 5831\n2956 4385\n5954 7322\n6758 7775\n1770 11337\n2989 7873\n3963 11195\n10386 10992\n5650 7966\n4561 5610\n10345 11451\n5945 6026\n6503 8767\n7464 11704\n7371 9664\n6311 9638\n3657 9568\n372 8963\n2630 3392\n5945 11034\n4484 6082\n2244 4477\n7621 11505\n2232 8212\n4560 7361\n11272 11846\n8560 9025\n5214 8646\n8257 10882\n3724 11549\n854 6009\n1804 3103\n5857 8985\n3246 11792\n3015 10644\n1761 11139\n539 5840\n7474 9589\n5841 8848\n3669 5345\n6121 10019\n5285 8627\n94 6363\n3739 8672\n8921 11606\n4363 7378\n6948 9349\n382 7972\n4256 10362\n5232 10444\n2479 11557\n3686 10722\n3239 11993\n5473 6416\n6129 7539\n6528 11179\n6434 11382\n2754 5057\n2488 11481\n482 2473\n3909 4164\n1331 12035\n5159 5165\n5089 10435\n5958 10703\n4696 8057\n4393 12169\n7471 9331\n9336 9805\n11035 11946\n693 3399\n6485 8520\n5466 10701\n2316 9835\n2552 5265\n4387 5692\n6252 9403\n4876 7196\n4531 5894\n3153 5564\n2322 11064\n2063 6263\n5104 7209\n6532 7427\n4941 8032\n4212 8582\n1521 8461\n785 9077\n1964 2741\n1832 1992\n3941 9066\n127 9926\n8478 9899\n96 10154\n4087 6397\n3072 7571\n4401 8369\n10924 11887\n4795 7351\n3770 4229\n2969 7491\n1635 2106\n7972 9200\n4700 8591\n744 8918\n10299 11873\n5435 11805\n8785 9038\n1279 4457\n10859 11204\n10606 10978\n2653 2823\n5240 7323\n3372 10308\n2683 6472\n7117 11320\n6525 10395\n6536 8685\n6924 10062\n2536 5375\n2035 11227\n553 6881\n1284 4002\n10435 10559\n2312 3861\n6414 8818\n10205 11165\n5931 7557\n6709 6765\n8335 9837\n6956 7158\n3155 3297\n9946 10962\n5018 5225\n3235 3986\n8244 8247\n5034 11501\n8820 11797\n665 5917\n4051 7998\n1330 10537\n5808 7079\n3642 9948\n8617 11178\n10380 11035\n582 5751\n1892 3812\n1947 7856\n8104 9659\n3936 8111\n2979 11396\n676 4161\n10943 12118\n2722 7839\n354 3798\n24 1358\n1379 8096\n6189 7637\n8270 10266\n2953 4258\n2028 8842\n2678 8173\n4539 11676\n935 8493\n2745 11730\n4176 7264\n4851 8322\n5213 9113\n5462 10794\n1035 8239\n8845 10237\n5598 12074\n6841 8301\n5406 9201\n3018 4268\n3082 9508\n7065 9226\n3189 3621\n1874 11779\n4563 5093\n7925 9778\n6540 11331\n5451 9222\n1043 8128\n7332 7563\n2677 4538\n1197 8884\n368 5713\n5013 5674\n8230 10181\n30 10736\n1709 11487\n4841 8015\n2700 6339\n3978 7632\n7014 8023\n3439 7481\n3665 6222\n9442 10448\n647 5727\n10 6913\n6690 10559\n2877 3620\n726 9053\n3969 4655\n9776 9820\n1662 2753\n10821 12053\n3359 7871\n4042 10569\n301 10653\n2471 9884\n6062 6977\n216 554\n1802 5831\n11327 12189\n316 9832\n2360 3919\n1645 7136\n9161 10355\n4858 10905\n3130 3932\n502 4701\n1912 6738\n4895 12182\n3809 10967\n818 10004\n1529 9128\n3049 6787\n4 1391\n4119 9328\n1355 9226\n1101 10025\n1890 4183\n2011 11282\n3000 10081\n6643 6817\n4767 9183\n1189 7192\n4349 10464\n7394 10224\n5460 10139\n2085 10421\n4370 5211\n814 9247\n1436 1507\n802 4725\n2614 6711\n1698 3513\n7490 9718\n214 1226\n3196 11834\n6039 9060\n47 6630\n10526 11340\n1385 1813\n708 7474\n220 6775\n1926 2093\n1041 4378\n3804 4887\n651 4414\n3555 8421\n6265 9012\n1802 8388\n3452 7810\n287 1543\n5192 11824\n1370 7376\n5831 10210\n2427 5375\n2774 3608\n2851 6237\n5977 9393\n8964 11567\n1109 5929\n3225 10885\n274 8668\n3411 4869\n2066 9252\n2477 11664\n4243 8896\n4501 11221\n414 5551\n8196 8694\n2573 3244\n2102 10014\n1406 3799\n3461 6542\n2004 6561\n785 1513\n941 11010\n6614 7150\n4212 10133\n1879 7416\n1511 11881\n6286 8008\n7186 7471\n8258 8354\n1140 1498\n5522 7839\n1031 3880\n2659 6622\n4000 10799\n3040 7001\n8534 11805\n8763 10740\n9606 11470\n1840 3774\n1866 4157\n1197 4971\n3496 8571\n4857 9240\n2744 2808\n315 2710\n985 6078\n8673 12119\n8731 10018\n704 1615\n3280 3488\n3804 9334\n6591 7738\n4277 6993\n5273 7126\n7061 8637\n5209 11251\n4759 8454\n1413 10540\n1046 1089\n2500 7672\n6287 12077\n5500 11643\n1159 10082\n1109 4286\n3080 9476\n9063 9759\n3314 10117\n2305 5084\n1984 4875\n3516 10622\n7752 9681\n3480 6781\n737 7833\n5271 6857\n989 2991\n2899 8941\n1415 1474\n10487 11369\n6098 11214\n3565 9579\n9131 10320\n530 3234\n2635 7991\n8041 8192\n7822 8511\n8198 9325\n1136 2095\n3418 4309\n4542 4606\n5327 11944\n2411 4666\n664 7659\n1937 4847\n7628 10336\n2052 12023\n3237 9208\n3562 5313\n2877 10040\n5155 8397\n9653 10092\n1135 10534\n11795 11894\n2582 4886\n3375 7046\n3163 9231\n4406 11274\n2207 3715\n2021 2471\n7482 11738\n1969 8555\n905 2273\n6754 8208\n2234 9311\n5396 7149\n2392 5655\n1132 6066\n4100 7124\n359 7570\n697 2629\n5850 6329\n5795 10285\n5973 8992\n5313 6518\n5936 11831\n4051 8822\n8958 11931\n5376 9371\n78 4933\n1562 9552\n4339 8400\n3700 3886\n2300 11149\n3460 7613\n512 668\n2295 4956\n3447 11587\n10274 11877\n5487 8913\n666 4212\n7665 8072\n8637 11367\n1912 1929\n2772 3590\n2566 8970\n4381 5040\n1537 4897\n1152 6071\n8721 9520\n206 1124\n4451 8113\n1480 11640\n7140 12070\n6028 7626\n5917 6485\n1073 6791\n9453 10330\n4114 5430\n4194 9737\n4878 7302\n6578 10031\n3414 8376\n7235 11030\n2615 6859\n3674 3989\n160 8697\n1815 11810\n4932 6166\n2991 5948\n8142 9016\n6848 7150\n5619 7427\n3720 11832\n6796 10487\n7778 8150\n6077 7594\n2822 7356\n686 6384\n629 8184\n1749 10709\n7503 9424\n6640 10077\n8584 10711\n2088 3951\n1823 3320\n2811 9282\n6402 9765\n2620 4126\n5402 10412\n5888 8056\n7629 10388\n5905 9607\n9536 11936\n4097 8086\n603 7662\n4159 5778\n7605 9932\n2873 6026\n514 4060\n8266 9839\n2694 8173\n7382 7616\n669 2098\n841 2667\n7377 8136\n10 6593\n8104 9006\n9128 12016\n6199 10707\n7620 11115\n7080 10954\n740 4219\n282 3969\n1348 3415\n7729 9226\n4025 8172\n5677 8696\n6289 7295\n6523 10568\n7275 8399\n9142 10836\n2238 10509\n46 823\n2150 7627\n4246 11088\n4843 11617\n5125 7749\n1839 10164\n4430 11438\n3463 9042\n4643 12101\n4480 8098\n3037 5827\n2837 4978\n3940 6635\n2953 6929\n2535 7088\n2557 9497\n2445 7859\n386 7885\n3906 9921\n1451 10734\n2176 11573\n7843 10061\n4744 6700\n2413 3337\n5248 9062\n5678 6505\n7180 10881\n6691 7735\n2575 3826\n4426 8603\n4720 7349\n5199 8951\n1017 3605\n6662 9252\n11622 12121\n2276 5230\n1479 1509\n1557 2188\n5389 8861\n473 10565\n6505 9514\n2396 10870\n2050 3237\n10435 11300\n3643 6866\n1885 7552\n4038 11564\n2369 6438\n4925 8341\n4309 6755\n2951 3706\n2209 11127\n8900 9766\n9311 11141\n8176 11919\n1198 3756\n1967 11328\n9382 11245\n1722 10740\n4574 8106\n3977 4418\n2035 6205\n6640 9029\n5430 7635\n5283 7512\n2609 7984\n7016 10594\n5970 7019\n2366 7705\n959 5463\n4510 8625\n1838 2876\n2246 2970\n2091 8483\n3154 8515\n956 1780\n3370 11705\n3479 6259\n4933 11850\n2155 8120\n7617 8985\n5337 8756\n2939 7474\n2472 6011\n2890 9413\n4314 5735\n3132 7392\n266 3814\n2495 6764\n1761 3901\n6802 10026\n6474 11981\n5630 10824\n4273 8114\n2138 11675\n10061 10505\n2401 3781\n260 10136\n200 2036\n1949 2619\n535 6395\n4002 10734\n4341 8736\n2509 3388\n6063 10388\n5593 5619\n362 3435\n2568 7987\n8757 10558\n3126 6465\n9886 10780\n676 4070\n276 2388\n2562 11134\n5765 9879\n3526 7412\n2124 3336\n9997 11101\n3484 7466\n1341 2696\n917 8855\n5089 5765\n9466 9616\n1678 6910\n5261 6443\n8330 10352\n9237 11187\n8185 9223\n4272 10706\n2371 10974\n8509 9458\n585 11420\n335 1866\n2130 3447\n2592 4881\n1185 6027\n3946 8613\n5120 10783\n377 1008\n1312 9504\n3973 11893\n3090 6212\n63 10138\n7103 10042\n6143 11808\n760 1939\n7208 8298\n1638 5022\n2486 9867\n1441 1499\n4267 10682\n6259 7439\n7538 8281\n5138 6042\n10043 10183\n85 8910\n4725 7714\n354 4612\n2086 6078\n10446 10844\n496 3126\n426 8176\n2652 3142\n4438 12004\n797 3317\n3171 5508\n5628 10886\n1940 10511\n1258 10319\n10688 10737\n2088 3059\n4476 9389\n6730 9468\n661 12191\n9758 11970\n5977 7260\n3521 7434\n4846 9649\n7221 7400\n1731 11955\n884 6482\n5296 8002\n5570 7030\n1946 9367\n3987 4815\n2686 10282\n978 2676\n755 5249\n4108 7079\n2578 9731\n1063 9050\n6442 9063\n4568 6252\n40 3212\n6103 11568\n10536 11978\n10688 11367\n7523 9634\n4984 10601\n4161 5451\n4683 6072\n9115 11473\n2305 7089\n368 4274\n105 3533\n7707 11291\n8723 10029\n8900 9036\n320 12062\n4005 7112\n5240 10891\n910 4505\n527 9141\n2641 9329\n2231 5185\n8272 8670\n1480 4918\n5146 5555\n944 5415\n4746 10578\n10708 10912\n4100 10254\n8108 11566\n2448 3418\n2180 6859\n3128 6636\n1918 2138\n196 10372\n4440 6303\n3365 6255\n3364 5884\n689 1839\n3720 5086\n1256 9656\n5806 10427\n4536 10639\n5245 9694\n3436 6566\n6010 8879\n5137 11423\n6927 9471\n2008 3265\n1926 10667\n8215 11520\n5902 9576\n5752 7239\n6136 9108\n7719 10527\n311 3678\n2659 11682\n7558 11323\n5577 9589\n3428 11402\n2032 10053\n112 11576\n2170 2723\n4822 12011\n5571 7327\n10644 11281\n10539 10777\n9797 9926\n6738 7710\n992 8471\n4567 7694\n9935 10110\n8540 10731\n8488 10026\n3167 9044\n983 11186\n127 7066\n2889 3927\n6072 9307\n2366 5971\n7675 10138\n6945 10247\n3336 6732\n849 7166\n238 3538\n3667 7728\n338 2619\n6812 8928\n7900 12062\n467 2790\n3688 3706\n1646 4032\n6209 11387\n4885 7089\n1545 6673\n4060 8593\n5014 8267\n4386 7474\n7554 9878\n1970 4131\n386 7939\n5653 10225\n3358 9700\n6137 7357\n6828 11691\n4741 5231\n4873 10830\n6102 9863\n3461 7941\n882 8744\n1568 6312\n4908 11683\n1389 3989\n8339 8972\n4635 7331\n116 10667\n3057 11960\n95 1220\n278 9010\n2634 7542\n7865 11628\n6774 10476\n10505 10911\n10199 11212\n10146 10854\n3402 11544\n3229 9286\n5028 6639\n10320 11493\n2048 9386\n7219 10904\n5921 7243\n1902 9802\n4052 6077\n6783 7097\n4315 10215\n5160 6882\n1226 2230\n1690 6688\n665 11877\n1086 4193\n402 794\n8059 9249\n8469 8956\n1499 9540\n917 3227\n1508 7053\n4210 9390\n6854 7436\n9082 11830\n4901 7382\n5983 7869\n1965 7830\n3494 8675\n137 4416\n1294 8959\n10209 10642\n312 4827\n1111 3820\n7968 10552\n4630 6887\n1419 2614\n155 1514\n7653 8811\n135 8737\n508 3863\n5758 8734\n1821 5577\n6784 8724\n7357 9535\n1224 1784\n5291 11957\n7018 8052\n2454 8159\n2137 11669\n624 11017\n264 4222\n6592 11444\n3870 7680\n2349 10065\n4584 11049\n3479 8456\n8978 10563\n3471 12115\n10229 11935\n6098 10719\n6026 11956\n2439 4179\n10865 11238\n5163 10880\n2220 11149\n10214 10367\n6086 8598\n7588 11564\n2937 6281\n9199 12092\n2378 10849\n4165 5127\n1309 9628\n3604 11928\n8962 9988\n4323 9322\n5896 8345\n102 873\n1353 3370\n8105 9283\n3546 6105\n9197 11150\n247 1553\n5240 5681\n3502 5622\n1901 11086\n4893 10440\n7044 9015\n5977 11319\n2293 4246\n4516 8276\n720 7904\n3425 12013\n2798 6802\n2639 9200\n3777 10829\n6557 8908\n4656 7424\n2172 9843\n4980 6725\n9767 10230\n4495 10672\n1461 5756\n8063 9151\n4911 5863\n8518 11751\n520 5054\n11666 11712\n2133 2778\n8840 10745\n11163 11884\n7733 8338\n1539 10560\n777 11278\n3414 4911\n5475 6120\n687 5741\n6213 11579\n46 10760\n503 6297\n2268 9940\n5139 8681\n3292 10936\n8556 12024\n33 5012\n5934 11444\n7828 11666\n2635 6934\n2549 8186\n1561 7148\n5533 7133\n9982 12157\n1474 8706\n5844 6204\n1617 11477\n604 7818\n7946 9289\n2881 3109\n7359 10951\n382 7421\n1800 7013\n140 6105\n3598 4828\n2745 5129\n2128 4920\n1454 1825\n995 5056\n7406 7546\n4067 7697\n6996 9416\n7773 8568\n6946 8252\n1850 5215\n1620 10265\n10339 10654\n10308 11056\n2295 6832\n5550 7588\n10705 10889\n6177 10435\n2642 9463\n239 3327\n1084 6641\n2852 8331\n1940 8377\n5713 10725\n341 7452\n4329 6684\n2038 9986\n10188 10882\n3151 3240\n2316 6838\n2636 3162\n4640 5064\n7692 8784\n1199 4883\n231 10082\n10685 11358\n3432 9165\n713 9519\n9076 11278\n5573 8887\n907 6229\n1701 4391\n2329 4299\n5687 10870\n7983 11448\n8887 9138\n4772 8199\n3302 11311\n4771 7643\n5211 8888\n3712 5265\n625 1151\n7831 11415\n231 4322\n5125 8137\n10935 12123\n6962 11416\n8902 10927\n7970 10855\n8344 11539\n9161 10150\n4274 8865\n8145 11717\n140 6981\n1481 7060\n1569 9392\n4613 8859\n5936 6436\n4585 10777\n6771 10843\n4004 7067\n10192 11431\n4284 9434\n8409 12080\n130 3851\n1263 4056\n198 9311\n610 11045\n6573 7705\n5100 7748\n1741 3264\n1363 2640\n7263 8867\n7829 10016\n3452 5368\n4259 6155\n5247 9204\n5552 9461\n5877 8471\n3929 5411\n5726 10028\n1931 5887\n5877 10368\n7752 9641\n1707 7184\n4975 6732\n6963 8378\n6305 6728\n5037 8446\n5742 9659\n810 5744\n7207 9398\n5148 8087\n1632 12117\n2987 6758\n475 1111\n6834 10217\n3529 6004\n5303 11689\n3431 4920\n4228 12025\n1280 10965\n2582 3933\n3467 9219\n5825 6863\n1823 5357\n2465 11744\n200 4518\n8367 8669\n7360 11862\n5040 9868\n3126 10183\n9897 10812\n433 1669\n3667 11282\n2708 10303\n5188 9352\n3433 10805\n586 3744\n8549 10790\n972 5705\n7527 10409\n4760 7201\n1044 9276\n6490 9526\n1012 7824\n6652 6741\n2608 8378\n8173 11445\n9758 9984\n5345 9457\n4227 7507\n56 6375\n552 1066\n1107 7429\n4440 5563\n300 3155\n2897 3477\n8160 11818\n9130 11040\n4991 10761\n8504 10581\n2054 6892\n1396 9806\n6198 9528\n5680 10214\n8194 10089\n8248 9082\n2518 5428\n85 1710\n6094 9368\n4708 10355\n1957 2800\n2239 10079\n7339 11589\n2498 8053\n1230 4158\n7174 9259\n8054 11526\n1738 2832\n3078 9307\n2353 11546\n2624 5588\n7481 10145\n2238 2277\n1692 7145\n8937 10812\n511 11451\n1509 9596\n8323 9121\n3511 3618\n388 9305\n6914 8221\n2361 4945\n1297 8945\n285 9817\n8707 10633\n3847 4536\n4024 7101\n1720 2312\n756 9509\n195 3705\n4995 6233\n8977 9066\n649 2907\n4618 5144\n3808 5553\n9999 10080\n4126 7056\n507 2541\n5906 11647\n3989 5050\n811 6370\n2886 3628\n596 11065\n5457 8290\n7042 8947\n1273 11050\n3511 7965\n3727 6403\n2859 5449\n11073 11177\n911 11928\n2018 4784\n4014 8213\n1559 11476\n1540 4045\n6271 9469\n1275 11309\n8453 8555\n2143 2417\n2073 11221\n2344 11150\n6683 11377\n3870 9032\n3160 3211\n2320 3028\n9918 11739\n5878 7527\n36 5301\n1149 4217\n513 886\n7549 8094\n1897 7472\n3794 6769\n879 9996\n1367 10675\n4736 6652\n2290 2308\n2847 9736\n9570 11984\n4773 5858\n9199 10515\n501 996\n1380 7660\n1452 6394\n8843 10520\n3119 5746\n8375 11090\n4507 9704\n7535 9984\n3172 10744\n9282 11653\n9149 10883\n2654 2973\n3645 7708\n4604 5058\n4170 11006\n5359 8504\n1674 11544\n7169 8251\n3182 5962\n6726 11401\n2927 2966\n443 4524\n683 3502\n9867 11947\n1201 10522\n6020 6187\n2199 10287\n2242 10183\n3117 4606\n3106 7589\n3687 9584\n8288 11030\n922 5979\n3119 6830\n2620 6238\n2232 4470\n2372 10813\n3715 11533\n7218 7932\n2855 10179\n997 8503\n5669 6498\n5656 8916\n3617 11801\n2397 7668\n3525 8331\n1873 5067\n8537 8564\n2520 4006\n1362 12147\n2015 10019\n7775 11970\n2675 4025\n4561 8919\n136 793\n5148 11338\n377 6281\n1440 9585\n5846 11064\n5687 6377\n11837 12145\n1984 10305\n2425 3803\n2261 4994\n9291 11320\n316 11329\n553 11633\n2877 5096\n7603 11367\n6877 11633\n3166 9970\n4023 6529\n429 9393\n2392 8144\n1712 5176\n5000 10691\n1392 5415\n905 8543\n5834 8275\n2018 8074\n8602 10462\n5534 8774\n1666 10313\n2787 2856\n3201 7020\n705 9576\n121 2465\n3463 5889\n1205 3423\n1092 11267\n10418 11107\n10160 10672\n2382 6302\n4649 11222\n1378 11102\n1313 6605\n60 2925\n255 6021\n742 983\n1872 9133\n6170 10933\n1400 8596\n7641 9636\n7572 10075\n721 1013\n1580 5854\n1071 4965\n5118 11182\n1997 6916\n5111 11954\n2942 4234\n5042 10679\n3458 8560\n1686 5470\n1873 10685\n2983 7953\n681 7984\n4396 11637\n2452 7060\n8477 10011\n922 9656\n2482 5251\n4187 8756\n4545 11467\n5363 11492\n5119 8134\n8545 12084\n3895 9547\n5799 11696\n9269 11544\n812 11310\n6909 11587\n8391 9830\n1240 4102\n322 10179\n9703 11589\n9405 12081\n1130 10441\n6412 9810\n2851 5871\n506 895\n2617 11865\n5144 5877\n6446 7329\n3127 3903\n1832 2327\n8911 11098\n3039 4519\n2095 7835\n1781 8772\n876 10691\n1658 3833\n2101 5091\n4087 5137\n2168 6525\n4995 6402\n864 8108\n5235 11471\n4372 11997\n5145 10044\n2150 7373\n23 1075\n4530 8101\n2083 3810\n3321 7152\n8193 12057\n8767 9908\n6697 7472\n8814 10744\n2058 8079\n4425 5350\n1441 4895\n172 8605\n3899 8862\n3207 6382\n4608 8897\n10304 11546\n7467 11027\n8606 8710\n6078 6391\n11769 12117\n6473 9526\n1214 8745\n7411 7449\n3517 4043\n7376 10531\n1625 1705\n5567 9068\n2754 10813\n6038 7690\n8747 9596\n7902 8742\n7975 10245\n2710 10546\n5813 8871\n4891 12172\n2786 8982\n853 1650\n7331 7580\n3345 11178\n999 9926\n126 843\n9742 11214\n5753 10440\n1682 10473\n1513 3920\n4086 7900\n2336 3987\n261 10131\n4059 8087\n145 1320\n3121 4206\n10123 11199\n6461 8521\n1657 7744\n421 4977\n5143 8752\n3520 11781\n4490 10123\n1544 1868\n724 1821\n2623 3090\n5611 10909\n4469 7883\n4318 10424\n725 11898\n485 5729\n3095 11950\n984 7613\n366 11031\n6798 7090\n4213 10235\n949 1377\n3820 7490\n4647 5971\n2934 11456\n1980 4521\n108 7679\n8148 9008\n6996 11398\n9374 10546\n583 8601\n1562 10559\n3172 9326\n28 101\n9685 10645\n3601 7810\n218 7944\n3361 5660\n5666 8853\n4128 11723\n2266 9436\n5065 7422\n3123 8018\n1480 1654\n7150 7634\n11135 11798\n2402 7864\n422 5132\n9398 9666\n3589 11275\n9861 11605\n6489 8069\n762 12179\n11 1222\n1486 2346\n9773 9806\n146 11668\n1168 2310\n5134 6174\n6474 11508\n2934 7272\n6494 10026\n2350 4222\n9257 10697\n9072 9589\n5180 6098\n7117 8325\n681 5582\n1739 10622\n2885 11346\n10274 11385\n10792 11396\n8550 9959\n6142 7044\n207 7257\n2345 5720\n2901 3585\n3780 11002\n6856 10889\n333 8339\n7649 10803\n6847 7521\n1049 3398\n1035 11072\n8408 12015\n4434 4639\n1230 5724\n6314 8643\n3611 5473\n5561 6212\n274 5558\n4832 6605\n2717 3057\n1594 8601\n2056 9253\n5819 11699\n3308 7681\n2790 11500\n5040 8238\n1574 10570\n4048 11370\n1060 12184\n5129 7665\n2421 3858\n5282 5991\n7506 11166\n7717 10893\n126 8144\n5529 9812\n2460 6010\n7066 9165\n8502 9552\n3709 11572\n6208 9905\n1884 10737\n4230 11701\n2631 4764\n2111 6105\n3857 9792\n67 2953\n6866 11956\n3243 9171\n336 11733\n4332 8141\n3320 9519\n2732 5225\n5385 8181\n1492 9120\n3082 4971\n3803 8926\n5967 8576\n7130 11055\n851 8330\n6856 7763\n5547 5875\n2743 4613\n3518 10372\n8203 11642\n11579 11733\n4806 8502\n6954 11909\n246 1993\n833 11379\n1982 4150\n8226 10963\n3643 7023\n4467 11070\n2456 4896\n7413 9718\n1006 9384\n2823 6837\n2435 11160\n6164 7242\n4780 7081\n4544 11634\n9529 9728\n4163 11505\n161 3943\n1879 4229\n1617 4560\n5439 5715\n11148 11958\n6617 7245\n3969 6793\n2126 7693\n9234 10108\n2248 3565\n30 1106\n3497 7671\n926 4993\n10467 11292\n2716 6277\n1622 10870\n1532 11748\n10220 11932\n4360 9495\n6402 7997\n3267 9947\n1944 11395\n2582 9186\n5946 11888\n4337 7497\n2202 11439\n647 12059\n5218 9698\n10225 11312\n4805 10208\n5332 7445\n3241 11435\n2018 5693\n741 8222\n7670 11309\n6036 7723\n2218 4258\n870 7111\n2077 10387\n3563 11089\n4011 6246\n1543 10664\n3440 6291\n3320 8635\n3259 7635\n10323 10691\n3581 12033\n3202 12082\n1122 4039\n673 3698\n1277 10858\n1589 10725\n8440 10892\n4076 7214\n3597 11911\n7692 10194\n5815 10075\n3145 7762\n3648 6861\n6244 9981\n3518 4612\n496 12155\n6681 11889\n4865 7684\n3303 4488\n9940 10161\n4706 5147\n1364 6556\n832 4076\n5951 11988\n6736 8266\n2925 5346\n6998 7207\n2355 8274\n5437 6681\n1054 7819\n2638 11078\n4548 8625\n902 8072\n4645 8888\n6590 11173\n4115 7534\n6896 8349\n3304 4110\n1267 5538\n2896 4629\n959 1257\n3515 4471\n6734 9347\n7252 7789\n249 2717\n493 1960\n6484 7021\n7729 10810\n2682 5024\n1517 4160\n7555 8004\n841 6819\n5353 7047\n4153 8119\n5457 9085\n1620 6362\n9396 12187\n3403 11109\n6794 11735\n2425 8750\n9208 10260\n1701 3660\n232 6613\n2863 6866\n4351 5344\n2742 8693\n5815 7282\n5520 6713\n7666 8258\n615 7461\n410 904\n4449 7115\n3724 5520\n3954 6150\n4115 5504\n3666 10922\n1604 4541\n3508 6178\n6441 6888\n1812 10113\n4717 5669\n7658 11170\n9010 9078\n128 810\n6837 10183\n2999 5062\n6899 9627\n2065 3957\n11147 11688\n5343 6896\n644 8127\n180 1982\n1529 3007\n10796 11366\n4000 4482\n220 3613\n5044 11970\n3617 4689\n1054 9342\n1193 10543\n9799 10633\n1025 11492\n3137 3579\n1371 5405\n5551 8217\n4787 5384\n15 2106\n3709 10168\n1174 5225\n588 9847\n894 2628\n5431 11455\n3197 4746\n394 986\n3585 6687\n1408 7459\n1102 7934\n11188 11214\n7974 10985\n646 3029\n4469 8745\n6340 6715\n5112 5863\n3130 5696\n3928 9839\n7668 9690\n968 10097\n237 7849\n6028 10049\n5851 8574\n5029 11872\n4347 6195\n4502 10980\n3140 11600\n1084 2737\n3889 4039\n10639 10791\n3703 5114\n1567 2440\n8240 11964\n5327 6704\n1934 5945\n8065 9930\n5516 5877\n9473 10102\n1286 12034\n5618 7636\n5996 6453\n67 3300\n365 11435\n2849 3053\n6949 8026\n4760 6044\n592 1715\n6286 11361\n317 7865\n3260 7339\n5764 9100\n9317 12179\n3469 9596\n431 6688\n1244 11654\n415 2008\n4644 8491\n3062 11320\n5248 11260\n4317 5543\n3220 10672\n8078 9268\n5088 10594\n974 1572\n1008 5861\n5333 9757\n494 4720\n2187 3345\n8881 11050\n9613 9730\n3685 10080\n3080 7122\n7747 9381\n895 12012\n2056 6775\n1313 7883\n2173 12193\n5023 6303\n503 7894\n3750 4585\n3775 8960\n228 9264\n1635 6717\n6040 9809\n1514 4779\n3219 10562\n2323 7735\n2119 10767\n1550 9223\n3453 9246\n4212 4961\n1129 9048\n6384 10841\n5583 11839\n6741 11297\n1611 11240\n8969 10087\n1400 8705\n2353 3257\n4910 8896\n9516 10668\n7395 9891\n11498 11733\n5810 10668\n6222 9077\n1802 9263\n1942 10366\n1728 10335\n3781 7586\n5060 6256\n1631 7008\n2605 5382\n7702 9111\n11611 11941\n3124 8986\n3273 7881\n1913 2143\n955 6415\n10010 10968\n1568 6532\n2143 4743\n4527 6868\n7199 11717\n3350 6512\n9470 10166\n925 6503\n313 2769\n2085 10271\n4774 11778\n4331 6778\n10598 11937\n5099 11896\n4370 5761\n318 10943\n1951 7430\n2759 8478\n9179 10176\n2929 7625\n2385 9085\n1331 9272\n2378 9804\n4117 6636\n2017 3680\n1390 9514\n4829 8536\n7555 9050\n8816 8943\n10337 10986\n1767 9980\n7908 8251\n2087 4950\n2519 9548\n9143 11354\n661 1323\n7212 8697\n7483 9288\n5130 7830\n4223 12037\n8835 9725\n4797 5926\n4646 10229\n6124 7711\n347 10722\n4577 9195\n514 8443\n2486 4675\n4521 10934\n1504 3140\n3233 5878\n3305 10543\n1706 1814\n2619 10531\n9120 9475\n5519 7718\n5205 8765\n4867 7188\n3381 4178\n5053 9464\n9205 10396\n6428 10439\n4998 8861\n7019 9811\n8979 9153\n5862 10183\n11244 11585\n5547 10038\n2383 8920\n741 7074\n554 9493\n5376 9748\n6077 10973\n9806 11399\n2582 11608\n6362 11988\n1009 10010\n4249 7705\n643 8314\n6068 6131\n296 1566\n3113 12142\n1879 2100\n985 9527\n5235 8057\n208 6310\n284 2195\n6835 11036\n259 2849\n8815 9551\n1217 4823\n1784 9454\n2693 11778\n11977 12194\n7534 8108\n7357 10299\n60 11287\n2548 4356\n1617 11433\n2806 9253\n412 8033\n9917 11317\n2866 5576\n493 6832\n1100 6768\n1919 7623\n2392 6312\n2153 4627\n8239 9659\n723 11457\n2860 5708\n6861 9130\n7283 8981\n10410 11009\n2505 11725\n8322 12125\n1078 11178\n6654 10636\n362 9873\n9251 11016\n3780 4706\n8871 11902\n7448 12080\n7309 10350\n255 3587\n946 9969\n433 2045\n5269 9351\n5682 7691\n4208 4935\n2614 9640\n8210 8367\n7915 12043\n5200 11556\n6870 7235\n5059 11159\n6821 8295\n2638 5182\n10387 10932\n5832 12190\n242 7520\n6179 11227\n6491 6662\n7746 9349\n1567 9441\n1413 11631\n1447 10853\n4397 5443\n6286 8841\n195 11952\n6246 6537\n7761 11567\n736 6566\n2602 5232\n3695 5458\n5866 6642\n650 10182\n406 6305\n4405 8197\n1060 4009\n1827 5637\n195 8824\n6381 9536\n7267 12055\n2959 7001\n3386 9458\n4287 11180\n105 9165\n7417 11596\n1469 3219\n6761 6823\n687 6932\n3468 11740\n7694 8209\n6959 10909\n1192 2326\n2426 9069\n5770 6181\n11078 12163\n1926 7346\n7590 9861\n2815 4365\n1965 4389\n6158 11075\n2536 3669\n9485 9567\n6355 9117\n402 5322\n670 5106\n2564 4269\n3855 6045\n7254 10437\n6989 7139\n8162 9422\n7313 10966\n10422 10572\n6015 8709\n7899 10563\n8970 10167\n8052 8071\n1725 4879\n2253 11419\n3722 7021\n5396 11168\n776 3219\n266 4517\n5083 9504\n3961 7204\n4135 4377\n6301 9978\n647 5060\n5561 7306\n5445 5727\n3119 5845\n6814 8952\n1440 7242\n10479 10526\n6775 8706\n1107 7331\n3277 7899\n9059 11992\n2336 6643\n1540 7311\n3482 4949\n11169 11790\n4149 9959\n7762 11034\n2979 11086\n674 1403\n2075 12161\n1179 9626\n7580 11874\n4737 7949\n6054 11085\n790 8454\n2920 3936\n6756 11792\n11753 11891\n2846 7281\n5532 7782\n6341 6883\n8334 9783\n6154 11420\n4027 9343\n2008 2879\n11348 11783\n2214 10668\n9705 11588\n10072 12049\n9819 9928\n2618 4422\n2741 2923\n6084 9298\n4508 7388\n3360 6866\n4302 8196\n3930 7449\n2470 9359\n1734 4808\n5320 12159\n6594 8263\n3377 4347\n2422 10732\n5569 11819\n750 1475\n2910 3385\n3896 7349\n3601 10117\n2474 8622\n731 2609\n1262 3477\n1967 9036\n7198 9040\n4324 9252\n1070 1916\n9880 11313\n2037 8343\n4367 10740\n5703 10478\n5393 7158\n2560 3273\n4 2515\n6069 11948\n2045 9348\n8987 10175\n1867 8470\n859 1492\n4230 4901\n9399 11145\n7004 10108\n3162 3571\n2734 6098\n42 1825\n11777 12000\n9765 11279\n10101 11993\n2120 5062\n1305 7858\n3014 10516\n31 6604\n117 11122\n3871 5819\n2302 8931\n6098 8898\n5070 5772\n2313 11582\n1937 11471\n6696 12154\n2167 5856\n7572 10280\n4633 9000\n2465 8254\n3425 10797\n4803 10597\n5804 6362\n4422 12189\n4000 9816\n5780 9395\n6183 6412\n1912 7656\n1409 7261\n3752 6712\n4782 10187\n4359 5359\n907 3106\n8912 9906\n3323 10655\n3806 6917\n4195 5288\n188 6759\n393 3141\n1434 9694\n60 75\n89 10081\n1406 11735\n2079 4183\n1865 7826\n6026 9607\n2403 10320\n5523 5639\n8071 10926\n3986 5269\n934 11524\n6566 7527\n9663 10913\n1601 11007\n863 10021\n172 4039\n4484 8821\n1469 12033\n4677 6194\n4212 10115\n7614 12138\n5780 9067\n6183 6520\n7219 9984\n6514 8235\n1337 10097\n7627 12105\n9490 12008\n7850 9392\n7445 9991\n6354 10962\n6923 11759\n3089 11583\n279 8748\n3878 11044\n759 8382\n7102 8506\n623 2144\n9003 11881\n3712 7658\n104 10860\n5026 7534\n6958 10927\n1361 7198\n722 8618\n1266 3733\n6684 7308\n3965 4864\n5575 5865\n1599 3863\n4484 9540\n1888 9571\n5043 11339\n7574 7725\n6479 6771\n2567 6580\n10086 10733\n7075 9870\n3234 9837\n8240 8309\n3304 11203\n3013 6789\n2048 3597\n6909 10389\n5852 8806\n2880 7181\n5222 6137\n11379 11918\n2807 7060\n388 8554\n8281 9427\n137 5823\n7494 7513\n6200 8401\n2333 9881\n1609 6386\n3610 8965\n350 4415\n1844 4895\n9936 10038\n3685 6754\n357 2717\n2350 11886\n38 3483\n1649 9832\n1283 10510\n8176 11671\n2586 6992\n4453 7409\n5987 10480\n9872 11898\n5524 9170\n2593 6495\n9996 11415\n5297 9717\n1461 9554\n4954 8537\n3894 7934\n7704 11508\n2284 11918\n3363 10526\n2382 10312\n3636 5907\n1626 2310\n3390 6879\n4309 7555\n6283 10875\n5111 10066\n541 707\n62 7816\n7005 7610\n2689 5909\n3845 9362\n3571 4923\n7432 8068\n3952 7038\n6381 9717\n5425 10719\n7573 12150\n4385 7319\n3369 10928\n1090 11411\n1150 1331\n5894 10466\n2202 8762\n10465 12193\n8497 11649\n7733 9455\n2249 6606\n5537 7394\n4874 6249\n1250 4180\n1841 8412\n832 11960\n692 6510\n3507 5335\n6300 10065\n2847 10251\n7493 7536\n4559 6103\n4217 9099\n2009 2521\n1328 2671\n8005 10203\n5383 11975\n1403 1980\n8710 9441\n803 10687\n6874 12146\n2283 7475\n8015 10383\n5336 9078\n914 5631\n2783 7157\n5775 7768\n7140 7662\n9741 10318\n1872 3282\n5971 10174\n290 2688\n6515 7404\n11077 12031\n1 6190\n804 12178\n9151 11001\n783 11934\n2670 11882\n10155 10294\n3105 5200\n8629 10738\n856 6436\n1810 10059\n180 222\n7330 8906\n5916 5957\n3513 10616\n3327 7792\n5959 11957\n3179 7877\n4666 4836\n10483 10765\n1242 2106\n7904 8360\n4010 12053\n6197 6490\n3300 4379\n1584 6185\n9871 9896\n3104 5561\n5768 8686\n3572 7284\n6359 8125\n1432 4012\n8036 9967\n1279 7435\n2239 9809\n154 7848\n1758 5981\n1421 9250\n204 3264\n8488 10370\n1090 2258\n8 5217\n6835 7851\n6841 10645\n972 7448\n2504 11738\n488 4872\n1188 11068\n4425 5490\n872 7613\n3009 8332\n175 3187\n3634 10409\n1462 3936\n2027 7862\n4241 8881\n10439 11823\n2581 5393\n11151 11688\n2848 3273\n6183 6555\n3704 11637\n9231 9692\n7300 10611\n5257 11159\n6406 8577\n4778 8087\n11163 11908\n1039 7563\n3392 7631\n7497 10947\n7053 9055\n1786 11480\n2406 10645\n4091 11302\n1820 7101\n9822 11548\n317 1817\n2084 2555\n6962 8094\n1919 2597\n6261 9798\n282 8237\n7084 12041\n5280 9623\n8552 11703\n6678 7095\n6438 8860\n253 6180\n463 6864\n4329 4510\n8799 9121\n1927 7327\n1412 5609\n1404 3091\n790 9273\n1509 2705\n4534 11653\n5998 7509\n5382 6271\n987 3815\n3202 8413\n9912 9915\n4703 11226\n2294 10936\n7158 9081\n3076 9023\n4313 4670\n7532 11928\n2878 8315\n3897 5937\n5098 5850\n1491 9604\n457 6379\n3704 9266\n7541 11424\n4879 7119\n6237 7249\n240 2713\n3543 10369\n2077 5841\n7602 8928\n2350 10185\n5522 8571\n1096 7446\n1905 5361\n140 2766\n7622 10527\n27 11478\n5850 10241\n77 5666\n9508 11593\n5844 9510\n149 8708\n2033 3989\n7777 9937\n5489 12062\n10229 11859\n2778 11550\n1870 9847\n6545 6656\n4099 5207\n7270 9963\n3036 3784\n6833 7729\n4043 9588\n957 10915\n6658 11893\n668 11703\n388 6109\n647 2280\n1037 1865\n2516 4468\n3037 5393\n240 8280\n3905 10522\n2641 11246\n2093 5661\n5654 6194\n9698 10913\n2955 9734\n994 7247\n9754 10020\n4173 5266\n846 8799\n64 2280\n7332 8069\n5786 12037\n7818 8449\n7372 8316\n209 8408\n199 3698\n1742 2686\n6291 10167\n7684 10082\n4457 4632\n4727 9256\n4765 9293\n2492 9770\n8337 11558\n6986 9936\n3247 7553\n2645 6339\n1782 10307\n857 5939\n9604 9839\n6047 11757\n6304 10926\n4664 7675\n894 11675\n1807 4665\n433 4119\n4322 9615\n3402 6792\n2697 4141\n1117 9163\n3 9627\n606 4048\n847 6982\n5550 7380\n8965 10346\n3898 10928\n1272 4907\n1984 7492\n3734 4298\n3757 4272\n5805 9651\n1082 7439\n6118 10968\n2101 6254\n1761 11033\n5524 10293\n3680 5765\n9456 12001\n9842 10091\n5548 7038\n1001 4733\n6708 8119\n5686 7535\n4651 6836\n3000 11662\n6312 7819\n2629 8785\n507 4180\n3030 4017\n5525 8818\n3335 12013\n179 4941\n8293 11169\n2663 2856\n11317 12005\n2630 6822\n338 8057\n1874 9231\n10205 10996\n8303 8772\n6125 6596\n9402 9569\n647 2939\n5088 9913\n6386 10238\n2321 4963\n6176 11251\n256 9464\n11017 11415\n8714 9955\n3271 6889\n1399 10522\n8785 9937\n11209 12084\n3509 4995\n9319 9497\n728 6344\n759 8255\n2227 3148\n5156 10288\n865 2940\n554 1402\n37 4636\n5919 7058\n1284 7535\n2843 3442\n2317 8251\n2405 9858\n1577 12105\n5011 9685\n4549 7441\n2924 5633\n7392 8877\n5516 7762\n1455 7380\n9600 10664\n2067 2430\n24 232\n4653 5982\n3430 6813\n7030 11674\n2831 3591\n458 3119\n3770 10688\n3656 4242\n1693 1699\n7378 11912\n6177 10261\n5176 8073\n6140 10421\n6870 12141\n6153 10044\n7131 11687\n69 8810\n6805 10886\n3124 6065\n1380 3943\n4880 5476\n4032 6753\n484 6641\n1745 4857\n3010 9416\n2842 9311\n3614 7909\n8981 10536\n3495 8168\n4271 8795\n2468 3154\n1312 9226\n4756 10020\n5136 6189\n5684 8106\n5932 6890\n52 10197\n1675 12045\n22 1791\n5147 10816\n890 10964\n621 5066\n7557 10729\n1275 5577\n1498 6991\n1690 4344\n3014 4908\n8462 10258\n5316 9952\n3757 10413\n8806 11801\n5813 6591\n5960 7118\n2504 7279\n6095 7278\n568 11352\n110 6922\n4950 8754\n5010 11177\n70 5551\n366 596\n386 2769\n4324 11796\n773 10295\n1390 3106\n1487 5130\n3273 5742\n3755 9315\n572 9657\n4833 5196\n1350 3973\n7708 7715\n8173 9319\n4523 10818\n5074 11902\n1530 1949\n2265 8295\n902 3279\n6693 8120\n2139 5452\n2111 11372\n1156 2920\n10 1877\n219 4750\n11970 12035\n9479 9714\n1362 7338\n3804 6023\n6696 8304\n4339 9277\n856 4219\n2728 10400\n2645 10055\n118 10258\n8761 11149\n5720 7328\n1196 3324\n2175 4098\n1486 1857\n5368 8779\n7867 8509\n2175 3049\n2032 2790\n177 5670\n5423 8140\n3065 4721\n5898 6183\n3827 8662\n3579 4750\n1880 11597\n1415 7016\n6900 8814\n3226 6880\n1107 10308\n10393 10517\n4534 6281\n5602 7324\n4720 7886\n4301 10925\n186 11804\n3938 5579\n5224 7842\n3819 11815\n2279 8548\n1048 7775\n3022 6728\n10239 10404\n552 1518\n1915 11579\n11047 11464\n599 9150\n8472 9778\n6662 9803\n3600 3967\n2574 9466\n6390 6868\n9720 11330\n6269 10875\n1817 3384\n4912 6906\n4948 5900\n4734 10534\n4365 8006\n3822 10143\n4653 10755\n4337 5501\n1654 4165\n5938 6684\n9915 11077\n5977 11658\n7923 12160\n11254 11858\n1342 3254\n392 3952\n10493 10780\n4831 6294\n1649 2219\n5387 11530\n2236 11458\n5189 10672\n10085 11120\n5359 6575\n5413 8198\n2140 4750\n4262 11064\n2111 3148\n235 2340\n3061 5302\n2093 4674\n1235 3812\n7077 7288\n3570 6211\n1495 7544\n1765 11229\n1945 7465\n6799 9019\n4469 9043\n6460 7409\n2800 3971\n10350 10877\n640 5036\n5743 11617\n3029 5736\n7051 11552\n1883 4506\n164 11416\n5033 8710\n8300 10763\n3381 4283\n3432 8596\n162 9928\n2753 11353\n5372 11838\n8023 11315\n197 7837\n2569 11434\n2059 9460\n1313 10553\n5111 8459\n1898 4039\n4436 7089\n8051 8565\n3213 11216\n5683 9154\n302 9798\n208 4173\n8767 10606\n6100 10013\n627 9436\n4191 9165\n9314 10579\n7123 7860\n2902 5627\n1237 7960\n1676 11657\n735 11914\n799 2611\n1793 5356\n8971 9175\n5293 7425\n2503 9518\n2709 8056\n1935 9261\n2418 4309\n8488 9448\n3701 5679\n5683 6543\n5904 8968\n1036 6855\n4172 9165\n10050 10702\n10432 11419\n3916 10299\n2615 10089\n4039 4281\n7515 8848\n3833 9023\n3985 8328\n4751 11477\n610 9532\n9592 9604\n3104 7633\n463 10977\n3808 4380\n2980 11945\n7076 9567\n5322 5812\n9313 10805\n8455 8578\n434 8180\n7267 9686\n6838 11680\n5830 6031\n771 6893\n5072 5502\n10396 11280\n5884 11883\n6206 6471\n1835 9727\n5276 11854\n6146 6781\n218 429\n2689 3659\n649 7281\n3647 6686\n3006 10968\n5668 10325\n3454 9739\n212 11382\n3928 7374\n4642 9809\n1958 5783\n6746 7651\n7974 8438\n6896 7867\n5154 5323\n3175 5750\n4513 10245\n10292 10826\n5869 7167\n2893 4707\n2796 7809\n10697 10765\n8127 11749\n3315 5278\n2005 4833\n4745 7066\n516 9873\n2369 10257\n8055 8590\n2829 6176\n1887 9556\n8480 10230\n8368 10558\n3126 11487\n3673 7372\n4305 11241\n2541 10274\n6952 10657\n8492 8503\n1777 6151\n3665 4453\n1966 10232\n6177 6936\n785 5261\n819 1048\n11153 11711\n2172 10651\n8519 10870\n3964 10846\n1596 9893\n9720 12052\n3789 5657\n1346 9908\n2958 3780\n10637 11418\n2453 11700\n323 4314\n970 9865\n2396 9838\n1382 5789\n11082 12035\n2977 3688\n4830 9152\n577 6930\n5463 7912\n4409 5766\n3298 5068\n7286 8436\n57 7923\n9458 11012\n5196 7439\n2283 10234\n1352 10376\n9568 11257\n9047 9388\n3766 4002\n5429 5533\n5349 6766\n3802 11712\n1801 10535\n2142 4595\n4209 5339\n2933 11770\n4556 6493\n8290 8351\n7452 8052\n791 8827\n6644 7798\n2570 3140\n3555 7635\n3706 9270\n1634 11657\n751 4909\n3013 8971\n1266 2701\n672 1439\n3311 12184\n1859 10527\n3638 11379\n2387 10616\n5881 6291\n2310 9405\n972 4110\n3893 9103\n2386 7339\n834 6111\n7569 10288\n584 6973\n1650 9423\n325 1999\n2699 9918\n2965 4194\n5544 8539\n3545 3935\n4776 7530\n59 6401\n5303 9775\n1866 7308\n8616 9246\n1260 12023\n2517 8320\n8013 9873\n2657 6315\n4340 10742\n7734 7818\n2345 9139\n1375 6571\n2958 11112\n1200 9020\n2099 6028\n882 2710\n5249 5904\n2779 8302\n198 6791\n552 10556\n4707 9998\n8009 8650\n144 1337\n663 7986\n961 2306\n8596 11859\n1817 2223\n522 8739\n5539 10425\n1091 5097\n3109 3829\n5504 8835\n6876 7431\n8772 11219\n2003 6735\n9674 10193\n1371 4837\n270 10528\n5554 8687\n2892 8827\n1946 5031\n2110 12158\n70 9910\n6612 7297\n230 10787\n5004 6580\n3712 4505\n4320 10083\n1315 2712\n6857 11192\n1768 7784\n4875 8218\n11216 11249\n1209 12125\n4518 7243\n1725 7016\n701 8309\n8214 10695\n375 6117\n589 1776\n88 5798\n8480 12096\n1421 8978\n2877 9260\n5395 9181\n1718 1768\n8022 11388\n8850 12179\n656 8065\n1919 8912\n1096 1750\n490 6774\n7165 10205\n5124 11574\n451 6563\n1453 8909\n2919 5179\n5819 7242\n7079 9409\n4798 6618\n2402 3576\n6009 8375\n8575 9564\n3769 9081\n3470 9153\n7176 7896\n10643 11577\n5591 9442\n4389 11994\n1923 10581\n372 5289\n8202 9583\n6348 7768\n9560 11352\n4218 7111\n3837 12194\n6007 9500\n3320 7128\n4349 4977\n473 2054\n7558 12021\n1712 4661\n10390 12022\n6792 11075\n484 10673\n1661 10897\n3766 8343\n3508 10364\n750 3626\n9546 11321\n801 7030\n675 2818\n4732 10315\n4646 8898\n4622 7636\n4762 5136\n4605 7364\n6831 8139\n3393 3765\n1158 11982\n3029 5556\n5436 10001\n3278 6792\n3434 7443\n10543 10931\n4922 7741\n7294 11974\n9043 10044\n10050 10363\n2464 5709\n1170 6399\n1245 3258\n1482 2739\n8740 10505\n1832 10146\n3022 5214\n3456 11568\n1971 2218\n6160 11964\n5175 6208\n6686 10748\n6838 11148\n5866 7781\n3583 5977\n6901 10826\n5311 9661\n4035 12170\n5715 6438\n3050 3237\n1078 7742\n582 6883\n8390 8928\n8435 11867\n3187 5715\n1082 7978\n9506 12141\n7794 12125\n277 7672\n8204 9268\n1477 6200\n3262 10193\n4611 8360\n4821 6070\n1133 8678\n2068 2162\n9126 11820\n2893 11824\n1644 8190\n2664 5264\n3481 7552\n1382 9266\n2130 5124\n2150 11775\n790 2040\n1529 4501\n9594 11751\n452 4729\n5742 12169\n551 10373\n285 7295\n2035 11231\n9819 10193\n4687 7441\n6968 10400\n2775 12125\n1721 8540\n3933 7488\n1792 7770\n5158 6393\n3474 5381\n8887 9983\n169 877\n202 2394\n3376 10281\n3233 11305\n2494 4628\n198 1261\n7758 11626\n7653 10860\n4383 6381\n3617 9672\n3969 7224\n3880 10078\n6583 9284\n2078 11053\n902 10846\n3921 8361\n2329 9565\n2352 11632\n860 2426\n749 10549\n5376 6772\n1278 8743\n5484 11364\n2625 9301\n2179 6327\n991 7381\n221 10603\n2616 5905\n4962 11997\n8044 9616\n5894 9535\n1817 4293\n1927 11157\n9431 9756\n3051 11383\n1023 11912\n9 8833\n2304 7599\n9203 11724\n1633 6303\n554 12121\n629 11074\n5664 11632\n2876 9645\n6303 6492\n3910 11947\n5131 5543\n2241 4390\n5363 10673\n3458 8831\n347 2785\n2396 9875\n2959 9325\n6540 6923\n1756 11597\n1293 8467\n3683 4605\n2217 8040\n1250 11087\n10696 10778\n4 8020\n2052 11670\n7985 11938\n4640 9821\n3333 9764\n6454 10952\n1849 11046\n2520 9720\n5000 10325\n7441 10480\n4094 6567\n8274 8566\n2340 5123\n5265 6767\n4178 5847\n562 11848\n5002 9112\n3235 11245\n6688 10276\n8016 9343\n3099 7646\n3306 4648\n4416 11778\n10279 11267\n2440 3068\n3165 7861\n2782 7124\n3442 10230\n8628 10930\n1499 2836\n7998 9159\n5476 6564\n6138 11268\n6252 9695\n1790 5666\n193 4243\n6375 9287\n772 3417\n480 10971\n5502 7935\n6448 9599\n3540 9937\n2254 11329\n4933 8169\n3437 8087\n6221 12061\n552 1667\n306 9767\n4591 10098\n1238 6252\n226 8039\n7661 11639\n1326 12118\n5100 6623\n5277 8674\n1819 2453\n1936 3465\n2108 2439\n2073 2629\n3692 10474\n5899 7304\n5874 8056\n4225 5862\n9590 11133\n1881 6059\n4802 6370\n339 6731\n4573 8904\n4831 8983\n3304 7029\n5909 10318\n11023 11409\n6564 7583\n8118 10461\n1040 9814\n797 5883\n313 5340\n5572 6958\n4425 11046\n993 6215\n8716 8761\n4186 9366\n5275 6918\n608 10343\n4043 9232\n6067 9587\n6769 8047\n9147 9794\n5456 9238\n1927 6433\n555 9418\n1564 12026\n4505 7165\n6027 9507\n3209 11181\n6655 9716\n1747 10315\n3252 9672\n4634 5432\n3206 9346\n6044 11651\n7562 9228\n3826 8609\n1326 3152\n1036 6145\n2410 7659\n4501 9565\n1884 2111\n8552 11740\n8239 8301\n10139 10361\n6515 9936\n385 11993\n883 1331\n209 11032\n8147 9351\n2431 8516\n424 10886\n9281 9937\n2457 2677\n1250 11938\n6875 10015\n7342 12151\n324 11574\n4226 8146\n2073 9270\n760 10890\n302 1092\n8191 9219\n6601 11969\n27 7771\n8574 11067\n2548 9076\n9719 12050\n5665 8563\n1260 8030\n1789 3409\n1455 10697\n3707 5928\n6372 9639\n906 949\n6295 9197\n3641 6125\n2749 10532\n1164 7547\n242 5122\n2114 9451\n1761 6608\n7352 10931\n7080 7869\n5319 7309\n8731 9730\n5002 10711\n10499 11572\n4316 5141\n1219 5668\n2930 4788\n6982 10819\n6073 8962\n7397 12181\n2889 12075\n4700 4769\n285 10196\n3032 10502\n5112 6793\n4520 4680\n5306 8857\n461 1065\n6333 8328\n2479 9982\n4055 11769\n3540 9686\n2945 3470\n4347 5590\n2795 11013\n338 4262\n1912 10782\n9895 11778\n661 11163\n3857 11874\n773 11559\n10343 10966\n141 5856\n9040 9682\n1659 10104\n4820 10332\n8744 9547\n2633 8127\n5548 9730\n322 7240\n7545 11547\n8219 10631\n2211 7901\n4832 8521\n2332 8895\n4986 5938\n1002 11236\n4728 8000\n4513 7429\n7958 10398\n6283 10602\n3099 8296\n2451 6753\n4383 7984\n827 3553\n8928 12094\n363 7406\n550 8235\n2775 10145\n1227 2563\n1806 2358\n5139 7171\n944 11372\n7259 8721\n5297 11069\n6485 11131\n29 7759\n2441 10554\n742 5246\n6108 11311\n8054 11339\n833 2866\n826 5908\n8436 11953\n288 7122\n104 1984\n5748 7175\n4736 7454\n137 4172\n338 3411\n2194 7181\n6630 10102\n4168 7062\n8461 10531\n101 855\n1498 3805\n8448 9871\n6731 9560\n9115 10942\n6885 7444\n4906 8015\n583 5606\n1168 12026\n2456 12046\n7084 8021\n3763 5152\n6109 8459\n9233 10709\n285 11179\n2628 9784\n3913 5003\n8081 9925\n2987 9443\n5764 10019\n6773 7110\n2909 4904\n4428 10025\n77 2157\n5360 6808\n2072 8033\n2892 3598\n1209 2872\n3291 6487\n2166 6912\n1051 3659\n6340 8630\n7437 9501\n11037 11208\n5637 11511\n8571 9468\n4707 6487\n502 3958\n8310 8779\n3552 5469\n2820 10420\n7297 12147\n10646 11624\n2003 6126\n909 10894\n8717 11060\n2288 11572\n6127 11070\n2696 7626\n7118 10494\n6803 8984\n5621 10036\n304 11052\n4301 5038\n4783 7726\n3453 9590\n1687 3135\n3668 7212\n93 9880\n3967 9950\n9153 10181\n328 4857\n3214 5077\n9496 10141\n351 10565\n754 6762\n209 7556\n395 1937\n9323 12155\n5114 6000\n1218 6821\n4672 9693\n1380 8963\n1280 9969\n827 3877\n1651 6923\n2007 9061\n1601 6773\n3127 8370\n5315 9713\n5291 9046\n10058 10874\n603 1419\n9238 10760\n7890 8750\n8300 11208\n269 682\n6593 11706\n3314 11126\n5498 6983\n6237 10273\n1985 4556\n4572 9522\n6542 12123\n2482 10220\n221 2082\n448 9014\n274 4363\n4715 5986\n2337 9865\n3510 11297\n1349 8080\n4082 9494\n2817 8039\n11118 12048\n2735 9588\n2250 5110\n2269 3806\n2159 7326\n9063 9566\n2074 5024\n10748 12018\n293 5623\n763 4739\n4031 6507\n8185 12021\n5292 10956\n2470 3965\n9981 10985\n2366 3283\n3363 5981\n2690 11129\n610 1530\n938 11623\n10174 10606\n8280 10440\n126 4806\n9012 11623\n9528 11573\n10540 11313\n4383 8212\n933 7140\n7800 8628\n8659 11928\n7221 8650\n2822 9253\n3240 3778\n1693 2749\n10305 10521\n5797 6768\n4865 11717\n5066 10559\n5751 8082\n5729 5795\n6329 11957\n1991 6316\n3693 6964\n3844 12098\n2813 2973\n4189 5075\n5084 6014\n1428 10816\n2170 11820\n3224 9983\n5270 5863\n8079 8285\n4999 9243\n5012 10007\n10510 11948\n10016 12171\n9457 11628\n6684 8267\n3429 11864\n6371 6948\n7462 9948\n10771 11878\n2404 3873\n6208 8173\n791 6497\n4453 10917\n4552 11604\n2907 12064\n484 1483\n5055 12095\n746 3135\n1162 3603\n283 7280\n2597 10093\n2644 3900\n1519 7799\n5996 11629\n770 5412\n2335 10097\n5823 10880\n3770 12152\n861 10964\n3203 8773\n902 1169\n37 2781\n2609 7295\n118 9634\n2414 10588\n119 4834\n328 5496\n7611 8460\n5282 11917\n2071 3549\n5959 8426\n3281 6358\n3617 8863\n731 6870\n3196 10917\n3405 3856\n1042 6713\n2336 4869\n5578 9902\n8017 9500\n6110 10005\n4812 7162\n2176 4174\n5187 9650\n4669 10399\n1185 7685\n3374 9562\n1642 11393\n373 1718\n771 4642\n9573 10089\n8935 11856\n1714 7345\n1384 2288\n4541 9055\n3210 5623\n3681 11559\n2236 6174\n8126 11409\n2398 4052\n4373 11311\n2508 7357\n10212 10282\n340 9543\n3195 9048\n558 10737\n1590 4462\n1639 2783\n2367 4397\n4999 5244\n1632 3593\n1889 7744\n6132 8573\n107 7577\n596 10045\n2811 4241\n949 6945\n1145 5652\n4102 8654\n1398 11487\n326 11832\n1428 6340\n952 5443\n8869 12123\n2224 9508\n7085 10724\n2368 12165\n2119 11788\n619 7243\n5172 8318\n4352 6022\n2966 12017\n1824 10276\n6618 8812\n3672 4292\n4446 8554\n8080 10191\n4699 6660\n470 8362\n564 1947\n7293 11941\n1028 6481\n4685 12095\n4268 10932\n1175 9615\n580 8045\n10630 11759\n1078 9186\n4499 6910\n4644 5271\n788 4416\n4191 10868\n902 1887\n2215 7988\n341 3241\n6838 8493\n8900 11836\n891 1591\n8380 9002\n2275 6620\n6303 6791\n5458 6976\n1714 2575\n5629 9086\n8011 8956\n4518 10001\n177 6630\n691 7453\n8276 11841\n5141 8041\n2848 11436\n3322 9004\n5605 9589\n4429 11324\n5960 6474\n5307 6226\n7374 11950\n2556 5826\n223 10018\n4832 10168\n7540 10922\n3544 8243\n9603 10970\n7275 11286\n2822 6720\n2805 8381\n1595 5097\n2360 8713\n2485 11649\n6625 11097\n4834 11580\n2793 9991\n9201 10128\n1993 4949\n5451 10298\n3181 10036\n8882 11999\n5714 9339\n2765 5877\n7958 9331\n3676 8886\n404 9845\n3245 3621\n733 9278\n1997 6397\n154 10501\n9783 10751\n1118 1689\n8841 9453\n2190 4701\n7076 7484\n1004 2955\n7757 10461\n2396 7843\n1762 10198\n3426 8547\n27 1660\n8342 9219\n279 7889\n4633 7243\n1624 4472\n7688 10990\n6167 7481\n4330 12139\n3119 6930\n7749 11601\n6164 12047\n3408 8200\n1914 4279\n6984 9299\n4773 5804\n1897 8253\n5640 9338\n4394 11995\n7744 9695\n268 8000\n8116 8236\n228 1146\n10068 10726\n7083 10471\n869 4507\n3182 3760\n841 7468\n648 3290\n5917 6146\n3665 6910\n6079 12141\n703 9559\n7213 7462\n374 7743\n749 9740\n545 2554\n271 8260\n2966 10474\n1659 4903\n9961 10295\n669 10026\n1525 6975\n3378 6401\n1129 1403\n2323 4729\n3499 9488\n3175 3457\n4439 7180\n1263 4683\n373 11306\n3644 9942\n31 7786\n9914 10567\n525 3377\n6421 10009\n2528 3651\n5639 8771\n3114 4635\n5354 6297\n1347 9629\n7644 7799\n8144 8815\n1148 11890\n8545 10103\n2614 8868\n5420 9378\n5823 7130\n2577 7791\n706 10709\n3812 9734\n7291 8014\n9902 11676\n5124 8414\n5210 11581\n566 4477\n2341 5787\n1756 3556\n7426 10797\n7177 8065\n2670 8778\n384 9831\n854 4326\n1304 10784\n520 8615\n8714 11901\n2845 6048\n354 5167\n4944 9939\n5941 12025\n2589 5192\n2347 3347\n2629 2788\n6288 6414\n6372 11602\n982 4025\n815 8068\n3301 9182\n7235 8408\n7397 8745\n8789 9422\n2516 7382\n6320 6735\n6002 10417\n6297 7266\n2901 8961\n7746 11087\n4311 8536\n8876 11631\n6424 7235\n5878 10568\n7573 11052\n706 7522\n455 5224\n9217 10901\n1867 10104\n2450 5517\n702 7153\n1547 9189\n3112 11197\n2324 2687\n5128 10755\n512 8764\n2587 3193\n4975 10609\n4165 11999\n5636 6199\n2344 2674\n5136 10364\n6087 6111\n491 3391\n5411 11405\n1058 8547\n128 8244\n8854 10945\n3618 9785\n7187 12010\n1747 11766\n2231 3208\n4083 10730\n2044 2615\n5773 10139\n100 9766\n1521 8606\n2342 10392\n3401 4369\n6332 12126\n10182 10243\n1432 8062\n4450 10583\n7475 11003\n2632 11032\n5126 5260\n1601 10910\n3007 11840\n8493 11477\n3369 11524\n4856 6137\n5141 8342\n3483 9008\n4113 6317\n9694 9939\n2573 2989\n4630 7167\n311 3445\n5945 6950\n3704 8927\n2262 7457\n1056 8178\n1576 5408\n1670 10953\n9821 10389\n5654 8981\n1904 4043\n315 2811\n8068 11504\n2828 4851\n2089 8049\n2781 9728\n264 9038\n2139 5674\n1608 10705\n58 5263\n4680 8134\n10448 11849\n1323 9948\n3971 8985\n4843 5103\n1372 7018\n4751 8717\n7135 9536\n6889 11057\n1343 6103\n7851 10163\n4632 8694\n2448 7930\n533 7210\n9727 11624\n2249 5154\n4123 11061\n5176 7946\n1860 3840\n1424 6058\n263 3264\n3077 9383\n1076 8392\n6482 9097\n6012 8123\n3345 11177\n1045 3977\n5263 8127\n1275 9239\n5432 10404\n975 10181\n5119 8534\n7290 11900\n8308 10364\n620 2959\n5463 6737\n9138 10117\n1451 11787\n3735 11924\n9536 10755\n5799 10891\n602 7426\n2651 4568\n11146 11782\n2824 9943\n1109 11151\n4103 6086\n7375 12048\n2819 9244\n5220 6112\n3297 4249\n2788 6553\n4340 12105\n2512 6990\n4237 7733\n4128 11724\n3098 7992\n9233 10507\n790 11362\n3804 8502\n5572 8756\n3555 12075\n10259 10967\n2339 11600\n6778 8843\n3205 10934\n11299 11718\n317 4554\n1913 4256\n4633 11847\n600 9004\n4126 6509\n8568 12079\n52 2023\n9078 9259\n7510 8327\n5252 6087\n3735 8788\n1166 9635\n9987 10477\n3333 7664\n5204 10160\n1887 10958\n4831 9933\n1243 2737\n840 4992\n3683 6115\n5590 6017\n5460 12138\n7953 12118\n1934 10260\n5248 5635\n3644 7989\n9674 11399\n179 7395\n1244 10845\n4285 10932\n7017 11917\n535 9611\n2197 4117\n3511 9200\n2826 10721\n2143 7622\n7374 12069\n7050 10591\n5252 7288\n11193 12192\n2057 12160\n2582 5797\n305 4933\n1667 6416\n468 2639\n9796 10288\n4245 4663\n1992 10343\n2639 4620\n8213 9589\n7153 11921\n8066 11517\n3601 10678\n3638 7432\n8507 9894\n1442 2419\n4652 9458\n2338 5850\n10542 10888\n207 671\n5242 8854\n1611 3307\n279 11094\n8746 10908\n7382 8047\n475 8739\n2284 2322\n3625 11238\n1972 4140\n10345 10792\n3273 9721\n5382 7509\n4607 9952\n5318 10909\n3654 10771\n2157 10025\n3890 8666\n3250 10826\n1406 10550\n5385 10512\n2303 6005\n6364 10880\n10798 11127\n9670 12068\n5316 9752\n974 5360\n4910 7827\n3596 6375\n8052 11887\n4495 4700\n3001 12119\n3913 11074\n3226 5941\n2134 8842\n116 11400\n692 1439\n7826 9302\n2956 6889\n121 10385\n8952 10632\n6987 9390\n3518 5470\n2398 6349\n364 3048\n2384 5183\n1536 6734\n9303 10863\n9707 10275\n6752 9425\n2011 5299\n3720 4778\n1368 10953\n8005 11411\n6336 7045\n7471 8965\n8646 11646\n6941 7284\n706 6064\n7416 7705\n6870 7564\n2034 7122\n15 4563\n9436 10916\n592 11633\n8595 11144\n3035 3306\n3373 9856\n5427 8716\n5434 5927\n297 11312\n1325 4385\n8734 10349\n8494 8567\n2105 11305\n3345 7725\n6433 10822\n4228 5484\n2877 9094\n1446 5260\n9456 10928\n2289 8974\n2433 10923\n5220 11365\n3719 11742\n464 4456\n300 6139\n5300 10580\n8113 11625\n1154 2957\n3744 11711\n2598 5640\n1238 3473\n6145 9982\n4023 5412\n5412 9259\n6450 11231\n11684 11852\n6325 6431\n1688 2422\n4061 5321\n322 8119\n6482 8781\n541 9607\n3150 5129\n5936 7009\n3925 11122\n2954 4924\n4029 5139\n1893 7810\n1886 9833\n393 5707\n1390 2447\n7322 9795\n4523 10546\n252 6412\n2030 10635\n1956 2053\n3524 6294\n1994 4430\n6517 11879\n9264 10817\n3352 7042\n3018 7961\n4085 11554\n334 363\n115 1443\n690 6194\n1524 9340\n411 6922\n1702 10940\n3080 5006\n3347 9856\n533 9388\n5331 6616\n1887 7140\n6066 6621\n6811 7378\n1100 3767\n9359 11052\n3659 10503\n5274 5923\n3621 10657\n3386 10422\n2659 7272\n3724 3877\n158 6232\n5418 8924\n230 5593\n4733 10557\n1422 11108\n8274 10673\n5868 7586\n1817 3942\n899 4367\n2760 5384\n446 10343\n2079 7209\n495 1108\n1364 2017\n5774 9509\n3582 4245\n7135 10823\n3755 4476\n6844 11403\n1418 11899\n5515 6472\n5552 11527\n2957 9909\n5811 9401\n2285 2836\n1608 9983\n1733 2091\n2055 6882\n6866 10697\n1536 11867\n5613 7183\n1521 11943\n1373 10383\n1710 3973\n4383 5886\n6211 10346\n6164 10560\n1413 2904\n1700 2133\n4537 5654\n260 2684\n2570 7277\n5066 11280\n2497 10343\n2423 4570\n788 5481\n486 5885\n4042 10445\n4960 5561\n2646 10387\n553 7629\n3741 5263\n2628 6884\n2443 6595\n3660 8608\n1891 10721\n4175 6382\n1373 6211\n4840 6739\n1902 8722\n766 8898\n5164 11328\n1602 5802\n9751 9857\n6412 10884\n211 9917\n7787 11525\n2904 10726\n4006 9389\n2350 2530\n4100 10239\n11097 11183\n8766 11937\n10333 10352\n1969 12123\n7076 10816\n8759 9867\n6138 9532\n6850 7890\n2755 3645\n4188 5578\n6724 8183\n3650 4716\n417 3072\n1573 11236\n3431 8873\n7823 10058\n750 10269\n4552 6337\n690 7245\n43 7802\n8504 11283\n2729 5579\n2545 3908\n1268 5324\n5713 7461\n743 7313\n49 7676\n3480 7803\n4250 10535\n49 3003\n2991 6331\n1562 2526\n3423 5784\n5603 7460\n6600 8613\n7998 11006\n7118 8563\n454 7022\n7116 8457\n3006 11338\n10863 12089\n576 11547\n8433 9415\n5193 7535\n695 5360\n5506 8069\n2934 11074\n3512 10574\n3505 10619\n1006 2215\n11196 12119\n2136 4745\n2631 10201\n9275 11173\n684 3082\n3653 8324\n1556 4147\n10077 10807\n280 11228\n8408 9965\n3392 11601\n7217 10057\n790 6230\n3552 10580\n8126 8281\n539 2113\n2694 10183\n7507 10257\n2312 6451\n5498 9585\n650 9756\n1483 3596\n4654 10223\n7276 11984\n973 8965\n2284 11741\n4632 11585\n2469 7241\n1829 4986\n192 6531\n7214 7493\n4822 5892\n7383 8395\n1552 7123\n1586 10857\n709 1863\n3159 6367\n4478 5386\n1381 7724\n7036 9881\n2141 10314\n6061 7076\n7390 8278\n6071 7661\n6286 11166\n6042 7928\n1873 6289\n589 4028\n835 1431\n3879 10392\n1816 8839\n5454 9043\n5268 10331\n304 475\n10118 10957\n8811 11069\n2023 7020\n4303 9410\n3978 5744\n5225 9082\n869 6904\n967 4548\n2637 4350\n1109 2780\n1318 2295\n4164 9162\n4188 11986\n9693 11298\n742 4035\n8308 9295\n2620 10454\n3098 9999\n5715 7320\n5340 6840\n4455 6864\n8152 9968\n1341 11518\n3784 7904\n3885 7332\n1043 1782\n1732 5798\n3314 8293\n10659 12004\n681 8483\n6218 7354\n1924 3749\n95 4983\n7214 9905\n3455 9866\n686 3419\n1645 5885\n6766 9363\n7474 10411\n6615 12186\n1673 8230\n5470 9819\n9634 11860\n1635 7982\n4131 10425\n20 787\n3598 8667\n3081 9280\n2945 4114\n1580 9611\n410 8817\n7529 10784\n3311 9189\n1895 9215\n10955 11763\n59 6232\n2289 8163\n1458 8590\n575 4357\n3651 9328\n4803 11099\n1050 5982\n4144 7225\n1261 1949\n4340 8230\n7713 8498\n6525 10406\n2165 2461\n143 9185\n366 12043\n836 3802\n2118 3941\n6843 7955\n518 2310\n5960 6661\n8440 9687\n1396 3784\n8919 10125\n148 10282\n6036 6206\n2950 9644\n85 7553\n5299 10115\n6048 6926\n1556 7332\n7462 11575\n6105 8423\n5228 8038\n5707 10220\n7172 7799\n6335 9084\n1812 6711\n560 11473\n5704 10698\n1209 4368\n8138 9920\n7318 12025\n6836 7137\n8440 11485\n594 1445\n1016 11511\n3341 3794\n1852 10955\n4342 7804\n1216 2670\n9281 10306\n2304 7228\n4980 5216\n1218 9005\n89 1320\n5101 10267\n1321 6437\n431 8210\n9140 9467\n3881 7133\n1051 10063\n1339 7393\n1860 6709\n1979 10929\n2385 11798\n3484 8399\n858 1688\n7128 8825\n3542 8702\n112 160\n2686 8148\n6833 7400\n4292 6180\n3191 3251\n3263 12147\n372 476\n7847 8315\n1017 3794\n2129 4331\n4287 8269\n5287 8003\n588 10044\n7033 9522\n719 4941\n306 1133\n103 5366\n2058 11943\n5523 9599\n2782 9209\n6322 8640\n1793 2150\n2134 6178\n2391 4915\n7079 9732\n964 7726\n4768 10463\n7182 10912\n2073 9223\n9982 10489\n2164 12140\n5228 7701\n395 7503\n596 2247\n4091 5106\n2713 5197\n7030 10149\n7545 11079\n5656 8762\n1156 10392\n5987 7565\n9674 9783\n4252 9028\n4241 9400\n3793 10986\n1903 3611\n3404 10403\n9061 10563\n7516 8365\n9222 10841\n3098 9049\n4268 4355\n5773 11754\n4226 7692\n5134 10328\n2920 10870\n9523 11513\n3994 5555\n6686 8247\n2368 5410\n8689 9070\n4471 9092\n1203 4031\n1492 9510\n152 4893\n1508 3552\n8591 9201\n1912 5773\n674 5253\n5577 10727\n7107 10577\n3534 5011\n2090 10450\n3974 4341\n5727 9414\n1140 11384\n5279 7338\n2135 8602\n5269 10927\n5350 7872\n10920 11693\n76 8702\n496 2717\n269 4562\n2585 10694\n6828 10159\n2448 5126\n10074 12134\n1685 10068\n6902 11606\n659 2713\n5471 5608\n7594 11343\n5133 7200\n5885 11305\n2397 5663\n4610 7718\n5422 8578\n2568 8476\n933 11969\n1059 2371\n330 4954\n4825 12052\n8947 10078\n6946 10148\n6172 7177\n2775 11121\n1000 5721\n1796 9179\n10256 10643\n1468 8511\n5376 8737\n6416 10238\n121 8327\n7875 11373\n5581 6616\n2041 3142\n2504 2583\n11 10428\n4984 11291\n641 5326\n3210 9440\n10632 11062\n4560 10335\n2117 6850\n500 3893\n5169 10040\n2034 5831\n6066 11540\n3712 4296\n589 4381\n1170 7871\n1009 4414\n2956 10475\n1324 5163\n93 545\n2870 3045\n7569 11975\n3038 9256\n3223 8353\n3353 9095\n7808 9125\n2815 8205\n4425 5566\n4459 5099\n3065 11760\n5434 10209\n4474 5687\n159 5531\n5172 5935\n1922 6751\n7671 8795\n856 4798\n8204 10806\n2634 11990\n1730 11212\n1260 6612\n1214 7812\n7597 9085\n3292 9885\n948 4569\n6222 7836\n6959 9281\n2913 10477\n5019 8619\n9270 11611\n6875 11951\n2420 11159\n4365 8037\n4805 9809\n79 9549\n6035 10712\n8962 11344\n3583 6853\n7151 8243\n2416 8030\n6362 6450\n1506 5267\n3772 6919\n4977 8811\n1460 2957\n3883 11450\n9191 12057\n1094 5093\n3283 9621\n6437 9620\n256 8957\n7534 9850\n4941 7128\n3920 11064\n2795 7886\n1141 4831\n425 5220\n7124 11569\n5252 11895\n672 11063\n818 9216\n548 11468\n3824 9680\n705 2053\n9159 10732\n5224 7792\n2436 4115\n7040 9374\n8047 11005\n6889 8723\n8508 10824\n8366 11761\n7460 11669\n1985 10908\n694 5252\n3690 7438\n1452 4896\n325 10525\n7814 8763\n7102 11527\n1048 5691\n3316 5338\n2952 12102\n8895 9009\n3272 5971\n9313 10396\n2193 3657\n4929 9823\n4326 5510\n2998 11051\n921 12149\n8142 9361\n976 6020\n2848 11614\n4431 8699\n81 9564\n3330 4386\n356 948\n10226 11224\n10132 11490\n4538 7133\n4703 6913\n4732 5867\n9750 11207\n151 3926\n9532 10306\n2440 5066\n1114 5163\n3603 3932\n3877 11558\n4467 6295\n6478 11964\n779 6713\n3665 11715\n5196 9622\n5592 10083\n218 402\n8161 8691\n1506 2417\n5045 5440\n6365 7876\n3888 7900\n1903 6322\n1870 11845\n2075 6888\n2329 6969\n999 2068\n390 5953\n4301 6242\n6472 7204\n58 2143\n355 11847\n164 8457\n2101 6009\n9801 11110\n6717 7146\n4967 5881\n3223 5829\n7115 9826\n860 11502\n5357 11633\n3790 7206\n2714 10885\n4772 9109\n4945 11934\n2733 5815\n6994 10952\n1212 9632\n420 6652\n2913 8444\n6032 11319\n8599 10956\n4443 5294\n5699 6082\n216 2425\n4370 6967\n2340 4171\n5184 8645\n5602 8434\n8531 10935\n5801 10200\n6304 7311\n9186 11252\n2074 3396\n1448 4798\n5034 9554\n1584 10442\n405 6576\n413 1166\n3606 5985\n702 6495\n2881 8343\n1512 3411\n80 5345\n1224 3967\n5526 8196\n5314 6905\n116 1989\n989 5253\n2034 6722\n2461 11164\n3367 10462\n4910 7781\n7 10296\n3535 6985\n1196 2515\n7341 8910\n2013 5760\n1770 7859\n580 6341\n430 2920\n5721 7979\n9583 10457\n712 4486\n3402 4295\n2657 6240\n455 905\n8202 9247\n4492 7862\n5452 11537\n8504 8555\n4655 6990\n11536 11663\n6161 10261\n1422 3915\n1642 3708\n6422 7329\n4047 8728\n1438 5839\n6703 11488\n6266 6277\n2314 10633\n160 3446\n9996 11039\n2384 9845\n6281 8514\n1856 5008\n2939 6951\n6643 11344\n3019 11527\n7781 7930\n1878 5154\n1968 2445\n2526 3644\n1493 11248\n2042 5229\n4475 5335\n213 4277\n2692 9959\n4558 9156\n2294 8580\n3482 8002\n9137 10712\n409 7717\n3660 7255\n6236 12097\n917 2775\n5089 7058\n2714 8080\n5102 7564\n3223 10665\n1220 8543\n2290 5409\n1669 5575\n3552 3819\n6299 9182\n2434 5042\n11071 11205\n4031 4651\n1517 7847\n7212 9668\n6709 7746\n7596 9972\n10477 11150\n2930 3500\n1571 10362\n4160 9281\n1108 3707\n10060 10237\n4094 8604\n10557 11217\n3920 7681\n5979 8078\n413 8859\n3627 5101\n8683 10135\n4178 10899\n1039 3170\n3303 8876\n3141 9178\n801 3814\n7612 10089\n3784 6382\n192 4214\n5853 9493\n2542 11962\n6915 9034\n4163 12015\n6713 9732\n10116 12146\n1251 1501\n4303 12066\n4535 11050\n2015 6714\n6061 8290\n8094 10424\n4836 11138\n2000 9834\n179 385\n11727 12168\n4176 9043\n5370 9372\n10163 10620\n11520 11676\n7507 9301\n2661 9682\n6392 10336\n1251 3594\n7656 7684\n501 9137\n525 3465\n5214 7758\n4682 11498\n10032 11187\n2775 3282\n5527 7724\n5346 8500\n5142 9906\n4317 10775\n1558 4462\n1269 8879\n5802 10119\n6801 6828\n230 7936\n592 10000\n2279 8259\n6326 10315\n300 2150\n5229 8418\n3824 4419\n3885 11483\n6848 7759\n5442 11119\n2282 4269\n7365 10985\n1946 10691\n1466 8841\n11401 11788\n291 10756\n5385 7340\n2000 10740\n7381 10531\n2950 5731\n2241 7561\n6912 9679\n5519 11682\n5768 7393\n1646 9383\n1094 10092\n3619 10769\n9637 9718\n7448 9421\n337 2925\n288 1260\n6577 6720\n1030 9722\n2140 12169\n3646 3904\n8186 9501\n4021 4087\n2980 9527\n6210 7568\n17 8064\n1301 10620\n807 11293\n874 7918\n1672 2116\n3039 5939\n4134 11412\n568 2869\n1081 6762\n3222 9246\n10908 11503\n6374 10435\n5062 5517\n3288 12069\n5913 11141\n4015 6755\n583 1798\n1574 4138\n4540 12049\n3057 9508\n2568 5519\n6008 7811\n5734 6445\n4403 6710\n1509 3182\n3736 5329\n1142 9901\n5237 7949\n3555 5496\n3140 4011\n5484 6201\n1477 8877\n1948 12171\n1137 8296\n2007 3559\n1961 11310\n3032 9166\n7631 10364\n8842 11357\n428 6279\n2936 12181\n4611 8825\n5726 9114\n2410 8224\n240 10822\n4368 4930\n9944 10241\n5012 9260\n6251 6412\n5263 5752\n9845 11563\n3519 10277\n4217 9334\n2932 4576\n6638 8608\n5999 10785\n947 4675\n1007 8147\n336 5316\n63 558\n2621 3275\n2716 7372\n4501 11820\n1165 5260\n3060 11354\n640 2849\n10528 10866\n2405 9885\n3359 10004\n3622 8531\n613 4080\n7051 7876\n11286 12134\n1405 1422\n4337 8075\n242 10936\n4154 11923\n5890 11917\n5226 8835\n6902 9538\n1306 3915\n6750 10128\n527 6184\n10023 11623\n6201 8401\n6222 10798\n3575 6462\n4640 5358\n2275 10840\n7251 10441\n5216 11951\n219 4273\n9377 9385\n2470 4066\n4244 5512\n4893 5421\n8517 11759\n4616 4792\n2619 3340\n10195 11813\n6416 10248\n424 1203\n7463 7547\n2018 11553\n5128 10546\n9013 9712\n10009 11657\n1172 5795\n2426 9579\n7465 11673\n1444 2704\n5225 9079\n9051 11572\n4640 6214\n4607 6437\n3296 6563\n211 5481\n10032 11419\n9076 9844\n4741 9771\n9314 10929\n4150 11735\n684 5123\n4100 4991\n3847 4894\n4693 6905\n2380 11813\n3316 8256\n5718 10465\n6022 6179\n1350 9407\n6259 11177\n6175 8917\n1479 9041\n8343 8410\n3362 11879\n842 1626\n6194 10830\n1480 6318\n4477 8928\n1256 8454\n4188 7181\n11046 11073\n750 10048\n270 2776\n1807 10460\n8204 8911\n4241 11662\n887 8067\n2510 5182\n7506 7933\n3662 6290\n11040 11630\n8042 10799\n2257 4988\n2714 11936\n2957 5493\n8090 10517\n577 1502\n6495 7266\n8928 9621\n286 5638\n10001 11804\n9357 11830\n895 6011\n9923 10185\n9317 11835\n8075 11336\n8562 10989\n4311 6357\n6308 6583\n6183 8552\n2203 10759\n1053 6196\n8129 10270\n3127 3632\n6122 10406\n2014 9932\n1219 7477\n10508 10719\n5155 7428\n6989 7962\n1333 4241\n655 7840\n1672 9475\n270 2030\n6212 10814\n4038 7637\n5574 8204\n818 6820\n6936 7258\n2475 3962\n3282 6457\n59 3722\n1876 7255\n288 8677\n4219 5270\n557 7184\n1524 8349\n2764 4577\n95 5900\n2410 4349\n1588 5805\n746 3717\n6023 10200\n8565 10257\n3657 8737\n1542 10373\n6145 9939\n5465 8557\n4091 7908\n10105 11661\n6834 9852\n5627 10495\n997 7096\n2807 3824\n3521 11269\n8188 10542\n7514 11183\n3895 11155\n3135 6221\n3824 5472\n2182 9804\n122 8069\n8723 11292\n1941 11868\n5051 11203\n7803 11808\n3725 4518\n2859 8324\n2994 9140\n707 1134\n3917 9727\n98 7059\n7257 12184\n3527 6849\n7454 11259\n2643 8223\n1907 5844\n2271 2440\n5282 7045\n4914 11948\n1860 5307\n8191 8215\n7857 8604\n6204 9392\n1548 11796\n7602 10334\n2311 5338\n8181 10079\n3850 11049\n42 10391\n6656 6762\n6396 12101\n1880 3281\n6111 7671\n4225 9803\n8341 10548\n1901 11618\n6543 11159\n8517 10978\n458 9330\n11738 12084\n5250 7101\n1179 12120\n1306 8912\n2055 10905\n9242 10614\n2193 8448\n5985 11833\n1132 5776\n6261 9896\n7228 9785\n4067 6690\n4794 8630\n332 12192\n4030 11004\n2785 8538\n1788 11192\n2609 11370\n1473 7146\n3556 8661\n4233 11293\n1810 7933\n4330 8214\n8679 11143\n7855 12113\n2172 4255\n8873 9148\n3666 7302\n472 10194\n567 3061\n2657 4698\n10259 11647\n641 7081\n3126 10091\n1237 1998\n3502 6567\n1673 9293\n2244 6700\n1282 8519\n4756 6922\n127 191\n3591 9474\n3602 7508\n4246 6211\n2346 9801\n143 7037\n185 8113\n2108 5799\n4368 10236\n4572 11978\n7494 9509\n44 5678\n8274 10526\n2481 4449\n7347 8603\n1625 2739\n6629 10209\n2490 3695\n6080 7608\n1618 7274\n522 11596\n104 8591\n3598 9140\n7599 11872\n4126 6455\n7109 11879\n1772 6885\n6735 9942\n3578 9321\n5529 6949\n2416 6409\n10589 11888\n4278 6066\n7420 7943\n2015 5217\n5289 11686\n926 9102\n9541 10199\n1381 8813\n3608 7465\n5860 8696\n532 6608\n2822 10016\n3604 4261\n61 1895\n1729 8482\n787 4109\n2177 12028\n1952 8403\n5820 7762\n398 10180\n1232 3234\n7 10841\n10742 11323\n2753 8320\n82 10088\n5057 9530\n4702 7601\n8358 11478\n1738 4254\n4087 12088\n764 1371\n2415 10174\n1864 8569\n249 7132\n2835 12080\n3257 5921\n2392 5836\n2271 10388\n9754 11656\n1869 2928\n4655 8124\n1601 11879\n4070 12108\n207 1375\n6795 10318\n5417 6098\n3678 8684\n645 10752\n2568 6524\n1462 11662\n9910 10888\n1339 3953\n4724 5748\n8008 8840\n666 954\n4659 7197\n2473 6228\n2426 9321\n981 2974\n3692 5453\n3907 9121\n290 6110\n1462 4977\n5643 8637\n8454 11449\n2771 6624\n128 7787\n7577 8940\n3531 9663\n6504 8100\n3679 8288\n2136 6267\n523 4601\n2395 5474\n3890 5354\n1089 10665\n1909 9139\n4024 6554\n3029 8266\n2939 8751\n2191 10132\n8458 10032\n2729 8040\n1910 5922\n8145 8921\n6369 9452\n1714 7269\n585 2124\n840 10573\n9472 11796\n3027 4719\n7527 8242\n4827 10082\n1877 10681\n3116 6840\n5417 7456\n8577 10997\n3114 5297\n1005 10519\n8982 11884\n8728 10120\n6213 6787\n878 6665\n1207 9131\n5257 12149\n644 1472\n2901 7055\n8196 10555\n678 2474\n3105 3920\n2012 11711\n6640 10121\n573 3486\n1780 10922\n3586 9043\n2772 4210\n1087 6961\n830 10007\n690 4996\n6487 10869\n1234 3236\n3223 4323\n2562 3236\n2067 6737\n601 10073\n8047 11033\n9075 11135\n919 11596\n8927 11503\n8073 8622\n6669 9053\n2117 4895\n265 9070\n3237 9369\n7828 12123\n5585 10809\n6808 7672\n6813 7498\n151 1318\n2437 6422\n239 932\n5192 10937\n4954 8657\n3040 7163\n309 8749\n3875 4970\n402 1223\n7527 11466\n3956 9663\n136 2275\n880 3103\n7390 9892\n6849 7129\n1771 6107\n6588 10879\n1275 3489\n3138 4043\n4562 7618\n882 8582\n1624 6896\n3613 5800\n55 9845\n1330 8209\n6163 8602\n3726 5815\n2034 2484\n737 9920\n1859 5271\n1497 7052\n1370 3758\n7225 11063\n4928 9817\n11510 11910\n10097 12130\n6750 12175\n5 8435\n527 9027\n2378 2654\n483 5848\n4547 10387\n1136 9034\n2908 5781\n8937 10330\n4114 6271\n3347 11428\n1281 11212\n5582 11669\n800 7011\n4732 7958\n2348 6159\n7730 11030\n868 6858\n7237 9095\n6382 7055\n2801 4884\n7235 11170\n3927 5155\n5375 11498\n345 910\n2979 6473\n260 4186\n2998 10682\n1361 4918\n3050 9808\n3376 10355\n295 1616\n3162 11227\n8625 11775\n2029 4116\n1929 8501\n10710 11600\n1015 6990\n5085 9779\n1136 5943\n7390 10295\n4188 8736\n1603 11471\n5115 5165\n9360 10508\n5485 9931\n2822 4090\n2327 8647\n4262 8064\n2399 10029\n1499 7461\n2363 2515\n3472 6496\n7172 12178\n10164 10343\n466 10422\n603 11275\n4722 7507\n6035 10357\n8233 8938\n2707 7657\n4030 12016\n6896 11790\n11746 12186\n1376 7640\n7709 11491\n3990 4019\n5656 8766\n10445 10648\n7645 11790\n245 7161\n8695 9497\n1395 4394\n4111 11027\n4859 7551\n6199 10278\n3178 4247\n2289 8087\n5776 6489\n4904 9634\n3700 8548\n1513 5936\n2375 10877\n1577 7107\n1475 4130\n7369 9861\n1523 3595\n5961 11390\n2258 10179\n6426 9148\n4770 5685\n7783 11400\n4755 9152\n927 10425\n401 7257\n467 11347\n1515 10878\n2532 6744\n293 8639\n5602 7046\n4840 12038\n7104 10055\n8280 10004\n7776 12110\n1040 10948\n2229 8553\n7351 7609\n1621 1855\n3752 4692\n6725 9512\n15 12081\n11165 11637\n9794 11869\n4910 10423\n2353 10919\n2351 6660\n730 1528\n602 2232\n7353 10030\n104 1881\n4484 7811\n5616 10000\n3506 8807\n6720 8408\n10868 11707\n722 10160\n941 7682\n1109 3067\n6419 8179\n3073 11718\n2109 6543\n1852 6936\n5509 10282\n4 641\n2627 9301\n7612 11556\n1913 5190\n3404 5562\n1658 10123\n7798 9283\n174 10131\n2061 9030\n8865 10943\n4332 10295\n28 521\n4304 5706\n223 9283\n9304 11280\n7390 9916\n919 8619\n6590 7346\n9485 10998\n276 8128\n2330 2786\n247 4514\n3562 5792\n2003 3655\n4011 9773\n9495 11959\n3089 11244\n9154 10344\n7438 8466\n4734 6791\n2430 5648\n784 5501\n1620 6616\n8425 10495\n3928 6401\n8140 9253\n1920 11172\n255 749\n223 12075\n5775 7634\n11183 11226\n6368 9188\n2223 6939\n5691 10658\n4171 9229\n1942 3165\n2126 6851\n158 1438\n3498 6903\n848 2164\n4389 12149\n2877 9550\n8524 9191\n1036 1632\n6703 12056\n7506 11837\n6332 11010\n9428 10225\n8225 10093\n1769 9649\n3065 10967\n5639 10725\n745 3135\n755 9429\n5356 8631\n1321 8179\n2704 2884\n791 5595\n2235 2898\n3039 10283\n160 7697\n4592 8648\n7499 11355\n2102 8140\n618 6366\n8737 10165\n3971 6985\n838 10007\n7353 9144\n6029 7443\n1491 8379\n4575 8140\n2025 5364\n11494 11495\n2157 3207\n4074 7244\n6174 6827\n926 10170\n543 5648\n3432 11554\n4323 10121\n1143 1897\n8892 11337\n8043 11508\n999 8496\n6543 7297\n4553 8427\n4578 6660\n6418 10972\n6856 8022\n1846 7617\n4941 6525\n2557 8669\n123 11955\n2913 6537\n278 1921\n5648 10044\n7836 11234\n5697 6016\n749 7807\n1077 5559\n1819 4669\n4857 5665\n1399 7829\n3381 10674\n2976 10227\n7964 10805\n132 7555\n1210 6115\n3740 9035\n4803 6324\n4169 9375\n5953 9032\n6410 11695\n1128 4394\n3069 4262\n2209 11619\n2666 5536\n4931 11855\n8426 11470\n2314 10109\n5604 11807\n6380 6934\n2501 8215\n1711 9210\n2898 3272\n7220 9583\n11535 11581\n1463 1970\n8137 9628\n6500 8291\n1103 10706\n946 3790\n5111 8050\n4554 8267\n5871 6246\n7762 10909\n3337 7325\n940 1576\n5491 8247\n10235 11373\n5584 9706\n8834 10503\n6760 9630\n259 729\n7858 7981\n1483 5812\n3699 11143\n6460 7416\n3137 11270\n5420 12143\n10875 12061\n3955 5256\n185 5873\n981 8877\n2901 11227\n10586 10629\n2038 9434\n241 10467\n3148 6663\n18 3792\n8107 12111\n2540 7802\n3876 9958\n2514 4832\n9381 10091\n1631 10406\n2510 4713\n7789 10345\n84 9335\n6659 11260\n4094 8065\n3637 11830\n1017 8240\n2501 9643\n4207 11267\n3843 6392\n3375 10660\n7063 8195\n3003 7285\n347 7756\n3661 8924\n1463 4013\n8359 12139\n2528 7326\n3205 7264\n11732 11945\n4475 7149\n429 6816\n3421 5247\n4989 5466\n1020 9913\n9510 9944\n8436 9980\n1543 5863\n2099 6830\n2056 4271\n5958 6546\n2915 5529\n780 2091\n8996 11743\n1617 2941\n6397 11160\n555 1230\n907 11482\n4756 9502\n5938 10053\n1459 3997\n5507 9566\n5223 8020\n5010 9866\n5081 10850\n1792 10955\n1282 7715\n1495 6542\n3915 9568\n3810 6742\n1843 10637\n812 6543\n6406 7251\n6541 9457\n6160 7618\n8715 12081\n558 9184\n3870 3950\n6417 6962\n3025 9272\n2488 10504\n3208 8425\n7538 8370\n4822 7928\n4939 7679\n3956 8392\n246 9922\n2258 8800\n2415 7097\n5355 10955\n7756 8629\n4378 10873\n6655 10820\n3379 11088\n3284 8057\n8904 10909\n4858 5628\n4834 5742\n1057 7349\n3662 11248\n1394 5256\n5304 8910\n4296 5976\n1672 5842\n2696 11889\n6227 8191\n6348 11074\n1641 2037\n7099 10147\n5991 6002\n2068 4054\n4826 11089\n668 1093\n6109 11719\n517 2078\n721 6324\n5325 5373\n3009 5563\n5628 6343\n4142 9921\n7830 9655\n671 8817\n2459 10208\n1162 6853\n1380 10135\n951 8467\n4560 10635\n2407 6427\n4004 8022\n10278 10393\n1528 6501\n2349 6838\n2825 3200\n6840 12180\n453 1514\n1965 8598\n6747 7636\n116 4811\n6464 10586\n5757 6432\n4616 5789\n6826 7672\n5883 6263\n3138 3802\n760 7911\n1282 3030\n765 5837\n5788 8290\n4666 9656\n7608 10681\n7813 9965\n3050 7596\n4810 8092\n413 6867\n2999 7626\n1897 7089\n8546 9079\n401 10112\n103 5286\n2890 7605\n4303 11992\n4214 6429\n8332 9307\n3229 11138\n7219 7552\n1394 5294\n809 12151\n5705 10612\n5798 5999\n1665 2824\n2193 6596\n3776 8670\n7385 10802\n3829 8864\n7180 8563\n6058 11333\n5727 8658\n7358 12102\n4678 9970\n394 4181\n5986 7333\n747 3239\n5886 8126\n3360 10954\n5972 8275\n6223 6773\n720 2847\n7130 10794\n198 5839\n7827 9182\n8084 10799\n409 6557\n2057 8296\n42 10044\n2187 3641\n7698 11227\n1791 3677\n4002 5093\n5785 10189\n309 2800\n1547 11541\n3549 8650\n5456 7879\n10045 10606\n1188 1842\n6650 10494\n6411 12130\n5608 7338\n263 1576\n2480 9104\n3187 11647\n3622 11489\n1418 9067\n1880 2928\n2249 11303\n5900 6203\n458 5599\n134 8884\n11247 12046\n1467 11740\n2413 8817\n7226 9010\n928 6091\n3604 3723\n300 4861\n8470 8894\n6665 11448\n4887 11326\n4568 11358\n6767 9130\n5200 6017\n4945 7459\n2263 10719\n2501 6261\n3440 9824\n2537 7298\n10816 11673\n3266 7209\n5608 8230\n8688 10407\n1097 9551\n7601 10210\n3929 8864\n7264 8502\n4081 7337\n629 4421\n5783 8406\n2265 10577\n285 7096\n2751 5066\n6360 11551\n4455 10015\n4266 10142\n671 7556\n3555 3979\n4255 9506\n8130 10143\n4108 7966\n2373 3559\n2692 8628\n7792 9866\n1131 8391\n5738 6134\n223 1526\n7511 8393\n9648 10966\n1240 11680\n6033 11724\n8924 9596\n4649 6710\n2200 8783\n4926 9506\n2415 9413\n1231 6594\n2780 9130\n2625 12134\n1311 6739\n4143 7381\n755 2921\n1442 9397\n9271 11847\n1784 4381\n2787 10470\n2970 3902\n4000 10781\n7149 9845\n3918 6601\n4302 6715\n2894 11479\n129 8584\n6503 6610\n694 7118\n7938 9649\n3832 5396\n7095 8450\n4510 7227\n4421 10682\n4332 7216\n2612 4852\n1236 12170\n3716 8411\n5089 6195\n2470 9515\n489 5272\n7879 10939\n3806 10128\n4160 4923\n8320 11949\n3639 5552\n9590 12115\n3270 5712\n2306 7777\n6523 12064\n9843 11764\n356 2296\n1854 2431\n3526 5003\n5264 9023\n1982 9839\n2341 8608\n968 1243\n4599 7064\n1106 12103\n1884 9261\n10310 11011\n2079 10098\n6042 8502\n5484 10713\n2379 2428\n3108 8673\n2004 3642\n2744 8279\n6256 9754\n2109 8668\n6473 10352\n3504 10513\n969 6280\n1960 9533\n1509 8628\n1087 5922\n4690 12028\n5874 7475\n1652 2435\n571 3719\n2290 10489\n8562 9361\n5032 11603\n5991 10097\n3406 6133\n1845 6350\n1609 6499\n3776 11815\n10792 11241\n9033 9876\n239 8166\n9023 9777\n2824 10206\n3600 5342\n4239 11041\n5729 10313\n9143 12065\n5309 6037\n9933 11506\n1100 9193\n4700 7417\n9692 11668\n7050 7798\n3350 8159\n1796 2529\n8720 11250\n7305 7470\n3800 8017\n7901 9841\n9174 10299\n3206 4600\n1624 11767\n6896 9417\n6097 12104\n7203 11527\n67 4774\n7262 7270\n5155 5761\n2727 6142\n6830 8562\n3399 10133\n841 1516\n3499 7251\n964 4870\n3856 10036\n9683 11057\n1059 11627\n5063 8481\n1995 2394\n4076 10280\n5469 11249\n1244 12137\n1778 2281\n3255 5526\n1748 11448\n3568 11148\n118 6394\n11817 11880\n7057 11369\n5137 11495\n7287 9065\n588 12100\n4256 10620\n1134 8711\n3879 11715\n4916 9565\n586 3063\n931 4015\n1487 2066\n6691 9011\n720 2458\n2351 2547\n1633 9351\n1440 3344\n1078 1097\n2135 11699\n3085 7737\n10955 11597\n2694 6935\n10109 12143\n10765 11325\n79 5399\n6605 10241\n3097 4307\n4880 11052\n6768 10529\n727 5395\n6014 7781\n4356 9886\n1064 9068\n5494 10191\n6577 7725\n2959 6516\n5519 7484\n2958 10729\n3400 4358\n292 6465\n4706 10859\n2420 10905\n1950 7072\n2420 7578\n6571 8990\n5850 9143\n1136 6744\n2523 2929\n5319 7302\n259 6167\n5846 11706\n3293 10016\n10526 11365\n2316 2592\n330 2676\n592 6899\n4761 11339\n5171 11023\n2264 12047\n4460 6527\n7406 9314\n8248 8819\n6953 9287\n3700 5688\n3044 11415\n5617 6243\n5825 11722\n7624 10651\n4869 11918\n5152 6231\n1512 9526\n317 3098\n224 4266\n2674 7962\n1652 9005\n8468 9778\n1562 7794\n6117 6682\n6513 12196\n3017 11878\n1792 10336\n3417 9184\n8000 12161\n2806 5296\n10534 11408\n4654 11162\n3988 10952\n2529 10090\n5634 6688\n4256 9309\n470 5902\n6564 6900\n2588 3517\n3647 5931\n2937 6070\n215 6166\n3177 6720\n6061 6706\n6030 10803\n197 1583\n503 9032\n109 11914\n2248 10793\n3216 4267\n2605 4675\n4825 9834\n5297 8880\n933 5522\n5591 11974\n2744 7716\n2774 4109\n10140 10563\n3152 4608\n2026 9356\n8704 10868\n1093 5416\n2608 3868\n1748 5482\n7572 10856\n50 5487\n5007 8631\n5657 5885\n2017 2356\n8814 10518\n2338 6532\n5458 8229\n6864 10100\n2339 11436\n148 4069\n3256 11536\n322 5342\n725 11118\n1359 11998\n331 10403\n6997 8909\n2682 11939\n11101 11676\n7612 12055\n136 10079\n7626 11233\n3028 4747\n6280 11002\n5725 9984\n1809 1878\n385 1386\n2754 2832\n6867 8499\n861 7420\n4814 11181\n5189 7598\n447 982\n2163 11014\n7824 8778\n3773 4892\n9213 11242\n5731 9291\n1080 11645\n779 8434\n355 4196\n1796 4330\n733 8371\n3101 9751\n2733 11706\n563 4193\n6651 10200\n3231 7840\n242 9630\n8595 8975\n8218 10687\n3266 4337\n8252 8645\n2760 9925\n6437 9610\n4457 10795\n1095 3884\n6104 9337\n1726 2435\n520 10181\n566 5531\n1668 5654\n1730 8975\n3614 4368\n16 4895\n1147 5366\n2487 7176\n7003 9282\n3663 4103\n8229 11674\n7580 8405\n955 7740\n1199 8017\n4481 11208\n3709 9424\n452 10704\n9018 12019\n2229 4652\n4174 11942\n2035 2871\n4948 5888\n4670 4733\n6270 6864\n4643 5671\n6077 11670\n1325 8969\n1805 4980\n3974 9367\n4126 10083\n8161 8465\n635 6995\n8697 11298\n10652 12191\n8258 9874\n631 7787\n1026 5064\n3956 9546\n5693 6956\n947 8683\n3716 9508\n3362 3570\n730 9829\n5011 9822\n2024 7307\n4229 10498\n2532 5302\n8897 10295\n7010 11623\n1821 5358\n5892 6482\n3774 6985\n480 11466\n1423 2611\n2519 3343\n167 6547\n7678 8222\n5360 11247\n1141 1399\n9949 10425\n2464 7579\n965 7974\n2595 6160\n423 1455\n7355 8039\n3533 4833\n470 5412\n6798 7499\n6338 7039\n4515 11065\n3506 3817\n228 2223\n1922 8917\n4592 5493\n2691 4566\n4639 9096\n5435 6610\n2123 5276\n3416 11231\n7081 9849\n11426 12096\n11716 12064\n5596 6653\n7097 7729\n3446 10417\n2207 8489\n5566 11490\n274 480\n5308 8527\n365 7850\n631 10624\n5316 6942\n707 6014\n6771 7806\n1932 2219\n1142 3390\n1035 8372\n4011 5320\n5828 9486\n1812 10908\n9197 11221\n6346 8487\n10190 11265\n1532 7831\n10203 10316\n714 6226\n76 7291\n9434 11050\n1200 5180\n7129 10547\n1201 2568\n4459 4663\n7501 8711\n2990 4692\n715 6689\n2036 9739\n8658 10168\n5377 7253\n3151 9637\n1975 9735\n1914 10709\n829 7372\n6032 9211\n7447 8595\n5612 6136\n746 11842\n1645 11844\n3172 6016\n350 10234\n6446 11545\n5123 6682\n4578 9310\n8216 10985\n8485 10892\n956 1074\n8393 10344\n1888 3134\n8106 9916\n4240 10872\n10393 11326\n8283 9962\n974 7512\n5099 5876\n4828 9726\n9826 10960\n7855 8858\n1848 8171\n5075 7216\n217 2089\n3369 7101\n2090 3100\n783 5052\n6839 11950\n6389 8287\n19 11435\n2863 8139\n768 4816\n3738 5702\n8181 8604\n4270 7288\n2722 6936\n381 9632\n4520 12026\n2773 9871\n9780 11888\n468 5845\n4506 10330\n2712 11492\n4881 9378\n6138 9739\n5674 11171\n6127 10538\n8539 9274\n6300 9381\n2239 7476\n8746 10776\n7965 9808\n1338 5430\n833 1379\n9300 10166\n6247 7338\n5498 11764\n6941 7536\n3128 8242\n6973 11083\n7778 8591\n1147 9463\n6094 7511\n6860 10245\n4909 7110\n5294 6211\n1107 4515\n1268 5112\n2807 4753\n8479 9503\n5570 7045\n6857 8321\n2925 10986\n507 8066\n3903 7159\n326 5995\n7123 11984\n5054 5975\n6372 11287\n2595 11249\n467 2200\n3243 3730\n1768 10960\n4157 6282\n8151 9548\n6277 7819\n5629 9867\n8190 8755\n8409 12048\n6332 11426\n5841 7305\n2675 8943\n8911 9278\n34 10399\n2728 3646\n9229 10478\n10936 11141\n6625 10782\n4765 9407\n2905 7707\n1746 6600\n1609 3189\n5406 6388\n356 4808\n2739 12054\n9064 11588\n4937 6154\n10489 10780\n69 3620\n3354 4548\n4290 5004\n9511 11193\n2047 4264\n8084 9792\n7326 10622\n2727 4440\n1959 4017\n1630 3630\n3686 9651\n5683 10783\n5200 12193\n1488 2810\n759 8777\n1472 3756\n3142 4600\n364 8838\n5061 11786\n5396 10270\n4854 8009\n3082 3547\n1826 6757\n852 2633\n4201 11481\n1280 6040\n9522 9704\n7164 9436\n5401 10383\n7703 9384\n6397 8370\n2761 8433\n4737 8120\n339 4796\n1227 11432\n3997 5306\n6872 7920\n7353 9055\n7189 8954\n7078 7517\n2816 2872\n7693 11824\n286 2562\n340 2732\n2822 6622\n2440 7808\n1490 11949\n7788 8390\n1405 5323\n120 6867\n4045 6174\n1557 2081\n4723 4771\n244 10866\n6802 11032\n1076 5395\n433 9225\n5387 9126\n7417 8740\n1185 4193\n3849 11701\n5846 11819\n100 9899\n3102 10749\n3054 12012\n7816 11784\n7397 12076\n1255 9013\n8490 9755\n196 6310\n10188 11194\n9237 9655\n4759 8091\n4312 11390\n38 1580\n6456 10134\n8252 10495\n453 7987\n4285 11446\n6122 7421\n6060 6717\n678 9484\n7117 7975\n3244 7292\n1789 2045\n2484 6667\n5956 9738\n1164 5907\n657 5073\n2431 8751\n5776 9898\n1535 2309\n4152 6571\n1750 11252\n1294 5093\n4550 7180\n6778 9967\n164 7434\n4728 11002\n6754 9613\n8065 12190\n1211 11583\n71 4346\n151 11023\n465 11440\n3260 10727\n3362 7319\n9859 10671\n2794 11897\n2371 5332\n8447 12122\n8723 8876\n5588 7434\n5613 10667\n2761 9811\n3090 10729\n4025 8938\n1589 10889\n4240 5266\n996 4047\n75 7089\n2656 7322\n6619 7186\n2849 10099\n1318 11960\n67 10450\n166 11151\n823 4252\n996 2118\n1246 6534\n2501 11779\n1985 11715\n1090 3855\n1586 7786\n2669 8185\n5307 6378\n969 11107\n9229 10616\n3317 9750\n1128 9025\n801 8680\n2459 10173\n5913 6469\n7396 11699\n7764 7790\n1013 1166\n6498 12028\n1858 11854\n6456 6679\n6208 10073\n5762 8581\n1222 8149\n963 3043\n1093 11051\n9835 11633\n4037 8252\n1955 10121\n102 394\n6361 10800\n68 10206\n695 4309\n3431 4411\n1323 6000\n6540 11529\n4404 6383\n1324 12086\n4573 11290\n5674 10061\n698 2100\n11332 11860\n10693 11464\n2962 7416\n5508 11861\n1805 7108\n3788 11099\n7058 7720\n2837 9861\n1721 6096\n2568 3981\n3130 6531\n6184 11967\n617 11100\n8340 10940\n4114 10487\n5088 8879\n5046 5278\n2841 10670\n2831 9180\n3065 7413\n302 4744\n4669 5623\n8050 10359\n9737 11249\n2925 10476\n10815 11127\n2521 8181\n2590 6671\n9907 11457\n3342 7656\n3893 8708\n6219 11359\n766 5591\n5650 6175\n9484 9844\n2365 2733\n5888 10645\n4220 5847\n1163 9874\n1951 6136\n4532 7185\n3930 10570\n2703 8475\n1404 8694\n360 9851\n3034 7561\n6017 6190\n448 1370\n7728 8489\n4261 10391\n5343 11822\n699 8013\n10026 11429\n741 9630\n6470 11035\n2637 7202\n10550 10994\n3009 4140\n3362 10174\n2507 9950\n824 5435\n7307 10765\n1273 11215\n3468 10945\n5257 6395\n2911 4082\n703 4223\n1364 5000\n2100 4547\n1002 10428\n6802 7297\n2177 5903\n3549 9858\n6696 7100\n2075 8831\n2264 2976\n3711 7173\n3582 4699\n3773 8742\n3887 7017\n2199 3386\n4489 9333\n4279 4859\n1756 9274\n4222 10020\n5007 9694\n1429 8414\n1976 2932\n1529 7782\n2349 7801\n7090 7761\n2375 9954\n1816 2872\n1609 3176\n3432 10273\n8759 11637\n3412 4681\n4668 11184\n6783 7517\n2438 5122\n7235 10695\n7270 9552\n411 1469\n8038 10565\n8252 10791\n644 5090\n9012 11676\n9022 10756\n1795 1864\n10049 12148\n6927 7311\n429 8488\n2725 10904\n7971 8259\n11305 11782\n105 3836\n8110 9278\n6914 9766\n1285 9882\n3662 7959\n7825 8424\n382 10713\n3114 7478\n801 6666\n8681 11240\n5412 9490\n5183 6316\n8881 11643\n213 8922\n2587 4494\n6951 7463\n2575 9802\n2788 10269\n5299 7859\n3691 7618\n3672 11069\n2767 5853\n831 8713\n4831 6846\n6780 8891\n110 11106\n2277 7214\n4937 7608\n144 1814\n3351 9754\n5206 6887\n9497 9931\n4648 7640\n5178 6090\n579 9728\n6497 10221\n9287 12140\n1815 11434\n4230 6040\n7388 8850\n920 9569\n344 2282\n1639 4556\n4687 10150\n1930 6361\n9239 11323\n6626 7805\n4347 6810\n1920 8353\n2228 8131\n5890 9141\n4536 6867\n270 4998\n8620 11130\n10802 11977\n482 902\n2093 2992\n1193 11724\n1900 4912\n1976 2781\n519 5616\n666 10138\n290 1793\n10826 11360\n500 2272\n3635 11941\n2919 8140\n1277 6660\n3429 3549\n555 7268\n2967 3788\n7144 10229\n2926 3168\n9356 11075\n998 3378\n3115 6193\n7591 11704\n6980 8784\n6041 9569\n3786 10764\n8106 10472\n6841 8319\n2963 4753\n1896 5371\n6199 9193\n5525 6211\n5671 10864\n3516 10203\n4072 6673\n9223 11616\n2667 11763\n9536 10978\n9252 9467\n7147 9688\n2764 8464\n1053 7403\n3540 9957\n3833 8194\n2278 8867\n8148 8844\n5877 10541\n4564 6938\n543 8594\n430 4267\n6180 8749\n7506 10720\n5169 8717\n4337 11926\n5612 8859\n292 3279\n4930 5363\n6089 12136\n3358 6933\n5596 9180\n4914 7173\n421 4242\n1715 6332\n2188 7945\n4010 5689\n3965 5266\n1506 4805\n8841 9405\n2037 2251\n1746 12144\n273 2607\n4009 9240\n2442 8612\n1030 4942\n4185 7869\n6480 9077\n53 71\n3556 11627\n6381 10094\n1998 2870\n4245 4794\n658 2672\n2122 3988\n4610 7115\n2047 4968\n10341 11511\n8207 8374\n3156 10718\n4166 8539\n8135 8499\n3002 6634\n1907 6219\n1578 5585\n2414 11062\n5217 6931\n918 9264\n4939 6596\n1530 1786\n6168 7900\n2105 3884\n5319 10642\n949 9813\n1104 7649\n2660 6479\n7404 10284\n3823 5298\n302 11818\n79 685\n7984 10309\n5709 6409\n5507 8483\n4548 11160\n10490 11435\n6056 10675\n2337 9222\n2874 6621\n5092 6961\n1088 4005\n2910 8426\n1154 6426\n11085 12193\n2631 5381\n148 3024\n5470 10056\n4555 8940\n1886 7420\n3795 5554\n3295 11115\n7373 8741\n10411 11811\n1786 7659\n2473 6729\n1530 8228\n1742 3055\n2464 2927\n8231 11914\n9883 11895\n2321 3246\n4646 9584\n11064 11158\n154 1444\n3816 6340\n1058 3390\n10583 10642\n3967 5936\n1930 4039\n520 6984\n8803 10457\n2777 10439\n7188 8858\n533 8396\n1049 11283\n1161 5502\n2644 8160\n1435 9330\n8403 10545\n8029 11712\n4176 10809\n5299 5720\n1730 11640\n2233 8687\n7980 10316\n3962 11134\n990 10894\n5612 12141\n80 7377\n8840 10211\n554 2736\n148 10773\n5568 6006\n5226 8450\n10300 10699\n9325 9603\n3627 11781\n589 10603\n5427 11588\n6753 9764\n6120 6804\n6054 8824\n1314 4205\n1599 6276\n779 2036\n7627 9024\n1681 8746\n1833 10031\n263 4897\n2814 5165\n3808 7833\n105 5295\n486 3497\n5964 8944\n1548 3564\n2090 5063\n7702 12068\n8721 10714\n1895 3734\n7824 8146\n552 1655\n8095 8334\n2781 7343\n2697 3992\n3436 9273\n5010 8221\n2403 3197\n4398 8760\n3828 5679\n5693 9046\n7812 7943\n8270 10888\n5550 6351\n3833 5505\n6808 8628\n3015 4164\n7310 8331\n6678 10634\n2489 2776\n1522 9081\n6070 10885\n7333 11576\n474 11601\n6941 11633\n3577 4709\n589 3076\n4556 8695\n7061 10262\n743 7296\n2989 4428\n2713 7574\n779 9228\n4493 6352\n715 11057\n6784 7408\n3066 9849\n2465 10503\n212 2681\n6574 6779\n595 9175\n3077 10028\n9410 10222\n2375 2869\n4601 7833\n3105 10874\n3997 11413\n7942 10565\n3291 6942\n8544 8824\n5079 10213\n127 4688\n3337 5488\n6461 9082\n93 7116\n6244 10385\n1760 11636\n3532 11326\n817 5198\n480 8921\n2660 11413\n2080 7720\n1080 5853\n1135 10824\n3751 11009\n1692 3184\n4952 7979\n81 3803\n4546 8393\n3457 7223\n70 10069\n2251 10941\n72 6356\n10959 11874\n1357 3488\n2133 3502\n7423 10297\n6433 7391\n6288 9493\n6431 7969\n1759 7224\n987 9707\n10731 11174\n4617 6408\n7000 9961\n11093 11492\n3532 9330\n2739 6327\n6016 7702\n8202 11942\n6669 11717\n1468 1795\n1421 10724\n1591 1977\n4678 11031\n2013 2210\n788 5704\n1739 6946\n232 8132\n2282 5804\n4563 5381\n9308 11866\n1126 5801\n2470 9442\n3954 4657\n5330 5684\n4772 10070\n4803 5259\n862 11553\n1154 5357\n1662 4061\n9222 10970\n85 4433\n2048 10966\n8860 10933\n1387 2741\n9281 10521\n1400 6562\n323 12174\n5740 8816\n9635 10877\n6446 10494\n2741 10073\n7942 10375\n589 6056\n822 6853\n3656 4404\n3197 4719\n3211 8077\n2246 11427\n4962 6335\n2375 9078\n2822 7391\n47 2809\n1545 10421\n3754 6622\n2019 11722\n841 5451\n4573 6349\n6842 11546\n1445 6281\n603 2645\n5763 7410\n1739 6317\n6701 11081\n3843 8134\n612 2402\n8825 11821\n10490 11802\n4900 8248\n555 7332\n1362 5832\n7681 10976\n4591 6632\n7890 9237\n794 2485\n3901 7335\n7705 9773\n1905 11826\n898 12190\n1868 6273\n4947 11505\n2984 5852\n67 7115\n10551 11758\n1970 10477\n2718 4120\n1759 9869\n8415 9579\n1660 11126\n1196 5794\n4163 5489\n70 1973\n5650 6052\n4398 6768\n440 7825\n4426 12011\n1123 6239\n1394 3448\n2271 2929\n1154 5787\n4218 9806\n4524 7086\n930 9317\n2774 2969\n5672 11967\n512 3415\n3908 5019\n939 10473\n7899 10020\n4125 11482\n2096 7086\n1737 6157\n6118 11734\n1868 4609\n834 11070\n9850 11793\n6237 10036\n6511 10077\n887 6170\n240 6147\n5590 11406\n7928 10631\n3517 11976\n1066 9935\n7147 10290\n3998 8398\n3814 12069\n6372 10079\n7204 10556\n303 1136\n7932 8487\n11426 11772\n5105 6923\n8156 11882\n6415 7845\n57 9493\n2361 8694\n8118 11439\n9743 10380\n1529 1744\n1583 3128\n3497 8760\n6854 11431\n5929 8471\n5107 9348\n2931 4382\n8658 9110\n780 5502\n8259 11114\n6193 11355\n3750 10384\n4062 6806\n2394 4342\n8090 11560\n7541 9070\n4236 11087\n3072 6130\n10749 11020\n4248 9269\n1161 8226\n1933 8419\n2155 9593\n2929 10759\n1353 7422\n4307 7401\n2121 7063\n886 11580\n3679 11246\n10875 11425\n7570 8599\n3907 11499\n1372 4235\n7095 8880\n2502 7777\n9390 11588\n2259 10619\n3286 6377\n652 5310\n7222 10398\n7833 12009\n40 8471\n1191 2148\n5766 11081\n2687 4698\n1734 4402\n2045 3232\n6479 7991\n9507 11152\n2945 3346\n5335 9714\n9201 10976\n93 2618\n5217 8587\n10257 10664\n3544 4967\n2670 9219\n2155 10238\n8070 8203\n10530 11655\n999 9112\n769 10239\n1964 7171\n572 3034\n3515 10489\n146 2407\n1909 8011\n8066 11060\n982 7712\n701 10800\n10026 10230\n587 2738\n662 6826\n8449 11546\n36 8489\n2708 3874\n4337 10932\n2108 10998\n4135 4493\n6691 9712\n2819 3239\n3267 7371\n1399 11150\n3093 4423\n689 8686\n2029 8801\n2091 7938\n468 4634\n1967 8083\n3779 7029\n2504 9279\n577 2535\n1328 11875\n3591 9398\n241 1953\n6565 9912\n7017 11066\n112 10615\n1800 11168\n10114 11440\n7721 8166\n2239 7553\n1511 5349\n3565 7080\n4281 5107\n10357 11870\n402 3101\n2545 6710\n1675 11875\n5828 8119\n517 7490\n450 825\n5266 10038\n5459 8244\n2058 3327\n8150 8329\n1205 8968\n6337 7748\n3939 9549\n764 7343\n1639 5947\n5151 10206\n4284 9258\n9489 11454\n6240 11036\n2775 9085\n1305 2508\n2344 3282\n7715 11361\n9545 10627\n10134 10345\n6738 8967\n2310 4817\n1211 9419\n2215 5047\n2510 4129\n2662 3273\n5581 11456\n1481 12100\n1661 2914\n3642 5472\n514 6940\n7892 8752\n1333 5636\n10818 11978\n9576 9811\n226 3582\n2255 11722\n9057 10792\n1016 4409\n7126 9417\n1544 5327\n1722 3489\n7004 7101\n1635 2210\n3882 9425\n652 5655\n2046 7672\n1502 1619\n4810 7558\n4023 11432\n3270 5108\n138 3447\n2097 5782\n3903 5438\n4618 7407\n3671 6910\n2977 11560\n4773 9610\n7564 11096\n1618 8746\n235 11036\n3785 4123\n3202 7201\n27 11894\n6502 9450\n4928 11311\n2954 5846\n2563 3568\n231 6187\n2394 2919\n7337 7517\n2296 2350\n61 12069\n7305 9733\n8393 8639\n4691 4820\n7293 7347\n1588 7177\n6917 10041\n4209 11614\n5308 11519\n3099 8710\n5221 7520\n2376 9839\n2484 8296\n2389 6950\n2782 6431\n3659 7785\n8119 11508\n2749 9114\n1100 8854\n9132 10140\n7522 10460\n3623 7955\n3310 7580\n2316 9845\n4068 7558\n6028 6735\n8688 11967\n2778 6884\n2241 2255\n3226 12116\n1677 3304\n4115 7108\n7940 11209\n1757 12070\n840 5366\n6270 8747\n3907 8853\n7005 8678\n546 6548\n7021 10979\n4803 8145\n8950 9913\n1535 6555\n5553 6406\n4782 11807\n1142 7027\n5439 7195\n842 12104\n2530 6082\n4607 8515\n2473 4064\n11233 12105\n5173 10188\n9063 11710\n5109 8937\n6369 11695\n3198 9523\n93 398\n3983 10199\n8226 8904\n519 10409\n2481 2616\n4960 11706\n4432 6125\n8123 9767\n2417 3572\n5737 9333\n2936 6276\n1320 3173\n2712 9560\n2445 3066\n5150 5582\n8235 11644\n7296 7554\n1871 11873\n10028 11473\n640 9778\n9746 10789\n452 11727\n5909 7354\n8399 10585\n4091 8414\n1797 8867\n5449 11542\n6875 10391\n3025 7578\n5812 6858\n7874 8103\n3828 5454\n5293 7885\n5092 10121\n3106 4395\n44 9035\n1115 1440\n7800 11567\n575 8217\n1216 4565\n7498 8329\n4501 11453\n7480 10562\n7300 9891\n396 1644\n11369 11499\n11511 11631\n10147 10363\n6136 6252\n86 11194\n4217 6089\n4307 10211\n939 5545\n9852 10826\n222 9666\n814 3783\n4640 10446\n10622 11796\n1536 3011\n5744 10777\n7433 10987\n5018 8179\n3043 7114\n4071 9957\n9727 11204\n1881 8649\n5518 10067\n8152 11368\n3250 9397\n10578 11390\n2246 2820\n213 8075\n59 1896\n4930 12031\n637 5616\n905 4118\n180 1074\n6334 9004\n4123 11918\n3338 6436\n3528 4945\n759 986\n8504 9056\n1776 11852\n6765 8086\n442 7957\n1521 7472\n329 5474\n2152 5760\n1975 3647\n9379 12031\n4966 6128\n5140 10794\n1087 6049\n6098 6593\n256 11486\n2495 6956\n3420 4326\n7323 11492\n516 1544\n2822 5416\n2848 6511\n3209 12054\n3433 5621\n6536 10138\n4767 8546\n9155 9340\n2418 2851\n1696 4108\n4340 7788\n1505 8007\n7643 9258\n1828 3036\n3277 5905\n1814 8269\n4569 10966\n7788 9096\n5854 6028\n3912 6615\n2116 4615\n1627 7264\n2745 10692\n6805 11738\n9089 10847\n8604 9121\n2130 11492\n3066 6325\n5147 9334\n373 10101\n3521 9690\n439 5680\n5508 7291\n308 7321\n3067 8779\n2817 10326\n323 12196\n1409 2720\n1531 2899\n1779 10050\n7051 10237\n146 8340\n999 12156\n710 10817\n4901 9466\n9115 10998\n2135 4330\n226 3288\n6183 7987\n8020 9654\n1130 11328\n6959 7678\n6291 6532\n277 8782\n1064 2153\n5280 7935\n3054 3531\n1288 2971\n1967 7973\n254 4292\n5199 11819\n434 2094\n562 4914\n4492 4691\n4206 12006\n4719 10239\n6487 11732\n9218 9557\n8079 11289\n4977 5697\n1189 2441\n7402 10181\n2333 2470\n5758 8090\n1491 2441\n3979 9565\n1185 1258\n17 8420\n2104 9496\n6886 10118\n220 3742\n5237 11413\n5883 6814\n3316 3781\n19 118\n1604 4000\n5039 9290\n11073 11395\n4684 6315\n1393 11662\n3015 3106\n7838 8883\n6607 8027\n1251 2766\n251 6434\n1751 10928\n11067 11219\n6835 7911\n5591 7099\n9364 11230\n580 10071\n4134 5346\n3167 4398\n4964 6131\n448 5194\n663 8724\n173 2837\n875 5873\n653 1283\n698 8302\n7100 10857\n9306 11308\n5611 7720\n9475 10471\n1039 7528\n883 5994\n2923 7228\n17 7737\n5077 5647\n4247 8772\n7685 9753\n2686 5159\n4341 7077\n3833 4626\n4262 10177\n5862 11102\n2629 4233\n7402 9639\n7904 10256\n2866 3412\n7730 11411\n6591 12094\n359 2049\n499 7038\n2475 4169\n3530 6436\n2117 3072\n3712 11626\n4618 9119\n6908 10788\n3907 8090\n2342 10631\n8740 11443\n4766 6769\n2343 10810\n473 7766\n6094 11763\n117 940\n2254 7949\n7207 9919\n2228 10231\n1362 11291\n6159 9271\n1984 3289\n3915 9576\n7088 11966\n745 2900\n103 2584\n3689 11685\n8328 8881\n11046 12043\n3811 7720\n1274 10391\n307 9053\n3420 6251\n1548 7487\n10642 10906\n454 3574\n1147 6327\n2455 4345\n5955 6888\n2663 4160\n1656 5096\n2558 8679\n1241 11200\n2115 4088\n6409 7297\n8121 11414\n2993 4954\n3802 4268\n51 3271\n1419 2420\n3329 5507\n1172 1755\n2847 10794\n575 6981\n6306 7368\n4980 7421\n242 8173\n5504 10199\n3963 4183\n3039 3928\n6236 10772\n3846 8209\n3761 9917\n6124 9578\n6237 11897\n2047 2298\n5281 11929\n394 7150\n3462 9495\n3780 4816\n3018 8239\n7304 11478\n2050 11897\n2965 10360\n488 10446\n6132 6158\n8386 8639\n6701 11336\n2918 8961\n4173 11602\n7485 9423\n834 7185\n1176 7467\n1572 1625\n6141 8521\n3271 6014\n8139 10658\n852 4452\n684 5937\n2802 5085\n1561 11516\n5415 9093\n5336 6360\n9096 9126\n8310 10750\n2918 3700\n2072 7427\n8934 9194\n8931 10217\n2165 4657\n4890 11871\n9282 9963\n10731 10769\n4175 12030\n2648 11709\n2421 6206\n10073 11712\n3571 5863\n4999 6818\n7799 9618\n3915 9666\n2562 4486\n947 9863\n5900 9375\n2996 4857\n3516 5177\n1288 5214\n9510 10118\n3971 6111\n2224 6370\n2946 5135\n9244 10816\n2982 6794\n3458 11944\n2112 6607\n494 1834\n6481 9490\n1039 5046\n7169 10661\n6326 10109\n5457 7690\n1514 4380\n7011 11730\n7665 10130\n2569 9354\n10639 12053\n2413 5650\n1701 2539\n7293 9891\n991 6197\n3260 8174\n1206 9885\n6030 11262\n1493 10939\n4603 5027\n3037 7837\n7140 11201\n1353 3418\n4117 6073\n7346 7441\n2401 9037\n3017 12000\n735 1279\n3966 10135\n1605 11636\n5043 7413\n6210 11373\n8735 12115\n6271 10478\n1381 2667\n9084 11329\n4289 7082\n3133 3786\n5182 6684\n1932 7274\n7813 10183\n503 8842\n1750 4356\n2273 2459\n3211 4967\n5119 12128\n8504 9839\n1503 11304\n9463 11118\n5070 11272\n631 7492\n2221 7816\n768 5252\n2792 4821\n7177 9397\n4321 9214\n10805 11080\n12021 12103\n3779 11269\n1414 1961\n5025 9927\n1241 9701\n10814 11281\n2338 10666\n3524 5881\n4067 11945\n8918 9646\n4985 6749\n4148 6444\n332 8825\n6349 6380\n2268 10519\n650 8758\n606 1328\n6351 8777\n7873 9579\n4639 7993\n3477 11225\n1202 5282\n10340 10811\n10716 10998\n902 2936\n4514 9896\n2270 3621\n1319 5017\n3516 9788\n10669 11366\n3112 3829\n8201 9645\n4975 6257\n8604 11170\n4409 6058\n7766 9324\n6462 9496\n6007 6485\n1870 11281\n9801 11704\n779 7913\n7435 9628\n1300 6963\n3153 10126\n856 8008\n601 5829\n5919 10611\n4185 11194\n2703 7770\n841 3568\n686 1438\n4068 10464\n74 2421\n1376 3565\n969 9784\n1126 11703\n5235 9124\n2100 9854\n3116 3670\n6005 9273\n7057 8490\n7256 8197\n4365 9115\n7004 11101\n1189 8892\n6079 8484\n6728 8440\n845 5720\n4430 6697\n4710 9958\n5182 10590\n4035 7072\n6361 9457\n5851 11932\n3246 8865\n8533 8880\n6359 6591\n1539 5237\n1414 3889\n488 6533\n4193 10265\n818 5966\n846 5213\n3005 10353\n5673 9290\n1157 3668\n2936 8790\n1531 3382\n3475 12159\n21 530\n3019 11624\n4338 7607\n3240 3558\n4437 6755\n7264 11412\n5653 10022\n2158 7955\n926 7734\n5717 7769\n5927 6548\n1269 6782\n3194 11572\n10909 11093\n6773 10599\n3521 9102\n518 7293\n4244 10276\n9257 12109\n4019 10922\n4298 5889\n8035 10351\n5898 6555\n6913 9905\n306 673\n4806 11665\n1968 10779\n8759 11022\n5938 8271\n11297 11336\n3698 5234\n5205 11886\n2016 10213\n552 3895\n3335 3823\n8 11906\n3793 8082\n9486 10867\n5324 11735\n6947 11119\n7224 9569\n3497 4648\n6725 7387\n873 11678\n6823 11073\n2927 3289\n7216 7758\n4620 7113\n5804 9792\n5423 12068\n4411 11461\n4672 8930\n8474 10244\n2438 8739\n3635 9906\n1104 5562\n4911 10725\n1519 2107\n4412 5440\n6246 8542\n502 7260\n11810 11863\n10863 11483\n5331 9468\n51 8368\n6055 7747\n1033 3187\n8952 10575\n416 6480\n3651 8822\n4450 6838\n6478 7575\n1254 10700\n2997 7498\n9317 11840\n499 5507\n5229 12094\n3921 4531\n5170 10368\n2176 5621\n3159 11935\n905 7136\n3017 5941\n672 7083\n456 7999\n2390 4213\n3010 3399\n1351 4135\n3313 4153\n2918 10576\n1513 2930\n1898 7984\n8903 10960\n499 971\n11334 12039\n251 5442\n2903 8241\n3048 4166\n3790 7861\n509 2424\n5343 9862\n1319 11306\n1638 3704\n3344 10711\n926 1881\n317 5201\n10413 10867\n8112 8245\n6918 8493\n358 10009\n417 1156\n8427 11044\n130 10472\n8297 8441\n58 6941\n4123 9014\n9321 12028\n1663 11986\n1285 1396\n186 10029\n2383 2408\n8162 10374\n651 3367\n1089 1238\n1525 8210\n906 1816\n1395 10822\n669 7522\n908 4857\n6306 10911\n2311 5664\n1933 9903\n2246 8406\n4722 6646\n2671 10219\n8534 9912\n5477 9627\n6728 8917\n2582 5824\n717 1678\n3052 11660\n5977 9737\n1458 4725\n4092 4504\n8396 10770\n2088 10491\n2378 8253\n506 7431\n7123 10339\n3723 3855\n8154 9615\n1449 6103\n673 2723\n7005 7251\n803 10030\n5358 9874\n426 3211\n3199 5854\n6072 10847\n1238 5199\n2642 3565\n8657 10024\n548 9781\n2382 4179\n2434 9766\n11166 12001\n3321 7655\n8878 9249\n4262 6001\n1726 8529\n1524 3887\n4289 10232\n4092 11568\n3050 3868\n3701 7917\n4551 9313\n5407 10617\n10247 11692\n5836 11874\n8559 11895\n73 6131\n9987 10970\n2576 10239\n4190 8524\n2357 6627\n3823 10555\n4211 4971\n4431 4673\n297 6898\n2738 5517\n1196 2009\n1311 7427\n8352 11489\n5577 8164\n8680 9923\n310 5384\n1729 6085\n5974 10357\n335 8584\n7311 7936\n2033 2892\n717 11847\n4908 8213\n1104 7280\n974 3704\n5500 5757\n7303 11222\n1273 8523\n6050 10424\n9100 10406\n3357 11992\n2247 3768\n7178 10485\n896 10212\n9555 10726\n3417 10460\n982 9594\n3489 4644\n511 11740\n11249 11311\n2300 11748\n3286 9559\n1974 10381\n4959 9452\n7846 10075\n8305 9601\n3469 7700\n2048 8752\n8199 8874\n4950 5347\n3502 4561\n6369 9475\n3638 10700\n4755 11390\n3969 6326\n5729 8845\n499 4253\n378 6470\n5673 10661\n5800 6098\n1044 9585\n2291 10819\n5172 5818\n6054 7124\n8208 11389\n1416 5813\n3089 10598\n3338 11480\n2012 4777\n5717 6144\n513 2946\n3301 4055\n1484 5847\n9879 11359\n4656 9627\n1765 1959\n2688 3877\n5605 10009\n967 9462\n4338 11316\n3011 8014\n8046 9159\n6882 11714\n5972 7007\n3394 4664\n1384 11072\n8246 8484\n3815 4198\n2249 9978\n1154 5591\n3541 3768\n810 9862\n747 7636\n213 11971\n2027 4995\n8121 8925\n3745 10247\n2384 5155\n7683 10793\n2219 4554\n6207 11773\n9443 11209\n4178 10242\n4529 10885\n7453 7886\n252 10657\n2698 5693\n2194 3232\n1147 2220\n7706 8281\n1778 4102\n607 2000\n4175 6280\n1438 5188\n3825 8002\n8333 11609\n1360 2825\n536 6646\n3131 10616\n3562 11067\n6596 8026\n2467 6140\n4400 6295\n11311 11742\n6352 6531\n944 8602\n5507 8322\n2009 8355\n2327 5332\n216 6167\n6110 7437\n8936 11857\n2512 8964\n985 7614\n4640 10397\n1546 8603\n2803 3703\n6319 10983\n5832 11513\n1560 10366\n1348 1884\n663 11961\n8289 10277\n2407 2905\n4194 7812\n4430 9317\n6429 8676\n2050 6147\n5153 10010\n4626 11628\n1397 2486\n4812 8954\n2132 3928\n4902 11903\n4910 9337\n1558 2866\n5785 8666\n4762 8010\n1980 5346\n5012 10052\n8429 8904\n9022 10634\n4902 5389\n1848 8216\n103 6392\n4254 8952\n1381 3791\n4348 7333\n4828 8516\n7933 10103\n3474 10986\n156 11560\n5664 7952\n2773 10832\n3021 4323\n996 4186\n1264 3378\n5519 11745\n310 1182\n2087 2403\n3691 9647\n3741 8620\n1779 4685\n3324 10539\n3118 12035\n2149 4237\n8981 9181\n1984 9787\n976 6523\n3633 9293\n3968 8395\n297 11403\n4628 11591\n4480 12085\n1807 3139\n3187 5686\n2269 4554\n2673 4377\n6836 11393\n9947 10611\n2535 5322\n2285 10110\n5251 7576\n409 4078\n6343 11071\n3867 10275\n7797 8433\n2727 7668\n3319 5158\n1793 11251\n4818 11473\n8900 10410\n2759 2986\n2229 3311\n4990 5701\n9612 11757\n10880 11331\n337 5524\n1893 4319\n1502 8646\n5726 8089\n3642 5390\n2764 6455\n5721 8041\n4097 5891\n4392 9471\n11386 12066\n2816 11384\n9966 11206\n485 6551\n1543 9743\n6515 11175\n1363 10727\n1907 8796\n4773 7975\n7199 7443\n1425 10808\n3675 11609\n9093 11591\n1612 4907\n9061 10911\n4593 9504\n1874 5732\n2846 4152\n946 8209\n7335 8016\n8490 11342\n5819 9383\n5636 9796\n1236 7261\n782 8011\n174 11362\n8334 11138\n5137 6998\n1935 4238\n4832 5662\n7835 8428\n8242 11336\n1199 3735\n2421 6889\n7074 11021\n3147 4199\n1634 5866\n7081 8389\n10402 10775\n793 10456\n9534 11379\n932 3156\n1259 5469\n10725 11136\n6208 8257\n5669 11838\n2068 2096\n3445 4285\n6042 12083\n2926 6038\n4872 7473\n672 1111\n3485 11795\n3225 8283\n2157 7224\n6485 7562\n5785 11058\n1582 10313\n6884 10401\n2717 3762\n6929 9473\n6818 8725\n3660 8663\n9246 10377\n4513 9264\n9678 10533\n4784 6990\n3526 5148\n10272 10351\n4612 5120\n3389 4807\n5513 11707\n87 1516\n3196 10408\n1511 10305\n3244 3788\n6784 12187\n7517 9367\n6068 10493\n6167 7145\n942 8951\n2680 12061\n919 5361\n1327 6121\n3410 3705\n4066 7335\n7152 7886\n5963 9830\n8204 12021\n817 892\n529 1222\n7256 11796\n6225 9498\n8994 10250\n5565 8305\n3203 10451\n5234 6088\n5999 11534\n871 9458\n421 11813\n2755 3375\n4425 10519\n4618 6871\n2959 8860\n7388 8262\n719 11150\n1429 4546\n521 8207\n546 3398\n8261 11165\n3853 8747\n2197 4102\n6767 10020\n6772 11274\n1844 2484\n2400 6996\n9734 11687\n2700 11153\n1017 1705\n2343 5431\n1286 3567\n4489 9566\n4269 7705\n2972 3406\n84 659\n1792 4358\n3254 11879\n1256 3260\n2302 11073\n8467 11369\n5568 6134\n9859 12045\n218 7774\n5587 10181\n3163 10648\n11206 11960\n1490 2124\n4325 12114\n4245 9806\n2095 7187\n2451 7669\n5533 7164\n4181 6844\n7262 8791\n4161 9471\n49 7923\n4986 11697\n1331 6985\n2812 8798\n6005 11185\n8525 11127\n2074 8710\n3702 11611\n3815 10638\n1089 10693\n4749 11642\n2807 6438\n4143 4466\n1839 10401\n1687 3620\n2769 9704\n9417 10168\n7591 11499\n10269 11727\n3117 6027\n4684 7142\n5104 12127\n610 3134\n3582 8207\n7500 8607\n2868 11617\n7768 8837\n7491 9793\n5724 7697\n2416 7765\n7486 10599\n1557 5238\n6769 7721\n5574 9319\n7964 10474\n149 8344\n7222 8263\n1137 3633\n2224 8605\n416 6888\n2517 7383\n1501 10794\n8421 10948\n91 9731\n4935 11216\n4556 11095\n8614 9159\n5757 6950\n5398 5585\n1433 3108\n2318 3274\n4122 8361\n1303 4838\n5646 7594\n9720 10432\n1583 11324\n5016 9839\n2005 3856\n7972 10200\n9620 10962\n5625 6679\n2738 6335\n5947 6376\n4095 9452\n2502 4229\n92 10284\n53 10193\n948 8155\n9106 10903\n6497 6501\n186 8020\n2374 10346\n1733 10871\n1647 8908\n5836 6826\n1047 2131\n3294 10572\n249 8155\n8990 9175\n682 8730\n3122 3727\n2494 5871\n1281 3010\n9756 11353\n5479 8774\n1177 9399\n4335 6701\n6024 9420\n3094 7990\n1763 3234\n270 3810\n6457 8756\n3132 7446\n1897 8281\n4645 9536\n8465 10964\n387 11575\n1582 10485\n7695 8822\n1461 4593\n3964 11899\n571 11837\n2271 5783\n3415 5149\n943 11572\n151 7063\n1312 3204\n5746 9161\n6976 10806\n4646 11724\n145 2238\n4478 4573\n3081 10281\n9080 9951\n1885 6590\n7299 8904\n5619 9114\n86 4563\n1033 10849\n4835 6327\n3893 8320\n2070 5099\n4221 9366\n4933 5689\n9363 11831\n1326 7972\n5143 11633\n3393 11581\n4687 10334\n9213 10581\n3842 9607\n2973 8994\n7030 12013\n6431 10428\n4394 7324\n6764 9360\n9693 9787\n8849 10242\n1028 8499\n3603 7370\n3163 8255\n2931 3927\n4164 10944\n110 3095\n1300 5366\n1027 7246\n3351 6178\n4125 6902\n1690 12017\n3354 5236\n718 11052\n7342 7428\n3857 8221\n4630 7501\n496 7719\n3193 5594\n567 2789\n2058 2476\n481 10447\n4670 4694\n1745 7965\n3676 11781\n7817 7994\n961 8725\n7254 7934\n1872 11769\n1802 10839\n10193 10198\n5075 8068\n2213 11539\n9146 11391\n7532 12148\n26 6066\n4696 5108\n285 4929\n2894 5994\n2995 4815\n5705 6809\n1256 4391\n6973 7826\n6270 8076\n4693 11784\n7091 8582\n2772 3763\n246 3147\n11285 11490\n774 4334\n6790 8416\n4228 5226\n1104 3715\n5718 7337\n5411 6204\n1249 11606\n8953 10168\n4823 7112\n3042 8106\n6014 9268\n2380 5840\n2227 4977\n2418 7279\n1272 5589\n1122 1231\n1812 4108\n2560 2627\n1331 11759\n254 12155\n6316 8897\n6287 10314\n124 1247\n5751 11275\n3956 9291\n11379 11418\n72 4060\n2775 4904\n926 11002\n2062 11618\n808 1701\n8388 11668\n10147 10977\n1406 5392\n2022 10573\n527 7540\n66 7750\n3002 6495\n70 7939\n2205 11313\n1419 4662\n3267 4628\n1931 4319\n4948 9043\n6164 11690\n548 4421\n771 1881\n2409 5162\n5545 11455\n825 3784\n9935 11583\n7042 9466\n3638 7759\n5313 5596\n4220 10738\n4910 11688\n6755 11597\n3821 5444\n546 8734\n4910 4986\n5071 10447\n1841 2063\n4080 8915\n1695 3779\n6229 8456\n1546 11572\n4941 9427\n4152 6939\n7572 11796\n3312 6116\n8784 9247\n9566 9835\n6691 8761\n9469 10929\n247 1645\n4382 12139\n9363 11820\n3840 4832\n2344 11664\n4860 11312\n1653 9706\n3233 4922\n8091 8894\n2574 5842\n1126 5449\n4536 11021\n8924 9683\n5724 10511\n11327 11500\n4602 5091\n10104 10147\n458 5173\n1309 10851\n1777 7331\n4532 6338\n3296 6417\n3547 10348\n10626 10934\n8806 12146\n2703 7983\n23 4554\n4028 6841\n2451 6091\n7997 8394\n8640 10458\n1765 5248\n5088 6404\n1466 3529\n2543 3778\n3643 11996\n733 8711\n2749 6402\n2918 7023\n7 576\n9724 10053\n2812 10225\n4318 5238\n4516 7026\n3479 8404\n2294 10583\n3014 3475\n2605 11907\n7471 11460\n9104 10869\n9883 10120\n3428 9498\n1985 11856\n6645 11584\n1316 1513\n4370 12119\n587 8352\n5848 9263\n1737 9296\n3311 8450\n3200 4682\n623 11252\n2387 9724\n3875 7074\n459 3009\n2089 6352\n2779 5154\n616 10142\n3494 6001\n5038 7309\n9047 9619\n4114 8298\n7828 9355\n427 2313\n4347 8867\n2860 5511\n8143 9092\n5616 11999\n11769 11902\n4102 11668\n7872 9190\n2174 7065\n4781 7871\n30 6718\n3418 7864\n2972 5258\n5680 8141\n9778 11125\n8691 9631\n3008 6825\n4012 7934\n4300 8282\n4602 5272\n4109 9977\n4729 11056\n6777 11700\n458 571\n963 7581\n5176 8968\n2111 9917\n6259 6895\n5731 7334\n2949 11776\n216 1117\n3365 7079\n20 4098\n2150 11708\n3620 5713\n4908 8998\n4288 8543\n2458 9395\n1631 10549\n2834 6138\n408 4026\n6320 9363\n3670 8177\n4339 4893\n10084 11907\n3064 10865\n7507 8253\n1204 4847\n1213 5615\n6662 8961\n1838 7443\n937 7415\n3097 9124\n530 2060\n4436 9846\n270 8614\n4467 9542\n3652 4151\n1554 10549\n5075 6591\n8042 12194\n368 5037\n1101 11036\n4945 9975\n404 4415\n4222 6164\n1804 6656\n3641 11136\n1751 4733\n1185 3577\n5105 6785\n3522 6364\n5197 8159\n3504 10671\n308 11635\n2042 9530\n6122 7875\n2320 10023\n3159 5061\n6055 11876\n8296 9260\n7083 9391\n8399 9417\n6529 10224\n10332 10980\n1599 5935\n1961 12062\n4704 12011\n7902 12028\n1458 2526\n3475 5435\n459 3293\n403 427\n2913 11388\n1120 8243\n6544 8503\n7024 10139\n361 10727\n1509 6471\n11131 11679\n978 8096\n5123 5262\n4768 9092\n7895 11359\n1893 8293\n1281 5089\n2696 9418\n1179 7586\n1721 3903\n3409 8745\n6457 10644\n6099 9765\n6860 10941\n1201 4261\n5052 6588\n4040 6969\n1742 10708\n7123 8416\n7622 8274\n8313 9680\n3394 11032\n573 7156\n6133 10799\n1967 11607\n6900 10710\n9202 11405\n5121 5428\n2846 12148\n1990 6910\n7201 7847\n2029 4817\n9670 11426\n1287 3901\n3471 7313\n4675 4823\n7760 11026\n3265 10673\n6633 10086\n2208 12066\n2840 3600\n2680 3949\n775 8612\n3447 8431\n5876 8050\n6543 7891\n3749 4053\n1964 2889\n4900 7633\n3906 4237\n6549 9260\n1815 3387\n6063 8465\n2328 9386\n6350 8648\n9818 12164\n4198 6568\n1824 5265\n8614 8742\n9246 10514\n8445 8908\n5837 11612\n1613 2551\n7288 9470\n1297 4734\n7211 8746\n5948 6865\n620 920\n2605 3303\n3259 7122\n4577 10304\n883 3472\n2881 8168\n823 10218\n10259 11435\n109 7009\n8934 11853\n7225 10101\n8465 10193\n193 9834\n7319 11299\n6483 11027\n2342 4371\n1137 3093\n2321 11855\n2827 8883\n4600 11417\n96 9657\n4320 6064\n9361 10248\n2585 8478\n1666 6102\n284 736\n3618 11147\n7990 10386\n5195 11019\n6603 6708\n3296 6678\n289 7006\n10653 11969\n7020 11635\n2425 6341\n7466 10152\n1099 9233\n5456 11629\n43 11958\n3122 10594\n9538 10131\n1143 8335\n3655 7412\n2905 8155\n372 8180\n1162 3778\n2289 9516\n2311 4695\n4650 5028\n230 10614\n9363 10714\n6449 10533\n2073 7653\n4651 7368\n6085 8582\n1335 7991\n1222 10822\n456 3345\n4759 11697\n8272 11183\n1430 9889\n4751 7307\n2556 11328\n259 10717\n943 4785\n1911 2192\n1401 11218\n1556 9401\n10624 11098\n2210 10735\n4108 5086\n2349 11231\n7354 9662\n5035 9355\n2274 11462\n5327 9162\n2405 11072\n360 3469\n4487 7726\n9351 11085\n7737 11574\n5319 10198\n3964 6376\n5925 6485\n8330 8981\n2510 8479\n814 10544\n2147 5873\n2300 8722\n4149 6377\n247 969\n641 2242\n3876 10128\n3242 11279\n1870 3840\n6241 7073\n7663 11988\n1281 1798\n6302 7880\n6315 7123\n3093 3255\n1974 10117\n6660 7572\n252 10569\n5422 10057\n9973 10864\n9070 9387\n5331 9621\n500 9508\n1038 4795\n3996 4112\n6729 11443\n6402 7565\n2535 9799\n683 5303\n5477 6790\n6197 9982\n4371 11750\n7478 10841\n2350 8694\n1707 7477\n4815 5945\n9286 10373\n8754 11981\n2358 6058\n2950 4392\n5419 11917\n4219 11424\n2964 5864\n7685 9053\n2073 5941\n7572 8176\n3563 4445\n8394 9545\n4197 11315\n3170 9349\n7836 8613\n3535 9776\n8165 8704\n1395 11934\n6140 9237\n2518 2754\n3010 5168\n7041 8765\n1303 6012\n6017 10273\n379 5148\n6969 9028\n8041 10515\n1309 1450\n1303 3757\n3190 7961\n2030 9279\n4364 10391\n7679 8741\n4089 8183\n1042 4555\n1490 2982\n4539 9689\n6517 10026\n2723 12132\n7141 7709\n5036 10410\n8506 9719\n3031 6903\n2790 11889\n1763 5123\n1023 4877\n1058 6766\n6068 10909\n1791 10838\n9934 11923\n4860 9619\n4345 9010\n3314 11626\n428 11594\n1954 12129\n2363 4225\n11676 11707\n6819 10454\n6259 7405\n4919 7273\n603 10171\n5989 10160\n3852 7145\n2237 8832\n8037 11831\n4240 6502\n2527 5270\n2239 5078\n4470 9420\n6870 11190\n10403 11657\n7415 9557\n6626 7202\n407 3851\n4726 10071\n5824 7448\n1121 1250\n3092 10668\n6659 10615\n5473 9179\n2692 3582\n3421 5412\n5896 6040\n7287 11015\n6153 9911\n3848 10487\n160 11473\n5444 8018\n1745 10542\n1836 11439\n4909 11877\n5881 6612\n9037 9952\n5229 6157\n2074 3860\n2285 3037\n3914 9189\n617 5728\n5315 9726\n5357 5884\n3848 8245\n919 7293\n2654 3747\n1640 3091\n2221 12127\n1637 5137\n7826 11625\n401 8347\n1141 3156\n3661 6080\n5628 10207\n3188 3820\n213 6745\n5133 11421\n615 2196\n2437 8924\n5769 9261\n4684 7025\n3616 5945\n5494 10447\n7137 9867\n7768 8236\n1534 5984\n3326 10408\n5180 5243\n6542 9335\n7899 11786\n2809 4480\n7597 12144\n5467 5845\n6 347\n2111 3223\n381 8293\n8501 11808\n8234 9101\n105 10637\n3610 9715\n1563 2177\n8155 11866\n5752 7417\n6159 6754\n3664 10362\n3951 9853\n3092 5140\n1193 9734\n7063 10939\n546 9177\n1912 3678\n3923 10793\n2085 6652\n1016 9839\n5689 9347\n6518 10211\n4782 9753\n6184 12066\n10326 11102\n6440 8626\n822 7570\n209 10763\n7469 9419\n951 4822\n1047 10606\n4797 6465\n1598 2515\n6965 10340\n9461 10733\n4655 10859\n7585 8964\n3695 6798\n2249 9558\n6052 8776\n6040 8553\n4647 7274\n975 5703\n1195 5568\n6288 7939\n959 9110\n2475 7257\n2906 9296\n3211 11112\n974 1919\n8085 10819\n8670 9520\n1367 7876\n7369 7902\n5078 11190\n2351 11239\n4279 8023\n1720 10401\n6243 11173\n4157 11122\n10516 12024\n1547 4407\n6339 7473\n3462 8111\n2795 4213\n3139 12123\n357 6466\n4338 5819\n1006 7390\n6587 8887\n433 11125\n5699 8148\n651 12054\n6113 7454\n2634 7609\n7317 11157\n7653 10242\n789 8220\n6984 9528\n2561 2622\n3604 11891\n1469 4356\n384 3318\n220 8839\n2532 8357\n5726 11185\n1404 9123\n5476 10267\n4287 11027\n3913 4762\n2286 7745\n4780 5263\n3185 7191\n9135 11547\n1157 2878\n7753 10486\n6055 6114\n135 11401\n9523 11187\n1877 5392\n7 9677\n1404 6472\n3737 9853\n5682 11986\n335 7631\n5237 9824\n9865 10011\n129 7449\n3954 6031\n256 585\n8241 9450\n10263 10545\n5162 11220\n487 7069\n2506 7339\n3698 6578\n1231 8730\n3247 6935\n5433 10369\n210 411\n3559 11983\n497 2326\n4024 9079\n5118 11281\n9559 10302\n6023 7955\n738 7506\n6033 8048\n6076 11480\n3023 6892\n727 1300\n823 6713\n1459 1744\n10876 11873\n5393 8042\n5012 7656\n5038 6313\n228 11887\n2746 5730\n7996 10250\n1738 6602\n2723 3785\n10614 11798\n2216 11926\n5778 10289\n1438 5800\n2916 10287\n780 2552\n2763 8187\n8081 8623\n1262 8313\n10588 11960\n2387 8907\n6376 10135\n1152 12043\n3363 3601\n4021 5462\n519 5578\n4330 10574\n5010 7768\n10229 12095\n5520 10767\n255 8968\n8050 9642\n8636 9040\n472 1997\n163 3741\n9028 10769\n9656 10295\n2120 10618\n4912 9083\n950 10724\n2557 3095\n8521 9590\n6543 8095\n3440 11904\n2275 2811\n7216 10440\n1392 6297\n5427 6069\n2835 5951\n1724 6672\n9723 11279\n3311 3526\n6455 6490\n330 2508\n1965 8599\n6206 6507\n4279 5072\n4138 9908\n3497 6835\n2073 10036\n339 1456\n4773 9507\n6849 11789\n583 4748\n2672 4393\n6722 11815\n8656 10087\n7193 8667\n5946 7664\n6746 7371\n1163 7609\n9791 11122\n3136 12081\n1385 3766\n1239 7442\n2488 10709\n4495 9025\n8496 9385\n778 6925\n2218 10239\n39 2862\n5526 10887\n4503 10085\n6180 6687\n9755 11773\n551 3263\n860 10803\n6395 9614\n1686 11455\n5791 10396\n6534 8115\n363 3931\n2670 8140\n803 8171\n10989 12016\n2937 6388\n382 12087\n4352 9184\n5984 7952\n1917 5552\n9482 10342\n384 9653\n5499 5891\n10131 11765\n8330 11345\n254 6632\n1450 1775\n672 6585\n1658 6902\n2249 8145\n11203 12037\n2181 9883\n716 5133\n6046 7623\n338 2382\n3313 3366\n30 10478\n2157 8247\n4161 5085\n13 8499\n8368 10705\n678 3240\n3152 7401\n2843 10656\n7843 10670\n2143 9143\n7211 8813\n9916 10523\n1725 9847\n5212 11280\n6551 12178\n3493 6585\n954 10558\n8968 11820\n1219 7393\n1262 9728\n7295 11586\n3698 11943\n5842 10305\n1755 8929\n2222 2843\n7696 9936\n785 9764\n6289 6753\n10271 11933\n2528 2738\n4416 8398\n2226 10400\n2329 3558\n2531 8763\n8473 10928\n7310 8306\n800 2235\n6064 8078\n2503 3977\n4760 11285\n1157 8613\n4127 6798\n3152 9118\n3756 7450\n4563 4866\n3870 9700\n3522 5014\n5018 6029\n6904 11266\n4480 11412\n239 1130\n2023 7611\n4215 11369\n6924 11360\n4108 6160\n2322 11246\n87 9795\n6882 7331\n6222 6933\n3582 4891\n1357 5845\n2978 5767\n3370 6891\n6025 9652\n1572 5340\n2611 10637\n5922 6032\n1256 6183\n1683 7577\n4156 11889\n7128 7826\n3662 6882\n3130 8296\n1042 12086\n6500 11192\n914 8279\n5891 11709\n1894 6348\n8335 10148\n10462 10778\n5841 6970\n958 5606\n604 7685\n7273 11518\n8128 10362\n8158 11522\n6861 9198\n1247 1558\n9308 10039\n928 6852\n2226 5047\n5793 7839\n1873 11964\n2276 5937\n4912 5453\n2808 6700\n1947 2230\n1487 3608\n6511 7875\n5344 10779\n7103 7194\n2682 10181\n7343 11279\n4917 10373\n4221 8773\n707 11133\n5756 6439\n2041 6419\n8380 11838\n2730 8359\n1671 6439\n976 2080\n4555 12099\n6765 11417\n3021 10461\n1905 9569\n6822 7083\n6490 8696\n7333 7574\n652 3459\n5202 7981\n1102 11992\n4374 4965\n5352 10430\n2525 6790\n4963 5226\n2869 3885\n6429 8453\n1936 5068\n1552 6302\n6867 7594\n6106 11627\n5781 7738\n11098 11657\n5913 10738\n7316 10713\n4656 4897\n4513 6437\n2685 12041\n3651 7289\n10272 11274\n1225 1292\n616 9109\n4299 9816\n7670 8052\n9112 9166\n1493 11331\n3510 10074\n910 8060\n6519 11068\n251 7513\n5687 10798\n5283 11928\n5 7357\n6171 10341\n4583 7315\n1856 5663\n43 4793\n7260 8921\n340 4808\n3939 11268\n5182 6858\n1735 9902\n2467 9028\n7899 9498\n6352 8728\n1257 2163\n8309 9417\n3882 8863\n8215 9779\n4254 5406\n5644 6232\n8628 11211\n5583 8812\n638 3315\n2309 4265\n2278 9913\n949 11545\n583 5626\n8169 10548\n1261 6125\n1038 1438\n5324 9689\n395 11285\n149 3654\n6004 9166\n1388 4229\n1937 5103\n6309 7979\n8109 10037\n1926 2157\n2694 8193\n3537 6516\n4548 6774\n302 3596\n8848 9843\n1735 7845\n7203 11270\n3628 10648\n10022 11029\n1378 12031\n5371 9941\n7690 10365\n622 6559\n3082 3377\n5506 9836\n1802 9569\n3071 7925\n490 1755\n3367 5100\n3435 7989\n1018 11592\n7700 8785\n389 6805\n874 7540\n6300 10642\n2220 7312\n11267 11587\n2145 9145\n2778 5226\n3485 7707\n3062 10828\n2093 6152\n7874 9742\n8752 9865\n3044 5773\n3652 6624\n4600 9329\n1230 6951\n2606 6410\n4624 9238\n2673 5224\n8178 11010\n5838 10297\n7973 8415\n5158 5739\n1522 2892\n4703 10998\n5198 10825\n1339 5212\n1335 11361\n2212 11462\n1740 5311\n336 2523\n1142 3760\n4344 10539\n964 1628\n1252 3474\n505 10072\n11074 12154\n3261 7547\n2208 6477\n3123 7838\n4307 7185\n3967 9072\n10159 11761\n1960 6138\n1323 10179\n5141 11678\n396 3989\n1389 1638\n3215 6435\n6967 11880\n2730 7743\n329 3260\n5 3863\n2022 10851\n598 6592\n5447 8954\n273 11001\n2464 7117\n6849 9363\n6636 10167\n1412 11532\n328 8879\n2913 11839\n89 8015\n237 10224\n10908 11449\n5416 10438\n2844 7867\n629 762\n7639 11958\n3672 8732\n977 5702\n2420 7095\n7022 7552\n3131 4483\n2503 10215\n521 8856\n4718 8969\n3082 9197\n7514 7728\n1769 3869\n8629 10117\n2261 3483\n35 1347\n8687 9571\n1670 4217\n2415 11009\n445 8638\n6872 8046\n10636 11411\n685 4203\n4092 9218\n1599 1719\n5326 8131\n1211 5016\n5553 7969\n3547 6682\n3745 4404\n8 1051\n4286 7688\n7473 11399\n1797 7917\n4675 10736\n1844 9735\n10349 10626\n3734 3866\n6772 10134\n1790 9270\n1175 1244\n834 7124\n8831 12029\n1384 3939\n3555 4168\n1194 7171\n9533 9718\n5912 7994\n10241 10570\n5560 6592\n4055 6442\n4705 11411\n6013 10201\n1389 3892\n1454 3225\n1643 9675\n367 4046\n4645 9620\n327 3882\n1548 6932\n439 7750\n4515 8548\n6147 6574\n2276 9298\n4275 7380\n1555 9840\n7824 10539\n3259 9937\n7639 7749\n8092 9147\n5675 7478\n10200 10632\n6567 8030\n8277 10629\n10972 11766\n2164 4223\n6794 11956\n5442 9870\n3348 5135\n961 6498\n2115 6919\n2238 4483\n3618 9898\n3190 3253\n2178 7895\n1357 11089\n5373 11009\n439 6676\n4237 4550\n6073 8733\n8158 10859\n1404 11519\n3181 6745\n3551 11617\n894 2709\n7045 10597\n8846 10617\n361 6481\n6805 11908\n4851 9766\n2714 5599\n1673 7711\n2636 4182\n4216 5409\n1672 8231\n8322 11470\n1070 7083\n1277 2539\n1835 3486\n758 8845\n5445 10122\n8503 11064\n5067 8225\n10243 10614\n1920 11642\n346 9029\n685 3796\n51 4449\n4066 11092\n4611 4823\n3164 9397\n7249 8795\n2908 5628\n4213 4425\n822 8794\n990 6997\n10729 12029\n4058 11343\n5941 9806\n1262 4678\n344 2604\n5272 7430\n2482 11205\n1522 11498\n1952 11689\n1596 7210\n3887 11171\n1052 4211\n3960 9593\n2318 11098\n8378 10296\n1698 3155\n8699 12133\n8617 11848\n9170 11129\n1786 7805\n4792 8081\n3144 6005\n4867 6531\n5455 7617\n5667 7474\n7908 11628\n4788 8345\n1414 9713\n2080 2185\n6906 11054\n9156 10666\n2127 2984\n3307 4622\n551 758\n3142 6837\n3679 10315\n1874 2712\n106 5839\n7452 9596\n3755 6595\n1127 10206\n2574 5042\n2555 6367\n684 4194\n1009 11456\n8189 11274\n7090 9889\n6975 10292\n10935 12080\n1664 10843\n1860 7440\n548 6909\n5024 10311\n2634 8916\n3241 8832\n5113 8296\n8798 10055\n7705 8519\n805 7387\n3642 7056\n5097 6380\n7951 11721\n1893 10721\n477 5028\n4151 5748\n2010 11080\n2111 10265\n575 4878\n3279 5962\n149 11850\n1470 11062\n533 10094\n1047 5238\n125 1463\n11192 11610\n651 3443\n5008 5822\n6341 7381\n8318 8411\n2673 7207\n4499 8319\n3744 7626\n3340 3860\n4 4528\n4404 9823\n761 6861\n8332 12098\n3705 8715\n1933 7140\n10733 11945\n4307 11065\n8681 11692\n1506 7047\n1158 1743\n67 3083\n2615 11633\n4592 11038\n1463 4391\n3168 11380\n7966 11515\n165 10860\n4810 11476\n4686 9330\n8990 11976\n8327 9353\n1366 5976\n3605 4537\n3085 4512\n2991 6416\n430 1304\n4375 12079\n2599 11466\n1804 9574\n283 11029\n10527 10659\n8170 12096\n3780 6583\n1684 3936\n4824 8323\n667 10097\n6612 6621\n877 9657\n6165 7288\n328 5351\n7091 9487\n5947 7203\n3829 9685\n5470 6553\n1137 9540\n5988 11173\n3072 12127\n3866 9447\n901 11593\n7826 10095\n2315 4468\n5071 5765\n5883 9806\n8364 8787\n4999 11507\n590 3173\n1959 8917\n6805 8949\n1303 4876\n1192 8406\n2375 11093\n5438 12085\n10523 11746\n5976 9958\n393 4244\n2151 7152\n2848 5111\n3710 4424\n9659 10749\n3535 8355\n4360 10497\n10625 11905\n2036 2318\n4383 8481\n1231 10804\n3537 6584\n4588 10428\n9760 9885\n4241 4898\n135 10229\n424 9112\n1516 9070\n7405 9918\n7051 8711\n2703 8767\n104 8201\n8607 11561\n6883 11863\n837 6040\n867 1270\n2079 5634\n2880 8409\n4817 7397\n8692 9169\n5153 7054\n612 3968\n94 7085\n5003 11729\n263 516\n2390 2950\n1799 2437\n2023 5554\n50 7091\n457 10524\n2558 6085\n43 8457\n8045 11828\n6662 11637\n8538 8637\n10271 10714\n8190 8304\n2957 10461\n830 7304\n5450 9143\n3407 7972\n10645 10740\n7111 11699\n8905 8920\n8003 10805\n501 8159\n4037 11610\n2350 9614\n6591 12110\n1051 2852\n686 1465\n4812 7088\n1362 9539\n2145 3512\n2363 6349\n847 11243\n1459 2084\n2106 12105\n3610 9778\n5687 11130\n2896 3625\n3257 4630\n3956 9911\n3308 9322\n6025 11444\n3864 10935\n816 9253\n2072 6459\n6782 10313\n1163 11310\n1953 6469\n2263 10008\n2370 9995\n2514 7970\n7168 7896\n275 3303\n2132 8302\n4183 7591\n2671 6945\n9750 10284\n4456 6669\n7955 8869\n201 698\n702 8349\n1328 8805\n1390 11327\n3064 6115\n5 10435\n3497 11121\n1660 3568\n9247 9710\n4252 8158\n1317 9689\n3582 9547\n8007 8773\n2535 4089\n7976 9536\n8349 8666\n5807 9083\n4928 4979\n4774 9577\n8653 11599\n1219 6461\n2443 11656\n5106 7625\n6101 7915\n8377 11747\n4259 5243\n6016 7660\n3474 11370\n5727 9887\n6979 11847\n3063 9827\n164 1722\n9524 9911\n5262 10702\n1589 9334\n2085 9752\n7971 12012\n9630 9994\n9286 11601\n329 8151\n2398 4676\n9066 11152\n3440 8727\n241 4255\n5937 7245\n1799 3726\n3245 10555\n4180 8810\n4894 10209\n1192 6017\n510 6000\n4416 7786\n119 12163\n9668 11117\n6155 7215\n7212 12030\n134 8685\n2169 10499\n6647 11458\n417 6840\n237 11291\n2366 11535\n2588 3986\n729 1925\n5088 6094\n648 2259\n5193 8535\n1227 3366\n1662 3769\n3337 6701\n1844 3915\n63 5265\n2455 11511\n1155 8619\n4681 11994\n2286 7554\n2102 10329\n3123 9661\n11286 11877\n3541 7171\n3403 4035\n1641 3941\n8846 9433\n5939 11730\n4140 11715\n8678 9327\n7259 11454\n4326 6970\n728 6777\n4778 5754\n1759 10229\n4270 10070\n7178 10076\n2696 6968\n5228 7306\n4292 8890\n304 11168\n2966 11283\n5651 7305\n5312 9021\n724 3576\n5061 9750\n1116 7608\n1296 1623\n1179 9536\n2717 10295\n4891 10435\n2479 11708\n9876 11955\n3918 8816\n1305 7585\n1678 3255\n1355 5868\n1102 11876\n7845 7878\n1415 4850\n1778 5960\n4864 7083\n1949 11369\n1477 3283\n6410 7654\n4806 6484\n1598 12106\n2656 4715\n5712 10677\n4682 5930\n1022 6096\n1551 8632\n10010 10993\n3510 10085\n1641 12071\n7841 9277\n935 7319\n622 9244\n4472 7161\n577 3977\n3910 7372\n3509 6709\n27 29\n3611 6813\n4 2050\n2400 5511\n4652 8696\n5956 11658\n569 7577\n560 1399\n3013 6608\n3755 9609\n1206 10980\n1174 1360\n774 8989\n444 8876\n2843 10212\n10338 11855\n8703 10608\n7479 7945\n2791 8997\n3318 3731\n667 12127\n2906 10815\n3706 10673\n3591 4340\n7619 11045\n3876 9921\n1581 11630\n5728 10991\n530 1442\n5948 12134\n6627 9173\n3075 5992\n11438 12090\n2744 10202\n2160 2180\n6365 6846\n2372 10170\n9915 11550\n8331 10040\n514 5017\n1572 6061\n3256 11597\n9022 11160\n3025 4928\n11049 12010\n1063 6081\n5872 6433\n4913 7427\n3868 10139\n4591 5329\n2581 5105\n1141 8040\n408 3598\n2584 11293\n2398 10566\n7850 8119\n558 6676\n2235 11106\n184 1271\n1989 10306\n278 11703\n6635 9552\n1042 11363\n9876 10948\n4334 7046\n2717 5557\n4750 10154\n4570 5163\n5401 8664\n628 1312\n7800 10768\n2612 2785\n1771 3674\n479 1194\n2163 8393\n745 12161\n273 3112\n2230 5871\n3372 6970\n2506 12196\n1734 4176\n7705 11162\n2483 10602\n10488 10923\n2219 9339\n49 2747\n8662 10680\n29 367\n4999 6377\n7889 9828\n1527 4718\n2468 11627\n7092 9444\n3638 10108\n2680 4050\n4852 10801\n6301 12158\n2479 9663\n55 6949\n3439 10418\n7939 8998\n626 5956\n2499 5098\n1654 11579\n5492 6060\n1088 9466\n2396 7600\n1793 7582\n804 1665\n2069 10568\n8250 8910\n4345 11577\n4131 11485\n5760 7106\n10080 10105\n621 11101\n2013 8417\n815 5514\n5200 9131\n240 8441\n2396 9457\n5268 6738\n8470 9999\n1788 3508\n2821 4359\n3910 8284\n1898 11515\n2996 6776\n9257 10141\n4576 10999\n633 9056\n10010 11949\n8311 9946\n6101 8331\n8461 9800\n6922 12162\n923 10952\n5020 6170\n1710 9358\n5584 9685\n4650 9678\n7792 11734\n2801 8474\n588 6335\n4357 4974\n2766 9315\n3166 11555\n201 8293\n1382 11516\n9589 10705\n505 9326\n684 5478\n3994 9615\n7494 12155\n779 9332\n2372 5051\n1243 4728\n7774 11058\n2327 7658\n6219 8837\n5635 8813\n2777 8024\n5603 10841\n788 4530\n4866 9756\n9203 11093\n345 10916\n967 7475\n1526 8942\n8193 9734\n4171 12011\n608 10368\n6505 9253\n1061 12109\n4346 6534\n420 4957\n4996 8540\n1384 11754\n6051 9137\n8750 10172\n8240 9239\n4143 7928\n7860 11960\n2602 9239\n4179 12169\n437 7598\n596 3205\n5842 8976\n11437 12182\n11972 12082\n1744 10847\n2145 3495\n638 6034\n5673 6277\n213 10205\n4000 7826\n9197 10763\n3676 4722\n351 2985\n8375 9271\n858 9822\n904 4873\n5574 6550\n10120 10965\n5250 10295\n1586 3709\n2649 9536\n9546 12041\n9082 12190\n43 5825\n7393 9971\n2069 7671\n4059 11489\n5888 11968\n2451 9626\n2176 3186\n838 3041\n5180 5319\n6666 10396\n4390 8968\n6342 9734\n4034 9822\n207 8110\n2223 5158\n3939 9020\n5806 9237\n1181 9728\n932 8513\n9567 11692\n1846 5424\n4561 6905\n6401 8660\n2808 3374\n9971 11058\n6664 10890\n413 4707\n6283 10232\n1444 2607\n6389 10103\n998 5275\n7540 11084\n4123 7808\n2525 8569\n6588 8324\n3337 10634\n2224 7369\n6186 12144\n3039 9379\n6429 10383\n2333 7431\n2290 3208\n881 11612\n356 11422\n5897 8876\n63 8757\n7571 8386\n5184 6995\n3631 8415\n2253 7675\n7636 8860\n4378 7387\n756 7736\n3718 12061\n10287 12121\n6285 7612\n5772 11023\n5688 6831\n2207 11103\n482 7849\n6580 7177\n2573 6970\n1989 2623\n4889 11404\n4412 9658\n5253 11577\n4586 10859\n871 12032\n3633 6340\n8690 10984\n8593 10615\n907 2590\n7030 10199\n8089 10154\n1300 10937\n858 5150\n494 5905\n2161 11570\n1245 7619\n6719 7053\n2108 2238\n3275 7733\n1682 2173\n6496 10025\n1819 11494\n537 9946\n3430 5794\n8142 11990\n1185 1574\n2042 5974\n3416 8319\n3877 8564\n1113 8917\n2896 4570\n4771 11120\n781 11867\n853 8465\n4631 10017\n5082 8368\n5187 12028\n369 2838\n8662 9537\n289 9545\n5060 7553\n1922 11688\n858 893\n557 2358\n10243 11637\n4010 9839\n3994 6793\n1398 11881\n575 3083\n1725 7920\n4301 10823\n2227 7122\n5429 9955\n8090 8330\n11056 11773\n3809 5167\n2276 10293\n9106 10998\n323 9234\n2118 9775\n4120 8455\n206 5284\n7071 9026\n5335 11220\n6749 9833\n3356 7184\n8755 9269\n151 7092\n2377 8647\n5351 10353\n1537 11634\n28 11299\n408 6994\n2828 10280\n449 7594\n5334 7746\n6180 10873\n2935 6024\n2701 5592\n4893 7292\n1517 9978\n8937 10783\n2144 6654\n5003 6189\n9710 10146\n4176 6996\n4330 6020\n5658 7539\n3143 10042\n5801 10971\n3719 8223\n3449 6970\n4083 12136\n5545 11144\n2227 9149\n6649 8691\n1608 8588\n2418 6833\n6466 10657\n4326 4975\n6449 10040\n1396 4762\n2348 6021\n3684 11318\n6438 11515\n1748 11192\n3254 9678\n4450 5957\n3171 6381\n102 1947\n3970 4431\n1535 7175\n2321 10134\n1003 5608\n1523 4715\n8991 10559\n3517 8312\n2705 7871\n5004 9329\n8825 11459\n1179 9511\n1264 5626\n3469 11996\n1724 7146\n5052 7199\n246 6570\n7777 8275\n5382 6053\n3310 11567\n1327 8078\n1035 8290\n6045 6481\n651 11061\n3296 3442\n2107 10370\n5412 8380\n6562 7090\n4882 11717\n2113 11933\n1185 11081\n61 4343\n7911 10576\n8018 8629\n2795 9071\n4536 9725\n8853 10429\n5641 9566\n2509 4273\n622 11299\n121 12088\n1313 7730\n1598 1992\n7952 8595\n1268 4462\n1769 3976\n7784 9640\n2435 4486\n908 10132\n10461 12021\n1862 11851\n9198 10218\n7904 8568\n1216 8835\n3411 9471\n1087 2912\n6044 12010\n3969 4345\n1247 5582\n165 7252\n2980 11645\n8129 8541\n4903 8785\n6166 10789\n2415 8609\n3107 11114\n102 5446\n1888 11713\n4509 4659\n9716 12025\n134 6096\n3300 5235\n4767 6828\n3154 3949\n3042 11176\n3402 5612\n10224 11298\n3762 7550\n1921 5521\n683 12173\n1098 8461\n1937 7818\n1970 8048\n216 1541\n6393 10506\n4325 6985\n4300 6084\n336 11562\n3056 10828\n1449 7751\n5102 9803\n4999 12016\n2160 7719\n2576 9730\n3793 6783\n5641 8495\n663 6918\n2991 11517\n6271 10099\n669 7858\n6509 9109\n2708 8492\n271 9967\n4456 7372\n4381 5464\n7844 11789\n2629 9561\n1111 4970\n591 11504\n3844 9004\n1883 9195\n4382 6940\n803 11187\n2113 10897\n5750 11276\n608 4064\n5731 10414\n207 7385\n584 8538\n3196 10522\n2531 4081\n8293 8602\n5632 8476\n1212 9474\n2585 4884\n6025 6607\n6842 10693\n1477 11930\n2373 11464\n830 1526\n4453 12013\n2295 8569\n7217 11361\n10546 12093\n8585 8970\n5230 6834\n998 8955\n4390 7339\n9233 11105\n6393 8231\n938 5854\n1216 4418\n3135 11417\n9538 11936\n4243 7053\n1229 7731\n3574 11444\n7390 8034\n9919 10344\n9121 12093\n3153 5852\n7071 8564\n2229 7050\n143 3276\n4365 8453\n5049 11512\n3341 6902\n181 3142\n5003 9947\n327 8289\n6950 7703\n1652 8993\n2082 6243\n7350 10622\n7835 10805\n3794 5813\n4596 10178\n3101 9998\n2500 8481\n290 5462\n7122 7412\n3035 3903\n1365 8116\n2591 3748\n2319 6922\n2397 3054\n2430 12064\n6350 8506\n7070 7500\n1460 3916\n3578 7260\n3770 11039\n563 7063\n5166 8570\n6868 9452\n6001 10642\n1498 10026\n4107 6958\n2620 11805\n4084 10335\n1764 11940\n7509 11635\n9642 9809\n6307 8713\n6398 11061\n792 7023\n5108 9223\n3692 3870\n1859 11788\n6867 9721\n7890 10658\n2235 9007\n2050 6424\n3071 8971\n3039 9426\n604 9956\n3393 5977\n586 9705\n3518 4665\n6582 8756\n2784 8383\n202 9662\n388 4658\n5952 8612\n5488 5568\n5247 7249\n6020 8935\n8318 8600\n908 5893\n5926 8724\n5151 5734\n9811 12184\n3480 6854\n1003 1879\n3645 4982\n6324 11458\n8797 11517\n3147 9522\n3675 8560\n2457 9388\n2686 11437\n5047 8679\n6146 10505\n4742 11247\n1537 2620\n3463 11720\n5669 6839\n767 11388\n8545 10083\n3570 10490\n5923 11324\n1231 8898\n4142 11122\n2249 11007\n6974 7133\n9165 10205\n6780 12113\n874 5466\n4462 7347\n7782 8626\n1844 6849\n10487 11129\n7690 9855\n2869 9470\n5249 7537\n5930 12002\n2356 7394\n3578 6289\n5981 7356\n8064 10311\n6661 6850\n4758 5729\n9353 10300\n7788 8665\n10629 11363\n4109 5078\n2892 7792\n9619 9663\n7995 10401\n2937 11250\n3172 7534\n1615 11122\n10122 10865\n2940 3746\n4636 6942\n7309 8965\n3329 8437\n3421 8149\n4145 7181\n6645 10209\n2750 9715\n4079 9521\n563 9030\n2629 5083\n4509 9575\n7055 8330\n5405 11052\n3471 8655\n363 6762\n1030 6743\n3274 8928\n5682 10511\n8898 9810\n2535 7440\n3909 6250\n5466 10192\n5800 6721\n1551 11769\n173 1989\n594 11285\n466 486\n1564 7470\n1221 4957\n5384 5975\n3584 9108\n1952 11917\n2145 10523\n4907 7391\n3640 7988\n5155 11022\n6793 11881\n2656 5851\n2316 7428\n5127 6414\n338 9060\n10791 11514\n5075 9959\n966 5062\n4752 4956\n2738 9485\n2432 8982\n3476 7134\n30 10798\n2785 3005\n4293 7004\n2345 6548\n235 6388\n4941 10728\n8568 10465\n3793 4222\n2913 8563\n4157 9321\n161 7975\n7626 10665\n3833 11344\n5615 7673\n5733 10554\n2216 8683\n4478 6559\n3958 9615\n7374 9545\n6451 11589\n7366 8926\n7453 11395\n2576 6244\n3630 10046\n7038 10027\n425 8232\n6748 7299\n4069 5266\n3005 7571\n4493 10380\n4818 10652\n8884 9131\n7450 8285\n1554 10992\n10020 12114\n7182 9422\n4451 4626\n3479 12105\n9178 9370\n5105 7388\n1159 3908\n706 1498\n5404 11341\n3500 7390\n2711 3170\n6945 10774\n11040 11747\n7275 7456\n1103 8759\n258 2375\n92 6037\n2033 6322\n4732 5999\n4217 4266\n8816 9041\n127 5665\n4864 5176\n3401 3709\n2939 3014\n1958 2442\n4222 5798\n4653 4705\n3115 7543\n1695 10227\n5363 6220\n4222 10193\n467 11491\n8048 9504\n4274 6383\n135 248\n326 8943\n2072 9817\n3249 4589\n2262 12010\n2644 8629\n6218 6751\n699 1737\n5347 8993\n6835 11970\n5751 11769\n610 10754\n3308 11104\n6644 7385\n5166 6562\n7234 8798\n1000 8336\n5929 7325\n602 6231\n3793 11746\n1818 7062\n7957 10789\n5684 8091\n342 7054\n6259 8238\n3706 4351\n2730 12168\n3805 10724\n6858 9533\n892 10011\n4734 9526\n3344 5075\n455 3872\n5154 12115\n5203 5678\n3606 5727\n7333 9546\n2088 2281\n2162 5764\n2329 3192\n2759 5196\n5750 9924\n5420 9889\n5276 9232\n1354 7210\n6864 8924\n3463 6181\n10084 11037\n2198 3450\n1138 8696\n926 11756\n2719 11847\n2236 3710\n5500 9549\n4482 5681\n1138 6407\n600 10054\n10723 11193\n1477 7618\n6284 9677\n11941 12167\n10388 10421\n2024 11500\n4605 9882\n3736 9335\n1447 5272\n3060 9319\n540 6163\n2032 5080\n1620 11060\n1479 5295\n8145 8332\n1584 7889\n4258 9687\n2153 10579\n662 6144\n215 12166\n5445 8907\n152 1026\n1435 10392\n5814 9040\n2261 11539\n1425 4552\n4175 9031\n1088 5121\n4034 4174\n4361 6822\n3178 6670\n1498 9228\n148 5042\n4253 10113\n4253 9176\n754 4112\n5904 7402\n1480 2970\n5770 10705\n2691 3972\n2968 3184\n4822 11418\n1530 5519\n5107 5999\n3548 3666\n2962 3835\n945 9043\n2079 11833\n122 3892\n2248 6759\n7578 11517\n3014 6640\n1189 6049\n193 7967\n991 5326\n4430 5013\n2639 2736\n6416 6764\n79 1598\n5447 10426\n5389 11255\n7045 8119\n4396 11091\n1022 8868\n9445 10205\n2008 7720\n4426 7431\n7834 7945\n1204 11546\n6940 7231\n2521 7560\n1051 3058\n3190 3875\n2891 10449\n624 4688\n3247 5220\n3726 6186\n916 5300\n2796 10474\n8925 9992\n8232 11529\n226 9013\n8388 12052\n3887 4549\n2070 3551\n775 2859\n196 5035\n7058 8820\n4186 6084\n2862 10670\n2815 9996\n5187 9648\n4759 8483\n6444 11149\n5754 12050\n7058 9122\n3799 7280\n703 8959\n3591 6622\n4080 10086\n896 3279\n415 11940\n3519 4811\n6186 8197\n192 1662\n3594 6064\n1431 10832\n2658 9111\n106 9355\n7719 9172\n4047 6196\n1835 6189\n714 11185\n4755 7985\n2819 8248\n1218 8199\n5299 10316\n2757 10027\n8436 9937\n1511 7339\n6301 9581\n9007 11893\n3707 4703\n7346 9833\n203 8741\n5880 10353\n108 6582\n675 1634\n7746 11228\n7407 8470\n4243 7149\n5174 7756\n1539 1966\n2978 5827\n7988 8068\n1374 3927\n5592 12132\n4060 11725\n5324 6894\n946 11251\n7041 9437\n4869 5966\n8601 11937\n1259 3168\n1295 5685\n6901 7638\n5613 6357\n3182 4056\n9691 11642\n1742 2588\n6421 9423\n752 976\n1271 7901\n2019 10774\n3410 8205\n3215 8132\n5456 8743\n1190 11157\n115 11101\n8460 9863\n8428 8622\n748 9384\n577 1513\n6643 10895\n5820 9977\n5510 8262\n218 9475\n2088 3681\n4657 6938\n521 2098\n7008 11033\n9798 10957\n1972 5021\n2686 8535\n7413 11062\n7725 9625\n5908 11333\n5195 5349\n4925 9610\n1086 10649\n499 11772\n1054 8846\n1732 2078\n7403 10192\n3574 7660\n1742 4653\n2202 3918\n5905 9956\n579 3258\n669 8146\n6796 7106\n2562 6326\n4159 7982\n3476 4139\n9534 11809\n7417 10639\n1233 3027\n4496 9199\n5029 7362\n797 2289\n23 2576\n440 8323\n377 613\n1590 7746\n2921 9760\n6154 8660\n1272 8612\n4138 8632\n9076 10399\n5158 8568\n3178 6885\n2137 2368\n4098 4808\n8385 10606\n4042 6385\n1020 7145\n2904 9235\n7799 12069\n1788 2814\n1009 11528\n5731 9442\n2351 10332\n3237 6287\n3818 11370\n6131 7072\n3955 4778\n679 3582\n1116 9570\n10856 11967\n4865 6529\n518 3174\n2144 3493\n9153 9469\n4481 5773\n8052 11904\n8943 11040\n5311 7725\n3427 9535\n1109 11208\n7643 11286\n11192 11346\n751 5272\n605 3474\n1431 11399\n95 11357\n8335 9035\n1070 11236\n5402 11062\n3964 4661\n11122 11695\n4021 5753\n4050 11442\n6575 6722\n2634 11972\n7651 11620\n6610 7839\n6130 11547\n4580 8174\n3703 8172\n1328 8180\n2025 7871\n9928 9936\n4986 6051\n7576 8222\n3309 10376\n4827 7197\n7019 7166\n1255 6436\n2633 7499\n2377 7373\n1369 5865\n5315 10704\n857 6016\n2277 5408\n500 1365\n75 5268\n2469 10998\n517 9755\n2594 3481\n10605 10894\n3668 10966\n1679 3139\n2742 8749\n2563 6454\n1591 1934\n4229 8865\n1541 7355\n4273 6286\n5900 9314\n4503 11250\n7940 11367\n3559 6840\n6349 11562\n1680 5692\n6561 8721\n497 3016\n2876 5251\n4502 5588\n3059 6276\n2724 9403\n823 6174\n306 347\n644 4899\n2185 3158\n6106 6895\n6803 11898\n1083 5471\n2187 4693\n1614 2778\n2605 11711\n6924 8998\n3344 9647\n2630 7848\n307 4728\n8435 12138\n2200 6159\n2592 11933\n476 3019\n4015 11208\n1333 3866\n6627 8862\n3093 11064\n10657 10800\n6735 12144\n10794 11378\n1417 2696\n5199 10640\n303 704\n1958 12031\n488 5528\n5459 8148\n6301 6533\n1596 6767\n6239 7667\n4226 5400\n1822 9467\n2568 11100\n4012 4600\n2592 8868\n3311 6013\n2629 6631\n2728 3319\n6743 8010\n2197 10209\n3064 5617\n1756 12116\n10670 10807\n7062 9802\n5735 7328\n423 8617\n8752 11288\n3266 11995\n7872 9366\n2719 5400\n5285 9189\n7097 11225\n1591 8605\n3493 5803\n1774 6803\n4143 7220\n1095 8339\n3907 3912\n501 4673\n2108 9404\n6727 10665\n1177 9730\n10494 10884\n1512 2662\n1218 5553\n337 1759\n6389 7527\n7225 7712\n857 12105\n5608 11947\n1714 11846\n2183 9142\n1611 4682\n6421 8133\n5615 6348\n865 6643\n539 11642\n7473 9976\n4880 7883\n119 8244\n4637 7210\n8520 10510\n3693 6702\n401 532\n3125 11038\n7410 9520\n8594 10639\n992 7754\n9726 9978\n5718 11523\n3224 11758\n1320 8979\n7983 10659\n2420 2565\n7192 7872\n1396 1913\n5205 11557\n3108 5323\n2486 2729\n9026 9599\n518 553\n4812 8288\n1367 4733\n2640 11357\n4622 5659\n138 2331\n6675 8132\n4104 5128\n3481 9207\n5648 9688\n3632 6221\n2300 2754\n8280 10430\n3607 9478\n13 11423\n5928 8818\n8256 9157\n8067 11507\n6924 9713\n2784 5393\n2977 3444\n1936 2283\n5025 5653\n6233 9862\n740 10433\n1531 5960\n363 12174\n10830 11958\n2084 11732\n99 3650\n7911 9736\n1176 10297\n4564 10643\n7964 8742\n5862 5915\n2016 6322\n2920 4017\n1075 9636\n5367 9866\n8701 11264\n8595 10039\n2096 8207\n3076 4647\n1855 6835\n797 7172\n6962 7534\n327 6000\n7179 7514\n3262 8550\n8568 11890\n6392 7652\n1668 5846\n5459 11693\n10263 11491\n1705 5158\n2672 10124\n5005 7467\n3909 11113\n2707 7553\n4366 11145\n3 4873\n1253 7557\n4332 4833\n11460 11595\n5022 6564\n7573 9939\n6421 7395\n1220 7215\n2800 3524\n3351 7751\n8059 11501\n5526 11441\n2801 9416\n4890 10487\n7625 12035\n112 3752\n4064 10479\n491 9612\n1816 9752\n3411 9547\n2214 9743\n717 5802\n1215 11644\n3294 6633\n4026 4472\n10398 12191\n205 2440\n448 7560\n4257 6697\n1635 7713\n10883 11780\n4125 5405\n6633 11433\n5561 9003\n885 8228\n865 4183\n4135 5107\n6177 6386\n8157 11302\n4944 11572\n7037 11977\n1094 4198\n4610 5932\n2947 7918\n5074 10536\n1534 6923\n5199 9336\n1733 4469\n10151 10908\n9097 9101\n5634 8131\n4013 9260\n1559 7807\n758 9125\n3168 5914\n2427 5614\n153 566\n4230 6381\n5723 11028\n5971 8468\n9800 11999\n9349 11991\n2524 7619\n3504 10537\n2986 6235\n7856 10659\n3219 10033\n4125 9290\n2837 10643\n9492 12082\n7324 9997\n10165 10433\n9432 11961\n2443 10911\n9706 9806\n5044 9565\n8144 10000\n5537 7691\n6154 7456\n7204 11748\n2414 7056\n4771 8668\n224 5256\n8524 9614\n2955 10126\n661 4479\n1481 7845\n1528 6694\n4650 8377\n3117 10405\n3192 5174\n6777 6827\n2765 11011\n458 9630\n3170 7226\n3986 8959\n5345 8965\n4807 11506\n4996 10175\n3119 3532\n3283 4511\n9739 10321\n5476 9159\n1801 7981\n6838 11080\n4340 4585\n313 9838\n1435 3726\n5990 10128\n579 11330\n7908 8452\n10110 11596\n772 8555\n5529 11471\n3155 12132\n3216 4857\n507 523\n1278 10349\n11997 12018\n3490 10432\n33 2177\n3054 8243\n1660 4264\n915 11401\n5373 5691\n7016 8804\n1739 1767\n469 1758\n783 3849\n2867 9976\n2462 4080\n11642 12136\n4236 6918\n160 1072\n7131 11647\n3048 4157\n2976 11825\n6086 8999\n157 3984\n4519 9883\n6864 6955\n5675 12131\n1936 6158\n8269 10337\n2862 9357\n10653 11149\n1310 7042\n3912 4050\n4872 5196\n7484 8381\n3135 10725\n2230 10620\n1598 11953\n1138 4703\n9609 9781\n3916 11622\n6556 11522\n7653 10087\n3820 7061\n3662 5359\n2114 3736\n5065 5331\n1076 1678\n723 6461\n4055 6018\n310 3819\n5765 5781\n3308 4787\n6224 9396\n7792 11642\n8129 10255\n6479 7287\n1204 1392\n3231 10690\n1541 6606\n11565 11626\n6954 9836\n4964 8277\n7794 11866\n2419 11324\n6522 7868\n1795 6038\n4158 9874\n10722 10928\n892 11475\n2105 9787\n3001 6180\n1142 4121\n5215 11301\n6880 11337\n1309 6431\n1671 4450\n6876 10625\n3972 6612\n8046 10258\n2385 9699\n196 2025\n4811 11389\n3443 5144\n2335 4412\n535 662\n693 9391\n1139 5774\n11154 11268\n82 7874\n2878 6821\n397 2948\n2288 4669\n2096 9490\n1769 4423\n1914 2185\n4587 6043\n1326 7776\n10263 11447\n1600 8368\n3404 4285\n5496 12040\n903 5892\n2272 2847\n1546 7059\n1796 6974\n940 8174\n990 9544\n7195 7966\n748 10577\n922 8788\n1856 11255\n7763 10694\n434 5528\n490 1603\n1446 4924\n4950 10252\n86 5919\n5252 11348\n1184 7380\n4703 5441\n8607 11507\n3555 4369\n9137 10444\n6663 8246\n7164 11973\n1482 4814\n4929 7685\n48 11157\n4660 11683\n3012 3280\n6188 9856\n3943 4753\n1592 10563\n4730 7623\n4491 11737\n2822 10926\n1183 3343\n7427 10887\n5522 10250\n2355 7281\n2353 9637\n2289 8472\n9821 9933\n1478 5661\n1698 10381\n2196 7580\n2810 7550\n1569 10955\n2291 11666\n1830 11666\n3324 8616\n2426 8576\n2193 6110\n1140 3570\n8743 11967\n1484 6103\n731 10690\n11278 11383\n530 6339\n5852 5966\n989 5418\n5033 6600\n6059 9880\n10115 10566\n4538 11153\n2054 2477\n2209 4368\n4936 7716\n646 1349\n969 1157\n10 3002\n1505 7691\n38 867\n477 8537\n10912 11315\n7151 7731\n627 5872\n4542 4637\n8287 11988\n4844 7976\n504 10831\n5090 11941\n7177 11055\n604 8723\n127 2980\n2528 11880\n2630 6316\n2757 9327\n2590 9782\n6579 11846\n2480 5973\n2158 3275\n1657 4383\n608 11297\n4722 8866\n6239 11865\n10988 11023\n2005 4918\n6076 10597\n9544 11583\n1243 8568\n847 3357\n767 3537\n3674 6870\n4336 6271\n4347 9646\n6225 6796\n7518 8587\n6657 11125\n933 11049\n1530 4854\n7737 8097\n405 6724\n2501 3057\n6809 7843\n2277 7527\n805 8518\n6808 8868\n1118 4412\n10049 10178\n3400 7314\n5515 8335\n5569 7913\n1324 9195\n2510 3091\n513 1776\n6733 11949\n1081 6079\n593 8237\n6866 10297\n4042 10385\n841 11231\n7973 11967\n5481 10648\n7031 10515\n926 11084\n9152 10020\n9705 9991\n2114 11673\n4025 4776\n4159 7917\n1639 10274\n7267 10420\n5989 7945\n4316 5941\n999 8425\n2238 8010\n746 7373\n2770 2822\n3651 5479\n6075 8028\n2118 11861\n536 10465\n4152 9918\n5421 11986\n391 564\n1012 11599\n6900 8366\n1383 7481\n1814 2862\n3616 6257\n8247 10751\n1750 4400\n4272 8243\n3204 8794\n4228 6135\n4668 8580\n1115 8108\n2649 10959\n4852 7018\n1625 7797\n6940 9194\n3314 5215\n3953 11018\n579 6787\n11545 11655\n7472 11903\n8151 11665\n2342 4100\n8395 10926\n5895 11220\n2173 10413\n5843 11644\n2538 3749\n11199 11254\n2464 9141\n11246 11503\n1865 6568\n1322 11459\n3199 5958\n4362 9719\n5240 11546\n690 5643\n6476 7141\n396 1267\n133 11857\n1070 8202\n627 4248\n4578 9622\n3090 9697\n3591 7586\n9260 10825\n2800 7940\n5922 7874\n8954 9157\n8457 10708\n1741 11208\n1564 6702\n1338 2276\n4964 7461\n7528 9945\n2778 9464\n1029 1893\n6190 11985\n1817 4826\n1465 10966\n8686 10792\n1722 5305\n2160 11834\n318 1167\n4502 7483\n7224 8287\n7881 11261\n2485 4089\n403 7067\n1887 3149\n4975 8974\n3748 10843\n5788 6829\n1329 5710\n7684 11930\n5906 6157\n3795 6794\n5906 7054\n3274 5328\n4312 10645\n2653 9974\n10607 11875\n83 9437\n3807 4471\n3513 4172\n914 8694\n5007 8528\n289 9764\n8974 11523\n5419 9451\n9361 10450\n3864 10288\n8713 10645\n1709 10271\n3302 8164\n8807 11327\n3049 12146\n1009 10479\n7852 11821\n770 1563\n9164 9368\n6009 11624\n8680 11778\n5151 6494\n2512 9028\n976 2665\n2701 9152\n539 755\n5209 8033\n657 895\n9522 11407\n2605 2798\n9160 11376\n26 3584\n5059 6528\n6097 6149\n1382 7369\n1998 5298\n6572 10205\n5621 10966\n5874 7067\n1008 2244\n1867 5833\n2388 11421\n3802 7392\n265 2821\n859 9535\n1713 5341\n6246 11956\n8810 9326\n7282 11909\n20 4848\n8534 8835\n5093 5313\n9391 9598\n2176 4752\n5735 7938\n3041 10475\n7102 11514\n8715 10661\n440 3856\n6261 11255\n15 11693\n139 5948\n788 1170\n4913 7351\n7513 11871\n6395 10740\n5938 7924\n6593 9074\n581 1455\n554 2060\n3807 11883\n46 2095\n960 4187\n8539 10477\n6664 8330\n5011 5949\n2671 11204\n848 11988\n7326 8767\n764 9459\n1005 7761\n287 4885\n245 6759\n4086 7127\n2530 10179\n1892 10492\n2682 8966\n5599 8502\n10769 11105\n3514 10092\n6475 7182\n3109 10479\n6396 11691\n7970 8166\n7588 11019\n2258 7522\n6227 11028\n10206 10434\n8061 10416\n7695 10914\n3456 9138\n4574 7351\n521 2092\n2149 7309\n4399 5328\n737 9115\n6582 8622\n6839 11789\n6951 7366\n3787 10163\n1183 5326\n2179 3359\n2947 12138\n3090 4033\n3995 8897\n8180 10426\n1306 1830\n1162 7154\n110 10015\n4285 9152\n833 6792\n3159 10017\n6492 7057\n4104 11211\n9513 11390\n9734 10220\n3353 9539\n889 5137\n788 9915\n689 781\n6797 11744\n415 1553\n5237 9104\n7330 11334\n4574 10625\n1381 12090\n6329 9280\n4875 10740\n6652 10710\n1492 6415\n7647 9650\n758 5014\n9877 10330\n10209 12112\n4000 6759\n1571 4192\n1053 5703\n5230 6651\n4766 12148\n3751 5317\n3716 5634\n444 8032\n212 11098\n7603 9166\n55 3047\n66 1687\n347 3792\n6088 8132\n4738 7013\n7601 9421\n3700 9173\n3804 6824\n10981 11454\n10228 11965\n2018 2277\n4152 7797\n170 6882\n1703 9591\n4245 12140\n7797 9299\n2399 7365\n10005 11455\n6156 10644\n4096 7778\n3220 7910\n1446 9807\n3714 10759\n622 7179\n6097 11353\n5121 8531\n2902 11749\n4197 4888\n998 11778\n3883 5832\n783 6308\n725 8654\n5098 11430\n2562 7503\n8801 11041\n6874 10759\n1774 4452\n9633 10170\n10108 11874\n2762 3642\n6458 9077\n3573 7624\n8401 11334\n5392 9033\n2825 9749\n97 6540\n3095 8119\n2425 5016\n4045 9129\n3432 10997\n3894 7958\n7137 11046\n2137 4389\n85 9494\n3365 6436\n3110 11882\n3138 6042\n2765 8479\n8884 9519\n8722 8851\n303 4645\n6174 8458\n6004 11123\n2510 3224\n2007 4766\n2296 2608\n4435 9625\n1996 8433\n340 10469\n4893 8796\n6177 11191\n6018 11868\n5785 6763\n4294 7190\n5458 11871\n7742 7908\n8942 9694\n1275 7024\n6810 8327\n131 10916\n10301 11689\n3759 5376\n2133 3780\n3343 11727\n860 5973\n1344 9699\n3239 4009\n2537 3430\n4610 7540\n2917 8824\n5931 6033\n7587 8896\n1079 2437\n4269 8236\n1079 6321\n178 3359\n2353 5672\n7445 8746\n318 7355\n6786 10459\n1588 7508\n8317 11784\n2417 4711\n3543 11752\n4622 5683\n3416 11912\n6223 11765\n2425 8971\n7984 8880\n3960 5787\n8877 10079\n502 4372\n966 10228\n151 9663\n5353 10128\n8135 10095\n8087 9431\n4991 7070\n1525 2514\n2198 3083\n931 10611\n4324 10538\n1354 6327\n283 3750\n7764 7879\n497 8609\n9503 10853\n3936 5745\n1036 5994\n1449 8193\n6906 9245\n9980 10375\n2132 6930\n4700 10928\n3652 11807\n2495 3671\n2381 3745\n368 9752\n1034 7333\n1134 11739\n3379 3559\n1758 2274\n7790 8069\n7583 9660\n1264 11031\n3231 12166\n2822 12023\n4375 8292\n4105 7327\n795 2763\n561 1724\n3070 4903\n98 2235\n2171 3219\n6062 11095\n7907 11878\n4269 8832\n1667 6077\n3786 7254\n1699 5219\n6571 9405\n5138 8629\n6163 9341\n729 5369\n5689 9908\n4756 10513\n6884 11490\n4959 6958\n3556 8190\n4755 11845\n1152 8968\n273 5054\n682 10753\n8697 9588\n10843 12158\n158 9251\n3968 9518\n7921 8757\n5604 11300\n4315 7429\n11385 11906\n3084 6508\n4682 9378\n1053 8756\n3253 5243\n961 7655\n2512 2773\n7461 11546\n10013 12121\n8501 8575\n2279 2869\n10689 11263\n3782 6766\n2703 11292\n1934 7883\n1569 11956\n7387 12058\n2721 7930\n1369 1458\n8774 11265\n2055 10702\n6819 11359\n4790 5398\n7549 8220\n1392 2261\n2709 4869\n374 800\n7800 9742\n1525 2827\n639 11977\n2118 3524\n163 11588\n1959 3853\n947 4420\n5819 10994\n3427 5655\n7165 11660\n3439 5604\n2372 4368\n129 5938\n8179 8923\n1038 10083\n4238 9518\n8240 8760\n2667 9768\n10822 11993\n1126 4579\n1958 9416\n1792 10814\n6544 6960\n1240 4459\n7893 11544\n1283 10037\n1906 9550\n685 5543\n2192 6239\n3001 8815\n2631 5746\n4099 10064\n2053 6024\n8563 11700\n1616 6791\n848 3319\n4350 7454\n9729 11897\n1674 6536\n46 183\n325 3084\n6725 8121\n7620 11038\n11685 11810\n3598 6720\n6497 11756\n987 6132\n4580 10013\n3459 7241\n4864 6656\n1695 9239\n577 2410\n6177 10802\n10238 11777\n5567 8059\n5569 5843\n3773 6320\n6133 8454\n4216 10159\n9755 11766\n8935 9970\n811 8088\n8009 11629\n7467 10737\n2428 4554\n5206 8614\n44 3279\n2219 7258\n4947 8540\n1227 2502\n988 8150\n1857 4021\n4889 7892\n295 3147\n1829 11245\n238 8417\n6174 6911\n576 1696\n4925 6652\n460 4862\n4098 10129\n2187 6582\n776 2810\n3965 3979\n7981 10592\n2681 8858\n3732 11283\n700 7915\n484 8318\n3744 5936\n617 2065\n9391 11947\n2416 8793\n4006 6882\n807 4406\n2907 6137\n4525 6412\n577 2741\n9178 9553\n5333 10506\n1320 3884\n2876 11796\n4711 10026\n7185 9041\n670 1661\n5590 11503\n731 11901\n6138 9993\n657 4117\n9095 11234\n5679 9885\n4429 4824\n122 9804\n5574 9040\n2982 6820\n3257 8572\n246 514\n4426 7754\n289 6852\n6095 6784\n1182 7069\n854 3905\n1691 11897\n8131 10795\n3985 7549\n2864 3229\n2391 11917\n7112 8222\n11213 11231\n10499 10743\n3315 10726\n1467 6640\n3884 7878\n8227 8602\n3266 6930\n1895 6970\n1204 2853\n1542 6067\n6737 8247\n6088 7461\n4669 7801\n7487 10237\n4251 6339\n568 8550\n6981 9372\n2853 4587\n1093 2596\n3882 9648\n5765 9042\n1017 9986\n4807 4998\n3412 4422\n7025 11428\n6069 11375\n256 7677\n53 6558\n6318 9857\n1560 9658\n4812 9875\n1657 2119\n1059 9903\n5085 5876\n4064 7262\n185 7793\n1360 4463\n8337 9534\n8467 8534\n1999 2449\n2178 10892\n442 4183\n7905 10367\n9280 10370\n5906 10607\n2671 9602\n6021 7338\n2206 10060\n5974 10870\n7076 10570\n6311 8848\n1009 5648\n5508 10222\n1405 11785\n3775 9853\n3662 10992\n3176 4436\n11037 11862\n5298 8188\n7412 10977\n5651 6496\n18 10750\n3545 5608\n6185 12116\n11741 11817\n7645 11848\n2533 7320\n336 8218\n8452 11619\n6123 8872\n1982 5906\n1832 4814\n3509 8633\n5970 6869\n2481 8050\n8750 12000\n10296 10656\n4586 5352\n3822 8669\n264 4244\n232 5251\n1871 11228\n5895 6207\n557 4626\n5552 6721\n7957 11091\n4728 5455\n4377 11560\n11793 12159\n929 8084\n7357 11432\n8438 10805\n3222 6418\n879 6454\n6407 7722\n4339 11525\n4522 10122\n380 3748\n4575 6252\n1994 6163\n3782 7776\n1113 1273\n2733 9269\n3453 3943\n915 7846\n2691 11419\n4738 8359\n647 10401\n7713 8134\n1490 1608\n8396 10552\n9175 10205\n5367 11817\n2139 8542\n2908 10217\n2814 9649\n2183 9729\n1083 6820\n942 9543\n802 5788\n2342 5647\n9870 11670\n5275 6204\n2080 2732\n2533 10260\n3374 8989\n225 9503\n1868 6093\n2503 9724\n5197 11269\n1987 8825\n9342 9752\n5696 9167\n3089 6054\n2186 12103\n930 10862\n1768 5630\n1820 9719\n1532 2677\n6334 6497\n2999 4547\n7678 10133\n8091 9640\n1808 2353\n9541 12083\n2358 2834\n2218 2620\n5636 7787\n1047 11602\n4200 11562\n6268 8468\n2011 2617\n8388 9685\n10585 12041\n2636 8867\n410 6571\n10847 11313\n9474 10005\n5028 10456\n4635 5514\n1239 8235\n5418 7916\n552 10453\n6283 8309\n5960 12135\n1433 5602\n8581 9137\n5301 5372\n2705 5307\n2897 4416\n193 6248\n2108 8505\n3122 8083\n3261 12084\n9838 11677\n9252 11399\n10474 11359\n4117 7269\n2489 10125\n5116 9014\n3931 11203\n3348 10819\n2357 3070\n5373 8636\n5669 8030\n7668 9631\n4569 10599\n3563 5188\n4727 11347\n4145 4733\n7555 11017\n3879 10391\n7563 8105\n254 2179\n5868 8867\n8933 10729\n6313 7101\n258 4994\n4858 10658\n6619 11285\n4610 10496\n259 908\n587 649\n9182 11903\n181 5574\n436 621\n5185 11700\n5303 8428\n4682 10351\n7829 10782\n7863 10879\n6307 6447\n2402 7960\n7190 10523\n907 11633\n6006 8000\n1872 4376\n278 2794\n423 10459\n8996 10883\n725 5038\n5275 11244\n2660 10691\n6360 11878\n5082 8333\n2392 11256\n6712 7954\n4036 5072\n6865 11953\n8094 8975\n1585 11855\n5672 9361\n4160 11694\n6944 11852\n2828 5526\n8946 10131\n5348 9291\n4962 5344\n10189 12024\n858 5466\n5649 9785\n953 3528\n5019 5404\n1008 7186\n5813 10498\n5584 6348\n2690 7385\n571 5871\n2410 9273\n5575 9208\n2388 7732\n5081 7542\n819 9088\n1670 8008\n4080 11609\n1019 6854\n656 12109\n1968 7865\n9518 10363\n1907 11019\n4164 7308\n1892 10821\n4795 9800\n3738 4642\n7833 9266\n1583 4813\n3778 7184\n1514 11507\n1536 4125\n8774 11491\n3053 11312\n7282 9307\n2401 7992\n5673 9536\n3876 5794\n3564 11074\n3798 9053\n1717 9792\n5531 11980\n287 4215\n4566 11846\n2260 6123\n7496 12190\n313 7822\n1353 5156\n8576 11707\n6544 6988\n2879 11479\n3477 9168\n378 3409\n11068 11863\n1909 1938\n1212 6166\n1913 8956\n5784 6618\n9583 10908\n1693 4703\n5492 11038\n6145 7668\n1750 9832\n10000 11117\n9157 11896\n1054 4662\n4145 11064\n345 9504\n2176 11941\n2336 3731\n1498 2781\n4915 9957\n11107 11214\n5601 8551\n308 5681\n4681 10817\n10576 11445\n2361 4787\n3710 4753\n7794 7815\n681 3929\n1780 11151\n7806 9666\n1011 1249\n420 11574\n661 11397\n2114 11447\n2646 10573\n2556 7611\n8265 10999\n6523 6738\n3534 5244\n3344 6507\n5840 11922\n2141 10318\n908 7305\n5851 11403\n5218 7145\n6293 11523\n2953 7388\n7495 8143\n3891 4018\n5580 12159\n247 11383\n1260 8154\n5767 9470\n733 6206\n3176 10397\n5702 6269\n7618 9162\n7732 8261\n7459 11839\n443 5181\n4458 7602\n3381 8213\n7304 7969\n3401 8931\n263 870\n1768 4104\n1208 11288\n3533 11368\n9048 11842\n4519 6315\n1475 3587\n8168 9326\n3015 3888\n331 10052\n570 4016\n7857 10727\n6892 7623\n4775 5651\n1224 2377\n690 10822\n2020 3433\n6636 7711\n897 5918\n3236 7695\n3735 11231\n6919 9435\n2197 5879\n7772 11301\n4991 9740\n1733 3784\n9162 9750\n4862 8828\n917 8590\n1684 10872\n2785 5062\n731 1539\n6859 9076\n2898 11005\n7062 8495\n2136 6435\n2512 8517\n1111 3496\n207 6087\n1542 7263\n4578 5798\n5301 7188\n1421 5653\n1304 11792\n6754 7943\n8222 11392\n3960 5053\n933 8260\n5997 10046\n6208 11030\n4794 8248\n1214 8737\n1615 11969\n5330 9790\n5029 12137\n255 10432\n3179 8351\n1967 4539\n4556 8498\n857 4912\n4631 7170\n4459 5664\n4707 11849\n2177 6866\n2832 10910\n627 4486\n1702 5444\n4412 11395\n4850 7690\n3579 10275\n2485 3276\n933 4946\n38 7784\n54 4190\n6193 11767\n4753 10615\n4830 7921\n1745 10817\n5650 8603\n7015 11742\n835 12083\n8574 12106\n3022 6013\n10123 11036\n6156 6458\n2923 4559\n3100 6350\n6234 6692\n5534 7331\n769 6960\n3127 3654\n1133 8646\n5157 7847\n3067 8240\n880 9784\n3532 4247\n4940 6893\n1261 10132\n5157 6850\n838 7881\n1010 4565\n207 2325\n509 799\n1332 8521\n4330 8128\n676 8624\n8033 10115\n4997 6296\n974 6293\n10598 11330\n2638 6930\n289 6020\n1733 10051\n7034 12116\n4863 8906\n5018 12014\n9250 11595\n5948 11661\n2056 11928\n7687 9717\n4222 6002\n6838 7610\n4022 4195\n2200 10194\n4685 7926\n2750 3903\n1256 2378\n679 9881\n1706 7845\n3564 9351\n1412 11554\n9488 11632\n8896 9583\n6500 8353\n367 11984\n626 3282\n1105 2888\n10660 10858\n7736 9020\n2624 6320\n3620 5870\n1081 5653\n1085 2391\n4405 9703\n9295 10905\n9596 10177\n62 6568\n5826 11675\n5102 7141\n4840 10932\n3652 6281\n271 1580\n813 8199\n2340 9988\n7990 8841\n9125 10362\n3597 8866\n3201 12057\n6449 9405\n6083 9901\n4363 6124\n557 4779\n6126 6564\n9273 10436\n446 9656\n6667 8697\n5384 7489\n8892 11066\n4314 8049\n4518 12073\n1993 11690\n4098 5902\n766 5513\n9555 10133\n1380 10016\n5008 8361\n4366 11648\n3671 7209\n3021 5060\n928 5918\n2546 10277\n8406 9221\n7538 7663\n4419 10460\n2939 9700\n2939 6450\n4219 5651\n6568 12062\n5323 9831\n2146 6283\n6765 6780\n3048 10553\n4613 5817\n2172 11963\n760 3527\n3898 3903\n326 2753\n2973 4970\n3329 9245\n377 8431\n3462 9628\n2248 9659\n3688 5234\n4627 8012\n2753 11951\n2770 10461\n6351 8553\n479 11651\n2211 8641\n1807 10861\n5948 8351\n2144 8711\n11442 11446\n2789 2970\n2872 9126\n2823 6272\n2798 4964\n3715 12080\n3593 4016\n3230 7503\n6439 8567\n3282 8224\n3018 3564\n1439 2172\n8113 10670\n8210 11383\n7496 8024\n282 4354\n6201 11221\n2591 5060\n7161 8999\n2864 3219\n7250 8213\n5598 6265\n443 3025\n1425 11421\n4487 11042\n4151 11726\n5952 7363\n1228 9591\n7891 12020\n4714 10328\n11787 12048\n2126 6274\n3444 10862\n2370 6758\n1666 6938\n1899 4071\n6799 11853\n4335 4971\n2056 9884\n3132 10569\n842 12124\n7434 9448\n3849 11405\n4147 4953\n2995 7969\n4898 4942\n3533 6067\n9625 9901\n5699 8186\n2936 11918\n5726 8770\n271 437\n3392 8953\n3387 4037\n3420 11936\n273 8047\n6385 8376\n3366 7342\n419 5932\n2706 6966\n1767 7419\n3852 4558\n2735 11872\n1826 5812\n1257 9691\n11645 11696\n1725 4256\n4821 7754\n5895 8781\n6505 7210\n3080 6642\n6290 10371\n2723 5442\n2073 11683\n1742 11377\n3739 9620\n3312 6184\n4294 8837\n1803 10920\n6227 9235\n9248 10557\n3575 3767\n3999 5176\n6639 11036\n1582 11796\n5876 8674\n669 5968\n5935 10703\n4037 7794\n362 4435\n2552 10540\n2864 11861\n7223 10721\n8297 11890\n2650 3055\n2551 3496\n2180 2382\n636 9833\n174 11311\n6511 11553\n1644 10982\n5444 10682\n7551 9107\n754 1558\n281 922\n2606 3968\n979 2526\n7835 9883\n1287 6068\n10149 11662\n3966 6877\n323 5752\n2027 11252\n32 4244\n8575 11372\n9644 11191\n6378 9440\n462 7429\n78 6758\n3075 9026\n5631 8773\n5546 10030\n5670 5845\n8888 10997\n4466 10702\n109 4812\n2958 4961\n5336 9898\n4416 5005\n9975 11916\n10658 11027\n7938 9707\n2384 6161\n822 11246\n495 5281\n4900 7092\n3354 5441\n7611 11448\n988 11244\n1442 3505\n8516 11256\n3069 4095\n4232 5218\n3329 5333\n1042 5980\n5564 8543\n11786 12104\n928 2987\n1624 6881\n1030 2382\n9515 10969\n5823 12167\n5056 8260\n2802 6633\n7028 8983\n2794 9642\n3201 11119\n1323 5942\n2777 6008\n882 6602\n4545 10264\n3714 9635\n788 5383\n4793 11023\n1294 9132\n2253 7607\n6618 11836\n963 7335\n5223 11242\n2649 4469\n4432 8400\n5826 6019\n6954 7332\n1338 8530\n2389 7238\n1764 6209\n6726 9674\n3744 12192\n1375 6877\n433 5595\n2844 5770\n7488 11962\n3805 7994\n3062 9194\n3227 11970\n1353 7289\n8901 11650\n1097 8517\n884 4924\n286 4310\n7926 12053\n5120 12082\n5449 10346\n503 11780\n1778 11010\n8006 9002\n2617 10543\n4152 9135\n5628 7679\n7368 10273\n1053 2247\n6684 11528\n4013 7985\n4626 11606\n4416 6393\n5528 12030\n48 751\n7715 8517\n8878 10157\n536 12094\n2931 7056\n78 9386\n41 4900\n566 3935\n1244 3823\n5562 10587\n1199 6687\n5149 9274\n6901 9624\n4645 8193\n6388 7931\n3835 7434\n3861 6815\n7669 10352\n3588 9755\n915 1647\n9603 11555\n1179 10004\n810 10641\n9597 10611\n4284 6982\n3294 3696\n8437 9922\n4449 8259\n6071 7610\n2087 5689\n5467 8286\n52 10106\n309 10540\n1402 7520\n579 10386\n1791 3086\n5550 7651\n7189 8234\n3288 11147\n1709 10874\n1101 1685\n22 3166\n3016 5267\n58 8234\n1138 9215\n937 11100\n5256 6846\n1932 4968\n1605 9830\n945 11055\n2918 11400\n7691 10521\n2589 6175\n7980 9184\n9100 11341\n2751 6527\n7208 9648\n2366 6312\n3972 7983\n2541 12168\n284 10316\n3456 6709\n342 10444\n5505 8627\n9079 9274\n7246 11362\n4732 8500\n7727 11705\n6188 7239\n346 12008\n7286 9349\n217 6636\n6232 9051\n3680 3819\n3794 4316\n2891 6123\n5497 9534\n6530 10660\n216 7962\n3850 7839\n8697 8718\n6555 8845\n8076 8322\n4535 8599\n3421 8539\n2915 4582\n6466 9441\n10287 12040\n834 11398\n711 5685\n1691 3418\n4892 6010\n5160 6044\n6306 8262\n9399 10754\n1267 4470\n5353 6073\n2026 9694\n3030 11180\n6842 10446\n3093 8940\n9567 10561\n225 7552\n2935 5878\n574 7001\n5872 6065\n4648 8356\n810 5733\n3203 7187\n3228 12142\n4882 8608\n6302 8650\n8001 11218\n1481 4321\n1089 12105\n8482 11627\n7488 11975\n877 8560\n1588 3896\n4596 8382\n3295 12047\n8391 11386\n3653 11010\n5148 8358\n4594 5604\n3231 10636\n3218 11418\n7934 8122\n2413 5409\n2116 3800\n434 9966\n5339 5654\n5731 10860\n5130 10856\n1151 8247\n1621 4332\n4529 6377\n2024 5451\n1314 4793\n4875 9238\n6155 8571\n4111 10588\n2893 11077\n271 5927\n1044 4716\n3078 6477\n4955 6244\n9917 11481\n3407 8739\n2913 7979\n5427 10356\n6501 10945\n5108 11655\n3329 8275\n697 9952\n188 9454\n361 1170\n2151 4658\n16 1976\n5715 11542\n1120 8608\n699 4914\n11281 11353\n7709 9165\n8858 10366\n3602 4114\n7001 7834\n1108 2659\n10249 11818\n6359 7127\n5191 7390\n7252 11422\n2486 9257\n3112 6828\n2235 7793\n6029 9548\n3178 9119\n2309 8060\n11794 11922\n5355 11397\n789 9262\n1194 8583\n4694 6421\n230 11626\n3016 4669\n1106 11323\n168 3244\n2214 11621\n8947 9957\n1135 2570\n1970 5510\n5930 9743\n3885 8536\n6785 7256\n9987 12072\n5864 10995\n7898 11433\n7786 7925\n864 10383\n3507 9535\n10601 12158\n641 4748\n1886 3441\n3782 8106\n3356 11453\n1841 3780\n4977 10877\n5062 12186\n7004 11521\n7424 10394\n10675 10716\n3506 8607\n7747 8355\n8457 8669\n549 11036\n4408 5834\n8901 11144\n7408 10292\n845 4386\n5218 11175\n6920 8822\n946 6968\n4590 10030\n5643 8236\n9550 11601\n3335 12174\n5344 11598\n1561 7884\n1559 8259\n7000 8593\n10175 10983\n6223 10791\n4541 5268\n2765 6370\n5523 7033\n2209 4762\n7339 11665\n3249 7156\n1834 11647\n3091 8108\n2649 2790\n2913 9590\n607 2099\n10260 11869\n5478 6098\n2024 7440\n2989 11537\n1213 4895\n940 9494\n6702 8294\n3645 3647\n6535 9751\n5301 10602\n460 7762\n738 10862\n2741 7306\n247 7624\n923 5806\n5991 8886\n12 2855\n9172 9355\n1182 8555\n3213 3681\n3146 10697\n3042 5173\n932 7585\n454 8513\n238 9041\n7062 10883\n4193 5377\n3997 5922\n7804 9548\n3277 6707\n903 6851\n3965 11532\n2932 4899\n2395 3410\n260 4495\n694 8381\n8141 10740\n7025 11723\n1583 7330\n170 4254\n1564 9358\n4318 9990\n6155 10270\n8420 9989\n8905 9936\n4555 5698\n6484 10800\n1680 7484\n4541 8469\n637 4801\n1481 9467\n3193 6727\n8138 8648\n7544 8815\n190 5544\n1067 5953\n438 9206\n5909 6800\n4066 9893\n1931 5094\n2500 4387\n4991 12126\n776 1233\n3628 11043\n36 5087\n2756 11213\n4766 11229\n134 2642\n1500 4735\n3056 4264\n3455 10030\n7775 9871\n4627 5274\n3081 11887\n3587 6277\n2232 4290\n147 213\n2641 3095\n3811 9903\n5058 6639\n3248 8103\n2156 11990\n10275 10465\n2599 11039\n3188 8626\n2867 11706\n1222 3983\n569 4365\n6007 9795\n24 8489\n3432 6971\n771 4426\n2669 10680\n118 11947\n4340 10965\n3668 8052\n2104 10241\n3525 4216\n6412 11307\n572 2771\n1730 3027\n9357 10473\n2193 3330\n5769 7548\n1500 7210\n6836 10143\n7279 11122\n5743 7332\n1037 3313\n2652 4009\n230 10521\n964 7758\n631 10456\n3495 8506\n1607 1707\n134 9851\n2257 10572\n9118 12020\n3286 10538\n1248 6487\n1852 3779\n503 1409\n6118 9452\n4569 8131\n952 3458\n178 425\n7843 10444\n4311 11065\n4805 6379\n348 6836\n11203 12093\n7310 11661\n1940 3060\n1187 3198\n520 8664\n9081 11613\n4002 4454\n981 8011\n6384 9762\n8409 10570\n1541 4094\n2522 3100\n4031 11926\n215 4107\n7144 8948\n1270 1886\n7573 10173\n6878 8220\n1766 9832\n6566 10884\n2759 5630\n4125 10516\n154 8066\n2155 3057\n3722 9069\n2264 3615\n5515 7408\n88 3748\n9926 11703\n3759 11163\n4227 11164\n6542 11201\n2298 8832\n10066 10259\n1628 5912\n4883 8278\n8142 9768\n6659 12067\n2139 5180\n3185 4049\n8481 10554\n2294 2304\n6575 6748\n70 8224\n10980 11729\n1522 4589\n4161 7345\n2454 8968\n4979 11721\n4634 8856\n144 3637\n9890 12151\n10318 10485\n8110 8425\n1646 7588\n4024 5415\n3254 8488\n4361 4572\n2563 8404\n5213 12128\n3628 3909\n8187 8402\n814 8676\n408 10794\n435 4447\n6248 11338\n2231 8558\n3551 9403\n5761 8716\n9151 9964\n513 4930\n9175 9601\n10400 11529\n6804 8221\n6851 9978\n1147 3496\n1576 9609\n1774 9232\n7880 11772\n1425 9513\n902 9569\n10455 10591\n4987 5794\n5629 11521\n1166 7489\n4027 8124\n5231 11787\n1369 4266\n8091 11272\n1558 8988\n11582 11903\n8490 11632\n1979 9352\n2468 3003\n4205 10564\n1308 4674\n774 1035\n4135 6115\n5925 9995\n4952 8799\n5615 8581\n1908 7476\n1962 6017\n3200 3801\n421 1015\n730 6028\n1338 2057\n4 5694\n6358 9489\n7921 8373\n3379 4709\n797 1084\n134 3177\n2099 10181\n6743 11665\n8451 8818\n835 2558\n2062 3624\n549 7497\n217 5002\n11435 12060\n1615 6480\n10250 11288\n5869 9167\n3569 6156\n7426 7451\n2733 8615\n1981 7390\n1304 9067\n4218 5516\n496 9770\n378 7754\n3214 9886\n1476 4283\n1048 6901\n4066 11960\n4752 11322\n1582 4738\n491 788\n711 8177\n10311 12040\n3 1728\n5443 11820\n327 12175\n7749 8952\n6794 10679\n1894 9555\n7982 8986\n9036 12136\n6766 7651\n9747 10777\n1135 3979\n6265 8277\n3816 5581\n2613 11776\n2533 11352\n4683 5516\n1310 6405\n9146 9640\n306 4587\n8134 9583\n3618 9656\n2686 8901\n4189 10855\n823 3931\n3144 12024\n9448 12137\n9497 11971\n4100 5667\n5550 7007\n10379 11875\n6747 7329\n32 3381\n1075 6025\n1172 11577\n892 3018\n2841 4961\n970 2798\n1280 7242\n4488 5917\n7508 7921\n3861 9897\n2071 8573\n3371 5015\n5622 8599\n2998 4401\n8561 9077\n9683 11206\n4331 9558\n9741 10867\n3598 11096\n3534 10171\n3343 9800\n2724 9622\n1156 2705\n391 4497\n5358 10913\n2397 10432\n4779 9407\n3999 5672\n4366 11342\n4739 11111\n9253 10457\n3693 9149\n4022 11778\n4843 10486\n7051 11730\n3507 8692\n291 3402\n2720 4827\n2425 5020\n2676 11249\n3543 6399\n2910 10209\n9316 11233\n7333 10806\n5901 10104\n6487 9690\n1299 3369\n2513 6721\n6152 7668\n53 6661\n1165 1573\n6675 8520\n3715 6340\n2997 3678\n1073 5616\n870 5618\n2381 8603\n4673 5898\n483 5189\n9833 9835\n8730 10042\n4745 5810\n4918 11072\n2725 6708\n8563 11702\n4712 6579\n4145 10273\n7178 10351\n6159 8720\n3123 12040\n1697 9298\n9654 11484\n342 12030\n1092 2852\n5330 11574\n1101 4104\n1306 9711\n9788 11632\n4071 8080\n4757 8260\n4908 5909\n5911 6100\n2527 9728\n2864 7600\n2340 9954\n863 6705\n5852 6579\n1034 7273\n691 10483\n3477 9301\n669 2949\n11452 11747\n3682 7634\n3956 8974\n9264 11348\n1946 6096\n3870 10887\n399 5713\n1910 9079\n1586 6669\n59 9189\n6752 8399\n3727 6243\n2668 5136\n9192 10267\n5278 6001\n4228 4776\n3545 7730\n2232 8659\n2972 10780\n10630 11423\n2004 3550\n7077 9571\n1080 5962\n1150 3251\n2891 6664\n4797 6673\n1002 10821\n8644 11373\n6405 10481\n7445 8896\n8284 10318\n2903 10869\n935 5690\n1346 9130\n429 1390\n322 2252\n234 6137\n2486 9204\n4036 5288\n7908 9301\n6584 8943\n8246 9973\n4657 5430\n771 7950\n8100 12075\n3812 5942\n4058 9971\n1546 5600\n4872 11842\n8164 8937\n5207 5899\n6 10964\n3341 5631\n667 7665\n4513 9607\n7044 8076\n2856 11139\n4705 6079\n5879 8984\n819 2881\n5490 11883\n2798 6191\n6648 11296\n3868 6195\n8385 10607\n10514 10915\n662 10174\n2002 5414\n3646 7168\n363 1467\n4766 7040\n2018 8398\n5274 11094\n1295 9741\n2844 10131\n8437 8756\n2347 4267\n6015 8002\n540 5745\n4272 6064\n324 10215\n6090 11871\n1660 6361\n1675 8378\n416 765\n3425 8178\n2878 8893\n11963 12091\n2345 9482\n4447 8066\n7753 11053\n774 11863\n655 9539\n609 2100\n6793 9904\n1286 2032\n4565 5267\n6010 10821\n608 10822\n2252 4856\n25 4523\n2036 9567\n7098 8626\n2240 4047\n4611 9899\n1194 4062\n4433 4613\n9283 11654\n3056 10177\n7777 8780\n2529 7775\n3732 9739\n4563 7199\n3123 6519\n3873 11067\n9161 10230\n5779 10609\n833 4393\n2134 5437\n2387 4458\n6083 12189\n4610 9752\n1513 4429\n5172 7992\n3258 9724\n3726 9415\n2397 8392\n5223 7032\n719 1986\n1096 1944\n7866 8219\n6555 11235\n8652 10748\n265 5023\n6046 10420\n983 9195\n6915 9193\n3363 11012\n735 5148\n9005 11309\n2827 11233\n845 5383\n3491 8709\n5281 8209\n804 11652\n7735 10503\n8775 9151\n1130 9735\n8595 11073\n1524 11913\n5705 6303\n8459 11320\n6140 10615\n960 2123\n96 2909\n6774 7283\n3501 9976\n704 9432\n1820 11992\n8134 9895\n4493 6446\n8889 10069\n8986 10758\n1132 3312\n4728 9379\n6604 6653\n3954 4444\n2826 9635\n9798 11616\n3163 10278\n1331 4070\n1110 5388\n9088 10440\n494 9663\n5212 5736\n849 10999\n3138 5759\n215 2942\n1365 7471\n3353 9000\n6803 7675\n4782 12093\n3116 4215\n1485 1901\n5186 6805\n7149 8118\n2579 4506\n2459 12029\n11311 11724\n2183 5672\n666 9940\n8921 11324\n4621 7357\n4036 7254\n1421 3921\n4572 5856\n416 5506\n91 9727\n462 12051\n2604 9832\n5667 9768\n2346 7203\n286 10353\n6977 10133\n7553 8147\n2038 4282\n4013 9359\n8931 10692\n4366 11729\n317 9821\n9293 10601\n839 6201\n2362 6245\n7295 9250\n3452 8884\n3021 5103\n9836 12102\n1923 11151\n274 4126\n299 3384\n4706 6424\n2584 10009\n5838 10157\n1717 10012\n7364 10317\n781 7206\n5877 6289\n4840 5320\n3545 11626\n5745 5905\n1906 9070\n6907 8587\n353 10730\n6740 12157\n1737 10045\n111 2070\n7301 11091\n4320 5318\n1407 1815\n1074 11555\n1612 9592\n4860 9434\n5407 9357\n5335 7951\n5554 11180\n6462 9540\n3381 6809\n1349 2213\n7251 9768\n1169 8718\n225 1562\n93 7848\n3351 7469\n7464 8747\n3378 8781\n5403 12026\n5208 5725\n1487 12158\n5747 9791\n1154 6026\n2016 9078\n1018 5053\n126 7626\n825 11466\n6195 12164\n2055 10751\n8785 11386\n8786 9830\n7470 9014\n5254 8544\n3624 5462\n5238 6859\n6894 10108\n1551 12061\n1098 2859\n8440 9851\n5521 10577\n3841 6145\n3344 9645\n2607 10373\n9668 11869\n279 4777\n1646 9890\n7881 8011\n3097 10824\n6633 9892\n1537 11445\n3565 6580\n6196 6901\n4431 7711\n88 2807\n2551 10138\n1144 11741\n817 10892\n9939 11433\n2347 9606\n2037 5586\n4936 9398\n1 156\n1570 6883\n10448 11143\n4398 9772\n3369 9930\n164 5321\n437 5116\n8972 9324\n7004 7503\n1010 7106\n4974 9734\n7340 7923\n73 6545\n436 10374\n3735 7367\n3642 8759\n8681 11933\n890 8928\n1968 4086\n203 4461\n1060 1792\n1950 6810\n7078 9686\n2543 5398\n4312 11626\n5469 7351\n5717 7799\n1710 11169\n1220 7495\n1566 10318\n6007 6681\n1798 4150\n4092 6589\n7996 9361\n6223 10417\n2700 7540\n2444 3175\n1630 8832\n4820 7370\n5484 5813\n5846 7807\n705 4489\n4430 11043\n3669 10402\n1167 4874\n1618 5834\n5027 5289\n595 1529\n200 524\n910 11393\n1149 6313\n172 5383\n5726 7198\n1302 4762\n3621 5239\n8422 10169\n6514 7922\n5128 11584\n3368 5453\n765 2206\n2657 6090\n5035 11845\n321 5379\n3296 9635\n10517 11183\n229 6052\n7789 11702\n6253 7572\n5749 8231\n9005 10457\n610 9886\n7767 8115\n137 2433\n7611 9814\n289 2660\n10490 10599\n1671 4471\n4499 7890\n3588 6770\n2970 7275\n669 5778\n8531 9375\n4676 7660\n4341 10549\n4335 10400\n1382 8195\n8553 9102\n10122 10744\n5043 7721\n1837 3668\n6434 7208\n5828 10145\n3022 7570\n546 12096\n567 11096\n3384 11500\n2958 4081\n5932 10764\n3007 5528\n4431 6397\n5053 10125\n3293 3994\n5283 8060\n6256 6758\n2741 5772\n5423 11283\n608 1839\n2115 10872\n6429 8058\n6868 7788\n8497 10102\n9171 9711\n5803 10501\n9343 9731\n3336 6056\n2706 5161\n188 8468\n2726 5924\n3660 7091\n2177 6707\n6201 9342\n4091 9193\n6532 10740\n7717 10694\n8744 10503\n613 2728\n4476 9244\n91 4679\n3901 6343\n3962 11380\n1411 4886\n1514 4629\n7367 8308\n3254 12111\n4317 9345\n3141 4432\n778 9746\n2999 3089\n10163 10980\n7276 9535\n517 12067\n4885 11190\n1323 6453\n7174 9803\n5926 8521\n1904 6869\n10242 11982\n6122 6741\n7479 7482\n7458 10536\n4293 9608\n1250 6303\n5342 9747\n8191 10607\n4150 11286\n3322 7714\n3833 9690\n2908 3775\n5529 6194\n4066 8795\n8192 8726\n3011 6664\n866 6165\n8111 11140\n155 7172\n4464 6953\n2472 10423\n5275 6874\n5867 8444\n6199 11856\n1483 7398\n73 10313\n4622 8770\n8021 8514\n8926 8965\n7773 10277\n1060 4520\n7439 11548\n312 7343\n6830 9715\n430 4643\n2855 3942\n344 5267\n3487 8744\n3093 9819\n9344 11134\n9486 9952\n1824 6060\n4267 9149\n1868 3636\n8299 11370\n6997 11981\n4304 7570\n2720 6405\n3044 6165\n2393 6773\n3790 8137\n9250 10350\n8654 9144\n2422 9866\n443 6647\n332 4247\n2371 7470\n2812 10358\n622 8675\n7585 10394\n990 10453\n7449 10619\n11 8403\n1476 8338\n7503 9541\n7246 12020\n1302 2921\n4246 4530\n8194 9835\n4175 7578\n1042 10212\n3733 8217\n3944 11001\n2263 2763\n9221 11099\n4325 11367\n1921 1998\n4248 9755\n7321 9567\n550 11609\n996 5140\n4194 7078\n10 9027\n9293 9591\n3571 4660\n1639 7880\n6246 11117\n1006 10855\n7202 11553\n756 6490\n4871 10786\n6083 9214\n597 9594\n2589 9909\n10311 12092\n4965 9805\n4992 7131\n939 9105\n1249 10831\n5108 10313\n1650 7677\n3570 11145\n6811 7021\n8600 12175\n4493 6016\n1566 4350\n6444 10525\n8114 9853\n4804 11817\n1268 3960\n3572 4430\n1638 5285\n7446 11402\n6677 7945\n5810 5839\n5303 5714\n972 4381\n3179 5931\n4376 4498\n1346 1498\n4567 9286\n5282 6540\n2851 6331\n6186 8118\n1851 7565\n717 7940\n1311 2289\n100 2369\n2622 9117\n2092 8910\n11357 11710\n900 9723\n7731 11605\n502 6788\n6163 6485\n2177 3339\n2818 5208\n1051 6733\n375 417\n2647 5827\n2980 9748\n281 907\n433 5011\n7095 11599\n5402 9139\n4898 9285\n1785 8569\n8759 9813\n4012 4913\n3694 4990\n6553 8549\n8256 8582\n5729 8931\n4348 8073\n3355 8920\n285 8892\n3078 7027\n1667 2653\n1836 10720\n8839 11809\n9067 10979\n555 3064\n7720 10553\n49 1974\n2330 5925\n2957 3205\n4486 11938\n7552 11752\n5009 11062\n2747 6486\n3666 9037\n3608 6472\n1129 11407\n1424 4579\n793 7759\n1331 8874\n2834 4022\n4398 5942\n1978 6326\n4776 7285\n8768 9643\n7587 10748\n4261 6258\n10608 10792\n4873 9788\n1027 11282\n1795 4182\n5166 10263\n1346 9415\n347 10883\n7916 9640\n6569 11116\n3445 11709\n5892 9297\n650 4634\n2172 4601\n1080 9281\n2901 6779\n558 3816\n3418 6740\n6098 11762\n286 10834\n4421 9817\n10802 10967\n2742 6322\n4472 10763\n6664 12027\n1766 10515\n3761 11442\n2958 5851\n5313 10171\n482 2554\n7031 8116\n5049 8235\n1147 7876\n3590 8653\n4341 6674\n1529 7666\n6702 9350\n3592 10402\n5087 9058\n3200 11353\n4488 7093\n9887 11802\n2755 8127\n6162 9551\n9645 10214\n644 2614\n1171 8817\n1125 7603\n3322 5489\n3495 4709\n7929 9242\n4407 9642\n4828 6101\n1263 7690\n3910 7983\n6301 6639\n335 7691\n6937 8389\n6100 10997\n440 12078\n7225 8744\n10055 11384\n3990 10349\n540 2685\n456 8711\n3540 5266\n3219 6111\n10460 11813\n2030 8606\n1440 7224\n141 9271\n9353 10145\n2852 6055\n283 5932\n4769 7548\n2749 5750\n1531 5281\n3627 6702\n2824 3566\n8597 11893\n507 11436\n894 1268\n2270 7144\n6149 9566\n4633 8173\n4797 11359\n2579 6005\n383 844\n1023 12164\n221 4380\n837 1857\n7041 7394\n5135 11495\n2774 10632\n1495 6403\n7973 10212\n4623 6638\n10928 12127\n10175 10873\n8254 8511\n7978 8781\n1857 3654\n1856 5577\n2709 5371\n5921 11156\n829 1187\n2639 9906\n926 11741\n1620 10937\n1505 10683\n9142 11864\n3885 3943\n1386 7942\n6866 10587\n1704 11342\n3432 7829\n1445 11667\n6906 8055\n2391 9676\n6226 9837\n6319 8365\n2950 10717\n5964 11223\n725 10399\n2525 2764\n9810 10824\n7841 11479\n8481 10043\n92 2749\n5870 9166\n10548 11349\n6894 12016\n2394 6715\n1412 9238\n4945 9477\n4084 5373\n5154 11796\n1325 3390\n8198 10153\n3171 7802\n6343 7801\n2988 6956\n3987 9456\n3287 10799\n2491 9183\n1928 6218\n559 682\n1192 2157\n6569 8664\n4604 6104\n3127 9612\n5416 9206\n4998 10999\n4043 9589\n5978 7732\n7779 8957\n3460 6532\n2456 11633\n76 9183\n3477 11995\n4699 8068\n3266 11065\n2294 3930\n2879 5844\n1749 3282\n1393 3863\n2032 11526\n1844 8813\n915 2028\n8399 10699\n379 1921\n1282 2449\n5043 9228\n2301 11224\n790 6266\n3021 8098\n9323 11723\n931 7955\n5564 5893\n4789 8280\n5063 11257\n8320 10928\n8662 10028\n5325 7135\n6152 7251\n1557 4505\n7332 10645\n8437 10987\n8055 9726\n5090 9539\n2144 2743\n8211 11659\n3854 10884\n11664 11974\n3528 5013\n6537 9567\n6259 8282\n5804 12128\n3313 10556\n1724 9865\n4703 10216\n3689 11987\n8194 11879\n3934 10196\n351 2492\n361 4290\n429 4272\n2774 6135\n3510 6546\n6823 7896\n1934 9304\n2712 5470\n7511 8795\n4111 12146\n4019 10194\n4823 7716\n1308 3172\n6376 11071\n1969 11759\n2249 7043\n1630 7333\n3614 4369\n6387 10707\n3827 11139\n1117 7999\n4058 8176\n1687 10646\n6243 8837\n8021 9871\n8245 8749\n3690 3851\n790 2901\n4504 7409\n1249 4346\n1714 8014\n5396 10496\n2271 6761\n8315 11751\n2484 6290\n8147 10724\n902 8194\n8143 9287\n606 1725\n8057 10429\n3849 3870\n4385 6860\n8176 10232\n6948 9425\n9532 10222\n6029 11461\n1224 7999\n3271 11630\n1904 4097\n5747 6856\n7912 8244\n413 2145\n7537 10886\n2746 11456\n1574 4226\n1300 7189\n3506 6009\n3044 4140\n1154 12045\n3349 10093\n3667 6722\n695 6237\n3274 7249\n3537 9011\n2561 11983\n2697 9958\n909 7155\n2371 12006\n6183 11474\n788 7644\n2804 8892\n1965 6824\n1528 11813\n5445 12016\n474 9476\n3073 3889\n2156 7148\n5656 10426\n2455 7231\n1170 9229\n9 8706\n3055 7676\n8497 11276\n1923 11799\n2602 9557\n3160 6974\n265 5633\n90 1911\n242 7194\n6299 6385\n1602 2439\n292 3882\n4825 11978\n1915 2173\n128 11802\n4859 9821\n4380 6655\n9102 10396\n1032 2065\n5583 9711\n1837 3186\n8569 10189\n4303 10754\n923 5473\n735 7356\n614 12076\n6727 9490\n3966 11386\n6651 10991\n4608 7457\n2314 12042\n4723 6956\n3157 9499\n1294 8308\n2165 2250\n5508 9957\n276 5993\n7848 8355\n5669 6914\n3697 3981\n6175 8601\n7911 8784\n8262 8812\n3392 4007\n6015 11811\n1819 8777\n3800 3853\n4869 7913\n839 4799\n411 8109\n2865 11980\n1933 3824\n3393 8356\n666 7455\n6346 8124\n7999 8273\n3678 11983\n7184 10364\n290 11034\n2089 7425\n5152 9823\n1870 5020\n6607 12037\n5450 9754\n3367 5846\n9299 11296\n3141 9123\n8413 10936\n1322 7654\n691 4094\n1100 2685\n2416 10838\n2137 11684\n2370 7223\n1429 8082\n3867 4618\n690 4037\n7594 9280\n6142 11599\n3528 10068\n2875 3050\n7502 9137\n2496 8013\n8818 10644\n2648 3679\n1425 6696\n452 2883\n7542 11702\n697 7536\n7016 9301\n4766 8151\n11678 11917\n5127 9595\n595 703\n9027 11334\n260 439\n6324 6403\n237 782\n103 9912\n702 1879\n6669 7012\n8443 10147\n8664 10244\n5343 7657\n4939 5794\n1069 2936\n575 7733\n7418 9598\n527 4138\n3731 10086\n8972 10470\n4673 5678\n708 3600\n3189 4373\n5867 6118\n6843 7337\n8781 10661\n815 2317\n3496 9213\n6268 7081\n3147 11566\n6 7779\n7350 9444\n7444 8943\n422 6815\n3841 5069\n8008 10318\n1080 10444\n4231 9430\n4087 10168\n2110 10037\n1568 8684\n4758 8027\n5830 9312\n194 7764\n1466 11874\n2295 2764\n3398 3780\n11469 12091\n100 4616\n10528 10926\n2204 2225\n3665 8730\n7042 7269\n5929 6630\n2019 11697\n1647 10831\n2173 2863\n5658 8421\n7364 11106\n3150 7048\n4048 9064\n4732 9931\n7898 10286\n8468 11972\n210 4452\n7364 8431\n270 9929\n6452 7262\n1560 7890\n1440 7278\n9450 11956\n2781 3842\n5052 8526\n2859 6344\n701 4672\n403 11549\n4 3851\n2598 4484\n737 3946\n6910 10177\n4544 7478\n1560 3879\n3205 9116\n7309 8451\n1445 2659\n1610 6045\n2869 9252\n3350 8647\n787 4074\n1063 10243\n1713 2787\n8653 9100\n1375 10678\n7502 8000\n51 5121\n5311 6734\n771 3851\n5160 10524\n3266 4107\n4871 11343\n3174 6294\n2360 12006\n2510 6644\n5754 5855\n7487 10864\n6657 8826\n6440 8962\n3492 7656\n6213 7917\n9236 11946\n10113 11639\n7896 9938\n3976 5169\n98 3793\n5467 10410\n1048 11903\n4265 8519\n5227 7192\n1363 11265\n6534 11838\n2194 10380\n5486 11619\n8499 11979\n3111 5795\n6850 11347\n2429 7195\n2171 8090\n10638 11866\n270 9735\n1203 9757\n5296 9303\n3518 5737\n9055 9853\n9323 10298\n7021 11369\n4060 4572\n1766 10003\n2755 3867\n4113 10477\n3775 4399\n3453 8145\n576 5739\n1949 7420\n2327 5155\n5618 8259\n6579 11729\n7773 10987\n1927 10163\n7984 10368\n2437 4403\n8585 10876\n9715 11496\n4966 9408\n6222 11528\n9119 9438\n3262 11253\n4721 10475\n10323 12092\n2327 6800\n6850 11929\n361 6172\n8602 8797\n2418 12158\n2532 3525\n1554 10979\n2175 11545\n3163 5105\n4093 10034\n505 651\n8546 10133\n6394 11954\n1108 7401\n5050 9853\n5352 6881\n4071 12053\n6928 10190\n142 3820\n8226 11453\n4581 12075\n3610 8883\n5444 5797\n8937 11170\n8971 10037\n4978 10797\n39 5335\n4968 9369\n312 4267\n4222 9048\n6998 12034\n3368 10027\n8844 9111\n562 9849\n10291 11527\n3864 11350\n6853 7955\n2808 5849\n9897 10585\n598 10489\n994 6576\n2230 5349\n4542 9194\n3647 4231\n3200 11630\n1222 5937\n6622 6900\n1536 8486\n3209 11346\n5094 5208\n5266 5989\n11220 12042\n5599 11167\n4070 12087\n843 3900\n8376 10069\n1807 11372\n129 10242\n4506 12081\n3812 9063\n869 4468\n299 5363\n631 11978\n785 3014\n7438 11115\n772 9075\n654 2757\n1416 4198\n1386 3245\n2671 8750\n2781 6118\n7971 9849\n5533 6864\n5658 10829\n7385 10958\n856 8015\n644 4504\n4128 9276\n4071 7434\n1317 12046\n5744 8890\n92 3495\n422 4183\n5087 8847\n4649 10043\n2184 8390\n9289 9539\n6298 8434\n2909 4768\n5835 7411\n4296 5638\n1818 8014\n1329 6668\n825 6417\n8036 8630\n953 6205\n8127 11118\n777 10480\n1819 6973\n1609 7180\n3590 9631\n6812 10342\n2258 2820\n6386 9215\n7759 11391\n2824 7896\n4605 4659\n1991 2924\n4006 8267\n1591 7610\n2509 3949\n2654 10797\n9124 11672\n4806 11307\n4076 8584\n2575 4519\n2777 11713\n2064 9461\n4021 4436\n501 7832\n1430 8739\n9187 10300\n11188 11582\n2566 2762\n1300 10694\n5420 6330\n3753 10036\n8554 9183\n10687 11772\n6056 11286\n2026 5968\n4794 5946\n482 11237\n5070 11137\n788 8076\n6326 12069\n10371 11220\n3607 11156\n1638 8085\n3198 8596\n176 2493\n9133 10652\n4537 9310\n4406 6633\n9269 12173\n7827 11773\n510 4435\n8959 12039\n118 4162\n1810 11066\n2578 6063\n6323 8230\n251 651\n883 4953\n913 2842\n9425 12014\n1463 6450\n1929 7867\n3059 6655\n5376 6271\n2619 7261\n463 10034\n780 5908\n11163 12044\n1100 8186\n1500 8919\n10891 12158\n755 8358\n6204 10629\n9012 11698\n4711 9366\n1291 2500\n1915 3929\n1076 10285\n5236 5431\n4156 8648\n4347 11631\n1764 7571\n535 1886\n4999 9671\n3295 3527\n5274 10591\n7630 11843\n2342 11028\n2820 4937\n6881 7239\n4038 11406\n9693 10560\n8841 10071\n2949 10674\n6707 10924\n5256 6158\n6801 9120\n1815 11190\n3275 6958\n960 8433\n1815 9382\n2669 4264\n1482 12175\n748 10573\n4462 11742\n4900 9211\n526 3840\n7333 9475\n3358 10380\n369 4387\n2216 3079\n733 10910\n4628 10532\n1443 5389\n2505 10860\n1600 3077\n760 1604\n8375 12094\n2544 9609\n8575 10180\n5446 10917\n9109 11774\n5671 9893\n7163 7331\n8565 11448\n8599 10505\n11113 12065\n5237 8006\n1820 2169\n7720 9819\n5316 8250\n1628 11222\n7180 8409\n7596 9903\n6192 6724\n3648 6078\n3461 11648\n1594 2692\n591 717\n5821 9157\n5273 5967\n3385 12063\n699 11578\n2507 9286\n1611 10951\n404 7233\n6274 6508\n3321 9750\n3532 5002\n414 3388\n1915 10834\n3470 6929\n7910 8769\n6203 7263\n1760 6997\n5873 12050\n2821 8833\n507 9394\n5694 10429\n4146 5023\n4538 5268\n2614 8713\n10570 11506\n6210 10557\n6878 10376\n8050 9779\n2275 9964\n3666 4783\n525 11483\n5657 11408\n9622 10203\n2262 6082\n927 7480\n4910 11340\n1892 2221\n104 3465\n7312 11964\n2009 2050\n5184 9164\n1383 9349\n2747 10229\n2921 2999\n1418 10238\n2845 3565\n3555 7178\n757 6244\n2723 5761\n587 5510\n5949 11575\n3124 3677\n63 7047\n4039 5346\n2764 5420\n1929 8139\n2517 9721\n5532 11661\n8119 10238\n5986 8647\n3549 8393\n4565 8906\n8756 9412\n2458 7301\n3408 4614\n3887 11165\n3623 8940\n1300 8137\n3151 6496\n7773 10298\n3980 8358\n2954 3616\n1669 8473\n4616 9345\n2924 10109\n3727 11653\n726 2632\n7007 8453\n3329 4123\n5539 11216\n5020 8798\n1596 6230\n2118 4588\n1534 9936\n150 3219\n4218 9905\n3656 4924\n2574 11755\n9260 10261\n4623 11752\n4202 6840\n4688 9536\n5636 8543\n3409 4976\n3597 4595\n3034 7480\n6492 9191\n3145 4849\n3820 7701\n333 2859\n3232 6869\n280 6771\n6835 9205\n3980 10881\n1092 1409\n4111 9565\n6920 7493\n7534 10804\n1251 11433\n1619 12191\n4830 8010\n4186 9534\n10059 11799\n2703 4074\n2540 4415\n4623 6777\n1079 4128\n3239 5442\n3691 5686\n3518 10928\n6626 6645\n786 4827\n7382 10703\n1129 7969\n3584 10762\n5493 8823\n788 3307\n48 11308\n3911 10334\n3097 11280\n452 10193\n6366 6536\n2217 11809\n3307 7869\n6190 11923\n10292 11613\n1147 9795\n4493 10304\n7494 11727\n529 2977\n6657 11342\n2484 10639\n34 5100\n10173 11897\n4551 6314\n8720 10357\n3441 9901\n2175 6514\n4958 8070\n3382 3472\n1836 4989\n9567 10128\n1235 2952\n40 11810\n6467 7217\n3048 5563\n208 7940\n3819 10452\n5286 8874\n326 5365\n4416 10946\n5017 12034\n1197 8241\n852 1000\n2911 6143\n2600 11925\n6973 11536\n5286 7116\n4504 10424\n2423 4217\n3418 10394\n9347 11611\n6897 7309\n4085 4382\n2516 11085\n92 8448\n6714 10544\n2946 5916\n9228 11809\n4167 9637\n1846 7901\n5589 6969\n6686 8093\n3148 11163\n2335 11911\n4734 8271\n795 3047\n4875 8249\n726 762\n701 8331\n2766 11709\n3684 5850\n2593 7842\n4289 7637\n134 8146\n10232 10948\n8088 10105\n3053 10635\n2964 10313\n711 10259\n146 3100\n4748 5581\n7426 8883\n6214 11736\n554 10979\n951 12166\n1265 7251\n586 7567\n2113 9178\n2620 8729\n3492 5841\n6658 7109\n5802 11807\n3953 10588\n7969 11202\n3616 4781\n7016 10340\n4938 5308\n78 1628\n1783 8669\n1200 2780\n7682 11960\n4831 11788\n4064 7368\n9316 10889\n2508 4190\n10110 10586\n963 5944\n4952 6746\n1677 3559\n837 2345\n482 6101\n2488 11362\n3343 4339\n2251 3449\n9965 10317\n5176 8620\n1330 1800\n647 8653\n2730 2968\n4228 7981\n6130 9211\n622 1636\n3371 7786\n7513 10822\n492 9898\n3210 5953\n2627 6352\n7657 11239\n2992 7828\n2064 6226\n7413 12093\n3483 6150\n1816 9194\n5000 10084\n10112 10120\n9863 10742\n1769 6645\n3605 4905\n6275 8034\n7250 10289\n360 3093\n3092 9331\n3056 9860\n1970 5239\n1958 3232\n7844 9263\n1101 5344\n892 1774\n5305 9801\n1041 8041\n2694 5468\n3440 8352\n772 9887\n2774 3797\n1512 4040\n5236 7918\n8436 10673\n4568 11885\n2778 8064\n2405 6976\n22 7581\n4321 11249\n9541 11346\n4550 5264\n8042 11385\n3455 4141\n1977 4247\n5368 11941\n5148 8222\n1206 6287\n2307 8424\n318 11047\n6556 8535\n1367 2739\n5176 7735\n4436 10886\n5473 7834\n3000 11799\n6604 11266\n6974 7213\n7413 8127\n2298 11182\n2121 2362\n820 9301\n2658 7537\n7150 10405\n2244 11552\n3051 6074\n4171 11832\n3010 10328\n5351 11450\n1897 5971\n2960 6220\n11143 11492\n2619 6504\n4870 6093\n4459 10181\n11028 12145\n587 9124\n5249 10578\n5436 5890\n7008 8480\n2431 8184\n2764 4560\n5226 11253\n6925 10206\n2469 10470\n3369 9673\n6463 10212\n1564 6953\n2111 11591\n5037 9066\n2808 7545\n7953 11803\n2089 9566\n221 8410\n1049 4619\n2593 3146\n3274 4501\n1872 10667\n3118 10733\n6715 8611\n3783 8531\n4792 10369\n610 9681\n2702 8485\n3019 7481\n2456 9060\n6143 9733\n7557 8438\n169 1339\n1830 11866\n10116 11695\n6874 7890\n688 3803\n4582 8767\n309 324\n6324 11743\n5389 9597\n3048 11866\n2328 2472\n14 7520\n8793 10368\n4937 12176\n1041 6061\n189 6753\n920 11630\n4539 5685\n10491 11544\n4044 10122\n2669 11690\n912 2594\n4789 6961\n3531 8380\n5461 11326\n6358 11511\n1908 4053\n683 6688\n7152 9183\n3308 8058\n3341 4088\n4344 6787\n3095 6177\n1173 1443\n10223 10666\n494 9180\n1538 2980\n10568 11186\n6045 11343\n6682 8336\n3661 6867\n1497 5401\n1424 9405\n5823 10558\n5173 10622\n1693 11239\n2017 5280\n7220 9640\n5810 6818\n9547 10435\n6455 7829\n1846 7929\n2779 11309\n5250 10107\n168 8850\n5319 5818\n11329 11935\n6480 11405\n4602 12054\n363 9825\n663 8770\n3232 6353\n1693 8000\n4672 5146\n6762 7377\n11588 11929\n319 393\n8763 9434\n3729 7272\n6205 10568\n2401 3226\n9032 10541\n5557 8991\n292 6047\n3171 7638\n595 7525\n4623 9716\n10458 11827\n7814 9081\n2447 2601\n6391 9853\n4752 10803\n1197 12047\n4450 11739\n4843 12119\n4392 6426\n6833 11183\n4235 9532\n4651 6426\n9574 10716\n7114 11931\n4777 8053\n3383 4600\n2531 4559\n1048 4161\n1032 5245\n808 10145\n2602 9787\n5051 5768\n4496 6247\n249 5411\n5474 11302\n5382 6305\n747 1953\n196 10287\n5093 9415\n2224 5290\n1195 10636\n10249 10905\n1654 7295\n1677 4912\n3312 4631\n72 6686\n3789 10798\n3158 6150\n6790 8845\n9547 11098\n10652 10991\n205 11381\n5240 8630\n3730 9773\n2657 8803\n2970 4366\n413 9356\n3611 11391\n157 4326\n2931 5275\n4424 11941\n3735 10411\n6327 10404\n636 6543\n3687 5770\n2636 3911\n5762 11439\n7538 10627\n4696 8437\n10293 10705\n191 5496\n1561 10022\n6997 7952\n3642 4896\n2264 9218\n7382 11617\n3793 4389\n409 4927\n5295 12128\n8362 11835\n9843 12089\n2663 4562\n7384 9503\n3312 4216\n6905 6907\n2566 7577\n2117 9739\n4909 7459\n2693 7321\n1786 2827\n1055 6040\n1524 6115\n2740 10286\n917 1572\n1181 9732\n4363 9882\n1214 9365\n6238 10877\n10118 10516\n8449 9873\n3303 11161\n9758 10764\n5990 10198\n2535 9236\n6812 7386\n3834 8980\n1989 4090\n1546 10117\n723 843\n4529 12182\n1916 6177\n3830 9801\n6319 8683\n6824 11303\n1439 4627\n9263 9299\n3907 10575\n4564 4926\n12022 12139\n3969 4505\n9398 11125\n1781 3797\n2992 10427\n26 9037\n7355 10615\n2016 9341\n6527 10270\n3535 4595\n5359 10388\n1429 11461\n2986 6749\n88 4595\n6210 12062\n4017 12039\n5831 7521\n7761 11250\n574 3177\n5503 8262\n478 602\n7580 12129\n9991 11381\n8170 10713\n3904 7403\n3028 3842\n9607 10581\n5759 11285\n1065 6659\n7619 8701\n1186 11875\n1455 12166\n6229 10394\n81 7148\n4214 8056\n1648 9586\n616 9920\n2297 5774\n9383 10204\n4550 12160\n5746 6251\n1444 9423\n248 1437\n8286 12004\n4476 11567\n5405 7247\n10426 11683\n6463 11547\n5726 6759\n2886 3929\n481 5322\n4760 10320\n1961 4629\n3939 4588\n11077 12100\n1914 7421\n2969 11462\n280 9276\n3222 9383\n9782 10731\n6273 12162\n7445 8748\n2537 7143\n3479 7768\n7773 9168\n513 4051\n3093 6368\n3771 6959\n2086 6854\n863 6473\n4837 8526\n3462 3902\n3190 6619\n6541 8588\n3353 8958\n321 8967\n801 10599\n3166 5144\n2037 4299\n1198 2623\n110 9288\n5770 8124\n4229 7666\n1677 3118\n642 6046\n9681 9738\n8414 10068\n4667 7721\n5572 7569\n2561 3048\n2635 10819\n6361 11042\n5494 9339\n11599 11915\n1078 2649\n1218 8128\n1239 12004\n4694 9124\n6262 8134\n5412 9323\n1247 6074\n3238 11199\n3937 7538\n4750 10411\n5402 8818\n3840 4684\n1031 4528\n3601 11437\n9031 11865\n7071 7144\n6743 8413\n4651 8042\n3397 4224\n4415 8103\n2641 7162\n5169 10991\n783 5258\n1824 5009\n2871 10729\n108 8657\n1836 7852\n2339 4065\n2712 11621\n3384 7450\n4290 9446\n3843 11377\n4398 9004\n755 7171\n5091 6253\n6459 11342\n3791 8617\n1779 5449\n6439 8520\n94 9115\n91 9935\n3857 8413\n5176 10218\n2696 11716\n248 12128\n8958 10733\n7493 11902\n924 5747\n7024 10874\n3844 4323\n143 3272\n3107 4332\n900 4663\n7748 9323\n5965 11587\n1720 2499\n22 368\n8234 9569\n8988 11101\n1615 8923\n522 10568\n3237 9918\n4662 7407\n6481 11008\n3909 9264\n2788 7222\n1891 3389\n3585 10351\n2545 3440\n1401 9993\n8283 9704\n683 10622\n5485 10899\n3620 10415\n645 10411\n4686 5673\n3194 5045\n2780 4282\n2293 5985\n1058 4942\n3261 5005\n6680 9594\n4416 7181\n9747 10018\n3353 5222\n9381 10447\n2042 2270\n3643 4338\n1451 5522\n7090 12183\n1393 12058\n328 2377\n4150 6119\n4424 11701\n6381 7313\n2161 11459\n241 857\n7052 11335\n4778 4936\n6363 11999\n5992 7381\n9051 12118\n1041 6902\n3780 8925\n834 10233\n6054 11931\n6100 6613\n4136 6863\n6402 9532\n2980 5736\n7637 9975\n5732 9575\n3762 9858\n907 10130\n172 4794\n4574 9785\n7658 9068\n6735 9054\n2217 3150\n4627 5177\n897 10178\n10343 10875\n5456 6728\n2061 3110\n54 5118\n5584 8881\n6434 10459\n4691 5615\n370 6867\n5343 9264\n3263 10466\n476 10161\n4460 8544\n162 2094\n5459 8393\n5299 8576\n482 1856\n1230 3551\n1692 2954\n10268 10283\n9437 12049\n3221 11592\n2260 6799\n1993 7627\n2679 2846\n9796 11767\n7681 9646\n4761 6834\n6923 11007\n301 11805\n3694 6787\n7668 10286\n6004 7980\n250 4968\n1199 8344\n9556 11589\n5975 7828\n7111 11859\n4905 8885\n1725 4423\n2204 4458\n3656 8720\n653 5087\n2349 10255\n305 9352\n2664 9220\n4882 10336\n6734 9425\n3427 4381\n5617 11653\n3391 10717\n289 9458\n9548 11104\n2517 12115\n6670 10118\n5232 7254\n10696 11957\n894 5351\n1532 4035\n4512 7528\n7289 10880\n4740 10418\n2963 10652\n7188 8335\n94 3746\n2848 8700\n6005 7168\n9829 10146\n4263 8046\n4843 7837\n8696 9066\n387 11005\n2732 4348\n720 8264\n8483 11533\n2865 5001\n8020 9844\n4056 11249\n4007 6630\n38 4641\n2661 6159\n493 4051\n1500 4522\n2536 4657\n2646 7713\n3250 7931\n5909 12089\n3945 8519\n4602 9097\n3519 5104\n7356 9070\n9156 9771\n3086 12081\n1275 8150\n71 1556\n3662 5345\n358 7493\n259 4572\n9870 10457\n7504 9319\n10379 10570\n2578 7728\n307 8269\n11358 12191\n3649 10736\n9031 11950\n1289 8085\n6094 8092\n2072 9429\n1424 3033\n5153 8140\n7822 11381\n630 4706\n1290 5420\n669 8795\n6029 11567\n3077 9862\n8174 11108\n3988 11798\n6297 8768\n5682 9974\n3384 9415\n3201 6133\n1055 1489\n1851 4555\n745 2201\n1763 5983\n6123 7316\n1874 8368\n5919 7381\n2725 10637\n5901 8757\n1635 10432\n237 5817\n1500 4254\n6047 10901\n2172 5397\n1521 3195\n8958 11731\n999 11524\n4534 4614\n5626 11090\n6195 7018\n7424 9657\n3289 11705\n3916 7755\n8810 10946\n6231 9610\n9734 11732\n2608 4671\n2229 3524\n553 3317\n1708 9078\n2861 10261\n6386 9104\n2073 9008\n5085 10363\n7050 9556\n1894 2504\n9559 9828\n3230 11233\n3941 11881\n4533 7005\n5699 7110\n5526 9775\n3188 11118\n2540 5417\n5012 7856\n5928 6176\n7867 10159\n443 6751\n2081 5997\n1467 5328\n2626 3265\n6463 6747\n1698 3314\n6277 7369\n1310 10733\n10713 11970\n4510 6508\n7188 9022\n5531 11444\n5284 6909\n1842 10044\n4808 6743\n2537 10868\n8580 9147\n6856 8136\n2282 4242\n5052 10815\n4128 5662\n9200 10558\n3671 4047\n220 8901\n1984 2270\n8934 10731\n6675 8497\n2970 3485\n3001 8601\n7939 9370\n1909 7884\n2018 3651\n3590 5189\n6420 9650\n3925 7956\n5082 6207\n3781 8904\n3461 11908\n2813 5702\n532 2884\n10506 11991\n4452 5580\n714 1694\n5398 9257\n2404 4628\n2955 5248\n1096 3813\n9706 10232\n450 9989\n3817 4243\n4225 6599\n4725 8383\n3736 6340\n2862 10824\n1758 10771\n2529 7294\n1683 9163\n8448 11393\n91 11035\n3585 6349\n2379 11766\n7756 11682\n10685 12035\n1560 2280\n50 9464\n1895 6321\n2631 10828\n8304 11958\n4786 10646\n5289 9822\n2426 5820\n1694 6523\n1162 2132\n8076 9023\n1079 6546\n8631 10028\n1615 10239\n2735 2777\n2614 7696\n2176 6005\n8581 11147\n6531 9294\n6116 10942\n4834 6480\n2402 11568\n8358 10679\n2397 5569\n1610 9956\n8329 10413\n7199 9902\n3243 9918\n5460 6554\n2659 8947\n27 5019\n6075 10096\n3950 10572\n3877 8637\n1757 4007\n2631 10057\n7977 8070\n3482 6747\n6601 10581\n848 4921\n698 6148\n429 2471\n4983 10018\n2683 2978\n8413 9617\n4336 8718\n1165 12098\n1375 1638\n6870 11672\n778 4323\n6956 8047\n2465 12031\n3890 8136\n242 11856\n3499 4003\n8888 8928\n2380 9349\n10206 11034\n1883 11619\n2675 7975\n1073 7984\n6880 6887\n5992 9765\n4300 8408\n2902 10996\n9260 11641\n346 4961\n4289 8451\n1869 3472\n1218 6269\n4419 5412\n3110 10171\n4779 7514\n1037 5224\n5475 10939\n7435 8470\n5026 9032\n1149 8386\n8440 11416\n3167 4437\n1756 6605\n6639 8528\n1703 10793\n4927 10769\n159 3884\n1241 10113\n4083 9808\n2801 7711\n1667 11286\n7230 7467\n1352 2069\n110 11160\n2610 6605\n7832 10905\n1301 1650\n2719 9462\n1933 3794\n2734 6166\n620 2688\n7444 8655\n3580 11215\n1089 2093\n71 7432\n4737 10203\n5129 9259\n4309 10201\n6242 8453\n6040 6072\n1795 9391\n2134 11934\n3421 5853\n702 4999\n5097 11204\n4650 5889\n329 9393\n1478 4419\n4845 11687\n7185 8063\n9227 10116\n5240 8680\n5850 10131\n1912 8051\n729 6569\n266 11362\n1889 11376\n3500 3760\n280 2335\n7073 9604\n2639 11285\n3653 8859\n8270 11083\n9495 11834\n3947 9183\n3217 4600\n1622 7554\n2677 10082\n5758 11697\n1397 6701\n5245 10757\n5407 8806\n10759 11016\n3383 6201\n370 3656\n1774 6867\n843 2172\n2692 5559\n2807 9813\n1554 5550\n1531 11625\n1109 1170\n829 3241\n2743 7856\n1485 7584\n76 8715\n3735 5366\n8702 9493\n1214 4821\n5150 7230\n2520 10385\n8933 11854\n2336 9547\n3094 8800\n5259 6644\n5362 7134\n9407 10499\n4257 9114\n11057 12150\n2749 5609\n566 11449\n1683 11220\n2198 8803\n2381 6527\n5219 6948\n769 9327\n2362 6449\n1267 10636\n4804 8111\n2638 2681\n7687 8357\n1281 8228\n6369 10627\n8948 10417\n7994 11967\n8191 8954\n2080 8407\n4331 10822\n2354 4694\n513 11113\n7959 9457\n7893 9052\n4945 11085\n3650 8037\n6962 8798\n903 11910\n323 9255\n891 5711\n676 2294\n3067 6381\n2944 11702\n2520 3790\n8253 11667\n1640 7571\n11350 11471\n5235 11210\n3901 4434\n5984 9242\n10173 11787\n3461 8449\n2833 3185\n325 7026\n948 1395\n5778 6198\n81 226\n2185 5398\n7330 8965\n1255 5579\n1493 10172\n9531 9967\n4516 12100\n4969 10149\n337 8918\n3657 8629\n4796 9536\n55 8052\n6754 8626\n10044 10423\n554 3591\n1720 10860\n1485 1672\n7556 8398\n5057 6554\n1418 2766\n372 3618\n3852 9469\n5462 8284\n5052 10047\n3935 10166\n1759 3333\n2415 10049\n4941 10436\n4896 10154\n1564 9932\n6489 8833\n3647 8331\n5343 10478\n549 3974\n1734 12035\n2918 8464\n473 7636\n115 2325\n1006 8819\n1894 5512\n6036 12122\n5297 11778\n5715 9693\n1257 2228\n1469 10720\n1720 7128\n7402 9455\n1933 3560\n7144 7811\n7123 11272\n531 11684\n6105 10712\n7498 8750\n843 8689\n8250 10206\n8764 12040\n98 10061\n1858 8891\n3566 10850\n4698 8547\n11181 11415\n7613 9876\n1167 7014\n2527 3084\n3567 7768\n565 2940\n4233 6341\n368 10748\n5175 11284\n841 9315\n3081 8773\n37 8028\n2025 4909\n9759 9957\n3826 11567\n2315 4001\n1459 11816\n4010 10024\n2347 7625\n5006 5447\n4185 6823\n2763 5769\n6840 12013\n10230 10865\n3088 11120\n6367 10917\n3636 5817\n4660 9511\n1017 8259\n11139 11455\n1708 11455\n10910 11972\n4305 6520\n2476 4547\n1516 7065\n5852 11165\n7707 7724\n7214 8713\n7265 9002\n6972 10321\n7451 10188\n1436 10783\n11027 11597\n2064 5184\n623 7406\n3495 4959\n836 7269\n4503 8409\n950 9818\n7398 10938\n7430 9026\n2734 12022\n2236 7235\n4276 10495\n102 2578\n2989 10791\n1365 2192\n2902 10752\n6344 12105\n10235 11653\n542 5515\n4061 8858\n8548 9443\n4373 8551\n7701 8088\n3098 7761\n180 1825\n2512 2899\n6181 10339\n1347 5686\n1704 9856\n5970 6433\n538 6443\n562 9775\n6554 8191\n1960 11644\n4365 5802\n4714 6271\n3744 7757\n190 7294\n11289 11343\n312 6022\n3244 9084\n6318 11923\n1813 10167\n520 11735\n3386 11122\n4522 10151\n1073 1543\n4648 9975\n1729 10701\n7748 8498\n283 5923\n8931 11287\n9538 10216\n1668 4832\n5261 9102\n5946 6656\n4491 5489\n360 5905\n3055 10952\n3298 4635\n3866 7717\n7763 11086\n9503 11162\n7975 11842\n3032 9919\n5182 9200\n6909 11489\n1130 4789\n6028 11315\n6164 9956\n3523 6996\n7702 10214\n674 9620\n4402 7030\n4220 8503\n1095 8351\n2239 5352\n216 7639\n7573 10609\n3818 11819\n8946 9750\n5068 8996\n866 9932\n7919 11532\n321 356\n3451 7035\n5809 6780\n6454 9471\n650 3016\n5411 6993\n9169 12187\n606 10617\n4444 5576\n3129 12090\n2806 7717\n530 7358\n9045 9775\n2981 3481\n6094 11947\n3312 8404\n103 2043\n9945 10786\n9452 11667\n1143 4615\n10564 11462\n9336 9461\n4754 11924\n5438 10970\n2989 7489\n1048 5448\n1980 3005\n6386 10938\n3820 12060\n2441 12108\n1347 4363\n692 5698\n1036 1040\n883 8307\n3226 10225\n2971 6423\n5546 9558\n4118 5905\n870 7594\n752 10431\n3045 4006\n2082 9392\n7537 7733\n5713 7549\n1325 10147\n4385 10051\n2212 7561\n7531 9963\n821 5453\n5944 11930\n2355 8926\n918 7718\n9188 9851\n4666 5573\n5166 8217\n880 11733\n4746 10985\n604 9270\n3592 9660\n6558 11940\n1027 11326\n1932 3800\n179 6144\n5240 6069\n4441 7289\n4147 7274\n5751 6040\n5619 11382\n4551 7575\n5519 10225\n3780 7635\n2142 2207\n3125 3820\n2120 4196\n6204 6899\n2465 4817\n10960 11116\n3501 11484\n3558 8305\n2115 4226\n5157 7203\n1343 8780\n6652 10171\n3445 5391\n3827 4506\n3879 12095\n1932 5538\n2804 4186\n3694 5684\n7171 8817\n4526 5642\n8545 8870\n11036 11504\n3711 8308\n3231 9667\n4563 11392\n253 4972\n3944 6764\n5843 11542\n6833 11753\n1739 10529\n4600 4842\n1030 8564\n10273 10394\n1410 6465\n3321 7887\n2134 2394\n6465 7911\n2874 9011\n1642 8087\n2511 8032\n6284 10675\n3083 3769\n1040 11420\n1839 10783\n1904 2469\n2386 3385\n2152 2997\n4294 8395\n5405 11236\n4452 7566\n7642 11169\n7926 9135\n2979 6840\n5922 11103\n8502 8544\n3963 5361\n10043 10084\n1882 4756\n2540 7082\n236 8105\n2979 8383\n2611 9073\n6066 9053\n6224 11873\n4592 10936\n5298 9471\n1752 2997\n1518 7208\n4246 6607\n2797 9652\n1464 4455\n3215 9279\n1398 5522\n5737 7375\n7668 8994\n6392 7063\n1534 4513\n10028 11338\n4436 10188\n1262 9431\n2173 5510\n6344 11005\n3220 4320\n7986 10372\n9986 11049\n885 2364\n1311 11894\n407 10770\n9288 11021\n1715 10662\n9264 11080\n8000 8505\n4052 9915\n3943 7616\n1309 5720\n1974 2431\n2216 3814\n2151 6879\n2874 7203\n3449 4683\n4558 11718\n3852 5888\n10203 11353\n7605 10699\n1256 1870\n2375 3472\n393 10737\n2471 5279\n3834 10721\n2212 2879\n7926 7945\n6555 8719\n2557 7456\n3282 9281\n2030 11886\n9649 10300\n9378 10671\n1456 8237\n176 3519\n9644 9814\n6431 11370\n445 5337\n3525 5692\n3594 9121\n2287 2621\n1711 3101\n707 6818\n5977 10437\n3959 8024\n1444 2510\n3177 11720\n3416 11360\n178 7902\n5665 10996\n71 10567\n6970 10964\n565 3296\n2438 2501\n8868 11566\n5939 6598\n2732 11553\n3133 9355\n10148 11806\n2714 5302\n824 11675\n815 8229\n8110 10931\n3621 6723\n3799 9007\n1826 11302\n598 7719\n5319 8930\n3824 5914\n2983 9991\n4344 7839\n8556 11723\n1157 3460\n467 8554\n9472 10416\n8112 10680\n4216 6633\n2535 11110\n513 7830\n8585 10790\n9367 11170\n724 763\n4192 7304\n8120 12048\n5147 10060\n3877 9790\n1604 1770\n3013 4731\n6694 7864\n6189 8098\n5323 11971\n2209 3851\n7758 10371\n3091 4213\n6137 11338\n10774 11963\n6396 6519\n3279 8375\n1522 8370\n3790 4858\n10970 11076\n4611 7554\n130 6034\n3120 10827\n462 5608\n2076 3411\n1459 5690\n905 6416\n10089 10487\n1777 3480\n6988 8943\n3945 10984\n1555 9494\n7235 7842\n2356 8259\n7723 9954\n8920 11273\n511 3950\n735 1901\n3712 7271\n3124 3400\n3517 6455\n1126 8323\n8550 9317\n643 4943\n4300 6160\n7053 10422\n761 11915\n3068 10916\n3487 5132\n1241 5156\n908 7182\n3645 4109\n9956 11803\n4676 9377\n1702 10599\n1255 11087\n4101 4947\n4882 6812\n3720 5737\n7768 10482\n4593 6203\n3220 8002\n1343 3640\n4512 7008\n6622 7079\n1113 1174\n1773 3005\n8619 11519\n7378 10261\n2712 4412\n2107 7863\n513 8497\n1767 3519\n7706 12058\n124 2340\n658 4864\n895 7255\n6418 7411\n4870 5196\n3033 10093\n8178 8900\n9743 10296\n463 4841\n9648 10798\n4555 7645\n526 7726\n326 3802\n5038 7333\n3316 10247\n4998 9982\n10401 11948\n4233 10540\n379 11858\n16 5746\n4393 6972\n3602 9712\n5786 6118\n2222 6724\n1172 5854\n2386 8904\n354 1236\n11640 11821\n10764 12059\n1986 3399\n5917 7375\n5295 6000\n5636 8806\n1808 8524\n354 1154\n4934 9569\n1461 11970\n9805 10517\n4852 10646\n3710 7725\n5067 10497\n3859 7777\n7202 10710\n548 1205\n2825 2879\n5717 10760\n1211 3770\n5672 8931\n6410 6627\n4386 10851\n3102 9373\n809 3639\n6524 11597\n768 10921\n3726 8002\n4644 9260\n951 3210\n912 4745\n10616 10652\n7552 7974\n1098 8838\n7241 8279\n3284 9362\n3230 5736\n7810 9338\n9030 10310\n252 623\n6990 11679\n5865 8015\n2338 6262\n6643 11248\n8614 10406\n3956 7738\n6636 9162\n8526 9616\n3549 4541\n5454 11244\n4993 11764\n3662 9329\n4768 12153\n930 3364\n5856 11511\n4081 11189\n1421 6831\n309 9770\n2822 10111\n4685 9822\n4712 8216\n1180 6506\n1044 3762\n1150 4892\n1450 4881\n5132 6689\n5427 8320\n2150 8401\n730 2505\n6279 10129\n8079 9951\n7054 10443\n64 6087\n6517 9157\n1603 5577\n3564 9868\n9976 10115\n1045 11605\n6689 10780\n7322 9009\n4833 9078\n4896 7710\n121 11296\n2402 4252\n10156 10810\n71 12088\n4752 5523\n96 10863\n5808 10439\n1581 3869\n668 9088\n2155 3793\n2811 3252\n6530 11893\n5538 6750\n10063 11976\n1022 7162\n6825 8518\n844 2798\n8545 10156\n5968 8546\n3822 9349\n4843 8394\n852 6611\n5594 8587\n9148 9209\n4724 12172\n4836 11739\n2852 7049\n11207 11483\n5788 11857\n3166 11607\n7627 7933\n9705 9976\n905 10096\n2401 4017\n6235 6862\n10418 11527\n1123 1238\n1699 3140\n5549 7608\n756 5757\n1801 10562\n4283 4316\n220 9353\n5061 6305\n4427 11339\n7349 7628\n7076 11333\n3698 12042\n1412 5918\n8385 11876\n5188 7843\n7047 7570\n8682 9338\n3483 5372\n5014 10145\n1231 9844\n1842 4715\n2619 6903\n7021 10252\n8938 10577\n144 10429\n6790 11124\n1501 5105\n163 8012\n1459 10922\n8043 10368\n5313 8218\n135 10456\n5905 9069\n1940 11674\n5219 5583\n5412 9475\n2013 2460\n5067 5657\n5019 10733\n893 2627\n8231 11825\n109 1255\n8483 9449\n3178 11487\n272 4062\n6478 11396\n8579 9466\n6347 7306\n2093 2670\n10588 11755\n3763 3921\n2662 10236\n917 6244\n5630 12162\n2572 2956\n101 8605\n130 4644\n7895 11108\n2045 6157\n1677 3341\n2885 7879\n1963 9207\n4382 5444\n2576 7198\n6903 8815\n3301 9821\n4875 7455\n11702 11922\n3997 10170\n690 9811\n212 7963\n3627 11962\n3095 3371\n473 4679\n2168 2715\n10083 11032\n2634 5061\n6980 10623\n1237 5247\n8719 11017\n10675 11122\n7628 9528\n1137 4715\n5417 9943\n3880 6944\n399 3086\n1736 10168\n4015 11350\n3086 8870\n145 410\n260 3004\n1151 5329\n8563 11185\n7535 7757\n2973 8128\n2644 10784\n9656 10215\n1869 8657\n10695 10902\n5030 7906\n1 11666\n3215 4316\n3827 4025\n2076 11229\n4134 8084\n10 2786\n3974 10175\n351 11235\n4072 6492\n246 2018\n1348 11208\n3262 7632\n6834 9905\n4048 10008\n2803 3612\n1061 5369\n7675 8450\n6592 10991\n6768 10742\n2607 5222\n2971 8654\n2440 6528\n4222 6343\n1667 3292\n77 2859\n10150 10603\n3297 6314\n8209 11128\n4116 4781\n4387 7402\n5847 8614\n7832 8074\n2223 2811\n6810 8631\n5108 8766\n1727 9508\n1088 9303\n3397 10418\n7221 9408\n1969 10223\n2189 8389\n7482 11222\n7414 9460\n3434 9514\n5367 9098\n5381 9027\n1818 8361\n4312 10882\n10188 10205\n3483 5513\n452 7630\n2609 8094\n2232 10589\n1132 2682\n650 3971\n3240 11421\n1813 8827\n5734 9286\n565 2879\n6919 8850\n9026 9698\n1583 9825\n4341 8001\n8639 10313\n4185 6818\n3280 8396\n97 7775\n3984 7177\n4533 9583\n668 11457\n1406 11239\n2681 3646\n10985 11670\n1344 10565\n5279 9621\n6208 9950\n2523 4132\n3815 8420\n17 4321\n508 6736\n3178 4245\n2353 10067\n1949 8510\n2110 11281\n3214 3662\n482 5472\n10457 12117\n5306 11503\n7294 7775\n1941 8156\n4485 9657\n10544 11104\n977 3681\n6075 7924\n2078 8300\n537 9845\n6130 11228\n1663 9856\n7994 11696\n8490 12125\n3054 7596\n5178 9623\n2602 9678\n4067 5628\n957 11130\n7319 9516\n5641 9734\n2512 11524\n2183 3211\n3361 6396\n245 7779\n1040 10339\n1234 6654\n985 6901\n4533 9201\n5982 7273\n2430 6292\n986 11122\n8175 11680\n695 9284\n5467 11237\n3345 10687\n4264 6225\n2032 3737\n7688 9418\n6207 6490\n9812 10547\n1481 7615\n2986 3805\n2931 7381\n2101 5004\n3668 4995\n8982 9471\n4042 10675\n438 7430\n3590 11749\n7028 7085\n4072 10959\n9653 10276\n256 7944\n6538 11788\n3528 5726\n3934 8698\n499 4320\n10637 11808\n973 2801\n3205 10060\n3393 9712\n5220 11361\n6406 8552\n7188 8744\n332 7730\n3914 9084\n3102 7036\n1899 10934\n7737 11436\n10840 11378\n4226 9033\n561 3506\n4843 10613\n7543 8967\n1584 3641\n6753 9752\n118 4840\n2293 7450\n3724 7956\n1178 3159\n1989 11166\n537 6604\n9606 11979\n9285 10438\n1323 3239\n849 10860\n2567 5169\n11320 11894\n6659 6740\n5818 5982\n3732 10281\n1399 10156\n3796 8358\n2680 5400\n2757 7915\n8353 11823\n1173 6888\n1001 7265\n133 4193\n7660 9912\n5220 5454\n1667 9901\n708 8428\n8854 9907\n2212 5067\n1544 10344\n10912 11536\n2860 12026\n370 3032\n9337 12164\n638 3371\n5993 7586\n2969 6426\n7051 12172\n7909 7945\n4495 6631\n2868 3679\n8402 9937\n6696 11701\n4213 7356\n1548 4570\n2564 8510\n5089 5555\n1528 1709\n678 832\n8327 11371\n2204 7569\n3698 7107\n6944 8155\n9453 10244\n3963 12118\n2724 6368\n1399 2092\n4968 11118\n4146 11387\n3829 4419\n156 8542\n8169 10819\n4157 8612\n1000 9669\n1975 9034\n2113 11479\n7310 7984\n5205 8230\n1783 4655\n3863 4061\n957 7913\n7463 9177\n3023 7865\n3246 8679\n46 6090\n220 5041\n1980 8784\n6906 11290\n8838 10422\n2240 4686\n1270 3724\n2188 2724\n2437 11996\n5215 6274\n1335 4586\n2824 7704\n3347 3718\n1358 2095\n3459 4820\n8332 12079\n1456 2874\n4452 7245\n9375 11466\n6401 11442\n6805 10776\n2672 9823\n1637 10060\n4948 7730\n2358 11543\n513 11465\n7001 9568\n121 6364\n3374 4444\n3825 7923\n9014 9679\n2690 9114\n4289 4296\n865 3793\n2834 9722\n2444 10051\n8347 8723\n3188 8587\n2401 11953\n4633 10267\n5189 5994\n4762 10311\n721 4687\n1806 4942\n8602 11346\n6663 9959\n8900 9977\n8556 9219\n399 8869\n4849 11396\n9088 11559\n394 12099\n4195 6802\n1259 5989\n5660 10969\n7242 11711\n1811 3981\n1392 10465\n5378 9069\n5824 10132\n1317 1829\n1457 8789\n8334 10760\n1331 4517\n4386 12155\n6359 6901\n716 4519\n146 6432\n6662 8009\n6162 11053\n4489 10015\n1302 12039\n11163 12100\n47 2599\n628 8216\n5296 10806\n2735 8933\n3031 7561\n855 6462\n4018 5684\n8631 11382\n2219 7648\n6083 12140\n13 7681\n1083 7253\n6299 9926\n3199 6399\n10489 11112\n3596 4625\n3620 8136\n1073 6342\n233 8281\n4234 6002\n6946 12084\n8118 10135\n716 3975\n5905 9973\n915 9539\n1569 10271\n6338 10032\n5905 11069\n3688 7115\n2559 10097\n5017 10152\n2580 9205\n1664 10262\n7295 8251\n6789 8099\n326 5449\n3464 10104\n3169 10463\n10677 11011\n5484 7272\n10523 11472\n6341 10548\n2139 5144\n2289 6385\n889 2432\n961 3134\n748 10710\n3629 9205\n5109 9356\n2927 10446\n6359 6673\n4308 6775\n2444 3575\n5149 11384\n367 5313\n3360 8385\n1732 2782\n70 10439\n1704 8247\n3660 10387\n4713 5379\n8313 10988\n2503 8893\n2762 3356\n1930 5402\n7924 9971\n1620 5617\n3357 5642\n2505 10734\n7365 11353\n6765 8792\n1720 8022\n5841 7451\n4051 9967\n8731 9793\n1487 4895\n1811 10594\n6453 9265\n1506 9906\n971 9031\n212 4369\n4436 6953\n5022 8354\n3149 9350\n4528 9270\n441 2911\n2811 8662\n6386 9092\n3814 8839\n473 1911\n2158 4758\n829 3627\n7146 9174\n4381 11793\n3252 8789\n2536 10976\n9921 10758\n360 4640\n4227 5019\n10736 11634\n10043 11422\n2925 7429\n656 3565\n9749 10688\n400 3098\n4440 5061\n7248 9849\n3452 4144\n3405 6572\n5583 5707\n4559 8545\n2462 9687\n7053 11389\n5200 7969\n6885 8457\n8191 10765\n9021 10159\n1329 1367\n3850 6368\n5456 11322\n856 11159\n3093 3166\n5876 10779\n4274 8356\n5926 7971\n303 4661\n2302 9026\n6226 10809\n3903 9146\n2588 8454\n6804 7526\n3212 9308\n1096 12167\n4481 11665\n4513 5908\n1491 4429\n9843 10077\n4697 12122\n3009 8581\n6190 9108\n9091 10874\n1324 7851\n581 8513\n5924 8317\n6333 7814\n9308 10854\n2872 10101\n3753 9641\n8595 11527\n2587 3045\n2885 11532\n827 9513\n6986 10882\n2973 3939\n618 1374\n4152 4526\n5686 8496\n2179 6007\n7350 10865\n5414 10870\n634 12131\n3901 6662\n4995 5665\n8563 9720\n5232 5515\n1351 11715\n2477 5668\n1672 7653\n143 6011\n2943 5997\n3514 6351\n6690 9000\n111 1391\n1243 3950\n5459 11594\n2555 2857\n9792 11733\n6461 7384\n2942 10962\n435 4770\n2922 9487\n9983 11865\n11420 11648\n6851 7036\n8300 10163\n1074 9299\n6171 11768\n2397 8271\n7789 8873\n7286 8183\n3124 5751\n3377 10342\n5246 11719\n1957 6467\n2492 10322\n4844 6609\n3664 6796\n932 4357\n9615 11271\n1540 5934\n2502 5154\n1741 11031\n2583 6163\n1398 4883\n8229 9673\n1894 11191\n1895 4661\n429 8312\n6969 11179\n8263 11964\n3197 5029\n2518 5129\n6406 7585\n5840 7583\n7571 11689\n6642 8070\n2291 5233\n3369 8029\n6074 8066\n2782 10925\n5343 9739\n4565 8729\n2275 7724\n11183 11522\n1912 5187\n8661 10775\n791 11522\n2512 4031\n915 9344\n3166 3384\n2116 2497\n7747 8387\n6780 6823\n1465 2905\n8905 11767\n399 7905\n9074 11270\n7034 9677\n7869 11568\n5335 7884\n4584 7513\n590 5803\n119 2712\n615 8211\n952 3826\n682 6539\n971 5067\n9097 11184\n8436 10561\n2706 4263\n7600 8304\n9475 12176\n3709 10384\n10631 10670\n4922 6775\n3780 8073\n3130 4006\n2629 7806\n5223 9482\n3135 5600\n4805 6912\n4333 8107\n9137 11453\n933 4895\n5387 6455\n4773 10482\n3829 8282\n3055 9225\n2474 3163\n7005 11917\n3204 6791\n2841 3082\n1541 2931\n81 3043\n8569 12029\n393 7950\n5886 8517\n339 1213\n482 5096\n1037 6777\n7605 10323\n1687 4162\n1252 8955\n383 7472\n6672 9948\n6588 7488\n284 8891\n7135 7957\n4489 11870\n2384 7388\n8574 9250\n8239 9786\n2311 10599\n2234 6548\n304 6372\n1790 11282\n1470 2454\n3999 8457\n2295 3210\n4117 10826\n2859 3006\n992 10836\n6929 9719\n2906 11358\n2556 4800\n76 7307\n1813 11948\n2913 9011\n4550 11711\n1402 12164\n9570 10858\n712 3588\n4748 6524\n2969 7016\n2398 8230\n10274 11309\n3036 11780\n9321 10608\n172 8440\n1824 4040\n4453 5270\n752 10768\n194 10944\n9880 11981\n978 9088\n7254 11571\n2944 3945\n5950 11803\n1554 11311\n2783 10312\n5405 6499\n5285 6575\n4847 6956\n7535 8775\n1853 4010\n857 10098\n3237 3968\n1314 9397\n1414 8502\n3997 7567\n6560 9117\n453 5070\n4491 6625\n483 11245\n4959 11667\n330 570\n8266 10177\n4887 5668\n1878 2494\n4119 12132\n6196 12124\n2644 3921\n481 11856\n5807 8320\n3639 8729\n8326 8923\n8667 12165\n2213 11331\n3380 5211\n5470 11551\n6613 11595\n1070 1983\n1810 3896\n7492 8912\n1841 2876\n9006 9642\n8014 9914\n3619 9235\n3785 9372\n2394 2736\n3730 9505\n4292 10123\n8917 10871\n5046 6013\n2040 2592\n5079 8810\n2183 3847\n8625 10605\n5133 11043\n2534 8958\n2084 6792\n460 10163\n5522 11561\n1114 7448\n2272 9007\n1574 6970\n4676 12142\n7213 10256\n4172 5093\n2933 7853\n9788 11722\n4655 5554\n1089 1364\n1131 4266\n6391 6971\n6282 7296\n678 10956\n42 3510\n5491 8968\n3179 11121\n2126 6845\n6052 8483\n1836 6893\n4538 8738\n5202 6099\n1321 6020\n570 7914\n2601 11838\n3139 4217\n9312 10646\n2468 8774\n1489 12098\n3479 4459\n2428 4703\n1778 8198\n3479 11781\n3145 4046\n773 5135\n147 11781\n387 9770\n6447 11240\n2362 8098\n1109 1323\n3166 10790\n8462 10225\n1147 1819\n11721 11957\n2347 8144\n2410 2806\n500 6643\n4286 8164\n3299 9400\n3055 9864\n1023 3394\n6218 10005\n153 5990\n8796 9240\n2196 7875\n4029 10348\n95 5495\n3974 7342\n132 7689\n4931 5092\n6370 11873\n2302 11162\n2404 5414\n4167 9455\n2134 2449\n5119 7080\n7467 9734\n915 3768\n6626 11563\n3917 9919\n4313 6588\n1289 11869\n5957 8417\n284 7682\n3573 9553\n4114 10263\n9869 11257\n2524 9693\n193 8410\n4455 6368\n7318 9215\n2529 10532\n1438 8621\n1511 9674\n3245 4481\n5021 5994\n244 9418\n2814 7952\n3638 8369\n1217 6710\n9239 10169\n1638 3612\n453 2390\n475 978\n4451 11172\n1262 5662\n5660 7860\n10702 10743\n10526 11661\n3677 3856\n4679 8958\n5602 7882\n913 7363\n1172 4150\n5622 9594\n1166 10825\n2560 7788\n5157 5919\n8328 11500\n7023 11134\n578 7609\n3635 9673\n10973 11509\n6324 10186\n2424 3146\n2066 8071\n2773 3442\n1808 2877\n330 2188\n8044 11099\n720 1548\n6312 10415\n1097 3584\n3374 7915\n6837 7486\n3785 10628\n5130 11776\n2302 6409\n5192 6203\n307 4922\n10021 11107\n956 8471\n3883 11986\n1728 7563\n4559 10695\n1369 11571\n7315 9989\n1617 4583\n1567 6082\n5533 11708\n8522 8566\n8606 9187\n1750 6644\n2981 8482\n5016 6294\n4677 6367\n54 774\n58 5518\n616 3428\n1167 6695\n2942 9207\n11713 11953\n949 11263\n3589 6610\n2819 10115\n380 4846\n1637 2039\n6401 11971\n7659 11444\n5696 5976\n7001 11786\n5757 6133\n452 7438\n866 2003\n4323 6191\n3089 8041\n1895 9908\n925 10238\n1817 8860\n8180 9581\n995 1363\n7567 9197\n3072 10626\n247 12147\n3274 9407\n4848 7675\n4705 6524\n8215 11274\n3983 9547\n4510 8457\n2717 10973\n2114 11326\n1127 2276\n203 11220\n66 7296\n2687 3652\n5481 10695\n5999 12044\n304 767\n2873 4311\n409 10955\n923 10274\n7443 8513\n185 5960\n120 2789\n557 5699\n1665 7193\n8379 11156\n1861 9160\n4213 6982\n3840 8816\n2029 8707\n2625 6451\n1668 5269\n8971 9296\n8446 10634\n2395 4321\n3566 9169\n2357 8667\n1290 5268\n4151 9046\n6457 9931\n3648 12020\n6900 7704\n2498 9813\n989 8628\n8236 10019\n894 7001\n2974 5262\n3751 10258\n677 8028\n1752 4884\n4552 5510\n9292 11661\n1348 12193\n881 5488\n4099 9326\n6751 8340\n9555 11782\n10522 10562\n1131 8767\n151 3094\n6981 9948\n8527 12168\n4027 5428\n3641 11293\n3702 4962\n6773 11670\n5080 9936\n5790 6252\n394 6409\n6580 7842\n11856 11941\n7280 7358\n10496 11430\n4168 4903\n10645 10844\n11680 11778\n6898 10866\n7272 8451\n3450 5431\n6207 11662\n3480 10040\n7121 7349\n9227 9812\n1464 5815\n357 1939\n7477 8486\n2700 10559\n971 9571\n3533 5677\n5988 7690\n506 7793\n1582 3706\n3012 4036\n4059 5360\n1535 10746\n6048 6671\n1504 10833\n4057 7071\n294 10809\n6454 8380\n7983 8095\n1166 10324\n9342 10130\n3884 4697\n4686 9317\n5273 9684\n5388 5980\n6293 9185\n3316 8995\n990 5473\n7722 11228\n2302 10638\n1609 4836\n1330 8326\n3007 10491\n329 7383\n2436 4110\n925 2877\n2491 9100\n3227 3270\n3640 10371\n1275 9738\n4453 8931\n42 7758\n10573 11234\n5489 8139\n7109 12153\n987 4662\n1914 4535\n5765 7165\n1074 9376\n3771 11021\n1794 9443\n2932 5768\n3013 10259\n649 4287\n4254 5674\n1390 10122\n6010 12066\n2738 9203\n2831 11960\n7805 9722\n8620 11031\n6216 9304\n1794 10977\n305 6503\n2676 9479\n5637 6366\n320 5692\n7236 9727\n1256 9998\n6833 11698\n5947 9155\n446 4515\n6140 7961\n3608 8172\n672 10153\n3391 8544\n4672 8048\n8003 8420\n5 11741\n6441 8684\n3894 8496\n3175 9286\n1143 8074\n3384 11585\n1941 2093\n3099 3100\n223 10531\n7 2553\n3808 7351\n3704 4461\n2872 5387\n2558 9210\n627 1923\n3233 7054\n8778 11310\n4584 7336\n4906 6841\n4043 7847\n9752 10741\n3137 6202\n9828 11276\n5961 6514\n4295 9843\n7834 11574\n8057 8358\n1623 6056\n1972 7234\n3811 11814\n5939 11389\n3657 8106\n5376 8616\n6333 11636\n1463 7652\n2172 3653\n4445 10896\n1869 8624\n3997 6013\n5066 9708\n2190 8675\n8651 9502\n5937 8153\n4616 6211\n2853 4039\n2374 5296\n7453 7797\n1118 3785\n2211 12011\n3757 11492\n2632 8548\n7507 11310\n225 8703\n2953 11081\n3329 5436\n7836 11782\n3560 8959\n675 7912\n10617 11805\n2995 11248\n1337 4101\n3448 9899\n2202 4291\n8437 10563\n5550 11886\n3110 10468\n6973 8635\n6782 11009\n1194 5930\n3911 11784\n3946 5909\n2783 7318\n5791 9357\n8893 9422\n4065 6657\n10021 10042\n3973 5577\n3117 8525\n4071 6919\n2042 2638\n1129 2188\n2749 10681\n1869 3579\n4170 8473\n3092 6759\n6 7145\n2382 6576\n4245 8588\n401 3073\n606 8424\n1542 6524\n7502 11978\n9908 10234\n650 915\n5316 7055\n10414 11978\n2656 11658\n4554 9862\n39 4995\n4473 8340\n712 5339\n5976 8212\n1524 6855\n2748 8824\n3063 11814\n8673 10484\n3942 11847\n8144 11126\n1790 9816\n6885 7766\n6795 11065\n7507 9411\n10157 11087\n9149 9893\n6883 11610\n2246 8398\n7511 7648\n9673 11318\n957 11266\n7883 10329\n6944 8422\n10384 11849\n4600 10791\n8357 10513\n915 6705\n8170 10614\n1660 5589\n4605 11572\n700 8209\n3414 11602\n2243 3418\n2155 9199\n8844 11539\n2374 2608\n1146 3849\n2847 4794\n792 2677\n5838 8962\n10429 10626\n7329 7681\n3550 11767\n3055 7534\n5776 11245\n3034 7053\n2869 8455\n9403 10447\n999 2383\n473 4389\n2533 7496\n2013 11568\n334 3137\n814 1714\n597 7439\n4444 9688\n5180 10724\n5972 8323\n7331 9153\n1454 3576\n2804 8013\n327 4147\n6546 8495\n5862 10322\n176 8880\n11490 12195\n4552 6790\n2218 11772\n1627 11080\n8629 9130\n6821 10872\n3485 8098\n6050 10922\n2488 9212\n2745 9653\n8415 9453\n1133 6601\n2141 10563\n7669 10258\n3842 5532\n923 5430\n2147 3166\n3199 8167\n6873 7889\n9117 10704\n722 7258\n4921 5116\n2011 10329\n4411 12010\n1926 11630\n6019 6885\n3087 10302\n2133 7322\n9711 12179\n10169 10231\n2400 3380\n4555 6207\n507 7200\n6510 10650\n12016 12054\n38 3779\n159 8719\n6711 11675\n2071 6835\n5632 5832\n1062 3889\n378 7909\n1905 5850\n5397 5934\n1267 5684\n6064 11871\n1052 4624\n512 5303\n1535 3645\n10216 10807\n4568 6425\n1890 4556\n1331 3151\n215 4948\n1772 3375\n1357 6205\n5139 8079\n9762 12157\n1878 5454\n2599 10155\n936 10157\n1776 6782\n3027 5997\n730 5457\n3995 9210\n1890 5884\n2266 8806\n376 2377\n10 3401\n1747 8937\n6555 10316\n600 7613\n2200 3965\n2727 8955\n248 1027\n6838 10604\n6784 9892\n4261 9291\n2321 9927\n3064 3234\n1313 11579\n2256 10741\n799 11486\n1887 5798\n3585 11497\n3077 3516\n1842 7385\n2431 9567\n1398 10277\n4991 11862\n5718 7586\n8116 9820\n3965 8693\n856 11275\n937 992\n6108 7006\n7029 10183\n4315 9459\n814 8491\n3311 6792\n9931 10920\n6061 6305\n1523 7950\n1315 9758\n3586 3714\n601 6973\n3717 11736\n2230 4034\n68 10735\n2666 7530\n6270 8468\n1302 5909\n490 7068\n6521 9036\n8843 10945\n1477 9491\n8210 8644\n4291 7240\n368 5689\n3317 9070\n1851 5880\n764 11220\n2871 3295\n1352 11896\n6821 7876\n7096 10553\n1509 8425\n8056 9031\n2111 9413\n2125 11564\n5627 7123\n9563 11404\n3977 10992\n1221 5494\n2728 8409\n9273 11605\n3087 4857\n584 8581\n10153 11101\n4757 6859\n9510 10183\n3751 4906\n1258 1779\n6469 11564\n8424 10145\n1297 9750\n6799 9042\n3366 6970\n4396 11268\n2066 5882\n1192 6643\n1012 10840\n4280 10267\n8519 9680\n4109 11638\n3022 4447\n2671 5979\n8351 11421\n4243 10035\n4000 4094\n2199 6024\n7214 9537\n2704 10086\n5912 10084\n1277 8992\n3402 7712\n1561 2021\n1162 4313\n2559 3672\n142 6334\n2213 2308\n5740 5848\n6627 7758\n2144 8879\n430 4149\n7282 8809\n9873 10579\n2016 3377\n5031 5785\n6128 11905\n1400 10490\n4322 5865\n862 12170\n6929 10438\n1830 2813\n7830 12021\n9991 11261\n4323 11931\n4331 9988\n2758 4799\n695 7379\n932 4524\n9663 10896\n6127 8358\n5281 10740\n178 1663\n2756 8430\n1324 11585\n4712 6839\n2330 4385\n983 10647\n5534 11979\n543 10086\n1040 9393\n2183 5425\n10625 10957\n935 2206\n1749 9067\n212 10758\n2077 6496\n196 3627\n6492 6731\n6498 7776\n5760 8717\n5372 7177\n4355 11946\n4073 9186\n1312 3272\n3893 8410\n3589 10160\n9548 9892\n3428 10911\n2958 11507\n2093 8008\n643 8960\n4548 7025\n1104 5858\n69 2104\n6549 7972\n697 2472\n7189 12120\n1331 2756\n1821 2597\n5397 10955\n1308 9893\n628 9445\n8671 10072\n5751 6457\n6014 8127\n9670 10029\n6782 10681\n318 11263\n1906 10402\n1618 3072\n3158 9012\n3699 8122\n2575 9142\n3118 6911\n323 11514\n1994 7948\n796 2735\n1478 2829\n6537 7251\n7752 10370\n4646 4897\n6235 11804\n710 12139\n4189 4677\n6698 12049\n6599 10690\n9063 9358\n5780 6859\n10021 10620\n7847 10363\n4792 7439\n225 12177\n10698 11313\n6039 11019\n5714 9801\n8613 10267\n4108 11748\n107 2461\n74 7161\n5514 5857\n619 3892\n4355 5482\n2890 5730\n10127 11684\n4178 4600\n3417 8533\n9366 10216\n88 2181\n4066 4306\n335 7516\n5993 7085\n1899 7599\n5890 7124\n144 10805\n7216 8317\n1525 10726\n1576 6170\n1823 8502\n6357 8659\n6080 10620\n67 933\n2905 6268\n9486 11622\n4122 6852\n1222 4655\n8109 9915\n7854 8085\n8530 9499\n602 5178\n2239 5836\n3888 8675\n1490 7478\n4027 9088\n8757 11105\n3478 10754\n7219 10983\n118 3876\n6881 9287\n6586 10879\n5520 10159\n1455 10213\n1384 5305\n2568 11339\n3696 4377\n135 9774\n8400 8805\n136 9949\n931 11159\n6232 8403\n800 8744\n2374 8817\n5174 8217\n7635 8159\n2423 7156\n4603 11031\n7056 9341\n1275 9420\n6624 7284\n892 7713\n491 10819\n10611 11611\n6542 9560\n3439 5608\n3813 7338\n9602 10706\n6760 9220\n5189 7902\n5978 6682\n536 4491\n1429 3267\n890 9843\n2460 3381\n6293 6397\n6582 10373\n3948 7530\n4255 4919\n5462 8275\n5213 6980\n5938 10299\n11779 12017\n2797 6161\n6460 9001\n988 10916\n2068 11575\n9054 9614\n1296 10395\n8982 10257\n3387 4703\n7365 7902\n6551 10776\n1190 3316\n7313 7382\n1371 8002\n2491 5064\n8800 9832\n130 4226\n623 5209\n4033 6121\n1911 3269\n7423 7803\n4534 4545\n2084 11620\n4387 11549\n5309 9275\n2658 11416\n5117 7978\n8608 9960\n3477 5085\n5291 11877\n2799 5139\n4430 12064\n5806 6225\n6726 8352\n362 5613\n254 944\n6490 8547\n7501 8580\n1111 2237\n446 6549\n5041 9693\n3490 5966\n4174 7855\n3614 6362\n6001 7123\n5252 10010\n2399 3054\n2908 4369\n7402 10236\n4699 8331\n4569 10476\n4194 6831\n8503 9749\n9962 11539\n1220 2595\n6928 12194\n3373 6570\n1542 6654\n7382 12082\n221 5888\n6211 10489\n1240 9120\n3743 4517\n10504 12024\n4541 11934\n646 11190\n1227 9007\n5846 10191\n1965 4969\n1678 3601\n7249 11592\n8076 10755\n52 11473\n5935 7578\n748 7386\n2189 3026\n7350 11659\n365 9653\n1118 10120\n702 4458\n3796 7074\n3323 11513\n919 8640\n6488 7051\n947 3134\n347 8626\n2500 4618\n6314 10664\n7222 7888\n4577 6023\n1311 1872\n517 11316\n723 6293\n5137 6993\n1597 11375\n4155 6071\n3659 3663\n1447 11207\n2593 7207\n6208 7073\n2536 10136\n6425 9392\n7138 7253\n6432 6669\n6626 11283\n8221 12105\n115 11829\n219 1009\n3460 5604\n969 2268\n1542 3495\n7118 11399\n3418 7847\n1507 1768\n1341 6520\n6301 7886\n2805 6462\n45 2604\n4589 10587\n4198 8360\n9809 12166\n677 5565\n1540 7935\n5823 9432\n2114 9339\n1068 10347\n3141 8710\n404 2651\n634 5098\n1423 7711\n2871 9736\n4601 8791\n4228 10877\n7074 8465\n6842 8982\n6398 10141\n7501 8059\n1441 7830\n1600 3097\n1335 2764\n2830 3032\n4911 6517\n5031 6503\n8374 9814\n3651 7689\n2659 4643\n5367 10087\n2616 10580\n1111 7819\n7201 10842\n5767 10039\n7314 10063\n3148 3767\n1870 10969\n7841 9230\n2252 10177\n1981 9468\n4235 10856\n325 2581\n4373 9099\n1197 2914\n7601 10081\n2877 6957\n864 10826\n2315 9240\n10581 11828\n3569 7878\n2527 4880\n1253 7926\n5126 10133\n1572 7750\n6627 6997\n8695 11422\n5309 10537\n6041 9630\n6952 11326\n6594 11092\n5853 6384\n9701 10325\n3835 8673\n6634 9543\n1043 11206\n9441 9805\n3903 5426\n5804 8891\n6383 8635\n599 10898\n2652 9628\n3117 5702\n10347 10968\n1714 7650\n676 3771\n827 4019\n6914 7033\n5376 12152\n373 4444\n2428 6370\n3321 5726\n387 9366\n5988 6444\n2614 6812\n196 8137\n5277 7186\n4663 5336\n1123 2771\n5090 7759\n832 6257\n10601 11970\n1100 8636\n4789 9619\n2093 6900\n111 10545\n7743 11747\n4552 10701\n1492 6834\n9061 12009\n1320 5606\n4386 7970\n4562 7581\n832 8341\n3449 6988\n2497 5156\n3050 7937\n3200 10064\n1309 9986\n3001 8557\n2893 5909\n650 6511\n2131 12141\n2189 3268\n8020 10937\n4221 9675\n4553 6558\n161 3802\n4539 10207\n4465 6867\n478 9532\n9966 12193\n3429 5060\n9461 11805\n2064 11463\n1034 3500\n1772 9636\n5116 7903\n3672 8817\n9655 11390\n7003 11317\n1570 9931\n6847 10355\n2135 9702\n5606 6310\n6685 10670\n2831 8183\n5983 9273\n2676 4256\n1846 1961\n2368 3428\n2445 7727\n11472 11951\n9884 10968\n5593 10305\n8636 11207\n7365 11837\n449 2535\n6652 11311\n4469 4714\n7841 10893\n9669 12104\n89 8840\n9897 10457\n5922 6049\n8030 11870\n2680 7999\n3262 8187\n3611 5552\n6398 11060\n8487 9930\n6980 10883\n8196 8927\n1907 4613\n1247 11071\n5070 8679\n2208 7900\n9405 12078\n2033 5463\n1847 10997\n4842 10289\n7958 11316\n2248 6928\n6713 8541\n7359 9007\n233 6604\n7503 8635\n6526 7834\n9004 10110\n3547 4057\n589 4407\n921 1644\n2380 5034\n2745 6478\n9735 11163\n2111 11570\n2604 2764\n2170 6195\n7184 8394\n4650 11706\n1176 11746\n6097 9841\n6630 8958\n2084 3785\n1406 9228\n602 3942\n6498 7698\n4531 8981\n6224 10592\n2154 2428\n3891 9469\n6354 9170\n1638 4217\n626 4201\n4443 8740\n2386 6975\n1252 11284\n1242 3556\n8657 11249\n5261 8199\n1865 11537\n333 3370\n2678 8742\n2215 3562\n5440 8498\n2689 7416\n6997 8605\n5522 11898\n4373 4547\n5193 7360\n4070 5001\n6761 8817\n5997 9798\n1272 7716\n1255 3717\n2301 3599\n4166 10636\n5970 6185\n10124 11313\n2595 10963\n8783 11600\n5794 8475\n2437 9091\n6601 10045\n3038 4414\n7475 9767\n4454 8732\n10577 11250\n5004 5510\n3593 6325\n7630 9434\n789 6039\n3551 9542\n2926 4643\n83 9260\n639 4295\n6215 6501\n3264 3850\n7957 10851\n803 5509\n4327 7310\n349 4272\n3043 6203\n10801 11284\n9066 11079\n687 6675\n1305 2737\n3131 8920\n1756 3552\n3668 10464\n4494 5901\n3262 3547\n4136 8917\n7461 11323\n2472 11592\n4998 7589\n6427 8191\n943 11580\n8903 10018\n282 9191\n5781 8006\n5720 5847\n8280 9286\n13 2493\n275 9853\n1195 3746\n3913 9489\n5508 6455\n1433 7161\n5994 6483\n11441 11819\n4242 8804\n156 7442\n6816 9178\n8372 11452\n919 9751\n282 10648\n1671 5010\n5299 9539\n5730 10002\n7823 8832\n3073 3183\n2486 6965\n3065 8853\n4525 10298\n5770 8981\n1678 4890\n7757 11377\n1276 5244\n1795 6267\n2567 11015\n6288 6809\n1808 11916\n3450 7443\n4804 10093\n1795 2123\n239 6616\n1963 4794\n6451 11051\n4475 8053\n3251 8469\n5340 8150\n6608 6695\n971 3978\n2459 8855\n8955 9189\n10328 11667\n25 2732\n665 3315\n2221 9603\n3449 10913\n886 7193\n4954 10499\n7243 7550\n3636 4922\n5561 7153\n6327 6977\n6346 9779\n5277 10136\n4821 10631\n6039 7829\n695 1637\n8638 9711\n710 2633\n4330 10939\n654 9413\n3120 9113\n3970 8446\n1884 10512\n9830 11615\n1195 11223\n5797 10543\n4566 8170\n4107 9404\n10325 11204\n7937 9463\n6837 10118\n1807 2287\n80 6245\n1360 11954\n7127 11509\n1780 7298\n2502 9596\n2861 6623\n5995 6458\n4810 5059\n553 11778\n5208 8656\n5131 5821\n1122 3018\n1082 1713\n9004 11765\n3782 7149\n4425 5527\n4088 5876\n5642 10904\n2453 4465\n5544 10738\n3495 7931\n1476 11505\n1073 7962\n5977 7605\n4364 9742\n2994 11087\n7964 8926\n4256 4619\n10321 12162\n82 5184\n2542 3032\n9691 11875\n3618 5027\n756 3606\n2259 3921\n5814 12052\n1907 3946\n2101 5987\n3623 9959\n892 3293\n11666 12107\n5475 10344\n203 5299\n5069 6140\n2765 7540\n2398 2981\n4148 9171\n4107 4434\n5673 11466\n325 5508\n5302 10907\n6803 11426\n6952 11746\n8177 9330\n5405 7318\n594 5096\n6077 7960\n2591 6433\n2812 4002\n4581 4992\n10392 11038\n247 9687\n7711 10671\n5312 5699\n4890 5531\n8157 10088\n7425 9299\n2588 9445\n615 8249\n1876 11324\n3818 4853\n3113 3982\n607 3852\n230 3000\n3293 6843\n2858 5874\n4649 8871\n3628 8105\n5636 7272\n1136 4063\n1591 6585\n3157 9919\n7565 9156\n4484 7035\n1236 9427\n5748 8579\n6002 9296\n3274 12108\n3777 5853\n8095 10440\n2142 5645\n5767 7643\n6316 7807\n6502 10956\n5488 10428\n8607 9662\n3714 11761\n11824 12079\n3594 8495\n5398 11542\n10193 11764\n3008 5105\n8334 8369\n7624 7722\n6519 11975\n3014 6724\n2870 11996\n941 3340\n7828 10239\n136 11331\n3216 11427\n4998 11547\n6646 11821\n8850 10304\n3535 6315\n2260 9846\n822 2169\n3276 9547\n1780 4265\n1041 4763\n6856 11501\n3632 9726\n538 2711\n6473 7687\n626 10161\n472 3511\n125 1861\n8511 11714\n1273 5737\n3814 9798\n269 3232\n4526 10074\n121 11852\n1452 10456\n8198 8616\n4817 10995\n3359 8228\n172 4537\n117 3619\n8571 9864\n2965 3939\n3444 7494\n9403 11580\n1380 8144\n962 6495\n2316 2453\n1555 5453\n4180 10892\n7105 9455\n7985 10021\n2721 4233\n3538 4166\n1477 8135\n339 5276\n3625 6156\n5709 6963\n7635 9180\n1846 8224\n3608 8325\n3722 8296\n7396 9202\n8907 9778\n4847 7523\n2623 10716\n1702 9475\n3831 10582\n6743 8334\n11908 12176\n7759 9678\n750 4793\n3641 9992\n1001 8733\n960 9579\n225 4970\n6276 9165\n8056 11093\n1658 3690\n3889 11518\n1995 10129\n5263 8589\n2848 4273\n3200 11273\n2721 7298\n2709 8042\n62 6124\n7683 9384\n6820 10689\n7814 12036\n9008 11306\n8892 10133\n2702 10170\n6378 9646\n766 3631\n681 9798\n9946 12192\n7129 11720\n5506 10571\n825 5054\n4140 7616\n2588 6911\n4940 11052\n841 5443\n5197 5822\n8492 10238\n811 8404\n9851 10256\n2523 7198\n6450 9225\n13 11356\n3039 11865\n1912 5890\n1020 1618\n4844 7881\n4995 10596\n737 2773\n380 11253\n5287 5523\n1223 10100\n4007 4752\n3456 10271\n3298 9807\n10058 11523\n201 3466\n9881 11057\n8656 10524\n4076 11254\n5085 9111\n155 6300\n3085 3982\n2160 7698\n9027 11315\n6749 11264\n98 6421\n2589 11501\n1604 8852\n3430 7736\n7004 8908\n1668 2103\n6078 8647\n350 3010\n3100 3544\n751 1695\n5710 11449\n1846 12059\n9320 10520\n9684 11473\n4946 8703\n4687 4996\n10611 11327\n6879 8701\n7348 8788\n3478 9830\n950 1489\n8423 8789\n8295 11198\n239 5428\n3358 6103\n2809 6748\n4490 5850\n4130 10349\n731 3636\n6050 6067\n1169 5122\n3359 8089\n3513 5197\n5874 11842\n1095 5723\n825 10159\n1507 7830\n7123 10140\n555 7855\n6181 6963\n1673 5630\n8994 10899\n742 7998\n2705 8623\n3809 4973\n3872 10119\n4499 11310\n330 10762\n9230 10293\n4963 10415\n5059 8772\n6328 10873\n2850 9447\n10004 10406\n8457 9542\n5857 10920\n5592 9670\n3978 11099\n4908 11483\n5658 6145\n8475 10497\n3965 12092\n9018 9844\n1063 12158\n5696 10637\n4188 5582\n2499 3768\n11079 11207\n2578 4696\n4576 8364\n1298 2070\n6586 10222\n3350 4760\n4037 8667\n1398 10098\n5296 6989\n3108 10534\n3093 11393\n9291 10696\n9763 10138\n1205 7898\n128 4879\n4687 5273\n975 6944\n371 8243\n1136 8408\n8063 10092\n7381 12111\n5115 10739\n6194 11778\n1827 9007\n9725 10550\n9214 10946\n8751 10658\n5122 7972\n1496 10132\n495 3771\n1602 11824\n5584 9325\n156 10608\n4501 5667\n2241 2438\n11019 12151\n9996 11141\n4267 11851\n11101 11964\n5210 8539\n1230 11127\n510 6543\n671 2471\n2122 10879\n11032 11247\n5243 6196\n4500 8438\n1416 10792\n4945 6901\n1908 5263\n4219 5053\n5950 11541\n9582 10535\n5741 8901\n550 2380\n3186 9134\n2554 6196\n9192 11900\n5152 9384\n4335 5538\n7457 8507\n1478 9226\n3564 9608\n3620 5008\n6266 6945\n1432 6075\n5546 10253\n2806 3708\n3621 8550\n5553 9220\n11378 11873\n6269 11268\n6796 7639\n3852 11643\n5255 10443\n3277 9221\n3384 9582\n2785 6366\n8392 8532\n2050 8005\n2983 4467\n523 5773\n2117 11142\n3766 10959\n8652 11339\n2485 6504\n3447 10915\n1244 10735\n2519 10189\n4632 5150\n10685 10775\n2866 3087\n1125 1512\n10724 11113\n8290 9231\n1514 2377\n2142 9631\n2557 6587\n5 7022\n625 3297\n7456 11887\n10950 12167\n4826 10834\n9330 12189\n9574 12006\n2779 11442\n3777 7471\n3698 4975\n1411 4407\n7209 10059\n3428 8774\n5885 10155\n1597 7598\n5758 8292\n5201 7029\n110 10281\n3203 10479\n4120 7191\n6870 7851\n755 8838\n2937 9903\n288 10994\n8143 10477\n1420 8422\n6267 6453\n6878 10477\n1780 2231\n4348 4388\n36 5283\n1272 4167\n1547 10442\n5342 5698\n10382 10961\n2229 11775\n5079 8170\n6076 9178\n5538 10425\n6834 11145\n3864 10599\n1277 11202\n2273 12048\n9851 10883\n3265 6686\n2662 10022\n8168 8303\n2576 9405\n750 8629\n8954 11394\n2247 5268\n1412 7820\n9757 9963\n954 11968\n672 10389\n1549 5823\n3376 3777\n6829 10843\n821 8939\n2542 4439\n1395 1523\n16 10966\n3074 8672\n6095 8538\n166 7584\n346 11534\n4436 8810\n2435 5467\n4761 9928\n6559 7066\n8260 11987\n789 9149\n8317 11681\n5694 10150\n4633 9242\n345 11243\n2027 4739\n10195 11195\n6430 10493\n9808 11377\n7049 9986\n2271 7756\n7680 11014\n2361 6941\n8156 9964\n39 7396\n4593 7699\n2962 8685\n1610 4826\n3516 10498\n7205 9912\n537 9643\n2206 10155\n2268 6042\n7738 8222\n9513 11395\n1060 11947\n2112 6644\n2508 8243\n911 3487\n1977 7102\n9747 10179\n549 2679\n2082 6207\n2319 2414\n4296 5565\n7662 12084\n9565 12003\n5887 11970\n8182 10631\n4476 9329\n7319 7634\n4390 5797\n4750 10820\n854 11784\n1380 1929\n4295 8110\n160 3972\n2104 2546\n1962 9141\n5743 10077\n10002 11922\n7346 8706\n5674 5936\n2664 8839\n3681 10927\n4603 7167\n1328 12127\n996 5041\n486 3974\n9266 10725\n4524 6804\n131 4568\n240 3962\n3359 4688\n91 7966\n1913 8544\n1388 5436\n4622 11710\n4569 6530\n625 4416\n5050 7405\n1224 2829\n3271 8652\n153 3790\n174 7998\n9589 10909\n4348 6715\n386 4150\n9010 11398\n9074 11555\n4766 6275\n1966 10326\n361 7978\n4326 9844\n5330 9853\n6165 11695\n3602 8096\n9709 10642\n282 5619\n1870 4410\n4431 8794\n2586 8269\n5144 6588\n5651 10982\n2396 11735\n3991 4706\n8928 9972\n3001 10212\n1572 2591\n4215 7616\n3040 3668\n7530 11175\n190 680\n6178 12000\n4899 6281\n506 1720\n3364 5290\n3605 7808\n4868 8825\n1100 4792\n7405 10501\n5965 9205\n5904 10823\n715 4174\n2875 8596\n7322 7809\n10094 11491\n7462 9758\n4390 5717\n571 10276\n9177 11769\n2210 4194\n5457 5625\n321 7102\n5765 6026\n3173 7431\n1971 10907\n4771 5095\n6863 11054\n6345 9775\n6502 11649\n3161 12018\n5302 10762\n5064 7721\n1286 5571\n3125 4453\n3958 7778\n9071 10514\n271 2989\n8876 9062\n765 881\n3946 7856\n2575 8156\n289 10544\n8289 8636\n8832 11224\n8043 10287\n4110 6905\n3971 11030\n5739 7354\n9407 10581\n3423 7013\n5703 10625\n2028 8756\n7251 11079\n1674 7138\n4949 5387\n1351 2589\n2360 11594\n783 11331\n2589 8961\n3495 3852\n4864 10161\n11109 11720\n4629 7477\n1790 11244\n5016 5403\n6727 10093\n2237 4365\n2657 6829\n1086 2295\n6511 6674\n6474 11893\n7297 10685\n5155 9532\n2755 6595\n1416 10319\n5867 8202\n2146 8492\n4407 9634\n7501 11158\n330 1214\n10783 11143\n3351 7602\n7641 9874\n741 11732\n5418 8485\n7984 11134\n1520 7032\n1226 2084\n328 5008\n4180 5896\n1788 5305\n6817 9299\n3970 9193\n3222 4597\n9304 9409\n6144 7195\n980 9423\n4706 5211\n2321 3826\n4821 7443\n5223 7988\n6417 11714\n5097 11511\n4018 8524\n1011 7494\n4184 10888\n6852 12117\n7198 7318\n2935 3752\n6741 10690\n2407 2853\n3939 11829\n3713 6680\n1413 4496\n5791 9516\n8166 11253\n2222 2229\n4800 6103\n5240 8537\n4474 7354\n930 2429\n2227 9742\n6196 8401\n1080 4961\n9206 9408\n4356 11473\n3799 5379\n258 318\n3428 11287\n7231 7803\n6724 8468\n4045 5065\n4800 6443\n834 6604\n7332 10744\n2231 6147\n5128 9674\n3893 10390\n2200 5967\n3057 5583\n2076 9614\n4072 8580\n4211 7582\n7660 11703\n4662 9750\n1540 7181\n2469 4209\n5392 9821\n1337 5832\n1328 2619\n5467 6300\n5442 10333\n1547 6967\n3733 10912\n3051 4419\n970 11249\n819 5287\n7826 8987\n3556 4623\n7678 10272\n787 11079\n1511 2465\n2951 6291\n1761 5395\n2306 7879\n3779 10515\n3983 9520\n4086 4952\n1575 11941\n7225 8154\n1423 11304\n10334 11019\n5997 11412\n5532 5997\n7922 9567\n9919 10181\n380 8053\n2069 4535\n4260 9444\n6700 10543\n1893 12096\n3703 10822\n1730 7907\n4572 8365\n1343 11808\n1826 7870\n2114 7753\n4198 11212\n1265 9981\n4847 9207\n10849 10878\n3707 4854\n6224 10307\n2768 12190\n8082 11529\n5692 11456\n2403 9745\n3416 5751\n6162 7930\n1228 1708\n8283 9508\n2785 4764\n9217 12140\n1893 6621\n310 4298\n936 10199\n6257 8927\n1597 1973\n231 11564\n7498 8816\n4546 8527\n7802 8499\n2697 11438\n11577 12193\n69 6298\n5293 9508\n2607 4241\n2114 10676\n119 8525\n4634 11620\n6238 10300\n2979 10839\n2792 6662\n1922 10511\n7161 9393\n1095 12172\n3208 5722\n2964 9007\n821 8729\n9995 12184\n2418 4378\n7946 11431\n3328 11287\n3392 11619\n3080 8448\n3218 8189\n1953 5499\n8178 8550\n6555 10443\n10704 12070\n4089 4866\n2627 11352\n7320 9206\n3029 11277\n361 573\n9080 9875\n5607 11486\n4155 4745\n2266 9063\n4813 9247\n6536 11988\n2809 10859\n2829 9110\n2787 7957\n2361 8819\n1552 3951\n131 9895\n4850 6716\n745 7876\n2302 7064\n4067 10213\n9921 10741\n4480 10519\n4858 6158\n6114 10136\n928 11526\n7009 12033\n7134 9388\n6950 8055\n7619 8795\n11202 11406\n4763 10628\n4942 12099\n8514 9019\n2443 4460\n4360 7909\n756 7463\n2654 12000\n4786 9309\n503 7064\n2209 9572\n2968 6847\n1897 8075\n1232 9909\n278 4094\n10048 11569\n9395 9538\n2275 8579\n723 4598\n5605 10858\n7042 9050\n9164 11577\n3193 5454\n1805 3199\n2556 10367\n2046 3292\n537 11133\n1529 11482\n2766 9765\n6463 7539\n4767 9913\n3337 9562\n8175 11511\n519 5866\n5525 8767\n7735 10638\n6762 8318\n7390 8222\n716 9287\n6868 7570\n1066 6357\n1183 9721\n10000 10548\n1439 11768\n119 2642\n1409 10525\n6748 10440\n2219 10828\n1229 7006\n3552 5280\n5383 11266\n8632 9806\n3742 11619\n9016 12151\n3603 6932\n3131 11066\n2467 8570\n6297 7285\n10162 11364\n51 6013\n4225 7484\n833 3327\n5084 10241\n7831 11518\n565 11358\n4412 10923\n7840 11572\n2347 7062\n4559 6414\n1943 7011\n893 7198\n729 9641\n38 2568\n6945 7887\n3360 3808\n1515 2823\n10703 11098\n602 5426\n1070 6793\n9022 10464\n3375 5097\n4644 7804\n6707 7247\n7830 10025\n561 3408\n10376 12175\n7187 9364\n10784 12026\n4397 8922\n5097 5504\n2837 9221\n382 1879\n8199 11127\n3913 11438\n5180 8282\n6379 11565\n5794 6933\n2326 7024\n7728 10485\n3966 11449\n1423 11081\n4830 5103\n828 4876\n9371 9869\n2308 11127\n547 8994\n5844 11160\n2612 3174\n7841 11974\n160 960\n10272 11771\n6073 8262\n7150 8469\n4232 8625\n350 1693\n3114 6634\n4373 4399\n10571 11848\n340 11665\n3921 4060\n4569 10990\n3368 7288\n4216 5782\n2071 11598\n3551 10960\n3441 9372\n4267 4946\n7808 8664\n9906 10839\n4132 11390\n929 8404\n5727 9872\n1328 6478\n823 8460\n1546 11079\n1745 9670\n1915 7639\n3885 7302\n147 3327\n4446 6706\n6600 6897\n1273 3944\n4683 11304\n2581 7092\n752 7994\n2119 2772\n4308 9431\n1413 5934\n9666 10615\n7781 8889\n9719 11633\n984 6149\n3403 8102\n2920 9654\n6157 6309\n2620 6364\n2822 8931\n2539 8310\n5235 5780\n3418 5532\n2802 11231\n6230 9564\n5845 12099\n1237 7946\n9092 9802\n7619 8658\n732 1274\n5427 11650\n6868 9658\n8894 10688\n6035 10289\n4647 5264\n10290 11949\n1100 9824\n3919 10320\n6944 11041\n2814 9570\n69 1707\n4386 8428\n8601 9569\n4130 4982\n955 6389\n5073 7538\n3069 10419\n7578 10231\n5489 6094\n6004 8942\n5826 8498\n5559 7390\n4314 4777\n2422 6379\n4720 10959\n9880 11596\n4177 8917\n5015 10333\n440 9125\n9551 9947\n2082 6897\n1201 3764\n472 3104\n8538 9486\n4014 10673\n6117 7435\n1955 9317\n1696 10712\n7402 11900\n3375 4126\n4265 8191\n4161 9022\n3152 4247\n2099 8439\n2090 9418\n820 6977\n2982 3576\n9909 11880\n640 11180\n3267 7137\n1894 9886\n8725 9085\n2948 5764\n6493 8344\n3754 10018\n8945 9120\n2864 4799\n6113 10871\n7255 11145\n4831 7999\n10572 12023\n1147 3730\n7974 8164\n5324 7494\n668 3096\n2492 10210\n1897 6449\n4059 4303\n4362 7526\n9879 11790\n1807 6811\n652 1387\n7593 10471\n773 2846\n9597 9997\n3639 7980\n3474 5774\n3120 4023\n6928 9281\n3573 6794\n3288 3962\n8893 9489\n2549 7140\n168 10935\n2602 7329\n8311 8493\n1121 7073\n10250 10865\n6494 10481\n1298 3237\n4590 6600\n7121 11314\n5451 6523\n1550 3358\n185 1928\n10512 11845\n1883 9540\n1792 11388\n6347 6950\n585 854\n5597 9469\n7449 10751\n7577 9233\n1335 1879\n602 10084\n2102 9520\n358 2775\n5936 6686\n301 6475\n7513 10927\n3380 10921\n468 559\n2997 6515\n1140 3150\n2383 11258\n2959 11630\n312 5635\n1261 2891\n2608 7706\n4012 8089\n1433 11630\n4085 10897\n417 3026\n9507 10820\n9496 9976\n8140 9369\n5540 10582\n3695 7928\n5532 9077\n2630 9919\n4985 5195\n1088 1189\n5731 10573\n4872 11025\n2129 9850\n8747 10212\n8035 11377\n9332 9882\n9161 10920\n1313 10269\n6770 9814\n1788 4849\n1114 2523\n2761 10825\n8164 8695\n9274 10895\n8309 9664\n9276 11311\n8629 11687\n4664 8755\n7435 10273\n2345 2506\n7694 9350\n454 10309\n2805 8636\n9817 10324\n601 8406\n1809 10781\n1233 5816\n1216 4852\n3259 10136\n4052 7524\n3570 7146\n1498 2630\n5042 9443\n6025 7846\n3665 6436\n8068 11121\n1709 6373\n1674 3855\n4920 8632\n214 5245\n2871 3226\n8259 8684\n4908 6687\n4948 10176\n8227 9568\n4142 5714\n9199 10690\n4188 10614\n3857 4195\n3492 11255\n6295 9044\n1571 2867\n228 1752\n2067 6550\n9117 10682\n4832 6507\n4550 10571\n525 11555\n250 11253\n2678 10209\n2495 7256\n1974 3438\n7316 8459\n2397 11670\n1615 9055\n3294 11428\n600 4017\n1374 3435\n2072 9734\n8461 8622\n4621 8102\n8601 9563\n8091 11152\n6962 10959\n2574 6211\n8574 10381\n704 1629\n1386 10884\n7416 10054\n126 4750\n4011 5338\n2391 7767\n2075 6954\n849 6049\n4811 6717\n11517 11676\n2400 3477\n2277 6443\n7009 7339\n7010 7665\n1329 10555\n903 7664\n6598 6986\n6870 7439\n7233 8826\n7377 8532\n2101 5619\n1490 10581\n5609 12149\n4920 8494\n1998 9656\n3114 6051\n9639 9673\n959 4853\n8437 9622\n4929 4962\n414 11303\n2037 6627\n10295 10652\n8035 11523\n5396 8535\n2406 3618\n5142 10137\n3503 6435\n7007 8119\n860 11984\n2273 11572\n609 11062\n6833 11757\n4438 10559\n1005 5283\n8971 11126\n1241 9148\n8756 10324\n4461 5962\n2555 10046\n2409 7383\n2754 3096\n8534 11378\n340 8342\n7111 8570\n7961 10134\n1648 7765\n813 1224\n3941 11068\n1010 10346\n7206 11980\n8444 9071\n253 6591\n3574 5689\n68 2020\n5153 8734\n4379 8419\n1717 9266\n3482 5844\n7520 9571\n5294 10751\n214 6966\n3902 9071\n4509 6759\n10107 12054\n8866 10054\n6224 10593\n8629 10188\n2400 11835\n9032 10115\n4206 11686\n6114 10064\n2785 4787\n609 10429\n5375 10880\n3571 5656\n446 3777\n1821 7108\n2730 10706\n7899 10888\n205 3274\n8518 9440\n8963 10121\n4816 9089\n2021 7937\n2163 4750\n866 2132\n816 7227\n5068 7446\n2526 10040\n1144 12098\n770 3147\n482 8320\n4048 11055\n1982 8908\n4397 11923\n3350 4079\n3339 7962\n8 964\n555 6802\n4927 11618\n1168 1993\n5099 10714\n6066 8632\n1767 7629\n45 5288\n973 10947\n9359 11644\n8206 9918\n1533 5155\n5041 10371\n1274 5728\n3088 9029\n4355 9964\n8294 10154\n823 884\n9506 12092\n10710 12188\n8730 11921\n4160 5109\n726 10186\n5047 9654\n6547 10846\n1730 10169\n2724 4910\n4021 10438\n9184 10881\n506 2042\n4591 10926\n3051 4723\n3920 11515\n2220 2402\n5608 6938\n9265 11077\n7601 11306\n3731 3806\n5292 11869\n3701 8950\n10009 11379\n704 6080\n4317 6871\n6134 11197\n2466 10336\n4693 5220\n808 1503\n2641 4903\n3857 7443\n4782 10690\n111 10971\n601 4976\n4593 8945\n135 4599\n629 11569\n1286 8399\n6923 11146\n8390 9687\n257 4838\n8281 10887\n1651 2608\n5956 8164\n7598 11351\n5551 7680\n3022 5375\n8165 9389\n2556 4866\n5313 9178\n8858 12070\n3720 7630\n924 1996\n5951 10089\n1041 8505\n1822 9906\n1861 2311\n1078 3138\n7282 8632\n8752 11870\n158 4906\n4080 4179\n3281 3643\n357 9726\n7682 8954\n6890 11960\n4699 5047\n11460 11649\n7709 7894\n4826 11277\n6058 12160\n2398 3415\n789 7118\n292 4122\n1328 11030\n4973 10893\n6430 6923\n394 5593\n4385 5368\n5638 8992\n203 10779\n2754 5739\n1326 4736\n1235 5263\n4663 9736\n6159 9152\n9889 12087\n4402 6597\n4016 12071\n9432 10130\n9090 9357\n9169 11058\n768 6239\n24 11400\n5649 5967\n3967 8154\n958 3253\n1646 11817\n508 2089\n4539 8386\n6066 11485\n4773 5901\n4928 8430\n2756 9064\n3022 7605\n300 5970\n3733 7317\n5199 12123\n133 11729\n653 7405\n2273 11889\n792 7455\n7340 10731\n1677 4423\n3397 5506\n695 5020\n7978 8887\n3483 3898\n938 5483\n1916 4248\n4396 10515\n854 1330\n1194 4009\n6102 11351\n6033 7523\n4536 7429\n3726 5770\n67 3438\n836 7826\n7005 10932\n3641 12097\n236 4994\n5269 8285\n10674 11859\n2429 2582\n4523 9954\n4232 10147\n1682 2000\n1933 4499\n8534 8698\n235 8859\n1502 10597\n5520 5671\n2482 3740\n3372 11598\n560 4968\n4072 4736\n1853 4577\n725 11857\n3147 4774\n2479 9332\n851 6854\n1728 3642\n3514 8666\n4630 10218\n1891 6440\n4025 5202\n5040 9294\n9578 10889\n1929 3716\n8977 9405\n83 5576\n2381 10212\n191 5553\n9210 10010\n9895 11308\n1410 1781\n8930 10030\n88 824\n1920 6799\n7060 9277\n7178 9468\n9255 11421\n6471 10865\n8923 11928\n2966 3244\n274 8193\n1217 7346\n4765 11682\n772 2341\n2139 9084\n5747 5984\n4342 4431\n6146 6554\n8941 12101\n8123 9647\n7002 10067\n3092 3781\n1869 5781\n240 1346\n1853 7203\n1431 7621\n3629 4590\n4378 4538\n7761 10515\n5277 7226\n1168 10194\n7907 9032\n7493 8460\n3194 10295\n7395 11073\n6185 6669\n1311 8012\n4637 8565\n4532 5208\n8028 8745\n2038 6941\n2208 8483\n8032 10241\n2247 7191\n2199 7525\n5352 9992\n7387 9269\n6660 10194\n2724 11679\n263 2045\n3822 8781\n1882 7986\n1892 8723\n705 11918\n6376 8922\n7098 8298\n4502 9216\n4058 7998\n5291 8703\n1576 5648\n521 9398\n7272 10604\n7775 9393\n2536 9782\n4598 11961\n6144 10880\n3576 4253\n9325 11864\n5023 7027\n4308 4552\n2619 6786\n955 5899\n8721 9688\n6899 11781\n2777 5125\n9468 11103\n11 1612\n1116 2119\n4465 11861\n9845 11019\n1886 8053\n566 11800\n5247 7028\n4557 9881\n3656 11080\n2339 8119\n1784 6116\n2222 8636\n3768 4443\n8775 11895\n1825 6767\n2295 11538\n3106 12171\n977 6453\n2645 3384\n5854 5951\n3413 6972\n4559 11393\n2163 10882\n3337 6551\n674 10167\n3755 11532\n1068 3362\n880 1679\n1503 3204\n1162 12072\n3842 5835\n5317 11684\n3138 8389\n3720 5441\n3964 6600\n2549 3158\n3615 5223\n4923 5383\n3828 11728\n2980 3894\n630 3685\n764 2503\n7140 9571\n8192 9106\n7572 8231\n1206 5671\n4724 5259\n2575 10644\n2107 10164\n5853 6367\n3630 10606\n4133 6197\n1358 11425\n1390 7315\n8068 11420\n6961 10412\n1780 9066\n2826 7672\n3318 6482\n11222 11868\n1535 1548\n3178 5129\n6615 11072\n7219 7428\n5171 9339\n736 8175\n4810 11343\n5098 5250\n6553 11391\n980 5155\n3084 3535\n1032 3902\n1991 10728\n8514 10360\n928 5633\n2602 6301\n7421 11084\n8999 9862\n3391 4287\n2014 7691\n6339 7423\n2246 8350\n430 6281\n9372 9904\n7007 9755\n3213 5553\n3851 6649\n4494 5533\n9903 11907\n9829 11530\n142 1422\n5487 10568\n5931 7334\n5575 6969\n1624 3140\n7833 11649\n9570 11281\n2896 10103\n4914 8096\n79 2412\n2473 8189\n5887 7268\n2161 2829\n251 3027\n1810 11623\n2851 9509\n2388 5167\n8303 9013\n7729 11962\n4378 6909\n233 505\n2461 9730\n4424 5980\n2409 3756\n6704 7720\n1269 7384\n1035 2551\n1726 11502\n6460 8802\n6967 9927\n9303 9482\n6297 9224\n10450 11247\n5211 5307\n680 7149\n7298 9052\n445 11438\n11429 11768\n293 2765\n2509 7685\n10278 10648\n3660 9770\n4089 10102\n127 10917\n7827 10724\n2472 3753\n175 10843\n3455 6353\n8283 8698\n4625 7207\n2385 2657\n1180 8906\n4310 10849\n4153 4569\n6539 7631\n8408 10068\n1317 7103\n5470 9137\n2579 3738\n5805 5975\n7154 10981\n239 7563\n6224 6562\n8499 10037\n2958 11107\n2717 5571\n338 9738\n7042 9848\n4949 6385\n4735 10595\n3936 8217\n4115 9226\n1966 2443\n5026 7172\n8665 11236\n2328 4798\n1998 4099\n2380 11625\n4525 11272\n5955 7778\n2051 10427\n122 11909\n4178 11572\n1204 9350\n2197 3308\n11628 11688\n6748 9081\n6146 7549\n7124 8157\n5411 11466\n1077 4766\n5062 11807\n91 8281\n6709 7844\n8457 11924\n2395 8649\n1026 1386\n436 10575\n2574 2651\n2695 9263\n8253 9405\n1792 6583\n1676 2803\n4963 7755\n5960 7248\n8059 11937\n4028 4310\n11051 11878\n2993 10642\n4795 8229\n4130 10654\n5370 11927\n5678 12141\n4170 11565\n5813 10167\n2514 3829\n3846 4661\n6374 10680\n6513 10594\n902 2043\n6220 10061\n1097 1685\n4081 9360\n3591 6732\n598 6047\n8666 11964\n8142 10189\n5016 8562\n1273 4483\n9851 11128\n5882 9700\n3134 9328\n3817 12089\n5655 10612\n9690 10135\n1643 2686\n8824 11950\n2483 4115\n3115 9659\n1198 3212\n2499 7873\n4570 10852\n2884 9398\n4957 6997\n6484 9072\n1252 8143\n9315 10799\n6675 9811\n190 2323\n661 3900\n6169 10900\n3463 4943\n647 11152\n5350 5970\n2137 10869\n4843 5549\n4099 10036\n9907 12039\n5238 10907\n426 5048\n6200 9492\n10191 10445\n5954 7301\n4094 4848\n9751 12001\n4883 8917\n2241 7971\n1137 5783\n1348 6312\n9326 9754\n1042 2670\n3269 11828\n5284 10129\n1247 6640\n5529 11682\n2642 10862\n202 921\n6425 9957\n9406 10784\n381 2490\n2031 9477\n5241 8469\n2397 3228\n2612 7442\n2469 4758\n395 7862\n4408 10308\n348 8586\n4061 11083\n5647 10881\n4018 8964\n497 7693\n3003 8667\n6732 11157\n623 6182\n1373 1617\n535 8544\n1358 9656\n5474 6317\n5547 9416\n582 9831\n5845 8853\n4540 12188\n9706 11360\n37 5417\n4981 11717\n6940 11095\n5074 11709\n140 1487\n10306 11676\n1201 8984\n7255 10387\n434 4112\n127 10774\n1442 1561\n7439 12128\n9594 10024\n13 10993\n385 1917\n2186 10745\n1099 7689\n3567 6519\n802 12139\n6037 6905\n2724 5776\n6086 6685\n5080 8194\n4658 8638\n2162 11572\n5521 8532\n6650 8849\n367 6804\n9707 11244\n10254 11110\n1003 9007\n4933 9132\n11069 11131\n4282 9766\n4993 5300\n640 2889\n313 7615\n9693 12053\n3615 11186\n4546 11839\n1432 11977\n6291 6918\n2665 7813\n4055 5895\n6907 7877\n1607 8468\n2999 3145\n6706 9033\n423 3511\n523 2251\n6498 11372\n1356 1433\n10128 10485\n2709 6763\n2329 10546\n6146 7970\n1411 1893\n1475 4688\n2962 8829\n5424 5956\n1176 3055\n6473 11152\n67 2882\n995 6498\n6899 12155\n5022 9075\n6957 9697\n8760 11533\n4847 8586\n1548 11671\n1997 8674\n3279 9257\n3785 10359\n236 6394\n1398 7892\n6473 7927\n3253 9646\n3482 4783\n2401 4302\n638 8764\n3680 8128\n3489 7863\n6717 10926\n504 9425\n7055 11063\n1340 7247\n2135 10505\n1670 4990\n209 1069\n1006 10836\n7577 8524\n4426 5427\n3575 5715\n1555 9780\n9982 10731\n778 3327\n2072 5427\n1292 6695\n1 11734\n518 10597\n8643 8723\n9346 10380\n1823 4620\n2970 8491\n3917 4336\n4929 7439\n5140 11991\n4693 10184\n1318 3631\n5069 11995\n309 8361\n1467 8548\n15 8895\n766 4022\n2356 3109\n5614 10873\n6746 10088\n1478 9660\n3917 4015\n1790 8848\n1123 4582\n11257 11502\n3452 10730\n4418 11105\n8007 11629\n7583 11471\n2251 8113\n9063 11728\n1632 7714\n2886 2977\n1043 2728\n7176 8812\n3488 6615\n1011 2793\n6848 10314\n1038 4369\n10108 10878\n571 908\n1695 10294\n2775 3780\n2227 8070\n3559 5334\n729 10413\n3471 8986\n3882 11034\n6679 8442\n11036 12042\n170 12013\n679 5103\n1273 3134\n4616 7240\n1449 3759\n6622 7283\n3456 9328\n2262 8589\n6593 7991\n8161 11774\n6840 7836\n1410 9093\n3291 10775\n638 7262\n9088 9230\n1365 11216\n3827 11297\n3238 6850\n3340 7604\n583 10313\n3072 10351\n6535 11541\n5582 10476\n6732 9506\n3990 4911\n770 9839\n7196 8980\n7871 10826\n4092 9048\n8335 11821\n2423 5301\n10608 11142\n1088 4397\n2022 8178\n3231 4619\n6329 11177\n1914 6458\n2701 3578\n6044 7727\n10699 11033\n104 5631\n11086 11487\n8110 8226\n5897 10635\n1160 11412\n8209 9723\n5135 8114\n3708 4959\n1598 9009\n996 4044\n9055 9648\n714 10989\n3385 10789\n6584 12075\n867 4355\n6292 10879\n1383 4913\n7383 11491\n4167 9909\n1340 7808\n3041 9126\n2605 8929\n5881 7843\n3007 8935\n8766 11484\n2326 7124\n901 2677\n10921 11324\n3907 4766\n5755 6224\n4483 11113\n6587 9223\n3337 8101\n5090 11328\n409 5957\n1977 8447\n7893 10082\n5581 6703\n9594 9682\n10095 10951\n2407 8942\n166 11677\n160 384\n4446 5148\n1552 11929\n4671 7635\n498 3577\n1293 5353\n654 5121\n708 2863\n1569 2814\n2852 9798\n1847 9078\n8925 10670\n3300 4599\n3677 10689\n1956 8401\n889 12062\n10783 11065\n8272 9642\n3593 10485\n828 11552\n5686 5774\n2264 8222\n6076 10637\n100 3393\n7370 11737\n4477 10046\n6924 10055\n6602 9362\n8860 10285\n1886 5044\n7197 9138\n4671 9468\n5821 10709\n3827 11156\n3463 8150\n635 10138\n6991 11398\n4385 7035\n1138 3125\n4715 5560\n2051 6798\n4571 11954\n2601 11265\n7673 8759\n2844 9230\n6497 11946\n6360 9042\n3928 7598\n834 7813\n5962 10164\n3644 11376\n10669 10842\n9056 9964\n2985 6582\n7368 10969\n8270 11797\n7013 9397\n8670 11865\n2153 2542\n5700 10099\n2120 4973\n640 11983\n5608 9746\n1328 1994\n9748 10239\n7684 11946\n4663 6515\n3016 5587\n6360 11123\n11759 11984\n4233 10084\n4293 7546\n4348 6877\n3403 5583\n3991 6186\n2011 5491\n2332 9377\n1570 2941\n5058 5060\n5693 11452\n3301 9546\n5365 5534\n278 11960\n326 2870\n5964 7689\n608 11098\n7999 11697\n920 8254\n696 8211\n2871 6699\n1672 2788\n92 9054\n2166 12185\n3771 10143\n5395 6321\n10697 11056\n4625 7619\n11408 11666\n3221 11043\n4357 11304\n279 8003\n625 10546\n195 11421\n8661 11528\n2847 10700\n5106 10213\n2973 9035\n4813 5495\n2450 7981\n7668 8585\n7857 11380\n2477 2485\n4985 9722\n1253 8055\n1122 8715\n48 2629\n2112 7031\n3447 8495\n4943 6902\n2862 5313\n2611 4950\n9847 12027\n4280 4668\n2065 2941\n11144 11828\n3020 4806\n8578 8759\n31 1781\n9759 10551\n2 3613\n7310 10289\n6562 10779\n3107 7182\n4584 4655\n978 1088\n600 3539\n8488 9224\n2110 9555\n5321 10351\n811 4761\n4978 9895\n3488 4087\n994 10260\n3827 4684\n9880 12099\n1373 3846\n7117 11696\n5659 11627\n5065 8005\n1625 8187\n5130 7672\n4067 5140\n4489 6205\n789 6496\n3181 4513\n2144 12061\n7330 7704\n3751 11964\n2385 9616\n3387 11175\n4468 7016\n459 2693\n7437 10025\n6439 6941\n8621 11377\n9445 11643\n6964 9584\n7455 7652\n2548 11656\n5258 12080\n1926 5473\n1288 8385\n7573 10489\n460 1204\n2406 3513\n871 11257\n5077 9294\n2334 4483\n2121 5508\n1651 10251\n2032 2267\n2574 7464\n4403 10341\n706 8998\n4693 12047\n2225 6061\n1568 11555\n2073 8918\n5235 11860\n6332 9691\n2526 7164\n1592 5688\n1176 4027\n5604 7899\n3910 10724\n3008 5485\n10194 12072\n7349 12058\n5991 6443\n3466 6760\n7564 8337\n1113 7425\n1036 9865\n4599 5844\n772 8554\n1921 3601\n536 787\n748 7439\n4332 4789\n6584 9638\n4130 11062\n4864 7936\n5507 6405\n3766 9545\n1134 8533\n3008 9827\n588 3507\n8553 11186\n5824 8345\n4360 11092\n3939 6534\n3922 4482\n811 2096\n6707 10285\n2772 10225\n7490 11089\n7618 10251\n1362 4878\n2974 8808\n8361 9207\n2400 8663\n5840 11584\n663 5002\n4010 4206\n3898 5693\n387 571\n6936 10374\n501 6216\n8095 11271\n11262 12165\n7008 9127\n8227 9601\n2231 3911\n358 11206\n1089 9897\n8712 11002\n6867 9188\n2822 8163\n7789 9331\n6264 8773\n180 9568\n9951 11225\n8431 9360\n2035 8532\n2832 9894\n467 6228\n4239 5909\n8124 9461\n1571 8834\n6583 7312\n2861 5820\n5494 10405\n1423 1983\n5313 11036\n2174 3717\n3299 4703\n720 1698\n5612 10891\n10634 11152\n9498 11549\n7152 8341\n4628 7548\n4504 6292\n7316 10696\n7288 9208\n491 8822\n2961 11720\n5699 7563\n10750 11528\n7846 9468\n307 5732\n721 7433\n1548 2139\n2680 4517\n3991 4201\n5949 11208\n5780 7330\n225 11684\n4987 8537\n1866 9594\n2696 2942\n1713 4607\n168 3650\n858 4704\n3144 5026\n1487 1892\n4478 8284\n1587 9630\n10077 11752\n4821 12075\n3742 11004\n5606 6656\n4322 10299\n4423 5542\n3797 4344\n4463 10356\n10573 11875\n3314 11829\n2381 2969\n9105 11269\n3472 4374\n520 1224\n5636 6375\n1365 3360\n3167 11441\n173 9360\n698 8270\n4803 9118\n8926 9032\n6333 10586\n9692 11144\n3420 10901\n1570 5478\n6241 10681\n195 9781\n6280 9131\n5361 6158\n225 2565\n5525 8682\n8509 12011\n2336 8585\n2651 9014\n191 10584\n4890 8242\n4460 10080\n9465 11669\n4938 10999\n2003 10436\n5102 10257\n8542 11496\n872 11680\n1286 9247\n7166 9436\n225 1080\n8136 11073\n8759 10733\n2778 5916\n4238 8130\n7210 8839\n3759 11801\n92 9156\n1608 7908\n2780 5007\n6508 7423\n294 5362\n13 10025\n4312 7068\n1502 8565\n9296 9896\n3328 5339\n1015 9405\n441 6682\n5448 9913\n3124 11867\n8871 10151\n5529 8123\n2071 5822\n4244 7265\n682 2884\n236 11586\n1698 8280\n7355 9324\n834 10326\n944 10152\n1426 7768\n1197 9166\n570 6527\n7039 7785\n5713 5905\n315 9472\n1560 12059\n276 3942\n293 10269\n6949 8763\n1421 9734\n835 7177\n4268 5664\n715 3639\n5205 5251\n5037 7568\n1492 11265\n3960 4110\n1384 9165\n2359 8036\n2655 5821\n2853 7213\n1923 3119\n120 3600\n6480 8600\n3217 9441\n5388 6875\n4570 7069\n162 6148\n5638 7188\n1484 6397\n6141 7421\n8736 10394\n8135 10432\n614 11380\n463 8566\n1828 9126\n3202 7860\n65 4166\n2901 10475\n2006 4663\n9917 11850\n693 11310\n6006 10598\n5950 9384\n5909 7930\n5941 9727\n996 11202\n8232 9110\n9951 11749\n4260 9912\n800 2237\n1257 1681\n4744 8232\n5069 10263\n3643 9532\n9955 10598\n1240 6968\n1861 7930\n5064 10274\n9139 10372\n2313 8486\n10368 11651\n8132 12082\n9908 10081\n2089 4033\n4263 11556\n6262 9872\n4841 7844\n206 4493\n2117 4006\n6435 7701\n6736 10237\n1503 5991\n3611 11956\n3378 11984\n1360 3010\n3780 11173\n7513 8947\n6839 7718\n6725 10918\n6773 9446\n7544 11288\n4778 9478\n7504 7866\n1985 9072\n7179 8336\n1315 10855\n8072 11174\n920 1034\n1946 4037\n180 3272\n7908 8713\n447 5498\n19 1575\n8718 11218\n49 7307\n3380 3989\n1679 3850\n9467 9626\n8360 10261\n908 4816\n3866 12055\n10873 11140\n2781 8375\n1911 6827\n972 2183\n2919 4179\n2515 10831\n4454 4765\n1338 3521\n6475 9809\n1800 3449\n864 6385\n6764 8634\n4136 9371\n2117 9870\n1562 3544\n5705 9328\n7652 11427\n1343 5019\n6381 9812\n2606 8052\n4509 5736\n1059 10619\n658 4621\n6094 12055\n3462 3745\n9358 9466\n7531 9362\n4726 5767\n1786 4321\n3109 4432\n4100 5509\n5232 8599\n4959 5814\n3518 9455\n735 3751\n26 10735\n6841 10422\n1979 5512\n6780 9686\n1024 9882\n8565 10254\n8970 9473\n1457 11050\n537 12017\n519 8438\n3681 8318\n10455 11015\n4916 6503\n5656 9455\n9293 11373\n1866 9745\n5212 6081\n2181 3043\n8519 11983\n25 706\n1757 4136\n6965 8482\n1692 1948\n7497 10214\n2403 7087\n4667 12011\n9059 11546\n8920 11309\n2375 8584\n3112 9956\n367 1079\n3312 7075\n3577 4972\n711 9197\n1236 1853\n1115 2052\n5040 7569\n6229 10238\n5176 10574\n3511 4562\n4468 6971\n261 4380\n705 10013\n4681 7334\n791 8632\n6608 9636\n2006 4165\n5357 10200\n363 5785\n1177 1894\n2172 10282\n1521 10564\n7152 10747\n4791 10262\n2280 5895\n8752 9968\n4135 8011\n74 9575\n3520 3733\n8035 9991\n1822 5008\n924 5602\n534 10120\n4236 11780\n7154 9042\n4351 7500\n3883 9335\n2874 4380\n201 8924\n1060 10015\n7873 11245\n4992 7856\n2254 9637\n6024 11080\n844 11306\n3477 11214\n8944 11195\n3970 10658\n1401 1451\n3808 5695\n7601 7935\n1845 9503\n2333 5777\n658 2282\n5763 7155\n3565 5813\n2620 4264\n1636 1792\n2746 3610\n3766 10210\n7685 8419\n2009 7759\n2710 6721\n4364 4490\n4300 6604\n1629 2300\n3393 6712\n314 3824\n2490 4249\n572 10831\n6310 11017\n1051 2447\n1409 8448\n4770 7076\n589 12050\n7827 10821\n1977 5291\n7757 9624\n716 4635\n1136 8333\n5363 6788\n2887 8862\n11246 11522\n1626 4419\n339 6011\n6922 9281\n2678 5072\n4083 7920\n9187 10444\n714 2778\n3935 11758\n3984 4938\n2219 9035\n8426 10806\n1615 3280\n974 8753\n4161 11883\n5550 5731\n2356 6544\n6967 9322\n440 2866\n9251 10202\n1997 10592\n10312 11677\n1882 5384\n1480 1500\n6722 8314\n813 10767\n425 5395\n2166 4067\n3922 8107\n4638 6756\n426 2434\n7979 8335\n7181 10214\n3639 6584\n3727 3916\n5827 5903\n3842 9782\n565 3945\n800 2698\n6351 8458\n124 11632\n3140 3835\n6352 7308\n3868 6996\n735 9696\n3411 5083\n4213 7105\n9678 12155\n3334 9810\n4067 11947\n3085 9962\n200 8226\n6192 12077\n6088 11347\n3399 10093\n7609 9133\n8944 9519\n10151 12154\n541 5103\n4945 9870\n2504 11816\n4683 9669\n2075 11325\n677 11290\n10831 10924\n3323 4743\n633 1093\n2355 2448\n3447 10224\n994 4095\n2536 3946\n2049 9689\n5507 9304\n3542 8158\n1854 11477\n1063 10957\n8025 8859\n6649 6808\n1407 7245\n205 5252\n106 8132\n1152 6559\n633 11733\n6105 7195\n9784 11787\n8775 10162\n359 5423\n282 2495\n3238 10565\n144 8923\n1819 10246\n7044 7896\n4239 4307\n107 8350\n2336 2540\n1819 6700\n2365 6372\n1780 9517\n9368 11315\n2671 4381\n5701 10551\n968 5299\n731 6346\n4404 8272\n5549 9554\n7199 10758\n3445 8996\n8203 12177\n3193 4964\n7808 9832\n4305 9366\n3439 9157\n2972 4403\n7813 9607\n2878 9349\n10782 11274\n2600 9764\n867 6423\n8071 11244\n8630 10628\n5083 7822\n1698 2205\n6307 10972\n6806 8285\n3097 7787\n2556 9237\n1561 12034\n4561 9398\n1028 12076\n3482 12158\n103 2973\n6368 7567\n11164 11873\n1657 6598\n1250 4749\n3919 12112\n5253 7737\n4863 10962\n7206 9042\n2848 8315\n273 9771\n5051 6990\n7097 8483\n4875 9972\n6406 6622\n3217 9269\n1930 10917\n10286 11852\n8477 8583\n5415 9306\n1443 3697\n9147 11456\n4957 10023\n8957 9373\n1842 9177\n5568 9661\n4862 7884\n2888 5677\n2415 5010\n2742 7155\n3876 6433\n4257 8512\n3755 10661\n1708 4135\n8207 8962\n5581 6578\n1822 9005\n2372 3708\n4054 11310\n6463 10325\n2815 10955\n7234 11434\n2550 9729\n944 10989\n8255 10066\n3150 5900\n2003 4893\n2648 8915\n9141 11963\n4292 11392\n2949 8810\n978 1046\n7304 11099\n526 3249\n10638 11088\n7397 7414\n7935 11429\n5693 9231\n642 7321\n3347 10389\n4633 8793\n2668 8177\n7205 10384\n7195 7247\n3807 5373\n2501 9618\n3731 12108\n9372 11046\n11 9432\n4743 10291\n10127 11073\n484 5205\n2470 3587\n4260 8166\n101 10868\n7349 11739\n843 2918\n8670 9157\n7057 10947\n853 10214\n88 95\n431 3764\n205 8964\n7036 7979\n11396 12050\n2447 2530\n4267 6939\n3065 9432\n3800 4480\n5743 10300\n4905 11637\n3199 10484\n956 1442\n4282 5661\n3326 5332\n1999 8067\n211 7516\n339 11273\n6389 6653\n2838 6493\n11068 12022\n962 3985\n7440 11992\n179 10006\n11484 12099\n4518 10282\n5559 5687\n8758 10036\n3 1515\n1582 7998\n10326 11939\n5734 11676\n991 2806\n7597 9565\n3982 10689\n5425 10732\n15 7620\n2116 11241\n3197 8547\n1371 6645\n6615 9984\n600 4749\n2725 12055\n4866 5233\n4086 8613\n640 942\n3453 10354\n532 6646\n5258 5481\n78 3018\n853 6530\n8071 10499\n6818 12117\n6303 9570\n1023 11539\n1889 2562\n9000 10157\n6177 7809\n6272 11909\n1168 7767\n6630 10772\n2793 11003\n2188 5826\n1159 5487\n6629 10677\n1927 8893\n11634 11670\n875 9478\n5733 9272\n4897 11192\n435 1156\n2266 2554\n4957 11091\n6207 6397\n1395 8705\n5788 10623\n6036 6542\n7330 8592\n1704 2695\n2067 4145\n4500 4649\n1905 3826\n1806 3610\n3327 7407\n2654 10338\n944 9634\n7517 11691\n5630 10515\n6576 10787\n4824 10489\n5804 11977\n1462 7990\n612 3546\n3839 10237\n1504 5549\n2758 11285\n3190 6724\n681 1316\n2131 4823\n233 10614\n6595 10909\n7047 9387\n990 5231\n6892 7532\n8652 10438\n2088 10961\n510 9437\n3959 6856\n9909 10108\n2421 6752\n389 12123\n1045 4787\n4967 10441\n10529 10548\n2233 7027\n4714 6134\n5159 9247\n1073 3741\n1255 8044\n1348 9318\n7789 11183\n754 10799\n754 6992\n9853 10051\n2657 6093\n6276 8992\n2697 3088\n1570 7291\n988 2223\n1638 2816\n4591 6533\n649 11718\n8150 9566\n1986 7515\n4447 5722\n5703 10526\n3860 8389\n9050 9578\n203 4439\n4199 10788\n1951 5439\n2610 11962\n6584 10402\n8118 10673\n9976 11309\n9166 10292\n4682 8251\n4228 10272\n3088 11797\n4984 11274\n1797 5207\n2663 10164\n4507 11158\n2879 8656\n9130 9740\n1181 5250\n360 2826\n2762 3818\n460 5727\n9830 11421\n5309 7932\n4201 7719\n1672 8480\n914 6623\n8976 10031\n6392 9866\n2078 12160\n2386 11969\n2009 2052\n7293 9059\n2799 5903\n1898 5151\n1953 11423\n1048 10521\n487 4564\n5041 11358\n8283 10879\n9278 9429\n4077 11677\n5941 8040\n2843 9054\n2389 3359\n3545 10948\n2803 10892\n274 428\n3276 8904\n1750 12154\n3730 11809\n4727 6008\n10598 11736\n262 4871\n2989 3267\n8461 8657\n7577 7863\n7057 11447\n4170 11981\n4194 10264\n5952 6395\n555 6468\n2803 9668\n3377 4311\n8107 8512\n5127 9634\n6481 8719\n4382 5694\n10216 10808\n1144 9152\n2948 10774\n6840 8394\n5176 11725\n503 4472\n1328 11094\n6275 10751\n5140 10550\n8289 10497\n3692 7545\n1334 9802\n234 8799\n9032 9125\n341 1925\n467 3735\n7753 10746\n6453 10592\n3152 9135\n4464 7717\n1777 11827\n6628 8012\n2084 7320\n3959 7333\n5911 10959\n8512 9429\n7103 12108\n2374 11187\n2343 5463\n4213 5718\n4081 11336\n3838 6803\n1853 4620\n2943 11911\n196 5618\n1891 8295\n732 8098\n4342 10301\n6427 11587\n328 10040\n4082 4877\n2640 5885\n8490 10513\n1833 8131\n9908 11092\n2434 5781\n198 11160\n3406 10482\n1430 3234\n2919 5178\n1412 3982\n8966 9227\n1006 9754\n3099 7165\n6854 9297\n8152 9133\n1853 6627\n1388 8326\n1942 4803\n1617 10308\n3572 6372\n8892 11517\n642 5213\n9107 11061\n1548 10879\n3012 4541\n2529 11696\n747 8274\n3676 9678\n2622 6532\n10965 11329\n5156 5190\n698 5016\n1898 4705\n1225 10825\n4785 7524\n920 10543\n1364 3062\n710 10155\n8199 9204\n7496 9026\n1532 11699\n3684 9818\n7179 8318\n1887 10475\n7934 10043\n2221 11084\n3222 12124\n2437 5501\n4962 11260\n6572 10195\n2508 10825\n3382 5144\n3115 6746\n5526 6120\n5084 11958\n1315 12049\n826 9408\n1724 8559\n6743 9273\n6140 10178\n5615 8236\n2692 10559\n5392 11753\n5233 12177\n4968 7851\n4045 11270\n561 1038\n1290 4241\n332 9301\n5899 10277\n7834 9665\n806 3077\n9599 10534\n6790 11152\n9363 11606\n894 5218\n6293 8877\n7420 8833\n2156 2457\n1469 8180\n885 6222\n2302 2385\n612 664\n2773 2927\n2491 2762\n7548 10623\n1433 7873\n4811 5158\n3177 11954\n3198 9792\n1206 4271\n8869 10878\n3597 10434\n2502 11835\n82 11364\n7101 7140\n4590 6776\n7842 10575\n5326 8555\n5050 10293\n2388 5592\n663 10951\n9014 11611\n369 4129\n2433 6180\n8217 9076\n1401 4014\n7222 8696\n2293 9382\n1296 5456\n5640 11524\n1586 4222\n204 2756\n2739 3986\n7257 11565\n3511 5586\n7183 8802\n8874 11187\n11232 11594\n6726 9504\n8680 11176\n2026 5252\n226 1162\n1096 2757\n3138 11079\n4434 4584\n9249 9748\n4663 4967\n3830 5194\n2670 6062\n3849 5576\n2520 8146\n5135 8596\n1575 7549\n7381 10614\n1758 7911\n1868 6714\n8427 9458\n30 2997\n6151 7628\n2962 3303\n6354 11782\n1438 10155\n2396 6025\n198 3894\n4062 9178\n9729 10786\n8891 8952\n3789 8179\n825 2290\n4512 11600\n7503 11430\n4590 7234\n4804 9455\n7982 9528\n5865 8072\n6335 9806\n4071 8214\n1895 4088\n46 2826\n5073 10531\n607 6890\n3148 11879\n2992 4625\n2062 10198\n6262 6728\n2353 5791\n5381 11875\n9823 10916\n11 6084\n749 7082\n2711 11210\n767 1143\n170 7503\n739 11216\n8007 8464\n5351 5595\n2066 2617\n1991 3170\n712 7203\n3917 10212\n2960 11773\n4566 11283\n8876 11684\n4243 7425\n3868 5385\n8682 10077\n588 1267\n469 11461\n1949 8090\n681 10694\n1413 4543\n5626 8131\n1339 11779\n2643 5255\n4694 5716\n2375 10366\n681 11359\n6350 9391\n2330 8527\n6256 8327\n8412 10166\n5798 10543\n736 2702\n1007 7134\n1118 11030\n6713 8063\n982 10031\n1145 6865\n1792 11511\n4237 10633\n7969 10914\n11204 11824\n1945 4130\n1700 6262\n4970 8582\n10975 12195\n6872 8917\n7844 7947\n5784 6647\n315 5601\n7858 10780\n10295 10840\n7281 9728\n997 7175\n1785 8624\n137 7017\n5651 8631\n4612 5409\n775 1599\n768 12013\n661 12177\n9116 11776\n4851 8198\n10504 11191\n2007 8605\n2480 3352\n1096 10246\n4144 10019\n3748 6792\n1528 7747\n5208 7580\n2516 10906\n2168 4662\n6458 8133\n906 8406\n135 5229\n672 9160\n8772 9050\n3328 7162\n1127 2938\n669 6703\n1552 9341\n53 690\n9321 12015\n5322 6323\n6987 9160\n8442 10030\n914 9187\n10041 11193\n1591 7114\n4958 5820\n6015 8373\n6883 7151\n5294 8990\n10062 10329\n68 267\n898 11946\n4417 11813\n4764 11783\n3927 5869\n1197 5359\n6109 8602\n3756 4977\n9023 10777\n6277 8509\n4016 7521\n3262 7191\n6678 11548\n7857 8073\n3027 11055\n4128 8177\n2843 9806\n5485 7533\n2549 10013\n5093 11173\n8565 12164\n9239 10914\n8023 8834\n3589 7870\n4061 9259\n1485 10647\n477 3363\n561 868\n5124 8943\n209 7019\n300 11614\n6991 11345\n6345 7259\n4791 7038\n2756 8552\n4819 5323\n9188 11105\n46 8819\n1209 2796\n4612 9288\n1910 9802\n4559 9168\n3754 6086\n6729 10698\n2839 11975\n3084 12066\n5884 10727\n7003 8937\n1804 6304\n1046 9630\n5206 9781\n1498 10644\n8161 8999\n5940 10397\n2596 6836\n2525 10313\n5731 11218\n4880 6571\n7043 8573\n10518 11751\n2493 11922\n1776 10374\n1676 5147\n1704 7359\n4878 11302\n6748 8921\n1128 8683\n5219 10489\n4377 10707\n10859 11590\n1019 5170\n4771 7817\n219 4577\n8882 9268\n5176 5549\n8610 8955\n7272 11030\n569 6946\n6326 7541\n9076 10994\n5911 9427\n5623 7374\n785 7505\n171 8133\n687 4631\n2518 7216\n6520 7727\n1045 10076\n1149 3604\n3830 10784\n3921 9808\n1151 10454\n7241 10795\n3564 8094\n3082 7301\n6466 7300\n6379 10746\n5756 6111\n6348 6915\n294 4991\n622 10021\n3875 6949\n4309 11318\n546 4350\n1910 9067\n1304 7965\n5827 6973\n4290 10496\n2046 4171\n967 5514\n2222 3062\n4754 5773\n4820 4938\n3002 7427\n1829 7183\n2020 8400\n6498 6853\n10431 10784\n7655 8854\n163 11645\n484 11787\n6891 7573\n1753 9059\n3356 10249\n11335 12093\n2338 5503\n2654 6431\n5228 10703\n1461 10394\n5998 8661\n7667 11457\n83 10525\n2542 10690\n988 3843\n6737 10784\n6854 9175\n1713 8785\n261 11266\n10537 11856\n10309 10978\n2298 6193\n6653 7064\n1598 9905\n8112 11984\n6103 9610\n1406 2240\n4234 11907\n589 1068\n5058 5704\n8367 8486\n5420 11680\n2787 7946\n3770 9148\n2245 2326\n8614 9895\n7541 10197\n4079 10734\n4390 7531\n3660 8373\n324 7622\n4112 6196\n3004 9492\n6854 11188\n7775 8706\n5185 10009\n2135 3503\n6095 6564\n979 2749\n9795 11021\n2750 9676\n858 10236\n7375 7650\n7955 11007\n5602 11831\n1616 6957\n3299 5984\n2693 5296\n232 5183\n5479 11087\n3680 4771\n530 3867\n3833 7319\n6327 9252\n1513 2790\n3109 4969\n3582 12084\n3084 5423\n2267 6113\n4355 6022\n8214 12106\n3895 7508\n4671 9571\n4458 10229\n1584 5685\n39 4819\n1956 10789\n20 2383\n11059 11859\n1032 5846\n3620 8817\n1919 8341\n9867 10785\n934 5969\n5591 9262\n1018 9900\n822 7430\n4241 5023\n558 6602\n2241 8016\n1981 4234\n4415 7779\n4767 6788\n4898 12025\n1169 9888\n8467 11545\n926 9213\n7240 12102\n978 3014\n1310 7231\n10303 11985\n483 8767\n6925 10192\n9476 9983\n4698 10015\n9752 11145\n490 12150\n2817 6299\n5381 6001\n10793 11684\n3267 8992\n1878 2543\n4276 5960\n4358 10488\n1523 6853\n1978 6086\n2418 8244\n3668 7959\n3278 4644\n4253 8362\n240 4000\n103 6356\n2595 7379\n339 2447\n7424 7829\n2399 5765\n7059 9817\n10408 11819\n3458 11321\n6558 9867\n2182 4093\n8188 11386\n8638 10334\n859 10959\n5423 8005\n4809 11729\n1519 2438\n2759 7811\n5705 5913\n1068 4080\n491 5860\n1305 5609\n3858 8862\n925 1628\n1921 11827\n1356 11166\n975 8971\n5088 7051\n310 675\n761 5858\n4672 9531\n1466 4445\n5043 6280\n6515 8865\n727 11838\n3246 6747\n2075 8952\n722 10955\n2483 11681\n6115 8860\n7742 8081\n5091 7973\n5994 6737\n7643 8544\n1468 1509\n3157 7635\n4840 11184\n4037 10048\n3565 5525\n4677 10351\n1672 12097\n1112 8021\n4786 7033\n7458 7984\n2460 2540\n388 6346\n6856 8711\n1201 5174\n2887 6876\n4085 11704\n6408 11937\n4862 6675\n4411 10023\n1310 3838\n3144 9274\n521 9158\n5895 7493\n9131 11321\n194 6692\n7593 9770\n425 11041\n7275 7740\n8904 10755\n8795 11658\n5197 6565\n2334 7688\n5919 7161\n4754 10588\n888 4833\n595 7387\n85 8929\n3579 3878\n5498 6015\n8406 10211\n4458 8846\n1264 8023\n1164 11798\n1603 7288\n2079 7800\n7233 11402\n1518 5556\n3298 6859\n5656 9552\n2100 6263\n2512 4339\n3441 9430\n1807 10574\n6264 6712\n1589 2975\n3378 7230\n3149 9618\n4802 6915\n5498 6715\n21 9592\n5674 10534\n3742 7903\n3587 7702\n2046 6524\n1480 4368\n1315 11713\n2429 10323\n4692 9727\n7827 12047\n2894 6587\n2404 2837\n2895 9970\n1971 8264\n6313 7970\n11996 12023\n3749 6736\n10508 11337\n2535 3424\n8468 9137\n4323 6079\n967 8503\n3027 8310\n5649 8780\n7443 8064\n2649 4761\n7190 9522\n724 11282\n528 6750\n1718 3260\n667 4751\n3855 8705\n6108 10730\n359 4865\n602 5491\n2878 4174\n1180 6380\n3864 11236\n3418 8388\n2153 6331\n3831 10043\n900 5355\n5905 11705\n44 5992\n7533 9420\n9394 10967\n130 1722\n5190 10056\n6817 10976\n1925 2988\n1046 1782\n6632 10062\n4018 4697\n3457 3686\n1391 2082\n1643 8386\n3973 10912\n3763 10419\n534 10491\n3174 11804\n7995 8120\n6884 7035\n2234 11198\n2466 9119\n93 12147\n7322 11766\n3574 11349\n4136 11690\n2655 8854\n191 7204\n4102 4608\n4626 6208\n2656 5466\n4095 11611\n1822 2258\n373 7796\n5178 10102\n2096 2674\n1887 11673\n7342 7809\n7430 10470\n2308 12126\n7387 9705\n3222 10110\n90 168\n1018 1213\n2982 8067\n1524 11947\n7887 11187\n4402 10565\n454 6703\n8085 10012\n3363 6715\n6507 7460\n766 7162\n2932 10853\n3238 8550\n1167 3083\n2353 3388\n2349 10078\n9120 10064\n4633 10094\n926 1759\n7029 9699\n1116 5238\n2999 8449\n909 7557\n6229 8981\n1760 3189\n5586 11265\n5311 5470\n5526 11127\n3809 7710\n735 11363\n5118 10859\n3808 10548\n5429 8273\n396 2403\n911 9802\n8782 9968\n5462 8790\n4748 11041\n8729 10711\n4417 7574\n4010 5448\n4819 8538\n5501 6304\n2052 7767\n8137 10028\n10589 10616\n2999 7764\n4635 7854\n2918 5816\n2718 10659\n6923 12180\n1680 1839\n1910 2636\n1598 8349\n8382 12107\n6104 11511\n744 4496\n3528 4780\n97 1848\n5370 11426\n3705 3706\n8285 10291\n2204 10704\n3912 5163\n3527 10209\n9094 9472\n700 8020\n4325 7234\n6037 7275\n1723 2791\n285 6872\n3744 6239\n5688 6911\n871 5369\n1857 6152\n579 3114\n783 6060\n3519 10714\n2596 7833\n763 9923\n6517 7871\n10985 11956\n2031 2966\n4993 10864\n1231 9700\n2475 6264\n211 5846\n5756 10449\n5709 11296\n4844 9237\n2074 11764\n392 4926\n10536 12092\n11010 12138\n3019 10842\n3640 4512\n3717 8045\n101 547\n252 6169\n3005 8478\n2312 8495\n7124 7613\n6324 11161\n2521 2573\n73 2201\n9232 12150\n6637 6655\n105 5923\n9496 11940\n10351 12149\n3778 5303\n1766 2201\n925 4757\n1284 9301\n2116 5776\n2409 7417\n1749 9510\n3735 11651\n336 481\n3669 3787\n196 9260\n4174 12155\n8257 10448\n3457 5973\n2759 5872\n2658 10694\n11434 11732\n262 10803\n6494 9610\n3322 6804\n2103 10278\n159 11898\n8321 11030\n10013 10427\n4158 9226\n1509 8483\n2156 9687\n9619 11774\n859 7132\n6444 8770\n972 3211\n5645 7088\n7140 7814\n1634 7844\n1877 10254\n5583 8516\n7867 9607\n1516 4360\n4129 8631\n322 12071\n7957 11392\n3253 11765\n3241 6422\n10111 12169\n11260 12012\n326 8156\n5873 9597\n4044 6690\n2177 4355\n4032 9272\n2829 3457\n1853 7155\n2544 2961\n518 5152\n6109 9326\n2845 11140\n11297 11358\n8581 8908\n1771 5980\n4172 12135\n2145 10742\n5451 9068\n8171 10093\n1932 5156\n5865 5952\n4760 5531\n6095 10018\n8439 9453\n4404 4848\n4108 6198\n1371 4751\n3059 9721\n6141 7207\n9286 9512\n3464 7810\n341 1583\n5731 11262\n814 2334\n3607 11011\n711 5131\n7463 8558\n3668 6463\n5165 10120\n8091 11761\n4644 10076\n4810 5280\n3726 7499\n874 10493\n3812 12072\n5250 5560\n1065 1982\n2130 2591\n2543 7384\n897 5019\n10242 11469\n1946 4744\n434 11886\n2916 7383\n850 3793\n10116 10200\n1970 7542\n8116 9936\n5566 11069\n2519 10086\n9226 11876\n4259 8572\n5408 11407\n774 6446\n111 9053\n10345 10957\n8607 12006\n1207 5562\n5756 11860\n276 7224\n8000 10158\n3624 11616\n1648 2107\n454 8097\n5194 9027\n7058 9363\n3183 4555\n5022 8346\n4899 6610\n8938 10244\n5041 10453\n1931 8901\n7485 11931\n3471 8704\n3316 10066\n4071 7501\n7425 9886\n6388 7142\n8574 9706\n5451 7713\n6749 7526\n417 7702\n4674 5743\n2555 5621\n4202 5900\n5151 7410\n646 3355\n4276 9745\n4430 9234\n4805 5976\n2431 8361\n5093 11801\n3230 10985\n2758 10912\n669 5720\n4806 10043\n9280 11022\n3609 6193\n6673 8451\n8469 11879\n2505 4778\n5473 12029\n3374 4330\n6250 10178\n375 4884\n1501 1504\n1133 9821\n6197 9229\n5499 10663\n832 12172\n640 11425\n1738 6160\n4467 11868\n7478 9886\n5901 10347\n3685 11859\n5663 9583\n3195 11130\n3001 12001\n7555 10718\n464 1107\n6820 11321\n1503 4495\n5571 9026\n4935 5721\n4165 5669\n5007 9022\n4494 11279\n4225 11203\n3462 10078\n5971 6185\n4301 7226\n8200 11242\n10548 10628\n6363 9382\n6468 12105\n6840 9715\n3714 9879\n1473 7623\n6160 9400\n3538 7554\n1526 6122\n3854 4768\n2964 4273\n969 7787\n2694 11981\n1916 7861\n5858 8949\n6843 7861\n3060 8342\n8159 11106\n3346 5635\n3042 5451\n3506 10925\n1057 10448\n3444 7158\n454 10173\n854 955\n3075 7337\n2746 3937\n4786 5468\n1075 11419\n4759 10284\n3293 10487\n5634 7562\n1304 10644\n1117 3110\n3129 6652\n7246 11302\n4651 6037\n2070 2775\n3296 8967\n7487 11971\n2787 7013\n8984 11833\n1597 6774\n692 10030\n2344 12095\n8183 10565\n1097 7875\n2510 9557\n1676 4523\n4742 7727\n3371 3624\n976 4982\n3887 10835\n343 7325\n2984 3156\n3855 5718\n3319 3408\n7453 10364\n4076 5425\n1771 2636\n7021 11868\n3922 9153\n2315 12029\n4606 5199\n4807 7967\n5157 7516\n4246 7859\n743 2240\n5773 10837\n3484 9828\n4138 11464\n3315 6388\n5067 7307\n7051 10013\n6590 9525\n5604 6845\n1401 9453\n339 3975\n12 7952\n1947 5926\n8 4315\n533 7840\n8671 10601\n7582 7855\n2093 6302\n260 4333\n1385 10586\n6926 8628\n2691 3780\n3640 6625\n875 9776\n2239 11615\n2629 9177\n1012 11897\n5304 6484\n2405 11423\n8065 11516\n2310 8341\n2545 2738\n2020 12125\n7938 9301\n3395 11340\n6773 8770\n153 241\n8651 11010\n8874 9290\n2175 10980\n6164 6577\n6933 10947\n3510 8225\n479 2565\n4690 10033\n7061 11656\n816 6249\n811 7071\n4340 12026\n632 3022\n1061 4870\n1711 6738\n3673 8630\n3595 5560\n3498 6071\n1787 7701\n488 6592\n5806 10319\n8958 10740\n474 5717\n967 3566\n7219 8505\n5404 8444\n6072 9367\n3027 9502\n3991 11579\n5103 5161\n1113 1503\n1745 6219\n6290 6845\n5733 10176\n2910 9944\n4167 9333\n5843 10437\n1419 1795\n3936 7314\n3186 8901\n853 9859\n3196 4467\n4477 8160\n1327 7682\n6205 9603\n7417 10345\n928 3132\n4265 10820\n4796 8840\n4903 6441\n1629 3611\n4635 12189\n3140 11026\n847 7190\n932 8594\n2623 10742\n1592 4077\n96 309\n362 5872\n6040 10217\n1036 9272\n6457 8260\n4319 6868\n3543 7302\n1807 9749\n4411 10825\n9533 10166\n5168 9333\n6201 7981\n6622 9785\n9510 9922\n1418 12191\n2006 3186\n661 674\n4920 5389\n1977 7272\n7705 9694\n1809 11340\n1963 5356\n3840 6801\n6597 6930\n1173 6989\n4302 4422\n1533 11153\n1277 4746\n1959 8038\n6189 7769\n2028 4201\n2258 8874\n4089 4308\n4199 4294\n3598 11744\n5301 11122\n7691 10623\n7224 11144\n6435 8051\n1502 7873\n7203 8079\n8341 11137\n1271 3910\n4216 7903\n5449 9791\n4953 11277\n4680 5170\n5232 8228\n6341 8161\n747 1918\n1277 6560\n1964 3646\n7411 9723\n923 3987\n3212 3214\n4135 5182\n4034 4605\n2735 7496\n978 6060\n8127 11127\n2262 11035\n9835 10880\n4944 11995\n920 8275\n5556 11381\n2507 6574\n3721 5246\n2900 11043\n2943 11651\n2401 5280\n2842 10767\n4387 11994\n5806 12035\n9520 9994\n7682 9161\n4093 5298\n11704 11744\n8019 9040\n3992 7803\n9540 11652\n91 11825\n9267 9764\n7677 9606\n1008 6673\n1114 1193\n3555 7128\n7182 7898\n1662 12077\n7889 11743\n6851 10759\n5079 11612\n2654 10653\n6637 10696\n4826 5177\n4502 9386\n7847 8270\n4653 5431\n5980 11672\n4529 5197\n6358 11127\n4691 8236\n4321 8687\n987 6881\n7401 9100\n8328 10694\n7510 10185\n1823 2877\n9988 11717\n7422 8092\n10664 11170\n246 8140\n6893 9026\n171 9893\n4514 11372\n1132 9938\n4869 10452\n6550 7655\n685 11943\n9546 10486\n7001 11806\n5511 7449\n2168 9689\n3617 10789\n4382 8629\n6497 7307\n3005 7819\n972 7599\n6032 11254\n7794 11751\n1225 2917\n5252 7295\n321 9969\n4009 11391\n9836 10101\n172 4339\n1593 4144\n3799 8774\n4714 5340\n8131 11852\n1195 8901\n631 1836\n5319 6911\n4365 6146\n6353 7477\n1922 7798\n4101 7655\n4361 5427\n639 5206\n4276 11185\n974 9577\n281 10119\n993 11471\n90 6496\n1848 3184\n5340 9299\n5644 7105\n5266 10919\n9824 12189\n1755 11215\n1494 7509\n10543 11672\n1035 11766\n3185 4304\n8017 11525\n7213 9481\n7548 11841\n440 7199\n314 4774\n4316 8436\n3083 9594\n1115 6302\n3416 11791\n563 1239\n3422 9979\n676 8683\n1855 9251\n1211 11216\n2925 4763\n1671 8388\n365 8441\n5350 11850\n3483 11071\n7097 8502\n2066 10277\n557 7844\n5557 11675\n3985 12158\n552 4525\n8720 9175\n8065 8132\n3246 6875\n6467 9587\n651 8363\n5890 6753\n2477 12145\n11186 11528\n5694 9998\n594 7110\n3356 9179\n3667 5358\n7543 10157\n3466 5910\n2965 9063\n84 7126\n6082 11533\n144 7865\n2827 4452\n111 5997\n6393 8909\n2985 9231\n6089 8319\n74 9514\n1113 10611\n672 4760\n10138 10740\n2132 8580\n7184 10073\n2556 10205\n1652 4098\n1704 6031\n8640 11364\n720 10562\n3172 8158\n1584 6603\n395 5517\n1132 5630\n3712 8948\n130 1056\n11335 11655\n2942 3167\n7088 7267\n4192 11069\n2609 4730\n11893 11984\n2108 11089\n3221 9580\n2475 7269\n2161 4835\n183 8924\n3126 9460\n1537 11855\n9693 10173\n194 7272\n11950 12113\n2419 10002\n1559 10331\n5216 9292\n908 6488\n7483 10697\n8214 11712\n1006 7158\n4284 7052\n4558 7067\n2910 6746\n1160 9260\n583 8077\n4014 9910\n32 3967\n171 10838\n7582 9123\n10239 11282\n4359 4420\n9 11664\n7558 11680\n9794 9893\n6326 8731\n6074 7860\n44 9345\n4653 11845\n8714 11399\n6643 9170\n2143 11922\n421 2679\n213 11330\n2602 9804\n5371 6407\n4809 6227\n491 2732\n3369 7943\n5584 6215\n3919 10718\n1117 6404\n191 5256\n6235 7381\n3829 5729\n5269 10861\n875 2698\n3795 4404\n2446 3409\n6702 10048\n490 7621\n851 7306\n6410 9203\n1214 6608\n7782 8181\n5746 11663\n10338 11452\n3468 8237\n217 10602\n765 8137\n8414 10414\n3797 10293\n7690 7985\n7020 7956\n774 1740\n4389 8694\n3834 10258\n5044 7936\n1639 3449\n1375 1521\n5257 11324\n11526 11864\n6534 10609\n1413 5745\n7767 11954\n4696 5965\n4285 11798\n5517 11020\n3531 8502\n3225 5387\n4566 5908\n3263 10317\n1539 10824\n3583 8058\n6096 9776\n2003 2662\n8141 11407\n2462 5517\n5208 9480\n4444 4888\n4215 5207\n1799 7139\n8007 9332\n1923 11030\n1468 2318\n5253 8738\n974 1868\n2698 11889\n5848 12193\n6636 10327\n1339 4881\n7811 10001\n5741 11661\n526 3429\n9897 11741\n7880 8726\n6429 7662\n1967 9810\n2704 8863\n4491 5924\n4410 9889\n9017 11093\n2636 8052\n9082 9311\n10333 11228\n1070 5937\n3003 4264\n7043 11103\n2299 4181\n5966 8389\n9484 11616\n3760 4505\n8652 9149\n9922 11181\n1258 10494\n2570 8676\n3014 4168\n9925 11135\n7365 10766\n604 6166\n6670 9117\n5521 10142\n1659 11533\n389 5196\n7871 11168\n5325 8180\n4178 7775\n5311 7651\n3851 6770\n4458 11192\n1646 8952\n3104 7753\n1425 2806\n269 4763\n1352 11538\n2110 7177\n5315 10106\n195 8922\n9575 9824\n4260 8345\n5420 6720\n7862 9149\n8954 10331\n5987 8727\n8299 8435\n4610 11028\n3547 4003\n99 11813\n7689 10023\n7500 9536\n582 3114\n2569 11475\n9896 10975\n2390 10054\n6935 7388\n6552 7497\n2203 8944\n1053 7085\n412 10775\n2135 7321\n4537 4835\n926 2381\n3524 3974\n7511 9108\n3046 8309\n6934 10771\n3802 5768\n1769 6882\n254 5121\n8338 8557\n7757 7867\n5834 6189\n8361 8379\n2771 9222\n5455 8110\n2238 3556\n6586 7410\n4877 6755\n5684 9874\n398 4362\n5382 9618\n5860 7498\n4841 6070\n6736 8993\n6901 11509\n4405 11335\n2825 6324\n6541 9626\n5380 11667\n6915 10351\n1380 2716\n4060 5502\n3286 9268\n2882 9357\n867 6558\n1508 7951\n1516 9197\n10499 10615\n2010 8504\n3405 10959\n3370 12015\n8028 9466\n2345 4593\n1364 10911\n4808 11988\n851 11403\n5939 9094\n1434 11804\n8113 9715\n10 7494\n4664 9891\n3904 6747\n7412 9694\n1661 3479\n7982 9192\n1884 10500\n749 3671\n2603 8882\n4853 9944\n1080 9821\n1673 10104\n4982 5836\n195 9416\n2082 10433\n9169 11597\n8126 11997\n1254 10245\n10013 12120\n3475 7741\n1837 3772\n1927 7517\n796 5777\n174 10705\n2362 7986\n7627 10901\n1846 2991\n6677 10867\n8039 8334\n345 2509\n11753 11768\n4090 7502\n3445 11538\n3712 8957\n4644 10903\n3104 5144\n5900 10655\n6130 9665\n1955 10578\n4414 11396\n5881 9905\n231 4641\n3122 10251\n1222 6034\n981 11819\n400 5519\n376 5957\n157 6757\n3271 8266\n2455 5908\n7262 12145\n689 4738\n1153 11031\n2470 4569\n597 3921\n3990 11950\n1662 4339\n3230 6933\n3561 3593\n2244 2645\n742 6333\n1520 12062\n7348 8559\n2234 6839\n1232 9441\n1439 10384\n3843 5905\n4789 5604\n1017 2100\n3541 9275\n2020 9640\n578 5758\n3064 5964\n953 6451\n598 4841\n911 6773\n277 9631\n8571 10643\n3094 3811\n2563 9076\n3921 5091\n2504 4469\n3762 11019\n9021 10088\n2307 11329\n2010 2736\n1252 10335\n5439 6701\n9282 11614\n5174 9545\n1328 12152\n3841 8359\n7157 9502\n2251 10314\n5045 7104\n129 9780\n2279 9438\n3220 6212\n1149 7176\n3708 8034\n11203 11546\n7909 10326\n3365 3677\n3109 5710\n2126 2143\n369 10214\n2281 6272\n9359 10812\n380 11212\n928 9821\n8506 10616\n2864 4810\n5125 6568\n8492 12141\n263 6956\n157 3752\n139 5508\n658 12149\n10448 11820\n7613 9897\n6567 8276\n1159 9262\n266 1061\n2204 5745\n4916 12166\n2696 3422\n937 7032\n11000 11114\n4943 8491\n3773 4049\n929 3329\n8061 9365\n10261 11437\n1232 9728\n9434 11478\n1264 11767\n2230 9250\n2190 8008\n643 9639\n8099 8411\n3392 9216\n11651 11958\n477 5064\n5592 9791\n3511 6453\n3969 9268\n3562 6443\n1779 4589\n936 6102\n1725 11976\n3856 7501\n7339 9350\n4661 11939\n3821 12071\n1408 10836\n2285 10454\n7792 9949\n6817 8395\n5911 9939\n7298 10761\n6647 10828\n6943 11038\n1247 11574\n2462 10333\n1428 8287\n5929 11441\n206 3266\n9949 11867\n3367 3501\n996 9939\n2622 12145\n2027 7871\n4692 10392\n4251 9272\n6036 11100\n6437 10462\n2031 5015\n7086 9677\n6717 11221\n6809 10370\n8184 10361\n6837 7882\n5375 10412\n376 2859\n1966 11079\n9694 11317\n11099 11104\n2938 7951\n3863 10260\n520 659\n812 8440\n2561 6621\n72 8837\n9135 10506\n1696 7972\n5086 12163\n5600 10713\n9356 9396\n1765 2988\n73 6383\n6233 7295\n8930 10720\n5162 7101\n7453 10220\n874 9474\n3208 10683\n5636 11946\n1743 3283\n3831 7349\n4375 10955\n6401 6448\n4596 10040\n5358 10628\n4183 9889\n2829 8847\n4065 7959\n1960 7164\n10058 10889\n7036 11900\n6801 7614\n4225 10550\n7012 8374\n9549 10899\n4543 8637\n8956 9748\n4157 7692\n7809 8242\n3356 4591\n112 3268\n4066 4073\n4238 9483\n3683 5560\n4855 10070\n3164 12008\n1167 2840\n371 9936\n4464 6178\n7044 9974\n4390 5037\n6647 9455\n8892 10806\n7776 11954\n8417 11196\n3599 3907\n3141 8894\n4318 8440\n9712 11410\n2513 11398\n23 3708\n3697 9254\n10797 10959\n7151 10235\n6627 7732\n8210 11206\n2577 6663\n2585 12135\n5522 7812\n7971 11292\n4511 9674\n5601 9225\n7458 8591\n4529 5561\n3583 10117\n6954 10012\n4620 11232\n950 9148\n4102 6890\n1769 7884\n1836 4198\n5364 6997\n352 8136\n5193 10125\n4371 5447\n676 3132\n845 11125\n461 5298\n983 2330\n3652 9061\n2385 3834\n7658 8471\n6912 11532\n5977 11250\n6802 7200\n4152 5794\n2884 8175\n891 1110\n4427 11922\n1913 4592\n8493 12037\n592 11878\n7670 8682\n7633 9474\n5216 7198\n5675 11539\n6679 7162\n5764 9175\n6449 8791\n2921 11005\n316 11963\n2471 9492\n7514 10512\n8981 12124\n1981 2763\n3436 5657\n707 6759\n8818 11694\n1060 6678\n2182 7371\n1491 9656\n798 9925\n7298 8558\n1599 3912\n5324 10026\n2686 11408\n3708 7169\n8479 8783\n7955 9079\n7595 11503\n2066 8343\n4457 8654\n1329 4535\n1923 2367\n2011 8745\n1685 11563\n952 11031\n9294 11415\n5911 10736\n838 3002\n7593 10008\n9279 12137\n2248 7095\n2672 5791\n2933 7273\n6397 9668\n3361 4703\n2580 6589\n8976 11284\n131 7968\n3851 9476\n648 8691\n1041 4908\n1252 3297\n11373 11924\n441 6254\n2090 7641\n5354 7770\n5006 10196\n420 6562\n1191 9525\n1683 5021\n2282 11819\n1295 6617\n2754 10313\n400 11817\n1639 5591\n4310 8253\n2017 4384\n350 5768\n906 1815\n10743 11429\n7441 7501\n1271 9130\n1254 12107\n3707 9025\n5095 11332\n1974 8433\n4830 6496\n5523 7145\n5013 11063\n4360 4828\n3012 11155\n1304 9435\n5011 10003\n1127 4036\n4749 11393\n3365 4924\n1711 2541\n5063 8271\n6754 11071\n1675 10866\n1115 6346\n6614 7075\n3233 4076\n1588 2087\n204 5575\n603 8060\n8127 10894\n2245 8680\n2930 9216\n4753 7729\n1403 9330\n338 7330\n8164 10432\n4001 9342\n59 11324\n1748 6041\n1504 5932\n2978 5813\n376 1552\n956 3890\n4095 9124\n5088 8698\n6968 10973\n6647 8730\n2657 5947\n1873 5334\n3198 9195\n4828 8179\n5405 5899\n3087 4641\n5882 7412\n71 2255\n5037 6604\n2246 9774\n6815 11515\n2677 7541\n7266 7976\n1783 12194\n1606 11647\n2148 9668\n5238 11234\n600 4892\n3472 6451\n3226 10892\n6331 9025\n4035 9134\n6113 9286\n6384 8121\n1484 6568\n5524 9508\n4286 6706\n8490 11686\n2484 9196\n7011 7426\n1245 2924\n3525 6673\n1004 10315\n3477 7702\n3880 9310\n1439 7096\n2699 7759\n3437 7712\n7374 11223\n7605 10158\n4048 5293\n7458 9541\n5090 11206\n4480 10722\n2364 10931\n4858 6213\n1388 5624\n1411 4055\n7677 11633\n5255 8743\n6686 9404\n8434 11504\n7980 8111\n6889 8663\n2628 11747\n2736 4225\n3436 5397\n3421 3591\n5496 11358\n8001 11111\n2018 11483\n7391 8737\n1864 9028\n855 3803\n2990 5784\n2781 12081\n1344 5446\n1074 10722\n2090 5548\n1401 4581\n3155 6656\n1546 12096\n2309 3957\n2411 11764\n8383 10152\n6535 9272\n4857 7524\n868 8164\n7038 9375\n1816 2174\n6239 10711\n324 11904\n4151 9391\n4614 9534\n6256 8117\n7924 9918\n3657 8703\n788 2880\n5394 5858\n998 8107\n8244 8749\n1040 3688\n7289 11734\n822 9232\n2552 7750\n10477 11538\n4820 8023\n5135 7429\n2788 11900\n8981 10404\n6814 8272\n1692 2085\n1784 5264\n3846 9767\n4079 4960\n1944 7837\n348 7444\n528 2453\n6357 9840\n3751 11875\n7577 8218\n8497 11281\n1933 3291\n9147 11008\n5137 9663\n8085 9852\n1603 7384\n1591 3212\n9343 10567\n5578 11362\n929 4481\n6935 8404\n5406 7779\n1797 3489\n640 8097\n295 4750\n4030 10453\n10422 11881\n5477 8475\n2449 3495\n3427 7398\n8117 11725\n5030 10223\n6636 10591\n6588 8150\n680 6504\n8244 9413\n216 6941\n5071 7247\n1951 7688\n6835 9759\n4610 7349\n390 8963\n8103 8675\n5196 7485\n1646 8950\n6825 9464\n1305 3632\n3563 4163\n5585 7569\n1854 8698\n2546 6566\n1364 1687\n7687 11448\n7429 8648\n3292 4403\n206 11003\n3955 7755\n3739 10462\n1447 5635\n7098 10227\n8586 10910\n6002 11646\n9693 11435\n769 3321\n702 11769\n328 6845\n6930 11440\n2591 5560\n5989 6941\n3778 8233\n6165 7811\n948 9703\n1701 9733\n7702 8072\n1768 2968\n1472 8121\n1733 7274\n18 2499\n1513 1681\n3393 8725\n405 4904\n19 11718\n4187 4246\n3819 8764\n5973 9584\n1525 6325\n1175 1432\n457 12154\n3828 8711\n3632 7149\n1084 11116\n1808 10150\n519 2349\n3778 4266\n742 7284\n8943 10007\n2239 7447\n564 6372\n1249 2964\n4898 12160\n9875 10211\n7619 11748\n8600 11270\n5663 11988\n421 5191\n2424 7228\n2073 8736\n61 9523\n3556 6633\n1173 8607\n4753 7612\n1773 9023\n908 3192\n8736 9972\n9928 10844\n4364 5779\n6970 11951\n4183 9521\n4788 12133\n1249 5325\n276 4890\n843 12145\n230 763\n202 2207\n4250 7229\n11653 11877\n8142 11699\n3046 3416\n382 9093\n10237 12016\n651 10000\n4327 9951\n5459 8972\n4280 9605\n2315 10708\n5110 5413\n153 7339\n1472 9834\n3374 4143\n5939 11563\n2859 12074\n1689 8036\n2456 7629\n6364 11076\n333 10872\n1290 9672\n6166 11509\n2854 9078\n2468 11437\n2607 3931\n7521 8322\n1339 10273\n3394 8133\n6631 9992\n8815 9964\n2373 3900\n4875 10383\n77 172\n4606 9147\n6736 8155\n6494 7228\n1868 4111\n8114 9114\n9113 11775\n9314 9423\n5042 7996\n6746 11342\n6723 9647\n6969 8052\n971 1240\n1 1885\n1751 7515\n11247 12099\n4073 6240\n6033 11509\n5005 5715\n2671 12158\n8525 10116\n4329 6301\n4246 10091\n6282 6313\n1256 9586\n3258 6997\n8853 9958\n3672 6055\n352 9654\n2990 4468\n4135 6283\n471 7618\n7005 10656\n2833 10424\n44 10492\n3020 12139\n5373 9856\n2746 9166\n2978 11136\n11158 11482\n3759 10314\n9264 9315\n1489 2034\n47 9663\n3091 10720\n4704 4880\n1513 11065\n1608 7717\n126 1340\n10970 11406\n5653 12119\n656 1654\n3253 5682\n3318 4162\n355 9850\n1414 7445\n8341 11714\n4652 8893\n4084 8472\n5776 8555\n2248 3066\n2250 5665\n3139 4203\n1163 3147\n55 626\n10918 11182\n2692 5357\n5391 6432\n5506 6602\n1181 4582\n4846 5711\n3446 3747\n2798 11085\n2062 3158\n4829 8914\n2202 9106\n1953 10621\n10556 10831\n2759 9032\n5215 8304\n6973 7204\n10895 12077\n9307 11611\n4660 10689\n26 5048\n264 6454\n4853 5093\n3665 5432\n827 10135\n3175 5073\n10501 11074\n2822 3701\n204 11052\n241 11297\n7415 7963\n6224 6430\n941 4552\n509 1737\n9146 10543\n8852 10986\n7156 8885\n6240 11396\n403 2696\n2445 7722\n7352 12083\n2365 5185\n7266 11003\n7405 10778\n8189 10049\n1917 4813\n381 6319\n3328 4471\n918 5227\n900 5097\n4958 7642\n10538 11844\n6024 12084\n5947 8512\n3354 4091\n436 3279\n8038 11078\n8131 10903\n9104 11969\n2675 6464\n2683 5929\n753 3746\n1577 10204\n825 6049\n394 12195\n5719 6706\n4987 8872\n6358 7652\n1037 9957\n4545 5442\n5837 10843\n4094 8080\n10066 10536\n2958 8371\n4222 6605\n3228 11878\n674 4415\n2917 10688\n10605 11264\n126 7823\n6326 8565\n11106 12134\n402 5650\n4477 7556\n3269 8946\n8187 10421\n4089 8869\n7544 9824\n5777 9344\n2746 7047\n4404 10046\n3176 3885\n2103 11012\n1069 3975\n5058 5702\n5253 8877\n727 2459\n10868 11724\n379 11303\n2311 2726\n339 4467\n4000 10773\n10807 11745\n3443 7125\n2554 2667\n3339 4351\n4542 6152\n8619 11818\n1894 4212\n3284 5117\n6602 8168\n4993 6325\n7394 8943\n11811 12023\n3269 9955\n4405 5232\n8158 11525\n5604 8730\n4514 10375\n4937 11372\n19 8062\n11815 11842\n6159 9630\n2264 9717\n134 3816\n9050 11330\n635 3512\n735 5040\n623 3516\n153 7540\n5648 7659\n967 3631\n1568 5195\n474 3906\n5265 10025\n2026 9754\n2600 7878\n4737 8792\n1112 5331\n8280 9759\n1899 3323\n4644 9712\n2625 10799\n5853 6973\n1466 7337\n6088 6130\n1745 7715\n8497 9731\n1473 5131\n4723 6458\n4908 9779\n4601 10397\n1389 10614\n9497 9808\n2673 8783\n4089 10627\n582 6438\n3539 5462\n5809 8384\n2148 2312\n1296 3537\n525 9062\n3206 7691\n5660 8500\n3273 11297\n7840 10203\n847 3753\n961 4498\n3582 10639\n9926 11677\n9117 11917\n1225 7488\n5922 7562\n3186 6251\n1104 6697\n3227 7239\n1209 5837\n6898 7470\n7732 9292\n6089 6817\n102 11148\n727 7896\n11017 11466\n6530 8251\n3064 7727\n645 4722\n2514 3310\n3585 5604\n4827 8715\n5490 7707\n362 8158\n942 3319\n7214 11664\n6901 10326\n9476 11617\n7073 7924\n1655 4196\n414 8995\n3136 9689\n6348 8640\n4253 9288\n3764 9714\n6552 7445\n627 11789\n1674 3130\n1433 11307\n4805 11483\n2322 11518\n1685 10780\n5958 11934\n218 6267\n2626 10944\n342 9425\n5892 7699\n8321 11055\n2101 3741\n6127 11660\n657 10626\n647 4057\n10116 10137\n4906 7801\n3982 6363\n2359 6215\n4493 4551\n6434 11862\n5546 10835\n2388 5519\n3389 5156\n1986 3717\n4615 5093\n7527 8874\n2201 9257\n5425 5991\n228 11046\n1367 5795\n715 6509\n2686 9980\n437 8658\n1508 7301\n1807 10987\n6935 9906\n179 11347\n4337 8723\n175 9242\n8206 12096\n1654 5228\n394 2277\n4095 9649\n2738 3848\n7917 10627\n4513 11793\n491 6868\n8780 11487\n1149 9413\n4812 9891\n6014 6073\n5856 8630\n9763 11475\n10482 11644\n7995 8863\n6028 12138\n4552 11361\n715 1029\n1782 3227\n6867 7930\n927 950\n1446 8736\n3333 4548\n2762 5313\n3362 4530\n1661 3874\n4310 8686\n6826 8424\n7536 10662\n4096 10997\n251 672\n3480 5913\n6121 8568\n7792 10348\n8750 10658\n5486 11338\n556 10021\n4917 8166\n7357 8407\n2454 7532\n8765 11378\n2196 11221\n10717 10955\n3222 9169\n9943 9997\n6220 10853\n476 4668\n816 4033\n274 7163\n385 10150\n1381 2672\n1856 11080\n9661 11605\n5089 11569\n4273 10380\n2501 9777\n1324 10582\n7703 10555\n2005 9011\n6104 11373\n4491 9546\n2078 9217\n8368 8984\n6854 9684\n2055 7041\n2856 8731\n6187 6220\n8228 8260\n1017 3356\n3949 6484\n7255 9150\n495 7834\n4626 5246\n3535 6093\n7444 11486\n4821 11061\n982 4924\n1051 11706\n10889 10898\n3013 7201\n2820 8570\n2288 11604\n642 6296\n1820 5284\n6209 8059\n195 11974\n4326 11852\n3243 7670\n9330 12032\n2091 5686\n308 11742\n2957 12160\n975 3853\n1921 4757\n5502 8295\n2562 5573\n8938 9764\n4439 8892\n5513 8549\n712 2757\n6937 7044\n6192 9450\n1519 10389\n60 8876\n1730 5266\n1588 8823\n5290 5358\n7452 8643\n3756 6822\n2261 6315\n2011 8318\n2738 8163\n1187 4902\n2493 2907\n4747 8317\n6191 9895\n6988 9161\n6267 7782\n5748 10319\n806 6076\n7029 8670\n7415 10291\n2569 7240\n233 10995\n4692 6855\n438 4756\n2660 10455\n84 9069\n2487 3282\n3756 9511\n9389 11175\n1552 2985\n3 640\n1776 11637\n7159 8763\n2116 4178\n1739 8159\n4880 8005\n8643 11222\n4909 8306\n5728 5893\n9592 11604\n6817 7752\n959 3402\n1211 6470\n1565 10745\n6418 8080\n916 5812\n286 6104\n9643 10906\n2898 8998\n7465 7580\n1791 9290\n5683 9274\n7834 10506\n1292 11294\n8278 8528\n1234 11921\n5491 7938\n4697 7154\n6884 7382\n1089 3760\n8354 10859\n1060 5609\n5567 9342\n3964 5000\n862 6635\n4426 11517\n440 4745\n5759 12092\n6561 11954\n5858 11915\n28 6946\n2531 10513\n2795 5398\n1090 3586\n1438 2671\n6803 8772\n126 8821\n3528 8981\n3777 5726\n5985 9323\n3891 10178\n4415 5112\n6988 10452\n9227 11615\n5262 8243\n471 5893\n6348 9327\n8206 10068\n957 1780\n2996 8338\n7310 10032\n5071 12130\n3190 9505\n33 10993\n8962 11032\n1079 3913\n7984 9911\n7145 10245\n749 6836\n1150 1432\n8835 11084\n4694 10852\n1185 3240\n653 4966\n1403 5662\n4103 9945\n8421 11655\n2013 10675\n5114 8352\n520 9746\n1285 2807\n7655 11607\n2920 10551\n4027 12026\n1411 6115\n844 8868\n5450 6708\n5074 11726\n1304 6802\n2313 6597\n1117 6208\n4169 7349\n8213 8980\n2653 12185\n5152 7894\n3879 7505\n6511 7540\n5805 8680\n1980 11385\n11369 12126\n245 8223\n2239 9750\n5306 7171\n3166 10954\n4533 6297\n907 3474\n1094 6908\n116 8259\n6477 9209\n3324 3494\n7698 9242\n626 7031\n1988 5042\n4026 8395\n3510 9702\n5338 9087\n7753 11872\n6260 10028\n5180 11218\n9264 9595\n2131 9710\n2414 5991\n3115 8593\n780 6334\n8802 11019\n5069 5492\n209 11895\n7671 7700\n6529 10713\n2271 5633\n8205 8917\n1038 1572\n9834 11535\n3605 9139\n917 5915\n7714 8688\n9361 10739\n8431 9610\n9461 11457\n275 10764\n6621 10349\n2174 10160\n5164 5248\n3844 4864\n3813 8617\n1809 9542\n6449 9282\n2190 6755\n7339 9301\n6369 9361\n5081 9786\n3901 11460\n245 7646\n183 2626\n7587 11445\n1526 1884\n9720 12047\n2824 5678\n9700 10892\n8437 11271\n759 11289\n4437 7771\n5857 6371\n2315 4893\n4059 7062\n8550 12032\n651 4511\n7000 11677\n4657 8195\n4077 12026\n726 2177\n2498 8210\n4090 10757\n879 6716\n4876 10824\n881 4809\n6619 9575\n882 9123\n6 7657\n5915 6681\n6238 11544\n8334 11255\n3108 8689\n4255 8813\n662 6635\n1547 3128\n10737 10777\n33 9611\n5743 8210\n2102 4227\n3938 11949\n1469 9937\n7279 11897\n6473 10366\n6744 10391\n7480 8021\n6135 9511\n1545 5336\n2124 8465\n4192 12002\n4791 9100\n1994 3779\n4551 11597\n9024 11750\n411 5364\n5410 10337\n5611 10216\n6780 11863\n7249 11672\n8317 8592\n3473 7607\n9196 9428\n2414 5845\n422 4787\n7603 8273\n10903 11015\n1163 10386\n8139 9378\n5556 8907\n6356 12120\n8963 11692\n2454 6362\n7717 7975\n2979 9390\n2484 7747\n2796 9671\n7777 10013\n2803 10175\n1349 6092\n572 10769\n3716 6406\n1647 8125\n3937 11709\n7622 9885\n4156 7404\n375 6665\n1754 8521\n1760 6697\n179 997\n3697 6230\n2641 3927\n3771 11182\n2199 3453\n310 8906\n4606 6591\n740 10311\n4926 9482\n886 4881\n3953 9052\n1682 6700\n1400 2597\n4019 11762\n1419 2318\n12 1271\n2599 8334\n6811 9001\n3993 12079\n10008 11681\n1672 7473\n11380 12014\n7523 10428\n2935 6922\n3965 8766\n3900 4056\n4794 8749\n4741 4994\n2013 9786\n162 11173\n4306 12117\n829 2809\n7104 8344\n3815 11442\n3524 3554\n7215 9792\n759 9119\n1790 5699\n3270 5347\n5384 12065\n1428 2046\n3240 7605\n891 6193\n3206 8166\n1088 4965\n10078 11420\n7753 9448\n34 1507\n5796 5844\n5487 10324\n2944 6739\n4781 10549\n619 2750\n2803 7241\n5046 10546\n1370 4738\n7871 10619\n1082 5841\n5418 10247\n5133 7383\n4484 11641\n7527 9739\n9301 10577\n9353 11188\n3954 11446\n1904 5418\n2462 4547\n2868 3175\n6612 8616\n1864 7989\n8310 10613\n953 9506\n3652 9763\n9264 11950\n3726 8456\n691 12004\n2896 7052\n6039 11013\n20 4311\n2583 8319\n2969 5131\n2398 11258\n8959 11928\n4982 5083\n3514 5713\n6486 9916\n2218 11025\n6353 10972\n5261 6025\n874 4738\n5802 9507\n4873 6138\n4353 7634\n1045 5624\n8582 9411\n5337 11487\n8064 8831\n353 3301\n8315 9419\n4505 6929\n10229 11427\n289 5095\n4825 6093\n3277 6575\n2813 11881\n9160 11292\n1539 8484\n3670 7491\n5362 6594\n8478 11472\n2204 2561\n3573 9292\n5004 12158\n7496 11714\n4732 5552\n733 10346\n7777 10822\n6536 10745\n7558 9561\n3266 10728\n3936 6228\n6092 9561\n4573 11547\n4526 4806\n2663 10965\n3117 3769\n4150 11602\n1378 5918\n9175 11623\n1435 1912\n9770 11371\n8062 10935\n5400 5451\n6763 10749\n1577 10638\n11726 11753\n3239 4763\n6503 11155\n1194 2850\n5930 11160\n3602 8266\n9549 10913\n1289 9980\n2404 8375\n2543 9380\n332 9988\n2045 2543\n3083 7295\n5326 8580\n7154 8138\n7204 11633\n6910 9008\n6448 10164\n2265 12189\n9069 11931\n8355 11882\n368 8820\n3912 9180\n10046 10566\n2631 7943\n1496 7093\n4296 8090\n5273 11917\n6383 6516\n2858 6560\n3458 3618\n1228 2199\n1105 5015\n2774 7313\n9586 11248\n3033 5635\n9541 11296\n10847 11431\n9266 12189\n6687 12153\n3650 5200\n2440 11953\n5711 10800\n3448 12027\n539 6107\n1195 10724\n5886 12108\n6961 9891\n217 5662\n10839 10991\n8249 8568\n3276 9414\n7630 8686\n11300 11541\n2920 10436\n4008 6008\n7038 11185\n3638 9379\n10499 11203\n7479 8102\n3432 6659\n5994 8604\n2323 8845\n8884 11753\n1777 7896\n6392 7818\n6707 10375\n10038 11702\n3606 6123\n4176 10154\n6481 8241\n5598 6892\n10039 10953\n100 6012\n5555 6452\n2957 11710\n3744 7542\n1048 2754\n4590 8359\n5926 6989\n2207 4333\n745 761\n10095 10228\n1763 2113\n2221 2732\n2512 8592\n4653 8795\n511 7099\n4703 12132\n4089 9148\n750 6419\n1868 5559\n1120 6173\n7711 8276\n7642 8884\n1549 9046\n6625 11362\n8705 8864\n1604 10202\n2678 4405\n1616 5767\n4721 7381\n608 10435\n3351 6122\n3186 5927\n6430 7718\n5100 5186\n1329 6489\n11419 11900\n785 6231\n761 7504\n2152 8349\n3903 7338\n8751 11209\n1152 6311\n3793 9186\n1233 4409\n2559 10814\n40 10089\n372 5642\n9112 10373\n147 7973\n8111 11115\n8391 9542\n1583 12036\n3558 8258\n9300 11082\n2505 3151\n1426 4813\n1581 11651\n2842 7796\n1816 5520\n3199 4342\n3323 7028\n3888 7417\n6333 9365\n1138 5159\n5944 6796\n4128 6468\n6856 8016\n8063 9808\n10046 12177\n7932 8361\n4995 11045\n1413 7819\n7610 8466\n284 9514\n1660 2644\n6577 7850\n8300 10878\n4457 10194\n4157 8769\n1967 6580\n1000 11233\n9293 10745\n8199 8265\n5159 5427\n3986 9562\n3974 6362\n9897 11657\n4206 11749\n6042 8886\n10521 10712\n9712 11226\n368 4078\n4758 9012\n1586 10747\n264 7919\n5564 7329\n801 5896\n2550 6396\n6245 10174\n7076 9231\n2682 5034\n9262 11231\n6939 8850\n1091 7403\n8210 8850\n957 7990\n2086 3021\n5845 11597\n1898 10014\n1738 5055\n3178 6146\n59 8185\n3418 7817\n2058 4230\n4948 9396\n4710 9736\n3039 11433\n1590 4645\n4606 8356\n1972 6499\n1296 4161\n1665 3742\n6327 8107\n7007 8666\n6581 10642\n2767 6491\n2680 5305\n8059 11902\n2828 6313\n2065 5557\n5404 7537\n9654 9879\n3090 3653\n5071 10146\n3132 5120\n3689 9696\n1305 5812\n5191 10428\n5907 12103\n5299 11965\n7761 8944\n1937 8006\n5194 10364\n2445 10560\n680 8266\n535 9755\n7408 10729\n7282 9303\n1738 4403\n959 3616\n2916 7269\n11858 12069\n4707 7097\n3583 5838\n10177 10698\n178 2131\n1029 1667\n4398 10190\n5083 6042\n1416 2935\n10768 11837\n2964 10893\n4047 8579\n9617 12031\n1922 7579\n4242 4896\n1144 6800\n7664 9098\n4491 7453\n3024 8079\n448 5499\n1670 2538\n4561 10494\n5336 9267\n6883 7475\n1521 7140\n6370 8170\n3043 5465\n7588 8100\n4902 9245\n1109 2635\n4779 5651\n161 9535\n1699 8386\n4611 9041\n5480 11730\n3397 10241\n2849 5388\n1382 8153\n9232 11755\n6047 12154\n124 6244\n1537 8471\n646 9768\n7144 10535\n3221 3301\n3317 5488\n7257 11183\n7446 10783\n4065 9963\n2203 10775\n7245 10556\n966 9076\n9851 12091\n2911 8912\n1320 3568\n10412 11066\n5791 9226\n4307 8540\n4969 10288\n1569 7514\n3423 6570\n2964 10871\n5515 10193\n1419 3539\n3052 8051\n2468 4897\n459 10867\n9062 9949\n2346 6303\n8253 8699\n8818 9989\n2458 9408\n6713 6882\n7597 11922\n5387 9459\n3080 4047\n2737 5460\n2762 4291\n1936 8098\n1253 3019\n4306 10739\n5797 7465\n2643 4283\n4914 10012\n3476 5191\n6022 8900\n3370 4306\n2373 7283\n2013 4530\n1291 1871\n841 11685\n2758 6564\n3621 6543\n224 4963\n4225 11860\n2185 2306\n2 11430\n2478 5494\n5480 6971\n8827 11009\n4590 7895\n1677 6663\n6750 9979\n2911 9447\n149 6917\n8797 11915\n7159 10635\n3620 7262\n1993 10082\n171 747\n2286 6631\n2649 8497\n7713 8863\n11439 11833\n7426 10786\n3609 10981\n4147 10647\n3575 6293\n370 9495\n931 2507\n3789 10790\n5190 9005\n6246 11684\n728 1775\n6493 10444\n3992 9444\n10804 11203\n780 2166\n7326 11102\n3260 8681\n3520 4166\n413 9667\n5228 9203\n453 8618\n2993 3848\n3003 5507\n1876 8855\n3557 6397\n405 4297\n9976 10943\n6913 11251\n331 8818\n2950 12173\n5477 9055\n6936 7342\n2195 2367\n265 4884\n5965 11892\n5671 6101\n3486 11620\n405 1306\n2690 5841\n929 3413\n3187 9369\n4264 10522\n2317 11716\n3075 11074\n1379 7481\n7330 8233\n2307 3285\n5963 11860\n1458 4942\n297 7826\n8004 8314\n1599 7549\n2104 5830\n7220 7298\n893 8306\n3012 11560\n2507 9438\n8626 8815\n6443 11056\n1174 8993\n1966 11818\n5367 6355\n2516 3580\n2181 3422\n16 9010\n1819 2403\n1704 11899\n11233 11479\n4969 10479\n6765 10294\n184 11750\n5163 8918\n8047 10770\n6741 9986\n2357 12036\n2354 2796\n3835 12099\n6455 10945\n6455 9471\n10245 11510\n6044 8416\n6687 8045\n4444 9502\n1514 11586\n2987 4563\n3885 7207\n7456 11072\n6501 6527\n2726 9973\n1487 7786\n4699 9092\n1735 7769\n10035 11274\n5222 10997\n9969 11658\n7765 8283\n5829 9003\n6167 9764\n367 1885\n1170 11301\n4213 8784\n7085 7265\n3340 10143\n9981 11606\n9797 10801\n6236 8419\n1201 6062\n4680 11661\n6791 10440\n397 5715\n2529 11628\n6599 8040\n8602 10732\n879 7073\n1527 11422\n3428 5585\n727 3577\n10318 12115\n1018 3549\n1820 4935\n165 10048\n4375 9260\n2818 5287\n9436 11979\n2588 11238\n2127 10176\n1535 5070\n6848 11436\n3687 12058\n4064 11318\n6806 7955\n3435 4177\n99 353\n5451 8193\n2622 4269\n4402 7862\n1634 10554\n783 3644\n8345 8878\n2442 4313\n776 8635\n6577 9331\n3256 6568\n1971 4122\n5357 9673\n2020 4460\n1199 4233\n6663 10585\n50 3462\n1586 7246\n1632 3945\n850 1234\n6339 8815\n240 3302\n8708 9832\n5102 10756\n5514 10058\n1534 2529\n5514 10905\n8631 9402\n6695 11202\n4600 9470\n701 8389\n2468 11396\n4368 6498\n2807 7228\n4154 9202\n408 4464\n1602 4488\n4625 7693\n1742 7991\n1294 11457\n2653 11078\n1201 12074\n8829 9420\n3974 11560\n2819 10512\n3462 8919\n8813 12187\n5548 6044\n101 5885\n2832 10659\n2633 7048\n462 8077\n4223 11437\n50 6768\n3317 6186\n4389 11225\n6014 7806\n5769 11973\n2176 5450\n1244 11304\n6314 9042\n6671 11151\n9419 10350\n1525 6510\n3041 10360\n7451 8034\n7422 11586\n4589 4779\n1773 8258\n276 7639\n6364 8872\n6313 11846\n2893 6217\n3446 10343\n186 10074\n3790 7857\n7676 11549\n1571 5617\n9822 9909\n2939 6058\n2241 8481\n7948 10436\n5183 6635\n4988 7559\n2809 10629\n9041 9052\n8175 10953\n6797 11661\n279 11535\n10794 12012\n282 4394\n1438 7598\n2348 7325\n5378 6629\n1349 10555\n3442 4875\n32 9357\n1943 4379\n257 5690\n7820 10999\n1311 3881\n9323 10681\n1261 11355\n2588 6568\n3645 10263\n7114 9567\n3645 9781\n4131 7217\n2313 11563\n4680 9624\n9610 10593\n3465 4316\n223 9382\n1298 2912\n8666 10581\n2393 10062\n1629 3407\n6390 11838\n7581 11076\n9690 11131\n3153 8330\n944 7044\n4154 11871\n8165 8522\n3196 7593\n3956 9886\n3255 6566\n6047 9514\n1934 11880\n213 8401\n238 9289\n7835 11522\n2581 4876\n8797 11453\n5127 7974\n633 8975\n7451 12082\n384 7490\n1078 10923\n9471 11486\n7966 11358\n1989 5863\n3506 7846\n996 5334\n1593 2231\n2532 9861\n4542 9708\n6675 10388\n2629 12194\n4294 10016\n4773 11670\n3214 4075\n1068 3364\n4610 6916\n5297 6821\n3163 8905\n255 9700\n1258 5654\n5692 7973\n9644 10746\n2218 11937\n390 410\n8673 11220\n1884 8056\n4818 10334\n3206 4535\n162 6890\n6765 10052\n33 9640\n7800 8421\n3561 10840\n312 2044\n5994 9597\n1901 5601\n6464 9565\n4887 11935\n501 3367\n1415 11091\n739 9742\n4351 9492\n1867 10485\n4843 10738\n7441 10498\n1752 5133\n5895 8107\n6968 10461\n2408 10488\n1723 8121\n811 11104\n2066 2181\n7578 9159\n912 1031\n5653 6890\n583 4066\n2945 4198\n2777 5378\n6462 9509\n662 840\n2967 8602\n2890 5358\n6280 11899\n5271 10449\n1389 3263\n3099 5681\n5132 6236\n6652 10290\n10185 11060\n6333 10454\n3083 8558\n1409 8240\n8972 10625\n6171 7998\n3237 4089\n4034 12083\n4638 5062\n798 10279\n4711 6280\n9447 9761\n4235 10390\n2923 5730\n1010 1956\n5192 11858\n2451 10180\n5101 8417\n9974 11299\n7135 11862\n6698 9138\n1867 8671\n1223 10539\n10046 10892\n5362 10930\n8342 9332\n2267 7130\n3167 5510\n3031 5384\n1701 2866\n358 12001\n8273 10096\n6247 8445\n1948 6549\n4646 7653\n3023 10513\n586 6620\n9536 10537\n3554 4156\n4217 11711\n5132 5406\n806 11345\n304 9476\n1575 6934\n2115 4433\n5341 8877\n173 4254\n4079 9266\n5917 6280\n5676 6620\n2750 7095\n6233 11688\n4572 11734\n10503 10863\n5258 7388\n7934 11808\n1809 7607\n6647 9277\n4396 11283\n4534 11598\n4039 11265\n2319 5411\n3474 6241\n2128 4394\n1753 6473\n2227 10472\n6393 11874\n4843 11959\n9642 11337\n3812 6372\n904 7480\n5683 7235\n3707 7142\n7916 10120\n6616 6832\n6455 8689\n8269 10200\n1662 11589\n2877 6671\n933 3869\n563 2037\n3203 3341\n2499 10644\n1327 11486\n3602 6291\n9785 9991\n6865 8095\n923 9308\n3926 5422\n8522 10464\n7849 8886\n7978 11601\n5194 6077\n7486 9152\n3745 9590\n9018 9750\n6413 6760\n6560 7113\n7005 11760\n9837 11318\n9658 10033\n468 12100\n8382 11076\n4155 10034\n175 304\n8275 8736\n6117 9660\n8803 12031\n4560 6660\n1718 7832\n1105 2040\n6689 8906\n3715 7454\n5926 11230\n3880 7801\n3414 3733\n11138 11185\n1530 9669\n5503 6310\n2702 9068\n1068 10437\n4630 10684\n3915 6096\n9229 11946\n2459 9206\n1542 3616\n661 10226\n2023 10103\n1918 3064\n5518 9891\n120 4031\n3910 11398\n6844 9620\n11084 11976\n775 3935\n5588 9004\n6338 8846\n36 3620\n5487 5564\n5538 7527\n1326 11893\n7076 8742\n370 4745\n5216 11624\n914 10589\n3690 9593\n2301 7677\n2882 11105\n719 9024\n746 6819\n4173 4879\n3860 10528\n5209 5223\n1190 8559\n6708 8109\n3221 9865\n6606 11927\n4155 10842\n4560 5204\n1268 11743\n3621 4073\n3810 7491\n502 11068\n2851 8465\n6125 8039\n8650 9408\n9060 9581\n836 11629\n3558 7768\n7770 8808\n269 7313\n1052 5999\n1558 11371\n595 752\n2557 7558\n998 8677\n2902 9256\n1062 1903\n8001 8828\n1047 1335\n7376 8007\n2755 3783\n14 10061\n2848 7607\n1093 7939\n5660 7355\n1528 7777\n374 11380\n1628 9696\n1185 9113\n430 1946\n9626 11782\n822 4663\n3020 5269\n2825 10412\n3293 6100\n3892 10662\n2655 4629\n5824 11323\n530 10473\n4384 9807\n5770 11957\n5305 5780\n5726 6232\n1062 11941\n7038 11756\n11069 11667\n7886 11199\n1199 3577\n8958 10518\n2779 5173\n1320 4088\n578 10221\n217 1273\n1222 7226\n2590 10130\n1088 9254\n1633 9113\n4581 8573\n1641 11524\n1270 5114\n1453 5159\n908 2306\n6634 9956\n9518 11857\n391 11112\n6053 7288\n2597 10909\n1099 2792\n7111 10872\n4829 6520\n7197 10401\n2130 10098\n6015 10843\n2326 7476\n6276 11371\n1207 4762\n8781 12183\n9399 10481\n6359 8714\n2190 4161\n2973 11883\n6245 10143\n2192 2892\n5354 5700\n712 10085\n971 4764\n9649 10385\n1650 8894\n4191 6113\n217 6147\n1017 10710\n1830 3186\n17 7962\n4751 6489\n1830 10680\n2642 8996\n31 4968\n8805 11408\n3472 7623\n4064 10991\n4564 7981\n4801 7319\n3549 9110\n2009 3738\n2 9579\n3747 9427\n1899 10142\n232 9361\n9478 11947\n3161 8665\n7957 8290\n5944 6891\n1875 6869\n5014 5619\n2021 10147\n3485 6611\n2120 11706\n2260 11113\n2494 3474\n2953 5513\n8650 9615\n1190 9826\n7354 11448\n3638 11342\n6953 8756\n1065 9121\n3510 9193\n8288 9566\n10754 11830\n7423 8996\n2300 11683\n6872 9809\n6598 6697\n1669 10094\n6240 10177\n2324 6910\n5397 11544\n1359 7752\n2445 6536\n2973 8111\n2735 4273\n837 11544\n3619 10323\n9318 10651\n1785 7136\n5692 9105\n6997 10970\n1891 8469\n6961 10208\n2104 6680\n2942 8604\n2916 9604\n1615 5554\n3081 5130\n9813 10152\n5413 8010\n250 10529\n844 10574\n7819 9051\n2459 8843\n870 3161\n9597 10916\n274 1574\n4678 11505\n1561 10097\n3943 7761\n1775 3896\n11167 11751\n1487 9137\n381 3598\n284 2256\n4941 8260\n3905 5438\n62 3450\n3510 7092\n6357 9416\n9567 10565\n2629 4888\n2090 11184\n10138 10225\n5075 8751\n4201 11538\n245 5869\n2836 5424\n649 6641\n5649 10164\n5576 7847\n356 11410\n2700 10286\n5919 6486\n1289 5138\n3980 5615\n1161 5334\n6424 10591\n3916 5421\n1982 8801\n4078 9533\n2867 6887\n1849 8057\n6437 11592\n716 5415\n712 1004\n434 7865\n1334 3501\n409 1698\n9009 9877\n263 2864\n3912 6826\n8121 8634\n6887 10200\n3064 6099\n1709 10569\n830 9812\n8892 10498\n4320 8924\n4934 8377\n4726 6948\n2415 9529\n3466 12163\n1821 2574\n662 6703\n310 5768\n1950 11352\n1792 7935\n7149 10083\n670 2271\n3479 11368\n1989 10500\n9297 11768\n1097 2370\n113 7561\n1319 5157\n6704 10486\n773 12080\n86 10983\n433 8953\n5727 7204\n6164 8699\n2228 11037\n948 12165\n5977 11642\n6344 9801\n5083 5454\n4496 5880\n8907 10694\n5988 8721\n5709 11811\n1420 9870\n1976 2313\n5146 7668\n2280 11879\n628 4336\n6254 8603\n189 7685\n5627 7022\n10196 10515\n825 5505\n3343 10008\n2815 3755\n8605 10694\n1368 9479\n6433 10191\n7709 11300\n9161 9169\n4742 5111\n2730 3278\n2007 5594\n1853 6863\n4409 7079\n731 8559\n2956 10021\n3389 10377\n3196 8368\n10133 10372\n376 4269\n6606 8739\n6714 9342\n3336 8311\n3217 4447\n4946 6120\n202 3803\n1375 5926\n8365 11489\n3882 10600\n2691 11470\n4838 10167\n5380 9633\n2385 4059\n6965 9900\n3743 8544\n1769 10728\n2691 3297\n2494 9903\n3959 5214\n2997 3526\n9777 11803\n9770 10296\n4804 5680\n7321 11593\n1819 10520\n967 1136\n4973 6012\n3333 6681\n5108 11442\n4034 11453\n6980 10112\n7081 9470\n1346 6724\n7245 10521\n1544 11157\n2373 6337\n199 6315\n1567 2430\n2268 5472\n1040 6839\n1607 11105\n170 8115\n10393 12087\n676 2329\n7209 8523\n3056 8621\n1250 10170\n9500 10468\n3679 8779\n3379 7661\n7213 11677\n6209 10939\n5988 9638\n3727 11752\n6431 9914\n4856 9087\n3640 9753\n5029 10338\n4479 6073\n4359 8812\n2896 10559\n614 2732\n5004 11083\n6112 9504\n7235 7533\n6866 9868\n8418 10262\n6144 6150\n3779 7184\n685 3147\n7278 10771\n3885 8904\n1112 2977\n297 4047\n5210 7438\n4350 6615\n1559 5803\n7827 9181\n7392 10870\n5918 7667\n566 6371\n4907 10768\n4986 6681\n8603 9813\n1336 9680\n1015 2077\n8642 8776\n46 10495\n1117 11876\n4448 9942\n2991 4439\n9743 9843\n1967 8173\n3298 4554\n2083 8364\n9656 10415\n1675 11042\n2414 6121\n3720 7241\n7623 8839\n2255 11724\n2308 10874\n1740 8319\n9030 9697\n9762 11249\n5774 11035\n7295 7559\n6263 11887\n2612 5025\n153 713\n4291 5959\n398 11477\n4002 7788\n1826 8588\n1130 5936\n7705 12052\n6575 11616\n6417 11973\n8512 9755\n8518 8951\n1515 7327\n2590 9961\n9074 9956\n566 10155\n537 1112\n6778 8127\n1151 6811\n3378 5992\n5490 9577\n7357 8080\n3912 10333\n435 1192\n2089 8051\n4832 7731\n392 5912\n5636 9622\n3668 10947\n8745 10518\n350 1462\n6264 7004\n898 8149\n7285 7529\n8523 10269\n3496 8551\n1559 5804\n4795 8292\n2266 2758\n2634 3294\n1428 8467\n9439 11645\n1040 8268\n5897 12020\n221 11744\n4755 11590\n1585 8612\n1694 3968\n7648 11369\n7092 10612\n9031 10652\n4558 10009\n3966 5170\n1642 10100\n8886 10830\n2888 3814\n1220 7509\n1210 8312\n4921 7620\n1432 4848\n27 7508\n3869 3878\n2602 11373\n10853 11626\n6203 7316\n5541 9158\n2043 8177\n1737 3735\n10101 11168\n1221 6875\n1742 11620\n2777 5854\n4561 9007\n5061 8915\n5567 10034\n2463 3529\n11046 11998\n4319 10102\n528 12150\n845 2216\n2575 6473\n3241 6832\n4985 8054\n4189 6252\n5295 10759\n10948 11840\n2024 2528\n2624 10517\n2731 8246\n4155 11896\n2999 8906\n9400 11566\n8503 9047\n135 5381\n3510 8473\n10152 10859\n8741 9918\n894 8068\n579 11552\n183 11977\n7029 8034\n6858 12011\n3333 5091\n825 5922\n3903 10851\n2923 4613\n4497 5305\n339 4572\n5429 10021\n3422 5436\n8249 11096\n5016 5658\n4702 7860\n3197 11537\n8413 11440\n8695 11285\n6266 12192\n3470 11272\n2378 3498\n300 8546\n7287 10241\n2117 6124\n2711 8113\n5263 7457\n3671 8266\n3616 7725\n2476 3790\n2085 6492\n1960 3165\n5738 5757\n3516 6731\n9217 9812\n11468 11521\n8102 9800\n4766 5057\n6334 8859\n10596 11114\n6710 11608\n8039 10620\n4586 7768\n4398 9237\n2177 9872\n1070 2360\n5029 11308\n4533 7710\n7151 10540\n1714 8406\n5731 10457\n3291 5610\n1508 3706\n92 5506\n5050 6499\n6969 7368\n1701 2941\n540 9541\n833 8644\n4076 11394\n3214 9976\n6569 8909\n3899 8332\n8523 10304\n5558 11797\n6484 6998\n1573 10596\n11141 11247\n500 11516\n970 8473\n1128 3241\n3732 11393\n5423 6238\n7261 11958\n8900 10777\n3779 9530\n8141 11723\n2979 8929\n8367 9438\n7823 11782\n2019 6724\n6668 7305\n4920 10867\n7837 9231\n5177 7966\n11332 11655\n603 4548\n3261 10149\n884 11819\n231 1710\n3095 6446\n4577 8880\n4759 7508\n115 3829\n2078 5862\n5209 8598\n2980 9657\n3181 6790\n4532 7853\n667 1004\n1056 8245\n6128 6185\n2122 11750\n543 2785\n3397 9773\n9955 11877\n3592 9847\n2857 7925\n5429 8439\n2269 12062\n5480 6371\n710 9371\n6229 8630\n3844 8319\n8427 10198\n822 3456\n5053 5613\n6536 11991\n7756 8400\n3553 4403\n1371 2126\n2042 11805\n740 10679\n3217 6120\n5127 8319\n5129 9506\n3555 6587\n1894 6109\n4505 8231\n815 9908\n9359 11777\n5452 11786\n2451 10158\n757 11777\n6351 7358\n1685 5065\n2239 8617\n4030 7973\n8376 9388\n455 4433\n4982 8034\n6528 8818\n2464 4644\n1851 8624\n3601 5532\n4279 5244\n2941 8261\n68 9180\n9581 10448\n2029 3816\n1673 9202\n500 7758\n5879 9909\n8360 11068\n4388 7180\n4813 10108\n2267 12133\n2681 2957\n5153 8841\n2543 3714\n4270 12154\n6914 10631\n162 10742\n1460 6124\n3326 9101\n84 11737\n3584 6793\n5881 10391\n1329 7026\n253 10215\n412 6939\n6054 9233\n990 9196\n4269 8591\n4348 6061\n3984 5530\n7379 10724\n4090 7470\n1540 7832\n1812 3296\n7966 10826\n1097 4404\n10572 11823\n8107 9455\n1429 11771\n1006 4100\n2724 7871\n2655 7243\n1109 7160\n5799 7692\n4059 11581\n6764 11264\n2190 2496\n8505 8637\n334 7473\n5638 6877\n978 5599\n1802 11267\n1377 2828\n4125 9622\n9712 10429\n472 8334\n508 6148\n959 7894\n1604 2027\n5340 9177\n7875 7999\n7952 10584\n1126 1646\n1974 7268\n5703 9929\n9413 11117\n6910 12144\n1993 4852\n5346 10476\n2573 8442\n2047 2371\n3395 10109\n5087 12100\n3538 4054\n1081 2596\n2407 3939\n8374 9723\n3444 10868\n1359 2543\n6035 11373\n2004 4524\n2181 5731\n10196 10700\n641 1609\n9869 11041\n3784 9155\n5814 10906\n1936 10851\n7207 9882\n1320 9716\n1881 5743\n264 10116\n5849 8411\n9754 9818\n9549 12143\n6784 11633\n1362 2173\n5054 8338\n878 11630\n2158 12068\n1319 5414\n2293 12170\n1282 7922\n9431 11381\n686 9164\n9481 11255\n6819 10612\n2724 10831\n549 11998\n2119 6642\n3344 8851\n9386 12070\n570 5288\n4099 10370\n1465 7595\n3547 5547\n40 3727\n10906 12039\n7831 8746\n1251 7929\n570 1799\n2607 7048\n6732 11217\n4104 10155\n671 1659\n3501 5860\n6880 10342\n5518 6836\n5044 9642\n4945 12185\n7205 11211\n2520 6129\n3311 6589\n8821 11414\n837 8248\n11057 11079\n3459 9861\n6694 6763\n8470 9434\n322 9604\n9834 11574\n769 2466\n9297 10454\n2807 4304\n1235 1276\n1691 2484\n2360 2431\n3716 3733\n2216 8579\n707 8579\n4806 7593\n10381 10664\n1837 8655\n5668 9793\n1735 9086\n4904 9461\n1150 11201\n2604 8146\n3199 9297\n3601 7096\n8999 10611\n4151 5016\n9838 10264\n4421 11211\n8172 10708\n9783 10655\n3303 4555\n3258 3489\n8924 10259\n8931 11277\n1025 7513\n7951 11434\n4006 6914\n5655 6160\n388 6224\n7794 8453\n1312 9266\n5831 7717\n1770 3849\n2374 8138\n6329 9143\n2767 3835\n4730 10416\n4270 10500\n2130 7873\n4725 10657\n6866 10606\n5213 10032\n9109 9679\n5418 5445\n1684 12149\n10828 11303\n3393 7516\n6054 9761\n4913 11238\n2009 2160\n3849 9377\n2549 11562\n1449 10457\n10076 11294\n3393 8108\n2365 6051\n5296 5718\n1366 10267\n271 4362\n1847 9888\n4112 5231\n4708 5614\n8080 10276\n4076 7212\n4749 8462\n647 11338\n2160 3856\n4213 4354\n761 5297\n11904 12041\n1726 8905\n3376 4671\n5981 6023\n4222 9187\n2462 10058\n111 7640\n945 2072\n501 10565\n3673 5007\n1223 3662\n1872 3701\n2194 8453\n2210 3524\n3452 11300\n2581 11004\n2475 6706\n5804 6436\n3690 12024\n2140 2919\n7227 11841\n9719 11311\n1870 4605\n3949 7545\n7404 9412\n2825 10207\n772 6597\n4254 9338\n195 1612\n618 1220\n2172 5372\n5212 7917\n3655 4487\n4432 11182\n6696 11449\n323 7138\n255 4320\n185 11652\n4311 4871\n841 1185\n2065 4834\n2398 4541\n5330 11144\n1801 11106\n7620 7888\n2363 3438\n5568 8593\n2694 5158\n8951 9756\n1721 6897\n5924 11631\n4141 10592\n5216 8670\n1130 12020\n4846 10215\n10236 11760\n502 2366\n8107 11749\n630 9723\n1896 9485\n2001 2395\n3456 11129\n1967 9006\n3010 10799\n3588 7687\n9679 10202\n5009 10401\n5333 7069\n6255 10178\n7554 8636\n9155 11948\n846 5323\n653 7397\n1667 8384\n3179 9473\n2006 11419\n4538 5995\n5245 6120\n4077 10479\n8171 10019\n836 10618\n6508 10540\n122 10392\n2735 4115\n10520 10532\n1757 10453\n5874 8025\n3244 4879\n2388 2676\n10033 10127\n4948 11840\n5228 8726\n2659 10513\n7719 8412\n3706 7463\n3740 6929\n568 1174\n6165 9348\n381 4829\n1223 5734\n4013 6800\n7808 8272\n6971 9806\n5195 11401\n1691 11559\n622 10282\n8920 9064\n3057 4601\n2981 5191\n5040 7426\n7319 11937\n546 1433\n659 5728\n7507 11465\n1005 5838\n5792 6619\n5542 7771\n3175 3390\n124 8022\n1136 10584\n6735 9983\n5305 10994\n5982 7234\n3693 5139\n4990 11413\n3450 3780\n4438 10538\n1102 11500\n7083 10141\n5158 5998\n5638 11892\n3267 11639\n2377 3681\n4 3236\n373 5397\n1930 3450\n4841 10715\n2728 5781\n1553 10805\n4772 10001\n5333 6064\n7308 7631\n1842 5910\n7429 11460\n4059 8174\n11126 11660\n4433 5013\n2039 7285\n1236 1930\n9285 10013\n6012 9728\n2608 9973\n3821 10761\n10599 10911\n5256 5384\n2728 11533\n4526 8965\n3018 5396\n3371 9413\n3674 6169\n3193 9244\n43 4461\n4047 9970\n8081 8912\n8242 10013\n1071 6861\n6095 11542\n9235 9977\n369 10375\n797 1278\n391 10984\n9271 10299\n8587 11787\n1756 6532\n9964 11661\n38 8139\n4916 11548\n4055 4829\n8350 12011\n1289 8882\n9244 10622\n2261 5481\n2192 3513\n4701 8738\n3638 9574\n5984 8450\n2116 8558\n4213 6240\n4514 10224\n3472 10665\n7138 11107\n2147 7379\n5278 7416\n5879 11952\n149 3986\n630 1808\n5502 7412\n7106 11838\n126 7147\n2430 7157\n5170 8605\n2296 5643\n633 2931\n803 3802\n3312 11171\n2223 11930\n4593 9315\n8651 9968\n1289 11149\n9506 10124\n2593 6727\n307 3355\n4109 10137\n8435 11326\n2477 4891\n1220 3810\n7439 7482\n6153 10201\n1934 11793\n3160 6881\n3428 9662\n1525 8380\n213 1272\n10467 11660\n6904 10334\n259 1826\n5339 8642\n3904 9961\n5154 7708\n4464 11216\n7442 11260\n8971 11464\n7700 8744\n2023 7858\n3245 10922\n178 5545\n2125 12175\n6302 9074\n2872 7908\n1171 5026\n5787 7591\n10098 12096\n1532 3043\n7530 8372\n575 11523\n2097 10958\n3261 11130\n388 8610\n443 3240\n2148 9322\n8366 11153\n2879 5955\n3911 5812\n4977 12072\n1721 11414\n3046 6541\n3636 7728\n1367 1795\n4947 12017\n4084 9909\n7381 11458\n7231 10878\n2701 5093\n924 2583\n10261 11781\n2286 10154\n5192 11627\n496 9855\n1334 4787\n5574 7310\n4989 7207\n9881 11312\n3587 4116\n4173 6221\n7181 10498\n5721 11169\n2836 3288\n122 747\n810 7158\n5366 8969\n1183 2619\n8530 8814\n1195 4356\n3556 9959\n9929 10065\n3006 9073\n365 9494\n5704 9734\n9951 10962\n7326 9489\n6902 10716\n565 4485\n2620 3871\n953 6307\n913 4388\n915 3477\n9518 9955\n4514 9386\n253 5885\n10444 11540\n937 5555\n1380 6640\n4233 8660\n6671 9298\n2859 4227\n2728 7739\n2408 7100\n3528 10588\n5064 5182\n10709 12037\n4929 8873\n802 1411\n4452 7015\n366 1388\n2375 8024\n4084 9545\n1480 5760\n3721 4316\n5797 9688\n3331 7101\n3060 5277\n4908 6115\n3173 4242\n1409 4581\n266 11465\n3128 8620\n4601 10313\n5876 7923\n2598 3912\n722 12029\n1413 11384\n4809 9197\n929 11333\n126 6669\n8504 8847\n5573 8843\n8484 11612\n7879 11685\n7864 8480\n6711 8761\n3808 7923\n5510 10073\n4386 4905\n8060 11795\n4548 10535\n1505 10768\n5642 8195\n8253 9922\n1075 8565\n7317 9843\n5575 9435\n5015 5124\n4551 10956\n122 1626\n328 7766\n1655 3850\n4916 9069\n1886 2055\n1064 2612\n996 8418\n212 3192\n4078 11212\n3617 6518\n3151 9196\n3009 4785\n7484 8994\n4926 5513\n4447 7888\n2090 3630\n8817 10894\n9410 10265\n4414 7945\n3981 7360\n8065 8200\n3643 11295\n820 2645\n2130 4089\n567 1301\n6743 11454\n2964 6169\n4612 4792\n9768 10766\n1155 1395\n1349 9918\n7203 7596\n1268 9724\n3637 3743\n9321 10093\n8639 9269\n1144 4385\n2546 3945\n125 11766\n6880 11515\n4446 8126\n4787 6756\n192 5990\n2932 10191\n4123 9966\n7547 12103\n7614 9137\n9698 11789\n2978 8268\n589 5656\n5628 6816\n4391 6239\n4029 10775\n4678 5818\n1980 11191\n7234 8114\n843 2538\n5386 8440\n1279 3770\n4356 10041\n1229 3179\n1008 9765\n693 3986\n332 5972\n10097 11511\n1482 1891\n1372 4649\n5972 7346\n9156 11572\n1087 12126\n5789 10290\n2334 9984\n2998 8621\n4028 6806\n4260 6257\n5881 5972\n6704 7144\n4934 5426\n1547 11207\n1381 3244\n7953 8869\n655 11267\n4800 12184\n9069 11133\n5915 10023\n2225 4942\n2981 9189\n3372 10067\n7539 11026\n4396 9690\n9622 10538\n176 7563\n5355 9975\n2582 7761\n6835 8512\n1156 3982\n2116 7034\n3554 11448\n7416 9824\n441 5030\n2613 10068\n8789 9702\n3353 6630\n2564 4747\n3332 4016\n1411 6908\n2417 9586\n167 7318\n1364 12074\n2269 5788\n2701 3752\n1416 11572\n838 4970\n791 6780\n5020 8408\n581 5492\n2447 4106\n2978 8513\n7676 8131\n178 9474\n1619 3949\n579 11016\n2222 7036\n7203 9653\n800 2971\n10082 11528\n5098 6518\n240 11932\n478 11425\n3515 9748\n6446 9081\n3627 5803\n3762 6847\n5222 6664\n1804 4786\n2337 7929\n2057 6629\n82 1874\n1280 8420\n7512 10755\n44 10719\n4129 8534\n5567 7743\n781 2241\n2659 11687\n8684 8739\n1867 3705\n4031 10056\n89 5755\n5819 7099\n1565 11397\n2805 11400\n8604 9391\n2401 11991\n3172 10891\n7763 11472\n2170 11280\n3434 8956\n5402 6287\n4440 6753\n861 11700\n3757 6576\n7654 8162\n552 11446\n7005 11961\n7681 9995\n227 10662\n9007 9819\n6906 9434\n6742 8951\n202 7405\n2201 7565\n237 2936\n3403 8666\n6167 10608\n2980 10834\n5970 7701\n898 8912\n3503 4501\n7458 9045\n236 8671\n1903 9342\n2128 7109\n8663 9850\n5829 10244\n1859 8617\n513 9282\n2880 6695\n7540 9319\n4442 4603\n4237 6675\n4543 11454\n2826 10530\n4394 10606\n1043 9026\n740 12048\n34 6596\n3160 11084\n8524 9893\n5604 10918\n10754 10963\n5224 9943\n6156 7544\n2866 5282\n8034 11983\n6440 10752\n5020 7723\n2602 10067\n1949 5535\n5303 5613\n108 2975\n902 1826\n6794 9737\n2376 7072\n671 9140\n771 8163\n1388 11044\n2848 10404\n4760 6369\n7214 9722\n2650 10746\n3970 12163\n6367 7238\n9577 9767\n6874 10985\n3489 11512\n2195 4561\n517 742\n3262 12043\n5634 9396\n1651 2524\n6835 10084\n810 11239\n7568 7576\n6489 6584\n7460 9265\n3468 11508\n1822 3414\n6232 6770\n1533 11727\n6178 8538\n320 2560\n401 10694\n8533 8842\n6632 9183\n4611 11890\n2051 6079\n2617 6539\n2566 5879\n2766 11643\n4338 7217\n5287 6396\n6674 10797\n3333 3541\n3813 8189\n4581 6241\n6007 6711\n5054 8257\n1196 4198\n65 10401\n3506 11303\n5891 8924\n2931 3515\n2663 11712\n4114 11838\n8118 9154\n6083 10170\n1575 4567\n1087 8855\n813 10569\n458 12007\n5523 9978\n3351 9152\n1680 5837\n1014 6425\n8783 10805\n4789 7243\n921 7791\n3577 7477\n489 3571\n14 3539\n6043 8821\n897 4529\n11805 11972\n5064 8534\n2000 6765\n5323 7800\n10142 10857\n4440 9072\n6653 7239\n6933 8272\n7795 10560\n7227 9289\n6680 7207\n7962 11795\n1232 7602\n3463 11087\n7311 11432\n585 9055\n8659 8744\n2583 4028\n992 9914\n1254 11892\n2412 6990\n4505 10463\n1372 4974\n235 10701\n517 7734\n501 5271\n3515 8211\n4140 5240\n4984 7896\n6706 11588\n80 10716\n6167 10387\n4622 7270\n2891 5978\n1174 7731\n9068 9855\n3135 7081\n979 8924\n1320 8710\n1602 3818\n3941 11238\n4308 10366\n3286 3934\n2715 4593\n36 1712\n3883 8985\n82 3094\n5836 6231\n7927 10754\n9382 11977\n82 7271\n2427 3809\n8977 11845\n1194 5442\n429 6052\n1393 11649\n6600 9742\n2309 5181\n8667 11888\n5343 11602\n10458 11811\n11010 11639\n2911 10034\n4772 11627\n8232 8396\n2276 10811\n898 1837\n2051 7098\n5654 10413\n1612 3626\n616 2417\n6105 12187\n544 1392\n4717 5329\n7866 8339\n4267 7100\n2321 10348\n1586 3213\n753 8518\n6631 9569\n2739 5633\n2221 4908\n725 11965\n8965 10015\n3138 8528\n10048 10470\n355 9987\n4853 10232\n78 10089\n6840 11901\n120 10535\n4501 5025\n649 2614\n877 3052\n9299 9346\n5558 9693\n3039 9185\n3092 9099\n6895 7580\n8489 9961\n8655 12058\n1176 1372\n110 12128\n4643 10794\n1098 5275\n7051 10520\n925 4991\n323 2013\n4087 7715\n3178 4419\n149 9344\n5587 6366\n10021 11808\n8978 10567\n646 7593\n326 5801\n1512 6600\n1026 9398\n797 8202\n6083 6978\n9455 11438\n2319 4865\n2404 7486\n4944 6653\n2421 7404\n10492 11792\n8733 9488\n9250 11972\n2306 6369\n9546 9652\n8001 11080\n4211 11043\n883 6400\n1715 9175\n7520 10551\n96 10262\n3267 4138\n5070 7368\n296 5788\n8203 8320\n4068 9150\n1781 7476\n9839 11605\n2954 7766\n2237 2907\n7140 8693\n4539 8706\n7932 10789\n2585 5939\n1347 5360\n6189 9046\n3356 7542\n6484 7582\n6564 9254\n419 3161\n5086 9292\n2720 6365\n151 10278\n3103 10111\n3591 8228\n6181 10178\n8256 10755\n1481 7447\n3793 11199\n8313 9431\n668 5948\n5099 9071\n2430 4908\n251 4740\n6737 8306\n4471 11524\n8929 9846\n1213 10742\n6583 11075\n1998 5120\n4601 11735\n4760 5438\n254 9078\n1084 6977\n4284 8403\n3151 5349\n7161 12010\n249 5069\n832 9961\n6492 11364\n287 8054\n8127 9895\n2583 2766\n1471 6986\n7291 10411\n4254 12186\n6424 10824\n3272 3523\n1939 9137\n1182 2119\n183 7599\n7621 8876\n185 11393\n1820 5954\n1063 1657\n5536 8946\n1419 7270\n9155 11409\n9755 11438\n9753 11020\n5621 10872\n2094 10434\n3086 3422\n4778 11233\n1626 7455\n4177 11519\n6007 7295\n3783 7938\n80 6688\n8952 12098\n3650 7345\n8943 11085\n11448 11820\n5700 9510\n5635 10631\n6208 7421\n1063 6309\n7539 8511\n10950 11808\n436 1915\n2862 8793\n2637 10752\n3415 6615\n1128 10545\n2310 5550\n4782 10534\n8120 9090\n3381 7013\n6500 9553\n7859 10283\n1872 7848\n2373 6733\n1419 11618\n2248 7600\n1425 8650\n2729 10774\n3170 4463\n2804 11333\n3625 6429\n2139 5464\n1812 4396\n4803 5394\n6117 11234\n2856 7829\n3786 11712\n6348 7181\n7548 11393\n2450 6008\n961 8091\n1720 4253\n2517 9950\n2938 4439\n2153 11244\n1318 1729\n4215 9334\n4576 7522\n8155 12064\n1647 7256\n3542 3993\n1932 3787\n3834 8723\n8310 11359\n3065 8022\n2558 7522\n187 7200\n10493 11437\n8380 10287\n9095 10087\n6749 7045\n1083 5814\n8362 8592\n5453 6795\n4153 7896\n7038 12117\n7617 10459\n6149 9193\n1183 4463\n2468 3413\n2264 3161\n4449 11913\n6782 8684\n6117 6121\n6225 8324\n4730 12067\n5368 11608\n4271 10580\n1989 4278\n9619 12138\n10624 11072\n7834 8236\n7418 8157\n1809 11637\n6099 8685\n1072 9781\n3209 9653\n2001 11647\n8444 9146\n329 11525\n2163 7710\n1636 3411\n1253 6850\n9834 10186\n1479 5595\n2441 7160\n843 6910\n3987 10601\n4336 11664\n8020 9181\n1844 4652\n4522 7331\n451 5737\n1124 3711\n5856 11764\n1896 11029\n1344 7244\n2212 2301\n11541 11805\n8410 10015\n7182 9196\n2680 9909\n1000 6529\n4987 7883\n2980 9882\n2210 4459\n9113 10842\n1176 9732\n6708 6884\n2835 9622\n4108 9314\n511 12037\n6268 8458\n88 5982\n2922 10719\n1056 5447\n1152 1214\n1308 6188\n8146 10603\n5990 6003\n148 3085\n9983 10200\n1358 4832\n4623 5681\n3310 3373\n8818 9362\n2009 6697\n268 4421\n1960 11437\n1529 11362\n7977 9215\n525 6091\n3680 10673\n5531 11293\n1654 6895\n989 2962\n2528 10148\n10041 11449\n7609 10864\n201 7474\n1313 6791\n3923 11572\n8056 11708\n4391 10038\n3239 3870\n4811 8067\n839 9654\n2025 4076\n3930 9374\n850 5577\n7891 11875\n1417 1579\n3987 10376\n7044 10273\n4917 10581\n1825 6274\n1867 7308\n894 8772\n5919 9844\n9813 11448\n8580 10964\n1296 5542\n6738 6886\n7439 7903\n2113 11359\n2558 7246\n669 11237\n4316 6519\n6645 9509\n4143 10084\n7987 8730\n8598 11218\n1231 11317\n4134 12045\n3966 11067\n2063 8275\n849 3733\n4377 12144\n1533 1728\n6721 10118\n3067 5540\n5620 9430\n518 11105\n315 12056\n8802 12014\n2026 2602\n5697 11700\n8818 9369\n2297 6130\n3216 7775\n6873 11406\n892 8027\n3207 6009\n6633 9457\n4549 11553\n2641 7053\n6490 10320\n55 5896\n5042 11730\n7175 11244\n8233 11393\n3805 8365\n1213 7574\n1453 1489\n1391 2291\n511 5488\n618 8435\n2728 8562\n42 6501\n4291 5794\n7520 10048\n8027 11686\n3721 6736\n1023 9355\n7683 8908\n630 9866\n1677 11798\n2253 8605\n7910 9206\n6626 11950\n386 11169\n6066 11297\n6529 8079\n8162 11051\n3697 10863\n3313 5900\n5008 9348\n7313 9187\n1100 6581\n1077 5692\n6000 11189\n789 4210\n6385 11334\n8138 10684\n5787 7766\n1493 9776\n4836 8593\n2860 7231\n4230 8403\n650 10469\n8148 9018\n301 466\n4056 11489\n7 6661\n896 11466\n3714 8959\n4099 10672\n707 6908\n11461 11466\n6175 9319\n4565 6267\n5055 8357\n3751 4531\n2280 7733\n5007 8036\n1283 3035\n1000 7149\n819 986\n6624 8256\n3349 5653\n3101 6325\n1715 4441\n1233 1653\n4961 11951\n1264 8585\n5926 6092\n2967 7423\n5188 10139\n443 3847\n3390 8106\n3318 10315\n183 7267\n5939 7276\n252 8679\n1439 3678\n542 2501\n24 7769\n3358 8489\n3211 10234\n1264 3346\n4040 10642\n7888 11273\n4409 7002\n6478 8168\n3505 8413\n6184 6670\n7753 9373\n5700 9855\n2578 11170\n4924 5701\n6348 10602\n189 2813\n3919 12069\n1884 8501\n1311 8711\n4505 10925\n456 2089\n1147 9924\n9547 12177\n3988 6846\n10996 11294\n6413 7352\n7453 11740\n2977 11534\n5386 6598\n8585 9137\n4215 10558\n4073 9074\n1270 10404\n4839 6300\n4833 5596\n11277 12004\n2560 3466\n3241 6388\n885 3831\n3168 4436\n3793 8836\n4425 7923\n431 4775\n1318 9008\n1397 4460\n3565 7739\n4905 8250\n2075 2130\n7303 7662\n5291 8043\n1400 4020\n3870 4116\n7702 11713\n2926 8776\n1109 11374\n302 8485\n2166 11551\n2089 8662\n6072 8378\n1721 9343\n1977 2767\n10598 11641\n2002 3353\n3492 7185\n6396 11181\n575 11434\n1991 8437\n6036 8223\n2009 6810\n6849 8097\n2118 8979\n1869 9147\n6270 9048\n2975 9502\n5651 6388\n3769 10500\n1804 5984\n8312 10859\n7464 9228\n172 9259\n3877 6197\n2038 6670\n5907 11116\n8654 11684\n4081 7138\n438 1230\n6198 6477\n2514 4454\n5483 12050\n5034 11088\n5718 9021\n300 3909\n1782 11062\n3865 4726\n6265 6267\n4459 9753\n6820 11358\n3399 7955\n7834 8718\n6852 10770\n7308 9181\n7421 9740\n4736 11708\n47 3063\n2190 9179\n677 5403\n326 11536\n3369 7650\n384 6527\n3822 4917\n363 7482\n1815 4629\n3160 12020\n2126 9612\n2141 7382\n8648 10805\n1023 8165\n6944 10378\n664 11648\n3506 9969\n2779 3446\n2815 10147\n1436 6144\n9535 10811\n1171 10737\n1740 6296\n968 5703\n4707 7217\n1533 11079\n6171 10035\n1669 5885\n4476 6643\n2531 10930\n8449 10124\n8435 9134\n758 11243\n3561 6649\n1844 4504\n1004 7700\n21 3728\n1140 11502\n2545 11074\n2218 8846\n3622 4213\n8901 9096\n2914 11966\n1336 6460\n5276 8420\n1658 9425\n6926 11309\n3800 9393\n9329 9631\n8445 11013\n9280 11480\n5092 10884\n1378 6971\n1685 11788\n6159 9189\n4116 10485\n3428 6808\n9786 11375\n8384 9765\n2042 11900\n6218 8067\n788 5232\n2547 6896\n1643 2085\n869 12105\n8052 12038\n8028 9721\n1860 5823\n8347 9543\n1608 7524\n2788 10088\n2587 11081\n6593 9886\n5438 9293\n301 1115\n4089 11019\n1510 5401\n4738 5774\n8789 10361\n344 3445\n3302 6206\n4668 8656\n4939 9616\n471 5338\n8717 10372\n104 397\n7371 9915\n73 6692\n4299 6343\n8383 9598\n702 6002\n6495 10878\n7590 9786\n867 6135\n5694 7941\n122 10712\n546 9766\n1645 4040\n623 11213\n4325 5051\n5739 7574\n1981 5832\n1378 11671\n6692 7410\n3367 3399\n4114 10512\n2473 11293\n1868 5590\n1676 3394\n2661 3633\n2136 8449\n1359 6612\n2805 4481\n7390 11668\n1002 11429\n6418 9686\n4367 4492\n5919 6032\n4952 9723\n3055 11612\n916 11401\n17 5895\n1368 9984\n1890 7005\n8815 9224\n6164 8596\n7501 9843\n1533 7520\n1689 9460\n10534 10631\n8211 9703\n9361 10847\n3114 4367\n4025 6245\n371 888\n5714 11935\n649 6960\n2873 6418\n4741 10693\n1472 9139\n5258 5425\n2136 7388\n1761 3897\n1869 2438\n431 11693\n9891 10354\n8 11649\n4129 7351\n1523 9102\n2529 8974\n4938 7009\n1507 4963\n7060 10631\n4791 8624\n1031 4329\n3895 4839\n7937 9954\n11080 11237\n2507 6970\n1000 7428\n5980 8944\n1575 8422\n6447 10599\n2502 12058\n3169 10678\n5579 6826\n9191 10931\n7411 10037\n2202 2588\n454 3907\n2242 5227\n4660 7831\n3125 6128\n3444 11606\n1621 10065\n2260 11267\n2510 5913\n2872 4279\n3984 12135\n1015 11284\n1364 2468\n2318 10427\n4560 10054\n4630 7186\n2116 4997\n1696 3728\n3546 4060\n7888 10620\n4918 11176\n10077 11623\n5317 8319\n3430 6063\n8871 11322\n2771 11584\n674 10199\n45 8961\n10047 12155\n5449 9706\n4766 8044\n4687 6338\n2040 9752\n3424 5362\n5058 7335\n781 8960\n78 10375\n5264 10371\n3053 8292\n4623 4907\n2120 10791\n6618 9731\n9244 10604\n6493 9797\n3184 5228\n6467 8322\n577 8731\n9024 9889\n4230 5879\n7059 10155\n2476 11053\n1398 9856\n4027 11997\n1309 4480\n6361 11378\n214 817\n4123 4351\n218 7068\n2789 4359\n6180 7441\n5622 6495\n2324 9175\n10613 11787\n6281 10912\n1604 10979\n221 10477\n5464 10418\n3427 3729\n3481 6207\n1600 10987\n8363 8460\n5337 8444\n834 2307\n1702 4517\n3126 7424\n566 4501\n1929 5829\n1926 9714\n1288 12117\n2855 7683\n3113 5553\n1258 11458\n3339 10454\n790 7638\n3577 11831\n7047 9576\n1797 5574\n157 8254\n6861 9454\n849 6424\n1510 2638\n8575 10490\n4620 9520\n3029 8654\n2523 12052\n5564 9168\n1712 7559\n5385 9154\n2927 11938\n1670 4979\n2192 2226\n11553 12016\n2318 4338\n8872 10194\n1273 7702\n8839 9966\n3278 5926\n3921 6408\n2799 4534\n2295 5229\n6209 7948\n2524 3531\n715 9186\n7173 9366\n2007 6841\n5753 11996\n1313 4249\n233 11041\n1983 2276\n10885 12005\n2302 5224\n6021 10313\n5281 6130\n6734 7001\n1433 1813\n2007 8284\n3618 4618\n3745 9131\n157 1336\n5617 10660\n883 2150\n1302 4697\n7660 8378\n20 5887\n5261 11334\n5254 11979\n4901 9643\n1124 6307\n511 5754\n6107 6260\n1143 9423\n9495 10909\n7847 11726\n752 11751\n3236 7387\n4725 9881\n7271 10709\n842 2862\n3378 7828\n2027 7574\n2521 10154\n3161 10161\n5085 7712\n2310 2772\n10691 11927\n5388 9922\n5757 6241\n4024 9828\n2809 4230\n8119 8669\n4676 4962\n9639 11808\n208 4568\n3287 4156\n3643 6607\n8956 10573\n5746 8565\n1616 6879\n6236 8338\n3454 7009\n8476 11735\n1186 5379\n2841 7699\n1146 5245\n4710 5948\n2712 11837\n2643 12062\n816 1779\n432 6537\n5910 11251\n251 1506\n3120 11216\n1321 6666\n10361 11107\n7408 7982\n4262 6082\n7175 11085\n3051 5347\n700 2701\n3480 10545\n7676 10911\n3087 6927\n8242 10689\n5036 11486\n6513 9955\n10957 11433\n8152 8988\n8707 10422\n7082 7542\n3366 4656\n5374 7929\n4163 8340\n7442 10169\n3098 11790\n1342 2266\n682 9753\n52 4936\n8368 9159\n5439 11887\n7216 8816\n1934 3120\n2215 4514\n4596 7384\n1600 11353\n4653 6296\n2226 10331\n4156 5681\n1020 11270\n516 6835\n7224 8252\n4355 11368\n5537 10967\n5096 8962\n667 2202\n4897 6434\n7329 7915\n5833 8079\n1884 7116\n3535 6220\n689 9911\n3283 8024\n5058 5828\n9042 11899\n1278 5658\n9243 10603\n5357 12120\n510 8293\n4114 5228\n956 10150\n2701 10658\n2627 6196\n1562 2523\n4542 11976\n5175 8576\n568 6844\n1752 2788\n6565 8787\n6900 12044\n3950 7327\n2131 10243\n6309 8602\n1416 8867\n181 1873\n2620 11275\n2190 8747\n3945 10661\n1106 3221\n1765 12101\n551 2839\n726 1196\n1873 7354\n1761 8690\n2712 5089\n2988 9670\n2068 3930\n3621 6021\n8859 10281\n11103 11826\n1802 9199\n3166 12033\n2176 4563\n1833 11475\n2265 5774\n291 4096\n8568 9553\n4172 6130\n4808 7887\n4167 10431\n270 6715\n8295 8985\n9950 11298\n5850 7029\n456 7424\n9234 9982\n170 10012\n2425 11953\n5491 6119\n1223 6700\n2933 5788\n841 4580\n6452 8602\n1696 6548\n1231 7854\n752 3797\n1062 5797\n3724 12097\n4758 10326\n5688 7658\n4069 5052\n7772 11745\n6251 6271\n3545 5481\n3611 7522\n5958 6138\n3035 10672\n3176 9900\n3193 5782\n613 2484\n2272 6593\n6439 11517\n474 10010\n10619 10902\n3806 8087\n6249 11390\n1793 6103\n3077 5060\n6811 7639\n8839 9856\n8486 9694\n867 1192\n4203 11373\n6211 9846\n7065 11283\n2641 8496\n6295 6378\n4734 4854\n1433 11618\n8470 11108\n3831 4319\n6231 6547\n5654 7050\n6744 11740\n5663 7444\n9843 10369\n10016 10764\n5264 5759\n6858 11648\n1629 8549\n5105 7551\n479 9302\n88 10237\n3565 10421\n7171 7238\n5582 12183\n5865 8084\n396 1751\n6229 8557\n6074 6773\n6020 10023\n5719 11350\n5791 10296\n4263 7149\n720 7565\n4914 9643\n2298 12171\n7028 8995\n1634 12071\n5995 7811\n6956 7830\n1438 8342\n675 9089\n1756 7951\n9609 10683\n5671 10282\n435 11352\n6431 9351\n1421 3308\n8990 12171\n5436 11762\n1447 3192\n6279 6800\n330 10444\n4521 9839\n5320 11174\n2480 11367\n2296 6101\n4903 8110\n7230 9776\n726 3459\n7585 11952\n753 12087\n2131 7473\n4011 8512\n7469 9865\n3353 5311\n4223 7433\n1608 9518\n3687 6823\n3478 5536\n2380 4124\n1925 9154\n2324 11972\n9498 11366\n3649 6935\n1525 3485\n8912 11042\n7643 11739\n414 524\n5788 10514\n2246 6572\n2313 9837\n8930 11910\n6094 6967\n1958 9591\n3340 10119\n6403 8295\n9404 11053\n11171 11549\n2122 4872\n1094 7188\n6031 9335\n4919 6150\n2673 5151\n2384 7226\n2138 10635\n198 6935\n6306 9438\n457 4529\n3140 8715\n3531 6319\n4714 6500\n1254 6280\n1151 10137\n3231 8303\n5066 5720\n4572 4755\n2999 3384\n1279 4349\n1651 6452\n9596 11540\n4800 6975\n11795 12140\n2210 5428\n1941 9528\n2643 6311\n3386 11631\n319 11249\n3306 4376\n831 7419\n5354 9661\n2304 5666\n9642 10456\n7403 9782\n2967 11294\n301 10595\n689 5570\n1217 6598\n70 9690\n2109 2303\n133 9249\n8466 10707\n4327 4617\n592 5163\n3196 3347\n1327 3610\n8343 9612\n9531 9795\n9143 10423\n5043 10543\n4065 4890\n2763 4706\n5012 6180\n4842 6687\n6357 10244\n1259 8721\n403 3705\n6888 9743\n4342 5333\n4367 10963\n4691 11474\n5211 10883\n5807 7586\n5988 12105\n10223 10854\n1286 11751\n3442 6506\n8066 11549\n1288 2184\n4865 8370\n1027 8634\n1581 4043\n2740 12139\n2583 5586\n4295 9412\n1813 3834\n1896 11573\n9550 10318\n2289 9670\n639 5930\n8124 9617\n1931 11898\n5327 9350\n6612 7438\n7904 8877\n5279 6458\n1099 6268\n1808 7714\n5976 10184\n5687 9063\n1495 7389\n3814 9518\n2296 8290\n7617 11300\n8456 9600\n21 3105\n7602 8903\n239 5332\n8628 10886\n327 1258\n1641 11653\n2528 5480\n841 4190\n2095 2365\n374 6226\n3510 8456\n5338 6581\n5525 10391\n10379 11888\n3843 8012\n1812 8649\n3276 9708\n5945 12143\n3692 12175\n9660 10047\n1955 3801\n6117 11917\n4531 5829\n10594 11708\n3115 8073\n4608 10115\n2383 3929\n2191 7090\n4325 4568\n1706 5628\n313 3980\n833 4935\n317 10632\n2214 8524\n5581 11763\n442 12125\n11070 12006\n1733 4734\n6786 9917\n3367 9876\n893 4858\n2064 5457\n8367 8371\n8111 9909\n10564 10907\n3443 7666\n6349 10893\n7083 10621\n4974 10303\n4356 8993\n1284 4920\n5137 11367\n5625 5765\n7884 12183\n9692 10484\n5579 10296\n6904 7262\n1350 6569\n4892 6900\n95 1815\n1494 8817\n7667 10652\n4106 5603\n4841 4877\n2820 3050\n2639 3249\n3548 7093\n173 8780\n1541 3268\n6804 9969\n4531 6313\n1844 8360\n3031 3237\n1356 7451\n8018 8199\n589 10770\n3532 9962\n5269 6353\n5551 9446\n1784 10981\n4561 6130\n8238 10257\n6292 8811\n459 11159\n895 10891\n5163 9021\n7011 8237\n1526 1715\n285 4881\n2374 7592\n3274 11848\n642 649\n2269 8205\n4438 6250\n2863 8104\n1873 9489\n3052 4305\n3480 4906\n7543 7934\n1959 7351\n1723 10340\n1005 4977\n3815 7212\n71 9626\n3414 8243\n2809 7655\n2639 9156\n121 10704\n7185 8145\n1310 4320\n4297 11250\n5952 7761\n3653 10923\n3423 5141\n3723 4919\n5921 6658\n2847 3127\n7438 9902\n7117 8347\n2866 11716\n59 6992\n2121 6774\n1302 10985\n2633 7066\n8976 9490\n9772 11256\n1485 2038\n3167 6559\n9573 11634\n4531 8394\n4154 5106\n237 9890\n847 10209\n5825 9259\n4060 5621\n4383 11000\n2247 2925\n4359 11003\n1915 10718\n9401 10074\n1523 7005\n1003 7707\n654 6407\n6892 8993\n1262 1389\n1408 6531\n6504 9381\n7222 9675\n2106 3466\n775 7992\n5818 10256\n3133 3899\n8543 11881\n3835 9193\n3733 5043\n262 5861\n1443 4798\n691 4992\n4348 11163\n527 2757\n5916 9094\n3522 5116\n8079 10049\n1234 8560\n390 5046\n6536 6681\n3498 4493\n4787 8888\n4547 9809\n5063 11897\n3503 5159\n6783 9773\n3422 4572\n2590 4115\n911 10186\n1513 6209\n340 8467\n8001 8437\n8826 10950\n424 1498\n1626 2185\n9480 9847\n7979 9867\n5415 5533\n1271 4245\n5208 7973\n2618 4494\n10783 11150\n1671 4650\n6339 7035\n2876 8513\n9280 10533\n501 7729\n3578 11867\n11774 12013\n2137 10286\n137 2160\n4710 5533\n8910 11420\n2841 10488\n6183 9254\n1109 2093\n3394 6905\n2878 10595\n10522 12038\n9213 10026\n2466 10725\n3494 9136\n4484 8115\n8885 11303\n3448 5722\n1808 9778\n2405 11365\n4929 6450\n6317 9197\n3545 7342\n2441 3302\n787 6555\n9652 11085\n6368 11324\n553 11854\n1780 3955\n2035 12131\n6582 6647\n8394 8632\n6377 7712\n2824 5668\n7298 7677\n5401 8684\n1198 12092\n10398 11185\n3842 8368\n5540 10896\n5415 5538\n4036 4225\n7213 10065\n5420 7162\n614 3250\n4025 11509\n1328 1492\n1770 2960\n1371 9835\n5510 10287\n2116 10880\n1835 7037\n3744 7496\n1298 11145\n2021 9262\n10820 11298\n3608 8030\n7977 8671\n2461 10786\n3607 7423\n4188 8279\n10367 10531\n5835 6497\n1339 2311\n5751 10115\n615 9343\n2170 11661\n4003 10280\n204 1752\n4223 5330\n7935 9484\n8581 10278\n1964 4659\n5229 9056\n2821 9905\n1713 5307\n368 4055\n142 1753\n2404 9765\n4057 10270\n2616 3406\n8575 11336\n1174 9986\n1777 11247\n5575 11480\n2811 3328\n3888 5681\n7614 10816\n4145 9202\n6720 6752\n1894 9088\n6901 9031\n4114 10053\n7824 8193\n3634 8186\n4633 9911\n6828 10243\n6731 10714\n250 7100\n7306 7741\n7419 11162\n10665 11772\n5380 11551\n3763 5374\n2817 3858\n4182 8584\n2792 9653\n4814 6874\n3369 4986\n4221 4786\n9965 10038\n183 4418\n597 4834\n5467 9592\n1307 9743\n256 7380\n3320 5416\n4443 9926\n4157 10507\n2713 6793\n7683 8716\n10686 11305\n7207 7710\n4952 7981\n8515 9727\n9326 10367\n395 4508\n8246 9143\n7905 10341\n5303 10242\n3523 3687\n4731 5301\n1710 3767\n2979 8291\n4182 10026\n4925 10685\n6435 6703\n700 3730\n2969 6604\n1525 8819\n6004 6395\n5249 11204\n11474 11502\n9875 10005\n4246 8100\n4287 10467\n7296 9877\n1098 4704\n116 343\n2364 2909\n3523 6641\n7689 11430\n10210 11800\n3638 12137\n1391 7774\n3613 11692\n6705 9122\n10147 10582\n5785 7031\n1800 4983\n6349 10741\n5085 8358\n1638 7621\n1930 2879\n4607 11207\n1933 2146\n4000 7298\n4815 9956\n758 11092\n7993 8604\n1252 11067\n2585 11973\n13 3404\n1690 4291\n3471 9778\n1052 9650\n9151 11588\n1770 4256\n1196 2978\n2400 3594\n6234 11602\n966 2560\n6341 9714\n3374 11456\n2896 7107\n937 5821\n6155 11071\n1855 5791\n8729 11013\n60 8429\n804 6274\n5626 6173\n2369 8592\n1797 8605\n2371 10565\n6753 11990\n3558 7100\n2493 5759\n3468 8616\n431 9394\n3136 10899\n3326 6848\n3658 6516\n2749 10650\n11279 11781\n1909 2789\n9218 11322\n3102 5444\n7053 7508\n9070 10164\n9714 10891\n2974 11806\n8733 11705\n9775 11168\n1329 5883\n7962 9439\n1164 7720\n5660 8508\n510 5695\n1494 3767\n209 841\n4958 11192\n3199 11753\n6167 8867\n4468 6875\n2499 11991\n245 6628\n4801 9567\n10186 11361\n5930 12154\n6686 7895\n2870 11027\n1004 8720\n8739 9201\n2887 2945\n3454 9341\n957 8965\n9609 11346\n4434 6104\n9584 10227\n5071 8871\n2417 5574\n6056 10569\n7898 10755\n8010 10046\n5942 11532\n2941 7836\n6822 6877\n623 9627\n1303 8253\n813 7246\n325 9516\n622 9489\n865 4125\n5862 12038\n241 8232\n997 2655\n1200 8765\n8457 9424\n1283 2780\n8154 9671\n509 6320\n3955 11837\n5892 7485\n486 6776\n3747 6868\n10545 10747\n1737 5642\n10233 11551\n1461 5453\n2754 8188\n644 6624\n1784 8120\n3098 7654\n5358 8503\n2989 5680\n2240 11861\n3465 6358\n6300 12137\n4228 10008\n1394 7583\n3564 6831\n1590 3298\n2627 7944\n9162 11489\n3275 10672\n2766 9047\n6927 10869\n1882 9337\n1614 7139\n810 2670\n572 1871\n4119 5639\n2878 3472\n3041 11604\n3601 4439\n2469 3329\n288 2962\n7491 8809\n4894 9774\n1994 10220\n3819 10546\n6018 6434\n3501 9241\n6099 10898\n6200 6376\n2011 5104\n961 11070\n3594 12135\n4611 9772\n5230 10426\n7076 8286\n4265 7292\n6904 12071\n677 2951\n4 183\n9732 10992\n3983 7307\n8062 10055\n5566 11200\n1324 4220\n9160 11198\n415 6155\n3551 8503\n8665 10186\n6235 8308\n1016 1174\n3207 4790\n2012 6272\n7285 7580\n4583 6939\n6956 7148\n1569 2375\n5540 6436\n8324 8891\n2812 7284\n2986 3082\n2950 12088\n6046 10929\n669 2557\n447 5734\n6677 8909\n2253 9257\n2336 3640\n4751 5215\n2607 4170\n7885 10401\n1823 2839\n4371 11492\n4662 8196\n7435 9076\n1443 2212\n10178 12043\n9478 11275\n395 8777\n646 5812\n4480 11833\n1057 1436\n491 8704\n2253 10362\n4715 8431\n2895 4980\n1190 2014\n4434 8135\n388 1409\n5661 8452\n3526 11654\n951 8724\n6996 8256\n9813 10597\n8284 10458\n2201 5188\n6960 9938\n1942 4958\n373 12066\n2211 6441\n6539 10025\n834 6669\n4449 7436\n4730 5344\n39 1001\n9328 11832\n467 1554\n506 6084\n8205 11461\n6787 8798\n2418 8937\n3524 4903\n2630 8443\n4066 5289\n11478 11526\n2924 6393\n6389 6953\n5819 10712\n1587 6435\n2293 4377\n4201 4931\n7366 11154\n5619 8827\n1239 8589\n1025 5309\n1527 9671\n4026 6052\n1727 9899\n2109 4358\n180 11405\n8780 11689\n3330 10144\n1985 6889\n4912 8502\n9804 9870\n1959 5881\n244 11392\n5553 11950\n2231 8162\n3341 6896\n1017 9046\n1468 4407\n5122 8076\n7478 11130\n6454 8290\n889 2058\n1720 8744\n4017 11605\n7140 10049\n2288 2600\n6565 8196\n53 5533\n1488 3610\n4162 9067\n2380 9673\n10325 11112\n1598 10623\n2857 4302\n5979 6622\n1455 3699\n283 8781\n10538 11774\n3891 8588\n4271 4762\n2356 10216\n1898 4252\n2937 8327\n567 6618\n6845 10411\n632 1596\n9601 10194\n8751 9239\n1781 6386\n1510 10598\n4418 11412\n686 3001\n4475 9165\n2408 7530\n7010 10156\n5797 11357\n3633 9057\n3825 8710\n603 9309\n1026 12099\n177 8243\n3156 10311\n1044 10127\n4061 4825\n4323 6069\n4756 5827\n8868 10567\n4620 9711\n918 3112\n5828 11676\n9313 10853\n5925 5927\n446 461\n3241 10670\n2519 11515\n14 9128\n132 3673\n5335 8578\n4922 11609\n2257 8491\n6738 9572\n9373 11212\n7415 7816\n7028 8890\n4867 6367\n7371 9956\n203 765\n699 1489\n4577 12193\n5965 11871\n4792 11370\n2025 9692\n4512 5033\n8246 11798\n6408 8148\n6651 9096\n5435 5704\n11349 11865\n5963 8177\n3161 8140\n2530 4175\n9894 9956\n1723 4962\n9616 12115\n1489 8630\n315 10488\n3804 11525\n2904 8813\n1152 10536\n2381 3116\n9024 9153\n1249 4933\n2458 5029\n6037 11669\n9735 10903\n6625 6659\n879 3590\n468 1601\n5867 7499\n4344 8985\n3995 4614\n10140 10554\n2488 11352\n3227 4972\n5011 8081\n4669 7432\n2532 7010\n3369 10110\n1724 7974\n2289 3417\n4357 10067\n3045 11159\n4417 6728\n1669 2216\n3568 9527\n8680 10966\n2221 2674\n2433 7577\n5800 6454\n4458 7965\n2591 6761\n11460 12027\n7853 8557\n3358 4904\n4261 5020\n2979 11948\n7778 10550\n2373 11937\n318 8316\n4290 11754\n7535 10461\n5386 7804\n3072 9881\n78 5482\n4571 11020\n3120 10994\n3220 8006\n1430 6427\n2836 3073\n8637 11638\n895 4587\n2355 5689\n7654 9856\n1617 3493\n9188 11256\n2736 7093\n3362 7881\n5140 5557\n5035 9275\n841 3563\n1281 5635\n1553 5567\n2567 2991\n3133 3527\n5987 11276\n1433 10175\n6466 10034\n5159 9082\n144 4209\n4466 7261\n2827 2976\n6851 11037\n1594 7932\n5700 7985\n3874 8911\n940 8436\n7874 11654\n2984 4145\n5432 11866\n6442 7542\n4492 7561\n7261 11679\n437 12171\n829 3277\n4893 6398\n3953 7335\n2431 11175\n3471 8245\n333 8343\n8636 11679\n2871 11534\n185 6024\n3452 6057\n4818 9444\n7806 10423\n9850 11483\n720 5077\n2790 11766\n5461 7660\n3385 9679\n1747 7562\n1281 7703\n6012 10560\n1806 11920\n3506 5516\n4266 10495\n3640 6755\n491 9180\n2202 7773\n1835 5781\n1624 2010\n8775 10568\n1796 7508\n10006 11116\n2560 9877\n2462 9709\n3589 5224\n7147 7555\n7545 10678\n7365 7379\n1159 10207\n2577 5503\n5283 5615\n622 4220\n1111 7071\n7492 9201\n5247 8563\n23 10268\n1724 10056\n7201 10986\n3647 4853\n1899 10760\n1249 10653\n105 1965\n3507 10695\n3394 9920\n144 1239\n7001 12080\n4248 11611\n6303 8360\n1845 3216\n6272 8075\n3350 10572\n2571 8834\n8883 11735\n2357 9578\n91 5599\n1647 10588\n3931 5649\n6013 12133\n2948 8723\n1629 5810\n735 10373\n591 9607\n528 2359\n3743 5605\n4179 8959\n2383 12033\n3112 9324\n6096 7282\n1342 6251\n5438 9143\n3324 7720\n357 3699\n4099 5114\n1166 10809\n816 4423\n1233 4154\n3575 10347\n1331 10350\n6838 8542\n5499 9429\n3908 3926\n853 8489\n3945 7490\n2587 4683\n2042 7196\n9168 11968\n6340 7456\n5379 11313\n922 2582\n5046 11895\n6982 11962\n4163 4392\n10440 11617\n6312 9045\n491 7467\n9625 11833\n8816 11009\n3985 11869\n1234 7475\n7570 9774\n2082 11600\n6292 6669\n3258 11854\n1006 1113\n7064 9075\n112 10994\n3301 10592\n9433 11616\n8165 10631\n1200 11835\n7274 8451\n689 11736\n3714 3909\n2335 8012\n1170 5646\n91 3297\n2801 12193\n5206 11211\n2051 4784\n3283 6641\n7861 8155\n8674 11844\n5546 9731\n6935 7756\n131 11153\n11781 12024\n140 6440\n1845 2754\n1595 4278\n6152 11376\n4961 9023\n2339 5002\n238 9426\n9497 9644\n5177 6331\n6119 9406\n2575 7343\n766 3656\n1591 1948\n6736 8901\n3529 8513\n1689 10559\n10168 11416\n4953 6868\n4481 6129\n10384 10458\n3064 6856\n7987 11757\n2154 11479\n771 7527\n515 6275\n4198 9071\n5727 7901\n5592 12059\n2782 11203\n3792 5413\n1399 12178\n9729 10391\n218 6328\n776 9665\n536 2335\n5872 8534\n3198 10316\n2258 9243\n3864 6434\n5732 7273\n6773 7931\n6887 11667\n3457 7063\n90 857\n5985 6555\n11941 12147\n3157 6751\n1066 5264\n1618 10908\n803 10617\n691 1527\n11672 11686\n299 11756\n9514 10902\n4094 9623\n5444 9829\n4347 5288\n5813 12017\n3987 8831\n3958 10803\n1844 8972\n8900 10498\n4761 9669\n719 1846\n6041 11237\n6901 11848\n1847 11155\n5317 8749\n4787 6767\n353 3167\n8769 11206\n4509 5140\n3508 6368\n10180 10253\n2368 8242\n1305 2298\n2332 9793\n2999 5596\n5788 7976\n5581 10994\n3392 11864\n3814 4928\n8381 8457\n2288 7630\n1763 7607\n6864 11603\n6411 11377\n7758 11841\n8750 12017\n1986 8855\n4102 10968\n3872 6047\n1629 9096\n6355 8325\n5697 8972\n4082 8191\n3505 3773\n7292 10555\n3362 5006\n7584 8106\n4554 12061\n8088 8452\n4456 10793\n248 11369\n4269 10395\n876 3900\n713 12191\n9408 12060\n2949 3097\n8427 12152\n9148 10375\n345 1543\n1719 11875\n4181 5888\n2702 10045\n5708 11885\n721 4021\n2977 8865\n1934 11121\n442 11603\n3175 7904\n2312 3813\n2436 6185\n1146 9500\n8578 10556\n1222 3546\n5661 6380\n6225 7640\n7957 11648\n3359 5496\n5589 9068\n8696 9874\n2665 7530\n1358 11511\n5292 11653\n4011 10378\n4460 10793\n9494 12193\n968 11911\n1238 10233\n2775 9637\n1370 5357\n361 3831\n1039 1283\n418 1002\n8562 11855\n3416 5709\n6692 9342\n7520 10903\n4756 6825\n2816 9980\n1963 9602\n2702 9874\n2864 3265\n2062 9941\n6429 7547\n9459 12159\n10043 11911\n2280 6510\n8329 8561\n3461 5318\n5198 5599\n5011 11345\n4082 10040\n6649 7925\n6248 7842\n412 11653\n7493 7696\n4633 5925\n6594 7477\n4043 11760\n3028 3144\n4545 5026\n8530 9108\n2527 5581\n3475 10371\n1640 9623\n9568 9843\n1688 4073\n3674 11741\n7482 8173\n9761 11542\n1511 6983\n1261 5058\n7130 11019\n1403 5318\n8600 9650\n10220 10710\n5290 7879\n7172 8734\n5472 8393\n2681 3624\n2683 6398\n216 3638\n8056 8681\n7189 8891\n4472 5652\n4710 7655\n6860 12140\n5484 8110\n3361 10165\n493 8053\n4408 12061\n2908 8061\n7094 8071\n2021 3581\n1440 10963\n5453 11445\n2339 10712\n10705 11652\n301 591\n11216 11720\n610 765\n3448 9799\n4355 4476\n2971 10690\n2515 2747\n1190 7250\n5639 8781\n2781 4390\n2779 7738\n1536 2448\n3999 12014\n1777 4923\n3319 7735\n2042 6940\n1940 11446\n7860 8410\n20 9728\n4148 9605\n4339 9894\n1142 3949\n2211 11070\n4970 5163\n9335 11808\n1659 4175\n3059 9589\n9094 9627\n233 1942\n1679 5938\n4771 9500\n8932 9630\n5295 8119\n161 7847\n1794 3467\n8946 9164\n2601 7370\n3670 10956\n4588 11045\n3019 10309\n3434 11133\n3842 8713\n516 9842\n1511 6948\n720 8121\n8765 9549\n6412 6445\n6647 7779\n4989 10748\n2419 5584\n2629 8014\n2283 6973\n659 11252\n1742 4242\n1774 11519\n208 12154\n1056 12092\n2 4079\n3388 7620\n7034 7861\n2233 5811\n4316 9906\n671 5924\n3514 4266\n3620 4429\n1116 8340\n1884 10894\n8758 9329\n7152 8800\n5769 10444\n3010 9613\n6908 10617\n1267 1535\n237 9133\n1866 10308\n4135 9127\n10375 11675\n2673 6027\n2502 5171\n3471 10134\n7782 11166\n4644 9557\n7507 11999\n6105 10728\n6970 7201\n2310 2754\n4643 6148\n2870 11317\n3503 3812\n4249 11525\n298 7607\n11017 11617\n5863 8784\n7698 10873\n1066 7737\n11002 11135\n2276 8735\n155 8337\n949 7705\n7170 10935\n2646 6581\n9410 9896\n6063 6738\n11312 12009\n3028 6194\n629 8254\n854 10587\n2449 3792\n2526 11990\n9794 11179\n11386 11989\n4038 5711\n3372 5545\n5611 8434\n1778 5907\n6844 10721\n7966 8378\n2304 4941\n8578 9665\n3447 10881\n1438 3454\n487 1389\n5398 9312\n707 1991\n3169 7238\n2232 10575\n6321 7052\n4363 5621\n4079 11451\n2083 6596\n2164 10722\n2754 5875\n3548 3646\n598 3402\n2432 6274\n1948 8044\n6230 6873\n3424 11301\n4231 6955\n8110 8973\n4257 10766\n1859 10857\n930 8266\n614 11393\n4685 11933\n1101 9648\n8066 11274\n2277 7887\n8571 8808\n4434 9578\n1907 9741\n7227 10175\n56 3263\n8677 11434\n3768 10176\n848 4722\n1123 1415\n5911 6975\n10210 12153\n3986 4442\n6836 8109\n377 9062\n7051 8140\n3324 10609\n121 6368\n1850 11571\n4110 9883\n8291 9067\n997 11876\n8063 8694\n3161 4968\n5961 7234\n12000 12058\n221 4832\n6514 8198\n6731 9630\n8623 9127\n1937 9170\n1930 7373\n8612 11756\n4403 9375\n5771 7418\n4178 11360\n1271 10580\n9923 11860\n1107 7339\n4900 12064\n7624 12029\n2726 3835\n2490 8346\n185 4258\n3150 7227\n843 3677\n4708 12123\n6170 9082\n2023 2952\n3997 5946\n3583 7060\n5479 8435\n8371 10468\n2450 4125\n4079 10281\n9195 9496\n2640 3404\n8129 9632\n2541 10662\n483 7333\n9202 9937\n173 791\n2320 2436\n925 5046\n6664 9247\n10415 10928\n4438 9961\n827 4491\n1954 7966\n399 2433\n4890 7286\n5591 10188\n1817 10193\n3965 12012\n1394 4229\n7674 9486\n588 8931\n6419 8834\n5018 7443\n5707 8848\n5640 6536\n544 11284\n4361 10864\n2847 8084\n892 11388\n317 2443\n956 10766\n2607 2802\n9499 10899\n9390 10171\n6559 7591\n4503 5204\n8597 10633\n526 5933\n1991 6860\n1001 3370\n2422 9140\n6508 7785\n4289 12082\n2019 10323\n143 1737\n2176 9045\n1549 3769\n6578 8017\n4294 9222\n1715 8235\n1230 4164\n1317 8257\n5201 8907\n4083 7219\n1114 10793\n5896 8172\n5188 6218\n4786 6605\n4522 8552\n178 4579\n4132 11467\n5585 10298\n2370 11572\n5759 5948\n5924 8236\n4057 5766\n3919 6984\n3732 10954\n3359 5234\n3879 10229\n3432 7549\n1368 11509\n4059 11398\n11024 11936\n4553 9794\n2714 10497\n3945 5081\n3985 4953\n9721 10032\n2702 6584\n3094 3664\n1044 8792\n1802 1840\n5814 10556\n966 11953\n8860 9732\n47 5833\n1567 7359\n5306 8007\n1911 5097\n5118 9734\n2189 11338\n1219 11223\n4205 4958\n2723 8021\n2551 12001\n2955 7282\n1931 7713\n1757 7840\n4955 7087\n8884 9808\n7180 12077\n4834 8567\n2057 2890\n5261 11490\n2277 3524\n5063 7314\n692 3454\n5145 6720\n2698 3380\n159 11596\n1814 3792\n1355 10014\n105 12011\n2919 5159\n4415 9262\n2288 11980\n8950 11834\n2311 7135\n2409 8937\n1332 3341\n3906 4427\n5518 12083\n3030 7846\n7703 11253\n2518 9079\n3206 5950\n1502 11892\n8371 10915\n3457 10258\n5706 10153\n1931 3605\n1091 10334\n493 11156\n8144 10729\n11017 11779\n627 12038\n2472 11644\n2203 8388\n9241 11121\n3746 9810\n5942 10870\n6410 6832\n9447 10912\n382 6479\n1816 6708\n2021 2434\n9100 11063\n2133 5583\n6747 12152\n7511 9616\n1104 4278\n182 10221\n6986 12159\n154 8274\n1572 8793\n1106 4287\n9075 10021\n5596 8147\n4679 12175\n1378 9471\n2775 4517\n1784 3716\n2219 2685\n1546 4877\n2514 5570\n5572 6453\n4542 6312\n2486 6564\n8615 9286\n8105 11059\n6752 10061\n11202 11337\n2900 4008\n5316 11761\n4489 11516\n2117 12183\n2764 10329\n288 10696\n4068 8797\n82 466\n4127 5113\n5415 11682\n2358 10198\n565 8076\n1097 5641\n5742 10480\n4436 8995\n5673 9444\n2276 4784\n122 2482\n11932 11936\n5182 6235\n2049 9745\n3351 3426\n3722 5210\n6853 8632\n1797 9722\n4268 9374\n627 8206\n5157 6275\n2353 11523\n6839 8149\n6769 9357\n1490 3043\n131 10379\n5531 6532\n4443 8326\n319 7439\n3304 9409\n9808 9829\n1598 7518\n7243 7933\n2905 12029\n2966 3841\n9659 10843\n3061 7300\n2151 6558\n1640 9784\n4231 6131\n1472 7353\n1228 9769\n3040 8522\n4700 9813\n1089 9139\n5637 6370\n1328 2497\n4090 4140\n5131 6920\n2144 7220\n4596 10539\n2212 8912\n3010 5379\n2689 4576\n4670 11758\n1025 4332\n5393 11396\n4338 8072\n266 3056\n2811 5189\n7427 10749\n1627 4984\n3653 5889\n3164 9444\n10179 10904\n4243 8566\n6319 11251\n4462 8530\n6470 10465\n4455 7654\n10393 11422\n10231 10445\n4866 5689\n571 11016\n1735 9212\n6744 11238\n159 9469\n977 10707\n5885 8160\n584 8100\n80 7415\n2869 4343\n6548 11268\n3169 10284\n176 10041\n2423 7891\n3255 11110\n5321 12121\n6830 8518\n9304 10974\n1680 8403\n8021 10394\n3732 5696\n1216 6520\n6437 9885\n5811 11202\n5084 8921\n6243 9534\n5803 8005\n8669 10569\n5381 10979\n933 8493\n5190 8045\n7087 7681\n5417 9150\n3697 5157\n3462 7610\n6492 9893\n8662 8987\n5228 12108\n5884 10485\n266 10320\n7111 12068\n6080 6131\n5854 8335\n844 2853\n7913 8960\n1885 4267\n5132 9973\n2266 7850\n3848 7820\n1932 9815\n2490 11999\n18 4176\n3596 5248\n5852 6828\n134 8898\n1464 8512\n457 11888\n3264 8750\n3082 9230\n11526 12046\n7198 9564\n942 7907\n4897 11788\n3211 12156\n1209 7079\n251 302\n6255 12173\n4253 8211\n5941 11843\n8043 11482\n4487 7124\n3748 7104\n6201 10790\n7597 8701\n5076 10560\n7293 9914\n552 5184\n7157 12105\n1660 4045\n4546 9817\n474 6649\n4608 7758\n5073 6036\n3252 11628\n3066 12009\n1617 9908\n8442 10751\n2971 4899\n1377 5491\n5123 5278\n8348 10074\n4480 5313\n1745 2195\n6484 9022\n9933 11592\n2406 7275\n8914 11937\n2369 9728\n1033 1569\n574 3997\n8165 8518\n2822 3226\n1621 11557\n171 3724\n3073 7305\n6828 8733\n4264 9449\n1017 7680\n5926 11258\n4876 9308\n1046 4638\n226 9155\n9447 11774\n7525 11844\n10889 10965\n2692 3967\n2155 9383\n105 2538\n6876 10907\n4463 9248\n3081 10614\n4259 10957\n9616 10810\n2163 2438\n2819 9752\n1081 1954\n6291 11670\n1912 8687\n4094 12151\n521 9030\n7287 8777\n3054 8201\n3330 7882\n4893 11819\n2454 11254\n5450 10061\n5971 7750\n2761 7082\n4122 5413\n7491 10652\n174 10524\n5213 7055\n1674 4288\n891 6756\n2074 5855\n11738 12011\n2078 9410\n3178 6286\n2147 9298\n6947 7114\n853 7462\n174 10672\n2421 7870\n1401 4083\n8095 8755\n1456 11225\n846 8283\n2836 11933\n2869 12194\n5514 8611\n6091 10738\n5417 11118\n5695 8414\n2139 7080\n5647 10511\n2037 10461\n950 10200\n3397 8870\n4255 4538\n50 3949\n4442 11386\n379 395\n3811 7667\n4565 9870\n8906 12087\n3654 7964\n9333 10397\n2908 10923\n125 541\n10617 11784\n4399 7221\n6499 10062\n1043 4384\n2322 5923\n1666 9582\n4594 9860\n1778 6543\n10689 11376\n284 4556\n5388 11058\n7222 9951\n952 3563\n485 3450\n1914 2106\n9715 11300\n2006 11330\n2042 3518\n2488 11770\n761 3893\n831 9945\n556 9422\n6304 11675\n680 12062\n323 2362\n5721 10386\n9340 10579\n8915 9658\n5141 8620\n6861 9764\n7315 11351\n5865 12022\n18 1222\n2430 3157\n1572 4414\n4596 4883\n4048 4518\n3208 6511\n3868 6627\n2829 3336\n7225 10202\n5441 9857\n8175 8866\n7594 9760\n4876 7180\n828 12064\n9129 11012\n3469 4475\n6506 8612\n8486 10704\n256 6968\n2241 6242\n1021 4869\n1270 4743\n4324 5261\n6155 11223\n5391 12191\n5345 10713\n1079 10020\n1934 5692\n9298 11001\n3820 10288\n3577 4325\n1812 4918\n8688 8703\n1024 2134\n4737 8817\n1164 10542\n3325 5803\n1221 9538\n1827 6982\n10441 10619\n11780 11890\n3265 7160\n5568 11291\n2040 10175\n3800 3876\n5213 8120\n7111 8466\n8885 9413\n3327 9012\n8155 9757\n5011 10578\n7027 8793\n1519 5405\n2938 2943\n6331 12022\n5994 9106\n5910 7840\n9718 10343\n1349 4974\n2054 7657\n3280 5503\n1218 11251\n2286 2629\n3078 8898\n2463 7653\n8661 10261\n4697 5833\n4377 5639\n1365 3862\n1626 7880\n7162 11295\n476 2188\n2950 11951\n956 2640\n243 4937\n9812 10699\n6325 6493\n10530 11561\n2285 2516\n7733 9728\n9019 11974\n1045 9243\n2282 9792\n2353 4725\n2704 6519\n5968 10841\n557 10804\n1318 2385\n3925 4824\n760 3596\n2867 5653\n8842 10995\n1936 8189\n7443 12091\n760 3028\n3329 7165\n4923 11996\n139 6642\n6883 9797\n2617 10950\n7447 7493\n112 11904\n10200 11367\n2753 3892\n3569 10366\n4525 4653\n373 5355\n1062 4048\n893 8230\n472 1247\n2120 8675\n5046 11662\n8026 11558\n3176 5406\n378 7139\n2702 10355\n587 10158\n9721 11485\n1167 11229\n556 4462\n6287 10753\n4079 4431\n2468 5673\n6538 8478\n5317 9433\n33 8316\n476 11757\n9203 11439\n4558 8804\n127 7247\n1368 3618\n242 11477\n1649 7401\n5751 6789\n3905 5702\n3156 4321\n5716 8168\n385 4404\n1152 12048\n4084 11686\n5394 8733\n2721 5910\n1815 10145\n6331 6827\n8112 10965\n6493 9002\n2797 11511\n381 1984\n5234 7335\n827 9771\n2383 4250\n10246 10900\n4965 10812\n3261 8872\n7912 10972\n1280 7732\n8482 10781\n3751 8554\n640 4997\n1063 2427\n156 8539\n1081 3681\n1332 9617\n2441 3790\n4102 8071\n1181 11732\n1935 7859\n4406 5326\n9288 11659\n11205 12048\n1319 11088\n267 2217\n2531 11156\n642 8726\n3260 6775\n5211 5687\n3405 3456\n1874 11541\n278 10491\n2978 7987\n3669 5145\n3676 9980\n2498 7603\n328 7907\n11958 12103\n601 4770\n9729 12152\n3169 7618\n3540 6826\n814 8424\n2012 2769\n3722 12097\n1871 8210\n3378 7654\n2621 5108\n4006 10045\n10467 12051\n653 1875\n4951 6220\n954 5155\n485 1875\n8647 10482\n5266 9230\n4102 5194\n4222 5583\n8905 10746\n7415 11137\n814 3244\n5521 11604\n5072 5365\n2743 4680\n5402 9602\n3027 6206\n1716 10979\n6452 12151\n1593 7109\n4152 5282\n7951 9105\n5256 5965\n2100 6547\n1250 10533\n4773 6554\n2474 3383\n1742 11496\n8343 9013\n6544 10098\n1727 6521\n2591 3373\n9562 10755\n4770 5863\n1217 8827\n3788 4625\n8070 11515\n3369 5223\n3939 4490\n4065 8267\n212 1846\n4023 7207\n2884 10221\n3593 8034\n3811 7357\n4039 11600\n8483 11561\n4804 9912\n3383 11650\n4003 9990\n7587 7961\n139 9305\n1806 6111\n2767 6096\n5952 10793\n1780 7863\n1450 6718\n3271 3282\n1624 3071\n10212 10530\n9550 11335\n5135 7471\n5932 7947\n7849 8694\n1941 4251\n2964 4153\n3780 9415\n980 4398\n7021 10142\n1569 8674\n6635 7178\n3798 8837\n6186 7883\n3498 7967\n1054 4271\n6600 12057\n3923 5745\n10608 10847\n6283 9800\n5491 5981\n11073 11091\n9995 10765\n7316 10663\n3875 10474\n9222 12102\n238 353\n8040 11756\n9532 10573\n3646 11902\n5344 5619\n5373 9980\n5786 7528\n5109 7134\n1957 6304\n202 5760\n6224 11670\n10361 10596\n3496 5180\n620 5628\n8892 11075\n8354 8888\n1485 4095\n9841 10403\n394 5911\n9143 11959\n7351 10935\n5757 9626\n2885 11615\n920 3775\n929 9037\n9388 11779\n704 4093\n830 8449\n2728 6657\n159 4562\n1574 1749\n5793 8274\n427 3951\n3922 11547\n5459 8922\n3821 10468\n806 10416\n2316 3467\n951 11655\n5007 11563\n757 8657\n3442 8259\n4296 10489\n1133 9336\n4786 12097\n2529 4268\n2675 10374\n6735 6875\n1256 8379\n3192 6265\n1468 11608\n7151 11950\n1213 4674\n3856 8244\n1256 4015\n7238 7554\n2184 9637\n3167 5974\n6096 9169\n1982 8829\n3483 10243\n6508 10047\n6974 9678\n1480 10367\n10417 11250\n4106 7379\n513 6529\n7811 9875\n5694 8611\n2401 9159\n2605 8267\n9 2195\n4753 11745\n619 9756\n5026 6605\n1616 3174\n259 2523\n7427 11549\n4277 11223\n629 4881\n4610 10473\n2557 8245\n2123 10494\n1968 7999\n847 8300\n10007 10270\n3778 8940\n1685 4126\n3752 8634\n1138 10031\n2080 5264\n1783 5144\n2698 10051\n3123 12186\n1406 11187\n1078 7437\n7284 8381\n5277 11589\n3703 7763\n7464 8907\n1920 4707\n1202 6389\n6286 8620\n993 2221\n1244 6884\n7623 8640\n2752 11225\n663 9014\n184 670\n5351 10616\n1690 7774\n4819 7319\n6792 10207\n9914 12154\n4295 7403\n783 2636\n8549 9952\n2998 5801\n1839 11847\n5709 12189\n5770 7341\n1493 4134\n5990 10155\n633 7522\n3104 4947\n4434 7143\n397 10249\n4080 12174\n3502 8939\n370 6404\n1409 4042\n3290 4020\n662 11659\n6584 9573\n5850 6292\n3002 11625\n3834 12013\n5146 11050\n5937 7595\n4090 6951\n6993 10811\n3709 12031\n1129 7415\n629 9473\n2382 11094\n6568 10381\n6415 11030\n4794 11874\n8292 11966\n1773 2651\n9482 9646\n6898 10070\n3332 7882\n3084 12048\n1965 9490\n4881 6009\n8188 11718\n2241 6664\n7152 11716\n2753 10759\n3338 4306\n8345 9778\n4366 6759\n2631 9223\n3075 4991\n5737 9732\n5764 12097\n629 5362\n3588 9600\n9241 10395\n2790 6189\n9848 10213\n3586 4976\n5412 9483\n861 9832\n1771 3026\n6233 11863\n9445 9733\n10633 11675\n519 7728\n1763 9765\n2504 12020\n3556 5882\n3212 6843\n3001 9702\n877 3459\n772 2586\n2589 9984\n10156 11635\n5269 7087\n5199 11138\n106 10097\n6911 9830\n3788 12094\n4022 9745\n6145 6428\n2035 11660\n9698 11890\n762 11917\n10539 10672\n552 1304\n4750 9543\n8965 11336\n3418 7739\n2843 4587\n1674 3808\n3706 8632\n245 5380\n5825 7740\n4992 7224\n4697 7069\n4310 11715\n10163 10902\n4443 9121\n1376 9064\n8254 9756\n197 1134\n1356 7014\n1095 9191\n1529 2115\n329 2260\n2875 4163\n9078 10919\n5363 5682\n861 1976\n989 7554\n7410 10215\n1752 7070\n3289 4488\n1335 4624\n4141 8154\n784 9842\n4313 5186\n6525 11123\n7236 10426\n7098 9315\n5212 7962\n2810 7616\n41 3941\n2410 10743\n1610 9929\n1352 5961\n2557 9579\n881 8888\n3343 10887\n3427 5529\n122 758\n1175 10950\n2758 7950\n3486 3940\n7683 8700\n2563 7270\n6441 11122\n4329 11106\n2564 6656\n3040 8092\n1513 12099\n721 9628\n290 11568\n7584 12168\n2507 4378\n1062 7089\n3675 4336\n7077 9773\n3059 7198\n1951 6272\n1244 7619\n4442 9289\n1173 8209\n985 4300\n6803 8871\n5963 10814\n2775 3899\n1607 7484\n2687 5813\n217 798\n4044 6109\n3848 4034\n7072 7369\n9667 10367\n6008 9704\n5387 7410\n2937 10507\n243 10640\n9714 10382\n1591 6848\n8430 11748\n994 10766\n3903 10859\n5223 6873\n8956 11513\n3577 11654\n5032 9924\n2053 3730\n1374 3938\n8797 10087\n1078 3274\n954 1465\n1462 6327\n818 4566\n6139 6862\n1191 9080\n5328 8302\n7084 11012\n4821 6866\n1712 7687\n466 9784\n142 4456\n4216 5502\n10791 11457\n5035 8736\n8375 10961\n7245 9397\n764 4357\n6404 10780\n1973 11077\n904 4667\n4748 7104\n1581 10900\n6216 6576\n307 2390\n9396 10359\n5689 9058\n467 7702\n2138 4984\n5302 6857\n4796 11604\n654 9294\n1335 11806\n1568 11646\n1510 8991\n5093 11013\n4591 11432\n6489 9096\n5253 7877\n3432 7368\n3188 7813\n11041 12088\n1241 11634\n435 12132\n1825 11896\n1201 2706\n1500 9896\n4 2545\n1404 4609\n359 6994\n8970 11743\n6987 8724\n251 4155\n696 2259\n6224 11273\n483 6527\n5662 7405\n3623 9913\n2450 11777\n3720 5502\n4318 10861\n9997 10253\n1251 8306\n6046 6969\n4651 5721\n4122 4803\n6146 8859\n167 4516\n3066 4115\n1079 4658\n7520 12106\n2322 6029\n4227 6056\n3195 6419\n27 11242\n1740 5718\n780 7291\n4143 4580\n11593 12047\n7224 11040\n4192 7648\n6564 8735\n8861 9752\n358 9227\n4293 9186\n508 4384\n6088 10804\n2442 2783\n10087 11546\n3616 9244\n5620 8064\n9582 12182\n4267 7235\n8370 10450\n10065 11866\n82 8890\n4728 6690\n6920 9622\n9571 9648\n174 9179\n399 9479\n5584 8256\n2794 5815\n4506 8846\n11569 12029\n7003 10943\n661 6148\n4589 7908\n7315 11969\n40 11604\n4657 5795\n2768 4933\n4275 6231\n767 3363\n3244 3902\n1374 7787\n3769 7101\n7204 7312\n8160 10939\n4777 11667\n829 9510\n2511 12178\n4212 6976\n2823 4653\n1433 11795\n682 4876\n5 5346\n222 385\n5192 5485\n1877 11577\n7342 11874\n2455 6832\n2494 5417\n4912 5697\n5267 10952\n2369 7088\n1427 10609\n4849 11797\n2932 11496\n2886 5850\n1237 4457\n557 6146\n3154 8492\n3396 9734\n5188 6411\n9411 11073\n6417 8801\n5348 7988\n3533 4032\n3385 9978\n7005 12172\n1523 7183\n4651 10319\n127 10092\n5840 11512\n2458 8771\n7816 10719\n2909 11026\n8408 11142\n2293 5476\n5581 10121\n2895 7566\n5603 8473\n4533 10438\n9575 11687\n5192 8176\n6141 7218\n6564 12116\n813 3599\n611 11128\n6679 11073\n4388 4584\n6695 11016\n5396 5667\n9507 12117\n8034 9795\n152 12030\n1556 2187\n2087 10898\n6840 9945\n4867 6739\n3488 10783\n1007 8872\n4161 4725\n245 6838\n8453 9527\n4123 5824\n9339 11103\n4136 9625\n9381 10127\n5578 9305\n2011 9147\n1320 10990\n4003 10776\n2176 4323\n5916 7513\n2910 6594\n5086 7002\n3013 6466\n7705 11558\n4177 10923\n3725 4249\n2857 9424\n3961 11336\n4970 9793\n9817 10217\n940 8142\n2055 5257\n5940 9568\n4813 8193\n10038 12099\n4991 11918\n464 4688\n186 9450\n4083 11522\n406 9642\n5017 7348\n3146 3820\n8040 9704\n5455 7344\n5031 8587\n5648 10448\n8690 9749\n650 3453\n3319 11178\n309 6725\n3053 10960\n7977 8514\n10865 12151\n5029 6492\n1424 2392\n8445 9403\n1447 6839\n1112 4386\n5512 5821\n8168 9854\n6104 6131\n1851 6078\n4427 7977\n9201 10130\n304 4639\n10208 10356\n3811 4559\n5063 5820\n2663 6685\n5961 6513\n1669 6485\n5105 11924\n5419 9718\n4170 8326\n8182 10964\n1206 3864\n9100 10251\n6364 9991\n3144 4503\n294 1946\n7506 9479\n7991 9376\n1208 6779\n2654 8890\n2417 5357\n5588 10796\n2676 5862\n2117 2433\n4653 6665\n3713 7647\n7241 7603\n3121 8400\n1348 1571\n6953 8766\n4483 6902\n7877 9148\n3151 6649\n10094 11723\n11056 12165\n5317 7899\n3490 9111\n614 3596\n3923 5025\n15 1809\n6559 7091\n656 6670\n3502 5081\n2480 11135\n7367 9152\n5562 5910\n3101 7641\n7135 10284\n5230 8223\n8050 11847\n617 6157\n3203 11321\n1387 7965\n8340 10959\n4493 5404\n407 1893\n7259 11045\n8127 9518\n3019 7949\n1249 6168\n3970 7219\n32 1694\n5821 9290\n73 8795\n1489 9619\n1635 11689\n5320 9721\n9591 10768\n2886 5975\n6734 10026\n10806 11979\n3714 10191\n4319 5238\n8818 10926\n3085 6599\n3650 10181\n1231 11685\n2225 11882\n6015 7179\n407 3237\n5865 11668\n9968 10388\n5098 7645\n2523 4091\n3752 5608\n4480 5553\n4349 4899\n1268 10300\n720 5986\n3926 9140\n4182 8091\n1119 4276\n4160 5483\n5971 11299\n3942 8888\n5880 10817\n3791 6342\n8955 9440\n5692 6806\n4028 10590\n4148 6701\n2747 4530\n948 4914\n11154 12079\n2347 8674\n3349 8026\n930 7699\n3922 10859\n972 10099\n2845 6656\n5032 10619\n5002 9718\n4547 7891\n442 9845\n2476 6442\n4684 5986\n10443 11186\n3841 5764\n8547 10831\n5666 11529\n2342 3465\n5995 10602\n3047 4599\n10637 11349\n4830 7247\n784 11972\n9510 10598\n1572 1849\n1164 2883\n7760 10978\n5982 11822\n1507 9450\n4643 6564\n3450 4655\n559 5981\n4921 9900\n2810 5538\n6449 7293\n10727 11384\n887 11202\n3625 3767\n5295 8110\n3309 5502\n9575 10805\n5870 10674\n6355 11061\n9563 11553\n3634 11518\n1409 10812\n3136 7014\n2132 7750\n5548 6619\n2657 4407\n4555 11828\n2457 8526\n2568 5908\n391 10942\n2918 7509\n6484 11955\n8118 9720\n5057 7214\n4028 10959\n3365 7972\n10176 11376\n896 5820\n4982 5563\n5818 10691\n7829 11815\n67 752\n4128 10195\n6900 8039\n8169 11216\n8071 11131\n4910 8665\n5472 10220\n1682 3244\n858 4023\n9225 10534\n515 9265\n945 1918\n62 8728\n4930 5693\n2347 8660\n2769 4316\n1327 7742\n843 3650\n3023 6318\n6176 11210\n3228 11328\n1896 10901\n7152 9256\n2835 3384\n2921 5879\n1889 6352\n9447 9803\n772 9953\n2511 4788\n5084 6624\n3544 6197\n5460 11347\n3075 11342\n3089 10741\n5636 6532\n5602 9074\n3803 5394\n5479 7198\n1251 6063\n1726 7389\n11567 11583\n7939 10278\n143 6977\n7163 7469\n1946 4406\n6821 8199\n10100 11507\n2842 8372\n2650 7789\n2276 5234\n8133 8373\n1355 3407\n2080 11434\n135 7342\n7854 8226\n896 9660\n5737 8806\n7217 10697\n6999 8867\n5603 9516\n4550 10891\n1494 5648\n5185 8989\n9429 11830\n2184 10932\n3803 9028\n10819 12053\n870 7362\n4005 11989\n763 10609\n6102 6704\n2471 12154\n203 8672\n2498 10783\n6337 7262\n4338 10062\n1627 6002\n2313 7799\n3569 3852\n4335 10213\n1592 7354\n3089 4888\n46 9185\n7207 9978\n3393 8956\n2517 8994\n2988 10957\n948 3454\n9193 9824\n2837 6029\n248 6915\n4592 9168\n8473 10339\n3775 6328\n7662 11672\n3994 5281\n6301 11802\n1659 3595\n7544 11166\n2608 12145\n2671 6193\n892 9257\n9557 10665\n9165 11848\n7775 9042\n1479 11708\n3154 3805\n4759 9774\n6021 6060\n8077 9351\n199 693\n1963 11451\n1053 2324\n3141 6629\n1718 6369\n4770 5608\n3254 12177\n3483 8057\n2374 2413\n2838 5264\n2298 9038\n1693 8771\n7774 11075\n4662 9006\n10730 11941\n6249 6283\n8261 8600\n5511 8693\n3657 4029\n1553 4972\n5262 8661\n4662 10303\n315 4536\n1616 5231\n9507 9690\n2259 11986\n1383 4204\n5305 12116\n2845 11938\n254 7375\n772 6457\n8101 9091\n8185 9578\n4270 8294\n3555 11910\n6195 8369\n799 4379\n267 696\n6829 8467\n5419 6690\n8575 8897\n1970 4002\n2306 3790\n16 1136\n2683 3816\n601 2656\n1367 1667\n8217 9370\n6878 12147\n6117 8989\n1004 5932\n6466 9855\n746 5932\n636 5101\n5300 7514\n187 8831\n6049 11005\n2433 11586\n3396 5055\n1797 8055\n175 1433\n7045 8646\n8603 11169\n1649 11253\n8187 9380\n2145 11364\n1880 9964\n655 5558\n9374 10396\n847 6510\n145 378\n4114 11882\n7555 10737\n1989 11576\n2218 4505\n7782 8709\n6514 11026\n6478 8648\n2577 10392\n2398 9072\n3454 8531\n2922 6951\n11487 12000\n1053 6218\n29 10714\n451 4590\n3739 9842\n1621 3665\n4698 7702\n667 5030\n9582 10148\n10798 12048\n2905 12062\n8242 12191\n4351 4464\n3398 11247\n6553 10713\n1895 3500\n7858 7948\n304 10584\n7310 11366\n1163 7521\n3186 9561\n6500 10278\n1280 11398\n2003 8502\n5151 11953\n443 9124\n2657 4747\n1805 2975\n111 4442\n1830 6003\n2368 5505\n390 2570\n8658 10801\n3037 8351\n867 11332\n3088 8879\n7828 11157\n1688 8133\n3658 4161\n3920 10600\n2812 8146\n6207 11533\n11161 11865\n2800 4625\n5228 7962\n2672 8211\n99 3744\n8864 10584\n4391 5209\n8231 11003\n3728 4330\n2070 11605\n1711 9682\n2221 10370\n5611 10201\n2606 10719\n4700 5273\n6847 11505\n2047 2792\n6056 8494\n4896 9727\n2259 3714\n542 4401\n1409 8550\n3552 11687\n5580 8176\n4608 8560\n1698 1782\n423 2045\n4477 9156\n4483 6758\n5626 11419\n10408 10708\n3466 5322\n3545 11606\n3431 8230\n4529 4891\n6604 7262\n2788 8026\n1468 10867\n1223 10381\n681 1415\n6363 10665\n7693 10340\n709 9037\n414 2776\n63 9350\n9481 10419\n373 669\n9020 10638\n9511 11921\n3028 11331\n8415 11548\n2377 10379\n5406 6967\n1464 12192\n9619 11515\n1844 3752\n87 383\n154 8498\n8030 8537\n6161 8070\n1896 4006\n6551 10042\n8139 11646\n9921 9999\n1890 4563\n6964 7379\n2031 6554\n1454 3231\n7763 8328\n4346 9102\n2153 11178\n1021 7741\n1262 6828\n6904 7553\n5347 8739\n6627 11493\n8090 11879\n4222 10409\n6201 9024\n1260 10225\n5072 7649\n3147 8307\n394 8616\n4330 5577\n4263 6951\n9565 12054\n2542 8040\n4923 6199\n10009 10989\n3327 9445\n1954 8358\n1180 2447\n6728 9833\n4954 6568\n351 1928\n6495 10207\n5426 5479\n5690 12032\n4463 10432\n7891 10889\n7879 9839\n3811 6612\n2067 5821\n7412 10841\n4055 6556\n314 4874\n4427 9723\n9678 10326\n6233 7561\n8843 10337\n4099 5955\n6421 6717\n881 6580\n130 3435\n2565 4058\n1442 7302\n4247 10304\n2458 6487\n7138 10863\n4322 8855\n6063 10241\n6704 8273\n580 879\n4658 9225\n9231 10290\n3741 5894\n5918 11793\n16 9980\n3529 7592\n3647 10619\n4528 7072\n3315 4813\n109 8931\n2608 3187\n2823 11242\n3668 3905\n8525 9102\n1059 1979\n3788 11334\n3466 3943\n7463 8340\n2094 9628\n6156 7907\n4477 5785\n8833 9750\n1808 2162\n1177 4937\n831 11923\n1036 6558\n3030 10089\n4001 5433\n2595 11824\n7301 9264\n3361 4810\n297 7972\n4966 8820\n546 1632\n3471 4973\n3608 8065\n4232 4954\n1499 1874\n1542 4936\n4906 8119\n1300 5590\n393 8499\n8901 11208\n3096 10727\n4078 11622\n4038 11841\n8402 9766\n842 11249\n5258 9957\n1474 6509\n958 3615\n920 4634\n3814 4294\n1751 11706\n1700 4430\n7117 10920\n6093 7568\n2440 2469\n7120 9688\n4423 5576\n436 4653\n4257 10445\n893 4441\n1222 2643\n64 5394\n3745 8239\n5165 6161\n957 3483\n5616 9192\n4290 11503\n2742 6599\n5342 9162\n10848 12062\n7466 10264\n8662 9181\n7193 8979\n3179 3909\n2861 8952\n5484 7464\n3911 8580\n198 5936\n6739 10216\n895 3309\n7369 9725\n797 7236\n4857 11613\n5458 7552\n2303 6834\n2343 3709\n1232 9845\n352 8409\n5090 11847\n7447 11340\n4063 4747\n807 7113\n4119 11233\n5901 9617\n6139 7776\n3248 5454\n23 7691\n8381 10831\n862 4242\n3542 7116\n3900 10748\n5771 10128\n4207 6754\n2182 8328\n4017 10924\n4351 7830\n1154 7377\n823 9640\n75 1750\n4217 11536\n1626 9688\n2890 3241\n354 8947\n11606 11902\n873 6743\n5319 7140\n3753 7855\n2640 12040\n2783 6995\n254 11800\n281 11530\n5217 10416\n5712 11015\n782 7817\n1971 4893\n2189 6817\n5498 6453\n5120 9125\n31 1252\n4915 9662\n321 8868\n4610 11111\n1912 9425\n6077 7758\n2146 11271\n5159 8359\n1364 5738\n3603 4353\n2593 8765\n657 3907\n10938 11808\n5445 9913\n10121 11285\n4550 6793\n5105 8202\n1910 2663\n6093 11087\n3424 4082\n973 5656\n293 8786\n279 9658\n870 10085\n4177 4246\n6540 7765\n3894 11477\n6441 9006\n1762 8659\n7566 9827\n1369 11913\n6737 7554\n7154 9990\n4341 6568\n383 5096\n2460 8279\n1269 7763\n1346 4959\n3621 7153\n4845 5607\n5231 8145\n4412 7781\n2424 9110\n7316 9440\n7993 8317\n6862 9662\n2537 10375\n11244 11888\n2475 9771\n5137 7999\n4792 7299\n6815 9436\n2362 7781\n9802 10527\n2866 3288\n1420 6936\n2445 10506\n2891 7160\n5359 6108\n2647 8627\n7671 7992\n5719 8212\n6004 11031\n3222 10434\n5895 9674\n1243 7922\n7064 7200\n4656 10550\n402 1865\n2163 3811\n8392 10827\n6477 7391\n6494 6503\n1778 3978\n3373 10046\n2693 10179\n4630 9418\n627 2446\n1211 8946\n5776 6682\n196 7517\n8984 9708\n3828 11458\n7389 10292\n7641 8370\n4304 10404\n8231 10855\n4610 9514\n3558 7461\n5463 12049\n6327 7443\n3414 11120\n906 1669\n1209 10847\n5756 10003\n7861 9166\n4683 11867\n432 11294\n4674 6181\n4635 8828\n488 5980\n5895 10338\n2520 5424\n692 9804\n4372 10481\n1961 3962\n2603 4772\n5602 9978\n403 2770\n661 5840\n2435 10552\n5241 8217\n6381 8006\n6911 7382\n2223 9556\n515 3975\n4261 7268\n1911 6383\n313 6865\n3970 11128\n5889 6569\n4315 11273\n6566 8014\n7353 8705\n8296 12094\n4514 5469\n4501 5845\n1009 1403\n8111 9739\n2664 8793\n2984 4780\n5889 9464\n1205 8590\n606 5642\n4425 4585\n2628 10459\n2202 3942\n2735 10813\n2545 4710\n10959 11045\n8163 8360\n534 11386\n2926 5354\n366 9747\n6448 11507\n6856 9898\n6637 7698\n5076 10749\n2132 3775\n2955 8443\n747 3755\n3310 11150\n4214 10700\n1172 7096\n1699 7091\n44 9665\n5154 7507\n5584 9367\n8281 9248\n1417 8637\n8026 11479\n8229 10038\n1329 9485\n3379 7093\n106 1933\n3090 8250\n11250 11496\n2387 11918\n3053 4523\n3659 10501\n1532 10539\n6251 9281\n4566 9767\n5282 9569\n1512 9260\n6779 10145\n7069 8985\n5384 11697\n2389 11315\n5894 9088\n1667 6143\n7232 10979\n4650 11790\n1179 8430\n1516 11093\n8881 11633\n4063 10288\n5351 11449\n336 7318\n4087 8011\n9826 10906\n6155 8528\n9195 9890\n10835 11213\n773 4187\n2471 11020\n10 27\n2501 2614\n4058 6401\n8981 11775\n2122 5231\n1292 2021\n7301 8160\n7230 10189\n4843 10111\n6352 11416\n6245 8564\n336 7587\n4442 8466\n9307 11465\n7814 9031\n2398 10455\n2089 7592\n6511 10225\n9807 11781\n1181 5829\n10786 11083\n707 7486\n3049 3759\n5518 11013\n8724 10636\n432 11864\n9893 12022\n10896 11456\n11402 12139\n4395 7229\n4268 11110\n5516 6853\n7210 7224\n3525 7809\n855 3269\n1378 2382\n4060 5427\n1703 5895\n1544 3352\n7506 8010\n411 10959\n5073 7275\n2964 3687\n4657 7719\n478 4762\n2861 7706\n2553 4003\n4243 9183\n6715 11063\n2698 12058\n319 8154\n501 8299\n11073 11793\n2724 9407\n8945 10886\n7429 8766\n8777 11912\n9447 11100\n7870 9027\n1339 2081\n6608 9129\n625 8545\n7521 10586\n3079 10163\n1271 5999\n4371 10915\n5245 5955\n3130 3274\n3723 4954\n2525 11980\n298 9975\n11294 11867\n4300 8787\n10068 10437\n7105 9087\n4381 6479\n6039 6693\n3191 12040\n2357 4895\n4423 7781\n2258 2637\n1229 9158\n4740 7736\n1198 6938\n3120 10768\n858 9296\n539 7889\n9967 10038\n3467 4372\n4600 8873\n4787 10282\n4562 9723\n5674 8971\n6785 7031\n4455 11636\n2252 5651\n4647 5756\n1396 8240\n1132 4557\n1050 11965\n1903 10566\n8967 9003\n371 6697\n4186 7823\n4360 10627\n9588 10556\n284 6744\n869 7562\n1061 9268\n3161 7321\n42 3165\n4063 8919\n1409 9895\n9772 11081\n4901 9779\n1967 6136\n4213 5321\n900 6714\n4171 11806\n4064 6214\n458 5084\n6900 9163\n5667 10000\n3905 9566\n10615 12113\n2284 11459\n3303 3314\n5780 6062\n532 899\n6567 6791\n8348 11124\n1466 7238\n9943 10553\n9771 11326\n6087 8826\n1599 9000\n2983 8453\n8645 11219\n3654 4539\n5666 7238\n4773 5601\n3590 6323\n9507 11637\n5781 7654\n1546 7601\n2531 11629\n3739 11342\n4243 10864\n140 2187\n2358 3788\n333 3435\n1999 8043\n2491 4367\n5843 8809\n563 7356\n7360 10236\n9025 12135\n2375 4863\n5525 11715\n406 6109\n3695 10173\n2304 9455\n1186 11533\n1564 2070\n7028 11271\n4957 7871\n1460 10450\n2366 6347\n851 4664\n3642 5559\n1398 1593\n6551 8645\n714 1416\n1296 1697\n6120 6316\n8912 11669\n4769 10474\n4480 8220\n1191 4602\n9753 11422\n10308 11230\n4708 11277\n90 8563\n7200 7913\n8209 11433\n1609 6017\n4143 4776\n5147 7890\n3131 3649\n6406 9174\n1161 3169\n1120 5190\n6077 7205\n1825 9246\n8704 11788\n69 11999\n52 4969\n1042 6866\n5468 9205\n337 7208\n5826 10931\n4121 6200\n2526 8441\n5197 9462\n4110 7371\n2604 12113\n1651 7085\n845 8812\n2110 9419\n1064 10562\n1193 7217\n481 5213\n653 5373\n8308 10294\n7387 8242\n1519 2524\n2882 7263\n4266 5080\n10139 12009\n8759 11271\n7102 9559\n3871 10330\n6531 9737\n1298 5577\n1156 11168\n4046 10501\n6210 12015\n3732 7430\n3583 10397\n5182 5370\n2893 7563\n4752 10954\n3126 6939\n5056 8116\n286 3340\n9795 10714\n6401 10977\n9445 9750\n7018 10560\n422 6669\n3739 5432\n4383 8047\n7772 8401\n5761 6193\n4289 9729\n1801 9850\n7049 8036\n7966 10647\n1667 10702\n5444 9771\n7941 10601\n4038 6403\n281 847\n732 9913\n2998 12055\n1264 1882\n76 2250\n1314 1623\n1243 3693\n1875 7119\n2881 10848\n9770 10951\n1365 3208\n4392 9372\n766 1280\n2516 3690\n6467 9420\n1867 6105\n6570 7549\n1197 4874\n6116 9518\n10216 11968\n3174 7919\n4330 8038\n6473 8151\n5265 11994\n884 4029\n4587 6974\n5360 6652\n8567 11707\n6439 10640\n6148 12033\n1020 3062\n10620 11865\n2590 10255\n343 6567\n1268 9652\n568 4209\n1176 2152\n2426 7901\n4974 7565\n111 7038\n4687 8198\n6723 11078\n1260 3045\n1767 9736\n2499 11150\n10825 11553\n4495 10262\n5228 8112\n8390 11650\n5044 7517\n3829 4471\n4182 7340\n5776 6877\n4903 4963\n3358 11857\n5095 8433\n5851 6396\n2959 8212\n5344 7857\n1407 2777\n2151 5694\n2470 9768\n771 11060\n4421 5044\n3686 11405\n995 2511\n2617 7203\n2888 3649\n10287 11633\n11350 11813\n4222 4681\n6493 7450\n3631 9277\n2160 2621\n10063 11367\n5797 8695\n9766 11409\n2520 9380\n9162 11610\n7172 11682\n3964 10679\n1024 7715\n2511 3427\n3334 8282\n2234 6037\n2628 8376\n2864 11276\n943 8102\n1918 2702\n2488 6707\n4510 10823\n2584 7022\n5403 9226\n1531 8471\n6530 8347\n5480 10523\n3069 7447\n6389 7468\n7316 11882\n3739 10549\n4237 11100\n1500 7845\n11779 11911\n8625 11059\n1240 11246\n1683 3000\n4360 9442\n603 4001\n11723 11893\n7691 8741\n3904 8051\n2881 6067\n660 8706\n3110 5877\n1031 11200\n3968 6521\n1005 5932\n938 4208\n3241 9850\n5283 11322\n7317 9169\n8206 9705\n1141 9180\n8768 9553\n3176 6507\n6222 9088\n3561 7399\n10120 11315\n5670 6554\n1810 7488\n7693 8809\n5232 8902\n6225 7312\n5383 6977\n3898 12039\n652 3499\n1011 7928\n339 10121\n10020 10154\n1016 5382\n2723 7349\n109 4803\n2727 7929\n6437 6503\n4243 9266\n6854 10288\n5243 7398\n4760 11254\n9872 11665\n6581 11343\n1124 11418\n1943 9208\n413 4794\n3729 10429\n5202 11518\n2781 3158\n4429 4457\n4915 6599\n7917 9617\n3511 5320\n3719 8344\n4828 9842\n8889 9985\n60 10825\n5604 10498\n1659 7294\n3845 9654\n1502 4270\n3599 4487\n6678 11429\n1028 1457\n585 10157\n305 5314\n2270 4213\n3429 8024\n3562 7672\n6813 8995\n2350 4043\n1601 2594\n5336 11895\n7061 10943\n6471 8685\n4929 10847\n3164 5203\n4018 6697\n5424 11524\n3055 4801\n7373 10372\n1883 12033\n3385 9182\n8083 9810\n3109 6352\n3914 4192\n2298 5950\n3960 8514\n2300 5236\n1059 2069\n4473 5886\n3195 8801\n3400 5733\n535 6966\n3068 7349\n521 894\n2919 7659\n1942 8220\n5998 7539\n4218 5747\n3421 8738\n4178 9703\n6504 8337\n568 8545\n6057 6590\n9866 11663\n6979 9893\n2692 8725\n7488 9556\n4921 9088\n2473 10108\n4395 12128\n1612 2823\n9122 10989\n7716 11736\n3208 5840\n4820 11321\n4461 6614\n1271 6641\n1349 2475\n5574 9419\n5246 11706\n7058 9615\n3995 11405\n10447 12170\n1757 11687\n1664 7147\n6949 11397\n9485 10509\n10027 11340\n8784 9683\n1916 10828\n2981 4280\n980 9857\n6003 11731\n3778 4116\n9917 12048\n10029 10353\n8389 10998\n2767 2930\n5071 10027\n9111 12121\n718 5686\n3056 9200\n1717 7521\n2517 9246\n6307 11534\n2912 11280\n1427 10572\n5668 12007\n3855 10276\n1142 5806\n3145 7408\n1668 2492\n1965 5534\n1883 8284\n5887 12001\n244 5816\n1436 3136\n7015 8923\n510 7695\n6341 7727\n3489 5059\n461 1184\n1923 10251\n2394 5316\n3827 7267\n2068 3967\n3732 8860\n792 8516\n858 7773\n2251 8449\n5298 9620\n6213 8909\n238 2309\n4343 10600\n3089 11578\n3313 6868\n741 2593\n5245 10166\n628 7312\n8414 9407\n5267 11250\n1036 10659\n8330 11369\n3083 7162\n712 970\n4283 11227\n4880 8289\n4561 8103\n2960 9029\n4419 11100\n5775 6919\n3403 7680\n1737 11680\n797 7315\n3237 3772\n9601 9981\n3475 5114\n9152 10536\n7000 9790\n1127 8346\n6255 11406\n8868 10766\n5848 11412\n6020 11633\n3342 7367\n9263 11650\n285 11506\n2645 9944\n5180 5500\n4996 10076\n1402 8994\n1026 1150\n10775 10974\n6876 10095\n7387 10436\n6496 9852\n8160 10886\n4654 6776\n2701 9778\n6855 9429\n327 3457\n7758 9783\n2545 11066\n6570 9782\n8498 11483\n4391 6458\n10798 11348\n5385 11286\n8964 10816\n2111 10335\n4330 6187\n5922 9187\n904 8303\n6542 10321\n10577 11778\n1425 8642\n1427 8632\n11 8781\n817 11758\n3361 11216\n757 2387\n1249 1533\n9062 9427\n2997 8224\n180 4432\n8980 9306\n483 6840\n2260 12026\n391 10728\n8313 10506\n3950 4459\n3382 4145\n5229 6924\n1733 10371\n5944 9299\n10332 10701\n2397 12083\n4868 7690\n5635 6366\n2139 7323\n2419 8228\n5789 6640\n6990 7041\n5991 6372\n240 4018\n7067 9787\n4384 11385\n7214 10743\n4328 8199\n2231 3430\n6994 11294\n7115 7788\n2531 5929\n804 1392\n399 1903\n2061 4128\n743 8790\n1384 9940\n2688 3426\n5731 10399\n926 12101\n4740 11967\n2016 6804\n4117 11193\n4998 11939\n6771 7239\n4819 4980\n9640 10424\n8302 9247\n5756 6771\n1726 11648\n8393 8744\n5841 11044\n3829 5040\n9689 11732\n1541 7140\n2253 7395\n3222 4800\n2583 10705\n443 1065\n9576 10356\n6276 7255\n670 8097\n11474 11515\n5164 9777\n4320 8672\n8864 10442\n3328 8937\n5152 7918\n3344 9979\n900 11278\n5420 7948\n1651 4701\n11185 11473\n219 8170\n5544 9654\n2975 10760\n1955 11850\n3163 9976\n8158 11454\n931 4214\n2134 9106\n4974 5794\n6075 10397\n3538 7538\n600 9764\n8282 11116\n3939 10898\n1597 2859\n4407 9916\n4428 10732\n6476 6806\n1989 9343\n2115 9316\n355 7514\n9939 10814\n2615 7338\n2288 6871\n5935 11034\n4345 12103\n534 1425\n4350 8478\n7803 9388\n78 1276\n172 5561\n122 7923\n1367 8070\n2590 3173\n10356 11819\n702 3511\n6151 6812\n5689 6069\n4646 10330\n7373 8082\n1620 1939\n6204 6257\n7440 9425\n8462 9769\n3838 7560\n1511 9958\n5333 8483\n9130 9754\n2076 11398\n1499 11493\n2392 9861\n3505 8870\n3531 9819\n4155 10638\n1601 5086\n2443 12106\n2910 5495\n3701 5096\n4646 4955\n1140 5989\n2394 9367\n1308 5877\n3711 7674\n1821 9862\n4123 4172\n6157 6579\n394 8550\n1961 6375\n3407 3812\n64 11618\n8122 10992\n356 1067\n2891 7211\n489 5157\n7044 7962\n1357 10761\n878 8107\n4491 11093\n1803 2834\n2 724\n3191 3623\n2011 6215\n6417 6784\n8525 10518\n1527 5632\n788 1019\n7149 10680\n3366 9385\n3929 5334\n5699 10361\n2639 10168\n2789 10218\n692 11452\n1633 4761\n4443 10111\n8222 9975\n2636 6258\n1171 7962\n3259 6271\n6342 8855\n2270 2402\n3359 4878\n6028 7567\n1728 6720\n7591 9048\n5263 9725\n1596 10931\n596 3008\n1005 8404\n5093 8118\n2285 7150\n800 5197\n568 11941\n2019 10092\n629 9976\n1068 8417\n1971 12017\n4520 10870\n3402 11507\n11812 11879\n2515 5864\n1805 6800\n251 10867\n6481 6630\n8087 10072\n310 12177\n1354 3621\n1199 5479\n2560 8026\n262 910\n3908 10805\n1546 9734\n2128 5197\n2635 3386\n8042 10297\n5171 10921\n2368 7600\n4314 6457\n8915 11481\n387 1089\n7813 11796\n3576 7279\n2503 9262\n6129 10370\n3680 10797\n3524 5393\n1080 3618\n518 6292\n1081 11619\n6807 7340\n1656 7966\n6781 10264\n5768 7750\n118 9015\n1422 8487\n2340 7048\n77 1874\n3376 8687\n465 5079\n6992 8067\n2402 6361\n885 2641\n416 6816\n6383 9477\n4306 9724\n7267 7393\n7358 8711\n1684 5905\n4460 4533\n5158 10096\n5505 6845\n5444 11645\n10339 11613\n1900 4961\n1410 2716\n5186 7356\n6070 8135\n8261 9309\n1967 8678\n1079 1286\n10356 11705\n6249 9442\n2147 10014\n4579 11101\n3119 7012\n3751 6923\n566 4012\n209 9021\n2718 10202\n2747 11095\n1785 5607\n8583 10528\n1577 4210\n6156 10119\n688 5732\n1958 11599\n5982 7477\n4991 5370\n3231 11429\n261 4177\n876 10864\n2265 4257\n2921 7463\n1680 4353\n2125 5860\n2159 6181\n1988 9077\n830 11318\n418 4266\n3110 4240\n3932 3989\n1044 7053\n1720 12033\n2603 11420\n2263 5829\n6783 11354\n692 2856\n4254 8985\n1865 10318\n265 6000\n4894 7070\n6369 12117\n49 9223\n653 2428\n4943 10958\n2274 4539\n8389 8799\n4263 7401\n1443 9565\n819 11785\n2077 4499\n1985 3915\n342 9221\n3634 11893\n1032 5405\n630 10068\n4045 4326\n774 9555\n2205 8342\n9656 9940\n2612 2984\n8000 9781\n4725 11380\n2965 11595\n9571 9600\n3428 5660\n4433 8186\n2601 7415\n132 4717\n1703 7909\n8675 9761\n3414 8262\n3737 10399\n3652 8382\n678 3752\n1530 12020\n393 2547\n9931 12045\n3636 8463\n8653 10314\n1773 10654\n10738 11928\n947 3240\n4902 7587\n5344 5923\n5662 11384\n3335 11948\n1595 4191\n9445 11426\n4976 10057\n3089 10110\n4179 4841\n7203 9045\n6829 8773\n3821 3905\n4682 6111\n3520 6832\n6136 6472\n320 6492\n78 1849\n802 1793\n1794 10208\n6964 11703\n3022 10875\n2398 10979\n4033 6932\n1008 8329\n1758 11221\n10734 12113\n1957 7506\n3263 4055\n6250 10373\n137 6526\n2950 8111\n3564 6365\n801 8452\n1589 9672\n5871 8500\n8024 9128\n1187 7418\n7737 11530\n1261 2283\n3267 4037\n559 8495\n3728 11410\n5388 11673\n1380 1723\n6667 11860\n2897 5477\n1839 9385\n468 7903\n5575 5753\n3672 7768\n8282 8354\n4361 7484\n1891 11526\n5852 9565\n2361 3906\n4205 10177\n7238 11559\n9322 11972\n23 5691\n6981 10942\n55 10518\n736 7316\n6436 7923\n4081 8460\n5750 8480\n4208 11828\n4461 5851\n1675 5015\n4071 4583\n8111 10848\n3562 9020\n4014 9188\n5693 6931\n582 7124\n5230 6106\n1297 4786\n6884 10896\n1954 9631\n7810 8464\n1763 4650\n4865 11353\n103 2261\n3715 9411\n9298 11129\n9156 9873\n1915 2000\n2456 11489\n4380 6623\n6605 9010\n1382 3120\n2588 6132\n8107 11132\n728 740\n1684 2325\n2584 4094\n10422 11400\n65 11431\n10974 11272\n5379 5392\n1244 7086\n9176 11696\n7407 10186\n4644 6797\n4883 10094\n3998 9191\n4462 6760\n5561 6487\n4907 9432\n873 9668\n5666 9114\n1884 5269\n479 6857\n1005 8592\n2180 7849\n1299 4886\n1265 8601\n2575 3522\n3203 11885\n3473 4850\n4884 10090\n2657 11713\n3797 5222\n11632 11747\n3855 5683\n572 6695\n718 1793\n1428 6544\n4173 11435\n6923 11588\n4838 6390\n7283 7868\n9914 10659\n2690 11691\n3241 7469\n4064 9264\n9663 10554\n3595 3987\n3460 10061\n3831 9948\n2753 10821\n7942 8780\n5719 10779\n3672 11026\n2694 8192\n429 3499\n6957 11943\n840 6340\n5453 6911\n494 6764\n4282 4332\n5524 11789\n2976 4608\n78 11550\n5398 6712\n5340 10147\n3999 11909\n2890 3222\n603 11635\n1921 5257\n4874 9993\n7885 11381\n10102 10477\n2623 6341\n7470 10836\n6266 8072\n1497 10208\n1229 1433\n5442 11201\n3499 11124\n4057 6895\n985 5196\n6119 7938\n3608 5555\n4880 5728\n2260 10135\n4194 10752\n8339 11454\n1757 6894\n894 9975\n5057 10673\n479 3554\n10886 11565\n3916 7847\n3989 4534\n1801 2666\n1923 11261\n10039 10234\n6710 8558\n3055 5412\n4549 11838\n10577 12180\n1240 5927\n5182 6246\n3261 7016\n5417 9957\n4172 9196\n2422 8922\n1647 4286\n5856 7935\n1271 9990\n6680 11872\n2537 10015\n5033 6768\n672 7990\n2610 10217\n1041 2342\n2449 3020\n2219 8278\n9015 10560\n1993 2709\n5658 8373\n3346 5067\n2071 8292\n4695 11330\n3494 7174\n6574 10166\n2609 4770\n1255 4065\n2909 8893\n394 11629\n1524 9600\n2750 8170\n1154 9990\n6871 11517\n5906 8677\n5221 5436\n2528 11160\n2186 11676\n4710 10114\n172 9761\n9627 10825\n600 8144\n7931 11621\n3203 11301\n4603 5881\n1367 7559\n8353 11071\n987 7920\n2924 8274\n6457 12164\n3187 6915\n1355 2098\n803 11413\n5692 7195\n2975 4509\n2331 4819\n4263 4729\n2088 10791\n4036 6878\n2409 3253\n3023 5640\n5638 7382\n2293 11175\n506 3085\n2459 2600\n7384 11725\n9795 11495\n8865 10483\n2508 5948\n5999 6974\n3557 6468\n6181 10724\n4390 9054\n3150 8909\n6330 10957\n5160 7514\n10437 11808\n1241 5322\n5837 9403\n6479 7665\n2236 5680\n963 11520\n8980 10010\n156 6980\n1987 10007\n2612 7708\n2551 11498\n6506 11032\n6790 8666\n1941 7531\n11075 11364\n7416 11479\n2751 6427\n7236 10547\n1556 8993\n1370 4597\n1171 8931\n1486 11960\n5207 11550\n6836 11660\n4923 5681\n6943 9553\n5796 10664\n5083 7026\n5095 12150\n671 8526\n6877 10247\n4367 6790\n4538 7314\n4672 6788\n4759 5892\n6045 10577\n8882 11779\n6063 9332\n1375 6163\n6197 7370\n1445 4732\n5392 8695\n2665 5711\n7520 7685\n1836 9977\n6705 10523\n3355 5403\n7066 9482\n456 1067\n2775 11590\n3158 9345\n9972 10210\n7659 9399\n898 3989\n2649 8437\n341 9467\n1300 7992\n1708 6609\n3152 9989\n4580 4917\n4255 6221\n1642 4668\n4249 8872\n9617 10531\n7451 7621\n3689 9920\n4743 7883\n556 9645\n2737 5657\n1701 11565\n3511 10611\n2172 9949\n8000 9052\n4532 7367\n9104 12116\n3553 6470\n4375 8298\n3504 11415\n3389 6568\n2371 3348\n1324 9876\n5237 8202\n3419 8785\n2688 11621\n369 10316\n9803 11529\n7546 7886\n2978 11214\n7452 10221\n1256 6705\n968 6762\n3414 10619\n724 7278\n143 9093\n1061 2115\n3182 7107\n9111 9506\n9463 11353\n3807 6690\n583 4264\n2223 11969\n1269 1865\n1829 9560\n7715 9846\n7901 10349\n3676 5549\n1093 9563\n889 1131\n661 8785\n1156 7049\n2787 11927\n6109 7993\n4213 4867\n5488 6493\n8147 9099\n7525 7688\n588 11436\n4955 9992\n5124 5655\n3101 7518\n1091 12196\n6303 8156\n3701 5838\n8387 10424\n1322 6786\n2993 4386\n7349 10940\n4340 11961\n1682 9990\n1520 12095\n9011 10914\n6287 9020\n531 4408\n2762 4221\n1585 7195\n653 5706\n6302 7244\n509 7459\n496 7237\n2777 5192\n7861 8939\n2271 7109\n5946 10624\n4671 10773\n5830 10585\n3174 10986\n5308 8705\n325 6463\n596 9822\n5999 9086\n545 8518\n5821 6626\n2522 3073\n8755 9234\n6419 10025\n6952 7863\n6443 6491\n2129 11571\n2406 3973\n394 11403\n8332 11116\n7119 12185\n2733 6164\n342 10058\n7199 9703\n8341 9331\n1572 11700\n5810 9881\n1938 3148\n3020 3663\n897 1336\n183 4429\n1347 3343\n5694 9783\n398 5369\n7024 11560\n9832 9940\n5810 10461\n856 5709\n2389 5704\n329 2644\n815 7539\n5455 10455\n7165 9698\n182 8130\n8240 11857\n7738 8395\n2149 7474\n2333 7678\n364 2546\n941 10059\n5727 7597\n3385 11622\n4577 6593\n4459 9981\n49 4154\n6823 10193\n5045 7098\n60 11586\n835 9650\n5411 7366\n1948 2296\n1008 11581\n360 11690\n6897 10202\n4615 7749\n2714 10218\n1396 6470\n6748 11879\n4775 5308\n1774 2751\n825 3050\n5011 10814\n9237 11916\n7033 11007\n2846 12033\n2122 6681\n4027 5322\n256 6744\n4886 7543\n1355 4862\n2636 6100\n2709 10018\n10552 11988\n1286 3397\n1293 2906\n1485 9857\n5361 10773\n1160 4911\n3038 11021\n7215 11591\n1226 9839\n1676 10182\n2999 10518\n1296 4860\n5548 10007\n5738 6475\n1439 11851\n549 7140\n436 11774\n6878 10539\n3603 7912\n3448 11320\n3307 5343\n1887 5697\n271 2661\n2197 5418\n10820 12007\n115 5478\n11817 11861\n6967 11457\n888 3617\n5635 11054\n4853 5114\n541 7490\n4535 10580\n5069 11775\n1162 1947\n3850 5732\n7894 8179\n6695 7268\n23 4661\n7655 11752\n5127 5837\n3383 11659\n8363 11061\n8581 11388\n4151 11550\n1348 5416\n2745 4994\n1711 5838\n1966 6024\n287 733\n2841 8525\n3373 6183\n2986 9920\n3202 10960\n741 4267\n4751 10302\n1094 6454\n2149 5738\n1626 4937\n3316 7219\n11597 12007\n9133 9689\n7063 7282\n2986 9464\n5012 10814\n5881 8814\n1851 10511\n2764 8558\n5667 6643\n5580 9482\n4682 8429\n5803 12148\n3403 7479\n177 7988\n713 10676\n2146 4541\n5891 9901\n5240 8608\n7918 9850\n6818 10575\n3150 11033\n5185 9804\n3598 7085\n3896 10557\n275 4601\n1724 3560\n4238 10215\n7549 8837\n1258 7433\n3109 3697\n5012 7378\n1878 10435\n5221 8306\n2666 4764\n2937 9211\n385 2707\n4786 10172\n3861 7943\n5452 6632\n6245 7279\n1356 8026\n6976 8303\n2021 3817\n2457 5886\n4497 6909\n2885 7332\n5762 9747\n5064 10651\n6747 10797\n9966 10943\n6261 11964\n1110 7631\n518 3256\n3888 5935\n411 11142\n5601 7566\n4357 9853\n1572 6084\n217 3854\n2911 8860\n2259 6099\n6366 11311\n4529 9224\n201 1159\n2793 10922\n2278 4856\n207 8823\n3974 8596\n912 2348\n7552 8291\n9029 11629\n1163 2540\n6461 11666\n342 10678\n786 6661\n1331 8277\n5248 6558\n5041 6844\n3859 9685\n4243 7509\n1112 8825\n541 11608\n5048 9388\n8669 9838\n6156 11017\n825 2286\n6979 8107\n3772 8142\n3754 11854\n884 3573\n523 3532\n1779 11331\n4467 8000\n3773 8263\n6977 11821\n5191 6046\n3302 10554\n4557 8229\n9479 9949\n2116 4792\n785 1390\n4759 5297\n295 10811\n4689 4979\n11858 12183\n5665 9031\n6829 8819\n8105 11250\n1442 10685\n1151 4002\n4576 10779\n3516 9528\n4275 7888\n894 4066\n10550 10747\n4193 11302\n2303 10078\n2307 6459\n1729 6817\n11530 12135\n3095 7328\n3497 4975\n1641 3307\n4800 9601\n3244 9348\n4327 7126\n8921 11331\n2336 3735\n3830 7767\n2687 10404\n10797 11033\n4153 5347\n6654 11339\n4875 10221\n935 9446\n335 3730\n7617 12127\n2661 4222\n8877 10894\n5033 5845\n383 11905\n8138 9917\n1561 9132\n1218 3195\n5249 8303\n9831 11088\n6318 10567\n6605 12102\n2333 5425\n10054 11633\n10372 11899\n1316 12194\n2355 6917\n1361 10470\n9805 10325\n2120 11707\n5771 11419\n5990 6922\n3998 6375\n897 5655\n9221 12155\n7041 9224\n5942 9660\n691 7924\n3902 4198\n2225 9806\n2195 6066\n350 2313\n3438 4665\n2906 10347\n6855 8270\n8357 9979\n10459 10931\n7912 11049\n913 4787\n5507 9060\n4834 9532\n2684 11784\n5531 6356\n5195 5690\n3628 11915\n7311 11768\n4736 7109\n4774 5572\n6711 7268\n4828 10422\n5925 8956\n647 8735\n2662 9722\n9615 11122\n3343 7536\n672 8802\n933 5648\n4173 7070\n9346 11625\n1752 2574\n386 10885\n8195 8889\n984 9379\n1848 2105\n931 6775\n1830 3643\n7151 11186\n3645 10352\n11215 11751\n3278 11244\n9923 10508\n3682 7792\n2877 4762\n10813 10992\n1870 5691\n5344 7145\n7960 8317\n3314 6017\n7938 12045\n1526 5110\n3964 5009\n2100 9817\n9928 10686\n2965 7911\n6564 11948\n2732 8037\n7381 9085\n4178 11862\n2816 10062\n5934 8028\n907 4878\n7932 8689\n4323 10437\n6716 7296\n3963 5917\n4795 10365\n3141 9104\n7145 11615\n4028 11407\n7604 9472\n5655 7689\n2505 7993\n2568 3676\n7290 9709\n466 9295\n955 7044\n3251 11753\n8617 9534\n3103 4509\n4596 9764\n1754 2265\n2646 5899\n504 7976\n11054 11136\n9034 9844\n2184 4795\n5969 8759\n649 1156\n369 3737\n169 3096\n5360 7487\n5865 10026\n5333 7715\n1480 3565\n7299 10384\n5326 8637\n9424 12028\n8 11890\n6242 12070\n3065 11055\n561 1268\n3502 5706\n4509 6350\n7449 10326\n1356 4840\n3698 4228\n2787 3723\n4724 8025\n4142 5768\n2541 3227\n1478 9105\n3944 10827\n2247 8662\n418 6594\n4216 6890\n3261 5629\n4541 7804\n8821 11339\n8769 11635\n2667 4467\n9170 11976\n3638 3701\n743 7418\n7200 8977\n5613 8883\n55 7291\n6736 11948\n282 6519\n1288 6916\n4002 11414\n2218 11590\n4899 8307\n10085 10955\n10775 11322\n4409 7590\n1246 8677\n1300 8842\n851 10522\n495 6048\n3657 6838\n1155 10010\n7805 9828\n2610 5272\n2875 11607\n2669 8684\n1906 3099\n5311 7864\n1708 7331\n10152 10656\n858 5973\n1884 4198\n334 5038\n2766 3803\n5039 7524\n1449 10288\n2381 5550\n4600 11727\n1501 8678\n3673 5178\n7582 10990\n4381 4745\n428 11605\n2050 10856\n9326 9871\n3670 10125\n5724 5725\n7544 7962\n5694 5779\n6065 8823\n9053 9784\n7782 11054\n4277 9167\n515 10561\n1222 3783\n1793 10794\n7392 11350\n6265 6387\n3303 3774\n711 5683\n4851 9945\n4437 10212\n1779 4390\n6463 7655\n5168 7927\n1007 1048\n129 6646\n6613 8162\n4718 7682\n4607 5138\n7615 9019\n2985 3038\n7015 10884\n53 3850\n948 2439\n9920 9966\n627 885\n7134 7881\n493 11694\n3410 6796\n4856 9637\n181 8334\n610 10365\n1347 8471\n3553 8284\n9186 12022\n7260 9710\n3326 7585\n6693 10447\n1256 6684\n7327 8199\n7958 8199\n1173 8676\n2808 8074\n3597 7079\n4512 11727\n737 5726\n253 8140\n936 2072\n6893 11164\n1121 3263\n2954 10132\n5535 8602\n3940 4360\n5840 8965\n2437 9720\n499 6156\n448 10402\n4244 11343\n517 10072\n2620 3705\n4922 8161\n751 1229\n4398 7767\n418 1202\n1230 5097\n4858 9737\n5337 6501\n3424 8010\n5882 9196\n1875 10236\n3004 10482\n7545 7697\n4957 9660\n8382 10742\n1721 11490\n6419 7508\n9367 12179\n7752 11588\n2761 9645\n634 11204\n1099 8783\n4011 8534\n2400 7064\n1461 5712\n479 10322\n181 4314\n6152 9381\n3394 6821\n279 12143\n4813 10520\n321 860\n5461 8779\n216 4202\n10539 11026\n1715 10806\n11181 11725\n1640 4315\n8274 8797\n7039 9405\n5242 11886\n6584 10947\n9715 11803\n1657 12160\n616 6977\n6084 9419\n5667 11004\n2093 8068\n4535 11039\n6472 6909\n1745 2258\n6175 6885\n5203 10730\n3023 3379\n8525 8912\n5798 6364\n2770 12087\n7961 12059\n2767 5320\n1923 4220\n5729 10008\n591 7154\n4536 10386\n123 10788\n5749 8600\n8023 10166\n11784 12129\n2908 9291\n7962 9991\n1480 4466\n8351 10322\n2735 8755\n4676 12089\n3223 8723\n8893 10273\n3893 7166\n2884 5258\n5313 8322\n4168 5787\n3234 5747\n1519 8444\n5068 6952\n9267 11114\n7055 11819\n6033 12040\n6766 10072\n4450 9202\n4136 10766\n3673 5236\n9404 9687\n3690 9613\n3950 5637\n2101 6033\n7447 11895\n2821 5087\n3015 12117\n3514 4690\n51 8914\n7372 10934\n4712 6445\n2561 3035\n215 10075\n4400 5317\n974 6021\n4489 5056\n3222 11775\n4321 6951\n3452 11150\n7128 11390\n8164 11660\n4306 5069\n2319 11423\n4460 10445\n1196 2725\n4852 11001\n8804 9313\n557 1156\n6860 9083\n111 4924\n3313 4457\n2083 12067\n930 11555\n3507 7088\n7181 8342\n7770 11021\n1305 5226\n4609 10360\n2035 10024\n5572 12196\n4009 11204\n9333 9695\n1409 9349\n7805 12170\n1254 10257\n3972 11289\n930 8444\n2175 11273\n5297 7643\n3376 11390\n384 9825\n582 8945\n8498 11311\n4261 10968\n958 6148\n6446 11104\n1319 10730\n610 6947\n2793 8199\n2561 6128\n4883 5213\n1700 4641\n1371 12189\n1302 7268\n4171 11231\n5251 7614\n1641 10677\n2819 8609\n7047 7601\n3892 6246\n4412 7583\n4101 9449\n6029 10356\n3170 10757\n5924 8304\n4271 6041\n3361 4207\n10403 11598\n4670 6315\n3885 6208\n3679 7385\n3140 5484\n2476 3100\n7351 7816\n5457 11311\n6968 9790\n3302 8116\n1027 11316\n2298 9484\n2833 9259\n593 1131\n5186 8116\n3474 10523\n1926 10558\n10390 10792\n360 8123\n4271 7628\n9295 11477\n2063 9626\n235 6852\n1825 5306\n5514 11887\n419 8149\n4201 4545\n6597 10080\n4685 7906\n2052 11149\n1397 7788\n6892 8891\n3698 6335\n3954 4088\n7044 11046\n6559 11026\n4241 9768\n5702 6501\n6734 11023\n1760 7405\n639 2137\n3020 4696\n4529 11751\n2013 10437\n4151 8962\n803 1510\n1105 6556\n4276 6559\n3529 9618\n5221 6910\n2226 7253\n3761 10525\n6542 10937\n10106 10274\n1648 4457\n7347 8614\n9043 11540\n6175 9528\n948 5543\n5505 7801\n788 1292\n5351 6062\n3859 10322\n1874 2684\n4379 4445\n2571 10008\n5008 8427\n919 3392\n4279 4463\n3401 11016\n1919 6169\n1304 10173\n5924 8809\n5170 9091\n2477 3827\n5655 10915\n1891 6713\n7854 11683\n2737 6850\n1846 6532\n4461 9812\n9167 11741\n1471 7679\n1835 2253\n3917 11540\n3492 9127\n2009 11321\n212 3515\n1965 5731\n2087 10858\n2255 11206\n7803 10822\n4383 7370\n5331 11803\n11342 12069\n3500 4121\n380 7453\n3739 11664\n795 3403\n1182 6104\n10586 11357\n2564 10318\n5308 5323\n858 7311\n6716 7228\n1228 3648\n4932 12067\n1249 9519\n5419 9738\n7982 10750\n5068 9886\n9697 12175\n6594 12075\n6488 7631\n6055 11772\n187 3995\n4642 7272\n7258 9952\n761 11375\n203 3848\n9400 9511\n7315 11160\n185 1575\n2968 6586\n6607 7888\n8965 11135\n6384 8267\n1352 11564\n1032 10067\n1407 2223\n5812 6755\n8900 9192\n5639 9029\n1018 8405\n4185 9702\n741 10828\n11084 11155\n1760 4914\n478 9138\n7577 11691\n1728 8944\n1257 11119\n2397 11816\n145 8743\n1811 6008\n8891 8968\n1529 10874\n214 5940\n3445 12090\n6970 8875\n3061 3184\n1409 3268\n1674 12131\n1407 6040\n1478 1737\n36 10297\n9227 9840\n787 2623\n1841 7286\n112 347\n1283 6713\n9369 11252\n2378 12134\n4685 6634\n2584 5956\n3636 9229\n979 12156\n3209 11359\n9269 12097\n329 10523\n2424 10203\n331 7681\n2920 4964\n7715 8268\n6280 7092\n2681 10450\n6733 7544\n7260 7523\n7154 11514\n10894 12075\n6559 10834\n8712 11326\n3590 10568\n895 5390\n621 8111\n8531 10936\n5033 6086\n652 5228\n408 3202\n536 7476\n2888 9584\n4987 7363\n7116 8414\n4319 11115\n173 11882\n2953 9775\n3816 5579\n6400 10275\n3037 8965\n10421 10630\n1815 8969\n2029 10597\n4506 10139\n1031 3617\n4057 8195\n1305 10228\n281 10547\n2710 6172\n5368 9513\n75 2075\n4644 8024\n547 900\n8102 9000\n7696 9590\n96 6398\n5553 10775\n1889 10990\n4461 9553\n5385 7744\n266 10553\n3914 9281\n4547 7179\n8263 9746\n9095 11375\n9058 10138\n1431 5571\n3254 6869\n2618 8269\n2510 11151\n691 5746\n8537 10331\n3573 5253\n3270 10507\n9785 11762\n975 3356\n51 253\n212 8179\n3489 5885\n5155 8871\n2203 5917\n1686 7009\n2633 7070\n5613 8403\n814 6269\n1346 10522\n1608 7190\n6503 7481\n7336 11962\n2487 5580\n1066 1441\n3340 4004\n896 8271\n1505 1610\n2940 8686\n3835 11603\n4041 5347\n9622 9946\n388 1981\n5212 11826\n8249 9649\n6885 8604\n564 11444\n1860 8169\n512 11818\n8170 11419\n10923 11257\n10041 11763\n3036 3443\n1590 6252\n6444 7910\n5944 6447\n8445 11256\n6482 8777\n4519 10500\n3996 10004\n5293 11012\n730 8474\n5110 8218\n2741 4492\n6414 11866\n3232 3457\n6281 8256\n2706 8030\n5711 7720\n2218 3985\n9231 10571\n1916 9960\n2947 5051\n3192 3374\n2684 3323\n3290 5156\n1527 6372\n6409 8603\n9446 12027\n4574 11363\n2756 5599\n1338 6850\n10489 10575\n328 4962\n806 5265\n4789 12155\n642 6789\n9036 9322\n1886 8629\n3057 4324\n51 10176\n4645 6672\n1823 4183\n1389 5059\n4993 5113\n8478 10080\n998 10140\n3070 8326\n2779 3355\n6271 9260\n4541 4788\n8756 9474\n6176 11764\n2126 9775\n691 11398\n116 5575\n7125 10564\n6276 6819\n503 9964\n451 3351\n4173 5455\n4872 11584\n4262 6093\n7593 8022\n9158 9229\n1046 2369\n75 341\n6833 8182\n2647 7029\n1652 8389\n7317 9102\n2576 3776\n8061 11942\n8959 10100\n3750 9702\n556 3258\n10468 10843\n1233 3144\n4516 8795\n975 6812\n7865 9230\n5374 5910\n1455 7793\n3612 9391\n376 2253\n5704 10761\n1175 7821\n8306 9260\n3398 7243\n10821 11772\n3216 6002\n35 7907\n511 931\n532 7370\n5458 8861\n350 2317\n11076 11283\n5239 10102\n4895 6794\n739 7239\n7540 7659\n5915 10898\n6464 9066\n1296 9306\n4881 6501\n6366 8076\n3563 7023\n2487 12011\n2383 6837\n1355 8755\n8462 9632\n522 5887\n11024 11146\n3927 10447\n2040 5233\n312 2649\n5194 11041\n2673 7190\n3385 8424\n212 312\n3634 9041\n6290 8194\n6108 6671\n1545 8126\n7173 12063\n1483 2622\n906 2161\n269 9006\n5773 6870\n1105 5396\n1824 12083\n8069 9670\n4204 9538\n1503 7703\n1802 10853\n1788 2576\n5134 7022\n973 11922\n4589 9426\n3751 9995\n760 9041\n5193 8739\n7689 7732\n5029 7195\n3895 10224\n3875 7395\n358 12155\n866 11406\n3104 10605\n2416 4382\n2301 8077\n5747 5799\n2029 9369\n4010 10838\n5484 6036\n4071 10411\n7083 9737\n461 2592\n331 7601\n2730 7043\n1016 6448\n4711 6251\n452 7395\n3210 4151\n6133 7080\n8211 11284\n145 2969\n738 3495\n1438 5850\n8597 9264\n3886 7316\n1944 9528\n2232 8313\n4723 6965\n5691 7726\n5827 9315\n5113 5712\n5028 6081\n5386 7082\n7911 10036\n7197 11251\n7482 10782\n5885 7036\n7442 7854\n4733 6348\n1880 9001\n4823 9375\n4330 9885\n9094 11016\n11201 11949\n964 3860\n4096 6935\n8038 9250\n5103 10459\n186 3304\n8609 11329\n5501 7669\n2896 10054\n623 5725\n8318 9467\n73 11428\n7366 10684\n10030 10989\n6267 10896\n4135 8961\n2421 9059\n6795 7228\n4834 8912\n3708 12194\n5574 6837\n2392 9360\n5034 10556\n11860 12110\n4720 11929\n820 3590\n2430 3210\n1348 10956\n1185 9906\n3284 10702\n3005 9969\n3563 4953\n7411 10870\n1004 1767\n894 2565\n1569 3513\n8451 9371\n8834 9746\n2873 4000\n836 10532\n666 1067\n3677 8168\n6906 10929\n6311 11286\n1644 6810\n3544 9311\n1543 7807\n2044 4013\n831 5505\n469 11041\n6797 10925\n1904 3454\n9753 12124\n2582 7805\n1122 7462\n727 2031\n4451 5709\n2250 9423\n9460 9834\n6332 7069\n8867 9228\n199 9045\n2751 5228\n39 11911\n6517 11225\n99 11291\n4004 7934\n3272 9948\n5275 11946\n2747 4994\n6701 9472\n830 3536\n7801 10824\n8294 9443\n133 5909\n3366 6873\n4600 9767\n7051 8744\n1116 8487\n350 6864\n1174 7932\n4003 10041\n1525 9682\n4576 5606\n4591 11296\n5188 10604\n1937 8802\n3076 11504\n4108 11173\n2845 7300\n9096 11296\n1435 9651\n4151 10938\n1038 5516\n3776 5288\n7588 8960\n868 2056\n9350 9370\n2553 6425\n3711 5416\n3992 5379\n7733 8548\n27 11708\n7514 11626\n4795 6433\n3177 11321\n6281 9335\n1715 8666\n6025 9887\n2693 2950\n5413 8279\n5008 10145\n2590 11665\n5850 11306\n6697 8433\n6230 8757\n1649 4340\n3639 4292\n1558 3439\n1720 9109\n838 8219\n614 1597\n4727 5588\n549 9291\n7188 10752\n7456 9275\n10853 11212\n4695 9810\n4942 9038\n6606 11960\n2629 10188\n8475 11631\n6703 6853\n6946 10831\n6756 10171\n7306 8739\n7614 11840\n7357 9522\n3154 8004\n4418 9679\n2172 10981\n7047 7610\n703 10740\n8424 9087\n3047 7859\n4633 10504\n5771 8161\n5571 9085\n946 8371\n10018 10116\n1984 9575\n972 7633\n2404 4589\n2425 4551\n5199 9972\n3799 11278\n975 11564\n4121 7418\n5999 11008\n2008 3078\n4198 10893\n1313 8417\n4061 11182\n8369 8849\n2551 10277\n2675 8072\n1063 9235\n4001 11526\n1109 11338\n3041 9567\n2509 6151\n828 7237\n1426 3823\n7504 7694\n6559 10987\n984 1803\n1574 10168\n4142 4759\n2933 4878\n1098 7303\n2232 8663\n4066 4865\n1923 9614\n7249 9214\n5322 11980\n1656 9474\n1426 10627\n6982 7459\n246 3570\n67 6963\n1287 4793\n4161 9939\n5816 8993\n9098 9400\n1529 4631\n2982 4742\n402 4768\n2685 9168\n2758 10747\n3836 9318\n247 11028\n8937 10906\n161 1564\n4011 5784\n6006 6795\n9551 11406\n4541 5906\n9445 11410\n276 820\n458 9376\n2272 5299\n1444 5379\n8550 11657\n4453 8956\n2834 9856\n2440 7778\n1850 11972\n439 3754\n4020 6581\n2554 7536\n3243 4719\n3089 12059\n4869 11254\n1023 7341\n4932 6197\n4454 9557\n1554 4787\n1566 2571\n5953 9119\n1732 11988\n2950 11075\n10492 11469\n444 1274\n6244 9285\n1809 10460\n7034 8155\n4664 6581\n2979 7957\n4386 7695\n8815 10821\n6531 7489\n3737 6088\n4321 9913\n7470 11689\n25 8195\n1024 3851\n9373 9594\n2227 4024\n2068 5614\n6319 8870\n9495 11425\n1681 2306\n1320 5199\n3326 6789\n1209 5367\n6112 12185\n4436 11907\n1998 10082\n5402 5809\n2649 9376\n3801 5680\n420 579\n728 7473\n7959 9344\n7363 12145\n2368 6992\n7054 8818\n10118 12184\n9839 10952\n9098 11101\n7863 8019\n1609 6883\n8430 10694\n2498 2664\n5994 7506\n7299 8334\n2588 10643\n5805 11989\n2471 8137\n6583 7153\n3856 11993\n2872 6386\n5536 10918\n5804 10553\n297 9084\n2879 4290\n1021 10167\n6823 7247\n46 10898\n2106 4853\n7830 10485\n7331 7589\n3820 11999\n6505 11129\n576 9075\n5938 10477\n108 9962\n548 1549\n3980 10516\n3211 7454\n2364 4184\n4809 6522\n6686 8770\n2400 10543\n7693 8454\n796 9550\n2618 11647\n4644 5988\n3918 10103\n3196 6384\n7061 11563\n5417 7434\n1233 9338\n1222 2549\n5826 7641\n9864 10794\n7561 9561\n7734 11567\n9359 10050\n555 9914\n8674 10417\n2742 3089\n4302 4392\n2254 6412\n676 8984\n8647 9989\n165 4603\n1280 9533\n1213 9169\n3098 4096\n720 8725\n4524 10593\n3267 10412\n10848 11532\n5090 11386\n6967 10291\n2168 8670\n5184 7789\n8173 8789\n6195 9499\n8659 11042\n9093 9184\n421 9935\n354 3179\n1398 11547\n373 5518\n2991 10272\n3818 12193\n3353 12165\n851 8609\n2019 6033\n6803 11691\n2500 2612\n1951 9142\n8188 11512\n2614 2998\n5283 7567\n8224 9261\n4330 7805\n3889 9861\n7512 11181\n3791 4641\n6598 10431\n4524 6631\n3316 3932\n3862 8611\n11551 11733\n4079 7194\n2881 10774\n7850 8839\n6606 11170\n8557 11214\n6738 11984\n618 7061\n2507 3013\n1267 2635\n5637 7049\n5473 8077\n5337 5424\n2540 4794\n10218 10714\n9123 11901\n8968 10158\n9911 12071\n6735 6870\n1488 11970\n3072 10152\n502 8951\n4500 5614\n1758 3651\n5776 10339\n1536 6110\n1880 2383\n3739 6737\n4111 12072\n4179 5285\n5621 8061\n4719 9127\n5971 9162\n1273 4092\n1206 11549\n1209 8423\n688 10644\n2034 9689\n3096 11419\n7051 7892\n4198 7619\n7082 12041\n1730 9777\n2347 5099\n2140 11335\n4021 7108\n10245 11171\n1938 11655\n3887 6395\n4374 7634\n5567 9197\n4327 6759\n2129 11303\n359 8952\n4377 5723\n5487 6110\n1465 7826\n8145 9676\n4202 11921\n7469 9097\n7890 9618\n4049 11596\n4191 9417\n4978 9847\n6923 8201\n2278 6906\n8071 11233\n3190 9673\n252 1429\n3827 7999\n8887 9977\n9125 9759\n2303 4271\n10463 11333\n1824 5066\n6070 7110\n361 4489\n1082 10445\n11284 11743\n7978 12165\n1959 6484\n1114 1485\n3437 5619\n3531 9190\n2204 2595\n9679 11431\n1701 6786\n2664 9280\n3177 8859\n1744 12149\n3432 6723\n1214 1305\n1822 8146\n6466 12094\n6235 10442\n550 889\n1771 10489\n1947 10504\n2668 10924\n1612 8387\n1430 8685\n2573 10816\n300 5070\n8829 9255\n8048 11967\n3316 6753\n9547 11135\n2584 9593\n656 8064\n11168 11190\n2177 5828\n6898 7335\n6814 10234\n5088 10716\n7269 9493\n2968 6543\n11284 11512\n760 7340\n4914 9765\n282 12169\n8187 11567\n8643 9352\n1676 7793\n9530 9709\n1166 10317\n5216 11535\n701 5952\n2219 11475\n904 7393\n4214 11165\n3965 11965\n3706 10518\n2942 3001\n8283 8694\n2230 10640\n9777 12166\n181 1495\n6500 10904\n3679 6166\n5743 10640\n2988 11230\n2956 10831\n4261 11891\n5881 10814\n5248 7621\n3137 11827\n3790 11560\n5152 10641\n6371 8996\n6427 11425\n1183 5806\n2140 7878\n4655 9411\n5028 8898\n6846 10655\n9988 11320\n10406 11676\n8747 10044\n7719 11832\n4824 8521\n4382 9681\n6193 11558\n5964 9196\n1937 3122\n7303 7914\n9150 11692\n2931 11304\n6670 10069\n2527 4586\n2696 3677\n7420 9518\n18 9758\n9384 11492\n10162 12052\n114 5303\n913 6041\n8677 11402\n5521 5552\n6960 8205\n1868 11108\n609 2395\n2140 6538\n543 5860\n6517 7220\n4953 10223\n9755 10910\n1627 9114\n8870 11121\n3793 5188\n5140 9903\n2368 10203\n8273 11241\n1919 4185\n9478 11823\n3288 7866\n4352 7409\n3111 9365\n2479 10858\n7871 9926\n5413 9466\n1270 4190\n4599 9150\n8742 11821\n4985 11031\n5581 6449\n2722 10725\n1147 4085\n5165 9100\n2533 9124\n5850 7956\n1659 5306\n5813 11554\n952 11078\n7551 9754\n2639 11354\n1188 5724\n1905 4604\n8051 12099\n1642 10471\n11203 11947\n1605 3303\n2302 7023\n5123 9457\n4067 10207\n1489 8986\n10342 11962\n3225 11384\n11925 11965\n9365 9942\n2389 5674\n1502 8320\n7276 12012\n94 8354\n7614 12170\n4269 5548\n10504 10871\n3193 11677\n2459 3816\n2236 5245\n1663 5519\n1959 10557\n2195 4254\n1732 5592\n266 10035\n2793 3250\n4129 9537\n9070 9560\n5373 5394\n9996 10684\n7857 8037\n142 10131\n1498 3520\n2082 8445\n4765 10472\n1203 4038\n2853 4015\n5107 10404\n1354 2133\n1374 3402\n3398 9096\n3790 12005\n3780 5421\n5742 8174\n287 608\n7273 10186\n47 11957\n9486 12185\n7453 8391\n39 7083\n2734 11207\n3280 11045\n5622 9139\n4369 11084\n6184 9058\n4166 5683\n1405 5783\n1853 10003\n1212 10826\n8661 10578\n3210 5996\n8767 11075\n6127 10983\n5702 8029\n1321 2757\n8100 9283\n10029 10546\n3066 7293\n1833 3652\n1313 9289\n379 9473\n7340 9078\n31 11462\n2854 9185\n2955 12178\n10752 10982\n3743 4823\n7028 8511\n1933 11392\n3093 10422\n6153 9247\n877 10889\n9482 12102\n685 8181\n1882 9211\n416 10035\n7568 7797\n9389 9618\n7334 9527\n3601 8358\n4 11929\n3331 7901\n1700 10653\n5164 7723\n2465 10448\n6696 7819\n2249 4772\n4579 7361\n7306 12179\n331 530\n6548 8910\n1838 3153\n5768 11050\n3663 7370\n1201 8875\n3678 10342\n1553 8239\n7355 8170\n1373 6568\n1126 10946\n3160 12129\n2898 4850\n5445 11023\n179 7677\n3990 5309\n2680 5854\n875 1490\n7754 11350\n418 2471\n8569 10822\n8771 11666\n1447 4088\n7247 10152\n224 10693\n10562 11018\n6790 9622\n4446 11403\n6308 7147\n7887 12120\n457 10604\n921 1106\n1110 8018\n5204 11410\n7529 9074\n2623 10560\n4626 10733\n185 6330\n6826 11766\n6994 7732\n7082 9338\n7840 9348\n6022 7728\n778 11343\n171 1934\n5100 6726\n755 1505\n111 10602\n1354 10348\n979 3447\n5251 9643\n674 6527\n933 11319\n3329 8344\n745 3812\n1344 1482\n9503 12193\n4218 10206\n7270 7284\n680 3580\n4571 5326\n3198 11693\n8258 10338\n4542 10660\n6286 8780\n73 3738\n5113 9866\n3139 6829\n7498 8840\n2570 8823\n4945 5957\n3278 8021\n5521 7988\n2228 10801\n2695 4060\n8846 10107\n136 2141\n6812 8358\n7704 8407\n8288 12185\n25 8160\n2156 7106\n460 11547\n8840 9468\n3889 9476\n4882 8049\n10790 10960\n691 9713\n7094 12068\n441 2401\n18 5290\n3267 8594\n11196 11720\n1437 6992\n8603 10304\n1080 8682\n4533 11882\n68 2939\n1182 1754\n1277 7005\n6319 11270\n4258 9633\n2429 7652\n4094 11478\n7457 9297\n4344 4405\n1960 2309\n6803 10142\n5967 8366\n9285 11317\n5557 6201\n7708 10506\n2243 5473\n8739 9883\n1843 5858\n2236 6765\n5932 8631\n4403 8564\n5064 7822\n3018 4690\n6758 7087\n5829 6571\n773 10754\n4409 7982\n9351 9581\n9231 10881\n39 4955\n5772 10794\n10042 10233\n2718 3830\n6315 12054\n5604 7519\n9064 10533\n7820 9597\n1603 2947\n409 6553\n553 1851\n7564 10546\n11197 11545\n8077 9357\n4380 5738\n1239 2902\n4248 9938\n727 8816\n1191 8411\n9826 10248\n2774 6197\n6479 8906\n8931 9637\n3344 10145\n4426 11625\n3047 4916\n6157 9343\n9107 10653\n8002 8324\n5200 5356\n4635 8435\n1367 2343\n2031 7073\n4707 9305\n6710 11386\n10351 10732\n927 3513\n528 4452\n4725 8292\n433 4900\n244 2797\n2506 4137\n1794 4690\n922 7598\n5695 11897\n8353 8729\n3647 6196\n808 1376\n2067 6191\n1953 4696\n116 3784\n969 9112\n2519 8847\n4226 10811\n864 3593\n2587 11533\n5428 8087\n23 4178\n3776 6472\n3579 4293\n7868 10323\n6046 6577\n7093 11773\n5893 10372\n113 226\n4059 4448\n2273 9882\n3260 7869\n10032 10398\n5600 9145\n6086 10917\n1171 7809\n4480 10775\n3902 10258\n1305 11005\n4227 6491\n1811 7318\n1610 3019\n1879 10380\n7127 11154\n7669 11092\n4648 4714\n2415 4164\n9415 10647\n2298 10372\n682 10633\n1444 7319\n1148 5934\n980 4974\n6905 12013\n2062 3950\n582 4551\n8351 10310\n7832 9959\n5959 11095\n2754 4921\n5290 7932\n910 4466\n1105 8692\n3752 10490\n3672 5968\n598 5942\n791 3890\n344 816\n158 10230\n5041 7107\n5858 9046\n4198 7704\n438 4218\n4951 6850\n9784 11695\n41 6913\n6611 11041\n2184 9933\n1413 11244\n3411 10833\n1674 4273\n6490 10836\n1184 4906\n1000 7908\n8549 11142\n2982 8302\n5870 11728\n4551 11583\n1137 1434\n4286 6015\n2795 6744\n640 8662\n5093 6801\n350 9628\n7216 12089\n5544 10084\n4054 6012\n9211 10774\n7034 8856\n5753 6565\n10160 11658\n2788 2960\n832 11466\n8544 9422\n1185 1816\n4562 11601\n7775 10781\n4637 12094\n6760 7191\n4075 12013\n5314 11154\n1837 10280\n609 7385\n1033 11884\n3392 7073\n2915 3741\n3807 7864\n7668 10807\n6622 11220\n7116 11853\n4098 5524\n2784 11882\n8002 9055\n1376 10395\n920 2681\n11397 11539\n5128 9498\n290 2137\n3115 6205\n2324 11526\n721 8209\n1090 4598\n4822 11742\n755 8286\n3015 7787\n4093 5164\n4106 10795\n2442 8187\n11156 11970\n2242 5684\n2240 3661\n3655 3829\n9713 11354\n279 10736\n8003 11958\n5240 5902\n5328 5961\n5942 8922\n1026 10925\n4198 5221\n5788 10085\n6642 9275\n3191 11549\n1198 5093\n6026 7516\n1726 12039\n5028 7455\n1175 8552\n2764 9050\n1592 9774\n2027 2811\n7003 7490\n2896 4289\n12034 12114\n3662 10836\n3170 7117\n8469 11273\n4524 7885\n6776 9278\n1816 11673\n7411 10011\n3459 6485\n5446 8659\n1054 7977\n1181 6658\n5818 9324\n2753 8942\n9879 10778\n3245 4736\n818 5636\n3033 6375\n314 1898\n1556 6633\n1244 10058\n1899 11976\n3288 6203\n8011 8649\n442 4307\n3381 6632\n7715 9486\n2153 9441\n2789 11472\n819 11219\n6989 8242\n6795 11277\n2783 7320\n1602 10969\n10602 11751\n1742 12022\n1030 8222\n4081 6742\n5530 10914\n509 3090\n2569 9311\n4055 8204\n4900 7492\n10418 12041\n371 1175\n364 3952\n4243 9830\n5406 11931\n2840 7164\n4263 11368\n856 5141\n6240 11875\n8878 10226\n1446 6922\n4916 10390\n1712 2510\n1004 5751\n3424 7995\n4637 11687\n7333 7931\n2780 3805\n4960 12106\n5948 6730\n1375 5742\n284 11234\n10575 10915\n6953 9042\n2567 7239\n4996 7964\n1819 2634\n1762 9501\n483 11336\n2485 8507\n7419 9149\n4039 7000\n4607 6400\n2250 5152\n2015 10385\n4642 10834\n9171 11132\n522 4981\n8231 11793\n2495 6473\n422 2084\n456 11968\n2006 10687\n9009 9724\n2428 4960\n150 12026\n2554 3604\n4746 5813\n1853 11643\n294 841\n1462 7569\n3246 6775\n4177 6348\n4086 10179\n543 11390\n422 1366\n8647 10312\n8945 11919\n1480 12062\n7196 9984\n4516 9079\n4288 7749\n2949 9593\n1396 4704\n7051 11616\n1633 9289\n2469 5612\n2999 11906\n1084 3596\n5255 7119\n2431 7879\n781 9039\n6240 6840\n3177 9612\n2832 5246\n7958 10917\n4378 7918\n1599 8349\n4610 6414\n3492 5863\n4139 4325\n117 10680\n110 6317\n8346 9551\n8293 8659\n291 1988\n38 8720\n2376 4534\n3973 5682\n4072 10681\n6340 9555\n4920 9677\n1107 4326\n5511 8784\n2650 7312\n1451 9276\n658 6591\n7259 11064\n10508 11102\n2368 10444\n9252 12180\n241 4634\n3215 4938\n6253 11036\n7089 11199\n5931 7146\n4042 10467\n2908 4957\n2316 9563\n5528 7403\n1493 7529\n255 3159\n3466 7861\n991 7358\n6371 6597\n2396 5248\n7795 10856\n1721 7678\n6037 11696\n186 8519\n931 11114\n956 4223\n7482 9215\n3683 3843\n1922 3344\n4177 5219\n5686 10498\n2464 5244\n2902 5876\n10678 10909\n8351 11806\n6927 10678\n1754 7390\n9771 10778\n883 5387\n386 12029\n10431 10463\n7997 11385\n2253 2974\n9852 10593\n5158 11376\n5418 10365\n6496 11896\n6001 6692\n542 3839\n11034 11745\n3627 11900\n2448 10421\n2713 4737\n479 5676\n5846 9373\n1721 11603\n4995 6536\n1457 7176\n2008 8210\n210 926\n4878 9402\n25 8093\n4983 7213\n2980 5922\n198 9995\n444 1836\n4295 10780\n2557 5231\n3202 5310\n4065 7119\n9001 12137\n7350 11248\n633 11255\n3159 9421\n1282 11660\n2887 5869\n580 5387\n1474 2282\n5089 9621\n4037 4392\n1033 11088\n4468 6708\n5613 11796\n2654 6948\n143 11501\n5128 7398\n1626 11352\n6913 6927\n7719 11042\n4292 5527\n757 6592\n6645 8819\n8492 10212\n4708 9784\n663 9611\n5674 6903\n5985 9832\n6031 11792\n1018 9556\n4192 6896\n1458 10127\n491 9323\n8600 9976\n2020 10566\n1812 6222\n9262 10238\n3773 11538\n1988 6510\n2112 11910\n2593 11722\n877 11810\n3664 4088\n3823 4318\n1691 7980\n3116 6503\n4419 8382\n2208 11893\n3501 6772\n10158 12071\n3894 7406\n6486 10500\n6386 9447\n3257 3979\n347 5658\n1087 3675\n5696 8900\n4188 10505\n10799 11483\n94 646\n2376 4450\n1444 8203\n5644 6849\n4931 11155\n3991 4184\n6328 11018\n8704 8978\n914 3990\n101 330\n3 6164\n6037 10640\n8407 9321\n5909 7970\n7280 11067\n333 4646\n28 3727\n1099 5775\n170 4233\n7480 11709\n557 5887\n661 11392\n1974 6725\n1423 6124\n5391 9696\n679 2269\n1206 5452\n3960 6547\n8341 11925\n164 4129\n3411 3562\n4618 10586\n3277 12139\n6322 11806\n2130 5607\n10194 11203\n10871 11092\n2374 7314\n2597 4275\n4272 10728\n509 5139\n3180 11925\n1121 2240\n517 6628\n4005 7303\n1565 2674\n4548 8699\n479 9952\n6312 8131\n2474 4327\n7938 12169\n7359 9864\n5568 7792\n2563 10554\n8959 9407\n9433 10383\n765 10142\n6142 10267\n2631 6406\n3795 7544\n857 3168\n576 8161\n1095 3300\n1537 5430\n1946 12077\n494 11509\n3525 5973\n420 609\n1384 9283\n4175 11625\n7756 10532\n3361 12177\n3086 7328\n1367 10732\n4724 10144\n1550 4845\n1485 3163\n6786 8771\n9465 11397\n4070 12053\n2090 4592\n9041 11970\n695 10794\n819 11975\n1596 4977\n4603 6813\n3223 8695\n4635 6385\n697 10659\n8030 9578\n5204 12110\n304 4831\n1726 11935\n4299 5931\n9098 9101\n266 8624\n8747 11431\n7250 12058\n4377 6838\n254 10586\n5226 12154\n5987 8702\n6362 10175\n1217 5827\n6109 7639\n2236 2280\n3814 7044\n610 11944\n8657 12143\n3273 7595\n3226 7690\n5277 11476\n7015 11959\n11350 11441\n205 2808\n2844 5673\n2624 8633\n5169 10094\n4753 7543\n7902 9021\n6578 8498\n1150 10474\n1516 8283\n150 2071\n1265 4617\n1595 7864\n5845 10468\n5853 8181\n3139 9695\n6088 7475\n2086 8505\n1869 3815\n5846 11604\n969 5602\n5102 11234\n10441 10877\n4920 5194\n5806 8370\n1461 9275\n8303 9868\n6404 8002\n4348 10596\n3561 5183\n7677 9225\n3682 11541\n6893 9583\n3662 7034\n8265 11318\n4718 6740\n7450 10673\n5320 5366\n3148 8853\n10649 11415\n1544 10138\n5202 7863\n4262 8454\n7952 10910\n3536 7149\n1275 7233\n7740 9619\n3416 6949\n6694 7629\n511 2734\n8955 10048\n343 5993\n6603 9121\n8382 10615\n2409 7001\n1893 8960\n3515 7411\n1264 3851\n1581 11077\n5559 9749\n7446 9428\n2502 3396\n110 4207\n3047 11742\n2710 5953\n6733 8496\n2726 7631\n729 3513\n2276 8500\n1270 9838\n5079 7406\n1363 2016\n4291 10815\n9951 10123\n907 10834\n5871 10170\n137 9577\n3467 4395\n1253 10909\n7980 10160\n5261 7001\n2861 8418\n5583 6556\n2047 7900\n2380 11031\n181 5082\n1207 5748\n5710 6746\n2565 7540\n333 9113\n3314 7662\n4926 5588\n4670 11883\n4373 11129\n4547 9321\n1297 7168\n7252 8920\n6748 8956\n5432 10913\n2217 2898\n4675 11074\n2919 7795\n7740 8260\n6026 8010\n1920 9383\n3720 7801\n7243 11722\n6683 7684\n410 7356\n1702 1761\n2621 5639\n5556 11514\n398 4193\n4523 5807\n3024 4892\n1917 7431\n2416 6877\n6678 12029\n7327 11628\n5844 6981\n6715 10383\n2644 9660\n4738 5009\n1734 7508\n9696 11636\n1317 2675\n2495 9041\n3988 6581\n129 3294\n1448 9525\n1436 3051\n750 1220\n5862 10778\n11054 11838\n5157 10665\n7228 10027\n10310 11683\n359 1110\n2087 11836\n9485 11375\n1697 11184\n2399 3858\n3902 5874\n1527 1611\n3945 6715\n6335 7590\n6826 8665\n2526 4936\n3062 9678\n7531 9400\n5476 11658\n7762 9158\n3170 8250\n9184 9969\n550 1224\n5474 11718\n5440 11954\n6662 8016\n1665 7254\n5260 11870\n8261 8943\n3042 6869\n4366 10190\n7312 9009\n5812 11045\n4927 9041\n3954 5913\n3627 6124\n6833 8378\n3409 9847\n6877 9945\n5153 5636\n1631 8965\n7702 11366\n1541 11286\n9255 9860\n4144 7036\n3278 9874\n3410 10552\n3276 7907\n828 5290\n2730 8456\n7842 11870\n2276 5676\n5524 5967\n2381 4652\n3818 11959\n3439 9747\n77 2335\n4889 8913\n419 2241\n525 7688\n804 12154\n1923 5664\n1725 9692\n3463 7554\n3016 10013\n1097 3389\n881 3997\n4983 10140\n4424 9491\n1923 9327\n1836 7607\n11269 11467\n6544 11328\n3789 6508\n10209 11613\n7031 10981\n2044 11924\n6445 9059\n6381 9287\n864 3771\n5408 5965\n7572 8048\n7445 9223\n4058 4516\n1205 11914\n1970 3715\n8090 11952\n224 11903\n929 7293\n4319 4407\n1227 1432\n7241 9820\n5455 10434\n4546 4600\n6391 7210\n2375 10498\n4839 5206\n4703 5328\n7131 8743\n9836 12115\n1478 10077\n9559 11650\n5315 9665\n10045 11146\n1530 2639\n835 1115\n2990 8822\n5624 6432\n2363 2654\n3878 4042\n1226 2915\n800 7092\n3890 7698\n817 2535\n2113 10824\n2100 5862\n893 5752\n181 5188\n2099 10294\n1386 3065\n3344 11011\n2098 11677\n3857 4761\n9576 11193\n1644 4942\n1823 6435\n836 6421\n8550 11552\n2605 5000\n7497 8217\n8157 12111\n8592 8967\n4117 10731\n1973 4986\n6747 8365\n4111 7646\n7939 10833\n4195 6833\n5714 10578\n2394 6184\n1381 10795\n4823 6950\n5311 7701\n6942 9114\n1026 3561\n893 1516\n2452 11948\n6962 11813\n872 10322\n10725 11453\n2582 8957\n368 1611\n8825 10517\n5207 6371\n3358 8137\n3818 10966\n3399 8267\n6002 7798\n4928 11048\n306 7344\n2727 4210\n2911 9458\n63 7021\n5332 7684\n1272 1607\n5615 10552\n4733 5749\n764 3777\n303 6188\n7154 9014\n546 3147\n2208 2543\n5699 6219\n8095 11978\n8781 9592\n5411 6208\n7334 9227\n5228 11742\n3164 8767\n1566 11660\n7851 9454\n3342 5238\n7258 9339\n1482 2378\n9792 10461\n697 11820\n1660 6339\n1994 9011\n5676 11833\n5655 8241\n1765 5033\n2146 11563\n474 8549\n1038 7573\n692 3951\n5857 11254\n1576 2833\n4071 9857\n913 6556\n6529 11447\n7343 10006\n5035 7203\n5941 11287\n6652 10721\n1311 11757\n11145 12164\n6132 9374\n3545 7745\n6575 12112\n7112 7761\n1538 11729\n1870 3558\n2516 2829\n1788 6029\n7103 8589\n7747 8176\n4015 11307\n206 10735\n707 7313\n3339 8100\n1199 4660\n1724 9974\n4447 10411\n2691 8706\n3487 6208\n2054 7237\n5935 9422\n3605 12043\n6443 11084\n1008 12188\n688 5551\n1600 2434\n5177 8729\n1454 10233\n35 87\n5806 9550\n2984 6287\n3150 9869\n2560 8461\n4674 11731\n5570 7352\n3538 7470\n6645 6976\n2472 6294\n1637 7085\n47 601\n7861 9692\n667 4716\n6407 11512\n5148 9884\n2899 10399\n1634 12152\n530 2065\n7906 8503\n232 7289\n369 12100\n1700 8347\n6387 11916\n2291 8023\n7353 11268\n426 7920\n785 3987\n2395 5455\n1133 1843\n4836 11244\n448 9987\n3124 5396\n3431 11616\n2259 11452\n5539 7940\n4808 6752\n6585 7005\n6601 7355\n1907 2529\n6354 10731\n2338 10196\n480 4990\n8856 9323\n2046 11941\n834 9306\n2375 6721\n4185 8487\n2231 2302\n501 1616\n2107 4002\n3518 6490\n9510 11588\n706 2906\n6317 9939\n13 6942\n7699 11729\n8567 8816\n5987 8495\n6830 8874\n11148 11906\n10718 11510\n2018 3046\n6048 6254\n3005 10519\n610 8899\n1990 3483\n5497 10933\n1002 8966\n5125 5755\n6466 6758\n8184 9041\n4149 11741\n2790 10793\n266 4507\n3035 4527\n1368 4484\n7704 11040\n3989 11511\n2956 6240\n4757 7948\n11463 11543\n2743 2842\n3248 7022\n7185 9296\n4813 7638\n5054 6908\n1184 11786\n6421 11145\n783 7359\n2884 5132\n2105 5991\n2532 5495\n303 4524\n3197 8702\n5300 7731\n4565 10443\n5159 11277\n1381 11251\n2334 4302\n2047 5974\n10459 11546\n5935 11470\n1503 5750\n4905 6890\n2221 4937\n1492 10759\n3671 5658\n3071 4502\n4414 11886\n4937 6884\n919 10863\n1788 4944\n11082 11566\n5261 6699\n9071 11679\n4272 8952\n6292 7499\n5925 9685\n3484 10108\n3484 5289\n5111 10428\n4280 9458\n9609 9952\n963 11003\n2472 8458\n3138 9020\n7382 11868\n3363 3853\n3256 8666\n5569 11244\n8443 9445\n10527 10584\n735 5344\n1730 11357\n5598 10883\n5087 7790\n2367 9196\n7696 8845\n8929 9577\n798 2879\n4191 7264\n7043 8860\n4293 7099\n3315 7814\n4411 11405\n235 7337\n4439 9166\n7047 9692\n310 7893\n4477 5180\n4667 7608\n1567 2360\n26 6339\n8913 9363\n7338 12017\n4905 4956\n10548 11664\n7131 11247\n4802 9759\n1993 9227\n3700 6417\n1346 5764\n3544 10077\n3610 10843\n4964 6696\n5937 9304\n2628 3672\n2400 6309\n8600 9123\n3713 7464\n1133 8327\n8660 11517\n224 3975\n1213 2493\n1799 11456\n7696 9794\n2531 7121\n1506 5680\n2517 10777\n101 1513\n52 2768\n1381 8251\n4710 6352\n2409 11033\n663 11296\n2490 6396\n178 3690\n3856 7485\n4611 8252\n4033 5813\n4346 6151\n7326 10735\n4757 9288\n613 8663\n4107 4955\n2679 6243\n7002 11153\n359 10314\n6213 10559\n2712 3251\n1902 2835\n5623 11268\n2779 11988\n2787 5695\n6130 9411\n2221 9532\n2896 10744\n9315 11792\n1655 5718\n816 2200\n8831 11544\n693 8621\n7048 11065\n102 5338\n8877 9639\n6973 8804\n2612 11753\n3370 9975\n5218 10486\n3577 11256\n5983 6583\n6042 10168\n5474 10165\n1156 5366\n9990 11857\n4078 10616\n343 10453\n9404 11153\n4716 9635\n11683 11795\n6541 10291\n2897 8016\n4668 9187\n324 8435\n7681 9572\n5141 10488\n7310 10114\n5565 10630\n8054 11452\n1709 9268\n8526 11534\n5286 11628\n9035 10619\n6394 9021\n4395 6894\n4931 10037\n3773 6062\n2077 6649\n5149 5638\n1737 8909\n3423 9666\n12033 12058\n6418 7595\n3760 11926\n873 10763\n6352 11413\n792 5935\n560 2556\n4103 10962\n1241 10329\n4315 5595\n1733 9298\n9532 10274\n3384 5640\n1158 8308\n2759 10564\n6055 7951\n3838 8858\n4905 8864\n6923 10822\n8985 11959\n642 941\n3554 8080\n5351 11467\n9483 10041\n1054 10382\n8869 9275\n3574 10209\n2393 10536\n1643 7016\n7091 9963\n2172 10577\n910 4734\n6760 11628\n1324 4753\n5473 6842\n2649 8652\n6040 6238\n1035 9406\n53 184\n3891 10891\n2516 4428\n6349 11554\n2 1992\n2088 9549\n357 5666\n6756 7724\n4252 6199\n21 5472\n160 6988\n2172 3236\n2317 4516\n1093 10831\n2632 6279\n3895 10007\n6357 7245\n638 11503\n2608 3865\n6029 6686\n933 8055\n3407 8805\n1200 11359\n10215 10449\n4526 7201\n591 2765\n6805 8338\n1217 11562\n386 7013\n4686 8487\n4422 9595\n7 6597\n7137 11629\n1420 7945\n9813 11308\n168 3241\n10918 11005\n4852 6198\n45 11403\n6014 8082\n25 5244\n321 9791\n6212 12189\n3094 11958\n2427 12120\n7697 9750\n3304 10496\n8707 8717\n7791 9186\n4123 4878\n469 1121\n1318 11196\n1817 5961\n5675 11796\n483 1569\n4750 10368\n9599 10109\n1272 8924\n9463 11952\n4201 6856\n2773 9477\n1310 10035\n5579 5599\n2845 4473\n1788 11956\n11044 11049\n3137 11480\n251 3275\n1930 11750\n10855 12150\n562 8180\n332 2875\n4622 7767\n1078 6915\n4168 5673\n2561 8835\n3691 11051\n1370 6676\n1833 8861\n5192 12171\n4728 10884\n4691 10982\n6540 11716\n8763 8947\n3867 4161\n4195 6724\n3251 5262\n1144 2478\n2101 9789\n1209 5310\n7912 10241\n3564 7515\n2894 5476\n8524 10678\n1877 4258\n3794 11802\n1543 10018\n366 4085\n8156 11157\n6224 6716\n8246 10083\n7026 11788\n5854 8514\n1774 11606\n5194 7523\n6275 9205\n1494 9450\n2020 6233\n4935 5677\n231 6440\n9757 9773\n10225 11958\n8171 9119\n9274 10822\n182 9476\n4581 8209\n5281 8899\n345 1077\n539 7602\n3116 11578\n5534 6017\n2296 8531\n6005 9316\n2003 4227\n1224 11766\n805 9822\n2849 5529\n8425 9701\n4007 10357\n6536 9353\n3041 6646\n3530 3836\n4855 9155\n9827 10879\n688 2125\n4549 6773\n4045 4539\n2106 7507\n2709 6246\n1457 3980\n2113 3872\n7122 7924\n1070 5875\n169 3926\n2153 10543\n5184 11009\n6904 7474\n186 11054\n3584 9011\n3663 9614\n2366 6119\n2680 9361\n253 5758\n4246 4633\n3500 11319\n1394 7031\n8690 9160\n4445 8982\n8844 10436\n7588 8860\n3443 8264\n3529 11364\n7762 10147\n6749 7201\n3965 4151\n10043 11767\n1310 5468\n1826 10090\n1769 2927\n3632 4729\n7297 9720\n4216 10527\n7496 10162\n2250 4060\n3300 11400\n4115 8898\n1213 12141\n3164 10254\n2316 10336\n7232 8457\n232 3600\n7764 9037\n7656 8378\n6025 9685\n461 6151\n3789 10839\n673 6230\n8200 9971\n4000 4940\n6745 8025\n10525 11788\n1566 12020\n2270 8660\n4429 5557\n4138 4975\n3047 3818\n4720 5200\n6572 8578\n8028 8513\n10405 10536\n2671 3598\n3682 9400\n6401 7901\n11017 12138\n3371 8616\n1493 8328\n150 940\n2407 8685\n2683 2944\n277 11677\n8226 10050\n3843 11826\n4857 11723\n2743 7765\n12021 12054\n671 4045\n1983 10070\n7544 7738\n11131 11294\n9038 12169\n5971 10304\n1144 6758\n6801 9054\n3019 10765\n7486 7761\n4092 11328\n1662 3174\n6208 9696\n3199 9917\n6979 12013\n3961 7207\n9763 10175\n6672 9333\n5088 9267\n8352 8937\n1682 5532\n2918 4921\n550 708\n6368 8429\n4235 5029\n5595 6995\n6114 9352\n2753 3180\n3323 5425\n2262 10608\n2088 5377\n2734 5627\n11480 11918\n5223 6195\n1566 1841\n6689 9808\n3033 3158\n5119 7578\n4489 9516\n27 6137\n5393 5705\n7760 9553\n4189 11227\n3971 5978\n8493 11944\n6395 8445\n5574 9687\n3233 3761\n2389 8549\n9150 11157\n2021 7464\n3252 11954\n7238 7350\n2410 9105\n64 9632\n2742 10550\n583 679\n4994 12099\n3153 4799\n4582 4939\n1504 9188\n2510 5555\n2462 8194\n6816 8657\n8182 9427\n582 6726\n5223 11342\n8719 9662\n3652 9024\n2357 8131\n1640 2399\n4797 10269\n226 11312\n2242 7156\n8879 9847\n2646 7390\n2723 3310\n4851 6536\n4032 4609\n3018 4823\n6570 10370\n1635 11680\n1726 8291\n1854 5938\n1996 6573\n3978 9224\n3686 4099\n8380 11922\n4407 7406\n3783 8371\n4441 9299\n4594 11029\n2451 3252\n4685 5690\n2793 5984\n692 906\n6096 9049\n774 6076\n5968 9641\n6565 7276\n5510 9577\n1026 2703\n6060 11285\n7181 10124\n2961 5754\n3532 11754\n1085 8430\n2940 11862\n7048 8998\n6904 8849\n7793 10470\n5316 6071\n5645 9475\n2081 2157\n6181 6459\n801 3976\n5134 5173\n1061 7398\n3750 9667\n7069 9280\n7531 11294\n3349 3928\n586 10178\n3970 11746\n451 6514\n9409 9709\n1279 8246\n442 1309\n2219 8823\n769 11405\n6559 9419\n7187 10122\n5680 8637\n2336 11215\n7156 11650\n7328 12024\n2888 7939\n3342 10805\n6265 9877\n4507 12061\n3979 10783\n4346 10147\n3775 9226\n4696 5232\n4088 11414\n2990 10247\n186 2464\n4689 10405\n3871 8350\n433 2800\n2473 4920\n3254 6101\n5291 10127\n2322 4657\n7951 11354\n3592 9964\n3941 11100\n4902 4913\n4621 6395\n1011 11143\n9810 11557\n4365 9906\n6843 11466\n2019 11597\n9349 11413\n2667 8121\n3059 8631\n6240 9910\n3348 9339\n5649 7956\n1294 1433\n2226 6028\n4025 6277\n2007 8458\n384 4376\n4063 8744\n609 8787\n5133 11699\n5019 9425\n10586 11798\n2015 6870\n735 4366\n2708 8930\n1673 3615\n2156 2339\n10249 10930\n6124 7151\n2105 6310\n4867 6024\n7303 10770\n1535 4121\n3115 3786\n7396 7838\n8229 12196\n2858 6292\n4611 11245\n1317 8846\n3620 10163\n4055 10554\n3649 5917\n6318 6383\n5472 6515\n2660 4864\n1544 7128\n4185 10903\n1460 1947\n7990 8824\n6544 7127\n6241 7687\n6318 8777\n7735 8058\n8331 9975\n3577 4246\n3956 4802\n3313 8123\n2881 6925\n3244 7904\n6465 11082\n1862 8206\n4584 8412\n5480 8235\n4336 5588\n3827 8400\n10720 10976\n4332 11305\n4523 9603\n7658 8285\n831 4017\n6406 8762\n10472 11593\n10468 11598\n3795 11518\n3242 10686\n4444 8089\n3893 7541\n5586 11391\n802 8624\n4549 8837\n1098 9610\n8511 9089\n2236 10792\n5933 12055\n1729 6356\n4865 6179\n8579 11050\n6316 8328\n2976 5908\n4741 9658\n2120 5812\n596 10567\n3184 9567\n3822 12136\n1606 4948\n2646 9935\n6432 9299\n5955 9922\n1253 2792\n3397 7288\n4567 9761\n5435 8745\n2251 3403\n5766 10327\n4729 9682\n4265 6497\n6328 9991\n1067 12113\n8136 9933\n1170 6169\n10232 10309\n4039 9530\n2989 10430\n5070 6725\n7072 10405\n753 1014\n582 9081\n3970 9778\n2593 8073\n7565 9051\n3755 6266\n1871 8250\n11452 12164\n1088 3776\n1004 4867\n2320 11742\n4868 11714\n1574 4202\n7049 8798\n7104 9590\n4873 11732\n3033 10617\n8045 8192\n4647 6095\n1019 7560\n2465 8099\n4352 9492\n799 7553\n4352 7457\n4416 4678\n882 4282\n2747 8317\n3813 7835\n1413 3626\n3562 4622\n3048 4017\n1471 3967\n1366 6673\n3405 8413\n3832 11000\n414 10938\n819 2132\n9143 10127\n10170 11253\n1328 9796\n3689 7467\n963 7819\n1766 8179\n2207 11447\n4489 11862\n9425 11464\n5129 6582\n578 8309\n8807 11048\n8441 10312\n1138 8807\n4685 11447\n1557 6635\n1758 6702\n3971 8063\n2713 5968\n4390 11380\n1615 8070\n2543 4723\n3226 8728\n6069 9199\n4957 9486\n1595 2675\n904 5180\n7575 7713\n2990 4356\n545 5978\n9779 11406\n9407 11526\n1627 8224\n6056 6829\n354 5549\n5728 7169\n9524 10619\n8161 11343\n4726 11425\n4147 5432\n7795 9504\n6958 10831\n3187 4781\n2373 8268\n696 8851\n9018 10852\n8807 11225\n6353 10844\n3129 7917\n1535 11485\n620 9035\n7345 12171\n2842 8020\n4419 8425\n1761 4807\n883 10331\n7883 10550\n1058 2902\n3706 9321\n3472 11166\n2584 4749\n2993 9383\n10853 11927\n9996 11204\n4277 6994\n4630 10559\n6504 10366\n1203 10684\n9642 11813\n2 9334\n3108 7323\n4719 5472\n2886 8512\n1061 6253\n1990 3662\n8409 10607\n6821 7644\n4893 8131\n5241 11207\n6172 6646\n2178 4122\n4529 7564\n1508 7510\n8420 11493\n2555 3942\n4035 4818\n2606 9183\n3388 9692\n4230 10515\n6269 9897\n2769 9354\n6405 6467\n6124 7574\n706 2866\n3461 3943\n5565 10001\n1042 11239\n7444 10277\n6825 6931\n4382 6939\n3257 12193\n4228 11094\n1459 7476\n5553 7648\n4778 11210\n4043 5806\n1121 11318\n1976 8415\n3267 4056\n7774 11617\n2725 11392\n1453 6618\n3106 10280\n10704 11842\n6396 10432\n2233 2696\n3729 5242\n30 956\n3027 8458\n7800 9852\n520 6759\n7280 7317\n3398 7225\n10185 10826\n395 11800\n3304 11098\n8063 8375\n4566 8821\n5309 9482\n2101 8409\n4717 9842\n9757 10166\n2199 6303\n7921 8606\n3852 8242\n1621 3962\n1870 11658\n2333 8019\n2381 9697\n2962 6965\n2471 7476\n143 3633\n6940 10284\n6685 11553\n1329 1647\n8010 8666\n1708 11801\n2076 8843\n2492 11485\n6247 6443\n3523 4730\n128 8101\n2706 8108\n9871 10790\n73 2645\n4986 6880\n6730 8296\n2065 10748\n6515 9116\n227 11093\n3712 11343\n3515 4515\n3464 3702\n838 7480\n759 7879\n2264 7833\n688 12160\n3075 9537\n6169 6492\n1943 5173\n3788 5290\n601 2830\n2695 4480\n5600 11181\n11178 11611\n997 2377\n2955 6438\n3307 3526\n5811 7146\n6733 10348\n3314 9285\n8857 11385\n8039 10099\n1160 7455\n7148 9875\n2654 8617\n1103 2239\n585 7869\n10064 10507\n8841 10891\n2711 10813\n4639 4860\n5554 7622\n1222 4083\n344 4868\n7057 10026\n2185 3268\n1926 11317\n8092 10006\n2669 8753\n4035 7543\n9004 11117\n2961 5436\n10425 11730\n10112 10261\n249 8685\n4385 11711\n962 5072\n3768 7505\n2029 12161\n9284 11561\n3144 7342\n327 8767\n2131 4125\n1692 9593\n3215 8123\n5436 8504\n3364 10170\n5848 9883\n2603 10846\n4405 7087\n7965 8924\n478 9672\n2369 9768\n5587 8040\n8911 8998\n7666 11300\n1479 3013\n874 3554\n8841 11991\n640 2336\n4844 10045\n4449 9017\n6346 7992\n5630 8256\n7762 9259\n1699 9194\n6934 12117\n103 8279\n8488 11447\n5445 11905\n3341 6999\n450 3514\n8319 8514\n8071 10425\n4046 4295\n1849 4038\n6536 9209\n564 4946\n172 7797\n186 1003\n2026 4644\n4884 10954\n1292 7116\n3937 10616\n6605 9393\n2133 7166\n564 2536\n6427 11872\n325 440\n7508 8432\n8298 9221\n2343 10068\n3027 4032\n503 10583\n3265 5229\n2945 6927\n4950 8263\n6231 8032\n5569 8100\n2593 11292\n6639 8447\n8130 10565\n4566 7681\n2234 2588\n10451 11597\n9847 10757\n533 10351\n5815 7393\n8385 11190\n3787 5136\n1037 8609\n10284 11844\n4368 8204\n2443 8248\n4398 6959\n8550 11443\n4461 11028\n1972 5162\n2062 12093\n3330 8045\n6213 11819\n3945 4260\n3538 6661\n4640 11880\n6090 7097\n6565 6708\n10519 11732\n5352 8395\n298 2881\n2286 12138\n7555 10817\n5189 7142\n1269 10444\n5996 7013\n6380 7442\n2411 3428\n2472 5629\n2183 4055\n310 582\n5713 7224\n2438 4278\n6409 10534\n6043 7273\n1032 4923\n228 2478\n1187 11351\n4196 7541\n59 3945\n3406 12018\n38 695\n3667 10857\n5586 7386\n1488 11653\n942 11324\n8564 10536\n433 8616\n5985 8499\n6736 10404\n1333 10040\n6876 8126\n772 6585\n6113 9720\n3304 6669\n38 11272\n1447 2767\n957 2355\n3135 10867\n3648 7513\n4118 8288\n127 2411\n7666 9577\n8628 9820\n875 3143\n8055 8692\n3175 10187\n5555 11654\n4121 7441\n6552 9450\n10297 10676\n1650 4626\n1270 7315\n556 11158\n2993 10535\n3887 6804\n3222 8374\n2595 9852\n5751 6335\n9467 11881\n4293 10069\n7422 9993\n2167 3584\n1771 8503\n3496 7251\n3722 4348\n7231 8652\n723 1018\n7368 10503\n2006 5061\n3326 10248\n7473 8661\n6036 9629\n566 12072\n7324 11744\n9011 9256\n7870 9729\n1952 4731\n227 3742\n1608 1964\n2798 10257\n7479 11295\n3311 10919\n2363 9465\n1079 9640\n1500 8003\n4586 5293\n2956 11710\n8096 11866\n3491 8516\n147 5937\n4280 9231\n4216 10240\n1944 7541\n1422 11424\n60 1098\n6547 11111\n3679 8565\n9497 9602\n558 9740\n1773 3035\n1125 1891\n2479 5294\n4411 7572\n4465 10165\n6822 8673\n4350 4549\n5049 5703\n3396 4792\n2261 5235\n6433 8069\n2454 9950\n8822 10572\n2370 3854\n6367 8424\n2066 11097\n4853 11078\n3773 7820\n1778 4154\n2545 10903\n7054 7168\n5840 6283\n7402 10006\n1438 4906\n4527 11911\n3017 11270\n4333 7967\n3359 4984\n926 9752\n2520 6487\n1749 3026\n9132 9827\n7646 8327\n5107 9319\n1499 9082\n4227 4614\n1767 7040\n1463 2493\n1283 4102\n1222 6422\n2195 4480\n978 6858\n22 7607\n1922 4418\n8749 11462\n4670 10628\n356 1686\n5723 8310\n1261 1472\n3277 5433\n6750 9512\n1829 11732\n4547 7839\n590 6202\n2784 9471\n2910 8561\n2649 3344\n5843 10373\n5235 6219\n4747 6048\n1318 10478\n5640 9796\n6994 11140\n4624 10060\n3008 9426\n11060 11258\n5366 5424\n5959 6977\n7154 11510\n1013 4360\n4664 10314\n3351 9881\n2975 7399\n993 10746\n1185 2397\n9752 10524\n4987 5385\n712 8652\n4830 7142\n7316 9920\n80 5839\n4772 6616\n4653 7814\n944 5354\n6054 11844\n6937 8567\n365 10378\n6753 8866\n7624 9788\n6330 8746\n8076 10994\n7141 8876\n6540 6570\n10259 11452\n5766 6284\n4977 11736\n3669 5152\n833 1043\n1928 6326\n4353 11471\n1148 4224\n6514 10648\n1040 8632\n3724 9346\n2732 11870\n7827 10834\n2963 7762\n6543 10373\n2567 5019\n3115 7633\n4605 8160\n3075 3514\n3170 10578\n5675 7075\n2746 11365\n72 9261\n1746 12072\n9975 10727\n1834 2859\n1930 11748\n4207 10251\n3149 11311\n4207 11876\n4123 5505\n1911 10743\n336 1451\n2890 11384\n3264 6445\n3289 10627\n264 2065\n408 8985\n3107 8934\n765 11919\n277 11285\n9200 10276\n940 4105\n1283 5472\n6805 10729\n3110 8911\n1216 11584\n2025 9607\n128 3588\n3036 3808\n573 8675\n687 6133\n244 2109\n3344 11184\n2520 4334\n1176 1583\n963 6528\n6542 9700\n2390 5979\n7413 7727\n6937 7983\n1349 2905\n5397 9316\n4646 10703\n9504 10744\n2796 11652\n426 3715\n112 6763\n3707 7173\n35 4569\n6897 7354\n8869 10864\n698 9970\n3411 6269\n3711 8272\n6340 7168\n2274 3344\n849 6234\n3178 10286\n2199 7768\n1250 4326\n2822 5711\n3503 5013\n9691 11656\n3639 9344\n7109 7903\n5304 7956\n3538 10043\n756 4986\n6037 11642\n5673 8164\n6239 11987\n9516 10244\n1985 9808\n7108 9254\n1854 5167\n5167 11589\n1639 9846\n7578 8258\n3570 5789\n377 5358\n8262 11668\n5424 7383\n5456 9285\n1154 7305\n2426 10392\n288 9030\n4557 10433\n5059 5328\n3943 10452\n8316 11085\n292 9269\n847 4691\n9627 11782\n642 3946\n2597 5163\n1822 6041\n2692 9051\n9836 10306\n7590 8830\n371 7452\n861 9315\n1084 2434\n1541 10537\n2085 11524\n2136 7698\n9566 11293\n6511 9896\n4392 4486\n6508 7355\n456 6104\n4143 8982\n2702 6191\n3985 8214\n4324 9004\n1201 7710\n1844 6338\n6615 8640\n2861 12095\n972 9262\n9990 10924\n105 10143\n8714 11975\n3635 11868\n8645 11565\n4902 7056\n8716 11444\n7409 10800\n976 3344\n13 10706\n9084 11923\n2695 3366\n4117 4246\n2350 7479\n4887 8309\n4424 9743\n9316 10866\n171 11631\n3669 6465\n2426 4183\n4565 7199\n3377 10644\n1623 6055\n3196 5917\n8535 11718\n10017 12189\n218 3839\n1859 5413\n3973 9600\n2145 10959\n9060 9275\n2533 8168\n4785 9204\n9270 11703\n531 6389\n3119 5213\n1504 4404\n94 7742\n2135 2312\n3461 11987\n4206 10432\n5257 7287\n1129 10529\n2487 7184\n3472 10006\n1222 6757\n2657 9914\n2768 7174\n3952 7722\n5716 8627\n658 1103\n274 2466\n6503 8757\n1648 5782\n7358 9095\n3841 4587\n2397 8745\n1517 3767\n6256 10061\n5123 8362\n1467 10275\n4476 7450\n7917 11790\n2 1740\n2658 10422\n8827 11414\n8127 11361\n977 8384\n2943 11363\n1105 1180\n8379 10288\n2734 6167\n3009 6963\n7214 11199\n235 11732\n1016 2531\n6864 9642\n1155 5355\n3551 11424\n6237 6781\n8708 12066\n7169 8799\n170 10968\n1838 7009\n2007 3345\n6675 6832\n5105 6860\n4392 12158\n5608 10926\n2897 11684\n7137 11266\n24 9788\n3233 11768\n5164 10232\n8045 10097\n2315 3472\n2659 7648\n9468 10071\n561 1339\n6780 6845\n784 1511\n10970 11367\n1834 10163\n1396 9577\n9267 11778\n3314 6057\n4585 11256\n6128 7679\n4999 9719\n2551 12027\n5292 6393\n38 2226\n4106 5997\n1762 3629\n735 1475\n7769 8138\n617 4717\n7821 9514\n1019 3079\n7729 10638\n2133 6834\n7436 10244\n5255 12025\n10136 12085\n1811 3332\n1231 2197\n3639 4416\n9345 9883\n1241 4908\n3359 11192\n2300 8260\n8354 10535\n3111 3966\n4895 6750\n5083 7338\n9437 10540\n8302 9820\n74 9019\n4472 10059\n3537 9322\n9023 11970\n4883 12038\n4708 6267\n4909 10000\n4330 7142\n3027 3975\n3076 6284\n2866 11447\n7950 8046\n2596 10312\n3487 9774\n2385 5272\n259 4974\n1227 9084\n1949 2451\n6337 6623\n5809 6681\n2473 10789\n3158 9566\n5385 6408\n5333 11523\n2097 11581\n710 11699\n5572 9180\n2341 3270\n3357 10905\n9485 10583\n1804 3672\n6710 11918\n2614 7662\n9024 12175\n4406 6958\n1641 11249\n2332 8490\n8279 10979\n2275 7477\n217 4600\n4996 8947\n4187 11992\n148 3039\n1193 10923\n120 3604\n8990 9971\n1961 8720\n7813 10292\n6648 6956\n579 9695\n6879 10365\n1699 7290\n3533 4528\n3948 7830\n8439 12085\n2713 9514\n996 11244\n446 3269\n4715 10696\n3155 10381\n1176 4051\n2626 10254\n6543 10385\n6489 9206\n10560 11138\n7115 11155\n5711 7076\n771 4051\n7421 9982\n3299 3541\n1482 5013\n468 12127\n6927 7732\n4615 4811\n3006 3788\n2765 11838\n6537 10495\n2552 8459\n5544 11600\n9125 11484\n1921 11991\n3014 9945\n5847 8440\n3376 8620\n652 9277\n6814 8621\n4061 4080\n3182 12045\n2658 5935\n3597 11618\n3107 5158\n176 6302\n2569 5640\n6396 8423\n3571 6713\n2165 6605\n289 10777\n2824 4086\n2805 9047\n1385 11037\n3531 5415\n1087 2590\n2314 9718\n2032 10302\n1099 5613\n2648 11015\n5162 8049\n9045 9670\n4717 4984\n6157 6504\n1477 1772\n4488 8083\n898 3982\n8384 9632\n2562 10187\n1289 5058\n726 6044\n5604 7024\n6429 9263\n2800 6144\n2190 6385\n5058 9035\n5445 7666\n2519 6195\n13 641\n904 7594\n9035 11030\n2292 9123\n8441 11708\n4964 9936\n9884 12192\n4709 7681\n6251 7216\n8190 10247\n8387 8607\n7489 9970\n520 5331\n1402 5062\n5724 7348\n4423 5821\n3254 8041\n2132 10242\n4253 11862\n2116 6694\n5119 6928\n5366 9961\n6605 10606\n5015 7133\n5610 6616\n3616 8510\n2994 11378\n2057 4134\n2223 6384\n3910 7658\n5952 6916\n9643 10497\n1412 10072\n5675 6102\n550 2698\n4899 5092\n280 8810\n3831 8153\n3936 8576\n347 9026\n2656 10351\n5709 11540\n2912 6057\n5799 7565\n4362 9203\n4910 6278\n2619 10008\n4279 10501\n2373 2575\n8313 11189\n2711 4704\n1176 4577\n2952 9467\n139 2267\n11349 11812\n3930 9081\n2450 7342\n6758 10609\n3021 10634\n7579 10471\n4827 10285\n3552 10509\n8616 10954\n4628 9676\n888 2672\n7397 8609\n3196 4442\n320 4220\n3929 10799\n8729 11076\n4754 5004\n4454 9052\n7757 9461\n6407 7416\n2001 11117\n4736 10727\n1858 9045\n3899 8248\n1964 7439\n3019 4629\n4163 6492\n4436 4645\n3434 5598\n6939 8092\n3518 7384\n702 10468\n6751 8003\n3179 9286\n3047 6332\n390 7940\n3537 5447\n7839 11588\n9687 11041\n1995 2197\n8155 9997\n840 6844\n42 9997\n2956 8057\n3354 9319\n1587 9540\n10148 10991\n5577 9216\n1785 2060\n10507 11608\n9875 9960\n7117 9340\n5715 6439\n6182 10573\n3884 4594\n3119 8445\n56 8166\n1817 11373\n4115 6934\n4436 6851\n3145 7220\n10341 10439\n3886 8324\n8529 11877\n8254 10907\n6135 12012\n4125 4618\n8108 11335\n4204 9003\n3425 5951\n5674 11884\n457 5444\n3985 11723\n134 861\n6631 12158\n5247 12091\n4916 7145\n1824 6151\n1046 2696\n1753 1781\n6477 11503\n2832 6167\n1491 7787\n3437 6103\n3280 10993\n1074 11022\n4422 8579\n5531 5704\n4797 5761\n3351 6686\n3400 3828\n641 6325\n1743 5459\n2658 10693\n6260 10165\n425 10501\n265 6349\n3256 9556\n1731 3919\n7240 9020\n2841 11610\n1805 10082\n3260 9994\n2709 4324\n7550 11123\n1667 11138\n2428 11285\n7224 9844\n1394 6578\n2124 4077\n7986 9096\n8272 11963\n3028 5468\n1518 8133\n6546 9741\n4368 4908\n2237 9818\n1853 5610\n6288 7370\n2714 7829\n5166 7577\n3036 10921\n3315 11068\n2980 8616\n6412 10441\n2989 11731\n1568 3539\n4838 7641\n10371 12087\n190 12103\n5577 9820\n8678 8837\n557 6447\n5476 11875\n2192 4465\n6873 11448\n6601 10413\n7550 8757\n7976 8113\n9048 11599\n4077 6325\n3433 4692\n8246 9407\n11752 11863\n3288 8952\n3046 3281\n1329 7165\n3190 3387\n3573 6359\n3582 10243\n3582 8459\n2327 11022\n2976 10577\n566 4161\n2875 6299\n7781 11322\n9155 12165\n6573 8290\n8675 8782\n4537 8051\n5436 9875\n626 9839\n595 1285\n3707 7009\n681 5692\n4746 6669\n6431 11256\n5370 9947\n2589 3724\n3972 8241\n5960 6044\n3731 11829\n6095 8334\n4453 11114\n1906 10409\n4551 4705\n1672 3484\n2772 10009\n1077 4726\n1194 2396\n1287 8597\n2541 4607\n6940 7776\n6934 9474\n9939 11763\n8858 9175\n2237 6360\n4648 9159\n3504 11826\n133 8842\n9283 10338\n2885 4718\n9227 10934\n3178 8126\n5947 8084\n9080 12049\n719 1110\n1612 10795\n872 11044\n641 11276\n3464 3530\n93 10632\n440 8127\n5488 11203\n5352 9611\n4027 10217\n7561 9240\n162 1880\n734 2858\n1874 2143\n1976 8053\n4182 7025\n6079 7922\n7739 9421\n28 2583\n5033 5306\n10889 11455\n1018 12139\n97 5309\n1540 4617\n1804 3935\n5135 10226\n4921 6560\n6284 8783\n1337 10818\n480 11934\n5615 5691\n7056 9048\n1684 2139\n4318 8353\n4074 11003\n5417 8005\n5448 9753\n6808 9278\n8183 8411\n7643 10003\n2163 8555\n569 3989\n8927 10008\n4881 9707\n5606 10991\n1865 1909\n7774 7810\n8750 9795\n5327 11711\n2474 10423\n5431 9050\n845 9964\n3843 8270\n403 4800\n5243 7593\n9197 11350\n10719 11378\n5650 11377\n351 6422\n398 3990\n341 6976\n3832 8889\n6429 8244\n3441 8759\n5975 7084\n387 11148\n1750 7565\n682 11839\n1912 9516\n1302 1634\n934 5984\n7375 7451\n2203 11180\n5999 10138\n3123 5476\n4452 10028\n1810 6580\n3708 5793\n3633 11867\n2868 9878\n3003 7573\n1141 1600\n7741 9487\n905 9754\n3237 10509\n4730 6835\n3161 7074\n9053 11522\n83 4399\n1827 5218\n9266 11737\n1442 4231\n636 5559\n3078 8728\n9142 10719\n434 7327\n5459 5843\n3066 9906\n248 9782\n4256 7399\n3210 10642\n3889 7216\n3524 6372\n8782 10143\n7802 10828\n8598 10012\n6274 9077\n10159 10680\n296 9186\n787 9908\n1469 3142\n908 4991\n6816 10060\n443 4494\n6195 6985\n6190 8547\n4687 10370\n798 2470\n637 8981\n7196 9409\n653 3534\n3944 9738\n5370 6078\n6075 7502\n2168 10950\n5234 9208\n9539 11931\n3604 10080\n10399 11905\n4259 9408\n8463 10849\n4511 8535\n455 6489\n2644 12135\n8055 11297\n185 4377\n1205 4623\n4331 11866\n2583 9578\n8479 11808\n2214 5584\n2548 5432\n442 9123\n890 2434\n7399 11548\n2689 6047\n3809 7488\n4954 6066\n4470 10446\n3242 10614\n6167 7112\n5176 8929\n8536 11442\n8591 8814\n1655 11523\n2146 4705\n7945 11279\n2547 5646\n2721 7967\n225 10865\n5769 12067\n6976 10612\n2694 7074\n7573 9001\n7539 11536\n2917 8024\n118 4186\n2349 11146\n539 3564\n4616 6990\n1262 11933\n6814 10382\n5340 7125\n1666 2445\n4239 6817\n5062 5488\n7966 10829\n339 8888\n4314 8785\n661 1890\n3027 4289\n606 6521\n8658 11250\n2921 4328\n9197 9245\n4706 7692\n1715 9091\n8189 10206\n6851 7544\n5065 11984\n4363 4437\n7841 7947\n4478 7221\n3606 11621\n2358 8277\n9987 10342\n169 9480\n2304 2560\n361 10068\n6907 11200\n2586 11027\n239 3061\n4685 8074\n5082 9060\n506 1783\n1071 10019\n959 9558\n6540 9384\n4442 5517\n4584 8223\n4909 12111\n1517 3715\n945 7434\n4308 7541\n1703 9378\n807 11710\n322 4706\n8573 9908\n2188 7927\n841 9974\n1088 9559\n3764 10874\n7244 8096\n3592 11514\n10340 10887\n139 6543\n3907 9504\n8559 10082\n249 11302\n1281 10446\n302 1604\n5172 7059\n4200 7876\n1364 3433\n1185 10764\n5754 9689\n11 2962\n4382 8617\n10408 11050\n4825 11014\n9297 9809\n960 8405\n4565 5746\n3256 7323\n2049 4737\n2072 7046\n1241 2484\n5271 8089\n1546 5922\n2995 4350\n3098 3688\n728 7732\n4422 5463\n1848 4245\n3053 8067\n1665 8279\n1496 9760\n9223 10067\n6323 6800\n8497 10754\n791 2451\n4392 5626\n5379 10785\n2254 4028\n9345 10365\n1923 5782\n934 3027\n3764 8063\n5027 6868\n4863 5371\n1291 9621\n3800 8444\n6922 7718\n1345 11411\n4576 8240\n6869 10183\n4614 10321\n735 6121\n985 1189\n1750 3826\n1201 6818\n1815 7902\n2221 11484\n3746 11722\n1607 6156\n9240 11176\n7805 8604\n3358 8564\n4360 11516\n6653 9035\n7489 10742\n809 8185\n949 1794\n6973 10006\n9948 10469\n1127 6162\n7374 9034\n2610 5779\n3205 4549\n944 9319\n6048 8349\n2420 8048\n4709 5447\n828 7860\n3181 5078\n8326 12048\n381 9248\n3377 4763\n3452 12116\n11831 12184\n6372 6628\n5923 7997\n5446 10656\n3190 10899\n8156 11479\n951 7555\n4559 7633\n4574 9836\n7795 12033\n6122 11261\n779 8592\n4588 9361\n194 9268\n510 6081\n1339 7572\n7732 11405\n3177 9367\n316 5245\n1039 6572\n1886 5114\n1044 1168\n4633 5228\n8227 10204\n622 1071\n9499 11981\n9115 12017\n821 8128\n2879 10129\n11260 11766\n4703 11150\n4737 10304\n4904 8764\n9181 10736\n1245 5207\n5264 6831\n3554 3778\n10235 11675\n5374 6049\n2751 5070\n7579 11429\n4254 7969\n6060 9947\n4354 11044\n8001 8272\n2742 9596\n1745 5269\n950 5269\n7163 7683\n1544 11927\n2616 3526\n5993 7028\n353 7267\n2277 3676\n6452 7423\n3330 11868\n6782 11872\n7102 11641\n3679 7215\n2587 4617\n6811 9655\n5802 11548\n1119 7284\n628 9278\n3943 5229\n1381 3537\n560 5229\n554 5164\n8863 11253\n3272 10162\n3517 7695\n10048 11584\n9081 10539\n1583 6251\n6606 10336\n5657 11702\n2561 5931\n2597 10727\n1970 6869\n1805 3955\n3179 6706\n2239 8821\n5480 9200\n8834 11909\n797 4929\n5930 7092\n6807 8556\n3312 5221\n340 3286\n1039 1884\n4874 8402\n1207 7071\n3175 6072\n9988 11240\n901 6478\n3129 6660\n7382 8468\n1416 7208\n3855 6620\n271 4942\n4321 5055\n1377 9008\n1160 7203\n7887 8056\n4997 7797\n6423 9314\n982 1027\n10234 11256\n2547 5117\n3054 11527\n8515 11571\n163 8251\n3469 4758\n249 7158\n997 7100\n1929 9141\n2534 12030\n1451 2281\n7878 8107\n6549 8159\n6893 6991\n10560 11792\n1523 4463\n1659 2945\n180 11365\n2262 7430\n5445 8204\n110 11883\n504 1953\n2853 10939\n995 2629\n7056 11437\n3922 7672\n113 7866\n3128 4242\n1763 9088\n4136 4784\n7622 10521\n3796 7079\n956 12171\n2904 5949\n8657 9269\n7218 10106\n598 9781\n9452 9758\n2706 11845\n4388 4464\n6802 7580\n1444 2465\n35 11982\n2255 9272\n1246 5016\n10646 11417\n10041 11735\n242 3030\n3576 5863\n576 3534\n5856 10757\n4102 9591\n2954 8780\n10086 11795\n439 9493\n7593 11868\n6928 10987\n4271 9723\n5151 11271\n944 11076\n3385 12194\n8670 9387\n8275 12053\n1444 6757\n3072 7250\n7602 7901\n7737 11316\n1657 8333\n3628 8335\n2166 4886\n6351 7228\n4621 8507\n9383 9878\n6269 10573\n84 9311\n4148 4733\n1491 4574\n1848 11852\n4205 5907\n7638 8072\n4205 10075\n1177 2911\n11272 11423\n382 1011\n6068 9901\n3552 4880\n7505 9260\n1318 9798\n8226 8966\n4812 9095\n4544 7361\n2519 5318\n5419 11185\n4981 11268\n4847 6757\n8588 10847\n7555 11351\n5438 6934\n4101 8835\n7151 10012\n3104 3168\n1148 6219\n3158 3876\n5908 10185\n7719 12129\n4473 10271\n7130 8020\n445 4344\n6400 12161\n977 9077\n511 9676\n7586 10484\n1325 2684\n6337 11201\n1186 1671\n5474 10812\n4408 9449\n2107 6325\n2330 4630\n3536 8064\n3703 10911\n7625 9602\n1078 10731\n8381 11612\n767 5283\n729 2092\n2095 4037\n9450 12159\n8912 11003\n4573 10732\n8788 10145\n9396 11890\n453 7160\n4546 12008\n997 5391\n1859 8163\n4519 5728\n2442 6934\n4633 6080\n6889 7679\n1584 8430\n8745 10146\n864 10690\n1561 11820\n2675 4161\n679 7962\n9486 10402\n2427 5362\n5523 9080\n2082 10536\n693 6629\n1891 6410\n5441 8791\n5899 11972\n1021 7094\n1612 8357\n4675 9502\n2866 8879\n728 7452\n209 6611\n3531 8239\n7785 10959\n4296 8802\n1309 9346\n2641 11597\n4255 6088\n2078 9910\n7186 9545\n8299 8564\n1098 7053\n6655 10121\n3764 9161\n2160 2189\n2935 8133\n3260 7041\n5263 5853\n8407 11091\n4729 6723\n2804 7274\n2251 6639\n325 9968\n11083 11801\n100 7972\n6272 8904\n3097 3490\n6213 11502\n8191 11784\n4365 11326\n878 9370\n9248 9304\n4952 5050\n1985 3446\n4913 11130\n8361 11947\n1534 11607\n6079 12155\n7360 10931\n387 7705\n730 9091\n950 5171\n1133 5598\n5292 9378\n2234 3033\n2701 6469\n8 9106\n6383 9521\n4936 9313\n3668 4830\n1332 4504\n7339 8161\n1769 2336\n1052 4055\n7662 8810\n6531 7926\n1927 4126\n1419 6773\n2252 3199\n9190 11699\n7567 8226\n4018 7053\n8630 8652\n306 11291\n4440 6746\n7362 8757\n10399 12014\n9368 10610\n4898 8481\n3188 4248\n394 3155\n938 10740\n240 6766\n6425 12192\n4162 6333\n2688 11252\n2310 8852\n10645 11478\n3592 10669\n248 10062\n4243 10329\n1930 10205\n9506 10944\n5916 11415\n5037 8304\n293 4521\n6557 9746\n3389 8715\n5536 6512\n10517 11681\n4632 11193\n6277 8341\n5767 11961\n4835 7745\n4086 9194\n6653 11791\n6815 7936\n4838 8254\n6347 7547\n1348 11896\n917 7643\n886 11258\n2158 3020\n4705 6655\n4047 12068\n1325 5659\n1474 1683\n2972 9762\n2724 10380\n2454 10287\n7731 11940\n6781 7286\n2483 3077\n8430 10597\n1346 9578\n1018 6802\n10774 11550\n1269 12048\n691 8468\n4408 11198\n2269 4845\n4452 10196\n3313 8639\n1913 3439\n1817 7635\n4056 6508\n9234 9348\n4240 8875\n2907 7891\n1442 3949\n4203 8561\n4531 11410\n1523 12097\n3123 4058\n1755 2360\n1271 1924\n1676 3661\n448 2097\n5451 6581\n2063 6206\n4742 11034\n4185 9054\n5045 9360\n6681 7203\n6264 9708\n2714 9700\n4508 9900\n2022 11425\n5808 9934\n1832 11764\n6062 8065\n444 11772\n3696 7957\n2920 5338\n636 9945\n6034 10353\n4236 8587\n320 8220\n10277 10945\n6221 10784\n3730 3884\n4896 5787\n6361 6660\n7858 12096\n542 9049\n1016 8196\n5670 7187\n7498 8244\n986 6901\n2966 5514\n1729 9860\n11804 12159\n8740 12031\n7123 10015\n4125 8476\n1265 10547\n5091 6564\n2205 11486\n4989 12051\n5911 11548\n3611 5454\n1426 2279\n766 5883\n2811 6257\n2629 7023\n5705 9046\n5709 8724\n9351 10950\n7366 9371\n7386 11138\n4114 4195\n285 12056\n3453 6337\n7487 11892\n223 7354\n4315 9249\n7392 8032\n7213 9048\n1092 6767\n5223 7453\n2349 3253\n2446 4103\n2649 4326\n6375 8382\n837 3014\n5319 5706\n707 2365\n2394 3568\n10059 10430\n917 11822\n86 6514\n958 4872\n3009 7274\n2156 3740\n4992 5288\n3849 11504\n2931 6697\n2906 7417\n875 9831\n7777 9454\n4458 7644\n5107 9447\n5931 11020\n10736 11411\n9475 9994\n5521 7114\n2749 5697\n5498 6390\n814 9068\n727 9236\n637 7908\n3894 5921\n1614 11253\n6241 10252\n60 11707\n3796 4174\n3013 9148\n6589 11022\n573 8170\n6434 7316\n6626 7832\n688 8738\n7349 8507\n1440 11286\n8946 11063\n3192 11663\n952 9788\n1473 9513\n7949 11551\n36 3837\n1099 10331\n4793 11195\n2568 9620\n795 7044\n6398 10619\n5971 6249\n2611 9103\n6986 9451\n6601 10198\n4460 9273\n4644 9633\n8178 8552\n3910 8458\n1554 3036\n3837 11688\n1805 8291\n4063 10193\n397 2349\n4781 10096\n2600 6385\n2884 4703\n5623 6796\n1112 11224\n3529 4616\n11011 11018\n10107 10867\n2695 10694\n855 8078\n4114 5304\n1117 7924\n2911 4661\n248 8546\n6602 11572\n1122 3486\n493 1715\n1023 1749\n5707 8900\n5289 9195\n6784 11707\n8563 10189\n8896 10852\n8682 10685\n10016 10834\n8137 10281\n3099 10446\n3923 12058\n6172 9965\n8137 11888\n7220 8800\n1915 11532\n11421 11485\n8287 8453\n1069 11093\n10101 11562\n11041 12089\n10654 11951\n445 1797\n1207 9402\n4326 11650\n148 9191\n3356 3472\n1794 3355\n9090 11548\n6140 10877\n6327 6503\n2819 12086\n1204 4538\n2203 6105\n2455 7420\n8531 12190\n6489 11801\n7838 7921\n10795 11501\n6283 9350\n5645 7270\n7468 11864\n1906 7589\n2389 6780\n6707 9537\n8384 9035\n8891 11691\n10068 11107\n2865 7291\n6621 7027\n477 8059\n3749 9309\n7515 9056\n6526 11763\n4473 8181\n1506 10248\n2582 9922\n3673 4216\n4345 7223\n1201 3600\n2832 3183\n1348 9951\n4499 11088\n8625 11672\n7269 9110\n5119 10028\n2057 5456\n2898 8055\n2941 4706\n4524 6496\n1929 9349\n1483 4473\n2250 10487\n2149 4397\n9234 10797\n2045 2781\n3865 10411\n4882 10808\n352 11044\n7747 9654\n3753 6639\n5750 8198\n3030 8047\n1238 10720\n9294 11105\n126 3991\n2957 3973\n4017 5574\n7170 9061\n5808 7911\n10080 12155\n252 4474\n6370 7671\n3288 7480\n806 11845\n10553 10969\n337 11232\n6793 11352\n894 9445\n3159 9218\n2076 9893\n5906 9459\n6143 6670\n7114 9031\n2784 6708\n3137 3847\n116 6910\n1835 6242\n5954 8328\n3378 3394\n3981 4235\n7150 8525\n9235 10774\n11775 11859\n8108 12153\n5971 10410\n949 3379\n2702 6185\n6069 9818\n5658 9935\n372 11901\n1651 3358\n933 3288\n617 3128\n7915 10855\n2945 9859\n1780 2846\n8982 10801\n1523 5415\n6623 6813\n8599 10524\n2145 10828\n4876 11685\n5694 5759\n10194 10659\n9859 12149\n3815 8255\n4331 6490\n1067 5383\n10732 11740\n6500 9931\n4401 5896\n1552 2675\n8338 9226\n333 4248\n1150 8320\n7741 10657\n5573 7126\n50 5199\n10318 10629\n737 9861\n54 8558\n1448 1838\n2089 11828\n2511 4936\n5652 5900\n3097 12056\n2641 6372\n10202 10213\n6822 9205\n3736 9210\n2974 3972\n10358 11984\n6809 8540\n6584 11629\n4030 9729\n4026 11224\n5468 8486\n2240 2319\n739 9385\n7260 11904\n9461 9792\n7117 10461\n5455 6382\n2164 8350\n2548 11734\n5948 6562\n1536 2146\n6427 7479\n5628 12151\n2182 10159\n431 6767\n6689 11697\n9378 10862\n4487 7866\n2208 2393\n3029 8675\n3956 8722\n3347 8147\n8767 10009\n2864 3304\n559 10173\n2801 11671\n3462 7803\n8240 10661\n2828 3821\n6285 11389\n6368 10034\n5061 6706\n2596 4150\n4521 7780\n479 3248\n1741 11683\n1138 6939\n517 5522\n1554 9470\n2323 6378\n3336 9289\n9698 10527\n9118 10677\n4150 5555\n6445 11054\n7372 11579\n461 4311\n1761 5980\n3313 5345\n368 6270\n4642 8474\n3254 12014\n3163 4842\n115 4377\n329 8855\n1718 3030\n385 9191\n2095 6564\n4439 5673\n3314 12184\n4213 5934\n3043 12130\n11076 11306\n1374 5149\n6315 7956\n8098 9603\n5985 11947\n7780 11828\n1194 1333\n5008 6368\n7546 7991\n4267 5121\n9845 11658\n3295 6124\n3975 10378\n9704 11994\n697 5403\n2547 9594\n9120 11886\n3869 7066\n2753 3897\n348 658\n5658 7492\n1818 9510\n3473 9987\n1583 9445\n8997 9352\n5596 9470\n6192 7710\n4239 7392\n4715 4951\n6019 11651\n1837 4075\n9389 11459\n8229 8744\n5691 9340\n10325 10741\n5325 7303\n6761 6870\n2204 8665\n3003 11681\n7725 10060\n6242 7719\n3719 8679\n3371 9819\n8013 10681\n3352 5566\n9707 12102\n7385 7832\n1188 7335\n5108 9765\n7210 7779\n6781 8797\n846 6382\n2788 12082\n63 604\n1545 5369\n502 742\n6253 11822\n1680 7912\n3314 7450\n4174 6648\n1724 10783\n5105 10686\n5354 7511\n3838 4021\n11557 11627\n878 4535\n3385 6535\n125 8068\n3000 10084\n4397 10858\n6573 10412\n4725 11336\n472 9286\n4192 6559\n2948 4749\n1443 5485\n4420 8176\n7100 7889\n7827 11213\n10117 11430\n5424 6815\n277 9223\n4311 9013\n3863 5724\n2805 5055\n263 11929\n7511 9955\n4586 9959\n2618 4834\n2266 3538\n619 4154\n4711 11929\n1728 10734\n2693 11667\n2772 8337\n5453 6401\n2649 3664\n5826 6760\n5775 7202\n1362 11550\n3982 10706\n2248 11069\n4943 6370\n2792 12090\n6725 7286\n1451 2720\n9348 11690\n2003 10054\n9977 11532\n3233 5611\n64 10813\n6309 9385\n5084 6497\n5181 9333\n3585 9093\n3901 4520\n7283 9901\n4057 10847\n3052 9597\n1207 4374\n7436 7983\n7893 11015\n7505 8652\n2350 5057\n2306 6301\n1812 7834\n6245 8074\n3283 10249\n1955 5730\n2209 12178\n559 6020\n2498 9302\n47 8198\n850 1283\n3575 11136\n8182 11296\n5444 8522\n7150 9336\n7692 12064\n1235 5390\n1394 8403\n6452 9649\n4312 11231\n1009 3468\n3591 9049\n1373 2968\n7927 8791\n7767 11690\n2402 5913\n2073 6112\n910 11291\n2072 7801\n722 1268\n10638 11710\n1217 3776\n8801 9988\n3 8835\n11011 11026\n6393 7718\n1225 9794\n541 11275\n5160 10702\n2966 5386\n4247 10483\n4923 7642\n2108 8303\n7976 9051\n1728 6387\n7129 9211\n4696 5675\n6748 7527\n4775 7447\n2123 3767\n2546 6612\n7205 8370\n7456 10307\n406 9382\n7911 8821\n8542 10184\n3223 3283\n2330 8252\n5048 6797\n5528 6063\n3397 5927\n859 12125\n1349 5443\n6725 8352\n1720 8281\n2600 9099\n10 1322\n5050 5637\n8486 10491\n6422 9792\n556 9575\n9229 11651\n8769 10059\n39 11666\n3744 8088\n11627 12163\n7239 7515\n3583 11269\n659 9623\n182 10285\n803 10435\n7898 10735\n268 6144\n691 10012\n3178 4548\n2076 10960\n762 4584\n5515 5954\n9942 12131\n4339 8813\n1870 8677\n1286 5460\n7928 8380\n104 2727\n900 1090\n2060 3994\n3816 5027\n2357 7311\n4087 5522\n422 5357\n1300 7370\n4798 12022\n6744 8686\n1163 9680\n4603 5182\n2584 4174\n5317 5597\n7998 9752\n1940 5966\n296 6880\n3437 11457\n3266 11283\n5105 7923\n2997 6470\n5551 6501\n2097 2608\n7760 8221\n6341 8560\n832 6017\n4160 11864\n1509 11760\n2035 5425\n4339 4601\n10486 11192\n5058 8217\n3765 7262\n487 4761\n8783 10976\n2803 6921\n127 8737\n149 9545\n8349 11044\n6640 7707\n6081 11787\n9005 11825\n9648 10877\n1810 10080\n2543 11330\n391 3546\n1431 8438\n4659 10698\n858 7025\n5444 8588\n3128 4011\n5128 5907\n6991 9419\n4687 6996\n9388 11368\n6156 11149\n6425 8886\n3130 11442\n4422 7918\n6622 9320\n3028 10045\n5070 10937\n975 12042\n1076 3130\n1166 9848\n3650 4074\n1195 2944\n10153 11375\n9033 10894\n4790 8911\n7692 7703\n82 5074\n4424 7441\n1207 11988\n1373 11411\n6909 7629\n858 9359\n2738 4921\n3189 5321\n10996 11891\n9347 11446\n3558 11606\n4636 11307\n9467 10771\n9763 11070\n6210 8884\n11167 11275\n9171 11495\n10053 11050\n5608 9463\n1630 5823\n1531 9003\n9526 11767\n437 6260\n8296 8999\n6520 10971\n8878 11573\n3956 11473\n2123 5499\n3950 6454\n10954 11308\n4824 5679\n1223 6171\n4095 5811\n2784 9501\n3966 5870\n10858 11250\n3584 6988\n5170 10934\n493 4909\n11039 11593\n1063 10774\n954 6397\n2246 8871\n858 2909\n5641 6037\n5095 7361\n10683 11205\n6415 11722\n6802 8558\n4721 6131\n1111 9260\n3502 5817\n7457 10652\n1454 10816\n3552 8179\n10362 10365\n5625 10256\n5121 8337\n3547 10038\n2117 10610\n5295 7888\n7610 10630\n25 1550\n3249 8242\n3726 10786\n1475 5703\n3735 7853\n4030 7747\n17 6299\n7091 7476\n3924 8794\n2670 10787\n7731 11024\n4910 8180\n2759 10394\n7943 11993\n8915 10338\n2188 9102\n432 5278\n4957 11799\n2729 7245\n1614 3471\n6523 8475\n5859 11565\n1927 8072\n11067 11538\n5166 6469\n8947 9824\n1705 10798\n5875 6418\n9158 10937\n4203 7310\n2175 9070\n305 2583\n10753 11228\n6160 11603\n9833 11387\n5075 8265\n154 10864\n186 9089\n3344 7991\n5592 7212\n782 10327\n384 1284\n6048 11683\n6312 9172\n5595 7052\n3957 4504\n3541 8301\n1262 3016\n2501 8502\n1473 10599\n961 5415\n3638 11030\n2126 11135\n6371 9610\n4019 6942\n7473 11183\n2260 7452\n2153 6301\n1975 2033\n934 2521\n4042 9869\n5659 8307\n6414 10678\n4278 7120\n6627 11322\n86 5445\n4563 7478\n2896 11127\n2840 3901\n1463 7323\n1090 1144\n8618 9567\n3570 9276\n6406 7253\n10106 10248\n4541 10258\n7637 8033\n9410 9435\n7942 9981\n4409 5568\n269 5403\n6127 7712\n4290 6402\n1766 2113\n4215 4979\n5571 10928\n4654 9764\n6989 7493\n917 11798\n4233 11209\n4873 5542\n872 11492\n5177 10014\n116 321\n1767 11238\n4452 10792\n1637 5504\n1639 3991\n8636 9720\n2876 4146\n780 4806\n8844 11242\n7422 8105\n1934 8983\n5679 7266\n717 6648\n5869 10211\n5511 6068\n4821 6295\n10347 10961\n1676 4736\n3148 10849\n2104 5731\n4760 8015\n642 6457\n412 5224\n383 508\n393 3708\n4749 9601\n9421 9425\n4070 9440\n2024 9353\n1470 4010\n6011 7019\n10312 11708\n2264 3194\n6705 7137\n2012 4142\n757 3207\n5544 9918\n8271 11753\n7417 8583\n2169 4135\n4788 11100\n3461 3829\n4306 7530\n6267 9982\n5339 9642\n393 10127\n276 8433\n4214 6646\n4708 5541\n7189 9237\n6301 8406\n49 5383\n3749 10270\n2304 10101\n3613 8288\n3354 8605\n6305 8529\n1814 9455\n2513 10894\n613 4346\n9344 9838\n465 1706\n435 3015\n8953 10776\n2200 5117\n11057 11305\n778 9575\n4920 11968\n6607 6912\n4626 8785\n6966 7429\n5230 7629\n8090 10639\n5303 7948\n7237 8025\n5514 5987\n3348 9771\n3540 5353\n2546 5521\n970 6172\n2117 8008\n1416 1743\n1443 3429\n4625 9597\n5000 7917\n2858 4412\n139 11166\n1325 8101\n4655 7975\n1037 1634\n6280 6970\n8041 8098\n2443 3627\n4967 9677\n601 1862\n4297 9184\n4392 11979\n19 11857\n1969 2527\n3450 3475\n212 1410\n3407 11009\n3413 11239\n7926 10039\n3614 4642\n4865 5190\n2432 4534\n5250 11123\n883 2198\n2220 9558\n2665 8384\n7184 11223\n7614 10187\n4658 11987\n5402 9444\n9066 10976\n7784 10476\n5124 9923\n3265 9764\n5354 11428\n936 2630\n236 10536\n8607 9826\n7041 8483\n1578 11190\n3802 11052\n3242 6344\n431 10015\n5720 6597\n8873 9878\n6377 8675\n126 9829\n3306 5877\n3304 4882\n970 2999\n4822 5928\n3444 6123\n2952 7024\n3402 12056\n106 5615\n3391 8820\n1997 10466\n2089 8882\n2636 8633\n682 2171\n53 3416\n1555 9419\n3998 8168\n9281 10580\n6081 7809\n670 11668\n4303 5970\n836 8097\n534 6907\n2415 6589\n1016 11892\n3018 5953\n5318 9346\n3227 6943\n4663 8104\n530 2125\n2817 9877\n7830 9614\n1888 6771\n2002 8112\n1592 2617\n2019 6769\n725 10529\n8662 11946\n6226 11081\n737 1292\n3089 9764\n950 4351\n137 7305\n3456 9120\n48 5694\n5120 6979\n731 10633\n3593 12180\n1511 11141\n4751 8445\n1508 8260\n1308 10819\n446 10464\n2072 8244\n10728 11613\n1767 2189\n2168 9216\n6293 6593\n2717 11019\n9703 10743\n6481 8551\n6787 11993\n9181 10878\n3562 9124\n512 2860\n1089 7623\n3912 5946\n5119 9815\n6260 6842\n8661 8921\n9436 10337\n7979 10894\n5958 9395\n5482 12108\n1809 3125\n6053 9444\n4929 11265\n9624 11285\n726 7510\n1613 2874\n3187 3440\n6952 9934\n7510 10282\n3224 7982\n10198 10275\n2637 7205\n7101 8666\n2932 6246\n1583 4487\n2308 2330\n5310 5489\n4449 10788\n87 1991\n8671 9749\n695 7739\n1815 7460\n2264 5333\n4360 9267\n7790 11796\n1309 4067\n152 8577\n8500 10463\n7458 7611\n6358 8205\n9690 9967\n7325 7431\n6634 10601\n3307 6094\n3191 8088\n4147 7192\n9899 11620\n6444 10830\n4055 9468\n7626 8813\n9616 11961\n7654 8654\n2724 7067\n2138 6442\n4056 9072\n4834 10673\n3617 4702\n1651 10418\n4154 12094\n2413 6950\n444 9988\n7861 8893\n2898 6734\n2728 2922\n856 8822\n897 7764\n9241 10989\n8636 9975\n2253 2500\n8 1055\n8012 10224\n8244 10503\n5240 6303\n121 5701\n7347 8497\n6040 8601\n256 10284\n3272 11573\n597 3113\n2377 6113\n3718 12088\n4169 10460\n6633 10387\n2074 9582\n6465 8241\n3859 5631\n4016 6523\n3513 9960\n3580 11734\n10128 11422\n2456 4911\n2797 8049\n6773 6916\n280 574\n707 7787\n6323 8236\n817 5478\n3663 6298\n4325 8355\n2432 3462\n4819 8530\n5056 8491\n8671 10401\n3706 8855\n9841 11162\n434 6972\n3839 10636\n2052 7207\n4727 11277\n1923 9745\n2016 2361\n121 6432\n8340 9144\n2798 8808\n2877 11254\n5340 7545\n1258 10016\n3871 10153\n4222 7632\n240 2727\n3459 3528\n891 2855\n299 9971\n7152 9336\n4243 4762\n11638 11924\n2385 10997\n3466 11257\n6519 10483\n3838 7056\n1734 8006\n6329 7327\n8783 10105\n2229 7256\n2460 7814\n5825 7713\n281 10073\n5734 10374\n7082 8942\n5388 6940\n5461 11376\n10169 12087\n5253 7107\n441 1187\n3775 8675\n4429 11872\n7464 11762\n2204 3690\n166 7720\n634 2436\n7521 11539\n637 5056\n3457 11158\n5345 6923\n7420 8713\n2346 6766\n1673 9593\n2466 6123\n6944 11557\n3688 7662\n778 9356\n4533 11132\n4455 10492\n3391 4010\n3039 8443\n8374 11512\n332 4578\n4287 5876\n838 11139\n170 2571\n886 11306\n5810 6652\n3537 8475\n5076 9306\n1406 8222\n465 2973\n1683 11936\n536 11433\n8313 11397\n7042 7093\n3202 7287\n556 10874\n4203 9417\n2442 11159\n4094 6800\n9309 11142\n5265 8760\n614 6225\n1514 4109\n2275 4333\n3068 9053\n2233 6075\n705 4618\n6210 11443\n189 6069\n10776 11793\n562 10059\n122 9116\n7456 8027\n157 7164\n717 11222\n1123 2283\n115 2695\n1393 3710\n4667 12046\n32 9589\n2832 7650\n597 2943\n3891 9434\n5905 6071\n3546 8278\n6129 10202\n1925 5585\n4598 11252\n3859 12003\n4403 5601\n7081 11317\n765 1939\n2548 4146\n4389 9241\n6825 8752\n2069 8088\n6349 7959\n677 6839\n9203 9740\n8719 9651\n1280 9183\n5406 10854\n1710 7573\n2522 5780\n3480 11365\n1176 11771\n11379 11478\n395 1097\n7185 10456\n9153 9994\n5639 9978\n2998 9004\n570 7559\n5614 8513\n2284 4489\n5092 10226\n2006 3703\n4373 4967\n4262 11116\n249 338\n3237 7834\n9132 10629\n1563 6455\n1167 2447\n6785 10245\n9065 9926\n872 8027\n9455 11514\n693 11783\n2841 5661\n4942 10962\n6913 9323\n2753 8812\n2027 11863\n2541 2936\n6870 12069\n3947 9498\n6224 6513\n1618 11518\n1482 2605\n7884 8289\n9284 11646\n6592 10063\n5321 10546\n2948 9469\n684 12108\n8608 9841\n2953 8772\n6259 9632\n5280 11647\n2321 8663\n5295 10595\n6958 8901\n316 5097\n4325 11208\n1938 7171\n1344 3590\n1695 12107\n793 6676\n5416 8726\n901 3132\n3691 5604\n26 10435\n3681 6742\n1573 10966\n4029 12007\n2968 5716\n8538 10894\n447 5617\n4399 10581\n4060 9257\n2148 3039\n1866 7527\n178 5423\n2893 10697\n4300 5861\n844 9838\n7893 8144\n1792 6514\n159 4410\n2141 5648\n3688 8707\n4541 11595\n1592 4457\n3072 4594\n8257 11521\n6514 7597\n556 562\n6240 6551\n4743 10398\n2843 6513\n2634 7054\n6669 11981\n4444 7259\n1872 8601\n3964 4347\n2277 6298\n1775 2357\n1619 9787\n9853 11659\n1509 4542\n3973 11362\n7801 8346\n1844 9465\n5350 11021\n6486 11381\n571 3955\n801 3724\n5788 9964\n818 11723\n216 11044\n2729 10000\n3731 5639\n445 11241\n1007 2112\n366 470\n140 7381\n5622 7457\n2718 6974\n1952 7828\n3282 8501\n3413 5428\n2814 7748\n8887 10626\n37 1903\n2588 12008\n7199 9558\n8826 10592\n2592 11924\n3006 9053\n1932 9454\n8888 10742\n1805 12142\n2890 10337\n3556 8033\n5822 6174\n1028 8536\n3049 8523\n6351 7803\n3631 8338\n3485 3962\n173 4874\n6198 7161\n3907 11983\n7286 11506\n1590 2759\n6110 11308\n2884 5027\n7897 9025\n8369 11289\n8197 11736\n958 6538\n3233 6477\n617 3485\n558 3415\n2492 7753\n10125 11960\n6960 8383\n4073 6717\n2008 11354\n4726 5029\n5900 9752\n2121 2902\n6271 8134\n3062 7151\n5216 7294\n3654 6803\n7744 11952\n3688 7490\n508 9600\n3459 8288\n10823 11087\n8374 9590\n694 11084\n5873 6242\n9093 11108\n2746 10502\n5299 11777\n7356 8760\n3358 6259\n1993 11832\n402 5082\n1330 3213\n7981 11215\n582 8159\n3104 3547\n1998 3046\n1102 1798\n3634 8413\n6755 9450\n8632 10791\n6326 11754\n1426 4566\n6175 10447\n3766 5745\n128 2833\n2450 11866\n3163 6242\n2064 7517\n10977 12003\n2975 11577\n5184 5189\n3162 5719\n3159 5013\n6098 8009\n508 5174\n3222 6347\n8843 9080\n6624 9622\n467 1017\n635 7309\n1857 7422\n6305 11438\n246 8302\n4724 7480\n3683 4984\n3373 5438\n7586 10647\n568 11161\n4617 6228\n1570 3669\n9582 10396\n1827 2701\n1201 3046\n499 3304\n4571 11674\n6436 6875\n2945 11709\n2681 10689\n4338 9622\n1238 8138\n3368 7522\n170 3336\n5616 7883\n5474 12020\n259 11181\n8786 12029\n4024 12160\n2529 7441\n11080 11647\n3423 8412\n6706 11267\n7124 10219\n691 5683\n2428 4444\n1925 11804\n2168 7710\n6698 8953\n636 5428\n3211 7482\n5017 5034\n538 5300\n7772 11316\n4697 5253\n590 1844\n5231 10300\n2291 10838\n2834 7172\n892 9343\n5922 7774\n1012 7590\n10176 10391\n4583 9065\n175 1796\n898 4075\n3698 3958\n1724 3672\n1148 8933\n2158 11546\n868 5271\n417 7745\n1164 9531\n5384 5728\n537 9620\n289 969\n496 8197\n338 5125\n3241 10105\n8828 10953\n9 918\n3628 5225\n1278 4799\n3785 4730\n1941 4838\n3070 9327\n2957 9668\n8180 11166\n2165 2821\n258 9349\n4934 8684\n3723 12019\n6198 10742\n5413 9159\n907 7943\n225 10588\n678 2396\n6426 9677\n6102 11252\n9220 11358\n4991 5631\n3990 11091\n8529 10464\n4918 11297\n1340 9201\n10476 11725\n4849 5791\n258 11838\n2036 7054\n2808 7318\n6664 7426\n986 3613\n2135 9306\n2564 3900\n8570 11201\n2754 3500\n1514 1699\n2572 7300\n6637 8689\n6482 12163\n9071 10231\n4152 7805\n4769 5312\n5762 11626\n4180 8037\n5978 8329\n2321 9759\n7127 8986\n4749 12064\n4503 8571\n9792 10157\n1118 11228\n203 1330\n11415 11464\n3200 4675\n723 7101\n6396 9272\n1158 7311\n8391 8761\n6621 11525\n1693 3142\n4704 8508\n5056 6328\n2661 3593\n3480 9981\n1513 8734\n5713 9429\n2701 7150\n1433 3809\n3431 11397\n4015 4511\n3477 5889\n9943 10702\n1210 4248\n1741 2339\n2889 10261\n788 5847\n5257 6299\n8700 10669\n7316 9247\n8614 11852\n3599 10907\n7928 9635\n325 3887\n5675 8515\n1356 12038\n4958 9491\n5974 6562\n3870 8230\n1783 8228\n35 2159\n2521 7122\n4501 4962\n4343 5160\n1773 5212\n1803 2166\n787 3283\n2298 7898\n5926 7185\n5159 6398\n7877 10637\n4100 9751\n7423 8714\n2889 4250\n2011 9608\n7198 11769\n3920 11038\n3283 11670\n4322 9762\n6479 8999\n7035 12144\n7163 11252\n683 5447\n2602 10263\n2791 11660\n3333 6776\n5262 9624\n2785 7957\n7484 8547\n2109 5379\n6003 6366\n717 9204\n4394 6239\n8088 11758\n3356 3685\n5215 7938\n1072 9519\n1131 9236\n4070 8380\n10438 11969\n4065 6306\n1960 8809\n4834 11695\n6930 12095\n67 6777\n5319 7554\n3606 5915\n5036 7983\n2825 8152\n2639 5694\n2274 11877\n10033 10610\n11856 12048\n3972 7113\n4853 11883\n1657 4094\n4758 6925\n4150 4697\n9459 12004\n6349 7134\n3786 11382\n8470 11813\n4654 9179\n962 11745\n6656 11008\n4007 5323\n4402 10626\n185 10034\n2254 5050\n4280 5571\n1140 7317\n6615 11577\n857 4045\n2157 11653\n2177 9867\n5342 11602\n8544 9958\n405 4078\n3430 9216\n2253 5169\n5300 10017\n5598 8975\n2215 7832\n8638 11750\n648 5722\n5812 10083\n18 4434\n2551 11334\n1696 1745\n8008 10742\n6839 9556\n7859 11717\n1170 8536\n167 4302\n328 12078\n7515 9642\n2614 11035\n5680 10037\n4760 8963\n35 11474\n10793 11401\n398 2680\n1268 5147\n5749 8931\n3780 6014\n5443 5931\n3735 7589\n662 7033\n3480 11048\n3071 4450\n3499 7026\n7471 7771\n7475 7593\n7882 9907\n3047 6347\n10754 12085\n88 199\n1109 6271\n1797 1931\n936 7509\n3352 6734\n5260 10670\n3781 9470\n144 7397\n1904 11429\n9489 11282\n1053 4808\n572 762\n3707 11687\n2929 3386\n6126 9154\n1893 3841\n1649 6301\n1954 2348\n5334 9135\n1362 8655\n2782 7887\n922 6075\n1853 10528\n7154 8996\n378 4284\n6769 10085\n1151 1610\n2351 6728\n365 10465\n5910 11701\n4539 11721\n2617 3890\n309 2850\n11049 12069\n5109 11291\n260 10280\n1392 7623\n1240 4709\n565 601\n2322 10230\n2970 7535\n4159 9513\n6888 7356\n8793 9158\n5964 7808\n3439 10931\n2907 7661\n6645 11901\n171 8780\n3110 4980\n2840 11337\n2349 6505\n4816 7118\n7900 8630\n6865 12086\n4874 9316\n899 989\n3734 11792\n3730 4589\n2183 7452\n1631 9232\n2542 8775\n1741 5692\n4443 5494\n10048 11309\n939 10217\n4574 7409\n5823 11921\n4105 9032\n7962 9262\n4948 8637\n6854 10186\n4646 11207\n891 10207\n9510 9954\n1472 5964\n2099 8459\n8374 10273\n3413 10453\n33 7422\n10192 10532\n1084 4414\n4710 6024\n547 11304\n3543 6220\n6665 8291\n798 4655\n6198 8406\n10236 10605\n2577 9654\n7181 11066\n1021 4112\n7069 7654\n7339 10037\n6323 7162\n4301 10345\n1095 7332\n2116 8532\n1370 4429\n1387 11826\n6136 9065\n5637 6434\n4203 6675\n1570 9367\n3175 6762\n5887 7078\n273 390\n2043 2410\n686 4403\n10141 11008\n8247 10123\n3626 9721\n8102 8587\n380 2994\n6845 11453\n2626 2956\n8361 11000\n2482 6189\n6036 8974\n348 4133\n751 1857\n8380 11520\n6990 9413\n7639 8139\n2014 5077\n5303 6761\n9995 11555\n8245 8545\n8157 10965\n9807 10474\n3848 8314\n10609 11424\n32 8237\n7244 10713\n1539 11032\n3622 6923\n4162 7052\n2946 7640\n3331 7355\n3001 8941\n5240 5275\n3907 10916\n3643 6475\n606 2971\n1200 9794\n4292 9359\n3928 10528\n4932 8661\n6867 11878\n9302 12189\n604 3630\n7952 11798\n4884 5211\n1899 8433\n2915 5144\n2383 4078\n5559 11810\n4030 10148\n2797 5193\n3035 10677\n7798 9766\n856 5710\n1573 3465\n762 5316\n3064 11114\n6661 8831\n6576 11307\n5105 6550\n1400 9873\n3806 7064\n9864 10391\n1352 5680\n8860 11209\n6102 8289\n3173 9530\n2793 10760\n1739 7790\n4072 9654\n5342 6107\n482 5492\n7202 7822\n691 6383\n318 956\n3540 8752\n5271 6694\n4587 7660\n4008 10710\n10891 11393\n1409 6096\n731 9213\n10047 11421\n776 9348\n9806 11814\n718 7321\n4409 7193\n2494 6718\n3737 11869\n1789 3468\n3482 5338\n2887 6368\n5000 5666\n510 1437\n3919 7070\n6317 8795\n8962 12064\n4454 7630\n11251 11798\n1477 5774\n2848 7103\n2088 7903\n1185 3037\n10348 10474\n4681 10855\n4709 9508\n1231 2641\n1422 6275\n847 12108\n7977 10488\n3900 5221\n1250 5884\n3440 10443\n4601 6670\n6728 10457\n789 8673\n1290 8679\n1320 10853\n971 9101\n2003 4660\n7220 8891\n614 6673\n2979 9235\n4867 7840\n2208 4997\n5546 11612\n985 8642\n638 4331\n6509 9481\n407 1522\n210 4911\n1004 5306\n10044 11423\n771 8516\n472 5581\n7580 11160\n7463 10936\n8324 10445\n2295 8056\n4195 4588\n6042 8471\n6920 8637\n7891 10545\n6907 10611\n6579 7869\n6037 6113\n3849 7204\n1715 9941\n5572 10244\n191 4660\n6776 10808\n3377 10872\n2297 2370\n604 5241\n6580 11008\n4385 8361\n4406 9032\n1758 10941\n1903 4581\n2263 10006\n1199 6958\n2748 7736\n7444 11421\n2593 8764\n6399 10469\n312 10853\n602 10215\n2519 11099\n1649 9145\n4819 6480\n1716 6453\n29 11505\n6733 7878\n10469 11588\n604 1500\n9360 11279\n8388 11021\n3228 8948\n8349 11809\n814 10757\n5833 8271\n6694 10632\n5337 8577\n7471 9532\n2328 10451\n3175 11484\n1081 10060\n5765 10802\n1071 9649\n4089 9661\n5078 12090\n1570 6737\n2358 8281\n1760 8422\n10210 10590\n10262 11773\n1877 1981\n10228 11971\n448 11513\n1249 2563\n590 4733\n1683 2166\n5079 11359\n367 8135\n5203 7123\n2189 4121\n773 4340\n1144 6855\n401 4421\n6561 8157\n3150 3997\n6846 11099\n5262 7020\n1031 8270\n7867 11793\n2765 6908\n7111 8822\n5370 8652\n4261 9097\n6011 10358\n5808 6869\n2745 11129\n5971 7487\n6903 8399\n6084 7276\n6786 10895\n9727 11497\n1075 10532\n2066 12133\n2415 8207\n5586 6591\n555 8265\n4343 5514\n7019 10165\n1306 8443\n8362 11086\n5211 10348\n5664 6065\n3686 12117\n1277 11744\n3534 7532\n2045 4529\n1692 9758\n6255 11119\n3480 3834\n10115 10193\n1898 7085\n3729 9105\n1116 3397\n4699 11619\n7125 9371\n3199 4510\n8647 11481\n2034 11189\n1367 8798\n4278 6187\n761 4295\n9650 10178\n1874 7130\n10116 10850\n3276 6901\n189 5671\n8586 11644\n214 4620\n324 9981\n621 10818\n2700 3321\n4946 11353\n6870 9132\n3415 7779\n5335 12096\n3116 10298\n7091 10891\n5717 7511\n3009 6003\n1053 12184\n2441 9855\n339 6374\n1427 3969\n2166 9651\n7921 9132\n6810 11612\n1207 7069\n8776 10829\n10326 10690\n7582 9943\n1022 9147\n873 9150\n5166 11350\n8217 9351\n9212 10001\n1141 5630\n2530 7685\n71 2253\n1077 3528\n1147 2104\n5587 7184\n1927 10903\n9928 10041\n8326 10336\n3227 4154\n1270 1339\n3501 9152\n1589 10262\n2390 12070\n1346 6546\n623 3398\n2733 5284\n649 7567\n2159 4529\n6245 7002\n2075 5501\n4081 7663\n3439 9511\n3107 4330\n4018 5596\n1767 7414\n8378 10557\n2311 3334\n4127 9160\n8041 10939\n163 6465\n451 5549\n3948 10653\n6242 7501\n937 8535\n2304 6385\n7458 11780\n5235 9095\n93 4655\n247 11510\n5714 8644\n6164 11033\n3538 10498\n1915 9750\n2371 4290\n986 6498\n1136 3856\n417 10974\n10015 10232\n7103 11284\n1496 2883\n3023 3093\n2878 11976\n152 8717\n2997 11584\n2088 3112\n2169 4769\n2925 5984\n4961 10899\n3577 7739\n6675 11189\n992 8151\n1549 3611\n7563 8083\n175 2912\n932 7845\n2893 7076\n390 4820\n6085 10011\n8587 11582\n6561 9953\n361 5579\n566 11334\n1177 5823\n7111 10810\n4242 11002\n2456 4930\n6638 8800\n4913 11761\n403 2555\n6866 10494\n159 4505\n183 4062\n2115 11830\n2456 8356\n4186 9093\n4936 8478\n4021 11825\n1456 3736\n6677 9858\n3166 6859\n5214 9772\n6746 8168\n7696 7968\n3769 12006\n4124 11419\n304 2591\n6547 8542\n2387 5769\n3249 3806\n427 1864\n4971 7545\n307 6753\n8678 10255\n352 6982\n4081 10628\n2037 4338\n7001 7907\n786 5777\n3615 8589\n9941 11559\n1516 9957\n8675 10470\n1133 5413\n901 2307\n5190 9515\n8184 9895\n3621 10827\n1919 4719\n2503 8105\n132 11886\n2583 10710\n4723 8675\n4977 9428\n3888 5116\n5072 8554\n162 4968\n2638 11219\n2394 8914\n774 2532\n3710 6401\n2248 10471\n3378 6127\n10289 11179\n7419 9673\n5475 5604\n4690 7720\n8573 12139\n3994 10876\n5681 11177\n3319 7197\n2293 10041\n4779 9717\n6191 7217\n540 5553\n2915 5642\n1180 11966\n2445 11166\n4326 4753\n10277 11701\n1095 7141\n1614 5340\n6570 8372\n8489 10128\n4693 10851\n2975 10168\n840 10945\n7741 10816\n2628 7502\n6140 8505\n1344 6975\n7423 11811\n4772 5842\n4648 11461\n7365 11112\n2258 10100\n1493 6757\n9572 12192\n2962 6552\n3592 9264\n3488 10021\n64 4806\n3117 4612\n5393 11566\n3786 4290\n4240 10058\n8384 10272\n9876 11213\n2019 4723\n5545 5656\n10162 12148\n2055 8781\n3649 5115\n6925 10180\n2825 6303\n4434 8232\n2583 3612\n601 2927\n815 8817\n630 3750\n360 2981\n2081 7132\n9063 11661\n4806 10304\n311 6458\n2690 3646\n5402 9819\n2683 3708\n2413 4665\n926 2960\n3557 10092\n2728 5610\n6546 10739\n9094 10708\n699 6850\n5688 6253\n73 5454\n8730 9456\n747 11416\n244 7386\n5077 11734\n6135 10390\n4995 11123\n8759 10659\n6096 11642\n451 8050\n6215 6509\n429 5420\n4102 5216\n629 4048\n5804 10068\n5906 8153\n8457 8876\n1588 11731\n8077 10265\n4122 6173\n4850 8879\n1154 11759\n4771 7994\n3533 11548\n5039 6156\n486 1190\n5159 9186\n9597 10599\n1148 12144\n3343 3791\n3261 7665\n6459 11311\n1959 2800\n8064 10054\n2025 8963\n5558 11623\n6741 8030\n777 8660\n66 4442\n4176 5693\n9124 11454\n632 3970\n5934 6904\n1549 8049\n2059 3216\n5655 7256\n2618 8669\n1702 8423\n1541 4872\n816 8052\n1636 5755\n7679 11707\n945 2001\n6173 12162\n1815 5250\n4901 8400\n4423 8234\n7043 11781\n1380 5575\n5916 10755\n10149 11913\n11377 11406\n86 8256\n2240 2825\n5290 7874\n5010 7920\n4521 10505\n6509 10296\n2904 12027\n6075 6950\n102 4960\n512 7247\n8650 11816\n1109 6171\n8804 10782\n6984 7701\n1654 4159\n5416 9572\n1295 7736\n3940 4800\n9194 10615\n6959 9128\n782 3371\n5535 7995\n1093 11882\n5694 12064\n1553 2205\n1118 4934\n6682 9038\n2163 6239\n6269 7417\n1966 5419\n2178 7717\n1729 9463\n3984 4574\n3266 8438\n2209 11088\n391 11392\n8369 9744\n9880 10140\n4040 10309\n2022 11836\n71 11781\n1858 9496\n5251 11014\n5190 10091\n2088 5011\n686 11881\n3866 3892\n786 3955\n1727 11603\n5211 6400\n2452 11223\n3721 12121\n977 5443\n349 10968\n805 1758\n4328 6013\n8649 10431\n7604 11402\n994 4627\n600 4039\n461 5623\n2030 6810\n1968 4622\n2680 6163\n4356 8194\n2307 11311\n4648 5652\n2755 11291\n2838 7550\n2490 7966\n9986 10772\n6132 10696\n2755 10134\n3574 7494\n5136 12192\n6179 6387\n7691 11962\n4915 5718\n2836 11836\n2730 2958\n9703 10165\n5053 5155\n7034 8467\n4842 11150\n8728 10946\n656 11263\n858 7340\n1790 6860\n5902 8250\n1343 3519\n5825 7929\n6840 10322\n7945 7979\n4963 10119\n5643 7154\n5512 10346\n7808 8981\n5820 6839\n5270 8705\n32 4134\n8541 10178\n10711 10842\n9840 11231\n5992 6782\n3919 7568\n731 10632\n8712 10434\n4012 6131\n217 3278\n7981 10387\n1081 3092\n7809 11146\n4775 8084\n8972 9696\n1550 10953\n5082 7139\n3825 7463\n1484 1580\n6220 7790\n10602 10875\n1811 11871\n4648 9536\n5468 6025\n4525 5666\n9452 9642\n2991 8771\n3365 6785\n500 3949\n2048 9590\n2613 8559\n423 10160\n3880 5724\n4019 9177\n2188 2592\n2559 3643\n638 984\n2547 7260\n9955 10915\n3124 6224\n95 9180\n343 12112\n5884 10039\n1300 5912\n5522 8979\n511 2722\n1566 6359\n892 5686\n2957 4515\n7238 11984\n6512 11672\n6005 6814\n4099 9442\n920 11881\n4768 8195\n6336 11748\n7566 9220\n94 3878\n6236 8659\n1338 10340\n6054 10833\n1745 10322\n10807 11818\n1552 9116\n4563 6247\n4300 7303\n1035 10325\n4779 11849\n6337 8484\n315 1971\n4439 11184\n3608 10636\n1013 9933\n10155 10297\n3118 3868\n5722 9796\n7208 11821\n10079 11505\n9365 9498\n8540 11593\n583 11864\n8852 12140\n7990 11008\n808 9505\n1291 7239\n7483 9486\n4314 4579\n8359 10152\n3265 8679\n2081 8955\n486 6796\n1824 9412\n58 7289\n3314 5396\n505 5428\n1219 12043\n4944 11264\n10310 12024\n1727 4041\n2418 4797\n9907 11126\n2724 10519\n1684 9306\n103 4384\n241 10292\n7410 10311\n2712 10988\n6688 10106\n5846 11915\n6944 8215\n4049 11003\n6406 11547\n2316 6007\n8625 11042\n4281 8956\n2336 4046\n7114 7599\n3324 10532\n5827 11435\n10399 11511\n139 10053\n5903 10797\n3084 10185\n2271 9485\n1530 1738\n3836 9661\n11246 11303\n679 2372\n1298 3275\n4677 5312\n2734 3827\n7270 11920\n8120 9319\n4609 7084\n3351 11997\n946 9923\n9405 9948\n4688 11425\n8394 11805\n7789 10903\n8681 10183\n7762 11571\n1027 11544\n6151 8000\n7150 10098\n839 6186\n8694 9638\n6995 7315\n634 5350\n3900 11860\n3463 6617\n1803 7523\n1910 7941\n7297 9119\n2553 11470\n2505 6725\n3903 10605\n894 10221\n4725 5333\n8891 11609\n10001 11549\n266 9830\n2500 3141\n2933 6530\n11223 11279\n1469 3753\n344 2007\n3665 8388\n6507 12012\n6832 8613\n4406 10989\n6354 7611\n4009 6407\n827 848\n5938 10310\n2183 5968\n3789 10989\n1980 11773\n7286 12072\n1739 5773\n4148 10098\n9877 11378\n4518 8699\n2534 4805\n4205 10780\n2816 3412\n4981 10710\n8252 10026\n2699 5234\n10120 10737\n3232 6487\n1783 1850\n5412 11055\n3773 5439\n11544 11615\n2051 5827\n5160 11661\n8005 9666\n5728 9593\n3852 4802\n2406 10641\n4171 9278\n5387 6292\n48 4215\n8347 10709\n8018 10888\n15 5279\n4383 8269\n1829 7465\n7342 10978\n7053 11462\n1997 11351\n1877 3275\n2845 9464\n2258 5911\n1853 9423\n1782 12078\n2277 11818\n6836 9494\n2724 10972\n2099 7249\n1503 7230\n353 7090\n573 4556\n3225 4650\n4224 7022\n5029 10871\n2353 10302\n945 8721\n4444 8893\n3983 9519\n1649 10184\n3328 11586\n2335 5288\n2121 7303\n28 10349\n4667 5178\n2487 3326\n1988 9427\n3235 8553\n5977 8854\n2402 4695\n671 2269\n868 1390\n7506 11152\n1815 5100\n4650 9688\n10409 11802\n32 8800\n1650 9748\n2694 7248\n5408 9521\n434 2247\n3650 7564\n1483 4228\n2355 9492\n10547 11827\n1206 5353\n1020 3029\n1232 6041\n4020 5050\n1359 5113\n1505 4012\n6049 7261\n6034 6642\n109 1284\n3527 7877\n8634 10346\n6655 7107\n585 7396\n3874 8678\n8028 11142\n1420 7334\n4750 7424\n4523 8393\n1418 5586\n3148 5444\n1605 4776\n908 1707\n5333 5502\n2722 3351\n4894 8991\n4847 11732\n3184 4008\n8479 9315\n2603 4877\n1665 6604\n4765 6318\n131 4582\n3680 6658\n3647 7172\n74 1376\n1719 5910\n1747 1853\n5514 9649\n4767 11773\n1273 9709\n5854 12105\n4771 11946\n2930 5115\n5716 6168\n9955 10617\n1775 3829\n9379 9765\n5409 6938\n1210 8913\n1150 2475\n4377 7416\n546 10155\n4251 7051\n8435 10216\n8492 8783\n1845 7580\n8259 11351\n4822 8349\n423 496\n587 8271\n467 2848\n2347 8949\n4596 11820\n6737 9511\n6627 7672\n1823 11603\n1504 9500\n3620 6932\n427 5955\n1526 11682\n5586 11493\n3067 4735\n232 5567\n3765 9814\n1227 2484\n6622 10731\n3930 9502\n2697 11421\n5490 8205\n2049 10629\n752 2467\n990 7989\n3132 9593\n5307 6460\n63 7797\n4812 6471\n3516 3694\n3504 4030\n4478 6304\n3692 4167\n3795 9223\n5129 8844\n436 2872\n4081 6785\n1571 10315\n1453 4812\n5528 10751\n1616 6676\n98 2386\n4111 5362\n360 4676\n2381 10782\n5364 7143\n3146 10194\n1212 3665\n1061 5881\n1543 2860\n3246 11710\n5338 7880\n9434 11550\n4262 10711\n5475 6616\n3489 4496\n5231 9007\n4581 4923\n5630 6468\n4351 11664\n4743 6393\n1780 6701\n1978 10583\n5012 5465\n129 785\n2197 9996\n508 3339\n4444 10482\n1707 9005\n6806 10110\n1442 3397\n524 3979\n9477 10535\n10687 10752\n3485 11155\n3302 10465\n4558 9880\n4577 8565\n5308 6187\n663 3645\n7532 11759\n4149 10502\n5136 11749\n1868 2301\n5432 7868\n4329 8783\n1583 11031\n2107 5755\n2148 9514\n6211 6222\n2786 7840\n2980 3573\n1212 2165\n4046 8113\n5300 9377\n5956 10266\n53 6033\n4305 4682\n4646 11583\n1914 9099\n10076 10435\n697 8458\n1197 11840\n5108 6617\n2450 4384\n5069 6328\n2585 5595\n10738 11570\n8979 11039\n1799 11229\n9496 10677\n615 2181\n3448 5225\n6887 8622\n6720 11797\n3019 4369\n1527 7425\n3973 7378\n6212 9356\n1464 11391\n407 3733\n5734 7135\n5325 6336\n723 7649\n865 9348\n4644 5421\n6291 8049\n4114 4639\n297 4612\n5092 6739\n3532 6637\n5462 8949\n4426 7199\n1627 4171\n5167 6519\n4067 9161\n557 8189\n8254 8892\n2375 11553\n5265 11095\n2966 3920\n9053 9841\n1197 2039\n227 3830\n296 2571\n6771 11148\n8161 11385\n3381 3797\n7489 10799\n4582 9882\n4002 7045\n4693 9822\n514 4848\n11216 11730\n3098 9919\n5955 10990\n8052 11895\n2312 8810\n10619 10828\n1314 4623\n769 4150\n1953 8062\n4799 8542\n5940 10852\n7588 9976\n8228 9009\n3693 7598\n1476 11305\n4044 9643\n7882 11756\n7837 7928\n2104 6988\n350 10831\n5713 5957\n5239 6676\n33 9191\n4846 8763\n5041 5170\n10215 11137\n504 3135\n3277 11276\n4145 11419\n8063 9538\n163 3236\n2748 5680\n179 10032\n1884 2460\n105 6666\n3984 9378\n7556 11931\n6679 9828\n9297 10533\n1328 10447\n3281 9792\n400 8172\n4827 8483\n5486 10699\n4557 8758\n7703 9525\n3831 4204\n2532 9651\n7553 7895\n1751 8262\n3424 11519\n3691 9855\n9096 12046\n1101 7784\n11681 11843\n808 9275\n4606 8502\n9433 10253\n5590 8901\n7942 8521\n1307 5384\n9040 9956\n5648 8781\n7057 11485\n3020 6326\n8756 11593\n3709 6849\n878 11326\n8987 12148\n250 5712\n7449 7467\n3512 5603\n1359 9063\n4454 8300\n2124 3186\n9662 9828\n132 1344\n4079 5690\n6083 10360\n5254 10158\n6855 8262\n6279 7380\n2145 3578\n8022 11434\n7668 9137\n1881 3971\n7059 7829\n1310 10510\n2475 4984\n2745 11889\n846 8427\n2416 10036\n4179 5142\n3878 4019\n4677 7240\n9724 9819\n2229 11760\n4360 9152\n3756 4018\n7784 9660\n174 175\n2149 8076\n6513 11885\n1854 3321\n8311 9951\n1288 6223\n10109 11748\n5436 5829\n1628 2319\n6172 7365\n9024 10621\n8775 12006\n1468 5249\n2083 5723\n96 1270\n10697 11482\n3898 9641\n5307 6097\n7945 9935\n5552 8768\n3263 10935\n5171 11269\n3891 4302\n640 10445\n1134 7183\n2721 7724\n1065 4233\n881 7359\n2697 10930\n11470 12178\n6113 9724\n365 3332\n2569 8928\n5201 10922\n4522 4549\n4854 11124\n7170 10991\n1472 3834\n3786 6283\n1265 9365\n1459 3418\n2811 3802\n1513 7807\n305 5734\n4788 9580\n3252 5296\n475 10070\n4755 10438\n6528 8871\n1887 3885\n1739 5831\n10559 10857\n6153 9120\n9243 12009\n3531 11201\n2854 8927\n6770 8082\n885 10664\n2560 2820\n517 9795\n4795 11741\n6609 7239\n10200 11299\n5158 9467\n6474 11283\n1781 9430\n8804 9376\n5235 6412\n10238 10911\n5557 6272\n1654 7430\n2800 3422\n3531 10334\n2674 6811\n6180 7553\n940 4002\n5645 8291\n1605 7073\n1593 6266\n4942 9779\n8588 9054\n5801 10705\n7532 8294\n9184 9299\n2111 4819\n6577 10634\n498 9571\n10145 11675\n7420 9725\n8609 10271\n1502 4532\n769 1042\n6852 8951\n4428 8192\n1109 8152\n5041 8159\n5878 8343\n572 973\n5346 7804\n6658 11223\n2069 7025\n902 4007\n4262 5989\n530 6230\n6145 8036\n1369 10920\n9101 9807\n8894 12159\n1315 9495\n1744 5688\n6663 8022\n3882 4071\n2557 3971\n5341 9783\n4006 9677\n8904 9490\n1328 6054\n5731 10106\n7037 10826\n8977 9143\n11242 12195\n2523 7760\n3943 7788\n6821 8081\n1698 8605\n3964 4363\n6814 7296\n455 3732\n1068 2846\n4698 5729\n7496 11452\n3478 5351\n5409 10627\n6595 8765\n7344 10800\n3103 5826\n6173 11005\n5803 9035\n42 9068\n3481 5035\n2695 11233\n4405 5581\n2067 4071\n4529 8960\n8514 10615\n3700 7918\n1854 2401\n297 1278\n4904 10981\n2818 8233\n3827 5441\n2614 8964\n346 10574\n349 2311\n3488 9861\n9120 11722\n114 8854\n653 2316\n1652 5683\n2304 5737\n2371 8525\n8294 11855\n1756 4559\n2095 6940\n5272 7763\n8901 9944\n374 3504\n5931 11297\n9041 10760\n2287 10563\n3077 8119\n4423 9567\n7433 10305\n6562 8747\n793 2641\n2425 5191\n1082 11304\n614 6737\n1048 5221\n5131 8711\n4802 5895\n7989 9243\n5863 9433\n6630 9578\n6116 7126\n2223 7608\n8529 9475\n5418 9108\n389 7559\n1974 6670\n3059 9481\n6449 8848\n1697 10560\n2930 5216\n7513 8770\n3397 4771\n6674 9240\n5228 7842\n2527 6033\n3281 6550\n1557 9952\n1452 2266\n2770 11022\n248 9552\n539 9761\n7411 8795\n6786 7182\n1712 10154\n3790 5939\n8468 10166\n4743 8950\n3043 6801\n1302 10171\n6946 10767\n1147 11535\n6623 11624\n6863 11007\n3133 8142\n345 7799\n5107 12095\n8749 12119\n6612 12196\n7008 7296\n8514 11672\n766 3439\n6708 9363\n7299 8735\n2535 7797\n288 5616\n3451 6962\n3728 6000\n5404 6419\n10023 10570\n7353 9849\n6409 8781\n4426 5319\n2750 3907\n6330 9668\n1838 9096\n74 11442\n976 5485\n5803 7308\n7917 11475\n1464 5605\n1093 3529\n457 5764\n4254 6582\n625 9783\n3518 7977\n2487 7992\n6281 7401\n1336 3383\n2660 7307\n7562 11325\n6953 7286\n2945 6066\n1780 2434\n7049 11959\n6080 6752\n7538 7995\n1319 10410\n1660 9425\n6496 11175\n7074 7411\n7401 9461\n2772 6294\n1201 6291\n3530 10536\n3323 8948\n4747 9377\n1979 2676\n6230 11763\n4628 8768\n1704 6208\n6723 8882\n3522 9025\n882 12140\n2566 5832\n6302 10891\n2296 9004\n1950 3981\n10953 12022\n5971 6892\n582 11101\n5250 8727\n1834 2568\n5774 5959\n9352 11262\n1664 9461\n2612 9445\n2420 7135\n9685 11443\n1073 5824\n3861 8129\n2792 9529\n9294 9754\n232 7484\n7654 9637\n1927 12150\n5288 11902\n3680 5221\n9811 10076\n9267 11136\n703 10219\n2047 3187\n7034 10475\n1301 6104\n1374 11077\n7950 9698\n2760 5984\n7001 9334\n2815 9329\n2418 6009\n2265 7158\n8307 9699\n436 10021\n296 5379\n4648 11590\n4465 6150\n8990 11543\n2088 6147\n1022 8231\n6642 11984\n5823 11734\n4760 6222\n1145 9525\n731 6131\n6946 10622\n2270 10132\n7846 10661\n7302 10369\n7533 12048\n2395 8457\n3719 9998\n5988 9113\n224 9100\n749 10055\n5470 5505\n7090 11928\n2040 4645\n3730 4918\n1397 3961\n281 1522\n3203 5695\n4481 10025\n2894 3972\n402 7704\n3229 4874\n1061 10555\n5318 7645\n853 4592\n8481 10307\n140 9526\n299 9496\n9123 10091\n1222 5540\n9540 11437\n820 6844\n1787 2588\n2315 5106\n1039 3339\n396 11481\n1609 7885\n4740 10720\n4510 6175\n2254 8168\n2459 4704\n368 7010\n2556 4046\n8490 9815\n2210 10678\n386 2374\n7196 10266\n200 2483\n2816 7487\n5218 5681\n285 4127\n1221 2231\n3085 3159\n464 4276\n1843 7880\n4825 10770\n5097 8420\n2813 10014\n7922 10167\n8117 12184\n3492 9123\n1698 5663\n3679 5482\n1768 5697\n10532 11574\n9907 10107\n426 6096\n6430 6550\n5132 5224\n1480 7598\n623 8281\n8402 10433\n2755 3806\n4195 6634\n8834 9350\n1291 11227\n3850 10152\n6360 7851\n4478 5327\n8393 8762\n3882 4535\n9975 12079\n3385 8946\n3605 9511\n4087 12186\n1892 5869\n247 5457\n5257 9134\n2999 11221\n1501 10049\n5245 11573\n1603 10247\n6514 11478\n1497 6769\n8201 9119\n5698 10061\n2081 8355\n1986 8142\n7457 11286\n2359 7562\n3394 6890\n547 4848\n4592 5374\n8013 10058\n5094 9308\n2747 10099\n11093 11117\n8312 8374\n2841 5906\n3687 9780\n6840 7099\n3066 6422\n5946 8514\n2313 10194\n1160 8691\n7079 9254\n3233 5722\n4337 6466\n3305 9077\n129 10203\n6585 8293\n5759 10280\n1376 8278\n3732 3855\n7683 8593\n4151 6826\n5754 10894\n8898 11288\n5450 9588\n808 9065\n6683 7980\n8010 11227\n5880 6541\n2629 8089\n1770 8852\n2659 10571\n4395 10687\n6978 12012\n2558 2747\n1969 6003\n2120 3755\n2531 9266\n1498 2242\n4410 6163\n6478 9102\n1751 2288\n482 3453\n7057 8874\n580 12050\n376 11639\n3217 3843\n1820 5468\n3588 10973\n114 11192\n3871 11549\n541 2461\n10806 11376\n1781 7341\n11230 11924\n3343 5993\n3655 8620\n1893 2455\n8579 10921\n4129 6448\n3726 10877\n4582 11267\n321 6588\n4109 9924\n3218 3612\n971 3766\n2987 6445\n2849 6171\n6824 9420\n1677 4845\n6660 9293\n6716 9865\n3992 11708\n6935 8615\n2081 11762\n1823 2263\n4461 6167\n1640 11853\n3248 5961\n7025 8552\n3497 10861\n9706 12077\n418 3160\n2377 8875\n115 7085\n7016 9682\n4977 5283\n5252 9848\n5398 5472\n3465 6298\n2390 4527\n8396 10169\n2985 11228\n7542 10567\n874 6871\n4263 5250\n1499 11057\n3045 8705\n10630 12144\n1963 9205\n4251 8790\n9133 12076\n6882 11968\n10390 10582\n8578 9254\n2755 9716\n3816 10012\n2682 5822\n2991 7280\n4569 5084\n212 8429\n4934 9067\n5071 5215\n1645 3673\n1694 11815\n4441 6129\n2062 11839\n5707 8685\n1526 3679\n375 5960\n8080 10442\n1445 4269\n3663 4842\n5878 6907\n1416 6009\n4730 12110\n2233 7717\n4435 4492\n400 6572\n1267 7330\n4851 7872\n7371 9987\n5334 6874\n2567 9487\n1136 1491\n1519 11434\n2440 6956\n1787 12171\n1005 1349\n5640 11871\n1485 10063\n6945 7926\n3706 4324\n5552 7701\n290 7056\n5170 5178\n6174 8823\n6479 10188\n90 5714\n3219 6325\n40 9663\n8433 8978\n11064 11114\n9484 10459\n1363 5471\n9330 12170\n8430 8712\n3233 7153\n7021 11631\n3209 6504\n1463 4410\n9106 11891\n238 2583\n4893 8945\n2123 7507\n6037 11269\n1405 7725\n6806 10890\n4697 7480\n3423 10805\n603 5116\n5614 7469\n2481 9742\n2243 11818\n77 10591\n1122 9248\n3100 11519\n1877 8099\n948 1059\n4512 10357\n1515 8577\n8808 9263\n3872 9188\n1299 11600\n5901 7333\n3243 7379\n1114 5006\n5011 9594\n5376 6055\n8768 9057\n414 7922\n2770 4677\n3087 7632\n1169 3515\n4146 7036\n249 9472\n7955 9977\n3019 4579\n9452 9947\n4285 6685\n5804 8508\n2489 3803\n9698 10138\n1107 6724\n488 5393\n9812 10693\n5740 9186\n851 9346\n7349 11232\n513 10383\n9879 10439\n1299 6033\n1056 7206\n2334 5390\n4797 8722\n1295 5720\n941 3609\n1415 4469\n4385 9784\n5247 7584\n10806 11170\n7135 7641\n8690 11181\n7428 8546\n732 1640\n5394 9974\n8370 9268\n4017 4049\n559 1007\n188 7639\n3683 4685\n2724 6851\n7709 8447\n2142 9536\n4744 6231\n2807 4553\n1000 6994\n3671 4577\n4514 4962\n7 7573\n5307 11904\n553 2831\n269 3387\n8187 11293\n718 9553\n1713 11059\n4596 5731\n8508 10257\n536 9229\n8260 11100\n8293 11849\n8344 10053\n10583 11391\n2992 3384\n4708 6730\n2596 9413\n1735 5369\n888 1723\n1759 3166\n6493 11865\n3305 5738\n658 3941\n2029 12184\n3677 11440\n3149 9793\n1198 5483\n4513 8727\n37 9900\n9452 9900\n5653 6066\n1922 5711\n9885 11933\n236 2675\n6913 11723\n8631 10031\n1786 8896\n2018 7969\n10366 10933\n625 9775\n265 6339\n3994 9372\n1655 10791\n862 4793\n673 6010\n1442 5905\n293 11722\n6687 11180\n1019 9819\n1186 5390\n6632 6807\n2689 6285\n4522 9084\n4141 10963\n1842 11811\n2302 3320\n5667 10926\n3322 10859\n679 10079\n4822 6880\n2564 4899\n5478 12157\n7917 9378\n9467 11246\n842 1397\n3595 10755\n1209 3417\n4243 6027\n5871 7841\n3827 11529\n8246 9222\n2998 4509\n5611 6846\n5289 9926\n2218 2375\n3689 10295\n7795 8674\n2981 12070\n6772 12093\n2584 9602\n1360 2899\n5879 7144\n2210 8757\n5252 10496\n200 8632\n1680 9335\n7388 7573\n4169 12044\n1076 8076\n2722 4527\n9110 9284\n10285 11995\n1101 7394\n6302 8134\n1033 10299\n1406 10705\n1383 8018\n4469 8567\n8786 9962\n9222 9822\n3180 8083\n3436 10213\n2314 8827\n408 4178\n8391 11925\n4884 10548\n874 11465\n69 9559\n1868 9655\n11090 11960\n5270 5418\n1207 3030\n6708 12092\n335 7698\n1987 3712\n195 7618\n4161 7880\n5286 7980\n3067 6926\n9786 11887\n2213 7362\n2862 8892\n11084 11529\n4046 10955\n10612 11834\n5998 10480\n6859 11017\n1280 10269\n7627 11828\n636 7061\n1364 3018\n2843 4562\n1427 1937\n3341 9965\n4973 7547\n962 5451\n7039 10033\n547 9705\n145 1711\n7257 10710\n105 2716\n8318 11344\n7252 7294\n7801 11649\n8248 9770\n1466 5908\n7168 7626\n9657 11158\n5698 8053\n1932 6540\n7318 9476\n11064 11544\n5703 8400\n8776 11903\n2568 11289\n1679 5791\n8696 10646\n1912 10996\n7280 8004\n5002 11878\n3268 9380\n2750 4475\n1865 11915\n2689 11819\n470 2967\n503 518\n5102 8644\n6790 9526\n4719 5465\n6779 7949\n7488 8834\n9152 11156\n1167 1439\n4694 5980\n1547 9405\n5161 10359\n1977 9406\n6383 7963\n4568 9962\n8099 9930\n4610 7516\n10080 12138\n7657 9345\n1879 5708\n5628 10217\n4356 6981\n535 4933\n9712 9841\n1410 3383\n2487 4623\n1467 4547\n3391 9249\n2134 9638\n511 5852\n3587 9278\n1159 1770\n3002 6108\n4876 6842\n986 996\n9821 11890\n3319 5278\n1870 8799\n4903 7017\n2159 3313\n3921 11563\n1937 6596\n6225 7763\n2663 5717\n2049 5324\n4194 6095\n262 10304\n327 10707\n35 2156\n1333 5475\n4203 9686\n5714 11551\n1457 8466\n5193 9732\n1220 10008\n4192 8926\n6996 10601\n9809 10663\n6032 11829\n2575 4955\n2654 11598\n8421 11383\n4092 5767\n5719 6566\n4092 9882\n3502 11845\n6050 9266\n3394 8926\n1442 4277\n7254 11420\n4427 5832\n4078 11272\n3683 11479\n7691 10769\n4052 8329\n159 7712\n388 927\n5523 9035\n5646 6280\n4904 5219\n9916 10722\n3874 5103\n4383 5955\n4313 11265\n3081 8782\n10492 10701\n519 744\n6431 8919\n8055 11791\n4081 9031\n4168 5686\n2005 10046\n2706 3603\n1383 11520\n3532 10298\n6608 7171\n6571 6612\n4541 11499\n4392 4970\n3076 7298\n1480 2186\n4028 9775\n861 2884\n3074 7037\n4015 8456\n10218 11057\n6036 10021\n7252 11711\n2664 7431\n709 6112\n2478 2528\n2356 2436\n6111 10393\n2077 11188\n2136 3544\n2895 9772\n4379 11467\n6786 11193\n4025 10760\n11878 11891\n3268 11887\n2754 3188\n5577 6894\n3289 11134\n5923 6338\n184 2029\n6150 11018\n1425 11679\n2424 11142\n4861 5230\n1379 6039\n7422 8075\n1919 3964\n3586 6459\n632 9348\n4805 11405\n10416 11552\n7197 10287\n350 5209\n5950 9262\n6218 11132\n4033 9030\n7274 11012\n4293 11312\n1845 6570\n3399 4449\n926 7745\n5636 6858\n2077 7667\n1362 5917\n3212 11531\n2867 5267\n10201 12098\n579 10889\n2712 8424\n1724 4007\n1741 11755\n4830 11494\n642 9087\n1309 5997\n6675 6833\n6053 9643\n4062 5283\n7670 11577\n4302 4836\n4459 8718\n3673 11526\n6182 9118\n7337 9476\n829 10233\n2784 4615\n1752 7616\n673 6259\n3631 11635\n8254 9292\n5334 5972\n642 6067\n10573 11075\n2840 9721\n5279 10595\n2959 7482\n7751 9033\n385 5452\n7877 10263\n2258 9909\n11132 11973\n4000 7153\n2541 3655\n1244 6517\n2298 3874\n2700 11177\n5536 7199\n7028 10775\n2495 10572\n7443 11577\n2739 6614\n4005 9872\n9654 10364\n8216 8398\n3719 9859\n1899 4310\n4770 10831\n7383 7456\n1409 12146\n3553 8259\n339 1858\n554 8360\n6530 7008\n3566 12168\n9802 12100\n960 2511\n702 9582\n8672 11106\n2494 3280\n6323 7919\n2213 8939\n2305 7513\n1916 11785\n695 1698\n5590 8004\n6441 9900\n5482 8030\n11246 12094\n422 1988\n5962 9572\n7920 9827\n3110 5750\n10798 11832\n3497 3649\n2673 3863\n1013 1112\n2505 11736\n1394 6292\n1723 6467\n3635 9870\n2637 9857\n5117 8692\n2836 9725\n558 9258\n7446 12042\n344 6828\n2435 7818\n807 1002\n5470 8906\n6129 11883\n2972 5113\n2373 9783\n8978 9320\n3506 12183\n2521 9565\n334 6756\n1748 1767\n5213 7545\n5121 8430\n371 4701\n2676 9438\n7372 11512\n6179 11107\n2913 7550\n2446 6244\n10940 11862\n7443 9902\n1620 8879\n3660 9731\n3562 11942\n3760 12156\n591 2407\n1749 5710\n1379 4360\n5789 8933\n10318 10400\n5260 7615\n700 10595\n1282 7231\n10220 10473\n1732 6391\n9983 11340\n512 10598\n6111 11781\n2153 7847\n5082 7566\n2472 3127\n2948 10947\n2523 3311\n7201 8375\n2042 8835\n4175 10190\n324 420\n3894 4404\n9280 9936\n489 9626\n1423 8584\n4837 10110\n1303 7796\n3860 8284\n1363 11623\n1881 3370\n4331 5776\n1300 1431\n1992 3602\n3832 10703\n752 11878\n3420 12012\n234 8849\n12032 12141\n4533 10713\n6943 7941\n7844 9824\n7070 10622\n2323 4779\n1818 9963\n2071 3026\n10234 10528\n977 1631\n7113 11611\n6830 6879\n7103 9633\n11459 11637\n342 8902\n7757 10892\n9725 10966\n2886 9665\n992 2530\n3054 9373\n2932 5711\n3921 9824\n4753 6601\n224 10525\n6237 8798\n1 9641\n3396 6570\n991 3376\n5150 5754\n3786 5286\n1866 7989\n400 5423\n3980 8514\n6373 12151\n1626 6123\n9137 11952\n2273 4850\n10931 11758\n1923 3425\n97 11212\n1243 1866\n9729 10471\n7883 8939\n2839 9192\n7820 10887\n4015 9076\n832 5667\n428 3722\n218 5330\n97 2673\n6973 7713\n2876 4362\n8664 10018\n8611 11496\n6849 10840\n6750 9418\n1202 1364\n3415 7414\n1131 4693\n816 8869\n789 2554\n4087 10976\n772 4870\n5361 5888\n11 1706\n4043 7214\n451 744\n4186 4978\n4850 8356\n4310 9470\n5114 11986\n7284 8597\n1317 3962\n1400 8351\n1075 8810\n6237 6282\n1818 2439\n1559 4320\n578 2006\n9711 11468\n387 2864\n3939 8742\n7810 9220\n998 4902\n1006 5249\n9658 10398\n2864 8627\n6205 11892\n2364 5619\n1110 5528\n6769 7973\n5186 9173\n2336 11332\n1110 6598\n3201 6521\n1239 7599\n4182 4784\n1307 5433\n8168 10148\n976 7726\n5605 8712\n89 536\n6342 9709\n1522 4216\n1938 8658\n2347 8121\n6405 8951\n3352 6782\n7488 9769\n6588 11661\n592 11767\n8726 10870\n2377 10717\n6658 11213\n1271 4388\n3408 10525\n1998 3143\n9228 11486\n6343 11148\n5620 7063\n6544 9128\n712 11840\n8314 11352\n3895 4353\n2545 6772\n4441 8368\n249 374\n3264 4270\n9032 11928\n8759 9911\n1219 10334\n7481 7827\n1467 7528\n5406 7526\n10355 10508\n6390 8025\n4125 6061\n707 9507\n4907 6532\n5747 11980\n4107 12022\n7275 10394\n557 2250\n3364 10110\n4257 4602\n999 1598\n3722 8380\n4058 7051\n10330 12185\n3875 12176\n247 2381\n1726 3065\n1566 5404\n4230 10971\n7343 9573\n7124 7857\n4856 8776\n2996 8209\n2696 12130\n796 1205\n5372 5903\n2046 9616\n2155 8292\n1626 2536\n967 5387\n879 2516\n8027 10563\n5198 10454\n8640 10059\n160 739\n4047 5411\n2097 6667\n1231 11991\n4686 11484\n9413 9757\n254 5321\n3537 5896\n3883 11134\n6660 11231\n4227 7795\n7638 7705\n4429 5144\n6584 8396\n135 10769\n6121 10454\n5490 8242\n6389 11919\n3421 10019\n2004 8287\n4614 9293\n5309 8625\n4350 6591\n7189 10523\n4536 5230\n9333 10015\n10580 10767\n3226 11023\n447 4107\n1550 3193\n1841 6799\n7787 11760\n9341 11395\n3097 11002\n2690 3317\n2057 9491\n7371 7614\n4262 9181\n8779 11454\n3257 11928\n8754 12146\n1876 6686\n10547 11669\n5103 6608\n8119 12128\n4920 10807\n1504 4979\n8047 11467\n9962 11117\n2029 6703\n1038 3220\n7190 7581\n5579 5593\n9307 11894\n2024 5878\n165 8123\n10608 10739\n5665 10675\n505 2406\n574 6656\n3511 11948\n9043 9424\n435 4744\n67 2302\n1884 9053\n8586 11855\n2177 11800\n6258 8080\n2996 11060\n9373 10423\n5627 10653\n6140 8476\n3048 7386\n1715 7872\n9208 9975\n1279 3303\n2395 3568\n9931 11916\n2995 6173\n5183 9096\n4372 10558\n7974 9915\n7022 11686\n10257 11960\n6898 7134\n1880 7577\n4519 4873\n5486 7206\n740 7907\n569 737\n5169 6144\n5355 11210\n57 5957\n5766 8972\n583 1524\n3618 9170\n9117 9613\n293 5354\n1529 5966\n475 612\n2433 6116\n6346 7566\n6202 6963\n1601 11699\n8749 11285\n1368 11186\n809 9215\n2852 5918\n474 2992\n1134 9859\n749 9190\n8018 11760\n6832 10174\n1518 7609\n3663 7291\n2387 10054\n4066 4564\n5357 9241\n2192 4366\n8573 8986\n2523 6144\n2188 4421\n3827 6239\n734 9057\n3004 8890\n1083 8867\n1239 5341\n2615 10066\n8432 10368\n5149 9125\n5762 7918\n232 12001\n7135 7990\n926 1973\n7316 9999\n425 4888\n7439 9915\n7537 10236\n9947 12102\n4111 9223\n3990 10802\n8226 9819\n1484 11356\n252 10245\n8767 10948\n537 5482\n7940 11762\n522 9884\n9825 10968\n6190 7253\n10028 10180\n565 9366\n2827 3338\n6365 10901\n882 1856\n3336 8277\n5173 6803\n7378 7564\n7868 11331\n1534 5479\n3330 11422\n314 8485\n9014 11951\n3003 11345\n595 3015\n3124 4783\n3276 10540\n2000 3401\n1673 1831\n2023 11254\n8861 9386\n2876 8922\n261 7434\n5627 5771\n6369 11323\n4145 7295\n6934 8094\n5080 8826\n2281 6422\n11480 12013\n1421 1964\n1460 3764\n4335 9130\n5964 7572\n1140 6699\n371 10934\n4373 8518\n26 1748\n3033 4461\n5456 8628\n954 12050\n2370 2382\n3066 4974\n82 11959\n618 11408\n5783 7266\n5198 6466\n104 2912\n2246 7275\n7791 9349\n562 3057\n3862 11848\n6591 7531\n3077 10975\n1734 3433\n2347 9200\n361 11510\n5003 8396\n7243 7371\n10342 12115\n4239 9988\n2809 6759\n675 7749\n3807 7348\n4730 8656\n175 10139\n4933 5546\n2344 6054\n3408 3546\n7516 8548\n1629 4098\n1365 5044\n4323 11518\n10687 11776\n8778 12063\n4779 5130\n10580 11423\n733 4343\n2505 10515\n1997 8976\n4176 12027\n1070 5046\n577 6378\n644 1399\n3897 10780\n3845 4703\n6845 7030\n1102 5487\n2715 4202\n3319 6536\n1045 11134\n674 11558\n5995 6964\n1850 9855\n1386 1498\n5548 10654\n1535 8127\n1875 11244\n10392 12090\n7660 10078\n4897 10246\n840 4919\n10647 11134\n2679 3847\n1613 4012\n6336 9698\n4651 5079\n10180 11839\n3413 8498\n4014 10980\n3675 8207\n2308 4367\n20 5582\n6128 10007\n1220 8371\n2469 6867\n3390 5248\n2515 11830\n6760 11321\n3360 7099\n3274 9019\n813 3092\n1421 10052\n2243 9336\n10563 11400\n1840 7167\n3161 9021\n2724 9107\n5783 8702\n1214 3384\n2523 3366\n2666 9356\n4377 8386\n4763 8725\n4235 7513\n2168 3350\n7250 7857\n4204 10364\n6770 10393\n2388 11656\n917 12009\n6959 9394\n2001 10212\n7811 9883\n6974 9868\n3644 6452\n3257 4890\n10074 10178\n3587 10459\n9579 9910\n7605 9109\n1058 5070\n1028 2950\n4097 10301\n1587 8923\n6395 11601\n3526 10828\n875 2675\n353 4538\n4373 8748\n2242 7181\n4961 6319\n7624 11715\n7807 10674\n105 6566\n9099 11479\n759 4925\n1347 1420\n6563 7019\n7909 10082\n5942 6397\n2287 9964\n2845 6831\n8 8872\n4780 6165\n8578 9904\n11775 12105\n5449 9413\n350 2956\n2295 6252\n5129 11585\n2374 9525\n2225 3840\n5725 8732\n5031 8282\n7586 11797\n749 8074\n10686 11737\n9479 11231\n4280 5957\n4286 4710\n6363 9435\n973 9355\n9536 10168\n5405 8303\n5132 12131\n1640 6145\n836 5266\n1140 3018\n9564 10061\n5015 7208\n1644 8558\n9276 11156\n6442 6565\n1178 4708\n8916 10952\n3893 7309\n1721 2292\n3984 8678\n9641 10335\n565 11000\n169 9742\n1466 9725\n6104 6305\n5842 7130\n8262 9980\n5111 6065\n8050 9821\n1804 9648\n1889 6266\n2197 11783\n664 1073\n6234 11658\n610 4733\n2573 4393\n7616 10517\n7929 9839\n4031 9939\n3499 10281\n2119 7812\n7638 11030\n748 6983\n3500 8928\n8168 9899\n3123 6919\n4559 10571\n5624 7614\n434 4897\n3800 5008\n3023 10465\n10910 11797\n428 8363\n3335 6906\n1755 4244\n545 4020\n1904 10723\n3023 6784\n5346 10337\n52 12101\n505 4089\n8508 11588\n2744 10755\n8858 9757\n2931 7625\n4690 11097\n3316 8093\n2459 11138\n416 1593\n5992 7467\n3701 5348\n5439 11778\n2552 6943\n2717 8541\n3592 4849\n3417 10947\n962 11174\n9565 10079\n144 7516\n3423 3828\n6504 11021\n6884 8774\n4291 7046\n1502 10158\n11035 11776\n7232 12025\n924 8705\n4701 5047\n4617 5764\n3922 11404\n976 1398\n5816 6640\n2001 7605\n1330 5490\n1664 1856\n509 1371\n10462 11903\n8323 11163\n4318 11843\n2801 3803\n4211 7965\n1951 10544\n2149 7824\n3365 6373\n5912 7775\n1551 5162\n565 3624\n9603 10850\n1606 3804\n2395 7579\n4702 10101\n4290 4542\n197 2961\n2637 9972\n1538 6543\n247 6903\n2311 7084\n5875 9929\n361 1754\n3580 4538\n1937 9620\n8958 10245\n1678 11971\n7072 11348\n1632 11448\n2631 12092\n3747 9630\n2352 8268\n4164 10275\n5621 9481\n7998 11404\n1140 9814\n8918 11267\n5553 8768\n1978 8808\n1478 6096\n33 4146\n840 2186\n3103 3129\n1777 7149\n8386 9249\n9790 10963\n1576 12012\n3244 4413\n2914 5114\n539 8036\n408 3631\n5140 7824\n2988 6247\n2270 8452\n304 7872\n345 10059\n9905 10835\n4467 11729\n2486 11963\n5473 6615\n6394 7912\n1071 5941\n1155 11181\n2510 3362\n1 6594\n4196 5820\n4986 11247\n5382 7997\n2397 10540\n1050 1706\n3080 7364\n1167 1498\n1811 2482\n6709 10602\n2867 8792\n1455 2350\n1836 3235\n9305 10835\n1065 11200\n1521 6623\n9954 10987\n7049 10334\n4221 11428\n5584 10807\n1237 8841\n231 12120\n743 3068\n3719 8263\n5032 7371\n24 6240\n3997 6810\n3226 4857\n5845 7840\n1867 6334\n151 4051\n2177 6243\n8524 10342\n4055 7704\n7423 9111\n1944 3429\n3780 11487\n2231 10921\n1836 3106\n1162 6148\n6730 9626\n5603 10642\n1574 10220\n1802 12037\n9167 10978\n5341 8605\n1117 3682\n7955 8374\n2956 4249\n9068 11132\n1364 4195\n1829 9942\n788 10085\n623 7766\n1153 8509\n3303 7096\n3153 11858\n1875 2040\n3217 10151\n752 2441\n7052 7909\n3334 11250\n6399 10036\n182 3029\n1881 8618\n4332 10983\n2186 3415\n6041 11640\n3616 9505\n7374 8798\n3761 4351\n984 11991\n3952 7354\n3235 7938\n5976 8744\n2274 6310\n2612 2703\n6545 10760\n507 6812\n581 9853\n3601 10698\n1082 2651\n2189 9205\n1469 2312\n1118 5343\n9392 10008\n3220 9664\n1589 3081\n70 6419\n3771 9309\n1374 3071\n8628 9232\n5769 7473\n10160 10581\n988 9044\n6126 6870\n7430 8997\n3847 7426\n8128 8228\n1858 6102\n3175 9497\n9152 10612\n418 1591\n2582 9374\n9198 9677\n4975 7341\n7743 11615\n781 1392\n2112 9340\n2231 5721\n5772 5790\n2465 12145\n4176 9551\n1505 9185\n2019 4550\n4893 6436\n6411 10115\n1978 2792\n259 3082\n1219 1406\n3441 11364\n3240 9149\n7410 8544\n5241 7059\n7348 8669\n9299 9506\n8107 8127\n3844 3847\n3667 4074\n2734 2793\n1579 10715\n2329 10607\n6996 12144\n7286 10501\n1381 4646\n1628 10325\n3479 9259\n644 1350\n5307 6858\n6669 10100\n6239 9156\n10358 11159\n619 8427\n6844 7159\n6867 9909\n126 7567\n5731 6930\n4489 11541\n7817 10264\n2325 8808\n3980 12011\n9398 10329\n7724 8478\n4565 6319\n6605 8856\n3871 4245\n247 9935\n8189 10607\n8910 9757\n157 579\n779 2717\n5051 10552\n6947 7832\n4794 12073\n3704 7500\n352 4962\n1101 7458\n2122 10734\n2099 7120\n2363 7163\n4052 10674\n6649 8583\n1533 8132\n7179 10652\n3595 3719\n4240 7097\n695 2972\n4421 10272\n508 3598\n5505 5754\n5993 6983\n2539 4685\n5670 11405\n3229 7853\n2514 2610\n592 4665\n3683 8808\n8181 8480\n392 7732\n2563 5733\n2306 8354\n5126 8238\n7149 7503\n6542 6807\n5990 7363\n959 5542\n5016 10534\n2570 5074\n719 11633\n4880 8930\n4755 8922\n993 4948\n7285 11058\n1274 3601\n179 11366\n10654 11214\n6496 11805\n4527 6327\n9960 10853\n2439 3153\n3921 4180\n4989 6688\n2618 6836\n3755 10331\n6180 7034\n8166 11693\n2530 9429\n5088 7794\n2382 11348\n5104 6089\n3134 8989\n969 3802\n1105 5986\n2358 2605\n253 12110\n472 7222\n144 7478\n9539 10059\n1223 5391\n3438 7122\n6500 7587\n4003 11904\n731 11261\n2903 6575\n4780 6516\n928 7046\n528 4360\n734 4059\n173 5880\n2619 9220\n2638 11014\n4042 5247\n4680 5080\n5935 6988\n2957 5909\n4795 11424\n8416 10756\n4337 8200\n514 530\n5946 9607\n6302 11432\n5351 12081\n10309 10573\n4967 7696\n9046 9727\n1929 3403\n3745 7876\n4727 8463\n1528 2457\n1276 9922\n4557 11427\n1475 5194\n8745 10069\n5178 10651\n4199 7085\n3526 10314\n3036 4903\n9608 10622\n3042 10696\n3013 6840\n6709 8168\n2638 10781\n2319 8974\n9401 10834\n142 2076\n11615 12052\n2425 6260\n2926 7521\n5430 10984\n6584 12153\n689 1073\n786 5428\n5287 6231\n3852 6896\n643 6337\n4385 4549\n2477 5336\n7150 11355\n1992 8593\n76 11867\n40 8688\n2996 6392\n1485 9158\n2075 11655\n6365 7447\n329 11836\n118 10651\n5654 7399\n7261 10956\n1100 8983\n9255 9572\n10322 11007\n3854 6068\n3491 5849\n7951 10019\n1365 2385\n9628 9887\n4425 8097\n8651 9763\n888 6952\n2626 3668\n3596 8651\n7796 8751\n1833 10434\n244 7878\n2571 7911\n6063 10721\n4223 11474\n8103 11549\n1335 3906\n134 7677\n1718 10476\n1980 3964\n1491 8531\n9469 10760\n3120 7358\n2929 4438\n2565 2944\n10120 10360\n2874 5344\n6830 9893\n869 3133\n4355 5797\n2653 12118\n1594 6857\n1543 8389\n6929 7565\n4519 7982\n9599 10998\n8045 9483\n2008 2369\n8194 11878\n783 1161\n1296 5374\n5843 11631\n6668 7026\n1578 3558\n1484 1821\n9156 9929\n5524 11542\n7951 9687\n5312 8940\n2953 6906\n895 2563\n3685 9198\n3442 6002\n1861 4041\n2449 2490\n6469 10697\n3149 7058\n1540 10717\n848 9488\n5858 11220\n1365 5758\n1149 5254\n1656 7339\n3087 8176\n5834 7864\n4159 7703\n2783 10790\n2672 4775\n10977 11880\n864 6897\n1481 8307\n2852 6584\n1537 3396\n6351 11044\n757 4682\n1847 7576\n6807 10464\n4266 9694\n3744 4504\n8830 9541\n9490 10820\n1080 7618\n1356 7521\n5630 10236\n2339 2704\n4224 8905\n1675 3220\n4654 9837\n2452 3015\n2239 6732\n1117 7356\n801 2800\n8056 10705\n1429 10705\n4805 7716\n7869 8801\n1283 4024\n3830 10733\n4425 4481\n5828 9868\n5598 6373\n325 3085\n9789 10434\n368 926\n5520 8647\n4423 12051\n5153 9827\n845 5923\n11019 11140\n4360 9040\n2292 2887\n198 7719\n7398 10077\n2273 6020\n208 800\n4286 8209\n381 6427\n1523 3487\n2573 11133\n4593 6336\n3318 5915\n2336 5111\n1161 4369\n426 4238\n9336 10577\n2399 10720\n2965 7793\n517 6393\n3186 4925\n736 5521\n3834 9860\n6303 11168\n4338 4755\n865 5733\n4765 10854\n4426 7581\n2017 2258\n1766 9006\n5474 7596\n3373 8831\n2368 6896\n9591 11506\n5039 11979\n3375 7892\n254 3886\n603 8066\n5244 6356\n3347 11728\n7705 9034\n2461 4662\n1473 7270\n1928 6944\n287 9166\n747 11869\n2002 10388\n3419 4309\n3601 9132\n4394 4790\n3501 10955\n2975 11682\n9322 11889\n44 2256\n3768 10647\n7627 9353\n2799 7224\n3336 7363\n951 1393\n5402 9203\n3391 8421\n1272 8213\n5164 11575\n4315 6254\n7075 11973\n4013 11279\n9516 10570\n1504 3632\n3979 4289\n1313 9713\n78 6389\n1517 11167\n6749 11449\n4347 10108\n1099 7209\n2679 10682\n1290 11329\n5093 6836\n2256 10674\n1708 8953\n2807 3998\n5528 9112\n4853 6727\n10982 12152\n2373 6493\n2706 5287\n4918 6238\n4466 9686\n4320 7864\n8387 11176\n1561 11089\n5104 7468\n1728 5756\n1769 5591\n6713 6863\n9058 11373\n837 7575\n8205 8622\n3702 8221\n525 8645\n4256 6154\n1036 10719\n1579 3592\n9706 11922\n6020 9637\n1213 1284\n6153 8145\n483 6688\n1958 8629\n420 9254\n2051 5264\n5713 6064\n8267 11043\n7897 10153\n7877 9158\n3911 6844\n578 3573\n2518 3657\n11057 11276\n3185 8459\n501 9684\n8614 9861\n8529 11446\n3619 3660\n6076 6934\n3241 9559\n135 11902\n3023 11717\n5862 9164\n2756 5990\n3690 10446\n1582 3641\n4054 11280\n2776 9815\n1445 4199\n3246 8295\n6054 8657\n1688 2221\n8401 9911\n1058 1839\n10132 10227\n5613 8893\n7239 9054\n9372 9498\n6617 11440\n5936 6818\n218 4176\n302 6160\n7273 9235\n4928 11806\n939 8595\n10054 11349\n5909 7594\n3563 11505\n3871 8645\n4720 6820\n567 2748\n2082 5044\n7077 12073\n2353 6566\n917 6848\n272 5608\n3208 4103\n9473 11450\n5956 9598\n7072 11056\n7360 7476\n2251 10157\n10340 11717\n1620 8414\n3891 11081\n7351 7932\n2477 8544\n10311 11468\n3657 10821\n9609 11328\n3564 4904\n7578 9608\n2042 3329\n1882 8273\n473 9140\n2507 4074\n3385 5504\n2710 8944\n4564 10395\n2657 5191\n10920 11077\n505 7851\n3353 9793\n4938 5424\n9069 9696\n3846 8370\n2630 8830\n1739 11104\n1939 12151\n2204 7222\n4812 5842\n4210 10942\n1488 7394\n894 6474\n9582 9729\n4267 8326\n4070 4160\n833 7713\n5147 11924\n1797 7354\n6540 8867\n7094 11350\n2555 6199\n3199 6075\n5440 11326\n1595 2264\n538 849\n688 9299\n7635 7762\n1871 10388\n4446 7364\n5439 11090\n3145 3160\n4081 11318\n1813 8845\n8853 11924\n4309 10899\n380 9877\n3522 6259\n1455 2386\n5138 10058\n302 9683\n5263 8885\n1314 2372\n10821 10934\n8492 9092\n7604 10500\n311 815\n976 9148\n10322 11958\n6754 11890\n3718 11614\n391 4124\n3657 3871\n5146 9210\n391 7298\n4118 11065\n878 1872\n9565 11479\n174 3241\n110 9249\n889 2302\n4148 8081\n4261 4582\n5107 5689\n3878 5364\n3470 10166\n414 8022\n487 3107\n1475 7651\n1498 3822\n831 6567\n8214 10073\n5165 10583\n9065 10746\n955 10231\n6492 12141\n5532 7938\n3184 3670\n4585 6613\n9342 11846\n1551 7608\n3929 5752\n361 6736\n2405 8128\n7178 8696\n1501 4972\n481 1486\n4655 7834\n3521 8192\n4243 7484\n2673 6025\n5187 6444\n8703 11945\n10826 11451\n10047 10987\n2643 3658\n1467 5228\n3211 12033\n5899 10830\n2186 3649\n7360 10082\n2016 3582\n5038 10441\n1430 5486\n4865 5269\n6129 11265\n3062 7268\n5657 9495\n3962 4434\n6796 9861\n2634 7555\n1992 12118\n1073 10178\n1155 8148\n5862 7259\n5229 10543\n2058 3217\n2629 3494\n7271 11528\n282 7911\n2196 2880\n6935 12006\n3344 5266\n4194 5392\n301 723\n5523 9212\n158 11610\n511 5566\n2121 10947\n1840 6125\n2686 5913\n7130 7339\n384 8990\n6605 11134\n1613 11061\n2047 5168\n213 10416\n556 5307\n3459 6150\n10755 12094\n4056 5144\n5531 8698\n818 12127\n3585 5225\n8929 9070\n1814 10199\n11081 11241\n8308 9660\n3230 7980\n2124 3561\n9388 11821\n4229 10761\n3665 9903\n495 2076\n8773 12043\n2648 11184\n3448 6935\n8257 11166\n2215 7473\n1475 6476\n3715 10354\n8774 11473\n1323 8577\n10957 11839\n632 8939\n1626 7356\n4227 7994\n1049 8433\n3371 3407\n2722 9873\n2959 8304\n5647 7008\n5678 11412\n1129 8281\n4276 10142\n2301 9383\n2386 3009\n4055 8505\n2244 10753\n6174 10711\n4700 7489\n3151 11448\n4801 6003\n4402 9816\n1219 10394\n6891 8095\n995 4394\n8288 12104\n3853 10336\n1843 5797\n3697 10119\n5620 5670\n2764 3843\n7753 11359\n553 10620\n2460 11732\n2026 6355\n9309 11624\n8247 11057\n2679 7829\n5754 5991\n4797 8711\n4861 9763\n1032 6627\n6832 12100\n2811 8245\n858 6287\n2287 8791\n5187 9355\n2296 5472\n4082 10888\n1186 10836\n1155 2629\n6166 11283\n7080 9324\n3965 9148\n5369 5419\n1831 4146\n8455 11534\n2200 4019\n1594 2548\n4346 9633\n9385 11742\n939 11057\n2129 8872\n1351 2343\n6533 10770\n2847 5805\n4767 7495\n6067 11645\n2982 3388\n1609 11012\n8603 9624\n3239 7094\n3140 3391\n8669 10743\n1295 2778\n3990 9936\n3310 8805\n3396 11624\n4533 5990\n6745 8443\n96 7466\n9843 11979\n6035 7677\n4024 11958\n6057 7436\n664 3771\n2652 8393\n3808 10536\n4685 5123\n2127 4942\n6162 6843\n4028 11220\n7673 11842\n6690 9355\n9230 10269\n8716 9043\n8524 11370\n9729 11784\n3776 9417\n5010 8191\n7113 7666\n1199 3841\n1060 9537\n8563 10134\n7798 9049\n3723 10849\n11098 11557\n4071 12058\n5999 12146\n948 7404\n1285 5484\n2099 8723\n419 6678\n4473 9407\n8514 8667\n3888 8677\n5597 11602\n6432 11523\n3458 10916\n741 8896\n1908 6628\n6045 9440\n748 5386\n568 3071\n6780 10006\n1661 8231\n3414 5096\n4652 10917\n7489 9013\n4657 8843\n10444 11207\n2375 8443\n3393 12152\n11007 11671\n5229 6368\n6187 6448\n2689 10451\n5549 7155\n2736 6497\n6536 9873\n669 12153\n1342 3298\n9610 10612\n214 1708\n7960 10137\n971 10115\n140 973\n9643 11137\n6653 6840\n5210 7661\n4301 10560\n5139 7742\n3186 10909\n1089 3226\n5407 11531\n5907 6173\n1206 9452\n2187 3556\n5945 8137\n2444 9379\n2742 9913\n2636 11722\n3809 11631\n7273 8118\n662 3312\n7704 11158\n3971 4335\n7926 10025\n946 10845\n6228 6917\n345 3175\n8810 9835\n1993 3668\n2125 11864\n2977 6334\n4826 7602\n7772 8944\n207 10818\n4591 11242\n5412 6287\n65 864\n2922 11408\n364 10900\n4696 8303\n2256 5123\n1978 7413\n5613 5964\n122 2711\n1889 8777\n1673 2474\n1409 3175\n2572 2988\n10421 12010\n9171 9453\n3746 8837\n3481 5076\n2772 9257\n2649 10022\n2289 2464\n7196 8441\n4896 12082\n5693 10689\n2515 5542\n6462 7017\n4422 7410\n6125 7395\n100 6100\n2186 6971\n4609 9317\n111 5037\n5586 9324\n2535 7410\n4644 5483\n7933 10353\n3233 7566\n293 11914\n1506 8625\n4585 9397\n889 7009\n609 2327\n6917 10099\n7057 10426\n7801 8874\n3507 4194\n2366 11747\n5701 9559\n5360 11974\n4630 4818\n10565 11144\n2910 11101\n955 5692\n2809 6889\n8308 9803\n2039 4738\n4478 8749\n3900 8527\n6487 9969\n140 1369\n7420 11097\n2682 11785\n5634 10495\n1316 8300\n7315 7457\n7441 8360\n2123 7432\n2741 10386\n3626 5202\n8968 10313\n553 6277\n4445 9257\n6708 9188\n10557 11377\n8675 12112\n3807 7000\n7815 8034\n10174 10777\n4327 12163\n1889 9097\n524 7468\n7151 8238\n1433 11675\n101 5685\n2788 4118\n1275 5418\n7131 10612\n2259 9320\n662 1952\n3992 9614\n3602 8431\n7703 10749\n963 5434\n67 4573\n5044 9852\n7673 10012\n5234 8323\n2339 8434\n3213 6445\n1299 12062\n7186 9381\n2677 9293\n8963 10352\n3907 9224\n2839 5224\n7661 8872\n3775 7642\n950 1808\n1000 11458\n2496 10976\n1533 11247\n1811 4247\n1283 11290\n113 4089\n5062 5193\n1043 2828\n1889 6109\n3601 11190\n354 11777\n7909 9308\n5176 11977\n6678 9984\n7874 8260\n3795 9911\n7875 10041\n6164 10120\n2788 11001\n6759 9220\n149 1796\n8180 10131\n22 9712\n7395 11369\n555 3466\n4834 11368\n4647 4874\n4825 8423\n4618 9455\n5082 11508\n3657 11139\n1820 5095\n6085 9715\n3436 8734\n6869 7217\n8543 9352\n522 5998\n1054 11557\n5268 8247\n5489 9839\n1489 7024\n200 1742\n2736 4063\n2405 2875\n6932 7420\n2177 10803\n6122 7167\n2969 9423\n7099 11484\n2478 5531\n6621 9689\n2807 10373\n6341 9326\n3294 10680\n1072 10153\n90 1740\n4206 8413\n3000 8239\n2057 9061\n7486 8533\n744 7679\n5668 9006\n3695 6036\n571 11856\n5653 10944\n2479 10354\n932 2390\n8286 10208\n2600 10423\n3449 8719\n3236 5939\n870 1221\n4078 9885\n5069 8918\n1580 5402\n4001 10576\n1143 6545\n3814 10387\n4207 6924\n9792 11154\n2851 3861\n3000 10164\n9705 10075\n10211 10938\n4069 11631\n336 12050\n6345 8916\n2800 3461\n4163 4386\n4692 9246\n1775 7567\n3680 8089\n2791 3875\n6550 6918\n320 8998\n95 7749\n1842 11013\n9489 12018\n3761 6200\n2426 3319\n10814 11024\n7686 9943\n8168 8188\n3120 12071\n6508 12058\n1271 8914\n6307 7038\n5015 10414\n362 9587\n3730 6654\n4275 8803\n1685 11931\n3202 8347\n8870 11837\n6380 6839\n1299 7548\n11657 11717\n1492 5789\n5789 11142\n2976 9383\n840 6266\n3135 6170\n2791 9021\n4194 8200\n460 4993\n4655 9758\n1140 10663\n890 3476\n5225 10599\n1192 10210\n1430 2035\n10020 11436\n8421 9088\n5285 11853\n2569 7819\n10497 11296\n5650 11737\n2229 8477\n10692 11799\n357 1244\n10797 11272\n6187 11283\n6474 8486\n8753 9474\n2636 6718\n825 10949\n381 5602\n2413 5357\n8685 10005\n7425 8762\n2923 11898\n6871 12035\n5106 8924\n4793 12108\n6630 6946\n6408 7088\n8044 8555\n4936 9615\n859 2393\n710 1349\n2605 4667\n4325 5378\n2494 4921\n7957 8762\n1395 5439\n2514 4708\n4826 8083\n160 5030\n4398 4798\n4224 5583\n8059 9706\n6184 10982\n8425 9063\n1102 10746\n1698 6201\n1745 11019\n6054 6640\n11588 11641\n2939 4112\n3025 9687\n2887 3840\n479 6506\n5992 8245\n8893 10129\n2756 8607\n3643 9715\n199 1102\n2658 5269\n1437 6537\n205 1981\n5058 10381\n2447 9466\n8966 10110\n9849 11673\n839 5131\n3417 5580\n4213 6437\n3759 9947\n4864 6582\n234 288\n8347 9440\n6456 8404\n2754 11585\n23 4774\n9292 9812\n2071 7628\n9679 12078\n9870 9983\n2220 5208\n6804 10018\n4084 8050\n675 8114\n673 4358\n1384 9698\n8034 9290\n2381 9341\n1146 10417\n449 4332\n6168 10423\n6236 9927\n1226 8786\n5605 7297\n8386 11048\n5829 5907\n4569 8312\n6069 11314\n4322 6037\n1998 4993\n1389 6676\n6417 10626\n920 10220\n4743 9222\n11167 11227\n2879 3854\n4049 8281\n3606 7508\n3111 10209\n1341 8461\n18 7601\n6938 8680\n4791 9373\n6410 8844\n4335 7271\n808 5282\n7328 9912\n959 3551\n4252 7814\n4519 7212\n4393 12084\n10475 11323\n2464 7092\n6965 8821\n3764 7553\n583 6008\n3080 12113\n5337 5879\n4532 11226\n3487 3836\n2976 4307\n8686 9894\n4747 8204\n1987 8180\n1739 10108\n451 2817\n5403 8172\n10547 11969\n1855 6706\n3246 8100\n608 1366\n5015 7639\n9366 9560\n8299 10744\n2525 7706\n4324 6883\n4313 7702\n1010 6355\n2450 5654\n6603 10466\n314 11373\n88 3033\n7272 8444\n5149 8299\n3808 7884\n2759 7570\n8418 12014\n3391 7524\n5141 10644\n5868 10378\n5395 8906\n1720 10602\n6124 10488\n2503 4722\n9219 9267\n908 2789\n914 4128\n1247 12183\n756 8141\n4760 10820\n287 4216\n6491 7790\n276 338\n7296 10478\n6311 7491\n2982 10992\n1054 6333\n7999 11164\n5425 9100\n4238 9819\n10612 11474\n1117 4668\n10788 11921\n5632 11653\n5307 7656\n7060 7967\n7839 8500\n3291 4021\n8789 11015\n2081 10569\n415 2332\n2872 10331\n843 9022\n1621 3104\n5853 6632\n5251 9785\n1897 6432\n1486 4592\n1196 1710\n659 9809\n5730 9995\n1386 3140\n10665 11338\n843 11186\n285 4315\n2568 5253\n5640 11962\n1225 2272\n5718 6954\n4702 6262\n5679 8789\n3381 10357\n1797 8561\n1838 3640\n6762 11433\n3842 4567\n2926 4019\n4170 6519\n902 4045\n11218 12147\n1273 3746\n2104 6065\n7941 9431\n3106 11139\n2593 10359\n6012 9674\n148 5826\n1838 7569\n6870 11835\n2094 5504\n4683 8770\n28 911\n4039 11946\n6373 6731\n2475 4378\n7200 7432\n9487 10462\n1242 1936\n2611 6756\n3524 8420\n5738 11101\n9687 10150\n4753 11377\n4984 5638\n1534 8154\n624 1167\n6821 10930\n1948 3755\n7794 9184\n4895 11819\n1762 9428\n3285 8524\n4460 11029\n2225 12151\n1978 5757\n987 5550\n1767 3511\n3452 5248\n4612 6269\n4955 6879\n9531 9597\n9684 11368\n1229 11309\n11424 11998\n3614 3659\n3094 4646\n2008 11122\n9304 11391\n6099 11423\n975 6273\n5269 11199\n3923 10617\n2374 5789\n180 7320\n7700 9036\n4063 5979\n5211 11785\n4679 4994\n6414 10354\n1360 9345\n5020 10141\n2662 10892\n2573 9926\n1739 4896\n2466 8386\n5084 6149\n1979 8477\n4116 6373\n1454 9521\n2520 3386\n2674 11420\n5528 11970\n7064 7399\n99 724\n4344 5703\n7221 11144\n5678 8241\n1214 10034\n151 636\n572 8348\n3032 9056\n4457 8685\n838 7222\n4988 8481\n8835 12114\n6133 8490\n7148 7206\n992 5580\n111 3842\n1982 5965\n4784 6090\n2855 4816\n3165 9073\n2767 6186\n4132 11120\n3235 6693\n1704 9060\n2804 8427\n4582 9946\n6253 8722\n8942 9411\n1473 10205\n8938 9930\n511 8693\n6291 11080\n4171 5276\n7512 10843\n1664 4180\n8463 11778\n3741 10956\n5353 5774\n5463 7073\n355 11359\n3260 5569\n9749 9864\n9972 10532\n6585 10746\n3420 5864\n5835 6634\n1979 9138\n313 5436\n268 456\n6400 12071\n5004 10155\n376 7471\n5735 7806\n4467 10096\n7415 10131\n6181 10342\n666 7567\n2945 5975\n5688 10199\n9358 12190\n7368 11244\n229 10680\n4665 11391\n1861 7801\n4436 9875\n1742 5865\n5285 11469\n4267 7682\n5193 11911\n3104 5089\n288 10767\n119 6016\n5334 11226\n77 741\n9511 11764\n9372 10908\n9227 9886\n3748 6279\n2494 3273\n6108 11726\n3958 5342\n1020 11751\n402 11161\n8808 8947\n11289 11704\n289 10854\n5515 8167\n2437 2943\n3147 11915\n1928 10590\n812 11169\n3422 8820\n6624 10620\n4499 7710\n3922 5692\n1156 10030\n8747 10726\n950 8719\n2129 9558\n3951 9683\n4339 12065\n2853 3672\n2652 5286\n8125 11932\n3747 4675\n1520 10415\n9897 10093\n1023 11240\n7129 7981\n986 5099\n2975 9533\n4175 4502\n110 8098\n534 6724\n2593 12164\n9782 9894\n1797 4308\n565 2037\n4484 5383\n883 8302\n30 12173\n4450 11104\n5456 5930\n10894 11954\n891 8642\n1385 6763\n2739 9447\n11892 11911\n5229 6053\n3936 7721\n4298 7152\n7930 9226\n7017 7079\n6090 8134\n7519 10054\n4965 10010\n8351 8590\n5291 10870\n7168 7282\n4349 5101\n7374 8743\n2239 10993\n268 4742\n1465 3612\n2795 7789\n3351 11617\n5190 7392\n4273 12041\n7729 12092\n3734 6710\n2882 4375\n5716 9708\n4555 11658\n9827 10500\n2920 4864\n3989 11139\n6375 8399\n1451 5620\n5367 7894\n5447 6635\n2852 10610\n858 11799\n2957 6268\n2994 3285\n4814 6273\n1236 5539\n3888 5313\n916 8817\n5695 7883\n8611 11005\n9764 12144\n4892 11675\n7204 9053\n3292 6004\n410 2109\n3906 9304\n7942 9685\n368 1399\n507 2940\n41 1060\n8663 10228\n8730 10997\n4316 8190\n3195 8209\n11316 11586\n916 4469\n9075 11728\n6491 10811\n6409 9039\n3369 11856\n35 3499\n1342 4344\n5112 6226\n2190 5264\n2101 3076\n2237 6004\n1755 10510\n4887 6425\n7609 10919\n3871 7408\n507 4376\n4793 5478\n1545 11224\n8033 8931\n2332 9817\n10874 11025\n2148 8201\n4609 9363\n5241 7099\n1859 10023\n3938 11890\n4231 8194\n1427 4476\n7344 7609\n663 4332\n1252 3815\n7414 11427\n3226 8182\n2079 9707\n2090 2900\n5810 7197\n94 5625\n2965 5875\n2998 10669\n9141 11796\n375 3164\n10126 10847\n1895 10691\n4444 10282\n7032 8711\n4618 11373\n8241 10350\n998 2624\n6913 8502\n2441 5964\n1181 3264\n7393 7538\n1279 8319\n3535 3760\n1263 4396\n1059 5358\n763 5846\n7070 8306\n2548 7037\n1686 7765\n7573 10820\n2443 11924\n28 10179\n9110 10920\n1292 4371\n850 3064\n6072 9668\n4562 4615\n10207 11779\n3004 8452\n694 5740\n3724 9154\n11032 11504\n8522 9976\n6616 10016\n2314 10630\n2118 2391\n1194 5943\n1766 8792\n5831 7159\n6120 7569\n988 8656\n3440 8218\n6256 11682\n6192 11563\n3439 5474\n7144 9121\n375 8496\n380 2851\n1262 1465\n6071 8162\n2684 5573\n2561 10840\n7275 12036\n781 11995\n6912 10406\n2671 4887\n7078 8960\n5369 9120\n1622 12194\n3873 9295\n5915 8796\n101 3243\n5267 7297\n6982 10413\n4255 10818\n525 2761\n10073 10621\n5225 6495\n8804 9956\n112 7323\n8490 10430\n3498 11045\n564 3258\n1609 10356\n7717 8210\n6608 9399\n2445 7323\n3842 10568\n2950 5366\n190 7946\n277 9503\n564 3497\n11085 11936\n611 688\n5592 7269\n1447 2420\n6127 9191\n312 11233\n2993 8850\n690 8391\n1648 9993\n2276 9764\n3271 6376\n1546 2178\n4438 5514\n1810 8124\n1235 6107\n6335 11084\n2116 7928\n6669 10562\n7565 11003\n5964 11350\n7086 7450\n1286 1917\n5535 9484\n10304 10779\n5724 9899\n3309 11549\n7978 10796\n160 2173\n4721 10364\n4975 7489\n1903 11132\n2255 8204\n6047 10604\n2097 10847\n6266 10179\n8103 11751\n784 3235\n1230 10325\n10168 11528\n1827 5164\n7047 8327\n1040 3562\n3065 9822\n1912 3931\n78 7265\n6673 11687\n1585 2722\n2799 3675\n4994 9629\n3146 8141\n2702 9895\n3328 9059\n1582 11103\n483 3254\n5932 7436\n10168 11431\n3578 11209\n7937 7988\n10623 11431\n1066 2300\n4268 5622\n4926 12052\n8794 11806\n1989 9667\n10513 11962\n6267 10678\n5443 5989\n11878 11958\n4923 11402\n8227 11120\n372 3532\n2886 5604\n2067 3299\n7690 11734\n2010 5853\n39 9483\n395 1285\n4396 7560\n4977 7548\n250 8757\n1814 5743\n598 2044\n5467 7155\n1959 7903\n5096 9043\n5699 9512\n1210 10183\n391 8347\n7182 10582\n1469 6975\n2457 4170\n5209 6077\n4840 7539\n5216 8365\n269 5710\n314 7616\n89 4224\n3154 3837\n8876 10741\n4870 6899\n4996 6819\n4445 6800\n4669 5323\n3083 7594\n5006 11370\n4062 12185\n733 11802\n6377 9250\n4094 5496\n9650 11893\n3065 9733\n805 12173\n225 1184\n8712 12125\n2517 2738\n6811 7610\n3248 5855\n8843 9540\n997 8306\n181 1658\n2390 4338\n10008 12053\n7079 7796\n4312 9302\n2302 10637\n4799 5215\n6073 9698\n3230 10678\n9510 11516\n7999 10793\n2708 11351\n8165 10098\n909 8023\n2926 3892\n6041 10022\n1412 2253\n1348 5791\n6456 12150\n2954 10506\n4954 6818\n1793 5907\n2796 10687\n7738 11512\n2073 9993\n8849 9460\n5454 11705\n5008 6205\n3059 7981\n6823 8960\n9853 11211\n2654 10295\n5138 8606\n175 9397\n8037 9858\n4815 8356\n9743 9823\n469 4050\n2445 11679\n1104 1943\n2403 4781\n4074 10917\n10157 11726\n3187 9640\n250 8472\n8365 10732\n970 4247\n10004 10932\n3435 10135\n7826 9525\n3278 11174\n5651 10253\n1137 5081\n365 9079\n1833 4645\n268 11109\n3560 4737\n5313 11386\n7827 9634\n426 6711\n4065 5082\n1110 11645\n5111 9520\n8550 8898\n1084 5021\n45 3019\n2162 6655\n1069 5314\n3318 8839\n869 11316\n5213 12113\n5922 12066\n1015 7806\n2836 9518\n1242 8282\n461 9270\n3911 6859\n2223 3181\n4163 11730\n6676 8119\n1925 6900\n2709 12048\n1364 2771\n6952 11536\n5850 6155\n2583 2994\n7039 9510\n3978 8385\n3236 6967\n1543 10845\n3731 8263\n679 1610\n2400 2779\n3960 8323\n8627 11561\n8987 11599\n10191 10568\n4450 7968\n4165 10530\n6790 9455\n1940 2958\n5233 8655\n751 8856\n2298 8505\n10233 11629\n1820 8928\n2255 7205\n342 9397\n6714 9140\n6774 7089\n8280 10709\n6326 6567\n6757 8545\n3718 5626\n5761 10486\n3430 11231\n2854 5461\n3998 7195\n5763 9609\n1999 2734\n549 1496\n2208 10191\n5375 9632\n7205 10762\n76 7485\n179 5840\n3334 10745\n3643 8554\n4946 9555\n5191 6276\n6321 7744\n3161 6366\n4797 9483\n1364 4131\n5319 5475\n8002 10397\n3988 9647\n3593 4996\n5685 8247\n5645 7034\n572 5938\n702 4590\n6134 10593\n8750 9068\n4085 5793\n298 8100\n138 11936\n496 12114\n5114 6110\n6142 11225\n4016 9434\n88 5644\n738 4687\n4499 11010\n4719 5035\n5119 5693\n6230 10478\n10488 11161\n837 2542\n998 4430\n10908 11932\n2738 10888\n3656 5279\n2640 10793\n5909 8930\n7174 9129\n3831 10366\n8354 11552\n7774 10219\n9522 9669\n1694 2434\n140 3571\n1236 3530\n3153 12014\n7162 10567\n79 10665\n5705 9032\n1345 7766\n7980 8342\n579 1099\n4217 10717\n6475 11661\n129 6090\n794 8436\n525 4585\n5458 8301\n4303 11454\n5018 9433\n1641 8210\n6275 8756\n2303 3835\n483 11911\n2852 10204\n4311 5564\n2508 5944\n3681 11370\n5034 10693\n1966 9850\n9020 10507\n1387 2813\n991 1702\n4003 11267\n5329 8141\n2611 6592\n7995 11221\n460 10211\n2050 6453\n1645 11499\n4045 11680\n7744 9177\n2902 9309\n1262 3164\n9148 10044\n3800 8564\n1236 5756\n8529 11295\n628 7722\n3911 6171\n9535 10547\n204 4133\n751 3334\n2125 11980\n2486 4964\n2078 3369\n10678 10983\n2425 9511\n427 9771\n2073 8782\n1133 11961\n2637 6201\n3291 5755\n8941 10892\n5552 9063\n8664 9490\n6854 11661\n2219 2794\n1980 3503\n1453 2309\n264 280\n2616 7768\n3386 3658\n6231 10628\n3074 7101\n5035 10029\n788 7079\n7236 10821\n392 5882\n6031 11016\n1408 3875\n4225 6496\n90 2354\n3228 6235\n3217 4085\n3547 4324\n4434 6076\n2189 8088\n1341 2649\n285 8980\n3046 9993\n2202 4456\n3029 9505\n777 8697\n2728 10673\n6425 12181\n1999 2352\n667 3980\n1365 2679\n3490 4758\n3367 11485\n9420 11086\n8258 9078\n7157 11249\n22 1044\n2469 10686\n6017 6818\n8821 10285\n660 1520\n4419 10110\n7215 11821\n4161 8129\n4371 10521\n4565 8253\n6554 10268\n8395 9957\n6076 8650\n5443 8841\n9530 11981\n7347 8559\n4599 10029\n2607 11442\n470 3944\n8729 11847\n8711 9354\n8824 10457\n4047 7550\n289 2069\n9185 9238\n7137 12076\n5044 9258\n1751 6658\n2953 4433\n5693 11967\n4399 4853\n9096 11629\n557 9466\n7984 8907\n3333 11944\n4076 10135\n6553 11715\n74 9867\n2679 3219\n4048 4315\n527 4953\n6387 8589\n3899 6797\n1553 9345\n6859 7438\n1213 6878\n4189 10060\n10871 11312\n5649 7591\n1271 4084\n7943 9704\n4775 5950\n2952 6834\n5925 12116\n7416 8904\n7043 8592\n4198 10669\n3425 7489\n9151 10778\n2732 8892\n6458 8320\n3121 6949\n9982 10459\n10501 12147\n6376 10950\n3122 10755\n6336 10972\n10536 12001\n7124 10026\n3689 12021\n969 10788\n5884 11861\n3681 8356\n4460 7798\n3505 6757\n8958 9088\n8140 12179\n3692 5651\n2222 8139\n1125 4049\n5717 9851\n3286 9845\n2455 7913\n6630 11438\n470 1841\n8415 11415\n2180 4821\n7511 10852\n592 8514\n4217 9022\n1763 11949\n1451 6612\n5271 10553\n3472 9176\n8194 10748\n820 8773\n2775 7911\n6106 7077\n125 729\n3597 3775\n9291 11058\n3070 9485\n3285 4157\n2967 9318\n4759 8659\n1634 7552\n3821 10852\n5244 10474\n5595 7087\n7920 10981\n3619 9805\n8373 11226\n11107 11365\n1857 11459\n3007 5952\n197 7947\n1059 2861\n10028 11001\n3885 5348\n8822 8840\n6028 7358\n5555 7016\n2085 3872\n629 4085\n955 10153\n8063 10791\n7591 11718\n2972 10287\n3791 7827\n1026 7665\n1651 8327\n4868 9832\n10153 11025\n5480 11132\n3461 6895\n5459 8580\n1283 8628\n6448 8252\n1323 3629\n7956 8156\n849 7466\n6345 11056\n3146 11455\n6126 10237\n7316 11667\n1948 2026\n9064 12098\n2295 4475\n192 427\n3003 4080\n457 10168\n3287 5959\n2426 4471\n45 1556\n2134 2210\n473 3785\n4214 8220\n5572 9467\n648 3834\n4118 9306\n7479 9885\n1318 7262\n2480 3048\n6362 9937\n7587 9471\n822 9036\n9726 10425\n6119 11579\n9301 10485\n1893 4830\n5516 11431\n7308 11550\n2491 4619\n6632 10941\n177 11468\n313 6665\n5492 8065\n1852 6882\n5027 8870\n1459 6295\n3277 7378\n4226 11976\n7940 12113\n1828 5290\n2619 11779\n3066 6318\n5704 11145\n2715 10163\n805 6109\n2269 11147\n406 7753\n3464 6521\n4262 10089\n5252 10020\n3584 8577\n1619 7557\n10232 12131\n255 3930\n9530 10629\n3650 9961\n6670 10071\n273 9025\n6710 8342\n1696 8200\n7103 10623\n3357 5987\n10763 11056\n1050 3162\n11419 11430\n1804 9702\n9951 10205\n9741 10063\n9077 11196\n9895 11579\n9171 11725\n7023 11826\n9179 10897\n7826 8039\n680 6475\n1947 3341\n4523 5369\n10024 11055\n8370 11236\n4905 6901\n4368 5090\n8001 11278\n1222 4949\n2989 7227\n8108 10640\n753 6653\n382 2290\n1489 8361\n4782 4981\n9424 11273\n4962 5989\n7980 10583\n8825 11473\n3038 3168\n3918 11259\n192 12187\n4455 5989\n3314 6529\n1522 10141\n991 4618\n1344 11917\n1410 11544\n48 1951\n9647 10496\n60 9901\n2669 12078\n1980 5348\n1775 4158\n931 6072\n10254 10867\n6007 11497\n1320 9816\n829 2254\n2600 8933\n10097 11078\n172 4065\n6146 10345\n6874 7844\n2673 5438\n3203 5215\n6429 10320\n5528 10375\n7019 11797\n1038 1256\n1275 4961\n3863 11350\n12 11253\n1369 3118\n8495 11319\n8258 10032\n2243 8942\n1180 7286\n5002 11938\n6185 11710\n5080 5232\n1706 5206\n1904 11556\n1357 7710\n3146 6393\n654 6408\n3207 11533\n5190 11103\n5068 12032\n7703 11902\n6277 9965\n7360 10302\n8565 10608\n1455 6444\n457 2398\n3555 3803\n1810 7162\n48 12038\n9770 10110\n4405 8160\n577 10686\n3054 6312\n7921 10507\n7129 9615\n6404 8106\n859 8375\n744 4419\n1448 5622\n1546 4076\n6017 11313\n997 7834\n8441 9303\n2328 11948\n7674 8587\n113 306\n773 3417\n5298 8155\n7474 8343\n928 8810\n9507 10189\n7978 10884\n2684 3228\n5323 8114\n3548 7525\n1158 5452\n2061 9634\n7230 8237\n170 4635\n699 6817\n10205 11813\n1353 3262\n1639 3616\n5393 8663\n2366 7156\n6622 11606\n7477 9230\n147 11095\n9912 10037\n1722 4809\n7083 8679\n1316 12154\n1451 10116\n3591 7035\n4813 11604\n3158 9632\n83 5884\n616 6483\n3302 6841\n6816 8601\n6306 7754\n481 2126\n3215 4008\n1726 4481\n1029 6136\n863 9750\n6033 11300\n7974 8070\n32 3284\n4039 10328\n3863 9900\n1480 10865\n3214 7135\n5463 6766\n11872 11921\n8495 9342\n4256 6666\n7813 9802\n8671 9884\n444 7560\n6646 10281\n4656 7177\n5042 7513\n1521 6931\n11257 11497\n1649 5870\n231 9969\n1334 8295\n6859 7002\n958 5992\n80 6707\n3622 4771\n726 7219\n5042 11237\n8599 8798\n780 9863\n7592 12174\n5474 10594\n6778 9909\n2118 3883\n2491 7476\n3549 10570\n7127 9625\n1715 12052\n5710 7464\n796 10305\n166 632\n3607 11505\n36 1469\n5390 5452\n1634 5601\n4316 10479\n5192 5977\n3877 7551\n1356 5085\n3051 3322\n4658 11470\n2320 12119\n977 8939\n1795 8118\n2863 4870\n6648 10542\n9901 10761\n7963 10319\n6188 10926\n1274 9303\n2687 5120\n4644 9901\n890 11387\n3249 7213\n850 9111\n3588 3671\n2917 9629\n559 2691\n4009 4498\n1247 3714\n7236 10123\n5611 10522\n11214 11496\n3509 9287\n8302 10867\n146 4130\n109 11450\n1588 3559\n2740 3606\n854 5122\n3816 6042\n11522 12134\n61 7429\n1110 4665\n557 5170\n7956 8130\n3628 6229\n8451 11459\n6267 9299\n771 2967\n3195 3467\n9041 11923\n1303 10455\n144 11240\n531 1808\n7844 8371\n1427 3192\n1667 9268\n4341 7067\n685 9376\n790 2570\n2973 7663\n441 2831\n1802 7321\n5322 9513\n554 4994\n2759 6043\n7111 7376\n5070 6891\n7200 7470\n5541 10900\n8399 9431\n2083 6725\n6768 8053\n8747 10941\n5793 6927\n896 9678\n5444 5776\n1414 1684\n4870 8447\n2749 10163\n5105 6330\n3682 10287\n225 5134\n6775 7707\n7665 10600\n4143 6660\n1811 10005\n5476 10180\n2094 3765\n2751 9474\n6149 8897\n6749 6883\n1822 11096\n671 10933\n1793 11842\n739 1162\n9083 11485\n2268 11296\n5448 6582\n3554 10329\n3010 11750\n4916 7274\n7797 9328\n832 1957\n6383 6689\n5587 5806\n1033 4273\n5437 7614\n2855 10894\n1262 7367\n169 4242\n4075 8252\n1107 8157\n8189 9831\n4562 8125\n2467 7566\n4013 10039\n3105 5753\n8571 9715\n1284 10560\n96 8133\n2319 7314\n5410 7754\n6531 11108\n618 7119\n4629 7982\n3380 3923\n3880 11867\n10028 11162\n261 6467\n4137 5945\n5755 11940\n10103 10661\n475 9974\n7851 8818\n2748 10014\n2422 8564\n7937 11687\n5217 8225\n4991 9685\n4396 7480\n6089 6149\n4784 9788\n11652 11719\n4902 7960\n1638 6642\n4139 11568\n2272 2792\n3862 9393\n453 3113\n3427 5875\n3112 11365\n3176 10507\n912 1631\n4081 4911\n6901 7316\n188 10946\n2767 10903\n5847 7918\n3472 7460\n3754 4617\n5917 8405\n1177 11124\n5539 7804\n2483 4387\n2225 2373\n1808 8799\n2513 5880\n5996 6612\n597 5857\n4109 6618\n2793 5375\n6162 8900\n1628 9160\n614 982\n4834 7947\n1691 4429\n5929 10865\n8429 9727\n1523 4256\n1147 11133\n3150 3596\n4511 5738\n6183 10047\n562 5548\n1738 8655\n5174 7565\n9165 11860\n9809 10606\n2830 4282\n5362 9001\n7927 10601\n378 1073\n8500 12156\n896 7134\n1151 8072\n8614 10210\n2046 7397\n6383 11695\n3228 11183\n973 8405\n2515 10138\n3471 6648\n4366 9242\n3374 11380\n786 8472\n4432 9740\n8724 11861\n4907 7723\n449 5436\n5240 8633\n1250 2598\n383 6716\n8477 9519\n234 1919\n4727 5896\n389 4198\n1162 9577\n8355 11961\n5262 10874\n7114 8244\n600 11791\n135 1025\n1406 3144\n2549 7147\n1300 6093\n1370 5195\n1211 1406\n1410 6907\n38 6094\n3873 10439\n3099 5537\n8404 11568\n689 10247\n35 11805\n2832 3427\n225 12188\n1901 10420\n1554 5177\n4122 7847\n6276 10840\n5441 10082\n2300 4906\n3204 6656\n3703 10169\n1236 3473\n12010 12186\n4715 11479\n3573 6482\n6743 8004\n77 2402\n3787 5081\n6739 11626\n2684 5687\n3596 6599\n1382 9293\n4253 10571\n2402 3151\n6316 6528\n3239 11299\n3390 4420\n5111 11549\n1454 5597\n3929 4155\n3127 5285\n4187 8197\n4146 7299\n4964 7868\n3865 6760\n4414 7145\n3642 8188\n2065 9987\n3221 8112\n957 4248\n2171 8630\n4508 11889\n10118 11936\n7062 11380\n404 5894\n2007 7423\n199 7816\n1919 3157\n4844 8634\n406 9175\n3621 9876\n100 8121\n8679 9334\n1791 5359\n2496 8356\n4239 5730\n81 7559\n4607 4813\n4957 7101\n7 8842\n5235 8098\n1658 4157\n4850 10050\n10078 11761\n12 2840\n5476 8395\n1466 10007\n5649 6521\n387 4373\n5706 6608\n4589 11435\n3564 5329\n206 8493\n2120 8657\n7681 10827\n1070 5053\n5693 6289\n10566 11101\n4290 5241\n67 10605\n2893 4567\n7320 9631\n4617 4943\n7766 8650\n6894 10723\n882 10221\n499 8269\n9250 11663\n59 5688\n10146 10256\n8319 9607\n9410 10132\n920 12022\n1318 2083\n6948 11145\n2527 11590\n7349 11672\n4900 5524\n4071 7249\n8059 9240\n1249 5304\n1298 8371\n214 2299\n7379 9858\n3329 9310\n11640 11702\n2025 7983\n3823 6475\n292 8113\n948 3927\n6293 9538\n838 6996\n2476 10105\n3786 7070\n2978 6585\n109 8465\n7091 9689\n7951 9638\n7185 12176\n8343 9145\n3066 8143\n3430 10986\n5381 5966\n5130 11662\n1004 11976\n5372 11711\n7038 10641\n11019 11734\n2701 8410\n7819 12022\n3624 7684\n1897 3272\n5380 10608\n838 5372\n3451 10721\n3964 5795\n2649 12157\n472 6031\n227 9238\n3069 8530\n8857 11573\n7007 10516\n5515 7648\n8744 11708\n7701 8649\n7385 7970\n1129 6132\n4912 7952\n9800 10620\n8651 11064\n8547 10774\n160 6494\n7001 11277\n1355 6773\n2304 9597\n1278 6313\n1936 5364\n1954 9371\n1557 10484\n773 3929\n3206 7320\n1433 4009\n355 11362\n5561 8607\n5256 9458\n8660 9646\n4727 11568\n4652 5368\n4893 11171\n242 3660\n7927 9716\n983 7126\n2300 4804\n2867 8013\n6636 8381\n6476 8827\n3910 9614\n2177 10454\n3033 9827\n6074 8926\n3608 3626\n11670 11969\n3924 7287\n6787 9543\n5612 5779\n7972 8451\n2272 5201\n2480 10942\n3707 7003\n1668 4586\n105 8335\n9928 10151\n1798 2176\n7519 8823\n478 5550\n306 10997\n9693 10428\n4977 9254\n4085 10717\n5653 11715\n1155 7177\n4996 8237\n3415 7095\n5765 6674\n2643 4879\n10004 10510\n7914 10359\n4846 7481\n6494 11711\n3399 8618\n3258 3857\n939 4138\n7416 8908\n3321 9614\n1936 6237\n6801 12018\n5063 6195\n6102 9627\n1583 7416\n1149 2423\n449 2338\n1367 6231\n1731 11605\n3351 4683\n9372 11453\n2832 8637\n844 8493\n3423 9049\n1461 8328\n1857 6014\n1230 11867\n3319 9794\n1420 3815\n2853 5451\n7161 10756\n1483 8177\n1272 6489\n5943 7783\n4037 11484\n3457 9654\n5095 5597\n544 2239\n4786 7244\n1027 3588\n235 6805\n4608 8122\n8089 9667\n6459 11523\n1396 1849\n1434 7148\n1961 3151\n6477 10091\n2494 10255\n4454 10857\n11884 11999\n8796 12043\n5932 9289\n3221 5105\n2885 5395\n5555 8730\n3701 8310\n4659 8988\n2232 6889\n6079 7015\n138 10607\n5943 9887\n5090 7019\n7178 9164\n5196 11129\n934 4033\n8256 11117\n1883 4564\n5043 11031\n2126 11029\n410 1393\n4824 8286\n2449 2921\n5027 7271\n511 4009\n10009 10693\n2519 9145\n1665 8278\n7189 10093\n1202 7756\n4964 8376\n5983 11823\n7656 10682\n7814 7960\n9855 10276\n8493 12163\n3485 10473\n373 658\n4902 6929\n9466 12080\n1017 4348\n2685 3639\n6075 8274\n1136 2398\n109 6817\n829 10438\n4795 12043\n5830 11634\n9478 10371\n1102 10626\n2727 2957\n1191 4243\n5973 6215\n3358 7174\n290 8162\n4320 11469\n2494 3738\n592 2087\n3668 8185\n1237 8925\n4127 8340\n6763 9525\n6466 10754\n1334 7767\n6608 8211\n118 330\n2990 7339\n4482 11293\n6807 11158\n9158 11076\n410 9324\n10909 11368\n1213 4953\n2410 5681\n2629 10470\n2819 7847\n609 3283\n6452 10642\n2344 7677\n2868 6365\n8501 10867\n6806 10142\n10355 10447\n8750 11332\n3043 8181\n2950 4313\n7217 7596\n4340 8501\n6832 10973\n5093 6562\n1191 1718\n4117 10696\n1354 8645\n4588 5425\n3072 3741\n1168 11009\n1604 11320\n2124 5912\n6049 8421\n9014 9405\n3501 10937\n10001 11385\n371 4747\n931 5297\n2766 11029\n1069 8991\n245 9883\n3761 11623\n2975 3905\n4830 10130\n5576 6771\n2632 9395\n7294 8521\n3238 6984\n6232 11466\n2118 8448\n7570 9785\n7034 11658\n1168 10632\n884 6935\n3945 6617\n4335 11415\n1097 7756\n10430 11419\n4676 9713\n9392 12000\n5570 9402\n1459 10380\n2436 4301\n8546 12058\n4207 4478\n2325 2988\n1789 7934\n108 1658\n3566 9934\n391 10980\n4403 10511\n7522 8221\n1078 7317\n10961 12171\n2691 7395\n3646 11152\n4677 7565\n3044 8861\n8669 10971\n2346 3392\n9858 10241\n1335 5038\n1676 2595\n9400 10118\n652 1359\n6499 9878\n9288 9513\n6486 9178\n3402 8041\n5381 6290\n3669 10787\n3869 6542\n7383 9191\n2881 4487\n1659 7044\n1343 4650\n9459 9880\n5000 6523\n4077 6955\n2385 9483\n8665 10483\n6416 11046\n2947 3108\n3624 11817\n4130 11136\n5509 5939\n5257 7895\n2399 11785\n5216 6460\n6492 8326\n1596 2083\n1433 7937\n3393 9391\n4352 7207\n2516 5525\n450 6579\n7189 7426\n6412 8834\n787 3206\n2620 9141\n1859 6760\n6811 7939\n4288 9262\n3012 11125\n1423 8662\n17 173\n2503 2747\n1586 11250\n10451 12192\n6672 10335\n434 856\n35 1217\n5069 8359\n8766 11428\n2630 8465\n3110 6292\n4304 8974\n835 5196\n5175 7777\n6175 8225\n6981 10470\n3040 11197\n4903 6489\n4027 8361\n7062 11700\n2894 5086\n372 10003\n4932 5749\n9820 11751\n1517 5617\n6293 11784\n6169 12115\n1199 9906\n9367 10963\n6573 10436\n6865 12013\n5791 10422\n6888 10764\n3221 6700\n1150 8660\n6904 9027\n402 5210\n9683 11150\n8187 10382\n1386 2671\n3630 10273\n2628 10651\n6917 8235\n5451 12159\n7714 10202\n1535 12124\n1894 8511\n457 5834\n1298 2317\n4768 7225\n751 9718\n5312 7876\n1110 3799\n8185 10317\n616 4492\n2318 6823\n3358 5885\n4725 7607\n10009 11050\n871 9825\n1154 7091\n3589 5108\n7665 8183\n579 9884\n10419 11659\n230 8030\n639 2903\n459 1576\n10063 11639\n1502 2538\n4161 4371\n3376 4422\n906 6728\n4041 8590\n5191 5490\n3224 4918\n5694 11922\n9824 11216\n1672 10105\n1461 7850\n6701 11346\n1767 8661\n1062 7971\n3149 3825\n4036 11662\n3804 9637\n5601 8431\n3948 9140\n9137 11324\n3201 4386\n824 9619\n7285 8222\n742 4895\n7092 11893\n2794 8708\n2571 8661\n9214 11672\n3363 8776\n4981 12053\n402 9614\n2844 8875\n2919 9497\n5045 9172\n2534 6868\n5590 9803\n3090 10664\n9856 11822\n1173 11016\n5032 9957\n1029 6794\n7883 10205\n9357 10939\n2201 3686\n5588 9320\n5368 10026\n4806 4990\n11473 11829\n218 1939\n5885 6149\n8239 10774\n5417 7849\n450 2093\n7161 8012\n6092 6423\n1867 10610\n8523 10494\n7568 9789\n237 7914\n9315 11741\n1741 5997\n1002 12034\n4843 8582\n1357 6403\n2168 10708\n4491 11641\n10132 11644\n2961 4976\n6222 8375\n4180 7019\n2304 2887\n7488 11347\n310 4742\n3177 9243\n1036 1714\n8829 11386\n5212 10921\n3283 9680\n2983 10413\n5559 10936\n8795 9233\n7143 10818\n2696 5998\n11750 12014\n527 3680\n2655 3500\n3834 6170\n2241 5766\n5518 11297\n8509 10804\n318 1241\n5595 8219\n6296 12163\n11505 11674\n3150 7220\n5193 6203\n7890 10411\n2564 8280\n8295 8622\n1136 4751\n1924 6809\n1302 7456\n5032 10875\n1154 10963\n1417 6838\n10251 10729\n2119 7701\n1308 1995\n1429 5920\n892 2577\n2685 3720\n11071 11139\n5707 10234\n3656 6507\n6213 6657\n5903 11046\n3468 7922\n2792 6993\n64 3528\n9906 10282\n5911 10807\n7644 10076\n2466 7055\n1030 1046\n5752 7761\n9215 11774\n7844 11538\n1456 3546\n668 4227\n3173 4079\n2909 5574\n1857 8017\n3267 9749\n3989 11302\n5363 11804\n3478 6199\n7786 11527\n2346 7071\n4210 5579\n813 7976\n4603 5325\n5430 10747\n6828 10725\n9097 9885\n574 7481\n4796 7700\n2474 3486\n1572 11714\n4330 11117\n2627 6791\n967 6030\n745 5657\n672 3357\n6793 11216\n10389 11316\n4310 8052\n1046 1069\n2120 8263\n2432 10011\n6680 10434\n3305 8964\n239 10766\n2198 8575\n8859 11044\n436 7082\n925 5214\n2924 5956\n9358 12103\n2200 6148\n3395 11549\n3367 5302\n758 8379\n6741 9372\n3360 9918\n5524 11360\n6049 10747\n6299 8777\n2512 9881\n303 7766\n4557 8396\n7434 8298\n205 7758\n6767 8699\n3543 6562\n580 10664\n1971 2316\n2370 8023\n3316 9421\n5481 9668\n8262 8424\n7463 8426\n3303 7503\n6086 8949\n9959 11207\n1810 6663\n1228 3849\n10009 11607\n3483 8784\n2921 6483\n320 9334\n1059 9478\n1107 4269\n4022 11013\n6135 10170\n9028 11807\n1538 8257\n4674 7183\n2017 10824\n6686 9170\n3497 5391\n7158 11300\n2773 4394\n9021 9452\n3050 3485\n2234 11762\n746 1863\n1034 9256\n3727 8925\n2976 4500\n2776 9896\n5528 5701\n11285 11969\n8780 12087\n6737 7586\n7675 8062\n1334 10677\n3974 5496\n1669 6446\n7547 7716\n6295 7511\n588 4324\n11615 11708\n2066 8094\n3476 3597\n3930 6573\n1241 3231\n9044 10481\n1355 3794\n7411 10898\n7935 11585\n9798 10612\n3193 5863\n2832 10075\n751 9883\n4236 9844\n6594 7536\n11298 11426\n7629 11998\n2074 3873\n5865 11799\n1524 10297\n1129 3962\n3674 6803\n4163 9199\n4501 8115\n378 9844\n2415 10438\n4399 10766\n2192 6546\n2646 7792\n10733 11056\n10322 11541\n6569 8485\n4117 11523\n3838 5723\n4279 10332\n1260 11885\n2595 5257\n3285 8518\n4316 6931\n8121 8289\n8074 11868\n2483 8781\n5745 12173\n265 6725\n2350 5771\n4478 7982\n435 3114\n783 1662\n2768 4735\n6628 10544\n5491 11785\n6202 9243\n11768 12183\n4057 6237\n3172 4029\n2583 10279\n1759 11717\n8022 11211\n5232 6413\n1449 1995\n6378 9882\n8416 11558\n3297 3684\n3231 12026\n2261 5335\n6280 6599\n4774 8950\n2089 4969\n2768 11711\n11782 12087\n9076 9154\n1390 12047\n10528 10557\n205 10144\n1551 6715\n2950 4585\n1300 4686\n7016 7024\n3432 11535\n6093 6225\n4663 9401\n8950 10450\n8252 8613\n1348 3486\n10013 10339\n1421 5355\n4125 7568\n9716 11240\n923 5115\n3525 8205\n741 3279\n1942 2846\n7466 11459\n505 7223\n1022 10574\n3441 6032\n9070 9746\n7991 9996\n4927 8960\n2873 7802\n11488 12176\n1840 2751\n496 9236\n4635 6872\n2024 3311\n5075 6542\n9128 11346\n5660 11060\n2850 8831\n193 4707\n3449 8010\n338 7101\n5112 9896\n2286 2991\n289 11369\n3260 8430\n8088 9072\n889 2897\n3190 9877\n1622 1924\n923 11393\n3287 10896\n9540 11308\n2458 10955\n1155 2232\n2533 12168\n583 9082\n1119 8615\n8024 9264\n511 6702\n6737 8017\n8230 8782\n2269 9432\n565 6564\n719 2909\n6940 9381\n469 8949\n1101 6005\n4451 10021\n457 3965\n2360 8286\n4314 11695\n5941 9632\n5061 7523\n2458 3978\n2362 2568\n2278 8054\n372 6875\n3481 6754\n2453 10501\n6366 7324\n623 5534\n564 2020\n7779 9011\n6365 10457\n1552 7410\n3664 6444\n2084 12147\n1072 9335\n2141 7525\n1020 4376\n3406 3558\n78 4606\n5373 8560\n5700 10389\n3592 3633\n877 3164\n6754 7979\n333 2569\n1808 12049\n6345 8502\n3148 10185\n6067 8327\n3742 6664\n2786 10033\n10599 10930\n3448 9040\n936 9810\n42 2585\n10145 10392\n9697 10968\n6741 7015\n5654 6160\n2397 3993\n8553 9569\n6840 6888\n2770 3558\n253 8353\n4474 11622\n4910 10047\n8223 11481\n7683 8382\n7206 7234\n1750 2423\n7802 7913\n4780 8805\n7208 10270\n3033 6186\n7187 9604\n1680 5652\n5390 10925\n6933 11134\n5774 9188\n1818 11943\n1921 11766\n295 5183\n6201 11001\n593 2123\n2779 8925\n1944 9460\n9759 11470\n790 3680\n1001 3591\n3475 9340\n112 4516\n2528 5424\n260 11929\n3050 11943\n1620 7659\n442 9178\n1319 2618\n8979 10772\n6767 9102\n131 589\n4955 11197\n4943 9727\n2995 4671\n480 883\n5195 6788\n4930 8257\n2015 4394\n6509 11748\n1892 11206\n2429 8365\n7858 12158\n5668 5928\n1863 8916\n601 3976\n1035 1615\n201 4269\n5768 6878\n1477 10825\n335 8084\n2757 5085\n7033 9032\n4122 9037\n2359 12181\n2635 9404\n1146 1880\n7061 8927\n7313 8056\n7606 11628\n9408 10231\n2801 8323\n2618 6677\n5676 9406\n551 6106\n2256 2463\n10526 11527\n4405 4581\n7437 11842\n372 1857\n7973 10743\n1805 4423\n6183 6470\n2282 10993\n10143 11958\n5892 6106\n8223 12165\n4069 10583\n3158 6550\n9219 11221\n526 5158\n6063 7224\n1694 2339\n4048 11810\n1260 4495\n6763 7457\n2239 11770\n5227 6178\n984 2132\n6083 10627\n1589 6723\n4942 10751\n607 3800\n998 2068\n2854 9298\n4919 11308\n1649 4295\n8508 8665\n2760 6765\n276 745\n7277 10173\n4862 7845\n639 7189\n5541 6657\n1630 10366\n6183 7501\n1106 5243\n2325 11432\n4740 12029\n3297 6058\n4048 8874\n5931 10668\n2103 4314\n344 2892\n4706 7609\n1161 10436\n10431 10835\n2225 4963\n6581 6587\n9447 9801\n7613 10434\n1553 4822\n2230 7798\n3595 6953\n6689 12014\n112 6766\n8930 11835\n4266 6068\n833 9193\n2877 4852\n5835 10122\n3561 9145\n1602 3085\n4693 11606\n5018 8210\n2392 4313\n3818 10419\n7869 9319\n3014 10071\n8124 10631\n1687 3875\n12104 12189\n3861 7607\n3359 4024\n2587 4214\n1448 7356\n479 6664\n3952 9359\n5766 10076\n9600 11355\n11172 11809\n5080 8948\n471 604\n2976 7078\n144 8863\n531 9908\n2008 8366\n4934 10072\n10319 11964\n1130 11450\n789 4846\n11239 12008\n862 5713\n4175 5232\n3007 3597\n914 5079\n1777 8963\n5307 11199\n6797 9866\n7033 7439\n7202 10359\n8353 8420\n3356 12164\n2825 8072\n6331 6462\n3397 11301\n9403 11007\n7200 7300\n2944 5862\n5819 6465\n3350 7125\n7184 10427\n8106 9123\n1370 8107\n5462 6777\n459 6151\n2978 9302\n5264 12081\n3889 9371\n743 1165\n1544 8255\n2340 9467\n1017 4694\n2673 7851\n11004 11570\n4619 7235\n9017 11480\n3477 9815\n9855 10530\n2792 11835\n1055 8546\n59 565\n4205 11371\n2031 3327\n7201 10306\n1138 7739\n2787 10347\n9419 9495\n6603 11149\n6389 9860\n7828 11269\n2795 6988\n2644 4820\n509 11068\n315 5979\n9032 10912\n2961 9256\n3964 4207\n2070 6039\n51 2526\n1808 8818\n587 671\n1958 7223\n7857 9267\n428 10521\n165 8270\n1608 12087\n3806 11141\n7443 11406\n1449 4819\n6157 11306\n9660 11984\n4112 9709\n3883 9682\n2702 6912\n325 3468\n4722 9753\n531 10933\n3658 4569\n382 11498\n1481 1527\n3893 10929\n3208 11557\n773 6063\n4132 6658\n3616 7398\n6168 8550\n1650 11762\n7999 9235\n943 10821\n5678 10539\n1027 8589\n2596 5493\n2814 6359\n7521 11933\n9593 11249\n9580 10184\n6965 8250\n2191 7185\n3387 3816\n8303 11406\n1723 8244\n3104 6391\n4340 8185\n8110 11554\n4221 6741\n3172 6300\n9429 10012\n5424 11021\n10237 10512\n5359 12147\n4582 5553\n1829 9876\n680 778\n4257 7407\n3096 11977\n2832 6262\n4381 5554\n11170 11439\n1186 6821\n2799 11679\n1598 2562\n5568 6369\n30 10442\n1160 10157\n7206 8051\n2664 6475\n2133 11399\n2037 8334\n991 10504\n222 5977\n731 10829\n141 315\n9544 11015\n8281 10432\n8080 10287\n6388 7990\n5673 10535\n483 7564\n1063 8409\n9575 12144\n3087 10055\n7068 11363\n6050 11121\n6993 7730\n3064 11930\n4179 11198\n1774 10512\n6030 6103\n3479 8411\n2600 4825\n2884 3041\n7162 11423\n7926 10048\n7350 11716\n1266 2847\n2310 11955\n4146 7663\n2395 4309\n5751 9202\n146 7493\n82 1425\n1329 6729\n2900 3640\n8490 11146\n5843 8347\n1189 6997\n7914 10955\n7800 11815\n132 4690\n10474 11343\n8089 9560\n6565 8817\n4257 11164\n3896 5597\n8716 10041\n3681 6084\n4560 8569\n5663 11726\n1795 11043\n2437 4285\n779 8745\n335 4724\n1144 8075\n1255 1512\n1434 2072\n7618 9342\n6534 11225\n8310 10118\n2167 6289\n1008 3966\n5952 9692\n72 7670\n1220 2505\n9845 10024\n3963 6750\n213 12002\n2379 10853\n817 9891\n5510 8441\n1680 4121\n9674 11020\n3621 11461\n2380 10919\n302 8230\n379 9852\n99 2238\n838 10553\n1778 10504\n3845 11423\n1827 6220\n8180 10531\n541 6584\n5975 9054\n6301 8077\n2396 7792\n3100 6758\n2101 7962\n6268 11278\n3647 5916\n6292 6528\n3963 7339\n10906 11605\n2235 8162\n5033 5614\n5870 9018\n446 7454\n2748 8385\n6162 7519\n6267 7189\n242 7472\n721 12024\n2645 9915\n3941 10550\n648 2247\n3344 10089\n3595 12056\n7900 9802\n4520 7093\n249 805\n283 4983\n4360 4734\n2770 5832\n7994 9634\n6097 7501\n10244 11236\n3811 7800\n11035 11466\n7195 9064\n6162 11717\n883 8848\n10954 11200\n2331 6986\n4002 7620\n611 2433\n3870 9110\n3294 3976\n8482 9078\n720 9148\n71 10618\n4146 11319\n206 5974\n553 12074\n441 9770\n134 11348\n2276 7180\n5227 11033\n6417 9091\n1216 11926\n4348 9428\n8534 9828\n680 9351\n8255 9403\n3473 4195\n1322 2513\n2913 9916\n330 6957\n8270 8996\n5874 10999\n4789 11714\n3357 5509\n6189 6210\n7853 11714\n709 10399\n6611 12164\n67 427\n3196 3877\n3659 9795\n5176 6042\n1867 12142\n2956 11697\n1896 3883\n3813 7323\n243 4768\n5127 8566\n6671 11942\n1729 4527\n53 10028\n4895 9573\n963 11114\n6934 8526\n1982 11766\n6242 7444\n3124 10974\n1919 3160\n960 12135\n5400 12099\n2416 11163\n3507 6640\n760 1915\n1146 2374\n3983 4565\n4863 10644\n5869 6722\n6563 6824\n3176 10475\n71 6217\n2809 11509\n4052 6288\n2961 4972\n7584 8622\n4832 9186\n7510 8585\n2812 9901\n5788 8129\n4117 8508\n2411 2527\n4409 6638\n10927 12031\n584 6115\n505 5383\n331 9266\n2546 7573\n2368 5992\n67 8843\n2443 5016\n2634 5157\n1671 5876\n5383 12072\n5602 8942\n6154 11780\n6492 10254\n1473 10609\n7493 11905\n1297 10739\n4514 6581\n9137 9359\n2234 6706\n422 6261\n39 4301\n4667 7997\n3113 8905\n627 5746\n11490 11789\n9088 9717\n5959 9392\n3925 6676\n848 1008\n1020 10696\n6952 7999\n618 11388\n2232 6568\n9420 11389\n8332 11498\n5296 8625\n4918 11786\n167 10252\n2246 8138\n5432 9756\n9318 10825\n363 6547\n3982 9537\n11677 11839\n4921 5457\n1412 10393\n7357 10211\n6578 7756\n4406 7960\n7357 12005\n5885 10026\n9418 11449\n1398 2582\n3932 5575\n5335 8301\n794 5242\n2043 8719\n9980 9984\n1792 9439\n907 9501\n7547 10054\n5910 7287\n1769 10079\n4493 6495\n8181 11147\n2461 4882\n8451 11137\n2093 6570\n2815 3225\n1399 2496\n467 10224\n8944 10600\n8841 12060\n6250 10043\n650 9077\n89 9198\n5342 7202\n4829 9301\n10891 12011\n6940 8430\n2574 11530\n6668 8154\n7068 10081\n5730 10330\n3169 4920\n818 9179\n6590 7306\n7709 9172\n8904 9419\n3726 10795\n7050 8524\n3665 7112\n419 6380\n9633 11530\n1330 7581\n1813 8262\n1938 9462\n1769 9735\n10428 11324\n239 11614\n5855 7482\n640 10860\n4037 5843\n1816 8150\n114 1974\n5389 11735\n1884 10804\n2855 11137\n9064 10121\n3891 5153\n3441 7874\n256 8928\n9837 10941\n2499 6047\n5022 8507\n4529 6745\n7784 8556\n729 6355\n7436 9807\n1661 4717\n2605 3945\n6227 11016\n9535 11473\n3823 3917\n943 7114\n2301 11695\n5294 10677\n9268 10331\n6173 7229\n8659 11897\n1601 3765\n3162 4136\n8047 9171\n783 10609\n3268 3584\n6393 7674\n4916 8175\n4843 7357\n4180 5954\n1218 2786\n257 6272\n675 3213\n7027 8392\n3436 3786\n2399 2801\n6772 9526\n2176 3100\n6770 7933\n4955 9058\n9960 10198\n4721 5651\n4511 8128\n5913 7649\n3970 7071\n3455 8006\n4477 8081\n6088 7975\n892 12041\n4400 10962\n4620 6649\n5695 9606\n2979 9766\n344 3729\n6804 7978\n8743 10853\n1158 7657\n2530 2612\n5646 10697\n189 3239\n4697 11765\n1200 6570\n2675 7172\n1199 5765\n2211 4992\n308 1334\n3493 10315\n5447 9454\n7322 11513\n3402 10745\n3801 11888\n4325 7841\n4054 10639\n4447 8412\n7939 9027\n11104 11242\n7037 7461\n259 5429\n4224 8441\n368 4678\n3663 7625\n5864 7629\n7208 7783\n377 11046\n6314 11461\n4373 9437\n10374 12057\n4047 6268\n8638 9735\n1552 6387\n8770 9325\n9529 10665\n2109 3274\n2775 11626\n7342 7628\n4306 9727\n5851 9766\n8462 10015\n1741 2342\n1707 3007\n7719 9755\n863 12087\n5530 10169\n6788 7398\n6200 7329\n4552 7025\n487 11172\n1684 6311\n1860 2527\n6613 7163\n4532 5472\n6244 10251\n972 3689\n78 6040\n1814 6747\n8 10115\n7396 8220\n4294 8951\n7708 10573\n10269 10768\n1599 9738\n923 11759\n4178 8296\n2598 6108\n2880 4872\n6000 6825\n8832 11152\n2612 5325\n6107 10550\n142 5515\n3158 3446\n2067 2742\n4992 11034\n4300 6101\n3821 10342\n8354 10902\n3691 6822\n5819 5938\n4888 8190\n6653 8007\n2881 6071\n3051 6395\n8757 10610\n3022 3640\n5118 9554\n532 6147\n1128 3899\n1198 3522\n3165 7255\n1353 10370\n8034 9733\n8420 9759\n5990 7057\n6599 10060\n1018 4612\n4649 7882\n3223 7816\n1347 2804\n2873 11980\n5055 6649\n4334 6899\n139 7410\n153 2123\n7426 9901\n236 253\n4293 5819\n7649 7882\n2178 7117\n2488 3115\n2203 5634\n2354 12082\n2495 6707\n3131 5812\n7064 10269\n3746 7991\n2257 4333\n3208 7294\n2733 11109\n3361 10210\n2783 9870\n5064 5833\n1493 1931\n1465 11590\n592 5583\n9949 11404\n6761 8129\n9867 11065\n48 1503\n7228 10846\n938 7655\n4402 10440\n3924 6763\n2575 6852\n4275 11032\n10363 10666\n1534 7981\n2818 3151\n816 2735\n4955 11077\n271 5855\n7683 8626\n8172 11229\n1521 5764\n8105 9756\n2353 10353\n2731 4645\n2580 11433\n3005 7931\n2899 6512\n1746 3325\n5300 8567\n50 5904\n3691 11258\n3577 8501\n1917 4009\n5320 7388\n1775 9624\n9343 10645\n613 8306\n6673 7169\n2082 6633\n5883 11005\n3928 11981\n3359 6057\n3493 8550\n5456 5614\n2663 5841\n9129 11958\n5215 9956\n4990 7700\n4169 4306\n78 8461\n5010 10836\n4977 8553\n2616 6882\n314 1369\n981 9403\n8280 10954\n2721 3287\n8132 11332\n6657 9072\n337 5387\n4393 7335\n1152 1520\n7715 11662\n8470 10742\n3061 10306\n1685 5778\n2867 7904\n6756 9966\n592 10855\n6669 7754\n1490 2924\n457 9828\n1260 3221\n4412 7263\n1731 6511\n2175 6274\n6089 11924\n1774 3825\n6339 9826\n2389 11769\n6289 9651\n1420 7476\n910 7371\n4539 5061\n6020 7695\n2344 4707\n8410 11256\n2613 5219\n5721 6471\n6297 9977\n2342 9979\n5643 9825\n7762 10165\n6762 7674\n7005 10621\n1984 11654\n960 2392\n1611 3842\n5154 5272\n5063 5559\n5760 6761\n1170 8897\n1006 10683\n8896 11045\n5894 9677\n6859 7846\n5271 8244\n3188 5770\n1430 3177\n4999 8117\n6634 7903\n7644 9466\n1697 3938\n4698 10974\n130 12176\n9124 10890\n4632 10715\n1208 9661\n1593 12189\n2260 3352\n4234 11367\n4253 8446\n9601 9677\n4293 8929\n6609 8186\n3714 9327\n369 2889\n5553 7426\n7864 8734\n7028 11911\n2640 5225\n10179 11137\n7588 8185\n6035 6285\n5675 12061\n8955 9864\n2694 9223\n7353 11773\n7128 11099\n8266 8348\n7195 8236\n5861 10924\n8694 9789\n1783 5081\n2344 11401\n4823 5402\n2307 9709\n3215 5620\n374 2959\n1690 4252\n838 10161\n2311 11274\n4180 8350\n675 991\n10671 11887\n5361 7310\n2389 4424\n10402 12060\n5133 7220\n3597 3856\n1571 9719\n3385 10543\n8059 8437\n2354 4747\n1791 6778\n2018 8444\n8565 10355\n7 8558\n92 6303\n5662 9397\n1425 4178\n5432 9743\n4297 5460\n310 9210\n6911 11340\n1856 7387\n3391 11783\n677 1890\n8093 10378\n2774 9459\n94 4086\n2774 9479\n2322 10961\n4449 5718\n4088 7931\n723 8621\n4136 11094\n2166 3302\n9176 11465\n11194 12143\n395 11648\n3690 9514\n7644 9501\n6812 10302\n901 1172\n105 7498\n1878 10208\n2040 4991\n7601 8843\n439 6400\n709 3662\n3505 8954\n4739 10175\n1419 3080\n557 5023\n6275 11586\n7815 7949\n10125 11603\n6055 7825\n6783 9157\n7427 11446\n3702 11508\n5255 11761\n3307 5103\n5237 11796\n5045 5590\n124 2871\n2282 10320\n7423 10704\n1436 9685\n5262 9574\n3857 8992\n10080 10630\n7917 10664\n1274 11169\n640 1821\n3766 8718\n1671 10805\n8329 11734\n2082 9663\n3284 3558\n4119 7698\n9654 10031\n5682 7515\n4582 9571\n3450 3924\n6737 10476\n776 9839\n4240 8033\n378 4609\n2413 11667\n3413 7675\n7820 8525\n3986 11298\n3339 7213\n6954 8561\n3687 11927\n7196 8708\n1440 7526\n4185 6504\n8514 10054\n7386 10327\n5541 8409\n1054 11271\n4279 9094\n1282 8617\n5775 9313\n2582 9036\n2544 5362\n3887 10512\n1219 8719\n1243 5143\n5333 11180\n6876 9968\n5622 8600\n3768 10231\n242 8164\n5864 8917\n2014 6075\n4657 8782\n3583 8531\n1084 8456\n2788 7989\n1717 9082\n5600 8838\n6785 12186\n4768 5685\n2325 6650\n1137 8493\n4908 10882\n1057 3361\n7408 11474\n7204 9881\n8699 9448\n3898 9786\n8511 10630\n2240 9742\n2592 2823\n6050 8407\n151 5026\n3434 6947\n1427 1632\n1726 2103\n6197 8298\n9957 11136\n3109 6947\n1086 4422\n4643 7459\n3567 7515\n1463 6357\n7346 11944\n608 11784\n6174 6301\n914 11813\n5777 9858\n1106 6223\n3509 6580\n5219 6491\n1689 10656\n2750 9833\n3140 10872\n5640 7655\n3974 6305\n3891 11257\n4763 12166\n27 5023\n8842 11655\n7252 7532\n3703 10811\n3025 7010\n4774 6340\n7417 9627\n2352 10982\n7675 9038\n5941 6201\n2936 10072\n1259 4015\n2940 4507\n4114 7025\n7489 9570\n8263 9671\n9001 9959\n1785 9088\n6862 9446\n7945 10680\n7315 8331\n3257 4163\n8203 11797\n1483 10459\n2284 9073\n7773 12085\n2550 4241\n3577 6383\n7860 11864\n7900 11483\n6966 9963\n3033 9817\n370 1878\n5701 10619\n2860 7012\n7167 11240\n5248 6823\n238 4674\n2814 5317\n4896 5143\n528 3748\n2217 6574\n6614 9312\n4495 8458\n10795 11175\n2358 10672\n6090 6555\n6290 7282\n3333 11341\n4094 10324\n1356 10916\n3509 7394\n5867 11365\n5928 11446\n8369 8968\n2613 7674\n3134 4515\n6804 7249\n7880 8879\n3956 8313\n8088 12007\n3377 7605\n969 8813\n9419 11107\n384 10109\n3826 5441\n3119 7149\n4038 7204\n9137 10447\n5303 9088\n4569 6780\n1597 11560\n7831 8528\n1051 5141\n2804 8278\n5421 9057\n1210 10880\n2734 5005\n2700 5769\n2310 10923\n6238 7784\n2978 5337\n8556 11318\n6893 9098\n1941 6493\n3767 6241\n3510 4204\n2486 4983\n4406 9457\n2382 7014\n8135 8895\n422 4964\n2210 8528\n2833 4688\n8422 11976\n3554 7978\n3949 8066\n4163 4924\n8367 11407\n591 2717\n9270 10618\n2119 10350\n3383 6704\n4375 7617\n9384 10775\n182 4841\n10828 10845\n1479 7064\n31 854\n4949 5436\n2549 4078\n1087 9927\n8924 12158\n5799 6715\n3534 7587\n2111 7547\n7818 9952\n624 9328\n649 5189\n7935 8851\n1325 11277\n2094 11964\n7054 7272\n1018 5086\n7450 9485\n3766 9626\n2556 4655\n221 289\n9109 11049\n5415 11134\n4424 7205\n4467 6185\n7210 7957\n4886 8806\n2892 3973\n4911 7139\n645 4668\n1951 5884\n8 11748\n4168 9432\n4825 9890\n2030 5342\n2579 9276\n5324 8691\n7185 10285\n2739 11667\n3828 5417\n8510 9804\n125 3934\n72 12101\n1239 7020\n4809 5368\n385 4461\n9107 11990\n3706 7442\n1143 5547\n2740 11550\n3074 7578\n6425 8471\n5435 9913\n365 10189\n1664 3579\n6839 10699\n1617 9381\n9108 9227\n1071 3231\n9254 10058\n9986 11995\n2298 3856\n7588 7716\n3611 3964\n3739 7833\n7816 10654\n3166 11270\n3778 11267\n4804 9033\n2808 7635\n8697 10882\n52 11639\n526 4580\n563 1884\n4849 11834\n5051 5833\n5815 11099\n4747 5712\n1944 9876\n7121 7820\n4438 7849\n7407 11869\n2911 7297\n5565 8051\n6974 10702\n10106 10219\n7152 8943\n5772 5973\n2657 4613\n1862 10247\n2898 7488\n1764 2599\n4122 6229\n4538 8334\n3370 8357\n913 8883\n1415 1818\n8142 11214\n10112 12043\n5414 10030\n4437 10077\n11123 12061\n2051 11338\n4915 5243\n3286 10206\n5351 8828\n53 10015\n5310 10616\n7949 10103\n9395 9882\n3890 12023\n9 5839\n929 8841\n6204 7235\n4447 6905\n10535 11530\n3502 7671\n7112 7415\n4231 5686\n6035 7272\n7597 9651\n9707 10255\n4208 5031\n4062 5998\n4650 11802\n11749 11991\n1619 9370\n1360 8326\n180 4441\n",
        "output": "306\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 90,
        "task_id": 541,
        "test_case_id": 23,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "15307 30669\n2520 2824\n3445 14590\n10329 11458\n1850 9225\n6548 12574\n1368 1515\n3585 10955\n10891 14714\n4631 7386\n7896 11067\n4034 13994\n3783 8148\n8594 13785\n2171 14805\n3144 12118\n1779 4548\n622 9209\n1612 9681\n2200 12945\n3854 14613\n3406 11619\n772 2118\n5763 8156\n3067 10474\n11935 13341\n6102 9452\n10791 14972\n1022 7607\n5513 7612\n9 11438\n2984 12779\n5155 5686\n8970 12320\n11732 14806\n3202 8329\n9729 15282\n3933 9764\n2406 7682\n1447 5440\n5545 6656\n7832 9964\n503 9136\n2907 13487\n7360 9361\n3235 11195\n9693 13346\n2741 4608\n235 1565\n4847 13182\n7442 14287\n2575 7234\n1261 8382\n3512 4464\n4127 13540\n7230 12750\n98 10183\n6269 7901\n1199 7356\n9694 12604\n1016 1448\n3090 9095\n322 9160\n283 11637\n654 12367\n1189 10467\n2089 12363\n10636 13689\n10105 13487\n1273 7942\n3181 4464\n830 5147\n9171 12385\n5479 11631\n6090 9630\n1449 6229\n9046 13809\n694 13360\n2044 8181\n545 15194\n7254 7319\n4523 11188\n5992 6066\n10046 13576\n9202 9650\n4006 8903\n3579 12414\n210 8782\n10963 14998\n7326 7537\n2534 5457\n2559 11449\n1618 7335\n2489 11029\n2092 5777\n2125 8546\n8602 10127\n625 13117\n10856 11554\n5138 11027\n2663 10124\n10605 10780\n13270 13677\n10346 14357\n1446 14338\n2307 6405\n14 9331\n12373 14574\n3289 10514\n624 10222\n4776 7405\n709 9275\n933 11626\n320 9235\n4672 6284\n15 7731\n873 6350\n1294 13446\n163 5326\n2695 6507\n3952 7980\n15035 15046\n7929 13514\n5134 8096\n11197 14697\n3042 8973\n3604 7738\n6483 6661\n6479 13314\n3979 9934\n5376 12230\n740 13356\n13243 13691\n6183 15152\n2471 7540\n2981 11953\n9954 12194\n1093 14264\n6074 11264\n3849 12783\n8357 12879\n3779 4370\n8753 12324\n9957 11247\n1957 6244\n5450 14099\n4572 15073\n4632 11384\n5567 14142\n14100 14711\n3728 6314\n5031 12782\n6616 6797\n13273 14962\n4187 13844\n2192 13742\n2900 6135\n2874 3366\n5579 13571\n3756 15092\n429 8521\n1103 6079\n7516 7604\n8122 9687\n5718 12841\n8824 10721\n8230 9157\n7211 8231\n6494 10180\n986 2157\n6332 14966\n6017 10808\n7583 11458\n173 5657\n1169 4294\n8512 14068\n6478 6650\n10668 13099\n8602 9488\n3740 9485\n7582 14550\n226 5722\n1239 6295\n4651 10562\n6122 6663\n3647 14091\n3080 13281\n771 1353\n4666 7477\n5210 14499\n5130 8567\n1729 11154\n3275 3435\n1066 1840\n415 9251\n2176 13041\n296 2683\n4089 13275\n3947 8645\n7983 14691\n408 3601\n1117 5208\n8590 13955\n5962 11510\n5017 10328\n720 5944\n9389 10092\n3056 13664\n727 14549\n1549 13663\n11003 14848\n4466 11517\n5521 13572\n10649 13140\n3572 15109\n6069 14850\n12764 13877\n728 6333\n4985 13778\n21 1593\n11675 14532\n9440 12708\n10661 12352\n4981 7585\n9508 12310\n888 10957\n7815 13204\n4965 9657\n5610 14429\n13010 14222\n5203 8170\n699 3715\n1587 11184\n5096 8773\n2258 2877\n14584 15054\n64 12675\n1056 11198\n5385 7280\n278 15035\n4917 9327\n8978 12502\n5713 7514\n1808 4206\n369 408\n8571 8945\n8341 10892\n11781 13717\n7368 15194\n5780 14139\n3951 14443\n4393 10431\n9362 12835\n2682 8201\n1106 7238\n5642 10384\n9105 12367\n2697 12082\n6570 9786\n6161 13827\n10923 11715\n1416 13372\n9539 9757\n250 3059\n8583 8947\n11749 12891\n11088 11797\n4924 12662\n7819 14673\n7486 13947\n2904 15080\n4528 14217\n2122 5352\n2004 2749\n6756 9951\n3768 10372\n2923 14190\n6767 10996\n5011 14357\n244 9181\n1734 9208\n2551 11530\n3211 5393\n8500 11124\n2543 7119\n4589 11261\n10105 11857\n6796 8051\n8363 13294\n9064 13193\n9379 9883\n6880 11723\n1903 4302\n1821 4962\n3864 11390\n2157 10078\n2504 15026\n3201 4648\n4799 9130\n6923 15144\n4487 11771\n4108 6568\n13005 14958\n11277 13774\n556 13117\n542 14612\n773 2710\n2790 10871\n4369 6333\n422 7833\n424 6802\n3178 10113\n10846 15132\n2955 6787\n7791 8394\n10373 14750\n4645 8306\n4314 6670\n4004 6936\n1074 9222\n5923 6514\n13952 14981\n5805 7878\n1390 12174\n4388 13095\n4543 8676\n11237 13719\n6559 14340\n64 9993\n2050 7655\n2309 2358\n7361 12643\n4203 4580\n7331 15111\n3104 10107\n3613 5763\n7097 11130\n8546 14306\n3553 12458\n10915 10986\n2000 13679\n1969 11528\n3485 4509\n7567 13989\n5724 14856\n1776 5875\n7578 10879\n4861 5824\n2478 14126\n2236 9015\n3239 8364\n4307 14595\n4937 14105\n7230 12028\n3804 12678\n1661 15233\n3438 11898\n6306 7479\n2399 8533\n6330 11648\n6095 14634\n10934 13415\n14309 15105\n8594 13959\n8796 13909\n8402 8933\n1563 14064\n742 7722\n6835 12340\n8195 13798\n3227 4992\n4832 13555\n1861 10715\n9845 10491\n9065 9194\n3322 6263\n13179 14999\n5712 5808\n5097 11910\n9679 11177\n279 1262\n11275 12619\n333 3912\n4042 10625\n9113 11496\n7122 7617\n5309 8269\n11580 12162\n8693 8952\n10488 13710\n6914 7180\n3780 13090\n11559 12545\n4418 15207\n2115 2491\n3280 3815\n9583 10560\n3469 7026\n496 2089\n9000 10902\n8255 11376\n1358 5762\n3225 10138\n7550 15076\n5093 7449\n8666 12132\n3854 11216\n5127 11616\n7679 14458\n1229 4212\n12862 13571\n1178 11415\n8885 12537\n3114 9213\n11354 13477\n2934 9276\n6563 14088\n6242 13645\n9742 14611\n6772 10257\n2542 3088\n4488 9303\n2582 13918\n2186 9560\n9344 14985\n11610 14046\n171 8027\n1055 9472\n4558 8887\n5088 11649\n2468 9536\n3523 4394\n1831 11591\n2563 9631\n4052 11281\n5107 8620\n812 14526\n2543 4701\n12038 14215\n8915 9962\n4441 9824\n11762 12205\n2550 13293\n334 983\n146 6929\n565 1987\n2240 9023\n9378 10138\n2803 13523\n10980 12614\n12810 14754\n7048 15241\n4250 4861\n880 4414\n82 1512\n246 3298\n6183 8538\n7561 10608\n10736 14747\n7183 10750\n12873 14255\n7588 10894\n1531 2206\n1708 6278\n1459 6356\n4511 10625\n817 10084\n12858 14996\n7068 13703\n3240 3977\n2335 12374\n3258 14075\n5371 8635\n14875 15202\n1435 12914\n660 4410\n2786 9351\n3545 5375\n3342 4573\n8432 9837\n9032 13617\n10724 10870\n6358 9091\n10435 12680\n4700 10946\n929 5969\n1118 10204\n8692 14703\n10122 11062\n9689 12424\n1518 15011\n12073 15265\n479 5681\n12764 14999\n8748 13450\n1657 4459\n7383 10779\n2058 15288\n957 2081\n662 3641\n1640 12499\n4440 8220\n10071 12825\n7792 15285\n5010 13749\n12474 14330\n1022 10770\n172 1187\n7190 11674\n2188 3279\n3532 11999\n149 15182\n6462 13925\n629 10997\n535 14973\n12109 13409\n191 12660\n7811 11445\n4794 5506\n4787 6734\n1509 10469\n7021 9867\n9943 12474\n6101 13588\n3618 13306\n12062 13400\n307 12358\n6485 8895\n910 8045\n3172 4599\n4693 12374\n9848 12934\n2945 11767\n2877 4521\n6141 15206\n4599 11894\n3536 4477\n352 15032\n8409 9266\n4278 13108\n2736 6457\n2727 9104\n2309 11464\n9391 11294\n4068 6942\n5876 6385\n1629 3924\n5320 8311\n10248 14640\n4733 11795\n4817 12280\n4723 5100\n14805 15097\n9416 11493\n1153 12170\n5229 11501\n7624 13179\n2475 8364\n1568 13737\n7381 7500\n7360 11665\n1789 3120\n112 10061\n4640 14844\n4161 10911\n2799 4030\n3476 14489\n12872 13112\n351 8604\n956 3224\n2228 4766\n3905 11076\n2003 13571\n1603 14284\n3773 13794\n261 13083\n4104 4203\n13431 15127\n9894 12369\n13085 14793\n7895 11166\n6683 11717\n5029 6808\n3369 11286\n4459 14809\n5049 6879\n5592 9263\n1055 3775\n2229 14408\n1912 12587\n4583 5984\n5444 8574\n3657 12411\n10338 14970\n9041 14066\n10132 14859\n2261 11074\n4979 12098\n545 7926\n3150 11140\n605 2285\n966 13878\n1315 4534\n8187 13970\n2545 13237\n5621 6247\n5079 6120\n11994 14396\n2171 4956\n7232 14999\n1754 6484\n5210 13095\n3541 5614\n616 12493\n5638 7379\n693 5176\n2830 13754\n5976 13472\n2922 13257\n7416 8360\n12872 15074\n11694 15013\n8548 8549\n1472 5813\n6809 11173\n5538 13953\n4546 11497\n13217 13474\n3853 14470\n6198 10958\n4719 9813\n12769 12881\n2589 12267\n11396 15208\n4528 12150\n4792 7524\n3242 12020\n2901 5584\n13782 13923\n5985 14370\n2628 2757\n3344 10069\n2678 13655\n8274 8810\n4536 7776\n10219 13663\n8391 9054\n9799 12986\n2330 9212\n3220 4746\n8321 12046\n13060 14505\n7598 15134\n11192 13817\n7448 7572\n376 8082\n11619 14171\n2085 13027\n2956 11116\n8958 10471\n5736 6410\n3257 11757\n9755 12573\n468 9173\n9208 14917\n5225 9104\n9054 9211\n1925 5753\n8783 10895\n2420 12148\n1614 13383\n140 5479\n13410 15107\n8168 14393\n9668 11833\n10016 13737\n2934 3012\n1652 12256\n3507 11349\n7210 14495\n11863 12295\n12291 13345\n12013 14423\n553 1666\n11750 12169\n4396 14640\n1696 4977\n8983 9047\n719 12636\n940 3802\n418 11375\n10123 13170\n2387 7529\n2612 2639\n6496 10714\n2519 5702\n2643 3565\n8586 13842\n5598 6100\n1493 2731\n9643 12530\n11510 14001\n3472 4192\n3767 7985\n9567 9912\n12052 14895\n2908 7069\n12652 13061\n10263 11914\n2858 14670\n7923 11615\n86 6433\n9623 11291\n575 802\n4966 5025\n7510 8573\n520 1815\n3072 3536\n4905 7998\n7921 8021\n7787 9911\n3175 9020\n1746 12197\n2014 12970\n2055 2081\n4939 12251\n271 9849\n4683 10475\n2703 7582\n8143 8259\n6029 13341\n2627 8781\n8834 13116\n5013 10905\n9366 10081\n10931 14946\n1500 12000\n3605 7935\n9853 11677\n1108 5124\n342 1686\n5109 9084\n5042 6774\n173 13468\n10185 15105\n8832 14957\n3053 12561\n4031 13957\n1139 6583\n9486 11387\n724 1952\n4142 7743\n2610 6088\n12951 13864\n2623 4329\n1934 3755\n654 7296\n8278 14525\n568 14940\n11923 13233\n8416 12173\n8783 13851\n10105 14145\n10656 11725\n7703 15273\n7724 8160\n12251 15058\n5640 13162\n568 13721\n1458 6184\n4074 15243\n4438 12218\n3509 10458\n9320 9456\n10623 13432\n2413 13152\n378 8416\n17 8380\n147 14559\n6878 10434\n154 11429\n1425 6128\n5124 9563\n617 10730\n5660 6676\n4692 10832\n1699 4343\n6144 12770\n6860 12578\n348 3361\n11693 14673\n8118 10894\n10395 13611\n9140 14438\n543 4949\n777 13686\n5469 9867\n1682 15092\n11410 14895\n13312 14833\n5836 14586\n13682 15111\n1783 7573\n4230 12289\n1515 5783\n5750 6621\n10174 10340\n15 9025\n5982 9575\n3976 12763\n10541 10772\n7872 11191\n8285 12183\n2668 11738\n4381 13079\n12234 14413\n384 14242\n7613 14772\n6166 6223\n6367 10289\n8740 15151\n10387 14997\n2111 10347\n851 11142\n5801 11674\n4672 6418\n3513 6895\n4596 12774\n2974 6600\n3529 6454\n3152 3491\n10633 11024\n6231 11182\n1192 5050\n3977 9531\n519 6720\n4219 12623\n9348 10875\n5962 6713\n12417 13872\n5080 10359\n14471 14607\n796 10564\n3746 14898\n7070 14152\n8549 12400\n1843 13542\n605 8991\n1546 8297\n304 3241\n286 13642\n3164 9572\n7971 12521\n1123 10229\n6779 10702\n1594 14605\n11729 11868\n6263 6543\n3113 5468\n7518 12773\n7167 9677\n12655 14511\n2070 7099\n2700 8000\n157 473\n6152 6246\n270 5419\n359 14064\n3686 5003\n983 3413\n2829 10123\n1873 13708\n4495 8368\n5855 7493\n2982 6767\n1191 8901\n606 9122\n1519 5246\n7177 10358\n8928 9296\n8928 13994\n7469 11315\n3663 7795\n7430 13230\n4329 6594\n9663 14306\n9866 14507\n4214 11267\n13490 14768\n2860 9019\n3612 4615\n371 5119\n988 4382\n5277 8399\n3646 4767\n1099 8486\n1739 13406\n1296 8973\n6942 13430\n611 9053\n8157 9549\n3329 3356\n3371 6268\n6080 9440\n238 510\n6491 9869\n10460 13269\n82 7866\n10781 11608\n1919 14441\n13337 13783\n2774 8906\n51 5821\n10500 11269\n4911 7535\n2813 6606\n9409 10387\n4541 9538\n1758 10788\n6372 10998\n7645 10515\n5151 8504\n5106 13049\n10291 11325\n109 12088\n6841 12186\n7908 11909\n1806 14906\n341 3678\n13826 15039\n8387 10429\n5231 11799\n7357 14765\n5063 12199\n3569 12050\n6679 13886\n3625 14142\n5439 8991\n11472 12553\n5294 6169\n2766 13851\n3619 6550\n6218 10216\n6047 12896\n11438 15281\n3270 4371\n13278 14327\n493 12105\n5532 7013\n9497 13166\n4255 13753\n3877 5092\n5414 14874\n9822 15170\n2410 15196\n6892 13484\n3511 3976\n8218 9880\n2068 5964\n610 10353\n2870 12276\n4850 13508\n196 3087\n3422 10489\n1690 8743\n837 13063\n700 4170\n5364 13498\n9388 13024\n5711 15126\n7487 11793\n9821 13179\n2539 8558\n2917 13825\n4315 6498\n9132 13482\n11735 14422\n4937 7244\n1690 2603\n7029 8868\n638 8594\n6425 8483\n6221 14104\n1252 10682\n313 14979\n13276 13443\n863 8553\n4024 6433\n8130 10595\n10630 14300\n11331 13494\n289 14210\n10103 10585\n228 2106\n3226 6165\n159 6116\n3594 4210\n6699 15067\n3273 6075\n12435 13101\n3233 11819\n10843 12613\n5325 7869\n1589 4584\n7508 10445\n3366 10783\n314 8625\n5375 13702\n3697 6939\n2768 5218\n2766 12266\n1617 11833\n8778 13983\n3924 12521\n1024 12449\n9400 14782\n6334 8858\n2930 9024\n3460 8302\n2999 7551\n2695 9199\n7041 8646\n7175 13870\n343 12397\n12772 14549\n2870 9461\n961 9976\n9542 12577\n11781 14737\n2174 2721\n8577 13312\n1067 11415\n5357 11478\n839 12108\n8696 9777\n2153 13579\n10051 12626\n3316 12117\n11549 12813\n3963 12662\n8338 8903\n7399 11085\n5297 13847\n3660 6664\n1807 11065\n13714 14765\n3447 13819\n2562 11929\n1260 8243\n105 816\n10323 12420\n2609 5724\n11292 12940\n3884 4275\n1065 10628\n1122 3505\n10300 13366\n3346 3716\n579 12014\n6129 14838\n5937 7210\n10812 11683\n6720 9391\n5823 10649\n1711 9513\n5547 13717\n11712 14266\n752 14899\n4565 6337\n3357 4935\n6691 10615\n1998 3433\n4030 6173\n3013 5988\n8186 14765\n3200 12933\n2353 6867\n994 7358\n138 5279\n5314 11775\n3527 5261\n1263 1626\n11256 12487\n14125 14457\n4321 8344\n3494 8464\n2037 10383\n826 4584\n11297 14005\n2270 7076\n5844 10821\n90 13525\n4858 14806\n2074 11526\n3598 5389\n10128 12299\n2137 10247\n2031 15107\n11491 13554\n12677 14691\n1675 6281\n5465 6201\n2229 11582\n10756 14820\n2644 7532\n11407 13634\n10670 15063\n3098 13407\n2554 11649\n602 14517\n2400 12908\n4098 8646\n3679 5204\n6312 6726\n1642 5399\n1319 14227\n3323 12266\n3885 4404\n7696 14537\n1602 5383\n1305 7322\n6856 7172\n6546 6949\n4911 11708\n789 3270\n2242 3571\n1891 2625\n3319 12127\n822 2790\n7079 9314\n11611 13494\n1166 13809\n2030 3103\n3023 3800\n4674 10166\n11974 14478\n9692 14884\n1137 7934\n6728 13637\n1233 4370\n3926 10288\n594 6277\n13037 13448\n1319 3335\n13453 14527\n4469 10931\n1855 8821\n8526 13525\n4570 5092\n429 2252\n2040 4701\n226 9153\n2462 14940\n2484 14435\n5384 12222\n4559 14854\n5114 13557\n7103 7381\n11827 15018\n10610 14479\n6819 12031\n4278 8689\n3310 5950\n8792 13293\n224 4794\n3062 4725\n1645 15042\n1062 6165\n757 5396\n10715 12563\n4981 14223\n5358 14345\n11548 13288\n7795 12530\n1551 12526\n403 9817\n11555 12050\n1999 8591\n1124 2228\n2073 6018\n10489 11182\n896 10975\n1503 2091\n2199 4978\n7136 14681\n2804 11472\n6582 14959\n3744 8140\n3705 5315\n3233 13746\n1008 3567\n2269 10630\n1130 1351\n5161 7221\n11439 14748\n3361 13859\n7490 11295\n453 7787\n195 11815\n8077 9129\n4714 12121\n5428 6071\n5279 13558\n6729 10099\n9273 14218\n912 8373\n5738 8029\n1944 15101\n8298 11850\n2027 5798\n6961 9066\n3728 14590\n612 4368\n11930 11976\n4611 12061\n12575 15272\n1486 7964\n4842 4976\n3584 6414\n470 14721\n1447 1601\n9650 10317\n873 13045\n3722 7504\n3316 11838\n8491 9182\n3822 5346\n4046 11569\n258 15066\n3541 9488\n9084 12821\n415 972\n4912 7496\n570 11291\n6217 14173\n8216 11260\n3729 11794\n6330 13636\n3685 13329\n1623 11106\n161 10130\n2883 5656\n2376 12399\n1251 8245\n3997 4291\n130 14360\n490 12256\n3302 13729\n1774 12506\n4842 7929\n7621 12960\n437 7238\n11111 13761\n6147 6266\n3055 5936\n5205 9761\n7810 9124\n1411 9060\n10682 13532\n8256 15120\n2893 3579\n8260 13960\n3926 11243\n11048 12020\n6319 12816\n3223 12078\n12894 14368\n8118 8927\n9694 11135\n6623 10273\n11310 11450\n6865 9985\n10836 12817\n4194 6535\n5585 13865\n1711 9636\n5849 11546\n2482 4993\n3407 7242\n3909 7104\n6445 12608\n3994 11109\n5283 11969\n12206 13629\n6487 11254\n182 12730\n1316 13617\n6393 9469\n10339 13023\n11755 12208\n12534 14775\n8318 11737\n11805 14843\n6942 9064\n3166 12055\n84 12646\n1976 13558\n6349 13606\n8644 12845\n746 7974\n5232 12001\n3314 9508\n28 173\n931 5410\n131 3675\n3133 8720\n119 593\n6001 6117\n570 2683\n318 13167\n8109 14914\n13202 14575\n10335 15190\n12612 15275\n337 11921\n5030 7907\n1486 11881\n6628 8884\n9604 14095\n954 2701\n1813 8014\n2974 2975\n11810 13843\n2839 4847\n9581 12212\n2887 7629\n9398 11739\n12220 13290\n7086 11574\n1658 3074\n4375 5853\n4274 9054\n541 4172\n7477 12267\n5684 12517\n8073 11603\n1544 9232\n9479 9555\n1072 14513\n12027 13924\n3767 8474\n1801 13874\n7459 11210\n8314 8951\n1850 9745\n3346 9537\n1060 13520\n5790 12038\n3349 5731\n9622 11798\n1249 6401\n9807 12563\n1958 4806\n1821 8127\n2743 13547\n6695 9358\n13144 14143\n3411 13604\n6206 6221\n6465 8332\n1142 7155\n9598 14934\n1201 11289\n4523 12342\n10237 12871\n6621 9318\n907 5305\n5217 11040\n926 6920\n13025 15109\n4000 11474\n3960 7720\n7219 11182\n5991 8107\n1161 5501\n3484 11594\n2323 4236\n2370 5911\n8466 13478\n1611 3954\n3749 11448\n10887 14231\n10271 11993\n8119 12229\n2331 9536\n1526 9403\n2098 8823\n7700 13196\n7450 7806\n8570 9788\n6230 8201\n4376 4508\n1401 2108\n2502 11544\n9964 13886\n11003 12001\n3560 10557\n4241 11439\n3395 3706\n11338 14878\n5764 13464\n3420 5736\n2040 3356\n8707 14064\n3499 10666\n1866 10234\n6524 7631\n2502 7711\n13482 14209\n6879 14616\n2172 3860\n29 1484\n7400 11750\n5029 9508\n10020 11030\n4005 12165\n2345 6654\n11396 14970\n9483 10439\n1182 12866\n8669 12576\n11565 13958\n409 7656\n6843 7599\n320 8326\n10331 13399\n3826 14222\n5786 14058\n1434 9187\n7621 10301\n739 2341\n1003 11098\n3239 14885\n457 4384\n1869 5305\n11378 13517\n4876 11029\n2178 14917\n3324 13209\n6375 7234\n1077 7345\n385 8063\n8767 14020\n1416 8709\n785 8855\n224 2130\n6134 9033\n3115 5373\n5932 11666\n1343 3616\n9554 11848\n7730 13630\n4062 6788\n7069 14666\n6136 6232\n1696 9983\n154 5635\n4441 11258\n3906 3976\n5478 11089\n3013 12416\n4207 15198\n5527 9065\n2007 9389\n2143 12175\n3359 12786\n7808 8567\n11341 12089\n6343 13515\n343 9496\n6009 13333\n3126 3289\n7786 13394\n1885 13423\n775 10777\n1444 3098\n5837 7895\n1569 7702\n1863 3118\n8427 14677\n4039 13097\n7243 15159\n2754 13475\n8973 14160\n7484 10098\n11278 13787\n5706 9998\n2035 2990\n8597 13578\n5080 14091\n8631 10623\n13362 13709\n4442 13377\n6001 12916\n4026 11850\n1755 11278\n11992 14413\n5544 12002\n5259 15149\n8075 11832\n3319 8656\n4163 13661\n6045 12705\n12278 13989\n364 1585\n11454 14156\n11909 13018\n58 1849\n1803 10047\n6684 14326\n2680 6451\n2994 8466\n5484 14306\n5752 8260\n5305 6341\n594 11912\n282 5129\n4657 12732\n2080 3808\n5440 14194\n7726 8895\n9583 12676\n5588 13842\n4265 5073\n115 7852\n4831 9667\n4082 8384\n1034 8047\n3076 10032\n11229 13690\n7160 13733\n7911 13339\n11644 14568\n5441 7860\n11593 15022\n8427 13923\n4679 6204\n6269 14893\n3468 3826\n5918 13050\n9090 14177\n2072 6577\n4597 9629\n6584 8507\n4579 6556\n3840 11393\n3735 5721\n9323 14266\n12060 12796\n4906 14695\n12648 12894\n1896 11799\n3102 8786\n6330 14489\n1137 2110\n6775 9634\n2059 6125\n9570 14182\n4778 8701\n4709 10229\n7736 10850\n6482 15213\n595 1186\n369 5767\n9064 15255\n3365 13929\n10425 12304\n3053 11401\n4398 7234\n5380 6386\n8784 11901\n6184 10571\n772 7847\n10473 12152\n8533 13800\n500 7572\n5864 14675\n251 9086\n11919 14030\n6376 14362\n10016 14250\n1916 13847\n3530 4907\n4940 10096\n1200 14480\n10727 14189\n6496 12065\n12530 15123\n1506 13837\n4932 7406\n4842 10583\n8028 11925\n3605 8674\n801 9389\n4786 12997\n3534 7082\n2751 10412\n3933 9427\n4892 13627\n6348 14209\n2218 3567\n3640 6265\n11189 12668\n5619 13377\n6607 10531\n8109 12385\n8095 14904\n7537 14196\n1579 14357\n763 7624\n6675 9958\n7578 7981\n10990 11572\n3529 8743\n14657 14751\n391 8665\n10124 14776\n5947 6699\n3206 7910\n10776 13799\n10234 12023\n12654 15095\n7688 7982\n8330 10493\n1943 10892\n11558 13718\n713 11268\n3890 4336\n2966 5202\n8352 13763\n3565 5131\n8198 8661\n2435 6049\n644 10584\n670 2323\n5980 13794\n3121 11162\n6544 13333\n4453 13565\n3066 9872\n7899 15123\n14510 14911\n9414 10206\n13771 15247\n7675 10276\n11036 12222\n4818 6785\n7851 14749\n3187 6977\n1733 6142\n2023 10578\n5741 13572\n2589 10648\n9162 9761\n4929 11942\n2474 11924\n5419 7556\n1104 7192\n6198 6755\n4661 8557\n5964 13049\n396 12957\n1557 12711\n508 12518\n5298 9239\n2972 10852\n9405 14005\n9794 10340\n4728 6526\n664 11881\n5235 6123\n7706 12443\n2183 2629\n1650 8144\n7567 10471\n4254 6629\n5707 11986\n10756 14832\n2933 5699\n1608 13925\n7045 12446\n9949 10653\n7349 8244\n5810 8547\n7826 10044\n10276 14271\n2350 9473\n308 12756\n12396 14637\n4584 13686\n6547 9973\n10408 14095\n5559 11284\n182 8068\n350 15226\n3502 8601\n523 7569\n8106 14968\n7200 13628\n7760 14512\n8412 9396\n8663 13901\n2681 7122\n5306 12306\n4663 8297\n10766 12830\n4513 12620\n5026 13174\n3248 15033\n1586 4671\n567 5548\n3189 8669\n7154 12256\n1104 6440\n5550 9727\n6011 9494\n2733 12206\n7185 8862\n1310 2989\n7432 10094\n5569 12740\n4581 6085\n413 662\n3357 7812\n8555 15151\n7215 12843\n5083 12361\n4782 9096\n7488 11688\n2164 5798\n3096 3778\n4723 11092\n2867 6380\n12915 13203\n11778 12351\n2262 10924\n513 14524\n1192 12151\n1294 15061\n13354 13456\n6917 7460\n3699 13631\n3578 7289\n4136 10514\n12604 14060\n8785 12129\n12029 13020\n2012 14081\n4425 8216\n9366 13644\n471 10048\n238 7290\n13068 14212\n4962 9484\n5924 12036\n1305 4946\n606 788\n1490 7037\n8527 15237\n283 6455\n1882 12065\n2645 9414\n2202 14936\n11687 13145\n2603 9155\n3175 8634\n3477 6818\n121 13975\n5563 13612\n1102 10247\n6374 7408\n1642 14972\n4001 6592\n5775 9293\n4640 7211\n3983 9361\n2913 8977\n10993 11769\n2892 11732\n902 6158\n2745 14104\n221 1762\n10326 12100\n333 1595\n10448 13541\n4732 9398\n4050 4517\n541 6956\n5888 10487\n9767 10545\n5071 9401\n7996 14740\n1834 14992\n2109 6236\n13415 14072\n8634 14971\n5777 14115\n11744 13175\n8770 13105\n8649 10987\n307 4469\n11045 11725\n10878 11696\n1728 8033\n4858 10536\n9466 10580\n1322 1764\n4429 7403\n2369 10856\n7945 13936\n2903 12103\n4378 12893\n2119 13982\n1221 14568\n4207 14287\n4270 6569\n2126 8256\n448 6130\n6754 7804\n1002 10829\n6671 6912\n1499 6011\n8269 12917\n362 14414\n7507 9441\n1568 12410\n2060 12359\n4473 10029\n2612 7861\n2438 10350\n5364 13870\n9236 12745\n7883 14650\n3929 6091\n909 11214\n2077 2649\n2000 14516\n1929 14783\n389 7195\n9364 10635\n4750 7591\n483 6862\n7460 14975\n2245 5171\n1478 5362\n7459 8408\n404 13397\n2 8606\n7881 14218\n9396 9596\n10818 13294\n7757 11221\n6685 14703\n6244 11473\n6007 8906\n2851 4455\n206 8299\n94 3060\n905 15136\n162 257\n3965 14963\n5204 11805\n596 5613\n3585 7939\n4882 6821\n619 13594\n7477 14897\n1421 5342\n554 6911\n6458 12062\n9499 10994\n1230 14481\n6813 14465\n14292 14880\n2528 7960\n7058 12192\n7874 9737\n9586 14514\n8178 11096\n8937 10730\n13433 14706\n7177 7558\n10029 10929\n531 9787\n7229 11357\n9020 11155\n10553 12838\n3424 11667\n12378 12883\n329 9980\n5671 12656\n5610 6682\n6191 7443\n9443 10043\n3345 11713\n4524 5748\n1989 2339\n1845 9358\n9901 14905\n1377 4172\n3496 11543\n14310 14474\n10609 11765\n3442 14021\n4120 6294\n452 4242\n1023 5972\n9895 14017\n1625 3432\n5138 9202\n4989 6138\n10714 13462\n1908 4191\n6500 10016\n4074 5692\n13222 14151\n5719 14684\n6414 9309\n8621 14216\n4750 10886\n7173 9916\n9109 11950\n1840 5513\n894 6356\n7223 13882\n5657 12195\n2017 10374\n10001 14825\n405 8684\n7960 12063\n1053 5733\n16 8387\n6176 10100\n9004 13935\n4317 10464\n2596 13700\n82 4260\n2077 4903\n9943 14109\n8573 13301\n9172 12854\n2662 3440\n2331 13512\n3883 9405\n4779 9737\n7173 12424\n11285 12733\n196 11710\n2076 2305\n5314 6657\n5683 8053\n7553 12872\n735 11525\n3349 8116\n269 4791\n9777 11102\n1756 13504\n8667 9234\n2381 7079\n3933 13161\n7964 8850\n7000 9558\n486 13404\n1702 14049\n7327 10822\n7080 10673\n1566 8143\n2615 14098\n4289 14292\n1015 4103\n3511 6226\n2660 4545\n11473 12792\n837 8559\n6410 7385\n4157 14639\n3467 7152\n11730 14056\n5804 8174\n10243 13600\n3497 13722\n4420 10682\n5898 13942\n483 1548\n10728 11350\n5948 11418\n2008 12825\n12057 14117\n40 9239\n72 11044\n416 3956\n4458 9387\n5029 7953\n1989 13187\n3289 8874\n506 3012\n6403 14441\n2659 12163\n3649 14514\n7161 9697\n6439 13238\n3517 5588\n10226 14949\n4294 8913\n8169 11810\n5775 10837\n514 1512\n7440 7888\n2876 3345\n50 2191\n5668 12277\n4341 11098\n11874 14554\n7784 12413\n8095 14985\n1085 2060\n9103 13579\n12445 14493\n1910 3960\n820 1756\n1148 1263\n593 5298\n8136 10226\n8101 12480\n7441 14151\n2293 13181\n374 8316\n4009 7263\n4496 11842\n11660 14558\n1499 7077\n9924 10570\n5281 7618\n9364 13631\n489 7315\n7038 14644\n8989 12347\n4205 14870\n4960 10704\n695 6563\n11136 12222\n4394 8078\n7637 9048\n1663 3577\n11047 12581\n4187 13271\n8081 8951\n11262 14110\n1315 2087\n198 12299\n5253 15296\n6689 9822\n2456 6234\n1663 6444\n10370 11916\n4481 14472\n8150 12236\n12531 14544\n6375 12903\n3954 4790\n2243 9344\n7277 10123\n2568 3728\n4436 6277\n1423 3822\n2822 9904\n1255 1538\n401 5115\n3782 13064\n13152 13947\n10248 12140\n1226 14858\n7808 10672\n3364 8757\n7602 8107\n5139 7480\n3949 7153\n3630 8796\n4143 11697\n983 8950\n2457 8447\n3577 7291\n764 8818\n11241 11907\n387 6702\n6456 14154\n5063 12812\n2034 8359\n2710 9860\n7207 11995\n4951 10170\n4431 4607\n13091 14217\n705 12302\n8377 8495\n5975 7824\n2629 11987\n5944 12142\n3648 9868\n6820 14010\n8747 13670\n288 6900\n12045 13711\n11100 12463\n4621 7706\n1536 2948\n9955 12949\n11251 14639\n4278 14687\n1737 10288\n6382 9904\n3860 7515\n11081 13069\n3897 6685\n2056 10687\n6466 14706\n645 7028\n5126 14204\n3189 12175\n681 8464\n5068 9799\n2478 9105\n10554 14074\n686 15111\n837 13839\n820 8117\n8711 15020\n653 6001\n1731 8311\n2701 5228\n6156 8162\n11649 12895\n757 12298\n4658 6113\n13707 14820\n4594 6099\n7714 10996\n2066 7743\n9604 15110\n4833 8288\n8429 8515\n5580 12310\n8326 15268\n7872 13105\n2348 15022\n374 3454\n4273 7488\n2054 8328\n3145 3821\n120 417\n6382 10700\n6094 6569\n178 311\n7794 13137\n6701 9591\n250 7954\n3474 6147\n312 4695\n1271 14800\n9004 11020\n7228 8664\n1753 3116\n1692 8893\n772 8570\n488 12905\n677 827\n2148 6153\n8558 8677\n4233 9603\n5928 8204\n7182 13192\n7842 12780\n4142 11481\n2054 5348\n8292 11414\n1294 3730\n7696 11065\n3619 15088\n1803 2404\n504 6804\n13149 14317\n942 12393\n1717 4055\n9904 12867\n4739 11811\n2462 4270\n8803 8817\n1204 9273\n1417 11375\n8223 12677\n7162 9902\n779 6836\n1567 7928\n3196 4230\n1181 12466\n6247 7135\n7050 12333\n10291 13208\n8774 13033\n133 3970\n151 9137\n10452 13903\n1125 5853\n233 7860\n8986 11779\n6282 14947\n282 11838\n8839 10402\n6458 6560\n3284 6611\n10385 11826\n3411 9475\n10496 11345\n6061 14859\n5588 12024\n9180 12407\n12922 14085\n3626 5590\n8510 8715\n4544 11674\n447 1638\n7317 8802\n4695 6906\n1958 11159\n1559 15170\n3953 12996\n2060 7156\n3482 4500\n4219 10747\n1484 9163\n13381 13867\n2180 4329\n7137 14022\n4803 4878\n5079 10061\n1187 9110\n8723 13509\n7880 8586\n6412 9003\n9114 10214\n3221 6757\n967 14470\n3111 7546\n7727 8974\n1008 4150\n11604 12396\n755 6696\n758 12429\n9876 15202\n5348 5795\n806 5761\n88 7212\n4414 8436\n3301 14524\n3457 6545\n11068 11351\n3924 10740\n5002 9704\n7605 9180\n8808 12775\n146 7541\n11919 13437\n8776 12608\n2085 5370\n1307 2110\n5779 15179\n1282 6092\n3438 8442\n13337 13752\n575 5677\n1452 13109\n192 4195\n3181 13343\n7822 8788\n760 6388\n6812 10889\n4309 10946\n1064 3747\n4077 13818\n6153 6571\n1422 1489\n1438 6259\n11649 12582\n2118 6720\n14532 14776\n2300 3487\n6953 8998\n10269 14267\n3036 4616\n6906 13851\n2608 7352\n7638 12594\n4972 8842\n4355 8998\n3799 5657\n5368 10433\n5732 8709\n5742 6362\n5848 6682\n7948 11150\n3510 7795\n4547 11473\n2282 4343\n7954 11079\n2192 11644\n2246 3471\n7400 12136\n4911 12542\n1436 2484\n9784 13549\n1801 14036\n659 3530\n2369 10476\n616 5082\n7011 7033\n8085 15299\n314 12649\n8055 11647\n1367 3424\n11724 13569\n3047 12498\n3871 11225\n2767 14545\n4742 12531\n5923 8769\n6015 10641\n481 13899\n3479 12892\n3542 12401\n6724 14382\n1623 3928\n4247 14829\n1635 1687\n9544 14532\n4067 7925\n9511 9919\n1888 8985\n13875 14756\n6946 14486\n1757 9441\n9829 14400\n4479 5125\n142 14006\n6770 15262\n2109 8460\n12059 15064\n2487 4396\n2351 3748\n5076 5295\n7834 11481\n3047 4775\n3601 9079\n4639 15107\n1104 3902\n213 12085\n5899 9037\n967 13413\n1436 5400\n12010 14321\n6659 6813\n6825 7813\n381 11157\n2931 14004\n5859 6706\n203 2365\n310 946\n1615 13785\n11917 12225\n7186 15255\n2346 15173\n4374 13074\n2231 12951\n3848 9312\n7873 11162\n769 9999\n8470 10697\n7166 10892\n4317 13825\n13709 13797\n3840 11083\n4350 8290\n408 6294\n964 10904\n7276 9144\n3842 5599\n8721 13025\n3529 13133\n4229 9364\n5910 13954\n5857 9679\n4497 11638\n8242 13251\n1614 9078\n7283 9724\n9047 15281\n4590 6409\n5147 8390\n659 14268\n2997 7892\n682 1341\n7528 14495\n2799 12112\n3019 12940\n7296 9643\n6888 13262\n9778 10866\n5015 14673\n2022 6838\n13366 13952\n13770 14303\n8725 10753\n443 9022\n7258 14438\n3859 7829\n10119 10510\n5167 13914\n5469 15174\n3844 13999\n405 1875\n9861 15248\n5710 7739\n4371 6552\n3019 13258\n1229 9455\n4070 10164\n7906 12396\n998 10453\n11767 15088\n14023 14959\n425 1950\n6549 11910\n6865 9623\n211 6378\n2132 13948\n8533 8945\n8283 13381\n13709 14205\n4594 6273\n12376 13208\n63 366\n2295 13358\n7852 14947\n246 1327\n541 4219\n5080 9256\n3859 12625\n11773 14371\n3172 14381\n5238 11678\n5549 12088\n1071 10888\n7114 13793\n11987 14560\n3659 12672\n4497 5775\n5645 6276\n1117 7379\n7384 8110\n3616 12298\n1779 13074\n3118 8107\n834 3172\n1466 9193\n280 837\n2477 10671\n3337 13788\n2639 13504\n14592 14695\n1051 1428\n1183 3500\n10001 11993\n2692 6525\n8586 15131\n1074 5280\n12836 14575\n3094 11125\n686 5450\n5173 6809\n8354 12711\n2056 2649\n5014 10236\n1778 11538\n1568 6260\n7982 12505\n5275 13620\n5151 11252\n1930 6207\n1184 3144\n1289 13209\n9534 10000\n7301 7969\n7623 8845\n1742 3818\n818 6225\n6211 10711\n7034 9560\n8615 13434\n2002 6745\n2749 14162\n967 9213\n1837 11412\n468 851\n6625 8127\n11439 13884\n9083 10895\n2254 11887\n11642 14646\n460 7804\n2857 5480\n12133 13550\n7194 12611\n1988 12974\n9710 14177\n7047 8947\n10826 14840\n8066 13011\n512 9089\n9879 10664\n4529 10128\n9055 13207\n5157 6649\n1120 13887\n7665 15090\n5651 9809\n7988 11917\n2227 13516\n11702 12428\n6820 13433\n1455 13090\n11533 12006\n4918 6858\n4921 6728\n10681 14975\n4592 12843\n3610 10095\n4026 6114\n1903 14486\n1793 14999\n3190 12890\n3570 6870\n2593 6478\n3002 5536\n14762 15177\n13472 13721\n4642 11120\n9177 12532\n3987 10614\n7502 10259\n6817 15041\n4344 14923\n12135 12693\n1911 12610\n3820 5957\n802 11243\n307 2010\n389 4787\n3117 5369\n876 1969\n1574 3675\n3960 9385\n4800 8134\n3886 9514\n485 6925\n1561 3222\n3128 6046\n12279 14434\n2668 13310\n10156 12893\n2241 13236\n6529 12522\n6699 9118\n458 1485\n2050 4213\n186 14377\n5153 9231\n9 2939\n7245 10879\n7309 7507\n2179 8857\n3190 13897\n5008 13993\n6091 9773\n9889 10765\n4211 4310\n10954 13980\n2517 4158\n5083 14033\n2177 5700\n2284 10638\n978 4087\n4800 5150\n567 8865\n1676 13538\n13843 15087\n2157 4779\n2900 9789\n2365 13324\n4699 6735\n8010 15133\n10209 10473\n9865 13987\n2782 12838\n1831 11556\n1662 9048\n4520 8377\n1498 2367\n1352 9673\n3069 9959\n1044 9320\n10673 15099\n12426 14331\n3699 4481\n1273 3806\n9609 10314\n1002 7329\n2918 10816\n4165 8662\n8162 12119\n7273 13366\n2054 10891\n979 10890\n6652 10845\n1950 12559\n1017 6215\n2086 7755\n7747 11270\n5899 6256\n13476 13527\n1326 14856\n9027 14722\n304 9833\n5556 10292\n144 14157\n7402 8724\n8322 9768\n7951 9995\n11514 13558\n9217 10307\n13346 14288\n8230 14983\n4654 10530\n6254 7992\n4234 7936\n536 14992\n8249 15239\n8277 8968\n10804 12781\n2788 7408\n927 14234\n1315 1637\n923 9124\n1423 3925\n8781 12948\n2588 9807\n2614 15151\n5806 12996\n9916 12570\n1318 13891\n3404 6587\n1893 3876\n3762 11168\n9107 13815\n3736 7954\n7689 8922\n2441 3973\n7715 12795\n14439 14581\n1340 2959\n7042 11701\n2128 5799\n6398 14506\n1911 2315\n232 278\n8451 13484\n9583 15201\n80 2214\n572 11276\n2996 10000\n9049 10513\n610 6571\n2872 5662\n3234 10009\n1438 8141\n10121 12893\n7531 11716\n4205 4390\n12049 12265\n7108 8541\n10328 10886\n4813 11653\n10242 10843\n12629 14839\n7985 11922\n490 13222\n5792 12023\n8546 9981\n177 11654\n6247 8513\n2844 11908\n1004 12528\n13908 14016\n2325 7054\n13417 14235\n6987 12566\n1609 12430\n6725 8995\n1382 8348\n5792 11764\n230 9538\n2502 7316\n626 13856\n8944 13636\n565 8698\n2773 10672\n1865 14139\n11620 14875\n726 2344\n878 13318\n13637 13712\n5868 11386\n139 15289\n10963 11494\n973 14535\n4546 12453\n4246 12705\n6868 11505\n7671 13603\n1248 4044\n1128 2477\n2193 3058\n5882 13716\n9549 9622\n3300 13244\n4753 11251\n4078 13859\n1762 9845\n6997 9160\n9265 11614\n8955 14596\n5209 6462\n11200 13972\n6399 11597\n8218 11218\n1820 6424\n1372 12289\n5889 13375\n858 14755\n4120 13872\n2671 3917\n1071 10881\n2998 12137\n10817 15297\n7638 11445\n5875 8284\n5166 9124\n9346 15125\n5917 10149\n1977 5159\n5569 13523\n5290 14782\n7675 12635\n7615 12061\n299 2353\n2412 11770\n11323 14866\n5538 6071\n7081 14496\n1770 14726\n8237 12544\n3704 10687\n764 5805\n4447 4753\n9870 11547\n4089 9490\n2023 4158\n8562 10336\n2772 11807\n650 7413\n6574 11260\n1463 9304\n8643 12511\n1765 10061\n5492 9841\n7330 10782\n3734 9615\n3959 8930\n680 6752\n740 1575\n462 1173\n6775 10029\n12322 13041\n7087 9155\n6299 7129\n4004 8395\n633 14549\n1117 14330\n3494 9495\n11040 14741\n3191 13808\n5093 15246\n4872 8470\n8 3641\n11919 15271\n4292 8951\n4023 8718\n11181 15237\n9158 13804\n3908 8034\n1447 6458\n3384 4565\n6572 7084\n10172 13482\n4324 13552\n13177 13731\n8630 13548\n1668 2805\n9182 14896\n1239 3116\n8789 9151\n13012 14717\n2813 9932\n617 839\n1730 5539\n1896 7819\n1684 1823\n2363 9979\n9018 10134\n7403 9654\n2793 13378\n1560 11886\n623 13648\n3056 5411\n5496 14721\n11423 11879\n2966 6282\n6071 9556\n3713 10274\n7645 8271\n7766 13440\n11647 12809\n10233 14174\n2172 3037\n7391 13612\n1393 7727\n3722 10316\n3331 9219\n2832 14123\n3428 7367\n8382 13691\n1838 9752\n9142 14865\n7197 13190\n12266 14937\n1066 13196\n12064 14581\n8689 9336\n3374 15211\n2443 11574\n364 750\n3079 12775\n7839 12626\n1847 13657\n7176 9310\n540 13694\n11635 14537\n8004 14868\n2088 13439\n1090 2978\n1445 10789\n9504 13360\n4583 5392\n3380 13344\n12912 14020\n8046 13439\n3726 6406\n845 11065\n1930 6997\n1624 13095\n647 4173\n4250 7141\n3005 10223\n2447 11038\n7961 13499\n4990 14875\n9454 12338\n3197 14888\n14200 14699\n842 5792\n841 10177\n1081 5316\n11676 13013\n1104 15244\n297 6456\n13490 14862\n11133 13378\n3351 12645\n3517 14249\n1138 12031\n2774 5617\n4639 8594\n2952 12771\n1086 14645\n2679 13751\n8363 11246\n7127 14194\n4332 6045\n6822 13117\n7725 9338\n8038 9237\n9333 12526\n3026 5403\n2252 6308\n13865 14039\n1843 15098\n8629 12934\n4072 12992\n4869 14139\n9323 10541\n8155 14311\n12533 12805\n12181 14707\n6259 11907\n4505 15049\n8921 10633\n10328 12332\n1208 5349\n6415 13570\n3738 9153\n812 8728\n781 10348\n5077 6195\n4878 7953\n3829 14960\n7938 9751\n10243 13493\n11241 14522\n11162 13875\n7577 12119\n7410 10374\n7961 11300\n5478 11021\n12211 14756\n5470 8569\n1508 9896\n3478 14768\n10316 11164\n1265 11590\n5124 12043\n2268 2961\n453 11492\n3069 10852\n6543 10554\n1355 2782\n925 9071\n5432 9668\n10509 13697\n292 13001\n261 13901\n3075 9607\n6883 14759\n11785 13659\n8104 10999\n626 13402\n8105 8246\n3930 9836\n2497 4234\n2215 3876\n1236 8219\n4974 13652\n10284 15223\n3315 5016\n5322 9932\n1591 3805\n9341 9364\n110 15089\n4597 11275\n4637 5028\n1815 4394\n177 8639\n3852 8210\n11677 14010\n3692 9774\n765 1528\n12332 14922\n2353 15206\n2081 4683\n7003 12297\n874 5257\n6955 10838\n2460 12229\n3691 14266\n7328 9979\n10319 10327\n1036 1767\n642 11189\n5180 12141\n3263 8881\n89 9079\n1472 11759\n736 5797\n6553 14696\n7081 10480\n7250 13128\n2487 12872\n6129 14680\n8793 13807\n11663 12800\n10057 12990\n3106 13928\n3967 9828\n6572 13347\n12367 14948\n5367 10936\n8251 13044\n4118 6965\n1148 3110\n3984 6192\n2176 9165\n9541 14789\n4981 12474\n4694 9764\n12399 14272\n8902 10361\n2628 6203\n434 10636\n9375 10816\n1989 13262\n10216 11760\n3388 14174\n5592 11656\n909 4551\n3907 4378\n2830 14330\n2736 7712\n6478 9577\n278 15181\n784 3889\n3483 5603\n571 2271\n4267 7941\n435 11955\n28 7378\n12091 13447\n564 13730\n12590 15164\n10321 14948\n11863 13241\n9923 13463\n6431 11088\n5232 6843\n5547 14529\n2135 5639\n4399 11939\n2990 10085\n2797 15175\n773 5158\n871 895\n1363 8147\n218 14682\n2301 12067\n6570 15256\n9745 10717\n6754 14910\n2682 12807\n6878 14678\n5802 9191\n5564 10982\n11031 13844\n8730 11610\n1493 9712\n7446 9664\n8173 11754\n1845 4673\n1029 15135\n2251 4148\n8900 11278\n11073 11715\n8403 10431\n10881 12919\n415 14392\n1542 6210\n7097 7238\n12664 13114\n1295 6838\n5261 9348\n5403 9330\n10877 13957\n4116 9869\n3842 8747\n7887 14117\n2620 15115\n516 12708\n8401 9804\n181 1841\n1102 14178\n5998 7171\n2276 3725\n307 7590\n8490 10733\n1098 2959\n3548 9069\n537 9345\n10784 12095\n811 2819\n1156 5882\n5963 10121\n213 5652\n188 11556\n1061 6021\n3850 6293\n4239 13134\n1703 2361\n1203 8516\n5509 6861\n1495 5585\n2833 14093\n3405 6995\n4023 9118\n4746 7507\n1072 12588\n2742 3546\n4977 12196\n2895 13230\n4551 5005\n10153 14757\n12379 13332\n2430 8528\n5483 12319\n1514 4666\n2318 5782\n5932 11942\n6855 6980\n2061 10400\n3641 6926\n6452 8350\n6696 7807\n988 11550\n8573 14616\n10794 11618\n7388 12264\n5088 5754\n1992 11030\n8832 12948\n1612 4303\n9325 14291\n1759 12402\n131 6578\n9752 11470\n3134 12111\n2257 4881\n11284 11359\n9466 9608\n2461 4597\n1870 3167\n5606 12852\n972 12249\n8175 9904\n5686 13643\n10006 14129\n7005 14238\n7323 8740\n5925 11704\n8973 10751\n27 4917\n11598 12189\n493 6992\n2640 12365\n3786 4860\n713 3014\n1541 10261\n8733 12064\n14528 15135\n4152 8579\n6826 8672\n2096 5065\n3517 12221\n4995 8599\n4595 11884\n664 12382\n912 6324\n9020 14891\n7998 9493\n10536 12358\n8096 8737\n10427 13176\n4103 15082\n6848 7959\n5287 6335\n5393 10736\n11828 14334\n5291 9843\n13936 13980\n1470 8165\n8432 8573\n2585 4735\n6988 12287\n4237 14573\n2657 9643\n2916 12073\n1392 10731\n4914 12536\n327 8876\n737 9998\n8976 9183\n1238 8473\n4327 10552\n833 9375\n14733 15210\n3987 6225\n1326 14758\n6529 8806\n5478 7477\n6192 10669\n5035 13486\n6025 9579\n7992 10870\n3512 12585\n3036 7133\n11441 12926\n7462 14532\n6101 8843\n9205 11205\n12983 13311\n2125 10755\n2876 3175\n8762 9295\n1702 14270\n46 2311\n7116 14969\n10342 14952\n7742 12830\n9974 13163\n7632 10419\n8467 14635\n11017 14252\n6446 12392\n4408 13142\n5759 13551\n3552 8210\n5479 7496\n3187 13385\n14561 15117\n3266 13310\n9606 11282\n3992 4611\n4746 10932\n5700 6498\n12886 14448\n6421 7327\n2949 12790\n2685 6103\n2189 6567\n9338 11996\n9345 12576\n572 8348\n6693 11247\n2061 13974\n5403 13663\n3616 12229\n3066 5827\n1786 2075\n8905 11972\n5788 10986\n2620 13805\n4557 13197\n7410 8741\n1654 2062\n9242 13169\n9309 13512\n5001 13728\n6614 11378\n3440 9472\n3442 14458\n4899 10486\n9001 12805\n2939 10539\n6067 10937\n11834 15019\n9197 10348\n4857 14531\n3712 8924\n6109 14360\n4245 8163\n9969 12530\n1531 12865\n4657 7458\n3686 14284\n7259 14930\n4573 8103\n1578 15167\n12675 13968\n2463 8582\n6756 12198\n6838 13998\n136 305\n3536 6806\n104 8271\n1291 1336\n8679 9692\n12281 12463\n428 6992\n5561 12022\n2947 7225\n1658 5166\n5395 11950\n5555 6455\n3389 14882\n6503 8074\n8447 9251\n4834 13973\n2531 9216\n5559 8876\n3445 10590\n2858 3678\n1037 11448\n11624 11691\n2252 8717\n2284 10278\n5146 6059\n3643 6013\n5295 6311\n7511 10271\n4828 11860\n8279 11185\n3956 11969\n3756 10331\n10391 10526\n4895 10624\n13609 15174\n13821 14551\n1451 12071\n155 11729\n341 1319\n1078 15085\n4047 8438\n1535 3621\n13291 14765\n261 1079\n8153 14122\n2851 3270\n845 847\n421 1952\n12550 14599\n10491 14474\n5514 9148\n1987 13431\n3376 5031\n218 6773\n3753 14471\n4169 14398\n1052 4249\n5806 13119\n574 9758\n735 10687\n164 4284\n2053 9193\n5252 9555\n4429 9455\n8655 13637\n1051 2620\n11874 13432\n10704 11076\n3256 5560\n3329 12097\n4329 11583\n7063 10229\n6131 12874\n8854 13877\n4109 6989\n765 13844\n181 13513\n6104 14668\n1342 5187\n9033 13125\n6409 13635\n2460 11789\n4255 15253\n1834 14480\n9639 14911\n1529 12878\n2656 11278\n6097 11007\n1183 3903\n9629 12499\n1258 8577\n3242 12473\n4642 12285\n755 7914\n9823 12363\n6890 13143\n106 10424\n3119 3730\n7864 14747\n9473 10219\n1492 9062\n165 12723\n1874 7195\n6600 10990\n156 2895\n7063 9229\n2967 6194\n791 15037\n4581 7832\n4291 7794\n5538 14849\n8287 9397\n3368 12251\n7389 7684\n6614 8719\n13355 14526\n5377 10978\n672 11581\n2272 9420\n1201 14693\n2385 7272\n7417 11967\n493 10492\n1523 7844\n307 14855\n2539 2605\n628 3653\n11775 14279\n11308 12249\n358 10414\n10840 14719\n4658 14167\n3226 5659\n7498 11996\n7779 9877\n3428 14248\n3662 6560\n2277 9746\n7102 7898\n9959 15287\n7182 8719\n6704 9764\n2550 12375\n9114 10838\n960 11955\n9754 11879\n3762 9228\n2094 4848\n4139 13594\n1307 12118\n5005 11542\n6482 12581\n1075 3388\n4789 10837\n9467 13140\n630 912\n10142 14709\n11824 12842\n11655 14362\n5446 10870\n4493 15055\n1660 2290\n1327 4070\n5302 13549\n4000 10044\n1092 2925\n510 14978\n947 14800\n13206 13790\n874 6057\n2176 15268\n3611 11796\n638 9014\n10798 12312\n1030 10570\n3985 10719\n111 4836\n618 6650\n7996 8231\n2876 8155\n5686 9122\n1150 5710\n6776 11899\n3567 3958\n11042 12186\n1196 12544\n2797 15250\n10692 13745\n3081 12686\n9866 10349\n874 1966\n3892 5012\n4126 10077\n12632 13149\n3533 5151\n1696 3729\n5046 12085\n7133 8850\n10170 13056\n7844 15027\n5998 14287\n1907 4049\n7642 12504\n793 10799\n11362 13547\n2350 5904\n1368 7038\n1751 8851\n6030 14376\n9323 11155\n1997 7202\n2148 10184\n3852 5887\n11750 15241\n10436 13727\n3980 8638\n197 13554\n13638 14182\n3561 4741\n10942 12933\n6717 13501\n5132 5691\n2942 14370\n450 6609\n591 5891\n3969 12460\n8391 12860\n1835 3590\n5023 7826\n5241 10864\n5330 10654\n10959 14853\n9835 12376\n10307 13649\n1575 6883\n11395 13738\n5977 11404\n11242 15024\n480 7792\n988 11117\n3179 3209\n4408 13815\n4939 10907\n231 1910\n5709 11167\n1825 13476\n9907 14318\n2242 8140\n609 7352\n7113 9448\n4833 5418\n4866 10029\n7845 14114\n4306 14175\n71 13106\n7056 14811\n4255 15279\n4327 9468\n1082 5836\n4934 7171\n6747 10008\n2875 9046\n2210 13312\n5198 12996\n5965 10260\n4483 9443\n10054 11467\n134 2849\n6228 13629\n5351 15053\n9150 14937\n1107 13380\n951 11277\n1770 11790\n2117 10006\n1937 14099\n2300 10569\n1600 2655\n978 13561\n8394 8907\n9026 12840\n9732 10961\n8027 12373\n10382 12101\n8918 9433\n4925 7718\n11359 11442\n5380 7073\n3622 4759\n259 10672\n8342 12586\n7647 14585\n1780 2569\n5307 5951\n6505 11373\n11914 11953\n953 6459\n8617 9962\n5519 14694\n4627 14705\n12678 12748\n8265 12048\n2816 12574\n813 9052\n1751 7698\n4650 5812\n3166 12718\n4900 11169\n182 11027\n6456 8793\n3908 7077\n7976 11000\n1789 8010\n1349 5056\n546 3697\n4994 13060\n2292 11242\n1727 3847\n2910 5218\n3792 14580\n743 5859\n6914 8894\n7245 13562\n73 1609\n12421 14060\n6478 9834\n387 5944\n1168 11426\n1962 7987\n8588 12796\n9264 13752\n1492 11932\n4553 6797\n13008 13382\n7213 12077\n3996 4177\n1606 11664\n8614 14544\n1382 4943\n2678 10330\n4390 13647\n960 7616\n4017 4147\n8073 9386\n3973 9298\n2382 10743\n7102 11845\n8280 12652\n6684 12155\n4323 11687\n8020 15185\n6535 9104\n11943 14037\n4396 15023\n7907 8246\n2460 12864\n3943 11735\n3510 11538\n1907 14030\n3231 11485\n2985 10673\n2329 8201\n1509 8356\n65 5641\n6103 7597\n5542 14037\n6748 15192\n12409 15001\n9170 15072\n3317 8533\n3252 13402\n2074 11091\n11063 14227\n2474 12333\n9258 12463\n12460 13373\n2436 14343\n11617 11833\n6121 8180\n1013 11981\n230 13293\n2190 14506\n11052 13897\n996 11564\n10063 13581\n650 9151\n3278 9063\n8394 12840\n8082 9028\n689 9221\n1636 13213\n2069 9521\n4389 6600\n7607 15137\n5812 6647\n8753 13345\n7368 11106\n10073 12825\n7270 12363\n11902 12686\n7324 15041\n3569 15237\n1681 4244\n556 3481\n2336 8565\n3850 4189\n3959 4246\n4960 7262\n2767 6940\n4032 12734\n5400 7075\n187 2016\n3909 9036\n1851 11301\n6451 14709\n3468 13012\n3408 15248\n50 9546\n10582 13525\n9728 10664\n8766 10282\n8353 8883\n3627 9434\n6362 7710\n8633 10653\n7166 7660\n4344 7664\n9661 14840\n1743 1986\n8480 10490\n3850 13693\n5304 6636\n4789 7986\n6128 11813\n5760 8370\n245 12192\n2937 3400\n7464 12598\n2350 13930\n6796 7411\n3155 13030\n227 3856\n685 13978\n228 3096\n644 10109\n374 11832\n8020 12574\n6529 7747\n1853 5643\n5076 10574\n9157 9753\n6821 10178\n10008 12665\n297 2550\n10829 12324\n5116 13952\n1713 5844\n7787 13022\n990 2655\n4865 6942\n3238 3642\n1969 14555\n3452 11329\n5474 11353\n3240 11755\n4010 4850\n6108 6916\n7890 12260\n3194 11173\n3746 10803\n11994 12920\n633 14603\n12269 13440\n1401 3273\n10463 13153\n9122 12444\n14009 14432\n5860 11463\n9643 11321\n9583 12022\n12033 13370\n3487 5159\n4429 12756\n3079 4278\n4706 9146\n10799 11109\n1496 14171\n1006 1875\n251 1907\n6469 6716\n12596 14718\n5883 7395\n5920 12150\n10017 13273\n9726 11887\n6528 7743\n657 3272\n5110 10027\n3087 8973\n5453 9953\n882 5782\n2602 3187\n4534 11353\n1853 9224\n2148 13701\n32 12363\n7163 11774\n10723 14539\n7368 12276\n13587 14920\n2591 4382\n2791 6743\n4386 14776\n4108 11636\n1034 1141\n9987 14458\n787 14229\n2274 13493\n1631 4794\n7171 10061\n4385 11643\n8274 10798\n8255 10542\n7218 14236\n3275 13078\n9448 11970\n6100 7676\n631 2892\n117 14672\n7081 11956\n4719 5844\n4218 13558\n1547 9962\n8839 13800\n6629 11488\n2324 8718\n12288 14481\n2174 5424\n5255 7480\n9254 13099\n3657 9536\n1734 14887\n3262 13008\n12146 12431\n8667 14773\n9407 10192\n7982 8864\n3232 5023\n2551 3062\n10154 12641\n10584 13530\n6447 14604\n5101 11934\n3555 8542\n416 13991\n85 1514\n5093 11119\n1283 7394\n3756 11417\n9056 14229\n2250 10832\n13871 15120\n9019 13646\n9158 14653\n2720 7110\n437 2333\n3140 11385\n560 1159\n1211 7308\n748 3951\n5391 13530\n3530 6680\n3341 3810\n6592 11511\n4152 14181\n14159 14723\n4869 10236\n12229 14413\n91 2466\n5021 12817\n13302 15211\n2309 11267\n657 12667\n943 9053\n6669 11491\n2240 11746\n5123 9125\n2898 10374\n4400 15097\n5077 13708\n5609 6362\n27 8948\n2980 10697\n593 8581\n1346 5234\n12175 14083\n1457 10666\n187 4894\n2358 8263\n8387 9763\n3189 4284\n7346 13843\n12337 13039\n12646 13365\n5904 7037\n7667 12603\n11600 13411\n4308 4392\n5574 8374\n3174 9716\n7716 14830\n2862 12185\n132 12548\n1498 8430\n5932 11895\n3151 5975\n3201 3995\n46 2284\n948 12652\n13832 15180\n245 4400\n2899 12941\n5504 7924\n3593 6666\n3138 11154\n260 13112\n5647 9869\n8112 9555\n115 3310\n5499 6979\n754 7957\n416 10361\n4466 5997\n8866 9601\n4817 9675\n6897 12677\n2983 15207\n733 5067\n2663 4496\n3493 8534\n11756 13623\n5969 6458\n2325 3385\n1575 9928\n6192 9157\n2395 12318\n9724 10230\n11417 14553\n1840 9422\n5957 14869\n6573 13319\n10625 12376\n4348 10327\n11092 11819\n2679 5223\n740 5988\n9012 14871\n3569 12823\n5736 11053\n5622 14941\n1403 14626\n2974 11328\n4954 14325\n9583 13929\n4115 14484\n10876 13594\n4680 13315\n3671 10144\n3997 8209\n681 11907\n7877 12493\n10494 12850\n3232 5515\n12310 12886\n9359 10705\n6834 8151\n7178 13275\n2105 7207\n7998 9223\n2991 6896\n144 3406\n3444 4502\n4120 4726\n3103 10937\n1133 13997\n1611 9902\n4231 12066\n9703 12717\n3669 4729\n3505 8803\n3353 10640\n834 10844\n3191 14016\n3682 8465\n5059 5890\n1220 5597\n5860 14404\n11120 14281\n4950 8028\n4026 12120\n8651 9057\n10490 14518\n4653 9696\n3401 9694\n5010 9318\n7540 9761\n1882 9127\n10516 13486\n7820 8410\n5102 14343\n5727 14673\n6192 6892\n1465 2908\n5110 14829\n13749 14611\n8669 12025\n1403 8483\n2368 3362\n1234 2036\n991 2576\n3717 4713\n4415 11050\n1423 7440\n12016 13341\n12163 14666\n8282 13921\n9007 9647\n1605 5335\n704 7475\n920 6838\n6435 13343\n4920 6950\n8414 13120\n2220 9932\n1961 10619\n7058 12754\n7870 10876\n1925 6643\n6077 11840\n700 9110\n4842 12708\n57 758\n4650 8289\n7552 8675\n2147 6425\n11348 13313\n645 1864\n341 730\n8842 8998\n7614 14952\n9614 14677\n1293 3034\n7041 8598\n7538 10152\n5454 11601\n3218 12289\n8049 14344\n3351 12790\n708 7349\n2583 13069\n11046 13333\n9655 11870\n4902 13006\n225 770\n5179 14078\n3267 13038\n10088 12679\n1960 10618\n10936 13832\n1222 13034\n1161 13128\n2286 3865\n5683 9400\n2157 5522\n496 11704\n938 11267\n10081 12934\n9733 14247\n3455 11704\n8297 14866\n3495 8075\n11829 12978\n1529 6716\n5469 7239\n1959 5030\n12106 13212\n5666 7704\n6609 8130\n4377 13892\n5216 13593\n4705 12959\n1408 5737\n10821 14823\n2367 2983\n2706 9344\n3161 5349\n6125 8780\n4928 9076\n551 945\n1405 10368\n5642 7290\n6457 13934\n4328 13276\n8273 11496\n239 9151\n6946 9653\n6603 8867\n3157 7171\n2971 12536\n2126 13965\n8382 11064\n9465 13926\n5068 15146\n5778 11730\n934 10555\n857 7149\n4116 12325\n5271 13603\n3288 13561\n5640 12428\n6729 8571\n9703 11052\n7378 8046\n2357 11485\n545 1734\n3453 9068\n6096 9785\n9673 14665\n8193 11419\n4765 13891\n4993 8870\n12774 15129\n6457 14786\n3629 15281\n4788 12855\n4140 6957\n7111 10126\n7353 11972\n4741 10983\n10322 14280\n6027 7431\n2129 4208\n13560 13835\n2106 11524\n7972 11675\n1568 4960\n2130 14731\n129 7992\n1605 7768\n14097 15288\n9898 10459\n3069 5443\n7051 12146\n1386 5719\n1683 3906\n7820 14197\n748 12204\n5509 14748\n2359 6731\n2678 2920\n2042 14971\n900 12102\n3234 6623\n12405 13830\n255 1464\n2663 7141\n1050 1402\n1334 5900\n14487 15165\n4786 11288\n733 12996\n2397 15170\n10121 12007\n3658 4188\n12272 12395\n4994 12258\n537 2666\n1022 7303\n632 2268\n4497 14927\n11416 12069\n6694 11853\n5090 7598\n1557 10129\n560 2800\n6461 11745\n431 1139\n884 5657\n3131 14037\n2392 5830\n3192 14893\n8708 13911\n10464 11981\n6434 9691\n8484 8794\n3533 6305\n725 6949\n9308 12805\n2308 7868\n3152 9238\n52 3703\n4277 13792\n5457 5861\n628 652\n2676 11701\n3755 13668\n78 964\n64 9902\n2119 9478\n4720 12970\n1137 5804\n4357 9003\n4151 11135\n13208 13875\n7571 10571\n5713 6574\n3273 6362\n4022 5452\n6738 11727\n3188 7841\n6350 10825\n2141 12846\n10614 14786\n10430 13114\n8274 11825\n4569 13330\n524 1376\n10519 13421\n677 3208\n13543 14242\n6242 14900\n9182 9456\n1666 9746\n3526 11578\n9396 10395\n9555 13293\n2544 13836\n1106 4680\n3883 10543\n6927 7196\n12881 13064\n10729 11175\n1697 5764\n3168 13431\n10523 14827\n9762 10306\n2276 14839\n5329 13284\n1858 12459\n6803 8597\n6110 7701\n8149 9912\n2715 9543\n623 13290\n11757 12672\n7058 13249\n8747 11381\n2392 14129\n721 10800\n766 13677\n9551 11459\n5135 12130\n14564 14805\n8750 10507\n550 7285\n2669 11001\n13646 13946\n3556 15138\n592 5137\n3102 13549\n2722 10948\n2657 9051\n8001 13117\n357 1009\n466 7945\n8237 14870\n1905 3324\n7002 11077\n8986 11289\n2246 7028\n506 3972\n5974 7319\n3840 7956\n8765 11353\n2538 8877\n4664 12886\n2209 7978\n1775 12046\n9649 12793\n6749 15288\n5658 14174\n2990 14892\n8808 11331\n10425 13196\n1542 3164\n5033 9753\n3209 9922\n3525 8738\n450 2133\n6687 12522\n10279 15282\n3971 6071\n2143 12811\n5922 12312\n11044 13799\n3046 10525\n248 15254\n2221 9972\n10072 10782\n14303 14482\n9925 10567\n156 5454\n7871 9392\n5473 6833\n2457 9450\n7523 7789\n4330 10248\n5871 8709\n9181 13389\n4686 15304\n3066 10837\n3387 14799\n3166 7482\n3412 11496\n3799 7932\n4924 5391\n8921 10299\n234 13508\n5024 10910\n7556 13374\n7839 10090\n4392 11711\n6606 8543\n164 12002\n3027 7335\n12716 13010\n1784 7564\n8800 15267\n2829 7362\n1994 3389\n14654 15232\n7555 10738\n6182 6404\n8292 11331\n7093 7649\n2435 13943\n2666 5714\n10346 12430\n663 3086\n13420 14415\n10223 15120\n9408 12531\n3211 5065\n7173 10224\n7472 14598\n3312 12845\n1504 3395\n1784 5660\n549 4006\n3282 5964\n5612 12601\n1714 11910\n12935 14586\n3778 9717\n3386 5074\n2497 9716\n6831 13612\n4514 6383\n8488 13393\n1073 9719\n6742 14473\n1055 4822\n11527 13080\n372 7194\n6781 9787\n3886 13787\n5649 15179\n2269 6894\n1798 3088\n5309 6413\n6270 12524\n4465 5850\n3670 10274\n1399 2494\n574 3430\n7028 12212\n10646 11771\n6965 13871\n6164 12745\n478 10171\n7532 8323\n6236 10915\n4732 8128\n13328 14295\n5557 8130\n13290 14874\n487 8308\n3716 6572\n1812 3997\n1798 10013\n4927 9425\n7288 7491\n8893 9610\n5044 13512\n762 6068\n4382 11637\n4156 12474\n614 10467\n10232 10740\n2198 12781\n9203 15203\n2993 12411\n5471 10746\n3920 14531\n2322 6453\n10179 14683\n3971 5154\n2399 6694\n1769 12818\n5987 9156\n11956 13628\n6169 6571\n5055 13020\n6035 8209\n2666 8106\n4970 14917\n245 5238\n5152 7652\n6192 7846\n12133 13073\n5451 13868\n753 13748\n2485 6283\n2200 8856\n10153 15306\n9067 14727\n2536 5418\n3396 13271\n1444 14084\n3985 5745\n11193 12836\n2092 6214\n458 13453\n12609 14806\n11546 13637\n1019 3906\n3928 4282\n7441 15234\n542 5858\n1417 10698\n1355 11415\n5912 14862\n595 7991\n5269 10845\n6919 14023\n4019 7776\n5353 12845\n1212 4643\n13458 14230\n7146 8089\n595 8945\n4099 13750\n4822 13611\n1871 14598\n8050 11305\n13315 13765\n1368 5782\n7618 10463\n2416 13365\n5218 13377\n9980 14560\n7289 14161\n2695 8872\n5232 5618\n6134 7421\n731 12611\n5507 6782\n667 5906\n1852 6042\n3964 10642\n1531 9417\n1156 14234\n4681 11962\n4780 13856\n6818 7051\n685 3291\n2835 8489\n1014 13741\n3007 8080\n8669 13370\n450 5182\n574 8119\n2575 10497\n10863 12219\n7770 11953\n14142 14856\n3540 5672\n7192 10472\n13832 13932\n11177 14171\n7292 11623\n6415 14397\n6938 14475\n6007 11145\n1976 10154\n7542 12217\n10320 15100\n606 13490\n2446 5142\n3219 14431\n3951 10734\n12926 14473\n8354 13160\n1717 6868\n13123 14694\n12757 12862\n1928 10251\n302 9680\n10494 12184\n1568 9353\n9188 10142\n5465 10939\n7228 13779\n5928 9744\n7045 7447\n6868 14776\n10374 15014\n1861 8523\n6213 8061\n4944 12986\n7167 7915\n4574 11571\n11574 11850\n1098 5051\n2620 12031\n572 4277\n2282 8963\n3062 3714\n7223 12503\n774 11519\n7311 9579\n6296 11807\n1486 13038\n13977 15043\n9767 13957\n13180 13949\n2852 5596\n9660 12349\n9729 14982\n2282 9385\n6372 13527\n4571 10002\n1626 10707\n7316 13698\n2200 14626\n5663 14955\n1741 6875\n701 14882\n13818 14318\n5421 6706\n2325 6609\n3318 13594\n8534 12100\n3216 6936\n10545 14649\n751 7369\n6112 12540\n397 13008\n1715 12357\n2632 3625\n8067 13723\n9760 12666\n7035 8303\n2528 3398\n3068 4705\n626 10298\n2422 8077\n7175 9442\n3543 5966\n5161 13686\n3304 14942\n3064 12939\n3134 8858\n2775 14432\n1632 3380\n1287 12099\n6766 9626\n2861 2943\n353 11631\n39 9199\n3862 10901\n370 10763\n4776 8216\n10538 11920\n2180 4967\n5911 13865\n2755 14908\n1373 6321\n722 7681\n5162 13536\n1414 14057\n10172 14815\n3725 4910\n3693 5343\n759 11843\n4411 14086\n14420 15021\n6284 13466\n6788 10270\n3522 4828\n3480 9994\n12588 12874\n8924 14315\n961 8623\n13306 13502\n7150 10279\n718 6463\n7806 9095\n255 9747\n278 4083\n926 15213\n6355 10538\n367 3551\n9649 14943\n7590 8036\n6108 8790\n3686 11235\n10474 14894\n5672 8249\n242 1922\n10426 14500\n6638 9712\n10118 12827\n10543 12178\n6879 8179\n84 7255\n3165 11381\n20 13184\n1306 3277\n2181 3732\n6654 13508\n8602 9639\n1322 6967\n8126 10800\n194 4169\n6743 12772\n2567 11083\n5715 9975\n8431 12927\n1593 10302\n500 10850\n3255 7467\n896 13676\n9899 10166\n4394 11732\n1335 6351\n2052 7018\n1486 7713\n6160 7982\n9924 10874\n11402 14285\n6840 14514\n4081 13403\n3550 11044\n1343 13819\n1133 8312\n8155 8842\n5927 7455\n1915 10390\n5349 11131\n8355 10261\n1993 7916\n89 378\n2152 12363\n3845 11769\n8391 11977\n3057 8220\n1603 6842\n4095 13929\n3569 13821\n5019 6812\n5244 8431\n569 6983\n2029 8988\n2154 2918\n3303 7978\n3949 11394\n2676 5929\n627 1940\n15135 15241\n9005 11488\n3381 7734\n2871 9778\n5890 13307\n6916 7350\n9216 11256\n6076 12954\n3867 14799\n6221 6555\n4784 5642\n12666 14063\n2080 9886\n4317 7077\n49 12231\n10543 13126\n7285 14086\n3506 4779\n5537 5958\n5151 14816\n9129 13952\n838 7096\n2938 15100\n1291 6260\n5631 10876\n1922 6114\n2179 14073\n306 8773\n11046 13773\n8529 9998\n371 8204\n13663 15175\n9555 14776\n190 12074\n5361 9317\n1564 10859\n10441 11604\n6447 8460\n6707 13864\n6156 10940\n2700 3912\n1960 13991\n6589 15073\n5223 11028\n3673 14584\n2152 2332\n565 5465\n2815 5498\n5519 11080\n2629 8275\n10365 14318\n4228 10592\n5962 8488\n2184 3939\n1446 11645\n2340 12273\n918 6911\n2806 7587\n59 13792\n1636 12344\n3873 8824\n6024 13719\n7659 11270\n2018 3331\n9369 12112\n10025 14633\n2565 14756\n1643 3018\n2150 5700\n5574 6773\n1464 2882\n5495 9261\n3187 12533\n9953 12167\n6839 13246\n2751 3312\n3473 4399\n3272 7675\n140 10560\n10140 14417\n10833 12894\n7578 10748\n889 7566\n7484 10394\n7402 10371\n543 6407\n9207 9268\n4711 11772\n6828 9140\n9384 9676\n2243 9988\n2637 5678\n8367 14391\n2386 14652\n5020 7470\n2263 4795\n7506 10510\n4978 14328\n9034 9744\n5598 6390\n395 11734\n4119 8764\n1554 10804\n4417 15044\n3492 6852\n1135 15097\n10928 12947\n320 12683\n4048 10652\n1703 8311\n2819 8158\n4946 11905\n3097 7291\n203 14489\n2169 12798\n73 7854\n1171 1693\n4130 8501\n4076 11387\n1760 3000\n4689 4819\n6179 8039\n1089 6088\n10825 14131\n5357 8345\n5888 12480\n13612 13798\n3057 7366\n11507 14702\n10 5073\n7978 15195\n7976 14871\n4725 6117\n6591 9759\n874 12936\n1849 5649\n4472 13313\n14936 14978\n5721 14038\n9456 13008\n2437 6132\n14572 14628\n6304 7815\n9057 10137\n511 3784\n76 12529\n1222 2422\n11749 13114\n239 15248\n1377 7540\n11778 13529\n11050 15274\n11824 14577\n11099 15024\n8185 12838\n856 4657\n2542 10244\n4508 14110\n3112 3453\n9637 13795\n7529 10240\n9060 10901\n5511 10228\n4912 10740\n4606 4763\n3675 4029\n1673 7198\n3792 13316\n12337 13718\n6853 11899\n1067 8229\n9411 12636\n189 8137\n5746 7900\n4573 15282\n1662 10957\n3543 10009\n3413 12744\n4813 5597\n10098 10550\n4904 5714\n670 14013\n1443 11764\n3900 4298\n4385 15174\n846 9024\n2396 13211\n5972 7174\n8770 13434\n11018 13956\n12244 15063\n5586 8528\n301 7935\n4023 10088\n5480 7246\n5025 9975\n9201 11761\n2274 5795\n5908 15105\n120 13733\n7052 9546\n2148 7200\n1378 2121\n4629 11432\n1582 11356\n3325 11941\n9727 14819\n4045 9886\n3896 7460\n5420 13428\n2624 10448\n3288 12132\n659 9108\n9044 13503\n2823 5425\n2606 3778\n3599 15304\n4990 9710\n3809 9304\n758 2234\n8628 12346\n11559 11940\n10447 11018\n7016 13370\n2239 5044\n1628 12793\n5190 15305\n8737 11590\n6199 6827\n1801 6490\n6583 12257\n3501 4153\n195 10483\n6727 14791\n1171 6739\n1085 15266\n113 7921\n13179 13876\n4670 8840\n3880 9144\n4472 13927\n1753 10663\n2910 9271\n2918 12767\n789 8477\n12195 14362\n2404 10764\n13668 13691\n6677 9238\n5909 7724\n655 7180\n4029 5429\n202 3612\n1669 7992\n4031 12780\n1808 8964\n5077 8151\n6000 10927\n4926 15087\n5259 12671\n1073 8552\n7923 9066\n2693 7316\n7364 10321\n8322 11925\n3110 12640\n8921 15024\n6775 14218\n5122 13730\n975 8057\n2858 8967\n2844 8488\n4556 8222\n1233 4724\n4603 12713\n226 11238\n9144 14955\n5435 14454\n1891 9237\n2075 14214\n4626 12764\n7918 10707\n7357 10116\n5501 11352\n8926 11696\n6442 8812\n7457 9904\n3921 6638\n9228 12035\n12178 14710\n878 1117\n8774 11616\n3955 11765\n11810 13145\n4533 5038\n8431 11121\n464 1952\n4006 10829\n5860 10746\n9820 11451\n5781 11061\n8212 11344\n278 1269\n4525 9543\n3551 6265\n3900 11240\n1380 8181\n9826 10540\n5797 10623\n995 6057\n630 10770\n2913 6009\n3536 9442\n4327 8017\n11850 13794\n6824 14051\n11651 11660\n1471 11522\n7772 9209\n6645 7363\n7561 9593\n1595 10426\n11412 13823\n3845 8609\n7779 8663\n2920 9349\n1836 11652\n3412 8617\n10143 10928\n4959 11191\n1224 2080\n383 13988\n12636 14657\n4281 13345\n3513 9799\n849 12862\n1730 13313\n2200 13586\n5716 9291\n477 12458\n1255 13758\n4861 14904\n660 11010\n952 4373\n20 7163\n5020 11915\n3263 12903\n4667 13113\n14730 15206\n4378 13963\n3803 10726\n4672 8983\n72 10429\n4629 8770\n2683 12527\n2073 5223\n3652 10733\n21 8246\n149 3886\n9779 13506\n5767 13446\n1753 4212\n3479 6349\n967 14272\n3449 12994\n5644 10219\n3057 11541\n11730 14429\n8346 12924\n5349 10040\n964 10753\n2310 9170\n3262 14616\n497 9281\n526 12429\n5083 11629\n7407 8000\n4384 11105\n3166 8110\n5549 14294\n8741 11357\n934 10198\n7756 13728\n3765 13492\n3626 9191\n11189 12080\n1479 5371\n13112 14829\n1852 8502\n5338 8080\n1534 10273\n1437 10047\n6282 13741\n4219 8418\n2757 14237\n7845 13157\n3431 11897\n2963 12665\n1876 11699\n3842 4686\n9691 14798\n3740 8562\n1794 3486\n1918 8560\n7264 7324\n7010 7732\n6681 11922\n10849 13381\n3403 10571\n3897 11458\n8781 9068\n7403 15005\n4521 8664\n1107 4622\n3665 14117\n4098 4547\n3219 3847\n1142 11636\n4300 7785\n8787 13942\n2343 2767\n4994 12334\n9052 13225\n866 9834\n9840 14876\n489 13827\n5391 11197\n3885 10232\n2943 6800\n3816 10074\n8166 10695\n552 12156\n4622 5097\n7445 11818\n1421 7758\n3510 9857\n8701 9789\n9064 14006\n3218 4492\n9678 13031\n6857 11750\n10352 11328\n8334 13449\n3755 10898\n5082 9511\n1271 3161\n52 4981\n9466 9595\n5388 7639\n4003 14720\n771 9700\n1004 3691\n3629 6139\n7835 11708\n6611 10049\n3519 9302\n1524 3559\n2802 8925\n123 15286\n7315 11103\n3747 6824\n14528 14791\n2483 14642\n1218 5243\n348 5310\n1780 14394\n5765 8918\n274 12082\n1409 14611\n3438 11380\n6499 13308\n1437 5680\n4009 8555\n2847 11730\n6043 9484\n4390 9753\n4153 12192\n11693 12844\n1374 4116\n8528 8899\n2530 8121\n4645 5836\n5014 6545\n2827 11768\n4002 8603\n12430 12895\n14058 14248\n6255 9608\n1397 10874\n2642 11163\n3596 9494\n941 14602\n7595 14039\n3008 8508\n11520 13855\n10682 12042\n4624 6903\n11845 14589\n9221 14504\n11113 13153\n10325 13678\n8088 14991\n12743 12899\n4720 14594\n5558 6422\n7233 8307\n5281 14315\n3525 14088\n8360 11368\n4722 9949\n6009 9296\n9978 13475\n8422 11672\n5247 7861\n8804 12067\n471 3850\n3107 8944\n8002 13770\n1779 5474\n5874 10505\n4458 12398\n2405 14004\n167 1112\n3084 9543\n2154 3092\n2738 13006\n2400 9268\n8356 14101\n12772 14463\n3363 12099\n6853 8164\n10630 14458\n4554 11061\n3101 10272\n2024 6220\n865 13928\n710 6281\n4662 12740\n1727 8477\n11653 12109\n9709 10735\n2939 9112\n6222 12447\n1960 9427\n12929 14280\n499 6678\n10609 13215\n13941 15150\n11752 12248\n6503 7381\n204 12085\n2021 6437\n11928 13077\n3274 11720\n3676 14150\n912 8594\n11433 14224\n5548 14570\n4482 14624\n12164 14370\n1914 10517\n2678 12219\n1047 8591\n2035 5494\n9040 12017\n13011 14741\n8374 11315\n1276 7105\n9371 9674\n1523 7034\n1872 14134\n9105 15292\n7209 8545\n1391 10019\n4003 5788\n1850 10991\n2215 4526\n8033 11489\n10592 13632\n9137 13539\n8948 9405\n9374 12856\n735 14415\n12653 14309\n4731 13004\n339 9715\n4031 12295\n10 6860\n1917 6106\n6172 11524\n4151 4370\n8473 10497\n11968 12243\n4273 6642\n1596 3095\n3288 12396\n7817 14733\n907 6413\n6652 14515\n726 2624\n4219 4565\n8011 14434\n9136 11739\n2358 10727\n4692 13578\n2729 4806\n2895 4237\n14660 15168\n9761 10205\n6195 11042\n12672 12913\n781 9770\n7016 12207\n2172 10345\n6420 15048\n4823 9266\n8239 11718\n7737 12261\n459 1862\n4533 10102\n4943 5521\n7104 11729\n5189 11412\n710 5621\n971 11346\n3848 8248\n8405 13802\n1549 9349\n1079 1642\n1159 4458\n2351 3495\n11895 12953\n8845 10884\n5582 8830\n3790 7097\n6708 15285\n4300 9771\n9158 11230\n11903 14151\n517 9536\n9425 14430\n2616 10543\n2779 15043\n11294 14599\n719 13295\n14245 14257\n2980 12692\n11457 12608\n11687 12152\n3330 13021\n8521 13579\n2190 11297\n7222 8739\n3741 6305\n7685 14856\n3300 4280\n2253 4035\n42 8616\n6869 6949\n5554 12551\n2087 3300\n1636 3474\n8776 13084\n6433 11814\n13882 14858\n271 10100\n3720 4183\n3600 7353\n4125 9887\n10470 11887\n6118 8130\n5243 13729\n4029 10422\n5179 14951\n10264 11951\n4718 9232\n8296 10959\n730 10952\n6751 11246\n8749 9869\n263 14877\n3528 11113\n1301 5455\n10836 14840\n990 2273\n569 2255\n8074 12168\n6729 11395\n52 14428\n2976 6012\n5284 12851\n3164 13170\n4016 8021\n5154 7235\n1658 2759\n10794 11796\n3467 8643\n4317 15070\n10141 10778\n9728 11395\n4040 12265\n2230 13630\n10997 14516\n2082 13195\n4755 10068\n3111 6867\n1659 10434\n12161 13314\n3571 4778\n7009 12668\n7380 12313\n2179 3837\n501 12955\n8631 9426\n1941 4908\n11930 14720\n2443 3199\n3618 14596\n63 6826\n9485 13234\n3530 11021\n2676 12066\n1198 11856\n1569 15023\n10762 13198\n8808 12152\n1792 10544\n3649 5144\n5424 7763\n661 12411\n10818 14644\n14217 14315\n9458 14803\n6118 10083\n1152 3725\n1958 3382\n8232 12234\n1852 2687\n3764 10342\n6329 14112\n9228 14077\n4564 5005\n3023 6496\n11215 13592\n4330 4766\n5751 10346\n4113 12438\n2303 8065\n3463 7115\n1947 14034\n5033 7050\n9861 10657\n4173 11309\n9209 11147\n5295 15233\n1830 2802\n3346 7225\n89 8765\n2508 12146\n1258 8818\n4937 7876\n4805 7053\n5255 9370\n607 11433\n12622 14793\n2119 8647\n2132 14633\n5750 13347\n5675 9938\n12619 14013\n67 10123\n2909 6471\n9047 12981\n205 6177\n8446 12855\n4094 12538\n2111 14192\n5849 9454\n1425 13470\n1809 11317\n2129 6859\n1735 3149\n9838 9936\n8511 8997\n6399 8936\n3191 4635\n3019 8547\n3343 12244\n2573 14761\n3027 3860\n10962 13457\n13270 15099\n2792 12106\n2465 8322\n4245 6824\n4417 12483\n6832 10715\n3829 11015\n948 6526\n388 13837\n1508 4309\n6321 11097\n5647 11622\n7431 7866\n10416 13931\n8586 14641\n11792 13720\n8403 9046\n228 9910\n677 5658\n2723 5504\n5718 12469\n4315 13570\n1688 8934\n2456 13050\n353 14243\n3985 4227\n1690 7965\n8521 13345\n4473 13789\n4391 4783\n1948 6691\n4878 6162\n5264 5321\n5177 11093\n945 6278\n7221 13287\n7260 8318\n1226 6616\n12439 15068\n2597 4491\n7469 9951\n2985 10670\n2 4275\n62 14195\n12252 12717\n4865 12444\n6802 9476\n767 3256\n566 10093\n9067 13573\n11058 14515\n4656 6994\n9026 12064\n8545 14342\n2132 11581\n2657 14131\n785 11304\n794 3867\n1403 9439\n5249 5289\n1643 7615\n5934 7017\n1683 1906\n11344 12988\n7972 12411\n12706 12877\n9607 9758\n13256 13722\n7246 15163\n8270 14832\n1722 12126\n8580 10416\n3424 11115\n6255 9452\n4641 13634\n10161 11710\n4026 4068\n1926 5506\n9231 10454\n2996 12915\n8171 8803\n6999 11152\n9125 12505\n2125 9004\n290 5564\n3712 8316\n1098 14006\n3218 11570\n1016 8503\n3126 6421\n3309 5490\n6991 14333\n5488 6865\n14910 14976\n53 9814\n513 13107\n1739 4233\n4570 7106\n841 11514\n994 9917\n5237 8854\n9219 11246\n13829 15243\n1649 11693\n6753 14030\n4061 15209\n5992 8788\n2060 14904\n9839 11473\n12987 14678\n1724 13561\n1270 5426\n2451 12918\n1863 12432\n3817 13297\n1028 3887\n13805 14229\n9738 10660\n12840 14523\n868 12081\n3993 13532\n4546 9995\n261 3292\n2034 9049\n547 1724\n1821 3601\n14647 15097\n3400 13324\n2244 14348\n1281 4266\n6172 11209\n12456 12764\n381 14112\n7408 8419\n7931 8078\n5582 12273\n9545 10159\n7716 14311\n3684 3922\n10365 12208\n4201 6344\n5934 7997\n9000 14707\n6650 8984\n1157 13686\n8736 9983\n370 1171\n123 13761\n11603 11722\n720 8199\n1311 3324\n4594 14458\n11304 14550\n3486 10662\n3651 12367\n3620 7391\n6693 7420\n4195 13745\n742 14755\n48 9032\n4818 5157\n9704 13904\n6621 6977\n1146 14417\n6908 8920\n11494 14305\n921 13877\n5526 9346\n937 998\n4082 12024\n14086 15217\n4594 9651\n1007 5922\n2272 3496\n3154 11520\n1438 11835\n348 9636\n2712 5088\n10540 14791\n1935 13558\n5832 11323\n7969 11762\n4945 6481\n1462 10900\n2270 4171\n484 9387\n3573 13456\n10076 10327\n4104 4408\n1386 5182\n1311 7079\n9274 10879\n1065 9963\n2949 13405\n2108 3383\n847 2857\n3999 8402\n7898 10665\n4278 5307\n1902 9454\n4541 8296\n11312 12626\n7520 9711\n8181 14335\n723 1641\n6832 11032\n2189 12905\n6198 15024\n3532 14292\n5049 9563\n4241 4959\n8783 9119\n11175 12721\n2698 10579\n799 6067\n5035 8243\n3024 4139\n6397 10456\n8073 10193\n683 5593\n5844 9178\n11721 14127\n2504 15138\n417 4309\n88 13196\n990 14311\n8274 12023\n10875 12053\n3698 9385\n2296 4530\n2925 3584\n9965 15162\n11278 12845\n2749 10014\n10006 11473\n2518 9097\n887 7282\n2058 10687\n2850 7642\n4881 5567\n895 7410\n10493 13645\n9808 14220\n4244 11822\n545 3794\n4371 6170\n7033 14249\n1714 13131\n764 3070\n4174 8547\n4437 5978\n10305 11740\n2429 11782\n2200 15076\n2448 5235\n934 3168\n9244 14321\n4251 8207\n3348 13523\n4726 5581\n5585 13352\n1488 12202\n7497 12164\n8227 12419\n14333 15034\n1926 6458\n705 5643\n5331 11656\n2164 4904\n5443 12189\n2687 5254\n10688 11744\n7839 9836\n3733 6955\n96 6025\n1488 4551\n9031 10719\n12214 12961\n6460 13025\n1589 5228\n11913 12146\n4292 12893\n11585 13600\n225 1846\n5106 5557\n3678 12719\n2077 11877\n1482 6022\n8922 10458\n5189 7671\n4362 12753\n1073 14664\n11458 13101\n12341 13223\n777 11952\n4161 13035\n7903 11219\n14752 15009\n5268 14376\n8709 11749\n12493 14949\n13124 13907\n7447 13140\n4321 6705\n765 3532\n2890 6817\n2461 5647\n5444 12662\n1014 9439\n1706 9478\n2742 4086\n12989 14937\n10181 10542\n3100 10257\n9749 11461\n1312 9350\n9370 10088\n2413 4977\n4974 14835\n2091 12658\n8429 8669\n13742 13748\n4615 13731\n3429 6883\n5613 6720\n12996 15092\n8257 10887\n7680 8063\n4436 10197\n746 14379\n2752 4303\n5049 14710\n11392 12668\n7089 8118\n2398 12360\n7136 14615\n7343 13372\n10112 15230\n5522 12949\n7167 10191\n8916 11584\n10322 12324\n4654 10051\n5350 7761\n6086 10566\n11283 14075\n1080 11150\n218 5749\n8201 8905\n5956 13030\n4948 4983\n2428 12805\n5403 12918\n7355 12706\n6022 14336\n6608 13798\n9464 12653\n5835 11480\n4783 11973\n3956 10273\n6124 9425\n9133 13791\n1473 5365\n5281 11717\n10918 13759\n5828 9838\n583 1262\n3126 10928\n1765 8952\n3900 9684\n1072 10918\n6164 7407\n10133 14785\n8820 11374\n11792 14058\n878 1587\n3672 7699\n2703 4039\n4553 14514\n10369 12318\n1328 11696\n10572 12859\n8951 13867\n4251 14121\n1352 3066\n3776 6914\n7191 10290\n261 8092\n9071 10792\n1176 12347\n4108 10661\n2564 11380\n11385 12670\n8043 9266\n5218 8586\n92 5419\n2627 12158\n3396 6388\n6001 9354\n5526 6568\n1676 3158\n8048 14681\n2070 12402\n9780 10623\n2009 5829\n944 1564\n7495 10545\n647 12968\n8695 11090\n14182 14536\n6795 10206\n5969 14324\n11728 13250\n10032 10977\n1970 2748\n10010 14918\n916 8178\n2354 14581\n2149 2446\n2078 15230\n8266 9607\n5373 6627\n6881 10813\n1346 13965\n10593 11985\n70 2527\n6423 9334\n1418 3882\n2065 13308\n2008 8231\n3535 14644\n8350 8741\n321 13340\n2241 6618\n5151 11406\n12965 13015\n2248 10611\n14117 14864\n2088 3333\n2958 4745\n7339 14767\n11566 15037\n516 7859\n6956 12076\n8217 13586\n609 3461\n7635 8589\n8360 10307\n3678 5706\n1998 14768\n10234 15146\n6440 8115\n3718 4913\n2451 7519\n2986 3435\n6342 7223\n180 14903\n6174 8182\n3166 8467\n6470 6636\n3691 13325\n5889 6324\n6 11190\n10109 12686\n6328 7451\n348 7400\n4571 5448\n4145 10769\n3501 12745\n1035 10633\n1866 12127\n2176 8268\n1012 9371\n3040 6406\n3339 11512\n13307 14227\n2458 2502\n11081 14840\n1633 6956\n1215 5935\n1801 7341\n3326 14872\n3138 10266\n7004 12570\n2760 6232\n10604 13516\n8952 14479\n8661 14721\n4672 6236\n1864 2108\n768 6420\n6212 12941\n868 4227\n311 12708\n6837 11373\n1428 11122\n340 2794\n303 951\n5625 14886\n5527 10607\n9084 13376\n11186 12318\n4659 8012\n1309 12134\n2473 8606\n4360 6164\n8216 9096\n1225 2772\n1721 1793\n7334 7577\n5624 7359\n9007 9177\n12206 14037\n10045 13183\n3665 14851\n1433 12593\n11084 14416\n7751 14437\n5435 14289\n11778 13600\n4301 13972\n1434 2776\n3955 14690\n8320 15006\n3188 12129\n521 11719\n992 6206\n1971 2863\n7838 12415\n81 7883\n13317 13645\n4610 7322\n2365 12991\n4847 12522\n3586 9554\n10754 13361\n2766 7656\n643 13992\n499 13272\n879 11815\n3181 10435\n5544 7422\n3112 11009\n5025 7401\n681 8822\n4716 7140\n260 2036\n6799 11763\n6860 7193\n4551 10881\n12185 12550\n5202 5868\n4605 7699\n447 515\n5322 7776\n103 14787\n496 12840\n4878 11340\n7876 14118\n13 906\n4006 13172\n6223 12268\n2893 15044\n3509 3533\n8918 13373\n77 2001\n1779 4294\n1540 14844\n4541 12378\n1912 3194\n230 5194\n92 268\n2784 5803\n2847 7839\n6649 6949\n401 11264\n3146 3151\n6143 12433\n2934 3045\n7783 13314\n6396 11314\n3982 6156\n9861 12340\n10930 12769\n5371 12833\n2311 9921\n6123 11788\n4139 11334\n3767 14412\n9760 10642\n2488 7079\n10983 11530\n1475 14490\n335 10026\n103 1200\n4806 11260\n2795 7371\n869 11216\n107 6396\n5612 5964\n1675 8345\n5106 10169\n10000 14801\n55 2904\n10859 11351\n8354 10864\n8809 9101\n4318 7560\n12393 13842\n8461 8834\n6851 8022\n14418 14702\n1139 15049\n151 12379\n10897 12183\n5541 12062\n853 6054\n7441 9820\n319 11518\n2291 11208\n12995 14775\n2178 13064\n5850 13344\n6155 13261\n7919 9805\n3567 4155\n1976 10148\n509 10870\n79 853\n7601 8685\n5424 7954\n3317 8395\n8713 13582\n1248 8013\n14094 15256\n8881 8956\n1157 3859\n3909 8796\n14051 15111\n10681 14282\n4357 14450\n210 7159\n1944 12295\n7983 10617\n4824 8368\n11665 14988\n4626 6036\n7417 10783\n995 12661\n5773 14860\n2067 7459\n3663 8094\n5673 12262\n5309 10030\n2025 15198\n5577 11850\n2354 3624\n1176 2644\n2410 9484\n5716 12844\n1975 8261\n604 14312\n1822 13884\n4065 5887\n4908 13382\n8806 13959\n3037 3354\n8526 9005\n8768 15152\n3774 5833\n1451 10245\n6153 7265\n6964 12415\n10729 12575\n2524 12711\n6637 9332\n2976 6018\n1563 14946\n4266 5959\n2415 6095\n6169 8134\n4810 12209\n697 4911\n7569 10602\n13184 14370\n3213 14896\n4187 12581\n1430 8030\n3398 11563\n7509 10817\n374 9012\n5242 11458\n263 14104\n1267 1991\n930 4637\n11390 12539\n1430 2529\n7966 11157\n153 1920\n12484 13210\n7388 15038\n2138 14607\n9750 11927\n7994 12887\n1123 9749\n5116 8483\n349 8563\n838 4405\n865 13650\n2259 7251\n909 9048\n6941 13576\n4973 5689\n5357 12490\n2203 10076\n4253 15234\n7397 12890\n5042 10944\n7580 14137\n1536 5101\n2221 8901\n626 2638\n5184 9416\n564 5473\n6176 8720\n8785 15096\n3885 4992\n10978 11797\n13182 14427\n7027 9423\n4416 10439\n2182 13215\n904 3121\n1635 13478\n4400 9932\n10986 12151\n12618 14626\n2582 14810\n3734 8885\n27 13505\n11690 11855\n5333 10916\n4995 5699\n12006 14754\n6150 9063\n7872 11645\n7739 13067\n2849 8982\n6411 8400\n1157 9074\n3211 8125\n4822 14818\n14660 14953\n3111 15089\n3605 6686\n9936 15094\n10428 10851\n8255 12520\n71 3612\n8531 12892\n5035 13229\n1326 9467\n1503 12578\n3636 4029\n2531 8117\n7412 13909\n5962 13946\n250 12939\n174 10693\n723 8179\n9721 12042\n8417 13006\n2879 14639\n3442 4562\n10071 13070\n2521 4895\n4816 8398\n2315 4405\n4288 12724\n3059 11263\n9285 15258\n7992 11635\n9216 11429\n6226 11912\n3065 13657\n8825 14261\n3238 8895\n10870 13782\n1120 13733\n519 1205\n3195 3729\n10299 11574\n12261 13549\n7256 8369\n1469 7243\n4470 11742\n5066 5850\n7506 14225\n1733 10427\n9986 10515\n1396 2181\n1291 7564\n8158 9366\n2035 11043\n4017 7522\n6697 7747\n331 10988\n7451 9363\n11036 14508\n184 3555\n8399 14563\n4894 10671\n2914 6893\n2417 15147\n44 9235\n4769 12078\n3825 9205\n8443 14710\n2780 9010\n2208 5921\n2000 9024\n11028 12366\n3848 13305\n1848 8200\n2664 4338\n924 12620\n5143 7678\n10219 13953\n10593 11084\n9060 10506\n9138 11661\n3174 4238\n5278 13848\n4598 8312\n7740 10185\n3337 13310\n4836 10520\n9349 11452\n11863 14536\n3503 12821\n7265 9205\n7629 8804\n5360 11649\n12052 14601\n8423 9907\n2606 14475\n1495 2821\n6743 10151\n10707 11731\n277 14140\n3857 11514\n2593 3766\n7465 12162\n12972 14447\n8422 11035\n2204 6068\n11497 14700\n6252 10736\n5497 15159\n12256 15102\n3287 12953\n4263 4462\n1059 6980\n494 1622\n5907 8456\n1262 12617\n1211 8510\n57 12803\n4018 14414\n13886 15029\n7752 9247\n3288 9031\n2642 7129\n8242 10004\n2235 4860\n873 3842\n12558 13521\n2301 10131\n9490 11140\n3030 10063\n1032 4509\n2337 3116\n3771 8126\n2190 6749\n7416 8207\n3923 5535\n7379 11780\n4302 10965\n10292 14575\n553 10205\n6195 8040\n3332 12500\n2324 3658\n1800 14050\n6182 12748\n900 1163\n3809 6173\n2875 11209\n435 14358\n10563 13065\n7301 8723\n1087 3227\n10381 11728\n6616 7716\n3601 3612\n784 8158\n693 13662\n9908 11264\n6266 9763\n372 13576\n2341 13080\n3881 6216\n2368 4820\n8987 14900\n3609 6702\n4886 7376\n1354 2976\n10586 12015\n817 10859\n1023 3788\n2033 2358\n34 4962\n7906 11718\n4283 9952\n5939 11948\n1612 4545\n8495 11178\n9207 13096\n9993 12424\n6933 14348\n7884 11529\n10186 11686\n905 15085\n1419 10896\n7400 10269\n1291 14107\n4555 14964\n233 562\n8658 14296\n5740 13520\n7249 8979\n7654 13821\n8270 11664\n5092 5959\n4575 4701\n7930 13166\n1640 14436\n2602 5100\n5808 10824\n2217 12727\n3755 11131\n4493 5638\n1217 1408\n3130 10820\n5148 6343\n13555 14827\n12846 13540\n6843 12992\n3924 15147\n3489 5060\n9217 14679\n10574 14330\n2547 14482\n1532 11710\n5203 14394\n11743 14007\n7189 10702\n8242 9300\n4274 9956\n7792 8294\n410 12115\n13705 13784\n3726 11273\n695 4420\n2428 14683\n9567 13464\n1343 9849\n6049 12626\n4660 4672\n2115 7058\n634 2176\n6924 14159\n2548 5076\n7920 12467\n13085 14674\n3357 3767\n3744 14959\n5249 11720\n13537 14008\n6801 13841\n1526 11480\n3796 10070\n5892 10862\n2353 11617\n176 9230\n2748 11318\n11055 12238\n11020 11508\n2824 9453\n1528 2783\n2705 8720\n1233 2796\n829 3909\n12413 14906\n1963 13437\n7683 14779\n4064 11316\n10503 13365\n8071 8596\n2472 3229\n1929 10105\n13099 14335\n8030 8820\n2191 5204\n8568 11088\n7677 9597\n1937 14639\n9867 10894\n13505 14937\n3745 14506\n510 12977\n378 8239\n13352 14339\n7681 12162\n6947 8786\n6354 15195\n799 9558\n689 11853\n12137 14880\n9889 15055\n1589 2332\n9612 9697\n12819 14480\n3518 7648\n154 15151\n12291 15123\n11892 15063\n2841 7265\n4350 6909\n2577 14009\n7849 12434\n3236 9031\n1585 15032\n14659 15179\n2834 13843\n12405 14405\n6256 7513\n14589 15145\n853 2771\n1190 5212\n5771 7020\n1525 9123\n1166 13064\n6001 11463\n11104 15196\n11386 12867\n2194 15035\n1517 11776\n4697 6460\n8778 14927\n8690 11210\n2849 6285\n1308 11220\n2077 13814\n3328 6275\n6305 7213\n9078 14943\n6291 11406\n12951 14070\n13825 14176\n2058 5810\n1307 13124\n4797 13019\n11337 11975\n3475 5564\n5106 7219\n4429 4722\n1914 13264\n690 14755\n1060 2271\n12585 15118\n7180 10468\n1719 7693\n8978 13740\n1189 14597\n13900 14608\n1756 3030\n7148 15290\n1809 9819\n2533 7103\n5391 9548\n5389 6277\n3142 12908\n2841 9933\n913 4377\n11327 11918\n1198 13126\n5488 9523\n13064 15084\n13122 13337\n1707 11329\n6626 11412\n12623 13567\n4375 9021\n7785 11662\n7158 14758\n4271 5486\n10285 10889\n8801 12278\n2603 14936\n6381 11638\n8794 10026\n11219 15053\n7511 12604\n3636 8450\n8242 12253\n1481 3771\n6450 10471\n4317 7981\n3253 11056\n3030 4874\n4326 13183\n181 819\n6526 7816\n1159 6983\n6113 11786\n3801 9139\n12583 12802\n3087 7233\n3482 4313\n3717 5164\n5066 12880\n12891 14877\n3789 4913\n32 13715\n4511 12320\n5047 9733\n2228 10785\n7172 10110\n2117 9647\n5455 12950\n1664 9045\n6741 11960\n2504 12559\n6738 10359\n158 10836\n11342 12091\n1853 13824\n597 5314\n8405 8559\n4851 14154\n10029 14381\n622 3690\n782 15156\n11456 14873\n3722 6665\n5009 12703\n8566 12378\n4139 7200\n8657 11640\n7980 9158\n1055 3398\n4923 14763\n3829 11831\n4369 6826\n6516 13718\n5407 14513\n7884 13320\n10119 13208\n7062 12995\n13283 14701\n667 8584\n3476 7063\n3250 5175\n2452 7922\n2887 6111\n8745 13990\n14 4367\n2519 12568\n6388 6646\n7233 10695\n4290 7440\n136 6139\n2224 4550\n906 2666\n2631 7507\n1325 1348\n133 11067\n7232 11338\n4986 12688\n620 6756\n1748 3898\n7954 12799\n11421 14694\n5710 10994\n5355 8350\n11979 13526\n11810 12146\n842 12243\n892 15227\n2639 14366\n2201 7559\n13664 13946\n1683 10873\n6998 14495\n1616 4552\n11587 11944\n7611 13871\n9023 14558\n10340 14846\n1950 4366\n6234 11349\n10136 12318\n1326 11229\n707 13402\n4603 12989\n6787 10256\n9173 14979\n4731 10640\n210 11931\n10926 13509\n8665 11162\n6655 9332\n2572 11451\n586 879\n8500 8801\n355 10822\n497 12972\n5466 7384\n8519 11310\n8079 13680\n3045 14077\n7251 9454\n4682 4808\n536 4495\n6999 10798\n652 10100\n6679 6911\n1162 3631\n1575 3948\n3802 4005\n6938 9634\n2275 4589\n6960 12167\n407 1576\n13322 14772\n6252 6698\n3609 6758\n4156 12181\n6603 10082\n4055 6491\n1857 11833\n7729 8565\n7001 9232\n237 7075\n7292 11087\n3340 9364\n7531 13487\n8785 13811\n7299 15153\n5661 8896\n13487 15155\n8092 11775\n6330 9614\n854 11774\n7991 11294\n6146 9217\n11463 14373\n772 1650\n4921 7940\n2383 14687\n3000 5741\n12851 14613\n10619 13594\n9186 10115\n3079 13388\n11834 13016\n3529 7013\n12927 13665\n5668 13091\n2541 7370\n399 11849\n1527 15274\n444 4894\n2565 6414\n4159 13822\n4132 7418\n5949 10490\n903 8783\n10257 11907\n8061 11503\n1503 1534\n3070 4494\n1623 13870\n5918 9807\n1869 13206\n1361 1970\n788 14787\n3513 12258\n2948 9149\n3575 14181\n2468 10181\n5550 14517\n1212 12227\n4894 14932\n10336 14109\n6820 12431\n2884 7141\n1072 10531\n9444 10856\n1291 9943\n1615 15059\n5118 6889\n8552 12524\n4017 9949\n1243 9435\n6705 10437\n12849 15185\n4808 11082\n2175 6401\n543 10526\n3446 5938\n8430 14080\n241 657\n6336 12398\n1898 2328\n1135 3772\n2370 10202\n8864 14187\n4788 14568\n7780 14055\n7303 10886\n9489 13487\n4102 11949\n13258 14377\n5181 14799\n1810 7197\n2607 5102\n5529 7317\n4298 5035\n4013 7928\n9506 15306\n6147 10287\n11602 14388\n1938 14593\n9781 14111\n3679 15194\n1841 6953\n377 6713\n2790 4115\n4836 9692\n8501 10871\n71 10490\n9774 11230\n1829 10212\n1681 4283\n948 9783\n5574 7207\n4662 5124\n3114 14941\n1717 7359\n5852 7147\n4793 7369\n8803 11862\n2140 9042\n369 12620\n4776 9972\n4051 10530\n4762 12992\n605 14466\n2643 8014\n7742 13526\n3678 13931\n7135 11098\n682 5842\n1550 10864\n2417 4748\n13235 13905\n1160 2734\n9405 13746\n3714 13658\n4063 11587\n3338 6521\n4228 5533\n7781 12310\n879 2239\n608 8089\n10394 12663\n12942 15039\n5216 5790\n5001 14609\n4182 8661\n3434 7379\n6005 13497\n4044 5971\n1536 15123\n9582 11671\n7892 9992\n8875 12137\n4228 7580\n4041 7048\n4992 13575\n6710 7882\n6276 9186\n261 2557\n308 11879\n8196 14187\n6456 7532\n3208 15245\n1755 9660\n13418 14473\n3018 14012\n1819 10594\n8715 8778\n2527 11543\n2694 8554\n2228 2819\n3719 13920\n1291 3061\n5100 6607\n7409 8416\n5311 9402\n1386 1865\n10022 12244\n703 10617\n8323 11073\n2147 10080\n1560 5094\n1929 7159\n2434 10006\n2593 5039\n2271 3186\n1716 1950\n9550 13974\n2848 6028\n9345 12394\n4345 4451\n6194 13225\n6091 13001\n2514 14150\n5530 6244\n5216 10681\n2040 7093\n6794 13545\n7181 14562\n6442 9557\n816 8101\n5381 12619\n1484 10385\n4125 11753\n4816 11324\n12849 14129\n809 3466\n11494 14181\n3994 8302\n4021 6395\n10999 15234\n31 63\n2031 11256\n1201 7520\n5407 14849\n5843 12755\n4290 14953\n5442 8007\n7365 14664\n1858 10637\n4133 10144\n8290 12673\n2276 3536\n5443 9479\n7636 14880\n435 1140\n1840 6186\n3076 12292\n1130 8745\n1051 2356\n10189 14793\n5247 5380\n8016 10719\n8929 9492\n10824 14819\n1240 3634\n324 7550\n614 5169\n3554 7465\n1959 3985\n8209 10966\n8720 10095\n4032 7830\n4120 12050\n9223 12439\n2565 4690\n4987 7119\n6145 11113\n8101 13456\n371 512\n2017 13706\n5678 13059\n12556 14685\n2998 11429\n5632 6703\n8136 11671\n5054 8833\n63 5717\n7456 11567\n1751 2150\n4244 7417\n11700 14568\n4567 4741\n2378 3643\n7884 15256\n7849 8516\n2005 12823\n6202 12524\n10188 15036\n10158 13108\n2431 11786\n2197 11435\n8060 12363\n6120 7702\n7450 13211\n6101 14336\n2504 6520\n13602 15265\n5101 11216\n2697 4539\n4567 14972\n7162 10291\n2286 6474\n6242 12577\n6951 13328\n3463 8188\n6027 8397\n5944 8204\n10313 10784\n1328 4681\n5919 9094\n3989 13421\n10086 11289\n1532 11104\n624 3496\n10990 15271\n1904 13936\n3414 15120\n1045 1260\n2666 6960\n6399 13511\n14533 14813\n2844 13126\n3701 4394\n7486 7497\n4893 7454\n3492 5980\n7545 7872\n328 3512\n7837 12208\n11212 12209\n9533 13042\n7992 10781\n1699 11473\n5445 14799\n3832 9196\n3999 6465\n3121 6384\n11479 14649\n2241 2568\n13270 15216\n10211 11977\n5850 14979\n468 1617\n1721 12767\n5968 9728\n9185 12518\n9035 10780\n5067 7274\n6359 13257\n1456 12364\n9711 9712\n2855 15220\n9409 10280\n7165 10523\n5545 10698\n4318 11602\n8731 14383\n5316 5343\n11437 15009\n3604 12825\n8965 11634\n11967 15257\n1520 14967\n4467 11226\n6532 10569\n8775 11204\n3638 13145\n3938 12611\n5851 9888\n6423 14416\n833 14267\n13035 14230\n13666 15245\n837 2782\n10373 11299\n1076 1199\n7162 8775\n1037 4117\n1080 7056\n3511 14537\n305 12345\n8461 11826\n6266 14112\n13881 15268\n6721 8936\n5562 12139\n3516 9116\n3745 7261\n11385 13839\n3737 6663\n9754 14476\n7349 10090\n74 14799\n9931 13355\n1637 5521\n6975 7547\n1360 8249\n5752 6507\n58 897\n733 12744\n6078 10459\n190 12470\n10440 13486\n1698 2329\n8752 14584\n14686 14908\n1598 5183\n8625 14853\n4771 8818\n9097 12054\n5679 13180\n2107 5980\n1772 13849\n2086 8714\n2774 10363\n7097 11809\n832 13236\n6805 13433\n11875 14818\n3029 13912\n7983 11174\n407 13917\n7568 13083\n2806 10816\n2075 12050\n1660 7207\n7622 12110\n1762 4429\n8768 15154\n715 7314\n6569 12023\n3543 15212\n360 7260\n9322 13521\n11987 12580\n6927 6983\n7813 14815\n9314 14860\n1412 3805\n672 9439\n10690 13678\n2282 15050\n2272 9216\n913 8086\n10617 12560\n801 3120\n3585 13506\n9085 14931\n6597 10212\n5470 14770\n1792 12381\n2969 7445\n2453 5703\n12822 14349\n465 5225\n9519 11654\n9501 12241\n5046 12430\n1580 3652\n8188 10090\n1576 14607\n3276 11356\n2008 2195\n5040 5531\n1574 12616\n2738 9959\n156 6310\n8946 9924\n7833 10033\n6 4058\n5907 10460\n712 10342\n2079 10989\n11006 14991\n10834 12097\n5911 11085\n3868 12550\n3625 6639\n707 7086\n7945 9158\n7472 8802\n8596 14396\n10135 10499\n13736 15091\n7060 8958\n6423 10970\n5502 5700\n2904 10890\n7460 13810\n1205 4464\n4017 15222\n4982 13419\n10718 13070\n4165 14846\n9904 13039\n10734 12580\n1464 13959\n8058 13019\n6600 10966\n7087 9999\n4954 10527\n1129 12655\n879 11356\n838 7519\n7411 13316\n3175 14839\n5834 14696\n1147 11123\n2122 12945\n1767 14208\n10971 12862\n3426 14975\n2722 4229\n1438 14522\n6051 7391\n2793 12393\n2878 11381\n457 3851\n6644 7123\n1984 3835\n584 14863\n3955 7997\n4046 5868\n10234 11560\n2087 5251\n7147 15074\n5397 6127\n4874 5662\n3249 12405\n4560 8409\n4255 13809\n522 10606\n10120 12441\n4523 11788\n5957 12418\n5570 10818\n4545 11681\n1812 10281\n5448 8657\n1218 2351\n323 10685\n4892 6311\n5076 13895\n8582 9418\n3677 13274\n11709 14379\n11859 13336\n251 4219\n8998 9605\n1804 14728\n14587 14700\n271 11332\n7908 10395\n2262 8214\n2537 13955\n768 3148\n763 3608\n4366 10385\n9885 14133\n1586 15100\n3880 13128\n2939 6564\n993 4042\n11096 14466\n4712 8722\n1931 12194\n2475 11063\n2251 3090\n12068 13533\n12890 14595\n9217 10845\n3228 10539\n5891 9213\n2255 6953\n159 9716\n561 12243\n5788 13719\n5495 13666\n2896 10424\n11051 15024\n2664 13042\n1727 6170\n6510 12291\n7020 7878\n6420 8005\n8757 12497\n4120 4123\n9490 10893\n757 7151\n1396 8918\n6469 7206\n2819 8211\n7126 10956\n3209 10413\n7790 11995\n684 9418\n12543 14442\n7075 15219\n2764 5352\n7463 8784\n14249 15153\n4997 6932\n4013 12841\n2060 10404\n498 5081\n2120 9616\n854 9096\n8143 11032\n6778 11773\n10995 13915\n8272 11531\n12951 14829\n8586 11840\n1381 2346\n5387 12588\n8156 11745\n5536 14016\n2449 5767\n2659 5022\n5143 12120\n8281 14294\n11902 15063\n4269 12084\n13619 13988\n11383 12884\n13762 15179\n6004 7815\n5851 9548\n4014 9152\n10222 13361\n3185 12666\n1159 9599\n2051 11768\n3916 15219\n7641 13015\n7960 9368\n16 12936\n8963 14615\n663 14356\n7421 14653\n3864 4580\n744 2204\n1856 11222\n11895 12030\n11044 15005\n3918 14365\n13893 14961\n10560 14173\n11775 15247\n3255 7042\n1426 10489\n3038 4768\n4934 10833\n9954 11822\n1126 5034\n2278 5220\n96 3953\n3513 13550\n4412 12743\n3522 11571\n1215 4714\n8113 12303\n4696 7574\n3308 6816\n8425 14119\n7156 13632\n9444 9641\n1566 4456\n11541 14980\n9374 15272\n6649 9929\n3790 15039\n1080 14710\n714 12071\n7106 11263\n3996 14775\n11734 14983\n4380 13336\n1397 1645\n64 4993\n154 13291\n10466 14725\n3952 9043\n834 3214\n6148 14688\n2016 8056\n2105 5473\n5794 12522\n6622 12580\n925 10560\n1568 10215\n8100 8301\n758 8384\n4322 14941\n879 10956\n3837 8972\n4966 8338\n1185 8278\n914 13753\n6596 12776\n3306 5955\n3395 5732\n2359 3358\n3877 7903\n4723 8190\n5900 14463\n5081 10753\n2619 9689\n10901 12998\n855 1244\n12356 14599\n3772 13514\n6886 8187\n8123 14326\n10098 10216\n10640 13150\n4751 13121\n359 14963\n5280 8516\n5509 5839\n12918 13602\n11057 15245\n3271 7516\n390 12150\n6812 12741\n3592 7309\n7349 8333\n1338 14443\n6035 12272\n5202 5338\n3653 12392\n10416 13806\n6187 9587\n5777 7379\n1566 14420\n8236 11919\n1489 11544\n2603 6352\n1896 11876\n12977 15154\n3143 9585\n4693 11705\n12624 14298\n13219 14501\n626 738\n12012 14291\n10609 13203\n8470 13541\n11502 13887\n8866 15241\n1951 14306\n504 13725\n12348 13172\n14665 15006\n1119 15195\n7444 13094\n5831 8178\n2198 14152\n12523 13946\n9093 13858\n530 6691\n1908 5647\n2642 9995\n4624 6282\n10654 14883\n2101 12282\n727 1490\n3513 11802\n936 6874\n1899 11480\n13342 14708\n2358 8559\n2289 10189\n5496 10832\n4129 11219\n6684 11498\n2164 11700\n7559 7739\n3586 3618\n1516 14519\n2138 9908\n1428 3940\n5313 14374\n1622 13924\n3039 9947\n52 4255\n12071 12441\n6397 12958\n11394 14282\n4034 5863\n340 7256\n8894 12602\n8553 11631\n8444 14659\n3903 11795\n1600 11501\n3462 15165\n4480 13378\n308 12189\n2490 5422\n7696 14568\n9536 13424\n879 3007\n5275 6081\n3632 12362\n5306 7338\n5334 12857\n646 10743\n389 14437\n5072 7617\n4151 12582\n1925 2978\n1187 5128\n1076 3242\n2110 9629\n4180 9163\n3991 10334\n4455 6272\n6225 6899\n2119 12783\n336 14739\n2095 11919\n1483 15230\n4859 10038\n3050 13042\n9702 14602\n10461 12673\n235 13768\n2775 10149\n7193 14759\n462 11013\n2498 3647\n2232 2911\n524 14555\n912 1704\n4351 10848\n5269 14069\n84 13985\n5273 10877\n6429 8597\n1351 10615\n2390 10184\n5637 13408\n6961 15146\n8830 10361\n13910 15202\n2242 8104\n2559 8103\n689 9011\n11456 13743\n5381 8101\n1479 7850\n5347 7294\n1318 5634\n1459 14285\n2693 9505\n6750 11302\n10121 11285\n6763 7708\n4936 9720\n11261 14377\n9279 15009\n5349 14344\n11429 14780\n57 15183\n408 14463\n13311 13545\n5696 6771\n3313 14997\n4277 7727\n7693 9721\n4010 12800\n56 12410\n2562 15083\n8129 12305\n5459 14548\n3434 4479\n6988 14284\n1653 2334\n12936 14110\n7929 12312\n6596 9909\n433 7137\n2079 12358\n2496 5163\n11032 13812\n5951 14716\n4800 14378\n1116 7696\n3372 4748\n5033 8888\n7220 10446\n1252 2224\n5555 6167\n9154 13349\n12067 15152\n8720 11532\n5948 10940\n6330 13779\n2183 4744\n6602 12039\n10275 12379\n520 4762\n5666 11403\n4149 8230\n51 128\n2339 9225\n11403 12891\n2283 10184\n7780 13342\n10308 11680\n3085 12565\n5018 7920\n1316 5541\n10036 11206\n5853 9620\n3873 12624\n12 531\n8406 10758\n11387 13289\n8592 13145\n4271 13258\n1286 13708\n10650 15306\n7122 8642\n4572 4660\n658 13250\n5193 13714\n8571 11788\n9177 12005\n892 6995\n1272 10810\n3774 6260\n1329 6387\n6490 10337\n4197 14824\n3735 4476\n5628 12322\n9728 13589\n5886 7370\n2997 10874\n943 10747\n10990 11139\n13613 14856\n5301 8426\n8477 14721\n2753 9035\n2109 3245\n7074 11862\n5652 6560\n896 5145\n333 4316\n3159 8147\n9648 12729\n4449 12659\n12226 14838\n1433 7031\n10670 11215\n1376 12890\n10573 13239\n13722 14407\n1628 3980\n2501 10586\n7425 11894\n13705 15096\n1144 14236\n4638 13554\n2759 13765\n1267 4739\n13011 14694\n2008 8638\n2028 8910\n12 10995\n416 5041\n12249 12293\n8033 10461\n8625 12025\n972 10066\n4266 8328\n239 4936\n1714 3700\n10404 12418\n8470 12818\n9221 11193\n619 1523\n3979 4338\n2435 7224\n4735 9341\n5972 6241\n11016 14105\n8063 9711\n8257 13057\n10304 14467\n13329 15123\n4574 14177\n4775 9569\n1911 13008\n944 12321\n7091 9259\n422 15078\n2755 11503\n4274 8635\n1569 2177\n4077 10426\n8601 11958\n9388 10213\n6497 13388\n4459 14883\n12789 14835\n12118 14033\n6458 12497\n297 9621\n2596 14275\n6413 12807\n3151 9041\n525 8148\n2912 13400\n3816 10405\n941 9070\n1578 15265\n1317 8009\n13287 14781\n11504 14183\n3653 6281\n2421 12363\n7368 10450\n386 9974\n1107 5732\n1448 7581\n743 8535\n6035 14875\n3866 7087\n8725 8735\n1580 4764\n2944 4872\n1083 15162\n8197 10832\n3663 14903\n10403 11036\n6750 7361\n4156 8641\n8899 12204\n5125 6761\n3848 11996\n1602 2596\n7694 10513\n894 11120\n10998 11005\n5176 5791\n1478 13288\n7455 7854\n1321 2199\n11438 14779\n11339 12490\n242 13374\n554 11612\n2921 4807\n1783 14200\n2853 10389\n2121 8835\n1805 12048\n6790 13176\n9266 10043\n1938 12235\n4663 11118\n11711 12905\n2100 6470\n1951 14776\n10483 11710\n7612 7655\n771 13366\n2484 13232\n5201 9478\n3385 11044\n2164 13514\n3233 14755\n5607 13794\n6170 11097\n326 11839\n691 12329\n6597 7062\n1510 1535\n12705 13663\n548 6858\n9619 12186\n4 3715\n85 9617\n2125 7554\n9496 13734\n1563 11002\n8694 10561\n413 6376\n2143 5192\n7212 11325\n4883 5937\n4109 10860\n5055 10123\n3335 12554\n325 12479\n9146 9569\n8934 12905\n144 4970\n10646 10666\n5134 11805\n5026 11565\n430 6602\n3827 5595\n7583 9767\n2178 11140\n1195 11608\n5306 10164\n2506 11206\n5837 8606\n1634 8415\n2946 3972\n4514 9749\n5826 12041\n6292 8425\n657 8088\n1685 11200\n1670 3139\n9666 10510\n1597 8103\n4236 6536\n3299 7171\n139 12946\n302 4543\n6592 15190\n9302 10154\n8930 14658\n100 7890\n9409 11415\n156 6724\n3044 3975\n2612 13512\n5903 7572\n2974 5819\n3638 10349\n9913 10875\n10891 14968\n8836 9704\n733 2076\n8583 10949\n7645 10270\n1433 4697\n1624 9143\n10240 14039\n7859 9784\n7262 10325\n3824 4674\n2496 8530\n2920 9672\n9736 11607\n10664 13431\n2133 9721\n2153 3444\n6203 6892\n1527 8703\n14620 14713\n1596 4421\n3526 11629\n5676 9910\n9767 10434\n787 11423\n2439 5326\n6355 11429\n11967 14311\n12219 14836\n7165 14767\n2672 2747\n7321 14823\n63 11994\n7058 12952\n5242 5740\n9991 11484\n5431 14018\n7785 9953\n3635 11321\n3726 13093\n2481 12137\n8361 12013\n475 12849\n9809 12456\n6608 10469\n3501 7163\n4807 13275\n7094 11742\n9301 12159\n10722 12918\n10363 14630\n18 9488\n4616 11824\n4645 9474\n3081 5338\n1046 11797\n632 9925\n8651 11900\n7052 12209\n8768 11375\n8239 10742\n9469 10134\n3634 14856\n12756 15222\n9345 14550\n3859 9403\n8371 10886\n134 6343\n2476 2927\n9618 12209\n2451 8761\n11548 14943\n3818 8024\n11784 14490\n6500 13242\n4828 10001\n7304 8440\n1096 6501\n2152 2662\n8466 11525\n10479 11424\n3239 8647\n4651 10244\n4840 14381\n3040 14016\n7837 9579\n72 560\n155 8083\n12229 12969\n342 6459\n8887 9603\n7782 12740\n2653 10303\n7214 7746\n3249 14572\n6170 6504\n5768 11941\n10921 13920\n1260 13974\n9436 12841\n4694 6806\n11027 11514\n3938 9642\n4047 7522\n5671 13965\n2929 3403\n11526 13525\n13010 13435\n13496 14531\n5091 13005\n9475 11465\n4810 8446\n7087 12272\n3429 14850\n12448 14631\n2104 9631\n5387 12083\n2591 10745\n2304 12785\n2033 11882\n7969 11839\n1205 7386\n5228 6622\n7349 10239\n3635 9402\n6036 12957\n3133 5243\n8116 13822\n858 2634\n9231 14484\n418 866\n3168 10212\n1841 9860\n6510 8696\n9053 12316\n1354 10756\n2091 11844\n3499 5369\n11682 13443\n6367 12254\n337 8384\n2567 3948\n2978 8774\n2935 13568\n9384 13862\n7284 12717\n1424 3872\n11751 13256\n3003 14453\n5705 6910\n7579 14541\n4553 6139\n5684 12525\n2454 5096\n4517 5723\n12089 15271\n12757 13755\n1157 13723\n30 12340\n1627 6635\n5724 15068\n13765 14891\n6090 7703\n6771 14471\n3435 7438\n313 696\n1738 6251\n10016 13282\n12912 14116\n1524 6078\n5511 13919\n11307 12741\n196 4382\n3952 5816\n92 4207\n6266 12201\n4277 13886\n9781 11673\n6887 7651\n1617 11639\n8316 8743\n7235 12929\n6272 9486\n11471 12626\n11977 14783\n622 12539\n3425 13847\n1024 12729\n5656 12730\n4374 9339\n4024 13935\n10586 11577\n7419 8011\n2776 13808\n3817 14047\n3552 8384\n29 6201\n4959 10844\n8802 12600\n5113 14596\n10735 10866\n3104 13148\n7944 11582\n928 12285\n1826 4130\n3290 12935\n6018 14354\n1056 1127\n7361 13289\n864 12465\n9312 10637\n10094 11004\n6792 9623\n48 6601\n7064 10121\n1740 14585\n5174 11349\n4528 11111\n8119 9595\n1559 9461\n4224 5251\n7300 9951\n334 11591\n6708 12442\n2067 9110\n12575 14889\n13619 14865\n7093 10877\n1889 14379\n3109 3384\n5764 11546\n11194 12450\n5540 9982\n702 2999\n901 1405\n5166 11480\n1518 1688\n1536 11868\n10685 14352\n8040 14736\n5051 9261\n1556 7138\n9381 12163\n3262 11121\n7020 10147\n4000 4222\n3133 6544\n1577 7416\n4568 5123\n695 2506\n5165 12257\n7724 8393\n2006 5776\n330 10876\n4194 9594\n7828 12781\n562 2946\n1830 3055\n7130 15172\n4205 11306\n4282 12495\n7171 11313\n4845 13329\n9095 9407\n3868 12512\n4737 8802\n3454 8974\n341 11433\n8230 9289\n4649 10093\n629 14515\n1320 12146\n3735 11956\n981 3857\n1236 10654\n2021 8203\n41 2015\n10579 13248\n4925 8551\n2416 11672\n10549 11273\n98 3485\n10742 13316\n7271 15264\n22 11197\n7486 11318\n601 5615\n9116 11184\n2281 4180\n10621 14920\n5613 7988\n751 10474\n1309 11378\n3250 12918\n1576 8944\n11525 13817\n2443 4495\n9142 14592\n9410 11436\n7310 8798\n5371 14668\n2854 5395\n5012 14020\n2204 7231\n2027 13548\n4371 4671\n6662 13837\n9391 11605\n249 10821\n1670 10857\n3913 12182\n7276 8463\n5019 9236\n7091 11904\n1603 5207\n9619 11186\n1013 1712\n8971 14976\n1512 7324\n9984 13438\n4587 13961\n948 13082\n2534 13686\n3108 6403\n5052 6966\n12221 13997\n1479 5505\n5432 6995\n6067 6759\n10548 13238\n8372 12796\n8926 9675\n11763 13214\n479 9074\n2923 14435\n495 3081\n5894 14674\n3210 7574\n3082 8351\n6939 14808\n3511 9540\n4998 11211\n1393 12923\n960 9210\n8191 9179\n1233 11882\n1198 13892\n2813 12978\n6226 13740\n10985 13410\n1243 8473\n4697 7807\n5291 12993\n6314 10851\n6343 8342\n2667 9345\n6981 8088\n7293 14120\n3748 5167\n38 11250\n1550 6739\n5716 7059\n2024 8389\n12095 14374\n916 6672\n12138 14863\n1172 6543\n3281 11786\n2000 11297\n4303 8543\n8910 13463\n3430 10257\n1006 7773\n3438 6807\n405 6737\n1210 12914\n1173 1581\n1530 9106\n3527 14414\n1273 9493\n9897 10283\n8030 10493\n1548 3444\n2963 13190\n3337 14942\n646 8682\n1993 14610\n9079 12233\n2202 7491\n5007 11403\n9128 14522\n3863 14196\n3547 5136\n9689 14115\n6266 14895\n4618 9958\n8126 12569\n87 12598\n3007 8903\n9213 11529\n2844 6192\n13997 15255\n6351 8845\n4998 6188\n240 1975\n55 14797\n671 6707\n13383 14680\n4595 12483\n4423 10316\n3527 5836\n350 10420\n2037 3875\n2255 9099\n5130 14730\n6392 12529\n7981 13911\n12066 14533\n8258 14773\n1041 5273\n3320 9137\n10626 14267\n5433 7771\n4389 13487\n13894 14485\n3034 5928\n322 8987\n11317 13191\n3008 7114\n8558 10530\n458 7241\n4541 11847\n1873 13583\n2971 6913\n1841 12235\n2146 14351\n2491 7535\n1715 6405\n3461 9505\n3954 11651\n2940 4608\n2875 15017\n4262 9550\n2872 14599\n5155 6403\n5386 13709\n1838 6908\n9742 14225\n2779 8170\n7768 15234\n12428 14226\n8218 11135\n8372 11586\n216 7770\n7511 14411\n3730 4699\n1004 5956\n1858 14386\n8244 14895\n967 3916\n9249 11088\n2951 14126\n6183 8143\n1798 7446\n8495 9922\n3532 12957\n3460 14632\n7381 12715\n1498 5325\n5162 12664\n3163 10422\n1450 13618\n9377 13482\n3460 13579\n10082 13577\n1504 13122\n2400 2562\n8390 14009\n3301 3443\n5185 7687\n5549 13627\n1842 12086\n4051 10798\n899 8256\n4038 8421\n190 3698\n2153 11565\n7979 10484\n265 6190\n2225 11042\n6942 8977\n4740 9334\n5003 14528\n1680 14203\n169 5512\n1124 13224\n4479 14876\n2054 4098\n4717 13243\n2954 9622\n919 6650\n11426 13061\n5005 13525\n2192 2950\n2566 9596\n129 6109\n3741 9338\n2227 13911\n10685 13028\n7811 8837\n8974 14757\n1587 2793\n3345 14625\n10125 12107\n3758 11479\n7757 8095\n9262 11618\n4939 13671\n9212 9332\n1533 14054\n8556 9973\n1860 2532\n4391 12360\n4566 8220\n559 6361\n7888 10576\n711 8424\n7573 15238\n1592 8280\n611 4233\n2660 8223\n3421 13973\n492 3371\n839 930\n2217 4983\n6282 9988\n1034 8093\n1840 10927\n707 12576\n11838 13810\n9992 14210\n8066 12168\n5913 13458\n10774 13364\n4215 7768\n233 4685\n3520 10751\n3562 7163\n2580 13770\n6888 11502\n4526 5133\n1792 3919\n9649 14483\n5428 8736\n5547 13389\n8873 9313\n11865 12289\n1120 3761\n2608 13544\n4029 11893\n6243 11946\n1475 10042\n4015 7353\n3293 5028\n4391 10165\n3291 5986\n4481 15169\n5614 12119\n2275 13720\n8010 14343\n4698 5185\n12749 15304\n3957 14431\n5718 13616\n1558 4563\n2480 4642\n4291 14526\n3029 13329\n1221 4282\n9890 12622\n3267 9527\n5938 14768\n11774 14745\n457 634\n7300 10102\n4538 10486\n6207 8217\n74 13437\n3520 10322\n9845 11215\n4786 10709\n11172 12948\n11059 12347\n4322 13355\n3871 15254\n4119 10816\n1026 10025\n6638 10670\n4519 15245\n5818 7869\n3383 14110\n7266 11616\n8102 9766\n3397 14505\n662 8941\n3461 11086\n3537 11681\n8604 13559\n3064 3421\n1691 6197\n8797 9111\n3198 8895\n2016 8258\n3719 9720\n1028 10282\n2649 10165\n2427 9873\n1111 4861\n7093 14671\n327 2616\n11844 14430\n13687 14090\n7130 14677\n2038 10426\n9530 13743\n736 2719\n1678 9166\n9291 9938\n4937 12247\n3300 5866\n6775 11063\n99 2302\n3105 12679\n2898 10354\n7956 8663\n4381 9541\n1407 8504\n4478 13592\n8635 9114\n3862 5046\n6941 7670\n11033 15217\n7710 9230\n216 11487\n3634 5736\n5105 5909\n4471 15159\n3427 6665\n795 5568\n2028 9270\n13443 14211\n264 14959\n6393 12159\n849 4421\n2962 9020\n4209 13991\n794 13864\n8445 9675\n6600 7201\n10963 13673\n5332 13864\n7231 14747\n8529 12368\n13296 13671\n8594 8935\n9461 9684\n3284 11035\n3165 4164\n1514 8411\n7409 10105\n2959 3398\n7146 8762\n3198 11317\n5187 10343\n3525 3827\n740 11853\n8934 10666\n9589 12504\n1112 11952\n11295 14818\n1733 10797\n8270 10754\n5144 5745\n5542 11137\n650 10701\n5203 10878\n6374 14511\n3632 13359\n407 2125\n11752 13271\n10266 14608\n4673 11617\n4690 11597\n7935 11194\n3337 12744\n4995 13056\n4797 6631\n9756 9823\n1151 9757\n711 11284\n4114 7338\n7668 11407\n1047 5376\n13008 15284\n2854 6774\n11103 13762\n4949 6292\n551 9586\n219 5012\n8106 10125\n8055 14734\n10239 11356\n5886 6668\n5184 5662\n2515 14127\n21 14931\n1974 15287\n14004 14263\n3487 4540\n10577 13244\n5844 9117\n5203 9371\n620 7485\n3048 12180\n2144 7507\n1151 6539\n11066 13920\n13495 14917\n1766 10216\n5099 10037\n6321 13668\n6993 13441\n6626 10660\n501 15200\n12736 14172\n8425 14404\n4689 7422\n1260 13589\n4656 9447\n11048 11529\n3666 4124\n645 13449\n330 11305\n3039 5783\n2945 7981\n536 4105\n7805 10615\n2502 7053\n6748 12868\n9614 15118\n3924 6471\n929 2896\n799 835\n6038 12847\n4367 14143\n1165 7162\n6117 6307\n8919 11998\n750 4720\n5697 6549\n1429 7761\n9934 11516\n3228 6690\n14046 14104\n3149 7153\n5962 14267\n2742 4488\n6631 12594\n1390 2122\n620 13055\n6433 13624\n8827 9367\n1466 13339\n9921 12053\n3244 12748\n544 2373\n2210 9375\n10634 11607\n1691 9428\n2671 10643\n6917 9500\n2806 5240\n1216 12967\n792 14230\n6757 8382\n6944 11432\n4698 13252\n13644 14858\n7492 12731\n1336 8330\n6854 15213\n10815 13298\n8181 11230\n5655 12373\n1139 6168\n3047 8202\n991 10523\n5145 7556\n3299 5122\n6681 7398\n1292 11433\n4716 13699\n10594 11175\n2697 14264\n5900 12380\n6289 12225\n8259 9052\n1827 13035\n9363 13844\n2555 8958\n4187 10590\n575 5023\n3955 7487\n1494 11336\n12781 15031\n6288 13575\n7902 10424\n7574 14829\n1167 10309\n4560 15117\n6085 11408\n4012 14441\n1038 14945\n8406 12155\n8980 9610\n1470 12406\n7453 8968\n6340 8408\n7401 8851\n1365 14847\n3645 6787\n3873 11162\n2691 6491\n5011 14269\n4237 7523\n7597 11936\n7258 15110\n1432 3468\n1540 13370\n5182 10267\n6217 14412\n1418 8258\n3368 13041\n6348 11995\n13954 14412\n2630 11179\n4599 5246\n2295 4641\n11232 14579\n2333 7694\n6491 11121\n6977 12341\n7376 8997\n11984 13322\n8630 10572\n14432 14436\n1277 12896\n1488 2402\n3034 5407\n5557 7407\n10015 14892\n8672 12798\n10024 13714\n8580 12816\n2404 8574\n2264 4913\n8658 9770\n1138 12057\n722 2814\n3245 4421\n10730 14469\n1015 9291\n1011 11834\n4968 7323\n714 10211\n6933 11501\n5329 10469\n21 4145\n8954 14472\n14103 14285\n3900 9493\n9456 12911\n2297 4416\n2137 11511\n5826 12018\n12686 14208\n2553 14945\n2197 7893\n5621 6099\n222 2789\n944 13239\n266 12389\n4105 14700\n7081 14034\n2867 11319\n4647 9826\n5966 13903\n7189 7437\n656 5278\n945 11783\n9841 10177\n1058 3780\n6755 12900\n5167 10051\n1334 10223\n6552 9062\n4600 13517\n5561 9892\n1188 4239\n8537 8651\n8372 12972\n13060 13469\n1506 10417\n8216 14936\n9952 14616\n12067 14694\n5300 9735\n1641 14565\n210 3872\n682 8961\n925 14964\n2058 3111\n946 8079\n7324 15022\n10559 14981\n7889 15056\n4192 5039\n8052 8715\n3184 3198\n8216 11879\n106 12646\n1004 2636\n9446 9758\n10951 14222\n12440 14385\n11096 15185\n6265 14799\n1059 10129\n1190 11665\n13300 14643\n8461 13850\n5691 12397\n804 5941\n673 5709\n931 12357\n7926 14307\n8837 11575\n12056 14310\n6749 7120\n1856 6692\n5267 5765\n775 3694\n6475 13390\n7943 14637\n2445 7993\n4044 9368\n5674 14099\n5233 5378\n1410 3764\n3636 7786\n2290 2924\n9275 14361\n1814 3261\n820 13945\n3336 10553\n4019 11093\n845 13139\n10498 11122\n2761 4996\n1795 10029\n4672 6228\n11315 14589\n3079 6388\n6191 8150\n10045 14253\n11218 13342\n1903 6125\n2498 7923\n4975 10529\n3481 12643\n2260 10930\n1570 14007\n4177 7393\n3352 9976\n3613 13864\n3042 13576\n700 5955\n3146 7691\n3860 12295\n8784 12874\n9458 14947\n10532 14862\n9947 14967\n13424 14979\n7305 14237\n614 2225\n11509 14372\n12046 13734\n7696 13082\n7232 10962\n456 8599\n3255 8948\n6431 12137\n1453 12700\n12372 13866\n2044 9438\n921 2253\n5838 14705\n947 2118\n218 9700\n182 13693\n3947 11127\n24 7105\n2149 14718\n9922 12531\n4541 9938\n5728 8754\n9102 14208\n9022 10891\n8518 12079\n3684 3935\n8208 14724\n4527 11245\n9475 11525\n12473 14839\n3872 4681\n4151 8007\n3664 11183\n7587 9040\n4785 8520\n1769 4396\n1662 2152\n10000 11919\n3253 3573\n1116 7289\n11388 11450\n3708 13043\n2090 5351\n2465 9130\n4138 9344\n6799 9114\n699 4423\n1222 12474\n6317 14802\n11843 14178\n1364 10893\n747 9414\n1116 12026\n5304 10810\n8155 13688\n8285 10453\n5079 14174\n11779 13037\n4555 7625\n4470 6356\n4782 11566\n1870 2981\n9431 13224\n4367 14268\n2074 10799\n189 7172\n4364 5315\n269 6158\n5915 11953\n13632 14761\n7955 8187\n7280 12464\n409 8481\n5945 7362\n4989 6918\n1713 11329\n5258 11196\n7878 8768\n3879 9756\n10180 13993\n4279 7402\n11389 12877\n2761 10520\n3771 3874\n7804 15089\n2339 14658\n1078 5028\n877 8314\n2917 2961\n11713 12209\n12551 14041\n925 3974\n3125 3491\n839 11697\n4718 12521\n2798 8281\n7424 9127\n6575 10751\n4254 15026\n2421 8069\n4024 10009\n8609 14258\n5321 10894\n11855 15239\n2236 8704\n2063 14538\n3714 5011\n7440 12526\n10677 11755\n8295 12833\n9471 9534\n629 7023\n7067 10468\n5078 9389\n903 11525\n13711 13969\n4228 14179\n3574 8387\n6212 13220\n8186 8290\n11059 14549\n11124 13743\n6985 10823\n536 11904\n5025 12258\n4567 8943\n163 13609\n3370 14679\n436 9517\n6941 9452\n2597 12950\n514 13004\n2831 4291\n5392 9399\n3730 4402\n7738 8172\n138 14626\n797 10798\n1050 8902\n1203 15163\n7122 14512\n57 12139\n3458 13808\n1306 9676\n11992 14258\n2882 14801\n3181 5342\n10027 14103\n7399 14141\n155 7070\n3406 10930\n593 6348\n2133 6235\n5613 11052\n702 3908\n1161 14493\n13478 14414\n1430 14814\n11876 12242\n3367 11888\n2100 7116\n1304 9870\n5094 11895\n4719 6593\n8283 8682\n6557 11053\n2367 10079\n4612 12801\n3150 13749\n1230 8629\n2529 5162\n4704 4797\n14255 14650\n4552 11231\n5737 10072\n5996 10903\n11960 13476\n6520 8129\n11962 14429\n7824 9907\n7371 11759\n954 10555\n11706 15081\n421 10228\n5381 9148\n8543 11482\n298 13842\n1157 5973\n341 2274\n857 6064\n8020 11499\n12734 13758\n11782 14950\n1980 2790\n8886 15130\n3246 12503\n1042 3219\n2105 3671\n1158 15189\n11629 12074\n6545 13368\n11914 13355\n25 12056\n5192 14126\n2121 12975\n4153 13118\n1727 12453\n2699 13446\n152 13618\n2242 10433\n118 910\n5424 13810\n3562 12703\n5273 9454\n2583 6415\n7910 13272\n9876 13826\n5299 11175\n4246 12908\n8868 11107\n3647 9713\n1622 5661\n155 1664\n8914 10329\n7807 9127\n939 13206\n281 7220\n2753 3702\n5825 14479\n758 5737\n7080 8670\n5212 10368\n3963 7232\n4531 11919\n296 3139\n10132 13823\n3535 7045\n1477 6200\n212 4570\n4823 12553\n8926 15046\n6122 8076\n7326 7389\n10353 14441\n1150 14728\n8711 13554\n1030 14309\n1379 2891\n5400 12086\n1780 2133\n1770 4394\n659 12332\n8421 14559\n5161 6149\n3550 8605\n2746 11432\n6772 12109\n4702 12011\n2361 10063\n5189 13089\n6760 14434\n12310 15092\n6074 12888\n9580 13591\n1716 7006\n3611 12391\n3616 5235\n3779 9816\n886 3024\n7534 10341\n14393 15164\n4179 11862\n828 5081\n7677 14255\n10242 14975\n2489 10688\n10394 13699\n791 7557\n8977 13106\n4737 14000\n3017 6293\n11991 15266\n9359 14960\n2639 6842\n2342 8029\n9403 11559\n4203 11990\n6414 12695\n2308 10213\n7048 8756\n2552 12079\n759 13953\n1550 10151\n4495 10797\n7149 15240\n13753 15151\n3762 7667\n966 3702\n5199 6015\n10833 14379\n928 1298\n9866 11867\n3636 13900\n522 6220\n620 11742\n4858 9653\n10020 13051\n7188 8333\n1520 7782\n5535 9314\n9651 11519\n2421 12406\n1764 4089\n10898 10963\n4665 5333\n4668 10291\n3756 11553\n11026 13200\n629 7003\n5197 13042\n9678 13477\n7894 10238\n995 9264\n2427 5427\n6247 12193\n9209 12081\n697 12986\n2646 5902\n170 3493\n5243 13227\n8264 11106\n2833 12698\n3920 11337\n53 14438\n10436 14964\n13157 14056\n4419 9931\n4377 5864\n7041 8333\n6641 8312\n14039 14212\n677 4759\n529 7785\n1050 6153\n5944 11217\n13168 13465\n2642 5178\n5663 10188\n6777 7073\n5216 10572\n4355 7731\n13569 15167\n10886 15096\n2637 10448\n9316 13222\n528 3465\n509 8205\n3254 6405\n11041 11759\n3511 11499\n4226 4557\n8619 13844\n5387 7423\n356 402\n5137 11218\n321 5105\n9691 12672\n8999 13241\n8620 13175\n4554 8911\n8039 10341\n207 1317\n6116 7456\n13352 13531\n3763 6759\n12388 12788\n599 7358\n9086 13434\n5250 7036\n657 3856\n11041 13269\n6449 11572\n2513 13462\n1005 1959\n8168 8534\n11205 11333\n3836 7700\n8437 12920\n2803 11360\n5626 7027\n23 172\n6940 13270\n3808 7372\n11062 12693\n5911 8811\n2352 5204\n205 4670\n9021 14510\n1607 13948\n4669 5923\n764 2482\n5407 13204\n4769 11342\n2872 12554\n1273 8105\n10555 14223\n6563 9224\n1514 11781\n418 3903\n2521 5111\n6615 12093\n5107 11462\n7881 13413\n6577 10399\n13122 15166\n4690 14727\n7833 11500\n1087 9819\n4616 8624\n10679 13618\n4919 5830\n5656 14145\n943 1927\n5468 6085\n4111 6939\n5798 14575\n10040 10138\n13095 13700\n1928 5711\n3671 13351\n9130 10746\n7228 14023\n1120 14257\n11502 13073\n12946 13856\n5825 8804\n2653 3872\n8241 12175\n5333 10561\n2792 9748\n13093 14773\n3907 13016\n8587 10397\n2018 10094\n2555 8322\n5386 14576\n1799 14760\n11338 12331\n2677 9390\n542 7189\n6226 10998\n4658 6219\n2053 7392\n1788 14310\n4211 6172\n1350 3683\n12991 13470\n1846 9100\n276 14224\n2836 10135\n11546 13970\n1036 14690\n887 8916\n789 9154\n1265 5873\n2854 10835\n9863 13357\n8393 15171\n7831 11136\n1741 12243\n8677 11538\n3080 4570\n7162 13548\n2507 7007\n173 12868\n9802 11267\n4077 8918\n438 10274\n6903 12523\n3855 4454\n8854 13338\n64 12275\n3462 3617\n4147 5771\n11583 13910\n5604 7709\n2493 14069\n738 8406\n8741 14426\n6283 11680\n4202 8986\n12859 13762\n3689 7538\n11786 12370\n2179 12582\n1937 2654\n361 12647\n6991 14257\n4951 7779\n11509 13636\n12555 15238\n5854 7482\n3920 4137\n10283 15214\n8818 11356\n2295 8336\n7133 9017\n1312 4845\n9554 10812\n1706 8851\n878 11577\n562 12179\n5349 14084\n7863 9608\n2937 15130\n4452 7222\n1842 13115\n2350 4212\n4383 11270\n7097 13349\n70 2047\n156 676\n1131 2022\n2011 9119\n1233 6507\n8737 12733\n7156 12099\n5365 12116\n4964 13209\n700 11830\n239 10880\n10109 10285\n2716 4147\n6917 7371\n7802 9476\n5415 8150\n9529 9982\n12446 14234\n3202 6383\n3260 11320\n3056 5406\n1681 11815\n2102 6168\n6049 6371\n3074 10177\n2837 12841\n316 7614\n8600 9015\n3752 10144\n481 3874\n9732 10250\n1888 12543\n6745 14761\n1460 13302\n2250 5360\n3887 10762\n12651 14596\n8770 14498\n6327 8317\n9555 13483\n9148 12997\n6559 14371\n282 1391\n9149 14405\n8437 10661\n5416 5844\n2282 9123\n9029 11466\n2149 12732\n5310 13726\n198 8101\n532 12670\n10450 14940\n2865 11950\n8085 12071\n5093 6705\n8934 9129\n3544 12547\n831 7530\n10529 12715\n8846 14544\n1181 13926\n9429 11875\n3413 3457\n8559 10158\n13234 14272\n12124 12443\n1457 10386\n2649 14643\n763 13169\n8407 12683\n2613 7168\n1851 3418\n6444 11983\n4032 8718\n600 14124\n34 10592\n6459 13831\n8180 15169\n1050 6496\n1437 4769\n6426 9296\n4498 10807\n766 12056\n1354 11802\n7935 11969\n715 6890\n6711 13428\n1243 3101\n3810 12916\n1146 13130\n8612 11175\n6815 12937\n19 10801\n5576 13922\n8 1215\n5284 12335\n4016 13146\n1375 12677\n10359 15229\n1447 8971\n14828 14871\n4896 8033\n8772 10457\n5278 6248\n9216 14752\n3253 14220\n1528 7533\n2651 11100\n7837 11540\n1636 10808\n1969 4005\n3541 5731\n2203 6729\n7086 7137\n8351 8997\n5334 12801\n3815 6436\n11181 12081\n8652 10576\n2289 10241\n1903 11595\n9014 13951\n6367 6869\n4084 12349\n3535 4933\n1012 4894\n5345 12316\n4488 6462\n713 8060\n6649 15021\n595 929\n11311 14634\n4517 11459\n3035 4895\n2986 6975\n3820 12544\n2917 8845\n8583 8751\n6371 9790\n3914 5662\n1096 5996\n9595 14971\n10758 12369\n1429 10901\n8490 10823\n11657 12114\n4178 5204\n379 9772\n6275 9759\n3702 14246\n10625 12824\n2705 14605\n728 14665\n4288 5796\n4171 12228\n2575 4933\n3094 9069\n12652 13601\n8143 13010\n3966 13824\n3918 9702\n1127 15047\n7600 9881\n1315 11429\n10541 11394\n8451 12932\n616 11821\n3866 11330\n5832 11617\n10349 12216\n9653 9674\n1294 14666\n8765 13791\n7792 12836\n1136 11643\n742 6461\n4118 12321\n3061 6361\n7355 13835\n5040 5777\n6069 14243\n3470 11802\n9093 14753\n9823 12512\n8679 13116\n601 13878\n5622 9364\n1899 9803\n4 7626\n10454 13534\n4394 6775\n7290 10597\n3115 3907\n5049 5447\n3038 7299\n1871 2892\n5323 11276\n2151 13369\n2954 3388\n2474 2765\n11465 14101\n5256 6271\n12044 13711\n1436 12023\n12328 14141\n2736 8574\n2037 4622\n10498 12580\n10199 12398\n9649 14313\n6883 12303\n2149 12667\n8050 15283\n5146 12171\n9959 11559\n2904 6797\n2367 4077\n1237 5017\n1363 11494\n6904 7210\n5045 10593\n4351 6007\n3649 14515\n13651 13701\n9365 12046\n7883 8463\n4497 7519\n6736 6775\n1660 2907\n2611 8878\n1736 2165\n3325 14622\n4208 4213\n915 1090\n2008 5728\n6374 9137\n2315 5334\n2275 3930\n6185 14538\n2729 14030\n3001 13821\n7499 8047\n2405 2959\n6407 14773\n5396 14773\n766 15203\n10362 15018\n7946 14039\n6015 9809\n8014 11509\n6046 9155\n4988 7677\n6709 11486\n1456 7015\n9433 11368\n4699 13710\n3217 12439\n5524 13473\n8510 13568\n7633 8043\n823 10097\n1819 9047\n6752 8127\n9620 9765\n2570 3011\n1844 11633\n9434 14574\n7068 13955\n12344 13112\n284 9997\n1163 2140\n10838 10899\n4690 8734\n1 8251\n625 6260\n4342 10499\n3769 14228\n2877 14759\n4310 9998\n7210 8709\n12281 13010\n2877 14697\n4905 15071\n1987 14652\n307 12003\n1401 3559\n465 6455\n8501 14868\n8160 8161\n8026 10976\n5303 8917\n7411 10701\n9417 14812\n4949 5244\n7056 15028\n1588 7614\n9781 15251\n1414 14740\n7450 14013\n1698 12107\n2515 11176\n2735 3245\n8018 14257\n11240 14391\n4803 7293\n5608 12089\n4746 7017\n1682 1867\n2323 5391\n6634 10106\n3060 11999\n2015 5628\n373 2876\n5180 14911\n8661 9944\n7989 15186\n12909 13814\n6023 13136\n11959 13314\n7629 11626\n3543 5057\n3022 9140\n4347 10960\n312 1119\n5399 6049\n104 6181\n5876 10735\n2527 6792\n9477 14315\n7301 9995\n3620 10086\n5977 9209\n548 15239\n369 2314\n559 10164\n8634 12420\n2783 14997\n974 10466\n1473 9659\n2221 6825\n7125 12877\n4915 11314\n13224 14878\n6288 8080\n8031 12581\n7329 10555\n7445 13282\n7580 14179\n2974 12126\n1667 13840\n932 6922\n12956 13037\n3366 9415\n11054 14932\n9503 11759\n12920 15265\n11263 11981\n6247 6553\n3720 9338\n507 15251\n5092 13458\n1027 2502\n4020 12881\n2400 13204\n7027 10708\n10486 10786\n2005 11241\n4302 4919\n3072 13244\n2991 5913\n2528 5972\n4122 14424\n545 5284\n9482 14799\n5958 13372\n8915 9514\n2954 3476\n7092 10438\n4708 14955\n2044 2780\n9885 15057\n4203 11457\n7316 13431\n3288 13660\n713 6576\n6742 13871\n551 4407\n3427 9357\n3595 13970\n2754 10541\n637 4475\n2928 12403\n11131 14854\n3370 14674\n2835 3929\n2083 13995\n11735 13984\n1700 9067\n2794 5773\n2904 4453\n2399 7251\n455 3742\n2670 3405\n9055 11983\n7361 14749\n5282 15088\n8980 13916\n1633 11598\n7757 15040\n1017 8792\n541 8277\n10553 12044\n9117 9638\n9686 14003\n11723 13025\n8634 14651\n3221 5342\n8672 12501\n1644 4664\n5847 13876\n3335 10117\n3629 13168\n8969 9417\n1127 9105\n10607 14855\n3785 14289\n3977 8609\n6468 14035\n2583 14634\n464 10770\n6109 6482\n8145 11357\n916 4625\n5008 14076\n14508 14627\n8402 9307\n6572 11180\n2873 10121\n3358 12389\n1630 3358\n4789 9280\n6286 13947\n1266 10045\n644 9740\n6443 6897\n7940 8294\n5949 10043\n6912 14112\n5930 13791\n5465 7171\n5194 9276\n9935 10602\n1348 9842\n7099 12143\n3960 14741\n2821 7255\n2770 2810\n10994 11962\n646 10611\n4714 7020\n5248 9625\n8730 9387\n8157 10131\n4383 14498\n5108 5140\n7911 13088\n945 10457\n3724 10044\n6251 13249\n4420 13226\n9260 14234\n1696 11702\n8664 14999\n9728 12341\n12301 14824\n2633 4179\n5726 6383\n7327 8605\n993 9493\n5436 8954\n1551 13682\n6970 8048\n8085 8095\n5849 8441\n8598 13043\n3201 6824\n7430 9533\n24 510\n8061 10741\n3373 12559\n6891 11253\n8367 9865\n5448 9354\n6767 11744\n381 9281\n11762 12828\n3360 4280\n1814 14287\n13229 13949\n4164 14345\n2231 8851\n946 6344\n303 13817\n293 13209\n986 13025\n2266 10791\n6835 14751\n3251 14983\n10453 14770\n2147 5073\n6884 10023\n6809 12412\n4633 13314\n7461 11113\n5932 8407\n3928 11153\n829 2325\n6063 12556\n8251 9231\n1189 13421\n7715 10386\n1699 10063\n2067 11461\n4314 11245\n5468 6658\n6667 7531\n9781 12128\n10224 14964\n1524 12653\n4787 14395\n8399 12572\n11575 14935\n242 3775\n85 13280\n1743 7910\n6217 11080\n1793 4201\n1458 12577\n1080 7072\n732 1615\n477 11877\n2792 12812\n8021 12236\n3714 15151\n292 3806\n1638 3327\n1208 7384\n3860 7472\n12279 15259\n10792 15191\n503 3502\n4878 15142\n7334 10898\n4969 6569\n4693 14221\n6687 12315\n201 10089\n8565 9368\n5168 13967\n1640 9058\n4294 12592\n11758 12998\n965 12337\n8541 10185\n370 4700\n8728 13921\n7992 13453\n6428 7076\n1229 3192\n9638 9920\n6978 13033\n10405 10771\n1331 14279\n9621 12843\n1954 15198\n2419 5007\n6722 9597\n12335 13327\n6661 13620\n2269 9131\n22 6752\n13071 13244\n4774 5448\n10267 15265\n329 14896\n7464 9590\n991 12754\n2470 8203\n13176 14671\n41 13429\n5783 6955\n1572 15030\n2750 13534\n4344 12717\n5133 11902\n9183 13394\n5312 6128\n1592 7891\n4814 14385\n9548 12011\n4587 11016\n1627 2623\n738 12661\n6877 7465\n6830 14127\n619 4789\n5961 6772\n4144 9230\n1783 8719\n2455 5576\n9447 13261\n7505 9081\n11378 13840\n2411 8627\n10805 11990\n4504 8103\n8312 10328\n7213 7636\n8255 12213\n7847 12006\n1456 15141\n4692 7626\n9230 14785\n9918 12511\n3689 9135\n5020 12599\n11353 13655\n13542 14158\n698 3567\n13194 14415\n11906 12519\n6121 15245\n4453 5329\n6190 7830\n6591 10860\n6511 7599\n6887 12582\n8872 12838\n138 13918\n11756 13995\n3258 12765\n2458 4190\n1520 15224\n6806 7918\n13618 14054\n11425 13887\n13786 14066\n420 4065\n8776 15291\n995 14344\n5828 7667\n3829 10588\n2588 15140\n7744 8982\n6636 14550\n1843 11222\n64 8147\n9363 10499\n8956 14533\n4415 6387\n10424 13082\n6904 7149\n1726 2727\n34 3159\n2628 12614\n1514 1965\n1432 7831\n3766 14543\n5682 12744\n7458 7920\n91 6268\n4353 6560\n11349 13695\n4655 9566\n5500 6960\n7445 8061\n2366 9002\n8093 8272\n1997 13463\n777 11035\n2442 8167\n12871 14858\n3191 4581\n290 1937\n548 2722\n9334 13767\n1016 3478\n13110 14029\n11967 14613\n4588 10236\n8132 8644\n1661 2447\n11186 14530\n7513 12716\n7968 13481\n5741 12904\n13503 14520\n5798 9775\n11080 12041\n575 5420\n11507 11595\n2469 10786\n661 5720\n290 7400\n738 7395\n8515 10943\n216 7722\n13444 15076\n1041 14084\n11662 13673\n6425 13678\n5654 15247\n4469 9895\n10492 12070\n6291 14719\n3420 12563\n1853 5900\n6623 9794\n3917 6110\n1886 7230\n1407 2076\n4070 13166\n10835 14929\n597 2921\n4421 15037\n7545 8695\n2 12955\n3208 5362\n9518 12510\n10758 12955\n4497 12715\n8819 12743\n1229 3944\n565 8546\n5535 10323\n9168 9775\n4715 11895\n4938 14380\n5699 7371\n512 5447\n4474 10516\n6473 11850\n9128 11750\n196 4496\n10175 14813\n10438 11025\n8105 12504\n3318 13037\n13255 13979\n12460 14293\n7250 14226\n685 11710\n793 12866\n204 4045\n3375 10903\n2128 10806\n4987 13574\n7544 10843\n2372 10368\n11973 11993\n6817 10020\n8606 14869\n1951 8814\n10351 10618\n3830 5511\n7305 9047\n6305 12748\n2087 9663\n4880 6502\n12350 14356\n8358 8727\n9110 10167\n3287 5571\n3742 12480\n6387 15165\n9489 14025\n2364 12580\n7595 11662\n1423 3521\n5726 12488\n5835 10383\n4337 9541\n7915 11301\n13829 14640\n14162 14376\n11683 14918\n8881 11771\n12167 15173\n3451 14993\n8545 14063\n6615 8838\n11621 13542\n304 15297\n205 10948\n3497 8994\n3850 8417\n5851 13033\n5333 7331\n8260 13762\n9759 13809\n5604 11798\n4864 8805\n6510 8152\n3267 14305\n10837 13970\n2478 12514\n8219 9909\n11242 14814\n3288 15113\n3884 11392\n2284 4305\n9646 11719\n5877 6095\n3355 13380\n1874 13810\n6013 12523\n8212 13296\n5053 11999\n6700 11779\n3202 15278\n383 14760\n9248 14591\n8562 11785\n2380 8234\n8435 11555\n471 13189\n4104 9928\n3468 12778\n3672 12262\n1613 9204\n4149 10361\n2394 5106\n4075 12507\n2726 3926\n645 8398\n9752 13263\n4024 14931\n4553 6109\n11141 15167\n9533 9755\n3131 11402\n3514 11030\n3247 9566\n6165 12909\n4365 11372\n171 13795\n1303 2491\n6678 10883\n1100 4770\n7808 11378\n571 3483\n705 8220\n585 11914\n2272 5061\n6196 9029\n6901 13620\n10649 13263\n1325 8078\n5346 9886\n1572 3714\n5344 8591\n10096 10859\n3339 8430\n2379 10164\n3699 14340\n1109 3205\n12421 14224\n11132 11415\n2349 8703\n10273 10336\n3265 5019\n6485 9985\n7023 9267\n7075 10206\n4065 6006\n7419 8122\n7339 13034\n11270 13084\n2297 4568\n6061 14167\n8960 11134\n8821 8836\n5152 14081\n1065 11462\n6913 14656\n2442 11516\n596 7892\n9447 13436\n1141 7144\n12 4226\n3031 9680\n3896 7715\n778 14722\n3852 11309\n9007 15069\n2499 11039\n6193 13881\n6082 9105\n10619 14887\n2722 8976\n8924 11005\n9609 12790\n9311 14521\n8229 10437\n2801 9311\n4789 8065\n5355 5527\n3452 11876\n1076 11113\n11579 14434\n1337 8734\n11116 14029\n1608 5762\n4579 14575\n230 15296\n2897 4107\n406 1655\n10644 13014\n11687 14757\n114 7380\n722 14219\n4685 11810\n3029 11871\n7702 9604\n3196 10522\n46 11366\n3344 12254\n11975 14713\n5611 10311\n1341 6942\n4537 5587\n7014 12404\n1 13492\n7697 14651\n6821 13729\n7274 10069\n4123 8329\n10781 14360\n2175 5693\n6899 14508\n11503 11560\n4456 5410\n7851 10671\n1342 2411\n1303 10617\n6180 7574\n2491 2789\n3428 6518\n89 6047\n1688 13533\n4469 9277\n6970 10861\n9162 14948\n785 13549\n231 5315\n5425 5548\n5186 12253\n849 1075\n9354 12411\n8664 10151\n10262 15230\n278 12982\n13019 14606\n9853 11345\n3611 14439\n9325 13731\n3474 6358\n2415 5551\n1685 10167\n14464 14589\n2968 10233\n4974 13348\n6928 12915\n7223 14150\n1692 9725\n2005 2917\n562 11559\n3822 13960\n224 1192\n3068 12801\n12815 14077\n1511 5990\n6513 15224\n737 4761\n3017 9714\n5372 10594\n1625 12933\n5870 11355\n10634 15246\n1712 2040\n2773 13087\n10734 11452\n668 5468\n487 3459\n1038 13946\n11758 11953\n1824 6334\n4079 8426\n2485 2955\n906 11563\n8877 14635\n5307 8938\n9781 11524\n420 3724\n2416 10686\n144 8843\n1677 2957\n5631 5990\n3239 5755\n1017 9586\n1059 8047\n331 3863\n3413 14644\n7590 13817\n1888 9372\n1342 3209\n3553 5903\n4308 12217\n8407 14291\n3665 8330\n7559 9157\n8405 11832\n8917 10077\n4594 7560\n1493 2092\n1529 2522\n1990 14350\n1013 5110\n11507 12577\n6776 14699\n7613 12993\n47 6535\n5074 14317\n1779 4469\n98 5342\n5989 7239\n8200 14940\n1674 8929\n3397 4316\n4096 6422\n1997 7823\n1595 12832\n4336 15240\n3876 6565\n3438 5443\n7057 8348\n7984 9915\n11293 15040\n513 14129\n6052 6855\n1741 10493\n6035 8649\n5582 8967\n2908 3000\n2170 14980\n2315 7178\n9110 14472\n687 14388\n2344 8233\n45 8416\n8429 14444\n7358 14305\n10519 10982\n1783 8516\n5004 6016\n10881 12771\n2451 11340\n8612 11920\n10069 10536\n1778 7813\n1395 6945\n7238 12787\n527 2370\n5212 14292\n505 12110\n1063 6892\n4058 8812\n4022 14923\n4894 13252\n10149 11677\n4736 15139\n3420 12352\n308 14482\n10653 11356\n6551 13727\n6994 12086\n10774 13615\n1658 14177\n2506 11331\n455 6829\n1529 4210\n3320 12514\n1248 14052\n1285 3584\n1387 12345\n11171 12216\n5712 7571\n4238 10827\n11467 11533\n116 10951\n1208 12420\n5713 6496\n3206 7789\n2506 10877\n6015 9497\n11 1523\n845 6512\n1271 3987\n2932 4924\n2515 10929\n11770 14631\n5665 13294\n6868 10952\n5933 10530\n11368 13335\n9391 11258\n2268 8616\n7940 11508\n11785 14597\n10503 10854\n5717 14008\n13650 13839\n8452 13300\n10489 15161\n5666 11737\n4442 12022\n3094 5316\n2284 5905\n5625 12949\n3150 14689\n2877 5024\n1482 10011\n2928 6078\n1041 12316\n8061 12944\n9839 10305\n3496 5783\n5184 8662\n312 1789\n10083 13352\n4798 12010\n5388 10669\n1848 7266\n2730 8853\n5792 14395\n5629 6967\n4418 6188\n2008 8271\n3193 9514\n10310 11907\n1166 10483\n6153 7365\n8580 14696\n2324 10243\n2188 6191\n5088 6897\n9507 9661\n4184 8707\n1991 6271\n3221 13063\n660 816\n3454 15122\n7955 8305\n3455 3612\n1463 4295\n9066 14932\n1823 11535\n3485 6540\n2071 10577\n1876 6068\n7474 12842\n1121 8486\n5643 11814\n12382 15145\n4393 5869\n12015 13563\n2276 14917\n5257 7282\n646 5852\n6654 10328\n6027 12877\n1133 12088\n7573 13576\n4036 12198\n2116 9753\n10886 14517\n3145 11232\n1848 13322\n8625 14394\n984 8824\n1640 9045\n4157 7243\n2765 2895\n10490 12445\n2495 8010\n12820 13511\n32 6673\n12026 12835\n1894 5692\n9444 10247\n9725 14119\n3083 7570\n3705 5819\n5603 13061\n2837 4478\n87 6889\n1121 8868\n9204 10478\n6918 12528\n8587 10792\n3864 4328\n9387 11462\n11099 13202\n6563 11080\n7703 11644\n9922 11581\n1039 5982\n8751 8981\n4577 7199\n6480 8862\n997 2762\n2821 5675\n3307 7726\n9975 11562\n5228 14288\n12989 14539\n2295 12819\n126 10492\n8293 10431\n3484 11509\n626 10678\n2259 8241\n4017 11689\n10571 13874\n3484 8608\n6563 10424\n8989 10539\n4690 5597\n1564 1648\n4191 10223\n4203 7447\n2226 14392\n428 10915\n10498 14238\n8642 10329\n3763 6444\n9555 10525\n255 9222\n4983 13120\n98 2141\n649 5900\n2604 13173\n2063 13162\n968 4278\n330 13148\n5650 12522\n3045 13000\n6512 8735\n2005 10969\n10556 12818\n4773 15156\n11214 14184\n8276 13032\n9128 13939\n6280 11039\n3458 14054\n1092 8256\n3361 5016\n318 2007\n1309 11982\n2766 12246\n2762 12614\n2952 9756\n9261 14325\n534 14755\n1055 6539\n9587 13525\n3039 13891\n12255 13864\n3250 6864\n2045 6318\n7314 10220\n14974 15000\n5148 10566\n5519 12408\n1842 2439\n8102 12865\n727 7489\n1312 2465\n7158 14615\n355 5047\n5645 13450\n12282 14100\n3967 12025\n9143 10185\n7119 8628\n8507 13162\n500 6382\n1780 11746\n669 13066\n10851 12809\n826 8170\n3588 7672\n3173 13821\n5329 8819\n5437 14840\n10051 15174\n8972 10346\n7385 13718\n5660 13836\n3530 8586\n8236 13338\n7441 8912\n9668 10806\n1427 11610\n10184 13582\n7476 10157\n4356 15147\n6533 13241\n653 2110\n9504 14597\n1378 7257\n2593 12928\n617 12715\n4974 12361\n9212 12632\n6919 12567\n8660 12512\n2132 10966\n4137 10231\n7643 15110\n725 807\n7134 9153\n4002 8861\n8359 14612\n2026 4156\n6068 11278\n3787 8496\n4879 11214\n5796 9192\n2191 11479\n1050 4540\n6437 10472\n8409 15267\n6649 14498\n5807 13609\n6091 6184\n942 10672\n1187 11802\n4388 5870\n3701 11325\n2738 5096\n6368 12104\n4526 8561\n9253 10552\n4395 10255\n656 8583\n6797 10664\n3575 7725\n6286 12555\n4708 4769\n10800 11473\n2751 12598\n7084 12293\n546 8276\n9926 12335\n11675 13215\n1003 8919\n5004 10248\n1694 6640\n753 11529\n5401 11701\n2320 12036\n4275 7428\n8914 13209\n2441 5883\n8278 14069\n4294 13701\n3890 8740\n3632 12295\n7855 7952\n6620 13798\n6330 14074\n5691 7948\n2517 6618\n4957 12421\n3864 8144\n3559 4606\n7695 9988\n5983 13409\n11621 13165\n5634 6556\n13532 14045\n44 6366\n2716 11223\n10303 13254\n5269 13649\n6479 12477\n3252 4563\n514 4645\n2154 4471\n974 10131\n3110 8093\n9382 14168\n5969 13861\n3674 8642\n11718 15130\n7007 7641\n4507 8527\n2232 13507\n6317 10807\n2656 3293\n4871 9317\n8943 10959\n8607 15279\n9887 10036\n6547 8418\n2157 13880\n284 9656\n10338 11564\n4217 14343\n4145 7927\n1216 10565\n2107 11849\n9412 10969\n5562 10780\n4769 5109\n6333 6646\n832 3978\n115 12684\n6924 8435\n12313 14553\n12975 15200\n1025 10139\n1926 7249\n9727 13071\n3394 13728\n11783 12293\n86 10468\n5854 14437\n2139 2375\n2595 8922\n3113 8037\n7330 12436\n2795 14500\n13768 15094\n1167 4830\n10456 12225\n7265 11488\n1474 4430\n4079 14717\n4828 6041\n1724 12514\n6258 14614\n204 11711\n1903 11674\n599 9159\n3682 5057\n1366 12337\n6623 14155\n2940 4272\n14113 14661\n391 10665\n2515 7651\n8104 8740\n6398 9045\n7920 10146\n110 11841\n4124 10651\n3347 11569\n1633 2011\n2191 5224\n3917 15131\n251 5736\n11372 12507\n482 682\n833 12824\n3377 12164\n6947 12509\n4248 12416\n11180 14541\n9319 15195\n4290 9863\n5923 10467\n5314 7555\n1323 6316\n2536 10013\n1193 5487\n7779 10103\n695 4053\n4946 15102\n3111 6447\n4543 8687\n10729 13183\n195 1658\n143 4114\n3148 12933\n8144 8580\n899 8653\n860 2965\n12846 14327\n1439 1894\n1380 12084\n1079 7222\n7319 13292\n2766 12954\n5049 7753\n4104 9333\n8416 10708\n9323 10067\n8607 14946\n3496 11930\n3834 8081\n346 3808\n4671 8121\n7806 13830\n6645 9271\n4796 5776\n4025 9343\n3544 4052\n13021 14241\n1868 7708\n3648 9954\n1493 9422\n7858 13901\n5751 11872\n640 10573\n6711 13146\n2584 7001\n1968 13887\n4053 12825\n1055 8560\n6092 11164\n10537 12730\n1763 6608\n12723 13531\n2114 12000\n7308 14689\n5423 13760\n1866 3374\n11327 15091\n4073 12196\n3105 3419\n706 3177\n7077 11096\n144 11982\n2402 3240\n4224 9612\n5035 8683\n3429 12820\n1361 14631\n2181 8051\n3859 11331\n11128 13872\n2569 14892\n6361 15081\n6763 7196\n6433 13271\n2348 6646\n5608 13142\n4843 8803\n5328 11442\n1913 14947\n9635 13372\n12633 14425\n2932 4080\n1872 5025\n701 12124\n1977 14478\n3732 11907\n3039 11492\n921 4318\n4308 10916\n5998 13024\n1534 6251\n7140 10373\n1668 3276\n7149 7211\n5064 10361\n10552 10582\n1620 3868\n8837 14827\n2063 13245\n1260 13982\n1666 8553\n405 1774\n1682 7126\n4531 12692\n9964 10951\n350 5573\n6047 10448\n7064 9061\n2057 4155\n2595 9705\n1050 8793\n3032 13354\n4418 6218\n6464 11062\n8032 15071\n7870 14130\n1555 4625\n234 14553\n117 8162\n889 8162\n3477 9795\n7381 7535\n3998 8031\n2310 5173\n908 13820\n3649 13624\n6193 11397\n1577 10996\n7723 14781\n7435 14255\n8354 9232\n3984 7947\n11361 14282\n5503 7137\n1050 7327\n13975 14895\n5264 8884\n7854 14291\n208 941\n12193 12965\n1433 1752\n1020 9517\n5213 11791\n1779 5082\n2651 7231\n6983 10893\n7875 15286\n637 10395\n9110 11974\n4801 15009\n6723 13118\n3216 7447\n3334 4436\n611 2712\n1138 5239\n4983 6576\n5906 9643\n4321 10973\n2025 9905\n1560 12018\n6118 12514\n1271 11730\n6484 6649\n2105 13233\n1260 1424\n4191 6466\n1119 11100\n2084 12135\n4082 14814\n4029 11022\n3875 10573\n283 4490\n6804 11113\n4926 5224\n9322 12561\n3605 12992\n4718 11319\n4371 12904\n2233 11608\n5389 13762\n8180 14746\n7136 10887\n10648 12185\n1556 6914\n6027 15156\n6425 14918\n6091 7401\n2330 5763\n9368 10522\n755 6554\n9144 14993\n7074 12737\n4811 6364\n7333 12893\n4203 5305\n11227 11917\n6598 7527\n4765 5467\n4960 7906\n5952 7354\n3431 7533\n10353 11273\n2590 13859\n7159 13981\n1742 4208\n5129 12650\n3720 7483\n2551 2989\n2491 12524\n6939 11168\n230 11643\n4508 5300\n7185 14863\n6293 8379\n4593 9860\n10547 13766\n4348 11163\n4311 6618\n9553 10629\n3337 3632\n6036 7790\n4651 12833\n3556 9269\n3740 13302\n10391 11867\n506 11886\n6531 12827\n3625 8496\n1788 4521\n7058 11203\n4953 14880\n11007 11948\n5301 7476\n3380 5542\n7581 15033\n6877 14780\n2483 11186\n2748 6138\n5772 8120\n1737 5179\n3216 12538\n6826 10754\n6229 8293\n7743 11435\n574 11909\n2203 6262\n1283 12854\n835 5952\n9439 14584\n488 10788\n4325 4420\n5109 8161\n1215 10984\n3256 6573\n7232 12062\n2626 12814\n4341 6033\n5515 9794\n3845 4083\n6993 12856\n4237 11375\n5297 12412\n4924 7184\n6149 14928\n7198 12305\n11859 12950\n8392 13454\n1394 11243\n9120 9885\n9198 12036\n7103 14926\n6180 8978\n4931 11216\n1302 5967\n1865 7850\n421 1107\n11583 13389\n4794 14028\n6764 9454\n3948 7352\n4291 12889\n8103 9860\n7060 7834\n3491 6061\n6405 11387\n2029 8414\n9899 14005\n479 13174\n2793 5980\n5913 11681\n4123 8912\n447 10098\n2562 3027\n6495 13432\n1685 9391\n12896 14810\n7999 14846\n8237 14426\n2471 9098\n11129 13547\n5271 13903\n5659 9848\n8396 14777\n8091 11851\n1489 13486\n5642 9030\n4025 14060\n2180 13987\n3933 11032\n2366 6155\n2524 5012\n5733 10218\n11844 14154\n5685 8916\n5368 14466\n395 11588\n8157 13656\n5234 11008\n710 5724\n8913 15190\n7980 8624\n14759 14767\n851 9491\n7862 9196\n10129 12987\n6646 6701\n7261 8954\n8364 15116\n1378 6263\n7864 11387\n6892 11439\n2996 11610\n7839 8328\n3854 12193\n9086 11555\n9814 14962\n2435 7500\n3136 4456\n6964 12824\n2200 11131\n2507 13520\n2051 7211\n3609 5912\n6428 9157\n11882 14467\n5247 5518\n2730 14068\n2406 9519\n320 2592\n6983 14753\n2098 14000\n2115 3056\n1151 13651\n10809 14427\n1061 9749\n921 9492\n5500 7636\n3708 14196\n3146 8104\n8088 13401\n4814 5238\n1208 15118\n7222 15063\n12530 13084\n6525 13876\n2455 4365\n465 7787\n5067 7380\n2875 6246\n5679 13586\n1396 11926\n2949 6294\n1019 5121\n565 2643\n1577 7765\n8787 13632\n10461 14343\n1187 3952\n865 6018\n3913 9611\n5110 5677\n7307 14765\n9293 14691\n1129 5608\n8791 10054\n2709 12484\n929 5917\n3607 11607\n958 3907\n7776 11763\n13697 14093\n10419 11656\n2607 4428\n1616 7019\n11450 14386\n839 7429\n12146 15019\n10577 14858\n1192 13641\n1023 6132\n3926 15061\n1067 10708\n1591 14202\n2743 4650\n4719 9359\n5534 12385\n7197 13772\n8711 10174\n1831 4273\n4364 13510\n5422 15305\n8914 10895\n6987 13717\n8786 10710\n11998 12665\n4762 11543\n2223 6660\n4791 11283\n471 8021\n8403 10533\n5538 15099\n10413 12837\n3711 5803\n196 14012\n12589 13832\n8849 10016\n10570 14393\n1085 11161\n9391 14835\n10492 15298\n237 7876\n8913 14109\n1240 3821\n4700 6792\n805 1085\n7679 8993\n3264 9425\n3355 11897\n4201 13407\n4797 10110\n1885 11759\n2490 12059\n10106 13158\n490 9690\n468 10120\n4188 6554\n116 7733\n3796 4824\n9872 10649\n947 9288\n290 6806\n9406 9508\n3171 3752\n3779 9294\n2489 4667\n6710 12753\n1005 13657\n7669 14499\n4599 8988\n6575 12385\n188 9015\n122 9177\n5846 7278\n129 2715\n5583 11274\n4476 12806\n3386 13152\n1933 3707\n5154 10696\n9304 13295\n2578 11468\n8962 9915\n2914 9932\n7303 13963\n2108 12081\n5073 9515\n1051 9695\n224 6863\n199 415\n2096 13412\n8398 14066\n3418 14417\n821 13444\n8052 8953\n1971 4153\n1260 6586\n11161 13874\n9397 10458\n5237 11546\n4872 14996\n1941 11086\n6167 11945\n4020 15010\n4323 12867\n3010 14022\n6030 11757\n8416 13597\n3673 8946\n13353 14404\n3851 6015\n8526 11643\n7091 11610\n1385 8423\n8396 12843\n138 14653\n5943 7510\n4533 8593\n4111 14132\n1709 12100\n7468 9799\n397 5196\n9310 9580\n44 75\n4227 6978\n1083 14874\n1132 15023\n7142 11371\n1622 14188\n9158 12584\n10160 10520\n2784 9711\n1229 6365\n3563 6339\n4420 10002\n5338 14295\n2500 12852\n12842 13624\n6897 9677\n4660 9942\n10510 10928\n7484 12606\n928 6667\n3324 11560\n1368 2401\n9209 11395\n11481 13398\n5142 10529\n4460 8210\n585 9545\n7141 9994\n2776 4015\n4858 8518\n6644 10465\n5527 8564\n229 3466\n5468 11651\n7739 13922\n6969 11176\n8238 12553\n4700 13702\n2453 2467\n4610 8308\n3508 8343\n1455 10604\n3090 7157\n1836 13110\n1565 11596\n4668 8807\n547 11386\n9535 13900\n4205 15077\n2603 13960\n6030 6309\n7128 10064\n1945 8878\n6238 14139\n9744 12433\n121 13344\n9101 9883\n4674 6980\n1591 13177\n8718 12362\n4691 11793\n2564 8646\n1678 13238\n8609 10916\n9494 11599\n10025 12930\n4222 5827\n7990 10858\n31 9019\n1783 11966\n8115 8346\n2703 3429\n5311 9282\n8267 14712\n1964 10247\n9772 10554\n8209 12062\n1058 14299\n1278 14484\n3415 14338\n8085 10068\n4989 7781\n7388 14140\n12220 14863\n2456 13118\n5361 9409\n1325 10451\n1617 13584\n640 8206\n1800 9397\n4928 6603\n585 11062\n2102 4548\n7972 10623\n2482 13944\n2316 12065\n3028 10136\n3051 11891\n76 13420\n5749 6842\n1066 13920\n8680 10458\n9470 13986\n3691 5796\n5251 10042\n5054 14482\n1568 12903\n12387 14866\n1676 14155\n1947 2065\n12933 14715\n3370 9461\n1605 11586\n7701 9322\n14042 15145\n8646 15056\n2734 13490\n5423 11226\n10918 12117\n4554 14803\n3061 8593\n2533 3079\n5330 7621\n3723 12051\n6426 9612\n1396 7492\n4707 14239\n3952 6645\n6199 9831\n4172 8737\n5667 14312\n10052 13720\n5378 6552\n2783 8678\n9160 12512\n3031 13976\n4655 5750\n1528 7532\n5561 15221\n1263 14149\n747 8765\n2576 10680\n6478 10048\n8936 14128\n8376 9662\n614 15305\n4428 12519\n11040 11837\n1369 13201\n10015 13213\n6745 8967\n1035 14219\n1727 14271\n3460 8162\n6258 14760\n7212 11185\n2639 14513\n8444 14512\n3788 7209\n4408 5063\n10343 12582\n7570 11220\n6192 11697\n3236 11360\n7793 14217\n3819 6771\n10991 14635\n3466 15161\n4838 10974\n1064 2740\n5597 6261\n2699 9407\n7090 12071\n7060 14280\n2848 11750\n1798 12406\n3584 10349\n10874 11266\n14088 14866\n9397 9744\n6688 8633\n1651 5330\n8817 11434\n11739 12364\n9874 14204\n6461 14436\n10496 15138\n2483 12658\n1940 12452\n4150 10640\n1124 6591\n7526 11645\n9937 13305\n889 10015\n12941 13908\n1377 14176\n553 3489\n3835 9499\n8841 9364\n1924 2683\n8876 13386\n11951 14370\n1362 6739\n6838 10214\n879 4376\n465 1268\n123 5002\n245 4442\n7632 14466\n6811 11997\n356 1211\n6936 12845\n3402 8341\n14622 14961\n2724 3700\n5579 9052\n3437 8124\n1018 5513\n1955 11977\n14229 14317\n7663 13103\n2724 6531\n9830 10613\n974 8949\n6079 13678\n10870 11479\n8862 12516\n642 9593\n5265 10982\n14170 15123\n11511 13440\n4660 14042\n9644 12112\n5346 11884\n7049 11933\n8567 9865\n2305 10403\n6040 13223\n5075 12991\n1127 11418\n3006 11312\n4238 5705\n11293 13565\n5507 15077\n3319 3873\n2895 6148\n3264 9057\n9481 9624\n9200 9756\n11908 13557\n346 5370\n9096 13216\n7183 9146\n3395 12137\n5270 9903\n1265 3255\n307 9956\n3450 9282\n6740 13644\n6503 6815\n1191 2209\n547 6111\n9380 11427\n7350 9180\n6458 9606\n5793 8420\n12553 14659\n3143 12494\n4274 8800\n2207 11065\n12541 12776\n4268 13949\n305 9597\n6721 8566\n12814 13657\n1351 7622\n8143 12888\n6405 6623\n4427 7536\n6338 10853\n8798 13883\n11625 14951\n2758 8440\n203 3439\n1068 12170\n1728 3496\n400 12686\n6107 6715\n9259 10321\n2926 9655\n13683 14168\n9206 10410\n72 11345\n6348 8757\n8650 9287\n9484 9570\n8374 11839\n1656 11366\n8351 11254\n8320 10186\n5410 11291\n11260 13655\n6000 7049\n4192 7697\n5447 7394\n12046 14978\n2674 5580\n14511 14708\n5158 8298\n1872 3891\n4682 6042\n7906 11388\n5093 12373\n4593 10275\n3017 12057\n2191 4198\n8867 13175\n10691 13498\n950 4991\n8022 8262\n10913 13298\n333 8910\n1387 10129\n1752 6685\n12920 13509\n388 14273\n8232 9539\n60 13828\n311 11404\n5904 10870\n3016 10317\n5422 6834\n5431 6408\n246 3727\n268 13913\n9173 10225\n2634 2822\n2192 7099\n6406 7958\n1349 13051\n9102 14075\n4496 7322\n8345 9514\n1631 1962\n4686 7439\n2317 9071\n2093 13170\n6154 8846\n3663 9724\n3553 12757\n2877 6313\n8844 14752\n3589 10113\n9067 9713\n5545 5888\n4500 10122\n7971 14719\n3899 12254\n2986 14462\n7180 13197\n2257 7737\n8458 10418\n1361 3554\n3561 8247\n8043 9133\n2203 12019\n3617 14627\n275 13474\n5014 12261\n12245 14508\n4366 11046\n11584 14581\n3227 4443\n2123 13389\n6093 14049\n1409 6466\n7911 14091\n519 3609\n5056 13195\n980 6229\n617 14204\n964 13776\n4911 13570\n784 10075\n1965 6241\n4210 10646\n4236 11594\n3550 12732\n4388 10675\n6073 10237\n13057 13579\n1028 8133\n3226 4073\n530 1385\n75 12916\n1438 13547\n2834 4952\n4700 12717\n1571 14709\n9728 11420\n8252 9544\n1827 2619\n249 941\n3706 12013\n494 7205\n657 1714\n10917 13467\n3475 11858\n13225 13596\n1759 10742\n2313 14907\n8500 9519\n4963 9504\n892 12591\n2720 9853\n3319 9709\n3157 14958\n543 3282\n3831 5839\n7431 8740\n7731 9408\n5421 10449\n648 9526\n2569 8655\n12117 12570\n7832 11991\n4850 13781\n7046 11984\n3691 7669\n5235 13487\n10614 14840\n6127 13838\n785 7016\n8134 9136\n1242 13414\n2349 4915\n6553 14902\n10523 13727\n3181 15089\n7822 10435\n372 484\n458 7376\n3262 6705\n481 10050\n3086 9203\n2991 14854\n2288 12519\n2644 6436\n5214 8673\n2569 6953\n2356 11758\n7520 7659\n7362 7515\n7527 12045\n8143 13817\n2075 10234\n6016 8014\n4030 10541\n1156 9238\n2363 12498\n7780 11394\n5296 5409\n2305 10164\n8329 12921\n7030 8152\n2760 5988\n145 3761\n8043 14829\n7722 10997\n8866 13112\n13131 13222\n4179 8317\n2228 15065\n2312 11358\n2090 7826\n5087 7590\n590 1589\n10582 14711\n10713 13289\n7275 13203\n2405 13489\n5207 10823\n6175 14022\n2892 10530\n9431 13397\n686 11055\n2192 14869\n2433 7560\n3071 6995\n5583 8182\n5614 13919\n1820 5612\n547 12960\n6901 7363\n839 1921\n3101 13270\n5903 9383\n3113 8375\n7956 13410\n4147 4959\n5227 12795\n1660 5551\n4656 9665\n10675 15156\n906 10001\n306 11951\n9435 10010\n3240 5969\n1398 1511\n982 13306\n2313 6429\n8704 13310\n8174 9859\n1586 14461\n2273 14520\n2364 5052\n4289 12216\n9902 13301\n8603 14012\n5800 15023\n9323 12248\n5902 8597\n2757 11587\n5023 11775\n13336 14797\n11307 11486\n10919 12827\n1535 3355\n11521 13251\n1043 10381\n683 9520\n8301 11411\n1855 5613\n507 7740\n954 6173\n1225 11635\n204 14348\n2313 9491\n3879 10962\n7731 9017\n5510 14268\n4876 6947\n3712 6609\n6789 7997\n3185 4386\n2379 6764\n2682 7652\n4172 8668\n6553 8403\n7492 11574\n6909 11085\n5159 12295\n8083 13151\n2616 12630\n13761 14232\n3113 14691\n3380 10072\n6666 9375\n3734 13424\n706 8157\n1362 14403\n8671 13580\n8096 9283\n7082 11686\n3949 11715\n1945 8279\n497 13630\n6020 13374\n2636 8931\n6143 13666\n3948 11732\n6901 12175\n1474 13875\n3657 11474\n2639 9704\n1251 11997\n9540 14994\n5490 12438\n7890 10151\n6855 15064\n6166 14875\n11869 12234\n776 8884\n9061 14203\n2304 5024\n2404 8350\n5830 10534\n2703 8986\n4019 7977\n8883 13329\n3005 4462\n11201 14447\n2648 9891\n11380 15050\n5781 6989\n126 14374\n7757 13560\n9620 13761\n2751 9632\n4227 8972\n566 5260\n6406 9770\n6003 12025\n3685 7448\n11334 14421\n3410 4699\n7281 13619\n2785 4150\n8318 11045\n9200 10947\n5887 11119\n6055 9422\n4208 13083\n11526 15066\n229 277\n5322 14779\n10733 10750\n9098 9593\n4080 12300\n3688 9956\n7858 8549\n3928 9815\n666 11888\n306 12454\n111 3152\n2180 11427\n6746 13645\n450 2469\n14300 14686\n3887 8919\n4503 11132\n409 8525\n315 13603\n6492 14858\n10054 15294\n4022 13246\n3981 11433\n5028 14284\n4566 6738\n10881 12841\n3381 13729\n3947 11912\n2617 10567\n1733 11429\n6750 15267\n9274 13333\n21 1365\n1606 11180\n4037 15250\n358 10036\n9107 12706\n3781 11228\n622 11683\n1110 2797\n7408 12248\n3430 14744\n9763 12397\n6712 11305\n3847 10152\n5832 12246\n6356 6441\n4451 9853\n426 11505\n1832 3555\n13657 14994\n239 9743\n1714 4990\n4854 8445\n8388 11098\n6584 10094\n1230 10448\n1970 14221\n2787 14033\n2940 5222\n13305 14521\n5585 11353\n6763 10658\n7234 7660\n407 3077\n2954 12707\n640 11174\n381 11923\n2158 11810\n1253 3151\n2110 13858\n11570 11675\n11637 12261\n3204 14800\n2284 5448\n3024 3653\n1875 8271\n791 11618\n1237 4602\n2197 4614\n864 3975\n5600 14226\n3147 10607\n1803 6305\n7441 12761\n6367 7544\n1180 8838\n4245 4483\n8318 13471\n3501 15300\n3185 10674\n10183 12957\n6631 10468\n2444 8731\n465 3303\n5207 11655\n4892 5530\n14891 14930\n77 12020\n477 3849\n11249 12735\n71 7034\n3685 10831\n7396 14642\n1152 1480\n2440 13604\n9371 11268\n6776 13981\n7470 12100\n13873 14403\n689 6226\n1624 3406\n3244 7734\n4411 7555\n307 7615\n3316 11588\n6799 14523\n536 13691\n6727 14923\n420 5950\n754 8017\n12164 13717\n6864 12857\n11189 13161\n523 5651\n4892 9035\n1294 3213\n1442 14744\n2646 4197\n6651 14184\n7006 8415\n748 13485\n6215 13045\n1028 9399\n277 2115\n9219 11163\n2124 6213\n11206 13973\n4454 9734\n5028 6798\n2257 7446\n7316 14363\n2739 6262\n4376 13814\n4160 11240\n1111 7516\n6799 10798\n11153 12060\n9071 11150\n4303 4558\n2307 11397\n1476 13092\n5227 6532\n1473 1746\n1647 8124\n12754 15232\n3987 4926\n4958 11582\n13030 14155\n2838 14158\n2514 10302\n1487 12852\n8865 13805\n8021 9129\n1111 3018\n343 2404\n9998 13500\n3199 5460\n2224 10506\n6569 15263\n4473 4581\n3890 11091\n5654 6865\n3403 12998\n1875 10262\n12938 14718\n3341 8615\n5483 10246\n946 14369\n7273 12758\n1373 5165\n6426 9946\n3889 4859\n6022 13972\n1026 7859\n2526 4012\n1960 12086\n8714 13726\n5915 10381\n1945 14755\n621 10195\n1315 10540\n8924 13574\n4018 11117\n390 11159\n11129 13922\n756 11723\n10242 11248\n3360 13968\n4112 13324\n3241 10131\n622 4071\n8708 10015\n6163 8578\n6299 11321\n4860 8443\n6636 8508\n1266 8739\n5636 8037\n9438 12539\n7919 14365\n3656 12691\n11475 12319\n4014 4749\n1686 9810\n833 13654\n1159 11964\n1976 3086\n395 9957\n2859 2871\n8046 12496\n13067 14254\n1463 1907\n2301 7804\n12449 13535\n9417 13120\n3795 12142\n7022 11679\n6524 9227\n3739 5448\n8687 8966\n3792 4964\n1251 13557\n12915 13259\n2608 11709\n1433 8671\n2100 13158\n6537 6589\n708 8355\n5927 11856\n4136 5770\n7249 12181\n5518 6885\n1326 1704\n9934 14696\n14194 14207\n380 3707\n8215 8467\n4200 10287\n176 1456\n12172 12247\n1693 12465\n4686 13327\n940 11393\n7538 8636\n4080 4723\n4361 11974\n315 14299\n5654 12626\n4302 15266\n7125 14192\n3087 10502\n2098 2554\n61 10846\n3219 3506\n3458 9114\n443 5399\n6534 10341\n10986 15179\n6330 10673\n4941 15162\n9136 11916\n4624 12324\n1043 11961\n11357 13388\n9259 13309\n3107 8176\n3272 13671\n10033 14872\n6423 9571\n11603 13847\n2670 12552\n2982 4306\n3705 9119\n5405 12503\n455 8471\n9383 10658\n4477 13173\n9117 13169\n3473 12594\n769 10739\n1796 15056\n4157 4270\n10466 12161\n9324 11139\n7815 12323\n6153 7333\n4056 4815\n2955 4752\n92 1734\n2754 12804\n6522 11714\n684 13550\n5993 13254\n6422 14533\n9862 12046\n9609 9686\n2293 10609\n4296 13747\n13610 13953\n10820 13088\n1624 6123\n7455 11307\n8657 8808\n4270 10852\n8000 12839\n1389 11750\n2206 10030\n1593 12532\n10200 12394\n3733 6027\n8471 11597\n7280 10803\n5288 14742\n6245 11898\n2299 13009\n12285 13208\n4664 6555\n351 8917\n13021 14129\n4316 10713\n907 5011\n7415 9097\n291 2080\n6492 12595\n1581 6010\n2860 8858\n2801 4006\n5526 12612\n12554 13611\n268 1116\n2508 8906\n8856 14430\n1830 14917\n4241 7026\n10759 13215\n518 4040\n1843 12182\n6739 7365\n6185 13670\n5330 12246\n6248 15260\n1156 4885\n469 6193\n4955 8194\n3345 14665\n1150 13940\n2581 5627\n7753 12314\n3151 6577\n5474 7385\n302 4680\n1629 3354\n7751 14359\n763 9863\n479 13683\n2368 11355\n4145 6956\n2697 11663\n2371 8701\n5574 8810\n2946 6110\n3938 15108\n1122 6068\n6078 8391\n4583 6203\n10035 12832\n10312 14928\n539 7137\n1031 10677\n2344 13463\n4537 12103\n6364 9574\n13385 14473\n12806 13885\n3134 5880\n3155 10042\n8345 14555\n1975 11097\n384 4839\n157 2640\n10332 12116\n3044 12056\n6174 7813\n4370 8056\n1750 12970\n3482 4654\n1529 7577\n1338 8789\n1088 9169\n1515 4580\n10503 12578\n2671 11751\n5333 14043\n2056 11584\n5020 9287\n10516 14790\n5286 10102\n6041 8562\n4287 8223\n5811 10419\n5419 9845\n5079 12091\n5452 5764\n2262 5356\n7066 10879\n3936 9113\n1255 10274\n12203 12961\n10027 14356\n7563 12486\n3959 9830\n868 1080\n10832 13192\n2796 10205\n9808 10597\n6366 12688\n4332 10820\n3060 10710\n10847 13844\n1288 8950\n4291 13861\n332 12473\n3015 3355\n12372 15301\n8071 8561\n10607 11542\n2361 4590\n7556 8614\n6749 11652\n10835 12275\n4797 15121\n2218 13871\n8515 13708\n8917 14221\n1560 3372\n10968 11372\n6838 7865\n3204 8029\n1501 11381\n13851 14029\n4933 8460\n4950 12849\n12039 14726\n6454 7653\n8122 11425\n1257 8706\n11710 13039\n362 14760\n2705 12418\n6576 10451\n5271 14262\n12686 14247\n779 10578\n1247 5633\n8270 14651\n1845 10781\n2074 13451\n182 10428\n7393 13484\n10722 15196\n4928 7888\n794 15051\n2142 7884\n7894 14242\n2805 5070\n13417 14991\n1508 9116\n1004 12625\n5884 14206\n5098 8660\n10605 14095\n2625 3404\n13519 13920\n1278 10817\n918 7644\n179 2278\n11471 11595\n6172 10431\n5541 13498\n10718 12987\n3658 7211\n6607 13152\n2354 10481\n8349 10522\n5579 9577\n14037 15251\n1179 7506\n5377 8358\n2128 7703\n1615 10556\n8424 12107\n76 11646\n1183 11600\n8747 13707\n9778 14514\n3787 8272\n3026 5496\n2451 13700\n14214 14466\n5547 5551\n6741 11218\n1124 10534\n41 2088\n1488 6898\n11977 13222\n245 9166\n3586 14195\n7021 8191\n3810 14235\n1400 2316\n11205 14473\n4763 5873\n11911 14521\n8842 15111\n5562 5810\n2707 12664\n3564 9158\n2392 6132\n11148 11751\n5772 8635\n3122 14646\n5137 6818\n1494 3038\n10457 10877\n636 11326\n4975 13303\n12498 13001\n7417 11615\n3391 7364\n617 9067\n757 4823\n76 12742\n5493 14789\n7556 7942\n489 4668\n5689 12903\n5928 12804\n2473 11574\n111 7641\n5435 8644\n4481 6107\n6044 14711\n804 6035\n4872 7351\n9204 15261\n4402 12957\n4920 12826\n6900 10574\n2430 15261\n7079 10670\n2759 9827\n6164 8309\n3189 7948\n2540 10889\n3243 7042\n10297 14245\n8368 10808\n1902 9071\n10509 11840\n4327 8904\n8366 10286\n9153 11807\n1373 12860\n944 4881\n860 5799\n1897 8909\n10090 14086\n6465 10388\n8369 10385\n4004 5284\n3384 9676\n700 13987\n8190 14178\n4695 5726\n10734 13946\n6200 11481\n5703 10141\n9662 11530\n9208 12950\n1765 2469\n2916 8767\n5321 11274\n12690 12813\n1145 15258\n944 1688\n12845 13429\n13940 14334\n504 7697\n6913 12599\n10323 14787\n11693 12857\n4048 14521\n4844 6829\n4539 6151\n9736 10357\n2507 3406\n6403 8556\n4395 10030\n12217 14164\n1571 14926\n9319 13576\n4689 15027\n707 2561\n1000 12551\n10337 12795\n391 7518\n8663 14870\n6204 12195\n2553 10744\n3074 14782\n3678 9848\n1374 10355\n10787 11908\n1264 10531\n34 12907\n5740 8333\n1404 11520\n25 3298\n9143 13987\n14721 15219\n2842 14835\n3858 4611\n2785 7255\n5050 12500\n613 6318\n573 2688\n6675 8221\n2299 2780\n9051 12647\n2795 9484\n2581 6871\n12143 12409\n7590 9942\n3250 6571\n3909 12168\n689 3190\n11257 12704\n492 10006\n4005 14846\n3016 6419\n601 6870\n11131 12696\n9740 13602\n7390 13656\n10931 15214\n3779 10911\n6507 9492\n3207 9545\n4002 9348\n3314 11368\n5593 11360\n4842 5889\n1134 14895\n7576 9547\n7214 13455\n12353 14060\n4991 10981\n3734 10294\n2081 13792\n12932 13112\n3003 8277\n6006 7248\n1245 7393\n1763 10534\n2691 5159\n2169 12617\n2235 6884\n11517 14800\n6261 14957\n2264 4304\n1225 13194\n12847 13122\n2422 10687\n7605 12215\n3495 3636\n3878 13215\n6252 8659\n6130 9834\n51 11200\n7376 11434\n6044 7650\n164 3538\n4606 6074\n3547 8734\n2380 9153\n4623 5503\n1428 1603\n351 7138\n11028 11950\n8184 13877\n79 5434\n5101 12961\n328 2805\n5096 6413\n8531 8737\n1175 15032\n9354 9860\n6536 14967\n2992 4260\n5739 8216\n9745 15032\n3199 14050\n14303 14561\n942 9009\n4563 8232\n7034 9243\n957 11096\n2226 8518\n4527 12650\n8829 10078\n302 10653\n3115 7437\n5823 13668\n3307 7646\n12201 12265\n668 9928\n3637 13485\n1407 3086\n1512 13552\n2559 4680\n5434 14246\n7731 12088\n7155 7243\n11078 11314\n5347 8012\n8229 9953\n1296 8363\n12190 12684\n822 14292\n4798 9028\n1783 7799\n1325 14332\n8472 14554\n4738 9786\n8594 10413\n2661 13298\n2240 6341\n1719 13343\n6145 7780\n8400 13191\n6171 8116\n6899 12627\n5 25\n6892 8168\n11886 14034\n5602 9872\n7934 12001\n1275 5590\n3840 8917\n8763 10864\n6060 13643\n1492 4400\n252 11137\n9168 12230\n11128 13544\n1679 12805\n8488 12339\n1185 11931\n774 11172\n1425 10270\n237 2897\n4660 12215\n1005 1573\n8495 13487\n1251 9154\n4338 14658\n4809 15143\n8674 15215\n5631 8277\n11088 13321\n10632 14255\n2864 12220\n11599 11785\n7758 10028\n2606 5339\n824 14229\n9716 14558\n43 9564\n1567 12901\n6585 6627\n597 11206\n8023 10740\n4683 15307\n2206 10596\n7304 8284\n1669 8424\n3719 14422\n9153 12174\n2593 12427\n4961 15193\n4927 9586\n1523 12986\n8021 10984\n11241 14326\n13934 14908\n555 8520\n7886 13553\n529 14577\n8752 11394\n2575 6359\n7242 14942\n14626 15291\n1464 11152\n7887 11741\n1408 10279\n4134 11980\n3773 13217\n8446 10818\n6100 14673\n756 9365\n4670 7612\n10563 13919\n7587 10338\n2014 5578\n9523 10322\n8094 11630\n2323 10358\n8815 12551\n6252 8230\n1088 12013\n5355 8641\n5924 15245\n10784 14424\n7527 13213\n1279 9043\n691 12067\n2682 3026\n3299 3330\n3257 7968\n9883 10022\n978 4617\n8986 11619\n4303 4700\n6719 12613\n202 11323\n1234 7046\n3004 9574\n9986 9991\n2436 2832\n7449 9607\n5512 13664\n7781 9481\n8112 8810\n2663 4639\n5882 13130\n9166 13863\n8043 9656\n7455 14143\n891 3011\n3176 9577\n9388 12186\n3763 5731\n5660 6149\n3591 6117\n6923 14395\n2904 3254\n9037 12526\n8215 15306\n2296 14852\n148 11801\n4650 14484\n9661 13769\n6552 9989\n3889 8885\n8118 10458\n6551 14467\n853 7432\n585 2429\n3226 6628\n7778 11026\n6397 10939\n14154 14322\n559 2547\n1807 11455\n5235 9214\n228 6232\n8657 13370\n7717 8864\n5782 10063\n6819 12323\n6088 10202\n185 6444\n1710 14509\n1011 1162\n3684 7922\n3330 8215\n189 4202\n14235 15217\n3766 5961\n10432 13608\n8150 12315\n6483 7854\n9792 14354\n9928 12005\n7259 8557\n7742 10187\n7608 10080\n5485 12744\n6944 11025\n1814 2753\n1233 13680\n3691 4831\n13025 13159\n10415 12999\n5357 8754\n10947 12905\n7469 13918\n14102 15249\n927 3196\n7025 9222\n7815 13636\n2244 6498\n7424 13157\n1337 7360\n6270 10022\n1558 11731\n3400 12221\n4452 12355\n8640 8873\n7764 7904\n9025 14935\n2969 12373\n76 10652\n1580 10357\n7650 11184\n8036 13394\n3366 6984\n6500 7354\n2648 7618\n6099 11728\n13795 13962\n11191 12759\n3734 7966\n8859 8883\n807 5598\n928 12610\n7658 11070\n123 3242\n1329 3205\n923 7176\n5392 5545\n6943 7354\n8282 11112\n7951 10109\n2930 6045\n1126 9457\n8105 9248\n3907 4759\n11437 12938\n3450 7221\n5306 11903\n2153 8089\n5044 7868\n4395 13676\n3546 11603\n4735 6580\n8404 10448\n11072 13176\n12265 13273\n7987 14631\n13383 13735\n6495 13647\n3016 11783\n493 4070\n7117 14928\n7461 11337\n8775 8821\n8818 14260\n2259 3106\n7002 11798\n7295 7873\n2109 2896\n2081 2205\n6762 12469\n4731 6420\n13311 14855\n4298 10143\n8591 15231\n7712 8483\n475 11992\n12680 15009\n5602 10667\n2295 7762\n3698 4774\n962 8861\n7841 11053\n8980 11507\n1828 4176\n1023 12022\n13731 14124\n6994 12589\n3482 8029\n9072 15255\n4574 11638\n6696 12012\n4290 10133\n11189 12565\n3366 9045\n3603 6291\n1672 4743\n6705 9630\n1152 6085\n5391 9738\n537 9809\n6477 7693\n3834 9905\n407 1627\n7605 12125\n10824 14194\n3308 13737\n6161 14039\n3918 12803\n2498 9877\n190 12085\n1217 1282\n3266 14307\n1012 3263\n1482 7510\n4459 8917\n11935 14822\n6282 11971\n1719 14372\n9084 13738\n2957 14053\n12334 15093\n10517 11661\n302 14358\n788 6696\n5580 14901\n5417 8433\n10243 15233\n11328 13306\n9073 14169\n6945 7786\n5014 9848\n6910 12105\n6935 10526\n655 9860\n1884 8484\n4075 13571\n791 6621\n1677 3158\n10510 13050\n1770 3365\n90 4898\n4864 8234\n4011 10301\n674 1280\n652 13429\n9035 15008\n2242 9131\n4067 12534\n6078 8350\n3137 15085\n459 5472\n7089 8905\n7869 11699\n4563 8441\n3476 6266\n5191 12476\n4070 7936\n3263 6810\n4335 14143\n5323 11342\n558 4408\n12468 14035\n9579 11558\n1632 10761\n976 6500\n1242 4381\n11177 14982\n1234 10907\n558 14998\n646 15226\n12147 12501\n6110 15298\n5601 13849\n10548 11830\n1403 9682\n4133 4392\n8472 9547\n2399 14061\n10653 12735\n4002 10225\n1355 7444\n1093 7678\n10783 13374\n1792 12791\n10945 11324\n5544 6558\n729 8277\n6821 13145\n3643 3972\n1802 3722\n3218 6782\n10535 11324\n4008 12845\n2045 13448\n11936 13874\n1876 8033\n5004 9057\n2019 9948\n13148 13986\n6654 14162\n2632 13660\n4422 10316\n6436 13915\n3679 6821\n3093 10198\n3896 14411\n523 9697\n14447 15134\n297 988\n1017 8448\n4837 7333\n5021 6704\n4292 6839\n1530 1550\n383 1142\n3220 5843\n9176 10768\n4047 15144\n2840 11696\n11195 14146\n2306 14070\n899 3753\n975 13831\n6132 12472\n1400 13462\n1201 10320\n7705 8789\n2983 4690\n3352 5120\n8948 11280\n3848 14624\n2650 9877\n9997 11680\n1788 7930\n1734 6175\n529 9560\n6534 8215\n773 9372\n13486 13631\n15 2314\n587 7337\n344 6847\n2227 2731\n1403 8704\n11215 13968\n10679 13533\n3180 3983\n2914 3873\n6415 10723\n12318 13654\n12308 12846\n2436 4920\n4480 9827\n9155 11879\n5823 7098\n8971 15180\n3120 5938\n9659 12027\n7930 13361\n3693 10497\n11012 12282\n5214 10110\n6307 9690\n5228 9395\n3028 7815\n7044 11274\n1163 9644\n1145 10727\n10669 13063\n1973 9024\n5171 12162\n6793 13908\n4547 7429\n101 6513\n4009 8457\n4924 4983\n5635 8484\n892 8850\n1457 3327\n8675 14042\n13510 13694\n3594 6892\n4337 10178\n3546 8226\n4868 13867\n4907 14614\n7643 14724\n4948 10441\n379 8090\n11655 15017\n3478 12464\n4905 9849\n11201 13593\n3906 9192\n9083 11400\n1778 6482\n12028 13607\n15 9607\n4458 5463\n2697 10954\n13933 15161\n305 15251\n4722 6739\n8570 9879\n2631 13998\n5875 12937\n951 1266\n11359 14313\n910 4287\n8947 10807\n917 12278\n4157 8158\n1570 6820\n4744 10148\n5652 10081\n4206 12506\n8805 14321\n5958 13524\n27 6579\n736 14703\n4864 10320\n1792 12406\n2330 10247\n8900 13999\n662 1583\n2888 6821\n11082 13398\n10323 10546\n2389 5810\n12045 14857\n3217 5976\n5691 6435\n11342 11916\n9428 13415\n3096 11248\n1900 9341\n3176 11369\n4174 5752\n5215 11043\n1432 4083\n4630 9945\n6245 10046\n7342 13117\n3806 11944\n6021 10520\n944 11123\n1468 7057\n1006 12535\n12635 13619\n2553 5330\n3727 7231\n11338 12122\n8987 13536\n12517 13552\n6105 12318\n3822 5882\n201 13095\n3965 12324\n9262 10536\n4589 9873\n8471 14186\n9691 14140\n7363 13590\n3751 11097\n3878 10122\n6788 9896\n5940 6194\n11607 12083\n11794 12592\n2062 11439\n4562 11681\n6299 8900\n3623 7439\n572 12784\n7515 13212\n10499 15076\n1023 1107\n1889 7630\n11735 12569\n153 9719\n2342 7411\n6814 10435\n7467 13912\n12904 14798\n896 922\n3732 11312\n10288 13076\n3786 7917\n3282 13217\n2809 15193\n12457 14710\n4596 13213\n8013 13369\n13135 14165\n3288 7420\n7082 11032\n6854 10413\n3544 14871\n6105 13778\n382 11912\n8128 13231\n2582 15074\n3238 6936\n1159 3785\n2630 14376\n21 7080\n1731 3102\n2459 10248\n1399 15278\n259 11593\n7225 11393\n12472 15112\n2441 7018\n7274 13608\n796 14367\n2208 14587\n709 14498\n6771 11179\n13135 13154\n4172 9437\n4486 5288\n197 13225\n10757 11562\n10080 12404\n14150 14223\n9834 11229\n2205 3046\n11230 14865\n332 9456\n2465 11241\n7974 9114\n4328 4999\n1963 5997\n2709 8637\n3538 9219\n206 3840\n1887 4290\n467 2889\n10293 13864\n3200 13402\n5002 7816\n1085 8338\n2632 13279\n1691 11818\n3149 8484\n93 3856\n12084 13735\n10060 10105\n1714 10259\n5306 12134\n5743 7294\n792 9483\n4915 5903\n7691 12667\n10286 13872\n4464 6111\n12502 13480\n1339 5569\n1446 13973\n3977 10767\n935 3187\n1905 10499\n3969 13131\n130 9802\n9158 15255\n7215 13224\n5369 8684\n8818 10766\n8006 10883\n3493 3511\n6514 13987\n10957 11941\n3278 6957\n4171 11813\n2195 4799\n9428 13844\n7518 15146\n5284 9321\n7417 14148\n1349 14632\n6790 13690\n4351 13389\n8823 10491\n1714 11138\n11007 12681\n7577 14004\n4733 12643\n673 2906\n210 11937\n2378 5817\n11663 12538\n9127 13765\n15097 15151\n942 3110\n7242 14687\n2139 4818\n4755 6323\n7611 14042\n5461 14968\n5627 11654\n3337 5789\n239 5021\n3589 14764\n722 5524\n3181 3517\n6546 11361\n5141 12927\n2917 7926\n5757 8772\n6110 9492\n1832 6010\n784 9173\n599 14722\n12956 14783\n9230 12144\n5263 12743\n14656 15267\n1410 10935\n7947 8100\n2888 12248\n350 2264\n5428 10155\n11256 13944\n5818 10677\n9744 11019\n3361 3894\n2752 12098\n2656 4971\n4328 11563\n10321 15266\n1276 7927\n8345 14321\n4116 5862\n7021 11765\n384 6209\n258 2845\n5217 12748\n9224 12233\n3070 13670\n6849 13868\n7275 7792\n993 5057\n5059 9323\n10311 14428\n8947 10649\n8688 10206\n266 12744\n1509 11772\n13109 13357\n9182 14106\n273 3913\n4640 14401\n3563 13122\n410 14363\n4026 8707\n793 13276\n2274 14391\n1143 4083\n9531 12583\n1167 6230\n7629 12666\n7981 9217\n3280 9290\n5336 12703\n6628 10492\n4952 9258\n7627 12908\n4836 5522\n3565 13507\n7140 14127\n8290 13285\n253 7886\n691 8523\n5823 13736\n8796 12739\n1083 3301\n6044 13512\n7445 10969\n5559 8736\n5334 14787\n836 10879\n11779 13333\n503 801\n1179 5712\n6165 15194\n263 471\n11996 13688\n2371 10479\n3850 5532\n8895 13307\n5772 15305\n1102 10582\n7902 10851\n1151 5250\n7055 10542\n6513 8961\n3985 6835\n4701 6065\n245 504\n772 10551\n787 11044\n3476 4339\n5363 8369\n1653 10336\n2992 5694\n12537 13461\n690 13908\n7829 12975\n1633 10640\n5820 11665\n12159 12602\n1924 12452\n14582 14810\n7537 9034\n9594 12352\n1067 13093\n65 11952\n7265 15058\n666 1748\n1414 14283\n2175 12244\n5965 9562\n503 1764\n6988 7256\n7386 14407\n4858 7744\n7233 11772\n10906 12228\n8090 9609\n10951 13855\n4292 11494\n2419 7698\n8221 12025\n5897 13192\n1867 10128\n6179 7253\n428 2758\n7962 9066\n3595 5427\n9756 12669\n2915 14108\n5153 13429\n4378 11737\n8290 9572\n12627 14891\n2471 10097\n1316 3577\n1918 2555\n3023 10552\n8223 13114\n3225 10714\n3553 4846\n7688 14971\n6957 9724\n398 11418\n461 8733\n10551 14294\n390 2103\n1212 9923\n5491 11124\n4492 13580\n3267 3861\n1512 5314\n7091 14320\n11994 12480\n5408 11729\n1341 12132\n8412 14573\n2565 11339\n3344 3750\n6795 13666\n6380 7294\n10074 12649\n3124 9445\n12836 14982\n1668 3075\n5536 10499\n2260 2975\n878 2341\n3084 7454\n663 7389\n1731 14241\n11617 15142\n5990 6808\n3313 9210\n365 6674\n4552 5349\n2931 12543\n1570 7806\n5634 11541\n10148 13402\n4837 7223\n2051 4472\n5354 7749\n3055 12594\n6293 14538\n10295 14886\n3526 14267\n11593 14653\n43 11566\n4152 5011\n10501 11828\n10503 10705\n8752 11627\n1135 5442\n9948 12370\n9619 13517\n7217 8054\n3656 8536\n5591 9763\n8748 9551\n4418 5905\n7876 15069\n472 7970\n2472 11857\n7546 15293\n5235 14730\n2902 11675\n943 9270\n2831 11258\n1891 12060\n2429 2976\n12439 14361\n12975 13444\n4124 4585\n5484 9391\n8711 12266\n2501 3179\n1100 8872\n11685 14421\n1099 10062\n2172 5019\n4071 5557\n6262 10684\n3948 4694\n6727 14443\n2777 13225\n7633 14482\n8049 8172\n11474 15242\n11672 13438\n12867 14149\n12015 12719\n2956 9845\n1986 4665\n9330 13467\n3339 10421\n4146 5061\n2769 9755\n1546 5799\n6156 11040\n10465 13624\n2422 8882\n6052 8692\n6117 6287\n10600 15121\n923 5447\n10181 11315\n4582 8595\n12778 14763\n13726 14142\n4252 10204\n9161 14630\n7395 13909\n12227 14723\n11716 14290\n7672 8609\n1827 10874\n1271 11879\n663 10723\n129 12474\n2473 3401\n6254 12616\n3428 5225\n4283 14169\n1060 7707\n7474 9763\n3261 13302\n5142 13339\n12763 14413\n3428 7317\n1255 4726\n1829 14771\n5001 12273\n5937 9139\n4882 11702\n6659 8403\n1437 12127\n1091 3677\n9107 9950\n7393 13678\n339 13511\n3316 3787\n8925 11734\n1835 12719\n7532 12159\n4200 5784\n2082 3145\n8264 11126\n2109 2405\n3467 13320\n5444 8389\n4256 14266\n7330 14245\n1570 8031\n4450 10798\n7137 7549\n7372 8843\n1118 3294\n1128 1583\n4284 12625\n7146 8430\n6941 8026\n391 10185\n8780 9727\n5147 6367\n5407 8351\n1233 5623\n154 2491\n8076 8647\n3329 11585\n1651 9817\n716 6399\n3490 6169\n6686 8531\n9942 11666\n523 1208\n3686 11444\n5897 13175\n3501 3969\n13165 13591\n8076 9603\n458 6263\n3494 5925\n6133 7275\n220 4481\n7838 8479\n2178 13942\n3523 14680\n1477 3214\n1827 13640\n4263 14989\n6173 8968\n1856 11217\n6926 9820\n9788 11878\n1036 5867\n10864 12697\n5043 7940\n3763 14134\n11185 13768\n90 12391\n2802 5065\n1310 3902\n1252 13544\n1186 3489\n4184 4623\n10256 14721\n6693 10693\n4524 9733\n13972 15068\n7790 9163\n2657 15025\n992 10570\n2131 8603\n1207 3536\n596 2135\n9696 11309\n13527 14562\n7219 9529\n4515 6676\n5901 6174\n2731 11051\n4470 11963\n5880 6997\n5826 9060\n9594 11490\n7062 8007\n2739 3331\n13065 14015\n842 13133\n10871 13000\n1980 6232\n9481 10964\n13134 13877\n2117 11771\n2741 14038\n7171 10344\n13675 14508\n9464 15052\n9644 13753\n7563 14545\n9487 11306\n7844 13773\n2255 12994\n8606 11577\n1587 9207\n2119 8802\n6778 9153\n7398 12925\n6997 9279\n5032 5252\n7032 13611\n1131 3724\n10725 11069\n649 948\n6928 12652\n6198 11588\n7168 15288\n8815 10655\n8190 12458\n9638 15058\n8415 10791\n1162 15164\n3766 12389\n9538 11521\n2419 9756\n6795 9282\n6812 6916\n170 14207\n360 7313\n1131 12080\n1280 2670\n7898 14804\n7729 11457\n9545 14421\n9644 12962\n230 10733\n6197 14517\n3355 11987\n3413 11669\n8337 12125\n9803 14471\n5087 6229\n5980 12261\n7613 13545\n10666 13569\n2194 5922\n10940 13788\n9374 13238\n6268 10506\n2440 6924\n1143 10975\n3893 9354\n2200 8689\n8799 9998\n2846 8855\n3537 8873\n7470 11708\n957 13459\n5293 13623\n8083 15276\n3453 12205\n1707 14792\n2463 14819\n1931 5515\n6489 13538\n557 3993\n808 12125\n5249 10984\n10749 13717\n4600 14494\n6968 12788\n3106 14270\n4472 12676\n12792 15181\n7660 15096\n3434 7733\n4056 14659\n2509 13768\n1143 4715\n5806 10045\n4716 10816\n7828 14069\n1013 15137\n8577 12556\n34 1242\n3139 8250\n6154 14135\n382 9495\n280 463\n3073 4020\n6780 9161\n10099 10252\n659 8367\n1441 10060\n6472 8655\n118 2842\n2431 11392\n11486 14967\n3263 3576\n8620 10844\n6142 6695\n1238 11397\n2939 13472\n7163 11200\n8749 9182\n9278 11648\n13760 14670\n10639 11593\n3123 5320\n8780 12255\n9127 15224\n8941 12329\n1253 14186\n10462 12862\n2003 10428\n6270 6849\n5665 13034\n624 13794\n2395 14851\n8723 14378\n13396 15153\n2753 7315\n7749 8611\n8941 10206\n8365 8568\n5480 12437\n1681 8242\n2586 9151\n2035 7961\n2652 3691\n6691 15117\n3787 8781\n562 12209\n76 9860\n181 5717\n7433 7455\n6855 7515\n4443 9310\n520 13604\n6667 12891\n9343 14004\n4538 5760\n3494 5116\n2867 3209\n7724 8049\n7025 8166\n7052 11190\n14527 14686\n9058 9161\n3849 9238\n7838 11604\n528 2345\n3804 10328\n2827 13225\n1960 14470\n11806 12641\n6486 12199\n182 2752\n13796 13926\n5592 8506\n106 7199\n6584 14969\n7140 8358\n702 5437\n109 11974\n1082 10665\n3330 6455\n11326 11665\n997 14759\n930 9507\n3599 6224\n624 12554\n8534 12516\n88 14642\n936 12106\n3758 8018\n2112 4170\n8419 12839\n6146 11958\n1868 12099\n3288 8295\n2526 12147\n697 3497\n8358 12756\n7818 9742\n3526 9161\n4513 10753\n6399 13869\n6227 11744\n3970 7469\n9966 10003\n1307 10502\n3415 7571\n3451 4557\n3243 7907\n11828 13590\n2058 2313\n1551 11106\n10478 13759\n9738 10645\n6699 13854\n6245 14869\n7455 14416\n5320 8088\n13738 13873\n2207 4698\n2813 9571\n5142 6777\n5994 10090\n7520 11526\n4516 6694\n8580 9858\n9321 13774\n7319 14796\n5965 6787\n4866 6865\n11996 12361\n1609 6202\n9248 11556\n4272 13448\n842 12430\n507 11139\n10704 13266\n5215 7346\n1715 11225\n5756 13803\n891 13767\n4140 8887\n7065 12934\n1846 3073\n8288 9653\n5654 6036\n2819 14407\n12328 13340\n5198 12905\n12226 13049\n5510 8550\n213 1698\n2887 12485\n3561 13548\n7255 9408\n4922 6053\n1792 6240\n810 8458\n5095 5414\n1955 11158\n550 7044\n2981 7511\n2480 9837\n461 5986\n8744 14160\n10581 14330\n1918 7900\n3405 10582\n3133 7389\n4974 12295\n1667 13115\n8503 9607\n5003 13981\n2741 11562\n6129 14796\n4111 11046\n8564 9734\n5116 6307\n12422 14537\n1179 14787\n3988 14578\n5819 6641\n2989 7382\n5907 14533\n948 1595\n3308 3331\n5575 11482\n12013 15282\n2773 10250\n2206 7897\n2691 10725\n11105 15045\n2262 7253\n3924 14610\n1419 12829\n10201 13202\n3046 14775\n1133 10154\n10700 13115\n9114 14381\n7856 9991\n5240 8533\n874 4872\n900 9879\n8382 14158\n6257 10795\n1326 15224\n1503 8813\n3099 7619\n1602 3753\n7043 7623\n9166 12054\n7534 14187\n9672 14951\n4039 9526\n4158 12393\n13717 14305\n1213 2632\n7921 11232\n2398 12960\n2740 3065\n12944 12964\n356 4874\n1839 14936\n867 13402\n2308 14951\n7582 13417\n4075 11752\n7366 7556\n9490 13094\n2034 7829\n2641 4542\n5294 13937\n4557 10885\n9124 14747\n12071 12431\n1138 2745\n4228 13765\n430 9720\n3863 11611\n1041 4744\n2079 3657\n627 1544\n12028 13613\n3219 3832\n1056 2851\n9130 10673\n7836 14463\n7376 11119\n10556 13326\n2709 13181\n2979 9320\n1623 6524\n727 3409\n6028 6812\n11527 14927\n2948 13285\n8080 14595\n4620 7997\n987 1301\n7050 14553\n1422 11969\n4505 8635\n5783 12387\n9450 11742\n843 12816\n2780 6711\n2309 2679\n2713 3191\n7194 12270\n9096 13339\n3422 5045\n1567 8334\n7639 14872\n3235 7229\n12545 12866\n4049 13185\n3213 13387\n3435 11312\n10725 11673\n9745 15051\n4056 12366\n4995 7295\n9721 12484\n3596 10038\n7723 11535\n10950 14715\n3821 13438\n6639 12299\n10959 14560\n8514 10619\n225 9901\n1405 4524\n2743 6519\n6283 10588\n9900 14693\n6873 7182\n209 3750\n9163 14091\n3289 7163\n1452 13617\n823 3147\n3795 9685\n2216 14736\n2495 7425\n6403 13217\n1729 13528\n5076 12850\n1650 9791\n5318 8211\n1475 13553\n4000 14598\n11421 12465\n7429 14429\n9576 13192\n6735 9196\n1918 13193\n10241 14037\n2617 14367\n10494 12183\n773 5152\n364 10121\n49 6640\n7325 13262\n1796 11208\n8506 12047\n1393 8770\n7957 11870\n348 5409\n729 1360\n769 6077\n3816 11466\n198 12786\n7018 10660\n7323 13104\n289 7256\n6246 10082\n11452 13180\n7229 10054\n7622 8268\n2952 11471\n11868 13626\n1800 12184\n2554 6786\n2194 4378\n227 7798\n3142 9953\n4082 4408\n1578 14783\n8158 10917\n3299 4997\n7518 13129\n230 13641\n6579 11836\n1120 15129\n6156 8685\n12006 12780\n7310 13178\n559 3605\n2132 15290\n7672 8052\n6892 14371\n890 15205\n9637 12084\n4566 14703\n89 14724\n8336 11633\n3091 7278\n5343 7864\n4251 12529\n385 4958\n6873 13298\n8029 15030\n4600 9308\n2222 10186\n4913 13112\n538 3224\n10075 12433\n14304 14613\n3238 9256\n801 14508\n8811 9966\n1898 2901\n4846 11340\n8132 8985\n1066 12271\n3907 4443\n7243 12424\n2393 12628\n3036 3860\n3431 5754\n5867 10750\n8247 11762\n5146 9247\n204 10861\n5422 8959\n4464 5833\n10402 13036\n6323 7282\n6420 10956\n7488 14058\n1174 11165\n344 12109\n10239 11375\n5601 11076\n8289 11492\n5842 10809\n1537 7094\n765 3863\n394 9034\n6935 9660\n11597 14128\n12927 13705\n1726 6660\n2066 7904\n1978 3400\n4437 10951\n10420 12368\n1328 9362\n4423 7407\n4497 6122\n2757 14815\n13019 14144\n727 8968\n1177 9472\n761 12788\n9006 9574\n833 14653\n8075 12976\n3450 8554\n5953 8175\n5563 8951\n9664 12180\n5994 7634\n7027 9064\n7038 7229\n7309 10840\n5477 15210\n5084 12255\n2265 2291\n2546 5408\n11500 14393\n2334 10755\n8575 9627\n4741 14611\n4968 11755\n5734 14658\n3462 4157\n2191 5940\n639 12177\n5320 9746\n1596 4277\n6575 9878\n210 11166\n6864 8983\n105 1993\n6508 7624\n8194 10656\n9453 10891\n2153 12455\n1680 13881\n4086 12216\n3205 9783\n3258 4635\n1651 4060\n4000 10108\n2180 10355\n9353 15278\n4910 12883\n370 8677\n5926 6952\n1603 1691\n6337 11011\n12953 14893\n8428 9923\n10316 11922\n2676 6518\n1112 10465\n11970 12554\n1576 10990\n13524 13564\n4016 5078\n3254 15047\n1405 11097\n5397 15119\n866 9870\n4846 13362\n5013 6106\n4250 4498\n7956 9760\n1422 11610\n9871 13393\n5093 11413\n7888 8032\n8943 12251\n534 14631\n8216 12541\n8645 11986\n5745 12870\n3272 3833\n14812 14866\n10740 10768\n2679 14920\n1863 5128\n14402 14445\n2021 14853\n8338 14616\n879 6508\n235 14210\n6156 9253\n3143 3336\n2645 13530\n2049 12292\n99 10777\n7009 14013\n10659 14809\n281 10614\n6851 14012\n9478 12601\n1141 5298\n11153 11656\n7210 13892\n2183 4889\n5919 7246\n1645 5425\n2352 11078\n3695 3802\n7050 14493\n3457 8143\n4089 14512\n11349 14711\n7809 8530\n5573 11723\n6662 15250\n2571 7313\n5120 14755\n1225 8962\n4520 4657\n6510 9230\n2420 8328\n11322 14226\n5338 9082\n11746 12562\n3420 12407\n2207 7794\n2026 2532\n2139 14251\n13343 14460\n3593 11198\n1959 3992\n4085 4830\n13273 13459\n383 629\n11754 14455\n9594 11838\n13763 15003\n7002 11610\n6763 10177\n1580 9729\n3767 13963\n3960 5616\n9189 11849\n13137 13451\n4875 12775\n6744 12794\n1181 6316\n1562 12498\n3636 11685\n4086 13702\n10387 14156\n5414 7957\n5127 8308\n1613 10941\n9648 11036\n7019 11785\n3743 6052\n7363 9594\n4048 5535\n1317 14925\n380 8607\n5444 11383\n2105 8611\n3961 4971\n328 7427\n8582 14818\n4673 14777\n1542 8546\n1009 2214\n6296 8234\n2584 13173\n2166 9182\n910 9623\n1927 12667\n9662 11622\n1972 13667\n6503 11273\n5905 12048\n4069 13766\n10765 13559\n4182 7112\n2890 6851\n6726 9709\n8297 11888\n6979 10828\n2738 6723\n807 10969\n8515 14276\n2160 9527\n4474 10418\n3050 12271\n3820 11478\n3220 8516\n866 7818\n3428 11934\n1626 7381\n8214 10815\n3967 6631\n6560 8336\n2211 11954\n6846 8375\n7955 12789\n370 5291\n8083 14178\n1051 1506\n4859 13097\n4574 12705\n8222 8632\n3412 4196\n9160 10534\n1935 13293\n9981 11067\n4262 8936\n2838 13984\n2787 5187\n1053 9497\n2967 11315\n2232 5525\n2633 15020\n662 3681\n1162 9534\n2476 12127\n3406 7700\n3677 9792\n2897 4282\n13348 13797\n445 2611\n7575 13235\n397 3875\n184 7052\n5135 9651\n5025 6025\n8911 9299\n7856 9835\n11084 11774\n3636 12614\n1724 14609\n11478 13329\n8692 13078\n8297 11041\n6556 13524\n7789 8116\n1021 4416\n2433 6070\n8104 14111\n6117 13347\n4670 12809\n4120 5052\n1736 3987\n4787 12884\n6500 10709\n88 2215\n8396 9455\n4332 5015\n2736 12277\n1545 7532\n5641 10359\n1535 9514\n7478 8771\n3903 8557\n13416 13711\n757 4449\n3740 7971\n4733 14623\n2654 9575\n9153 10147\n50 13230\n5504 11559\n5360 13097\n2977 5760\n7647 13941\n242 6820\n1986 2569\n3802 9054\n1287 9531\n3168 7427\n2976 7773\n6731 10289\n12189 12703\n388 7769\n4971 6808\n741 7927\n3814 8102\n8750 11138\n3324 6505\n5113 15255\n7601 13686\n1104 14516\n1643 7326\n7434 13760\n6509 12918\n3990 8705\n3847 8765\n12230 13233\n3746 10272\n4025 4683\n1132 5585\n9643 15197\n5930 11584\n14347 15306\n1253 5767\n7622 8483\n2328 12068\n9552 11040\n2718 7699\n4184 7925\n6068 12858\n11775 13109\n1850 5541\n11094 11469\n11414 14659\n6131 6280\n4853 4875\n2725 6958\n470 8418\n3156 4576\n11257 12173\n3441 12398\n4014 10370\n14046 14758\n1921 2657\n3618 8294\n5318 12496\n5379 14907\n5726 6182\n949 4925\n59 8636\n10586 13379\n12061 14095\n7658 9904\n1316 8976\n10404 13244\n4764 9936\n4576 6511\n461 3303\n11021 11721\n6178 13136\n1616 2344\n5075 8917\n9548 11119\n3754 8558\n6543 10082\n203 13089\n3492 3495\n4885 12345\n1303 10057\n4071 14115\n2502 2997\n6872 11518\n2295 7241\n6269 14003\n2646 8633\n788 10463\n26 11296\n3684 15232\n6192 10672\n11879 14560\n1565 6873\n1528 5152\n13671 15114\n10152 13602\n5096 7555\n1766 10899\n2235 10474\n8508 11563\n3258 6953\n4485 14191\n286 11911\n1195 10558\n2533 4284\n259 5094\n379 5034\n12542 14843\n10073 14428\n6975 7699\n842 12037\n6960 12787\n3883 4529\n2033 13813\n2659 3218\n2980 7468\n9788 10057\n10943 13155\n2824 3693\n173 9093\n3746 6263\n313 4569\n11911 12949\n168 3092\n4718 13501\n6756 12272\n3618 7283\n13085 15071\n286 8525\n1674 7963\n7687 13076\n798 8618\n2862 14733\n6185 7400\n4573 9170\n6875 14928\n7214 11402\n5825 10182\n3488 5053\n1913 4192\n13196 15158\n1953 4055\n966 6764\n10671 11446\n5688 9667\n7147 15177\n3889 11338\n2266 4465\n185 8457\n1602 10248\n6677 10638\n369 12565\n11507 14905\n2214 4493\n1287 8956\n725 13006\n3380 8873\n7920 7983\n8617 15154\n5038 15161\n9973 14559\n5159 11386\n3405 7771\n8010 9088\n3856 9418\n9777 15247\n4521 9422\n6812 8323\n10762 13211\n2124 4897\n7365 13090\n5749 11807\n286 3975\n2754 5069\n5008 11192\n8956 11516\n3118 13300\n267 4907\n3605 10019\n9854 14920\n7486 7863\n4274 13440\n7114 10655\n7285 15228\n3788 13082\n1707 7316\n6340 12680\n323 11365\n4237 5628\n10635 14581\n605 1698\n3034 6840\n2714 6081\n5716 14807\n10805 13442\n560 8126\n1645 13868\n5933 6799\n6834 8185\n6127 9572\n11978 15277\n2033 4814\n1415 3817\n4579 6869\n1098 8379\n559 10645\n562 3511\n3710 10238\n8878 15058\n8413 8634\n7006 8502\n3106 7855\n9424 15204\n9459 11598\n1467 8760\n5984 14371\n4282 9229\n6277 14263\n1944 4523\n7165 13972\n2912 12510\n8669 11469\n4546 14946\n1375 6766\n5796 6102\n4022 13134\n2125 12767\n3170 12996\n6735 9284\n10323 14078\n1837 12620\n1075 1518\n2653 5352\n823 996\n2445 7549\n11423 14312\n3923 11824\n11241 11842\n5620 8493\n3184 15289\n12283 13633\n5902 10520\n5913 9545\n7980 13433\n3545 8675\n6403 14953\n2945 6335\n8955 10087\n4392 12991\n6008 11713\n4920 6238\n13492 14339\n10467 11416\n4537 9725\n5283 12070\n4306 5583\n982 3062\n5747 10099\n768 14471\n1493 13684\n339 3197\n8223 13911\n7719 12132\n7507 11219\n3961 14741\n3790 15259\n9004 11529\n12534 12920\n6019 8788\n2999 15304\n2655 4049\n3682 14749\n962 10870\n6355 12456\n11979 15013\n462 14768\n4569 10244\n8695 12846\n3972 14535\n9974 12526\n1912 10729\n325 14521\n1721 13023\n4259 7522\n4526 12687\n3563 8652\n2520 6460\n6583 11150\n5146 5227\n9672 13613\n1046 3681\n8979 10001\n3682 7972\n2805 10259\n3345 9875\n9345 9668\n1382 13810\n9399 13728\n3132 4006\n5041 12825\n1240 14405\n5690 11432\n8480 14385\n2340 6982\n3297 12849\n8755 9604\n1941 4213\n1773 12089\n2360 8152\n2034 3155\n3298 7054\n5647 10532\n1559 7035\n8529 12246\n7862 9822\n9285 13045\n2752 3178\n3493 11747\n2542 11851\n10608 10639\n10397 14410\n10662 11648\n8906 9024\n4669 5853\n1088 13104\n393 3484\n11864 12827\n3411 9096\n1623 4138\n544 15227\n9432 9732\n6226 12402\n3421 6449\n10854 12752\n3668 5571\n1194 8986\n3859 6888\n12459 13100\n4079 12672\n8812 9597\n9315 9384\n6780 9413\n352 2943\n1854 8648\n12046 14790\n4931 6727\n3298 12327\n450 7303\n9425 10688\n10056 11432\n5349 7258\n8744 14181\n3208 6291\n4717 15118\n3882 13468\n3617 14936\n7796 13013\n3757 8809\n4835 13576\n4408 10106\n12400 12657\n2861 9702\n7773 8462\n4220 10741\n791 13687\n11428 15147\n4496 12318\n8985 10956\n8913 14130\n1573 12155\n6255 8412\n1937 4232\n3244 11176\n2674 4291\n1144 4878\n722 9656\n705 7203\n7960 13384\n5680 15282\n8906 14185\n6361 10287\n3479 15108\n739 13349\n6319 9916\n2800 4379\n7529 7749\n8577 14020\n1607 5018\n517 14837\n2007 2106\n2994 6164\n4041 7111\n2880 12943\n10154 14853\n9678 11566\n3043 7062\n2619 7463\n711 7439\n963 9451\n535 5821\n2923 9291\n1642 12150\n3870 14412\n9706 11836\n5339 11281\n1709 1901\n1167 15187\n10845 11788\n1593 14363\n2806 14532\n11536 14833\n1956 2376\n6940 9999\n763 3244\n13655 15142\n4610 12908\n11153 13271\n1152 7691\n3912 6848\n11075 11829\n11779 14710\n7119 9158\n602 950\n3689 11624\n5294 6684\n7229 13243\n7372 11422\n11094 11783\n6596 7391\n9054 9835\n4071 7217\n1787 14436\n584 5204\n17 14153\n9325 13223\n3474 10598\n9031 15223\n2942 6308\n907 2946\n1850 9215\n5915 7308\n1617 3088\n430 3605\n5446 5640\n5572 7977\n4699 6168\n5458 12513\n4523 7469\n7458 14857\n11449 11804\n5063 5649\n1437 8829\n673 4558\n1230 2403\n5513 5693\n7185 13953\n9714 10086\n11232 12435\n6261 9196\n5112 6594\n10625 11109\n11132 14536\n2874 6934\n4382 7673\n4535 6929\n1633 4802\n480 9750\n6163 8533\n3600 13147\n11554 14678\n3741 11603\n412 6153\n5218 10657\n9306 14139\n960 15029\n435 3095\n10185 15104\n12526 14200\n827 9456\n790 9757\n6832 10845\n2596 12934\n1220 1354\n1372 3890\n8602 11310\n501 5961\n2827 4174\n1585 7596\n8344 13139\n3830 9510\n1326 8252\n590 13305\n5212 5261\n6602 8084\n5226 7923\n3873 5757\n6817 15176\n9101 9831\n6503 10446\n5474 6898\n6774 15132\n4334 7506\n4355 7058\n3183 12991\n1656 1881\n1366 6201\n4922 10228\n879 13632\n1053 14529\n12720 12790\n7890 13086\n7355 11304\n4319 9215\n2091 14809\n9321 13394\n6848 7436\n7522 8248\n1985 10155\n11501 12871\n857 5358\n88 14569\n1476 3078\n1037 6377\n8155 13975\n14178 14883\n418 1978\n1973 5238\n3657 10261\n2879 5026\n4032 10585\n9169 9887\n360 6266\n4628 11110\n11197 13078\n8859 12318\n3789 11427\n2814 12419\n3350 4497\n502 4817\n10813 12039\n1120 10225\n1423 4368\n11203 12157\n9122 14369\n710 7404\n1097 3862\n12269 13942\n3222 13333\n13286 13924\n1773 5908\n3337 13621\n5048 13565\n12472 14462\n1276 11697\n788 15095\n1248 12331\n4988 10496\n1112 6895\n2148 12430\n9373 12599\n5650 12751\n2000 14749\n851 13124\n2669 9419\n6678 11653\n998 11507\n11488 15164\n1579 14507\n5239 10930\n11728 13469\n262 598\n3984 11180\n4191 6343\n8233 14501\n1061 9121\n2978 9017\n4331 9965\n1890 10391\n8216 12032\n215 1166\n10039 13019\n7758 10711\n287 12837\n6859 15255\n2665 14300\n6966 8719\n5373 7729\n3703 12196\n4104 7120\n5251 11392\n8965 11220\n4111 10100\n10059 13777\n5628 7593\n3760 8644\n12057 14375\n2160 6921\n2958 5203\n5242 7516\n11667 14912\n8458 10499\n1337 4837\n216 13869\n9894 14022\n8733 9864\n12002 14295\n5666 9187\n2492 9648\n6542 12258\n1431 14092\n6286 14571\n3359 6067\n1870 4271\n696 14731\n9671 15281\n6667 14583\n5745 13316\n1751 7373\n2944 11777\n8696 12000\n1635 13852\n3378 8318\n4758 13426\n348 9279\n1495 9476\n6163 12464\n1343 3146\n1132 8048\n3383 12835\n6563 8264\n1420 7636\n2581 5537\n5410 8537\n804 12523\n1277 11548\n11947 14913\n4898 13333\n10494 12827\n3032 10474\n1693 11058\n1514 7615\n4310 10264\n6613 12972\n6292 15220\n8688 15271\n4421 13728\n11084 14008\n670 3842\n4098 7986\n12860 14644\n9204 12203\n4980 9808\n10540 13244\n4355 6997\n4276 7257\n593 9700\n6020 7621\n7054 13676\n10856 11130\n3423 9103\n8342 9393\n10076 12940\n2581 4289\n849 10297\n6807 12359\n3057 4584\n5349 10514\n7879 11811\n4010 4081\n574 10846\n9579 10426\n2817 13877\n821 11528\n496 7807\n1628 14098\n1911 6616\n10376 12333\n2882 5048\n6105 9867\n298 12338\n3820 11196\n3914 7381\n9606 12575\n3110 7861\n1455 10012\n6438 13022\n5455 9675\n338 7716\n4535 10005\n2089 10857\n3625 14610\n2521 10265\n9762 11535\n850 10454\n3795 4488\n12749 14006\n492 12046\n2352 6254\n12460 14809\n4056 11072\n2868 9078\n5916 13671\n4909 5589\n5777 10931\n5108 13011\n659 4499\n420 9121\n11227 12347\n2324 9620\n1215 4604\n9958 11235\n10610 11630\n10285 11853\n1143 13820\n9339 11094\n7314 12896\n2784 13635\n4487 7880\n5194 5750\n13934 15126\n3511 7776\n157 4086\n224 14643\n296 9087\n4528 6228\n404 900\n6171 12062\n3783 15154\n1629 7236\n7898 12610\n11648 15163\n828 1984\n10086 13441\n10790 14334\n1334 12862\n2659 4484\n330 12491\n2833 4137\n4048 5610\n4085 10340\n486 5530\n473 13990\n8457 11941\n2405 11600\n5295 12364\n10495 13695\n8040 11829\n5081 15202\n8835 12889\n10581 14818\n6608 8644\n4588 6845\n3557 10883\n3699 14724\n4495 10556\n1009 11254\n3012 7275\n7936 14184\n6213 14923\n8722 14847\n403 10709\n4956 7479\n496 14999\n6101 10379\n2251 9633\n2753 10411\n6391 9317\n4767 9096\n4904 6502\n192 14339\n1226 9804\n5279 10137\n3493 14408\n7206 13967\n2640 11087\n3852 6848\n13941 14004\n4867 5146\n8873 10639\n5484 6242\n12033 12462\n5953 10611\n1676 11967\n8830 11629\n6864 8039\n788 1643\n3109 14143\n934 7374\n4993 6664\n9323 9986\n5555 12738\n681 3880\n7168 8672\n7136 12340\n2535 4425\n368 3493\n5214 14082\n6747 13422\n8222 11740\n2773 3291\n63 14296\n6751 14237\n8937 12819\n8455 9113\n615 8426\n5693 12993\n6074 7952\n10635 15144\n4268 11690\n1712 6605\n6587 7755\n3534 12544\n1714 10068\n2891 13041\n495 6290\n2533 7843\n6838 9759\n10146 12154\n7312 8179\n7619 9917\n4035 11583\n5219 6062\n1238 4405\n3372 6882\n5906 13081\n4976 10290\n6033 10153\n6781 9683\n10892 11578\n3096 6073\n34 4362\n4579 13150\n1340 5894\n6120 9350\n2896 5473\n8476 14561\n3400 3691\n11676 11930\n1628 11030\n4553 11694\n10677 14269\n9999 12308\n5193 5697\n3947 12278\n2161 15250\n5972 9955\n7465 11491\n1153 8509\n3739 5635\n3466 4916\n2016 6873\n2562 6905\n11850 14952\n2911 7529\n1305 2068\n12140 14467\n3396 7422\n10921 12843\n4279 5926\n3909 5499\n7247 14462\n7486 9907\n2649 11318\n2726 13121\n7660 9279\n1921 7191\n10118 11037\n4599 9732\n2673 5199\n5410 12955\n3944 8163\n6097 12608\n9778 14011\n7393 8632\n2954 9995\n2975 13201\n61 14710\n2313 15104\n3881 12108\n11479 11555\n5245 6519\n12456 14534\n8411 9951\n2222 3301\n8363 15196\n3757 8339\n4591 7438\n5827 10406\n751 5480\n418 14035\n1073 12931\n5574 11759\n6457 13316\n6915 12759\n3765 12027\n5703 8176\n20 7309\n6276 12268\n7139 11666\n8513 10069\n10249 13641\n6055 7903\n1157 12757\n8238 9843\n9448 11295\n3973 10086\n1319 12110\n6085 9494\n2662 12511\n2837 12357\n13059 13074\n6958 10008\n2222 3241\n13299 14345\n1813 10646\n2362 12097\n9907 12465\n10306 13606\n2897 9403\n2476 4995\n6670 9887\n8894 15003\n5032 9334\n1270 4848\n450 1664\n10194 13620\n4364 10434\n4759 9789\n10358 14053\n1434 14803\n3392 11730\n2197 13704\n7549 12691\n6152 7005\n3458 8375\n9502 12143\n1194 11142\n557 2473\n2858 14095\n2240 10783\n5913 13751\n4321 7881\n4964 14485\n2450 12623\n11144 12375\n8607 13204\n4023 6947\n3275 6798\n11698 11729\n12845 14198\n7506 11713\n1070 4813\n5022 10578\n7373 7832\n7 2882\n9593 13472\n12890 14182\n1358 2985\n3586 7850\n746 2411\n963 10196\n4760 7762\n4988 7205\n1256 7769\n930 9640\n9682 12086\n5631 6038\n2168 11063\n1611 7461\n3088 15258\n6343 12020\n4920 8341\n1087 2129\n8433 9384\n6608 9584\n18 5072\n7209 11465\n11299 12612\n10063 10397\n1791 8899\n7209 9309\n2559 13073\n6707 13713\n438 14414\n9860 11742\n4875 9203\n9394 14946\n6883 7492\n8348 11214\n8972 12462\n8986 14639\n9864 13141\n9996 11031\n8432 11766\n3663 6195\n11526 11817\n2338 7781\n8553 15251\n4003 12641\n5550 13103\n4892 9818\n4100 12362\n1939 11888\n1565 7645\n152 2216\n4633 14419\n8751 13183\n7667 12806\n3664 7855\n8051 13537\n4152 10343\n5543 12001\n5720 8955\n2431 14457\n127 4149\n6559 13753\n6512 14492\n882 8344\n6314 15266\n469 2346\n1201 13083\n3815 12531\n607 11999\n1174 13445\n3337 11765\n5411 14191\n6396 9398\n10771 15100\n2588 9450\n3159 15158\n5846 6140\n12894 13948\n9334 9703\n2272 12498\n4139 7816\n3221 6354\n2985 7756\n4900 11214\n12908 14781\n2661 4894\n4072 4956\n5525 12844\n2401 10895\n5826 7487\n5538 12139\n2409 11157\n450 2895\n3065 9176\n8166 11254\n3891 10845\n3122 12532\n565 839\n4252 10891\n8535 12161\n4616 10225\n3986 13196\n1193 11618\n11306 13320\n409 11519\n393 6478\n981 13361\n3744 11637\n1942 14963\n4982 7447\n5736 14427\n3161 6623\n9665 10889\n1843 2642\n2108 3032\n8478 12207\n10020 13997\n154 7862\n8238 13995\n11121 12498\n6218 6922\n5210 13491\n8064 11170\n6996 7064\n5487 7377\n5522 6464\n12610 13093\n48 10614\n156 8170\n1513 8672\n6571 14071\n1825 2723\n7402 12706\n4679 10719\n6157 6292\n4821 11942\n9925 9929\n1193 2057\n1149 2348\n5445 11539\n4258 8317\n4783 13877\n11276 11442\n6134 9878\n148 14952\n662 1398\n5700 6710\n2922 4216\n2067 7371\n6682 9572\n2529 12739\n10112 10238\n2886 11460\n4035 4131\n2757 10429\n4472 14642\n1704 9656\n5255 12637\n420 11718\n11052 11514\n12262 14002\n2802 11104\n4923 6394\n5565 5913\n6929 11373\n2289 12963\n3922 11916\n3154 6644\n1252 3518\n9913 14085\n11816 12301\n5021 9262\n4886 10516\n725 5263\n6066 9290\n651 4027\n5744 13085\n9781 13515\n3613 12169\n13986 14887\n10365 12514\n897 12226\n9005 10697\n11026 12637\n4658 13282\n5798 7727\n562 7044\n11148 12700\n2727 12189\n3349 8445\n2071 3941\n8132 15240\n1285 10740\n4021 5794\n5391 7114\n2754 11836\n14127 14673\n1817 8404\n10739 14699\n1787 12081\n11443 12090\n6047 10390\n4562 11286\n2749 12832\n2333 5654\n12515 14924\n6976 7012\n7358 13698\n8912 10382\n9762 10201\n1342 9584\n2884 3570\n1372 12279\n729 12898\n13461 15064\n4234 5253\n7814 8047\n520 7438\n2853 7210\n1875 13931\n5202 15224\n8737 14342\n6595 10130\n5379 13125\n29 6017\n3455 15155\n5861 10612\n2343 6085\n9442 14177\n4090 5479\n10300 10382\n5478 8375\n2789 3413\n2002 14751\n7253 10683\n5823 11928\n11444 15303\n496 4355\n4069 10433\n3259 12306\n4566 13515\n1435 14068\n4351 10851\n5557 13373\n1378 5538\n6396 7516\n3360 8480\n4580 5705\n8390 13222\n449 13211\n6249 6808\n7097 11850\n387 8595\n5878 9294\n5155 10558\n6686 7207\n1114 7383\n1023 5091\n4331 12562\n9398 13041\n3520 14724\n1397 5496\n2319 10421\n1324 11732\n6646 10599\n1225 15285\n5752 6021\n7782 11966\n312 3968\n11179 11742\n7870 13680\n414 2625\n6018 10102\n9346 14887\n1793 7876\n3291 5339\n3136 14653\n3852 12068\n7654 12769\n10254 14201\n8152 14040\n10879 14870\n4546 10849\n5886 13957\n4193 5714\n4399 4430\n4915 7014\n934 11960\n4685 10480\n11590 12529\n5579 6510\n8156 10582\n3227 14658\n831 9598\n887 10907\n645 1028\n3154 11625\n2045 4446\n6685 14305\n1285 6759\n7469 9047\n4690 8875\n4926 8656\n8199 13448\n5677 9843\n6748 9875\n12894 13072\n5032 9294\n3312 13559\n2381 7676\n2595 13326\n12315 12730\n3763 12701\n7440 10804\n607 13030\n9007 13861\n11045 13581\n13277 13318\n4771 12387\n5836 10000\n4013 8184\n7904 13856\n3019 9297\n3463 10400\n3722 4111\n418 11009\n2349 6553\n14378 14993\n3923 14445\n7953 7961\n15171 15285\n9191 11524\n3642 5038\n11358 14362\n690 9505\n1021 10538\n12303 13484\n2821 10811\n3588 9631\n8068 13196\n14010 14830\n1478 7589\n100 6262\n11753 13890\n6647 14896\n1658 13271\n1423 3695\n2271 8093\n5301 9340\n5604 14989\n3587 5663\n2717 6147\n3360 5213\n8378 13250\n6993 13483\n12229 12683\n539 9513\n6939 13608\n4369 13573\n1277 8505\n1367 12164\n7995 11670\n4333 15156\n11485 13660\n11770 13696\n5930 8798\n9095 9748\n9550 10295\n1324 14173\n3549 11648\n7491 12248\n5001 10396\n2783 11933\n2773 12337\n5660 10821\n3319 12918\n4833 4838\n10403 13831\n3654 6788\n86 4301\n358 11293\n5095 6175\n2745 13674\n9004 10365\n11496 13245\n1647 7273\n3086 12355\n2773 11439\n12233 14242\n3098 7122\n3151 12200\n12106 14209\n3647 9614\n8012 14894\n8928 9041\n1539 2285\n666 4409\n10029 11074\n6830 14601\n1312 11714\n6356 9001\n1864 5682\n1020 7508\n1985 3798\n2407 3679\n614 7049\n5619 6325\n5363 6342\n2073 3200\n4970 14792\n12620 12631\n251 4118\n8545 9216\n12577 14671\n8489 9698\n7934 10560\n5959 7602\n5397 12860\n3999 11894\n7684 8917\n6859 14673\n4466 13781\n627 13048\n9630 14635\n1831 8729\n719 8591\n2265 7901\n5152 7152\n2208 11785\n8521 12211\n2068 11891\n1490 13184\n6170 7590\n1213 3483\n6198 14402\n134 8647\n6518 15277\n1222 10215\n3580 12931\n1803 12794\n2829 14005\n7661 14370\n7016 10760\n9446 13297\n2360 3787\n805 9458\n5119 11509\n3161 14383\n6258 14186\n6721 14768\n7240 9363\n7397 7649\n9636 11709\n9641 14512\n6809 12365\n10624 11186\n9857 12743\n3128 12724\n1457 1738\n1619 8542\n10022 13556\n9661 15227\n12360 13520\n10890 15114\n2457 9499\n528 10980\n1721 6913\n5435 5607\n2286 14204\n9918 10355\n1889 13293\n6362 11218\n2779 14322\n8768 11300\n6812 13275\n5638 6415\n5813 9899\n4639 13121\n1745 9423\n6053 11340\n8581 10801\n3306 6290\n3476 14000\n2327 9384\n407 13616\n8814 14973\n368 822\n4029 5821\n635 8187\n34 14440\n604 15299\n2112 6584\n9174 12621\n6250 10665\n6251 12457\n630 2225\n3633 13891\n5125 7139\n2517 5465\n2339 10481\n14173 14940\n2271 14672\n1582 12604\n9883 12685\n3236 14957\n5360 6006\n5252 10786\n6059 11129\n7770 9629\n7755 12065\n1369 8835\n3704 3885\n520 7057\n2175 7985\n1923 14434\n10851 13935\n4422 7601\n517 3891\n7170 7747\n1146 10773\n1117 13933\n4049 7527\n2662 9283\n9989 12251\n873 5630\n14441 15182\n1329 3827\n8573 10654\n4658 9226\n5007 10077\n3196 6643\n6619 8294\n3475 13796\n10003 10196\n2880 14820\n2406 4578\n4582 14967\n3841 8229\n5600 7850\n7857 10081\n5396 7350\n94 4121\n8616 11011\n8245 9134\n7877 11950\n997 7499\n6693 13762\n607 3650\n1641 5075\n10825 13482\n3043 10590\n1481 14419\n2013 2098\n7476 14670\n6199 9473\n29 9364\n5711 13303\n8944 15124\n305 10022\n12950 13305\n9434 13116\n1867 3974\n8521 15206\n5755 8797\n9572 14752\n7747 15210\n10625 13200\n12995 14687\n6743 13357\n12929 13299\n8841 12637\n11209 14936\n1017 4763\n4770 9029\n3806 6621\n2574 4007\n1876 14208\n3900 9363\n1881 9468\n1949 9144\n8526 10484\n2377 11755\n936 12367\n6167 14430\n7792 8932\n2474 9617\n3138 3799\n6782 13788\n13250 13852\n6009 8142\n1224 7645\n4777 13009\n11850 12645\n3756 6985\n9756 10633\n9135 11395\n452 10731\n10352 12878\n1161 7033\n500 12826\n1533 3964\n5374 6256\n7684 8199\n5067 9225\n3425 12326\n837 12613\n10024 11955\n5089 10175\n1071 6746\n7330 11161\n6725 14555\n184 12752\n419 14987\n8156 8866\n6970 11970\n8679 11619\n476 9764\n12293 14332\n1167 13607\n2350 4926\n4235 10777\n2202 8171\n7939 8989\n2315 6096\n3916 5726\n2688 5586\n5828 8968\n10611 13787\n4645 11800\n912 1266\n4329 6475\n527 1376\n9142 10642\n5049 7593\n199 13277\n4725 6993\n5572 6814\n1460 5631\n3225 12205\n6296 7494\n5698 11934\n9003 11297\n5704 9677\n2847 5768\n958 7195\n10221 13422\n5394 12304\n12526 13955\n6423 14605\n258 5784\n381 11816\n533 5296\n3978 6313\n4486 6610\n504 7592\n2314 8387\n10642 11915\n6388 7943\n6944 10315\n8227 8632\n4757 8625\n9526 9879\n5334 9928\n7493 13193\n6929 15023\n2155 12767\n5189 11274\n641 12129\n10287 14272\n1210 6851\n153 6035\n7458 8457\n3170 11427\n5808 9440\n2844 12646\n8538 12078\n7770 9457\n6836 11811\n9919 10513\n3667 10616\n5608 14882\n8031 10316\n59 1615\n4062 12088\n10229 11608\n8768 14070\n9659 11652\n1383 12179\n9176 11934\n2203 12684\n8244 11408\n7146 13403\n2613 7725\n2851 5721\n3793 5951\n3699 6350\n697 1713\n5600 6419\n3028 13984\n1420 8159\n5738 13353\n7227 14427\n8341 13023\n6017 7637\n11923 13156\n4688 12431\n7026 8379\n9090 9130\n8187 11552\n5068 10107\n9131 11587\n3960 9583\n5521 9402\n2660 10625\n13335 14718\n10331 12723\n12137 13001\n3409 9096\n5921 9260\n2530 7724\n3225 4678\n2310 8194\n9686 12290\n6453 9332\n648 8714\n3399 4617\n2411 2694\n2495 7885\n1094 8163\n8024 8534\n1467 15163\n3134 11027\n234 13318\n4601 14189\n3697 10657\n5517 6402\n225 9134\n256 11096\n7322 8498\n652 5200\n7576 14377\n7318 13032\n1754 6422\n9025 11073\n2879 8606\n11829 12160\n8854 12941\n3852 10138\n5589 12109\n1066 5043\n3672 4960\n2284 4504\n1704 3142\n986 3797\n2258 13609\n791 10400\n1662 6500\n13270 14826\n2833 6710\n9270 9527\n10011 10258\n12830 13774\n7894 9548\n96 13848\n4265 10848\n2137 6402\n5962 10573\n9921 14974\n9210 13560\n4623 7757\n6158 10767\n7511 13116\n2430 15133\n11319 11546\n5261 12302\n6203 12358\n977 2764\n1564 7697\n3692 12891\n3478 11075\n5937 11260\n13591 13901\n3948 15258\n9664 13496\n11679 12954\n5664 9249\n2785 13107\n13205 13905\n8599 11756\n1844 2629\n8765 14592\n7079 14189\n3015 13995\n9376 14346\n1375 10148\n3123 14991\n7289 13676\n5621 10090\n10283 13008\n4186 11619\n11648 14956\n2489 8027\n4630 12485\n3631 5657\n3430 13953\n939 12088\n10231 14804\n6032 7318\n4211 4816\n5378 8144\n2540 7294\n4120 7385\n2600 9068\n888 5760\n95 1096\n5117 8758\n12723 15190\n3581 6129\n9657 14545\n3005 14572\n9445 15217\n2471 12934\n1025 6863\n4818 5392\n9329 12315\n3383 14713\n526 1859\n4944 7620\n8408 10735\n3242 6926\n12102 12984\n887 7656\n3014 14984\n1672 13997\n4562 10547\n4546 8981\n1259 11662\n2751 8272\n3173 7045\n9013 12366\n1802 7786\n13780 15060\n5749 10705\n3697 14076\n2428 13850\n6723 13567\n263 7826\n5632 6462\n1066 6901\n1213 13248\n12054 15261\n303 823\n473 4647\n3816 7967\n470 2233\n8540 9255\n7831 8977\n6001 7774\n4857 7095\n4731 10612\n13251 13383\n3924 7197\n6101 9471\n6764 8944\n6793 13591\n485 13082\n8321 8742\n8880 10820\n6624 8225\n1854 13359\n4373 4657\n5831 6870\n247 12670\n9415 10571\n2456 14046\n1299 8684\n4624 7314\n8492 11372\n2593 10155\n11595 15105\n1009 7996\n320 11513\n7920 14550\n11889 12946\n2961 6367\n689 8941\n515 2634\n7848 14872\n5737 11894\n12972 13520\n6234 11786\n8890 13237\n2446 14088\n3411 15019\n1803 3530\n4180 14676\n239 1609\n2234 11186\n9283 15021\n8311 12419\n3932 11269\n6766 9299\n810 11981\n720 14818\n7161 8359\n11980 15129\n341 8178\n6719 11968\n2262 9893\n5234 6277\n4640 12606\n11623 13645\n8457 12216\n6141 9643\n9596 10222\n7560 12762\n1936 7163\n7786 14014\n5088 13163\n6289 11028\n632 10300\n921 9671\n11116 12841\n1927 11696\n9985 12516\n459 9183\n9442 10359\n9674 11798\n1235 3009\n5419 9640\n3099 3290\n12379 14825\n2047 7102\n10939 13130\n7025 8494\n2838 7074\n839 6315\n1961 10452\n125 2932\n7062 7918\n949 4319\n13072 15016\n5530 11760\n10654 12579\n276 2025\n4028 10622\n7571 14203\n12027 15014\n715 4687\n456 4034\n3723 6258\n2364 10010\n6830 14155\n3818 11761\n1959 10475\n352 10635\n7449 11380\n9133 11798\n1543 13415\n1621 10476\n4458 11367\n3027 8654\n6964 14447\n6209 8715\n7442 12044\n2163 9269\n590 3648\n1364 8480\n218 13433\n6506 13757\n2459 10324\n6482 13951\n1943 13430\n2771 11465\n2455 11991\n1690 9423\n2793 6241\n6429 15119\n3969 11414\n4444 10763\n4925 14944\n968 977\n6237 9366\n11849 12170\n6331 6750\n1635 11094\n11778 11809\n1872 12904\n6159 9055\n11603 13617\n8373 8629\n9217 10170\n6337 13024\n11971 13840\n11443 13554\n6513 6735\n5507 8319\n525 9133\n8293 10411\n7561 10472\n3482 5785\n1639 9547\n512 11284\n7660 9088\n6399 11637\n8874 13224\n4514 14454\n10315 14486\n3678 4993\n7732 9921\n395 8188\n11281 14515\n4835 12084\n629 12385\n6842 12643\n4990 8522\n157 773\n4934 7554\n4921 13408\n4301 7601\n4639 8064\n4829 13088\n10329 14579\n9218 14580\n9256 13581\n6862 13928\n3014 12950\n37 12646\n1237 3457\n61 10104\n5481 9758\n7692 14873\n12771 15138\n6946 12427\n5524 12706\n5066 10087\n2757 6722\n4789 10327\n10099 13601\n3316 10406\n1191 11088\n750 8207\n5196 9883\n4818 9952\n1450 11994\n1577 7028\n8715 9121\n150 12099\n4666 5798\n11810 14612\n3713 5558\n751 6617\n11261 12525\n7964 8967\n725 2168\n10598 10709\n4387 11212\n4877 8172\n10745 12951\n2497 8208\n11112 15305\n679 14195\n3551 9857\n10148 13829\n4758 6124\n1142 11428\n2770 13870\n4416 9804\n156 6375\n3732 6124\n6186 12503\n2136 12045\n9359 12192\n4270 12678\n11013 12762\n2050 10619\n136 12778\n778 10561\n1238 12633\n5373 11556\n4732 10024\n9725 9795\n8379 11426\n6277 11983\n11510 12459\n4584 11712\n10791 15153\n10971 12558\n3969 10198\n8496 10317\n2689 8949\n1009 6834\n1182 2115\n151 5970\n6324 9834\n4300 13796\n30 11352\n6156 12497\n194 14544\n2111 11685\n2508 13044\n2754 5259\n13630 14013\n10876 13334\n2846 7665\n10540 12543\n1820 7889\n8657 12583\n9056 13516\n3989 6507\n2147 10038\n7526 9505\n9624 10982\n2553 8306\n10978 11495\n1577 3250\n1840 12259\n7126 10726\n993 3728\n1745 10499\n3958 5809\n10871 11553\n5894 9784\n6460 7827\n2529 4134\n5635 10364\n10826 11461\n8682 12194\n1191 8734\n12242 12645\n3014 7879\n6009 14961\n3434 10510\n271 13003\n7030 13749\n9989 11597\n2186 9322\n5203 6920\n6886 11930\n86 5889\n492 866\n5739 14015\n5573 7944\n12605 13565\n3596 11115\n6938 8858\n579 9910\n12329 13363\n4308 10534\n3475 4660\n4043 6653\n5969 8954\n7287 15124\n6296 11073\n2741 9729\n1295 3019\n4307 11658\n1464 1596\n6977 7965\n539 5918\n7663 11525\n13292 15102\n9778 12758\n3409 4238\n5362 9925\n3701 11442\n9204 9646\n3220 6075\n14404 14721\n6966 12459\n2313 15081\n10121 13659\n3296 14759\n2959 10580\n1012 2897\n2619 7323\n7169 7598\n6494 8626\n3372 12564\n11882 12101\n4415 9110\n4357 6049\n8532 14445\n9589 14642\n1343 11943\n692 3266\n621 4536\n9143 10898\n9174 13601\n1811 10251\n1974 3780\n641 10173\n8292 14330\n6056 7519\n6296 6817\n8149 13386\n2535 8690\n2644 4654\n7868 11430\n3007 4742\n10892 11337\n1864 8720\n6344 13554\n8965 13656\n2156 3836\n8594 9752\n1970 6914\n1568 13967\n7625 14346\n2786 12144\n8307 11831\n10380 12979\n6487 11340\n2975 9902\n1000 2630\n10478 12892\n3778 10942\n7255 8123\n1590 2523\n10172 14534\n6409 9112\n903 10641\n3503 14138\n5165 14641\n13559 13682\n1626 6536\n6798 14400\n10928 13072\n2513 13287\n791 14653\n659 3900\n34 2059\n5081 14169\n9688 14130\n9493 11837\n3148 3974\n9941 11503\n9057 14399\n9907 10011\n3690 6578\n7003 8041\n3948 13383\n2314 3153\n49 8437\n14218 15145\n3026 7822\n11590 12862\n1031 5664\n9874 10909\n13148 14230\n5184 7327\n7543 7691\n3337 9950\n4636 7960\n4968 7452\n784 6594\n5535 11418\n6482 6929\n749 10433\n2095 3321\n5286 12883\n5727 13515\n3820 6562\n9782 11350\n5562 7611\n8026 14116\n7591 10735\n5603 7126\n5205 6700\n7408 11426\n4602 14357\n11129 11200\n3823 7417\n611 12911\n7106 8004\n797 5151\n781 5458\n4338 7914\n3776 5790\n13681 14216\n2320 8342\n11245 12271\n2905 4707\n1179 3554\n9445 14764\n1969 14228\n11530 13768\n10844 13469\n7299 9631\n297 1154\n4056 4064\n3277 8161\n1506 12801\n4322 12815\n13020 14112\n2182 13120\n486 11358\n8293 12347\n3179 12568\n5881 12902\n10153 11326\n1881 10745\n8694 8931\n6612 9506\n14308 15162\n2886 5339\n2127 14776\n2282 4399\n820 14513\n12072 15026\n2279 12863\n8892 14325\n1466 11348\n11023 14563\n8900 14213\n5154 7541\n685 4499\n8198 11070\n2754 5541\n4913 6226\n3068 13247\n10609 15208\n2968 8003\n10902 15196\n867 1375\n7551 12810\n910 2932\n1662 13272\n12578 13299\n4746 11926\n77 4274\n3258 14563\n13174 14304\n2068 2248\n3268 5403\n957 7118\n1175 5305\n12051 13025\n6017 6172\n368 1536\n7603 12864\n8445 10370\n11748 12824\n219 786\n7188 13766\n11009 11326\n9810 12844\n8381 12288\n6353 13394\n750 6880\n11675 14166\n1516 12703\n9757 11155\n6586 11430\n1515 2004\n426 2513\n160 10169\n297 4423\n340 11414\n4514 9378\n73 7191\n693 9601\n5274 6262\n5513 14317\n395 3739\n564 6081\n13012 14745\n7906 11676\n3997 7968\n3990 13127\n176 4781\n4777 12468\n4055 5886\n1015 14626\n10565 13271\n7505 13472\n11690 13040\n8562 12717\n2380 8876\n8120 14921\n3311 3914\n2092 13509\n10654 12743\n2740 8969\n2122 11061\n3951 3987\n3887 4690\n1549 4121\n1523 7116\n3704 11699\n889 4467\n5989 7782\n1399 14080\n2385 5567\n7852 14510\n9561 12587\n3067 13327\n4534 14325\n9761 11426\n8750 12986\n3064 7038\n2388 7303\n5115 10772\n11528 14642\n5991 8427\n6441 14816\n167 11829\n1054 7937\n7271 14429\n6130 9070\n9900 12546\n5074 5087\n10893 13865\n1116 10809\n1783 11304\n12170 13166\n5759 8931\n9892 11323\n1689 5254\n6584 7288\n350 15141\n2803 10820\n11771 12918\n3168 12016\n2428 9893\n3909 9874\n1733 9375\n6580 10290\n5641 8474\n886 1973\n7372 9000\n4788 7996\n8755 11030\n7187 10731\n10078 10432\n3099 8571\n9531 9697\n11177 15253\n2084 8055\n2705 9971\n2754 11922\n540 2847\n287 1786\n8192 14257\n1767 4994\n3531 9908\n8275 10747\n1674 8090\n1520 11621\n10495 11373\n3403 8823\n4491 11431\n12270 14461\n7941 10148\n7358 7419\n2401 11783\n7052 14759\n9825 10232\n870 11292\n11123 13537\n6095 15307\n5964 14240\n2122 11695\n3757 6028\n2754 3743\n1195 12821\n11166 11261\n12792 13028\n5354 12796\n4254 7405\n4466 13412\n12219 12700\n10331 15164\n4161 5178\n12881 13465\n4994 5590\n5078 13721\n8801 14601\n8880 10532\n8817 12366\n534 15046\n3081 9947\n1986 3654\n10307 14521\n10091 10419\n316 12855\n3974 7322\n1082 8358\n6936 13524\n411 13625\n5991 8168\n791 6559\n7890 10523\n5330 14760\n2977 6752\n2035 13231\n5683 13282\n5799 11212\n4914 8866\n3699 10676\n5693 6304\n1043 15112\n7340 10832\n410 8319\n2498 13687\n5737 6615\n3601 5956\n7198 14746\n9322 13050\n3048 11859\n1943 6495\n3084 6689\n5674 15295\n7118 7692\n2303 10073\n12217 14010\n2269 4899\n7311 11767\n5544 9154\n49 1581\n12499 14939\n11706 14260\n4939 15068\n2142 10777\n8803 13279\n6834 10025\n2430 5968\n7930 9966\n2236 3128\n8674 12944\n9018 11877\n8017 10883\n7612 14632\n2758 13268\n2386 10446\n6313 13289\n4001 6803\n2667 6759\n4740 8550\n5003 12390\n4175 5525\n5127 13129\n3515 14352\n3130 5807\n7679 10040\n2443 7982\n6629 11024\n3444 14658\n10921 11526\n7013 14984\n8078 9271\n8051 8223\n693 10144\n2085 7681\n2804 6916\n3692 13553\n3659 8099\n5415 13610\n7189 10011\n7121 14854\n9939 10204\n72 2061\n697 9900\n4130 7800\n411 9639\n2180 5186\n772 8396\n6327 8229\n3181 14078\n10763 11195\n7044 10261\n5419 10643\n3986 10746\n2958 13881\n2683 8096\n5335 10881\n1113 8622\n2357 8931\n1188 14795\n22 5374\n9479 9567\n3100 8520\n6772 8057\n4107 9744\n5082 10021\n1592 10188\n5921 8887\n306 4820\n1893 6099\n6447 10777\n68 8661\n6116 6943\n11352 13627\n4972 12899\n3616 10849\n10557 12328\n6598 9656\n5323 6611\n673 7698\n4752 6134\n7437 13578\n918 6790\n9152 11842\n9854 11380\n630 9246\n4056 10189\n6398 10459\n11630 12170\n8181 11693\n11117 12898\n12585 15267\n4776 8831\n10923 14037\n6188 14683\n13936 14245\n4280 5917\n3580 13102\n520 3099\n7579 13811\n7913 14888\n1182 11792\n6905 12475\n7573 9015\n6252 13798\n13517 14998\n9416 13760\n1158 7074\n11471 13953\n2414 4533\n912 13338\n3828 13110\n1073 6973\n1986 10685\n2904 13262\n644 7302\n8034 9136\n8098 8276\n3885 15166\n1524 2642\n7507 13684\n834 9564\n5855 9306\n3666 14155\n2617 9265\n5604 10046\n811 5628\n10399 11950\n2875 7282\n4106 14391\n7619 7766\n2431 3803\n1011 5514\n656 14062\n8 12110\n1487 11859\n4677 8457\n8679 12410\n5365 8059\n337 10572\n5010 8379\n4220 12883\n2350 5867\n282 679\n5048 14303\n2304 8865\n2668 7208\n4036 13274\n1297 12631\n4860 8796\n6888 13139\n11888 13048\n1409 1421\n6492 8251\n6457 14509\n6168 12511\n7833 14825\n2649 14310\n3440 5170\n2895 13201\n6677 10094\n6824 6961\n9477 14288\n2269 12783\n2301 6584\n6369 11668\n5438 7159\n2431 12090\n7405 10882\n12250 12435\n1384 11550\n3500 12180\n12372 12929\n7092 13101\n2444 13999\n10624 12813\n21 14096\n3754 10465\n6480 12318\n277 15162\n2851 6510\n688 12569\n2489 8623\n6524 12293\n6226 12133\n3864 6990\n1821 7024\n1014 13797\n2736 3047\n5640 7939\n5606 8467\n4955 7715\n5475 10551\n9179 14377\n5585 9079\n3431 15094\n436 9278\n1228 11859\n3386 13656\n1467 8368\n5783 6353\n1385 7988\n2691 11074\n7877 13033\n8157 11436\n8357 14502\n7169 13858\n3118 10521\n451 4771\n596 5292\n4501 10112\n52 4705\n2643 3948\n3945 13389\n1885 4304\n5650 6829\n3025 13000\n3777 12020\n5966 13231\n9371 12089\n2161 12175\n9255 10814\n3007 8226\n8192 9702\n12568 12635\n8567 11042\n272 8386\n3003 7330\n503 5834\n5749 12214\n586 13537\n4245 9514\n148 12115\n2552 2767\n6564 14265\n12124 13000\n7626 13491\n5871 8697\n10092 11041\n4204 9396\n1789 15041\n160 6554\n11749 12234\n1494 14881\n3698 7605\n10777 10912\n7025 12269\n3302 15027\n8853 11847\n4935 6557\n8872 12896\n5647 12193\n264 7505\n5512 14718\n4869 7300\n13366 15147\n100 9516\n1804 3901\n3631 5653\n1603 5082\n2130 2261\n3173 6020\n13492 14239\n739 1001\n8396 11114\n10387 11229\n4051 8509\n5168 8091\n9624 12405\n4690 9268\n12119 12366\n3417 6047\n4377 10833\n9605 14713\n4012 4596\n4069 12317\n9572 14944\n2605 6540\n2333 2498\n6313 13965\n3141 3269\n2856 13874\n361 1814\n5921 14374\n10367 11980\n7959 14241\n8066 14175\n9287 12600\n3207 6866\n5011 8490\n10822 14594\n11973 13372\n1332 6963\n5959 8511\n8612 12401\n1505 12398\n265 10930\n11155 14968\n12154 13957\n231 4976\n2982 11235\n6568 8705\n1384 1919\n2245 13148\n2320 12464\n7671 14000\n1800 14038\n8367 11379\n1882 13113\n4609 13259\n3254 10364\n1467 2322\n6645 14377\n2455 8922\n3508 6859\n5257 13779\n3788 11212\n3719 5268\n4584 13975\n10299 11316\n1022 14439\n2745 13957\n2652 9168\n363 7926\n185 4323\n12001 12867\n7927 11815\n9797 11768\n2066 12796\n7437 14596\n2836 7257\n8981 15225\n5104 6864\n4050 9952\n3998 14397\n4752 13696\n8099 11984\n9927 13206\n3594 10032\n2125 9084\n9223 13335\n1929 5524\n8254 8485\n4631 11413\n3634 6480\n14004 14419\n1444 1630\n4681 10730\n3849 4284\n11929 13478\n1416 5238\n1120 8449\n3728 12351\n725 3457\n3214 8852\n503 12219\n5742 11233\n349 14890\n8595 10210\n5749 7776\n3666 13853\n588 4440\n12192 13057\n9734 12673\n11668 13458\n74 13491\n2510 13042\n22 9345\n1590 7710\n10489 13450\n4985 12684\n1407 6957\n2235 14123\n1556 9109\n8922 9473\n3650 12216\n2263 8607\n7452 9455\n7938 12535\n3715 13103\n1159 10176\n1652 9720\n412 7836\n7716 14692\n2137 4002\n984 12727\n10304 10357\n6601 7597\n2247 12039\n6985 14081\n6733 15142\n4308 9668\n3451 8082\n9473 10356\n4067 5877\n3158 6984\n3250 8985\n4533 4850\n7538 11713\n1069 11517\n3526 9054\n2811 10697\n7750 10333\n8673 13527\n7571 12721\n9991 12245\n501 7748\n4132 11397\n2247 5877\n1052 4114\n12143 13427\n1059 6725\n2987 4731\n5878 11488\n3073 13610\n3017 6199\n645 2095\n932 957\n5113 5173\n8118 14286\n5895 13324\n6668 11535\n7388 9013\n1548 7611\n4219 4451\n1585 1870\n2101 7808\n5212 13745\n11586 12195\n10506 14896\n2650 7229\n1544 3728\n7282 9285\n8753 15180\n4148 6134\n706 9807\n804 12917\n10104 14386\n10155 11015\n9919 15285\n3776 11838\n199 286\n11843 13087\n13824 14811\n3543 3857\n1226 2353\n3209 9566\n4850 7567\n9320 10566\n7558 13136\n2824 13374\n10206 11847\n2962 13812\n12491 15246\n14282 14379\n9586 11740\n5643 9183\n5588 11612\n5669 9542\n3936 10384\n7399 10875\n8074 11157\n1445 12043\n3787 8401\n13718 13941\n13240 13565\n11400 13842\n6276 13793\n3694 6299\n3004 3043\n6195 6336\n12692 14602\n2007 9044\n8755 9538\n3367 5539\n837 14197\n4200 5067\n4890 9037\n1997 11036\n1031 10895\n14449 15076\n437 6944\n660 2053\n3903 10310\n6715 13151\n10621 10883\n3927 6135\n5941 8836\n4540 14322\n3396 12056\n4796 15273\n14258 14875\n7495 9652\n9655 14552\n9895 14415\n1322 1921\n4585 11073\n3496 14953\n5782 5936\n1269 7065\n9012 12043\n8386 13674\n1403 12806\n3518 12395\n5849 8315\n126 4718\n1309 5785\n13918 14645\n7929 9481\n4703 5151\n6974 7140\n707 2659\n310 6839\n9084 13629\n10960 15245\n122 15058\n7541 10287\n1919 3296\n3162 9129\n4470 5592\n2731 12507\n531 5868\n3341 12510\n5085 11811\n1276 8940\n1148 10122\n10138 12031\n386 8306\n6851 11873\n267 2251\n5352 12103\n9583 11422\n589 11715\n5617 7969\n5856 7061\n2408 11267\n2411 6791\n461 13246\n2183 4602\n8340 12608\n4255 11876\n8923 10146\n295 5220\n407 12094\n10606 10801\n4127 10903\n9393 10562\n10241 13871\n7612 11535\n9668 10345\n1829 13170\n14413 15083\n272 11438\n115 6009\n8877 11351\n8525 13268\n193 1566\n2158 5345\n4497 10416\n3772 10744\n4310 10790\n3300 11358\n2826 4205\n1878 5559\n12758 13178\n7917 12057\n2281 12705\n3325 14370\n3188 12830\n9370 9764\n2359 9507\n1476 6211\n7651 10614\n231 6518\n1940 13460\n4198 8856\n2668 9659\n8310 11374\n4853 6894\n6846 13957\n8646 15230\n1918 13062\n176 13577\n1404 5574\n3411 11711\n11060 11248\n3962 6181\n2250 9105\n7438 11784\n10594 14665\n2049 13587\n2903 6783\n12421 13647\n417 3250\n7037 14630\n2102 7252\n6015 10739\n10717 12798\n6142 8353\n1490 4329\n6486 10708\n10060 11899\n5035 13560\n10131 10682\n566 10643\n1527 2926\n1000 7671\n306 9142\n2515 14792\n8338 11404\n1489 1874\n2173 13780\n6450 7050\n5594 7816\n1902 13842\n643 5320\n4154 13441\n12245 12340\n4730 7616\n13581 14182\n435 8373\n9765 10818\n7190 9458\n4820 14900\n2170 8851\n5961 14100\n5206 15071\n7597 8232\n3964 9543\n1772 3307\n5754 14417\n8419 14501\n3054 14547\n8193 11576\n3824 8469\n646 14910\n4387 8801\n12064 13025\n427 2271\n3767 9587\n5232 11335\n9659 12012\n21 4087\n157 14739\n1891 8027\n3492 15155\n6607 12858\n8589 10672\n1424 2233\n7227 11073\n6772 14289\n7045 8944\n11623 12003\n2275 3068\n6483 11151\n534 8371\n1869 3689\n5694 9992\n141 2271\n10438 14663\n1186 6680\n11281 12415\n5355 8141\n7384 11546\n10316 11263\n7865 11076\n12953 14117\n8859 14292\n8305 9621\n2504 6280\n1603 8957\n5095 10607\n1665 8200\n8762 10108\n10249 10351\n10885 13765\n9917 14748\n13481 14983\n4228 4547\n9901 14047\n5901 12007\n7448 11043\n3845 13233\n8469 9833\n7353 12287\n3321 4791\n3218 3746\n3512 6590\n4404 9340\n4776 11202\n1691 9892\n5767 9612\n8194 8575\n3238 15006\n5391 9220\n3691 5029\n3410 5563\n2506 3400\n13525 14735\n2941 7799\n945 6756\n1292 14769\n3573 10441\n6919 10393\n5025 14911\n1235 14878\n1353 13351\n9502 11914\n5441 6098\n2536 12562\n2286 5799\n2663 8481\n6173 7947\n1788 2671\n4948 7463\n11546 14461\n2206 12120\n7276 10164\n5359 15191\n10363 15099\n4443 7048\n3428 7806\n2409 14541\n2739 14873\n8526 14400\n2822 12232\n1483 9636\n468 9441\n9926 12757\n4986 7160\n5206 10564\n9075 9324\n13306 15216\n6039 10101\n3234 10339\n2216 2286\n7841 10726\n2578 8757\n7348 14133\n9098 9390\n5715 12856\n9376 10804\n3096 7766\n5742 6157\n5905 15103\n5247 5297\n1556 7998\n4319 11091\n7239 10152\n3602 7788\n4552 15154\n436 5081\n3235 6757\n7195 10750\n6183 13998\n2101 14772\n6024 7622\n2043 8516\n6411 13198\n436 12215\n6629 11843\n4063 12508\n629 14924\n159 10951\n7623 13611\n10853 11798\n990 4839\n4363 12431\n3027 12376\n8861 12764\n12992 13702\n3888 6110\n1882 14653\n1548 5543\n7669 11909\n626 10554\n9719 13829\n2373 6701\n39 9638\n3605 5332\n10472 11743\n3394 12463\n7073 8864\n719 14016\n5977 14057\n1275 13387\n8968 9707\n689 7935\n2163 12147\n2387 14894\n2183 10939\n4221 13249\n10389 12801\n2044 14179\n6188 11911\n3580 4914\n857 6271\n1590 12915\n3767 12901\n2401 11133\n2579 8549\n11291 14846\n6677 11440\n5028 15270\n4823 6515\n12058 13724\n2194 10433\n3896 10018\n2279 7337\n1289 3448\n9816 9956\n5998 11502\n25 4205\n6195 13018\n6371 14593\n292 10498\n3296 11581\n3043 4222\n790 13680\n436 562\n9312 13606\n5479 13045\n239 12413\n2083 10128\n5966 15013\n6029 6107\n3687 5991\n4178 10424\n10067 11311\n7258 10491\n312 9303\n7148 13624\n9623 10884\n2386 14684\n5232 7849\n6523 9983\n9594 12974\n1829 14571\n5307 11108\n4932 11189\n14656 14726\n1140 6713\n285 7529\n11238 11257\n9169 14675\n4476 12401\n1705 6772\n6712 6985\n3618 14832\n5884 7038\n764 15235\n1979 6102\n12606 15194\n3843 4130\n148 1298\n2822 3417\n8540 13539\n9446 13357\n1266 3053\n9260 12519\n2011 6280\n5570 12210\n2925 9090\n3679 6979\n4938 11204\n4193 5257\n2655 3174\n9328 10320\n9683 9865\n4185 12532\n1524 7367\n2203 13028\n5169 9312\n5584 14453\n8832 11797\n8745 10676\n2485 6079\n7958 13053\n7931 9330\n10174 15195\n4965 14930\n5298 10065\n3627 8288\n991 11233\n1978 7853\n10747 15108\n7584 12403\n12005 14349\n7133 8617\n2456 15104\n1641 6690\n3670 4437\n3606 8747\n2509 3833\n2564 8355\n5266 12917\n2574 2925\n8532 9133\n471 6667\n1073 7025\n6223 9329\n5795 6640\n3183 13363\n990 9193\n4232 6802\n11536 14852\n3161 5011\n4920 6906\n817 1368\n4302 13061\n2586 11433\n13054 13443\n3951 11837\n1265 4179\n2621 14735\n13325 14975\n2508 8189\n5834 11282\n1183 11250\n5253 15128\n10581 14108\n4666 10102\n4978 13477\n3293 14460\n2890 8641\n2593 6955\n433 8448\n1930 7153\n5563 7844\n5163 8230\n6102 7434\n2873 12276\n6410 11897\n6336 13673\n3916 14305\n1077 5524\n9222 13672\n4541 11813\n5405 12014\n3199 11933\n3223 11556\n7277 7688\n2654 8870\n142 12112\n8105 9489\n3136 4967\n610 10099\n228 2320\n2700 5400\n5674 11434\n235 10696\n7352 13898\n5343 10620\n917 13132\n1514 13661\n8972 12662\n9824 13402\n5477 6273\n3143 9045\n1631 11568\n1294 9097\n6161 8589\n11833 14393\n4009 10989\n4805 7570\n5548 7389\n2238 14821\n4265 11582\n3231 5803\n4174 11312\n11777 12418\n1123 13989\n9547 12120\n5773 7374\n7315 7620\n152 2568\n3308 11760\n2370 11147\n4133 4793\n2831 6598\n729 13218\n8875 13619\n6373 15011\n3796 13427\n2198 7679\n1530 13319\n7601 11821\n2466 8929\n2703 3176\n3767 4400\n4900 9387\n722 9478\n2139 11950\n2764 11111\n10188 12696\n11874 13647\n4844 14434\n12757 13617\n4948 5045\n73 6535\n3895 14735\n10005 10757\n11410 11553\n5494 5510\n2136 5347\n3891 9994\n6616 6746\n1677 3858\n13717 14885\n7368 11063\n12903 14798\n10893 13181\n11884 12386\n1746 10070\n2658 13925\n4465 8582\n2589 8427\n7054 9617\n799 15086\n4736 10092\n12197 12933\n194 6019\n2140 13334\n5280 12544\n2267 5543\n12975 14306\n2958 9651\n11984 13094\n12077 14598\n10561 12579\n1914 5008\n8057 10871\n1592 9732\n4053 4889\n2665 11040\n10221 12326\n936 13476\n2864 15188\n4640 12997\n2856 7206\n9266 13171\n2392 2577\n2358 10555\n3265 4780\n2799 14512\n2183 8050\n11247 14267\n10192 14610\n8955 11930\n467 2943\n5413 7418\n3560 13402\n2750 10711\n5436 10094\n5578 7963\n1270 6568\n2353 13798\n13428 13762\n6802 13197\n3567 15266\n14066 14255\n6487 6805\n9933 15229\n1509 6046\n6312 7909\n1664 14258\n539 4652\n4229 4455\n11438 11632\n435 534\n1135 2088\n1711 13600\n3463 14684\n9465 10819\n7712 12151\n1213 2323\n4989 9804\n2881 10183\n3163 8137\n3060 12443\n5601 10250\n4072 10434\n11667 14658\n12047 13514\n3357 3745\n621 8824\n2408 3969\n68 7655\n2516 5135\n5986 11856\n13829 14484\n3927 6704\n1932 8284\n7567 14975\n4194 5119\n1522 3610\n1974 13048\n1473 14143\n3298 12521\n3099 7802\n2657 6064\n6732 8051\n8176 13396\n6150 9482\n12998 13001\n5472 9833\n8141 13600\n3564 13526\n6820 13070\n6249 11845\n3143 13896\n2574 13368\n2704 10021\n2926 13751\n5474 10426\n14742 14797\n4579 14388\n961 11319\n2283 2406\n9054 14775\n3977 7487\n3978 9048\n234 4108\n2958 3728\n3940 9525\n2372 7645\n4160 14779\n13266 14713\n5190 9781\n6508 11049\n6037 14498\n1746 8766\n9647 13949\n2844 9003\n5337 8752\n8252 11320\n1030 5904\n7272 14607\n9025 15274\n3168 11534\n9581 14330\n3227 7717\n1590 7142\n4232 13490\n5881 12059\n1197 8816\n1399 5672\n7792 10612\n3423 9384\n9832 10040\n11261 13645\n2434 7552\n4276 13731\n7703 11437\n11714 12634\n2117 4831\n429 8461\n2711 12651\n7072 7350\n12918 14134\n8207 13910\n7623 11020\n4465 5522\n11340 14220\n7679 15257\n2507 8310\n11807 13374\n12104 12126\n7688 13773\n4713 12107\n2695 15199\n1057 11699\n11478 12567\n9379 9736\n5796 10566\n2934 12857\n5394 11894\n8387 10443\n4812 6375\n6599 9902\n871 12860\n3363 11420\n1285 9083\n2443 11465\n1173 7280\n6978 9767\n2246 3609\n7830 8048\n5438 7144\n821 4521\n11975 12364\n12541 13594\n7273 9466\n2147 14951\n9477 10579\n12602 13176\n1321 11559\n3289 4706\n6791 7183\n6363 14011\n10927 11111\n375 3027\n8949 15015\n2621 12291\n541 5668\n4306 9829\n2424 8917\n4819 5185\n7729 13311\n8816 12759\n12694 13852\n1923 6376\n453 9359\n14425 15105\n3541 7611\n6157 14470\n5858 9616\n8626 9060\n2427 12550\n10692 15249\n2530 6297\n8963 9778\n4809 11618\n6789 11316\n1175 5752\n3857 9707\n5089 9700\n1859 2018\n1019 11885\n2000 11671\n1341 5330\n7976 9254\n4095 5787\n22 770\n6250 10639\n8591 9588\n10724 11915\n9585 12764\n2091 7182\n300 14487\n4341 6156\n8130 11115\n2627 8612\n12684 12991\n6301 9670\n3809 12859\n5433 9879\n5807 13262\n1285 11645\n6268 14054\n4806 7992\n4004 13290\n7970 13688\n8537 13829\n1107 6213\n5788 7782\n1983 8465\n2491 11564\n4893 9851\n3108 3677\n778 13605\n11282 13191\n5384 6258\n12513 14770\n9585 13418\n2664 7002\n8453 14712\n2847 12914\n2574 10914\n13044 13745\n1389 2232\n13526 14513\n5799 14508\n486 9137\n5148 11154\n4227 4568\n11777 14753\n6771 14230\n3460 6510\n8582 15169\n1353 11879\n5377 7030\n2925 5432\n2815 8026\n1886 12429\n9293 12412\n11364 12611\n941 14511\n2972 11643\n12102 12435\n76 14033\n8412 12789\n6457 10546\n5919 13850\n5633 7185\n5164 8422\n6082 14255\n6305 7741\n7171 14805\n2756 5957\n3739 13221\n4535 9979\n9470 15200\n4497 15268\n1219 1458\n9784 12590\n13630 15278\n4428 11756\n2626 6753\n4 7950\n4445 14171\n9460 14767\n10954 14381\n5057 7538\n3112 13824\n412 7077\n3090 5607\n6071 6217\n671 2105\n8816 10175\n3910 11734\n7182 7653\n2955 5557\n8368 11334\n7947 14861\n251 12180\n840 11208\n7967 12951\n1397 2035\n272 12641\n11763 15300\n8527 13073\n8815 13366\n5419 14024\n2853 9297\n4566 10238\n876 4242\n3760 11618\n2709 12874\n3547 14203\n689 8539\n4708 10398\n8020 11876\n1790 10169\n4913 11298\n2405 13807\n5106 8578\n9919 13977\n5001 15287\n1493 12517\n4791 11397\n1470 13297\n2855 12401\n11731 14577\n1110 2694\n3034 4476\n870 12766\n4402 9453\n2472 12018\n2395 14382\n10057 12006\n504 2956\n2901 11259\n1907 10494\n2730 14050\n10855 14177\n13695 13722\n12945 13711\n5960 9289\n781 9978\n1866 11881\n6277 8252\n768 10172\n837 3953\n862 14945\n6524 8591\n5338 11324\n13113 14601\n10489 14690\n6228 7600\n8949 15227\n5470 8127\n6958 13125\n463 6885\n5567 7611\n4319 12465\n6330 10360\n12373 15235\n277 10009\n13248 15103\n13036 14211\n1340 12599\n11273 13810\n2932 15211\n2510 5515\n9868 15267\n4453 15286\n5681 12019\n4244 6008\n886 1771\n11023 13387\n5058 11246\n5336 5794\n3118 12550\n4243 6120\n6895 11203\n8179 9402\n1165 9442\n3196 9195\n8885 12889\n1989 12555\n1232 14375\n9528 15292\n1692 13070\n5533 11509\n9051 14164\n3561 7460\n7877 11529\n8280 9612\n9418 11966\n12431 14002\n5685 11021\n6985 14697\n6800 12138\n1426 8558\n7119 14484\n1224 1292\n3904 5667\n2971 9953\n12412 14132\n7739 12704\n6100 12931\n10822 11772\n9392 11162\n7936 12621\n2608 10391\n1892 2616\n3683 6523\n4886 8140\n1768 10854\n3439 4539\n2763 3215\n6882 11497\n5083 14773\n4194 5429\n8113 14963\n941 8073\n816 5875\n12462 13660\n3907 9842\n2201 12854\n1200 11263\n8208 14891\n10173 14520\n440 3820\n12240 13573\n8493 11155\n5739 12885\n818 12113\n11239 11532\n1793 7456\n31 14488\n1443 10810\n4114 10942\n3289 13927\n11329 13351\n2072 4389\n1279 9800\n3790 14944\n2448 4281\n1230 5838\n7475 9451\n7594 13545\n5186 12683\n95 6436\n7407 12621\n5136 5601\n3001 4312\n585 9935\n339 12870\n9219 13389\n4911 13542\n4414 7084\n15123 15195\n340 14771\n1759 3489\n315 7453\n7951 13765\n7702 9267\n817 10575\n10243 10291\n368 5044\n5510 7401\n5648 15047\n6699 11212\n11271 12468\n2063 9545\n5518 8987\n3360 4069\n4887 12263\n14292 14936\n10906 13737\n3601 14412\n6859 14061\n6735 14679\n4560 13274\n8473 14273\n13598 13644\n8541 10229\n7084 14301\n10515 10658\n7869 9446\n4976 10172\n8000 10238\n2680 5761\n6296 14248\n592 7157\n8585 9405\n4133 13436\n3680 7659\n2096 7672\n13374 14303\n2142 12885\n8854 13533\n5134 6959\n10127 14624\n12562 13310\n3298 10119\n6188 7041\n2469 11415\n7274 10256\n9202 12629\n13547 13967\n2718 12039\n1078 9303\n2115 11176\n3913 10599\n8001 14710\n1601 3441\n10828 14753\n5913 10129\n2698 10886\n1182 4108\n2128 9515\n12334 14266\n6081 14840\n1027 10873\n11688 14386\n2940 13496\n2116 4035\n8125 12267\n14607 14969\n11862 12729\n5041 9057\n2085 14571\n5216 9537\n6432 12219\n12094 14343\n9004 13461\n9426 13193\n9068 9730\n10102 10228\n8946 13520\n2744 5931\n3491 13643\n6202 14391\n2469 5536\n8465 14963\n5138 8868\n392 876\n897 12796\n12850 14390\n1842 15063\n2477 12202\n1428 3032\n4612 10707\n607 2983\n9833 14509\n3595 9657\n5649 11270\n2826 12490\n1624 9055\n11370 11984\n5743 13673\n2236 14868\n1484 2144\n2963 7940\n1905 4389\n4755 12493\n10292 12806\n12104 13579\n3347 13221\n1700 3850\n4092 8253\n3304 5140\n816 1791\n8135 14766\n1345 4669\n11068 11233\n6123 12971\n1765 6069\n4791 6902\n4230 7309\n13772 14302\n8918 11050\n2922 9479\n427 2093\n3813 5181\n11295 11450\n8314 12752\n2847 12696\n8079 13064\n4566 13722\n8867 9588\n2949 7815\n1286 11655\n881 6597\n9089 11090\n2556 6047\n4525 11704\n2687 5885\n4022 7700\n285 9858\n2612 13406\n2807 6141\n9060 13534\n627 3444\n1372 6691\n43 9448\n439 1553\n1431 2396\n12110 12172\n2624 12821\n7861 15243\n1986 3013\n13170 13280\n4969 5614\n5609 7073\n3404 7802\n2877 3668\n9573 10846\n768 8699\n792 10806\n9656 10642\n2541 13153\n5492 15112\n1555 12478\n2233 9176\n5809 11555\n206 2960\n1796 15137\n3421 14533\n9228 9853\n399 8575\n2616 13631\n277 9515\n10267 13545\n3619 6744\n4988 12499\n3229 4548\n9421 12555\n10181 14835\n3664 12440\n3671 8757\n852 7872\n5502 10951\n9910 14798\n10581 13376\n1969 3307\n926 2916\n11046 13577\n5661 9167\n1537 13674\n3198 14967\n252 9975\n9505 14882\n4029 13734\n8629 8941\n6031 15292\n2856 7229\n3560 5767\n7142 11859\n290 11782\n11060 11706\n11958 14464\n9253 12750\n1270 12555\n10179 15173\n7397 9092\n63 2794\n7935 11051\n3573 5760\n1998 3357\n6432 14826\n5923 13129\n5047 5193\n79 1040\n7969 10571\n9835 12251\n2479 8438\n3195 4482\n5040 11394\n413 9744\n8265 11288\n3820 4088\n9228 12257\n5516 9962\n10530 14558\n2757 14004\n2484 12327\n685 14012\n449 13124\n3347 6428\n5126 10710\n3058 7725\n3411 11481\n12052 13191\n2703 15157\n1837 4311\n9407 12260\n3244 8310\n7932 11831\n2335 6959\n1457 14883\n3292 9534\n10411 12494\n1028 9792\n1319 14163\n7673 9919\n3247 8668\n259 2336\n8292 11872\n3148 12183\n8784 9637\n4633 5127\n4795 6280\n12208 14026\n5288 14901\n4240 14825\n600 5637\n3159 14864\n206 1704\n2889 8540\n11417 13851\n2616 10039\n3484 3916\n4157 13958\n8939 13583\n3976 14114\n2546 4307\n1476 3179\n8471 12468\n4895 8314\n255 8664\n8211 13601\n4084 9804\n976 9160\n4937 11096\n3043 7336\n6374 10544\n1381 3146\n1316 10789\n1914 3796\n5726 10490\n9785 10652\n965 9291\n3286 10904\n6183 14781\n1813 4882\n8783 13191\n4880 5471\n7612 15252\n1846 12331\n4927 11677\n5795 10053\n12349 14279\n6286 15304\n4342 10090\n1491 13824\n675 8553\n5139 14112\n322 7865\n3770 4101\n598 5060\n5430 8845\n4058 14085\n2688 10727\n1737 10251\n2223 5366\n2215 3998\n2186 14751\n1849 9990\n1916 2852\n5463 6789\n3197 11790\n11447 11582\n9981 10036\n6976 7272\n795 3607\n4692 14315\n4328 7694\n7794 11698\n10643 10806\n1452 4607\n3089 7529\n2900 14772\n6306 11885\n4484 8813\n3518 11751\n550 4103\n12071 12980\n10896 11128\n2469 10735\n7593 12491\n5499 6621\n1212 14044\n6998 12044\n5472 9853\n6029 7850\n3292 11144\n3175 6450\n7239 14407\n1007 3338\n1927 11785\n145 5721\n4296 8852\n6484 15150\n585 14379\n9543 12636\n968 14358\n8126 8218\n149 4898\n455 2709\n13038 14045\n1740 12115\n6434 7855\n4242 10325\n9466 13180\n3604 7648\n2812 11165\n161 3975\n10276 14119\n4780 11793\n1658 6721\n12741 13962\n3321 9465\n6609 11179\n1194 3175\n1030 11411\n6917 8011\n11122 13401\n6411 10918\n2868 8134\n10480 14635\n32 3337\n3424 14727\n200 12982\n13385 13666\n5072 9541\n3071 11270\n330 13341\n2876 13350\n7533 7747\n5470 10234\n5884 10979\n7907 13091\n5745 8737\n5235 13066\n4588 7163\n934 13333\n3323 5517\n4907 11517\n4957 13075\n4662 6532\n4449 10587\n6558 13931\n8164 12363\n567 9655\n3872 12203\n11591 12036\n3233 5581\n2331 13670\n894 13932\n7441 8830\n685 4355\n5639 14386\n3195 13183\n5530 7930\n3321 10040\n2850 3725\n12110 12464\n2920 3096\n2443 10474\n2466 11787\n6603 8294\n4981 6300\n4100 10780\n120 7332\n8848 8922\n1746 8900\n1955 5205\n5318 10421\n666 5249\n6297 8947\n4057 9465\n8866 14191\n9799 13010\n12956 14247\n3665 4186\n2967 9659\n2838 5415\n442 7481\n4808 5167\n4229 9522\n7471 14867\n1210 7338\n5886 12267\n6737 14385\n3607 5479\n2672 5861\n10840 11137\n2779 5504\n4179 13502\n6221 7114\n5732 9840\n11398 14286\n13374 15297\n8515 9721\n1472 7274\n6984 7066\n1893 8295\n9953 10526\n5070 9666\n14453 14965\n7619 11779\n4925 11768\n2198 14937\n10106 12043\n5089 14217\n9749 9780\n7393 13424\n7162 8996\n4104 12607\n4038 12956\n8222 14958\n809 15092\n5213 14583\n8442 9101\n2432 11794\n5717 12977\n8433 14525\n6387 13668\n5881 9484\n2741 13855\n3162 11748\n3569 14505\n7391 12253\n4076 7170\n2367 12993\n4693 5793\n1918 12937\n1522 9097\n9320 9531\n8328 15057\n12639 14286\n9239 12071\n7094 10577\n13268 13720\n10069 11052\n12780 14212\n1596 4144\n2901 8307\n350 2747\n9564 12194\n2841 15280\n14296 14863\n11468 13610\n2828 8574\n5148 9948\n6342 8429\n5342 9403\n10888 14157\n6286 14264\n1720 8242\n9802 15058\n1014 6100\n5593 5916\n5174 5675\n5541 9370\n12080 15261\n2602 14104\n7859 13255\n679 1888\n756 12518\n1673 8500\n119 6452\n2558 6555\n4318 6834\n51 1448\n2444 5396\n8923 11990\n484 2687\n1573 11380\n6067 7166\n2730 15140\n4871 13326\n6734 10174\n7665 15123\n9305 15060\n9148 13979\n14327 14837\n149 8634\n3811 7337\n4660 8452\n1764 6885\n9935 13455\n1684 8173\n12144 14030\n9935 10789\n6307 8040\n1094 13774\n2116 13286\n13009 14942\n367 570\n2487 6592\n1360 7413\n6550 10649\n2765 10103\n6640 9693\n3158 14594\n8286 12145\n6290 14011\n250 13620\n7167 9036\n2252 14639\n690 7160\n7432 10972\n2467 2677\n1441 8646\n181 9626\n3607 3661\n3333 13176\n75 9829\n2064 15286\n2110 14449\n2405 9452\n1731 10017\n1874 9495\n1436 11605\n2114 8995\n7842 10134\n10518 14198\n3100 15198\n2804 6676\n7554 8864\n8650 9613\n1811 4994\n538 6852\n520 2776\n2093 8717\n389 11544\n7478 8892\n7282 7942\n415 2696\n1902 13669\n322 10816\n12306 14700\n5167 6259\n5642 6212\n518 3689\n8169 10779\n3236 6558\n1949 2308\n7924 8081\n5107 12274\n1405 12570\n14716 14961\n3841 11077\n4724 11910\n359 4702\n153 3716\n2619 8004\n8861 14094\n7447 13190\n6555 15159\n6535 9427\n6693 8826\n2539 7817\n2972 8021\n734 10025\n6445 8088\n2073 3784\n9340 14032\n736 6633\n12705 14224\n9893 10485\n6793 14388\n319 13918\n13507 14686\n8739 11023\n4698 7160\n4188 6564\n5633 15262\n3490 4444\n622 5959\n4354 5763\n98 882\n2576 13124\n3705 11714\n8175 13028\n14739 15232\n6413 8380\n2632 10434\n1515 4428\n7659 12465\n5856 15130\n9216 11562\n3990 7383\n10607 11209\n9202 10084\n7593 12377\n12365 14340\n10725 11244\n1153 3045\n1825 5051\n5856 12263\n7236 8205\n1514 6646\n10068 12617\n6286 11402\n5736 11792\n578 9013\n12751 12958\n2947 10168\n3558 4857\n1318 2121\n7245 11526\n4049 8215\n12451 15028\n3087 7668\n4868 12230\n1780 5465\n3110 6565\n2922 7103\n5468 14304\n1763 3238\n10205 13811\n5374 10325\n4039 12323\n10754 13128\n3382 11973\n2118 6290\n5589 8333\n14412 14938\n4216 14554\n8162 9422\n1930 4330\n4777 12882\n4100 14706\n10991 14764\n8716 14819\n2465 15094\n10349 13640\n6302 6688\n5635 6520\n5427 10894\n8205 13504\n8665 13801\n1616 12904\n8775 11808\n1831 8748\n2909 15264\n3796 4682\n3272 6586\n8058 12143\n213 5564\n8284 9539\n2304 13054\n1788 5862\n12395 13348\n285 6002\n11533 14499\n8125 15202\n6156 8580\n182 1722\n10264 10612\n4302 11146\n6211 8622\n6307 10235\n11134 12115\n4980 5163\n1010 7436\n9073 9588\n2269 5759\n12063 12562\n12449 13909\n3325 6353\n11030 13685\n8019 10474\n805 3600\n9469 11071\n6674 9654\n5847 13544\n5910 9211\n2997 9285\n7244 11915\n12334 12685\n5354 8877\n10885 13823\n11701 14121\n12346 13128\n1168 9855\n13380 14359\n1410 2791\n5767 6759\n6241 14446\n3454 13495\n6671 6745\n5052 13308\n3183 11603\n6535 10954\n10771 13639\n6437 11470\n5949 7667\n6426 14468\n323 2372\n1934 10430\n4855 8866\n1914 2434\n8233 14704\n3282 12481\n3053 8078\n1429 2799\n457 3282\n3966 12316\n1289 11720\n1253 15190\n7413 11362\n2983 10966\n282 11336\n8296 10267\n4210 6650\n4983 13895\n685 5752\n1872 3709\n7673 8177\n11732 13303\n13339 15034\n2353 13616\n12858 14160\n11682 14277\n7277 10276\n1526 13662\n3116 9122\n7854 11296\n7112 13243\n2391 9972\n7007 14349\n996 11437\n3767 4982\n3813 6842\n12109 14847\n5883 8900\n6394 14068\n2507 12807\n1579 11313\n4776 12849\n7088 9444\n3299 4174\n5722 8617\n5668 12666\n11753 14728\n10207 13439\n8836 12113\n585 10816\n9214 10333\n7334 10429\n7738 13545\n2962 8782\n3346 13210\n782 3405\n2211 7169\n9127 13884\n2236 9435\n4053 11064\n1949 8565\n9855 12930\n7645 12387\n1958 6951\n2303 8603\n5111 14889\n6540 13406\n1620 15160\n9862 14716\n2301 12920\n3255 4014\n5605 8716\n13678 14375\n5280 11100\n1417 7999\n475 7740\n2233 9621\n2433 6794\n3826 12685\n10704 15170\n2776 2861\n10410 14762\n10313 14425\n13510 14510\n116 4142\n3832 10857\n6084 7977\n2465 14047\n547 12822\n1141 4661\n3733 9529\n10724 13437\n9430 10370\n3993 9287\n2738 10418\n6221 8833\n497 4613\n11147 13347\n5093 5329\n624 6943\n12469 15093\n2757 3723\n2509 14869\n1121 6815\n404 467\n732 4571\n2263 14012\n4870 10462\n7455 10067\n7317 14457\n9251 13408\n7898 8169\n916 14418\n7410 10121\n6582 13803\n9027 14877\n6155 8716\n2214 12423\n5720 10711\n3993 4887\n4936 13299\n9123 13649\n137 9522\n8283 8440\n1263 7875\n5703 11285\n4691 7644\n2712 8490\n8920 12062\n447 10015\n5597 10786\n5407 10206\n3643 4284\n1136 6231\n2135 6483\n190 8982\n8742 10104\n6571 8019\n5414 10063\n10647 13163\n3423 9272\n5359 12071\n3886 14942\n7539 10737\n12211 13875\n8158 10061\n11711 11973\n4328 11635\n5177 9881\n4031 5405\n5780 9237\n626 2497\n14164 15153\n6350 11301\n6118 6916\n464 9780\n4771 13590\n10246 11572\n7182 11820\n2559 12235\n9656 11734\n11295 12041\n8774 9780\n12233 13557\n3321 10890\n1885 5035\n928 4450\n803 11812\n800 6737\n10548 13501\n3240 4445\n6965 13175\n3402 5294\n1497 13867\n6579 6733\n3224 5225\n10048 13738\n771 4812\n5252 6307\n10942 12386\n2760 4301\n1335 14034\n4745 12512\n11926 12404\n8222 11407\n5694 9702\n2501 14838\n9367 13943\n288 13546\n12584 15061\n6400 8233\n12683 13407\n7303 8738\n6402 13491\n2061 8546\n1950 4976\n5738 14458\n6584 8771\n9599 12138\n4194 13504\n9830 14319\n1251 5699\n3478 4697\n2561 9149\n4919 5106\n3411 15077\n6681 7823\n2882 11904\n1992 14116\n8926 10728\n6940 7675\n7788 11999\n6958 9001\n2349 9695\n7099 10817\n5148 10774\n13689 13852\n6689 8410\n6624 9634\n1380 9589\n3135 3884\n11454 12896\n3069 10215\n9794 11757\n1245 11928\n8859 10558\n937 8847\n7402 11308\n4621 6045\n9450 9890\n249 15299\n10200 12201\n9339 15273\n3910 8923\n2356 2581\n13896 14636\n537 9143\n5980 6746\n6046 9562\n6087 12312\n3116 9145\n211 980\n7054 8142\n7183 11850\n9372 14961\n1659 13129\n1185 10791\n1651 13849\n8967 12243\n11709 15231\n61 11704\n778 4374\n1013 10619\n3943 4581\n12496 13636\n5291 5665\n3621 13260\n11326 13431\n12157 12255\n1719 3050\n12125 13207\n10392 11767\n1661 14001\n360 1735\n1108 13193\n6465 13544\n11188 15041\n10532 12178\n941 7872\n6990 9973\n1526 11140\n7201 13827\n13407 14304\n83 11010\n4562 6343\n3912 6860\n3001 14347\n3455 11620\n9712 13470\n11308 13777\n6 10509\n1379 3297\n9173 12737\n1707 9916\n7078 11253\n7411 8940\n3906 12744\n10008 14217\n12262 14514\n1560 10400\n4302 7401\n9815 12505\n12981 14525\n4551 9274\n8955 9209\n1088 4152\n1380 15154\n6907 10116\n1158 3059\n775 5338\n4516 7594\n4932 12026\n2083 3491\n6725 12874\n297 10438\n466 8506\n11938 13331\n4294 6335\n2050 13413\n10393 12091\n6916 12183\n588 12298\n6561 10401\n1718 13959\n5601 6295\n12699 13538\n1158 15261\n1253 8453\n5524 8970\n3367 4403\n11833 13944\n9006 9757\n5472 13422\n1073 9708\n11788 13716\n6449 7081\n2927 11810\n8721 10072\n8429 9904\n5159 6221\n7156 7786\n2764 12567\n10484 11691\n8116 8744\n2209 2965\n6724 9039\n3027 6670\n6345 13873\n6100 11643\n1622 14448\n4686 13032\n12682 14950\n1335 14593\n512 13050\n548 10996\n1794 6503\n9509 13014\n8619 12182\n6439 8606\n12904 14987\n144 4452\n1483 10377\n8283 8840\n1970 8241\n441 6202\n2135 12083\n3653 14977\n12338 14849\n2173 13068\n8359 11311\n1614 2200\n7682 14827\n9710 15160\n3142 5249\n3854 4530\n1521 6745\n4856 6239\n1033 13283\n6052 14731\n6888 15186\n6360 11731\n2032 10231\n4365 12983\n3515 13330\n872 3306\n3747 7423\n4655 7310\n13510 14288\n4292 6746\n6026 14269\n11747 14715\n6239 12412\n8425 12002\n5827 15180\n7122 7899\n2567 9551\n5253 8583\n3162 3843\n12594 14594\n3329 12729\n4133 6687\n5045 14200\n2945 10127\n6048 10091\n524 13040\n11680 11691\n1279 9455\n10315 15162\n8512 11342\n2057 2857\n1784 4432\n4532 6912\n1062 4168\n502 2202\n2665 4725\n5811 13306\n1420 12953\n10947 11620\n2681 12741\n7943 11732\n3909 11839\n830 1485\n10427 15143\n3513 14523\n4899 4903\n8192 11855\n3662 12590\n2748 6874\n544 13704\n1891 3776\n4726 6498\n6673 9072\n8218 8888\n7519 14910\n34 6598\n1184 2173\n2503 9623\n733 2930\n7900 11337\n4131 13894\n6466 9464\n3909 15274\n4639 8028\n9375 14302\n500 7752\n3990 13059\n2664 6105\n2235 14218\n1528 2072\n6051 12947\n405 3474\n1620 5356\n4017 14532\n2473 11107\n9349 13667\n493 11574\n10786 11145\n2556 7176\n5800 9877\n9823 11556\n2418 5115\n1923 14876\n12205 14243\n11907 14500\n524 10799\n3708 7261\n9446 11130\n4996 5332\n6833 11394\n898 11406\n351 3789\n666 2999\n12904 13764\n6319 9244\n1170 13862\n3045 7465\n7122 11593\n10972 14906\n3747 8140\n5121 9641\n2869 9367\n13758 13817\n494 8778\n1278 12549\n2439 13365\n7282 13978\n10173 14473\n4116 6249\n10885 13997\n7235 10385\n4861 10381\n2604 10043\n1518 13228\n722 13616\n11141 12110\n5338 9810\n1148 7577\n2111 8397\n7183 14824\n5208 7982\n539 14110\n3585 5307\n3713 6056\n455 8400\n4349 9117\n4244 8494\n622 8761\n4571 10904\n2857 13696\n8940 9807\n7269 7999\n2146 6508\n5705 10986\n2423 6149\n983 14373\n2874 9406\n1678 15066\n205 12818\n1943 4932\n3097 11681\n8218 12522\n542 6989\n426 2484\n4593 14968\n1407 9962\n3267 6997\n4075 5298\n4607 13176\n8620 14889\n3925 12446\n2029 2298\n4869 14145\n425 14274\n2475 3562\n3306 8333\n7004 9468\n2178 14553\n1340 14327\n3846 14238\n5168 8939\n5116 9684\n3588 9231\n4970 7045\n2125 14712\n6325 11506\n5035 11524\n10152 13571\n3515 4925\n1196 2209\n9615 10989\n5131 9138\n241 7205\n670 11116\n8748 9600\n8122 15020\n4371 5806\n609 10872\n3835 5456\n1625 8198\n1072 4398\n4741 12995\n11617 12183\n1183 11437\n228 10051\n9234 10013\n10055 11667\n8410 12728\n4372 13473\n1515 13438\n959 4240\n2241 8648\n4814 5572\n3387 11996\n1046 5036\n8201 11167\n8548 14019\n7530 11566\n4029 11392\n7639 13146\n215 2357\n4583 9412\n2766 14764\n951 13585\n6070 9505\n1451 6688\n6362 13197\n5078 11002\n91 11834\n2164 3120\n1147 12082\n109 1599\n4083 6097\n6694 7414\n3278 5605\n2193 8620\n5157 6034\n1063 13334\n10417 15305\n1382 2603\n841 5853\n676 9364\n10455 13346\n4490 12721\n8290 14422\n8113 14866\n4264 7740\n10586 12846\n11 14013\n4309 11470\n4170 6868\n3838 14200\n2993 10662\n1121 5839\n9371 12533\n7476 15256\n11124 13248\n4886 10949\n4832 4969\n6892 9819\n1028 5247\n1529 7328\n11311 14559\n5511 11179\n4885 14095\n6709 8806\n971 2819\n8133 14879\n6825 12138\n4648 10389\n7199 11029\n2192 12265\n10857 13314\n4123 6702\n7385 12493\n7712 14613\n9402 11123\n3716 13732\n5557 7295\n5490 11854\n4700 10508\n7803 10889\n601 9371\n4805 11450\n1828 6356\n4924 8753\n1260 13591\n9556 11735\n11967 12649\n665 4646\n6719 9543\n201 4102\n226 4573\n3406 8634\n2221 9770\n7654 9468\n7695 8520\n3947 7651\n9325 13667\n3118 10129\n1654 7759\n11661 11716\n10956 13277\n5801 6430\n511 8995\n5568 15014\n3499 7938\n12303 15188\n490 5539\n2826 11746\n2351 14100\n4363 5565\n5339 14824\n1372 10993\n2904 6396\n6385 8991\n11178 13318\n8080 12934\n967 11458\n1107 6252\n8161 8960\n11169 12374\n9329 13774\n10523 10828\n5218 12227\n2280 3379\n4555 7394\n4810 14830\n2876 4450\n7583 10452\n4521 13914\n6589 14968\n7697 10460\n5485 8612\n10818 11255\n1193 3443\n6309 8679\n1087 5171\n11835 12960\n4509 5305\n6134 14189\n1397 11317\n4610 9203\n2527 11968\n2014 10360\n3137 12455\n11029 11412\n1711 14537\n9839 11712\n984 4676\n8979 10231\n1286 4382\n8299 14152\n4 6122\n9745 10749\n1383 12392\n604 5502\n1833 14540\n852 3091\n3115 11149\n4913 7936\n4467 8137\n9391 11666\n5413 10902\n838 12687\n4293 14410\n3830 13813\n6806 13674\n6142 13673\n603 14610\n3932 8033\n3841 10294\n5086 9744\n10345 12745\n3524 14676\n645 6045\n2878 8339\n5819 12429\n7722 8989\n537 4818\n6561 12430\n3993 13906\n3947 5055\n533 12404\n3756 7634\n10367 11504\n4944 9932\n4606 10426\n4073 4977\n5959 10087\n4801 14576\n320 4925\n315 10317\n5411 12786\n2985 9000\n8633 12644\n3131 14637\n520 4210\n1535 4433\n438 6739\n2910 10231\n4358 4920\n4167 14643\n7244 9397\n10893 11708\n448 7325\n59 12579\n207 10524\n1774 12169\n7667 12134\n2542 13445\n6034 13345\n4944 8126\n8338 9783\n8028 14888\n2680 14536\n6388 9945\n13778 14715\n2390 6524\n13034 13297\n3433 9210\n4713 9130\n7091 12043\n10493 11362\n8291 9676\n2832 9328\n614 8015\n1671 2586\n8861 11770\n3096 8082\n2271 5854\n6993 13051\n55 7464\n6521 12172\n10043 13249\n4273 6298\n216 1476\n1351 4818\n1190 3474\n12176 12334\n2035 5521\n8825 10934\n5952 6656\n746 10560\n7599 10606\n5374 10525\n4497 11240\n11473 14076\n10022 11575\n7030 14668\n9254 11136\n4801 11597\n4080 9239\n1987 8225\n3097 6897\n307 12881\n1770 2137\n1342 7387\n3625 10061\n751 9898\n6724 7435\n4835 9079\n12833 13616\n3969 7945\n2341 10376\n1071 1594\n2142 3983\n9134 14879\n3091 14057\n10353 15266\n2578 13134\n2517 13388\n6232 8632\n1621 7955\n10685 14241\n4773 13645\n511 6690\n6772 8648\n6048 10196\n961 11815\n11303 14103\n822 14701\n11659 13098\n11964 13794\n2215 4345\n8893 9984\n160 7782\n7787 13813\n226 8147\n3138 4367\n1043 3268\n9663 10173\n744 10452\n1399 2993\n2386 8654\n9160 9981\n3184 10920\n5304 14791\n11533 14123\n7353 12354\n2864 6837\n1762 8943\n1753 8946\n462 3595\n9704 10967\n5967 8437\n2010 7034\n3647 4411\n4277 8886\n4861 14407\n4176 6476\n3875 10646\n519 14460\n4616 10073\n6878 8211\n3556 7601\n1935 11107\n5774 14574\n1352 9610\n568 5577\n972 1248\n5478 9472\n4255 15260\n5636 10145\n389 11640\n1403 10911\n601 2562\n354 12524\n3756 7844\n2378 14998\n741 1345\n4372 8840\n640 9251\n8162 8388\n7442 12414\n7924 8525\n5649 8123\n5543 9127\n10205 14064\n5401 5425\n2354 7734\n3746 9922\n6521 12810\n891 3584\n7721 15004\n3554 4147\n753 1739\n3323 11819\n729 14758\n5149 14499\n9599 14823\n5007 14202\n8734 10414\n2438 14894\n9864 10176\n3779 12044\n2056 12418\n441 9823\n8690 12296\n1405 10392\n10220 12515\n5256 9310\n5521 11033\n3502 3530\n2015 6230\n602 4175\n3162 4666\n5865 12237\n2127 6521\n637 10822\n2469 4942\n14544 15130\n5691 10168\n208 13907\n8626 11939\n10601 14910\n5975 12254\n937 3332\n2309 11188\n7473 8046\n5834 6351\n4299 14124\n824 13604\n8223 14306\n4653 5771\n1446 3968\n8992 13677\n1784 7655\n480 8797\n273 13385\n4445 7340\n1922 11533\n4162 5467\n5855 8248\n3232 5922\n1958 10233\n6894 14133\n12599 14938\n3623 9536\n4705 13990\n5192 9299\n3032 4017\n1484 11179\n5452 5910\n5225 9773\n491 12112\n4210 6729\n12200 15098\n8351 10902\n2682 14385\n5747 7926\n93 12303\n6716 7298\n4470 12539\n6793 12523\n7681 11078\n7513 7924\n4193 10323\n93 8471\n2764 7728\n8152 9181\n7504 8725\n6673 7576\n1406 6988\n1863 3186\n4765 8157\n8393 13354\n226 10975\n219 10289\n6489 9131\n6645 9974\n5592 8503\n6209 11770\n8850 10402\n3196 14965\n6783 14285\n2647 12873\n3693 9565\n7970 14456\n553 14020\n532 4209\n6503 13202\n2509 11339\n9962 14938\n1045 10992\n5104 12141\n1721 5636\n2093 15248\n4056 13317\n7868 14782\n8045 10074\n2331 6937\n11295 12953\n92 3048\n1054 1462\n6782 9926\n6548 7413\n3995 6813\n8681 12672\n10524 14878\n10788 13593\n6642 10943\n1380 11964\n648 7173\n549 9199\n3781 12467\n9737 10091\n4458 10624\n7768 10122\n169 1837\n3345 4646\n6020 8606\n2060 6774\n1151 3612\n6862 7283\n2021 5543\n5524 12252\n4149 11646\n2728 4796\n2553 3886\n3723 10956\n4854 7912\n6052 13611\n5001 8096\n190 6672\n244 6826\n5993 9756\n1577 11141\n4930 7739\n969 3121\n6984 7077\n11396 12011\n11592 15085\n1231 5765\n12790 15169\n10136 11067\n7132 7727\n4596 14220\n5296 9468\n7727 9397\n9804 13740\n8023 8732\n2202 10767\n2763 12832\n6304 11288\n1775 5187\n3702 4186\n4245 10308\n6848 10732\n2614 4239\n5979 15229\n4913 6896\n1627 13674\n2835 13321\n2929 6822\n7103 13694\n9054 13334\n543 10458\n10746 11898\n3378 12632\n405 10764\n10704 15136\n14262 14587\n4846 13195\n5971 7400\n7002 7178\n8084 8337\n6856 15207\n11874 12632\n8625 11920\n5367 14079\n2575 8700\n3080 6125\n11139 13618\n4646 12433\n10371 15162\n8807 9728\n10484 14723\n3844 11080\n6566 13260\n1404 14589\n6228 6790\n2130 9975\n7245 14179\n9008 14449\n3456 13909\n11558 13785\n9220 10098\n4561 8005\n5176 11545\n12089 13302\n5678 11690\n8069 10690\n12835 13993\n1415 13381\n9594 11302\n9306 12300\n4679 6850\n7473 14431\n2800 13833\n6556 6588\n7358 7362\n8856 9862\n1467 2330\n12754 14922\n10420 12276\n881 3460\n7321 12923\n3622 10396\n1960 8774\n3340 14722\n11436 12392\n4079 11157\n10494 11992\n4159 13304\n4143 8144\n12797 13213\n15123 15283\n1727 9010\n7233 15062\n95 10049\n2450 3011\n9163 13579\n6466 13298\n10056 15162\n5790 7113\n1167 14026\n597 11555\n5629 11401\n6874 10999\n12593 13468\n1025 14779\n718 1178\n10900 12534\n3272 11483\n13000 14772\n3613 8487\n851 4910\n6376 13022\n5398 11459\n10721 14266\n5650 8938\n6665 11509\n5206 6739\n4952 5000\n7996 13525\n2999 10714\n1080 3200\n10973 13092\n1446 13891\n4804 6798\n6240 12605\n5062 6843\n7203 13018\n3252 13930\n4143 9498\n9774 10539\n7522 12309\n10017 10244\n745 2473\n7142 12796\n6465 8867\n4884 10991\n6071 12693\n742 9276\n8437 14624\n3066 5118\n5807 10805\n13720 14852\n4229 9226\n834 5707\n1820 14539\n893 9291\n8060 11977\n1178 8914\n3812 6041\n7772 14029\n2794 6114\n11381 12694\n9393 11420\n260 12939\n2897 3732\n3593 12558\n857 7457\n555 5498\n6772 10079\n4868 6008\n6361 8538\n9090 13334\n2465 8933\n3258 15118\n3349 3778\n2013 5469\n9256 9531\n5032 6657\n8466 11281\n4989 10208\n15 12008\n3440 13357\n9445 13893\n13489 14464\n6543 9419\n158 5843\n4681 12314\n12074 14318\n13626 14361\n7950 11894\n1907 4242\n11933 13934\n310 1247\n283 4791\n12012 12499\n11065 11608\n3413 5582\n4981 6590\n5878 14108\n5210 14927\n11534 12111\n2144 15284\n9263 15096\n4127 7674\n6276 6636\n1261 6780\n46 4839\n1103 12245\n11487 12435\n9625 13825\n3860 3865\n2303 12495\n5386 8980\n4258 14503\n3271 5231\n14208 14644\n10861 10970\n94 8372\n1753 5468\n5665 7285\n6126 7554\n9097 11694\n8287 9184\n8224 11733\n4055 5852\n2129 5373\n10611 15054\n973 14509\n2717 9226\n6966 8785\n2384 7916\n1737 10742\n4945 8329\n2713 5181\n5213 14215\n11613 14437\n5835 14166\n11928 14254\n896 10940\n2461 9918\n11187 13173\n3838 7117\n7922 8001\n3206 10150\n1445 10428\n2856 15220\n7077 8528\n12805 13436\n8243 10971\n329 1708\n3808 9085\n6116 7136\n5461 13738\n1140 10231\n700 1195\n2897 14079\n4364 10488\n9303 11747\n1845 10941\n5128 10104\n5813 8097\n1459 9209\n2831 3043\n944 14927\n5349 6730\n10245 12405\n7437 11039\n6494 14949\n4505 9253\n3499 13045\n11500 14817\n11306 12900\n3548 7517\n9930 11415\n3512 13732\n3591 5827\n635 4564\n1222 6660\n9175 11428\n5819 8540\n8463 11759\n4671 6396\n9948 12705\n5292 12733\n3094 13268\n3722 12347\n8773 12004\n8378 15077\n4030 9948\n7400 10314\n27 6555\n6827 12484\n4886 12838\n3453 9116\n4330 4520\n8669 13408\n9293 9538\n5753 6428\n1564 8565\n6264 12606\n5644 10638\n2472 3724\n7188 11178\n963 5551\n2251 10896\n571 11842\n9790 13930\n8144 13259\n8979 14582\n7609 9602\n3045 12288\n4716 4941\n9103 13469\n6269 11108\n596 9047\n6014 13042\n8737 9315\n11224 11620\n434 4058\n4404 7688\n10486 15231\n9329 14087\n7630 10802\n7379 10350\n553 9917\n680 8936\n1680 4739\n559 4705\n4368 12174\n9870 15180\n548 1379\n11975 13173\n2539 8416\n4221 6984\n5217 12468\n371 2079\n4629 9735\n3433 5864\n410 1345\n12658 14488\n1011 7840\n1402 12074\n1368 13597\n8677 9562\n4251 10722\n953 12197\n6567 11108\n6616 11809\n1540 2945\n4942 9947\n8774 9552\n9888 12581\n6482 14497\n7173 14727\n4831 5057\n945 11319\n723 6387\n13101 13266\n5131 7183\n4263 12473\n6646 15008\n9375 10894\n4988 8635\n8425 10131\n10064 13321\n2003 14239\n9630 13472\n3956 15233\n4333 10834\n7967 14216\n8 4038\n3578 3796\n10455 10542\n2809 5019\n3515 7637\n9174 10532\n1172 5954\n6025 8704\n3201 10336\n1954 9794\n4559 10564\n10651 14605\n9162 10421\n3071 12268\n4515 9104\n8957 12532\n10491 11068\n3086 9596\n171 6817\n793 4526\n3164 9806\n8108 11950\n14070 14092\n1716 4483\n7071 9268\n3514 10052\n12841 13988\n11582 12017\n8520 14577\n956 10065\n7675 11698\n3367 9124\n3426 6129\n11053 12194\n2228 8984\n5812 6864\n9314 9812\n10729 12765\n10470 11952\n8848 13969\n4532 11676\n8040 10171\n550 6159\n989 9530\n3199 10494\n11971 14159\n837 12180\n1051 1093\n249 3631\n408 4385\n166 903\n8195 15035\n301 8886\n8739 11813\n11972 15272\n5225 14032\n8498 12737\n4247 8012\n5150 8564\n9521 13176\n13433 14191\n3736 10955\n1107 4463\n1397 6963\n2282 6441\n4095 9822\n1835 2386\n3565 11280\n535 11506\n3761 12786\n6479 14993\n6698 6910\n559 6858\n3697 14297\n1318 8619\n4354 6818\n3881 4380\n8196 12873\n11880 14857\n905 2554\n2145 3740\n7808 12119\n1662 13886\n1229 1766\n26 11320\n1008 10982\n12438 14359\n5110 14155\n3755 9905\n9379 9450\n7198 14408\n5978 14610\n7692 10382\n780 10418\n1087 13708\n6552 8268\n5139 9552\n300 10879\n3846 7204\n5999 12316\n7716 14288\n1761 12295\n1941 12728\n1487 10231\n7240 13059\n4650 14169\n5383 10237\n3973 5669\n2967 9499\n12723 13696\n5350 6784\n699 13937\n9169 10850\n12125 13097\n1204 6508\n2753 10678\n510 13778\n3697 13010\n5137 5743\n8713 11115\n11445 13590\n673 10800\n11372 12329\n8137 12710\n4775 8625\n11484 13785\n1221 5941\n1408 1950\n10065 12702\n297 4291\n4926 9420\n10743 14834\n6218 13828\n11299 14096\n6588 13603\n5845 12572\n480 9003\n3662 4609\n2637 11100\n6704 13956\n8908 9425\n2743 3069\n4514 8986\n4825 9707\n2823 6796\n6665 8855\n9743 14264\n4061 13021\n8535 10538\n7757 11140\n10524 14266\n11009 14353\n1317 10433\n5113 14590\n11190 12412\n796 6436\n13288 14150\n7717 14353\n2224 10442\n5597 11565\n12892 15037\n11714 13258\n1869 7800\n9179 13762\n4340 15253\n1806 6070\n7506 13898\n4483 7759\n922 2213\n5593 14748\n4894 14050\n1048 14279\n12100 14448\n2621 8230\n3213 14504\n1014 14329\n5072 11885\n1330 3847\n2327 6596\n1258 8457\n1601 9143\n6445 14162\n4844 13832\n11955 13416\n2198 12429\n11465 12354\n4508 5432\n594 14470\n8634 15282\n637 9115\n1266 14764\n1544 8851\n8764 15215\n2677 9135\n30 644\n12259 14881\n675 5807\n4785 12293\n1967 7976\n14686 15123\n14039 14535\n1647 3299\n5745 11321\n8995 12761\n6726 11487\n13210 14932\n3921 13850\n625 7041\n11101 11800\n6692 12407\n6241 13230\n10953 12033\n1508 1669\n5469 9398\n3583 6335\n1648 10614\n312 2314\n4160 12926\n5863 7470\n647 8408\n1960 9579\n3708 14734\n2573 10054\n2838 11662\n3573 13522\n4527 7264\n1989 14938\n5577 8844\n6793 13410\n2277 14500\n7579 12902\n1050 1526\n6315 11828\n9964 11255\n386 1987\n6548 11270\n7985 15240\n6825 14817\n3664 12317\n1175 10163\n1730 14678\n4029 10251\n2225 8675\n546 13717\n1983 13757\n3662 11571\n919 14321\n1859 12409\n5932 14512\n6048 12987\n5009 15167\n1910 11531\n528 14428\n3865 8737\n3054 4291\n1735 9951\n11189 13171\n5350 9018\n193 4345\n11822 14680\n1210 12712\n9953 14811\n3128 6760\n4439 9631\n4169 11546\n4360 12889\n12076 13991\n11461 14522\n1286 3673\n10236 13825\n2427 5144\n11987 12505\n1895 7447\n5837 8391\n3179 13609\n2681 9707\n5065 8463\n798 7115\n6603 11452\n4309 10795\n4285 14031\n5475 8580\n1684 8799\n1739 4012\n2566 9153\n218 8252\n8213 14783\n6684 9425\n3139 11392\n8430 9579\n6085 9897\n789 3145\n7090 14047\n2125 9548\n4494 11695\n1546 11834\n2308 2685\n6485 9282\n5627 11379\n3444 7489\n4122 4542\n5627 6764\n264 13023\n5658 6758\n1689 11874\n1588 11699\n684 2127\n1307 9634\n356 10531\n9758 11635\n712 11381\n10105 12585\n7008 13927\n1839 7262\n3300 5012\n6693 10811\n5488 12504\n3013 9367\n4793 7047\n10706 12278\n9831 12258\n1390 12752\n6612 14779\n3993 5137\n10684 13629\n984 9156\n1397 8398\n9842 14725\n1050 13483\n517 13586\n78 5444\n10113 10360\n2483 15009\n14889 14899\n971 14853\n2642 7886\n5400 9257\n373 10803\n278 10588\n5863 7052\n12005 14669\n943 11938\n4654 13940\n1119 6448\n730 8883\n4167 13084\n10126 10345\n10876 14964\n1072 5146\n5122 11687\n4506 13367\n14174 14303\n5241 10837\n6456 7823\n165 430\n1908 3820\n3150 4396\n636 1713\n8053 13276\n6466 8357\n5948 7794\n3130 7924\n8007 13261\n104 3351\n6637 7819\n7848 10029\n4563 14013\n4054 12741\n2701 6546\n9061 9996\n1882 8243\n6014 6258\n7206 13206\n3942 11188\n3355 9721\n1560 7510\n7507 9535\n2902 15175\n1143 3159\n5609 11880\n4026 7480\n1300 11226\n5968 10821\n9863 12057\n95 6664\n7328 13351\n509 5622\n5072 7495\n8102 11483\n8381 15274\n997 2618\n2005 8101\n1735 12277\n357 3042\n3047 5465\n5218 15249\n7804 8207\n317 13885\n4170 4383\n8503 13679\n1341 9007\n6946 11977\n1764 11520\n831 3806\n1293 1559\n297 9674\n11107 11529\n12929 13459\n11592 14537\n7803 11289\n5877 6134\n11117 11678\n4647 10354\n4336 8145\n2876 15235\n11034 14053\n2377 10716\n1720 10671\n9042 12890\n3970 9471\n3534 4287\n2443 2694\n3600 6926\n571 8217\n11819 12798\n13033 13718\n6417 6738\n4630 7096\n8691 10717\n1810 7100\n541 11837\n13532 14556\n963 13975\n5938 11974\n1514 9597\n1034 9601\n2429 8525\n9205 13938\n10281 11633\n11943 15036\n3871 12297\n3490 9050\n1142 10153\n1557 8545\n2511 11649\n600 5838\n7409 8373\n9496 10694\n1875 7868\n2334 3755\n8432 13851\n8644 10981\n2592 10038\n9229 12341\n4317 10293\n4913 13290\n3939 4339\n8264 8343\n5451 10924\n4470 10541\n161 11232\n2476 11694\n4852 15033\n2330 6021\n10184 13806\n7760 14128\n8917 15281\n9493 10468\n5781 11442\n6739 13667\n10165 14178\n2575 14123\n9837 11776\n11734 12145\n5076 12675\n14635 15261\n1965 8798\n7899 9597\n458 6597\n565 14501\n45 7732\n1242 13164\n5604 7483\n2083 13549\n286 11509\n332 14049\n3368 14483\n6707 11872\n11733 11846\n7871 8443\n4284 4336\n8775 10800\n654 12113\n11501 14541\n3417 6589\n3550 4578\n3741 10161\n4367 8872\n163 4825\n5421 10435\n8833 9867\n3537 11136\n937 6564\n6183 11832\n4620 6765\n2533 9083\n6791 8075\n9432 13046\n6234 14962\n1743 4032\n1483 9646\n7581 8591\n2202 9522\n4533 14496\n1323 5976\n1031 3526\n2539 6175\n4032 4773\n8375 11488\n2583 9999\n884 2009\n1045 7489\n2360 11124\n10769 13798\n4677 5236\n3869 11963\n7265 10936\n7753 13306\n3106 10202\n907 13256\n5444 11845\n3173 3878\n6427 12516\n4422 14821\n3014 10306\n8015 8583\n1679 1923\n5786 10052\n7007 11883\n754 1809\n730 13819\n7421 7818\n1072 2124\n9553 12475\n6758 7170\n5122 7950\n107 8711\n2831 15015\n5691 7512\n253 8361\n169 6030\n4762 6528\n14451 14566\n954 9598\n8255 13486\n7290 14289\n3160 11579\n11017 11196\n2680 14485\n8343 14326\n5277 7361\n2024 10675\n9144 12925\n6362 11883\n11359 12500\n1818 14283\n12669 15129\n10420 11240\n282 3247\n9904 10254\n1389 3320\n3585 12367\n3993 6156\n2169 4695\n2970 12695\n10502 13813\n1578 4548\n2707 9914\n3380 4552\n3567 4654\n3014 6670\n7581 8799\n4189 10123\n2354 15255\n8981 9631\n5076 10238\n9554 11883\n12822 14537\n2356 11612\n10874 14779\n15 12519\n354 4976\n3747 13660\n10527 10534\n1756 5003\n3282 8182\n1565 6998\n1760 9976\n3836 14269\n9338 12407\n266 9902\n3410 8796\n1034 11488\n4252 4830\n10574 14890\n10760 13842\n7799 13817\n11361 13963\n654 14495\n1337 14785\n3660 6606\n9550 11426\n362 5747\n4381 12536\n2916 7412\n6108 11914\n467 2783\n6231 10687\n5133 10670\n4097 10558\n3467 9041\n9660 10610\n1610 11267\n5969 8094\n4683 7412\n1341 4218\n14106 14450\n4814 6973\n12609 13875\n3997 11909\n6567 11556\n11293 12577\n5790 6798\n5043 12776\n9835 10567\n12809 14158\n4552 8229\n11688 13737\n4116 13153\n7432 10953\n2475 13755\n6557 7252\n3457 5622\n10044 11683\n6056 10015\n1301 11663\n2438 11716\n6406 8892\n3930 8190\n135 6107\n1049 12815\n7530 9172\n4863 10233\n1714 11029\n6091 15112\n7255 10525\n13675 15160\n2342 14675\n895 5156\n8708 9366\n9134 14104\n2437 6982\n9273 14188\n13285 14837\n7731 8571\n8867 14380\n5915 5934\n3233 4155\n12301 15043\n7760 13557\n674 3998\n8875 11378\n4889 8458\n1780 8466\n4399 14642\n3269 14075\n6322 14781\n6350 10090\n2977 13576\n6431 10144\n2755 10904\n3381 14755\n3859 5401\n4322 7749\n5697 8401\n1156 10006\n1139 2892\n6469 6864\n1461 9548\n2251 13088\n1255 5384\n1393 5632\n1607 9564\n10104 13836\n8166 8361\n2643 2783\n3629 7429\n3353 14968\n1127 11971\n6178 9197\n6228 6989\n2777 14160\n782 9786\n3559 4188\n9831 10730\n1895 12600\n6506 10146\n4364 11870\n5598 6492\n4238 6032\n5366 12183\n3417 3538\n1504 14982\n5034 8956\n6137 7345\n7172 9858\n3405 7165\n2703 11258\n10965 14036\n2276 10425\n4413 4601\n1273 9629\n9796 14035\n4170 6790\n1721 13690\n2293 2978\n3815 14353\n2556 8332\n2940 9223\n7152 11306\n8273 15063\n6023 14171\n2016 13203\n638 9551\n12949 14614\n8391 10022\n9221 9303\n10524 11929\n750 6401\n7955 11562\n13317 14803\n6268 6526\n957 14360\n10979 13399\n9197 14402\n3238 8344\n9638 10306\n11163 12124\n8353 13644\n2751 5579\n9276 13408\n11956 13219\n5080 6052\n906 14135\n10027 11010\n509 12757\n876 5895\n4025 11904\n2417 14865\n2760 12381\n195 10772\n7238 14244\n328 441\n6945 7744\n9850 15015\n59 4586\n10800 15043\n38 6633\n4158 14308\n1408 4875\n4295 10705\n2406 5678\n6551 14850\n8441 12396\n3250 10705\n9820 10651\n11162 11387\n4805 12176\n7043 9618\n8869 11705\n1498 4490\n8735 13910\n745 3366\n1323 1927\n9133 12117\n4323 8972\n2234 13849\n13787 14406\n8142 10730\n689 12322\n3142 6453\n1453 7606\n9245 15031\n1292 10199\n13761 14269\n2279 14489\n10556 11187\n8808 13163\n2987 9560\n8509 12736\n18 15034\n1581 2944\n2863 6276\n3120 11400\n6319 13738\n10858 11428\n14277 14373\n4892 5389\n8014 10105\n3066 3664\n2463 14661\n12673 14833\n866 3507\n3693 9844\n6688 11658\n4353 7833\n8285 10448\n8787 13283\n1378 12117\n8437 10215\n809 8897\n6276 12205\n5836 9640\n4706 13849\n5117 14839\n2482 13488\n9130 12033\n7311 14505\n12910 15038\n3698 8032\n1744 9748\n12801 14309\n6871 13359\n4189 14294\n2435 6186\n5038 13725\n5209 13259\n5385 11026\n11591 14977\n5504 7730\n9618 10526\n14324 14699\n5092 11193\n3614 13839\n7006 8523\n3590 5044\n3949 9274\n7317 8449\n9392 12365\n2948 2968\n11421 13248\n280 12773\n4548 5710\n1255 14607\n7252 10140\n3822 12080\n3696 14801\n1798 8122\n4202 10501\n1342 11951\n6046 15265\n5063 11149\n3014 13953\n6683 14998\n12024 14670\n889 7698\n8032 8492\n8390 12729\n1433 11014\n8522 10745\n2476 5179\n8167 10451\n3132 9385\n6822 10913\n2849 10318\n449 8892\n8066 8201\n507 764\n3209 13625\n2022 5491\n5835 8762\n1890 5130\n10865 11463\n13635 14830\n7496 7808\n8519 10180\n1176 14949\n3429 15260\n5594 13719\n965 7256\n6259 13667\n1111 13740\n4259 7335\n10418 11602\n3395 10764\n12282 14585\n3803 13372\n12198 15232\n11012 13519\n7689 10088\n14733 14914\n399 14681\n6340 9631\n5615 8641\n8978 11167\n12224 14351\n1866 7206\n2075 2197\n5719 10959\n2388 11801\n4123 4198\n4028 8603\n2920 5737\n3522 9069\n5370 9197\n2064 10498\n6556 13905\n1483 4922\n4263 11589\n1464 10607\n3123 12895\n6813 11973\n4601 13849\n7198 11646\n3651 10025\n2951 11418\n2486 13499\n4651 6760\n9555 10018\n7198 10698\n9560 13366\n6478 7197\n4124 11997\n284 13569\n1903 2764\n2433 3636\n4091 15012\n3268 14342\n12537 13433\n2098 6207\n8920 9982\n1755 13332\n3261 15251\n8484 12659\n12120 13447\n1558 14490\n1792 13793\n12196 13097\n3535 14623\n9790 11426\n3655 8473\n4068 9621\n8065 9589\n3495 6953\n2057 11376\n7492 8534\n13033 15287\n1219 9283\n4130 5922\n5526 13914\n13 5196\n12457 12896\n5061 8804\n4102 15297\n1091 15116\n9777 9924\n3935 11624\n3336 14826\n5170 10696\n5993 7920\n9754 12788\n6808 10185\n5363 11071\n4971 13607\n1875 11194\n1829 11997\n5234 11815\n12283 13011\n149 2970\n2931 13016\n2696 14385\n324 5835\n5273 14251\n665 13721\n826 4469\n8749 12672\n4045 8819\n11364 14964\n8239 14158\n1413 3098\n2847 8559\n4963 13697\n453 12760\n2879 11356\n5445 14517\n2623 3377\n7223 8758\n6409 10845\n6686 10547\n2190 12431\n3269 9522\n1665 4812\n8906 13563\n2902 8028\n2566 7243\n4067 6820\n149 10262\n3026 8677\n6245 10240\n6710 14185\n1448 4041\n2056 5865\n11645 14371\n949 14129\n3884 12979\n8880 12647\n5830 8438\n2480 10578\n4816 14845\n4242 12006\n2103 5730\n7956 12662\n6262 8247\n5146 7614\n1444 5533\n10010 11310\n4686 9394\n4648 6547\n6096 8678\n6239 13254\n5659 6941\n1309 13190\n4936 12749\n352 6421\n1081 11637\n4094 5038\n11463 14202\n4457 5641\n11014 13237\n1716 5184\n6622 11759\n2198 6046\n4908 10775\n8931 12417\n4997 7080\n6839 13789\n90 2138\n12245 13278\n1096 13907\n10917 11329\n8322 12162\n1727 13660\n6827 11448\n909 6859\n8543 9570\n2221 14854\n5700 15126\n1819 9548\n1220 2506\n7887 14786\n478 8815\n4552 13757\n4035 8522\n10675 15046\n12563 13369\n12122 13258\n12130 12353\n7975 9501\n108 13746\n3882 15099\n883 7529\n2811 11986\n5264 7351\n2433 15283\n4870 12673\n1296 3032\n13297 14043\n3970 5173\n900 15053\n775 13309\n9179 12870\n9010 14316\n10768 14279\n180 6858\n433 3214\n2766 15263\n2207 10886\n3930 4952\n4592 9930\n5330 10071\n10749 12247\n6601 7989\n3147 6462\n4390 4403\n8713 10738\n11773 13649\n7880 11421\n5501 13557\n1283 13277\n5584 13544\n1270 4976\n7730 13801\n2004 12652\n6956 10962\n12868 13594\n10780 14234\n4704 12461\n1108 4415\n2244 10049\n198 306\n5798 13237\n3834 6052\n2888 10072\n2673 6196\n729 11335\n2164 3925\n5532 7169\n10718 13412\n4356 5579\n5414 9868\n9233 12414\n10321 14584\n9417 9700\n2911 13399\n3582 13796\n9273 15302\n14068 15183\n4564 10678\n5633 9900\n7340 9453\n4782 11791\n4720 14422\n7689 12948\n626 9840\n3899 7133\n767 3498\n3038 5642\n9989 10502\n1542 9000\n2801 3210\n1994 5085\n2435 6726\n7509 9235\n9136 14521\n3880 11961\n11839 12061\n1022 10545\n5650 11632\n488 8961\n2416 6163\n11102 11739\n3900 12812\n1059 12268\n5636 12118\n9808 14613\n8924 14123\n6711 10300\n12435 12547\n1691 12713\n5968 12844\n7373 8572\n4298 13859\n9365 14884\n1727 9600\n1017 8069\n1981 4212\n6005 10690\n2417 13124\n219 14524\n2770 13699\n3044 10117\n3360 8404\n12801 14756\n440 2328\n1102 3924\n5294 9339\n4827 9540\n5700 8899\n6675 10373\n2907 6558\n7952 12771\n8518 14310\n12235 12647\n289 13648\n3126 3661\n5716 14944\n2171 10639\n3694 6643\n1939 10701\n3276 6722\n7889 11885\n8530 10641\n1972 13730\n8916 11302\n1920 7278\n5822 13158\n2888 10291\n2005 5462\n2482 4611\n2873 6144\n6573 8857\n8457 13671\n277 8109\n8947 12382\n12968 13566\n1660 6299\n5110 11425\n8765 9185\n10891 14033\n2497 6891\n1228 5045\n5494 10003\n1483 12956\n2408 15041\n4470 5857\n9038 15145\n198 13588\n2241 11588\n3449 10037\n7159 12136\n9296 14994\n3515 15076\n5414 6962\n4217 5769\n311 7256\n2358 9528\n95 5476\n14007 14488\n9806 10362\n4635 13699\n8655 10834\n6397 10741\n7053 11401\n1803 11244\n1415 8138\n6467 14054\n5120 8080\n3047 14642\n11135 11869\n1076 10292\n11447 12161\n2104 12268\n2007 2951\n7697 10010\n239 12400\n3706 12859\n279 2939\n196 267\n4865 11852\n2248 11957\n1840 12941\n158 11692\n11126 12171\n4402 12078\n1665 13189\n10834 14633\n9608 10807\n11847 13634\n2082 2211\n1603 15222\n7739 12196\n4134 8058\n2943 3752\n1207 8641\n4171 7344\n831 6597\n769 6161\n1875 7580\n11535 12223\n7123 8075\n2522 2918\n2821 13243\n8898 10549\n5390 12479\n1844 2717\n3992 14189\n3153 12288\n11625 13567\n5592 8342\n7752 9000\n859 8529\n700 14669\n102 6177\n564 4922\n3474 10100\n8177 10032\n5304 10930\n5504 11418\n4151 5739\n3348 9196\n7280 10281\n5895 6555\n774 4369\n3766 6613\n4992 7017\n6711 6777\n2014 15140\n516 9271\n2686 6094\n4275 7663\n622 14617\n6256 10614\n12860 14543\n262 8059\n911 10175\n12940 14289\n827 10683\n2859 10213\n245 13229\n1134 9645\n6776 12851\n1531 10861\n2079 15030\n3838 13661\n129 12703\n1003 14085\n2933 11040\n6408 8001\n11998 13259\n348 1409\n11811 14100\n12116 13505\n1702 11312\n1538 5224\n2902 10053\n7242 11075\n8332 11701\n9439 11259\n4881 6507\n1435 7335\n11383 12231\n12125 13991\n9713 14297\n1262 14205\n4360 14168\n3108 7254\n801 14526\n3433 10484\n3925 10342\n4463 9799\n2777 6841\n163 1165\n2450 11823\n6333 12438\n14695 15050\n6893 14662\n1942 15125\n4445 7042\n6161 6176\n1181 8992\n3276 8469\n10034 14178\n13623 14817\n962 14683\n7967 8082\n878 5442\n7313 8656\n986 1813\n4905 8914\n4507 5015\n11980 12182\n12709 14335\n1989 6285\n9918 14941\n3940 7047\n1085 14899\n7835 13871\n6169 8113\n1760 6860\n14356 14861\n43 9086\n3648 8223\n3973 14584\n6709 11673\n5292 11373\n8158 12097\n7772 14124\n1663 2006\n8190 13568\n1728 4804\n7400 10146\n10179 14267\n5205 6542\n3584 12325\n11140 11980\n12251 12748\n7818 13870\n3998 14635\n8000 9216\n2005 3426\n4486 11574\n438 2970\n1699 6501\n1148 5899\n637 12371\n6586 8846\n1430 15215\n1153 14795\n10785 10904\n3864 8682\n96 6360\n3024 10150\n40 3485\n6098 11585\n1212 13576\n10638 11534\n9423 10735\n11221 14901\n6665 11454\n78 5306\n4741 10555\n2366 7446\n860 10235\n8636 10317\n5270 9843\n11209 14041\n7009 9881\n7597 12322\n1758 10670\n5273 15018\n8771 15254\n10763 12795\n4124 8473\n10685 12002\n114 4298\n1235 14550\n8949 11949\n5078 14326\n14459 14581\n4354 10036\n6728 6879\n3841 12576\n9066 14235\n1025 11991\n167 4157\n2306 2731\n4745 5116\n842 6050\n716 13866\n7045 12843\n4197 12407\n1257 5549\n3334 9896\n2135 7231\n3677 7607\n5641 9453\n7190 7712\n8195 9908\n10922 13695\n2168 5939\n1192 14032\n6378 9289\n10706 12471\n1691 4793\n3250 11444\n1045 13054\n3086 13672\n1672 5126\n1524 6257\n12051 14482\n92 11672\n11761 12612\n9676 12999\n4425 13765\n5418 9955\n7218 7587\n25 9478\n7350 12063\n9080 9106\n2313 6148\n8688 13628\n6305 10815\n2781 7319\n7054 15121\n9761 9971\n1996 2281\n3107 7194\n4941 9773\n3832 6605\n8917 14769\n1313 5519\n1744 12580\n2788 8947\n2948 9586\n517 10054\n11311 13265\n1988 11400\n7941 10573\n4827 14476\n11459 15152\n7898 9690\n7095 11871\n3031 8309\n11478 13211\n1268 9592\n1657 7450\n6185 13636\n5454 11698\n9552 11368\n9053 9513\n1963 12167\n8345 9682\n5807 12102\n1763 9284\n8777 11353\n13217 14714\n4638 10118\n12095 12190\n6444 8844\n7268 8585\n3780 4528\n5170 9817\n4982 11036\n2993 5987\n3893 14830\n8750 9815\n5901 6183\n12373 13182\n595 7678\n188 302\n8812 10631\n5514 6848\n5305 6331\n271 8048\n5642 6934\n11794 12100\n4154 13496\n1097 6411\n1463 3861\n3083 14476\n1074 2239\n3916 9649\n2047 4188\n5295 8894\n400 6853\n4086 9899\n5257 12432\n5179 8008\n2349 12758\n2740 3302\n3437 7191\n1901 3138\n2619 8196\n12232 13944\n3326 5041\n10316 11212\n6933 8935\n870 1789\n10361 11841\n3908 14313\n8307 13936\n5615 7963\n2770 12387\n756 4106\n8485 8993\n311 9806\n1471 10027\n5359 9439\n4341 14122\n2500 3548\n818 14515\n6391 10832\n4310 12128\n9897 13029\n2636 8098\n3834 14629\n11934 13646\n3388 4669\n7465 7834\n3939 8065\n13438 13448\n1108 14069\n1686 2016\n3526 3711\n8037 10960\n10665 13333\n6845 8253\n6295 12791\n2421 13009\n6002 9728\n10849 12582\n11287 12023\n5009 9810\n1748 15284\n3817 5457\n3351 14129\n2982 4462\n5951 6405\n5389 12776\n7930 11873\n13412 14871\n251 2995\n13351 13930\n3512 11269\n4868 6519\n530 1989\n1334 9362\n6141 13151\n3717 13992\n2642 15168\n6429 10339\n601 10680\n6193 7895\n3666 12795\n1695 13670\n1768 15249\n5973 11033\n8892 11625\n480 11770\n4409 7172\n3045 9497\n3 9595\n8742 9407\n4450 10707\n1459 9503\n9842 12099\n11239 13565\n14241 15163\n467 6194\n2578 6513\n14191 15075\n4028 14109\n547 14227\n817 5126\n895 15171\n2322 14049\n11672 11775\n347 11961\n423 7417\n6353 12947\n4057 9838\n6803 11152\n1221 8422\n2712 9834\n2730 6071\n5463 13689\n408 12935\n2868 10881\n1384 7077\n3285 4111\n3113 11282\n3947 8642\n2647 5048\n1421 2578\n6375 13795\n1768 7854\n1379 12248\n1662 8695\n10729 11254\n6514 7354\n8433 12326\n12748 13571\n14920 15164\n5758 11335\n9078 14129\n1107 2318\n5959 12541\n410 8734\n3120 3712\n7825 8686\n592 7880\n3926 10339\n9379 14549\n7158 15131\n5699 11519\n750 4601\n2991 11710\n1265 10253\n2903 6833\n3587 10966\n5101 13699\n556 9019\n9357 11723\n1478 9252\n3455 7561\n11905 13963\n1298 14939\n13119 14858\n1357 9876\n7868 10726\n8856 9284\n940 6505\n5924 13448\n9670 13822\n3184 6244\n142 5755\n8201 14821\n6681 13003\n1535 3104\n802 5399\n1173 4565\n9867 14683\n10476 13470\n5633 6317\n3563 14043\n9494 12880\n3705 14150\n9520 10486\n8048 13478\n4029 10599\n5826 14825\n4975 12936\n5796 8258\n7876 14367\n1980 4526\n7735 8778\n706 5546\n2414 4337\n589 5168\n1371 2947\n6846 7806\n9721 12717\n8636 14977\n5680 5852\n4965 6699\n3033 5635\n6970 10498\n1676 10877\n8096 13807\n2483 7771\n5738 8617\n5929 8827\n6255 15065\n2292 4701\n1049 11472\n2183 14892\n9107 11682\n7962 14033\n2719 3534\n7323 13485\n12545 13558\n12155 14259\n2555 7819\n2736 13091\n2312 12501\n9581 9832\n802 5143\n572 8229\n4240 5537\n3811 9279\n12939 14083\n7877 12689\n10909 12510\n6666 11301\n1789 12532\n6272 7237\n10249 13777\n2215 9165\n5492 11575\n3024 7511\n3336 12339\n3189 11857\n7572 11959\n5059 9241\n3354 6218\n4111 5548\n54 2434\n3350 6116\n10120 11010\n717 3721\n9702 11760\n1477 13339\n3402 7436\n11112 13555\n10904 11063\n10791 12944\n9871 10446\n4702 11004\n2074 2878\n9664 14226\n12396 13970\n9965 11032\n13751 14710\n2944 8937\n1624 10999\n2857 4244\n2230 14267\n2409 3996\n5745 9931\n9062 14784\n920 5658\n8664 9832\n547 5433\n1766 4328\n2289 9524\n10773 14797\n7586 9186\n10414 13615\n8826 11577\n4620 7696\n8072 13767\n953 6372\n429 4711\n13589 14315\n4143 10880\n9228 10941\n2548 7276\n4548 6425\n6364 13896\n2880 14943\n9615 10400\n2729 6770\n1722 13034\n3724 10374\n11025 12536\n9407 10314\n6650 10921\n1876 7131\n148 14847\n14165 14356\n3244 9262\n4307 14873\n2978 13143\n5600 5635\n7111 11624\n13242 14236\n1815 13839\n11013 11563\n4262 12964\n3119 6049\n4496 14539\n1725 8439\n902 3785\n13269 14655\n10388 11862\n4488 14184\n8162 12432\n12555 13585\n9460 15204\n2268 11888\n746 8656\n1227 13604\n2582 13885\n6733 12480\n1445 6243\n126 9781\n4095 7835\n64 782\n5944 6125\n3163 6846\n11162 14916\n10030 10445\n487 4269\n6769 9601\n5852 7756\n4265 14322\n8496 11089\n803 10894\n2915 7756\n2594 6298\n1790 7883\n5699 10941\n5567 12693\n8942 13148\n2174 7387\n10378 13986\n3648 14788\n8114 12565\n10408 10442\n5904 6483\n1383 13506\n14174 14345\n359 13935\n1311 5600\n870 10704\n9460 14671\n4141 7947\n2815 8186\n437 13276\n14585 15116\n13770 14075\n769 2468\n2238 10072\n9709 11395\n8861 12915\n4129 8011\n1294 10463\n2356 10073\n6378 14224\n2638 5932\n8943 13687\n9338 11166\n5325 6377\n7735 11742\n8236 13210\n4997 7822\n5913 6653\n2514 6512\n6620 14687\n4219 11288\n10414 10810\n6905 13574\n4373 8294\n5346 9976\n7530 13307\n2919 4927\n6621 6838\n9403 14815\n19 5064\n5791 10453\n3810 13158\n4441 5549\n8610 11495\n10717 13793\n10476 14446\n425 1377\n1551 9800\n3573 7286\n5946 14388\n11172 13599\n1538 5909\n7868 10978\n6843 15236\n5027 14812\n9241 12508\n9421 11712\n1871 3602\n452 577\n1717 2198\n140 3712\n3993 11970\n2562 9939\n1323 6059\n11323 11560\n5696 13432\n3873 11184\n859 7760\n6052 8268\n4526 7308\n2277 11692\n10533 12820\n4798 11071\n1144 1304\n5012 7680\n9587 11973\n7497 11134\n1933 14997\n6417 10933\n10320 15200\n1392 2054\n6097 8007\n1760 6322\n1491 3988\n3272 12233\n5547 11549\n9385 13803\n2909 5769\n161 8485\n2952 14765\n2272 10389\n6911 13918\n7896 11588\n5647 10258\n3081 13780\n8910 12820\n4348 5313\n9475 14392\n380 11201\n7625 8902\n4028 5056\n2567 5202\n9563 11783\n9330 10808\n285 15094\n5996 14254\n10692 12264\n2405 2453\n8424 9680\n1191 1213\n2877 10379\n5352 8822\n2035 14157\n5288 10948\n6349 7562\n2514 13469\n757 4161\n1638 13153\n11169 12700\n3167 11885\n2880 14335\n3886 8048\n8799 13458\n6135 7505\n10411 13656\n11134 14527\n2310 12081\n58 5365\n4872 8734\n5532 7319\n1091 5083\n8869 13837\n4953 10359\n11613 14905\n11376 11810\n4470 14680\n6985 11176\n10445 11247\n1207 8695\n4532 4635\n1953 5816\n687 1351\n3490 9400\n6517 12986\n10470 13031\n2595 13504\n7191 8513\n7546 8178\n4134 5864\n2877 5381\n2782 8757\n924 13042\n2130 6520\n6284 7784\n540 12276\n700 10707\n2241 8168\n2585 7548\n10291 11207\n573 12736\n3135 9473\n2488 12207\n864 8864\n6178 12887\n4262 8100\n453 8701\n1120 11398\n4498 10721\n4721 5521\n8938 9126\n5868 8481\n2585 14559\n11114 11177\n4629 6706\n8463 12404\n2649 15040\n1140 8197\n4516 4753\n9799 11234\n2064 3460\n10967 11669\n2154 12574\n7052 8155\n3421 10627\n3251 4236\n9636 13734\n4441 14902\n8919 12450\n3517 15064\n4631 9795\n1064 12987\n7298 10414\n263 2433\n5106 10519\n2098 7979\n105 9768\n6066 9551\n5630 8492\n3577 13714\n2918 4522\n753 9500\n192 8689\n3554 5206\n848 7348\n1321 13684\n664 8275\n5337 12427\n2091 12010\n2666 5147\n5971 6147\n7374 15221\n2907 5342\n4029 5903\n1432 7175\n4231 8668\n2085 10973\n4960 9366\n14495 15214\n9870 11532\n6771 10548\n2434 12296\n8184 8731\n1502 13156\n9514 13003\n13507 15299\n6388 13872\n4626 13927\n13100 13176\n7759 11458\n7095 9848\n2900 2910\n6145 10332\n3324 5658\n5069 13856\n979 15182\n1781 10689\n4766 6797\n2575 4705\n4001 7328\n7978 9673\n7882 15009\n3552 10350\n11063 11562\n3920 5641\n2624 14013\n1091 4459\n3537 9655\n8948 14217\n4731 7162\n5833 11327\n9247 14271\n12210 13021\n10374 12562\n351 7463\n2046 9912\n1512 8421\n2004 4514\n4287 15181\n2271 7365\n2967 9864\n8165 11322\n5903 8343\n4463 7136\n1086 12835\n6793 8390\n6107 11369\n4192 11574\n5430 12255\n4111 9499\n1167 9977\n10794 12557\n6677 9727\n9408 10659\n3208 5229\n8026 14510\n3392 11217\n5931 11312\n2325 5681\n12772 14458\n4470 11453\n1370 6879\n4834 9459\n3859 9226\n4805 4945\n3051 6291\n3000 3001\n2688 9902\n12224 12935\n5203 9212\n5692 9138\n4154 11682\n838 12235\n7812 13379\n6061 6170\n4159 13254\n826 5488\n4117 6706\n10996 13020\n4033 12975\n8432 10037\n6541 10141\n2923 12996\n7635 9222\n9122 9133\n11426 13734\n5858 14537\n7148 12853\n4075 12294\n5791 11807\n735 11091\n5771 13373\n8178 10978\n11121 11906\n13280 13464\n6482 13006\n5356 11054\n3374 6232\n7484 10167\n750 6417\n12290 13072\n6614 10844\n2920 14060\n3348 13151\n8529 12623\n3813 8134\n146 3831\n2848 11254\n8404 15079\n4923 5271\n8894 13129\n5096 15060\n4817 13964\n5357 8702\n2599 14873\n774 8872\n2126 7688\n452 13041\n7275 14287\n8944 12468\n3424 6872\n1816 11582\n1734 6662\n10891 15092\n5731 9556\n1028 13394\n3475 9302\n12033 12315\n10001 14344\n7374 14844\n7997 10724\n7755 9832\n6598 9976\n4049 6013\n5531 8418\n889 5160\n14 6630\n8888 13264\n2447 14750\n86 7158\n1710 9518\n9715 14115\n12499 14659\n1706 4474\n580 5471\n555 10167\n9473 14164\n291 14714\n3181 6784\n6626 6777\n3249 3640\n3315 3862\n3141 10551\n2175 12723\n5851 7841\n1201 14203\n899 7532\n3747 3881\n1707 8839\n5070 8711\n1334 13307\n7308 14730\n3853 4814\n2075 8458\n2602 7697\n3419 11205\n342 2334\n3444 7453\n7354 14263\n3365 10636\n7531 13161\n10310 11637\n3452 8641\n2806 9183\n1569 2601\n6136 6577\n269 3020\n4580 8187\n9650 14716\n5338 11312\n5226 6591\n5163 8337\n91 12662\n3424 7315\n1378 7169\n2454 4492\n4770 12411\n2855 7318\n10431 13800\n123 13699\n1328 1840\n4103 8427\n240 10343\n7129 12745\n4819 11744\n1588 3706\n1182 6652\n4874 9811\n10008 12127\n2789 11602\n1512 8067\n1459 13557\n2814 15006\n1381 13509\n4547 11407\n4753 14280\n1290 7367\n6397 7459\n1832 4289\n476 6827\n321 13590\n8228 13950\n2549 9325\n7651 12246\n2247 8761\n10977 13536\n8966 12053\n6425 8618\n4280 12188\n438 3296\n12184 14563\n6081 10463\n8295 14272\n4607 11432\n10029 11453\n1724 2733\n2766 14589\n4960 15060\n5469 7601\n2882 8951\n7598 10360\n8233 9822\n5872 14714\n8601 13141\n2085 6733\n1258 9751\n5401 12207\n3359 5794\n1515 5593\n11201 11477\n1051 2249\n2153 3998\n370 1511\n3652 5635\n3154 13469\n826 891\n3282 11859\n5995 11321\n7279 8620\n14431 15034\n1425 3173\n6621 8672\n3587 13633\n6130 10135\n1693 8839\n9905 11884\n1752 15044\n56 4963\n8186 13287\n11975 14654\n3259 7944\n5570 12967\n247 2912\n2956 8039\n4286 11482\n6087 13563\n12827 14983\n1242 6024\n3543 6887\n2752 8838\n5753 11584\n551 13025\n8116 14172\n9643 11880\n5742 10373\n5767 8123\n8189 9035\n929 1096\n4321 15153\n4713 12354\n3183 14582\n8552 14579\n1758 3640\n2309 6743\n2668 5222\n2536 9793\n1508 15061\n5077 7944\n2611 10512\n4247 12304\n1664 11869\n4148 7855\n5540 12546\n5712 6072\n13091 13648\n11326 12900\n9154 11208\n11415 12982\n5334 6436\n4392 14866\n1714 13392\n667 10633\n3022 10796\n12968 14320\n8602 14556\n973 13507\n3016 7296\n9325 10908\n10367 10708\n226 9950\n12234 15273\n3619 11187\n11411 13113\n3637 12795\n14853 15273\n1136 8798\n12014 14930\n648 7655\n7398 9048\n6664 7041\n6758 8317\n13303 13690\n5787 8066\n2532 6050\n9612 13021\n6900 12797\n5061 11002\n10884 12603\n9435 11907\n4009 13089\n4147 9007\n8054 8986\n2836 8876\n10131 12355\n8136 10045\n323 7672\n976 2787\n6629 11532\n6384 10800\n7953 8227\n829 6275\n1518 11764\n3004 13013\n8121 8993\n664 3754\n1101 9606\n3300 6160\n7426 13070\n11099 11198\n5861 10162\n4924 7538\n5668 8827\n1186 13763\n6909 8198\n5469 6204\n5080 13677\n10095 11064\n4882 11487\n205 5041\n3745 5239\n5655 11654\n906 1525\n38 2584\n10919 13047\n628 1384\n8221 11320\n41 2861\n3534 6953\n5075 7507\n13721 13728\n4255 4456\n8113 9259\n1758 13561\n1066 14020\n3010 12647\n13215 14878\n3159 8041\n655 13002\n14331 14909\n4618 13046\n1713 14544\n2758 10708\n1949 2210\n2427 3722\n2655 11653\n1444 12921\n4059 7101\n3016 12425\n6086 13060\n3530 10114\n4113 12448\n8991 13664\n12843 14051\n3920 15192\n7890 10634\n3578 9791\n4223 10121\n10059 12762\n7296 10075\n2701 6841\n8307 14053\n4499 9552\n13004 13649\n16 13512\n46 14097\n4839 9627\n8783 13228\n6167 14981\n1274 4601\n322 10300\n5681 8092\n8523 14807\n1543 13844\n4806 8786\n1316 11471\n3680 5164\n3625 7966\n5353 7303\n2307 11811\n4972 11597\n5259 13420\n4415 7486\n3762 11408\n3287 14782\n5848 6160\n9606 14794\n7680 7925\n2057 3157\n5951 9479\n7517 7728\n11099 13519\n2743 8958\n12784 15089\n3487 12943\n1650 11630\n7121 10203\n8650 9592\n1776 14726\n6118 12147\n331 13618\n2121 3441\n1303 11249\n10793 12914\n2114 7287\n12714 13163\n704 12211\n6254 12713\n2557 7078\n5950 14209\n7068 8082\n7548 13434\n1669 12893\n5212 10823\n3491 9049\n6754 7169\n13117 13130\n1246 9015\n13509 13753\n3897 5793\n1060 2730\n12297 14007\n14282 14421\n4542 12571\n3811 4840\n1102 1899\n8396 9218\n7189 14603\n2300 10770\n4061 11266\n12120 15159\n7268 7790\n6396 12082\n5626 10994\n3527 14107\n1877 15124\n111 5130\n12573 13358\n1005 4745\n7479 13690\n1596 7882\n1666 3062\n8382 12693\n5242 9448\n1838 2772\n2181 6280\n11170 11885\n5761 9640\n5979 13093\n3636 10175\n3113 12096\n24 7992\n11560 15009\n3249 11695\n9003 14209\n2722 8844\n6400 10953\n5338 11522\n3568 9068\n6947 8479\n754 6943\n3174 7612\n6441 13537\n10384 14638\n1820 4868\n2624 5656\n12839 12953\n7494 11264\n4965 10458\n5394 12784\n1502 2705\n3811 14354\n4025 9564\n6997 7397\n4374 7262\n8164 11371\n120 864\n377 2436\n4984 13442\n8926 14833\n2422 11410\n8968 14585\n4221 5610\n2835 6214\n2885 9137\n10588 10810\n9210 13261\n5063 12921\n1639 12787\n1389 5516\n7364 8895\n7187 14662\n6141 14493\n12502 14483\n2433 5740\n9228 9270\n5980 13810\n2116 3617\n7982 13280\n1332 9811\n4012 4430\n733 7226\n4973 11371\n1923 13138\n4254 4334\n4019 13653\n12120 12186\n1917 2589\n6709 8908\n4369 8007\n1127 9127\n393 4014\n98 15052\n12839 14489\n1713 2541\n3124 6551\n8905 13681\n3825 8443\n1030 14401\n7122 10779\n2883 9451\n1615 13974\n6064 8019\n2989 13771\n2668 11881\n11922 12118\n12442 14105\n6990 11483\n10389 11595\n7161 7984\n8473 9628\n3981 6683\n5975 11093\n197 11475\n3005 5628\n9853 14020\n1858 9774\n8701 13313\n8428 11989\n7176 13219\n11275 14368\n864 3896\n2712 14287\n11799 11837\n4103 13329\n7242 13279\n7537 12397\n2325 10497\n3067 10846\n2935 3074\n4696 13082\n1811 7626\n6717 13613\n430 12582\n2354 6411\n1344 2491\n871 883\n2302 8188\n4582 10693\n11131 11292\n3537 4440\n6718 13466\n814 3625\n7146 11053\n2562 4664\n1446 3819\n3776 14311\n5701 8154\n8796 10067\n4303 15008\n7073 11329\n2643 8647\n561 10962\n146 6843\n7253 7888\n7258 11197\n12241 13889\n7352 8549\n3866 4766\n10574 12059\n6693 8330\n6485 14813\n1715 12722\n7695 15291\n11236 13911\n10875 14462\n3469 7188\n3852 11973\n4519 12286\n5390 9566\n3205 12536\n3897 6900\n2552 13890\n8166 11761\n164 12131\n6663 13871\n4890 13867\n11488 11711\n9 8642\n3330 8726\n3338 10144\n7852 14402\n10847 14615\n1695 6460\n4675 8960\n10134 10212\n8001 14226\n6940 12609\n10810 14454\n2745 8835\n9279 9639\n8665 12286\n5143 9963\n12196 14833\n12453 12511\n5608 10140\n10662 14332\n1353 3990\n6778 14721\n14786 14841\n4943 6917\n7497 12879\n5975 13263\n8083 9276\n7094 7346\n5282 11240\n4260 12525\n5609 6111\n5657 7706\n2921 9206\n3914 8543\n295 2226\n6462 8797\n2072 11335\n507 680\n4038 6095\n6040 12881\n3058 9387\n5890 10892\n2876 9047\n2494 9603\n324 11044\n10899 11513\n2042 4844\n6056 13612\n4002 12316\n1250 6864\n10955 14014\n6173 15173\n3794 9164\n181 9325\n2494 12504\n4732 11039\n6524 9480\n709 14763\n1875 15100\n7797 13449\n2283 14655\n2505 14899\n4370 13043\n1554 6664\n111 6525\n3919 10310\n650 4326\n11606 13319\n2025 6118\n7319 13808\n1299 3533\n2099 5797\n10688 11123\n4550 13477\n875 2153\n9960 11985\n11560 15027\n13744 14132\n5178 5460\n2471 8480\n3973 10840\n423 5989\n1502 14152\n864 5185\n6821 13005\n12567 12714\n2822 12085\n2206 6216\n11617 12389\n3334 12421\n3491 14550\n4969 9325\n356 3814\n3501 9239\n6198 9681\n4137 14430\n9671 15003\n1957 10032\n6294 13509\n2173 13478\n449 14202\n4893 13747\n9763 12763\n2930 9182\n469 3898\n195 3934\n6787 7614\n7887 13887\n690 11582\n7340 13501\n3857 9398\n6909 10784\n9225 11061\n2673 10318\n7158 10306\n109 6903\n7570 10836\n2715 11192\n10769 12960\n5165 6704\n5394 7637\n6856 7457\n12325 12849\n5045 9421\n7703 11656\n2538 10440\n3643 12185\n8878 15020\n11975 12781\n1431 8507\n2870 11671\n3820 5012\n4704 9998\n5991 6168\n9076 14914\n1969 4454\n4069 9758\n2988 12971\n6810 13402\n1734 6702\n1853 5615\n1018 12271\n3786 4009\n811 9736\n5705 5975\n2402 12277\n537 12544\n7014 8031\n2695 6924\n70 8495\n2607 7984\n6702 14508\n4719 12145\n8398 12479\n1882 7653\n11187 12842\n716 7097\n176 5726\n1435 14211\n4116 8174\n1844 11536\n11818 14125\n6875 9033\n3815 9399\n6135 11487\n13561 15047\n3352 13370\n2435 6130\n610 6556\n1066 14779\n1393 5553\n7065 8011\n9904 14873\n7185 9777\n2562 8405\n8147 14650\n5753 8371\n4318 8525\n6552 14344\n3252 9245\n3798 10230\n265 4033\n113 516\n4765 12238\n12850 14545\n9248 13942\n13395 13904\n5001 14149\n5147 7175\n2501 8959\n5173 13586\n7420 7646\n9403 11808\n2445 5445\n933 5919\n8422 8471\n7699 14168\n4529 11384\n5984 7873\n4576 14510\n4819 13756\n731 3187\n7505 7876\n2990 8913\n4271 10617\n9434 9601\n9389 13000\n10239 10366\n1528 3581\n4293 4624\n7656 14332\n143 3421\n943 12258\n9640 10367\n9695 13002\n46 10101\n9029 10260\n4443 11438\n7500 11011\n2943 8620\n24 195\n2755 10713\n2298 4625\n4998 10147\n11695 15212\n2397 11502\n2592 3386\n12404 14809\n4533 11157\n3533 9241\n5353 7090\n7897 8697\n2001 11076\n4759 8786\n7260 9310\n3178 13997\n8062 12640\n4568 5126\n4613 14667\n11388 13202\n5339 14464\n10943 15304\n1141 12265\n7841 7851\n4996 6016\n11570 12486\n7228 14798\n1005 8493\n7485 10869\n6680 10404\n4215 6412\n1800 9391\n595 4766\n8098 13852\n8588 14279\n6785 13937\n4872 12624\n4910 7810\n3997 13809\n896 12956\n263 11928\n3479 13128\n14221 14845\n2716 6195\n5917 13338\n3612 12006\n1656 5044\n200 7103\n5496 14756\n3202 7861\n6137 15126\n2754 12437\n1808 11610\n6338 9546\n1778 15182\n7726 12935\n1655 9862\n5777 14174\n3560 15036\n5957 10021\n2331 5689\n7554 8848\n2242 7813\n580 1804\n11648 13848\n8671 10615\n1021 4543\n7124 7593\n7467 15027\n12325 12499\n3498 14388\n6456 13682\n9161 12150\n8103 14308\n6774 12040\n10323 11235\n894 2723\n1537 14576\n7939 10447\n2060 11051\n7022 12948\n10269 12572\n1900 11251\n3007 5927\n1227 5032\n4724 12981\n307 1500\n2006 2194\n450 13077\n689 6198\n2041 6918\n2564 5550\n2269 13792\n5420 8088\n3142 3515\n3737 13777\n823 8834\n7087 7908\n4999 6140\n2085 8611\n10386 10488\n11044 11995\n4748 11995\n139 5027\n783 6501\n9129 14472\n781 9052\n7234 13381\n1508 9418\n7071 12553\n6480 9422\n4305 14048\n3584 11776\n8656 11873\n2423 14965\n5659 6603\n1820 15236\n2679 4558\n4190 12353\n6966 8014\n1522 4023\n284 2041\n6780 9748\n8275 13171\n899 11020\n7424 14563\n6590 15160\n11786 12751\n937 6505\n1507 6562\n5248 13872\n12731 15207\n844 4671\n5073 14178\n8642 14524\n853 13836\n1445 12878\n7167 14603\n8725 13905\n9491 10634\n1143 5461\n1752 8740\n197 6413\n6620 7949\n13159 14889\n2492 3276\n10167 11521\n6482 10313\n1205 4160\n5874 15271\n3911 13005\n10424 14614\n6128 13133\n10482 14504\n13143 15193\n7627 9862\n1211 11601\n3958 5441\n9556 14228\n4357 12458\n10089 14041\n1293 5683\n1462 12341\n2429 8490\n526 13304\n7602 12113\n4386 5979\n4292 9075\n4086 12760\n6715 9676\n790 5418\n10685 13105\n664 3914\n4959 13636\n7966 11326\n4727 6776\n2207 3443\n2431 8543\n4338 9119\n2972 13943\n2477 12020\n4151 11995\n2520 13355\n5757 13745\n478 703\n4708 10891\n11557 13371\n10953 14330\n13159 13961\n9101 11713\n527 9168\n8122 12714\n8554 10127\n4431 9646\n3126 4088\n393 1849\n8035 8210\n2720 11843\n5912 8121\n5253 11516\n8526 10677\n2389 2764\n7106 8059\n10945 13246\n5385 6289\n4008 14010\n1874 10258\n14105 14747\n268 4137\n1767 12354\n9530 12193\n3841 11924\n5836 11644\n4626 14272\n1569 11155\n6959 8615\n3055 15214\n9635 13073\n8888 11185\n6489 7454\n8343 9764\n9416 13025\n5572 14378\n2532 6577\n2524 14498\n5088 6954\n5675 13419\n1000 3094\n560 7983\n6071 7755\n5972 11953\n544 5604\n639 4054\n12718 13347\n328 1707\n288 13509\n534 9229\n2430 14291\n9105 9735\n8169 12178\n8831 9277\n6197 12303\n11423 12402\n3816 10358\n6648 8787\n4896 15294\n5535 8979\n7859 10192\n134 5029\n2089 10916\n2396 6256\n3610 6766\n3143 7192\n6055 9364\n3153 10855\n11970 13263\n7178 9993\n7013 7225\n646 14894\n3755 14589\n1199 10261\n1581 12473\n4462 6494\n213 13158\n6341 13790\n1108 12452\n57 8823\n9830 14702\n36 10972\n1137 11970\n13923 14733\n569 2824\n2422 14136\n6966 7632\n4159 6514\n4039 12753\n17 8072\n736 14112\n5709 9433\n561 12147\n9537 11411\n6343 10471\n4677 5996\n517 4448\n2357 6142\n1283 6142\n193 2355\n5808 10590\n10001 12540\n8239 13991\n5692 10975\n12005 14878\n6143 13030\n4607 9062\n309 6380\n7082 8988\n8876 13546\n998 12630\n4759 10251\n8061 13634\n1408 3856\n788 10514\n2209 5015\n2542 5591\n2669 12144\n8685 13874\n4971 11589\n3869 4678\n7544 14983\n8065 8121\n7073 13312\n3783 12328\n7032 7430\n14757 15242\n3127 7077\n4863 11062\n2588 5296\n6550 6831\n2910 9046\n2788 2993\n5285 10936\n721 6744\n11560 14528\n8708 11311\n5597 14165\n4819 9036\n2692 14036\n5435 10906\n3384 5790\n4224 13914\n4881 9985\n2490 7950\n7142 13332\n1685 9761\n8543 12563\n13752 14940\n269 7684\n4055 12929\n252 4106\n9698 10747\n161 13685\n2525 14796\n9505 10681\n5211 5663\n1503 2723\n864 5506\n6210 10013\n10724 11108\n7720 8083\n8537 13900\n7750 8826\n4681 5601\n2929 12734\n3128 3668\n2596 10845\n8396 11168\n1234 7860\n2575 11617\n110 413\n3495 7931\n6184 6387\n10248 12398\n846 5428\n6796 15210\n2706 5216\n1458 15070\n3319 6732\n8794 9026\n3025 3663\n5042 13945\n7518 13248\n86 3859\n9266 14114\n588 3037\n3744 13711\n7625 8934\n6645 6774\n1570 10283\n1577 14971\n1406 5116\n10244 11680\n2251 12678\n8507 9924\n4508 7080\n6396 14600\n3849 14754\n2569 15053\n4031 11962\n8424 10753\n14366 14654\n3917 9597\n2066 12895\n5725 6422\n8308 14115\n12702 13259\n5758 9653\n11116 14450\n3213 10028\n779 3408\n2702 4821\n1376 1985\n9228 14610\n6436 11498\n1587 6013\n8134 10840\n5989 12400\n1140 11123\n3941 13558\n2631 7753\n3508 6679\n3984 12395\n9490 13791\n4037 7030\n450 1175\n1866 11992\n8989 9051\n2737 15055\n640 14963\n1769 9073\n9113 13420\n7899 8913\n4598 10587\n2611 12308\n1545 2146\n1951 13431\n14170 14646\n4701 13473\n8974 14170\n6372 8357\n8109 12392\n12308 13661\n8139 15159\n5776 10307\n8459 10353\n12017 14692\n4533 9568\n10030 10565\n4236 15028\n6671 6794\n11656 15088\n8150 14426\n11458 12274\n8384 8449\n9546 11207\n309 13336\n12046 13254\n3229 5630\n8027 13951\n9535 11498\n4506 8354\n9529 13339\n1032 13011\n4805 9164\n3780 11495\n5353 9485\n13013 13752\n3153 5457\n9432 11091\n273 1464\n11568 12360\n12709 14722\n2801 3025\n5680 11302\n5112 8861\n2507 12597\n4605 6236\n12891 13169\n1135 3070\n8997 11880\n10144 10453\n5670 8804\n793 10121\n8058 13193\n3141 11439\n2831 13109\n11235 13833\n4377 15210\n2926 3896\n4691 8929\n7455 12936\n3760 4538\n4439 12182\n3858 12056\n18 3890\n10804 11285\n10848 11249\n494 8167\n2174 15110\n7285 7903\n821 8467\n1715 13706\n2518 11217\n4841 7910\n116 8982\n7561 11713\n2485 7970\n11828 13527\n9711 12899\n6033 6916\n239 12861\n7265 11736\n1524 8921\n3706 12960\n1381 7912\n2608 7615\n208 679\n4801 4832\n1433 4342\n10079 11987\n11981 13025\n2869 8387\n5262 6154\n9049 11237\n4919 9324\n5320 6876\n1405 10547\n6619 7714\n742 11559\n7079 10430\n3235 14640\n4258 13971\n10168 13876\n6915 10031\n3929 4030\n8523 10305\n10934 13155\n7788 15031\n632 2775\n5015 9600\n13599 14227\n12896 13971\n11701 12737\n5924 15285\n10850 14175\n912 11568\n5689 11778\n4975 13313\n5928 11335\n4621 11347\n7674 13768\n5954 10445\n4910 15059\n10093 11575\n5424 9922\n3992 12010\n12183 14987\n11522 11782\n9789 9887\n8127 9803\n2265 13218\n4518 13694\n1624 4010\n7208 9708\n9362 10888\n1472 12357\n843 13046\n3470 13223\n1225 13084\n4045 4354\n498 9979\n7043 14448\n11320 12817\n4262 8861\n5118 14168\n2001 6613\n7833 7967\n8481 15300\n5965 9637\n11189 12341\n1289 4898\n5083 6244\n14766 14855\n51 3468\n173 15281\n4841 8001\n2101 14298\n7259 12207\n3691 6395\n3503 8593\n10218 13529\n3022 15261\n4690 7793\n452 11224\n4629 11707\n10960 13531\n4417 14242\n3110 5162\n1968 9191\n6540 10035\n969 11838\n4869 12357\n6872 9695\n13308 13342\n5075 5606\n1927 9111\n9114 9294\n2002 2146\n10836 11409\n2224 14426\n4291 11926\n1201 14472\n3138 6705\n1651 8045\n12157 14235\n413 10254\n7956 12725\n166 8993\n13919 15281\n6869 13510\n2826 2911\n1502 14397\n11888 13196\n4062 6360\n1568 2682\n6629 8152\n1946 3412\n12435 14120\n1370 14197\n8029 14661\n984 3294\n7823 10342\n7847 15097\n7697 10623\n4504 10137\n10342 14789\n3693 15166\n5198 11179\n2148 13675\n3432 13771\n5594 11795\n12370 14003\n9322 13071\n6344 10352\n374 9303\n2737 10815\n3027 8524\n9443 14245\n4313 6751\n3807 12862\n820 6389\n1267 12936\n223 1001\n11315 12429\n4548 10699\n4684 7706\n8781 11800\n835 6714\n3828 9205\n5860 15144\n572 11742\n10741 11068\n5671 8351\n390 6070\n10055 14359\n8719 10559\n1757 2894\n4359 5282\n52 384\n7022 9512\n4369 14495\n5116 8550\n2319 13208\n11251 14845\n7476 8107\n592 12621\n2915 6689\n8698 9455\n7963 9882\n3192 13052\n4936 8953\n719 1794\n8521 11122\n3898 13507\n10169 11201\n6238 7309\n209 12307\n5914 8161\n3700 12021\n2049 8814\n302 6665\n9911 13689\n12128 14005\n3222 8481\n1105 8679\n11154 11636\n874 3707\n12497 14429\n5532 13333\n2371 7007\n2838 8921\n75 13654\n4160 13802\n7082 14246\n6594 12735\n9839 15144\n2754 13888\n1080 12355\n2502 11780\n515 8493\n3731 9724\n631 9276\n3018 6693\n9091 12121\n979 12209\n8165 13866\n3357 6029\n2481 13691\n6329 8046\n1242 11749\n1034 13301\n11313 15184\n11786 15070\n723 2337\n10452 14097\n4156 5231\n1605 4133\n5398 11925\n10310 14885\n2374 14392\n8026 13619\n918 5852\n11606 12915\n1890 12503\n804 14468\n8415 11981\n9550 13847\n6856 14135\n8954 15264\n1318 6697\n9149 13629\n10529 11268\n9746 10765\n4926 12085\n8780 12344\n8828 9215\n9316 9559\n13740 14398\n835 4899\n4660 11501\n1259 1340\n7795 13671\n9278 12703\n8674 9800\n4516 9906\n4898 8529\n4586 13714\n1104 12354\n174 9326\n14714 14919\n2882 14700\n14294 14338\n289 13124\n120 4267\n1256 1389\n2792 4685\n5913 9179\n8993 14382\n4333 14921\n3282 8970\n354 1477\n1620 6897\n6292 13389\n5428 12806\n2021 7304\n3496 4340\n1728 3417\n4366 11651\n12935 15043\n6876 14400\n2213 10004\n6678 10771\n2740 12789\n626 12532\n7861 11804\n1743 9655\n2628 7105\n270 3316\n684 9133\n3271 10839\n3141 13437\n2666 5088\n6010 12729\n1197 7621\n5175 9692\n9771 10403\n293 8771\n3062 10366\n10887 11972\n9022 12042\n140 5690\n2778 10386\n3225 5753\n2226 12298\n3361 11526\n2710 7736\n833 5738\n3805 6680\n2056 13181\n4837 9654\n256 12156\n4571 7718\n6223 13203\n8576 14146\n2259 14890\n1078 11483\n9541 9908\n3716 8138\n1134 4947\n2579 2789\n949 4795\n11396 15289\n2262 6439\n7424 11856\n6344 12052\n7213 8933\n1361 4404\n3799 11312\n1181 1188\n10998 15029\n5622 7948\n4483 14827\n2932 14380\n281 4003\n1423 6884\n8008 9886\n1699 8832\n399 451\n2941 2966\n1391 10037\n11834 14679\n10535 10591\n1397 8610\n5377 15280\n8493 12304\n2883 5546\n64 4281\n1363 11442\n4964 5454\n7540 9490\n7271 7599\n13126 13310\n7573 12773\n1412 5935\n2074 8037\n4859 11289\n6004 8958\n2018 3355\n9758 13759\n710 10938\n1584 8337\n11121 13728\n1875 14192\n617 12394\n3112 12548\n4772 14207\n11638 12947\n2111 6032\n7122 13348\n13097 14654\n8637 10866\n11025 11480\n5405 9390\n9581 14734\n9042 11756\n7179 12426\n3092 13347\n8297 11333\n5127 11354\n4712 8782\n3628 9088\n5240 7863\n10426 11696\n7161 9645\n4087 14289\n1896 10624\n1563 1827\n4354 15219\n8711 10827\n1243 14284\n1931 5400\n6460 14722\n5236 11727\n9358 10943\n12759 13288\n11228 13175\n3197 11077\n8697 13440\n9210 14975\n5757 14798\n12237 14802\n1784 4767\n5782 14229\n6008 6924\n3901 4423\n9022 15033\n3628 5383\n6738 9630\n699 1564\n1940 9497\n1356 13824\n2971 11437\n7044 7473\n4600 9629\n8373 10955\n5950 6538\n1013 14894\n10540 12242\n6784 7704\n9445 15096\n507 3202\n8465 12072\n8175 10881\n4730 5292\n1859 6747\n1162 10227\n5861 14684\n226 987\n4812 15306\n7247 8929\n6026 11722\n6649 7227\n4026 8062\n944 11030\n4982 10003\n1045 8136\n10458 14776\n5413 9221\n1052 9514\n3309 15059\n8432 9165\n14687 14737\n1849 8509\n1395 1627\n14271 14274\n6832 8915\n9525 12539\n9925 9951\n911 10489\n8525 12724\n6609 11374\n2108 12450\n1236 15093\n127 8721\n8189 14189\n3038 9814\n3553 4059\n9407 10555\n3727 6074\n640 6340\n1113 8553\n3541 13755\n9234 13692\n7137 10385\n3683 12376\n11103 11574\n3272 12429\n6818 9055\n367 5950\n9839 14511\n2996 5445\n10234 14170\n6587 10241\n4494 13289\n4697 14660\n9697 13008\n4825 7279\n240 1412\n7051 11308\n1118 12106\n440 5912\n6772 13790\n1071 5629\n8659 14915\n1104 6530\n4619 5958\n2339 4904\n7283 10930\n4684 5856\n1200 1264\n6816 11817\n66 3881\n6392 11768\n6355 9728\n10256 11369\n4275 14488\n3858 5389\n3640 5924\n3317 5577\n9197 12554\n5091 9534\n6728 14148\n6325 7588\n5547 8332\n11802 12947\n665 12547\n8560 15202\n4582 12865\n8975 10920\n6490 11941\n5443 11446\n7835 11275\n1430 13899\n10055 13497\n3126 13053\n14155 14266\n4494 11598\n6727 14090\n1620 14040\n695 831\n4663 11082\n10224 10490\n10347 11451\n3223 13668\n5599 9454\n5918 6298\n10205 12253\n11868 15201\n7526 9805\n4422 11248\n2162 8817\n3954 12490\n11868 11989\n3591 13757\n5525 14479\n1848 6524\n2648 11863\n3444 15224\n1254 14008\n6857 13068\n7713 9086\n2595 11760\n5039 14111\n3813 14657\n5298 10193\n144 6721\n13 14796\n2330 13831\n9817 11605\n8863 9649\n1535 10364\n1202 7198\n11330 14425\n3591 4557\n5828 6454\n7968 9001\n1240 9147\n3795 13391\n5035 9157\n3006 10674\n11099 14934\n5126 8855\n460 5038\n10790 14986\n282 12521\n6461 10827\n6855 13066\n6471 13416\n815 4942\n5386 9829\n6166 12242\n1804 12389\n2965 13064\n6150 12987\n1239 1880\n4281 10759\n4203 7320\n11041 14582\n4238 12278\n8371 12390\n320 13705\n2902 15021\n7344 10486\n10644 11795\n1661 12499\n4580 8426\n5560 11602\n9711 10036\n11860 11951\n9927 14199\n9386 9997\n8230 9025\n1697 6300\n9096 9687\n8873 15143\n7423 10200\n2817 4382\n7009 11522\n1843 3025\n1324 12066\n7922 12446\n2906 10369\n5346 11978\n10797 14610\n10477 14367\n1004 2915\n11376 13283\n4621 8632\n13116 13824\n1441 11372\n983 13066\n12284 14498\n4462 13101\n42 774\n1561 7199\n7756 11684\n3249 14377\n6624 11383\n8471 9753\n4407 14968\n1637 14677\n7402 11837\n1957 8573\n6327 6402\n2866 9752\n11943 12939\n2744 7655\n2265 7457\n4233 8781\n2565 3300\n214 5662\n12258 12911\n12987 14603\n2847 3175\n2776 3096\n2878 3242\n3623 6345\n880 6401\n11755 12519\n3461 4836\n11898 13328\n6221 12929\n7923 14725\n1040 6392\n3498 11555\n6986 13609\n8315 13983\n5070 14605\n9387 11035\n14315 14554\n8790 12208\n8068 9341\n817 12954\n6215 6284\n9874 11245\n1663 2055\n317 2316\n1322 5317\n541 14452\n1435 15101\n6839 14979\n5916 9243\n3158 8368\n5426 11225\n1756 6412\n2092 7692\n13016 13690\n1772 5113\n6190 10449\n8895 12952\n7825 13211\n5506 14869\n8713 13557\n2827 13541\n1000 9418\n7543 14180\n2634 13272\n7079 7303\n3543 7546\n11252 14016\n8394 9088\n2394 9019\n10276 10549\n6446 9138\n7622 9273\n1688 4656\n8110 13477\n7970 11597\n7417 8866\n3116 7321\n1432 5831\n6772 14443\n10625 14040\n2557 10108\n10867 11338\n6652 12876\n1757 14397\n5924 6488\n7152 11128\n5724 12926\n8792 13273\n5605 7591\n3939 7636\n5696 7620\n2127 7244\n13530 14561\n3961 11176\n2625 12950\n2291 3558\n2835 5976\n1163 3780\n3162 9866\n4525 11252\n3228 4858\n3729 3881\n5751 8071\n11646 15178\n3809 7909\n7648 12126\n11434 11622\n5796 9940\n13642 13874\n11503 15023\n6341 15045\n3769 9172\n3505 14095\n4015 12456\n4254 12864\n9314 9460\n7567 14129\n1431 4293\n2254 12858\n290 5789\n820 8131\n397 2085\n2201 9297\n3220 10680\n5133 10774\n7896 15189\n9431 9568\n1378 14705\n2122 13225\n2167 9624\n2797 13107\n10381 10474\n6269 7543\n611 12189\n12944 15102\n3322 13106\n3468 7341\n11303 14286\n4387 14199\n4261 8800\n3419 13419\n13424 14391\n1201 15161\n230 14320\n11620 14459\n1524 13152\n5992 12025\n2334 6041\n4517 5678\n2260 11901\n8423 14334\n3602 5371\n13310 13497\n2020 9594\n6163 8258\n10120 14744\n8714 9032\n3650 8198\n5343 14558\n3788 8213\n9041 10244\n8227 8599\n6127 14347\n11338 13748\n5336 11389\n11277 14111\n1860 14570\n4040 7059\n213 333\n2942 13675\n1175 11407\n7125 14589\n7935 13701\n5951 11490\n802 7073\n9631 12803\n2451 12562\n1982 11736\n322 12166\n2490 8955\n11054 14029\n7283 9369\n2342 6385\n1303 2605\n2756 5735\n1108 7784\n10221 11058\n211 7258\n3773 3791\n7020 14434\n1550 2112\n5943 9710\n3477 5683\n9361 14991\n2976 12627\n8600 12188\n3415 10016\n8864 12207\n2492 2747\n6794 14558\n11789 12673\n1285 6794\n7296 13538\n8865 10438\n4097 10946\n10901 11018\n3834 10802\n4919 9780\n951 8154\n2849 4675\n740 12527\n8869 14060\n11508 14230\n6611 9242\n7586 12531\n1192 9271\n1830 3157\n11042 12154\n6666 13252\n1688 9519\n2116 4142\n4267 5736\n9465 11556\n4437 13685\n1788 10539\n6346 6711\n3055 3452\n12871 13044\n4681 5093\n6211 13498\n2648 6186\n3175 14581\n11002 14687\n5983 9264\n5371 12452\n2269 10614\n4296 14852\n6649 11867\n4596 11202\n1141 13123\n8285 15141\n3838 11113\n8029 8640\n595 957\n709 7234\n1632 10278\n4351 4578\n3960 4206\n2932 14038\n6055 7033\n5365 8775\n5753 10747\n2464 9294\n9061 14984\n343 11248\n769 7028\n3983 14302\n4288 10371\n3366 10229\n1823 3755\n946 13102\n3364 3940\n8331 12676\n8867 13969\n6975 10237\n7394 8008\n1417 11792\n7168 10685\n406 14956\n3569 10723\n1854 3011\n3975 13403\n6512 11482\n12871 13344\n5311 14686\n4886 13747\n8643 8806\n1765 1982\n5386 11010\n193 9081\n5772 10444\n2268 14908\n2491 7638\n4252 6185\n1253 12802\n6862 11239\n2119 6752\n11348 12187\n3995 11580\n677 12673\n6327 10386\n12607 12945\n1727 7157\n12321 13114\n4873 10242\n8670 14907\n10900 11900\n1086 13524\n3774 12210\n2818 10588\n1468 9725\n5801 11209\n3131 7313\n12154 12788\n2721 11714\n2647 5743\n4990 6487\n14017 14610\n8071 13530\n6759 6962\n8827 13712\n13724 13757\n6924 7087\n1118 5622\n945 9074\n11088 13721\n8277 8603\n3402 10529\n4267 5456\n2200 8123\n4740 10627\n999 12111\n1414 9028\n2435 8583\n2831 14520\n11453 13842\n5350 11338\n231 6604\n6606 14583\n2129 13139\n3964 13147\n2892 11730\n4727 11524\n694 7671\n5034 13404\n491 8984\n4224 6596\n3771 14800\n1216 1567\n10323 10981\n2170 13331\n12355 14839\n9180 12522\n636 10535\n4556 5572\n1054 3475\n10618 11223\n1260 3725\n7841 7938\n4902 11327\n8349 13356\n9695 10462\n6399 10052\n10939 12828\n10603 12923\n185 4959\n11889 12149\n9012 15147\n7553 12986\n5124 13228\n840 14484\n481 9587\n1071 6742\n6200 6693\n2810 6744\n3113 10750\n5758 13474\n4858 11703\n5183 6120\n10476 10930\n1527 12935\n11796 13392\n1910 14009\n2834 7141\n10956 12845\n140 13288\n10737 13302\n1709 4738\n10223 13701\n10997 14431\n5274 9562\n4251 4598\n10849 13342\n153 11271\n9196 9704\n2875 7986\n14091 14786\n1664 2007\n5571 7054\n143 11680\n3582 8900\n9298 11967\n12435 14529\n382 10682\n7223 14934\n4146 11314\n10920 14131\n715 11063\n2602 3960\n9730 12463\n10553 11257\n7380 10849\n720 9932\n9614 11464\n8533 11704\n695 11333\n2062 6038\n14829 14850\n10898 13935\n9130 11536\n8238 13185\n6856 7398\n3091 6899\n8948 11900\n6360 10964\n784 15082\n145 3535\n1984 2457\n12370 15160\n2683 13666\n2790 7241\n4372 5944\n7099 7208\n387 2438\n4307 13102\n8328 14077\n6353 7415\n6906 10421\n83 6489\n329 6363\n1835 5719\n5046 15022\n8279 8936\n5329 14929\n7483 14809\n3371 9968\n4748 5163\n2583 13085\n11996 13351\n6031 8347\n7726 13537\n9052 12249\n3405 11706\n10145 13602\n2402 2837\n329 6397\n11270 11997\n635 15081\n3548 13102\n6618 13469\n1394 12786\n3699 7069\n7171 14549\n5131 7242\n874 3869\n5476 9480\n4738 13572\n6345 7760\n3422 7677\n1818 10328\n2469 7267\n1430 1846\n3802 7323\n7733 8647\n1920 9118\n3401 11036\n949 1158\n210 12274\n9503 11133\n12888 14426\n7113 9462\n2431 6086\n7471 9037\n170 5470\n3282 11887\n3091 14660\n9652 11265\n8225 9170\n4554 11288\n4724 11202\n1462 12180\n13426 14665\n7085 13803\n231 11960\n11620 11710\n3946 10654\n133 11995\n941 13000\n3205 7302\n4712 11795\n1126 14375\n13048 13364\n3740 5943\n9837 12245\n169 8277\n6746 7786\n2201 4171\n5869 7260\n2913 14101\n9662 12555\n5402 9130\n2058 13613\n3449 9082\n22 8379\n2089 10548\n96 12205\n1542 9300\n5666 10234\n6075 13162\n7983 13575\n235 6662\n3773 9686\n6705 7176\n1602 11733\n6453 13810\n830 4176\n6980 8321\n8985 12064\n246 13544\n4202 9395\n8745 13933\n6044 6356\n313 2849\n7184 13865\n1873 12807\n3094 4715\n3928 4814\n10455 11780\n9824 14339\n5676 11297\n5780 13351\n3708 9216\n11864 13954\n140 9083\n7899 12495\n8518 12759\n8121 10797\n292 13867\n2504 4704\n4311 11131\n5735 8247\n2554 4519\n7744 13915\n9359 14501\n5351 14607\n8176 14627\n7741 12909\n1923 15122\n4068 7153\n13623 14840\n1687 10228\n1902 8155\n13954 15143\n11102 11640\n2639 3594\n14785 14908\n7118 15107\n4895 11611\n10487 13638\n1994 7717\n9018 12911\n11617 11977\n1413 1640\n5026 9782\n6588 10640\n2224 3058\n1286 4911\n7098 14143\n6856 10102\n11374 13025\n8789 11673\n10234 14675\n4912 5002\n7791 11726\n2894 8930\n5193 14809\n12205 14818\n3517 11059\n3455 6477\n907 7922\n5134 11011\n4836 5076\n4278 9662\n5028 5371\n5672 13705\n376 8775\n2228 14010\n1408 8733\n7903 9533\n6526 12361\n2213 8575\n1500 8779\n9604 13534\n480 488\n12347 14522\n3192 3904\n5047 11100\n14406 15097\n4125 4423\n7792 9375\n6548 13254\n9929 12266\n2777 7752\n3207 9699\n8096 14053\n4449 12171\n8619 9868\n3141 5530\n7668 8040\n625 12802\n3503 11182\n12976 14043\n8127 15162\n1960 5808\n7146 10240\n4402 5321\n315 12356\n5070 7056\n47 13710\n1079 4377\n7510 11372\n8346 13150\n352 1373\n3532 10454\n3804 15263\n3694 7531\n1237 3239\n4589 12561\n1901 13735\n8428 10599\n406 9837\n1157 10107\n4106 6508\n1650 13700\n349 7175\n6259 13287\n6566 6982\n4693 5219\n4517 15269\n7135 8022\n8602 10059\n6668 9538\n4646 8535\n1929 7527\n357 13209\n2106 11816\n8298 8511\n782 5377\n1803 12170\n1128 3614\n10908 15011\n7422 13020\n7259 8614\n6960 10401\n13487 14981\n1268 10217\n3117 10860\n1101 11022\n4463 11747\n2081 5367\n10027 12401\n170 3824\n8841 14010\n8658 11550\n10008 14283\n836 7785\n2690 7641\n1735 4805\n621 12766\n213 329\n12282 15198\n8272 9591\n2174 13530\n3353 14649\n4965 5641\n3182 5430\n3604 13734\n6380 12272\n7458 11622\n4139 15200\n2204 9862\n5054 5186\n4352 6276\n5221 11928\n112 8705\n2241 8499\n481 15229\n9389 13916\n4262 5210\n6115 7234\n3686 8104\n1292 6535\n6457 14497\n2759 8397\n2363 3842\n5674 11060\n7395 13002\n5870 14623\n167 2119\n10883 12708\n239 446\n3088 14311\n11238 14594\n2851 6490\n236 2740\n1723 12680\n11908 12574\n6321 13843\n3419 7211\n9628 10328\n3539 8258\n14094 14119\n5376 14967\n11988 15294\n5191 10720\n4999 6849\n12679 14246\n2583 13805\n11036 12056\n621 5996\n617 2819\n12362 14548\n6990 10821\n945 13727\n3721 3948\n2098 14658\n5175 8822\n5775 9608\n12947 14345\n293 13782\n6266 9483\n1534 14823\n10333 11233\n7371 12635\n8792 14372\n1170 12564\n3468 11303\n7933 12031\n281 14919\n5146 13781\n4249 7684\n6982 8371\n6512 9326\n6202 15055\n6401 9919\n1110 3344\n3286 6620\n1288 8053\n3734 12703\n6030 9997\n8192 8504\n5398 14361\n12141 15021\n87 3528\n6258 10934\n1230 3724\n6752 7096\n3801 12634\n12483 14434\n2308 8423\n782 11728\n4010 12533\n8569 11792\n13140 13844\n3732 14430\n644 12814\n2684 12229\n2643 11389\n7262 7635\n9560 13568\n5543 14158\n6162 10449\n3396 5982\n7725 9679\n3382 12440\n279 8557\n10385 10457\n2037 6101\n5813 9338\n9434 9685\n8686 10406\n10980 11584\n572 5562\n1569 9475\n7908 9455\n5235 12055\n830 7394\n12029 14210\n11467 12761\n5358 8235\n5596 6984\n7952 14739\n5713 7915\n3216 12587\n1570 2476\n2337 11771\n2181 4847\n857 13274\n7302 7910\n10983 13354\n7436 15141\n6573 7545\n1112 12299\n10756 11770\n860 3374\n2908 15099\n822 3707\n7265 14745\n713 15118\n7345 11669\n2752 9931\n8365 11113\n4709 12637\n4596 5583\n4039 10819\n2445 9248\n8706 11843\n11204 15241\n4786 12986\n527 4684\n8320 12764\n13976 14505\n3123 8030\n9481 11089\n1508 14882\n2238 11961\n4102 6745\n461 7269\n11117 12076\n3097 5576\n1297 4608\n534 12931\n10056 13740\n5458 13264\n716 1753\n1501 8094\n2585 14796\n258 6509\n3563 13991\n1841 13266\n1409 1693\n6959 13280\n4024 6400\n9428 9727\n4395 6923\n3750 10684\n240 810\n925 1350\n2351 3552\n6937 14756\n7171 9930\n7587 10983\n9526 10563\n4656 14499\n10982 13837\n11702 12385\n6811 8394\n2941 11862\n11047 11202\n10673 14357\n10503 14424\n9731 12478\n8061 8819\n6154 8304\n1196 13046\n8607 8714\n7382 14173\n3556 4584\n4982 12699\n3222 9249\n887 11173\n2594 9583\n551 4658\n5387 7332\n82 2074\n103 6078\n5918 8065\n9331 10717\n5250 8338\n11154 12461\n10613 13094\n5822 12316\n690 2581\n1102 9399\n6103 14704\n10007 13249\n406 1542\n7838 10248\n2693 12001\n175 11292\n6104 12254\n10097 11272\n1311 5749\n3148 7222\n3495 10747\n9670 12002\n6770 14201\n8666 12512\n7090 12055\n8416 14248\n7514 8586\n513 12201\n417 11847\n11049 11097\n2047 6348\n6486 12481\n7576 14456\n4345 4741\n1509 6916\n7616 13624\n10853 12632\n7384 13809\n10032 15201\n5559 7485\n10953 11442\n3826 11465\n6411 9240\n9543 12088\n1865 13405\n3046 9764\n2880 9387\n1441 3078\n10631 13938\n1192 6892\n667 8863\n4306 8740\n5837 14043\n10542 11101\n2482 13509\n1725 14547\n2550 2693\n2376 13350\n1417 14932\n1411 14362\n6154 9463\n9022 12875\n12585 13385\n5836 7493\n1244 7898\n3665 14703\n9506 12298\n3776 15150\n3586 7304\n5210 12638\n1647 10188\n10772 10976\n1785 14170\n1758 2161\n1955 4472\n1953 6574\n3319 8128\n2758 4817\n1673 6066\n1529 12056\n3113 7693\n4055 9254\n4351 10796\n4817 13324\n5537 9250\n6668 10908\n11071 14615\n14421 14489\n591 12707\n6853 13891\n10873 11245\n1386 5589\n5776 8117\n5195 5949\n276 3602\n2998 8600\n2946 10171\n3219 13242\n5528 6323\n3602 7937\n9958 14927\n4555 7789\n1916 9921\n12305 14216\n470 7345\n1225 2648\n3431 13632\n6800 7986\n4992 5561\n785 10865\n4105 11484\n2112 9840\n6871 8185\n1127 12752\n9259 12418\n2593 12160\n6097 12735\n4583 5475\n8785 10225\n990 13016\n9462 10327\n8394 12554\n2733 10406\n1464 15246\n2572 9130\n537 11512\n1513 6593\n10090 10907\n7688 12091\n552 4023\n6516 11112\n9065 11350\n3939 7783\n2939 14798\n9423 10519\n787 791\n10677 10754\n6093 11165\n9079 11058\n4283 13393\n2300 5353\n6641 8968\n4568 5335\n4094 8807\n8800 13152\n8829 11157\n1212 8410\n6557 14989\n5037 6697\n3656 5364\n2206 13299\n3391 6213\n6063 6084\n666 4590\n5994 7402\n1638 14366\n12198 14044\n7397 14828\n7558 9364\n7595 9855\n2977 8509\n4666 9434\n9064 11758\n6545 11787\n5977 12612\n577 855\n8359 14016\n10951 11934\n4981 10054\n1360 13280\n5172 6601\n3964 13673\n3150 10742\n923 3933\n7947 13179\n7827 14756\n1588 4431\n950 3254\n4089 4427\n12279 12710\n2845 7155\n4342 11181\n6443 8224\n1216 6251\n5357 12516\n3818 15215\n1143 10570\n6543 8054\n11691 12021\n13183 14880\n2689 8301\n6303 13773\n516 12865\n7371 9528\n939 7271\n4818 6431\n5603 11146\n679 4104\n8951 12783\n13039 14333\n9443 14391\n2198 11407\n1802 6303\n1361 2661\n1988 9530\n218 13159\n1456 2136\n8135 15218\n12147 13359\n4175 8554\n655 10259\n11056 14307\n513 11112\n985 5861\n1646 4948\n8902 11349\n3588 5793\n213 4707\n9509 10066\n3097 7359\n12090 14642\n640 8863\n40 8160\n6670 9789\n666 5728\n778 5086\n5593 9003\n11880 14002\n5277 10036\n2775 7387\n405 6941\n5555 6995\n1065 3101\n1028 10432\n6086 14343\n6782 8296\n1321 14155\n5748 13156\n7614 13606\n8237 11731\n2685 7731\n4488 7911\n14073 14528\n3660 11311\n131 15211\n1115 11600\n5257 13047\n3977 6944\n9908 10873\n208 470\n1596 3500\n6441 11715\n6482 10211\n8320 10011\n8729 10702\n3782 5852\n6189 11436\n6361 10703\n5624 9447\n3399 6232\n7155 13619\n9220 12278\n8647 10885\n4834 12540\n7175 10583\n6551 8612\n1031 4756\n4227 11917\n25 8677\n2049 4175\n529 15290\n9819 15165\n1217 5992\n2389 5423\n139 3945\n2773 7518\n1205 11596\n4258 8801\n12317 12418\n7697 12742\n5439 9689\n5688 13693\n12946 15270\n10938 11036\n10026 14328\n9055 9076\n7105 10917\n3335 11954\n1139 14753\n938 8051\n2264 4481\n12616 12640\n753 11415\n1855 7688\n7620 10426\n6270 8729\n13521 15117\n13294 14709\n3059 6874\n3259 5651\n5589 11829\n923 5904\n6652 12709\n8731 9704\n8601 10970\n1656 4357\n12634 13210\n2815 4573\n5680 11706\n4968 6286\n1300 12757\n3336 12292\n1270 6567\n5631 11945\n2697 7697\n6959 13713\n5665 11199\n887 4406\n6949 8887\n5960 12732\n4784 6790\n5308 6151\n6803 9681\n8161 10491\n2555 5456\n1084 9717\n5622 9028\n5019 14878\n2694 3531\n4559 12096\n3872 12099\n2595 5038\n13026 14424\n1795 11078\n1101 10120\n6224 9724\n3798 15096\n2194 12249\n10767 11664\n9493 11362\n4149 10464\n8679 10606\n5160 14079\n1774 9431\n1028 5403\n237 10528\n12195 13246\n10649 12454\n4898 10269\n1441 12265\n5930 12988\n1185 8245\n11012 13146\n10047 12279\n1635 14623\n2964 5788\n7833 8001\n4574 12624\n4640 9233\n5745 13573\n1904 2805\n7057 11026\n10327 14354\n2189 8882\n14295 15034\n2611 10272\n7807 11899\n6586 11534\n7199 8129\n5332 11129\n4687 4724\n7892 9478\n4280 11508\n7394 8789\n1873 12361\n2966 6563\n10822 11703\n681 9647\n9403 10235\n4059 15051\n7223 10873\n2065 7851\n9073 12439\n660 12576\n13979 14427\n872 4611\n9441 13517\n8371 10829\n2671 10072\n4456 10964\n3908 5218\n11296 13886\n876 12377\n3034 9395\n4224 7762\n7368 11082\n1606 2146\n1276 4946\n9845 10725\n6581 7508\n5414 9079\n5296 14462\n75 6025\n6385 14116\n1390 10919\n3784 5248\n1979 14402\n4291 14821\n1169 3377\n77 4082\n1660 11990\n2667 4952\n2864 4977\n1091 6302\n874 8660\n2610 12225\n9070 10621\n9987 10768\n1909 8364\n11064 12944\n240 4253\n51 808\n3377 10271\n1403 13129\n4836 11585\n5535 11232\n1867 7390\n3264 7793\n4672 12305\n5704 10719\n1976 5631\n13372 14488\n1875 2199\n9155 14746\n9923 10579\n614 12883\n3551 9209\n846 9313\n1942 15026\n370 4151\n6200 7797\n1192 5253\n9486 10388\n660 3885\n7025 13677\n1423 4681\n4538 7655\n3753 6234\n5873 14941\n6636 8301\n10133 12166\n9254 14462\n3168 6511\n3991 11673\n2052 7017\n11006 11928\n3214 4580\n2166 6167\n11354 12405\n5049 12152\n4557 10767\n5054 6123\n1726 4214\n2833 7678\n9902 11359\n4448 10611\n513 6214\n5840 10372\n3250 4393\n2822 12126\n12027 14626\n6747 7993\n8064 11638\n7941 13561\n13638 14749\n6165 14490\n962 7828\n1484 1607\n9168 12748\n834 10830\n6994 9248\n9940 10294\n4171 15028\n1392 2037\n6317 10121\n2837 12107\n86 9123\n23 10076\n4599 10799\n9156 10590\n1486 3289\n3384 15157\n3130 3174\n3873 5742\n5437 8587\n5681 5805\n2657 9609\n4595 11580\n5268 9179\n2070 8841\n3853 13359\n4433 10930\n15188 15261\n408 2625\n832 11222\n2450 9977\n3036 12877\n3267 7889\n326 11380\n661 11557\n3908 7920\n4589 13713\n11950 14992\n2172 3948\n308 507\n415 14168\n936 2680\n8412 11663\n12211 13279\n6930 10129\n11729 13133\n7464 12551\n3540 6181\n7252 7632\n1755 14972\n4667 12407\n4280 12758\n8486 14692\n5875 13152\n5252 10880\n13762 13824\n1831 4240\n8501 14926\n8223 11467\n5721 15300\n1486 12877\n2049 10281\n1484 5425\n3332 5307\n6798 14086\n5529 14940\n9174 10165\n11341 12695\n9361 12080\n11417 12912\n769 4840\n9211 14067\n4842 9762\n5899 12972\n3521 6144\n3276 11512\n6435 11937\n5757 7310\n6048 8430\n10846 11774\n10391 12499\n7854 9477\n202 1955\n10563 13396\n7794 12009\n10329 13585\n1008 3375\n3341 7039\n3955 10958\n1614 8790\n1183 7992\n1588 7008\n4298 6575\n4982 10092\n9514 12324\n5904 11481\n1922 2898\n9429 12010\n5352 11437\n4217 11096\n5641 11173\n7088 15042\n11510 12345\n10739 13598\n2499 10603\n10604 14905\n2981 14300\n4785 10364\n1472 14282\n9277 13706\n7140 11496\n741 14247\n2207 8649\n2038 9604\n5707 7090\n16 9758\n288 13681\n12040 13675\n10437 10777\n1079 6775\n9423 12392\n13265 14647\n9274 10004\n8206 8834\n12321 13645\n3431 6061\n324 9941\n8309 13661\n7030 8079\n13555 15003\n8184 9646\n1681 14019\n6654 15059\n615 4350\n1335 5898\n3803 4437\n7907 8063\n3290 14935\n4022 7180\n501 9502\n435 11158\n1473 10760\n6363 15036\n8647 14158\n3009 11992\n6678 13295\n5635 11181\n177 12306\n1523 8317\n365 10194\n2258 14934\n6392 12930\n5469 8373\n9036 13424\n6206 14792\n760 4379\n8026 13262\n10863 11601\n5621 14649\n4318 9962\n4895 6943\n12207 12849\n7967 8878\n2086 14422\n4188 13016\n11881 14436\n12919 13114\n8340 12474\n1023 2862\n11018 11978\n813 2192\n591 13486\n6464 14618\n5262 5825\n8458 9467\n1474 8139\n1287 13721\n1480 5674\n7152 7872\n806 3881\n4860 5994\n10704 14614\n972 2038\n6586 9372\n6155 9723\n11414 13798\n2847 8388\n2177 7726\n4061 14061\n7812 8567\n8050 11822\n4406 8653\n496 4246\n176 7592\n11867 15203\n841 5674\n7817 10573\n5583 8112\n7155 10968\n4010 8742\n12082 13377\n1352 9365\n3218 4133\n154 14748\n3296 11315\n1171 5375\n1911 3266\n8838 10625\n2415 5305\n8713 9142\n7331 10373\n1821 3110\n3108 9425\n9754 9844\n4555 7854\n6505 8496\n5254 14191\n2350 10980\n4409 7827\n1454 12604\n10306 13339\n7341 15299\n7011 7773\n583 13727\n79 14255\n3192 3429\n8035 8386\n6144 14792\n3317 3961\n4155 10171\n10433 11646\n648 2610\n9818 11038\n12828 14015\n3440 5021\n2037 7314\n7678 14420\n5422 8593\n5083 6143\n9655 10750\n896 5675\n4286 7712\n6339 10113\n1302 14536\n132 8040\n702 4644\n1058 6538\n7427 8811\n552 5744\n9810 11741\n3206 10216\n2464 4564\n3091 10330\n1707 14420\n13292 13830\n5303 12011\n2072 13777\n993 13315\n12252 14534\n6673 9816\n3142 6108\n1022 5952\n10791 12821\n11392 13370\n11251 11610\n9954 11769\n3726 6473\n3138 15144\n8118 12408\n720 8520\n925 12175\n2795 7044\n3744 9531\n1823 10462\n46 7773\n11725 13636\n6420 14870\n2244 10808\n11114 13697\n2747 13859\n7678 7863\n2941 12825\n3010 10033\n3652 8693\n677 5338\n8046 13753\n5129 6177\n5247 8970\n2402 14271\n6483 13380\n8662 8925\n1129 7051\n5720 6249\n10086 12598\n3060 10785\n3683 12315\n9750 13927\n7131 9568\n3665 11187\n3469 11519\n5102 14156\n3491 10328\n1995 12932\n11755 13651\n621 12394\n2543 4872\n7443 10732\n5004 11890\n3542 14443\n5543 12400\n445 1666\n4709 10331\n3628 14446\n90 8364\n947 8538\n1535 2772\n1857 2878\n1537 7172\n3693 8591\n1680 8307\n13639 14284\n284 1180\n9141 14417\n7385 14084\n3636 15091\n4492 6442\n7046 12574\n5506 13597\n1514 6091\n765 864\n14417 14453\n4235 14863\n3351 4332\n9389 10584\n1432 9503\n5328 14087\n911 2132\n2424 5503\n1813 3923\n950 10425\n3259 11805\n5361 8546\n4433 11800\n7262 9158\n1551 4991\n1441 2722\n7564 10515\n1528 11872\n11825 14998\n2870 9028\n12411 14745\n2006 2438\n3105 10766\n1624 6432\n2417 12708\n4824 9102\n2570 11457\n3216 12695\n1730 3997\n11433 12930\n24 7584\n882 8108\n4341 13014\n2650 9072\n8319 8416\n4348 10211\n7056 12641\n8796 12168\n14869 14996\n7073 7924\n4071 9255\n8516 9084\n5848 12881\n9778 11273\n8488 14294\n585 7146\n8924 12712\n8294 9502\n7374 14899\n506 13940\n6579 10136\n9477 12691\n1773 7137\n6768 9170\n620 10082\n8092 9123\n4084 13315\n912 13177\n5283 8173\n3694 4987\n3571 5694\n5832 9978\n5602 12172\n6073 9386\n8489 14695\n10092 15026\n10912 13318\n4163 10669\n2771 14309\n760 9064\n9830 14946\n6829 8167\n347 3844\n332 12410\n510 1531\n4477 12210\n7643 9800\n2266 6175\n7646 12733\n2057 4146\n6883 11325\n6221 8193\n1728 2899\n4116 10865\n1441 11517\n2977 13760\n4719 13559\n10297 11485\n2090 7489\n419 7264\n9426 14745\n11740 12719\n2072 8323\n1118 9825\n12992 13935\n154 2432\n1049 15259\n10741 15027\n8043 10195\n2025 6908\n11893 14926\n12566 13690\n1929 2650\n5181 11916\n8650 12406\n11054 11857\n7250 11960\n396 11214\n11098 14231\n924 1905\n4554 8983\n9859 10413\n4949 12130\n4987 11268\n2655 5518\n1955 13094\n12910 15207\n7229 12495\n4372 9412\n4754 7133\n272 8269\n238 2091\n7375 12485\n6733 11239\n9893 11422\n1772 14961\n5620 10354\n1514 14301\n5411 12740\n2761 8334\n2263 9507\n267 10186\n3558 8997\n3972 7290\n11550 12956\n11758 13854\n10385 10480\n2867 4073\n6272 11315\n10921 13508\n8938 9234\n6175 8625\n1537 13947\n3570 7074\n6246 10098\n5039 9246\n4818 12069\n2520 11055\n2951 9306\n4112 13294\n6096 13054\n4865 6624\n5485 14743\n10558 12950\n3470 13662\n12612 13568\n12084 13728\n1172 9082\n741 12662\n2079 14133\n824 9802\n5236 14536\n9258 12355\n3467 7420\n1275 14122\n2679 5968\n11016 14908\n3626 12286\n2466 13770\n13484 15056\n6183 10228\n1219 7027\n6874 7672\n3593 14304\n336 14252\n2748 12579\n1684 3287\n718 11598\n7798 12518\n7089 10116\n1570 13063\n4934 6495\n6791 10967\n3122 8330\n815 14936\n10423 13083\n5452 12133\n9828 14554\n3834 14939\n887 4432\n5485 13783\n9698 14044\n4091 14972\n4690 6385\n1652 3165\n5920 7130\n8824 14161\n8826 13953\n3090 12727\n1233 9777\n3000 9871\n504 14525\n2011 9439\n763 3471\n1345 5435\n10776 15198\n4328 7723\n8051 11977\n14031 14365\n846 9312\n7426 11700\n6371 8997\n826 8110\n7987 10934\n375 15262\n5841 8773\n6001 6490\n6229 6845\n4751 12212\n11730 14026\n1431 6478\n7745 10340\n686 1242\n12737 13776\n1277 12701\n923 6023\n928 9559\n6921 13115\n8173 10023\n6148 6792\n337 11300\n1501 6766\n4832 8072\n8413 13170\n1743 13092\n8656 14470\n9779 12173\n1571 7455\n12355 15237\n1477 9391\n8691 10436\n9971 11860\n15022 15125\n2989 12089\n11129 11470\n698 12141\n6833 9543\n5874 6221\n4710 6853\n9438 9894\n1424 4517\n6824 6944\n1205 4313\n2782 4739\n3458 14183\n6508 11956\n2492 4752\n7305 14513\n8610 12605\n5911 6658\n2768 6515\n3793 13613\n1857 12511\n4480 10177\n16 7638\n10417 15234\n3993 4244\n1503 2119\n4666 5300\n7003 7643\n4171 9298\n5448 13925\n5992 13466\n10429 13648\n4661 7556\n5045 14954\n24 4843\n2409 7237\n4409 5354\n12830 14922\n910 3094\n5383 15077\n4553 12526\n1339 13841\n4754 12509\n558 12330\n3320 7768\n5815 14945\n5056 6317\n3755 11663\n3325 14825\n4775 11083\n1167 6731\n13121 14244\n7693 10871\n7606 13588\n8498 15150\n5987 12741\n10238 14789\n10667 10745\n4799 14963\n11774 14167\n1713 1901\n2797 12360\n9987 12600\n6711 11036\n1250 15029\n873 2905\n4164 6218\n14354 14725\n5015 6962\n12630 13959\n7878 10914\n3720 11308\n7457 8688\n4640 10804\n1394 6923\n6149 11692\n1270 3509\n9960 13234\n927 13947\n798 5688\n969 5208\n5762 12080\n1516 8063\n129 2848\n11303 11321\n1077 13115\n6537 13260\n10316 13676\n8781 12187\n11936 14733\n1316 14306\n10130 11725\n6609 11743\n2742 8192\n1034 11178\n11018 11600\n176 6886\n857 12514\n4881 12958\n4006 5633\n556 3276\n190 9886\n12969 14829\n10001 14136\n4646 15092\n8389 10691\n1310 9471\n4958 9629\n6692 13225\n11165 11841\n2275 11249\n3816 9834\n5201 12214\n14595 14828\n8606 8712\n3222 4638\n10984 13139\n2230 15017\n4307 14645\n1378 3718\n3127 3193\n880 5113\n897 11468\n4560 7634\n9069 12510\n10302 11363\n940 6347\n650 1634\n9955 11112\n2908 10461\n3135 14667\n251 7788\n3431 9774\n1794 2721\n11321 14506\n3747 5143\n927 10402\n3950 12054\n1490 11596\n5763 15153\n2332 13162\n2319 3641\n544 8434\n2429 12565\n3847 13835\n12333 15193\n8709 12851\n7294 11050\n1064 15067\n6928 11456\n1220 13167\n7236 7319\n2758 7534\n5283 12057\n11206 14065\n394 12828\n774 2146\n1599 12255\n1366 13374\n1595 7476\n2314 12943\n7317 9168\n9439 10092\n6659 7620\n6151 9777\n6638 13781\n963 14209\n6499 8860\n11405 15085\n2110 6055\n4717 14702\n11079 14022\n7960 10728\n4508 10207\n7333 14394\n5411 7785\n9319 14249\n1229 12821\n6832 7992\n877 5712\n9210 10849\n6928 9027\n7883 9315\n6763 11209\n177 405\n2033 11105\n10998 15126\n2791 9027\n1000 12355\n4330 5312\n7476 13673\n2065 6626\n1418 8227\n9874 10534\n2894 6575\n3142 4461\n6163 6212\n1864 11318\n4851 13919\n2126 11564\n144 8031\n6900 6903\n3159 13406\n162 6834\n7823 9888\n4188 5551\n880 10488\n8508 14255\n402 7460\n13095 13732\n733 2038\n4583 8965\n4665 11111\n14089 15192\n2308 6691\n2326 3553\n4216 9669\n12389 13335\n267 5470\n2643 10714\n3490 7360\n3714 9034\n6672 8047\n11760 13543\n8280 14698\n1468 10385\n6886 10607\n800 5069\n1681 12351\n7218 7522\n2123 6974\n5412 8389\n13323 14833\n9971 14784\n7648 12530\n1666 3947\n2597 2862\n5498 11177\n51 10539\n5759 12319\n101 9328\n5514 11872\n9161 13731\n4636 10758\n750 11060\n3032 9919\n6982 12199\n10503 10664\n12652 14942\n10798 13672\n13430 13780\n9848 12473\n2884 3984\n3121 13524\n4484 7798\n4654 13370\n2978 12759\n6337 12773\n4766 14629\n4725 14796\n4429 12982\n6445 8708\n5396 12331\n7092 9766\n336 14572\n970 10612\n4010 10334\n14 14503\n1959 4059\n9188 11389\n4165 5470\n1465 14202\n8272 11367\n13684 14991\n10262 14669\n1776 6805\n4778 14892\n1576 14525\n13279 14549\n3914 13436\n630 5433\n570 12514\n3565 8913\n6290 12932\n302 5079\n3493 9030\n1046 3245\n10133 13883\n10463 13117\n7631 10988\n12254 13170\n3102 4583\n6375 12264\n2068 12479\n13275 14732\n10737 14297\n202 2201\n10456 13540\n1210 1374\n1941 2760\n292 12000\n10970 14596\n7804 11275\n2176 6082\n4151 6937\n1542 15248\n6838 8172\n1624 6961\n3005 7241\n1802 11211\n11221 13957\n674 14404\n7214 7979\n2014 13668\n6742 13300\n64 2577\n4247 11151\n649 12317\n906 9762\n2200 14390\n1212 11604\n132 8181\n12298 13186\n861 4814\n3428 4038\n2758 11252\n7818 13516\n7680 9201\n2607 12979\n4579 9152\n469 3929\n1705 4295\n144 7406\n3268 15230\n7286 9034\n10731 14369\n912 8220\n9742 13775\n8309 14145\n2658 12928\n2460 14315\n4760 12166\n12662 13196\n283 10902\n624 1952\n1838 10545\n3230 13836\n8296 12059\n4840 7652\n4656 14606\n3474 11507\n4460 10555\n2374 11369\n653 8843\n4821 12764\n1289 7436\n13706 14893\n6011 13045\n2650 15126\n8166 8783\n1969 4912\n1152 2725\n1487 2553\n1664 12998\n3115 12908\n10048 10381\n7568 14678\n4568 6259\n587 9883\n2215 8400\n4496 6805\n2604 11634\n2857 13176\n13425 13591\n6045 14156\n9767 12849\n6118 10115\n3230 9162\n7695 10901\n6380 13919\n2093 14178\n848 10017\n1481 3728\n1540 1665\n8536 12959\n4171 8798\n12045 12713\n8392 13431\n4660 9539\n2019 14599\n3848 14662\n7228 9199\n1603 4226\n3026 5911\n3236 3959\n4102 9086\n1116 1169\n2181 8957\n6275 7609\n10782 12182\n2320 13978\n6526 9735\n5039 6287\n6461 12846\n7451 11993\n10731 14259\n134 6703\n2839 10976\n8718 11008\n9822 10562\n414 13535\n3099 14930\n5635 12752\n3757 14059\n7745 13390\n3407 5997\n4875 14635\n8749 11072\n258 11317\n4405 10840\n928 6987\n7215 10695\n6868 8552\n3260 7440\n4033 10328\n11807 13320\n4542 14597\n2161 9963\n5136 8876\n11453 12905\n5271 11517\n11550 14257\n11805 14620\n11797 13336\n8649 13104\n8971 9717\n2810 6797\n1004 4295\n4905 7408\n8117 8502\n11308 11794\n1144 12285\n3188 8752\n640 3804\n278 7745\n8600 9087\n4379 13243\n13209 15184\n11834 15083\n3601 9656\n13691 13854\n1940 5110\n11801 14506\n258 12846\n12065 13454\n1869 5593\n3108 4447\n6628 9585\n2017 15036\n1243 8429\n5704 11852\n7293 12180\n6176 14074\n7570 13609\n6484 13843\n2299 10660\n404 2594\n11117 11803\n11730 15231\n2693 4262\n11005 11914\n1797 13273\n269 11989\n7818 7904\n3930 11002\n449 9534\n10201 13822\n7033 12910\n2088 13907\n2958 4674\n104 14967\n4452 12191\n1452 8805\n5311 14670\n4068 4231\n107 12138\n8086 14757\n6727 11418\n4242 11438\n7345 9298\n259 2736\n3116 9712\n5011 13201\n4855 12275\n11872 14469\n13398 13712\n7201 10847\n14542 14814\n11795 14715\n4097 7356\n10233 14249\n1755 11763\n4944 10446\n2206 6567\n3094 11526\n2106 13562\n387 6103\n1032 5671\n10306 14060\n7694 8130\n8484 12693\n4659 11460\n3748 8316\n6188 9426\n3146 11761\n899 3110\n8032 10481\n13914 14938\n2169 7234\n1032 4706\n14573 14904\n6186 9327\n1640 9887\n9514 11993\n9977 13074\n3337 3401\n3064 8353\n4009 9205\n4601 8687\n6027 12056\n2427 10546\n8689 13085\n1981 12998\n3096 5640\n1150 7883\n6678 12049\n648 3383\n3865 6792\n7568 14021\n4204 8244\n6855 11649\n324 14077\n13267 14894\n195 3922\n3394 13101\n6633 12920\n2796 13978\n5352 9293\n13884 14010\n8795 9596\n2312 8937\n1102 6280\n138 5179\n1575 12852\n3025 8334\n5220 8505\n915 6720\n6470 8826\n5320 5464\n7457 9162\n5521 11035\n13639 14924\n3887 6865\n511 1167\n954 4239\n7424 12972\n5856 9202\n4053 15254\n101 6201\n2006 14404\n2710 3282\n1222 1722\n2685 6474\n10324 12671\n285 3240\n3994 12654\n5206 7893\n2974 12158\n3739 11596\n1066 10534\n862 13930\n3432 5348\n8694 10193\n1340 7717\n133 10179\n3613 4182\n12956 15089\n2846 4400\n14644 15259\n8017 10985\n4317 7552\n8745 9427\n9842 14239\n8733 12615\n1121 4865\n5485 6804\n12202 12500\n3646 4610\n6973 9584\n7391 7588\n2829 4050\n13242 13367\n2088 9617\n5902 11689\n3981 5584\n11915 12115\n581 12270\n3187 4053\n5389 13727\n3633 13454\n8980 13466\n7519 12507\n2219 13043\n8557 11952\n2231 8487\n1647 6268\n606 4228\n13764 14280\n7063 14590\n4198 10228\n6667 9445\n2483 2747\n3006 9771\n2898 3953\n7813 8508\n1357 7353\n5796 6839\n10584 12035\n4234 5089\n4171 5087\n6221 14632\n5296 13546\n10356 15272\n7262 8841\n24 2471\n4888 9896\n1314 13822\n9740 12498\n2631 9681\n7499 7742\n7222 14075\n2068 5461\n3823 14997\n6431 6845\n12586 13326\n268 5930\n3153 3585\n7669 9216\n2210 10258\n12913 14744\n4608 12953\n4758 5254\n4915 5347\n6423 13086\n4556 14895\n6428 11871\n2620 5959\n4578 9782\n3294 10853\n815 4535\n11456 13297\n940 5050\n10148 11462\n3083 14201\n2257 4365\n6539 7189\n873 7136\n1277 13951\n4198 11368\n1140 1885\n724 8324\n10921 12478\n671 9233\n4132 6440\n1426 14709\n2411 10991\n6573 10791\n5284 9941\n561 10713\n1593 8793\n4148 4172\n5002 13877\n9208 11785\n2305 9507\n11620 13267\n8547 10436\n9100 14083\n340 2985\n6756 8822\n5776 11163\n4870 14351\n2026 8542\n12486 13599\n952 10828\n957 1398\n8117 12173\n2835 11011\n6529 13415\n708 2671\n347 7880\n9452 10604\n2531 3829\n4451 15041\n10343 11415\n7244 9476\n5918 11298\n6747 14496\n8206 9749\n4239 4963\n8147 12874\n7455 12698\n2754 11367\n4119 13059\n4047 10622\n8155 10997\n3313 5803\n6248 12728\n3860 6189\n239 10572\n5369 14719\n5571 14036\n12988 14918\n3901 11562\n1937 3837\n8861 10512\n5312 8041\n8587 9350\n302 8097\n3483 8052\n2225 4970\n905 14358\n1557 4404\n4386 7753\n7235 12946\n4109 11789\n940 14751\n10377 10948\n6160 13439\n13416 14231\n1440 5448\n10767 11110\n2817 3678\n1957 3441\n4398 8364\n1941 11612\n2009 12381\n3990 14927\n1931 4017\n2143 12360\n3741 10670\n567 14544\n526 6426\n11408 13932\n1904 2759\n9202 13635\n4815 9291\n4784 13782\n7859 12052\n7192 10691\n10315 11468\n6263 8966\n285 12040\n8025 9514\n7059 9928\n448 871\n11257 15072\n5203 8973\n9168 14364\n773 5026\n2893 4084\n3114 5105\n236 11566\n6410 14478\n6695 8525\n3961 14319\n2980 12132\n6858 12974\n1130 7593\n3004 8307\n2183 4495\n2119 7971\n11133 11523\n204 12927\n6389 11273\n4200 15125\n2468 10390\n7682 12017\n5083 12738\n4343 8604\n8255 13415\n825 6061\n7014 13139\n6287 13174\n2035 9012\n8338 9279\n5792 12164\n4604 7834\n9193 15115\n3754 3984\n7926 11090\n14625 15100\n477 3828\n2289 7214\n4605 14144\n581 3198\n13141 15230\n4803 5727\n4043 9252\n9177 14949\n2725 13123\n2253 11041\n2411 7977\n1915 11045\n5470 5688\n10537 13450\n10776 10827\n2170 10157\n764 13136\n3615 7576\n2969 8505\n9455 11221\n8631 11033\n1640 4682\n3630 6657\n2194 5070\n3368 10072\n1638 5565\n993 5279\n8500 12274\n5256 11878\n4277 7109\n11226 11508\n1021 4342\n7179 12223\n3778 4906\n5384 10638\n9610 14784\n5014 9929\n5453 10937\n4633 10642\n7809 11092\n1138 5633\n7031 7036\n11156 14857\n2877 15075\n8773 10794\n550 14544\n3966 6841\n3706 13774\n6725 11686\n4342 13358\n1860 4866\n2330 14065\n4950 8712\n6750 13431\n7845 7972\n8630 14645\n3054 9327\n2752 8105\n3370 11572\n3083 10920\n1331 11751\n3846 7906\n4680 5626\n7299 11099\n1601 3061\n11441 14996\n4546 5500\n1791 5559\n79 14316\n9640 12935\n4887 14580\n8821 10071\n10191 13692\n11119 11200\n4749 5015\n1982 4624\n6351 12224\n6151 12016\n722 1268\n5406 5738\n7687 12844\n4851 7380\n541 8272\n9567 11450\n10826 13003\n4581 12053\n9692 12493\n10439 12281\n10012 12402\n1511 1835\n7839 11058\n9659 13522\n979 12505\n2675 2981\n13428 15245\n12186 14050\n10934 15084\n7939 12465\n5396 8741\n4816 12567\n7002 10749\n6502 13719\n883 9489\n2075 6856\n7017 11736\n8249 13588\n11009 12433\n2799 11348\n4069 4151\n7253 13731\n381 3639\n5002 11916\n10799 13636\n3824 9746\n6503 6946\n4016 4370\n3497 8790\n7003 7165\n8778 9257\n3252 13648\n1058 4397\n599 13578\n6354 9926\n819 7077\n4229 13287\n9758 12452\n1742 4673\n11217 14781\n9263 11444\n14086 14973\n4468 6329\n4750 14907\n1717 13315\n4651 6717\n6500 8234\n5476 15194\n2229 9895\n8211 11889\n752 12658\n1562 5984\n6579 7091\n6397 13043\n4183 11644\n1408 14310\n10134 15179\n2635 14965\n5488 5650\n1251 8025\n10074 13334\n3459 13407\n7791 14966\n3057 6100\n7419 13237\n2384 9889\n38 12980\n5835 10489\n11 4729\n199 7134\n295 7369\n2071 13425\n10163 13742\n8610 15026\n5072 11281\n14208 14626\n3107 8636\n2111 5764\n12238 13022\n244 9992\n2019 2505\n2583 8934\n3485 6614\n10654 10885\n1989 10178\n535 1933\n3168 13326\n8562 14055\n7976 14775\n5693 6540\n9036 13590\n11355 12615\n3807 3894\n10604 13580\n6921 13476\n3095 11047\n1029 6833\n1703 13399\n1015 2335\n948 3279\n2250 7821\n8701 11406\n1588 8607\n5304 11872\n12308 12652\n3218 15298\n12324 13012\n1574 6536\n8185 9999\n6512 12246\n8614 11060\n3905 12085\n5876 8231\n6521 8915\n4844 14519\n11857 14412\n3117 7726\n7090 11110\n1233 13063\n11021 11843\n2932 11649\n4027 4986\n952 13014\n242 3448\n9638 10475\n1697 8635\n11439 11696\n9413 10812\n11681 12668\n7114 12812\n3200 9411\n2110 4307\n1195 11617\n8701 14589\n4833 11000\n5921 6150\n10337 11989\n9100 10509\n3427 4082\n7243 14946\n967 13700\n6951 11135\n9046 13978\n6224 13774\n3472 7416\n7950 12666\n1427 4146\n969 11127\n3549 12879\n3796 5946\n1489 12720\n2119 5019\n4196 10245\n8613 11516\n1776 8626\n5318 13943\n1619 6841\n5354 8688\n7726 12942\n4760 14718\n7988 11991\n6710 15055\n10449 14914\n4953 12225\n3136 12118\n915 6454\n810 13470\n1676 2958\n3356 8324\n7013 15069\n959 1190\n6918 7121\n8852 12914\n11817 15264\n9688 15145\n8111 14145\n2605 8188\n7393 9029\n9393 12625\n339 13768\n12185 14160\n7873 10294\n2703 7085\n3534 13023\n3030 10817\n5193 11584\n3030 8922\n2254 6926\n4785 11427\n7994 11170\n880 7180\n1270 6352\n242 6397\n5248 14254\n6360 9721\n4118 9133\n101 483\n5790 13585\n1859 1953\n2989 10552\n4861 10876\n8785 9159\n4946 6101\n4016 11140\n7436 11640\n6364 10109\n8722 14406\n207 9875\n6644 13110\n240 10112\n7065 8953\n5741 6799\n1410 14033\n3508 7330\n7156 13946\n1135 9852\n79 11287\n7919 9653\n1320 7321\n2539 6364\n11094 13062\n9466 9955\n7964 10418\n6013 12608\n5045 7646\n2587 3842\n6321 10126\n4756 11121\n2040 5435\n2580 7807\n534 8068\n5597 12345\n3889 6409\n4546 7706\n11711 14923\n13227 14655\n8938 10919\n1044 1343\n5900 13827\n1307 8540\n637 2356\n9073 10891\n2754 11050\n604 8101\n181 14046\n1200 8525\n8964 11312\n2019 8020\n1285 13448\n1679 7967\n1074 6430\n10363 10806\n11387 13199\n7207 11847\n7947 13651\n11760 13347\n9619 14200\n3685 8931\n2595 6389\n7383 13957\n10565 11645\n11900 12314\n5662 14906\n5857 9202\n4149 5810\n1687 1860\n12801 14260\n4429 13761\n6751 13682\n7106 10799\n3219 14199\n8725 14982\n9118 11446\n296 659\n10461 11308\n11539 12813\n9057 10299\n5942 11024\n156 11074\n2655 5517\n171 9810\n11554 14200\n6975 7863\n8727 10106\n3501 14423\n4035 7403\n10189 13524\n6330 11606\n10600 13760\n12793 15171\n3179 8153\n8021 14134\n14288 14311\n7521 11750\n6990 8778\n5089 13599\n2998 6082\n5167 9816\n10872 13755\n243 6581\n12641 14894\n4667 13604\n362 3454\n770 5830\n303 11935\n3469 9921\n4775 5166\n6743 10707\n2906 9394\n905 8694\n1467 12816\n3811 12837\n1349 15151\n756 7215\n11784 14583\n2046 2496\n5203 14811\n2563 6660\n452 11991\n3007 5214\n1424 6923\n1930 5458\n2056 7612\n3078 9830\n13046 15117\n1059 12621\n10170 13569\n10782 13428\n684 4110\n1417 14132\n2224 7466\n3259 4418\n7198 8836\n6081 7340\n300 8920\n1985 7101\n7621 10273\n12326 12540\n4910 6593\n3098 9988\n12673 14211\n3267 4529\n4973 8962\n11253 14075\n14023 14223\n8470 10210\n1127 1999\n8716 13260\n3759 6424\n5997 6135\n11120 11312\n1403 12276\n5847 14856\n1964 2621\n530 989\n5372 9029\n1324 8496\n1236 8386\n5787 7911\n9210 14812\n4042 9118\n2082 15075\n13798 14791\n6684 7359\n4616 9025\n6797 14082\n555 5244\n5833 12551\n11425 12104\n3570 14439\n1355 4310\n2774 5821\n4060 13801\n3848 8618\n6881 8074\n4661 10537\n2177 11020\n4473 14771\n9292 9333\n7388 14257\n761 7949\n3933 14165\n3011 15018\n11024 12815\n3227 14281\n3109 6756\n8424 14315\n5747 7859\n1513 13504\n5312 7648\n2129 11029\n2087 7351\n5909 11032\n3877 8785\n3553 8165\n3930 6598\n1659 8437\n4728 14758\n7252 15081\n2224 7399\n2055 10976\n5241 12005\n4446 5895\n4198 7841\n12622 13680\n8291 11886\n108 2461\n4215 4610\n511 3796\n13165 13808\n2963 7825\n10986 14740\n2209 11750\n5503 13428\n8004 10237\n729 8328\n6881 14835\n1911 3114\n12825 15096\n12933 13685\n4102 14985\n5338 6359\n1600 5554\n9393 9849\n232 14171\n852 9006\n4154 14000\n11800 14441\n663 13163\n7318 10828\n437 2641\n5755 13888\n1792 4896\n2076 2276\n229 2026\n9150 10743\n13364 13724\n13226 15281\n3100 5850\n4899 13987\n6365 13843\n7642 13397\n642 8071\n2108 14382\n9799 14286\n418 15230\n5145 6807\n6768 8612\n642 11649\n4158 15218\n2464 10289\n4750 12279\n4654 11384\n8721 12267\n3030 15103\n4420 13447\n4334 6701\n3565 3920\n2356 11688\n1203 4057\n3854 14408\n8688 8880\n3878 4275\n2377 5969\n3775 11676\n9128 12705\n13438 13801\n3070 4751\n1169 13535\n5096 14850\n8501 11314\n1407 3273\n6690 11410\n8758 9521\n3910 11925\n4749 9555\n10526 12889\n1085 5333\n12707 15224\n2246 8479\n4806 14683\n7421 7648\n7676 15118\n7787 9012\n2581 9130\n1872 12969\n7236 11880\n3414 11664\n3821 7465\n8649 9461\n669 14292\n3852 9148\n8534 10157\n7130 9142\n739 11801\n3067 5990\n1946 10956\n2969 4860\n5446 9431\n11592 15207\n871 12498\n8649 9691\n2244 9915\n3783 5586\n3338 9838\n13382 13482\n4776 8027\n5884 9669\n12882 13563\n4170 4476\n2331 14839\n9012 11189\n4620 14240\n3884 13068\n14998 15304\n8297 12702\n1718 14405\n3969 5680\n5190 15224\n5209 13619\n3160 3598\n2377 10773\n1411 8704\n1737 5765\n6735 9713\n2367 5533\n6364 8902\n1785 11225\n3539 10164\n794 3331\n9281 12344\n3947 11552\n6046 8303\n5321 10063\n7039 11426\n5024 14800\n8505 9836\n4097 14146\n8225 12182\n2230 6551\n3024 14747\n6255 9327\n2496 4842\n2378 11732\n11483 13752\n2831 4811\n5445 6293\n1113 12105\n8416 15194\n3929 9802\n893 6665\n4068 8036\n4090 10787\n498 6662\n10127 13004\n6503 11428\n6381 9462\n5816 7700\n1739 4912\n658 8023\n3548 5950\n5791 9164\n434 11770\n629 10013\n5817 10792\n2653 8714\n7922 13488\n3588 11534\n8826 10968\n1692 6034\n5723 5918\n6349 14583\n5436 15248\n2131 3730\n8375 10211\n9999 12521\n2375 3197\n3723 14627\n6072 9400\n431 12283\n8176 12945\n1100 14385\n8481 10977\n7182 11097\n2575 7295\n2887 3522\n1067 1221\n9877 13638\n359 1678\n915 2062\n208 1411\n13931 14165\n5267 10821\n5572 9514\n26 1059\n8376 14224\n481 6245\n12555 13965\n1225 11669\n1279 6558\n3303 12590\n5681 11810\n6407 7807\n1897 15089\n9568 12799\n8455 12189\n12 7877\n1382 14578\n7615 8953\n8492 11811\n11542 15119\n8752 14263\n134 4431\n1222 3498\n5603 6984\n7476 9561\n2775 6066\n5492 6715\n12901 14960\n5207 6637\n4842 15253\n1246 11248\n796 12270\n5614 12007\n9904 11521\n8264 12123\n12240 12424\n8532 10421\n6085 7489\n6359 10983\n5409 14114\n597 1148\n8365 14748\n3822 5941\n4171 12231\n7095 12826\n10297 14081\n8887 13162\n8 1890\n2355 10516\n3044 3588\n12516 13595\n3117 3934\n5992 6115\n2725 12849\n2008 12401\n1377 12289\n12745 15134\n4731 6958\n9364 9662\n2195 6853\n6790 10331\n9281 9945\n3624 7468\n10000 14723\n9655 10941\n3362 12341\n5044 9026\n7262 13805\n5878 8518\n6173 6966\n6395 12214\n3738 4964\n639 10309\n3703 14441\n7175 12475\n5888 13027\n5994 10466\n2094 14720\n12381 14145\n6760 14412\n9094 13446\n12496 13251\n9249 10718\n4315 8556\n2069 7087\n9117 11538\n3946 12564\n14160 14819\n9008 13818\n7165 11557\n6236 6463\n1234 10538\n2028 3024\n1947 13470\n7800 11944\n865 12044\n11650 14249\n11579 15152\n8531 12772\n808 3335\n5490 6343\n422 7900\n9873 10495\n956 9251\n1209 4918\n137 8349\n7682 8173\n9384 12355\n1929 11023\n9031 10785\n709 8421\n3881 10731\n3534 14220\n3110 5620\n12440 13713\n2387 11221\n3025 5569\n6332 10500\n6091 13878\n5777 10480\n6158 9989\n9180 11235\n2541 10616\n3336 8449\n3520 11352\n160 12883\n1046 9572\n6144 7821\n6889 9835\n7254 14457\n6185 14285\n8117 11838\n1919 15017\n1692 10083\n5683 9588\n11556 12832\n5072 11859\n3433 3762\n1859 13525\n6933 11047\n10268 11737\n3346 8486\n663 8044\n4183 15274\n740 13780\n12151 15109\n2820 8044\n1896 13479\n9654 12571\n6074 14713\n3666 4076\n278 2055\n4095 8603\n8801 14946\n340 14818\n9157 12780\n1612 9262\n8532 14478\n3291 11229\n11677 14911\n11423 15105\n4295 12936\n24 808\n4719 13832\n7034 8989\n8621 11245\n11987 13412\n2562 4421\n1919 4956\n698 4146\n7157 11215\n1961 13924\n304 5258\n3669 6861\n9961 11378\n7658 8440\n494 14342\n5714 9425\n9072 10990\n4265 4285\n4123 8063\n6031 11241\n4963 8685\n3556 10452\n8083 14643\n8394 13851\n4008 10525\n6192 10757\n11530 12378\n2439 4264\n12385 14449\n4418 8117\n8448 15040\n3780 4159\n5272 6102\n3205 4820\n3579 8949\n1687 14491\n723 14949\n878 12781\n6809 9999\n7992 14363\n13866 13877\n830 6670\n8509 14943\n853 3810\n3527 4187\n8719 11060\n10091 15286\n5752 6597\n11898 15185\n6592 11888\n3927 4955\n11097 11412\n5199 11827\n1110 4268\n718 1493\n5901 8705\n6145 7444\n3970 7987\n1636 5602\n10722 13802\n10396 10996\n5688 12560\n1183 13721\n968 3491\n1572 14726\n2159 12447\n9095 10154\n922 13793\n10916 12289\n467 1158\n415 3225\n2255 5468\n3490 5918\n5713 8224\n2720 5896\n1626 5068\n9724 14273\n224 7649\n4843 5106\n7109 11605\n11367 12423\n2101 9912\n6548 14872\n5368 5960\n1806 5488\n3992 10646\n5119 13789\n13106 14782\n11479 12739\n4902 14302\n10344 14595\n1157 13769\n2244 8229\n528 2043\n10276 13102\n3855 13647\n1408 14359\n10738 12269\n9485 14235\n9462 12740\n305 7905\n1895 5753\n5079 10555\n3521 8931\n6643 11137\n4690 5792\n1193 7328\n9137 14427\n1161 11051\n2787 10617\n3534 5522\n4238 5178\n7605 9394\n3729 9888\n3841 8163\n330 12461\n1075 7662\n1513 10097\n7454 11204\n9165 12822\n2429 11717\n6563 10100\n2372 11268\n9242 14842\n3318 8656\n6330 6492\n5216 7671\n3811 4229\n1895 7996\n8232 9634\n1413 13020\n1792 5175\n5271 7932\n7539 8966\n675 14409\n4910 10617\n9316 12551\n2410 11607\n6367 10290\n2061 8390\n3917 9543\n12357 14614\n12535 14107\n2301 13006\n12941 15062\n8209 9384\n964 12052\n6309 8791\n328 11355\n2517 13440\n2507 9392\n6610 9589\n11901 12845\n8245 14278\n11929 15150\n3621 13932\n11881 14534\n427 14454\n6294 6719\n773 8403\n7554 10561\n5556 9383\n2813 13482\n14947 15142\n2195 6189\n11398 12875\n374 5545\n10655 12277\n2503 4183\n4769 14932\n808 3865\n7896 13203\n7596 12193\n10307 11080\n4069 11943\n9984 10877\n5616 9804\n6922 14707\n4310 6685\n3109 10477\n10858 11186\n5900 14795\n2263 4378\n12457 14701\n9511 14709\n8587 14306\n915 5585\n12755 13817\n6767 13594\n9201 12596\n11169 11414\n12740 13765\n5123 13931\n744 9885\n2005 12506\n7224 9250\n1836 5999\n789 10354\n2763 8524\n7606 13754\n11677 15091\n852 6889\n6602 14562\n1264 13087\n257 8074\n7343 8791\n3552 7018\n980 5329\n3933 11267\n11838 11927\n1012 6124\n5272 14415\n6305 14832\n10478 11845\n569 9854\n2669 11608\n8005 11555\n10142 12834\n2307 9578\n6222 11600\n7380 10042\n945 11622\n1015 11812\n6641 10561\n1883 12279\n6921 8485\n7469 9920\n2060 12505\n4819 7371\n826 1066\n3373 8802\n5794 6948\n7150 10366\n906 11446\n2814 7683\n630 6954\n4794 10519\n557 13271\n1176 15269\n11046 11659\n4684 10399\n13265 14760\n4146 5852\n1243 8339\n6290 7713\n8859 13382\n8242 13199\n2184 12990\n1272 13729\n2195 10987\n9392 14927\n9748 10461\n5056 8727\n10078 10744\n7765 7790\n4552 10634\n837 14850\n5220 6221\n1946 14334\n8561 10515\n6645 7568\n183 14454\n2265 3196\n1201 14383\n3553 6561\n5090 8249\n2782 4446\n3118 5085\n10440 10562\n1531 4909\n9120 11834\n7042 14630\n5066 8816\n1383 9979\n9931 10612\n1510 10866\n10941 14549\n12735 12957\n13234 14044\n7245 10856\n12559 13189\n5149 11898\n2011 12903\n11098 13276\n5290 6857\n5150 8003\n10864 14251\n13687 14197\n1285 4420\n2963 12504\n9836 11350\n9045 10049\n5800 12382\n4475 7150\n13953 14238\n2291 4974\n5941 8547\n1010 8879\n4652 11826\n4310 6351\n601 7618\n7333 10851\n5970 7901\n954 6691\n6993 8205\n11186 14831\n885 11044\n10160 12962\n13928 14913\n523 3535\n4832 4879\n4402 12698\n3644 8422\n1010 4460\n12632 13538\n3543 7532\n8256 12104\n7408 7981\n1858 4447\n10324 13734\n4894 11190\n7349 12040\n8767 9378\n3994 8990\n7323 12382\n5260 11728\n9258 10665\n7797 12281\n1509 14433\n535 2965\n4040 9480\n5287 11226\n6178 7329\n6578 14025\n1864 14650\n11233 15306\n7145 13821\n2478 7036\n7547 7978\n1357 14423\n812 13460\n3370 5076\n9116 9436\n1802 11455\n1577 14799\n3785 8860\n1423 9009\n6435 9168\n2359 12639\n5925 11465\n5964 8146\n991 6895\n4473 6992\n11502 13325\n2892 8299\n1223 13959\n611 8371\n3360 10273\n736 12473\n8869 9464\n2098 5645\n3709 7836\n7466 14881\n5794 13944\n1443 7057\n9584 11004\n3485 9857\n2565 4600\n5297 6012\n4424 12852\n1349 8987\n2434 14168\n9354 10731\n166 6430\n5606 6103\n4636 5046\n9224 12808\n4607 8285\n7640 15231\n6096 8332\n8506 10295\n1655 2458\n4177 4623\n10212 10250\n6726 14473\n5734 10126\n3935 10882\n8814 9356\n10279 13201\n4778 4834\n7995 8546\n12198 14666\n9572 11841\n1323 8605\n66 1115\n1486 15027\n2135 14040\n9495 12146\n4078 11325\n4146 8188\n2720 4726\n123 2098\n4886 4942\n1857 14068\n4720 14096\n7458 8349\n10966 14512\n5896 12326\n2104 6797\n5632 8976\n11195 12786\n4980 6234\n2320 10776\n2900 11926\n2077 6105\n4019 9362\n10194 10906\n5306 8494\n4418 11507\n420 13255\n11121 15009\n768 5538\n11272 11887\n10838 12236\n3798 11428\n6815 12578\n4547 15276\n1891 14781\n14215 14737\n6722 12730\n609 1106\n812 3810\n7320 15258\n3748 14758\n6966 12890\n10911 13435\n4402 6325\n8914 15175\n8653 10781\n6757 9484\n3167 3625\n197 9736\n5570 13708\n7003 8244\n4579 9425\n1235 7940\n7994 13219\n6801 13750\n3037 10979\n10605 11850\n390 4288\n1389 11929\n3356 6461\n621 3003\n6700 12269\n2188 14193\n6863 11680\n4772 10653\n943 4806\n6475 7746\n6878 10208\n6148 8448\n7003 12611\n837 8358\n6365 12200\n5528 15227\n7177 8222\n7468 9159\n2022 6452\n9236 13641\n4405 9540\n9716 12648\n3187 12161\n12892 13889\n4193 8447\n993 11149\n1008 4584\n3759 11922\n12518 13747\n1235 10101\n4197 9118\n4961 11243\n9349 15078\n1630 10821\n12304 13587\n6703 14680\n3856 10361\n4486 12588\n11067 11311\n7419 14654\n5626 13328\n3912 6226\n2646 14791\n2422 12853\n10878 12520\n4053 13949\n3481 13820\n120 7313\n2734 12685\n3077 4875\n2229 10369\n1291 11209\n1625 1642\n4731 12311\n3994 12733\n5146 6065\n8867 10574\n8215 13061\n10016 13568\n3097 14620\n10608 15270\n441 8739\n11733 13702\n13317 13469\n5974 7032\n163 15112\n6149 12182\n2428 11195\n6586 9338\n5757 13392\n1755 8663\n5478 7827\n6626 7374\n2834 14656\n6429 10657\n10298 11159\n876 10006\n4018 13780\n2919 3437\n8067 13338\n5619 8750\n10683 11697\n7879 8847\n4510 6199\n1081 3541\n5249 9255\n208 5829\n5979 11028\n8282 11690\n4623 13052\n1518 5744\n9163 13753\n4979 6129\n6883 10286\n4916 9754\n6282 8011\n345 10346\n7271 12126\n7466 8330\n6329 10519\n7588 7866\n4397 11568\n2471 6169\n10646 14541\n5790 11178\n8477 14623\n5447 13672\n3855 14801\n3217 6912\n14434 14584\n5463 6092\n10342 12172\n5728 9660\n7588 9151\n2828 11866\n5574 8566\n9074 12542\n6960 10405\n6860 13973\n8153 9653\n3015 11772\n809 2302\n2521 12193\n3069 9816\n632 8866\n563 14614\n2909 7103\n2695 6879\n2033 5945\n10916 12351\n2035 5220\n1298 15139\n3199 9970\n6153 7952\n4391 4579\n2132 13052\n828 3540\n10327 10541\n12452 15087\n1542 5795\n390 8203\n951 3231\n344 13466\n9603 10627\n1200 10533\n124 519\n399 5565\n3141 14272\n1513 2317\n3721 11410\n10146 14166\n3039 14596\n6824 9080\n1315 13897\n7251 9817\n8524 13143\n504 3128\n7743 8488\n664 12872\n2494 5786\n1628 8649\n1044 9944\n1005 15209\n8661 11321\n8091 8540\n10388 12555\n6840 11667\n13522 14818\n7517 11549\n1375 1526\n11742 14403\n5604 8835\n6082 11195\n390 6496\n2761 6207\n1555 11334\n2246 6320\n3009 5739\n4283 7536\n212 13035\n1966 5006\n11941 14055\n5601 12711\n8535 15305\n12660 13624\n6306 14096\n10280 13434\n1259 14893\n1180 8762\n1476 4673\n1963 11974\n9935 12955\n2643 5705\n1597 11659\n10117 13450\n5895 12129\n428 2361\n83 5383\n1780 8315\n7751 14215\n6907 10173\n3240 10130\n3782 7474\n919 14679\n1923 7260\n2866 4656\n3465 12612\n2547 14204\n2693 12010\n1911 13089\n12262 14928\n1221 10422\n5049 12097\n1219 11566\n5532 6686\n4339 13283\n4826 12639\n2034 4316\n2221 13795\n4240 9712\n2566 2620\n2550 6694\n291 5868\n6557 13593\n8124 14028\n26 9520\n8860 9820\n3324 11878\n2814 8642\n1737 8861\n934 6482\n1211 8654\n12990 14830\n6160 13525\n4098 13323\n8696 12881\n8848 12075\n7540 8748\n4496 10763\n572 7017\n3004 14144\n10878 13990\n7090 11256\n6422 7959\n7039 7421\n196 4270\n10904 14455\n3478 10207\n5792 6024\n10867 11930\n94 9079\n150 14615\n4472 14324\n10967 13079\n2455 12802\n2863 12887\n4379 7870\n11047 11809\n10926 12740\n2643 4145\n516 5137\n9439 9856\n839 8880\n12079 15194\n9750 11838\n8000 10863\n1451 10491\n10974 12651\n6615 6943\n173 6061\n1064 8019\n1483 3462\n3794 12409\n8528 12889\n4630 13005\n248 14268\n744 3348\n5767 14518\n1068 14305\n3167 11095\n9079 13650\n5394 10202\n2724 9239\n3043 6199\n8529 10421\n511 9454\n5522 7789\n6801 14053\n750 4983\n140 5356\n12051 12297\n872 10095\n1385 4384\n6951 7623\n5110 12564\n10968 11658\n6256 12752\n2777 14651\n2323 4366\n575 7765\n3330 10518\n867 4235\n9211 12028\n794 15096\n5635 6746\n12162 13155\n4355 11317\n6219 12531\n7311 14865\n560 14358\n1701 2958\n2092 7587\n10992 14287\n1996 5645\n9598 13299\n7055 7734\n2985 4656\n1217 1914\n1812 9880\n7359 7617\n731 2113\n5791 8131\n10009 12372\n3899 13316\n8941 10036\n5481 5715\n12104 12922\n2349 13065\n6682 9761\n1934 2021\n4225 13090\n6365 14971\n7477 13145\n1026 8143\n1381 12161\n6102 14701\n9445 15263\n10077 10773\n1803 8344\n12524 13337\n1728 1804\n2885 14736\n5707 7087\n2392 12170\n930 2172\n5696 14972\n11835 12138\n1294 4865\n219 6435\n8403 10600\n3949 5452\n440 10788\n12248 13209\n8061 13697\n5128 15124\n6511 13248\n9364 9798\n4481 9329\n2991 7166\n4185 8774\n4819 11165\n11056 11642\n7556 15254\n2469 3770\n8824 9122\n5927 6903\n7158 15276\n3187 9461\n4379 14815\n11045 13999\n12002 14740\n4430 10079\n8469 12671\n6115 6822\n6406 10728\n4429 14615\n656 10387\n2809 4557\n6522 8781\n4461 10049\n1972 12185\n8065 8153\n12925 14273\n6786 8643\n2713 12948\n5010 7339\n6507 7779\n1364 5756\n10618 13988\n11095 11139\n11935 12133\n6341 11161\n1977 13028\n1279 5525\n7002 13518\n4669 14793\n9089 12159\n10070 10343\n10038 12160\n3666 12888\n12150 13363\n748 4553\n3120 10897\n9541 13509\n114 2758\n1475 9176\n12008 14462\n5015 14153\n108 5709\n8963 9662\n893 11013\n7822 9037\n2766 12617\n7880 11519\n1292 4413\n7987 14974\n5876 9972\n3973 5581\n472 5700\n5266 8790\n9426 14968\n6758 13022\n1740 14333\n6450 14002\n8567 9178\n6509 11080\n10756 12715\n8811 14005\n920 10765\n12264 13336\n5070 13999\n11492 14603\n7232 10141\n376 4545\n9661 11783\n459 5832\n3742 14632\n5792 12104\n10729 14703\n3125 14569\n1134 1826\n6834 11020\n8361 14460\n2201 10372\n2677 10489\n3592 11819\n6010 11577\n8450 13475\n775 10495\n1994 7609\n3967 4802\n1438 2814\n13570 13624\n2236 8507\n9844 13353\n1237 12863\n4925 8650\n4357 6711\n2448 13616\n2678 7417\n11384 14462\n268 4184\n6145 12802\n2264 15155\n1658 5892\n11526 14961\n4301 10951\n2343 14101\n5678 9072\n3940 5771\n2244 13389\n8715 9473\n928 5317\n1934 7732\n3980 9249\n10749 13189\n2426 11291\n1570 8084\n4238 14111\n6341 9493\n6919 13687\n3432 7597\n2127 11251\n3471 8785\n5523 5858\n1686 11807\n4187 10919\n2228 12570\n1344 6536\n4267 8764\n14394 14610\n12098 13303\n804 4848\n2371 9407\n6170 7992\n64 7222\n9300 10182\n5781 12648\n5482 10242\n2164 5966\n11367 14049\n5936 14188\n3447 10715\n560 4805\n3956 9235\n1178 9602\n2248 11159\n9248 11369\n10257 11392\n4830 7333\n14125 14533\n9988 13458\n7650 9114\n7918 7938\n726 3098\n2400 6226\n1494 11808\n2083 13606\n6701 14291\n3829 10592\n12647 14309\n8358 12430\n6569 14345\n96 11680\n6755 15036\n5001 15012\n3484 9074\n1116 5978\n3503 8419\n6255 12126\n9739 10552\n2049 4612\n7749 13097\n3777 8550\n3570 8111\n253 13359\n2000 7259\n2256 14411\n11878 15178\n2151 2343\n5977 7656\n6008 8962\n11755 12198\n9452 15075\n2969 15300\n8470 14610\n5179 11553\n4139 10273\n2924 8400\n4842 15106\n14372 14740\n2366 3694\n401 491\n1653 8672\n6841 12808\n127 10309\n8767 10949\n1807 4568\n4206 10587\n9710 10344\n619 12339\n4880 14861\n3221 7765\n2276 10417\n6091 10781\n4302 9489\n336 4074\n56 11062\n1457 11291\n5293 5729\n3047 7965\n5908 6793\n5618 7890\n12975 14782\n1830 2035\n4716 5346\n5691 14418\n7198 10538\n4323 10501\n1529 2331\n6168 6542\n2596 7179\n3657 10756\n3201 15175\n12097 12781\n841 12082\n5681 8285\n1804 8935\n9092 11040\n7594 12735\n12159 12318\n1843 2945\n9581 10266\n9379 14313\n13559 14154\n5344 8297\n3212 7654\n2386 13099\n3766 10142\n5863 5878\n5426 12685\n4169 12596\n1122 2742\n490 12464\n336 9680\n2538 6571\n2442 8529\n6753 14577\n5594 12242\n1624 4880\n3952 13592\n11747 14651\n2996 7745\n4185 13746\n1773 10437\n655 3050\n1326 7648\n4547 13571\n6598 8501\n6163 7532\n265 4613\n7975 11047\n12846 14180\n1335 13658\n1416 11728\n4387 14955\n9888 10003\n11670 13738\n806 8645\n8291 9190\n2550 14798\n4391 9932\n1013 11457\n929 1605\n10803 13672\n1971 5147\n12122 13206\n5555 13430\n2680 10147\n4746 14639\n7157 12459\n2989 14979\n5408 10997\n7012 13061\n616 14322\n4038 13128\n3112 10928\n6995 10161\n13747 13822\n7580 8657\n13024 13287\n10002 10628\n13863 14173\n8170 13650\n6549 13925\n530 13716\n4621 14133\n1504 9852\n7475 13697\n9027 9606\n10198 14948\n4183 11145\n332 5785\n4971 12624\n5541 6326\n7128 14028\n6933 8571\n8076 12565\n2146 8642\n3411 12017\n562 1750\n4445 4939\n6197 9647\n1399 7745\n3692 14470\n8976 14778\n9695 14142\n11528 14519\n3429 13543\n2082 3336\n3740 8204\n12528 15260\n3912 8624\n8338 8605\n4131 9299\n4859 10961\n103 2838\n746 4373\n6082 9592\n13535 13761\n328 3540\n1175 4351\n1151 12095\n7318 8873\n12050 14710\n5965 11021\n10843 12442\n5371 11630\n2074 7826\n4346 14155\n7699 14671\n571 9478\n5324 11063\n1604 5018\n10179 10777\n8631 14384\n1361 7723\n537 13925\n8158 11255\n12287 14494\n134 14757\n1967 2134\n13223 13385\n4877 5112\n3001 3346\n1204 12630\n5247 5735\n12236 13743\n8608 8633\n6536 10723\n2573 7716\n3481 7708\n11807 12583\n1026 15293\n8997 11793\n13239 13521\n7090 9380\n792 5090\n10803 12441\n9382 11213\n933 12889\n11984 12022\n2740 8591\n8922 11814\n8559 8939\n1377 5433\n10790 12141\n10064 11471\n11151 13306\n4964 6446\n1852 14407\n1038 14023\n3883 13425\n6047 11281\n2430 6715\n1301 12967\n3669 12257\n1902 8672\n553 14259\n2136 11952\n9756 14480\n3161 14087\n938 9441\n6394 10230\n2083 9058\n5509 14503\n8740 11384\n1109 13960\n7045 12233\n9930 15095\n835 7893\n7579 12164\n395 13333\n10842 15287\n3368 12504\n6255 9649\n1511 9658\n5052 14828\n1325 3266\n14281 15209\n7734 9600\n6648 11399\n2019 14275\n11410 14680\n8863 9155\n12273 12524\n8281 15131\n382 9752\n6247 10275\n3224 15162\n4860 8916\n14505 15193\n8307 12218\n2055 8336\n10483 14456\n9 8701\n3895 6135\n2243 2655\n6053 7119\n5110 6920\n4221 10380\n905 11654\n1006 6773\n8508 13943\n1734 13472\n89 976\n2374 13721\n4094 4835\n2560 5326\n4084 15064\n585 8837\n184 2669\n5365 12517\n10597 14498\n1621 2442\n10497 11698\n1840 3909\n6042 8404\n7951 8512\n5116 7527\n7131 11326\n2174 5801\n1705 2434\n2028 7306\n4047 10908\n3418 3741\n281 11577\n2782 6670\n71 7385\n1753 11745\n8664 15267\n3699 14740\n2823 10225\n6822 13400\n10606 12368\n9911 12627\n3476 6938\n6593 8922\n8382 10296\n6602 8614\n158 10357\n6235 6444\n8643 10720\n10953 14240\n395 4489\n1218 9792\n5228 12806\n52 14421\n3128 5972\n6401 13719\n297 12382\n5935 6305\n114 7571\n7743 12713\n2491 5807\n8989 12433\n3457 13193\n1079 3937\n7878 12281\n5108 12430\n99 322\n414 6014\n167 896\n1780 12489\n4910 7111\n6839 6873\n9858 12709\n11117 13078\n2824 12627\n8014 8751\n5552 9916\n4244 8830\n13595 14663\n105 6353\n3387 10337\n1988 7493\n343 9951\n8056 15291\n11250 12831\n3811 12829\n1056 4937\n6170 14979\n1315 14867\n741 5749\n1501 3199\n6782 11108\n826 6461\n4947 10564\n3288 14830\n9723 14611\n2318 11254\n528 9560\n4261 10805\n6992 10509\n4748 13562\n834 3928\n9065 9661\n8259 8276\n2152 5192\n8972 9177\n9693 10676\n1665 6448\n3160 13330\n6739 12157\n3646 14863\n9966 14905\n8004 14044\n2458 4224\n3829 4324\n2977 14825\n5209 10020\n3022 5725\n3389 12858\n2963 12182\n5479 12883\n1399 12417\n2033 15037\n4000 12570\n944 6404\n8809 10571\n10119 15261\n2097 10846\n2798 6281\n7363 8986\n7591 12462\n6059 11018\n1180 11926\n12137 15154\n5388 11488\n2152 9981\n1966 7923\n6077 14632\n5495 14628\n9896 14737\n13 5499\n295 9700\n9425 12624\n4443 12406\n1187 4901\n11146 12953\n3821 5250\n3556 11118\n450 5190\n4319 4668\n5362 11833\n10015 14887\n11112 11770\n12166 14676\n1069 6487\n2868 3725\n12121 13860\n2105 11502\n7267 11131\n7679 13588\n8445 8755\n3676 12439\n4591 9704\n10152 13962\n1397 13861\n3877 12930\n2911 12798\n9495 13468\n2805 9639\n6352 13438\n2221 9298\n3023 5084\n10797 14731\n3696 4194\n13222 15253\n1451 6760\n3904 14639\n1032 13952\n2399 4390\n12616 15171\n10541 14760\n6471 9238\n6220 12819\n1795 6954\n1584 12176\n1037 13746\n4326 14640\n11266 13144\n1578 12131\n12231 13938\n2625 9997\n1265 2465\n342 8181\n2982 4612\n2141 13203\n7519 14107\n12802 13875\n8833 14792\n3443 8604\n2769 8823\n3914 6288\n1183 9200\n233 697\n2820 12672\n5622 6179\n2679 6092\n10866 10944\n4465 9796\n5933 8423\n65 2831\n1498 6614\n10813 13350\n5352 13905\n11853 13137\n4571 13475\n1335 14532\n1495 14317\n2682 15065\n1304 1547\n5982 9063\n4164 7162\n10355 13999\n1911 13455\n5513 14788\n8603 9487\n6848 7668\n10269 12549\n2198 14072\n4431 6471\n3400 5598\n12413 13730\n7078 11966\n5930 9110\n1175 5341\n1146 13200\n1730 6063\n8083 9654\n7145 11026\n7352 13258\n1813 7049\n1185 3445\n6053 7635\n1261 11581\n3394 9214\n4136 14347\n4968 10728\n7291 9499\n8959 12373\n11799 12402\n7494 11296\n1309 9704\n2885 6566\n1430 3239\n7323 10186\n4332 4407\n6797 13192\n500 2132\n5629 10880\n5488 10691\n10878 11023\n4498 14767\n3630 5352\n5330 13194\n441 2887\n3079 14065\n3751 9700\n14724 14968\n5783 12906\n5234 8507\n8377 14748\n5150 7126\n6395 8819\n720 6098\n2378 8188\n7912 13732\n7394 13310\n4594 14213\n10871 12353\n2612 12808\n14378 14603\n4956 12155\n8306 12712\n887 10557\n3758 12514\n10393 13847\n8032 8537\n8574 13361\n4643 12276\n108 11223\n961 10126\n11875 14919\n1107 8674\n1916 11194\n5797 6497\n7391 8423\n7524 15200\n6845 10006\n6299 11145\n5704 7924\n2635 8496\n1445 8860\n348 4386\n7238 10770\n2277 11063\n5150 5160\n1956 9411\n8937 12967\n4107 14186\n3675 6726\n8523 14535\n4238 14075\n7425 13158\n6738 11472\n9940 11970\n2949 9405\n5319 10930\n11262 13247\n5446 14047\n1644 5029\n288 14627\n5719 9978\n10723 14665\n9391 11127\n2990 10574\n3050 6629\n672 10272\n4020 6983\n1538 10389\n201 14361\n5922 8619\n574 13260\n4520 8886\n1383 1868\n4065 7007\n6380 8218\n2829 3818\n6075 7156\n6322 7489\n2533 3284\n2603 6679\n14561 15249\n529 9126\n3664 4281\n3068 7481\n4069 5384\n9025 12166\n10648 11019\n3549 7510\n5228 13465\n2936 4354\n70 10037\n1996 9489\n2733 5543\n2333 10020\n8619 15168\n5751 12926\n290 4521\n4895 8283\n6021 6197\n4004 11846\n13478 14333\n11376 12643\n2868 6932\n802 9309\n7256 10530\n4113 5538\n8363 8616\n12094 13127\n290 14639\n2513 6036\n14827 15243\n707 14581\n4976 9981\n5227 5899\n6641 9953\n14563 14594\n6526 8168\n3646 5403\n3655 8508\n1585 8505\n11064 11065\n5586 14747\n882 5670\n10599 12322\n2276 13747\n11062 11443\n971 7528\n10772 12209\n1923 1996\n8954 10485\n1108 15277\n13059 14721\n1338 7930\n2245 4137\n4082 5846\n3316 7082\n3006 7014\n2124 15184\n9786 13078\n4764 6883\n762 7962\n468 2265\n2001 12893\n7704 12252\n4389 7679\n7721 11494\n2365 14969\n795 11109\n4335 8623\n907 3203\n5259 11964\n1495 7969\n2333 14830\n3133 10156\n11899 13649\n360 2076\n277 10222\n11507 12283\n4183 14462\n7619 12050\n4015 9080\n11074 12825\n3102 9540\n10608 11937\n7258 12988\n1151 14019\n5648 7731\n56 14431\n3468 14208\n385 2068\n9762 14079\n7026 7227\n2514 10620\n2683 10596\n5213 11098\n4447 4840\n412 14968\n10387 12536\n9999 12320\n1771 12814\n11619 13265\n7213 11243\n815 7682\n1645 7077\n2437 5850\n5750 6287\n6818 10036\n1647 4960\n1145 12797\n759 6351\n409 719\n3748 13425\n1538 11053\n9336 13269\n4170 11292\n2130 9466\n6175 12270\n6736 7465\n1739 4277\n2370 2898\n2538 4289\n4005 8256\n9256 14672\n1431 4227\n722 10388\n11518 12991\n6372 12088\n3838 12747\n3259 9092\n9376 11095\n3033 14404\n3143 10004\n8876 12488\n11536 14519\n165 8140\n4087 5053\n7625 13777\n12366 14621\n8573 8576\n11770 15298\n4613 13418\n784 10946\n4940 5635\n740 3843\n1045 3085\n1980 4671\n7366 12325\n1943 6181\n10267 10948\n6330 13919\n11870 15304\n1397 5322\n2030 9459\n350 10339\n141 8983\n396 2543\n11628 14894\n6682 7461\n2975 10043\n2417 4225\n6024 9091\n6067 13728\n2547 10851\n3243 5759\n8014 12428\n5435 8615\n12097 13124\n3242 9260\n9177 13499\n1845 7781\n6761 10376\n6756 14449\n13032 14983\n11992 14298\n1851 7391\n4278 11770\n7402 7493\n2216 2807\n1003 2144\n8745 9581\n1254 8809\n7469 14761\n7946 10674\n9384 9780\n12916 13567\n13440 15295\n9466 13276\n6699 7929\n5013 12640\n10224 14921\n6921 13387\n10000 13390\n4452 10125\n1113 6495\n1052 3356\n11005 11182\n13110 14834\n10577 12574\n2154 12423\n5416 13634\n678 11801\n6566 8638\n3809 12022\n1553 14421\n4672 6783\n7653 10292\n1727 6519\n2611 11755\n901 3604\n4935 8989\n4216 11308\n9695 10648\n3212 11217\n1427 5649\n11123 11265\n4520 13213\n1582 11351\n10796 10842\n4815 6324\n9007 10942\n1207 14676\n1626 14956\n88 14612\n3002 5733\n427 8478\n10108 10526\n6706 11931\n10597 12773\n4857 11223\n5 6448\n4604 12944\n3018 12108\n1858 8789\n1228 7877\n2262 5872\n10028 14877\n1272 2170\n4788 11562\n4482 5961\n379 6758\n1207 7953\n3156 6323\n10894 13284\n2800 10530\n5857 9323\n5137 7774\n10542 12553\n11929 13038\n2198 3436\n6119 11910\n181 929\n706 6861\n4380 8569\n13988 14837\n6755 11139\n4102 7964\n1976 12105\n1219 13347\n5225 6831\n4065 6137\n4043 4198\n6457 7616\n9559 10845\n1692 10199\n5100 8203\n723 5956\n8291 14715\n1320 4069\n696 2835\n426 6149\n12743 13151\n5524 9749\n6537 9929\n652 5288\n5534 12473\n1075 3769\n13333 14409\n10934 14448\n5653 15146\n11140 12088\n6379 11400\n3815 12354\n6662 8578\n8658 9194\n10833 13239\n3900 4048\n10029 14819\n3699 3702\n2684 9314\n1784 4612\n6441 10674\n5378 14284\n2846 9627\n5134 8299\n5348 11336\n6011 6175\n2847 9973\n2862 12266\n8333 9997\n2 14911\n1289 6793\n5717 10046\n361 6732\n1157 12841\n8143 8290\n8854 12793\n3010 9745\n6433 13056\n9240 9689\n5251 11903\n7787 8904\n4023 6243\n9824 12857\n1096 14358\n6268 11678\n4733 9112\n8377 14456\n6621 13319\n3876 4867\n3306 12086\n6994 10779\n5935 8205\n6623 7222\n7032 15037\n3864 7191\n3036 3635\n6104 13968\n1138 15030\n1126 11389\n5648 11616\n3774 9657\n1806 7458\n6106 9280\n2962 9355\n7807 14373\n8083 11884\n392 4579\n4117 9198\n1122 6225\n2034 5788\n3873 14293\n12805 15010\n13037 15231\n4878 11102\n10914 13826\n1475 10887\n9018 9860\n10584 12706\n6602 7891\n1771 3974\n2378 11129\n8421 14495\n3060 6826\n2812 9938\n4468 4476\n9624 15130\n7653 11356\n4954 9019\n5089 14689\n9631 13180\n3051 3451\n4269 5773\n7951 9831\n4438 5449\n1096 14554\n8300 11381\n3616 13949\n12277 13056\n2100 7369\n9529 12683\n6649 9849\n4446 8240\n4638 10063\n1959 9118\n65 9090\n10883 14179\n13843 14873\n1540 13519\n9512 9691\n4665 8082\n174 14021\n1122 4483\n2976 3740\n1576 8040\n4514 12083\n3789 10090\n1490 12771\n13162 13266\n1263 3852\n494 8784\n7741 12069\n972 8046\n7168 8315\n834 13312\n3 5769\n11752 14278\n2146 15132\n3856 6693\n6910 8349\n4119 7348\n4490 5734\n4491 11157\n1552 14780\n5463 6949\n10477 13182\n3870 9557\n3850 14817\n6693 11051\n6975 8889\n3536 13909\n13535 14943\n12425 12654\n1200 10337\n8853 15147\n424 13864\n6745 7605\n5746 10525\n5691 15014\n1760 11900\n6638 6701\n10835 15040\n7275 13689\n3417 14194\n6111 7252\n1528 8487\n4797 5207\n1190 10979\n6062 9391\n4834 8032\n3797 9536\n9571 14950\n5091 10140\n4238 14528\n792 13806\n10470 15254\n8079 14800\n5088 10076\n8187 11623\n2388 8013\n1030 14553\n10455 13801\n7947 15031\n7997 8322\n2214 7705\n11806 12580\n5781 13209\n8592 9236\n500 12424\n2248 9960\n706 5875\n5686 9123\n1260 4219\n2101 2198\n14089 14195\n942 10579\n10199 14662\n749 8625\n8372 12555\n12098 14384\n12560 13762\n7750 12786\n1891 8690\n845 7226\n2567 7638\n5555 9848\n1772 12299\n5445 12373\n8646 13180\n5929 10018\n8198 11807\n5527 13916\n5193 7233\n3201 8260\n12535 14069\n701 11419\n3721 5764\n5280 6822\n4830 13384\n10264 14277\n1220 2932\n81 2008\n2626 8707\n2339 8212\n2562 7641\n1135 11287\n792 14026\n360 452\n220 13516\n1285 1916\n3666 11456\n8853 10150\n11848 12430\n3435 15127\n4589 13045\n10779 14633\n4321 7308\n2301 11710\n10539 13549\n9992 14291\n197 1305\n260 4908\n4966 10645\n1370 4420\n5166 11722\n477 10902\n1183 8703\n638 3423\n4682 11444\n476 8819\n7001 15059\n670 3978\n256 7897\n1102 14609\n1328 10480\n12473 13847\n1289 14399\n10394 12001\n3046 15131\n654 14856\n6203 8693\n9055 10365\n523 8688\n8729 12745\n3983 7576\n2909 13328\n590 10626\n2797 2806\n7748 11762\n5008 12085\n2994 5378\n6632 14224\n4428 6582\n411 12964\n4368 14376\n7584 8724\n699 8264\n9057 11216\n7906 8730\n3039 8848\n2102 12138\n4259 14718\n9347 11656\n10382 14864\n14062 14632\n1014 9807\n8165 9184\n2438 9957\n3455 8364\n13803 14507\n874 7354\n12601 12734\n3773 10971\n70 14131\n8942 11167\n7053 14657\n248 7588\n8453 12721\n3122 11280\n9578 14794\n1041 1289\n1863 6985\n4017 10248\n78 5880\n1651 8154\n6376 13279\n10280 11076\n8359 11205\n11718 13004\n1799 7838\n7545 12533\n5435 9228\n94 3670\n7766 14650\n2812 6194\n11682 13962\n1403 3246\n4455 12161\n5912 7667\n8495 12543\n1580 6435\n1093 8675\n5243 6351\n7409 14846\n6049 11260\n6445 6563\n6073 15163\n3019 14748\n6678 12945\n6461 9881\n3944 7388\n4140 7096\n8885 9882\n8749 14419\n1335 5428\n4463 11063\n1273 10779\n8028 12174\n4219 11576\n5376 8595\n3655 11003\n6164 7617\n3818 8644\n8713 13004\n9517 11629\n5686 14005\n1005 9230\n4769 14732\n3248 14612\n1912 6502\n6799 13041\n3377 7090\n8285 12497\n10346 14226\n383 3309\n5023 8482\n5041 12509\n5670 6909\n2471 8946\n10996 11403\n6749 8378\n12287 14372\n3295 13514\n6352 9056\n9292 14397\n11515 13122\n5065 10260\n10393 15216\n3844 8653\n464 1622\n944 8052\n6841 15044\n3726 4902\n6599 8237\n9230 14947\n601 6561\n1173 10600\n481 2081\n8734 11951\n738 3222\n6938 7061\n4954 9338\n4401 7363\n3435 10242\n917 11840\n53 11569\n3267 15212\n7260 8195\n529 3513\n3826 6749\n4529 10850\n2675 12236\n1281 4339\n1752 2078\n11990 12301\n9991 11843\n4574 5730\n693 14341\n2451 4323\n6824 13408\n4295 4604\n4308 12429\n1531 10202\n10928 14165\n11273 12661\n382 10827\n3825 5944\n2719 9321\n14094 14917\n8327 8515\n9759 10228\n8313 13341\n1309 14880\n6339 11423\n120 10987\n2240 12176\n1024 11585\n946 10205\n8900 13374\n351 8090\n7281 14222\n3113 15007\n5941 9166\n2572 11071\n2339 2353\n5685 8697\n10398 10746\n1517 13455\n710 2848\n1575 8615\n167 376\n10042 13371\n7411 10037\n11482 12423\n10267 13496\n14175 14495\n8460 13311\n2001 12078\n4774 9760\n3895 10737\n3741 11499\n865 3995\n2533 10326\n4281 5251\n3026 7402\n2267 14110\n4438 8454\n14384 14671\n2958 13643\n6430 13413\n4011 11903\n7848 10232\n7693 13150\n6067 6141\n304 13607\n5936 9028\n2034 2392\n3409 11697\n7450 8191\n12929 15161\n3351 14702\n8196 10449\n2678 3692\n14792 14850\n15 663\n11333 15050\n10785 12334\n775 9901\n239 12741\n3196 8048\n1770 12192\n5430 13484\n5969 14829\n4452 9891\n3552 11688\n803 10655\n6468 13700\n4932 13838\n10271 13177\n4894 8311\n327 3093\n3624 13451\n1411 14041\n9424 11780\n5903 9993\n2919 6744\n10419 12033\n6818 12483\n2856 14932\n5104 9632\n554 3470\n636 13954\n371 13123\n2945 7289\n4580 5441\n12268 13210\n7249 8608\n2449 11666\n2479 6716\n11314 11740\n7898 13118\n5364 5467\n2132 14089\n7076 12691\n766 14431\n55 13250\n5637 10843\n4365 11904\n10788 15124\n4559 5353\n3060 5901\n7602 11561\n9577 11277\n4513 14447\n10217 14578\n2455 13721\n3892 6297\n7606 10737\n3252 6296\n4879 9932\n6812 7453\n5697 10224\n2674 12958\n3279 10015\n3150 14085\n2420 12998\n5 6187\n4506 11577\n2888 3756\n1018 6860\n9649 12856\n3092 9501\n893 5951\n3438 7029\n1155 4485\n41 3596\n6300 8349\n11327 11869\n5478 8758\n2442 11876\n3631 11047\n8939 8950\n7928 8504\n6575 7517\n7064 8090\n8430 9570\n337 12069\n479 645\n4091 10587\n5169 14609\n4777 5341\n3052 14618\n8461 8905\n713 2454\n898 12355\n7678 13687\n12545 12911\n8672 13090\n4891 14546\n5814 8135\n12395 15081\n1279 13080\n7290 7832\n11193 14324\n7251 8965\n3162 8350\n10024 11340\n4209 9379\n3807 3887\n200 5443\n2534 5933\n2076 13282\n6008 14324\n12496 13338\n13319 15041\n10301 11558\n5308 7410\n2041 14298\n1787 11216\n7618 12047\n6502 7571\n716 8209\n2935 12654\n3379 14924\n4621 12751\n12150 12452\n1328 4402\n6258 13159\n10755 14914\n5929 6790\n8331 9013\n238 15137\n11150 11500\n5504 14863\n3019 5324\n3273 10075\n6115 7548\n2549 13638\n8028 15024\n6292 9070\n1373 7200\n",
        "output": "205\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 91,
        "task_id": 541,
        "test_case_id": 24,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "17462 87055\n8272 9101\n1341 8445\n5294 14864\n4621 7010\n13932 15041\n8440 14812\n7166 16025\n13253 15062\n3482 11791\n3501 13275\n12459 17433\n2745 7256\n13859 15303\n11363 15520\n3870 14847\n4298 7253\n543 12534\n2698 6523\n2442 13495\n802 6099\n11500 13599\n9529 12219\n1902 3760\n7747 11119\n2914 15477\n4891 13982\n2803 6674\n3906 13965\n2305 5756\n1555 9572\n3909 13815\n2413 4725\n1208 12976\n4676 8232\n13161 15331\n1242 10676\n4892 8607\n10951 14532\n2811 16350\n4532 5404\n1427 4569\n7187 7939\n6400 7907\n9074 10333\n7617 10621\n636 14185\n1264 11180\n5146 10236\n2361 5035\n4454 16970\n6541 8221\n4436 16749\n7963 9445\n8734 11933\n867 883\n7215 13338\n13876 14949\n3296 9066\n4674 16930\n4343 17252\n6049 16359\n6113 11432\n6404 15666\n211 12532\n9147 15852\n12097 13100\n8123 14574\n7294 13380\n13609 16004\n3601 12798\n5299 16220\n833 15552\n5963 10816\n7613 12822\n11986 14928\n2802 12229\n6149 14155\n6225 12623\n859 14157\n6353 12236\n11330 11607\n6152 17307\n13201 13289\n14481 16998\n3591 6473\n2359 6904\n203 8867\n2236 15352\n3168 11086\n10631 10978\n5727 8763\n4209 13526\n6029 11549\n3229 3264\n9366 10915\n10538 15557\n1108 7058\n3184 15962\n1185 4632\n12301 13339\n2012 12636\n8402 12488\n10204 12215\n319 15223\n1706 8173\n7840 14516\n11866 17044\n7085 12213\n5033 13274\n3141 16436\n1126 17317\n7872 13271\n5984 12325\n4504 8244\n14560 14652\n5406 7897\n4922 15751\n1051 3315\n5461 8727\n3891 15530\n3618 5302\n13146 13930\n1559 3225\n7412 17338\n4531 6372\n2738 11216\n11030 16658\n2334 14091\n2637 15692\n806 4066\n6401 16039\n1317 11570\n10150 14865\n3823 14795\n6127 16040\n2566 14251\n12923 17424\n4566 7055\n2220 10936\n13873 14108\n5612 10741\n7362 13730\n6452 8321\n6638 8056\n279 16394\n4537 4770\n4461 9107\n470 16168\n5820 15595\n4566 15085\n2510 14396\n4542 12345\n6533 13843\n4448 17322\n2491 5437\n3693 8624\n5572 9552\n6884 7706\n1486 2203\n238 17257\n8140 16939\n2952 7513\n4515 14229\n7125 11600\n10139 13135\n10033 17199\n6100 8374\n8872 16135\n366 13959\n1173 12073\n10945 15272\n9633 10004\n11439 14885\n10950 16640\n5811 6269\n5260 10325\n2873 5250\n1030 9841\n410 11705\n4013 13120\n180 13559\n5667 13531\n3540 8169\n7138 11296\n9028 10272\n3843 10027\n1154 1805\n256 5793\n4818 13714\n12780 14254\n12714 16395\n735 4859\n9510 13951\n1718 15110\n12190 12405\n7128 8345\n8428 10491\n10358 17294\n7139 9466\n12875 13047\n6397 7158\n7605 10391\n4566 7875\n8421 11137\n3581 16838\n4663 4843\n11697 15011\n7414 10949\n2965 13522\n8028 8536\n1740 1963\n2271 4754\n3095 7222\n4321 13091\n6496 14731\n11172 15187\n8794 10020\n10067 15239\n11344 11830\n6211 16667\n13485 13655\n1298 6094\n659 11127\n4844 6723\n1765 6789\n873 8731\n5618 5955\n5827 11871\n12620 13613\n3353 8674\n10461 11579\n4065 13581\n5806 16537\n2748 10271\n960 15358\n5908 11469\n3565 6194\n575 9149\n2082 8570\n11305 11568\n7255 15409\n7475 11499\n560 13041\n9413 13769\n5556 6063\n5773 15924\n1984 13499\n2666 13006\n6364 13505\n11589 14159\n13266 17254\n81 14829\n15604 15672\n7870 9611\n3858 5384\n3215 13692\n2232 8717\n194 1863\n4274 4446\n12729 14937\n5583 7935\n4426 7514\n8739 10546\n4405 15743\n12013 12635\n4984 8973\n4933 11454\n988 13663\n8495 15938\n1136 7729\n6661 10012\n1526 13505\n4637 12837\n8504 16634\n11063 13616\n8585 12698\n43 7893\n1432 3434\n2445 5480\n14335 15293\n2339 6107\n3569 10984\n13486 16759\n13580 15385\n10164 10819\n8667 11474\n3353 15466\n1770 8469\n873 11138\n10121 15510\n10382 15806\n8504 9831\n4696 6555\n14903 17207\n143 14472\n410 7817\n2091 8140\n8924 11662\n12120 12495\n382 6990\n7022 15182\n15974 16038\n479 6018\n4943 7249\n5419 15469\n346 10142\n7460 17175\n2732 6721\n5436 11080\n8624 12703\n5276 15507\n3421 10735\n2510 8022\n4431 9738\n481 4944\n9092 13763\n11311 16758\n9095 11723\n118 903\n3072 8193\n7617 10955\n5696 13380\n6666 14848\n8327 9084\n3690 7713\n7229 12592\n16011 17362\n6780 17134\n5636 15390\n5207 15908\n8206 12432\n1609 10404\n3128 11057\n4225 4344\n11208 15027\n6313 10022\n7258 11765\n9103 15981\n825 15571\n10959 10977\n671 1507\n3277 10303\n4864 12509\n2831 15311\n3813 10113\n1763 3447\n6828 9627\n430 6071\n1090 11819\n4815 8751\n8541 12600\n184 8401\n11035 13391\n5953 9775\n9242 13977\n5036 16743\n12973 13538\n8979 9488\n14159 16434\n6059 17213\n74 17376\n4933 12033\n8154 13850\n2821 4675\n3366 10948\n12506 15332\n2020 11471\n3597 14551\n9654 13631\n8884 15784\n9301 9979\n11443 12874\n4469 15647\n954 7102\n6876 8956\n1796 11207\n58 2181\n605 9001\n5534 16241\n5935 8338\n2636 2715\n12005 16219\n12644 15773\n6592 17245\n317 1872\n13788 16018\n2339 10027\n5271 9787\n1106 3537\n2646 11293\n108 10213\n9074 14081\n10256 16113\n5562 14580\n11867 13062\n2533 5359\n10038 10049\n4074 4928\n1494 10593\n1572 11442\n11471 11674\n8030 16395\n9396 17415\n2257 9853\n2593 12920\n6714 15323\n2624 13266\n2819 10126\n398 7681\n3988 5655\n10178 12218\n10484 16956\n6425 14719\n12212 14644\n5074 12203\n13708 14762\n2909 7491\n4844 12687\n5844 9061\n4832 9553\n3949 8578\n3063 7784\n10655 12359\n5689 14496\n3186 12204\n1565 12699\n681 12204\n8363 16318\n2173 12603\n2328 15739\n4773 16554\n3067 7559\n3787 10493\n890 8472\n11118 15619\n4008 8791\n7929 11877\n9936 13323\n5914 9975\n10168 12131\n9966 12038\n7697 10511\n7085 7344\n12862 14063\n4017 8988\n6548 9139\n1491 11720\n1385 15968\n3799 4984\n3060 11824\n8350 9862\n5724 16661\n735 10959\n10263 15895\n3582 14145\n3572 7975\n2235 12600\n1032 5858\n5585 14568\n1890 6816\n8457 9665\n12206 16628\n3449 6535\n5214 5683\n5159 17318\n13769 15329\n2208 15275\n4890 6021\n8515 9536\n1138 12376\n6927 7094\n8382 10558\n5508 9758\n6491 7379\n2596 15004\n13148 13736\n1589 7587\n4173 9641\n8939 16164\n4586 12901\n6475 7912\n385 5439\n12863 13610\n5317 15818\n14172 16160\n1768 3873\n1647 13390\n3771 10846\n2379 17133\n3215 15287\n1613 6816\n8585 9730\n1828 10392\n6727 12005\n474 12372\n11380 16560\n10956 14500\n6832 12341\n13781 17396\n10664 13970\n1059 14806\n7150 11155\n4406 6357\n2916 14081\n6636 13368\n13996 15291\n10011 13105\n13454 17018\n1113 13354\n10684 11685\n6305 14989\n5310 11815\n1359 3817\n13702 14841\n1138 4445\n11697 16264\n7721 12446\n636 9882\n1555 9580\n3016 5106\n2083 4728\n5062 6336\n3061 9623\n5511 7374\n15676 17232\n4259 9259\n1249 1782\n2347 14974\n3506 4861\n1732 5407\n4184 7458\n7300 15436\n6866 11419\n4612 17161\n2143 6663\n4623 5498\n4656 17023\n6671 16560\n1784 5775\n11139 13397\n11287 12874\n12686 15786\n14027 17028\n13516 17221\n4534 8885\n5970 16114\n2967 7993\n12517 16509\n380 8760\n14840 16272\n5526 14047\n1464 12226\n3190 7317\n1437 6652\n7155 14013\n751 10593\n4237 5928\n7182 10371\n1263 10217\n3976 11594\n12688 15572\n7152 12032\n13067 17230\n9838 14878\n2881 3761\n8172 14024\n2804 13918\n6317 11135\n4062 7303\n4811 10854\n10285 12486\n2657 8998\n3523 12766\n2337 16105\n2903 12864\n10568 16135\n8028 8828\n285 4887\n2058 11986\n7014 10398\n7943 13652\n15089 16162\n11328 15626\n10120 11030\n4518 11082\n13836 14768\n432 10984\n1166 12690\n1495 10994\n2772 4768\n12636 15576\n2117 14355\n1886 6862\n7923 9067\n958 13234\n349 11714\n233 2063\n6731 10769\n2301 13941\n1640 2166\n7315 16171\n2783 10087\n14198 17320\n2912 4774\n10994 11946\n14291 15969\n4021 6123\n2189 8868\n431 668\n4701 10201\n6905 16929\n2355 9581\n7995 11181\n6575 8746\n2031 6355\n8991 15090\n6533 14547\n37 9092\n10197 11860\n727 6810\n12129 15734\n3306 7465\n1930 9366\n3796 11424\n1983 11196\n1635 16474\n5355 11884\n5141 14567\n11891 13623\n8578 16819\n2855 16994\n12420 17348\n3831 9265\n648 11207\n2615 10729\n1157 12957\n2400 13131\n10393 15241\n8255 14812\n8563 14120\n5378 13650\n3226 6741\n4216 16935\n5774 14692\n5462 9028\n7011 17249\n14715 17085\n1845 10136\n12490 16064\n3220 9883\n6088 10316\n6168 11438\n10266 17170\n4529 9140\n11112 17349\n9469 14996\n1600 3950\n46 14747\n1488 9014\n5162 13928\n7570 12299\n4851 13409\n3064 12619\n1539 8355\n543 12828\n3672 15982\n4095 12645\n12767 14160\n2173 17063\n9894 11972\n598 6002\n3604 9096\n4031 11244\n9469 14742\n1812 2936\n4646 4750\n9651 11145\n736 16980\n14648 16085\n8962 12324\n11729 17108\n13869 16493\n7985 10501\n3521 8338\n9722 14661\n2648 12443\n67 4892\n9404 13296\n7679 15303\n3773 13339\n3476 15102\n5409 10439\n11315 12345\n6551 15955\n11891 16959\n2104 8402\n8024 16040\n2121 14834\n9196 16180\n11642 15665\n6381 13813\n6962 17364\n7642 15204\n10469 15052\n1084 13939\n1317 4993\n5407 10470\n3240 12489\n4091 14306\n11983 16511\n9468 12379\n8897 14089\n8658 11112\n6216 13889\n7700 13711\n10962 12083\n1054 4934\n2433 7293\n318 2152\n4894 8039\n10510 16257\n12891 15462\n10697 13781\n1314 9237\n7354 8945\n4716 8154\n6156 13148\n6944 9673\n2019 11326\n6335 10773\n5045 10031\n1185 5767\n673 4789\n3671 6222\n10036 11378\n13814 15156\n6350 6805\n1728 7289\n6789 15299\n11358 15816\n1893 14025\n8133 10859\n7423 15594\n6664 7764\n7767 15777\n3304 13297\n862 13297\n2571 9555\n4417 16537\n1150 8923\n6448 12167\n4625 9731\n9872 11157\n542 14779\n3605 4233\n2620 9989\n4043 9952\n9517 10221\n1278 1451\n4111 14597\n702 9406\n3080 4908\n8983 11202\n11574 15826\n1858 8574\n7249 10731\n6672 10561\n7266 15734\n4474 7644\n1954 15121\n1860 12306\n651 12175\n4265 14036\n5654 8786\n6585 14235\n1297 11516\n13771 16774\n7706 15559\n9108 10942\n11026 14787\n5488 12345\n2003 17355\n1550 7533\n1802 3651\n6814 13311\n14679 14726\n2857 12873\n1271 5550\n1305 12533\n720 3242\n2940 11498\n4861 15285\n1830 4424\n3363 4754\n11115 13704\n14431 15981\n7020 15203\n15863 17135\n9681 15499\n6211 16762\n5595 13707\n3489 16625\n4422 5815\n9610 15862\n3255 9016\n3726 5059\n1627 12055\n9591 15758\n4982 8230\n12958 15626\n10754 12001\n15022 15383\n12089 15670\n8170 17156\n2758 14369\n3935 6204\n4942 9063\n8656 16536\n1480 7463\n13 1917\n1357 12988\n509 13968\n73 8609\n6062 15668\n11898 16440\n6360 14588\n6483 6952\n3191 6248\n8874 13827\n4567 11515\n7314 7423\n7855 8826\n5618 7228\n11582 14064\n5134 5540\n14546 17245\n11097 11120\n2417 2462\n2376 14792\n3744 14963\n5294 5841\n865 3399\n4714 10272\n2348 16004\n3937 9913\n8573 16924\n6648 8791\n1915 7860\n2184 14468\n10898 11324\n3359 4321\n924 14712\n9471 11703\n1751 16076\n8004 13543\n5844 16468\n6410 9154\n8835 15432\n13886 16105\n6592 13955\n4254 4301\n5915 11135\n1646 12364\n7037 14327\n13116 13807\n7712 10893\n23 11774\n7122 10880\n4422 10262\n4262 8211\n8096 15464\n1347 13757\n6631 10231\n887 7843\n2053 14001\n3473 15678\n1558 14546\n5828 11725\n10857 11022\n1893 6618\n11493 13480\n3074 16950\n3058 4598\n12059 17255\n3024 9965\n1741 5216\n11369 15981\n3125 8040\n36 4149\n6258 10289\n4837 8748\n4635 16131\n5034 10184\n1488 15406\n8039 10380\n12533 16897\n6312 16637\n3838 4369\n726 16234\n3058 7690\n6704 10251\n3657 15009\n10963 13657\n450 9916\n16985 17457\n7806 10128\n179 3011\n429 4931\n795 9278\n13674 17242\n1145 17335\n1811 9617\n10240 13660\n3650 5476\n12408 17247\n6053 10106\n10984 12585\n187 13585\n13854 16277\n8885 15352\n7343 14205\n6227 14421\n9329 10315\n8553 8756\n10886 15379\n9068 14439\n13125 15701\n4303 15456\n429 14311\n4318 6323\n1757 15524\n3342 5810\n633 2248\n8189 16083\n8323 9381\n1370 2846\n5679 8947\n442 17000\n9356 10336\n11444 14295\n3910 7490\n4576 4720\n10877 16713\n1174 3515\n2477 4263\n878 2140\n7604 8971\n2182 4692\n976 16554\n3678 6324\n8643 11490\n4522 5406\n1636 15638\n2962 15386\n6911 9736\n6891 8265\n10613 12889\n2292 13009\n6968 10919\n6661 15915\n6444 13204\n744 15444\n14137 16177\n15343 17104\n10923 12892\n10147 15178\n5386 7541\n9684 14416\n3782 13971\n1750 3728\n5335 7091\n5658 16898\n6116 7383\n2332 11571\n7459 8087\n2115 9492\n4881 7294\n2940 9235\n2308 2520\n7989 9324\n1603 17050\n6458 17249\n14481 17057\n6114 7832\n5485 15700\n4016 6284\n526 549\n4003 4480\n1946 5908\n6975 12001\n7597 12225\n5927 8992\n3353 11056\n5646 16967\n15358 16985\n5306 16598\n752 16712\n10722 14035\n8184 16823\n7522 15829\n9568 12186\n5291 14318\n8422 12569\n7605 11576\n833 6181\n4146 16144\n7242 11998\n1788 14678\n7044 12143\n10981 12512\n4126 10732\n357 16219\n2202 9189\n241 6745\n4126 6318\n10731 14811\n13998 17003\n7378 16506\n10549 14138\n11517 16395\n1119 17137\n5289 9825\n3040 14694\n8424 13458\n6143 15536\n12141 17421\n2270 7009\n1772 6747\n5983 9141\n4384 14431\n3289 3451\n10524 13250\n5010 7213\n13356 16623\n9794 11541\n9517 11986\n2540 16391\n2263 13975\n217 4344\n4098 12493\n1668 12132\n5865 9460\n1587 12639\n2452 11224\n16614 17323\n6028 10340\n4871 12722\n6496 11684\n1637 1930\n5780 12164\n7281 10047\n10224 11813\n3717 9741\n14140 17395\n5309 8053\n5945 12590\n16038 17130\n1561 13125\n4774 10017\n5001 9824\n5719 11727\n5931 11980\n4434 6529\n998 13832\n12437 15998\n8315 16967\n16665 16666\n3275 12532\n5513 9801\n15392 15701\n5552 15631\n11461 12639\n3199 10169\n908 14003\n11212 16493\n11865 16301\n4137 11779\n1213 2360\n8050 8454\n137 2213\n10167 15520\n904 12026\n911 8055\n13561 15394\n3332 10587\n2469 12713\n10705 14019\n5594 10255\n2486 3554\n2343 6862\n4048 9785\n6518 7446\n1318 12336\n5599 17243\n5492 9097\n14984 16351\n9825 15653\n2263 6277\n8425 15073\n10777 13172\n6693 15275\n2246 10543\n360 17050\n12901 17295\n11280 11438\n12381 15130\n8520 12736\n561 10067\n156 12364\n14733 16148\n4817 4922\n4942 6971\n12288 15646\n8939 16735\n5149 11293\n2451 4478\n1946 14007\n206 2144\n3973 7590\n734 7750\n246 897\n3574 14712\n1422 14645\n6010 17260\n12813 13075\n1842 3696\n4761 12626\n10091 17392\n461 5198\n2876 9930\n4066 11322\n16625 17393\n7919 10156\n2903 3647\n13235 15389\n600 14040\n6982 7742\n459 15947\n10797 16111\n6871 9814\n79 7585\n11705 16488\n9795 11424\n563 13096\n1107 3361\n3870 5372\n9143 9466\n1867 11339\n1558 8635\n14982 15878\n1335 3794\n6655 13294\n5525 8828\n6822 8480\n3832 13574\n15168 17401\n7589 8198\n3956 10209\n11051 11216\n8675 16653\n8652 15181\n2348 12221\n15713 15769\n14865 17085\n3573 16594\n1877 15282\n4005 13323\n3808 10697\n5066 5087\n10779 13256\n1233 5995\n6636 10552\n4724 15262\n364 9809\n13200 16132\n1402 10944\n8064 12603\n10344 17166\n4423 16655\n645 1825\n3515 12340\n12137 13907\n7687 11785\n884 13812\n4479 8600\n1643 8363\n3430 10427\n4130 15993\n5442 12134\n5752 8313\n860 5589\n3840 6063\n2036 14450\n386 3318\n776 11521\n7735 13858\n12306 13810\n2009 3848\n6032 8522\n376 4393\n7233 12145\n3019 5731\n9884 16817\n15599 16681\n4328 14721\n5832 13495\n2211 5762\n9068 13356\n10966 15362\n14426 15631\n4786 9895\n120 6697\n5806 15750\n2948 7987\n6008 11527\n4932 5543\n3786 4602\n10784 14533\n12670 17294\n5708 8792\n9939 16865\n11641 16002\n4448 8777\n4980 11462\n2106 15235\n11078 17018\n5688 10334\n10750 12826\n1844 13831\n4124 16238\n11199 16118\n14281 15776\n2745 9489\n8519 10948\n5509 10818\n7297 9327\n5573 14008\n1814 2772\n215 17014\n7985 10773\n4347 10086\n12238 13985\n3548 7329\n7962 13507\n6142 11376\n4637 11281\n9342 10157\n3876 15259\n6077 10001\n11164 13435\n9762 14421\n6982 16606\n11114 15513\n1950 2796\n565 10572\n4991 10905\n198 303\n2529 6098\n10833 13806\n8542 12312\n12416 13502\n7881 13990\n6215 12209\n7844 12963\n10705 11382\n7495 9613\n7788 11533\n7004 15923\n6700 7948\n9039 11343\n3516 16569\n6890 12078\n14384 14759\n1570 7620\n8330 17308\n3570 4294\n3017 14152\n9050 11496\n4172 15140\n3107 5708\n1342 9608\n9818 16370\n10912 15321\n4095 4239\n7963 12265\n4011 12851\n226 10385\n578 7383\n4648 6359\n14238 14562\n1544 4218\n6585 7440\n2502 14004\n2653 10192\n51 11293\n2972 13658\n9713 11504\n1119 3854\n3723 13558\n12080 16734\n1891 3548\n5459 16021\n7846 15392\n2984 14071\n6634 9514\n2791 13834\n12002 12809\n2721 6437\n7191 8142\n1859 8430\n660 14329\n4291 13911\n398 15280\n6387 16292\n1284 15620\n13260 17023\n4292 14120\n4679 11935\n9771 13134\n8557 14555\n10868 11684\n6389 14773\n1233 2904\n3198 15085\n5228 9385\n11073 15029\n2110 15988\n5997 14764\n3521 15375\n5323 13473\n6376 15673\n76 14870\n3716 9055\n5389 9539\n2880 5028\n4337 17220\n2613 16127\n5209 16539\n857 5392\n6122 15398\n1030 1254\n3029 13028\n6739 15999\n14899 16642\n5402 8313\n5535 15292\n8045 15803\n6811 15024\n8768 12449\n10350 17211\n1916 6239\n4913 8589\n2337 17391\n7803 9884\n977 7182\n8168 10764\n2409 16164\n1466 15934\n6409 10618\n12607 15854\n13853 15361\n7055 11135\n3661 13826\n7262 10492\n13633 17301\n2416 5067\n8876 9257\n1638 15389\n1428 13424\n7031 11321\n2019 11507\n5606 8819\n4110 6345\n5711 7247\n12561 15586\n5182 9615\n5070 6722\n10029 10334\n6015 7437\n4458 6376\n508 5519\n11824 15420\n5250 16327\n943 7126\n10815 17397\n5270 7402\n5996 11361\n788 3598\n1636 9889\n875 7019\n7740 14453\n10392 12022\n5436 16970\n3230 6589\n9042 12294\n13189 13252\n4475 9865\n9371 13573\n1119 6639\n650 4671\n718 11090\n10734 14596\n375 10060\n9610 13857\n5194 9655\n2672 15184\n3685 9282\n807 15247\n3377 16564\n5248 11671\n2549 13174\n10261 11844\n246 2537\n4252 15985\n6603 16967\n5227 11922\n16428 16725\n1375 4034\n1122 12578\n4803 5391\n3842 9426\n9104 14217\n8563 12515\n2298 7001\n8752 14863\n3560 5801\n7303 15694\n4620 15571\n8642 10513\n78 16347\n2553 11033\n1257 5258\n101 7632\n2379 4957\n9758 15950\n11901 16058\n1472 12370\n3107 9702\n7206 15004\n9166 11604\n4884 11239\n13544 16464\n3492 4744\n11546 12051\n96 9711\n5555 14620\n10142 11460\n5167 11708\n5650 15626\n14151 15477\n5064 16988\n5532 10953\n1825 16297\n12406 17241\n4408 12453\n1636 8444\n12 14758\n5058 15577\n8377 13914\n5641 12608\n1508 12082\n7365 8928\n5999 12710\n5593 14977\n10184 12602\n11719 13807\n9297 16330\n1372 13701\n2616 3810\n4927 16737\n9008 12974\n5978 15741\n2962 7757\n2610 15754\n5999 12008\n6172 8673\n6201 13226\n5658 9479\n15044 15879\n10045 12257\n2069 7607\n14839 16645\n1614 10480\n1975 2173\n11195 14213\n10046 10947\n5976 13075\n14738 16795\n10327 12413\n11312 12496\n3175 13831\n1017 4068\n3107 4962\n12095 16967\n11497 16548\n4569 10128\n10807 12191\n5366 15546\n1403 2222\n956 13055\n10316 11544\n14007 14490\n2157 14641\n1270 11799\n4654 14976\n9130 15338\n2436 12476\n5712 16444\n7166 14171\n10137 14479\n5108 11236\n2767 14355\n421 8964\n12170 17191\n3242 3937\n905 13607\n5899 7237\n3574 11445\n12396 12806\n15059 16348\n2749 10658\n9808 13541\n1756 16022\n8636 10536\n5131 5415\n7400 12631\n10699 15568\n4965 7011\n5418 11610\n9346 13356\n9682 10904\n8061 8230\n9661 17099\n10687 15413\n5799 16469\n12794 15768\n8537 11593\n8041 14835\n8269 15660\n8399 14129\n1919 9206\n107 212\n10776 12246\n8033 9649\n5166 10237\n12050 16146\n4909 4941\n6971 13753\n3771 4555\n11215 16444\n6312 6518\n1235 8106\n1947 12872\n350 16139\n7279 13030\n7352 11721\n4173 8552\n9415 12026\n1975 16645\n6545 11847\n946 12534\n12451 16546\n9131 9459\n6561 8781\n998 12639\n6018 13188\n15169 16796\n2723 14681\n2738 9406\n565 7435\n15625 16575\n3679 14554\n67 13695\n8387 11451\n5259 7609\n10 15384\n12897 16383\n512 11541\n1461 10469\n3748 3803\n5749 8357\n848 2183\n2584 14850\n302 3293\n5594 9873\n16195 16914\n4786 9877\n7210 15598\n621 3245\n11433 15370\n2123 5713\n8576 11472\n4023 9585\n8321 10463\n9493 14155\n3907 14988\n14302 15500\n5014 17251\n10069 15833\n4374 15006\n2929 15632\n6106 8664\n11626 15542\n9165 14681\n5895 11363\n6116 10467\n6127 17135\n7 12854\n14116 16348\n6831 7601\n7640 11052\n2718 10026\n8530 11342\n1870 7956\n7918 13261\n307 11558\n9478 16734\n7276 8672\n5085 8002\n3070 7500\n4321 12077\n3707 7785\n11949 16535\n3616 17195\n3190 11113\n6538 14961\n12839 16689\n9366 13932\n1314 10012\n11167 17134\n17100 17405\n1008 14025\n8906 16393\n3361 12171\n9534 12627\n5954 16375\n6511 15963\n2331 12521\n189 4406\n10395 13576\n1958 6020\n5032 14661\n5826 16421\n9236 14161\n3623 14350\n3559 12984\n4607 10675\n2791 11248\n10595 17278\n11193 17195\n5653 7404\n14770 15271\n572 11936\n5960 13752\n10640 10881\n10208 13476\n3803 4056\n7225 11629\n3025 9590\n8216 15350\n16043 16231\n1835 15526\n5734 12864\n6378 8019\n7859 12798\n5292 14064\n14453 16984\n9124 9656\n13209 13701\n3735 15071\n6249 16234\n9761 15122\n7085 10746\n2599 9798\n8517 16554\n5352 5742\n4765 14105\n15985 17409\n1328 12755\n11364 12183\n2961 5512\n10158 11393\n5671 15397\n9594 13570\n6244 15910\n6452 11784\n8550 9129\n11632 14123\n5356 10269\n4570 16930\n14 11878\n611 10433\n362 10146\n14828 17054\n4463 15575\n59 15957\n5898 12144\n2659 16387\n419 16157\n5888 12441\n504 15857\n2554 11836\n574 5081\n1438 4488\n1510 2945\n2398 14566\n1149 14854\n209 13354\n3249 10971\n3423 16742\n5849 7404\n4474 5362\n9225 16733\n14120 17276\n5533 17121\n4043 9728\n12406 15507\n14379 14409\n2143 7797\n9702 15033\n6589 8336\n5301 11296\n2653 14540\n216 3591\n806 15647\n2173 3411\n4611 16572\n14411 14485\n6566 16744\n8754 17109\n423 13738\n6602 8760\n361 14654\n9747 14103\n3897 11867\n12438 17421\n13246 13674\n1991 13457\n9111 14781\n4540 14677\n97 1731\n3531 16126\n12026 12399\n4732 4951\n6913 10857\n10682 12793\n5584 7156\n5149 9419\n683 945\n1679 2107\n14229 15217\n6027 14822\n6301 8874\n4026 9585\n1254 12327\n7748 11799\n1334 12023\n522 16095\n12585 12855\n16112 16586\n7689 15448\n11001 11283\n6464 6768\n2698 8218\n3727 14491\n6696 6853\n15474 16778\n6727 8140\n12283 16659\n4550 16865\n4149 7454\n3520 10967\n3351 9479\n11548 16808\n6248 8367\n243 3609\n8843 14479\n10491 11472\n6433 17442\n6509 7949\n2982 13392\n1518 14828\n1903 4692\n7245 14898\n3195 10383\n1645 12535\n2521 12949\n12228 17051\n2900 3802\n6440 13508\n555 14489\n8902 15027\n8472 13099\n178 5873\n8908 14945\n2772 6742\n8348 9435\n4301 10068\n829 13084\n10528 12509\n10422 16685\n13163 16560\n12355 15482\n7865 15182\n14114 15479\n6871 10700\n867 16687\n13031 17035\n3504 7636\n10161 10245\n5440 16292\n9336 10746\n2511 6119\n8482 12418\n2730 15976\n4250 13868\n12326 12723\n2318 15070\n841 8042\n1710 5842\n11075 13249\n2885 9544\n2636 11138\n7456 9720\n3273 12835\n9137 14092\n7990 13486\n13137 14664\n7854 8803\n7662 11144\n1544 5732\n1439 14705\n9603 16144\n9107 12552\n6577 8502\n14392 15847\n9598 14472\n9366 16576\n6176 16641\n12390 13682\n550 3974\n4544 12050\n4735 12682\n2995 8028\n3999 4044\n5252 8376\n10581 13390\n11371 11971\n2353 15160\n5263 7265\n13071 15196\n2077 3857\n2738 15740\n5768 13636\n6018 13580\n1493 15749\n4650 11450\n126 11993\n8441 15688\n1204 13072\n7096 16089\n4570 8530\n2427 14774\n12214 12564\n12172 16764\n5898 13825\n10389 14408\n4421 15358\n9753 17394\n291 11026\n1088 17454\n1621 8318\n517 16078\n2034 8700\n2442 15999\n7692 8081\n1651 9437\n7870 11543\n1762 9672\n2375 3089\n823 3976\n7938 14701\n13354 14794\n76 4014\n3451 8680\n2901 9049\n6145 6693\n8802 10994\n16200 17070\n1306 17375\n3915 7843\n9550 11936\n643 9477\n2857 10591\n4591 15477\n14241 16247\n7465 9941\n7731 13690\n7170 12558\n9282 13147\n5796 15478\n3824 15359\n3641 5294\n6887 11009\n1226 12931\n165 15491\n4766 11005\n2179 8645\n15199 15974\n5214 17092\n5586 10635\n7984 13179\n5157 11442\n7053 15402\n757 17256\n333 15781\n7255 16799\n12126 14402\n9276 14190\n14743 14832\n12865 14827\n3624 13031\n6661 12367\n5248 6540\n2026 10925\n2947 16469\n1229 9717\n8445 13481\n2028 2704\n8124 14078\n4568 6012\n4570 9549\n1368 14973\n8419 17447\n6329 16440\n3814 8182\n3435 13683\n4362 16970\n725 4148\n7105 14569\n3169 7980\n4165 17179\n7317 12594\n1068 16609\n4185 14860\n5081 7286\n2056 11718\n10739 12273\n9126 12227\n10983 11978\n4768 11105\n3355 11097\n9036 10072\n10892 11192\n389 9838\n2444 4108\n1279 13750\n1487 1927\n7516 10023\n1964 13016\n6572 10616\n1109 17301\n7313 10138\n1128 2698\n2688 3943\n3998 4469\n10342 13023\n6276 9219\n3973 7281\n11390 16202\n2580 6355\n2461 4081\n2975 8429\n2955 6939\n9601 11359\n906 15981\n10128 14865\n10837 16424\n5921 7390\n4696 13055\n4014 16141\n13648 16180\n10802 12727\n2798 10824\n15506 16856\n9901 11393\n9034 13861\n15427 16645\n774 3241\n3311 10668\n3553 5960\n136 10077\n376 553\n14545 17018\n2877 13156\n4439 10873\n4677 4762\n5823 11720\n11037 17116\n4659 15014\n4391 16492\n4942 14058\n16430 16718\n3060 15553\n1133 11319\n122 10012\n2781 12135\n12299 17394\n5762 11896\n1602 16951\n573 12370\n2865 10791\n10226 17106\n1168 9065\n7282 11986\n2060 14003\n112 543\n6476 8358\n1816 3290\n5848 14884\n3574 8552\n1797 10995\n6999 13589\n7689 17264\n16201 16220\n8894 15168\n4891 10216\n1329 9929\n12312 15456\n12514 12683\n14097 14410\n954 4406\n2926 10374\n2126 13002\n435 7806\n13554 14291\n8928 12071\n4271 11992\n16424 17375\n4938 14453\n3941 14726\n3162 3669\n10574 16342\n5048 13623\n8619 11048\n2345 7453\n1497 17123\n7068 7293\n12360 14117\n10697 15792\n1877 6497\n12597 14272\n6819 15114\n92 9855\n2775 2923\n9597 12372\n5510 12272\n6444 16560\n5381 16451\n11739 17178\n173 10399\n12268 15173\n6245 12606\n10877 16398\n759 7652\n14166 15566\n1120 2893\n4760 16194\n8332 10398\n7396 13486\n3047 9828\n99 1733\n4818 10506\n13588 15319\n9105 13806\n7558 15623\n9528 9779\n5887 12266\n2078 2954\n9648 16534\n8691 10385\n78 997\n3129 17021\n3329 10283\n8281 9871\n2430 4783\n13074 13254\n10046 10487\n9497 11518\n11030 14063\n6981 10353\n10091 10092\n713 2761\n646 11715\n1882 10696\n14534 16537\n6897 14787\n3975 11009\n2749 5549\n2382 5607\n2045 7625\n8792 16996\n5342 9808\n5819 8588\n2295 10346\n4771 12176\n1376 11299\n8775 16090\n6602 17192\n6711 13474\n7064 14268\n1942 11845\n7357 14410\n3446 12794\n7227 13112\n6975 9626\n4356 8390\n7236 12517\n2166 7508\n2595 12087\n4045 10510\n810 7199\n5196 9567\n3380 10535\n7762 16103\n11482 15232\n1733 6806\n231 2492\n5254 13824\n14532 15568\n13194 15760\n1756 5905\n11274 12406\n9602 15463\n9825 12802\n5896 12843\n1048 15360\n1301 9792\n2528 12801\n12663 14424\n8933 16590\n85 9412\n4024 13364\n1495 4956\n1246 15105\n7412 9377\n11757 17180\n6064 8332\n8493 11458\n8514 14658\n6314 8741\n7134 17369\n1540 5351\n5727 7015\n5231 6352\n4185 15649\n2071 14251\n5276 15308\n12157 15400\n1550 7575\n5989 13419\n6115 10669\n1112 8448\n3775 10933\n4290 5668\n9813 17083\n11476 11944\n345 9331\n4574 8999\n6834 8659\n8572 13416\n4265 13397\n1681 7214\n4580 6516\n971 4066\n3834 15450\n8858 10622\n3927 16858\n3198 15646\n5714 14623\n5896 5929\n70 11572\n12607 16809\n5394 8016\n11268 12402\n5673 16086\n5900 16072\n9904 12217\n4600 9608\n1289 7869\n12405 13655\n6500 7963\n2280 3325\n1608 4451\n5268 11428\n2828 4782\n8856 11863\n5777 13739\n1105 5803\n11221 12736\n9952 10248\n1543 16227\n6488 11285\n6992 13475\n8780 11564\n4558 7043\n4677 7672\n12697 14617\n4671 8298\n5635 15189\n1955 11270\n4903 13897\n13568 16874\n10466 12512\n7970 16329\n8660 16743\n9090 13475\n3529 10954\n13279 15614\n83 10727\n11037 12756\n488 9228\n576 13232\n3485 7053\n2240 17224\n6242 10414\n3470 8156\n914 12680\n12884 17051\n2508 11985\n2793 5539\n6674 11901\n6026 12433\n446 12513\n835 5025\n3071 8717\n3186 6542\n3023 16492\n9148 12840\n187 7621\n376 14672\n9621 14672\n6623 15592\n10271 12074\n1500 17438\n11023 12875\n11147 13938\n1704 4227\n3580 12026\n3956 16330\n2150 4551\n5808 13433\n7916 12781\n4543 11409\n2514 6971\n4447 12882\n12198 15959\n13595 17349\n5649 8613\n1585 7979\n3506 8152\n5529 10008\n3505 5780\n881 4750\n370 9897\n7048 12799\n4578 10642\n7346 16095\n13146 15900\n5029 10527\n4169 9464\n8117 10991\n1187 11795\n12638 15688\n11560 16124\n2971 4290\n5073 13765\n8243 8326\n8900 12600\n3187 14150\n9477 15590\n1347 4214\n1649 5545\n737 10523\n3354 17187\n4661 14080\n7803 11545\n2464 10074\n4379 10507\n2260 16942\n6068 14112\n13943 14552\n6209 6914\n516 7316\n6646 8806\n5422 5595\n1292 4505\n6977 15227\n1602 14651\n9251 10284\n1380 6411\n3604 10486\n11242 15473\n3365 4944\n1339 13523\n3722 3916\n6594 6621\n11430 15807\n4178 7814\n15714 16403\n5596 10180\n9928 13013\n8698 12048\n5323 14223\n3729 13788\n4307 10163\n5957 15630\n8212 9713\n4342 8576\n6290 9399\n12496 12659\n8623 10699\n5127 9613\n12008 13624\n10359 14923\n430 1252\n8129 17357\n583 5563\n6509 11645\n9587 16302\n2791 9347\n5154 8112\n3468 16197\n5808 8005\n6259 8076\n1008 4307\n8711 16899\n6001 8718\n1751 12438\n3103 6852\n8970 11451\n5361 12287\n5102 13346\n8005 15498\n12648 16604\n355 9400\n4359 10251\n1915 3823\n2743 14576\n232 9263\n10903 11089\n13059 15926\n1312 9448\n722 1570\n2426 4216\n2788 12076\n1483 10440\n3669 5248\n108 7173\n1017 16294\n1881 4502\n1215 9492\n9262 15063\n13075 15018\n4022 11994\n1418 16393\n1387 6151\n9910 15908\n12212 13568\n4095 14651\n3044 8553\n6387 12705\n6704 16110\n3319 15908\n6455 17311\n9494 10859\n13811 17440\n9331 11759\n4563 11546\n11337 17282\n4270 12115\n11101 12487\n11656 17110\n5463 7581\n4263 13660\n2449 4746\n2527 4517\n8258 8358\n5844 6920\n278 3273\n1980 4821\n2736 16383\n8948 15908\n7838 13908\n2683 5829\n5738 14860\n2218 9058\n639 14632\n6327 11931\n6338 9901\n6992 11510\n11078 16452\n7940 15085\n7525 16222\n11423 14431\n6326 13133\n1287 17027\n760 16330\n8239 12872\n11646 12653\n10773 13882\n6186 6356\n3652 11580\n1245 5111\n4556 16968\n1947 3834\n4392 16729\n5507 13224\n6137 17332\n3098 5347\n8781 16918\n5693 8472\n396 17044\n13650 15650\n4942 12141\n16146 17032\n11900 15026\n526 13658\n4886 13165\n1068 2815\n2559 3679\n898 9141\n6013 10205\n1814 11586\n137 13890\n12380 16217\n5264 9832\n6500 7138\n14830 15430\n8613 9431\n3408 14258\n12674 14615\n3234 13743\n145 7254\n1084 4096\n5267 14542\n2153 2409\n5541 10588\n1104 2945\n11818 17305\n8081 9443\n7515 16715\n5943 15649\n2181 15598\n10563 13773\n12998 13883\n9761 16666\n1478 15548\n7022 8980\n6386 16571\n9543 11530\n5463 16026\n10273 16678\n11978 13531\n2608 14562\n3404 9980\n74 4603\n8548 12048\n5021 15978\n6273 16481\n3873 12227\n711 10684\n6200 14497\n2790 10572\n2899 7557\n4022 10493\n6713 9115\n9561 16173\n500 15209\n6717 13984\n5445 7432\n10303 17261\n1088 4870\n2550 7608\n6302 10236\n9615 12404\n9325 11661\n3252 15924\n7344 15883\n4668 7979\n5015 5440\n702 12583\n11212 11831\n3724 13469\n1855 6420\n6605 6821\n2395 16767\n3529 3575\n4960 12549\n12847 15147\n7313 15756\n1636 15129\n4292 9694\n4890 14791\n9337 15828\n3635 11460\n4083 14249\n1195 5678\n2031 7899\n4967 12160\n4712 11529\n5742 9049\n4723 13875\n12318 14154\n10647 13466\n6584 12410\n5125 8864\n9912 16047\n7825 9850\n7717 12182\n8916 16816\n1860 16648\n3141 10594\n4642 15605\n503 7609\n14600 15786\n8260 10691\n1289 3430\n7122 7865\n5502 16112\n8455 12871\n2676 4951\n5768 17321\n11177 11414\n7649 15192\n1919 3542\n618 1534\n7348 11405\n6986 13641\n3015 16620\n861 5438\n7296 17077\n3093 7608\n825 16076\n2715 13649\n6159 6910\n7821 8811\n8894 16400\n2890 10814\n16205 16391\n877 15493\n7066 17049\n8700 13832\n5437 8266\n526 959\n12952 17408\n7077 13056\n10363 13883\n2976 10600\n7045 9920\n6104 10645\n2780 8346\n1492 8973\n4045 9452\n944 13527\n687 15217\n377 8842\n1509 13300\n1238 2933\n8564 9440\n10391 10637\n6195 13951\n8176 14660\n10849 11475\n1782 16048\n5294 6037\n4610 15036\n3351 13152\n4746 10786\n3074 3412\n7853 13525\n8714 13344\n2504 4025\n2206 16688\n6656 13429\n859 7392\n15000 15831\n3226 9754\n11969 12160\n3200 14104\n3699 11144\n5387 11121\n2905 6267\n6325 8546\n8857 9975\n2314 4879\n6182 9263\n1019 7738\n6215 9110\n304 8021\n5078 11307\n165 11727\n3726 16021\n2482 5569\n190 7586\n4311 15821\n4332 5273\n8191 8724\n777 5668\n6955 10747\n1643 13854\n1618 16455\n4826 4977\n7330 14426\n7380 17080\n3012 10577\n8623 9353\n8152 16848\n616 6865\n2377 15658\n7172 9880\n7290 8933\n8978 16546\n11646 16099\n13643 16339\n2302 12257\n2888 8316\n7657 11350\n2369 8954\n3211 10673\n181 13609\n6043 14198\n6877 14224\n1927 13595\n1426 3287\n6327 12359\n7876 12707\n3191 3359\n11052 14726\n1542 15631\n4848 8716\n8219 15250\n1157 9418\n2124 7335\n6703 11305\n9651 16153\n10101 16142\n778 5502\n3008 7579\n6602 16502\n1853 4534\n4540 6309\n8522 16354\n4165 4344\n6180 16414\n99 16398\n12338 16343\n2794 9177\n2615 3211\n5145 12531\n4868 10699\n3111 6245\n12516 16980\n10851 12100\n7406 14869\n15821 16628\n2612 5733\n1316 8700\n12312 13773\n12790 14702\n5943 8999\n4279 15405\n1509 16258\n10479 10639\n8000 9229\n6887 8354\n4279 13529\n3551 12492\n1016 16694\n3117 3973\n10655 15403\n8424 16891\n9147 15344\n3625 7631\n1726 15799\n7399 8212\n5010 12584\n11327 16574\n5074 14277\n12103 14779\n10723 15164\n3462 7556\n6772 13966\n13902 15471\n14758 17268\n12453 17024\n4266 5729\n4693 15663\n1299 13893\n437 12790\n1504 1752\n2936 9979\n6668 14436\n8703 13980\n2817 8060\n2926 14825\n7468 8999\n2675 15454\n2135 9838\n10593 15963\n910 13860\n7525 11604\n7153 9053\n9602 9861\n1276 1581\n13853 14914\n10005 14734\n4042 15346\n1441 16526\n640 1405\n3993 10567\n1416 12618\n3784 4406\n10377 11337\n5337 8591\n11052 16581\n11943 14565\n1022 15898\n7888 10471\n13562 16928\n15427 16554\n4742 14834\n13503 15208\n10473 15284\n7652 10347\n10433 10809\n1413 6793\n3251 12352\n5505 10418\n5241 14304\n9775 10736\n5731 13705\n2270 16769\n3806 6475\n2595 3531\n7742 15507\n5952 17197\n14936 15411\n4425 16916\n2182 2973\n4655 6538\n6994 7005\n872 11136\n5370 6348\n2871 8276\n7415 12967\n688 10850\n324 4092\n9729 14293\n5032 8386\n16340 17429\n7298 9695\n2777 3812\n9355 11861\n11325 16415\n6812 17086\n3472 15371\n5558 16636\n356 3881\n8584 10897\n5385 10337\n6711 14303\n1315 9242\n1823 10016\n510 2096\n2887 9132\n5676 14188\n5324 7955\n66 7322\n1574 14818\n11535 12737\n4457 11285\n2750 15206\n972 15453\n4689 17225\n7880 8906\n11793 14255\n9843 15813\n5202 10298\n5433 6085\n590 12390\n12533 16821\n4220 5590\n9724 15552\n3843 13912\n8690 16388\n1181 6270\n11741 15530\n9171 11618\n12792 14511\n4248 13144\n1959 4080\n408 3032\n583 3486\n11064 12919\n2716 8205\n1559 5839\n1034 13924\n8768 9866\n1124 13839\n511 7738\n2135 3561\n11497 15648\n7857 15916\n5262 8308\n8490 9664\n577 2273\n1689 2632\n1370 12389\n4756 12815\n11328 17211\n8549 14045\n1828 6523\n1847 4329\n1678 9623\n4155 14580\n2189 9231\n466 12554\n6079 12109\n749 15369\n3691 15893\n1744 14791\n4856 7965\n2501 7230\n10820 14482\n12328 14255\n6906 14552\n4440 14856\n11196 16915\n13675 16647\n6972 8138\n5063 11997\n53 16784\n10275 10764\n12791 15519\n8017 14722\n3832 13297\n436 9743\n9829 12616\n12117 15619\n2006 3620\n499 1927\n464 3999\n3626 11419\n4516 12520\n4834 15739\n3138 14640\n1758 14906\n7335 9268\n3486 6676\n7396 16271\n15207 15630\n14081 15900\n1473 10419\n6872 14974\n1369 10508\n1688 6483\n5451 6754\n10381 15606\n2602 5679\n97 172\n10047 15241\n9298 9892\n1141 5974\n11731 12816\n439 2366\n6046 15226\n1698 4691\n1671 13920\n2777 11715\n2169 9350\n3737 7753\n14709 16678\n245 487\n3002 16822\n4240 12628\n8232 9859\n600 11068\n501 9189\n3012 12746\n4102 7313\n5073 11903\n8283 13837\n7832 16549\n2741 8125\n10789 13867\n5626 15312\n3562 9827\n1070 3667\n2281 15917\n3602 14344\n1278 6257\n7693 10889\n9578 14863\n2936 5875\n8370 12265\n6039 6382\n7946 8381\n9004 14570\n49 12107\n855 3346\n1992 13602\n5064 5458\n12637 15974\n3526 13242\n6407 13867\n5873 11502\n3301 9923\n9902 12256\n4513 15465\n2243 5247\n3920 12239\n323 7048\n2008 16440\n3074 3889\n1622 12705\n9596 14426\n9325 12623\n7714 11492\n5297 14780\n2075 2967\n1407 16763\n13383 13997\n1571 12133\n295 5620\n9071 9758\n1570 2193\n4185 13022\n477 3172\n5569 16835\n3142 10219\n10957 13168\n8265 8644\n755 7152\n10713 12259\n10594 15920\n27 14578\n3681 12919\n957 12370\n1681 16408\n12088 14192\n2173 10074\n5108 12815\n15917 17455\n4676 16837\n2588 13805\n2646 16725\n11068 13637\n10149 10170\n672 1023\n10707 11671\n1510 6361\n4436 10589\n9140 11007\n11822 16867\n7057 17351\n6288 8531\n6346 15479\n4436 10798\n2512 12843\n1967 14180\n5048 16566\n13463 14779\n2684 9241\n12039 14237\n7302 16730\n5826 11986\n2552 4377\n1454 7535\n3253 7293\n3381 17249\n8025 17182\n2145 6235\n1628 3738\n2505 8777\n115 13413\n5963 5986\n5054 14887\n5325 11472\n821 17124\n1441 2903\n8162 13595\n6714 16334\n3105 6379\n582 5729\n2072 10896\n8311 11016\n15055 16169\n3273 7549\n1222 2749\n9231 10988\n1632 13880\n198 14178\n1010 7202\n1259 9546\n1565 4237\n6700 8292\n13657 13903\n1345 17286\n4179 13663\n9295 17003\n7186 10212\n13346 13381\n9453 16793\n2885 8937\n4926 8611\n3437 5407\n1572 13145\n8053 9097\n14900 16458\n10636 14892\n667 995\n639 15885\n5779 8972\n12353 12509\n10352 16551\n12175 16976\n3291 4171\n7757 10570\n3441 13460\n2320 16733\n3471 12167\n855 3730\n5339 16799\n2215 8261\n14035 16720\n939 1320\n2331 16101\n7759 15526\n1624 7283\n6703 11691\n4772 15144\n7756 10163\n9270 9635\n4269 5205\n1880 6421\n12981 14241\n438 4633\n1906 17350\n7230 12235\n1397 15162\n11662 13126\n8405 15056\n4803 8189\n743 11784\n2355 10583\n754 13447\n562 3290\n871 917\n1805 6092\n6435 9704\n3912 10322\n3902 5701\n2492 5682\n14632 14665\n10408 16618\n9153 14221\n6070 8477\n2654 15447\n3459 5862\n2682 6503\n2089 5988\n8273 16331\n2686 14968\n6764 8745\n9819 14948\n7243 17045\n7833 9712\n2135 8662\n766 9296\n4202 15210\n5703 11245\n7210 17162\n842 11789\n15422 15874\n8024 13346\n12684 14988\n743 6831\n12604 12912\n943 12463\n6414 11026\n11903 11960\n9912 16796\n9845 17304\n2621 10531\n668 2137\n3586 5718\n9609 10580\n1985 8737\n1157 15093\n3851 9316\n3621 15481\n7581 14385\n2166 7023\n1260 12441\n3522 13932\n7168 8559\n3486 16876\n7559 13561\n3359 11533\n2827 10781\n7699 7891\n3847 9443\n4528 15285\n4230 13776\n10089 16979\n4208 13918\n10113 13681\n5445 10566\n7474 16496\n9466 10725\n12249 16262\n3262 4764\n1125 14144\n11919 17191\n4730 13788\n9232 12209\n9337 15630\n13450 17366\n13121 14902\n10495 11494\n1196 1441\n4048 13235\n1929 2251\n6551 15323\n4478 16279\n8763 16807\n4070 6775\n5095 16595\n9228 15625\n4503 5737\n11859 15785\n501 553\n15234 16170\n5752 10471\n8655 11834\n3758 14466\n7641 15269\n2518 14954\n1456 10761\n157 5495\n934 14274\n4384 13343\n3907 9143\n2157 10626\n11910 12294\n3147 4332\n8805 11473\n15025 15429\n1971 6795\n3894 17134\n5355 8677\n11278 11838\n7876 15092\n3769 5836\n5952 15613\n11803 14033\n3243 13001\n3034 16798\n4734 11012\n6287 14797\n2536 8244\n865 12403\n11412 13274\n7321 12463\n842 6774\n11171 16965\n1814 16385\n1315 17106\n4065 14459\n1738 2017\n1986 13139\n15906 16993\n7093 13058\n2254 5625\n2846 16741\n1745 13408\n2107 13455\n7273 12055\n537 17224\n14518 16587\n543 14181\n9690 17128\n339 7538\n2817 14890\n3832 7160\n4160 16064\n3596 6166\n1270 15350\n614 10332\n4601 11253\n3187 8118\n1424 4456\n5070 9493\n2775 13973\n11444 12737\n2470 9795\n6254 15397\n1340 13150\n772 10949\n10286 14539\n348 9495\n5752 6011\n8911 11104\n14975 15476\n103 12007\n3001 4532\n11961 14320\n8444 12428\n8138 13523\n10164 14849\n968 10810\n1657 12176\n2856 13294\n3341 11412\n14903 14943\n12543 13003\n7641 14205\n1417 13373\n7954 9377\n3721 4949\n2855 16493\n8092 16926\n1234 11493\n2780 16458\n698 9177\n921 5277\n5938 11167\n15519 16518\n7685 11008\n9102 15129\n1149 4965\n13932 17252\n5707 9011\n2932 9386\n4637 8390\n6301 8316\n3596 7569\n11758 14408\n7268 12465\n2399 5086\n7974 8141\n6718 8823\n9518 16889\n521 2345\n6375 9591\n2650 11917\n137 3645\n4927 4982\n9726 11682\n6022 9133\n4173 8786\n11182 16257\n11754 15510\n6945 11361\n4669 5159\n1020 1805\n10597 15753\n12199 15276\n1486 9978\n12226 16000\n9169 12571\n8583 15774\n48 1687\n5474 15965\n865 17404\n8049 14807\n1321 3559\n6379 12880\n7051 17402\n3471 12583\n3872 7856\n1576 13420\n2263 13445\n9625 12965\n3803 7520\n3696 15793\n7149 10411\n3864 9957\n4825 11902\n2857 8389\n14734 17135\n6412 7923\n6090 14396\n3319 16421\n6314 13602\n6477 10030\n727 9294\n8539 17195\n1497 11461\n7673 10997\n5172 14936\n11068 14086\n10753 13189\n11797 13257\n5516 10661\n17106 17396\n3258 10825\n11376 16814\n6742 7955\n14563 16224\n5646 12404\n4507 15005\n8222 9765\n9030 12052\n8403 14557\n2574 7113\n2902 15677\n3640 6714\n3571 8291\n5329 11320\n3652 15349\n10426 13785\n738 1731\n11742 16988\n12452 12778\n8978 11762\n914 16096\n9235 14573\n775 14788\n10116 15965\n3008 7304\n13777 13876\n245 11037\n2583 4724\n3257 9335\n6899 15283\n3904 16874\n2874 15355\n9381 12787\n5910 14989\n2085 15945\n2757 4749\n6642 11458\n4077 9059\n4208 5851\n5983 9499\n11728 12426\n10269 14363\n439 6199\n1961 15134\n5703 9996\n12684 14498\n1615 9677\n2046 12058\n460 13538\n3363 7683\n10035 13767\n13852 14277\n2314 4183\n4146 5835\n8518 13295\n5585 17457\n987 7433\n333 15478\n5456 13294\n5836 11410\n1469 16953\n1301 5370\n4531 15414\n1083 2451\n1462 12845\n10690 15368\n4105 11341\n9915 10088\n3295 9672\n3753 13474\n7277 13783\n10650 11610\n1395 5607\n3048 9403\n2015 10017\n9909 10319\n12775 14375\n8587 17026\n8912 11103\n10696 10957\n2233 4068\n3068 7651\n1857 17081\n3094 8008\n6166 14332\n2547 10327\n11723 13924\n3696 3750\n11467 15106\n1132 2020\n8509 11131\n755 9118\n5584 9636\n3986 11244\n1426 5369\n14030 14311\n5462 16830\n7001 10373\n9138 13434\n12834 15363\n12324 12533\n1317 9024\n6423 14114\n3512 14696\n5024 9008\n13324 14122\n4516 12286\n12749 17061\n9332 14452\n5165 16861\n319 12172\n4760 15435\n12899 14237\n10871 15890\n328 2924\n10803 16433\n7851 12864\n337 3605\n2078 14774\n1602 16088\n5151 13062\n5450 8950\n1051 15335\n1033 14159\n5300 9255\n6192 11460\n16128 17254\n2916 8864\n10790 16042\n862 4196\n8352 11403\n2398 3154\n9320 12202\n6994 13910\n3707 6486\n5315 7773\n3295 10931\n9484 11627\n142 12613\n15386 15426\n4900 15393\n3991 6392\n7987 10391\n1289 14862\n9919 15242\n6197 7781\n9135 14551\n4178 9895\n11085 17230\n7369 12863\n4764 9603\n14195 14235\n8484 12787\n6619 15955\n4440 16885\n2605 2791\n4552 6239\n1807 15130\n6681 9935\n3898 14722\n3902 14472\n11241 11914\n8028 16575\n6716 15113\n5857 10711\n164 9599\n6965 11584\n678 14193\n4162 10011\n2599 3143\n363 1976\n11297 12677\n4449 11284\n3109 10587\n12303 15526\n7807 12243\n739 11310\n284 11735\n2624 7873\n11062 15605\n8937 14877\n4693 15806\n5921 13894\n3575 6477\n8138 12653\n6274 10385\n12056 16099\n1296 7522\n11381 12826\n4282 5384\n2511 15106\n6332 9429\n8844 10645\n1012 14688\n8682 12214\n2408 17285\n10917 15473\n10353 15673\n9974 13549\n7087 10236\n11945 14258\n5308 17170\n1183 3569\n6217 11797\n899 5236\n4193 15902\n7784 8801\n1760 16237\n12864 15270\n5527 15526\n7671 12832\n2289 13096\n1636 3464\n13262 14781\n346 14985\n2198 9336\n12281 16484\n4947 14623\n11339 13361\n4932 15882\n5671 10921\n5258 11884\n798 2355\n2319 9837\n6195 16379\n1812 9617\n13563 16188\n1147 4187\n7737 8524\n13011 16792\n5436 11831\n8820 10523\n12910 16835\n2627 7795\n7989 15522\n6038 14582\n5099 14673\n3211 11112\n1630 4304\n2467 8615\n51 7513\n6452 10846\n3620 9413\n2141 11752\n2778 14205\n4362 7771\n13801 14118\n13487 13985\n9148 13440\n2165 3288\n4011 9848\n7006 14912\n4376 6316\n5695 15879\n2535 16485\n218 7402\n16048 16636\n8337 9346\n2973 4356\n6069 16164\n10528 13737\n6056 12958\n9693 14099\n11618 16857\n5161 15606\n14512 15242\n13399 15268\n8529 8968\n13733 13811\n1466 1876\n82 15914\n6008 14956\n1904 8550\n854 8260\n7829 13528\n10387 13152\n7101 7265\n1134 11627\n11538 14823\n2147 13513\n12898 15560\n2243 13663\n3875 14721\n8430 14195\n5492 17037\n4080 13538\n3597 13171\n13107 15651\n8425 15422\n7183 17310\n7173 9936\n102 5859\n8505 14710\n9230 9350\n5011 17188\n12321 15845\n8199 10003\n1902 7121\n7636 10976\n1082 10175\n10608 14451\n4801 7370\n4713 5630\n12248 13703\n744 8259\n10589 13143\n1788 16950\n1841 8624\n10245 11513\n3053 7226\n3077 14761\n2763 11289\n7464 13404\n11887 14918\n13413 16181\n7641 11004\n2471 7481\n299 7725\n2165 10813\n11539 16471\n6737 9640\n4380 9653\n9846 10314\n8336 17340\n12712 14595\n850 12768\n2981 14895\n6624 13218\n3701 5161\n1405 16282\n213 11399\n1084 11025\n6622 6794\n4516 10405\n3690 12689\n10093 12066\n5827 10327\n8862 10258\n2220 12024\n3593 15923\n12849 13863\n10261 12522\n9896 16147\n3287 6836\n7056 9738\n8757 12891\n5460 6778\n1562 8402\n16718 16809\n2852 16741\n6088 15478\n8785 13223\n7111 9375\n4382 7210\n11365 14321\n11643 16062\n9416 16535\n10397 16860\n9397 16422\n8617 17317\n6668 13922\n5703 6883\n7541 15962\n6653 9783\n8809 14766\n3807 6941\n3048 8698\n1669 16739\n13613 15067\n271 15673\n10958 17025\n5706 10536\n4516 6250\n793 5572\n9168 11510\n3686 16928\n5315 13271\n6568 7722\n1817 14506\n11424 11661\n2483 15569\n2970 12466\n7024 8492\n8095 10981\n2650 2884\n1318 5711\n5819 6176\n3950 12133\n6317 12045\n4802 7546\n2775 8152\n3051 14556\n11808 14776\n11813 16917\n10815 15574\n3690 16764\n6957 12963\n10415 15991\n5504 10816\n4020 10318\n10868 16686\n3210 10462\n7466 12840\n6532 13612\n12864 14500\n9457 13085\n1144 3576\n9808 17397\n13851 14306\n10947 16176\n1782 11867\n9608 10410\n6010 17133\n2038 15190\n2895 5967\n6908 7526\n13098 15137\n14731 15230\n3555 16758\n8331 8564\n6702 10812\n13309 14800\n4983 15899\n1158 16745\n5460 16275\n7205 10329\n9742 10416\n2805 8023\n1423 8787\n954 13560\n11427 12021\n8010 17365\n10529 11597\n14071 15058\n1573 16612\n5272 6974\n1434 6197\n129 13120\n9176 9475\n3344 7553\n877 897\n3575 7045\n9313 14818\n6741 8648\n13526 15449\n2315 14835\n3157 15000\n10110 13749\n5151 14697\n11272 13848\n9607 11782\n639 13128\n6854 13777\n798 3635\n2614 13806\n3420 13246\n13771 15370\n7600 14659\n6421 7624\n8557 13423\n599 10151\n3574 9860\n11846 13594\n7895 11619\n4318 15642\n432 6581\n137 2955\n7273 15931\n3023 9146\n10626 13410\n2002 4235\n7910 16237\n8936 10016\n7096 16296\n2152 16173\n14374 15687\n11346 14275\n13090 14579\n6842 17358\n11083 14892\n8645 9587\n2105 7863\n501 11125\n2555 10055\n2748 15951\n9328 14870\n4475 14962\n829 12407\n10574 16882\n5809 13321\n10120 16137\n2311 14632\n8119 12789\n6880 13852\n2308 15583\n7388 13261\n289 12866\n144 14895\n10559 10781\n470 10532\n1737 2272\n9155 11367\n5538 10407\n1879 4336\n6558 7318\n2437 4665\n10226 16109\n3904 10398\n9515 10357\n7983 9853\n3880 6286\n1312 6047\n6493 11649\n3522 8686\n3223 7200\n3737 6103\n1400 11382\n9461 15312\n9922 11753\n5429 9965\n11159 11437\n2399 9456\n1359 3864\n4408 7858\n10307 13151\n7506 10818\n5536 13616\n7374 11995\n2344 2709\n12171 14089\n13630 17107\n1568 2124\n2003 5214\n7872 9292\n9741 15433\n6764 6982\n10323 16798\n2995 13369\n1466 13158\n6333 14718\n6552 16007\n2316 13052\n14992 16259\n12165 16561\n1828 5943\n4464 5123\n10268 16264\n6889 9426\n1242 10870\n5755 8459\n4636 6756\n3264 16543\n11199 12200\n1165 13089\n7979 15312\n120 15411\n2907 12976\n1638 8958\n4967 13065\n3119 8399\n12290 15431\n10127 11598\n6590 10208\n6592 14943\n1259 3660\n3586 8537\n2986 9147\n8937 13956\n8624 13955\n4031 17123\n4462 13677\n166 10398\n3708 10816\n5105 16338\n5374 6469\n1001 14739\n4412 5870\n6845 8493\n4764 8034\n4500 5464\n6163 14341\n10209 14998\n2942 4732\n6259 12714\n10651 14792\n89 1744\n8107 10999\n2518 6308\n10564 12095\n3431 6185\n11610 14887\n6888 7740\n15262 15353\n9828 12468\n5201 9850\n6743 10098\n7572 13006\n5909 9181\n8092 13445\n2693 13826\n7224 13935\n7135 16207\n1453 5209\n4402 15614\n146 15369\n878 6320\n377 5680\n11040 12498\n3767 4657\n6188 15023\n1860 11947\n2966 5749\n8331 9233\n1802 9348\n5681 10385\n2808 3713\n3938 16788\n1071 9869\n9771 11547\n7102 15577\n5317 15926\n1179 16960\n3819 4956\n921 1897\n60 15240\n439 11833\n6031 15008\n1314 1583\n4017 17395\n6602 15667\n11258 15681\n996 16650\n12855 14277\n7878 10757\n7628 9371\n3399 4810\n2756 3496\n1817 11505\n1000 17045\n8698 12649\n1574 1701\n7866 12311\n8573 15209\n7792 10662\n2770 11798\n5626 14117\n5273 16827\n3644 5446\n5 7589\n6494 14712\n6162 13825\n6622 10344\n7259 14340\n568 6275\n2555 8715\n7312 12946\n985 8644\n13282 16379\n601 5514\n632 9205\n7538 10627\n2219 12869\n1331 2664\n3986 4446\n2778 7888\n11079 16180\n1098 12196\n11581 16923\n6574 17246\n2393 3484\n7180 13027\n13245 13759\n3252 16347\n4242 15737\n3358 8584\n328 17081\n1986 10294\n12326 15706\n5537 15222\n3022 9152\n1064 3298\n6533 8068\n14012 14596\n3374 9743\n6024 11313\n9137 15542\n9422 17133\n14361 15750\n1691 9377\n12629 14026\n1805 11464\n6742 7846\n12500 13688\n2906 10090\n1883 2461\n8230 15282\n4241 16027\n4432 12366\n15353 15520\n5968 11769\n2921 4943\n5192 10631\n7415 14566\n3952 14092\n2981 16306\n1115 9865\n6875 11926\n7691 12030\n7353 16328\n1765 7355\n2945 16945\n7037 15588\n11927 12773\n8055 17005\n3940 6415\n3520 10513\n1250 6188\n553 16450\n5237 9617\n2753 17125\n4661 7184\n6485 17047\n8343 13808\n5056 12868\n3229 10467\n5738 11582\n12580 17246\n8388 14938\n7233 13471\n5394 12956\n8528 17193\n497 11003\n13949 14999\n2397 9828\n4878 16137\n152 14868\n3504 12614\n9919 14543\n7086 14495\n5245 12796\n10945 15117\n1960 13044\n9922 14170\n10646 16527\n10310 16091\n2625 7890\n6944 10226\n8279 15183\n10179 13215\n2270 6053\n180 10621\n6997 10018\n6695 15052\n7258 7657\n709 14809\n13911 15015\n5755 17418\n4789 4825\n2922 15481\n11991 17428\n10014 14883\n6069 16042\n2673 4310\n8366 11085\n8080 10372\n10512 14744\n538 6321\n7930 12430\n7373 16751\n7104 7701\n6349 13722\n12769 12953\n1861 4306\n14159 15756\n8499 15770\n2302 14114\n3986 5790\n13095 15891\n1835 7499\n1918 10244\n4748 16963\n13786 14934\n5027 16045\n2130 2592\n8133 16125\n13637 16244\n10758 11421\n1420 10682\n2004 13705\n4742 8198\n6578 11235\n356 5019\n892 8174\n14990 15525\n929 3105\n4605 16780\n4866 13605\n5849 7635\n3493 6171\n61 653\n6967 8676\n8070 13980\n1034 15764\n1990 3476\n8077 9694\n8159 9323\n1569 7751\n1545 12835\n4465 12794\n12238 12595\n2708 9662\n8342 16871\n4455 9227\n7609 16415\n5995 11757\n1965 7741\n1255 13857\n10706 16813\n130 5250\n2515 9008\n12952 16667\n9352 16093\n6608 16447\n9027 10469\n14436 17379\n12245 14499\n1021 1595\n1865 13056\n3672 8712\n10128 12694\n3191 10836\n3903 11676\n10237 14854\n4968 13631\n2710 2992\n9944 16124\n3461 15044\n6810 15928\n8966 12212\n9800 15177\n9301 16401\n2249 17430\n12818 16595\n4591 6656\n13505 14908\n2857 8479\n5331 12602\n2925 3665\n235 12456\n9193 15573\n4333 11023\n7071 10092\n5286 5681\n4310 14384\n85 12755\n1531 13577\n3584 7948\n762 12453\n7053 15375\n4493 7173\n10048 10836\n4086 6084\n6399 14785\n9338 15174\n9255 12632\n309 12560\n8106 9027\n11262 12260\n16179 17283\n1642 9681\n372 10749\n1799 9993\n7013 11058\n3956 5524\n7684 16931\n6042 10180\n7070 15114\n2392 15206\n7210 13352\n891 3790\n7132 12631\n3421 15308\n2503 13895\n236 16795\n2247 14954\n4866 13764\n1261 11890\n2071 9474\n2022 12956\n3839 14273\n7454 10141\n10942 17360\n200 14385\n8524 12878\n5475 6592\n4625 6098\n1044 16669\n3852 12522\n5128 6147\n1024 3982\n3473 17361\n16042 17056\n9512 11804\n3369 13422\n6254 7817\n11423 14757\n11968 16834\n5104 12858\n10703 13273\n4775 11492\n961 5000\n10895 12103\n12857 15690\n9947 10629\n9699 11512\n4882 9315\n6260 13865\n15065 16799\n2798 4943\n6085 12078\n4004 13295\n1455 2692\n7598 13500\n3285 11665\n1629 6023\n9374 16036\n5040 11032\n1659 3666\n6096 10262\n4115 5895\n2921 14442\n4491 6273\n5497 7840\n2578 15983\n7728 15661\n14134 16825\n250 2453\n8061 9133\n1002 11590\n3258 4203\n3535 13181\n12867 13675\n1291 4148\n883 5455\n5760 12549\n3685 4704\n158 7793\n7263 13815\n812 14910\n10615 10993\n8811 12062\n8916 9487\n4421 6334\n1832 12753\n875 9428\n5479 17204\n5319 15427\n396 11937\n3329 15476\n10407 13445\n4108 16210\n2025 5172\n1093 16029\n6184 10127\n10777 15639\n847 14822\n3366 7441\n6 5060\n1637 13997\n6066 11539\n8642 14507\n11714 15441\n10955 13539\n10209 11099\n12427 12496\n11272 14527\n9445 10536\n1826 16987\n5888 15657\n10107 11753\n2544 4070\n10597 16904\n4063 6227\n9282 17142\n11708 12343\n440 12989\n5267 9407\n2169 16035\n40 823\n5712 16919\n5258 11940\n2418 6888\n799 4145\n13991 17072\n8973 9236\n2 1960\n9236 13215\n1866 16718\n4616 15214\n285 13518\n243 9592\n7088 16996\n16423 17428\n6394 8880\n1088 11577\n1732 6068\n674 11767\n1037 14611\n1425 4399\n3767 11138\n946 11440\n3066 8385\n5373 13190\n4031 4870\n9924 17141\n10387 15318\n8708 14602\n5581 7752\n9575 11221\n466 11713\n1871 15859\n1998 3290\n10574 12477\n6135 6773\n8609 11870\n1784 8853\n3186 5371\n494 15389\n3455 9032\n7689 9829\n11281 15673\n5976 9947\n10545 16693\n2186 10404\n3290 17219\n10668 12158\n593 1994\n5021 8528\n4131 14722\n9233 16098\n9704 10464\n10822 13657\n169 255\n5124 16022\n1355 15357\n13132 16865\n8486 9428\n8277 10177\n6236 11082\n3556 5466\n7335 8222\n14836 15339\n11368 14454\n6982 8799\n9863 15838\n3086 4221\n9917 16744\n8060 16903\n267 13439\n7342 13236\n3549 8553\n7034 14843\n872 15532\n5272 9832\n5050 10065\n1704 3018\n16155 16227\n4947 14377\n13923 16043\n6634 13211\n3380 11823\n3732 14330\n4092 6218\n9223 15711\n4591 11725\n10477 16835\n585 7014\n7749 15337\n9505 15180\n9588 11514\n1088 12936\n2289 10670\n4180 14602\n8358 9200\n6840 15189\n10292 12080\n8212 15596\n2072 4182\n11017 11721\n2076 3072\n900 5994\n3082 12179\n3491 10577\n4278 16703\n10614 12756\n5491 5552\n1066 16955\n5131 8251\n14564 15558\n8306 12469\n9037 9432\n1529 3665\n631 1982\n8236 15520\n7353 15186\n3959 16145\n5969 8530\n3706 9560\n3583 12058\n3432 6772\n8098 12251\n12066 13285\n1643 10758\n4541 4805\n2224 16593\n4233 7509\n10199 13461\n151 1937\n6293 15752\n895 12709\n268 12137\n1859 4170\n7682 15116\n13115 15991\n1058 10696\n137 17461\n866 4497\n2940 11951\n11194 13307\n5647 14395\n4638 8195\n522 2761\n1627 13653\n434 8904\n1969 7338\n1481 8825\n11773 12268\n879 13067\n14443 16045\n13488 16877\n3668 8427\n2556 11007\n5590 5640\n2040 13618\n573 5897\n9741 15391\n6536 14902\n3527 10592\n7368 16594\n13934 16687\n5893 9497\n4994 11836\n5499 7416\n5557 13989\n5934 15499\n5339 11900\n13668 15009\n15483 15736\n4599 16802\n7176 11966\n2412 12707\n610 14056\n3982 6442\n8177 17234\n12160 16038\n909 2163\n3501 9814\n99 12744\n6162 12505\n609 11943\n3597 9598\n4283 4906\n2346 14740\n6185 13045\n3087 4276\n4696 15429\n10913 14181\n4822 8547\n13650 13946\n16059 17341\n1898 14608\n12949 13181\n3906 12236\n4834 8165\n2858 6094\n5611 16715\n5129 9304\n3323 5984\n4157 6488\n9258 13385\n4683 4957\n1301 4307\n3211 5064\n12592 12897\n9873 17293\n2459 5434\n1758 15377\n5944 14454\n15916 17062\n6847 15769\n11025 12632\n1503 16329\n4731 15774\n5331 11975\n2256 10643\n6398 16210\n7647 11291\n5048 15147\n9871 15684\n2386 2777\n7788 13510\n2188 8941\n7129 14581\n9793 10884\n3640 17164\n7694 15347\n5672 16952\n2543 16706\n6139 12700\n3301 13552\n6248 7170\n9373 14379\n3487 15420\n5055 17031\n14088 16747\n4792 5892\n3359 3608\n22 11128\n473 11807\n3031 4378\n2516 14910\n3048 5907\n1011 16908\n8638 16670\n4760 8332\n8086 13290\n9594 14030\n7771 8803\n2025 16080\n9342 11023\n6871 13229\n8712 9122\n2623 8152\n5147 9132\n6655 13269\n9257 17457\n9471 14693\n2975 5615\n14220 14767\n1107 9318\n228 4702\n2527 15665\n10131 13463\n11391 17430\n8221 16020\n7132 7838\n11273 15862\n17024 17102\n3333 6935\n11829 14662\n4267 9978\n15976 16540\n8233 14889\n6445 6668\n6164 13604\n164 11542\n2306 17233\n2848 15679\n1765 13310\n2391 6668\n4576 17219\n13473 14496\n296 2765\n2068 4677\n5160 11652\n5234 12657\n9916 14940\n2757 15679\n11788 17214\n10192 11319\n688 8991\n2786 7831\n3810 17294\n15764 16052\n1300 10936\n4014 5457\n1712 1833\n1928 6965\n4107 17311\n10261 14370\n10889 15053\n1909 2129\n933 2492\n6371 9269\n3331 4177\n9918 16360\n3381 6137\n10631 16720\n6299 8413\n231 10612\n6974 10228\n9021 10739\n228 11082\n4176 4686\n13786 14660\n4664 9630\n13137 16165\n3823 8472\n2710 14448\n8895 9459\n12967 13949\n10453 11376\n7747 14001\n12159 15809\n5079 13625\n4339 14558\n2976 12500\n1800 11228\n13247 16008\n169 11116\n2806 16661\n4207 13704\n2657 10321\n8451 16456\n524 1502\n786 11017\n2782 10585\n3491 12612\n12198 13536\n15555 15866\n6198 7064\n1052 2501\n204 15079\n3240 15145\n6244 8013\n5157 12431\n16073 16486\n5577 13568\n6455 7594\n353 4654\n634 1496\n2747 16201\n4190 5787\n12863 15493\n2874 8630\n2788 13972\n411 9104\n5074 11607\n5258 9349\n14274 14873\n6307 14033\n12568 13311\n3917 4816\n2098 14951\n9332 11590\n223 17243\n9067 13774\n932 1726\n4347 10425\n3716 14729\n7038 8930\n6276 9287\n14286 14555\n4180 14991\n5029 11962\n1188 1641\n6238 10002\n4751 8297\n5386 15815\n3735 7836\n10328 14881\n3554 17129\n2457 13479\n5367 12901\n9080 16241\n9108 15220\n4550 6277\n10146 15805\n5728 15478\n3249 6434\n9902 10559\n7227 7788\n2411 5247\n13191 15579\n1051 5580\n4864 10086\n6848 11487\n10256 16711\n6561 9765\n7635 15100\n6820 10072\n2264 17384\n6857 15963\n11634 17212\n13592 15081\n2000 6535\n8468 11445\n9227 12650\n14772 15851\n5673 10321\n4368 13405\n5998 9183\n13318 16318\n5759 7904\n12287 17216\n10454 15627\n7327 12886\n12810 13198\n4296 13296\n716 2701\n7546 11651\n3618 13072\n14078 15865\n1653 8133\n4501 4969\n7180 11933\n12974 16190\n10894 11698\n8730 12657\n4654 16858\n2590 7503\n6940 8734\n5232 13005\n3043 13658\n15517 17272\n2389 4527\n6405 13286\n7532 12759\n725 15730\n75 16013\n3238 6298\n7389 12329\n6213 17187\n10938 14348\n7061 7314\n10312 13923\n4418 10085\n3923 3951\n2881 12612\n684 8228\n11269 11344\n2535 11653\n14985 15747\n8528 10834\n3587 11918\n571 7235\n2039 3627\n3970 6207\n8009 9706\n6538 14841\n1074 6591\n6726 8053\n2702 10173\n635 1779\n4104 9623\n8465 14820\n5336 13459\n9394 17227\n478 11514\n1018 9987\n5847 16151\n5331 9118\n6764 11019\n5844 7783\n10052 13981\n8777 12067\n3365 17291\n14061 16467\n959 3086\n12938 15877\n4406 5841\n1705 7189\n7805 13681\n457 9132\n4230 10582\n7511 11419\n603 16888\n9861 16743\n650 11382\n12105 15909\n6839 16854\n5092 8948\n14240 17092\n9040 12930\n10565 15373\n5290 10869\n5982 16751\n3168 5724\n4435 12745\n4569 11811\n6597 11424\n12038 15829\n1647 3611\n7170 11413\n5958 10759\n2505 11956\n4272 11576\n3250 12250\n11122 16333\n9253 13050\n13934 17074\n7140 15586\n683 3514\n11440 12914\n10096 10770\n5914 11143\n10124 15340\n11669 13307\n24 7269\n10210 16472\n3299 8059\n5670 11960\n5146 12835\n10911 14221\n11132 13589\n12418 13036\n10260 13676\n3725 8923\n10787 15513\n5929 17229\n3540 5427\n1387 8423\n7231 9510\n5191 15173\n10075 14529\n5380 12154\n1311 8469\n8660 14188\n8760 10319\n9956 12184\n4025 5460\n8047 9307\n5979 10072\n1328 7262\n12034 13785\n2326 4536\n3488 6636\n5908 15721\n5009 12368\n7354 7854\n2834 7284\n6772 8537\n9445 15453\n1304 10551\n5776 8252\n2531 12258\n1094 6829\n15414 16655\n9403 15299\n6395 9348\n1364 2309\n5713 8220\n2272 15455\n9223 13570\n650 9626\n8246 16409\n709 14373\n892 6877\n228 10997\n8893 12989\n688 14001\n3042 4063\n3354 10397\n890 16319\n4705 15648\n3160 6329\n1063 11537\n3425 8216\n3939 9894\n458 15797\n10303 12074\n11321 16223\n12910 16271\n5000 5358\n2696 12515\n7185 10691\n3826 8202\n12399 17143\n469 16308\n6062 17201\n2501 14679\n9531 13783\n5023 10069\n6975 11861\n8476 17317\n14562 15199\n8810 13801\n1036 6192\n3093 6365\n1301 9610\n2269 7350\n5479 15176\n10201 11539\n3120 12024\n2059 12957\n4125 15109\n2076 6948\n9331 14584\n9412 13699\n10911 16006\n4441 13082\n6467 12511\n1535 7114\n15275 16279\n4943 8625\n10621 15958\n7017 16538\n253 16618\n5411 10298\n2335 13896\n6196 11269\n9342 13382\n2166 2175\n12370 14714\n7978 11116\n16266 16555\n10387 13414\n5917 11354\n8641 9970\n9860 13634\n9603 15521\n3951 11858\n4471 8234\n5410 15989\n2968 16094\n8440 16689\n4891 15142\n471 1874\n12296 14057\n7039 14590\n332 3824\n1011 6501\n13559 17187\n10779 16638\n7396 7442\n2951 13960\n1450 11860\n6345 9665\n8222 11718\n11695 13450\n6221 16205\n7994 16772\n7397 15082\n9131 16412\n1593 6205\n4247 6987\n9772 10312\n7457 12864\n1469 7506\n2514 7496\n8741 12063\n4219 8880\n9519 12133\n11199 13344\n2789 6335\n3922 6716\n2327 16847\n423 6194\n9992 14416\n5287 14834\n8896 15725\n9298 15753\n6099 13590\n4932 16333\n1148 15843\n6898 14463\n10546 15079\n5488 11665\n2869 13231\n5993 8085\n8065 13981\n6498 6855\n1837 14390\n1306 8359\n5104 7512\n2498 13332\n2159 10059\n7211 7242\n1000 12629\n3911 10564\n5646 11293\n10610 13028\n202 4392\n1925 16117\n3473 11310\n2984 3602\n14452 16491\n5997 8133\n6439 9849\n12211 13169\n1869 9311\n292 7538\n480 14262\n14180 16488\n2121 9063\n7682 11477\n1355 1896\n6029 9084\n1933 3183\n2868 16872\n2014 14838\n4896 8317\n3432 5270\n8326 15375\n2082 17259\n7628 10549\n8976 9848\n3185 5109\n11644 12593\n5936 9426\n334 16572\n10631 15627\n7273 9561\n2949 10943\n3567 17306\n1936 6735\n1984 6382\n8630 16146\n10185 17237\n15339 16158\n5557 12991\n1449 15046\n1723 10293\n4808 11341\n8688 13060\n11163 14581\n12167 12645\n13972 15767\n6493 12705\n102 187\n7730 15017\n4217 14489\n2448 16330\n508 4528\n3014 4741\n5238 10530\n8887 14332\n1 8885\n5176 13481\n2865 8920\n2876 8025\n2327 2978\n3369 14598\n4266 10923\n7641 13480\n5822 11065\n2107 13076\n9100 15212\n2721 7211\n11372 13018\n2031 14086\n5897 10528\n6129 7251\n5192 12940\n379 5127\n10612 11564\n793 15991\n1355 17277\n13624 15208\n6486 10462\n5338 9564\n1695 2062\n14754 14838\n1617 6197\n15791 15901\n4597 7194\n10722 15697\n14466 16015\n5816 10216\n318 5342\n15079 16077\n8178 12756\n4098 12257\n2768 13793\n5162 6149\n6188 15586\n1863 8482\n5829 17377\n1741 10868\n2896 7534\n3027 15964\n3785 6409\n678 17362\n4093 16352\n2355 7944\n15397 17304\n11169 13016\n3081 10045\n5651 10223\n4311 12354\n14122 14791\n13116 15145\n2158 10964\n9089 15516\n5874 7977\n1634 13291\n8480 15924\n7452 16388\n1491 1697\n4127 10955\n13996 16781\n4170 15557\n3154 3282\n13519 15941\n5811 8403\n8384 16200\n9536 10733\n13413 14975\n10907 12249\n4542 14183\n11113 15293\n5016 5150\n4767 9521\n11968 16493\n5001 8663\n5459 8884\n1930 3138\n2106 10825\n3211 5187\n10310 14624\n3388 6958\n5575 15644\n4805 11128\n3561 9913\n1963 5582\n125 198\n6324 15462\n7795 11448\n2132 7760\n8488 17365\n7751 13477\n13374 17138\n1970 13562\n5283 17018\n335 4549\n4616 8569\n6350 7300\n9385 14403\n14415 17341\n11411 15875\n11526 13781\n1452 5272\n2446 17324\n5768 15611\n10036 11104\n1022 7959\n34 5340\n1142 16727\n3869 15557\n13789 15455\n4960 15569\n6176 7990\n13542 15122\n10455 14491\n2722 5448\n9875 16552\n820 15354\n9294 15835\n3 9452\n2712 4344\n12578 14608\n5399 5490\n5569 12026\n4860 10542\n7939 8810\n2823 9997\n4984 9699\n15461 15589\n4023 17104\n2031 7143\n2602 3517\n8033 14210\n9137 12432\n7905 13900\n4299 16962\n1503 13982\n681 6030\n4760 12173\n5889 16723\n7374 11042\n5142 15773\n12062 12164\n2189 11688\n8090 12434\n4909 5036\n6217 12053\n1109 15948\n6375 15306\n602 10929\n6611 15270\n5498 11064\n244 497\n3055 17400\n579 12133\n163 7927\n4214 9167\n1661 11610\n8753 8879\n6941 7160\n10580 12585\n1620 2299\n2153 7892\n3608 8272\n7423 8417\n5269 10366\n7651 12034\n8049 17095\n7039 11165\n1008 12197\n10866 14752\n1551 6201\n10474 12935\n971 8270\n399 14481\n1 784\n3383 4645\n3806 4770\n12217 16820\n1472 6842\n7315 14590\n11214 12650\n7927 12191\n4069 12853\n7272 13929\n36 16075\n6443 13340\n10923 16918\n1157 2174\n7039 15492\n8165 14298\n7120 12572\n7759 10941\n1587 14131\n5996 14522\n12680 12888\n3015 16336\n12800 17044\n4584 11248\n7351 11234\n4857 10584\n14846 15975\n10437 15196\n696 4656\n6549 10067\n14300 15659\n4942 6194\n6012 17003\n4527 9307\n14627 15373\n5408 10810\n13964 16118\n131 6558\n8615 13962\n342 7501\n14492 16819\n12962 17450\n4045 13374\n5226 13935\n4018 15612\n9791 15564\n1739 15519\n3117 16603\n2603 3455\n4305 16306\n3838 6136\n941 16607\n4103 7233\n11338 14367\n6407 13693\n6903 7068\n1819 2837\n6672 12063\n4748 10813\n12587 14333\n15596 15926\n1298 9172\n8489 9826\n4199 15609\n2148 6813\n8284 12163\n3530 7505\n10725 14474\n1502 2308\n10545 15823\n9392 10751\n11631 15539\n307 10082\n7295 10267\n6045 9728\n13405 15222\n5602 13196\n9775 11064\n2798 9261\n14597 16896\n2698 6627\n6009 14322\n4024 11910\n7736 8507\n8512 16745\n2478 5150\n687 17386\n4127 15619\n1321 2294\n4704 9412\n6766 8476\n3184 13109\n703 8410\n2594 7881\n8943 13749\n11953 16353\n2580 16752\n3207 6813\n11984 12363\n314 384\n4636 15061\n867 2748\n801 843\n11825 14811\n1079 10911\n6112 6343\n4974 7905\n4405 14180\n3289 17170\n938 9889\n5723 14198\n4161 7790\n1020 12336\n2751 12070\n6290 12890\n1040 14979\n1448 15894\n797 14083\n12853 15641\n2038 13079\n5189 10022\n96 5768\n2644 10333\n1023 8740\n7822 17117\n9575 10894\n2997 5889\n2035 5905\n7724 15479\n7408 9362\n1841 15455\n178 10209\n10310 14608\n5872 8028\n333 3216\n1746 3289\n6165 16868\n5028 5072\n8935 17394\n11181 13741\n908 7995\n458 14013\n1700 4883\n669 9369\n2642 4776\n5792 7327\n3070 7045\n3634 6067\n9617 16852\n481 13052\n8619 9101\n469 16674\n191 15456\n10644 16738\n4872 5869\n12836 14642\n10714 16778\n9702 17000\n5261 5386\n14063 15618\n1688 12496\n101 8325\n3046 9941\n7732 12825\n4670 4880\n3154 7209\n10586 11820\n11595 13582\n2294 7626\n2863 10233\n11708 13981\n4819 17407\n398 15554\n219 8202\n12248 16033\n188 9284\n2236 16960\n2103 9362\n8595 9715\n5543 11082\n5033 16739\n5889 13418\n13244 17340\n4594 9042\n663 4392\n12152 15856\n5533 12365\n10584 13120\n722 5370\n3073 9559\n2471 3528\n14568 16228\n3322 5472\n4079 14580\n4349 15170\n3295 10989\n566 2219\n10068 14061\n6673 9563\n6000 12397\n1296 13091\n4661 11025\n14188 16755\n3151 7258\n1348 12285\n5926 11546\n9134 10126\n1967 14841\n9933 11111\n2304 10831\n4067 4179\n1343 9804\n548 16245\n12388 16117\n4339 10464\n8893 9202\n7665 9221\n8708 15550\n9192 11507\n806 11421\n2280 12643\n14351 15418\n8707 17264\n5207 10471\n303 4372\n4180 7141\n4694 16028\n8423 15859\n5675 11085\n6962 8912\n3048 11756\n8742 13455\n5404 6127\n11244 12579\n7339 10564\n9886 12847\n5883 10848\n2211 15400\n5589 6198\n5224 16440\n6565 12641\n8153 14219\n603 13535\n777 11098\n14223 15879\n8556 8897\n4712 6390\n4317 9559\n5554 5740\n7615 11270\n1586 15578\n15243 15879\n7599 10306\n8923 17092\n9159 11752\n7353 11301\n9460 14297\n5359 13336\n4093 7884\n8126 17452\n2865 10708\n1106 12168\n3354 14260\n145 2201\n4339 5436\n7154 9508\n9261 14752\n7740 9002\n3244 8820\n9167 14183\n377 6154\n3153 7091\n3112 12335\n418 8854\n6676 11204\n2320 16908\n7836 14039\n4165 11976\n1224 8829\n15036 17026\n2050 4293\n1774 15140\n3976 8410\n8602 10460\n3638 11268\n1688 11125\n1965 12552\n8514 12078\n6128 7978\n9051 13693\n9330 14120\n618 12019\n1396 6121\n7345 12074\n13637 16282\n10936 15066\n7418 16750\n9647 14273\n7482 14457\n8842 10347\n5820 10124\n1257 4547\n4936 10897\n2641 8908\n12481 13911\n7334 8975\n5563 12329\n11328 12917\n3152 5997\n8575 11925\n13891 16447\n2064 8862\n8716 14180\n6405 13657\n6369 12845\n5555 15530\n6105 13846\n477 7652\n5809 11026\n9729 15860\n11909 14366\n7606 13569\n1647 9996\n5535 5580\n1422 6890\n2301 8744\n1218 16192\n7567 12160\n8214 9121\n12147 14478\n10657 15080\n5348 13181\n13827 14761\n886 17348\n5299 8298\n12859 16243\n122 6049\n414 16780\n5334 11659\n2830 9842\n1193 2232\n5373 14572\n3745 7141\n3506 12772\n711 12459\n8038 10936\n5124 8491\n8887 9084\n2215 17235\n3482 9985\n14638 14936\n141 5151\n6305 9844\n6632 16830\n3106 3704\n15298 16736\n4109 10216\n7495 12496\n5011 17315\n5595 17380\n13027 13857\n8329 14655\n413 11114\n296 5415\n1737 16781\n3739 14044\n9601 10153\n12866 12896\n3025 12601\n10379 16200\n6754 12181\n9536 17354\n275 9144\n1133 2075\n14710 17402\n1298 11297\n1758 13028\n1625 6088\n12381 16163\n1684 10799\n1502 15092\n5450 9283\n3037 9194\n2137 17183\n2706 14912\n5871 9374\n6975 9183\n11251 15164\n8154 8739\n1439 16803\n1301 3447\n1505 17043\n4922 8073\n12903 13035\n2728 11090\n1006 13037\n4491 4921\n8258 15319\n5456 16870\n13248 16019\n1761 1899\n7957 14547\n4664 7251\n9693 10925\n10773 13568\n3993 5215\n9833 12027\n3780 14782\n14739 15063\n5095 6266\n5310 12195\n6016 9390\n256 617\n13743 14621\n14870 16766\n772 15617\n12231 12379\n2717 17041\n3399 8844\n890 1283\n3630 9443\n10085 15294\n7935 8019\n12972 12990\n7623 17136\n174 3331\n11627 16463\n13127 17074\n15533 16438\n8069 8182\n3978 6078\n10222 13883\n5628 7302\n3071 13507\n16658 16663\n2848 13336\n13842 15700\n450 16847\n1458 16496\n5696 13973\n13933 15600\n2904 4673\n11035 13507\n6389 10963\n9130 11427\n6755 15093\n7190 10310\n3261 10868\n14154 14944\n7148 11703\n5915 14624\n186 6923\n426 2577\n8498 10934\n3771 15650\n7339 9895\n7215 16471\n2533 13583\n2006 10333\n11699 15828\n5347 15091\n3795 5470\n14332 14371\n3351 15109\n11758 16572\n3328 8492\n5420 11962\n1148 13920\n8475 9519\n5674 12956\n12578 12818\n12343 14953\n4641 12469\n5874 15086\n520 1762\n9063 11259\n786 10117\n12426 14680\n5016 14958\n4166 15359\n9588 17040\n1356 9191\n3088 16157\n1062 14431\n4131 14694\n452 14237\n3584 11457\n2496 14653\n5404 8343\n2077 15206\n11186 16827\n2676 11292\n9920 16521\n10405 12843\n11713 13114\n3618 9563\n217 13474\n12019 17250\n5613 15480\n7163 10053\n3494 10622\n2568 12311\n634 11062\n8309 16302\n5196 7365\n5009 16401\n10998 11894\n9261 10530\n3853 3906\n3764 14670\n2173 12834\n2052 3289\n3858 10551\n1155 16043\n10501 11241\n6081 9588\n6205 14290\n8234 14453\n3373 15256\n8599 11214\n1471 11543\n4340 17038\n1606 13430\n5466 5963\n13280 15209\n130 16172\n3268 16062\n6893 12126\n300 12774\n3639 9525\n1762 14004\n3157 12047\n10907 13478\n1834 5597\n4947 8051\n9993 17357\n144 13772\n9806 13672\n9924 13207\n103 5179\n3632 15580\n4510 9193\n4458 8563\n441 3184\n4422 16764\n10425 14548\n5375 7084\n4680 9814\n3333 8242\n6864 12145\n10861 17060\n14695 15141\n26 1545\n4371 11470\n8423 16680\n577 15441\n13288 14905\n734 8917\n7782 15577\n706 6395\n1497 7660\n9204 11649\n1246 17027\n2248 10109\n77 6161\n11084 15133\n5218 13962\n418 1168\n3346 12038\n8288 9348\n11730 14405\n6152 8028\n3472 6045\n1393 3768\n7016 10014\n5631 13109\n12450 12891\n675 5353\n222 14856\n760 5254\n10939 11547\n9253 10438\n12281 15764\n15071 15976\n727 5493\n1246 4200\n9211 11540\n10443 10811\n2468 14900\n4801 14269\n10321 10686\n10446 16854\n8830 10916\n2899 14265\n7662 10240\n3973 11549\n10514 11232\n723 16655\n1244 16201\n2019 5524\n11407 17128\n4922 5086\n3972 5511\n530 16943\n5320 11974\n5775 11470\n3052 11085\n8752 9267\n5224 12539\n4047 14877\n1967 3371\n1663 3024\n5918 14616\n3645 14347\n3185 13200\n2254 9129\n3508 4202\n7006 7860\n11729 15380\n8855 13538\n3456 13172\n2548 5194\n5666 8405\n1366 15074\n242 11507\n474 7358\n2104 9325\n5943 14169\n4249 15670\n5426 8871\n16 6889\n5662 6307\n5896 16539\n6931 12215\n1367 16629\n675 7951\n15670 16709\n2195 6807\n4343 8343\n9788 12005\n8831 9446\n7688 11725\n5498 13080\n2935 3181\n10356 11346\n2998 6966\n2594 15059\n3764 14266\n10385 16832\n4231 16394\n2954 11065\n5529 7306\n767 12920\n2532 14623\n4006 7184\n11221 13348\n3785 11388\n2522 17351\n7958 15911\n5015 13001\n8063 9679\n9623 13944\n11293 17034\n13081 15985\n4923 8089\n6385 9831\n625 3342\n1069 11669\n9966 11951\n5875 11550\n6317 10742\n6626 11325\n5103 8373\n13237 16419\n371 3621\n13500 15534\n4289 5273\n4801 9280\n818 12153\n8137 14138\n7331 10532\n3431 17315\n6496 12159\n7235 14515\n3774 5728\n524 3154\n8326 11315\n7493 15233\n581 13177\n3134 13790\n491 17396\n5749 12813\n111 13467\n8674 12105\n8081 9445\n5958 8721\n838 11280\n1274 4266\n1534 9474\n12765 16881\n4673 10139\n10246 12504\n9388 10430\n11132 11243\n12543 16511\n3941 10615\n6372 15278\n2295 11923\n74 13391\n597 11374\n1415 16838\n7136 15345\n18 208\n5123 9448\n11220 14291\n4709 5310\n7590 15392\n7063 7435\n3032 6808\n10083 11871\n1094 4654\n8363 16708\n17125 17461\n3324 15695\n7264 16083\n2659 5179\n3562 12146\n3041 15823\n8103 15515\n4304 7078\n12393 14247\n5885 8937\n14531 15865\n6427 12495\n13019 15581\n2972 10761\n5580 6079\n899 1943\n3400 9534\n3494 14159\n12049 13746\n4422 15233\n191 15597\n5622 16221\n4218 16315\n6861 10907\n3038 12468\n253 512\n1143 12758\n13344 16416\n4797 8850\n4237 12886\n2125 5303\n1214 3656\n333 3837\n157 15139\n11149 11482\n2735 11434\n2773 6015\n5279 15744\n11630 13599\n4488 15712\n10060 15709\n6917 7066\n1568 1676\n10868 14255\n4458 17392\n7155 13781\n506 566\n3495 6538\n7024 7285\n15308 17344\n1273 13411\n111 2014\n1302 9883\n1660 8982\n5859 6318\n9088 14824\n8536 15844\n11947 16672\n2735 10937\n2217 15002\n733 16219\n795 7778\n4460 11656\n2722 10300\n8713 10856\n856 6893\n4543 7890\n2093 3999\n3050 3319\n3639 11968\n12004 16355\n3236 16065\n4589 11545\n11818 14361\n5028 11393\n5733 13127\n3643 15684\n10889 13161\n1380 14014\n329 7747\n1571 3877\n9052 13044\n5921 9328\n17053 17251\n7039 9429\n8287 11995\n4125 4763\n866 6208\n6247 16849\n1621 7727\n7858 13084\n12733 15989\n11588 12048\n2553 11763\n4329 10879\n14303 16278\n1730 16034\n12478 16503\n12103 13513\n2420 12149\n6565 14289\n2337 9943\n251 5751\n12388 15699\n2043 15678\n10017 16633\n10097 12824\n5882 7360\n3295 9832\n2629 9506\n1070 10052\n2747 11380\n11647 17008\n6937 9013\n4003 8282\n5816 10481\n10436 16164\n9001 16425\n15916 17060\n4812 8885\n3064 13095\n13328 16918\n9354 12431\n3314 4807\n1390 14305\n4025 5506\n3511 11851\n7972 14007\n1840 15502\n3055 4680\n5140 12082\n1566 3794\n75 7849\n4061 12542\n9793 9880\n3278 4908\n12606 13572\n452 14915\n3750 5437\n2545 8741\n6882 15701\n10606 12289\n2418 6052\n9267 9514\n1686 4302\n567 15089\n7847 10053\n2270 10826\n9610 13094\n1070 16131\n1914 8308\n424 16185\n13125 16910\n2498 9201\n102 6284\n710 3852\n9729 10864\n1573 12751\n8984 11481\n7694 16112\n2054 10533\n8327 12334\n3872 10727\n1108 4237\n7 8097\n5558 12581\n7773 9648\n6705 15105\n8589 16494\n5160 16456\n10042 13418\n11728 12355\n9714 12569\n4865 12319\n44 2955\n8080 12313\n2555 3818\n8219 11158\n3532 6455\n1558 4916\n5347 13376\n3980 7492\n1032 13653\n4864 15249\n7933 8515\n2710 15761\n4264 8577\n6097 8285\n4572 12438\n3725 10548\n7374 13733\n3730 17202\n6607 17018\n3648 8033\n5080 16772\n404 6602\n10592 12002\n15370 16913\n7959 13835\n1917 13672\n13795 15449\n4384 10252\n9451 14006\n9800 9872\n4111 10603\n11671 17257\n3799 14741\n1931 9711\n3429 15169\n3246 10500\n387 11916\n1405 16848\n4473 13446\n317 1195\n4957 10313\n6628 12098\n1635 14949\n6494 14809\n10781 13930\n2767 12467\n8149 16955\n10653 17212\n5312 12096\n2580 9883\n3380 9037\n10309 14682\n4838 8841\n14669 16646\n7884 15784\n2145 9696\n38 4271\n276 1243\n1819 8336\n12528 13962\n8481 14674\n10172 13670\n1451 14675\n3539 15828\n16369 16850\n2642 5680\n7689 14471\n5641 7805\n14210 14432\n2045 10053\n7551 13199\n4933 5179\n4735 10345\n10900 13174\n3218 13973\n5271 17421\n10748 15325\n10581 13595\n5520 12338\n7264 10449\n8544 14029\n3118 14995\n3819 15932\n4807 9745\n5467 9599\n1702 13754\n5664 6162\n5861 15698\n14690 15316\n26 14080\n2851 4488\n9860 15449\n11127 11519\n7693 14974\n11160 16819\n10865 16527\n5999 7799\n5080 12765\n13126 16859\n7538 9652\n11797 16263\n1077 14799\n490 12541\n721 7996\n9092 10105\n9113 9876\n5229 13332\n12451 16161\n771 6415\n12720 13452\n10984 16879\n940 10879\n6828 10555\n2719 12496\n153 5559\n3963 9088\n1414 1782\n4888 15502\n14999 15516\n2562 5457\n1643 5455\n2928 7640\n2296 8857\n2727 7717\n368 10382\n4132 9821\n7995 13009\n11343 13934\n9084 15288\n6264 9681\n14418 15673\n2903 7217\n2771 12934\n8361 12998\n11112 11599\n2895 4265\n12491 15027\n10700 15109\n1690 11719\n13668 16045\n4181 8090\n15722 15787\n5288 16921\n11981 14085\n9430 11052\n9629 14683\n7737 15199\n8348 14945\n4313 16483\n10680 13305\n11644 13585\n5807 8756\n13287 13639\n13586 14600\n857 8333\n5729 8828\n8560 10650\n542 7815\n2787 12403\n15607 16492\n3953 5864\n6207 12413\n4647 5391\n12271 12317\n1358 4568\n896 2991\n2113 2594\n4143 9720\n1481 9265\n1800 11537\n9274 12403\n5941 6026\n5572 8405\n5884 8722\n12825 14560\n586 6172\n2551 13085\n5588 9785\n10280 13602\n408 2643\n1085 11427\n2109 14357\n9776 11826\n11315 12416\n5781 7311\n16423 16785\n1432 8973\n6425 15899\n4467 16586\n5150 13699\n6503 15353\n15072 15201\n11835 16171\n10900 11011\n2533 5800\n6084 9208\n14040 17142\n9311 16665\n2499 9788\n5188 13334\n12246 16514\n513 13039\n3246 7013\n12850 16481\n4097 9191\n3299 16154\n5932 10288\n5640 14565\n2749 9401\n1959 5843\n2521 9393\n513 13784\n7348 13325\n8474 12645\n3005 10760\n7650 13115\n8474 16092\n9756 15299\n7950 8949\n4784 12632\n3504 7662\n13205 15744\n5204 5267\n5191 15638\n807 1181\n4 2380\n11107 11394\n3049 9637\n1305 13061\n436 12262\n10229 10404\n7930 8176\n6481 9253\n9352 9744\n4413 9830\n3941 6719\n15853 17096\n3282 11305\n6603 10346\n3965 14410\n6587 14781\n3036 10623\n4986 5459\n13348 15224\n8365 9968\n14839 14866\n248 2960\n233 2039\n309 2480\n220 6360\n7016 17194\n5886 10499\n2051 14400\n7067 14950\n8134 13877\n1131 3839\n12393 12401\n2085 15053\n1968 5616\n570 4465\n8952 15169\n759 13121\n3114 4238\n7336 16472\n1012 2702\n9449 16504\n1394 5534\n3281 16001\n2828 6712\n2345 16867\n2529 16130\n15380 17066\n1936 11801\n426 11903\n2238 11005\n6735 13686\n14372 14697\n2170 17247\n1394 8443\n2189 14505\n10934 11867\n10090 17287\n6489 16299\n3271 12456\n2526 5825\n8220 9089\n13024 17178\n2255 9815\n11017 12827\n4093 10950\n8986 16721\n1790 2306\n4934 10417\n2920 4579\n3244 15336\n11838 16590\n4513 6811\n1686 4763\n1248 11347\n4021 6191\n3292 13558\n1524 16869\n3842 5632\n4159 6699\n10847 16894\n10280 11438\n1061 8114\n3455 14987\n10679 11936\n7022 11374\n5283 7348\n4045 5205\n14688 17306\n1282 14393\n4336 5294\n1440 3751\n1185 7147\n4171 16703\n11858 15646\n9665 13418\n5347 10993\n11477 14780\n1178 13855\n1281 2576\n1139 7489\n4101 11443\n7978 15335\n1559 5555\n3865 10170\n5107 11296\n7752 8830\n4959 15686\n3880 13903\n1127 11207\n4535 6638\n8911 13871\n11234 15059\n6831 14593\n6807 15327\n1974 10768\n3226 10293\n370 2535\n11284 14879\n5336 17025\n9150 16251\n3465 3513\n5706 7696\n7020 8161\n444 4027\n13004 16385\n13772 16872\n10732 14503\n651 8398\n7245 7295\n3244 10847\n1049 10860\n1887 10418\n14561 16223\n10856 10920\n3800 12678\n1687 11820\n8068 9878\n16626 16899\n3305 16091\n8681 14408\n3937 8542\n1181 10129\n1237 11079\n10651 16063\n2573 3259\n3339 14381\n2965 13760\n754 16437\n2275 3212\n209 11987\n558 4789\n11530 13257\n8683 11507\n718 10535\n1522 7704\n9272 13369\n6470 11986\n3894 6505\n451 7685\n7502 16648\n9394 12124\n1098 5360\n7049 14851\n10620 17404\n15708 17252\n7458 15869\n1028 16139\n2500 15117\n2758 8548\n2292 16638\n5403 12794\n6934 16913\n6321 7021\n1649 6387\n4672 15986\n748 17055\n560 11028\n9435 11897\n2699 13301\n5438 11799\n8667 14690\n16072 16329\n9403 17314\n5660 14340\n5603 16844\n157 1475\n9140 10379\n8851 10435\n10357 17106\n1465 6182\n2447 14636\n10700 12230\n8789 16284\n12536 14587\n673 15685\n5004 7526\n3226 12221\n617 11056\n6724 12314\n12349 16651\n746 15063\n2216 17134\n603 2088\n3317 15648\n5374 6544\n3724 5613\n465 1504\n1612 2581\n5387 14816\n7305 8651\n11847 12447\n766 5923\n1724 4346\n9164 9616\n889 11708\n3159 16667\n16445 16598\n4495 9164\n1433 7747\n1837 7201\n14177 14894\n1011 17105\n2697 11012\n5726 7629\n1381 8062\n305 2890\n11825 15265\n4994 11958\n8876 9160\n10579 16742\n3040 14827\n4354 13465\n3705 16986\n2615 14068\n9085 17297\n8158 11906\n4784 7306\n5457 9032\n9616 9694\n8176 17375\n1706 7540\n12487 14144\n6715 12693\n5049 5238\n561 8752\n15848 15895\n3524 5583\n3345 9599\n7919 17299\n1108 2779\n5708 11911\n7759 10793\n8477 12999\n5243 5641\n11310 17296\n527 16312\n4411 12025\n1955 8445\n342 3707\n4344 14730\n923 6987\n3578 6665\n9968 16009\n3715 9962\n2002 11995\n8339 9685\n3202 13104\n12919 13683\n5046 14821\n13539 17417\n2794 11815\n9326 14017\n582 14586\n3028 16241\n3726 6078\n12410 14140\n2454 15280\n4451 9697\n3897 8794\n5113 9428\n10779 11503\n12053 14454\n6293 7607\n15508 16356\n2769 16290\n4096 4414\n2763 2906\n5635 16023\n11185 16159\n3245 7012\n14567 16211\n8586 10557\n5316 15714\n7645 14807\n7312 11564\n12565 14145\n2541 17015\n584 4735\n9249 10356\n338 1096\n8621 11716\n9603 14095\n380 7668\n2407 6720\n9400 14896\n9992 14707\n2254 16725\n4547 12394\n1918 6263\n8784 12734\n3989 5220\n5895 13040\n5093 17094\n13230 15500\n5001 15692\n6144 10105\n11649 12315\n1958 5510\n10741 16048\n9675 10531\n1855 5305\n8704 15656\n1332 2308\n4936 16274\n998 13094\n9964 16469\n8683 15091\n6364 11379\n736 14797\n731 3928\n1135 10795\n8486 16861\n2428 10743\n10979 16855\n2419 12106\n4192 11124\n5248 14256\n8464 16430\n12597 16511\n383 14273\n2287 4080\n7250 14614\n7263 9576\n5741 12801\n811 15852\n14221 15132\n13382 16600\n9349 9972\n6650 14984\n3327 7736\n3863 16773\n172 9898\n14428 15153\n3906 4228\n193 4888\n7017 13063\n7610 11067\n367 5015\n11066 15700\n5795 16847\n10570 15138\n9782 11511\n7222 13780\n5287 13828\n10001 15546\n4051 8468\n15712 16715\n15457 15591\n5650 11688\n7411 10484\n7505 13072\n3168 15145\n7569 13032\n7852 11619\n12580 15373\n16127 16619\n12516 15771\n10661 14647\n4227 7701\n12892 13829\n1373 13903\n4610 10783\n4653 9548\n2926 13493\n2422 14639\n666 13617\n7782 8391\n3079 3384\n9647 15737\n6087 9386\n10605 16851\n10747 12199\n5845 13949\n2698 11413\n11266 17195\n1533 6311\n13413 15892\n5493 11047\n4414 8065\n1340 15577\n11042 14108\n8744 15217\n3358 12792\n453 13402\n1175 16929\n2757 14763\n4229 11929\n7928 15028\n3125 4055\n1922 13711\n2052 3956\n58 13010\n9824 12266\n6670 15727\n957 4430\n3125 10410\n6181 9589\n4954 16332\n810 13184\n9224 14364\n1478 12348\n4648 6659\n1507 1571\n200 1971\n13126 16435\n12890 15036\n4003 16981\n474 2709\n12518 17379\n11707 13649\n2643 12661\n14025 17086\n6134 11513\n8922 14782\n4116 6594\n9009 16658\n5250 9525\n8509 15022\n8291 11516\n6644 7056\n4299 7417\n12517 15584\n2372 11614\n1314 16454\n4859 10176\n7808 16642\n2570 3175\n9335 9510\n135 10479\n11738 12254\n12502 13471\n829 14774\n1281 5956\n4736 16141\n222 10657\n7075 9513\n9909 14228\n10208 10614\n349 4584\n10946 15758\n132 12969\n3218 4435\n4641 11110\n2939 15533\n732 12085\n9916 11775\n8806 10665\n627 1542\n160 747\n1626 6626\n4730 7429\n97 6472\n6960 13012\n8869 12546\n9528 11435\n389 2602\n1463 7152\n2041 13596\n12872 13296\n8902 11900\n226 15516\n4383 13903\n5830 15891\n1410 3252\n4187 17173\n3973 8766\n4098 9450\n9230 10435\n10066 16390\n12077 13110\n4180 9961\n10315 14819\n673 11329\n5168 9378\n3790 12965\n2391 16203\n168 10916\n3221 11209\n7084 12048\n954 12673\n9053 14880\n2323 8642\n8524 8800\n3280 15318\n1871 2056\n8194 15718\n6952 11197\n11139 16015\n523 11103\n2340 11261\n4532 8292\n13196 15021\n5634 8313\n9689 17344\n4381 9874\n3308 8865\n5641 8699\n1857 17283\n9180 15364\n4801 8597\n7416 9235\n2464 11774\n1775 10544\n15307 17282\n7096 10243\n5824 16112\n6300 17134\n1963 6000\n2279 12802\n649 7090\n4860 15019\n6266 17118\n2111 7153\n7838 14348\n821 8799\n2480 9921\n8682 12019\n12746 16282\n3464 14650\n2223 3511\n3894 15670\n6989 12869\n5352 15370\n12617 15837\n8023 12950\n10858 12150\n3568 11437\n1654 11442\n9857 11124\n5600 9906\n7043 8519\n7162 7831\n1027 9522\n3286 10822\n7524 13585\n4524 12813\n8574 13464\n8613 16935\n6053 11857\n2486 7450\n8971 11331\n7733 11622\n10009 15754\n7164 14264\n235 7487\n8539 15147\n11265 17187\n6849 7639\n12442 14242\n9312 16112\n8901 16179\n8517 13890\n12614 13850\n183 4573\n1102 16735\n11769 16102\n1656 9603\n783 1761\n9128 14243\n5675 11283\n8949 10834\n2193 8318\n4628 13091\n8766 17004\n12157 16584\n7503 9880\n10164 10886\n542 4036\n9547 12536\n2529 11824\n3361 14633\n6952 8331\n4121 17406\n15479 16605\n13139 14745\n6876 17203\n13578 16708\n3175 4148\n2023 5773\n4178 8392\n8939 13512\n794 9131\n7706 11889\n2969 3956\n383 15155\n4154 7293\n9071 9773\n1603 15743\n5570 12906\n5983 6120\n1870 3783\n7588 13101\n137 9957\n12634 15768\n3673 10404\n3071 3093\n724 15131\n5658 16793\n10989 11906\n9 12035\n7736 8536\n15008 16995\n860 1360\n6794 9103\n25 4628\n5619 11123\n2897 12773\n4547 17387\n990 9295\n7561 16106\n5439 16212\n3459 4030\n11827 16485\n2707 7290\n6575 17326\n6486 14486\n5754 6498\n6611 16713\n4756 17162\n3780 8876\n1530 4565\n3443 10088\n9197 10212\n5326 7101\n6768 8902\n8112 11346\n11400 11478\n1370 16905\n6773 15526\n2046 11254\n4582 16571\n5846 15958\n254 4369\n7813 8753\n2797 11836\n5436 8502\n1080 5876\n7817 17189\n6996 16085\n10868 15029\n640 6428\n5319 15903\n4429 8406\n10241 14487\n12276 12515\n1207 12142\n8980 15630\n1857 12709\n9765 11921\n7778 13430\n6336 9215\n9400 15847\n695 14090\n1013 5115\n10941 14027\n4713 16267\n10382 13603\n14325 14559\n3839 9068\n1510 17018\n7519 14550\n1478 13593\n5446 14541\n1674 4373\n14650 15776\n2257 6634\n4385 16436\n8465 15191\n9375 10215\n10645 10957\n1572 2498\n1821 9741\n9501 16096\n12102 12132\n902 13373\n1577 5116\n11242 15208\n289 15979\n6032 15163\n3603 7823\n111 7894\n3122 3996\n3010 12323\n2441 16405\n42 6592\n1684 6272\n1441 12686\n6624 9868\n10829 14690\n1598 15390\n1452 10530\n10475 16322\n11328 14350\n887 11465\n2846 10895\n12602 13704\n8464 16363\n3955 13360\n1287 17280\n6510 11082\n6667 13071\n47 1153\n1376 7714\n1250 12036\n11178 17327\n10147 11077\n9997 16331\n9015 15589\n2238 16584\n2496 7875\n1303 8458\n4955 6434\n8867 10797\n1421 14574\n377 14844\n1354 8937\n15166 16507\n993 13977\n620 4359\n88 4859\n1587 15526\n8439 12783\n5354 5742\n5663 9231\n3193 12734\n1499 6638\n7241 15024\n307 12870\n2207 4869\n9723 16358\n5912 8801\n1099 17056\n7604 13015\n5704 10949\n14313 15216\n2762 11896\n7337 11760\n1842 7024\n780 2378\n6705 8375\n13931 16346\n1754 15259\n1029 12414\n10743 10887\n3042 13147\n16484 17386\n11743 14014\n2074 8212\n416 2506\n4808 11094\n2641 16732\n503 13057\n5065 15898\n484 14446\n8186 17242\n1952 5141\n3599 6363\n12058 12661\n7484 17196\n7332 7848\n13860 16841\n3257 4229\n6524 9094\n3024 6255\n741 4468\n1831 10457\n3452 9979\n10139 15655\n1480 4425\n5192 5464\n14968 15265\n4359 10967\n11564 14957\n2017 10810\n6458 7188\n7894 11926\n3857 8991\n652 12569\n5983 12698\n1358 7534\n3272 16374\n5011 6494\n6465 16290\n5993 12826\n2553 10434\n4149 11707\n10650 12165\n9845 10624\n5158 14115\n1389 16687\n15538 15712\n6670 8528\n10243 13383\n2717 7025\n2223 4580\n6690 15979\n2727 7544\n3002 9015\n4143 9686\n149 17003\n4750 16604\n9726 13609\n8344 9512\n12133 16203\n4857 14975\n1508 14463\n5069 14717\n6560 16178\n3109 13551\n4260 15057\n7783 9829\n6841 14087\n9726 15046\n3184 17233\n11051 15422\n4392 9931\n7895 17438\n9601 15590\n8304 15389\n5019 13678\n846 13113\n13435 15554\n9234 11579\n3266 10413\n4108 14035\n448 3154\n7489 10514\n2213 7711\n12 14896\n2518 10437\n4188 9795\n5618 8771\n5688 7327\n6250 11275\n4148 14253\n7654 9321\n1452 16199\n13190 14686\n3299 6600\n767 4094\n10047 15856\n3963 5241\n199 2290\n11203 15463\n8764 15466\n5768 12488\n278 14612\n7296 9322\n7998 17211\n5766 16403\n792 4103\n7160 9002\n9977 16307\n8859 15488\n9050 16613\n1329 11199\n2967 3004\n12174 13897\n1666 7804\n5704 6366\n872 10915\n5176 9175\n9575 12614\n12209 15725\n155 6953\n11228 17202\n463 14899\n4703 11028\n3064 17375\n11922 16491\n2985 9448\n12879 14575\n7837 15438\n225 1835\n1439 13379\n12820 14244\n1537 10413\n12703 16846\n520 2108\n14070 15089\n9683 11665\n2093 5934\n13623 16017\n1549 12199\n3074 14610\n7095 7151\n5170 11218\n6531 10182\n4719 9587\n7549 9779\n13205 14964\n4011 12855\n6719 13191\n11274 13918\n663 16842\n9297 12876\n1427 12004\n5709 6797\n2303 13879\n12668 12804\n530 5492\n10747 16136\n9379 9974\n1290 1505\n3387 4696\n3892 4006\n1014 16860\n1390 2502\n1087 3715\n10593 17462\n5400 11129\n1156 6570\n13247 16378\n693 8931\n8511 9877\n1517 8011\n12528 17225\n14680 16436\n4893 9972\n13499 14685\n3921 8088\n1317 4387\n4111 7989\n3450 14957\n8146 16152\n5539 5608\n1561 14912\n3432 7814\n6596 12322\n1727 13508\n8316 13405\n9524 11145\n8146 8483\n4328 15251\n969 15679\n2668 4604\n13645 14671\n7767 15728\n2564 17386\n438 5653\n8552 15803\n8058 16774\n9292 10880\n1017 2883\n10978 16210\n4247 4460\n9094 14055\n766 9954\n1162 10184\n4703 17332\n8059 15327\n9644 9771\n2012 3579\n478 8631\n792 10917\n9906 11042\n1673 8327\n7621 17030\n4470 13076\n203 9940\n3843 4349\n9976 16732\n4243 13912\n7091 16619\n10267 15375\n5037 7321\n5907 12981\n9382 10872\n1500 17249\n1398 9882\n2698 13227\n5636 6581\n13381 16101\n6571 14406\n7231 16244\n9922 11437\n15685 16064\n477 11375\n9299 14065\n13511 14064\n6629 16990\n10976 12946\n13090 13854\n3905 11981\n3160 9785\n1625 17293\n1322 1915\n8833 13514\n11218 13118\n9454 16556\n4158 11089\n3106 9583\n7852 13201\n6654 16649\n1134 17359\n2543 3304\n12020 16126\n992 5874\n1014 12674\n12773 15418\n13806 14218\n12916 13455\n795 13383\n4043 16301\n2865 16113\n2317 6805\n7062 7751\n252 5648\n13157 15426\n3380 14213\n6407 16878\n6469 17269\n10947 14099\n1407 12987\n2189 5669\n6189 7679\n26 11761\n3013 10410\n11355 14056\n254 10720\n6991 7322\n2069 4531\n3667 11058\n3052 9654\n4200 8824\n11124 16697\n1013 15376\n413 8177\n1917 4207\n8096 13298\n8702 15716\n1082 11939\n505 5046\n298 12914\n6200 14159\n1683 12431\n13188 17316\n6659 8374\n2868 7168\n3178 15985\n1967 7090\n3928 13243\n14295 15275\n7821 8389\n5613 9921\n11160 16810\n11329 12629\n12023 12488\n6374 10287\n7103 13219\n10099 16286\n4932 9303\n4776 12863\n14500 15696\n2794 13203\n2253 10932\n11582 12327\n5562 7720\n5711 17115\n2579 12914\n271 7245\n13229 15507\n8013 10231\n4922 6284\n14490 15967\n6372 8407\n3779 14401\n16003 17353\n12266 15789\n9711 14170\n1711 10324\n429 7302\n1746 7948\n11192 14580\n6158 7650\n6013 15715\n15756 15831\n248 5337\n9274 9517\n3692 14724\n7655 9033\n2215 4487\n12951 13130\n1755 14628\n2983 15622\n1927 7763\n15622 16169\n5654 8790\n1256 4343\n179 1195\n11782 15648\n6456 16656\n7379 12961\n1236 14319\n3119 15731\n5747 8263\n6078 14747\n976 12904\n14095 14369\n9474 16842\n6464 13514\n1653 16785\n1508 7977\n55 3990\n10014 16825\n5048 13123\n13224 15482\n409 4453\n2651 12802\n1526 7567\n3921 5214\n1841 9027\n1920 16127\n11489 13486\n2086 6906\n1395 9418\n6545 17364\n5337 13981\n14457 14907\n2658 9581\n5004 12341\n10667 10763\n1974 17117\n313 7985\n370 3800\n1709 14700\n5997 10324\n4745 13712\n8236 17116\n2647 8355\n2751 15904\n7281 11310\n14212 16376\n3106 12884\n1964 15089\n10 2810\n5337 6095\n5252 9460\n9870 12372\n11688 16049\n6512 9698\n4594 12796\n8189 10363\n14085 14909\n12181 13763\n14037 14288\n449 12912\n8608 9743\n6637 13196\n15958 16718\n1175 6885\n3485 12926\n6380 15519\n15236 17294\n12776 16830\n2987 3508\n3790 4110\n1716 7312\n13657 17008\n9766 15050\n9814 16487\n726 6294\n6374 9995\n8328 11211\n12015 15296\n2874 9658\n61 14902\n2910 10683\n2668 6358\n2407 7516\n5551 14466\n1660 16345\n10172 13048\n1209 6743\n335 1846\n8124 11637\n7385 9376\n9851 10077\n2307 14413\n4367 4478\n5863 15267\n2569 4557\n7687 11395\n6262 10890\n16415 16724\n8719 10090\n685 4075\n7644 10475\n2709 2748\n6170 11915\n125 14115\n6017 14601\n8014 8288\n2283 3114\n2573 4544\n5083 15633\n12972 16488\n9525 13528\n2521 5902\n11435 17428\n544 2405\n1173 10390\n2072 12022\n7519 9829\n5753 13792\n8016 12245\n3981 16046\n777 15879\n13860 15105\n4146 11469\n12009 12331\n7064 9686\n7724 9509\n6232 13846\n12043 13854\n739 11609\n3538 10993\n1305 8970\n7162 13876\n12249 17105\n2505 14554\n9342 11037\n1906 12969\n4077 17096\n12816 16853\n6294 13142\n315 10375\n5291 17122\n4755 8784\n11823 14463\n4631 9282\n6412 7666\n4226 6799\n3620 13110\n7090 16739\n2189 2921\n1666 13231\n4376 5017\n1558 8485\n10119 16169\n1214 8572\n1054 1301\n5862 14820\n2184 2713\n4265 9175\n384 6859\n12089 12646\n237 9104\n9648 15261\n972 13513\n6538 14248\n8973 11533\n13161 15365\n1008 5616\n8493 13356\n2126 5178\n9062 16561\n2624 13566\n2805 12642\n3727 7176\n6952 10705\n12361 13776\n5585 12434\n7747 8770\n4209 15248\n11712 14471\n6281 12568\n10485 12102\n161 2627\n4625 6060\n996 14930\n1905 4959\n14293 15244\n229 14509\n12301 12638\n3947 13116\n3000 14180\n2534 5101\n5553 8255\n7715 9697\n4470 10406\n7171 7902\n2696 5524\n9843 15903\n15165 16691\n7232 8035\n7610 15948\n10289 12113\n199 13922\n7748 12164\n1251 15604\n6434 13244\n9010 12229\n5127 13898\n11962 14597\n8511 11316\n6129 8079\n4659 15400\n11096 11713\n3812 6747\n11207 13462\n6530 17195\n4121 13054\n8943 13444\n5116 15223\n4641 5644\n5050 16304\n5791 10476\n378 16392\n251 14285\n5844 13014\n3220 13907\n13868 16716\n6231 14888\n9071 16781\n5405 6936\n3693 8615\n705 14990\n8487 11702\n12048 16878\n4332 6828\n8340 14859\n5177 9872\n8914 13660\n386 8309\n13011 16853\n4961 8579\n9303 16585\n59 8824\n8621 10260\n1684 7686\n5722 8097\n4175 15049\n7742 8692\n5908 16980\n282 16167\n9143 9498\n4975 9877\n8619 16915\n3457 13022\n4822 7368\n3515 15901\n5840 8243\n4195 8175\n7223 13731\n9128 14249\n5090 15967\n3846 15983\n10658 11874\n2173 5347\n13123 14498\n10658 13012\n12219 13276\n1374 1957\n6400 13047\n5477 5535\n3320 14987\n11780 14387\n3650 13187\n4875 9611\n8916 16795\n7230 10133\n4535 10998\n14570 15956\n697 7287\n5134 15093\n3259 9247\n6051 11498\n10599 14410\n706 3592\n9094 10684\n9936 12254\n1579 14318\n6687 9899\n8009 11689\n12506 13071\n2771 2879\n2471 14893\n689 2122\n12822 12911\n14925 16665\n10665 12493\n2625 16501\n1283 9422\n1510 12814\n8147 16104\n6758 15749\n1021 2446\n669 11819\n3796 14878\n9650 16283\n10626 17376\n6427 13402\n8857 9335\n3206 14943\n5218 5276\n915 12626\n6739 10432\n4089 11053\n2761 14453\n1409 12391\n4496 11252\n1280 7308\n1883 2904\n102 10599\n42 8753\n1885 17245\n2893 10744\n9660 12413\n13853 15504\n12591 12648\n5463 8677\n10433 16509\n5279 17043\n211 12176\n6180 8291\n3269 12641\n12059 16808\n11172 14280\n5022 10080\n5270 14816\n5567 17181\n2226 14233\n2266 16188\n3324 10895\n3359 14989\n2658 15006\n620 6265\n1227 12987\n6107 16394\n3557 17362\n3750 14485\n6975 12542\n6613 7224\n4464 15472\n12107 12649\n5079 7173\n8133 14389\n2269 11593\n4857 16293\n2058 11073\n3787 8176\n4733 16885\n984 15774\n222 9160\n4236 10543\n6409 11390\n8598 17145\n1179 6263\n14435 15435\n4066 13478\n4226 9986\n6264 15628\n1618 16740\n6232 12420\n11982 12090\n11423 17419\n6402 14374\n9732 10773\n7913 12090\n6377 11704\n2965 10035\n2492 9698\n831 2879\n4709 17386\n13871 16250\n5975 14831\n5208 14260\n4294 6369\n1022 5320\n8796 17437\n1508 9348\n2095 14129\n446 2249\n6558 13304\n4366 9395\n1622 7894\n3275 3681\n4264 17432\n5848 10979\n7724 15282\n473 8644\n2300 15917\n1510 10569\n2107 17004\n12066 16122\n2292 14834\n3394 4490\n1136 11177\n10024 14086\n11800 14581\n673 8679\n6679 17036\n9600 10530\n13047 16881\n4020 5611\n3575 7999\n4294 8463\n4216 5656\n10257 10712\n8305 9178\n4447 12140\n10189 11473\n3836 10556\n1968 12128\n2595 16650\n16 3246\n2852 11421\n7052 12317\n5563 10401\n8532 12073\n6702 7779\n491 11740\n11835 13763\n8609 9891\n10250 13415\n2862 8990\n3764 13938\n150 7327\n3767 9399\n2576 5621\n14883 17219\n12043 15033\n1065 3312\n5618 6352\n1566 11510\n4429 10715\n7918 12166\n3303 15095\n7875 12375\n6326 9229\n10951 12848\n3136 10637\n3285 16340\n8285 14850\n14837 15212\n2321 4380\n6526 15047\n7381 13579\n5280 5957\n8137 15800\n9253 14829\n13243 13563\n3712 8516\n501 1540\n9284 12443\n1546 12168\n1229 11928\n1824 11917\n9602 10596\n15551 16773\n2136 3407\n3339 16997\n15763 16393\n9969 13633\n4637 10294\n1347 8147\n634 11839\n471 1141\n1011 9316\n2255 9132\n2320 16166\n1841 16228\n14745 15059\n5034 11584\n4753 12073\n5149 11537\n733 3699\n1936 3653\n8764 14986\n4711 10421\n2412 7677\n8731 11393\n7368 10823\n7451 14296\n11662 17450\n15205 17428\n6388 9249\n2587 5676\n7300 13377\n15173 15246\n12902 16527\n8384 11160\n5448 10055\n12918 14476\n7853 14174\n3172 16313\n6338 8073\n3295 6625\n185 7003\n3658 4165\n3669 10472\n2832 14888\n10349 13041\n1810 4207\n14228 16905\n1195 1837\n1962 5248\n10002 16328\n4630 5556\n10680 13233\n11906 15925\n1705 8450\n4238 17136\n1501 4583\n3226 10087\n11220 16786\n3276 15482\n9108 14937\n13243 13543\n4092 10109\n948 13805\n795 16807\n2312 5496\n3129 14182\n12176 13159\n8846 14062\n5745 11528\n2355 3660\n10857 13543\n10751 15865\n589 896\n1014 6364\n1541 14297\n13454 15648\n2185 7578\n11788 14672\n9708 9904\n4563 5830\n3749 14508\n9840 13812\n14910 17212\n14461 16525\n10089 10424\n11684 17180\n5970 11071\n10034 10875\n4260 4405\n2957 4731\n9823 15160\n8623 9529\n8503 9502\n6673 11015\n12278 14909\n3571 8497\n2152 14706\n1048 13475\n8302 17058\n4004 12986\n5723 7132\n11023 14605\n8117 16041\n6791 12952\n8439 12213\n7460 12929\n8139 8854\n6922 8450\n7860 10141\n538 6077\n2957 13790\n3269 15933\n2218 3543\n13057 17000\n9058 11902\n2869 8370\n9484 9719\n12255 15723\n14451 15719\n1229 12439\n4716 6903\n10793 11884\n9827 10426\n150 6740\n10559 13108\n2561 7114\n10117 14714\n9598 17120\n3678 3999\n9702 14673\n12002 14317\n7522 8345\n5450 7010\n11535 14698\n8489 14450\n6296 13985\n17438 17449\n2050 7955\n10412 17403\n3332 4929\n7877 8426\n11037 14397\n1367 2628\n15230 16095\n7595 10340\n8053 10652\n1020 15773\n11053 15433\n3684 9791\n7860 9560\n252 12424\n2498 5917\n5031 6453\n2864 8126\n4237 8053\n3797 17430\n1468 3621\n11184 14584\n12183 15404\n1133 6614\n2554 12726\n4197 10615\n794 5108\n3889 10939\n10192 17121\n9156 12191\n4044 12782\n4778 12422\n16812 16905\n8073 14494\n9347 15848\n1014 10713\n2900 11365\n1081 13139\n10246 13140\n774 9283\n5118 11983\n2871 7241\n5115 13494\n9129 13634\n659 14436\n7752 12938\n2769 6165\n7129 16906\n7128 15583\n4050 12259\n10723 16499\n4501 10393\n6275 8775\n4261 15538\n12008 15941\n3313 7303\n4248 10202\n4382 14967\n8861 15313\n10954 13882\n627 14350\n7785 13351\n10502 11670\n1025 3214\n3951 11794\n4408 7257\n12781 12897\n4865 5053\n12541 15304\n1287 10523\n3201 7331\n4402 5987\n8601 10024\n9829 10708\n5494 13566\n8393 10542\n3673 13015\n2270 14554\n3549 6763\n5548 11254\n12133 16726\n6594 9525\n1090 15788\n3150 13887\n10299 14735\n7586 12783\n4268 8877\n5365 7433\n1055 2194\n7675 15920\n14075 14169\n11691 12164\n10488 11127\n1261 3279\n412 14221\n420 7672\n4949 14567\n7946 10282\n786 9211\n7401 10282\n3933 4456\n1108 12187\n4003 16135\n8369 12960\n3463 7757\n4498 9549\n9731 16970\n7562 8339\n8258 11120\n2459 16919\n11602 12007\n1119 12253\n10432 15112\n7232 8354\n7898 11576\n3130 8404\n13623 15907\n3325 8490\n2508 12827\n12547 14858\n3107 4930\n1978 3729\n2923 3790\n4998 7999\n2458 7556\n1457 8447\n9932 11060\n5528 9925\n16011 17188\n12294 14396\n650 9782\n13974 16514\n12476 13151\n5584 6635\n8018 8665\n170 1493\n4488 11108\n8519 9911\n4091 16923\n116 2240\n3463 11319\n1258 6689\n13641 15696\n594 8616\n2034 8090\n840 9034\n409 17409\n10154 15672\n9469 13681\n12330 14189\n6827 12916\n7599 10125\n12312 16163\n338 13466\n1367 13843\n6721 9844\n5698 15433\n1251 8685\n5762 14082\n316 12564\n1300 6624\n8179 16544\n13887 14771\n2193 16442\n7498 9368\n5761 11344\n16768 17385\n8752 16079\n15287 16261\n10185 13053\n7820 16337\n13530 16011\n3825 13570\n5638 7148\n13784 14046\n2725 6259\n7435 8537\n6442 8500\n412 12726\n587 8408\n8212 16204\n2864 3294\n16320 17017\n1072 9238\n9699 16776\n4149 10068\n5359 13457\n371 10634\n495 11444\n8970 15201\n932 5546\n92 8026\n4790 6031\n3911 9657\n8193 12954\n4583 10123\n7388 13033\n208 5360\n2396 3467\n13197 17110\n2680 10105\n4049 9298\n5267 10086\n1118 6385\n1847 3087\n13261 17168\n12551 14179\n4620 8017\n3186 5941\n5564 9438\n3252 16521\n16562 16672\n3034 9191\n2704 13532\n13076 14498\n1239 15190\n8019 8929\n5921 11860\n12481 16743\n3234 13691\n2657 16464\n365 11630\n496 15566\n3632 8734\n6189 17254\n1323 7272\n2063 4208\n7004 12444\n6396 14858\n1609 4804\n838 15228\n7094 14253\n477 12329\n641 10609\n12533 16925\n11552 13066\n2197 11058\n14049 16167\n10268 14474\n2384 10352\n12106 13806\n370 596\n4076 7210\n10073 10985\n4801 7158\n9642 13807\n6265 12481\n4622 15332\n10914 12233\n13805 17437\n3581 16260\n13729 14695\n1261 16721\n15431 16822\n710 13884\n4925 14663\n8535 14947\n8513 9360\n2547 16599\n9051 9306\n2910 17359\n5909 13612\n5805 9143\n12262 16243\n3456 10455\n580 15260\n5574 10674\n3637 9127\n861 12981\n15184 17278\n2768 4974\n1824 5606\n5394 9952\n9688 11767\n1638 14046\n5704 13394\n6114 8070\n9720 15910\n12816 16831\n2049 9986\n2047 2691\n5920 10763\n5658 6449\n3320 7344\n4264 8552\n13328 13381\n14808 14889\n12928 16970\n2397 9768\n9912 16375\n10439 16358\n3438 13447\n10180 10907\n4773 4914\n5181 8402\n3577 14531\n8422 16196\n8461 10254\n4634 8720\n5213 11583\n1247 5737\n13831 15014\n1622 13462\n9166 15204\n8474 13272\n7214 13961\n2229 10392\n8118 16996\n3591 7704\n1705 15119\n265 7358\n6986 14177\n1920 4801\n124 7527\n1438 16600\n1604 1713\n3774 5709\n8825 17058\n10214 14701\n2319 15299\n8972 13494\n2276 15396\n7370 16281\n1586 5373\n1840 3855\n1573 12732\n12450 15196\n10561 13941\n4405 12386\n7421 8426\n7870 8194\n8505 14521\n13392 16265\n2303 12440\n4835 9066\n2087 13327\n3880 15135\n243 1159\n7888 11157\n1681 3806\n8185 8354\n675 17129\n1317 5477\n1830 2612\n896 12200\n13732 16344\n5648 9295\n4655 15484\n10008 11692\n565 5713\n14394 17053\n2293 5291\n12221 15458\n9799 13840\n10171 10497\n4610 9293\n5817 15448\n10137 12447\n8481 12339\n6247 9147\n3436 11948\n15468 17103\n13068 14012\n675 11410\n6251 8098\n7097 12644\n13331 16050\n11779 13062\n1564 16783\n12141 17372\n12019 16335\n10830 15282\n447 6455\n7625 13440\n9191 11216\n1228 8899\n693 9872\n4368 7588\n14700 17034\n5997 10683\n11929 13136\n15887 16605\n7264 12348\n14955 16881\n5743 13381\n13057 13612\n5330 7135\n2989 5964\n1685 3155\n3133 13984\n2865 6729\n11775 12608\n5035 12179\n218 4865\n7961 9726\n3274 5785\n3205 6556\n4379 4506\n6083 10197\n14200 16127\n3452 16806\n3904 5407\n3774 7094\n2377 16841\n9512 13563\n9570 15562\n3328 7423\n541 5838\n2631 4142\n6493 15889\n7419 8185\n12383 15581\n6966 16183\n1941 8185\n15956 16145\n408 1869\n2771 3391\n5197 6236\n5854 16474\n9974 10002\n1404 12954\n746 4823\n8207 14427\n4215 10808\n7066 8290\n779 12135\n3843 17072\n4897 14034\n501 3412\n5638 15432\n8780 8867\n593 1765\n4340 12750\n7878 9983\n1308 14333\n2919 15831\n8567 12893\n561 12261\n6645 10598\n13789 17364\n3631 4218\n6014 14249\n5063 11293\n698 13989\n5470 14463\n5617 11010\n1591 16329\n1871 14719\n10888 15833\n11735 11848\n2339 4471\n16403 16875\n12478 14813\n15442 15956\n15476 16062\n10725 16704\n10385 16253\n5508 15119\n12243 12946\n4588 16536\n5889 16726\n7849 12764\n3506 15085\n8167 13718\n157 6196\n136 1715\n1126 15950\n7777 15450\n3435 6758\n3818 11899\n5849 6208\n7950 11530\n1541 16339\n4500 10010\n1398 9454\n1358 3656\n5003 11290\n1689 12833\n3956 13536\n495 12747\n5205 11403\n8312 13100\n13195 13258\n10863 10938\n95 691\n6044 15600\n6040 11403\n5857 10188\n1007 12758\n9680 13821\n6426 16073\n9942 10441\n11270 16408\n9763 10236\n8150 12511\n8982 16347\n14966 17283\n4430 16236\n4694 4874\n4376 13628\n3605 6260\n2897 5626\n2910 6750\n5821 14313\n7187 10265\n12843 15234\n5731 10328\n9855 13085\n4218 8903\n5887 16053\n1070 6006\n4967 9633\n5823 14895\n6357 14401\n4864 7434\n6959 13299\n3270 15859\n4400 14747\n6199 14504\n2800 5757\n1858 13883\n1590 13629\n5215 11044\n1228 16041\n5143 13819\n870 8774\n12884 16256\n503 11149\n8748 15797\n2243 5210\n3445 8260\n13540 15018\n10385 12343\n5856 15412\n4988 17252\n1538 10493\n726 9461\n14325 16422\n11091 11679\n5390 11300\n1403 5754\n4394 9501\n16068 16729\n1206 1679\n4592 4926\n788 2826\n1448 16346\n8284 12843\n10112 14367\n93 6091\n8240 13932\n7639 16066\n262 9977\n5301 10641\n3998 7948\n2054 7519\n7700 9044\n14755 16081\n5363 14424\n5539 17268\n1482 16224\n1966 15654\n11454 17108\n8568 12844\n12587 16638\n4445 7510\n190 6904\n2 6761\n381 17304\n10647 13038\n5714 8873\n2988 15322\n15456 17449\n2498 10989\n6796 6826\n11316 13607\n3654 6424\n12625 12631\n2129 12423\n5823 15431\n19 3908\n15926 16746\n3934 14542\n2151 8164\n2673 16153\n1598 6784\n2191 5415\n9487 13527\n2455 17367\n11767 16539\n3731 10073\n4614 4971\n6128 11582\n1024 10707\n7802 15043\n992 6954\n3652 7345\n4427 13493\n3329 10801\n2650 12665\n4113 16732\n12579 12626\n6655 10925\n7884 14257\n2241 16805\n7644 15125\n339 15292\n6509 11925\n8217 9367\n1047 12478\n2287 9583\n4911 8765\n12523 16842\n4518 9591\n7962 12880\n13591 16309\n140 1575\n14150 15883\n2331 2714\n659 11302\n4442 6077\n2799 2929\n2643 7987\n5028 12522\n7408 16255\n543 7519\n3197 5298\n2895 9630\n9704 12721\n1499 4262\n2528 13629\n5726 13836\n9716 12606\n7198 11508\n7554 17346\n3171 16078\n274 10382\n742 6750\n175 14519\n204 6420\n2208 13967\n1314 3087\n11717 16994\n2148 12349\n2336 4166\n3150 7626\n533 10012\n1246 11574\n3809 7291\n4167 13029\n1350 15419\n1073 13984\n6508 7839\n10426 13530\n3628 7060\n5144 12540\n16176 17070\n1436 14239\n12618 16551\n2117 15000\n1691 7420\n1299 2935\n5954 15493\n1731 15790\n5261 10756\n4896 16047\n13281 14629\n7309 12579\n6588 12227\n4813 11577\n1237 13710\n5747 10471\n2846 14907\n6338 14286\n7780 14465\n10873 13338\n9274 10366\n1140 16895\n12567 14219\n2125 8832\n7241 9438\n6787 14067\n4082 9039\n1868 11630\n9465 11294\n288 15382\n7682 15243\n3469 9772\n3366 5133\n7929 8359\n2265 10269\n8753 9931\n1390 5941\n9876 15657\n10105 11249\n2106 10487\n315 11256\n2430 13485\n4506 10841\n9272 12655\n15121 15819\n4964 12553\n10016 16771\n3096 15885\n13014 15024\n4360 16882\n9306 15079\n6732 10512\n8394 17256\n14493 14560\n3632 6164\n1793 14474\n624 9242\n8885 8909\n6783 7935\n4193 14580\n9941 12590\n10806 10977\n8488 10070\n2316 7563\n11441 13853\n12443 17221\n12714 14604\n3429 3581\n1187 4141\n3789 11963\n841 9669\n3366 9207\n2297 8246\n3265 5576\n10438 15499\n10237 16577\n4428 5531\n3420 8188\n1230 17309\n374 2377\n1731 15196\n17 12446\n774 10101\n2389 4497\n4787 7764\n9728 12190\n7434 15196\n5679 9162\n6256 7819\n8426 13641\n1739 14943\n7080 14942\n1807 4779\n6150 15119\n5473 6696\n8315 10643\n6719 13656\n551 10372\n7037 13490\n3384 10100\n6434 7473\n326 12954\n9827 16342\n2706 4805\n6319 10213\n9583 10226\n8043 16698\n1960 16294\n3000 13224\n145 11565\n8824 16325\n1042 12374\n1520 12352\n4434 16537\n6964 11259\n4528 14191\n891 15683\n13196 14258\n2102 16824\n11276 14525\n9421 16311\n1663 5574\n382 7212\n4682 7592\n5295 13038\n5643 9217\n4113 14528\n7002 8803\n8934 9930\n9506 10714\n3285 10845\n6893 9007\n3508 14094\n1764 15824\n4341 12319\n639 7215\n2098 12222\n6106 13162\n4387 13840\n3605 6195\n3188 6108\n3185 14821\n12027 12832\n8754 9239\n5857 13494\n15578 15611\n8974 13035\n272 14305\n3425 10375\n283 2096\n4382 4468\n5077 8463\n2099 16893\n2351 5498\n15038 16265\n5973 17115\n9261 16484\n5461 17175\n1466 10818\n5400 13945\n6148 13830\n9531 10958\n9994 14872\n1926 9949\n1977 8109\n3367 8480\n9708 10612\n3204 3872\n4151 10171\n10996 11651\n8793 11136\n11214 11721\n2645 10659\n6988 8399\n7820 17386\n2054 2866\n35 9068\n4793 14093\n1288 2935\n10065 10853\n13763 14381\n5601 6123\n12441 13621\n12034 15021\n10076 12446\n8340 9685\n2060 9704\n10382 13401\n486 8226\n3848 12646\n9527 10888\n938 9436\n10451 17055\n6383 11164\n5342 16578\n9572 16447\n6273 16566\n10028 16598\n12300 12810\n7416 15950\n13424 16915\n4144 8167\n5922 10465\n9393 11308\n7903 12679\n6636 10851\n2083 16296\n3376 9276\n609 10368\n2051 12506\n9045 15035\n14484 15562\n10150 12059\n304 4190\n7592 11578\n2552 14528\n5106 14526\n3862 11711\n2257 8585\n7533 13904\n1409 5265\n89 12054\n3895 16012\n4053 15259\n15303 17309\n13368 13627\n192 5032\n8223 10668\n3075 3197\n639 4317\n6344 11621\n1026 16387\n7394 15502\n3760 11392\n3026 16142\n9031 9256\n14522 15237\n4932 7596\n2011 8662\n1614 8064\n8315 13038\n3249 6891\n11291 13677\n8646 16421\n883 8684\n4022 15206\n319 16316\n271 15295\n3320 4131\n8109 10759\n4093 9640\n4613 10399\n2252 12899\n10594 12005\n6886 11858\n12353 14037\n11969 14401\n5483 8482\n2296 14281\n10101 16692\n5279 11052\n7067 16940\n227 15103\n486 10416\n2727 6547\n1130 2632\n2209 12293\n9596 17341\n10431 15581\n854 13122\n5219 10864\n11100 17168\n6883 16660\n4120 16672\n11113 12328\n7471 10208\n5294 8047\n4037 5515\n1554 9157\n1550 11852\n4638 16443\n886 14656\n5863 17275\n1872 3098\n6087 7610\n5243 6998\n6828 8772\n2215 6876\n3551 11439\n5340 8738\n3325 9720\n10579 13064\n12096 15150\n13920 16387\n3258 13815\n982 15860\n5809 6426\n9202 10828\n7111 16517\n683 7116\n1517 4273\n3871 12859\n6028 14936\n2735 12387\n1255 1630\n5588 9058\n1637 15540\n74 10333\n2433 2732\n1952 10694\n12572 15830\n710 2957\n5426 16172\n1604 12577\n2110 5586\n2058 5658\n8154 14653\n2585 15215\n3705 10567\n3157 6284\n325 16121\n2939 10764\n13749 17207\n2128 14631\n2303 9414\n609 6463\n68 15748\n8682 15582\n2827 3330\n5489 10765\n13151 14285\n4926 7583\n4450 15689\n2656 3512\n627 16273\n5903 15759\n3838 9866\n10061 13910\n233 8587\n6997 9450\n2459 15751\n1951 13641\n4601 6787\n3284 3741\n3277 8634\n4041 7417\n2054 11257\n8381 10805\n15796 17190\n1919 2905\n11568 16840\n3126 9990\n9223 13368\n4067 11600\n3801 5679\n3729 15838\n7320 14048\n1979 8558\n2540 3650\n6250 13753\n7853 11115\n1966 8600\n890 1128\n4440 11886\n9921 10944\n611 2533\n2375 14068\n6905 12214\n12673 16637\n9626 12533\n1421 12886\n6803 9896\n5312 14774\n2553 7990\n1315 17279\n3217 4389\n13347 17059\n16911 17355\n6481 7386\n1505 9857\n14840 16773\n1979 12052\n8702 13084\n10506 16754\n13661 16327\n2475 12911\n4147 12494\n1733 8565\n5038 16329\n7360 10083\n2492 3472\n2057 15020\n2950 7009\n3123 17211\n3279 17057\n744 10086\n10513 11177\n1776 10608\n164 8815\n10299 12602\n10303 16972\n14165 17222\n4072 13050\n13205 13407\n2305 12969\n3960 16094\n404 436\n2950 15392\n10657 11782\n15621 16869\n59 13418\n13716 16027\n16883 16926\n1754 8259\n13781 13962\n11140 11737\n3783 6784\n3979 12711\n2575 12555\n4895 7277\n13607 15473\n6765 16441\n2092 9653\n3308 4132\n1 54\n5027 9400\n8282 8401\n9475 12376\n1603 9070\n1326 15546\n10550 17184\n2841 7803\n11133 13744\n4675 5354\n787 12068\n69 13635\n8224 11766\n11328 12040\n4567 6074\n2115 12083\n3989 10744\n384 13557\n10751 15743\n4382 11802\n4539 16374\n4225 10480\n701 12340\n4861 8963\n135 9893\n6617 14978\n5228 10270\n991 6658\n175 17409\n183 8149\n758 12914\n5423 6548\n1382 8322\n2272 14846\n400 2898\n1077 3267\n9229 13352\n10008 15821\n2542 4864\n11570 13759\n10464 10674\n25 12835\n488 14768\n2835 4773\n7563 13787\n14652 14973\n6149 7556\n7960 8899\n7099 9040\n7990 8059\n916 3106\n5702 10394\n13557 14207\n5822 14848\n9613 16801\n6846 11945\n966 6676\n697 14573\n1660 14537\n2132 14033\n7755 15583\n2758 11308\n1034 1546\n6295 13092\n5260 7420\n1219 11675\n5193 15397\n2557 13795\n2508 14824\n12165 16162\n8856 12423\n11131 15983\n4321 15378\n4471 15664\n4177 11076\n7964 16827\n2185 14033\n171 3517\n9117 9184\n10028 15921\n10623 13272\n8295 9957\n4006 15075\n3267 5287\n10317 15120\n3537 9321\n10757 13179\n12417 14498\n9270 9930\n5956 12168\n1671 9788\n3244 7880\n10210 16612\n6499 7680\n176 9791\n2801 5697\n696 16345\n7495 15074\n10541 16124\n2233 17287\n3932 11785\n4554 15708\n5131 6729\n1349 11684\n1435 8956\n977 2146\n1629 14814\n6331 15159\n6080 17313\n10292 12145\n8404 17081\n117 6091\n1645 7731\n2095 15532\n8996 14317\n10997 16823\n374 2669\n1475 1569\n10676 10681\n3813 10454\n13237 17026\n6973 12932\n6475 9013\n4717 6623\n1908 15835\n3762 6831\n1181 2530\n534 5743\n5085 13857\n1200 16399\n431 1052\n10053 13135\n3677 16601\n5024 14502\n8365 14569\n796 16717\n1412 4878\n1612 16143\n16107 17180\n3434 8552\n10625 14952\n1996 7757\n410 13428\n5115 9541\n659 7021\n8030 9569\n2860 7385\n4528 9919\n3951 16461\n14300 17269\n2564 14142\n5509 16028\n2380 14711\n2941 11376\n6009 11336\n1223 14005\n8846 12842\n10777 16997\n15847 16197\n11593 15887\n4078 11135\n134 7300\n12000 15869\n8710 11908\n2149 7479\n8703 13162\n5962 12167\n3917 16215\n8858 10009\n9971 16920\n8752 14061\n4147 16203\n10428 15363\n12776 15779\n11681 15320\n8981 14209\n3140 12045\n1681 2388\n1344 12748\n4770 12003\n2365 11349\n4156 4774\n13131 15668\n12364 13793\n12933 14903\n3854 4188\n5706 7325\n15691 16982\n1339 12575\n3891 7750\n7839 10786\n7251 15661\n12004 16646\n2681 13682\n15523 17417\n367 12292\n2207 17155\n8435 10997\n1049 2081\n8047 12244\n5473 13542\n562 1717\n9045 10368\n8374 10908\n3775 9135\n9898 13038\n11360 11885\n267 8326\n10432 11229\n4211 7156\n1540 17326\n1969 15261\n10185 13677\n8028 16495\n15578 16017\n840 8535\n5453 5941\n6897 16062\n6924 8706\n9079 10951\n11638 14883\n4129 4782\n7423 11722\n6488 6716\n5272 16963\n6839 13163\n1590 13652\n5340 9598\n6140 17362\n3964 8331\n1429 15522\n3960 9428\n2624 9538\n12969 13935\n4605 10679\n189 14018\n6439 8255\n10198 12291\n11598 17396\n15249 16690\n152 8006\n2273 15921\n9662 14454\n9062 10687\n11227 12763\n4184 8401\n3237 14415\n876 12274\n751 13375\n5631 8429\n7046 10355\n9653 14616\n9899 10859\n4327 5767\n7841 17371\n280 1894\n26 14171\n1698 4806\n5838 6205\n8984 12231\n7743 13721\n7010 9165\n6455 14913\n7790 17068\n149 1115\n899 8913\n1024 11485\n1256 3115\n632 9308\n6417 13030\n6645 13403\n15799 17200\n3642 12566\n550 6584\n3346 10283\n6562 13165\n13198 16498\n444 4916\n109 14298\n546 17211\n5319 8076\n1160 15145\n2333 15139\n9860 12009\n6654 11128\n2515 14223\n5748 11315\n13018 17223\n1564 15473\n6080 13781\n3016 12602\n9751 11862\n1833 14594\n9640 11036\n759 13424\n9155 15315\n8061 13514\n4255 6585\n12289 15253\n4621 14932\n530 2161\n2123 10746\n4567 6855\n831 8802\n8528 10161\n3010 3513\n771 13218\n10936 11829\n4477 7810\n5317 7127\n1327 7359\n8331 11357\n15213 17388\n10942 13507\n11764 14778\n560 8157\n2700 2735\n5763 12058\n3563 15109\n1554 15405\n6402 12858\n6667 13853\n5386 11619\n3535 8764\n3395 13509\n12000 12896\n7108 15785\n178 1187\n3886 17348\n10447 11670\n776 16540\n6556 15372\n3675 12541\n3866 4125\n10922 12157\n456 13324\n8892 13209\n12096 12258\n1150 10486\n5042 14561\n6295 12452\n1002 9443\n6490 11531\n1607 15514\n9094 13896\n876 17370\n6101 15606\n6474 15074\n3567 3936\n3224 11210\n3362 9593\n10996 15411\n2402 13734\n1483 11611\n9937 12277\n1074 12232\n7574 14900\n4775 13462\n5159 16451\n14627 15021\n3835 8536\n2559 13690\n4308 6784\n2724 12908\n537 8113\n774 15199\n7686 17409\n7573 15978\n3389 13122\n4044 9050\n7330 9763\n9129 10291\n2936 8568\n211 3084\n575 6302\n5046 9127\n9693 14362\n14203 15296\n10162 12634\n5801 10308\n3967 10379\n3456 10191\n2166 9345\n1491 17191\n836 5272\n12016 14773\n6858 8284\n6993 7406\n1466 6248\n5233 12955\n6121 11948\n7085 13387\n2287 12658\n14540 16527\n7215 11615\n15575 16642\n4238 13198\n1567 4548\n163 4565\n7456 7934\n1164 7067\n5288 17206\n6252 13306\n5077 7368\n13516 15862\n7623 11368\n3649 6400\n4097 4129\n4170 8224\n526 15715\n7605 13262\n5750 8156\n5122 16317\n4331 12528\n582 1508\n8432 10526\n7209 12078\n6283 15149\n8920 15077\n10977 12723\n282 10893\n4363 14539\n892 12999\n6173 7800\n4665 6758\n15261 16982\n5859 8859\n10786 13005\n7010 15859\n1 2068\n11332 14307\n8056 13762\n10235 11959\n15639 17461\n9220 15642\n10646 13801\n5445 7071\n6183 7007\n324 10676\n2011 16228\n2916 8497\n10908 12128\n4456 10863\n548 7562\n2160 15233\n2554 9189\n2879 8333\n8684 15470\n5304 15873\n411 16377\n5312 11116\n205 3971\n13817 14927\n9301 12935\n4890 10950\n6694 14944\n1579 6527\n15286 17432\n5975 14160\n2506 3565\n14107 16598\n3240 14362\n2787 7633\n1220 15644\n10636 16133\n7663 12469\n2547 3016\n9036 9265\n9499 15452\n6483 11846\n2871 9161\n2918 8466\n1900 15176\n2533 6092\n13802 14237\n8885 10017\n6507 7850\n1503 9698\n4972 13877\n209 11450\n16531 16746\n3054 13238\n5132 8540\n330 6871\n9377 11904\n2069 9299\n1382 4347\n2286 9318\n3363 16361\n12655 16740\n8533 11886\n7097 11878\n6737 14267\n1125 9613\n9698 16010\n7306 16507\n338 2499\n8056 8252\n3970 12965\n10060 13908\n1859 12167\n12668 14011\n3707 10164\n14098 16168\n11137 13895\n9415 16545\n5393 8866\n16110 16942\n8486 10391\n5913 7396\n1664 11965\n2335 7169\n1739 10763\n2580 6154\n10502 11813\n937 1154\n647 17303\n3491 12244\n1138 17285\n3841 12855\n4357 11407\n12906 14689\n952 15066\n3261 13601\n5324 9432\n1716 3564\n1041 11360\n2080 12372\n9971 12579\n4492 15069\n7098 13682\n10906 11213\n11834 13140\n2421 15037\n5829 6656\n2 12498\n9152 10241\n16007 16319\n4596 7669\n6802 13143\n6049 16008\n1198 14263\n1016 12551\n9898 14756\n7627 13431\n15875 16860\n2635 13251\n6325 11470\n16669 16748\n786 5481\n2912 12863\n2083 3695\n4882 16692\n7980 14742\n12332 15302\n11467 15002\n926 14301\n10822 15193\n10686 11574\n7642 16413\n5143 16255\n9843 12325\n7124 9096\n660 14733\n7258 9277\n1820 11902\n8296 15968\n4576 8203\n7111 9413\n10232 13372\n3648 5168\n13391 13700\n9025 12911\n32 9053\n1215 5460\n6716 8373\n4774 5621\n6907 13299\n7018 11421\n6070 16088\n16450 17231\n8420 12341\n7658 17022\n246 15214\n12036 16489\n15214 15873\n7992 13106\n5501 7725\n10701 14779\n4253 12907\n14521 15180\n8305 13489\n910 6192\n13717 14168\n10263 17086\n7589 13113\n4328 15855\n2511 15022\n1438 6031\n4339 12337\n5092 15728\n1669 5138\n9272 11564\n10220 12821\n9393 12023\n1069 12463\n909 10762\n7968 12738\n6702 12045\n12686 15921\n11621 13208\n3455 6721\n2456 9079\n5947 6321\n12122 12332\n8133 12133\n5888 15273\n7165 13353\n2914 9404\n1360 11981\n1201 9666\n9403 13239\n8847 10220\n5846 11375\n2260 3061\n15838 16597\n3948 14288\n3342 15772\n6038 6844\n1581 3708\n9931 10760\n2583 3298\n3961 10443\n6788 9290\n47 1894\n1666 13039\n10170 13795\n10164 14336\n971 10727\n5629 14393\n7734 12319\n10117 11230\n5947 13977\n7826 12138\n10538 12626\n517 3792\n10471 13872\n2954 5788\n13952 16224\n7558 16910\n1153 4481\n8325 9359\n9397 9895\n15124 16562\n5961 8240\n10129 16001\n6649 10228\n1522 4230\n6168 8659\n8860 12003\n2921 11779\n494 4247\n2612 6559\n9642 14928\n1983 7207\n3147 9407\n3006 4152\n380 13678\n6938 12891\n13331 16964\n675 14761\n7311 8842\n5610 10034\n6231 12117\n4690 17121\n1209 16066\n514 7334\n156 1291\n8095 14762\n14504 17225\n9080 14053\n347 2765\n8898 9774\n4829 10362\n6055 9514\n13322 17269\n9164 17314\n217 15073\n7770 8683\n3763 5740\n1700 11484\n3785 17374\n8503 12902\n11370 15303\n9538 9621\n973 14758\n4276 14142\n6945 9104\n6246 12455\n8021 16058\n15559 15659\n8523 11095\n3197 12577\n7817 10223\n4643 12350\n6454 15349\n3058 11079\n13974 16117\n1365 1917\n4777 5150\n3183 15984\n766 16962\n746 15188\n7911 8345\n11650 13328\n7230 12924\n332 7987\n11486 13078\n1238 6640\n12090 12649\n12282 13860\n3180 13845\n6196 13413\n3907 6412\n9979 17383\n2371 5349\n7345 12543\n7222 11194\n7447 15086\n2362 12019\n14291 14935\n4159 4934\n6804 12231\n1353 16144\n3627 9879\n261 17059\n3670 7101\n3122 10234\n8159 14841\n8022 11551\n5550 16955\n5491 15059\n12913 16881\n7440 12625\n6129 8172\n3436 7000\n9203 9555\n12453 15716\n7599 9618\n12310 13637\n8556 14060\n5242 13607\n2558 5430\n11737 13094\n2273 8260\n2420 14040\n2638 4689\n792 14496\n7347 14891\n6256 15661\n4702 10076\n11272 12963\n5159 8344\n1754 13821\n2065 10155\n12853 16335\n1096 6601\n10659 16993\n1299 8905\n14456 16489\n2545 13286\n834 15274\n9777 17143\n11741 11773\n13320 16098\n12676 15593\n2101 2114\n3023 8901\n6043 7180\n5016 6082\n6593 7569\n1497 4543\n10170 13459\n1919 9499\n9280 12905\n11530 14441\n2719 9866\n5225 17110\n14122 16443\n497 10943\n9209 11994\n11271 15624\n1775 10571\n6934 15936\n5041 16372\n7255 11723\n4831 10172\n2643 2756\n2699 6217\n3926 13594\n3202 12413\n1499 17364\n2208 14645\n11235 17179\n2246 13733\n7027 12035\n8490 11695\n6877 8953\n2132 5249\n8050 9952\n879 6701\n4453 6080\n14449 16781\n623 5192\n6112 12386\n2678 14151\n5878 6673\n11216 15686\n2904 16156\n1840 1874\n7220 11860\n564 5583\n1110 9025\n3835 8022\n5758 8546\n9083 15036\n5517 8412\n909 4945\n1778 15895\n4589 6984\n9997 12382\n12100 16866\n6119 9499\n13267 17045\n11218 11670\n7240 8888\n10793 13945\n7043 13423\n7688 12169\n1983 9334\n4692 14589\n4659 5894\n3742 8255\n2379 14393\n1403 15614\n2357 15368\n1702 9662\n7981 8559\n609 17232\n6339 16375\n2676 11234\n13120 15991\n9622 10809\n3369 7180\n3897 4712\n5100 14833\n3263 11120\n7726 15415\n6342 13487\n1094 1215\n13450 16337\n15009 16488\n4807 6604\n8986 15248\n7795 14703\n7823 12777\n1659 11838\n7306 10233\n7403 8471\n4238 11838\n14145 17402\n5974 8932\n6177 9239\n5877 13922\n8378 13680\n411 10953\n16066 17270\n3142 7438\n1059 1585\n2432 16337\n595 5887\n13249 15076\n8672 15291\n11360 14325\n1665 2125\n3643 14301\n7580 7865\n91 352\n9550 12012\n6622 9536\n3538 13622\n7739 8689\n3038 10063\n1358 1653\n99 10542\n3895 6751\n2154 7406\n2303 2617\n6225 12539\n7278 11362\n230 13680\n4994 9127\n9653 10108\n1362 7314\n10277 15323\n1077 1846\n5516 7932\n78 17284\n11689 14588\n4134 13829\n6819 13697\n1881 17371\n10815 11814\n277 711\n12940 16553\n1656 12131\n2249 15976\n2693 2898\n1836 4831\n957 6504\n440 5766\n1716 6942\n11656 11951\n6422 11194\n3600 10043\n1847 17364\n6608 12431\n8731 15798\n3667 17182\n1351 13009\n3465 16071\n7213 8860\n2311 6271\n9239 15692\n2009 15850\n2795 4566\n6643 13635\n10481 12558\n5532 14678\n10118 15693\n2872 14521\n10441 14142\n95 7012\n7403 14611\n4372 14853\n6469 12380\n3749 8850\n4382 9712\n6860 16718\n8709 10866\n4736 6775\n2358 9697\n8606 12057\n5123 6663\n5781 9295\n7953 15021\n6626 14393\n1971 10834\n659 14274\n9373 14488\n4801 17333\n7286 9412\n5141 8703\n4711 16538\n3633 7887\n11598 17216\n3944 9505\n6127 17127\n4345 16394\n5395 14902\n10943 17359\n14845 15378\n3825 10210\n2253 13292\n957 5776\n2179 7937\n4517 12035\n2356 2586\n4252 14369\n3633 5919\n6827 15571\n4991 13728\n1907 13707\n4805 8621\n9993 10749\n13595 16242\n14107 16455\n4870 14198\n4863 6213\n10516 12239\n10281 15263\n1815 15446\n7886 13474\n4380 15281\n13157 13596\n2018 13564\n1929 12338\n2004 15059\n157 4066\n4197 7575\n8060 13635\n6285 7249\n3991 11196\n4197 11009\n8246 11610\n5525 11154\n287 1263\n7056 12466\n9345 16514\n13311 16064\n8977 10247\n1573 10141\n6979 9075\n2074 12723\n7865 12899\n758 4250\n9149 14854\n476 6109\n1506 14223\n8711 9120\n7077 9928\n3857 5694\n5354 6031\n5920 11774\n450 16007\n3928 4164\n2593 6806\n16601 16835\n1607 11198\n4649 13611\n745 8575\n8208 14052\n1755 10800\n3842 8690\n406 5026\n1179 11040\n5088 12839\n10582 14581\n5582 16477\n13325 16929\n4627 16062\n2754 12992\n2569 16863\n6028 6297\n9830 12472\n5015 9424\n2170 3026\n5154 15147\n1162 11824\n7068 15455\n12610 14487\n869 10739\n582 7666\n5140 10965\n6195 12480\n1998 13700\n1859 5719\n2726 14625\n8254 16311\n1183 8947\n3107 7279\n2259 6982\n11395 15686\n5446 8769\n7242 16737\n2794 4264\n2400 8014\n3081 12917\n187 12827\n1575 8831\n4729 13312\n10234 13131\n1710 16613\n13377 13743\n4244 5083\n1384 12649\n1160 15239\n2229 10893\n9362 11340\n6439 11340\n5098 7365\n961 10192\n11196 17333\n6688 7377\n5721 11851\n3077 3880\n12986 13458\n8129 16199\n11818 15508\n2408 5401\n7175 16900\n5677 12577\n2758 4463\n2804 9962\n5464 17128\n2737 12377\n660 7307\n11454 12050\n7732 9685\n13964 17415\n4765 5098\n6467 6475\n3316 8231\n11671 16198\n5697 16875\n5822 15087\n698 13848\n6837 16704\n9123 13110\n792 1048\n9990 16581\n4645 12233\n280 14507\n972 9157\n1854 16810\n6175 14076\n1536 6784\n9282 12649\n630 7361\n2184 12127\n321 11231\n8682 11710\n21 2118\n9570 16750\n15476 15849\n12730 16395\n3685 6007\n1556 11347\n2466 10641\n1881 8948\n1730 14552\n11564 11801\n9894 13660\n441 16689\n2537 6957\n747 2101\n7882 15423\n7477 9062\n6143 13379\n610 15472\n138 4189\n6604 12927\n3527 16162\n6585 12302\n15179 17273\n1882 15789\n4834 17348\n13107 16875\n2555 6378\n9737 13811\n2155 3531\n12712 14943\n8094 11959\n7902 15273\n3933 15269\n1484 8559\n13872 14787\n1946 16220\n6802 15249\n3056 11463\n8396 10623\n4000 7936\n11133 14810\n66 2539\n7059 10409\n9417 13988\n9982 17036\n13018 15483\n9834 13117\n4189 9956\n313 4434\n8241 15959\n16119 16945\n569 15397\n3353 13182\n218 2195\n8013 14350\n12700 13428\n576 5871\n2687 6947\n4779 9995\n4559 15356\n13447 16518\n9990 14977\n7487 15363\n15058 15184\n7111 9878\n5898 11888\n5244 12094\n14587 16762\n2723 3341\n8168 15666\n66 4882\n15627 15815\n1748 15013\n4780 5811\n980 16968\n9749 13362\n6125 12782\n6865 7997\n2384 4001\n9465 15788\n7521 9171\n7676 11660\n4546 15011\n5359 7674\n82 5154\n242 679\n14606 16534\n12010 13902\n3240 6197\n10219 16922\n9829 10064\n2856 14290\n9261 13577\n3323 5449\n919 5310\n8697 8710\n11352 14498\n7006 7294\n6649 13847\n257 7163\n8794 10925\n2140 10977\n275 11262\n1900 9237\n3417 16133\n10449 15886\n1093 7732\n10810 12107\n5164 17406\n2348 6213\n3740 13409\n7461 14061\n7069 10404\n3833 4327\n1130 8809\n4245 8702\n7875 14367\n7122 11124\n1527 5516\n428 3369\n7648 13823\n2149 5136\n51 9804\n5944 7430\n3995 15853\n13404 14593\n8480 10766\n3331 11301\n11785 13694\n6153 11324\n7577 11553\n1331 11265\n15689 16451\n3719 11936\n1747 8001\n1115 5496\n1130 3734\n2601 8963\n3998 7367\n5051 14157\n8051 10899\n6918 10080\n3233 14696\n2663 7639\n7839 9686\n6714 12169\n10275 11891\n11776 14874\n14357 16221\n7575 13847\n6971 17001\n732 13524\n9337 10085\n13574 15057\n448 11805\n9827 17200\n13027 17308\n4288 15821\n5715 11406\n6006 15492\n4558 11344\n8570 10896\n2244 7768\n6778 13781\n1072 17415\n9213 13625\n3987 9642\n1098 1211\n12164 16862\n2141 4939\n9212 12747\n4935 8767\n10846 13351\n408 15198\n13091 14952\n225 7299\n7013 13019\n1529 5186\n3025 4454\n7713 16908\n13451 17154\n6754 14940\n7997 14508\n6401 13069\n362 15315\n5261 13618\n2428 5204\n14665 16945\n6335 9172\n4383 16913\n13283 13657\n6452 6770\n969 6395\n4246 13545\n1642 6372\n7236 10510\n11058 14870\n2586 5258\n2807 3535\n8286 8579\n634 749\n5271 5324\n9916 12421\n4281 9942\n3349 9413\n6353 7515\n10946 14779\n2735 4290\n626 13817\n208 4826\n9546 14439\n7766 16792\n7641 15860\n2133 13571\n1428 2569\n7887 12155\n1842 7595\n12904 16578\n4870 15955\n9036 17118\n697 3083\n8171 8329\n6821 8967\n2510 3885\n3838 12180\n3164 16634\n1641 14926\n7173 10783\n11148 13040\n10422 13991\n9604 11298\n14592 14761\n4430 10451\n608 3546\n1693 6330\n11837 16226\n12151 13449\n2604 9578\n6993 9468\n6079 15470\n5927 8779\n7081 11652\n5632 8498\n6781 9341\n5184 8855\n4418 6871\n9904 13832\n4733 13846\n6071 17109\n5374 16156\n321 15071\n5656 14946\n7401 13021\n2651 10869\n12847 16137\n10415 16424\n7739 12282\n11136 11537\n6809 14093\n262 3730\n16645 17005\n1443 6046\n6722 15834\n120 11314\n6217 7988\n15165 16408\n7700 10110\n3405 6252\n6733 15482\n6746 6913\n9348 10227\n2355 12630\n3032 13825\n3676 8546\n6158 10109\n4399 8152\n3837 16745\n14956 17119\n11626 14799\n7671 16316\n7416 15975\n13618 14360\n3308 16983\n10039 10743\n11024 14723\n4566 8777\n9646 14309\n9182 12384\n15177 17359\n11554 15679\n11260 14736\n12485 14377\n7717 9858\n316 6886\n7219 8758\n3722 17008\n7213 13047\n2539 12445\n6110 7862\n6998 13452\n5103 6233\n2071 5943\n3547 8168\n2220 8452\n4002 12160\n3134 8957\n13268 16712\n11494 15442\n2579 3249\n5943 7976\n1608 8046\n11297 16541\n11039 14197\n6995 11730\n6760 7932\n784 4015\n7205 7212\n3267 10997\n276 16115\n1515 4551\n13296 16597\n6635 10989\n13775 14778\n3662 15020\n1725 7265\n1223 11179\n4423 13032\n12178 15163\n4733 16581\n3987 9761\n1331 15174\n13493 17450\n5013 14658\n5933 16790\n115 1743\n1686 11082\n4127 7377\n7104 11421\n12115 14142\n5946 9996\n2253 10687\n3914 17366\n7890 16571\n7064 9114\n2525 14446\n8153 14654\n12709 14714\n2194 13223\n7896 14709\n2607 16068\n3894 11941\n3605 13916\n9936 14808\n13606 17188\n87 16931\n1227 1254\n8897 17243\n649 17349\n852 5341\n7420 12503\n1990 5588\n365 10051\n7368 8977\n10349 10462\n1255 11326\n7848 12126\n2168 3439\n687 13080\n4312 17313\n6742 12525\n4963 6777\n1171 11933\n8427 16423\n13098 15036\n8333 9331\n6376 7400\n3711 8114\n5213 12163\n602 11181\n3343 17327\n305 779\n1246 12049\n5502 15175\n6107 15240\n9499 16125\n13928 15564\n10160 16080\n7651 16487\n10063 16449\n6478 16274\n4328 16393\n9346 13843\n891 5861\n10360 11277\n10158 15491\n2014 3257\n6005 14503\n4333 16816\n6455 15837\n6285 9468\n7055 7646\n12980 15347\n14871 15278\n1838 3137\n9407 14397\n4085 12829\n2237 2647\n14950 15810\n7948 8981\n485 16242\n5957 14444\n5831 12381\n9654 14737\n6928 16715\n230 11909\n1257 9027\n10275 13367\n9066 14195\n12154 12970\n3726 12999\n139 5097\n2948 12498\n3845 17124\n2576 8210\n15635 17168\n12673 12940\n4334 9039\n2942 14390\n6769 10615\n5688 9495\n15097 17231\n2870 4314\n1857 12996\n1431 11942\n13865 13891\n6423 11240\n8369 10490\n5662 11917\n4748 12415\n4357 5827\n1235 14350\n1871 16158\n5032 16313\n7336 11081\n1084 15594\n1552 9471\n13654 16320\n11196 12634\n1548 4443\n5285 16908\n230 2998\n5263 16943\n12293 16631\n106 4914\n3894 13280\n354 9762\n14523 16056\n6549 10119\n9579 11191\n4842 10189\n10506 15157\n8831 14391\n10075 14601\n7386 17445\n9239 15251\n14285 14680\n10350 12148\n17056 17432\n10518 14061\n3998 4061\n2943 11670\n3175 16942\n228 10606\n4268 15795\n14583 15203\n3158 12832\n5212 14079\n7767 13896\n1520 8751\n7681 10912\n8203 11133\n7804 11410\n11803 17064\n7109 8128\n4525 10231\n5258 7382\n6721 10128\n4521 7189\n1219 1940\n6958 10151\n12491 14436\n1170 6149\n6392 15621\n1785 7899\n7731 8702\n1808 16550\n2934 10912\n5107 5732\n10792 14462\n6774 10064\n1420 4863\n6779 16282\n946 17350\n399 12773\n1697 14765\n4090 11733\n15734 16409\n1142 11685\n4411 6912\n3108 15093\n3538 12013\n1163 11495\n4748 8678\n16546 17398\n14006 15911\n10104 12327\n11970 14626\n9550 10853\n13087 14388\n6841 8974\n1832 8282\n4681 14454\n4502 7243\n2294 13491\n6021 13785\n2658 14091\n50 8647\n3695 4361\n8428 12103\n6290 17220\n2474 14730\n70 16595\n8503 12176\n1221 4217\n1268 14100\n10721 12869\n10691 12605\n9005 14490\n3338 14739\n3994 16229\n7894 12740\n4912 13955\n5202 14348\n3753 9027\n13355 15559\n5991 15625\n7406 14912\n11293 15977\n1223 2350\n1103 5462\n11890 13865\n3038 13690\n12402 15166\n7748 7813\n1377 13889\n6387 9408\n2884 15914\n4891 10264\n524 11837\n7348 12517\n6815 11375\n9642 17269\n10702 11572\n5283 10460\n7428 16927\n1036 8058\n7402 9782\n11469 15783\n13331 13678\n8718 13145\n3977 4679\n2860 4270\n11908 15446\n14793 17203\n15881 16854\n7443 7865\n6235 12396\n3159 9096\n3970 12635\n1656 9024\n4815 16528\n4528 16958\n235 9450\n14636 16366\n6294 16112\n12544 17363\n10045 10933\n5545 17262\n5956 9574\n1350 10202\n4274 13332\n640 4347\n4052 12819\n6463 14667\n2653 11634\n2444 13044\n2042 7423\n3176 9545\n4008 17285\n5277 16913\n5933 10335\n9610 15120\n13894 17078\n6226 12278\n13980 16093\n6433 14485\n7733 12635\n1417 3895\n1867 14796\n15581 16971\n6495 13983\n10063 14650\n13753 16854\n1553 16183\n7435 14983\n5817 14249\n7748 13164\n2930 4103\n13348 14731\n8841 9803\n4363 4538\n2334 10585\n6133 15569\n4041 7823\n2916 10743\n85 16796\n957 1783\n3399 6170\n8294 8554\n3295 13573\n569 7477\n8015 11865\n332 797\n88 414\n6394 11733\n8852 16476\n12834 13365\n13716 17332\n2083 3242\n7980 12778\n5448 5450\n2336 14177\n1571 8723\n7380 14463\n2013 6015\n1044 15954\n6066 7351\n4956 13292\n7815 10376\n8481 9338\n2293 13758\n1129 2182\n2909 6645\n14349 15888\n4026 11901\n5748 15559\n805 3402\n1459 8030\n8753 17432\n109 4014\n251 5666\n3309 16478\n8955 14375\n6184 16665\n8219 17281\n2622 12636\n9130 12466\n80 3140\n2169 16538\n17240 17270\n203 14686\n2339 5635\n2154 17140\n6296 6691\n10429 11516\n157 9836\n8956 14057\n11975 15111\n7988 12320\n12481 16972\n12735 15393\n7804 8280\n4673 6962\n6326 9761\n4570 17035\n2504 8118\n12894 15339\n8312 14712\n9418 10247\n7634 10950\n2863 12846\n3071 17011\n13960 16623\n3633 17373\n7354 7619\n5237 14154\n14575 16047\n9015 10709\n4306 12962\n190 936\n8146 12756\n3027 12799\n3442 11740\n5156 9256\n7085 12619\n1844 16757\n1711 2121\n11348 14839\n5335 9689\n5339 12941\n10968 15156\n123 10480\n2872 9848\n747 3252\n5734 13506\n2589 5726\n6686 15514\n21 7520\n3550 16482\n12504 15798\n10578 11689\n1672 9934\n13629 16933\n4356 6414\n267 5822\n2971 7779\n13880 14827\n321 1779\n3489 9478\n7763 10038\n16601 17332\n7915 14950\n4958 15479\n4669 13421\n3692 6239\n14547 14719\n1841 5001\n2591 10082\n2759 11896\n369 15267\n1271 5016\n6937 15298\n4649 11250\n9538 13897\n5139 10837\n2487 4513\n1447 4221\n6899 8023\n1920 9315\n12442 15514\n657 10742\n12572 15610\n7127 7137\n8908 16302\n10869 12901\n9050 12946\n11808 12470\n135 11730\n6684 10740\n1570 8475\n11448 12498\n6720 10116\n6789 10568\n1125 14358\n1050 16360\n8383 14857\n4102 15768\n11212 14278\n4455 12045\n9498 10340\n6270 13904\n745 8920\n1497 12391\n5879 15189\n111 15679\n1826 10667\n145 8279\n9037 14229\n6644 15729\n9730 12496\n2266 6864\n3159 16691\n16585 17127\n6183 8724\n911 10832\n12738 15312\n13357 13622\n14139 14317\n1288 4704\n5485 9305\n8270 14135\n8641 15020\n1500 9806\n5747 12393\n2258 4910\n14209 17156\n8047 12510\n6352 12055\n8090 13248\n162 12278\n6348 9410\n1910 11348\n586 4419\n1622 3343\n4119 13850\n2103 3998\n10549 15473\n1032 5170\n4286 14433\n3394 11020\n6371 12871\n4206 14922\n9906 11843\n15620 16206\n3931 16523\n5095 7592\n5445 15202\n3128 10375\n1757 2251\n9011 16197\n15251 16913\n3142 15735\n10200 14387\n9112 12035\n11695 17337\n8045 17015\n2021 12722\n4650 11539\n9524 10942\n7862 11827\n1709 12358\n5747 10680\n3811 16775\n1727 17180\n6923 10514\n14874 15134\n2262 8967\n12258 15429\n8185 11059\n6374 10645\n3707 7599\n14507 16815\n5234 5752\n11793 17038\n11616 13649\n13901 16497\n7557 16276\n13326 17065\n3899 15802\n2490 6494\n13920 14857\n7853 13054\n9030 15799\n4692 13793\n11107 15109\n11581 16802\n14513 16639\n8530 12104\n9739 14560\n8100 13293\n1260 2012\n4496 6538\n1236 2672\n1628 7134\n4359 7400\n3092 3934\n9162 11884\n6553 15417\n11128 15526\n2958 8734\n7455 13487\n8860 15531\n9062 9070\n3980 13793\n6842 9973\n6785 8585\n935 14686\n591 10032\n3486 9070\n1583 5598\n786 1728\n11504 11733\n6709 8732\n7146 7843\n1149 7919\n891 16751\n4011 11280\n1358 8708\n990 16001\n11398 15820\n9289 15944\n1254 11284\n11252 16326\n10226 13669\n1512 4381\n3512 13962\n378 10365\n2254 8995\n1130 14296\n1487 15543\n4904 11542\n3167 10661\n12388 14758\n12034 15682\n5818 17173\n1683 16806\n4251 16230\n1797 14290\n2651 3399\n1018 5326\n10566 12909\n12563 17034\n9794 15000\n9031 9462\n5481 14001\n6984 15706\n1180 6382\n2492 5464\n2679 6933\n813 15941\n16998 17300\n611 5174\n6692 7923\n6927 9068\n74 13896\n15837 17199\n43 133\n2059 4439\n3256 13542\n8027 9807\n11569 14576\n7599 13393\n3732 16320\n8576 9161\n9604 14704\n6002 16191\n6172 9495\n2489 5705\n1422 10369\n137 3359\n8414 11298\n1953 8112\n1275 2055\n2413 5181\n7265 15596\n4491 11946\n7015 12603\n5171 14961\n5272 15695\n3154 8790\n5218 13050\n5145 14792\n4720 12634\n4191 7631\n10219 16639\n5244 14404\n7557 16446\n2672 8804\n2162 6519\n6397 11153\n5667 17446\n8236 13825\n1309 9790\n2479 6443\n12621 13998\n76 15683\n3413 17081\n3112 14252\n4964 6093\n318 9625\n5180 9251\n4453 9583\n3512 7580\n10680 14223\n11151 17102\n3489 16347\n3381 15819\n5656 14727\n1769 3846\n7392 15577\n5612 16186\n7318 11788\n4454 11129\n8385 14697\n587 5001\n12116 12680\n4498 11991\n9460 17225\n5955 10661\n1236 13585\n4556 7825\n13456 16509\n4395 10945\n1665 12819\n3746 15895\n6732 11463\n2011 6979\n16254 17006\n7572 11607\n7551 10973\n13190 17010\n14640 16458\n6589 7287\n3504 14545\n7606 17455\n801 16850\n10682 17398\n7055 11506\n12750 13022\n8541 11900\n7185 17265\n5552 9671\n1360 8844\n719 7853\n6919 10548\n6846 12108\n12673 13931\n4619 13969\n7891 15334\n8853 15445\n2915 7591\n13064 14382\n1099 9300\n9289 12104\n4464 5961\n4703 14477\n2758 14547\n13750 15023\n7554 9548\n1885 14235\n1132 4291\n1187 14360\n1578 7646\n7200 11816\n1718 16478\n9224 13623\n5875 9398\n1640 10312\n1484 13940\n6343 7771\n6018 9146\n300 13393\n15659 16070\n9373 12973\n10718 13719\n7901 10857\n4711 16117\n6998 14480\n6589 16580\n9503 9508\n4708 10651\n9349 13743\n9755 16809\n1332 16194\n4965 14424\n13444 17246\n1259 8441\n1002 13866\n5414 6146\n1740 16005\n5879 15042\n6058 12449\n13000 15845\n12346 16579\n3084 6178\n90 347\n7032 10029\n10334 14115\n8298 15428\n2964 4507\n3106 9827\n13264 14304\n9354 14725\n1445 6892\n1350 13370\n2092 13603\n10946 15462\n9943 16409\n2576 6371\n8172 10902\n6926 12374\n8151 10891\n2297 11437\n3949 10417\n10685 15575\n1780 14557\n10709 15706\n4959 5283\n1653 15090\n4274 6766\n1300 11980\n3636 16898\n5813 10803\n11023 11352\n340 8316\n3772 12312\n7178 13233\n1723 5245\n5286 6649\n2473 17425\n449 2938\n5437 7945\n2624 9738\n5047 7993\n980 14595\n5854 12473\n6054 11631\n10037 11475\n8808 12376\n5811 16415\n2554 4294\n10106 11235\n6773 9501\n10275 11408\n2914 8578\n14197 15805\n4745 11789\n6267 14458\n3268 15672\n5219 6518\n13948 14639\n9124 11286\n13282 13431\n3803 16320\n9129 16061\n3352 9155\n1404 1713\n1407 11968\n11363 15515\n6236 10087\n7297 10236\n8653 12117\n13042 16561\n12360 14047\n3607 10965\n4813 5578\n5560 10061\n5815 12605\n1191 8664\n9731 10516\n5123 5429\n1652 14472\n4320 6424\n960 13849\n11576 16230\n5328 13390\n4788 14930\n858 12152\n96 10257\n5920 13070\n382 1533\n755 10863\n6894 11591\n11198 11358\n1525 8509\n2994 15088\n14679 15216\n2233 14018\n2923 16561\n4669 17000\n2659 12010\n2779 12183\n7982 10913\n3542 6536\n3150 9591\n2719 17096\n15067 16151\n12846 17455\n8155 13594\n10421 15789\n1962 14138\n255 4104\n6506 15535\n17091 17345\n4370 13153\n10147 11498\n2440 4491\n11380 12400\n9537 12921\n3612 15311\n8492 12338\n10962 16411\n5986 9612\n5955 14968\n3515 11511\n3465 14084\n6372 12778\n11417 11944\n3489 16588\n5440 10064\n6459 17444\n2336 2821\n7785 14724\n3426 7257\n14351 17250\n9817 12838\n7887 9586\n1939 2328\n200 11139\n2006 11253\n7192 9918\n11300 17402\n6534 16739\n9207 10078\n292 2730\n5035 6377\n4493 6901\n1451 16455\n10203 10858\n9588 14313\n9148 16671\n15730 15955\n7906 15315\n2066 13877\n8353 14282\n187 3000\n12921 16566\n3286 9349\n6428 12904\n5164 16690\n2601 17118\n12047 13758\n3113 16754\n1183 14156\n2224 12288\n9004 16482\n6694 11407\n6543 11746\n3490 11547\n1359 8132\n2903 12378\n4685 6170\n2705 12594\n3543 6411\n3408 12004\n6289 16679\n6500 17193\n5242 15817\n7686 14838\n832 5116\n1568 4629\n2416 17138\n6825 15394\n14847 17147\n2902 5632\n837 9302\n4133 17282\n2365 16145\n7791 10528\n313 16388\n1889 13441\n5759 14669\n10973 14120\n4934 11309\n4781 7217\n2216 13102\n1734 1784\n6180 16192\n4483 12206\n859 12876\n5324 6782\n4949 11436\n1681 17163\n4553 12534\n3719 7649\n488 1978\n574 1227\n4573 8312\n542 7022\n3036 13664\n14129 15685\n3287 15303\n3210 8039\n7959 12587\n398 11270\n15117 16267\n7473 7585\n531 16283\n7842 16941\n9220 14859\n6380 14817\n14409 15092\n5770 11088\n6649 8790\n339 3135\n5601 8934\n1970 6357\n691 4335\n230 5127\n1526 2698\n11257 16484\n184 13786\n8028 11222\n10050 15399\n8232 15233\n1345 4470\n1454 17430\n12559 17286\n3220 11501\n508 9333\n7293 7545\n5048 15404\n721 16256\n12871 16627\n2577 15577\n8898 9201\n4611 15282\n14048 15754\n3490 12295\n4838 8114\n2244 9479\n1841 9971\n2695 16819\n4890 15227\n8219 11930\n6850 7888\n5980 14862\n14216 14473\n6303 11651\n14477 16088\n1405 6056\n4165 11647\n5749 13199\n5566 5970\n1871 14241\n212 16225\n16581 17378\n2523 12648\n7933 13072\n11129 12232\n3747 4744\n1103 4696\n4587 11097\n2044 17406\n7140 9544\n3147 6592\n8068 10310\n7741 10357\n10950 14772\n1371 12807\n12275 13331\n6984 17083\n4192 14557\n146 15222\n3652 17169\n699 3452\n1411 11590\n1241 2747\n4120 11465\n2623 5006\n5564 11998\n713 5499\n1568 11576\n3118 15515\n279 6977\n6325 7775\n10768 16314\n3327 14537\n75 2634\n5800 12284\n6511 9920\n4263 14456\n10464 10512\n11842 16962\n8253 15603\n400 9918\n3317 17332\n14756 16916\n5392 16025\n1247 7500\n11017 17202\n290 14995\n1781 4822\n7685 9308\n1924 11196\n2296 15859\n5026 16578\n39 4996\n8949 17031\n5822 9236\n9410 14493\n4926 12734\n10242 13215\n6538 14844\n11236 12456\n10766 11751\n6402 9483\n1639 3105\n7430 11671\n8371 13924\n2928 10075\n1480 15142\n468 12139\n2646 14231\n6615 17409\n338 7624\n3980 12524\n2984 13572\n13817 16669\n4138 7935\n2943 8323\n8943 15057\n10978 16198\n2738 11900\n4674 8118\n12823 17309\n5744 8933\n3584 4809\n1027 9101\n3838 11763\n6645 12815\n145 1843\n4532 12841\n5229 13100\n6578 12801\n3600 11286\n963 3027\n13560 16146\n9999 10451\n8662 10612\n848 14482\n3544 8988\n5847 9711\n9047 15539\n1704 13308\n892 6283\n4645 5140\n6614 11051\n4486 10116\n3254 8376\n1244 1891\n2575 16487\n4331 9694\n14656 16345\n2110 15512\n5670 11321\n4387 13639\n11407 12269\n16062 17103\n5736 15122\n2961 3991\n5062 14088\n11830 15129\n861 7829\n10365 14948\n8327 15168\n8726 9707\n6118 9588\n6502 9684\n971 8138\n134 12575\n592 7538\n695 11332\n14184 17249\n4680 5190\n2975 16946\n2458 10743\n13724 14056\n4704 7606\n8618 13664\n9428 11082\n3896 15423\n48 11358\n775 11128\n15082 17157\n1607 3050\n7151 15866\n7322 16282\n1628 11489\n7850 11836\n711 8945\n8510 12733\n7134 8177\n3893 5284\n5440 11292\n11715 17210\n1104 4176\n3953 5182\n1034 1960\n1183 5071\n3560 14151\n4164 12325\n10733 13369\n3020 7995\n8188 11656\n13956 15447\n3029 14090\n6881 14564\n383 12475\n343 1483\n7348 7610\n8749 15233\n2057 14715\n9426 16932\n1407 12851\n4105 6894\n5553 16953\n5880 13340\n3190 11223\n6738 15436\n12861 14579\n9750 10920\n4153 4237\n10761 15839\n9455 14581\n3871 4119\n9823 14590\n30 13221\n6519 11545\n2456 4152\n4673 16304\n3700 10486\n3848 4713\n118 10677\n3391 4822\n12348 14412\n12069 13072\n8254 10079\n4500 6774\n11423 14123\n2308 2832\n1374 8525\n11311 14091\n2980 10433\n619 11522\n9781 15065\n7297 8333\n2122 14940\n9004 9521\n4764 5677\n13420 17323\n7927 8411\n5454 16446\n9459 14464\n8743 10883\n2323 12353\n14371 16659\n6140 16558\n2222 5608\n8524 14617\n13863 16681\n3567 5646\n11403 14428\n680 4513\n6145 15822\n2744 15167\n1024 1600\n7319 15627\n4422 7145\n3395 15788\n5270 8865\n7127 7316\n7253 15446\n12493 15462\n4029 8698\n11020 16871\n2622 11060\n725 9732\n4751 15560\n4273 13956\n9503 12447\n6230 10965\n11533 16806\n7181 13186\n14584 15661\n2170 16140\n11219 11370\n8768 11811\n3253 4680\n8530 12397\n5008 15665\n4297 8817\n8427 9313\n1072 5197\n690 14536\n1402 15662\n2568 17015\n11423 12685\n7131 17423\n3424 14296\n6698 9643\n11512 11666\n3962 5435\n2657 14555\n8836 17256\n703 3357\n4173 14842\n294 13246\n2476 16923\n852 8006\n5091 5562\n4676 15534\n326 1956\n2255 6144\n13292 16168\n874 12896\n5487 12598\n12240 13357\n10739 16354\n2133 8365\n6480 10896\n1445 9635\n149 4790\n2148 8201\n4741 15711\n5853 7885\n1331 3280\n6008 11062\n1729 8553\n247 17256\n7408 16988\n1409 3978\n3988 12178\n6359 13328\n10607 17164\n9836 16675\n7152 9780\n4729 8170\n650 2186\n2210 6737\n10310 17349\n5570 12055\n11725 14002\n3083 14749\n7432 15321\n13932 14915\n10342 12369\n7316 7881\n1897 13942\n5343 10590\n8660 11030\n4294 4928\n5658 9168\n9941 15476\n5063 12453\n5385 14104\n8336 8985\n4663 8341\n2375 7213\n4427 13951\n134 13668\n7037 7306\n4857 11425\n5937 14074\n42 152\n3962 4163\n3322 5534\n13534 13658\n13182 15558\n1689 10385\n5149 13552\n14259 14314\n1315 13293\n11836 17286\n6075 8230\n10435 13011\n3864 9700\n578 3899\n1691 16815\n4739 13293\n6682 13746\n210 1775\n4807 13290\n4507 10233\n894 7350\n3705 11582\n1656 17275\n5286 14316\n4 10006\n6147 16840\n5077 5258\n2048 9587\n4424 13623\n12115 14021\n9116 13762\n2866 8630\n2791 11068\n3102 11763\n2482 8178\n1990 15328\n636 2819\n6360 14119\n175 7317\n2382 5362\n5664 7326\n3227 15815\n6058 8871\n10756 14852\n1690 5935\n3762 16802\n8131 16392\n4325 5781\n312 14982\n730 11779\n8119 15651\n3803 10182\n12370 15270\n8296 10035\n5937 8528\n1795 2966\n1988 5315\n978 14516\n1460 10475\n8528 15980\n4169 6844\n5780 14496\n1815 8701\n6557 16391\n5000 12097\n6140 9011\n5253 9942\n4641 16430\n5058 6196\n2939 13125\n764 16643\n200 9848\n10040 14083\n6741 10582\n1191 4267\n11260 11266\n700 15199\n4552 8513\n6765 10613\n7614 8625\n2402 5377\n684 9627\n2198 16213\n1486 9080\n4326 12647\n5297 8472\n12689 15765\n6660 8644\n12417 15364\n6626 8579\n15011 15674\n8117 11431\n4817 10789\n1996 16237\n6732 8320\n3041 15690\n2774 14114\n4011 11402\n2793 3340\n1161 10403\n8323 11472\n5983 9519\n1918 4426\n3699 5437\n5798 7698\n2327 13287\n9049 10476\n15464 15477\n877 8966\n10612 16953\n5931 6393\n6909 13969\n7880 14252\n10524 15742\n14167 17261\n12598 14144\n732 10838\n13365 14194\n8806 16413\n6789 12783\n574 16041\n107 2582\n3847 13761\n7077 11652\n2800 4281\n9508 13538\n7514 11367\n10148 14997\n15672 16534\n7227 8289\n1458 9777\n4943 6338\n13235 17431\n8911 16232\n3898 5561\n16458 17437\n263 4258\n4122 10402\n8436 10486\n1148 6068\n13553 16139\n5180 12202\n7180 12320\n5023 10651\n4814 12550\n3582 11113\n1016 13933\n1411 12297\n15502 16689\n12144 16347\n13770 15557\n917 6111\n3332 3520\n1420 12028\n2960 12749\n7167 10379\n8752 15348\n11757 12201\n51 14850\n12659 16034\n1670 7308\n1826 15590\n3915 13686\n3856 9429\n1276 13760\n9717 12465\n3219 7051\n11662 16542\n7557 16400\n909 9996\n4111 10622\n5889 13863\n2641 12728\n13471 16617\n4842 16503\n5616 10294\n1143 16726\n3665 13050\n577 9057\n6310 10236\n2263 10683\n3000 4815\n7856 8449\n484 10422\n7168 12506\n112 16938\n8810 11908\n5696 12480\n9470 16117\n8111 10825\n9667 15473\n4276 4649\n4486 5226\n8294 17411\n7626 10915\n6960 14549\n1344 14491\n3348 7456\n2906 15041\n1396 10945\n11615 15325\n1961 17185\n2706 7940\n2977 3808\n7309 14684\n869 10888\n1956 7905\n3359 12540\n14980 17221\n1546 10712\n7086 9299\n14942 16961\n172 12194\n11990 17132\n1274 10954\n10568 14320\n10385 15499\n13344 14721\n860 17334\n7662 13396\n6005 15506\n320 7173\n909 15231\n477 10080\n5854 8461\n10313 15505\n3137 14696\n9812 16651\n2257 3940\n616 15086\n5547 14629\n6104 7640\n3105 13365\n2794 10883\n10753 12657\n5344 9621\n2911 6773\n2336 14452\n8598 14071\n3608 8527\n5724 8029\n4534 15265\n98 6169\n10639 15816\n16503 17456\n226 12715\n11824 13477\n4023 10422\n12359 13434\n7631 10689\n8501 12548\n8638 11332\n1652 6831\n11842 15918\n3139 11196\n11997 14189\n5915 16945\n3072 3871\n8739 15219\n12586 16864\n5961 15212\n7800 13725\n4012 7287\n997 2761\n9315 13940\n13274 16433\n4865 8954\n51 14664\n8502 9383\n2975 5773\n15014 16800\n9764 12233\n6920 10499\n3374 8749\n6991 7814\n1064 5338\n7903 8779\n602 6506\n8606 14763\n11613 12901\n5293 15733\n779 15880\n11799 14392\n1098 15970\n1211 10019\n8267 13424\n9643 13898\n4970 10297\n1915 15572\n6639 7275\n9652 10450\n2128 2215\n4980 13751\n7563 8314\n846 11767\n9039 13902\n5500 17133\n11588 12087\n5534 6496\n2504 10734\n5940 8423\n7915 10697\n1726 8730\n1501 7492\n2803 15069\n4200 16595\n10037 12644\n3807 12529\n5189 9030\n6118 8959\n1597 15934\n2449 3422\n2029 6947\n9727 11721\n10183 14354\n1472 8575\n11219 16504\n1760 10811\n466 6443\n1345 8032\n6067 7185\n1370 4443\n1867 2575\n1312 1984\n1664 14309\n9945 10229\n10130 17439\n3565 5806\n6797 17047\n14949 15047\n1024 4900\n6301 17337\n3370 14256\n4852 11222\n7202 11137\n5230 13422\n6981 16327\n10934 14201\n13872 17096\n5618 16804\n10876 11407\n576 5339\n8335 12935\n4101 12521\n8872 15510\n172 5601\n9269 10515\n12671 14349\n7943 9224\n974 8433\n8407 14160\n13018 14803\n1456 5471\n12411 12881\n3520 4165\n11200 15180\n11445 11713\n15317 16660\n1681 13063\n4771 15340\n10904 14718\n4109 12027\n9480 15937\n5085 17462\n786 15075\n3946 10181\n409 14252\n748 10175\n4747 6843\n85 13036\n9898 14904\n13383 14377\n6449 15330\n12323 16284\n4952 7091\n5215 9553\n7030 14402\n2874 15573\n1823 15224\n6728 9339\n278 17116\n10784 15224\n6265 10317\n613 8963\n8400 15340\n6127 13368\n8213 11050\n7082 11843\n3211 14719\n9170 10699\n3593 8789\n50 2990\n6419 17395\n6169 16704\n6090 17420\n9020 15138\n4776 13488\n1600 9849\n4373 5140\n283 9583\n1433 1533\n2974 5346\n12508 15297\n2953 9420\n5406 8456\n13744 13822\n2310 15761\n2429 7511\n2799 5727\n11576 14300\n4919 16338\n5079 11752\n2008 14669\n675 16221\n5552 6412\n4212 10536\n5153 5321\n6477 9198\n3339 11546\n10834 14678\n2639 16418\n2090 2361\n2194 6062\n9439 10503\n10130 15832\n3494 4530\n10304 12078\n14809 17044\n9227 11292\n6869 8484\n8784 11319\n11349 12227\n5752 14329\n10836 16904\n9355 13484\n3464 17305\n4692 13554\n832 3643\n11811 14348\n3298 4913\n2739 11793\n5870 10729\n7545 7779\n1881 5682\n5413 12642\n2791 7088\n6190 17166\n2733 10110\n4514 8132\n5029 6859\n3716 11428\n15947 17348\n9451 11259\n5313 13868\n11926 12797\n14745 16599\n9624 10830\n10063 11780\n1930 16683\n4854 10345\n11 2861\n12767 16220\n2334 14579\n1220 6388\n2496 8849\n6913 9456\n8941 11331\n6118 7105\n634 11078\n7895 13229\n12609 15707\n11635 15390\n3759 16924\n2618 8062\n8266 12505\n4281 14315\n5076 13977\n4478 4896\n13887 16756\n7202 13230\n3445 7212\n1446 4169\n9360 10647\n734 7128\n3704 9125\n1603 3044\n11755 12099\n2816 17409\n7756 13271\n5604 15205\n7061 15010\n10799 11180\n3514 6337\n11807 12836\n6128 7102\n6007 6161\n4081 8506\n5023 11639\n3844 5741\n3666 11973\n1587 9589\n11551 13283\n12573 12876\n2484 7089\n1001 7841\n6500 14387\n637 8959\n2028 3650\n793 8756\n4054 6110\n6713 10000\n291 1197\n34 12406\n9424 10080\n6953 16577\n13111 17101\n949 15703\n5781 14600\n7487 15162\n5087 12588\n398 16211\n6191 17426\n1044 17341\n6655 10543\n11724 14021\n7020 16540\n6619 8506\n1391 13782\n10252 16086\n4608 8446\n2687 9222\n3026 5914\n4260 7090\n2766 9369\n9918 13497\n2119 7881\n12369 16687\n368 819\n4148 8011\n2390 3495\n4036 14808\n13512 14041\n2451 8318\n8406 14784\n8732 12455\n10651 10969\n6142 14272\n1975 3259\n8410 14062\n16638 17308\n10812 17157\n4340 11673\n5511 10260\n3447 16164\n10280 11518\n7481 10671\n2108 9702\n3967 11076\n1097 17310\n8595 11093\n3325 8322\n4203 9063\n5722 5994\n12156 14414\n6372 15728\n5350 5679\n6839 10726\n6061 14079\n13396 17204\n2829 5865\n4071 11557\n8153 14902\n2374 11360\n6814 11067\n6540 11323\n16644 17451\n603 7004\n8205 8234\n5528 15430\n5937 7837\n5476 11532\n10871 12590\n12711 15181\n6715 10285\n3312 11078\n13754 15129\n1549 12443\n3831 4867\n10261 11013\n9433 9702\n12042 15175\n4667 11141\n13349 14011\n10531 14193\n13015 16348\n7830 15803\n4413 11693\n13391 13741\n3787 5320\n11728 15166\n12088 15751\n8187 12427\n7770 15748\n11706 13364\n4756 8128\n7892 10572\n56 16711\n913 13349\n13788 16453\n2439 10243\n6860 10574\n9782 10336\n9353 14379\n1418 13697\n5027 5096\n265 8851\n13306 13920\n2740 12525\n10259 15380\n11053 16587\n1164 3927\n8256 15474\n10048 12461\n9569 9717\n8757 17327\n5272 6789\n1640 13451\n121 17236\n339 2109\n6353 7151\n7561 8310\n4698 8273\n5980 6344\n811 7876\n15072 16551\n10030 15767\n6961 10633\n1686 10294\n6510 6941\n6985 17409\n8019 11488\n5804 9335\n2358 14616\n287 15111\n5719 10124\n15462 16845\n15022 16017\n10062 10700\n9533 17179\n7019 7925\n4774 10556\n13837 13894\n11879 15314\n12094 14329\n8400 10873\n1696 15008\n2240 15044\n9920 11047\n5167 12470\n3023 13163\n2664 9513\n4538 13246\n2940 4064\n1014 6034\n4151 14716\n9550 9889\n2303 11770\n7310 14218\n83 7273\n4663 17066\n2800 7820\n12155 14530\n6230 9017\n5125 12967\n16285 17085\n773 11007\n848 5609\n1099 12280\n4906 6413\n5941 13257\n7456 8018\n4279 8361\n7328 15618\n10484 14273\n2384 9192\n8972 10994\n430 16528\n549 7025\n5067 12998\n5995 14513\n9931 14874\n6623 13638\n15333 16207\n2729 12380\n14741 15679\n7027 8875\n2447 15637\n6936 9612\n2081 2722\n623 9642\n4624 5636\n5295 17009\n9250 11427\n5154 12667\n4775 13902\n5970 9637\n3098 8480\n9957 13427\n14101 16486\n845 3434\n8847 16793\n31 4791\n6216 8675\n1292 10586\n6146 7716\n2245 14315\n7369 7694\n1209 12597\n10519 15874\n584 12682\n374 10964\n744 14294\n4579 12042\n5 9894\n2876 9754\n3930 16527\n5214 16050\n3497 13455\n8640 14405\n1671 9356\n11402 17022\n3567 8424\n15155 15298\n484 10525\n6871 15444\n1992 8781\n4293 9472\n10046 12093\n6806 14060\n3021 4861\n6629 10457\n207 10134\n4323 12586\n1287 5415\n852 4949\n547 12839\n2091 4833\n15045 16582\n9883 15714\n361 13220\n2987 15495\n10688 12248\n787 7171\n5831 10779\n5355 15043\n2544 14589\n15201 16132\n1105 6236\n6732 9444\n2520 3256\n6464 8959\n270 6541\n11113 15753\n5384 16112\n1691 14100\n4231 6193\n1654 6630\n2173 15880\n8391 9879\n14145 16408\n5718 12589\n481 15344\n5705 7700\n2094 9195\n445 12318\n7298 12511\n8612 8770\n10173 15466\n7130 10703\n1033 10936\n2929 13566\n7799 16594\n15503 16628\n10935 16410\n2043 9090\n4061 6968\n13579 17364\n5458 11990\n10436 14768\n7675 16041\n5071 6232\n2142 6729\n6383 11839\n2053 7821\n1784 11721\n71 11948\n2451 7903\n7733 15870\n7020 8375\n8288 12459\n7079 8676\n14104 16721\n9047 17414\n7661 17030\n15742 16738\n10096 13994\n3531 5889\n8109 16809\n1995 5313\n5668 11683\n4391 13606\n4221 8865\n5790 6668\n9147 11146\n848 2710\n219 11301\n7947 11337\n588 5541\n1182 1576\n2633 15369\n648 13546\n1593 16177\n406 831\n8697 10448\n10627 12356\n3671 9623\n2497 14417\n205 16086\n1686 2018\n4021 15705\n3720 12605\n14930 15640\n9984 17232\n3981 16813\n8080 13960\n8304 15570\n8433 11673\n320 10557\n13682 16698\n10840 11467\n2405 11495\n4830 9293\n5885 10160\n707 11162\n8581 14724\n4038 14096\n14069 14879\n1992 8005\n7673 10405\n3238 11091\n548 5236\n5277 7215\n3881 9910\n7936 10209\n6126 16661\n751 14692\n6666 12247\n6214 12886\n15459 17122\n4262 9654\n1382 11468\n6656 17276\n2634 3878\n742 16798\n5316 8973\n6333 11948\n4585 4989\n109 4590\n10636 13722\n6280 17115\n10817 11003\n8342 9796\n1971 2303\n12588 12914\n8017 9628\n2468 14490\n677 1820\n1688 15606\n3876 9726\n11127 17379\n159 3368\n13444 15057\n1516 4130\n9824 15892\n7553 7769\n2938 12582\n13384 14703\n10528 14537\n375 16779\n4212 9811\n7970 13675\n7157 13596\n2505 7874\n10370 13141\n946 1845\n7176 16797\n7795 10156\n7342 12079\n1208 4199\n4231 6477\n3905 10798\n7858 10587\n586 16859\n13802 16635\n739 6516\n7740 10868\n3166 10569\n427 10508\n4788 13817\n9628 15098\n16709 17347\n7753 9762\n8246 12337\n3802 9473\n982 6731\n9072 13078\n15764 17380\n858 13921\n2259 11516\n12989 14540\n9145 16493\n149 976\n7002 11557\n4669 13405\n4401 14930\n599 1351\n9070 16105\n5539 11205\n650 1487\n1694 13014\n6991 7525\n8867 13749\n3150 8610\n977 9545\n13836 15925\n4160 5574\n3466 9142\n3594 3842\n7910 13821\n3480 4104\n5066 5162\n12822 14515\n3719 11423\n2542 5329\n903 15805\n5187 5448\n1714 2201\n7560 17022\n204 8084\n6466 8077\n4135 12918\n7721 8631\n11861 12702\n8960 15006\n3123 3359\n4981 11200\n1886 9981\n1700 5158\n1548 4382\n11514 15305\n8224 16739\n338 17326\n1081 16891\n190 11922\n2317 11307\n10244 16126\n9439 9500\n3436 4030\n3181 15726\n9328 16864\n873 4752\n2901 12227\n9031 13956\n6419 13474\n12569 16599\n4532 7270\n8891 12089\n3619 4134\n662 7423\n3880 9538\n3287 15022\n9379 15963\n1112 5685\n4392 5558\n5623 7438\n142 13019\n4830 12319\n2548 13639\n1913 9282\n1122 6557\n9849 14708\n1195 11859\n605 5828\n2450 5067\n241 11040\n465 3721\n6234 15436\n1474 2190\n799 7674\n10939 12140\n2074 15025\n9232 17277\n2929 17436\n1133 14681\n6363 8798\n12611 16057\n4942 7268\n2574 7728\n806 9712\n5685 7730\n3432 11701\n6487 9985\n365 5145\n4770 8708\n2303 17129\n3521 8231\n4031 9546\n5975 9240\n8417 11984\n16388 17319\n943 7993\n8137 12144\n10979 17412\n7198 14618\n11094 14711\n3670 10495\n5246 8904\n1566 13112\n5956 16368\n6817 17137\n3071 14550\n1436 12424\n6192 12857\n8018 14488\n2893 13704\n5899 6639\n6560 14204\n10692 11369\n3022 7246\n1650 13998\n9952 12341\n8612 12653\n1450 15411\n4561 17272\n7708 8036\n5558 16111\n475 16172\n8857 16149\n5749 14846\n428 3232\n4002 7396\n4366 11356\n4640 17190\n10500 16993\n127 10043\n4643 14433\n4378 6234\n4288 15027\n9775 12724\n9671 11592\n11068 16676\n4722 9358\n12328 14601\n5181 12902\n7911 8710\n6178 14478\n304 1582\n4041 14488\n3222 10068\n839 5915\n9174 9634\n662 3631\n3211 17161\n2587 12311\n5661 11695\n11825 13223\n3113 8681\n15238 16341\n516 7880\n1587 8448\n5547 9367\n7414 16249\n4608 12401\n1920 17374\n14449 15954\n6884 6937\n3892 13318\n5467 5899\n1854 3557\n876 15095\n6921 17158\n4244 5393\n1258 11170\n8184 16812\n8412 10659\n702 16476\n4685 12050\n1596 5939\n2014 15785\n259 7476\n205 15657\n6372 12360\n3521 7886\n9193 13469\n1327 9341\n734 8672\n5171 5536\n313 3948\n8072 14501\n872 17429\n3356 12232\n15771 17097\n575 9773\n4158 15623\n1818 4406\n28 12481\n1154 14736\n1946 8166\n8921 12981\n12864 13422\n9540 11622\n8199 13132\n3865 8635\n3401 15014\n7633 16961\n6251 17446\n543 5137\n3837 16859\n8931 14954\n5251 9647\n4124 8961\n8783 17059\n204 15221\n2504 16095\n14606 16260\n4563 9430\n3312 7929\n10020 10554\n7554 7823\n4986 10791\n1021 1305\n1322 16554\n11346 11545\n4980 17175\n5436 13007\n5792 12370\n1528 7404\n1885 4667\n4848 6032\n4363 11555\n4533 12661\n14688 17130\n7620 13406\n1740 5637\n5322 8071\n10799 13673\n1152 7300\n3239 16553\n1517 12572\n4618 6966\n6832 9029\n2643 10463\n9809 12067\n9166 17438\n9051 10540\n3663 3837\n5628 14555\n3423 16103\n10082 12363\n10055 12452\n278 17102\n10554 13866\n7173 12663\n12408 14795\n1434 6786\n12477 14600\n16 3992\n1767 9928\n4158 13992\n5051 5281\n376 4095\n13522 15481\n1878 8921\n7231 14474\n3294 14194\n4116 15606\n2131 16650\n1335 17418\n6746 7802\n9589 14795\n673 16408\n14659 16480\n3499 14583\n5704 14454\n2518 2903\n5026 16405\n1866 14934\n5903 14184\n647 15729\n3407 15752\n6931 17262\n421 11169\n9521 11279\n1427 14524\n6506 15367\n15896 17293\n89 6849\n1059 11518\n3989 10320\n9385 11776\n5926 13156\n5732 12447\n3505 15315\n13557 17370\n5271 17381\n1332 14761\n4434 13094\n2996 16858\n6243 6295\n213 4373\n6577 14803\n4678 14718\n2347 4770\n3069 8182\n4487 9266\n10244 14983\n1794 10412\n1704 14997\n1907 15517\n7414 7925\n11694 12873\n10002 15487\n5302 6763\n11579 14179\n3240 7796\n13361 17165\n3722 4072\n6026 16198\n3135 9438\n2895 16150\n2179 2207\n10259 12717\n8203 10597\n8341 8576\n3459 16665\n1040 3106\n5713 11166\n1790 4166\n16320 16489\n5344 17288\n9566 15098\n9942 16981\n165 8906\n9858 11109\n2758 12370\n12208 14681\n2337 16942\n3521 10314\n2157 6019\n2664 6194\n7360 11879\n1225 9080\n10086 14110\n4407 10053\n520 1970\n7241 10643\n878 3380\n622 9971\n3808 9271\n12178 16262\n12349 16650\n14640 15704\n8801 16045\n8259 16193\n9729 13506\n9312 16487\n7445 12427\n1910 12559\n151 11441\n129 12444\n13413 17124\n2110 16641\n3139 11441\n11363 14270\n7640 16930\n5197 14677\n11267 12715\n6853 10144\n7709 11432\n3950 9106\n11886 13213\n3287 7896\n10156 15700\n5639 5854\n264 15036\n1175 12665\n1281 13279\n3090 16451\n2197 5424\n11181 14497\n6703 12978\n8628 13674\n4727 9241\n703 7330\n6234 13125\n9710 11639\n8972 10459\n12873 16407\n13038 15775\n994 16314\n8048 10037\n1095 15860\n1841 13369\n6266 6513\n164 9197\n9739 11244\n395 943\n212 7828\n1902 13727\n6872 14844\n9972 13092\n3692 14849\n954 12512\n14190 14436\n4995 6792\n14963 15128\n6438 12221\n493 16551\n6673 14367\n11342 17289\n7397 9095\n13839 16541\n5395 5812\n173 676\n1205 13613\n520 4600\n4920 7451\n1368 4395\n7710 16741\n10501 13285\n14723 17110\n5395 5641\n6359 16015\n6570 14900\n8423 14384\n8082 13155\n8680 16905\n2303 8957\n6829 13247\n1878 11246\n1367 14523\n12575 15442\n8557 15007\n6477 12261\n3320 13756\n2288 2364\n5214 10594\n7425 12298\n4075 15460\n3658 11600\n9276 14112\n6775 12102\n4715 10488\n8479 13662\n13673 14214\n9647 12671\n4066 6497\n13063 17410\n9057 14705\n2324 2872\n6703 14803\n5240 13077\n12153 12221\n11187 15008\n8104 10157\n3797 9634\n676 5549\n785 2039\n340 3386\n1806 9308\n8051 14278\n12538 17202\n6112 6667\n6426 10545\n668 15596\n9900 13923\n3296 5101\n6225 12356\n8732 15570\n3504 14311\n5070 12135\n854 14592\n1642 8955\n11803 11835\n15447 16805\n2032 16034\n3254 6288\n754 2634\n2952 9342\n12437 13068\n5665 7082\n5898 8511\n9648 15965\n9662 16801\n6682 13734\n12396 17441\n8226 9330\n11200 12786\n1098 6893\n2739 11430\n12601 16792\n9830 16366\n11709 11718\n4446 14565\n12953 13510\n6493 9632\n9283 15871\n14927 16240\n9667 12918\n249 3544\n4179 13868\n3958 12454\n5063 11829\n2150 5243\n6254 15198\n571 12042\n841 6797\n6922 10142\n16903 17223\n10851 13452\n4730 12663\n9003 14734\n395 10245\n5766 13372\n6372 9278\n1184 3540\n1599 3984\n2507 12474\n610 13420\n9458 10167\n4652 5574\n12586 17015\n6176 8609\n15575 15740\n6629 7418\n386 16802\n6190 15500\n8904 11714\n180 1169\n8213 11367\n3149 6691\n7074 16177\n2084 7728\n14643 14778\n6847 9890\n11494 12282\n206 10336\n8332 9180\n803 14329\n4329 13810\n5446 10497\n3686 14831\n8606 14026\n2870 14708\n9693 16443\n3793 12028\n5966 7337\n4384 16076\n454 3444\n4684 8560\n5652 16942\n8173 8756\n2332 17070\n14106 15701\n14206 16346\n513 10526\n6 10751\n1046 10924\n6921 10031\n6092 16191\n6825 9859\n969 16268\n1161 13855\n2559 4416\n10022 12369\n2685 11820\n11744 16535\n601 7497\n3466 9930\n14615 15133\n12016 15887\n2735 3292\n1790 11750\n4861 14424\n1341 3218\n9048 17205\n6765 14845\n8659 10577\n2002 9642\n1582 15427\n8295 12794\n11097 11828\n3855 10644\n1911 6245\n8258 16180\n13275 17150\n6213 10415\n8655 17461\n3081 17166\n1990 8411\n708 1587\n12721 13043\n297 14765\n260 14292\n2499 12751\n930 15101\n505 10671\n5128 10233\n1972 7730\n3149 5186\n2849 12590\n6976 16382\n8043 8857\n4933 11883\n7380 15333\n1106 15410\n6280 14656\n3178 14467\n14253 14813\n5588 11666\n10712 12653\n2329 5183\n1003 16395\n517 7909\n1293 6259\n2904 12507\n788 17281\n10747 12586\n3785 13829\n462 1394\n11316 14371\n10482 12756\n14871 15916\n4706 14525\n3748 4089\n3291 5649\n4840 10014\n24 3745\n2303 16949\n9250 16590\n1276 16325\n11242 15261\n12310 15991\n10769 12928\n11648 13619\n2474 5669\n12258 14340\n7629 9214\n6093 12608\n9057 14111\n15041 16429\n1240 5611\n1714 17382\n2772 7880\n8651 15900\n9826 13773\n2863 10625\n2518 16808\n13068 16890\n6460 13742\n7706 8200\n9676 12851\n11874 16036\n5669 6414\n7753 12643\n10118 14193\n1582 12510\n7940 8947\n4726 9776\n14153 16523\n6962 10895\n1242 15944\n7675 16525\n2271 4694\n5153 10312\n1281 6833\n1798 12797\n8668 13810\n3008 5482\n411 17405\n472 9746\n8072 11661\n2092 10490\n7295 11196\n6750 7588\n773 15357\n1504 4381\n1760 14068\n12852 17357\n9877 14157\n5433 12700\n10220 15388\n7976 14467\n5767 15146\n2188 16517\n8670 14433\n5867 9072\n8971 9714\n545 2642\n1157 10267\n2129 6226\n8408 9630\n11267 13082\n3951 5067\n3353 13266\n3463 9708\n10568 15751\n8795 12666\n1777 4895\n2416 16712\n7834 15644\n3325 11805\n5579 9332\n5316 10074\n97 6157\n3846 7364\n6212 10874\n3233 13646\n119 6259\n6695 13663\n7644 13676\n10087 17187\n12656 16795\n13223 15477\n8599 16463\n222 12132\n8379 16797\n13395 14756\n5214 9326\n1784 6484\n1487 10270\n9589 13259\n5968 12093\n13139 16721\n10897 16519\n2554 8010\n12386 14297\n5635 7659\n7789 14971\n5416 15388\n457 8202\n1113 8062\n9010 9137\n2459 17434\n6983 14245\n2079 15866\n8703 10184\n11514 13984\n7081 12979\n2104 3585\n2949 14926\n1047 5686\n1674 12625\n7791 9067\n5474 11470\n2484 13827\n9296 10293\n245 9736\n10151 11474\n12884 13654\n3991 6174\n188 4442\n3518 15342\n6573 9308\n12176 14147\n4386 14000\n7306 8047\n1381 6602\n3194 8645\n4820 9590\n11287 12728\n6323 7870\n13365 14782\n6575 11580\n3757 10799\n5641 9134\n3686 17143\n13257 15343\n6855 7628\n12792 14780\n11886 13683\n1492 14271\n5367 10888\n10154 15713\n5675 8067\n744 6890\n7486 8324\n2513 8845\n2934 4531\n2888 9759\n11677 15142\n15222 16955\n8432 8798\n5664 8170\n8286 8790\n2610 14737\n6487 15882\n4963 7816\n5585 6322\n14169 16035\n5798 10380\n1693 7382\n84 15683\n12853 13277\n1182 4320\n5609 15160\n3562 14302\n548 17385\n6627 8327\n2867 11542\n5501 13616\n2532 3992\n2464 9222\n977 13547\n9535 15781\n5268 13792\n12050 12408\n4927 6504\n4321 13874\n1228 3851\n3100 5631\n13123 13932\n150 6926\n9881 16487\n768 9452\n9809 14219\n1336 10767\n12980 15857\n5000 11979\n2583 14100\n661 4716\n10420 16410\n2592 5915\n3573 8233\n6516 8794\n2073 13537\n2028 17127\n4082 16692\n6307 9586\n7195 8477\n11528 13617\n4797 14793\n13696 15512\n976 3329\n11772 14191\n1800 7124\n6395 8781\n2806 9303\n8474 12138\n7210 12011\n9743 10944\n14367 14462\n4027 14968\n8611 11962\n10401 16138\n12456 14949\n2266 17203\n14353 16875\n9131 12900\n8149 8598\n3455 6782\n9368 16734\n11526 13263\n214 11532\n3504 3573\n14277 15620\n12690 14351\n6848 9455\n535 4019\n1978 8488\n536 10419\n3969 9513\n8976 11047\n1306 6137\n890 7924\n16 2444\n10459 12758\n833 7047\n9538 11218\n1335 14996\n14 7059\n707 17098\n11642 13434\n3357 5387\n1784 2327\n1082 8150\n6864 11041\n8826 16664\n2966 10869\n6 13998\n7133 15579\n1251 2203\n345 8164\n4774 12545\n2855 5105\n4918 5513\n2502 8517\n3050 5785\n2722 2865\n3926 14658\n1180 12288\n9979 17181\n2620 10515\n3649 9802\n6445 8696\n3616 16604\n2850 3226\n6699 10073\n8146 15742\n2816 16312\n4428 13615\n4079 14319\n6134 11873\n887 6870\n9483 11561\n5527 11525\n4448 11844\n4173 7548\n11081 12007\n296 9057\n11526 15990\n1868 13645\n7325 16955\n8300 9266\n6125 10326\n3418 15458\n4191 11031\n14952 15056\n6294 15573\n6694 10093\n859 9259\n4098 7295\n6615 13126\n2535 11538\n4763 5512\n2428 3221\n7815 14974\n4500 14379\n7191 16392\n8104 11830\n6458 10809\n10689 16668\n2261 3501\n14722 16228\n3787 13126\n3805 15151\n4660 7972\n440 10353\n8257 10321\n5136 13909\n8170 17037\n850 13044\n1127 1388\n1922 8487\n8384 10911\n11749 16125\n4881 9380\n2893 9759\n7495 12733\n7433 16467\n10472 16889\n2545 16457\n9332 10598\n9189 17165\n561 13990\n9113 12826\n5635 6704\n920 2426\n7268 9946\n2525 11373\n5164 6038\n415 1125\n408 6350\n799 5780\n7145 13330\n55 13116\n13065 13922\n579 16301\n12380 15418\n3767 15806\n8721 8961\n8327 14598\n2139 15750\n1308 12683\n1617 11331\n6274 16159\n985 16137\n7611 13518\n12452 17423\n2288 7204\n1859 15896\n2473 13295\n1706 14508\n12887 13318\n14916 17306\n8275 11515\n8291 9431\n8336 11564\n4176 9627\n2545 12033\n6020 9900\n9647 15032\n6034 6106\n3857 13078\n9211 11961\n7522 13578\n7428 12567\n4715 10188\n6270 10033\n5297 6618\n5288 14560\n9258 12145\n9686 11424\n2189 13663\n2578 12156\n10084 12372\n4781 4964\n4382 6306\n164 4052\n15204 15556\n5006 11513\n14852 15831\n7674 8849\n7065 14634\n5854 17057\n1457 7508\n8072 9988\n7723 16707\n6116 13282\n9064 15295\n6439 9294\n11372 12045\n6377 9881\n2666 3546\n4121 10048\n11287 13339\n5176 13044\n9383 12327\n8240 11420\n2225 16211\n5704 17332\n5542 5982\n7859 8638\n11032 15696\n2902 16607\n2389 14249\n4460 15251\n2951 11762\n11078 12786\n8251 12654\n3105 6422\n6284 9330\n1537 3639\n15199 16227\n11221 12352\n2105 12126\n1930 17244\n306 9966\n16683 17449\n1968 4702\n3672 4468\n2775 5514\n4356 15835\n942 6227\n6486 8888\n4749 14857\n959 7120\n9015 11359\n1338 16159\n10779 12957\n10389 14955\n9532 15503\n2384 3598\n4030 6410\n7261 12280\n11941 15591\n3142 9663\n977 8875\n35 3005\n2292 10299\n293 1977\n1385 16300\n2256 7059\n6699 8588\n7497 11451\n10838 16992\n3106 16425\n1955 15497\n2010 14751\n700 3282\n8481 10625\n3177 13335\n11960 12617\n428 7496\n6717 15111\n13318 15342\n5725 6759\n12039 15488\n1983 5971\n828 7095\n5774 6826\n5816 16175\n4727 7636\n13022 13886\n5065 5574\n5181 9255\n3404 5104\n11699 14367\n113 10310\n9923 17100\n16159 16600\n3425 12909\n8582 17377\n2843 3544\n11961 12779\n546 16602\n14508 16245\n5614 16959\n7250 7965\n2600 2766\n1502 10221\n2407 12959\n11819 14151\n2658 7118\n7733 14239\n13711 14136\n12178 12557\n2484 13765\n11106 15113\n5091 9051\n1433 10014\n940 2102\n250 2147\n8415 12350\n1975 12690\n7387 13718\n4946 12701\n1316 15167\n2610 4517\n16378 16737\n8863 14043\n9297 12468\n2493 3621\n11731 12348\n7323 7436\n14531 16464\n11432 12088\n1361 9498\n1844 12702\n2517 3795\n7527 15637\n13064 15462\n198 10327\n7102 15901\n2249 4128\n6466 15411\n4319 13326\n10075 16978\n405 13411\n9883 17352\n6513 9128\n2106 9941\n9319 12543\n1721 12028\n9856 13029\n11619 12115\n675 6724\n6701 7397\n14292 15372\n167 14910\n3335 12698\n2768 12104\n7662 14496\n8003 12528\n9819 11332\n6643 7364\n5055 7191\n2542 5244\n3170 15242\n1753 2937\n10475 15515\n12287 15287\n9858 12597\n126 15672\n3971 12556\n6209 12487\n7406 7590\n10780 16786\n3035 9502\n824 1560\n1770 14059\n10723 13312\n1404 9452\n2516 14925\n3704 7132\n6272 8971\n1733 12677\n10680 11821\n4496 4505\n3812 9470\n8299 9048\n5975 14117\n3427 12455\n1316 13465\n5969 8221\n5486 12171\n6035 7826\n14298 16151\n9795 16831\n9348 10814\n1965 9491\n11854 13026\n8919 14380\n4201 5136\n2105 11488\n12138 15089\n8085 16687\n382 17240\n967 2479\n8302 12832\n2278 10734\n11237 17276\n12792 13789\n3610 10357\n2260 8257\n8775 16881\n5442 12590\n9511 10981\n16271 16826\n10318 14150\n1886 8636\n4830 11972\n7335 17344\n3172 15200\n8613 17070\n1590 7950\n1660 9830\n8696 9182\n5465 15872\n8966 15039\n3533 13722\n5168 8212\n5146 13512\n1984 10103\n2210 13018\n2815 15430\n156 12273\n676 14300\n12825 14483\n12019 17102\n9860 13384\n5685 17162\n3378 13001\n15706 16725\n12075 14542\n6462 6904\n2158 2490\n1715 14388\n8312 15429\n14411 15359\n5435 8350\n162 15760\n11456 11644\n9311 17243\n522 5607\n684 12369\n2532 5684\n2281 6356\n1115 1844\n515 10030\n47 12306\n12032 12812\n9767 16955\n1897 5609\n4075 14019\n11749 12758\n3575 7000\n5737 16669\n8672 17052\n2931 16045\n4105 14688\n6580 11231\n1848 8180\n5153 7925\n6751 13540\n4284 14140\n14203 15004\n1551 4063\n3823 15403\n2185 8990\n15920 17208\n11963 16851\n2754 10441\n1553 16102\n4716 7942\n7109 13266\n7867 8495\n3199 10506\n9927 14848\n878 5451\n7988 16404\n5481 5733\n1147 8128\n9722 13010\n7325 14387\n3782 10450\n9769 10232\n4900 6513\n9944 16949\n3864 10459\n607 9213\n6589 10252\n3024 8127\n3293 8235\n1846 17025\n2103 16959\n2324 11579\n3294 9593\n6843 14130\n1562 8063\n9273 11083\n8752 15312\n7148 11261\n12214 16061\n1225 14831\n8664 11019\n1555 6138\n8358 13740\n4502 9567\n2178 4569\n23 13125\n17016 17161\n5185 7473\n1907 9834\n3752 17070\n1882 16432\n4197 13776\n10449 13714\n2361 6480\n10404 17324\n636 9086\n10627 17045\n6246 17462\n3316 8647\n5119 14640\n10267 14174\n781 2056\n5242 10883\n6758 15926\n1604 16447\n3923 11056\n15643 15672\n11534 11757\n10386 11982\n12951 16276\n11833 12831\n1414 12699\n1736 13290\n7690 15608\n11667 15065\n2776 7444\n5724 7012\n4288 5370\n472 7148\n4691 7130\n9960 13370\n15189 16239\n14197 16174\n3361 5997\n4751 14154\n88 11636\n1437 8310\n4838 15103\n2361 14146\n1298 15498\n3156 5972\n9784 11806\n5313 9967\n9459 11093\n4032 11996\n1830 8419\n6491 13478\n10418 14089\n1436 11926\n3688 11880\n2498 5180\n1437 14718\n11366 17002\n4381 17294\n1777 8041\n7658 11938\n2164 3017\n205 12691\n4924 9556\n264 6894\n3941 9365\n9531 12262\n1919 7036\n361 7695\n5309 5894\n1744 16432\n7332 10455\n4203 6002\n3131 10968\n7479 8390\n5060 5443\n2177 3362\n13684 14701\n14258 16692\n10186 11270\n459 10394\n5395 7550\n9495 16402\n7419 16044\n635 2262\n3951 6484\n3683 17046\n4386 11136\n1761 10635\n8100 13843\n4475 5657\n10023 16744\n4806 6348\n4553 5385\n5290 16643\n8955 14907\n448 9042\n8301 16174\n12159 13672\n6590 7125\n4398 9177\n6579 15482\n13566 15496\n1545 4336\n3347 3710\n236 8154\n5967 13500\n5391 14458\n1482 14693\n363 3755\n9156 11872\n6035 11009\n8006 9377\n2670 15830\n4459 4470\n2978 6536\n8010 15880\n916 11748\n8930 13250\n8079 10005\n3289 12892\n593 2840\n9381 11249\n2253 8997\n9962 10276\n5857 9545\n566 12517\n135 10803\n806 3685\n13214 16414\n408 9674\n8973 13377\n6883 16246\n4199 6013\n7703 12166\n6651 9829\n3377 10998\n3582 9642\n7110 11211\n5419 15600\n2900 11845\n340 9064\n10173 11685\n2128 6881\n3411 14990\n12284 16246\n8171 17071\n3647 9617\n10014 14017\n10912 12691\n3250 7477\n8378 11593\n5133 9583\n4754 8091\n6965 12131\n1912 17188\n713 11122\n12247 12408\n3030 11571\n9336 12895\n9268 16776\n8416 14509\n3004 12549\n11236 13673\n12095 12137\n4210 15131\n6834 11452\n5402 16013\n1979 10766\n1617 3111\n340 6470\n300 1295\n9653 12586\n6744 7064\n10321 12514\n5750 17232\n2936 14303\n653 3607\n2885 6234\n11668 17134\n318 592\n2346 3653\n3894 6802\n5958 8707\n11791 16176\n9898 13865\n6695 16155\n6036 13350\n5576 13014\n11933 16761\n10667 11988\n8037 15941\n4775 15032\n2249 10763\n4556 6540\n8970 14458\n6166 16619\n3320 9561\n12434 14839\n11003 15284\n3113 5568\n1453 3275\n8953 17262\n1750 15390\n7616 8540\n5313 13300\n3542 15042\n5247 16643\n4605 4978\n2185 6117\n1556 3938\n1409 3863\n6159 8966\n4541 16397\n6679 7420\n9028 9389\n1381 10936\n6201 13349\n7604 14469\n5993 9173\n744 9519\n5841 15783\n2651 5057\n1524 3672\n9252 13119\n13414 16775\n14388 15302\n5073 10051\n12596 15872\n2371 3339\n17040 17462\n7314 8003\n4520 7510\n2914 15188\n2124 7741\n2203 13880\n8213 9168\n11969 15745\n11140 13691\n4822 8718\n12361 13885\n6967 12246\n873 3966\n4719 12532\n5146 14032\n10761 11517\n6426 15536\n136 14167\n2383 10317\n3975 14503\n1612 13363\n2065 17159\n4563 15136\n3103 5474\n8915 13042\n3408 4160\n3269 5980\n2866 10617\n11999 13120\n11372 11798\n4158 5612\n8903 12691\n663 9216\n31 16447\n7160 13577\n1173 14151\n9207 15396\n4742 17229\n7529 7568\n6993 10125\n2317 13599\n1342 12164\n4134 9962\n15051 15787\n3559 12322\n11624 16594\n11456 14177\n2688 14955\n3834 13483\n693 10334\n10785 14919\n14408 14881\n8546 17132\n8098 10676\n11055 12342\n5583 8325\n1786 14054\n12860 13770\n3235 3484\n10713 17098\n58 305\n4070 11638\n2302 3206\n12487 12531\n2994 4642\n5270 11672\n12713 14956\n2846 13032\n3666 14939\n2083 3710\n6647 15779\n6702 9146\n7648 9759\n9030 15849\n10169 12260\n1992 14100\n14273 14979\n1320 10486\n4553 8152\n8866 10011\n4643 13838\n12858 16588\n10269 10888\n1058 15617\n2948 9160\n8368 9393\n295 322\n10033 10507\n2395 4836\n708 3259\n5498 6125\n6067 7780\n1217 16112\n6418 15438\n5242 11323\n6283 12807\n2940 11589\n718 8016\n5765 7566\n1550 17326\n6771 14769\n8515 17063\n16328 17373\n6546 14338\n2169 16642\n9788 12754\n2012 12762\n9193 14407\n3464 17387\n15069 16596\n4497 10061\n6331 11175\n1857 15304\n9756 11918\n2352 5873\n15785 16989\n5264 17001\n14427 17182\n15008 16850\n2266 11405\n2298 7616\n16678 16868\n7836 13897\n4012 13260\n9651 11354\n5973 17160\n5512 14570\n4424 4859\n3757 9450\n4947 16930\n1075 15247\n49 11454\n9208 14985\n9612 13314\n15222 16616\n624 9835\n6030 8543\n13004 14753\n663 1351\n2178 10856\n12375 14681\n279 9787\n2608 15387\n800 11365\n4276 12821\n9199 14705\n10501 13897\n777 15322\n4635 5779\n1652 14384\n9834 14181\n3007 11182\n3451 4020\n10222 12522\n4985 9189\n6972 17425\n3103 14901\n12086 14528\n442 3258\n13887 16647\n2797 11743\n6812 15840\n2390 13047\n1614 5002\n3768 15782\n5763 15970\n6607 7839\n7925 16522\n1978 11607\n11251 12534\n9253 17352\n3338 3835\n1476 7744\n7354 16297\n4031 15467\n4036 15263\n1605 10562\n1015 3434\n5813 15205\n216 3983\n2408 11080\n7325 9892\n7147 14695\n16797 16822\n9092 12281\n8701 14158\n13002 13266\n2580 12465\n13205 17098\n1173 17131\n656 14619\n9562 16923\n11940 13711\n3221 14381\n4358 12544\n1397 5688\n2964 12527\n3973 5266\n13195 17159\n3760 17266\n11977 15713\n8268 15210\n3842 15204\n433 1647\n449 4286\n5788 12312\n12155 16374\n1885 7829\n1950 7784\n13413 15281\n3752 4330\n1766 4441\n8888 14604\n184 799\n3578 11914\n3895 4864\n15210 16489\n14692 15756\n568 15266\n8249 16136\n5265 7950\n4328 14953\n1872 2666\n5167 13668\n6297 8456\n3458 5314\n13439 16058\n4616 16169\n1494 14294\n4344 13354\n2874 8207\n12674 16378\n8612 12218\n8905 13485\n1367 4468\n2539 10098\n7857 10282\n12208 15410\n4386 4539\n1231 17241\n5062 12535\n5071 7442\n9431 9453\n6039 12677\n11344 12688\n1369 5568\n2290 8193\n13775 14413\n7395 15922\n12341 13659\n2377 15018\n5498 15551\n4349 13235\n48 11444\n3103 14482\n3844 9303\n1584 10076\n78 12500\n14840 17361\n11856 15570\n2333 9767\n1925 2183\n946 8199\n1268 16117\n5272 10654\n12388 16765\n6995 9626\n6983 13232\n7926 17318\n1574 11809\n6650 15375\n8070 11330\n1502 6002\n7645 12884\n1761 4281\n8040 10078\n376 5325\n1044 4091\n5036 11063\n4057 11344\n7135 16173\n2612 5730\n6853 17226\n12173 12460\n1384 11687\n8681 12672\n9876 17104\n10924 16474\n16626 17211\n3564 13657\n8424 15644\n4546 16717\n13675 16037\n806 5936\n9512 13082\n3306 6232\n2341 12564\n1796 16894\n3923 5342\n5522 6766\n10225 12640\n929 7708\n3552 13825\n10122 11836\n10275 16547\n7719 16850\n5720 11287\n9489 12846\n112 5981\n3458 5024\n6767 7299\n3224 9106\n4335 13228\n8392 14146\n1430 7240\n1537 12442\n1562 14264\n7495 14952\n7050 16405\n5162 16694\n8549 12030\n6777 17302\n1708 6895\n2348 13367\n1173 3289\n7087 15441\n3086 16158\n6375 12022\n263 9085\n1391 4933\n4310 12021\n2826 4511\n9097 15870\n8356 12847\n686 14764\n8116 14803\n1726 4704\n6023 10949\n2582 16522\n1530 15401\n3357 15153\n25 16930\n3012 14623\n8660 9593\n2154 7048\n212 4077\n2409 5243\n2982 5443\n1090 14335\n8092 13515\n7076 10040\n3869 14164\n6720 12896\n7536 11210\n4598 11369\n1435 9243\n13795 14339\n1165 1286\n12446 15528\n6429 14576\n8028 9992\n1311 15577\n1259 16608\n4775 8886\n13069 13558\n751 9448\n3371 17107\n1558 10568\n218 8592\n160 420\n5038 11011\n7208 9440\n1244 7424\n6135 12213\n14263 16814\n4077 9776\n3308 4351\n5205 6235\n3173 6773\n10275 12030\n1720 4467\n10076 12229\n6306 8761\n4840 15372\n3788 6652\n9174 14409\n11265 14767\n14295 14448\n9386 10511\n2830 11766\n6080 7917\n5681 12431\n2099 8663\n4729 11757\n864 13351\n114 16882\n4279 16566\n2287 3557\n5883 17214\n7444 16377\n13117 15697\n8618 10021\n3651 9272\n59 10959\n3301 6639\n800 1111\n7619 15872\n7269 16468\n6047 17306\n3012 5832\n7158 13661\n3148 7376\n8815 12928\n2074 14575\n7603 7816\n6582 7112\n8936 13049\n197 6007\n1524 7673\n2573 7954\n1956 4418\n5859 6483\n624 1639\n9170 13127\n15613 15989\n6554 6853\n1383 10412\n5569 10644\n7892 15016\n4333 10323\n7784 12745\n5226 10943\n4614 10259\n297 8706\n3450 12070\n6500 16941\n9585 10047\n6208 6798\n13126 13780\n5678 16043\n3179 6467\n1275 6180\n3755 17238\n5223 12777\n3630 9715\n7909 14084\n7820 16911\n5316 10888\n6606 8072\n7765 12375\n3188 14145\n7155 13476\n9555 10331\n3160 15681\n1764 4398\n10464 17271\n1434 4429\n363 6294\n5895 16558\n838 12128\n5780 8531\n1010 9158\n5328 9084\n1677 7288\n4959 10224\n1299 10210\n11324 16689\n12481 17137\n8367 14554\n2989 9953\n2685 15136\n1756 11386\n10087 12840\n4689 6424\n339 913\n9978 10077\n14886 17453\n7350 12670\n13745 15633\n777 16462\n1031 5843\n2884 13661\n12025 16287\n7551 15402\n3112 4277\n1073 7195\n6721 8843\n4226 10657\n4464 13135\n11929 16238\n5167 5420\n14264 16525\n7794 16018\n8344 14229\n8293 15450\n157 16946\n7981 12113\n964 15847\n2014 15580\n1843 4865\n2410 11593\n6187 8741\n13418 15071\n8296 10099\n5067 9304\n2687 16633\n6705 15772\n10938 11338\n10855 11060\n1962 10675\n10027 10530\n3376 15674\n3234 4159\n181 5933\n2901 10595\n2799 4509\n2402 3932\n2154 10110\n12245 17372\n13205 14958\n3800 16363\n3003 3083\n2357 11494\n4134 11417\n3251 4370\n3774 14537\n10834 15618\n1937 8396\n3631 12461\n1094 15433\n1285 13761\n10776 17354\n11510 14615\n5427 12331\n6076 13957\n9699 10784\n3527 12710\n681 1345\n206 6347\n271 6264\n14578 16185\n6105 8708\n1361 11427\n1867 6424\n6913 10477\n1588 4642\n5225 5862\n8827 11740\n15203 16843\n573 8112\n2640 2694\n16339 16509\n142 12956\n9847 11485\n447 2999\n4592 12137\n6155 15794\n783 13578\n7179 8531\n7355 10170\n4620 9754\n9645 15304\n8068 13892\n2688 9663\n11015 13178\n2358 3094\n2404 10344\n5901 6162\n731 13402\n6905 12042\n8714 16752\n2548 13392\n10454 17066\n2836 16939\n8871 12265\n2204 6966\n819 12640\n3745 8543\n1553 2781\n9526 15910\n3319 6021\n3290 13707\n5090 16583\n2306 6912\n10103 12132\n1848 13004\n2826 4299\n2999 5883\n511 626\n4238 5991\n864 9507\n1708 12602\n7768 14145\n211 7919\n7958 14839\n1448 16681\n5058 12921\n3465 12036\n12888 16921\n561 11609\n5552 12840\n16987 17200\n5511 16315\n4785 7529\n8955 11261\n3829 16625\n9427 11339\n14507 16872\n880 3594\n4628 14590\n16620 16998\n2567 10487\n3996 17426\n3139 4098\n2342 7070\n1958 11001\n5519 10977\n116 7011\n10694 17361\n4442 9799\n2862 17191\n3950 6147\n8947 11669\n5484 15337\n8804 12285\n13780 15058\n1528 12399\n8819 15562\n9366 11602\n3149 14379\n5798 13803\n13563 14017\n1209 1351\n3929 16814\n5853 6352\n2185 13627\n400 963\n5081 10002\n558 7296\n938 3022\n6524 7408\n1155 11559\n1000 2507\n412 3898\n12617 17042\n2047 2770\n1731 11783\n4678 5884\n8099 10259\n6217 11069\n6857 7162\n3132 8640\n7455 10884\n2051 10067\n4786 10027\n6797 12794\n3550 4527\n941 4232\n8917 14091\n513 17184\n6140 9936\n690 2631\n6112 12315\n8714 10572\n8160 15763\n11176 12416\n11262 16661\n7105 13132\n7409 17445\n3638 10314\n597 11912\n7498 14625\n9236 11798\n888 15342\n1279 16574\n3391 3954\n4084 16452\n12846 16046\n903 3620\n5023 7275\n8558 9660\n497 3816\n3521 10445\n13573 15315\n10208 11276\n6765 11060\n7402 11238\n12997 15006\n382 2431\n3475 7571\n286 8609\n1653 12006\n14551 16239\n11074 13769\n847 2400\n2821 15272\n11092 12764\n3032 6105\n176 11635\n6227 14582\n7912 12593\n13755 13951\n6716 12051\n415 12207\n467 4739\n4816 5325\n5582 7659\n6768 13639\n13365 17383\n6346 10581\n4679 14879\n5993 12618\n11979 12804\n3639 6639\n957 8120\n89 8812\n9260 14939\n8007 8370\n1878 10409\n7515 10859\n7484 11953\n9486 14575\n6655 15700\n2038 10330\n10901 12673\n3895 7735\n804 2973\n1677 11618\n4168 9553\n571 1944\n7059 11492\n118 2634\n9464 12263\n7943 10060\n13763 14134\n10434 13937\n4320 6200\n2310 8812\n7321 11125\n2212 7020\n100 10876\n3542 9301\n13482 14930\n5066 8870\n8420 13400\n11315 12695\n1099 6648\n8521 16290\n8212 16749\n4764 14084\n4702 14441\n4675 14706\n11044 12016\n3977 7838\n11098 13988\n413 7397\n8231 11046\n274 13424\n6083 15613\n15918 17374\n8723 11715\n6641 6644\n1612 2921\n2538 13216\n7587 13065\n2879 7606\n1401 6504\n4630 9797\n8298 11693\n10014 15386\n5947 15345\n5057 9131\n2361 6002\n14328 14585\n6661 16195\n15645 15968\n8404 8879\n12199 12935\n631 2250\n5505 12547\n9679 15835\n1608 13929\n8058 12664\n14139 15508\n2766 12572\n14019 16145\n13169 14263\n8386 13339\n1102 12935\n4176 15849\n7940 8228\n2605 6119\n441 10884\n5412 12427\n11753 12168\n1374 7546\n2283 8524\n12075 16954\n6035 11638\n2052 3758\n9865 12765\n13638 14395\n6955 14399\n9107 14411\n2530 16196\n4447 12616\n7951 10358\n702 17374\n10854 11215\n3081 7730\n3932 11848\n3596 10984\n4361 15712\n7506 8810\n4869 6751\n2308 11807\n1928 6683\n1612 14632\n11743 13030\n6020 16267\n3263 13650\n3297 14673\n7439 14419\n10303 16602\n5040 5605\n3650 11875\n4026 10105\n3126 16877\n10476 12544\n5570 15045\n2400 3387\n6695 15165\n13348 15085\n12038 13586\n160 4958\n9429 14701\n8524 15122\n4333 8047\n1019 1412\n5348 6681\n8655 13556\n6287 15881\n2998 9304\n4044 12845\n12234 14742\n1946 7730\n6178 16549\n1341 11754\n3133 6557\n4960 11947\n6376 8856\n7562 8116\n6862 12393\n11049 14397\n3158 14319\n4441 9150\n6260 10081\n1390 13302\n8634 14829\n603 8678\n6694 13616\n4673 15559\n8741 13028\n13732 16948\n4575 12890\n1774 5665\n6018 8536\n9856 14858\n3342 8743\n8327 12170\n603 2091\n9007 12489\n3033 13586\n2283 4167\n15854 16824\n954 13606\n1359 15506\n10062 14822\n7263 8957\n3982 7382\n7693 9101\n1711 7476\n4240 13076\n2155 8905\n801 7106\n4324 9758\n4545 4692\n2878 3346\n5440 5719\n7579 15173\n12315 15748\n1228 13949\n13582 17027\n4986 16154\n1943 3905\n8117 16875\n11715 12073\n13004 13339\n4359 10211\n4746 11353\n1298 12527\n8393 13946\n12719 15936\n10977 16648\n2302 16151\n5051 7743\n5142 17026\n5084 9613\n2436 13299\n15346 17181\n10433 14104\n4961 11587\n2432 9324\n2210 4889\n3046 14181\n1986 12328\n1832 11768\n3208 4089\n15785 16879\n15013 15580\n5172 8982\n6045 6085\n5122 5652\n8110 8444\n8422 14890\n1855 15504\n2134 7037\n442 10955\n10231 10725\n2947 11207\n10309 15112\n9942 15396\n13054 15592\n1311 9000\n477 1786\n6081 12734\n1651 11063\n7616 11897\n12420 16927\n407 15336\n64 5626\n1362 3350\n6250 11181\n5695 10008\n413 10235\n1306 11079\n867 10875\n10392 17200\n7721 9023\n13288 14633\n4478 15516\n3450 4852\n8325 16198\n6240 16535\n7424 12791\n7966 16546\n5935 9431\n390 5555\n367 3636\n7523 7549\n10637 17314\n3691 12401\n1730 9298\n12258 14483\n610 2902\n441 2687\n5028 14725\n4565 15529\n8803 12700\n1168 9079\n1205 16757\n7106 17332\n5906 9149\n15982 16488\n1357 4089\n6118 16556\n3749 10689\n8689 12119\n9482 16480\n4158 7787\n12186 14304\n11649 11650\n4768 16091\n11682 16852\n335 698\n167 15442\n7902 16756\n8677 16074\n5568 13950\n435 13910\n5369 12756\n10088 13123\n12943 17006\n978 16170\n6490 9852\n875 909\n7271 7691\n2622 16821\n937 16716\n1075 4566\n2391 8475\n10749 13354\n537 13471\n1503 16522\n11071 13186\n2396 14339\n9682 10093\n6571 16928\n2619 12971\n4486 10584\n5145 8091\n5689 7371\n277 12536\n469 8979\n11438 15452\n11693 15086\n1951 4527\n13789 16695\n1042 11270\n1583 13847\n4061 14024\n3186 10591\n7063 14718\n12913 15042\n1230 7294\n4122 13097\n3352 4045\n6133 15621\n2427 15366\n5460 8350\n15313 17406\n15565 16509\n9892 11104\n4375 15643\n10656 14049\n5489 10979\n1062 6562\n4752 10487\n507 4377\n15942 16568\n6884 16768\n10326 17059\n6828 15401\n5175 13803\n7625 10538\n1446 16366\n108 11230\n9794 14114\n6037 6640\n5554 16789\n2747 6419\n2325 12198\n14974 16490\n6533 11044\n203 1583\n5171 16737\n4199 13478\n7292 16683\n1548 11725\n1621 15919\n12825 16289\n2747 16818\n1232 6626\n8149 12744\n14332 16071\n401 6574\n7834 15300\n13929 16093\n13909 16918\n5903 10761\n2863 9785\n13057 16702\n6575 16894\n707 1465\n15393 16250\n11454 15961\n10845 14592\n13568 13851\n1991 8617\n9641 16781\n3480 13572\n14495 17246\n5318 8916\n1132 14393\n358 7702\n4877 5992\n5623 13190\n10391 11077\n156 11495\n456 492\n4855 14741\n47 16848\n3482 11179\n10965 11146\n178 9554\n6086 7238\n861 17278\n8451 12668\n158 890\n7969 14029\n9198 13222\n3814 13008\n1623 5456\n2715 12387\n429 10028\n1640 13224\n1373 4851\n7627 17241\n1420 3353\n5716 12148\n1192 5724\n8728 10673\n12650 14461\n9734 10246\n12649 17019\n2819 6414\n11108 16265\n7625 10675\n4626 13583\n7261 9146\n1584 2414\n6636 16472\n1453 6231\n8113 11741\n328 6220\n5472 11856\n7684 10893\n10056 16598\n9784 11100\n7990 13862\n7015 16625\n875 2275\n5504 9578\n1692 13066\n13715 14427\n4832 6595\n5877 16060\n3449 15486\n11866 13679\n8499 16459\n3946 7753\n5649 7817\n1600 3273\n2953 4785\n4156 7582\n4186 5936\n1307 16624\n8691 14504\n10460 17099\n1602 6776\n6520 16007\n7776 17057\n8700 14052\n3880 16390\n7891 12914\n421 1151\n3021 10331\n10170 16963\n5024 8226\n2783 11026\n4557 8677\n2789 3989\n1147 15759\n5136 9032\n5130 9273\n11316 15703\n2911 17460\n763 9460\n1902 7244\n1104 14480\n4081 4657\n10102 10115\n2014 8204\n1074 5620\n9636 17439\n2827 13652\n1805 17026\n6459 13368\n4634 12713\n8163 17395\n5395 15847\n2417 11282\n433 12611\n3770 17358\n9154 12903\n3495 3855\n10024 14183\n14005 16191\n8009 10473\n728 963\n2136 16506\n5614 11436\n4 14667\n9391 17355\n10600 11341\n9628 12794\n997 1375\n11026 13348\n2872 17357\n4849 10243\n6972 16701\n7639 13086\n7974 16965\n5 7314\n3619 9001\n269 17284\n9760 16695\n1958 4120\n9276 15287\n9887 10948\n7597 8433\n3137 3331\n6127 8694\n3051 11504\n14143 17110\n4861 8630\n12178 15026\n6560 16137\n5846 7149\n8899 15719\n1028 2161\n586 17072\n15493 17127\n1071 13304\n11327 12736\n6326 7158\n3319 8265\n9458 10195\n1129 16921\n3040 13883\n6788 11560\n8344 12708\n4510 8175\n12673 13117\n5983 16918\n4137 6897\n5834 10843\n1456 9386\n11456 17129\n10411 14879\n2508 3730\n3956 12572\n655 13982\n10139 14966\n4998 12111\n2731 9584\n4691 9173\n3407 13023\n1124 5528\n2172 15849\n1297 14103\n4532 10598\n7079 8747\n9285 9967\n10699 13867\n705 9744\n6687 9942\n13280 15383\n8705 9384\n2266 14762\n7458 10836\n12269 14397\n2470 5287\n16417 17106\n3643 6621\n1695 2687\n1215 8074\n66 15641\n6978 13832\n7182 16275\n9923 11797\n1022 4073\n5927 15713\n9535 15007\n314 15371\n7581 14876\n6631 7771\n1719 4940\n9003 10164\n3964 8477\n3313 16158\n8496 14348\n10267 13178\n16745 17146\n7826 15906\n13546 14712\n8584 9522\n2566 4163\n1513 14817\n7275 17211\n1303 13673\n10913 16740\n35 11716\n5269 15109\n4943 4969\n16333 17041\n4148 6462\n241 12382\n9898 15469\n6555 10655\n5921 16865\n1710 16382\n7372 10021\n8296 15953\n3598 4770\n11219 16899\n4010 8368\n6455 7445\n2589 3620\n2466 6432\n9616 15920\n7234 12388\n4301 11096\n6363 10397\n11232 16799\n3251 13541\n4681 10169\n7143 17058\n1618 2636\n1298 4286\n12324 12392\n6665 7256\n2374 9411\n3831 13702\n2740 3258\n2395 10052\n2953 17294\n9740 13862\n5228 14919\n765 3863\n6187 15925\n4330 6225\n14379 15421\n6212 10273\n6108 14812\n8376 9164\n8719 16937\n3746 3986\n6494 11279\n6578 11268\n15483 16830\n1418 6798\n5953 6954\n510 822\n12081 16938\n1877 14793\n11644 14673\n8666 14002\n8725 12200\n8631 11925\n2429 11419\n3808 10876\n4222 13779\n6866 16755\n2138 12397\n3038 4742\n112 15320\n751 10782\n2849 10127\n9208 12073\n4495 9691\n2045 11356\n16332 16561\n8177 12444\n4222 13514\n1449 12628\n5330 6379\n5283 8159\n7852 10839\n7646 11805\n10720 13773\n12174 13495\n2079 6011\n2197 13894\n10756 16193\n6540 6618\n10233 12076\n10019 17253\n2487 16987\n1714 16882\n6604 9892\n10373 13561\n15971 17151\n12843 15255\n436 12677\n12113 12979\n3799 9715\n3980 8864\n10971 12848\n4889 5116\n7367 13602\n14383 15677\n711 8401\n1274 3418\n9901 16593\n8840 10221\n5542 8980\n4317 13986\n1121 10768\n16397 17292\n12089 17020\n4606 13938\n24 6679\n946 13039\n418 3701\n5020 12618\n1780 9896\n13975 15966\n10197 10204\n15474 16406\n519 4658\n12985 16629\n130 1731\n1608 13839\n13939 17290\n492 16460\n478 5206\n2109 2843\n11353 12796\n3699 14897\n7532 13167\n10233 16930\n1588 14178\n662 11970\n1510 15046\n240 12365\n1667 12405\n521 7944\n329 9433\n8379 17092\n7638 11947\n3166 11318\n6128 8620\n66 13596\n8220 14684\n10578 16429\n4780 9235\n1947 16124\n838 1428\n1689 10121\n1033 6665\n3088 7792\n2710 12557\n321 11109\n1214 17313\n2154 9015\n3092 16289\n501 9502\n5346 12167\n4355 5248\n1885 7075\n5484 10119\n6322 14963\n3688 15998\n6906 8607\n13385 16560\n113 7225\n5675 10715\n1394 8242\n14182 15277\n12049 17257\n4803 16249\n7143 7670\n4563 9200\n1514 14057\n4568 6049\n8206 12830\n7496 17010\n2492 3326\n9023 16243\n166 8737\n12274 12961\n2064 11495\n720 4362\n9029 10007\n7298 15270\n2080 11137\n5894 6884\n8595 10809\n3138 16179\n3156 16251\n8981 15254\n2460 6759\n11695 15870\n1035 15624\n5605 7004\n7885 11442\n3881 5154\n10904 12383\n8527 11076\n8153 11197\n16667 17159\n1587 10379\n359 4140\n1613 8998\n3883 11009\n9339 15671\n5128 10406\n2971 6496\n4933 5759\n14227 15324\n1111 10126\n3337 8697\n13154 16816\n9106 15450\n12680 16619\n3520 10800\n7120 13670\n10877 13107\n4492 5870\n11877 16393\n2189 9066\n6679 12888\n5077 12415\n1422 7796\n2567 6607\n6022 8136\n4721 10292\n3389 12109\n3336 9010\n4221 5057\n5022 10892\n11070 16975\n3068 14652\n7065 11867\n5638 10653\n6986 16665\n1605 14623\n719 9219\n6474 9122\n6423 9805\n8426 10141\n10910 12556\n4997 14970\n5748 16440\n193 13898\n11669 16281\n9778 10956\n10698 13615\n9323 13831\n8958 11815\n3816 5396\n400 11352\n3318 15580\n4589 14123\n81 12728\n5631 5744\n32 11132\n9688 16742\n1434 7595\n11380 16381\n5006 15214\n8457 8526\n584 682\n10496 13864\n902 9732\n4632 9817\n6284 13385\n14471 15142\n8294 9504\n4505 6890\n1093 1112\n6244 7479\n9699 10753\n5908 11865\n398 11125\n4105 13083\n5177 16766\n3647 16221\n5296 7679\n3436 6429\n4234 4998\n10322 15231\n1038 10148\n10897 14038\n8898 16853\n8938 14543\n3870 15547\n6294 16608\n11623 13822\n551 3001\n1118 14609\n6614 16657\n3634 6209\n8355 12371\n229 17291\n2363 4132\n1788 10077\n1273 3099\n2301 4442\n1244 10591\n726 8225\n6097 11374\n150 1841\n3467 4771\n213 5676\n10775 16317\n8817 12358\n4734 10916\n1933 4269\n1925 11283\n5563 14001\n4262 7996\n8402 9094\n1417 1525\n1993 6615\n528 4230\n15078 16388\n2391 13488\n1850 4011\n6544 17285\n1444 7361\n3471 14963\n1143 11285\n1935 14554\n4802 17376\n6538 12208\n3032 5733\n1232 14050\n8453 14329\n8199 16742\n3865 6581\n4196 6121\n4092 16857\n1270 6791\n7563 13907\n12032 14692\n5997 14311\n3709 11450\n11973 15639\n8499 16855\n13176 14544\n429 12421\n4942 8594\n11706 13779\n5227 8373\n9876 12027\n1318 7837\n1854 6404\n11231 13302\n10247 12587\n3985 7953\n2459 15559\n4175 13888\n6549 14864\n3555 15196\n8129 12504\n8417 15726\n644 3990\n11725 14454\n10617 13631\n4180 16191\n2506 15316\n8923 12461\n12010 16084\n9215 16431\n12790 14254\n4841 10684\n6723 7568\n950 4378\n5823 12488\n2941 4451\n6030 8320\n3388 9111\n3075 11561\n1957 13105\n1758 12351\n1519 7574\n4851 5342\n2251 16073\n3724 15768\n7539 15062\n9850 16720\n6125 7242\n3593 16225\n6399 15536\n537 8977\n8598 14423\n6165 6270\n5690 14227\n12656 16425\n2868 11037\n2006 6437\n3283 12661\n994 6395\n12941 13122\n5119 7288\n7962 11650\n6452 16141\n4649 6418\n10554 16815\n6539 8689\n11747 14395\n843 4151\n3938 10677\n2878 7091\n9207 9923\n5665 11131\n2384 14094\n227 10606\n5005 12820\n7500 16362\n11691 16281\n5425 10766\n10867 15031\n2326 12345\n570 4297\n8270 8326\n13974 16327\n3865 11061\n1721 11956\n9137 12035\n5057 14233\n11022 13143\n2753 5961\n3369 5765\n3652 11472\n559 4355\n9210 13361\n5358 16456\n13720 16980\n4393 11418\n11138 14985\n7612 16188\n2948 4274\n7131 8335\n5516 11504\n4136 15935\n3404 11645\n8638 16719\n11457 17345\n13492 14255\n8906 11302\n1046 13602\n5237 10544\n242 9493\n12094 14111\n370 1687\n7896 13422\n6443 9448\n3416 3970\n5927 10557\n12885 15793\n4239 12368\n6579 16247\n6215 15400\n13782 14407\n1780 14490\n11998 13871\n6187 8628\n10297 10604\n14126 17132\n1655 9086\n6736 12655\n7985 16904\n11984 16807\n4528 9694\n6720 13546\n12767 14456\n1279 4913\n956 2083\n6679 8425\n5433 14700\n4068 7016\n2217 15084\n2209 3056\n8887 15734\n9085 13775\n14361 17322\n11278 14768\n2166 6343\n374 10320\n701 1730\n12080 13129\n823 1515\n15675 16442\n11978 15758\n1868 12111\n1925 3384\n6108 6522\n279 9351\n671 12206\n10894 15744\n7697 10973\n13132 16654\n467 15791\n4261 11362\n12119 13666\n9090 9925\n4969 6920\n3713 12788\n3597 6498\n608 16569\n2612 14434\n8393 15407\n8399 8885\n3342 6659\n697 10374\n4727 14127\n5641 10667\n40 11799\n10488 16156\n9483 9596\n8237 15660\n6745 11994\n4547 17318\n1637 16876\n5189 14019\n3230 12221\n6245 10374\n11362 12736\n13704 16720\n610 12739\n1559 9150\n9268 11429\n7619 12046\n3046 7888\n9931 15351\n4010 10724\n2735 15822\n3556 13311\n14675 15360\n4077 14175\n6144 13491\n12646 15796\n14417 15959\n806 2817\n8564 13665\n7766 13145\n9142 12995\n1021 11832\n2332 9352\n5248 6019\n11779 12784\n374 10662\n6112 8579\n679 2010\n2657 2838\n7911 8055\n4847 11667\n4216 10402\n4419 6220\n3909 10815\n6503 7200\n3181 8964\n11054 11377\n1244 2914\n2129 15558\n12773 13164\n6488 13123\n7050 10561\n13159 14018\n10987 15893\n3462 13582\n3436 16197\n6531 10441\n5988 6110\n7913 12446\n8031 12337\n3095 14002\n4781 5634\n12549 12737\n3144 5972\n9501 13470\n11728 13523\n2031 10993\n8554 11688\n1165 13115\n12558 12795\n7946 13246\n10736 16665\n493 16574\n5277 9307\n3996 6412\n2838 14046\n13886 16580\n250 10133\n10163 17087\n5485 17221\n13664 15029\n9403 16649\n12834 15721\n12930 13314\n6324 17037\n8598 10047\n13770 14140\n7975 12418\n359 15631\n16960 17394\n204 4466\n3886 10604\n9878 13531\n3421 5840\n1840 12977\n10080 14672\n4429 8527\n207 10236\n5994 14895\n11865 15007\n252 3430\n14306 16328\n8189 10891\n9529 13252\n8552 15000\n7906 8341\n5968 8256\n3119 16959\n6462 14390\n3422 13723\n8670 15412\n8175 15449\n8175 16788\n7823 14334\n1621 5822\n7036 8294\n7809 11322\n4970 10570\n9381 12698\n3522 9719\n12178 15453\n8638 10560\n8688 15616\n105 2139\n2234 9521\n10702 17252\n2795 12201\n5408 7644\n705 10458\n9354 11276\n1769 12156\n6585 12498\n1511 13732\n12718 12754\n6134 8585\n6100 6540\n8686 14732\n8482 16289\n748 13783\n10070 10779\n3074 14390\n6224 8313\n3773 14733\n1656 11367\n11649 16450\n2451 6974\n1368 12732\n1415 7423\n2120 8810\n5663 16943\n13554 17022\n1796 4371\n3418 13791\n5140 7036\n12920 17092\n16924 17255\n6237 15472\n34 10567\n9586 16120\n11750 14098\n10413 16283\n13152 15455\n3473 8989\n9712 13433\n5721 13805\n8561 13655\n1185 13025\n5588 17358\n2499 10246\n5536 16519\n4811 15903\n6893 12095\n15215 15652\n3193 16542\n133 8513\n6741 14492\n4737 6723\n5231 17022\n5773 13345\n13109 17334\n184 12045\n13260 13515\n2279 6315\n1136 16376\n1124 10231\n11776 14639\n3848 4443\n13420 15679\n6483 6832\n6580 11534\n6806 11969\n2581 7328\n7299 9204\n461 5344\n3064 4619\n6838 17117\n3787 9942\n1066 1909\n2819 14963\n8407 12491\n11381 16524\n1696 6173\n6517 13032\n2350 3337\n108 8671\n6033 8456\n3520 4594\n1965 4770\n8086 13251\n12855 15911\n10248 12049\n5177 6230\n9509 14878\n4557 7640\n248 8665\n7417 11438\n9372 13206\n9240 15043\n1544 10847\n2622 4979\n602 9265\n8071 15831\n17087 17317\n536 8681\n4084 10017\n7765 16278\n4697 11590\n3380 9944\n4777 10993\n1030 2991\n3711 16568\n3345 16187\n4013 13378\n5904 15796\n49 13862\n4091 5413\n9015 10016\n10440 15709\n3239 15202\n8027 12398\n1455 15860\n7214 9674\n10866 13977\n9403 9642\n8007 9016\n578 8963\n15806 17242\n5476 15579\n16787 17402\n6978 14329\n1804 16994\n4439 4693\n7435 17277\n3348 15390\n9556 15995\n407 12644\n5795 12013\n5328 16859\n753 15679\n2501 14534\n5187 8915\n13531 16103\n5225 9559\n6181 14759\n5847 8015\n9653 9716\n1129 11751\n14677 16059\n3817 8573\n8975 11541\n2974 14485\n2303 6055\n7844 14733\n3690 8738\n5547 7790\n7775 12368\n2244 10558\n4655 10603\n5644 12778\n15857 17001\n1315 15551\n2113 11670\n16756 16931\n9829 15674\n3876 5782\n6603 11592\n8149 16661\n5839 11971\n13282 17185\n2658 9443\n3724 4342\n3194 8899\n11074 15014\n2331 10158\n549 15678\n2240 6515\n678 9079\n2996 7784\n10634 16647\n9479 13242\n2126 17115\n11054 15349\n994 5549\n997 6231\n1454 11496\n5776 9712\n15547 15819\n6485 7635\n4853 14712\n7425 11907\n5661 17462\n11271 14434\n4377 14604\n5023 14181\n1180 16210\n9803 10700\n4019 8357\n12802 15211\n5431 17188\n3156 11760\n2243 9025\n10744 13571\n12384 12402\n8895 10678\n14560 15626\n14178 16192\n4517 4887\n8780 14409\n10737 14150\n9786 11939\n290 7306\n7032 16809\n5284 17079\n6229 15072\n1850 15455\n7998 14602\n5477 15979\n2550 10682\n6277 15056\n6240 11320\n949 6550\n3335 5448\n8506 15044\n4345 8948\n11797 13076\n865 12535\n3875 4404\n13202 13336\n4634 7675\n10013 16001\n2316 12854\n9313 16930\n2164 17078\n8705 9358\n805 2325\n10755 14949\n4138 5698\n600 14452\n14286 14364\n4281 7593\n11099 16113\n6555 10357\n1249 2389\n2544 8991\n4986 14085\n6323 12651\n4505 7500\n8074 10452\n14470 16797\n2485 8097\n858 11756\n533 2296\n846 16067\n3930 11589\n11164 16119\n1509 8669\n3550 16368\n4178 4759\n8888 15541\n14799 17325\n10772 14624\n14099 14166\n1337 6644\n9828 10075\n4903 14345\n5333 13207\n1034 6291\n10511 13190\n2405 17096\n10156 17292\n2375 16795\n9315 13765\n3067 16029\n2633 11447\n3772 7921\n5031 6135\n7567 14661\n9462 10646\n14420 16908\n403 11384\n12777 17370\n13094 14552\n8630 17070\n1693 11876\n2224 12493\n12600 13974\n11917 14250\n139 11054\n7458 16012\n3654 6431\n5459 12950\n3207 10078\n6967 10338\n3843 15917\n4568 13206\n4693 5851\n4375 15801\n8905 14863\n7123 12992\n2207 2700\n10112 14959\n3410 9121\n3424 10843\n2143 8999\n4227 9667\n4491 5634\n2986 9713\n5332 15917\n6611 17348\n4455 10937\n352 11562\n10101 17155\n6254 9997\n1832 2175\n18 969\n459 5217\n12482 16808\n8264 17163\n6041 6251\n1300 13468\n14431 14641\n13047 13280\n10381 14872\n13521 14635\n2917 7469\n11530 12038\n3065 11107\n2858 12487\n6334 16284\n15185 16098\n3868 4115\n8107 12500\n1644 13208\n1054 8263\n6194 16386\n7166 7277\n2271 10076\n193 2932\n15342 16055\n1706 12448\n376 12370\n5049 5105\n5153 10830\n4786 17350\n1380 14770\n5513 13610\n1154 13882\n6341 15296\n10389 16206\n6669 6725\n2314 8307\n6499 9999\n8808 12602\n9618 13404\n10361 11416\n5148 9562\n900 15074\n1168 8249\n3662 11126\n1982 9898\n8551 16363\n5873 8666\n10072 17317\n8028 16708\n10866 10965\n7114 9711\n13299 16445\n7593 13944\n448 10248\n9194 16772\n14572 14714\n4883 13921\n665 5780\n7382 14012\n10396 12974\n13255 15955\n10573 11484\n11181 17184\n10665 15727\n3718 16259\n7416 8894\n11488 11710\n9169 11903\n3368 16085\n6232 7080\n7112 17171\n430 14203\n11516 13275\n2551 16987\n228 9661\n7098 11022\n8854 17363\n6321 11148\n8982 9846\n516 17195\n1586 6152\n5534 14620\n2525 6851\n1434 11879\n13236 14996\n5863 9304\n2622 8938\n7826 13328\n1830 8606\n6387 11096\n4292 9095\n2247 6732\n3081 12992\n7298 10676\n13 10441\n1788 2785\n9479 16345\n5654 15971\n4660 14911\n1462 5051\n1702 8524\n2292 10167\n7767 8084\n7963 9571\n8336 16032\n3531 15105\n1379 2036\n2008 15424\n8945 10865\n5169 10205\n4598 5654\n14284 16882\n7566 9386\n2393 12574\n1796 2532\n8565 11755\n1045 13705\n3451 14977\n11099 12196\n11569 16186\n1883 3218\n496 10693\n3627 9787\n14420 17073\n8789 11355\n320 17345\n11879 14937\n5633 16680\n4655 14249\n3176 3801\n311 9940\n3713 4707\n7530 8834\n5284 10805\n5720 12635\n1278 10227\n8341 16420\n5127 9184\n10958 16748\n960 8520\n5960 7811\n1461 5400\n3924 5759\n872 15385\n14614 14831\n884 7072\n4752 11080\n11462 17281\n1375 11166\n14387 15394\n755 6213\n1304 6167\n8723 13397\n9040 11729\n6607 12954\n816 14144\n12660 13981\n9768 12734\n11922 15720\n1736 9943\n9351 15888\n5565 7406\n14457 15469\n4025 13661\n5020 9909\n12141 12254\n3481 12249\n6803 11380\n5956 11793\n3467 13654\n11071 16066\n9375 10835\n1262 14951\n5314 12632\n10581 12252\n6235 8022\n4367 16398\n425 13638\n981 12482\n9972 13174\n1989 5127\n900 8520\n4989 14480\n1891 3598\n6028 9294\n9806 17055\n4692 6333\n817 2314\n7653 17432\n2641 5736\n15210 15642\n2052 14336\n3100 7488\n1954 4621\n15033 17202\n4526 9744\n678 10936\n7672 13892\n1736 10829\n8679 14407\n16625 16822\n7036 15444\n14137 14459\n12460 16091\n16482 17313\n3333 8123\n2405 3733\n1487 15706\n14459 15733\n3201 12228\n6607 12670\n13977 15553\n11497 13559\n1946 11886\n8701 13615\n4483 16662\n8300 14315\n2002 14153\n14582 14869\n8113 12264\n2935 13311\n11350 14178\n462 8439\n6130 6860\n2275 9002\n14359 14723\n3938 13570\n1684 10080\n4598 7489\n1839 12775\n9357 14752\n1148 8662\n1955 4724\n7404 9264\n3715 5889\n11788 17102\n7765 16475\n3082 7001\n6713 17205\n4815 7205\n3495 16969\n7943 10854\n4802 14310\n8485 16964\n4917 12618\n4257 10432\n5319 14415\n3696 11892\n5726 16424\n2820 3798\n13 3225\n5997 6684\n913 16923\n3018 9486\n1366 14842\n3141 14782\n6997 13355\n883 16907\n5524 15204\n5523 16979\n6893 13003\n2887 16388\n6119 10539\n7354 7918\n3246 17249\n3365 14830\n7605 13161\n10828 12744\n2120 13363\n7664 12570\n5756 16419\n7079 13659\n2845 13847\n10138 17045\n9346 14882\n11825 15022\n6042 11696\n223 14452\n10355 12518\n2485 13013\n3086 12089\n9061 11568\n2453 2761\n3120 6103\n11203 13648\n10375 15983\n505 14644\n9676 12037\n2014 5636\n501 7850\n4174 10627\n5475 6460\n1042 11111\n7048 16808\n3670 7448\n2100 11045\n1918 11098\n1670 5888\n6390 10779\n893 12931\n7454 10970\n2304 11274\n208 17284\n4302 7715\n176 14137\n4925 6413\n2097 10429\n3194 4219\n4948 8629\n3990 6449\n1407 11397\n119 7970\n13644 17433\n8415 15840\n4942 5938\n2190 6016\n4942 12272\n1348 16026\n10975 15104\n204 6453\n15535 16048\n41 177\n15954 16557\n5618 6592\n1310 2969\n3130 8551\n7971 12364\n7514 13638\n564 2723\n12369 13619\n4362 16174\n1824 13901\n515 11521\n7990 11349\n6925 16564\n8537 16887\n3707 14324\n1081 8158\n8126 8543\n24 13195\n6006 8663\n4200 6434\n9246 12558\n3284 3486\n6078 17283\n8889 14329\n10654 13430\n7416 10379\n1213 11827\n7760 8552\n5233 5449\n11655 15715\n9042 12998\n4262 8951\n5639 8064\n4441 11932\n15501 16170\n1185 3067\n8011 9310\n10318 15324\n7181 7972\n2119 15029\n4819 9636\n4718 9447\n2638 3936\n2185 13559\n6333 9850\n665 16279\n8495 13223\n9087 17048\n8301 13524\n1560 17367\n1437 11245\n987 1852\n2281 4791\n3757 17456\n83 11330\n2699 6307\n46 7094\n13549 16063\n13814 14244\n10947 16035\n10420 14376\n4628 13764\n4459 5289\n5910 15983\n9638 15578\n4671 15503\n5519 17249\n6713 15605\n5302 16557\n9165 12742\n7837 17148\n1998 3937\n7537 9751\n11917 14632\n4151 15610\n11277 16977\n8053 8227\n1724 6033\n9529 13160\n1963 15892\n1338 8877\n3714 7695\n7545 15641\n611 16974\n818 12622\n3512 14236\n1688 9746\n4405 9791\n3075 5303\n8037 9969\n4223 10880\n1307 16370\n1338 1651\n1763 5789\n15096 17335\n7397 16583\n8851 14069\n2133 4243\n13019 16958\n12519 16375\n1017 11075\n922 10826\n6215 9100\n5949 16380\n2834 7070\n7989 15601\n7177 14088\n5406 17253\n4137 16404\n3039 10430\n8592 16886\n10085 14355\n5783 6019\n11872 12200\n4596 16375\n6695 13362\n9015 16262\n10569 12478\n1399 7157\n724 4293\n2549 8809\n1620 17270\n24 3016\n1909 13933\n4345 4909\n2835 8456\n6002 11209\n8830 13096\n3128 14666\n6243 16432\n14513 16102\n8388 14203\n6553 13510\n5136 12026\n2093 12006\n12287 13285\n4982 6938\n12706 14460\n6403 10935\n1323 10703\n691 5887\n218 10249\n1716 15531\n16327 16504\n7371 8776\n2226 12506\n3250 16045\n17379 17445\n5247 9692\n241 6652\n3920 13763\n3262 3515\n4475 14095\n9116 15051\n7913 13059\n744 10480\n8768 9673\n3544 8936\n12471 15588\n9072 9370\n11398 12264\n759 9366\n5218 7968\n16370 16900\n10909 16877\n3236 7753\n6334 12091\n3892 7426\n5045 13458\n3682 4829\n592 5162\n920 5413\n6518 13977\n13857 16739\n4067 13742\n4362 15486\n3867 15169\n128 6187\n1748 7506\n8057 12360\n1033 8018\n8478 16460\n9333 12136\n7369 17284\n7452 10336\n304 16756\n11359 12752\n9993 10055\n465 3490\n1170 13314\n1988 12849\n7765 16892\n5715 6400\n3383 4681\n7424 8499\n4013 7412\n1931 11340\n4382 14859\n7436 11819\n293 16427\n2818 6523\n6118 9300\n4229 16832\n3224 9831\n7894 11391\n496 15461\n905 15328\n12770 15890\n8425 15961\n5428 5598\n10279 14699\n3903 14656\n3837 15348\n11131 14004\n844 1645\n3563 7506\n1651 5597\n6339 15902\n6302 14713\n2034 2947\n2379 6723\n2 14377\n11630 13844\n3826 17157\n5605 6284\n769 800\n4430 14716\n1394 11982\n3112 7004\n4326 9089\n69 4192\n4744 16162\n8056 16770\n9196 15086\n4502 7698\n1851 3313\n4555 16897\n1671 5691\n10275 11066\n6922 12512\n7120 12873\n771 6756\n543 9469\n4625 15564\n8339 8949\n13783 17132\n12178 13163\n2955 13740\n1519 2451\n4971 15865\n13179 15173\n962 5684\n5870 13490\n88 13151\n5515 11875\n4797 13144\n2839 3989\n3673 13502\n5123 15635\n330 11287\n792 14875\n3142 4478\n1236 11517\n8305 10507\n9619 14417\n10547 13648\n1905 7808\n16084 16913\n1177 3332\n2640 15297\n10933 12565\n4602 6734\n16216 17292\n11091 12328\n1084 4986\n9628 14110\n3738 11058\n11210 15371\n10395 15998\n361 10802\n6348 13234\n84 13115\n483 15739\n10352 11980\n2964 6712\n4807 9542\n4278 17041\n8165 15159\n8862 15173\n12206 13384\n14694 14985\n465 13971\n16886 16976\n3029 11600\n1568 3910\n12956 17352\n2019 6935\n1560 6280\n622 8215\n6351 13084\n846 17370\n2404 6093\n1326 6207\n2713 11778\n12369 16407\n2553 4153\n273 1273\n4779 13823\n5924 14820\n4387 11513\n6629 13144\n1391 3748\n7582 9038\n6887 9154\n926 2108\n3687 16628\n6765 10640\n13667 17247\n7738 15675\n3029 6248\n844 2618\n12668 14792\n6658 7446\n10420 15070\n6165 6600\n890 16413\n315 11953\n1738 15831\n5140 6296\n9495 11222\n12065 14468\n6355 10567\n3680 16375\n3709 7677\n684 14661\n7252 13763\n4750 15261\n9200 10873\n2747 9492\n989 9414\n8849 9137\n8097 8523\n11512 15708\n5110 11496\n7081 10373\n1448 11768\n6835 9521\n6657 7701\n6689 11104\n3215 13601\n1690 3618\n4644 8405\n5924 14920\n4006 4842\n5307 11672\n1359 1385\n4286 7049\n4833 8936\n9712 12366\n3188 8460\n914 1872\n10600 14803\n6137 12047\n11986 15792\n8261 10250\n13504 15676\n6466 16585\n3662 15021\n12152 16346\n4749 16424\n831 5575\n6899 9524\n4353 11925\n8823 13702\n9033 16892\n10941 17246\n5458 10493\n1785 14431\n5788 16626\n12082 16723\n7331 12830\n10464 12819\n792 4952\n4174 16767\n512 3762\n3831 11422\n2995 7191\n8521 11991\n3434 5549\n2574 11212\n2260 14433\n7534 8981\n5703 15190\n122 9525\n7559 15092\n12945 13176\n2822 5985\n2325 14961\n4638 16729\n5842 10366\n5418 6732\n5093 9775\n2706 8750\n4775 7145\n9862 10020\n4465 6345\n11729 16556\n5049 5301\n6616 12864\n6731 9879\n2223 6750\n5304 12925\n2350 4656\n15866 16559\n15643 16103\n550 10211\n72 11704\n3253 8214\n5772 10905\n11781 17121\n654 12386\n6698 15412\n2822 4612\n4241 5999\n5979 16020\n911 1811\n9458 10786\n1932 4520\n4707 13680\n9431 16897\n7340 13262\n3377 9050\n11480 14000\n5872 9646\n3165 3236\n1581 7387\n6512 14956\n8500 10656\n11174 16884\n6561 11208\n2566 7002\n1583 12120\n8284 12509\n484 14193\n3539 3880\n7998 10845\n4809 5145\n13395 15992\n5 4499\n15234 17317\n3333 4875\n11527 13165\n9084 12800\n8279 15882\n13347 17179\n638 10951\n1670 3128\n11512 16045\n3059 3141\n6433 13872\n8768 14638\n5170 8041\n4879 7447\n8067 11010\n8101 8276\n8629 16259\n4295 5140\n8247 15821\n1626 9775\n11999 13036\n7795 13714\n12293 14018\n8271 16794\n4514 6954\n986 16228\n2286 5647\n6294 9324\n513 11539\n5648 15909\n668 4779\n6183 15338\n9712 11652\n8928 12732\n12632 14187\n5917 15415\n9229 10460\n1395 9754\n12027 13832\n12121 15727\n176 9790\n6471 16525\n11063 13789\n8029 10962\n5328 13784\n884 15715\n11805 13659\n1003 6336\n1384 12618\n14261 14389\n2571 10953\n11154 14794\n3848 11381\n4272 14851\n8318 15008\n11287 15440\n6262 16730\n12112 16741\n86 15334\n4082 11938\n7929 9755\n4624 7572\n1255 5419\n5768 15852\n1209 15632\n12698 15553\n5286 14513\n15536 16959\n13863 16581\n6746 10445\n9199 10989\n4055 16186\n4979 13701\n5131 5721\n7766 10918\n3164 11185\n9581 14293\n8305 10229\n10 12654\n1394 15209\n1744 11057\n3916 17257\n4014 14276\n1603 8230\n9360 9374\n4031 8520\n3387 14747\n5008 16915\n2550 4192\n5652 8468\n2751 2888\n5039 12992\n3333 7050\n1296 2932\n14753 15869\n2114 11844\n3256 4707\n1783 16424\n1892 7885\n6613 16170\n10257 15081\n376 10090\n7047 13463\n2672 4925\n12083 14729\n7616 13164\n867 7314\n7244 13927\n2439 3318\n780 12372\n5401 13564\n789 4937\n15132 16509\n2644 13170\n6386 9510\n4594 7129\n6014 13194\n4534 12333\n10377 13983\n14132 17287\n5332 7669\n776 11480\n2765 6373\n9831 11620\n6045 17153\n2022 9699\n3386 6855\n754 8692\n9664 15868\n7198 7330\n7884 13856\n11081 15799\n6467 11648\n2479 15327\n1779 15025\n2949 4455\n3711 11340\n906 16217\n1351 2963\n5257 15173\n9990 14675\n8078 15268\n5333 9674\n2617 6525\n3192 13052\n2484 11771\n7765 15322\n5052 16223\n5720 14755\n3103 3158\n10704 13198\n7109 10786\n10735 11295\n1948 12227\n11482 16969\n738 15122\n3993 17378\n9201 15709\n10585 16024\n17043 17175\n2499 10396\n7127 15560\n5753 15096\n1116 12533\n2134 11747\n9777 16006\n4251 17038\n3964 9119\n13059 14014\n2370 9219\n1876 15728\n2383 10081\n1455 12678\n726 12386\n1959 9445\n5586 15950\n11503 12729\n526 6849\n5609 8997\n5285 16157\n10290 11532\n8445 14825\n7078 16713\n5282 6165\n9248 14290\n492 4680\n2556 5632\n9648 13464\n1545 6891\n2079 16685\n9333 12108\n3635 4441\n1745 3559\n1213 8219\n8096 10898\n7063 13364\n16953 17303\n2800 10852\n5100 12325\n9047 10673\n769 17357\n681 5668\n3389 11931\n1248 4889\n344 3120\n5122 16824\n3368 14409\n6054 11770\n4106 5046\n936 9336\n553 4296\n6069 7153\n678 5294\n307 16535\n4626 5116\n8448 11964\n4349 16602\n743 1889\n9842 12066\n8446 11003\n11096 15977\n4940 5218\n9119 13875\n2967 8514\n3469 6891\n8387 13259\n8407 12713\n3147 5258\n8663 11028\n2952 8916\n2561 12033\n9029 10446\n4074 14799\n7596 10541\n14772 16552\n2214 5527\n927 13177\n2879 6295\n3926 10511\n110 5852\n8421 9690\n6412 12165\n4789 5644\n89 5103\n4469 9355\n5125 13393\n5837 12173\n3515 9087\n1154 12584\n4568 15894\n10057 14476\n8522 12856\n574 10511\n2757 9536\n9443 14052\n10405 12184\n3451 11328\n253 12112\n1397 8252\n707 9807\n11910 16060\n7138 14224\n1521 16996\n10987 11825\n3850 17318\n5170 14083\n5933 7412\n11446 14549\n12629 17253\n7452 15179\n5116 10661\n7963 10524\n974 1209\n2170 10711\n1753 17344\n11217 12298\n1775 8700\n13821 15530\n12763 16174\n107 138\n4854 11623\n3580 4006\n5986 15315\n15631 15769\n3246 9508\n439 14136\n1120 6817\n2067 15751\n6909 7280\n9535 11282\n187 8947\n1630 10944\n6523 8571\n1543 11086\n2256 3890\n5541 9445\n11567 14862\n2536 5531\n2919 6388\n879 2617\n11892 15207\n7319 13745\n10903 15088\n6478 6799\n2734 3306\n6059 7561\n6283 7811\n3036 8715\n66 17250\n11276 14123\n7989 13232\n4546 15779\n3222 14854\n8730 17410\n1949 4725\n1665 6314\n2064 10021\n3769 16496\n7040 8938\n1315 15699\n4764 13992\n1515 7224\n5881 7782\n3480 8441\n3654 13937\n9232 15607\n7337 12362\n6429 17360\n8546 10211\n10917 16896\n5720 12970\n7331 9008\n2759 15946\n10045 17025\n1398 2709\n6376 13833\n667 10876\n16435 17164\n3911 8477\n13582 14243\n7856 12563\n1329 3087\n7074 7192\n7017 10669\n244 10886\n2627 4308\n5284 10507\n3259 8568\n2784 14051\n1417 12429\n6735 8241\n5273 10209\n15810 16474\n12075 16533\n3954 9700\n3723 8959\n816 12553\n11824 13253\n5656 16990\n14277 17169\n4267 12828\n11173 12425\n11159 16923\n13782 15897\n6532 14524\n7662 12679\n7960 12181\n259 12562\n3725 13420\n3051 14757\n7889 9921\n5375 6735\n7237 9323\n3929 8324\n9794 10148\n1078 8034\n8866 13774\n11143 16316\n10343 12127\n2425 3450\n13809 16862\n8027 9049\n5318 6617\n972 13993\n5509 8641\n9963 10464\n1612 2560\n9556 11078\n13038 14606\n1796 10290\n5583 10721\n2126 11269\n1986 9391\n6418 14072\n2194 16737\n870 15263\n6738 7021\n15022 15998\n8574 15086\n6757 11021\n7654 14188\n1097 2800\n7030 8182\n5555 12741\n6587 9927\n6124 12304\n11465 12740\n13101 17380\n188 2303\n5293 6710\n11837 13016\n7614 13653\n1268 12569\n9616 10653\n15288 16900\n4525 5450\n4473 13710\n715 4888\n4569 6060\n9278 15948\n5115 12598\n3025 8136\n5214 7830\n2178 3827\n3440 6025\n16239 16282\n5421 17268\n1470 16821\n355 1001\n15724 16552\n282 3638\n466 12799\n4714 11939\n11190 13785\n8118 13284\n12091 15841\n5890 8010\n325 12371\n1880 11451\n3472 6825\n3091 11699\n555 3408\n4870 10603\n7685 17077\n3612 4465\n7669 12823\n10042 15456\n10371 13764\n13858 15874\n11217 16895\n330 16346\n6910 11744\n822 6222\n4768 13229\n5804 7522\n1474 17078\n3264 4947\n10345 15510\n1046 1591\n7313 12069\n1697 10162\n1003 7336\n12287 15297\n3446 9723\n9834 13312\n927 13027\n10208 13079\n11896 12844\n3141 13726\n4823 12918\n1828 7316\n3223 13205\n1026 14087\n1953 10480\n2625 6094\n827 9922\n9492 12336\n2399 7534\n9079 16687\n9330 9550\n7314 15492\n6640 11669\n5487 8466\n1350 3883\n12803 14727\n5369 12221\n12271 17248\n710 9343\n5575 13100\n3944 9194\n572 13915\n7558 14530\n998 8866\n6390 7975\n8496 17214\n1868 8676\n12003 17099\n792 11479\n1008 4403\n13090 13828\n4956 5430\n3847 14881\n2796 15794\n3159 7806\n3860 16142\n2030 5303\n888 15883\n13493 15453\n7865 8474\n11690 16902\n4857 8419\n5604 7203\n1890 13834\n3558 13113\n2599 12849\n5488 7371\n1223 15127\n3765 4409\n2412 9309\n3331 14845\n1014 13703\n4570 7193\n8822 9910\n634 8125\n1505 17015\n10425 12872\n633 4256\n1080 12156\n7084 15705\n2124 8150\n7559 15039\n6798 6973\n1873 8947\n5650 15354\n6814 8887\n1628 3844\n3291 16237\n1331 14890\n6122 17448\n6276 15522\n15380 15889\n2218 5736\n13439 15108\n5305 6591\n9229 11440\n9118 13704\n1038 13617\n3544 7786\n14325 16481\n4850 11744\n2540 11103\n3068 6506\n5333 17431\n4569 15169\n3040 9305\n10029 10740\n15593 16390\n11091 14973\n4306 8868\n11778 12118\n5625 6271\n11706 15566\n4211 16805\n3926 15871\n3219 4432\n11991 12365\n5235 7857\n5257 11770\n5071 11329\n1397 8538\n11708 13077\n3323 15241\n1197 11464\n5274 10192\n13552 14359\n8394 13255\n11366 13023\n7272 7833\n827 6952\n3928 6056\n3858 15408\n195 2558\n11644 11698\n6135 14611\n11848 16831\n10392 12470\n152 5784\n14493 16548\n1297 7034\n9985 13733\n5464 10547\n3050 6281\n4776 14866\n9622 10550\n1849 11883\n202 17142\n8894 15162\n398 13822\n962 5038\n2439 3787\n6442 9436\n6171 6831\n2005 4395\n3208 4976\n13335 15014\n11990 17036\n9339 14364\n4380 13401\n9194 17012\n5149 14652\n1788 14332\n3852 7244\n9431 15945\n717 4347\n5247 14132\n8757 14883\n7015 8953\n1270 7326\n434 4188\n10420 11672\n7085 16464\n13510 16187\n1229 15133\n9914 13003\n4875 15918\n6874 11575\n4807 5790\n6028 14660\n1781 2867\n2530 11167\n6122 14428\n3227 15013\n6705 16614\n1048 13974\n2478 12338\n6850 10616\n8335 14099\n5237 8675\n3341 17458\n4704 9200\n2968 14740\n3583 15926\n7381 12538\n3166 3462\n9570 14026\n13232 16890\n3247 8412\n7863 16242\n10130 14251\n2339 3682\n5473 8734\n6565 7393\n9233 15783\n4836 13199\n6769 16612\n2581 5297\n8443 15860\n7488 8484\n10611 12027\n1814 11842\n4763 14138\n1841 2188\n9979 16843\n1109 1173\n1966 7075\n7163 16620\n11848 15108\n1151 4884\n11936 12660\n6370 12329\n1427 11244\n9417 9689\n3157 5918\n5282 12231\n4629 8128\n1608 17049\n7721 12871\n2055 4854\n7941 9932\n2119 13783\n2605 16943\n8571 14927\n7568 8520\n569 12558\n2412 15795\n483 16105\n5571 14773\n1277 12887\n80 10855\n10023 16836\n10231 10914\n10964 14111\n4077 8896\n2203 3067\n2329 10032\n463 14522\n3089 7765\n6559 17051\n1645 9133\n13642 16830\n9263 16072\n6150 12036\n13410 16686\n3339 5762\n3214 9532\n6992 15553\n578 2533\n11091 14199\n14198 16189\n14951 16940\n15223 16055\n15720 16540\n217 4264\n10191 10364\n756 12310\n2367 16884\n13432 14812\n8902 14751\n6193 8518\n8260 12664\n1879 16862\n5396 15073\n9190 13663\n5227 7160\n6354 6594\n1843 11058\n12361 14718\n920 4226\n896 7667\n3442 15646\n6408 6550\n10021 13101\n5683 12306\n529 3138\n5818 12711\n6266 7580\n10131 17314\n1339 2194\n9928 11835\n1074 6606\n13091 17265\n10338 15766\n4184 4666\n2357 2989\n7313 7575\n500 1678\n547 2521\n4489 12340\n2934 12831\n3289 9482\n5376 15768\n5580 14215\n3105 4964\n7595 12897\n11436 16392\n4432 9799\n7921 13554\n4251 7199\n4969 15206\n9644 16660\n1943 5189\n8488 16855\n7524 11204\n12847 14289\n1321 12793\n16068 17049\n123 2279\n1125 10489\n5088 16831\n7022 13762\n5110 13734\n1827 10598\n3871 12837\n2822 3705\n3414 9200\n124 15672\n888 14926\n1745 17073\n8508 15073\n432 2957\n8989 12764\n2864 15376\n3367 5625\n3809 10157\n5386 11580\n1032 9430\n344 16446\n9620 13410\n6193 10371\n10128 17330\n10470 12056\n7837 11717\n15720 16275\n2473 10965\n9101 10682\n4192 16829\n11055 12345\n261 17137\n4498 17258\n540 10974\n11558 16444\n8094 15064\n1386 17303\n10808 13317\n5307 15321\n7855 9627\n7108 11459\n2259 11792\n13389 14152\n7760 17296\n1719 9569\n12597 13635\n1783 10392\n7084 14765\n6366 9968\n2878 6105\n2302 9605\n9153 13603\n485 10882\n2344 15654\n5746 9131\n4634 9775\n981 4098\n1868 15737\n5048 15439\n11628 16032\n2422 4647\n6135 15967\n9324 16401\n14983 15564\n2111 11539\n12687 17168\n10597 11940\n13168 14957\n5161 12871\n1568 5728\n8348 14358\n6173 9544\n10151 15235\n5717 14939\n4700 12735\n10807 15027\n1951 9873\n4707 12531\n3025 16146\n7785 9069\n6276 7560\n4467 12041\n6222 12505\n5047 17117\n12575 17282\n16408 17460\n12304 15575\n53 4440\n5345 12623\n2721 4115\n9915 12023\n8576 11635\n6412 16675\n10421 13732\n363 12761\n2870 16186\n1485 6396\n7401 14790\n6626 16254\n5612 10547\n15444 15966\n12937 17334\n2709 4344\n2964 8252\n2332 3837\n1009 10533\n8697 12307\n197 1181\n16472 16634\n15088 15398\n12021 15252\n10797 17071\n12190 16074\n6460 13141\n5079 5951\n472 6297\n3495 10306\n6617 15252\n14982 15500\n73 14122\n657 12030\n3927 11415\n9470 10381\n970 14502\n747 6452\n6154 15794\n3749 14953\n5142 15864\n1100 6444\n5145 15623\n10212 14228\n15398 15952\n12387 14121\n10757 13029\n7429 9525\n6159 10885\n405 14892\n12878 13116\n1410 13446\n10907 15663\n3258 5594\n4502 10367\n1484 2687\n559 11325\n15215 17109\n12058 14654\n4299 12107\n252 642\n4888 15496\n14122 16270\n4768 6482\n9767 11544\n3290 11507\n5885 10291\n9501 10090\n4103 4472\n1277 7479\n8984 10812\n2893 14948\n3069 6617\n512 11261\n1042 9419\n11929 13763\n4617 8884\n1565 12606\n1888 11919\n9307 13178\n6901 15072\n5459 10232\n2671 12041\n3299 14581\n2694 7787\n11132 16743\n7219 12070\n5884 16808\n10721 12636\n5795 14373\n10230 13786\n6529 14689\n8636 11994\n14120 15493\n3707 10837\n11943 15112\n2600 3404\n5904 16921\n5932 11863\n3804 6696\n4420 8243\n5019 12125\n8171 9614\n7173 7397\n6175 14901\n576 8404\n4899 6305\n6805 15227\n11880 13117\n10612 11186\n12353 12604\n2435 3523\n6380 11883\n11247 14231\n151 4935\n4156 6899\n4485 14025\n5124 17312\n7663 14074\n16039 16746\n5861 10911\n6342 8484\n3255 11101\n14765 16129\n5321 14928\n472 7721\n3117 11263\n6587 12599\n8050 8261\n157 719\n11255 14898\n7001 10763\n6691 10450\n7631 13171\n2464 15176\n2068 12728\n9595 11483\n11809 17203\n8469 13411\n3466 14012\n1754 14987\n1532 12014\n10345 16757\n2483 12428\n2824 13706\n865 14073\n14820 17065\n8404 11518\n1465 8576\n2753 8564\n13183 14527\n5789 7282\n8596 15476\n12882 15366\n10271 10984\n9960 12382\n5329 12521\n3096 9367\n4551 4862\n12189 16995\n2338 11372\n6302 12843\n8144 15787\n3970 6325\n5021 8315\n2279 3294\n7341 12998\n2436 13755\n1567 16627\n3243 8035\n3969 17446\n6425 11743\n2118 11375\n15599 17254\n8763 8895\n7491 11821\n9948 12821\n11591 12857\n14719 16041\n358 16081\n336 13605\n11711 14766\n5750 13814\n6486 17345\n9817 17385\n195 9557\n1040 11420\n5246 12862\n1795 3219\n11932 14697\n2087 15734\n6926 10060\n8544 16073\n3701 5588\n4125 12762\n2392 17050\n8716 14350\n10844 11977\n1491 9143\n6580 11664\n6793 8834\n9301 17442\n850 3394\n4591 9909\n3580 17111\n7133 16541\n1911 17070\n3585 9663\n9520 14354\n6005 9586\n3916 16786\n7023 12136\n8534 12023\n2541 4172\n3370 9744\n1618 16604\n5777 14457\n11502 16551\n140 3588\n2491 16293\n3281 11348\n9489 11898\n1725 11077\n6975 10001\n9385 13044\n4836 15403\n2237 8601\n2769 3815\n2131 12835\n3702 13969\n6831 7431\n2474 11919\n9594 12518\n2810 16998\n1880 13028\n7970 16712\n14334 15762\n9302 16793\n12090 17177\n6002 13835\n9809 13506\n8902 13608\n5319 6600\n8657 14411\n5286 8382\n302 3081\n919 15370\n9073 13641\n9085 11891\n1049 4993\n4587 11910\n5529 7155\n7108 13124\n5269 12588\n5274 9946\n548 1605\n9305 14657\n1171 3750\n9602 10938\n172 3961\n11842 13381\n616 12912\n3960 5463\n5928 8741\n1136 5537\n6301 14565\n4602 15629\n2901 8840\n849 16351\n6839 9259\n12537 15060\n203 1885\n3207 7779\n3804 16669\n10199 16084\n1767 6794\n5902 16473\n1194 4585\n2438 16500\n3285 4401\n11431 13306\n15143 15446\n11581 14440\n5728 16796\n736 11218\n2787 17221\n1888 5674\n1854 2307\n4944 7703\n4512 9510\n10093 12859\n10772 12306\n1041 4683\n2961 11825\n3626 5580\n390 7593\n8587 16435\n6499 8012\n3315 17462\n3699 15182\n2461 15135\n10718 16677\n5156 13286\n6670 16079\n818 8348\n5748 10419\n10806 15710\n11711 17365\n7095 8513\n11367 12237\n6118 14260\n3692 3912\n78 1143\n6559 10132\n1356 16920\n4968 8570\n12794 15037\n877 8752\n5126 8174\n5760 14378\n6958 17183\n12614 13887\n7927 9793\n5042 8718\n7 3402\n852 4507\n6909 10331\n2528 10010\n12775 14918\n7698 9829\n2362 15108\n11156 13435\n13963 15816\n2434 9666\n13628 15751\n7981 15416\n479 16075\n5357 16293\n10571 11882\n1677 13430\n4347 8396\n8443 15764\n10582 11468\n10985 12424\n5465 11052\n2208 3858\n2205 14705\n5504 17188\n7891 13466\n2708 14938\n6378 14856\n2016 15470\n8486 12701\n3349 16740\n6578 16804\n906 7385\n1868 9225\n6024 6740\n1778 6969\n11325 17044\n1052 1597\n871 14034\n6603 9318\n1649 12102\n185 17031\n4067 6741\n2683 7683\n1601 1907\n5046 10180\n9388 9475\n8990 10720\n8236 8314\n1846 10743\n295 9222\n1980 9451\n3665 9050\n7151 14163\n5414 10831\n6008 16555\n2175 10963\n342 7798\n4306 14740\n3901 15381\n4174 15407\n12825 15970\n3602 3904\n4287 7637\n1877 2621\n5727 15668\n1269 2552\n3190 12204\n4825 11101\n7218 8539\n697 4721\n2877 10347\n9253 11877\n2067 13222\n7120 9809\n1383 4573\n5967 6879\n4795 13566\n8818 13577\n5856 14786\n5756 7267\n902 14709\n884 7449\n829 7904\n118 15348\n2905 17264\n13038 14028\n4218 12194\n6342 9856\n2416 9083\n8372 8675\n5696 8139\n13210 13867\n6244 14823\n5830 7495\n5264 17068\n2226 5082\n14336 16340\n5439 14643\n6883 8301\n6293 7288\n6729 14047\n2504 5986\n1023 15805\n5333 16356\n7610 10868\n11128 11153\n2453 13290\n161 6881\n3666 7318\n248 3525\n4899 12807\n5999 6185\n6365 10173\n2116 10522\n2524 15627\n3584 7436\n5032 16474\n9114 11568\n133 15333\n3910 15780\n8930 10175\n9231 12201\n1242 11723\n9505 9570\n5503 8162\n3434 7970\n2162 3140\n9018 9979\n5223 15562\n6006 16898\n3153 16048\n4136 5668\n327 11615\n4029 16835\n3956 5535\n661 15775\n6120 8171\n8316 9910\n3662 7033\n3163 3199\n14485 15782\n1697 9229\n8003 10834\n5627 13717\n5096 8902\n369 7754\n11180 13897\n7000 13043\n16135 16407\n2068 6267\n8425 16185\n8410 15809\n9566 13394\n3140 8852\n8175 8652\n6142 6364\n10163 15796\n4945 8613\n5245 9761\n14213 15824\n2001 7161\n9531 9577\n5952 8502\n12217 17384\n1543 10851\n8814 16828\n6258 7553\n1619 14777\n14696 17094\n6450 15161\n7812 9928\n2661 4620\n4808 10022\n3088 17321\n627 13442\n5088 16659\n1499 12986\n3047 10737\n2342 11129\n14652 14981\n397 8061\n1692 2580\n2498 14686\n7077 10296\n14318 15939\n5341 8258\n8894 17108\n574 15817\n1605 3710\n5203 15989\n8452 14770\n5284 15019\n3970 4612\n8192 17198\n725 9570\n3538 11407\n6671 6987\n2545 8921\n1838 8103\n5782 14323\n13023 16680\n7686 17224\n2465 15243\n7203 8194\n71 3690\n11574 16701\n10225 15135\n13697 16835\n3070 3913\n7094 11256\n9028 11179\n10079 16244\n11054 11969\n7596 10590\n1147 14116\n2002 11940\n616 17406\n1832 13464\n15921 16068\n13374 15806\n114 14431\n597 7150\n5820 12964\n3979 4985\n6839 11851\n5491 16974\n4447 10861\n9725 9791\n1933 2836\n10080 11943\n5414 16965\n6743 9651\n3544 10653\n5020 12896\n8453 10683\n5647 13876\n5454 15923\n12906 15744\n5919 16485\n5129 15745\n6485 14743\n18 17202\n4657 6377\n1027 3985\n606 12202\n877 15825\n6626 6950\n2693 16343\n7823 16647\n6196 11321\n15285 17415\n8293 17216\n743 10884\n5653 13570\n8928 10524\n6729 16298\n5470 16017\n2405 9063\n7861 12521\n4431 14675\n9601 10071\n5722 15226\n7630 9439\n11700 12061\n8341 8350\n380 8290\n1037 8719\n3076 13139\n8530 9532\n1107 3804\n11680 11969\n5947 16253\n7270 16526\n7968 17258\n7121 12973\n8263 16453\n9261 15859\n682 4555\n657 13537\n484 616\n2411 10312\n7268 10820\n1083 13661\n8794 9242\n3459 11171\n1628 15867\n371 15899\n7126 8103\n9218 13766\n6313 14024\n10625 16851\n11080 13025\n3733 9729\n3326 6712\n14932 15245\n6715 12735\n7303 8744\n12592 15711\n13898 17362\n11577 16684\n928 4141\n12506 15757\n15152 16122\n70 5355\n6135 13533\n4317 15361\n1550 6730\n11369 16957\n5745 13073\n11671 16832\n518 11026\n5160 14693\n7717 12753\n4868 5727\n13727 16938\n11601 12953\n4707 6700\n3605 7511\n11280 13872\n9085 9497\n16339 16961\n4342 8873\n6262 14051\n1906 12205\n9896 16344\n785 1129\n4241 13037\n5905 15207\n7175 12146\n4091 15112\n4462 6723\n3875 17211\n6265 8927\n556 5305\n12214 16496\n5764 11691\n13837 13996\n3186 10101\n749 17072\n115 3154\n8306 14985\n1930 3910\n9560 16613\n4728 15585\n5789 16724\n783 11392\n2683 9655\n1525 8588\n4114 15091\n8496 10566\n12539 14122\n775 9257\n3356 9261\n5866 14137\n7010 7920\n2667 15797\n15952 16477\n4054 8765\n7016 10935\n6967 10838\n7322 8987\n1552 5636\n8745 15713\n14321 15321\n4510 14994\n9304 16601\n5339 15455\n2752 13617\n6269 13774\n7701 12275\n4497 10910\n7446 16726\n4148 8894\n11651 14529\n10095 15379\n62 16812\n6368 10901\n7583 12913\n306 16905\n10993 17041\n13746 13937\n4831 11618\n9556 9885\n3957 11865\n12767 17074\n797 5136\n989 7099\n2061 2635\n9125 17063\n3509 7879\n8258 13733\n8533 12276\n1691 4953\n3375 4885\n16123 16279\n3261 8363\n1810 13871\n3098 12620\n3897 9059\n7596 8109\n3448 16672\n2697 8547\n3188 11860\n6466 10446\n1320 12388\n2347 11690\n16365 17162\n3149 6978\n566 10906\n2348 13359\n12763 15297\n10642 14561\n5086 12471\n9695 14892\n3731 15127\n10857 16722\n10222 15010\n2814 5443\n11403 12597\n1061 3579\n1373 8112\n776 11611\n14142 15413\n14177 16654\n4003 4258\n5124 7969\n4719 11100\n1780 3711\n675 11526\n6182 15343\n4193 16318\n8310 13138\n6752 10852\n10189 10494\n1957 10530\n3651 3940\n8654 9760\n6961 14530\n449 14326\n3851 6376\n8926 11702\n2004 3235\n15140 15392\n11456 12301\n4797 5761\n2836 13905\n6347 6885\n871 7768\n5976 13178\n14097 14625\n9814 13777\n6601 16029\n2027 5779\n12034 16437\n9275 16434\n314 567\n10453 15698\n1987 6150\n8120 13164\n11284 14210\n9038 14697\n308 10984\n9642 11884\n5295 16638\n8707 13636\n12627 14882\n3354 12757\n6110 14907\n3434 7252\n4496 16016\n2386 8083\n10886 11606\n14775 16408\n699 16040\n107 9397\n1387 12688\n5164 5430\n3378 11491\n9178 15301\n10759 15415\n7386 15717\n7389 14165\n4320 7927\n12543 14497\n639 2890\n3320 11473\n810 15020\n4540 13673\n14780 16822\n2638 5919\n10433 16768\n7232 16349\n6990 14058\n2397 7791\n6294 10488\n14211 16361\n1804 16702\n7972 14022\n12340 16697\n2385 9297\n13208 14304\n8151 14045\n10221 15961\n5777 11940\n14341 16734\n2155 3745\n10219 12484\n276 5653\n8311 16196\n616 10510\n4008 10731\n10017 12142\n6005 8317\n5350 14619\n11892 12449\n10845 12479\n251 13376\n3772 16924\n7417 10707\n377 10001\n2891 15142\n11174 13768\n10215 12512\n6985 12081\n13357 16208\n1212 9184\n7778 12423\n6137 17325\n3819 12751\n9506 14432\n9371 12491\n5037 11669\n3472 16604\n2279 8405\n6026 16225\n6933 14214\n4573 4977\n1141 15536\n10714 16792\n11940 16625\n1730 12401\n7671 13408\n2040 3410\n1606 16360\n7220 10777\n4979 16768\n5646 9392\n5930 9862\n2084 8715\n10859 16114\n5432 6040\n447 5054\n5149 5391\n12368 16973\n529 7586\n1152 1634\n1705 4612\n1698 8947\n4091 11592\n7212 16793\n7780 13666\n10591 13155\n7773 11939\n1616 9730\n1597 3035\n210 3683\n3621 5227\n5486 9002\n1154 13551\n8369 17238\n11741 11983\n2904 16939\n13321 16902\n11632 17433\n5119 15337\n4307 8807\n3702 16034\n3028 13265\n2981 5696\n9842 11855\n4717 13066\n9086 10974\n1714 10209\n3908 13328\n2074 10815\n9399 11576\n1404 4011\n2669 6568\n1572 14067\n10989 16989\n2923 10410\n387 801\n5063 15183\n6710 8151\n5057 12157\n1553 4924\n6043 16325\n1847 12836\n2039 14185\n1554 2763\n6964 15049\n3766 15449\n2834 13980\n558 1727\n4648 4921\n5154 5529\n413 12189\n5104 15046\n6991 8397\n9926 14353\n3193 13904\n11654 13807\n14777 17206\n2145 3241\n8861 13293\n12156 14762\n9968 12952\n9095 10750\n525 15699\n15016 17321\n4153 15112\n2632 11412\n4738 15683\n11171 13477\n4051 9250\n8918 12327\n7223 8742\n1546 13257\n4670 11120\n7423 12609\n4105 6541\n8462 13974\n6188 8789\n4701 14995\n10108 13087\n4180 13272\n4064 9504\n5541 6165\n5930 9297\n429 564\n5667 15122\n4679 7801\n405 6396\n6898 14913\n797 9289\n1377 10560\n2188 5592\n8389 9965\n5335 16286\n4080 17237\n4476 4961\n13532 17152\n12069 12680\n9361 16353\n5350 13370\n6126 12612\n2769 5122\n4153 6089\n1941 2889\n5062 7933\n37 10507\n6916 12229\n8294 15925\n6277 9336\n688 2564\n7916 9616\n8583 13859\n7071 8768\n5009 13940\n10792 11641\n1166 3757\n7531 12960\n8660 14455\n13152 17235\n7470 8323\n795 3509\n8382 9956\n4686 16941\n4767 4841\n9922 15406\n2307 15391\n10929 15681\n4674 9099\n8252 14335\n2427 10578\n1492 4081\n7193 8343\n6142 14059\n3424 17318\n3829 11736\n4186 8395\n2135 16546\n1889 11139\n3558 8705\n4437 11943\n2730 16724\n1761 14175\n1561 3355\n12016 16163\n7148 8781\n1576 6563\n2517 15239\n15689 17002\n9221 11876\n6258 14941\n7039 11142\n8182 16957\n5602 11170\n2807 12821\n1974 14943\n4573 6445\n5073 10580\n5879 17319\n4014 10375\n1503 12479\n1577 7589\n2117 4380\n235 7699\n4924 10339\n3113 8313\n6068 16725\n10907 10932\n1232 8276\n7476 11274\n8192 16623\n231 15703\n4011 17143\n2893 11123\n10243 16416\n7150 11490\n10562 17267\n6321 12383\n4609 8895\n7050 14239\n14773 17454\n240 5819\n10166 11576\n7199 9076\n973 2220\n11556 11612\n8268 16705\n611 11391\n985 5812\n949 3581\n1695 11844\n9041 14662\n12320 12610\n3189 4315\n2669 13178\n1445 10036\n11982 13789\n1171 5707\n9476 14637\n3819 8224\n1322 8605\n2924 6044\n13977 15269\n6600 15704\n657 14535\n9851 13659\n7907 15523\n8755 11799\n12089 12904\n2653 3450\n4724 5446\n1451 8229\n5968 6966\n10096 14716\n14194 15743\n14663 16947\n7380 12504\n931 10973\n1031 12561\n8437 8938\n8641 14502\n582 11330\n10842 11842\n580 9567\n1830 4247\n3820 10385\n9482 11532\n10316 12401\n6705 11342\n2462 17453\n2462 5540\n8452 15563\n15091 16441\n6975 10912\n11444 14845\n2901 6456\n11690 12412\n309 8899\n6903 16098\n2717 4093\n5253 9208\n2724 14190\n2635 4065\n509 3963\n10922 12525\n5847 15767\n5350 13145\n3149 11132\n7633 16879\n8404 15001\n3410 13979\n3326 5160\n776 2755\n7155 14515\n3001 9256\n4447 16259\n8767 16534\n2627 7642\n2549 14607\n2528 16174\n6299 15364\n8985 16229\n8353 16555\n8698 17152\n813 5333\n2941 12533\n584 4287\n1461 15598\n13404 15843\n3630 5943\n10906 16370\n5897 14078\n2541 16616\n13097 16184\n3259 5183\n10520 13588\n1036 8208\n11275 13575\n9255 13941\n7501 10377\n1908 16724\n8937 12719\n5684 6669\n9847 10206\n10483 15417\n2702 14259\n8689 12396\n5202 14568\n4868 5416\n6471 15774\n3784 17027\n10541 11356\n3279 6859\n15131 15995\n2321 15633\n6089 7984\n3045 8207\n802 10894\n3437 3605\n3384 6430\n833 16157\n14392 16400\n4329 4467\n4920 10676\n4850 5449\n4504 17365\n4693 17433\n4865 12020\n1242 4854\n8214 14360\n334 1940\n2985 5844\n5970 12571\n14 14655\n7527 11328\n10480 16371\n924 15313\n1793 8024\n2830 5968\n4569 13007\n2180 7213\n6895 11725\n5886 7273\n12838 13525\n1621 6864\n4392 17049\n973 11036\n13765 14730\n2189 17030\n2352 14095\n614 3717\n3681 13524\n5433 14436\n2915 12094\n671 7162\n6002 6756\n7117 12909\n15298 17188\n6328 9006\n6544 7377\n7976 14524\n2615 9240\n930 8808\n14380 16694\n11752 14686\n4837 8833\n7548 16304\n4166 12256\n7816 16891\n4359 16583\n5136 8446\n4471 13489\n4811 10558\n13654 13655\n5578 6142\n12029 16348\n5501 10135\n13362 15319\n16963 17193\n2990 5935\n5710 6354\n13644 15481\n10550 13942\n7360 11068\n2012 5771\n1066 1952\n12443 12482\n9966 16654\n1120 3886\n1584 3098\n2349 2990\n5286 6240\n1149 3073\n8092 10549\n333 17239\n14567 15191\n11041 15132\n2752 10719\n3797 11071\n95 6656\n10577 12124\n3694 4862\n12055 16291\n13864 15476\n10131 17327\n5839 15798\n4488 12092\n7890 13813\n6381 16790\n4664 5707\n14089 15184\n7541 8378\n1477 4865\n3646 7341\n4952 16358\n737 12359\n3934 11666\n2429 2554\n626 6506\n5223 14588\n677 14479\n1045 6789\n9788 13959\n5221 10492\n1815 3362\n4487 16297\n6223 15073\n2281 2372\n1886 6945\n4096 5728\n12542 14296\n1244 9620\n3122 13929\n10402 16551\n4817 15642\n609 3957\n12683 14097\n2346 5904\n9470 10134\n1501 11543\n1533 16171\n1144 6378\n1666 2371\n99 14656\n1341 1774\n5972 15703\n12316 14912\n1172 5679\n2367 7079\n9022 10269\n5168 9167\n86 7606\n12908 14301\n4728 9257\n10428 10847\n9915 15828\n14629 16982\n1610 13297\n2515 14491\n5526 13511\n13811 15000\n9643 17185\n5098 8020\n6544 9006\n7211 8402\n5302 11111\n1837 7893\n7794 8940\n4661 7714\n9967 17390\n8427 15102\n10649 16306\n254 16875\n1287 16361\n7280 10383\n9147 16301\n11675 12590\n1925 16919\n12520 15525\n1241 14419\n15068 17457\n2064 6419\n7082 10725\n7936 13929\n12971 13598\n7093 8017\n11691 14703\n5928 8359\n2865 9082\n1663 10313\n1898 17260\n972 10995\n229 10037\n2353 13940\n6346 15342\n3949 15043\n3888 5657\n151 12413\n1926 12566\n7133 16500\n13465 14137\n13679 15310\n8119 9450\n12011 14099\n6376 15612\n1071 12039\n1688 16144\n4443 8117\n5779 5900\n4308 5655\n943 4041\n1050 2257\n8461 9126\n10980 15952\n5624 7420\n1159 15333\n715 10007\n11936 12638\n281 11017\n1080 10718\n773 4675\n9100 12140\n13612 14461\n1611 11437\n5733 10340\n5317 12047\n9036 14876\n1365 9657\n5580 7679\n5674 7240\n4673 15951\n7862 14522\n3559 7038\n2879 10162\n1003 14419\n6033 11251\n13683 15212\n1589 15421\n638 17177\n8437 11858\n11603 16091\n244 13727\n5551 11459\n6551 12485\n6103 9232\n487 9576\n7458 12516\n2236 3603\n1544 14272\n6042 7077\n6324 17014\n1352 11369\n8809 17089\n3994 15520\n6730 8309\n6529 14999\n9133 10832\n11814 15339\n11615 15129\n8416 11807\n568 5283\n5569 11582\n10830 17351\n10885 12005\n1303 2821\n3239 12732\n5977 13620\n1076 17358\n5366 16504\n4086 6182\n3712 13707\n5387 13084\n3443 13099\n7752 8815\n6233 7506\n9310 17078\n8787 14587\n5091 5406\n12781 15135\n13024 15995\n5006 5985\n489 3600\n3449 12459\n9159 12775\n5688 12275\n4269 6313\n11214 17375\n9279 17264\n12139 14950\n8755 14727\n6081 9170\n12177 15203\n4398 7120\n6312 14679\n11303 17034\n267 5159\n8863 9065\n552 15143\n12149 15609\n3996 14761\n4645 15890\n166 3190\n3831 13392\n15523 16530\n348 10574\n5479 9467\n7254 8466\n1693 8027\n14318 16835\n9003 13031\n4250 10391\n4052 14513\n2562 14061\n9905 13124\n11493 14306\n7588 10050\n7555 9669\n14210 14937\n3355 5775\n369 17075\n1050 12255\n4232 16070\n1204 7918\n159 9539\n5840 14437\n3518 6148\n2204 15937\n6494 7121\n3196 12765\n8122 12739\n3145 7585\n3586 13977\n7134 14470\n8788 12016\n12486 13412\n3539 6345\n8798 11065\n1754 12383\n10838 14345\n4253 4625\n1602 8725\n10156 13052\n13192 14028\n10687 13020\n2270 14515\n6329 16284\n6473 11304\n6830 14695\n6446 11434\n7994 14818\n6647 7582\n192 6461\n8007 14154\n8774 10914\n15889 16043\n1945 6337\n4806 13993\n3277 4358\n1858 14446\n6300 7798\n1096 3458\n483 8546\n10978 13435\n4819 5623\n719 5048\n9422 10619\n1205 8790\n4408 12447\n3794 15726\n308 14986\n10493 15704\n3130 9116\n8164 13886\n8691 9310\n2084 13553\n6061 11177\n2450 7159\n7177 12726\n12036 14184\n7946 16843\n551 11630\n9608 13609\n1852 11476\n2852 5608\n7960 10467\n4759 17121\n4599 6882\n1562 14390\n8347 12774\n7903 11148\n10657 11796\n12141 14551\n5731 9635\n9764 10056\n237 14403\n754 3180\n6969 13448\n334 17267\n1418 11872\n5386 9924\n974 17323\n5123 9901\n4030 16488\n3050 7159\n3261 4965\n3552 11610\n977 16768\n7663 10816\n6941 7270\n4901 13932\n813 990\n2314 5145\n3473 14401\n6455 15094\n5524 13748\n2872 5986\n3130 15916\n601 12312\n10018 13637\n9780 9973\n3107 15012\n9399 11628\n1007 15150\n3509 7606\n2167 9442\n5169 7490\n7611 16198\n7281 17248\n2539 8502\n4825 9687\n1114 6768\n11404 11563\n8618 17097\n8634 10044\n589 13740\n14797 15792\n3246 12190\n7689 11112\n39 12423\n1339 16184\n5816 8519\n3138 5743\n6360 13279\n9282 10512\n3317 11471\n5625 17203\n968 15565\n136 3276\n6351 11073\n2963 10038\n1993 2131\n2157 9852\n8560 10360\n7818 12089\n841 6442\n9082 13466\n4196 12852\n15782 16107\n4639 10438\n16123 16581\n8461 16090\n6412 8176\n1028 1555\n13520 15721\n2070 13182\n8226 17325\n1703 9130\n3849 9031\n3166 7956\n4552 16970\n6320 10223\n3983 7570\n7699 10856\n496 7167\n11884 15465\n173 822\n10420 16209\n3729 13496\n7547 16705\n1515 8005\n3980 5648\n15979 16454\n9771 13978\n13072 16399\n1829 2251\n1092 10067\n8107 8505\n15889 17295\n2666 7121\n1546 5355\n3401 7483\n1950 6548\n548 5766\n424 1638\n3228 13451\n3094 5339\n684 15130\n973 11428\n4630 6169\n2500 9373\n1753 7494\n6950 9682\n4765 12256\n800 996\n1297 16676\n8185 12305\n318 16993\n15028 15345\n4 7261\n5751 17153\n299 5281\n2275 8603\n9459 12357\n8761 12851\n7051 14240\n7061 9118\n1554 5811\n257 14294\n1771 2301\n2587 17460\n5739 15972\n5478 12335\n11504 15923\n2651 15875\n1587 10652\n6588 11492\n822 4910\n460 13784\n18 14086\n2854 17417\n11130 15618\n7131 14063\n7400 11225\n7850 16471\n852 6149\n9035 14638\n9701 10309\n8820 14952\n630 1013\n11450 16636\n5921 9584\n2195 11378\n4007 5849\n3036 9291\n2988 10244\n4709 5798\n4760 14178\n11286 16989\n10804 14565\n1432 13969\n4235 10443\n8100 8365\n3017 4397\n10221 10676\n1286 5635\n11274 11637\n2621 7957\n12722 14671\n12546 13944\n7641 17349\n10467 16488\n2197 3680\n15156 15894\n15991 17261\n1647 6158\n1686 14118\n103 4312\n2714 6086\n5276 16344\n2843 10423\n6803 11874\n2180 8085\n3673 7715\n3095 13424\n5204 11613\n1970 16394\n4333 16531\n5391 9825\n3066 10097\n3592 15989\n1805 8314\n2504 7792\n4609 7207\n8995 15418\n12197 16929\n3035 7476\n1418 7580\n7910 17449\n9512 11105\n3820 15506\n2863 10725\n9526 11529\n2228 17196\n5737 8865\n12388 13118\n4364 9035\n12421 15916\n1777 14479\n916 4034\n7703 12979\n2912 8697\n7829 8385\n5398 14332\n754 13888\n3404 6106\n1428 13987\n8399 9894\n9899 15392\n1318 6939\n1020 1898\n4891 10476\n7278 14107\n2041 2724\n392 807\n9171 14929\n11013 14896\n4848 5767\n15878 15940\n7021 15803\n7434 14212\n7127 11306\n2788 9930\n6169 7350\n7126 14400\n2228 14997\n2198 16980\n3619 7407\n7642 16946\n12576 12648\n2710 11271\n3699 7463\n6339 11210\n3704 14617\n15138 16775\n12365 15535\n1678 12643\n5588 5593\n12028 17417\n13276 16064\n6718 8094\n3731 8794\n3297 8071\n11719 15115\n2723 3754\n1428 14670\n5764 11342\n1341 7881\n1713 7626\n6132 11409\n1200 8764\n5318 15895\n2450 3975\n8270 10314\n2083 10014\n13800 15117\n3504 7536\n2393 3018\n2006 11390\n9975 16631\n3254 17449\n6428 12238\n1613 8174\n11697 15590\n3743 13118\n12922 16217\n5685 7713\n10718 14456\n693 14158\n3877 15500\n7156 9017\n7389 12151\n7155 12239\n11249 13377\n13992 16689\n10535 17007\n15258 15803\n1973 12978\n5408 9637\n5759 12607\n8605 11012\n3367 6262\n4452 9024\n2584 16983\n5321 9047\n4241 10158\n14877 15247\n4251 5375\n5609 16368\n1309 3538\n8590 9094\n840 11547\n10420 10765\n1159 10313\n2947 12287\n8673 10555\n832 3470\n464 10751\n5201 15540\n712 6290\n10285 15628\n1062 6217\n4867 6338\n12226 16758\n8841 12688\n13462 16858\n6418 8539\n4423 11679\n676 8138\n13815 14077\n3239 8485\n5895 8337\n1717 8818\n1146 7012\n7006 13062\n2577 9432\n4936 17438\n6014 6721\n9504 10297\n2473 13488\n44 8083\n2232 10674\n2054 15177\n643 5596\n13267 16928\n1176 1372\n5058 5646\n5576 16616\n7943 16505\n1638 6093\n10496 14581\n6415 8151\n10694 13519\n5345 5854\n6926 13476\n8135 14790\n12319 16096\n3375 13610\n8833 11003\n9822 15514\n10327 14254\n8608 12331\n1791 9420\n13330 16585\n8954 15323\n4524 17173\n683 6832\n3912 8794\n5256 16706\n234 17193\n6593 7112\n6555 6824\n4758 16238\n1019 2094\n4392 5119\n604 12577\n770 9286\n925 7213\n8449 16759\n6935 10301\n2184 7274\n4034 4997\n3346 16425\n6778 11811\n6532 14122\n1083 1304\n5990 10343\n9599 17344\n5539 5804\n3052 15228\n14015 14887\n1396 4620\n2176 9190\n3153 9847\n5216 17446\n2797 16699\n7617 12701\n5733 8069\n9412 15227\n11841 12616\n3587 9316\n513 6826\n12015 12355\n11466 12789\n8720 14705\n2937 10291\n12864 16354\n6293 10087\n1645 3881\n11431 11903\n11175 14803\n2793 4579\n10231 14642\n4125 14862\n1991 8081\n8311 12474\n8757 12153\n4363 11008\n1583 7297\n10076 15047\n2210 2481\n4426 14362\n3736 9980\n7345 13820\n8106 17063\n2924 10917\n4471 9504\n7211 7668\n11868 14146\n9791 14018\n678 2020\n3964 10533\n552 9740\n6209 16348\n7824 10435\n3097 16988\n838 2713\n5574 11860\n11325 15277\n11438 13413\n3427 16477\n2082 16859\n821 13889\n4215 4582\n5174 15824\n8801 11682\n9640 16815\n2685 15814\n2648 8945\n8875 16399\n4463 16956\n6549 11702\n5674 8025\n9799 15690\n10407 16114\n1068 2712\n601 3711\n5744 17425\n11783 12145\n6455 14832\n14487 17341\n1993 4974\n2237 17402\n10426 14796\n1034 3313\n282 1542\n1433 17220\n1235 16167\n6744 8398\n1184 11601\n4437 12947\n4359 4661\n2316 14773\n9024 15648\n6846 15246\n88 13162\n5130 11442\n7578 11649\n7481 10472\n9636 15514\n7396 8276\n5604 5682\n3314 5217\n11379 13156\n7891 11878\n2114 5526\n117 8842\n8826 15641\n5390 15216\n2641 11097\n7664 12611\n364 1430\n3633 15658\n3931 7383\n2692 6114\n467 1553\n2046 11474\n10584 11743\n10108 15373\n3981 15021\n6349 14612\n365 11201\n13643 14156\n548 3908\n9818 14179\n4214 11856\n307 10240\n4920 7098\n1588 5265\n12899 17120\n2070 4112\n4627 13538\n15068 17013\n8561 13631\n10364 15937\n4290 13338\n1621 4273\n10995 17203\n9866 12161\n10903 11081\n2415 15194\n14614 15974\n6877 15948\n9400 16626\n2581 13057\n3848 11279\n1976 10619\n2270 12850\n12321 12542\n6022 16912\n3716 16621\n15643 17149\n10537 13877\n515 9694\n11151 17333\n6366 8148\n8307 11340\n7529 9396\n5387 11564\n10490 11128\n3202 5286\n3532 5101\n2563 6570\n8666 8853\n3036 9889\n7600 13234\n7434 15289\n4732 8069\n9690 16184\n1734 8646\n4379 6963\n619 9316\n5358 9397\n5263 7551\n7035 17335\n5613 6933\n13878 15012\n3240 16039\n4664 4853\n7440 8112\n5079 6074\n4725 7592\n354 11371\n7716 10346\n6725 8677\n6278 9131\n1681 3512\n2359 12793\n138 9153\n12032 16852\n3057 14332\n9448 15805\n7405 12370\n3364 11277\n8022 8838\n4837 15961\n2316 13224\n795 8543\n2689 6288\n5119 13719\n5545 10003\n1226 16529\n1859 14130\n319 3255\n5338 7770\n7727 9429\n14698 16081\n5719 15840\n138 10490\n6319 15110\n2614 4404\n8228 8472\n5205 7046\n7192 13956\n6315 15052\n8225 13274\n1929 15904\n1295 8318\n2592 12775\n14125 15419\n7539 14984\n1875 11489\n1829 16552\n4267 12044\n11129 11139\n5246 7676\n1395 8691\n7853 10430\n367 8710\n3751 16099\n862 17283\n2999 10104\n5804 11523\n599 1560\n8996 13589\n5391 14636\n5010 14448\n5679 12077\n1088 8566\n1643 10743\n13847 14721\n2597 15060\n9443 14636\n402 15233\n553 15966\n3295 4366\n10735 11072\n8320 10482\n5894 14743\n1257 2264\n8348 14418\n796 5980\n3132 5619\n204 2658\n3961 9900\n1197 12470\n7444 11049\n176 4021\n5585 7550\n2187 6824\n2136 16009\n5937 11664\n3229 4430\n11058 12813\n2319 6980\n3750 11106\n5500 12876\n1299 10928\n3949 7440\n5203 5254\n11593 14463\n10016 11859\n1697 2171\n3910 13713\n841 6104\n4087 5327\n13259 15232\n2464 4481\n2200 10212\n767 11401\n1104 4167\n9286 16624\n4605 8548\n2633 12198\n6133 16420\n2850 8645\n1928 3882\n2817 14948\n6141 10040\n15420 17293\n7976 10554\n1593 16031\n1791 6837\n7828 11950\n13763 15791\n2710 14018\n15299 16271\n10991 11588\n3532 14514\n136 5735\n7831 9189\n6620 15980\n4536 13236\n6600 7143\n8645 11249\n6489 11302\n2414 9573\n8432 11631\n11662 17167\n4363 5480\n6155 7320\n2680 10268\n6028 11163\n2271 5734\n5978 10600\n9444 13517\n4044 8160\n10585 11299\n3577 7597\n480 5069\n8094 13734\n9788 14433\n6089 14184\n338 12162\n1179 13857\n11776 16249\n606 7072\n11065 12548\n4069 6169\n8329 9589\n2239 10233\n3354 14016\n797 10227\n2060 11608\n2071 12589\n7971 10452\n4344 11028\n829 7653\n685 8294\n5040 16979\n555 6247\n8423 11818\n7884 9058\n2785 6479\n2362 3757\n10799 14751\n4533 7746\n10347 12825\n3072 7640\n10840 12176\n2264 14915\n4972 5657\n1841 11548\n11230 15549\n3527 13095\n11597 12811\n8979 13062\n10809 13569\n390 13740\n7229 11833\n16941 17429\n10517 14913\n7375 10430\n8590 14713\n12321 17021\n3561 13165\n7242 11273\n2076 9793\n10540 13399\n1356 6623\n1849 13207\n7653 7993\n1526 14026\n2495 5506\n1165 9835\n2072 6685\n8116 8168\n6427 8938\n3617 9299\n476 7145\n1165 3095\n341 11469\n5877 9432\n6908 16991\n8672 12306\n1032 2779\n4660 9486\n2977 11759\n10094 14289\n12632 15294\n1589 16617\n8293 14939\n7706 11924\n3807 9134\n726 9112\n3453 7335\n5005 16966\n8650 11692\n14470 15969\n1520 10281\n10448 11216\n6206 11157\n2089 3248\n265 13663\n16940 17000\n6623 11947\n3487 3861\n8977 11822\n12761 16905\n10720 16954\n5749 12828\n4728 15695\n9579 15963\n9043 15336\n3950 5972\n4599 17192\n3728 15373\n6676 17274\n11507 15879\n8843 17195\n4528 11823\n13216 15605\n8992 12198\n1788 6503\n275 13414\n1028 16272\n1489 8624\n8550 15261\n13874 14587\n8459 14091\n5832 8972\n2816 8907\n12910 13345\n693 8258\n6569 11184\n3759 14354\n657 7244\n3938 6336\n7095 7908\n278 7229\n4311 17191\n995 17287\n7862 8771\n6232 9011\n5588 17138\n13191 14949\n838 8678\n6818 10339\n5570 15670\n5253 14759\n10085 11520\n7671 9395\n1829 13519\n95 2016\n12301 13428\n4601 13755\n13125 14901\n6457 13595\n10776 12981\n12654 15091\n4491 14161\n5024 5366\n12694 15373\n2701 5615\n191 13627\n2720 7146\n1964 9762\n7301 8092\n9614 10590\n4202 16612\n4535 7416\n5715 16081\n51 10578\n2614 3268\n4226 4277\n2345 2378\n5338 12401\n2645 10771\n1316 13147\n2236 12412\n15207 16499\n12139 15741\n236 12751\n3866 7377\n4624 7954\n3433 15622\n8826 15939\n1746 9330\n6107 14801\n4845 13610\n16040 16902\n5339 7568\n1129 4580\n15074 16689\n9367 15670\n666 5041\n2361 7396\n7698 16736\n5039 6814\n6482 14143\n1956 16670\n10560 14537\n5998 13474\n13000 14127\n6746 13740\n4366 7753\n2413 7693\n12261 12817\n2748 14402\n1303 1556\n2857 4824\n1532 9566\n4334 11735\n7644 11876\n1675 8829\n259 16778\n3849 14546\n10631 11441\n5752 15016\n9969 16605\n8281 16928\n4533 12689\n299 14652\n1704 11636\n8916 11024\n4979 12192\n9367 11460\n12269 13129\n11458 11881\n7752 11259\n9429 14015\n6673 8673\n5396 11535\n2910 17175\n11241 13052\n4734 5626\n10967 15327\n567 14612\n1622 2894\n3905 12570\n15137 15485\n52 10970\n8891 11046\n36 4578\n5478 13827\n3965 17335\n5058 7112\n4242 14570\n13072 15694\n1835 16979\n1785 9811\n2035 8292\n14224 17261\n5172 8673\n3562 15899\n1355 9041\n135 2846\n13492 15887\n13212 13753\n4735 16333\n1418 9329\n2483 12378\n7783 15002\n7694 14215\n6659 15474\n12228 13725\n6483 8934\n11906 15319\n6316 17356\n394 14900\n11744 13104\n11724 12495\n10011 17095\n5664 10684\n229 14705\n6863 9681\n1104 5148\n585 621\n488 6302\n10486 14442\n9694 12694\n10002 12949\n3936 17194\n2913 10477\n2542 13367\n1777 4935\n3240 12069\n5304 14595\n1305 16181\n10754 16223\n4940 12385\n1056 1994\n2230 13067\n402 10454\n1603 6404\n2540 7547\n8511 9463\n7255 10727\n725 6722\n7748 16866\n9212 15143\n3175 16093\n6411 9698\n3220 14701\n2024 16232\n3050 16489\n3172 12719\n4831 7683\n8152 9779\n3327 13361\n2732 10793\n2176 4076\n4635 16648\n13584 13652\n8110 16577\n15199 16001\n1936 12641\n14557 15005\n6429 6748\n2716 7812\n2802 2920\n2066 2861\n2088 13336\n6971 14810\n531 13193\n4288 12959\n1783 2998\n578 7010\n9038 16748\n8381 9963\n2892 8963\n6817 8719\n2703 15140\n5329 11151\n4529 14812\n492 14615\n7033 15924\n5737 6772\n9287 11783\n7324 10642\n11141 14193\n6664 7612\n2463 3561\n4067 8388\n2280 4346\n1557 9096\n6262 15185\n10294 15821\n8212 12024\n12982 15620\n8966 9088\n960 2674\n1239 3140\n3374 9251\n4350 15889\n757 9816\n9613 13744\n1639 8634\n5574 11602\n645 11988\n4861 12219\n13069 16887\n3251 10136\n5357 10425\n5758 11188\n12095 15170\n6269 10851\n3456 16873\n7680 16729\n8786 16034\n6228 8411\n4703 13730\n4351 8809\n1746 5840\n1495 2134\n6874 13408\n11892 16943\n2977 14606\n11030 11889\n6123 16513\n4265 15038\n2823 5764\n8727 13708\n7252 13750\n1654 10276\n5744 7212\n3509 12860\n8947 16791\n5561 9538\n8663 13556\n3156 8066\n7600 14617\n3113 8976\n94 5032\n13375 14196\n6305 15397\n6872 14537\n7769 13515\n4337 10810\n5509 8728\n7490 11157\n7497 14107\n729 11406\n992 6258\n7905 14563\n869 15544\n5506 6990\n5464 7326\n9852 13452\n2986 16841\n1821 15725\n8217 16388\n4320 5850\n1932 12877\n7804 15054\n10418 12539\n7179 13888\n4468 10399\n7104 11967\n13579 14211\n13145 15908\n1724 14965\n9442 10121\n14889 17111\n792 1373\n495 1737\n3027 14750\n8985 17438\n1380 5701\n3399 14380\n1935 17029\n1492 3953\n2410 14576\n1459 10129\n1656 3508\n3271 12643\n1794 5231\n4833 11497\n1091 10775\n7761 16020\n12120 12316\n6018 13485\n10329 13203\n5882 8078\n12660 15904\n12302 14973\n729 6581\n6061 10912\n205 9316\n13298 13323\n2896 3208\n3856 16929\n1311 14478\n9275 14357\n1404 11387\n5281 11084\n826 4397\n4929 16024\n3966 11334\n14918 16462\n7973 15147\n432 2891\n5169 13071\n8001 8980\n2050 2885\n11958 12342\n6180 14252\n8007 14221\n2323 10061\n3790 6601\n6479 13344\n3435 12482\n9774 16345\n5169 7321\n10319 13423\n3987 17389\n5364 13219\n6865 13631\n11915 14859\n9746 12538\n6933 10274\n12151 13012\n2845 8474\n5064 17419\n10112 11103\n2423 12917\n15048 15068\n9045 9085\n2467 14476\n3212 16689\n4628 6865\n15292 16417\n3242 8361\n4450 9081\n812 17258\n7014 11411\n2307 6986\n593 17081\n586 9186\n9849 15687\n8490 14991\n8103 12680\n6781 9575\n3920 11461\n1808 12358\n11050 12506\n1534 2271\n5470 13007\n5417 7655\n11014 16770\n8888 13700\n516 14282\n5261 5932\n1659 5304\n15035 16952\n8129 14234\n9286 11877\n12770 16890\n7928 12379\n2921 6197\n4763 10034\n8182 14098\n1994 8240\n7652 12664\n12236 13229\n6113 11941\n6619 8582\n1834 5289\n3048 17138\n2159 4549\n2134 3444\n14980 16044\n4928 11953\n6477 7544\n16635 17234\n7030 16419\n5508 14386\n4565 13581\n11363 13265\n2822 8647\n1567 3806\n956 10202\n1728 1960\n5307 11545\n4616 17459\n1119 14299\n11839 13309\n9962 11946\n13053 13479\n3090 15720\n3231 10707\n2591 10405\n4277 15083\n3115 4026\n1815 5270\n15456 16611\n1060 13116\n3070 16708\n7358 11667\n10057 16882\n2079 16006\n8682 8748\n1851 6174\n221 8365\n1893 14017\n2082 14455\n13861 15513\n5614 16354\n26 14538\n2063 4600\n10638 13561\n2879 5809\n3074 9425\n1570 1801\n4571 14974\n5200 9330\n4699 10155\n10081 14413\n14363 16536\n3628 8417\n330 8280\n449 12347\n1990 5984\n2023 11075\n3082 17448\n3466 8027\n4120 5224\n7514 14536\n3427 4389\n9086 11014\n8021 12558\n1996 12610\n12233 13407\n12342 16819\n4370 10850\n5653 7710\n307 14274\n827 8259\n1805 15228\n7544 15608\n3003 3165\n3364 15003\n5146 5667\n13119 13683\n3283 6993\n8576 13598\n9633 12109\n5670 16669\n8427 14873\n146 5490\n9730 16584\n5521 10214\n3890 11863\n2820 16932\n9951 12094\n2 1296\n1859 1929\n10992 13061\n5870 6850\n2404 12131\n3178 9656\n2063 5126\n8422 12246\n1832 4446\n2066 9328\n366 4164\n2224 17341\n16163 17128\n2272 11106\n17305 17323\n8847 15114\n7770 11161\n6092 13376\n2123 15324\n2220 14039\n993 11726\n1926 2312\n6354 7799\n8145 10393\n2408 6938\n1724 16110\n10674 17137\n3063 13718\n7019 13632\n10076 10814\n8625 9423\n7901 9640\n2712 6122\n2633 12912\n7057 9366\n1095 13642\n3066 5885\n5428 13199\n2817 12138\n4720 16545\n1369 12293\n7420 8190\n3634 9165\n12619 16608\n8186 9737\n5294 13282\n4447 4485\n982 7578\n10483 13362\n3244 10759\n5529 12555\n2148 4913\n2958 7939\n8572 9834\n4946 5416\n4274 10176\n3389 14626\n11736 14478\n7695 7773\n10191 11459\n4187 13843\n588 8356\n2961 16763\n1323 10080\n7607 9341\n5495 15205\n13404 16401\n7548 13009\n4336 10233\n9052 14763\n7136 8018\n3323 14527\n6412 16602\n7274 13690\n4498 13037\n2594 5827\n15230 16774\n4188 4856\n632 5547\n3399 13615\n8569 9002\n2159 9586\n475 12507\n2186 17246\n8376 16127\n2828 16605\n16524 17327\n8447 12289\n3861 10952\n9376 15827\n2864 17436\n3461 9457\n629 1966\n6594 13877\n551 3701\n9051 12362\n1796 10801\n1369 14531\n1197 3432\n3021 15193\n5680 6683\n1765 10491\n2015 15856\n8765 9049\n9283 12546\n11260 17398\n10099 15867\n1743 6173\n9054 12165\n9151 10994\n9483 15070\n13215 15994\n7113 15043\n380 11069\n1066 4376\n8814 14926\n466 12103\n14266 15897\n11900 14104\n7955 8953\n7449 12175\n9672 17182\n5662 6847\n15511 16696\n5209 14571\n10022 16829\n8025 10587\n658 10170\n11653 16904\n4956 10307\n804 16002\n10291 10657\n3970 17038\n12824 13711\n12847 16514\n10653 12813\n5515 9372\n2608 11144\n15593 17142\n6173 6765\n6828 6859\n193 6403\n3959 16303\n2563 15487\n16922 17096\n10308 17014\n4592 6244\n5847 7681\n2152 16676\n2276 2866\n6085 15469\n9039 9412\n4866 11708\n2273 3012\n2776 13787\n10392 15601\n14011 15438\n5576 16480\n229 6161\n6043 9730\n6114 14877\n4073 17261\n4112 5825\n3620 11279\n6849 14826\n9623 15469\n15565 17110\n2285 11325\n1439 7316\n16250 17212\n2861 11337\n1727 3894\n10940 12026\n427 8282\n6131 6647\n4313 6970\n10690 12878\n1876 13997\n381 10103\n3628 10854\n3519 3778\n5845 7217\n3490 7656\n1078 10093\n1314 8143\n12057 14552\n3741 10253\n11551 13349\n7102 12687\n8533 10234\n3888 7514\n3715 12192\n3477 17097\n1578 4898\n2509 16890\n6312 16244\n6490 13548\n8824 10895\n1124 10925\n11299 12836\n139 5836\n10394 15836\n7257 8172\n2540 13100\n3224 9257\n10979 12782\n9686 15755\n2587 11435\n8483 16054\n10327 11208\n9946 17460\n633 12114\n487 5911\n3178 4593\n6137 13536\n1820 6514\n16762 17035\n4833 12335\n4573 8367\n258 6191\n13796 14228\n5771 10187\n9185 13261\n4166 4754\n3100 9713\n12724 16054\n4501 16444\n5813 6775\n3099 4804\n8864 9817\n3595 4761\n829 15672\n3050 10811\n7608 13339\n1653 12368\n27 8310\n971 4108\n336 14327\n8452 13376\n466 12748\n243 2410\n1831 7910\n534 4407\n4179 15833\n7824 14557\n8086 16255\n4342 8577\n1653 1669\n12467 16677\n5423 15947\n3485 17369\n1901 13616\n2467 4937\n10298 14099\n4932 12882\n7076 12909\n4197 16942\n468 16572\n3163 6764\n4858 5198\n3035 10307\n4511 13135\n4756 7365\n9139 17269\n1198 12732\n9610 10535\n1216 4745\n12600 13546\n7231 17373\n6936 14626\n6652 11090\n5003 7927\n3221 14932\n6398 9129\n1646 1842\n1794 4163\n11932 12445\n136 16387\n6520 12535\n2 13443\n2552 11852\n13973 14143\n5898 12101\n2409 7128\n10996 13100\n1844 6938\n4404 14020\n635 1846\n2955 13824\n7433 11963\n6935 16415\n13503 17117\n16304 17337\n1224 6583\n7096 9487\n16858 17353\n7845 12190\n6118 15719\n9078 9502\n10024 11237\n8996 10241\n3797 7135\n1475 11343\n468 14884\n8119 15871\n10723 14640\n2815 5971\n1120 10071\n8442 8858\n380 7065\n514 3275\n1937 6260\n5732 12625\n273 13543\n7409 9477\n6639 13779\n10714 13980\n15 16265\n3209 3379\n6404 11871\n1616 5307\n8018 15858\n5279 7863\n3123 16818\n3833 12919\n3625 10020\n1128 8141\n2349 14793\n4601 11288\n11725 16357\n7997 10202\n2901 14299\n4045 6982\n6057 8076\n10127 13427\n1397 4008\n8674 10749\n617 11170\n12415 16893\n10664 15106\n9863 17010\n4864 12745\n7701 12128\n12158 13605\n10297 14900\n8769 10103\n5836 16110\n5354 15499\n4881 13265\n192 9809\n3067 15817\n6828 12153\n3639 10640\n2689 8411\n10995 17292\n430 15172\n769 15826\n6128 10086\n2221 17005\n5905 16392\n323 14549\n6373 9944\n3576 16530\n3617 15067\n1827 3120\n584 670\n13061 14700\n903 15997\n4855 15663\n9581 14341\n4088 13881\n3499 6402\n6890 7566\n3432 4605\n5822 9759\n6244 6323\n2297 10781\n12795 13658\n1016 3187\n791 11486\n8462 17142\n5760 11469\n8127 15031\n8880 16616\n14295 15552\n3680 6402\n1740 9938\n11468 13704\n2871 4148\n1865 12412\n6615 16291\n1917 8825\n555 9024\n9558 10930\n3818 14517\n9465 14865\n10158 13339\n6842 12679\n1283 6077\n12562 12693\n8254 9131\n4673 5481\n3014 8522\n8080 16794\n10059 16589\n12587 16852\n2313 12843\n4698 17158\n4102 15651\n7921 8450\n13033 14906\n1160 12950\n12705 16665\n12850 14693\n750 5568\n10128 12216\n9595 15895\n5049 10272\n1843 13019\n3008 9964\n2040 2973\n13091 17384\n4460 17233\n1397 13381\n8868 9920\n1555 4727\n5904 6064\n6646 13201\n1060 6531\n2024 9849\n3459 7999\n1669 7876\n4181 14356\n3000 9628\n4051 8182\n6574 11265\n6610 13085\n16333 16766\n3357 8042\n3063 11347\n6144 7271\n1130 2044\n10953 13241\n5499 17308\n4122 10027\n4572 16658\n1731 16459\n4973 13171\n1707 17116\n3136 15855\n11583 17341\n2573 12475\n7500 12337\n3014 7740\n13052 13205\n1751 5293\n3881 5950\n13227 14456\n12439 15203\n6638 14904\n13951 14915\n4981 5004\n5139 5588\n1460 8971\n8085 8622\n5838 8478\n5393 16021\n2359 13246\n325 1125\n5249 8502\n657 10592\n1347 10355\n2040 11586\n15292 16520\n4373 7361\n6251 9209\n9099 14579\n7172 12124\n254 13702\n9793 14846\n7301 12641\n7982 14232\n3449 11125\n5761 14395\n9132 13822\n14339 17187\n1041 10506\n4719 6271\n4992 8249\n8811 8909\n3518 13847\n3391 3704\n2380 17202\n11017 13992\n1352 2238\n10811 12117\n9632 14373\n10885 14778\n314 7275\n8907 14840\n6416 11188\n645 17142\n2410 11013\n14206 14561\n403 12340\n15257 15452\n1788 12351\n8364 16092\n12262 14620\n14724 16293\n955 5861\n5305 12969\n2468 15734\n9244 14860\n534 12528\n7010 7980\n1211 7649\n3650 15443\n6169 13963\n2606 14755\n13057 13329\n2086 12277\n7185 12217\n3744 11042\n2778 7447\n5184 7180\n3924 9744\n8466 12885\n5627 17453\n5736 9476\n2602 10079\n6714 9482\n12422 14032\n15111 15337\n16223 17380\n373 9139\n5156 6168\n1865 15506\n1042 8111\n5732 6311\n9425 11495\n12604 15298\n2055 7275\n6088 13286\n8625 12076\n10152 14397\n4154 12245\n4643 16871\n8976 15960\n4812 10452\n10645 11866\n4909 9367\n5335 6099\n8496 17119\n2124 13508\n14128 16361\n11121 11571\n6911 10146\n14774 16327\n4918 10717\n10486 17363\n983 13611\n12091 16199\n3599 15148\n206 961\n968 13990\n3434 16931\n611 7725\n5513 17187\n1167 13697\n11412 12308\n7358 17237\n3646 10720\n6144 15311\n2701 16019\n6854 9665\n6860 12805\n6031 9265\n5358 17207\n9472 10401\n2633 12721\n8573 11794\n3800 10376\n2549 12717\n6344 13152\n1605 4273\n8187 8365\n3683 13638\n5221 8846\n11820 14453\n3707 9653\n55 2247\n5055 13118\n2422 10600\n2025 4879\n14031 17283\n10695 16866\n7655 9218\n7361 14867\n6244 13562\n2468 2764\n1624 5492\n7572 10915\n6396 11559\n14918 15940\n14313 15251\n7777 15383\n3993 11965\n16702 17144\n212 13379\n5791 14751\n14767 17071\n1391 4627\n5164 15367\n9819 10434\n10091 10694\n5454 8006\n2588 4519\n1057 11716\n6 5590\n8440 15956\n8480 11868\n3314 12339\n154 17100\n6023 13938\n834 5725\n10967 11143\n2904 9941\n11883 14685\n309 15711\n8573 15681\n8353 9688\n1906 14378\n8841 14606\n9808 11829\n1245 10806\n14484 15173\n1665 13838\n9228 14740\n2855 10320\n370 14704\n6752 13814\n10822 12379\n3881 4240\n1094 11592\n11826 14652\n4878 14899\n7870 8624\n3734 12782\n370 16012\n311 6261\n11631 15754\n9907 16652\n1161 5960\n2849 4743\n7710 13844\n5819 12091\n8067 13250\n10204 14823\n2522 2601\n6293 13939\n1749 16621\n7251 13807\n3995 8644\n14467 16829\n12436 13168\n7108 7181\n13110 14120\n5831 10345\n12380 14354\n99 13867\n1640 9536\n11261 12528\n5774 15648\n8091 11635\n5042 17158\n1043 7136\n854 1195\n13379 13519\n11919 13635\n1832 8098\n3687 8874\n1534 14780\n9571 17438\n5824 11008\n3567 6920\n1033 11456\n4020 9564\n2266 13919\n3278 4538\n1546 3465\n3513 16397\n10119 11072\n4755 14692\n2643 16693\n1164 9766\n10722 16800\n10454 12506\n7099 15671\n5332 14387\n4929 7631\n16877 17296\n934 4635\n2602 15503\n7816 14281\n868 12702\n9102 12065\n629 5498\n1444 15017\n8991 13152\n5873 15072\n4886 9406\n3695 15745\n325 458\n1315 2279\n10905 14245\n2495 14106\n2607 3084\n10056 14287\n8496 16800\n4891 13350\n9972 11430\n5714 16900\n2537 13795\n9358 11675\n5596 14212\n3625 14498\n30 11183\n2402 7501\n5934 13088\n535 16179\n7857 16738\n9417 13974\n12358 15125\n3825 12249\n9925 14722\n4515 12655\n5436 9887\n13310 16966\n4339 13285\n2981 7954\n1910 7030\n6621 16491\n8153 9636\n861 9367\n2239 2312\n5178 8729\n7415 11929\n8172 13461\n3612 5816\n1549 17256\n3379 6198\n6187 9808\n13922 16527\n12288 16135\n1955 11912\n2165 4382\n12246 17397\n7300 10272\n12958 13196\n3866 9263\n267 16786\n8145 12879\n11428 13780\n6059 11405\n10384 15530\n3637 14832\n14293 16635\n4031 15813\n10 9672\n618 12822\n7946 9567\n8232 15424\n4855 15310\n4715 11112\n1729 14628\n2442 14605\n2834 5030\n3261 13066\n1885 9552\n1069 5147\n2478 7166\n9092 15178\n5118 14035\n419 13323\n708 3454\n8053 14945\n7632 12800\n2895 10988\n4395 7342\n9449 15494\n7205 12509\n9036 15381\n1261 14431\n9056 15185\n1012 7536\n5210 15949\n436 6238\n11173 15091\n3005 17165\n10674 12270\n5833 15792\n524 15428\n3559 10426\n11924 16055\n8433 11182\n2976 13503\n4926 15744\n4673 12952\n333 8316\n1485 8136\n10337 15437\n565 11360\n2395 11315\n6225 7337\n409 4936\n2749 12177\n10960 11009\n2696 16515\n2964 16317\n1054 12043\n4839 12982\n1920 9892\n987 2698\n12490 12526\n3091 11413\n2320 10460\n8874 9368\n16994 17015\n1397 5876\n9821 10554\n5479 16134\n13447 16997\n12943 13273\n9723 15632\n2219 2293\n10800 13769\n7779 15334\n5302 15548\n6742 12037\n8721 16269\n4182 16752\n1129 1831\n3595 6967\n2630 5935\n1051 15930\n4038 10998\n6627 14413\n4751 16349\n1212 3076\n6236 6737\n1069 4334\n7980 12116\n523 11833\n10545 14294\n7647 10312\n353 12005\n1618 16294\n14563 14739\n2829 13543\n5597 17290\n5450 14440\n4803 14989\n8367 16244\n1674 16500\n4226 17038\n8817 16351\n2687 4207\n1290 1511\n1844 11237\n31 17049\n6389 15313\n8222 8845\n14981 16267\n8421 12119\n386 387\n5568 5739\n13541 13941\n12059 13807\n2464 12596\n5616 6698\n15258 16741\n6541 7224\n3715 4971\n2052 6085\n6245 14364\n11381 12156\n5172 7569\n13484 16314\n15349 16811\n11218 14811\n5105 15174\n1144 1934\n5072 8359\n2223 14992\n13229 16491\n14097 15374\n11797 17113\n9863 17092\n6404 9513\n5491 7175\n5180 9785\n10402 12641\n11898 16266\n5155 5884\n5939 6937\n9874 15432\n2264 15839\n2640 10045\n2202 11314\n1336 13601\n7924 10983\n6853 7549\n9474 12537\n9004 9332\n1352 8278\n2233 4630\n912 8292\n8491 14481\n1525 11354\n1768 2556\n7604 12445\n1909 11601\n577 16099\n3681 10604\n11984 16498\n2769 10083\n639 8240\n6166 10223\n3092 15284\n3809 13399\n6857 7459\n12581 12730\n7831 7999\n1377 13366\n6258 8014\n8581 11971\n7851 8989\n5300 14960\n3172 10505\n3365 14355\n94 16811\n1322 15563\n10132 11190\n5966 13306\n9264 14869\n1053 13334\n8189 9597\n540 7411\n2853 9065\n4943 14766\n1185 5995\n3255 14395\n4388 16044\n4629 15139\n11323 12844\n1971 15266\n7095 17393\n16565 17068\n2733 14670\n7746 13552\n15234 15531\n5882 9665\n10458 13674\n2628 10558\n8497 16041\n6906 7372\n4636 4760\n6229 13245\n15107 15366\n2947 16234\n319 1390\n1913 9939\n10667 13222\n8607 11199\n10208 15473\n5406 6454\n3703 6378\n4183 13753\n2131 9729\n1224 13609\n5568 11716\n8990 10505\n14535 16133\n4379 4777\n7329 8532\n15433 16034\n13291 14616\n5939 6501\n2304 6794\n6578 12702\n9761 12409\n6160 13629\n9804 11769\n5975 16464\n11865 13051\n9016 17169\n2097 2750\n4920 12801\n6919 9770\n7036 7554\n4521 13053\n1889 7242\n1419 9543\n5769 16116\n5450 10504\n1486 5260\n2974 3255\n14374 14992\n4719 5247\n7214 11131\n11969 13009\n7916 16639\n15865 17252\n5912 11270\n11578 15182\n12318 13724\n4451 13019\n6194 10128\n11632 13528\n4664 9501\n10242 17116\n3328 12013\n1526 5976\n4670 14854\n14959 15294\n2367 4826\n14850 16317\n1150 6299\n9472 10344\n3103 16830\n5120 12073\n3912 9706\n2018 9613\n5899 7178\n6663 9836\n13836 14184\n11581 16970\n672 6188\n1134 7681\n7159 9142\n1110 10398\n9271 9912\n1129 10708\n1783 15764\n6967 14515\n7164 15763\n444 16490\n1517 5144\n6002 6011\n10147 11768\n2183 12474\n9604 14104\n1100 11751\n10009 16421\n8463 14595\n3112 8182\n2982 10856\n1227 9765\n5149 5846\n8023 10539\n2677 15783\n1191 15466\n4489 11719\n12947 15674\n8195 10383\n2030 2711\n3157 12433\n5296 7958\n5932 12400\n1329 3679\n12283 12861\n10858 15584\n5022 7392\n14496 16126\n3283 14157\n9978 12283\n1845 12710\n2782 16842\n8153 13918\n8286 14878\n5468 10538\n7629 17404\n10589 14133\n11560 16869\n2365 8090\n1476 8943\n8533 8657\n13598 14248\n5209 7442\n417 15351\n10005 11822\n7297 7709\n8432 10838\n4410 11577\n2587 15129\n3718 15301\n2865 14542\n9996 11410\n398 12331\n4525 7530\n8375 10242\n3254 10197\n9436 12623\n9926 14738\n1620 6484\n12497 13193\n3995 10207\n3181 12750\n6297 13705\n2538 14033\n11204 12604\n2508 13527\n1597 5381\n6566 12356\n7430 7677\n6522 12576\n1709 10287\n8886 11167\n5880 11616\n5606 8101\n10736 11335\n3176 15859\n9802 17377\n8198 8348\n9410 10588\n11017 14308\n15763 15871\n12888 13719\n4703 13395\n665 4911\n2796 11546\n10914 12836\n6143 14983\n1929 5859\n2636 5540\n3952 4234\n16334 17420\n6242 14385\n8727 16869\n9208 14667\n570 14176\n1018 8483\n8072 15849\n4114 12461\n2129 2723\n9458 16967\n5948 16591\n1431 12871\n9580 9929\n7537 9935\n4170 8446\n4405 15993\n4569 16974\n1120 11363\n2456 7780\n1387 5119\n3791 11828\n1095 12698\n4612 6872\n203 4028\n13056 16697\n11323 13153\n3807 8019\n4205 13955\n12099 16726\n1922 2514\n7209 11192\n7690 10316\n5365 7485\n4913 11967\n5578 6126\n3610 14105\n5904 16431\n10869 12963\n8031 17290\n9518 11224\n6953 16249\n487 11895\n3609 16122\n4685 10300\n2387 5006\n1429 7052\n4803 9263\n1956 8496\n1050 13299\n11250 11550\n6286 7343\n4046 7371\n249 12866\n3296 4653\n10347 10830\n5563 15570\n10375 15850\n8523 11451\n5990 15886\n3594 7960\n13446 14182\n2631 11674\n2733 9495\n493 9862\n2827 13712\n793 6044\n2383 12688\n3872 14594\n961 14302\n7268 13566\n10849 13526\n1259 13641\n4497 5180\n1220 1476\n357 11983\n11833 13018\n762 2352\n13362 15641\n7667 13863\n1333 6359\n14385 15896\n9059 16830\n11191 16513\n14982 17328\n8231 9443\n4396 14972\n8108 13839\n5312 5530\n376 16283\n3035 10719\n11896 14547\n3175 12442\n3571 7001\n13710 15475\n15167 17088\n6220 14253\n2067 8710\n1729 15034\n10574 14155\n222 1587\n6648 8796\n167 8075\n6639 11197\n12492 14533\n17387 17457\n5368 11759\n661 8563\n1671 14464\n3528 4453\n10374 11783\n1739 8191\n9692 14119\n2182 5735\n3767 9531\n1339 1639\n342 2744\n9182 14569\n2350 15189\n4537 6298\n12869 17393\n3099 9987\n11729 15497\n4759 7432\n985 12142\n16253 17247\n2887 7238\n2334 9360\n2877 14437\n3384 7361\n6149 9409\n2225 11750\n11822 12661\n8066 10444\n7561 9108\n3280 6997\n1970 16943\n3780 16286\n4463 12711\n10506 16575\n11511 13768\n292 6479\n2767 2993\n1041 10145\n2939 8852\n763 14622\n2185 7066\n9630 13693\n747 3832\n4449 13114\n1345 4416\n2438 2706\n3903 9513\n4673 13927\n4600 14339\n6920 13953\n8477 12210\n11195 11654\n8947 17142\n1948 4845\n507 12434\n6534 16829\n6920 10745\n4045 11141\n192 1956\n16159 16948\n8069 9948\n12598 15028\n4191 9964\n7025 8021\n1902 13059\n12375 17006\n10236 17456\n2103 6750\n944 16668\n1088 5306\n9952 14833\n8873 16551\n5539 8584\n12558 15670\n5957 10611\n6770 16532\n1846 10522\n298 4305\n5877 15852\n9841 11165\n1945 4124\n430 13372\n303 15817\n3243 7662\n10115 13889\n2734 7595\n4140 16565\n8346 15442\n3702 10388\n14963 15041\n2129 10018\n5888 15484\n3437 12941\n1675 4252\n4850 11365\n3433 8877\n1269 9620\n10646 15690\n5398 9636\n11861 16009\n5260 14642\n610 10588\n3384 12536\n700 4830\n2889 8328\n3434 6681\n2535 3537\n9024 10025\n924 13142\n7076 10760\n3312 5317\n6644 13615\n4754 12642\n783 17336\n2080 7703\n4233 8563\n889 13098\n6293 11144\n5475 6142\n4854 13651\n15042 15791\n7991 16581\n601 11194\n4223 15004\n4455 4526\n1645 6890\n9006 12914\n11111 13639\n9505 14847\n3029 3294\n291 13651\n1158 15173\n13860 17185\n7535 17131\n7323 17238\n7602 15429\n9005 9565\n6956 14690\n2325 17357\n2773 3660\n9698 13782\n14257 17277\n2592 15094\n13609 14166\n6930 12797\n6841 8526\n7481 17058\n2812 8925\n4332 7137\n6621 10129\n8845 10114\n3890 6513\n10599 15710\n1314 8132\n8787 10542\n3924 4497\n6792 16228\n7917 12474\n9940 14466\n11649 16916\n3538 11234\n1480 2689\n7647 13680\n4468 10799\n33 540\n2721 15297\n9964 11938\n13158 13774\n4943 16529\n13967 16167\n9207 10511\n5250 5352\n2764 4346\n3765 10296\n8207 14788\n4694 15019\n14912 17184\n10422 13922\n13746 14266\n3852 17276\n2465 11845\n4898 14826\n13085 15920\n3123 11820\n7951 15782\n4703 12383\n1491 6708\n1264 14497\n16507 17377\n6418 9761\n259 14721\n4738 5265\n7498 14760\n10290 10879\n3325 11269\n3784 7981\n3209 9395\n1765 8916\n168 807\n16059 16514\n2496 11666\n2743 3470\n5343 5611\n2524 4504\n1462 5702\n8925 10933\n1420 9745\n6394 11443\n6118 13495\n8180 9317\n8435 16047\n1264 8299\n4164 16136\n137 15392\n8767 14767\n14286 15814\n6872 15214\n1751 4127\n9667 11142\n11938 12650\n8863 16904\n6586 10357\n9784 11967\n764 6963\n5819 13838\n2861 16197\n1550 9228\n10871 17014\n596 15247\n1218 10630\n10458 17320\n2482 3911\n15504 15653\n2733 15081\n972 2671\n3163 10554\n8034 16906\n295 2886\n8604 10288\n14721 15390\n1223 6381\n11533 12649\n283 16637\n12633 15743\n420 4365\n55 8069\n5650 8096\n1433 15741\n4626 15615\n4521 5482\n2876 16961\n13646 14701\n6317 10398\n4659 14341\n7392 9985\n6292 16562\n8678 14962\n14735 15008\n9101 14367\n1464 2274\n688 5181\n5912 10264\n3806 16251\n346 14517\n5639 15353\n4330 11779\n3062 14927\n14047 16159\n8184 9074\n3963 6995\n1598 15453\n10158 15822\n15183 17087\n1157 10729\n10909 11068\n13920 15943\n6338 9027\n3129 10037\n721 15130\n6846 10019\n308 3957\n5307 10964\n2994 8176\n3871 4736\n8392 10111\n15039 16752\n635 8492\n5730 9602\n8409 11874\n14124 15648\n2708 11859\n9200 11524\n7035 11497\n11449 13846\n3328 10917\n3492 7117\n221 15774\n7553 11888\n1671 13302\n3047 5045\n15650 16350\n3634 16172\n10925 16576\n1170 8323\n12593 17330\n8198 16617\n4181 7884\n4111 12795\n16059 17019\n4091 12522\n1917 11653\n11603 15061\n1768 10578\n11827 13869\n2173 13703\n1402 10528\n7107 11502\n2261 8642\n7285 9710\n7901 13227\n3089 4346\n4562 9683\n4178 12840\n6827 13076\n7343 16793\n5341 7935\n4916 10820\n3975 11973\n7022 9262\n3099 7041\n5963 13104\n221 13426\n802 17246\n10363 16838\n3500 8811\n6055 11676\n9579 15863\n6978 17063\n16 5796\n15038 16653\n2048 7567\n6105 12358\n12020 16777\n7479 15643\n7041 10023\n4767 10698\n1258 4825\n2999 8421\n10331 16185\n87 7918\n1242 4832\n9926 11915\n11863 14471\n11451 12764\n6455 12200\n3271 11999\n2543 4527\n6117 13552\n12887 17347\n1445 6166\n8649 10901\n4663 14622\n6346 12197\n322 13192\n1440 12256\n11719 16157\n1611 8885\n3837 6710\n11751 12197\n12323 17173\n1207 8226\n15714 16307\n1709 6223\n2103 13663\n4334 10738\n980 2321\n2302 15348\n11075 13061\n3043 16790\n8148 12766\n2240 12902\n8069 12927\n11080 16878\n2740 16680\n14931 15214\n2261 9348\n4984 9750\n6938 6995\n8555 13396\n3690 5408\n23 948\n13606 14657\n1345 13329\n4480 9370\n3472 12840\n2286 3041\n6634 6841\n14888 17013\n11500 12991\n5100 15260\n11718 13660\n2142 11246\n1254 8176\n1030 6654\n2833 13485\n6182 8078\n6214 7658\n12339 14838\n9834 16438\n2716 17060\n7016 11071\n5910 7481\n6519 10222\n8002 8961\n6389 8069\n9795 16470\n4161 12386\n10342 13065\n870 5341\n1941 11188\n5482 7661\n2388 5930\n2214 2334\n4373 7603\n1724 6409\n1578 14243\n6127 8181\n3202 7879\n180 16947\n9101 14747\n2473 11356\n9939 14009\n3955 8629\n623 8174\n771 6032\n4156 8761\n286 15648\n323 13390\n149 4383\n3098 15141\n12419 14078\n8722 16831\n2781 5596\n592 16754\n2088 11606\n2236 5299\n1109 16491\n5440 9401\n5339 16699\n82 8197\n3697 13380\n7258 15406\n859 13400\n12208 14633\n1543 12059\n14016 15374\n4541 10390\n4311 15922\n2832 10205\n684 8026\n1574 6838\n993 6146\n6950 11622\n2660 8572\n15702 16800\n1491 8162\n1842 2193\n5733 9109\n7236 10524\n13598 13777\n5854 12920\n4878 12866\n4342 5108\n6615 6780\n4809 12271\n10082 16746\n4328 9263\n9663 11576\n6835 11574\n1642 11600\n1806 7735\n13748 15649\n4506 12526\n12230 12900\n1791 8391\n1871 3044\n14734 15499\n2049 13574\n4871 11652\n7791 12934\n6302 10827\n5685 8633\n12149 13495\n3033 12716\n981 5756\n4377 12518\n12536 15235\n8628 14768\n1640 15342\n7605 13672\n6253 17231\n14925 16814\n15864 16219\n5732 6139\n2016 8509\n1763 7377\n2604 13063\n3086 15491\n1177 7595\n4371 15639\n1202 15051\n1051 3309\n5718 16433\n10510 12130\n6706 14187\n1921 7177\n8946 10215\n4827 5071\n3458 3847\n1335 7314\n9572 17351\n5188 15830\n607 13442\n8039 15638\n6720 7040\n4826 8926\n6510 17076\n4 5225\n13201 14400\n2736 4092\n7338 14245\n6504 10919\n6808 8985\n10611 15087\n4418 13628\n6268 9911\n87 7172\n13772 15840\n3109 10475\n6608 10551\n2367 14576\n1410 6773\n16243 16693\n3997 4993\n1620 10985\n3784 14956\n5888 14165\n2951 12488\n1724 15704\n3050 16506\n5361 14602\n1466 14568\n4847 16558\n5593 14775\n9377 15125\n12501 16268\n1898 5427\n4438 10401\n16395 17385\n2507 8520\n8951 11816\n2128 4950\n706 804\n4832 16773\n8466 12016\n1651 7994\n681 12403\n7968 8366\n5221 17360\n5900 13498\n1122 3869\n4385 8431\n10232 13152\n13479 13705\n5372 14415\n2607 12230\n5964 14633\n8681 10027\n4740 15470\n5954 12610\n4633 16925\n10727 11491\n1155 5468\n11082 12189\n2935 6393\n15385 16425\n8446 13004\n13642 16577\n7772 7921\n6367 7535\n5329 13764\n6386 6693\n202 5969\n7553 12007\n5064 16713\n7341 12071\n2412 14224\n2964 13343\n5941 17313\n1342 10099\n1780 14121\n1928 3640\n933 9625\n912 4266\n11143 14506\n3500 16475\n5424 13582\n3438 10422\n3978 12693\n6765 16102\n1461 13025\n5072 6216\n1712 10075\n9471 10534\n5241 15953\n1274 4672\n677 4884\n3190 16542\n1758 8800\n514 10684\n423 4006\n8572 12909\n12987 16979\n8753 12624\n6375 11044\n7605 10859\n9739 17198\n2141 14265\n3544 9365\n7226 15083\n9806 14409\n7731 8838\n2956 10632\n2761 13486\n5167 10444\n9540 12153\n8652 13471\n8110 15044\n2503 8455\n12223 13893\n5168 12865\n7906 12640\n4926 12939\n2202 6554\n7140 7261\n24 15613\n4107 11826\n9601 15346\n2342 16792\n3287 3967\n9639 15482\n499 6156\n11133 14203\n9593 13040\n769 7204\n7657 10030\n8667 13408\n142 9699\n3769 11279\n1723 8875\n1716 11341\n6952 12519\n499 14042\n2996 7019\n7334 7996\n4019 8555\n172 3616\n2738 15632\n10038 13397\n15883 16031\n1213 1544\n2391 12491\n8694 8798\n13706 17397\n689 3375\n8092 13038\n3522 16072\n4186 13593\n2729 11963\n7014 11802\n12744 16342\n4389 8839\n7812 16600\n5583 9210\n12620 17107\n7203 16177\n10881 13029\n5511 6071\n7473 9191\n12467 14093\n11634 15667\n2221 3055\n385 9422\n3797 13929\n438 7542\n11740 14604\n1262 4242\n9457 14443\n4363 8660\n8306 15963\n4944 6053\n2574 15121\n9055 12590\n9218 12697\n6179 17271\n14785 16493\n11382 13411\n5092 8044\n6869 13066\n2813 15353\n7186 16327\n4163 6362\n3502 8945\n13034 15798\n2447 13266\n5690 12550\n12875 15631\n10132 14229\n9245 10151\n1939 8143\n9337 13532\n7121 10044\n5896 17295\n8846 12197\n7310 8845\n12408 14697\n7460 15357\n11366 17308\n12269 16090\n306 307\n1991 7457\n9738 15851\n3747 5031\n6990 8954\n752 12721\n378 14674\n7172 17298\n1753 8294\n4056 9227\n13271 17029\n5342 6259\n11117 17047\n376 6607\n1330 3761\n10094 14839\n2174 13830\n15965 17256\n5206 5664\n7290 8929\n2292 13974\n3642 16754\n12785 14385\n13238 14395\n2425 14836\n12877 13945\n2601 13673\n2797 4161\n8286 9480\n7101 15575\n13916 15194\n5955 16641\n5289 9959\n205 13859\n6017 6673\n837 13915\n1729 8788\n6314 15420\n719 12192\n4100 6357\n7209 14268\n11002 11135\n276 3464\n7745 9640\n2407 14900\n8802 17205\n1564 13624\n817 4632\n6185 16026\n4377 16746\n15214 16723\n9416 16753\n9001 16049\n14577 15425\n291 1121\n7724 14141\n2795 16882\n8298 8848\n3032 8973\n9958 15794\n4253 4480\n10635 15092\n623 4729\n5397 14200\n8544 11095\n4601 6573\n7056 17268\n12673 14169\n6233 12565\n9578 17060\n8355 16516\n8498 16597\n4898 15074\n1464 14316\n11053 12929\n10545 13484\n6051 16128\n130 3136\n11458 14398\n7626 12353\n2494 7041\n7284 12041\n6578 6846\n8582 14836\n12503 14682\n1352 7008\n11038 15399\n299 11159\n2315 2383\n8869 11907\n13509 14226\n722 7640\n6886 8117\n6256 8379\n7439 12025\n774 12707\n1790 11630\n14850 16706\n2952 8784\n709 6674\n5622 12013\n9971 12741\n5754 15970\n646 14357\n2008 15699\n6466 10998\n12913 13672\n11095 12691\n5290 12715\n740 12698\n4346 9454\n13664 14663\n5185 17148\n8145 8440\n2672 15102\n8687 11836\n11459 17204\n497 14256\n6041 6519\n9316 16493\n4948 5766\n5718 7202\n10643 11743\n2460 10047\n2635 15645\n1436 14263\n7405 17428\n1217 1784\n1113 5667\n4058 5732\n5208 6690\n4756 16205\n12596 16943\n6667 12774\n9040 15889\n3563 16486\n7897 14445\n9130 14525\n13349 14463\n902 12583\n5417 16715\n6872 9351\n11205 13363\n4598 9328\n15034 15918\n10278 12722\n11516 12259\n1289 5107\n3227 10940\n7245 11290\n5337 15256\n5206 7636\n3842 13815\n10357 13809\n592 9478\n7351 10017\n5460 14292\n4391 13421\n8339 13997\n3301 4377\n9859 13522\n5586 8477\n628 5085\n9253 14168\n6261 9176\n5443 15440\n8991 9140\n12654 13370\n5621 11475\n3313 6133\n11620 14804\n6537 15197\n7116 10459\n1278 15092\n10120 15558\n10641 15716\n1532 5144\n5894 17039\n1317 2376\n3127 7787\n7473 15907\n10820 14166\n6194 14674\n956 4994\n13752 15477\n4040 14300\n5765 6643\n3909 17454\n202 14543\n12805 12867\n1692 7482\n1900 14404\n5388 10286\n10374 16295\n4163 7995\n2738 5532\n12236 14556\n1907 6038\n6723 12060\n13961 15355\n2927 3162\n3767 16480\n5310 8417\n11033 13704\n1030 4721\n11001 12428\n2028 10404\n6288 8468\n1841 4840\n408 10074\n2455 6489\n4432 7223\n7630 15901\n4226 12185\n1596 6155\n4921 8042\n10208 13952\n4117 7469\n8104 12206\n5685 15745\n4608 4663\n8301 17269\n1942 2412\n10382 14289\n1757 4474\n3517 9012\n8950 15646\n4185 16136\n957 16751\n4149 6457\n10658 11544\n11932 14528\n3600 9312\n3149 17025\n4409 13088\n3286 8655\n3710 14629\n12214 12955\n12393 13690\n9592 15320\n1703 14566\n11445 13731\n7334 9146\n4313 13009\n8430 16517\n4298 4483\n947 3812\n4270 16508\n7100 14668\n2390 9111\n6046 6058\n11986 17291\n15224 16587\n4415 8172\n1620 6493\n2068 4922\n2002 10681\n7717 11810\n4822 6886\n4148 5060\n3751 8325\n513 4212\n3686 13874\n3444 14846\n104 8199\n10350 12676\n999 10964\n8488 14599\n6941 17149\n744 4690\n3390 8465\n7377 8748\n8423 16885\n13088 14350\n13970 16294\n47 816\n10698 16365\n803 4973\n1561 14283\n2046 10287\n9204 13185\n10234 14052\n14161 16688\n5260 14530\n3543 9450\n4044 9601\n1500 13139\n9750 16248\n14166 15634\n5703 5708\n11736 17051\n14227 16357\n6451 8711\n1972 2067\n10689 14933\n13241 13623\n14610 16200\n2086 15927\n7065 11502\n465 3934\n4717 15607\n7821 9534\n3250 7272\n11738 16461\n9392 9402\n2786 15285\n5161 8567\n6246 6272\n4895 7284\n12124 17283\n1176 1964\n6754 9002\n13403 14065\n1486 13522\n3016 7103\n10861 14826\n8906 16535\n233 7969\n7416 13481\n142 14841\n7403 15243\n7702 12017\n2735 7455\n3675 15250\n9272 9591\n2377 10890\n3315 4903\n5753 6149\n4854 14280\n6746 7206\n13603 17087\n3322 10893\n652 13468\n8977 9964\n375 4867\n13248 15975\n595 10224\n9510 10081\n360 5169\n5034 9950\n244 12215\n2505 13456\n6570 12198\n244 2304\n4814 7472\n10863 13673\n13898 16255\n6625 14546\n3454 4601\n243 3631\n3630 14857\n1054 14311\n2719 3662\n3250 10158\n7222 9115\n5313 5752\n6590 8707\n954 13893\n1093 2333\n9343 12255\n3503 14572\n4086 10548\n1028 4194\n73 8520\n3945 9877\n8028 14012\n1842 16579\n910 3682\n7976 8468\n4550 8165\n2059 16072\n7597 11315\n12153 17357\n976 9489\n7400 10960\n5039 14142\n2715 11970\n3115 7388\n11007 12384\n8520 13063\n8010 14221\n2324 16556\n1585 4394\n13259 17289\n5258 13154\n4361 8996\n3861 4977\n6362 14062\n255 1032\n6458 13918\n4718 10364\n979 3919\n11383 13016\n2511 10325\n362 4628\n12951 13234\n15481 17352\n8485 14286\n1741 10177\n10555 17055\n7212 9371\n2001 8842\n3689 7955\n5916 7763\n5948 12727\n14869 16918\n2696 2947\n3432 4707\n2950 14106\n5374 14036\n1394 3361\n10350 10685\n4923 5185\n3759 10647\n1203 15909\n2541 15100\n4534 7838\n13470 16022\n7369 16614\n5222 10383\n13970 14961\n6759 9721\n991 14880\n9724 9809\n1319 12536\n12961 14175\n7784 15497\n3459 6639\n1872 5225\n2580 9358\n637 12853\n4078 10306\n492 8070\n9964 11571\n307 15561\n4977 12436\n6906 9375\n8516 15774\n242 15271\n14185 16992\n12498 13795\n8981 16992\n10957 12719\n638 6839\n9360 14860\n4532 8688\n6965 16987\n8614 12998\n249 8624\n1880 14830\n11054 14938\n12426 13886\n550 6656\n3484 5469\n374 13498\n9565 12675\n5952 8982\n2824 9962\n4979 9073\n7223 11086\n14904 17314\n5301 13232\n1201 6616\n8863 14313\n1941 16996\n6022 11975\n5920 12873\n10079 11514\n3945 9759\n1307 11911\n2802 17228\n385 3843\n6996 8988\n1552 5761\n4532 11091\n111 12057\n1816 8190\n3389 5516\n1590 7970\n3382 16892\n695 8433\n7662 16465\n5292 7924\n2329 4746\n3246 12708\n7437 7794\n3369 12950\n1314 17000\n16377 17102\n7221 8124\n3338 4297\n2372 3905\n3850 15271\n6184 11618\n6090 14044\n13 919\n3604 9710\n10804 15203\n747 3230\n13884 14406\n8026 10886\n5860 11706\n10982 15011\n6829 7353\n1275 8125\n1378 5050\n6427 8525\n1002 13386\n377 11529\n6334 9844\n12853 13567\n14296 15967\n1733 3636\n8129 8801\n4369 4464\n268 13473\n5763 6427\n600 8630\n3772 6830\n8525 13506\n12323 14074\n4640 4901\n7762 13800\n1849 4507\n5060 7796\n2187 10592\n1757 11367\n7214 15773\n7337 8805\n662 11562\n7223 16375\n952 15725\n2291 15033\n3985 9107\n11577 16517\n12855 16214\n501 2132\n1097 11657\n3480 6254\n469 10062\n1681 3537\n8368 12048\n12959 16804\n12674 13302\n3695 10137\n13472 16453\n3426 4693\n3210 16662\n3032 10449\n12542 14448\n3817 15660\n7197 14360\n2549 16301\n2431 6542\n10854 12259\n5029 10714\n3617 6228\n3516 9366\n7222 7968\n7419 15180\n268 16291\n4390 17140\n10134 13192\n188 15707\n81 10702\n1414 9757\n510 3510\n6412 11884\n6 1817\n6912 16175\n2178 12511\n6960 15150\n1885 5422\n8439 15876\n14470 16117\n2139 11782\n14595 17410\n5886 14916\n4865 10610\n11891 12484\n4171 10694\n3506 14648\n53 3060\n16632 16827\n2233 6607\n2006 10580\n2891 7844\n15370 16609\n7735 8804\n1960 15239\n817 7620\n3584 5087\n4793 16772\n3642 4845\n12128 12562\n220 3636\n9576 10803\n5191 10909\n5213 15188\n13751 13997\n4759 17440\n3269 11217\n3832 15614\n1241 16675\n5809 9702\n4867 10748\n743 15797\n6953 11849\n3687 12102\n5740 7307\n10841 11539\n4266 7143\n7861 12741\n374 11167\n3579 13040\n15169 17437\n4717 10044\n2306 14089\n2717 9720\n4590 6756\n11079 13881\n3053 8709\n8023 12092\n6613 15760\n2868 5080\n775 11446\n8358 15871\n3859 10719\n3324 15283\n11538 17126\n3420 8637\n4005 14738\n3981 15247\n2319 11697\n1943 12479\n3117 13363\n10595 12504\n9715 15756\n1657 7565\n4172 15102\n6416 13590\n514 14863\n7011 17007\n2181 8206\n10706 12117\n3208 13336\n3755 14951\n136 15498\n13142 16473\n14851 15338\n511 9560\n2408 12715\n285 11445\n3047 14350\n11298 12228\n4167 15454\n7355 16291\n7438 10003\n5006 14382\n9859 17127\n822 8769\n5827 9550\n227 7642\n4471 8197\n4285 10417\n79 1126\n7249 10684\n6934 10938\n13247 15626\n9844 14858\n379 787\n11834 15474\n1683 3992\n2699 8678\n3568 12024\n16057 17126\n2249 11422\n8500 13553\n5615 13036\n3938 5464\n1717 11413\n5192 15021\n2586 5651\n3712 10175\n5758 17457\n351 10301\n1493 7545\n15896 16510\n3087 11641\n206 3608\n11330 13787\n8608 12542\n4878 17245\n8829 14639\n4611 9567\n10549 11030\n4666 15126\n10101 12398\n4729 10913\n3531 16969\n11033 14005\n412 5959\n3080 15919\n11296 13546\n1186 9118\n2658 15408\n6877 14039\n760 4241\n1953 12479\n1715 8947\n6424 11753\n6588 7166\n1030 14646\n14343 15656\n5701 14783\n14546 16816\n975 8286\n474 9197\n16003 16269\n16185 16802\n6976 16584\n545 16139\n6772 16061\n8993 17151\n1599 5770\n4170 14296\n3378 9747\n1060 11618\n8034 10001\n4581 6088\n7008 8041\n3920 4382\n3981 7528\n2332 16394\n1631 17134\n8087 15251\n5181 6039\n8517 14266\n1106 5875\n13719 14556\n2409 14334\n312 10054\n4722 8978\n8642 9653\n4614 11445\n11515 15363\n5193 11069\n3535 16981\n4032 10998\n6195 6749\n8021 9074\n950 15055\n3877 14770\n9834 12599\n583 8916\n2064 13715\n10492 13045\n9856 12105\n5676 8064\n12650 16735\n3252 5473\n4606 8035\n648 12177\n7257 13146\n631 17371\n12959 16077\n10717 13664\n884 14919\n753 16336\n3622 13596\n5292 9930\n7807 14356\n3620 9093\n4758 15508\n1079 12271\n7575 14302\n461 7116\n8115 14903\n13381 14324\n127 10318\n6917 10296\n315 4644\n1398 15455\n14237 15672\n1032 7688\n13156 16818\n343 6043\n2709 13303\n1320 3213\n9476 14429\n8189 12746\n13006 13823\n1158 10945\n1894 13271\n10793 12638\n13018 13683\n7319 10639\n11758 15614\n8350 12603\n5998 12662\n11431 14291\n2297 17133\n4476 16855\n1728 8212\n69 7656\n12603 12616\n4786 8877\n3223 14767\n9466 16698\n9189 16247\n7049 11962\n2227 6213\n11280 13914\n4958 6191\n5079 15133\n8328 12679\n6099 13212\n2018 9830\n2411 10364\n8254 9686\n1640 13852\n3613 15602\n7324 7402\n10196 11958\n7983 17328\n2171 12486\n639 14016\n2479 16640\n3616 12097\n13262 16229\n10813 14810\n2343 15452\n6346 10701\n771 11696\n6789 10719\n5867 15058\n3115 15552\n2049 14751\n2096 5794\n2574 10925\n627 17136\n389 4513\n2346 13666\n2768 5655\n4016 16426\n2889 7368\n6200 8663\n7218 7349\n1005 8472\n752 16434\n2040 7745\n1158 17042\n8855 11965\n3136 7944\n14101 15172\n7777 16090\n181 16188\n12338 17426\n2225 11876\n2489 6477\n272 14258\n5850 10735\n321 14190\n2924 6269\n9524 11816\n2830 7563\n4933 6620\n14342 16612\n7498 9927\n3648 4575\n4762 16281\n2062 2543\n8319 11773\n9190 11523\n7923 16509\n11175 16279\n6774 17432\n5852 5972\n1097 12731\n3326 9563\n6137 8304\n9779 13164\n8780 8942\n1784 13642\n7638 16651\n748 8735\n1498 14906\n603 1526\n13097 17343\n5548 9106\n8306 17160\n900 9580\n6158 15057\n2963 16244\n1294 8616\n8601 14507\n562 4343\n742 4712\n8817 9729\n2789 16544\n10857 14705\n11811 14959\n10948 16536\n5372 13430\n13 6337\n3458 8205\n6996 12716\n3535 4690\n312 11633\n6865 7039\n9399 14431\n916 3041\n10777 12049\n3419 15336\n7801 12220\n3112 13164\n2139 12791\n3990 12604\n674 17003\n7773 16845\n10296 11604\n1709 10202\n7965 16017\n448 3472\n7009 10558\n381 11250\n650 11448\n12111 16157\n5388 15274\n10668 12399\n2901 5545\n1944 12024\n8421 13132\n3737 7863\n7056 12904\n9862 16033\n6939 7997\n13663 16866\n5459 8886\n2935 13681\n7149 11089\n1640 10107\n4632 5097\n805 10648\n198 5518\n8374 9679\n8284 13671\n4417 6445\n2335 10315\n2818 3444\n36 1477\n4486 6729\n2234 5607\n9596 9909\n630 8325\n7088 14126\n16028 16840\n14865 16737\n5857 9638\n1978 16945\n3851 8865\n1272 2282\n3227 16222\n4597 12202\n84 3017\n10477 14814\n4512 13581\n7222 11639\n8571 14033\n167 7915\n654 4622\n15150 16964\n5398 15658\n4525 10921\n2658 4558\n8417 15275\n5022 7056\n1548 12871\n11881 16557\n14929 15683\n438 6728\n8106 10267\n3772 15673\n2929 9902\n5107 9754\n13886 15565\n8281 15605\n4528 8033\n7449 7529\n68 7128\n8536 8912\n9209 13330\n4196 16923\n9216 12563\n9475 15503\n5217 12326\n5566 11685\n4369 12324\n13492 14755\n12441 15464\n8671 10194\n77 11912\n4418 8249\n3995 10048\n741 6875\n4609 10272\n8118 11453\n12439 13818\n735 15143\n3441 15189\n551 9392\n2654 11073\n5094 10883\n12802 15518\n4536 16229\n1889 12458\n1156 7051\n6875 12363\n2419 12115\n9256 16684\n5044 16145\n10794 12445\n4637 9756\n4849 13115\n7395 10477\n3229 7368\n3220 10014\n13043 13945\n2529 13870\n2133 7533\n252 12655\n8672 9069\n6250 15730\n2474 15967\n2808 8020\n3461 4851\n6791 7096\n11648 16207\n11040 12423\n8273 14311\n5033 6382\n4009 14546\n8868 10242\n6513 13299\n2185 13775\n2717 9249\n11734 12669\n14447 16450\n12131 12425\n11573 11734\n1911 12935\n2748 4815\n7007 7732\n4094 16800\n11151 17190\n15185 17447\n9534 15869\n1412 15848\n6731 9327\n2208 7200\n6640 14516\n2332 4712\n12867 13958\n1457 5183\n1758 12283\n445 16315\n2594 5312\n11974 14184\n12276 15666\n11850 12420\n10139 14326\n3523 13148\n1191 10436\n1378 14718\n1865 9909\n6677 17376\n3147 9282\n465 8165\n10547 16367\n9477 11929\n668 8258\n14270 15401\n4457 12930\n3082 13764\n6294 6679\n1280 12591\n7586 16568\n12541 17179\n8280 10991\n895 6998\n2479 12874\n2730 15462\n6111 11866\n6342 6721\n15769 17375\n2622 15896\n4530 15000\n2475 12037\n5898 16530\n10852 13592\n10288 13517\n1848 15903\n301 15034\n4777 6739\n2611 6390\n6358 9870\n12082 14930\n2403 3602\n9606 17016\n8842 10209\n4769 13218\n3505 4226\n1524 9748\n2337 15849\n5140 14614\n12 17313\n8828 14797\n4316 7996\n1756 7608\n7554 16720\n2898 7775\n1182 3948\n8469 12595\n5356 7786\n9580 12484\n6810 14690\n676 14679\n7633 9623\n1272 3784\n13865 16562\n536 12659\n15229 15713\n4972 11686\n5016 5224\n8228 12517\n9019 14594\n6302 7080\n539 6392\n3018 12855\n13472 15240\n257 6236\n4853 6768\n515 13954\n11471 15169\n2412 6040\n16927 17008\n6920 8524\n12689 14306\n3054 9672\n132 2242\n3684 16813\n8446 11456\n10189 13045\n5470 8619\n4549 11173\n5902 15327\n8726 12257\n4975 15561\n7079 13668\n4648 8289\n8803 12156\n7785 11548\n13542 14251\n7365 15415\n3259 6630\n2026 5559\n8176 11602\n7727 16628\n8963 11178\n2885 3335\n6689 10417\n6249 11580\n5911 6033\n7266 16563\n14192 15733\n2137 16460\n8474 16643\n591 7225\n12762 14072\n335 6591\n7870 11658\n488 6820\n581 8118\n9007 15918\n4338 4856\n11267 14747\n494 15734\n6942 13018\n11746 13833\n12082 12186\n10180 13811\n4395 8813\n3 771\n7645 11589\n1998 12003\n9960 13501\n10275 14987\n1897 12973\n452 11296\n8656 11630\n13500 13514\n9190 12588\n1269 13969\n7205 12336\n14838 16507\n7657 8598\n4843 7654\n7454 10660\n15168 15971\n7201 15136\n371 760\n534 16369\n3791 7323\n11854 13792\n3253 4906\n6156 11897\n2315 8667\n1268 7341\n15736 16197\n3053 14799\n3433 12770\n4880 14428\n13530 13723\n12188 14187\n6548 15997\n4103 4129\n7163 11947\n2194 14982\n813 11935\n3507 9562\n972 5921\n4865 11637\n14599 15675\n163 9763\n4678 14679\n328 1251\n2764 9697\n6390 9130\n7680 15244\n4347 8413\n5354 9555\n13811 15972\n8231 9994\n10722 12507\n3797 5182\n1160 16304\n298 11747\n1614 12326\n7787 10265\n15381 16824\n12154 13850\n4737 16084\n9814 11944\n7024 15086\n14953 16231\n5968 11890\n4447 13501\n2553 10387\n4575 8346\n1320 6742\n6703 16453\n187 222\n10386 10969\n459 15521\n13503 15205\n9133 14070\n2404 2637\n4703 7984\n12166 16241\n7655 16050\n664 8265\n2838 11651\n5782 8593\n12319 16511\n258 2393\n6410 10063\n735 4763\n15825 17372\n4593 8394\n2560 9873\n4589 12384\n3324 12154\n9341 16307\n14395 16694\n6342 6399\n10969 14377\n8071 14327\n12217 16609\n1499 11980\n8128 16281\n164 13443\n254 16265\n10017 11372\n5770 9553\n3908 13707\n6420 14417\n14243 16830\n2145 16735\n8085 10992\n11778 14508\n5687 12307\n4150 14390\n6808 14815\n4446 10245\n1044 9402\n773 1573\n7590 12648\n7359 12774\n2215 16164\n730 16961\n647 5318\n2365 5734\n2108 16949\n2555 15258\n10171 12685\n6855 10770\n6221 12310\n1285 3878\n3246 9671\n6178 13163\n9013 14383\n747 2330\n4320 6299\n12991 14863\n6133 11196\n5778 9035\n9417 15737\n3605 5881\n11874 13287\n2948 5631\n10944 14994\n5334 11957\n3482 7427\n3744 12387\n3881 4365\n7933 10911\n8982 14550\n1594 9300\n9781 16526\n2676 8804\n3493 13163\n1026 1464\n2577 9020\n4483 8697\n1261 10606\n100 8391\n9015 11177\n11091 12749\n2115 4510\n865 15549\n6560 12307\n4506 10444\n14923 17382\n4194 4205\n2151 12812\n3277 8969\n8980 13324\n9229 17424\n3305 14138\n8846 11557\n5669 9720\n2508 8097\n1528 5375\n8396 9128\n13701 13835\n4031 9211\n309 16379\n3806 10412\n1039 10633\n5546 10064\n2184 10678\n5746 7632\n5529 6263\n1300 14520\n5214 15942\n5329 17169\n308 12391\n4883 6178\n2372 14428\n6262 7092\n535 3736\n2613 11284\n1921 3634\n5259 11875\n10455 15040\n4068 9701\n5924 15252\n11793 15191\n2410 14794\n11997 13620\n6305 14824\n5846 13947\n2590 11860\n2701 9623\n8449 13780\n7854 14070\n4982 6730\n5198 11933\n2991 4051\n11386 14100\n13989 14179\n1824 3925\n3188 10569\n10601 15771\n15648 16851\n1978 5330\n3466 17249\n4213 15803\n7357 7472\n3573 15162\n6511 14631\n6765 9747\n12213 14867\n5774 16303\n12549 17257\n4256 5486\n12954 15434\n3758 9509\n10891 16022\n5461 10118\n328 16242\n6899 12290\n1083 2781\n4068 7352\n7476 15469\n10842 12628\n6057 10248\n2188 10853\n544 16206\n9668 12939\n3788 9636\n571 1743\n4890 5218\n2376 8131\n10074 10337\n1826 5115\n4840 9883\n6591 15456\n4730 10416\n875 4823\n10143 11770\n6848 16486\n945 3911\n5671 15568\n491 12268\n11406 12985\n10149 16435\n7574 13596\n6041 15033\n1621 13121\n7340 16391\n5157 6035\n14300 16200\n1925 9820\n3822 15562\n49 14613\n6329 17375\n5013 14733\n7306 16944\n13224 15850\n2518 7550\n618 9417\n5 9025\n143 7412\n2409 3912\n12524 16373\n1449 14650\n1222 15796\n6376 6985\n3647 3715\n4674 14418\n13445 14280\n555 859\n4698 9786\n2551 5343\n9060 16939\n8112 8962\n2646 10718\n10975 12411\n1018 4147\n6359 12766\n5243 16053\n5422 7338\n3277 10145\n991 10410\n10739 16528\n4166 13363\n6434 11997\n11766 14541\n1501 10744\n6840 16361\n5358 11927\n4624 9816\n206 1167\n8400 14599\n12319 13643\n5180 10566\n7794 11539\n9623 14871\n12177 14930\n7552 10998\n3458 8435\n12192 16399\n3936 13988\n10707 11217\n2833 15814\n2793 10740\n3549 16468\n366 4930\n7764 12465\n8775 12549\n10343 15353\n4304 7783\n4850 14120\n5388 12666\n1911 8346\n134 3078\n2853 7501\n11207 13674\n14524 17260\n16921 16927\n4495 7757\n6297 6672\n1730 16453\n8482 16766\n4337 11976\n3826 3877\n2783 12236\n4269 7248\n4171 13249\n967 2476\n13401 14979\n2608 16708\n12867 14242\n1345 3668\n12403 14574\n9118 10361\n7514 7762\n4786 16487\n2366 13379\n569 10036\n6570 10532\n4104 5049\n283 4451\n5916 12551\n960 4114\n6703 9473\n7575 12589\n4181 14318\n5901 6367\n2876 9508\n4021 16001\n5234 12795\n7126 7220\n10574 17089\n11132 13912\n4634 6247\n8633 13856\n85 15155\n5516 12371\n2335 9238\n7871 9364\n15821 17022\n4660 11922\n3837 15809\n9296 11624\n9273 9616\n12865 13305\n4654 16330\n816 8298\n4357 8473\n7281 17402\n349 15425\n1229 10808\n7150 11468\n3276 12799\n8015 10569\n9463 10085\n6709 14537\n2663 14159\n12447 15691\n3959 10305\n5056 7632\n9724 13845\n1834 2580\n12902 14759\n2176 11121\n12969 14303\n2810 3944\n8250 17056\n4855 7996\n1069 5927\n4923 6824\n4473 4786\n190 2296\n127 9680\n6641 8756\n3502 6709\n1829 3664\n1849 7351\n12433 14432\n7421 16551\n8221 14878\n1409 7393\n8774 12500\n3977 8200\n3043 14740\n648 14219\n978 1683\n3222 8457\n3926 7136\n3957 7588\n4026 11197\n3529 16890\n9875 13686\n2250 12532\n5869 16379\n6328 15204\n6242 14110\n3687 9713\n3728 8225\n10186 12209\n12074 12586\n3440 8639\n131 11468\n9384 12569\n800 12643\n2947 14979\n2966 8637\n9880 10875\n3691 9793\n572 8505\n783 15266\n8268 12765\n8017 17275\n44 9899\n2998 3856\n3038 15723\n9818 13091\n2078 7264\n489 15270\n3846 7934\n8048 10279\n9411 10878\n8048 14210\n7071 12571\n3893 5431\n10604 11368\n4098 16590\n5028 13540\n2642 7907\n14283 15583\n2780 7781\n4664 9027\n39 4601\n5162 15743\n14157 17033\n7061 12332\n9960 13715\n273 12092\n924 11852\n4052 15075\n1062 9509\n14366 17424\n8602 12606\n9094 11097\n2891 8262\n2711 9580\n2743 5226\n7816 10847\n2167 9221\n830 11404\n2773 6802\n1158 16783\n5108 7286\n2398 13245\n10426 17011\n13587 16131\n12474 13779\n12998 14600\n312 5532\n12960 13977\n7 3747\n1528 5720\n7555 16793\n2221 11497\n6636 17257\n8662 9769\n750 6636\n10519 16038\n672 6614\n42 7166\n8314 12848\n7182 10868\n44 5044\n12440 12692\n1960 10868\n15568 16907\n3269 11068\n2188 15995\n1062 9784\n1590 2773\n139 10613\n1447 11256\n1807 14627\n7869 14616\n7290 12847\n370 8840\n2883 6383\n281 9599\n5036 9155\n13449 14748\n5872 8351\n10764 14972\n9061 11089\n4876 8478\n4191 11773\n1821 12535\n979 13904\n15753 16075\n4472 13657\n11005 17425\n368 8978\n11894 16004\n11976 17315\n12954 13315\n5442 10703\n4800 9466\n13125 15198\n4434 13499\n1137 13910\n1550 2074\n5751 6821\n7212 16280\n7442 9057\n14609 16150\n4076 14562\n9579 12090\n12459 17390\n3503 8809\n3036 7340\n5079 6368\n10104 10572\n123 5502\n7940 8442\n328 9242\n9997 13609\n5099 7081\n1505 10169\n2033 3781\n4170 10714\n2072 15400\n8454 8756\n11338 15117\n5411 13535\n9029 16638\n3659 5350\n6105 16185\n14547 16966\n4807 14340\n8626 14978\n4913 9953\n4414 17105\n6553 17139\n5683 6746\n1553 6568\n8748 13117\n1696 15708\n4146 15554\n5202 16393\n8094 11818\n6821 12318\n1793 3371\n6503 15768\n8254 8444\n5160 6560\n1164 14453\n5753 12391\n4999 8485\n223 15958\n101 2962\n2132 17070\n4207 6600\n3729 13500\n4754 11232\n161 15187\n967 5679\n3168 12554\n2157 13029\n788 8942\n5866 15936\n9956 13814\n1834 16813\n2035 14166\n12144 15300\n13946 16024\n2459 7634\n1814 4720\n2800 8100\n973 6843\n2322 5804\n4282 12704\n2531 10194\n165 12249\n6241 16424\n6203 6641\n12102 17022\n615 2288\n3332 7293\n5563 11416\n11091 15928\n6569 15142\n4853 7031\n2393 11313\n10541 15510\n4362 4370\n2933 3056\n14125 15543\n5454 14842\n1504 13915\n13168 14366\n4800 6263\n12405 16683\n6651 13188\n1069 16703\n4723 15515\n8685 11421\n6644 13234\n3312 14858\n4770 11746\n9320 13297\n5117 15774\n469 11526\n14538 15177\n6859 12161\n7048 9552\n1822 5856\n7230 10474\n12808 13909\n1989 6748\n9973 12374\n1531 4211\n2960 11945\n4516 14223\n7598 16680\n1114 4694\n1101 9165\n11945 14906\n11995 14170\n4035 9524\n13712 16773\n1926 13380\n721 982\n5221 11116\n2269 3087\n15006 17266\n4470 8938\n2798 3159\n6051 16640\n10842 17212\n5754 17428\n4331 10662\n481 5724\n12486 13964\n7680 8571\n2920 9575\n3933 16202\n10198 14047\n5137 16314\n475 1580\n1003 6855\n8863 11294\n2857 17333\n1796 15114\n10576 13964\n7052 14286\n521 5184\n2943 10167\n9560 16828\n15873 16060\n12406 17261\n11447 16067\n10477 11288\n9794 16182\n5318 5373\n3238 14218\n6069 16603\n13942 14802\n8898 15308\n1570 1815\n978 7140\n11844 14647\n4865 8843\n931 16212\n3886 5248\n2135 3841\n12323 14464\n1245 5856\n254 3531\n14754 14961\n3661 5078\n2324 6437\n5016 5913\n12217 14213\n5981 17269\n1129 12704\n5430 9255\n5818 9109\n7212 16960\n7999 9682\n6970 13878\n1908 13579\n4795 6850\n9917 16159\n6556 10532\n6148 14581\n13092 17155\n1796 8955\n10009 17039\n5395 13247\n7621 9899\n1985 3927\n6260 7129\n6446 7743\n7810 13444\n8992 16360\n6397 8720\n4626 6132\n672 1649\n1978 12356\n6808 13249\n11284 17086\n4370 15001\n10471 14029\n2333 5310\n1528 7396\n9900 15166\n3129 4230\n6021 9641\n8946 13264\n9632 11842\n2170 16113\n332 12966\n1810 2244\n7158 13138\n5270 11888\n184 12011\n7250 14744\n5998 7357\n4748 14073\n505 6024\n251 7328\n7852 9285\n473 14287\n1839 3173\n4294 17053\n1363 3802\n8419 9567\n6390 10820\n212 382\n5395 10119\n5774 10181\n76 6494\n2835 6495\n8034 10199\n1938 6811\n3248 8445\n488 12640\n3399 10766\n7716 14616\n1888 10383\n9635 14397\n13252 17399\n5372 7874\n9048 13201\n2058 5186\n793 11430\n7079 10664\n15865 16540\n3672 7312\n406 10813\n4424 7945\n15210 16937\n935 11280\n5956 6884\n1341 5998\n7520 12195\n219 16323\n3628 15682\n3103 15514\n7064 12854\n3483 14536\n14377 17209\n11386 17307\n7445 10789\n1332 15098\n13297 14118\n8266 11275\n11318 11514\n10512 17146\n7377 15153\n10757 16388\n7214 7650\n1433 10514\n6594 17209\n12005 12740\n3164 8097\n13063 16947\n7233 11862\n10117 10465\n6465 14809\n7843 8151\n2448 8116\n11869 14821\n6157 12107\n9957 12954\n848 6837\n156 3175\n7607 16742\n5484 14000\n7563 7763\n879 3891\n103 1806\n6915 11388\n11024 13870\n6375 8841\n470 15761\n3771 7476\n10689 11073\n10573 11452\n15460 16344\n2324 6355\n3859 7227\n6567 11102\n9876 15656\n2533 9617\n13600 15301\n8720 13739\n7335 13888\n329 7783\n3 12629\n3735 6666\n4965 10312\n4082 13368\n3107 3328\n6884 8265\n7075 16856\n1248 5902\n6557 14883\n3901 13494\n8685 15621\n4114 14150\n8146 12348\n2237 8439\n4998 6908\n3829 6195\n3265 11308\n3256 13046\n5622 10139\n11484 12048\n481 10534\n13651 14893\n3097 15855\n11157 15675\n1787 14958\n1849 16519\n8959 10378\n7664 7771\n5844 11710\n490 882\n1391 9352\n11245 13399\n4696 11398\n2587 8467\n3243 6682\n6866 14778\n5415 7334\n3864 6174\n5681 13160\n7077 11524\n4604 6773\n1602 13961\n5418 11831\n755 4344\n1527 14429\n3234 12977\n480 8059\n4753 5094\n7213 12239\n4970 10708\n2036 16144\n10013 17409\n7177 16776\n82 1704\n8267 14670\n9898 10619\n1901 6874\n7603 12451\n4025 8645\n13562 14843\n5826 11039\n12050 13460\n3832 12157\n8195 17151\n2928 5385\n7277 9258\n5212 12256\n6744 8458\n2502 8527\n3213 7562\n2108 7751\n12862 13621\n3599 3995\n11329 16105\n3900 7150\n13125 15180\n1176 5657\n3975 10018\n6032 15615\n5898 12459\n8708 13938\n8590 13831\n6993 7335\n14058 15195\n1681 2004\n9181 14275\n4544 11177\n2112 15188\n6519 11402\n59 3053\n16231 17044\n15281 16767\n868 11372\n10266 16267\n5739 17384\n5186 6281\n12201 15172\n11150 14139\n4144 14242\n10341 11045\n7882 10105\n14067 16388\n8132 12786\n10329 17416\n340 12333\n12707 13787\n8659 17146\n5464 13396\n5557 10114\n11230 16645\n8608 10055\n6265 15614\n3246 16319\n12166 12349\n800 15706\n7495 13788\n6060 14953\n528 16616\n7551 10548\n3259 12980\n1037 13103\n1821 14696\n5710 5875\n9423 13484\n13310 16498\n81 4438\n7130 10826\n3347 12407\n631 14480\n2318 8096\n5126 7409\n1350 13966\n2384 15623\n2521 12655\n10693 17229\n11807 16143\n1775 6310\n11399 13308\n1907 11488\n7447 12930\n2205 11480\n16379 17452\n7987 14462\n5186 9912\n2536 8256\n2277 8427\n5578 15030\n2571 8978\n3742 8875\n5052 14844\n7449 9684\n408 6194\n4594 6303\n2971 14351\n7846 15192\n3457 10046\n652 13521\n10183 10879\n2999 14275\n4256 16221\n6975 9932\n4126 15725\n3483 4145\n1986 5738\n6340 10038\n12432 16270\n8605 12948\n1526 2623\n7206 8013\n1312 9076\n2425 15614\n1956 9020\n11936 12245\n16466 16999\n5178 8425\n9198 12664\n280 17092\n1230 15099\n7951 10174\n4912 16178\n1319 10571\n8106 13619\n2423 7171\n3174 8864\n834 11234\n6505 15611\n3941 8162\n1249 12894\n5982 12627\n8065 12271\n3162 8008\n7802 16075\n7827 10876\n5941 12268\n1322 1490\n4409 12135\n4265 14307\n15457 16517\n3622 12777\n892 5233\n4068 8299\n10401 13257\n8412 10916\n2491 10308\n1967 7247\n9601 16906\n15114 16271\n19 943\n6136 6524\n1958 15991\n9253 9721\n6988 14068\n104 6897\n4393 7758\n7092 16514\n556 9166\n3793 16233\n906 8590\n2919 11211\n7989 11568\n8349 11288\n7525 12695\n4378 11908\n10740 11213\n762 7870\n7352 12592\n6567 10015\n5641 5666\n9629 11630\n8129 9087\n2509 4704\n5198 12752\n7738 12002\n13234 15672\n239 1912\n2159 4289\n11579 11693\n4086 5855\n5362 11356\n1698 15455\n7279 10770\n6162 17419\n9162 13182\n5414 17247\n12520 13376\n7365 9714\n6594 10678\n738 13887\n10255 12229\n2779 7529\n4147 6753\n2726 14339\n1304 3488\n11790 17242\n1681 13225\n1018 13054\n7703 15117\n2451 15394\n6777 8334\n4130 9626\n2676 16715\n9796 10761\n3322 17259\n8141 16837\n1851 6468\n4940 15462\n218 7393\n6219 14326\n8400 15170\n4642 7062\n5489 9520\n894 2826\n16085 16240\n394 10122\n5089 17331\n239 271\n2972 6998\n13841 14067\n9580 16353\n14241 16864\n3318 14764\n5096 15043\n872 14150\n5286 11657\n1839 17459\n2889 14531\n2747 10555\n1583 16161\n1462 15071\n8902 17458\n10344 11787\n6430 14690\n6441 15523\n1873 9561\n7660 13954\n3189 9665\n6628 14514\n7042 15446\n9479 10569\n2153 10537\n2766 16453\n1565 4185\n10773 10846\n1490 10892\n5205 10032\n3736 12787\n2182 9417\n12131 15235\n5909 10942\n4031 5916\n2398 16491\n8853 12929\n4750 10260\n2113 12431\n16235 16778\n2887 6926\n9183 17198\n7037 8774\n2699 16854\n10334 12318\n7489 14161\n219 3239\n2636 14061\n1636 10495\n600 4791\n9401 16046\n795 16881\n8256 15716\n2738 10829\n7287 13725\n1755 6453\n3206 15254\n4427 6129\n10963 13838\n1121 8321\n11168 14284\n7105 12354\n4215 4956\n7398 15046\n13494 17245\n5991 13350\n3190 17257\n7208 11860\n9216 11086\n6717 14809\n14336 17419\n8335 11154\n5021 13339\n12130 16345\n1390 10769\n4813 13884\n14866 15533\n1061 3016\n202 17277\n1088 13353\n4832 17092\n6638 15123\n552 14028\n2828 5190\n1750 16828\n561 1305\n2294 16019\n1482 5677\n8311 13858\n6456 13609\n5547 13645\n9917 17461\n211 11607\n477 5968\n6277 15365\n3739 8159\n16405 17164\n230 8054\n1230 10587\n8314 13412\n6970 14278\n11275 13056\n5309 14992\n5613 9068\n6167 6836\n12870 13930\n6114 10772\n9164 9237\n2503 7938\n2251 14717\n3744 6254\n198 2541\n8649 15039\n1685 8808\n145 11218\n1764 8615\n1920 3745\n456 14008\n5955 15161\n4553 15018\n9893 16747\n5993 7019\n7917 11069\n4146 16366\n303 6588\n11029 15946\n7669 7932\n6064 14590\n5691 10430\n12102 15027\n1378 15501\n1222 3675\n7994 11751\n584 7311\n3394 17044\n3862 16171\n7066 17084\n5139 8138\n4011 13525\n13584 14652\n1100 1926\n3422 13730\n3127 6540\n189 6652\n3392 15639\n10254 16702\n945 6047\n482 8493\n1632 13563\n1125 2274\n6586 6676\n7025 16003\n1779 6018\n12171 13778\n9770 10717\n3410 9085\n5843 14063\n3484 9759\n5829 15164\n9354 13276\n5917 11358\n7193 14981\n244 10414\n8195 8581\n5343 8547\n2533 11543\n4421 9664\n3189 3651\n2815 9134\n1203 1223\n2720 16626\n7377 13404\n7330 9979\n9239 11563\n10204 12712\n3351 17198\n1640 9060\n8492 12010\n1726 15718\n4573 13892\n7965 11945\n9617 15666\n2522 14710\n599 4241\n7888 14912\n3531 6280\n1106 9447\n10504 11807\n3556 14253\n4903 10217\n3001 16923\n4399 8313\n5306 6304\n6146 13511\n3497 9416\n13769 16454\n875 892\n974 17105\n7079 7263\n5717 15321\n1582 14812\n772 16860\n1018 12067\n1773 14543\n7164 16936\n10046 10492\n49 7962\n10772 12237\n2395 14321\n5914 14113\n7718 13652\n1222 3684\n539 2116\n7636 15650\n102 16803\n4741 13098\n10110 16776\n3769 17386\n4977 5801\n1345 16021\n9995 11330\n1498 8731\n183 15814\n673 2469\n11996 15175\n6433 12384\n9420 15696\n1963 15050\n14257 16857\n2400 15271\n9005 14831\n707 3631\n447 4378\n5659 11401\n1052 12828\n2134 8017\n955 1716\n7553 16787\n8249 17028\n10922 16516\n3118 16106\n16 1925\n7441 16108\n6753 9471\n6682 10946\n5291 15261\n286 15557\n958 8519\n5124 14364\n6946 13219\n11257 16647\n3893 5642\n17033 17038\n10032 11339\n6273 15338\n3461 10927\n8024 12423\n4125 15370\n8044 16977\n1958 4125\n8546 11363\n1000 13763\n2819 11551\n4592 12917\n5602 10133\n4606 12004\n9432 11533\n2818 12172\n3260 15462\n10094 12730\n6789 13103\n12783 13926\n10366 14356\n854 7966\n1197 6503\n2085 9511\n2756 7306\n5033 10067\n2632 11520\n2471 8591\n101 16386\n6616 11282\n6795 10465\n8187 15689\n1051 13562\n8988 14243\n5150 14839\n566 12338\n2663 8282\n9921 13456\n5411 17331\n4355 12240\n5922 7619\n2140 16951\n6667 7336\n6223 16237\n3097 15971\n296 4059\n2903 8546\n9340 10695\n5445 7001\n2887 4981\n2050 3301\n10480 15836\n4816 11722\n3670 3939\n6156 8826\n7302 9080\n4759 13611\n1719 8163\n14605 15042\n2014 6311\n8548 9903\n2667 8262\n4486 7423\n10304 16912\n4229 16152\n907 7836\n7840 14683\n6108 13266\n7749 11812\n3116 16994\n3326 9666\n11058 15685\n1208 15644\n2051 5991\n1732 16355\n891 11499\n12504 12968\n16008 16748\n7192 14413\n8702 11074\n401 6651\n7140 14737\n1423 12444\n9370 10349\n4552 9794\n9026 9029\n4250 16632\n7896 10614\n1227 13167\n15135 17119\n12559 12588\n12272 17026\n4582 14952\n2017 10507\n8800 16405\n4740 13974\n11573 15971\n7905 12358\n7570 10255\n328 14135\n591 2486\n9626 17189\n6858 16397\n1576 13019\n12376 15451\n13143 16344\n4786 14596\n9087 9948\n2000 8203\n3969 11601\n5426 7655\n7564 15990\n11074 13318\n5132 11229\n9432 12895\n3527 15251\n303 3854\n6833 13491\n648 4981\n11182 13049\n4430 15873\n246 742\n1139 16253\n3241 9028\n5216 11628\n12187 15027\n9090 12857\n11372 13420\n376 6079\n7405 10078\n981 7633\n2703 16482\n8126 9674\n2654 12240\n11996 15840\n10034 11688\n1193 16753\n4261 12175\n3219 13036\n1292 6680\n12803 14277\n11645 13941\n1815 10970\n13193 14535\n1820 15887\n7240 10769\n13760 15442\n4032 11766\n2569 9408\n5118 11952\n11607 15609\n10523 16318\n2863 8311\n7910 16437\n8031 11056\n4743 5574\n6740 11479\n8311 11437\n11303 11600\n2863 11586\n381 13107\n7783 16346\n9593 12445\n636 1868\n1055 2559\n9387 13096\n7597 14293\n7359 7421\n68 9329\n1740 14174\n2410 3267\n11163 12199\n3383 4678\n382 16236\n8834 9585\n4880 7796\n7361 15767\n551 15379\n8911 14851\n2705 3276\n14327 15763\n58 14280\n11165 12084\n2871 15204\n12402 15317\n12883 16293\n6251 8429\n7534 8294\n7627 11769\n5041 9987\n10465 17268\n1206 11367\n6 14873\n1488 16381\n1219 7200\n12401 16346\n264 6819\n5954 7370\n1048 8039\n6460 14567\n10782 14986\n248 4512\n9961 14968\n322 10363\n8046 16644\n1352 2072\n7052 17151\n2593 4153\n8161 9422\n5920 8228\n1518 4407\n3620 16363\n10034 14888\n15 12950\n4235 11207\n209 16615\n2462 15927\n1599 3306\n1818 7392\n4181 14024\n10552 14287\n11615 16750\n11050 15719\n12027 13569\n3517 15719\n1572 16421\n4487 10047\n5741 8550\n2354 3844\n7013 10198\n39 6694\n5206 7606\n1890 15328\n11265 14230\n5141 10983\n14768 15816\n822 5452\n4475 15570\n1755 11808\n3426 3703\n11874 13695\n8957 13151\n2684 6753\n15202 15907\n10754 12775\n1060 13945\n14623 16856\n11532 12896\n2558 13425\n1375 9066\n2016 2741\n9987 15968\n10280 14863\n10384 10988\n3628 15568\n11329 14996\n5840 10595\n11819 14715\n2087 15532\n655 1124\n11522 17273\n3205 8090\n7249 15320\n2753 13357\n4468 16719\n2365 5736\n6051 9375\n11596 12540\n1004 17111\n3684 4001\n13130 16044\n4245 6880\n5259 11916\n6818 7847\n8151 14616\n5432 8718\n8627 11198\n16769 17303\n11172 15371\n5970 8453\n13037 16511\n8574 14933\n11065 11635\n6435 7431\n5861 13661\n9761 17059\n14917 16872\n3389 4354\n5123 14259\n4670 13636\n13135 13990\n6605 8120\n5314 7209\n6511 10503\n6039 17149\n2122 7356\n7259 14397\n6998 16387\n8313 9983\n2139 17326\n12730 14105\n3440 5017\n15488 16497\n6357 9950\n4110 15579\n7441 7953\n2126 6720\n10939 16384\n5825 15240\n2957 11608\n5927 6345\n595 6184\n8548 13668\n6541 14245\n9144 16163\n12791 13771\n16778 17081\n6135 6154\n2997 11445\n183 12310\n5458 5728\n8641 17271\n2326 14174\n3913 10239\n7932 8031\n5494 10142\n2702 10285\n3270 13782\n9320 15611\n8000 15005\n214 1703\n1264 8191\n3553 6074\n9560 11925\n11783 12356\n772 14878\n594 13829\n6158 9308\n8417 11614\n1878 16554\n6527 16236\n11833 12574\n6955 9530\n7030 13854\n4976 16227\n10355 16380\n169 12001\n11060 11098\n4519 6292\n11965 13287\n5769 9400\n3926 8555\n973 15072\n647 13586\n2061 5256\n6866 11197\n2173 12084\n971 5749\n1539 12241\n11807 13956\n9828 13688\n6860 13952\n2466 3546\n11120 11891\n3583 11399\n10695 14692\n4617 9463\n1036 4202\n9317 9535\n5132 12841\n981 12720\n14517 15890\n9396 10679\n3294 13224\n7165 13622\n9919 10531\n1640 15932\n851 16364\n11880 14961\n13287 15705\n9123 12833\n6448 11083\n8657 14051\n276 13695\n7258 10467\n1919 3965\n13038 17415\n4106 10024\n3545 11281\n2996 10924\n1600 3846\n3951 14439\n1845 6940\n3365 17165\n341 3543\n14083 15805\n3083 15115\n1584 2566\n10353 16529\n5587 5674\n2363 11744\n5201 9113\n437 649\n13967 16175\n3318 10241\n2716 3639\n7546 17381\n217 13324\n875 4277\n4867 16391\n6588 17458\n7483 16554\n6241 8038\n10269 11121\n5245 10123\n183 545\n10607 13977\n13338 15067\n1451 7895\n2743 14689\n6569 7118\n4760 12897\n5158 7059\n2555 11933\n14892 15254\n1631 8563\n631 11707\n7661 14305\n11435 17406\n8266 14569\n2227 5513\n1798 8950\n9590 10518\n11757 16809\n3126 5273\n6660 7982\n6862 16592\n10169 12120\n4920 11309\n1189 11131\n4513 7227\n5465 14645\n15441 16195\n12019 16519\n11478 17392\n4462 7943\n5546 15083\n13874 13967\n8140 15654\n12633 16331\n2668 12201\n4825 13190\n6765 14285\n3386 9705\n1657 2690\n862 4404\n2124 12477\n13462 14446\n13567 13683\n334 2444\n3998 15378\n7350 11149\n21 12760\n13459 15293\n5688 6994\n11417 13928\n9827 10776\n12040 13451\n3934 15408\n691 6514\n3616 16357\n11605 12662\n9575 13730\n5437 5736\n9356 12795\n1640 5220\n1698 16130\n1249 3357\n2510 7875\n13609 17179\n8249 9903\n2871 4966\n15368 17213\n3554 4634\n11657 16305\n16297 16343\n3561 10912\n9844 10021\n5163 10914\n10623 14712\n6027 10645\n696 4814\n1512 10926\n130 12289\n4968 8105\n8810 15966\n10387 10895\n9315 13194\n4812 5788\n9458 14603\n11049 16864\n3385 8745\n5272 8681\n6971 14491\n7282 10962\n10669 16510\n3300 4451\n587 1049\n6973 9307\n5436 14153\n8083 8578\n2983 9674\n3520 9241\n4759 5647\n9757 12416\n12767 17064\n2181 8187\n3762 8672\n2707 15478\n1613 15124\n3591 3877\n6390 8734\n15858 16593\n2527 10586\n6024 16185\n8093 15226\n107 1189\n10890 13511\n9074 10826\n3064 7141\n10837 15411\n596 3771\n1761 16353\n4744 8700\n6744 10027\n11801 12440\n4639 4833\n6192 11439\n1028 8944\n5708 12026\n2829 10281\n2035 12258\n7242 16392\n6646 10677\n13977 14528\n3158 17054\n8956 17216\n11310 12111\n16932 17261\n6777 15934\n4158 7231\n7478 7773\n4411 12184\n5178 7175\n10363 13163\n10858 16931\n5626 10746\n6770 9323\n3347 15533\n3676 3681\n11633 11638\n10394 12272\n6410 10175\n13315 16314\n12345 15185\n7139 7651\n11661 15922\n5977 12781\n13122 13791\n5118 8361\n1193 15089\n11691 12330\n4389 15764\n1852 10172\n1333 7121\n5013 17179\n1247 10604\n1443 14027\n16412 17083\n2158 15490\n9615 14422\n14351 14759\n6453 17352\n501 5166\n9 16636\n5291 6827\n15721 16795\n5238 11145\n12498 15318\n5105 13915\n14865 17362\n5988 9287\n488 14880\n4011 9385\n51 5650\n80 14750\n2697 3355\n10289 10459\n12315 15775\n4511 11032\n5560 12597\n12742 15014\n7235 7607\n5375 9800\n3774 12769\n4529 5327\n13797 14689\n13355 16547\n10680 14732\n19 13426\n8581 17130\n14904 15543\n12981 13793\n6419 7356\n1431 16862\n6672 15388\n11497 11567\n14879 15842\n4545 12830\n2655 9440\n10165 13307\n276 5042\n11711 14075\n11702 16014\n5668 9334\n4172 10385\n8003 10973\n3984 7485\n8400 13349\n2746 13459\n4616 13889\n9913 17238\n3273 16147\n6192 7041\n3450 11789\n4307 10418\n946 14024\n9025 14505\n11376 12065\n5876 14160\n8637 16781\n6734 8277\n6708 15964\n1466 11764\n8209 12253\n5507 12643\n10644 11018\n4016 14310\n3333 4411\n5598 8949\n219 9924\n6621 12907\n2826 4757\n7924 11051\n9955 11648\n8935 13099\n8723 14719\n1540 8189\n8303 10921\n2896 15483\n6382 9350\n788 2928\n8684 10136\n7064 8038\n5827 7437\n11470 12455\n5064 17223\n10368 12660\n3083 6149\n15035 16078\n3093 9093\n3268 16131\n270 536\n4681 7787\n1079 4575\n7315 11969\n9904 13826\n3985 16838\n4307 4747\n3073 6784\n1980 13074\n12837 14064\n10970 16679\n14100 16809\n10388 11974\n16345 16346\n2264 13525\n6844 11512\n6104 8001\n4464 13057\n14591 16781\n343 11026\n5291 14122\n13480 14141\n2775 6228\n4651 15067\n4055 16046\n10277 16860\n5911 11821\n7815 17253\n5780 11328\n283 10102\n8967 12027\n3664 11630\n4782 8365\n7659 9947\n5936 8783\n8636 13692\n2531 14877\n4878 13016\n8122 13364\n5641 14691\n1435 14280\n6332 8951\n11778 16232\n10274 14760\n5655 16287\n5254 10595\n7324 7409\n722 14103\n2974 15597\n937 2134\n10214 10885\n772 3819\n1688 10298\n12949 16201\n8330 12621\n4780 12218\n916 13408\n872 2940\n10382 11593\n5796 6238\n4989 7120\n607 8227\n9829 15907\n6833 15606\n4514 8507\n947 16328\n10237 15595\n14724 15758\n7680 9649\n11599 15500\n6580 15382\n5372 12968\n3027 15551\n10463 10688\n249 1836\n4758 11678\n6445 13215\n6255 11753\n8316 11912\n718 10591\n6840 15523\n3309 10105\n6080 15566\n10438 16848\n2157 12533\n13187 13603\n2396 9097\n10224 16873\n15335 15831\n12509 16611\n577 6615\n6604 8121\n6653 14070\n8658 13104\n2137 7310\n3304 16395\n11100 13458\n2466 14743\n11041 16510\n9504 14382\n2841 14547\n5057 7794\n7664 13780\n1289 10661\n6854 8066\n1876 10795\n9432 11555\n5481 12846\n938 15648\n344 7909\n12636 16831\n12436 15236\n6310 8236\n355 2594\n2427 5836\n5501 7669\n1552 4062\n11831 15516\n2610 13676\n13913 16003\n4450 11547\n3359 16042\n4126 16938\n29 1179\n10992 13853\n2514 16859\n3358 10371\n12869 13075\n4653 16136\n1061 14871\n9245 13888\n5861 15286\n6272 14801\n9947 14802\n12142 15606\n3598 7773\n1322 9785\n14048 15661\n370 2298\n1148 9917\n749 7159\n6596 16866\n4184 4960\n14 14250\n2727 11871\n3123 3239\n287 8842\n198 13452\n1901 10113\n8367 15775\n32 1616\n5099 5753\n1261 16313\n2699 8571\n14640 15018\n1873 9752\n6462 7152\n5274 10626\n8652 15321\n4783 11259\n7012 9573\n8707 11013\n11457 12532\n9451 13006\n10937 15851\n7338 11027\n688 9747\n5877 11027\n96 7241\n4028 8686\n712 14670\n3895 13356\n2911 12843\n2838 17029\n4875 12325\n8008 9569\n2633 8153\n881 17364\n4414 14836\n355 1611\n639 933\n4781 6027\n6884 13399\n5817 5841\n9365 11617\n4311 8797\n9378 10882\n12309 17440\n10067 12105\n5135 14120\n11424 13940\n1777 12896\n13124 14041\n6562 8140\n8667 12938\n4646 17374\n13832 17021\n4504 5659\n8817 10108\n1745 17422\n1389 14111\n1601 8612\n2902 5823\n1990 15531\n3419 10901\n1421 12898\n1852 9371\n12585 17085\n11246 12386\n9469 12471\n1449 3762\n1749 9107\n4551 13513\n3875 14224\n3760 5541\n273 3424\n1431 13134\n1673 9353\n2028 13486\n3903 4764\n13835 15634\n1265 13537\n6247 13905\n127 11742\n4874 9862\n823 11831\n1419 5995\n373 9329\n9085 11716\n1270 5633\n6232 12650\n6003 14127\n5209 14187\n489 9102\n3440 5916\n2128 11653\n6156 9798\n6619 11048\n1185 9749\n8879 15633\n5503 16317\n8475 13637\n3334 13379\n12027 15197\n918 10848\n820 7358\n5688 8077\n6802 14026\n7449 14870\n3634 10150\n2937 7968\n299 1519\n4452 4618\n3299 13370\n5409 13243\n143 10740\n8034 12063\n2445 6838\n3727 9416\n8258 10220\n470 5371\n2179 5223\n4588 14083\n5108 14439\n1327 7482\n11125 14397\n5198 6905\n1291 9942\n1815 4421\n2832 8324\n5424 5598\n1610 7840\n9594 14018\n6480 16623\n4862 14493\n13164 14748\n9015 15689\n1117 13480\n13456 17316\n9057 11299\n9689 16546\n1599 14242\n1471 4599\n5150 12084\n663 12849\n13942 15781\n5838 10434\n1864 17086\n6505 15900\n1102 12006\n3814 14066\n6627 12817\n2751 16080\n6389 14995\n2666 13365\n4863 15933\n11455 12406\n7359 7639\n1146 10232\n6038 9117\n3081 13758\n14068 16843\n3006 6700\n3498 7111\n6044 11065\n282 12933\n9436 10536\n8325 9077\n5178 10046\n13403 13456\n250 2336\n7595 16422\n6270 17411\n7595 9624\n175 15158\n11584 16073\n7309 10809\n7747 8182\n8359 17433\n5061 8782\n436 15061\n13417 17096\n7376 15055\n5062 16663\n6745 14280\n6668 11006\n3981 13081\n3986 6774\n4361 9668\n9583 16812\n12684 13233\n130 204\n3454 9397\n8134 12004\n1711 2488\n7481 13848\n4506 7211\n6235 13309\n9141 12469\n15818 17046\n9035 12699\n6260 13810\n13 3457\n5946 11954\n10491 10952\n8434 16377\n4307 15158\n9749 14934\n6980 13392\n4600 5347\n8611 11298\n5632 7049\n7434 16183\n3065 10202\n6109 12722\n11816 15717\n5254 10840\n8003 14824\n12051 14154\n6510 7748\n6376 12408\n12743 17242\n4173 16627\n4465 13323\n850 8376\n8501 12812\n2338 10503\n2769 15658\n3410 13605\n3518 13145\n12950 14687\n7066 12647\n4416 14830\n10946 13503\n11337 12580\n12324 15890\n3442 3786\n3859 4104\n1334 14633\n6716 7598\n7000 16384\n4162 11938\n6621 16889\n1192 14845\n3439 14730\n1683 14245\n4383 15459\n16490 17185\n10267 15151\n6200 11839\n4913 10346\n9437 14786\n12866 16159\n12055 14084\n11292 13045\n2030 17335\n510 15462\n1024 14593\n12003 12300\n76 4973\n5899 17209\n1897 3425\n6777 11002\n2744 12815\n1350 4237\n6364 12691\n1357 11981\n4277 13691\n4028 16678\n5943 8103\n3764 4319\n7573 15700\n691 4858\n13943 16846\n6866 14339\n11049 15006\n5230 12475\n8036 17299\n1102 4037\n7792 9613\n14589 16315\n6185 13180\n718 8483\n2954 13771\n13279 16951\n7416 13715\n290 4803\n11111 14823\n13107 13255\n10027 16018\n2414 3277\n3951 7457\n166 5477\n10426 11582\n1728 8401\n9825 11354\n1086 10750\n681 13716\n370 492\n10501 11736\n7954 10353\n4237 10927\n211 4002\n4112 4685\n735 9704\n3447 4481\n2491 8426\n13690 17271\n10816 15494\n9900 11867\n1752 13080\n3504 12585\n4633 4974\n3309 14618\n1532 17156\n2165 12269\n10918 11172\n5966 16468\n155 15058\n2490 12898\n7143 17389\n8235 17390\n8 2368\n4325 7452\n7999 13698\n1394 16637\n3228 13950\n3924 11098\n8245 10970\n4569 12477\n10477 11869\n2408 13705\n1079 2199\n3351 16873\n11950 12766\n15020 15402\n9590 11567\n4097 13157\n10719 12436\n8902 13397\n6856 7542\n12592 14115\n7565 16328\n9820 13729\n3591 11483\n5904 8815\n1176 13619\n6868 9396\n1088 12825\n9078 11660\n699 2783\n4229 6474\n3848 5887\n5651 16477\n54 11996\n1545 16701\n11363 13752\n5069 14543\n4455 6753\n9032 15920\n14128 15086\n14725 16874\n169 13182\n14322 17100\n7277 9433\n624 14429\n4795 13885\n4738 7417\n979 8646\n12922 14834\n4884 12729\n6781 16025\n4955 8120\n4705 14354\n8960 16937\n649 4682\n6106 8522\n13741 14919\n3179 3402\n4978 17109\n5493 17141\n32 16853\n2468 3392\n1614 7196\n476 5021\n11571 12722\n9680 16563\n5534 12396\n3393 16027\n1737 2378\n5396 9410\n6615 11784\n13368 14472\n4302 8597\n5833 12732\n13015 16573\n7612 17328\n8278 9693\n2997 10369\n884 5281\n12072 16225\n6384 9934\n1289 5996\n1259 9587\n14256 15545\n8508 9901\n7403 9409\n5699 6561\n8281 8954\n8152 10580\n4127 9470\n1846 1978\n8580 13264\n3916 10134\n7996 8430\n5081 8932\n8552 13943\n5606 8327\n9005 13055\n5570 8160\n6597 7704\n642 14465\n8857 15484\n6143 11925\n4313 7451\n4042 6371\n4532 6104\n4259 7670\n14837 17315\n3588 11892\n8741 13775\n2614 9768\n3302 3333\n9399 16853\n3799 12451\n11641 16311\n1646 8856\n2345 10207\n4807 9825\n9237 13879\n1878 11933\n5781 7472\n15931 16643\n8936 15302\n8407 10984\n6403 8174\n4876 8873\n11745 13527\n2528 12778\n3045 6413\n4470 15621\n1473 14874\n823 14686\n1996 2962\n2568 8050\n11744 17404\n8991 10870\n8010 12666\n8575 14492\n5848 12262\n6079 9928\n4192 4965\n5441 15366\n13576 16156\n4023 11400\n4326 15009\n422 15170\n11197 15346\n1811 11022\n7569 10169\n1837 9928\n806 10784\n891 16586\n539 6986\n7133 15682\n5967 15847\n11930 12679\n8973 12640\n4598 6784\n4081 4413\n10686 13144\n2905 9404\n1396 7874\n1521 2369\n1432 3140\n14185 14737\n5037 14743\n1514 10404\n1977 16050\n4521 14868\n1539 1768\n3756 15883\n506 11608\n558 1666\n3344 13120\n9086 11305\n4310 13814\n9889 14202\n13164 16930\n4188 14711\n3504 7311\n1809 15285\n193 8201\n5862 14841\n12068 15057\n7007 9989\n10415 12718\n1074 5956\n3450 12466\n1774 12026\n1014 4016\n8131 15500\n10621 15013\n8361 10409\n14985 17332\n6685 11641\n2109 9786\n4626 13710\n5187 16461\n8629 16551\n1054 14564\n7620 16269\n9521 17142\n1678 13678\n334 13071\n220 13495\n5073 9202\n446 7851\n862 6724\n7043 13766\n2398 17303\n2457 3283\n667 6769\n11923 14562\n7346 7699\n10026 11512\n9117 10520\n8536 17185\n1619 8698\n5236 7690\n3340 15967\n28 9160\n1039 16352\n6089 6467\n6659 8256\n3954 11709\n5252 14233\n8881 14499\n15560 17215\n3536 9433\n8125 13403\n910 14110\n15607 17217\n10229 15049\n6475 12418\n969 13633\n14963 15993\n6391 7836\n7853 14499\n3988 15270\n10838 11156\n9207 15369\n695 10226\n3802 8123\n386 13338\n5588 9263\n2607 8000\n3064 5913\n4557 14718\n1462 7610\n13568 13983\n1983 13952\n2451 16772\n1989 7464\n6915 9672\n10966 12076\n9089 13529\n6639 16482\n2374 4586\n4339 8621\n12267 15069\n2253 10056\n7278 10691\n858 8243\n10954 14074\n4168 6952\n2519 4755\n1119 14241\n5440 8620\n2369 14465\n7211 8140\n4081 10626\n11292 12041\n5877 17372\n6821 7599\n5414 17393\n269 4145\n630 10974\n1577 8667\n6442 9103\n6006 17039\n9327 13743\n10429 12743\n11342 11729\n1551 2416\n871 10576\n11131 16356\n13472 16648\n9008 9071\n11436 15871\n2817 5888\n12782 16397\n2564 5437\n3623 16321\n2420 9362\n10865 17290\n9589 16935\n1119 16876\n8479 10720\n15173 15381\n3677 4218\n7858 8314\n2912 16451\n7513 14227\n5603 9847\n10186 16596\n7352 16294\n9780 13778\n14338 16467\n2568 5859\n12928 16102\n1865 10631\n5521 6645\n469 2549\n1814 12244\n2801 12801\n8066 16171\n3761 9177\n4470 12976\n5769 9882\n382 6665\n12219 17183\n10934 11218\n3537 6189\n5533 6052\n5136 16089\n3618 14230\n6368 13411\n2619 6590\n7314 9929\n10654 11463\n11044 16220\n13462 14841\n4012 12226\n10852 16926\n6827 17284\n2384 9141\n2501 2995\n4431 7260\n13171 14009\n3334 14904\n10869 14082\n11912 16835\n11176 15892\n12572 14467\n6106 6630\n7852 15332\n14011 14297\n11160 12437\n2575 7313\n5391 10540\n5436 13343\n13823 15677\n10398 17061\n5609 11120\n2694 5369\n5727 15081\n8544 15665\n4317 14689\n4047 15990\n7091 16506\n3708 5049\n1189 15690\n11345 12151\n5980 7804\n13549 14462\n11946 13058\n1451 9117\n15435 16368\n5925 16386\n11396 12081\n5029 9338\n8154 12958\n5359 7276\n8182 11615\n7139 11959\n11081 11864\n11198 11249\n2168 14848\n2863 13688\n4656 8323\n7279 14630\n2623 8700\n10878 11851\n2050 10013\n1136 15265\n991 3856\n200 852\n14965 16772\n1069 5650\n13519 17186\n6393 15188\n7538 15875\n12481 13498\n6296 15591\n10460 16732\n7874 14062\n14033 17052\n2870 16091\n3036 6415\n5805 8835\n15873 16987\n16942 17204\n3716 6296\n2490 7862\n3382 15094\n3926 17385\n7956 16578\n6421 11295\n6926 11394\n2249 7845\n3681 7709\n7974 9423\n1842 14695\n11926 13067\n6462 14666\n3553 8934\n8921 16216\n279 4856\n9864 11204\n1405 13722\n2568 15482\n3631 15592\n3082 9426\n3482 15998\n9516 11330\n6652 14315\n903 12662\n7916 9225\n6923 7745\n7036 15905\n4367 4547\n8641 13410\n13486 14150\n8167 9238\n12130 12642\n8993 9886\n210 7301\n6815 13957\n9380 9753\n2308 2924\n391 505\n1132 2698\n1548 3466\n7807 14616\n1674 4126\n7934 13215\n6498 7481\n5587 17320\n3730 16842\n1047 7593\n10878 17421\n3220 11439\n6003 8196\n12193 16308\n2947 5440\n94 16610\n2267 2618\n7672 15062\n59 13723\n1195 8495\n6824 14090\n2780 5281\n2293 10732\n5717 13572\n499 12957\n1852 10622\n1070 5333\n9695 13873\n11391 16688\n3492 13046\n2300 4327\n10870 14068\n7300 8762\n8741 9540\n10461 15432\n6464 17347\n133 16992\n13948 15649\n564 7231\n12906 13299\n5760 7942\n959 7163\n2925 15784\n634 15849\n1644 12313\n5669 11008\n7095 10532\n11709 15834\n3586 4900\n3039 9412\n7501 7620\n9952 14872\n12031 15499\n5191 8684\n8462 11860\n1719 8264\n8824 14796\n11138 15742\n2925 6417\n12346 16179\n2740 13765\n3380 4786\n12648 12929\n2131 14329\n10322 14946\n9331 10915\n263 11711\n3153 11013\n295 11439\n3109 5708\n237 10007\n5917 15944\n2858 15186\n2247 11366\n9978 16146\n4971 10296\n4870 12861\n13675 17322\n11245 17434\n1360 3142\n9040 12628\n2761 9605\n2979 16604\n2952 5439\n6816 14663\n83 13166\n15167 16394\n4910 14711\n7544 12823\n13863 15335\n5481 16216\n736 15194\n8491 12512\n13036 17014\n6508 12295\n9883 11136\n15904 17167\n2438 10238\n4030 11759\n6313 7050\n424 1618\n5654 8828\n2675 8697\n326 7884\n12672 14627\n4217 4493\n4147 4887\n7078 12438\n7147 11496\n1003 1187\n3353 13873\n15286 17126\n5161 13547\n7645 13047\n3021 8939\n740 6080\n7051 9658\n2179 13669\n3440 11507\n1531 10331\n619 1305\n7636 17164\n167 3288\n85 539\n9320 11670\n4867 12131\n11466 13336\n1646 7501\n11177 14624\n3051 14483\n2897 13772\n2573 12340\n9926 12548\n10084 11916\n7167 8507\n2735 14503\n1124 9793\n6358 8053\n8362 12461\n4636 15026\n1744 6324\n3681 11121\n1306 8368\n2291 6349\n2284 10109\n12427 14493\n5403 12540\n12381 14156\n2183 2614\n8021 15844\n10331 13933\n12364 13475\n5528 10521\n5129 5381\n3932 10000\n8155 10268\n5555 14069\n1642 7873\n9 13975\n5050 10662\n4430 11870\n5579 9016\n2128 4468\n4980 15986\n9266 13785\n3759 16557\n11629 16419\n11858 16113\n5129 13540\n3060 9398\n329 6500\n5657 16472\n11246 13143\n1773 2975\n6005 14604\n5944 12013\n3141 12189\n8630 16045\n3006 3853\n2358 15743\n8574 16951\n6555 9832\n435 14515\n6100 15709\n747 10477\n630 14606\n4583 15597\n11726 13889\n4039 10620\n140 11571\n1424 9723\n3035 4650\n15 5223\n12489 14600\n1586 16336\n8524 10151\n3702 11027\n8675 9543\n5617 10975\n474 15858\n3593 5740\n9368 10956\n4150 5494\n6160 9678\n6832 8086\n8654 17199\n10753 14787\n5051 8660\n2703 12026\n183 10769\n2674 6611\n4895 16250\n4703 16138\n8703 15274\n9763 13727\n11365 15731\n7518 9695\n7996 17236\n1280 4270\n13857 13878\n5608 12001\n8265 14033\n8223 13754\n8315 8828\n2977 8112\n3431 17064\n3579 8027\n6881 6929\n4408 11232\n6113 15884\n14335 16547\n1172 17340\n8725 15406\n5869 8861\n1268 14028\n12846 16373\n9481 13845\n6121 13340\n9858 16699\n1662 12804\n3738 16609\n344 14831\n1549 7431\n2162 3445\n7692 8543\n13938 17049\n3018 16650\n3042 12143\n2343 9339\n2979 5752\n6940 12503\n15790 16557\n6343 17171\n2838 12657\n3324 6854\n7776 9495\n2430 14040\n1221 12279\n5311 12861\n6342 15184\n396 16745\n3727 6673\n6483 14446\n8539 13014\n11337 17292\n543 10796\n9295 15271\n4431 15714\n3327 12406\n3899 11478\n2274 5266\n231 9348\n3432 9936\n7402 14788\n5989 7190\n1992 2225\n9657 15534\n1083 16436\n7286 15589\n11417 12188\n6478 7074\n8183 14758\n3642 8743\n6157 14907\n1261 12385\n4282 10503\n15035 17166\n5382 12240\n60 14306\n6969 13551\n5880 15966\n6911 10993\n3091 12137\n6361 14763\n1620 7496\n4982 17343\n6120 6226\n8983 10585\n3790 10900\n5750 10039\n2294 11072\n7374 13659\n1538 14523\n13023 15459\n209 3104\n8230 10589\n1295 4193\n4004 9784\n9767 15369\n16298 16853\n6757 10889\n4366 12604\n2879 6267\n6906 14861\n7502 12140\n2962 10560\n11829 16408\n1931 9923\n4915 16682\n954 17176\n7125 11428\n11359 12377\n5752 9566\n9285 10232\n3166 4114\n6026 7671\n1703 9356\n10281 14155\n1420 9517\n7373 9376\n8119 8124\n781 14849\n4435 13669\n9661 17009\n8772 16317\n6196 9071\n6035 10523\n12171 17019\n872 7907\n10478 11504\n4904 5286\n12383 14971\n8510 11220\n1098 9165\n3255 11431\n1790 8563\n12111 15512\n4020 11224\n1658 13381\n4633 13514\n3291 9857\n4310 4438\n4566 13257\n2684 6012\n158 8663\n3968 6489\n13464 16776\n1846 8402\n1391 14948\n1205 10631\n4164 4227\n3899 10088\n9791 14823\n7847 14694\n2711 9949\n10873 12905\n9967 16175\n6010 9808\n1104 9665\n5356 10775\n408 10484\n6863 10691\n6214 7499\n16988 17372\n951 9395\n334 10191\n4073 16568\n9599 9975\n14602 15696\n6674 12071\n8277 9555\n8900 13078\n5698 10750\n382 1619\n796 4849\n5416 7665\n7334 7680\n4182 13170\n272 17078\n788 10120\n7989 11726\n6588 9902\n3121 14781\n2083 10321\n10535 11067\n4545 16516\n9160 9422\n4098 8847\n2402 14072\n10784 16162\n402 3620\n1547 2990\n4465 10433\n1255 9474\n2019 3435\n1817 16927\n2538 3360\n9259 11906\n4477 6396\n15942 16572\n17020 17256\n9582 11701\n5175 14567\n8155 9332\n5547 12050\n4324 6055\n8502 16430\n13724 14371\n47 5874\n4645 12904\n957 1617\n2984 8638\n10935 14408\n12212 13297\n7363 12910\n6208 11862\n388 15644\n798 4339\n147 4446\n9081 11530\n7009 16557\n8008 13432\n3144 10566\n12489 17282\n5604 14486\n6867 13558\n9077 12445\n2894 17418\n10341 12708\n6980 8130\n10251 11159\n12120 14170\n13112 14995\n8067 11345\n7159 12349\n2418 5217\n623 14668\n10839 12316\n6877 8832\n81 1034\n1745 17108\n7469 12809\n14524 16460\n12261 15703\n1420 10016\n183 1698\n5636 8356\n642 4705\n14795 16314\n1056 4070\n10953 14850\n2826 9715\n3231 5678\n4424 7842\n7070 15692\n9771 11269\n3009 8729\n3656 11227\n10266 10437\n1268 4238\n3653 9381\n13779 16058\n10128 13319\n1229 6988\n1427 1596\n13930 15692\n1630 2707\n2801 6739\n7570 11839\n9002 16945\n8760 11278\n9123 9462\n10419 14966\n566 3594\n5056 16916\n11348 13928\n2581 17383\n1253 12991\n3349 13319\n6644 12692\n3093 10320\n6436 15440\n9234 13883\n7621 16574\n821 11773\n11115 15914\n1923 2593\n422 10180\n12409 15300\n589 9298\n12675 13995\n2214 4622\n2727 13492\n11342 13590\n7936 15205\n10293 11311\n11645 12947\n12666 15020\n7703 9349\n4089 10306\n1844 3749\n5195 11398\n2664 3133\n8435 12236\n13933 17262\n668 3065\n6425 15174\n3722 8723\n5948 11702\n5571 15078\n530 17416\n14549 16429\n2031 3071\n3167 13050\n3730 12391\n6313 13462\n4040 14574\n3937 4245\n11530 14103\n11796 14946\n6955 13572\n3356 16914\n597 14349\n8187 14204\n4364 9240\n5508 13664\n4876 12266\n4116 16137\n2986 7865\n1795 7756\n6686 6913\n9586 12665\n15934 16936\n11541 14040\n3396 6212\n3705 14918\n14447 15622\n1789 12545\n7773 10689\n10155 10667\n9141 9897\n10240 13031\n783 3578\n7161 15537\n5671 7467\n1736 1740\n4882 10160\n5012 6786\n3070 16917\n6090 12458\n116 7750\n4943 15800\n9383 14917\n10884 13019\n5289 7752\n153 15365\n6944 6977\n606 8292\n4531 16790\n12471 14939\n14723 15897\n3368 14128\n13343 14417\n733 12860\n14657 15594\n6950 11593\n2939 9778\n7778 10804\n5407 6858\n13125 15621\n5736 9705\n1887 1960\n3493 8859\n4574 14540\n7112 15922\n5047 7012\n1775 11201\n9843 16729\n396 5642\n660 6196\n11093 16246\n2885 4340\n9621 13382\n5386 14468\n5432 15110\n387 903\n2419 16414\n4543 15607\n15463 15490\n4559 16463\n1342 7416\n6946 12578\n2560 6956\n12282 13422\n2620 12713\n1222 16579\n10956 13986\n615 7726\n4241 8846\n2382 16372\n4868 12557\n5702 14389\n4556 6657\n8416 10092\n9087 16641\n6537 15905\n807 15137\n592 12789\n2690 11291\n2064 16880\n2531 7356\n6624 10836\n12502 14048\n252 13633\n1951 10971\n11340 16166\n1220 13266\n663 6528\n6530 14289\n3417 8246\n3544 13401\n4442 16620\n12744 13676\n1366 1868\n3955 15824\n247 408\n2173 11551\n5872 6047\n3801 4909\n13109 14376\n3023 15105\n10312 14993\n8843 14552\n48 4540\n1161 17331\n9850 11253\n3781 6295\n11053 16627\n7106 17110\n5102 16950\n7381 13111\n10064 14755\n4494 6895\n6868 9133\n982 13537\n3634 8378\n12811 16225\n4809 8694\n7671 13555\n2977 8493\n12432 15680\n7919 16828\n568 15505\n6509 15100\n5721 13286\n664 17436\n6237 9230\n1332 13122\n4770 8606\n12028 16468\n332 7137\n3805 15804\n1354 12861\n14304 16222\n14315 16087\n6067 16029\n4736 7122\n12876 16316\n5140 14693\n6686 11915\n1247 4461\n7663 16302\n11862 17077\n7436 14700\n5632 8729\n4922 13570\n2246 15551\n12550 14537\n897 2172\n112 10432\n1973 5879\n4938 6981\n12677 13822\n1023 5998\n4624 12527\n3886 5040\n16317 17320\n8156 11668\n17095 17237\n2561 11742\n3900 16095\n5659 10707\n5150 11275\n1164 13145\n2750 3302\n4106 17193\n5357 5534\n1521 12852\n13781 15771\n10726 16399\n10510 12093\n181 11552\n2929 15431\n12272 16585\n6446 9389\n901 1396\n3993 8160\n6530 7171\n7492 11931\n6248 11662\n7859 17271\n10535 14294\n1268 7692\n6894 14105\n13601 14973\n13677 15582\n13811 16016\n3553 8229\n4906 12007\n14713 15374\n10951 15322\n207 4569\n7311 10934\n3857 11875\n9763 10520\n12373 12882\n126 1162\n6570 16396\n12603 13448\n546 8210\n4377 12320\n8205 14327\n9736 15681\n516 17430\n310 9910\n443 12451\n7378 14037\n13368 16340\n8723 16412\n2767 9106\n10350 14343\n12294 16243\n723 1715\n2419 5632\n6023 11258\n4714 5645\n8709 16354\n5912 9224\n4796 13957\n243 4928\n6988 7766\n11627 13732\n7079 16428\n12556 14081\n1700 13342\n6442 16208\n10589 15564\n1782 16399\n1778 8490\n8275 9464\n9963 15506\n2751 12974\n10961 15923\n12782 16637\n2271 4057\n9766 10001\n4433 14363\n6462 16168\n1046 4260\n8094 8711\n2229 8390\n1031 5502\n1501 13391\n6415 14744\n5886 16543\n1910 2152\n3677 10997\n1071 14298\n8797 13429\n8378 12378\n1615 10800\n3837 6611\n1969 6268\n3 2841\n3826 7275\n10676 15878\n8959 9154\n8227 13876\n4950 9668\n64 5489\n10022 13204\n12538 14378\n832 13440\n510 3341\n5166 5639\n2800 15636\n14221 16725\n1547 9852\n12643 13823\n10317 13485\n2935 6791\n2630 6091\n16210 17199\n9060 12379\n9136 9919\n547 12843\n5297 10027\n16573 17121\n9655 12879\n1213 9928\n180 2952\n7717 15463\n11213 12068\n4332 9867\n6579 16516\n8263 13534\n5429 9851\n3119 7457\n10941 13561\n796 10146\n3195 15577\n7682 12756\n6633 15925\n2107 17253\n695 12640\n14188 17182\n135 12329\n15165 16433\n4766 15307\n10184 12385\n1998 15101\n5392 15914\n2284 3994\n1637 12480\n3389 12795\n7810 7897\n8785 12670\n1138 17400\n751 16726\n2946 4665\n5766 13093\n5499 6683\n2772 14400\n1538 12349\n5020 6823\n5197 8113\n8118 12009\n2224 8246\n2245 15056\n11611 14207\n11813 14701\n3101 9852\n3982 6274\n10972 11832\n763 9335\n4211 4732\n3519 6417\n3291 16743\n1301 1304\n10979 12408\n10809 12970\n3536 5711\n3021 17413\n543 16057\n493 10053\n1671 14940\n5784 9567\n14441 16156\n8746 14373\n2631 16520\n2247 12203\n1506 14678\n5395 12130\n12777 15004\n9258 16030\n3658 12341\n10990 13102\n3804 11999\n10421 15382\n6281 13850\n9890 11617\n1994 11436\n7838 8281\n10696 16328\n1117 1632\n4997 17458\n5128 14629\n2662 5431\n7308 16115\n12132 17235\n6344 10325\n9667 12945\n10649 10913\n5231 17016\n6117 9446\n13353 15194\n2158 4514\n12569 13080\n1796 5225\n1528 2816\n11502 16965\n11702 16420\n4153 6409\n981 16792\n1849 13701\n2314 5802\n2330 15249\n6690 8852\n7632 10523\n7045 17232\n2046 12021\n5989 6861\n3713 5085\n12005 13491\n1521 9904\n6882 13030\n7972 11499\n7497 15292\n578 1620\n2215 15102\n4048 9406\n10782 15501\n2298 14039\n1128 17437\n3312 5929\n5116 8313\n5434 7374\n361 14657\n1521 4563\n68 11389\n6172 14960\n6786 10804\n3811 5930\n29 2599\n2033 2714\n7883 16336\n2437 13871\n7018 14343\n13426 16208\n10725 12319\n1716 11424\n7581 10581\n12573 17391\n3304 10395\n3767 8173\n5038 11757\n604 4844\n4332 10222\n4271 10730\n13132 15010\n5303 14709\n6007 16781\n7331 11882\n8900 13627\n4959 10086\n3962 6545\n4330 10186\n2943 11214\n13935 16123\n4174 12105\n5672 7171\n4890 17024\n7808 10355\n8492 16860\n3249 16694\n8277 16590\n11688 13150\n6909 8157\n3874 14147\n11313 14093\n12925 16086\n10418 12911\n8539 9982\n9319 10424\n1063 7318\n15774 16771\n891 5492\n3633 16136\n1515 10339\n7690 15505\n5671 14138\n7396 13566\n8260 13430\n4910 6270\n2855 6502\n428 7997\n3069 3147\n5063 9756\n4450 10943\n6434 7724\n12402 16316\n13146 16514\n1890 13021\n9397 10715\n9704 15798\n9917 14952\n4995 7049\n2839 14932\n8294 9501\n10813 16365\n11800 15782\n11081 15928\n246 9618\n4731 6931\n193 14399\n5621 14725\n22 7849\n5749 11168\n10692 15593\n6018 15169\n3008 7908\n4368 11654\n12991 13630\n2092 10555\n9706 17099\n5417 17231\n7441 16007\n15523 16794\n8165 13871\n4814 9709\n8690 12472\n5149 6762\n14037 15144\n12936 14781\n5836 16477\n5990 12041\n9615 12455\n9566 15589\n1281 3072\n9746 12435\n2477 12658\n1887 11048\n507 1374\n3586 3954\n7225 10554\n9706 15382\n2388 13607\n12673 14070\n2564 9284\n10702 17402\n2539 12011\n2719 5104\n5064 13201\n8225 11860\n2275 12278\n6673 12967\n1203 12288\n1265 3118\n8883 10493\n5002 9279\n8520 10796\n5102 8083\n4126 4960\n7851 14162\n68 12102\n1125 6717\n1694 9151\n5656 8439\n1730 9287\n1110 4306\n8153 17163\n2936 7653\n8601 15559\n7767 12589\n6687 9370\n5660 13178\n4738 11362\n5261 7830\n8115 11492\n7461 14335\n788 14079\n9681 16085\n457 17263\n12083 16417\n4313 13152\n11396 14322\n13190 16055\n4583 13179\n11179 12229\n1489 5435\n9080 9458\n12246 17436\n117 7052\n1193 4259\n13070 13181\n12038 13400\n2289 3969\n8037 13803\n6268 6425\n6499 12747\n7550 13459\n9784 14726\n1840 10887\n12537 15915\n6028 11771\n6335 8461\n2411 6023\n7230 16347\n1984 3881\n6182 14682\n7749 10302\n2946 10267\n3352 8630\n8417 11035\n9183 11968\n2500 7227\n1157 4572\n12444 16395\n3714 13154\n7811 10529\n8389 16776\n1227 6865\n8102 8414\n6934 10761\n90 1948\n9290 13667\n11779 16766\n1581 15986\n2459 10297\n2871 11118\n6561 10478\n3070 15043\n926 5432\n3607 12742\n8995 14137\n3114 16494\n5090 16154\n10068 11447\n8731 12845\n5958 7198\n7603 14133\n3143 15396\n8386 12807\n13294 14965\n1157 2135\n10099 17435\n755 5891\n14891 17048\n7522 9429\n5564 10891\n10859 14699\n12325 13702\n1535 2939\n7008 12177\n6978 10369\n4005 10655\n10449 12744\n4494 14258\n4572 15339\n7381 12181\n1431 10463\n1038 1125\n15814 15951\n883 10993\n5895 6082\n12480 16724\n13842 15717\n1199 13908\n1079 7686\n1138 16705\n5631 15072\n14021 16647\n10342 13817\n6749 8961\n4535 6163\n3607 8287\n3696 7977\n5944 17364\n788 9133\n2699 13100\n5975 16122\n10815 15490\n11983 13486\n1475 16881\n3410 7850\n1450 8844\n4806 10979\n334 16123\n7034 9267\n1674 15700\n10544 17038\n4914 12528\n1861 9550\n8218 13469\n7255 16485\n9525 10825\n1121 11590\n6515 9808\n1741 14729\n5716 13585\n2595 13499\n6205 15604\n5369 7303\n2575 2998\n3816 14751\n5081 13539\n4419 12050\n10171 16983\n14096 14251\n3286 15595\n16544 17330\n2117 15208\n2186 9981\n9235 9659\n13354 15135\n10162 14057\n1291 15623\n427 11452\n8870 17018\n4822 16431\n1983 10053\n6817 10830\n1756 3102\n5793 10715\n3680 7106\n1131 7924\n4132 10063\n2818 15414\n5437 6597\n9287 11222\n4556 10773\n2557 14633\n11029 16129\n13595 15419\n2338 2794\n5654 12763\n9131 12398\n9939 10294\n5855 6395\n12386 13275\n5748 14756\n10121 11993\n3194 15440\n326 4187\n6756 9279\n1056 10541\n4449 10441\n6099 16041\n15586 16302\n2825 6028\n7867 15527\n5251 11795\n631 10797\n5971 13820\n8182 16579\n4238 15309\n4234 7064\n8893 14192\n3766 6479\n962 6933\n5327 12014\n8938 10427\n4741 14921\n642 5236\n8613 10745\n314 848\n6635 7269\n1080 7265\n899 13407\n575 1215\n6076 13052\n4645 14354\n9214 13044\n10794 12667\n5584 12368\n5921 8133\n16909 17247\n4004 8839\n9607 15227\n2938 6354\n1937 11407\n12395 17215\n1537 9432\n6578 12222\n4649 13275\n16246 16982\n1282 14582\n3726 9492\n8061 12362\n1419 15873\n1385 12826\n162 17228\n2445 7317\n7990 16655\n11816 15691\n13246 16446\n3534 10731\n11560 14822\n2736 5642\n8064 8124\n5586 8168\n8727 14234\n11268 15986\n9496 16789\n649 15257\n2100 7606\n1924 2403\n4621 10072\n2102 4254\n9473 10037\n6561 15587\n6420 6886\n8074 12759\n8408 12739\n1252 13819\n2062 15382\n4917 16474\n7622 12614\n12623 14870\n1662 7118\n422 5341\n10668 14134\n8795 15371\n2057 10376\n4607 7373\n5904 9216\n8299 11016\n5157 12836\n2914 13941\n7294 10762\n6647 14551\n64 296\n6938 13878\n7468 13353\n3992 13648\n8549 12310\n1833 2387\n6474 8637\n8771 15406\n7722 13775\n3660 7547\n5812 15950\n3260 3818\n7675 12015\n2254 9454\n8248 14418\n493 11977\n3946 12370\n552 7200\n2310 9276\n1513 5586\n5550 14899\n7231 16841\n3783 8146\n709 15877\n6162 9369\n6179 14799\n7546 8165\n11254 13750\n5226 7568\n6872 11441\n7043 11700\n463 15352\n9565 15324\n2832 3155\n6161 11419\n6729 12998\n5886 7285\n12301 16765\n6961 16506\n9599 11431\n5094 5479\n8990 13656\n1641 3606\n12358 16584\n7800 14666\n12098 12505\n6581 14020\n2638 13168\n3340 9645\n7503 12648\n5148 15515\n6828 13408\n8052 11812\n3622 4945\n7984 11113\n3698 15613\n12757 16666\n3173 15399\n1609 4262\n6773 9086\n8792 16585\n2383 3030\n99 15385\n1324 7077\n347 5188\n11532 13404\n71 10249\n2420 12406\n5780 8188\n2596 6116\n1803 13720\n4370 7876\n2613 9151\n638 5829\n10046 16041\n7267 15041\n4197 4846\n9401 13963\n3628 10203\n2722 9256\n9417 17110\n4082 12314\n11960 16891\n8136 8906\n9071 11486\n6724 14573\n7070 14247\n1931 14019\n1906 5064\n10445 16541\n1423 14287\n3757 14303\n2616 7299\n6771 9002\n1092 13048\n6037 12410\n10168 13686\n9518 15978\n2296 5586\n5093 11109\n68 16950\n10293 15861\n3683 16014\n1713 3600\n4438 11474\n1753 11575\n7080 9985\n2937 13599\n9476 13650\n584 15043\n407 13319\n5361 8375\n1701 9698\n8938 15035\n7486 14634\n2728 10312\n6213 15922\n5590 14286\n316 6865\n232 7977\n6907 15420\n4355 10078\n2258 8532\n10380 13199\n1843 16021\n7108 7468\n7172 10577\n4651 12919\n3621 4549\n8524 14936\n4763 6878\n615 1695\n7639 16639\n1645 14576\n478 15181\n3595 4818\n792 17145\n698 2703\n1500 3811\n14024 14289\n14480 15246\n7954 8823\n754 1243\n2459 2813\n1161 4847\n93 12325\n100 895\n3719 5116\n2538 3742\n10082 15161\n12594 14722\n4971 11268\n5890 12502\n5500 16340\n2177 2335\n8524 10063\n620 1835\n2792 6922\n1289 12019\n4739 10969\n3249 5025\n1813 14385\n9080 9614\n1478 6371\n4625 7575\n8707 8949\n7318 10742\n3584 13887\n555 8689\n44 1730\n4990 16012\n13011 17345\n11065 12704\n2149 17059\n2761 14492\n8318 10161\n1500 15411\n3687 7774\n1771 6818\n3466 4819\n3861 10737\n205 10535\n11984 15402\n1244 8538\n3719 11310\n6312 16620\n5728 14462\n493 10370\n6978 16267\n12456 15406\n3277 4169\n1583 2661\n695 16804\n13841 16751\n3541 8402\n12428 17186\n650 6859\n5211 13340\n5343 14060\n555 12476\n5399 11417\n45 2630\n11298 12635\n4196 7691\n3045 12409\n13072 17268\n12495 17112\n6892 8596\n12746 12898\n8589 10887\n5284 10800\n186 9870\n4868 15253\n4644 15274\n3627 11950\n3583 13621\n2624 11227\n1898 6403\n11626 16823\n14865 15663\n4787 10564\n5896 12050\n1955 11356\n906 12043\n2236 7907\n8839 10536\n12405 14914\n2449 16479\n7848 13222\n3767 15080\n2032 10794\n12045 16525\n5153 13495\n1625 3929\n4598 8095\n9926 15550\n1540 11487\n14455 16737\n761 1060\n13519 14626\n829 4437\n292 2212\n10603 11063\n4249 13438\n8202 16241\n8493 9281\n9585 14448\n2912 8159\n3757 7154\n10971 14602\n6629 16167\n9941 17153\n4595 14143\n270 1754\n915 14852\n11079 12563\n4515 4936\n10473 16388\n6112 6841\n3956 13573\n8499 16947\n11921 12385\n7496 10873\n5387 9502\n13013 15768\n862 6665\n8785 16791\n2662 15211\n6693 10687\n8945 16675\n7972 15052\n459 6618\n2342 11165\n243 8779\n6936 14508\n12065 12536\n2618 12399\n2565 5102\n807 8248\n3615 5074\n9706 11963\n6843 9343\n9148 12349\n1472 14800\n10740 13597\n880 15223\n11736 14768\n7354 8603\n630 12036\n941 13961\n5899 10353\n13526 14816\n4636 14821\n6394 11714\n12781 13343\n5718 10515\n8405 15415\n250 8384\n2808 7533\n9881 12870\n9035 15500\n6718 10497\n2743 11908\n2742 3854\n1055 3855\n3684 10430\n2856 3942\n10808 16582\n781 8682\n4476 12276\n6890 8510\n1983 6580\n5785 11087\n6451 8083\n976 4201\n11893 13493\n2103 2910\n2920 13919\n2949 6921\n777 5533\n15415 17415\n3355 9885\n394 16593\n5038 10965\n3193 4599\n12933 16354\n3464 17290\n3615 8314\n1808 4169\n6027 8701\n8608 15830\n9683 14817\n7025 13598\n8254 14620\n15256 15912\n1667 6541\n7779 15876\n1180 13149\n4498 12944\n10545 14756\n7561 15574\n2404 9196\n7269 15428\n17 14670\n8543 10210\n9971 13555\n5620 15071\n693 7358\n2971 13177\n10115 11039\n10746 13477\n317 4143\n14 307\n5266 7644\n9226 17360\n472 2242\n4806 16606\n4469 7358\n4434 14451\n14221 14275\n7144 12963\n379 11682\n1457 2973\n4887 8707\n11040 11632\n9053 13020\n10371 12718\n2539 11463\n9034 10189\n9830 16666\n3216 17163\n12135 12745\n8914 11089\n2892 8329\n864 12902\n11198 13103\n513 4969\n8387 12379\n1005 12835\n2075 3549\n5 13429\n11593 12799\n2409 7325\n6404 14729\n5949 8562\n4832 9058\n1218 2071\n5012 9607\n609 3169\n5699 13497\n1966 13693\n11086 17093\n8238 10969\n10735 14252\n3588 10191\n923 10555\n11816 14331\n2273 11043\n1898 15858\n2051 9817\n7802 16733\n9077 15430\n1922 4096\n6538 11419\n2035 14974\n2680 11143\n442 9448\n588 2607\n4741 17171\n5450 7310\n4944 9820\n2208 6354\n1313 8863\n4076 10429\n15282 17257\n7982 9956\n10030 14384\n4135 4806\n1066 7498\n8974 11259\n2742 9710\n3208 10433\n629 17399\n5639 7994\n6565 7255\n6238 13533\n4538 16643\n7708 9405\n7813 13426\n5529 17388\n769 4111\n7703 8360\n8341 13402\n2841 10331\n693 11690\n560 6643\n1087 1321\n1303 8158\n2854 8178\n5238 11227\n6749 17098\n2369 16524\n9614 10498\n3454 17342\n8027 17009\n5710 11369\n14248 15656\n11200 15994\n3897 5195\n2817 9472\n7985 15531\n207 11443\n1891 3215\n8261 10706\n9736 17303\n10434 14936\n6052 16249\n11289 14467\n5310 8737\n735 4090\n12961 13567\n4644 10495\n4850 9871\n6097 7518\n4207 11386\n12637 17048\n8568 8620\n540 1080\n10381 16385\n5993 15898\n1014 6057\n12311 17107\n1033 8022\n15855 16401\n618 6464\n4807 8022\n6701 16395\n736 1101\n4207 12607\n2929 5703\n9839 16071\n9617 11154\n8682 13891\n10091 14169\n10186 12124\n9345 9837\n5022 7853\n5924 9583\n12167 13534\n2159 10213\n242 13306\n13360 14722\n8929 15111\n1721 10676\n4779 16207\n425 9660\n6844 13445\n2169 17196\n4069 12624\n10998 15129\n706 12973\n3917 14524\n15818 16633\n1735 11674\n6438 7151\n9233 14073\n17184 17318\n7496 15301\n9928 10789\n7841 14769\n5858 11339\n294 4689\n2644 15465\n3141 8062\n4391 6042\n2305 3238\n16093 16590\n2300 10594\n3615 14806\n3806 9560\n6229 7667\n225 11648\n5458 7716\n6610 11884\n2556 7507\n7601 11557\n2004 15120\n12484 13535\n1804 4988\n159 922\n14719 17216\n2497 13064\n6007 12802\n13178 16479\n9681 12532\n847 9851\n7911 12600\n10946 12602\n7941 8856\n8617 17077\n5831 13004\n1701 4737\n14260 15778\n4322 7299\n949 2916\n5800 8307\n4717 6341\n3898 12162\n10611 15349\n14830 16322\n532 1196\n7247 10643\n4688 16323\n15679 17012\n9902 13797\n3551 6208\n2963 10016\n3986 14322\n8526 9330\n5344 7338\n5701 9741\n1006 14431\n7020 16714\n2464 17219\n2031 6395\n2777 9918\n2625 8716\n9659 13859\n5328 14011\n3853 11796\n8035 16530\n4129 13703\n5024 8604\n1769 9404\n11685 13332\n38 2167\n8594 9690\n11783 12795\n8064 11877\n1113 2054\n13200 16969\n13361 17328\n2745 6452\n9064 11359\n2308 11816\n5173 16311\n7485 11739\n2579 6205\n9666 14114\n7900 13506\n9176 13533\n6859 10861\n740 12715\n9145 9265\n6183 9251\n3454 5530\n2158 7120\n8296 14917\n761 4318\n4636 8974\n5154 6935\n11930 16287\n5813 17184\n6666 12636\n3886 10080\n3332 12457\n5582 6476\n3217 11179\n1267 1715\n2186 10307\n685 9257\n2759 7628\n1090 7816\n4339 17350\n1054 8839\n170 5588\n770 16599\n5816 13669\n11913 14558\n8874 14167\n7231 9083\n11606 14769\n10049 14292\n13340 16126\n12895 17195\n2436 14922\n5662 10698\n9858 13033\n10206 12765\n4093 10540\n5604 13014\n288 13058\n3853 10507\n10874 16136\n1425 6833\n9190 11170\n5110 5440\n6400 11393\n8963 15832\n1600 4523\n3689 5165\n5731 14955\n3608 13185\n7419 15518\n2843 4913\n1290 13707\n7211 9212\n10115 11927\n8372 13284\n6988 11842\n9728 17440\n10476 13302\n13069 14727\n13722 15123\n5904 5997\n8700 10345\n14636 15943\n1638 5674\n4037 17280\n8040 14067\n1790 3519\n189 17103\n8303 10928\n11501 12521\n11452 15943\n3248 10650\n4436 8015\n2620 12239\n78 4592\n1312 9049\n1379 8274\n3483 13236\n5606 9703\n219 4515\n4084 11495\n5434 8316\n891 4543\n271 1755\n9917 12046\n5564 15588\n7687 14347\n187 5788\n1818 9258\n6377 17086\n8686 13990\n5548 11609\n14612 16132\n2318 4656\n6183 7710\n4627 11321\n1701 13425\n3771 16332\n4252 10940\n8864 17372\n2010 4262\n14015 15906\n1921 4569\n12688 16118\n1312 6608\n487 15211\n1884 5872\n7528 14282\n4167 8524\n2779 2842\n10877 15235\n3509 4587\n8977 17286\n2480 11630\n6487 9373\n2248 12563\n3308 15202\n2904 5992\n8717 14332\n1544 8795\n3485 5675\n12618 15682\n15425 16154\n14935 16631\n4170 9364\n1989 10507\n4945 5800\n1619 11588\n3849 9571\n7171 16551\n12723 13022\n4951 5608\n4175 6381\n3656 9657\n2467 15583\n9739 15208\n6479 8075\n4829 13751\n994 16429\n983 4512\n4883 9145\n5912 16998\n8328 12714\n474 7022\n4915 16823\n3085 3255\n2395 15360\n10492 12389\n13016 13763\n5951 15418\n4184 15375\n850 11716\n8611 17158\n1760 1886\n8359 9672\n4164 13527\n6115 16112\n5805 16898\n5162 12482\n69 13390\n6793 11529\n4633 15437\n1520 6767\n8521 8544\n9682 11148\n5318 15756\n3145 11553\n6632 10533\n6653 13282\n8330 9294\n8962 11057\n2367 7949\n14650 16833\n10251 15458\n195 7672\n12273 13984\n11226 12482\n4530 10853\n9537 15652\n97 5330\n2788 16928\n9280 12533\n11832 14254\n11327 17300\n5403 13876\n1980 17327\n3886 5216\n2210 3091\n11733 13356\n12435 14365\n11885 13836\n2890 4168\n6575 15925\n10588 14061\n9760 14355\n2777 13320\n6793 12133\n181 4053\n5966 10399\n10499 13704\n1686 4651\n6051 12543\n10177 10595\n4455 17186\n15208 15842\n193 1882\n3982 5043\n8737 11769\n530 13374\n8353 8500\n6926 7979\n5979 7370\n5809 17461\n16310 16689\n3968 8421\n9938 16688\n568 9645\n11322 14712\n10181 14856\n11240 12427\n3359 8240\n7354 11054\n1578 8497\n5650 10750\n135 8616\n5406 8396\n7732 16413\n2866 16043\n2117 17267\n6106 9570\n11863 13776\n12849 16614\n7417 12541\n11994 13483\n81 10074\n7137 14887\n744 10184\n3895 8285\n3178 13590\n1460 8805\n3747 16855\n5278 15183\n8109 10868\n5630 8195\n8743 11504\n4927 13181\n8788 9824\n1174 2532\n4469 6184\n12252 17352\n7446 15866\n8679 10360\n10029 13872\n6852 7232\n9335 11498\n5818 14843\n10923 13424\n3682 14265\n8968 12229\n6605 9342\n8258 11104\n8709 15632\n3966 4373\n4247 13353\n5556 16840\n2340 8958\n12959 15592\n3446 8743\n5431 11708\n7399 7453\n12058 12374\n12740 14188\n7696 9353\n1808 8629\n8612 10395\n12910 14018\n223 15419\n5392 8200\n325 16117\n3034 4756\n16651 16766\n4809 13015\n2510 14217\n4532 5625\n5125 14244\n3882 9977\n14281 14625\n8923 9182\n9258 10415\n2840 3179\n996 10124\n3171 11925\n15125 15552\n697 7983\n11562 16329\n3275 6936\n496 12077\n1477 13419\n5525 10353\n4544 5756\n8973 14258\n1071 5526\n10526 15335\n2140 15605\n4401 16550\n564 10381\n1439 12225\n1620 8902\n4695 13243\n7820 13826\n2574 3476\n2255 6003\n16051 16386\n542 5456\n4010 16043\n6572 15949\n10772 16741\n3074 11928\n2559 6755\n2182 12298\n7278 7522\n2006 10869\n3290 16566\n8310 9656\n8286 13104\n1557 11799\n12602 13975\n3859 10427\n5756 13045\n4161 7031\n4885 12908\n2127 5217\n1648 16498\n2094 14236\n6134 7644\n7957 13309\n951 13848\n9514 15622\n12130 16327\n9014 14942\n3237 6419\n1281 3327\n7907 11813\n4770 14060\n12188 17179\n2286 2856\n3709 5065\n4582 9523\n593 4203\n4834 10502\n8609 16420\n4745 12082\n6289 14111\n1864 4648\n9466 11817\n8614 12830\n1755 6982\n8249 16869\n6548 8258\n9740 11662\n8934 16099\n7805 16819\n54 4472\n12206 16408\n313 2555\n367 12819\n1546 2996\n1340 13484\n4696 6390\n857 17158\n7609 16711\n4983 6975\n5543 15300\n2963 7803\n12634 15797\n8062 8296\n2977 12625\n3731 10844\n8591 15266\n295 1180\n8214 13617\n4782 14509\n541 11693\n5346 12120\n1288 3661\n9701 11558\n4809 14405\n728 16811\n9284 11651\n5832 9777\n7913 8318\n1155 15518\n925 5583\n14977 16384\n1685 8364\n6833 14620\n3229 10906\n11898 12891\n496 10674\n11303 12189\n1464 8499\n7141 14942\n2454 4189\n11278 14017\n2629 16421\n949 9977\n5205 14257\n4237 15637\n5751 6476\n3971 15528\n9021 10295\n562 1898\n5150 6061\n7569 16426\n2286 5041\n10380 16972\n760 5944\n607 12781\n5816 6366\n2550 5450\n1400 2021\n8713 9589\n876 7163\n4473 15274\n12077 13286\n9479 12987\n15440 16307\n7661 13761\n4858 14566\n1047 7627\n10321 10335\n10718 17063\n617 11600\n4202 10526\n5474 9016\n865 9942\n3097 16207\n10856 12798\n2379 12105\n7899 14583\n11119 16191\n4174 16333\n2723 14154\n7316 9049\n4544 7027\n4073 12838\n5316 12214\n8509 15933\n1310 9786\n13685 14075\n3391 9894\n3725 12123\n143 10880\n6202 15026\n3163 8952\n7794 8737\n11022 14131\n1468 8280\n4968 10650\n15913 16349\n4911 8244\n137 5930\n5142 12784\n402 9675\n10319 17426\n3196 5488\n3640 15306\n5880 7075\n9825 12957\n6657 15978\n8068 11138\n15810 17205\n6475 14889\n14307 16428\n3896 5075\n6710 7261\n5833 6743\n10893 14811\n313 16288\n683 10714\n7107 8421\n957 4399\n3149 14760\n14076 16755\n3390 8888\n1529 10227\n3098 11990\n887 10971\n1410 7111\n5509 14752\n7014 17363\n6020 12254\n5945 15831\n5632 14475\n3757 14546\n1221 17187\n14378 15050\n10913 17158\n1138 9204\n1460 11873\n676 7279\n2258 8503\n12463 12735\n6136 11100\n13320 14737\n32 4087\n3990 15175\n8456 10406\n12078 15994\n3083 16266\n1402 16434\n9770 15873\n897 7117\n7073 10789\n10725 10806\n10791 14077\n15162 17355\n10164 14598\n4783 4875\n2437 4212\n7851 10468\n1989 15747\n7383 14033\n12206 15549\n742 5651\n10871 14663\n6694 10722\n4889 9138\n483 15640\n3035 6770\n8995 9293\n1268 15758\n4871 10517\n4591 15228\n4287 8169\n1402 4200\n4113 12637\n921 13276\n4012 8851\n422 8569\n10258 14960\n9650 15564\n7988 16492\n7611 8340\n3343 11187\n9453 12550\n10191 11914\n938 12482\n37 15433\n6093 12024\n6798 14069\n5607 14343\n778 16495\n3540 10387\n2894 4385\n1284 14950\n13437 14700\n5741 6071\n4299 6942\n5740 11911\n6263 15011\n3018 16080\n1290 16481\n7418 14305\n15085 17313\n643 16253\n7402 15826\n10602 13358\n3064 11440\n6660 15960\n4195 15358\n5429 14522\n1455 8860\n9351 14606\n12770 14544\n562 7287\n884 14734\n12817 13616\n9641 11741\n4878 10404\n7766 15851\n6242 7237\n2310 7405\n2551 13786\n7605 17364\n3021 5591\n3481 6887\n10454 15663\n11394 13574\n8742 10080\n9061 13402\n4976 6107\n12003 17287\n12621 17390\n2336 16968\n9746 13242\n906 14606\n6071 8054\n6038 9286\n8049 16061\n2948 12087\n7917 9490\n15817 17351\n16796 16868\n5360 11302\n4769 14306\n5344 11155\n2785 5929\n6267 13264\n6956 13887\n3688 9971\n9090 10584\n3138 14820\n1702 4241\n8221 10246\n4981 9246\n8887 10815\n3843 13316\n20 6948\n1123 2595\n3936 5830\n9586 10458\n1584 6071\n1145 1748\n4119 8095\n6302 9822\n704 12458\n10204 16728\n8044 8130\n6299 13206\n3220 12306\n6548 13490\n13075 15077\n5754 13501\n12406 15934\n11521 17105\n1936 13315\n778 6004\n11169 15914\n6050 11861\n10388 16302\n4598 15998\n8 14634\n7870 10698\n389 4778\n12681 16213\n282 3945\n9299 9580\n1699 12657\n2356 14561\n12938 12965\n6743 16635\n1335 5460\n1258 16054\n3263 9935\n8295 12205\n2932 4984\n6884 6998\n3160 16671\n3064 14990\n5187 11769\n6700 12441\n1031 6293\n349 2067\n1966 7893\n10416 10834\n601 11880\n1889 2592\n9153 16327\n2239 9587\n9313 17430\n3472 14540\n3193 8118\n11138 11845\n12935 17250\n6561 9257\n942 4805\n13417 14069\n2127 12368\n66 3906\n7627 8152\n2726 11509\n444 7557\n2320 7920\n1609 13584\n3149 8058\n1219 12076\n10938 17315\n583 15402\n731 3603\n8892 11816\n10002 16336\n3007 6568\n8599 8957\n2951 16038\n3785 13321\n1471 12538\n13711 14431\n364 1815\n6287 8327\n4360 13005\n9427 12107\n9113 13962\n2169 6571\n12901 17336\n6309 14728\n470 11682\n12988 14963\n525 2775\n9019 12757\n3062 10635\n13430 16685\n2931 16964\n7535 13739\n5993 14544\n4990 14614\n2127 9528\n11065 11095\n11134 11536\n3873 14239\n784 8618\n497 15208\n5245 16059\n2585 15147\n4364 15013\n10765 11983\n4613 7108\n1666 7536\n8129 10395\n6278 9372\n2196 11139\n3604 5207\n5394 13107\n9563 11606\n6232 13908\n4759 11797\n2487 11568\n5499 6473\n594 1970\n11546 11992\n9662 16838\n2672 13589\n11924 14376\n1456 11641\n6995 16741\n12070 13092\n4664 16410\n945 4802\n3653 7297\n781 16321\n2173 3386\n9807 14105\n6742 7403\n920 9483\n6440 6675\n6143 9867\n4090 14179\n8969 14337\n3342 15641\n13278 16954\n889 13703\n8419 12555\n13185 13280\n13576 16796\n4344 14303\n8602 16082\n1086 14401\n2154 12511\n7401 9484\n2939 3810\n4635 8250\n684 862\n11740 15141\n4531 8954\n5579 9257\n5130 10553\n5006 15155\n4235 15975\n208 5599\n8260 13019\n3182 11308\n7919 15656\n11011 11075\n8012 9569\n4220 11733\n8793 12483\n3612 15941\n2730 4627\n8692 11115\n522 14675\n5351 15511\n7118 7175\n7348 10534\n10275 17149\n13172 13616\n868 15200\n10886 16938\n2623 2713\n8858 14380\n4141 13380\n7991 11926\n10057 10136\n3825 16271\n8472 12440\n3656 16644\n1978 9950\n9513 14223\n5065 13380\n4732 14979\n4708 10099\n1067 10977\n10813 16916\n1649 9149\n7238 12295\n6440 12689\n1628 6138\n6173 7095\n3274 10891\n6279 9785\n425 13799\n6422 12341\n9232 14841\n2860 8503\n1392 13795\n2421 3591\n4584 12048\n6970 8002\n433 2033\n459 9014\n4670 11095\n14783 15010\n7788 11991\n12361 12902\n7249 11776\n11476 14312\n1723 4992\n5406 16707\n9867 10790\n9044 15968\n2451 12755\n8647 13904\n6744 6788\n6860 14092\n1420 6424\n15261 16287\n10272 10723\n924 7722\n9476 16003\n2569 14162\n7346 13300\n12384 15048\n7810 15209\n4054 14807\n1871 4493\n7976 8715\n4674 8514\n3026 7009\n11854 16202\n10291 11338\n15726 17423\n2301 14702\n4018 11296\n1520 8636\n6312 15969\n1335 6703\n764 12396\n11696 15213\n4272 16358\n8014 11894\n2107 15600\n3493 10266\n2435 6240\n8625 10808\n8263 8628\n3638 10627\n6005 17151\n4364 13872\n6602 8386\n3553 13681\n12330 12676\n4909 7362\n1008 15232\n5517 9874\n6614 15924\n16782 16860\n3033 13080\n9013 9546\n14007 14760\n7288 12867\n10664 14175\n4552 5345\n12232 15206\n11553 12574\n5412 7353\n1423 9364\n6102 9854\n1550 4175\n14483 15010\n5610 15670\n884 12427\n11311 15531\n1084 14266\n5770 9646\n306 4274\n4894 10123\n793 11258\n4871 14748\n11251 12456\n9426 11727\n7903 16946\n6285 17419\n12248 12969\n4122 9869\n8124 10709\n11212 17000\n1097 15448\n15450 15819\n4583 9081\n14341 16930\n6284 7699\n387 14199\n307 4621\n7814 12081\n2256 10503\n672 7482\n7826 16260\n1603 7344\n8094 12742\n10190 16739\n16332 16353\n1974 4987\n713 13812\n4644 15755\n1655 8484\n3728 16137\n5527 12022\n3049 16357\n8961 14470\n11592 16029\n7560 9044\n7777 10183\n731 7158\n9329 16953\n5961 14451\n15650 16817\n10905 13802\n7514 12323\n13490 16559\n10384 13790\n580 9272\n7419 9262\n2079 12650\n2938 15516\n1170 8833\n1127 9821\n6399 9774\n2247 14545\n6565 15609\n6244 10958\n14830 17403\n1702 8032\n2822 11148\n4263 15125\n2163 6176\n5955 8199\n13348 14846\n7659 15797\n12792 13577\n7785 16528\n11396 13358\n4677 15078\n7770 16801\n10108 16724\n8938 15789\n7790 10214\n3204 14372\n12412 17256\n13500 15664\n1766 7145\n887 12744\n10047 13668\n10373 14564\n8071 9487\n12806 14936\n6655 16109\n11192 15660\n11858 17207\n2525 14668\n6916 14242\n10148 10656\n197 12583\n5645 10349\n12547 17282\n6182 11096\n334 11178\n2993 10276\n5968 16158\n13036 15079\n4681 13507\n2260 2712\n16632 16692\n3839 13778\n9782 13465\n5414 8849\n16539 17359\n4804 16598\n5850 9359\n12377 16899\n1715 3107\n9542 16136\n13104 13795\n11817 14254\n6181 7936\n7116 10348\n8282 12401\n8791 16752\n2789 10881\n14033 16319\n5269 14325\n3803 13080\n2097 15007\n15229 16458\n6903 13170\n9363 15972\n4769 17027\n1844 9781\n15254 16216\n1224 9995\n9466 14190\n167 12420\n7970 8586\n6948 10288\n9885 15382\n5376 11929\n11557 15908\n6092 16690\n4247 6904\n5730 11920\n6220 9446\n260 2591\n10662 15953\n7442 14848\n2848 16682\n1903 7194\n7340 10851\n11699 14302\n4379 9896\n14680 16709\n2731 6975\n987 9863\n11877 11907\n1930 15952\n145 1443\n8427 17085\n5875 10731\n2966 7782\n6035 7802\n15083 16069\n2102 10157\n7295 13322\n5832 11344\n10190 15544\n6774 15163\n8639 16477\n950 2488\n2942 12973\n1314 16177\n4895 17245\n4004 16484\n6367 16363\n8982 17371\n6334 14799\n7778 12774\n2726 9771\n11569 12950\n1711 2907\n4834 10220\n9947 14230\n9942 17226\n9023 11460\n2838 5936\n4793 9002\n1083 7776\n11876 16631\n4031 4316\n3353 14730\n9874 17167\n13373 15266\n998 2261\n7823 9742\n2444 2537\n8611 11545\n968 11750\n2452 9657\n984 7122\n13959 16029\n5822 7250\n660 1049\n4969 14733\n3681 4493\n12752 15990\n1710 2556\n6107 6891\n1569 16502\n11317 13733\n2154 14817\n431 13502\n1144 4821\n11052 11201\n5349 12975\n5643 7530\n2691 8765\n14731 16909\n11264 13734\n5437 15150\n6627 6833\n3784 12794\n5573 12437\n761 13119\n3827 5196\n4369 5679\n15256 16273\n2452 2745\n4129 8963\n8234 11406\n7506 8545\n2298 12189\n550 13201\n3090 5017\n3423 11042\n5873 11339\n7133 14706\n10322 12886\n2441 5279\n6767 10318\n4763 16773\n8146 12973\n4596 11788\n2538 9795\n2303 17192\n3395 5683\n8739 14974\n3988 16415\n4460 13880\n385 866\n1489 12831\n4053 17252\n6547 11084\n9627 14456\n369 14022\n4194 16309\n10866 14947\n7424 8035\n10328 17232\n2791 4885\n653 12551\n2133 16463\n11803 13934\n3806 13119\n5895 16681\n1181 5760\n6517 15206\n3341 8095\n4495 6899\n10209 11275\n1130 14602\n6741 15234\n2963 8101\n1721 10536\n2583 4144\n13634 16659\n12097 13246\n1844 7126\n1518 14155\n324 16817\n7641 12463\n5671 7973\n1562 7769\n8325 14013\n9180 17420\n4473 8610\n5677 10169\n5815 11252\n8657 12408\n13399 15883\n8874 9989\n5680 10811\n3182 4190\n9908 10415\n4957 15079\n2707 13393\n4592 10874\n4554 16556\n2899 5370\n7568 16843\n8882 10994\n8717 16906\n23 3645\n3280 8276\n6795 10551\n9158 17362\n5074 14270\n9095 12595\n356 16310\n155 524\n5273 6836\n6489 6718\n9276 11349\n6112 14195\n1960 6162\n14433 15378\n2877 13057\n3629 3893\n2969 4265\n7682 11900\n10399 15983\n2911 6170\n4556 15469\n1783 11858\n353 6154\n7024 13470\n4031 15881\n2601 17256\n1766 8788\n3384 4785\n1541 9001\n10181 13992\n11974 16745\n6891 12650\n9928 14010\n10601 13960\n2848 6779\n9547 10185\n4780 15441\n4254 10186\n1510 7972\n2711 11288\n14354 15440\n3161 6003\n693 4460\n9555 14177\n5424 12198\n10221 13435\n204 13080\n483 14177\n8009 14685\n5430 13221\n14805 15926\n11573 14569\n3441 5587\n6259 7026\n5502 8439\n1754 14535\n2154 8369\n5579 12551\n9880 15618\n3448 5172\n5806 7131\n2344 12758\n2183 9374\n11395 16907\n4860 6421\n1200 11493\n4402 6957\n523 4989\n9040 12736\n9115 13510\n4340 9319\n16295 17051\n8661 16054\n12519 16913\n11994 14101\n4146 16604\n9069 11886\n1944 13675\n4643 13919\n7151 11228\n7433 17299\n228 7483\n10714 16424\n3065 15001\n6852 6922\n6780 16267\n881 8589\n2887 6564\n6288 12010\n9135 10875\n2407 12673\n4415 4916\n5494 6867\n14622 14646\n6391 15993\n3095 14523\n9867 13526\n2110 17118\n3567 13733\n5785 14417\n3980 16910\n3387 10682\n319 6135\n1490 10449\n7086 9584\n4225 9487\n1037 15295\n12734 13167\n1955 3296\n10406 16307\n3822 12949\n928 6622\n1706 11808\n1599 6112\n13278 15562\n249 5944\n3769 11934\n5711 9829\n4605 11409\n4544 15598\n11483 17341\n6080 16173\n14849 17390\n8292 14889\n9147 9667\n7705 12490\n6616 11104\n764 2133\n5098 15381\n7143 14029\n2176 6105\n2951 15601\n7947 12008\n14060 17401\n5822 6756\n7929 10618\n5924 11295\n2300 13317\n1015 17187\n15209 17388\n7938 15171\n2984 11279\n13965 16760\n1995 16070\n4012 9220\n12312 14124\n14242 16141\n7327 9174\n698 15868\n602 5964\n5306 7306\n5659 11627\n5040 16812\n3121 14111\n5506 10799\n2889 9952\n6732 10652\n9288 11206\n5929 13044\n1363 13455\n9410 12330\n4915 6139\n93 913\n129 14753\n3109 7705\n38 14552\n8176 17169\n5551 9860\n3224 5197\n11701 16764\n3315 12337\n9548 13102\n3557 4929\n10264 14702\n12154 13806\n7782 9187\n927 14611\n772 6306\n3054 6812\n3121 10284\n1909 12556\n7882 13125\n1253 16019\n10310 15215\n6032 8644\n9446 12636\n6857 10428\n3647 10374\n8861 14913\n1120 3998\n703 9209\n11662 12247\n4268 6068\n1551 8580\n14533 14841\n2370 9154\n5714 11423\n2367 5163\n4365 9529\n6968 9710\n7916 16820\n2087 11196\n5196 16878\n1185 9081\n671 6324\n9174 13306\n2998 13427\n971 12533\n1991 8782\n11697 12931\n1559 5634\n11208 16352\n7405 8256\n8270 13085\n1281 13186\n3519 7866\n10353 13289\n2262 6957\n487 5076\n8651 15914\n421 7989\n1032 2543\n6262 7785\n10025 15068\n12746 14078\n323 13208\n1403 5550\n4178 6242\n15757 16880\n5981 17273\n271 1712\n14992 17314\n336 9352\n1072 11689\n2620 6277\n7793 9277\n7335 11109\n4671 15167\n965 7072\n12949 14419\n10446 10527\n7645 9751\n7825 14369\n3117 14699\n3380 16250\n1333 10865\n647 13433\n8967 13953\n5639 14160\n446 567\n5193 12505\n5281 14646\n8210 12815\n10234 11036\n2726 3818\n6444 11352\n3912 4613\n2237 8142\n7817 14217\n3905 13196\n5231 16722\n8634 11591\n77 2786\n2758 7115\n4268 6338\n1207 10834\n8364 9451\n9182 12878\n4164 10631\n4071 6695\n3595 11827\n9309 16390\n10650 16251\n1927 3233\n11415 16910\n683 17017\n3842 5693\n5745 13700\n13 10208\n4185 14336\n105 9182\n2615 13304\n10844 14506\n14241 16330\n4873 7455\n9247 16568\n290 13647\n6102 9354\n421 6533\n1798 4848\n671 2747\n1015 16888\n9731 12515\n4493 8264\n4881 16030\n1310 12172\n13481 13547\n10575 15006\n11529 12499\n5857 8841\n4007 4742\n414 1291\n8851 14179\n218 15224\n6687 8247\n1587 8526\n2439 6079\n8162 8940\n9902 11383\n3295 4863\n4930 11200\n294 12444\n2289 16391\n11116 11929\n10274 14786\n7938 16930\n3288 16826\n9369 10277\n7200 15464\n3160 14474\n17201 17248\n5693 15452\n534 16283\n4687 13243\n5978 12366\n6002 7867\n5826 11165\n2453 2458\n5851 15522\n2002 16706\n10586 13238\n6255 11945\n7885 13909\n7868 9540\n7347 16264\n376 4857\n3312 6196\n3373 6722\n111 672\n3929 7198\n2424 11732\n1103 1434\n897 10353\n4932 15503\n6125 10929\n4653 11177\n14746 15490\n14198 17072\n3162 15666\n1905 6407\n8319 11525\n116 14166\n8699 11646\n1586 2658\n682 9122\n582 1626\n13359 16674\n1276 14989\n5884 6097\n2052 16767\n5661 8496\n1953 13800\n8215 9154\n1134 15250\n711 5775\n7363 11123\n12272 15867\n5714 9563\n1236 5043\n3890 17129\n9689 13944\n851 1323\n342 5384\n6345 12310\n8937 15464\n2208 16075\n767 7562\n1724 13493\n78 10913\n3521 9487\n4622 11574\n3304 13091\n10251 13286\n8110 12300\n452 15047\n738 13587\n1212 2085\n4275 11644\n7303 9569\n2979 13797\n2459 8239\n12878 15895\n1027 7743\n140 2457\n11066 15797\n6091 7022\n1594 9432\n3536 10001\n13574 15334\n176 7632\n4781 7610\n3523 11272\n13003 15012\n2281 11559\n6713 15762\n3160 5684\n5677 8203\n11427 11527\n13100 17453\n4613 9663\n8875 16557\n6657 15910\n6543 17081\n8595 9769\n9694 10947\n2605 2797\n3486 12840\n5902 7675\n9992 15929\n2810 8520\n9701 15800\n7091 11445\n139 10217\n11514 16676\n2177 4289\n556 8409\n5578 8240\n9730 14861\n995 10576\n5298 7769\n5767 10407\n11694 13556\n3504 13446\n4074 4206\n16549 16723\n6878 17257\n1518 6285\n5549 9454\n9380 13395\n5962 11646\n783 5980\n4053 12652\n8993 12238\n3711 11282\n1179 8956\n324 12134\n875 14013\n166 13136\n1931 15509\n6581 15372\n3587 9909\n5502 16119\n927 8399\n4710 9750\n6476 15394\n323 10332\n1158 5224\n3291 16972\n302 16401\n3780 14407\n7911 14886\n4588 16981\n267 7634\n7930 17248\n5301 7683\n2937 8849\n9095 15319\n2336 11906\n8022 13830\n4453 12864\n3135 15883\n7789 10045\n72 3562\n2246 3692\n7040 8669\n4015 16525\n2780 9461\n3568 6920\n10196 12060\n3647 16916\n11709 16494\n7360 14873\n1253 7410\n8645 12393\n8355 9124\n855 13526\n4972 16545\n6904 12720\n1113 14136\n4289 14060\n10426 16187\n1099 16192\n14349 15145\n7883 15081\n11511 12198\n8389 13847\n2437 5515\n8719 12812\n4373 6065\n12989 17029\n4339 7092\n9006 10613\n14669 17335\n5683 5732\n2859 9377\n4165 14044\n4209 10234\n10115 15433\n429 10589\n4243 14670\n4780 9309\n501 16675\n4166 6692\n15274 16496\n3041 14057\n391 3942\n7912 14612\n12967 14892\n1736 2141\n9419 17038\n4707 7082\n96 3666\n1243 11489\n9268 16842\n13213 17074\n4025 6408\n3358 13158\n11345 13129\n6569 16303\n14627 15931\n1084 13092\n8406 12201\n6260 10108\n6903 15151\n6916 7341\n3105 9138\n11961 12041\n9687 12177\n10939 17426\n4107 15145\n6507 16244\n6533 7862\n537 14885\n2265 3314\n15401 16819\n5873 15629\n2908 5683\n4540 12163\n373 8840\n1112 11780\n7792 11451\n5414 13285\n9648 13062\n7920 15054\n34 7706\n7147 17140\n1573 3177\n10312 10439\n9454 16941\n14832 15735\n5964 16870\n3349 14507\n2676 14884\n5066 16989\n2922 9100\n2048 2424\n2417 4156\n9867 11351\n4098 8458\n96 4870\n9381 17141\n3161 10912\n6210 13298\n6214 16447\n5582 11616\n7561 11385\n3527 6060\n1797 11196\n14912 16184\n7247 12134\n13392 15318\n1431 16654\n8957 16150\n4104 15419\n4810 15284\n9701 11881\n13126 15915\n12087 13987\n3289 3942\n1905 16131\n689 13095\n1714 11859\n2626 8776\n14789 16235\n8249 13241\n8771 14506\n4234 10443\n1239 13312\n3607 12075\n10398 12511\n2915 10066\n94 12305\n2078 17306\n4789 14938\n1008 15381\n470 5821\n4714 15308\n2617 17339\n79 3737\n1247 13852\n4649 6201\n14305 14535\n141 13487\n1232 5684\n826 12533\n12656 16224\n4285 8556\n5141 11996\n2746 8824\n1002 5597\n1251 5613\n9185 15925\n6042 14702\n5357 12686\n5005 11525\n6164 13101\n1302 8927\n3627 8318\n7467 13271\n4654 10007\n16703 17313\n1924 10730\n2669 13877\n10955 16594\n10349 14157\n4757 4944\n13843 16307\n7115 10381\n7991 14407\n3863 4378\n118 230\n9279 13868\n14853 16146\n6098 9683\n1067 6108\n3873 7651\n3137 4526\n74 9695\n1387 7302\n13873 15122\n6165 13057\n6265 13110\n7359 13869\n14878 16360\n5389 9103\n4990 9017\n12940 16500\n4932 11338\n8606 13476\n11646 14573\n4197 5311\n10615 14332\n1483 17165\n5898 14609\n5665 12048\n12043 13987\n143 6119\n1013 9072\n13919 14943\n12119 14236\n5931 9569\n12895 16762\n256 3043\n11243 14372\n9478 11772\n10654 12853\n6886 17013\n905 6659\n6648 13168\n10564 16114\n11800 12028\n637 5667\n8665 17214\n9759 14531\n11794 14944\n6494 15370\n4152 9191\n12726 16637\n13066 13468\n6817 10597\n8442 9264\n1053 11945\n1981 15927\n6882 9596\n13580 14703\n13962 16962\n4286 9710\n80 12449\n2366 15247\n7520 11939\n10277 10699\n6080 14762\n5507 15693\n4025 14175\n6546 13759\n12001 12620\n1044 12079\n2876 15201\n6712 10515\n8807 15992\n8110 16959\n12448 15749\n4162 9435\n8702 14441\n9436 17378\n5770 14534\n4258 13237\n3144 13435\n6175 9303\n8647 9848\n2407 13199\n248 10469\n4119 10732\n1738 17049\n1019 2984\n8243 11098\n2619 3911\n6182 7117\n3345 7388\n2943 11615\n578 16785\n59 17311\n11831 13072\n1196 3316\n8050 9317\n2678 10503\n4596 15105\n2382 6330\n2014 10982\n7426 17248\n7966 11610\n453 3485\n1654 14214\n9468 13562\n11161 16672\n684 8999\n4454 7841\n11795 14548\n5293 17114\n3744 14432\n5055 5892\n6349 16504\n7236 12337\n114 17069\n942 7050\n4269 16354\n5243 14740\n9299 17343\n1165 4447\n8909 15498\n9344 12867\n12882 13791\n2056 14168\n5960 10101\n5603 17385\n2823 8812\n13810 14766\n525 17441\n8176 13987\n4339 6336\n684 8231\n16363 16514\n2909 3146\n9864 12612\n11735 12781\n2932 13674\n2656 5739\n10085 14456\n1320 7951\n6383 16284\n12930 14056\n47 13105\n4178 11667\n11059 13936\n887 3899\n14571 16011\n3571 9998\n6811 11204\n7109 11511\n8314 8391\n843 1264\n259 15308\n10041 16841\n10870 16775\n4920 11266\n4355 13504\n5352 17064\n2369 15467\n7992 17168\n5835 14294\n12020 16092\n1531 10293\n4770 7073\n435 3021\n4784 9087\n9519 13004\n5082 9102\n5044 12898\n4478 9394\n1490 11374\n6527 11246\n7328 17330\n9328 12682\n6560 14977\n9133 16384\n7361 11221\n6757 7271\n1795 8852\n14112 16755\n2545 7156\n260 2155\n1310 16144\n12109 17101\n5965 6902\n3715 14774\n11284 16703\n5352 11992\n3113 13962\n9307 10516\n6689 16285\n7184 9293\n4166 15314\n6639 9604\n11095 14510\n10245 14446\n296 2834\n2701 3285\n8723 12555\n3413 12809\n665 12513\n8129 17248\n11699 14851\n7590 13358\n7364 7669\n9678 15551\n4156 13110\n2828 8945\n8169 14738\n8194 12172\n5056 12757\n12149 17206\n1602 9279\n7937 15944\n5489 9905\n14052 14176\n63 9717\n245 14173\n3060 5553\n2245 13634\n544 10855\n3278 10549\n5964 10593\n3423 7675\n6016 10032\n3862 14059\n7178 10017\n1930 7398\n2157 7669\n2188 11001\n5399 14900\n4246 8453\n4465 11330\n5886 16760\n2841 15676\n4459 11001\n1453 12990\n3789 17239\n1920 3459\n9245 10133\n7815 8890\n3509 10538\n4188 9644\n7615 16981\n13537 16302\n2597 8472\n2531 14066\n2712 15801\n15995 17322\n5675 16867\n10148 12081\n3013 4663\n12397 13170\n5123 11487\n325 13119\n7577 8874\n8083 13761\n8510 14418\n4394 4725\n363 3572\n664 7773\n6438 13353\n6219 11713\n3969 12750\n464 13164\n2302 13999\n7408 10453\n4194 15133\n3232 6927\n2270 15907\n439 11992\n3843 5281\n8458 13525\n1312 15229\n11393 15562\n9105 11691\n3151 7995\n910 16778\n6067 13373\n8885 13867\n1120 4640\n9181 14730\n13160 17284\n2963 13394\n11732 14298\n969 1415\n9276 17010\n587 1796\n5289 12908\n1176 6923\n3657 9748\n13809 15076\n1905 15257\n2744 5600\n10065 14746\n219 8163\n5883 11937\n3055 3701\n12168 16534\n2489 10316\n4096 14190\n1458 1914\n500 1730\n3218 3731\n1867 13396\n9696 14826\n8717 9262\n10351 16678\n6290 14118\n6808 10549\n6435 6842\n9526 15344\n2539 16068\n1167 12800\n2216 16848\n11729 14471\n997 10515\n9765 14419\n8575 10330\n4656 8327\n6068 8370\n8493 13845\n705 1305\n13679 17214\n2214 5910\n3475 10479\n321 8697\n5372 17285\n101 14904\n14372 15605\n2072 8571\n3446 13892\n302 4300\n1268 7201\n2987 7943\n3433 9411\n4162 5644\n7823 10260\n10049 13634\n14124 14322\n7040 13975\n7182 12745\n340 1014\n3862 4143\n16022 16694\n10667 12566\n4048 16911\n3469 12098\n10646 12961\n9550 11504\n4842 17232\n6944 12489\n12771 15511\n2375 9598\n2740 14528\n10402 11142\n6387 13004\n11714 12833\n2467 4081\n9005 15185\n9892 15445\n6278 11758\n2798 3516\n9369 16497\n6407 11918\n1537 12116\n1023 7423\n5684 6774\n5466 11861\n5878 14855\n371 14519\n2370 12328\n7110 8230\n7457 13870\n959 10571\n6121 12122\n11073 16435\n652 14742\n16491 17160\n1743 7186\n2615 4107\n6750 12683\n39 7164\n12147 17351\n8858 17292\n5399 9618\n3632 8612\n7080 12503\n517 7599\n10132 10747\n4942 8204\n4079 9510\n7811 8500\n5725 13098\n5849 16719\n3770 15476\n12518 15017\n7446 9073\n4702 11190\n13707 15427\n7413 11898\n10909 16337\n3576 6591\n1505 14239\n1104 10719\n3151 4691\n54 1156\n1213 2342\n484 1768\n12015 14167\n8809 14043\n5890 5995\n76 7150\n4516 11378\n4458 5675\n2537 2558\n4450 16077\n12441 14746\n2337 15182\n3755 15739\n5244 13768\n8 15636\n9258 9794\n13735 14686\n5768 9223\n4439 9642\n1953 13809\n12325 13854\n9758 10978\n6265 11979\n2059 8337\n7600 8029\n3556 7801\n3031 15170\n227 11758\n432 14417\n6998 16126\n2061 14041\n7263 8433\n10463 16703\n497 14792\n6003 8071\n5972 10954\n9819 16257\n11838 13295\n382 15102\n2508 17442\n5368 16105\n10773 16247\n6568 6994\n2194 10197\n4860 9287\n4043 6282\n10781 17068\n14771 16659\n11216 16254\n7018 15942\n6077 7556\n17335 17392\n6120 7053\n3049 13327\n4808 15685\n13393 14125\n870 10024\n5848 8802\n234 5316\n57 6764\n2271 10797\n10248 11516\n10807 11844\n1261 10355\n8062 11746\n1390 9659\n3182 7107\n7856 10318\n6598 10494\n5667 15038\n5339 9192\n1254 15988\n7691 15301\n12712 13910\n9956 11078\n3298 13786\n6620 6681\n8231 10204\n2086 5557\n1052 3782\n7804 17071\n2870 15270\n958 14531\n9897 14245\n4772 7856\n3594 14295\n12976 15974\n3472 4138\n1003 11120\n1837 6732\n14370 14538\n10214 12454\n3106 12528\n1247 7563\n6544 17111\n4437 15401\n1130 8721\n7005 12741\n8999 13035\n6132 13407\n10120 11850\n15316 17239\n13393 15207\n7954 12249\n9567 9685\n10613 14992\n2740 15849\n3914 5092\n5755 9693\n2985 5263\n2128 12171\n1042 5892\n208 1547\n5285 16632\n12749 14849\n9686 13806\n6484 7504\n920 13780\n6521 13575\n3109 9717\n14871 16688\n14533 14850\n2715 6829\n540 10323\n3667 4458\n1528 7859\n5682 8039\n7004 15915\n5265 15557\n15812 17145\n13929 16395\n1979 4634\n11735 17291\n2671 15146\n219 8288\n848 17393\n5546 14685\n1132 7397\n11210 12778\n1861 12558\n4036 5385\n6398 10113\n10918 15024\n1824 5823\n8 74\n10608 11968\n5778 16772\n7725 11205\n7456 10342\n6109 16907\n9184 10357\n4597 5094\n13 5238\n3764 6607\n5055 6939\n3638 5169\n4082 6294\n840 10611\n5045 11457\n167 323\n14456 16516\n6483 7171\n1874 8884\n10626 14766\n1127 2263\n3227 16453\n9621 15327\n11930 17120\n10161 15484\n3799 11182\n5966 15978\n12191 12220\n2769 8757\n12178 15004\n7396 17302\n3962 5432\n12165 13100\n1730 8188\n3678 5620\n7766 10831\n3088 15455\n7105 7577\n3982 9719\n7872 12473\n8659 12635\n7040 9514\n14646 15211\n1682 3944\n5255 14583\n8075 16472\n6920 16558\n2340 10443\n11444 12516\n1450 8140\n11241 16473\n4667 6792\n10459 12249\n6653 15266\n195 3183\n7478 12647\n420 12075\n4473 8423\n1572 2588\n3042 6757\n10683 16995\n286 8385\n1253 11321\n6478 9708\n2179 15990\n2635 7375\n5946 15699\n14798 17041\n6202 12645\n4782 9893\n3775 7655\n2998 9617\n1615 2616\n15605 15941\n295 13036\n1872 11192\n10754 14917\n5353 7944\n502 14507\n2145 4799\n5756 14213\n4057 12733\n12600 14226\n5552 16044\n29 7841\n15411 17392\n17157 17252\n6007 15751\n11773 16140\n1485 16811\n2420 13782\n11030 13637\n6009 8800\n5666 16726\n1222 9284\n13698 14406\n476 5717\n1158 11366\n10519 13846\n8533 16685\n4695 15114\n816 1879\n81 10934\n6254 14922\n8333 8558\n9999 15079\n2004 10150\n1932 12092\n7326 13942\n6502 16726\n11278 13497\n7220 13370\n8872 11180\n5528 9934\n2260 13742\n1443 15146\n5721 8588\n3822 14224\n12194 14396\n2642 17137\n14647 14746\n2764 9145\n8837 15036\n7469 9400\n3739 13885\n17303 17374\n6826 8317\n9039 11673\n13958 17292\n9688 10393\n10044 10104\n3430 10372\n3687 5484\n1801 17037\n7189 12976\n10414 10525\n5923 11980\n7571 15741\n1378 2708\n6701 13196\n4417 5834\n793 7027\n11045 16066\n1239 10272\n1607 8421\n1966 11273\n26 6637\n8683 11565\n6356 7104\n3800 10899\n4986 13731\n3768 10349\n6150 17229\n1360 15677\n11493 14606\n693 2517\n11768 14476\n4250 9014\n6282 13234\n4878 5843\n7291 10567\n15023 17250\n11105 13086\n7484 12469\n11102 16986\n2116 13932\n1408 15730\n10030 12951\n519 4198\n2310 2645\n5688 12197\n14043 15337\n3469 10709\n12645 14502\n10397 12180\n1811 10170\n4020 9181\n1324 9907\n402 6811\n6459 8725\n1746 7666\n131 4152\n3753 15146\n2561 3771\n1636 7218\n9082 16312\n5866 15953\n5664 9947\n927 8040\n3692 4068\n589 16744\n3792 9394\n368 10125\n1564 5471\n6595 12975\n3369 8723\n5829 15898\n389 12498\n12871 14760\n9956 14414\n2365 3245\n5551 9504\n7256 13333\n7724 8247\n9635 9838\n1895 8321\n1856 14251\n4427 11391\n501 2572\n9886 13635\n864 5419\n2162 17015\n2559 16964\n7416 13124\n4576 12940\n3554 9236\n5170 12486\n5312 10278\n7846 16817\n2303 16615\n5622 7242\n6064 16244\n13620 16542\n10563 16166\n1278 15280\n8975 12593\n812 2244\n11810 13409\n3431 9495\n12432 14972\n119 16619\n5711 15953\n7492 14403\n6097 8425\n9619 10404\n2656 8422\n6836 15473\n9390 10546\n6033 16467\n12676 13716\n202 14785\n4498 14036\n10857 10965\n11348 13701\n7682 8828\n7909 8949\n8125 13741\n3903 13304\n3361 11892\n11824 14018\n5442 7702\n2226 14530\n1944 17364\n7938 13390\n5751 9767\n167 16078\n9912 14109\n4105 16877\n448 9393\n5992 17044\n11366 12254\n9448 11360\n128 3760\n6700 13052\n13900 15549\n326 6098\n2496 12189\n4937 6646\n7899 14703\n1624 15420\n8627 16711\n12304 14017\n14629 15167\n9711 14579\n2004 11021\n10223 15566\n2204 7527\n13305 15669\n13610 15714\n3838 3892\n13941 17407\n2163 13255\n15929 16924\n6006 15943\n2962 12132\n11456 12319\n6468 8350\n11414 16818\n9677 16608\n8804 14861\n775 16475\n2044 12152\n662 5386\n3050 7257\n14350 17186\n12210 12797\n11270 15328\n13139 15571\n4766 16358\n10826 15417\n5411 13268\n932 960\n7802 15954\n1270 15790\n1716 16687\n3293 13835\n8138 15546\n15916 16046\n1819 3269\n1860 3998\n3293 15101\n3619 16360\n1820 13015\n4017 8004\n5171 14239\n3305 5229\n1728 6079\n9703 12909\n6199 10525\n4372 7257\n9114 10399\n2231 2688\n1157 14627\n5167 11630\n753 16657\n15676 17430\n1121 10012\n564 6525\n10105 16186\n10908 14119\n11344 14116\n7686 13436\n851 16033\n1630 6442\n1900 10105\n1134 10078\n5649 16666\n7411 8414\n2996 11008\n2762 7705\n172 16243\n487 2409\n4410 10038\n11466 17099\n15755 17339\n4273 9945\n5255 11901\n3147 12629\n9411 13341\n2645 15250\n1130 1564\n9470 11266\n4094 15319\n1042 5663\n9283 11565\n2979 12432\n14705 14962\n4234 10818\n9233 14526\n3691 3883\n8945 9464\n407 4035\n6716 15864\n12621 13968\n3431 4709\n1036 11532\n862 8946\n7619 14576\n2035 3869\n6732 15325\n623 5049\n14046 14480\n3510 16307\n13847 14993\n2861 9655\n1167 6956\n193 2696\n1901 13682\n2407 16309\n3573 14855\n60 2564\n10953 16754\n5 9427\n10931 12093\n677 6567\n2505 3499\n2817 7643\n8926 9755\n5556 7191\n2520 11383\n2429 11205\n9811 12429\n8696 15533\n1278 8654\n5125 5569\n5042 10979\n7142 7358\n4772 12758\n9443 16382\n11032 16737\n5871 7923\n8710 11174\n6433 8480\n4736 14238\n955 9311\n2078 8079\n842 7236\n10071 11091\n4470 7577\n167 16639\n3562 8918\n3592 5955\n1568 4844\n3190 12097\n7579 10906\n6474 12272\n1549 11955\n3099 16036\n1425 10539\n11574 14379\n10916 14702\n3028 11201\n13943 14051\n12035 15651\n4507 14559\n14711 16566\n12355 16193\n2909 9408\n1968 2384\n3170 5985\n5519 7996\n14027 17384\n5219 13188\n5817 11334\n4181 5950\n353 12128\n6413 10423\n221 6026\n498 4319\n4252 9608\n1958 10298\n11155 16869\n4204 15110\n529 3116\n7771 9019\n8716 9487\n5339 13327\n13944 17444\n8953 10659\n1673 16419\n3465 15141\n14293 17373\n1879 8337\n5810 9710\n5210 6429\n8368 11581\n7938 9611\n1761 2199\n14545 14823\n6507 14894\n12369 14349\n2583 12058\n8741 15358\n1925 10297\n6281 6926\n996 4787\n2597 7144\n4894 9060\n8037 12456\n3428 5252\n7716 10289\n4029 14474\n2328 7187\n11614 13260\n748 1284\n4512 13588\n1383 14816\n2389 10874\n6763 9922\n7014 14521\n11249 13773\n7784 9052\n11954 16315\n16267 17312\n3550 6925\n10634 12961\n1392 1959\n6127 16559\n6337 16705\n9595 13792\n236 12032\n4 5269\n621 8813\n1196 4885\n9476 9682\n9015 16876\n1814 10821\n11603 11953\n5579 15606\n3039 15624\n5416 14815\n210 4941\n7987 17183\n8210 11436\n3191 12328\n5933 10941\n4401 9561\n8519 16124\n8133 15831\n8847 13910\n7027 16367\n3032 8151\n11729 15731\n8378 12569\n9131 16868\n8329 13972\n2730 11508\n2483 9476\n2433 16048\n4674 16023\n2620 11826\n2084 8456\n701 14994\n15435 15507\n7942 13253\n2149 8628\n7208 15983\n60 1257\n3732 11232\n1906 7973\n4708 14470\n3416 7727\n1878 11070\n11506 15980\n374 5651\n436 9221\n14204 14846\n12172 15718\n8153 12051\n8046 13199\n2897 16471\n12202 13289\n2143 4195\n12825 16464\n9501 11165\n5668 14032\n1793 16716\n11305 11350\n645 17124\n12598 13411\n5027 10775\n14171 17057\n3244 9399\n6956 17134\n13437 16128\n15796 17311\n9364 16067\n6164 17310\n1564 14504\n7957 12118\n1225 3910\n1500 15284\n4142 9655\n15519 16252\n6236 14951\n8430 12229\n6579 9992\n6856 10747\n9388 14895\n1719 12511\n6248 10265\n6502 16074\n5942 6899\n6652 10572\n14920 15890\n1212 3616\n6775 7404\n10837 15179\n4986 6623\n321 8428\n804 13786\n6849 11143\n209 3979\n514 11764\n5103 14953\n3164 13792\n9932 11494\n6004 15193\n4138 14218\n224 12137\n4990 17175\n2690 16834\n2737 3665\n2020 13388\n8174 8777\n6821 15785\n7334 11585\n15 13909\n10620 11086\n10716 10754\n16758 17150\n5418 8103\n257 7014\n10490 11417\n5067 6038\n7011 13773\n3556 3843\n5430 16911\n3074 5681\n1763 14874\n3936 6325\n3947 10469\n609 15957\n8658 11465\n1081 15125\n12236 16601\n5412 10436\n1449 7443\n12033 13787\n7678 15491\n535 10049\n746 14697\n2603 8448\n8129 11383\n11435 11555\n871 14054\n9230 9239\n908 12381\n4520 15634\n1423 15325\n9433 15362\n4675 12168\n1055 12814\n2106 6286\n592 3962\n2219 2466\n2624 13150\n12918 13683\n11481 15117\n10099 13499\n12153 15803\n220 8805\n455 11919\n2251 6158\n5358 9506\n15647 16480\n8670 15645\n5137 9394\n1660 5642\n11330 16164\n3159 8254\n8386 15621\n1806 13204\n2498 17018\n13645 14131\n2691 4832\n7862 13384\n371 12459\n2624 8129\n4264 10143\n7093 7295\n1418 12682\n1080 6671\n2086 8229\n6871 8545\n11397 16346\n5290 10937\n107 7847\n1100 16625\n15562 16736\n7865 14556\n3196 13760\n2571 12517\n12462 16921\n645 7241\n8322 11160\n4692 14653\n4110 11865\n4667 10682\n1243 1448\n38 5166\n3824 14635\n477 4346\n5831 14374\n4642 13861\n8901 11206\n5806 11936\n9508 14756\n7472 10017\n7394 11631\n16353 16592\n4094 15310\n1325 13335\n901 16544\n956 1781\n9308 17410\n6035 7011\n4341 16590\n7151 14597\n6961 15135\n3043 16852\n7729 12797\n4081 9435\n12616 16547\n5035 12621\n1947 16637\n2238 5651\n1797 12821\n4759 5862\n1361 11033\n12875 13183\n8040 11547\n2982 7623\n3232 8310\n3077 10920\n13404 17350\n8657 9434\n4353 8717\n6544 17428\n2908 13717\n192 11669\n1012 1558\n10228 13740\n4313 4589\n3781 14012\n5706 8632\n3827 8733\n3973 12072\n10547 13831\n13358 13531\n3947 6026\n6703 13936\n12758 16664\n11395 17206\n3626 5568\n11546 13504\n63 6788\n14606 15768\n3293 3887\n2851 12418\n5491 12687\n11333 12288\n6834 11124\n8757 10297\n12518 13120\n15085 16324\n4265 8476\n8710 13652\n5245 6667\n12392 16725\n8238 12087\n9477 9573\n6860 9452\n2635 16656\n11601 15091\n10292 17376\n2781 14018\n1490 8428\n11356 14055\n10071 15322\n8426 13103\n139 7341\n5936 14655\n11478 17300\n6457 6559\n543 9482\n8090 14228\n3899 8910\n4638 8014\n2566 3023\n4097 6763\n12276 16474\n7534 8478\n10157 11518\n2184 13706\n6439 7299\n10022 14428\n9035 13163\n2172 4935\n6538 8595\n2182 15200\n3267 10402\n9137 14802\n1788 6411\n5117 6810\n3505 4865\n173 16740\n1632 13020\n1111 14440\n7362 12703\n13675 15917\n8986 11862\n6961 11220\n1197 1286\n1106 15067\n4418 16059\n14861 15125\n5559 6068\n8975 11849\n11114 13134\n9576 13628\n155 3916\n9614 10215\n13843 17458\n2129 5626\n6438 16883\n9163 9845\n15615 15911\n2818 9198\n7395 15055\n3412 5769\n3524 4366\n11525 11983\n1994 10097\n7138 8367\n5059 15106\n11266 15829\n4301 12566\n3876 3947\n6505 13443\n3014 14473\n8627 15565\n13155 13992\n3051 6545\n3884 8361\n13428 16515\n8413 8562\n1993 10840\n2697 2909\n10211 13207\n5892 10417\n13432 13704\n10857 14033\n11051 17410\n975 2635\n9297 9658\n11591 15686\n2653 9226\n10485 16079\n12448 13220\n474 1591\n13707 17165\n57 7179\n2245 9897\n3680 9979\n8386 14552\n8811 15170\n1488 2820\n7607 8043\n11467 12149\n8476 16225\n9813 9982\n5124 11841\n8276 16661\n5643 16325\n4618 7728\n10609 17011\n793 10954\n9838 17087\n10296 14418\n3114 7040\n255 10498\n1530 8889\n1002 10409\n13738 15207\n6760 9307\n2657 11542\n4375 9490\n54 14974\n4690 10460\n2805 16375\n13650 13730\n358 13516\n723 4113\n1730 15510\n5316 13470\n4973 11064\n12936 16735\n12043 12234\n6220 7719\n9335 15952\n4685 12844\n8420 14608\n64 6773\n5317 15567\n4882 14320\n10548 13614\n12032 15976\n8494 12323\n9684 13913\n3151 12902\n2534 6024\n2064 5892\n6814 16820\n1969 10156\n12304 15582\n1533 6598\n10818 14624\n6024 13666\n13874 14761\n9618 15061\n4846 13687\n9175 13071\n15274 16350\n8127 8624\n706 6948\n9848 10197\n7655 12797\n4972 13209\n7 11595\n2246 13089\n1835 8781\n11850 13772\n7027 15670\n3032 13054\n7337 8292\n3762 4425\n9402 13683\n12248 13827\n6540 15593\n8321 17457\n6320 7882\n202 3321\n3262 10450\n4986 16993\n1188 3625\n13852 15569\n211 2762\n6448 13638\n675 11053\n8753 13496\n6040 11657\n1908 6530\n3586 15109\n2364 14399\n957 4297\n7755 7927\n10121 16970\n16107 16671\n9680 15039\n2792 15367\n15686 16468\n16 16592\n5810 9499\n5820 12151\n917 5400\n6581 9508\n9889 10111\n9957 13163\n9537 15933\n1668 2029\n837 11385\n9732 14881\n14877 16581\n2521 16797\n9062 16709\n1761 5483\n5625 8885\n9668 12257\n1532 11569\n2360 6202\n5363 16862\n10853 12770\n4933 7495\n5947 7298\n263 16138\n6399 17149\n3536 16572\n7049 15724\n4485 13989\n7026 12578\n11567 12572\n10868 16078\n476 12548\n340 11928\n10980 14724\n7392 15495\n6076 15351\n16531 17423\n5638 14407\n9383 14082\n4696 9514\n4027 13499\n2713 9907\n12424 13707\n6338 11475\n9459 11817\n6201 8411\n14717 15747\n6036 16595\n12951 15463\n4930 16177\n10827 14168\n4777 7837\n2903 8713\n1515 5955\n8752 9112\n10795 14265\n13734 15857\n655 5499\n385 13519\n11409 12599\n3374 14751\n1873 4108\n12629 13699\n9460 15380\n1405 5806\n1524 12641\n2009 17191\n1822 6429\n15 12989\n406 15709\n2599 4938\n8020 11094\n4342 13284\n4594 10369\n8445 12085\n6269 10637\n375 2492\n8332 9298\n14401 15593\n8158 15656\n5915 16664\n3136 14574\n2169 6629\n14820 15462\n4183 17415\n15972 16394\n2540 10679\n12925 15407\n2923 5234\n4399 5136\n4087 10297\n13293 16315\n3331 8959\n1903 15490\n10279 10941\n487 11308\n1639 16594\n9648 12646\n15790 15995\n3051 10693\n11069 14443\n4030 5703\n2627 9280\n11561 14902\n13935 17395\n9585 13509\n703 9017\n5570 8139\n5999 7018\n9896 15802\n3081 7823\n10613 14357\n8845 14645\n3393 10309\n7313 8990\n6302 7871\n3844 12141\n8363 16805\n7500 7807\n8801 13915\n434 5418\n1927 12799\n4916 9673\n4884 17444\n5723 16852\n4390 10440\n3925 11451\n14225 17226\n1819 5405\n7323 9291\n6585 15097\n7335 11513\n6560 14558\n5068 5804\n1486 16075\n1638 10101\n5700 10970\n4781 14387\n2037 12694\n6542 17384\n1197 11303\n4837 15503\n899 13755\n7678 7953\n7481 14823\n7613 11466\n758 3120\n2042 14134\n5688 5725\n5202 15556\n1124 4447\n4796 8684\n14 1562\n1198 9875\n6836 11037\n3870 5263\n9815 13221\n3147 17052\n3242 11930\n5921 10883\n3893 9421\n12060 16984\n6264 12280\n14895 15881\n6142 12425\n9716 12455\n5600 7605\n2023 11561\n57 5875\n4134 12411\n1619 8641\n11350 11966\n5343 13472\n14898 15213\n6099 9438\n7676 11905\n534 9764\n1765 15784\n6923 8735\n3936 10439\n3965 8945\n8557 16256\n6718 12803\n8442 11792\n1966 7592\n3787 17437\n2940 12733\n9216 13451\n9896 12800\n5011 17301\n7898 9526\n6931 15099\n7430 16441\n9446 17148\n6325 15434\n1167 6022\n1434 4085\n706 4148\n1396 12589\n173 9288\n818 1473\n9559 11781\n16327 16746\n14196 15884\n11931 17062\n5256 15455\n4306 14097\n4351 5228\n752 8931\n4256 8655\n2122 3575\n8882 12952\n1293 7025\n10919 15754\n4434 10711\n1676 12876\n4586 16230\n6143 12159\n10201 11676\n9724 9935\n7197 16597\n748 11840\n13950 14209\n9370 13385\n11833 17210\n4673 7170\n4966 5860\n9870 15853\n2586 8298\n5378 14368\n1531 10201\n10752 13052\n3368 15274\n14675 15907\n8940 15490\n3448 10601\n130 5612\n7433 9804\n4239 16411\n4995 11703\n2911 7903\n6028 8693\n177 5155\n1995 12001\n7264 13357\n4526 7348\n1091 3228\n6227 9575\n4779 9154\n6930 13726\n4010 4812\n235 15858\n4297 9618\n5265 9532\n3759 8032\n12736 14692\n10061 17129\n6338 13197\n6014 7120\n6078 16697\n9997 11820\n1441 11708\n9966 13389\n13211 16960\n1329 7204\n9102 14843\n3187 8517\n7967 13434\n1096 8799\n5580 15580\n9469 17021\n6936 13931\n9938 12764\n11067 16175\n5283 10065\n2669 13636\n5800 6338\n1367 13116\n3237 16498\n3554 10540\n1805 6030\n2364 2430\n13589 16041\n7122 13612\n5576 17251\n6981 7781\n8860 17406\n2779 10460\n7788 9622\n4420 11358\n5706 6788\n4697 12129\n9797 12575\n1202 6951\n8081 13221\n12418 15877\n4718 13990\n13318 14996\n13181 15379\n861 1981\n8036 15016\n2759 4941\n6095 7077\n135 8829\n7161 11525\n874 13900\n395 12205\n7088 9445\n3450 5288\n9052 10246\n8938 16077\n662 2730\n10029 15599\n4343 8214\n16170 17435\n2769 7181\n8637 15592\n4077 11985\n7169 14700\n1828 14298\n4927 8018\n4339 12952\n12436 13830\n8846 15146\n7661 14687\n4891 9297\n2732 16249\n4627 16277\n3352 4457\n6556 7068\n14105 17200\n12309 13719\n7647 9711\n6582 14503\n6919 9934\n14548 17043\n8341 9950\n14273 14877\n8029 8645\n7428 16336\n7175 16584\n5630 14296\n11753 13830\n18 14895\n6277 8764\n6000 14627\n2696 14227\n6198 7196\n1827 8214\n5089 12320\n10705 14729\n4993 16976\n5596 9284\n2451 8945\n3111 16210\n14983 17215\n1870 2199\n15030 16080\n7837 15372\n7832 13633\n1847 1981\n1528 8443\n4316 13558\n1606 5404\n1067 14473\n5328 6472\n44 16947\n13134 17114\n13204 13312\n498 7069\n1816 5266\n6950 11104\n6594 7477\n9634 11939\n7020 11366\n715 10903\n9434 12757\n930 6749\n8405 8911\n15408 15564\n9689 15416\n5228 6525\n11686 11956\n98 14683\n5340 15724\n3545 6545\n1175 5987\n10822 14337\n7512 16938\n4715 16242\n7811 8549\n11873 17439\n575 4647\n5378 9144\n15260 16791\n3280 8700\n9754 12854\n8847 12666\n4215 9027\n4196 7202\n2073 15602\n6771 13337\n1929 11957\n2061 7731\n3202 14953\n2023 5500\n5749 6842\n2005 17184\n6067 10773\n7444 8883\n8074 13128\n1256 4942\n3307 9228\n532 3115\n2319 14901\n11568 14795\n13673 14014\n6175 16437\n7328 10580\n10410 13962\n708 6824\n7207 8969\n7904 14855\n4233 16242\n13785 15124\n13823 14277\n7734 10474\n3843 12303\n2889 13690\n9391 15222\n2276 2931\n4287 14116\n1661 3119\n1071 14914\n7829 16199\n10141 12559\n6166 14122\n5725 12013\n13854 14139\n14583 17236\n3157 12117\n2986 12395\n1036 10080\n1989 16424\n4964 10274\n2922 17149\n3518 12996\n2166 6449\n852 12500\n8264 16792\n2219 6107\n3144 16081\n2306 13131\n946 12380\n13061 15846\n4206 13422\n3762 4582\n792 5281\n12912 13633\n4758 7308\n7920 15625\n13072 14548\n7885 16106\n1247 15202\n8956 11801\n5362 11583\n6029 12521\n1874 8823\n3014 4558\n2075 10638\n8296 9368\n10223 16860\n14608 16848\n4963 5356\n5040 8454\n3808 5964\n1945 6544\n1709 11628\n2991 15891\n13606 15504\n11013 14553\n9095 11058\n8661 13475\n4968 5979\n11261 12609\n3619 7317\n10427 11618\n745 2073\n9011 11192\n129 606\n7057 7089\n9965 15911\n10496 15443\n8363 9975\n12324 13341\n1129 16580\n14437 16664\n12053 15122\n301 13841\n8560 14048\n6551 16993\n183 11864\n8922 14498\n4992 7984\n8802 11006\n11463 16396\n80 7681\n8870 10558\n28 6561\n5972 10360\n9457 10329\n2649 13153\n6372 11412\n4763 11614\n2001 16815\n7005 13674\n4214 10619\n12840 14469\n6177 10500\n289 14580\n2705 3332\n8001 9418\n2754 10182\n7620 11409\n9882 14630\n5992 15951\n537 16884\n4483 13124\n9663 14827\n5754 8764\n8759 16296\n3439 17337\n1987 7394\n6958 14888\n12640 13992\n2721 9357\n12640 13410\n2698 15894\n6552 10563\n3710 15381\n3472 16090\n8278 8820\n575 16950\n377 782\n2423 9790\n204 13474\n10435 14667\n5894 6126\n8549 17050\n14297 14526\n5163 16051\n9477 13610\n1030 3808\n4811 12625\n9989 14827\n4936 11884\n2120 8210\n5443 16179\n11141 14196\n8993 15128\n1163 4853\n5369 6523\n15010 15980\n9096 10771\n4674 13286\n2102 8964\n350 12332\n3664 6021\n8233 9483\n8345 16860\n5231 8806\n4755 8343\n3888 14622\n6746 16293\n3136 7837\n2604 17099\n7052 11722\n1747 13977\n3969 17331\n6990 11800\n7280 10201\n1800 3465\n8910 12145\n3922 14802\n3043 11508\n4827 9397\n1399 15758\n7694 16144\n6960 13247\n7757 8765\n4975 12527\n4459 15405\n6379 9888\n1161 2931\n1353 10637\n1191 16882\n3495 16098\n4604 9900\n141 7202\n1339 13227\n43 11799\n10074 12116\n431 5821\n6594 11017\n6091 11124\n1727 10343\n3801 7851\n117 17132\n5315 11174\n6247 7020\n10056 16543\n7198 8241\n3387 3404\n3146 4348\n14393 17165\n9054 10177\n8966 15267\n2209 3817\n12389 15891\n3056 12971\n7796 10953\n2283 10462\n8641 16237\n7227 8595\n4507 15496\n8645 14720\n10408 13045\n3914 9786\n3149 9637\n8678 15295\n4625 10409\n7336 12206\n7573 15401\n1906 15835\n600 16781\n4034 9196\n5984 16122\n11278 14884\n9832 14005\n7302 7416\n5991 9460\n8094 12778\n6250 13934\n8512 10086\n6703 16577\n5144 9988\n6891 8255\n12578 14293\n6084 17146\n11008 15499\n1590 2549\n2223 9553\n3359 10598\n2476 16917\n4881 11023\n7943 9636\n133 4064\n11436 12446\n8020 9483\n4314 13085\n27 12012\n4411 12238\n10483 14042\n8230 11651\n14764 16125\n9740 11131\n212 15518\n8953 10000\n9967 12314\n2406 3955\n4648 6937\n1657 11903\n11152 13963\n7716 14581\n4503 13447\n5945 11616\n3076 8218\n11423 13279\n7225 14845\n13922 15569\n6998 11622\n2092 12869\n817 4065\n6815 11423\n723 15717\n1171 2763\n12523 16631\n1066 12930\n6440 15288\n4701 12549\n11349 13827\n1832 5637\n386 3236\n14600 16077\n9799 17062\n1458 11790\n5083 7586\n42 8921\n6409 12122\n7531 11511\n9919 14258\n3224 13191\n6837 8967\n318 2301\n4947 8714\n770 14009\n15285 16599\n8124 9183\n1772 7011\n4228 8701\n8296 14739\n4315 13056\n3377 4787\n301 7769\n14105 16649\n4399 15165\n13998 14524\n3785 13826\n6978 12896\n4943 16407\n16453 17302\n12950 15003\n7118 14203\n3347 15746\n11332 16763\n1773 14294\n11547 13963\n1405 12052\n1121 7344\n1018 15287\n3356 11827\n10522 16716\n1249 14820\n290 13451\n13676 16647\n503 8404\n2568 3953\n254 11234\n389 4186\n1314 15289\n1264 8658\n8135 15712\n6077 9487\n5038 10323\n4272 12640\n8520 13429\n5398 7178\n13093 14611\n730 5935\n362 17359\n11013 12989\n6569 16621\n6684 13449\n972 7116\n16177 16686\n2846 10765\n2150 16185\n10525 14107\n3904 4118\n10984 12082\n2435 4911\n6059 11852\n4346 7646\n8578 12411\n5440 5873\n5215 6639\n4592 6645\n5937 6346\n10679 13103\n10386 14902\n14191 15089\n4526 11428\n52 7026\n12634 17422\n3486 15901\n186 5387\n3264 17419\n12238 13933\n7002 15769\n366 6315\n15664 16265\n11755 15383\n12128 12350\n4638 8741\n7577 15002\n5229 6342\n7318 16109\n11339 16902\n2534 8661\n10321 11202\n8052 10921\n5560 12450\n5985 8376\n10113 14879\n9071 14540\n8355 16122\n328 8747\n691 12756\n1802 7011\n8606 11930\n252 8401\n638 11996\n7062 10945\n1781 5592\n11368 16832\n10073 15773\n3279 3974\n80 16835\n8286 17000\n997 5739\n5419 15182\n5808 5941\n4777 8943\n3610 12966\n600 3094\n13450 15544\n9458 14006\n4513 8135\n12131 14217\n2518 4838\n12981 15754\n7494 13570\n2592 13471\n6 9994\n6925 10655\n7945 9648\n5819 16568\n3981 12131\n3464 4320\n14608 15683\n1675 17086\n851 16752\n973 8629\n2671 15544\n9934 15415\n8051 8981\n12469 14659\n4820 17447\n16112 17215\n1851 15264\n7361 8629\n3143 5015\n833 8608\n2223 11145\n9069 9165\n611 5445\n3749 17141\n117 7472\n6506 9371\n3125 7442\n6853 9291\n7066 8283\n2034 11508\n8405 14241\n14362 14594\n2189 8376\n2527 9879\n6156 14846\n12944 14084\n9372 13223\n3613 15410\n16221 16677\n10169 17440\n12179 15908\n6163 16259\n11284 13184\n481 12386\n13531 14708\n10356 16159\n972 5496\n14520 14601\n8000 9457\n7527 13155\n5289 12885\n8543 14619\n457 11270\n6023 9425\n11774 14563\n3721 6592\n9413 15683\n7068 13864\n5085 14605\n7669 7823\n641 6195\n2560 12870\n6209 8976\n1619 5414\n1541 14838\n8097 16207\n2358 10703\n2724 6649\n3019 7139\n1126 6032\n4035 12598\n8548 8967\n1118 7647\n6008 14842\n3949 4966\n5870 16745\n3424 9340\n2808 9401\n5057 16683\n3130 16781\n11537 14014\n8910 13597\n920 12026\n1669 15159\n16882 16996\n6937 9231\n15444 15544\n887 16497\n11094 15649\n11158 17009\n7374 16096\n3236 13566\n2181 14002\n5231 13433\n9420 14423\n2386 2913\n2921 16480\n5619 16766\n471 15645\n7845 8647\n1459 6985\n4025 9757\n11105 12795\n16637 16866\n10855 16668\n1202 11586\n9771 11606\n530 3036\n6469 16494\n2466 3071\n1424 16322\n1960 13612\n10416 17326\n2522 6571\n15108 16424\n14343 15561\n2320 15780\n1718 12918\n9014 10357\n10958 11253\n5475 13281\n7738 12860\n10765 16623\n3929 11627\n12561 16823\n158 16944\n5669 8209\n804 8947\n11055 12451\n9464 15430\n6756 12925\n6913 13932\n2180 8860\n270 14340\n856 10711\n1746 6353\n10610 11634\n4468 8468\n8851 14885\n3335 10210\n8457 11793\n8197 10036\n15754 16539\n12239 13300\n10479 13492\n11551 13624\n29 746\n8282 14935\n9332 13576\n7316 15483\n9485 17253\n2417 12302\n4474 9351\n4048 11543\n4329 10286\n16434 17108\n11901 13896\n7311 11841\n1568 16262\n4064 14471\n8286 13479\n10654 13133\n4378 7370\n4570 11298\n5040 12323\n4024 7201\n5386 17152\n2310 7483\n10859 12543\n484 5470\n5567 12664\n2401 12135\n2209 14299\n12906 17308\n3096 6255\n6330 15961\n1270 16989\n1288 10570\n4218 9832\n5062 14808\n7768 9948\n9562 15516\n9520 15893\n6522 14866\n1256 10438\n12789 16125\n7914 13087\n1635 10373\n8174 13901\n541 9244\n5388 7092\n9963 14382\n3169 10461\n1168 12182\n4059 7870\n13734 15081\n4477 12285\n6889 10156\n11306 12772\n2399 9621\n1210 12142\n6456 6643\n9071 13893\n3912 12065\n2897 15996\n5034 14994\n3683 12582\n544 8617\n4510 8887\n14461 15749\n15303 15646\n9477 15581\n4894 10597\n6853 11493\n3179 6872\n258 12889\n404 14963\n4184 16594\n9527 14870\n11816 14840\n4802 15554\n9124 16146\n1348 17091\n3330 15529\n12312 15984\n9233 11526\n11408 13939\n12409 16311\n2026 7655\n2430 13917\n3959 10849\n1032 8405\n4895 17178\n1611 8470\n1779 16424\n1330 11956\n8151 14440\n525 9561\n9962 11062\n6698 16556\n236 388\n6052 9657\n4586 16917\n8422 17127\n12762 13362\n6996 13050\n14408 15232\n6193 13196\n233 13552\n10424 12781\n9191 14914\n3481 12604\n4949 5660\n12826 16008\n3913 17063\n266 8219\n1520 2051\n1797 10551\n3564 16981\n130 6451\n1658 17272\n2593 4121\n8431 15366\n7571 13115\n8490 13621\n4956 8171\n8803 12409\n12493 12522\n330 13314\n6164 6309\n2693 16242\n329 2795\n1737 13662\n8954 12174\n6193 13351\n15644 16336\n1723 5077\n14566 15136\n14981 15420\n9810 10366\n3993 10236\n14650 15179\n1808 15127\n5747 10061\n5121 11202\n10690 16638\n167 8897\n3519 16509\n9509 13560\n11918 15754\n1795 4965\n10127 10877\n2869 15884\n562 17377\n528 8401\n457 17283\n4189 14639\n498 14192\n7436 9396\n3232 14270\n10750 15939\n7050 8478\n3547 6393\n6395 9305\n3355 8661\n7175 13428\n11466 17205\n1681 7636\n11358 17215\n5144 11220\n11748 16403\n3944 9789\n3011 7136\n2098 6748\n530 877\n5767 13512\n916 1791\n809 6037\n3011 10778\n3851 5722\n6478 6480\n10783 13881\n4013 9983\n1285 11765\n2877 3115\n13603 16198\n4312 10102\n5306 14707\n6204 14595\n2001 3895\n4897 6366\n4531 7911\n12799 16989\n6223 12402\n8853 14754\n13608 16475\n2841 11157\n8118 13857\n7499 10418\n6425 16969\n11980 12438\n2867 15605\n15136 16370\n827 15619\n3743 12758\n7961 8833\n2549 6650\n2759 16294\n11591 13918\n6188 11919\n4481 10506\n16150 17341\n11755 15657\n9590 16830\n3253 9025\n4935 5772\n387 9826\n4193 13840\n3295 16021\n1812 13547\n132 14040\n2500 10212\n1552 1814\n10080 12041\n5586 11876\n3903 8309\n2070 14888\n1080 4032\n14115 17389\n5814 13374\n10433 11237\n8347 13387\n1818 7175\n3005 4912\n1838 15027\n5723 11789\n13391 14446\n8648 11514\n4120 11929\n2081 9890\n9749 11433\n485 4275\n7862 8719\n5707 16956\n5803 13826\n7714 10587\n2706 12447\n8324 10831\n1381 11785\n6065 13673\n4165 9219\n1284 14931\n11835 12327\n1826 2206\n9212 14690\n11024 14653\n4519 9220\n7888 16109\n8091 12280\n5128 10249\n2794 7911\n3274 15007\n7242 7799\n7165 14768\n6317 10358\n1015 13850\n2709 4902\n182 3011\n122 15282\n3632 5467\n10516 10797\n5149 8806\n8890 17079\n12895 16808\n2975 13156\n11645 13094\n740 7063\n669 12411\n10354 16639\n4087 7366\n121 9596\n3912 17168\n5396 5474\n4154 17462\n9181 11740\n5566 5975\n14773 16395\n10449 12036\n1410 6645\n13552 16372\n4694 15428\n1584 10803\n8359 13570\n6111 9558\n5414 9438\n7717 8239\n413 12131\n173 13454\n3243 9649\n13907 15106\n3163 14019\n740 17020\n1624 5058\n15797 16997\n15527 15647\n7919 13169\n10703 11488\n3863 11483\n9370 14369\n6379 15172\n6348 16329\n8324 9032\n837 878\n13471 16923\n2810 13915\n2551 11864\n7054 15831\n576 10407\n7480 15220\n4028 15271\n7431 12482\n740 4871\n917 12781\n1139 13384\n8353 11201\n8955 14402\n9509 16522\n2141 11794\n7836 16294\n11890 16186\n6385 6519\n2526 14309\n1419 9816\n13726 15571\n8726 13265\n977 6634\n6950 14607\n5927 6024\n327 6409\n1239 1582\n9831 14118\n4418 16119\n1625 1925\n4953 8895\n8770 9420\n11860 15705\n10531 11773\n2499 11854\n8314 12392\n8817 13579\n11899 11908\n6556 7031\n2753 16621\n10877 15566\n4640 10279\n3499 11347\n14222 15031\n1469 4613\n2890 14535\n8551 9862\n1697 17047\n14437 14440\n736 10144\n364 13325\n13230 14267\n5632 16838\n1952 4498\n9287 14044\n6314 7725\n7382 11457\n1392 1628\n4698 10710\n13625 14024\n4665 16535\n5706 11107\n2671 11673\n391 5711\n1422 6957\n11856 14161\n2301 4831\n3287 3758\n8807 15134\n6493 12834\n3757 11755\n4432 6552\n4248 11638\n5248 13965\n7286 11187\n4558 11929\n3401 5359\n479 4051\n9591 13743\n1385 13118\n16421 16461\n7907 9721\n315 8938\n12373 13823\n7117 14251\n822 6454\n2108 8846\n12344 17259\n8096 16675\n756 4952\n5205 13054\n7487 12864\n691 6302\n7140 7675\n269 5934\n7995 11171\n11006 14494\n1906 16966\n7999 11154\n4875 6296\n5136 6883\n3862 14974\n3136 14284\n672 15915\n5235 16475\n755 15025\n14641 15388\n4358 9421\n10964 17397\n9901 17167\n3469 14835\n3512 4593\n1892 14835\n378 605\n6239 9113\n3033 10870\n6854 15971\n5584 7450\n8631 11554\n5654 16032\n9237 16195\n6477 11887\n8300 16910\n4730 13207\n5578 8362\n9568 14726\n1721 1775\n10718 11920\n158 14546\n14102 14304\n11418 13433\n10712 13418\n15875 16367\n4657 10554\n1210 8149\n316 1977\n5668 10152\n3032 5160\n3105 5493\n2535 11468\n4376 12836\n4896 8414\n3803 5862\n8794 12495\n508 8259\n2698 11897\n1504 6258\n444 13561\n602 15425\n4486 9903\n9052 16159\n1837 17292\n4566 6199\n3118 5967\n4377 9048\n11725 15917\n752 16104\n8049 12286\n4483 13825\n7397 14190\n3295 6169\n592 13126\n1008 3070\n6999 16462\n11568 11910\n6129 13577\n3976 6350\n703 12106\n12038 14560\n8909 9273\n10397 10402\n9126 11203\n4135 13755\n12710 15129\n6240 10186\n11486 15531\n8735 14442\n13261 17206\n3838 14052\n3606 5294\n359 1504\n9843 12000\n7761 7890\n7280 14781\n7431 16092\n3396 16777\n1008 8826\n846 3819\n11195 15060\n8006 10116\n2981 12519\n7386 16424\n13251 15914\n1051 7371\n7200 9894\n1074 3219\n5984 15152\n6868 15199\n3991 14911\n2584 12085\n13274 16451\n12544 16077\n203 8489\n1264 2130\n15216 17428\n5633 7700\n11050 15951\n5678 9175\n6263 10134\n3852 17174\n10962 14180\n11662 15667\n256 15824\n1692 16408\n12108 16388\n5460 16121\n10085 17324\n13053 13090\n10290 13027\n710 9849\n13333 17346\n135 10013\n3492 12297\n4694 12098\n11308 12222\n2867 7344\n354 10524\n7430 14025\n5155 9104\n2537 12892\n4574 5221\n2880 9557\n3675 12266\n14620 15390\n2769 6701\n3631 6345\n1383 7972\n3236 7315\n4928 13687\n9339 9853\n10902 13199\n8394 14455\n11206 16429\n9847 11426\n1273 17103\n653 2618\n4402 14914\n2503 14890\n6862 9845\n1571 6630\n1582 8939\n10209 15201\n3629 4700\n1986 2314\n1973 7866\n2012 16738\n9700 10393\n15828 16215\n10709 11758\n2610 10944\n14566 14645\n2064 13181\n3038 7235\n180 12674\n5984 15588\n8482 15899\n7470 8732\n4457 12620\n10379 17144\n10263 16725\n4019 11237\n4302 11070\n14111 16766\n11625 12309\n4113 6505\n6045 9061\n2373 14790\n7751 12600\n7486 12840\n6093 8403\n11522 14020\n1903 17353\n5613 11687\n4593 12496\n3562 15660\n509 696\n1560 3618\n2618 7345\n6577 13766\n2203 7166\n1420 15094\n936 9813\n2207 2306\n1760 9453\n3184 3765\n3473 14247\n5227 10625\n3698 4782\n10379 11999\n13755 14192\n9551 12304\n5428 14454\n12413 12700\n3537 13746\n3151 11037\n5860 13229\n12080 15787\n14796 15826\n459 11822\n10396 17201\n5635 8397\n11309 17067\n2767 5400\n2800 14180\n2768 8382\n952 17353\n4148 5900\n8829 14164\n14635 15618\n1636 3537\n7405 12718\n7736 10813\n1463 1478\n6573 6861\n4433 5246\n1182 14270\n6298 13340\n368 2214\n4477 6387\n54 9285\n12688 15684\n1110 11945\n14705 15088\n14199 16520\n5153 17078\n2893 14122\n14707 16362\n2903 4933\n15622 16663\n947 6241\n12734 13417\n3913 8036\n3322 8746\n177 15764\n1511 7836\n3514 12267\n6809 13193\n641 7290\n1292 16388\n6282 14497\n9401 16825\n2001 8157\n7135 16929\n2243 8760\n145 16261\n9015 16659\n4009 13974\n434 12492\n16127 16719\n2477 14281\n12702 16271\n282 7850\n3510 5881\n8182 8817\n5374 11476\n6021 13966\n3923 12043\n2339 10206\n8482 10342\n4945 9353\n8878 11788\n7118 13176\n2298 3592\n2984 8445\n4884 14994\n6957 13857\n1396 12808\n3177 14054\n1787 8657\n13358 17374\n3510 10899\n378 6200\n1535 5050\n2152 3225\n3105 11188\n901 11722\n15195 16263\n1490 3110\n8768 11424\n1584 8656\n932 6401\n339 15393\n12448 13587\n13438 16084\n703 13516\n13140 17108\n6557 15140\n1281 15291\n1484 17338\n13477 13640\n533 6864\n8275 8394\n11635 14779\n11939 15085\n7630 13369\n1491 6544\n941 7582\n10714 16315\n12151 12992\n6099 10792\n9972 12729\n6855 11131\n6332 10806\n10393 12202\n496 3047\n9718 16619\n1737 8019\n1603 6199\n6884 14050\n517 10335\n3966 9644\n3792 10302\n2546 17289\n608 14875\n13025 17058\n1854 15264\n2461 13385\n1016 8261\n153 14300\n1728 14333\n1891 5965\n505 2886\n1415 11276\n2471 8164\n6745 7492\n6401 15178\n12530 17340\n2756 5277\n5847 14849\n6804 17338\n1886 4824\n14373 14557\n1154 14080\n3730 7921\n734 10521\n260 8020\n1927 11299\n13645 14052\n15306 16899\n7776 15812\n4427 8007\n3103 3243\n53 7104\n7312 16437\n5680 11679\n11336 12331\n11591 14472\n7066 11456\n1754 14404\n1894 16496\n3672 4361\n12104 12341\n14542 17305\n4181 14292\n2086 17403\n2069 3642\n14793 15721\n8973 15565\n8658 17078\n5942 13610\n2159 3913\n9143 15172\n11398 15336\n12883 13508\n6962 8747\n1906 15736\n4270 17301\n9053 12773\n8657 10124\n4471 12674\n1485 16045\n1458 12856\n4852 11202\n1713 13827\n4910 8603\n2960 7443\n5338 9053\n6992 14937\n5285 16915\n2261 12444\n10226 12687\n8190 13306\n7489 13222\n12577 15986\n1168 15093\n15186 16858\n429 12237\n3649 13843\n3302 17212\n3768 5137\n4891 12120\n5739 11420\n10664 12065\n13507 14150\n15407 16953\n1409 7472\n5614 7213\n10430 11516\n8816 13089\n6014 14595\n768 3160\n10486 12955\n4319 11520\n11510 13445\n4909 8062\n2181 10872\n6697 10667\n4411 11057\n8528 16447\n5656 8860\n2810 11014\n5620 15128\n618 9669\n6772 9590\n5277 16360\n5163 8451\n2767 7059\n4712 15053\n4491 17384\n6594 7242\n422 6652\n5224 6106\n10018 13019\n1461 14865\n10892 11512\n10598 11499\n7439 16718\n1410 12925\n6360 16297\n7369 12270\n6421 9911\n5243 5864\n10155 15568\n1026 3496\n11945 13248\n3915 5421\n6324 7960\n2430 2695\n7751 9601\n2329 8140\n2210 15977\n7829 11000\n4722 14889\n8341 11024\n16535 17056\n4419 4926\n2390 6746\n3991 15554\n1584 11499\n2667 8690\n12587 14741\n2627 10434\n6933 12541\n11957 16230\n10702 16157\n8540 12486\n14552 17274\n770 15856\n10923 15917\n7239 8147\n7781 14903\n3059 10122\n13945 15100\n7321 7745\n2175 3481\n25 12376\n9060 17276\n10718 16628\n5888 8173\n2045 14375\n7953 16121\n6254 15552\n11094 13901\n4374 9075\n9911 13063\n11627 12266\n7840 15460\n999 5075\n2791 11477\n3338 6086\n2250 10887\n6800 12233\n7998 10249\n3780 16521\n9639 11321\n6269 6516\n10685 13806\n4269 7780\n9586 10678\n11200 12057\n7857 10267\n5932 15686\n69 12179\n2884 6164\n9535 14423\n3144 12719\n1402 5272\n14263 15855\n13687 17244\n6764 11243\n6873 12237\n3631 16418\n574 6003\n13980 14841\n14113 15191\n4584 11628\n12219 16008\n330 12166\n2974 14556\n394 4313\n3483 3959\n2186 17180\n2668 10635\n3854 9298\n2302 4603\n1924 7948\n8054 9684\n2802 7018\n2376 13318\n5494 10121\n4824 13035\n1301 9682\n3194 6153\n8496 10077\n11123 13846\n3712 3764\n4906 8988\n4865 11826\n1436 14036\n1970 12002\n1010 14282\n2056 12619\n2831 5746\n6695 7608\n8155 11949\n2248 12427\n6005 9436\n453 6089\n4452 9334\n3117 5125\n15203 16481\n4167 5963\n10445 12657\n4080 4179\n1786 8284\n2793 8980\n5186 17318\n2947 13577\n10874 11221\n478 2782\n9049 12309\n9844 13533\n4583 16814\n1753 5248\n906 9572\n9892 15392\n3028 15275\n2403 13141\n4039 6413\n10273 11518\n2932 8389\n4209 16904\n5910 14064\n6015 7114\n5401 8295\n3005 7052\n1466 17386\n11426 15288\n3995 8972\n8589 11170\n2551 10017\n6205 15606\n11134 11585\n10338 14454\n3121 15484\n1565 8119\n3479 10290\n31 3514\n2047 2970\n7144 9796\n2623 9628\n13574 16126\n5373 16726\n2190 14013\n1070 9777\n5579 13286\n1531 5665\n5937 16110\n11357 16325\n10896 12818\n13812 14670\n10668 14664\n1828 9200\n13098 13180\n8074 15028\n64 16405\n4902 15525\n6580 6668\n1862 14432\n1220 8717\n9970 13685\n11966 17433\n8765 8997\n5729 6136\n4185 16660\n7476 14862\n1369 8067\n41 10154\n2677 17380\n1308 5718\n8083 9936\n15123 16555\n15249 16466\n3955 14437\n428 4442\n7773 17350\n4846 13114\n5305 14754\n508 3076\n3467 14626\n1366 14199\n3919 10933\n11810 14497\n9320 10047\n8229 10166\n7767 12797\n2824 4708\n5350 7570\n3466 11766\n13605 14662\n2186 4667\n1841 17075\n12042 13341\n11582 11954\n7770 9783\n7217 11540\n1442 8440\n8684 14043\n13914 16821\n2045 4936\n2530 6570\n1844 16949\n8530 14184\n937 13775\n2308 12496\n4667 15794\n6711 7177\n2822 9418\n1031 16685\n4040 6130\n6472 12909\n1197 3462\n10905 11616\n3421 17386\n10348 15293\n9158 14055\n6408 6759\n10808 15894\n548 11021\n3586 15825\n2267 8069\n8770 11865\n10356 15592\n9102 15762\n6273 17411\n8038 9975\n10412 12033\n3506 12608\n11543 12078\n6063 10889\n5175 13186\n3871 17342\n3845 7979\n1618 6885\n4225 13622\n12257 12595\n837 6813\n9638 17322\n1169 11091\n2258 15674\n7526 16267\n12380 13489\n4407 9555\n6494 16501\n6176 9918\n10129 13424\n9231 15046\n6856 10069\n7450 7761\n9496 12073\n516 16487\n2311 5610\n3751 11650\n5170 13354\n8896 10095\n4460 7265\n2372 13098\n7044 8898\n1818 5464\n6071 12296\n5405 9381\n1057 6795\n330 5328\n608 17382\n5645 6641\n3778 17239\n15693 16089\n3497 10055\n7332 7519\n4277 15926\n4115 7332\n6852 16864\n10399 15642\n2962 5884\n5231 17122\n3225 13928\n4946 5511\n2347 8528\n9233 13122\n4670 10082\n2429 11556\n5060 15528\n8501 14667\n4803 10450\n780 11667\n5823 13834\n3252 5744\n3049 8548\n6522 8773\n9811 11178\n4347 16491\n5935 9775\n5677 14656\n1455 14431\n4832 9991\n3941 13461\n537 3157\n15080 15896\n9802 12218\n127 7955\n15635 16999\n13090 13784\n4823 15118\n11171 15764\n11728 16548\n11109 11348\n1771 9629\n5711 10314\n3037 14445\n8357 9355\n11057 14621\n4177 8297\n6560 9413\n5260 13011\n5537 11303\n9424 14947\n5501 10963\n8528 16770\n11132 12644\n7326 17433\n13338 15156\n999 12595\n6065 13655\n11235 15899\n9905 11986\n4788 14779\n1295 6847\n1229 9849\n8633 14780\n2556 5862\n1004 15494\n895 10056\n6960 14999\n6895 13371\n1241 16786\n2464 10533\n10 17054\n8265 11180\n573 3353\n9123 14783\n3665 9722\n1243 13356\n1340 16453\n6009 14408\n8607 11081\n306 7084\n11014 13619\n1333 12927\n3557 3859\n2338 6004\n2321 17306\n5591 14731\n2435 5274\n4657 8576\n7903 15769\n398 6747\n1895 2538\n8716 14845\n10339 16273\n4670 9177\n12100 13983\n2631 7687\n6104 6788\n61 11195\n12171 14303\n8613 13490\n12336 15659\n2734 16183\n1297 6421\n9198 15501\n8709 16719\n11083 14613\n8318 15331\n3763 8868\n14274 17396\n1631 11796\n8672 16511\n2378 12693\n6091 11300\n6077 6244\n4951 7852\n2736 4060\n142 3809\n12274 14697\n13006 14098\n2246 16140\n1612 11716\n4314 4540\n858 13067\n8280 12631\n7982 12403\n4419 5088\n6947 8882\n12034 16139\n3142 8732\n6845 16620\n3422 9128\n472 1199\n7397 16259\n1688 3301\n1004 9581\n10175 16997\n2877 8075\n3590 5012\n6678 13691\n482 16763\n2058 5030\n1593 8807\n4278 11412\n12819 14201\n12009 16102\n8550 14415\n3150 8211\n418 7563\n17102 17346\n2122 9835\n5328 7177\n4669 14263\n3519 12966\n5287 13267\n5521 12186\n5644 16828\n3313 17395\n7488 16657\n2832 7447\n5444 9800\n14382 17224\n6545 8198\n1456 2888\n5909 16853\n4971 5316\n9205 9289\n2545 11830\n8436 14642\n5679 15468\n3621 5273\n6830 16394\n75 15673\n12186 16205\n4597 12793\n10716 15996\n728 13021\n10385 14393\n7144 16100\n21 4615\n2718 11377\n5163 12843\n4096 13937\n9510 17097\n4418 7304\n4274 16488\n3261 12590\n573 17353\n1527 11592\n11638 12098\n5739 10410\n9916 10928\n12990 13432\n4665 7302\n3823 15945\n1394 13254\n2378 6287\n8089 12392\n344 11696\n11893 12171\n8387 12113\n3972 7011\n4660 13591\n5187 6983\n1593 5878\n10521 12338\n6060 7438\n2391 5436\n9449 14108\n3121 3834\n13214 16961\n3464 6482\n7589 9060\n2769 9048\n3448 7862\n5631 8215\n6355 8982\n11209 15018\n7498 10402\n17071 17092\n752 3822\n9741 13905\n4155 13908\n8863 17364\n400 10131\n2295 9090\n5976 12532\n6016 13628\n9656 17053\n9076 14485\n10029 17140\n1692 8957\n10428 12948\n7326 9971\n10089 16112\n14537 16202\n1217 8537\n11930 12966\n164 3767\n10668 14869\n2972 7231\n555 11022\n218 14727\n14949 14972\n1546 10989\n15591 16698\n8805 12720\n4067 14339\n2965 4925\n1387 11150\n4159 15500\n2779 11451\n5333 7592\n628 1925\n854 11045\n14435 16740\n13487 16283\n721 11500\n7594 13397\n1611 3117\n7812 11615\n2266 4372\n3226 6708\n1576 4249\n12247 14337\n9860 11485\n4905 13066\n2523 14341\n4382 8629\n1013 13408\n6492 12571\n5933 13681\n314 10667\n13370 15788\n11429 15877\n50 9594\n26 9190\n4178 12317\n1888 2443\n484 2205\n2517 13455\n964 3661\n12815 15087\n9762 11854\n7721 9614\n1601 8829\n1990 15661\n11216 12189\n4646 11071\n4924 14364\n8420 16247\n5306 8561\n9880 16302\n11857 15619\n2430 14715\n1685 12536\n5599 8584\n9478 10647\n227 16682\n9332 16205\n5021 12869\n5790 10483\n14814 15670\n10294 14617\n10404 11246\n2641 5394\n9969 13581\n4426 8875\n1311 15985\n12821 15241\n375 10804\n5510 14435\n1770 6370\n350 15262\n6367 12384\n5102 13269\n1733 14371\n13244 15403\n7792 16361\n9308 11186\n13364 15503\n15969 16185\n4172 5369\n227 1154\n3674 4250\n2130 9528\n6391 14023\n13945 13986\n1274 16850\n1006 7312\n4259 13982\n9749 13327\n14882 15625\n900 10502\n5059 11279\n2132 13641\n4988 8482\n1471 15679\n9411 17255\n8823 14184\n2255 4548\n7371 16173\n8183 11394\n7725 15576\n6249 11993\n5011 14867\n649 9991\n3493 4910\n8990 12328\n1222 9464\n2466 16988\n721 10835\n4496 8541\n4195 9434\n394 2801\n3758 12633\n3102 9371\n9945 16066\n5687 12611\n11456 13395\n16593 17262\n7315 16890\n568 12716\n2555 4120\n507 1121\n2635 4585\n5415 7649\n6850 17288\n3117 15169\n2936 15783\n9869 14473\n941 1558\n1278 17056\n9277 9414\n2632 11886\n3089 10046\n10509 12758\n3846 7501\n7975 15769\n5805 8956\n10658 13258\n5550 13117\n35 17198\n1377 14671\n8246 17223\n6699 10020\n1892 6897\n1073 11165\n683 4011\n188 5274\n4579 11421\n11515 11866\n5599 6021\n2065 17325\n1128 2895\n3799 4777\n3181 11668\n1815 17426\n6866 7868\n3313 4176\n1572 17137\n9233 15185\n10643 15285\n4625 11647\n11904 15670\n4030 12698\n1497 14483\n8306 13493\n10791 15318\n4307 6689\n10764 16921\n2784 9945\n6853 10541\n4837 10385\n9769 15110\n5334 11250\n14788 16588\n35 11759\n11606 14682\n6753 12008\n1062 2090\n6816 14163\n9799 15432\n1441 3793\n3921 6226\n3017 4311\n4563 12214\n5814 6448\n40 2727\n9648 16106\n5145 16943\n528 6086\n14060 15327\n11365 13093\n4579 13815\n174 10364\n1071 8509\n1799 13276\n9511 16589\n101 2169\n9 4394\n11560 17098\n10719 12872\n14406 14714\n9073 14995\n9764 16560\n5403 8707\n184 13090\n8818 10197\n1341 12729\n2046 2113\n3577 3981\n11369 17130\n297 9925\n13038 14712\n10623 16095\n647 10496\n3018 7332\n13017 15662\n1684 11246\n2291 7709\n3828 11891\n1277 13995\n12623 16839\n2795 13042\n2363 10680\n1220 1300\n5414 5953\n6267 12628\n2829 13167\n1628 14742\n11401 16332\n390 11144\n4664 7258\n11528 13445\n1863 9287\n3213 9379\n2532 15555\n971 6011\n6168 16047\n7572 7892\n10862 16393\n1338 4809\n6121 6818\n3745 17288\n10600 15107\n1615 10765\n5749 17338\n7421 10895\n8512 16231\n4128 11786\n425 2592\n13280 16093\n1017 7274\n5719 6604\n4721 6169\n8399 11236\n3230 5248\n6255 11564\n15132 16232\n4763 7803\n17093 17219\n122 16527\n5481 14684\n8417 10622\n262 3701\n939 7229\n2181 2946\n15370 17457\n8927 12703\n1821 5062\n16608 17449\n12779 17451\n13614 17413\n8044 8680\n298 14598\n5636 6853\n5117 10761\n8766 14815\n8327 10863\n829 12103\n1665 9677\n876 12938\n11482 14684\n3484 12701\n2922 14640\n7627 9139\n3901 10914\n10321 10798\n6424 8110\n3039 3598\n7900 14785\n12004 17225\n2012 15274\n2562 6981\n9249 13783\n16306 16451\n2239 4108\n9392 16575\n9413 15154\n3113 13688\n6365 11301\n1975 4723\n352 4321\n2947 11792\n1016 6333\n2827 16181\n2079 6874\n8160 14708\n6411 8964\n7384 8355\n2142 2880\n8640 8913\n2971 9772\n4207 6421\n9537 9599\n4280 10898\n8759 9795\n5469 5728\n15674 16105\n9262 16252\n5678 9432\n5555 15984\n5428 12536\n13497 13733\n5138 13132\n5917 12641\n8448 14402\n6607 15126\n1900 7642\n79 1381\n8647 14974\n3808 14139\n7701 17440\n13090 16513\n8769 16476\n2690 14070\n11312 16184\n4209 14807\n112 1341\n4067 15890\n2050 10091\n7489 8105\n9350 13344\n4441 17153\n2976 8131\n5979 14020\n17325 17431\n10651 13263\n10416 13357\n8624 14572\n6451 14032\n3814 11592\n6131 7622\n6617 10947\n9565 11558\n9442 17281\n4947 12423\n4195 4420\n10078 12570\n13269 17448\n9363 12322\n13022 16311\n9865 9941\n14711 16946\n669 8085\n70 11305\n7110 13548\n11638 15075\n10056 11527\n2417 8747\n10751 16113\n2394 5781\n9565 15290\n164 7055\n11272 13450\n12616 17021\n9832 12057\n8951 11545\n14589 16251\n3154 6311\n3035 6280\n4038 11982\n13149 16121\n9449 12390\n1959 10267\n285 16532\n14235 16758\n7946 9821\n13329 15651\n3023 4415\n5566 9679\n2717 3470\n12848 14726\n7976 12397\n4360 13282\n2285 4906\n7615 15301\n4201 7637\n3587 15222\n7086 9066\n1010 17444\n2406 9632\n4029 8775\n751 9647\n8301 16862\n6440 14153\n9013 10510\n1651 5344\n11836 16357\n105 2224\n7327 10159\n5752 6338\n10187 12346\n3421 13284\n11515 12075\n2704 5125\n7119 7657\n346 1286\n86 10163\n13053 14152\n3200 9267\n73 7191\n8306 15417\n6931 16187\n747 16351\n8964 10723\n8842 12680\n9356 12832\n5262 11432\n1653 5207\n5849 9493\n10203 15390\n6799 11141\n3412 6962\n1595 5796\n3716 5067\n2556 11177\n10023 16752\n1118 3468\n8702 9195\n8915 15312\n6017 13040\n11153 12445\n949 16000\n8150 11314\n8198 10481\n780 12429\n3848 13934\n10599 15912\n10319 16073\n4832 12550\n1473 1639\n2667 10671\n622 16481\n579 1348\n2708 9598\n8575 13992\n8934 10153\n7182 10791\n14649 17306\n1347 17324\n4792 11998\n164 767\n8543 8807\n2229 3400\n2857 14512\n10279 17221\n2131 13897\n6021 13737\n1090 9656\n2458 13053\n12561 13761\n8954 12642\n10851 11495\n10538 16832\n3507 11828\n1257 10312\n2606 14048\n1384 1865\n10673 11582\n8848 9704\n14865 16439\n6708 7630\n7095 12354\n4240 10953\n6204 8029\n259 5574\n2755 14554\n4997 15619\n13293 16204\n6424 15569\n14498 16647\n14673 16064\n1875 11975\n7620 17375\n11918 12981\n6224 15061\n6069 8851\n11745 15811\n4819 5294\n704 13214\n4353 9296\n99 7511\n6162 10191\n1396 16464\n3628 14843\n9532 10903\n1137 6523\n8824 14402\n6737 15478\n1265 5549\n8109 9407\n10910 13467\n4005 16586\n4962 6469\n1234 8408\n3674 5448\n8199 10414\n4254 12947\n2242 8580\n6979 14203\n391 10101\n15289 15748\n5782 10543\n787 15939\n3219 14437\n7657 12192\n7476 14065\n4422 16839\n71 15994\n5949 14159\n3480 4869\n13930 16799\n1049 12580\n4134 9630\n7176 14465\n8797 9197\n5304 8871\n445 11443\n5214 8136\n1897 6531\n9301 14118\n328 7221\n12288 15806\n6117 16846\n6299 13392\n1499 10572\n1747 6452\n10055 15673\n2193 9818\n2550 16680\n12406 16948\n2044 10763\n6305 6803\n15632 16443\n1244 4556\n856 4179\n4627 9341\n4521 9105\n2831 3364\n7859 17002\n11124 14279\n15628 17028\n8327 9985\n9831 11994\n7065 16201\n2384 8466\n5635 16796\n184 16962\n8193 17198\n4277 9059\n9335 9523\n10095 14468\n11215 11796\n4751 13192\n2722 11089\n1629 13149\n9493 13804\n9719 14320\n7241 13545\n661 12479\n5243 15642\n6752 9700\n996 2369\n10635 16962\n2959 11844\n2370 16359\n11351 14212\n935 14330\n5967 15052\n9451 15743\n2799 12071\n710 17139\n11053 15204\n11972 16785\n7595 15743\n5900 7800\n12395 14136\n8524 14978\n6307 6407\n373 8244\n4844 11545\n4516 12015\n5617 11212\n14492 16547\n2686 16789\n28 16724\n10179 10994\n8514 9841\n5877 17100\n5587 9604\n9477 16312\n1376 3094\n2071 6265\n15102 16630\n5380 9745\n4376 8911\n6921 8645\n1919 16460\n1891 13372\n7783 10346\n11137 15310\n3742 5375\n2414 8250\n11446 13164\n1519 17083\n145 12309\n10749 11217\n10635 17032\n5235 11985\n10446 12069\n11980 16221\n3670 8597\n9738 14571\n5874 13367\n5593 10119\n2584 7846\n6967 17407\n421 14467\n8549 16387\n10060 12913\n5737 13475\n1777 14629\n9310 13550\n13160 16944\n3204 6958\n2479 4304\n6216 11526\n4269 13606\n722 13203\n9104 11363\n10125 13684\n6904 14056\n5726 8289\n1460 13017\n11024 12466\n3757 8090\n10609 17038\n2008 6067\n6238 11213\n8728 9685\n141 12250\n14703 14871\n576 1633\n2756 8183\n9080 11953\n1809 12440\n10916 11398\n15 9111\n12359 15402\n998 4637\n10595 16513\n7499 10004\n2388 12363\n2481 5482\n705 11179\n5269 6165\n10253 14953\n1459 16148\n273 11488\n13566 15194\n3085 11727\n3558 3894\n7395 14225\n361 8266\n9388 16823\n331 14405\n3575 9240\n14512 16114\n372 16446\n4483 12419\n5901 17455\n8211 10660\n534 9077\n12904 15581\n1972 11809\n2758 4062\n8036 8612\n12885 14757\n12641 17015\n15664 16460\n4383 17187\n6548 8224\n3193 13582\n1971 9214\n773 12546\n2739 6621\n5377 8857\n8028 17392\n11499 14559\n13056 13849\n811 8643\n2612 12592\n5886 10929\n5548 13974\n8577 10748\n421 1636\n5523 7435\n10755 17350\n869 11948\n2791 6294\n10615 12545\n355 11797\n4899 14841\n11144 12223\n3973 12559\n14192 16961\n16251 16421\n4140 11819\n3044 5630\n6392 9870\n1085 13330\n582 8792\n6106 16991\n3531 4696\n6473 15449\n6799 11626\n242 13991\n1030 14707\n5241 16195\n7750 13003\n7237 12779\n390 12995\n652 12013\n1030 14502\n2921 8559\n4129 7208\n3650 14403\n4312 6394\n6361 9679\n6306 11663\n9242 13315\n6702 9568\n10773 10926\n5395 13221\n265 13442\n13851 14200\n16865 17299\n7473 17006\n2340 14719\n3127 13317\n7141 9297\n12320 13112\n2291 2445\n8604 15847\n1337 3596\n6616 9310\n2166 14948\n8154 13281\n6395 13555\n2966 11218\n1330 11378\n154 3067\n482 2973\n1731 7342\n5065 15538\n4307 9432\n6710 7757\n6007 7274\n626 16604\n1066 17219\n2217 8393\n5291 16338\n13417 15679\n31 9900\n1745 12198\n4065 10681\n6539 12993\n11967 14798\n797 1072\n8786 10418\n5334 10737\n556 12825\n4239 16069\n4038 5260\n13403 15036\n1553 13253\n6294 16715\n1887 6229\n444 7459\n4259 8251\n2799 6577\n401 1321\n7522 13449\n574 1173\n11131 13656\n7690 14988\n2004 3429\n1991 4783\n4063 4731\n4358 7480\n2032 10227\n920 2675\n5415 13687\n4830 12894\n3625 7288\n11957 13108\n12980 13377\n10618 11167\n2023 15205\n2559 3408\n5937 8814\n10083 12633\n1314 5386\n14015 16160\n2558 4983\n3884 14580\n464 16080\n8872 9335\n14931 15805\n571 2716\n594 2376\n4228 12646\n6054 13978\n1325 16379\n8372 14601\n2175 13155\n2606 3035\n221 8818\n327 12178\n3244 4277\n1263 14296\n4420 6537\n6769 11225\n9840 12639\n296 5972\n965 4019\n6210 14181\n2636 12439\n920 17362\n5629 16564\n7361 15772\n7681 7909\n2492 9923\n12819 14843\n2584 3594\n5426 5564\n11854 16227\n4955 5800\n120 16650\n13063 14832\n672 2968\n821 6375\n6643 14380\n5620 8633\n5402 11061\n7753 9816\n1432 4150\n2235 4676\n11267 11872\n11337 15450\n10171 11865\n1072 17291\n8369 14838\n10627 17089\n713 10743\n3434 13923\n8411 9558\n4980 15893\n7917 8419\n3630 6919\n9261 14282\n6751 10451\n4944 5840\n425 11722\n6952 16092\n418 1958\n7146 8534\n1397 16151\n993 14158\n4023 4372\n3252 7889\n2563 4185\n3345 5627\n5784 6546\n9172 11691\n6899 15828\n3356 7678\n3311 10911\n808 12795\n2886 9237\n8457 14711\n4484 10521\n7999 13740\n8947 13018\n1242 1472\n10673 13610\n1258 16833\n6828 16017\n77 16027\n5907 9375\n11399 13479\n1811 2729\n3795 9941\n9761 12521\n4549 7045\n9894 16481\n9231 12714\n8219 9360\n12465 13302\n7210 11449\n10602 11286\n6537 15909\n3286 8603\n8105 9471\n4632 10760\n4064 5342\n14044 16881\n13090 16428\n6704 14810\n12239 14693\n10208 16347\n3069 17427\n2163 15391\n11016 17272\n9873 14495\n4726 6166\n2319 9604\n7762 14801\n2677 15772\n1070 12508\n9312 16442\n799 16516\n1666 7640\n8834 14669\n4579 12035\n13728 14435\n4492 6307\n5197 16733\n14163 16638\n183 15996\n14195 17311\n3244 4524\n928 13295\n8343 13636\n8580 10067\n6812 15615\n7243 13650\n11975 17253\n480 696\n11501 16239\n5192 9782\n3184 9132\n1172 14882\n2396 11680\n282 10169\n3954 5300\n2467 11038\n1393 3304\n7086 9476\n6440 14256\n3805 10343\n4142 4267\n6333 17217\n9009 14321\n1638 14342\n6380 13467\n5086 10961\n2406 3873\n8547 15965\n8683 14214\n942 8145\n5361 17070\n14792 16239\n13225 16132\n1094 11827\n6815 8421\n11523 15105\n1552 13360\n5703 15523\n610 5878\n1561 4331\n3755 5936\n12843 17339\n84 7939\n239 14602\n1045 10833\n504 2332\n1320 15609\n3108 11040\n709 10346\n1248 9372\n6953 11365\n726 10127\n5067 5637\n5790 8070\n6384 16242\n3600 4725\n1221 7925\n4345 15946\n10399 16489\n12484 17019\n4135 15442\n2759 12690\n10783 14759\n2588 3676\n6249 10578\n11581 13720\n13419 13491\n6506 16097\n6985 9494\n3334 7171\n12825 15087\n1924 15550\n1427 3210\n9615 10828\n4318 7087\n2289 15776\n8943 17137\n585 15378\n12707 16473\n9385 13847\n6213 6390\n13156 14307\n11582 16877\n11654 15917\n843 8202\n5321 5930\n3242 11612\n506 14171\n1454 8947\n3733 13360\n2692 4157\n1622 14611\n4028 10513\n8231 10372\n5871 9815\n2387 3116\n4738 15379\n11088 12074\n4649 11380\n2367 14713\n1806 3788\n9707 15600\n5481 6024\n2320 4807\n553 15690\n289 14391\n3184 15005\n1569 6034\n3292 12812\n5565 11853\n9745 10697\n675 10658\n9446 16337\n1838 3065\n2919 9295\n7294 14821\n6750 15418\n14813 16288\n560 15352\n10998 12630\n8642 12012\n5074 12474\n2047 9177\n8322 9054\n7161 8509\n4877 12079\n11638 15779\n10216 13835\n9543 16156\n1089 14953\n782 16195\n10303 15908\n11238 13521\n3699 16493\n2117 12465\n16035 16637\n14317 15114\n7783 14501\n4538 17426\n578 13233\n11508 16038\n5930 6241\n4021 17392\n2614 17036\n11812 12457\n7776 8020\n5598 5941\n6523 12859\n280 16015\n491 11770\n252 16279\n3622 10790\n10467 13253\n5959 13133\n9484 16596\n952 1064\n4012 12600\n16890 17440\n11218 11504\n16738 17219\n401 5677\n10176 14057\n2112 16658\n6500 6836\n4278 14965\n11595 13064\n446 15817\n4329 15060\n7103 7879\n12566 15015\n6136 11177\n954 8703\n15856 16964\n7109 8249\n4853 17126\n6308 7955\n2198 13116\n14725 16433\n10510 11631\n912 7217\n2505 13744\n2602 16339\n1149 4687\n3703 16296\n12403 16031\n648 11023\n3646 12221\n2252 9666\n12884 16396\n11509 15168\n11241 17402\n4730 6182\n10904 17010\n13236 14482\n6020 8900\n2142 8445\n7285 14295\n5404 10530\n10319 17189\n1180 4729\n616 16849\n7281 13040\n2110 8899\n3202 8223\n15010 15662\n10361 16749\n7381 9648\n750 13895\n3001 3097\n11241 17240\n5169 6188\n11245 12108\n5856 15968\n555 4824\n3384 4905\n3480 7790\n1991 6353\n12031 13377\n8823 11552\n5973 8494\n14733 14912\n6860 9753\n15068 16660\n426 3463\n5777 5987\n3241 13823\n4263 16864\n2204 4791\n2181 14526\n10595 15505\n5798 10051\n1128 7987\n8810 13929\n7955 12329\n3541 5132\n8803 9169\n6810 14037\n9176 11136\n10696 11507\n1803 8377\n24 9334\n1038 15370\n7435 12572\n4813 6589\n1042 2932\n533 6401\n11436 14319\n644 4525\n4423 10813\n13882 15891\n5915 9065\n1802 14816\n8247 15060\n5955 9225\n6922 7413\n6915 16648\n4336 5921\n4370 12959\n9435 14722\n16588 16928\n10352 16206\n1699 15135\n2482 13971\n4016 7659\n6449 15072\n7621 10162\n7068 10375\n6926 8655\n10011 11953\n1737 2977\n1946 2562\n1040 16543\n5932 11459\n356 2600\n1568 9109\n8835 12963\n877 1311\n10982 16788\n1397 10455\n3467 8387\n9477 14369\n4134 16228\n97 228\n2947 6164\n2603 10940\n2204 10996\n2617 8796\n731 14362\n1052 4953\n4394 8628\n7069 13368\n14198 15415\n8128 9651\n9737 10660\n7404 8178\n4003 13198\n13055 13083\n16078 16322\n260 15283\n5675 8304\n4532 13996\n13615 15963\n2647 3865\n4599 8823\n1310 5452\n2713 7019\n3419 12084\n7599 13406\n4719 13141\n13539 15712\n2993 13867\n2841 16380\n16280 17358\n84 4260\n900 8125\n3726 12741\n13544 13823\n1314 9255\n8741 13627\n15077 15810\n2806 5179\n2910 6586\n764 17256\n5276 16569\n2848 9121\n9156 14253\n8907 17237\n5713 13632\n3618 9386\n1579 8552\n7084 16997\n1145 4838\n1174 5321\n11772 16763\n3696 14842\n7568 11465\n14908 17099\n9798 14873\n5389 9525\n5926 6119\n2999 16247\n11529 12790\n34 4271\n1637 8785\n9461 12857\n1303 5698\n9522 13008\n3685 13129\n11859 14378\n14827 16286\n888 10462\n2416 4618\n1540 17377\n9605 16261\n1984 16688\n3021 13767\n58 9027\n222 8043\n792 13093\n2897 16815\n1638 9822\n980 10122\n5991 10448\n12526 15298\n4667 6755\n5510 5987\n2829 6276\n10654 12885\n11796 13728\n5528 15380\n12193 13290\n7829 8194\n1136 11293\n4 10554\n382 5370\n12633 13307\n6538 15735\n14394 15364\n3207 4238\n7388 17237\n3839 5820\n959 10880\n10941 11473\n4717 13668\n617 1166\n6047 7184\n3015 17059\n5656 10472\n6564 10030\n3899 10878\n8575 17367\n1614 10294\n3198 16880\n3543 6709\n2255 12546\n10714 13823\n683 12974\n7797 16664\n7447 16885\n6239 14561\n272 12972\n1798 15928\n826 3837\n2926 6074\n1114 10846\n4709 6004\n13724 17174\n7812 8477\n7557 11823\n1900 2101\n4299 15974\n2889 15762\n852 6612\n670 5395\n7263 12935\n410 5358\n2686 11926\n15736 16125\n8824 15062\n869 15176\n8932 11354\n2106 9150\n5169 6466\n9061 12975\n2784 12662\n6982 7448\n2668 13579\n642 15781\n1581 4161\n13878 15495\n7182 15127\n5183 13937\n5233 11264\n3791 5020\n12677 14413\n6904 13092\n2768 9435\n822 14425\n1 9627\n12367 17040\n617 15878\n13954 17004\n435 9444\n1713 3022\n5489 10611\n3387 17027\n9666 15934\n16113 16650\n8687 14862\n4176 6312\n4746 8479\n807 15429\n4152 6844\n3530 12642\n6336 15293\n8653 12435\n4053 10727\n6247 9941\n2718 6793\n4116 6310\n1461 13540\n3774 5496\n2403 5119\n2244 15192\n1053 5715\n12641 14882\n1322 3190\n3834 13783\n2720 12216\n9669 11820\n14573 17016\n7044 10458\n851 11554\n5642 6793\n15309 16358\n3175 10277\n2954 11496\n652 1100\n1120 14190\n1440 3340\n3018 15357\n4166 5701\n2737 6161\n10129 10435\n7433 16165\n5641 13959\n15092 16457\n14570 16671\n10359 17081\n8012 8961\n11359 15280\n1713 8188\n8128 13941\n2662 3576\n3092 6385\n16618 17149\n4314 15078\n10663 16474\n1216 1751\n6576 13163\n5565 13439\n6065 9945\n4719 5894\n3857 14955\n2331 14644\n7795 13460\n13655 15732\n2869 3397\n10242 12571\n3677 9612\n6315 8083\n4186 4609\n12316 12794\n6893 12959\n7797 10590\n4912 16405\n2802 6525\n3723 11068\n10821 15167\n1917 15572\n5001 11936\n1303 17029\n3630 8672\n9189 14438\n2139 7061\n1548 5808\n2173 10399\n118 8048\n4496 10640\n1484 17310\n3513 9789\n589 8638\n1464 15678\n12745 14740\n3705 14222\n1866 11990\n3027 5647\n6060 6440\n10660 11937\n10994 15807\n1167 16318\n8131 11302\n2989 9129\n14773 16150\n6754 10505\n108 11801\n12407 15184\n5879 8342\n6235 14830\n7785 15993\n5024 10878\n3831 8664\n4123 9597\n2388 8599\n9185 16627\n2497 12650\n5233 11134\n15713 16455\n984 17032\n9071 12137\n4485 5975\n3581 14996\n11750 16904\n7901 11464\n6482 7894\n1185 5791\n6737 8212\n2176 13761\n6245 10635\n6995 7884\n1424 7882\n6939 11093\n2501 9890\n3454 10858\n5498 12542\n11442 16154\n4083 13513\n3522 6209\n3948 17074\n1485 16708\n10347 13066\n10118 14977\n705 10285\n12355 12438\n68 4103\n1263 16989\n11467 17171\n5953 12198\n15094 15223\n7214 10277\n4046 7527\n8603 14161\n11676 14704\n2195 13029\n1770 10223\n3286 7721\n343 6474\n4299 14454\n905 5449\n7323 8950\n2854 15856\n6745 7256\n2196 3094\n13112 16921\n7652 7838\n3943 15717\n1987 2114\n1373 3443\n8307 12218\n7172 16782\n7350 10962\n12960 13324\n9981 17038\n6648 13163\n8978 11002\n4724 8101\n11983 12545\n6386 13513\n6095 17164\n1460 3408\n5817 16981\n10506 13033\n5535 6719\n3335 8117\n7708 10974\n13898 15430\n13355 16594\n2571 11538\n12918 15817\n2326 7590\n6527 15320\n1945 10498\n6362 10156\n5571 16043\n9467 13234\n12435 16597\n427 15742\n5947 7207\n1880 6905\n6445 7484\n33 9447\n339 13952\n14632 15984\n1711 10881\n8410 8874\n1621 9104\n411 14423\n3034 8069\n8197 14324\n4631 16150\n1772 14882\n5672 13987\n13013 13701\n2286 12939\n11384 16247\n10477 15179\n1922 13221\n2081 10434\n2025 6840\n7270 12396\n1766 6915\n1512 13943\n16335 16487\n6430 12278\n1669 5859\n11528 12919\n53 2244\n11204 16183\n6733 7327\n7959 10754\n2205 16628\n182 8213\n3363 6012\n5407 17257\n1283 4137\n5762 11348\n13631 15111\n5310 9525\n14080 14536\n1349 7083\n8684 10124\n4844 13446\n7225 16958\n500 16674\n7075 7827\n9645 15296\n8690 9423\n11392 12238\n7456 17198\n11044 16567\n10710 11976\n11001 13880\n4919 6941\n9053 14403\n4015 9662\n7648 14421\n5595 12964\n13903 15733\n13046 14443\n5891 6014\n3178 16131\n9900 14200\n9633 13273\n6959 10291\n7634 10382\n381 12962\n4468 5356\n5682 17247\n9383 17404\n10404 14049\n5762 12399\n14308 17174\n947 7755\n2347 5869\n5759 9793\n12821 14473\n9125 9507\n5397 5547\n6890 16349\n5744 15369\n6297 16656\n2152 4311\n2221 4572\n10264 17219\n255 10894\n1919 9056\n15063 17329\n10142 10259\n7708 8874\n1558 6243\n3417 16942\n15483 15527\n11899 16538\n4312 15752\n1491 13736\n9366 13320\n314 5679\n4778 10222\n9134 14479\n1666 11156\n7335 9590\n5212 5473\n3273 14003\n853 15788\n3522 13223\n16681 16811\n8770 10106\n5982 10718\n3859 14357\n6948 8951\n13008 14225\n193 3312\n3175 7666\n1862 8403\n5827 14548\n1092 5473\n4119 5944\n5014 10365\n2933 10780\n5328 11703\n13556 13895\n2292 11743\n860 12324\n7088 9780\n5866 10023\n2996 8363\n2027 8968\n5458 13042\n7034 14217\n1749 8365\n6942 13180\n13608 15321\n7286 7530\n11961 15561\n3405 13314\n16963 17278\n3231 8766\n652 968\n9258 12502\n10226 17007\n1121 14528\n3378 7809\n3382 17222\n6299 7377\n3476 14777\n7010 9076\n2938 11348\n3355 7396\n12775 16915\n14537 17236\n5124 5734\n2882 5727\n2413 12105\n2236 7251\n4184 13918\n14777 16770\n62 7871\n8770 15637\n584 10143\n15737 16092\n9493 13168\n5798 8112\n16154 17164\n2011 6363\n2876 13800\n5498 6687\n1958 4002\n8495 12645\n3601 16344\n1315 9942\n10702 14033\n12296 12419\n690 2305\n3808 10084\n74 2253\n10071 16038\n5502 9450\n7509 13114\n1337 14048\n11213 17321\n1023 7534\n8993 9664\n8090 8711\n5582 11135\n2638 4858\n16255 16681\n7891 10308\n6366 11514\n6574 13625\n7431 16677\n8317 13913\n13771 16163\n8687 10694\n1379 3848\n775 1808\n8492 16942\n6340 7849\n27 11020\n272 8172\n9916 12606\n674 10718\n9103 11670\n5942 14118\n5347 9518\n3735 4232\n2826 4615\n3585 4853\n5082 13174\n3252 6459\n7965 16341\n13985 16530\n7036 8249\n5057 16834\n109 6296\n1146 17168\n3359 9893\n11104 14615\n4778 11519\n5400 12478\n9646 14928\n5771 15005\n9004 16893\n190 12032\n1179 9632\n3817 15719\n6911 17269\n3127 6573\n5954 13276\n9512 11698\n6524 16888\n1364 7931\n9588 15551\n264 16113\n6399 11483\n9716 12275\n2448 10975\n10346 13330\n102 9588\n7997 12336\n5138 8601\n1722 10643\n480 7334\n3185 14717\n1371 4396\n2695 5778\n3911 11023\n11171 13166\n2393 15000\n11228 12824\n2684 16471\n2812 9854\n1033 11612\n657 15149\n1622 3082\n1469 9962\n8581 11812\n4567 8285\n1555 1741\n2352 9511\n2410 9063\n5201 17012\n6909 16441\n1373 17259\n1121 3355\n11573 15291\n4773 11574\n1120 13877\n5725 12691\n9807 14543\n1694 5426\n12206 14320\n8029 17238\n4190 11654\n3514 8169\n5735 7604\n8455 17346\n7412 16338\n13360 14283\n1204 16420\n1860 3073\n1130 11826\n9772 10682\n10102 14204\n10905 15262\n14402 14410\n3602 7044\n4905 10501\n10653 13665\n4499 11042\n7700 17337\n4388 12158\n4499 8399\n12379 14579\n3413 8858\n6951 7452\n3822 5894\n10615 13872\n11704 12018\n6851 7777\n3387 9393\n2693 12190\n7654 16676\n281 12202\n1954 5263\n13883 17123\n6703 15575\n6616 12203\n15084 15980\n6612 15641\n11389 13076\n7099 10338\n14314 16169\n7243 15975\n4231 13153\n1320 14821\n10074 14467\n9447 11957\n2516 13672\n948 14317\n4749 14311\n9779 14447\n1944 16530\n1828 7788\n3411 10832\n1188 5128\n6775 17226\n877 4741\n8342 16696\n2376 8384\n467 14120\n5151 9610\n11010 13887\n10528 11913\n1739 2609\n5778 11494\n4611 13119\n5804 16739\n2686 3795\n688 7631\n7221 16669\n1689 12004\n10865 10951\n10025 16354\n9316 10767\n383 12807\n5051 15663\n8790 10213\n10333 14030\n8110 17192\n408 1183\n12396 16041\n1602 12792\n3449 6344\n11299 15980\n1718 7110\n2350 2709\n11614 16683\n5963 13905\n9279 16663\n831 12741\n7658 7920\n5228 10238\n168 13283\n1858 17316\n537 10491\n1210 10757\n15361 16678\n1950 14546\n11050 15433\n2630 3544\n3050 8438\n2319 3859\n949 10212\n5444 8119\n13999 16505\n6146 16812\n7913 15476\n7370 13880\n4448 7055\n6093 15619\n4005 5268\n14339 17454\n3693 9720\n8672 11662\n4877 16242\n2497 17432\n6197 11159\n7981 12506\n5268 15746\n9810 17399\n3098 15294\n5666 10919\n5662 8207\n5261 6848\n7260 8602\n16269 16640\n7458 14372\n189 10015\n4051 7648\n16909 17168\n12439 14489\n7554 12553\n6918 12134\n8658 15911\n10202 16532\n1065 3325\n756 5374\n12478 17249\n15906 17289\n6233 14881\n4955 12160\n1342 13972\n7604 12048\n12365 14860\n3161 6221\n4723 13747\n4525 12717\n31 17071\n5056 8948\n9724 10763\n1572 4414\n13478 15653\n10254 10407\n6201 15842\n4828 13436\n1751 1990\n3334 5233\n7818 16044\n3256 16141\n15762 16468\n4430 9172\n3188 3206\n2041 7979\n4497 4958\n11100 17083\n157 11614\n503 2758\n4106 4305\n1158 11804\n1638 7489\n2872 7477\n5588 11673\n8047 9290\n4121 5359\n6126 12738\n384 5457\n3232 13852\n1856 6678\n3727 15810\n2496 4580\n4314 12010\n7805 16398\n5023 15342\n7583 8402\n337 11790\n5592 11142\n4708 16385\n5955 16711\n1919 12697\n1435 10695\n6871 8672\n2198 13326\n7442 15158\n8652 16613\n3663 4796\n4869 9125\n9730 17167\n7869 11887\n10672 16533\n5109 10639\n1220 12053\n3518 14079\n10851 11566\n5384 14415\n4910 10249\n8914 13152\n1950 7850\n7446 13329\n4614 8188\n12124 13671\n5056 14095\n13360 15720\n3454 14275\n80 11451\n1192 2522\n13971 14922\n16997 17327\n6599 10557\n8140 9626\n6710 7034\n11972 12021\n9831 17400\n628 3952\n14507 15239\n3444 9658\n11082 14967\n3692 5825\n5372 8224\n5591 15256\n52 15194\n11832 15164\n3316 5395\n9359 13716\n11256 16735\n8163 14757\n19 4091\n5682 6871\n9261 14219\n2183 9107\n6932 16475\n3500 8120\n195 16161\n6223 10273\n5145 16577\n9021 14106\n1579 3232\n5817 5978\n11557 11904\n8070 16149\n483 5427\n4476 12231\n2846 16229\n4363 6942\n1282 4015\n4624 6261\n4102 17268\n382 9540\n13709 14644\n1185 7247\n263 9020\n9537 12824\n279 6578\n4727 14262\n14062 17123\n1596 14446\n3070 11692\n10953 16447\n2147 8941\n11663 12462\n6359 13508\n492 1681\n1175 1335\n8942 14755\n2599 2906\n6216 7053\n4473 9082\n2877 15028\n9050 17087\n322 3951\n4479 16116\n1910 16709\n13517 15132\n4106 5121\n5664 8171\n1778 15629\n11297 14565\n6590 13667\n3225 9297\n13283 15668\n6907 14273\n1767 15546\n13934 15712\n8603 13876\n327 16242\n645 2406\n10205 13980\n12970 14516\n310 8339\n3477 3977\n8743 15158\n2078 3160\n12189 14766\n9334 15504\n1012 10197\n4096 5972\n9589 10499\n12171 12600\n5960 10601\n5809 14002\n6329 13168\n3203 4633\n9130 9786\n4793 12064\n8144 9973\n8785 13804\n3761 7378\n10931 13813\n3946 4735\n8269 12793\n2624 10958\n2262 4746\n11644 12949\n512 15164\n4962 10585\n7593 16464\n5968 11438\n2268 13755\n7386 16223\n11465 11906\n2340 10919\n9655 10335\n4584 12948\n2111 6985\n3041 6753\n11692 13677\n4626 16489\n8219 14125\n9441 13626\n4454 14024\n376 4230\n4411 13687\n176 12706\n4823 15210\n1035 3544\n10891 11442\n1144 16639\n6605 10837\n5555 9670\n4788 6081\n6244 10561\n8236 8591\n4211 7038\n2386 14462\n5599 8675\n102 13493\n7979 14097\n15118 15274\n5640 13463\n10965 11853\n7702 16929\n2013 10352\n2940 12065\n8551 11092\n3123 5780\n7223 12220\n10490 13695\n6487 6683\n7238 15293\n940 6540\n7286 12040\n16057 16563\n8221 8900\n775 2328\n2302 7559\n4944 7897\n1643 9036\n5403 13833\n3133 9542\n2525 6752\n7547 8382\n1971 12751\n10194 15397\n9973 12806\n1028 3930\n4290 6619\n6983 9549\n1679 6674\n1710 5088\n5271 15825\n3982 8227\n5473 15582\n2852 15565\n1350 3683\n3955 8305\n6015 16695\n5286 5581\n4420 17422\n6879 12235\n4449 6889\n10410 11115\n8405 11245\n2929 8451\n892 8975\n479 4207\n4646 13722\n2131 16796\n5701 9679\n4845 10378\n5698 7905\n8925 13114\n6706 7162\n129 14392\n2718 15980\n500 3442\n468 11408\n10739 15920\n844 9688\n9021 13809\n932 1783\n4013 4250\n4200 7407\n15283 15503\n69 6482\n8455 9385\n2565 3649\n13565 15858\n5592 11415\n6679 7453\n5234 9530\n5575 9637\n13743 16384\n11021 11109\n9688 13837\n5554 9971\n8922 11788\n11824 16487\n3716 6951\n13289 17050\n1333 9924\n2826 12945\n2514 8307\n3657 4514\n1397 14383\n4623 17281\n9327 16513\n3628 6122\n2581 13469\n1083 17432\n14471 15721\n8453 13714\n1560 12981\n5823 14709\n8023 13109\n6440 9027\n3018 15300\n1873 12118\n14322 17414\n6652 16766\n5812 17333\n1553 10844\n6107 10215\n4305 6757\n5356 14567\n10500 13179\n1477 15067\n596 2847\n3105 8614\n6938 16455\n1387 14423\n5679 10551\n6704 16408\n4173 13484\n1005 2873\n367 6901\n4280 6810\n1122 5688\n8329 14656\n8485 8708\n12443 14042\n3051 12816\n1703 1771\n9820 10012\n5641 12092\n4305 10460\n59 13128\n4973 9320\n4653 8800\n12976 15949\n4859 10293\n1441 8895\n10303 11407\n10246 13567\n7069 16256\n4001 14278\n4526 9032\n3622 16913\n8714 12525\n6795 14037\n6865 16439\n7798 13214\n4528 16037\n8994 16894\n7889 17100\n6244 13067\n10161 13480\n4994 11470\n6895 6910\n8645 16530\n12430 12491\n4636 17193\n417 11038\n3668 12346\n5404 8363\n8316 12065\n5528 10126\n6223 14174\n1737 16660\n13365 15759\n7087 15371\n8435 12053\n1530 6708\n8137 8409\n10239 16307\n503 5714\n4502 8000\n4849 6127\n7088 10628\n4552 5389\n856 7299\n1004 1884\n2591 4204\n5994 9919\n8680 14639\n3032 7062\n3306 11223\n1612 9486\n3822 6091\n711 4386\n3305 16819\n3374 9575\n4452 12217\n14804 15217\n6026 8521\n3852 16932\n7853 9662\n5439 13789\n12398 14268\n10817 16752\n1500 8420\n4996 11723\n713 16756\n3897 6124\n5644 17315\n15483 16695\n882 6727\n14181 15461\n3649 10248\n2535 3534\n5702 15978\n9449 14775\n2164 7293\n13052 15364\n344 9322\n3652 4770\n8590 16856\n11710 13062\n6908 8566\n10877 12918\n5120 13564\n5399 10901\n10505 15016\n117 1338\n4725 9333\n3194 8991\n10603 13252\n12743 17200\n7578 10363\n6809 8773\n1352 2980\n8922 16040\n10426 13547\n3955 12484\n2732 9250\n3973 11037\n6009 16017\n8396 9635\n3098 11875\n11057 17030\n3457 5817\n3714 3805\n5187 17306\n12434 16710\n2505 14719\n1010 2114\n5410 12253\n15835 16028\n1046 6290\n578 14013\n9246 10016\n13023 15109\n34 1864\n3838 6853\n9879 16756\n2986 11313\n3602 11681\n6042 11460\n16235 16489\n14730 15577\n4744 4999\n1207 15367\n59 11431\n655 11686\n9652 13030\n13420 14497\n4785 15654\n912 13657\n11239 14200\n4039 4231\n9137 15305\n2459 9394\n710 16367\n5359 10453\n3259 9395\n4023 14974\n6438 6698\n12849 13943\n8110 10829\n4360 16700\n12520 16038\n4417 14382\n8619 9346\n1338 16390\n3874 4978\n566 12165\n7532 14395\n3341 17190\n1177 5055\n5403 9835\n2082 15643\n737 6729\n13310 14195\n398 656\n5327 9704\n1891 12016\n8003 15679\n8264 10483\n1664 1929\n4093 12952\n6524 8593\n10260 14648\n5644 13159\n12012 13924\n7257 16268\n12085 16838\n4640 13928\n1425 16365\n5291 13520\n9320 14347\n2752 16097\n2220 3339\n2228 6700\n12979 16463\n6412 8607\n3137 13381\n3240 7458\n2666 3023\n5444 9704\n1408 4023\n635 2305\n8976 13215\n3858 16343\n3255 9713\n5789 11691\n6611 9278\n1792 3496\n8007 8882\n4967 14452\n4221 15859\n11049 17131\n4999 11106\n4916 14330\n9326 14512\n7640 12013\n8242 15842\n1908 8469\n665 2460\n4674 17249\n4791 13943\n3925 7681\n4 4436\n7292 15500\n6011 6650\n12381 15876\n10274 12459\n14218 15561\n7496 7815\n7130 7161\n9267 12529\n5902 6251\n6014 7081\n8754 9468\n4691 9996\n1353 16529\n5377 14791\n7363 11644\n12186 14757\n1130 14808\n906 15593\n9204 15967\n12221 13651\n1731 17325\n8023 17418\n2584 14254\n3723 13114\n1774 12315\n12611 13540\n4060 5170\n1088 13582\n1475 1574\n5637 14395\n12504 16630\n630 8434\n3255 6325\n2241 12961\n7025 10887\n2405 5893\n15398 17369\n255 10014\n167 15849\n9943 12805\n3605 7034\n4038 12141\n5941 13161\n5645 5939\n12700 17209\n11796 12445\n885 17353\n7933 12554\n31 2421\n9739 14534\n928 14162\n6601 10642\n6240 14916\n10720 14104\n1238 4437\n2725 4480\n7657 9727\n7355 10508\n14755 16613\n8267 13699\n4779 6935\n1606 13484\n5237 8890\n2142 5753\n2502 13384\n3107 12369\n8284 8618\n13861 17046\n3427 12138\n3902 11036\n7973 16569\n5247 11429\n5978 16486\n9621 12879\n375 13219\n3218 5595\n8494 16815\n9606 14245\n8514 11401\n2006 6376\n5776 8234\n1493 2886\n2932 11392\n7558 11196\n53 3216\n4746 9565\n10044 10807\n9289 16358\n468 2964\n8791 16177\n3387 12038\n3633 15914\n1179 15839\n1432 12518\n1635 3791\n11959 13345\n16889 17070\n13882 15612\n4756 8975\n781 9757\n11856 13873\n1345 1880\n7972 14853\n8460 9371\n9080 13162\n127 12724\n4585 15592\n3359 7364\n5380 14157\n586 3061\n5881 15535\n5359 11040\n10092 17388\n780 9641\n4956 9689\n5416 8591\n13206 16859\n1026 12172\n2439 16349\n3018 15823\n583 15711\n5389 15638\n8763 17239\n878 6244\n1393 7258\n4242 10988\n6098 11968\n10960 13788\n1791 6050\n13272 15796\n11347 14072\n2655 12244\n2351 14572\n5855 7504\n15355 16268\n7977 15228\n535 8410\n1434 13821\n5285 12309\n4796 16540\n12840 13742\n292 3534\n12613 14011\n11948 17116\n9833 13679\n449 2964\n9687 14284\n3681 13000\n9602 15850\n15100 16181\n1388 3770\n10822 14552\n1466 7665\n5414 6400\n850 6359\n4394 15743\n236 10044\n9713 15412\n6098 16012\n4645 12559\n2714 10774\n5095 5869\n9313 12642\n10071 17270\n4370 9527\n3536 7081\n11915 14824\n2765 13793\n13142 15931\n2908 17250\n4664 7468\n4044 12881\n15420 15831\n1230 17232\n13473 14858\n226 9789\n770 3200\n4848 4900\n9343 12831\n12826 13363\n7287 9686\n712 4099\n11828 15751\n1451 7979\n13627 13825\n1199 9820\n6118 17376\n784 1711\n8213 9223\n1500 7122\n1282 9681\n14343 16179\n7672 16997\n5678 14115\n2669 3533\n954 16468\n10551 11765\n4542 10419\n1570 14971\n3847 16859\n3173 11575\n2599 10588\n13865 16168\n15463 16954\n3692 5370\n3565 14917\n2187 16211\n6307 11411\n4903 6486\n1876 15687\n7989 15263\n3704 8337\n926 4646\n1074 5506\n14782 16402\n11731 16430\n11955 13119\n11855 11869\n3132 14852\n5089 5785\n9510 16149\n11030 15937\n1721 15744\n15219 16919\n9842 16237\n12748 14300\n3372 3454\n2572 2778\n2975 14013\n14054 16421\n4314 15673\n6761 17417\n5479 15998\n4624 10122\n14488 17278\n10368 11376\n1270 16205\n2713 6788\n4097 8359\n7116 15955\n7356 14818\n15540 16409\n937 10817\n2805 7405\n5602 13346\n7035 8227\n3624 12486\n225 9408\n167 4828\n9201 11659\n12081 15187\n11780 13513\n4953 13242\n5308 7589\n6033 8528\n4431 6399\n12376 15335\n6983 8585\n12782 16042\n2842 16770\n8399 15420\n1115 9566\n9054 14458\n3147 11709\n2751 9106\n7675 10442\n7026 13159\n57 2682\n8591 12695\n683 14814\n8763 14905\n3552 5321\n5272 16843\n4322 17218\n2374 7366\n8759 14973\n2312 14068\n6371 15088\n5891 8976\n1096 7753\n1105 3779\n9876 16597\n9572 16859\n5989 8887\n15257 16310\n6316 8329\n6596 11677\n10502 17413\n811 9462\n6024 10285\n1926 7522\n169 2164\n4086 16645\n10328 13112\n8040 14986\n11874 13116\n10742 14461\n213 14429\n4559 7534\n6766 13431\n5798 7535\n8680 16258\n2935 13373\n1917 13965\n4215 5522\n8625 12915\n11320 15678\n11327 15003\n5848 6027\n9965 14093\n3193 16681\n1383 1835\n10947 12284\n3457 14012\n6003 7368\n11109 14611\n11930 13694\n10112 13472\n985 6045\n410 16781\n1498 13018\n4811 9454\n8500 17284\n2651 11936\n357 16595\n3079 6933\n11180 13532\n1980 2043\n7596 11230\n8071 10875\n9728 12062\n2764 13404\n373 4519\n4739 15862\n6413 7251\n5075 8731\n3074 14477\n6528 14658\n821 12548\n880 15719\n6477 8146\n1477 5144\n3028 9667\n13877 16694\n3297 16871\n8047 12673\n870 6005\n3862 16684\n11647 12900\n8202 13399\n734 2268\n4623 12187\n2045 8632\n7396 14818\n14433 15708\n13605 16909\n14654 17133\n8077 16343\n4456 7082\n5383 6621\n12281 16748\n2256 10421\n1770 13854\n7022 14041\n8568 11721\n2994 4655\n9357 17442\n10439 15838\n7593 12121\n7733 14445\n9916 14001\n14292 14935\n1181 17033\n2926 6430\n9651 11885\n14242 15255\n1286 8105\n3076 16645\n3585 10477\n4454 9954\n3305 3742\n6924 10803\n4252 9718\n3825 6981\n6195 8883\n3205 11289\n6986 7056\n16629 17347\n943 9787\n4540 11462\n7044 12765\n9342 10105\n14771 15416\n4101 16018\n3759 12299\n1454 16299\n2614 9671\n11708 15732\n14846 14864\n5323 13426\n5614 16763\n3684 4241\n1134 7367\n7025 9171\n2252 2525\n2964 16616\n7393 11316\n14689 16922\n2681 10016\n6429 12281\n9166 13046\n1525 14720\n5860 13090\n8214 13448\n1804 16123\n3063 10264\n3045 10277\n14113 17352\n13734 14658\n6467 11024\n2904 12690\n12662 13954\n5306 13271\n5707 8439\n12803 13260\n526 17055\n8892 17074\n2930 16976\n12151 16686\n461 15803\n9503 17396\n1429 11623\n11131 11498\n9734 16367\n2424 12920\n11188 11530\n3302 4492\n5693 11905\n5836 6789\n3454 17051\n14341 16273\n11150 16905\n6678 13934\n8806 11060\n872 6379\n1331 8355\n6528 10733\n3240 7631\n14700 15929\n1817 14609\n6765 7972\n4194 5845\n5749 16922\n4510 10893\n2155 11660\n1830 4657\n2005 14886\n4961 16132\n6006 8059\n6701 6968\n9314 14191\n2276 10038\n1528 15682\n3674 8656\n3370 9207\n9849 16863\n9697 16990\n4392 7423\n13109 14441\n13879 17001\n1999 10515\n1883 16861\n6070 6132\n1794 6863\n2468 9986\n5423 6111\n6259 14254\n930 10060\n4214 7881\n6191 10612\n274 12753\n49 5084\n1197 9913\n886 6618\n5663 10512\n4194 4704\n1771 7633\n3134 12575\n2186 11384\n16154 17398\n545 9196\n12594 12769\n1458 14743\n3683 7437\n6554 10627\n1651 12253\n3300 16687\n2872 5581\n8467 9998\n7081 15701\n6421 17281\n7065 11292\n7671 15173\n8984 14128\n1379 16477\n13391 17016\n1383 4891\n5919 15673\n2543 13879\n594 5659\n8165 8766\n344 12850\n14312 14978\n11287 15461\n1807 6245\n2509 9819\n1731 6582\n3443 8120\n3404 16272\n9913 16372\n9370 11697\n3646 13143\n7827 8758\n82 16932\n3180 15814\n6978 9475\n1294 2437\n3054 13334\n6502 12742\n4886 14115\n1136 5145\n8731 14207\n11093 15693\n4227 15167\n5501 11118\n4403 13489\n2212 3706\n1673 6152\n12268 13982\n4243 11150\n2101 12426\n3074 11281\n10103 12647\n1301 16315\n2933 7154\n8928 14745\n16962 16972\n9678 16523\n7291 13796\n9045 12631\n1602 10286\n3368 6761\n3208 11350\n11754 13473\n1496 14548\n528 13521\n3735 5397\n17200 17207\n2939 6629\n8561 10874\n4410 5521\n12121 14337\n13600 17216\n5541 13451\n887 11329\n10237 14860\n4089 5774\n8244 17040\n2550 6643\n3159 14774\n9987 14771\n4609 12859\n13407 16334\n2276 17388\n13676 15936\n9345 12419\n4242 9673\n10811 11972\n1306 16995\n5128 14463\n10851 12545\n7210 14550\n8204 13773\n3898 7411\n7471 17064\n1994 13021\n12955 15064\n711 10673\n6425 11584\n4106 10563\n10808 15853\n9593 12894\n2143 17216\n12186 13779\n276 15310\n6555 16922\n5856 5929\n1450 7943\n215 1332\n4107 5401\n14645 15040\n14332 16159\n7701 15479\n906 4485\n13202 16010\n3642 7754\n4754 12572\n7156 11947\n2839 2880\n7687 15042\n4902 17274\n2745 15009\n1584 9319\n14316 16153\n1239 12929\n11957 11960\n10084 14303\n3259 14274\n14256 15967\n6495 12987\n11409 16052\n203 2247\n14790 14876\n12648 16350\n5048 7750\n1922 10574\n4017 11690\n3208 8561\n13280 16917\n9287 11419\n5697 15730\n8447 15676\n13240 16018\n4869 14705\n832 17117\n7154 16503\n15137 16889\n14185 16688\n12366 15545\n6389 10087\n9938 11396\n3403 8591\n16939 17081\n6512 9810\n7496 13739\n3806 14862\n3757 6751\n4783 14037\n1532 5688\n12710 16634\n9159 10585\n3143 8688\n5102 14285\n6980 16255\n7049 13078\n5886 9408\n3461 9812\n9243 11598\n581 9516\n4043 13719\n9277 12259\n10050 12102\n4069 16534\n8842 11704\n6458 15924\n6111 15151\n10126 17307\n2168 12133\n2781 15023\n190 1010\n7257 10027\n11575 16228\n1308 13569\n11721 12736\n14327 15277\n5901 10317\n8769 15706\n6165 14837\n6527 12197\n7847 13204\n7604 17246\n5311 8733\n4704 14101\n5406 6850\n12710 15059\n10216 15276\n13967 14783\n7330 13661\n4966 11538\n2080 2478\n5064 8591\n13224 13816\n12844 14090\n3387 15890\n13921 16197\n3234 15450\n14826 14938\n4159 7100\n5203 13056\n1266 9497\n5075 5226\n2588 8418\n1668 4245\n2024 16889\n5757 14786\n6765 8115\n3509 15588\n3522 10235\n3042 10431\n9030 15281\n7703 10090\n8035 12411\n4173 4293\n5252 16719\n5910 12293\n11854 14908\n6610 11784\n3173 16019\n5377 11813\n3652 10737\n6628 9377\n4171 16097\n444 9326\n3498 8186\n6324 10790\n949 8352\n2666 15117\n1590 9053\n568 11220\n2438 7794\n4154 4656\n2784 7195\n4504 4641\n11363 14578\n1694 11977\n6581 12294\n3627 12079\n5693 8562\n9293 10239\n12984 15528\n8037 15485\n9106 15054\n2643 11636\n8676 11604\n3969 7908\n3037 6465\n11796 13208\n5788 9800\n6587 13879\n11350 15295\n11502 13036\n3857 15038\n559 8808\n3764 17142\n6492 11546\n12257 15684\n663 5625\n4040 10940\n6977 7594\n304 12874\n9792 14320\n3502 17424\n1539 15174\n14075 15490\n13000 13589\n1818 17149\n8799 13521\n5964 15501\n10015 12038\n1936 5559\n4269 11529\n6832 14778\n8285 13569\n1937 6288\n3029 16893\n8719 9105\n193 8628\n14728 15969\n3517 7525\n4685 17210\n6973 13648\n8814 16310\n5554 16365\n6604 14088\n7625 14775\n3481 15717\n4076 10936\n1155 16737\n3869 13683\n2695 12533\n12066 13148\n8518 11877\n11398 17261\n6289 7252\n2937 5784\n7194 8365\n3227 6745\n10301 11764\n1246 14887\n4988 12216\n3386 3799\n6149 17437\n2789 8308\n3804 14796\n4376 10717\n475 11598\n11235 12294\n1123 11925\n9372 11657\n12781 14946\n9847 14505\n9611 13004\n2864 6907\n9588 15268\n13491 13586\n13933 16353\n1258 13178\n1719 9998\n6270 7899\n7590 10611\n279 12715\n2988 16737\n9293 12399\n1870 12719\n10918 16175\n11517 12057\n3467 3611\n14363 15402\n228 1859\n5523 15826\n425 2633\n14491 15038\n11087 13269\n2915 6325\n2348 11508\n3227 11583\n5058 11222\n6704 6970\n14096 16397\n1940 9612\n150 17151\n754 3340\n6050 11627\n7582 10872\n2125 6419\n9937 16658\n3118 14238\n5435 13617\n1631 4311\n10331 10947\n4196 15905\n12946 13554\n10825 17165\n9981 14203\n1908 10433\n232 4740\n3907 15109\n12881 14066\n2953 6517\n62 13647\n11431 11894\n14920 15943\n2613 8398\n14491 16085\n2765 3191\n7914 8607\n5843 8745\n10194 11454\n6364 10727\n515 12804\n305 17006\n2982 10603\n228 14392\n9697 16620\n6409 17017\n1615 12460\n1580 1922\n6266 11132\n10898 17458\n6841 6871\n4604 9248\n9543 10287\n14542 15786\n1581 8344\n1327 2198\n2330 4342\n1455 3621\n8347 11673\n34 12541\n1375 5924\n3974 14141\n7709 10057\n3159 10567\n7792 16203\n7611 17034\n1016 14570\n109 15226\n1466 15483\n6846 7828\n11651 12619\n2530 5434\n4 11243\n10152 13448\n1156 14233\n2264 7048\n174 3017\n222 8350\n5249 7897\n1092 1273\n13032 15027\n507 16330\n9252 14449\n4794 5742\n6818 16740\n10680 16969\n3115 6385\n7364 14412\n9463 12700\n12644 13579\n9122 16507\n6461 7309\n6878 9990\n14183 15347\n1117 9251\n1201 12079\n7898 8089\n8739 9119\n8046 15730\n7094 17371\n10221 11019\n6381 9611\n1259 12880\n4615 14353\n759 6066\n2990 7489\n137 640\n9824 12543\n2418 4114\n8925 9513\n5958 8319\n1008 11237\n14976 16695\n3615 8039\n1171 3829\n6318 7055\n8674 14402\n3704 13239\n2794 6238\n15363 16137\n5217 7621\n8835 16165\n2911 7619\n683 2787\n2297 16290\n5237 10193\n3716 12824\n9572 16307\n3759 5679\n702 14611\n11619 16928\n4410 5510\n4999 9632\n11666 17334\n2525 10672\n3395 6303\n4973 6838\n616 10148\n5540 14514\n811 2134\n6166 17096\n13617 16305\n2926 9650\n11771 11805\n5183 9768\n3952 11131\n8645 15802\n9513 9550\n4288 6923\n5864 10712\n174 14538\n11314 13238\n841 12051\n13106 13494\n2836 11828\n1130 16664\n10954 13720\n7985 12890\n3521 4689\n6439 8914\n13348 14607\n1411 4796\n14225 14566\n2898 6641\n514 6300\n3760 4732\n4115 14255\n5884 8932\n6345 11989\n6935 11074\n5911 9970\n497 5716\n4982 12883\n5693 10815\n26 2042\n15490 16054\n4483 11322\n4872 8184\n14450 17024\n1756 2797\n7932 16436\n3891 8897\n6157 15098\n2114 6963\n3691 9319\n3142 3836\n8758 15131\n4527 14161\n358 15436\n12257 17240\n13292 17054\n483 4357\n3076 10827\n10987 12904\n4661 11043\n4328 6615\n2318 12998\n6702 13884\n1300 13201\n5027 11792\n891 14883\n11534 14474\n839 9691\n9556 14953\n11326 16789\n1875 13437\n260 11702\n4390 14855\n6860 13812\n3469 11513\n5224 16850\n251 10830\n12165 15420\n452 8613\n13403 13448\n10321 11851\n7244 11397\n10744 13873\n945 998\n9364 11505\n16554 17190\n4192 6752\n5748 12459\n5193 11612\n1365 3609\n4288 10408\n2044 2464\n3759 3884\n836 16412\n4334 16689\n3599 11030\n11921 15129\n7948 9328\n6175 10899\n6877 8873\n812 2305\n4586 9575\n14699 16835\n4881 4975\n355 17393\n2529 6534\n7097 16794\n7306 9790\n5570 10391\n7583 10570\n7977 15003\n1096 10887\n6280 16284\n2431 14705\n6425 16570\n7919 16835\n14298 16822\n10525 11096\n3731 16868\n3822 4142\n1385 8232\n8735 10901\n10709 15555\n8558 12650\n3830 6156\n11715 13131\n10021 16080\n2646 16964\n11045 16891\n12397 12938\n6563 10649\n9601 15738\n1134 15898\n8083 8866\n871 7520\n16803 16876\n7621 8135\n4752 7910\n12663 13705\n3129 17336\n2451 13279\n5114 12048\n6523 16812\n9315 15956\n14738 15639\n6429 17103\n5724 15040\n8439 8846\n5191 10207\n2526 4939\n1714 12657\n5980 10997\n706 2418\n390 5324\n1818 4323\n5642 14035\n14686 17447\n10803 14986\n7069 14012\n1248 12319\n4873 12067\n6956 10750\n2111 5060\n7750 17274\n934 16926\n14255 15570\n1563 15416\n1613 16218\n9788 10026\n4835 7679\n2980 9346\n1056 10182\n9968 15684\n6987 8094\n10138 16160\n13170 14614\n16239 17409\n3862 6449\n1209 10964\n840 5176\n3032 15432\n9153 17101\n424 8183\n11311 12420\n1454 14233\n2370 4924\n10044 17402\n5434 12681\n1384 3544\n2171 3394\n1000 4877\n10560 16695\n3041 14786\n7255 13733\n9795 12288\n13950 14829\n658 7766\n7348 11346\n6101 15414\n8173 12846\n96 7255\n12331 12347\n4230 5007\n4663 16312\n12957 17298\n16140 16841\n6311 7548\n5054 14030\n9316 16285\n6456 10103\n8607 10390\n4436 10496\n9612 15473\n10115 10487\n7059 10930\n5958 10365\n7028 7175\n6410 10111\n1479 5882\n3570 13659\n146 7132\n1754 15749\n6359 6874\n5420 5655\n5282 14757\n11253 15651\n6988 12524\n5980 8675\n6138 11257\n1586 11069\n11309 14083\n9092 13806\n4730 13621\n1028 5987\n9575 10243\n11358 17441\n895 14786\n2700 13150\n3206 8914\n4084 15047\n7977 8183\n4640 6924\n9240 16601\n4173 9594\n1149 2904\n3563 5111\n14126 14468\n2078 11044\n2536 4942\n13646 17071\n5732 10342\n8545 9579\n3363 16068\n8482 12308\n6332 14821\n10327 13562\n15182 15509\n9858 12276\n4790 9571\n213 4163\n11025 12317\n8797 14686\n144 3662\n10065 13485\n7342 8270\n1578 10788\n7253 10653\n11991 17001\n9081 14413\n4063 4510\n2784 10465\n4950 5120\n4424 4605\n11113 12177\n4978 11472\n144 1930\n2781 7605\n8066 15180\n8714 15307\n1759 13468\n3083 7837\n2967 6065\n4149 10521\n12597 15441\n6061 11015\n8309 14880\n12782 16128\n8291 10158\n7568 10358\n2684 8263\n6702 11318\n7511 16693\n6248 11937\n4182 15958\n5962 11206\n345 12556\n3682 13897\n1944 5398\n1024 11263\n9702 10603\n4820 15331\n4794 6957\n933 15245\n1347 15955\n10233 11104\n6998 16959\n5879 15940\n3313 6655\n2026 11821\n697 2771\n472 16029\n1105 8906\n2786 15391\n7607 15529\n4714 7077\n10703 11417\n7900 9049\n9472 9902\n11971 14074\n3860 4316\n8342 16944\n6192 11223\n393 17179\n7666 13407\n5878 15245\n10991 16528\n14843 17124\n12644 16098\n2760 3062\n10027 13068\n5058 5843\n2024 10649\n8814 16806\n12782 16736\n10761 16082\n15450 17328\n4604 16538\n7094 12306\n2773 10193\n1111 14338\n8902 10242\n12467 16077\n1823 12065\n7937 13774\n4357 8673\n11759 14183\n1449 10971\n5274 15447\n4811 11463\n968 3298\n10570 12145\n416 9463\n6108 12334\n108 6779\n2145 15021\n7225 13640\n6460 12677\n7587 16879\n2252 16159\n9911 16139\n2079 11673\n6861 11521\n8693 16951\n1107 8398\n1897 9102\n1536 10597\n7660 14627\n9579 9706\n4324 5079\n12578 14496\n1881 4785\n1188 10726\n2239 4644\n8522 10115\n9030 12479\n301 6749\n2300 3189\n10231 11772\n3704 16243\n3207 7938\n1505 2346\n7489 14503\n7118 13177\n105 4647\n10431 15719\n7765 9817\n6031 7079\n1054 14884\n4930 8994\n835 3372\n8045 9336\n6329 7592\n928 9794\n3898 14972\n1716 12478\n2221 15144\n1183 4352\n3639 9457\n12889 15975\n1324 10054\n1504 8464\n1594 16405\n5993 6808\n1935 6739\n5056 12897\n6295 7627\n12352 12383\n82 1436\n1716 10890\n3327 7941\n4486 9884\n4490 12404\n666 12401\n5764 7966\n3806 17261\n9936 17291\n4297 9147\n6710 11269\n448 5346\n6766 9836\n4499 6951\n5603 6447\n896 14636\n656 2173\n16270 17000\n2277 16243\n1155 6773\n14939 16502\n1742 7943\n10307 14673\n309 6628\n2264 15520\n558 1900\n3813 7700\n1351 15909\n6173 17318\n7973 7977\n8424 12967\n2670 6561\n675 13299\n875 1045\n7484 12457\n5376 10530\n7213 10830\n8698 11276\n6833 10840\n752 16476\n14511 14942\n1935 4828\n1606 10461\n12698 14979\n1226 10864\n2477 17158\n4582 8212\n6739 16198\n3980 5610\n9071 12916\n4586 12220\n6843 17431\n16239 16597\n4957 13786\n649 16829\n11999 13743\n11518 16631\n10756 16472\n3056 10943\n3555 6643\n3749 16245\n10539 10733\n4166 5650\n1027 16029\n1524 17101\n25 7760\n3838 13419\n1502 13278\n508 11965\n11627 13298\n4144 5196\n5822 17184\n1048 11417\n3365 17347\n11263 11666\n13618 16031\n1842 12330\n4988 15007\n3997 12417\n2651 7275\n4656 5866\n7617 12904\n2573 8801\n2589 14996\n9186 15288\n1807 3636\n182 3171\n6203 11778\n3039 14196\n7323 15806\n3482 12827\n8957 12238\n11974 16658\n3354 8196\n9482 17400\n11597 15293\n2986 15835\n15220 15232\n12702 13202\n190 12103\n1337 2764\n12786 17067\n11864 15896\n1942 13349\n5058 5741\n357 3208\n1451 9782\n15051 17013\n9524 12734\n5785 8151\n2420 5452\n4386 13583\n3998 9016\n1725 8571\n1070 3330\n3025 13010\n12516 15602\n9142 16266\n4516 10691\n9145 9874\n1621 3109\n7870 14968\n8257 15231\n3357 15960\n12776 16659\n3588 4953\n1911 10753\n13105 13130\n4717 6787\n3787 6198\n1158 14425\n15947 17244\n928 17425\n53 9817\n5310 14281\n3027 12232\n9448 14568\n10475 12087\n10210 16764\n5170 6760\n595 7209\n8250 15003\n14034 14254\n3207 13010\n281 11427\n3595 4827\n1923 10120\n12240 14793\n868 3240\n7686 14650\n7832 13234\n10550 16825\n6974 10724\n12920 16265\n1775 13965\n4155 16961\n5535 10013\n517 13334\n10031 12126\n1482 9428\n161 14894\n5032 12913\n2741 13019\n1244 2238\n16280 16809\n3340 13010\n7262 11198\n2486 10786\n4128 7529\n11514 13578\n2243 7241\n10510 13797\n10196 10312\n10467 11483\n2914 16294\n3891 9529\n6288 16100\n2062 6359\n5532 14720\n6412 7339\n7605 14432\n6423 13773\n12313 14351\n8299 17315\n10923 14535\n6585 17137\n1089 14126\n10290 14334\n4817 17046\n2372 2736\n14447 16619\n1017 7604\n2494 12592\n7556 11930\n6005 11248\n8770 10143\n1706 3321\n943 5364\n4939 9558\n4669 10204\n5243 8486\n4356 15838\n5006 8951\n4223 15579\n6936 14819\n7468 12225\n5880 8288\n6935 9009\n4021 8775\n8110 15049\n641 4342\n3912 7184\n14049 14269\n1411 10969\n1529 6167\n7722 10523\n3984 11620\n10821 17103\n2571 14499\n3029 10431\n5746 5803\n6474 10523\n3283 11557\n9153 14621\n1832 6285\n3738 8268\n11003 13228\n10947 15629\n15278 15342\n242 7461\n434 16788\n2268 16106\n3759 11913\n14225 16564\n8634 15245\n12647 15443\n7027 8382\n8822 12770\n3445 16827\n5674 7739\n12097 14849\n5044 11921\n11962 12875\n354 14329\n3471 11548\n3271 5268\n7176 13988\n264 12523\n5070 5476\n12952 17060\n10120 13930\n5551 15882\n5522 11853\n7459 15718\n2972 17226\n7118 11313\n9329 12067\n12564 16777\n14114 17157\n6950 13354\n10176 12410\n3514 7691\n3114 3178\n523 4751\n5055 7502\n12636 16280\n558 12501\n4670 14675\n5414 14435\n9542 10610\n4488 14724\n4467 11817\n8373 17408\n3319 5238\n3907 6054\n1524 2445\n1584 4779\n5570 13593\n5324 6263\n4293 6100\n213 12070\n1985 8097\n4766 6917\n2118 6084\n2661 4643\n4011 15385\n190 4908\n7161 15830\n2170 4398\n4607 17260\n6028 10804\n2784 3541\n3461 3565\n6202 13574\n6369 16446\n4944 11793\n7464 14062\n3053 6276\n7069 15345\n1934 15473\n10756 15000\n3299 15192\n5335 15934\n9498 14999\n13821 17270\n9636 13005\n8581 11231\n3780 12224\n3610 7223\n4819 15694\n3725 16387\n1010 15833\n622 12523\n6898 10829\n13134 16316\n7938 8834\n4694 12150\n6016 16450\n371 3035\n15254 16917\n7537 13853\n1456 7003\n3706 12053\n7206 14971\n9673 15044\n846 15767\n1740 10784\n6287 7105\n890 4276\n1761 10959\n570 5265\n8433 9222\n2676 7202\n8469 14115\n4963 8346\n5247 7091\n5383 11907\n11792 15106\n9974 17041\n2399 12224\n1444 9272\n1796 12748\n7556 15258\n6415 7792\n5287 10070\n4704 10357\n1085 7495\n2862 4860\n8216 11860\n489 5172\n3207 4774\n2652 11358\n15283 16344\n14997 15048\n11041 13650\n14557 16186\n1194 11165\n6748 12850\n109 14418\n710 2129\n4515 14226\n4851 11693\n2407 3814\n5766 13826\n2447 11089\n1905 9280\n20 439\n1742 10370\n630 7559\n10901 12347\n1569 9924\n10906 14953\n14650 15695\n7873 16127\n5120 6863\n8049 15575\n6275 16958\n8446 11331\n12646 16979\n11819 16574\n8800 16033\n5538 16201\n2398 15273\n1755 9357\n14286 15373\n5047 8745\n11541 17334\n6108 9315\n6376 7922\n2255 6943\n13109 13143\n3948 13404\n6106 11431\n2602 10325\n1753 16176\n2799 7612\n1893 3705\n7320 17275\n9613 14679\n9912 16001\n911 14262\n7016 7977\n3621 4178\n2079 7489\n6262 9850\n6683 9900\n10344 16619\n7786 9715\n15053 15069\n10026 15983\n3479 8224\n11429 16213\n10061 12284\n9965 10016\n10845 12172\n367 11302\n16454 17124\n6583 12575\n15964 17305\n13479 14076\n11611 15039\n3215 13276\n8451 15134\n309 6331\n10377 12888\n2553 6369\n1964 11685\n1224 6785\n2222 2741\n4161 16745\n7030 10759\n11293 11537\n765 2686\n7865 12826\n3910 14689\n649 13269\n9148 17264\n628 13736\n598 17359\n1673 3783\n546 16089\n5568 15271\n3590 9474\n3925 13340\n13655 15786\n7141 10473\n1217 9840\n476 13607\n10386 14860\n6529 9207\n11602 13534\n5881 16156\n9700 15964\n6950 15997\n11476 11800\n2496 10266\n13430 14987\n8580 9433\n10589 12334\n7715 16673\n899 10283\n14994 16516\n9721 16314\n14684 15794\n5103 9816\n3829 6738\n10018 16596\n11088 13808\n6255 15883\n3927 12714\n5487 6059\n9896 16176\n9579 9893\n2582 4597\n2864 9641\n1094 8012\n8599 9132\n3111 9593\n11616 12884\n823 3344\n2149 14176\n3153 14385\n2916 3324\n8471 10069\n554 3361\n2278 2344\n1974 8493\n4322 11863\n796 17387\n6232 15752\n242 10034\n7968 10056\n6509 13252\n4481 5200\n7414 12371\n10505 11780\n14733 16770\n385 2388\n3394 10794\n4311 9697\n7287 9168\n3879 11610\n1886 3755\n9474 16531\n2157 4993\n6709 16545\n697 3547\n7322 9751\n8631 14364\n6837 12581\n7404 13960\n9022 9272\n11347 11699\n2044 8872\n8198 13449\n4834 10534\n5611 11232\n3377 14524\n3359 7756\n4240 17287\n2269 13960\n12343 13511\n1817 4197\n4227 14581\n8393 14657\n11813 15028\n8829 14515\n204 12646\n5030 6356\n4697 13561\n2080 11594\n15220 16641\n7872 10219\n14370 14592\n2825 3346\n294 4838\n15735 16909\n6063 13373\n4073 12462\n10805 12843\n2579 11944\n7984 11656\n3007 8381\n1039 7647\n1016 7075\n1101 2413\n9089 10375\n12489 15575\n739 6842\n4291 14306\n5192 13394\n1300 3164\n8059 8267\n10385 11851\n6162 12928\n3884 9163\n750 4464\n621 16525\n2324 5109\n1744 14418\n1043 15926\n9367 13271\n1378 2225\n680 8378\n3495 4838\n1613 17184\n3104 13807\n1753 12376\n12364 16458\n5784 6012\n1435 13136\n112 10556\n5937 10292\n11450 12360\n3935 6394\n1746 16086\n1938 2482\n3556 8090\n4771 14791\n4931 15429\n2815 11016\n6236 12477\n8699 15141\n5096 9206\n2109 17032\n1546 3025\n12538 16911\n10084 14913\n13657 14314\n2462 3930\n1783 8031\n1410 11553\n8934 14439\n2561 15403\n4591 16325\n2642 4534\n340 6762\n2595 3453\n4908 8208\n1822 9386\n3942 4794\n738 3179\n4744 7598\n12335 14531\n11278 15641\n461 15023\n3165 5149\n611 15342\n4648 14162\n4942 5233\n15105 16143\n8783 8896\n5537 6470\n8127 10909\n16533 17012\n129 4534\n10160 16041\n12021 12253\n7048 17434\n5221 13165\n2593 14460\n6175 11996\n10647 12594\n2467 12896\n13048 15933\n6584 14895\n12180 16179\n7328 17056\n12583 12888\n3433 4521\n7715 10548\n4951 17166\n1784 12313\n2108 8695\n933 3050\n2513 8636\n7662 10707\n15052 15412\n7695 8060\n4214 6174\n10172 10348\n579 3724\n9107 11700\n2769 13576\n1076 13529\n8620 15201\n349 13674\n7907 17185\n6534 8217\n13285 15087\n3968 13614\n3392 9368\n4042 8838\n5527 16307\n8844 12792\n6050 9608\n1324 4256\n1200 11922\n1841 10870\n3988 4834\n1979 12046\n5809 7620\n3185 11806\n9548 12609\n3877 16952\n2890 9667\n6361 10925\n53 559\n8692 14853\n1173 6576\n4134 12383\n7095 10390\n3227 11426\n12359 14577\n3013 15633\n5199 10017\n2868 17028\n7755 12868\n11265 16549\n2351 16187\n7854 10976\n7333 16589\n2980 7629\n5690 16357\n4134 5192\n7059 7125\n165 12191\n5129 6137\n7475 8100\n2639 9628\n12898 16039\n3263 8037\n2671 3576\n7613 12301\n732 743\n8183 13961\n10591 14864\n11478 13633\n2517 10173\n916 1436\n3429 4276\n3134 13998\n977 11675\n5648 12123\n1142 14454\n6974 7372\n9858 13036\n5648 8293\n10584 14420\n2188 8839\n51 15046\n6366 14580\n8263 15275\n11314 16333\n6568 17446\n5137 16599\n3452 14392\n621 4174\n3209 4412\n14791 15695\n13451 14215\n699 1004\n2416 10887\n2729 8035\n9389 13553\n3693 11369\n2732 10937\n11034 14593\n3175 8045\n10741 15115\n3399 12455\n2542 5803\n3 5355\n3821 3855\n4524 10325\n7025 9927\n3679 7332\n11031 12346\n8389 15212\n590 16301\n1405 14965\n10250 14758\n5305 15133\n15592 17050\n11405 11495\n6778 11938\n5945 11288\n7966 11266\n1643 16601\n4133 12521\n3425 8897\n3324 4777\n8862 14798\n468 9558\n13697 16149\n3395 16497\n5021 7432\n4611 10578\n8241 12003\n1471 4316\n3701 3778\n2405 13337\n7527 8544\n3269 16726\n4838 12354\n468 5530\n3179 12438\n11917 13734\n213 1694\n6202 11025\n84 12877\n10930 14802\n8389 9488\n9695 16653\n1720 16487\n8099 15788\n39 9629\n11796 13595\n12242 14551\n10117 13492\n2477 13010\n55 11484\n16224 16353\n3330 13620\n10808 14445\n757 5486\n638 5032\n6362 11920\n8642 10719\n5898 15121\n2039 3732\n5632 14898\n1181 8097\n2650 6250\n2388 5080\n11836 15722\n16443 16470\n1219 16197\n2014 9183\n7772 13070\n7028 16552\n5323 17389\n2508 11242\n5209 5524\n5363 12841\n7384 10454\n5570 16801\n8841 11517\n1718 10011\n4276 7366\n2267 9769\n7220 17213\n10607 13334\n2884 11973\n2619 17418\n2187 9128\n6257 11352\n1574 16208\n4328 17443\n6274 13435\n8140 13135\n4528 12307\n5831 11247\n10170 10251\n14206 16266\n6208 8930\n2794 16242\n3180 9204\n5142 7239\n12529 17334\n14411 14896\n5629 16666\n629 13749\n8363 9994\n9438 10376\n2064 13224\n749 1628\n806 12910\n68 11551\n4636 10525\n2851 9878\n8700 9559\n8876 16761\n6333 17229\n15699 15715\n4065 14258\n5028 7441\n2253 4444\n470 13554\n2009 11329\n5205 17346\n11040 12804\n581 13520\n908 16227\n16362 16406\n3737 5263\n2653 14127\n11565 13478\n12210 13334\n1263 17064\n9325 16704\n844 11142\n4686 15183\n7822 13973\n3529 8191\n4649 17208\n12261 15154\n7607 12526\n2479 12107\n5888 15117\n326 6559\n794 16427\n917 6033\n10364 11233\n8207 11873\n7973 15212\n7860 12991\n11007 13670\n8362 17042\n1643 5438\n102 7235\n514 2782\n121 2861\n373 8508\n6330 13514\n10397 12534\n1478 5705\n1877 10268\n1280 13503\n12834 17120\n4504 5216\n2673 11415\n9162 12451\n7289 8961\n2459 4221\n9800 11613\n1330 1379\n2454 13886\n6962 16387\n2227 8122\n1630 16814\n3847 8869\n16575 16600\n9885 16069\n1696 15462\n555 14498\n6873 8958\n1321 2530\n4304 13767\n937 3559\n10162 11092\n2636 2938\n3404 3764\n2566 16564\n4476 17213\n8477 10366\n10682 16325\n1326 10252\n3151 5101\n1025 9247\n2707 5920\n10680 11699\n4390 9359\n9180 13021\n4529 13164\n7106 13873\n1 12111\n12423 15303\n6166 15373\n1814 7428\n111 254\n305 4226\n1482 14975\n101 16079\n7255 8616\n5508 16864\n7680 15705\n9068 14866\n7065 13602\n4084 5831\n279 6944\n14330 16206\n12469 14048\n3188 10787\n833 10215\n5989 10788\n7959 16976\n2837 3503\n9727 10729\n3279 6565\n9266 10586\n6653 10017\n7008 11202\n13330 16435\n7892 16320\n13593 17192\n688 4702\n15076 15325\n1895 11411\n9903 12201\n7248 12810\n5795 6878\n10548 10737\n7665 7797\n1354 5858\n16334 16422\n9854 15473\n12959 12964\n1153 10575\n9401 15165\n4578 5848\n4300 5176\n229 9262\n759 16593\n8672 10273\n8920 15505\n15756 16957\n6556 15866\n10408 11936\n1600 12958\n709 843\n1903 3021\n2287 9738\n229 5791\n2480 6342\n3853 14841\n7624 12449\n10084 13095\n4487 8084\n11987 17449\n3913 13186\n7136 12323\n6418 15627\n4132 16690\n1259 11509\n967 12925\n7379 14879\n385 2627\n2981 17190\n782 12870\n6209 7367\n11611 14428\n16428 17296\n12373 14614\n14315 15963\n4910 15130\n5820 16749\n6803 15952\n8379 11766\n1109 12798\n1645 3774\n4474 5254\n1484 3143\n8720 10803\n3338 11370\n9280 14221\n1485 10391\n10140 13628\n9693 13912\n2774 6128\n8147 9579\n5909 8493\n5244 12748\n5085 15003\n8451 10869\n11306 12986\n8073 12300\n3597 15079\n8051 12585\n8056 17455\n1219 7032\n4660 7091\n2958 17239\n2667 9681\n1224 10966\n8917 14171\n10880 13246\n4384 14604\n15359 16917\n3616 3911\n12140 16415\n13315 14232\n5864 8062\n5826 7887\n4115 10006\n12410 14778\n15509 15958\n14061 16052\n915 8702\n11075 14224\n4878 15825\n6515 16335\n514 4447\n564 1570\n1968 15377\n14105 16407\n4727 10083\n9525 14604\n6518 14925\n4343 14756\n11458 11941\n6785 16846\n5997 8949\n1274 3927\n8130 15006\n3236 12360\n5350 9588\n420 15803\n10555 14423\n3514 5020\n7148 10886\n3273 11217\n10504 11071\n8305 11170\n4972 13550\n328 6819\n10005 13753\n11732 15755\n3182 8557\n2254 12250\n7212 7861\n1277 5845\n13075 13750\n1269 13470\n928 14814\n13163 14256\n5447 8079\n2310 17356\n12211 12781\n13799 17436\n6686 14131\n1108 4486\n9323 17238\n10552 14060\n7786 16384\n10157 12877\n5286 12497\n7799 13279\n2363 10229\n2591 10051\n7921 13310\n7008 7491\n4598 9897\n223 5199\n15648 16267\n4090 12682\n302 12392\n1809 3620\n8562 11706\n7204 10165\n8323 13971\n8602 14538\n5144 6768\n3441 13259\n13343 17003\n11266 11687\n7196 8573\n14691 16176\n6987 13535\n815 17135\n11674 13772\n2928 12185\n16900 16968\n3135 7403\n451 11890\n5933 8962\n4194 6101\n5885 15194\n8485 17404\n4619 7774\n3157 5858\n8338 14430\n806 12425\n634 12803\n11178 15415\n12320 13275\n3756 14824\n1922 14716\n2894 14707\n4674 13666\n8670 15354\n2023 15202\n1344 13727\n5369 8762\n10337 12389\n8799 17402\n218 8642\n15281 16833\n3548 8939\n12281 13450\n4680 6166\n596 3643\n4966 8937\n9615 9762\n1401 2499\n16849 16937\n8766 16947\n2817 13596\n943 15088\n6328 17176\n7465 8389\n4185 14465\n1900 10808\n303 13864\n5974 11893\n1196 16489\n837 13071\n3292 12554\n2557 4851\n3589 14486\n11673 13570\n1218 3248\n5775 16589\n6640 13819\n6838 12793\n1782 4210\n12969 15765\n10234 10791\n1050 1408\n1173 7026\n137 2261\n2367 10042\n4388 12988\n11 13656\n4221 5841\n8394 9688\n15362 17181\n2705 14999\n8389 9295\n866 15362\n6593 7607\n13751 13778\n4474 5486\n9615 11013\n11472 12383\n3785 13049\n15547 16487\n14685 14907\n6390 8212\n6874 9851\n6885 13035\n6208 16460\n13056 16895\n2644 4524\n2152 11733\n2448 6949\n1411 16658\n5182 7922\n10465 12175\n5896 9631\n4794 12022\n1484 9327\n787 1054\n4134 8396\n11627 11887\n2104 3050\n13648 13868\n7777 8286\n5494 8039\n7917 13826\n14242 15207\n722 6595\n820 11527\n174 15075\n5231 7006\n2860 8498\n6418 14296\n2682 8330\n7602 12325\n7620 15799\n1605 15897\n15567 16656\n6178 6905\n2000 4170\n1838 4731\n10180 16200\n13834 14030\n13456 14085\n8106 10639\n7384 12968\n15018 15415\n347 16786\n2687 9384\n3905 10679\n5429 13173\n2382 11512\n13608 17006\n8516 10611\n2610 5526\n17178 17323\n26 187\n1533 7073\n5485 9832\n742 10387\n335 14535\n4511 15538\n5002 8256\n532 5871\n2121 6461\n1315 10958\n3647 4913\n5126 16648\n5215 17058\n7779 15140\n7774 10862\n10380 16162\n78 6781\n1892 6242\n2176 4686\n4002 11493\n5620 14991\n5260 11095\n6891 14527\n4571 9159\n10649 11923\n2657 4251\n7170 16813\n16357 16608\n8445 12492\n11640 13149\n5974 10756\n21 15226\n6014 10526\n5839 6206\n10005 16009\n4780 17455\n6545 10014\n1690 14571\n5572 7303\n15821 15981\n13492 16196\n1105 13645\n8660 15242\n13444 15703\n5419 10072\n162 200\n662 7871\n9710 15255\n2884 14266\n7231 12092\n2482 10665\n1805 13515\n5739 7958\n5751 10434\n4893 11364\n1510 3080\n6909 13393\n13586 15692\n1418 2971\n5652 11685\n12352 16524\n3076 14425\n5073 10582\n8264 15736\n3832 10480\n5915 10037\n6621 10470\n7953 11107\n1541 5821\n12574 14031\n12249 17072\n8208 13335\n10050 12526\n4595 6208\n6819 9027\n837 10690\n3228 16302\n13224 15804\n3625 4803\n1561 7941\n9146 15911\n8126 13065\n7873 11168\n12311 15649\n1755 11974\n12547 14088\n3348 6114\n3537 11160\n5607 8726\n3558 7796\n626 3855\n11740 15446\n2085 9495\n2928 14177\n13718 14857\n10134 15189\n8725 13370\n6295 16739\n8147 8255\n6311 10562\n5188 14357\n952 14560\n13368 16013\n1468 9596\n9271 17304\n9740 14411\n2200 13390\n2159 14604\n839 2309\n4631 7099\n6849 8696\n623 13011\n6996 17000\n8478 12774\n430 13966\n5115 15157\n8498 12604\n11067 17410\n7142 9901\n13277 14772\n15048 17166\n945 1893\n4216 7462\n10874 12510\n14966 17013\n15654 16730\n11689 13048\n7199 15532\n3921 16217\n378 4507\n7672 15113\n857 2552\n2766 8291\n734 6320\n278 15711\n6136 7596\n9956 10198\n1127 7920\n15458 16457\n204 11767\n5016 13768\n8055 11702\n291 4609\n6665 14311\n1961 8780\n2960 15923\n3465 13180\n1440 10408\n3636 7035\n10115 13479\n12117 14855\n1919 9720\n1003 3880\n9972 14307\n1394 11798\n4578 10750\n6123 10225\n8048 12411\n8152 10080\n11009 11165\n258 1734\n584 16349\n1 11545\n7180 15842\n1599 12668\n5969 14733\n3487 17077\n212 13039\n332 16777\n7488 15661\n7018 8480\n15498 16552\n9125 13332\n5064 10180\n5013 13818\n119 3950\n13337 16243\n4937 12299\n727 5545\n12977 13398\n5988 15297\n10063 14985\n2282 12371\n2977 11258\n10603 14091\n14350 14760\n8266 16977\n8385 10290\n3319 12713\n6911 8422\n11763 17179\n8259 10584\n1164 6549\n4950 5203\n5293 16159\n4375 7378\n8997 16678\n1751 10211\n6282 8657\n1829 16953\n8108 11333\n4278 5892\n1890 3519\n1993 12531\n6818 16474\n15704 15972\n71 14574\n5677 11030\n1888 11495\n8149 10390\n993 17096\n3903 11156\n6100 11241\n14513 15896\n8440 14661\n8960 10662\n4780 7583\n1333 6425\n9934 16631\n4944 10198\n9028 11259\n2023 11847\n415 7180\n2644 13610\n8347 8740\n9112 9221\n1619 8738\n175 3399\n1503 9920\n13872 16990\n9095 14327\n4535 9349\n3495 4616\n1064 16272\n8212 15032\n2085 11521\n4482 7198\n192 5610\n2239 2783\n4243 7609\n4965 9277\n6584 7684\n5144 11050\n408 10141\n923 10100\n13709 14517\n10295 13578\n3764 7990\n121 6511\n4712 5005\n4044 11010\n11328 12217\n3216 7172\n6588 11065\n6457 12989\n5130 12097\n2952 12126\n6917 10011\n12696 12984\n2106 6887\n9869 12038\n13397 13612\n836 13047\n3969 11870\n9230 12731\n703 2212\n4461 9248\n6291 7170\n16730 17066\n5386 14725\n1104 4785\n10577 16084\n611 15050\n10860 16659\n6656 16383\n209 4579\n3568 12418\n7585 9825\n1499 14943\n6206 15640\n732 3713\n1884 3606\n4399 10740\n5242 8552\n1629 3947\n464 13483\n8594 11496\n5666 12128\n10438 10589\n1681 4340\n2684 14970\n12594 16645\n1026 6886\n3529 16505\n13075 13881\n7306 9864\n10262 17457\n7183 8171\n13010 13200\n298 2851\n380 3877\n3106 15650\n9644 12685\n10998 16686\n11981 14756\n14824 17431\n4261 6131\n10373 16162\n3603 13351\n14415 16422\n10926 15795\n2533 16447\n6098 10313\n5778 12894\n5643 6524\n4527 17155\n5279 11504\n8681 14300\n647 8981\n14119 17451\n10610 17003\n6088 13447\n5339 12925\n16099 17133\n1628 8300\n3016 14770\n6155 14855\n396 2833\n7799 11703\n5872 11912\n11513 13888\n6876 12695\n2891 3205\n5314 6126\n9845 12290\n11575 13278\n3002 14538\n897 4560\n12177 14699\n5149 17442\n9476 13629\n6320 13966\n12309 16643\n9683 16175\n8243 16084\n3204 11182\n5027 6656\n4794 8274\n3007 5965\n3954 5312\n1389 2289\n7666 8896\n14520 15661\n5345 8278\n759 2270\n9560 14372\n9976 15881\n16220 16271\n11015 12032\n5992 12950\n6261 16457\n16429 16979\n2413 7437\n9808 15975\n140 2560\n11362 16815\n1868 9847\n11117 16245\n11252 13523\n2115 11201\n5012 12063\n6937 10874\n326 12412\n2615 17099\n2252 7536\n2068 3981\n5173 9372\n4716 6656\n5628 12555\n3166 5511\n6717 9709\n2194 3951\n5161 15574\n2843 16065\n5898 15554\n5525 16141\n11537 12281\n14407 14641\n753 11051\n10784 16843\n13603 14477\n6780 14250\n2401 15475\n2904 13355\n15692 16728\n12579 15352\n570 16498\n2053 3494\n6812 13570\n4078 7033\n11542 13339\n13685 13882\n3025 11886\n7554 16767\n632 7008\n11436 13374\n5844 16305\n4696 8769\n7419 13550\n8742 12755\n6727 12859\n673 9090\n4803 12887\n3880 14577\n13035 16666\n2341 2669\n1625 14115\n8467 16670\n2953 12005\n1655 13911\n5482 15052\n6597 15227\n6142 13226\n1509 5701\n3267 15979\n2125 4870\n10864 12985\n11681 13244\n13075 15378\n2496 2719\n12287 17045\n105 15288\n9407 15479\n1170 9778\n1691 3174\n5613 8931\n1442 11316\n1496 11497\n8500 10862\n9563 9885\n1651 17421\n1662 9401\n10115 11102\n12256 12990\n4217 17175\n12971 16705\n3723 12181\n5904 15140\n4577 5664\n3092 13851\n1168 4290\n944 16422\n2448 11894\n2450 16049\n6922 15172\n4093 8100\n5961 10410\n2613 13198\n2427 16084\n11381 15796\n3964 8978\n4629 5392\n4591 11852\n2799 9723\n6957 9774\n6551 8792\n6860 17369\n7817 12377\n6250 6570\n514 9361\n2183 11013\n966 5069\n4660 16700\n13815 16073\n14453 17217\n2763 14988\n7474 15216\n8502 12508\n2233 16408\n7775 17181\n496 13287\n1937 2739\n9024 9867\n794 11605\n1186 3049\n2724 12090\n1802 7291\n1430 16086\n6915 13548\n12331 17026\n233 3261\n5235 14030\n4986 5534\n7009 11310\n11431 16575\n6577 6652\n6125 17015\n1728 7648\n6337 15245\n820 9467\n8691 11555\n4027 13233\n2 8339\n6701 8163\n84 1911\n16458 17155\n2321 5438\n5850 13873\n1631 11811\n6608 12652\n741 11879\n13961 17230\n2357 14112\n13190 13695\n6979 8916\n8556 10377\n2443 15163\n13628 14328\n5189 14379\n7454 10669\n5317 10087\n6767 15952\n3759 7437\n9803 12945\n4618 10498\n2518 11806\n5894 14893\n2187 8206\n11390 12205\n3451 6321\n1570 16600\n964 7830\n4722 5750\n2397 9868\n5878 11903\n13187 13301\n6887 10056\n11696 15065\n5287 15405\n10538 12401\n36 1732\n3799 8883\n12224 16262\n4291 5539\n9506 13479\n10652 15378\n1432 6170\n10014 16161\n8599 10195\n4691 13246\n11646 12113\n14524 14750\n1705 8548\n6510 7855\n1673 10579\n10421 14281\n7064 7333\n4188 12404\n4295 14284\n14468 16343\n3989 4133\n15121 17081\n14857 15121\n6078 16400\n12072 17357\n6909 15915\n1994 12501\n6442 8576\n2557 8545\n2415 11715\n9049 13352\n1041 12782\n8030 13446\n11934 15016\n5835 11960\n5316 8893\n1373 4505\n3992 8515\n4764 13455\n3915 4016\n2866 4773\n12787 13824\n12607 14288\n3356 15891\n4358 14922\n15940 16451\n648 10007\n10149 16928\n10466 12175\n2271 11926\n694 15436\n6574 14432\n2101 16538\n5872 10310\n5495 7213\n11647 11778\n5883 8165\n6957 14612\n1621 2803\n3214 13391\n15562 15725\n7694 13506\n7359 10576\n1698 6740\n14798 16875\n2731 12213\n709 10585\n3268 11174\n1359 8787\n7003 8653\n4458 15753\n291 552\n26 4309\n820 1150\n6345 17326\n10748 17048\n1505 2229\n14666 14888\n9405 12247\n4412 5933\n5266 17348\n2942 12457\n108 4530\n5779 12761\n5642 7166\n4474 13190\n8704 15709\n2414 16961\n8346 14269\n10631 16483\n793 12660\n3570 7648\n5852 13850\n10517 13802\n171 12833\n3052 14990\n1317 12361\n1460 12412\n9121 11509\n4363 15819\n1230 8082\n8604 8948\n9182 13200\n5869 9384\n6916 10310\n1795 16207\n9128 13439\n5173 5472\n5640 12255\n559 16856\n960 3656\n8184 9928\n1037 15325\n1075 8417\n5448 14708\n11506 15398\n11459 11999\n9731 11856\n1977 3962\n1367 10908\n14916 17456\n3894 8812\n7987 16487\n3762 12199\n13742 15122\n3090 15492\n7053 12744\n6890 14773\n7158 12616\n6126 15792\n927 10610\n5852 7753\n304 5249\n6275 11782\n10480 15027\n289 4343\n10708 10751\n7435 15049\n3336 5385\n588 3062\n8296 15084\n1179 10568\n12177 15512\n2482 15552\n11304 11492\n737 12470\n7361 12784\n3477 3961\n9096 14164\n11788 15710\n4569 10508\n9685 10018\n8017 10016\n3 7410\n3712 7151\n8872 12964\n6472 11471\n4096 8247\n7594 10335\n6822 16416\n12845 15767\n10592 15494\n13578 14641\n2753 9770\n3360 5170\n13697 16138\n5210 7604\n8795 9728\n611 8224\n3263 16425\n8309 11791\n8329 10136\n9470 16466\n6495 15024\n624 1335\n6274 12281\n3906 3973\n6250 16586\n202 1328\n6848 17045\n6243 17061\n11497 12064\n13251 17389\n894 2240\n1117 12828\n2441 12376\n9533 16243\n3818 7813\n1030 12419\n937 11732\n14190 15348\n17020 17347\n5700 7250\n4070 6095\n6340 16917\n4774 6244\n4100 11594\n15256 16318\n1155 14567\n4573 12786\n10306 15212\n3414 12966\n12961 16935\n12434 15514\n5614 10221\n7945 15144\n7500 9566\n1239 10576\n2016 12540\n3484 3808\n5841 14359\n1399 13046\n2338 6416\n5592 13351\n2161 4181\n11675 14401\n13938 16023\n2105 10633\n1361 16382\n1056 3655\n1349 1749\n2402 12497\n4172 4409\n5482 10688\n7065 9058\n2010 3342\n9656 11792\n4480 16067\n1887 9266\n2406 12137\n2637 10977\n8524 9787\n4301 6461\n4803 14407\n4304 7497\n7783 12257\n1273 11301\n1919 10138\n5810 15798\n7067 15054\n756 11369\n17246 17453\n1142 1736\n1833 12165\n1446 2531\n2465 9888\n687 15038\n4067 16865\n3325 11338\n1777 9433\n7428 14911\n8567 12155\n1654 11630\n13792 14879\n14136 16198\n3184 12365\n8103 11759\n7867 13527\n7081 10628\n11341 16362\n10552 12156\n871 2686\n3315 16130\n5699 14320\n9397 16837\n12345 13881\n11436 14770\n11910 16353\n11929 12064\n4945 9722\n7875 11276\n3139 13704\n3577 9041\n1183 9065\n6459 15070\n11462 15650\n4979 6003\n850 5266\n2648 8509\n34 6936\n5102 16026\n5518 7718\n3806 6410\n7248 7931\n3023 16098\n8380 14836\n8986 13825\n3665 9183\n4309 10130\n1437 9636\n4920 15820\n323 12870\n9873 12579\n11119 16908\n7298 14140\n542 8599\n3030 15649\n109 14688\n9447 10615\n1295 12082\n4023 6049\n6071 7238\n7180 14741\n7129 11661\n7919 14214\n8345 9298\n5471 15003\n3740 7780\n4409 5069\n10869 13494\n327 2765\n2251 13391\n3053 15267\n788 14335\n2454 11266\n10906 16765\n283 7336\n5687 10815\n15147 15999\n10088 17212\n2559 9268\n5001 16899\n633 3035\n7910 10481\n2392 17378\n430 5434\n5493 7869\n841 6111\n2187 17371\n3546 13265\n14133 17209\n1446 9696\n6552 14986\n1180 2978\n12790 15322\n13468 15565\n16360 16377\n1150 4369\n2636 6022\n5884 8818\n6506 8816\n7671 17254\n5779 13069\n9706 12565\n10336 13721\n6960 13838\n506 12165\n1414 4643\n9992 10953\n12433 15852\n10306 12611\n14634 15347\n917 12961\n2448 10746\n2186 14916\n569 14374\n3988 13071\n1877 8966\n2891 6084\n67 6200\n3065 9531\n1821 3229\n3683 17259\n11453 13364\n1519 14113\n11330 12877\n3192 3550\n7838 16398\n10465 14507\n8968 17276\n12465 14824\n12552 16542\n15426 16833\n6238 8034\n3672 8367\n69 16322\n45 931\n1623 1849\n8378 9389\n8409 9459\n4538 7146\n9129 11905\n176 15430\n5187 7379\n10388 14357\n14092 14512\n13543 15524\n2037 3930\n3750 14790\n1896 12043\n8890 15179\n10189 17458\n5426 13100\n3204 10511\n4154 14861\n2670 6448\n9536 16016\n283 16889\n1124 9155\n2046 3607\n6906 10126\n1910 7373\n7695 15519\n1608 11439\n784 16405\n3105 10241\n1196 5595\n962 6078\n647 13987\n9270 10262\n388 15117\n5922 9151\n3550 11439\n4485 8554\n9817 14498\n10852 11965\n9358 14544\n2453 13533\n3276 12086\n1560 8289\n3248 11174\n3706 9871\n8783 9581\n3009 7193\n8182 15484\n2005 12538\n8238 9476\n10068 11004\n476 5891\n6995 10937\n6186 7175\n9339 13559\n14906 15661\n6441 11699\n5689 13134\n7491 16213\n4285 13256\n3846 9493\n4224 13816\n12215 16787\n12366 17200\n10928 15028\n3475 14782\n11145 14639\n11855 14167\n10679 17314\n11611 12261\n6836 12474\n3163 3360\n3646 5373\n4045 5282\n6810 11902\n8507 15393\n8693 15544\n12053 15166\n7400 8998\n1961 12688\n12128 14903\n9832 15144\n3030 6552\n8891 9730\n5224 8707\n7374 12522\n3232 7522\n5506 17236\n255 14108\n7877 16928\n2419 9766\n1996 8537\n375 3562\n3025 3894\n236 13344\n2927 17419\n5557 13482\n412 6920\n9048 10582\n3232 6147\n3218 16066\n2848 8283\n14859 15217\n2862 11749\n3883 5178\n3229 12871\n6661 14460\n4139 4747\n9399 16544\n3498 4576\n6306 9134\n2452 15011\n186 4773\n14722 16437\n5974 12205\n1965 12156\n306 12460\n642 4653\n7320 10049\n13622 16123\n1947 11230\n386 2580\n6873 12372\n7833 14201\n6053 16696\n1680 9262\n7401 10480\n1482 1513\n5311 14201\n2846 15646\n985 3972\n1513 13058\n1345 15486\n9057 10559\n12360 13647\n10673 16450\n1358 15397\n11489 13927\n4967 8946\n4214 12029\n3232 16906\n3413 16452\n8526 8632\n1063 8610\n1037 13463\n3073 3719\n2625 8776\n188 14157\n5027 14252\n5129 14454\n5013 11141\n15024 17015\n3475 10787\n11459 15981\n1363 6360\n4310 12555\n9122 16060\n2397 9264\n736 12275\n14598 14630\n5891 9994\n12549 14513\n12503 15322\n5332 14078\n4151 16465\n4920 5176\n1177 5858\n15199 15682\n4291 9074\n9681 16076\n8328 9297\n9280 10543\n5734 13208\n1019 1530\n11540 15212\n692 4954\n3641 5448\n11059 11076\n7927 17055\n5094 5466\n11562 12675\n2627 11963\n9481 10564\n2396 5745\n14509 15513\n2299 15809\n252 4712\n236 4457\n1519 14703\n8151 14711\n11466 12100\n2073 16175\n2430 5727\n3615 14135\n6852 8099\n14086 14322\n8004 11173\n9631 14745\n6146 15640\n151 11934\n11464 13107\n3108 4108\n11167 13375\n9372 12867\n3604 7536\n2750 3449\n1515 16039\n10123 17314\n13263 16738\n5549 7666\n8227 11041\n2998 16246\n11539 14450\n6498 12253\n2494 12780\n7961 15099\n6597 8923\n5410 16082\n638 14802\n2343 11822\n10652 15637\n1218 4260\n6881 12147\n12872 17163\n15178 17269\n6139 6523\n5885 9432\n1905 14129\n7174 8224\n12 14431\n1037 12444\n4203 17340\n5467 14186\n4110 10934\n2410 11227\n6234 10553\n11995 13965\n75 1787\n9234 15242\n8267 9041\n3304 16637\n3866 4973\n5587 9162\n5617 13671\n6250 8670\n1330 15068\n11492 12971\n9717 12839\n1238 1318\n11115 11167\n9430 11590\n10104 12591\n12969 16559\n423 5646\n2353 6355\n1873 12182\n13807 17270\n2702 5304\n5964 16728\n14946 15833\n1519 8280\n11831 14860\n808 8039\n3499 3661\n4438 5752\n7284 12425\n10498 10588\n2315 15798\n2605 7561\n8430 16563\n6159 6420\n6577 12010\n1751 11940\n8483 17335\n55 16660\n5332 7357\n1165 11328\n6943 9384\n6768 13759\n13915 16201\n6758 16766\n3743 15674\n6472 17095\n2723 3649\n5744 16033\n3970 8796\n4483 7799\n10795 13665\n6414 6767\n5479 10815\n6990 13408\n9565 16198\n190 5838\n10551 17167\n6714 15438\n1557 11213\n12536 16748\n238 5229\n9166 9544\n7006 11750\n1475 16575\n5133 13451\n4395 5080\n9908 12817\n7012 10524\n2010 2605\n12012 16536\n13001 17221\n9260 17321\n4786 13739\n8415 10569\n2560 7218\n6259 11425\n4380 12492\n12851 13933\n601 4291\n560 16055\n8406 14759\n1689 4144\n10796 12172\n9006 15000\n3297 7406\n4745 17289\n510 2187\n2703 15933\n1934 9917\n3872 7994\n1542 4682\n11872 16182\n698 2238\n3081 12921\n1222 7438\n6216 10630\n4187 10986\n5485 11082\n1298 16716\n8433 10142\n7670 17130\n11434 15407\n10100 14429\n1846 13135\n14855 16499\n7641 11699\n2739 15734\n1999 4797\n2424 14558\n2937 12446\n1288 13958\n7301 10489\n10291 12082\n8257 15508\n4062 14703\n12961 15408\n13755 14437\n1542 5240\n1667 4317\n941 11742\n6580 15256\n2908 15877\n8409 17459\n833 16867\n6352 11094\n4090 13721\n8810 11026\n7477 16794\n1371 15800\n3459 11073\n2418 6041\n4968 7212\n450 4147\n5301 15915\n6746 8558\n11402 16412\n1455 12004\n7009 15210\n1267 14270\n1848 6644\n2571 2622\n3203 15355\n2706 2911\n11392 16267\n2028 4565\n5226 11389\n15952 16073\n7144 9716\n8204 16106\n7645 13095\n5208 9163\n1914 7269\n654 15715\n2041 14432\n4385 16856\n5758 16901\n819 2041\n12899 17000\n3308 11854\n1862 11209\n7026 8175\n8005 9411\n5600 12714\n3643 15104\n226 4579\n52 17401\n5588 7529\n12123 13015\n52 3056\n572 12072\n10083 10867\n6328 9274\n793 10523\n2936 12068\n1720 5203\n15155 16610\n9283 9907\n9010 16566\n2830 11828\n533 6376\n3484 6210\n10889 16697\n6799 7396\n5330 12064\n2014 12283\n323 7569\n223 4838\n7602 16444\n6932 10436\n13211 13573\n893 7446\n536 14280\n4541 8237\n2481 15009\n12301 15970\n5371 12336\n2623 12563\n13661 13768\n155 17246\n12001 13339\n2963 17382\n8125 16641\n13193 17281\n6031 12290\n14204 17441\n8249 10672\n7235 15701\n963 9480\n9972 10595\n2105 5375\n10345 15984\n809 14009\n15375 16090\n2795 12103\n3705 16431\n10167 11341\n5527 9138\n3617 7972\n12812 17103\n2610 17442\n2048 14557\n10219 12875\n1448 5691\n12925 16356\n4126 7348\n3431 10073\n970 14441\n4112 5191\n12163 15314\n3442 6721\n15981 16104\n4824 14987\n2778 7866\n742 5723\n3494 3587\n9584 13457\n4688 14172\n4345 5121\n405 16683\n3778 12228\n11493 11526\n6232 11293\n14275 16811\n2174 16898\n1912 8923\n14555 15226\n902 16743\n529 5784\n5311 6302\n7527 15565\n583 15924\n3121 7191\n7311 9836\n1733 14343\n3702 13177\n8890 15102\n8485 13880\n1902 11297\n5004 13374\n125 6371\n4647 13528\n12922 15354\n5992 9905\n5685 7305\n509 571\n4228 14160\n6946 14094\n3765 10796\n874 9962\n3171 8686\n4101 5486\n8326 11328\n12577 13644\n14241 15555\n350 9538\n507 17451\n3095 14675\n3733 5216\n4267 12925\n2501 16409\n9187 9749\n628 14899\n4004 6618\n3408 7458\n3253 13691\n11040 12556\n10712 15069\n2193 7601\n1954 7854\n1828 5697\n5623 10490\n6718 11545\n11721 14295\n14113 16491\n3567 15191\n367 11539\n784 10829\n2180 11649\n7012 15595\n1004 11299\n10926 10989\n3495 13880\n5944 14051\n2573 5410\n10104 16932\n10043 16595\n11388 16934\n832 17262\n2828 11215\n5979 8410\n9655 12427\n2509 11488\n2995 9527\n12637 17052\n1378 3411\n14324 15664\n14013 14755\n2754 4603\n14246 14630\n1132 1499\n5767 17339\n4377 13086\n239 8294\n6566 14749\n286 11118\n1879 3846\n10436 13647\n6751 13907\n2765 4668\n8941 14008\n3966 11886\n12430 14102\n10028 13433\n3938 4206\n3042 6415\n361 7058\n15450 15750\n2228 11282\n5900 7342\n15010 15171\n14274 15313\n5505 13959\n2176 13214\n4528 9050\n4506 12367\n11351 11456\n982 9235\n1161 4337\n8942 14065\n3786 5012\n2287 17329\n11479 13014\n5727 16587\n2489 14585\n4320 7344\n5822 9188\n4256 15769\n4076 7263\n8780 17062\n2008 7256\n7250 9591\n10955 14745\n693 16917\n3295 5637\n11360 11381\n8071 8824\n14326 15257\n3683 4005\n10540 14279\n2500 10642\n1555 13727\n3610 13596\n5890 12960\n1719 15500\n13001 16032\n8269 8997\n13164 15103\n1385 5417\n3494 6872\n9050 16002\n1246 17050\n652 2988\n7184 9608\n13883 14165\n11570 12583\n5699 6740\n773 2084\n82 9761\n10031 11833\n13665 14281\n2096 3714\n4736 10211\n1378 3413\n4754 14331\n12366 15119\n9726 17310\n14320 14677\n4743 7025\n5666 16320\n8545 12468\n7326 7717\n3141 13158\n4464 10830\n692 14401\n5824 15261\n10567 12025\n3374 6743\n11702 15146\n6612 14194\n7421 9530\n4746 17309\n6741 13447\n4555 14465\n9491 16223\n1184 1251\n12748 14188\n51 16650\n3130 15995\n4348 5217\n2875 3598\n7289 12756\n6050 9927\n268 11424\n4544 11017\n3044 6080\n4198 13458\n1877 8047\n10427 10743\n6155 8477\n5736 7084\n7947 16804\n3827 4984\n5912 6506\n10316 13529\n11961 12505\n3687 9452\n1045 2407\n1522 2477\n5628 11569\n1507 13426\n5396 14135\n132 16320\n1711 7389\n1478 1855\n719 16245\n10324 15416\n11171 12932\n7481 10680\n8702 15460\n3265 4344\n5709 13886\n10758 12082\n5444 16420\n3388 9338\n12536 15409\n2778 11950\n4929 5971\n767 7681\n1462 12139\n8807 16663\n3728 11321\n11552 16398\n13350 16241\n10427 15317\n5322 17173\n6848 13641\n11428 11606\n1614 16570\n1408 4996\n1226 12299\n4489 15715\n3647 15179\n3544 8071\n7021 16366\n12470 13691\n362 11675\n1973 14311\n214 723\n15395 16863\n5703 11851\n7297 7399\n5818 15380\n2021 10598\n15366 15591\n3111 10909\n9563 16409\n2118 11718\n6379 15556\n11110 12001\n11099 13611\n9813 11583\n7805 8991\n3130 4024\n533 12022\n10068 16744\n13298 14051\n4307 14850\n5523 17144\n4399 8988\n5194 12053\n7378 9732\n5469 16373\n5994 10797\n12048 13990\n1867 16769\n1161 12480\n8004 15795\n12594 12862\n6985 14224\n737 13795\n430 5843\n5472 13731\n3179 14165\n4210 11504\n3005 8942\n7270 14481\n7417 15640\n556 11368\n3743 13774\n1138 7529\n12634 17207\n3681 10711\n2121 9996\n7407 8750\n4948 16852\n4940 17094\n13451 14475\n10261 10759\n883 1129\n8285 12341\n11566 12302\n6304 14663\n13942 15755\n8377 15055\n8591 11055\n10309 14104\n1056 9904\n969 16603\n9362 16472\n11329 14467\n1957 5832\n6739 14270\n1826 9716\n3508 3768\n9050 16318\n7172 8083\n9607 12770\n4740 17257\n1664 2638\n2161 10792\n9202 16305\n10642 17056\n2261 15268\n14514 15340\n10230 12919\n1393 5543\n2868 5118\n283 864\n8067 9949\n5845 13232\n6070 11548\n5943 11909\n12111 12885\n12552 13071\n11540 13801\n5521 12650\n9192 11130\n11739 15877\n3155 13275\n10932 13660\n4423 10447\n1905 2677\n11464 14212\n5345 16949\n16027 17185\n443 1693\n3956 6959\n437 1673\n1539 15289\n5533 5584\n1971 14732\n11840 12427\n4299 4768\n26 803\n8139 12355\n2297 7819\n11508 13921\n2526 14223\n4804 13020\n2456 4193\n1803 9161\n10853 13091\n1277 7736\n201 15817\n12994 16969\n10029 16535\n1914 17253\n4171 4443\n5994 12599\n6261 10450\n9883 14548\n5308 15474\n11333 11820\n2306 10675\n3139 10038\n1993 8832\n6221 6780\n5598 10702\n433 17327\n6299 11002\n11592 12004\n10172 12017\n800 4108\n10051 12756\n11857 16638\n4885 13316\n6637 17137\n14260 17034\n11927 16398\n10398 13369\n5822 11203\n1598 8200\n11169 12304\n2172 7295\n501 14368\n620 8445\n9505 16813\n2119 3783\n2700 8720\n765 11926\n9889 15048\n2046 15693\n5257 17013\n2122 9925\n1284 12394\n13522 16948\n6571 13550\n1112 8129\n6803 11471\n4822 14985\n5286 10958\n863 6731\n3517 4925\n4434 4870\n15058 16983\n1464 14229\n971 6261\n1190 3174\n7444 9101\n5867 11837\n5469 6695\n7873 13526\n1100 11158\n8520 11907\n7109 16808\n7383 14559\n2789 8095\n4254 11020\n10374 14524\n2299 16189\n6380 14771\n126 9241\n10665 12700\n11036 16678\n14003 17308\n2831 5557\n5224 13954\n4823 13357\n6302 15145\n8101 16697\n1766 6647\n2793 13518\n9778 12604\n8306 10581\n4271 4589\n11579 16788\n10192 17259\n487 13912\n1569 13248\n2666 12353\n2040 2291\n1819 7481\n15559 16665\n8558 11532\n7897 13151\n11743 15198\n9005 10113\n722 8340\n682 5917\n3810 12741\n8183 17166\n3546 5930\n9976 14359\n4976 10412\n10481 11503\n1112 16782\n3942 5689\n1491 7557\n7495 14827\n5301 10243\n2249 7239\n17072 17370\n3507 15613\n4827 12069\n6238 6421\n2859 15332\n5881 6000\n1749 6725\n2022 7717\n4378 5187\n1134 17148\n706 9370\n4988 8964\n544 13527\n6076 16895\n12463 14714\n13095 15681\n1612 10959\n8794 12077\n583 15091\n798 3949\n9237 16961\n8462 10461\n2696 15844\n8272 14501\n4345 17081\n966 3340\n3147 6435\n303 14247\n4945 10142\n7054 11390\n2175 2435\n4197 11032\n1950 5114\n12741 12990\n1993 15340\n67 10970\n10914 13556\n9833 15432\n13238 16445\n1628 12624\n3588 8738\n11278 14482\n438 3291\n11800 12120\n1146 17389\n11436 14594\n90 3587\n13993 14611\n2197 15727\n6668 11604\n364 15890\n2974 4953\n12501 12976\n9699 11442\n837 6039\n9117 11202\n1818 12044\n555 14369\n1305 4075\n6246 11732\n9830 11686\n7873 14411\n6232 10916\n11532 13658\n9069 15616\n5774 10781\n7935 10190\n14272 16176\n7017 14080\n10890 12839\n4433 5675\n5302 10270\n3904 15287\n11079 14589\n4975 16579\n5579 15222\n10742 13862\n1493 5630\n14571 15850\n6895 15257\n1492 7785\n7585 10463\n2922 11758\n385 536\n8089 11903\n1896 4860\n3844 14516\n5347 16256\n968 14864\n10349 16103\n5743 11313\n14316 16564\n5884 13038\n4386 5949\n4962 8034\n553 6810\n6710 7020\n3352 12925\n14536 15270\n5651 6456\n3680 7913\n10647 16959\n3333 16123\n9815 17083\n10147 12126\n4747 11701\n6180 9300\n5810 10842\n495 6852\n615 7411\n571 6979\n3371 14951\n2187 14225\n10448 15912\n4378 6213\n8031 15202\n3666 8833\n6136 12726\n12608 12763\n1393 1610\n11771 16069\n6109 7760\n8754 11270\n15526 16078\n2675 10153\n3836 8837\n3739 4621\n273 1004\n2980 13938\n2869 10608\n1768 7737\n2868 7244\n11616 16330\n6029 11232\n14305 16135\n10858 12088\n158 11431\n9046 16750\n7848 13674\n4926 13771\n9893 12690\n8689 12590\n3456 12112\n3161 9149\n11315 12586\n2673 6537\n1380 13297\n1732 6533\n9184 10186\n6080 7273\n13664 16696\n9244 16076\n1047 7608\n5724 15210\n6032 8811\n4050 8365\n1440 9275\n730 10535\n3399 17451\n485 8907\n8604 14664\n9760 12099\n41 14445\n6368 13065\n5264 12925\n5591 9447\n9633 14159\n1247 8073\n12829 14997\n1364 12026\n11753 14344\n10010 13501\n4405 17066\n349 2407\n13446 13850\n7742 10252\n5784 10527\n2881 12400\n1812 16978\n81 1617\n1954 6553\n2631 9667\n7392 11431\n6486 14995\n794 9059\n1368 14061\n6362 15189\n8106 11009\n10301 17031\n12685 14396\n3282 13782\n344 4485\n1137 14216\n12147 14634\n2618 16962\n6827 15088\n5992 13570\n11187 11982\n1955 8144\n14009 14291\n6065 10922\n155 15790\n4454 14000\n523 10661\n9355 10416\n4923 13759\n307 5794\n10331 11836\n3804 14440\n2428 6297\n10230 11818\n12548 15247\n16347 17354\n3366 7858\n9799 15556\n937 5952\n1543 14699\n8962 13443\n7033 12036\n10729 17430\n5827 15158\n7122 9393\n3294 12790\n2059 3543\n10671 13840\n7449 12802\n5167 7249\n5765 6844\n1352 14687\n11081 12114\n2520 3107\n1500 12783\n6122 6921\n7538 10588\n4210 14200\n5535 9862\n6285 9769\n9561 15265\n14681 15294\n2954 8696\n6360 8458\n6253 12105\n16464 17258\n4091 17130\n5993 14221\n14183 16728\n4051 9233\n8546 8952\n2390 8946\n10208 10330\n2335 6447\n6946 9031\n7561 14671\n1780 15623\n13481 17325\n13485 17073\n1143 3520\n3477 6526\n14704 16821\n1383 12974\n1113 11183\n6614 11584\n956 3675\n5208 12808\n3591 3991\n6623 9072\n14865 17380\n7343 13983\n6302 8822\n5036 9786\n2786 6683\n6548 15275\n5399 6042\n8505 11672\n7626 11704\n14482 16545\n797 12687\n4624 12705\n532 4241\n7625 14252\n8662 10391\n4562 9438\n1799 8513\n13113 16197\n1628 2450\n8709 14019\n5087 16336\n1985 9882\n13459 14227\n4851 6831\n5122 12234\n9053 9425\n4009 4348\n4593 11382\n1637 10218\n2194 2476\n8226 9059\n269 14986\n11927 15226\n2895 16863\n2744 10617\n10975 16267\n276 1809\n3861 5047\n8121 17158\n4472 15147\n1717 17376\n1447 11383\n8292 11580\n11859 15049\n11211 14093\n13836 15933\n5560 13718\n10280 16546\n3022 13024\n12684 16246\n14768 16716\n5951 10070\n4300 12855\n582 4269\n6558 14266\n14672 15296\n8948 16253\n6614 7166\n6150 11565\n13213 14676\n7180 15391\n13398 16202\n9601 11747\n2935 11402\n2562 8472\n10318 15120\n2532 16684\n11568 14905\n11350 15267\n3744 5268\n307 10690\n10827 13545\n15474 16518\n3292 4497\n3120 5686\n4202 6939\n12758 14870\n7674 11346\n1199 10512\n10224 13066\n3603 17213\n945 2983\n2904 8098\n8510 11492\n7722 10700\n436 8486\n12249 17002\n2137 14623\n1939 13158\n1036 3571\n1550 10826\n3516 13478\n382 13069\n162 10621\n1879 12597\n5078 16030\n7121 11292\n12819 17235\n843 4955\n1296 8434\n3758 15091\n7076 9336\n7914 11116\n9818 10246\n1716 17215\n3837 12958\n3173 14745\n2070 9577\n6465 15356\n15351 17347\n655 7251\n4036 6746\n15374 16878\n13716 13774\n4199 15775\n5690 11041\n2488 13327\n3836 8883\n331 4370\n941 10137\n11932 14168\n15775 15949\n1350 8563\n3371 7519\n7505 14645\n10727 10940\n1645 8019\n12322 16666\n9745 11808\n344 10828\n7679 12618\n1097 1224\n4483 5033\n12617 13877\n12435 15947\n10403 16063\n5463 6014\n8212 16993\n3263 3327\n4794 7557\n2743 10460\n2098 10205\n211 5919\n9681 10560\n695 6866\n3901 12436\n6593 9670\n1944 14953\n11961 13234\n6338 10684\n963 3789\n10298 13187\n8486 15159\n4287 8458\n10551 13860\n409 11747\n10814 12129\n9737 16306\n4566 11675\n9484 15468\n13238 13609\n5466 9692\n8046 8649\n14070 17324\n6392 9901\n932 11455\n2054 6449\n4515 6281\n8790 17112\n860 15143\n8362 16972\n4862 16457\n5387 13464\n5653 7967\n1200 5425\n3166 4814\n285 13580\n1429 2056\n14842 16986\n2292 11085\n11631 12133\n1850 2703\n7145 9486\n242 16375\n3879 14225\n6092 15275\n1483 5144\n2451 8382\n12572 13983\n10728 11926\n4197 15332\n8024 15175\n12119 12344\n6988 17036\n564 4023\n7103 9967\n4801 12713\n2700 8602\n2085 16085\n10117 14622\n12701 12908\n13019 13622\n3555 7812\n1254 14124\n1181 2397\n7987 8147\n85 4611\n1352 6128\n1826 4445\n2009 9183\n5849 11939\n1333 11172\n936 4257\n1244 13560\n2735 15775\n1570 12626\n8402 10444\n1197 7240\n865 14998\n9794 17414\n6028 7831\n10016 12160\n2556 9288\n11756 11965\n2718 5311\n3191 11859\n6024 14964\n1337 15833\n12654 14014\n10807 15514\n9712 15052\n8598 9237\n70 4041\n66 229\n8661 10123\n15103 17339\n4114 14458\n14499 15138\n12338 17064\n14705 16520\n6943 12446\n10281 13864\n3468 17421\n8052 16082\n1456 10855\n34 11606\n3247 13483\n7587 11163\n12751 17089\n534 7248\n15694 17418\n4525 14492\n6981 16387\n174 12340\n6950 8082\n12625 13381\n1915 11686\n5588 5682\n4547 14802\n10665 12516\n10398 15321\n5060 9512\n2574 5093\n6305 14066\n7574 8749\n12446 17119\n107 10208\n8509 8680\n10438 13833\n12942 14240\n4931 6966\n10636 14110\n2113 14611\n4293 5620\n1857 13172\n748 11849\n3305 11223\n7024 16690\n1836 6915\n2746 8268\n976 16437\n38 3520\n7688 13633\n13287 14969\n7018 16569\n7756 15540\n7 15783\n7661 7679\n2548 6537\n13529 16457\n7006 10037\n2428 11812\n385 851\n851 11685\n15036 15358\n7401 8280\n13841 14003\n7616 16170\n1344 5701\n1211 5337\n392 6836\n1125 6473\n295 4268\n4412 4782\n10505 16714\n227 6244\n775 3505\n1854 4124\n5743 15228\n7222 12023\n9435 16802\n1183 7922\n12292 15308\n3752 14588\n3770 7085\n2704 6031\n5401 15089\n6169 8444\n3390 5083\n1089 5163\n3729 8788\n12142 13598\n2647 3227\n7063 13237\n11746 14389\n12004 15672\n1917 7348\n2616 5172\n2332 3429\n3068 14689\n6746 17114\n6830 8053\n4720 10410\n12856 15163\n4604 16475\n1759 12673\n11533 13680\n12482 14225\n12331 15583\n9170 12595\n402 16404\n5762 10650\n4074 9499\n16130 16846\n4849 15774\n6992 9544\n5545 14366\n103 2660\n16162 16231\n1493 8432\n4114 4261\n11112 12885\n1522 2188\n8271 15530\n4673 13877\n3571 13960\n2944 6822\n5825 9173\n9915 14792\n3155 11236\n1171 1944\n4287 12863\n2108 4634\n8972 16984\n3823 17013\n2990 6557\n1418 5590\n11099 11825\n1544 17142\n7286 12820\n1900 3166\n3526 13363\n17101 17461\n6573 13501\n6118 16330\n13493 15730\n9837 11109\n6935 16235\n4223 16568\n5785 8225\n2953 4932\n2518 6525\n4193 11627\n2845 8813\n3873 14344\n13353 14524\n11012 14210\n6129 13621\n11687 16437\n2624 14158\n36 15704\n1705 15154\n1781 15876\n554 5607\n1614 15302\n9092 11782\n6463 9965\n11507 16482\n3338 5730\n2153 4972\n5226 6930\n997 4543\n1904 16551\n12336 13094\n4368 5264\n9348 17165\n10050 15797\n6900 10253\n1752 9586\n12992 14713\n2488 7663\n3293 13967\n6772 16668\n3197 4030\n1602 10916\n8858 13753\n5215 12235\n15269 17460\n8055 9260\n3912 16228\n1748 14938\n4403 13864\n8711 9664\n13211 15895\n3196 8231\n12398 14738\n1856 13195\n7688 14018\n3101 5031\n4158 9300\n5945 16436\n4133 9198\n730 15176\n6931 7732\n69 4930\n4445 5772\n10605 14087\n11634 14084\n3484 7223\n1097 14696\n3567 7909\n2305 8555\n3774 7349\n6663 15046\n6125 11846\n2190 3612\n6212 7741\n8041 15024\n357 12450\n1408 1922\n2422 14300\n12101 16196\n12183 14186\n8008 11174\n3876 13857\n1653 4920\n2310 9389\n5097 13893\n5020 16710\n12153 16663\n3820 15047\n1725 2376\n11037 13031\n111 5825\n2109 12160\n8476 10361\n5453 7129\n2904 8616\n276 646\n1340 16212\n9879 15203\n6339 12560\n5832 15729\n5437 16032\n7562 9783\n12819 14377\n3575 7009\n14947 15280\n7162 14949\n7816 11800\n6218 7442\n3196 15168\n8419 9077\n8792 13362\n680 9137\n14284 17081\n15400 15621\n13398 16666\n2528 16049\n12177 13445\n13526 14843\n6664 15094\n12976 17118\n6629 13590\n1162 2982\n5443 12383\n3164 13976\n3243 5577\n4146 9321\n3919 15583\n12731 16719\n63 8444\n4319 10924\n874 3746\n5091 10208\n8010 13582\n6212 16022\n1233 11596\n2676 12764\n7823 12993\n7645 7666\n6708 9180\n16830 16913\n1590 10870\n208 13053\n13752 14772\n7903 14216\n1844 3781\n1419 2799\n10052 10400\n855 5938\n4218 6444\n11750 17301\n6043 10169\n11893 13894\n2294 12049\n1726 9386\n1406 2179\n705 10371\n4722 14588\n5770 15510\n7474 12642\n9760 17112\n14794 15976\n5301 9876\n11832 17026\n12848 16385\n391 16246\n13188 17000\n5137 7443\n614 4561\n2503 10622\n12818 15913\n3114 6831\n198 14411\n13413 15304\n788 9108\n14060 17348\n2550 9681\n9784 11573\n9881 13609\n11398 12691\n4188 13271\n1210 16096\n628 5005\n12681 17312\n9740 12367\n14621 16350\n10883 14292\n3361 13497\n16430 17378\n261 5215\n712 11836\n2524 5979\n10061 15632\n1698 17001\n3580 8115\n2837 11053\n3064 10741\n7282 15818\n3592 6648\n7170 10101\n9624 15581\n4553 6463\n4560 4635\n364 12123\n2962 14860\n13846 14575\n1383 16105\n908 3658\n11225 16641\n2387 5267\n2861 9961\n31 5453\n9112 13922\n2620 15923\n7842 9729\n756 14018\n4607 14927\n12156 17409\n7866 15188\n9345 15727\n8085 8636\n343 8801\n1580 14324\n3169 8155\n7852 11243\n6699 14714\n642 9297\n4823 5445\n8942 17215\n7238 11132\n3702 7065\n3564 7331\n5271 10530\n7190 12221\n3261 9261\n1948 16509\n2806 10864\n6305 14289\n6879 10278\n6083 11347\n480 5408\n38 15922\n13050 16436\n2718 5172\n4564 16485\n462 4105\n11432 15755\n10563 17267\n15854 16537\n17115 17319\n1096 5832\n9915 13233\n13939 14180\n356 15651\n1697 7865\n12189 12448\n2424 15744\n7473 8315\n11802 15739\n11070 16213\n11320 15378\n4805 15224\n3710 5354\n3644 12107\n17055 17283\n9381 13127\n2307 12409\n13391 16334\n12280 16378\n11044 15454\n2012 10533\n14179 15331\n8705 13094\n3144 14505\n8486 16001\n5732 11587\n13519 17036\n291 9561\n14642 15580\n2998 11890\n1601 12058\n13051 13504\n7516 8546\n16304 16318\n1317 15393\n9750 11363\n2069 11713\n6766 14647\n4377 14306\n16077 16836\n9850 12082\n6772 16584\n1500 16446\n10297 14518\n3306 9570\n1948 2932\n2139 5021\n2788 9657\n8671 13414\n3918 3958\n1757 9410\n8190 14684\n2156 14340\n8381 11227\n1973 12991\n12852 17270\n3832 4102\n762 1561\n4297 15178\n4903 17227\n6665 12703\n5910 8846\n4732 9028\n11237 11485\n9603 12158\n6957 15336\n7586 15573\n13090 15780\n1173 11112\n12727 15082\n962 17363\n7180 15454\n1101 7311\n6114 8955\n1156 9849\n5963 13687\n9573 15035\n9870 13097\n2385 5537\n3416 12567\n5160 6417\n638 1229\n4284 16040\n4776 6667\n1921 10941\n9920 14644\n4925 11088\n1082 12879\n2002 7827\n11733 13489\n15285 17394\n9396 11992\n3862 11075\n1862 5480\n3108 14966\n6007 7783\n5882 7394\n3531 13332\n9695 11126\n9677 16642\n345 6597\n2593 9895\n5503 12862\n4802 9737\n5758 10326\n9462 10163\n11976 16457\n6283 8997\n11166 11350\n2739 3160\n9971 10257\n2500 12063\n4287 14298\n1904 6136\n6580 7952\n8084 14513\n4300 15935\n5803 5973\n1237 12307\n7824 13346\n1389 10902\n6283 16405\n2128 8354\n7760 15610\n6130 7720\n272 1411\n5609 16971\n3565 5954\n10947 13382\n13092 15858\n1532 5847\n5410 5657\n2865 12274\n2004 16119\n8300 15603\n6913 10302\n1114 8551\n11212 17313\n2170 16084\n6663 16891\n4988 7612\n10580 14296\n1805 15288\n8055 16206\n9843 14548\n12507 14050\n6140 10566\n5252 11696\n5314 12523\n7152 16980\n15386 15517\n2879 3186\n6101 13492\n3528 7900\n2154 4258\n7575 8931\n4062 10713\n7961 11860\n6556 14376\n504 10258\n3311 7791\n10710 15817\n1467 13793\n2678 17052\n3657 14224\n15393 16854\n388 15395\n7234 14801\n2854 16958\n15042 15969\n8790 8904\n14850 15763\n14062 15341\n5311 6581\n2335 4223\n9676 11755\n2273 14746\n6019 14136\n11076 12500\n2174 3483\n3806 16748\n3421 8803\n1019 17462\n5202 6595\n3486 7680\n8479 8694\n640 12468\n6291 12939\n2867 17367\n9867 11993\n604 2757\n1297 12910\n9964 11869\n3724 13565\n6281 8025\n7101 17022\n8190 10170\n3260 14825\n10397 16565\n294 539\n5168 13748\n11252 11325\n7018 13046\n12850 16172\n6742 7857\n8207 16520\n11182 16290\n5477 6585\n15692 16721\n4937 16120\n12664 15670\n2693 10657\n5097 12646\n2984 13185\n9433 12866\n10019 14844\n5629 16698\n1490 10819\n3738 6938\n2375 4345\n5649 12778\n10889 12640\n3559 16959\n7190 11185\n7442 13191\n12872 16170\n10781 14374\n1463 3346\n8137 13923\n9157 15708\n3704 12781\n2373 6691\n2910 4811\n2757 5612\n365 15098\n383 2647\n2890 2892\n2034 15813\n1572 3368\n2774 6653\n11804 12382\n4839 8261\n492 5881\n4815 10345\n7244 11184\n7505 17299\n13776 14536\n11713 14684\n14017 15735\n5322 7932\n12279 15403\n6082 9911\n1546 2070\n286 437\n5041 11387\n891 7411\n4541 10514\n3692 9215\n5127 6884\n1366 17110\n10063 15074\n1238 6922\n10939 14641\n7395 12940\n9418 9660\n9057 17453\n13572 15964\n1624 14595\n13677 16738\n4009 9094\n4840 11995\n10186 11630\n2657 5831\n3327 16096\n2040 7923\n8382 13313\n3499 4574\n235 15481\n5184 15992\n448 8332\n11002 16317\n4084 5085\n11300 12449\n2711 8533\n429 12722\n11932 12830\n4929 12238\n6649 9453\n5421 12159\n69 12604\n11188 16728\n10972 16831\n10593 16309\n10217 12111\n5160 10932\n8003 11467\n6938 16831\n11367 14567\n10307 15642\n3050 4242\n7075 12799\n4181 12411\n9654 17452\n2904 16391\n374 4930\n5147 10588\n6426 7791\n6035 14976\n595 3336\n13767 13992\n5403 10850\n3650 8827\n2324 7778\n676 8784\n4304 17404\n5799 8716\n4016 12635\n3512 14921\n5502 14060\n11960 15529\n2079 3429\n10008 12464\n2610 11314\n8062 13315\n4746 8948\n7009 11993\n8816 12754\n541 8980\n11316 15174\n3987 15817\n10394 12623\n10617 10930\n11310 16088\n7099 7733\n2638 11419\n7304 10377\n12669 14716\n2748 7491\n12979 13799\n112 17434\n2420 8044\n4751 8246\n5546 9107\n4211 8222\n968 2108\n1742 12237\n6389 16417\n3209 8492\n5374 13771\n5621 11479\n6681 14540\n1029 16861\n6750 10034\n9 8785\n393 3805\n8401 10602\n11359 15181\n5940 6462\n5742 15007\n8592 12415\n4139 15886\n7527 14746\n5533 13752\n454 8182\n4106 8597\n3206 10179\n1629 3318\n632 7808\n11978 12705\n2183 15335\n1367 5414\n8482 11880\n7633 14359\n3917 4542\n984 7397\n2541 9182\n6543 11597\n5502 16498\n4777 13130\n1151 1443\n4464 8765\n9765 15536\n12679 15186\n7096 8250\n4273 8952\n7622 14159\n553 10059\n6767 14341\n8160 8667\n3302 5301\n9092 15704\n1395 3715\n241 16181\n5599 16102\n14750 15867\n14643 17206\n7604 8970\n11678 13421\n9511 11714\n15321 15691\n4869 5411\n3669 8927\n1748 2758\n3539 17178\n541 11795\n6204 6577\n4921 9341\n1525 16114\n6151 17342\n6897 8389\n9320 14067\n4578 8958\n10837 12651\n5528 13619\n8412 12605\n6075 11945\n5283 13369\n6515 6638\n10079 13772\n8522 9063\n5009 6511\n11579 14717\n13905 15264\n4517 13152\n9040 15819\n6886 14489\n11232 12512\n7080 10194\n9872 13357\n17 13892\n8668 11080\n897 9846\n1569 7599\n8379 12523\n495 11794\n4939 15516\n4113 6340\n5745 13690\n3243 17165\n6796 16944\n3733 11950\n14593 16702\n4736 15040\n1381 16863\n2800 6199\n8361 16097\n6752 10134\n676 5604\n3500 12952\n2136 8627\n5321 16749\n816 13021\n8315 14855\n1090 7263\n5163 12710\n4352 6282\n4582 4668\n1656 13074\n11483 16358\n8061 14140\n8734 14444\n12711 15490\n6731 15055\n11022 16227\n2703 3344\n4617 6827\n5496 14756\n713 9675\n71 13349\n5060 12019\n4168 6037\n5764 14493\n10326 13545\n5055 10182\n10127 14281\n5667 8176\n2988 8046\n9131 9606\n5521 11583\n618 3672\n642 5793\n10507 12858\n975 9917\n2265 3803\n4448 11522\n3768 11324\n6461 10825\n2727 14936\n6011 12016\n3941 13966\n2919 6574\n10616 14185\n56 9908\n4127 5415\n1493 6428\n11124 12012\n11699 14515\n12908 13492\n1285 16440\n13239 17343\n3191 12848\n1068 2328\n4325 12057\n7665 9821\n1172 17293\n16299 16658\n9530 16760\n686 8562\n8176 13261\n5468 8582\n6977 16193\n8628 16698\n2157 9837\n2376 13064\n13148 15981\n5061 15231\n490 14286\n7386 8994\n9610 16238\n1409 4950\n6855 17335\n9678 9904\n10093 16775\n5847 12080\n4832 13798\n1387 1392\n9194 15704\n1786 7235\n2700 12882\n3088 7737\n268 16034\n14127 17011\n11543 12591\n1137 16387\n1276 14100\n303 2510\n5530 8707\n6518 14881\n3947 10158\n6468 8268\n2776 5178\n3424 5564\n61 4516\n2067 7382\n9734 14170\n688 8630\n600 3706\n8054 11092\n6035 15615\n1029 17398\n5518 12629\n5648 8060\n101 5348\n5200 9519\n27 974\n265 15664\n17113 17284\n5583 7687\n12631 14871\n1792 1824\n762 3839\n627 3299\n10040 15207\n2427 13156\n686 13836\n4538 9492\n3004 11283\n8710 12065\n15631 17073\n427 15799\n3347 5360\n1003 12809\n6644 17116\n10735 15383\n2435 4390\n2544 11295\n854 8277\n3791 8617\n12019 15125\n4680 8451\n4996 14055\n3561 12418\n7230 8737\n5841 15607\n10760 16521\n6357 17200\n852 8494\n3297 4057\n14063 14283\n3495 7765\n3542 16908\n8047 17371\n3809 7811\n4667 11012\n5451 14859\n4222 11851\n6123 7196\n14657 17407\n6851 6879\n5979 7774\n5957 12051\n8143 13614\n6871 10122\n4202 10157\n1488 4249\n4682 14271\n75 7923\n244 1310\n1211 12419\n5216 9964\n5001 10344\n172 2894\n2141 16331\n759 1511\n10116 11678\n7330 13683\n4443 4456\n7790 15145\n1401 6781\n5841 14980\n6032 11191\n1764 3936\n2611 8815\n3375 17241\n3260 15995\n12345 12956\n7635 9211\n14311 15666\n637 11078\n3476 11245\n7879 15168\n5103 12289\n4393 10721\n7014 10772\n9159 14835\n1973 11423\n6629 8061\n10098 11984\n7095 10487\n6970 13532\n6426 12320\n3342 14853\n10670 17248\n2467 15397\n2431 14950\n13575 16770\n5306 8161\n3448 11877\n6207 10332\n2728 7606\n3060 10140\n2834 15331\n2829 3796\n7777 11195\n5703 7243\n5335 14048\n3542 14457\n2713 10775\n4404 16890\n876 16990\n11063 12054\n1407 8163\n873 17218\n1447 3312\n7532 11855\n3449 12738\n12681 16152\n9916 14996\n9557 16466\n3109 7411\n2663 10517\n2947 12083\n5121 11017\n3014 16389\n6415 14698\n2439 16461\n3929 5858\n413 6180\n1476 14715\n6040 13943\n4026 10869\n1057 13145\n2742 13514\n4970 16875\n5543 17205\n7350 7366\n8956 15719\n4731 4807\n898 6973\n4968 11861\n4925 15189\n3937 6590\n2791 13092\n4553 16026\n1479 15050\n323 15878\n8507 15651\n9431 9523\n1810 17068\n178 17358\n10574 12811\n10201 12509\n8616 14667\n3499 4628\n3492 14108\n1810 3950\n689 14600\n2933 12207\n1156 11970\n6326 8183\n4732 10666\n9449 16157\n5611 6216\n4629 17262\n68 15345\n676 4513\n1306 1514\n4462 14589\n6613 13972\n6996 11525\n179 13772\n7306 12499\n393 8929\n8799 10428\n3363 13259\n8328 12391\n9865 14124\n1549 7933\n4376 5495\n4357 7906\n13642 15924\n433 10871\n124 13655\n8123 15401\n2733 10665\n4815 8647\n3598 16402\n4552 15436\n9798 11023\n1151 15056\n9043 16331\n2658 12114\n11035 16405\n4003 4235\n6467 14584\n8059 16650\n3814 6818\n9138 10379\n14915 15669\n8947 10744\n6540 13885\n11382 12333\n338 15359\n11802 17157\n2569 14807\n6056 10508\n11810 13124\n1780 3365\n2957 9491\n11100 16158\n9710 17032\n7201 7839\n110 337\n1603 14110\n10117 11554\n6655 7319\n111 6785\n4588 6086\n11713 14823\n812 16480\n5154 17399\n5720 16450\n6146 16836\n9684 16807\n8362 10730\n6939 10923\n15 16363\n3826 11744\n5030 9746\n4531 5278\n5152 14486\n2729 6760\n1139 9469\n6734 12409\n9819 12094\n298 6906\n5672 7891\n2611 15723\n11632 16148\n1642 15808\n5779 11475\n6358 11918\n333 13007\n9383 10070\n515 2374\n10421 15422\n2322 15584\n573 2975\n5768 17031\n8537 12799\n11005 16821\n2018 16116\n7027 8310\n6842 13886\n7857 15719\n768 14574\n10829 14376\n13814 16135\n10733 11272\n2127 17232\n4958 12568\n3697 12775\n1305 2797\n2781 3821\n6836 16571\n3632 15925\n4648 12687\n5808 14541\n2334 7733\n3425 6753\n4588 14462\n4222 15191\n8712 14813\n5625 16154\n10959 14884\n4623 16349\n4691 13497\n685 2242\n1869 14864\n7208 7355\n426 17218\n2376 9872\n3533 6361\n2931 8135\n11680 13187\n9562 9697\n8126 8591\n7110 10279\n11603 15207\n1770 6765\n5028 5512\n783 16813\n15907 15989\n9501 14630\n1980 15773\n616 17153\n1850 16965\n646 5319\n842 11656\n575 13668\n6497 16199\n3958 14183\n13185 16398\n7494 12873\n2659 3931\n8061 16893\n12537 13481\n7940 9864\n3067 7545\n1061 7586\n12118 16947\n5513 13590\n5897 12570\n1799 4656\n1357 12299\n11168 13908\n637 13330\n153 2453\n6292 7216\n1382 16028\n9432 14643\n10719 13562\n8075 8810\n15376 16182\n4171 14675\n2588 4551\n4083 4287\n3322 7684\n1167 13474\n68 14410\n1597 2747\n4293 16181\n4742 16389\n3812 15420\n5316 6616\n11704 17122\n5058 15260\n5250 11930\n16315 16718\n7722 8376\n9077 15339\n13419 13929\n7003 10793\n1895 3047\n7932 16637\n2778 8093\n7262 9686\n6676 11661\n4634 14255\n7378 13715\n6037 13434\n598 6757\n10936 13363\n6871 13319\n6059 8421\n11603 13617\n7412 7646\n4537 11597\n8816 16594\n1539 8041\n3327 5880\n8079 11119\n7652 13034\n3390 16167\n3518 8807\n10057 12096\n12220 15564\n7989 14425\n11152 15502\n10156 16162\n3379 17437\n616 3847\n6379 15925\n1692 2191\n5369 14095\n7828 14235\n12377 16039\n2137 15840\n14320 14716\n4140 8575\n776 7360\n7965 8298\n2981 11847\n3877 13258\n4288 16852\n7310 10151\n13219 13415\n6856 15047\n3849 3895\n2548 4819\n2155 8640\n4146 7887\n51 16584\n5711 5820\n10290 12054\n1866 16631\n2904 13201\n3985 5569\n7601 11202\n9477 11250\n1897 6017\n4751 17149\n1909 12194\n11015 12886\n980 7849\n475 9849\n2625 7140\n11343 16574\n15084 16845\n12154 17050\n7322 8140\n4923 11520\n3374 9912\n20 295\n12972 13969\n6783 8864\n9127 13242\n17177 17452\n3129 15100\n7188 16185\n9671 10663\n1210 13483\n5569 11926\n1710 15573\n1299 9723\n3384 14885\n16563 16677\n9076 12397\n5955 16722\n2278 13000\n8910 11880\n753 2047\n4568 13362\n2883 6824\n4078 6669\n6989 14184\n9641 16921\n6643 14105\n4674 10590\n1444 7664\n3177 16454\n657 16498\n11126 13954\n1652 14894\n48 15826\n6612 11837\n2375 6393\n15702 16610\n3740 8650\n2321 7467\n2022 12592\n12156 16015\n595 13795\n1515 15431\n2387 14291\n13244 15106\n5514 16784\n2859 7312\n14443 15622\n5317 16824\n12681 13535\n1760 5782\n310 8941\n166 1898\n5827 8392\n542 2295\n648 1293\n10280 13463\n13548 16387\n3981 15538\n5062 7951\n4231 7932\n9135 12300\n7903 16251\n7441 15492\n15054 15465\n13714 14052\n4005 16400\n4293 8874\n6785 14011\n9800 11491\n1557 14271\n8443 14620\n6680 13388\n2660 6682\n1416 3703\n5913 13365\n217 10590\n15097 16206\n5143 16468\n11446 14415\n1682 4724\n8654 15817\n7273 8939\n3950 15794\n4138 9093\n190 3880\n281 12702\n1638 12623\n2744 11436\n2711 6934\n10752 11392\n10285 13854\n5691 14916\n5945 14779\n13640 14156\n4703 5413\n10380 11213\n752 4665\n12946 13763\n8117 11823\n3050 9259\n2348 10770\n13449 17070\n2276 9918\n13273 15924\n11473 12380\n981 10791\n491 9645\n4980 10006\n9517 12567\n13782 16424\n576 12079\n12739 16829\n4858 15670\n4953 7147\n377 1870\n1743 12454\n7708 8463\n1934 4450\n8511 13470\n322 13654\n4331 8653\n208 8429\n14044 14740\n14220 15752\n2133 4391\n1762 13124\n9202 16026\n3714 12154\n4323 8020\n593 13415\n7472 14389\n226 5812\n8898 12506\n1498 11317\n302 14031\n3351 16446\n3228 10438\n7826 13143\n2590 13720\n1576 7513\n5888 12841\n13002 17100\n11797 12092\n3564 13788\n1002 16820\n7939 17386\n10651 13624\n10423 10585\n811 10476\n16248 17105\n12704 13139\n504 1763\n4243 13902\n7951 8296\n9542 13621\n2145 10032\n2785 10328\n1160 7305\n12904 14868\n3975 11769\n3661 11880\n3687 10740\n4170 7041\n1287 15739\n2061 15649\n2722 10122\n511 10731\n11964 15665\n2992 14536\n13635 14536\n16270 16681\n5796 8699\n6746 12818\n11890 15156\n1747 6891\n3011 13242\n11368 17047\n7572 14169\n3445 13631\n6388 10876\n3887 15803\n7439 11392\n6320 10776\n9921 16229\n2739 15721\n6584 7033\n5250 9273\n12225 15220\n3872 15024\n11284 14190\n8342 12053\n993 10389\n5823 11340\n11692 17438\n275 10039\n3699 12537\n7926 12587\n1257 15055\n4366 12197\n5913 8231\n10526 15169\n3052 3225\n10493 12210\n8634 13621\n11001 14011\n14108 17289\n3508 16815\n3657 15266\n3061 16753\n8014 12402\n1519 1567\n1987 10547\n420 8755\n3606 17187\n6308 16894\n12337 17051\n7520 13179\n3929 6192\n17130 17253\n6665 14037\n5578 16636\n11285 15789\n3588 16085\n6059 14942\n3568 8750\n2596 6818\n13425 17215\n7355 17094\n8095 10142\n10944 12806\n15098 15311\n2919 4905\n13389 14776\n3858 4325\n5368 6466\n1323 1647\n2149 4347\n5742 7209\n1624 6691\n5501 14241\n2743 13565\n6931 8337\n4158 12612\n6242 6580\n4600 5449\n7427 16920\n12940 16355\n9153 14534\n3934 11497\n9928 17070\n5318 8813\n270 3533\n2558 3363\n5270 10022\n2470 15186\n10189 11644\n11024 12042\n11963 12285\n3964 15449\n5189 9672\n2555 7591\n6216 16611\n13048 16265\n3312 12906\n1515 12757\n506 4364\n3256 13232\n6457 15256\n2112 8805\n926 2395\n7529 16621\n8443 10391\n14799 16787\n6235 7326\n2987 10498\n1605 3521\n11420 12231\n3183 9886\n13387 16337\n4207 10793\n11970 12937\n6202 11087\n7953 12684\n313 11622\n4860 5861\n6089 16554\n4604 15671\n439 452\n10928 16571\n5757 8937\n3125 11097\n5412 7417\n13364 15255\n8135 9092\n1744 11689\n1192 6915\n117 7704\n9183 11350\n1953 10764\n9838 15660\n7849 15069\n2696 2965\n7693 8659\n5005 7456\n1726 13615\n2311 4365\n6922 11991\n11087 14275\n1246 2451\n4091 15530\n11470 16534\n7526 10801\n2735 6535\n2711 8558\n6267 13471\n4727 16763\n9135 17058\n450 15036\n11393 13001\n10027 16974\n313 6371\n5205 10927\n327 17323\n1239 1958\n193 10136\n2066 13896\n5594 12781\n11735 15546\n6330 6855\n3591 4537\n1443 9051\n2605 15603\n1186 10099\n14548 15287\n4175 7306\n5127 14644\n5613 11319\n67 4758\n7517 13914\n3336 12844\n326 4060\n3535 9040\n13110 16459\n4207 13265\n7754 17078\n5085 17366\n878 13613\n5665 13984\n1164 8432\n8295 11096\n4048 8049\n4916 5369\n6339 8731\n8834 12075\n493 6697\n4930 6484\n5530 14705\n1446 11211\n2295 7877\n10721 16586\n6248 9966\n10446 10833\n1122 7983\n9150 12831\n589 5682\n4313 9693\n2260 9842\n8157 13711\n6680 7527\n10399 13433\n6926 12329\n6357 14962\n5066 12967\n31 7842\n1738 14725\n7028 8066\n1115 9680\n862 14482\n4873 10517\n8136 9700\n1374 1964\n6536 14324\n4056 16442\n5589 7937\n11474 16374\n3111 11905\n3086 8557\n11906 15585\n1550 16092\n8126 8880\n3887 7079\n3017 6055\n9590 12932\n360 14211\n5169 11451\n194 2408\n1531 2357\n5673 10245\n6843 11949\n608 8576\n10430 15940\n11079 14116\n11302 12309\n5490 12505\n10924 13078\n472 11837\n3095 16334\n193 10573\n3420 14545\n844 16661\n1325 15399\n2562 10973\n8295 12351\n11254 17405\n8502 9333\n8058 8769\n3673 11850\n9921 15035\n454 5350\n494 10189\n5196 16346\n3230 9738\n7666 14671\n12724 15275\n7672 16656\n4826 12206\n5673 13488\n6912 13224\n2104 15409\n12389 16299\n6365 10033\n6586 7157\n1799 15112\n14175 15482\n5636 5892\n1340 13889\n8446 16930\n5294 5883\n6093 10898\n8203 9965\n4994 14799\n10066 13215\n9680 13225\n9729 13301\n1369 10753\n14266 14915\n956 15884\n9845 15877\n5501 7618\n3752 3898\n12851 14347\n7518 11114\n2346 13055\n4861 12591\n2274 14690\n7118 10171\n2883 10243\n12820 16126\n14840 14933\n8845 16097\n7187 13625\n7604 7771\n7905 13328\n76 9826\n12999 16858\n12447 13701\n5977 8498\n3022 6615\n5271 10470\n3542 4290\n6176 6360\n3884 14590\n2051 10022\n10508 15034\n5236 5371\n3801 12157\n10274 12222\n9484 17176\n1234 12824\n718 12396\n1447 14211\n5216 16787\n1028 10382\n3197 7056\n10859 11198\n11640 15471\n2268 5776\n5084 7523\n6654 7673\n1184 10787\n1158 14245\n643 5118\n968 9396\n7973 15337\n1308 9389\n10620 13687\n4592 10010\n8711 14387\n228 2065\n4988 5449\n265 7850\n3507 12316\n402 14459\n4175 6737\n326 11456\n12018 12834\n2873 9246\n6156 11895\n4219 8042\n5293 14849\n569 13923\n5159 15425\n2055 9545\n8798 10145\n8002 11493\n13985 17223\n284 6082\n3945 5195\n8948 15546\n1078 6018\n7768 8874\n12721 15258\n4285 8601\n6814 9434\n3564 7656\n14176 14872\n8816 8973\n92 17160\n4840 11497\n1191 16189\n5979 11108\n3896 12673\n3019 14699\n2263 2799\n2923 5272\n1783 2273\n12488 13236\n3437 6502\n375 8174\n3513 6413\n6800 15134\n13009 16157\n7655 11739\n5579 8133\n1368 16326\n170 7462\n892 16539\n10097 13034\n7515 9259\n6288 14239\n1881 10412\n7838 8379\n7773 8627\n703 14240\n3334 16573\n1711 2375\n12319 17095\n5502 9819\n2058 12085\n1264 10911\n6947 7612\n11310 14473\n11174 17152\n575 4969\n6178 12703\n4093 16929\n2865 15134\n7635 15250\n8093 15545\n757 10846\n10325 14543\n9461 13273\n3866 16239\n1947 16147\n2240 12805\n1985 4096\n103 13508\n9394 9418\n7397 7968\n1285 3557\n2094 8421\n6386 16701\n14596 16716\n984 2904\n3868 4850\n8751 9904\n10230 16091\n2816 5015\n2915 16862\n6976 12032\n2570 14701\n5841 15168\n7709 10200\n7463 14849\n4229 15723\n4476 11018\n12208 15180\n4867 15108\n7961 11339\n3179 15030\n10815 14179\n2593 9300\n4156 11441\n1624 9806\n6168 16496\n2712 10076\n968 16871\n3326 16418\n329 4515\n3522 12879\n176 6753\n520 2731\n2943 16823\n1939 6119\n1844 4099\n1311 6675\n236 14314\n36 2780\n2328 6375\n7892 14407\n5413 8340\n8533 12673\n10677 13664\n1482 17049\n12806 13338\n2954 9135\n8480 17342\n9763 10508\n11793 16662\n13 9219\n1359 7401\n14968 15354\n464 4314\n5488 12777\n9725 16444\n2791 5745\n2862 15995\n1226 2909\n2822 4210\n5566 13988\n2088 3912\n995 11604\n3437 8635\n533 14258\n11239 12410\n3012 6030\n6101 8625\n1435 16360\n4536 12035\n4940 15152\n9793 13262\n555 15237\n8751 9218\n11448 14737\n11311 11318\n2793 4539\n91 9883\n3289 10103\n7699 14275\n16465 16663\n6335 7590\n7529 12859\n5017 8779\n1802 12829\n4041 16611\n15307 16270\n1262 10161\n1421 17140\n2321 6351\n11782 16500\n1114 6851\n6301 6969\n1846 14377\n2206 9519\n6679 11171\n8354 15997\n3691 16206\n442 10953\n3202 10603\n6078 14212\n7948 9528\n6743 16521\n3722 5418\n4437 17458\n2152 3497\n405 7531\n4736 15721\n12433 13966\n1809 16388\n10275 12996\n4199 13135\n7209 10723\n7345 7419\n2129 4909\n8539 12674\n2463 4450\n5912 12465\n15154 15338\n6052 15162\n6086 11879\n4588 17324\n13049 14011\n1559 9469\n10599 14050\n1574 2014\n8795 12112\n498 3925\n10795 10820\n2178 10058\n7760 13849\n1035 5382\n2580 4110\n2490 16458\n1864 15173\n2823 3674\n1200 3940\n3472 16690\n6721 9309\n10266 10340\n626 14766\n1409 8118\n9532 14723\n5396 8911\n3299 7761\n4316 14996\n9581 17108\n4362 15307\n4901 16741\n9506 11463\n1091 7089\n3005 17412\n7842 8121\n10573 16924\n6791 8719\n1863 15632\n2908 9589\n3140 8767\n5330 12917\n5837 13427\n9867 17169\n12017 13833\n407 810\n2328 6032\n7482 16536\n10037 11858\n12113 16829\n809 2314\n8262 11611\n4069 13484\n6859 13361\n3308 5756\n12224 13992\n13161 15809\n8196 11046\n8402 10861\n4392 14626\n7197 8872\n1131 16884\n11717 14570\n4735 6461\n5016 5670\n7004 16854\n4650 15586\n597 3318\n523 5881\n6602 11122\n4176 16460\n4870 9967\n3530 8624\n6535 10428\n16566 17458\n5597 10116\n1369 8524\n2657 4738\n3526 13591\n16141 16520\n1612 6878\n4731 11962\n10732 16397\n6732 7886\n92 14043\n723 2647\n2805 12975\n10244 12371\n7799 7953\n3989 10234\n17330 17359\n5013 16878\n6392 7789\n13398 15809\n5917 7572\n7986 16824\n1830 5877\n4525 13151\n4307 12317\n4501 6938\n2625 4898\n1632 8347\n4742 5968\n10681 14859\n2952 17207\n6689 10365\n4915 5034\n178 9496\n9982 13090\n11292 15115\n8052 11053\n319 2609\n2593 3559\n105 6824\n792 13201\n1473 4940\n12555 14814\n1746 11280\n5593 13725\n886 7040\n724 10335\n1247 10188\n8549 10301\n3291 4880\n7408 16594\n8515 11829\n9774 14196\n134 6193\n2093 6202\n1500 5396\n3494 12814\n617 11407\n6195 10675\n2059 12997\n4411 14590\n8223 14799\n60 15382\n929 13183\n1995 6636\n11692 17225\n3996 8365\n5660 9799\n4093 9637\n3357 4443\n4760 13716\n11007 15478\n3575 15428\n3873 14326\n1763 17287\n872 9713\n10790 17148\n14366 15588\n2435 9179\n13860 16304\n3372 9793\n35 11082\n4753 14353\n6964 16950\n784 13678\n12622 15913\n2987 7043\n9031 17221\n529 11193\n3201 13203\n6227 12711\n377 7257\n1517 7653\n4251 10911\n1906 13602\n881 3916\n12997 13513\n3171 7453\n13385 14983\n1074 7402\n5991 8612\n10762 16897\n1735 6007\n1034 2894\n11328 13399\n5480 12109\n10463 14478\n1865 11765\n14291 14345\n7537 12145\n165 5382\n848 10320\n9871 12009\n7913 9038\n3442 15621\n13641 16212\n9522 15651\n3305 13777\n1626 15196\n5406 16242\n13890 14974\n11484 16446\n9020 17453\n4861 11781\n5077 6643\n4707 10853\n2275 10580\n6168 11283\n2937 3315\n5371 13658\n13195 14654\n10239 15829\n2872 5793\n2601 16375\n8273 9560\n5708 10155\n10998 17148\n2636 9783\n4643 5002\n2905 13816\n8576 17125\n10259 13917\n3965 4578\n6551 8597\n1716 6524\n3017 16355\n3090 9917\n7287 15309\n14187 14645\n417 7107\n4651 4794\n8951 15096\n8007 9028\n8381 13323\n2745 11358\n7314 8870\n14250 15315\n1531 12866\n6041 11922\n4518 17448\n5051 14022\n13813 16979\n4375 16124\n2704 14704\n360 3468\n3521 9817\n5418 12778\n6341 10566\n9423 17415\n9364 10605\n11348 17334\n8018 15216\n6484 13647\n4695 10162\n3850 5642\n7472 10916\n8304 12535\n8523 9204\n9860 12970\n7167 11478\n3749 16029\n4768 13363\n9025 11162\n3207 10774\n10761 16161\n7764 10963\n11718 14197\n7759 16896\n3061 8885\n6725 15161\n2306 13640\n1217 1823\n5731 7730\n5146 14170\n4116 5380\n1366 7893\n4787 8037\n5312 14528\n7232 7911\n14721 16555\n2523 8383\n6782 10527\n3228 4605\n31 12607\n1600 14693\n14038 16038\n4495 16853\n7716 10540\n2356 7161\n480 17049\n2922 15241\n8461 9555\n7454 14803\n7155 14322\n6684 6839\n1263 14901\n10404 15329\n4530 6578\n15 10532\n1588 4696\n11290 16884\n2614 17456\n1266 4728\n11897 16684\n2075 14087\n1981 8841\n7676 10750\n12 10520\n2459 7490\n12172 14534\n14663 14882\n7120 7873\n10637 11276\n4119 15279\n1813 9453\n5313 7813\n12154 13074\n6358 15673\n7111 9181\n550 4736\n3182 14079\n2576 4656\n544 13438\n3797 15288\n7200 14356\n7646 15288\n2081 10929\n891 7924\n8119 11962\n7777 10967\n3534 15315\n2348 10342\n274 17153\n10431 14049\n3070 9459\n4968 8029\n1936 16098\n67 8556\n12406 13582\n8977 11818\n2775 3765\n3286 8436\n3145 6567\n83 2372\n4891 9014\n9648 16455\n12017 13985\n1445 14897\n3036 16149\n12579 16704\n14513 17429\n8648 13908\n2327 11166\n7065 7528\n9565 11547\n11573 15184\n3 12788\n4291 4340\n3389 16609\n1939 10796\n1888 4031\n14304 15778\n3140 3174\n9867 15516\n2973 8946\n2109 14548\n960 9024\n8696 9900\n3269 5102\n5135 5439\n3808 15379\n14526 16381\n3451 7424\n1868 13465\n12123 16270\n638 13417\n1564 16689\n9453 13916\n1073 17387\n10426 10628\n15077 17052\n40 6955\n7876 9872\n5172 10757\n10476 14363\n2232 9897\n9021 16058\n9300 10265\n3379 5059\n2484 8636\n2575 9539\n10810 15934\n1046 1106\n95 10405\n5333 6292\n2757 7050\n10403 12665\n3642 13568\n794 10256\n1688 13098\n1442 17366\n3936 16063\n7229 11727\n6301 10707\n4828 14816\n8571 9867\n1585 10120\n5463 11872\n6122 12063\n1733 14069\n13554 17441\n11209 15997\n6313 11708\n7961 9608\n1130 8753\n2115 8021\n1627 14847\n3305 17005\n13873 16795\n7622 10716\n6517 15210\n652 3366\n8024 15685\n3441 4619\n3961 14740\n14978 15006\n7944 9089\n2751 8598\n2785 9976\n2225 4142\n3109 4702\n11294 13266\n5556 17163\n37 10153\n1915 9271\n8187 14952\n8965 16259\n1827 14154\n13993 15183\n11946 14565\n8505 14560\n2962 17430\n14200 17220\n3111 5715\n3038 11519\n8220 9712\n9741 12726\n6680 7798\n4151 15785\n1543 11911\n6157 13859\n1696 13096\n6411 7881\n12892 16027\n1568 6296\n7616 14990\n15286 16886\n4257 14056\n1001 9115\n5736 10402\n2281 8729\n9490 16091\n121 2213\n6259 11613\n402 4775\n8913 10599\n8081 10327\n402 15573\n6029 9828\n316 2987\n3627 10992\n7051 7645\n12439 16430\n11025 15667\n13173 13910\n1894 13586\n7419 7433\n16509 17063\n3617 8690\n8086 16712\n3853 7246\n9792 16304\n3219 9435\n975 4719\n3245 16332\n14835 14943\n7409 14338\n2194 4626\n7468 13614\n10609 10978\n11627 12268\n4759 13327\n1496 8361\n2530 10793\n3597 13843\n3278 14102\n774 4850\n13253 17178\n13612 16325\n2766 12002\n2185 10968\n8082 17323\n11226 15793\n2472 5231\n5002 17339\n9270 16430\n2198 17175\n6454 11269\n613 7616\n33 8746\n13590 15046\n1114 10093\n3493 4070\n2132 7317\n12948 13495\n12642 15578\n3970 12071\n3878 7420\n10190 10832\n7208 12793\n7310 12587\n773 9716\n10693 16881\n3683 9871\n2045 5807\n10925 13197\n8656 15707\n13549 14833\n4444 12953\n13651 15055\n6737 17089\n3867 8930\n857 14654\n2148 15315\n6835 8283\n2947 13136\n1415 2909\n6825 13927\n1699 5310\n719 6983\n4814 11222\n2832 6356\n12143 12773\n505 7713\n10266 14564\n192 8098\n632 903\n2019 13485\n1763 8268\n12212 13287\n7660 8386\n12185 16588\n2808 3609\n2892 14137\n308 6709\n1488 16577\n11853 17439\n5801 8188\n6089 11972\n5105 13464\n6040 11691\n8043 14650\n3296 11253\n4366 7526\n128 5654\n4315 16655\n908 3667\n13363 16450\n4446 8725\n2523 9502\n7687 13219\n8052 14242\n6832 13264\n2503 4133\n9908 11799\n8137 16134\n1916 6123\n2033 8248\n10373 11129\n623 14363\n3909 10413\n716 9592\n4623 15345\n5922 13477\n4657 4661\n14128 15229\n5656 15467\n1990 4321\n12984 17270\n7535 11200\n15136 15194\n3226 12118\n6398 14432\n5815 15263\n715 4267\n1673 7358\n2525 16579\n10053 12788\n1991 16275\n351 6234\n5031 10114\n452 6886\n1793 7551\n6333 7879\n5274 9901\n8270 12014\n6182 8432\n5174 9344\n822 1007\n1223 7541\n1624 16758\n7377 17369\n4119 16393\n518 8795\n1717 5654\n8469 15295\n1739 13093\n2399 12641\n3215 11780\n10505 17072\n4003 4360\n3531 5841\n12825 17362\n572 1406\n4865 14785\n2352 12664\n2887 4797\n6519 16659\n4787 6028\n6980 13014\n8573 10686\n10760 16091\n15434 16189\n2710 11332\n4387 7418\n4235 6605\n1009 15179\n8087 15891\n4593 14030\n13860 16781\n7459 16476\n14038 15856\n3421 8144\n12205 16084\n2318 4059\n3251 5422\n857 15511\n12432 13359\n12313 14717\n3641 8243\n387 3409\n6009 15639\n2040 8636\n9399 15450\n7402 10980\n5247 9348\n4787 8031\n2385 16741\n351 9099\n11392 17009\n928 14773\n7660 14408\n4270 5182\n10164 12745\n10020 15768\n696 4238\n7339 12611\n6088 8375\n2716 13153\n11369 13148\n7271 7369\n4449 9637\n4624 6774\n10384 17311\n10531 12388\n854 11682\n2416 8988\n2468 14452\n1876 6586\n1669 13056\n1313 10358\n361 8190\n11948 12863\n15156 17287\n903 1759\n431 5635\n1504 8527\n2168 8318\n7181 7590\n2462 4757\n2940 15484\n8129 8916\n6862 8715\n5166 12215\n9575 13221\n4961 5393\n4159 11634\n2772 11891\n7854 16826\n4833 8797\n7275 16011\n4119 13342\n6376 14337\n9983 14515\n14135 16409\n13266 13474\n5105 14399\n9347 16852\n2711 6954\n1625 3268\n1690 13926\n245 2563\n1488 3853\n2370 7980\n4539 8237\n8158 16935\n1038 3658\n9623 14256\n11644 13738\n3276 4674\n8738 13297\n1795 14361\n2771 10250\n7938 10888\n10833 11034\n9245 10428\n1411 11869\n6635 12611\n14456 16959\n6175 13306\n9218 13616\n703 3123\n15738 16670\n4438 16841\n7448 13253\n4384 8620\n15121 17094\n10974 11218\n13630 14749\n7138 8144\n11679 16454\n12200 15639\n2488 5779\n4602 10433\n11411 15959\n5156 14868\n9944 11952\n8067 9952\n8714 15720\n6742 16291\n4412 6147\n6665 15129\n5437 8075\n10680 13078\n4990 5670\n1133 17383\n12208 16515\n6090 7418\n8742 11109\n7551 12941\n5249 6608\n10289 12098\n11763 16130\n2843 12138\n2911 17115\n2784 14593\n7202 13779\n2234 11851\n16230 16452\n3210 4296\n1165 5696\n5020 14882\n3183 16380\n7083 7627\n2656 16228\n5986 6056\n1415 4522\n122 14425\n5137 14171\n3395 12104\n1499 6580\n6932 15121\n3833 7496\n4706 14960\n15186 16763\n2276 10149\n100 5566\n355 11388\n1016 4555\n6771 7859\n4514 5931\n12972 15441\n1368 10126\n7824 12345\n3413 3766\n14798 16358\n6396 16373\n1017 2353\n8688 13195\n1940 3684\n4827 10682\n6874 10476\n5510 17329\n5786 10196\n415 11384\n1228 9540\n7533 8380\n4119 11807\n3111 6705\n1039 13732\n8677 10605\n4338 9854\n6432 7335\n13642 17251\n1468 6633\n6460 14815\n2762 15077\n8735 14638\n1186 2365\n7051 15912\n6605 9072\n2203 8771\n2750 15290\n3911 12262\n700 13565\n3544 5525\n10871 16836\n316 8591\n4173 16732\n2201 13229\n14699 15240\n526 1800\n14842 16606\n3278 8576\n7619 14630\n5234 12802\n8847 16186\n5204 14455\n9418 15726\n1734 7585\n7356 12492\n6598 7255\n9466 14382\n1370 15995\n1239 16536\n11887 14632\n3166 8800\n4453 10052\n16443 16734\n13227 15372\n516 7370\n4065 12714\n5058 8886\n4027 7538\n8919 13830\n1727 12941\n6306 7359\n1251 15593\n4757 12721\n10153 11769\n671 7866\n11241 12032\n3057 13365\n8230 8341\n4438 13276\n10572 13402\n1590 12942\n8191 16656\n4557 14579\n4345 12306\n4864 7584\n3053 7695\n9292 16641\n15404 15461\n3887 16125\n11642 13756\n10578 11240\n1281 1825\n8292 14057\n6515 12247\n863 4673\n7945 12914\n6239 10199\n11295 11699\n1796 5710\n4400 5489\n3679 5763\n4346 14604\n429 1738\n5011 11211\n171 7478\n6849 10302\n1384 9855\n9387 17316\n1002 2044\n698 12672\n3998 5623\n3275 6992\n8434 13253\n9817 16813\n12749 13063\n9267 12270\n1072 3313\n4288 12733\n11617 16589\n4500 9287\n4088 8844\n2814 4593\n174 11544\n262 12459\n5604 13864\n9350 10461\n8273 8954\n2486 15355\n13795 15127\n5150 17006\n6278 13878\n906 8470\n3981 11216\n2359 7983\n6360 12930\n3922 8868\n4252 7703\n3022 8775\n3833 12327\n9798 12148\n3570 5184\n10338 15936\n4504 10877\n250 14877\n2042 15597\n10195 16879\n12265 15897\n14311 16251\n3697 16787\n4253 7557\n9252 12059\n13408 15162\n266 9060\n3208 6771\n6121 6766\n3925 8537\n1210 7862\n6051 7319\n4720 13047\n11023 11788\n11022 11377\n7865 9721\n3546 3770\n1433 10136\n1042 1208\n1237 15345\n1710 6577\n6225 6500\n11647 13848\n7147 8383\n5605 6524\n7099 12499\n4013 6555\n1318 2815\n13497 15576\n10560 15550\n11411 11692\n5952 10621\n5385 11561\n3491 13324\n6046 8329\n7217 9329\n8121 11590\n10938 16834\n6153 7904\n7029 14695\n9655 13418\n1408 9520\n10267 13454\n808 3969\n768 9611\n4744 14347\n1050 11634\n1960 14728\n2421 16513\n3788 7162\n2422 16110\n3637 14257\n11011 12101\n939 13177\n9316 13499\n6577 9925\n3515 4697\n7469 12908\n7095 7271\n2777 9249\n6662 12044\n1507 14004\n11249 12756\n14124 14734\n6168 9428\n1062 17115\n2660 6383\n76 5865\n6933 9966\n8836 10124\n3975 12376\n16589 17004\n7115 8638\n2790 16623\n4789 4983\n5042 16111\n12531 13180\n7990 14098\n10432 11338\n4149 4292\n8921 10550\n146 9521\n10210 13662\n10865 14722\n6134 15619\n5321 12127\n5435 15849\n5659 10542\n3874 14604\n10022 15819\n3334 12493\n10968 16604\n4999 13605\n2200 4081\n3935 8304\n4011 10746\n10228 10370\n3913 9464\n5100 11588\n2112 8503\n5793 12194\n5252 7157\n2899 9639\n8644 16945\n7267 13598\n7324 13916\n2648 16914\n2245 5445\n186 960\n4083 15452\n6943 7357\n4042 6661\n8002 12937\n4769 13423\n3419 16494\n167 4177\n16543 17433\n8338 16559\n13828 15542\n831 8184\n8471 12850\n9746 12415\n4329 4444\n6881 12231\n15355 17206\n9721 16528\n3776 5554\n12196 13890\n132 1469\n15325 17324\n12347 14766\n1698 12333\n14409 15781\n2352 5962\n7140 10383\n1520 10141\n4948 13718\n7731 8008\n3385 8022\n8969 9065\n8339 11342\n6344 7604\n2867 5758\n9540 16214\n7168 12538\n5430 13079\n1753 14401\n5097 10973\n3576 6155\n3287 7474\n11729 14794\n9857 14701\n8355 10671\n9200 12785\n3398 4029\n7962 8991\n11453 17202\n457 11610\n8411 15705\n4262 15024\n2716 15030\n10775 16204\n6571 7540\n4221 7170\n14794 15626\n3451 15149\n1389 5486\n801 7099\n1295 14085\n266 14464\n2081 17444\n8706 12702\n4468 9852\n7262 14994\n1041 16251\n398 1955\n2304 2381\n12058 16095\n309 15533\n6570 6897\n3913 7816\n4428 7654\n4546 6530\n74 4135\n5075 10896\n12005 15966\n12117 16912\n8387 14570\n7857 9379\n5940 13023\n7892 13482\n15141 16663\n4398 6739\n4572 10241\n4567 6831\n2633 15451\n361 4728\n3453 10483\n7877 9258\n1301 4380\n3010 13227\n5702 12746\n3131 3914\n1512 5805\n6939 14858\n4465 15952\n10225 11505\n1939 2862\n6058 16064\n5008 13967\n15180 15293\n457 15142\n10678 15307\n6702 14446\n5448 11950\n9592 12417\n10839 11124\n3206 3797\n3897 4071\n714 7222\n7261 14886\n11727 13355\n4485 9187\n9249 16478\n8163 13381\n3178 8395\n6234 8186\n2438 16817\n4794 9198\n1642 3472\n2205 9432\n6264 15036\n3987 15117\n4810 16592\n1509 4044\n10645 12963\n4136 16503\n15257 16486\n13297 13570\n9021 9705\n4060 11914\n9892 12269\n3393 5982\n1201 9624\n5452 9408\n12159 13569\n2958 5675\n12497 12779\n12446 16707\n3434 10751\n440 11922\n8603 16710\n2867 8982\n2256 16329\n7511 13504\n497 5229\n11118 13628\n9627 11096\n13759 14859\n3646 4750\n12693 16461\n164 5498\n3930 15224\n10015 16229\n7678 14409\n2170 6005\n7263 8703\n13433 13882\n3863 16526\n4724 5606\n6612 13708\n3176 7365\n6669 7511\n1546 12862\n15131 17339\n8710 12456\n6645 7316\n4480 8887\n9828 14964\n6468 17364\n5482 12154\n1362 1853\n6262 9415\n4317 10536\n1696 9975\n774 17199\n8345 14412\n454 17038\n2635 17179\n6020 12503\n10515 15050\n8055 13452\n3226 5287\n4196 8500\n1775 3755\n7094 8973\n10870 13798\n10184 15525\n15355 16995\n4790 10361\n592 4741\n13397 17137\n13563 16262\n8335 13838\n6363 13361\n3287 11417\n2362 12710\n14516 16779\n3905 14733\n1755 10929\n2570 9534\n1270 9596\n8980 9734\n10188 14869\n9929 15310\n213 10466\n3096 7258\n5504 8776\n6608 16547\n5000 5658\n7450 12079\n626 1628\n2217 5502\n6804 15819\n3625 13373\n2473 11071\n9347 13555\n8412 15092\n3413 13586\n7558 9958\n1469 14797\n10570 15289\n5208 9738\n1926 7004\n4152 12985\n2178 13528\n10628 15416\n1196 1414\n9441 12935\n4786 15090\n1175 3845\n6344 10917\n7161 11277\n13455 15644\n1062 1399\n5079 11780\n7454 16250\n1831 7705\n3144 10638\n9846 14503\n11186 16796\n6262 8006\n13131 16069\n487 14959\n459 11396\n8991 15336\n5490 17326\n3767 9001\n3367 8786\n7836 8702\n15912 17270\n4424 5997\n15593 16953\n197 5134\n16886 16933\n14004 16677\n4479 8214\n3967 8175\n9414 14591\n141 7045\n1536 11769\n15169 15875\n8094 8660\n3015 3314\n5037 8553\n8265 16826\n3550 12166\n15472 17437\n1338 17438\n8416 11467\n2664 6953\n10103 16119\n12111 14553\n8577 14911\n1957 9912\n722 5194\n7419 10128\n2904 4779\n5126 6352\n6257 7653\n1275 8748\n8870 12055\n2220 15866\n7776 11587\n7313 13382\n269 13991\n8214 9028\n5378 13685\n4061 17220\n5778 7674\n14535 15498\n7124 12902\n3776 5920\n4696 16432\n10995 11661\n2349 7262\n7819 9172\n1363 14367\n4077 4179\n6114 11031\n6324 12643\n3128 10353\n11146 14617\n5606 8853\n15050 16700\n11869 12423\n4267 17137\n13419 14263\n11234 13570\n2713 2807\n8791 11317\n6891 7114\n15679 16093\n2347 9182\n2834 15228\n7595 15289\n357 9665\n616 17257\n5498 8846\n4293 6055\n1759 2208\n4340 4900\n6376 8487\n1106 14261\n1399 10023\n10692 11047\n4533 12341\n2878 9782\n13740 16201\n6983 8427\n5544 5901\n13100 16559\n3206 14689\n8910 13866\n3600 11198\n2354 16831\n5479 8400\n8657 15317\n364 10906\n11247 13941\n1383 9543\n5377 12674\n3769 15306\n3884 4301\n15 16210\n3303 12786\n13697 16286\n3375 12455\n2580 11869\n8597 13031\n3459 10089\n563 10232\n2438 5060\n10417 16498\n3479 16715\n8640 14228\n9612 12745\n6413 16380\n247 11995\n8669 14543\n4683 8642\n6656 16864\n4274 13117\n4641 13266\n7016 9471\n6895 11662\n10727 13034\n7750 15445\n2920 16803\n10574 15186\n13098 14634\n2379 6544\n1673 4958\n8827 10413\n6338 10601\n11893 14559\n6113 13783\n347 16484\n4269 5899\n1114 13981\n1828 15548\n9040 16949\n1300 14076\n5923 13217\n13968 14339\n3250 15681\n11302 15470\n3014 5938\n14681 15352\n5707 16554\n122 13212\n6416 7664\n14262 15458\n421 4035\n112 10572\n6267 12638\n12458 13272\n2558 8050\n7206 9387\n9761 10233\n9303 13820\n7891 13966\n5623 6806\n136 16155\n7394 11603\n7901 11995\n6991 10468\n1043 3632\n6937 14912\n3783 11082\n6266 10263\n6312 12162\n5387 12259\n5089 13943\n6705 16417\n4275 12544\n2398 13825\n2659 11480\n2319 7191\n4960 10461\n486 3094\n7561 12931\n6867 14101\n1619 3319\n14659 14997\n1573 2798\n10658 15753\n206 1734\n10356 13891\n6411 15815\n8688 17172\n1925 10407\n10848 11262\n9411 16697\n876 7468\n7482 16482\n2125 3291\n1570 14576\n13204 13739\n1976 15920\n9959 15084\n115 3788\n4973 8213\n7169 9664\n2899 5560\n6623 10866\n11173 13949\n6683 13567\n5101 13657\n5148 10026\n3183 11623\n1635 14506\n389 8887\n6043 14743\n3158 7241\n658 16987\n5557 16173\n1008 2522\n8142 12381\n3973 7098\n2645 6106\n6752 14320\n2238 4161\n12296 17237\n4843 16942\n7204 9729\n1890 11859\n3250 11513\n11384 15691\n1416 12113\n4058 14570\n4580 13294\n10278 11069\n13581 13640\n5196 5238\n4462 17120\n7189 14845\n1237 15727\n3470 9838\n3995 15859\n1397 5874\n11434 14019\n327 5771\n988 15130\n197 973\n12078 17133\n1253 7272\n8188 14450\n5280 13400\n8977 9562\n1552 16892\n4353 11287\n802 8329\n2468 14749\n9230 14039\n3631 15761\n5148 6986\n1082 11273\n1823 12750\n853 8129\n1465 8581\n8904 17106\n11981 16934\n7937 16904\n1097 14532\n14673 14880\n2766 13406\n2007 17278\n8592 9346\n12541 14259\n899 11425\n461 14901\n8413 16823\n3471 13353\n5153 5885\n2290 3399\n6423 6763\n1358 12410\n3674 14853\n6618 10441\n2340 16973\n7183 12714\n148 10637\n4259 5102\n2536 9775\n5823 16929\n12090 14136\n9412 13561\n5426 7006\n12877 14341\n220 516\n11067 14086\n7436 14295\n3207 15630\n7182 16383\n2821 6341\n1376 12234\n420 16896\n679 8061\n2474 13207\n1955 14499\n13819 16282\n5043 8795\n1375 15932\n7698 11114\n7541 17136\n6925 14620\n3144 14373\n1700 7867\n14410 16308\n6066 16139\n6576 12842\n6701 6783\n8401 11787\n1283 6446\n4549 6881\n4030 9120\n7279 12941\n4100 5337\n3585 17446\n10918 11412\n937 942\n3487 16994\n8783 17437\n6648 16233\n9579 11507\n8992 13975\n917 14131\n7926 13844\n2073 8011\n221 7535\n3741 16505\n7950 11901\n8946 13575\n12536 16655\n2935 15900\n4879 9195\n7543 11248\n14732 16206\n2147 8273\n11678 14971\n15874 15884\n3744 5488\n221 15150\n33 6491\n4656 6841\n498 614\n5687 7100\n1423 9218\n367 7836\n3592 16769\n4708 16858\n3624 8107\n7888 15507\n6760 11567\n5855 11651\n5551 15366\n7205 14637\n1131 7173\n8115 10941\n6917 15722\n10696 17246\n9894 15877\n5925 10248\n3412 10785\n13677 17384\n2093 8848\n13506 15027\n2911 10752\n652 15032\n3857 4242\n8837 9020\n3610 9427\n7937 10149\n6474 15848\n6792 13043\n2248 15367\n7922 11773\n2229 13946\n8368 13037\n12482 17352\n11302 11804\n1130 10190\n9665 14069\n11448 14662\n4001 11673\n6356 12529\n9646 11400\n5838 16507\n9406 12864\n11158 13013\n987 2826\n2855 9650\n1527 4251\n4211 12323\n9686 10916\n4250 15349\n2158 2842\n14090 16897\n3400 7672\n7450 12941\n2931 5121\n3431 10066\n7911 8746\n1619 12595\n5549 9010\n7457 15185\n3829 7161\n1921 2170\n1159 3166\n1569 8000\n4906 12392\n10273 12068\n889 12658\n3008 3143\n6403 16459\n7319 12768\n737 3152\n16050 17070\n6673 7294\n13601 16776\n5210 15407\n4652 8256\n8636 9529\n10864 14318\n7949 9410\n13367 15059\n1787 11691\n6940 14199\n2416 2942\n424 660\n1319 5154\n1869 17163\n6363 9146\n4493 5133\n3470 16990\n9507 13586\n4429 13827\n3183 4536\n6477 8063\n14548 16669\n1130 14616\n4290 13735\n5 1132\n2981 8824\n1706 10115\n605 12378\n4308 15440\n4867 5877\n2514 4709\n8086 16009\n1037 3744\n6171 7400\n3028 16531\n3015 9826\n66 10139\n3583 9031\n1831 5732\n2273 16380\n2416 7305\n3281 7137\n1258 5785\n1199 6631\n47 8329\n1246 7035\n7723 9547\n1000 8389\n15963 16745\n2849 16621\n2881 9552\n3926 10002\n7387 16235\n3425 16107\n14376 15093\n1975 5722\n6186 9063\n10879 16034\n13119 16372\n5401 14724\n9260 15069\n3050 10144\n6243 8458\n13013 17049\n2184 7975\n12922 14169\n10381 16712\n9498 10823\n6473 8578\n12897 14470\n3208 3913\n14357 15274\n6742 9338\n3539 10644\n11541 14655\n12465 15882\n13936 14071\n2679 9797\n7255 14332\n4807 12241\n8815 9907\n2815 12186\n3919 7474\n12208 13223\n734 15167\n11517 13609\n9743 12949\n2585 9266\n287 1006\n3310 11592\n5350 15890\n4624 13136\n9031 16550\n1181 12153\n6505 6827\n13825 14748\n1469 5234\n1682 8540\n3495 13668\n2923 3206\n961 11025\n864 2885\n4966 5240\n4298 8418\n709 3859\n1349 15412\n1666 13940\n13192 17155\n9961 11157\n3480 14732\n7901 17418\n1643 8033\n685 8649\n6859 11802\n10827 14495\n340 10036\n4574 10707\n7630 8193\n467 1142\n6050 10209\n7806 14661\n1999 7209\n10613 12389\n6139 16379\n5401 12196\n9497 15400\n9025 15350\n10650 12972\n3453 10490\n10316 16123\n165 3662\n4431 10751\n257 12401\n11218 14421\n11220 12901\n1505 9585\n9192 14479\n550 8039\n7195 9688\n14544 15785\n2870 6216\n15153 15241\n3063 14950\n1611 10204\n3199 11738\n3188 10829\n11842 15894\n3477 7482\n814 12069\n3318 11095\n5710 11824\n9382 12260\n999 7681\n11712 16315\n6954 9813\n12078 15274\n106 9511\n3437 6640\n3121 12327\n3217 15380\n2259 6859\n2775 12964\n3008 8453\n5709 13552\n8709 12955\n12394 15139\n3883 12735\n11824 15235\n8809 11471\n183 4397\n7765 11280\n2753 14372\n3338 13808\n1266 12763\n1575 8607\n10523 14254\n2497 9824\n5160 12282\n8197 12390\n7160 10677\n5211 12131\n7532 11750\n2399 4680\n1124 6625\n2226 4600\n3856 11187\n3833 13531\n2471 8813\n10571 11852\n8176 13783\n3628 7674\n5014 13011\n5557 17130\n1055 8233\n9466 11173\n1236 9389\n468 15438\n3746 11558\n4434 15863\n6532 8420\n9600 10700\n10132 15741\n1418 13056\n767 3498\n2577 14899\n4348 7269\n1223 9602\n3223 10605\n3854 4108\n8669 13138\n5029 5923\n1359 4503\n6070 6368\n1415 1685\n5668 15250\n2735 15159\n9782 9932\n12856 17125\n2023 9250\n7424 11157\n3057 17050\n5554 15447\n10617 16209\n2557 3250\n745 4527\n981 7142\n15874 15985\n8352 14162\n3224 8141\n7692 12716\n1341 10816\n2041 3732\n6459 13593\n525 3919\n9046 11433\n12116 15346\n2473 10962\n5589 14356\n14284 16407\n6064 9228\n2652 17164\n8319 13751\n8153 12363\n4214 15555\n2837 3276\n1816 12204\n13405 16246\n8241 10489\n2958 2990\n2949 7265\n10605 16643\n4986 15570\n8118 14321\n364 1647\n9456 14413\n2702 4235\n1186 4947\n3432 17334\n3047 3589\n12138 15780\n94 12322\n13516 16331\n8934 12327\n1207 3387\n7954 15482\n10936 13853\n1519 3386\n10126 10907\n9277 17077\n3704 15269\n4349 5580\n11433 12203\n2912 9995\n12265 13937\n6438 16757\n8379 11340\n5520 7995\n3653 5996\n12109 14546\n5076 14997\n3077 14038\n9697 12343\n583 7175\n6854 13575\n879 2418\n2299 8582\n12784 16462\n6947 8395\n6328 16765\n5346 14646\n7458 10356\n724 14066\n11911 13157\n6790 14936\n1856 14597\n4960 15061\n649 3969\n11536 15989\n4732 17359\n4929 10443\n2244 8547\n9142 16260\n4481 10340\n14028 16257\n997 10039\n6587 16922\n1632 5093\n9803 15713\n1812 9959\n11769 14738\n3498 16046\n3579 15471\n8227 9914\n1712 7029\n2289 5373\n16711 16884\n32 6837\n9681 11547\n2335 6972\n1657 12504\n8504 11471\n4001 16777\n1849 11598\n2578 7182\n12685 16863\n2602 11629\n1064 10106\n10519 12834\n3787 9818\n3697 10042\n6839 7380\n9784 11500\n10238 12218\n33 15266\n2468 15644\n383 6844\n11241 15516\n3545 13472\n6053 16011\n1991 9971\n4713 9052\n1059 17103\n6438 9466\n303 5156\n6949 7084\n8873 14922\n4520 7833\n2096 5125\n2620 4009\n8897 15725\n1556 4869\n1550 5175\n1331 15098\n8833 11198\n4972 9132\n2232 13264\n625 2773\n4827 9609\n4185 11506\n89 11542\n1662 14105\n1666 7757\n7215 11698\n15240 15365\n6199 13072\n8312 15526\n8244 12616\n761 7585\n223 7773\n12252 13307\n7978 13102\n8913 12969\n11754 13960\n2933 14471\n5007 6081\n7762 9079\n1145 10792\n6193 8257\n1377 3586\n3788 8987\n11122 14815\n2848 10259\n1282 13359\n3651 14200\n10440 13721\n6466 11042\n1638 7096\n8558 13581\n750 2910\n8910 15096\n2181 4375\n1790 3940\n4740 5672\n5081 5961\n2887 6395\n6806 13285\n1160 3180\n7101 9760\n11875 17457\n10100 11020\n12884 15242\n8354 10215\n986 5648\n3532 13631\n9751 13607\n15132 15488\n1560 4306\n2775 8985\n6558 12615\n4860 16230\n13979 15867\n4505 14688\n1209 10726\n10153 17306\n2354 14542\n1417 2285\n10955 11226\n11070 14858\n554 17168\n8519 10051\n3747 7941\n2589 12052\n8515 9793\n4678 7096\n9112 13285\n594 10285\n7351 14439\n5954 14543\n1091 16639\n14018 15436\n5663 11632\n410 6732\n15585 17014\n12188 16173\n6041 13935\n6439 14376\n628 11336\n15097 15802\n6093 8593\n9367 15127\n11132 15325\n4270 9926\n7571 13478\n12446 16840\n15686 16438\n6408 6802\n1981 4607\n10 4132\n689 15774\n12217 13363\n336 16523\n14498 14613\n3180 12358\n2530 9598\n9523 10418\n10590 16710\n9987 16111\n11781 17061\n2546 14085\n8126 15966\n568 15785\n1992 4702\n12074 17363\n7559 13449\n907 9282\n2266 11873\n9094 14094\n5957 13358\n899 4210\n6966 15852\n5431 11307\n15195 15998\n6620 11587\n4754 17357\n7788 12583\n13223 13532\n16543 17001\n6751 13690\n112 10257\n3670 16374\n5724 11137\n12324 17380\n16237 17172\n9454 16325\n576 9572\n2023 12353\n8395 12912\n6146 9106\n3873 12242\n12159 15944\n3774 6826\n2957 12089\n7027 7982\n15995 16255\n5496 8191\n15557 16711\n2951 16232\n4967 15425\n6774 9574\n1264 11071\n2796 11123\n564 3853\n912 3366\n692 16882\n10858 15015\n5039 14953\n376 7385\n4078 8862\n1025 8398\n8620 16298\n1429 16638\n1674 10818\n6670 13422\n2265 13649\n7484 15427\n7349 14870\n15506 16876\n3736 9155\n11217 12483\n1328 5265\n5389 14910\n14472 16401\n1819 10753\n11343 13010\n807 5718\n2571 13253\n5820 7285\n8119 16214\n5358 13050\n824 9167\n3041 13838\n1776 6197\n3046 14070\n9869 12508\n8341 16358\n1223 17264\n4470 16443\n5756 16605\n3631 12689\n10754 13626\n902 7600\n7759 14567\n125 15110\n2532 5664\n14489 16196\n9756 10526\n168 14270\n3460 14825\n10111 12894\n440 9997\n10268 12985\n9030 14545\n12038 14176\n496 6765\n10218 10836\n4881 17006\n4456 8757\n2092 2173\n1025 9433\n5975 16707\n2826 9985\n8731 15125\n1143 11197\n11870 14936\n7 6815\n5936 10831\n7454 14889\n1782 9582\n2184 2301\n3239 5343\n7323 10736\n30 10276\n8627 14019\n16845 16893\n6640 7731\n5733 16927\n3575 5683\n12966 14094\n693 16264\n3628 4297\n4690 14488\n2823 15029\n8079 11674\n15747 15911\n8339 15418\n9339 10197\n3785 4300\n9977 12864\n6136 13744\n6744 11790\n13260 14156\n195 12523\n9874 15458\n10369 12959\n14118 17183\n6988 16958\n679 14851\n4194 4949\n9321 10744\n3734 12375\n2241 16694\n7380 11356\n8760 12929\n6141 13522\n4111 17029\n17120 17299\n665 13942\n6990 16554\n3048 7429\n270 13525\n3673 13990\n983 6284\n2402 8177\n4392 17080\n3642 4269\n121 7939\n3110 13504\n15020 15803\n13288 16999\n5036 12491\n5009 11962\n4835 10248\n8842 9688\n8232 14534\n8746 12317\n384 3254\n8313 15416\n5746 16123\n3559 7973\n3739 4387\n917 12066\n413 13214\n597 2721\n4704 11021\n4836 9376\n10664 16036\n2498 13746\n11119 15691\n5064 15751\n2749 11384\n350 1240\n12143 12999\n6828 12094\n1023 11001\n3367 14835\n8076 13955\n2127 17315\n260 6541\n3834 13015\n15295 16937\n1154 12693\n11497 13780\n5692 14678\n1474 8576\n199 3364\n15644 17166\n324 11369\n1 11093\n7356 7360\n8948 10004\n2037 11731\n10114 15124\n16227 16879\n5801 12983\n7456 13508\n4670 14035\n14520 15313\n9027 10101\n7770 13987\n3793 16264\n5384 6992\n3093 3716\n10492 10884\n3050 12992\n5779 8649\n2095 12396\n6187 16055\n3909 5651\n4661 8378\n5442 8237\n1544 16237\n11725 14092\n9402 10027\n3960 14645\n12409 16415\n9619 14679\n12956 14670\n4778 10173\n12401 13498\n13394 16197\n10516 10813\n2607 8863\n5280 16805\n1392 11170\n10085 14365\n1266 13727\n8201 11032\n3280 4844\n1654 5813\n9232 15088\n89 9196\n2226 6775\n7629 9569\n3624 7468\n3724 12969\n2116 2928\n3059 15434\n7774 8484\n4048 14081\n184 13092\n4176 4726\n2414 9731\n5083 17417\n11029 13026\n1171 1454\n5446 9246\n4929 13951\n14033 16076\n14356 14733\n3428 3524\n12867 16061\n202 2474\n12583 17128\n4166 10797\n2085 14575\n12675 13981\n4855 15701\n4219 11600\n5944 9265\n4999 13791\n3681 14974\n4024 9786\n1347 4309\n7449 8095\n2140 3777\n3158 7157\n1806 13323\n910 13134\n4736 13555\n3276 15602\n5048 11237\n15997 16106\n443 1533\n2542 10110\n12234 17428\n1043 5454\n9392 9689\n6833 7072\n746 14524\n1742 2626\n5137 5668\n10676 15391\n15517 15544\n7352 10126\n4389 12754\n2741 4841\n6278 10715\n14098 15423\n14639 15803\n6626 7233\n3833 11446\n13397 16117\n858 8548\n4613 17034\n2268 16705\n8481 13317\n4757 7857\n4908 12379\n10702 13471\n8077 11501\n3215 9016\n115 4088\n1310 2392\n1248 1461\n1781 8023\n1779 4971\n858 15259\n4415 13070\n8653 12908\n1705 14973\n4175 11449\n7942 13834\n7015 13779\n7733 15142\n360 16738\n5278 12703\n2772 17089\n10123 11918\n11620 13659\n7041 14883\n13677 16406\n12686 14026\n9021 10147\n7044 16545\n11739 15242\n14842 15584\n10002 13423\n2123 3253\n6414 12281\n7895 13076\n524 9089\n6356 16025\n9909 11523\n4762 15397\n4449 7591\n15769 16426\n1308 14006\n3893 4569\n8999 10960\n6667 8435\n2027 13125\n5129 6009\n13583 14392\n4866 16576\n8151 13649\n1833 8815\n2132 2497\n5064 16910\n1864 12459\n540 3423\n2001 14472\n2303 7842\n5584 10819\n10563 12002\n6730 16595\n1203 15346\n3474 13198\n6158 17413\n6253 17016\n1192 5113\n528 10044\n1007 4557\n5790 7929\n14426 15559\n11525 15056\n2374 2613\n369 7106\n3908 15793\n4063 10989\n3128 15752\n4220 5259\n1113 11120\n4229 8501\n1592 9646\n5283 16472\n4346 7788\n9459 16531\n12987 16409\n4913 8018\n7005 17080\n3814 12582\n2078 11053\n3335 10253\n10795 13462\n6552 15224\n2512 12763\n14001 16027\n9499 9637\n3290 10773\n9913 17019\n5380 8275\n10594 16916\n2173 17005\n1953 12632\n6877 13025\n832 6851\n1267 15728\n754 7172\n3316 11816\n4174 15916\n11432 14963\n702 14868\n551 6460\n2153 15409\n9274 16440\n1099 10037\n4200 11606\n11222 16974\n4026 8066\n12199 16081\n11936 15763\n7532 15824\n156 16437\n9698 13527\n5040 16618\n7387 13853\n4303 10658\n11758 17162\n7719 14302\n8424 11950\n12 14731\n7551 8924\n4963 10814\n7177 14740\n5616 15917\n8515 14894\n12929 16801\n6906 10196\n1462 8055\n4089 16567\n7103 8249\n6178 14720\n9711 9764\n3728 8674\n417 8140\n1075 11580\n6067 11029\n2123 3573\n6536 8381\n14969 16676\n12383 13844\n4547 4824\n9088 13701\n8892 14092\n11301 14102\n1052 9069\n149 5011\n6201 7958\n1313 13205\n12286 16517\n3799 4579\n4888 7622\n13362 14009\n10896 15576\n2003 2622\n10581 14911\n5185 6723\n5522 17032\n7509 15153\n6644 11408\n10176 13286\n5893 15002\n6811 9486\n9940 15334\n11607 11883\n5159 6634\n11374 13573\n8702 16315\n8508 16674\n736 8884\n11022 13345\n11134 16603\n10578 15605\n6336 8619\n4703 17101\n4178 16589\n6835 9475\n1725 13760\n3186 15505\n956 4629\n10523 16691\n118 3624\n5873 9651\n3491 14282\n7483 12565\n13192 17174\n4791 6490\n6533 12606\n17336 17385\n10119 13186\n5364 12076\n3629 12624\n5076 13716\n5925 13554\n5323 8084\n2845 4218\n13936 16779\n8002 9982\n4050 11314\n196 16758\n8109 13560\n8964 12564\n3932 14915\n14211 14961\n6376 15107\n415 7241\n10502 12899\n4683 8460\n12025 14923\n2102 8407\n10393 17208\n5505 7609\n9277 11538\n8191 8801\n113 14435\n2413 2474\n11206 13626\n13249 14621\n1277 2818\n2637 5646\n10131 16229\n6156 15232\n1035 6725\n83 5288\n9349 12447\n2661 15185\n2445 15555\n788 11251\n4642 14845\n7005 9379\n15147 16183\n10536 11161\n6438 7810\n2626 10969\n6054 8070\n4822 5209\n12971 15236\n4179 13642\n799 10298\n6931 8885\n6816 14306\n80 13004\n2300 6196\n3754 10973\n13681 14236\n10675 14196\n30 10157\n586 8756\n2857 13675\n9885 15167\n2824 13437\n15885 16014\n1096 9962\n5447 9284\n6393 7038\n6388 14966\n8885 16868\n1052 5015\n2565 3927\n464 4144\n5376 14685\n16367 16671\n7924 9388\n5161 10530\n2841 7702\n12152 14724\n2384 5268\n3937 12301\n7525 12920\n11291 15593\n1072 2845\n3115 12916\n10507 14957\n6318 9723\n9353 10585\n3325 10971\n10775 14481\n11184 15212\n1510 11582\n5235 5805\n13625 16353\n3650 7541\n6655 16198\n4710 12413\n642 13384\n5312 15968\n5665 14919\n12709 14175\n3214 9673\n5049 15467\n719 14405\n1880 4025\n8568 16407\n5030 11959\n987 10140\n11149 12042\n382 4468\n13731 15808\n1445 9344\n13639 14035\n2081 9407\n7585 12570\n1253 7488\n499 10196\n3573 14748\n2898 13828\n1174 17093\n548 4467\n3887 13543\n4557 15282\n241 17068\n1922 11542\n3712 10071\n119 3494\n12492 13226\n11855 16457\n1014 11201\n1318 9792\n10823 11067\n12658 15413\n6401 15923\n7478 14839\n1686 9674\n5301 7873\n13212 15252\n4693 7648\n3000 11890\n7971 16439\n8795 15801\n12105 14017\n1590 15820\n7445 8584\n3628 9060\n6668 12818\n4308 9649\n8697 15597\n3272 16617\n6684 9560\n4362 14143\n13127 16095\n7067 14259\n4662 14590\n9433 16381\n3220 16980\n11612 14727\n4299 15198\n3220 16386\n2418 17291\n535 13108\n6458 17260\n11725 15454\n583 6635\n5076 9920\n849 9497\n11040 17442\n1548 15396\n6604 16801\n10013 10505\n1130 11150\n6354 10115\n11036 14624\n10294 12797\n870 11462\n12461 14321\n3444 12434\n7676 12546\n15913 15923\n7881 14714\n1328 8164\n9208 9879\n6783 7612\n1812 3457\n10303 12950\n6012 14962\n4682 5569\n2097 15419\n2939 16841\n10604 13902\n1164 11620\n2504 8902\n4758 15354\n9015 15982\n9927 15370\n199 14061\n14979 16867\n5803 10289\n12271 15214\n307 8233\n1928 2759\n6546 17022\n8494 11577\n13824 14174\n6742 7316\n3129 11623\n7762 12842\n30 11461\n1090 6743\n3020 15194\n1161 15178\n1886 11236\n7789 13558\n12596 15025\n10708 13503\n12686 13907\n4803 12580\n4684 16094\n2406 5167\n2001 14856\n13589 14273\n5496 17134\n687 16024\n6494 6971\n4702 12233\n1820 8954\n1658 15809\n2652 6815\n4624 8791\n7843 7950\n14565 15724\n8162 13727\n7742 9822\n3990 5755\n2554 10373\n1284 17301\n345 2327\n7454 8497\n3697 11658\n14333 15460\n1755 2683\n13698 17129\n4430 16045\n8318 10805\n5407 13366\n12264 12671\n4382 9765\n3153 17344\n4882 11058\n10954 14609\n8995 14006\n5530 16823\n251 17381\n3366 6036\n7904 12308\n1118 15974\n7175 13438\n227 12705\n9728 10700\n8157 13522\n2495 4642\n6033 6103\n4954 15810\n136 11134\n5967 7050\n3002 5773\n14970 15401\n5582 16001\n6910 14803\n4539 7568\n6404 9604\n2851 15100\n12033 17090\n3309 16725\n271 11834\n1925 4355\n6737 10670\n9374 15637\n3315 12603\n11603 15960\n2695 15222\n1662 4254\n13140 15785\n9261 12154\n3053 10018\n3017 10327\n9534 12495\n2155 14883\n1741 2376\n8414 15985\n1007 6821\n2006 6380\n8789 13624\n1029 6537\n3466 4139\n6442 8780\n12951 16147\n4004 4637\n8403 12748\n2778 4002\n1268 1887\n6356 14403\n3279 4425\n436 514\n1589 4158\n40 13851\n1438 5597\n3146 7715\n5915 8813\n7007 9899\n794 8720\n674 6306\n650 9118\n5710 6666\n11087 15962\n6130 14565\n9895 17417\n7089 10119\n4321 17406\n4134 15850\n3519 4990\n10901 11486\n8291 12296\n15203 16226\n7174 12538\n2445 5576\n3508 9875\n12083 13350\n15064 15540\n6131 12532\n1088 8473\n1864 15729\n2396 10145\n6410 12398\n2619 5200\n9466 16749\n2220 10641\n15846 17264\n4954 16540\n14358 14528\n3169 5457\n8407 11643\n11386 12308\n8209 12641\n5012 17029\n4442 5765\n5124 8617\n11301 11967\n14399 15350\n1801 14306\n10930 13033\n950 1714\n3901 9472\n3048 3791\n3329 6996\n1905 11394\n1816 9606\n52 13425\n11716 13278\n283 7027\n509 7589\n283 11778\n8482 15656\n4733 5510\n10207 13766\n10276 14717\n3981 9576\n5277 16799\n3955 5873\n1963 5017\n8093 9139\n1376 2006\n576 13305\n9925 10908\n6059 12728\n6800 11706\n2726 8119\n4127 11199\n3890 5897\n2221 4707\n13769 14731\n12247 13040\n923 15425\n2102 5199\n1618 15468\n6110 11184\n4935 9162\n749 4666\n9669 10127\n3872 8854\n1262 17379\n36 2400\n3216 6542\n370 13257\n5489 11176\n1545 5817\n287 17179\n10272 13552\n3765 7849\n7471 16533\n237 5147\n6715 16236\n2493 10717\n954 10786\n10535 11960\n463 5580\n7997 11782\n6584 7742\n4394 12980\n9800 15508\n2883 4959\n9829 10972\n11069 16837\n2137 5975\n3333 4809\n5711 7217\n1042 15286\n4156 14941\n7503 8747\n8566 16767\n10632 12236\n10179 16453\n6444 14779\n13267 16795\n1035 15092\n7103 10194\n5376 6480\n13893 15551\n1343 5719\n5929 9917\n434 5637\n13423 17229\n12078 16223\n4711 16510\n1608 17397\n3832 11051\n5186 11985\n1402 15356\n5016 12226\n13185 15519\n10284 10852\n698 15371\n1109 3743\n5521 15028\n8955 12320\n4151 5441\n2344 4176\n3386 10797\n8153 8818\n6585 12542\n434 9608\n4731 8158\n6037 16379\n10151 10609\n10743 13101\n3454 15505\n8596 9934\n1960 12016\n5753 8334\n795 10793\n5821 14399\n8557 17387\n12269 13508\n1833 5003\n427 6105\n3449 12433\n326 6820\n742 3005\n4742 14666\n7260 9180\n4403 9055\n188 1811\n1393 8499\n1164 9153\n13757 14381\n12817 14675\n6010 10444\n972 5517\n1831 3419\n2280 6877\n9350 16271\n5338 10839\n3112 7400\n7146 11389\n11101 14903\n4807 11681\n3755 10801\n779 1791\n5392 8272\n6282 14643\n3176 13870\n9823 10711\n8879 9552\n1938 10360\n2000 2411\n2039 13158\n7225 7339\n6556 9742\n1205 12062\n4110 16530\n2601 8183\n1616 15642\n6253 11271\n2340 6547\n430 12057\n3198 8053\n14256 15364\n8147 10303\n6698 10790\n15302 16485\n13827 15707\n6506 15316\n12191 12512\n10921 13385\n5238 6902\n1419 16802\n13333 16541\n647 16186\n2671 14854\n6984 8716\n5057 16504\n9762 13202\n883 6682\n3682 12475\n3503 8428\n11199 13927\n4260 12153\n6393 14906\n15132 17141\n3841 6869\n10282 10850\n3273 10634\n7290 14221\n1299 15736\n12032 13326\n8779 10681\n895 13615\n9325 17418\n11674 15684\n8777 16868\n5145 6960\n9028 14858\n787 17207\n15549 16107\n2105 8397\n244 5304\n1445 12052\n7018 9930\n9236 16868\n9597 14905\n11914 12285\n9937 15042\n5207 9097\n6445 8097\n10887 15026\n5795 7602\n1311 2332\n13508 15960\n12305 12366\n2992 4097\n8543 9018\n3884 14704\n1279 8756\n5926 6064\n2341 5632\n25 12314\n2658 12364\n4888 11095\n1341 14192\n8142 8500\n10396 14197\n2365 15795\n1231 8590\n3330 6978\n10762 12225\n3667 3801\n4785 10649\n7467 9035\n353 13621\n348 10333\n10032 11850\n574 3768\n10173 15300\n3834 10848\n107 2326\n5878 12466\n9897 12936\n10296 15473\n3436 12404\n2728 15095\n6245 7032\n4912 6075\n1000 2529\n2542 10999\n6433 16442\n2889 7061\n7254 12439\n5047 9362\n835 2559\n3982 13642\n9186 15756\n6042 6291\n7517 11767\n614 16321\n15071 15705\n4049 7682\n4493 15009\n2076 13465\n673 11534\n7948 12372\n4335 8886\n2105 15043\n9451 11256\n1015 3282\n1960 8750\n4567 13242\n16334 17389\n6442 10427\n6663 11168\n9234 9546\n13301 14476\n907 15875\n4696 12893\n16649 17307\n13377 13489\n5829 12067\n511 6431\n11645 12818\n4584 16544\n1807 2201\n1429 15873\n1964 2661\n6497 12066\n238 9643\n8357 11532\n8459 9269\n10708 13930\n13875 15494\n463 4276\n6940 16820\n5058 8015\n8356 12530\n1714 2475\n7178 13781\n9449 11568\n2393 11824\n439 12356\n2576 2829\n1890 12957\n3980 9707\n13204 13830\n3453 5489\n4049 7605\n13054 16291\n4029 9722\n9978 12992\n1777 6229\n6055 7704\n1224 16340\n8571 10708\n14180 14971\n6829 13393\n1919 3951\n106 6516\n7491 13536\n6573 15842\n5563 14490\n2621 5060\n1642 8197\n5717 9138\n5738 15807\n3785 9464\n5511 16235\n6377 17217\n4249 13162\n4170 4782\n5174 16685\n4251 7305\n10915 13876\n4488 10583\n2637 8839\n8361 17273\n5643 15854\n8915 11935\n667 795\n5314 9404\n4161 10347\n1473 6221\n4915 10808\n5031 6243\n11780 14690\n3984 13520\n288 15843\n8240 11937\n4410 12269\n4678 6506\n9230 13133\n3 14815\n2631 13733\n1369 4701\n3835 16614\n1394 16868\n8956 14403\n13804 13813\n12299 14376\n3764 13465\n5023 8524\n8747 14328\n7302 10217\n10984 16443\n10290 12245\n8332 14532\n629 9165\n4063 5303\n278 16627\n4764 10915\n688 13910\n6092 6956\n14567 15267\n9716 9839\n540 3928\n13599 13606\n441 15477\n7508 7904\n11258 12770\n736 4118\n1031 4068\n92 13176\n6990 11155\n8067 13934\n11457 15527\n585 16388\n3580 9704\n7888 8234\n3962 13215\n1864 2188\n15216 16796\n4063 4759\n7364 11857\n1511 13502\n6435 9440\n3267 7519\n4292 12200\n212 4704\n11891 14807\n4028 5300\n6606 12296\n1479 6717\n2420 13972\n8205 14998\n5103 7401\n16420 16542\n10314 14468\n4674 6012\n300 5516\n300 4103\n16198 16323\n5077 5213\n1752 8354\n11946 14827\n10268 15027\n9244 13444\n5788 15921\n10693 16101\n228 5035\n3640 13065\n12050 14177\n2192 10109\n11512 15574\n2753 10626\n5603 12031\n3953 6833\n10550 12425\n6753 10436\n5254 13758\n2347 14821\n8532 16739\n6044 14328\n3513 12744\n888 2804\n396 9730\n7969 8672\n1544 5811\n1347 3581\n2664 8773\n5136 15800\n15125 15888\n6691 10894\n16115 16808\n8040 12193\n9230 13743\n791 10581\n7694 15962\n3610 9853\n1054 3275\n5947 9061\n5309 11492\n5896 15453\n4312 15606\n13997 16392\n1078 7316\n1211 3846\n3601 13191\n138 9794\n10487 16999\n4530 12202\n5922 7382\n5337 12562\n5303 14944\n11690 14576\n10424 10932\n7691 15332\n2866 5174\n227 354\n9380 9900\n12315 16311\n2326 3726\n396 7432\n2269 13566\n6574 11308\n2971 14891\n10047 11807\n1325 2155\n4989 14509\n753 16414\n6436 8523\n11014 12660\n11501 13932\n9811 16339\n7506 9256\n7613 12792\n8701 15181\n11696 14453\n6961 12362\n12141 14265\n883 10867\n4092 10032\n1762 17443\n917 6184\n2812 15943\n10084 15100\n6898 8769\n315 13902\n891 7358\n6359 6741\n517 14589\n2746 16684\n3951 14178\n2192 4613\n2781 6817\n433 1118\n10146 11058\n11017 13142\n16942 16946\n7368 16452\n3543 5015\n5257 10113\n8659 14252\n12957 13541\n4569 5142\n3013 8604\n5355 10850\n7682 10239\n183 4358\n1318 10249\n4069 11885\n5845 14295\n11487 14291\n8321 13658\n3376 7277\n3849 9714\n3227 15455\n3462 12979\n7376 8762\n1382 11470\n12706 15326\n8864 9508\n8161 10566\n4089 16099\n7012 11957\n4337 9666\n1962 11162\n10230 15382\n11265 17451\n8222 14733\n91 5643\n8757 15057\n6457 7685\n7617 8738\n3053 9091\n7053 13166\n7370 16535\n4267 15448\n2097 11864\n3898 5227\n8553 9680\n6703 9436\n14240 15403\n15268 16358\n250 1553\n968 3577\n1287 6270\n5289 9324\n7906 11895\n9082 11071\n1974 10479\n1312 7536\n1962 4665\n13305 16643\n3088 15002\n3144 17040\n8394 17316\n3286 9021\n6596 11004\n2277 3073\n7852 8233\n12872 14542\n4814 6489\n8127 17093\n1134 8582\n5651 8744\n3543 4475\n10596 14420\n1435 3134\n2447 13016\n3780 16633\n10792 13353\n2281 11572\n3201 7427\n9687 16051\n6072 6196\n1625 12274\n14345 16267\n1184 9525\n8421 16627\n9191 9358\n15461 16172\n11074 15009\n6540 10263\n10256 14960\n3059 10545\n8564 16539\n1484 5858\n692 997\n2679 11582\n3233 6359\n11888 12620\n3135 15944\n1301 4533\n6849 10306\n1475 5760\n8554 13147\n5864 9363\n82 8721\n7225 7603\n3729 15369\n3218 9379\n4782 11495\n1314 10617\n66 13074\n8756 12017\n3452 11907\n6576 11012\n606 16873\n9112 12926\n4644 13452\n8504 10121\n4283 7231\n5134 6231\n10399 13564\n740 7384\n589 8975\n2135 16078\n4554 14370\n2750 4749\n7032 11860\n454 8627\n11900 13218\n5065 16182\n687 6519\n1458 2074\n3392 4439\n1764 6496\n860 7742\n3857 7412\n7945 16585\n6789 12805\n12318 13412\n1256 3375\n7393 8160\n8189 8437\n4 6555\n8940 9462\n3234 8094\n14666 17422\n3601 8378\n6839 11631\n1241 13434\n5766 16136\n1551 9091\n3499 12986\n15286 17198\n3230 13719\n3628 4264\n1296 12565\n1936 10983\n1896 4279\n3819 13581\n1127 7391\n8524 11611\n12462 15929\n6505 6699\n3756 13058\n6759 12504\n6283 14820\n10167 15432\n10225 12018\n15744 16050\n13076 16174\n4177 7849\n1616 9320\n15767 16020\n427 8799\n5161 9696\n9071 16817\n9435 16751\n12718 15883\n13425 13873\n2605 10737\n4791 7999\n7299 8040\n13020 15330\n13881 14392\n3706 15364\n10917 14283\n10452 14214\n10936 11639\n5918 9122\n13268 13798\n642 13865\n3355 15551\n15323 16227\n11987 14362\n3866 10672\n4197 6908\n752 2835\n5876 15991\n4881 14098\n7074 12304\n3391 15712\n817 5809\n261 15500\n3696 7304\n3618 7071\n16254 17425\n791 10903\n3090 8919\n3185 4558\n952 11043\n452 16477\n9281 14065\n6461 12376\n2844 8621\n3657 7404\n12173 14279\n2603 9708\n12799 14414\n5487 14939\n5812 8592\n1983 9497\n950 8430\n1019 2654\n3098 15515\n8898 17275\n3126 9796\n7970 10393\n6261 9804\n8446 8946\n4061 15917\n540 9005\n1836 16368\n3431 13469\n4804 13744\n5667 15165\n2796 6045\n8540 16634\n3254 10642\n8367 11536\n6130 12793\n1489 17296\n6140 13995\n8384 9797\n3695 4416\n4019 16474\n6375 8405\n7495 15998\n12412 16944\n5838 13185\n15018 17402\n11327 11814\n1130 14117\n6891 16004\n1413 4472\n6551 11564\n1326 9846\n1087 15196\n8644 13163\n2635 14605\n9007 14631\n7050 9990\n6309 17418\n1465 5829\n8382 12747\n10634 17252\n14632 16315\n1219 13373\n11726 15882\n8618 11640\n313 11991\n4227 7389\n1328 2385\n4387 10663\n14930 16732\n12745 13439\n3241 13579\n4148 11504\n9775 10614\n1331 2773\n108 10582\n2111 10695\n3235 11828\n11762 12774\n9734 15697\n1229 1659\n13291 14906\n3466 12095\n2675 6602\n10529 11350\n404 15408\n5167 8459\n10921 12212\n2846 5496\n3644 5081\n468 16110\n5482 9305\n5230 8792\n2112 17410\n7703 15349\n7496 15916\n1456 6162\n10101 14673\n2204 10712\n4245 9458\n11574 15941\n1115 17202\n2645 10002\n4753 9760\n1753 1940\n13153 14787\n4030 12092\n1707 10229\n6048 12328\n101 17117\n1406 3745\n1731 8981\n2675 14418\n3264 5046\n5079 11699\n1886 14013\n10250 15657\n4986 15906\n5115 8128\n1328 16236\n955 12323\n9911 10514\n2885 12647\n3945 16299\n2769 10679\n86 4403\n1483 12289\n5466 12127\n1991 16859\n9371 15476\n3472 14217\n5734 12824\n4449 17020\n10175 14962\n2130 3717\n145 4084\n7489 7966\n6220 15650\n2260 6063\n1487 4193\n3006 6375\n14796 16427\n3474 4777\n3668 8954\n7870 16376\n3425 16276\n6934 14487\n5694 12348\n1676 11620\n4319 6323\n8665 14090\n5997 15693\n7291 12054\n1702 7370\n12004 14999\n9652 11353\n906 9670\n13045 14383\n10407 14312\n187 15098\n2859 11424\n5310 5671\n13988 14467\n4773 6422\n8448 11359\n3308 11440\n10402 16609\n8594 10702\n11829 14345\n2165 9573\n2914 15719\n1748 11371\n2968 5978\n952 7346\n4853 5760\n11860 14587\n1150 5822\n10061 16258\n5230 14178\n8045 14572\n2312 5373\n13376 16227\n1724 14937\n9350 13963\n3695 15045\n2222 13926\n8928 12180\n6036 6437\n10947 11678\n13180 14207\n15136 17447\n6830 9401\n1419 12803\n10121 10985\n4921 5832\n5030 13534\n9361 13768\n2342 7655\n2996 13998\n8291 12574\n2237 5914\n9669 12384\n3678 12428\n10656 15535\n2939 17422\n4178 7522\n12066 12715\n14819 15574\n6398 7900\n388 16301\n7095 9312\n8425 15831\n4988 12065\n7861 15104\n8961 9126\n10966 11478\n4079 10970\n7821 13875\n969 2352\n1565 4821\n4218 4743\n1894 16245\n1202 2886\n7213 7286\n8784 16707\n9153 9458\n7671 16466\n3815 12412\n3819 7338\n8974 17138\n6769 13710\n3646 11605\n4913 12810\n1871 3192\n7847 15073\n15552 17309\n5398 13041\n3958 14095\n4351 5675\n9651 13721\n2576 5995\n10080 16395\n1369 6983\n4315 13046\n9069 16370\n5244 7751\n9907 14105\n5129 7832\n551 14251\n152 14556\n263 5224\n10980 15768\n12764 13833\n3441 7626\n13186 13473\n10500 16451\n3215 12321\n4530 6936\n3503 11619\n8149 14368\n15427 16630\n13565 14547\n8533 17400\n4261 10771\n2563 15737\n6909 14935\n4658 6957\n5888 13417\n10963 15616\n3321 8949\n3614 4480\n11447 12461\n6521 7107\n12045 12125\n11923 15487\n9020 15040\n6818 17113\n7724 14322\n8748 9674\n30 13087\n223 11241\n2996 6103\n2979 8754\n5123 12353\n1868 9545\n1520 13278\n1180 5453\n7731 12132\n3522 14707\n3387 6185\n9494 15443\n744 16557\n5964 10954\n3862 6007\n10498 11512\n443 12293\n5627 16614\n6721 9741\n11030 17159\n359 10093\n752 6434\n4678 10101\n2277 10016\n10822 13441\n4915 11685\n7280 17044\n389 1022\n3463 8221\n1343 14656\n3046 14525\n1192 13923\n12816 15921\n10028 11754\n4038 7426\n4295 7629\n3062 14512\n12784 16420\n5697 17170\n11802 12648\n6382 7577\n4580 14076\n1700 4737\n10135 14553\n2160 14152\n3145 13687\n5583 12904\n7115 7349\n4253 8546\n3332 8932\n12290 14128\n2726 5565\n1383 9319\n10777 11624\n6472 13355\n8026 8140\n3146 4428\n890 17046\n4635 11208\n15391 17460\n10613 12612\n10683 16295\n4906 14663\n8222 14118\n7242 10427\n4209 15693\n11481 13930\n4675 9136\n3794 4029\n1147 15638\n2489 17132\n1154 2820\n1198 4175\n1689 9326\n15614 17315\n3326 13925\n1726 9022\n7031 15869\n6605 15454\n10387 15183\n2202 11556\n10955 16600\n652 3929\n7167 8891\n2050 10822\n6767 8718\n11135 14423\n2211 13087\n1435 16767\n6548 12500\n8497 16526\n10801 12972\n12728 15686\n2470 16596\n12396 15488\n1437 16164\n628 15710\n7067 17236\n2169 11038\n3594 12833\n14532 14557\n692 11077\n2636 11117\n3425 7714\n4157 5790\n9019 14699\n359 13677\n5755 13222\n365 4856\n4232 4293\n13470 14858\n646 14104\n3315 16323\n5884 6983\n8409 10947\n522 13770\n2151 3955\n748 7044\n13671 14515\n12467 16731\n894 12175\n12912 17423\n6679 13919\n10695 11748\n12566 12707\n8106 11319\n1515 14914\n4347 7036\n16091 16549\n8129 16308\n3983 5303\n7680 17164\n5880 12630\n791 1740\n5101 14438\n2927 3622\n13680 16403\n6113 12606\n495 4352\n1208 8816\n2976 9220\n7935 9560\n6255 14108\n3244 16341\n2843 16188\n6623 13025\n7437 15197\n740 6791\n6191 11157\n8022 11709\n273 8407\n4968 12621\n3355 14010\n6236 9364\n1998 14662\n5815 17159\n10481 11977\n7140 17174\n6166 10923\n899 8725\n5165 16176\n11160 14536\n3650 6928\n11459 16125\n11082 11794\n6623 12119\n2630 5445\n3712 7408\n10400 14868\n3440 9606\n5685 17247\n5570 11832\n9668 11775\n4332 14799\n9470 10312\n5424 16694\n1575 13814\n1275 11599\n6926 12122\n9720 17235\n424 3353\n5818 12636\n10168 14753\n12454 17197\n2283 11628\n1573 10017\n171 11742\n3930 16361\n4317 9779\n11502 12227\n16535 16773\n118 1751\n13066 16813\n8337 11329\n9185 11719\n3890 7010\n5947 7358\n1689 2316\n7209 14009\n16321 17452\n13378 16541\n3052 12267\n10046 17104\n2244 13065\n8860 15986\n1396 8728\n2394 13798\n5511 14317\n8002 13817\n2893 12645\n6731 11742\n7543 7794\n1893 2008\n10099 16120\n3927 6528\n2595 13933\n12872 16761\n10014 11353\n8217 10371\n12980 16738\n3849 10633\n15310 15693\n6730 13434\n10267 12531\n190 10098\n4779 15439\n727 9260\n9515 12724\n3549 11499\n4853 7945\n467 8068\n6916 16301\n874 9946\n705 14165\n1834 16804\n8399 11931\n11910 16301\n3223 12240\n1040 2713\n9541 10517\n2042 3200\n3591 15095\n2343 7229\n5123 5610\n1067 4598\n5903 13582\n10764 14185\n4742 15964\n8205 12366\n1571 3416\n5630 6589\n5607 15950\n4669 12628\n6733 16697\n8079 16706\n2515 11539\n8706 10739\n21 3187\n3283 5373\n9630 13587\n7794 11124\n8259 13375\n15096 15788\n3660 8024\n5693 14470\n6881 8458\n8554 8874\n6980 15595\n865 1373\n1554 3438\n5156 8353\n3648 9633\n9819 10960\n13305 14689\n2534 4371\n5632 6731\n8883 9645\n2736 3778\n9032 17091\n11549 14175\n14204 16865\n11568 17048\n2956 9890\n4807 9406\n1653 12951\n16072 16618\n14992 15477\n1195 1603\n6440 15003\n1982 14155\n6999 11482\n1477 10188\n11959 13933\n6694 10789\n11620 12754\n921 12714\n2967 4074\n1764 6722\n6739 17279\n6480 7171\n636 687\n333 12025\n557 7024\n4402 14300\n12531 14031\n9750 10790\n12362 14574\n174 777\n4212 5798\n9094 15850\n1078 3394\n7111 11896\n9662 10214\n7896 13548\n5495 17426\n2400 7205\n853 9544\n859 8362\n3322 6374\n16353 17150\n181 12706\n12499 15630\n14410 15971\n2135 5650\n4015 9461\n7205 15695\n2895 16205\n12681 16967\n4364 10391\n500 10688\n2177 3098\n212 2415\n33 1858\n11506 15955\n12278 15217\n2988 14058\n2963 9906\n6640 17037\n1718 11687\n1791 9527\n1349 11757\n5903 11412\n1642 8847\n1227 3745\n7220 11830\n2148 2500\n7333 12505\n13181 16001\n7680 9452\n14480 15806\n9040 11756\n12461 16938\n4659 8358\n876 9922\n10855 11096\n8844 13474\n7036 9716\n9584 15570\n3389 14064\n14003 15056\n5485 8256\n15476 17027\n12981 15703\n8163 16772\n3031 17169\n577 16072\n10009 11955\n96 3533\n5215 13864\n3870 10779\n2395 9594\n8816 14487\n3233 8237\n3301 5278\n233 13437\n12448 17314\n1483 16524\n6898 15309\n59 4529\n538 11017\n6432 6558\n1298 5204\n10659 15252\n2034 7298\n316 6502\n10536 10562\n347 2636\n2661 6993\n7546 15426\n2473 8072\n9633 13789\n2626 10465\n6763 10608\n4148 6771\n9901 16212\n12694 13010\n2095 15739\n3497 12442\n5822 6383\n5884 14985\n2965 13862\n608 12154\n12501 13214\n5242 15566\n3539 14379\n12343 16587\n1195 11939\n7090 15575\n7763 14581\n4016 10372\n164 8305\n175 12008\n3201 11124\n4835 7406\n9940 12955\n8203 14259\n1650 13107\n6847 12812\n8588 15543\n5250 10269\n5011 9817\n1521 7444\n11381 15708\n8793 16442\n9092 16094\n3841 4670\n8651 13928\n8357 14349\n8563 16422\n9420 11615\n4685 13719\n49 3487\n1839 5181\n12155 15972\n1023 15308\n2136 13066\n1218 6468\n2579 15209\n2262 15578\n6512 12756\n2887 8417\n7599 11973\n12817 16490\n7088 15458\n2226 9475\n2269 9493\n2275 2559\n7780 10404\n504 13821\n10056 11265\n5649 12658\n3392 10194\n836 8793\n15271 15930\n1888 10360\n2520 3254\n1085 6591\n7143 10708\n2566 6437\n7423 10777\n13 6315\n3255 6832\n725 5967\n2861 5123\n190 15469\n11614 13455\n3204 5742\n5256 12715\n818 11724\n4580 16085\n6658 10250\n694 4399\n2223 11377\n988 15800\n679 7203\n3203 11049\n6722 12288\n9465 11089\n4389 14999\n10823 13135\n13961 17363\n9060 13725\n2898 7336\n3185 9398\n6666 16078\n5514 12693\n13137 16112\n3836 13919\n9251 15586\n2577 5566\n10271 16143\n8783 11385\n11343 15793\n552 1623\n7438 16683\n10064 12901\n669 2460\n4507 15803\n9499 15367\n7793 12510\n2183 7877\n3209 10430\n5693 9505\n173 951\n13398 15521\n2089 16370\n4038 14934\n6882 9564\n757 1428\n7150 15276\n10150 14184\n5928 14925\n6166 11753\n4579 4931\n2147 7496\n2396 5472\n7462 14912\n1165 7420\n4226 6847\n6066 9076\n13637 16305\n2244 4973\n7612 7686\n16104 16880\n12076 13814\n388 1513\n2715 9972\n92 11262\n9038 12943\n15590 16158\n3961 7306\n11963 12576\n6134 10777\n5891 11169\n9845 10843\n10055 10162\n7916 12608\n6105 14893\n231 860\n9864 13743\n5417 15069\n867 13041\n483 13753\n2749 13754\n4715 15832\n5082 13814\n4161 12756\n4723 13390\n235 17093\n9076 9200\n5201 10447\n6383 11093\n3268 12378\n796 16510\n10142 12658\n60 13555\n1225 11965\n770 9681\n2726 12025\n9131 14656\n3421 16994\n639 6207\n4318 7353\n3998 11602\n103 463\n5128 16600\n5417 11104\n2153 5143\n3289 4992\n13327 17199\n7220 10783\n199 12283\n12939 16155\n6089 13650\n1144 3345\n1243 5117\n3472 5222\n1996 8004\n19 10274\n86 8087\n749 6621\n7186 10789\n8197 12281\n4116 10023\n2752 9735\n12208 16376\n5361 13288\n1279 15550\n11723 15173\n14739 15998\n9525 17299\n4474 16403\n13979 17432\n8228 8813\n5843 11925\n5199 17409\n3735 9941\n3242 7051\n14276 15525\n7561 14962\n1968 4049\n3716 14886\n12927 15972\n6700 7207\n2390 5824\n2457 16705\n10077 10553\n2885 16712\n7193 16659\n10016 12873\n3184 11289\n6295 12850\n6972 17329\n32 7315\n10974 13425\n11535 14280\n3041 3482\n1986 3856\n2443 8849\n162 5888\n40 14471\n9236 16912\n7988 8793\n9697 15624\n6075 14431\n11754 12448\n5200 5413\n1034 10616\n7813 14863\n1094 10433\n1265 7699\n3894 17058\n5199 12071\n1919 9969\n2238 6423\n4369 10658\n2906 4056\n8074 12423\n12661 14449\n6512 16212\n2358 12995\n101 2116\n7949 12995\n5687 7458\n2383 12686\n918 16289\n6033 9785\n12236 15789\n386 7254\n7867 9140\n2097 10171\n6313 12536\n13628 16241\n299 11635\n13060 14822\n3240 15917\n6809 10462\n8149 16739\n5755 6490\n3427 6436\n5653 8590\n3064 10956\n4080 10571\n36 14030\n392 13209\n5116 6111\n5081 7431\n6229 8734\n7437 10673\n3625 7877\n4886 17427\n4934 10902\n2895 6522\n3965 11862\n11879 14349\n14017 17287\n10749 11180\n4337 10227\n5263 12968\n1288 13527\n10595 15407\n2212 5087\n5817 14192\n15522 16776\n3027 11946\n2285 6912\n1892 9898\n1935 13190\n4254 6997\n8695 11325\n6718 8710\n3636 15565\n5929 14572\n4579 12638\n6356 6800\n4508 8881\n2077 2645\n7414 8438\n11879 14682\n8818 12492\n8091 15861\n2192 7613\n4591 8259\n7171 11122\n4306 9224\n3533 13583\n2960 12185\n7286 15930\n9385 17387\n2493 14952\n7909 13082\n10582 13673\n3250 7255\n5827 12126\n5231 10294\n2644 14675\n947 16637\n4795 15917\n2820 7624\n2413 4702\n5793 8983\n1810 14800\n10779 11131\n4178 4936\n1303 7585\n8748 13309\n7835 11573\n11863 15667\n11950 14040\n10173 16359\n11941 17020\n1696 6240\n1185 14715\n5833 15841\n11688 16975\n8484 8746\n3320 15052\n550 10606\n3379 3683\n13423 14412\n5768 10034\n11642 15627\n1813 15496\n5952 11390\n432 15534\n1171 11036\n3034 16547\n4842 17378\n2478 6107\n693 17191\n1293 15704\n13595 15930\n10446 15846\n3620 14675\n13913 15777\n543 620\n2984 17234\n6310 8102\n3314 14241\n10131 15305\n348 3408\n4924 10338\n467 10231\n9430 10776\n1136 1160\n958 11639\n2619 12221\n5956 10338\n5434 8451\n6100 16574\n7185 13441\n5815 9184\n12792 15504\n656 12916\n10568 14551\n5362 13955\n3994 17100\n6177 9134\n9498 11592\n4121 9260\n7324 8394\n7536 7631\n9311 9832\n4404 15569\n1864 13912\n8112 10172\n4685 16437\n3615 13059\n9055 10078\n4997 8688\n1125 16229\n567 667\n2844 14093\n4145 8624\n8635 15446\n3858 12065\n350 5215\n8186 12696\n10780 16115\n8318 12844\n5803 10649\n10019 12016\n11689 13781\n372 8149\n6779 8235\n7001 10218\n647 2310\n10194 15166\n3826 8793\n6946 10112\n10324 13630\n2563 7193\n1521 4242\n2546 10727\n6476 11085\n2114 11834\n10074 17118\n865 4386\n2093 16477\n13858 16392\n3228 16706\n4066 11456\n8709 12956\n91 13611\n3397 5866\n4554 17218\n9233 16649\n7436 16553\n1027 6004\n6892 6903\n4667 7806\n4437 12197\n307 7203\n5687 8909\n3552 14669\n3215 10800\n1460 1826\n7726 8221\n2701 2768\n11834 16654\n3121 17298\n7051 9667\n609 10005\n1210 5275\n14352 16674\n12185 16838\n6950 13415\n5187 14569\n5521 12622\n1723 2420\n2917 13375\n1624 2003\n2186 17384\n981 12251\n2613 11956\n970 11913\n4868 16579\n4004 16658\n5327 15975\n5197 14409\n3182 16020\n13202 17169\n1691 13675\n8151 10712\n440 6844\n3549 5951\n1600 12928\n13519 14095\n1715 13402\n544 15688\n10013 10506\n7317 17013\n1924 5879\n5921 12088\n5050 9827\n11189 12115\n10524 13136\n5461 13768\n8410 9605\n4568 7707\n426 10063\n2172 5871\n8253 13784\n15859 17188\n8993 10912\n1883 11025\n7099 17009\n7425 14815\n3079 9543\n7427 15624\n5365 12925\n4051 15314\n2586 12695\n813 4911\n3253 8155\n4980 15834\n8436 9587\n9256 12607\n378 12739\n373 9708\n9571 12498\n11036 11655\n9922 14434\n7107 16281\n2684 12138\n3215 13490\n3809 16259\n7372 7827\n580 14951\n2746 3970\n10185 14870\n10757 14811\n1199 15868\n5225 10377\n3590 16945\n1539 17347\n6515 6892\n12407 12688\n698 9948\n380 3214\n4308 16012\n4085 13576\n7905 8517\n3105 6327\n2775 5862\n9031 16032\n4628 12279\n11117 17142\n6611 8226\n7854 7966\n6226 15558\n10493 13008\n4987 5942\n11114 12869\n3693 11158\n7516 11606\n1783 6681\n11286 13146\n12200 12814\n7130 9599\n3422 9089\n5828 12246\n4288 14227\n3105 5139\n2931 7673\n1591 12438\n1247 12622\n2394 8272\n4488 7133\n13926 16606\n11652 16876\n9218 17353\n10029 10645\n13965 14224\n4788 14890\n7857 8233\n9011 15980\n1788 9368\n4937 12281\n11099 15365\n3427 8635\n347 14744\n4569 11580\n1350 3011\n7014 15590\n1941 4538\n11703 12370\n12180 13124\n12039 15957\n5520 16026\n1655 7555\n13764 16575\n6418 8173\n4910 10636\n16602 17175\n1486 12622\n2583 8079\n1065 15095\n3385 8477\n3903 8372\n1267 2302\n3903 17059\n4347 14608\n11228 13880\n1201 11817\n8883 10425\n1890 15550\n654 12840\n914 5894\n10602 14863\n8751 14368\n431 9568\n6183 14598\n10551 12584\n9168 14608\n1640 10320\n10738 11218\n3500 6645\n4741 10365\n2528 8973\n1699 2056\n183 5776\n1389 6435\n4163 6084\n11925 13339\n6026 10591\n4662 11179\n7833 8593\n673 3588\n7591 16292\n7865 10121\n9599 10614\n9570 9957\n5105 14355\n6021 15984\n7712 7918\n4503 5968\n9759 15241\n10179 14963\n8190 16583\n12957 15839\n13160 17310\n8860 15900\n3492 12668\n5991 16281\n10836 13583\n13822 15453\n7476 10369\n14603 15254\n3591 11358\n187 8304\n12458 14880\n6509 13468\n2664 3678\n2039 4020\n6687 10551\n5783 15337\n10660 13292\n505 15468\n1178 11097\n4329 15434\n6969 8468\n3801 8881\n4523 15786\n4582 9283\n1943 3500\n6693 17306\n9090 15636\n1034 12376\n4338 6095\n8736 11622\n5291 11456\n1098 10166\n8977 12935\n682 7363\n12613 13156\n3110 16373\n4 5210\n13923 13963\n6152 14718\n10788 16689\n7876 9601\n8828 15123\n6842 9113\n1816 8676\n14939 16381\n4875 14189\n1782 9137\n5856 13510\n15549 16062\n413 6055\n13523 16195\n14925 15126\n746 2954\n7251 11255\n2849 12580\n529 10248\n1655 14481\n382 6962\n8949 15482\n6407 12435\n2348 15629\n8664 9820\n10499 15739\n2005 10650\n6848 9184\n2313 12104\n5332 11507\n10742 12185\n4701 12055\n5584 14503\n103 10671\n6457 6585\n9519 10503\n4218 5055\n599 5449\n3629 14780\n1267 10206\n5537 5548\n14493 15575\n6524 11759\n1883 11365\n1255 16925\n1251 7953\n11553 13818\n4104 14591\n2256 8570\n7346 8079\n3735 16775\n12549 16222\n9431 16195\n9595 9624\n11522 14784\n2109 9959\n2879 5909\n6095 11255\n5795 9357\n752 12113\n778 17265\n793 15995\n10014 11628\n3981 9639\n4774 14634\n10535 11584\n2027 13229\n11872 15576\n6960 13965\n10181 10218\n1969 17147\n14513 16715\n6378 11545\n1026 16750\n2108 7559\n11471 16445\n4519 15099\n9170 15429\n3360 14283\n5236 15320\n45 15034\n1933 12342\n8014 16645\n2582 8365\n8114 8758\n11692 15083\n10762 11881\n7575 15149\n1491 4115\n5332 17338\n1761 6658\n787 791\n9392 9505\n7198 13486\n3444 4842\n2198 14986\n6514 12920\n14437 16951\n2473 9663\n3250 8677\n7992 9962\n8690 17053\n4522 8119\n1847 14074\n1433 8652\n3585 10927\n1470 3107\n1717 11441\n9810 15120\n10600 13670\n1493 17071\n4538 14767\n7436 8749\n2347 6586\n47 12156\n13033 13357\n2795 12284\n3317 9371\n10927 11517\n1439 13046\n197 6618\n11627 17272\n15453 15547\n1843 9118\n11336 12841\n11660 15297\n8677 15591\n1825 6964\n9054 12824\n1241 5738\n4671 13027\n7278 14805\n5261 7458\n3521 16501\n14385 16252\n8122 8783\n7101 14772\n11686 17184\n4679 16663\n6308 10708\n7026 15605\n7439 14040\n9099 12093\n5685 12566\n2176 13901\n3813 9105\n7558 13923\n6520 16550\n2081 13512\n1867 11473\n722 1655\n1442 10362\n133 6632\n505 17211\n4994 14601\n7005 15391\n113 16686\n1599 3347\n3543 16842\n4464 7158\n3026 8832\n706 7123\n9154 16819\n4091 4356\n4229 15054\n6670 15150\n6198 11269\n2664 6316\n45 5722\n1810 9802\n9049 11328\n10266 14630\n5261 12624\n13836 17035\n7937 10093\n5887 10598\n2011 7788\n6382 11298\n9130 12338\n4903 10831\n6470 17135\n6047 7957\n10046 16813\n7007 13365\n595 13494\n11833 12959\n8374 9919\n4780 7044\n3719 8613\n9164 15490\n11692 11765\n2766 12260\n8086 10801\n5924 15597\n11983 14991\n8305 9552\n6573 16780\n8317 14483\n10532 11740\n3073 14777\n5971 13862\n3211 16541\n292 6303\n3835 10345\n4170 13433\n3626 10485\n249 869\n2737 15062\n4393 15984\n5019 5871\n4477 7976\n7022 12025\n4918 8135\n2166 16996\n2310 5120\n12488 14271\n12131 12383\n1394 10271\n12504 17138\n1015 8584\n869 13568\n247 3290\n12064 16776\n4026 4286\n2342 3015\n8830 11519\n7782 9371\n4162 14946\n12358 12937\n8902 10220\n5621 8735\n9086 14601\n2500 14256\n4515 10263\n10155 13033\n5583 10815\n8789 14061\n4447 5248\n4786 16472\n6941 14758\n3850 6746\n3357 4597\n11678 15417\n7035 17178\n13391 14785\n651 7191\n275 2749\n1900 2754\n7588 12953\n3302 5813\n6771 13003\n7481 9649\n9282 11954\n5872 7711\n2351 16007\n2866 16602\n19 11587\n8976 13312\n4912 13559\n6272 15621\n4158 5186\n370 15739\n5070 8222\n7316 13967\n500 5072\n6165 11643\n1556 1931\n1294 9093\n8950 9607\n812 10671\n13735 17409\n1091 9901\n6481 12219\n5660 10840\n6463 13624\n12016 16729\n5061 16444\n3443 7121\n1797 3714\n1541 6023\n3616 6583\n6574 6832\n593 5267\n3244 7019\n900 6669\n5675 7699\n9112 10551\n6841 9295\n2547 11941\n12362 13342\n2453 10302\n1581 2216\n5403 12247\n1172 11063\n8762 16073\n3548 16515\n2735 3262\n2399 16041\n4214 11983\n4450 9348\n14364 16984\n5209 8659\n1410 4067\n8363 13369\n11035 14576\n5804 17235\n3413 10845\n8536 13684\n3603 11336\n13412 14872\n2341 6505\n2494 16726\n104 8868\n8964 13518\n1822 15176\n266 4975\n6304 13900\n733 9813\n5483 11558\n4834 11166\n2177 5257\n1011 12608\n5909 11090\n3169 3266\n6981 17318\n7192 10816\n1311 17454\n1720 2018\n6042 6184\n428 3743\n7462 9534\n2904 10706\n2790 13334\n1727 4867\n309 10908\n13656 17440\n12761 13567\n2641 13075\n10694 11784\n12048 15496\n931 4223\n9927 11207\n7999 13519\n6175 15105\n9267 11887\n2033 7351\n10569 14701\n11012 16832\n3356 11748\n7802 11472\n8694 11749\n7093 17250\n2746 3537\n865 3620\n796 11209\n1800 4267\n6173 7088\n6758 16184\n2068 7240\n7696 16429\n1239 13596\n3509 4433\n13666 16421\n5653 8431\n8535 10664\n3375 3886\n5846 11711\n8486 14831\n6854 17373\n4546 11441\n2179 8120\n1075 15426\n9960 16917\n574 6771\n12642 16615\n9089 11040\n6116 8436\n8655 13480\n9846 12215\n5792 14842\n9401 17310\n9566 16546\n1952 15289\n6760 14398\n2438 4228\n1312 8495\n8830 12811\n2 17350\n6186 12890\n12275 12621\n2238 10581\n7002 17407\n4540 15376\n12398 13496\n9974 10292\n7010 14839\n419 2812\n9674 12353\n7412 16372\n3592 16191\n3573 11761\n16945 17382\n9244 10836\n9473 11635\n6599 16995\n9030 15970\n7375 13120\n12145 14945\n7128 7570\n14273 15236\n3183 10196\n2317 5873\n14317 15297\n9894 16883\n5117 13440\n9369 11281\n352 6366\n1718 12383\n2403 9363\n4703 9064\n1679 4512\n14302 16038\n14688 16706\n4723 15565\n8068 11559\n8308 10085\n416 17373\n1159 11786\n4158 9166\n1545 16177\n1154 10784\n9400 16270\n1218 10480\n1860 16227\n8530 15362\n6941 8985\n281 10682\n13325 16759\n8158 10700\n95 14293\n538 8937\n1426 4195\n15982 17433\n9425 11914\n1028 3356\n2288 10718\n761 9617\n11532 17112\n5471 11070\n5339 10650\n6240 11852\n5191 12097\n11041 16569\n688 1981\n6825 12593\n347 11020\n11552 12106\n5697 14574\n10451 17189\n5255 8063\n7960 11741\n2609 14751\n6584 9557\n2283 3409\n266 5061\n1334 1803\n4712 11372\n1903 12637\n4623 7844\n1473 12386\n827 1266\n6543 8046\n8770 11735\n4324 5180\n4041 16323\n9105 10953\n1796 13187\n9983 16694\n7729 8401\n6058 15430\n12091 13732\n6215 8562\n810 14930\n5928 8706\n1172 11823\n973 15182\n12062 13203\n10873 12505\n1183 6687\n6283 15258\n2816 14630\n9263 16383\n8408 14708\n350 13177\n9972 10539\n2869 9550\n14640 15707\n2063 3728\n1020 4499\n6952 16444\n7764 11318\n4807 5197\n16531 17358\n4361 14101\n1423 1735\n7966 16201\n5790 14097\n3347 13201\n2732 6445\n2372 15778\n5815 8953\n6278 8934\n7404 12343\n7496 15298\n8740 13293\n12870 16001\n439 11076\n3277 4746\n4547 5012\n8161 12614\n9507 11069\n4482 9539\n2883 7133\n5344 13301\n7949 11752\n9539 12583\n8529 12480\n9032 9613\n16625 17360\n14505 14727\n8464 13183\n973 5082\n11126 13190\n10259 11068\n4937 13204\n7048 17454\n3436 14421\n10275 12006\n334 8757\n7380 16129\n535 6598\n4796 14350\n4961 15307\n5065 7870\n1733 16333\n4905 6016\n819 4304\n5928 12231\n3346 5709\n7077 15137\n6445 7617\n8093 17452\n3635 15243\n2219 7761\n11590 15677\n2073 17050\n3983 15203\n5987 16536\n11867 12448\n8309 10498\n4264 11637\n9133 16160\n13564 13930\n5668 16771\n4171 10603\n832 5470\n6644 16091\n6429 16103\n1903 6935\n1165 17277\n105 12669\n10074 12420\n45 1855\n12135 13648\n2259 15678\n6447 7454\n13268 16774\n6161 8000\n1602 4593\n13406 17149\n13878 15766\n4324 14055\n311 7956\n8192 11381\n3233 10377\n891 10920\n4363 17339\n10001 13755\n9057 13284\n4050 14888\n4637 10559\n8132 10634\n1339 7373\n4504 17443\n4469 11802\n7041 12138\n4676 17095\n5653 8096\n303 4022\n2058 16034\n13913 14817\n3980 7312\n8228 9181\n10343 11133\n3868 13650\n1284 14965\n3813 14134\n2960 11664\n1933 14937\n15524 15865\n13603 15183\n5573 15859\n826 7580\n3948 16574\n1943 4669\n6365 7021\n678 4890\n5570 14513\n14120 15113\n103 7006\n15404 15562\n6589 8090\n6635 9394\n12062 12246\n6045 9584\n6936 15692\n7040 9616\n662 16003\n4478 16924\n6831 15372\n708 16385\n13483 15951\n142 12741\n3788 8883\n2317 16383\n473 8320\n1683 3488\n14711 17418\n925 12906\n2247 9215\n7186 14486\n8809 15133\n6040 10499\n10975 11515\n6008 6112\n9989 14197\n3053 12838\n2486 15231\n3474 14487\n4410 11560\n3208 9921\n1295 3846\n7871 8933\n10115 11524\n10881 15041\n1329 15574\n3975 10525\n6925 15632\n10878 12313\n5473 14479\n7983 12917\n3674 13268\n804 15643\n4386 9413\n13507 13661\n3134 7725\n7911 12986\n7430 9732\n4525 6798\n11174 13539\n8587 14630\n3887 11572\n1598 1851\n7738 14358\n6055 16433\n7701 12723\n7485 11826\n9623 13629\n12401 16873\n14861 17124\n8829 9022\n8211 13183\n3389 10780\n827 4259\n1694 17004\n3011 14173\n5417 15559\n4891 12701\n6889 9128\n9218 17192\n10326 11601\n13004 16697\n9272 14456\n1649 8120\n12479 13556\n8232 14781\n1994 13529\n13584 14311\n86 15050\n4265 9772\n14815 16114\n1394 12958\n7636 11388\n2231 10028\n582 12993\n5893 12620\n4 9492\n2938 10964\n4724 16228\n469 11910\n7997 13484\n175 11943\n5591 10376\n3055 8899\n5031 15849\n6076 10219\n6133 15546\n7857 17395\n14323 15549\n10941 11668\n8012 11828\n4510 16396\n7204 13225\n3221 9846\n8136 16224\n1192 9299\n4962 9197\n1387 15433\n2157 10770\n6274 7307\n18 4437\n8132 9173\n9297 13707\n3611 13902\n1439 17027\n11906 16127\n2511 13746\n96 340\n4238 11223\n5421 9735\n7152 13103\n10680 16572\n654 4182\n17188 17336\n2061 11767\n2645 6414\n10464 17337\n4282 10213\n1753 7685\n1742 12601\n1250 4549\n649 7746\n4644 16194\n9469 11067\n4438 12924\n6479 17401\n13647 16268\n3645 7206\n2210 6358\n2457 9578\n7 4786\n8658 9417\n3349 8546\n109 6275\n8551 11330\n2927 3157\n7259 8281\n7228 13983\n700 8110\n15181 15743\n3598 10711\n13007 16190\n785 9159\n7210 13520\n544 7026\n4103 15779\n1271 15851\n13199 13360\n2851 15160\n282 15541\n6579 12188\n490 2982\n1486 3714\n6571 15266\n3401 4935\n2995 9637\n4533 7589\n7750 15602\n8799 13393\n4361 9033\n281 4619\n9504 11346\n2975 10020\n7839 11297\n7444 15451\n5522 17411\n668 9370\n564 8929\n4050 8224\n8779 12121\n3253 16746\n5254 16246\n12490 13127\n5312 12527\n1545 11448\n15218 16999\n1610 6564\n2578 10425\n1396 12607\n6390 17076\n1760 17367\n167 13915\n4466 15333\n625 12379\n8548 9188\n400 10249\n10714 15664\n11588 12937\n3805 11355\n15097 17432\n2524 11666\n10918 12010\n3867 15255\n4400 13319\n1974 10691\n2554 12483\n3100 12064\n11336 11544\n6178 9019\n7886 15599\n2818 9031\n3990 7400\n9088 12358\n13609 14287\n3274 13016\n783 16141\n6064 6588\n2623 5453\n3919 16829\n15045 16351\n4957 15331\n11185 11679\n3540 5575\n5882 6283\n459 12796\n1829 9433\n14577 16809\n4135 16047\n3885 15939\n2618 7366\n3879 12739\n4175 15276\n2208 5372\n2763 14619\n6855 13345\n2263 16114\n3449 17157\n12875 13385\n3931 11929\n5824 11877\n5925 7350\n2784 7667\n444 5435\n293 12542\n244 2032\n2261 12285\n6302 7000\n2517 14439\n14857 17026\n8001 16249\n3609 9185\n1734 9914\n131 14507\n1448 2177\n16498 17038\n7897 13540\n5270 17394\n4301 6994\n10944 15303\n1377 5760\n5577 9574\n12537 16955\n2078 8628\n3932 4873\n8555 12592\n10236 10276\n1589 1856\n1114 9118\n874 8845\n5024 12366\n493 12338\n4429 17182\n9287 12493\n9378 14720\n3419 13611\n1701 15829\n9809 15096\n5622 9056\n4601 12221\n494 4325\n1505 1850\n983 9596\n5457 17156\n13438 14530\n5364 11060\n1908 2149\n300 1494\n5688 13863\n1332 12255\n4783 4814\n2405 9831\n6740 12358\n1041 1079\n8152 8252\n2166 14769\n6683 17292\n5912 6196\n10215 15999\n3576 12494\n6589 14463\n2509 12497\n1631 2034\n3627 9500\n9647 13618\n4557 7495\n13467 15203\n4165 5812\n10548 11154\n16227 16777\n690 5557\n8362 9228\n1955 17423\n11494 16144\n4015 4527\n1925 7268\n5455 10263\n5206 7601\n467 2625\n2005 5367\n1939 10318\n2687 6030\n7698 14571\n204 13522\n8312 11263\n11166 15937\n1869 7272\n2210 2405\n7977 16979\n5993 14897\n5798 6294\n5319 7869\n5124 7528\n15382 15736\n6184 17020\n3491 9310\n2745 7046\n6725 15587\n1434 15859\n11047 12894\n9262 10738\n3093 16076\n4118 9241\n11150 14954\n2089 17390\n3631 8739\n3448 3971\n2094 4613\n14792 15357\n1165 2632\n1490 9457\n681 5804\n5489 17385\n2203 8557\n7914 11606\n3254 11447\n6535 10278\n8392 12983\n9731 15850\n148 11262\n2043 12979\n1805 10995\n2259 14590\n355 10481\n13708 15772\n14331 16284\n378 13341\n3349 13648\n12905 13061\n748 16290\n369 10463\n6101 7162\n984 1489\n1680 12636\n5010 12536\n11771 15547\n6296 14930\n2527 10352\n14107 14377\n14858 17096\n3456 8106\n29 4002\n8813 15458\n1113 5591\n9961 15614\n3474 7151\n7204 10472\n3120 12066\n4676 16612\n6194 11149\n10313 14132\n9400 16838\n1568 15973\n950 4537\n7996 10212\n14905 16685\n669 14779\n4277 8666\n3306 15175\n6092 13815\n1602 9755\n10160 10290\n2077 3027\n3044 3340\n2502 15267\n15221 15689\n4048 5698\n9180 13989\n232 8735\n5526 13903\n6681 16885\n3132 10518\n6770 10551\n14589 15259\n6125 7558\n2891 13219\n2443 12378\n176 2792\n8192 9798\n2608 15669\n171 3232\n3687 9284\n5426 7506\n4673 7345\n3324 3834\n687 9318\n3391 15555\n2956 16596\n9255 15561\n2690 12028\n2734 7566\n3649 10484\n10494 14569\n6254 14000\n23 11194\n2474 4786\n5566 13851\n1229 15470\n7069 7268\n4343 5746\n5327 10463\n6746 16265\n16684 17405\n2983 3912\n9771 15506\n6540 16189\n1674 3241\n986 2318\n6540 8514\n8620 16484\n7638 13210\n2595 16708\n6009 6874\n5342 6575\n5420 13327\n4418 10425\n6853 15734\n12384 17071\n4314 10857\n2080 12804\n6437 13747\n39 7562\n8474 16927\n4491 16729\n9133 12425\n2733 15737\n4140 12199\n25 15916\n8180 12433\n2708 3991\n8205 10252\n9497 11352\n14603 15002\n11417 12644\n12134 13674\n4833 8642\n7796 14956\n5143 15673\n1945 10929\n10036 14834\n2290 11951\n1608 15118\n12439 15235\n514 14604\n4480 17016\n7203 14307\n9240 12964\n5607 6309\n1864 6618\n7606 16564\n7384 9203\n5403 12310\n4765 10297\n6038 11703\n7258 15517\n4317 10220\n2546 12494\n6717 8433\n11894 12689\n4498 15035\n3202 3516\n470 16742\n6180 7747\n13168 15352\n1432 4574\n1454 14802\n428 9309\n10053 17376\n10427 12591\n3365 7927\n16440 16519\n12833 16959\n9312 10381\n11934 16691\n8588 17275\n109 804\n858 15930\n3194 14555\n10512 14368\n2851 7476\n5054 14603\n287 10946\n15563 16679\n11891 13636\n4517 9200\n9883 13650\n12316 13605\n2943 6230\n12768 14783\n16480 17085\n11882 14367\n2001 12146\n4779 4959\n10056 15167\n833 11191\n5259 17195\n12222 13871\n755 14890\n5612 5977\n12276 14110\n11954 14270\n2721 13450\n849 14987\n3721 7055\n8052 13105\n12584 16729\n888 6784\n7504 16850\n3521 17274\n8616 15160\n3830 15860\n15229 16982\n9699 13143\n3225 7774\n7724 10626\n1510 14116\n8436 14638\n2747 5036\n2936 10421\n789 11885\n6245 14669\n1644 13773\n5818 7076\n2360 7876\n9395 12240\n8212 9882\n4504 6029\n2992 11489\n2516 7718\n1306 9469\n1373 10565\n503 2774\n10212 10402\n13650 15915\n6573 15180\n9470 14922\n826 14086\n5066 12195\n16884 17320\n15796 15810\n7065 13183\n7881 16153\n2946 12736\n3502 3586\n167 8095\n4620 5362\n5355 11947\n11711 16807\n11835 15863\n12679 14414\n987 16528\n3191 10798\n742 11427\n1637 7362\n14491 14575\n14060 17245\n12237 15938\n471 13375\n14192 17231\n4478 11978\n11923 12251\n1050 10332\n2746 3727\n1160 14307\n4777 10011\n492 1708\n1784 5685\n3592 16243\n5753 15627\n10195 15172\n159 2619\n8565 14750\n420 17453\n5870 13442\n4172 13781\n11359 16849\n6673 16992\n7575 16418\n2835 11243\n8261 16142\n102 11097\n3012 10686\n6058 10075\n3811 7248\n10040 11525\n3620 5851\n8389 13271\n501 16302\n339 15591\n11795 12126\n3713 11695\n6308 9297\n6620 14837\n12066 13992\n1371 7182\n253 13539\n758 14809\n2164 3202\n3048 10434\n7147 14219\n6701 8408\n10634 13914\n10517 14253\n2484 15478\n5123 5627\n6252 13851\n7283 13418\n3502 8820\n9774 16881\n3830 6094\n8372 13559\n7037 14064\n3754 13593\n181 16464\n11013 12353\n12535 15372\n2768 10200\n10782 13901\n3213 10551\n6067 12758\n637 8063\n9355 14085\n8539 14628\n8983 14363\n88 9013\n8493 15310\n3779 4724\n10048 16304\n906 12629\n620 12836\n1543 8761\n3531 10370\n1614 10002\n6916 8090\n2557 6766\n5371 15847\n11768 14033\n5703 9406\n8173 11330\n10028 10490\n2409 13289\n199 16025\n2690 12082\n13580 14566\n2342 3311\n3181 14981\n16485 16977\n6084 9649\n1405 17137\n3973 15866\n1722 14194\n8219 17216\n5340 9276\n6700 15879\n2270 11331\n7686 13178\n10273 10953\n14575 17389\n3184 3469\n973 2910\n22 2288\n174 13915\n4729 8817\n4073 5146\n2228 8725\n12053 16452\n8734 14184\n14189 16460\n2334 2996\n960 14056\n1698 4527\n2642 11180\n8630 9770\n9163 15301\n10144 15087\n6335 6514\n1875 13371\n14556 16385\n11062 14961\n7860 8703\n183 15947\n1665 7091\n4569 13730\n5233 14172\n15894 16783\n2920 16723\n64 10094\n5696 15129\n3720 7580\n3549 5241\n8183 17157\n5118 7676\n9507 14712\n2710 8322\n4147 6555\n4117 15436\n2872 13925\n1887 7028\n9302 9409\n2353 4780\n3931 6250\n2164 7195\n3152 5047\n6833 11515\n729 9428\n4293 4433\n8532 12303\n4141 6837\n13699 14851\n17030 17055\n4527 8235\n9795 13753\n4414 17022\n5622 11672\n11899 14952\n9380 10852\n7981 14235\n2708 10828\n10003 15591\n5602 6973\n5731 8474\n1328 7569\n1235 16026\n12831 16511\n3045 4901\n1672 11616\n11699 17438\n5725 17201\n12901 15289\n2887 5616\n4229 6957\n12349 14692\n9150 11455\n1230 15581\n14130 14795\n2186 12193\n7027 16356\n2370 10204\n3798 11760\n4074 11925\n4006 14982\n8214 13823\n728 16589\n14214 15636\n7808 10383\n16909 16936\n6427 12676\n2327 6060\n8117 12051\n2785 7497\n422 8384\n9200 10118\n9601 13786\n2445 3675\n9646 15529\n1210 3973\n10181 11247\n6510 16999\n4174 6103\n3475 15152\n4722 7405\n11992 13093\n10184 10809\n13148 14747\n1470 3735\n936 3553\n4913 15061\n2024 16331\n16511 16834\n2555 16555\n797 15553\n1835 14533\n584 2154\n149 4041\n368 2928\n2560 10665\n2223 11937\n2325 4147\n11863 15281\n3061 16237\n5370 14136\n9644 10152\n2360 16694\n6616 15837\n11683 13182\n4545 16714\n369 9097\n134 12339\n12664 14029\n5095 6397\n524 12557\n3404 10379\n5460 7880\n6803 7653\n3718 13924\n2535 8439\n4866 14514\n3767 7354\n6081 11813\n7758 8171\n3102 9188\n5800 16970\n4821 7356\n2057 13826\n4401 8067\n2098 7873\n13308 13948\n7062 9253\n2596 11534\n4285 14274\n1555 2112\n1202 16657\n2449 9558\n1959 3329\n8296 14801\n6653 7767\n1412 5421\n459 8331\n11008 13772\n3785 7537\n6329 15179\n11004 13792\n10859 13617\n8411 10024\n11663 12315\n9064 16120\n609 2621\n6468 6873\n9087 10539\n1579 14706\n13071 13528\n1893 12905\n4223 12552\n15509 16918\n7417 14227\n16768 16892\n2766 9594\n2269 14447\n7562 13429\n4818 8080\n4111 4553\n5033 10474\n1682 5494\n998 1237\n7144 11365\n8357 17209\n9178 13712\n3382 15740\n3514 4774\n6004 12729\n3722 17042\n3840 13632\n9998 14476\n13055 13792\n1632 10404\n2143 3084\n14018 14803\n16222 17083\n4310 15993\n7938 14823\n477 9379\n2162 2486\n9623 14461\n2398 2915\n2905 15945\n3683 14069\n3561 7895\n6711 8839\n618 2338\n1075 5111\n6131 14294\n11234 15421\n3242 3295\n4174 14693\n15065 16890\n10916 14207\n9144 16322\n1105 17257\n3732 5825\n5306 8975\n5159 6978\n3579 10219\n7666 11016\n12139 12895\n2179 15268\n4624 11566\n10999 15141\n15207 17398\n1002 12338\n16304 17398\n3393 16224\n5145 15989\n3282 4740\n2315 8214\n2190 4448\n2385 2536\n4603 9922\n7344 9014\n5906 6295\n6858 14521\n966 9174\n6569 15181\n10304 13205\n6192 12545\n1394 4433\n4709 8043\n8450 12131\n2225 6970\n1368 12427\n209 6340\n6626 13301\n559 3864\n3426 10582\n80 633\n6893 15553\n563 2144\n7745 15596\n2197 11036\n3227 6480\n3798 13933\n1517 8514\n2469 3896\n9852 10422\n10612 11060\n8635 10945\n9555 10736\n9920 15034\n10004 10392\n9699 11350\n1004 6526\n2865 12850\n4510 8127\n6686 9153\n13278 14352\n2781 16218\n12474 13454\n4328 17373\n7098 15539\n7781 14762\n9698 16212\n1295 10717\n6961 10427\n11820 12865\n6781 13943\n4070 14805\n7214 11900\n1381 8331\n985 4852\n5212 9567\n10005 15498\n8654 10301\n3688 5176\n1443 11616\n8978 15234\n3556 17169\n8065 9774\n367 16271\n9052 11797\n4921 13246\n1190 8659\n9580 11160\n10866 12173\n127 8428\n3223 16148\n6744 10683\n1795 16787\n4746 9653\n1541 7391\n2277 5543\n12904 17220\n2431 8797\n3400 8704\n6569 9551\n5595 6353\n5789 15039\n10573 16323\n412 7752\n11264 15462\n3339 15241\n6777 14837\n6743 11341\n6011 15392\n2540 2614\n8457 11627\n1800 13776\n6562 7518\n4942 11193\n4666 14506\n1647 3918\n8679 14488\n2852 7702\n11247 12322\n4315 13193\n396 6887\n12037 14322\n1199 2604\n4738 16458\n12015 13645\n12780 16884\n1066 13678\n854 3290\n14021 16773\n2195 14656\n9882 11875\n3177 3961\n2192 14630\n904 13639\n15938 17080\n3659 12153\n13209 13832\n4352 17302\n6990 9994\n1983 5256\n10508 13732\n1659 14085\n13882 17376\n10806 16705\n7967 13036\n2634 15725\n4658 15803\n5716 12820\n5479 11627\n4115 5193\n1148 3275\n3946 16775\n6028 10139\n761 4102\n6784 14733\n6418 8110\n4496 17083\n4795 14406\n4048 8832\n2826 5855\n3434 16917\n7673 15011\n12979 13982\n288 6621\n7944 17300\n2033 15897\n2047 7460\n9556 13150\n3052 5507\n1284 6999\n7687 16777\n905 3864\n2533 11230\n4150 16099\n6356 13869\n1594 16446\n8642 16736\n181 1139\n6867 12747\n5898 14730\n11440 11900\n3085 4812\n8435 16412\n3311 4907\n9933 13202\n16528 16779\n1408 15561\n7794 16784\n10875 16953\n6815 15781\n1755 15633\n4711 8656\n6985 12030\n4253 7226\n6433 16402\n5430 14920\n3524 9140\n6097 15767\n1685 9468\n9052 16230\n7666 10936\n1008 7251\n5267 14784\n3571 7719\n1320 11831\n5248 7967\n1714 1881\n5742 16522\n3471 8272\n3080 13002\n650 772\n2621 7439\n2256 8340\n8550 12870\n8591 12700\n5121 5246\n4848 6343\n3140 10582\n3548 11745\n8642 9809\n10264 10910\n14684 16516\n3037 14378\n2528 14355\n9464 11697\n2130 4760\n5443 15839\n2891 4095\n2549 6283\n10479 13170\n5895 13454\n3196 6932\n5137 17414\n11100 17132\n302 13640\n7086 12370\n2821 5779\n13312 16818\n12639 14769\n13775 14485\n7090 9295\n8737 10079\n10031 11179\n10055 10926\n2163 6719\n7475 13002\n5088 8917\n246 14635\n717 11329\n7366 7645\n5164 10836\n6087 13522\n3980 15350\n122 12250\n10031 15347\n395 3680\n1629 14620\n2653 7465\n2148 13058\n12932 15823\n13200 16609\n7874 12024\n8096 12260\n10895 17107\n5256 7980\n2770 3750\n2508 12950\n6797 7351\n1169 7908\n6573 15691\n935 15793\n3253 10360\n6864 12465\n1084 15728\n858 1960\n14893 15042\n2249 14968\n15388 16781\n1164 7465\n883 4098\n7589 16934\n2587 4724\n3198 16352\n4180 16589\n8812 14601\n1524 14770\n1545 4502\n14245 14686\n2444 17066\n8106 11275\n11371 12147\n4052 8117\n3483 13829\n378 4739\n7636 16836\n6733 10341\n4110 7337\n10669 10961\n7761 14441\n2186 3842\n2055 12387\n9564 11888\n588 10604\n2405 6158\n3486 11243\n12706 13114\n12729 12790\n2364 8449\n4629 11184\n263 12801\n495 14520\n2407 13557\n3209 14080\n6942 12665\n5667 13234\n2817 7993\n6843 15173\n4957 11679\n5 13664\n6213 13215\n7373 11754\n8324 14319\n5017 5652\n6602 9562\n303 10155\n7516 16650\n663 10288\n7402 10942\n9102 13946\n4186 7758\n9630 13165\n4243 11820\n9089 14989\n14685 15372\n14903 15961\n7701 9242\n1630 13996\n10280 10869\n14011 17148\n16209 17322\n7984 16736\n516 4068\n1974 6778\n3818 4246\n6423 10655\n252 6044\n8177 15771\n7167 13446\n4719 9079\n4583 15874\n6031 13237\n988 10468\n2367 14123\n1475 4904\n3680 15220\n6839 15506\n9259 16441\n11656 13303\n3935 13493\n1019 1437\n3947 9019\n14077 15469\n7223 8908\n3703 9936\n4665 6088\n11639 12073\n3986 9469\n4059 5641\n1638 7081\n1691 16587\n8239 10993\n4867 13285\n1886 15966\n2230 3808\n5770 17217\n12005 13760\n1866 4144\n10724 15661\n8309 14139\n4498 9942\n14381 15588\n15486 15601\n7142 13179\n7729 10024\n2917 11850\n6170 8933\n1770 14127\n11027 12193\n10972 11069\n4338 13536\n9114 12669\n21 8260\n3052 3191\n5521 6935\n4032 16522\n4344 7453\n11305 15199\n1676 17411\n5961 9518\n617 12324\n6941 9776\n7418 16993\n1434 3219\n11826 16811\n6061 11230\n3940 16908\n707 715\n2663 10843\n1172 1939\n2478 5707\n8398 14805\n9028 9131\n9961 10560\n2177 4066\n12071 17428\n3955 13448\n10489 13545\n468 10882\n10902 13647\n2373 12687\n11366 12281\n3383 10289\n11131 16409\n1700 16828\n6420 10403\n3387 6882\n7239 11789\n13447 14101\n5411 9717\n11853 14422\n2242 4050\n9345 12451\n3994 8865\n8266 12619\n7714 13911\n3806 11678\n8995 13373\n1202 2325\n4484 4710\n4183 7743\n6572 9122\n15413 16048\n918 8293\n8700 11082\n4897 13247\n3767 8260\n6666 15299\n9294 11484\n13077 17446\n9902 15772\n117 9898\n6827 16340\n3988 8395\n10256 16394\n9571 15067\n3105 16232\n9852 11980\n4262 7002\n3716 5423\n9315 12701\n7083 12422\n4203 16217\n5837 6080\n13352 14446\n9172 14573\n158 986\n11593 14833\n3837 8964\n5815 12679\n10835 16025\n13190 16571\n6315 16102\n1320 10866\n6529 7132\n11688 15965\n15044 15359\n7756 8479\n5681 17088\n787 1371\n922 5886\n4361 12168\n3688 6104\n8700 12755\n6961 7244\n3522 10952\n5252 12902\n1385 9988\n3941 5224\n424 3651\n8441 14000\n10646 11265\n2591 9883\n12332 13519\n47 10050\n2743 14727\n8490 10566\n5793 15490\n9333 10617\n4927 10569\n5155 13786\n6598 7980\n7984 16683\n1765 16894\n9440 13095\n517 15862\n27 14126\n454 6272\n3437 8618\n200 12184\n5616 9400\n10867 14864\n13338 15623\n3690 8076\n3105 9245\n12822 16150\n6661 15975\n5976 13622\n1790 9580\n328 4527\n5817 17100\n1650 3173\n1358 3127\n1345 13503\n5962 6986\n11421 15869\n1632 10223\n9714 13068\n7477 13651\n2018 3323\n1096 7083\n1025 10939\n14994 17027\n14104 16593\n1749 8622\n5685 7758\n7204 13296\n3943 13091\n4822 8606\n8946 15884\n5003 17137\n5957 17030\n7756 10020\n3273 5130\n8003 10169\n1072 2678\n1582 17315\n8929 16294\n309 13102\n1906 9137\n7062 7246\n428 3682\n2587 11342\n9580 16447\n4270 10971\n2996 12259\n4486 11459\n7870 11241\n6988 14312\n6147 8155\n5890 13308\n1003 3631\n13431 15718\n3036 10095\n4395 10853\n2571 16588\n12508 16353\n11439 13244\n12051 15725\n2997 13827\n3965 5009\n2183 3494\n14071 15395\n7255 15046\n10211 10212\n6533 9079\n2273 6530\n835 9205\n5449 11409\n9415 11108\n8266 15016\n5756 6918\n39 16969\n14711 15201\n4917 17080\n13709 14731\n12170 16660\n2190 3662\n330 12498\n8889 11415\n3673 5664\n2298 5903\n4562 13721\n2060 10846\n885 14443\n10874 16640\n10678 13496\n16512 17311\n3657 6046\n4422 14449\n5536 10195\n5546 9825\n5871 7103\n15772 16311\n12340 13013\n8219 12886\n4738 13461\n686 15809\n7671 9232\n9545 9955\n4549 14428\n1085 8823\n4142 14059\n3645 13582\n2258 10994\n4996 13386\n1240 8002\n2854 4721\n14107 15128\n1636 5128\n6073 9265\n11118 12290\n12405 16571\n2314 3495\n8942 10285\n4197 12931\n3668 11442\n1362 15354\n3623 13724\n937 16580\n1460 15682\n2732 16544\n13312 13919\n3722 13916\n968 12099\n16316 16995\n1863 4739\n29 14345\n6101 11209\n2433 13618\n8596 17353\n10077 13242\n4188 11448\n7675 9916\n5575 7193\n7204 17154\n11668 16413\n1899 1964\n6073 17226\n1563 5942\n5743 12742\n2508 2978\n8448 13519\n3823 10339\n4559 12346\n12277 13389\n4002 16160\n7187 16365\n8431 12939\n483 1732\n6865 15253\n8504 15104\n3067 16454\n3452 17238\n4513 13597\n10365 11891\n618 3947\n3473 4287\n349 12718\n7044 8834\n521 10264\n6577 9189\n8145 8447\n7245 13597\n9546 13142\n13129 15295\n15291 16293\n7685 9067\n8779 12350\n728 16124\n5193 13634\n2450 13017\n5031 15223\n9960 16908\n1261 6324\n2641 10393\n878 7814\n7689 14362\n3096 3573\n5711 9521\n14025 16870\n10096 15885\n11667 16796\n8142 10008\n700 10999\n2280 15316\n905 17236\n9110 9929\n7291 11256\n3180 4981\n769 5100\n3297 12647\n2897 6443\n10505 11365\n356 5341\n6720 10968\n5713 12654\n5409 6276\n226 11971\n2530 11613\n5130 15902\n12620 14866\n5473 8161\n11207 15031\n5738 16046\n138 12255\n6073 7156\n5686 7621\n10886 14294\n4212 15182\n10862 15060\n4169 5113\n8959 13652\n5334 12324\n672 730\n4591 14414\n207 5168\n11926 15045\n8093 13335\n12799 12928\n2606 12673\n5840 6494\n727 990\n9764 11961\n563 7535\n3386 4200\n5490 10056\n4277 5323\n1158 5400\n4520 10345\n5737 9680\n1490 6871\n6066 13303\n13556 15973\n12176 12675\n1083 13171\n6054 16682\n2334 16219\n8 2713\n6540 15900\n1521 14136\n2229 16886\n76 2739\n2030 13548\n3075 8086\n4391 5517\n10911 11879\n5116 8789\n8735 15475\n2057 3724\n378 5759\n1989 7092\n1713 10150\n3233 8129\n3754 13197\n6553 12941\n9002 10100\n2862 10367\n10069 15918\n5985 6728\n2008 5998\n4099 17144\n6591 8134\n9123 10506\n5011 9637\n6274 13178\n1931 5477\n10450 11863\n6208 8118\n8 14585\n2802 12232\n4810 13672\n11509 14518\n9407 14858\n9159 16019\n2306 3603\n11309 11478\n561 5959\n9461 12668\n565 2806\n896 6182\n3781 6333\n336 6919\n5753 7684\n2115 14470\n10228 10683\n1500 10001\n14522 14629\n1078 3533\n10034 13593\n9464 12844\n7027 16741\n11165 14017\n10527 14489\n7290 13006\n10818 11768\n855 16069\n11086 12790\n2997 17043\n10513 16912\n1375 15025\n9135 14634\n1713 9182\n11574 12655\n617 12187\n5194 8375\n6413 10224\n4312 8988\n740 7661\n2839 9127\n169 2977\n6355 9608\n2565 15225\n7820 16355\n1732 7902\n11374 14993\n9478 16182\n12518 14276\n3161 10134\n6162 8332\n8008 15758\n7768 16984\n9521 13175\n11909 13003\n649 3542\n2116 2911\n3763 16475\n1116 9082\n6350 12379\n11696 16479\n4421 4935\n11526 13135\n204 15763\n7566 11927\n13656 14259\n12510 16237\n5450 13161\n7581 8976\n2791 5427\n12270 16792\n12128 14765\n2503 7651\n164 8244\n1111 2864\n586 11689\n1736 15171\n13154 16540\n11113 13944\n8117 14997\n10816 16370\n2774 17401\n1601 7555\n8982 14728\n9994 17302\n15947 16601\n293 13706\n3398 15957\n10066 17285\n10207 12647\n6360 15299\n8295 16929\n3819 5355\n1829 5828\n3463 16487\n5299 10118\n11127 15228\n11024 14180\n12450 15918\n15785 15814\n10364 12183\n8732 8930\n9665 10695\n6125 12384\n10702 15485\n9530 13220\n9858 13292\n8996 16611\n2669 8437\n4061 16300\n4605 12319\n6828 11188\n1253 9520\n3033 15856\n10604 13152\n6299 17226\n9716 9794\n6118 8107\n10093 12290\n2381 2740\n15027 16306\n308 11357\n8081 15132\n15018 15489\n4062 8232\n5726 11779\n3981 7230\n7004 16896\n5994 16715\n9652 16579\n7361 10442\n1833 4708\n474 10774\n8272 10313\n1641 5865\n15099 16006\n7687 9985\n2960 11123\n1065 3499\n13047 14441\n2221 15074\n3480 15386\n3373 13924\n1571 10950\n7864 14627\n15157 15988\n9608 15494\n7083 16543\n8748 10908\n7817 9722\n6484 9023\n336 14106\n12642 16561\n5616 8020\n2406 2823\n1213 10697\n5379 14717\n10690 12993\n9485 16595\n5288 10162\n1409 8739\n7347 10531\n9054 11896\n3150 3377\n9921 15143\n9188 10315\n8023 8988\n7720 13906\n14243 14840\n4008 9200\n10278 10633\n10521 12185\n5381 5570\n6201 9041\n953 9803\n1490 6488\n289 13071\n6663 15976\n12826 14730\n10336 13879\n2743 6338\n4262 9259\n2701 5358\n11201 15828\n8851 11770\n1214 17304\n12274 12956\n5669 10363\n3411 6903\n3491 16106\n13723 13738\n697 1969\n753 17296\n433 4816\n12791 15660\n1661 15666\n3508 4304\n287 8698\n11534 16259\n3141 5437\n4003 10154\n3277 4702\n16227 17214\n3780 15576\n8589 15432\n2160 5124\n926 11580\n5326 10349\n6164 8621\n8666 8939\n13911 16412\n3956 7962\n7125 16828\n899 12023\n1407 5796\n3441 10051\n13320 16310\n4806 7887\n2099 5666\n14999 16294\n6652 15142\n7399 10695\n6 17449\n128 3357\n435 11984\n1206 10203\n4907 16465\n5956 6394\n7567 10964\n5995 9967\n681 14682\n9147 10106\n4676 11996\n8184 15333\n7998 13855\n864 3409\n12048 13169\n4236 4676\n12644 15908\n8312 9322\n4543 14632\n5785 8967\n523 3191\n8092 11097\n3884 7274\n1029 16270\n4340 15444\n2618 13043\n15538 17219\n10252 11856\n2370 15341\n9144 14451\n289 7692\n8427 13860\n5425 6756\n4632 12488\n4716 10293\n6175 7564\n213 14829\n1507 8065\n3277 3425\n8283 12757\n12296 13657\n5083 6797\n15360 15410\n2623 16355\n11456 15184\n11316 15324\n6709 14580\n2648 11486\n5069 11373\n11347 16823\n321 6571\n3207 6815\n5595 8716\n2284 8349\n5813 7452\n10921 14226\n6078 13619\n1363 4433\n6913 7976\n3123 6107\n10247 11849\n7563 12931\n1522 6541\n2183 6175\n9749 9999\n10364 11725\n1705 4128\n3487 14843\n11628 11858\n1053 16237\n371 1584\n4270 11926\n3904 12635\n1479 10749\n11832 13605\n2895 3100\n5895 10684\n14072 16410\n14952 15633\n8661 15586\n9286 16686\n3576 6688\n3050 14055\n9559 16498\n2700 7914\n4197 16537\n3033 9204\n4561 10063\n13921 14138\n3844 17074\n3819 14896\n2031 5161\n15306 17262\n4793 13671\n2073 8709\n1450 6195\n6624 16932\n1958 2438\n8184 13012\n10382 16182\n6319 14194\n7600 14178\n3947 15491\n3851 13941\n11321 13054\n910 5902\n10071 17030\n1133 14445\n680 10492\n1809 14870\n12725 15061\n1735 10070\n2355 17274\n4352 9909\n2871 7043\n9188 13971\n4194 5774\n1125 13369\n3863 15254\n5906 16037\n4744 16498\n8054 15713\n1173 8339\n9698 14429\n5116 12532\n9325 16953\n640 16521\n512 10530\n680 6450\n9110 11660\n431 14568\n1328 10451\n3113 16732\n11318 17437\n273 15086\n12844 17262\n8068 8274\n4390 5631\n9640 12990\n5097 15274\n1515 10425\n7903 9674\n5019 5834\n2302 11738\n2209 10278\n11538 16833\n1 16612\n4702 14914\n2781 7278\n7572 8778\n8563 16675\n7978 17180\n3358 8678\n13130 13331\n2928 14616\n2157 8105\n5558 11284\n6026 11779\n988 15845\n1696 3247\n5761 7327\n2183 11190\n3545 11499\n31 5143\n7796 11203\n10081 11411\n352 7318\n8915 15650\n10102 12179\n11162 12054\n6426 7754\n8904 9154\n5819 14608\n939 5812\n3147 9138\n7049 11971\n11608 11780\n4699 10784\n2068 12487\n1284 11585\n8321 16507\n4612 15131\n12062 14617\n7352 15963\n1735 9369\n6715 13015\n6560 15054\n4729 6781\n1324 13742\n2440 9495\n8967 16221\n672 11418\n11605 16558\n2206 10135\n14419 14654\n3943 16373\n1639 11559\n5921 15558\n8621 14434\n7334 13826\n14348 17409\n6804 8293\n9047 13676\n1499 17442\n3748 14733\n922 6650\n4794 16581\n1419 14474\n1480 13011\n811 13278\n7375 8304\n8870 10449\n10368 16056\n6669 7041\n12134 13420\n1303 15666\n5537 6456\n965 10389\n9426 11613\n2669 4862\n6974 14541\n1598 5258\n3081 9906\n2992 6715\n5099 16498\n9745 10056\n1340 4847\n6421 6466\n11191 17310\n7193 10202\n1188 8823\n11634 12072\n3529 11782\n4915 9205\n8781 9056\n7788 15427\n2520 16133\n1900 14166\n1336 6834\n2993 5001\n15056 16354\n692 15416\n220 4593\n6999 13955\n1090 1385\n180 12399\n7090 10318\n4557 16146\n14750 17443\n3650 4568\n7489 12398\n973 1302\n8150 15112\n1141 9342\n5509 6476\n3171 9822\n12168 12652\n7395 8680\n840 8320\n3988 11081\n8288 15679\n14412 16229\n3259 12330\n2538 8488\n5598 5819\n1760 12719\n586 13222\n1202 11597\n8569 10025\n3531 6904\n2036 14325\n4147 17257\n5117 15469\n1240 10123\n1928 6083\n3882 8655\n3030 6544\n3279 12206\n5352 10589\n3386 4434\n3421 8574\n11498 15894\n4128 14657\n3386 12443\n5659 9128\n911 3953\n1257 8788\n3225 17417\n7212 15861\n317 11501\n6513 7414\n4494 5248\n261 5116\n2388 4382\n3141 9847\n5846 17164\n59 5410\n3933 9655\n12672 13346\n904 4759\n1711 5480\n10015 10255\n10613 12582\n8092 12036\n9313 10814\n960 7596\n5974 6585\n5461 14195\n1781 8869\n7569 12020\n332 12810\n574 8351\n6448 13569\n9184 10230\n5331 13119\n239 13501\n6597 11767\n36 17266\n2632 16991\n1813 10560\n502 11507\n2399 11253\n4042 6795\n3970 6155\n8013 16496\n2108 3064\n2235 12694\n2017 15765\n1720 5158\n3700 4003\n11834 15810\n14223 16976\n2693 8753\n1261 5261\n4118 14718\n13047 16747\n9724 14934\n7840 9939\n316 14682\n8183 16904\n1136 8052\n3824 7922\n10207 11984\n2984 5089\n12248 16895\n3045 7299\n7246 14765\n305 14097\n1884 6235\n2962 7224\n4917 15936\n4457 6859\n4647 4885\n7400 9331\n491 10916\n2132 3424\n1685 2567\n7297 9186\n12046 14592\n772 4556\n5547 16709\n3845 4913\n4427 12194\n2877 8629\n9097 12407\n3143 13893\n791 15357\n10441 12019\n11817 13971\n7490 10704\n4750 13268\n8498 12948\n11244 14344\n10992 15299\n2964 15519\n1028 15709\n12850 16910\n1128 7374\n2271 13338\n3126 6931\n5783 13685\n11920 16512\n12994 14654\n8769 12042\n7114 10209\n1164 11180\n5675 8833\n3526 5654\n9390 10584\n5315 9923\n5746 14074\n1557 4292\n5559 8980\n4825 7142\n3702 10698\n1721 5695\n4050 13928\n10629 17036\n2693 9283\n4511 14031\n3101 5165\n196 8822\n2755 4962\n5969 7444\n1798 4933\n4756 12737\n363 13993\n309 3039\n14807 16370\n1617 12073\n1071 6396\n4108 14486\n3869 16429\n1887 16785\n2983 8472\n9561 15155\n3458 5447\n16120 16326\n1524 2406\n552 4230\n10910 11911\n2511 9053\n9214 16110\n1514 15801\n5562 7891\n1603 14207\n4563 15284\n8340 10067\n8393 11352\n6178 17007\n5803 7127\n6274 8847\n13318 14881\n2020 9747\n1967 5105\n3041 16130\n8567 17216\n6244 16735\n7876 15356\n11248 16495\n10586 16677\n1693 2599\n2037 16120\n4439 17184\n50 4181\n3541 7087\n1631 7037\n3141 16462\n3184 11628\n9891 16386\n5724 14167\n4053 13139\n1836 4631\n4711 14295\n4439 12324\n8830 16078\n360 712\n13835 16265\n4821 5239\n7677 17068\n4781 8570\n6635 11394\n3764 12968\n14773 15050\n2655 12421\n6010 8084\n613 15493\n9159 11949\n12102 14303\n589 1867\n9606 14369\n5383 12319\n5060 14308\n4734 9931\n1807 13816\n2989 5612\n12457 15817\n11014 16621\n2977 16940\n6065 15941\n10991 16316\n4085 13035\n3621 13783\n10916 10975\n5481 8274\n275 3846\n10639 12800\n6090 8665\n2179 6646\n8656 13736\n4278 16573\n3473 15972\n7628 12292\n13540 17261\n8495 13769\n2640 6062\n5313 11956\n12044 12968\n6509 8900\n3912 12910\n649 3042\n64 4413\n2590 11928\n4561 12674\n1052 7024\n2821 5296\n6915 15443\n1603 11823\n1082 3536\n5763 15946\n6558 15762\n9848 11429\n4655 9381\n10347 11940\n8203 16309\n4628 15690\n17362 17382\n1545 6928\n9294 12343\n257 8114\n3172 14761\n8198 9783\n152 5385\n262 14467\n1194 3567\n4424 16090\n3897 13294\n2356 12105\n9633 15279\n5754 17379\n841 1308\n584 8636\n14080 16971\n9753 10390\n4719 10649\n5722 15072\n6607 9018\n2006 10118\n2680 12350\n7931 16187\n242 13457\n13930 16360\n10948 12142\n6569 15246\n14751 15080\n4088 4570\n7563 11307\n4791 8936\n9470 11229\n4413 13173\n7684 14313\n3960 10704\n7902 15287\n5724 11821\n2362 17333\n6288 9292\n5757 14957\n1134 8663\n769 16586\n10508 12384\n6572 9958\n7115 17289\n853 13976\n1118 13956\n9961 14862\n8847 12324\n9110 12577\n4319 10202\n2174 6026\n3834 11599\n4044 12343\n339 3857\n6221 14485\n9335 15679\n12936 15532\n5876 12192\n7690 12352\n248 17072\n7186 7492\n12293 16369\n2371 15886\n7933 15853\n2274 16392\n10820 16638\n3845 5107\n1121 12384\n9312 17386\n6969 11141\n7115 12131\n9670 12513\n10065 14291\n7651 9080\n938 15602\n2115 17215\n2480 8352\n6524 15574\n3511 12079\n3047 12437\n10458 16810\n4404 14713\n7125 9600\n8733 14347\n12484 13771\n6371 17288\n12461 13063\n7790 11294\n6522 10851\n7772 9068\n2962 3915\n10957 16810\n13513 16840\n13200 15460\n6587 8404\n1649 15496\n1316 9143\n1524 15995\n6784 8567\n9336 14934\n12447 17113\n6239 15890\n1031 7717\n6689 16393\n9582 16420\n273 13732\n10986 15147\n11747 17123\n13932 14992\n5590 15486\n5951 14301\n1295 15958\n291 16513\n1443 13592\n7766 9582\n4357 5281\n8382 11070\n3429 14544\n4740 6343\n1195 2515\n2385 15956\n7414 17052\n9640 15687\n3683 12693\n11908 13028\n11985 12474\n8264 14623\n7006 9592\n6240 16369\n11047 14010\n1999 7745\n15554 16760\n4773 10437\n967 17102\n8805 11569\n41 15699\n7493 14257\n13431 13434\n14132 14453\n10295 16723\n1077 15390\n1387 17259\n6067 9960\n11957 16535\n9857 13064\n8745 13394\n5499 8680\n1782 14661\n1901 5083\n821 10943\n8902 9875\n6958 13384\n8888 14021\n6879 9526\n813 16486\n10264 17261\n36 11466\n12675 13609\n676 1155\n2800 17052\n14296 16720\n1056 8212\n6140 13132\n4542 10051\n3009 10750\n1968 14227\n14398 16696\n1732 16393\n353 11347\n559 2017\n5854 14270\n2957 5589\n8427 9722\n1135 6017\n3462 16821\n6499 16571\n13472 14508\n6324 17376\n2916 14769\n10831 15299\n4658 10736\n8168 14503\n15227 17077\n2627 11795\n6120 15112\n5117 12108\n5244 6892\n3713 10107\n10597 12615\n2829 12403\n2952 13190\n2535 13153\n4455 5242\n5087 7115\n7680 8242\n6198 9548\n1217 14563\n4481 17152\n3107 4206\n8862 15048\n1814 16365\n5769 11076\n1708 16072\n4503 15433\n1112 4197\n1517 11700\n8476 13497\n9949 10599\n7423 14652\n7445 10962\n12618 14125\n4826 4930\n8157 14593\n10131 10623\n11111 14271\n7720 12662\n3598 6140\n527 5932\n6729 16781\n1362 10872\n8661 17087\n11678 16774\n2006 11759\n877 10385\n1582 10037\n7756 8005\n346 4874\n13262 14485\n1244 4656\n5782 8880\n2712 7710\n1939 8664\n6328 7549\n167 13268\n1708 11345\n12696 17055\n8152 11893\n2829 15840\n6762 7148\n9638 16180\n329 7002\n11855 16205\n6118 17323\n7661 13529\n476 14636\n162 13945\n79 5114\n16014 17043\n39 16227\n2445 3575\n1810 1907\n4066 12848\n3699 6705\n12165 16021\n4568 17237\n1300 4655\n22 6314\n4288 12632\n5582 11731\n2330 16401\n5532 12108\n1253 13756\n2966 5709\n3505 17040\n10879 14261\n3534 16030\n4297 7709\n1089 14312\n4308 13058\n8107 12463\n4926 14039\n5892 13719\n11605 16596\n1222 10202\n1291 2809\n3037 16788\n4725 14270\n4327 10864\n4227 10215\n5918 10816\n2691 15164\n1281 8706\n2370 11217\n2326 4827\n219 7847\n4651 15096\n1683 13063\n3531 5521\n4124 10671\n8757 12129\n1028 12147\n3610 16666\n9402 13545\n9334 12989\n1218 12341\n5496 11319\n1322 13196\n983 14424\n10122 14356\n1185 3237\n2164 2757\n2294 7666\n716 13777\n612 10640\n9320 17157\n1247 13282\n9438 13694\n610 8774\n2598 3738\n13129 16445\n3561 9675\n10458 13617\n60 15846\n11632 13206\n2663 6308\n3915 8063\n8374 12153\n1381 4071\n393 12173\n10537 15835\n4015 6361\n2393 6120\n8630 14344\n8542 14914\n336 1919\n2919 11010\n14981 16576\n3583 17028\n10444 11235\n11088 14117\n5924 12933\n190 9081\n3319 13833\n932 3106\n9459 10086\n1245 5287\n7569 7645\n11244 16336\n7686 15363\n2709 11091\n7766 13998\n5125 7568\n946 4470\n15002 15806\n7383 9425\n6484 9805\n5625 11079\n3677 7392\n12047 13323\n10067 14740\n1145 8484\n4822 6021\n2116 5415\n11295 17323\n10497 16170\n4482 15098\n4434 13921\n9991 17167\n7151 11551\n7540 10042\n5659 13282\n3110 6785\n9052 15387\n5410 9846\n11175 13764\n604 8217\n705 3048\n13192 13272\n3551 16721\n1745 12890\n1155 11100\n146 8621\n3298 6535\n6505 7569\n3918 5190\n3629 6153\n6112 6418\n17090 17147\n1035 8450\n1770 4955\n4461 15632\n796 13508\n1071 8179\n6407 6552\n1497 15591\n3478 6934\n154 14401\n8167 14361\n5589 12225\n5550 16673\n1445 9312\n8723 12875\n6916 16594\n1075 12472\n3213 3297\n1256 5286\n1091 10977\n3900 12869\n1956 4198\n15137 16683\n467 7453\n322 8551\n9847 17304\n7362 10597\n10468 12959\n5696 15433\n2232 5313\n1724 10672\n2891 11414\n6843 7682\n6248 7186\n6935 7384\n7990 10851\n5116 5761\n7532 17078\n799 9700\n247 11439\n4962 9887\n5883 9499\n1076 10384\n1417 15012\n3717 4885\n6089 9129\n2405 13061\n5255 12250\n3843 6690\n7038 12666\n10154 16990\n3283 14050\n6671 15416\n2479 5003\n462 1548\n5749 16189\n393 4048\n4716 13450\n1458 15991\n1994 8122\n4123 7073\n5306 7058\n13533 16969\n3271 5444\n13093 14736\n1165 5004\n3164 7180\n1762 16398\n4085 8440\n4260 11377\n4830 9385\n7252 9243\n7573 12865\n2163 12605\n3846 13595\n2971 16757\n6856 16495\n5581 9779\n4945 15161\n852 6435\n3815 10409\n5863 14322\n4662 10535\n778 6306\n6633 9871\n6079 13643\n3373 14589\n6643 14879\n12631 16652\n10463 16486\n8470 16852\n1298 14665\n6156 13706\n6876 9697\n2682 13612\n13199 15716\n3173 4559\n2136 16928\n2424 13776\n5491 13372\n9059 13887\n9533 15439\n13553 15440\n4598 8790\n1332 15968\n5531 15291\n5479 13769\n12197 12981\n5009 8778\n12959 14750\n3253 7130\n855 12279\n2888 16002\n4707 11650\n3098 9248\n5985 10700\n2987 15353\n7085 9486\n615 14805\n5531 16925\n1462 9998\n6142 7406\n6207 12361\n2075 13914\n2299 5438\n13325 17125\n968 5999\n12943 15379\n6677 11011\n9814 12457\n4015 9473\n1176 9032\n4494 7019\n1627 14586\n15797 16058\n12027 16979\n1921 13652\n2285 3697\n11158 15311\n9003 14219\n3060 11817\n10590 14429\n1940 6265\n4589 7624\n13666 16960\n914 1124\n15875 16832\n12759 14824\n4913 8902\n9786 13929\n1206 2539\n3382 14303\n15711 16381\n4589 4924\n2401 15298\n11745 17332\n4198 9101\n4859 14506\n2262 10202\n5743 12818\n6993 12053\n3016 3353\n1603 16382\n1767 6221\n5410 7929\n2364 3036\n15602 16148\n8494 16787\n3123 16879\n5045 15530\n1143 7975\n4512 6289\n4050 15517\n1909 10420\n11892 15501\n434 9835\n4084 5569\n347 8201\n2563 12566\n1805 15704\n1072 8466\n12485 16625\n5244 17100\n8764 15548\n3428 7703\n4137 4583\n121 12471\n6642 12196\n5531 15486\n556 904\n16371 16549\n9766 10366\n519 12635\n9670 10541\n4680 9818\n10136 14157\n2236 5414\n4860 16855\n2476 8522\n2474 16961\n6171 9062\n11038 13242\n271 9853\n11378 14254\n7282 11823\n6833 7531\n3814 6863\n196 5017\n7248 13715\n12028 14090\n3011 15801\n6390 7910\n12488 17146\n7704 16049\n2620 12342\n1130 4131\n9832 11516\n859 13842\n967 7376\n7381 9996\n7721 14138\n4147 13164\n5820 11615\n6892 8420\n16486 16691\n1650 13880\n5377 7834\n7578 15615\n5884 15971\n100 3741\n1996 4680\n1191 7821\n10757 13423\n422 12856\n15859 17385\n8150 9572\n4859 9825\n602 9882\n1643 5038\n944 2111\n1548 15156\n16235 17180\n15078 15312\n227 13129\n7681 8752\n3387 14080\n1640 15559\n7322 14413\n7740 10566\n4142 6651\n1089 12357\n9436 11756\n489 14143\n1960 13682\n927 13288\n9009 9739\n13554 15439\n2924 11202\n7092 12298\n10897 12982\n2366 13020\n5048 16561\n10668 13816\n11579 11884\n372 15630\n3167 14791\n9341 12867\n255 5278\n1379 12037\n840 15732\n2275 14703\n6602 11651\n2858 5762\n4977 15479\n12456 12601\n165 16229\n9684 10220\n2615 10291\n8842 14812\n6982 9483\n10195 14934\n4621 8665\n8623 13691\n10120 13735\n11472 13565\n15280 17066\n3850 10812\n1690 14722\n970 12196\n2157 9486\n836 8794\n1142 10948\n12538 13861\n4210 7204\n13250 17123\n2159 13865\n8257 12097\n6681 7873\n1407 10975\n2070 2313\n2982 7854\n13158 13370\n652 4479\n5128 15387\n1483 1745\n3138 12539\n6250 12387\n12758 13543\n3699 13214\n5720 12311\n10186 14379\n7588 9396\n14764 15209\n8656 13183\n2088 12648\n1422 12421\n3286 16669\n3672 7392\n2357 10179\n8452 11264\n5718 13989\n4863 8465\n6840 12140\n6033 10970\n9663 16299\n12080 15976\n6119 10162\n348 10749\n9016 11242\n2099 10057\n3945 10636\n2564 16910\n4596 15738\n11891 13017\n5822 7178\n1118 3711\n12213 14510\n15890 16243\n1693 9872\n1077 12969\n3103 13877\n13520 14514\n3128 8855\n2502 9826\n10595 14206\n4986 5858\n12433 17315\n8156 13244\n8423 8638\n1064 5714\n6538 11998\n2350 16801\n10890 14370\n2801 13900\n5710 8690\n2717 8767\n13493 16975\n2600 8299\n11910 14164\n1694 17388\n5111 13340\n6572 14587\n2720 16761\n15400 17275\n11530 13665\n5963 15197\n14083 14323\n757 3341\n4767 7271\n10644 13436\n8853 16348\n4402 11568\n8091 12249\n514 7033\n2879 16821\n227 4053\n680 12538\n16215 16670\n16686 17063\n1876 10118\n7367 11466\n3083 11026\n15269 17203\n11532 13236\n9287 10501\n1473 3280\n2336 16881\n11210 14608\n13415 14930\n6808 12444\n1069 8620\n2837 16027\n12275 13922\n236 5748\n292 6327\n2021 15701\n6125 12117\n10053 15248\n5742 13612\n4189 7848\n2806 7761\n2092 7134\n5034 12174\n13170 17348\n185 660\n8140 12544\n1687 12435\n190 6324\n7200 10729\n6984 13213\n8614 10271\n1634 2019\n2629 7149\n6405 13953\n4184 12937\n917 1122\n2743 13713\n7858 10153\n7538 8124\n4845 13315\n4594 6058\n8749 9592\n1829 10668\n3088 11853\n2395 13340\n7127 9044\n2893 11597\n3804 9909\n6211 11345\n10716 12281\n5296 14014\n6497 16194\n6813 12301\n11118 12908\n2007 15467\n13929 16835\n2567 5681\n8559 11330\n9898 15184\n5849 8262\n7578 12798\n2495 9544\n10106 15833\n2053 13267\n946 10186\n5850 9160\n10884 13824\n8726 11985\n11365 14796\n1810 5694\n9624 16535\n10995 16565\n4545 10319\n6237 13037\n728 10778\n4105 9656\n1934 10344\n1229 2632\n2575 7242\n2395 2980\n7878 10242\n2756 8658\n883 6700\n847 10513\n1207 16139\n6450 12553\n8558 14779\n9928 12551\n2203 9423\n2859 2961\n12239 15446\n10406 11104\n5167 14903\n12159 13463\n1593 5033\n12412 17230\n1171 12085\n9 11152\n9915 17187\n8451 14992\n190 3533\n5100 15100\n6752 15757\n9208 16014\n1492 11326\n1346 12278\n2944 14398\n11197 16982\n687 7801\n7601 16375\n853 15000\n7291 12850\n7999 13723\n2569 10335\n8128 14116\n1386 11687\n5290 16322\n10230 10678\n902 13665\n6162 11631\n3996 12465\n2464 16641\n6352 10844\n1863 13723\n11111 15768\n4124 8542\n1699 12793\n3670 7885\n12219 16924\n3015 3866\n6569 14571\n3746 9152\n14127 15736\n135 1960\n9875 16900\n194 1780\n8904 12501\n4842 16178\n12748 13718\n14112 15405\n7907 11090\n8232 8975\n6013 7987\n15560 15811\n9568 12775\n5703 8320\n11552 11645\n6696 10189\n5017 10840\n4885 8986\n2116 13910\n963 7040\n1903 7551\n12565 13962\n1578 10848\n4411 7334\n4051 4064\n476 14174\n9889 16547\n7678 16266\n2867 13845\n2199 4317\n2673 9175\n7998 12841\n11336 17141\n9647 12695\n2047 12177\n37 14955\n7563 8318\n981 8347\n2680 5975\n4269 7101\n7757 10822\n3499 16119\n10669 13898\n11717 17380\n6351 6571\n1848 9828\n12165 15361\n1040 13707\n1005 12889\n1422 5819\n4799 11143\n5158 5756\n5253 6693\n12107 14096\n2726 4883\n6704 17281\n3695 13123\n8496 9956\n11329 15759\n2421 7532\n2905 10754\n12011 17097\n8633 12862\n4738 13859\n1705 15775\n3519 12813\n226 5542\n10092 15353\n1679 16443\n4170 4911\n9255 16460\n2060 12916\n2553 3748\n6346 14220\n4463 7712\n8068 13264\n977 1121\n5533 8813\n5259 9671\n15768 16044\n4103 5623\n4465 14967\n8752 16370\n3938 14714\n6083 6455\n481 8583\n6824 15763\n3229 16716\n6731 16271\n134 3341\n4633 7548\n6061 7472\n2997 4194\n2252 4688\n3593 12079\n219 10953\n7126 12842\n8974 9080\n6576 13665\n4510 5031\n10910 13172\n11936 14859\n933 2816\n12610 16877\n2153 3945\n12519 16739\n2055 11583\n12528 12613\n1445 5588\n3935 16861\n1269 12051\n1026 12046\n1598 6871\n3297 12727\n776 10544\n12964 15008\n7981 13305\n9157 13471\n13395 14683\n1687 12261\n10259 13831\n4378 16465\n6392 16360\n9928 13368\n1690 14754\n8172 15445\n12152 13002\n8666 16030\n3090 5301\n4907 17146\n3879 10057\n3017 13688\n5943 13293\n419 12771\n7388 16336\n5634 16208\n2124 14897\n8869 11676\n5504 5752\n4540 9609\n7643 16373\n5547 14298\n277 8892\n8503 14602\n1023 1899\n4227 4858\n3792 6920\n5946 16168\n14954 16248\n2124 8467\n11133 12449\n12796 14323\n2228 7571\n2423 13199\n1481 11745\n3736 16624\n5556 15565\n289 1871\n11527 13306\n350 5569\n54 8184\n10526 13850\n1641 10092\n10490 11191\n1530 2040\n4714 11858\n14065 14817\n4864 10365\n5396 14696\n11656 16234\n5315 9178\n294 6063\n3083 16350\n15152 16307\n5371 7380\n2544 9907\n4046 6179\n1139 15616\n5982 10891\n14197 15198\n10416 12455\n4629 7378\n5129 14133\n13748 13997\n6314 15921\n2204 3099\n6761 13245\n7895 11545\n5735 8423\n4763 16345\n5334 17030\n9836 10005\n1037 2110\n13716 14170\n11989 16397\n12715 14928\n741 16037\n5046 11949\n1492 5896\n492 999\n7083 8407\n1302 4927\n7978 8697\n2109 15149\n10721 15540\n4600 6651\n14888 17227\n586 1534\n1354 16845\n489 7253\n1868 11950\n168 9436\n8638 12109\n17174 17202\n7522 9117\n1668 8550\n835 2890\n4219 14572\n16504 16884\n4922 16411\n766 2648\n4434 6590\n1272 14975\n192 15787\n10466 13597\n12237 15515\n2886 15362\n1564 13118\n8549 13186\n6524 16854\n6247 10700\n13597 16096\n6414 14768\n1221 5828\n2570 17110\n12494 12820\n14592 14735\n13197 15610\n2104 6519\n9757 11501\n11867 14878\n2537 7748\n4069 15863\n9743 12182\n10773 13186\n4180 5450\n4981 5967\n1739 2007\n2428 15637\n15116 15164\n10655 13512\n6756 17145\n3127 7848\n55 6090\n1214 2948\n20 10583\n12823 13694\n10721 14255\n2290 10252\n1737 13549\n1690 9565\n3264 15998\n9404 16247\n3185 11715\n7177 16845\n2943 6396\n5444 15711\n8200 14652\n7783 14592\n3124 11102\n4441 11979\n3828 5574\n13327 15256\n1659 3665\n8760 14002\n8723 15319\n3824 11491\n98 13793\n7603 13026\n388 1781\n6208 6625\n9279 15812\n13557 16925\n434 17097\n149 9419\n6851 15733\n26 6018\n10181 15585\n5627 12875\n2509 17064\n5051 10540\n918 14072\n3340 13319\n11474 11862\n10184 10353\n908 11581\n2510 12328\n11196 12623\n5972 9581\n11526 14950\n4156 10663\n2656 16189\n566 14207\n6187 6630\n1090 2567\n10988 14246\n10212 16690\n1552 14498\n3097 10772\n3537 4805\n5622 12896\n2903 13162\n3819 8897\n1055 2128\n9929 11950\n3524 14563\n1328 10276\n1611 9403\n481 11497\n9550 13780\n3883 10376\n7050 13587\n102 17328\n9048 10818\n3017 16247\n11404 12153\n2090 14804\n11374 15051\n3497 4598\n15795 17037\n2156 7353\n3510 16211\n7305 15230\n4423 8361\n6330 14168\n5105 7147\n3238 5671\n13713 15473\n9765 17080\n6282 9400\n11160 16469\n11954 15217\n8496 15709\n345 2645\n8296 11073\n940 1393\n6641 17115\n13620 16214\n5195 17427\n6756 16463\n7485 13518\n12967 13041\n5748 13787\n5216 15705\n7967 8364\n4027 16674\n1216 12573\n5838 8852\n5247 14002\n49 13255\n5912 17148\n2394 8640\n1295 2809\n1707 8768\n11937 11972\n11952 17396\n7819 10023\n2888 3049\n9260 15475\n6994 7430\n2562 3756\n8844 8983\n13282 14076\n17225 17445\n4606 9938\n5933 10922\n10663 15350\n2869 3031\n250 12273\n4686 17267\n188 14068\n522 14449\n4592 15282\n4690 7954\n3099 16638\n13566 14091\n4460 5049\n4019 7665\n1247 13284\n11291 11459\n5004 13295\n2884 10266\n668 3052\n1898 12862\n2070 9733\n3633 11257\n320 16474\n991 9593\n16046 17025\n8554 9382\n68 15486\n2871 14410\n5338 7464\n1998 14180\n8873 16617\n2253 14439\n3857 16861\n1413 8291\n13777 16739\n2657 15703\n11976 16218\n17027 17205\n1289 9160\n1577 9145\n14680 16583\n8421 9687\n1010 13684\n8289 9553\n7891 11301\n473 14428\n136 9175\n3410 10374\n15143 16948\n10226 11834\n2619 3740\n12195 13174\n12156 17359\n6126 16728\n8687 15072\n4899 9004\n1665 2106\n12734 16508\n6422 13657\n12198 13114\n4902 12209\n2679 17342\n648 10562\n7258 16406\n15641 16888\n7814 8849\n5150 10088\n7257 8722\n4599 16137\n8767 10766\n9348 10556\n6041 9547\n593 13850\n1820 14865\n9523 12934\n709 9282\n12369 14047\n13448 15976\n9167 13847\n2947 5646\n2900 5508\n7046 14901\n805 13335\n10029 11930\n1755 8281\n6977 17424\n344 2978\n6801 15260\n11117 11406\n10316 16423\n9727 10224\n2675 13392\n1195 15523\n2995 9742\n484 13643\n7448 17369\n6050 12778\n5925 9036\n10509 14525\n1718 11520\n2017 9500\n6664 16073\n11195 12620\n7985 14991\n1773 15654\n8517 13617\n8759 12616\n1670 7150\n3119 5572\n4670 5969\n1363 8061\n1276 11665\n4524 7440\n2015 3097\n12305 12448\n5027 8652\n3096 13866\n2287 9006\n4403 12649\n10045 17078\n3576 6043\n8520 14506\n10893 16911\n317 8522\n1122 9374\n2362 5894\n4900 10692\n5817 16842\n2479 7181\n2 2794\n8692 12790\n13837 15727\n6013 14242\n3229 9662\n1413 2101\n6045 8663\n1498 13139\n5471 5515\n5672 10649\n1658 15439\n7531 17281\n1041 1882\n1570 6431\n1336 5960\n4028 8303\n7560 11723\n1733 4132\n7533 15963\n1901 13230\n2182 9159\n5288 17256\n1319 15247\n12261 13768\n4174 13169\n8874 10720\n4602 12281\n2274 17374\n1195 14026\n4064 10432\n3138 11567\n6695 17394\n9382 16595\n12035 13078\n8151 17354\n3643 6600\n10140 14175\n7357 16065\n5849 17029\n1898 10310\n11522 15318\n10455 12932\n306 13548\n1337 14915\n4665 12793\n6496 7253\n4832 9369\n1177 6911\n15561 15774\n9381 11776\n7897 13293\n3685 9302\n3338 9859\n5461 14787\n1830 11103\n6389 16972\n8663 13669\n2037 16463\n8402 11333\n1065 1802\n8039 16947\n2288 8992\n2006 12670\n9769 12533\n9340 11220\n3555 12899\n3626 12234\n8135 13868\n3488 11041\n13509 16108\n9346 12067\n7619 10263\n1951 16712\n3888 6226\n12170 14140\n11300 16152\n4725 8117\n14098 14766\n3066 8095\n2473 11557\n2563 16538\n492 8725\n5259 10600\n3540 8104\n3413 11572\n4549 7358\n9133 15761\n1581 2884\n1723 9746\n1809 8661\n13361 14738\n4395 9583\n7237 16960\n5393 7034\n8977 16993\n2372 12996\n8885 14595\n311 5936\n15876 17216\n5331 10615\n3719 4202\n5364 14806\n8333 9249\n7040 15415\n8843 16932\n14576 17257\n10960 17298\n1333 3341\n12004 13468\n10998 13257\n7320 7808\n11262 13534\n6467 6601\n1502 17302\n10908 14810\n15978 17035\n1615 11239\n7330 15372\n1264 12590\n2659 2964\n5875 7553\n919 15601\n3315 16938\n2112 17121\n3029 5904\n1334 9428\n5179 7087\n8363 13744\n778 16689\n8178 16271\n5620 8106\n8533 17290\n348 2440\n6546 7379\n7569 13154\n1427 17210\n8105 15147\n5556 15205\n8094 11074\n7718 8371\n5634 6475\n7097 16227\n1162 10869\n5524 6133\n11322 14086\n11661 15010\n1018 14524\n12923 15401\n13840 15915\n16428 16478\n7071 9235\n6895 9803\n4856 13127\n6036 6820\n11180 12910\n3881 15043\n6713 12548\n4850 10472\n8009 11550\n2452 6237\n983 4225\n16721 16957\n13773 14279\n2693 16622\n2139 4869\n3989 11600\n6028 6706\n9472 16345\n908 1074\n4745 10408\n6202 7320\n4256 11112\n6172 15511\n8687 15325\n500 2481\n9888 15830\n11192 12892\n1176 14121\n6367 8979\n5721 8939\n14678 14830\n8767 11981\n11387 14139\n6778 7875\n6859 16118\n2391 9906\n927 1888\n8820 17198\n1107 6746\n8703 10130\n6006 6154\n49 1657\n4354 15343\n4513 11229\n1842 4325\n10113 10238\n203 6022\n4007 11820\n8862 9998\n11600 15348\n12437 17074\n5936 15702\n5024 8880\n5127 10716\n3979 5884\n2330 10552\n4430 17060\n3200 5956\n10489 11800\n5461 9809\n3125 17349\n10480 13608\n290 14745\n1089 11223\n1770 14295\n324 6420\n9297 14663\n9051 15060\n7592 7865\n4604 15919\n2394 17379\n7646 7805\n7639 8105\n2824 12518\n4839 6969\n5903 14689\n2465 11063\n6859 15077\n8456 11043\n1536 9655\n14975 15489\n8806 8867\n11360 13439\n6544 10170\n953 3371\n11442 12912\n6926 7187\n6498 9901\n10403 15435\n1769 16715\n11964 14726\n6236 14122\n5079 8342\n4975 13973\n8824 11782\n13621 16214\n13015 13911\n6925 14815\n6804 14400\n11356 15314\n5876 16840\n3704 5920\n10510 11920\n2121 11090\n139 6523\n10635 16731\n7049 13372\n4608 11716\n7307 16121\n5517 7342\n3200 12002\n5841 16333\n7924 14306\n1520 7408\n747 15497\n16072 17128\n4586 16813\n2244 8066\n6474 13053\n14815 16556\n1203 14936\n16440 16522\n633 7892\n11450 12172\n89 16866\n1644 10040\n14502 15796\n1216 6796\n1112 5922\n6327 7853\n7806 12629\n8173 14693\n3919 13897\n1699 3970\n8670 16012\n5213 9760\n7219 12585\n418 8069\n4148 11545\n1497 5942\n7060 12108\n2289 11336\n3500 9042\n12782 13386\n2724 6616\n3806 16831\n2287 8268\n1442 14961\n4441 6465\n5756 15468\n11178 16035\n757 5626\n295 17077\n7253 11893\n4320 12174\n5159 9651\n3776 7784\n8496 14114\n2892 15605\n12605 13111\n6627 10367\n8755 14666\n2664 15065\n256 9653\n160 15918\n4135 4229\n6138 13390\n10217 15333\n9977 12376\n7655 11586\n6810 11238\n5853 17404\n504 4136\n1979 3566\n9273 9902\n1994 3758\n3411 6349\n8249 13988\n8433 14135\n6550 15590\n10791 12840\n14045 15297\n1674 14624\n11753 12526\n358 16703\n1833 11744\n9561 14231\n9829 10890\n6472 8753\n7862 11738\n8791 16967\n11132 16034\n4452 6248\n9965 10248\n5547 6476\n892 15512\n11246 11896\n8141 11336\n12972 15215\n12662 14229\n6088 15186\n4605 8989\n1043 6539\n3834 17060\n8962 11171\n6937 9142\n8993 11354\n9419 16828\n7043 10500\n15419 17363\n10352 15963\n15485 17179\n13829 13942\n93 10793\n13106 14510\n9100 13512\n561 9645\n4538 16567\n1380 7831\n7184 11198\n8045 9157\n6802 9260\n1221 15960\n2548 10728\n12222 12859\n2520 6619\n177 15108\n6280 13776\n2804 14180\n5956 12255\n13990 15347\n8978 13089\n425 9913\n6569 14518\n13495 16066\n2027 10724\n6984 15392\n10320 17195\n5103 15620\n13117 13305\n9546 15556\n12510 12951\n1623 8699\n3371 12999\n11504 15031\n2416 13249\n5258 6923\n14670 15454\n4228 5633\n8346 14002\n668 6300\n6964 15534\n13410 15628\n5134 11305\n11593 13962\n4783 9446\n7562 14296\n2875 6145\n5439 14375\n9578 14999\n624 8881\n11570 11989\n7501 10928\n3985 6586\n1749 16681\n6535 14755\n11553 14908\n589 6380\n4465 16238\n1311 11038\n7772 8016\n7785 8801\n2846 9715\n1150 8517\n2406 17208\n6995 15426\n6990 7202\n5543 11514\n14885 15969\n4260 12365\n2846 14719\n7296 7599\n405 17048\n1507 13077\n11803 14699\n4955 17092\n4506 6151\n8310 16963\n4405 14551\n10670 10945\n1045 14835\n6266 17094\n3153 12428\n5835 10491\n4212 7737\n5886 14247\n12325 13140\n5064 6492\n2049 8699\n4416 9454\n8042 14660\n1316 4633\n1523 13553\n12207 14792\n4743 9135\n11829 13074\n16714 17251\n1055 2498\n3825 16690\n838 15478\n9424 10969\n3265 16139\n10596 10647\n3693 4154\n3373 3651\n12624 14049\n579 11137\n4872 13755\n4839 5934\n14020 15047\n5393 8767\n9537 14699\n15064 15515\n1588 12806\n11553 12553\n7698 10457\n12853 15644\n4702 7760\n1508 14301\n2062 5305\n9302 15651\n5417 5635\n5380 16544\n2370 6383\n4359 11274\n13752 17207\n227 15779\n79 15815\n1293 4545\n6554 6977\n9360 15856\n4660 6029\n5972 13172\n7552 11930\n1092 13274\n4283 15331\n211 9356\n9934 17088\n14067 17091\n12691 17358\n2621 4391\n11441 14202\n17026 17201\n9330 15834\n790 3434\n7942 12972\n1060 6947\n2945 11179\n3338 6363\n10965 12932\n1612 13699\n127 12693\n6734 8963\n3016 12427\n8820 9114\n4539 16857\n4379 4845\n7303 11721\n6636 15221\n10992 13396\n1268 17390\n2918 11803\n1797 4371\n3814 16754\n11020 15251\n5038 6497\n968 15727\n6487 7242\n11462 12432\n7717 15945\n3159 16759\n11206 17195\n5282 5818\n9681 11408\n10524 15359\n7764 10287\n4180 14419\n3834 15415\n13101 17181\n3291 11228\n9483 13468\n7192 9167\n2890 10373\n2492 5164\n98 12749\n2921 6002\n7536 11728\n7299 13389\n640 6216\n6004 16483\n2172 4674\n5863 8899\n10619 10915\n639 9380\n6507 11026\n526 8332\n8273 8528\n5742 9898\n5943 9089\n2793 9756\n9366 11507\n5046 14410\n2671 9522\n7658 8596\n3964 16598\n4446 7360\n7265 12497\n9881 12087\n2760 11365\n1236 13971\n1598 13142\n761 4396\n6810 15269\n3013 12239\n7140 13166\n4487 7557\n10864 16557\n3642 10075\n2540 10917\n355 9235\n10597 13829\n15 7975\n12686 16361\n2770 13409\n7907 16202\n4824 12953\n2659 5251\n7676 16661\n12654 12779\n8039 13062\n8194 12788\n10882 11978\n758 12661\n5048 11070\n4863 13710\n340 17297\n4713 15169\n3250 15949\n1563 1783\n11567 16361\n10016 15892\n16806 17329\n1940 14828\n6605 8505\n7931 16796\n2170 3908\n9511 13799\n1049 7469\n4110 15317\n435 15796\n12877 16189\n108 11466\n4240 9841\n15700 17008\n1904 6852\n6960 15399\n1501 13984\n9560 12863\n10484 14820\n13404 16548\n1627 5092\n44 11622\n3540 13975\n8578 12343\n336 15491\n2034 7701\n13519 14522\n1178 9318\n3190 6730\n678 3909\n4682 12032\n1677 14390\n1346 16019\n6870 12945\n1535 8630\n15990 16410\n6735 12943\n2351 13279\n4923 14465\n6037 13585\n7419 15631\n13989 15320\n405 13303\n4816 17302\n8171 9284\n3728 10411\n968 11519\n1392 10826\n4819 13081\n3044 8979\n3036 17035\n1056 2992\n4886 8999\n15885 16823\n8920 11830\n919 8368\n2112 8809\n6756 7788\n6526 12648\n4924 10208\n8885 16988\n14318 15238\n2819 11706\n5498 13586\n844 4242\n7634 15653\n1933 13798\n5160 12858\n12992 14799\n4875 5193\n1020 6904\n2742 6511\n6060 14676\n4520 13545\n2376 7466\n10860 13155\n3431 16901\n8526 10164\n5323 14791\n4373 13261\n1697 11146\n478 6723\n9111 12021\n8748 12138\n3302 9951\n2217 14875\n14479 15906\n1081 12351\n13207 14532\n11614 13034\n4366 17411\n11761 15878\n140 431\n1757 16007\n5284 14515\n2468 2971\n5347 11450\n7438 9323\n8074 13228\n2738 9346\n10688 11988\n2506 14567\n2790 8436\n10541 13336\n4054 7113\n2973 7562\n4796 14936\n8438 11726\n521 7781\n2866 14837\n2820 17040\n723 10174\n4376 17062\n299 5558\n7531 9400\n10541 14354\n5580 13049\n9429 14680\n1030 14175\n8439 15093\n2596 6031\n9873 15918\n7787 15573\n10147 12742\n860 10433\n9452 11931\n2493 17240\n6644 15135\n10534 17438\n1897 17342\n404 7801\n13584 14516\n3814 5971\n5704 14621\n4745 15941\n6432 7366\n11574 15772\n3885 16400\n6168 7672\n2017 6897\n1334 3428\n3 3087\n3784 5317\n8009 9759\n6495 13431\n6039 15699\n12479 12944\n515 5055\n9285 12509\n447 6611\n1721 15182\n4859 9253\n2913 16665\n5066 10418\n6347 9766\n9392 9435\n5614 9068\n5267 9804\n6975 14806\n10519 16398\n8167 13131\n219 14689\n987 5492\n4445 15278\n10947 16741\n3047 6638\n11734 13870\n1468 7396\n11472 14622\n10066 16589\n2757 10452\n5217 6564\n11231 11280\n5590 8969\n2075 7063\n6042 7402\n101 2317\n1379 6303\n12075 13783\n398 9297\n9279 14579\n290 2555\n10520 13523\n11737 13181\n6040 15708\n5815 11019\n10439 15831\n1744 7918\n507 8810\n10038 11364\n10146 13498\n2826 14520\n7258 8000\n6893 11234\n6999 10125\n2004 16337\n5159 17184\n3652 8956\n1644 9148\n5578 17245\n156 16859\n10616 14333\n9062 13156\n2117 5862\n1748 3046\n5117 14491\n545 14550\n599 5970\n758 7649\n7491 15025\n816 9405\n9729 14744\n4110 10700\n218 5653\n1815 13650\n1700 14873\n1539 15216\n6703 13864\n5151 15646\n9793 10440\n3135 5039\n8828 10022\n1926 2326\n8992 12092\n11419 13805\n10639 16778\n4114 16280\n4615 12415\n9819 10981\n7332 10841\n1396 2818\n10293 17196\n7835 11738\n1173 8527\n7570 10713\n1546 2557\n2528 10287\n1552 13117\n8554 10284\n7292 11264\n5175 7119\n5796 8909\n6566 10986\n3225 7993\n1444 16834\n3323 5283\n1376 12571\n11068 15848\n9555 11364\n11619 13589\n10547 14163\n7346 13987\n14607 17335\n10909 14470\n5956 15984\n4353 8060\n1568 12100\n7093 8597\n1007 15167\n15117 15263\n6267 13701\n977 3716\n4441 5095\n4299 16275\n13963 17386\n1021 2993\n1078 1795\n827 11248\n3101 12637\n4553 12919\n6327 6748\n1176 2156\n5416 10302\n3633 16210\n3666 14095\n9950 15749\n12190 13078\n6170 10757\n11109 15184\n6597 7230\n1960 7996\n8691 16377\n9457 17168\n332 14875\n14516 14550\n2284 2402\n3553 13845\n5065 6196\n11737 14614\n12275 16713\n3471 11251\n2446 16859\n3620 15105\n4695 6193\n1352 12835\n8963 15996\n11003 14237\n887 14425\n12643 14527\n7095 7140\n4751 12123\n3293 13662\n1750 5187\n6647 7932\n9424 11374\n925 2201\n7501 17204\n808 15956\n5665 9894\n6361 12348\n1623 3261\n11287 11996\n5427 14569\n10456 16411\n4999 6454\n859 15937\n2625 6403\n2054 8489\n4393 13853\n10173 16764\n4082 6032\n4084 10230\n699 16781\n3092 16412\n6668 12816\n5795 11223\n3766 7231\n1257 5386\n3555 7845\n6267 8443\n11237 13309\n6646 9655\n12312 15219\n12379 13807\n2321 12395\n11717 16625\n333 10497\n5082 13641\n4277 11944\n11480 14420\n2323 9849\n2661 6778\n9349 14070\n725 9177\n274 10786\n2499 7145\n203 8089\n770 7286\n3227 15382\n8080 12363\n11086 13631\n941 14758\n10836 16211\n2197 14361\n9581 13707\n2804 8870\n4596 7611\n2739 16127\n3944 8001\n8445 15030\n908 7378\n1007 9597\n137 13364\n8601 11111\n5811 11127\n2772 5519\n1331 1977\n10979 14562\n8855 14673\n13211 14208\n370 9975\n673 1929\n5126 14472\n9515 16786\n10593 12481\n8341 9497\n4784 4865\n6566 7736\n3952 15565\n2459 12898\n11464 15712\n9242 15307\n9602 14968\n12093 14786\n10848 15525\n12452 13354\n5092 5613\n1963 5430\n15659 16003\n1457 14716\n8411 12869\n13199 14034\n3711 14928\n12159 13198\n2629 6068\n10946 15099\n1735 8865\n5880 10944\n3573 15964\n3723 6149\n1865 17006\n1660 7271\n570 3434\n4938 6311\n934 11705\n14 11595\n3616 10287\n4118 13319\n3591 14347\n12397 16965\n4280 11814\n2239 7392\n7565 11746\n10593 10946\n11649 15290\n1674 5806\n4933 15079\n8127 8508\n5340 11700\n9924 13859\n13696 15087\n998 4968\n2874 17052\n6656 12161\n6801 12996\n16071 17196\n5712 11256\n8367 10230\n5408 5999\n4929 11355\n13311 13421\n694 1454\n8455 11975\n17063 17196\n11506 13217\n1470 2249\n909 1259\n9464 11731\n7285 16875\n1919 2304\n1367 5030\n5449 5722\n13757 13981\n6067 17033\n7771 10386\n1678 5767\n11568 12055\n13779 14008\n7144 9372\n10174 17241\n1141 3096\n6928 11450\n2894 13026\n867 9978\n1734 14359\n1663 11980\n9878 14720\n13862 16208\n5606 7255\n302 916\n9832 14232\n3104 4793\n6472 8888\n8579 16755\n7422 9000\n9164 16027\n4186 4645\n14578 16107\n7191 14063\n236 377\n8141 12037\n10821 12769\n2610 8550\n107 11565\n7331 10257\n11175 15645\n12183 16575\n9764 13358\n7230 9504\n9606 11787\n5690 13923\n2132 13285\n7397 10167\n6992 8238\n15726 16507\n440 2799\n6172 9541\n11917 12460\n4367 7454\n6806 17425\n1683 13014\n9623 16605\n2101 5207\n14961 16468\n15974 17404\n10691 14668\n17286 17325\n3536 11868\n17195 17414\n3644 16196\n876 1890\n789 3970\n8298 10068\n13470 14501\n1062 6327\n446 8235\n1140 10435\n12212 12624\n4279 7260\n11343 11391\n8575 12235\n8251 9332\n1088 1943\n10449 13107\n4087 12145\n14587 16525\n4203 16775\n3699 11779\n474 10169\n5435 16750\n4080 16056\n8564 11286\n11028 11610\n12909 13727\n2056 8095\n8989 16752\n4995 10857\n5684 13231\n4997 15559\n4129 15986\n3110 9204\n15338 16908\n4532 10638\n2385 7334\n5302 16458\n6049 7694\n237 13576\n1820 12057\n8969 17362\n12125 14519\n251 10958\n7945 11167\n12577 16863\n10962 17300\n6746 10601\n1983 16640\n4371 17007\n14399 16791\n8136 9765\n8235 9646\n3344 14477\n1754 9796\n7903 10809\n9045 11508\n10823 16999\n1437 16953\n8625 11417\n1199 8580\n3942 9292\n11515 14080\n3673 11279\n10018 11826\n2045 6535\n7403 12995\n2732 11092\n379 1570\n5016 7558\n1494 8941\n6287 6309\n3825 10892\n11893 15004\n7861 17439\n8501 14030\n4798 6362\n37 12120\n3846 12859\n2220 3612\n404 7138\n4231 9145\n8460 14985\n9212 15626\n6057 10859\n8184 9731\n2463 9582\n10711 11731\n4809 16480\n13445 16465\n1134 14367\n11150 16390\n10666 15435\n4337 5042\n5751 8190\n4475 5371\n5665 12100\n16575 16798\n6562 7376\n8784 10002\n5318 6187\n7514 8695\n1328 4289\n9454 10860\n4464 9118\n3995 5541\n707 4288\n1033 7017\n8021 12891\n2644 8537\n7150 15707\n6867 7046\n1863 12553\n11997 12132\n4410 7400\n11816 13592\n7896 10047\n10186 12909\n1564 3542\n4363 7416\n4000 4445\n8227 15530\n15772 16804\n13089 17382\n5023 5187\n4609 7225\n2020 7928\n3568 8743\n2274 8836\n9237 16662\n5782 17279\n11542 14177\n752 13527\n1536 9331\n8324 9387\n8329 15457\n796 6577\n14995 17290\n8604 13958\n1383 15576\n4242 16467\n105 14973\n5465 15585\n1409 11923\n6405 13469\n8590 17372\n8633 11394\n3381 17126\n3615 14992\n1021 15051\n15291 17071\n1011 3295\n4841 7588\n41 12542\n7637 14345\n7033 13079\n7407 16276\n7668 12359\n310 13284\n6441 12629\n6473 9053\n7189 14020\n9373 11491\n3578 11027\n352 5585\n6609 16863\n1391 1649\n6304 8550\n1513 9576\n10482 15853\n8004 10217\n10043 10160\n7745 12798\n3476 15921\n5452 12480\n3454 9464\n6736 7043\n11654 15557\n145 15881\n5501 12004\n5599 7177\n10956 16148\n7118 17248\n4160 16998\n1994 9832\n3448 11070\n10305 11875\n8814 17218\n5510 8356\n8754 10471\n2351 13815\n4530 14383\n6156 6330\n7749 17456\n4469 11160\n1079 12876\n3481 4778\n7354 12445\n5817 14521\n1392 1827\n6954 13871\n302 7657\n3676 8135\n1861 16174\n1419 4615\n275 15393\n1126 16525\n235 13553\n8856 15157\n2419 7895\n5672 11278\n83 8897\n101 8028\n5928 12597\n1203 7379\n221 8353\n1847 8830\n6213 10753\n5734 8563\n1364 15151\n3236 7365\n13388 13641\n12774 17414\n226 6090\n844 11642\n9505 15614\n8101 16444\n12480 16139\n6349 15882\n8359 15031\n10502 11531\n2298 11227\n5139 9940\n1866 9495\n9895 15317\n12126 12173\n2714 6773\n3151 14194\n5267 13205\n2379 10367\n9177 10389\n2562 2714\n390 12291\n4566 5876\n12459 16953\n13050 16564\n5130 8473\n9257 13649\n2093 4739\n3699 11473\n11788 14276\n2488 8430\n9949 13061\n12307 12529\n1886 4031\n2484 17315\n3155 12878\n283 9791\n8967 16189\n1157 7612\n6893 7200\n6271 9224\n31 1592\n1807 12695\n6196 9726\n1427 4290\n6146 6378\n7860 17432\n2081 6367\n4017 11992\n2149 3257\n8424 14875\n2467 6726\n395 14861\n8876 12462\n991 17150\n219 3707\n15489 16732\n6391 14089\n12125 17162\n6065 10387\n1280 13024\n7310 15816\n5904 10544\n447 6398\n4757 6272\n428 7825\n4876 8643\n9961 14503\n16172 16370\n4366 13193\n7175 9159\n3326 14807\n3477 17037\n1332 10063\n7209 14652\n2900 3146\n7901 12708\n916 11091\n14929 16028\n2280 8080\n6144 7294\n579 10055\n5315 12500\n3483 16120\n5948 8956\n8084 16490\n10045 10585\n4575 6727\n225 9373\n13094 15445\n1373 6359\n13835 17337\n1641 2003\n10175 16887\n4233 15877\n7865 9466\n7338 15087\n3965 12388\n5764 7466\n9687 17138\n7064 16266\n5470 17364\n9884 13020\n8075 10790\n9065 12825\n13524 14536\n10346 16118\n2064 13838\n7763 14350\n5914 12536\n14886 15540\n5654 9764\n4193 13376\n12 7482\n16178 17042\n2618 15418\n5790 15738\n10010 11722\n7791 9518\n3443 10172\n10247 15346\n3432 6739\n10007 10646\n2979 13518\n6280 7141\n3288 5885\n4670 12180\n1862 5432\n881 2138\n1838 5767\n8053 16779\n9483 12436\n7083 9291\n3145 12052\n5021 12593\n3950 12003\n10050 10484\n7191 8531\n12006 14520\n2085 7950\n10156 12352\n1098 7316\n750 15654\n1091 5034\n12134 17386\n14806 15531\n110 2351\n492 12865\n589 12660\n1822 2864\n12731 15253\n1039 8892\n3274 9086\n6512 17129\n1737 14675\n592 1113\n18 5361\n4332 6673\n5165 11973\n2932 11794\n7801 11954\n1777 8585\n1237 14909\n3332 13147\n4981 5619\n12544 16412\n173 16832\n7194 7378\n5020 8945\n2295 16454\n6065 10667\n4043 12179\n10471 12316\n3728 3822\n8127 16640\n2339 16922\n1785 4451\n8185 17375\n12976 15217\n7645 8828\n7157 16255\n7637 8586\n5599 12444\n4100 16144\n11433 12111\n1830 8724\n1239 6996\n1722 14189\n7931 15753\n2642 6727\n15686 15703\n886 14592\n8909 16329\n1304 13649\n8306 16673\n4883 13108\n11701 17300\n1933 10705\n390 3424\n3903 16725\n7515 11046\n6472 7941\n10937 16111\n11423 13298\n86 3056\n16706 16747\n6202 7130\n6214 9144\n3893 7791\n3939 13505\n7624 9914\n4094 6698\n3222 13431\n8203 11850\n8598 11041\n1223 7923\n13339 16335\n14207 16900\n12685 16965\n5914 14864\n11070 11240\n6906 9048\n9617 16297\n4984 8937\n76 17431\n6483 11832\n3575 7852\n5585 15244\n13799 14343\n561 1449\n15901 15948\n11109 11205\n807 15072\n8266 8293\n467 11232\n5415 6219\n8812 13471\n10220 14583\n5963 11813\n11244 13076\n1898 8845\n6135 8108\n2465 2624\n8742 10572\n3961 4258\n4888 12193\n1383 8267\n10281 14996\n1535 11263\n8620 11664\n15870 16173\n4864 6862\n4260 14772\n1208 11363\n5162 7908\n6428 10137\n340 2135\n279 12755\n8070 15816\n7479 9943\n647 1965\n6133 9816\n2106 2329\n938 14669\n3638 12866\n1846 13077\n2358 9769\n5289 14645\n3114 14667\n1690 6991\n14043 17191\n6617 15940\n2008 2603\n6082 6827\n4716 13256\n4418 13963\n2808 13191\n2596 10479\n637 4378\n7526 16954\n10924 13579\n10441 13711\n3443 15482\n6137 11217\n13303 15141\n9973 11597\n4907 16845\n11300 17143\n6584 11421\n2702 9721\n1356 10237\n6484 7320\n6702 13108\n13890 15102\n252 11001\n7555 13783\n9176 10682\n5985 10478\n3298 12540\n5013 9202\n11181 17381\n1820 16569\n7741 15709\n3524 13784\n4517 13713\n1530 15361\n5752 7148\n6631 11988\n7861 16197\n9901 13496\n1025 9288\n2956 16794\n15134 15530\n12233 15541\n7678 14100\n2791 10244\n14518 16668\n9118 9422\n922 16158\n890 14282\n897 10902\n8969 11877\n10237 13791\n7163 7226\n3184 12734\n8271 15505\n13322 16285\n9276 14303\n5823 13837\n2736 5132\n15361 15905\n6224 13045\n3698 10638\n9493 12281\n7057 16431\n5371 13898\n11439 13561\n3000 9355\n1949 3436\n2426 9054\n8466 16850\n8128 9069\n9431 12559\n7489 11192\n6344 11446\n1862 10901\n35 6281\n3113 8471\n7178 15385\n1598 6338\n1451 4102\n13450 16757\n4385 11616\n9807 10566\n9669 11076\n882 3084\n11118 11431\n3060 10862\n12857 17074\n2594 6676\n8327 14690\n12559 17285\n8280 11338\n11353 14359\n7877 16556\n8942 15923\n3869 14658\n1644 9632\n3168 4786\n7769 12157\n5472 15002\n5814 12521\n9916 9986\n2460 6471\n12346 15722\n10464 16084\n4250 11779\n5855 7564\n160 12548\n4024 7033\n9348 15117\n6695 11368\n12148 14805\n12232 16769\n2460 10526\n10469 10730\n970 16967\n2936 12899\n11538 15299\n15151 16271\n4958 17272\n2211 2231\n846 9891\n3878 13502\n10127 11184\n673 13058\n1460 16913\n1469 5613\n2592 9171\n15053 16447\n12676 16499\n2513 3914\n268 5401\n4026 14366\n8150 15130\n871 12930\n7557 13034\n5149 16029\n354 5731\n12509 14310\n6085 8707\n13477 15018\n3140 7043\n9146 10639\n2895 9268\n335 3371\n4218 6145\n3157 4311\n2424 10450\n1619 9854\n2055 17264\n5777 7927\n8149 15824\n2747 8224\n2440 13060\n4862 10159\n887 4512\n11222 11396\n6335 6655\n653 7990\n13699 14542\n10009 14260\n6098 10235\n3527 14353\n1953 7122\n4956 13393\n2095 7823\n3186 15469\n15659 16007\n6349 16419\n5182 11741\n529 3502\n418 3766\n1106 2859\n5173 13728\n1353 11618\n2761 12019\n8559 15345\n11110 15314\n1857 11419\n13893 16382\n3481 15499\n8593 11905\n1353 16401\n8804 15183\n3923 14068\n1116 9654\n16081 16266\n2664 12018\n5927 8816\n15700 16534\n1436 17147\n28 13197\n2825 7148\n11266 16614\n8538 13605\n7056 7890\n3203 17264\n12553 14444\n14599 17204\n5808 10156\n1497 8264\n5697 8814\n2752 12241\n10062 15468\n4470 6115\n1296 14111\n765 3939\n1411 5717\n10952 15593\n905 17314\n2292 2952\n5939 13444\n674 6282\n3617 16146\n3111 10016\n3083 11146\n13145 16487\n11 12890\n6780 10074\n3337 5542\n10722 13544\n14245 16356\n677 6708\n7408 14962\n7717 10588\n1512 5022\n346 4213\n5965 6809\n2521 7774\n4092 12715\n292 14847\n4757 10916\n594 7339\n3614 15211\n3918 3919\n767 7734\n6955 16398\n13639 15993\n2819 3977\n6104 12643\n2116 2955\n469 14762\n865 14570\n11411 13946\n1616 13756\n3923 4300\n7381 12305\n11121 13760\n5962 15684\n11506 13005\n11548 12972\n1655 12265\n13762 15806\n4217 7283\n6467 7302\n4965 14334\n10716 14708\n7465 10850\n834 6361\n7472 9362\n7907 8703\n2377 10823\n2121 13452\n3432 13300\n1380 9506\n4062 16324\n5337 13588\n6349 9981\n2495 5046\n8636 16115\n10240 10859\n7647 11025\n7323 11675\n2678 11077\n7276 10829\n1815 2648\n6188 13863\n4205 16359\n9166 10593\n14377 15863\n5630 9526\n15302 16785\n4004 14306\n856 17402\n1039 2922\n14877 15634\n15050 15335\n10510 10729\n1816 8123\n460 8527\n4089 13601\n5940 8176\n2108 9453\n5477 10921\n4878 9793\n4577 11710\n7291 14661\n8872 17141\n4564 6576\n8566 16623\n6969 17221\n1046 2299\n859 9552\n6722 8321\n2069 6233\n3799 7463\n3111 15462\n260 16366\n5229 13444\n8590 17305\n13481 15033\n7946 14423\n7505 8227\n11512 12287\n724 16727\n1180 8936\n4582 9232\n1090 10084\n6070 14458\n6897 8729\n6615 16482\n58 6796\n6290 14381\n1707 3115\n1589 9185\n5803 5966\n1465 16501\n654 1794\n9174 13253\n9173 13887\n7380 10357\n9330 12773\n8280 13204\n3221 9158\n6878 12929\n48 13454\n13119 14121\n7442 13185\n10604 13378\n357 6446\n7487 14461\n1684 12158\n8092 15152\n4844 14575\n7776 15176\n753 2258\n11686 13545\n16064 16362\n6201 9754\n4263 11335\n3796 14430\n6296 14985\n14275 14610\n3932 11187\n5811 15392\n3370 6140\n1231 7558\n4257 11455\n3333 10606\n678 9548\n411 16950\n4881 11854\n10609 11893\n1014 12646\n549 9440\n666 14944\n6708 14514\n3363 12017\n4797 7222\n15771 16759\n3670 14060\n10665 11160\n8268 14359\n13118 15743\n425 7177\n3164 6037\n951 6213\n13045 13090\n3059 13913\n13908 14572\n4908 5493\n1291 8109\n839 10454\n5705 15812\n14266 17251\n2484 10065\n4233 5119\n566 8118\n11156 11275\n973 10784\n2254 11729\n6684 8609\n684 1367\n2145 12736\n9659 12033\n5982 12432\n12499 15874\n2853 11865\n11193 17119\n8163 15720\n5192 10476\n1082 10576\n2360 6651\n8340 15974\n2444 5664\n8067 9029\n8076 16132\n738 8029\n676 7646\n355 5865\n825 6066\n4579 17458\n3238 4985\n12590 13616\n7382 14648\n649 2984\n9854 13062\n11507 14476\n10751 15687\n4674 5421\n8559 11862\n1081 17189\n7752 13341\n571 12701\n13029 15191\n2593 10559\n4699 15477\n6680 16479\n5029 16102\n7695 9575\n1364 10708\n3864 8103\n8978 10628\n8323 8796\n3569 4867\n13801 14424\n8002 15913\n1534 12463\n3964 12045\n3900 16661\n7877 9492\n3474 6737\n344 8495\n13874 15021\n9828 14033\n6542 17449\n7852 10819\n6134 13247\n5699 10935\n12169 16247\n8019 10492\n3172 9037\n1540 6031\n14526 15850\n2567 15430\n799 2247\n5752 10004\n7153 9501\n1597 14124\n10035 17160\n2298 7843\n1974 16615\n335 6889\n519 5130\n2246 12413\n13751 15554\n6737 16125\n11066 15588\n12167 12608\n6548 14623\n10797 16062\n9181 12406\n3505 8712\n2726 17409\n11686 13273\n8485 8842\n3276 9791\n8205 12043\n9632 10614\n12446 15463\n2111 10655\n5364 14272\n8488 15298\n5197 13476\n1800 11208\n6144 13737\n7219 8324\n2064 6887\n2054 2110\n5212 13893\n1877 9422\n1526 2362\n907 1323\n5371 9050\n6458 7698\n174 6587\n12675 14009\n3052 9118\n1922 6292\n1032 6252\n12834 15199\n16518 16615\n14483 15816\n3504 16078\n7697 7799\n7574 9405\n13466 15941\n8370 12852\n9266 12263\n4137 10196\n3998 4902\n3904 10501\n8849 10518\n5741 12384\n5093 5445\n2030 7706\n7691 8388\n11036 16986\n5937 9438\n74 1700\n3572 5445\n7854 9312\n2771 14339\n2809 17045\n10668 14750\n5161 6294\n3568 16845\n13897 16883\n90 6008\n2192 7931\n8314 10505\n13101 16684\n8675 17183\n4159 4161\n7831 15972\n5643 10572\n1030 7203\n1608 17391\n6788 11223\n4311 11947\n1477 6605\n2816 6479\n2369 8026\n346 2400\n4875 8293\n4495 15427\n6021 14882\n2289 14147\n11892 14830\n862 2844\n1604 15513\n4874 9567\n6797 16073\n10432 17075\n1391 5555\n7149 9206\n11404 17283\n5429 10481\n1536 3474\n1550 15786\n6957 16744\n2347 16392\n3971 14938\n10886 13103\n162 10291\n7939 12527\n4668 10161\n6766 12454\n5341 11564\n2856 17298\n1964 4854\n8244 13695\n4362 7432\n6814 14485\n10872 10873\n2098 4887\n11896 14608\n7354 10608\n5100 7348\n13488 15848\n377 13711\n1262 7203\n12506 12615\n1048 3625\n9866 16884\n7860 12491\n4372 14600\n9312 10508\n4939 7330\n10426 13422\n7260 16153\n8065 16838\n3233 16579\n7702 17157\n1073 14810\n10698 16435\n4668 7155\n15932 16677\n2350 11539\n15902 16927\n10850 11738\n1830 5131\n9845 15994\n1815 4186\n4053 4188\n3750 10941\n4311 8295\n4889 8345\n114 685\n2345 8350\n682 12645\n5102 7810\n8667 14150\n7262 14126\n3478 9717\n1553 13514\n6653 13727\n9863 14284\n15220 16898\n5638 11410\n7109 11941\n6549 11872\n12798 16786\n5461 6726\n7635 9281\n2369 8662\n2931 5262\n520 9156\n530 15493\n3774 3786\n3476 12285\n1734 3332\n2570 13076\n7606 14738\n4545 6097\n16543 16697\n682 11903\n1126 15740\n1385 10262\n13835 16296\n3697 12897\n7604 12378\n4556 13774\n14819 16509\n14778 16129\n493 17047\n4898 15611\n3037 10632\n2715 4353\n10160 15503\n4513 15513\n3385 7241\n5256 15945\n6232 10516\n13046 14444\n2728 4425\n15888 16978\n1865 5194\n3224 7110\n696 10722\n5764 15204\n13732 16040\n6434 12995\n9222 10535\n4374 5339\n2962 10847\n6977 7771\n4320 14116\n3722 13096\n6102 17047\n9857 11020\n11280 13421\n5209 10536\n7118 13084\n10886 11648\n2243 17002\n8202 11666\n1845 5778\n10397 15306\n7052 9525\n4164 6106\n5848 9297\n5559 15505\n4089 10575\n2511 7589\n4261 5509\n5664 12675\n7643 15999\n795 9309\n88 2708\n428 631\n15682 15955\n4690 6189\n8217 11853\n7868 17158\n8331 9872\n10521 12278\n4650 11003\n392 6008\n2853 10997\n3306 9160\n4532 7683\n1034 6573\n3585 13313\n3840 7466\n2928 13748\n4316 4353\n12567 14926\n6294 17395\n9009 16221\n7409 15645\n7353 14420\n13625 16952\n17031 17268\n7738 13923\n1409 13353\n8334 13880\n3723 10835\n10721 14418\n1375 16169\n11114 14450\n14021 15221\n11337 12619\n6758 7746\n2211 4423\n11920 15652\n12965 15531\n12656 17239\n9826 13795\n857 8527\n10070 16274\n1952 2174\n13243 17208\n5868 11846\n1276 12578\n569 3019\n14364 17168\n2452 4955\n7218 8218\n7143 11896\n9596 13917\n6669 8280\n12462 15987\n2052 5846\n806 3381\n2496 4617\n10940 11568\n11266 11605\n5956 15458\n12064 16298\n6183 13764\n8660 10016\n9397 10928\n11746 13370\n972 12846\n5554 12172\n3133 11107\n5949 17159\n569 6737\n6968 17001\n3603 13616\n6421 12136\n7245 7604\n4516 7839\n1722 5003\n1158 5737\n146 8222\n10145 14935\n1554 14839\n3204 9564\n6554 12876\n8024 15455\n4562 13434\n2502 10714\n568 15555\n2960 12921\n3502 14141\n6511 16792\n6025 7108\n2392 8810\n4235 5647\n4811 7461\n10112 14557\n6039 14124\n3230 15463\n16403 17437\n3628 12340\n3273 13798\n13572 17452\n9236 11141\n1294 14206\n12597 17291\n11277 11605\n3429 6131\n14507 16983\n6052 17266\n1035 5265\n7678 14428\n301 5465\n5634 9955\n2887 5665\n9059 12151\n1597 16087\n7661 10636\n3075 6110\n4696 12340\n7207 13527\n7829 15428\n1857 4775\n8394 17399\n7146 16180\n6793 17458\n10039 16513\n1549 1990\n1030 1785\n3114 4531\n4436 9430\n1203 2524\n8304 13154\n3522 3868\n5534 9372\n877 10987\n6906 15411\n2307 6549\n2968 10344\n4492 11267\n10875 12261\n4455 8254\n1291 14715\n6010 8103\n12213 14049\n910 7170\n2657 11900\n10195 11717\n9850 15890\n3111 17048\n782 8811\n5563 13042\n3037 5400\n1016 7929\n6735 11676\n4438 8418\n1387 11710\n1408 13505\n3316 9784\n3607 16842\n14669 17079\n6371 16415\n10933 13280\n8449 16995\n2194 8719\n7189 16426\n3205 3608\n2566 9709\n4126 9888\n8137 16348\n2136 12776\n7295 11474\n5737 14274\n8515 9753\n1187 7489\n1831 14602\n4360 7297\n2255 15328\n1862 14321\n6708 7579\n9589 10280\n299 3734\n10061 14871\n1063 10037\n379 2648\n300 15945\n2172 7915\n548 2824\n2022 2210\n3690 6890\n4235 8793\n4583 7735\n9404 15786\n6681 16349\n7282 16028\n706 14916\n6239 9712\n10910 15816\n12682 12809\n3782 11290\n9843 15603\n2056 7312\n7927 8551\n8854 11440\n12111 15401\n9161 13702\n13650 15026\n14240 16927\n3845 9152\n3720 12545\n6331 13905\n10324 13738\n14841 14891\n2104 5479\n3026 7206\n8386 9429\n5568 15632\n14813 16098\n4906 8624\n6482 8990\n5591 14245\n6060 8091\n7805 10019\n1648 15618\n5588 7754\n9749 16997\n159 757\n4428 6782\n5033 6422\n5530 12651\n3099 3414\n1124 16242\n5514 10766\n1508 14982\n666 5520\n738 12792\n9936 14923\n14740 17247\n12429 15568\n5389 15887\n7477 12073\n11469 13304\n4917 11537\n6092 7474\n3780 12127\n6352 15424\n1057 13997\n5342 6065\n10188 16488\n177 6682\n3938 8339\n1630 12861\n3479 17013\n1438 8477\n4686 10603\n8600 10018\n1419 5170\n8986 15371\n2663 5063\n4395 5097\n2827 10989\n6605 14489\n11271 16963\n7537 14523\n2231 14198\n3451 11102\n13507 17391\n2157 3024\n8992 15766\n3877 4987\n993 11496\n8530 15276\n8539 17439\n4490 4813\n12588 14804\n1649 15586\n4028 8951\n1763 16423\n212 5341\n7554 14567\n339 16141\n3937 16769\n9963 10305\n4542 12664\n7597 13739\n5763 8354\n3982 14978\n13800 14152\n7717 9167\n8478 17293\n7994 11223\n3422 4187\n1781 3160\n1533 9519\n2964 4324\n3152 14466\n1825 3985\n8748 9736\n2036 14170\n12469 13878\n5364 10108\n9 5863\n8022 16629\n13437 16347\n2947 15317\n13813 15172\n9488 13089\n5595 15431\n4978 16462\n12347 14788\n3887 15224\n1235 10267\n2669 8964\n10483 15220\n8717 15228\n5115 7053\n9565 14941\n6987 11873\n4601 15945\n407 8619\n5051 13205\n9807 15537\n1963 6594\n6146 8996\n13556 13652\n5201 5929\n5916 10484\n11358 13363\n2535 17185\n303 11919\n8066 16087\n2226 15837\n8130 13768\n6237 14032\n16262 17428\n1957 9029\n1615 4345\n4661 12247\n3786 5549\n15831 16106\n15944 16872\n3312 8900\n6604 14590\n9079 14793\n1333 11870\n5043 13760\n8061 12318\n5328 8604\n14213 15814\n6407 14833\n7929 17054\n14774 15434\n9003 16688\n289 11921\n4753 10147\n536 15017\n6261 9910\n3964 9391\n8223 13256\n8235 13148\n7016 7791\n5086 17031\n8266 13354\n9244 15638\n9029 13160\n11282 14040\n7157 16474\n9012 13141\n10793 16994\n5961 12763\n1996 4990\n3228 11379\n7262 13601\n7483 15926\n4282 13309\n5765 9289\n2294 16779\n3027 14012\n4262 9803\n11382 13370\n2723 9624\n2517 7671\n9658 17460\n3025 11842\n1565 3534\n13151 17347\n6229 13752\n10711 11933\n8750 9895\n5210 16258\n1171 12315\n436 17350\n11501 12294\n16090 16989\n545 13995\n4143 11445\n2883 9541\n6748 7535\n15207 17354\n3218 9240\n10265 12236\n174 15299\n3193 3676\n2077 13207\n12861 13708\n2289 14347\n758 13464\n5310 16978\n3304 10587\n5135 10588\n10060 14567\n4954 12372\n8815 13522\n9064 17262\n5103 14151\n2613 10031\n4530 15927\n7353 15744\n7111 15088\n9257 14521\n11253 16489\n7863 13486\n1179 13974\n8471 14042\n5259 13495\n5000 16308\n3049 6751\n4516 8421\n2810 8647\n6787 10599\n15991 16194\n4284 15967\n13264 16857\n8339 10232\n555 13632\n2309 15457\n3490 16706\n1238 10304\n9017 16911\n2809 12825\n3066 3874\n3523 13353\n7711 8370\n1620 4655\n5900 7236\n4622 15296\n10544 10758\n6685 15232\n125 13437\n9184 15526\n5900 16735\n1506 3324\n9130 14420\n12460 14543\n3186 5790\n14953 15178\n5937 13371\n1714 9689\n8182 12245\n8642 10608\n8689 10627\n4557 14934\n7450 7599\n5407 7968\n7789 10762\n10882 14395\n15152 16151\n8221 14199\n11767 17075\n4756 14058\n6649 7138\n5562 12279\n3307 3341\n11582 15715\n708 13300\n1145 6705\n110 5056\n2086 6195\n8885 9221\n9530 16348\n4817 6945\n3092 8217\n5487 9305\n5634 7115\n11595 13483\n2812 5985\n7131 14830\n1048 15539\n6612 7735\n3049 16374\n2634 9575\n5445 12599\n1875 5273\n5571 17161\n6036 6826\n5496 15256\n4841 17369\n14366 14786\n11815 16080\n3930 15097\n11281 11476\n16174 16774\n167 12481\n1396 5241\n7042 7097\n10057 11124\n1600 11690\n10231 14220\n8576 14969\n9412 9735\n7051 12174\n3458 15355\n8219 14431\n979 5352\n939 3264\n1306 1658\n5208 15995\n2670 14277\n785 3501\n10106 10194\n5587 8273\n12668 17052\n721 10930\n120 9667\n1753 12847\n8792 16450\n9798 12681\n8385 14394\n1042 6868\n669 16323\n1975 11967\n3527 10196\n3627 14542\n4115 8167\n6744 6969\n17178 17248\n3572 4771\n5569 9968\n6429 9143\n13132 14960\n10399 10571\n9270 13392\n3231 4937\n12436 14463\n2492 12078\n3449 17305\n894 10813\n4651 8996\n13673 16754\n3441 8742\n7270 17178\n6211 14661\n4050 4514\n5149 9705\n2030 13291\n15344 16180\n719 10776\n8340 14066\n5127 16303\n3080 6073\n7476 9277\n8194 16657\n5000 11017\n7402 14841\n4644 7180\n406 15221\n3983 13528\n15907 16596\n13236 13889\n16161 17355\n4238 8827\n6046 8713\n13533 14045\n748 11491\n4077 14048\n5306 14283\n1177 7764\n13616 16473\n15592 16566\n7315 7532\n7545 17274\n11183 11855\n7286 13321\n13596 16088\n4496 12815\n1685 3996\n4443 6201\n3124 10433\n3773 14093\n2253 7777\n2430 10038\n1504 8918\n3606 8136\n238 11282\n4083 12153\n13486 15102\n4819 15990\n7181 12995\n2109 15099\n9211 13779\n4087 16101\n9085 14297\n474 14059\n5000 14222\n7724 9117\n8408 13532\n9986 14366\n1445 6523\n5266 14430\n10258 16606\n6173 12300\n11397 15548\n12326 14978\n1187 4018\n5543 17138\n4001 15233\n2114 6037\n267 14539\n10 11499\n8854 13946\n3709 4564\n8635 10887\n10090 12647\n1903 12075\n4241 10127\n12134 16074\n7377 11040\n8166 9274\n7526 10461\n8931 11203\n6910 7060\n3661 9120\n890 6076\n767 4401\n2854 8142\n2721 4279\n8696 17327\n1292 11552\n3365 14518\n2338 8460\n6119 6351\n885 12947\n13629 16401\n5329 14086\n1888 2729\n902 11899\n13061 14456\n3280 7451\n4559 16944\n14073 15470\n1401 5770\n5325 14486\n11615 12986\n1866 14123\n2737 14951\n5596 16963\n3319 16731\n1805 2039\n911 2795\n9349 10363\n9088 14992\n3248 12511\n11464 15985\n7979 12870\n9953 13365\n5718 8474\n1259 16467\n706 12700\n7335 12304\n12237 15881\n609 17319\n10097 16512\n2530 2672\n11650 13759\n6653 13128\n1477 2189\n13076 16599\n2218 12475\n2632 15253\n9496 12550\n4069 7287\n13194 14850\n5611 6867\n8863 10148\n16938 16976\n4952 15749\n7419 11426\n7034 9178\n2640 6362\n4557 11050\n5133 13908\n3630 10626\n6215 7844\n3545 5916\n1684 12485\n965 5794\n1069 3603\n5258 16135\n9872 11205\n9636 15229\n5283 10277\n5003 15832\n5254 8713\n2649 5340\n3746 4600\n12753 14496\n12533 13450\n3743 8280\n1568 2327\n1387 13595\n1515 16253\n123 2876\n4368 5370\n1606 6917\n5113 13239\n5917 16026\n1275 9171\n500 11013\n12470 16927\n7662 11267\n5504 14353\n3223 15474\n3550 16214\n3545 13683\n851 1132\n3039 13325\n6866 16026\n6417 16613\n948 2921\n4429 6295\n2673 13181\n129 5806\n11282 17019\n9694 11139\n4344 15909\n11968 15603\n13812 16425\n10334 15954\n10606 15020\n11597 16019\n992 7123\n1411 7567\n10457 13651\n3021 3880\n3512 16310\n3167 17192\n264 3491\n7169 14928\n12557 15456\n1918 4434\n8916 9014\n5642 6020\n1056 3167\n1159 2970\n1890 12170\n2519 6194\n6138 7866\n9033 12718\n7497 17008\n6378 13937\n2220 10713\n10870 12196\n8532 13089\n3205 6124\n7122 17360\n10779 15280\n424 8139\n9388 9599\n971 13543\n5247 13873\n10664 14027\n7209 15040\n12027 12931\n1904 3477\n4590 14321\n13172 13216\n6633 14097\n2467 8885\n1514 15820\n1528 2285\n2355 17330\n1141 14677\n13994 14664\n1870 13486\n5617 17307\n3713 5209\n5143 7855\n614 6971\n10068 13782\n5901 12627\n11629 17180\n13827 17352\n14183 16171\n9334 9426\n6202 12180\n906 12209\n189 9684\n2526 7101\n12672 13719\n3533 4696\n4834 12025\n4824 9875\n12677 15955\n6549 7583\n6091 9965\n2236 4481\n1366 17011\n341 11611\n10695 16290\n10818 14253\n3701 6442\n8942 12089\n1080 13111\n6122 12932\n5328 13124\n5880 15666\n8892 11003\n4164 5211\n15215 17200\n7071 8783\n2046 8350\n6674 10832\n6445 15032\n2713 6731\n2668 15280\n4532 7832\n9616 11188\n2153 17194\n10444 16538\n7065 13765\n3073 6415\n5067 13075\n8827 13018\n2411 3108\n6658 11536\n12993 14659\n5324 5703\n15025 17446\n2985 3008\n5259 6478\n7337 8201\n6369 16610\n1365 2113\n8817 11604\n1655 11965\n1994 6456\n15095 17434\n13211 15077\n16493 16818\n607 2027\n598 8317\n7381 9038\n6649 16150\n9507 15525\n968 12253\n1676 7169\n13307 14968\n4398 8381\n2618 14619\n6113 8528\n12099 15182\n7369 11073\n10599 11147\n7816 14959\n9855 13934\n1173 1280\n6167 15286\n13740 14873\n4287 5851\n2512 15365\n3448 17096\n913 2655\n2673 15371\n2439 6428\n5132 10034\n995 7844\n14290 17306\n11768 12638\n2190 7211\n4386 16683\n12741 16041\n7263 7866\n324 10485\n5725 13725\n7524 10906\n504 8542\n5678 10683\n8450 9114\n7556 12440\n3956 10431\n9708 15429\n4206 5636\n130 12276\n996 10110\n1923 15347\n12828 12915\n4095 12245\n1923 15906\n6752 16039\n3178 8348\n5539 7476\n304 15649\n8390 11246\n6187 7976\n9613 16209\n5827 10767\n7305 13317\n1381 2521\n8283 12460\n10713 12806\n974 7540\n9846 12297\n12 13177\n4140 4501\n4380 16379\n6426 14473\n13569 16942\n4447 10779\n1661 15163\n13785 14444\n5268 11883\n1357 17171\n1114 10060\n9266 11284\n12815 15363\n9555 14592\n3083 6848\n6902 12924\n715 5594\n3729 8651\n12625 15326\n4259 5163\n1541 5801\n14508 15809\n4980 13726\n212 11359\n1133 9604\n5131 8625\n13307 15714\n4871 10354\n3418 11686\n11043 13430\n1510 7672\n4815 9028\n6354 14913\n1448 11705\n3736 16154\n1851 10266\n16278 16596\n8013 14132\n5306 8114\n1476 7551\n5153 15729\n4884 6937\n9790 11239\n7021 9629\n5949 10105\n11454 14991\n4977 5615\n7619 9122\n8963 9843\n4948 15033\n4266 7098\n468 9330\n11473 12276\n4768 13704\n8049 12266\n5925 16716\n5343 8697\n12335 12604\n15828 16285\n9870 12552\n8484 13220\n11201 14171\n3998 7705\n15854 16946\n2863 9259\n14276 16521\n3467 12648\n3356 9950\n7356 16115\n6207 14584\n6000 7913\n4444 7264\n6947 15447\n5498 15518\n5534 7929\n4976 16809\n3337 8427\n3994 8580\n375 2135\n505 4464\n9214 9862\n2107 11915\n779 6291\n4824 16876\n8885 11742\n4052 5078\n146 14190\n848 15971\n2618 8069\n273 11636\n1524 15484\n15257 16278\n7534 15513\n512 17157\n5177 9692\n3577 8099\n3331 9973\n8587 16002\n1639 16680\n14053 14417\n1598 10492\n82 13320\n4256 11974\n10240 12278\n11232 11547\n6049 17028\n1143 8845\n5731 14853\n2023 3374\n8049 8815\n1451 11057\n9565 11913\n3194 8581\n11242 15267\n11623 14474\n9690 15799\n11314 13919\n1984 15677\n9749 14610\n3635 12483\n13544 14553\n4140 5809\n10510 10989\n8501 9707\n1813 7835\n10993 16562\n3769 10511\n426 12478\n4996 16737\n2260 2827\n3473 14344\n6883 13304\n3657 8291\n7458 9356\n4397 7350\n15072 17310\n2188 12198\n7526 9418\n3390 9735\n4324 10181\n467 11562\n4212 5265\n2789 3130\n2793 4179\n9044 13904\n3043 14628\n9393 12960\n5252 11947\n6143 15388\n3210 13431\n6628 14744\n10500 15746\n14024 16630\n5660 14949\n6720 15624\n2456 7467\n8054 9892\n1368 12147\n16110 16986\n3787 17271\n5584 9115\n12331 16015\n53 8908\n547 11365\n8906 17226\n12111 16982\n7965 8671\n13865 14512\n154 10187\n1098 3154\n68 5635\n9826 15676\n2823 16223\n3167 14022\n295 9477\n426 4121\n6188 14373\n10760 14251\n11872 12551\n12386 12940\n12291 16532\n3159 15482\n13517 17143\n2309 11732\n9781 13381\n4341 6959\n6892 10562\n999 12572\n5899 5980\n6345 10772\n4910 12779\n8969 10944\n6453 7674\n274 11628\n913 8934\n2703 14438\n13772 13796\n2256 10634\n12650 15732\n6498 15948\n5559 6076\n15816 15942\n4763 8478\n6527 12942\n7176 11948\n12875 14890\n527 4117\n591 4462\n5414 8991\n15759 17408\n10297 11550\n11020 11544\n3100 10107\n2517 14301\n8515 17343\n991 11444\n1663 17232\n1612 16926\n5574 15936\n12036 15968\n705 6776\n4457 10525\n9193 9799\n5702 17379\n6544 8208\n735 3979\n814 11763\n418 9760\n41 10545\n1664 10734\n4044 6686\n5780 7815\n270 3866\n7530 10802\n4924 5879\n5369 15435\n22 12648\n6704 13385\n3344 6129\n4111 16528\n3551 6843\n3957 5386\n3595 16443\n5074 11954\n3691 17452\n75 12190\n4128 12580\n596 10977\n3358 17392\n15965 16982\n1685 2770\n12269 12806\n8208 8841\n304 12311\n1206 5255\n1356 1533\n6742 10362\n3992 17388\n11900 17280\n9727 15397\n1998 2139\n1467 3455\n9740 14790\n5022 7777\n2125 12749\n16734 17129\n7693 10801\n437 11058\n5381 15130\n8912 14491\n11922 14136\n1018 3077\n14481 15295\n7103 13377\n5599 11721\n5661 15336\n5376 5862\n11932 15763\n6306 7201\n5443 6399\n9866 10283\n10572 14146\n1404 12776\n4367 8373\n1453 13862\n9784 13651\n5184 16574\n1295 7703\n1792 10634\n8752 9491\n6315 9458\n4113 13327\n6878 9995\n1031 3326\n10185 11061\n1124 14097\n2674 3731\n5368 5564\n912 10969\n6988 12726\n5032 16657\n1386 15686\n767 4706\n11296 14133\n7813 9171\n4631 17231\n1086 3735\n6154 10684\n6494 17181\n481 4153\n5525 10505\n3901 9909\n3298 13165\n12183 16276\n5670 9267\n5105 11823\n4180 8377\n10237 15556\n2851 3848\n9232 10453\n3443 13559\n1381 3111\n3111 6254\n12445 16875\n4915 9473\n4219 16544\n7137 9720\n1219 4084\n2401 4443\n4614 10690\n5248 12428\n13449 17061\n7845 15391\n13385 15455\n2714 7826\n6361 9790\n1283 8237\n6390 16307\n9832 12125\n1617 8311\n929 1751\n14202 14591\n1874 9318\n2386 13908\n3909 13290\n1748 16819\n1646 2588\n4521 8527\n2140 3412\n6560 10217\n772 2338\n3796 11113\n2770 3172\n5824 8506\n1202 6708\n999 17156\n2587 9359\n10571 14071\n5555 7354\n3196 7181\n10847 13018\n58 7827\n7329 14065\n2360 11707\n1064 10714\n3658 14434\n8930 12549\n12404 15121\n3372 14245\n14836 15001\n3093 8867\n5594 10385\n12713 14148\n51 9560\n7493 8356\n6519 17441\n1234 5213\n10000 12304\n8469 14171\n11146 17296\n1045 5771\n2362 13650\n8862 11239\n4976 7655\n4741 16325\n2356 6407\n81 3726\n15891 16874\n2569 16880\n1839 6817\n6097 8979\n6301 8730\n9495 11278\n3755 3987\n3859 4714\n1281 7729\n1129 13555\n10018 15414\n11638 12831\n5895 16454\n2082 5189\n427 14488\n11103 13841\n10702 15059\n4010 4686\n5593 15977\n1193 1307\n3807 13261\n6283 16276\n6247 10921\n3720 4555\n15748 16548\n618 2227\n4820 7776\n3415 9062\n1657 10913\n2537 4853\n1209 10222\n7995 16979\n3306 10522\n10633 14768\n3149 4274\n12605 13978\n10116 13523\n6046 10079\n7617 13963\n10976 14894\n5721 13473\n11520 13027\n8685 14783\n1827 11961\n5347 5691\n2052 16719\n6574 9537\n4435 16332\n7247 12605\n277 7467\n1216 4007\n6437 17361\n9321 17017\n7174 16202\n3922 17240\n4064 5802\n10681 15161\n2950 11604\n6415 9408\n5505 15192\n9116 9338\n256 3701\n13261 13746\n2710 14732\n4716 7349\n6495 11129\n8051 12733\n9827 12028\n11208 14195\n11829 16571\n9264 11356\n4306 7816\n648 7680\n1300 8942\n12413 16659\n9570 14396\n11982 14733\n3647 7688\n2938 9997\n2163 16202\n5566 9186\n5720 17341\n3179 14724\n6740 15762\n156 7294\n4525 15870\n283 4445\n8067 17056\n3039 10525\n8025 14776\n9375 15189\n6564 11572\n4555 8734\n8614 10288\n2950 10375\n5376 8876\n4434 5993\n8 17267\n14178 14506\n4343 15815\n1877 9783\n2987 9172\n11767 11972\n13073 14194\n3679 10493\n475 8525\n575 8025\n5120 12921\n98 9937\n644 16914\n5923 14266\n9019 16386\n3593 3621\n11294 12709\n653 12981\n3152 17089\n3059 10905\n5966 11589\n475 2843\n919 17008\n18 7584\n3718 6072\n10323 13256\n8811 14825\n9324 15441\n2508 5820\n5771 15936\n8055 17443\n1407 8514\n12509 17197\n7419 15263\n8531 9532\n2008 15956\n75 2542\n6379 13474\n7576 9675\n4809 8530\n9402 13086\n4923 13002\n5062 15119\n1727 11146\n134 7523\n1472 12419\n13390 13699\n1144 16278\n2230 4087\n4798 15141\n3477 15122\n922 11555\n83 2425\n1090 6061\n2005 8556\n2493 14150\n2754 8217\n9430 9643\n2439 6994\n9306 15386\n7647 8363\n6892 12849\n5604 16722\n5053 12199\n13504 14071\n6652 9395\n12188 13327\n10093 10115\n533 3866\n5291 15431\n8836 9653\n1204 1383\n1828 9904\n14 2845\n4320 4637\n557 16877\n6807 7088\n11071 15533\n5606 10246\n6318 12374\n7306 9829\n6134 8854\n6392 13066\n11603 17109\n6863 12758\n6326 7304\n4054 4610\n2550 16004\n2229 7214\n11608 14172\n11033 15359\n1436 16754\n905 3103\n7377 11808\n6131 11450\n5164 6275\n2154 4337\n1103 13758\n7498 9640\n280 3876\n10585 11701\n7800 14675\n4089 7988\n8336 11096\n8404 9730\n7401 8623\n2284 16408\n8413 9923\n2520 2801\n8150 9908\n9381 14935\n6488 7904\n4131 16153\n7145 13879\n4520 11810\n5047 6530\n297 8684\n5896 14904\n4711 9193\n6516 11799\n5323 5967\n116 2521\n1859 3346\n14142 16024\n5495 7036\n2387 7676\n1421 10740\n733 16939\n3564 5765\n10443 15268\n4854 6011\n3234 4885\n13729 13936\n15189 16363\n10203 17382\n4338 15033\n9428 16422\n5904 13516\n5917 10703\n3554 8421\n13817 13899\n18 17171\n4080 5282\n8351 14299\n4730 12073\n6897 13662\n3683 4227\n14758 17263\n6518 8167\n8073 14953\n5007 15266\n6808 13705\n3662 4947\n2876 8373\n7837 14548\n2686 9231\n53 4357\n1141 5624\n569 3079\n3463 4129\n7187 14762\n1906 11847\n8860 8983\n1689 2128\n4131 16455\n8042 14386\n4827 7414\n2001 6105\n11379 12892\n2627 6753\n8142 8152\n4274 14053\n1347 6030\n12638 14853\n6384 6425\n2657 11348\n14426 15281\n6847 11891\n6586 16668\n12377 14637\n984 15895\n9324 15697\n1711 16937\n2779 6468\n6 16170\n3892 7461\n6659 12084\n3952 13445\n2065 7277\n13459 14548\n1567 14992\n1219 4127\n15329 16460\n9039 14529\n525 2669\n7309 16481\n1092 12152\n937 6831\n6306 8688\n7346 16579\n310 1783\n10646 16577\n6797 6831\n13146 15305\n2061 10859\n4363 16463\n5857 11486\n6847 8942\n13160 17271\n4305 9397\n12577 16321\n5323 15328\n428 8417\n336 6988\n3418 7039\n8554 9950\n10217 10377\n5867 9768\n7135 14746\n2336 12114\n10715 11353\n6688 15972\n8544 10261\n1159 10959\n4189 14505\n8489 9224\n12902 14766\n5285 7223\n953 10079\n6862 7028\n8613 15452\n4471 13008\n1209 17069\n2558 3609\n217 2327\n2011 13811\n12131 15141\n11505 15985\n1610 11754\n16644 17274\n9196 11397\n3135 12977\n6506 12129\n9468 16471\n1481 8481\n12498 12797\n8818 10630\n8509 9363\n3323 9110\n8449 15784\n13970 16938\n5308 5776\n10376 13302\n1979 14071\n9335 15681\n8671 14073\n6367 16817\n7099 14382\n1918 12406\n2234 4451\n3262 6992\n10724 17328\n2287 11182\n3316 5357\n4405 5767\n11307 13100\n9961 13158\n4555 8457\n907 3583\n7164 11346\n7684 8841\n13096 15149\n2145 16601\n2502 4921\n9953 13171\n8211 9244\n7674 13741\n3315 7903\n1648 5691\n12329 16324\n2727 10344\n4586 13167\n8626 10189\n10690 13855\n3558 5631\n5534 10599\n2061 2519\n7605 14476\n6693 8869\n10810 17118\n8241 14468\n3301 10345\n4490 4787\n1517 10970\n5098 6068\n8283 11187\n12517 15269\n4534 16606\n1804 12942\n9369 16328\n3506 12605\n1358 5582\n8173 13350\n5411 10215\n3577 5051\n7017 10485\n8739 14926\n3389 8857\n4512 12086\n8223 15023\n6775 11972\n11238 13708\n4854 5348\n9659 13982\n11166 16354\n533 11684\n1793 7779\n10997 17452\n13411 15701\n8493 14781\n8986 9164\n14169 16509\n488 4435\n13091 16227\n4082 16856\n929 11534\n7747 13483\n1555 4799\n6127 9339\n1958 8312\n15849 16260\n5155 10134\n1733 15842\n2961 10292\n16222 16912\n2340 12512\n12273 15519\n6202 10205\n683 8457\n5995 7038\n16063 16947\n4797 8196\n2089 11536\n284 3172\n2687 3840\n9691 10760\n4556 5679\n60 318\n8468 16462\n9510 15257\n6436 10771\n11270 11556\n9269 14138\n3118 7515\n7336 11589\n1906 2613\n7368 13212\n2132 14899\n12648 14880\n13807 13970\n3231 9172\n9317 17232\n11397 14056\n5301 10225\n4335 5677\n13209 15892\n5924 13284\n5055 17410\n8073 15277\n7311 9694\n2228 6631\n5214 12849\n6897 12948\n603 7642\n6658 17372\n1077 7614\n3307 13336\n4869 7584\n6649 14366\n969 15721\n3130 12538\n2246 10377\n1711 14356\n8525 16167\n6128 7439\n8732 11305\n3425 6476\n14947 15690\n7372 16780\n296 7559\n6187 12589\n6285 12428\n11995 16752\n6474 6672\n4390 10524\n4218 10859\n5983 9467\n1988 3255\n2616 4112\n6840 16174\n1372 6929\n4033 17430\n2770 13966\n9298 16521\n14469 16849\n12330 15370\n919 12624\n2185 16318\n13166 13199\n5851 8704\n8674 17306\n1953 7225\n301 12525\n10287 14050\n3438 13645\n15331 15485\n10027 10887\n1860 3351\n6322 6356\n1081 4281\n6008 11618\n7322 9100\n2834 13813\n6082 15165\n2914 7751\n3311 4783\n13848 17310\n15737 16837\n2271 14969\n2314 16627\n2377 13412\n4341 9182\n7693 16965\n3184 10145\n6633 15408\n4929 8807\n5786 13302\n5663 17144\n16959 17304\n5245 10390\n3776 7658\n6958 11061\n7299 11201\n4660 6744\n7522 15477\n8068 12673\n4348 12546\n1526 5622\n2230 5214\n5669 12716\n8729 14576\n16940 17403\n2538 5252\n12069 16501\n14305 14524\n16356 16799\n3206 15344\n11104 14364\n8364 14690\n3905 12663\n11800 16582\n6719 16301\n6400 9853\n1607 11938\n1008 2562\n1342 4021\n1218 5390\n9459 16933\n1557 5007\n7429 16620\n8852 14764\n4669 5039\n13009 14469\n139 9012\n5707 11080\n6812 9862\n5959 16273\n663 16576\n15670 15849\n6660 11655\n8486 12604\n3129 15018\n4013 16465\n9797 16184\n867 3670\n4059 5704\n3141 14818\n3106 8080\n201 3311\n8578 12765\n7840 15066\n6473 6926\n5633 11508\n11030 16743\n8672 15765\n2016 5427\n8344 13708\n7023 12615\n6529 14598\n2535 11769\n2851 11138\n4291 9208\n6882 6990\n6430 14129\n12702 12870\n5124 15057\n1933 3054\n6982 15127\n10538 16640\n4564 11703\n12007 13525\n2005 8671\n16413 16868\n4759 4832\n4344 6155\n7950 14343\n2213 11401\n2482 5195\n1047 10318\n9721 12936\n12237 12925\n8094 10860\n14647 15398\n2760 11898\n4959 9509\n1577 2580\n13096 16903\n2564 12050\n6436 15508\n1838 3289\n14330 15688\n4005 12856\n13718 13725\n3101 9147\n4708 13787\n1116 11197\n6991 8511\n4441 16976\n14205 16126\n4314 4479\n497 10909\n8676 14640\n10522 17298\n5321 6797\n2598 5154\n1656 4485\n5133 12067\n7343 13053\n5254 10646\n1019 12132\n1259 5850\n4610 5066\n10609 16976\n5471 15665\n7108 13586\n7092 13575\n4719 9701\n1139 8628\n12555 15680\n10289 10548\n9150 14384\n8 593\n8830 9604\n8765 9624\n10654 15443\n1179 13232\n15267 17304\n1396 4286\n3323 7944\n4069 11440\n7005 16875\n172 314\n3441 3536\n6832 15003\n2044 10649\n15613 16481\n3646 14152\n14018 14555\n9661 13254\n6440 10008\n11622 15239\n2890 8608\n381 10783\n9566 14445\n15250 17388\n5863 15943\n7175 9533\n5415 7369\n8221 14290\n2750 16214\n8603 10709\n1141 12087\n4129 14992\n7980 13712\n15828 15911\n9480 9541\n498 2905\n3615 12561\n871 14989\n7256 11004\n1272 8045\n12476 15180\n1041 1705\n8236 10165\n6911 12058\n3567 6318\n16159 16295\n4875 15723\n10594 15725\n14654 16999\n618 14843\n6285 10237\n2440 8570\n4342 8326\n3292 6073\n752 2316\n6508 13372\n4092 13080\n1955 15137\n2308 15773\n13318 14584\n7570 15094\n12025 13777\n9109 11951\n1191 12840\n9466 11304\n1090 6386\n4100 5015\n867 15114\n1657 16755\n5229 14287\n12188 16493\n10131 11797\n12078 15687\n2780 6441\n2106 5352\n3445 12007\n15922 16383\n1016 6364\n10965 11262\n1311 12134\n2762 14147\n1065 5821\n7148 8237\n1282 7970\n5612 12370\n691 11078\n5085 9112\n5755 11782\n2852 5749\n9246 13201\n5343 11808\n9545 10470\n7164 11994\n1752 6089\n12422 17068\n2046 14144\n1835 6880\n3426 6854\n5148 8768\n13208 17029\n7685 17310\n1608 7020\n6741 6942\n2215 15606\n9278 12298\n7356 17460\n6233 13857\n1663 14043\n12022 14297\n1159 7633\n14570 15333\n12327 15771\n414 14485\n1360 3610\n8171 15401\n11763 11806\n6234 14322\n6050 14796\n10065 13330\n7561 11948\n3814 7101\n411 4348\n1557 5368\n2840 17114\n1479 14632\n1553 9969\n5452 6974\n487 3618\n5207 8391\n5038 5136\n9079 13612\n352 5596\n3328 13514\n619 6606\n7204 9140\n10673 14077\n7611 11616\n5916 17043\n11318 12854\n930 13563\n246 12370\n6821 15075\n240 15964\n6285 16224\n12935 15582\n2904 12090\n12656 13626\n2145 11873\n7238 15675\n118 6542\n14240 17082\n1141 11680\n2515 12020\n2323 4563\n2319 4587\n4994 13107\n4688 17056\n2313 15133\n11422 16600\n12961 14388\n16280 16630\n12011 12553\n6301 9316\n9211 9451\n11182 17278\n13011 15843\n7524 15415\n11180 13466\n7094 14009\n5012 17278\n11569 15145\n7430 7942\n1476 17279\n11018 16288\n9585 16506\n1386 9510\n8509 16144\n626 16130\n3670 5662\n2212 3829\n11104 11616\n1654 10338\n14992 16579\n7347 11102\n11706 12876\n4860 9178\n4895 5459\n4431 15486\n5942 16700\n1995 9036\n2005 10183\n12344 15447\n12040 14299\n1236 5001\n2117 6760\n13016 15970\n1518 17101\n1363 14813\n7497 11150\n8105 13201\n6478 9910\n9754 14238\n2000 2526\n2224 16223\n12527 15041\n3964 13274\n15678 15950\n2725 3248\n6232 11144\n3641 5449\n3524 4738\n10661 11935\n9326 15427\n2431 14732\n4904 14809\n2680 6042\n4357 16084\n874 11355\n1572 12778\n12183 12440\n1835 2295\n7786 13389\n4044 4511\n2758 10991\n4493 4704\n11092 12002\n3555 3912\n14096 15504\n2353 10074\n8282 11348\n7821 16247\n5284 6517\n8008 14141\n7638 15874\n8171 17218\n15625 16152\n3708 8801\n2859 11902\n7093 9718\n8986 10982\n7540 13989\n9120 10047\n9053 15636\n2375 2707\n5316 10791\n10652 11391\n5451 15888\n11547 14917\n2401 10395\n9055 13722\n6725 13890\n7129 13181\n8120 16836\n1861 3753\n7665 15788\n1399 8786\n287 7601\n16318 16967\n6807 9193\n162 13345\n8555 9642\n89 5123\n8166 9990\n5745 8701\n1425 3486\n6192 11437\n691 4447\n984 6996\n1367 16583\n5308 10259\n1674 3298\n1963 14708\n6133 6143\n834 7697\n8071 8298\n124 12687\n3967 7647\n5532 12978\n10268 12158\n7962 9678\n6411 10071\n3082 16868\n6045 6813\n2448 15024\n8929 12161\n3119 5954\n4033 7297\n8523 12408\n4303 5092\n8454 8705\n8274 15555\n6023 13179\n10738 16353\n2073 12134\n3352 6331\n1919 3766\n3895 13954\n1478 14968\n15488 17441\n3036 9070\n9294 14350\n11919 16738\n12884 16460\n6400 13992\n8960 12808\n3660 7490\n10782 12269\n11995 14232\n186 13553\n15177 16826\n28 3052\n4921 13931\n3050 16092\n6235 8248\n2215 16955\n1287 7387\n4107 6637\n596 6835\n4533 10132\n3783 13015\n2129 3381\n15216 17427\n3809 6476\n2982 15420\n9137 15791\n14023 15848\n5302 10961\n9760 14918\n813 8717\n2747 11200\n1741 11265\n14615 17090\n8667 10017\n9483 10725\n7954 15575\n7627 9014\n7675 12115\n8969 11310\n388 11949\n6454 15517\n8306 15830\n6610 9624\n9048 12816\n2263 8750\n2227 8673\n5571 7196\n2916 11821\n1145 15368\n580 6642\n7178 7742\n10353 15659\n13366 15651\n62 14196\n1553 11549\n12451 13557\n11542 16417\n2134 8801\n12955 14777\n6967 16660\n8059 16792\n6294 8405\n3194 12916\n6463 10917\n2524 9506\n6078 8790\n8517 16947\n5503 15439\n3152 16791\n6713 15788\n4822 14114\n9494 14256\n15000 15250\n3938 14889\n8047 15015\n4866 16883\n4070 13150\n14833 16511\n10535 17328\n8928 10156\n3615 11272\n11246 13441\n7965 9786\n9369 16645\n3850 4397\n987 8033\n8776 15521\n8433 9035\n13657 15083\n9471 16341\n3580 17063\n13587 16829\n6709 11306\n182 9025\n3941 7350\n11162 12984\n3247 8409\n2799 4515\n9375 16952\n3520 9879\n398 11017\n12212 15799\n4932 7646\n11850 12418\n8672 14538\n4031 13985\n15156 15593\n74 13563\n10116 11038\n7303 8128\n10346 15254\n6427 15570\n499 1882\n3977 15336\n7283 9806\n8977 9624\n1893 16610\n4175 5151\n5110 7112\n1009 9754\n1176 4279\n2030 6839\n1049 7424\n9651 14643\n6336 15402\n3963 7048\n9805 16645\n3024 9935\n5779 8728\n2376 14896\n1481 11583\n4327 14455\n11235 11254\n14983 16724\n8367 8772\n8675 17331\n3334 8544\n3054 16914\n9460 14799\n15304 17333\n8600 15997\n6779 9627\n1307 8971\n1824 14677\n11887 16814\n10605 15976\n8450 11909\n12229 16933\n5261 10766\n5853 13107\n1159 4896\n5705 10044\n1487 5446\n3900 4482\n7906 14404\n5394 13010\n5805 13699\n13611 14201\n5446 10249\n818 11816\n353 8461\n657 5385\n11338 17075\n13250 15974\n9716 15873\n4603 9641\n12981 16554\n2113 9220\n1396 4814\n11933 13120\n14761 17418\n4100 16279\n237 9803\n1386 3045\n13372 16956\n2413 6239\n6256 17343\n12497 15978\n2933 11845\n11581 17123\n4110 15191\n1823 12048\n4284 12707\n4719 12460\n9463 9509\n1910 2862\n1795 8129\n3430 11061\n7808 16414\n14732 16663\n9824 11414\n12544 13091\n10048 17198\n9362 12884\n15367 16591\n3117 9492\n8566 10576\n1823 17262\n9474 15705\n9031 17405\n12938 17379\n1912 12144\n14958 16996\n1622 6278\n8118 10656\n3930 16170\n5203 9798\n6786 16016\n3287 3876\n2871 15631\n3594 11436\n604 13527\n1169 14758\n6209 12943\n3105 7282\n38 838\n10916 17171\n2588 12575\n3617 14056\n7873 9135\n2241 15638\n78 2330\n1283 6482\n9253 9957\n614 10601\n2407 13616\n2060 5557\n7217 7627\n2256 14174\n2350 5948\n5914 16388\n5206 10014\n8680 10808\n6812 13193\n6017 14961\n6314 6735\n828 12205\n6790 13255\n9292 17374\n704 6801\n5871 13742\n1772 5789\n6748 14118\n10316 10655\n10153 15711\n1145 6736\n112 9537\n215 7125\n650 10338\n2149 13826\n9874 12654\n198 3842\n8345 13218\n1652 11110\n4910 14557\n193 16783\n1632 10075\n13866 16624\n5875 9401\n6781 10132\n3910 10348\n2069 3900\n7715 8192\n1860 10659\n7446 15597\n4311 5604\n12724 16557\n7 14481\n2377 14016\n632 2925\n497 16778\n15144 16134\n4073 7143\n11068 11841\n13737 16308\n1462 6843\n4303 4635\n9360 11034\n3245 16705\n10670 13751\n5709 7866\n2725 10450\n11711 11720\n839 14832\n15246 17267\n1550 2957\n8303 8706\n1276 4718\n12254 14399\n3810 8487\n10918 15998\n494 3657\n3517 14554\n9072 9278\n4736 4939\n3583 10172\n3204 11328\n365 16416\n11639 15494\n4977 7418\n5518 9499\n425 15867\n6131 15357\n15085 17350\n13814 15582\n10869 15799\n12246 14867\n2902 5579\n14971 15132\n12069 14881\n3053 17358\n4690 7599\n2168 15678\n3240 15240\n6762 7098\n14814 17141\n2044 9815\n4957 7629\n11682 11800\n7151 14126\n7802 13724\n5690 16403\n7754 16478\n7540 13114\n671 7443\n6815 8494\n3829 12138\n1602 8912\n14036 16617\n10076 11564\n6139 15931\n4604 6509\n5212 5421\n14295 17259\n6550 6643\n7338 8623\n7955 11847\n6467 10121\n246 14084\n1813 10128\n606 3097\n14603 16930\n9742 11436\n25 12146\n8270 13587\n190 8543\n12251 14045\n7144 17311\n6629 14145\n3917 8565\n2616 3777\n10389 12513\n8053 9586\n15536 17329\n5205 17091\n3852 13148\n1371 9048\n5573 8654\n1021 12133\n12977 14586\n187 12489\n3037 13032\n10764 16243\n3956 15832\n5432 5575\n4947 13954\n5008 12275\n15803 17422\n9501 15075\n6014 12445\n1874 9957\n4280 7131\n10431 14209\n6276 8995\n2615 11272\n12831 16219\n1994 14224\n6563 13835\n2625 16618\n3270 9477\n1643 7569\n4450 7503\n1510 16534\n3417 10786\n8069 9088\n2324 5345\n5830 16742\n488 13777\n7719 16878\n5046 7266\n2373 11920\n7702 13916\n5424 14824\n3361 16763\n2198 15806\n9637 9929\n3809 7501\n3808 11863\n13062 14030\n13482 13938\n1033 7715\n225 5602\n2279 9501\n2247 4377\n8749 17366\n6912 11907\n5570 5769\n10816 15990\n4582 10826\n7566 14760\n7617 12122\n6283 13060\n3334 16362\n11762 15990\n2429 6549\n7684 14242\n186 15926\n13825 15360\n3602 8024\n858 8205\n4188 17443\n1722 3939\n2716 8281\n437 8605\n4369 17111\n3374 4173\n791 12033\n7054 9714\n4576 15773\n2268 5536\n1143 5959\n11652 12761\n11631 15841\n6343 6491\n10835 12917\n6864 12397\n14773 15162\n5137 5280\n2333 13224\n5012 8168\n8738 12390\n6919 12333\n2795 13618\n8564 13247\n8777 9387\n4008 5589\n160 1566\n8926 15654\n7638 10958\n1665 2458\n7107 9200\n10554 12754\n930 4570\n9661 11092\n6360 14043\n3034 9086\n2696 11220\n527 16435\n3345 11286\n6348 6910\n14148 14620\n2461 13726\n937 10676\n5152 14589\n5043 5692\n9129 15522\n5499 5947\n1054 1638\n9963 10774\n2586 8412\n4946 7038\n2707 15333\n11844 15173\n1969 5509\n2198 7746\n9517 16768\n3549 5395\n8711 17204\n7403 11493\n4470 7359\n163 4209\n6087 6626\n1880 5822\n9077 15861\n6514 9255\n2809 11882\n1820 13914\n7124 8184\n7093 13191\n4477 10985\n3468 11610\n744 5848\n173 11872\n5660 14102\n11754 11918\n10413 11992\n3622 6282\n488 16935\n8937 9254\n1755 9231\n6189 12349\n4273 5528\n7222 16529\n312 2389\n7925 11784\n4243 12096\n6652 12458\n7243 7765\n5003 14136\n3885 14427\n9998 15367\n6856 15189\n5645 7554\n6013 7180\n9206 14153\n4595 9011\n5972 8092\n5132 13507\n816 10247\n9541 9794\n5422 7603\n2739 11464\n324 8936\n3475 11087\n5700 15079\n4654 5567\n1250 3229\n4356 12132\n3807 11027\n8299 13063\n9112 11971\n1381 13422\n2597 7778\n12572 13471\n11981 16899\n2626 12636\n2715 17311\n4158 7087\n13553 14959\n6278 16498\n4838 9837\n14275 17024\n7589 9677\n5210 16164\n10991 13962\n10434 15009\n13424 14458\n4164 12627\n4514 12616\n768 3316\n363 8865\n13859 16166\n2771 8069\n1609 16102\n1871 12165\n6009 8869\n3955 17270\n8232 9801\n11276 12772\n1314 5131\n6497 8114\n1899 14984\n1706 12141\n400 7315\n7597 9958\n5242 11222\n6648 14680\n1330 17322\n2000 7269\n264 14053\n7482 10720\n7029 14833\n39 6537\n1257 6118\n9672 14907\n7913 7967\n7861 16163\n3435 4814\n2566 6927\n3684 8253\n263 14153\n497 6897\n5416 5520\n1589 2838\n1729 6886\n3633 3981\n2627 13443\n6045 6949\n2762 15553\n37 8234\n6349 10726\n583 15940\n11210 16218\n3559 14202\n4826 11013\n687 13593\n9246 13274\n1613 6851\n8848 14993\n3186 6076\n229 6231\n133 8899\n2660 10891\n3716 17311\n3820 6206\n1844 15697\n4317 12285\n3931 9891\n11509 14891\n12494 13781\n3620 15042\n912 13043\n7317 15991\n15349 16965\n9170 13572\n10897 11157\n4530 11841\n2205 4068\n1160 2714\n2753 11064\n350 1539\n6347 15635\n2879 8342\n9605 15992\n14196 15723\n11501 13138\n9607 16656\n5178 10128\n2070 13343\n9901 16645\n73 17126\n9278 15162\n14165 17160\n5647 5822\n11042 15182\n2635 4464\n4796 9574\n4347 16730\n4974 12478\n12449 15875\n349 11009\n3154 11504\n13056 15269\n4363 12969\n11534 17185\n1760 8131\n6981 10251\n1635 10662\n1986 8937\n9037 12361\n9556 17364\n4161 10612\n5750 6313\n229 14793\n11574 16704\n3134 9802\n1397 16409\n8392 13607\n6704 10215\n2747 7715\n5449 14944\n1830 13108\n820 9262\n14851 15670\n4348 8142\n2042 5392\n909 17176\n7283 13854\n431 6237\n1053 5650\n6710 7283\n744 12979\n9833 13321\n8173 12033\n50 3761\n1352 12573\n1305 13358\n3356 5634\n2049 10944\n15198 16535\n9228 15662\n1598 11125\n1340 2533\n3104 14401\n550 1084\n7268 14240\n2811 14164\n6855 11969\n6239 9493\n2729 12505\n2089 16036\n7510 12240\n1190 7930\n14907 17189\n11333 13736\n5394 14440\n2331 4285\n8298 9707\n10733 14952\n3086 13081\n8102 13842\n9360 14559\n1603 12922\n9507 13839\n74 4750\n9350 12975\n7291 10154\n2378 3106\n3452 9040\n14698 14875\n3936 5398\n3589 11642\n4766 14826\n4604 9174\n384 11863\n15640 17359\n9823 10751\n11519 15157\n5731 10166\n520 5118\n8571 11430\n3206 13435\n8582 13731\n6743 9713\n2237 11789\n2222 16800\n3261 4217\n10698 15530\n1217 8629\n13684 15266\n12180 15932\n41 17036\n10596 15008\n5778 9517\n1196 14839\n2623 10018\n7860 11983\n12505 15096\n15566 16371\n7695 8201\n1566 6785\n7472 16318\n5751 10547\n4214 12611\n3492 5214\n7075 9026\n5437 7634\n5017 11047\n557 16434\n666 5719\n8061 14287\n17130 17347\n10260 14446\n14771 15039\n1022 1988\n10188 17147\n7570 17070\n4022 12670\n10079 15978\n5715 17229\n2465 2920\n3476 11211\n14785 15652\n5971 10396\n5377 14470\n6269 14865\n3371 10521\n5988 10476\n3671 15495\n4351 7501\n1632 14084\n7521 10464\n3949 14729\n863 13551\n1588 13648\n606 3497\n3070 6623\n5342 14789\n8060 15758\n2855 13419\n11248 15292\n3499 15786\n4902 9311\n11597 11642\n1391 1815\n8956 16511\n9070 11304\n1433 9771\n6729 13980\n1540 14264\n12802 16188\n1997 6914\n10884 14685\n10858 11084\n6174 12642\n1822 13323\n16051 16190\n1864 11357\n7154 10099\n1457 9648\n10831 17386\n3281 8089\n10888 10911\n7100 10779\n2569 9008\n9017 15156\n3952 15889\n372 1113\n8348 12236\n503 1031\n5719 13616\n3774 11705\n236 7223\n1047 1460\n7385 11091\n7878 14923\n3061 8873\n1822 14169\n13479 14954\n2184 11966\n48 6981\n3717 16223\n55 3764\n2872 15829\n12577 14318\n360 13542\n8954 15272\n8265 13869\n1062 15513\n12138 16634\n10426 13255\n12014 16912\n487 12576\n4108 12230\n2021 6087\n8857 14676\n6066 14378\n139 4477\n3410 13790\n892 2352\n6579 9237\n1151 16599\n1448 3302\n13717 14459\n6357 12056\n2515 9217\n14865 17360\n11279 14934\n8337 14524\n13185 16750\n10445 12948\n6721 7246\n5563 16247\n2517 6712\n12103 16396\n10986 12846\n6212 10209\n9140 12881\n2176 4896\n1940 15008\n8445 17120\n4768 15911\n12098 13594\n13557 15225\n5925 12029\n11718 14488\n15298 16894\n10342 12825\n1404 6490\n5993 7879\n11509 11913\n2403 14444\n1848 16038\n5678 12861\n14830 16784\n13015 15338\n3679 11009\n4338 5886\n2426 5827\n4739 6405\n14901 15293\n4858 5307\n2156 5866\n6615 16900\n2016 11721\n2219 11556\n4931 16009\n982 5011\n12086 17306\n12560 13874\n11393 14710\n1899 9749\n5105 15855\n180 13363\n7980 11697\n2143 8063\n7504 13571\n1195 8992\n4605 5501\n4867 11270\n4461 11520\n1675 14230\n548 3698\n12168 15119\n14171 15586\n12085 16398\n13282 13426\n9972 10687\n5958 14263\n10430 15491\n9177 17321\n8004 17448\n3704 9973\n7293 9408\n11492 15407\n12956 14970\n7633 13600\n12170 15972\n1282 5640\n2137 6987\n6554 6948\n155 4489\n501 7887\n3297 5799\n12956 14781\n2127 11597\n292 9132\n4959 7135\n13796 15333\n15445 15964\n4368 14496\n8679 9749\n8849 12747\n2394 17114\n1807 5505\n3325 16084\n6372 10479\n443 1684\n13460 17076\n11621 12864\n7 1043\n16219 16778\n5233 13133\n7704 14867\n3405 5286\n2588 7318\n5928 15685\n78 11507\n15807 16760\n12819 14325\n4991 14817\n1649 5242\n3978 14554\n2221 3000\n480 6185\n8698 11399\n1857 4685\n3319 7203\n5040 17202\n4857 16744\n2085 3246\n10794 16545\n7895 16741\n10095 12308\n6603 11995\n11601 16110\n7421 13899\n11578 15923\n13949 16730\n7089 14101\n15134 17122\n7906 14122\n9182 13091\n7706 16054\n3415 5843\n3955 16609\n1 11542\n5582 5665\n7773 10490\n2245 14338\n6737 16909\n8810 9227\n5761 13098\n4448 5221\n9022 13443\n2656 8458\n8865 12035\n2035 4292\n5112 14299\n3554 10784\n5519 7645\n7897 9771\n9315 10691\n11846 17148\n14375 15602\n10662 11026\n2798 9250\n3415 6487\n8477 12811\n4920 13331\n8938 15351\n2862 11168\n2261 6974\n534 5418\n3444 9243\n4375 13870\n2948 10700\n9074 15803\n7222 17423\n6503 10259\n10797 15229\n3119 10477\n942 9391\n6815 10302\n8145 11689\n13881 14705\n791 4968\n9177 17073\n10248 13708\n6512 11851\n5248 14848\n1824 16622\n6007 14717\n5120 15340\n12569 16810\n2421 16272\n3452 16030\n1916 4890\n14080 15896\n1230 8816\n2563 8838\n10038 14194\n11020 11123\n3105 9180\n11536 16984\n835 12034\n11152 11568\n565 3318\n276 9869\n6982 10662\n8197 14965\n5398 9413\n6019 12778\n57 16909\n791 7397\n14763 14911\n14167 17389\n97 13635\n8444 14500\n3433 8557\n8610 11012\n3996 4654\n4331 11751\n3386 9521\n8479 8907\n3352 10893\n2233 14392\n2826 13313\n2076 5501\n4029 13935\n3040 11748\n2032 7116\n2094 3225\n3177 14455\n2373 16124\n11387 13593\n12473 17302\n44 2835\n3591 8468\n4459 7987\n14515 16847\n2385 10712\n144 3519\n86 3604\n10722 13003\n14262 16920\n9645 14815\n7029 13995\n11142 13935\n12691 17063\n4056 4967\n5368 8661\n712 12667\n14301 15918\n975 14222\n5849 10805\n15399 15464\n3311 4086\n3778 13474\n2661 15701\n8443 9448\n3009 7901\n3853 13009\n5921 14209\n5600 17383\n6415 14914\n4389 12576\n16839 17290\n13582 17350\n1213 7380\n4262 7378\n1492 16190\n1754 8754\n10158 14915\n593 6800\n12415 14730\n936 1573\n11981 15402\n1330 1584\n14635 16304\n12715 16064\n796 10552\n2983 4113\n11083 11205\n6258 17343\n10599 14094\n2105 4959\n10694 17394\n5982 14612\n6838 10336\n2068 17220\n1473 14961\n3894 5014\n3669 12444\n6578 16415\n2628 8652\n4659 6685\n9336 16447\n9403 10562\n1834 15530\n1438 14240\n877 6412\n889 10433\n8342 12936\n7081 17308\n1405 3018\n6415 10660\n12374 16255\n15979 16100\n4973 15877\n7825 12822\n1770 12810\n3513 14379\n2913 12461\n4129 9147\n6128 16130\n4283 10262\n11628 12487\n1137 1593\n5797 7946\n3472 4024\n7734 13344\n4826 10892\n8865 13277\n3841 14918\n12765 12953\n15030 15639\n1130 4652\n14437 17065\n6199 11348\n11227 15861\n9642 11209\n7807 16818\n422 15624\n12838 14861\n5996 12754\n4569 10863\n9011 12848\n1114 1571\n2606 8955\n123 2915\n560 10481\n6186 12026\n9258 12048\n7528 8619\n7015 9025\n5594 6985\n6319 10519\n1462 10429\n13511 17156\n3796 15624\n6248 12104\n8972 15983\n5257 5604\n299 16571\n13428 14545\n11557 12227\n3858 4787\n2195 12474\n9831 17112\n2832 3221\n608 9095\n2198 10321\n3456 4476\n27 13181\n14651 14783\n6930 11922\n5153 10559\n9228 14006\n2955 12388\n740 15189\n2706 2739\n8096 11323\n3088 6979\n2744 3128\n10349 16434\n4865 13309\n5325 8307\n6185 16422\n3454 4221\n7269 17368\n7383 17080\n5198 16667\n1067 3734\n7380 7649\n5879 11026\n11044 12625\n1396 3530\n2721 11264\n1392 5974\n13153 14120\n5495 10825\n8608 14567\n7429 15591\n4316 9192\n11777 15290\n6163 10945\n4413 16755\n11238 11729\n16706 16781\n12375 13771\n13877 15458\n1881 15611\n2929 14688\n4660 17076\n6056 11616\n12642 16407\n6937 9778\n7522 15242\n2327 13263\n1985 10856\n1523 8371\n5492 6908\n2198 11879\n13536 15840\n4381 10339\n155 5388\n4304 13465\n2714 14201\n1689 12388\n6411 10333\n8079 11022\n1717 16470\n4652 10702\n8335 12434\n5891 15731\n2114 12889\n5155 12477\n3272 4884\n5988 8314\n13331 17145\n15259 15891\n10079 15233\n14327 14624\n839 1182\n3256 4429\n14134 14378\n3689 8366\n5928 17095\n2971 6121\n3479 15633\n2199 14514\n2132 16191\n12460 14238\n14509 14742\n1763 12795\n6790 13619\n3790 8312\n2616 14942\n4555 11671\n2757 11537\n10812 11823\n32 1153\n9380 16894\n69 16196\n3194 17174\n4311 14013\n7946 10383\n10960 16306\n7372 9270\n7572 11172\n3255 15847\n3380 11951\n11426 16976\n13255 17416\n11837 12575\n3626 11893\n9514 16616\n2838 12395\n9408 10472\n3542 4447\n1825 12937\n15722 17194\n10206 12676\n5149 5668\n4822 14744\n522 1954\n12306 14401\n5323 9444\n4513 12195\n8500 11830\n8728 15817\n6654 9760\n4473 5484\n319 8832\n1613 9532\n5792 11550\n3965 4674\n10666 14689\n4057 11599\n3795 15385\n8182 9171\n15783 16859\n4903 14211\n8236 16996\n1578 8136\n7510 7796\n4601 5636\n5602 10736\n202 13893\n3542 14723\n5340 11598\n1154 14512\n7034 7092\n14077 14184\n5150 13687\n11880 12203\n4529 7609\n3844 16842\n6513 11463\n10034 12026\n3475 7265\n4320 15252\n13365 14717\n4211 8987\n2622 16397\n2879 4905\n6856 12524\n13177 16943\n12275 16357\n4631 17303\n209 2832\n3577 7111\n2321 16567\n16913 17300\n1785 13780\n5971 14149\n11935 13860\n4629 16853\n9340 13291\n683 3774\n7584 8858\n2639 6408\n82 5459\n10226 17455\n1462 13362\n6577 12774\n720 14402\n1038 14160\n2481 14728\n342 10087\n15506 15936\n92 7029\n6459 12634\n12057 16527\n6916 14360\n3399 9981\n548 2109\n12160 13104\n3649 16092\n822 15978\n1263 13693\n7240 16731\n829 2506\n1160 7059\n2920 11232\n11788 15609\n10776 10862\n2847 13658\n2235 15982\n6454 13876\n6871 15564\n2814 12837\n4140 4500\n13477 14719\n302 16211\n2081 4739\n11430 12283\n1112 10029\n11005 13487\n4862 8367\n176 8430\n1164 10536\n16218 16906\n834 5846\n2676 9947\n5187 17346\n11259 13454\n4582 14051\n2406 3910\n5761 6378\n4517 6180\n10355 12169\n4887 10428\n4984 15659\n5373 14215\n7826 15161\n6965 15117\n5864 8550\n2659 16405\n6095 6770\n11220 13570\n8580 14545\n6010 6931\n3961 8767\n5240 8096\n2403 12798\n4478 11453\n2209 16702\n4094 12995\n2021 13581\n15818 17224\n239 9876\n8821 11393\n6034 9013\n792 904\n7933 14368\n1603 15478\n2732 17099\n11437 13660\n6038 6676\n4090 12614\n2443 9703\n7930 8017\n1982 12932\n11336 11405\n5313 7373\n2730 4764\n10133 15494\n8674 14842\n3930 7806\n7491 15026\n3866 14538\n14254 15280\n3793 12266\n7486 11939\n6648 15375\n4411 5731\n1074 15229\n217 4710\n2631 15629\n7455 10894\n293 5080\n17034 17404\n6912 7180\n13081 15701\n8587 16496\n172 13963\n2522 15362\n7686 15849\n11843 11939\n11476 15981\n6882 15065\n5575 7504\n330 1968\n11488 12908\n4382 8033\n2960 5354\n9248 13005\n8949 15345\n1168 15202\n10060 13820\n1161 4432\n999 16734\n12991 15009\n2031 6215\n7690 11038\n11727 15810\n4493 9725\n15204 16464\n4958 10255\n11762 13356\n2601 2821\n5057 11097\n8683 13464\n7762 17177\n3211 10864\n1682 8040\n2528 16709\n9628 11580\n7281 14420\n9314 11440\n6677 8501\n658 6634\n2419 14878\n4398 4867\n7222 11062\n6062 6309\n10208 15597\n9345 16058\n2946 15683\n5902 15551\n459 17266\n1185 8353\n3408 8764\n3492 12096\n11992 14556\n8332 9131\n5606 13863\n10349 16257\n5305 15855\n2769 4193\n98 4967\n9986 13362\n1253 1725\n12211 15001\n1862 9569\n8629 11278\n2215 7374\n1468 6973\n5700 11707\n319 6115\n3183 3222\n5735 7793\n1809 16952\n12899 16890\n664 1043\n580 16333\n13369 14395\n5569 12900\n7209 7655\n3422 9740\n3200 16564\n5690 8070\n166 6079\n9691 16010\n1618 8707\n1031 11022\n1228 7993\n2861 11700\n6767 12135\n5670 17387\n5004 10302\n13255 13505\n2144 5935\n7560 7999\n5190 8605\n618 10911\n8291 14218\n3857 6371\n441 3635\n5022 5190\n7574 12038\n3527 10258\n12664 14154\n9995 16811\n254 8728\n6563 9683\n5717 12564\n3925 10895\n9426 13891\n173 16914\n7344 12180\n2775 10877\n7804 7816\n4185 5388\n4239 15765\n12441 16078\n1185 11646\n329 6991\n12282 12421\n3367 6759\n6457 16364\n12660 13729\n5437 7202\n9160 10615\n1965 16672\n1960 15607\n6170 13478\n1717 13475\n5513 12533\n6904 7953\n8101 14307\n628 14496\n2777 15463\n3283 3293\n11886 12209\n3217 14617\n4449 11277\n6938 12015\n1948 8270\n3896 5326\n184 16279\n11560 13218\n5792 15721\n7779 8894\n2962 10841\n8075 8612\n2935 10194\n4380 7286\n938 9317\n5263 10561\n8459 16862\n5504 11003\n10585 13348\n5891 8569\n1902 6622\n6354 9583\n6769 9868\n3390 5608\n5759 6094\n13087 15165\n1064 6789\n859 4222\n10574 12063\n1112 5594\n2633 7748\n3283 10372\n5364 15382\n1596 6514\n12276 17442\n7269 15941\n7298 15858\n1781 15854\n5846 12961\n7424 15601\n1241 1602\n11163 11558\n2550 3005\n1983 5645\n8364 11662\n9836 15494\n257 8413\n12688 16438\n4999 8929\n410 9402\n2017 13569\n1407 16508\n612 13361\n11604 13590\n3937 15241\n8695 9888\n5763 16968\n8737 13291\n2495 7676\n16791 17093\n1430 8261\n10543 10805\n5469 9762\n10731 12369\n6480 7405\n4815 10998\n8622 11931\n16165 17138\n3704 13997\n3755 10172\n12647 15862\n11601 15290\n8777 14846\n6542 6820\n16054 16188\n2130 9874\n12711 16804\n12435 15567\n4498 14470\n141 17185\n6861 13080\n2496 12642\n11102 15756\n1122 1809\n5962 10895\n7167 8077\n2760 6620\n7546 12587\n1222 13900\n1053 10637\n2608 11964\n4238 14356\n2523 12690\n4585 8516\n8973 9119\n6227 13392\n5686 15648\n7932 17050\n7206 10364\n5940 12109\n2808 8194\n408 5984\n1136 6358\n3171 8280\n15013 15779\n4044 15796\n10590 11365\n2712 13559\n1670 5330\n12599 13710\n10225 11490\n8304 9743\n6382 16258\n1069 16601\n11020 15882\n1728 11689\n9109 16285\n822 4810\n1557 14350\n3439 6933\n956 11538\n2957 6405\n10490 15025\n5395 12068\n8039 15772\n10112 14554\n8077 13574\n12152 12726\n6337 9171\n8714 13286\n8149 16466\n2440 15821\n4588 17189\n5402 14471\n8725 9285\n1527 6881\n7253 11040\n8408 14810\n2086 3622\n12163 12961\n321 9363\n8373 10152\n2978 11289\n8463 11052\n8068 9720\n4443 13855\n3750 4745\n14368 14862\n14056 14981\n223 17163\n8968 9302\n2654 15439\n9240 12092\n800 15154\n5068 9155\n3456 9030\n6937 12603\n6868 17349\n3539 15051\n9684 16670\n1012 2588\n964 12771\n8894 16055\n8310 15568\n1574 7299\n8608 13228\n15550 16724\n4707 5525\n5478 9902\n5392 14276\n12091 15115\n12147 13224\n3306 3950\n6111 15306\n16397 16701\n1221 1783\n8040 10777\n4687 11701\n6348 17194\n2870 16729\n884 11600\n12421 14640\n1571 8154\n6088 6125\n5033 5636\n3864 11805\n3008 16279\n8695 12524\n7223 14929\n11153 13391\n503 15647\n8124 8391\n4448 6888\n11073 16347\n5135 15402\n1717 2189\n7657 7992\n5821 12552\n513 14577\n9775 10907\n9948 14720\n1459 12227\n9630 16798\n4268 12267\n15492 16286\n5110 10560\n1094 17089\n7225 11027\n12558 13108\n2489 3903\n9284 14265\n9422 10255\n4266 13521\n6326 16736\n7901 17398\n7213 8710\n12916 14453\n2819 6408\n9252 12740\n9555 10128\n5031 7977\n10993 11546\n8762 17431\n6640 13257\n1867 16504\n36 4190\n1429 15369\n1534 2468\n3692 8505\n3717 15026\n8822 11191\n4294 14681\n2098 12528\n5975 15981\n7791 10600\n8325 16238\n6113 15617\n5022 16760\n1149 11717\n11115 13270\n89 13992\n1742 2474\n5355 9069\n11076 16509\n8146 15582\n5384 9356\n11827 14709\n3626 6778\n9419 12487\n4990 8613\n492 6309\n520 1373\n10241 15020\n609 4202\n16119 16835\n1848 4933\n8400 14270\n5650 10645\n4802 16179\n13924 15867\n4326 13834\n5909 13322\n9678 16528\n9049 9649\n1864 6432\n3119 3273\n1090 16119\n167 3665\n349 17007\n2240 10265\n4838 12083\n7892 13964\n11108 15335\n12645 12873\n1304 14211\n4956 17035\n6697 12829\n15246 15494\n1497 12452\n15683 16677\n2435 4027\n1859 12096\n1450 4280\n4256 13597\n13579 14248\n1601 7802\n457 13482\n13618 16123\n5654 6361\n764 7067\n3302 4013\n5956 11243\n9301 15386\n362 12367\n2920 9949\n944 1296\n6532 11512\n13331 13426\n14479 16534\n837 12490\n7020 14637\n1321 5782\n6267 14838\n1506 4968\n47 14109\n11210 13938\n882 955\n10100 11324\n6291 12445\n4919 5012\n6756 9201\n286 14638\n12257 14046\n7947 14576\n6040 8090\n8161 15295\n9188 9778\n6467 13027\n2536 4716\n10473 15530\n1780 14167\n10855 16482\n2128 3691\n2544 6023\n10269 16665\n8949 15240\n14365 15888\n4085 4697\n15413 16882\n12464 15993\n2990 12575\n5859 7263\n7692 14966\n7580 16665\n3386 14758\n3169 15684\n1384 14021\n7081 16441\n2259 6834\n4836 10619\n9435 10195\n3025 14781\n3225 3944\n682 7390\n5685 11604\n5699 6329\n571 1561\n2542 4314\n15666 16472\n2107 12640\n6543 10319\n1620 9608\n189 11546\n10738 11463\n459 14923\n5844 15620\n686 1565\n1526 9257\n4258 4877\n994 11578\n2413 10792\n6233 14270\n6694 6913\n3825 11174\n3699 5099\n5296 6489\n4263 8952\n12319 12445\n2975 9463\n347 16361\n13327 16921\n9331 12394\n2139 5327\n4931 15932\n3752 16797\n555 1172\n7814 14857\n1529 10247\n3004 5840\n6245 14433\n11655 12974\n3893 5941\n4172 13815\n5709 9315\n3066 10584\n8272 15016\n6345 6926\n4507 13507\n8998 15103\n12067 17002\n11005 12798\n3937 15888\n11775 13490\n2217 10209\n6858 16107\n6 13080\n1377 4019\n21 6260\n1657 13227\n7442 15944\n451 15240\n4265 11766\n3262 12802\n1601 4922\n1445 6999\n7186 8190\n6749 11241\n2121 12134\n1022 11868\n826 7711\n612 17402\n1792 8596\n7219 14690\n3268 9234\n1686 7514\n2991 8843\n12284 14933\n690 8340\n4769 7984\n2304 15823\n1855 9048\n212 12659\n14041 16044\n16926 17106\n3255 11800\n302 9062\n2066 6321\n2984 4225\n10782 10916\n3481 13530\n2214 2886\n752 854\n1893 7605\n2065 5286\n10926 12683\n10914 14407\n4603 8206\n9369 16990\n615 15777\n14382 15385\n3794 8301\n15067 17085\n2288 13844\n8839 14691\n4215 16872\n4536 14860\n4021 15888\n5799 7357\n8625 8851\n4719 10393\n13592 13648\n744 4547\n13438 15680\n3790 6315\n2375 12808\n9283 12249\n7396 14342\n7350 7802\n8747 13776\n6887 14069\n4856 13905\n2766 5930\n5222 15726\n2448 8809\n2446 9439\n10929 14362\n13341 13397\n10864 14798\n1089 1229\n2393 14013\n3033 14243\n12192 16452\n2080 12507\n13629 14217\n4082 4319\n8026 9329\n11547 16638\n13751 15860\n6364 7102\n2481 12100\n48 15070\n11254 11707\n16320 16417\n4677 14936\n4444 5286\n5805 6778\n2216 11509\n597 7249\n13042 15337\n1088 15905\n3057 15999\n4773 11572\n10441 10804\n4085 15459\n6045 8140\n9674 11253\n11604 12850\n7184 8495\n3071 3527\n14626 16663\n3474 17264\n3135 17416\n2081 14375\n9356 16977\n5331 10711\n122 13931\n12403 17210\n1380 4355\n3345 6151\n4738 17180\n9785 13727\n1482 8068\n2177 15141\n1894 13327\n15915 16569\n8840 10631\n13452 15107\n8390 15915\n8429 15921\n5421 9340\n10308 12026\n1981 11829\n1305 3691\n6219 6645\n3069 8480\n1539 5558\n2115 2195\n4399 6918\n607 13455\n3167 8510\n5657 8365\n6257 12090\n10825 12612\n11339 11481\n2811 3685\n658 2298\n10113 11093\n4306 12408\n5911 11758\n8851 13017\n9177 16678\n2759 4895\n7548 15377\n7242 12144\n14757 16781\n15185 15652\n1083 15349\n3794 15011\n1109 2680\n12413 15538\n8772 15131\n593 13952\n7726 14816\n1457 16401\n6909 10258\n5257 6373\n1057 15048\n4783 9158\n9788 13503\n97 16901\n13568 16049\n10175 12876\n8249 15719\n8088 14539\n2260 7725\n7744 16864\n2976 16541\n7314 14256\n13785 14260\n1428 17406\n1249 14598\n5418 17307\n8746 12604\n2819 12617\n1526 16170\n25 14725\n7814 14143\n13829 15408\n2949 8358\n612 4181\n2148 2583\n1616 14170\n8326 14084\n9812 14270\n2163 11088\n2005 9257\n10881 15962\n10200 15150\n2812 3838\n7247 7508\n6464 15844\n10959 14413\n16463 16520\n10552 16178\n2365 4949\n5585 12762\n3000 9009\n2472 4515\n9387 13001\n8750 11841\n3558 4018\n8409 17350\n3429 16390\n12807 12988\n3467 13033\n2506 9809\n344 12815\n137 2797\n1423 1515\n2229 14673\n3510 4233\n1820 6139\n6619 10970\n5328 10131\n3979 9130\n6421 8468\n4815 14040\n1390 2328\n1973 2244\n2147 8115\n7829 8663\n1289 3387\n12259 15517\n5814 8485\n12380 16155\n4881 12850\n2407 5133\n12906 16586\n7117 13800\n648 7106\n2922 10267\n2587 6958\n13030 17160\n7861 9529\n5230 6805\n634 2938\n6921 8143\n5126 7089\n6366 9176\n14989 15616\n8949 13363\n3192 4872\n1565 11277\n320 1501\n12061 14082\n4886 12266\n8176 12863\n2586 11783\n6922 15095\n9420 17369\n36 16381\n2163 5743\n10024 17406\n12096 16577\n1002 4914\n11657 14911\n9925 16000\n1236 1961\n8202 10770\n2361 3354\n9842 10354\n2972 9352\n5926 8442\n6688 7257\n2264 8370\n14664 16882\n14408 16786\n23 8632\n6766 8569\n11488 11508\n8345 9380\n2633 11424\n1638 14358\n3704 10411\n4115 12969\n2302 15561\n12954 15628\n10694 12332\n1602 15526\n8265 17382\n3109 5742\n5517 14116\n2944 13405\n7573 16527\n8497 17065\n5678 12188\n58 841\n11080 16948\n3807 12981\n10100 16867\n9009 15861\n1323 1392\n5013 16379\n5542 14150\n75 6611\n7886 12730\n1728 7629\n7723 10489\n1574 16268\n7340 16051\n9632 10925\n3717 14536\n7736 10373\n14354 16569\n10188 17391\n940 7501\n8595 12173\n9997 16179\n6154 8308\n9417 10829\n8491 12350\n1410 14093\n14947 16855\n3169 11268\n5459 7392\n3357 5277\n2976 7254\n498 12194\n1102 10035\n11724 12827\n3110 9203\n6516 10986\n7146 12195\n3581 4559\n15070 15929\n15395 15980\n9669 13610\n1444 2725\n2819 12560\n6143 7142\n3816 16815\n14666 15139\n3404 17401\n11514 17059\n5798 13087\n9830 15411\n4202 15072\n7954 8196\n2190 11268\n1353 5076\n14363 15927\n7686 11206\n8450 10945\n7576 7641\n8337 12907\n4629 11862\n4345 17019\n3676 4271\n2174 8207\n6400 13920\n822 3115\n2521 8182\n1184 15759\n8068 11648\n9923 11293\n7595 10858\n3912 5284\n6466 9324\n944 12019\n6687 17141\n11580 11958\n8860 14395\n7274 10461\n2171 16525\n4802 14349\n2977 12276\n6580 13680\n2499 10561\n1383 9021\n2233 10946\n11773 11928\n15214 16302\n3491 4233\n4215 10738\n7132 9845\n7347 12124\n13670 16833\n7372 7952\n5089 13508\n4180 8966\n12771 16282\n3634 16057\n1535 16972\n3069 5534\n3528 3683\n5082 5756\n11234 15205\n8054 15654\n10470 12014\n10897 12588\n2493 7080\n11751 11860\n7816 11636\n9851 13599\n6351 13118\n3604 6961\n7922 9593\n5959 14548\n7613 8770\n3749 12314\n4047 13229\n3265 4409\n2390 15875\n3552 16088\n15647 15874\n3272 8448\n2630 3109\n4412 13304\n2094 13455\n3528 6908\n2045 14570\n8264 14087\n9643 10555\n1471 3011\n2011 12878\n9660 13572\n6079 10778\n13323 14207\n5066 15970\n14574 16349\n11527 15180\n248 5334\n1763 13365\n7843 8611\n1293 13801\n7384 12377\n10660 12383\n15433 15917\n3097 4900\n1734 5225\n12229 16246\n4668 8437\n1055 2394\n7664 13057\n10936 11409\n9290 16835\n4341 4907\n2575 3821\n7673 14069\n2731 8757\n530 2645\n13879 16057\n8755 16692\n3984 17165\n3819 15139\n625 2220\n175 6260\n9208 10256\n11578 15134\n11616 12080\n7316 16307\n5055 8344\n2942 13121\n4285 8496\n1949 6326\n3785 12992\n12973 15629\n5635 11878\n3314 12781\n1596 5919\n7080 8854\n1763 10568\n6712 9286\n8878 9002\n5656 15238\n2966 9002\n1054 12795\n669 1496\n1943 6139\n4860 13966\n10307 16593\n3157 6749\n5328 7947\n4241 7218\n3592 11663\n12582 17333\n12658 14185\n10368 15328\n295 1729\n3625 14055\n7983 9425\n5544 8730\n3212 17389\n114 7191\n2319 4531\n3714 6452\n1556 15220\n4237 15760\n2603 9577\n6184 6195\n4738 11763\n3843 5253\n14981 16399\n11920 12607\n8971 10515\n8695 14891\n9245 11223\n1266 8396\n1220 14437\n7052 16516\n13887 15262\n1961 14655\n7114 10602\n4000 9664\n2278 15994\n3295 16183\n14731 14782\n6728 16318\n3956 7450\n12823 13158\n6821 6920\n2729 4676\n4492 12661\n783 13452\n4216 4632\n7992 10835\n1003 7654\n4695 11939\n6550 11353\n5237 10454\n2877 7930\n4235 8022\n274 13899\n9494 12970\n12252 13252\n292 14893\n1283 14972\n10638 17064\n3877 17399\n6261 12454\n16504 17053\n6849 11218\n1030 3317\n4755 10542\n9498 14603\n1150 9581\n1655 16135\n175 13083\n7372 10424\n4431 7745\n16176 16703\n9873 11860\n12585 17301\n7145 16645\n10530 10599\n6073 13618\n2739 12514\n10881 12455\n591 10519\n5922 9483\n8114 12763\n4803 5688\n5781 16900\n2543 15746\n1569 10807\n240 13678\n7012 12297\n7315 10114\n4203 13855\n1593 10120\n7425 13953\n4701 10433\n9810 15301\n10285 16546\n9547 15783\n16319 16710\n1780 7185\n4105 17199\n7119 11353\n2058 6864\n123 10490\n3696 16427\n11565 17276\n5270 5273\n928 14802\n7773 14100\n6697 13662\n9368 10854\n4748 16831\n1858 7162\n6631 17113\n9908 11174\n14466 17343\n5119 11884\n6972 8881\n9304 10610\n13207 15702\n544 881\n1780 6836\n11305 13355\n3223 11647\n16524 17042\n5543 9585\n5748 9834\n183 14076\n6197 13607\n693 14469\n1814 5557\n751 15315\n10311 11765\n6332 14148\n998 14067\n2281 2543\n2000 7097\n14346 16644\n12226 12508\n12504 15269\n9257 16580\n3329 17160\n144 9847\n1362 8235\n4078 11714\n399 11784\n1135 14103\n10703 16790\n9041 15976\n1465 6398\n4367 4431\n12792 17133\n12379 16146\n1081 4364\n11969 15248\n7559 10678\n3049 15364\n3197 3884\n331 2996\n5142 6372\n12509 16101\n2876 16944\n8719 16847\n2765 11140\n1872 5220\n264 846\n15950 16863\n769 3832\n2717 12799\n5131 14737\n10169 11576\n2738 3576\n7944 10813\n1396 9643\n12517 14750\n8396 16676\n12669 14838\n3350 3755\n6191 12332\n7080 10734\n10422 15602\n4856 13982\n10650 16573\n1056 9354\n12168 14542\n337 5773\n2656 6920\n2235 4824\n5441 7090\n8369 12233\n842 17273\n1051 9290\n1689 4636\n5003 15479\n225 4556\n8773 13346\n6032 15322\n1293 9669\n15567 17289\n8150 16752\n4169 11009\n2147 16942\n5043 9799\n1267 13688\n2556 6881\n9673 12939\n846 14598\n7503 11190\n3913 9698\n6132 6226\n2475 2579\n1096 2775\n3732 14361\n5605 13431\n11709 12128\n8769 13871\n6875 13371\n1851 16919\n6258 11445\n8085 16012\n1943 4001\n1224 17131\n6259 17157\n4146 5456\n7082 10748\n12611 15798\n8396 14664\n1516 6565\n11307 13724\n9770 17457\n10160 17001\n1807 6296\n2438 10930\n1374 5833\n14335 15737\n4901 16625\n1731 15323\n2345 11326\n3518 14493\n1130 5407\n65 2326\n1137 6715\n136 334\n4341 14112\n3598 17461\n2189 5135\n11213 12372\n2394 12950\n1007 14073\n6260 7450\n7103 10244\n14234 16363\n5787 11963\n8525 10590\n7306 16644\n4341 5492\n14457 14577\n6614 16560\n3012 13140\n1892 6838\n11392 17236\n13428 14932\n2971 14151\n519 8052\n10285 16585\n4237 10187\n2117 2710\n289 6449\n988 15343\n2929 13285\n3623 6688\n2622 6338\n2559 10491\n8471 14786\n2513 6772\n10503 14949\n11635 12963\n2348 11028\n5162 5244\n2135 11771\n8472 11867\n2488 9132\n5641 15120\n8924 10243\n10148 13368\n10407 12511\n6800 16244\n10162 15275\n7362 12223\n1363 2216\n7042 8050\n9757 16436\n6406 13610\n556 17007\n2702 14450\n5192 16928\n7154 16478\n11590 12352\n12198 13462\n747 13208\n367 12602\n8378 9700\n5978 12546\n6111 8917\n362 15194\n7793 14495\n3835 12290\n273 4035\n1205 14540\n3936 7309\n2552 4587\n11586 14358\n10362 15639\n1343 5973\n10949 13177\n776 881\n4806 7403\n9041 14707\n1521 14313\n912 1785\n3262 8922\n5926 7313\n5725 6302\n154 11980\n751 15639\n13424 16677\n5449 7815\n2688 11795\n11051 13247\n1599 4092\n6431 11755\n8718 13780\n2426 13487\n1694 12085\n4703 4986\n6298 9972\n4144 8493\n2038 12666\n4058 7245\n9946 12100\n5326 12213\n8040 9285\n3054 5250\n6924 11354\n1880 17342\n7348 13010\n8147 9163\n2602 10872\n2081 12574\n5422 9577\n6467 12445\n8534 12948\n907 9587\n2709 14902\n14045 16018\n4705 6776\n13113 13118\n249 1473\n8149 17258\n5989 10532\n9856 13694\n3542 16291\n1598 10543\n1113 16904\n9564 15351\n4763 7029\n5179 7247\n2599 15860\n9880 11943\n2322 11306\n4062 17403\n1724 6410\n12066 14388\n2476 10201\n5100 16629\n11592 14818\n630 15087\n13878 15330\n5071 8241\n7836 15380\n7464 16093\n3186 12011\n165 728\n1335 6631\n5698 10640\n4420 7171\n1709 12236\n1375 16094\n3261 13011\n3839 7411\n7254 11364\n2506 3039\n1274 9291\n476 14091\n7476 17268\n11117 17387\n9137 12790\n3964 6658\n863 8155\n3345 11952\n8113 12370\n17075 17312\n1700 10335\n16855 17008\n3761 8338\n2449 12613\n9239 11126\n5795 13941\n7771 14082\n8480 12484\n4418 13504\n5105 13894\n4504 7466\n12408 13098\n2304 10954\n10828 17240\n2142 17299\n730 10993\n3534 13286\n253 4079\n6219 11172\n3110 7314\n1254 11124\n7660 14072\n5833 10843\n7756 9342\n5543 8662\n3845 14866\n3449 8297\n3531 16271\n10827 16523\n4448 16469\n5199 9369\n3536 6534\n3693 13738\n9826 10986\n13131 13404\n37 7162\n9763 15685\n5915 7633\n572 7403\n2298 8969\n10595 12092\n6568 11421\n3597 11101\n2366 14224\n8485 9777\n1387 12596\n11124 15148\n3823 8885\n12072 14048\n12236 16620\n6098 15027\n88 980\n8626 17004\n14157 15352\n16667 16855\n6366 12344\n709 7226\n33 15119\n5249 13032\n55 7169\n5132 12535\n2654 12292\n12640 13547\n3383 16015\n5386 5491\n3521 11717\n37 4002\n3075 16534\n5190 11995\n3733 12746\n2451 7362\n13055 16440\n3319 9538\n10858 13914\n6576 7495\n1678 2060\n877 888\n12008 13440\n10786 10995\n13501 16882\n10427 11064\n9980 17096\n6582 16960\n5909 16357\n4654 10026\n9188 10893\n6385 15819\n3936 7219\n10234 13053\n6789 12902\n8919 12874\n9838 14116\n3743 9244\n419 6587\n11167 11474\n7375 8032\n13452 16390\n5719 16390\n6906 7060\n3111 3179\n13272 13555\n3774 14978\n8314 15424\n11760 13443\n10651 14852\n2268 14778\n10676 15456\n224 2057\n1736 6135\n8170 11282\n1498 5641\n2844 5557\n2715 6887\n3992 7553\n10423 16662\n6378 12067\n9627 16111\n3036 9018\n5106 7589\n13195 13404\n10516 16480\n719 8853\n6107 15997\n2559 8870\n1052 14504\n2320 3604\n1660 8083\n13758 16673\n4098 13753\n2824 9066\n3345 11105\n11942 12265\n10742 14429\n1121 4935\n4365 7689\n8593 16302\n80 10337\n5075 11370\n9001 16713\n7834 15979\n73 4900\n14457 17030\n12900 15955\n8480 17048\n4831 6676\n7718 10555\n4202 12203\n12727 15496\n6876 12926\n819 13329\n5654 7479\n1930 13135\n10470 11194\n5496 9214\n4086 5410\n14802 15395\n1121 15529\n6345 15855\n4096 7712\n477 12321\n3885 7162\n6664 9829\n7345 15125\n3165 17456\n14674 16604\n7969 11782\n1299 13078\n13344 16066\n3341 15174\n1187 10251\n8361 11268\n8483 14078\n4568 17137\n3347 5005\n2421 6100\n1529 9902\n370 17311\n206 16039\n3252 4598\n6271 8162\n17100 17328\n5484 13258\n3293 11746\n5171 11043\n7119 8152\n2786 13605\n2711 11361\n216 6808\n6939 17095\n1010 5598\n10737 10873\n3429 9342\n4060 14795\n1745 7776\n7240 11025\n9405 13885\n2376 17206\n4115 7040\n9594 17306\n1822 13527\n6049 13392\n9093 10486\n14814 15474\n12907 13727\n453 10307\n12239 13838\n1264 9911\n8764 16893\n8647 14697\n1202 9755\n6082 9474\n4438 9147\n9308 16416\n1163 6138\n6744 9603\n1559 5854\n12310 17080\n2718 13307\n3358 4055\n3760 16001\n1269 11924\n8301 9575\n6587 15132\n12183 17222\n3211 5240\n826 14434\n4891 5966\n13017 13081\n1916 17115\n1708 14462\n8264 11440\n3086 14896\n8618 16679\n11208 13254\n6742 13261\n2167 9872\n9191 11478\n11592 16958\n5789 11882\n11243 11590\n12087 12983\n2427 2905\n7280 9761\n3800 16008\n5308 5879\n1019 3803\n688 10937\n90 1234\n516 13629\n6284 11891\n398 7645\n13122 14358\n11445 15346\n3479 13272\n1274 11172\n11101 16224\n8599 11980\n2879 13154\n318 12096\n1727 12393\n6332 6785\n10504 17179\n8610 15411\n3851 11111\n4527 15398\n4119 4546\n6729 9976\n12138 13093\n4745 13039\n2197 14755\n1862 11398\n461 2461\n4903 10839\n12752 13604\n12889 14831\n8083 9306\n716 8183\n4831 15029\n1458 16168\n1986 2161\n7493 9270\n6936 8031\n10554 16962\n1473 5678\n229 8565\n11748 11893\n728 4103\n11849 15256\n2286 9716\n1548 6502\n1270 9455\n2628 16359\n9516 9843\n2032 15311\n3059 3930\n1316 9183\n4214 12346\n971 10406\n5325 11885\n2324 14459\n2708 17404\n3218 5328\n7093 10382\n6573 16777\n5211 6193\n5682 7134\n3386 17165\n2980 16653\n9673 16588\n5811 9330\n4034 15355\n4477 16774\n6901 9299\n143 8672\n5304 13447\n7277 13242\n6135 8407\n4277 6310\n6584 16756\n5098 11783\n6563 8621\n6628 8265\n1598 2616\n1600 16697\n14455 15428\n10577 12395\n8672 9813\n11926 14985\n9082 14349\n8202 11641\n1799 9141\n11723 15115\n271 6708\n7350 16190\n4596 16490\n12254 12263\n5017 16727\n1938 15910\n1801 6156\n8511 13112\n7342 15740\n3286 11631\n6603 17161\n2882 3696\n7055 10843\n8450 17071\n5538 13462\n3610 6545\n2291 2654\n2203 10651\n8005 14650\n11454 12121\n1387 8901\n1489 7479\n966 15843\n7549 8507\n3591 4329\n10838 16396\n7627 7876\n12456 14929\n3795 16710\n7130 14203\n9070 15033\n10734 11878\n4975 9807\n9527 12185\n3194 4521\n243 5037\n974 9663\n5103 15041\n565 801\n10288 13881\n3294 12267\n15036 17008\n10471 10929\n11995 14704\n2120 4502\n3439 10972\n4720 14620\n319 12479\n6916 11168\n5378 15070\n935 10263\n6772 7288\n7679 11216\n6063 12118\n494 9363\n6353 11916\n37 17397\n6930 12203\n6757 16544\n8195 11119\n3647 17230\n400 16113\n2073 4588\n3951 11002\n382 8574\n2600 5595\n8142 16303\n4044 5247\n12925 15463\n15131 15776\n10274 12650\n7610 16957\n12754 14510\n5956 15003\n462 6874\n4682 12759\n11396 14958\n10808 13442\n11193 11288\n5963 13140\n2173 9105\n7135 11579\n146 4005\n1044 10515\n7473 10188\n4346 14883\n1995 13030\n4402 17211\n2551 5761\n14121 17365\n15618 15910\n791 14278\n10844 14255\n3340 12095\n10356 13510\n486 17426\n15154 16642\n4071 7165\n11561 11749\n9408 12969\n2951 3961\n4025 12052\n5916 16100\n3810 4703\n3937 9707\n8127 17041\n2016 3761\n3660 12043\n1566 8711\n11809 15614\n5011 13892\n4254 5966\n765 3529\n7164 9701\n7607 16116\n14949 15994\n9934 15530\n621 3570\n5929 6622\n3606 6884\n11144 14278\n3060 13176\n325 5768\n11128 15473\n1436 2111\n4771 15071\n6227 15377\n78 454\n718 10855\n2358 5485\n6679 15619\n51 8777\n3698 9861\n6996 14632\n12950 14679\n4977 17068\n1950 11111\n12543 17350\n5352 8621\n4896 5461\n10209 12134\n974 6721\n1110 3972\n2736 14292\n3426 14015\n8565 13715\n471 10634\n14338 15299\n8 494\n8027 11981\n12750 14226\n9990 14953\n136 8888\n78 3562\n6053 10638\n12976 15830\n6783 14156\n5857 7589\n6823 8276\n3609 14677\n6759 15216\n7379 16589\n5090 12237\n4699 8758\n1645 2525\n435 1098\n6971 13046\n9841 17265\n3124 7454\n3665 11620\n1839 10602\n4974 7333\n1217 14087\n5244 10123\n3175 9294\n10295 13906\n5962 14564\n7677 15236\n4505 13116\n7874 12345\n38 13077\n6033 14072\n3514 16597\n7852 10000\n5714 17094\n6106 8941\n754 10041\n1478 2648\n7640 8424\n206 17122\n5227 6128\n3640 15552\n5449 7188\n12623 13529\n6307 11167\n5125 6180\n73 4438\n6087 11269\n7139 11649\n3428 11623\n531 7953\n2338 6023\n11548 16193\n5033 6329\n2859 14266\n931 11300\n11443 12008\n11940 15967\n5412 16600\n10495 13468\n9001 10792\n1737 5726\n12257 15588\n566 5884\n4632 7505\n7878 16453\n10918 12742\n2976 6373\n7752 12036\n11478 16204\n7567 9094\n8562 9363\n1176 10530\n3631 10783\n11829 13809\n5495 10132\n867 16937\n1010 3677\n9831 11603\n9540 16361\n7783 13199\n10204 10966\n825 8576\n4094 15429\n2174 5188\n1646 2134\n215 9053\n6826 8912\n1754 16078\n1004 7606\n7239 9311\n4737 6014\n4465 13469\n1765 3388\n14768 14951\n1208 2452\n2277 10057\n5485 13115\n1763 8836\n12578 17209\n3159 8095\n5648 10178\n10899 16528\n843 13647\n2784 14714\n923 12009\n16246 16579\n2204 11734\n1678 17041\n15018 16612\n424 6636\n3165 9155\n2429 3644\n12320 12822\n5123 6427\n13252 13708\n919 7851\n3899 11646\n7494 12655\n3962 7516\n13719 15038\n4648 14023\n6971 17073\n314 4294\n5220 7849\n14497 16743\n2021 2727\n11904 12742\n11873 16557\n4041 10571\n11042 16719\n2321 16585\n552 10678\n3601 8638\n8974 10989\n1200 13538\n2906 15388\n5304 17266\n1635 2138\n449 13226\n104 15631\n10327 11880\n96 1507\n2573 5995\n1914 12826\n2683 3217\n3397 8087\n10571 15152\n4810 8788\n9836 15667\n13352 14862\n14261 17147\n7652 11618\n10237 13115\n9060 14278\n11696 14158\n6105 11107\n8523 9442\n7196 16929\n1123 17462\n961 6452\n14698 16535\n1995 5933\n836 12539\n4020 13953\n6239 6433\n2002 14394\n108 14614\n8985 15752\n3108 7840\n1470 5171\n5930 14727\n7472 8350\n7095 12685\n9503 13351\n1907 16717\n7705 8033\n7881 16936\n8354 13680\n9885 10188\n13486 15119\n3043 12830\n2361 12117\n2877 7814\n5306 16996\n4038 15628\n5788 15090\n10549 16932\n2041 5787\n7396 16071\n10126 13139\n4473 16081\n10155 13265\n3759 6683\n680 3348\n3853 9675\n5625 8913\n4245 9457\n2351 16181\n5810 13917\n7529 10841\n2383 4408\n2300 11900\n12327 14647\n783 6348\n6241 6861\n283 6249\n3505 12540\n3372 13206\n181 15779\n12028 14572\n2453 16883\n13920 15888\n1479 3314\n3775 4544\n14163 15357\n16345 16797\n2167 15381\n4633 11836\n8592 13454\n1340 3487\n2558 13148\n9001 17344\n14258 16405\n10339 10767\n3127 3183\n2014 5812\n670 15625\n2673 16726\n11442 13673\n9909 15670\n262 705\n6044 6468\n756 13061\n7556 7633\n6604 8218\n2615 4580\n8443 12797\n4139 16613\n4573 7836\n2321 9772\n6626 14007\n8521 14014\n2271 6958\n3043 9117\n43 16123\n1651 16104\n6898 12773\n1022 15715\n1065 9464\n3867 13099\n156 15153\n9981 15420\n2176 16704\n2507 11732\n2589 9637\n4606 11777\n1577 6500\n4591 15110\n11240 14734\n8222 8280\n3440 6564\n3920 13773\n6001 11273\n6252 15099\n213 8908\n7553 16124\n9290 12769\n13229 14514\n2044 11137\n2839 5146\n3526 14158\n145 8506\n6002 17257\n3718 7106\n9638 13840\n7446 7958\n1941 7433\n2194 14188\n1631 16587\n6010 14317\n12851 15339\n1792 5128\n6438 12250\n5012 5181\n11810 13375\n4085 12921\n5928 8839\n5482 12498\n3458 5437\n8860 14398\n1646 3307\n8730 8963\n4321 9755\n4498 12790\n11020 15196\n5931 7188\n5698 14234\n6079 15804\n15352 16829\n4270 13841\n820 14946\n1846 16224\n4631 15928\n8743 11585\n1394 3633\n1192 1452\n3864 15238\n4215 6649\n326 6264\n3808 11630\n761 2477\n3438 11259\n6488 12392\n8403 11018\n12962 14752\n2573 4022\n13359 14420\n10201 17239\n3790 13728\n12163 14696\n1126 15314\n2286 7084\n2692 3533\n9810 13981\n1135 3918\n12771 14964\n5166 15765\n13748 15608\n13309 13516\n6602 14416\n1228 15228\n4272 8348\n11055 16199\n2298 14367\n637 7404\n330 14020\n3997 15885\n4961 13104\n144 639\n7811 13731\n4255 13242\n2599 7576\n3549 6620\n11497 17453\n6468 12612\n8773 12315\n5988 13266\n3192 10803\n1968 9770\n6230 11812\n5742 9781\n1723 15823\n8883 15656\n4645 12212\n2412 6464\n7049 9326\n9087 12076\n14533 15012\n3222 9026\n10881 16213\n7465 15904\n14761 16262\n3263 5385\n8356 10494\n11801 12806\n10283 12138\n4147 15075\n8505 14854\n2757 14359\n5415 15805\n2709 15097\n14087 16620\n4021 8571\n3434 16130\n9923 10935\n7021 10954\n3037 11162\n8121 8879\n459 8275\n2602 7575\n5159 9532\n3441 4327\n11239 15876\n5015 14425\n10022 16680\n5433 15437\n230 16515\n603 9045\n2472 13766\n4012 16198\n4117 11862\n3579 5893\n6046 10628\n2354 14744\n7942 16788\n6318 8034\n7720 16014\n1703 9122\n2916 6450\n4767 8232\n3724 11515\n1511 4813\n15992 17273\n10180 15767\n5278 11093\n3453 8283\n2121 16861\n14398 16344\n398 16621\n1589 1717\n3382 16042\n4180 10706\n6304 15088\n15308 16652\n4510 4937\n1556 1946\n9456 10862\n2829 13344\n3759 12692\n16116 17306\n11282 13963\n506 15106\n7642 14393\n6304 14371\n11215 11979\n6448 7796\n691 12966\n9036 16313\n13638 13867\n6661 8778\n4150 9571\n15069 16167\n9101 10653\n9114 15136\n2977 7808\n9536 13787\n47 10532\n133 7806\n9521 9556\n1652 16511\n6436 13605\n115 4015\n12245 15723\n865 16744\n7114 12553\n2110 14318\n397 5054\n6781 7937\n737 17393\n415 9937\n1328 17014\n7838 14695\n494 5266\n7136 13955\n1332 6845\n2989 4032\n1404 4138\n6044 9805\n12058 12343\n3148 11038\n425 7498\n4762 9603\n11915 16822\n6545 7085\n14002 15995\n366 11213\n4088 7027\n4227 8429\n2222 4604\n1172 6530\n8928 13891\n2309 14363\n11801 15132\n8100 13906\n7130 12715\n2971 3358\n2319 7156\n9357 14774\n11644 12637\n130 1328\n13916 16659\n8835 12428\n3873 4890\n9146 12990\n5715 14990\n1402 1442\n10003 13955\n5444 14849\n9137 10852\n8903 9117\n9865 12612\n14313 15162\n4318 7256\n506 6204\n11205 12774\n981 3433\n1750 9660\n13297 14541\n3952 7459\n2665 3762\n2872 8197\n14011 17262\n10432 13468\n5808 15419\n8832 10847\n129 5749\n7741 15375\n1557 14341\n2273 8124\n6621 13830\n5246 11220\n7859 9450\n3304 14430\n3904 4352\n4538 16889\n289 2270\n3274 9347\n7625 15946\n2775 14301\n6478 16656\n1621 14653\n12651 15585\n5812 16082\n3954 4850\n10388 16262\n12712 13700\n414 17131\n11093 17365\n10962 13653\n11243 14261\n677 4740\n4283 9178\n2300 15652\n138 7066\n10406 13875\n5751 11524\n1105 15159\n4260 8969\n9331 10641\n3857 3982\n10677 11705\n9667 10360\n1131 2133\n1661 8060\n2310 11022\n1168 5488\n573 14555\n6858 11823\n1015 16749\n1271 5224\n9323 10170\n13622 13647\n13627 14019\n9379 12552\n5258 13709\n1185 8054\n15771 17123\n5010 5922\n14005 14657\n6878 8522\n13942 15154\n467 9886\n4092 9747\n3320 7626\n6888 14302\n6415 7539\n7322 8649\n2102 6845\n9606 9776\n4250 6056\n1421 13322\n13633 16836\n3214 14526\n1262 15484\n10769 13759\n5726 15528\n7561 12111\n308 10376\n3017 16267\n3495 10183\n2920 10828\n6080 8268\n3646 9350\n7535 12507\n3148 3279\n7394 14026\n1815 9721\n14512 14971\n5448 6186\n1622 3534\n4155 11539\n4485 11121\n7489 11407\n8204 13592\n8530 12598\n4645 17160\n6955 13270\n7452 13712\n2220 14623\n2098 2976\n4647 15500\n16070 17406\n7741 9246\n804 966\n1575 17322\n16449 17199\n8440 10532\n5925 11035\n5843 10133\n6242 15881\n10313 13421\n2910 3458\n411 2614\n6479 11106\n867 6768\n2871 3257\n2109 15874\n7256 8521\n13113 15702\n4046 9562\n2934 14431\n1479 16954\n6163 10029\n6987 16172\n5944 15103\n8449 16299\n1253 14850\n1523 4606\n6723 10121\n175 4466\n2083 2832\n898 5151\n7593 15897\n2004 10192\n10354 16644\n12908 15622\n1853 13478\n588 2760\n5693 10071\n3307 16652\n1944 8093\n700 8219\n9993 16675\n6719 13078\n9127 15414\n478 10033\n7305 8268\n5372 5520\n924 5116\n10931 13503\n10870 14856\n8343 16973\n1422 8551\n11455 14014\n6546 12060\n373 7419\n11598 16082\n14107 15893\n460 9494\n7758 17341\n2881 14314\n1671 15645\n4450 12646\n9225 13479\n4044 10291\n244 1644\n8557 10597\n11165 13435\n6521 8562\n21 6494\n190 6132\n8218 9831\n12159 16268\n4476 9634\n8064 11794\n9561 16938\n5618 8193\n2619 12712\n1411 14743\n3912 6818\n5853 6614\n8877 10204\n1186 8255\n8861 16019\n7739 13053\n3225 11732\n13146 16590\n3167 8660\n15293 16429\n12681 15574\n1222 5496\n15508 16380\n604 1890\n10380 12668\n17237 17261\n5115 8353\n713 4744\n927 12740\n563 1049\n2415 12530\n7145 9877\n11268 15185\n6721 17091\n1692 13550\n3730 7677\n10849 12777\n5078 14432\n10223 15390\n12152 16921\n1696 16549\n12749 13822\n259 736\n108 9828\n5348 8294\n8072 16506\n8376 15367\n4333 15887\n1162 12710\n320 1816\n9171 16020\n9941 17123\n120 1670\n1816 11445\n8483 16064\n2355 5553\n4935 15709\n8641 10082\n5452 6860\n5249 13999\n11372 15043\n9734 14298\n5119 5645\n9198 10157\n3598 11227\n68 15249\n5968 9880\n1688 17386\n4889 9852\n13060 14201\n14983 16218\n2255 12777\n9724 10999\n4593 10781\n1203 16865\n4867 14479\n313 13716\n5581 13874\n7523 16154\n5875 14772\n4142 17289\n4691 13639\n10994 13190\n7575 14971\n651 2152\n10585 14473\n266 15095\n6526 8522\n9117 12005\n4335 4983\n5159 9945\n15540 16245\n1050 2723\n5035 15098\n7617 7945\n2079 14908\n2639 16481\n9514 13078\n10910 16815\n7320 14382\n6120 14629\n442 10377\n5218 16253\n6808 15968\n1641 6702\n6468 11946\n2786 6230\n2392 7011\n7070 17047\n1127 17227\n3655 6401\n12635 14610\n5361 13331\n2458 7276\n14664 15194\n5328 14314\n1468 14971\n7619 9541\n3887 16520\n6341 10416\n6924 15675\n1292 13469\n8803 16417\n8148 12961\n1404 17302\n14048 15473\n8784 13617\n2095 16020\n1076 5477\n659 17284\n3568 6978\n15872 16958\n9725 15682\n16460 16993\n7833 11696\n3727 11037\n5835 13709\n13160 14453\n2013 10706\n7867 8993\n3194 14174\n10364 11404\n1822 17303\n9993 13515\n4161 14486\n4143 7832\n4116 5659\n1020 7248\n6647 16734\n10810 16141\n3189 10215\n7462 15771\n8869 13467\n4164 5693\n9978 15381\n3265 6634\n8997 16473\n8470 13720\n3930 9313\n6674 11035\n1972 14611\n12720 13749\n1383 15033\n520 16220\n7121 17274\n4995 14945\n4556 12394\n1745 17166\n8249 15050\n11800 14730\n10507 16325\n148 6689\n802 12114\n5372 9763\n9082 13758\n13940 16201\n497 1815\n739 2122\n14174 17451\n1246 12886\n2352 9370\n4420 14562\n850 16343\n7787 10721\n1688 13916\n10348 10506\n13864 14463\n1374 4730\n9721 13017\n7499 12608\n14381 15812\n10980 16905\n14891 16654\n1267 14486\n15066 15099\n1815 13206\n4939 14990\n5332 17072\n8114 15705\n1358 15604\n14444 16418\n412 16749\n1726 5646\n2233 8318\n7661 12442\n2230 9034\n4329 6550\n16927 17242\n637 8616\n13079 17013\n4672 17212\n1126 11806\n5197 7636\n1803 11884\n2783 8347\n8936 15937\n1765 3223\n7250 12877\n3705 15486\n11286 17063\n9584 11201\n4675 5679\n5409 11231\n13491 17426\n8607 10957\n1304 5898\n57 10396\n10754 15198\n6465 16420\n16668 16777\n12900 14072\n1709 12097\n772 3685\n8789 13412\n7875 15059\n1854 2579\n79 11532\n1422 8947\n2157 4678\n7919 10292\n1545 5074\n12514 13802\n4263 4625\n3201 9349\n7725 9208\n308 7557\n5723 11512\n3513 14679\n267 16586\n219 5644\n2325 8463\n4357 9166\n8908 9650\n420 9566\n4899 7045\n2299 7761\n4946 14511\n12270 16854\n7292 11036\n12637 15648\n4187 6080\n9829 11701\n12691 13755\n4884 12267\n14659 17357\n811 16384\n2430 10828\n3677 4496\n3089 5763\n1467 9745\n6803 14673\n1079 8480\n9578 15829\n414 2525\n7240 13746\n9338 13347\n3863 16478\n15210 17184\n6026 12357\n11017 14942\n4924 6218\n9201 16918\n6373 14624\n2244 8889\n4101 7878\n7390 8401\n6377 14618\n11409 16246\n3667 5375\n6791 14552\n4465 6479\n166 2321\n166 5215\n2088 5239\n3533 5414\n9826 10351\n3655 9848\n11071 11796\n10192 16885\n1374 7636\n9116 11932\n4617 9522\n2058 9567\n13688 13861\n2948 16263\n8067 15283\n1964 10778\n5005 11429\n12127 15928\n261 4611\n12550 14708\n1961 7192\n5211 5574\n11149 15203\n1983 6529\n9695 16172\n4878 15297\n1339 5071\n1591 3139\n1601 12449\n9060 16391\n8508 11269\n13661 17304\n3379 3525\n970 9481\n12496 12592\n13989 16174\n3880 15365\n35 12583\n4864 12198\n378 6956\n6233 9509\n5118 12895\n4780 14447\n11550 17142\n5488 16986\n2578 15542\n10745 14484\n5548 13189\n5595 9784\n11911 11983\n756 4724\n5098 8967\n1716 10790\n14876 16164\n14269 15930\n5066 5754\n5063 11188\n490 8818\n391 9451\n7577 9322\n3161 10772\n3099 12714\n9167 10381\n11428 16361\n4866 9399\n4372 7961\n9724 16176\n2003 6429\n2208 14772\n12258 16814\n6886 14239\n782 16609\n6976 9198\n2761 11979\n2959 3963\n6283 10516\n1278 17201\n4174 13782\n544 12385\n3322 14291\n6211 7864\n12591 16534\n2622 7358\n7957 10333\n1819 14055\n6650 9596\n2758 3889\n7450 14063\n1834 6494\n13409 16513\n9457 12499\n14869 15482\n8544 15925\n4518 9001\n7743 16358\n5136 13374\n13477 17383\n8279 15006\n2016 9175\n8915 10260\n1613 4059\n239 7097\n4103 8790\n5659 12259\n12589 12645\n14808 15670\n8280 11328\n2262 12617\n2198 5906\n15749 16251\n4242 13361\n6529 10474\n5901 10576\n9922 11255\n1875 11329\n5301 7089\n3916 10005\n11735 16175\n2713 15896\n148 7011\n1059 7222\n1920 7865\n8869 15576\n5372 8524\n7742 11321\n3438 8104\n2161 13555\n5735 7503\n7012 12165\n9422 16071\n35 9958\n12532 12911\n5746 12053\n12036 16801\n7911 16753\n773 8584\n1100 8795\n11288 13464\n7600 10605\n4770 11715\n6668 17063\n1326 13150\n9591 13437\n6497 7910\n2359 15911\n2193 5147\n3401 7360\n12277 12684\n7042 16174\n1958 2480\n10584 12683\n4634 14449\n3054 10580\n1064 12874\n329 15706\n3146 12113\n6240 16701\n701 14930\n11117 13040\n1850 7006\n13757 13771\n9427 14477\n6576 6668\n3789 5340\n6747 10031\n2261 15816\n3625 13290\n2847 3004\n7389 7685\n9117 15299\n2356 5012\n6081 12546\n7009 7787\n807 16135\n2527 8958\n1204 5444\n2091 10004\n9587 11845\n593 6960\n3950 15844\n2723 5642\n893 13274\n188 17192\n3605 4851\n8313 13048\n9831 15229\n15613 17339\n9890 11931\n1570 6978\n954 2505\n10883 17352\n5871 11724\n3497 15042\n907 16088\n6595 10645\n10449 10797\n10297 16745\n15724 17291\n278 7043\n13385 13811\n6784 15931\n2345 14968\n6198 13986\n1429 3424\n507 16907\n11289 17033\n4989 6600\n1388 5552\n9130 9642\n12013 12158\n4388 13091\n9439 12139\n9865 9956\n2692 12298\n540 5314\n275 15930\n3221 15639\n6110 9861\n5119 6399\n3703 3894\n17194 17303\n3624 5924\n2808 5391\n4738 11973\n6424 11338\n11407 15356\n11200 13236\n3479 9199\n12122 15257\n2492 5563\n5206 5470\n3833 12083\n1119 5273\n6094 8995\n3673 10321\n10013 14198\n700 16716\n440 12000\n6306 10903\n677 7142\n2134 5600\n3447 11451\n11477 12501\n9122 13500\n3870 10309\n5811 14502\n5740 15855\n13081 16120\n697 9714\n3850 3908\n12316 17361\n4265 13888\n6008 11538\n6729 14601\n2826 7802\n5099 17217\n4695 15525\n4203 11513\n2366 12036\n9037 11992\n8889 12707\n1590 8828\n248 10012\n15400 16276\n2559 11414\n4081 10788\n9220 12563\n11478 13237\n7792 16084\n2362 7728\n8121 12017\n1819 13053\n3115 13007\n5128 8556\n2261 6292\n4592 8929\n1345 6094\n7570 8238\n8550 10364\n147 7532\n8700 16517\n1998 6202\n3630 9459\n4396 16514\n9447 13316\n17310 17428\n10306 10334\n513 2405\n2564 10512\n2793 12666\n7244 11889\n6815 16356\n1630 17031\n3400 14591\n5745 14861\n9281 12477\n3942 15427\n8967 13805\n10338 12769\n2994 12189\n6170 9024\n2469 9550\n2862 9903\n8073 15459\n120 8959\n14318 16262\n5637 15271\n1160 16566\n2564 11301\n7587 9066\n3348 7500\n11313 11745\n3612 10096\n7717 14991\n2194 6621\n6765 11823\n6447 8496\n9565 10571\n5708 6220\n10793 13601\n4131 14558\n13039 14078\n9898 13841\n11405 15643\n78 3879\n6837 15343\n1148 7393\n1170 11272\n1896 2352\n5251 13267\n4254 11062\n9961 12602\n787 9500\n7203 8581\n2667 9440\n4279 8085\n3783 10394\n10457 10723\n832 9120\n4497 5939\n1819 14059\n1397 10090\n792 9872\n11211 11679\n1840 16889\n5929 16786\n14207 14238\n4182 4818\n3495 15461\n13178 17177\n5878 11462\n12362 14858\n2645 5558\n5994 10102\n9770 12446\n4812 5801\n4313 12746\n6162 17189\n5891 10694\n14288 16869\n2497 15854\n6756 10990\n1653 3859\n10544 17033\n1356 13297\n15263 17165\n227 10328\n13609 15877\n13649 16208\n5959 11728\n6391 7124\n3387 8807\n571 4873\n13915 16371\n5351 10122\n4540 14364\n8050 11945\n4784 5487\n8003 8766\n1607 13120\n2802 3555\n6553 14463\n6540 15168\n620 2404\n2311 17368\n8335 8605\n2556 14941\n2954 10408\n9488 10977\n1156 3766\n7316 13842\n4975 14629\n7922 16844\n2469 7497\n6013 14838\n1194 12319\n3625 15800\n6670 6728\n2010 7332\n4530 17145\n11287 14285\n8669 15118\n7213 17185\n6306 12225\n1090 4493\n3834 12024\n9793 17112\n9947 10963\n3773 15584\n5022 12946\n7294 15617\n7492 15998\n3360 8780\n6865 16349\n6810 15552\n5690 15770\n5233 9021\n789 11268\n1994 4141\n1017 15164\n4021 6179\n4550 5364\n2101 15350\n6873 10263\n10706 12322\n7452 11708\n1823 6205\n4396 5706\n1178 1783\n13362 14113\n3000 12193\n6337 14182\n9074 16358\n3029 7540\n6965 12073\n7755 14093\n2637 5631\n8936 17396\n2965 9202\n2667 13011\n7766 8706\n1908 7530\n9576 14204\n2278 13681\n10701 12758\n1599 3134\n11621 12783\n9863 13456\n4585 7614\n2336 12783\n5681 15131\n1264 10237\n12763 13328\n1444 4012\n1255 2074\n8147 16655\n2641 8858\n8229 10809\n3195 8350\n1949 7475\n4264 15353\n725 17197\n6279 15133\n12196 16279\n1060 13424\n853 14528\n7848 9306\n5899 10407\n921 6259\n239 17228\n14089 14381\n5592 7214\n512 10694\n6469 9490\n12451 15556\n6887 7525\n2104 16862\n13134 16308\n7422 12796\n1140 13543\n6205 9976\n8747 15161\n4085 6816\n2871 6438\n3376 15760\n6454 8850\n7387 13957\n4415 9905\n6508 7985\n1917 5282\n8764 14430\n11379 16393\n14665 16495\n12768 12983\n9607 16026\n5448 7983\n5961 7891\n6468 7867\n12012 12111\n2267 13634\n2859 3560\n3975 8012\n3081 14962\n5268 13786\n9797 17434\n5942 10901\n10764 15926\n4068 5931\n9652 13536\n251 14831\n7668 13031\n11351 17010\n1188 8120\n6239 9720\n1555 9247\n11 15192\n6972 11553\n1097 4139\n5746 8022\n7534 9960\n9928 10944\n12592 14551\n12391 17057\n4950 15425\n8150 9028\n3492 10330\n11001 13074\n2199 11916\n2926 12000\n2290 11831\n1901 9651\n3388 17112\n8721 15115\n2197 2996\n7990 8468\n1333 3388\n3183 16829\n2779 10354\n16486 17120\n5557 16232\n1678 15811\n4654 12378\n2047 4320\n505 16413\n7240 9474\n15106 16417\n438 13597\n6148 12604\n617 6385\n8609 13776\n11453 13993\n232 3864\n1163 2462\n3519 15212\n4661 12035\n6687 11325\n5002 15331\n1546 13750\n3617 3779\n15928 17431\n4825 13577\n6943 15938\n6757 10088\n8943 14940\n5006 11843\n9871 14804\n3709 11985\n6948 14821\n2789 14448\n4750 7564\n9797 12796\n11603 14314\n3309 10641\n12436 15344\n1651 6342\n7919 13146\n8385 11290\n11544 16818\n4609 11354\n4902 8756\n11345 16420\n3156 13877\n3780 15754\n15021 16529\n4118 9674\n4997 7387\n2071 14745\n1815 16199\n3964 13918\n11025 12831\n9336 13498\n1130 13455\n7950 10557\n3502 17422\n1615 7686\n4982 8065\n15509 16090\n12267 16168\n1034 10293\n6284 17170\n737 5448\n4240 5949\n10699 13017\n5939 14677\n4022 16395\n16180 17298\n3233 4524\n7319 11468\n8462 17144\n12656 12817\n10465 12755\n1766 8829\n5133 16966\n5533 14332\n2777 5726\n3939 6758\n15551 16262\n4131 16259\n659 5734\n4758 7397\n5070 11522\n67 15135\n5561 9960\n4571 5367\n14365 16147\n1657 16702\n3857 15683\n10954 16130\n8036 10278\n6344 6982\n9268 12697\n2303 10492\n353 9341\n1441 17135\n18 12850\n7359 17009\n9920 14440\n294 4032\n13577 13743\n7053 15432\n6808 7611\n14229 14586\n1439 11874\n2269 14895\n412 3639\n177 11847\n9036 9615\n759 2025\n895 8258\n1113 8373\n1145 9366\n97 16045\n13158 15364\n1545 16905\n14598 17103\n1982 2465\n9215 10751\n5170 16492\n6048 15379\n10221 10506\n167 10012\n11712 12800\n76 10059\n1518 8556\n3874 13984\n973 12425\n2003 13186\n4002 17283\n831 17337\n4336 16951\n5358 10478\n2045 3063\n8658 13280\n624 6092\n5371 15427\n4326 6026\n9644 12569\n3895 4472\n1442 13615\n1945 5262\n4189 14961\n11437 13765\n9821 12837\n8501 13762\n11217 14662\n2457 8423\n3437 15267\n5185 10527\n893 1655\n6519 16286\n1054 5529\n11066 11264\n12045 16872\n629 13143\n469 5702\n4962 15451\n7194 16241\n2170 12750\n3880 15004\n1598 10999\n2357 16733\n2035 10555\n6862 15095\n8405 10202\n9038 16657\n7470 10255\n15293 15497\n13007 13336\n3328 8856\n6575 8982\n6157 7393\n5241 8611\n12516 12744\n372 6096\n912 9136\n6531 8330\n4189 17112\n2031 13144\n6006 11289\n1077 13878\n5832 13791\n10796 13438\n6000 11279\n4679 6303\n8855 16246\n3669 14699\n6171 16611\n16313 16989\n16203 16732\n8448 16076\n1745 10724\n2333 8499\n2212 12348\n3580 14654\n6981 11717\n289 2945\n1669 3903\n9969 10625\n489 3441\n3309 14151\n5025 7462\n544 2437\n13226 15488\n1932 11217\n13754 15881\n5007 16233\n1443 1730\n2929 7721\n6037 7611\n10504 13377\n1179 7856\n8256 11070\n8290 15352\n4319 8671\n5168 7239\n3183 12232\n6710 16792\n5113 14814\n4839 16289\n3013 16451\n2773 6441\n4336 7014\n3795 17428\n5634 7786\n3346 10253\n6969 7246\n2277 2584\n3145 11719\n159 17312\n5602 16614\n103 11517\n13751 13777\n7893 11909\n3966 9858\n4008 11316\n6839 15241\n719 8728\n11986 17312\n3680 5105\n12589 16354\n1603 9962\n2484 15961\n3958 8431\n14164 17409\n3101 12841\n7324 14511\n10950 12862\n6647 17428\n12630 16230\n7303 15077\n6628 7530\n11546 13880\n6364 10417\n3708 9581\n4051 14928\n166 657\n4141 14164\n1796 15352\n267 14934\n12472 16619\n3529 5613\n4009 10377\n70 9236\n2033 10675\n11788 15540\n218 9554\n2812 11643\n3267 11251\n4826 10400\n8980 17415\n8792 14577\n3481 16870\n203 8324\n12154 15489\n5937 14898\n4322 13079\n11489 14037\n525 16526\n993 1803\n2707 15715\n3189 13183\n406 11011\n4364 6599\n7484 15300\n4890 14151\n13926 17064\n2375 11573\n5241 14637\n2578 16255\n13532 14850\n6822 14832\n8758 11837\n9252 12329\n3616 7405\n6910 14824\n43 14704\n13015 14986\n332 11374\n12421 14718\n3366 10606\n14439 16984\n532 11364\n14546 16214\n3698 8037\n9211 9380\n4557 7391\n3895 15991\n14538 16210\n10438 11365\n7736 14932\n4072 11844\n2720 8485\n4576 8677\n4381 14722\n6395 16745\n5182 7925\n13867 14653\n7858 8982\n327 10872\n5780 9043\n1786 9449\n11959 13278\n8585 9561\n1154 12091\n466 13956\n5302 15188\n1228 2612\n13736 13955\n12025 17269\n3732 16173\n822 5758\n135 11780\n5084 13200\n12969 14808\n8335 13240\n6284 9140\n3323 10564\n4541 6388\n2303 16557\n7568 13817\n5648 6505\n12667 13458\n2649 7086\n3138 15717\n5239 13295\n1714 3842\n1680 2499\n6940 15580\n12507 16044\n10507 16094\n5521 8070\n6227 16626\n3129 6916\n6365 10191\n497 5656\n9441 11049\n1292 10003\n9541 15078\n12471 15571\n16542 17001\n9801 15302\n4018 7281\n13149 15595\n10813 14580\n1121 2494\n6025 9894\n2345 6982\n451 13379\n2083 13255\n6591 9258\n5896 5921\n8007 15737\n7290 12801\n13393 14830\n15290 15405\n3794 6474\n11851 14143\n12403 15809\n4623 8087\n7118 12908\n3229 4445\n8511 13106\n7578 10211\n3100 5620\n4437 6979\n11129 12048\n251 1162\n8653 15687\n4441 9249\n2214 17427\n3300 16684\n12224 15675\n11603 16413\n2866 16018\n6215 7630\n9376 17005\n12058 12565\n7440 14147\n15330 17202\n2736 15243\n1009 12778\n8471 9640\n4084 14581\n14156 15944\n13857 14753\n297 842\n14403 17299\n6257 6754\n4292 6372\n8212 9097\n2322 8844\n9899 11655\n3124 13108\n13422 14222\n2398 7194\n1201 14008\n6935 12063\n2517 10524\n12716 13762\n442 16591\n90 10725\n9401 16071\n6505 13779\n10000 17415\n3552 15749\n1051 12047\n430 1666\n922 6040\n13577 15182\n268 3507\n2665 12614\n2592 16043\n419 725\n8975 14314\n15597 15837\n1226 5374\n4454 5507\n12512 12927\n3044 8212\n2981 15938\n875 4020\n6677 9995\n2179 2633\n130 3892\n8676 12005\n5883 15673\n92 11505\n974 17153\n14901 15958\n1628 8532\n390 16522\n4095 17237\n4849 14162\n12020 14330\n10695 15478\n12082 17330\n14028 14502\n732 10194\n3485 3871\n364 11782\n11163 12154\n11120 17373\n1427 7615\n5442 13573\n8850 12720\n1405 7289\n1062 6341\n6880 12531\n2379 4561\n1447 2312\n3448 7403\n2165 12900\n8840 14561\n404 3128\n1509 8647\n3929 17167\n9390 16841\n8100 16061\n14428 14921\n2835 11869\n3071 17112\n2433 16831\n6235 13789\n2390 15087\n10641 16571\n1397 5353\n4822 9534\n9701 11290\n9059 16455\n2831 9028\n1540 10399\n13394 14561\n479 11133\n2733 13636\n3410 15782\n11071 15461\n2680 11096\n11531 12042\n3737 8213\n2095 6871\n10353 14348\n147 15665\n4126 6874\n2193 9298\n787 5758\n4948 14283\n1492 6963\n2834 11499\n6373 6916\n7114 13213\n5477 11613\n5745 8518\n7998 16895\n2579 9321\n3792 5984\n4066 13947\n4412 6439\n15615 17327\n3129 6864\n14767 17014\n4194 15384\n6262 8057\n6387 12552\n15069 15336\n2027 6652\n2490 14808\n8602 13337\n1404 10214\n13362 15612\n1324 6129\n3674 3754\n705 16793\n13420 13940\n2405 13963\n17077 17349\n6536 11445\n2420 13061\n9802 10102\n1866 10055\n8534 14872\n9960 15592\n10383 14620\n114 13659\n8622 9618\n9345 11918\n2141 2949\n10819 12523\n9134 17275\n10575 17225\n2621 10703\n669 12046\n6183 11741\n2197 7442\n10931 15539\n1592 3552\n5029 7357\n12591 13405\n11725 15737\n2123 12987\n953 7503\n1818 4571\n5666 13066\n9949 12677\n5671 7654\n2706 4398\n1528 6369\n1098 15098\n10922 16010\n4368 7151\n4555 12306\n1805 9060\n13706 13713\n4484 10692\n13332 14591\n7567 12645\n7256 13263\n7430 9760\n3472 3476\n6587 7092\n7346 7374\n12617 15233\n11346 15745\n2306 2418\n10913 14656\n1769 4277\n1895 9598\n2531 4009\n13678 14491\n11389 16433\n6347 16161\n9052 14970\n1250 3828\n8189 10051\n6074 14216\n5839 11293\n13302 16735\n125 9138\n8726 14837\n11931 13033\n6205 9654\n7362 12605\n8918 14304\n1020 3005\n754 9934\n1465 11976\n5197 15739\n5310 7784\n14985 16834\n6044 6176\n5557 7902\n14674 15779\n12555 13845\n8679 12729\n4149 16285\n5548 8193\n373 5690\n1097 4516\n5169 11806\n8070 11337\n9365 12684\n3914 6287\n151 3299\n226 3320\n3813 8009\n2952 4348\n249 3783\n3989 15600\n7022 9919\n3245 13062\n3924 4675\n5596 10411\n4127 10522\n2090 13145\n1733 5935\n14013 15708\n10512 15434\n991 9205\n1444 17005\n5021 9179\n2854 4781\n4055 11687\n4952 10644\n90 148\n188 7050\n4818 14391\n4749 8919\n280 11118\n5089 13622\n250 5777\n4962 8324\n1861 2792\n929 5487\n2817 11825\n3387 4309\n274 12497\n4578 5241\n3901 6881\n4993 8198\n8560 13089\n2793 10008\n4611 8435\n1473 12429\n3833 6554\n4053 9170\n14501 15892\n4729 12535\n357 13716\n5749 10506\n898 13797\n4805 12254\n3458 10647\n4563 10650\n510 9029\n8972 10803\n8785 12969\n564 7474\n13892 17317\n2884 16592\n1557 11179\n5121 5340\n13366 15383\n16455 17439\n1935 8919\n9552 12258\n5895 6405\n8141 9452\n3988 13224\n7264 11088\n2220 10081\n9766 12284\n8581 12496\n5616 8458\n3186 15941\n7048 15781\n8432 9180\n8632 9144\n8092 13935\n13162 15819\n926 8306\n13304 14269\n6202 6784\n14010 16913\n2279 4781\n7772 13729\n5172 16480\n5662 9673\n1794 15042\n1024 10647\n2942 7922\n5369 8921\n314 8492\n3541 9501\n14187 15934\n7768 9021\n5168 11380\n889 6100\n13978 15027\n2250 8430\n272 4084\n6038 10646\n4600 9592\n2733 16363\n9660 15700\n5963 10132\n13748 16960\n6892 11736\n4298 11941\n6094 17371\n3125 16225\n323 3421\n1491 5899\n539 16385\n1178 16023\n6560 15240\n1540 10918\n11665 14674\n75 8818\n7281 11106\n546 16568\n8468 12875\n4466 11335\n3366 6838\n1292 6323\n2213 12770\n11708 15195\n5698 14349\n9848 14761\n8805 14814\n8552 15686\n3929 6387\n3049 5265\n9198 14997\n4959 8923\n3794 10522\n598 7607\n9945 10878\n718 3251\n3273 10365\n389 17287\n7848 16380\n4792 6531\n14657 16709\n893 14506\n9467 15407\n7760 8644\n6752 8337\n6445 10666\n13168 14659\n4231 14326\n11916 15785\n8649 10037\n3428 16814\n9215 14129\n1922 10002\n15463 16659\n1451 7986\n10844 16310\n3940 10223\n8198 9994\n2876 7216\n10881 14483\n2126 10039\n1393 2050\n9854 13241\n11636 17435\n10926 16938\n2941 14712\n9631 9707\n4976 7058\n7632 12517\n14041 17258\n15682 16272\n8170 8886\n125 14829\n8312 15616\n10989 11905\n4354 8826\n7722 17377\n4110 13025\n13860 15669\n1167 11618\n12531 13557\n15214 17462\n4825 16311\n9599 17079\n1571 14081\n219 6720\n5998 12918\n3187 9034\n117 7305\n5607 16958\n14448 15093\n2794 17461\n12002 16742\n1736 17390\n13615 15812\n1371 13078\n1566 4016\n605 1102\n5439 11701\n332 8647\n11287 12958\n4495 5424\n2634 6928\n13693 16490\n4762 8673\n6366 11260\n404 2714\n839 14027\n10360 14579\n8702 9068\n7190 16429\n785 8968\n1567 2213\n396 1660\n1760 14419\n13891 16290\n400 12025\n1563 10310\n8656 16831\n7044 17416\n6906 16386\n5900 12049\n6557 13850\n9502 16019\n5122 14735\n8023 17114\n4313 16037\n1783 16377\n232 12254\n2112 12038\n5179 13525\n2807 11540\n2021 3215\n10979 15866\n6528 15683\n11045 13944\n715 12909\n14170 14747\n13135 13316\n417 5222\n9518 14005\n14290 16338\n13902 14211\n704 5806\n2292 7308\n1203 16413\n8580 11500\n772 11267\n559 12866\n4676 14008\n4335 16957\n11970 12151\n8328 17099\n281 4655\n7937 12186\n5914 16330\n8627 10916\n3311 16908\n15884 16875\n6433 13299\n3643 16103\n2198 10874\n6438 14056\n11045 16740\n13858 15323\n4733 14681\n5685 12812\n6309 7057\n10312 10381\n2453 11876\n1833 10520\n3246 12963\n3123 5305\n8243 16989\n14663 17029\n764 16246\n15006 15247\n9354 10191\n7427 11123\n4099 10596\n6675 16736\n5850 10826\n15971 16720\n339 12506\n10177 17371\n213 5494\n3106 11831\n2314 5197\n8221 14895\n11719 14884\n6235 6407\n5207 14560\n1740 15544\n3532 11629\n469 11053\n1429 5208\n15874 16093\n13680 15546\n11362 17357\n5565 10246\n1817 7292\n2752 12112\n10705 15345\n2767 10370\n6660 17099\n4078 4149\n2574 8189\n13651 14769\n531 1020\n3149 12737\n9927 11429\n7085 9544\n5631 8570\n2130 11564\n5186 8710\n1148 8511\n344 2571\n1016 3365\n6129 15451\n4018 6068\n5266 8527\n1377 10649\n6880 11413\n2858 12325\n4523 10774\n3242 7941\n160 7799\n9705 14289\n14530 17244\n11818 12926\n5523 9700\n13085 13287\n4670 6307\n9603 16684\n15893 17068\n2363 11077\n13219 13824\n8960 15716\n7205 15775\n1087 8024\n6982 11237\n157 10033\n324 15039\n6973 13857\n7501 16870\n6586 13027\n3557 7096\n7507 14081\n3392 9699\n3788 10618\n966 10112\n12930 14881\n7523 16754\n5238 13737\n13439 13969\n263 8709\n4391 14850\n10773 17378\n12762 14749\n7031 10863\n4740 17394\n11656 14672\n541 8819\n12101 12943\n7759 11421\n7448 14537\n14388 17254\n2396 8390\n1042 16289\n6674 17233\n2735 12100\n5195 9922\n5993 6865\n4911 7730\n7203 13820\n3008 17388\n5868 14076\n9382 16418\n1999 4308\n4223 6821\n1897 7295\n13790 14796\n9991 14591\n8855 12867\n2705 3296\n3857 4059\n12164 16339\n11217 15639\n10222 15021\n10172 17020\n5881 11485\n6955 12909\n10613 11722\n5419 14316\n2977 3452\n11998 17335\n11272 14100\n5368 11485\n1612 10619\n5734 15736\n4887 7426\n7623 10207\n8176 14330\n7492 7956\n481 6989\n5965 12490\n2498 8312\n2717 10821\n5222 9276\n9860 10998\n26 3785\n15005 15855\n1986 4943\n7447 15204\n8668 9004\n508 936\n1044 16131\n2750 12740\n4397 5257\n8077 13469\n6263 10981\n10289 15844\n8104 13801\n401 6458\n5028 16580\n13309 16445\n4434 11176\n1656 9748\n6306 13435\n13405 16620\n1598 9646\n91 12336\n8156 10282\n11530 12415\n3072 13455\n1981 12850\n12473 14923\n4002 8526\n297 1727\n1339 2404\n859 9779\n4107 16641\n5799 12709\n9292 15659\n545 9128\n8842 11792\n4649 15571\n8327 12277\n6574 16642\n1773 6824\n8769 9047\n7061 16772\n3859 16402\n739 10436\n368 17374\n3250 9727\n1146 14423\n1548 14322\n2051 14262\n7534 15840\n128 15817\n9991 13533\n7669 9145\n5087 14347\n12216 15177\n2073 11819\n431 12090\n266 2780\n2383 8134\n8890 9400\n5990 12048\n388 550\n4428 7760\n7493 11818\n1908 16601\n9642 11967\n8436 16118\n1598 10035\n8148 10265\n9259 12500\n13601 14334\n2096 10176\n9310 9990\n4282 7685\n11108 13679\n8267 9170\n930 3460\n5283 16315\n5646 7222\n14967 16820\n3267 14374\n12164 17004\n11257 13621\n133 9590\n1032 13556\n1498 5670\n7752 9039\n8065 15626\n6941 11402\n1919 11488\n929 14247\n5673 11008\n13661 16785\n2964 7997\n4693 11981\n13105 15741\n6958 10449\n10006 16957\n14120 17286\n7795 16025\n4020 10919\n3865 12205\n8085 13199\n7288 8868\n4318 10710\n5630 14071\n7894 11083\n4010 4339\n106 13251\n5001 17192\n981 9031\n4947 9689\n10054 13943\n1174 12369\n1355 12369\n4300 7923\n5570 13169\n7318 15764\n5255 10359\n6341 9644\n6480 12933\n6874 12959\n2205 7488\n8074 12312\n2027 3097\n4674 6714\n2660 11567\n5384 14016\n3748 16363\n2009 14731\n1830 10212\n9028 17018\n10574 14366\n1614 13048\n4700 15929\n12378 14060\n2570 12558\n3392 8290\n1324 10039\n12722 14465\n9889 17117\n8725 10732\n7695 11990\n1530 4737\n352 14585\n10173 16070\n1764 17036\n627 4451\n2362 7836\n1674 11083\n5581 8232\n17326 17350\n14073 17376\n3677 7899\n2278 2636\n7194 10941\n7906 8516\n2667 5106\n5137 14667\n6962 13768\n3483 15898\n11312 16784\n4417 5512\n6174 9302\n13791 16332\n7551 16643\n9601 15199\n7576 11549\n8383 13897\n13631 15278\n3168 5581\n7488 14613\n13563 13778\n11137 13402\n8507 10455\n15126 17317\n2476 7446\n7358 16006\n7403 11365\n1838 14264\n2155 15355\n994 12987\n4936 5622\n740 9295\n3486 14470\n10524 17084\n5162 6920\n1533 13164\n9850 14960\n12219 12255\n6413 10829\n479 4286\n1885 5468\n15124 16002\n2512 9272\n1380 14498\n14372 17216\n6339 13114\n6714 7068\n6242 12205\n4302 17140\n740 4564\n11006 11218\n2632 3575\n7044 11602\n2357 2664\n12732 14518\n1401 11476\n548 1459\n11364 13176\n5579 16015\n7478 11033\n11047 13460\n7059 13185\n672 16995\n1785 11236\n5712 11160\n8630 16107\n9009 9735\n12902 17016\n9045 12995\n965 10853\n3646 6602\n13876 16808\n7177 10043\n4436 13762\n379 9230\n10731 13749\n6887 9464\n2036 14590\n3905 7642\n8319 14703\n1521 16364\n14008 14797\n6766 10947\n2028 8633\n5347 7018\n793 5862\n1398 15577\n865 9535\n793 16442\n3840 11128\n4077 9040\n7979 12217\n11089 15286\n2232 3322\n4025 8574\n4998 13161\n1058 17378\n7394 16736\n3678 12643\n4187 6203\n711 6682\n438 4096\n5932 12879\n1851 15316\n3760 11303\n7616 10555\n13400 16713\n1854 4829\n6200 8807\n7372 9485\n1247 10071\n6588 14499\n13159 17217\n1134 17270\n5155 8579\n2152 9446\n2561 7187\n1315 7156\n3827 7359\n8299 15667\n1745 11448\n2658 13535\n1193 10117\n1138 15216\n5057 7673\n677 8116\n4213 13866\n7828 9507\n11099 11771\n2935 17170\n2076 7083\n633 16314\n5293 6917\n7328 7559\n3348 3766\n4346 10924\n12581 15288\n11964 12169\n4531 15839\n10026 16203\n248 1513\n11761 13870\n1306 9160\n16803 16842\n2968 6666\n3181 10623\n13480 13646\n4002 14809\n8540 12854\n6214 8566\n484 17353\n11627 15089\n7319 16735\n2222 6767\n548 8800\n10476 13041\n3970 8924\n4691 14267\n507 11084\n11377 12503\n458 10488\n7791 11616\n3632 10472\n4632 13762\n3444 14006\n9717 9846\n3482 4770\n6702 12535\n1846 6899\n4213 7481\n9235 13881\n10079 11900\n4661 15582\n15561 16381\n900 5571\n2475 16364\n6334 11877\n11050 14013\n2464 11638\n5524 10056\n5811 7015\n12606 15013\n10714 14095\n8276 14508\n2831 14054\n679 17054\n5761 12638\n5373 6356\n7070 14503\n292 4598\n1266 13903\n1966 14392\n6831 17147\n16115 17329\n9649 16579\n8182 15931\n1646 6625\n7233 9467\n6051 11802\n1315 16026\n6401 7638\n281 2637\n984 4372\n2574 2851\n5119 5379\n452 12337\n8750 16278\n5761 6261\n10196 14475\n371 4749\n13946 16730\n4400 6817\n1501 11729\n14927 15698\n6029 9243\n5624 17355\n1385 6439\n4946 6203\n212 16185\n2905 11802\n5301 9634\n4326 11141\n6945 8318\n9409 12396\n9890 12805\n3395 16297\n11305 14768\n11336 11672\n4201 15059\n6760 11978\n12380 12664\n6777 14734\n4662 14424\n8291 9123\n770 12774\n8213 10588\n10318 15621\n6426 11755\n12284 12714\n14781 16383\n5909 6082\n10742 14999\n1161 8930\n5761 14379\n2479 7587\n2884 15838\n1782 9846\n7107 11376\n5380 15046\n5622 15649\n9729 17164\n6893 16805\n9900 15149\n5531 11621\n1267 11454\n10736 15207\n5048 15619\n4773 14869\n5234 15485\n10081 12822\n8260 9582\n7335 12745\n375 6063\n16980 16997\n477 16073\n9289 15087\n3856 14138\n2396 12924\n10009 14886\n335 4320\n1502 14930\n16125 16154\n2475 13183\n7183 12123\n3581 16380\n9344 16765\n9450 12324\n1823 3157\n11689 12323\n15084 16922\n8527 13394\n7025 12388\n4152 6904\n7161 14166\n13104 15624\n1121 17287\n1243 3959\n2940 8192\n3195 4227\n4692 10250\n3862 16497\n11062 12515\n2219 11457\n923 3430\n3080 14222\n3770 4172\n8004 17118\n4471 10984\n725 16782\n678 15240\n7401 8076\n11920 15002\n3056 13919\n5552 16123\n9776 13161\n6640 11029\n97 9047\n9172 13983\n9199 16739\n903 6706\n3611 7656\n9954 10566\n12655 13887\n5514 6589\n8678 17424\n2449 7391\n3898 6882\n6376 11590\n2767 9739\n5298 8683\n7999 9049\n10649 10986\n1319 1856\n9215 9424\n1339 13781\n8869 14060\n768 13548\n6948 13160\n9144 14166\n10072 15689\n10323 11985\n14581 16853\n4285 9075\n6237 13352\n7141 14322\n2404 15662\n1296 2670\n1625 1956\n2104 3975\n1837 13792\n3090 3277\n8869 16438\n10090 11849\n3176 3692\n14595 15693\n2360 9562\n1374 5289\n4245 5229\n8360 16628\n930 17168\n7770 11836\n622 17069\n8775 11030\n8378 10834\n8913 12465\n15027 15045\n9323 16873\n4550 12121\n4328 13716\n37 1002\n888 10579\n1756 16005\n5905 15702\n5284 16472\n6970 7677\n397 7038\n10274 13793\n535 8054\n2639 4801\n3332 13630\n1119 9955\n9793 16570\n8213 16137\n3706 8482\n1896 8974\n6814 13570\n3167 7630\n1895 16346\n61 11087\n4411 11551\n6636 15583\n10370 13005\n332 8689\n1829 8580\n2659 5519\n8022 12300\n3044 8115\n3024 3860\n10069 11884\n370 16274\n3262 8596\n3115 13094\n9114 15345\n11134 11280\n4455 11474\n10203 16729\n2755 5916\n8710 15880\n14264 16686\n12464 14249\n15000 16138\n7340 9148\n8127 10296\n8114 10840\n1542 9229\n2456 3245\n3080 7358\n1601 7492\n11458 12049\n3624 5114\n2566 13300\n5040 8035\n3498 9089\n7763 12416\n989 8903\n3979 11710\n692 16978\n5002 14446\n5086 8400\n6400 9716\n336 13327\n1745 12410\n7777 15069\n12404 14855\n10021 16561\n12497 13007\n10130 16908\n5004 9422\n10253 15336\n6785 16694\n1903 3150\n8709 14911\n5829 13802\n3247 3936\n10754 12331\n9172 11907\n4079 9788\n11701 11880\n4815 15079\n4397 6101\n7810 14408\n963 11787\n5798 11188\n6796 17200\n944 9790\n9528 10289\n3812 13726\n6810 10425\n1432 5330\n3933 12391\n10083 15775\n1042 5985\n2298 15607\n13811 16710\n381 16160\n3441 8595\n8247 8409\n5501 8670\n5850 9022\n4648 10321\n13717 14020\n11813 14453\n83 14230\n6182 9933\n1873 10894\n902 7643\n13299 17203\n904 13179\n7400 15054\n5636 8931\n1980 16637\n8746 10010\n8442 11080\n11058 13413\n3375 8231\n5545 6819\n4898 9793\n5663 12820\n2259 12500\n12439 13405\n2308 5258\n3055 17235\n4651 12912\n9795 12180\n3288 15030\n744 14238\n1999 3029\n3062 11391\n442 9033\n2598 12561\n7803 15005\n7618 13408\n1009 9998\n4485 17079\n3592 8641\n9044 12309\n7984 14099\n11494 15053\n1245 3597\n12924 13109\n829 9808\n8932 11029\n7774 13402\n6471 11578\n265 6643\n10373 11286\n6837 11190\n4960 13943\n2073 4469\n13069 15797\n777 6357\n1611 8589\n1833 12156\n4837 9620\n1405 13604\n11345 14569\n2388 12142\n503 15755\n2163 3178\n5611 10051\n6684 7909\n2313 14695\n1077 11521\n49 2440\n1991 5401\n6972 15236\n4552 17188\n6740 10782\n3550 12578\n9842 16566\n2288 8730\n7771 11600\n5261 7913\n6886 13642\n10494 14693\n2712 12022\n9012 13900\n11139 17327\n3949 10302\n8296 11956\n10117 10667\n10023 15759\n4030 11754\n15167 16035\n5572 16121\n1278 13388\n1365 7167\n4003 16263\n9264 11420\n7828 15269\n4535 11969\n11923 16688\n11889 16833\n5028 5167\n582 2444\n9982 13548\n4470 7473\n9631 11622\n5708 15628\n3764 7633\n4328 6934\n10516 14172\n3230 9158\n1429 16174\n2436 9739\n1396 8425\n1263 16531\n5192 17071\n1949 16545\n10409 11692\n1864 14247\n9178 17114\n7294 8331\n6237 12445\n11326 11342\n10772 12584\n2003 11870\n11364 12870\n1564 8360\n1706 6980\n2604 17428\n4155 11524\n2707 16953\n8596 16154\n1250 8996\n1370 6292\n4528 8389\n121 5436\n1454 2296\n9309 12474\n2039 15396\n5756 16660\n2724 2799\n3517 4017\n1948 14196\n8511 12413\n3766 4581\n16233 16278\n761 5592\n5457 6747\n11100 16183\n2185 15051\n5181 7007\n9105 11804\n9970 11070\n14761 14951\n8924 13966\n5369 11331\n273 3601\n4702 10107\n6761 9161\n4011 16616\n8598 11087\n9289 13891\n1975 5278\n1890 7991\n3943 10672\n7541 11392\n13597 14485\n7688 9100\n6697 10384\n10550 17419\n6873 9638\n7962 12159\n1715 2703\n7478 12843\n304 510\n1102 11332\n222 5667\n23 11872\n4510 6118\n12706 12959\n4882 15549\n5831 6371\n507 9611\n11451 14899\n234 16295\n2875 8592\n5784 14813\n2636 9297\n7286 10932\n573 7755\n12765 16069\n724 16688\n11055 15476\n4882 17405\n13725 15799\n6346 13824\n166 3448\n9239 15502\n12234 13141\n5749 10027\n12187 16223\n570 15122\n5757 6978\n4856 12977\n1525 11367\n9976 13288\n4430 4798\n837 9049\n6723 15512\n2971 15572\n11745 13099\n4340 17245\n7513 15842\n1569 12024\n10181 12090\n8260 9167\n2719 5598\n10494 11520\n3943 14366\n218 760\n11875 15933\n111 1163\n11302 11637\n6646 8657\n4309 14828\n15484 17312\n6885 15971\n642 17224\n694 16629\n4996 14083\n2912 8508\n4210 5569\n5299 7891\n251 3579\n15429 16920\n5557 12097\n3829 14660\n947 16624\n3051 11656\n9256 10044\n1396 7302\n11199 16414\n4087 9585\n2976 7467\n4650 11701\n8042 8569\n3975 14455\n1648 6895\n1789 7112\n6243 8602\n1843 8711\n5136 6320\n1655 16968\n950 8363\n14696 15220\n8882 9521\n1694 5322\n3363 15248\n12110 15431\n7878 13496\n12913 14708\n2463 16877\n11018 15831\n8440 14623\n1932 10201\n8536 10918\n2637 11094\n1782 9662\n6848 14541\n11787 17139\n8254 13808\n6236 13695\n16055 16366\n6032 12466\n3469 4407\n1508 17229\n9117 9891\n191 6367\n1265 3797\n13250 14137\n2295 15972\n1381 12517\n3573 17203\n1917 7600\n5731 11390\n6189 6459\n1510 11911\n8279 14345\n5872 7827\n15028 15651\n11283 16409\n3994 4203\n7499 16767\n4994 9293\n9977 11053\n8740 14831\n1152 10268\n4670 11153\n782 10209\n1905 7123\n15432 17160\n7638 8162\n12996 13667\n10170 13881\n526 2654\n3096 3975\n4876 11563\n2106 6352\n3782 9159\n7728 9226\n6184 17368\n6468 11367\n9596 11755\n8066 15688\n16030 17310\n14641 15245\n380 12941\n2136 17135\n11138 16616\n10792 16878\n10075 12162\n13891 15328\n2706 8496\n10124 11032\n2941 7028\n102 579\n1646 11365\n13160 15403\n7316 16934\n4901 5144\n13877 16270\n7832 13470\n4470 14912\n7744 17199\n150 9000\n212 6856\n361 1938\n5913 9372\n13245 14430\n7091 11674\n997 11617\n4519 11026\n1178 11448\n7925 13089\n4946 16549\n6527 7053\n4242 4751\n7705 15620\n1315 8089\n13738 16605\n3888 16900\n13813 14260\n10317 11383\n12958 16032\n1674 14529\n3956 7015\n3499 10659\n8274 9296\n9423 10753\n11415 16648\n15601 17125\n2620 15569\n3151 10626\n12007 14623\n12509 13171\n1902 11851\n10438 16984\n3499 8769\n8516 10631\n3488 8617\n5194 13585\n9585 10641\n1963 5130\n5761 9838\n14832 16767\n2328 5800\n6852 11261\n653 8164\n1586 7419\n16690 16869\n677 12558\n10379 13978\n1223 7217\n351 8966\n2916 8914\n1293 3547\n16572 16959\n5094 6190\n10535 13876\n2187 14451\n13490 13571\n9548 14220\n2182 13191\n1514 9517\n6877 15480\n1854 7739\n4014 8484\n8221 8233\n150 6033\n9265 10670\n750 8890\n13446 16952\n4760 12720\n4054 8158\n623 12620\n6314 14891\n5185 6030\n12141 15097\n13976 16984\n4992 15374\n1381 1984\n5985 11828\n5397 8953\n12418 14436\n1506 3502\n6077 12899\n197 12641\n3476 9558\n9385 10335\n6613 9601\n312 15735\n5537 11279\n3627 14406\n10952 13598\n8400 14806\n7090 12245\n9673 14201\n4524 5356\n999 5566\n1776 11477\n2703 4253\n1044 4381\n4816 8596\n3085 12184\n10776 16007\n2279 15491\n10695 12204\n9735 15724\n6384 15586\n6103 13241\n2142 11575\n5856 8808\n8260 11801\n7391 15928\n1398 3598\n12801 14255\n9228 13323\n5194 15829\n11351 12666\n8936 14735\n3437 11609\n5156 12247\n4014 10459\n10226 16454\n7168 11410\n11965 14939\n10141 13737\n5172 11219\n1545 13324\n4715 16388\n8836 15557\n4698 13032\n8788 13742\n7332 12071\n489 14132\n2882 3120\n2996 16308\n10748 13256\n6295 8016\n2116 6412\n5001 9483\n9643 10778\n5704 15417\n8027 15720\n3107 11943\n3872 12059\n1610 15683\n2509 4269\n2190 7356\n715 14508\n3710 5818\n17181 17452\n16799 17160\n13321 15035\n13137 17323\n8154 8702\n4208 16546\n3119 14228\n2711 15955\n656 1739\n2182 11500\n1184 11579\n1913 7948\n9209 11509\n7367 9200\n5664 17366\n1804 6242\n10818 16496\n4827 12148\n4033 10749\n185 12813\n2322 10173\n6394 12373\n15213 16184\n5803 15952\n3863 9096\n3477 5481\n4591 15599\n12729 16202\n357 12902\n5324 16424\n1628 9081\n5785 8923\n11449 11891\n2363 7393\n3330 4343\n8154 10465\n1140 16305\n9411 15030\n3068 15855\n3853 11636\n4977 16517\n8690 11798\n3351 17031\n13337 17096\n9684 12805\n1041 6555\n11536 11889\n12799 16811\n8966 10634\n11403 14896\n323 6771\n9650 10116\n6782 13693\n3662 17097\n6606 9493\n6433 12821\n13158 14786\n880 5669\n7492 15703\n8892 14293\n684 2484\n11316 15209\n2322 2429\n702 1385\n2744 9590\n3177 14436\n1887 9821\n11428 12780\n7890 12499\n4727 5196\n4577 10185\n1087 8849\n11370 12399\n465 15863\n409 5993\n7523 15920\n6146 12240\n14124 17334\n1970 4359\n35 1943\n1287 3977\n4273 4468\n513 16703\n5949 10747\n641 10883\n10448 15422\n5095 5511\n554 8512\n979 17052\n4579 15955\n13645 14611\n3630 17444\n12561 14435\n3934 8538\n10712 15262\n14745 17002\n8265 14459\n5199 5427\n13603 13661\n2338 9318\n6726 16638\n4989 13813\n3028 8008\n847 2559\n2585 15838\n9256 12592\n326 4501\n5602 6195\n4083 4946\n10571 11480\n8291 10900\n8608 13330\n4156 12739\n8022 11499\n3162 7090\n4469 11281\n66 14354\n8917 9566\n6341 12997\n10073 12490\n2685 6971\n14338 15021\n5467 10019\n11426 13956\n14346 16041\n707 8630\n4298 10511\n14905 15536\n8787 12993\n9078 13584\n3692 12055\n3618 11482\n3550 13472\n8140 16701\n5879 10747\n3607 14659\n10009 17216\n11466 14239\n15021 15973\n8253 11185\n6159 9848\n1057 7286\n14058 14877\n6277 11693\n10476 15004\n10888 16552\n2728 13085\n6329 10554\n8755 10051\n5283 6652\n1924 15015\n7500 9784\n5498 5531\n5920 7826\n8053 13757\n1251 16272\n7792 12521\n254 1156\n9239 15854\n7825 12012\n6860 8282\n1925 14681\n536 9473\n2835 3035\n4178 6660\n5991 13722\n7453 14715\n613 3856\n3080 16968\n4437 10223\n4751 6557\n10543 13514\n3670 12764\n4652 10721\n4687 10947\n7610 10515\n4270 10265\n1023 14758\n12079 12867\n500 9272\n2544 3498\n935 12463\n2523 10742\n11141 11982\n5112 17176\n6353 12900\n6034 8587\n975 12478\n462 13512\n2452 13944\n3665 8439\n9506 10131\n2391 8797\n12250 16126\n3749 11526\n11744 14891\n6561 16954\n1816 8994\n480 1176\n4078 14324\n14060 16501\n979 12390\n3261 9466\n3844 9316\n128 4343\n5688 6858\n7319 7566\n10383 15403\n1362 10634\n1215 13362\n2752 16890\n4978 11255\n9576 15568\n3901 5763\n6794 17028\n1145 16250\n12993 15339\n1281 5750\n669 8958\n11839 15036\n6058 14752\n9589 10381\n1147 3359\n6325 13339\n1123 4609\n8553 16559\n1874 4034\n982 13757\n2994 13589\n12534 13603\n5801 11383\n7094 8305\n8002 8328\n9184 12372\n4672 10229\n783 1850\n1270 1402\n10623 11967\n13638 15418\n12017 15213\n6601 13400\n12550 15174\n8792 12050\n8298 8635\n661 5768\n578 3072\n5744 9883\n4279 7899\n1344 5301\n6257 16184\n38 3049\n5069 6465\n6909 13237\n1604 14832\n9076 16071\n11026 13863\n3171 7372\n7516 13756\n7374 16911\n80 16519\n10289 13223\n10810 17058\n3408 9973\n10213 14458\n8852 10983\n5996 15776\n2323 2774\n6403 9415\n626 15571\n1529 15061\n4263 13226\n3398 8896\n454 9466\n298 10361\n1044 12237\n4650 12092\n9242 11870\n14640 15973\n11822 14291\n9429 17358\n8747 12711\n10203 10357\n2224 12413\n4976 5727\n2429 15374\n3298 13254\n5068 5423\n699 7296\n186 4663\n7368 16980\n2965 11695\n2539 14235\n1346 2315\n410 9523\n3692 10997\n6169 11237\n8059 10027\n857 11021\n6491 7722\n1107 9489\n2312 10198\n1281 17128\n623 13098\n1947 2451\n2621 4808\n9256 13493\n2686 6718\n951 3262\n7739 14597\n6353 6937\n9771 14016\n13628 15245\n9191 12245\n6010 9947\n8387 15025\n7487 11148\n1474 11863\n4256 17460\n9114 12704\n2558 12508\n3814 8805\n12789 15760\n184 8609\n15008 17253\n6653 9125\n9531 12781\n14118 15565\n8483 13449\n8742 14715\n1701 7881\n3382 3466\n2617 8577\n960 4077\n1798 10161\n9542 12682\n5884 13495\n2692 16265\n7687 10007\n2379 11290\n1117 2244\n604 16438\n379 12208\n13246 16306\n954 5764\n4264 9077\n1413 4685\n15715 17045\n11426 14883\n6767 6792\n5452 15308\n4927 10969\n531 5387\n2581 16267\n5056 12407\n1907 14741\n7787 13142\n1730 5215\n2478 12073\n2525 3991\n5518 11709\n1514 1933\n12558 16858\n3652 12272\n1900 5106\n4641 10223\n14977 16007\n428 3562\n114 3784\n7504 11618\n9789 10239\n154 10467\n10778 16695\n9481 15755\n632 10449\n16264 16299\n1500 5391\n1776 5194\n5268 17166\n12097 13154\n4870 10588\n12191 17078\n2747 9563\n9600 12761\n5772 16955\n5721 15869\n479 9258\n7690 16805\n10334 16395\n3700 10150\n3097 16029\n14128 15527\n10554 16718\n6855 11591\n11703 12391\n10172 13845\n8253 13870\n5798 17017\n1220 4772\n16684 16840\n556 17285\n6843 15370\n14484 16460\n1890 16070\n9804 11419\n3907 4855\n321 9542\n2176 6311\n1021 2444\n5641 16180\n5742 10603\n5094 5337\n5712 12271\n5722 9803\n5633 7855\n1782 5719\n6188 6959\n5707 10249\n2671 6385\n8267 10296\n5095 6877\n3938 9783\n2662 11322\n2599 11970\n2583 8572\n2025 8889\n6097 6320\n6466 13815\n4440 12370\n14597 15379\n11127 16772\n6505 7252\n3004 11674\n882 9186\n6038 15795\n571 4280\n3490 8226\n5474 15186\n3238 8109\n10482 15626\n16756 17176\n10975 13590\n6802 13390\n10173 11601\n8640 10016\n6978 10249\n8407 16154\n14618 14901\n2669 11917\n12568 15773\n10425 16053\n9783 14471\n5179 12707\n5814 12845\n2470 12243\n18 8911\n1730 12003\n3168 13802\n7943 12399\n831 13847\n9718 15078\n13073 15324\n5459 14687\n3064 13624\n3775 6848\n2216 6213\n6393 13900\n3697 4218\n6207 9199\n8515 17216\n9138 17175\n7814 8909\n9781 17053\n4768 13314\n3044 15445\n10076 12622\n6923 7295\n10414 11171\n4305 8401\n3484 9031\n12307 13143\n6139 14450\n4905 10426\n3727 7970\n1436 3991\n7566 7875\n5846 8057\n11753 16461\n12587 16857\n5208 17216\n6309 6928\n652 681\n2832 15542\n5044 16482\n8558 12789\n11368 11424\n12657 15334\n2793 7305\n7711 16402\n7012 10689\n5402 6352\n10587 14844\n10178 16706\n3336 5607\n1802 12903\n6278 15116\n14014 16421\n1417 4598\n2345 8940\n5228 14863\n383 11699\n4931 15059\n241 17161\n7742 16349\n10854 15738\n43 9788\n557 3331\n5071 13028\n8067 11752\n641 6527\n4749 16922\n1177 6464\n8058 10066\n9670 14272\n4047 15362\n3349 14954\n4804 12436\n11945 15717\n1701 9606\n5862 11634\n6038 13809\n1223 5408\n228 16121\n5931 7999\n5056 10601\n8314 10674\n4706 10484\n7840 15886\n13010 16340\n374 8501\n5962 10825\n2986 8426\n3452 12693\n1291 17041\n10550 15647\n726 5612\n290 5369\n8855 14716\n5132 11685\n2711 8919\n7260 14065\n8489 8747\n2960 8766\n7799 13198\n12859 13350\n8286 8392\n13911 15734\n11711 16029\n11195 16059\n2002 5549\n2439 8303\n1663 5567\n2899 15016\n4769 10540\n2777 4632\n1166 6168\n8591 11091\n7836 10730\n1015 4882\n1334 16044\n3851 4453\n1468 15254\n7368 12505\n8404 12831\n4525 5075\n10052 13022\n9013 10404\n4682 14848\n12830 16902\n2331 3176\n4606 9419\n11546 15263\n8465 11843\n1565 1970\n324 11791\n1000 11546\n189 16538\n3062 4133\n755 5963\n4110 15640\n2007 7523\n6976 11497\n9347 11684\n407 11199\n6832 7118\n9531 13121\n174 8371\n1129 15849\n3627 8856\n5647 15419\n3916 4588\n5201 17417\n3986 4647\n1954 4595\n6006 8738\n10561 14848\n8406 12854\n3300 14431\n1670 11934\n8244 14443\n10549 16220\n4313 10379\n9609 10241\n4776 8281\n2514 15171\n832 4393\n8788 10892\n1486 16603\n12607 16177\n16949 17278\n6704 7924\n6585 15460\n3447 14167\n6845 11018\n775 16813\n5202 10723\n9332 10715\n1814 5025\n8176 13639\n2946 8263\n142 5503\n3311 12560\n1935 3329\n9054 11945\n8682 10693\n5912 8704\n7267 11824\n5496 6357\n6406 17142\n1439 11546\n378 11582\n1006 2302\n3436 16368\n397 14102\n2041 3067\n7258 12341\n1082 11782\n5827 7650\n5220 5810\n4040 13874\n2914 7451\n8517 9483\n167 13384\n2428 8432\n6677 9708\n3566 9040\n2342 5391\n3982 7316\n4658 5072\n2853 7339\n10317 16693\n10378 15031\n8274 8643\n3048 4231\n11247 16058\n7988 17031\n3981 6528\n8925 15181\n1795 11866\n1574 11145\n611 12497\n14248 16578\n9752 15146\n2602 15240\n4079 11048\n7203 11089\n4473 6814\n5105 15998\n2190 6910\n8205 15768\n2002 8805\n2196 11326\n770 8817\n888 10282\n2742 8402\n3978 15565\n4364 11966\n4777 8215\n421 3586\n6467 12129\n3443 16017\n2707 9801\n7422 14248\n593 8011\n3667 6949\n4676 8887\n4795 14917\n811 6774\n1946 2816\n2485 8233\n6011 10581\n3858 16466\n6244 11845\n8708 11533\n4700 8525\n8155 17394\n7766 8984\n6085 10089\n2612 12728\n4341 4740\n458 16547\n4342 9915\n15708 17038\n1030 15183\n6329 8133\n5905 8186\n4164 10052\n11395 11922\n140 14884\n12639 13805\n267 5026\n2838 5962\n100 13999\n1796 16086\n13471 14037\n14948 15498\n3105 9386\n2517 14196\n8966 10114\n7852 12085\n8940 16461\n3629 6572\n4558 9500\n5133 15723\n12276 12936\n9244 10090\n2497 15525\n5953 9424\n13935 15590\n2786 16857\n13512 15201\n4483 13525\n5094 7355\n6750 10430\n3471 10818\n9373 15352\n2803 12321\n7878 10968\n4592 11146\n8049 8080\n12529 16456\n1342 1889\n8611 15533\n96 5596\n808 10808\n7058 7971\n4266 4840\n111 3081\n5457 12240\n1264 16165\n8207 11183\n4364 17255\n5015 6079\n3871 13959\n1783 12624\n741 10623\n4583 13726\n8829 14778\n7661 10673\n1546 4880\n12502 14251\n3813 7878\n3761 7217\n12408 15699\n7898 17430\n8949 16070\n305 16978\n6127 11228\n8792 11914\n6039 7009\n6330 11592\n5020 16614\n3127 6875\n14042 16641\n12114 14749\n4367 14785\n5595 16075\n8238 10824\n5818 11071\n783 12587\n3569 6579\n2095 4135\n3849 4134\n6139 12952\n1136 6792\n5163 7766\n653 11091\n4307 5191\n1603 4638\n659 12329\n9 6748\n11143 15499\n1049 5390\n348 16202\n3376 10590\n3217 15780\n6738 12192\n13848 14140\n3767 8896\n5228 13720\n5476 17015\n5004 7410\n7959 16448\n1847 7019\n3168 11369\n3055 3456\n6722 14855\n3145 5381\n16033 16183\n7929 9040\n5698 7198\n11716 15876\n4316 8345\n1945 9966\n946 12866\n3256 6122\n7173 9476\n2957 14817\n3607 13390\n8313 11590\n7593 13472\n50 12987\n1852 8191\n10649 12937\n4970 11422\n5845 11214\n14654 16185\n7616 17078\n7786 11325\n4814 17254\n11443 17360\n2921 3848\n484 3655\n3275 5842\n3398 14798\n3807 13706\n15982 16595\n118 15143\n262 14651\n11998 16057\n2692 4510\n3014 7807\n6948 13241\n5175 15227\n11805 15424\n7061 14961\n10008 15589\n11202 16204\n5200 6568\n4593 17051\n412 3210\n5351 10839\n1958 5601\n133 11165\n2781 3164\n12248 14946\n5615 14659\n6898 12583\n8325 9174\n8862 8929\n10056 16237\n16574 17139\n13351 16803\n6305 14370\n4528 7408\n3556 4185\n8391 17447\n2117 2278\n11328 15925\n1778 16530\n1485 9383\n2405 4341\n11068 14437\n7246 13252\n11573 14054\n4491 5024\n5711 16290\n8393 9606\n2966 16168\n3565 15338\n1162 6526\n4806 15717\n6744 14377\n8684 8998\n3016 13922\n11366 12711\n13950 14191\n1674 14621\n849 14536\n1108 7547\n10143 15772\n6998 17180\n11162 16807\n15303 17409\n2623 15951\n4316 16822\n3699 15688\n6470 15223\n515 3453\n4398 16537\n4944 14513\n8904 16033\n7877 12732\n701 10597\n4100 14486\n3559 5368\n2778 5349\n2827 15358\n4945 6808\n4815 14937\n5873 7940\n2168 7505\n2338 4901\n2238 11868\n4276 11945\n6978 16009\n3681 11889\n7125 13532\n17360 17461\n3824 13844\n9087 17452\n5532 12862\n4125 5076\n2153 15512\n1782 9072\n11467 13702\n11243 13285\n1506 13416\n10373 13627\n2467 17219\n1492 9566\n12731 14086\n4236 10092\n12636 17408\n4588 13045\n3318 11359\n1725 2253\n19 1263\n11257 14026\n6303 13908\n6724 12035\n1782 4454\n1318 5084\n5878 6163\n1070 15716\n512 7463\n15791 17053\n7121 15932\n6183 8238\n4397 12982\n1011 7027\n4233 12458\n5458 9957\n10826 17047\n2420 3098\n1372 5811\n4107 16974\n3734 4650\n6335 11799\n7593 17312\n6942 15583\n460 15189\n9500 15348\n1830 7386\n16230 16247\n7575 11339\n2142 10653\n2304 10522\n1197 15373\n3166 7706\n12810 14173\n4638 5423\n227 8766\n5647 10390\n2446 12755\n3242 10099\n3008 9679\n2796 6051\n7088 11020\n3029 6802\n2677 15301\n9536 15725\n5541 17332\n1189 4965\n14363 14812\n8199 10908\n6254 11031\n11960 15092\n1150 8309\n7260 15904\n10185 13279\n2004 6939\n14487 15964\n5396 13248\n13196 15680\n11213 14648\n5366 15379\n4063 16841\n9696 10155\n2975 7498\n9830 15843\n15795 16384\n4837 7998\n4427 9219\n2424 14896\n8921 10201\n16587 17201\n2898 15520\n16226 16785\n2630 15534\n4678 14365\n2213 12146\n11269 14862\n6575 9735\n7549 16957\n1254 2208\n7340 9538\n11219 15147\n8423 11034\n9033 10293\n8429 9766\n9448 12533\n12233 16611\n1377 4853\n2678 15875\n10257 11161\n386 809\n8407 10722\n7241 15091\n14065 15526\n6498 7024\n2989 14929\n11077 12266\n5912 11722\n15219 15261\n5933 9851\n3184 3786\n11273 13739\n4773 14870\n5907 9306\n486 11131\n5993 17200\n12013 14701\n35 16001\n9651 12057\n11316 12502\n8909 16862\n3984 8646\n9280 16211\n10875 14582\n5139 16607\n8371 14903\n2939 3970\n12518 12728\n4829 13845\n9021 14205\n257 4537\n3021 12155\n7685 16085\n1933 6764\n6222 12325\n4982 16658\n4044 16422\n5023 8441\n2425 14248\n787 3501\n4951 11589\n7288 16989\n3793 6265\n4921 6267\n3650 10516\n3607 12914\n2693 7766\n635 7644\n7260 10315\n6510 6677\n8013 8639\n10558 16778\n17 3467\n14771 17349\n3436 13115\n13391 14024\n8135 15687\n4332 8635\n4253 5929\n8113 15311\n11300 13603\n7927 16002\n10131 16000\n2086 5325\n1182 14212\n9893 17177\n7157 10511\n9548 17155\n7271 15854\n14481 14900\n6108 14935\n2125 7881\n1111 13778\n1691 14142\n4075 6416\n6016 8054\n2949 10748\n4452 13791\n1287 9592\n12273 16674\n16168 16872\n3528 13029\n4534 6107\n936 17145\n10553 16589\n7622 16670\n3070 15389\n3138 4191\n2287 8839\n282 12265\n8964 13749\n14300 14537\n732 3719\n4282 5804\n6845 15050\n16596 16889\n12361 13088\n3744 9937\n9091 10572\n1359 6435\n3645 11943\n606 17408\n2273 2799\n66 15106\n4648 11349\n7547 13911\n3054 15706\n5864 13595\n9527 12201\n2146 15404\n2916 16742\n3925 14317\n1116 11122\n5203 12010\n973 9285\n6620 11020\n5016 8482\n8760 15414\n1313 3968\n76 6858\n4986 15888\n12147 12554\n3308 4752\n7270 8039\n3419 5201\n5723 15723\n2939 5640\n9120 11698\n2942 16426\n11492 12870\n896 10466\n5905 13398\n286 11789\n11 2135\n1276 6784\n12615 13445\n8811 13970\n7759 16145\n5252 14714\n6456 11030\n2954 7407\n4232 17007\n1443 13279\n7542 15652\n2855 7983\n2729 4393\n4628 5158\n492 5932\n4640 16515\n6735 8011\n992 15431\n6384 9912\n904 1906\n5484 6860\n2783 12601\n4019 6154\n395 5975\n4260 7820\n6579 15455\n4549 13752\n15023 17400\n1548 5628\n895 5375\n3118 16270\n13369 14492\n2242 4462\n4363 7519\n8605 9497\n8186 16909\n1780 15803\n4318 15433\n3263 16951\n5893 15850\n5423 13112\n8491 10657\n4118 15294\n6882 15564\n4675 9423\n7846 12752\n207 1550\n2279 9643\n4407 16964\n13582 16929\n1818 14121\n2385 9191\n3404 4302\n5396 15365\n13262 16870\n3502 7228\n5631 15920\n7842 12448\n5309 6304\n4466 9142\n886 5205\n5570 5959\n4939 8376\n10947 12698\n5443 7061\n5955 9919\n6350 6521\n7566 9205\n2122 14117\n5260 10672\n1985 14546\n3263 16054\n8411 8504\n10004 14262\n90 9540\n1575 2870\n15055 16068\n1972 5245\n3881 6006\n8653 13897\n1615 2610\n3948 6660\n163 14725\n973 3284\n14676 16129\n7468 12453\n2552 13541\n5346 15896\n7829 17425\n14322 17347\n449 691\n7155 12258\n4650 12604\n4120 16452\n4491 15608\n12709 15495\n6224 6892\n4843 11756\n5042 10351\n8047 8511\n4574 9466\n4121 7953\n1815 13284\n12345 16629\n7196 9075\n8131 16256\n8648 8659\n3208 3996\n279 16806\n3663 12333\n1256 16436\n3007 6361\n2219 10740\n13857 16073\n6582 11786\n6258 10791\n3068 15066\n12767 17148\n3140 9543\n1351 10313\n5178 10968\n2014 8351\n4428 4898\n450 6729\n3559 5649\n1943 15754\n1366 11231\n11271 11478\n311 9767\n1109 8592\n2853 15547\n1897 9342\n287 5593\n3855 14304\n5170 8409\n2485 8324\n9417 11720\n2397 3686\n7613 12968\n13730 16363\n6101 11876\n4614 13474\n12587 15888\n71 13010\n14530 17042\n7856 13670\n7474 15887\n3610 4340\n2778 12609\n7724 15492\n4220 8086\n13077 15531\n5257 7590\n14490 17037\n5762 8853\n8420 10130\n4393 6928\n4570 13112\n843 12760\n9247 12425\n4722 6934\n6307 15891\n7834 9210\n11527 12461\n11780 15192\n7114 9341\n11394 13799\n2370 8104\n2980 15814\n5237 16626\n14236 14635\n2323 9113\n9483 11180\n1145 15377\n3386 12026\n916 4744\n4746 12156\n3151 13716\n5899 15011\n9304 12303\n5557 6093\n16040 16991\n1515 10296\n2617 8485\n15626 17195\n9114 14287\n2315 8189\n2464 5350\n84 5836\n1596 6978\n11558 15800\n10896 16643\n8333 14277\n1974 15788\n4710 8658\n1689 11703\n13753 14394\n9113 10970\n8173 11326\n13271 13450\n11005 14076\n4941 16803\n6352 11023\n5016 8227\n8956 11934\n3299 7156\n7409 17102\n2599 12432\n10789 15715\n8376 11537\n12943 15789\n3572 14764\n2138 13186\n5605 11490\n5543 10782\n7965 16858\n1061 14111\n11514 13924\n15827 16132\n3624 5486\n6533 16865\n10536 16532\n5197 8237\n2044 15381\n6662 13062\n2534 10700\n1332 10372\n902 12522\n12716 16996\n3738 8162\n1496 5144\n4036 14077\n11695 16515\n1315 13304\n10533 15047\n1207 2618\n2369 15970\n10129 11919\n1853 12086\n5039 15476\n6797 17186\n2296 7554\n9463 15558\n4059 12449\n3594 14031\n3904 15941\n5160 7268\n10799 17102\n262 8799\n2670 3576\n4316 11033\n1008 5848\n891 5081\n6972 8189\n749 1996\n2717 4536\n4112 15720\n9890 16826\n7565 11901\n4340 6365\n9993 14642\n957 10730\n8956 16398\n13388 16988\n1501 12054\n6381 9222\n4742 15061\n5971 16284\n11364 16214\n3099 9726\n15168 15489\n1365 10316\n1280 2308\n9376 15149\n10737 14175\n12102 16385\n1190 14258\n4311 10082\n4210 11050\n7531 14577\n407 17383\n1779 4754\n8299 10590\n178 7472\n2521 13861\n4689 12484\n12016 13403\n11232 13639\n14281 14616\n1953 12853\n12420 14871\n10536 16271\n4197 10404\n3032 11278\n950 16750\n4004 14216\n2432 3464\n398 15509\n919 14632\n5373 17033\n820 3151\n7046 16541\n3446 15256\n6562 17272\n447 9498\n11713 12691\n3716 14621\n13216 13437\n6282 14330\n3906 7996\n2816 8969\n9633 15027\n12244 13443\n1435 8975\n7057 13231\n3354 12118\n6963 16943\n3080 9477\n3669 7813\n2096 16918\n16657 17120\n8560 15194\n7577 15703\n14790 16639\n502 17112\n5625 11928\n12257 12855\n4112 4202\n10306 15645\n1234 2099\n3305 16803\n7110 7431\n3402 7246\n9557 12599\n8032 16304\n5677 7290\n5492 7222\n7907 11434\n11901 13284\n12617 17370\n3498 8514\n4478 15674\n3059 6940\n750 4289\n3997 11479\n14512 16290\n5145 11218\n10053 10535\n13023 16439\n13048 16847\n8764 16940\n583 13532\n3683 15363\n14947 17177\n12244 15689\n3444 4488\n4792 9638\n4444 7009\n4090 17384\n6113 6128\n4030 6017\n908 9507\n948 4929\n4075 10024\n6884 16217\n6036 16894\n4513 12020\n11407 17016\n2065 8001\n9279 9325\n2154 15546\n808 4093\n14660 14950\n12041 14445\n2443 16983\n5192 17329\n5599 7060\n9378 16632\n12178 17295\n2188 3493\n4525 7426\n3520 3967\n2079 7859\n8022 8725\n3041 15554\n10300 14225\n8900 11764\n2901 11345\n1149 8881\n9826 13766\n2914 10892\n5817 9885\n6204 11549\n6076 7668\n2366 3432\n3126 15555\n4621 11511\n6610 7531\n4302 6929\n5635 17268\n5492 17447\n8866 15000\n7409 12601\n14872 15797\n1688 3751\n7440 15112\n15135 16759\n1159 3331\n1320 3801\n6095 11655\n10994 12032\n9076 10480\n13435 13731\n762 13616\n10380 15160\n1324 5084\n3174 3560\n262 8740\n2592 14944\n7768 9329\n295 10503\n8525 12272\n11380 14330\n1263 5339\n2442 15694\n5501 7595\n6201 17188\n850 2647\n15428 16032\n958 4602\n10887 12051\n845 3908\n10269 14390\n1989 12553\n6652 12966\n2775 5575\n13842 14869\n451 16409\n2563 9412\n6808 9384\n9862 13891\n4794 11676\n369 7869\n1631 5932\n2338 4278\n8685 14753\n8134 13538\n202 13651\n4607 6582\n5136 16895\n2391 6000\n1211 12682\n885 16531\n2242 12744\n7099 14260\n6666 11627\n7896 12197\n3111 4444\n4523 4715\n4631 7153\n13782 15332\n3252 11260\n840 11976\n1790 13169\n4460 13323\n11989 12995\n9990 11346\n3937 12386\n14124 16561\n13701 14222\n2378 11580\n10357 10516\n6697 13737\n3600 4314\n530 12545\n5962 7456\n1608 6191\n6674 16304\n5988 13805\n9118 15732\n15261 17134\n8911 12769\n3936 17100\n4374 4475\n3160 5925\n1578 4669\n2309 11411\n4586 12908\n5060 11018\n6522 16561\n5636 16896\n3513 9611\n7334 12427\n11533 16757\n5545 11002\n3752 16056\n4386 7600\n4075 11087\n5378 7724\n7224 12319\n4640 11709\n11151 13568\n7839 9815\n1460 5221\n7191 9503\n7968 12962\n8554 9895\n6184 12266\n4125 6320\n8731 16875\n777 7334\n8589 11475\n3428 9000\n3517 9876\n10155 10197\n5762 5873\n1523 4858\n909 5699\n6755 8117\n6668 14596\n7046 16144\n965 16344\n3010 8538\n6454 8262\n6840 11754\n4592 10827\n13347 16596\n2134 2888\n3459 9570\n4039 9362\n2972 9582\n4337 9512\n7051 8135\n5930 16217\n10108 12423\n7478 15532\n663 4008\n12123 16721\n11550 11567\n6250 10750\n10904 13768\n5760 8505\n10178 15978\n5472 16395\n3623 5621\n162 3519\n3666 13177\n37 10622\n4668 11959\n3902 5300\n13422 15514\n10513 11943\n1964 2331\n7583 7640\n4505 14071\n8863 15315\n1786 9605\n3657 14011\n1341 11437\n7655 9248\n2752 8140\n258 8016\n929 15282\n4426 12555\n7548 15378\n7403 10202\n1356 1656\n5713 14677\n6369 16666\n8883 11417\n6860 11064\n7816 8445\n1884 4479\n12562 15441\n6385 10146\n1808 15733\n3660 6284\n3471 14566\n383 4819\n1985 11543\n13530 14483\n1152 5076\n3640 17050\n11538 15018\n11972 12781\n6088 6195\n8004 13222\n8161 8330\n1299 7776\n13615 16501\n387 11058\n915 12030\n6458 16334\n784 12450\n11826 14172\n3804 8585\n2619 17107\n1222 8719\n10527 16549\n12111 16408\n5755 13815\n3513 3915\n12383 16274\n3237 8815\n3705 7056\n2460 3258\n8784 16996\n3837 8615\n2756 16335\n14736 15436\n16317 16792\n162 13268\n5271 16819\n2204 5550\n6945 15254\n1496 2092\n3320 4701\n13489 16981\n2851 13897\n2053 9559\n3040 14501\n6267 14144\n7680 11732\n1359 14427\n3319 4755\n13456 15140\n6531 6554\n6942 16025\n85 12670\n4400 15335\n5610 10022\n5625 16069\n6369 9386\n1978 6780\n9659 10609\n4225 14502\n351 9992\n9601 11257\n1019 7407\n613 1366\n4517 16800\n2016 12904\n2483 8461\n2305 14465\n9709 11225\n4489 14848\n7583 10670\n1789 6834\n10796 12712\n9060 15491\n14414 14983\n3889 10397\n2336 11374\n8587 11814\n13319 17162\n1109 15733\n3011 3456\n10634 15715\n231 3874\n3958 16058\n1828 6894\n383 5760\n2810 6615\n3888 12778\n6773 9883\n965 12179\n3702 5832\n15172 16073\n5535 9302\n1622 16010\n5885 12928\n8099 10395\n3206 4669\n10413 11586\n1490 11253\n4487 14717\n636 2535\n6438 6640\n6120 13254\n258 10512\n9729 16128\n9248 10735\n12980 17392\n14128 17157\n5254 15160\n5378 17176\n3023 3465\n3795 9062\n1656 10766\n929 10864\n225 6837\n2096 14221\n8446 17458\n7736 10327\n7881 12043\n6302 7372\n1154 11518\n1821 3725\n12531 15915\n7181 10656\n13216 13675\n218 15936\n735 11284\n3640 17344\n1020 9766\n2346 4074\n1374 12661\n649 5979\n7905 15835\n6707 7080\n2757 11234\n16980 17030\n7765 13975\n10159 16802\n7072 10709\n11986 12069\n141 12663\n1306 13453\n5053 5893\n2298 11120\n8280 15633\n4499 10687\n6845 16693\n109 9518\n340 6419\n9286 9453\n3310 10243\n3157 15952\n6809 10828\n8510 12817\n641 13925\n15650 16179\n9700 11160\n5701 14625\n6637 8342\n1278 14616\n6956 8994\n10390 11514\n10963 16515\n2087 3759\n5132 7306\n5557 16733\n5119 6421\n13604 16499\n4752 5333\n10160 16875\n3466 7666\n3637 10318\n4694 7426\n43 4912\n395 17228\n5139 15103\n525 3454\n1401 8955\n4480 10646\n12342 12918\n3587 16708\n534 13129\n2897 14119\n6007 13115\n1733 15376\n2307 12909\n8302 17376\n3225 16346\n4300 14405\n5486 7464\n2821 6197\n10036 10606\n5834 13235\n5158 9861\n13566 14352\n2588 5109\n133 5567\n5822 9949\n5005 16702\n2194 6807\n501 4956\n3825 4595\n11125 13522\n4800 15524\n13996 14899\n10438 15727\n10559 12921\n2762 5332\n2807 6008\n10162 16499\n3270 10892\n7922 9387\n1401 3385\n5281 12772\n1538 11840\n8625 13978\n7516 16208\n2444 14087\n4287 7512\n4506 11512\n12786 15799\n4215 5737\n6423 7730\n679 1354\n8375 17094\n2541 15615\n647 5038\n3076 7600\n16639 17347\n839 15796\n4029 6291\n5613 13811\n1645 2465\n4601 10376\n10154 11915\n8079 14597\n11428 15541\n10901 13184\n1495 10140\n11777 12572\n4015 14403\n10092 12722\n1753 17419\n1519 10331\n9891 11404\n14415 15904\n2743 13895\n13047 17022\n11078 13335\n2317 14960\n6883 17452\n5210 9962\n2395 8286\n9098 10867\n1718 2270\n2800 13321\n5818 7804\n7836 14947\n7619 12181\n171 15894\n900 11368\n11051 16491\n3593 11125\n12712 15293\n9410 11213\n1245 14628\n5896 8220\n563 9985\n8678 14319\n8587 9101\n889 6486\n14203 15580\n4067 16728\n6340 11069\n1473 11564\n672 5171\n7658 13166\n7676 15892\n5769 12448\n9946 16075\n4211 15593\n735 9666\n4955 12739\n112 13395\n5905 13998\n2845 8006\n9642 10063\n3507 15573\n2425 14837\n9771 13495\n609 4748\n9342 14885\n3948 12281\n7860 13189\n8314 11120\n4725 7126\n3999 12529\n3497 16973\n6932 17328\n7333 8212\n3835 12822\n9570 10332\n1304 11846\n5871 14414\n4900 13085\n5381 8669\n14040 16804\n4412 10829\n10678 14048\n2659 13916\n12870 14381\n3797 12354\n6084 12320\n4550 6775\n8951 16689\n4040 9545\n2589 12379\n1670 3584\n6362 10707\n3637 15587\n2424 16667\n761 8034\n2914 8083\n8509 9900\n7028 15359\n86 9661\n3660 9180\n966 12618\n1002 17344\n309 6443\n230 14519\n7391 14313\n3038 12035\n624 10874\n6623 8072\n239 8581\n14009 14530\n2574 13185\n1868 2670\n5217 16073\n4499 5211\n2628 9699\n2890 4848\n5954 9110\n12289 13864\n1838 6379\n2443 10813\n5396 5728\n10052 10336\n10055 11325\n1144 14995\n3283 6478\n12807 15364\n4706 15056\n8562 11450\n6659 14876\n520 14952\n12497 16183\n2516 5371\n9666 14141\n4395 16110\n75 215\n5814 9475\n750 17062\n15478 15772\n7700 16560\n1714 9058\n3121 10794\n2060 16389\n3328 12499\n5915 13666\n7033 10250\n835 4998\n7871 10437\n13192 13858\n1101 7765\n6534 7422\n6044 10863\n5329 15414\n1259 6198\n6573 10652\n15692 16427\n2569 15628\n7462 12449\n2188 14935\n11034 11218\n12989 17356\n8052 9668\n8064 8143\n8370 12141\n9547 12886\n13701 15841\n315 10913\n6770 7596\n2922 5179\n5484 10092\n2758 9618\n8495 15593\n1038 17361\n13044 15405\n6152 10520\n89 7198\n4448 16499\n366 4647\n1067 4758\n1867 4763\n2280 14294\n13846 15068\n10001 12839\n8644 9564\n8820 13229\n5321 10437\n10725 12559\n2090 5616\n15174 17319\n9924 11068\n10336 17140\n1610 17102\n14850 16518\n2841 12040\n13673 15129\n1314 1688\n1971 5376\n896 9290\n1113 4359\n3381 15267\n15021 17036\n3340 6205\n9897 11091\n3310 8662\n9203 16288\n7781 11638\n14707 15573\n15660 16871\n3608 6710\n3404 12841\n2838 14635\n1380 9118\n12542 14013\n7453 15097\n29 17056\n7679 9284\n2011 10451\n13773 17109\n5753 16097\n9880 15117\n3087 12260\n1175 10025\n7874 8091\n12090 14436\n1753 2465\n8659 12377\n12177 14429\n10734 15377\n8277 12342\n4248 15472\n695 8160\n1160 2282\n9920 12117\n14850 14929\n1508 11880\n3410 6117\n9189 12313\n5756 12391\n5825 9547\n6807 14243\n12412 15592\n2788 10320\n2266 6404\n6696 6868\n10396 16894\n4939 5504\n1152 2864\n15818 16547\n533 16924\n2536 4775\n1143 1441\n2211 6638\n4373 5632\n2368 7575\n3374 8596\n3758 6295\n12352 14521\n3866 6825\n6982 15756\n2992 7561\n7260 12469\n3107 16215\n6107 6908\n7125 12667\n3379 8947\n10784 11425\n7450 16185\n2259 13037\n713 12011\n842 5996\n745 17118\n9199 13605\n9824 13715\n7021 15800\n3246 13631\n8161 14160\n5203 5583\n14212 16572\n1472 4834\n5451 7754\n6063 12966\n7049 9458\n6454 15293\n1384 16135\n10260 17355\n7601 11028\n10619 11281\n4788 7878\n3467 6749\n2447 12830\n8706 9341\n12003 14179\n5061 13272\n8763 16610\n474 11149\n4259 12515\n10390 17365\n13514 16107\n11249 13484\n1904 14663\n1956 13380\n7409 9351\n9728 14553\n6929 15939\n5737 10273\n8161 12072\n1767 10590\n5203 15330\n12929 14040\n13169 17418\n14976 16843\n1604 7152\n13039 14758\n9563 17445\n8285 8310\n421 8345\n4238 17072\n709 4149\n1986 13428\n4911 5292\n15003 15422\n3517 12695\n10494 17362\n10453 13149\n3390 15937\n7598 16935\n4299 13979\n3757 9563\n1400 1911\n12063 12790\n2350 6034\n5582 10738\n15562 17280\n8401 11439\n1062 10180\n6950 8937\n12060 14227\n1012 13605\n7288 7773\n1563 16727\n12438 12803\n3902 14485\n12415 13796\n1914 11187\n5025 12146\n9230 17098\n7306 10477\n6445 15841\n3577 8882\n1740 10763\n648 13015\n2210 7354\n11238 13055\n3093 11901\n5705 14765\n14624 15777\n12071 12240\n459 12535\n1708 12031\n15299 15322\n8781 10343\n2154 8785\n6417 11010\n603 5288\n10655 13132\n11061 11723\n10229 14694\n7515 12381\n2318 13355\n1161 17222\n3578 10172\n3009 3963\n10079 15280\n9736 13886\n7506 8481\n7210 9454\n5369 14255\n11459 12900\n1679 9749\n6268 8647\n5081 12711\n10123 14321\n2531 9773\n11235 12582\n12468 14295\n8240 10759\n13909 17334\n4023 5111\n8937 14348\n3969 5076\n13373 14367\n8150 12219\n9476 12113\n9587 14320\n14177 15270\n1753 14170\n5985 17216\n3017 14192\n5760 9885\n2778 11702\n10892 14873\n321 11067\n12483 16849\n7532 15518\n8417 9226\n8269 11352\n3151 6788\n13337 16437\n2612 8106\n733 16689\n2902 13758\n3653 8251\n13080 14565\n403 2210\n11480 14921\n3199 16932\n7331 9047\n806 13079\n4125 13929\n7363 16488\n3353 4093\n2861 6633\n2271 4709\n8694 16003\n3738 9040\n399 8189\n1928 6897\n11395 14412\n10269 14320\n3210 3741\n5553 13268\n8996 15222\n13456 13964\n5484 15517\n445 15757\n6886 14702\n1385 6985\n9481 16188\n1414 5332\n8010 12770\n8637 10313\n4300 8002\n10225 12944\n10443 15869\n1382 16579\n2051 14012\n298 416\n741 6177\n2692 9385\n4664 16179\n343 5518\n1540 12026\n270 10602\n3786 5986\n5710 8292\n7329 9284\n7328 12130\n3012 16486\n5850 17339\n12083 12553\n9431 16937\n9801 17098\n7553 13791\n10935 14413\n8205 13952\n7770 15572\n1995 2988\n9993 17115\n8139 13250\n1746 17050\n2422 10041\n4220 14204\n2328 3570\n8021 9754\n2573 15760\n2368 12567\n11759 14304\n9793 17226\n8301 14256\n12248 17044\n889 9541\n13632 17335\n8495 13245\n10576 15848\n356 3002\n3995 12077\n5474 12542\n1707 7365\n2063 2407\n3710 5378\n4692 16614\n497 5941\n1697 16001\n601 13932\n4292 11938\n297 12271\n9423 10185\n11656 13901\n12225 12267\n10328 15523\n9657 12858\n27 3441\n5173 8642\n1935 3730\n1076 2339\n7746 12407\n140 6697\n8868 16783\n1031 11054\n5637 13194\n3474 6062\n4046 8643\n3976 15791\n404 15000\n10821 11191\n1389 8771\n13067 15035\n16075 16084\n4167 16391\n1058 3510\n10984 16546\n9005 13599\n2258 6777\n867 5787\n11639 12294\n38 7279\n6189 10887\n4623 8512\n5374 8923\n13266 16610\n5128 5335\n14761 16967\n2710 3934\n11162 15604\n12970 13826\n2300 14517\n3423 6686\n356 6257\n680 14368\n13018 14292\n3607 8559\n7241 9265\n231 8938\n3341 14265\n13865 14790\n13209 14505\n6443 16608\n13606 15193\n1428 1610\n7739 7742\n2655 5839\n16816 17020\n9186 12155\n1897 12153\n4181 12123\n2235 6231\n5266 15439\n5585 11118\n5413 9628\n1292 2461\n629 3519\n919 3892\n9208 16425\n3741 6489\n8745 9830\n14700 17082\n1541 3469\n106 14696\n4933 14740\n3625 7682\n3097 5561\n2505 4688\n4942 13088\n12366 13924\n13463 15361\n7552 14327\n10427 11949\n4855 9839\n10177 10721\n1140 2082\n2203 6840\n73 1480\n2474 4389\n15259 16540\n9665 14105\n10993 16939\n3498 6521\n7129 15173\n13746 16499\n2979 5345\n10738 11409\n12198 14977\n7086 14876\n1338 9410\n7351 13463\n3156 14971\n6903 14787\n113 12029\n7258 14470\n400 16677\n751 2653\n1573 12502\n2687 8829\n12203 14133\n8647 9699\n9542 15319\n245 387\n1734 12262\n11224 11484\n13876 16837\n10436 16640\n14138 14265\n11282 15766\n1112 10865\n524 10405\n5659 15882\n11187 12950\n288 16544\n2624 4024\n883 9478\n16453 16807\n4670 8713\n7525 15056\n4097 13299\n6606 12216\n10148 13565\n5453 9532\n3084 3147\n12558 15460\n4101 11364\n2281 9927\n5283 10081\n5417 6164\n714 6196\n6507 9125\n5109 6946\n15969 17217\n5040 9344\n1644 6868\n3601 16814\n6431 14418\n2230 6277\n16230 17071\n4570 13160\n1011 6366\n4349 7664\n613 9027\n4455 13401\n6680 9256\n4688 10997\n4759 10428\n2857 4835\n9368 10747\n9805 17066\n2715 7510\n5224 10448\n4196 13885\n195 16469\n1310 9107\n3155 16503\n13949 15209\n9437 16052\n1646 2169\n160 13566\n16138 17337\n10078 10108\n10200 13787\n552 16698\n10836 16671\n1008 5061\n4661 10337\n9368 13633\n13738 15199\n12871 15133\n996 15710\n11095 11354\n2487 16964\n10606 17423\n1070 2878\n9004 14105\n1830 7705\n3116 11168\n4472 10519\n4804 15871\n3962 15416\n15655 17102\n944 11923\n4138 5806\n5393 8002\n7528 9978\n4848 16513\n4342 13084\n1185 16752\n3394 10971\n11972 15972\n4137 4969\n1133 4687\n8386 12260\n2477 7174\n2304 9963\n5847 17318\n10668 15869\n10748 12236\n11073 16064\n1442 2489\n9954 14724\n10344 11971\n7009 7143\n3703 9635\n9890 13010\n9331 12610\n10405 15062\n7274 12178\n6645 10285\n6395 8080\n5444 13189\n2622 16790\n10004 16791\n1507 16386\n5213 5332\n6291 15559\n3584 7861\n10570 12491\n8305 13505\n1144 9741\n6253 13752\n8151 16558\n8747 16225\n1536 16623\n13357 14748\n7109 13498\n5664 16641\n6217 12850\n4217 9382\n2334 9856\n884 11613\n604 2117\n7784 15166\n2527 5107\n527 11273\n7136 10283\n9116 15978\n2622 8168\n6286 9214\n6330 13407\n3532 13836\n9086 13551\n6744 7106\n491 3188\n3354 16181\n10166 16238\n4979 12671\n733 2452\n8942 9905\n7046 14014\n517 11891\n8376 16490\n756 12009\n624 10009\n10598 10822\n5340 10904\n9183 13116\n7622 13621\n3494 6561\n11635 17354\n11108 12047\n14070 15864\n4652 10862\n15686 17453\n3555 4585\n10056 10948\n8219 15063\n8509 10404\n9429 16495\n2073 16306\n4274 9586\n13591 13683\n13052 13223\n14632 15851\n586 2465\n1827 16030\n3281 16743\n1952 5287\n10835 12447\n10073 12116\n362 1905\n14422 15243\n6981 9789\n6306 9773\n5190 12203\n6762 10825\n15675 16162\n9795 11870\n5652 15961\n6974 11509\n1509 13258\n2273 5616\n5350 13688\n6195 9242\n1644 8425\n1441 13023\n4002 6590\n5621 15407\n8007 8553\n10928 12524\n9655 15032\n7963 15199\n12532 14271\n2823 12964\n6763 17123\n2771 9709\n2817 11273\n190 10423\n6032 8704\n4159 11902\n7910 14409\n1969 2396\n8494 10415\n214 12979\n2240 8988\n2936 13196\n4650 10213\n6171 10830\n6676 12372\n2961 13797\n2615 14166\n4816 16261\n644 11827\n148 435\n5640 17186\n5600 9712\n3110 5653\n1590 11674\n1657 2588\n11470 13089\n2634 6019\n6649 6859\n2940 12334\n2359 10905\n7557 14154\n10313 14528\n11835 12378\n822 14903\n4582 17187\n13209 17398\n6737 13250\n14024 17019\n247 9801\n5692 8714\n9405 15352\n4867 8968\n2622 11435\n5712 12105\n6168 7850\n3611 13961\n1881 14080\n4741 17060\n10366 14280\n6534 13370\n11920 14426\n6428 16184\n12607 14350\n346 4054\n2908 16429\n2887 15826\n11062 14670\n14222 16877\n6782 9067\n11030 12321\n2697 5161\n2440 14086\n13263 16933\n13319 15152\n799 9341\n3752 17124\n12020 15129\n6606 10917\n3477 14160\n3572 11251\n5410 8657\n4207 7445\n8978 10550\n8658 10310\n9641 13629\n12851 16354\n5976 14697\n2691 14695\n702 6101\n13958 16411\n6938 16891\n837 4932\n7322 9221\n3418 9724\n611 9231\n5015 6779\n7673 15795\n3456 15465\n65 15494\n1489 16972\n1432 5071\n13633 15110\n2165 14880\n4071 7226\n7540 14293\n12173 14412\n1817 1941\n7155 10476\n49 10069\n11466 16990\n2620 15750\n5627 13075\n7729 13579\n7118 8883\n3899 4000\n2839 13727\n9839 11265\n970 6760\n11287 15245\n6202 8517\n4659 15305\n9621 16788\n189 2773\n259 5102\n3228 6169\n2507 3188\n5848 11362\n940 15405\n3516 11323\n4458 5360\n1754 6989\n4808 15746\n13607 15337\n1733 6966\n3845 4875\n12421 13329\n9900 13432\n1063 9767\n12800 17105\n7580 11950\n5697 13454\n7318 13505\n1110 12925\n4402 15317\n4805 9775\n658 14138\n1332 9297\n210 3625\n9487 12369\n614 2926\n2 8305\n11630 14792\n9375 10368\n9461 13795\n7509 11472\n1989 6611\n10303 11619\n1346 7145\n6798 14717\n4817 8788\n2728 3133\n2258 7734\n420 2388\n5892 11146\n9447 16181\n12229 14804\n310 1241\n1777 16515\n3489 11235\n1875 14733\n6703 15468\n2614 13269\n4953 10845\n8600 16699\n5084 11681\n2054 10389\n11869 14199\n10774 13654\n7216 16109\n9308 14271\n6532 11499\n4435 13237\n8582 14536\n8567 16124\n3651 4842\n6420 15402\n6045 16532\n13586 15858\n3234 5493\n6324 16585\n704 11474\n445 2518\n33 8199\n5819 7220\n144 4847\n529 8233\n5792 16590\n1449 4352\n3358 15244\n6247 9812\n1519 13664\n4276 10491\n87 14307\n4380 12507\n14513 15782\n4387 13784\n2189 2923\n3956 5485\n688 4364\n3932 9561\n3165 5193\n8078 10074\n7217 13286\n5008 11002\n4438 7741\n15120 16104\n6122 16712\n1860 4684\n6437 11294\n4557 12112\n580 9060\n10142 17441\n8929 12706\n2905 13053\n5187 17352\n4448 5826\n4303 15504\n645 12420\n941 5187\n361 14871\n3335 3877\n2358 15971\n1221 9189\n1378 6713\n3993 15472\n14003 15357\n7851 11341\n6002 15309\n5759 5992\n5190 10163\n3397 5725\n5028 7882\n266 16919\n6394 16961\n3430 14752\n15726 16835\n8142 10660\n9174 9751\n9107 15237\n9543 17417\n3636 9153\n1546 10439\n815 14998\n3142 16886\n7760 15457\n7044 15068\n11020 15248\n4031 14791\n3156 4445\n4062 14391\n10941 13694\n3265 10856\n3758 8650\n4927 16007\n3073 13992\n2826 3737\n6034 6411\n467 9618\n544 5277\n8123 12648\n7353 8304\n9322 14421\n13631 14696\n10096 11675\n2067 9259\n1681 2964\n3672 9549\n213 484\n1844 6702\n9462 12580\n1862 9175\n2020 5168\n17117 17179\n6042 16352\n7915 12627\n6231 14600\n7643 12826\n4095 10719\n1974 9049\n13674 15505\n1571 13932\n5907 11041\n2199 13856\n8063 16542\n7880 10300\n4086 13531\n7605 16347\n7692 9479\n3544 7034\n1646 17203\n9422 10025\n2463 17173\n4628 17179\n3949 16342\n6227 9632\n4788 5311\n3844 10540\n7879 13457\n4136 12336\n5728 10409\n5292 10161\n16227 16637\n1032 11971\n2847 15450\n3289 5967\n2721 11920\n3326 15019\n6813 11549\n2521 5202\n2075 7460\n10995 12829\n362 1839\n4513 15349\n11391 11726\n495 8526\n107 8095\n1060 7730\n4981 9268\n9729 16194\n7481 8097\n14303 15203\n8682 15358\n4558 14064\n2666 10983\n8177 9894\n11988 16110\n8075 16731\n5325 8688\n15779 17036\n829 11127\n8297 14593\n8187 13511\n1451 10129\n1999 9705\n2875 15235\n1078 5830\n11038 17295\n5828 6414\n4170 10413\n1815 3637\n8942 15786\n2006 17329\n1757 14316\n10011 13614\n479 13561\n6057 6835\n1247 7615\n2438 2576\n13034 14613\n15302 15844\n6099 7206\n12417 14624\n9546 11857\n5209 11647\n3334 16828\n3057 14390\n10258 14344\n1628 7859\n1058 13751\n6800 10055\n716 7483\n6585 15112\n428 10671\n3554 9359\n5850 11683\n1805 7292\n9829 14290\n12426 14033\n729 1822\n1443 16169\n6069 10223\n204 10694\n1102 14979\n13862 16987\n5889 8187\n11080 16075\n1902 11949\n11494 12432\n10224 14689\n8050 10691\n568 13935\n11656 16730\n3324 5907\n6092 9147\n4589 11015\n11080 14823\n3357 16626\n10954 11203\n1553 13716\n7581 13746\n5264 10917\n8808 17127\n8703 11548\n6767 16509\n3265 14685\n6072 6487\n6855 8489\n544 10892\n8125 14208\n4614 6320\n3258 11255\n9076 15851\n12723 14571\n6321 13931\n5714 14122\n4853 14551\n3229 7558\n10667 14052\n2982 7273\n6125 8319\n4074 5340\n697 13911\n11088 11880\n13233 15121\n9894 12839\n4970 13728\n6165 12870\n9729 13426\n4178 8205\n9472 10743\n3853 10801\n15590 15593\n12302 16783\n7084 13030\n5739 9944\n5380 11842\n3955 15382\n1834 12340\n7766 9829\n1141 15778\n4461 15884\n9552 10767\n15244 16570\n357 12101\n2438 15383\n697 2732\n5491 10460\n3714 5941\n549 10301\n13511 14550\n8075 11279\n2734 12039\n4207 16845\n3484 5095\n4323 11643\n2303 7384\n1114 7167\n9191 13633\n7883 14478\n3197 6356\n901 14048\n8047 17183\n10932 12287\n11833 15067\n1729 9695\n1650 16420\n1803 10316\n2046 7633\n9305 11381\n10934 14161\n3226 16134\n11932 17384\n3272 16409\n2240 3172\n475 16963\n2094 11416\n4386 4805\n552 1140\n3309 7506\n8118 9760\n5784 14880\n5636 9963\n8584 12400\n6839 16927\n918 10750\n2503 7807\n13887 14626\n13257 13746\n5154 8096\n4810 12568\n5579 13794\n5300 5940\n12687 13765\n1306 6482\n11506 16122\n2230 12000\n12310 13768\n13049 15420\n33 6312\n4653 6141\n14057 14293\n6326 11881\n401 15737\n6532 15290\n10712 11960\n452 3167\n7097 14748\n157 6413\n343 10846\n7035 7324\n12272 16772\n3581 16120\n13585 14735\n7208 10772\n7336 11575\n1080 3410\n13731 14053\n339 2678\n5331 13770\n8841 11290\n7789 8597\n883 17067\n15087 17357\n3033 12948\n3457 13728\n8430 14613\n7498 13874\n5287 9096\n6083 16709\n1857 17265\n8099 11951\n2826 11551\n6072 7177\n2582 15589\n8494 8976\n3655 16860\n15319 15526\n3861 13856\n6425 8274\n3720 4121\n9715 17345\n9487 15751\n11367 12502\n1879 8359\n5063 10377\n2286 13275\n5561 16518\n4451 12896\n6562 16657\n493 3983\n14893 14934\n5477 16489\n5994 8175\n6835 9829\n13424 15509\n3583 7259\n1646 10659\n6077 14973\n12021 13102\n10354 15566\n5158 5250\n8535 11989\n1 9666\n15314 15648\n3372 7306\n983 11456\n1012 16336\n6116 14144\n1116 8453\n2485 8472\n1710 8551\n4343 13717\n4322 6245\n7792 8501\n3925 9401\n8367 12261\n1513 8107\n9112 10073\n10330 13998\n7555 15730\n4448 7271\n2660 5943\n11944 16312\n10031 11163\n4702 9857\n12405 14683\n6716 12362\n15553 16912\n8539 17179\n6971 12219\n4776 8846\n2501 9293\n10364 15620\n2156 13198\n5475 11666\n6675 7332\n6035 8069\n7934 12734\n8692 8867\n4643 6506\n2024 13188\n12844 14500\n11702 13005\n5421 15200\n1114 7836\n10546 12970\n172 3846\n5941 16773\n1203 12339\n1175 11332\n4247 13384\n706 7929\n9482 11025\n2852 9649\n6746 7750\n2986 10587\n11101 11518\n10163 12435\n15659 16925\n7039 10131\n8142 9119\n10962 16136\n5001 13607\n6422 13320\n7448 12612\n1887 9811\n8259 15846\n2938 10587\n1326 3463\n10713 13956\n5471 5604\n5602 15111\n9730 16885\n9127 12887\n1321 1629\n10226 11877\n14512 14715\n1055 13196\n1625 9515\n4972 16185\n5494 11600\n13084 14180\n2070 6915\n3082 16782\n4783 11055\n3728 12186\n771 5778\n12559 16809\n33 9655\n3638 4042\n989 9641\n2961 12129\n1211 14822\n3401 11198\n10667 12368\n10018 13523\n509 15836\n2119 12661\n5258 6287\n149 5440\n4807 5697\n174 15504\n8183 12281\n416 9165\n6492 12751\n4410 10073\n796 4876\n10388 17112\n229 14191\n5366 6010\n5373 14862\n2342 10245\n9364 15134\n10308 11655\n3200 14545\n1286 7929\n6982 7189\n13791 17437\n8547 9980\n212 8654\n8566 15899\n126 15541\n2462 7963\n13421 15876\n4362 6359\n4886 14103\n9360 14484\n11145 14027\n7299 8077\n11680 12280\n6692 13586\n2160 16223\n10240 12717\n982 14002\n325 13444\n1057 17242\n3837 11775\n2909 11411\n3449 15560\n13749 16883\n3895 5962\n9311 11923\n6894 10240\n11319 16715\n7795 8627\n7743 12468\n7349 13505\n11421 13622\n30 15356\n2514 15835\n9728 12952\n6483 15642\n4160 7974\n2099 14752\n16339 16496\n12138 13760\n9445 13023\n4142 7624\n4485 7369\n11298 13044\n4027 6417\n5400 6534\n3535 8247\n8820 14730\n7617 15266\n8824 14788\n9254 13033\n15090 15992\n8139 14514\n14157 16255\n6145 13640\n3403 8003\n4956 11591\n3909 14762\n8830 13818\n2495 6252\n4576 15026\n7184 16191\n12043 16641\n11373 15508\n11041 13038\n7155 14117\n571 8414\n1708 5758\n1650 4251\n5168 11292\n2698 3582\n3320 8081\n5731 13054\n12890 14299\n14746 16245\n759 2476\n1835 10293\n12056 13484\n10742 15203\n6062 8343\n8339 10590\n14404 14702\n9875 15398\n8897 11834\n9074 14352\n3550 7331\n8332 13372\n664 14173\n11863 12186\n5557 9761\n5043 11479\n6678 12420\n2528 4510\n8260 8599\n12779 14406\n3713 13375\n12450 13732\n4528 15738\n166 17400\n5039 12059\n4465 10371\n383 3861\n3645 9922\n7310 16946\n1369 17053\n10518 12284\n9361 16540\n8577 13594\n8644 9038\n8560 13493\n7390 15396\n268 16617\n6621 8012\n2737 9692\n4503 8097\n3014 3363\n9651 12165\n2170 16587\n1438 10703\n8275 12502\n5975 16347\n2031 2477\n2869 9962\n6774 16287\n11901 12607\n5301 16596\n5970 12427\n10825 13839\n8919 11996\n4781 5787\n7588 11128\n8358 13931\n3903 7367\n2779 11480\n903 16804\n5473 9226\n15715 17203\n16173 16428\n3064 12004\n9924 10878\n8075 11463\n2407 5822\n6715 9208\n6065 14485\n2797 11864\n4236 8410\n64 7892\n1173 17178\n9388 11735\n6403 10718\n8773 13744\n4207 12318\n11522 11781\n4352 4437\n6117 9996\n12562 14163\n3208 4048\n5665 12847\n2988 3116\n10862 12132\n8912 11572\n2032 8867\n4061 9085\n12507 12758\n8075 12222\n1684 4147\n7466 10540\n356 14861\n11476 16546\n2515 15860\n10750 11549\n2813 11694\n10316 11127\n14801 15563\n9142 13804\n10432 13674\n7715 15755\n14422 15527\n4176 10644\n1995 5785\n1365 15632\n8384 12879\n4921 14383\n8229 16248\n804 13906\n5728 9044\n234 16005\n11366 16093\n201 12238\n4628 15769\n10362 11873\n2921 16403\n7493 13356\n3302 10504\n7117 15000\n1751 17328\n2690 4722\n8487 11838\n1376 8993\n153 2451\n3249 14697\n12267 16442\n1328 3288\n3604 14313\n10729 12737\n7346 15682\n5524 15937\n3433 17122\n5041 12441\n4449 7725\n4320 11697\n1824 2587\n8658 9791\n9441 13894\n629 14839\n134 12920\n10318 11149\n1873 17239\n7786 16866\n6406 8176\n5640 12539\n5833 9436\n4968 11843\n1467 9828\n7538 17264\n6894 8096\n7765 8134\n7085 10961\n2291 7313\n7915 12205\n4689 13601\n15353 16299\n3400 13213\n14799 15957\n1706 14487\n3764 10030\n9121 10165\n3228 16525\n1434 8667\n7127 16232\n563 1457\n8576 16204\n1684 13937\n10468 16222\n4365 13443\n3528 12122\n10530 11671\n159 6202\n24 1623\n8535 12935\n306 8550\n10184 14943\n2964 8753\n2059 17297\n3706 5156\n11442 11551\n13730 14620\n2312 5498\n529 6992\n5751 14531\n1531 8432\n169 8054\n432 16604\n13 16552\n12500 14155\n12303 13870\n2218 6047\n9361 13608\n4416 7673\n7060 14280\n1368 6060\n1768 7588\n3426 10222\n12956 15653\n621 4241\n509 7180\n9751 10100\n4114 13837\n12930 14059\n1224 10920\n1875 7937\n8923 16205\n8843 12980\n3226 13222\n658 11015\n6864 17245\n2879 7801\n10657 11134\n3215 9093\n2384 5722\n4262 15141\n5796 10609\n2373 4431\n11721 12397\n6714 17397\n11835 14266\n10074 11474\n11378 11585\n8905 15329\n5824 6917\n2419 12709\n14949 16722\n5933 15872\n700 10782\n3073 11856\n8483 15472\n12470 13264\n3288 4103\n6754 8592\n9455 16166\n10184 10233\n4661 13099\n5881 13239\n5885 9350\n1727 15927\n13618 15244\n11823 11859\n13875 14690\n5267 8996\n8395 14909\n3009 15562\n5607 9614\n10500 11298\n15240 17086\n5549 7915\n11632 14405\n10444 14257\n300 12291\n2948 9878\n15994 17435\n10288 10360\n13423 16945\n1875 6887\n17072 17350\n8954 15612\n3336 7971\n10083 14702\n2805 10902\n4462 6479\n5699 7672\n6905 11836\n3330 15949\n1095 11823\n7381 10221\n9567 11896\n15123 15766\n13208 16158\n5068 9401\n6577 9829\n7115 9086\n6760 9507\n13420 16075\n16029 17325\n4366 16817\n4044 8582\n12025 15209\n178 6070\n5390 17153\n6838 11986\n10191 17259\n2562 4928\n4345 10310\n653 13385\n1838 14704\n13970 14018\n3164 11160\n5028 17218\n4588 16134\n16071 16114\n14050 17320\n7075 14594\n12635 13365\n547 2893\n5751 10710\n7305 14878\n3007 14671\n4417 8285\n898 9684\n10643 15159\n4921 5512\n4784 13359\n908 5998\n5351 9621\n2503 10411\n12310 15874\n7130 8134\n15789 16198\n319 2813\n14685 17356\n7102 7246\n9947 11258\n3276 15387\n533 15304\n6725 8082\n540 13133\n986 3836\n15559 16358\n4381 16790\n1702 2792\n2728 7426\n5087 11630\n4553 13204\n1051 3720\n6162 13155\n8630 9209\n5598 8389\n7191 13358\n9708 10932\n7327 15588\n9390 17207\n5849 16563\n3713 5210\n8522 13566\n189 6450\n3902 15018\n9034 9598\n16257 16706\n4210 16517\n7965 10422\n4635 6364\n6900 13330\n849 3554\n2923 8127\n2355 12759\n6156 7763\n2491 7954\n1004 5264\n343 2247\n1306 12260\n11234 11904\n13850 15778\n9401 9675\n13346 15829\n4325 5288\n8068 11506\n5474 8914\n8104 17260\n4762 15953\n1206 5224\n1132 5982\n11892 14551\n10000 17353\n13891 14908\n8021 11761\n9180 9333\n4880 13964\n4356 6304\n10406 15393\n4794 13795\n7143 9308\n6295 14425\n10108 15967\n2656 6401\n1838 15163\n4721 12404\n1811 10441\n1465 8100\n6107 9424\n6721 17299\n1363 8735\n15811 17460\n14719 16621\n6313 9093\n3816 10291\n4376 16354\n669 4401\n10437 13602\n3049 4547\n933 5852\n3403 15101\n11274 16146\n6548 10676\n9880 17176\n5449 12822\n3382 13880\n1469 9922\n7678 16763\n11725 16222\n8647 9144\n1337 8844\n6854 11687\n3077 5989\n10602 16154\n5353 7681\n11179 16724\n1212 3345\n6323 6694\n9634 15126\n1851 9353\n41 1907\n4993 14475\n569 15391\n9524 16070\n1758 16747\n2340 15396\n16927 17441\n4806 16435\n2886 9266\n11840 13391\n15996 16976\n7812 16510\n1130 9448\n13887 14534\n11033 15553\n7879 10954\n2583 13723\n3157 16403\n12728 12730\n4834 16162\n612 13489\n987 11253\n3329 9240\n1743 13821\n13149 14035\n3618 8056\n3974 16282\n4222 6107\n2835 4690\n10114 12569\n8710 16356\n3918 16939\n2618 3543\n13577 16432\n14593 16865\n8241 8663\n1153 8468\n4054 4058\n902 11151\n4989 11780\n14436 17079\n10302 14772\n3253 10533\n10180 10305\n7523 11499\n3703 13160\n3169 7445\n14362 16096\n11716 15029\n9867 11448\n9142 9767\n8951 14916\n7116 13995\n5486 7072\n5816 8470\n7619 12573\n9622 15860\n1811 6159\n4652 10783\n10791 10898\n8142 13806\n6639 14063\n14609 16696\n5424 8455\n8573 13436\n498 13748\n438 9534\n4282 5746\n14852 15169\n6250 8292\n683 690\n5187 16077\n651 9774\n11952 12575\n6675 13218\n4046 16865\n8021 16806\n4191 16691\n513 6067\n8831 13521\n1654 13567\n3791 15982\n219 721\n2673 2876\n4834 4893\n8377 12298\n737 5813\n11908 12150\n4850 14920\n639 4509\n9650 13988\n3417 11004\n10200 14427\n10439 12234\n2722 17152\n6417 12121\n4947 13275\n4638 13994\n6308 8308\n2861 10668\n3398 17097\n3579 7335\n8336 15310\n11598 13526\n4731 9404\n373 10766\n13250 15843\n5719 6804\n234 15237\n10986 15416\n4536 14997\n4433 11276\n11168 13972\n10489 15632\n4041 4851\n1373 10191\n1189 15996\n883 11138\n4491 15964\n1054 12189\n1944 3623\n455 8279\n13873 16317\n5486 7674\n11279 13574\n5171 11570\n936 10204\n5501 14966\n3163 16415\n8322 13046\n14723 15763\n4133 6494\n1881 6746\n8871 12338\n8377 11134\n5546 8474\n2398 17243\n7650 9427\n2779 17437\n9667 15378\n410 1374\n1209 9613\n7981 11320\n7865 8688\n977 10552\n2069 3003\n9697 10225\n2817 13284\n2300 4902\n6291 6708\n16826 17252\n743 2454\n1562 8308\n3888 13954\n3582 9116\n822 8576\n8623 14953\n5506 13342\n3074 7057\n11140 15616\n7456 13248\n5924 14569\n827 13002\n930 4535\n2920 8318\n7118 14839\n5826 12510\n8483 10219\n13438 14286\n10140 13731\n683 7770\n6750 11167\n10213 16335\n4306 15441\n10155 12963\n1085 6932\n1242 6314\n11723 12763\n2263 8333\n1279 6760\n551 13989\n6384 8509\n1998 8547\n6770 10489\n11029 11401\n6080 15440\n10226 13269\n6674 10930\n5869 15642\n885 10457\n4919 5808\n3172 6805\n482 10778\n13378 14950\n272 3567\n13255 16980\n14063 17347\n5343 9550\n544 15210\n1053 11569\n2882 12234\n728 2139\n935 3173\n904 13418\n4384 13727\n2257 15661\n444 14527\n1180 2309\n15298 15336\n1084 7271\n9716 10283\n16981 17233\n8383 10552\n6034 11055\n2430 10395\n3062 11969\n11234 15350\n12633 14524\n9921 10011\n5723 6625\n15693 17437\n2246 17257\n9238 9458\n7243 11224\n4260 14988\n9862 16065\n4622 16548\n5976 9256\n340 446\n1319 5416\n4685 9248\n6929 9621\n11922 14598\n3000 7199\n5196 12599\n5500 8205\n8601 14159\n4179 5773\n3612 9484\n5761 9085\n2393 6519\n9263 11203\n2384 14667\n2925 12094\n6380 9865\n6611 14382\n4073 13927\n3597 17104\n2957 2996\n8225 15044\n7040 10515\n9412 12749\n5751 8869\n4066 15960\n5325 12810\n9882 15454\n7068 9252\n7642 11986\n12627 16703\n1285 15242\n5316 10580\n1062 1542\n2008 11911\n11146 15158\n7799 13239\n436 2159\n4106 12068\n10110 12919\n9835 14933\n7232 11052\n1173 7049\n5844 8266\n13144 16965\n9959 10736\n3235 11851\n9988 11252\n10618 13337\n6192 6339\n6470 7296\n1177 5715\n9364 10580\n715 10654\n9128 16929\n7264 16302\n10599 16333\n5721 12740\n14558 14806\n8345 8943\n4386 7574\n4836 9063\n4433 11876\n6931 15177\n1402 4850\n8756 14776\n13906 17447\n3925 4793\n7377 9290\n13450 15936\n3954 15813\n5303 6846\n4281 17458\n766 8720\n9795 14380\n575 2946\n7594 16781\n1945 15562\n1633 4740\n963 16784\n422 10694\n4537 9766\n3474 7230\n2361 5026\n12158 16404\n5796 14190\n9068 11833\n3677 15382\n2338 9514\n2862 8761\n4587 5851\n2963 10817\n392 12850\n5551 15830\n3298 15273\n10865 16207\n8648 11047\n13620 14842\n14422 14789\n5824 14848\n10180 14087\n7037 12797\n2173 5943\n1866 13155\n3698 10664\n13180 17170\n8096 15877\n12876 17431\n2997 16770\n4849 10367\n89 5853\n1231 11927\n10860 13269\n9879 14704\n5356 10005\n7649 12889\n10867 11804\n2054 2156\n1880 10999\n12030 12167\n5722 17081\n9102 11806\n12402 16125\n8046 14354\n427 6619\n6297 6855\n3216 13157\n1732 3593\n2658 4644\n2787 4245\n10117 13749\n8531 11486\n6358 11813\n4270 15868\n6184 9553\n6165 16003\n3126 11222\n2002 13583\n7219 15177\n2561 3559\n14733 15643\n9844 17408\n10202 10462\n3398 6945\n1837 11068\n1657 10424\n6050 12891\n685 15212\n4815 6581\n5531 9824\n4101 6668\n7362 8709\n5494 14458\n10412 11448\n8053 10665\n2002 13573\n1237 8260\n7546 12314\n7027 16427\n6031 12653\n7999 8418\n6115 7567\n16472 16484\n4084 9828\n1543 9921\n2450 11223\n4628 16503\n2641 17337\n3297 4702\n6923 8992\n10771 13312\n8490 12590\n8336 12538\n260 3100\n6427 13619\n15570 16407\n7785 14961\n10350 16739\n16035 16235\n45 7064\n4638 6999\n9007 16913\n7644 11554\n951 12862\n1535 9293\n6661 10835\n5947 14442\n8498 9894\n7623 11569\n2607 12867\n1945 10324\n6147 13208\n1182 4255\n10503 16050\n1138 16739\n1247 17015\n11904 13353\n2479 3088\n3260 9122\n13506 13994\n1541 16312\n5349 7558\n615 1294\n6813 10313\n12622 14196\n1342 9721\n4930 16770\n5878 15191\n9286 15756\n12513 17382\n5662 17071\n6090 13201\n16951 17137\n4149 16690\n10070 10176\n14093 16712\n9627 14316\n168 15540\n13272 15351\n16494 16982\n11993 14310\n16199 17288\n11759 17431\n8796 10977\n4246 14145\n5446 9826\n12337 13298\n171 12131\n2779 10937\n1166 17040\n9988 10737\n13 10553\n1494 11936\n4929 14356\n1844 8973\n10871 14602\n13444 13922\n2828 10603\n12280 14617\n7440 7820\n8586 15984\n1604 6399\n1528 9497\n544 6994\n8858 16181\n5439 16194\n1453 7284\n5354 12610\n8581 12379\n9993 10647\n1689 4962\n12488 13089\n1636 5691\n5194 15257\n10997 12875\n10205 10927\n9957 10418\n4880 16009\n1889 4302\n14043 14573\n6051 16050\n3431 15724\n3415 6068\n5137 8891\n420 8593\n8150 10610\n13306 13550\n16275 16870\n3562 10770\n3527 6714\n5300 5692\n2496 16898\n5001 17011\n11830 15797\n11499 16414\n1439 16872\n11698 15603\n11909 17002\n2905 8870\n11518 12693\n3082 16878\n786 14521\n4526 8361\n3154 15913\n11516 17211\n5487 17450\n5082 11246\n1214 14194\n1386 14840\n2106 3884\n6366 15695\n6076 6969\n13789 15292\n418 10239\n2925 8716\n10771 16299\n5716 13481\n4767 12768\n3359 8717\n13278 16405\n7387 7661\n1173 14617\n11199 15068\n2927 6954\n9050 14291\n393 9698\n1761 14579\n7203 9327\n839 2370\n10547 14359\n2609 16222\n5291 15807\n2633 13590\n5474 12519\n981 9550\n828 13655\n4797 9950\n4655 7011\n2183 8775\n2511 13565\n11544 16131\n6460 8629\n750 1839\n5942 14081\n8497 16610\n4894 6813\n2830 15869\n1460 12051\n13916 14148\n2945 3008\n15584 16885\n3490 6190\n13533 16062\n4062 15087\n2602 14623\n3048 10244\n10361 10902\n10732 15993\n9231 16336\n6945 9356\n5898 9206\n3277 12757\n165 4975\n2219 9207\n14729 15872\n11934 17352\n5806 16520\n1654 3263\n1984 17105\n450 1802\n5689 5692\n347 1661\n5795 9892\n14090 15144\n5495 7919\n6543 12162\n6181 12675\n5237 11959\n3551 6657\n8980 11151\n4255 7909\n5292 9034\n4910 5490\n4293 12759\n4669 9247\n8483 12884\n3010 8057\n9462 10078\n1265 7346\n1692 4001\n4917 8724\n935 17289\n2488 4655\n5771 15076\n6080 11098\n8943 15600\n5834 13083\n15392 15818\n12750 14564\n5894 11010\n14561 16720\n4873 5415\n5418 15874\n4585 16485\n2104 13050\n10303 11155\n9092 15301\n2328 8915\n4882 12808\n13561 13842\n2316 9994\n1366 15865\n2899 3504\n4156 13490\n707 5047\n9822 11330\n10081 12151\n9693 14954\n726 15590\n12460 15387\n945 3843\n3753 11245\n4796 13996\n5867 14286\n1608 6404\n873 15723\n3925 14855\n1135 8920\n3173 6236\n5532 16258\n10402 14783\n8669 11762\n1300 3605\n674 6625\n7492 7913\n7175 8683\n3326 4963\n5787 9397\n2604 6256\n8596 16936\n1293 2015\n3834 12524\n2756 12646\n1401 13774\n10542 13196\n15607 17347\n530 11264\n1950 6889\n5296 16846\n8915 15155\n7343 17435\n2373 6619\n2827 4017\n3262 14235\n828 4595\n933 15445\n10690 11710\n3704 4800\n5730 12329\n2160 16797\n16118 16731\n1370 17402\n15843 16804\n12177 14111\n7330 8671\n1388 14159\n4227 12403\n12610 14273\n7253 17162\n9170 14891\n1844 15977\n9447 9531\n3042 8589\n10148 15132\n14674 15579\n12798 13434\n4976 14796\n201 1527\n1075 17318\n12701 15625\n3934 9606\n5254 14922\n8089 15264\n6067 16044\n4243 9803\n3545 4505\n13271 14275\n10514 13974\n7713 10866\n4305 10558\n9386 13685\n12467 13094\n11102 15963\n3337 7850\n3236 12907\n8964 17145\n8577 13837\n5577 10659\n2318 4708\n608 9231\n4704 6437\n2949 7650\n2716 15229\n364 6239\n11005 16364\n6369 16755\n3995 8932\n3239 15935\n5099 15400\n9383 11035\n190 13569\n12174 15654\n1234 15212\n6121 16433\n687 9376\n1703 3774\n4963 9979\n5094 16288\n1422 14640\n14472 15095\n8579 14063\n1166 6857\n3692 14413\n8763 13498\n1436 6285\n2955 15884\n8166 10032\n2696 11270\n9003 16643\n6639 17272\n3039 12555\n1872 5685\n5179 10363\n3607 15663\n5650 16861\n5238 8417\n10773 17114\n5238 17223\n3061 12905\n8937 17381\n4396 5334\n13612 14026\n2430 15904\n3528 8401\n13232 14650\n2604 15570\n8452 15555\n6783 15197\n3396 9817\n8248 10581\n539 960\n6660 14252\n11041 11203\n947 7923\n10752 10823\n6805 9645\n5712 8068\n9781 15970\n6 9738\n11283 12546\n7833 7838\n1584 12342\n221 13454\n1092 9130\n3224 13256\n8559 12572\n8380 14059\n494 13497\n5138 8622\n4093 8106\n14005 16870\n9857 13579\n6086 12471\n3935 7965\n4527 17063\n10179 14437\n40 7722\n5032 11368\n12617 16680\n3439 4393\n2620 16080\n2816 3839\n888 8033\n826 14089\n12010 15727\n636 13018\n1401 16478\n10100 12584\n203 544\n5226 6068\n2328 12626\n12540 16338\n10797 12495\n3765 5850\n4749 9054\n6415 9076\n4384 12501\n4326 8266\n1392 13844\n1631 5817\n10195 16594\n3336 9231\n7722 12132\n5517 15451\n14236 16377\n8110 8941\n713 3520\n9289 16518\n3961 11896\n5606 7830\n377 2288\n1446 1968\n6603 16446\n9031 14820\n6420 14326\n11461 13184\n6384 6526\n1238 16857\n7087 8934\n2580 8438\n6042 9404\n1559 16194\n3328 7055\n10421 12596\n6874 9681\n4899 12777\n1346 10219\n1268 7989\n16158 16388\n318 2004\n3128 8092\n8547 12424\n12551 13909\n906 12470\n2077 9047\n219 16037\n7038 12148\n3360 6560\n1173 6843\n2207 14328\n1750 7337\n6911 10674\n11048 17355\n1892 9423\n1469 7623\n1059 2831\n2289 17080\n3423 6148\n11078 16716\n488 9832\n9992 16074\n4786 15376\n2139 4547\n11612 15856\n3970 6569\n8205 11347\n5428 11599\n8452 8844\n7488 17425\n4738 9438\n2637 8147\n4035 11224\n7194 11108\n1655 13115\n7769 13991\n3676 12589\n7533 9216\n11598 16410\n5862 14718\n165 14277\n2782 7093\n1099 7251\n1899 15143\n8462 13520\n14054 16249\n5708 10812\n12239 12961\n5260 12973\n5752 13939\n6020 7031\n1882 9937\n9230 12044\n660 16123\n6083 7280\n1517 14975\n10670 11363\n4810 12141\n795 3079\n14602 15418\n14391 16797\n1875 7599\n11210 15944\n3092 10172\n2137 16398\n5813 7548\n4928 16578\n9860 10456\n17 14672\n3811 10057\n13875 15047\n6272 16759\n14000 15769\n4845 14818\n6673 14484\n5407 15110\n3966 10821\n1228 3331\n8212 13685\n369 12648\n12378 17392\n1768 5810\n1917 3037\n2611 6672\n2555 3976\n10505 14164\n5190 6357\n10846 13599\n3207 12286\n7059 9585\n76 13556\n2556 6697\n9545 12049\n5868 7900\n4126 7032\n8852 12601\n2676 8120\n6334 14652\n6014 12177\n2627 12723\n2030 8740\n8089 10509\n11736 16767\n6246 13609\n4449 10604\n5721 9729\n6345 15092\n14843 17109\n8051 16493\n2780 13555\n6140 13445\n1030 1314\n1691 14647\n52 5149\n8483 13273\n8414 12481\n10551 12178\n4717 9093\n2234 15299\n1973 2978\n11236 13452\n7224 14173\n4249 16397\n9707 14215\n3832 13531\n11631 15783\n8874 14778\n2307 13313\n1474 14752\n791 11950\n6930 8339\n1793 7973\n3250 7192\n206 5776\n15462 15990\n9088 11206\n4129 16468\n7197 11571\n4031 4210\n4705 13247\n7620 15929\n6942 16349\n4442 10787\n384 13355\n2478 17257\n2671 9026\n518 6937\n1256 1468\n8565 9946\n353 4728\n6280 9408\n13720 16671\n2938 4600\n5694 8582\n15809 17418\n7027 7209\n7712 10968\n3957 10506\n614 16952\n2673 7968\n2257 4050\n7753 8186\n8959 16136\n13752 14784\n9364 16311\n11861 16398\n5151 11644\n3036 8749\n559 10973\n719 10571\n2311 7496\n5114 17306\n6244 13380\n9099 10392\n1247 15525\n5112 17215\n5548 7696\n12542 13869\n254 13570\n21 8541\n6910 9294\n3266 5410\n4447 10192\n3232 6322\n2272 7962\n7559 11801\n2095 13351\n4798 14928\n13406 15869\n5133 7771\n4350 12316\n4443 11841\n11528 14199\n8751 15499\n3478 4674\n4004 16480\n2074 15559\n419 3979\n330 1948\n264 15601\n10134 10955\n2951 5701\n11085 12455\n969 15453\n8119 10773\n7303 11777\n7272 9193\n2220 6249\n1375 4137\n5883 11874\n6592 10534\n3432 5949\n1557 16324\n515 11628\n8878 10967\n4607 14289\n10617 14971\n5283 12858\n2022 11802\n4745 11157\n13498 14635\n5360 7407\n1367 11188\n3580 12371\n6751 16525\n1117 8248\n9540 10216\n9571 9700\n3951 5696\n8793 14581\n10841 12792\n14844 15574\n15456 16510\n6253 11753\n10748 15071\n10175 16914\n4371 9145\n2440 4861\n8870 9244\n9028 16672\n8939 11888\n4162 5962\n6489 15755\n5858 11450\n1522 8909\n1199 12691\n1046 6267\n4970 8813\n15512 15946\n391 7861\n2937 16890\n11644 16313\n4844 13351\n869 7910\n547 14322\n12161 16578\n8172 11819\n15001 16511\n7911 10999\n5642 11662\n6693 9979\n12760 16018\n2033 17371\n7452 10773\n7632 10141\n1576 1672\n9020 14930\n804 8337\n2204 17278\n475 4721\n575 3273\n8167 13740\n9203 12192\n11910 14317\n14324 15072\n11599 13928\n8207 14681\n10177 14143\n8207 15469\n9017 16514\n10934 13272\n4132 11457\n2198 11775\n10868 14036\n5175 6317\n765 10443\n4253 15663\n4108 14932\n4758 15513\n5872 10816\n3600 12573\n2651 14465\n14469 16062\n5186 14752\n13889 16483\n72 9360\n1660 15633\n1647 16184\n15324 17308\n2404 5193\n8494 14198\n5106 8904\n3821 11202\n16383 16910\n7927 12767\n3454 6702\n5136 10716\n4687 7859\n2026 11247\n5374 7363\n6844 17103\n6960 14060\n10284 12882\n6533 12674\n2072 6620\n5588 7640\n1542 15585\n11457 16980\n4043 4466\n7580 14234\n2078 2582\n7048 10027\n4191 10202\n2525 16255\n11140 15832\n3206 4056\n4888 11524\n10370 12396\n5554 9782\n11878 15523\n3380 16901\n9189 12656\n9101 17066\n363 2804\n1465 8323\n833 16444\n4032 9277\n3677 16510\n10010 10805\n8158 14496\n2931 11214\n4383 5658\n8017 14295\n2868 14305\n1230 13422\n5356 15844\n2973 6148\n14011 16263\n9924 10188\n3039 10934\n4864 12118\n959 6479\n1435 5006\n2244 6557\n11237 14522\n11905 14890\n5977 8678\n6336 14989\n950 7898\n800 3275\n2723 5484\n8723 11708\n740 5513\n11012 16078\n4900 10273\n4950 17127\n9088 15610\n2115 4752\n9841 12269\n8487 9516\n1918 2772\n13396 15379\n6509 16455\n4818 15515\n1221 15402\n2348 9326\n4274 14528\n9752 10265\n1838 13968\n2411 15959\n1147 2972\n4300 16783\n8996 15872\n4457 12987\n7323 13499\n5024 11134\n4513 15914\n8884 13241\n5405 14406\n1368 14530\n8569 17291\n2655 13668\n2203 11859\n3555 15642\n1944 12964\n2120 4827\n11010 15937\n6608 16209\n3935 8691\n1815 4190\n9551 14119\n4258 12916\n1581 6478\n6060 9283\n6799 7935\n1164 14671\n364 15152\n9388 9847\n3148 9433\n520 6133\n4364 13184\n3710 10620\n892 6491\n6214 6805\n7028 13259\n2765 13555\n519 5129\n3602 15064\n12411 15666\n3540 10206\n6410 15179\n7826 9014\n4717 5560\n14395 15015\n1573 14379\n211 2757\n4196 9833\n7284 15359\n4309 12317\n1838 14272\n593 2595\n80 13835\n6809 13719\n915 8483\n9968 16699\n1842 15431\n2787 8786\n7509 14829\n4682 5052\n15302 15408\n7168 17430\n11990 15734\n11185 13706\n10841 16472\n9745 11581\n7105 8374\n4635 15683\n4747 11880\n8643 17024\n3177 5013\n2842 16575\n710 16268\n2359 3404\n10780 12720\n285 10048\n1978 5614\n7277 15128\n1199 3188\n6643 9837\n3751 4456\n169 13345\n1466 6212\n426 6185\n1299 8849\n9236 13470\n6842 16668\n8212 16841\n11956 15739\n7167 14042\n11490 11653\n3788 6392\n12950 15396\n954 11893\n9962 12793\n4863 9521\n3993 8067\n6121 9838\n14237 15744\n770 4958\n9489 11119\n1121 5569\n2246 11466\n52 1055\n5862 7355\n3022 7112\n11363 11949\n4556 12679\n3116 3585\n5320 6066\n1701 15423\n9325 16919\n3843 14401\n9350 11425\n6805 6942\n8974 15505\n6722 14486\n8991 12821\n3450 16802\n3286 10132\n4806 12018\n2893 15529\n10120 15437\n755 6098\n5912 7783\n13239 16165\n3083 10476\n5545 10283\n4136 7368\n10327 16088\n542 3101\n6647 17178\n7860 15268\n931 11360\n11590 17167\n6049 12550\n8419 15222\n6638 7170\n10057 12403\n1797 13772\n1984 11918\n4927 11393\n10025 16592\n8144 10155\n4465 14176\n11962 13624\n7887 15064\n4279 4575\n6327 11240\n1749 8403\n228 16626\n8112 16528\n3470 4524\n997 6594\n2896 9125\n3315 10301\n4653 13289\n2772 8505\n5876 14288\n1029 6286\n2203 4455\n4530 15406\n4556 15410\n6841 17077\n7033 11104\n9074 11896\n8901 16551\n3204 7369\n10542 12705\n243 1392\n4045 4788\n2167 10958\n3988 9890\n3394 9068\n5686 13388\n2455 9023\n823 15376\n9938 13962\n9890 14359\n1140 2322\n8600 12329\n884 15336\n2275 11439\n5535 10914\n4942 16728\n4318 16326\n9784 11497\n4024 4694\n6719 14326\n549 14351\n1596 8731\n6646 12704\n10744 11906\n7768 16337\n2369 5175\n4334 8859\n4049 5569\n236 9325\n11871 16060\n1217 4082\n8627 10038\n932 7439\n9609 16115\n1849 15422\n1695 8800\n681 3290\n4570 13639\n2652 13049\n5470 13497\n8672 12576\n5501 10634\n738 740\n3358 9344\n7178 17045\n1801 7231\n8290 13163\n4761 12833\n8384 15099\n1865 3791\n10915 15827\n4832 15488\n9957 15989\n11501 13697\n4611 14231\n8928 17046\n8846 14542\n2934 12618\n4340 9554\n1286 13306\n5143 14078\n1259 2927\n1677 8826\n7330 16499\n8562 10911\n796 3856\n2690 13120\n2269 6550\n11619 16244\n5159 12699\n493 13528\n4493 14375\n230 2983\n7558 13097\n8209 13807\n6910 14904\n3832 16144\n1869 7230\n15120 16733\n6778 14640\n3005 14307\n1269 15407\n2342 14539\n13083 14552\n3537 7348\n11132 14126\n1786 17430\n3358 6075\n3230 8373\n10875 15835\n296 11086\n526 11272\n6465 13520\n8034 12316\n4716 12981\n5664 15316\n9050 11651\n3870 7240\n2557 13743\n4062 7033\n2744 5737\n11776 14970\n2799 4981\n2013 3540\n5895 8459\n10680 14401\n3391 16610\n8534 11375\n9944 15490\n5238 16156\n10332 16654\n7224 12324\n6444 12703\n2788 11506\n9802 14879\n4341 15112\n2064 14219\n3594 16024\n747 13221\n8285 16770\n2768 14767\n5086 14954\n10734 15990\n14434 15947\n4010 16872\n1705 14036\n9244 12257\n9121 15661\n3551 5509\n10699 15055\n8966 11168\n10237 12860\n6517 15268\n1553 6092\n460 16171\n84 7165\n3020 14606\n7435 11964\n2484 8744\n3292 12506\n4999 11831\n8903 12131\n1787 14088\n9316 14054\n2570 6530\n9362 15801\n3348 15919\n895 8687\n11206 11582\n794 8624\n9048 11588\n12701 13340\n694 14914\n6005 11421\n8883 13765\n2479 6244\n5302 11340\n3169 14271\n6394 15820\n1654 15474\n1109 11234\n8855 15791\n7478 11146\n7493 9571\n9916 11641\n3690 9640\n733 13305\n7779 9158\n1024 7137\n6664 11303\n14981 17088\n10226 13034\n671 5484\n459 5028\n8958 12242\n7663 12911\n1414 14397\n4581 11478\n10951 12508\n6013 14938\n9985 10067\n2447 5666\n62 13862\n9624 10782\n4665 11664\n1479 14105\n5540 7983\n5423 5914\n12060 13844\n7132 15397\n1886 16844\n8600 12958\n6875 11008\n10143 10205\n8270 16214\n1174 2741\n3654 5818\n2022 9736\n3687 13693\n6646 13519\n5296 12677\n1362 1664\n5429 6206\n8412 13695\n7158 8231\n3521 13573\n1167 14329\n1821 6788\n207 9342\n13630 13853\n1025 7460\n4347 4795\n10847 13192\n14684 16194\n74 12399\n8947 10508\n522 2795\n14750 15813\n3091 6972\n5867 15070\n15589 15911\n10565 14011\n10793 12987\n6588 16505\n911 16062\n2192 3234\n4706 6870\n2163 10261\n9404 11190\n7114 14933\n5549 10584\n6741 9497\n1985 8695\n2349 12910\n4209 16066\n4319 5984\n10859 14011\n14318 17356\n5642 11395\n8947 12334\n142 376\n5704 13101\n5904 17090\n2412 7487\n1803 10495\n4775 8198\n2266 6441\n11611 17447\n10614 15906\n2035 2174\n1286 9466\n5832 13246\n16366 16587\n9083 14134\n14269 15906\n1362 16344\n2303 7540\n791 6898\n6842 10924\n934 4844\n4151 8382\n17171 17354\n12414 14637\n6354 12386\n2427 11845\n9656 10939\n12335 15996\n5625 15915\n3377 6770\n7937 14422\n6855 16439\n12323 17360\n6012 8532\n294 9554\n3862 9363\n9313 11558\n8815 9918\n3031 16706\n13977 16868\n12234 12374\n10437 12424\n14560 16574\n9364 16191\n3813 8256\n8424 15970\n5873 16774\n5831 13358\n10133 15340\n1081 6015\n2990 12880\n9261 13827\n6339 15566\n6703 14248\n482 14849\n11223 16514\n4838 14686\n1872 4705\n4809 6362\n1996 7202\n11698 12262\n6942 17145\n4708 6667\n7492 11182\n5495 11174\n12070 14450\n14393 17050\n264 555\n10536 12342\n7837 9424\n2284 13070\n7775 14884\n14424 15597\n2838 4018\n915 15793\n5769 6036\n2319 2767\n4799 15825\n10055 14751\n1204 5526\n6718 7506\n10879 14211\n4769 17178\n8645 12630\n209 2425\n928 11557\n3735 14333\n9061 16750\n4701 5312\n6201 9507\n12281 17014\n4823 13479\n914 16065\n7094 9311\n6323 9739\n13651 14400\n9356 12142\n4267 5053\n9643 15241\n1395 1555\n12600 12722\n13721 14231\n5892 7440\n5603 5860\n6864 11189\n1772 7925\n2290 9904\n1474 3683\n7706 10824\n727 9510\n1651 11777\n5877 7130\n4095 9220\n1845 6674\n813 7269\n2572 10157\n13441 15981\n6702 13021\n2 11816\n13379 15808\n11779 13940\n5913 10887\n207 7007\n5170 15281\n4971 13552\n8986 14068\n1924 5964\n8860 10857\n8683 10255\n15044 16054\n548 15797\n6309 15193\n3193 10550\n4698 10623\n6444 16582\n299 8119\n9662 16672\n9013 14132\n3389 14632\n798 1163\n3105 12852\n4354 11294\n2751 7066\n7712 9512\n6163 15018\n13735 13883\n4033 16012\n3005 10349\n3379 5527\n7856 13380\n8248 9341\n2202 6250\n9889 10719\n10212 14737\n5413 7776\n1639 5580\n5126 15463\n1898 9104\n2142 13749\n8194 9559\n2917 11274\n280 10274\n8265 10058\n9047 13282\n5208 13233\n1065 4127\n3068 14008\n2560 15248\n4153 8854\n10530 15305\n14725 16243\n1347 15713\n10496 15870\n4092 15312\n3161 10749\n8531 15638\n2079 16516\n6720 16520\n2295 8241\n8402 16411\n4825 16165\n8566 11407\n5651 7817\n7293 7948\n5426 15919\n3929 13832\n7813 11572\n608 12988\n10488 13370\n2946 6139\n740 4529\n3791 16528\n1728 13503\n1613 15383\n4096 12305\n2103 13330\n11975 14652\n1673 7838\n4456 11322\n11273 17193\n109 4986\n4953 13871\n5193 8845\n4765 17109\n6129 10585\n6973 11941\n12152 16599\n2051 12740\n4491 13828\n3573 12848\n911 7747\n10478 10664\n11790 17061\n55 6934\n6303 16042\n731 10440\n14528 14937\n1475 1953\n11164 14363\n7949 10114\n11344 11721\n8513 14126\n14710 16103\n7098 16534\n2516 14443\n9409 12741\n1204 8267\n7564 15351\n4681 6739\n6598 12443\n240 642\n5138 11508\n3446 16328\n8120 16261\n3868 10995\n11141 13448\n59 6006\n2994 8789\n13027 14878\n1821 11574\n3894 14350\n3573 14253\n6888 14346\n1067 8343\n7999 14778\n4344 13363\n598 2856\n11408 11491\n13191 13763\n1966 13153\n11209 16313\n4015 16510\n8211 8829\n15194 16193\n6188 14471\n14936 16998\n2648 16165\n6999 12620\n9403 16358\n8430 8606\n2888 13679\n13505 15325\n10142 12111\n11488 15807\n5006 5205\n2603 14858\n260 4802\n3710 16036\n7380 10071\n2934 4392\n11882 15955\n7875 10685\n504 8750\n937 7121\n6179 13335\n998 6568\n5421 12084\n7744 10852\n1245 9343\n595 17304\n7936 10406\n1173 4914\n8993 13840\n4293 13679\n13239 17046\n8387 11895\n10131 16161\n2135 13716\n9037 15633\n9664 10168\n169 9253\n11216 14977\n8561 9866\n11766 12410\n13596 15351\n2122 6104\n9506 15355\n324 13229\n9960 10090\n2583 11478\n432 14049\n46 11904\n9794 17019\n2840 11610\n3018 9172\n5743 14208\n3892 4818\n7573 17406\n1873 14230\n4772 12930\n12932 14882\n7856 10481\n2138 10182\n10757 16753\n12421 15788\n1206 3767\n7448 11252\n2175 13873\n4156 14173\n12457 13449\n5797 9263\n8072 13687\n4031 15547\n6689 12275\n704 8551\n1892 11883\n637 4757\n13245 16648\n7403 17281\n1324 13852\n11236 16109\n9653 12873\n10034 12779\n4624 17394\n8042 15274\n8109 12835\n2870 17119\n323 8358\n3260 9973\n3545 13977\n8835 10948\n961 11159\n6886 11800\n4472 4694\n13864 14375\n1719 9113\n4240 13104\n4136 5067\n7021 7450\n1684 11468\n3614 10533\n8359 14633\n7094 17294\n6142 6454\n15192 15767\n7013 7882\n1512 4803\n2079 9961\n3960 11760\n6117 11906\n5280 9512\n2251 16083\n2919 16826\n13428 16211\n7737 10578\n2350 9096\n7633 12954\n887 8768\n3346 8532\n2862 15212\n7299 12044\n5271 10593\n5434 13016\n841 15218\n8772 10109\n3439 9346\n5894 16281\n81 8642\n5164 12393\n10006 14608\n7917 11317\n11585 12798\n4361 13617\n11634 14095\n522 5615\n9848 13540\n948 4910\n4327 6371\n1232 9105\n6830 10252\n945 8914\n101 12328\n4271 6589\n5170 7226\n6963 7544\n5808 15534\n3745 10153\n3904 10572\n3149 13024\n1502 4196\n2611 3398\n1391 12544\n8756 12704\n10102 12873\n13771 17070\n4330 16244\n1103 11732\n2369 8699\n6795 17287\n85 12330\n3225 16278\n6539 13942\n3758 15662\n3573 10780\n2267 3598\n6494 10581\n1245 10346\n5313 13220\n1797 6208\n804 15060\n3907 16657\n11570 14174\n14494 15650\n13731 16418\n3541 16892\n764 6200\n5450 11833\n8775 12656\n950 8121\n12580 14645\n11861 17229\n7665 16557\n5467 15268\n4283 15192\n1370 11883\n12632 13659\n7446 17369\n13192 14548\n776 4298\n2907 14673\n15540 16710\n1406 8138\n6530 12819\n8294 11558\n14907 16886\n7146 16038\n3035 5666\n8874 11841\n6162 12419\n7080 9378\n335 6969\n10218 10521\n2621 11798\n7379 12675\n8721 13697\n6425 13194\n13315 15253\n6217 15883\n1528 8837\n15228 17032\n1192 4350\n3394 7150\n9657 17117\n11432 13171\n712 13839\n13358 14764\n3513 6864\n1129 7473\n3217 12011\n15109 15680\n2888 3281\n14830 16067\n2894 10597\n10126 16046\n7819 13636\n727 8907\n2730 14382\n1826 13583\n8810 10287\n539 1548\n2024 2391\n13898 14560\n3354 10455\n13145 16920\n1712 7161\n12384 13174\n2435 10621\n5177 11065\n4493 17201\n2100 17015\n9028 10352\n5084 8010\n3589 4899\n981 2116\n4870 17323\n8645 15196\n10918 16086\n1135 6354\n3785 9789\n7161 7551\n1585 16260\n14082 15755\n4685 12825\n2416 4850\n2335 7086\n2216 4668\n7438 14081\n13408 15550\n2849 6478\n2195 5979\n2026 12964\n6476 13494\n1934 17084\n2106 9005\n4647 16948\n1398 15200\n11997 13469\n3193 16820\n722 15700\n13508 16197\n3355 9901\n3205 10773\n7393 14737\n5520 5834\n1359 15170\n2461 16278\n3022 10711\n4992 8683\n6527 14044\n2557 5694\n219 1580\n4293 5091\n7267 14898\n8436 11480\n169 10395\n6442 16944\n12235 14970\n5685 6024\n3599 6306\n1828 13991\n1618 9678\n7813 8082\n1057 13659\n8984 9108\n14464 16605\n6280 12090\n6738 11919\n5457 15484\n9156 16241\n16001 16170\n7340 8842\n15199 17320\n3162 6347\n1433 5718\n14155 14951\n8661 11139\n16112 16623\n4766 10655\n6014 14454\n4204 8931\n1235 4028\n10928 15826\n10905 14443\n9034 11320\n448 8027\n6521 10506\n598 13755\n13147 14701\n5043 14893\n620 2424\n12181 13039\n1081 15285\n5951 13500\n1764 9600\n2036 3828\n12801 13205\n3406 7336\n757 12990\n6720 9110\n4758 12795\n7863 9301\n97 907\n5247 17126\n6673 15758\n6018 14606\n1220 15451\n775 16928\n8990 10671\n3525 9239\n7487 14112\n4452 15745\n1930 11280\n2444 7679\n12503 15030\n4439 10077\n10020 13189\n5710 11244\n2198 5564\n5051 8038\n2765 15355\n920 7737\n167 3477\n10251 13218\n4278 8638\n13241 14223\n456 16694\n11153 15882\n3127 12858\n7751 11758\n2901 12230\n2626 4592\n212 15628\n8732 10553\n5016 5522\n5221 11516\n11905 13151\n2086 15435\n10019 14952\n2865 9727\n2544 14836\n4894 6972\n1136 3555\n833 17193\n993 2546\n9397 11870\n3519 4301\n1421 6746\n10133 13776\n5478 12392\n4760 9175\n594 3315\n4444 13186\n4871 14803\n3308 4061\n596 16111\n12262 13422\n149 12093\n6529 6864\n4786 16923\n800 8916\n1479 1824\n9645 14640\n13182 15045\n5814 17239\n2209 16161\n8571 15630\n13623 16152\n1238 1283\n9367 16720\n2070 11486\n796 14054\n2158 14032\n15406 15895\n1738 11730\n7779 13719\n11496 17147\n5363 11443\n2296 16351\n2493 3477\n9119 11031\n5136 10204\n12642 14694\n5609 8480\n2275 5431\n618 1556\n3390 15154\n4744 13178\n15465 17428\n6376 13407\n11060 17342\n6056 6683\n3257 12601\n2061 12708\n4944 13966\n2314 7208\n3234 11506\n3302 11807\n6017 6331\n3581 4244\n913 9619\n11135 13494\n7400 13611\n4906 12997\n3562 9322\n3685 9453\n8590 13785\n8462 16219\n11013 16167\n4750 10234\n15496 16635\n14791 16102\n12285 16403\n9576 14585\n832 16599\n7838 16591\n4554 15885\n6381 7700\n11971 15637\n5589 8196\n12462 14646\n4362 4792\n5649 16807\n4689 14639\n2070 6634\n3376 10707\n1083 10842\n4330 9597\n8775 9757\n14675 16224\n131 6382\n1644 9761\n4204 13338\n9562 9572\n937 11699\n7398 8383\n216 16801\n4631 14263\n7268 13154\n6208 13916\n1560 10832\n2864 14295\n9386 13238\n14225 17385\n281 14518\n5209 12301\n4646 6065\n2511 5119\n2253 3944\n7498 16173\n8786 11062\n1356 14452\n11458 17272\n11500 17011\n1475 8799\n3809 16514\n3161 3740\n1071 1093\n811 6362\n4296 11847\n5330 17167\n7851 17358\n2694 8764\n3169 7534\n2743 7355\n4238 11778\n9385 12271\n6427 13470\n12908 17170\n11855 15640\n12843 13322\n2127 10365\n16059 17238\n4652 13788\n2181 10744\n8647 15419\n1221 9501\n14562 16819\n11647 13368\n1306 16343\n10013 10473\n11197 15595\n434 772\n300 5760\n2066 15217\n11121 15857\n13875 15666\n4284 10586\n2560 4288\n8494 9724\n6303 8349\n10823 15865\n11175 13153\n2603 16174\n2491 8138\n5046 6128\n1150 15136\n512 5135\n8731 8753\n12072 13995\n4818 11267\n5433 17159\n8764 13625\n4052 4602\n10245 13778\n9611 14120\n2559 8719\n5292 11881\n3136 7442\n11506 16077\n731 9275\n2158 12685\n6797 11542\n5345 10086\n1665 4362\n14159 16398\n8414 15769\n14521 15145\n543 4286\n6637 7287\n7861 15142\n1503 6430\n6290 8038\n957 9200\n7790 11497\n2204 7166\n5618 11876\n1339 7677\n134 6654\n3907 11265\n11456 14684\n14254 16240\n3499 13879\n1159 7349\n1511 5952\n2846 9880\n13678 16794\n10237 15866\n5256 8194\n6359 9940\n11970 12082\n5974 9594\n2844 13003\n2105 7221\n7652 17416\n957 3314\n1363 2368\n1388 16740\n13405 17391\n5556 11908\n11330 15258\n8105 9711\n1562 17071\n5700 5732\n8946 17415\n6811 12372\n10582 17387\n2166 10969\n1768 12050\n4257 12146\n9160 15603\n14682 17263\n3770 15806\n5766 6465\n8344 12540\n11252 12626\n9983 14503\n5514 13127\n6748 13780\n6776 8156\n14401 15050\n12404 15443\n576 15455\n8991 11968\n6921 9527\n7829 10548\n1255 2810\n5395 5749\n306 9932\n3429 4780\n11295 17319\n8053 9182\n4813 14549\n2211 13387\n3028 10120\n7228 13397\n5263 16116\n10566 11497\n997 6715\n2932 16964\n4000 16091\n4868 8507\n6836 10672\n14661 15607\n6356 16051\n7179 8221\n4113 7456\n2600 11403\n13086 15852\n2554 8572\n5291 13474\n7491 10866\n9536 11044\n1434 3131\n5303 7637\n4331 13787\n3880 4405\n7683 12730\n6191 11193\n9853 11317\n5215 8355\n2053 4743\n143 13668\n2578 8465\n6989 10793\n9892 11811\n10864 13355\n13755 14871\n579 11420\n11236 13965\n4970 15035\n12106 15221\n1595 9653\n4377 10114\n7802 11738\n13747 14408\n9881 12616\n9550 12792\n3954 4646\n226 11743\n8908 11592\n2188 13549\n7189 8903\n23 10458\n12932 16746\n5160 16730\n427 5062\n24 300\n5524 13859\n6792 7153\n12565 13789\n2046 2587\n9593 17229\n9141 15080\n1850 12933\n3618 11537\n3658 9520\n7719 11387\n12788 15547\n8261 14268\n11606 15571\n2257 16672\n12474 17312\n9859 14048\n8910 14823\n6573 15027\n9205 11586\n3752 12594\n11959 14280\n14459 16383\n1705 11770\n637 1737\n310 12538\n5219 16683\n4502 5996\n7599 14812\n3189 13179\n1987 9365\n13555 17105\n7290 9256\n1609 8649\n5446 13069\n635 6211\n3586 4244\n12101 13845\n9448 17232\n8499 14890\n1482 16072\n2938 7197\n6200 7113\n8689 10592\n14990 17019\n6782 9677\n11463 15325\n5797 10345\n1992 2767\n4115 8459\n5302 12265\n3885 10454\n3063 7830\n337 17085\n10351 11631\n11620 16288\n11062 14736\n6574 11428\n2114 10551\n4413 14419\n5226 8283\n3247 10104\n5845 12812\n382 6659\n939 2497\n2273 10950\n260 4950\n5347 13702\n772 2699\n7223 17185\n13225 15926\n8508 17159\n4872 9270\n4660 8265\n7057 16019\n1342 6912\n3043 13071\n5644 16036\n6280 13357\n8199 15639\n10592 16386\n6533 6588\n10759 16762\n11885 17215\n1225 8396\n2944 8044\n9060 14862\n8503 15540\n5667 11784\n5404 8580\n4735 5398\n156 9291\n6553 7795\n11193 12831\n10305 14483\n1513 3081\n10107 14610\n4537 8345\n8284 16717\n5364 11754\n1464 10295\n6564 14233\n813 4560\n8246 15745\n7899 16992\n7417 14630\n251 8778\n12873 14492\n1378 4513\n5095 9596\n8198 10550\n6335 15309\n3904 17419\n2998 16427\n13478 17344\n6607 6710\n1713 4320\n8556 14102\n2590 8436\n5598 6553\n12975 14068\n6300 6810\n7085 15951\n4414 13109\n8128 15668\n6798 13170\n2885 4582\n4926 6738\n5188 7378\n5195 13102\n4630 7825\n1054 14576\n12157 16660\n360 10012\n237 375\n10072 14487\n238 3443\n6187 14022\n5345 10723\n6271 17099\n7758 14520\n5488 7307\n8153 16974\n3144 12651\n978 8945\n1094 10278\n2568 11793\n581 2590\n7065 15991\n14887 14908\n9272 16213\n645 11433\n14842 16142\n3944 13073\n4681 17328\n6619 17461\n7376 13476\n5756 10281\n2683 10549\n1428 16415\n2192 16358\n1181 5918\n2429 13376\n2079 12499\n4711 9803\n3368 11736\n212 5754\n1170 11711\n7267 16866\n3235 7415\n2309 9395\n11730 15414\n16905 17405\n1395 12757\n6815 15881\n2185 11393\n1375 13405\n9948 12340\n8655 13337\n2807 10601\n6359 14644\n16283 17268\n3694 17271\n3102 15694\n337 8851\n4884 5863\n2036 14124\n1635 2789\n6546 15663\n7193 17005\n2562 13643\n317 5379\n3394 9181\n1030 15348\n13241 13434\n5825 13299\n3050 8496\n4830 13361\n12792 16201\n2485 6417\n101 1656\n1572 7942\n268 14969\n6967 12488\n6191 12133\n541 5468\n15064 17137\n5846 9692\n2310 16907\n9290 16173\n9763 14325\n267 5729\n10291 11009\n12823 15411\n2036 14608\n5832 15580\n5941 10034\n2529 15289\n623 12088\n5988 9478\n6505 7185\n4908 16069\n2646 9397\n11108 17376\n9717 11861\n7403 9197\n1094 9053\n7918 11102\n8894 12593\n5106 14679\n5240 5516\n12957 13636\n5828 15842\n540 12231\n1076 7154\n1457 10980\n7381 9967\n317 14067\n10802 14385\n3743 13126\n9000 11917\n6776 16580\n2407 6066\n8557 13401\n10255 10501\n9605 12705\n6094 14885\n2817 4508\n6187 16552\n4370 4720\n1603 8247\n13037 16215\n1979 15352\n9669 17111\n5062 16048\n2729 5925\n9381 9867\n4802 12026\n7400 7576\n7378 15626\n6902 16526\n1236 14420\n4296 11196\n10092 10293\n9376 15532\n16978 17426\n4419 9507\n2902 6335\n8209 11347\n200 14193\n5106 15555\n7045 11329\n10186 17175\n7234 10579\n13546 16483\n900 16227\n10645 16121\n716 12323\n13437 13725\n10885 17082\n15421 17185\n45 12526\n356 10465\n6951 15540\n4583 6232\n14176 16909\n12336 16744\n3635 7609\n16353 16682\n8602 14104\n5025 11120\n6790 15477\n79 13416\n3351 16386\n1585 12750\n3110 4826\n1631 4281\n5515 17097\n10076 11618\n5830 15467\n6573 17333\n2509 16403\n2397 5932\n4486 12091\n7004 15423\n5585 13247\n296 12033\n11184 13153\n6918 13790\n3267 15969\n1344 2421\n2168 7217\n7402 11665\n8486 11739\n7130 10882\n4518 12762\n1317 13052\n8353 9410\n4520 11193\n836 4629\n1661 5405\n13451 16359\n4697 17419\n6495 8550\n8775 12685\n9333 16431\n7876 14314\n509 13109\n2466 11663\n1047 15918\n3209 14260\n13580 16330\n10186 16342\n3394 10974\n3388 8154\n216 16134\n3339 9805\n3967 9937\n4760 8160\n5874 14574\n11507 11898\n3971 15546\n7806 9566\n2236 13003\n3373 10061\n2611 5346\n13546 15817\n7510 15438\n3820 8210\n8658 9171\n7759 8772\n2426 6424\n8734 11998\n8948 12517\n1713 5496\n2933 3641\n4960 6736\n274 6641\n5068 9069\n4805 8491\n10040 15599\n8907 9068\n2328 9549\n3112 7003\n4549 5467\n3677 16640\n1907 11726\n8114 12689\n5327 15621\n6221 7609\n15882 16015\n1745 2383\n11750 16534\n5925 15211\n6083 10604\n4979 17074\n15446 16365\n10913 10984\n3420 13039\n7569 17417\n7507 9516\n2816 16536\n14354 15700\n8311 9761\n5619 7857\n4655 12533\n644 4807\n7284 9121\n1134 2020\n8192 14465\n5480 16948\n6400 15597\n2959 4882\n6015 6580\n4949 7145\n5796 13324\n4752 9295\n12653 12890\n2515 14776\n2197 13040\n1515 10830\n2784 9605\n12557 16021\n3517 13018\n2699 5551\n214 1572\n766 2840\n3749 9342\n7766 15928\n1706 4417\n14400 16718\n3093 14037\n11216 11858\n517 14782\n12054 16907\n5592 14710\n3804 14880\n2505 4213\n13642 14214\n10811 15887\n6302 7888\n5342 5850\n4305 13207\n7785 11966\n11179 13189\n16761 17364\n9123 15122\n4842 8746\n2045 16943\n917 14744\n5829 12881\n13251 15977\n5096 14212\n250 5725\n7493 8128\n8160 12108\n6411 9733\n1094 14011\n2022 2053\n8299 16696\n4263 15000\n10448 14308\n546 8197\n3108 7478\n4432 9393\n4574 12052\n9859 16859\n1748 10267\n1355 4138\n325 3608\n2294 12888\n3405 4162\n10676 16778\n3699 13589\n3080 17357\n6516 15125\n8672 17087\n6311 16086\n4332 8291\n11417 11428\n1882 3541\n4782 15239\n2430 11740\n8217 12005\n7692 9012\n12612 12843\n1193 1361\n7532 12988\n5233 11483\n818 15600\n10982 11037\n2943 5524\n8944 13806\n1192 5538\n5200 17183\n2933 17299\n11143 15491\n2740 15710\n6135 15855\n1635 8507\n8988 16166\n5912 11066\n12350 12860\n5922 16548\n4325 16957\n608 4542\n106 1955\n9116 9768\n1398 12224\n4714 10661\n4047 17334\n6365 14607\n2077 17226\n8257 9610\n15883 17070\n4760 13749\n11951 14883\n744 1887\n12449 12811\n4826 5096\n203 10954\n11088 15866\n4215 12079\n12364 17354\n342 14986\n8685 15274\n1109 3445\n58 16596\n16245 17391\n6931 10390\n422 16250\n8107 11449\n3875 7561\n9996 13435\n11914 13241\n3631 7913\n5250 6143\n8382 11046\n1809 6652\n6821 7956\n3662 14540\n8404 14865\n7430 14139\n6037 12115\n2918 9119\n1324 11400\n4000 14962\n7626 14898\n8687 10903\n5680 14574\n11532 15605\n4816 6927\n12995 15547\n3322 16033\n3275 11608\n3199 11729\n6537 15327\n1163 7091\n10374 16204\n3414 17328\n12216 14370\n3054 12037\n3370 14871\n4871 6680\n10213 14198\n5865 9041\n3600 5219\n1555 11996\n12678 15194\n4968 15948\n4719 7996\n15199 17203\n5541 5664\n3665 7521\n9412 11169\n12989 16197\n1925 9920\n6880 14614\n5342 9454\n864 14746\n1598 15487\n1672 1997\n884 13909\n4433 6918\n10006 15976\n4613 12566\n6537 9830\n4662 7668\n2352 14907\n868 1518\n13410 14638\n5223 17171\n13793 15582\n1220 12162\n5202 14213\n5811 12050\n4722 15358\n2821 16818\n8444 8819\n13667 15290\n13129 17035\n8821 13570\n191 15235\n2374 3101\n5793 7464\n4409 13508\n2747 5896\n6498 10766\n3151 16596\n205 4922\n11116 14039\n2027 14759\n3267 10874\n10089 11915\n502 6970\n13708 17051\n6405 11385\n12460 12546\n577 7020\n5097 14091\n71 12434\n1032 3301\n1017 11229\n10129 16750\n880 13337\n14102 15084\n5123 15823\n1945 3205\n923 14513\n7050 9782\n478 4499\n11304 11557\n1060 1956\n281 13354\n511 14214\n10787 17412\n1401 5868\n14075 16372\n3398 11402\n736 7846\n7577 10641\n2325 15841\n7094 16933\n2806 13380\n3034 4120\n7774 8994\n9024 15462\n4489 5671\n6738 13434\n1451 12867\n1667 10186\n3425 12352\n4076 17322\n1871 10419\n8075 13239\n8903 13106\n9100 12449\n9332 11615\n10515 12621\n12101 16691\n1720 14669\n7545 8319\n10821 15624\n7053 14112\n10053 11856\n3134 8780\n1982 13824\n111 14309\n3367 15885\n4790 15720\n11096 11156\n2866 5332\n8215 13347\n441 6779\n12574 13195\n6048 15343\n1104 3139\n8228 10279\n405 7621\n4497 10077\n3168 16552\n12659 14535\n579 4072\n7333 13859\n10995 13860\n1587 12450\n747 14997\n13279 17124\n7900 16953\n3954 17059\n521 4390\n4452 9078\n2808 15590\n315 6903\n4869 16493\n11350 12758\n9 2233\n8329 9112\n6682 16239\n6571 11521\n1062 17311\n7157 15562\n4213 6097\n11912 12777\n12121 15011\n4671 16733\n14472 15107\n1618 11213\n8212 11314\n6056 6447\n1993 14762\n1100 6986\n3078 4799\n5989 15993\n2127 9677\n4719 4900\n11655 15015\n1128 15380\n11519 13921\n13155 17095\n10368 12895\n2494 4486\n4914 6214\n2240 13660\n43 5197\n8393 12227\n4354 12944\n7576 7738\n14396 15159\n2121 16893\n1609 6523\n4271 5814\n614 16823\n8380 8798\n3410 14337\n4027 8199\n16750 17062\n4541 7169\n7239 12115\n11159 16288\n12842 13785\n7957 15174\n3664 11020\n6380 7791\n2646 8438\n4034 10063\n8108 9769\n8360 13391\n4151 6555\n2625 13335\n2801 8150\n3881 12946\n2789 16570\n9891 10503\n1465 6032\n2840 16848\n15615 16174\n10468 16862\n9995 17100\n504 12994\n9348 10390\n3010 10042\n10866 15204\n7976 12195\n3868 6131\n10468 12167\n3763 15019\n1970 6226\n2972 9787\n1251 11164\n1926 8601\n6949 16907\n9942 13859\n3857 14953\n9076 13645\n9783 13031\n7113 11490\n10921 11285\n7616 9025\n10367 13424\n10177 16059\n4264 9547\n2953 13908\n4461 14411\n1705 7594\n3067 6174\n2307 5385\n8227 13941\n9314 12673\n2069 2723\n10374 16816\n89 13393\n4782 4920\n12617 16221\n5678 12598\n7002 10718\n467 3546\n15774 16778\n527 3118\n4510 5370\n2468 2696\n7933 10113\n5436 17431\n3435 8363\n7802 8603\n1168 2290\n9833 11655\n9495 17420\n2969 11049\n9575 14098\n4058 13006\n1175 7714\n2915 9043\n4045 8184\n3744 14247\n8430 11478\n1399 16755\n5095 13182\n8342 14516\n7627 16835\n2581 14547\n11971 13189\n3379 16552\n3549 16741\n2002 15525\n5464 5901\n6506 10389\n655 16690\n5776 13674\n1722 17243\n6516 10199\n4487 7722\n4511 15177\n4126 16590\n3708 13800\n6956 16563\n453 4246\n13409 16888\n9117 12210\n1546 4595\n9337 11632\n7080 14645\n13060 13616\n12292 12586\n3861 11702\n7859 14755\n14137 16124\n1102 15013\n11831 12897\n11789 16824\n8909 17016\n2221 8389\n6117 9287\n11219 12082\n8156 8744\n2420 4306\n8597 12436\n7970 9001\n12723 13711\n404 10434\n4950 7201\n1217 7518\n5875 15258\n7692 11733\n2155 7685\n2643 16231\n10962 14183\n509 7790\n4827 8883\n361 15726\n3544 12549\n8705 9093\n4851 11266\n1273 17002\n3166 10259\n6317 6746\n3534 16598\n5028 10726\n8350 12385\n4540 14618\n8909 13272\n8455 12247\n6835 13202\n13221 16804\n5280 16916\n3799 11004\n1423 9293\n6322 11073\n1144 15047\n2602 3614\n105 14612\n4344 9429\n5196 8851\n2062 17125\n3382 15960\n16284 17395\n13599 16804\n2548 8855\n6265 8533\n10663 17232\n3690 13451\n12049 14696\n11947 14224\n966 4469\n5511 15077\n9245 10592\n517 5309\n4356 4519\n10482 14671\n7396 17251\n1451 4337\n6111 15597\n14012 16917\n6337 14189\n10672 13165\n8218 13650\n9885 13715\n5564 14090\n883 8614\n10569 17181\n2363 11889\n7302 12228\n2734 3489\n2634 13652\n12992 13895\n6077 13105\n3370 10611\n275 7858\n6424 8868\n15345 16937\n198 1502\n5135 13375\n152 272\n11436 14695\n9417 13262\n10604 15757\n6114 17002\n10250 15328\n5392 11252\n7667 10075\n13006 16979\n3246 9458\n5397 11896\n10843 11987\n622 10934\n8418 13081\n9714 10402\n2677 5487\n3555 7334\n9706 12640\n9180 15107\n3543 5975\n3799 6999\n3263 13023\n14814 16956\n11942 17347\n12407 12421\n2196 13688\n1392 11075\n469 8109\n12559 14141\n3240 10687\n11364 12053\n4388 6836\n1565 11236\n1430 15122\n3689 4095\n7233 11937\n4619 16426\n15474 16035\n2031 10399\n5306 13287\n11565 17254\n7526 11218\n12312 14022\n7598 14474\n10303 12327\n597 10782\n7218 10102\n5818 15956\n2256 11425\n7148 10395\n3305 16172\n2442 11440\n14538 14850\n4983 16829\n1383 5958\n5157 5539\n36 1675\n3684 7505\n9588 10161\n13279 15805\n1313 3770\n1981 5475\n1018 4457\n16590 16755\n9977 10059\n8286 11715\n3954 6516\n4548 8341\n2554 8030\n624 5171\n9931 15143\n4382 10367\n7035 13837\n3611 7156\n704 4857\n2097 6772\n1157 8970\n6012 12151\n8969 12541\n4316 5274\n3792 13710\n5194 17061\n5839 9885\n345 2892\n3920 13986\n3831 11223\n14385 15324\n6468 16263\n7885 8818\n10357 16183\n2135 5926\n8713 16044\n12012 16254\n13539 17355\n8968 16991\n398 3589\n115 4939\n3743 11724\n5719 13776\n6626 13064\n802 9103\n5932 16500\n1425 15327\n7065 17437\n12668 13134\n10612 16537\n5118 16914\n10030 11469\n15013 16628\n7919 15668\n7674 12715\n7184 12421\n2470 15633\n1121 6840\n14336 15293\n6687 17175\n10785 13170\n7427 10540\n2291 8886\n1021 2963\n7031 9761\n3725 13508\n3282 16462\n10069 16634\n2194 9173\n9914 12692\n1411 17324\n4674 5170\n8476 10357\n5225 8582\n1678 2951\n7577 13826\n4935 5580\n16193 16714\n9650 15964\n14551 17131\n16754 16918\n9578 12913\n7858 17414\n4857 10956\n3394 7226\n1192 5780\n15852 16223\n8524 9160\n1173 2186\n8573 11882\n3759 13800\n10114 14806\n1287 3072\n11104 16526\n13011 13669\n3709 10762\n1621 1732\n6242 13527\n8098 9912\n3205 11114\n1960 13427\n1987 9858\n10916 13409\n6906 11344\n9177 17074\n12827 15433\n7574 7741\n11097 13245\n5623 7344\n6701 13974\n2922 4053\n1311 5504\n14526 15928\n4061 12972\n8373 15835\n2473 14272\n8278 13098\n7043 11829\n7478 9298\n1318 4102\n9302 9760\n7791 11689\n6662 12879\n5134 14210\n15427 15741\n7554 12987\n4608 13201\n7055 16587\n7647 8132\n3613 4006\n1237 17096\n488 8113\n3818 6691\n5419 8719\n2135 16953\n6697 12263\n1153 14117\n4251 11613\n12988 16577\n9598 10105\n3488 15484\n915 6575\n4223 7335\n396 14333\n1449 12650\n8999 10801\n264 3239\n5729 17430\n1156 10640\n1198 3722\n14630 16530\n11224 17153\n7719 12274\n5377 11701\n1889 5350\n1286 8789\n5087 5177\n9458 9986\n9477 11523\n9048 12583\n7115 7978\n10904 15755\n26 10897\n13220 13387\n7312 16634\n2473 16798\n9782 15094\n9787 11619\n4102 8878\n3935 9041\n5887 9834\n15044 15240\n8700 16912\n533 17279\n7175 12732\n11783 15731\n3847 4177\n7672 16352\n8675 9852\n4990 10095\n1130 11465\n1286 13540\n10122 16505\n7798 12207\n9107 16473\n2549 5106\n4768 17387\n7168 15890\n3957 10730\n1998 17000\n4169 4490\n2815 15701\n12077 16216\n3334 14186\n5014 7251\n2746 9769\n5315 9515\n1616 2126\n5802 15883\n9464 14609\n8312 12556\n11635 15581\n8722 10074\n3804 16150\n10037 13305\n7022 8111\n7842 12014\n4541 10794\n1667 12468\n12525 16963\n2513 6359\n4423 13523\n6801 12887\n2282 4370\n9175 12701\n2078 16343\n8620 13081\n7899 16678\n4933 8946\n268 5482\n4150 12357\n7162 17104\n9508 14378\n2690 14381\n3317 5135\n561 3013\n430 17227\n4990 11245\n9698 15973\n12603 13844\n773 3217\n3231 8224\n8815 16486\n16419 16835\n3657 16478\n5132 9862\n15387 15685\n3509 14230\n6755 10262\n3505 4100\n8141 10076\n4777 10177\n7464 13158\n164 2916\n3396 8992\n11881 14714\n11510 16066\n3169 9197\n11938 14596\n10284 13703\n7924 11038\n3699 10234\n8801 12254\n7081 7250\n16406 17190\n2888 7176\n460 17431\n4367 8051\n10875 14465\n14360 14628\n1055 2405\n9000 10314\n7908 11527\n8466 8926\n13023 15562\n13608 13833\n6663 12018\n959 6170\n7391 16687\n1738 16139\n561 6826\n10651 12349\n2655 11600\n1651 14188\n2547 17422\n5623 14188\n15004 16534\n8861 9287\n708 8804\n2034 11847\n2217 3228\n10295 15116\n7571 12309\n5082 16408\n4793 12828\n9797 10114\n4798 11142\n3642 15159\n10387 15129\n2764 12119\n6635 12033\n1398 12420\n3138 16252\n8124 11896\n10041 16567\n9357 15752\n8714 17452\n791 11783\n7240 11779\n2469 8838\n12791 15262\n14417 16181\n11005 16094\n10138 12312\n15770 16140\n2286 4597\n151 10043\n9373 10672\n903 4737\n2907 10573\n5732 10585\n458 8192\n7141 11820\n5429 15375\n10283 12900\n2530 4873\n537 9957\n5349 9783\n739 4156\n12153 13359\n9442 11897\n573 6530\n8456 11564\n700 3065\n7063 9049\n7324 16919\n6255 16868\n5201 6362\n4988 16890\n5388 15615\n371 1422\n13252 14012\n3364 9358\n5075 6583\n5780 8020\n8756 10119\n5685 16115\n10799 16228\n1002 13601\n10723 12246\n4459 7527\n2367 7298\n2012 12902\n171 5860\n301 17167\n1897 11730\n3539 11144\n10074 16362\n4507 15491\n1340 7037\n9242 14879\n197 8605\n13971 16307\n3463 8650\n16099 16183\n3824 13683\n1050 13211\n3069 8975\n237 9366\n4430 10495\n6703 11461\n9203 16270\n1303 9346\n8168 15364\n810 9589\n10771 14649\n4561 7755\n5094 10108\n6569 10528\n6116 15936\n782 11534\n10813 13672\n1023 14547\n15647 16120\n4437 5335\n15033 17355\n14219 16625\n4631 13590\n1389 10597\n10493 12190\n5326 8052\n6199 14378\n6243 17456\n1020 16488\n10205 10808\n4448 13131\n3481 12117\n2146 14183\n8147 13035\n11077 15598\n12092 12534\n899 15860\n12368 13121\n5640 9096\n1984 8828\n3812 16219\n2863 4480\n95 3234\n9708 11501\n1994 7521\n127 1621\n2255 12826\n2366 6115\n10593 11489\n1549 11193\n3393 11919\n2823 3166\n5424 9804\n2416 8410\n12057 13023\n4384 13728\n9284 14967\n1963 9890\n4274 12740\n10285 15078\n8144 11333\n1754 2013\n7019 11146\n1990 12937\n5402 7948\n9591 12616\n4351 16830\n3655 13766\n2359 9110\n5834 8043\n3191 4185\n10947 13961\n5347 10075\n3365 6118\n3018 8551\n5633 5867\n3844 17306\n3543 9353\n4197 16981\n645 4455\n1065 11744\n7660 11913\n243 1376\n1427 17075\n407 17197\n3778 14589\n2014 10732\n3346 8364\n6748 10293\n7297 7923\n3898 5128\n8096 11531\n3472 11057\n2094 5928\n7165 12101\n10769 16736\n5412 13896\n1171 2888\n6014 15648\n1136 16517\n6921 14978\n5777 7082\n4301 12195\n2462 3366\n7623 8553\n10816 17182\n1804 6375\n310 10780\n4562 15500\n2083 8932\n1589 8583\n1975 15193\n595 2466\n5439 9440\n4864 6366\n548 10804\n6323 11629\n7873 7939\n10109 16604\n3095 5326\n10510 16730\n4482 9267\n415 14572\n2903 7157\n3203 4200\n3950 4770\n12050 15483\n10022 10112\n3797 5928\n5692 11525\n6332 6475\n595 11178\n79 17067\n545 9965\n7400 17010\n3526 8625\n9305 15834\n3477 5650\n6797 12527\n10758 16178\n9983 15582\n7989 16904\n2613 10759\n5587 16238\n9366 10067\n3751 13502\n4642 12623\n3750 5094\n6196 17075\n583 1494\n13362 14710\n7179 12281\n2175 7748\n8751 12289\n801 3139\n12515 15975\n2568 3245\n8439 15352\n4416 15365\n238 7176\n258 9164\n2944 13808\n11875 13385\n2354 4028\n8232 13514\n299 7565\n4531 5106\n3242 12419\n3382 15967\n3140 5903\n9994 12641\n6678 17047\n436 3144\n12133 13124\n9418 9699\n14602 15608\n40 1463\n752 3689\n10814 12778\n1048 14515\n6368 7082\n11726 15628\n3402 12673\n1050 4713\n166 5207\n10700 10743\n13800 16410\n3223 8867\n228 15231\n2563 2620\n16857 17299\n1007 14959\n9775 11319\n7116 14052\n7112 14860\n7687 11172\n1298 5916\n245 1948\n3766 7809\n6740 10721\n1664 16808\n11849 14301\n11995 13183\n8943 12742\n11146 12084\n7087 11946\n6970 12438\n14094 15096\n8814 15932\n6106 9484\n16110 16115\n4237 6868\n1981 12621\n2707 7393\n6772 8417\n7271 8347\n258 5491\n1311 8297\n6151 16015\n3004 4806\n16455 16956\n12644 13696\n8209 11824\n3269 3376\n9567 13141\n460 11675\n14255 14654\n6380 15643\n8659 16612\n5663 13186\n14650 16946\n3776 11288\n222 10123\n4817 6490\n390 13768\n3588 15425\n9258 16322\n7659 13551\n665 3491\n884 4079\n9142 13584\n6596 7246\n8608 15479\n3189 15089\n12442 14157\n1602 14489\n3892 10029\n4829 14968\n4088 14962\n2105 7935\n1234 17406\n2810 4996\n4565 9443\n8151 14808\n261 7397\n14351 14620\n13892 15655\n12021 14198\n1512 1527\n72 10945\n445 12107\n3803 7391\n8782 14806\n5945 11921\n10665 13525\n6201 16289\n2007 15345\n6226 9962\n290 17082\n1802 2506\n2049 6450\n5458 9619\n5645 13963\n12596 13633\n11 3645\n828 2779\n5871 8586\n8357 8977\n8182 10111\n1027 11711\n1803 11348\n9125 9630\n4941 13227\n2957 7016\n1128 8708\n1693 12372\n4793 14090\n14338 17361\n9064 17250\n6847 13150\n1155 3649\n13826 15670\n6534 9259\n1037 1954\n12008 12318\n6809 12577\n1196 17373\n2337 7669\n9393 11026\n6109 8590\n7834 12876\n3726 5841\n2679 11316\n235 511\n8481 12775\n11143 13570\n4373 11841\n1634 13624\n5699 10248\n4098 5943\n8692 13339\n2563 11422\n8865 13387\n6954 14113\n15497 17419\n2879 15026\n167 11620\n12268 13595\n3705 14901\n10362 12916\n8098 13403\n1540 13312\n6836 16013\n16486 16869\n11948 12441\n7229 15529\n3623 12337\n3105 12227\n1754 15172\n2218 9795\n4496 14246\n6837 12643\n11227 13037\n15619 16090\n6320 8130\n1195 11706\n1286 8757\n3602 10281\n3157 14479\n245 4580\n4048 7365\n2628 11706\n4727 14898\n12674 14709\n6832 11274\n7082 8775\n12031 14023\n10798 10905\n12495 14799\n2869 11177\n446 8799\n9549 10617\n719 4456\n2770 5492\n212 7331\n3838 10937\n4951 16406\n47 6634\n1426 3698\n6613 15385\n14843 16126\n5120 6694\n3362 10177\n1956 14965\n4027 4254\n6970 8986\n11001 14746\n8685 13650\n9393 15882\n238 17198\n9665 14108\n8289 14152\n4183 12335\n5043 9873\n11301 16272\n3561 15941\n5102 16432\n7840 9737\n5920 14525\n14557 16312\n1677 15935\n4930 16072\n8757 17160\n6432 16849\n597 7961\n13921 15299\n1181 6708\n1812 4546\n7921 15846\n8541 14974\n2957 3206\n4281 10600\n16112 16846\n1824 13770\n16440 16512\n6205 7808\n10813 13868\n6924 10420\n2072 8296\n1547 9276\n7281 8502\n6487 16349\n10797 12087\n7769 16368\n127 17005\n158 7863\n15733 15887\n4659 16761\n6654 11137\n3854 4926\n15723 17124\n485 4319\n1893 8205\n1542 16988\n7111 8379\n12731 17409\n4771 6974\n449 15119\n3191 12330\n5771 16565\n12398 14997\n12425 14944\n4946 15574\n12148 12568\n10114 17452\n10533 13006\n1017 15899\n828 7781\n6536 15817\n1653 7906\n5109 9520\n5288 16824\n11892 13703\n4141 12303\n3543 5893\n7267 11813\n316 5127\n9297 12328\n6009 11807\n531 2572\n3013 13701\n8944 9559\n4606 15814\n164 15450\n13132 16219\n1866 12234\n12118 14349\n4723 9603\n6831 7014\n7781 13409\n13846 15682\n6058 8906\n6425 12600\n5679 6388\n5227 16446\n7210 13824\n3129 5033\n2557 5743\n10820 11605\n5591 6414\n9272 17326\n6079 8223\n3883 15545\n13451 17084\n3407 8476\n12084 14652\n7864 10026\n3839 14190\n1742 4618\n3218 4914\n4223 8946\n3645 8981\n8514 9899\n5577 8274\n8580 14626\n796 5445\n1852 3563\n5979 12418\n59 13237\n7018 13606\n4624 10203\n14901 15414\n8571 15976\n3669 9681\n278 6923\n143 16870\n3966 12571\n4507 9891\n4577 7672\n3129 13344\n6128 14654\n5607 15985\n1946 7059\n1855 12184\n5218 8916\n3438 12961\n8308 8317\n4652 11834\n398 15441\n5458 7113\n7969 8101\n7652 8657\n1015 15624\n7934 16601\n9313 13341\n3795 7505\n10094 10251\n8702 12402\n3254 9174\n11439 17282\n2066 12474\n1034 1713\n11115 12274\n2012 3657\n4833 9668\n8473 17165\n10443 15462\n10428 10660\n7370 15066\n9913 15857\n15206 15450\n3882 9828\n9021 17166\n7615 14405\n10321 11211\n1549 14481\n3928 16093\n11997 16867\n2346 4774\n4483 16750\n1543 11210\n12927 16779\n4242 10822\n4033 11886\n521 7987\n5251 8076\n5159 9552\n1657 6252\n11893 12188\n10461 12664\n2026 15854\n44 11024\n13701 14798\n6675 13709\n11049 15541\n2570 6509\n7824 17335\n8163 12296\n2218 8621\n4141 7452\n8325 9602\n10700 13302\n11273 16827\n4742 6738\n8314 14436\n5719 7444\n5169 7744\n12545 13331\n1871 16199\n2016 14722\n199 1061\n13111 15870\n4863 9220\n7365 10147\n5015 15937\n5184 9751\n14670 15197\n2510 13874\n1772 15595\n4428 16792\n4732 17268\n7894 13371\n14105 17338\n8482 16473\n163 3377\n9312 17101\n3293 5348\n2804 6001\n690 13878\n6417 14534\n10037 14783\n2900 4479\n742 16548\n5162 17326\n7999 14501\n3104 13019\n2275 5872\n8159 8979\n2383 6177\n3055 3071\n3304 15218\n6730 14757\n2745 15043\n7924 14394\n6270 10767\n568 1325\n4528 7630\n4773 11790\n9157 12311\n1327 12590\n6921 12787\n16909 17187\n10412 15215\n266 5654\n681 770\n1019 6060\n11089 13230\n10311 11086\n1784 16203\n4547 14098\n7075 10498\n617 5880\n3560 12623\n7174 9357\n5508 7857\n2172 10338\n15835 15852\n60 15587\n15082 16912\n1857 7300\n8934 10637\n641 11972\n1462 10819\n7268 15444\n2723 16359\n16071 17090\n1871 3716\n2595 16300\n7645 8551\n6777 17160\n8224 11996\n6383 8655\n10403 10681\n2815 9389\n1678 12244\n8113 9356\n2198 8576\n5992 8162\n8752 9444\n710 3309\n591 7450\n10252 13868\n10979 13170\n2906 3813\n14409 16003\n12059 13715\n8609 15338\n2199 14242\n7472 9642\n5162 9682\n8562 16901\n3257 7261\n2391 9033\n251 12267\n12130 13445\n9914 12912\n6950 15833\n7896 14253\n2126 12078\n949 16971\n3041 16286\n300 1371\n4456 14538\n10229 12838\n5779 5914\n569 3023\n440 4471\n2309 5214\n10950 13128\n12410 13068\n5519 11621\n1763 4229\n2348 10887\n2223 6321\n10017 13452\n10290 15775\n7183 17130\n1862 8173\n437 3465\n2218 8355\n12586 12701\n1820 13279\n4362 10915\n10442 12407\n2642 9306\n5598 11631\n3867 11388\n3730 16503\n3536 12632\n13841 17393\n791 13427\n5440 16813\n5233 12402\n262 7871\n4582 11463\n7757 10344\n3617 15046\n9183 10713\n2176 11459\n5852 7869\n2058 5012\n628 14932\n11276 15535\n9399 13464\n5393 6695\n12247 16355\n6685 12619\n3157 4432\n449 16380\n2007 2856\n2005 17331\n1015 9386\n5273 6372\n4031 17195\n7748 11236\n5250 8407\n1824 6033\n2331 10273\n1684 2334\n7684 9362\n4135 5056\n4878 10510\n1286 2357\n422 6131\n3813 15708\n6604 11877\n2746 10059\n11416 13419\n2671 6528\n4232 15101\n2830 10472\n867 16995\n6234 16441\n6826 16348\n5095 7121\n10526 16306\n787 14260\n3986 14544\n10484 10896\n2365 2785\n5945 8264\n348 6822\n1991 7016\n3555 7491\n2290 9007\n16914 16951\n1078 3421\n12083 13712\n2399 12983\n6503 7108\n6668 10751\n2550 16366\n6963 9260\n4951 16311\n5403 6854\n1690 13488\n6898 12540\n607 12306\n10088 16454\n5554 11481\n1255 6021\n904 8282\n207 5540\n802 1579\n10727 14469\n7220 12212\n8492 13600\n2036 13308\n14002 16521\n6367 17262\n7236 15090\n132 8242\n2747 6147\n9436 14658\n9119 12338\n7880 14066\n4078 15561\n5464 16812\n8929 9805\n12956 14175\n3073 14403\n2737 15584\n2434 3996\n14973 15959\n12655 16537\n6683 9594\n2568 6754\n6227 11748\n1779 2033\n649 13895\n119 3386\n1189 3146\n10224 13266\n643 11532\n469 15581\n10276 13699\n275 10989\n365 7926\n1791 15400\n3422 8350\n5637 13129\n4626 8719\n2481 5386\n3349 11519\n2383 4862\n840 4720\n3848 5772\n6143 10314\n9212 15797\n2019 17418\n5854 9768\n1785 17268\n600 3396\n8098 14645\n3173 13526\n4256 15609\n2957 4054\n2222 12843\n11582 11670\n7503 13759\n8163 16848\n13715 13717\n3199 6679\n10821 12589\n7711 14620\n7135 14269\n14564 15757\n6965 10707\n12146 14614\n1198 10085\n3291 10610\n5075 13239\n8136 12138\n6716 8570\n14499 14982\n575 11467\n75 8521\n1702 7049\n13834 17256\n6116 13623\n11328 16626\n648 15830\n3809 5664\n367 6426\n3342 9682\n1970 8776\n9721 13011\n1069 8625\n3996 9844\n2827 12741\n10817 13844\n9169 15231\n2473 7538\n3028 6906\n3364 11115\n6956 9626\n571 1098\n9502 10677\n5020 6051\n494 15478\n3183 13643\n1856 13665\n2339 14380\n9053 14497\n8206 9642\n9005 11777\n904 6763\n4271 16501\n234 15210\n9706 10601\n1795 13699\n10289 15725\n3153 16252\n16761 17170\n3164 12416\n379 9055\n4721 13710\n13797 13812\n14857 15719\n7895 12716\n10149 12656\n2939 3890\n5895 5934\n3452 4909\n6259 8296\n2752 13079\n1427 8485\n5741 10931\n342 10520\n4820 15662\n1289 13971\n7058 7408\n684 11442\n2626 10252\n7213 10448\n4807 12269\n4232 13567\n5297 14060\n11878 15354\n7267 8878\n7775 11353\n5927 10208\n3698 12586\n2880 8761\n8048 12710\n5068 7721\n2612 9423\n6084 10244\n9338 14859\n4101 14061\n3245 9752\n844 1522\n9438 16835\n1999 12371\n1894 3834\n11224 14071\n11499 15283\n8178 16888\n4617 11551\n4450 7663\n2963 12732\n13695 15112\n9742 16067\n712 6199\n202 14302\n5865 7765\n1171 11999\n1088 13811\n9842 17136\n657 4109\n9625 12433\n954 15450\n5415 17405\n5270 6060\n2425 14557\n8868 15462\n8675 13398\n5080 14385\n12417 17269\n4507 9163\n4138 17107\n13188 15510\n8889 17265\n2791 6469\n570 7438\n13083 15933\n3317 13712\n1481 12464\n8083 13857\n1171 3927\n4686 14797\n2066 12420\n7262 13725\n5648 17235\n9521 15441\n2344 9047\n3721 16778\n16452 16489\n4323 17342\n14964 15762\n7320 10254\n9467 13962\n409 2301\n2736 13993\n7113 16279\n1151 16551\n5710 9682\n6113 12899\n5281 17270\n10312 11392\n654 13533\n4278 11247\n7944 10328\n1338 13754\n9760 10659\n7512 7532\n4361 15608\n9690 16360\n850 1255\n3130 11132\n700 5491\n11069 15118\n7107 15988\n854 2322\n7434 12542\n12220 16201\n200 6216\n523 10991\n11460 14861\n13929 14027\n8111 14822\n3364 7187\n4754 15709\n13191 16354\n9842 11952\n4064 17206\n9825 15520\n8754 12477\n6299 13889\n10661 13334\n989 6509\n1949 13492\n6106 8473\n4065 8347\n7638 14448\n7332 11692\n2469 11743\n1064 9181\n14058 15642\n8808 12280\n505 15592\n14358 14976\n3299 4909\n8424 9454\n1750 13909\n1781 2493\n10849 16056\n9489 15657\n6644 11690\n7917 8827\n1410 7061\n6342 6505\n11588 14451\n5424 6084\n1176 17072\n8690 11743\n6123 15357\n2394 8089\n12395 15581\n4506 5858\n2239 7315\n4038 4908\n3835 7703\n6957 13287\n2111 6777\n5062 9691\n11580 13131\n936 15483\n2928 4956\n1889 10421\n6928 9611\n10838 13573\n2508 15690\n7731 9851\n11512 13327\n6280 15781\n1091 11485\n1703 10230\n2017 8992\n1288 3158\n9697 16616\n8490 14825\n14179 16020\n11036 12154\n3449 7155\n2612 5205\n4388 12102\n8254 14962\n4493 11468\n5885 12258\n13793 16768\n4518 13053\n3195 16238\n10037 13333\n4797 14372\n9604 14546\n11858 14285\n6982 7145\n3486 9707\n1105 5738\n7449 9080\n6950 15479\n5960 12954\n10605 13858\n2620 4126\n12746 15055\n5874 9058\n1692 11953\n10312 14970\n12174 12871\n4941 8776\n11201 11302\n8161 17321\n2666 4884\n11422 11810\n10447 16456\n10141 11718\n9288 11702\n1223 1489\n15104 16834\n7666 9003\n8213 12804\n4183 17042\n8690 9810\n2166 2341\n9940 16821\n7909 16950\n10974 17178\n9016 16760\n1024 1237\n13072 14676\n442 11176\n8494 13816\n433 7790\n7053 12304\n3984 7924\n356 6647\n9935 16351\n4604 14662\n6470 17269\n12959 14578\n7566 13790\n2871 15298\n8371 10757\n3492 13128\n2140 17337\n4610 5141\n1271 6731\n12697 13329\n675 3118\n2151 17283\n8595 9450\n3219 13900\n3351 8727\n4920 16709\n11712 14228\n1270 8561\n9639 12060\n15909 17102\n1994 4226\n13204 14290\n7614 13437\n157 9052\n9434 15264\n1538 10948\n3481 13660\n11676 16727\n9622 9725\n3470 5498\n2710 4374\n3534 15011\n5639 7412\n2680 7339\n671 13892\n16348 17262\n14495 15828\n10546 15646\n9433 16402\n10644 12835\n10685 16393\n14259 16863\n7601 12577\n2268 8671\n7899 11543\n2546 8172\n8254 14129\n5199 16440\n6587 7838\n12526 14711\n8377 9769\n1583 6831\n1832 3771\n7956 14274\n15476 15827\n1418 14554\n2655 14602\n4163 9183\n3493 16210\n90 885\n6941 8980\n8220 10687\n15135 15315\n4058 17023\n9268 16271\n3228 15483\n940 16991\n2807 17381\n3254 4778\n3443 15529\n1141 1932\n8732 10300\n5330 11979\n5319 10462\n40 793\n872 3919\n2923 9700\n7856 9767\n11329 15162\n3428 13498\n309 863\n854 16613\n3848 16479\n1213 14863\n7503 17094\n7977 10790\n8740 13132\n3019 7089\n5649 11964\n1288 4068\n11810 15131\n9749 13683\n14151 14185\n4565 11939\n5505 13835\n8089 12153\n12344 16993\n1604 14253\n2068 10515\n9931 14092\n6772 15821\n2412 3949\n10005 10748\n5505 5827\n4042 7315\n6129 11915\n13076 14841\n4433 9717\n6231 13744\n872 7053\n2050 14407\n6620 12646\n10442 14024\n4296 14655\n6279 7596\n3773 5032\n5464 13054\n8866 9207\n11659 13296\n8871 16034\n9434 10224\n4025 10364\n293 13463\n2304 15669\n928 6445\n7622 14761\n1884 16504\n1189 11824\n32 13688\n3276 14036\n3271 5649\n488 10924\n1537 8429\n9560 11237\n3226 3665\n5426 12712\n10352 14399\n270 9100\n2519 2614\n8445 15290\n3958 7460\n2532 9879\n986 9414\n3319 5754\n5161 13553\n4960 9425\n597 5648\n3217 10171\n4545 16130\n8212 17072\n15369 16219\n8719 15619\n9418 17153\n1416 2775\n5227 13101\n1275 7399\n3234 12891\n696 16988\n4611 8874\n425 15011\n4441 10692\n2699 11374\n3856 12773\n12849 16795\n1619 7901\n299 16530\n12452 14112\n7032 17416\n4217 7415\n5172 10932\n3056 7010\n12221 13133\n1096 15189\n3655 15176\n5810 11779\n13091 16786\n2046 6614\n2089 6363\n9731 14720\n2880 5823\n10370 12344\n3321 9239\n6853 7017\n3674 14708\n390 14795\n6009 12926\n1067 2963\n5793 9584\n8730 13700\n11293 12383\n14555 14911\n4698 5253\n5807 7092\n182 12831\n4016 12414\n2273 8622\n6190 10998\n9557 13314\n15209 16615\n1135 15763\n11377 11551\n6002 9712\n455 11471\n3919 5089\n10025 16152\n1596 7279\n1094 5029\n1105 15731\n6777 9022\n11 9416\n8493 14483\n394 7715\n11260 12681\n9113 12252\n3284 12890\n2938 14832\n631 2990\n5477 11653\n10119 16342\n6003 16258\n2133 3866\n421 16836\n1963 9388\n3906 14220\n10640 15948\n11168 13043\n13239 16890\n12961 15834\n1558 6641\n12645 14505\n3315 3493\n1710 14426\n9908 9938\n4249 11469\n13807 17213\n3125 11453\n5139 7110\n4742 9032\n2793 11709\n11129 11999\n3299 15573\n6573 7400\n8947 15994\n497 7241\n12691 17269\n655 1790\n9330 14154\n6719 16363\n4582 10592\n4234 15761\n1712 6802\n14854 17063\n2748 12739\n11380 15627\n3539 11181\n8470 14729\n9168 9839\n9698 15684\n9726 9911\n4610 15075\n8665 11207\n1927 4514\n5740 6388\n240 12681\n6727 7098\n721 15121\n5877 10919\n8397 9414\n7372 13008\n128 2567\n8231 11006\n15103 17189\n2732 7667\n1385 5428\n2071 6809\n2224 11288\n3816 7225\n2444 11019\n6697 16589\n2337 9478\n15649 16775\n886 7534\n1852 12495\n8910 11417\n2350 2355\n3894 16546\n4073 14223\n10374 12700\n3578 16292\n3847 8576\n4643 15039\n4939 10156\n2149 9237\n11672 16561\n6356 13138\n2520 4461\n2539 10036\n14189 16610\n10706 10807\n4771 13773\n4471 10748\n11182 12010\n1789 12600\n4927 11257\n7586 13189\n8067 15461\n7462 14674\n4687 9402\n7808 12732\n5308 15735\n10522 16649\n14396 15592\n3675 12385\n4845 5478\n11623 16510\n2091 13160\n3446 15483\n13525 16706\n3278 16675\n11439 13723\n4202 15574\n7344 12484\n6417 7252\n1642 8229\n4025 5559\n13392 15739\n515 9995\n2147 14546\n1400 17090\n157 15358\n10679 12187\n15921 17441\n14772 15389\n6635 12026\n6278 6464\n6690 13628\n3614 15737\n203 4806\n5610 10988\n10134 15781\n90 13575\n530 16691\n1198 1671\n12112 13491\n2695 11080\n14688 17254\n7427 14820\n2008 9171\n11485 12401\n567 13129\n2208 16973\n11919 15718\n7828 15193\n7854 15786\n2108 10703\n2753 15936\n7275 16145\n14289 15705\n12042 13056\n895 7849\n2294 14905\n10340 13282\n2289 13133\n2723 8086\n5630 8680\n4639 10016\n4763 16051\n1036 10206\n865 16784\n3769 3990\n6467 14870\n2186 13796\n2077 6256\n5315 6769\n592 9647\n12294 14031\n12094 14812\n5544 13748\n2565 6023\n1585 5662\n3151 15468\n2677 16046\n9667 10773\n3714 7142\n1066 13542\n14602 15296\n14898 16036\n4431 4908\n2195 7341\n5463 16934\n160 9772\n7597 9038\n6433 17217\n6207 9833\n9391 12075\n7708 12362\n5658 16293\n2501 13285\n7457 15531\n5515 14850\n2513 16253\n14046 16345\n1453 14360\n11116 14706\n13819 15310\n5881 8039\n810 11984\n8321 9434\n11489 14355\n4571 13632\n2847 3268\n851 12401\n11248 16101\n2144 9416\n5603 9398\n9287 16467\n13108 14382\n4063 13234\n1787 14859\n7420 9849\n10983 12990\n12261 12724\n1634 4063\n2486 8380\n1849 12695\n7014 14257\n11417 11575\n4323 7345\n6997 7663\n2702 15644\n4307 16245\n6607 16286\n606 4507\n4292 4373\n7942 16191\n8214 12991\n1774 7893\n2993 3367\n7502 7943\n12112 12769\n2348 12642\n3851 15342\n15544 16647\n9288 15975\n2693 17209\n8285 13058\n11125 14183\n2607 11340\n1379 2629\n1764 8717\n971 14276\n514 16427\n2637 3095\n8581 12220\n3540 11592\n12736 14676\n4038 8757\n7092 12604\n9476 14333\n1294 13052\n6899 16657\n3170 4046\n9518 14947\n5942 8622\n4320 4528\n3618 4270\n415 11576\n6277 13778\n3086 5409\n485 12243\n9930 17349\n4911 7583\n4948 5903\n3743 13875\n2855 7299\n5481 17155\n8244 15316\n11688 12208\n12041 13832\n6152 11954\n4842 9196\n9682 10413\n10865 17257\n691 14183\n14256 16905\n4365 16311\n1986 8082\n5510 15479\n4892 7250\n9579 14397\n3037 12008\n8616 14600\n2303 8564\n1467 8509\n667 3028\n5469 15255\n3986 9266\n5560 6410\n9090 15233\n9363 17403\n5118 14483\n7196 11375\n7067 17101\n10060 16384\n585 4438\n1868 3373\n7941 12876\n6404 11384\n6468 9685\n10552 11129\n6967 11335\n444 485\n7899 8068\n5214 11935\n2141 6572\n5885 16549\n7199 14250\n9613 16108\n3504 7889\n1804 10285\n5174 10354\n692 10574\n2007 2436\n10240 13676\n1542 14165\n7175 17460\n478 10883\n2427 16819\n12315 16901\n3536 4702\n8254 16331\n5390 16127\n2820 12585\n1190 6350\n2907 16286\n12607 14629\n11788 12540\n3619 6168\n12358 13260\n13667 14448\n7740 14280\n2739 11034\n2997 7882\n5589 14810\n11783 15708\n445 11633\n4926 8548\n143 3060\n10848 12423\n2152 4689\n4732 11731\n4260 13751\n1846 11771\n6088 13961\n1887 15723\n507 7366\n2254 12637\n2134 13055\n1839 6481\n9185 13880\n12195 12705\n8706 10346\n10535 16254\n1829 8931\n190 3578\n1281 6513\n15988 17021\n11519 12201\n2306 2585\n2960 16359\n7002 14998\n8305 14302\n9943 12457\n6701 16259\n8078 9732\n11411 11792\n9563 11337\n12231 16423\n5644 8916\n1693 13287\n9802 10166\n13944 16503\n6457 13549\n216 870\n8292 16171\n8108 9052\n1416 9355\n6240 10445\n4155 6830\n5969 11517\n5948 11226\n833 10980\n6364 8585\n7737 14796\n2647 9194\n5070 6306\n2776 8677\n13193 15949\n6197 14734\n7397 11607\n882 3583\n4250 10090\n7197 12074\n4550 5985\n6404 15858\n8671 17259\n2236 15576\n2339 7343\n871 5816\n5050 6828\n11891 12766\n6753 11641\n5876 17226\n4754 9765\n15143 15176\n13986 15781\n13857 16657\n4501 15721\n1707 10637\n5444 14443\n6871 6924\n829 3973\n12112 17007\n8763 13538\n11414 12520\n6978 9535\n2452 6502\n1102 3018\n1249 11539\n2189 6998\n5379 7000\n11560 13467\n7503 14402\n7319 9797\n249 10054\n6853 13674\n4006 15739\n14271 16623\n4658 14750\n10203 12953\n2488 3126\n610 3514\n1771 11127\n1383 5781\n2399 9923\n9085 9273\n2043 2784\n3044 9309\n2426 5121\n5459 15503\n14427 16238\n6216 13529\n944 1675\n1366 3805\n8373 8675\n5896 11526\n4035 10216\n2790 3695\n7935 13823\n1277 3455\n6460 10095\n1770 8676\n12712 15468\n342 3344\n8256 8261\n384 2629\n9306 9512\n6793 14859\n2344 10328\n14515 16596\n2844 5628\n5420 9000\n2109 7991\n3433 17100\n1685 2345\n8433 13015\n4895 17201\n6955 11310\n13080 16711\n8201 12178\n7330 12900\n491 10968\n3820 5829\n4611 14299\n409 14021\n3885 5913\n7290 12154\n3335 9445\n5379 14707\n1016 7553\n924 14566\n537 6839\n4502 4619\n11753 17329\n1250 1463\n12882 16495\n6817 7511\n2248 12025\n8496 12200\n5809 6586\n10928 13471\n5674 15613\n4615 7793\n1216 3223\n7372 10860\n3705 13102\n6652 10469\n4337 16534\n5176 13960\n5001 5415\n9400 11501\n3501 4294\n4429 6484\n104 4764\n5862 16944\n8435 9047\n270 1729\n4189 11763\n5273 13645\n4384 11981\n5103 9273\n6635 10555\n5304 7301\n12045 14507\n1353 8818\n1357 6723\n6346 7792\n1612 14698\n8062 8661\n1263 10728\n3571 17010\n6313 11470\n764 15578\n11584 12073\n10271 15909\n3089 17364\n5684 9297\n2816 10620\n9640 14996\n1113 15082\n7573 10534\n10183 11230\n844 8013\n5192 8304\n2867 5482\n396 13086\n2920 14813\n7534 13942\n11140 15738\n1140 8963\n2682 12967\n13297 15529\n1982 15067\n13266 15394\n3745 14187\n3706 6358\n5917 15109\n1768 10938\n8038 15725\n11691 14880\n1369 15397\n870 7218\n7238 13816\n3981 15006\n8094 8542\n5463 13699\n6191 6619\n2441 2896\n1646 7273\n2637 11640\n151 17359\n7628 14641\n11363 16251\n13490 16924\n2600 6592\n1332 11491\n2551 9752\n5909 15257\n7355 17355\n10722 17130\n3074 12516\n2848 10619\n8689 11882\n2752 7063\n9550 13199\n11566 14370\n8878 11350\n9750 12355\n3256 16535\n7764 13704\n6964 10509\n7748 9155\n6022 13335\n11218 12964\n10766 16299\n6869 17101\n5146 12637\n218 12121\n862 14604\n9955 14715\n5899 12621\n331 14982\n11421 13173\n2655 5895\n8287 17095\n3309 11285\n1791 14259\n3060 15020\n4658 8887\n3664 9707\n2994 12135\n7726 13076\n11948 12033\n5032 15856\n2995 12819\n1053 7338\n7542 7693\n717 6142\n14028 15437\n7539 13361\n211 7528\n11073 11631\n1916 8169\n2802 16374\n3025 9778\n10186 17237\n5135 10338\n2045 6156\n5331 7801\n8953 11682\n11134 13087\n2866 6148\n846 1922\n883 13760\n12498 17424\n8054 10670\n5903 14439\n7457 15431\n5879 6996\n7070 11973\n7157 16430\n8007 16385\n1646 13512\n6776 9829\n9964 11598\n9566 14371\n11021 13051\n7068 15261\n1344 9889\n6462 14713\n10194 12200\n3125 8843\n14157 17269\n875 14972\n4475 7932\n8026 14920\n6094 10419\n6486 13777\n467 4445\n6747 16395\n10467 17069\n2283 8734\n9624 13720\n7980 11896\n4107 8450\n7162 9292\n1174 8218\n13150 14473\n5106 6550\n242 313\n2251 12217\n2343 12153\n10194 15403\n640 9136\n517 11739\n6893 8781\n1169 9623\n2701 4568\n4490 9647\n536 4613\n2579 5914\n5216 12861\n14246 14753\n2445 10707\n88 2959\n222 8006\n3891 8238\n543 11130\n8154 15042\n1260 13999\n7838 8589\n13282 15442\n2690 10697\n8661 15562\n3077 4052\n1247 5612\n11838 13657\n1693 4036\n3335 9286\n8320 15831\n6254 8325\n69 10580\n4224 6133\n13278 14540\n2217 6986\n1140 16236\n14261 14486\n4197 13503\n2265 15895\n10231 13949\n13143 15682\n9608 10357\n134 3257\n7117 10567\n11143 11761\n3674 5761\n118 2190\n5875 12801\n15577 17304\n1701 16992\n7255 8750\n1073 8988\n5992 13852\n9562 17227\n7908 13087\n13298 14938\n3309 15400\n5195 16580\n3911 13500\n4648 7156\n5343 15294\n10823 12472\n7015 15025\n4381 16892\n5463 12703\n8168 13078\n815 6267\n2073 14795\n1601 4666\n1134 4148\n6941 14899\n7125 13052\n11566 13308\n11009 11856\n8864 12482\n9778 15557\n2638 12629\n14052 17306\n4289 12222\n2069 8929\n9438 15859\n3014 6767\n11728 15533\n7027 14481\n10103 11519\n759 11180\n4745 7308\n1030 13401\n2369 14598\n986 12068\n7864 11418\n1830 8811\n5983 10100\n6033 10059\n7153 16683\n1868 2143\n1570 8509\n13456 14420\n13269 13470\n6802 10235\n11301 15724\n10803 12595\n4817 9117\n7473 9472\n10500 16424\n10695 15098\n1738 12263\n1782 15969\n1399 14389\n3201 10420\n8545 17164\n8926 10746\n7205 13802\n9329 10649\n4716 5079\n426 13476\n8642 8732\n11584 11592\n3677 16583\n10951 16259\n4387 13924\n5616 15087\n13139 15205\n805 5766\n3303 8595\n1425 4822\n2264 8011\n587 15284\n2766 12877\n3503 12881\n3046 3230\n3342 11797\n7586 13971\n1168 2224\n6680 10986\n6781 13183\n282 8218\n2835 14726\n2460 3597\n5711 6373\n13374 14035\n2604 7880\n6255 8719\n913 15867\n6056 7222\n2699 9085\n7926 14130\n8976 12148\n765 14204\n9839 13521\n8634 12047\n2597 6310\n6538 16869\n1744 6370\n1007 9392\n9085 15116\n496 11726\n1163 8302\n4664 15581\n1853 17129\n7469 16681\n7896 8930\n4158 17137\n11533 13772\n6927 7203\n3815 15588\n4005 6959\n11493 14133\n5383 12192\n6714 15302\n8007 12767\n13034 13702\n8174 8867\n6138 16226\n5781 6953\n5086 17305\n8335 16171\n10182 10538\n3103 3314\n13190 15810\n6629 12730\n8989 12604\n13399 16476\n14415 14484\n4114 8881\n4722 13725\n5927 7211\n4504 6151\n9007 16160\n2164 3494\n565 7331\n3430 5511\n4416 7990\n7309 17408\n5674 15938\n1039 14639\n8032 16081\n644 7949\n16511 16997\n10892 11705\n11339 16266\n7072 15483\n5945 16144\n327 11456\n3218 7930\n4485 6415\n7544 12058\n3579 14097\n14820 14832\n2426 16039\n7465 14468\n13396 15701\n2674 2739\n3464 16175\n3908 14325\n9242 10003\n9207 15561\n2985 13334\n3096 13294\n11896 15873\n11116 14493\n2285 13381\n2214 14306\n5203 10142\n4279 12237\n15190 15341\n5590 11739\n2786 17083\n10427 12061\n7488 13684\n11305 15745\n4728 16550\n145 5861\n4724 5318\n6632 15448\n1220 1648\n9835 12672\n2292 5659\n7533 16219\n4896 16293\n3643 6275\n1799 3640\n8796 12348\n1521 1717\n1957 8630\n7761 14653\n7883 10532\n15408 17069\n2080 2756\n3026 6423\n6500 15821\n1257 7026\n6749 14335\n9980 15048\n2249 3772\n7057 8832\n6888 8633\n5971 11516\n3509 4064\n13171 13826\n13825 15235\n7077 7930\n12190 13108\n8532 9656\n5948 13843\n3878 16447\n998 6633\n7150 13975\n1245 17037\n8480 9632\n1294 14121\n6248 10730\n10770 12855\n1178 10191\n1332 5526\n2496 10249\n1721 2450\n661 10677\n1893 6207\n15779 15837\n1243 8662\n9112 9394\n3489 9973\n830 16405\n23 875\n1305 14402\n9197 15143\n4995 13924\n10096 14621\n1869 14735\n610 12475\n3355 6470\n2490 10294\n6292 6490\n4692 14584\n10843 17291\n2973 13681\n1840 15321\n8923 13911\n8817 14046\n1472 5706\n9054 12853\n5018 14289\n7833 12771\n614 4882\n1764 3023\n3626 17192\n4181 7872\n11891 15474\n95 2988\n1723 6665\n550 10235\n797 13887\n3043 7418\n7453 14108\n6511 7609\n6181 10101\n531 11083\n9184 15672\n1174 7310\n4656 9708\n6071 15923\n355 6284\n3961 4373\n10112 12992\n88 17265\n430 9571\n5749 7790\n9044 9170\n1436 13667\n5081 15205\n2227 4984\n7882 15716\n6016 10889\n12036 16010\n9531 13841\n8199 11222\n2578 11249\n3521 17073\n1292 3524\n3366 12666\n1240 7865\n6525 9258\n13172 13803\n6849 14499\n6774 11933\n9634 15473\n770 16148\n3743 11072\n16039 17458\n13063 13386\n9991 13115\n2715 13298\n9599 11136\n4680 14049\n1920 5722\n14667 15362\n9149 16124\n7421 15849\n7235 8901\n1360 15848\n11894 17203\n9320 12320\n1557 15667\n12424 14753\n3662 15771\n5026 12156\n3997 12870\n1146 11293\n2005 5700\n7013 15632\n9367 15779\n9239 14180\n522 7983\n6203 12175\n3678 15146\n5870 13384\n3922 5072\n9298 10436\n6136 6412\n5520 14353\n4470 12327\n3186 15864\n5261 10091\n7811 10309\n778 1485\n9740 13464\n1034 2023\n4680 6147\n2990 15520\n2795 15564\n3634 5119\n4090 8174\n412 11834\n3075 8042\n1294 3931\n4461 13400\n2979 6477\n11624 15338\n1279 11644\n3864 11489\n7092 14272\n3805 14051\n6065 13458\n3471 4000\n6690 10844\n3650 6362\n5648 6010\n4498 4538\n849 4498\n4948 17410\n4441 9046\n6488 16459\n9228 17025\n13940 15616\n10688 16621\n12903 14945\n1305 9221\n5112 16090\n10581 16539\n3497 6069\n12251 13088\n4430 14320\n9677 13026\n12457 15016\n1061 7654\n1394 2181\n3706 11698\n3590 5336\n7409 14974\n4707 16162\n6944 8988\n2295 11288\n13984 13996\n4172 4909\n842 2634\n4363 8797\n8279 15658\n10684 14795\n13565 16020\n4130 6135\n6292 8854\n12573 13042\n9103 11184\n13444 15191\n448 13050\n1540 14348\n78 2560\n13993 15115\n2824 3058\n8939 16226\n5478 13838\n10082 12718\n9605 15260\n7764 15869\n4398 13518\n8936 10730\n13599 14096\n834 15671\n1075 1518\n4727 8886\n7925 16180\n8469 15043\n12223 12877\n8712 16575\n13035 16551\n13022 17394\n11281 12595\n118 7350\n3506 10436\n186 2169\n1371 5670\n5849 8932\n12320 17301\n8369 12911\n4352 14221\n4485 12054\n4517 5590\n950 9795\n9237 17349\n1537 16497\n5452 7342\n14600 16382\n3476 10385\n3691 6869\n6873 10583\n6297 16832\n2446 14376\n10438 16027\n14397 16701\n1496 7935\n4150 5260\n7878 9409\n3305 9844\n4727 4890\n15053 16172\n13180 14631\n3328 6493\n2680 5152\n2290 6824\n7931 14390\n3703 6005\n1944 13863\n5723 11437\n1667 6940\n3629 10261\n3499 5343\n9389 15163\n625 17334\n14210 16165\n4326 5058\n11556 17092\n2971 12999\n15438 16970\n5185 15917\n14880 16185\n11610 16021\n7038 15789\n14315 16928\n2330 16038\n7117 7989\n5714 11020\n11037 14513\n2634 4061\n5911 14108\n2730 11513\n2046 14077\n13121 13385\n7061 10161\n58 15695\n2858 15318\n10025 14280\n10144 17025\n4955 8031\n8835 13368\n1166 6861\n2935 6232\n3345 11134\n6853 9514\n6762 12320\n3129 9611\n8142 15078\n13483 17212\n11084 14111\n2704 14623\n4139 12053\n13119 15914\n9570 12702\n3994 9386\n6522 8253\n14076 15922\n6800 13053\n1999 13766\n827 6135\n12876 16199\n8232 13180\n2744 12802\n5162 15281\n13159 14512\n11749 17082\n945 10593\n13166 15857\n12582 13048\n846 6766\n9543 14538\n1997 10299\n11171 11439\n10370 11802\n14364 17450\n12545 16978\n954 15886\n8735 10698\n10076 13877\n12469 14748\n1253 4424\n9822 13765\n3085 5752\n5284 15807\n596 4192\n9457 11705\n12945 13917\n10872 16669\n3521 3813\n11881 15163\n10315 12220\n12741 17035\n11808 14020\n4411 12077\n470 1186\n2482 3919\n10874 13214\n2272 3447\n8369 13732\n96 1073\n7871 11802\n993 11543\n2687 5443\n3350 9386\n432 3423\n5446 14374\n853 10853\n11166 16426\n1601 2089\n6877 10652\n503 8666\n4346 10162\n7610 12972\n592 14457\n6293 15761\n153 2457\n16051 16476\n7127 17442\n2973 5350\n696 1020\n2408 10341\n9353 17228\n7752 7823\n6835 7210\n7598 11697\n15197 15989\n12543 16963\n9238 13908\n6810 8204\n7089 15211\n7754 16246\n437 5813\n13344 15228\n1349 11280\n5823 15748\n8650 13284\n4431 11965\n24 5394\n6480 15920\n6842 16174\n3318 8885\n12675 16377\n1222 9130\n7694 12495\n4711 8572\n1117 8602\n10424 16027\n3903 12085\n7342 13712\n2444 5617\n3094 4157\n3488 5813\n7603 9594\n7426 11326\n6026 11462\n10974 16708\n34 12724\n4083 11685\n9081 13824\n7091 15145\n7599 13294\n5605 8638\n11442 16947\n826 12675\n4406 6557\n3612 15077\n9084 11116\n13808 16023\n405 1215\n2095 9636\n3522 16200\n2646 7106\n6054 16362\n12429 12800\n8478 16573\n11156 15247\n3456 15776\n2052 10240\n1909 14888\n6364 14638\n9733 10277\n6472 8301\n8006 17078\n12767 16883\n361 14475\n1107 9143\n2865 3574\n11448 15420\n6427 8031\n9280 17204\n2461 14556\n1655 8374\n5853 13397\n12164 14073\n4151 14684\n16121 17273\n3483 8408\n6508 13536\n11642 15068\n1261 8886\n4364 9537\n9985 10531\n10118 13859\n9747 17114\n5294 6544\n3870 8262\n6997 14652\n10476 14057\n4704 12007\n11720 16552\n7679 13442\n6314 16970\n12319 16364\n4761 14824\n8325 16265\n1375 14363\n8445 10703\n927 16728\n253 10322\n9989 12994\n10301 10478\n3600 12850\n6616 11820\n2459 17373\n4536 12114\n11961 16338\n7103 15724\n3282 4362\n3210 7640\n1078 1403\n8 380\n5779 6106\n7723 10950\n8303 14874\n3959 15938\n2254 7854\n11276 13658\n6172 13492\n5053 13527\n1235 14337\n6433 7439\n1511 15387\n8087 11625\n16188 16213\n3539 9708\n1274 8662\n4017 8872\n4260 4556\n7197 12148\n154 11310\n4785 11748\n1824 16354\n6582 10104\n2012 6858\n256 965\n8476 11072\n2908 6516\n5018 9890\n13556 16262\n1268 9855\n7080 13608\n9197 11577\n6656 14401\n14867 15859\n3721 11988\n2272 2718\n3226 15409\n2644 14819\n26 8245\n8728 17348\n7240 11002\n7063 7087\n3711 9694\n3946 12376\n11515 14363\n4383 5834\n4415 5036\n3593 9213\n8604 11438\n8692 13318\n4221 15596\n7143 10969\n2571 8037\n4628 5407\n4057 7683\n9476 14823\n1950 13466\n5036 6256\n7437 11329\n2532 16732\n12827 17318\n6153 11144\n14754 16706\n3965 13676\n6201 8378\n2064 5706\n14615 16962\n851 1114\n8298 16837\n9169 13852\n12194 15810\n4484 7923\n6354 17338\n10283 12174\n7326 15994\n4023 7880\n7807 8609\n12525 17298\n10301 14582\n8926 11160\n4167 14457\n15100 16602\n15018 15872\n3719 11069\n9980 10417\n11381 13537\n968 2696\n13194 16950\n1711 15054\n9831 14591\n3028 15089\n14600 15813\n4811 17424\n8351 9241\n11781 16671\n12225 13426\n739 5105\n4223 9215\n11797 13550\n3672 5961\n3409 15706\n7996 10399\n10842 11624\n4125 17336\n2682 5206\n1668 5907\n4131 8724\n8800 9924\n1573 7756\n1909 9992\n12331 14049\n9912 13600\n7338 13324\n4158 10139\n4622 7494\n1147 9435\n11672 15915\n1712 2911\n3577 12538\n4254 8149\n4737 11673\n1900 10642\n7943 13466\n6771 15584\n1297 17380\n3386 10761\n7253 16006\n5728 8216\n3111 4115\n7015 9984\n896 14207\n4428 8029\n2006 9945\n4335 8737\n2579 9487\n5634 11390\n8490 12546\n3915 8811\n864 10305\n1830 13291\n6110 13017\n10867 16098\n2285 5166\n10973 10991\n13660 13826\n7977 8767\n532 10539\n7250 7259\n5269 11190\n758 14154\n5499 15864\n5652 15311\n5343 17384\n3990 8388\n14845 14860\n696 16421\n6542 7310\n975 9530\n8844 10722\n3252 11852\n5713 5937\n3816 8482\n178 5649\n8135 9179\n5545 11498\n2545 11016\n7681 13996\n647 15034\n11888 15869\n3865 6252\n5829 16162\n1048 6884\n12161 16301\n1053 2673\n726 850\n10685 15235\n1742 3825\n3677 12354\n14221 15549\n696 11416\n2533 4071\n8541 17344\n7557 12663\n306 2814\n1997 7781\n2801 7150\n6888 9162\n4126 17057\n8922 12586\n14275 14365\n8685 11803\n2779 13333\n10133 11202\n4312 13279\n4539 11905\n767 9818\n8821 10086\n2471 16416\n5403 16363\n6810 9935\n815 4384\n7316 11159\n778 12933\n2457 16450\n9745 11004\n693 16089\n6640 8706\n3935 10450\n10592 12144\n5421 13156\n6872 14262\n4745 9559\n6066 8255\n6217 9086\n3584 16828\n15466 16006\n7421 14363\n7471 15329\n9296 16347\n8824 14569\n4573 13078\n2945 16725\n642 5933\n2326 6362\n2461 9112\n7598 16106\n4879 6541\n1345 2406\n6887 17300\n1001 6391\n8166 17130\n522 1910\n6941 13229\n10630 13508\n440 14227\n15397 16035\n7150 13776\n7010 16533\n12466 14437\n5797 11598\n354 4654\n12050 15155\n9905 13347\n1646 3807\n382 7225\n4267 4854\n2912 4059\n2231 10986\n7974 12495\n559 12490\n142 15926\n8737 12684\n1951 11536\n2946 10939\n2357 7248\n6501 11564\n856 2045\n3363 14984\n8473 15802\n5814 10534\n12325 16497\n4219 10336\n276 15806\n1214 6960\n5193 8727\n5239 7708\n9758 12213\n10081 11282\n11164 11623\n4828 5061\n15462 17007\n8375 15984\n4510 9680\n4258 16494\n7522 13945\n12385 16870\n1853 6286\n4540 14813\n3712 8108\n12768 13235\n9227 15253\n12881 16567\n439 7418\n7183 16617\n7514 9643\n6882 12614\n10868 15531\n11333 13704\n7596 9394\n3071 4322\n7875 9838\n1959 17132\n4090 7715\n6527 13784\n3804 16294\n16019 17270\n15194 17125\n6913 8149\n7647 12240\n4456 10743\n5538 15868\n5096 17453\n1720 9844\n4284 11290\n3830 5415\n2711 17139\n7969 9924\n11485 16056\n7654 15097\n11273 14095\n1872 3771\n7682 14734\n8990 15045\n6635 13235\n6124 17095\n2645 16231\n2852 11453\n5787 11679\n3217 15232\n2668 4659\n4281 13126\n9337 17326\n6117 8552\n3776 9389\n7364 8171\n5386 12627\n8785 16205\n11105 12444\n9096 16586\n112 3387\n9639 14452\n7932 11120\n8302 12244\n2615 8135\n2247 12607\n11978 16091\n12626 14866\n15036 15971\n1171 16112\n7325 16091\n3798 6202\n2650 12442\n2108 8673\n4749 11263\n13681 14840\n5368 8211\n7592 15139\n4838 15851\n11305 16458\n7076 15234\n11801 14923\n8461 14243\n6247 6578\n13958 14004\n793 6428\n2231 4812\n4694 13728\n469 15868\n2014 9206\n3640 5442\n12943 17224\n966 12409\n3183 5547\n1960 2471\n2721 11892\n6139 11844\n1576 12197\n5158 10883\n540 10924\n8006 9597\n3655 15143\n15435 17271\n1508 11399\n10225 10412\n5474 9358\n4744 16914\n847 16885\n3153 9527\n2080 8517\n4162 13781\n4333 15677\n3173 15638\n7667 8111\n7565 8860\n2974 6618\n3633 9499\n6519 9291\n4197 15993\n14546 16791\n1492 16768\n10910 12821\n12358 14673\n3375 16602\n5664 10218\n3240 13117\n3958 8545\n2524 3815\n13385 15817\n8084 14052\n314 9299\n1111 4281\n13734 13877\n5810 12247\n4899 13713\n8064 10339\n6497 12550\n777 14911\n5215 15049\n2127 8420\n4378 16962\n3001 4439\n5797 10381\n7568 15539\n1303 7219\n912 11841\n13015 14688\n2775 2812\n6179 9557\n11297 12633\n1563 2405\n433 14814\n8375 12217\n8894 16271\n14656 16598\n6978 14864\n6638 13696\n4006 11558\n1396 15460\n4575 7129\n13632 16440\n6402 7631\n7555 12842\n909 4655\n3115 13351\n4194 7447\n8162 17270\n7788 14957\n93 15733\n6383 14827\n2421 11943\n8972 9232\n2994 3242\n9109 14687\n4452 4532\n11624 13215\n7895 12481\n585 15142\n9386 11343\n1209 8595\n10039 12214\n8960 14422\n4700 16011\n869 3639\n3310 5799\n1363 9236\n7120 9118\n12575 16756\n1238 12957\n13434 13850\n4189 16959\n7910 9579\n11783 15777\n6877 16688\n7489 10313\n1146 7675\n4480 10117\n4297 13462\n11958 13887\n1660 8212\n11429 16256\n10189 15667\n6432 16755\n12498 16672\n1397 9139\n11939 13297\n1751 7450\n6622 8681\n6651 13749\n905 13066\n773 10182\n984 6650\n2427 9387\n676 15105\n15995 16224\n1297 12985\n11520 12497\n8544 9455\n4985 11649\n7037 15265\n9964 10173\n1438 3443\n4555 7891\n3858 13039\n3116 6386\n532 4053\n9177 13170\n1929 14723\n2827 7089\n7546 14778\n2860 9463\n5805 14876\n3712 14419\n5267 10016\n3861 17162\n3138 11960\n7439 12117\n1887 7555\n1328 15606\n5733 6133\n5725 9029\n8840 9727\n5339 7332\n13468 17185\n3517 15697\n7626 10763\n1891 16250\n5646 9226\n1327 16636\n7945 15813\n3304 3480\n6026 13054\n7178 12292\n377 10935\n2250 12851\n1378 7045\n4032 12970\n10646 11319\n831 11753\n9891 10521\n2195 14714\n3371 11227\n7120 12148\n4590 12752\n8969 17461\n2279 4162\n1150 4801\n8618 10387\n11075 11642\n465 5479\n2901 8823\n16002 16147\n3584 9028\n10587 16889\n12240 13488\n7587 15406\n5545 5913\n9459 12110\n3043 14381\n13722 15162\n15811 16184\n3646 9682\n1302 11074\n12975 16678\n6392 7642\n7694 17458\n4964 6747\n10213 13251\n2443 14343\n8120 13622\n2330 6040\n15444 15779\n5424 10962\n8222 13259\n2094 14342\n5995 14931\n7444 15855\n14053 14224\n11896 15997\n2756 3290\n2099 8105\n3195 15532\n9663 12529\n13415 16011\n7249 16087\n1726 11339\n3640 5942\n2997 9540\n7859 12469\n8846 15245\n10021 16585\n15749 16091\n5236 8055\n4557 13191\n1012 7355\n12533 13478\n11011 15097\n3352 7398\n8368 9471\n7708 11874\n79 5949\n6213 16683\n5607 13701\n6701 13046\n5167 10223\n1993 10905\n10378 15635\n5401 8934\n2182 3273\n10223 11128\n4357 10245\n1428 8595\n4654 12411\n8500 15170\n10950 11642\n4961 9429\n3585 8851\n10047 14475\n1176 17175\n7551 14605\n5635 6659\n2220 2730\n5060 10644\n9249 9405\n1242 12321\n469 12596\n1585 2169\n2338 14890\n1469 6272\n471 8944\n7719 14333\n827 6507\n6616 15834\n12875 16540\n4636 14563\n11435 13282\n7734 9291\n10982 16291\n5963 14655\n2936 8522\n2492 15430\n2473 15339\n5968 9536\n4807 12516\n1933 13286\n8032 12983\n5354 7602\n6806 7849\n24 391\n6257 8908\n7838 12744\n4983 16419\n8167 10366\n13956 15985\n956 13903\n1759 17362\n10766 10955\n4701 12797\n749 7077\n4750 14306\n2986 13474\n3371 8411\n5594 10825\n12582 15769\n7412 8500\n1517 14539\n2797 7372\n6225 16652\n4879 13388\n7058 15644\n13879 15346\n2990 3105\n5513 15914\n9061 13079\n9447 10422\n8766 9450\n4689 12852\n5457 15450\n4401 7166\n8696 16550\n2175 7448\n1414 6969\n441 10079\n4099 7625\n2695 15274\n1919 8390\n6186 15617\n2596 9455\n7617 14739\n4837 10638\n10762 14880\n13073 13988\n4739 6310\n7259 8133\n12273 15076\n3342 5712\n15363 15782\n7197 14929\n7328 11633\n9742 12401\n14509 16493\n675 3691\n11067 12046\n3499 16193\n5447 6269\n14524 16603\n7343 9888\n6773 16818\n3928 5055\n7960 17421\n3259 9572\n275 3288\n6470 15134\n5139 16378\n3586 4346\n2314 11844\n7953 14007\n3800 14378\n6252 16502\n846 4297\n3169 15363\n15390 17073\n11386 14345\n2267 11292\n442 8195\n10779 14109\n5904 6162\n8843 14658\n12917 15097\n1523 10509\n6816 15135\n6179 15542\n10339 16744\n9101 15581\n667 3033\n2638 3322\n7813 8196\n12014 13373\n3021 8536\n8315 9392\n8030 16061\n2547 3453\n5892 14863\n6709 12346\n2103 13673\n9935 14871\n6996 12314\n6921 11229\n5665 7333\n4507 6469\n10198 11132\n9614 9861\n10578 14276\n6366 7777\n4415 17297\n276 3372\n5629 9160\n12747 15076\n12051 13462\n6332 16772\n2781 9633\n2884 11048\n4957 13394\n7155 8154\n7724 12856\n12698 16978\n5839 9578\n3764 5555\n409 12739\n2739 16613\n8445 15581\n11882 11950\n9147 14452\n8893 16028\n2333 13002\n2232 8236\n2497 10852\n7170 7257\n4967 16330\n2012 7959\n3926 4497\n1518 3512\n5955 15632\n3624 7158\n10470 11316\n1702 12620\n1541 7075\n7770 16594\n83 16139\n13546 14745\n2622 9471\n7937 16260\n16112 17111\n9482 9819\n2242 15030\n4493 10357\n10060 11992\n1493 3887\n430 8036\n1492 16898\n11594 13378\n9342 9936\n12434 16337\n9118 9171\n5379 7013\n3500 6862\n1078 10012\n10585 11983\n2014 2246\n6182 13735\n4610 12200\n2307 15746\n8328 17220\n4446 7799\n2269 8972\n9996 10835\n3386 13620\n4882 13314\n11513 14695\n1391 5007\n5874 9886\n3873 14940\n5869 9375\n11264 12175\n8064 12153\n1745 8729\n6055 7133\n6302 11798\n2700 14756\n11405 14955\n3226 7020\n8850 9032\n14336 14515\n3790 15181\n9094 16648\n8631 9549\n1785 8984\n6311 16421\n3825 13398\n4505 12296\n9067 16899\n2402 8951\n8953 11978\n3639 6954\n2456 13890\n1729 3102\n3866 8311\n15575 17453\n5334 12172\n14228 15106\n1692 14323\n59 6348\n3666 13377\n9157 17390\n2333 7841\n8970 11182\n9141 12155\n3160 16287\n4297 13779\n7199 7579\n7179 15995\n11851 17205\n7895 8753\n14422 14735\n9165 12157\n9809 12365\n3086 11514\n6618 10830\n10497 17456\n2113 3478\n1317 2017\n12141 14175\n10337 16807\n10887 11189\n3916 8729\n3135 12095\n7840 11911\n4469 9500\n6249 6909\n3351 17260\n10025 14108\n2886 6623\n4416 12686\n1152 12260\n2141 6683\n2082 4086\n2849 5365\n4470 8735\n8622 9459\n2657 9037\n8025 10918\n2787 2966\n10342 12425\n2709 4392\n649 2472\n4055 6005\n7783 8929\n391 1417\n7631 12328\n1113 3689\n5391 6192\n9449 16886\n2504 5640\n2327 5043\n4603 10088\n863 11148\n1025 15480\n1758 10917\n1919 4621\n349 12795\n2911 15078\n1532 17120\n3871 14598\n4358 13834\n6320 13382\n1196 14424\n14813 16044\n4244 7404\n132 13902\n13142 13520\n2687 10003\n3608 3650\n10153 10299\n1818 3602\n546 12349\n1809 6978\n11129 13997\n10580 11198\n1109 4344\n742 9499\n4651 5063\n368 15758\n2224 5720\n12395 14278\n4438 14617\n46 15204\n2663 10533\n1739 11738\n11990 16098\n8246 13379\n1149 7641\n1262 4918\n9045 14158\n6885 14740\n6552 6878\n1139 14250\n12631 13511\n5754 13833\n14439 17324\n2444 14425\n903 3754\n5927 14775\n12313 13486\n4661 5034\n8239 14815\n1132 10053\n9501 10875\n6213 13197\n9851 11950\n12963 17033\n1221 1790\n8274 10861\n819 4630\n10454 14207\n8666 10096\n2099 13152\n8287 8795\n8508 15708\n5057 5959\n12935 13537\n8898 9612\n7787 13959\n11384 14997\n2966 15724\n7291 7462\n15423 17060\n6494 9770\n4883 13290\n10416 15727\n9264 9457\n1395 11793\n6010 10583\n5307 6728\n6255 15663\n2451 3152\n9568 17313\n414 9127\n5184 11509\n3671 14601\n6674 10243\n12069 15676\n1542 14703\n364 10015\n10278 16690\n3320 15091\n3175 3483\n5779 17399\n913 3123\n2304 5506\n2493 5446\n4721 11749\n2029 14570\n6959 13259\n5855 12119\n3670 8627\n4398 10445\n3318 11884\n3032 6585\n9501 12271\n699 16907\n1243 17084\n2036 9682\n375 730\n7239 7284\n5025 15628\n6244 10705\n4899 12713\n10095 11580\n5557 6580\n4403 6415\n7518 12560\n2709 14083\n9215 12189\n4752 15114\n4826 10614\n8423 16495\n2043 5877\n7085 12808\n1553 5044\n4753 9419\n959 12187\n106 11806\n9699 16920\n6470 9444\n1663 3317\n2667 4768\n1702 15522\n8257 9334\n3783 4566\n8779 14766\n8634 15644\n1720 6608\n105 9490\n3552 7231\n6339 7741\n980 16296\n5469 16557\n2259 7163\n5146 8010\n4565 11728\n13566 15511\n2711 8411\n1010 16934\n3380 8025\n6341 9398\n9172 10854\n3820 15436\n4740 9443\n7419 13316\n1633 14496\n10980 12888\n2949 15363\n12380 15850\n1145 11374\n4945 11506\n924 2509\n5102 11490\n4991 9415\n4621 6438\n11901 13273\n10418 11420\n5465 14659\n11689 13450\n7082 12509\n3293 15501\n10652 13182\n4546 17075\n9251 14512\n11829 13413\n4787 15629\n4758 6738\n10767 17347\n10226 16699\n327 10573\n10470 10556\n2606 15092\n10067 11183\n6881 7680\n9951 12735\n671 6758\n5830 14911\n7844 16515\n499 17256\n2957 5472\n5357 12176\n12789 14799\n6178 8203\n2183 3611\n90 16551\n1488 10475\n1748 4053\n8423 14296\n11893 15056\n7934 9893\n16118 17445\n12882 17038\n1193 10421\n2819 12900\n14296 15352\n12341 15323\n1750 12545\n4681 5877\n399 5540\n3400 5720\n5205 5655\n3501 11939\n1144 6244\n11327 13100\n925 12246\n1376 13319\n2796 10167\n6347 7458\n5764 17144\n11602 14471\n4328 5248\n6805 11256\n1114 8934\n711 15905\n1207 7901\n344 5596\n15056 16100\n11349 12653\n1162 15539\n6495 13877\n4121 6035\n1652 7786\n2286 15716\n2718 10896\n10578 12902\n7481 9222\n5129 5148\n717 4980\n4905 15067\n9132 10423\n3560 7663\n2804 10208\n5239 12834\n4508 15194\n3210 6252\n2746 11078\n10548 13571\n6489 14900\n2755 7357\n1770 16875\n10405 11160\n2408 16384\n4412 11273\n2101 10707\n4600 6425\n12108 14248\n4483 7062\n3585 4587\n13022 16092\n6148 7177\n9842 15561\n5604 16808\n500 6662\n12419 14746\n1871 6817\n6551 12986\n2498 15578\n7591 15961\n5584 15804\n4274 17100\n6542 10163\n6698 9600\n4078 7799\n1472 5299\n13221 15834\n5480 10143\n6136 13601\n9318 14531\n10863 14852\n13687 15084\n6997 13850\n12278 16878\n5065 5435\n6883 10713\n9265 17206\n4748 7304\n7279 17253\n1156 9446\n4585 7971\n6338 17086\n6275 16083\n5314 15590\n1551 5251\n6085 12050\n2848 13866\n10433 12405\n4064 13969\n7732 12378\n14310 14919\n10314 14639\n11282 14204\n1338 11151\n9139 16745\n2258 6083\n51 722\n6459 16631\n5005 9398\n1829 4049\n3727 7578\n2849 4130\n2165 15850\n2334 5869\n8438 17310\n1819 15180\n9289 10333\n490 16518\n584 9245\n7736 14327\n3824 10458\n5233 6296\n7409 10129\n1928 3047\n2686 4795\n4785 16918\n4192 16541\n4495 6341\n11872 14256\n14289 15508\n6330 6904\n7564 15467\n6780 9600\n563 806\n8596 10193\n7803 16493\n10385 14053\n4307 15498\n8852 8940\n10591 12544\n11863 13721\n5574 12305\n3575 12481\n3290 3378\n2523 15059\n4578 12511\n7798 8513\n4897 15466\n1835 2687\n9027 9769\n3439 4721\n4161 4534\n8564 13268\n5931 6898\n2973 12270\n7765 13723\n3924 7315\n2029 6611\n6569 14592\n470 2292\n8966 12186\n10432 17342\n5134 15236\n6622 10047\n4693 7815\n5777 9307\n6569 15335\n8245 10215\n6515 16036\n6027 10643\n2088 7560\n5126 9150\n698 12366\n3423 12405\n1090 5700\n10086 12555\n397 14470\n5940 11807\n8198 12360\n14063 17277\n11067 15245\n10570 14285\n370 11950\n12533 13117\n1630 11383\n1627 5604\n15347 16532\n145 5085\n4959 9886\n5092 17300\n746 15542\n15070 15101\n8484 16449\n10910 15993\n5207 10325\n8442 15234\n4868 5635\n2908 6847\n3796 13411\n4582 4696\n2538 12518\n1206 16716\n9782 11147\n3626 12244\n4887 14292\n13388 14126\n9329 12762\n4729 14602\n9608 10716\n383 14487\n9442 14023\n2899 7372\n6708 16903\n1581 14442\n12576 17097\n10157 16162\n12072 13983\n200 10479\n2528 13388\n8771 12371\n14537 14914\n3149 11283\n3366 16666\n5077 14801\n5161 7388\n15661 16533\n9095 11662\n4232 9650\n3309 11927\n6365 10010\n13219 15072\n7604 10060\n7553 8052\n1847 6393\n11080 11900\n4031 5591\n6247 13876\n2308 14828\n3727 8327\n6130 13677\n1981 8183\n1829 11782\n357 11488\n582 2044\n11500 14393\n9290 13600\n10720 14933\n13258 15772\n14104 14609\n13810 15566\n74 2962\n1523 17208\n8679 10445\n14170 15394\n4242 9471\n7505 14807\n14797 16087\n5391 8552\n6779 11489\n5416 8075\n3994 12321\n3552 7177\n10911 13241\n8258 11452\n6685 12067\n9859 15431\n620 4616\n2223 16108\n8796 16370\n2406 14108\n1747 2172\n1091 9789\n8786 15973\n14769 16126\n7542 16687\n10865 13099\n7293 9041\n3629 3683\n13243 14780\n3459 11757\n10422 16306\n9295 11155\n14725 16710\n10377 17064\n238 4653\n10020 13449\n996 5394\n6365 13999\n3595 12274\n7034 12521\n6410 16953\n11478 14322\n7778 16967\n2798 10303\n3283 12879\n49 14446\n457 15037\n5931 16129\n11154 17035\n1668 11996\n13563 16656\n2675 16856\n2683 7942\n10821 14532\n3716 7220\n14778 16081\n1027 14416\n6221 9229\n7298 17252\n9559 14029\n5759 6287\n3445 10507\n2064 2650\n3859 6412\n3620 4473\n5441 5631\n5092 6918\n4945 9073\n15044 16922\n3644 4845\n1090 9889\n7230 9722\n14782 16467\n805 15429\n8991 13447\n1357 15457\n12756 13792\n17220 17409\n12518 17393\n6447 9075\n12623 14680\n3539 14887\n14215 15865\n9609 10745\n12476 15588\n8280 14572\n4385 10471\n4137 16452\n8698 10332\n2345 16979\n3192 12476\n2049 9282\n12561 15179\n4352 7171\n2663 7253\n6480 9809\n7637 13987\n8035 15794\n1970 2271\n192 14463\n7681 12611\n1103 4370\n1380 1805\n6390 11149\n12636 13268\n4923 13945\n16772 16787\n9756 14948\n455 3884\n5434 7302\n939 1637\n8772 11299\n4816 9991\n3970 11303\n1616 12689\n10069 11262\n1261 12498\n3365 3388\n2888 4570\n6807 16982\n7147 10893\n4874 13143\n14781 15444\n1184 4730\n11381 17270\n4924 15819\n24 5116\n5228 15689\n10762 14789\n6865 9553\n9587 11015\n11991 15964\n1703 15543\n2478 14068\n8265 13814\n5360 10187\n3738 12624\n4711 6788\n13890 16564\n12070 13138\n6112 10448\n4671 7582\n1677 16445\n13059 14795\n6019 12593\n3227 6672\n3668 7721\n9587 12053\n5519 15619\n6447 16301\n15945 16638\n2570 5023\n12404 16588\n7356 12964\n8256 15565\n10722 12137\n8702 9101\n1346 2753\n2987 15505\n7095 15767\n5690 8168\n6450 13397\n4061 16111\n8469 8924\n928 13439\n5310 15058\n4986 15330\n9947 12479\n12562 16662\n50 16689\n3379 13248\n3083 12643\n3065 4904\n7964 9164\n12525 14748\n5305 17373\n1074 9684\n12935 16537\n4786 10424\n15263 16422\n12220 12332\n7994 12541\n8189 11116\n1088 10509\n3583 12446\n5067 15579\n5906 9248\n1086 4194\n9661 13156\n4648 9988\n4888 5907\n402 11627\n596 4596\n5911 15168\n5833 8389\n817 3064\n3968 14438\n290 12129\n12993 14952\n6471 7184\n5312 11191\n14513 16948\n14497 16796\n6380 14165\n14889 15387\n14920 16843\n2593 15632\n6740 11310\n2586 11263\n5731 6788\n1200 12985\n1709 11403\n4005 11120\n9820 11717\n7438 7688\n977 15111\n694 8781\n2710 5487\n8684 11493\n6305 10740\n1154 5172\n3678 8245\n9556 14638\n3864 6210\n7005 16128\n7426 11850\n8818 10224\n4786 7340\n4765 13219\n26 1441\n154 3221\n102 10041\n5668 13562\n1384 12150\n9894 15640\n15002 16036\n3530 10035\n11061 16997\n5197 17290\n12298 15311\n10157 12761\n14948 17159\n12067 13832\n4757 11369\n8168 10077\n3135 10302\n994 2394\n6386 15627\n10947 11236\n9181 11671\n10904 12667\n6665 13522\n13087 14299\n1393 5537\n1701 12462\n2027 5916\n8538 11533\n1942 10561\n997 14224\n5313 6231\n3379 5405\n11052 12464\n627 17066\n2118 4760\n5741 10042\n2051 9550\n728 10385\n14627 15411\n7458 8310\n2056 3094\n2493 4759\n4165 10158\n11134 11243\n465 13194\n3021 7730\n11656 15418\n1345 4690\n5951 16179\n5483 15701\n15433 16194\n12107 13323\n7263 17302\n4268 12372\n10168 11798\n365 14161\n1705 12149\n4216 10962\n12380 17441\n11107 16278\n8159 16802\n1972 11795\n6156 13021\n9245 17300\n9664 11778\n3570 11206\n2684 12681\n1141 11979\n6871 13506\n2430 12712\n9689 17353\n2614 8116\n5251 10892\n985 2375\n4349 4947\n9622 13524\n8326 10275\n4991 6703\n5283 8226\n1810 7945\n10834 13403\n12623 15430\n9176 16673\n15163 16728\n2347 16051\n6260 8581\n12511 14262\n5310 17300\n5286 8140\n7929 11152\n1319 9068\n555 9401\n6777 16629\n1965 11237\n4399 15609\n8822 10726\n6145 15811\n245 4459\n13979 15330\n3232 10187\n4364 7100\n9228 9493\n77 13130\n4192 11260\n1991 3941\n13631 15767\n9690 13855\n9078 16797\n721 15913\n2313 10053\n2522 7543\n11891 16804\n2348 16127\n2527 11236\n1635 9710\n1668 10898\n1123 13280\n7920 15441\n14256 17069\n3798 14871\n13017 14416\n5961 15944\n1184 15906\n6067 8193\n3370 8865\n12199 17024\n12074 16945\n13061 16712\n4733 11207\n889 9236\n223 14113\n4489 6475\n1241 6409\n6142 9687\n1991 2563\n6227 10818\n1820 13241\n7374 16451\n786 3926\n6546 8830\n10781 12132\n9777 14547\n689 8869\n13022 17007\n3339 10426\n194 3767\n3285 4966\n3397 10762\n594 10728\n3556 10681\n1536 12369\n5191 12318\n11790 16527\n9262 12191\n11838 15716\n2970 13785\n1519 7022\n2970 13424\n3548 10523\n9126 15636\n492 12910\n5993 12122\n1739 8249\n4759 16849\n4938 11478\n7953 9464\n1236 1369\n14973 15801\n3382 14063\n10419 11387\n11041 14090\n5026 15748\n6030 12311\n2441 16298\n3337 13575\n3723 17441\n3572 13275\n7428 13805\n9564 14730\n11744 15226\n3520 15337\n894 11021\n14138 16384\n3369 9064\n54 13808\n295 15341\n1863 13510\n10503 13322\n7171 15591\n4099 14729\n15008 16847\n2985 5301\n6584 12531\n1328 16323\n12035 15154\n13092 16665\n5383 12459\n4078 8863\n3746 9378\n8867 16003\n2776 5170\n2790 16929\n6784 7023\n3542 8811\n1229 1709\n5979 10448\n10976 14875\n5722 14892\n9684 9856\n1599 15443\n8853 10748\n11547 14496\n4894 13543\n5306 6114\n13654 16367\n1286 6645\n1470 3112\n11840 16215\n6158 13596\n6243 12853\n2967 14785\n10324 16740\n3362 12019\n4905 7389\n584 13820\n4095 9270\n2531 8653\n846 12596\n13870 15608\n4154 12320\n3365 12702\n14123 15484\n7655 15526\n9903 12689\n14994 17249\n5221 10729\n3681 16788\n8432 17374\n6126 6338\n10195 11600\n11309 12842\n2140 8516\n5202 14478\n3447 5685\n3817 16978\n1644 12289\n9740 10866\n3429 9605\n4498 6640\n11597 13093\n7688 9108\n7804 16639\n5113 15834\n1200 8113\n5817 16761\n747 12612\n8122 13013\n9045 17427\n3550 16964\n2614 11028\n1156 14671\n2681 11282\n10057 16399\n6846 12101\n10535 11125\n12092 15391\n4060 6440\n9340 10464\n7558 8475\n1148 7615\n462 14958\n2064 15625\n5378 8289\n3271 15272\n12355 17142\n6142 12202\n675 4450\n10227 14409\n11101 13196\n9534 15870\n2444 3698\n11426 16708\n11055 14583\n1386 4319\n2008 8855\n284 9078\n536 14681\n6265 12675\n9861 13417\n10612 16549\n864 5941\n939 15546\n9172 13035\n9248 10701\n5159 6887\n8748 10513\n4922 14297\n6311 15113\n4450 10587\n5679 16242\n14758 14962\n10940 15107\n10658 17301\n9465 13106\n4283 5964\n11440 12965\n10852 12578\n738 1245\n7754 10635\n20 6321\n522 15503\n2849 4801\n3915 16973\n1241 16247\n8124 11660\n2744 16437\n15443 17172\n2906 15382\n475 1080\n2209 14077\n15911 16965\n1578 2983\n1010 5434\n12556 14836\n1878 4911\n3270 13328\n10031 15008\n1333 1389\n79 2207\n9311 11880\n5128 14140\n5382 15587\n3418 3605\n7667 14031\n12722 14243\n4764 12216\n1474 4363\n4872 6061\n5375 13368\n6419 11915\n16010 16384\n10282 17351\n1021 4726\n1052 11128\n1961 2346\n4687 12704\n4588 12857\n11048 13143\n13506 14239\n554 4441\n7796 16846\n13559 14847\n2649 8719\n10817 15264\n316 9774\n7321 12316\n2663 17159\n3606 9556\n571 16255\n8105 15943\n7456 12390\n13354 13762\n1252 13288\n4361 8676\n3810 5073\n7081 10524\n1324 16128\n7631 12604\n3375 7161\n6210 6724\n441 10774\n8840 14563\n6090 16479\n3642 13480\n5152 10047\n4210 13123\n820 4677\n136 17189\n2542 16700\n3616 3873\n910 11674\n5816 13244\n1259 14502\n11559 15085\n5886 15596\n371 4768\n5656 7419\n4557 16107\n5906 11191\n2668 10840\n3487 16658\n271 11128\n3701 14020\n7642 10700\n4578 17234\n8582 13833\n6990 15576\n70 15164\n5134 8883\n11703 12623\n880 11277\n9365 15526\n1111 7352\n1860 5379\n12094 15205\n957 11557\n11385 11410\n3633 4044\n1106 12142\n12078 15111\n1280 14810\n5427 16646\n8259 11833\n841 2303\n9181 17006\n14584 16648\n8202 8616\n9123 10638\n1836 11583\n2932 5612\n14244 17462\n3465 10592\n4412 14902\n11914 12579\n11282 14804\n1684 4285\n4619 16193\n3844 8497\n61 11855\n15371 16997\n4041 8862\n2993 5839\n1918 9983\n3111 8560\n9152 9424\n7279 10285\n12552 16494\n262 15274\n6906 16473\n3202 4837\n10523 15753\n12717 12734\n7514 10766\n7525 8189\n12813 12873\n287 15676\n5918 14594\n773 11189\n12902 15216\n2401 13935\n7028 11390\n6067 10945\n4166 13155\n6280 7019\n2920 6007\n1723 4500\n9912 16234\n5268 7935\n138 4877\n10968 16329\n6387 13553\n917 1012\n7039 9072\n6585 9885\n9951 16213\n5537 11844\n653 3812\n10466 16747\n1495 3542\n3913 4988\n6126 14383\n521 15658\n798 13145\n10349 15722\n25 12527\n6055 10813\n2726 10653\n12866 15019\n14027 15049\n13803 13913\n3607 5941\n2601 13901\n2634 15701\n1648 15092\n4366 6730\n11526 15819\n1346 3795\n13211 15951\n6251 13713\n8966 16245\n4653 7827\n10674 15922\n1949 12614\n2073 6876\n633 10720\n3653 5338\n3101 5227\n9273 10489\n5665 6594\n3007 13718\n4180 4492\n8401 13550\n1232 14921\n7341 7398\n9846 13495\n272 15332\n8895 17312\n742 10115\n7284 9552\n5194 9170\n1844 9073\n3368 13158\n5201 8907\n6010 16212\n4123 13781\n6701 13334\n3575 13541\n15947 16081\n2307 10062\n3251 12683\n38 16821\n6573 9358\n1842 4563\n8202 8761\n8548 12979\n3870 8876\n8600 13107\n12565 13441\n2413 15013\n1940 8553\n8364 10990\n7126 17396\n9545 13287\n967 13581\n10483 13873\n167 4128\n4054 12018\n5832 15032\n3673 17422\n5080 6111\n734 15248\n2614 10595\n3950 12507\n1572 4577\n2485 10170\n1085 5127\n3228 15294\n5334 8351\n5906 8029\n361 2189\n6449 15275\n7620 12192\n2582 15223\n5886 15543\n10611 14122\n163 15623\n9189 14054\n9513 14237\n14430 15294\n4101 9384\n5123 10734\n5126 15797\n590 9174\n2024 12521\n9965 10906\n1975 4407\n3491 4782\n7139 9360\n5335 11929\n11104 12786\n10271 12202\n8231 11914\n1958 12191\n4477 9893\n10820 14020\n2491 11479\n4618 9563\n10531 10584\n1122 5675\n4310 9716\n2718 4122\n3296 11678\n1385 4731\n2032 9063\n2420 5132\n14376 15592\n5361 17205\n8230 15911\n9021 16851\n2545 7179\n7034 14561\n15965 16901\n3512 10530\n1075 3422\n6543 8395\n2767 6211\n2006 2137\n5680 15829\n1399 14841\n1545 9137\n1466 10325\n2260 7805\n4671 5807\n13990 16463\n16732 16873\n7462 14245\n3761 14679\n775 4287\n13372 17310\n3423 5072\n3154 14309\n7850 16060\n9581 17364\n11707 16369\n10706 10899\n3967 16067\n14444 14497\n14507 15315\n7022 7754\n2538 14870\n13664 17197\n2023 6008\n895 11956\n4110 6210\n3980 17074\n4947 15147\n434 8165\n8156 12035\n407 6138\n5308 7891\n5651 9482\n13473 17207\n5730 8748\n13918 15678\n7571 9134\n2813 11821\n1294 15085\n12528 15694\n11710 16002\n1780 13971\n10517 11316\n16671 17240\n9277 14089\n7636 10476\n727 9461\n11941 12965\n1978 13322\n4194 16187\n306 5162\n1655 16149\n4157 6463\n621 2964\n4541 14586\n14895 16173\n3344 14423\n156 5609\n14903 16507\n10943 15946\n3346 16715\n6218 8486\n902 9265\n2961 15240\n4720 5069\n9374 10117\n5526 13096\n304 503\n4701 17365\n9692 16568\n11595 14763\n1424 11580\n8058 12193\n6713 10309\n13593 17137\n4253 6611\n3789 10692\n1656 10251\n1561 2775\n2014 2226\n7563 13804\n3297 12871\n10467 16283\n3236 11028\n5427 15169\n6380 10983\n5582 12124\n5652 15348\n4667 5221\n15108 16466\n4993 14127\n2063 14377\n808 16393\n4154 5520\n2406 8853\n3774 12036\n6264 11044\n6326 14974\n502 14817\n2361 17140\n4984 6434\n12053 13589\n7833 16298\n1563 2882\n685 13139\n6029 12191\n7462 10374\n9683 11387\n821 4426\n3649 11426\n15112 15391\n7030 17105\n4617 13001\n12577 17295\n320 1361\n1579 9192\n3476 9166\n15411 16127\n3520 5851\n3419 3747\n359 14203\n1841 2870\n155 13434\n778 7984\n5205 11424\n1520 14175\n7085 12628\n1494 9790\n3968 13586\n1263 8749\n2352 11848\n823 1852\n12797 14465\n1963 5768\n12997 16659\n3565 11576\n6119 15789\n3118 8522\n3325 7222\n5878 15012\n8982 10827\n16479 16559\n4702 5995\n681 7863\n2443 17079\n5556 11014\n3660 5022\n9554 17389\n2191 9985\n10442 15428\n8661 13060\n2425 15897\n5845 8661\n6456 15977\n5717 8124\n6502 11669\n5173 12713\n9218 9380\n2672 9405\n1122 3511\n1903 15323\n3762 15109\n724 7158\n6045 9242\n275 13749\n9771 11459\n7134 16267\n12256 13282\n10754 14094\n7461 12770\n2473 14478\n5619 13524\n7023 7174\n1322 2124\n3222 8766\n11321 16895\n11312 11918\n10094 10721\n1482 15601\n2670 9988\n7655 16771\n2368 5390\n3838 13627\n10341 11813\n11119 12091\n1515 12797\n9683 11844\n5630 7400\n7724 16394\n2140 6522\n1186 12010\n6284 17250\n5572 6843\n1991 13951\n12894 13425\n13145 17434\n2403 17371\n6081 13833\n866 14878\n14861 16823\n3547 16994\n6811 11724\n4574 4886\n2154 4686\n2991 7307\n893 8417\n5004 5016\n7610 12560\n3292 5509\n5372 5722\n3316 16802\n2759 7622\n7142 10976\n2024 11650\n1830 3815\n1759 6713\n5990 9738\n13980 16809\n66 16791\n13293 17252\n2242 3681\n11361 15853\n1046 15241\n15350 16948\n3564 4468\n153 6363\n4993 17271\n4465 15505\n8248 15158\n7840 11048\n3579 13846\n2056 12731\n11640 14611\n7154 8629\n6626 7818\n6900 11044\n7050 9185\n8315 10166\n6353 7138\n811 3387\n3459 5408\n5111 13973\n10533 13297\n16554 16652\n4115 16731\n407 9197\n5718 10572\n9635 13765\n1067 2551\n4389 8741\n1917 15878\n8663 11103\n829 4087\n1496 2376\n1483 5249\n7357 11944\n12545 13801\n931 16356\n9618 17092\n12878 15492\n6947 16938\n8550 8567\n14915 16380\n3244 10668\n8257 16902\n11235 15849\n1348 12314\n3024 16410\n11982 12585\n1697 4640\n2256 9476\n7981 15968\n724 8480\n2505 9036\n9295 12170\n7473 17215\n7743 16057\n8339 12830\n2527 14615\n6753 10839\n1759 2131\n2853 15401\n485 14511\n10796 10956\n1639 11816\n5161 9732\n2699 5816\n12994 13803\n8314 17413\n1401 17418\n7626 14157\n11082 15288\n7002 9836\n12124 12899\n1540 1637\n476 3530\n3019 10882\n257 8489\n438 7821\n6840 15777\n1885 12130\n11429 13704\n3406 13733\n9540 15003\n3578 13442\n6956 11894\n9775 13691\n11929 12492\n2474 7088\n11893 13192\n8360 10839\n7874 9579\n8354 11832\n3511 4388\n7051 14682\n4880 15603\n2178 5784\n7055 7549\n6630 10956\n6713 14731\n7084 14436\n645 17206\n8790 16412\n3921 10098\n15316 16597\n408 8131\n5975 6969\n1421 10566\n2437 6869\n3376 11588\n8602 16169\n1438 3439\n5932 10871\n1139 13226\n8551 13885\n1066 15453\n3327 12520\n6701 17093\n1926 2763\n508 14812\n14790 17120\n1531 6669\n4808 15812\n4895 12112\n9602 11257\n9695 12685\n1718 10927\n1654 1974\n2401 3516\n1724 14563\n2442 7498\n5825 9194\n10948 13610\n15076 17340\n2823 8285\n3948 13259\n11465 13629\n3337 4676\n12659 16069\n4716 9639\n4504 8115\n10917 17050\n1802 14109\n6028 15586\n14045 15927\n2210 11245\n6686 16092\n4856 8165\n7655 9988\n8068 15296\n1985 5834\n4737 14149\n8319 8830\n9143 16464\n7438 12934\n11098 13587\n6706 7946\n2576 11366\n2903 7767\n2482 6030\n2144 6075\n159 12250\n1630 11615\n1554 15029\n6586 9668\n12531 15900\n6410 9273\n13410 15693\n3764 5375\n447 1359\n6089 10241\n13387 15894\n14795 15886\n2515 14000\n4206 12424\n3321 8368\n9414 16608\n16168 17070\n8860 14715\n3901 12400\n8864 16884\n102 12729\n11465 17261\n23 9637\n2963 10846\n10606 10631\n13221 17175\n7943 14757\n9709 13604\n860 4619\n11274 13426\n11789 16018\n6039 16927\n15029 15393\n11929 16199\n6969 16867\n13254 16683\n8976 11716\n7750 13347\n12618 15705\n3864 12048\n11553 17197\n4955 5383\n6072 8323\n4421 15138\n8003 16746\n2500 8576\n8 10075\n5042 6975\n4387 7753\n12325 13318\n8255 16645\n2408 8406\n372 9924\n1362 4184\n12591 13782\n9147 12470\n3755 7561\n8223 12084\n5737 15073\n6775 9149\n3639 6190\n179 2597\n14866 17152\n7670 17170\n3691 10666\n2984 13740\n2602 6463\n186 17054\n1245 8519\n543 7971\n5868 7642\n4728 12657\n6653 7096\n6188 14976\n434 16392\n3570 10938\n12383 13449\n6481 14141\n10364 14963\n5227 12410\n3686 13034\n254 4382\n1811 9264\n2938 12393\n3189 5474\n6633 15980\n1654 5801\n13426 14042\n1703 5881\n263 12290\n10096 10502\n2671 3988\n1553 8429\n14646 16185\n1061 4679\n13072 15848\n4703 6485\n1507 1692\n2579 6171\n8595 8901\n906 16033\n2340 16898\n4183 9784\n4399 11322\n4880 9368\n9116 10279\n7958 12506\n3883 14671\n4957 14147\n3775 8956\n8212 12414\n3137 4940\n2418 11862\n14603 16883\n12747 16958\n9906 10499\n4449 14837\n8116 12103\n9252 15125\n352 10945\n950 975\n3050 6903\n6692 17130\n352 1857\n14299 16446\n7377 9579\n6099 7725\n608 6343\n7035 10408\n10509 15358\n913 3902\n5027 6786\n4353 14293\n904 11706\n5898 13817\n7478 17125\n14299 16077\n2105 16165\n6881 11849\n11678 13612\n11627 12541\n6791 10947\n666 12802\n3956 9268\n6255 7792\n993 15247\n972 15897\n431 13476\n2814 10924\n113 12326\n901 7334\n10681 14686\n282 7192\n7783 14567\n2857 7786\n8127 17233\n12338 16425\n765 16993\n2066 11812\n7306 11417\n3684 4293\n6562 15408\n7262 8414\n8453 11371\n1754 6578\n5577 13818\n2543 15333\n5347 14425\n6394 12100\n13750 16337\n7957 11949\n3177 11719\n12754 16003\n5082 8813\n2005 11355\n10129 15402\n9533 15939\n2037 8158\n3250 12584\n934 7538\n11211 16068\n7626 17218\n4447 15950\n1949 12164\n11444 13267\n2354 13396\n4292 8322\n2447 3374\n6795 14616\n892 9776\n17147 17160\n840 3625\n9617 16939\n4859 8116\n1703 5428\n4644 14367\n5861 15485\n6131 14036\n6502 17358\n6683 11331\n4551 8993\n5656 9778\n9307 9834\n10813 17321\n4131 6765\n1220 4337\n8605 11297\n1134 15360\n9108 16185\n3904 7867\n4174 6530\n3491 4473\n5626 14786\n9526 12783\n4415 6432\n9490 15854\n14953 15314\n2509 12594\n10487 13878\n3075 4752\n8427 9714\n654 16763\n2181 8526\n2010 7816\n15871 15898\n7530 10286\n900 11587\n12274 13186\n220 6385\n1661 16042\n1440 8720\n5211 8970\n1856 7522\n8957 15062\n3412 14777\n7215 8259\n1652 2280\n3470 11144\n74 13454\n3805 13524\n11312 14961\n2161 7349\n8481 14641\n8785 16097\n1350 13199\n2613 14816\n6731 11690\n3342 8130\n3502 9409\n12875 14665\n3519 16158\n6595 11896\n5703 11242\n1834 14417\n6756 16221\n15515 17196\n8056 15329\n2127 11183\n9032 10476\n2251 2338\n8038 11690\n1410 9651\n180 13887\n10513 15946\n9331 10477\n375 16958\n344 1163\n152 2898\n4570 14207\n465 12472\n8417 13815\n10257 12752\n1162 4631\n345 10705\n13832 17204\n7426 14692\n13058 14444\n12248 12737\n4790 5230\n468 14522\n2207 7299\n13205 13695\n1248 17182\n5857 5999\n5551 14994\n2663 3708\n2803 12822\n6666 15653\n5274 17402\n12839 13521\n5937 14363\n11791 16970\n1316 7898\n6235 15519\n12915 16624\n4656 17271\n3532 7134\n1398 13215\n6709 8172\n8307 15805\n2721 13169\n3192 12088\n15109 16962\n4466 17440\n10421 15588\n14159 16290\n3105 15036\n10985 14144\n8902 16324\n435 7935\n6619 13158\n2069 4537\n3521 5988\n4533 9991\n13570 14360\n3200 13109\n10429 12592\n8509 15641\n2795 8114\n6056 17243\n3285 7320\n5794 7997\n11346 11671\n14018 14752\n1229 4786\n702 7849\n560 9107\n467 2672\n234 6413\n10164 13809\n1260 16322\n3232 4834\n10235 12647\n4320 11307\n2552 15894\n2188 3230\n3250 3541\n3238 5198\n8105 11399\n56 15004\n774 16029\n2509 11174\n6828 12721\n7686 16735\n3519 5492\n1061 12141\n584 10910\n10743 13447\n3983 9901\n1258 12410\n4707 14021\n11364 11752\n2228 11103\n10611 10882\n11884 16292\n8279 13756\n2106 2964\n214 4115\n11225 17362\n5758 8565\n6479 13215\n6608 13285\n11333 17265\n9594 13229\n9082 11182\n3123 13545\n3301 6881\n5368 13586\n2572 8641\n887 16563\n4521 6049\n2896 9635\n5213 14031\n3356 6921\n3058 9716\n2361 4050\n11029 11874\n6720 11082\n5088 10191\n635 16052\n15855 16039\n4466 10128\n3777 11067\n4224 8469\n5121 6234\n663 2674\n13764 15870\n13749 17188\n10 13381\n3200 12107\n432 12698\n11138 17188\n8983 12999\n5181 13266\n6253 9179\n3926 13891\n3317 16002\n16247 16965\n10473 13407\n1209 17048\n11546 14680\n7240 10975\n4141 15283\n8515 8913\n2614 16477\n6506 11574\n5024 15862\n96 7922\n6601 16870\n6836 14149\n4724 15215\n13271 16656\n1004 10740\n6294 12984\n1915 1993\n5770 15181\n5103 7051\n13621 14138\n10551 13135\n5530 15605\n7116 15659\n7668 15604\n5053 5348\n7044 13887\n8402 9632\n9338 13784\n7665 10372\n4426 5617\n7960 9419\n443 8109\n11145 14607\n5076 6338\n3774 14896\n9269 13309\n2632 12084\n4250 9737\n7193 13719\n579 16975\n4335 4437\n5286 11121\n2092 14474\n4874 6374\n1922 12673\n10073 16942\n7855 16071\n4021 17083\n44 14049\n7520 14556\n2975 9035\n5156 11218\n978 3072\n9868 16300\n4599 11212\n14732 16015\n3367 15910\n6900 12625\n9351 11765\n1644 10120\n5142 16573\n8390 15022\n5824 17237\n1140 3196\n2497 9337\n431 16837\n11665 16493\n14652 17372\n9632 15784\n2397 11010\n9403 10523\n12058 16640\n3749 11491\n928 15175\n3587 16937\n15830 16644\n793 11275\n2448 17045\n13025 17451\n13866 14011\n7439 17135\n6353 11751\n539 3318\n284 15214\n5291 17366\n6183 13417\n1477 12377\n980 11416\n242 10215\n2358 4222\n40 3541\n3094 5003\n255 5291\n131 11328\n4670 11422\n2694 3533\n4424 14840\n6652 9911\n8283 11605\n1413 1461\n4828 6621\n4593 7663\n4663 11128\n3733 5316\n1764 16732\n11215 17370\n5302 6923\n1218 3832\n5977 13438\n3352 9153\n11077 12827\n1941 11612\n9395 17100\n2873 10042\n6043 7411\n1979 8525\n10994 12209\n3569 11904\n5241 16848\n3117 4330\n8555 15862\n6356 12488\n817 13666\n11699 15223\n9870 15806\n519 16234\n2711 7614\n1819 3472\n2621 7687\n10370 15291\n13692 13968\n11376 16288\n2024 3457\n14250 15918\n12814 15758\n3295 13654\n2489 14652\n15571 16095\n6064 10491\n677 11784\n1700 13192\n7783 11055\n1012 2679\n13907 15589\n1258 10887\n5141 15717\n3993 10298\n7573 10580\n7375 15040\n3430 8333\n2661 11176\n2022 3178\n10543 16877\n13136 13901\n603 11057\n14679 15792\n3750 17260\n394 10190\n10006 12365\n7369 15448\n8185 9581\n10837 14213\n2764 7642\n2721 10914\n13578 15843\n4352 14791\n4821 7986\n9325 16132\n199 5037\n710 7513\n1655 13351\n14599 14863\n2304 4919\n5629 7154\n10025 12887\n7378 8269\n1698 6179\n999 5057\n1866 5881\n14803 15171\n6054 13490\n556 13980\n10139 10430\n3481 15126\n2539 11890\n5813 9930\n1793 12313\n1298 4640\n9279 12829\n10924 12812\n1735 7330\n377 6333\n6186 7151\n8296 17349\n5075 13400\n39 5834\n2158 10727\n10721 16059\n13 10336\n9190 16886\n2382 9690\n5052 14069\n8561 17352\n5489 12015\n3742 13538\n1722 13282\n10783 16492\n799 835\n7788 17254\n710 7775\n1849 7357\n2913 11369\n5180 7890\n6349 11858\n15665 17279\n912 13072\n108 8533\n5912 6302\n784 14490\n1996 14747\n3659 16462\n1420 5864\n5370 15650\n8198 11897\n64 11309\n2264 15468\n13311 13844\n11691 17174\n6001 13824\n7427 8340\n6809 12289\n12570 15625\n2441 4599\n1144 12389\n705 9425\n438 10604\n5761 11650\n9446 17163\n6337 9946\n5521 17032\n206 7779\n455 16853\n14573 16629\n1445 16019\n2033 3396\n2872 10564\n13370 15809\n1298 2946\n12598 12832\n6048 10631\n4781 10635\n7034 10228\n14235 15247\n3391 8362\n788 2896\n13134 15763\n3438 13465\n350 3315\n1395 8267\n6671 10527\n1377 17201\n10962 14189\n1964 15402\n643 12154\n14667 15745\n9912 10640\n2289 6727\n7576 9540\n12987 13870\n7858 13365\n752 1410\n10352 16961\n2575 3873\n5586 12263\n2062 10440\n6764 7824\n13501 16372\n4944 16969\n6079 12651\n4008 5872\n12280 14397\n8531 9231\n13882 16777\n9450 15591\n5123 15826\n1328 14315\n7149 13582\n8588 17262\n5456 13183\n4749 17164\n1818 16245\n16821 17042\n3934 13628\n967 10511\n3389 4958\n4055 4501\n7211 16040\n3072 11381\n2525 14323\n748 16826\n6031 12199\n11243 16955\n4209 8480\n11061 13376\n5932 14133\n3380 4454\n12756 16439\n991 4150\n3932 11659\n4010 13936\n3108 10236\n11572 14186\n11911 14570\n1827 9873\n646 8312\n4367 17458\n12096 16282\n10528 13017\n8767 10692\n3610 17141\n9258 9323\n3724 14517\n7996 16601\n215 344\n2405 10026\n14215 15595\n2850 7428\n8893 12047\n4881 9923\n12100 14371\n8103 8866\n2360 5372\n6109 13855\n7884 9071\n3963 16784\n7431 12105\n8018 8412\n10347 12105\n814 7652\n1055 16161\n1887 10782\n9236 13452\n2580 14265\n5330 9885\n2450 5181\n1038 12601\n11180 12059\n2242 14345\n1518 11672\n11110 12438\n1514 5382\n409 3039\n235 1583\n7335 16652\n16813 17395\n5530 7334\n13581 14366\n3705 5369\n13729 16270\n2303 13613\n1088 4727\n6909 15304\n8510 10221\n6607 8565\n3744 15679\n9115 14114\n11095 16030\n9811 11971\n1359 5880\n7772 10853\n11676 13964\n3028 15810\n10133 14341\n13892 16649\n5688 6630\n7789 12443\n5649 8060\n2624 14667\n1233 11541\n13586 16474\n1658 16989\n4962 13894\n11718 12493\n8896 13195\n7843 11517\n11768 11894\n8693 15852\n8598 10856\n8163 12592\n901 13606\n2227 8987\n207 14686\n3412 14347\n16733 17452\n92 4672\n3328 5160\n10659 11372\n1190 13621\n3817 8160\n2316 3193\n2016 6730\n2253 15932\n6976 9091\n4710 16363\n11681 14166\n9226 13389\n8755 9821\n15353 15848\n9832 11163\n2530 11944\n13992 15451\n4240 7807\n4467 12788\n9422 12862\n3190 7156\n6522 6752\n4211 7202\n7484 7810\n4702 5602\n12753 15168\n5161 7777\n1224 7827\n6625 12221\n6874 13418\n7610 12356\n2208 14632\n6648 12064\n1940 15464\n2543 6531\n13239 15516\n6502 16789\n13010 13908\n3539 10212\n3092 4969\n9594 10125\n6342 14950\n4248 7829\n10251 12972\n5323 16353\n4646 12477\n3901 13856\n823 12058\n2417 15902\n12 6029\n2094 11315\n2547 8682\n8680 10481\n4844 16580\n4017 15386\n15297 16894\n9700 14384\n5388 7292\n3662 9809\n3276 7184\n8222 12113\n4788 17405\n4713 5688\n8830 13835\n1978 16909\n8597 10775\n6765 9160\n4224 12561\n2611 17120\n183 13345\n354 1198\n1791 9064\n12506 12932\n5326 12537\n13677 15778\n2977 16846\n7557 9981\n9245 10977\n153 4960\n6878 16244\n7093 10803\n7016 7480\n6110 13683\n4839 13956\n3072 6176\n4865 11479\n7714 14266\n11664 15427\n8964 10217\n83 4932\n53 7220\n2183 3853\n11760 13500\n15661 16467\n9979 14266\n4683 13730\n191 6056\n4869 5936\n10200 10944\n4601 16113\n8184 15962\n123 10085\n2632 6354\n1713 13793\n6823 16942\n7076 9752\n4168 5809\n2583 6275\n3941 7688\n1830 9281\n5782 11691\n6270 11626\n2744 17458\n15481 17405\n16235 16676\n10978 11313\n1606 15471\n6154 14812\n316 8073\n3136 17165\n3585 17296\n1874 13805\n10325 13798\n7527 16079\n5760 7082\n3654 14924\n216 8264\n3566 4600\n2022 13749\n7688 9030\n2324 12488\n3039 16819\n2714 14111\n4794 15374\n7458 15489\n6775 8990\n4582 15041\n691 6916\n3287 9910\n7886 12334\n8647 17433\n2339 3002\n13259 17023\n5888 8605\n1705 15001\n1587 6258\n4355 16745\n9267 13614\n148 8176\n3733 11295\n2703 5636\n111 10521\n10010 17265\n4041 13816\n4881 11110\n5321 15382\n13334 14427\n2587 14393\n4366 9767\n6783 9166\n1333 12822\n2309 4291\n6345 8580\n14856 15275\n10556 17153\n3135 16953\n6509 13355\n8240 11087\n11777 15253\n9777 11458\n311 4344\n3377 12992\n3765 10495\n449 14650\n15430 17432\n3207 16305\n13366 16185\n6989 9787\n2367 15397\n9998 14480\n3068 6029\n2893 4230\n3848 6673\n7125 15337\n3614 14111\n12073 16699\n2225 13906\n809 12717\n731 2535\n4902 6473\n10812 17228\n12236 12475\n13515 14952\n10061 14217\n1990 6732\n3943 12286\n2331 16992\n4209 5695\n10520 16669\n15838 16761\n327 996\n13104 14642\n6160 6698\n13600 15685\n829 15610\n8154 14713\n1079 10262\n939 2186\n4383 10690\n2745 5165\n11315 17277\n11296 12943\n1826 14230\n3761 14928\n1500 2108\n13512 15365\n2126 12749\n4238 12714\n502 12206\n2985 7234\n8161 13132\n288 14332\n5235 13684\n2257 16186\n4023 7317\n8591 10923\n17071 17378\n5262 10989\n2848 10671\n10387 10559\n2269 4534\n8231 15414\n11316 14084\n1128 4267\n9921 13009\n8476 17035\n2451 8990\n2013 13111\n806 7024\n238 243\n901 1821\n1388 10221\n11366 14387\n762 16433\n9867 12266\n3594 14393\n9558 14119\n4299 12485\n8132 11363\n1517 10257\n16164 17081\n496 8206\n9486 11947\n4052 8374\n8243 12294\n1871 6185\n2699 13407\n6738 13001\n3372 15152\n5129 8304\n1710 17195\n1878 15016\n7926 9277\n3202 17241\n7300 12962\n6200 8506\n4804 17146\n9136 14779\n910 11220\n5404 13689\n4392 8474\n3113 5713\n2379 11684\n1162 15585\n7538 9414\n11645 11822\n8634 11699\n3897 6701\n3718 7318\n2526 2648\n12779 15733\n9077 12230\n3429 17337\n7609 12343\n4024 7045\n6449 7650\n9617 14122\n887 8728\n9250 11359\n5138 10262\n8633 13912\n633 11381\n12066 14399\n523 3012\n8397 11730\n9159 11469\n369 6583\n2041 8972\n3425 17349\n8234 15121\n5917 8032\n3034 7084\n1027 15020\n10465 14755\n5859 15434\n3447 6350\n5870 10837\n1123 7809\n2857 7616\n6310 13011\n3709 15121\n11267 13420\n6282 8454\n7922 12806\n14240 16612\n4912 8601\n8534 11073\n6693 12532\n1648 2624\n5492 11669\n3958 14995\n2291 7849\n8393 14829\n2149 11681\n3270 13569\n409 15617\n9286 14124\n8941 9052\n12561 16778\n13959 14599\n10220 15696\n2254 16773\n10247 16334\n2451 13177\n3906 12637\n9609 16436\n1142 11774\n815 13017\n2293 6599\n5206 11303\n1476 8777\n9715 10146\n1775 14697\n1305 9127\n9427 17107\n7754 7941\n11811 13459\n356 9998\n7095 17179\n11192 16717\n5634 7749\n11250 16609\n14365 14636\n4635 7280\n3919 15232\n1327 15424\n2981 3498\n13475 17280\n10787 14932\n10563 11711\n11458 16534\n978 8989\n98 9638\n4043 15778\n6077 16837\n3287 6677\n859 4246\n516 5223\n12114 12705\n8667 13398\n3565 10294\n12087 12276\n4030 7181\n12349 16542\n3128 17209\n9746 16169\n3221 13112\n3999 12433\n2984 5902\n5492 14765\n1549 1792\n5701 12485\n15325 15792\n5764 7231\n6580 15137\n6071 11325\n6094 10275\n6081 12814\n764 12054\n3054 10644\n2277 3392\n8410 14628\n5295 8175\n5609 12210\n513 9074\n8209 12609\n721 8001\n2737 16736\n14029 17218\n8718 16734\n1082 7143\n1059 2176\n9448 11966\n11052 15127\n1548 2263\n2290 17163\n13563 13927\n13585 15422\n13133 16320\n5572 10716\n3365 10336\n11638 15072\n1474 2740\n738 7522\n2634 4425\n8531 10625\n10973 14878\n13159 16187\n15096 15328\n13250 15931\n1321 14075\n4290 5620\n8950 14047\n11951 15211\n33 6581\n8813 11633\n1258 2465\n6346 10235\n8262 13035\n2807 12085\n170 6899\n7498 17174\n1211 17450\n12204 16008\n3469 9048\n13687 17141\n247 3539\n10757 17265\n726 11747\n11676 13304\n2341 15024\n2982 5178\n1495 4171\n3040 7986\n4653 16158\n6436 13345\n93 13875\n2812 13390\n9266 11260\n949 16319\n13958 16132\n2490 12451\n3898 14967\n5032 10806\n329 8224\n12551 14225\n2084 12152\n9233 17362\n2344 13899\n13668 14208\n11986 16354\n14668 17430\n202 3656\n1333 11364\n10947 16031\n14902 15313\n419 6614\n7893 8678\n12098 14491\n10505 11944\n648 14145\n2790 8973\n6158 15994\n4759 6243\n3748 10064\n14246 15387\n9132 11159\n6099 10675\n1332 5013\n8702 14936\n7787 10446\n8905 16350\n7615 15476\n3688 13069\n2982 14895\n4682 14247\n1852 2101\n4957 12772\n3242 6788\n6758 7847\n2401 8822\n4635 16951\n14518 15003\n165 12450\n3512 10925\n3859 7881\n7202 11544\n10821 11592\n5382 10670\n8579 13423\n5233 6691\n7328 11260\n7191 13328\n4873 15793\n6690 13121\n676 12693\n5266 15289\n1180 8681\n965 14440\n1689 7032\n5870 8168\n5975 16855\n9713 17021\n2888 17159\n5894 10984\n1053 2252\n514 6573\n10297 15046\n456 5502\n4768 15731\n89 3929\n3782 12554\n1242 2876\n1650 2596\n3343 14422\n2286 9721\n9832 15374\n13126 17172\n2777 9880\n13361 15374\n9362 15133\n12932 14574\n7083 11954\n1969 13668\n4909 16445\n129 14175\n6564 13232\n12291 14187\n2431 14850\n3993 14639\n2495 14987\n6845 17133\n1219 7615\n330 5954\n5529 8036\n7329 13533\n560 9578\n5707 15382\n13963 16285\n855 3963\n5896 6420\n1461 6268\n2666 10935\n8866 13317\n1393 11269\n9712 12628\n1490 14646\n329 7433\n1875 9105\n8083 14408\n5336 16203\n1636 17000\n4234 14529\n3283 12043\n10383 13349\n8274 17185\n2361 4385\n1259 15452\n2731 6630\n4256 14015\n2573 17261\n3836 13347\n9309 12378\n5840 8907\n11629 16957\n5549 15693\n7525 11525\n13690 14327\n3780 15202\n776 3362\n6530 8166\n13224 13877\n6346 12689\n711 10982\n3661 10604\n10589 14647\n2237 2674\n5806 12979\n2032 4801\n6503 8590\n7099 8088\n5078 16556\n1399 14618\n10617 12347\n8449 15885\n3140 11617\n6605 13233\n11519 17200\n3176 15709\n1889 13058\n15213 17129\n2283 6591\n14760 16927\n1938 4440\n8160 16905\n14364 16912\n15614 15718\n58 11365\n2674 15279\n8607 13894\n4082 12018\n9130 13344\n5847 16512\n16637 17394\n3670 16098\n13753 15004\n6719 13031\n12676 15454\n9855 12215\n4932 16921\n6450 17407\n7093 11398\n7987 10716\n772 17133\n12174 13345\n10735 10974\n11191 15549\n1008 7532\n2436 3065\n1183 15097\n5294 12383\n7113 12203\n10805 11369\n11053 16867\n4935 5615\n10315 13701\n9669 15434\n717 12574\n5780 12023\n16935 16970\n8589 8746\n4456 7473\n1641 6917\n10548 11069\n2700 7006\n3401 5419\n2953 7967\n802 14739\n6889 17055\n1782 3511\n1626 12929\n2852 5675\n345 13358\n3833 14567\n2042 7281\n2608 6920\n1828 13057\n12134 13360\n7430 14786\n7788 13095\n14537 17415\n7234 7931\n1250 13238\n5864 13492\n5912 13710\n4230 6681\n8327 16775\n15583 16635\n6247 12776\n756 14987\n10277 12998\n4163 12423\n10782 14418\n3214 9182\n6578 13393\n1572 10154\n2378 16162\n6759 12098\n7836 15089\n7364 13881\n1998 11557\n1717 4762\n52 1802\n6739 12317\n2839 14878\n9935 12074\n650 773\n4086 17327\n7036 15261\n7655 15371\n13363 14341\n11322 16148\n8666 15525\n3937 7402\n935 10413\n3620 17135\n1929 11487\n5656 16418\n4996 14839\n2445 4999\n2126 3975\n6415 13133\n15103 15619\n1397 3973\n6069 6454\n7851 8382\n2998 14048\n5672 5888\n1340 12103\n463 1381\n2 3531\n1025 9374\n3901 6515\n291 8489\n9235 14689\n2520 11878\n10544 12286\n6273 10292\n3481 10920\n2087 7686\n2864 10211\n2922 15180\n13684 16424\n1534 8357\n2378 14430\n5627 7545\n2944 5855\n2303 5511\n5509 12939\n4748 15584\n11348 15467\n837 7258\n13263 13379\n11009 13638\n750 17085\n2564 7225\n9258 12903\n8672 10546\n9940 13293\n14113 16175\n14806 16714\n3165 10347\n2753 10996\n4579 15299\n3881 13763\n3716 14879\n1418 11974\n9912 15460\n1029 16038\n6883 8364\n9939 11914\n13611 17390\n3967 7822\n3840 8999\n4327 9179\n1219 16981\n7311 10321\n8710 8933\n4103 14652\n11362 12963\n3946 11564\n5365 17352\n1110 3098\n7150 16941\n14897 15465\n16578 16761\n4104 16163\n13454 16452\n5241 17266\n426 16900\n4243 7591\n984 2026\n5728 5845\n1648 14876\n2911 10621\n12688 13626\n4710 7568\n8492 9785\n4279 6784\n16576 17063\n5635 15230\n5411 16718\n735 15617\n1082 15943\n3129 11473\n1004 14840\n7347 13872\n2346 5603\n6499 10790\n4584 13706\n359 8534\n3981 5162\n3411 9034\n6800 11947\n8671 11488\n11042 17338\n9049 15594\n3981 8348\n8142 8800\n8983 15181\n13327 15282\n7155 10808\n2270 8829\n314 3987\n2691 5975\n3617 9177\n2985 8421\n4610 12351\n2431 14952\n7131 9433\n7384 12971\n3511 16922\n103 6280\n12436 16740\n12291 17298\n2856 3055\n10312 15760\n8738 10601\n12474 16471\n5420 16521\n2442 12694\n4619 4917\n3076 16057\n9681 11420\n4103 15114\n4851 9793\n4737 12598\n1736 7827\n6706 15770\n797 9315\n8644 16320\n3092 9040\n1982 13870\n58 9014\n2923 5245\n2942 16642\n11054 15897\n11615 14793\n1687 3581\n7097 14562\n14339 16767\n8697 17332\n3798 9133\n6627 10402\n4724 10642\n5545 8863\n8260 13936\n11080 16787\n3566 9684\n6526 7849\n4268 14226\n7554 10374\n5960 10704\n663 12883\n1793 2782\n4075 10462\n4184 11540\n6076 6381\n3740 6172\n468 5026\n16376 16790\n697 14834\n15624 15658\n3623 13887\n1134 4093\n3535 5878\n8791 13878\n13211 16430\n7467 10319\n8502 8908\n3233 7957\n7532 16632\n269 9276\n8735 16913\n3538 4169\n5470 14294\n1222 4961\n3754 5443\n6921 11484\n10670 16914\n5766 13396\n14922 17246\n805 10584\n7820 17196\n1042 16829\n1992 16595\n4838 7314\n7239 17313\n9958 11627\n1985 2944\n9368 10924\n1181 3960\n15713 17015\n2548 5941\n1607 5749\n1974 15977\n4971 5927\n1405 3871\n6402 11026\n6151 10532\n10030 10397\n3947 11674\n2276 11733\n598 702\n9280 15080\n626 4803\n4350 14242\n7069 17114\n4867 12419\n3493 15568\n4315 5957\n9228 13446\n6981 11152\n5290 13498\n807 14612\n1239 16612\n17178 17316\n1711 16640\n10773 10964\n7455 10335\n5589 12918\n16232 16991\n6863 13151\n13070 17159\n9614 12309\n13540 16355\n997 10285\n3129 10311\n6574 9507\n5990 12243\n1500 14465\n14187 16298\n10591 15123\n1648 8197\n3745 5056\n3294 16665\n12317 17231\n7252 11331\n4283 15758\n3760 10216\n1368 2140\n4634 13810\n14897 15390\n457 15063\n5399 14514\n5857 7557\n7370 15918\n4993 10781\n4894 11072\n10075 15208\n5807 9946\n4070 12880\n656 12278\n9223 16808\n3863 15172\n2754 5819\n8837 11644\n3925 8978\n9053 15893\n11356 11975\n5260 6957\n725 5697\n2953 11733\n543 4748\n16191 17335\n6005 8748\n1625 9329\n7269 14234\n4213 12218\n7966 12395\n5266 9116\n4439 5329\n4341 10117\n6048 6128\n487 3678\n6344 15961\n1180 12755\n1473 15884\n2281 7693\n4106 12644\n7655 16004\n589 13380\n4407 13150\n9787 15893\n5392 6122\n1154 3757\n9074 11264\n11691 15738\n7574 10976\n1987 7102\n2592 3717\n1801 9483\n8053 9745\n12370 16499\n5389 8704\n2729 13980\n8978 14532\n14694 15471\n9996 13585\n1704 14949\n6010 6886\n6156 9659\n11004 16536\n7896 12040\n1522 3865\n11622 12224\n2757 6946\n3501 6630\n8726 9780\n1329 6439\n8656 16689\n2005 10130\n11196 13859\n1980 3701\n6103 10807\n3676 16638\n8888 9095\n11311 12330\n6507 7949\n11986 15518\n6047 14949\n3265 8110\n8099 9548\n8235 15827\n5620 16087\n9715 16316\n8391 10441\n6332 7813\n4564 7964\n6489 17112\n1863 13331\n21 10424\n8062 15416\n1901 8046\n9941 11443\n5643 9919\n3653 15751\n3469 6124\n11116 16651\n7770 8504\n297 8716\n8707 13754\n6544 11817\n6814 14269\n3513 11263\n13989 14595\n7535 16089\n11644 16010\n7909 14540\n5655 11672\n4957 9289\n8373 9738\n8357 8809\n6113 15748\n3753 16609\n7833 13806\n831 8990\n3783 4069\n5049 11134\n4773 7388\n6740 10207\n8007 12502\n2995 16897\n7217 15152\n16054 17442\n8298 10207\n8702 12394\n1297 3835\n8103 14163\n7448 9256\n5771 11997\n2832 7757\n3468 11077\n8239 16771\n2956 13902\n11749 16191\n3898 7157\n2800 9388\n1044 8765\n6605 13420\n2356 6107\n7199 14242\n1209 9163\n70 5590\n4949 13867\n7272 13628\n9121 16155\n1618 17392\n6135 10551\n14420 15030\n10261 10744\n2244 4875\n15190 16610\n6380 9177\n6749 16011\n9668 14293\n4627 13497\n6192 7731\n11600 14748\n4747 7799\n2905 11051\n8836 13894\n6802 9503\n346 6880\n7765 7968\n1001 11606\n5845 13413\n3432 13450\n2114 2969\n8303 14894\n4648 13358\n4688 17205\n729 1350\n2779 5166\n2173 9225\n12051 12717\n4087 15755\n781 1199\n5542 7328\n2042 5815\n485 1235\n2381 2894\n3317 14601\n2319 9178\n146 9015\n12474 14312\n2208 4971\n3468 14999\n1609 15838\n7009 13837\n2251 13244\n3279 8425\n496 16401\n6100 16030\n10095 10129\n10337 15234\n14332 17092\n492 4867\n8560 14558\n5234 6338\n3323 16524\n10304 15856\n6243 13733\n2047 15945\n2735 14665\n7019 9170\n9298 13396\n11810 16061\n2827 7849\n679 9332\n3771 14613\n291 7125\n1336 13845\n3908 17313\n2376 6633\n7078 16765\n5392 17335\n2684 7644\n5461 7355\n5064 6380\n4559 11170\n4508 17215\n1323 12222\n7430 12081\n10384 15578\n11497 12542\n2384 15737\n3353 16831\n1018 14401\n5379 12866\n1659 9370\n2778 15898\n3597 11124\n8225 13065\n7942 8217\n13677 16249\n5244 14066\n4961 5060\n6707 8496\n1350 10639\n428 12064\n987 7931\n13822 14242\n480 2649\n6336 9831\n7992 13636\n13757 16047\n8510 12162\n5659 13456\n3376 5442\n3493 10244\n4233 5564\n6457 10577\n12196 16778\n8200 14373\n10339 11174\n8289 12586\n4299 15758\n2546 9553\n1692 8288\n6561 8805\n12722 16663\n8740 15201\n3705 8544\n10831 12584\n8343 8766\n3565 12722\n8613 8897\n5666 15402\n791 863\n1495 4719\n14005 17143\n9434 16357\n3270 12513\n2931 13384\n8486 15175\n4202 10339\n8854 15210\n463 9871\n425 10052\n8857 13184\n2657 10511\n5017 10613\n2089 7267\n667 15773\n2092 13328\n3807 17042\n6023 11818\n2665 17087\n7187 8364\n1051 12334\n980 2061\n2469 5042\n3601 14152\n446 10783\n4558 9624\n712 5264\n8020 12670\n981 3314\n5432 12297\n430 9003\n2573 14397\n798 1217\n1069 3472\n3962 7572\n5073 9702\n2110 15978\n85 4574\n13820 16838\n13963 15603\n1966 14734\n11510 14020\n1586 4476\n9403 15190\n4365 5136\n12471 17218\n531 15170\n2354 15736\n12896 15100\n14492 15131\n16357 16798\n8669 9487\n6971 14698\n5567 9967\n9737 13926\n9736 15292\n3083 12434\n7736 14413\n7958 14154\n15820 17309\n4650 8683\n3989 13591\n8987 14035\n11361 11609\n6229 16978\n3283 15943\n3664 9032\n1574 8129\n3161 12637\n601 4234\n558 5761\n5757 9033\n9976 15791\n6294 11815\n2799 16091\n4174 11174\n1086 14838\n1554 9076\n9046 11730\n15617 16318\n513 1829\n813 8729\n5362 13970\n2742 5621\n15114 16910\n10301 12588\n1284 5039\n6747 15680\n3350 7633\n5661 16638\n14572 16235\n9557 11638\n15346 17245\n2940 11169\n6518 11426\n8181 11168\n9624 15647\n14271 16332\n1562 17230\n11957 15153\n9816 13489\n321 8422\n5326 15405\n12393 17375\n5133 11392\n9121 12780\n1939 5212\n14951 15408\n2745 11558\n13677 16946\n406 14451\n1912 3199\n5665 14183\n2139 11344\n3808 7170\n12457 14630\n14220 15249\n773 14931\n9243 11799\n7736 10421\n1726 8097\n3080 8206\n14782 15614\n353 12378\n2765 7832\n16462 17166\n8557 9387\n11461 14944\n3678 15279\n7891 13975\n9763 17095\n10748 13646\n7780 15534\n9769 16063\n10462 16692\n8573 12131\n4645 6009\n15017 16039\n6845 10634\n8719 9240\n10236 17219\n7846 12771\n9478 10128\n9141 11514\n4028 11062\n5031 8581\n6036 8809\n7942 13176\n514 1534\n14647 16988\n1748 6452\n3576 13746\n4697 15121\n13238 13445\n1483 13815\n2013 14598\n9051 17117\n6382 15156\n8015 14166\n5609 5631\n3560 4683\n3698 8048\n141 12442\n9755 11173\n3140 10255\n7942 13835\n541 13253\n10022 12438\n11 1787\n1483 2025\n4523 13879\n9818 16461\n6828 12456\n3040 7567\n15108 16376\n4778 6777\n9045 10928\n12747 16876\n4677 10867\n1624 7218\n9816 14021\n13381 14495\n2958 6921\n2271 4441\n306 11638\n9217 16288\n3159 15907\n11648 12451\n1099 13891\n8762 16049\n5828 13177\n7148 11946\n731 17382\n2123 6940\n10075 10624\n5536 12894\n11501 12225\n3680 3729\n1207 15707\n1699 10726\n1618 10000\n8160 8251\n5391 9820\n10127 12258\n5003 16900\n9938 14071\n3670 9282\n7465 12409\n6288 8882\n6021 7106\n16341 17094\n4246 7453\n2415 7492\n4229 15041\n12763 14644\n7151 13498\n10291 11910\n697 3950\n5048 10175\n3740 6230\n5119 5965\n5078 5623\n6164 13004\n8740 14171\n8418 15264\n184 10944\n628 10497\n4683 16702\n4406 15807\n1080 12068\n10940 12529\n6140 14835\n2616 17019\n1985 3190\n1337 9823\n10766 14538\n461 3224\n11946 12139\n9082 12980\n8255 8806\n6415 13314\n4725 6509\n15285 15984\n1988 3335\n887 13811\n9786 12828\n6559 8573\n8775 14939\n5433 16329\n4521 10111\n1729 6417\n7518 12670\n8659 10688\n7135 15932\n9961 10598\n2178 10811\n5676 8522\n7084 10218\n4573 4622\n1991 16786\n3697 9907\n28 11067\n3613 6180\n398 13393\n7016 17347\n7881 11596\n7008 10033\n7295 9136\n3039 11235\n6793 12617\n7988 15729\n1923 8946\n328 6949\n12142 15677\n13097 16068\n7571 10418\n751 17270\n5956 9751\n501 8755\n6168 9943\n13919 17394\n8518 13614\n14437 14449\n1375 8083\n16622 16924\n5360 6728\n6227 10306\n2547 14499\n3004 7219\n6330 11609\n10510 16816\n15193 17400\n15500 15621\n14759 14951\n1418 11899\n3458 10887\n5041 9523\n1143 9374\n7478 8834\n5700 16306\n13735 16663\n10959 15206\n5785 9003\n1684 9875\n4002 7109\n4686 12367\n2136 15191\n1708 3521\n4303 7021\n2298 9916\n7018 14599\n9377 13141\n7224 8364\n12271 16084\n721 13762\n11731 14901\n3689 5258\n14126 15192\n3152 7493\n2160 6234\n5040 11310\n14774 15032\n2195 9422\n4974 9182\n3455 13904\n5719 13463\n9571 13992\n9315 16852\n3360 4340\n8338 14550\n3119 9301\n6401 15075\n916 12265\n1820 16807\n13843 14485\n10433 16651\n2997 13939\n8017 10411\n598 1716\n194 7362\n12330 15431\n2126 16574\n14192 17272\n3473 12444\n3123 9406\n13019 14551\n14245 15415\n451 10560\n10517 15941\n5922 13964\n5832 16600\n6690 10409\n11538 12537\n1089 11100\n3605 10966\n10901 12801\n9964 14098\n14868 17445\n2627 4104\n14268 17037\n5375 6526\n11512 13223\n4602 17168\n4289 7071\n3056 13498\n6451 10675\n11268 17329\n16971 17368\n13278 16084\n2138 13552\n11029 16743\n1146 2625\n12441 12928\n9362 11060\n5242 6789\n8206 10497\n7641 7801\n2265 13479\n2200 2753\n3174 5481\n1674 13806\n2798 8421\n1770 15603\n2130 3111\n1049 4715\n13998 15880\n649 6478\n5206 6545\n976 10673\n602 5871\n9814 16780\n9037 9359\n4484 4734\n5882 14766\n13448 15249\n2807 3834\n4605 16227\n7081 13779\n270 12685\n10172 11060\n12727 13056\n326 5687\n15959 16587\n3604 6109\n9231 14424\n6067 13879\n3263 17045\n1564 12594\n7990 14893\n15495 15957\n15683 16591\n7695 16099\n3305 8530\n4200 11259\n2692 15626\n9349 10762\n9473 10697\n9820 13259\n11609 16849\n11240 17061\n1539 15858\n11104 14113\n1975 5907\n4697 13596\n5877 15941\n6028 7573\n8682 8736\n14002 16408\n8585 14574\n1362 15624\n4030 9863\n794 14333\n827 3895\n4554 9775\n6040 12540\n8550 15932\n5969 14127\n5260 14438\n2458 9233\n535 10073\n436 15015\n3631 6175\n8526 15149\n400 11798\n1393 4596\n3157 6642\n2824 5142\n11862 15482\n2197 15623\n1841 10122\n1892 11992\n9520 16610\n2673 14160\n6614 14876\n5376 9901\n6070 8090\n8935 15515\n4660 5875\n4511 17300\n1076 17434\n3054 11939\n766 7787\n12780 12822\n7814 11607\n1196 16098\n10697 17391\n1941 8998\n5382 14408\n7295 11684\n858 15524\n811 1935\n1030 16758\n9480 13023\n12680 16392\n11183 13845\n13803 14345\n14693 16689\n742 1543\n6199 7638\n2847 13426\n3806 14239\n3563 3568\n5984 14572\n8332 14267\n11834 13451\n3845 6026\n15512 15803\n1266 14437\n4321 15677\n759 15516\n11819 15895\n8863 14521\n265 8193\n292 14723\n4210 5726\n2179 12724\n615 1777\n2652 14631\n12183 15132\n3293 9950\n6631 14373\n10091 10881\n9908 12085\n655 10584\n6400 14700\n3348 11199\n575 15734\n2097 16943\n3502 11355\n1251 1826\n10489 15939\n8723 10750\n8811 12936\n6944 17318\n758 16495\n8483 8929\n6058 12157\n6755 16441\n814 7832\n13338 14988\n12463 12472\n7916 13322\n11756 17016\n15578 16986\n12673 13414\n434 8734\n8220 15923\n2444 11950\n12499 14472\n166 15423\n670 13141\n6553 8106\n3389 13563\n12786 16345\n6396 12857\n5096 14165\n10684 11890\n2485 10345\n4059 6549\n1935 15307\n2333 7277\n6552 6737\n1588 2324\n807 16547\n6593 6760\n1769 7344\n7003 14972\n14377 15415\n4606 6582\n15402 16529\n1242 5064\n11541 11636\n3650 7575\n3623 7156\n10323 14256\n1427 9650\n5802 7499\n18 3487\n10000 11691\n3381 16901\n15514 17373\n11078 11131\n3728 14432\n8930 12553\n10213 10277\n11440 13432\n4830 15892\n10537 15843\n1321 5440\n11584 11947\n10542 12027\n3718 14433\n8346 13134\n7673 11774\n1515 14139\n13445 15193\n679 7712\n10699 12877\n12208 14864\n1212 12444\n9654 10022\n1927 9802\n2622 2865\n2494 12045\n3262 16351\n3261 4166\n10105 15500\n1622 14361\n4402 5075\n3439 16035\n7943 16683\n3686 5711\n1300 11699\n6977 14285\n8006 13591\n10107 11131\n3894 7494\n1830 12977\n15180 15212\n11785 15796\n8139 10538\n8897 9293\n11603 12417\n10932 14959\n1508 8193\n1530 5074\n10016 14408\n2968 11741\n3062 10428\n1088 4128\n8224 15154\n4024 6448\n7779 10636\n7405 15463\n10557 10690\n3649 6369\n497 13340\n7572 15660\n1241 11827\n232 11529\n1393 4906\n2500 15353\n5528 15785\n9310 12859\n4481 10696\n11547 15068\n1874 13993\n4707 13772\n4607 5172\n13806 13987\n5005 15738\n4401 10535\n9756 9867\n9234 13672\n1892 15467\n11430 15662\n679 11260\n1423 6890\n9036 9955\n761 9316\n939 11243\n3784 7978\n6727 13360\n3726 6513\n1934 2240\n7269 15567\n1184 14920\n13418 16990\n7012 10159\n7100 11443\n11387 12932\n5242 14998\n4366 9522\n3611 11629\n6109 10529\n7094 14343\n4314 9143\n204 3823\n9447 11388\n5857 13079\n7368 10466\n14130 14427\n5356 6949\n13786 16374\n4823 17438\n9728 12637\n9394 12542\n9912 14297\n4290 5248\n12805 16691\n6709 10059\n1120 4759\n9420 16368\n15775 15957\n7887 12196\n4286 15448\n2901 9980\n1349 3008\n580 5559\n14871 15810\n7086 15406\n928 14633\n1489 8626\n14423 15497\n8333 9994\n3313 10993\n7201 11772\n5174 7767\n800 12226\n14294 16790\n1114 6208\n11077 14256\n7297 13365\n9907 10884\n5733 17416\n5526 14786\n4169 12010\n2496 16164\n5410 13938\n968 6524\n10634 12881\n11041 14640\n345 13467\n15525 17350\n5290 6985\n7954 11778\n9951 13180\n10173 11939\n15069 16697\n5215 16085\n2120 16226\n10761 15101\n3082 13225\n807 6542\n2321 14506\n5310 12226\n6924 12528\n2844 14005\n11162 13878\n4475 17184\n3308 13177\n14969 16500\n3507 14516\n12377 14263\n1465 3702\n3577 6128\n7883 8839\n11894 13312\n7621 14968\n3917 16104\n9622 10996\n2453 15497\n2584 11284\n5942 9412\n6480 13685\n5729 12114\n69 12262\n9856 13357\n1941 15825\n6316 6723\n656 14218\n10986 13194\n11690 14944\n13930 16524\n417 12411\n4169 13243\n1784 13278\n8626 10104\n14278 16990\n462 7873\n332 6940\n4542 14712\n1148 1435\n3554 17401\n11847 13176\n3118 16829\n1672 13300\n3218 8300\n11659 13822\n2776 14008\n4793 13269\n9336 14108\n1495 10351\n8778 17089\n1861 12102\n11367 16835\n9663 10399\n2198 14020\n5880 12755\n4711 5226\n4615 10265\n6178 6718\n9165 10007\n3310 12872\n813 9604\n3475 4913\n2172 14903\n11674 17418\n2436 12399\n1131 10626\n8251 12868\n7494 11230\n1476 2192\n91 11386\n4707 5678\n12502 13905\n468 3029\n5192 15569\n4567 13287\n476 11386\n6437 9821\n9893 16460\n8502 8872\n14691 14757\n1412 10136\n3541 7665\n5576 7135\n2003 8510\n5870 8637\n1018 1911\n14060 14997\n7986 8963\n5108 5429\n361 12560\n3319 14876\n3369 15850\n9011 12839\n5362 11017\n16366 16435\n1968 9653\n3042 16418\n3250 17134\n4460 6125\n303 13455\n2695 13770\n3144 6214\n10569 14585\n2111 15940\n193 5279\n13035 13315\n13480 14901\n1114 6246\n5081 9811\n2994 13872\n4350 13034\n7383 17353\n2630 14882\n5390 11577\n3487 15383\n5120 13156\n10579 10660\n6323 14724\n7092 8182\n626 14025\n4470 16831\n1544 4995\n4164 6842\n11809 17046\n1652 3890\n7539 8303\n84 4978\n963 4988\n7047 8951\n12151 16454\n886 9906\n516 907\n681 1187\n6478 10063\n7354 13958\n3834 14784\n1944 17422\n1690 16134\n13120 15816\n10055 11409\n4006 5481\n824 7205\n191 8212\n2913 12140\n6148 8629\n5979 15670\n1493 4850\n9580 16730\n7480 9807\n1438 3877\n8445 14460\n945 1660\n5786 6995\n3208 15872\n6375 14087\n3085 4031\n2146 7716\n436 8716\n437 15470\n3973 4098\n1598 1713\n4411 6933\n1168 7013\n2330 9822\n4926 16936\n4903 14891\n4413 8245\n10448 13035\n9167 14053\n14130 17251\n13126 14697\n12690 15928\n2088 17228\n10451 12441\n4098 6878\n4570 8230\n5353 5607\n5526 7839\n13290 15161\n9952 13950\n3487 9447\n10154 12981\n2650 7210\n2 6013\n1887 12505\n12767 16039\n473 883\n729 13981\n10479 13318\n1063 11075\n2738 3475\n14881 15465\n4978 16371\n3652 4434\n2255 17239\n2106 15885\n13 15896\n1181 3697\n6711 15168\n3837 12775\n6497 8922\n10083 15285\n2376 12425\n7898 17158\n1943 15441\n691 11001\n11355 16944\n775 9575\n2797 13476\n6479 7413\n5663 6068\n8773 17292\n4435 7746\n522 5070\n7307 15006\n1119 8147\n13504 15025\n11745 13459\n9812 16407\n4452 15653\n7229 15464\n5296 12175\n159 3809\n1431 9101\n12054 14553\n1330 9749\n2720 10770\n4538 9794\n12436 15233\n11767 15063\n3976 14686\n14592 14884\n3023 10348\n4887 5419\n6899 13846\n10697 11311\n13420 15151\n6639 8812\n16967 16994\n2934 12760\n6095 6314\n4123 12660\n6518 8131\n4063 4667\n3114 14715\n11646 11720\n2000 10768\n3305 7704\n11794 17111\n6578 13634\n271 10054\n7222 13072\n10045 10329\n11006 13363\n8322 8638\n3570 14002\n2456 16554\n13633 15968\n3895 15290\n3326 3493\n8865 11411\n2266 15414\n7032 7580\n7547 17294\n8947 13847\n5737 16043\n4119 11292\n2960 11028\n6851 17228\n593 2746\n3034 9896\n4197 4206\n6429 16638\n1431 7235\n1168 10526\n280 2100\n1776 9473\n6617 7729\n633 6201\n1471 6806\n551 2831\n6762 11229\n11128 14852\n586 9856\n10825 16750\n9508 11293\n3359 11463\n3236 11158\n4706 15575\n15445 15686\n253 11934\n8032 9426\n5642 12670\n2523 3908\n4007 4820\n3223 4748\n3104 12417\n5586 16167\n7571 11642\n7310 10468\n7305 13383\n2457 16087\n1747 10286\n14313 16678\n4933 5432\n6897 8883\n564 15631\n12139 17233\n4943 17111\n4233 4951\n530 1681\n182 15084\n2448 8991\n2526 11402\n11263 14105\n11267 12924\n15564 17177\n9186 10133\n8724 9464\n6345 10770\n8350 11467\n8934 13732\n1706 7185\n9815 17073\n13347 14320\n943 3296\n1898 3383\n9503 10735\n1708 6064\n6698 12140\n10259 16724\n3778 13695\n15879 17017\n11178 12856\n2207 3567\n10278 15420\n1170 9865\n1402 7639\n9286 15314\n9527 15656\n12706 13822\n3501 16862\n4848 15902\n12706 16938\n2302 5047\n4583 7324\n3500 7421\n666 4393\n1358 11099\n7200 12156\n2125 5962\n9623 11036\n2383 14817\n1003 14097\n892 10103\n8679 14964\n2718 9317\n7606 9931\n2769 6101\n7654 8438\n6175 9524\n4510 4742\n8771 17266\n2024 4460\n11293 13131\n5186 10859\n3700 5724\n4251 15060\n4743 16890\n3653 7981\n7372 9214\n13364 16166\n79 14915\n1606 1841\n4620 8041\n4117 13633\n10171 10391\n3368 7876\n8788 11767\n688 15192\n1428 10896\n14680 17004\n11465 11658\n2369 6358\n15429 17175\n10399 14874\n8921 16539\n654 16653\n4163 10764\n16016 16745\n5330 16478\n2600 3599\n5742 7258\n7783 12720\n9889 11728\n4543 14485\n4549 17063\n425 3841\n11003 14059\n4376 6522\n5590 6490\n8531 14614\n1690 6221\n8613 14245\n2367 2368\n2742 8739\n156 6796\n13319 16927\n5848 16904\n3789 7688\n12062 15031\n646 13909\n4233 12675\n1357 9447\n9072 11869\n6444 11275\n10495 16687\n8237 10932\n1416 14586\n14801 17177\n772 13278\n2050 11144\n3939 6009\n3930 5193\n10055 12798\n14237 14763\n4238 5131\n10229 15230\n438 5917\n202 7688\n4044 9443\n14436 15514\n4549 16190\n12923 15499\n15545 17231\n1514 11234\n2337 2746\n11778 11990\n6779 16887\n9897 13335\n13234 14340\n3860 13620\n5899 12505\n6065 13361\n2149 8769\n88 15176\n14380 17183\n1369 15623\n9348 10669\n11846 13756\n7537 12461\n8458 8966\n6644 8348\n11956 16332\n1329 2332\n3482 12089\n3505 16546\n10663 11426\n1551 11085\n3752 8638\n13128 14155\n5042 16349\n3951 15121\n11685 11744\n2576 4245\n12596 13963\n5512 6598\n7427 11401\n1637 7166\n5995 12994\n11163 14630\n1144 8418\n8980 17288\n2099 7358\n9444 12763\n5387 14037\n166 13314\n8248 12684\n4049 15979\n8206 9192\n10929 12047\n384 8012\n2978 8511\n13819 13910\n3523 4542\n209 3421\n4929 5516\n1035 15201\n7324 9847\n1137 8396\n5270 16343\n1131 13966\n6445 15048\n1531 14659\n6658 12986\n103 8708\n1160 6464\n13493 16568\n3082 15149\n418 3089\n1437 11272\n13062 14083\n4257 5972\n1679 8685\n314 13708\n1604 6135\n9351 10859\n1331 10752\n6667 15603\n5671 6505\n14884 15783\n1898 2076\n2809 13662\n6435 8786\n9603 15298\n10540 11067\n3133 8226\n382 4410\n6870 17358\n13296 17202\n6113 9069\n9337 14060\n116 5110\n12206 13687\n2162 3389\n7580 14800\n6470 9736\n137 9340\n3646 16069\n10017 17316\n6664 11984\n8725 13195\n428 12760\n5262 8858\n12610 12736\n14080 16759\n1355 10053\n7798 17159\n7139 10566\n16298 16782\n4836 13793\n9692 15357\n12011 13050\n8379 12710\n8951 15516\n8293 11833\n1057 15923\n1024 10815\n13267 13808\n4522 9054\n5024 16380\n2782 13554\n10546 15932\n9811 9938\n10290 14916\n1695 3961\n2348 13630\n3404 11423\n6 6321\n2966 5919\n5918 12105\n7641 14086\n2219 17392\n5546 14451\n5631 10044\n10805 16958\n6532 8434\n17039 17260\n9033 9753\n78 4712\n10888 11077\n10351 14412\n10142 16818\n16916 17337\n5941 17399\n11696 13597\n5728 14750\n6953 9869\n11774 14401\n10682 16026\n1188 8663\n7825 10486\n3194 7348\n8995 12029\n4482 8150\n5350 8412\n10271 10908\n8024 9876\n6553 10192\n5546 9012\n3105 5691\n1137 7940\n2243 13015\n2297 3761\n1733 6994\n1526 17310\n13340 16699\n3393 12023\n4631 8815\n6138 8477\n11208 13940\n1789 7382\n2068 17247\n4321 5246\n2585 4246\n8800 16391\n7967 9868\n24 7462\n2141 3913\n3804 13839\n1979 16737\n7838 9101\n6886 15353\n4063 11159\n10387 17321\n78 7591\n5177 6775\n3670 9176\n1080 2716\n11955 14074\n541 11997\n275 6157\n175 10810\n5074 9081\n4257 10498\n10008 10169\n1021 15418\n484 14019\n6667 11252\n11349 15492\n5740 13090\n9535 12389\n8677 12302\n1014 17383\n13698 15708\n3225 13969\n1902 10353\n2827 13482\n2307 7173\n4573 14322\n7446 8494\n1149 15270\n1132 10055\n5146 7332\n8577 15502\n7587 7881\n4801 6409\n11782 12754\n9867 10071\n2719 7572\n11893 16815\n5669 10845\n12434 15682\n3553 4364\n7002 7554\n3665 6332\n6485 7558\n13048 14695\n11266 14748\n681 15678\n2473 8376\n4611 9788\n1460 9518\n9051 17110\n8118 15273\n223 1055\n13185 14255\n12835 12995\n6393 15980\n1906 6893\n3472 10157\n13154 14049\n4745 7927\n8857 11338\n16450 17158\n8991 16079\n1106 6319\n10606 13814\n902 6970\n12781 16381\n5764 11863\n5865 6477\n8960 15425\n10711 14138\n5078 9505\n10000 14246\n7246 16769\n630 13985\n10939 16273\n635 16319\n5309 12380\n6852 9013\n650 10023\n5965 13545\n395 2671\n13819 17195\n1648 2960\n5662 9811\n5459 13395\n9952 15165\n8585 13391\n6761 9847\n11499 14419\n1853 13456\n2799 10291\n2807 15652\n2308 12684\n5309 13850\n5770 5831\n1940 3133\n5000 13773\n1929 12311\n6971 9645\n1210 12692\n5290 11226\n9164 11281\n4994 7941\n3804 9197\n847 16184\n5457 6509\n14164 15087\n3662 9248\n7624 8756\n9701 11366\n7624 17103\n1816 8060\n46 13944\n17087 17373\n6220 9431\n1080 5476\n10998 14401\n10682 11258\n275 15649\n8793 9496\n1234 14093\n12870 14339\n9926 16581\n9592 13585\n1472 8254\n2059 3556\n549 2672\n5727 6507\n8070 14869\n2665 9297\n8921 8954\n2344 6463\n12647 16509\n2374 13092\n2212 10581\n2452 14984\n4511 6481\n9685 11768\n5553 10029\n4923 12985\n4699 4923\n2715 13773\n9281 10076\n2937 12876\n3085 6316\n8561 13781\n1132 4682\n4135 6426\n7414 15950\n12022 17074\n2923 10994\n2281 17015\n3185 9596\n6607 10547\n9006 10420\n15572 16750\n9707 13330\n9383 14414\n1005 11338\n886 2808\n8912 15656\n5264 13476\n7891 17227\n93 15510\n2387 6500\n5740 14225\n7294 16416\n5977 13020\n12944 14120\n2888 16717\n4241 16798\n1999 5540\n16764 16835\n9156 12937\n2476 13003\n9270 10481\n9141 14687\n7031 10542\n3971 14752\n10345 12379\n6975 8189\n9868 11825\n901 2121\n4577 5223\n640 4443\n7094 14912\n10567 12676\n343 4844\n6978 13507\n2531 6736\n1981 11484\n7099 11082\n680 15060\n3589 12951\n588 12173\n2512 14969\n5320 6771\n4972 9639\n6824 13247\n1781 11343\n4945 10655\n9139 16027\n3521 11775\n5167 6663\n3221 5751\n1254 4938\n1076 16981\n6044 11810\n11134 15688\n490 8078\n854 9904\n7262 16394\n6574 8808\n1033 11752\n11713 13353\n2530 9756\n4948 13414\n3278 8083\n8845 16622\n1239 14212\n3751 12864\n3552 6373\n13666 15064\n9529 14002\n1528 14250\n11026 15983\n8829 12626\n3906 8779\n4648 7857\n323 16977\n4976 12501\n3006 4567\n5003 13217\n4413 4817\n12489 13259\n8130 13136\n3626 4209\n3913 15992\n6981 8726\n2943 16536\n226 7321\n783 9868\n1884 9244\n4716 10113\n119 15872\n6973 14150\n15695 15829\n2038 8816\n10469 15411\n589 15826\n2893 13786\n13152 15097\n6668 11834\n3999 16138\n1222 2748\n1594 6924\n15039 15116\n4411 17385\n7399 14282\n13984 15864\n4015 13399\n9278 10461\n2181 7597\n1567 16953\n15338 16027\n11129 15594\n1065 17339\n12114 12998\n4128 7573\n4968 7578\n1616 15971\n5366 12283\n10765 12622\n912 16845\n9464 10874\n5841 13678\n655 2746\n4109 15302\n2889 14165\n2225 9563\n6678 13305\n11383 15044\n7995 12781\n10520 17427\n17176 17338\n2233 10816\n1049 9570\n1636 12059\n7077 14554\n1104 1426\n6019 16400\n13560 14644\n13 9835\n5968 8528\n3084 15800\n3405 15008\n2167 7428\n2743 13421\n4513 17315\n12527 13825\n12926 17159\n1307 13432\n573 13630\n9598 12641\n2279 15410\n6792 13346\n5616 10227\n10836 17298\n6400 7039\n4932 7724\n3670 16639\n11296 15150\n3541 4626\n10536 11627\n2988 17250\n10597 12200\n4919 16996\n5001 6590\n7455 12947\n1322 2536\n1208 6798\n11109 17202\n12097 16088\n12910 14877\n7067 9413\n9935 11067\n10376 10541\n577 13701\n105 9564\n5238 5801\n2323 5722\n6297 11740\n646 10812\n4678 12354\n1091 3400\n8669 11738\n4368 16869\n4633 14944\n5351 9943\n3093 12581\n10116 12056\n6307 9158\n729 7025\n10251 12026\n6384 14702\n14749 14836\n13783 14663\n14958 16401\n2799 3646\n7761 14211\n4527 7885\n14411 15228\n1922 16331\n6601 14694\n1980 12181\n4932 12820\n2648 6993\n14365 16840\n2643 3737\n12804 16767\n6076 14098\n1251 12993\n180 1519\n8663 16570\n5794 10820\n2130 7893\n6735 16745\n8022 16545\n1916 6051\n955 4383\n9635 16179\n826 7286\n9447 14727\n15926 17213\n8961 16643\n2119 8403\n537 2906\n15573 16273\n1347 9342\n8380 16668\n7167 11255\n1336 4992\n8192 8206\n4431 13292\n4975 16302\n11332 16741\n2090 13856\n1350 9364\n372 11119\n10288 13971\n11201 15762\n504 4215\n1912 14921\n7120 10298\n10401 13354\n13058 13200\n6514 9534\n2299 2873\n4993 8146\n10616 10909\n4826 8025\n2383 13524\n6629 8307\n5410 15067\n3107 15327\n6397 12548\n1483 4486\n8120 13894\n10797 11275\n3543 4074\n2302 14704\n11570 12496\n7202 9862\n8456 8959\n5548 15301\n2768 5904\n6383 10775\n11058 17104\n1434 7517\n14869 15335\n12115 13856\n2336 7103\n10796 14137\n5243 12959\n10562 17106\n2217 13612\n10355 11909\n7826 14670\n3997 5970\n6596 16040\n1251 15347\n683 1998\n5293 10725\n10823 15972\n4653 5593\n2165 17143\n7049 7415\n5070 7486\n1974 5085\n6445 9016\n1557 17207\n4822 11959\n4420 15215\n6107 11701\n1244 4474\n3564 10894\n12305 14012\n6672 14645\n1226 11689\n7497 13053\n6253 8416\n15356 15790\n11505 15450\n9797 12180\n719 2683\n11408 13113\n7300 14255\n5003 13346\n14488 16616\n9077 9815\n10678 13214\n2861 13305\n8682 10231\n5099 7137\n3769 7187\n8364 15193\n1010 4477\n10711 12569\n11698 15853\n1422 10724\n1957 5150\n3234 15592\n4134 12498\n11406 16628\n3020 12889\n1562 2963\n1158 16088\n6080 11645\n6229 8750\n12798 13716\n2442 6701\n8426 10566\n6743 8233\n9775 10798\n7746 16171\n5692 8044\n4662 11919\n4373 8695\n1487 7888\n5137 10181\n1234 15944\n5381 9230\n1619 1935\n444 604\n2929 7099\n10724 16038\n1557 7189\n966 16541\n10364 14343\n2972 5972\n551 11548\n2408 11632\n1874 11931\n15636 15972\n6172 17104\n12818 15056\n563 4707\n4283 9348\n10552 12876\n416 16490\n2771 10289\n6998 8761\n1213 5069\n7892 16401\n1970 9713\n8852 11313\n1348 6090\n3409 13177\n4613 10645\n4198 10860\n6203 13964\n12843 14414\n8290 9170\n442 8734\n1525 2827\n4389 11833\n3580 11595\n4590 14524\n532 12773\n7465 10635\n2834 3862\n4932 5772\n1986 9113\n9145 13863\n61 16827\n5863 14458\n6057 10546\n8723 16986\n5405 5867\n5223 16663\n12224 17240\n2538 3405\n3909 10010\n10330 13311\n11285 11536\n6255 12958\n6619 8298\n1778 13585\n3232 16314\n17109 17249\n6277 9691\n11076 15109\n8333 16703\n1753 7874\n9965 14298\n10647 11387\n664 6713\n589 4465\n4459 9641\n3909 12741\n4062 13135\n187 5971\n324 16668\n2143 8582\n14507 17432\n4737 11478\n2991 5312\n5 8745\n10142 13649\n2383 3119\n12312 16253\n6259 14304\n17117 17321\n3291 15955\n10528 14171\n3862 10396\n4076 6800\n1027 7037\n102 805\n5321 8726\n5504 16979\n13049 13583\n2582 9434\n1346 7809\n5 14115\n6807 10335\n5332 12963\n1456 7538\n15314 17068\n12085 15178\n6572 9648\n2114 16734\n6876 7317\n6472 9673\n5977 9502\n1464 8409\n8277 10942\n4296 5599\n2934 12331\n2645 10447\n4032 11507\n2225 10559\n9614 9889\n3075 10690\n12329 13730\n6989 10411\n909 8758\n1540 4114\n4120 7928\n492 692\n9831 15413\n2094 9887\n4401 5173\n2483 11607\n7655 17283\n562 2918\n8905 14812\n9651 13251\n10714 12350\n11455 12349\n4465 17076\n3087 7348\n5758 11524\n2851 11122\n15635 16645\n10970 11656\n3193 14813\n3822 6298\n216 5637\n2969 15937\n6135 10867\n2407 15718\n10117 14079\n2484 12298\n2506 13667\n11373 11756\n1180 16684\n7047 10560\n7307 11042\n1014 9343\n1993 16495\n12005 14179\n11844 15062\n2598 10644\n386 6905\n158 3022\n2267 16156\n8493 13296\n12259 15159\n16067 16600\n10384 11606\n5495 13940\n5880 6924\n6912 13942\n3561 7892\n4052 13606\n8622 9591\n1573 10011\n14534 15428\n6695 14924\n12931 14726\n3891 15737\n2352 15681\n5421 14888\n1106 2970\n2223 16817\n1323 14968\n8836 10541\n10108 16131\n9040 12425\n5967 10313\n1664 9174\n5970 12918\n7281 8447\n838 16604\n6318 17218\n17311 17437\n7009 10781\n8640 11589\n6933 10084\n12054 12458\n12721 12837\n4571 5622\n3448 14088\n2523 9617\n2806 14073\n2619 15373\n1059 11226\n3114 5466\n7205 11896\n6353 9581\n16360 16519\n2248 16053\n4827 11584\n7488 12078\n7801 9001\n6104 9765\n7746 16017\n6253 13958\n2635 15165\n5443 17244\n11503 16273\n3766 14975\n2855 15666\n8607 11947\n1951 15537\n5006 14003\n7575 9947\n9060 10943\n10308 15546\n16179 16375\n1102 12458\n13429 14385\n6695 9556\n1550 3697\n156 3899\n7323 12644\n14516 16426\n3390 13960\n3765 16416\n13322 13602\n6831 13754\n3401 16280\n7277 9354\n5049 17383\n8919 10137\n288 12126\n10537 11209\n10126 15198\n11104 11719\n14082 15192\n10278 16799\n14647 16901\n4034 8936\n3626 6343\n1341 1600\n10340 12395\n1126 17243\n3246 10551\n11403 15211\n4066 11071\n6840 11574\n4853 5423\n5610 11476\n5164 7386\n4767 5743\n11396 14473\n1234 12098\n4987 16695\n5962 12651\n8684 14296\n8006 15892\n8159 12226\n4526 10906\n2986 3829\n7906 13034\n6637 17071\n20 8127\n10547 11242\n7138 14094\n1421 14961\n2727 15452\n4373 9415\n606 11077\n9495 14146\n1960 14144\n2514 9830\n1611 16602\n2128 7004\n15057 16080\n3923 9739\n14343 14793\n9847 16236\n9435 15110\n10127 11512\n13153 13934\n3492 8474\n6584 9607\n11990 15759\n3572 11423\n5164 9723\n6794 8499\n2390 3789\n8 14042\n3078 6808\n13109 17177\n8355 9982\n4221 15606\n1966 17150\n2479 8832\n452 9441\n4237 14677\n11411 17269\n2089 7712\n6038 6270\n1148 7808\n3982 16952\n13875 14094\n2506 7867\n15630 16217\n6408 15358\n6001 10707\n1464 3716\n14078 14227\n11946 16577\n394 717\n5811 13516\n5673 13232\n4667 14997\n11319 13179\n1495 11633\n90 8299\n3635 12788\n1453 2623\n9239 9284\n485 776\n10862 14250\n6967 15851\n793 7788\n12400 14226\n11532 16610\n7141 14549\n2360 16337\n15043 16776\n4816 5250\n5878 13826\n15152 15194\n5633 13520\n4413 14396\n6794 7819\n2262 11736\n5756 15423\n3476 7799\n3809 10001\n11478 13880\n6010 6730\n4851 17147\n8468 9187\n11846 13836\n1397 13874\n10006 10881\n6274 12716\n11978 16330\n3523 12657\n3963 10707\n4911 8525\n927 6917\n10908 12406\n9630 16354\n12858 13364\n9430 9865\n6329 12815\n5343 5597\n2159 10622\n1084 1203\n284 2891\n4086 16604\n496 14548\n1334 6728\n6201 7616\n8315 16619\n5127 11877\n4660 9535\n11498 16140\n4775 17310\n10259 15834\n87 6363\n2112 12657\n1846 7532\n3895 17154\n6940 11203\n2071 12319\n5917 9245\n7727 13583\n11521 12130\n2366 13207\n7209 16657\n5173 9360\n6032 17128\n9463 14737\n5287 10637\n704 13345\n6886 13700\n15263 16298\n2542 5593\n1903 5366\n6054 11783\n15554 17428\n960 6432\n5348 12790\n3095 3254\n11548 15649\n15334 15386\n4889 15703\n4548 12166\n4439 14923\n2564 14036\n11020 13129\n6777 16225\n6618 11217\n2627 10217\n318 1375\n9822 10217\n16092 16192\n273 15154\n7541 16794\n6914 8318\n12733 13414\n8440 17436\n2601 10008\n10235 11525\n5006 16882\n7252 8366\n351 5943\n11271 16545\n10892 11323\n3734 11881\n786 4389\n5126 13745\n12182 15577\n5210 12824\n5506 16402\n1667 6324\n4845 9018\n784 14788\n11063 16149\n8502 15907\n6767 6817\n740 4865\n4898 10981\n13504 17140\n6880 8388\n3041 8691\n1260 11199\n7688 10024\n1213 11443\n8681 12626\n370 16357\n2396 13488\n7794 12909\n15235 16545\n2178 13238\n5170 8922\n587 9588\n5431 9749\n3834 14588\n3594 13491\n7050 8421\n10371 12747\n8336 13120\n7645 14293\n8878 9694\n477 12868\n3676 13518\n12590 16853\n2007 15764\n9182 11414\n5652 17426\n4644 11707\n9005 9720\n8459 10428\n3765 10075\n12997 16766\n14784 15970\n12657 13216\n13436 13522\n8297 12499\n11729 17371\n9423 15652\n7462 15393\n3536 9104\n1235 13844\n10564 16480\n6824 13702\n12461 16614\n1123 13237\n190 3138\n7662 11131\n11068 11853\n6780 13127\n8712 13798\n6642 9294\n7526 15488\n234 8718\n7244 11927\n147 4550\n1083 9557\n5218 5320\n13479 15503\n7029 15005\n9955 12358\n3782 10717\n3361 4546\n5985 6343\n4220 8574\n3662 8779\n5964 12687\n1633 15621\n3767 13960\n3430 6285\n1386 4857\n5202 13378\n71 14310\n799 13257\n2943 12593\n1342 7517\n900 6559\n13695 14639\n7272 8249\n5072 12553\n13548 14145\n311 2233\n9201 15856\n894 5720\n6651 14600\n14804 15374\n13586 16785\n51 6116\n3676 6246\n6400 12876\n4490 11973\n1362 16522\n1853 16755\n2742 12873\n92 8583\n2782 10367\n8534 9454\n4160 15863\n4174 15232\n898 17211\n11679 16603\n9308 13475\n12555 16878\n4521 11884\n8230 14327\n8550 9955\n31 4718\n7927 14093\n6995 16373\n1532 2541\n1673 16874\n4354 11863\n7332 10351\n6804 15747\n60 15539\n1229 12190\n5945 10762\n5017 12081\n8342 12698\n35 6992\n1475 12413\n141 1956\n6607 11864\n8013 16135\n4303 10741\n3648 15421\n11413 13027\n4161 9094\n515 14853\n2483 9443\n3957 17357\n5849 10438\n6171 8167\n1540 16731\n7678 10585\n5965 13026\n22 4761\n2409 16711\n1025 3539\n5876 11588\n7014 13173\n6364 8092\n503 11097\n717 14050\n7137 15504\n12918 13379\n5684 6757\n10434 13925\n3300 10585\n10197 15747\n8851 10251\n3930 7677\n3712 7559\n6771 14415\n4454 12852\n4842 12360\n7131 13271\n1831 10162\n11494 13214\n4185 5966\n9772 16691\n4875 11426\n10382 11445\n2188 6423\n12834 17277\n686 7925\n3211 16344\n15597 16373\n3772 15058\n2676 6349\n2612 10950\n1564 2965\n9171 9800\n12634 16055\n10136 15120\n3253 17104\n10213 15307\n2298 4258\n487 9751\n3256 12262\n13207 16218\n6736 9190\n10573 13425\n7252 17388\n2001 16799\n1139 15772\n1402 7210\n5663 6280\n11646 14654\n9059 9251\n10429 12568\n1936 8540\n206 11625\n319 17024\n9716 13420\n4999 12069\n8944 11778\n8467 16401\n9989 12494\n1726 8526\n459 14995\n3605 11574\n5869 13528\n2512 3579\n9004 17424\n7362 12138\n13210 16277\n3655 7509\n7329 15872\n2420 4726\n2728 16461\n9363 14910\n15339 15457\n5129 12294\n8360 15038\n765 6088\n4966 7502\n1845 13016\n1209 4605\n10116 16951\n8101 10529\n3781 5141\n4418 7967\n4922 13430\n1101 6343\n730 11064\n7389 16533\n3459 10079\n4510 16039\n259 9700\n4890 9100\n3333 14329\n4122 10614\n5794 5886\n1416 8804\n127 16817\n3891 8554\n1985 14354\n1123 7096\n4507 7810\n9983 15115\n3195 6611\n8714 16838\n8369 12036\n9714 11719\n9130 13920\n2977 13214\n10330 17092\n2737 14868\n3325 17343\n15734 15862\n8141 13809\n845 6532\n7263 14173\n3309 16892\n1709 8063\n2395 4735\n2696 12024\n4142 10524\n12559 13221\n13384 15660\n8444 10538\n9441 14629\n12812 12936\n9120 14200\n12520 15918\n464 14989\n4551 9902\n695 17305\n1438 16327\n4920 9623\n5078 9061\n14074 17291\n13139 13162\n16127 16304\n8756 13234\n12102 13463\n11888 14141\n12632 15223\n10229 15402\n6734 9234\n789 10422\n695 2858\n5550 11384\n13459 17120\n13710 15025\n9157 14309\n3526 7636\n2018 2075\n10 10492\n1903 7283\n403 13766\n1409 17316\n7917 8850\n9914 17344\n11883 13781\n3807 16005\n962 9306\n7646 10960\n11004 15712\n6757 9500\n13539 14156\n10418 10804\n3021 5852\n6954 7611\n7990 16853\n10290 15954\n2348 8953\n6227 12593\n1047 13293\n5421 8840\n6010 17179\n12379 14490\n12180 15800\n1115 3839\n8605 15054\n5581 15977\n2773 17015\n2588 8089\n11966 13355\n1235 10688\n5643 9062\n1900 2460\n850 1381\n4097 9175\n1637 8957\n9511 14255\n3967 8013\n3419 13749\n9638 14114\n5942 6304\n2512 14322\n6642 10945\n5405 14452\n5728 10080\n4784 6223\n1592 13848\n4528 4681\n5865 8633\n4779 16159\n3388 8330\n9474 10892\n5333 13020\n6075 11142\n605 5465\n4418 10174\n545 8480\n14929 15856\n58 4108\n774 4524\n7859 12998\n15061 15574\n8841 14866\n4939 15221\n5351 9384\n8696 14777\n4407 15674\n3319 14213\n10795 13439\n2356 16855\n4891 13477\n3632 15017\n6618 12965\n3183 9353\n5971 9576\n12835 16947\n10436 10920\n1875 11142\n7889 10578\n5036 7572\n10333 12523\n7442 14023\n1413 3323\n4012 15721\n235 10412\n13681 15812\n194 7894\n1577 14241\n4047 12122\n1883 16881\n9565 10025\n5653 12959\n8834 16760\n4285 5680\n1960 16234\n11941 16329\n4411 5964\n14725 15024\n13016 16325\n13572 16147\n6590 7688\n3383 13274\n5211 12259\n7513 11114\n1887 4107\n3888 7144\n4823 12890\n9843 10366\n2623 14809\n749 4124\n3758 4349\n11668 15394\n1399 6290\n12020 14733\n12132 13495\n840 5772\n11377 13833\n10601 14237\n299 689\n13538 14587\n12184 13753\n12020 14241\n6346 9973\n6010 8796\n1675 5184\n4258 9797\n3904 6950\n1236 14817\n8880 17269\n216 13485\n12169 17454\n1816 16204\n10431 11625\n2027 6487\n14728 16389\n12179 14127\n8091 9284\n9445 16956\n1756 8871\n2151 2469\n242 1797\n2641 10883\n7793 15193\n9009 13647\n4258 14486\n12140 14469\n7017 16726\n3395 14494\n8841 15101\n7964 10276\n2736 13391\n9187 14936\n589 7403\n3010 11160\n2939 11646\n8083 14331\n391 11834\n4531 8658\n2674 16518\n5143 12727\n6341 13817\n4122 7350\n428 8674\n9980 16237\n2708 3204\n13326 17078\n3941 15522\n4047 7017\n14721 15449\n16137 17139\n12424 13380\n6673 11585\n13002 14184\n1321 11988\n2576 3094\n4556 10240\n14873 15122\n2245 14318\n3119 3843\n1039 11198\n4229 16383\n2198 15440\n8445 16587\n1405 12236\n2496 2649\n5973 6881\n6961 11655\n6211 14765\n14340 15330\n5852 11497\n8878 16716\n7893 15413\n10665 11500\n11080 17111\n10305 14578\n3639 16775\n227 10570\n2779 9975\n13534 14268\n3231 9306\n1603 9370\n5250 14068\n3589 11033\n4127 8965\n4344 15426\n6343 16971\n8197 17157\n4388 10722\n6222 9203\n11150 11520\n12447 16441\n4651 15278\n6447 15360\n12826 16364\n3547 15087\n7277 8026\n9663 16778\n11350 14529\n3350 8006\n2779 9945\n1173 3461\n3192 3763\n4864 14508\n4308 9826\n2332 14142\n548 4778\n6624 7091\n990 4988\n4103 12916\n644 14963\n4297 6230\n4155 13589\n14664 15425\n7801 8485\n815 10733\n1672 3411\n4883 9301\n1793 7537\n5102 16444\n3999 7133\n3396 10809\n10522 15940\n5997 10566\n2628 12184\n6036 9759\n1696 11494\n14899 15330\n5432 16948\n7024 15221\n3646 5409\n1782 5210\n12358 13741\n2140 4519\n9307 14334\n5204 16315\n2612 4216\n6688 15172\n5783 8994\n10046 13803\n542 6723\n489 14419\n7847 13057\n3532 5360\n11841 12374\n4408 13927\n3499 4306\n12027 14312\n15140 16317\n4829 7721\n7142 7390\n2611 5113\n2830 10915\n7523 16895\n3290 4011\n4463 15517\n4615 13041\n13160 13320\n3835 11405\n7463 10870\n3468 6702\n7458 10907\n6103 8953\n12304 16853\n866 10010\n1353 1750\n15299 16335\n1613 2533\n10323 16679\n6255 8738\n5087 15217\n6250 16838\n14491 14878\n1854 14398\n1856 5616\n11778 14533\n1394 3282\n9299 11688\n2338 10239\n2029 10373\n2030 6734\n4441 10916\n10131 10832\n2197 8511\n8048 9546\n17 1283\n15691 16859\n1160 8372\n3594 11021\n186 13862\n2091 4033\n2423 4154\n13197 14996\n13865 13997\n5388 11295\n8605 14282\n875 13424\n13246 14954\n2102 13100\n2812 15107\n7656 12134\n4901 9127\n4850 5330\n4052 10312\n6073 13560\n218 9810\n3905 7155\n5745 9316\n2252 5285\n1238 4344\n6280 14629\n8827 11285\n1906 15732\n4962 12166\n3060 14854\n718 15045\n5489 7939\n1137 2963\n7271 14670\n5682 16940\n705 11884\n3103 9988\n10410 12752\n5455 13823\n5231 17284\n11990 15297\n10678 16528\n2891 2974\n7715 8826\n11283 16353\n2662 16726\n668 8193\n8810 15405\n11628 15233\n4418 8119\n8206 13423\n13459 15946\n530 10388\n598 12341\n14217 16001\n4109 8275\n4860 9162\n3542 16034\n11938 15151\n4673 5341\n1711 12271\n6749 14519\n6908 12633\n10787 17378\n7992 11671\n2224 3637\n8337 16694\n11060 11075\n9923 11155\n1195 10508\n83 10673\n8457 14165\n748 5475\n506 731\n6492 14077\n6500 7912\n9258 14102\n3583 10415\n2434 10591\n3388 9537\n9401 11674\n7990 14594\n792 12122\n787 6326\n5818 15257\n2284 17271\n4176 15428\n5110 14309\n9800 13561\n3406 12766\n5205 12373\n682 9229\n102 15783\n1577 3960\n3284 9008\n4095 13592\n1738 9329\n3795 8290\n13112 16062\n8349 16734\n9132 12249\n1230 3302\n1968 5066\n7002 16796\n1988 4668\n13598 14698\n2003 7017\n3625 11273\n4088 12126\n3532 15626\n4782 9324\n6669 12023\n2111 16098\n2628 8902\n6892 9960\n2271 3993\n14121 16403\n1232 12046\n2319 7468\n4560 14396\n8716 14286\n6974 14017\n7890 13352\n3473 15964\n17236 17404\n421 17380\n9061 12948\n4800 9510\n13191 14417\n7614 14719\n11019 14587\n2627 5036\n2659 4063\n5382 6742\n3443 6757\n6284 8017\n2659 13343\n3559 11883\n7733 16776\n1307 8585\n2864 3234\n9706 10898\n9805 12338\n1043 11973\n2571 15918\n4328 7545\n13285 13946\n2478 13506\n5009 9345\n14692 16604\n8643 11242\n16227 17012\n14140 15348\n5617 7128\n135 4916\n5050 14189\n6048 11213\n9326 9560\n5529 10770\n502 10963\n5823 10210\n5567 17337\n2728 14925\n77 4890\n10134 14679\n2868 10849\n6213 17307\n2430 8861\n2914 8866\n7004 16856\n3622 9308\n8641 16554\n9264 12311\n7647 11118\n9527 11423\n13116 15403\n1249 11825\n12004 13295\n7963 9093\n5040 13546\n3622 16174\n10859 16792\n2630 4941\n7645 12092\n2256 9863\n4367 16429\n6031 9388\n6833 11313\n14861 15892\n5125 7506\n9064 9364\n3336 8384\n4360 8593\n10006 10010\n7898 9320\n5351 8323\n3012 10731\n10698 13376\n12812 16941\n13248 16705\n8019 12276\n9251 17141\n7622 17445\n6499 8889\n6890 11831\n5403 8805\n5927 15154\n3508 13164\n13520 17008\n9529 15813\n7248 14842\n6428 9190\n2135 6156\n2921 17206\n2682 16818\n11506 14867\n255 16729\n9071 10388\n291 10455\n1158 14111\n3346 7407\n8323 15034\n7895 8128\n4215 12110\n10076 11314\n7315 8479\n13284 15164\n8055 8163\n5487 6632\n1380 16791\n5574 16848\n5455 5726\n5005 5115\n5035 5149\n1941 9776\n6069 14318\n4290 17352\n3209 9990\n4040 16833\n8413 10272\n6677 14449\n5219 8748\n5698 7544\n9496 16646\n4635 8548\n7241 10887\n7259 9982\n7428 14158\n10358 14915\n1195 12165\n15331 16736\n396 14723\n5032 5242\n2900 15720\n12957 14040\n4453 13052\n10534 10888\n14763 14843\n6359 14569\n625 2201\n234 13281\n10244 14948\n1819 8849\n11869 16932\n11032 12241\n15803 16729\n14713 17032\n5978 9874\n626 10729\n6219 7606\n3824 14180\n1413 15116\n1496 7862\n4901 11444\n2369 3007\n9264 11314\n7297 17021\n8859 14100\n12135 14176\n8410 8439\n100 6310\n3485 15199\n2640 8329\n10148 17459\n13955 14905\n4156 13916\n3795 17141\n10436 13003\n30 16352\n4795 16982\n8972 13170\n2939 4012\n3107 12272\n13659 14985\n12535 13936\n1030 15635\n6526 7672\n3480 5356\n968 8373\n6464 9258\n10299 16722\n5865 15975\n4319 10268\n10769 12463\n4085 4482\n5941 9251\n15597 16307\n8583 8627\n7409 13635\n5226 10117\n10878 11489\n3262 16344\n9304 12000\n1464 6601\n6285 7528\n9118 9797\n1917 10680\n6926 14386\n4101 8224\n4327 15675\n10694 12941\n2129 12619\n7332 8356\n7438 11271\n2300 16785\n2078 3745\n3268 10959\n14755 16065\n2964 11019\n7572 12124\n4944 13644\n13731 16139\n4113 17158\n921 10209\n4463 5383\n8923 10570\n6840 14847\n13044 15329\n4322 7237\n2055 5473\n14641 14709\n1369 11718\n3432 16479\n1718 14668\n9471 17356\n4465 5268\n8196 15226\n9049 12131\n7944 8701\n1107 8642\n1265 8574\n9283 12224\n694 4511\n6772 13522\n11266 17124\n581 10723\n2852 16361\n842 17374\n808 5254\n8352 15714\n2046 16969\n798 15087\n5012 11499\n6103 16736\n9989 12233\n108 8824\n7584 10507\n8641 15284\n9336 12817\n10862 14515\n2388 8218\n79 14110\n6140 8400\n406 13363\n11834 12417\n8047 10153\n161 9814\n13480 13716\n158 993\n12868 13113\n3782 4573\n3654 16435\n2391 16606\n1914 4245\n6059 6609\n10140 12202\n17133 17436\n1525 9077\n118 16066\n2281 12171\n8194 9266\n2991 9617\n131 3681\n540 4977\n2064 2858\n5620 12315\n1682 11009\n16623 16712\n81 2090\n5784 14244\n740 15354\n5862 6158\n12632 16737\n2832 6048\n1664 12288\n1820 17420\n12767 17323\n7037 8839\n2498 3924\n8600 8623\n2802 6293\n4863 9748\n1899 5338\n6715 8727\n6284 12112\n5996 13758\n6283 9439\n1044 4639\n12044 14624\n7314 14615\n6879 14171\n12000 15329\n5575 7312\n2791 3381\n542 10407\n545 1195\n3548 6813\n4260 7842\n521 8595\n7707 11924\n2459 14045\n939 9428\n6828 13166\n1015 4112\n695 9963\n14225 16672\n9134 11768\n2225 15130\n10025 16267\n10092 16709\n4754 11104\n2539 12912\n2234 8399\n6853 10613\n2963 5912\n8561 14145\n2502 2981\n3503 10798\n2866 16120\n8565 12709\n7334 9797\n1092 2062\n185 12133\n11010 14068\n11343 16347\n6715 13621\n1500 14430\n14078 16753\n4096 7375\n4281 6185\n2646 16723\n5294 11765\n6336 15682\n13004 17192\n7673 10796\n3946 14815\n1712 7041\n9909 16222\n7863 15499\n1430 5406\n515 10309\n863 9226\n631 9051\n10467 14530\n10011 13039\n10156 13931\n7889 15832\n169 11654\n51 4667\n6408 16450\n737 8740\n4620 12077\n8731 17311\n8481 12494\n6317 9541\n10010 11999\n11801 16319\n4548 4934\n6563 8840\n5058 9244\n1850 15104\n1529 10730\n6131 11608\n5812 11406\n130 1347\n16578 16982\n1645 1773\n5396 7911\n289 14810\n4195 14608\n5471 13710\n9014 16375\n4769 12715\n3137 14409\n4790 15821\n10898 16310\n13134 16894\n8923 17094\n1328 5520\n2211 7971\n4641 14218\n3425 8318\n7910 14812\n2320 16362\n12 2321\n1018 10524\n10336 15734\n10070 11980\n706 6323\n8904 11255\n2338 7201\n828 15077\n3572 5686\n13246 17123\n5406 17315\n1249 3086\n1519 3839\n12107 16611\n1644 10105\n1157 1463\n7492 16356\n5654 10514\n875 16419\n4561 8576\n3168 6450\n8814 16316\n813 13500\n2817 12926\n5308 12023\n5542 16008\n3388 11432\n1063 10748\n4250 7429\n7367 11752\n1054 10834\n3882 14954\n2149 9076\n4675 5275\n3599 13626\n2513 12229\n4399 5693\n3858 7703\n1692 13577\n2795 15359\n2516 9323\n4450 5361\n10763 14103\n3798 13865\n3472 10564\n7183 14054\n956 15296\n2130 2515\n5528 11250\n4600 12009\n498 13530\n1671 5505\n5432 8985\n10393 17203\n6961 8971\n13446 16933\n2697 14084\n1337 13915\n5436 8493\n4355 11774\n12919 13658\n12880 15294\n3887 13068\n1914 13918\n2206 15535\n5984 13130\n12523 15917\n3473 14220\n207 1605\n2414 8620\n7426 14289\n6029 10126\n3108 16000\n1810 10717\n8134 16638\n6493 16609\n15300 15841\n1561 11954\n3252 16706\n4536 12431\n4755 14481\n4225 6111\n12697 13492\n7657 13642\n1260 10933\n4234 17280\n11221 15581\n5125 9580\n4213 16347\n15729 16285\n7667 12810\n2296 13859\n76 11282\n866 1190\n3904 4271\n8519 11896\n2970 16554\n1451 9541\n8452 15080\n11089 11825\n5689 14759\n7981 12538\n10641 14268\n1896 14427\n4579 11384\n3968 5765\n10141 11611\n2020 13981\n6585 9410\n11567 14798\n5375 8369\n6313 14324\n7120 13977\n1923 17419\n6439 13944\n1289 16307\n5730 15001\n10819 17158\n14257 16465\n11464 12861\n1745 7200\n4034 13189\n1790 6032\n5802 8528\n3350 11803\n5777 15632\n2740 9383\n1584 3732\n778 3301\n7772 12658\n5000 6974\n12157 12989\n2093 15685\n3356 7609\n189 11084\n1147 13818\n4379 8456\n4992 5872\n7203 9003\n6593 16590\n1083 16084\n12102 15112\n4497 12820\n1281 9977\n2262 8628\n5983 13372\n7381 11052\n2500 4505\n4912 14270\n14263 16880\n9664 13148\n8042 15031\n2639 3707\n3985 7330\n8400 10439\n2020 7361\n13571 16427\n2490 15528\n949 10398\n11748 14811\n7711 8205\n12072 16828\n2305 14004\n3960 16168\n11170 15766\n1671 12556\n760 2726\n8425 9871\n1074 14084\n5454 10865\n638 16003\n4907 11761\n684 11791\n5174 10940\n2393 15844\n6418 14778\n6865 9487\n12226 15677\n15901 16841\n4387 9528\n11911 16473\n2951 10374\n378 8588\n9990 16686\n5895 11313\n10796 15247\n8416 16548\n12799 13160\n3382 7642\n927 7024\n649 13475\n5363 15173\n7660 17049\n6831 10851\n23 5249\n2870 4251\n6986 10724\n10108 11911\n7374 16901\n3510 8582\n888 16554\n1924 10294\n15 13491\n2566 16947\n3538 16708\n8614 17332\n14140 14848\n1894 9556\n8839 17009\n1528 8868\n5142 8190\n10111 15040\n14242 15494\n5658 6060\n1813 10043\n5510 14743\n7797 12653\n7265 14187\n3300 13162\n1590 17134\n14100 17391\n6764 14975\n5069 17270\n11993 15682\n1233 5919\n2404 13146\n9334 10055\n1122 16338\n4569 11289\n3520 8037\n5246 6000\n2449 5080\n2745 3541\n12948 13714\n7253 15508\n6267 7663\n5932 7057\n6945 9715\n1892 17118\n10887 15538\n8476 12999\n3920 13750\n1520 2359\n3441 7644\n4952 11016\n3181 17090\n7180 14197\n12365 17146\n2922 16940\n1228 16326\n10537 10592\n1159 13368\n6197 16530\n10657 14312\n14132 14405\n12225 16043\n12787 16950\n461 15938\n11331 13465\n16948 17072\n12071 14873\n6773 11435\n5650 5896\n4241 11432\n14345 17350\n5953 13379\n462 15899\n2315 5982\n9417 14514\n793 8036\n3618 15514\n12373 12438\n817 4501\n3843 14512\n3508 15447\n7939 8694\n4388 14354\n3257 9487\n9837 16322\n1019 14192\n2656 5563\n2360 10027\n8737 16042\n2096 17209\n285 6110\n3313 4750\n7834 11681\n7182 13647\n7174 15183\n5871 16192\n1444 3971\n5535 12387\n5011 6776\n4687 14486\n12797 15940\n1860 17057\n6438 10879\n5731 8274\n1177 6994\n1813 10271\n10201 10560\n3230 4032\n2209 5675\n2726 12756\n3418 16251\n5260 7510\n10775 11477\n4207 10474\n6350 7048\n1166 15991\n4282 4753\n6945 7228\n2779 8353\n7921 9039\n4510 12039\n7835 17065\n2800 13804\n1752 3801\n4998 15159\n13219 17211\n10409 13952\n10715 16017\n16809 16981\n4169 9539\n9642 17002\n10210 11559\n13318 15958\n10356 15471\n10739 12967\n5735 10703\n6972 9300\n3944 9297\n7226 16855\n2163 11717\n2959 16307\n3279 16064\n242 15317\n2635 10791\n7364 15043\n454 6489\n2341 14135\n7517 12513\n5389 16910\n6060 9475\n7880 10624\n337 6381\n9724 14743\n6367 8848\n8321 16530\n2552 3107\n3454 10875\n14237 14289\n2649 12352\n11808 15404\n1692 11608\n8204 15733\n6563 6945\n2911 15112\n3035 15558\n16937 17252\n4222 16330\n12623 16902\n13137 13191\n3590 10425\n796 17225\n1847 13643\n8770 14646\n4904 7612\n324 1483\n1373 5602\n413 13563\n10596 14972\n1278 6918\n1885 8759\n3891 10458\n4763 9981\n4048 16435\n2969 3348\n14281 16265\n8415 15499\n2056 2939\n1079 9398\n3579 10361\n149 5540\n7250 15665\n3752 16221\n9030 11126\n10886 15769\n2536 10893\n3656 7082\n120 3543\n3387 13935\n769 11043\n203 1523\n3184 3715\n9685 16835\n12859 14473\n5323 8179\n5963 8090\n12203 16113\n5978 6970\n9509 10536\n4548 6315\n13437 15836\n6144 12794\n1796 11261\n2503 7339\n3259 7765\n3680 14776\n2998 17351\n2670 10361\n712 3451\n4801 13769\n1555 12811\n747 16178\n2925 10775\n580 3843\n12555 17026\n4666 7977\n10487 15836\n10225 16310\n9395 12049\n2032 13116\n11015 17008\n6075 15286\n652 5702\n13089 14366\n3151 6819\n14388 14502\n7884 14654\n1912 9585\n4436 12914\n4038 11744\n3663 7424\n3508 9482\n3861 14483\n1506 3083\n204 11588\n2503 8954\n9961 10573\n14609 15044\n1800 9981\n6885 9831\n6783 6911\n9295 9791\n11997 13392\n8033 13565\n3667 8092\n5528 11463\n7845 13679\n5447 10800\n1910 10242\n8076 9678\n3336 15411\n196 17368\n991 3218\n3198 9438\n7655 14598\n6786 12691\n3939 14124\n13401 14503\n12720 14508\n1067 3609\n14182 16018\n8711 16633\n530 6237\n4740 14247\n590 1654\n2867 15932\n5041 11486\n233 11803\n15433 16962\n9488 12815\n13589 14972\n2932 15431\n13816 15979\n15085 16188\n3703 9171\n1107 1959\n8115 13963\n5473 8533\n4430 9872\n841 4115\n1162 17359\n8833 10552\n1758 4106\n2747 5227\n2342 2912\n338 14301\n4782 16460\n7297 12709\n3078 17428\n6861 9794\n2611 13748\n6406 9038\n12110 16182\n10654 12542\n1470 12923\n6839 15032\n1559 8116\n2733 14759\n3912 14075\n8222 11797\n5431 10300\n4020 10362\n1789 11953\n11517 15430\n6351 9768\n4247 13427\n3621 6234\n10680 15495\n4679 13743\n5235 7780\n2841 13141\n12417 17440\n6005 8443\n3086 3278\n8217 16608\n754 7367\n8694 12639\n8367 14995\n4461 13774\n2787 14667\n11682 15524\n1710 11895\n7700 9622\n1708 14824\n485 2702\n7882 13418\n3822 12020\n2044 7784\n1797 2066\n4308 16260\n8089 13582\n9292 11395\n14905 17073\n10393 16591\n5998 16023\n2364 16497\n7696 8904\n2427 7408\n2008 5001\n8275 16431\n444 4999\n10776 15438\n10212 14644\n12016 14177\n4276 5548\n1571 9576\n102 4056\n507 2878\n9735 14229\n207 6746\n10604 14132\n7381 11902\n5389 16474\n5016 10442\n2167 8224\n393 17162\n10457 14138\n4220 14971\n1608 12323\n1626 8795\n8095 15535\n4419 8001\n821 10619\n3259 9110\n7854 16307\n3119 8819\n3823 10038\n1606 9229\n5151 15279\n5192 13813\n6650 11979\n9195 12896\n4794 6707\n2879 13602\n2939 12531\n4873 16466\n12264 12596\n12396 16643\n7806 10565\n5988 15187\n13186 17430\n560 9487\n11667 16984\n589 10315\n1099 7795\n8301 8720\n7512 17231\n2144 9581\n181 3221\n6635 9678\n993 14410\n5383 10776\n13064 15109\n9424 9839\n1830 10444\n2441 13044\n5844 16801\n7389 12786\n12490 15821\n15016 17061\n529 6024\n7201 12464\n2537 8522\n11606 12649\n6210 7749\n6899 7300\n131 2904\n1222 13552\n1240 4763\n3606 17111\n1155 16243\n5816 5992\n5308 17301\n10225 13712\n9677 12862\n7938 11022\n14102 14760\n4577 14816\n2538 14724\n8283 13702\n15638 16972\n1902 16223\n1349 1952\n11941 12947\n8160 11319\n1603 3574\n3929 7765\n8528 9291\n2801 8253\n5222 12995\n6360 8075\n3195 15377\n2867 4309\n9818 11016\n5784 7247\n5194 6162\n4099 15892\n2239 14589\n2542 3777\n707 5649\n2291 15947\n4974 5498\n8606 13618\n4373 7197\n10684 14382\n3482 6757\n1508 11743\n8616 15878\n6032 11709\n172 5224\n6882 15879\n2331 6959\n4654 5538\n11904 11951\n700 8005\n11596 16116\n5859 13377\n3799 4735\n1723 2285\n3443 16177\n8281 11385\n2324 12332\n3361 14767\n697 15213\n2753 13806\n9144 14882\n1466 3926\n9405 15535\n10952 17453\n2941 4598\n874 11646\n3060 9209\n5351 12540\n6441 8462\n9056 15461\n2176 11222\n6879 14172\n9365 9712\n7227 16503\n388 13672\n3376 14732\n3599 4001\n562 16175\n4474 11257\n5719 17029\n8646 10703\n16268 16602\n6136 15715\n4514 6109\n8958 16696\n9433 16418\n5096 9903\n2138 16251\n2531 6477\n2693 9637\n4274 6177\n10195 17171\n1237 13565\n10349 10522\n1012 2726\n2735 11494\n14882 15412\n6250 14111\n6176 14222\n2977 15144\n5297 8340\n8815 10925\n126 16743\n11157 13787\n9698 9848\n2945 7803\n2394 10257\n3710 6458\n821 6725\n12743 16758\n1729 10999\n6466 10394\n14515 16608\n5804 8941\n11347 11732\n2968 6956\n6964 16804\n9611 17330\n3352 5731\n33 2973\n11591 13934\n3100 4067\n2691 8526\n9936 11150\n10936 12312\n6330 10237\n8820 15128\n3098 14044\n8629 11060\n1948 9796\n2626 15167\n3974 17460\n5231 6412\n2452 8111\n2978 8947\n5055 7133\n4260 4617\n2835 11931\n13020 14387\n3778 7923\n2775 14847\n8076 16454\n4220 6240\n3246 4635\n338 14063\n2945 5070\n5167 16185\n6275 10779\n2453 10440\n2359 2822\n2294 13181\n16316 16480\n6095 11365\n9447 14389\n11087 13055\n659 10934\n5814 6626\n5611 10507\n12547 12780\n11769 16400\n6499 7828\n1853 17189\n794 9853\n5995 13254\n9745 11542\n4759 7647\n3652 12906\n7685 15137\n177 6920\n11145 14767\n11322 17393\n4085 5297\n5570 7357\n3427 8449\n2841 8237\n14299 15962\n3467 13587\n11409 12370\n12250 14814\n1801 16178\n12968 13417\n10039 12883\n10905 13592\n9391 16997\n3613 16669\n13488 15110\n2853 7948\n6927 7160\n1481 2311\n16185 16452\n2666 15764\n9950 11315\n26 2922\n4748 12118\n7066 13581\n3282 13409\n5698 9920\n13160 14863\n14578 15783\n5691 17125\n3003 12293\n1877 5875\n2003 11640\n8470 14900\n4083 9329\n513 5082\n2772 12608\n11533 15912\n7315 10813\n942 4859\n251 11219\n1303 12453\n3510 5744\n8648 10153\n1525 15330\n1172 8599\n3073 3647\n6829 8306\n1621 12142\n12487 13018\n12161 13106\n3043 7746\n11681 16553\n2507 15039\n803 8572\n5793 12548\n13594 14919\n4520 10324\n4263 9707\n858 17445\n3171 14778\n3332 13262\n3514 10131\n10717 11659\n4756 9827\n2842 12013\n5147 9980\n14466 16006\n9448 13877\n13321 14655\n7002 16124\n3045 3578\n7527 14546\n11138 12885\n2459 14600\n14285 15227\n3039 11799\n11538 14206\n10754 13146\n6213 11205\n4648 10713\n6215 7500\n3340 4285\n6467 16678\n7160 15086\n2047 10424\n3057 3434\n13548 17395\n4211 16472\n6893 12045\n4341 15537\n2456 13115\n2337 8602\n1108 2221\n6128 13030\n1677 16631\n3618 3726\n6904 10760\n3295 9327\n12340 15373\n1848 3551\n7021 14687\n9020 17407\n2584 9939\n5908 6628\n10994 11909\n4860 13914\n1288 9041\n10062 15928\n7394 11321\n5547 16973\n2364 14624\n4288 5741\n2303 14707\n1093 13131\n15241 17196\n6483 10940\n9791 13464\n10135 15071\n8907 12909\n35 13833\n4812 6781\n5684 7367\n6299 11206\n12196 14957\n12230 15780\n9117 16620\n8528 13095\n100 8290\n5270 11871\n80 15680\n6584 9832\n4872 11184\n1645 6491\n1166 12519\n9303 13864\n8209 13011\n10250 11773\n2759 12701\n6407 9460\n3231 15464\n11101 16293\n688 12273\n1922 6274\n3824 7615\n13229 14002\n2868 12435\n11769 16272\n1136 14803\n4381 7858\n4027 7972\n12132 13384\n3460 16063\n120 11559\n4138 10679\n10585 11812\n6456 11228\n10064 13666\n4022 11773\n3026 5687\n13389 15008\n5742 7706\n5384 11047\n7145 16073\n1961 6240\n11835 12698\n4268 5480\n4442 8738\n5249 10087\n16972 17055\n2103 14652\n5438 9589\n5251 9797\n1596 6588\n129 15577\n15372 16160\n1164 5958\n2627 5482\n5920 7749\n10967 12954\n3830 7537\n529 12903\n7051 14901\n6833 16189\n3164 15051\n3804 16808\n8189 10485\n5896 8177\n11157 14210\n14244 16092\n507 9087\n875 13829\n11513 14593\n2251 10327\n9948 15320\n4729 13087\n6468 16497\n573 15982\n3458 4398\n9111 11248\n11483 11897\n5511 10473\n5995 7455\n1626 3146\n2215 15280\n5701 12023\n2608 14284\n6462 8317\n3567 13200\n6940 10748\n13153 14793\n8514 10807\n1340 4834\n3720 8104\n1552 4388\n3294 6861\n1916 2934\n4854 12265\n7913 15796\n7990 12364\n2046 11128\n521 12804\n3079 15478\n3354 13239\n8573 12744\n4293 13184\n4169 11948\n7172 11288\n184 11837\n10781 11759\n5332 14485\n813 1006\n8791 10761\n15073 17458\n246 12375\n813 10475\n760 7199\n5891 14215\n3662 9651\n3719 14762\n14206 16284\n7392 13688\n3853 16558\n9758 10553\n358 539\n3567 4725\n1217 1437\n2204 12278\n3247 10709\n8719 16046\n15825 17417\n5328 6647\n548 2429\n1149 8067\n3833 7162\n6660 13080\n6391 6998\n2221 3415\n3168 8867\n8057 15705\n6212 14403\n850 2538\n571 4183\n4903 7635\n1516 10068\n1627 11076\n6842 14047\n2483 15444\n4571 5105\n6679 7516\n14844 15502\n1865 8954\n234 6459\n7433 7705\n15273 17277\n5801 15274\n7493 9880\n2265 2859\n4325 17275\n10687 14655\n8674 15711\n15890 16268\n6723 10114\n3666 11015\n7602 16120\n2963 5243\n4660 11854\n247 11233\n9426 10002\n13227 15330\n9778 10442\n12159 12801\n13394 15367\n7073 10766\n9875 12032\n7162 12109\n9610 15509\n4956 14119\n85 6547\n9503 13553\n8255 12374\n8132 12581\n2265 7992\n4420 4715\n379 4066\n7699 10320\n4818 16214\n6824 7851\n2397 12449\n9553 10458\n979 15600\n14871 15457\n5500 12458\n11161 11894\n1308 16708\n5065 13589\n4217 9652\n13000 14892\n4657 7786\n8542 15664\n2788 7276\n14566 17218\n2871 6548\n10217 13113\n274 4622\n1006 11148\n2613 8311\n5861 9818\n935 16481\n2782 15136\n10038 11851\n3248 14969\n1662 11935\n7664 13922\n4427 6861\n9724 13759\n450 2687\n2984 11616\n4398 12937\n1984 11488\n6329 12091\n3908 10907\n2448 16630\n4115 14708\n3957 16970\n13331 13427\n8200 17153\n5387 17254\n3623 17252\n1047 9869\n8736 12333\n9795 11369\n3654 15190\n2490 5937\n945 2159\n2155 16827\n2224 16495\n1396 15866\n600 6774\n6570 11271\n4045 11195\n7162 16962\n317 6289\n8970 16889\n2033 2295\n9163 14640\n1239 17001\n1600 1901\n11658 15763\n5968 9272\n8319 15194\n13822 17381\n7720 13027\n950 7511\n52 7517\n4911 16966\n4874 5564\n2696 10916\n10402 11421\n6987 12678\n11273 12774\n10637 13106\n661 15255\n3596 12063\n15134 15883\n8150 10827\n8990 11793\n166 1337\n941 17046\n3742 4997\n3233 11314\n2593 6122\n6764 16800\n4422 13445\n4986 6255\n2466 6548\n6744 15483\n6658 15354\n16010 16829\n2668 3019\n10068 17202\n2613 2644\n8356 10941\n8834 9343\n3147 6868\n5669 7223\n1711 4960\n12241 12716\n7974 10518\n4298 7401\n6640 14448\n1639 13422\n2237 7996\n15248 17068\n8709 10568\n1612 4747\n9720 14433\n2639 3041\n1419 5889\n3838 17093\n8575 10149\n6457 15013\n672 7948\n10636 16980\n11366 14303\n4684 5496\n6843 10551\n10394 13684\n694 10762\n957 10541\n1393 8624\n2800 4458\n4796 10542\n8678 9692\n16915 17171\n4887 7676\n5661 9547\n1697 13597\n8076 11748\n1924 16385\n14154 15710\n5033 7165\n9808 11181\n361 7933\n6585 11130\n9943 14925\n3249 10342\n11271 16892\n8618 12490\n165 4693\n2943 6225\n2590 14832\n513 13619\n17301 17455\n326 10713\n7283 13956\n2484 11518\n7947 16689\n2325 7001\n3070 15047\n797 2764\n7432 12284\n4207 15065\n5886 7449\n292 9294\n7475 9866\n11326 16198\n1720 4033\n11267 16409\n3990 11436\n6406 7924\n9158 15496\n6344 13781\n2789 6174\n2000 6877\n6442 14286\n801 5046\n7887 12889\n10992 14735\n4659 9498\n7040 14684\n7272 7500\n4921 11200\n6913 7257\n864 7184\n6689 11717\n4942 9064\n5348 17358\n13249 15148\n4253 7584\n10557 12379\n2049 9364\n8657 8712\n6478 9089\n12783 13054\n816 6316\n1967 16466\n1994 11586\n3282 4144\n10248 13358\n12247 12461\n928 6460\n13350 14845\n6566 17161\n624 7119\n9531 11513\n6207 17130\n321 9522\n942 13033\n9594 15267\n482 9781\n9091 14196\n1135 1183\n5078 6996\n3848 12832\n4533 14556\n4244 12789\n55 15154\n8832 16522\n663 984\n4660 10189\n9491 15685\n400 17221\n192 2577\n774 16904\n1339 9227\n15739 16667\n5786 7432\n7807 16439\n818 5655\n4945 15595\n8159 8751\n6105 12212\n3599 7729\n549 16104\n890 16913\n7592 15716\n14256 15908\n13049 13252\n3456 13895\n7932 11534\n5943 11068\n3105 13518\n1963 3420\n3365 11887\n9488 10610\n1117 1611\n3932 6321\n4898 6818\n4084 16797\n13772 13844\n4777 5970\n3618 6414\n4101 8840\n3898 6373\n6960 10069\n9111 16573\n15947 16399\n13039 14292\n4326 11921\n2142 8619\n8006 13224\n1276 7505\n3876 8630\n14436 15762\n1645 14375\n14251 16091\n3518 14137\n10224 11267\n14520 17427\n1916 3000\n5505 12901\n10494 11126\n6934 16346\n1226 15162\n7381 10054\n6643 14269\n4385 7786\n1103 16848\n938 1667\n8396 10798\n5899 8781\n3702 9717\n14695 17064\n8847 11648\n566 5339\n11693 17201\n9584 14689\n3390 13215\n7945 15260\n3284 9553\n9545 11332\n9918 16354\n6006 10031\n4067 17246\n9103 9162\n1034 3144\n6713 16128\n8014 13690\n5730 14238\n6609 17167\n12407 15148\n4573 5591\n2220 8265\n8014 12366\n627 4496\n753 12583\n3769 9307\n2114 6762\n6826 9281\n8296 12863\n2385 7739\n1448 4511\n9525 10939\n4639 10163\n2749 14923\n1683 15029\n7586 16484\n11231 11940\n2791 7978\n2157 4569\n536 5973\n2763 16628\n2396 14183\n2376 12664\n6519 6661\n7740 15624\n3091 4715\n8916 10677\n652 13598\n3366 15433\n11483 14017\n2521 6327\n5402 7443\n4271 7230\n4072 16928\n4459 7222\n9163 16454\n11180 13445\n8894 14344\n14381 16871\n13451 14701\n5112 14641\n14240 17040\n9198 9872\n298 16895\n6523 15286\n8656 12460\n1062 9846\n13527 13563\n242 6025\n6405 16943\n6915 14810\n788 6725\n6334 13651\n5556 16067\n5295 10302\n2319 3052\n304 10681\n14552 17309\n2006 3846\n3841 6138\n5164 17123\n5253 5747\n5374 5410\n1881 14615\n2383 12041\n231 10337\n2288 4507\n1233 4292\n11023 17360\n4800 14566\n11996 16847\n3767 15917\n6203 9910\n12435 17397\n6074 16704\n5922 15039\n2123 16693\n10424 16790\n7122 16061\n7498 13892\n81 15188\n5625 8307\n2861 11564\n5057 11873\n914 8783\n13619 14314\n8060 16893\n1741 8320\n10616 17078\n1093 5295\n836 17112\n7018 13753\n7996 16090\n11447 17281\n518 9618\n2450 9048\n307 7249\n6363 14215\n13135 14942\n12216 14074\n429 2580\n2453 6678\n439 8941\n16687 16949\n1992 8523\n2502 11623\n8655 15707\n10495 10989\n1889 12849\n11149 12121\n3934 14352\n1792 8026\n8941 9348\n1695 15863\n6482 17433\n2863 12573\n8846 17411\n4769 11446\n10156 13219\n611 13117\n292 9426\n6146 6879\n9691 14430\n13745 15599\n5409 12776\n2745 3212\n64 2494\n5289 11348\n12241 14172\n421 12807\n8779 15217\n10852 17310\n2487 6637\n11365 12030\n8327 15524\n2536 14954\n12708 16065\n13457 14299\n5380 6109\n5224 10652\n4523 6808\n1216 6717\n6620 12550\n317 17146\n14551 16160\n10948 14942\n15908 16740\n9709 16406\n5893 8448\n842 13887\n2174 5919\n1146 10805\n2238 9850\n6449 12786\n6783 14822\n3729 9162\n8398 17010\n992 9636\n5918 13420\n11536 16624\n201 3964\n8547 12420\n10991 14850\n961 12534\n3201 16317\n3954 6822\n1764 2717\n1593 12942\n7264 13308\n2537 4991\n100 5481\n4355 13975\n5748 6388\n6786 11231\n17027 17335\n16521 17000\n6364 13243\n11224 13913\n5155 10857\n5978 15829\n3425 14719\n1536 7668\n20 5743\n3093 10860\n3019 9759\n4295 9092\n976 10847\n2790 8362\n258 12576\n7768 16802\n1567 5991\n5492 5667\n2411 9691\n4518 15672\n10304 13778\n7841 14623\n389 10979\n6945 11616\n9356 9812\n5329 14688\n2950 3758\n3968 13340\n10556 11255\n3627 13358\n11589 17377\n13895 15191\n309 16135\n1013 5867\n16629 17048\n2640 11683\n2043 6934\n6375 11393\n9458 16821\n709 5367\n3618 12895\n13050 13270\n3544 15351\n9665 14024\n3406 14245\n1829 14637\n4202 15523\n4975 14481\n4585 15917\n8755 14663\n759 11821\n10047 13504\n6550 8952\n7445 14160\n1229 1593\n905 11919\n1955 14490\n2408 9478\n3227 14981\n7039 13754\n13068 16108\n7540 13297\n3468 16589\n5300 12634\n14671 14873\n14548 16616\n6769 7917\n8388 10880\n4425 17188\n2502 12407\n2671 13122\n5691 9485\n4276 6386\n6963 16948\n6810 9244\n86 11882\n7254 10726\n2850 11408\n2819 14217\n434 11651\n7635 16928\n2292 4826\n186 1154\n5600 9875\n8891 10871\n4281 14338\n1547 5863\n3451 15408\n6485 7016\n9880 9949\n2770 13431\n4613 13563\n7459 12396\n7072 11085\n9231 15972\n9813 11601\n1705 4350\n7985 8987\n4673 10812\n513 11876\n678 16719\n7220 11120\n3753 14042\n8102 15065\n9682 11610\n3294 14486\n1945 12676\n12141 13947\n6409 9064\n12622 15444\n7433 12227\n1253 4037\n4155 12337\n6224 9966\n10234 12348\n4803 8285\n3649 14992\n10027 14395\n5785 6908\n2007 2466\n1986 14981\n8108 12525\n2550 11036\n8861 13490\n1790 5710\n3825 16399\n10042 14460\n4661 15869\n1818 2464\n2805 5117\n10950 11536\n5592 5665\n5616 16643\n14216 16739\n11019 16167\n6446 16493\n411 2303\n756 13051\n1520 14634\n5348 15469\n11192 15120\n5015 15716\n12982 17003\n11352 15955\n10381 16792\n9040 14531\n6028 11261\n6175 9522\n107 5279\n6382 9993\n13732 14889\n4236 16515\n2338 16866\n14146 14264\n451 6887\n4913 10247\n3470 15114\n8595 16536\n2439 15087\n10006 12799\n11628 15666\n5397 7094\n4896 17050\n1951 4367\n729 9814\n1634 17292\n449 8850\n10386 10600\n4096 15010\n5113 14306\n358 10977\n3204 7862\n3765 14485\n3994 8567\n10131 13821\n3076 9123\n5461 17394\n5568 15951\n10191 12480\n9148 14602\n6466 14209\n1594 12125\n820 11787\n1894 7183\n5836 9390\n3900 11997\n11272 16682\n9324 10597\n4170 5638\n13495 16529\n4729 11114\n4916 5279\n9907 14103\n3573 6133\n5783 12673\n3705 13490\n12790 13509\n9696 11275\n2330 7558\n2062 9046\n107 1015\n9118 17188\n7561 15653\n8657 12997\n6089 17103\n1377 15261\n14068 17397\n1015 14633\n13094 14582\n12526 13820\n941 5727\n12999 14796\n8274 11393\n1076 7854\n404 17086\n5902 12668\n7867 12151\n4892 14912\n647 10408\n559 12546\n6749 13412\n3986 12093\n11169 16091\n3473 14134\n1531 13750\n3904 17300\n5129 9160\n6084 10505\n4134 13506\n917 15504\n7504 8953\n5198 9424\n1037 6885\n450 6828\n10722 12569\n2191 3596\n8480 16472\n1822 6488\n3796 4311\n7091 8814\n7334 11110\n15732 15972\n1181 3039\n3886 12124\n2711 15843\n2405 12381\n10306 13819\n123 910\n5715 13801\n9561 14796\n1378 10429\n12453 16485\n4853 15643\n1420 3803\n8240 14176\n4833 16519\n5346 9877\n10307 11609\n2659 17300\n515 11788\n139 13286\n10691 12169\n2757 6372\n1456 7155\n2836 10656\n7366 14019\n6122 12154\n2543 14589\n1388 14453\n12965 17009\n6886 16839\n1584 15333\n1936 9270\n161 7510\n7662 9246\n8628 13235\n1588 11811\n7612 15113\n9618 16369\n1323 13192\n2042 14912\n5763 16902\n2400 10484\n8006 16049\n11340 15156\n2206 15629\n7710 9343\n9683 14167\n7764 14652\n5986 16939\n9562 11881\n4167 8489\n11925 13958\n15631 16065\n6827 7926\n7697 16100\n2913 3066\n3830 6044\n5954 15336\n9665 14157\n331 8735\n6663 9961\n5766 13999\n1428 16458\n3678 4314\n3611 7100\n7588 16137\n9500 10837\n4589 6059\n7863 11933\n5164 7183\n4138 13747\n3939 10973\n1776 4056\n2724 13014\n1139 9003\n1650 14364\n546 5683\n2068 5895\n4215 6130\n681 14486\n4612 11274\n1425 16947\n6236 15892\n10101 16016\n3723 4416\n2607 6656\n402 10275\n6899 8869\n2545 9325\n4720 10270\n3637 10822\n4257 15619\n8484 15202\n35 6602\n6268 10666\n6267 6351\n12496 16555\n1770 12702\n5801 6942\n1855 6972\n4386 16227\n251 3191\n8326 16058\n4024 10012\n5286 8489\n2166 4862\n13908 16250\n3405 15601\n2108 13219\n8624 12214\n2215 14819\n2569 13846\n2041 6295\n12676 15066\n6546 9946\n945 3608\n3209 16932\n2489 8819\n6493 10527\n7581 11224\n9221 10137\n4036 7157\n9755 15644\n1946 13355\n8173 9468\n14196 16591\n1036 4952\n11058 15279\n13636 16153\n6009 6097\n4052 9525\n2381 3876\n6355 13082\n10519 17262\n3406 15118\n6555 6644\n6684 14928\n1915 6965\n7508 14091\n2619 4739\n1514 6014\n6526 7251\n1304 2158\n7136 12240\n2846 7193\n2732 3008\n2585 10250\n4683 14282\n8048 10806\n15063 16081\n1524 12694\n7039 12098\n10087 11394\n1606 8236\n8740 12135\n14510 16590\n1744 4976\n432 12728\n561 13951\n108 8691\n12591 16944\n605 14564\n5963 7209\n1347 12943\n1102 17323\n2055 14436\n5118 15763\n1350 3110\n6685 13243\n3273 12929\n1112 16947\n929 4135\n1164 10300\n4010 6092\n7779 11112\n10821 11267\n16015 16539\n3544 9068\n1861 17402\n5104 9623\n8763 11043\n14286 14407\n6705 10886\n12034 12772\n743 13407\n3320 17205\n3665 15920\n10915 16751\n270 14679\n5841 6625\n10299 10494\n6956 13845\n497 15734\n875 1952\n15986 16967\n2694 12108\n6756 12529\n13808 16220\n10150 10789\n3104 11765\n9775 10982\n10726 16201\n5171 11675\n6831 13788\n11537 12682\n9097 15344\n1949 3090\n967 1544\n9739 15686\n8621 11190\n12174 14859\n6145 8574\n2095 3204\n927 3664\n6938 7573\n8582 15188\n5122 13784\n12420 13374\n2164 17221\n11325 13334\n8786 9748\n34 8019\n10634 13708\n9795 14074\n8878 13128\n8976 13698\n1413 10974\n2945 5819\n3420 15598\n2957 4455\n14118 15532\n8394 14107\n507 12510\n904 6915\n10580 12579\n6012 8849\n3365 3507\n11725 16228\n3917 8401\n1915 7364\n700 10494\n765 11083\n11351 13727\n4216 14422\n8394 15973\n6745 16796\n1039 13120\n4547 15361\n3382 13830\n7161 13648\n8063 8615\n2760 3509\n1676 8744\n4711 16229\n6999 16723\n14519 17093\n9339 9607\n14737 15665\n1721 9733\n11953 17332\n114 14017\n958 4065\n2022 10172\n5627 8646\n4541 16940\n2143 9438\n8454 13077\n8181 8667\n11293 17247\n5333 10317\n5121 12458\n3474 16230\n212 3201\n7901 11300\n4677 13461\n1052 9063\n11252 13983\n1181 6068\n9950 17038\n10322 16499\n1907 15231\n3422 3932\n11942 14352\n7571 9794\n655 14352\n5063 12130\n11067 15103\n3526 11664\n3654 11938\n9298 12945\n11097 11501\n7055 14890\n6863 9978\n5343 17418\n10320 16227\n8252 17261\n5266 12745\n2101 7634\n3568 9216\n3633 14002\n8421 15020\n48 1673\n13700 14002\n4929 12707\n381 9916\n3738 7651\n11946 12459\n4713 9539\n3493 17331\n10188 12981\n2260 13120\n11468 16487\n6747 7004\n9400 10209\n6491 12890\n769 14929\n5711 13856\n8966 13585\n8957 14735\n3407 13113\n5300 6123\n5369 15363\n1436 13518\n230 13318\n14728 15062\n4065 14066\n8938 15176\n2366 10227\n3936 8927\n5284 10588\n12032 13392\n5093 14398\n4330 16716\n9785 15209\n10632 11798\n4664 11755\n2167 11308\n1314 11812\n7569 7921\n1345 13532\n12377 13724\n318 5672\n1899 13234\n2673 10453\n7184 12620\n5021 14232\n1951 8301\n1951 10355\n14280 16681\n1389 4803\n14873 15886\n8262 12241\n2300 6059\n13753 15546\n917 12405\n5573 16909\n16188 16313\n4781 5868\n521 13636\n475 5287\n2577 4470\n7342 9877\n1255 16949\n12750 16839\n8541 13968\n6729 8429\n11615 14380\n9174 16783\n4533 11327\n314 1376\n5910 9530\n9790 14754\n3349 11272\n8178 11204\n3034 10066\n918 9125\n1394 7251\n2 10547\n2106 12027\n2150 4473\n13998 16422\n427 7164\n2191 13819\n15045 15476\n12053 16811\n15793 17104\n2233 7103\n10714 11980\n12568 15834\n2506 12666\n3514 13335\n10774 12128\n1782 10529\n11289 11619\n10329 14056\n1212 7640\n4455 15337\n8421 16832\n4819 10669\n10288 13714\n2852 14690\n5628 14657\n3520 3989\n1192 14347\n3086 14521\n11883 13144\n2023 15963\n11797 12491\n12186 13731\n4425 16431\n1392 13297\n11797 13794\n6955 9564\n1155 5214\n6181 13923\n5635 10438\n13140 16028\n2267 6636\n5946 14219\n13634 15577\n6727 8852\n7188 11076\n7205 10501\n2781 13419\n10787 13597\n10023 11588\n8997 15177\n8804 12607\n6096 12416\n12985 15575\n11961 13074\n8595 10448\n5784 6219\n4285 16680\n14498 16062\n3097 13059\n5356 8763\n14134 17324\n1366 1667\n4392 13204\n7924 14274\n5683 8655\n1489 6942\n3408 16330\n6007 13500\n8227 13952\n186 4845\n1744 12018\n1512 11148\n2093 9156\n3871 12393\n984 9248\n14001 16187\n5594 5859\n3510 12731\n402 16897\n6952 8338\n9020 16805\n10107 14476\n4472 14696\n3951 14107\n705 11533\n7717 12809\n12251 15072\n3638 7178\n869 12092\n9092 15528\n6801 13739\n9982 10037\n169 7439\n9230 10132\n2020 6893\n875 2837\n8376 13692\n6126 8412\n8376 11084\n2231 13110\n936 14625\n5805 7192\n1704 2078\n4804 12310\n8533 11325\n3622 9205\n7569 15498\n8769 12270\n7612 11324\n11601 17004\n492 12277\n5075 13835\n7002 8402\n8672 15537\n3358 14133\n4497 17297\n1710 12815\n2167 11062\n12360 13564\n9592 13137\n1060 9296\n4092 13274\n3883 11198\n4170 5756\n2022 9584\n8405 15408\n4256 17033\n553 8481\n1208 7490\n4728 16085\n3918 16308\n13314 16701\n10272 13601\n4066 13215\n378 7729\n7092 8491\n13826 14928\n4989 13248\n873 6441\n4807 6189\n7680 12837\n2902 10550\n7339 10686\n3442 16368\n10188 10909\n4334 14131\n1441 10843\n5095 14665\n1523 14949\n2470 8681\n12506 16104\n2972 7826\n5966 14362\n4672 4695\n2919 16985\n4953 10908\n1243 2174\n2922 12121\n9902 15519\n1118 16381\n774 7500\n5522 12732\n298 17024\n13709 14201\n381 7499\n5589 7855\n9135 11263\n8127 17051\n4303 11543\n8660 12806\n7773 12969\n12276 12287\n519 11501\n2872 14189\n10155 12286\n8671 14275\n3385 7592\n7790 14822\n14478 15136\n105 11580\n585 7072\n4808 16945\n2702 11914\n804 8885\n6658 7264\n5112 16598\n14474 16257\n6472 14489\n2508 9844\n955 6607\n6212 15096\n12371 13197\n5250 17058\n7397 13896\n13518 14243\n1994 10597\n3766 11372\n996 14894\n7686 12714\n1235 11863\n54 14320\n9537 14194\n3933 5521\n788 3515\n2201 11932\n2009 4153\n11156 12449\n13040 16058\n3179 14996\n10283 16763\n1667 6543\n4875 13608\n5334 14471\n6598 13413\n11494 12009\n6429 16679\n3011 9587\n5148 14020\n4110 16488\n513 8319\n1679 7215\n139 8250\n2068 6777\n4666 15874\n5540 13836\n4599 8940\n838 15971\n8797 16233\n5684 9106\n8772 15025\n9760 10864\n103 3352\n3384 4479\n2703 10041\n6936 10212\n8851 16586\n2053 16273\n6668 11664\n7379 14237\n3663 14046\n32 4699\n6563 10133\n14412 14897\n11914 15345\n1099 8905\n2607 5858\n6564 17022\n13567 13595\n9415 10055\n810 9651\n4583 11114\n8125 17073\n2968 5624\n8773 14902\n3930 12849\n4865 13369\n4269 7435\n1055 11126\n1749 14462\n377 11974\n11376 16554\n8894 11518\n12225 14076\n1510 10194\n4370 9154\n6996 7068\n2773 8474\n10021 13184\n14752 14811\n6960 15025\n4313 11060\n2579 14774\n7360 7506\n7149 7482\n12984 15920\n9791 17098\n2447 5157\n5106 7914\n6963 14387\n14679 15718\n4179 8359\n1831 3347\n7348 15103\n13841 14297\n1482 2725\n933 3443\n1722 13985\n1220 13127\n15506 17152\n6155 6487\n454 11831\n1602 4864\n6684 12746\n962 13462\n13075 13733\n1241 12591\n3921 8853\n8337 11349\n717 10633\n2191 7152\n2599 15756\n7023 8562\n3753 12967\n805 10203\n94 4934\n3459 9506\n6003 10099\n8097 12740\n2739 8500\n104 3953\n2398 7723\n5833 7546\n7623 11525\n10218 11219\n1696 5378\n3192 15846\n945 8802\n9632 9806\n13696 15749\n644 15319\n7306 10278\n5285 11621\n7787 8779\n6222 14435\n2628 7281\n13565 15345\n1748 16142\n6359 7640\n8222 16850\n12878 15142\n2044 7933\n1288 15624\n802 8547\n1048 16382\n84 3875\n10375 15695\n4513 4958\n4984 13365\n13233 14222\n6478 12348\n8546 10565\n5979 12956\n13306 16410\n1940 14635\n5481 9021\n4269 6449\n7714 10396\n14927 15373\n7936 8177\n2577 3811\n9831 12723\n12726 16104\n541 16246\n2978 15287\n820 15485\n2030 10424\n4601 5731\n8462 8469\n4039 10794\n4423 9766\n1635 2276\n11654 16584\n3141 3927\n1000 9722\n187 12774\n896 7961\n915 11454\n2475 6702\n2330 6400\n5769 13082\n1080 9886\n5972 7042\n6016 11060\n5880 11522\n2603 8522\n13434 17370\n4514 14484\n3801 11102\n3344 15665\n199 14977\n10183 12372\n3794 14242\n3709 4298\n2146 3832\n1540 11762\n1834 6439\n7216 11614\n7702 15547\n6130 16122\n4965 16148\n4512 5584\n13050 15208\n5919 9740\n7120 8658\n10047 17275\n2117 13488\n1482 9296\n7649 15866\n6524 9035\n6726 17164\n11776 14587\n1261 10214\n1584 8845\n2655 10977\n2177 17044\n3336 9921\n6471 14554\n811 14530\n4105 4173\n181 16635\n4454 13028\n5449 7350\n6095 7762\n5564 9876\n1989 4736\n3602 5435\n15692 17197\n3436 7731\n492 2956\n1866 11536\n4161 4639\n13109 14381\n7057 14633\n5743 10236\n2043 6463\n934 1702\n6404 6676\n175 9128\n2696 9694\n3210 11384\n4995 15718\n7593 7785\n8274 16056\n16221 16662\n14178 16474\n5275 9291\n11241 15350\n6598 8541\n2757 16307\n357 10439\n8430 10867\n2882 15840\n6112 14015\n11450 13640\n2280 3696\n7201 9386\n11039 15923\n8153 13420\n10071 14007\n512 11217\n10900 16109\n2100 14704\n141 15613\n2293 5098\n8031 12474\n5800 10334\n4058 7979\n2515 17218\n5907 11655\n5332 6436\n11603 15127\n1212 12772\n4560 6397\n4175 9895\n4211 8121\n1639 7310\n4351 10939\n7838 10028\n1156 15915\n1926 13361\n531 17137\n11154 17123\n142 5612\n3823 13007\n7205 9005\n4229 11203\n1571 3361\n4167 15947\n6147 12342\n3261 7300\n10015 12909\n41 4851\n1974 14424\n16546 17038\n16826 17164\n10898 14382\n4049 10977\n6473 15077\n2376 8056\n8018 16053\n15666 17160\n12563 17140\n2971 14662\n9465 10977\n13672 14954\n6284 16573\n5791 11317\n15316 15381\n6358 11190\n7464 11118\n11329 11858\n5356 11109\n10946 13456\n1039 11970\n2939 3497\n5385 14034\n12226 16357\n10878 14461\n3712 9602\n11056 12505\n3037 7688\n1065 14591\n10449 15016\n4643 11607\n5260 7624\n1481 9220\n7831 14259\n5525 11129\n156 7585\n1178 14267\n9381 13596\n15379 17246\n2907 13091\n7561 11877\n7468 11205\n3295 15018\n11549 11928\n10817 16753\n7069 11219\n183 3847\n7417 15930\n3350 6890\n15103 15786\n1562 6272\n7019 10449\n9148 12492\n7379 10828\n7040 13313\n9111 16348\n7027 11343\n7026 16074\n8403 13484\n3861 13631\n7282 12529\n4910 15330\n2564 14804\n2366 15697\n14504 17353\n873 12011\n213 8865\n4546 6705\n1000 8504\n2316 14236\n1366 16807\n13452 16352\n649 5195\n4479 10251\n865 13098\n12119 13159\n7970 8228\n8401 9362\n6823 11854\n5717 9483\n8213 12393\n9145 9885\n316 6087\n4152 10392\n3694 4479\n6358 6907\n175 4764\n1749 16475\n6686 15320\n1680 13422\n9819 13776\n144 765\n1047 11499\n5258 13857\n7053 10862\n3809 8600\n2484 4171\n7575 9155\n3083 9319\n4408 16796\n2118 6411\n6938 13660\n7504 9243\n2422 16238\n6730 16112\n7626 7754\n14664 16773\n297 12522\n12905 14276\n10943 12671\n11041 11347\n2592 15369\n3773 15129\n10306 11267\n415 6224\n3449 12911\n4735 11660\n12141 12215\n63 4421\n829 11794\n6078 11779\n11982 15854\n6853 9684\n41 10475\n1946 8681\n11140 11386\n1567 8323\n528 5349\n10864 13299\n8168 10597\n792 16913\n8223 12630\n1684 14865\n6623 11443\n2787 11306\n4138 5346\n5277 13988\n11717 15477\n4470 8964\n16346 16773\n12004 12218\n5246 9052\n4060 15781\n3492 16015\n2054 7319\n781 9778\n610 15312\n7085 13121\n7322 16092\n2657 7899\n5341 5614\n8837 13569\n4859 7650\n8977 17189\n9464 16440\n5370 9008\n10829 11002\n4131 16986\n6707 10907\n4803 10714\n6922 10068\n5803 6264\n1158 16185\n6166 15857\n4869 14004\n10184 15554\n761 7818\n4344 6804\n5933 13086\n7055 7550\n2193 11852\n14418 15307\n5689 16570\n12005 12967\n4341 5438\n6646 11309\n8000 16225\n12306 15923\n7436 12512\n4067 12677\n5607 5886\n1478 11654\n7478 7730\n4348 16922\n10253 10842\n4 14065\n670 12510\n5147 14990\n13859 14780\n15270 16709\n2682 14133\n14099 17029\n6972 7754\n1492 12612\n2123 2355\n9849 12277\n1341 8286\n3145 13853\n468 8753\n3329 17151\n33 13656\n944 7175\n3613 14893\n12038 14458\n6258 14685\n4117 13853\n7298 11368\n1658 8782\n738 15578\n4141 17359\n3044 7031\n4487 7648\n2832 11628\n2091 10744\n14671 16470\n14467 16483\n4491 6168\n8977 9279\n1318 12043\n88 6055\n2451 11868\n3561 8155\n8879 9798\n14397 17448\n8800 9719\n777 11123\n6730 7406\n137 5026\n1338 15737\n12887 16316\n1598 13738\n16412 16459\n6685 16826\n11451 15617\n13714 15381\n9728 17042\n3774 4696\n1331 14340\n10099 11597\n4557 11810\n4042 16894\n132 9396\n4388 11594\n1425 10997\n1072 9225\n1706 13263\n17110 17380\n3404 8569\n5036 10594\n13360 14837\n1322 1430\n2819 11086\n7839 10030\n4061 13371\n1041 7887\n5703 12793\n537 2564\n4426 10655\n8211 13535\n426 7491\n5752 14218\n932 13164\n2364 10133\n1400 15173\n7804 14038\n3703 8351\n8673 14462\n1256 5470\n4692 6077\n2502 13842\n3779 3959\n5333 10671\n5567 12216\n6226 9506\n11394 11987\n4074 11380\n6012 7581\n1276 3650\n6018 16858\n3981 14912\n2468 15070\n3956 11361\n359 9209\n8164 13514\n7228 9545\n1348 13259\n14840 14974\n1510 11276\n12905 15033\n6402 8828\n722 3261\n9099 9360\n7538 16688\n5320 7275\n16436 17059\n12770 17372\n12332 16290\n8293 16498\n11065 16967\n3303 5859\n6312 6954\n805 15103\n3537 8889\n14474 16465\n4046 4600\n4806 5362\n8862 14304\n2081 6896\n204 4268\n9883 12090\n10725 10952\n700 16317\n8477 11826\n7328 11214\n12601 12833\n7735 8666\n7412 9039\n4667 14496\n6175 8080\n4476 13263\n9717 14154\n4922 14914\n5911 14454\n1243 9318\n4945 7176\n8683 14776\n7042 11072\n8078 12228\n4032 7169\n8686 10774\n5777 7856\n1053 8131\n1771 5099\n1574 15123\n1673 13689\n2967 15602\n11434 12322\n4661 15220\n8519 15123\n380 7323\n2529 16693\n5061 10715\n3460 4371\n11343 16554\n14253 17247\n3639 8474\n9603 13192\n1743 7496\n15094 16849\n4751 6352\n1657 8841\n5395 15337\n2393 7925\n7035 12341\n7913 10588\n7589 8676\n12078 13503\n2851 10507\n1827 13425\n9592 11365\n1791 9709\n3357 15918\n9054 9407\n5927 6522\n4418 11257\n5625 7028\n8433 17293\n2183 14353\n138 5724\n10978 16521\n11183 12599\n1234 12093\n5836 16700\n9998 14346\n848 16877\n5923 10009\n1971 2708\n12495 14727\n16499 17157\n4808 9863\n5885 10595\n10240 12394\n2218 13916\n695 16216\n4817 11432\n10575 17445\n1654 15436\n11189 16328\n1637 5405\n6700 9075\n11 6343\n9334 16201\n8684 15720\n4894 6333\n4202 7670\n5442 8941\n4315 9419\n1549 7485\n8310 16313\n11804 13145\n6615 13526\n2142 11746\n3162 4028\n4778 9993\n2188 6174\n10280 11517\n4673 7244\n162 15250\n12106 16256\n2333 2879\n7049 11491\n10679 13250\n6235 11427\n538 9189\n3628 12336\n6572 8479\n3601 14721\n560 13297\n8195 10615\n11810 14399\n3066 7876\n2277 14622\n1445 10340\n5618 11163\n3443 5572\n9721 16627\n11884 14672\n9489 12303\n1021 14829\n5287 9723\n3561 7105\n1123 7937\n10538 15984\n561 3441\n12512 14630\n10181 13733\n8825 9656\n8666 10076\n5302 5651\n14836 16305\n4058 13519\n15880 17380\n4555 6666\n3835 16320\n8253 16490\n11268 16975\n5194 12095\n10381 11002\n10269 17095\n8739 12120\n3177 12314\n1291 9411\n3467 3635\n898 14637\n5077 6037\n13013 13830\n11431 13838\n3823 11563\n12860 14122\n587 8740\n5902 13840\n7934 15353\n8059 17459\n724 4929\n3160 6051\n2585 13468\n16977 17187\n2189 16522\n6047 6580\n4712 13929\n417 8424\n3223 13978\n749 7518\n14578 14892\n9073 12622\n4968 9348\n4112 8462\n1699 3259\n12660 14302\n2396 11771\n7325 16574\n10501 13899\n14994 16481\n2869 15314\n4394 15301\n4797 14335\n2105 8657\n6973 12389\n2463 9695\n7452 11930\n3485 15335\n123 5628\n7779 11300\n2172 3820\n9045 14821\n9305 10674\n4279 8706\n4074 11081\n3224 5251\n7322 12786\n11697 13009\n9698 15465\n11881 14210\n14420 14734\n14991 15929\n7105 9405\n5962 6325\n1332 7090\n5382 12508\n1748 16349\n8782 11363\n1635 15543\n6709 15062\n10461 14392\n6077 14779\n1810 3223\n5784 5820\n12634 15267\n4335 12660\n2930 16822\n2296 4866\n3923 11697\n5356 9550\n8466 14161\n14356 15754\n412 1996\n486 6816\n14220 14413\n9946 16849\n4645 4662\n3382 16301\n8805 13591\n7972 11395\n8602 16337\n1813 14564\n615 13363\n4748 16989\n8473 11368\n7834 12703\n1557 11817\n5677 11277\n3734 9972\n3389 16963\n6243 16157\n4424 16846\n732 6509\n7396 10034\n12059 16969\n15160 15290\n4620 5360\n5843 11483\n6555 15639\n480 8821\n4105 8784\n1631 16900\n2643 15707\n1423 3726\n1557 10251\n6931 13402\n2700 12098\n10577 15027\n3864 15477\n5963 6530\n8923 14477\n8882 16071\n8890 10586\n2320 11106\n6776 13154\n9570 12411\n11857 16831\n5253 6908\n6029 9472\n3127 7891\n1318 14186\n11955 14779\n10500 10667\n4080 14649\n1477 1692\n11236 17452\n1319 8495\n7206 8222\n6537 9793\n5404 7784\n4243 13847\n2064 11443\n855 14535\n11662 15542\n13407 15808\n5724 7328\n6521 15894\n2432 10875\n604 15524\n3884 17352\n726 14710\n10122 14036\n10162 11637\n2993 12672\n3732 11735\n16257 16586\n8849 16071\n194 16260\n6696 13589\n6729 14044\n11889 15043\n3518 3840\n4269 17237\n511 14139\n5643 17367\n14866 15065\n7278 11262\n315 10488\n7871 10354\n11730 13751\n6453 14901\n13938 15513\n14364 15017\n2693 7937\n10754 16411\n6721 13993\n3225 16877\n2332 7047\n9816 12101\n8471 9161\n4090 12865\n7979 12727\n733 11705\n6574 17342\n6441 15890\n8447 9778\n3845 7861\n4399 17133\n3400 12190\n762 13099\n2814 7059\n3866 11791\n8369 15172\n9471 15148\n951 1186\n7818 14413\n9791 9965\n6440 14596\n3449 14535\n207 1597\n590 9776\n5 8088\n4687 15874\n6654 15800\n8586 10284\n12665 16791\n14523 16695\n4172 7233\n3746 5007\n1590 11572\n1805 12156\n7315 17249\n509 3432\n381 10954\n603 16160\n6002 15316\n2376 6789\n517 7771\n8191 14711\n7777 13504\n14531 16030\n1347 10337\n7866 12208\n8145 13952\n14564 15850\n7320 12136\n9254 16298\n7619 8144\n1438 9514\n13555 16202\n2207 11937\n367 9698\n1585 14453\n46 10896\n3090 14967\n4484 16737\n",
        "output": "335\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 92,
        "task_id": 541,
        "test_case_id": 25,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 100000\n33854 53632\n11306 78941\n41825 88756\n5511 85242\n76893 79376\n20737 84637\n21611 32189\n12885 72258\n8262 75256\n3393 96798\n58946 64936\n40033 54093\n27583 67143\n3119 47043\n36172 50518\n52452 62952\n96552 99678\n18677 36360\n31762 72529\n15669 80973\n6656 59068\n65799 85145\n18383 68446\n56947 90726\n16354 44222\n66493 81181\n14855 51954\n15034 20649\n41832 80017\n70937 98181\n75935 90412\n21864 88642\n3550 33862\n31086 42209\n66351 92986\n13992 59498\n3587 7156\n69071 69681\n67083 74291\n61991 80725\n90767 97190\n14550 84630\n15600 92428\n44978 95898\n14940 75043\n85089 97412\n13160 70979\n17766 50631\n68199 73088\n24108 39184\n4112 79989\n19071 84831\n42239 74309\n25780 61442\n1966 57691\n8813 38009\n17845 67317\n529 90445\n12782 72865\n55246 83988\n12081 53168\n15109 30770\n46300 65716\n31997 73086\n47227 77026\n18257 47117\n39448 47624\n11218 28411\n7414 8655\n26653 67356\n63648 85996\n76533 80039\n47254 80014\n71431 94651\n47813 84240\n61819 95915\n52755 67862\n3880 88199\n34786 37204\n21366 49083\n62876 77966\n17745 73885\n5408 39342\n3489 79181\n22140 40984\n67687 97469\n13281 17764\n17570 91212\n1188 13856\n5068 17687\n8793 16982\n11184 87310\n5695 24705\n16670 98096\n15042 96455\n36177 61732\n72888 91880\n80063 98704\n43260 81728\n10347 67660\n21790 57600\n46081 99934\n66177 89522\n26476 81205\n52303 99272\n75145 77751\n47602 96894\n12945 85671\n24538 95136\n6892 53619\n39264 41778\n18873 23982\n33191 41330\n2098 26794\n697 84378\n9574 77576\n28451 58111\n36580 96313\n891 12059\n3042 38735\n15340 86215\n38659 93487\n32885 76844\n11233 96026\n39437 45815\n9523 74399\n25215 42755\n216 80935\n26710 96887\n64053 95961\n9530 21441\n57858 86625\n15214 45945\n44896 80933\n32869 46813\n34032 39920\n13082 78991\n52928 58979\n2036 91939\n21164 68251\n67641 81575\n46932 53815\n38189 76583\n14277 19555\n46116 73605\n7946 58683\n7382 26965\n66275 76367\n3481 13612\n13281 40675\n1199 62987\n28805 40361\n36144 77508\n51894 74779\n14885 51422\n24829 96407\n3176 45693\n20562 72461\n11705 14788\n46451 61895\n8116 41605\n1150 95358\n9129 70908\n16390 23269\n1205 53657\n46791 94022\n9680 98944\n42622 96066\n6158 18797\n8818 21821\n2665 98155\n33603 96394\n51961 88232\n74386 95211\n708 51548\n80762 99345\n34243 87621\n16290 37171\n66355 67888\n27364 84020\n31171 36931\n16466 77726\n12218 78941\n21119 53565\n61105 90809\n81786 86635\n39369 53919\n48154 71425\n68921 70576\n2716 48711\n48854 49859\n2888 89346\n4687 51783\n57187 67133\n52592 76151\n18117 87227\n16104 26104\n35504 78888\n27523 61194\n16509 29178\n50834 61223\n25402 54447\n2078 19502\n7119 20181\n68039 97417\n22444 24675\n58226 90330\n52909 88713\n28592 38004\n53270 60464\n60992 94635\n33774 66325\n18763 72368\n10058 63696\n63993 94701\n12176 78491\n2072 66878\n2769 86567\n66849 86487\n26872 94154\n21045 53386\n7341 40131\n27912 44833\n33610 88597\n1747 26703\n50878 67347\n82265 98598\n17310 67944\n84707 92604\n33061 79620\n42517 55619\n8511 44301\n53194 79829\n5977 88075\n987 67107\n61446 82344\n17716 89975\n17435 58967\n1948 42703\n22662 57669\n27959 80551\n56976 70370\n24104 90633\n20854 46472\n41453 97123\n37577 44076\n25683 39719\n15626 58124\n16194 58317\n33527 50818\n68678 83725\n31684 50901\n41136 56515\n35239 97581\n9768 65009\n60558 75596\n16439 50059\n17870 84201\n34578 85391\n3471 13786\n16322 47180\n6854 11533\n19776 35933\n3214 16548\n39096 84755\n37625 89320\n11256 94658\n63662 73609\n53015 55342\n1813 90976\n23620 38834\n23725 96537\n16276 82201\n12934 81958\n41242 91998\n29912 36385\n39260 81467\n19119 26206\n5972 35473\n33994 72682\n24193 73153\n90748 98020\n26175 65431\n54017 73534\n16640 23594\n83566 87943\n75596 99996\n67440 92826\n61645 92779\n33682 89178\n12179 40636\n11784 48755\n9125 77383\n19403 91141\n2667 87792\n15654 24982\n55128 92288\n21899 61710\n82606 86812\n2120 8823\n6966 31903\n52862 93554\n20606 57268\n23378 40141\n54473 70856\n39088 42287\n24231 77942\n47791 56783\n6181 53669\n12331 75526\n53211 94723\n15817 58930\n34586 48987\n12233 16913\n43382 66090\n13350 58859\n14177 50517\n82123 98129\n16970 66190\n38205 64840\n78447 82525\n45652 70374\n4530 82400\n23845 81560\n30315 30733\n37655 84378\n72984 91194\n54515 55464\n16249 22338\n5836 61845\n37007 43898\n39260 92502\n50616 90999\n41222 74273\n14827 36114\n15178 22551\n6188 54112\n7600 60631\n53971 98386\n46081 48837\n45290 99609\n78978 83262\n26057 68890\n59312 59889\n21593 90791\n10495 75751\n2156 57488\n1247 36862\n16727 31205\n39973 96413\n40454 69742\n55094 95521\n83070 90881\n18440 94617\n18859 27358\n9444 19817\n9237 83187\n19196 71975\n985 71135\n23821 98575\n57821 87850\n35856 50923\n12055 84037\n50889 95857\n464 48584\n48309 63656\n9152 92216\n55243 64742\n22763 81180\n19292 50787\n16661 67162\n1862 76768\n72035 99111\n28875 67267\n6479 8098\n73395 94587\n22636 63590\n29586 94718\n28873 49892\n64444 92888\n35640 56068\n5078 69126\n70273 76091\n7547 49953\n21043 76250\n16972 27789\n15115 90605\n12478 76433\n21049 93261\n58136 81645\n1139 15249\n8276 15686\n12672 66888\n6718 79578\n19227 30015\n15370 91613\n35795 65878\n6981 79858\n64689 76938\n15150 18574\n31569 77041\n31787 90656\n35441 58864\n43452 72089\n58777 99188\n24171 27628\n1737 3542\n49154 89830\n29148 60998\n43634 89138\n82675 87180\n33676 57274\n70839 87883\n20837 66833\n4824 67752\n43454 69021\n25553 26309\n19454 59694\n13172 24209\n41107 68417\n6831 72969\n9970 70537\n37121 48300\n81502 86884\n46059 64376\n26197 84129\n36589 61798\n30773 45755\n42280 81871\n54308 67942\n20350 93462\n21481 28785\n62087 73775\n1720 31484\n43890 98602\n11239 38971\n30482 77617\n52082 63267\n2024 36284\n45412 81829\n29310 99633\n64506 84224\n24152 80375\n18286 83005\n27241 51413\n31478 84388\n35101 46572\n41874 41938\n41158 80810\n88303 95210\n29335 95952\n52162 63748\n24216 24353\n19298 25829\n28821 65239\n42416 89258\n32244 84719\n10835 14737\n46208 87652\n8598 49533\n33576 47557\n35130 42876\n12168 20882\n8127 84892\n65996 67360\n37298 59703\n24229 43921\n33065 96268\n48891 65620\n47411 70456\n44648 54220\n8339 68725\n41560 99408\n50161 61500\n25125 89707\n10977 45692\n15436 33583\n3073 40253\n61180 89517\n24910 67476\n5342 10703\n36897 56158\n52967 68696\n13590 86542\n23351 54656\n37423 99259\n24722 55602\n4430 96397\n36649 43723\n52867 89182\n34201 76752\n15187 54174\n15640 15930\n47036 79286\n4442 27716\n1980 47875\n53090 97256\n53786 75767\n13849 96242\n84847 94075\n20451 79180\n29461 50557\n44831 44862\n10891 88132\n5671 14597\n20702 76776\n74023 84436\n24906 39038\n30080 94376\n11000 11647\n71568 86348\n6685 68220\n81080 99540\n53062 53588\n23111 70802\n6861 28509\n62029 66246\n944 35343\n15440 89768\n7295 30081\n2728 81178\n9759 20096\n26754 82465\n30119 57786\n4651 28428\n62375 97316\n87612 97810\n7811 18892\n40294 94633\n42790 64098\n82212 91811\n39858 93582\n21849 68174\n12396 33772\n9575 39244\n66758 82023\n74091 93232\n44518 72050\n4317 77372\n31168 65106\n17115 51380\n25386 29095\n4931 49110\n84760 99905\n28681 86594\n44519 90082\n10616 90347\n35870 48113\n14047 95590\n58185 74949\n15816 45009\n20948 29355\n32505 53166\n51426 70578\n11201 93777\n8242 84330\n68374 82965\n27044 74109\n41687 46680\n80113 87940\n9898 73643\n7374 92948\n16555 38253\n38919 89569\n44832 93354\n17416 19962\n29508 69086\n45860 96029\n39020 45068\n58723 72690\n38007 53953\n16597 45975\n25201 27053\n38131 62425\n3730 11428\n3110 46675\n3403 41374\n8821 34106\n3275 7123\n5301 71134\n76244 87388\n1304 86665\n28281 88623\n4730 99955\n40681 63728\n53761 61618\n20624 90373\n48000 62656\n48527 99719\n67158 83413\n20472 66338\n15448 49499\n33168 57992\n22107 30091\n24177 37724\n8433 82657\n34656 71325\n50737 79703\n65605 86406\n45555 98054\n38839 87657\n15080 28115\n89586 92090\n16308 99736\n9842 56938\n36625 92373\n14101 88681\n46263 96707\n22132 91419\n48119 66256\n57751 63999\n46130 94045\n5377 5689\n50687 61849\n46058 51391\n51335 61047\n13172 95523\n38864 84756\n56397 69649\n50133 58210\n23548 34519\n24781 80286\n77721 84198\n18333 99847\n42440 76236\n17990 48910\n67051 82138\n22163 68787\n19891 89385\n43000 60897\n52268 85869\n41931 78266\n35439 88569\n46306 56378\n14569 96713\n18446 61094\n37049 82524\n32974 54731\n12679 46938\n33383 38600\n37519 42933\n31932 96002\n84195 89849\n20889 46484\n67525 74998\n39183 80586\n39517 93451\n33544 42769\n10887 49900\n6917 52183\n32814 59178\n19573 24316\n60188 91007\n73805 83367\n19851 79598\n56846 75556\n94607 94841\n60585 94946\n67600 87377\n21382 27874\n67995 82569\n37747 93262\n74797 79662\n33396 65626\n60329 67301\n362 80762\n38757 95225\n55366 83055\n11075 72606\n10506 51296\n13626 68149\n24421 87369\n44036 73232\n4279 52598\n520 73505\n77762 98108\n11702 62663\n34042 84085\n83873 92232\n1300 98169\n72406 90929\n4119 13688\n35735 42969\n15027 71705\n7492 81614\n63105 77012\n21587 86120\n45795 67247\n3730 22692\n9630 83303\n54922 95696\n51600 68329\n23528 87868\n26390 75968\n29351 69041\n68467 89079\n56109 87358\n402 19376\n47576 54680\n33514 45306\n20106 66608\n5553 99245\n8428 52496\n49029 71966\n24032 26465\n14408 22561\n23400 53948\n16964 37873\n51618 80253\n78942 81011\n55716 96972\n13813 82710\n36278 79377\n50794 53569\n65530 77017\n30012 60850\n48234 86200\n65334 98628\n15979 63136\n74212 87499\n7325 97751\n57026 94525\n25222 83618\n27194 39829\n17298 55220\n87055 95128\n31011 34090\n16814 50673\n14625 69888\n8231 96815\n20277 89418\n17210 33914\n7641 98164\n85861 94650\n25343 61414\n49513 95850\n26451 91879\n16447 67043\n27936 61276\n50580 63255\n13855 21916\n68347 77574\n77978 90144\n17371 35846\n320 41490\n33140 52509\n52847 88945\n65119 81201\n13017 19062\n13089 48864\n34987 95603\n42910 55470\n48847 59498\n73995 87957\n23697 91018\n17507 54892\n13014 94297\n26204 62751\n33819 46609\n25954 61598\n19133 75033\n41520 93573\n2859 45414\n37699 56306\n2394 12152\n30859 55304\n4642 81723\n13549 15644\n76201 77325\n7924 40204\n51794 90402\n79553 98238\n28474 39282\n70693 93278\n36639 78774\n34946 54571\n65724 96705\n40629 72539\n2247 63478\n45974 80504\n3355 67164\n26429 31474\n30653 32726\n48079 75571\n8161 64831\n15943 96264\n32067 34038\n2636 27083\n76798 90973\n37103 52039\n1191 95445\n90661 94926\n17628 43859\n24158 47314\n74579 77832\n53595 58509\n31291 71362\n6512 7424\n49078 82723\n10014 87838\n72796 97602\n7278 65631\n14073 91236\n14944 68725\n35316 73118\n41884 94232\n34208 62157\n13790 77719\n34765 88155\n50471 94104\n49490 82517\n5717 32443\n14058 39216\n8051 69411\n35428 81159\n1756 12921\n15803 21689\n19443 85086\n54132 55903\n40032 69350\n15829 51770\n75556 93270\n79802 97303\n10031 71137\n48564 87109\n18900 85041\n35073 61889\n45305 82873\n43985 68568\n52138 79531\n11964 67258\n381 9553\n1725 25006\n44951 77053\n40291 51714\n54381 88497\n4223 44958\n11144 98077\n81007 99501\n51155 98953\n63658 87414\n10868 31829\n16843 28660\n1350 62701\n2534 90608\n41373 67175\n24904 99258\n36069 82782\n14327 23750\n17892 50484\n33901 95967\n51975 81383\n46757 96997\n90869 92734\n50509 96162\n37567 60408\n1877 98669\n55077 90810\n19342 69776\n17759 85333\n28453 54518\n23312 29012\n43888 62267\n57042 76998\n53361 67643\n64441 85211\n43590 64042\n15802 45708\n14549 14860\n76179 93745\n15057 52259\n4930 77299\n43772 64216\n8848 77053\n2989 29087\n55821 97197\n77895 85255\n39151 71213\n10071 11368\n41137 96347\n4201 46537\n3722 81899\n23390 91960\n45378 46869\n4005 14155\n5051 83421\n31944 56557\n48743 92074\n84066 90376\n25519 62218\n50936 63824\n41834 92735\n23796 63606\n8119 81364\n47124 75268\n42790 64079\n2670 93107\n76098 90945\n38338 90105\n19882 46378\n47907 73751\n69837 84770\n27442 80634\n60687 92135\n7235 67078\n9388 79258\n12089 94382\n71827 75354\n38301 89749\n72685 73112\n21573 98265\n44252 90123\n36744 70719\n6726 50640\n21206 42671\n14977 81507\n8992 37744\n242 50693\n47257 63071\n18047 84513\n9605 75666\n34171 79164\n18643 99037\n19847 51347\n64092 84242\n23039 28229\n57626 80288\n36190 67193\n98017 98279\n67158 83367\n39079 93340\n49521 94777\n43229 52558\n82053 92496\n38822 56171\n22581 25070\n43959 69732\n24305 78374\n51573 98506\n80089 85082\n8615 47974\n85306 92956\n31662 57642\n1575 70884\n10155 72181\n86561 88170\n87847 94263\n44408 67806\n16261 98646\n10793 73029\n14500 40541\n19076 94522\n35571 74405\n32975 78292\n49664 73559\n4575 27081\n35377 47221\n27261 63912\n55750 77838\n12641 25273\n2945 52518\n37589 45002\n8691 75965\n978 17683\n53082 71761\n22744 41896\n32182 38516\n14577 30236\n24529 46337\n84293 99285\n1453 45665\n14207 15121\n13996 73987\n19022 68483\n47700 93379\n54267 68290\n68162 68748\n5605 32938\n14415 49957\n27091 43596\n3302 45448\n16969 54205\n34356 55882\n24360 25097\n4738 86025\n8287 74453\n95090 95410\n6427 97745\n15258 56316\n48169 65914\n28110 50447\n23743 34401\n39591 47179\n43224 57997\n34342 68243\n12022 18337\n17982 55231\n40300 96403\n20933 67045\n6802 31985\n3392 51577\n15827 39053\n23946 44259\n92909 94660\n30278 54511\n35664 44087\n5688 71951\n40862 57398\n38923 46851\n11522 11856\n11993 78988\n1920 74038\n67526 94885\n38832 51177\n58910 60921\n595 71291\n1965 52102\n17964 97993\n68610 88874\n73643 82989\n37643 55567\n2855 98339\n11980 73038\n71903 85273\n7244 78456\n42879 87290\n31111 91037\n20509 52185\n42260 88416\n20450 87620\n13043 29335\n56019 67475\n64151 97713\n17295 89123\n42930 44341\n20731 26740\n1804 71661\n37216 80592\n33240 33277\n28591 37841\n7064 21728\n27348 97964\n2362 9468\n41857 50708\n72321 84436\n54074 72878\n42348 75237\n25663 58187\n28238 82749\n84736 91320\n14326 17778\n34424 53459\n95243 97383\n2289 68881\n35099 40211\n65367 75048\n29781 65526\n26711 31361\n28696 53736\n38476 48427\n42486 95508\n46301 98484\n50025 71195\n6641 73931\n11419 19410\n54439 92677\n9975 70444\n19792 31622\n75391 83913\n3085 59675\n40893 63517\n32522 34621\n54685 88743\n36510 96826\n16293 36532\n45131 99539\n48432 75311\n24881 56165\n26634 32079\n37829 44293\n53000 54267\n41049 88399\n60352 62044\n760 11984\n54529 93741\n81919 98539\n21316 90980\n52019 96643\n4115 74886\n49283 66985\n33308 56821\n19866 53191\n23807 91831\n23502 50103\n4860 64275\n20943 79899\n1165 19771\n68235 73221\n66340 82405\n40213 45424\n39481 82616\n44064 44614\n31394 81407\n23789 30222\n44052 47856\n15019 97845\n2746 91399\n74718 78605\n5977 87783\n8839 48443\n53071 97440\n6739 89139\n19713 56928\n86912 92868\n715 31478\n4240 99474\n55050 97314\n41763 45240\n33210 48007\n50425 99908\n67841 74736\n11560 84817\n61912 64550\n16253 87373\n12177 36418\n76736 96423\n79876 83091\n81414 93566\n15036 51212\n18802 21217\n24306 77484\n33757 74793\n38650 41625\n53756 76922\n38313 55504\n26190 62324\n5424 87475\n45012 96978\n45777 76865\n10122 23143\n25367 28650\n39299 80024\n19361 78779\n53211 93986\n6072 28022\n50214 58341\n44021 74454\n12636 48284\n31922 34637\n47249 86714\n18610 73969\n33151 57264\n65270 87859\n184 9556\n22774 53564\n64193 71014\n6408 72872\n39066 79094\n50552 69395\n52934 78160\n10601 62247\n57553 59555\n12787 53693\n34055 40248\n55048 58510\n18249 84212\n242 63611\n3179 36178\n29498 81362\n5421 73479\n40305 63936\n80697 93563\n73604 74914\n4552 20710\n13331 26237\n32534 79435\n74448 98227\n59055 59403\n23206 32758\n11894 48668\n14923 86075\n13874 29493\n3680 50677\n52101 95084\n63961 67220\n39049 59760\n7529 75855\n70676 77949\n5088 24294\n36875 71541\n29192 62035\n63042 63051\n57863 75982\n67056 77173\n35324 58951\n20605 28350\n67969 79945\n66858 83877\n73728 84992\n1973 21093\n7860 94041\n11568 55061\n33928 71146\n27870 84522\n34526 60088\n45205 77869\n12296 12692\n26364 55985\n9654 48649\n82423 97276\n49136 61756\n46608 71006\n13349 98755\n8647 96097\n5074 86415\n26562 43198\n11145 27213\n44034 71494\n41218 89251\n292 40631\n11322 69944\n22052 31826\n20197 32801\n2135 39272\n30974 79917\n44936 49535\n43071 98808\n35847 60765\n18337 28154\n65574 77117\n37285 44967\n72099 84327\n13236 38747\n21720 27723\n23292 89342\n28698 92160\n80872 91153\n48691 96027\n22990 73182\n53796 82143\n33485 55541\n52636 75976\n23944 67333\n4802 58834\n32611 77352\n830 75889\n31005 69017\n45774 55324\n22682 38279\n13769 14941\n52207 70120\n32620 45800\n44475 72922\n5439 86430\n71053 77890\n67738 91052\n49791 86077\n12553 99008\n55372 98238\n6285 26356\n6925 46354\n68257 79421\n24368 65795\n9859 46336\n50279 77985\n57216 81676\n19262 75827\n17020 87950\n32619 97329\n45767 63992\n15621 21698\n21225 76304\n3763 85425\n69093 74787\n64573 84735\n30094 85836\n33356 90551\n39359 64312\n19135 66893\n36435 47925\n3662 61708\n22759 58501\n50770 62052\n29790 96226\n38303 53668\n33051 93578\n25057 71644\n19826 95306\n31047 57237\n27065 36905\n44267 80254\n14160 77942\n8219 94992\n40442 91060\n29666 40718\n522 37492\n88385 89044\n64093 75946\n30492 69728\n16642 25973\n66313 83373\n68702 75037\n36898 48746\n3792 34096\n25814 31723\n2019 41099\n27620 84838\n25305 61784\n26983 87065\n51838 75245\n11153 65335\n34103 48771\n23993 43018\n28119 29206\n50334 52629\n6169 55005\n1818 18441\n58930 77421\n71894 88327\n44977 95473\n13779 69239\n13246 70410\n27546 84101\n63435 68530\n12277 95453\n7927 23512\n18612 66351\n91017 99209\n1028 83070\n2652 36800\n4327 7588\n67040 72351\n6889 73791\n56982 82223\n28037 89511\n43303 88528\n13073 37265\n24847 59674\n65605 74151\n4268 36844\n60773 94707\n23424 92051\n33912 39139\n42758 73444\n2387 43400\n7881 42902\n37600 86859\n2805 6713\n29363 44835\n22546 94694\n10636 69494\n6230 86085\n25054 92569\n31977 88056\n1586 13078\n16399 28866\n51913 83662\n43755 81421\n20940 74004\n18788 21021\n11722 17777\n11629 34652\n64538 93715\n65836 71948\n4056 21579\n30823 42029\n82757 88201\n5208 81416\n38106 41906\n5412 48153\n33295 51136\n9609 26990\n22160 43887\n16878 68750\n65358 74990\n57244 64762\n26430 62123\n24087 67327\n37375 49413\n511 90191\n88538 92915\n19513 70069\n36647 40027\n18873 55021\n22856 25979\n6426 6491\n50676 95206\n32855 90855\n18494 31090\n6166 51594\n31737 57364\n66284 69966\n47543 70500\n10883 46549\n8404 10251\n54392 82519\n41798 80179\n44181 92117\n31079 91972\n7161 8334\n38133 71751\n63996 64204\n20856 85635\n85088 95150\n44666 87641\n35156 52808\n57139 78816\n23600 98274\n48080 83883\n45621 89270\n27808 66573\n72716 75221\n73699 95375\n46498 70809\n52929 60136\n12404 22758\n34436 41786\n20319 35930\n33145 70661\n63401 82581\n23290 91346\n27454 46331\n55965 77175\n37486 41239\n30540 41112\n11798 45534\n2660 92702\n67230 84031\n75123 78766\n43339 81299\n73304 86296\n64251 79794\n53757 95260\n55803 91870\n76215 85816\n39856 77966\n2554 15256\n28485 73633\n16554 93953\n93168 95269\n36222 83115\n15345 95544\n90731 91480\n24107 92009\n29555 71939\n1611 13736\n89883 95386\n43963 84726\n55477 76891\n24276 39548\n48311 96127\n37995 83639\n84645 98514\n17423 83616\n70937 90921\n47497 71034\n60860 84002\n17553 98130\n29733 60533\n89914 97748\n16533 37317\n6070 86103\n41342 46033\n62663 81486\n27988 86829\n69024 81086\n5606 55254\n43558 68510\n53469 73280\n57101 73889\n68520 90662\n21381 75350\n23453 44523\n903 98827\n74317 76704\n52804 53096\n835 1534\n6338 33997\n91487 98319\n20279 55351\n67354 77622\n55773 58176\n45274 81042\n39235 97931\n26093 47254\n42227 56233\n38986 76559\n75807 84395\n3309 28330\n47041 47200\n30741 63171\n11160 41375\n79116 97294\n48554 72136\n5757 39385\n51334 88572\n37576 82576\n60823 87291\n88972 95179\n19114 94108\n62063 62393\n79884 81486\n28502 29949\n64784 97601\n889 78799\n26523 29887\n39561 47092\n20671 21564\n23225 39111\n19392 26718\n8768 34256\n9396 27093\n57162 61299\n40421 76597\n19115 33206\n5483 9485\n800 24878\n15719 90531\n11264 90420\n16398 23441\n38466 86431\n21051 26277\n67315 86420\n20495 50036\n1497 57008\n25072 48465\n82974 94536\n40891 43187\n2739 72495\n54802 89088\n39641 68106\n10026 25145\n24325 90444\n21149 66254\n19551 88190\n8047 12601\n11925 98348\n40744 42962\n24413 47107\n36033 91084\n80691 86612\n18480 66613\n17649 44177\n78911 95975\n82239 88008\n4475 84301\n4127 55861\n10479 96211\n19494 23793\n6824 75277\n4077 94620\n13274 50602\n7193 60096\n24470 55250\n70672 76301\n46932 54001\n65623 67324\n51848 85901\n49143 59702\n38342 93372\n5907 43199\n49731 68770\n2847 91368\n256 86973\n14 12763\n82284 95007\n50808 68660\n49330 72722\n8209 94509\n17060 98126\n38404 88000\n3513 28328\n23762 52706\n66122 87320\n9062 91197\n75405 76336\n32771 98114\n10486 29347\n50389 72388\n69639 70420\n23448 83112\n10313 42051\n13271 42500\n68166 94640\n12169 29720\n69898 93863\n833 8424\n46032 60274\n7881 65201\n14759 37924\n57930 64161\n4373 47545\n23349 74385\n17366 32227\n45076 74249\n7057 96389\n24552 61556\n8194 82824\n17640 59934\n33641 43736\n60026 85279\n10205 82941\n69525 90873\n752 66973\n3303 99355\n46714 85326\n1385 97661\n51971 90939\n26515 61109\n78389 98804\n18909 35119\n72361 92836\n12707 77197\n14058 15498\n32232 38319\n55930 76141\n29182 44855\n33349 33445\n7632 81608\n19291 47763\n3350 27151\n9149 23095\n9614 53561\n44498 87865\n12236 59157\n65737 96364\n15908 73623\n58835 78252\n26669 98666\n45675 88515\n31719 42835\n9142 13152\n48918 71402\n29315 34401\n32462 59200\n49902 86593\n20532 91179\n21833 59975\n13338 32074\n5177 12064\n43522 57578\n75149 91130\n26855 70073\n9587 37142\n7348 42186\n21310 65290\n26554 96668\n67339 90808\n31397 65395\n25975 55499\n48560 60081\n4230 75472\n67314 68237\n20580 67749\n13807 81902\n13765 26066\n9848 12348\n72910 91143\n48 37803\n9441 74844\n46215 78917\n33470 64691\n64235 92785\n15475 16211\n8825 48816\n10234 19997\n23878 52333\n30821 52223\n32073 98852\n30106 57767\n32591 48513\n3944 57613\n19906 95405\n5116 40015\n45232 45546\n66743 94647\n13353 64007\n23782 50217\n70892 96628\n50687 56123\n66645 92728\n78016 78696\n61471 66725\n13597 89252\n43159 43547\n4307 26544\n25779 68472\n67136 81798\n47394 77226\n68725 77084\n28122 64415\n77291 92532\n22568 41820\n55444 56101\n67123 90973\n3912 16590\n84303 93192\n65763 87561\n24914 76024\n6190 74530\n45262 70597\n48134 83141\n3862 88350\n14974 59934\n30207 83357\n19445 78933\n54562 63352\n7778 81421\n64225 82344\n80763 84481\n6198 92984\n21360 59547\n55205 87875\n54012 72872\n5966 45030\n2690 53236\n42404 62651\n61609 87055\n54790 66622\n6048 21678\n1512 98974\n22327 67938\n61080 88135\n53960 69258\n36477 55330\n7119 39702\n26734 83645\n31627 53074\n37371 41735\n18106 45533\n60382 90270\n65390 89975\n77399 85425\n26109 86937\n5538 41668\n37711 88233\n81266 94900\n58861 72310\n35543 72606\n68355 94936\n26775 76634\n48767 96054\n3989 42760\n73248 82056\n18730 58879\n55131 74449\n37868 39367\n16075 23579\n4118 53132\n28771 85611\n57495 89353\n65855 85920\n61727 62840\n34042 67429\n16811 79438\n3046 17119\n25850 65147\n42869 63343\n4636 23607\n16911 46750\n6337 88380\n27123 39060\n54552 65087\n47215 89413\n56408 84786\n47085 95299\n14266 92001\n33018 40877\n28824 83918\n66805 81878\n462 10356\n11434 59808\n13429 35538\n9865 74535\n29774 67485\n30637 51933\n18996 65507\n7415 85641\n26649 62162\n31177 75392\n924 31229\n37601 66555\n54542 92430\n46235 82307\n7104 15503\n15121 37386\n11905 95222\n23199 59239\n82048 90903\n61037 69831\n40918 47601\n42331 85052\n48378 62041\n9987 55940\n41353 49811\n51382 71497\n19534 95345\n74192 97678\n49652 80776\n27388 82778\n14175 43126\n16244 59028\n27546 88458\n7564 60551\n11014 68183\n23507 61262\n13134 98918\n36298 89243\n8193 84352\n6782 35522\n36109 98635\n44485 75665\n26548 57676\n12976 79504\n35041 66169\n4531 35669\n70039 96954\n51049 72426\n20174 35961\n8737 76822\n80250 84435\n36766 40663\n46758 81040\n11058 33038\n33214 77986\n17789 51105\n41970 66221\n7205 11921\n70964 82827\n64684 89777\n3759 61411\n5548 16506\n58943 97874\n10897 22757\n32161 87349\n5579 14489\n5830 72926\n13814 42646\n84108 93062\n54524 64456\n14478 28839\n31123 79196\n20771 72538\n28026 67910\n29785 39487\n5720 54015\n49918 65941\n30281 45797\n34048 99476\n57116 71816\n38530 77022\n38112 66195\n47961 92907\n4128 41868\n26632 38284\n51236 91639\n51108 90739\n55982 94360\n17161 21583\n9204 23420\n26394 55443\n65411 87204\n15495 23876\n39157 68438\n38853 97389\n46652 56822\n23528 68797\n56487 78106\n34362 88379\n26995 98965\n13839 15493\n49832 94076\n46196 47557\n62920 74117\n2712 14127\n3736 72157\n38524 90794\n34315 66770\n1510 83903\n46160 58001\n25355 49337\n14908 39438\n52081 99106\n30955 93761\n36660 40283\n17056 88382\n37116 55210\n17913 48304\n17672 44966\n22581 84246\n23352 64980\n20926 36101\n43628 86033\n21728 53426\n25177 28002\n9927 15890\n22173 45591\n8577 41100\n77810 79992\n17565 81681\n7577 16462\n18079 86066\n33413 97926\n16642 35850\n2707 60058\n18173 56947\n66523 99026\n13627 79577\n18150 48514\n752 70216\n50725 72460\n101 71801\n56115 71322\n63085 97124\n51048 65699\n19025 75029\n46547 88988\n20064 52776\n61221 64434\n61732 91398\n69039 96653\n2811 51727\n11378 37283\n7663 16071\n19608 58867\n73864 86647\n23193 95725\n19110 39669\n19162 63626\n40498 87500\n16135 30645\n31528 55206\n3584 49879\n76608 85071\n15587 80518\n19868 21788\n79414 85291\n81518 82360\n27578 94266\n38679 45503\n37153 79936\n40131 75737\n58026 65187\n8343 72698\n74340 80924\n66282 90468\n13743 90972\n51323 53595\n52148 75344\n78213 87661\n37504 99026\n55897 78749\n308 84714\n615 72128\n35479 59003\n7915 42765\n42608 87507\n22405 34515\n18510 84535\n41597 66820\n36315 97445\n6729 59392\n78147 84938\n31969 75049\n7007 90413\n69055 88995\n8497 10593\n91119 98983\n9601 23921\n84353 85406\n15303 43446\n27117 59603\n76536 96963\n39693 46518\n78939 86535\n14287 37349\n52704 64152\n80879 95732\n11282 43131\n27412 65317\n80235 89192\n4544 70161\n33583 71704\n28024 91917\n28148 98189\n7015 51883\n56798 96060\n41941 64288\n13175 83035\n11307 33756\n59390 96014\n86628 88455\n10535 25353\n11966 55244\n10246 87556\n63192 67252\n19259 44164\n24405 30151\n11411 13582\n39221 70323\n20641 69858\n40382 80975\n39697 72806\n77778 84610\n7896 75054\n7271 63558\n37133 49686\n20761 82680\n23455 99590\n5840 62924\n76654 84494\n32022 63943\n42878 69335\n45677 83911\n938 74817\n85889 99467\n314 72317\n18162 98289\n10753 35497\n28761 98897\n31232 41053\n184 20975\n49886 74777\n81079 94998\n49279 65395\n41256 79453\n13155 81111\n7722 32208\n37406 92656\n9142 18009\n78375 84776\n30080 91522\n19035 90098\n29085 74885\n51984 63352\n26930 50596\n44853 72581\n23371 86559\n40509 59903\n6878 11879\n54811 83233\n16462 98974\n14272 49577\n21253 39356\n25051 79089\n35550 71528\n10129 62671\n10488 84855\n76066 86998\n52908 98620\n31384 80325\n38390 47031\n79915 89722\n20183 39581\n42286 48093\n34706 40164\n10035 16898\n86045 95488\n27417 67614\n23436 87518\n16612 44560\n3590 22419\n56593 57116\n12372 36690\n7390 94488\n54203 56501\n52241 67765\n5273 89123\n21641 68023\n26524 82368\n26180 36265\n46467 64141\n71058 86013\n85238 85648\n81665 84691\n51043 73626\n65864 94024\n76542 77549\n21882 44567\n41281 54857\n89495 91762\n87407 93452\n24332 46462\n2724 79227\n17279 46885\n26439 66661\n50850 75790\n80508 97311\n3744 43032\n18215 36343\n42400 86955\n35 56996\n50675 76733\n4253 19159\n38702 39572\n16134 71096\n5621 19862\n26265 64555\n35899 49447\n12477 19471\n45688 91078\n63731 65069\n53062 62889\n12911 39348\n70765 85503\n40341 92216\n39482 62002\n3877 47209\n1915 14856\n26979 35239\n10333 67250\n27152 48990\n48311 65236\n18442 50816\n16400 77460\n27342 64500\n51596 58129\n49062 53796\n24878 72332\n52223 60874\n60153 84928\n57533 97627\n18871 87076\n42836 56164\n5736 86998\n30632 52891\n48105 66800\n14384 63997\n82204 91127\n17029 23866\n12814 32597\n92599 95417\n4656 49002\n340 49886\n47364 47927\n4964 70145\n3238 60285\n26372 28082\n74757 80234\n35108 49332\n41590 45855\n72024 89929\n19361 79138\n20500 54244\n47159 96933\n4627 51126\n35325 58367\n3989 89369\n35634 85298\n16724 96785\n27534 29215\n18165 39752\n11646 49783\n24388 87175\n23045 39699\n83768 93299\n45629 65600\n47936 96942\n182 97295\n5067 25834\n40588 71632\n13164 79078\n7430 73434\n57854 57887\n2741 53904\n19064 85373\n7927 27453\n5618 82929\n22280 96978\n49821 82728\n46190 87315\n22630 62830\n69639 83123\n12549 75244\n22612 83245\n54748 70667\n2889 87854\n61967 81362\n20164 34752\n33400 65963\n24143 66844\n76565 95170\n6202 51844\n56497 64849\n5698 21813\n90684 95146\n83408 89643\n20773 70931\n2194 54572\n69317 77769\n62918 64598\n18169 93692\n29679 81952\n32733 79646\n7963 31029\n1460 52621\n19977 41072\n45555 59873\n41832 53953\n1643 23126\n50207 94736\n24129 76006\n50455 66533\n28525 32998\n29833 65270\n86446 94231\n68696 81036\n6699 21617\n21703 71378\n56120 78826\n52717 94668\n75009 85318\n45841 56173\n57290 96638\n7537 15542\n19920 48828\n1362 60941\n48842 55114\n26849 81378\n24753 72387\n56465 80843\n81002 90751\n51971 83189\n69488 74120\n56969 65823\n1316 3369\n24753 67158\n18868 74303\n19858 23496\n8579 33399\n14024 79930\n41161 80541\n78215 80069\n18486 31235\n13122 83345\n13088 17692\n19011 23055\n3237 67169\n31585 91706\n24316 26346\n48637 84497\n42151 46034\n47962 78106\n21338 60506\n11303 54541\n32495 83955\n28614 54147\n25780 61670\n59664 84051\n28824 59116\n46158 75405\n30865 86478\n11481 17090\n42242 96146\n15645 20071\n3002 78120\n16225 88563\n20108 32379\n48546 88157\n49337 72459\n3335 53421\n16578 36861\n40950 43692\n19306 31243\n51124 64550\n82997 92934\n59293 74588\n39087 67472\n24419 44456\n50345 95045\n15125 75594\n65575 93357\n93542 97689\n10410 11228\n41084 55250\n62523 69835\n12504 87069\n56976 98447\n54667 71916\n24154 83000\n28351 89159\n25587 27916\n21721 68571\n23010 36214\n1145 95171\n55399 85522\n50735 92880\n80090 97128\n86223 94767\n5479 60956\n64496 66095\n23455 48422\n32358 40839\n26855 61024\n35940 64573\n21612 95262\n15349 15646\n18233 78793\n17985 79463\n45941 87530\n10814 97026\n13620 24892\n9770 71532\n21874 83980\n16519 43655\n69549 84115\n7055 30906\n63251 95969\n28359 89866\n6210 87289\n36772 85014\n55761 87813\n64782 98025\n3760 33079\n22736 23956\n86742 96723\n25858 65721\n3610 86034\n12855 92450\n857 45116\n56112 94831\n7959 43882\n63272 76638\n51159 62668\n53837 83149\n29402 45806\n24346 57534\n20742 50339\n26968 41359\n1656 50665\n35080 51140\n22710 42975\n71134 96700\n62874 82815\n44068 46688\n9959 33284\n22194 91501\n73254 85769\n55530 74237\n48233 53305\n1410 9042\n44168 89010\n62734 87146\n52225 83104\n5847 27398\n67831 86879\n38503 89358\n35193 84189\n8102 70774\n53668 73924\n26445 37885\n22558 94526\n54854 66361\n1114 77188\n22942 53520\n40137 73590\n11767 60369\n43799 68620\n11846 56384\n6050 55647\n61341 95928\n14485 94677\n46872 93992\n32211 75033\n1643 52597\n32109 87062\n68268 92762\n8182 90994\n23226 40119\n15850 76199\n17279 80943\n20800 32239\n3649 30746\n7479 58019\n76131 92122\n44562 64549\n40349 87192\n34626 37402\n39368 98670\n5234 86478\n9085 37132\n13353 38988\n11815 55693\n32084 55930\n52250 93884\n5016 26358\n6950 38602\n10265 71670\n33454 40901\n28395 30924\n46108 75325\n42833 62959\n68292 96615\n15228 68724\n36649 77785\n61514 85885\n33606 67718\n67736 72239\n26925 65618\n35340 38071\n26943 61937\n88070 89355\n2651 54995\n25738 62582\n6707 11159\n31702 59206\n15674 61633\n9645 31411\n33493 52650\n54627 64882\n3151 83445\n52948 62350\n7509 36822\n17229 73653\n62311 81981\n46403 89222\n27629 30611\n16124 34694\n64814 87724\n61431 68629\n21198 94169\n1623 46662\n69464 87773\n16037 26671\n32668 94912\n25877 36592\n54445 82831\n45280 61612\n14908 93696\n43555 89552\n36393 49105\n37385 95495\n44455 98962\n12529 54342\n7423 97246\n41401 78608\n54363 72684\n28310 57795\n19314 58440\n16233 91978\n50686 92466\n57695 89462\n4227 24765\n36318 57778\n10175 78426\n52451 90805\n753 50159\n22639 37770\n31880 94478\n43100 48629\n24618 27886\n78148 79732\n88354 99127\n19457 29865\n50856 81759\n23229 57768\n37933 81700\n64765 70664\n27410 58299\n2570 65428\n35730 63014\n46873 73663\n7682 18951\n24831 69801\n2520 94885\n4862 35298\n9745 39686\n62092 73946\n71662 81908\n16622 56895\n82461 82910\n16854 63704\n54343 58252\n25920 84265\n3297 91705\n5992 45799\n33349 37107\n44560 72354\n72552 87426\n3046 79628\n22123 31591\n29830 63750\n17876 38922\n4679 24961\n29350 98349\n24827 98789\n78660 97862\n27901 73737\n80682 87594\n25005 62321\n35012 77094\n26746 67048\n20528 68822\n29024 90684\n1631 68154\n26378 97201\n10813 56570\n44959 48504\n76796 94291\n27961 67016\n89228 89448\n13612 92569\n11719 81049\n10520 67182\n47365 52116\n62241 97855\n4253 62238\n68939 87343\n28889 44845\n35500 71775\n949 28584\n7889 81558\n5289 5530\n58439 98696\n66679 95704\n2543 74296\n61368 98838\n6162 81371\n34112 70174\n53458 68708\n8262 75270\n74379 81515\n2093 82018\n36017 75526\n37784 92500\n192 51359\n39298 65450\n43701 53688\n63768 90316\n315 63469\n29537 36116\n29841 50626\n26133 43764\n10462 81612\n762 25894\n29237 88876\n45106 67515\n2077 59673\n30961 51171\n12439 45138\n14325 83162\n69386 91422\n423 73273\n1131 90484\n30228 40848\n16593 29675\n11099 93815\n19084 47585\n10630 91391\n49422 97167\n15911 25201\n16442 18420\n13239 65268\n15470 52850\n11561 57804\n28095 56554\n27129 74188\n44511 73720\n31928 98383\n30446 71395\n29978 51110\n12491 27591\n12099 27377\n51106 87024\n36753 67079\n3399 29801\n20829 85280\n72990 87006\n56441 85935\n24253 81421\n13775 80684\n26360 58144\n57758 70481\n39524 49347\n28906 31221\n19279 52611\n56617 96617\n11601 47192\n81305 88183\n24601 38704\n27779 75876\n18452 77612\n9847 91511\n65159 93561\n28262 34832\n23615 76481\n11784 71005\n24249 70699\n10983 36504\n10657 24174\n56372 60586\n48458 57502\n21970 30602\n4947 17683\n36261 53489\n22898 87694\n42743 64364\n55345 58918\n18760 32000\n25439 41228\n28390 61929\n5741 25127\n51204 82634\n52282 73964\n15163 55175\n7330 8062\n70038 87125\n8045 98197\n9711 71288\n33131 98591\n15362 22700\n27060 86607\n70094 80975\n14995 93433\n2696 76204\n21014 90594\n10000 86917\n61229 99528\n20430 56868\n7100 60168\n39299 50692\n45166 87384\n52321 97738\n73254 73889\n8745 9244\n10266 17028\n69045 96732\n22409 26982\n11282 30172\n33284 64198\n34151 76350\n67606 74949\n14165 89094\n10235 60092\n1363 28987\n30341 49339\n1271 60905\n72594 92198\n20542 83685\n37438 51386\n30079 66030\n16902 61665\n41028 64706\n38676 42820\n17669 83918\n38141 82050\n17677 37449\n4858 35849\n2874 6676\n558 12722\n12721 34133\n37221 75923\n31829 89935\n24231 45724\n4712 70368\n13975 61155\n30382 51876\n42566 92170\n16929 17942\n12863 16757\n54626 75462\n44270 46534\n56312 74205\n25145 54876\n73865 97236\n35699 67056\n882 94929\n74365 91272\n94885 96091\n59255 79187\n5798 94537\n31677 72518\n18212 74108\n37249 76694\n37605 41086\n58534 90426\n2896 85858\n38791 45467\n14298 68393\n53352 58137\n37519 47216\n12683 92462\n93364 93748\n73808 84204\n38459 61526\n73118 86171\n76082 76173\n22564 75003\n17332 45584\n76368 90549\n93680 96600\n43659 48043\n72041 76918\n11629 96152\n38656 39883\n19611 92901\n23559 67605\n15688 83975\n38589 70601\n7923 24524\n48058 76695\n16875 90206\n15085 97898\n10036 10339\n43393 60216\n26571 45132\n37374 69673\n23261 79084\n2201 92335\n37369 85427\n33929 51469\n18910 19161\n87161 87885\n43873 44573\n32448 40234\n7360 17194\n52199 64809\n73071 98253\n53567 58800\n33610 58686\n34390 88581\n70669 70712\n9715 33787\n43827 86637\n2966 13928\n63319 92242\n18207 57812\n39564 45043\n48116 73367\n15491 84877\n56478 69425\n71537 91851\n26614 30074\n15118 28932\n21444 33952\n42578 53694\n65343 99691\n58265 72328\n27755 90749\n41713 60568\n29211 55123\n74806 87104\n26898 86430\n70676 88976\n61301 70836\n44606 50901\n23135 32731\n76000 84195\n84141 89471\n52939 91202\n12452 34775\n21475 56546\n13090 45610\n836 92363\n59801 69388\n22330 71224\n12714 75645\n9896 42457\n20764 62518\n8419 89451\n61244 91321\n30107 92899\n36787 79435\n25648 47017\n28465 99366\n8185 84973\n41058 81283\n13262 68340\n35830 99865\n20169 64790\n90265 94320\n8896 43010\n5587 53070\n56496 96372\n79970 89782\n68241 77234\n67497 90629\n3347 76618\n28349 50958\n27827 94929\n49085 53704\n13600 18743\n45619 91343\n49868 95087\n11422 28360\n83357 87390\n49151 63540\n37198 99237\n20996 83610\n26925 44942\n40920 83265\n25512 33225\n41931 77958\n88870 89628\n5711 74480\n68482 71670\n43628 87205\n31366 61443\n179 45443\n38221 71694\n21781 95067\n7287 96769\n3659 29147\n49477 97483\n6907 37664\n21213 29432\n8668 31565\n55297 94873\n34308 88848\n7869 90025\n49951 86791\n35492 80300\n8241 36150\n24589 39092\n49619 75484\n46304 90479\n29304 48635\n16536 61915\n22879 61031\n12781 48546\n5796 42314\n70866 90671\n79184 82860\n83992 93820\n18546 33024\n11513 18090\n21807 97167\n70501 85786\n57270 91812\n23861 25909\n40448 78841\n72802 87917\n56221 57965\n65612 72392\n46582 56198\n15872 54596\n19012 80334\n1887 1910\n8796 18747\n20674 72835\n3589 42737\n34960 97154\n46090 83824\n19255 32270\n23938 27734\n58416 82805\n35523 79519\n5826 13527\n26203 66409\n5977 48650\n7184 84849\n46253 80835\n38861 42096\n45118 98332\n19660 96942\n990 83305\n28852 51476\n60805 67383\n9430 39564\n42128 61081\n1068 77424\n17167 50943\n9322 59209\n6620 57259\n3475 56250\n19749 35476\n46980 50866\n56246 56701\n54327 84218\n10950 16743\n28874 43392\n64426 77946\n1056 56489\n60158 83546\n9188 42926\n78438 90041\n56006 61483\n7251 71976\n45192 95493\n53581 76512\n20260 81883\n3734 72559\n26623 34079\n5428 31780\n73712 98704\n10468 97443\n25699 91975\n60588 77384\n80508 88586\n5394 87820\n24790 48186\n74543 83944\n30164 93858\n27988 79269\n50802 63471\n59309 69167\n68570 72499\n6457 54749\n8152 73841\n47356 93460\n68451 97815\n24681 52267\n57484 75536\n6921 90942\n18266 89348\n32513 49782\n32108 43838\n73661 96684\n63516 87755\n33073 80438\n51849 64676\n72189 98788\n62959 86656\n42704 95978\n6403 26874\n22968 33352\n21919 60081\n2590 47017\n60074 78658\n64540 70833\n9304 24060\n13772 92367\n81236 98544\n43485 92623\n36372 69630\n3066 86332\n723 59583\n68556 73346\n66654 73076\n49082 66714\n27527 27700\n5918 67638\n63024 72766\n44600 61324\n97172 98115\n3267 72991\n11934 13530\n52463 81769\n61012 86090\n55821 62128\n19745 95216\n5478 20599\n46160 47910\n39516 52286\n13331 86142\n7726 94609\n14664 16778\n52661 99359\n27056 73879\n85160 99965\n9812 34639\n83 11210\n72189 88173\n56430 96301\n59140 60281\n83599 87757\n6892 15503\n78168 98314\n2616 88455\n74109 94586\n45631 89432\n1511 69563\n18184 72980\n55448 78147\n9658 15223\n27950 75178\n23800 65756\n26109 38068\n7150 88932\n51928 65127\n34152 87636\n30410 92675\n14381 82319\n46941 67903\n4266 36171\n4912 49174\n63740 68954\n73121 79064\n49432 98794\n12498 98043\n40111 91521\n17010 17042\n63434 76397\n15652 80985\n75101 95639\n8264 91019\n15747 60807\n55284 66007\n33551 98700\n44107 71966\n12220 70397\n81377 81742\n37583 50530\n47591 50217\n44025 68270\n94612 96202\n26215 70161\n3822 66503\n8388 41384\n52125 80578\n24215 97148\n2317 45551\n38708 65752\n48440 68306\n68014 96576\n32167 78181\n9847 57930\n51397 52723\n29214 52105\n81595 98358\n66571 76467\n28275 56305\n34400 43259\n77190 98020\n8301 15896\n8279 88346\n27615 42280\n70062 85003\n31753 69969\n59847 99116\n39789 76134\n11159 82376\n21414 48248\n40260 93549\n72944 92177\n37769 58115\n67361 68346\n30794 86602\n1183 89579\n609 89624\n52546 83395\n48599 76923\n16028 41272\n32489 75405\n5090 76796\n67671 73671\n3304 84100\n2970 47054\n32169 40613\n53443 86164\n20875 94757\n34270 59750\n25689 39371\n303 41038\n14713 21851\n29805 56329\n46148 76309\n71520 93866\n70586 71083\n23578 98563\n19914 21169\n26820 61950\n58813 96907\n53948 82619\n2428 24183\n34452 86506\n61794 70676\n38712 61535\n120 18394\n45498 81688\n70564 75231\n37800 68714\n24479 25273\n31503 89829\n91335 98799\n51981 58186\n33164 56967\n22509 60146\n39782 44599\n37005 60000\n18994 23600\n44213 80196\n15456 76317\n12195 39923\n28509 83659\n64092 71371\n41048 58450\n49094 59698\n35589 95351\n60738 86559\n33499 46467\n9945 15046\n78362 92190\n58625 97115\n17653 36070\n27809 55441\n2280 21495\n51734 81364\n54274 57897\n29430 67671\n48781 54935\n50541 70055\n1824 48885\n25662 76999\n19682 46494\n3330 75005\n47126 56839\n69038 77017\n50438 58452\n9960 16683\n1154 38408\n65009 99286\n75856 89118\n79038 82075\n36824 94840\n26987 49717\n11763 79907\n73444 95315\n4852 95832\n34150 56998\n38783 97493\n34091 63432\n10468 22720\n12232 45722\n18139 43747\n66950 83593\n64494 73314\n10829 63706\n56021 67529\n92912 98099\n37082 51338\n9671 92055\n29646 75727\n56675 91318\n80073 97517\n22084 62643\n28633 93018\n71276 92117\n8209 95981\n31440 85120\n25810 89556\n45352 57921\n54388 68010\n52844 75411\n22382 81890\n58643 90030\n23155 87612\n10061 44041\n55882 56542\n63463 81708\n13505 46271\n21129 82835\n33605 76167\n11965 65122\n47423 71072\n23874 24942\n13818 41068\n45589 47127\n52857 98457\n40703 62362\n28068 66458\n8977 44376\n18009 31894\n27953 71119\n29100 48981\n35119 95380\n89608 92657\n66954 98501\n39360 59182\n60890 62202\n2998 54390\n82379 90026\n42628 66313\n40894 52208\n1241 9375\n20499 66179\n55599 76586\n57603 71300\n52807 54435\n5375 24366\n76499 87604\n15869 21142\n16 79106\n1955 54271\n2427 21859\n72669 79517\n10968 33424\n49281 82235\n12293 72079\n33543 63537\n1503 60565\n56822 97095\n40102 89103\n36458 92241\n37319 70859\n73821 78981\n29958 73127\n74149 90059\n56023 74344\n35111 83850\n6357 53611\n13207 29732\n12228 53151\n8404 12688\n4416 41447\n29100 85284\n62494 93424\n52896 97443\n37819 92236\n10040 27579\n27638 48828\n48103 76934\n5798 67160\n316 9324\n14287 51218\n25600 70132\n15221 57035\n49951 98313\n57509 94325\n54150 87920\n22897 90886\n35031 99491\n7270 64519\n6028 98406\n75635 89109\n56581 74760\n94585 99362\n19333 54778\n70707 96661\n16935 81264\n1939 98865\n50266 94516\n12927 14696\n49180 72216\n37300 64015\n3911 21632\n24091 96268\n25815 66669\n29003 95076\n6884 51914\n68799 74474\n3816 69561\n19413 86957\n53051 59668\n31946 79064\n73752 81536\n70075 74558\n59861 89060\n12808 17545\n32647 62657\n39461 65858\n64059 66024\n1089 12775\n19491 94027\n53906 67567\n29856 91039\n62135 72417\n32905 79138\n31800 93849\n18936 66794\n8017 52839\n14024 50233\n37955 95840\n1919 67578\n37691 70013\n29622 57226\n7707 60004\n28835 72386\n56857 73936\n49644 57933\n11507 35542\n7953 85168\n7376 62492\n51907 85332\n54545 63326\n57148 79773\n46444 80195\n14354 16595\n12311 59243\n26605 47020\n44823 84258\n1123 83452\n18659 94768\n55801 70818\n73987 91079\n11922 98019\n4046 68439\n63268 82897\n7722 26272\n26184 60887\n43787 61575\n32395 43711\n6406 23390\n7871 8644\n29279 75859\n37200 61517\n29191 31120\n3434 65140\n12833 17896\n15961 57762\n47539 69161\n13678 56091\n7422 31228\n17892 75599\n11948 69737\n18003 24139\n34262 48949\n5856 47174\n41068 69971\n14164 59797\n2137 15460\n84716 92987\n32901 89932\n5738 10712\n43988 48241\n42245 48321\n16964 44068\n1972 3837\n20411 93312\n46331 67790\n8303 16271\n12753 59460\n39932 86695\n7306 80516\n29479 71008\n26598 76235\n40293 45003\n6718 82408\n41600 58606\n65183 65715\n49705 61148\n85189 88539\n22286 50588\n15944 23410\n42784 60540\n32702 45455\n46672 90877\n10975 58049\n57420 93390\n15724 34412\n52532 69812\n17146 78967\n7488 60474\n15208 60979\n67185 87389\n24854 54127\n8296 27528\n42417 77457\n62044 88753\n49613 73806\n50577 86187\n32783 51274\n57034 75495\n9274 77330\n763 96470\n41003 89581\n1939 68039\n22252 82127\n8918 74629\n90492 93510\n22313 64028\n39115 49859\n29475 92441\n37238 91662\n13750 63769\n5814 57718\n25024 32220\n80478 97802\n79515 85331\n65250 75411\n31312 38562\n64356 84526\n70057 98966\n59053 71576\n19867 54261\n36443 71675\n1024 80752\n4435 35092\n76617 76668\n21019 95725\n21862 65819\n5308 74054\n63093 97430\n28064 91030\n12178 19682\n55433 61084\n83023 97444\n34237 41112\n3343 80076\n49311 54808\n8222 78241\n1685 57253\n38778 94097\n74601 82162\n12749 81797\n40450 70550\n36279 94655\n27968 56627\n15502 25379\n25972 89363\n14305 83216\n16699 42096\n94610 99180\n68108 96433\n73278 80332\n92975 99128\n58614 60606\n15848 16413\n10974 78740\n32306 84230\n20115 90249\n34979 35346\n7730 44964\n12685 92633\n20063 34129\n26755 58417\n25744 39865\n51585 60091\n1968 26292\n36993 51236\n7790 18193\n12275 16734\n18638 49318\n35606 58461\n33642 94709\n35779 48196\n53888 73342\n40227 57384\n72043 92291\n8408 52714\n26008 66978\n58550 61188\n9928 21392\n9138 48537\n4132 41051\n17665 80260\n62242 64441\n41216 69402\n6507 81344\n70522 77347\n36321 74284\n23023 38989\n33990 39182\n16744 23687\n35259 68992\n89389 99208\n11776 96447\n36801 88672\n12875 91060\n57571 93132\n9826 56971\n83840 98086\n62911 99303\n18645 98952\n52778 93577\n51191 93542\n8298 86937\n26481 74228\n15638 17379\n4763 48944\n69363 92245\n25912 33423\n26190 38832\n24246 26618\n36371 54566\n33994 81748\n37426 46948\n22739 55207\n1635 98334\n37131 99881\n26456 85432\n29194 60045\n76712 88413\n6404 17883\n2248 25811\n52831 93353\n52861 88249\n4887 9145\n13153 99106\n21854 45596\n4628 63248\n56120 58931\n39050 40884\n18413 33315\n8106 72340\n36308 90624\n36619 71316\n36030 50243\n39971 60845\n64495 73662\n61984 91109\n36429 44114\n42835 55731\n3843 23160\n30244 62701\n5206 43672\n39816 85987\n2739 93437\n6748 85718\n32434 57128\n5087 87175\n14463 61192\n78932 93566\n4659 14189\n38291 96883\n14087 95424\n40795 43670\n53697 94225\n72372 80047\n35680 96359\n47930 81324\n249 27639\n41319 85613\n2380 35323\n57717 94284\n19895 33677\n44059 82558\n14489 58605\n8711 93368\n59789 89111\n27589 38479\n31639 88026\n18608 64027\n22945 96764\n42023 94828\n16970 96131\n43191 59189\n5936 82143\n30835 94554\n38332 80304\n6873 69016\n57911 93951\n25533 62822\n57090 86615\n1637 58172\n465 28267\n88356 91218\n68029 92557\n19582 52411\n76753 80750\n55855 60957\n2347 46006\n13130 65078\n90645 92012\n8331 27940\n72254 98719\n20285 64280\n59850 76167\n4439 55812\n55311 72549\n11299 20941\n10659 77369\n34442 44607\n13058 86458\n34584 48728\n4678 70716\n54962 89792\n11258 77494\n63580 79222\n3073 91131\n21020 97340\n22591 48666\n52136 56438\n69851 98523\n35231 45860\n661 74014\n37269 48819\n32169 58091\n77240 98196\n50228 73797\n34569 93964\n23908 56308\n27425 77729\n62278 71913\n12998 56210\n37988 39948\n24713 95603\n63250 79270\n39852 60152\n47343 63569\n38071 78758\n23027 70037\n60821 84529\n23814 69817\n29097 42267\n32078 95224\n26719 91763\n39235 55617\n25134 64563\n37832 90911\n81177 85229\n26696 37141\n71052 93274\n34743 96597\n25494 29180\n43545 59673\n54509 87613\n25615 31601\n40513 45730\n44349 44655\n53960 58432\n63865 71002\n44047 44068\n39042 47268\n45738 75031\n54156 81299\n39487 49998\n74052 86173\n6344 15912\n7869 84559\n1756 38895\n45729 55723\n48634 53240\n42016 80131\n5372 86705\n14396 90887\n21662 98661\n79980 84514\n36895 87648\n53403 67791\n2349 57643\n1701 20344\n34249 76665\n50205 65594\n10722 78095\n54621 73232\n26629 69203\n31496 52436\n21717 79635\n31264 37613\n2846 21003\n36601 70940\n14408 29707\n2717 6651\n57407 76168\n25121 95729\n5334 33722\n12550 25725\n12673 96328\n12999 81471\n20232 67693\n34354 53172\n39059 72276\n44653 70549\n48596 97677\n60918 72225\n87243 91871\n93785 97267\n58281 73046\n65323 99267\n28751 94756\n1844 40913\n79429 80962\n28080 80323\n19786 43732\n55696 88368\n49049 85905\n36931 53527\n13389 44796\n17217 97897\n1886 33730\n13554 98024\n82471 94063\n14426 17675\n77580 80576\n34797 51108\n6163 69485\n9531 14871\n61904 96705\n4623 43858\n79776 99568\n39917 85308\n60590 87353\n16118 76799\n32304 40096\n27498 96772\n11126 96377\n43580 78562\n48596 71689\n14664 54439\n9259 93268\n15129 85403\n63174 84132\n51811 92606\n70868 76998\n65733 71412\n15419 58630\n78144 85720\n44273 51712\n50964 64177\n44557 58669\n22982 32562\n9807 86628\n29487 38841\n22877 92577\n13219 59754\n56946 80720\n22090 33067\n2870 76646\n19311 80311\n51257 96369\n26239 61362\n44915 66525\n79136 79908\n40560 91340\n11239 18821\n31076 95152\n7396 81353\n1792 29685\n29903 67306\n20999 80388\n22615 72386\n17644 35010\n2131 6079\n59908 63195\n5112 12156\n311 81538\n38484 42263\n36344 65952\n71798 90740\n93336 94436\n12940 15544\n85712 98344\n11351 24193\n11993 80836\n9918 80116\n68569 97013\n8131 39189\n74355 87058\n37909 57549\n29880 74169\n48072 54260\n15083 62779\n20922 34894\n22468 47720\n8212 55679\n37028 43318\n17375 39080\n6213 31836\n37789 69568\n1212 64195\n42344 96110\n13653 77888\n22839 48520\n3430 86645\n29270 48704\n175 38177\n69995 74070\n19966 74449\n19114 29642\n5051 9822\n41723 86209\n79961 88636\n23492 91424\n36657 68814\n36025 69065\n41062 52646\n13921 61878\n19421 68948\n21967 51895\n47586 60072\n1052 31064\n29702 72112\n15633 92922\n59191 63671\n90668 97640\n56758 86282\n32938 93332\n71037 82505\n58228 94503\n34388 53595\n218 39647\n45937 79907\n28462 33448\n1684 25859\n69250 93273\n369 31150\n39488 98687\n49109 62793\n2356 99127\n21484 37738\n29354 55348\n22733 53743\n28810 69588\n51333 57579\n18212 42493\n83202 97616\n12193 94112\n21940 60866\n26983 38676\n3681 35384\n53059 95858\n34098 59420\n27067 97055\n9121 99698\n46768 80347\n28927 62139\n72740 88900\n5632 50146\n7008 11927\n26162 41678\n48002 99565\n1521 35976\n9248 58104\n71686 99892\n37266 46804\n47476 77151\n10554 85344\n23469 65102\n14085 15958\n71849 99627\n6149 68001\n16501 90853\n4643 12361\n846 66810\n69201 99295\n41646 91534\n14340 31317\n55990 84979\n11403 37634\n38264 94107\n19369 71996\n36601 91074\n53370 70667\n27192 75477\n46054 91498\n67989 91905\n25878 49103\n88186 94352\n15535 55906\n95908 96471\n11831 51394\n27351 86601\n30893 37255\n34718 37628\n3288 54352\n4503 79011\n11131 16556\n5522 18792\n54205 95362\n9925 95841\n97487 99365\n9555 68354\n64763 97859\n31902 77215\n58216 94899\n74478 84900\n14079 42891\n10681 85405\n92961 98520\n40852 83885\n54404 66290\n47818 70531\n1198 41723\n47999 75082\n7614 65671\n58257 88848\n6801 42840\n8139 66152\n20177 25685\n1141 13207\n5949 34350\n5418 33071\n28422 39589\n17247 33225\n79752 85690\n66287 75725\n8914 35726\n568 14820\n89507 97356\n7981 20640\n24877 93592\n53388 90414\n21021 27484\n12537 99852\n28763 79602\n44874 83825\n29554 34973\n50560 73576\n96502 98795\n61704 96927\n49522 54855\n15095 16866\n33510 51086\n20288 47214\n15958 96891\n11454 95573\n17112 66654\n53440 91108\n35560 36513\n32147 66305\n8293 39441\n28889 52020\n18657 43541\n168 42164\n23338 95858\n56604 78536\n22635 72888\n18994 94007\n39733 93089\n22860 95823\n74062 95177\n71591 86368\n52936 92874\n22066 39169\n15684 26425\n79261 90824\n8670 81381\n18755 73489\n91733 99617\n20387 91090\n1176 77195\n20746 84234\n9749 64982\n14798 79297\n22762 58199\n41552 69211\n9439 21435\n3998 79305\n35032 80608\n68347 77178\n9703 11939\n14424 97394\n61619 89133\n50067 70126\n6706 54904\n18441 62463\n32330 55431\n29118 90672\n41303 95681\n10244 13233\n26127 95812\n55170 85141\n20727 34599\n4840 88165\n35691 74194\n22958 97726\n20593 30910\n46574 73873\n59609 72768\n22651 58961\n4522 62901\n11432 43102\n45463 90403\n1687 12902\n54202 56141\n75823 80915\n2228 77528\n64357 90380\n25203 65298\n6763 59679\n76673 91973\n19990 63493\n57309 74786\n22065 81433\n20357 85398\n3138 84145\n55934 92498\n19586 71103\n60332 84616\n48759 94362\n61883 96077\n18795 75937\n6629 42180\n21637 53508\n66873 79868\n7769 25007\n67917 95532\n24921 87603\n3522 97104\n28442 66822\n5953 78929\n15955 50505\n8142 99352\n10791 89335\n27209 38234\n7617 45144\n79453 84202\n62333 69571\n36156 98369\n6937 93806\n35524 42329\n25432 57633\n25957 32497\n9906 73566\n2624 6198\n13737 25546\n23053 39459\n46357 68784\n21062 24047\n34316 41048\n24513 38597\n14795 56851\n10547 12871\n25432 92445\n43725 45061\n6304 57072\n12289 97791\n60655 75487\n2894 73228\n55457 98394\n26184 69330\n45592 66381\n12914 66319\n20262 28065\n27056 91936\n6681 72533\n1732 98609\n25714 52816\n60588 73077\n18818 95036\n5699 84220\n36340 75570\n15537 50326\n75712 80750\n37346 69147\n16594 67911\n2 72546\n15745 76353\n11824 18841\n24754 59052\n1077 98638\n1372 5981\n34961 57259\n60198 84793\n32860 39782\n42704 79354\n16907 20229\n57722 68692\n32670 35297\n43291 86804\n76161 85032\n11242 62578\n46379 60712\n2859 36693\n9335 88061\n29971 51246\n53520 89143\n18278 52791\n2942 3564\n33587 70318\n14948 22918\n89429 92821\n45564 95514\n91967 92542\n39654 71327\n2793 58636\n25284 74831\n12612 21752\n13698 67962\n32210 93767\n24636 79670\n25228 59545\n83190 87538\n27221 59963\n3577 96332\n61219 63197\n46589 74770\n62374 92135\n2408 56815\n73083 73371\n46821 97544\n60042 80549\n45832 75819\n25979 91858\n83599 94763\n40878 82171\n29496 44126\n1240 39850\n24456 63564\n88583 98936\n7802 61467\n34771 66864\n66791 75176\n79995 94802\n3465 45676\n14681 47262\n25668 99061\n7584 36990\n19389 91787\n45659 90307\n79826 82049\n10328 74898\n22707 77417\n59906 61129\n11073 28164\n11877 51846\n53405 55725\n399 15422\n16332 87816\n17856 31103\n68968 82573\n28832 80713\n11156 85735\n68699 87280\n84257 92727\n44354 76087\n16053 74398\n24975 62035\n4088 50416\n58266 96527\n27583 83814\n57584 80507\n30719 99046\n49527 70059\n23906 66798\n71211 75298\n11213 97146\n20777 27586\n37053 61230\n31200 75227\n84527 87548\n19137 54552\n47545 74427\n47266 74138\n39345 71229\n36015 65500\n15737 32519\n4127 25311\n47563 85386\n35648 49832\n53695 60703\n45470 66669\n1082 13610\n15311 55204\n26914 62667\n14279 83476\n60138 97220\n53126 75674\n45364 47123\n2966 80987\n52138 70411\n38673 45572\n20534 52147\n24981 46681\n72782 76342\n4997 70179\n67421 68836\n36056 41865\n9668 50328\n33163 43650\n33529 71487\n66995 72706\n12903 51364\n11395 52920\n40470 78019\n51918 80458\n44782 45364\n19306 44570\n52700 72663\n25333 66094\n37439 74558\n47761 71337\n7073 38184\n17962 49247\n11934 75952\n48174 98255\n8810 51554\n80112 83247\n14901 90042\n424 93534\n70056 70190\n39032 49884\n78890 97114\n19002 81937\n44211 48591\n32421 90114\n53036 88258\n72721 90270\n19740 39633\n11973 63623\n12767 95441\n73692 88035\n87157 90191\n15061 68676\n7596 10380\n3589 74993\n21710 99186\n795 47654\n71062 97065\n11560 30233\n59919 93828\n12950 17071\n32656 32745\n11546 61731\n28574 67395\n3584 11316\n25719 29764\n37083 88379\n5464 61621\n12297 25243\n5051 38899\n80523 97803\n29461 90790\n12331 13684\n38456 71307\n26974 47470\n65793 87960\n31528 77188\n5795 81014\n33933 64446\n19022 32901\n53104 61079\n27252 49567\n29170 92618\n42556 92034\n47431 54197\n80974 96993\n36497 99466\n12246 84842\n37147 50740\n78050 92613\n24848 49047\n11537 47447\n55037 64572\n9253 99458\n26725 68949\n178 36826\n24370 65367\n91375 93669\n51290 91212\n9746 34352\n14394 48477\n78416 85541\n18443 59401\n45213 93922\n59265 96982\n8490 69547\n5110 12933\n58741 85842\n79775 94980\n14549 57781\n3039 57073\n45920 56754\n20456 95742\n44634 69690\n20027 62458\n3589 65664\n1725 15379\n31837 77824\n473 11369\n3941 72173\n46761 75176\n16125 65314\n27334 45932\n22814 31303\n9833 78256\n30089 36087\n51409 65092\n76426 97109\n63719 81649\n1786 87066\n63128 97730\n6955 92710\n32334 86031\n64772 76864\n48533 57884\n52609 79111\n65944 85522\n80736 88576\n61147 73628\n23894 73666\n13137 82176\n82597 86654\n63563 70672\n71259 75746\n17557 78096\n2877 85127\n15469 33940\n61926 90655\n70055 74154\n66283 80252\n12941 72223\n2842 19515\n52924 90973\n85653 94968\n13532 87887\n22537 25628\n11430 35413\n18230 77090\n51625 57073\n20405 94402\n78264 93435\n24693 92013\n60526 73990\n46099 75835\n28915 96357\n27725 49564\n35680 93983\n3729 26413\n80210 86625\n66186 92910\n60501 84245\n12707 87314\n14273 50387\n19342 97623\n18079 18286\n20704 24091\n45084 59209\n9790 44031\n20013 67944\n21256 50865\n11248 43730\n59434 84283\n22180 60499\n28704 66618\n2337 20519\n13190 20605\n20447 75585\n20693 32780\n22840 58273\n39337 95198\n13036 54752\n67206 89745\n52576 57983\n43659 63448\n23560 84169\n18702 58097\n22437 54739\n7347 7502\n15145 19033\n41652 88139\n5580 30152\n4197 28039\n2905 80920\n61415 68641\n13164 89907\n1163 45615\n1586 42970\n2561 96893\n21424 23499\n20438 34041\n50946 77465\n59000 75457\n39054 58817\n72086 93117\n3476 14138\n18262 36458\n972 88833\n48599 72755\n36385 71150\n73528 91261\n72911 92133\n29761 73174\n13332 69981\n4859 24148\n16948 77333\n20398 93145\n31355 65619\n13286 65685\n16881 60580\n62373 76091\n42862 59795\n7524 10224\n23315 25489\n69949 92826\n93489 94874\n14079 83910\n4725 97055\n4145 95890\n6927 26197\n86266 88771\n36879 74583\n61360 73450\n18588 81752\n51922 90401\n21328 41388\n33625 52892\n45147 52124\n30885 83046\n23524 99399\n2201 87749\n28011 64024\n32572 71724\n23971 83169\n49837 59542\n48449 54828\n1542 38234\n3299 26730\n18158 93080\n9225 70089\n41725 55287\n23374 97736\n69812 70220\n47695 85799\n556 87754\n45727 61933\n29809 72067\n61489 84012\n27160 82780\n37522 42032\n49887 98808\n20862 65244\n59166 71337\n14578 48882\n9414 62349\n2746 38700\n31287 62049\n85909 89770\n64167 64313\n68304 87361\n23585 55667\n60967 86939\n21371 92276\n13949 40564\n76991 79276\n15429 33655\n52113 97746\n60496 75928\n43048 91544\n50064 51808\n44840 70007\n30779 59095\n26424 84142\n77355 82781\n8846 91590\n6852 61648\n64857 66331\n88941 91735\n11959 27828\n55823 89105\n11494 75131\n45783 99705\n49648 96318\n39628 99553\n6033 94576\n26151 39237\n66347 87252\n51849 60219\n19931 66836\n2067 43698\n45794 79474\n14882 47035\n86412 96281\n8859 28575\n53614 53681\n44016 69032\n34161 80875\n8124 57797\n20041 26499\n62228 82992\n55988 75938\n23617 36259\n16278 34940\n51136 81732\n36750 48286\n33020 68180\n59105 98621\n6395 80151\n59459 68695\n3442 17894\n21503 49988\n22601 67296\n17898 34904\n5581 42313\n17175 56229\n8871 37624\n18202 72658\n12407 30879\n3471 20599\n50857 95340\n2801 12022\n49508 62990\n12655 35573\n23648 99440\n22659 68290\n32210 77424\n46102 55731\n49030 91907\n50401 92570\n97861 98623\n10080 64583\n49064 80339\n2618 61254\n27949 67531\n82262 82898\n6594 29087\n16420 96853\n12862 71935\n8867 38707\n2418 73515\n2275 24807\n58185 67497\n6842 71804\n15231 71711\n84901 87284\n13360 47552\n29109 36612\n27046 65736\n34548 68075\n33064 41211\n4245 85689\n81371 93038\n83 39174\n88363 96838\n12485 23726\n9642 61149\n64175 95504\n51636 72996\n39055 47040\n17520 36775\n26802 90544\n25342 33052\n74289 93343\n38920 61380\n14281 71559\n13242 16151\n29752 61222\n66037 68753\n66073 90530\n67587 77102\n31712 85275\n23798 30735\n33414 39800\n21874 87484\n58780 99224\n59565 79138\n34414 61763\n16255 94006\n34174 62591\n28793 33743\n9917 49225\n37689 73269\n13423 27044\n45342 87868\n8248 51825\n59101 87362\n77886 86672\n30707 68652\n11462 49637\n62656 74172\n13895 86431\n25076 96542\n25776 87864\n19770 68658\n58644 74428\n69244 85159\n10406 26179\n22435 45979\n71193 77649\n88891 96682\n44219 95150\n9512 66532\n21628 29565\n1234 57506\n56121 70719\n43844 57495\n11896 98328\n13196 24926\n14815 56747\n78563 80423\n79501 89268\n51019 58800\n64684 67622\n2124 68124\n32772 68494\n46694 82952\n45627 72686\n32881 45229\n41074 51516\n38612 95919\n31017 83068\n9936 44267\n18968 18999\n41910 97976\n5630 8593\n47015 90883\n42464 86234\n24286 32996\n36215 69927\n35888 52497\n12962 16790\n44774 85119\n3423 85430\n10050 18679\n30291 93851\n77452 95399\n62640 63099\n48246 60736\n11608 37613\n21039 34268\n49674 63195\n22167 49581\n1407 36858\n69476 88019\n2041 4579\n64236 79990\n23541 75843\n14334 42027\n4472 96303\n4378 74071\n29138 58531\n72311 98538\n16680 55776\n9082 51613\n21821 54732\n41019 87829\n31389 95763\n9214 65379\n13543 53898\n41845 97005\n38587 94551\n28575 75095\n89894 94867\n6009 44625\n38589 42466\n37767 73357\n96216 97878\n41095 69930\n29153 57473\n4718 17939\n17764 85521\n25182 78701\n3538 21347\n54473 91207\n15736 98913\n93573 98099\n28057 88399\n11095 12074\n31505 69276\n44091 91343\n990 38807\n6474 8767\n38777 55179\n64907 96195\n18909 73211\n43406 49027\n34285 99674\n26505 51934\n27205 76234\n44318 81609\n23740 83641\n17099 92387\n65658 74552\n2589 28976\n8433 77624\n7727 65394\n52359 82559\n33070 54567\n41048 53684\n32967 51605\n15653 73227\n13857 57006\n3318 85044\n71793 87701\n79934 89070\n41409 62871\n12467 99402\n6946 24745\n5982 83866\n41103 49182\n26036 26665\n18622 97644\n5792 94657\n15608 38001\n42350 54824\n18903 92985\n28938 97363\n35704 35963\n36801 39101\n35364 79672\n11217 82381\n44237 68661\n90683 98979\n56997 99401\n16407 23329\n46601 64735\n34345 77166\n10300 36655\n30271 35670\n3845 72834\n60643 72140\n88147 98407\n24407 73376\n55201 73107\n84376 87722\n7332 81582\n8179 88868\n59180 65466\n84565 85627\n27659 94427\n14585 33520\n54222 80605\n79044 87065\n926 98960\n3049 12309\n49855 94783\n37651 41096\n46515 89176\n58413 91907\n180 40275\n14199 53792\n45018 61838\n36794 81130\n20459 55865\n25376 89443\n42692 71680\n10401 59857\n9778 97537\n4407 28218\n19891 86013\n93876 96719\n32042 63401\n48839 50973\n27530 30632\n35484 54647\n61733 89751\n7741 17716\n40133 45072\n18897 53884\n26168 44166\n10921 14697\n53285 73196\n9008 42693\n30752 34133\n17077 63239\n45952 52654\n88965 92429\n42109 61774\n59377 93722\n38622 42132\n15684 88326\n59577 84151\n14126 86837\n32966 72551\n44716 77646\n12292 16201\n21521 25817\n826 16703\n22696 78933\n46419 56581\n37898 44357\n60675 99908\n9045 18873\n52802 58278\n1685 51114\n17467 97024\n57376 59163\n13925 18910\n21598 36760\n74877 78040\n41040 41305\n25860 85583\n36924 59126\n7146 39998\n34256 43077\n27669 34754\n954 95670\n19367 88364\n21792 78975\n28895 68717\n46940 53977\n33123 90065\n68063 82199\n66057 82860\n25117 87967\n59281 85864\n30947 88056\n62060 81656\n9353 43875\n5001 56918\n64687 80879\n27923 79854\n10329 84357\n48371 70396\n22759 89551\n3360 12483\n40001 48163\n8981 72197\n14958 96215\n53757 98709\n73856 79824\n2016 8165\n62130 70678\n32560 78431\n10295 20271\n55602 62655\n12828 82852\n8045 78514\n90159 92246\n55035 90215\n4450 68637\n15488 16526\n6685 37454\n16066 55902\n6959 36543\n11081 29732\n50436 80631\n652 84919\n46495 59438\n44597 93536\n27162 48586\n13043 53464\n43112 51867\n67186 70046\n52853 59410\n47591 65338\n35395 91920\n54492 58808\n36418 48618\n74096 95734\n50268 52698\n4062 94316\n35961 76779\n19870 32764\n37910 65064\n36418 58627\n8832 27019\n24220 36048\n61090 89630\n49224 50120\n13131 47165\n45202 93060\n2878 90272\n34017 72677\n11712 89222\n27906 84219\n18584 19210\n17229 99464\n29512 37741\n67272 98596\n11066 77328\n36577 83269\n2126 71007\n7596 95158\n38268 96422\n225 94346\n43750 97418\n21139 98057\n830 6082\n5036 82133\n23724 69568\n24594 98669\n3503 68428\n7854 58388\n77190 98809\n41279 89581\n71308 96504\n28241 97880\n59248 67561\n57636 80345\n26050 56611\n13738 46635\n9204 49950\n87532 98572\n28779 80474\n7945 96406\n36767 99666\n23313 84294\n17148 44386\n6244 45774\n55914 82972\n37053 66613\n23783 79278\n57478 86511\n63753 98252\n4745 30850\n7262 8199\n7637 31519\n41583 43930\n35856 91212\n11074 53673\n7931 83174\n22591 23536\n15135 58818\n6918 78605\n43117 91106\n10270 95465\n56407 76264\n46926 74380\n19180 39386\n21165 31823\n214 53902\n30289 66990\n90704 99122\n22385 35330\n22615 55247\n13112 36797\n47591 56972\n57868 59725\n12113 26407\n63667 69318\n18809 71303\n9657 72262\n33166 40979\n1548 25013\n57465 78773\n67363 84318\n43322 68727\n69741 86057\n48372 90162\n12657 24020\n31860 62869\n34968 66550\n6158 10182\n69947 95140\n6050 31348\n34880 73727\n6680 31394\n38984 77776\n48499 64614\n74687 75897\n19999 86768\n83689 93399\n43717 70667\n10321 72900\n32075 75513\n27135 47348\n969 36699\n6434 42342\n39076 73593\n9552 86833\n113 29605\n77284 91241\n47264 55285\n2835 76426\n26688 76692\n1484 58192\n11854 80753\n2808 77113\n1651 40867\n30228 62259\n9733 98263\n52454 80656\n16438 90350\n2226 71375\n18060 87231\n29954 72598\n76259 89868\n33204 72488\n40939 78315\n20043 49568\n9938 62477\n12252 83556\n58692 74711\n46425 72139\n14335 42765\n7718 85291\n10415 24104\n4008 5020\n39696 76302\n22717 26932\n50639 98621\n9456 45424\n4488 9250\n6271 41748\n47578 55807\n31913 77990\n6288 8332\n41439 83194\n385 21211\n16498 81438\n8053 43561\n68661 87863\n85036 87314\n17498 80324\n29346 98113\n6499 15926\n46476 59260\n19425 81372\n10947 58435\n54851 89376\n22414 77767\n12999 41100\n18375 36154\n41579 92512\n7371 91163\n81152 94144\n47896 67132\n45340 81188\n55067 99265\n18591 53892\n38702 86479\n19971 88903\n35837 97384\n92800 96690\n7583 34317\n53089 87135\n71507 72385\n50355 65582\n32870 57823\n66386 82992\n22721 36627\n14868 49037\n5642 72551\n33900 91907\n57887 89775\n13383 32985\n27192 43407\n86994 94182\n71216 75802\n4437 6022\n16765 19493\n73341 99951\n21082 51756\n52165 83620\n70502 73526\n17686 18453\n21345 79974\n12508 80617\n58273 99766\n52855 81000\n10638 33127\n3177 11606\n26154 65740\n77314 98705\n17185 66885\n23387 59342\n26558 56703\n79011 82880\n16579 76310\n43954 56039\n19305 58071\n43453 89255\n48041 59025\n81839 93963\n19866 94276\n29312 41816\n36630 72743\n85204 95620\n5743 44897\n18928 55690\n22048 95029\n2202 73468\n69494 74965\n4780 64170\n22888 58827\n38734 59214\n30667 42592\n22227 83539\n43871 48387\n32234 73697\n24386 32027\n29916 95656\n57922 74421\n45580 94257\n38637 56467\n20927 61387\n31400 39944\n14600 98189\n80368 87378\n45118 56421\n8682 96519\n22820 25810\n16414 40907\n28752 87468\n18232 67945\n30834 78505\n55885 63702\n17646 82255\n14283 93841\n4120 96463\n35645 70821\n26181 64390\n60197 88011\n41583 96225\n3601 6091\n45003 87706\n1158 41566\n6626 10735\n25854 28068\n41163 94003\n11601 46960\n41828 89998\n49595 71992\n110 15232\n1658 20354\n5917 77307\n66271 85146\n68220 91273\n38511 78750\n54361 77222\n3075 92159\n55139 73507\n28293 45252\n34683 66240\n23508 45207\n4429 70777\n34103 36787\n4524 86963\n20890 26709\n12052 24042\n28088 47703\n30873 44348\n54728 96415\n48187 77279\n24015 52738\n21997 82772\n45443 54067\n24023 71294\n58536 85034\n82206 85397\n84952 87640\n8548 23984\n55428 95917\n3114 11158\n11432 55635\n10449 83427\n54215 96506\n8223 71850\n5956 84450\n21115 21817\n597 24394\n10862 41802\n56100 87126\n555 38764\n35066 40597\n6911 90143\n49145 79657\n14519 42838\n53848 87041\n60722 82205\n8100 68396\n40371 44282\n62415 90523\n68551 77382\n11820 71817\n30056 66453\n58965 78604\n15662 75302\n6044 30408\n30336 66495\n63388 74837\n32463 33332\n1270 65588\n84885 93559\n42227 78290\n36879 69234\n19360 96910\n75131 79787\n16131 55480\n20869 25871\n26608 78824\n28283 32587\n2414 94852\n36804 82551\n25240 81523\n15417 25973\n38825 88817\n77147 94185\n24554 32473\n1153 25018\n21972 92226\n45641 61372\n18871 44092\n20287 21109\n17745 70168\n32783 77310\n74246 76485\n11917 18141\n4176 28821\n61602 73689\n15881 68964\n34237 73859\n17922 72463\n29037 54008\n15685 93591\n24235 24514\n11537 15958\n1190 51980\n30809 92495\n21708 71349\n13811 45996\n6800 40809\n47226 84303\n46198 54222\n32621 33424\n74694 76299\n13702 44394\n25436 77413\n74851 75307\n45012 78209\n67300 86047\n36474 49293\n52654 76914\n57209 87270\n8803 70495\n62281 89643\n41947 83285\n54328 59045\n19072 87497\n49463 89461\n61589 70759\n57011 94896\n23989 76219\n75524 88694\n82229 87568\n60821 62790\n55495 64626\n27831 80986\n27516 36580\n26257 43117\n6839 20820\n21611 92140\n14185 36389\n12079 29184\n51345 66698\n83306 94810\n45900 92676\n28319 85867\n6469 91235\n30762 51719\n9476 15028\n3708 11181\n79803 96737\n49744 69927\n54681 83514\n28105 82606\n45600 70659\n31410 31601\n13845 64431\n17669 94505\n20989 37254\n7756 34184\n21128 86874\n17519 49107\n42200 66314\n41548 49461\n31786 79927\n8603 95203\n95456 96676\n6891 10275\n7373 29141\n96569 97348\n32773 36582\n45364 85982\n16900 70885\n11682 45659\n5932 81444\n2782 17197\n16105 45331\n22202 81269\n26183 87607\n10649 54588\n18380 82887\n34366 76499\n11386 47914\n34506 95787\n6874 13873\n1217 77748\n28482 85010\n6716 25043\n30736 57267\n22200 81070\n64666 92399\n27171 34301\n4251 14297\n34817 45405\n22028 97604\n15382 92460\n69268 88557\n6189 32242\n77218 92152\n50998 88010\n40765 82512\n10826 16134\n13947 75553\n22219 23554\n20010 38903\n2858 40616\n90039 93924\n14417 37582\n69002 96974\n32356 48687\n36831 88215\n27713 28955\n35927 68247\n51020 95807\n73696 77869\n22079 65872\n50191 98413\n66607 79848\n62907 84497\n12897 74370\n15859 49792\n26391 65712\n11914 50885\n63416 83223\n21930 66188\n33752 54602\n54187 56183\n81694 93372\n8026 20160\n28656 79538\n54157 56480\n1479 55093\n12493 79919\n26918 67386\n7729 60549\n18441 53688\n3221 52520\n5891 93719\n13450 21853\n59277 93896\n59716 65310\n25371 25692\n16103 37205\n1523 22621\n17357 60616\n81979 85928\n32247 88543\n11533 46147\n38116 80128\n55861 91061\n13231 80148\n5449 53777\n7280 80130\n45265 89295\n60177 81758\n11404 86772\n70215 95884\n66287 69092\n10825 11666\n55879 65701\n33953 51517\n66539 89708\n18439 91369\n1502 43900\n58312 74995\n36781 81632\n57524 70266\n11619 81891\n1537 87568\n52137 90841\n12347 88524\n27002 88821\n44555 86667\n3076 3490\n4976 98900\n15517 31815\n66187 87473\n40922 66815\n93639 97321\n57668 88971\n6789 20660\n42663 72617\n29178 64836\n16972 41734\n33725 90506\n68253 89080\n50177 85262\n5474 67975\n27050 44719\n44582 74913\n56343 69573\n8268 43404\n7504 55772\n21166 75382\n23943 73254\n38463 56633\n20537 45635\n7029 11781\n71303 78507\n62464 70381\n4197 9984\n50295 71677\n3928 34605\n83090 84209\n5266 69387\n6160 83370\n83779 86109\n12041 83631\n33860 87669\n23237 66556\n31851 70181\n13800 42156\n557 50517\n67761 69928\n94579 98495\n13973 34886\n28341 79994\n9212 14451\n779 75681\n24346 72103\n25289 41326\n49853 67266\n37808 95869\n19556 85494\n31625 60553\n11623 98809\n87872 92122\n37059 79220\n19128 77643\n68489 76597\n44996 95585\n64882 76072\n68086 80275\n45571 91610\n47662 49158\n89082 93250\n14428 72820\n22775 80683\n50601 62879\n16771 90710\n51477 60164\n57637 76268\n76815 98316\n72074 72213\n30929 52718\n71086 82467\n6248 29108\n1024 5318\n52207 67832\n35608 74201\n1116 94964\n87389 87548\n10798 59074\n43694 98128\n470 63268\n13121 52575\n38480 42391\n4759 80750\n55089 87525\n28760 56269\n29342 30731\n46576 81237\n32626 75386\n22863 31604\n74088 74627\n12538 29519\n28501 80384\n8474 12580\n33844 89275\n86802 89052\n25466 26135\n55855 89928\n34664 74170\n73298 79406\n19384 75974\n11373 65674\n64329 92043\n16308 31914\n51031 69565\n20125 82198\n50543 99141\n63079 70405\n20246 28727\n9762 89904\n12120 17096\n3797 27575\n26095 42016\n37021 41241\n15884 98009\n56547 93529\n49477 71529\n27803 72985\n59601 63433\n76830 80660\n47056 88084\n57584 98826\n22124 69097\n28563 94742\n47052 76087\n33353 50964\n27080 71751\n19632 22104\n6819 25013\n4396 74222\n47504 74735\n40781 93343\n22187 44693\n66854 78754\n38956 90224\n3907 11745\n10637 52023\n15055 28313\n37862 49671\n26531 67012\n3226 82954\n69551 99353\n8288 16209\n12326 29461\n22007 99419\n3040 97773\n79250 92912\n56400 89629\n32071 45163\n36292 70810\n3135 39196\n29257 47151\n21076 62407\n53963 82214\n45150 77626\n44123 77584\n25481 92705\n30514 80700\n44057 58446\n64904 81883\n19134 99119\n2222 48958\n20341 87992\n44488 70814\n12475 49366\n2149 68930\n14560 87761\n42784 55021\n18111 83007\n18443 27843\n57327 88988\n34518 71901\n6021 77856\n26076 46738\n72061 87151\n83185 86848\n43165 56584\n4945 55962\n23914 44413\n8911 9913\n641 55787\n20941 76951\n40251 75384\n79761 95743\n54303 81177\n60213 84731\n32435 38235\n412 40766\n11468 53035\n44518 97929\n18745 79768\n27902 98876\n11652 44371\n57143 85094\n29656 32256\n4680 72434\n44795 82781\n44203 78197\n23622 50478\n70274 89761\n11912 42344\n52821 98908\n39467 89826\n59776 81374\n35979 50926\n36818 66278\n47138 76109\n34235 97077\n45814 84896\n18852 22492\n61073 97949\n1340 77450\n40701 54819\n79316 99264\n31295 84375\n17077 28053\n19111 36005\n5179 10660\n25511 43722\n12848 73748\n34479 61266\n13208 68995\n4010 61139\n20767 70401\n81920 83520\n28014 47250\n75665 97064\n9345 31475\n7050 17905\n73893 75644\n1781 86797\n12796 26987\n32280 40795\n33219 62509\n37038 42565\n46167 51602\n58017 79624\n54969 54976\n14829 96829\n8935 14094\n4219 95413\n11326 81350\n2230 54191\n20567 22511\n62965 90388\n13023 84221\n11662 33233\n97101 98068\n73805 80272\n6518 52059\n62171 67809\n2479 60633\n22937 41174\n635 2560\n49282 63301\n17078 82967\n53469 53471\n1399 25509\n83922 86164\n37679 52536\n21578 57978\n14139 25666\n87454 94357\n70274 90216\n36484 81421\n17013 74210\n45054 97323\n16833 78482\n15741 16920\n15789 47583\n60479 72123\n30278 84417\n30662 74251\n35411 87968\n90710 91300\n11492 43365\n36829 46699\n36891 53577\n46996 87156\n26279 83831\n37303 67800\n8732 60271\n6957 42491\n21051 68904\n61914 75027\n5757 26999\n15830 27327\n2579 51281\n38803 94127\n34808 57054\n31849 58561\n27382 66493\n55314 78664\n82256 97004\n18481 52970\n1312 83213\n42364 59997\n21335 73316\n55709 72400\n33688 72571\n68755 77046\n85983 89458\n19027 89888\n35271 79849\n19860 48954\n61186 98646\n66893 67514\n2027 97928\n61627 82418\n19034 85329\n63375 78090\n23759 43424\n57690 87309\n31794 98308\n19088 94392\n79008 79169\n31147 60091\n24874 34496\n17037 29999\n16123 42645\n61491 94264\n20937 42488\n27975 64622\n23982 79199\n12210 99837\n7260 42397\n34693 42294\n48064 83968\n25698 78622\n8248 19525\n25632 68754\n9280 79387\n8466 91484\n48313 84327\n27097 88378\n25372 60820\n19460 53511\n33556 75477\n44928 51903\n69 23506\n3417 90365\n14166 20728\n20050 44458\n61236 83460\n62712 81575\n26318 87017\n16366 58938\n68302 92384\n3181 83117\n23626 95711\n9075 11814\n66651 68956\n16598 69499\n31015 57267\n5498 24547\n35724 51748\n8081 67636\n35470 46375\n43897 73273\n54093 67094\n40078 60127\n7419 9416\n63305 69217\n45160 93766\n45020 62573\n54288 83255\n19858 63287\n51458 67842\n44978 89346\n6682 9819\n85845 99956\n49290 86407\n86468 89326\n29952 57637\n30 18310\n35898 65966\n95415 98024\n59964 97634\n55854 72022\n56957 69220\n7584 93867\n25726 69195\n16416 35162\n54917 61409\n58698 86480\n54444 55521\n3455 93739\n72502 87815\n21034 44042\n17000 34587\n20024 49154\n66824 82341\n37543 69167\n35809 71635\n11904 75220\n44567 45513\n47337 54422\n12697 93872\n28848 85063\n67480 76156\n11058 52617\n46278 64476\n23209 47105\n3882 96492\n90847 92025\n58670 92146\n2240 61593\n9554 63530\n24658 43733\n36475 41937\n44099 65095\n1889 42426\n13256 72865\n55240 69047\n25085 48143\n25838 57142\n2777 47050\n1281 53195\n14640 51439\n7104 62935\n79140 88712\n942 81133\n46124 58875\n41395 81376\n17005 71368\n30425 42276\n66317 81864\n24627 47849\n17437 54487\n13685 64336\n24512 77651\n46079 75956\n20721 35004\n14422 43793\n18156 56793\n10039 57446\n21612 70622\n18245 85498\n68277 77687\n10959 62892\n13510 39559\n37582 76826\n4780 53220\n60451 82427\n15152 74987\n6921 73077\n21397 36564\n87623 94524\n56786 62424\n40371 47587\n1666 21057\n74166 88653\n69223 98518\n27617 45109\n50180 57542\n42920 65719\n18858 23287\n19192 60187\n26686 40446\n57097 88190\n15677 85320\n34540 82817\n68675 69397\n1437 69723\n151 11540\n54007 94263\n41779 51495\n21834 22579\n52857 88082\n1141 44159\n70038 77330\n76186 88466\n89756 97313\n18073 76201\n31099 37300\n23768 36997\n76449 88843\n9699 17627\n68850 70024\n60398 74962\n49048 92210\n15427 19998\n5792 16252\n5529 21323\n84731 99238\n2870 36641\n37020 97100\n46964 89273\n62168 69932\n23082 26290\n26709 36865\n23339 74288\n39764 94528\n5440 30291\n60167 68734\n43607 48145\n16458 94503\n32104 74312\n21330 40887\n80979 87702\n12101 14374\n51129 51530\n26624 56618\n22051 42332\n77379 80547\n79170 81592\n66850 74365\n408 30885\n22085 98106\n71591 80306\n72097 76752\n66865 91735\n9978 32117\n7213 78203\n12737 39343\n70289 90542\n78195 99088\n55293 90247\n78404 81898\n77235 77969\n18991 59906\n14786 77369\n56214 63640\n43162 49440\n12861 95645\n32883 69276\n35997 60201\n30743 51652\n56104 97077\n53780 73064\n52322 53714\n4317 75574\n39793 93788\n22446 96119\n31567 68055\n48301 72505\n42722 64740\n36441 78149\n41305 50562\n78 7128\n79183 95016\n10439 71529\n65888 76961\n45081 81407\n83398 92944\n77308 91117\n26253 41681\n49904 93109\n45126 98875\n32106 59359\n2327 52183\n20013 50050\n14708 80732\n31938 53992\n10065 97105\n30260 35840\n61102 95730\n43626 76796\n15871 25913\n31538 95363\n23992 55086\n53821 66457\n15168 22448\n14680 53521\n59896 85723\n17599 57913\n6202 10108\n26996 73649\n68899 85029\n22887 76967\n8283 35461\n49702 96016\n28551 66600\n8275 33492\n14694 46526\n23942 72612\n35927 61052\n79023 79117\n81788 95685\n59474 83009\n1358 37858\n25566 56601\n22873 85818\n21969 62462\n39291 89627\n5978 45702\n27589 45424\n23466 33972\n55468 65165\n8495 51530\n42116 65125\n24754 60531\n78129 91611\n30367 80229\n75037 81614\n79061 91892\n11545 23796\n22013 37331\n35521 36898\n69881 99690\n63105 63226\n6188 82106\n911 74583\n68000 77237\n63970 88322\n43520 94041\n18523 31445\n69636 98984\n30543 55248\n64234 74189\n51328 90920\n11152 21661\n30408 36882\n44192 80645\n12946 25118\n3579 17574\n28467 53270\n7530 77481\n446 48896\n95856 99877\n17484 55664\n50552 69467\n13755 54281\n33433 47645\n58409 85344\n32589 59492\n26784 83856\n4308 26384\n89309 95192\n53442 74908\n42469 57839\n39201 92124\n15709 55320\n5497 23692\n2031 8620\n19725 48522\n67356 78797\n39613 70293\n88433 92428\n89002 93757\n63059 80681\n53291 92966\n2432 50193\n29753 55798\n26860 97573\n2008 74429\n19671 85783\n31206 63672\n6437 66620\n28222 88837\n48654 74023\n20220 38107\n3852 24284\n2801 55840\n55153 71734\n9808 87099\n11041 54874\n41239 77136\n69484 96468\n45363 78713\n35659 92372\n15652 81051\n21786 50548\n55799 73920\n23067 94719\n44081 85482\n21686 65698\n57239 91039\n42177 68106\n34755 81524\n1245 14071\n35349 48536\n10120 77030\n32472 55867\n21612 33909\n7344 79466\n51978 60407\n2190 90070\n60009 74063\n49620 56353\n18327 68681\n2398 77508\n77219 87554\n59057 87293\n1543 86789\n20830 27486\n72529 73130\n17876 47023\n3071 24512\n51671 95257\n11148 86581\n47096 68444\n17943 74199\n21591 66293\n21567 74014\n24931 49533\n4591 23564\n46479 53203\n8188 23387\n56213 65564\n14653 85277\n49367 67215\n760 49432\n23338 97670\n74004 89284\n12311 90998\n74951 83179\n50865 74057\n8278 78699\n82674 98219\n6923 7521\n68315 93377\n26626 51119\n3713 44633\n59262 70479\n97228 99322\n37737 56232\n80537 81281\n46029 81438\n32003 59136\n36230 88700\n52285 87651\n26950 96957\n52623 87393\n66912 71615\n10003 13910\n87064 93819\n942 11213\n53406 95726\n24607 45284\n7343 35249\n30683 92519\n52287 88411\n19514 83341\n42027 53731\n15664 35194\n35173 68132\n42259 44491\n53353 63479\n46437 49810\n70609 73583\n80853 87223\n12759 93535\n23709 46358\n91263 95773\n61507 98858\n52285 66858\n72238 97490\n56917 89115\n8406 25893\n2876 94700\n68061 93806\n13487 99335\n68844 93137\n63103 98837\n2267 53095\n71615 88661\n6407 54723\n11014 22441\n15560 19283\n24304 55539\n40524 75496\n16663 98245\n36923 83492\n64084 93290\n23820 75296\n46910 81329\n38564 85820\n28448 58443\n2544 14961\n1904 96705\n40105 92508\n15000 70054\n46138 81490\n69525 88524\n16654 42643\n35353 44271\n32983 40797\n74567 92407\n3752 86562\n57419 89700\n7616 43653\n11248 19447\n15611 63838\n5432 50720\n74902 85946\n33545 48705\n55821 61846\n44937 94207\n17419 52965\n7506 53927\n40386 88168\n9367 41615\n7113 20975\n96771 99587\n22874 51545\n6286 37815\n9354 49547\n11599 19376\n26060 73206\n21815 57641\n8900 47483\n3020 54225\n193 91630\n6402 22987\n4694 71786\n2867 47354\n9859 90434\n23537 69841\n18553 45675\n6642 54682\n25466 68335\n48828 54674\n8971 60070\n43576 89878\n43513 88531\n32897 80824\n77895 84484\n28992 79248\n45388 77645\n66776 95492\n42806 60485\n35069 56537\n46062 71653\n59877 99492\n11544 49476\n8101 73722\n55356 63448\n27773 72225\n46086 87506\n56748 92116\n31070 75875\n1223 29781\n44364 52307\n10047 83816\n33844 65825\n24554 53292\n36247 44435\n18153 56634\n89023 92142\n77270 96970\n4019 78914\n61857 79257\n28898 62948\n82815 94403\n11746 62134\n2696 38241\n10977 30422\n2376 13549\n9388 52152\n33581 42184\n88469 89881\n19531 25782\n2030 23846\n29602 67770\n14315 37812\n47657 64011\n20594 77253\n13432 46028\n81511 98677\n4136 40583\n22862 34009\n2244 47276\n11449 84379\n30473 42879\n81341 88767\n37960 98056\n14453 52438\n44486 64393\n90920 91683\n72934 91947\n19091 41584\n78118 86190\n35836 60859\n69413 97245\n8715 18225\n21288 97603\n50157 59206\n38320 80303\n88650 97947\n28100 43209\n33779 67274\n10255 54823\n28158 88423\n449 30666\n44015 55821\n64571 71395\n9143 30261\n36833 59178\n20726 57525\n14870 32876\n64930 88487\n42784 56319\n18016 99512\n59109 82656\n9674 20566\n66185 75187\n21039 82725\n25766 40614\n5856 74771\n74789 88738\n74406 76374\n556 95827\n36745 73443\n70858 78351\n34567 77797\n1319 69361\n40440 53024\n44856 72286\n54807 72640\n52921 90255\n27780 74856\n69836 95672\n16267 94042\n6362 14512\n1804 16634\n12197 34549\n28005 50371\n36383 62104\n55020 90220\n4009 50206\n55220 80760\n17553 72766\n13838 92183\n21153 75832\n34786 89770\n22504 62978\n15130 51610\n79632 91444\n57998 73618\n30525 97488\n24528 70989\n16140 33999\n3860 76229\n7048 52247\n31971 82977\n1470 25627\n72259 91535\n38407 68570\n10479 33636\n36156 72310\n32948 93999\n11163 70988\n40990 80293\n45618 97413\n35843 47937\n46926 85104\n46656 88137\n16163 90639\n31606 67930\n13383 82466\n22151 97086\n37494 58364\n36791 99085\n22696 96830\n29182 79249\n240 9112\n25050 51562\n9518 45775\n47122 52083\n78038 84591\n81878 93220\n81 16024\n17215 33597\n29531 69711\n37249 81699\n38840 83898\n21974 28499\n21964 62239\n19418 26108\n40886 55154\n25178 50742\n27713 76903\n15008 41814\n39491 65536\n21473 79387\n12733 20357\n54874 72678\n58664 75022\n11641 88374\n10197 16423\n64959 81522\n45874 73010\n20334 93139\n28904 46632\n63729 90649\n89846 95892\n176 47046\n4721 75612\n10693 22923\n33156 82881\n6335 13819\n82118 84091\n3386 72895\n8634 42687\n26769 70492\n58281 75276\n26294 31411\n47591 71826\n25146 49306\n2799 43073\n84163 86278\n47835 85080\n17759 32866\n88816 91908\n42620 58084\n34026 77290\n79033 88209\n64711 99212\n16937 51493\n10197 11299\n6871 81368\n62283 94302\n47635 89530\n54211 90010\n33881 74768\n21414 52051\n65102 77383\n6508 91518\n84376 98049\n12746 26300\n17758 53144\n4585 50933\n38815 82626\n28270 59454\n57775 71608\n51288 90177\n29356 30315\n37070 47144\n36289 51603\n414 89288\n48245 95877\n45481 92942\n37274 77311\n37154 59394\n72480 76492\n20407 68447\n8840 52537\n67544 83919\n47724 74317\n26936 89353\n6753 39945\n65845 93128\n7816 99074\n13638 25662\n53028 89571\n72388 85356\n67078 71991\n14373 15063\n24457 44412\n13013 45738\n949 70401\n46383 66122\n6512 85143\n77415 83681\n6848 41909\n17138 25542\n17123 34288\n13146 33642\n47570 65997\n45158 90800\n53107 66635\n31232 68994\n8056 16958\n19829 52197\n30239 34378\n9076 65559\n22644 93417\n22375 67228\n77303 92568\n89806 99207\n34397 69933\n1507 75360\n28050 52664\n21979 66402\n42975 48518\n69847 72352\n23354 56050\n14324 64162\n62016 69274\n58309 67100\n3102 39510\n21350 26571\n48504 97422\n5603 57545\n14446 30414\n38854 78902\n18758 86450\n14209 98954\n78521 82918\n54264 84868\n14343 73373\n18831 51286\n22366 64075\n47626 58788\n87435 97777\n40510 55970\n62774 75697\n17237 87519\n38782 63833\n56291 83213\n23412 98663\n6847 53171\n66469 76002\n57031 70133\n38685 92845\n29664 87080\n28082 43287\n2766 38123\n56162 93514\n53666 82030\n12517 21911\n4286 95600\n37286 38699\n35 19080\n52279 75356\n61486 77547\n38198 66553\n16682 79595\n3092 45376\n13368 39015\n5464 48888\n75632 80441\n34009 64129\n46208 55382\n78832 93813\n43178 86018\n57754 64578\n997 33888\n44329 86167\n47818 62375\n268 80365\n94418 98358\n73734 77027\n72782 77322\n49161 94103\n11978 30233\n33047 45670\n38483 69659\n29423 38061\n33818 62728\n5178 8624\n44967 56356\n63602 68522\n37901 47790\n54619 62608\n5116 5345\n7152 65179\n39042 96779\n1516 28572\n62916 85346\n19039 32383\n8269 92221\n1163 81463\n55272 58535\n83623 83711\n34303 85767\n54489 87611\n6398 74950\n17205 88016\n67046 82028\n55923 60404\n52565 82860\n11882 32036\n20477 29256\n60622 98001\n54100 78448\n46395 64838\n62678 67584\n37864 45305\n28900 64313\n46387 74046\n3218 3754\n57001 72414\n48170 68663\n75551 93768\n2834 80669\n44943 72997\n45424 81362\n11707 91625\n49178 61269\n773 47342\n27235 84912\n21321 75616\n52417 52762\n84613 94782\n63491 96780\n45286 88045\n63333 94940\n8756 78835\n22227 32015\n10023 62717\n12976 20589\n53391 89244\n63058 81724\n84350 94833\n45888 98383\n23482 36721\n54883 99210\n12802 43261\n34910 81740\n77410 81284\n30373 57211\n22037 33359\n66662 68615\n12953 75011\n37868 85775\n15686 38323\n7883 14011\n46892 67430\n33155 36729\n28910 50147\n19531 78318\n21258 75087\n11310 84575\n65532 70909\n30596 42972\n12949 96111\n54847 58454\n9282 48065\n35126 74959\n78475 80158\n2868 94923\n93756 94360\n31500 44460\n22466 71977\n31406 58018\n92457 99762\n62623 76901\n13279 85205\n43910 86507\n11967 72132\n38664 47906\n6955 63631\n32666 88208\n16443 74172\n61748 62376\n67602 72435\n47846 80647\n6096 13322\n6355 85198\n20246 22211\n43292 84873\n37814 55595\n24552 37176\n17012 40119\n69324 80840\n10662 45567\n46004 58485\n7855 96925\n2088 56762\n5039 17276\n54513 66281\n5676 94792\n50355 70744\n36855 82632\n24241 46903\n37758 49592\n78428 88170\n72572 90235\n22754 62570\n350 23213\n21506 44506\n80410 96091\n50049 58601\n7040 45733\n39461 67747\n24001 30000\n1772 46324\n1348 46383\n44613 45275\n7134 97095\n27423 99797\n21750 67596\n55247 94089\n43063 82866\n37452 75171\n2648 55847\n28909 68476\n17227 56173\n43484 57914\n33052 91218\n12414 30061\n1625 36002\n12672 26761\n41820 71841\n23979 27648\n27754 64818\n2182 21637\n71966 82821\n18303 46984\n2932 39615\n63589 68054\n46894 97563\n65098 94849\n82846 94334\n6444 53816\n53612 68705\n3992 5503\n31404 51001\n5385 44630\n45461 80690\n37821 38765\n39250 82269\n30191 79173\n24598 80710\n10606 37106\n31557 65053\n52565 80059\n30005 80027\n74165 80074\n43144 66351\n23368 31402\n80807 82736\n27734 37756\n14839 34538\n40841 45753\n43315 43321\n25595 69182\n71217 71529\n3184 55779\n3397 83975\n46667 87690\n1099 67531\n24170 77976\n51028 53765\n21267 52986\n18662 73833\n84046 87729\n93884 94893\n16186 18911\n10418 97524\n1324 24686\n11585 47429\n35591 40507\n10306 34503\n49660 58280\n7681 17708\n6741 53506\n3606 74786\n44179 99600\n46746 50795\n24975 46923\n63124 65998\n18353 28072\n34713 54453\n12716 42133\n13229 65452\n14114 62406\n54002 80583\n7559 28647\n62643 99942\n8564 28560\n17637 35848\n48290 78490\n12317 45790\n35905 68809\n15456 63076\n42878 94657\n77685 91505\n31271 57769\n4225 80118\n41698 66096\n1000 64610\n11977 45582\n58432 66036\n86994 96099\n1640 99818\n11462 73061\n42044 77008\n10626 75193\n6863 31687\n20794 69249\n31298 54388\n14959 44083\n70344 99415\n28199 64840\n14490 44337\n3646 93126\n78220 86879\n56995 66289\n32708 62546\n43186 68301\n39864 83621\n37969 40457\n48850 56127\n77147 83372\n34676 36385\n49130 89313\n53880 85548\n12780 30095\n20715 26031\n10251 61221\n41220 57712\n9504 29956\n7810 95426\n897 70731\n69754 92230\n4443 70589\n9389 59522\n43743 71254\n39945 74639\n73075 89605\n42950 68868\n5364 20386\n16755 22679\n40431 81167\n43807 48746\n6391 70633\n57143 82545\n7684 9763\n46668 53850\n3978 88810\n88164 98463\n39958 86601\n42991 62197\n52602 97117\n3056 81655\n12279 92441\n59262 66838\n15540 17423\n7813 40013\n38095 78268\n46279 98057\n14237 19244\n47706 99239\n7599 10785\n10944 72354\n63842 83901\n17274 91815\n49791 73827\n36993 47934\n63448 81789\n72361 87977\n17030 18544\n28530 46484\n28890 65899\n74950 99399\n34257 62356\n10851 35398\n39508 73249\n59089 83070\n4537 16200\n19391 28820\n32051 73823\n21264 62130\n15848 30866\n2560 9712\n39938 96399\n21344 46950\n58341 92212\n41086 80232\n58521 67264\n52940 99681\n34372 52397\n7317 82253\n6999 22595\n36782 62475\n32455 38411\n20789 21372\n12031 81596\n52471 96613\n53020 87201\n90 22921\n11515 23787\n6542 8965\n628 4678\n17932 44188\n38870 39863\n15917 67536\n16084 83824\n31077 96357\n56466 84289\n35760 88196\n65184 78097\n59032 87806\n14561 78620\n27156 84463\n52075 58075\n56459 73312\n8363 89061\n3800 85997\n29254 91387\n7753 52602\n51873 98502\n9033 33582\n69727 71496\n45800 58065\n7990 32695\n22747 97677\n2365 78785\n34148 84729\n43944 85993\n20014 54715\n16649 28757\n8752 61265\n60291 79601\n31377 36216\n10988 80475\n45685 47432\n23098 47179\n3989 55721\n8825 57750\n39926 84217\n67291 72158\n66111 70947\n12128 91172\n9341 95848\n54585 93894\n38835 77962\n943 93785\n4149 61131\n31642 43768\n2575 48797\n56050 96357\n52501 68243\n30727 81851\n30389 40305\n30075 74556\n45415 50033\n5762 44443\n4224 83272\n47520 65906\n90331 98532\n3343 45637\n3823 12558\n20267 42881\n34053 73483\n24823 67936\n25030 80613\n20123 55724\n20278 47623\n49115 70891\n88505 90179\n56758 80971\n49280 55858\n76477 86767\n237 52759\n48337 94391\n73559 87402\n37753 60571\n21123 71488\n13248 69877\n56411 91573\n27746 38079\n25438 90513\n50854 94907\n46790 67368\n28876 62968\n47825 86269\n47115 96658\n59042 82899\n17321 70414\n50363 68699\n2335 95939\n16896 59399\n14456 58885\n92363 96068\n47308 70781\n54960 83495\n27239 64641\n12513 12805\n47223 58760\n64859 99403\n9882 50428\n95528 96258\n9202 68341\n27696 76739\n5813 77608\n46963 79195\n11215 56676\n61400 98337\n14919 52385\n27426 36399\n88675 93467\n61715 96381\n2640 30809\n41641 49395\n32018 83909\n28705 97422\n53014 88171\n27719 54607\n6355 38290\n14211 96983\n34534 76624\n6158 47510\n32553 59208\n20975 91883\n59149 80809\n1308 63923\n64918 96908\n32882 57706\n57573 73865\n83799 96859\n42881 86017\n43508 50071\n13401 76936\n76471 90544\n48820 50011\n27446 43980\n40348 62649\n43447 45915\n14067 89463\n30725 35748\n15266 94843\n70679 97499\n36630 87205\n5472 7635\n74787 88950\n9108 76415\n7679 44806\n22422 34840\n31348 39780\n56439 79795\n40267 57496\n35806 94456\n66526 87104\n39672 62448\n29574 32813\n26713 99159\n14622 61515\n33261 34504\n28926 52522\n19878 70662\n71393 71480\n55330 88002\n50906 91114\n79002 89092\n12511 16005\n7886 21507\n33337 76510\n38218 95124\n44893 96124\n36418 94046\n67154 98529\n1948 65166\n79477 85435\n5089 73009\n52976 85051\n47984 51509\n45761 79737\n20886 82211\n39153 95007\n6758 16577\n9065 54931\n26277 63683\n17293 44553\n24224 71840\n26691 36356\n66676 94495\n1397 8233\n64485 96177\n61157 97438\n4793 19200\n23 89673\n17158 58088\n1630 77041\n19445 83149\n6404 34231\n14692 60000\n21742 24945\n67728 76309\n1713 94470\n8537 55894\n1393 3092\n58295 85309\n72357 96813\n45804 86280\n31904 49163\n21528 74316\n20359 60106\n37438 78285\n1995 65399\n4461 19976\n27173 74751\n70323 83990\n23442 82936\n546 87475\n13073 85437\n1469 4836\n5277 15685\n14678 31169\n11010 55120\n77335 90933\n61337 64114\n52283 74790\n15126 87333\n10080 72035\n74529 80047\n61609 79125\n27708 52983\n6791 79176\n34795 64913\n4830 24646\n12085 41013\n13406 65478\n9340 40694\n26387 54261\n6027 25385\n31075 57897\n47294 59174\n8397 65256\n40699 45489\n40339 73752\n84113 95703\n61902 87273\n6666 7612\n16458 42912\n340 78211\n167 76547\n28980 60841\n68879 69661\n24564 90392\n10175 11878\n47180 61539\n80513 84524\n4366 11704\n28997 79372\n41324 97334\n26429 68445\n48431 96131\n29716 83398\n45472 65657\n44186 50682\n19227 77554\n16105 25528\n45716 67815\n44921 92806\n13858 56010\n28787 34386\n33706 55428\n81920 94847\n10259 11637\n29950 87101\n38534 64036\n63492 87059\n26803 30848\n2070 29379\n32472 43868\n65515 89061\n2809 13987\n95541 96358\n40768 98868\n2451 82438\n96990 99691\n65394 80842\n14452 72181\n2665 7934\n19104 99158\n28356 50372\n71145 92555\n45385 49676\n8647 37531\n19899 90938\n85161 86733\n30507 89367\n26981 34793\n58244 70679\n284 96004\n8144 84456\n8838 53208\n20503 74603\n46074 54834\n33612 87613\n34692 48350\n4072 16242\n70262 81681\n83506 87578\n2153 24461\n15417 67386\n19062 33040\n10556 34897\n3874 21407\n70274 79729\n33138 63902\n15687 17754\n30274 58147\n74968 83664\n31757 59033\n5596 38091\n18469 87154\n27282 99955\n10257 16645\n11368 36449\n58138 85859\n11573 82715\n23051 96410\n49588 58706\n52210 71874\n55868 81253\n16876 34890\n2426 51129\n1888 65962\n22863 46071\n20684 33673\n47969 70407\n5494 26302\n36832 77242\n2057 59058\n48044 96282\n65974 67912\n27480 69402\n56876 67637\n53449 68371\n42501 68034\n12021 36656\n13562 67433\n38846 49628\n26396 97205\n33035 67919\n54079 87210\n2046 57471\n82633 98280\n3769 79531\n36348 44237\n20081 76169\n21524 39597\n46320 66951\n54268 80081\n30107 70336\n35292 90444\n15436 54990\n15884 80796\n28684 44774\n87052 91088\n24067 73343\n64944 97479\n39733 84441\n12376 65488\n40030 85522\n23206 85298\n64302 77259\n45380 79759\n31658 99263\n61507 63951\n31218 97451\n50226 63351\n29778 93103\n3717 44887\n49564 97684\n2368 58004\n11805 38217\n70718 90081\n41165 61292\n12521 88105\n1390 59742\n53294 69803\n45478 62025\n11762 56650\n52835 82947\n56005 61136\n1968 2380\n3691 74233\n34978 97177\n6992 71842\n9446 38922\n8441 28472\n5108 56532\n18873 44539\n9405 37197\n493 93896\n90047 99940\n66455 77788\n60965 76194\n13310 67635\n95551 99962\n4887 11485\n31788 77913\n10178 98466\n4752 25617\n55489 89904\n51005 94977\n43486 70971\n15054 38186\n52247 57908\n31486 82177\n63672 68684\n14063 27145\n48014 90212\n48297 62882\n24168 99609\n23202 98850\n32166 77772\n41452 48663\n15091 58919\n51028 66749\n31443 96670\n17700 78093\n30030 30498\n23014 27010\n31256 85902\n80539 99180\n29551 44529\n60314 63940\n18864 51175\n60524 92795\n12037 83038\n21437 52688\n61127 77039\n18459 23260\n16226 40321\n11369 47866\n86432 93113\n11065 17419\n740 28511\n6469 69301\n9167 71113\n32077 91828\n26134 49281\n48385 58713\n4652 31689\n13170 19268\n24526 91383\n7573 82671\n20340 80968\n27558 65018\n50610 96889\n23417 91836\n17452 95628\n28284 46034\n316 15401\n23771 69749\n52747 55978\n24449 60364\n40358 96691\n35439 66745\n24400 40195\n79590 95326\n14902 98052\n36155 46027\n39764 44690\n47041 61707\n27697 57484\n23489 83498\n57857 82131\n86937 91294\n52833 62968\n52359 91594\n76841 92155\n13206 70014\n14123 62132\n3003 37427\n24281 86263\n10914 13690\n21550 97871\n48457 97751\n48716 79750\n43296 76990\n549 95995\n67819 78741\n61991 87105\n20395 99784\n57049 83388\n62637 83685\n22960 31231\n2729 57394\n17509 97420\n56647 95328\n23158 69341\n624 34284\n58216 63924\n38989 86276\n25463 58949\n71844 79668\n36115 44096\n23233 58119\n39821 93777\n25202 83220\n3434 72002\n799 60001\n22346 91733\n11098 28399\n92635 92993\n38670 43769\n397 33721\n38837 95573\n3437 62973\n22815 39400\n19229 33080\n14153 22211\n52705 98137\n68074 76889\n52766 93251\n969 76447\n14676 36430\n6395 62418\n5283 41297\n56045 80666\n49165 60610\n59486 94039\n43 28596\n30554 66786\n19320 69375\n35437 96852\n64933 95309\n46206 92848\n69061 95272\n19998 53731\n5784 49582\n37268 49257\n44946 52959\n4724 32507\n5290 32623\n49516 82132\n18916 20539\n25415 82113\n5253 30030\n35281 57382\n20366 76100\n74941 77517\n16387 96475\n22635 75852\n36488 56357\n49186 85573\n20855 43691\n15924 71490\n11026 93077\n62958 73819\n7235 56114\n26818 77818\n2960 48217\n37593 88194\n18797 27903\n86161 91557\n22111 58621\n22162 53402\n76951 86243\n12107 26937\n70714 75734\n1741 56960\n8943 13075\n32533 87051\n7456 69536\n53658 85314\n49825 83943\n40689 48171\n41167 98449\n45391 64101\n26237 70299\n55744 56545\n33334 37939\n14518 97789\n6173 82690\n48781 68765\n13138 70253\n45202 46185\n40873 59454\n275 83294\n9362 11563\n36675 52905\n69271 85180\n64495 81894\n57201 58813\n2104 88010\n69770 91761\n58614 86168\n47693 74970\n10365 13880\n40033 68685\n43547 93397\n1458 32839\n29269 76172\n59024 81988\n53778 65972\n22791 95634\n5472 32976\n19012 92057\n31354 98525\n898 60356\n34532 65017\n19299 24875\n51942 88344\n26296 29160\n18544 50401\n44393 56883\n44471 98484\n28236 48718\n22680 71916\n866 20632\n81131 84986\n53357 83754\n52098 88831\n2372 82666\n68251 98658\n15627 46304\n8934 35617\n30102 86922\n24730 64455\n21069 45907\n3732 31256\n43287 84631\n3988 73286\n68586 86705\n48720 71228\n62721 96268\n49305 84219\n58775 60923\n43161 46930\n11052 46800\n29932 45432\n38137 79391\n41345 68731\n13421 60727\n15492 19701\n38660 63117\n75286 83751\n29305 46294\n19877 73801\n23945 39107\n19146 69818\n29380 41495\n37113 69132\n28786 71819\n32753 75741\n34568 43198\n33692 40814\n2045 30415\n12116 88827\n44084 76990\n2354 41193\n48666 72443\n85184 92365\n46167 78245\n65056 72876\n15293 40567\n30088 70585\n4530 82067\n56546 64064\n18479 29584\n67690 83704\n22241 81986\n42749 67128\n72992 84215\n32514 71922\n12979 76089\n19404 64617\n74463 92528\n49603 72095\n62375 62984\n13921 90242\n49320 62204\n75633 93606\n49994 94671\n62831 91184\n45971 66803\n96085 97082\n44431 53602\n16775 81320\n70519 90695\n173 34931\n25232 34680\n4975 24296\n54307 88098\n17965 98029\n4883 89425\n29655 54935\n74104 99254\n30892 59014\n42267 59624\n47179 65158\n61376 81779\n16860 89007\n60140 62956\n4211 81884\n46304 58998\n30256 54359\n40993 60898\n13228 34728\n45059 55217\n5218 98013\n2774 14727\n5839 6729\n1183 38939\n60482 98324\n18089 80938\n70468 82007\n48138 55225\n7823 78338\n53056 76522\n16018 63615\n9051 61391\n50710 58226\n77685 78966\n20778 82904\n3256 20084\n14094 34030\n60693 91208\n4404 41434\n63707 86205\n4010 44738\n1328 15747\n72094 91013\n30286 79055\n8198 55522\n39919 95495\n52044 99829\n30093 67789\n34720 66546\n58793 69886\n44501 89772\n4503 9116\n62885 80805\n49460 49830\n28542 59924\n19921 71089\n6823 27350\n7781 31028\n84589 88484\n58763 74173\n93879 94480\n37491 83645\n14487 38904\n2679 57735\n57001 82773\n24644 42961\n90740 95952\n60699 87002\n20365 66582\n7537 66380\n54309 62433\n40 89114\n34334 72584\n65467 88645\n26585 63554\n55936 61650\n25751 65612\n36167 87131\n12522 47572\n22121 24649\n59987 95554\n67730 70177\n21113 68353\n43686 67127\n31559 98877\n32829 49276\n82221 85737\n63160 67514\n22462 96413\n72987 99911\n62167 64689\n39166 73183\n66848 68089\n783 30970\n179 43298\n88510 89097\n20659 95875\n42026 99468\n5001 97100\n31267 32461\n10658 34982\n30741 62611\n13466 31484\n28875 71817\n27845 33715\n7028 12760\n76056 86017\n7012 25413\n27274 33819\n18885 41256\n53907 69899\n18940 90698\n56750 63364\n941 49940\n73975 85809\n18044 74360\n23424 51834\n32931 99391\n12766 58507\n1997 26210\n16095 71532\n20077 84151\n33733 78157\n788 65016\n80705 92141\n74421 77849\n20596 55976\n12249 71838\n35837 46379\n22919 66590\n62378 74595\n414 50941\n17850 40983\n35586 56274\n8409 63701\n46988 67846\n37498 88377\n34972 42059\n17790 99364\n52755 55602\n2959 74824\n8997 21289\n23677 35510\n38871 54141\n14708 19224\n35016 47234\n5010 52050\n94056 99050\n42849 46836\n10954 19223\n54417 81330\n42565 76740\n32015 33302\n73835 76057\n5070 70904\n71580 95286\n87072 93349\n46996 89971\n18136 43389\n7298 98996\n50967 93307\n48956 62343\n34957 59071\n33473 67080\n72442 96238\n45711 53967\n23275 97395\n21056 71133\n8268 43558\n40544 65909\n1901 65551\n17302 83943\n23455 80802\n576 97588\n28395 54166\n61249 77230\n16475 43927\n4994 83951\n19039 91090\n14505 94895\n9121 33787\n7794 13825\n61261 62286\n26523 75858\n12839 23113\n15487 62682\n48248 52720\n20253 27540\n42396 94777\n54258 69939\n24968 70244\n48972 86836\n11299 94989\n21187 66328\n20716 83989\n4660 41819\n5187 50004\n6049 75221\n8885 66090\n31229 61304\n5935 13083\n9591 43681\n12766 43576\n10924 87077\n2472 82755\n12987 69137\n8311 13350\n64290 83159\n24016 57217\n57505 90008\n19336 85928\n18669 83435\n51417 83045\n27514 66569\n91367 94562\n4667 72200\n55706 83832\n35939 65965\n35091 75886\n33013 79437\n57714 83480\n31382 91245\n25972 80278\n11182 11907\n25900 73393\n61034 93519\n49231 99493\n10116 62813\n81768 84623\n18133 95279\n7980 32881\n56857 87045\n10357 45782\n44456 80669\n45242 57768\n17795 38109\n11848 64161\n17109 94657\n74390 82197\n61574 81527\n3124 47477\n43998 46266\n4749 55897\n90469 97304\n9488 93040\n36985 41688\n48362 50344\n40862 65801\n6723 64531\n427 50653\n63771 83918\n17344 51097\n4964 64658\n41495 76379\n31065 53162\n3627 24954\n37898 53473\n41461 60608\n26425 82193\n27084 42237\n59428 88740\n5730 53097\n41563 84876\n72327 88967\n9421 70339\n24112 34624\n80550 99051\n52183 87778\n35500 87950\n14695 48110\n61513 68600\n58650 94870\n2135 30564\n445 61433\n75484 77603\n35016 71248\n1858 49443\n18781 95257\n9259 84754\n9716 70934\n82596 98419\n4748 87887\n23405 81212\n56005 62714\n25343 41051\n84 20392\n25253 85697\n40830 71681\n15234 17013\n33319 54500\n3048 87584\n31153 35439\n27749 89828\n17141 20659\n18982 67191\n2511 79280\n8451 55792\n51188 55674\n8555 69564\n8275 18760\n17080 62664\n81382 99676\n75070 93528\n9643 87036\n30589 70735\n57294 91428\n47507 87470\n44950 71536\n21722 83980\n7569 86173\n2756 77776\n11685 82771\n19880 57451\n52794 62541\n23522 67323\n5285 54172\n6454 85893\n68770 76387\n59069 82708\n39671 70701\n11912 61529\n33982 45231\n35628 48469\n21983 32342\n31988 76365\n20699 35165\n1223 76561\n10011 13479\n31991 94450\n3631 55488\n59148 66339\n25842 28836\n10375 75712\n68418 68659\n858 47264\n46801 72335\n26034 31651\n66796 71928\n27643 60350\n4680 7292\n24968 58357\n1272 50233\n33490 81873\n17352 89374\n41209 85105\n7124 62673\n67689 89202\n13389 86010\n41618 47368\n4806 45502\n48486 76482\n72129 80621\n3054 94169\n48377 64346\n88977 95133\n44881 92497\n29818 88152\n29519 32809\n58153 60385\n4610 35093\n20966 94869\n23954 29053\n17733 44041\n40415 95177\n56301 76285\n4400 61754\n30382 92212\n37640 41316\n20858 37422\n13065 39037\n15712 16165\n10706 53284\n35730 97629\n25202 89145\n18191 48923\n13485 98027\n51821 79705\n614 72496\n67827 93028\n6462 50247\n23075 27930\n44278 55829\n25721 95852\n2240 91780\n36406 63610\n73928 88361\n72162 89873\n23271 29251\n61072 78072\n12664 56649\n954 7209\n15584 77782\n37119 89194\n38151 75548\n22605 76075\n41724 67478\n17480 40871\n23662 73117\n70121 85296\n21657 39541\n45130 84921\n12708 48878\n16290 34963\n10986 23936\n53562 59704\n28711 73592\n67659 86326\n2486 61677\n17824 34601\n41509 69454\n58307 61765\n50593 68648\n26704 60810\n38043 90556\n732 71128\n30070 63976\n45583 47391\n14153 69027\n35800 44232\n33655 57615\n6371 11306\n27216 82361\n4168 5077\n15321 28831\n23910 26429\n9206 60740\n60593 97773\n2633 35134\n13529 82700\n64500 84575\n14185 33916\n38569 72950\n6422 10283\n29673 71921\n15536 63007\n61411 77728\n66711 95557\n19036 31346\n10869 49943\n81523 87661\n5650 79457\n64091 98325\n16148 64983\n430 74100\n45805 76858\n30800 31213\n8855 33054\n30667 34042\n86379 99632\n55079 59597\n94491 98125\n4798 60527\n1793 46541\n62176 74356\n51847 65505\n13099 87229\n63948 78152\n18419 60478\n29531 53488\n48255 97626\n85528 86614\n29560 55067\n40325 94444\n6557 36375\n26708 84937\n44203 94677\n50214 69588\n9028 19794\n15736 51701\n53341 94626\n87115 94290\n31447 73190\n10465 44505\n29835 65263\n39821 47360\n1463 57191\n13571 59092\n33572 66996\n24095 61715\n2874 41981\n83222 88726\n29621 31348\n95 60869\n26732 85867\n10047 40486\n45567 98657\n40064 78466\n33847 90625\n61142 96288\n15698 68473\n37854 57648\n65636 77595\n7334 64920\n38057 72802\n2667 42177\n25506 52533\n73047 79785\n35995 45192\n13105 61587\n39376 84618\n19999 96622\n99183 99561\n71692 88328\n21485 81734\n44276 92544\n58384 78740\n7932 17722\n70453 99195\n28682 52614\n57482 79102\n33686 78658\n20225 74181\n6471 59112\n65790 73537\n70069 90270\n38565 76253\n3639 69610\n9864 36163\n65422 75726\n24286 29368\n49711 92704\n2640 84990\n1909 15925\n10767 37094\n10503 64316\n67389 76942\n65182 95593\n3933 61760\n57933 73568\n85237 95314\n4814 17314\n27838 57342\n31859 38748\n9459 67371\n3387 11660\n32831 63094\n88994 99532\n44328 73814\n23707 88969\n16525 50990\n3501 36516\n45272 86683\n23144 88341\n30186 64723\n6084 58973\n23263 56897\n12649 49280\n26890 82813\n23285 86444\n21467 67866\n35206 47305\n53847 60063\n63488 72300\n53353 78835\n7200 86588\n53635 81147\n63364 90740\n3713 46954\n47794 49083\n28660 72099\n5903 9608\n30929 87961\n36061 39134\n25114 64840\n20695 98405\n22831 56343\n56779 69402\n544 18494\n5110 22319\n46781 91334\n70941 82475\n11738 71800\n62594 64849\n2418 30719\n8137 39046\n8399 36146\n41567 67285\n43108 73679\n24735 42537\n5312 29546\n52183 61553\n49788 75505\n5462 10446\n23780 86846\n25371 95894\n10651 30175\n86797 97558\n22529 75245\n11941 46309\n24313 60893\n35796 66781\n56716 83833\n17138 37733\n11507 69803\n57328 87051\n47999 72916\n27994 48291\n5180 52807\n39210 45753\n13073 18640\n60220 98516\n71730 91653\n44714 60717\n10007 21796\n27616 89938\n49236 70859\n44014 49410\n23476 27100\n89072 99714\n24459 45463\n4202 37498\n13572 82722\n7493 94563\n74473 91978\n81071 83257\n19924 90845\n5802 80289\n55945 93938\n1065 30587\n10465 13997\n9322 92660\n62099 84579\n14217 28491\n21459 32084\n63524 93980\n53737 92157\n58622 98684\n62405 87494\n62456 65463\n29649 91807\n2207 90429\n15577 98815\n36640 75323\n78650 79178\n2068 81911\n6714 30204\n28528 72471\n45250 80534\n23090 97790\n58717 75366\n48531 62574\n12624 76236\n27127 75333\n7799 29775\n8136 93734\n39889 45207\n61427 99404\n43603 44954\n7418 21715\n72356 76652\n42730 83545\n80832 84378\n1735 73247\n28568 66593\n49989 87818\n35497 93064\n31249 99289\n62404 66356\n3828 88538\n71399 73804\n31873 93531\n20216 46045\n20714 25377\n1567 1924\n51824 76431\n35917 79577\n29056 33941\n3333 94674\n20498 88328\n32042 53478\n16996 55902\n35695 55186\n5788 63866\n94103 98760\n8471 92716\n73558 89917\n15938 24097\n36213 95237\n32549 54340\n53804 86803\n47946 48842\n36054 86317\n30173 54135\n69845 90038\n24284 27297\n82766 93193\n60345 73877\n32579 75523\n12258 23849\n20847 89539\n61445 68349\n21132 82295\n53762 93994\n9167 26251\n46706 85209\n34248 56837\n72481 83728\n71709 80487\n39204 83956\n1182 77259\n28028 55816\n34110 58715\n91644 94859\n5797 52516\n23322 24927\n12980 65266\n34823 89662\n18095 54510\n68320 96216\n83444 86128\n1844 92859\n51872 98298\n53860 80034\n64717 79376\n19223 90412\n6367 96359\n43881 51053\n49302 83384\n28919 40981\n60161 82209\n3712 32012\n23526 98636\n31052 69634\n34789 62761\n1870 37690\n55451 70283\n72416 80268\n26547 27931\n40489 76047\n15764 77078\n36084 94164\n15577 32145\n23041 54757\n8578 43836\n88940 99443\n837 24241\n47778 60625\n48045 57757\n14608 21058\n75639 83624\n2116 84337\n18063 77137\n27489 89760\n40146 57637\n6887 94331\n50211 60232\n6693 69667\n8803 31182\n55183 84657\n71969 86935\n44419 52483\n56323 65553\n52542 65352\n23056 68413\n25121 51760\n11159 68408\n13467 36565\n68313 77258\n17963 90332\n19751 70248\n5705 41490\n32458 63215\n64625 84867\n82847 92261\n69201 74888\n623 34935\n83037 93527\n61654 73041\n4006 12728\n1902 67993\n20220 98327\n58497 76034\n16664 21334\n81660 99132\n55791 94817\n13277 51214\n8193 80023\n4088 79480\n6798 10319\n39353 49774\n7224 60295\n54591 77724\n13914 57935\n2394 22180\n46687 89525\n17272 28489\n18961 83168\n61808 85972\n22055 94320\n69788 94501\n4467 58681\n48117 77232\n15490 85865\n12243 41048\n38893 60141\n5528 62489\n24218 28078\n3376 51951\n24739 40866\n63384 67018\n44946 55423\n31164 33994\n1625 50068\n11394 19904\n38376 41865\n46611 91380\n17484 59455\n11989 19398\n44311 63633\n15868 28571\n55916 93202\n26648 30515\n49604 51328\n7162 45765\n17605 65091\n16392 79943\n69145 83128\n27117 83941\n25147 67693\n63608 94124\n19532 71473\n4377 15868\n1058 64550\n4654 59599\n14439 26255\n21773 68442\n14556 99066\n16219 57008\n47260 56993\n12742 74831\n29774 51378\n16030 38785\n14438 39986\n65003 88409\n38469 42024\n83300 98217\n12635 60870\n3621 72474\n72874 87047\n39959 48917\n13599 43164\n14114 41226\n61895 85479\n13660 21294\n39545 50057\n20034 64953\n26093 73475\n2228 99167\n59410 64465\n7955 31801\n23258 23542\n26261 69385\n56258 82495\n12268 71870\n21364 72192\n3025 54720\n73879 97054\n28568 90349\n69696 77170\n23891 99986\n26917 62438\n50162 69901\n26825 95344\n41303 57647\n15325 35303\n74498 90456\n54628 90069\n45398 69944\n9558 44672\n46026 77056\n26112 85574\n43106 89920\n15845 47166\n6759 12347\n32955 56564\n73704 77139\n40310 60563\n10099 39636\n35917 63822\n15948 27006\n40008 72672\n27505 85748\n24285 45713\n11391 97327\n9410 12350\n23480 97110\n12277 45452\n35004 53033\n15907 94037\n32054 79883\n63036 89329\n4451 64528\n3578 82885\n3130 31214\n582 70657\n30668 41052\n36045 93526\n37201 68337\n44817 95387\n29319 39799\n48186 72162\n47261 61085\n3507 50018\n57650 92846\n63069 90249\n53445 69870\n27088 94358\n62624 64222\n25029 33497\n87486 88723\n32349 74705\n41675 95985\n11156 88755\n53518 75543\n65114 87788\n52066 58633\n19854 73646\n544 82140\n21023 36502\n42991 50404\n29742 60296\n21132 27826\n38891 45654\n53703 94852\n43911 71460\n32342 49692\n20933 26625\n59775 74223\n27898 62380\n71484 74416\n7069 63625\n20108 54358\n42515 51021\n60251 76010\n25234 44778\n34293 60826\n60320 76393\n15743 74716\n24260 62443\n11472 96311\n25462 86407\n16449 34269\n13626 50980\n59098 67300\n3172 78676\n41756 57573\n11831 39591\n10437 19845\n34159 60941\n31914 38058\n37131 48957\n12751 90708\n26374 87909\n45383 95936\n12151 74601\n35684 72790\n11591 13769\n6973 90210\n69398 94665\n23721 25300\n13626 70900\n43887 75313\n2610 61447\n15017 94485\n25039 80733\n83230 93786\n1095 26881\n32720 45048\n29589 96635\n11225 92811\n24103 56391\n53627 87072\n8343 87129\n44404 79849\n8984 29045\n84633 99637\n14020 15946\n3470 37000\n82812 89686\n50534 72278\n3778 9678\n30111 90277\n7619 18290\n33776 51348\n59231 67252\n29101 97409\n11268 32016\n71771 75841\n26382 88832\n42993 60136\n8308 48196\n64789 70227\n26113 90257\n505 77188\n32752 99818\n8460 17456\n61562 92012\n17972 91610\n26812 35081\n34191 46801\n56288 63286\n4521 50954\n28790 80939\n30123 60277\n39997 54831\n89059 97354\n44373 79286\n13262 43998\n69390 88513\n22477 57665\n21910 24206\n51882 85855\n55782 84197\n72350 90848\n44520 83806\n28330 93487\n1829 65368\n4500 96398\n1131 38014\n742 10483\n52690 60414\n22991 61627\n95373 98655\n11268 50308\n21956 30542\n35952 64437\n49651 56665\n21995 63412\n14670 42540\n53063 73653\n59803 66273\n94356 98197\n90559 91417\n5746 73649\n25908 44703\n49784 99882\n10823 60926\n12819 45998\n29596 89129\n86440 92873\n14451 73602\n96025 96206\n41469 61428\n20791 34275\n22817 53940\n34445 35696\n37710 45694\n17554 24807\n56088 59260\n220 88939\n58946 81423\n70580 89328\n92998 98526\n7367 13648\n58876 83447\n73332 96438\n12558 28670\n90809 99380\n15176 35999\n80619 94566\n16100 22293\n10628 79414\n34280 79130\n7193 48708\n35335 65171\n36237 44631\n396 54356\n17719 91297\n70908 94502\n37277 63532\n11797 40927\n13793 43984\n12270 56282\n7961 31423\n57726 99654\n44809 97124\n59722 84593\n12743 80959\n29476 47106\n18710 24875\n7080 43966\n46129 57133\n34932 97528\n36480 63231\n33021 54549\n41622 93446\n19473 34061\n56594 62560\n34185 67247\n9078 89261\n7539 94542\n2418 34709\n34337 34645\n56100 60526\n51646 88697\n9009 25710\n1846 39663\n26424 76419\n15486 64629\n16738 75795\n2008 25207\n25806 73550\n70813 85792\n346 66061\n44522 66656\n22722 99584\n16273 21746\n71282 73037\n26092 59982\n36384 83544\n14555 93293\n11731 97573\n28913 53679\n8837 28361\n50659 93607\n47673 84718\n27964 98711\n18119 29995\n26703 60219\n18210 83280\n77646 87869\n3354 65461\n27142 40709\n21200 78048\n76314 83786\n30410 44526\n78357 78896\n79628 99069\n58659 72363\n13386 44526\n53372 85597\n43388 92822\n83647 88580\n13314 17198\n30610 65158\n14624 67304\n6783 14856\n11703 61938\n9096 79150\n35739 63129\n14888 43868\n36942 67773\n65993 74951\n4834 82452\n352 76696\n6190 24607\n18849 72185\n13791 79008\n20513 96673\n17547 86826\n1915 12100\n28470 42975\n28969 51227\n29492 57641\n44275 76148\n4025 65505\n51548 55992\n24584 48133\n22359 96889\n71471 95325\n18689 77914\n46735 65490\n25047 37371\n3018 94991\n64834 93554\n28334 68645\n10259 75616\n4777 62646\n54104 65551\n6225 83570\n356 38834\n12829 14654\n21167 46860\n17909 68759\n15775 45654\n32850 56259\n17695 74212\n65821 84095\n74736 82729\n47283 94460\n14615 66331\n12585 41525\n82123 87040\n32319 54768\n69082 99994\n67758 73969\n16685 72988\n79263 85979\n16101 58896\n69294 98649\n43522 64247\n3542 79595\n40694 56350\n2949 72725\n69606 83672\n40359 78962\n10588 26914\n43805 86010\n23213 27481\n5698 41583\n35847 58023\n42264 42887\n43224 99146\n6680 10971\n77655 87396\n86101 93337\n38025 73310\n10867 82840\n38626 78909\n28283 73923\n32425 63530\n11217 34330\n55054 66131\n35329 99662\n37044 53619\n25507 94646\n19590 31404\n15603 40461\n75386 86305\n2324 7361\n19131 44887\n17547 59028\n39445 53402\n22035 73286\n5044 88877\n21295 40786\n4790 76868\n28399 79699\n26110 75572\n27012 91770\n50705 62228\n3284 82821\n33765 84148\n17059 71735\n12613 79457\n84307 98256\n23067 56847\n10029 35049\n92683 93493\n9461 81119\n20431 88441\n29241 99426\n3148 66299\n63757 87789\n61570 64115\n43859 56677\n3919 50106\n7888 35194\n10609 20767\n36700 61861\n1108 29412\n34593 92908\n50500 53180\n17757 22692\n2533 22520\n57523 69983\n4338 10025\n29083 31229\n52156 82713\n60306 79710\n43903 55548\n15269 52874\n68196 97177\n39774 68956\n21962 46620\n10371 32844\n39935 94661\n75891 79743\n13893 36264\n29019 72082\n75172 95226\n61349 71950\n3649 96596\n63382 95626\n73275 84350\n50174 54114\n58948 70600\n34387 96792\n25024 92168\n43862 48161\n49097 50246\n78704 81971\n15506 64743\n52189 59814\n6144 49776\n77470 91601\n84976 99640\n75526 87226\n38928 44735\n76958 84221\n85973 94854\n15810 75679\n8843 64474\n74770 77303\n72563 77649\n47160 60663\n30446 87405\n14142 49691\n45695 79399\n62645 66005\n35263 76756\n11197 96312\n44577 82624\n24944 85255\n43773 50287\n35266 90448\n8289 14199\n684 70874\n2369 78493\n65677 77974\n17868 28734\n7931 47482\n24050 41725\n23731 72162\n29073 81524\n5099 80181\n18632 79623\n90226 96287\n62338 99606\n89138 89509\n41399 86884\n6808 83766\n55890 95145\n2441 61082\n35055 88662\n26774 38911\n53585 58464\n22881 57659\n25640 67696\n29493 34711\n30844 68452\n47851 87777\n3702 39198\n4392 97792\n58437 85620\n16518 85998\n47403 87344\n53046 65059\n1631 31315\n29228 84197\n61306 90062\n32628 53488\n30543 41739\n1101 63841\n28669 49405\n30587 37706\n8507 46259\n46863 83135\n55311 82747\n71782 89393\n63440 82005\n46275 67405\n48084 60096\n37874 65669\n18217 74161\n17924 58342\n59009 94821\n4873 69664\n21909 71139\n10702 53172\n11664 46272\n45468 93431\n58410 96758\n35608 76243\n25248 42484\n71241 81031\n17545 82951\n87190 95452\n62800 75566\n34977 84812\n31454 87171\n70644 72952\n70779 97178\n36321 60834\n71046 83150\n25480 83751\n15942 40130\n48228 62988\n27725 58171\n9227 58250\n18829 57282\n37178 76960\n79 72859\n12480 74618\n53035 57807\n16672 32214\n32104 75796\n4382 42001\n2464 8889\n28520 77365\n47942 60647\n22249 67687\n42547 86275\n56675 76446\n7981 37933\n35749 70263\n54099 73979\n20037 69042\n43142 58629\n75437 89832\n50794 98912\n40030 70148\n21162 75127\n87823 89934\n21405 75011\n24751 50282\n69680 69684\n8817 34055\n62576 84035\n3869 58303\n38939 54930\n80541 93104\n34277 43029\n32529 61758\n35633 82659\n8475 76632\n68655 92270\n2281 85330\n76316 90017\n9810 44646\n13957 51760\n21341 36621\n10630 34795\n24798 80381\n5217 56066\n14869 74115\n78355 95909\n6840 91843\n2342 62747\n43355 82527\n59234 83323\n21371 38838\n33394 49882\n24129 87908\n53919 74836\n20146 29966\n14253 72586\n42016 86919\n3605 79641\n28543 69149\n3824 19410\n39424 97906\n28835 64392\n2361 79434\n3240 30887\n682 57983\n85888 87563\n32446 44918\n48916 87724\n56277 73865\n67788 87984\n60527 82423\n53017 84975\n26391 29081\n69978 88772\n7893 23284\n55742 98167\n68628 75290\n71749 74798\n9172 67492\n27766 64701\n88275 95396\n21183 42660\n52067 60987\n34890 57634\n8845 22016\n8957 43853\n27945 97054\n1095 39714\n4492 42724\n8867 27159\n9437 90137\n67040 86755\n5650 46408\n61726 96767\n40564 93222\n4708 51057\n5783 82212\n28804 33910\n8620 71278\n40315 99613\n23657 45590\n50875 69296\n60234 95239\n70075 87917\n50810 84953\n7884 91945\n69584 91422\n7091 81345\n3515 94666\n53728 78333\n16123 48291\n14590 93399\n67027 78808\n12007 24572\n40894 81256\n32554 33106\n3506 33448\n18006 86544\n20410 34696\n56904 63517\n18211 51148\n76861 99685\n48273 88738\n35703 66607\n20396 83630\n49772 72961\n1691 64640\n26265 71405\n63423 80947\n22184 38426\n48276 93135\n49446 93095\n1676 90752\n37902 74093\n41901 74672\n66660 87892\n6479 49588\n65157 97193\n14876 99242\n39543 94338\n10439 69225\n30788 75493\n36555 98801\n66952 72483\n9380 81637\n32111 94602\n59711 60897\n12293 85934\n90083 95171\n21893 59671\n58133 60876\n51664 87559\n11134 60096\n7561 82394\n67005 69197\n58948 67238\n16401 67922\n14169 29637\n63118 95088\n30125 78274\n68224 69596\n10346 35318\n61057 77640\n18322 78312\n14982 25502\n19346 46741\n34579 98462\n82733 99935\n73355 83276\n28315 72965\n20447 69349\n7076 60878\n12020 46265\n4214 15661\n5029 20026\n40695 87762\n26010 30593\n62756 80749\n14131 51883\n91095 98924\n3959 57183\n37064 39289\n84346 87920\n9494 99458\n47241 79780\n48005 63724\n31799 73520\n19107 21039\n32149 90068\n30280 75271\n23318 81388\n59782 84450\n66441 67681\n24043 67109\n5363 75993\n73281 75078\n17303 97494\n31635 99154\n96771 97846\n61790 94849\n51284 97526\n22720 89661\n21985 97898\n51733 89341\n87715 91166\n10130 73229\n11061 53854\n18689 36760\n8516 70783\n53134 77129\n2224 84320\n46003 92124\n45161 85766\n56709 92819\n3695 75305\n37868 92582\n46846 73078\n5243 56933\n87791 91379\n9505 83825\n942 74340\n10997 35506\n25082 29110\n7861 89097\n33147 60613\n38739 96281\n8574 81205\n29655 36414\n48957 76110\n19427 43966\n48961 63512\n86136 88062\n39712 79486\n18801 96323\n12375 35486\n31289 74679\n21693 38288\n5156 49097\n18934 21918\n57721 74337\n23759 97639\n64089 74211\n70548 83500\n54677 80514\n3544 96765\n23341 46635\n32687 42293\n40483 45822\n46075 91191\n17932 22745\n30654 74557\n32651 81128\n35404 48902\n84863 88345\n27329 53763\n13506 88267\n13301 21213\n24015 34938\n21238 62060\n25630 30292\n49496 58035\n34937 37019\n7777 19350\n12590 85394\n70254 82214\n32563 62004\n95651 99490\n39576 98391\n13516 78355\n13599 91246\n25600 63494\n47951 83018\n1362 55779\n49571 81915\n62712 97446\n51925 74684\n19379 37416\n42567 73427\n7282 26899\n43362 44349\n21461 40063\n15337 76430\n11872 78241\n1381 92674\n7153 28573\n51077 72937\n55604 68766\n5557 38924\n1690 24232\n6495 47470\n21791 79378\n26862 89794\n47070 88417\n15391 96637\n78825 93231\n58840 70319\n15736 18205\n48387 73767\n62495 82040\n17875 58350\n66173 73947\n46462 53583\n32608 53613\n36486 97198\n1338 14781\n38 66540\n25363 79022\n21628 53499\n73212 99733\n48068 96403\n31086 67671\n35754 63017\n7042 72880\n942 28091\n55615 71026\n30487 80670\n12071 64398\n31582 63692\n65477 93255\n82773 93210\n20656 86137\n71947 94672\n23662 41793\n90164 95485\n87099 91896\n30872 74638\n37195 41544\n37686 54859\n67459 84099\n52101 62192\n16640 58773\n17383 97665\n38623 66431\n17215 77159\n20829 41760\n4022 67533\n96054 96825\n45067 65643\n31440 34900\n33192 57219\n70224 98953\n18296 74218\n41165 75344\n70242 70594\n2476 6202\n33971 54679\n4232 29413\n36105 70177\n2444 79543\n52814 84031\n26185 47968\n18754 80288\n49003 52944\n6776 61595\n33186 39718\n84313 91406\n10988 79326\n7859 32157\n10378 57594\n59169 63076\n51770 79434\n61434 70182\n31377 58684\n73734 82156\n6793 19984\n20219 95700\n19472 80122\n55337 82980\n49385 62867\n50980 74153\n21982 82843\n50535 62938\n65671 83424\n10456 18003\n79298 88612\n33581 56741\n10555 94549\n68521 70565\n14375 46579\n60466 74271\n24942 30666\n42423 52284\n54663 88320\n32092 49247\n51724 53198\n14984 50855\n24144 41542\n38563 50685\n12688 69318\n43067 73030\n2644 22667\n14143 73074\n38961 69305\n37571 56202\n55396 69488\n14195 45575\n19864 26383\n5246 23477\n19903 39074\n78759 96233\n51274 67458\n55899 68317\n38200 43846\n56669 87365\n11143 54056\n15433 21741\n68371 89296\n25913 72847\n3815 33820\n18467 57373\n20564 77210\n69830 85745\n32832 42736\n26124 36216\n54745 71618\n34187 39867\n4929 22782\n12027 94921\n5899 25900\n16861 35389\n14897 59161\n23924 81535\n27038 67414\n21598 31264\n73076 81830\n21913 37268\n79000 95046\n62206 67423\n12766 25311\n29113 61789\n1148 96712\n41249 74195\n21122 98547\n36664 95478\n20643 84438\n7396 48475\n17264 33948\n93326 99922\n7726 54074\n3558 87159\n31651 91195\n26057 98656\n34640 78739\n23916 70977\n84346 94087\n26077 96035\n45687 66796\n19056 85170\n25894 95643\n5735 78888\n12804 26475\n10933 24181\n30028 44133\n6965 41667\n21478 34219\n16363 60401\n45813 68753\n9792 36089\n77599 84258\n31534 72493\n41612 92930\n54480 98607\n62493 90828\n25809 86930\n66382 92990\n49908 84661\n50683 83403\n47751 68298\n36498 78854\n1880 50152\n138 4170\n48916 96928\n36595 69574\n20115 27400\n11064 57909\n22332 40101\n5091 96969\n32243 61313\n1146 25738\n516 78813\n14668 87359\n18366 29476\n62848 70204\n74111 74233\n33372 95942\n20772 77422\n68613 71453\n10839 71909\n28256 85449\n18430 45915\n16556 74119\n51384 87292\n11699 22751\n19301 21053\n79548 81130\n32874 47124\n5642 99421\n1710 27570\n20998 54481\n66321 80939\n56416 84274\n11363 66701\n20051 74746\n27679 38820\n68727 88191\n84773 88142\n33641 65457\n15825 18789\n25136 34475\n51188 83145\n27955 29581\n2262 5129\n6017 30300\n88942 90275\n6678 49568\n29971 31379\n5365 54084\n9442 54084\n25111 38239\n4180 19572\n2908 89376\n10047 81592\n79201 95356\n37833 95205\n39348 71726\n49672 83161\n33750 54779\n38947 76279\n70691 87457\n39297 81310\n46773 55929\n3317 25359\n86851 94223\n28202 39185\n21739 40286\n41625 71966\n12505 58327\n13650 34588\n7746 34562\n2025 11834\n15671 77346\n45951 58123\n3083 40834\n84135 92985\n49575 61565\n28277 85944\n6261 78275\n24735 32697\n44494 97878\n47804 49711\n62801 73419\n70031 84223\n33747 85752\n69019 73045\n52388 65623\n48046 57261\n8378 14663\n14282 89325\n44325 92474\n34029 89421\n23531 46677\n39168 57835\n29376 96287\n5946 30253\n65229 74688\n16552 43017\n47383 97281\n32157 84430\n39597 91074\n5566 47289\n25294 48977\n2728 33693\n15436 87992\n39645 79093\n15712 22162\n25565 37208\n13094 66839\n8620 22101\n57191 83989\n19872 37830\n1695 92482\n1832 52401\n51572 97604\n30568 71812\n3157 45377\n19883 51417\n10344 29170\n3272 18817\n58258 81597\n75696 90432\n8188 12737\n33754 82676\n27821 42702\n70524 83617\n23335 49797\n8230 14700\n4857 53596\n15925 40595\n71112 95115\n5346 31695\n59018 78932\n84821 88252\n18132 38497\n35104 90490\n26994 53389\n49012 73675\n30903 93517\n48607 85026\n18920 97775\n20937 98331\n21197 77270\n4488 63153\n84035 97487\n58229 64738\n93994 96907\n92650 94837\n28518 32371\n23745 87712\n49313 83441\n12780 98748\n49015 83019\n8502 74638\n77786 87219\n81743 88393\n2612 53623\n14257 40869\n84308 95100\n26644 48436\n77520 79800\n31151 64001\n19411 88332\n31064 78673\n37663 41402\n27709 37687\n20950 50988\n47467 85525\n37027 48268\n76163 85617\n14489 53034\n63500 77766\n41960 84205\n67055 95669\n37993 72688\n22303 70412\n8534 12554\n17208 41090\n36676 67168\n25896 59419\n84428 96504\n74070 90564\n27628 69768\n35484 46641\n42314 53842\n40047 85617\n79527 90757\n7256 59311\n7701 59723\n49917 97644\n46313 99828\n16887 32847\n6914 24710\n9992 98161\n33600 87092\n21896 67549\n19610 53319\n30156 63265\n32042 50233\n34013 82749\n52979 97423\n54146 86790\n42083 98997\n7311 90538\n11161 49231\n6856 8708\n1127 48813\n26529 43917\n30663 74178\n42225 44156\n36087 56333\n37907 61393\n31314 35409\n35807 68217\n22095 33664\n23694 30867\n754 95358\n61408 67156\n45423 48141\n14038 64197\n41170 71484\n39620 93882\n46973 66591\n2179 23080\n15024 81306\n17607 26957\n35298 74468\n59919 93287\n6663 56544\n7885 28441\n68181 94686\n76250 91764\n57058 87404\n66444 99275\n52988 83424\n59102 94317\n67472 88436\n81374 84979\n22333 36473\n25036 74862\n56842 62292\n25448 60319\n35642 37715\n58571 80806\n75280 98076\n33624 78633\n73222 95969\n62411 62602\n7206 50573\n90963 96377\n47172 96262\n7200 72961\n16980 61580\n1512 81913\n49912 92054\n10942 70051\n78527 78946\n24798 99967\n85376 97859\n82565 97195\n3044 60047\n56400 83241\n13335 95082\n11417 22674\n65396 93556\n57479 72226\n21304 57042\n76534 91754\n55023 85866\n25236 67572\n27446 80663\n13507 27841\n28026 51969\n31972 50370\n55352 56976\n63060 77437\n82634 99377\n15135 42415\n89000 89252\n37704 73739\n27772 54536\n23901 41748\n46595 51853\n22811 46729\n81728 98591\n7172 62765\n41783 92418\n59880 83369\n22040 92823\n7591 90851\n6147 93790\n65260 91983\n82717 94314\n2280 48188\n8999 79103\n23088 37282\n35747 62511\n24658 60963\n41396 68409\n829 74539\n16629 28324\n91477 93161\n9723 21281\n22980 88910\n39322 74304\n15260 78163\n12201 47211\n42227 49830\n5583 40709\n486 21819\n39760 48611\n37514 92959\n20304 45936\n44586 81770\n20067 79994\n64757 71391\n76313 99531\n7692 51291\n2398 12593\n51083 98850\n85965 88827\n15848 69263\n10887 78040\n23774 42930\n81054 92599\n57181 70456\n5952 26890\n11550 53533\n35625 36087\n84324 88095\n3414 50867\n64696 76119\n15705 46248\n11019 80136\n12926 80542\n11519 96315\n92886 94566\n15467 79013\n31644 73431\n18501 78234\n47179 98992\n29238 34830\n35926 86235\n11310 85054\n10426 82359\n17139 41605\n95472 95938\n56153 92024\n11536 41205\n23043 35877\n33855 98877\n5690 84337\n18617 58121\n18148 84139\n29587 38878\n24202 71791\n17306 24178\n52433 68402\n9000 29653\n8400 65857\n71329 90379\n3970 61889\n66150 70078\n69010 76467\n44509 90222\n2833 53170\n14519 34663\n38 64360\n25464 39225\n11912 54266\n23728 78895\n1025 20373\n2548 5902\n57746 72242\n16106 43188\n76578 82180\n4566 72960\n52515 68803\n60117 73323\n6073 86222\n9091 98670\n3041 62851\n920 38698\n4302 72538\n8318 48928\n1037 10939\n55486 59588\n19512 80473\n37818 65651\n76623 92323\n9336 38026\n11555 34390\n11818 29435\n49219 82742\n62029 62615\n68476 97312\n14464 92233\n7052 11238\n34052 66820\n64744 87320\n12493 67330\n5801 54503\n42129 83334\n51860 97887\n30852 48434\n35669 36706\n70029 85495\n9983 33746\n13624 42872\n56640 61612\n35159 74919\n62326 63501\n195 17402\n41657 75678\n12179 84348\n37365 71554\n52930 87560\n1303 12802\n2305 97721\n20193 58641\n10231 36240\n86714 93585\n53055 54990\n24339 58376\n6149 90915\n18775 80974\n8951 69094\n18559 27449\n30419 87065\n11919 95191\n27918 71258\n1100 73347\n12201 52273\n7498 88799\n39449 99512\n9298 68342\n56373 78645\n3933 34921\n11699 93320\n25257 65198\n38328 55971\n63409 72417\n44306 81473\n37754 80598\n22885 24911\n32029 98023\n78746 87091\n10451 18233\n81980 87705\n76108 83486\n13596 41058\n33833 80210\n12432 59069\n84930 98459\n19112 38457\n39432 63365\n95723 95736\n916 91372\n11721 87663\n52459 92616\n43986 95116\n46938 99576\n32951 82423\n38999 98271\n5798 39239\n5076 47961\n11158 19599\n20695 44891\n83722 97026\n46434 87040\n4034 77597\n1606 89988\n73393 83499\n18100 86626\n8814 67064\n49339 91438\n19751 24161\n35987 96947\n70789 74843\n13790 26562\n34130 66270\n36785 57764\n41415 60853\n41457 60708\n61290 76609\n28468 68386\n27859 43575\n55563 97018\n16240 70434\n49022 89630\n30828 88519\n44160 47165\n69000 76327\n47858 94700\n21459 86986\n12017 78871\n45367 87419\n19488 77706\n36889 72727\n30868 53788\n56609 72636\n31295 80824\n13813 56922\n39631 66539\n26674 67983\n22411 27910\n63933 79827\n36594 44148\n45077 86365\n29121 43855\n33743 76268\n31530 50542\n40570 80638\n25733 37573\n71519 84351\n50167 74537\n46759 80444\n12390 71707\n11770 84047\n5316 44499\n79113 85844\n16282 24226\n24696 76171\n47490 63304\n10871 68114\n9574 45569\n1300 68479\n58041 83678\n41596 96458\n79423 84552\n40711 92107\n2611 88634\n23801 50701\n50252 58748\n48495 70399\n76003 96648\n23868 58506\n33388 69702\n68395 93679\n34130 86489\n67972 80004\n4064 93974\n9229 56435\n30534 35623\n11890 98910\n39885 57784\n19030 54411\n19887 78180\n11140 56516\n60319 89371\n53343 89228\n75262 77106\n50760 95157\n17899 95221\n23984 61048\n62326 90993\n29843 61787\n7177 72285\n69866 99344\n61331 85759\n88005 96862\n63688 68657\n29905 87736\n23338 38521\n81473 89447\n68129 86779\n17170 34728\n10955 82120\n61653 77896\n40063 83612\n25315 65909\n7096 74372\n62130 81467\n49526 61611\n60691 71932\n54526 86839\n21143 40123\n45381 75326\n53674 98712\n1174 16311\n32310 94553\n25441 68304\n23114 45606\n15379 81917\n24024 35939\n5219 8250\n7038 98776\n5407 48928\n89991 93706\n12418 46671\n37271 87782\n32335 35507\n11206 11419\n28178 59874\n35180 72156\n36338 95182\n15976 83464\n30651 61920\n65167 84935\n1463 37801\n11179 79854\n11399 69538\n28880 56681\n83567 89631\n19693 24070\n23006 26267\n244 88655\n73675 74570\n9662 82928\n23330 73081\n34035 87800\n9063 92292\n58510 59337\n21348 73841\n40640 90802\n7633 58273\n55162 94564\n28152 98852\n74460 93103\n12950 87589\n5799 89817\n22672 26917\n6002 49792\n10491 72741\n31931 77974\n65781 70244\n39559 89880\n32591 65180\n11350 61675\n10655 48504\n36556 50826\n44367 86546\n45968 90987\n36119 96231\n20739 61937\n16327 87973\n81177 98909\n26972 92887\n39458 47599\n77864 93308\n9950 44436\n70137 74864\n47155 47230\n6687 37562\n31204 72279\n3113 61900\n16901 48013\n41998 86277\n7652 7953\n31488 58390\n3227 94872\n17581 46793\n82593 97099\n28474 44100\n15698 57338\n7118 86550\n4644 98170\n23758 40969\n11799 37185\n37627 76729\n6481 84787\n64649 69294\n49486 57774\n36072 81904\n33916 61474\n1490 56550\n24329 36269\n6078 25562\n8092 28976\n67418 84798\n19078 25662\n57684 80336\n37918 40959\n33888 72839\n18719 24956\n10880 28000\n28916 60661\n24447 91862\n68526 79839\n1553 97048\n41705 47937\n5101 62620\n65367 73334\n32301 75077\n10168 19606\n36194 97257\n56333 88087\n79209 89118\n77718 99381\n25266 63837\n31974 66555\n37779 86407\n31345 62071\n88935 98406\n45989 50231\n2106 18135\n75613 80666\n2766 67349\n17583 75000\n7127 34502\n10119 41492\n4640 65288\n1070 60196\n5407 18696\n15149 80072\n47784 55308\n7524 49054\n5745 6099\n32439 65139\n44841 66750\n41265 86248\n35283 38511\n10429 21649\n53826 97626\n38894 63268\n26150 45691\n14436 16602\n2248 84189\n29499 81708\n73591 76361\n51939 57173\n13383 61058\n50732 64201\n32322 95507\n44592 79831\n24588 32839\n98171 99085\n29872 70345\n87564 87941\n3712 82611\n32413 50103\n57596 62410\n27259 96059\n56471 96099\n11286 57393\n40693 66250\n30452 34695\n51438 87803\n40158 41904\n14654 54548\n34653 40600\n84016 95601\n21334 93944\n79957 99840\n13483 67109\n52181 95267\n30872 35075\n27586 66280\n68432 81574\n20353 51342\n46096 58667\n34998 60923\n11098 99506\n36850 55645\n39415 78273\n9300 60771\n37781 96247\n576 24906\n18795 92107\n13879 79125\n11482 23957\n9394 42687\n3590 44113\n6159 54671\n15628 28229\n12365 17695\n19206 76174\n6504 36012\n14127 96721\n147 18676\n13139 15933\n65806 90273\n42674 56535\n140 11243\n54797 58271\n48363 58454\n63051 88431\n21555 30792\n70958 80906\n44987 60443\n76647 79388\n29378 88564\n4230 64125\n13666 87933\n66206 97913\n55097 81007\n35569 66412\n19620 99668\n81790 98923\n45289 95172\n65950 94100\n30393 59311\n4452 72909\n56504 73474\n21314 46487\n67787 89447\n40947 72560\n5677 89177\n86391 96378\n10131 71535\n3209 78557\n8179 39280\n26086 82365\n5435 5688\n5946 48466\n33920 89046\n2132 15155\n67459 90094\n20238 71232\n6551 18725\n3000 46239\n36518 83552\n32517 51530\n14501 35476\n23436 38456\n10004 72493\n45537 79891\n23136 38183\n21298 21939\n54591 56518\n242 58197\n578 98310\n3812 28735\n20011 45687\n2674 81012\n46544 67789\n9738 74208\n18947 42545\n57881 64105\n53297 79138\n19992 75902\n19672 33213\n79058 81005\n39208 44827\n21039 89640\n77960 79136\n47907 59142\n412 90020\n29969 99329\n88202 89478\n27179 68103\n58260 99173\n33875 94661\n7406 10716\n45960 66892\n16908 58516\n16103 94413\n80983 97052\n12067 50714\n40767 95407\n14323 16688\n4309 58924\n66792 81162\n36772 53533\n20091 89831\n4040 82747\n52605 98599\n53306 66865\n10294 91044\n75141 75402\n8178 68069\n82431 89662\n56230 97439\n35932 54132\n63303 92568\n2877 26135\n22617 53499\n25350 55575\n10239 39253\n31974 41726\n5097 41177\n50894 58783\n46479 62054\n44072 99849\n22276 99214\n40549 77214\n6469 86570\n60767 68805\n86131 87957\n50395 70021\n47496 48229\n76831 84280\n82524 91651\n7312 71796\n2071 61704\n6191 10724\n87329 89631\n2301 94968\n26666 94787\n11279 42649\n7587 73726\n90170 97688\n33415 90290\n15250 83026\n21943 35846\n66371 94532\n2663 77290\n57929 75581\n4769 13942\n21519 48284\n61576 70202\n40267 80254\n15179 64759\n69791 85581\n9904 25850\n48557 66329\n13571 96824\n7991 41558\n5002 35407\n10552 62835\n27142 42168\n16312 39567\n43685 69918\n27861 54548\n19313 26359\n3710 71546\n1635 57336\n28143 52374\n33599 88786\n81979 93903\n70112 87586\n51913 67914\n72327 93232\n24980 85777\n46690 70441\n31205 89523\n2363 52447\n10914 20422\n39515 78047\n30583 65786\n27959 35931\n61944 74163\n26285 70567\n805 1947\n10564 26577\n25156 43845\n45077 74875\n59828 61229\n68357 69746\n428 50918\n49339 80301\n81265 87333\n1686 29313\n44346 73078\n19793 58104\n34701 73816\n32410 94443\n284 58548\n53071 59197\n22518 36767\n2515 76093\n40778 53011\n3361 89087\n55186 83221\n7092 96777\n35362 85930\n1451 41666\n8583 61608\n47115 63323\n14737 90952\n3475 91477\n2788 37391\n43687 91489\n72930 97086\n22503 43838\n22045 82143\n88287 90055\n54171 79807\n65795 97115\n39847 85883\n28862 93775\n34114 91736\n68940 90169\n33246 96558\n52212 59220\n35844 60927\n22602 44484\n36155 60425\n26546 27431\n9454 22226\n63656 82993\n4162 64157\n8530 64704\n13033 36079\n61325 80837\n48396 71510\n66943 97013\n45978 49684\n13762 88651\n32527 37745\n10902 92976\n19741 67116\n12251 64146\n54866 98650\n47092 73351\n48892 98407\n72247 84530\n8622 8934\n75634 97098\n32965 86237\n43490 69278\n59356 81450\n30394 99168\n80101 89189\n18246 50544\n83034 88929\n61657 67180\n2060 44575\n39332 93587\n24775 30867\n9252 25056\n35014 64019\n41518 52037\n12952 53028\n4115 20404\n55485 85779\n92322 92800\n62378 69178\n39527 50303\n62832 99611\n34072 54843\n96075 96991\n79807 92342\n1387 17250\n38128 53165\n80121 96084\n59413 67946\n32257 48068\n22923 45655\n51501 55188\n33426 48942\n2654 83259\n43840 52519\n56240 96565\n29170 71738\n44932 82092\n51762 54124\n74792 98682\n4112 62952\n5642 79519\n585 13922\n27769 74067\n20249 52263\n43296 87542\n9080 81931\n24232 58441\n28187 59929\n41819 99893\n67671 80226\n31275 53979\n15167 43512\n24323 72565\n4805 56069\n32725 63576\n55284 57737\n44737 79545\n1785 20418\n83354 84094\n45559 80064\n57889 62396\n91839 92583\n32705 62264\n8009 53089\n35686 41303\n1030 97966\n12227 31445\n1905 42587\n70814 87772\n25545 47726\n35597 64118\n7410 73076\n26341 91593\n14784 85105\n2479 29213\n32555 48272\n39582 53992\n64318 89818\n12666 59566\n42103 98085\n10153 98826\n56139 56620\n89409 93186\n12971 61698\n39470 42146\n11399 16396\n35089 74749\n71542 79973\n21803 46026\n46974 62393\n22549 61949\n44056 88425\n42767 54734\n1764 52841\n35405 39588\n3182 18880\n78573 95381\n68068 98976\n39065 78413\n47488 98163\n4170 17778\n42122 63215\n35396 58522\n42445 50953\n8472 30767\n1889 21356\n83661 88290\n19313 27440\n76966 79444\n37254 73252\n49066 50681\n16986 17777\n3232 5869\n10286 64590\n52582 62233\n18224 72700\n84712 93512\n14155 41623\n24033 74472\n3051 4676\n1284 43434\n94078 96798\n11037 46051\n34684 52567\n6601 56288\n14142 99217\n39975 90156\n42080 87533\n82035 93895\n38177 41737\n42169 71225\n4079 8441\n51733 86121\n51839 73851\n22591 88491\n47111 90473\n1567 85840\n5340 45222\n25942 45508\n46568 86668\n36129 46329\n7906 56297\n58784 85540\n24461 55137\n31023 49884\n22459 90116\n53636 98525\n95560 99547\n34954 91464\n1566 56524\n30082 81693\n49384 67883\n22844 78677\n4074 49553\n28236 53727\n4871 47154\n1678 30590\n16894 38151\n29140 37131\n7090 79364\n1991 52063\n36017 78276\n71068 75862\n24152 34668\n42632 44501\n6671 66611\n4241 50021\n85787 97401\n40608 85866\n73981 80085\n45328 71631\n78039 96932\n12991 48298\n57742 94750\n75401 85026\n65745 71962\n27016 28168\n1763 55696\n74643 87674\n68028 72533\n64753 93660\n68148 99733\n58564 60806\n58280 81047\n38442 43758\n30957 36107\n39916 66656\n47014 92361\n76694 85967\n76703 90996\n11417 28731\n16522 51168\n57631 71562\n85155 97891\n30212 50237\n21604 22600\n3433 13388\n60544 84845\n59634 86263\n47076 79235\n18095 95348\n30453 77450\n9650 81545\n1288 22927\n44634 74475\n5112 38010\n6905 74953\n54517 85711\n56302 83901\n22578 87914\n66745 81850\n43386 67212\n22400 87763\n86792 91038\n58628 72929\n71754 93806\n17745 50467\n79745 84625\n4895 60575\n30516 86442\n91390 91430\n9067 84583\n14838 17618\n88473 89981\n58931 82718\n25991 91891\n30371 90090\n60658 98707\n67577 77595\n13974 90174\n11789 71662\n29477 97721\n42645 65269\n66078 94500\n32642 68202\n7636 50191\n18001 84685\n7611 87353\n13616 18461\n2918 12906\n39572 46242\n12271 25059\n22254 71657\n37458 55006\n10492 21616\n36110 89839\n13178 14329\n41282 74511\n35102 49362\n66716 93535\n5888 31575\n296 43375\n55001 97513\n40902 74275\n41236 46372\n36267 65026\n19177 21552\n52734 98268\n35005 60395\n21560 60227\n12761 49271\n29014 47187\n13781 65919\n25448 99196\n685 83815\n22648 25358\n16097 82069\n51965 95969\n24946 29775\n25313 95871\n17807 58579\n27917 84499\n2387 54262\n16884 58715\n9526 50509\n14782 76729\n28325 53814\n25299 33377\n59085 60139\n45907 83382\n70021 93662\n30932 65249\n4493 93956\n4899 57478\n43646 70224\n50005 62768\n62186 90024\n6821 35452\n62471 86910\n25696 95451\n43019 55434\n40884 42518\n25411 50050\n2159 52066\n36954 58393\n2554 98169\n13714 94666\n27796 34808\n78502 79853\n48584 71087\n59964 98390\n20897 37510\n56577 87791\n18418 86612\n13401 37660\n41900 92898\n30619 63002\n13036 88187\n8281 88171\n9478 73203\n31532 33217\n25961 68824\n46529 57370\n20194 31720\n77865 92464\n35147 84967\n32838 67558\n8358 15253\n8516 13255\n31990 92205\n56912 63780\n70421 94274\n82367 87889\n11231 40832\n72696 95431\n59251 86156\n7585 59564\n30963 66400\n6443 30844\n34368 84566\n14862 45369\n42307 46916\n24872 70645\n41962 64244\n5393 97076\n47014 54293\n20749 44672\n4300 77392\n58330 76545\n49477 92564\n80379 98515\n15639 93475\n16220 27760\n24426 65354\n34787 72890\n35664 83265\n28413 67685\n15719 34753\n16632 46642\n15620 77461\n65632 95184\n6124 61305\n35098 87066\n5715 7299\n7748 54381\n72772 95436\n63594 94055\n61250 64611\n24438 77211\n55309 93259\n7787 29066\n27952 57839\n15962 36573\n22651 49495\n37761 78703\n1852 82086\n27813 75285\n2740 31603\n2075 90083\n15250 76983\n24071 32791\n47959 56608\n5960 14187\n39430 48073\n56551 76417\n47350 77711\n51863 83949\n53078 59330\n1117 31519\n40289 95513\n31211 49060\n32495 97800\n51412 53611\n63488 93243\n76583 90059\n7416 8438\n66870 89239\n19287 41722\n47052 81296\n60589 71897\n46293 75915\n21366 51379\n40605 85257\n72775 78923\n15575 43090\n9109 38322\n13592 50850\n19443 97717\n13673 60905\n39678 45538\n31961 59147\n78912 93524\n49032 84001\n13031 64943\n69371 93654\n65507 89865\n38630 51221\n36951 95311\n13562 22545\n44133 65119\n55962 73074\n15054 31587\n92227 96449\n59866 83902\n22163 64280\n36345 42493\n56268 70946\n10530 46973\n8509 80870\n76486 80100\n48322 55395\n8825 71230\n47931 87994\n19902 20382\n29269 82485\n37547 70820\n48089 82075\n39644 67473\n78502 99660\n60297 78622\n65813 73707\n39358 91134\n4957 50969\n47251 59745\n17146 53249\n44131 79497\n5440 22334\n22061 62538\n28784 78750\n71788 80264\n6126 75348\n59959 92345\n19477 48819\n6979 24635\n18421 44788\n9994 17358\n7393 46674\n3558 75988\n12174 26927\n58820 61342\n45387 50908\n95874 99895\n83962 89338\n47343 99366\n25665 68429\n11438 17282\n48945 86981\n19892 46499\n49021 91122\n4830 75262\n433 37016\n67047 72849\n42072 82211\n1248 41352\n22494 23399\n4177 49032\n47156 79679\n22597 59340\n12838 82425\n60839 63307\n57390 79145\n16065 18561\n46558 78608\n26920 90175\n42008 68794\n10555 25640\n26247 28228\n34436 50315\n22765 85772\n3390 4438\n4296 61067\n10852 91952\n18399 92705\n74767 87867\n67786 68081\n75179 85468\n9024 21610\n53391 69433\n39953 63244\n95236 99312\n48569 62699\n6622 73587\n8166 47526\n54272 95427\n74072 87969\n30741 88044\n23789 99977\n71546 78368\n3583 85088\n51129 66813\n2220 92405\n44402 48306\n87467 98789\n63686 97792\n15946 71808\n43609 86144\n3416 21405\n81143 85158\n39203 62845\n30275 61948\n47961 90334\n33373 36538\n28878 33373\n35246 60170\n17601 29436\n37066 70700\n4570 81229\n63503 67827\n23934 34938\n21358 58985\n50569 58408\n42026 79798\n3603 19192\n1791 20747\n36384 53002\n45791 48241\n21101 41590\n80493 98024\n20373 41919\n59057 62497\n78201 90475\n21310 54285\n37743 96816\n31587 46899\n24205 86127\n11921 75884\n5727 27507\n36965 40536\n39921 99740\n71002 74731\n37466 70232\n42545 53474\n21808 54210\n43154 58857\n8555 73055\n36699 95334\n27949 28460\n70404 78334\n70498 79599\n4856 65942\n17751 96401\n13912 33247\n55361 90548\n34319 84784\n88594 90571\n5500 49670\n49067 89356\n18188 86317\n44247 70906\n14229 71040\n27667 30587\n23581 31689\n235 1650\n57516 77071\n3197 21052\n28755 74700\n24759 62839\n24536 72161\n14293 51659\n67035 82521\n60132 88782\n7316 76980\n21180 36839\n13517 73805\n21186 37369\n51203 82389\n20521 48689\n19752 70756\n11700 90669\n44183 62228\n73984 94688\n19762 71495\n32281 58731\n1929 45343\n43208 56299\n58169 70813\n91864 98675\n6010 46635\n6900 41103\n48779 84775\n30999 93904\n534 49061\n10783 53091\n31152 39782\n5949 38628\n61978 74108\n32784 51335\n62372 83468\n35601 41024\n29037 47554\n27860 98581\n46387 90139\n23492 99848\n43981 99125\n61336 96156\n12172 25467\n5016 65477\n23143 87913\n6815 41108\n20381 72781\n14483 77411\n59031 89402\n17124 41106\n78715 84846\n57027 70492\n47486 53744\n25233 93313\n61856 95302\n9521 22537\n42823 60361\n82887 98806\n29591 62505\n89107 91330\n18122 63849\n44429 45465\n2185 14780\n11786 42419\n51775 85022\n17881 95004\n23356 91980\n65861 70405\n23066 68551\n8678 37129\n4993 26238\n21947 39612\n14774 40244\n15221 85034\n2897 4571\n66721 70659\n22359 62843\n11556 74699\n82160 85187\n9814 41540\n21723 78932\n75655 81596\n54836 76792\n9488 82902\n55771 60829\n10324 21181\n13834 76211\n8879 33151\n42460 97931\n5706 33941\n10829 43187\n54495 60847\n13047 99911\n21373 83897\n5983 26861\n56281 69457\n22526 36042\n10296 36177\n1841 74171\n14208 78141\n4035 90098\n8673 65634\n71087 87083\n46866 90572\n18492 21267\n66903 68777\n3461 54034\n76840 86316\n7242 51558\n26162 38792\n28090 74588\n24637 49939\n13281 52606\n27631 39849\n18883 32499\n54685 85429\n25228 42294\n6646 44775\n41623 58123\n49253 63316\n30139 70183\n65071 84444\n35795 48131\n39295 58921\n61305 71744\n36255 89413\n42346 78568\n53565 72308\n58216 96683\n18499 80278\n32954 39645\n20495 84208\n3236 74134\n15140 18028\n6362 75033\n1327 96821\n25678 77550\n59453 90963\n46942 84123\n36000 85181\n52198 77681\n3317 81262\n19173 46194\n59601 68824\n23343 64467\n87491 89838\n35386 40876\n9280 96893\n23643 49321\n50460 59194\n5236 10411\n21442 67307\n42954 89504\n41448 90701\n5378 60395\n24029 85056\n886 94686\n76343 89493\n25882 58311\n20517 21070\n1757 95634\n832 93367\n54179 94663\n26742 39605\n42693 49647\n74099 92414\n25337 41876\n79446 87431\n6595 67714\n26972 90777\n69487 88736\n44115 54542\n4426 38601\n39409 46650\n12946 42646\n8166 69653\n30741 44946\n30798 52807\n42806 61868\n20645 91699\n280 27309\n62849 70112\n3820 11300\n8548 80693\n2428 82027\n13576 96738\n36785 39601\n4031 55128\n56881 78933\n50596 69140\n24542 88355\n44812 82344\n40754 74352\n49192 97702\n85145 97227\n35680 79854\n16646 64252\n15428 46259\n18598 52837\n31561 47933\n92382 92601\n41121 83412\n1121 44416\n8992 44386\n19463 33120\n4813 10159\n54253 86729\n76637 78261\n83489 91347\n1402 74319\n76632 81609\n42215 56962\n37812 88398\n47411 79945\n66695 84544\n47917 48701\n16971 39440\n56688 60341\n19561 28052\n60734 71437\n34350 45833\n62817 71548\n73400 83974\n55926 61161\n2480 50716\n55165 67497\n5037 32541\n64898 70200\n65392 92127\n75808 87731\n35815 64837\n6564 25309\n44387 93303\n48509 83201\n23471 52552\n48446 74517\n1685 19329\n31113 79770\n68716 80770\n61058 71875\n22754 50067\n14514 23717\n6245 54431\n20062 58817\n40177 72401\n11343 97317\n36565 76902\n69584 80427\n16878 39503\n9869 89369\n6187 92068\n69131 75899\n26506 34544\n14118 56375\n53391 74692\n68793 86863\n67894 82138\n67757 79560\n46426 56909\n4673 89112\n2469 90085\n5122 6744\n58482 75494\n14271 66780\n10458 61630\n55755 70815\n41435 95293\n45816 57562\n7908 84902\n58587 64455\n8532 54207\n1169 42088\n36133 62285\n1891 15837\n13666 33330\n71536 87064\n21382 95302\n12472 20599\n16509 62800\n2289 72583\n27474 90620\n21709 84346\n38072 75544\n26145 72883\n35718 59047\n32518 69576\n24309 54312\n2641 98727\n13199 22571\n31296 35121\n86633 94785\n48778 60595\n65350 87684\n5404 22248\n19247 75557\n30441 90680\n7475 35223\n31932 89495\n40866 44456\n1807 76991\n6563 10720\n65886 72919\n13732 35935\n19477 72980\n2976 75924\n53793 95745\n57622 70077\n24505 98607\n17678 36072\n42254 46864\n3006 54889\n35281 96879\n64912 81803\n35312 52287\n27693 34115\n10707 41871\n65409 78108\n13442 20195\n25183 78012\n45653 47680\n38101 92677\n67066 86926\n32261 72565\n25491 45835\n27471 62391\n58413 93264\n39523 84546\n12074 61002\n25521 94892\n35863 61432\n3012 82837\n12800 70335\n27724 69846\n1825 51812\n31443 52029\n58549 68406\n59366 62061\n4873 18940\n16455 56563\n44301 92721\n51881 87869\n39719 73927\n31322 62130\n9292 60119\n38053 43088\n33865 43347\n2068 30187\n26559 34422\n9234 84348\n79290 81327\n30797 68282\n55587 86407\n64074 83090\n22185 49654\n8846 12840\n94904 97165\n41458 59969\n57260 84678\n37706 53769\n18140 41293\n35584 45628\n54805 85309\n1688 98368\n8849 14933\n5405 24342\n12365 80012\n48106 69354\n45613 66222\n22335 74534\n16027 53065\n16515 41928\n2349 28713\n75195 78011\n84562 90863\n30682 35096\n42442 82722\n70475 93309\n73014 98476\n55596 86140\n12320 18136\n4248 55716\n89683 98114\n28870 48613\n5979 57311\n51372 58485\n27897 42564\n5985 71945\n42813 89271\n50296 54711\n26370 37293\n142 14833\n7295 69026\n33577 97273\n68068 81659\n23601 73780\n41036 96677\n24208 33601\n5365 85534\n32967 98508\n31858 96494\n4838 75919\n7173 23824\n6913 19575\n58322 60241\n27404 42282\n4920 97406\n31796 93863\n21824 64518\n4246 26992\n36935 68473\n36376 53108\n37107 67152\n60731 92546\n55383 59763\n89741 89976\n7406 82085\n30426 83317\n4947 65935\n46582 91520\n27218 77687\n31560 79246\n35104 51258\n39316 41047\n52879 79103\n17397 44062\n5327 35017\n42661 50417\n55495 88219\n70655 73489\n29421 59904\n71950 82786\n34512 68467\n75448 85236\n63713 96798\n24917 69913\n36877 61438\n3934 64645\n41930 80125\n63647 83799\n21396 42081\n2034 87537\n43832 65258\n101 37005\n24793 56003\n6629 76798\n34935 84393\n13570 36971\n69335 95480\n75272 84459\n40818 64102\n72163 80687\n59114 69148\n42009 78183\n29255 33082\n26639 54609\n32496 46888\n50601 56304\n7942 35697\n43514 63889\n3189 22937\n32685 41739\n63041 99024\n77091 97411\n3625 52865\n6929 72084\n28972 48681\n45078 49485\n30515 50584\n32035 33923\n26871 89177\n13725 42344\n49715 69824\n68755 76921\n68367 71542\n70741 99835\n14330 61220\n9911 64390\n36760 38342\n16285 67972\n31043 37025\n37595 87939\n15520 58751\n75728 86464\n22938 39535\n20741 91668\n24986 31684\n36156 50502\n47076 74998\n43595 86068\n74269 98738\n14880 79415\n24705 26110\n82817 83278\n10953 56830\n71763 77533\n4535 41574\n8518 76126\n91353 95603\n67861 91333\n17968 69508\n50659 73978\n7946 96848\n31067 91689\n18323 76330\n57061 75464\n57842 91372\n31132 86838\n55252 72877\n67886 92977\n67249 92516\n20632 27558\n41532 82540\n14933 38932\n51336 73170\n45482 72218\n26028 64609\n16142 38184\n16564 87428\n50297 50358\n45354 89298\n29515 62721\n58407 66377\n85649 89081\n13732 41830\n10319 82972\n47757 70622\n30091 87341\n21739 97914\n67712 90294\n26500 92383\n8340 29435\n29650 53039\n44051 81413\n52054 61362\n5788 41238\n2133 68467\n39556 65756\n83592 85062\n62717 96235\n35782 50441\n6279 94349\n12800 35450\n56615 71093\n26271 39985\n47705 83494\n33411 80537\n53309 84383\n90491 91241\n75328 77448\n25827 36622\n56771 99940\n36271 84562\n13753 75471\n1004 48926\n7233 27445\n38561 44357\n26673 95384\n4530 95368\n13944 50365\n6257 91201\n27401 89772\n58318 99344\n58898 85935\n3915 80975\n11626 94572\n73585 87560\n12195 50296\n1536 94979\n20552 59636\n13432 40703\n60159 69190\n9437 87485\n31479 79628\n5231 28125\n45900 70901\n64186 94026\n790 41662\n36357 87344\n7697 60494\n11195 45202\n29234 39082\n65228 70441\n37270 71403\n15829 26470\n11330 90083\n7380 55381\n1851 11395\n35979 98272\n87757 90041\n11892 24763\n39623 99998\n327 35019\n6095 43072\n930 65477\n3300 12380\n34161 89011\n6447 46578\n43498 50208\n38659 58465\n72510 92026\n34823 83699\n49821 78374\n57561 61495\n8263 55787\n27397 30357\n80232 82639\n42353 63985\n17949 59434\n31288 46966\n7219 31549\n598 7308\n22844 79375\n38666 83276\n81008 88263\n1600 12171\n25343 29773\n78320 86918\n58259 76399\n23782 58862\n41734 53932\n32974 59214\n31616 72511\n80459 96695\n27192 41029\n28344 55202\n61734 80070\n74388 94880\n4080 27978\n25304 46404\n984 93077\n10755 52035\n725 52331\n30873 48222\n38758 42418\n28758 95498\n60266 62136\n39751 57980\n38116 51844\n49886 74282\n28118 61187\n12512 26961\n77179 82103\n59187 65193\n39755 93208\n33743 49639\n19123 90665\n115 61662\n43960 97897\n58521 79108\n37800 99498\n83478 94310\n76191 90751\n36938 73297\n20437 39774\n14189 52274\n6944 62509\n77631 89663\n11444 70653\n37748 57700\n32 80984\n12304 61960\n18008 84022\n60123 60408\n3962 10703\n11723 51563\n467 67523\n47308 97374\n50524 51080\n30250 55909\n11791 56990\n30223 80035\n47651 75215\n24939 64337\n48863 90786\n62240 72336\n37851 58552\n31228 36388\n40122 57354\n72941 87367\n41722 71693\n63883 82166\n11837 69734\n50330 76158\n57709 74513\n6446 30575\n5542 67339\n23158 73798\n44332 86019\n76251 86544\n7807 81008\n63427 67654\n67939 71288\n26576 42609\n6204 37501\n34351 60885\n16703 77039\n11472 95426\n13585 26407\n24628 61488\n56875 89144\n38322 77193\n28541 38426\n9871 28745\n42925 77079\n41615 63096\n23461 72238\n6592 73146\n15225 58326\n14280 40345\n9968 73228\n6890 43287\n35532 65733\n27590 91267\n16807 55526\n40468 42629\n42729 46342\n52928 55570\n7339 89041\n24676 33504\n47113 84342\n18478 69514\n40344 82159\n26837 87658\n47858 98592\n17877 72957\n25629 37410\n4966 7052\n15422 41476\n62582 65004\n19147 60752\n2383 51340\n59897 61697\n80018 84534\n7842 17463\n455 5413\n15976 85634\n21925 32605\n33753 66760\n19155 87378\n12535 20562\n13508 66412\n44643 90944\n417 15331\n26145 69213\n1399 75421\n9181 58584\n31231 71023\n24993 90127\n66106 92452\n61817 90872\n20391 38038\n72659 98196\n151 3025\n2906 79383\n21499 46734\n46385 80199\n84421 92733\n59573 94139\n29755 84776\n7127 63634\n43892 73941\n24565 91411\n16717 87885\n14750 31789\n17460 74266\n26393 45147\n12968 90141\n4941 73178\n60313 74244\n62401 63293\n72909 90582\n23952 24187\n82154 89749\n21569 26754\n38124 49497\n15746 73328\n2212 57932\n44310 47856\n36452 96789\n55200 88018\n34062 34967\n25511 68068\n20473 96547\n44024 77960\n9058 59296\n57508 95357\n12990 84906\n25473 35044\n62956 78819\n22112 34440\n70724 78819\n18753 74315\n49905 81350\n2609 17414\n46618 48954\n56638 71379\n11663 31393\n14017 63291\n12781 14025\n3594 63305\n47459 83295\n22290 48844\n18294 38749\n1118 87010\n23669 86691\n54721 95639\n57969 87904\n32345 36165\n74664 84920\n5394 36551\n48991 79124\n38976 98694\n27606 54541\n25044 65379\n27979 56740\n22944 46316\n47141 91828\n48903 62916\n2736 46201\n67201 92727\n61384 63034\n13414 26361\n14716 50332\n43925 69856\n37243 94682\n44507 71746\n42915 90051\n34239 99127\n6252 64837\n23165 99287\n68117 71275\n9999 27924\n24000 61717\n9154 72784\n15206 36148\n60853 97586\n21481 26822\n16332 98429\n81737 96147\n2418 77816\n46491 98265\n32951 67484\n26462 63987\n16427 35089\n1800 96628\n3216 9522\n13328 44560\n32426 69584\n39829 67838\n41982 44218\n54766 70707\n47093 86292\n8694 38021\n91601 92019\n44896 63032\n14126 43623\n31381 92692\n48178 69603\n67109 81589\n10387 93747\n61591 72831\n3602 44677\n54162 68616\n43409 44510\n42423 63379\n73861 92093\n93367 94662\n60 63328\n40339 83133\n48784 86332\n9157 97039\n3564 6928\n27541 72284\n8703 86150\n87150 97867\n3135 26898\n70776 97575\n10773 50050\n1601 26361\n39146 41989\n43932 83874\n18467 97325\n28348 37743\n12161 33727\n29056 89136\n30220 63249\n21311 43168\n43810 63650\n54777 73860\n51836 56157\n25603 34133\n35283 68756\n39185 97309\n45088 81234\n16417 73865\n55740 64620\n7986 77918\n99348 99664\n44268 80244\n59442 87629\n22626 44610\n78703 92277\n89 62119\n9089 42355\n5194 71998\n26048 27844\n62023 91727\n24973 26889\n1717 83941\n8584 59077\n27815 97060\n48824 51884\n10017 90568\n59522 85020\n7381 95798\n69832 74308\n8362 36311\n16507 22228\n2197 55793\n42150 96002\n49433 67377\n80096 81558\n1432 61427\n61140 71206\n43556 46095\n29573 87067\n70769 75968\n12284 13145\n7417 30303\n69226 96537\n41092 87393\n80789 91195\n43305 74022\n26681 98685\n21023 86670\n89615 92508\n22784 75159\n31617 39022\n62688 92358\n57879 68252\n46792 88857\n58246 92898\n72093 82031\n29367 89534\n16967 54886\n179 39012\n46016 60728\n28633 59472\n62452 77525\n25689 85429\n73994 74673\n15698 48436\n25602 98901\n31882 49791\n34141 54008\n5225 42397\n1046 41916\n14735 20206\n32118 64203\n63956 92273\n15469 56158\n18532 23840\n12800 32093\n86197 91890\n42418 52340\n575 864\n12413 20249\n13418 67744\n1195 77893\n37272 48584\n18651 74032\n9204 93861\n24750 88452\n28789 58479\n53253 82531\n53109 90096\n4550 36586\n41464 95412\n14034 87807\n52740 76310\n49882 94631\n63667 93229\n22062 30496\n304 43701\n21214 38816\n9519 59969\n37982 72197\n22042 94243\n50178 61469\n55571 92624\n37035 98202\n41780 92175\n34254 86720\n62407 73824\n54064 63806\n24645 29405\n27808 81373\n18293 92739\n40363 86381\n10804 95937\n9593 87906\n7949 80195\n9218 23531\n30456 34736\n20739 92043\n119 90959\n55589 85294\n23620 47796\n7180 33452\n36357 70614\n20561 52986\n16841 91902\n9505 69116\n21609 53192\n83487 94549\n20785 24896\n45195 73182\n21135 78719\n65720 67052\n36633 96956\n36728 40732\n186 64286\n11586 45555\n46718 73498\n39886 75391\n39322 95921\n22812 62572\n76391 85733\n30175 73972\n48544 92600\n15472 32780\n13035 14706\n40942 76352\n11715 90484\n85085 97467\n19179 68679\n1412 45358\n12468 97467\n5622 71018\n31811 99082\n20335 78062\n6911 71780\n4252 20422\n27650 30144\n31 6689\n813 57090\n1644 76820\n75964 96407\n21489 41157\n18870 36103\n81826 93631\n58491 70207\n2919 24281\n27880 96024\n4787 74705\n26128 92405\n69081 86974\n8654 73134\n34769 85331\n62228 89779\n18900 35328\n8354 32271\n17590 37572\n52861 66769\n16434 56471\n18503 91690\n52078 54763\n22872 27153\n65215 67800\n40194 69267\n18731 21030\n60801 83368\n58762 79619\n42210 97486\n2582 27517\n43779 66330\n1540 50982\n52022 88610\n46031 90102\n30383 99190\n88886 97011\n40590 58181\n10782 69446\n27485 84585\n49646 88371\n13485 69548\n60104 82921\n8391 13406\n7647 29644\n58678 72805\n35963 71056\n14352 70173\n15623 56294\n46554 48597\n6103 12658\n60010 64194\n19634 45434\n54775 59265\n2388 35407\n31084 38840\n67402 90711\n30469 54393\n42010 43931\n84426 95141\n63912 99828\n84987 88742\n62531 66706\n94547 98336\n9992 98747\n7067 29697\n3902 6104\n54509 90654\n18910 68275\n26323 85211\n8275 64105\n1918 4979\n32122 95112\n22782 83916\n18985 30405\n39502 43898\n631 36310\n33954 55182\n15519 39418\n5477 19722\n94080 95471\n24301 45868\n3004 90869\n31297 89194\n3348 81985\n34570 91378\n11370 21240\n25503 26005\n5575 45826\n21776 83738\n35980 83960\n38871 82974\n37910 64664\n33271 91375\n42442 63737\n34446 40297\n9171 71144\n29816 79329\n9344 12728\n3364 55232\n42041 53594\n32883 93018\n94087 98853\n32123 60295\n46916 60286\n2955 21760\n17093 60842\n22531 59428\n27281 38545\n1256 93118\n11677 84055\n875 74436\n7024 43921\n26735 34869\n8435 59201\n48293 95026\n19146 52594\n51391 94636\n17746 27330\n26544 61218\n7928 42991\n18221 36125\n32080 42614\n51313 69046\n42988 92252\n22452 49119\n36063 78205\n15824 41452\n58188 79519\n3031 44396\n2729 42365\n2151 57688\n71835 88788\n33803 98578\n43076 43384\n58409 73321\n4873 46086\n30152 37353\n58701 87911\n78272 93110\n21876 36280\n15949 60545\n3285 87911\n50147 92240\n29767 37729\n16839 41131\n47746 98853\n27682 50003\n17514 75917\n22883 24598\n9379 30132\n17457 22997\n75087 90798\n27144 45657\n19055 42879\n30116 87396\n13312 13396\n40079 57700\n7837 94745\n52509 97520\n33351 79788\n12943 73404\n12002 12050\n3028 70181\n67924 91380\n4977 90678\n72309 81596\n3085 96561\n39467 74570\n34850 42436\n73036 92636\n42807 82867\n3068 40985\n34013 60699\n37365 38838\n25876 56786\n42576 83426\n44613 62199\n30843 51054\n84879 85019\n28269 45693\n25060 57987\n4969 70364\n58486 61123\n28253 47629\n18127 89342\n16092 81376\n14188 34743\n52712 89329\n19123 81111\n28334 33464\n37133 86797\n49649 59607\n39641 95152\n52972 71036\n9140 56176\n21469 25371\n34144 65675\n54405 78921\n115 25270\n6196 16158\n5561 88672\n27149 74092\n7406 64265\n40088 94171\n16042 24345\n3538 78852\n39713 49853\n39051 58008\n22722 28733\n54037 69530\n11357 18654\n48755 82120\n29847 71921\n24403 55481\n94849 96926\n26130 38093\n82884 95800\n33279 61050\n18228 34076\n41307 61981\n12114 87600\n12023 72039\n18374 76402\n50842 97864\n76947 78256\n7977 98794\n25643 85793\n53370 78875\n65321 68711\n52496 59374\n10031 18894\n10769 45490\n50557 83158\n15368 45145\n20859 93871\n31222 40090\n65708 88732\n38422 46284\n7380 70424\n48976 57182\n49658 57523\n35868 83232\n208 48969\n15710 29368\n27777 67129\n43089 78803\n17817 35700\n39435 81140\n2779 86839\n4032 87092\n47376 58380\n14393 48287\n49396 87446\n23282 43013\n15919 38283\n52817 61219\n695 26034\n39388 62435\n54739 62111\n60783 79961\n3575 34346\n1526 8535\n14374 87437\n59832 99106\n48512 61857\n4652 54868\n25438 54594\n59460 99580\n6578 39200\n47812 89086\n23532 91592\n36458 72324\n1212 65269\n50094 59587\n39939 57394\n72166 77534\n58124 68636\n44152 54194\n24343 29968\n30539 93892\n26136 80196\n30857 31641\n44485 92607\n7791 30077\n14867 46467\n28331 47790\n15923 28182\n61308 99311\n72475 81313\n3329 28773\n5179 53099\n23927 82955\n16903 25610\n15155 37941\n3596 9642\n52847 79913\n26743 85424\n82096 98607\n81469 97240\n10586 22990\n43023 71252\n66113 91695\n44902 67913\n27727 59494\n22761 84662\n23135 66386\n4457 46973\n8674 65516\n31820 35482\n12139 55464\n5225 55154\n78413 87034\n50755 84318\n13253 83570\n34868 92992\n6597 22471\n49928 92622\n3115 86916\n40071 87273\n7889 39090\n47145 55049\n33839 73813\n40057 78525\n23463 99158\n32489 33986\n70197 82288\n86007 92252\n56975 98987\n51428 67001\n15411 81550\n26198 89792\n22269 60468\n8312 58892\n54592 78416\n47313 70493\n14486 45873\n67991 91204\n29011 57042\n25033 87683\n14920 32276\n12842 58461\n56143 77839\n59351 91996\n40238 59241\n15166 33612\n6469 67660\n25630 33696\n11077 30355\n58363 71744\n76855 91998\n19051 77049\n3042 94492\n18089 51032\n4202 69951\n15795 67642\n61111 99813\n53960 58431\n43829 72368\n11019 18425\n524 55932\n42802 53948\n51705 53355\n13210 54234\n9376 71260\n31705 62035\n36571 72969\n61201 68373\n43151 52942\n5105 29171\n12590 86768\n36215 92121\n23644 57771\n31081 86392\n14343 29939\n56696 77054\n58029 79968\n8861 90150\n58065 64282\n47590 89453\n44683 72630\n2177 66575\n22240 99712\n23843 79622\n33444 70047\n15217 58622\n27660 79658\n30051 53548\n48514 89273\n19024 50306\n24555 93383\n24654 55689\n8978 62110\n36378 79094\n42228 78369\n16733 61503\n1541 45808\n63081 74114\n16039 80841\n95388 98148\n7044 89665\n16864 61574\n91722 98284\n28699 87336\n14490 62635\n21509 85725\n56961 58120\n45275 58972\n28998 38716\n93167 94090\n8314 41997\n12093 35687\n68520 71287\n75912 86779\n28918 34675\n1025 26211\n18982 30695\n31880 93659\n51342 57323\n48929 74585\n763 7898\n75548 91140\n5228 96704\n52506 56585\n34775 83125\n4344 51962\n61250 90777\n42013 54630\n20891 54717\n13081 57082\n9206 99471\n23332 26130\n13068 47243\n20412 21970\n12268 41403\n14424 36592\n14515 52572\n26965 80605\n6257 32969\n3630 80823\n26034 52658\n47743 94328\n58809 95457\n11843 89521\n39816 77572\n3996 42707\n19936 33242\n22325 35871\n24753 59613\n38645 58197\n70938 73193\n82141 92851\n8486 11701\n71141 71769\n52475 66613\n55370 65051\n15075 21898\n18409 38345\n68796 70740\n48120 96207\n2626 53332\n27724 33518\n26052 70444\n17277 89786\n25950 56204\n2765 21143\n36605 82079\n55699 76400\n71535 74270\n12149 90473\n25743 71303\n3049 82551\n29199 73726\n43663 56951\n43998 61144\n17262 51952\n14619 43994\n14694 82746\n27633 29181\n34393 98673\n51462 76496\n86722 88445\n58407 79203\n9721 51231\n36551 36605\n5685 42748\n931 64423\n11069 91246\n32456 46852\n38475 57969\n28664 88767\n34807 46662\n13090 88497\n12708 51255\n52815 73798\n57742 75790\n10745 66949\n1583 44164\n60424 93383\n36401 64551\n40982 79157\n15803 93920\n2268 78227\n54893 86957\n78351 78705\n36387 38710\n21564 67424\n38351 94309\n2820 12645\n21720 67456\n10130 14122\n52131 96183\n57482 92295\n82731 89291\n38378 83994\n25312 25850\n20221 67281\n32564 51182\n27321 66000\n43371 90502\n44933 89432\n12430 53735\n34585 39601\n28424 95303\n25675 59717\n444 35924\n15934 45037\n60376 95471\n58893 75028\n37505 53173\n35520 99365\n52063 80184\n7352 25542\n19542 73225\n18855 81305\n36992 73703\n59576 90167\n32916 35217\n17596 76403\n65011 66544\n91510 94832\n263 97121\n18131 96022\n22626 56178\n52516 85767\n30452 69194\n11849 91604\n17211 93741\n35486 43215\n61246 71193\n6911 58580\n45624 48884\n5406 7050\n35362 54117\n56528 58647\n34413 69604\n72303 73566\n59702 88564\n10052 14219\n35758 96451\n66152 93014\n77334 94963\n15320 40131\n24245 57042\n80496 88283\n4112 94381\n34267 76356\n12064 83360\n9906 27646\n87300 94439\n11081 80348\n51519 86848\n33296 72624\n65556 80937\n11966 90355\n8606 19610\n18961 92334\n7629 50042\n14341 41214\n10224 87209\n8131 63597\n20824 81315\n32012 78029\n16962 41021\n39080 62149\n91600 96635\n36473 76022\n66260 96628\n47620 50080\n31658 93834\n70253 90017\n4218 98952\n19656 36429\n17213 33549\n51589 59577\n11477 93894\n60824 73852\n70353 88093\n37722 45482\n8725 48806\n50157 86638\n2686 86116\n17044 75834\n56314 70895\n74447 98497\n32803 72952\n53982 70576\n76994 88025\n25052 36575\n3877 79132\n53279 61221\n61959 89088\n48089 80812\n67 52122\n51183 77274\n1204 52589\n6260 35903\n7271 24277\n6901 50755\n12693 84602\n28291 91187\n44291 85207\n81759 95396\n52170 97551\n21721 26593\n75957 93796\n12319 48225\n36705 48475\n62311 85995\n76608 91442\n21179 76383\n7347 20499\n41633 42365\n79652 82336\n29456 91849\n742 77229\n28222 89425\n38603 56606\n15974 76667\n13489 26067\n37313 53727\n2993 84800\n8793 52204\n22300 85159\n39850 89224\n19747 79567\n1799 37155\n51865 76399\n15613 71380\n21400 28047\n13373 61445\n2680 6198\n11542 96491\n18280 32798\n54098 88286\n87803 93167\n11275 37762\n4278 89048\n42768 78690\n17962 27936\n38782 51322\n29608 69237\n86859 96062\n68588 91634\n20443 85650\n7484 27751\n43969 74394\n26607 27835\n18924 54561\n78545 93406\n3193 69451\n14467 80397\n10315 10432\n8139 33375\n49775 96176\n9197 24246\n5906 71226\n26859 83437\n69273 72655\n39144 44094\n48985 81805\n68086 91964\n43604 97852\n23660 52907\n20165 43470\n5049 85906\n65314 83306\n41114 41378\n51354 88654\n30967 96892\n54599 81018\n20889 57435\n47403 98920\n5112 83201\n9968 58595\n4340 56627\n8251 37383\n35451 35895\n85193 99938\n54794 98162\n6206 16870\n71099 96887\n27420 29822\n8252 29623\n81157 83149\n52774 91782\n12783 90422\n38780 46739\n47804 83731\n68411 94240\n85426 88759\n6624 76985\n40546 70200\n3609 63941\n11769 47979\n30836 78004\n17056 49462\n6419 6671\n41436 69197\n18221 71110\n36216 67539\n55085 91456\n9222 63189\n38945 42557\n2667 35171\n35733 73274\n31956 89609\n38037 98200\n12333 39335\n11485 27233\n50747 70802\n18468 84237\n58852 84375\n58489 60319\n39136 87384\n40041 46593\n26499 77770\n7123 50499\n25850 83673\n13583 78627\n43903 85253\n39569 58800\n10209 95632\n30969 98052\n60522 79132\n35111 68214\n12045 39155\n47309 96632\n72760 94598\n1794 64362\n38726 64625\n34445 64424\n13040 60483\n35104 73163\n5329 91542\n6558 67183\n27563 66149\n17892 55208\n4141 51082\n27726 30879\n57997 84977\n58884 80332\n46770 54103\n26913 46472\n1384 89634\n44525 58221\n61512 95677\n23176 84458\n29038 47512\n12563 46107\n40240 76443\n39508 65102\n50870 83355\n6657 86400\n14129 67530\n78520 81322\n52138 69183\n22662 92814\n20280 72040\n4468 60377\n70434 95243\n56651 63137\n48796 94830\n25731 62679\n15535 35180\n7172 71768\n575 24970\n6897 13921\n31681 71115\n61128 82929\n12988 59098\n24449 31506\n55547 72368\n31763 50939\n15005 93092\n44983 75588\n35332 40501\n23260 38207\n10794 85261\n56467 67908\n12892 31121\n53322 78333\n50557 82278\n10550 99941\n59779 80904\n41552 66312\n23335 50583\n12784 96165\n46959 86608\n19429 95471\n18698 28564\n85307 88888\n33864 88509\n40288 91120\n16109 68249\n2455 67146\n9003 57530\n36133 60116\n9121 75135\n32790 43147\n9666 27674\n10611 39941\n2184 3931\n2539 76809\n7290 22685\n50134 76991\n10630 80781\n8943 51686\n34558 78511\n7538 60647\n66010 68398\n31339 51498\n33472 72446\n31119 77488\n17598 54871\n28301 58723\n46769 93923\n16576 35411\n63235 99274\n17787 69273\n6199 14759\n75071 99603\n63817 76498\n615 52151\n42438 42593\n68362 81639\n29800 58895\n19076 92228\n13709 86710\n72043 88047\n15979 28181\n4471 38531\n19902 33472\n36724 77205\n41945 43177\n3287 35468\n33035 53552\n6061 10959\n6232 35269\n5498 37949\n14510 31680\n46259 74554\n53346 57703\n32049 80090\n48264 49640\n42415 68763\n31823 96016\n14131 58605\n43403 65708\n27677 61019\n56903 66471\n21115 77127\n55063 85531\n39948 73398\n34042 62157\n74541 86965\n6146 52902\n29177 47820\n14429 88434\n72515 85250\n23886 68442\n15571 97893\n12528 75396\n52958 57525\n65247 88039\n21764 48499\n68389 95470\n9201 35264\n32628 55762\n8665 46461\n18168 87640\n12298 15151\n84452 85978\n61118 89193\n32103 36452\n16006 23097\n48572 63784\n18220 64753\n30401 56707\n35840 57426\n67860 81817\n2787 84795\n15302 42893\n51681 81814\n38183 87887\n17236 87150\n11530 43989\n244 7535\n2206 48651\n13649 53979\n56048 62968\n60263 84330\n14839 86887\n60643 91272\n37131 72583\n76240 90645\n14608 54007\n68285 81867\n35215 51118\n51335 59977\n79298 86766\n44226 69740\n33530 74287\n16078 26698\n43967 69514\n3102 23631\n13852 36048\n18144 90497\n67136 72924\n41593 61418\n26357 49939\n6215 15564\n12677 73856\n24996 48170\n16888 68794\n9995 74759\n53213 80929\n23737 36829\n27834 40870\n33205 51373\n13985 70069\n22474 83526\n9963 62311\n15291 51061\n49610 68059\n43374 77513\n53168 91340\n9761 96985\n49082 97163\n13008 50442\n14335 24189\n6242 28001\n46567 98690\n28206 50961\n75001 90567\n58735 76763\n18904 69548\n19392 46250\n52556 73321\n53563 94096\n27648 53093\n48874 87284\n71339 77070\n15100 48642\n29643 62044\n80978 84449\n30056 72037\n27916 72113\n47652 62537\n47485 60232\n31209 59291\n81783 89005\n20452 72517\n89850 95168\n4115 25565\n3124 10689\n19520 93945\n36000 98308\n4405 47673\n14396 35590\n35716 52413\n3405 82271\n62693 69166\n61115 99136\n72700 85888\n85508 86409\n7251 89874\n21577 26693\n25299 65918\n92524 92537\n13769 58452\n50638 56168\n18363 35608\n35619 91959\n5453 55407\n46330 54258\n59803 96775\n18507 96418\n35829 70975\n68939 81637\n68229 86594\n59249 75461\n6583 18977\n7250 54284\n89613 91026\n9386 12793\n16675 86414\n21148 34267\n8427 24237\n11599 82939\n8413 12860\n3761 59747\n3704 20950\n41442 73130\n23135 69399\n48602 50048\n3949 89469\n14822 95933\n50767 54402\n20261 54041\n51181 82295\n15627 46568\n57087 66780\n43311 94249\n13408 90625\n6815 77877\n4854 76606\n55121 55625\n74245 90280\n71666 93496\n16862 84874\n50859 74528\n30671 75339\n30344 71401\n48778 83836\n40949 93841\n87935 97914\n35354 35749\n15009 86045\n66267 80654\n2516 98278\n12132 40986\n17488 26856\n41581 66774\n1114 84894\n9402 67978\n17828 58578\n68752 90780\n20502 52195\n43213 90315\n15027 17921\n21041 71839\n26214 55118\n35971 70079\n14784 46699\n8645 16734\n87908 96105\n22470 34015\n39779 94681\n67989 80373\n37916 41948\n15621 95190\n2423 11509\n33078 35445\n15489 92506\n21982 55792\n513 29994\n489 83036\n11134 15665\n26688 44753\n26542 53150\n84615 84661\n38248 46680\n40945 88296\n48943 62580\n39038 52912\n52974 93493\n25035 45640\n5640 84751\n34119 57678\n66423 90519\n17345 91768\n2968 68885\n23330 64249\n60 78597\n48009 79775\n9867 83430\n38457 75370\n20378 46466\n57305 79542\n13698 73953\n54151 87260\n26728 90474\n20360 44242\n55614 70120\n65327 74511\n14874 15359\n15533 86258\n29162 36153\n56146 80129\n23006 48750\n8382 27370\n63057 65224\n22116 74357\n39425 83630\n35135 38318\n23157 96824\n52365 68887\n33365 51496\n25742 89249\n37292 93782\n7745 21409\n64481 67363\n13354 31135\n61386 81890\n31960 74330\n22768 94536\n34632 57581\n53158 85967\n2676 73279\n31410 48909\n83227 84731\n63036 83919\n29929 89550\n73338 98635\n28018 72018\n57785 63209\n7677 37543\n11333 82090\n43990 96881\n53337 67700\n6124 72407\n20341 61872\n314 43764\n15942 65192\n6471 78893\n42722 77704\n19807 52383\n36037 41144\n19074 79828\n32818 76754\n36263 88387\n43051 50042\n15837 89718\n26283 96517\n44982 78367\n87547 91548\n18568 92029\n46691 97080\n37740 97550\n30305 60121\n5778 29195\n44302 86352\n52582 91860\n64356 75361\n16468 68622\n29866 55343\n44582 47714\n6465 16251\n1715 80409\n20517 28525\n5859 34436\n74670 93721\n97108 98793\n2675 97635\n48780 96885\n54131 68732\n76567 94211\n9502 81713\n46698 61505\n12696 44926\n9509 95117\n42509 65234\n29693 56608\n35830 36475\n12562 26554\n73286 85191\n55552 76102\n25915 47490\n20534 48519\n16998 68571\n22994 90729\n15360 63710\n65990 86371\n11995 32378\n14444 34661\n72689 92621\n35945 62700\n13605 57221\n34647 63595\n80515 97246\n622 7614\n825 74678\n2304 23552\n48512 93638\n28078 54608\n75283 88189\n46893 46954\n13127 57533\n64963 92190\n37454 91635\n69590 97334\n12683 59633\n1319 27825\n12277 47591\n79175 99390\n25869 50681\n28909 43324\n7797 85729\n52801 56492\n95849 97562\n33531 54061\n3606 3835\n67010 94383\n23346 60674\n89338 89879\n46377 47355\n49076 65869\n57359 92195\n12533 99767\n30013 68368\n8994 17673\n16687 65276\n51852 92641\n33516 60191\n61864 82047\n19790 50136\n14050 79773\n14541 16171\n49324 76573\n78294 93403\n1454 32700\n35947 87617\n1521 46680\n58549 94874\n12185 21886\n38968 67624\n28117 94322\n72593 86058\n36414 86670\n28702 81759\n88775 97935\n60852 72349\n33440 65870\n75534 76712\n31241 64114\n1526 51456\n28472 68469\n30055 84476\n1244 66282\n16292 88399\n40141 70311\n15410 46294\n4316 59076\n14271 28249\n18654 97377\n39185 67829\n44484 68091\n60125 64333\n99417 99578\n1490 80120\n1849 53835\n15092 48109\n6261 45880\n5477 80234\n9406 30653\n48859 81097\n31902 61298\n4690 79264\n29912 84100\n19577 57331\n11392 16519\n15299 66867\n21567 43013\n18432 58773\n75315 94888\n19915 46486\n58 2277\n7699 61219\n66518 71290\n53430 53637\n45616 58546\n14495 93958\n16441 66350\n59246 66827\n332 16830\n87350 89000\n4335 16897\n19733 44182\n88408 99187\n8266 70345\n21068 34698\n17465 90119\n56216 76440\n6514 56318\n58582 93986\n38160 81032\n96681 97273\n7335 72781\n37315 44922\n69546 99449\n33085 41871\n75802 89950\n35311 80909\n12199 99687\n62140 96304\n28388 43213\n12629 70269\n23241 26575\n35997 94977\n4110 8689\n33779 94677\n19274 68346\n32952 77991\n15493 39469\n11778 20910\n10377 52618\n28704 33951\n33761 83629\n20060 85889\n46928 98490\n22265 67250\n11902 43531\n31774 93234\n55786 69468\n8611 76742\n32981 42081\n96947 97684\n26222 88108\n42467 80198\n65036 99081\n84035 98177\n8522 27093\n14106 66207\n7519 37417\n28736 59646\n33119 65768\n30015 33484\n17253 26446\n35593 41405\n50545 78238\n26975 44444\n47371 94654\n34749 34898\n19513 34517\n16225 59311\n55850 78647\n31350 56981\n47620 95259\n49010 82572\n18682 89013\n8349 28836\n43371 84937\n14101 58073\n30936 83583\n18617 25192\n23233 93297\n5633 24534\n7143 39329\n25356 34334\n56341 72986\n4353 68537\n39878 81183\n26269 70429\n25973 54024\n71414 79711\n7547 19524\n6099 47512\n27826 32337\n44087 60443\n6098 86264\n19646 57111\n49577 75408\n16823 89325\n15952 26392\n70598 87378\n11512 49708\n27896 90064\n92786 95904\n24434 83184\n13804 84798\n87020 98994\n28767 73090\n43617 96498\n48236 84551\n48740 68018\n54929 74361\n74745 99480\n84947 94787\n38122 61447\n68501 91268\n55840 66101\n55364 95695\n4325 53847\n41448 44736\n50147 81609\n49217 94254\n11305 76882\n6215 40588\n34092 91279\n55686 59490\n33041 59578\n13845 15447\n13340 60974\n62178 97459\n43413 49971\n33358 48667\n32439 38101\n85449 99729\n12459 33326\n31283 84744\n23595 30932\n20113 37806\n29956 62515\n72148 92053\n18431 59286\n25428 67633\n40120 95390\n6295 44000\n48529 97861\n44350 86878\n1643 81481\n65857 81700\n245 39129\n30242 30520\n28735 35745\n94808 95554\n33109 37591\n7400 19544\n35529 48677\n4919 26136\n28429 70066\n41573 78110\n35735 36040\n23427 56895\n48445 80503\n49919 77963\n32671 98900\n40720 83718\n28709 95441\n9902 95467\n10069 27076\n87737 88991\n67877 92199\n29832 32986\n11806 38871\n41449 78208\n54754 79038\n7513 99098\n10708 97458\n57077 95464\n30108 91182\n4354 74150\n26088 94171\n16527 94898\n33804 87967\n19147 49869\n16625 42771\n3325 41788\n41254 75489\n5510 38869\n47706 52465\n41858 66348\n38466 91200\n14008 42342\n14596 80923\n15562 91861\n52545 91778\n2134 85407\n33800 97474\n59519 78238\n7570 48570\n5163 84081\n83124 95259\n19147 82019\n77108 89675\n31592 41945\n1600 67803\n8202 73413\n39702 63663\n64428 66932\n2215 85802\n30252 70510\n81952 98651\n44235 76739\n9356 25171\n55298 89911\n8754 98356\n4209 36026\n14235 18686\n4247 76131\n19644 70448\n19388 48172\n57203 77087\n29984 53963\n5268 31651\n13813 91986\n8827 32923\n21326 32115\n4575 12386\n39294 61514\n42433 87072\n5591 92380\n37920 83871\n55551 67814\n8973 87651\n18731 45681\n33856 34387\n22139 39423\n74374 84814\n24427 78842\n88286 95898\n56912 62474\n51959 89963\n50074 68262\n40335 52176\n40100 63317\n12918 48115\n142 77166\n88844 95919\n3461 10083\n24797 53972\n47115 95863\n89972 90824\n18649 93275\n26842 35452\n76567 77175\n29798 43658\n27540 58090\n46214 65456\n15297 22611\n7196 79610\n42094 83879\n8892 67782\n15869 96047\n43417 47261\n41 51613\n21730 71433\n6491 56701\n5280 27519\n74361 95815\n90499 91825\n11562 40444\n79821 86089\n40364 96425\n24217 31614\n56917 74635\n41320 63606\n79457 98324\n22740 88973\n18795 91070\n32283 42939\n59142 68239\n27730 38486\n15063 20860\n56945 63932\n336 74971\n28998 34174\n58651 92538\n8535 22292\n37235 52484\n76817 82746\n8393 10077\n50828 68157\n11238 90236\n69150 99426\n7814 43139\n56238 98696\n6302 45194\n3824 29057\n71149 92531\n5680 82577\n56034 58065\n69732 91963\n12901 74346\n36207 97389\n10652 81309\n33092 52206\n50243 76854\n40225 62377\n26831 91113\n27924 67519\n17777 94325\n29756 31831\n15629 42987\n13409 69802\n28596 74353\n24938 69465\n38454 58620\n4861 66698\n65225 68648\n33720 43020\n20240 90948\n21843 58489\n19369 19508\n18223 75621\n9980 91326\n49786 87388\n66153 73030\n11846 69799\n28963 31591\n1947 49901\n7912 17216\n45536 54376\n572 30640\n59699 69650\n30665 63158\n9738 91494\n46915 98481\n96944 99877\n14689 93494\n11971 12567\n43385 50161\n69050 88773\n46195 60513\n61722 89306\n7081 18710\n19848 70197\n61177 75513\n19874 58109\n24656 49803\n42846 78166\n108 24035\n15925 85342\n16811 34288\n40943 89123\n65379 80332\n2108 46906\n33898 40026\n3907 50611\n16380 85783\n95018 95482\n34295 73038\n38233 76077\n46157 60201\n89494 95807\n82057 82831\n84829 93696\n72786 73886\n14331 92790\n87603 91924\n82859 99110\n4894 28825\n10919 37608\n3237 26484\n14963 74517\n13517 38709\n34834 37655\n22931 70457\n31906 75877\n66244 94065\n17985 64611\n7211 80255\n82037 98036\n24292 31707\n68326 83208\n49499 67851\n44248 63981\n4385 15322\n66857 75997\n49255 73537\n53090 54772\n21463 42466\n22497 23426\n14173 90413\n11964 53912\n16794 63381\n63492 90452\n18359 59609\n24433 76441\n20626 50173\n920 70384\n3780 33279\n2857 84562\n29871 79695\n35316 69217\n23748 61204\n15820 97643\n51754 96563\n3693 15279\n22541 67073\n31553 34605\n24282 27686\n54150 77710\n55145 90658\n6896 15494\n35276 53209\n30947 58749\n60868 87642\n10533 95804\n59443 80475\n51264 77135\n61629 65288\n72969 85415\n9411 89916\n48066 93603\n50453 65292\n33774 97538\n9949 17972\n23733 39731\n61374 76792\n52531 65853\n33364 45462\n50955 63883\n69085 83488\n62389 77471\n86323 93933\n23326 63640\n59271 82051\n23674 32548\n12482 84323\n16570 37038\n80300 81743\n25927 40137\n77 75968\n61273 79236\n30154 60708\n20547 55780\n54911 79028\n23629 48140\n36415 53369\n39383 83441\n58488 79611\n42939 55325\n7412 59899\n45526 65605\n82948 90936\n673 63147\n21191 59520\n9188 16096\n57666 60292\n18321 70402\n3271 41448\n69961 89438\n17904 98412\n74426 81172\n38474 62736\n6567 9228\n37224 46772\n6476 68973\n22708 88822\n60695 84458\n47918 49111\n74575 93884\n35851 78237\n39227 61365\n10586 57785\n37345 61214\n43306 59392\n2939 89777\n27555 99849\n17602 93769\n32592 72464\n5459 13527\n15532 97497\n10651 16280\n31900 84213\n64503 70607\n51066 55931\n5442 50179\n59143 74398\n43945 86397\n52848 75158\n13818 72419\n49166 83822\n62386 63073\n30271 82230\n82943 85224\n43014 99916\n2821 60330\n2357 76188\n61128 87255\n52966 74637\n32050 98452\n53173 97583\n2904 95720\n51871 60344\n32100 45058\n47255 86092\n54120 67556\n30479 39894\n16843 82957\n61678 89068\n43732 93233\n18597 59432\n17965 83833\n13132 37997\n46541 68556\n28358 87394\n41895 44373\n31444 59547\n23990 52564\n570 94686\n8383 22436\n63932 95227\n46875 57796\n3478 68034\n57211 93988\n58458 89511\n41115 48338\n10404 68196\n730 57994\n2276 33550\n21203 24147\n62152 65457\n435 63519\n49553 79104\n5871 99468\n12300 80710\n53418 71260\n75689 76568\n18493 87248\n49123 95189\n70448 77021\n14844 86898\n21955 41129\n63269 97197\n5422 7747\n35702 85287\n33654 36940\n48505 70074\n18907 45304\n36214 95487\n2646 73739\n40932 41364\n31981 62594\n13834 68644\n1324 58350\n44525 47688\n81524 89430\n229 45384\n54610 77171\n3020 87758\n28096 35152\n55735 93875\n76539 80740\n43355 82964\n69990 71734\n3269 14589\n57570 62193\n10531 11196\n10302 96812\n44210 71942\n8578 41575\n32854 37843\n13190 32027\n25940 29621\n28706 36077\n49898 86240\n20497 46628\n22817 96684\n10854 48206\n49926 52059\n28066 85189\n24570 92461\n78203 92704\n54766 67001\n29505 44205\n70829 76414\n61609 77876\n34594 49293\n30304 74981\n72031 87802\n14768 94794\n16392 41886\n13171 63212\n8505 97217\n64144 71784\n41472 86392\n8656 27054\n3086 33745\n60657 65458\n44654 61200\n59496 76383\n36125 84218\n1168 97342\n14430 35415\n78240 95900\n17389 91173\n12671 67491\n60451 91131\n20699 68107\n43096 83482\n15688 81626\n86941 94667\n32176 39680\n48350 48700\n18459 69122\n72754 91443\n4887 69878\n7868 45870\n56683 76096\n45177 70717\n53246 74602\n32357 62685\n24881 54851\n4543 89127\n46403 88718\n13859 22038\n58383 93955\n44147 70060\n59190 97072\n41752 86145\n45278 81428\n7683 76265\n16228 87467\n30271 85215\n18200 26732\n91533 93057\n18744 37876\n6289 60164\n26491 53235\n6517 94282\n96825 99957\n45171 93577\n63893 85516\n72838 76473\n21479 76625\n13469 17893\n65391 79085\n80931 94050\n62869 92444\n43257 94782\n48461 51273\n17196 42308\n37084 95639\n3632 80137\n24000 41233\n15362 15376\n39282 78941\n17644 22524\n7880 21938\n51744 94401\n25437 99497\n17659 60612\n33711 49597\n3324 56114\n4449 69426\n12805 22898\n55484 71499\n10175 92816\n23071 81199\n23017 87747\n94254 99805\n40282 97151\n8177 98997\n65338 68654\n47511 87894\n27589 38466\n8434 89081\n28465 66816\n6486 6832\n59331 84745\n17030 45353\n29526 49871\n34041 55870\n78924 81020\n2277 18916\n62137 97943\n2390 24304\n11292 39521\n43622 56115\n78195 78982\n61899 89119\n55903 87065\n4030 41809\n2365 74094\n33341 67446\n9340 96366\n82129 96108\n23144 50969\n32227 56366\n49409 69229\n5512 28712\n42462 70727\n29205 33883\n16892 38466\n78322 95868\n82378 95765\n48763 87513\n5681 38257\n82627 91702\n33982 45663\n30814 50993\n92327 99917\n11687 49649\n3281 36366\n46529 69661\n24810 52055\n11128 16460\n16004 37393\n47967 63008\n69398 83819\n24265 48311\n67244 73559\n19809 56064\n23824 42445\n38802 47389\n43183 97474\n52308 68753\n3077 93240\n79830 91514\n30322 84682\n41638 59894\n17608 52748\n11153 45404\n14782 88722\n38582 71318\n13594 33922\n13439 48907\n44717 67955\n77843 84826\n27248 94567\n39679 80318\n31670 64431\n38886 64959\n6723 55429\n5630 35420\n15015 97927\n16300 17562\n14573 67069\n29912 79350\n10694 17065\n51865 97107\n12313 89201\n23745 96956\n35631 84506\n26615 94643\n22326 35054\n20960 22568\n40327 49272\n12962 19172\n11191 91816\n29291 58601\n7179 88343\n14892 73560\n1930 57218\n21250 38835\n44607 80407\n33950 42042\n28116 87407\n47686 89819\n29265 83654\n16077 36112\n1167 13794\n24748 58545\n30753 78275\n14390 64711\n12096 53813\n4376 11018\n42415 80124\n25679 84650\n3273 92265\n8192 12521\n8601 71071\n74538 87512\n62156 65292\n39197 65926\n85134 88959\n935 83627\n77899 92702\n4140 78362\n11146 67413\n65764 86998\n61628 84913\n52057 65665\n6512 54813\n40574 95709\n38551 74612\n46768 67154\n38289 59316\n29122 62247\n5239 17785\n26032 73841\n24451 99448\n83 24999\n93143 95184\n34085 40633\n1795 61477\n37900 82234\n11406 87762\n15513 58992\n63168 92552\n60552 78739\n27884 82646\n4666 25719\n6170 52849\n59833 80552\n19764 45686\n62585 77960\n25492 28180\n21372 59430\n58433 71970\n84840 97582\n44131 98458\n22025 75347\n40079 75458\n80566 99005\n44113 84258\n81200 94747\n21181 48582\n8285 84550\n34481 78764\n5540 54152\n3367 75164\n78214 86097\n34090 95545\n40227 63853\n79012 96934\n27405 85833\n8566 33353\n58887 98440\n54452 93362\n14696 52979\n34827 51489\n92523 97548\n23074 25321\n16671 61953\n13291 56157\n72982 83506\n4128 29840\n36618 92071\n61649 70232\n4480 54248\n27072 81515\n88177 88970\n4509 11290\n18539 59642\n3910 73015\n50593 85655\n3235 66867\n13284 88249\n89522 99318\n68478 86406\n53113 78101\n51233 62634\n4440 86940\n53668 75056\n2375 12734\n84506 92122\n23145 71723\n75604 96012\n5988 64195\n1637 11137\n1435 19339\n10289 84475\n22283 89947\n80568 84899\n51427 69766\n1123 43741\n25056 46875\n22114 98176\n30787 69994\n27543 34647\n33197 65283\n38832 77114\n11371 44285\n21382 96967\n11550 29450\n19388 42491\n58525 70538\n23276 76456\n5095 13058\n11011 94935\n3508 74942\n8243 69750\n19926 63233\n50531 62398\n5414 8058\n95213 96150\n31005 40970\n29340 92008\n40160 74836\n31142 73871\n31147 75983\n13746 85201\n263 72871\n14015 32236\n86898 96647\n77094 98665\n12775 99911\n16095 45527\n32803 69194\n13042 71825\n43972 54404\n12096 86785\n21886 79222\n48827 82178\n19872 70749\n31253 88021\n73811 97974\n2105 47384\n5881 46948\n80710 85079\n8193 61924\n56192 82698\n68061 81173\n22409 35319\n34478 96188\n14378 56170\n19635 25894\n36770 52445\n36184 81007\n44602 57587\n43394 60198\n9762 76176\n9930 53267\n77574 94350\n6516 57260\n5190 73745\n3819 35654\n9613 52731\n75162 77925\n20256 57672\n6367 7523\n4431 19213\n18718 57920\n18335 33061\n11793 98855\n45292 96603\n15060 99699\n27458 87277\n22280 31779\n42965 65376\n44768 47949\n73711 90202\n2375 99907\n3 26639\n15870 28118\n3196 54524\n4105 31143\n25605 73620\n10950 13083\n14591 78963\n35925 70574\n15207 49725\n41192 45252\n10407 35928\n27925 77351\n43570 94936\n24103 28897\n55921 97182\n46121 90092\n71249 87675\n40579 70309\n9570 44736\n82633 84585\n6206 73149\n38029 82539\n44258 80015\n31167 76155\n23214 95618\n32524 99383\n87263 90032\n41976 82889\n38877 62676\n39478 78906\n26203 30316\n32038 46439\n65216 79675\n23028 61257\n39395 52155\n25900 39543\n30929 95049\n17540 29918\n62131 84101\n20514 99487\n8029 80367\n46473 98342\n17108 24778\n49778 67374\n35573 51060\n36515 86860\n15376 96122\n2861 73407\n39618 66394\n41771 63868\n26882 51582\n91531 95102\n16890 49762\n50938 85233\n63707 98988\n72156 73171\n14476 48196\n504 78917\n17264 64953\n90909 96557\n45095 52149\n88393 90286\n30881 93817\n16326 90594\n68997 86350\n10228 43451\n60626 97602\n1332 77985\n17556 52499\n85088 90794\n50083 72090\n35706 57783\n14219 54751\n52164 68400\n10713 85088\n55562 73455\n45477 73927\n29956 67277\n29063 70846\n19149 65431\n42654 67532\n464 36995\n1377 68168\n53281 60693\n20714 47278\n46251 82983\n14334 98232\n38441 71134\n51440 67530\n22104 76586\n25616 73867\n4131 99302\n10467 31301\n62342 86591\n50212 83262\n61351 88256\n41112 85490\n21163 82711\n28736 73141\n17254 68967\n41266 67947\n46553 71827\n4390 56823\n47943 51138\n25515 73538\n30380 45020\n34160 45323\n6489 11169\n25411 90087\n75630 96649\n958 1816\n28347 96248\n5040 52104\n30589 68649\n59408 65313\n18947 84347\n62910 99904\n22858 45191\n60156 99326\n4042 31065\n26428 70737\n13564 60163\n18030 92965\n60080 66882\n43787 98228\n11953 15141\n7316 74905\n72404 81227\n29664 43661\n10844 20894\n33906 58043\n7181 49676\n52004 94203\n61265 95529\n28938 42485\n75890 99383\n80372 88482\n95626 99725\n56093 93976\n15019 55226\n24514 87568\n30870 86252\n13403 76499\n47348 48674\n19054 93109\n18438 97569\n78384 91812\n47806 87040\n82961 99464\n25611 85954\n19262 26994\n20693 94778\n27206 33379\n17774 99088\n65234 81679\n406 80693\n64188 68613\n75806 86305\n35667 86809\n8789 87665\n15030 78841\n42083 51465\n42143 62212\n39370 88125\n50370 66183\n2692 81045\n68654 79148\n86760 93738\n25399 70007\n11333 57579\n72259 78656\n27521 75638\n46252 91093\n7631 48836\n51658 61295\n21320 69578\n26706 43366\n63261 77610\n58314 66147\n67387 86367\n10890 68735\n57240 92469\n3591 76035\n92007 96797\n30382 97932\n9062 15590\n32425 83543\n62402 81292\n7857 49019\n34336 88988\n87761 93596\n12150 65494\n7686 65442\n17162 34993\n68961 80052\n79437 97359\n37565 58927\n57701 82583\n20853 81996\n12655 27797\n49408 73270\n58538 80526\n8444 66558\n15102 40284\n28353 64416\n65242 78296\n57062 87351\n27143 83554\n58583 98197\n75228 82846\n11756 32150\n37833 81842\n23345 60771\n27110 67104\n64254 81201\n172 75874\n13800 25942\n72267 90338\n18647 18710\n7225 57389\n30144 45420\n4494 69905\n40277 77674\n36556 79634\n12570 34999\n66399 77536\n23939 81639\n62246 76064\n23043 35136\n5756 51414\n12565 13325\n39372 93775\n59367 66288\n57655 71623\n64802 69859\n8371 69987\n7199 32630\n24785 95300\n10576 19623\n22258 33021\n70093 77293\n21681 79292\n26797 67011\n19001 52635\n20152 37957\n45999 95325\n68134 92490\n11120 28216\n21889 73547\n20631 47190\n26137 78239\n18622 44050\n11754 15215\n10900 18085\n21799 87134\n45421 82685\n5510 70108\n4076 90739\n50085 62905\n35566 75347\n32236 70562\n25959 77776\n11148 30516\n30424 42005\n13563 96214\n18731 67017\n30750 54244\n9088 82231\n6858 46747\n57520 78496\n20417 24094\n16598 78771\n9984 15011\n42633 57727\n10196 15251\n289 60484\n78324 87413\n55297 93698\n79878 98854\n15074 74660\n4894 45056\n74716 84831\n53334 84749\n55718 67077\n18129 88354\n95298 99008\n26200 43102\n10377 38782\n44181 84659\n7461 24647\n53920 97693\n48021 89556\n85916 98803\n21948 31365\n11801 91072\n18434 71107\n36537 86751\n62194 64581\n39240 78469\n3200 31765\n10078 55266\n2428 75690\n5878 23810\n74955 91956\n24265 25184\n2587 11545\n60769 91909\n23493 56219\n36732 94990\n65407 83081\n67167 85004\n48737 78167\n47399 79659\n10511 62331\n41975 56528\n43140 97735\n53466 60181\n15782 70154\n87314 89604\n32104 48037\n71843 80778\n6858 23582\n7237 54587\n29809 58457\n29508 83749\n19698 67428\n27381 87764\n2417 14553\n25054 90654\n8062 9582\n38775 68185\n344 71977\n425 60028\n63106 90263\n21337 31544\n66878 85927\n16461 33004\n64389 85140\n54663 86884\n23022 95270\n18763 47464\n3443 45618\n54891 80604\n29592 42440\n19477 75024\n29165 92186\n75316 79707\n61147 72447\n56915 79827\n63298 89784\n82297 99407\n18742 32856\n8886 80875\n30099 47439\n82312 93057\n11464 35433\n50561 94423\n21428 85875\n14454 94344\n5089 43085\n67547 70833\n270 49816\n19470 65004\n71380 72842\n421 57119\n37859 82971\n75934 88509\n22654 92080\n74449 98405\n54155 67794\n42050 91194\n21497 67975\n18045 79401\n30149 81740\n18711 51038\n28798 63854\n36739 52230\n3622 49039\n17895 78981\n73594 94748\n23510 49221\n13511 32598\n12882 96657\n3730 20864\n60330 77175\n1333 6548\n2884 29551\n65956 67932\n1899 10507\n49843 77120\n94375 99261\n11737 43574\n54391 58083\n12046 68399\n39662 86641\n14430 93942\n13602 52057\n23860 32991\n60168 73456\n88523 91029\n13944 32330\n16098 58773\n19767 80699\n37238 88843\n43660 43919\n33671 64492\n56478 99407\n52548 96985\n51348 56864\n86320 89587\n86301 95182\n70283 87691\n15124 29549\n11643 92275\n38844 50691\n79758 86042\n22700 52221\n78923 97958\n42466 93183\n11906 92499\n23872 99939\n31935 68108\n43361 63439\n46286 82976\n11896 38254\n25270 36074\n54492 78947\n14555 16138\n55211 91198\n3659 38481\n36567 86786\n31161 86470\n23088 57113\n40332 68761\n20697 55454\n21990 59578\n2629 67597\n558 33423\n74926 85425\n3838 85319\n83954 89404\n25871 62540\n28075 52898\n53979 60593\n66342 85579\n60749 73666\n32245 35748\n4982 50526\n7747 37426\n23061 55682\n14231 19112\n20160 49768\n28142 84406\n54013 79803\n55829 70884\n32913 33818\n4498 36623\n35853 72246\n16067 45892\n14222 93263\n58995 94482\n54766 88017\n28623 61012\n25683 70422\n72164 77363\n902 41917\n61746 83405\n447 46535\n2042 51730\n44041 61029\n39931 52313\n39814 71677\n22899 74683\n7115 88558\n80916 87321\n19482 39595\n2341 37954\n25171 34252\n81456 89411\n12732 19970\n28159 63597\n59369 63301\n39376 53220\n7346 28906\n43913 91473\n4236 22776\n39889 41788\n53396 71969\n49711 64637\n1214 46753\n27524 97763\n4577 38295\n69477 93193\n26134 34370\n26617 29165\n8084 86301\n3723 49239\n18799 27662\n38594 52850\n2907 16408\n67986 81518\n59526 87137\n23115 97881\n86130 98202\n19904 58688\n80021 89334\n47938 76982\n41924 66162\n50616 59246\n32378 47000\n7881 20973\n22767 80000\n24781 84111\n49126 95813\n5203 22529\n14486 58645\n58382 61253\n1823 4919\n50745 96611\n73679 93335\n12670 79531\n31403 87995\n27721 82370\n68917 99806\n74229 87858\n62012 83204\n67246 91020\n46763 68980\n8142 15182\n56965 91392\n50293 84316\n34882 52537\n61123 99660\n24878 28274\n28229 44836\n60878 93434\n47817 67504\n28626 40538\n14929 25957\n57130 61926\n52432 81805\n40100 81232\n72452 79736\n44235 60385\n29288 58607\n64799 65310\n42209 58860\n16079 26711\n30858 51294\n28187 63400\n26897 91136\n5979 76428\n56879 62190\n29414 49033\n3434 85057\n14957 33555\n77598 89910\n39721 83653\n49548 61660\n71600 98774\n29475 58680\n28114 29666\n58120 80103\n3229 5932\n80819 89994\n31284 62367\n42365 43971\n30940 42417\n41799 48187\n5352 77690\n19319 54181\n3524 25363\n48115 82069\n1540 73242\n62422 65632\n26469 92314\n10595 74339\n26526 65557\n7847 23383\n3443 83641\n20656 72989\n83851 90818\n23202 80123\n36153 96462\n21323 66119\n89307 99251\n11845 58618\n8755 29311\n38518 72651\n48642 79166\n9535 38328\n65386 90164\n28945 46247\n14733 46965\n63805 73344\n4067 29304\n23179 39911\n67119 73236\n25297 79852\n74670 91949\n4439 38999\n32635 45667\n35891 94935\n51752 67139\n40276 68311\n7614 17124\n29811 97489\n69456 88640\n22487 99044\n31262 56214\n21776 27140\n29939 64296\n13567 38536\n32374 86638\n12737 74551\n33211 39079\n1003 95857\n4752 67964\n97497 98334\n927 33840\n44311 95577\n1621 15709\n6960 99671\n45158 53470\n61977 71717\n11269 56503\n38366 50169\n11416 37345\n3462 68972\n44233 61183\n7411 97589\n47261 98927\n66213 87225\n56873 85501\n90132 99982\n10745 89594\n26134 74012\n37367 40124\n2040 62470\n21639 54760\n70988 87448\n970 84233\n85509 92683\n15307 58445\n21001 61863\n18899 19212\n16362 92856\n42816 43651\n81871 88898\n15800 60451\n56005 88229\n52254 94710\n15942 86712\n28609 44427\n26572 62463\n22438 28188\n28522 38568\n9182 32837\n38698 51693\n61585 79711\n60190 60236\n53923 65879\n6482 82911\n750 26259\n5320 64726\n72970 93477\n7310 79144\n12350 78030\n14027 61759\n64643 89256\n89339 93837\n23451 85659\n1005 67019\n50788 96418\n49339 68796\n35870 66572\n4974 85993\n37516 51822\n29854 79098\n24748 59045\n8817 83739\n51382 80527\n24039 45155\n20590 26111\n17881 57661\n38348 38502\n28736 30432\n35588 56303\n19801 78876\n10335 66713\n63574 99340\n17096 20399\n10906 84073\n1350 67106\n2268 67642\n75427 88108\n16623 78965\n25856 37070\n31845 88537\n66621 81620\n1971 90743\n20012 57670\n79072 93482\n11046 90096\n9947 77883\n60002 68287\n6380 96560\n5501 28893\n4541 96088\n18724 36748\n61554 75908\n26295 91018\n8328 65322\n72761 84980\n19228 99586\n44887 51350\n36533 51139\n10461 60098\n17760 97223\n4441 88705\n32500 97647\n56512 64193\n43499 62753\n2572 86583\n9785 99450\n48132 64855\n3814 15982\n961 53672\n4132 23751\n27055 34681\n569 85690\n20466 53475\n5360 64611\n37558 39828\n33677 94065\n1884 23571\n19339 47619\n2434 40200\n60729 77757\n4747 6445\n49313 89561\n75539 96107\n35175 69932\n18151 51777\n15398 78633\n64759 95285\n50938 86275\n64587 88920\n31812 58449\n6829 33987\n72572 97737\n81035 90837\n17863 69631\n88 23800\n16213 54483\n52124 71904\n45268 56286\n60842 61911\n37930 99802\n15710 31805\n30727 77626\n49308 87513\n50327 69220\n47163 80458\n6535 72826\n37551 54315\n1594 36622\n8857 10890\n6633 48352\n6536 72152\n17052 69038\n20 80631\n42534 76618\n21874 73198\n39855 85617\n3650 99730\n49276 90987\n14529 89813\n68563 71983\n10983 82894\n11722 70305\n15111 65992\n7835 96274\n50617 96894\n39430 81694\n72801 92308\n35485 47953\n36403 81074\n7547 64698\n50254 75817\n1582 61119\n25925 86852\n66857 97242\n99551 99814\n43647 84843\n51079 67493\n14977 17328\n36398 70701\n23003 70577\n1687 56616\n43782 91233\n78292 79926\n11072 26554\n5960 23420\n88712 96025\n3665 66087\n23303 31935\n39067 79254\n37055 69207\n34988 64062\n13513 65856\n19344 94007\n83284 90996\n36063 81634\n66381 89426\n58766 67238\n39561 66602\n91670 93604\n11208 48949\n22165 80999\n11827 75166\n5711 59786\n12919 27036\n702 68194\n54400 94146\n33723 69909\n22159 58963\n66931 85688\n1736 63159\n61491 83370\n73308 73697\n33048 47992\n41660 84369\n39360 45441\n43256 89056\n43903 64581\n65313 92596\n19137 64124\n31469 57827\n13247 46300\n54310 57665\n14843 56824\n12812 67289\n36295 39679\n53251 83778\n13186 73673\n1521 34507\n246 90965\n89386 91020\n32063 70326\n31390 90017\n72513 81983\n24303 50381\n12375 90490\n29889 52135\n67546 77212\n87138 90253\n76944 77482\n30049 80287\n66311 75872\n7091 13567\n49340 68890\n8314 41369\n22821 41765\n77192 89439\n26386 86342\n58181 65460\n39259 77549\n2046 21864\n29979 32110\n30814 57589\n25346 65530\n52014 55585\n3002 31123\n45 71183\n3680 42786\n32838 40451\n45154 89056\n43592 51239\n42283 99384\n42516 57981\n38032 41582\n47155 79784\n31140 53170\n30304 92693\n7493 64928\n21525 59603\n17462 46514\n74076 85093\n43973 49391\n22190 90628\n27374 39056\n84368 90297\n47046 86053\n2639 7912\n4015 35011\n8005 78235\n65024 66432\n85814 88137\n25749 44383\n15914 29691\n32693 93740\n20051 29320\n19087 21839\n7099 59934\n16886 22864\n19348 88225\n51979 78079\n36780 92679\n38951 46715\n25416 80688\n84265 95257\n29804 93225\n23916 98698\n33837 47412\n70979 96370\n51212 95057\n29804 55838\n41916 82460\n149 19738\n25557 78091\n55550 84266\n14327 43777\n56095 93752\n11693 20046\n12997 18278\n1003 72073\n96412 97615\n24935 63476\n18155 94066\n14286 65802\n303 41980\n2286 8663\n25477 74320\n32478 37083\n7859 23500\n18422 52871\n2079 83880\n19485 38661\n68588 86218\n52128 92963\n9518 20335\n6415 99710\n49907 82361\n36809 76779\n18704 33823\n55332 65432\n30753 46305\n28144 43091\n30924 98997\n45037 66862\n22890 83918\n12482 83356\n6501 93320\n76327 88468\n33031 88890\n69891 88569\n26397 67661\n69517 94757\n59404 71496\n10294 99747\n1550 7027\n7984 31125\n56897 76209\n70113 93060\n67806 84146\n34132 77836\n60335 76908\n6434 50609\n6495 96950\n6912 89603\n13055 36902\n18533 80483\n29022 85285\n4316 55752\n52432 87045\n10240 57485\n32441 66634\n8763 21392\n24117 51686\n23036 59080\n13208 33706\n41058 73966\n35855 80810\n36084 61276\n62445 82247\n37375 74375\n50189 78222\n44851 72970\n4561 99435\n32025 80061\n13278 88462\n26095 63521\n5446 35748\n53355 72184\n39948 63472\n37002 89989\n79015 96663\n47972 54085\n674 94227\n11498 77624\n31532 91285\n48851 63433\n4452 38617\n62923 75086\n3631 47795\n36319 48078\n12774 38965\n12671 47740\n58802 74505\n48042 92262\n26138 37270\n18164 45300\n32956 64457\n6296 73150\n15226 46129\n74176 89860\n57393 61484\n39619 71625\n43808 78260\n17854 99768\n34290 50188\n1730 38207\n3390 49332\n32419 35895\n61924 94687\n77568 85304\n75951 86471\n81579 89689\n35271 42818\n23956 40790\n15196 15609\n48214 77006\n18609 32769\n69887 99416\n13353 67095\n40116 83336\n33219 75681\n37762 51060\n6009 90121\n116 65190\n27429 64815\n13028 25987\n73645 80714\n22514 89077\n10721 59908\n24184 47502\n28166 32425\n24560 91205\n10621 66206\n19884 95960\n30465 75966\n13637 95793\n38155 58637\n11238 18904\n46887 76991\n51910 84341\n56482 79367\n58179 91060\n10700 99360\n24630 54821\n44675 47208\n80602 91267\n45139 57843\n31761 99308\n59799 78539\n22761 90664\n11540 30820\n15264 65256\n13039 99255\n18003 32633\n65152 93909\n59677 69640\n3511 47467\n40238 88173\n29308 57136\n23446 47994\n17868 51538\n14996 49168\n7128 20063\n57659 71222\n4266 16905\n41181 67393\n58222 79947\n4408 30033\n9660 80997\n572 87819\n79216 89414\n37008 38033\n65979 99207\n9936 36160\n26790 28123\n64199 70913\n66544 68552\n83207 91836\n50097 91983\n33148 92209\n39645 70378\n13312 89445\n25840 41487\n18235 68998\n36577 81291\n50143 77153\n1617 1954\n63035 83862\n37697 38781\n1112 78666\n39877 44302\n49153 49608\n59285 84763\n11951 48914\n42036 83455\n17209 67756\n11033 82903\n76954 90097\n6608 79039\n58323 77425\n12179 24544\n51649 73473\n11017 17284\n23845 27268\n3294 47390\n6798 8948\n24609 97997\n24592 73096\n32591 58235\n73248 74970\n4415 9425\n16591 54083\n20393 78062\n17415 63597\n11204 94396\n77054 83307\n1626 28953\n20976 81116\n23612 38879\n27446 53866\n33828 81173\n55964 94112\n69729 71745\n24710 30568\n48387 64957\n77758 78192\n41512 88911\n21415 92054\n15132 59974\n9630 54551\n71567 97377\n574 88815\n26371 49714\n96046 99151\n26891 36510\n78681 88033\n49065 52675\n49393 64877\n64499 70906\n38703 91847\n55362 74568\n60126 86850\n4056 59371\n3767 34828\n12339 42690\n85692 86766\n26243 45143\n16919 44653\n27474 43562\n46661 70575\n55662 77213\n33081 58930\n36297 59993\n259 38036\n84477 90559\n16049 71994\n71187 94043\n83177 97154\n20673 77106\n24215 97178\n42065 60834\n558 15304\n21606 86668\n32430 36133\n59088 76754\n14431 34113\n18470 54967\n4612 6401\n41188 49432\n78014 98936\n21323 32524\n77741 93247\n1258 13768\n34429 51741\n29000 40458\n36211 97482\n39619 63620\n10928 17524\n19460 84897\n52032 96518\n30747 73941\n83404 95911\n73318 99813\n15652 19412\n57928 67985\n65496 99865\n17805 50148\n8629 38090\n33483 85663\n44525 72536\n782 88551\n56335 92254\n52312 82866\n67846 74539\n18003 33406\n11309 41516\n16237 18196\n6888 16222\n75638 94685\n9302 36493\n42536 70169\n36838 74462\n34369 67295\n11551 61583\n88826 96422\n28023 87241\n1739 37828\n52107 91237\n3106 94654\n13564 92871\n73685 83522\n4482 8791\n9061 72089\n49309 97008\n58123 91676\n33742 60960\n5930 16867\n50072 57642\n32632 51146\n60687 93190\n37198 40957\n18561 36717\n16079 50560\n17153 90510\n41364 53302\n92266 92587\n45808 45916\n14298 83724\n40947 93000\n5321 82409\n17551 61091\n84041 97410\n33917 90706\n17495 42105\n3078 25834\n74563 90652\n4274 79741\n74375 77769\n60457 81716\n11239 26366\n9351 43879\n11980 16774\n46295 82836\n31908 85007\n4112 46169\n6882 32427\n33003 64571\n21933 39062\n32529 80631\n7784 66304\n50613 85833\n35241 57695\n26363 48723\n162 50134\n43345 56418\n32021 92771\n27331 98175\n14651 16496\n26990 27834\n66204 84929\n1421 60178\n89820 91723\n39470 43554\n205 31655\n36658 54776\n31072 62758\n74003 86513\n57883 72299\n28531 44272\n17205 92659\n20048 28516\n18580 82093\n28809 83079\n5653 59757\n12447 85353\n35320 35889\n5897 18874\n7516 63886\n27452 37083\n40221 88249\n82669 91721\n38374 38832\n41855 72843\n18245 57442\n71100 88315\n24961 97210\n26308 39634\n688 19864\n49502 78027\n40320 73915\n38496 88617\n25531 63434\n82364 98051\n18893 86828\n78795 85054\n9604 80757\n36972 41446\n67819 99764\n10628 17503\n51580 59383\n12566 40175\n1918 88681\n41209 70209\n78245 98698\n76153 76533\n12041 55541\n92698 99678\n3647 30231\n56762 80576\n21523 98109\n9147 46723\n58816 61227\n84041 89617\n59695 71362\n48181 92789\n34185 89221\n42500 44656\n4450 72408\n74432 84249\n49985 90317\n17221 90468\n25021 26341\n18675 20303\n77291 88055\n13228 77291\n26590 82411\n57892 76330\n17558 35247\n5380 49604\n10905 35235\n24222 89204\n9449 87659\n8148 60163\n34298 65993\n58379 89657\n18865 81720\n13100 48810\n5278 6245\n5666 98020\n19592 67163\n5139 15021\n11678 94943\n37427 97138\n9155 58176\n56756 77376\n86960 97193\n39079 82733\n8823 62159\n5664 41564\n66536 94359\n6880 36794\n23610 88151\n41187 94699\n29843 95290\n19033 87363\n15007 30253\n29213 40289\n59513 77063\n80273 88243\n13654 92425\n27346 51679\n11615 22219\n356 94438\n72012 93350\n75185 83582\n14835 57354\n31403 69766\n34117 54641\n25846 82740\n60780 94596\n1589 64438\n21128 48475\n36102 40410\n8119 98398\n10707 44905\n55483 97822\n62358 82815\n49397 69136\n62281 99327\n15479 93627\n60206 64237\n14606 45527\n24601 36659\n18658 76635\n61554 72702\n14568 91132\n24013 62530\n6529 27778\n19680 92007\n56750 68918\n37219 85971\n25305 83558\n19091 44152\n55327 93865\n47780 78854\n60056 99955\n13325 55332\n87520 94939\n39077 87503\n18307 40222\n59363 63129\n8358 44117\n6001 37467\n26135 39048\n68962 78475\n40427 85384\n45067 94860\n57458 65165\n16520 20688\n757 45896\n45942 83175\n26862 66972\n17234 96613\n71027 88739\n45716 45986\n17673 61824\n39848 69539\n14811 26145\n9181 12108\n810 80080\n40461 99817\n95926 99506\n4402 56910\n40271 41683\n18831 65945\n12954 67576\n5537 7954\n19810 81447\n7921 14793\n4627 17554\n11680 90550\n51997 52217\n73728 79478\n56313 96519\n16927 77223\n70839 73625\n76193 96146\n47161 70560\n16265 59801\n3255 72020\n29996 72043\n3966 70390\n22427 45606\n7088 48974\n70012 74685\n70233 92368\n22968 66692\n32782 96343\n29942 57752\n15199 95650\n1245 79674\n36304 58224\n7922 92055\n45436 63644\n30634 42081\n15877 64904\n6599 21552\n20569 80935\n5887 78315\n17488 52818\n38559 49606\n84282 87911\n47291 68284\n22006 77786\n21122 81884\n52045 65607\n20612 96869\n69281 87181\n18282 58707\n41500 53337\n54258 54352\n48292 77905\n25727 30553\n14278 29987\n70360 78704\n27177 72484\n75441 99280\n7961 50134\n58312 61019\n72225 84523\n61768 99319\n14800 64086\n69665 74608\n32816 89906\n17859 31272\n41052 89735\n19507 49099\n3754 85494\n27970 77801\n20490 87903\n6134 71809\n45313 82486\n9863 85630\n22358 64771\n56288 65041\n266 81328\n77276 77922\n17636 26327\n28137 39905\n51957 94205\n41988 85305\n53643 75616\n3132 4683\n48709 81443\n10188 65515\n1085 80825\n76299 78982\n24708 30278\n29444 81563\n14655 24837\n59471 72024\n6617 72500\n53002 77946\n29056 67207\n51778 90036\n53897 73994\n12993 20449\n84781 98414\n15453 51627\n32694 52785\n35836 53905\n54106 78012\n17018 34117\n25413 44833\n2787 35680\n74888 98557\n5734 96972\n58591 63681\n5924 97508\n22008 65717\n12304 67039\n36299 65378\n26028 40018\n68239 73109\n50457 90303\n20999 96054\n57109 73302\n30524 35924\n27246 27672\n12718 84939\n61359 61899\n56493 97096\n17861 61451\n3725 17139\n13314 91172\n223 95307\n26180 54532\n52703 88935\n31852 41162\n39556 75506\n73115 98496\n4906 56279\n109 30799\n71532 86393\n6217 92658\n39828 95493\n56728 83113\n8942 16023\n21158 25214\n54164 90596\n8298 29809\n11996 84094\n15070 77291\n16569 68124\n44 82674\n13554 93540\n27156 95944\n18536 74958\n38376 47528\n36164 64658\n16321 28506\n15808 19625\n19896 27529\n7601 60965\n26145 57130\n62143 71106\n5800 86442\n32607 74711\n35524 46896\n66201 68845\n52087 78625\n51900 60738\n59170 82533\n45535 94831\n21691 50251\n49058 55633\n40450 77086\n48615 90651\n41316 90900\n41359 83108\n42605 47987\n88853 99892\n34092 93248\n1839 23614\n44807 45751\n43969 46370\n1615 70114\n31350 87541\n55508 66006\n2103 63171\n56226 68299\n4648 50225\n32259 54775\n46344 87318\n28457 63571\n53327 84501\n81111 81782\n50630 85629\n16109 18254\n10459 31426\n3768 56876\n8607 56645\n776 82850\n69062 80345\n35920 45697\n10173 11811\n66657 71686\n11695 12031\n28309 92405\n920 81865\n58138 92646\n13395 15273\n89451 91283\n15224 97342\n33171 75187\n47041 98973\n54233 91577\n46476 81636\n16274 88447\n11216 12486\n36905 48040\n54620 84021\n81358 95722\n23835 57801\n2409 58061\n46319 58059\n28153 51070\n54345 89426\n58326 92722\n8492 25345\n68419 81751\n75378 80125\n19576 48473\n74743 87820\n71183 80584\n75774 84458\n4586 80792\n42264 53301\n1416 86243\n9000 47973\n37434 70530\n26812 91102\n17313 30539\n110 93760\n48754 98719\n8138 77273\n14727 20495\n5817 75329\n75926 99833\n72584 92679\n62655 91473\n43969 70821\n5377 6837\n23559 77348\n52811 58309\n50603 60936\n9260 36541\n9990 24311\n55425 97458\n50286 68289\n70034 74930\n79012 82518\n90531 95477\n31699 50205\n81115 96670\n11717 93546\n27629 85276\n45429 52055\n22396 49587\n9349 24115\n9132 63820\n48590 50885\n49487 74473\n49759 55464\n51068 58731\n6931 92254\n19781 44135\n18676 32148\n27834 80529\n58747 85222\n9793 91669\n17391 17727\n83703 96333\n5376 15567\n19563 34696\n31566 70695\n60813 92105\n57690 68837\n23413 44403\n11729 32494\n40312 85891\n38856 86561\n12270 16799\n13832 77002\n62024 66299\n30783 53518\n27576 74079\n5103 36351\n912 11923\n20920 78253\n33451 47201\n64176 89474\n18463 69059\n35503 48015\n45646 47635\n1531 35749\n21717 45750\n25206 48558\n23224 71351\n39242 74591\n41724 53769\n18032 71360\n898 46593\n557 7641\n16576 89935\n74832 77907\n74176 78726\n35742 75488\n59508 62401\n93590 97526\n61763 62233\n22742 83831\n9190 36970\n63194 64046\n85765 90551\n20943 56364\n33135 92692\n2496 50859\n47091 58667\n80156 85723\n68801 95223\n35558 88603\n48144 94570\n40085 91812\n69927 96367\n49429 69966\n794 36946\n11906 37662\n56522 57658\n1657 2477\n74171 91813\n12549 48251\n5054 15287\n43385 56418\n38406 81420\n54289 77491\n20356 61991\n18445 78614\n32576 67032\n23754 25576\n6139 8069\n28949 93846\n15851 97504\n26965 87469\n1584 48820\n31834 51850\n36671 61583\n73555 95767\n4563 28040\n84779 97637\n35202 75534\n62818 86418\n37143 62336\n37261 76195\n53493 99872\n17493 26928\n30861 73424\n37996 59998\n80805 89557\n23933 92875\n54150 82976\n67825 74134\n16995 94896\n8248 80854\n22444 34914\n4330 64355\n22743 90879\n40968 43897\n21680 42566\n84429 93278\n2133 48282\n3961 29800\n28753 33185\n10305 54007\n50207 77752\n36956 88733\n11899 68001\n71 78344\n46992 73798\n56169 92452\n26234 49845\n82808 85695\n16696 40946\n74237 82196\n43165 54599\n5883 76464\n32530 73990\n19319 72476\n80063 82319\n53628 77545\n81544 97363\n13499 61235\n8051 71163\n48560 83671\n2404 53978\n18971 97587\n13670 29088\n1607 67328\n22272 53965\n30118 94897\n40659 44159\n44214 52766\n25709 57414\n5985 35079\n29493 51805\n52217 72541\n38928 90280\n78664 78668\n19684 77923\n57238 76349\n37146 47271\n23077 90474\n15397 17921\n41322 65733\n22865 70075\n35634 84048\n16598 72159\n6010 73662\n11137 61155\n44719 71952\n32697 62472\n46868 51550\n45743 97554\n9731 48651\n33601 36533\n38930 49304\n32047 98643\n21226 42486\n52522 76696\n89662 95683\n31141 46565\n52050 52301\n45316 57581\n16659 27668\n10226 86936\n12171 98412\n21775 91538\n48779 85008\n77753 96367\n44655 80127\n55081 91584\n24046 38668\n2680 30487\n37476 66113\n68309 83764\n59010 83890\n49379 97383\n60687 66850\n78332 82195\n26543 83210\n67825 96749\n62511 91483\n92429 93802\n35132 57066\n30236 77780\n17287 28176\n19245 55798\n27698 30097\n33359 61154\n22031 79175\n31937 37765\n29476 57608\n1515 78767\n22834 39409\n18480 39939\n31377 65940\n89838 93212\n781 98227\n40104 61224\n21723 51198\n1869 87818\n8240 88012\n34462 35715\n9008 63219\n1902 55671\n6414 10421\n95784 96567\n16419 92191\n69359 78427\n31109 37226\n34370 58294\n77815 84974\n8529 89219\n25013 81098\n30951 47503\n57929 70957\n39915 47299\n3091 7798\n51821 69570\n7344 94812\n11120 23509\n15527 56837\n34406 67023\n54610 98521\n46519 71054\n10338 84411\n24297 34261\n66370 75977\n24767 96626\n16663 72519\n45251 91142\n8549 97801\n6219 81866\n28872 89937\n17998 52575\n24144 85583\n8048 19540\n26810 41124\n25654 55002\n13832 25520\n29987 33942\n79410 92858\n17055 45992\n4856 97928\n22015 55040\n912 50084\n5095 69602\n66103 94634\n25703 58955\n31371 90933\n93538 94430\n19725 98375\n52621 59363\n34004 69022\n83729 83806\n11999 30360\n4578 57297\n18054 97060\n2554 3310\n11492 28239\n87109 89521\n15356 36085\n14090 87585\n23936 34332\n26147 39311\n47826 59982\n56779 93737\n49347 88232\n15607 94753\n2774 61756\n2128 66554\n75814 96295\n72877 97707\n5224 12923\n6550 27994\n27533 80314\n33900 43791\n48332 77138\n54638 63055\n76626 86398\n68352 78646\n60677 85736\n4928 25688\n30337 97418\n20013 66043\n58550 80734\n77820 87756\n8024 68250\n65892 99982\n9279 34764\n32606 44560\n10202 30561\n34834 60796\n32610 64420\n32984 79324\n34434 69400\n434 24796\n82741 92169\n10300 98994\n33529 35783\n19229 98991\n54750 88904\n36083 74272\n32903 49324\n8634 96262\n13950 89231\n10828 34000\n87759 89033\n4038 74884\n7083 67195\n29861 33138\n40557 42075\n59271 95582\n30197 82803\n9153 16988\n6234 33921\n85976 99356\n90590 96846\n60445 60852\n34780 45182\n86550 93368\n16459 36250\n2932 14860\n50676 52641\n49523 89895\n14176 25487\n10311 23574\n2005 75310\n13768 23645\n28367 90695\n20788 74514\n18198 87475\n78599 82615\n61013 66734\n4891 51596\n57812 95111\n19578 25705\n16174 61707\n19971 93908\n24337 85255\n24403 84971\n15652 53767\n15939 71557\n9930 46329\n19566 81449\n87250 95813\n40176 96299\n6904 91612\n11392 38743\n85838 99101\n59424 70873\n14201 23593\n60504 68227\n40294 54561\n25893 35141\n1044 93544\n72247 74140\n10724 62953\n49711 71349\n33220 75309\n32035 55633\n4194 26363\n14982 88520\n26274 26609\n14901 31412\n19324 35896\n3170 81252\n46585 60756\n37226 65960\n40417 62534\n85066 94080\n6366 22419\n20280 99248\n4043 33589\n71442 98011\n5672 90349\n75019 98247\n13235 87688\n34881 47911\n48803 58411\n21920 36093\n26138 39777\n63546 95376\n23482 54255\n3818 52197\n1890 23485\n5482 31067\n8844 28462\n44178 85792\n19460 92349\n62 65011\n40809 50377\n59561 84327\n42176 68195\n26547 73939\n6284 42205\n31053 31405\n12288 26336\n22529 38320\n40378 45298\n52458 91958\n47995 68336\n5963 31666\n2407 44379\n33984 46788\n2968 4510\n52408 54574\n76379 94522\n70600 81755\n3096 40163\n62681 74104\n21282 76681\n16492 33694\n36409 72822\n40006 55380\n20715 37749\n12773 25391\n5181 43727\n93413 97077\n24989 88771\n5735 97506\n6761 37316\n23165 77670\n67592 70966\n54713 92488\n7118 64781\n53889 97740\n4217 26044\n8840 75727\n190 57694\n19281 73870\n80597 95818\n29490 54741\n21908 58837\n31747 36549\n83661 84829\n17112 46352\n8124 26685\n30705 53480\n1433 43830\n12104 91359\n3088 94046\n49116 85092\n35570 93612\n477 2805\n26927 83888\n21566 57826\n18404 95744\n13236 14123\n7720 55410\n173 66365\n18721 69965\n61688 63873\n52463 86382\n8103 91464\n60569 82984\n14599 97523\n50673 65290\n23962 85441\n71104 82659\n17014 87886\n42426 50310\n187 38188\n68271 72799\n6436 98844\n50976 78330\n46674 71296\n10155 25309\n41150 42084\n69835 94917\n3342 98294\n62478 78963\n10374 79198\n5839 89806\n58072 90105\n94027 96791\n34662 61175\n57217 83825\n19739 83666\n42558 97694\n38431 80964\n39738 98943\n7860 58928\n18109 47179\n59878 67751\n19180 40193\n60011 70621\n60962 78098\n19890 61650\n35030 92044\n76346 99240\n39680 79926\n47914 91671\n49376 89290\n27510 73739\n48576 82306\n49167 61376\n10886 71983\n42072 91763\n73781 93995\n79698 80166\n15418 51897\n65590 91230\n60404 79996\n47912 61031\n79015 99228\n8355 33027\n36195 65329\n37627 43074\n51403 65844\n77809 79208\n54347 97125\n25845 46258\n16711 40250\n30889 58078\n10571 11654\n30248 66585\n30128 80432\n50641 77514\n21300 55123\n47761 91402\n55341 77722\n63791 84464\n62027 99455\n16577 40229\n21205 28251\n65044 99898\n63878 92406\n60669 88001\n66532 72400\n43186 47035\n62542 80576\n14232 26407\n8028 28765\n53079 99039\n46561 54155\n5456 52437\n70997 81467\n86330 94286\n3833 72947\n24903 65991\n13140 30413\n30763 56589\n76649 91705\n49055 64364\n10640 40920\n16274 34563\n46773 77827\n34030 94218\n41598 81052\n45338 81190\n23488 99965\n65405 97091\n36764 57468\n16215 75347\n60501 96833\n36949 69375\n53326 74219\n14866 84731\n17527 38474\n1694 85077\n65240 91121\n77566 91363\n95938 99726\n62448 64293\n29074 66945\n25795 84664\n60361 85807\n30769 69236\n9431 38049\n37547 92194\n38861 38951\n5908 38849\n8916 94670\n66135 79334\n47006 54496\n31413 84622\n7832 70770\n16710 49160\n4529 81661\n9573 12410\n38663 58969\n40703 46795\n6144 13856\n24040 83877\n25998 31150\n21025 26805\n22202 87151\n20298 74334\n43153 69427\n10268 40331\n10628 58520\n50231 53918\n48771 69417\n19986 23834\n70964 88280\n6760 30302\n6253 27315\n1926 28789\n54294 84547\n8311 53761\n18033 43220\n91467 96816\n29616 84246\n78592 88315\n14531 14813\n10472 19953\n17907 34314\n17659 39297\n54841 73174\n28391 81531\n40435 63761\n14887 72302\n50970 68874\n27112 38926\n16617 43816\n70382 88805\n22374 75598\n33485 57963\n66407 96360\n57714 69777\n45713 67138\n42803 61032\n27538 81948\n20236 21149\n29204 37880\n30746 39393\n32316 97414\n4381 6938\n39575 95018\n9531 25064\n27430 95035\n66629 90415\n10427 62190\n50341 73612\n14560 99383\n62420 69137\n44388 67936\n22178 84713\n28872 62469\n27054 62189\n94532 97702\n7333 38409\n20185 89966\n40250 41225\n48789 88370\n32679 61733\n28618 48143\n6458 82392\n10005 73337\n35009 39579\n35973 89778\n49330 89394\n31360 46080\n23793 73817\n30363 82160\n34769 48179\n39027 78297\n4085 70631\n31150 53472\n23199 35912\n10744 86995\n44904 56844\n85205 92077\n23640 37290\n34402 68501\n23214 68060\n9694 10496\n70422 72234\n7229 52652\n5732 43465\n66270 83269\n16340 66080\n631 63518\n4268 66517\n4643 7052\n10384 68383\n51276 77078\n82271 89265\n2046 83503\n39519 69442\n49105 68912\n2968 17419\n52987 97593\n1757 97334\n9300 98212\n47286 98259\n3119 81394\n26414 60357\n26845 72538\n50557 71469\n55307 99521\n14444 55313\n66561 78281\n6185 18602\n28015 54343\n40614 53152\n55509 84375\n23365 45944\n46075 61520\n1502 83403\n74544 92461\n77979 87532\n37145 53354\n1954 20815\n5101 40950\n8429 72273\n3720 68887\n2287 74044\n24282 50847\n71411 84111\n45001 88761\n30609 31535\n65965 78182\n24350 41450\n58238 88311\n3297 84386\n16056 30049\n12513 63064\n54469 80254\n8579 74987\n386 37812\n33047 79775\n13015 80438\n4347 65240\n23723 37813\n13802 34240\n25 36547\n39803 53929\n75519 85476\n84518 95195\n9809 45314\n69722 99164\n90644 98914\n69993 97846\n44004 91543\n8106 45920\n28197 69426\n52935 61873\n12692 18114\n50603 92785\n81870 95347\n15123 59674\n1406 16374\n205 59530\n52724 76312\n68604 81365\n32925 59846\n67140 87820\n61903 72432\n39039 94194\n8291 56267\n83570 91923\n28133 96859\n29193 63305\n46622 58248\n80138 93523\n11348 63436\n50906 55428\n37825 71467\n17740 39957\n46061 48689\n22752 96091\n42309 94073\n22524 68234\n19746 96940\n18269 80883\n48416 85411\n1037 87404\n76603 78062\n35604 93557\n39011 55499\n36357 41328\n63577 91104\n30385 60670\n75085 99465\n79967 86784\n16385 59678\n4680 86691\n24024 82595\n29344 34972\n18740 84319\n16802 88017\n45898 61098\n21030 42408\n33172 74170\n72620 78011\n12060 79244\n18582 51551\n48381 71389\n15529 51597\n54977 69714\n66648 99268\n15256 46420\n14811 30423\n64670 81585\n15294 31706\n22996 42169\n7218 73859\n24167 61987\n63606 96520\n50897 54502\n22152 23614\n42133 91243\n83 22964\n32972 94505\n56932 64471\n11077 46401\n68931 75568\n55180 64571\n7292 48012\n45156 69149\n11759 72892\n25193 77755\n59036 86409\n1127 45030\n25106 78900\n27384 67023\n44074 87822\n21569 40363\n26565 60734\n17398 75202\n73603 91117\n26189 63085\n46093 73161\n20155 23891\n2677 70437\n69778 94112\n57000 89583\n49040 71202\n9431 98819\n50468 73896\n46376 93488\n31926 44860\n8468 94625\n26549 95376\n25650 86188\n48959 92999\n23310 32558\n53340 60255\n56228 74911\n47796 84086\n34752 99903\n65518 96166\n4810 44018\n7497 25190\n26955 76136\n59428 90483\n64008 71890\n62940 90535\n24664 82348\n221 42598\n36838 50598\n42558 56625\n1458 20025\n24756 80089\n67761 93341\n55400 56800\n8481 50322\n77862 83304\n11850 57409\n86632 96180\n37646 71979\n1157 80817\n29595 82360\n23341 90259\n28980 78964\n24803 39361\n37273 48990\n57270 73298\n58451 84350\n40891 50648\n73827 76722\n6646 87056\n29350 94658\n7316 73641\n61795 96854\n37756 87844\n15612 45797\n29361 83965\n45350 68992\n56991 82141\n75201 90792\n21950 44715\n34392 59204\n3373 43632\n88417 95994\n127 90074\n9951 94671\n25821 78898\n6369 34923\n520 17863\n42072 85097\n77418 87466\n56965 65173\n37766 88056\n22218 58272\n11415 15446\n74362 99648\n48412 65710\n30057 73254\n10855 93987\n15633 83434\n73532 80119\n11598 57732\n11983 86174\n17616 36414\n8837 55996\n71218 93044\n25116 79270\n6192 43960\n1742 13294\n12724 36386\n30346 39403\n2779 50277\n38209 60726\n51439 79763\n2402 17810\n47939 86920\n765 16991\n26800 61396\n45194 76134\n17280 70164\n39489 88557\n9601 55797\n33336 85611\n15246 83956\n28315 39710\n78401 99084\n11720 17961\n50009 90256\n42608 74001\n69755 71847\n35842 48635\n47941 80273\n23414 53666\n13051 21951\n4957 50741\n64067 92647\n10349 82129\n9444 10102\n32734 58805\n46801 64464\n18184 38284\n65307 83055\n7789 90750\n18515 23655\n24360 65012\n50395 97040\n40033 51620\n10790 75637\n50298 69390\n39503 46560\n29614 90236\n46014 53614\n26018 90247\n72588 95643\n77061 77698\n1535 64188\n15543 67762\n3489 65514\n11374 72580\n4193 37455\n12568 69706\n62293 76704\n47513 49522\n16032 53879\n24661 97982\n53160 55620\n31580 84913\n20605 88141\n29286 42145\n45988 77949\n29582 39139\n28304 53343\n9733 71317\n79301 90012\n44012 91786\n16225 96985\n32796 98523\n64711 77006\n14138 96037\n42131 80882\n74506 76521\n7649 22234\n13792 89265\n42133 59702\n89983 99688\n71144 81928\n8264 18309\n8600 15465\n23227 55179\n22791 96351\n59405 72727\n19892 96940\n78480 86718\n11482 66795\n37643 39212\n67567 89138\n6512 14640\n45945 50515\n6472 39702\n51575 74042\n44083 78891\n27252 80418\n58801 61739\n42999 44162\n61045 71166\n54432 63700\n55245 70066\n28162 75802\n53563 93945\n23984 84691\n61084 86177\n38723 72793\n76524 87034\n18270 26991\n37185 74138\n299 76109\n8152 73285\n15519 41080\n22312 90698\n42422 74573\n7720 44211\n2479 21372\n6183 40659\n14909 88441\n65811 73204\n11779 84304\n8793 46381\n58869 87739\n4536 4546\n68052 98257\n39156 75697\n15991 49335\n82300 94676\n39700 97580\n32569 94728\n38540 99576\n25545 69303\n36715 58574\n22886 32625\n52296 64724\n49090 51313\n93739 95395\n52238 62006\n1423 59399\n21670 48323\n49896 82353\n5666 66730\n41093 56295\n32382 37064\n24896 56729\n13669 93568\n86758 88752\n7414 44569\n12510 96111\n33514 72166\n35816 87289\n1300 25157\n42793 78265\n24576 44811\n39098 96140\n11439 24587\n14780 89296\n38863 88739\n33970 69466\n37978 66626\n25881 85336\n36931 89904\n2817 60785\n63338 72510\n12017 40432\n24650 71514\n41621 85116\n25337 88757\n28768 50553\n81387 87421\n17337 86535\n10402 57184\n19972 47449\n64165 80585\n16098 70605\n6945 59355\n21315 36244\n48226 55801\n32228 47527\n64257 69895\n16490 27775\n9903 68113\n21952 57965\n64341 71439\n15311 16776\n19598 30130\n82206 97833\n13012 19808\n7093 49154\n13556 96193\n88227 98096\n14606 41010\n51868 61973\n19194 20591\n79023 94256\n73423 79778\n68951 74008\n26504 33205\n5872 38835\n44739 59510\n31087 59870\n13668 31146\n45902 52970\n2939 49958\n46989 95352\n68586 90944\n2809 78555\n50959 55132\n213 91487\n3625 50618\n40804 61637\n4569 78852\n46055 57369\n33938 70052\n82650 87413\n2657 28954\n1506 12697\n47088 63620\n36799 93392\n20396 90177\n54948 74072\n63444 79737\n42520 45271\n76175 92040\n43385 91559\n39874 75668\n28433 44052\n7918 38929\n20639 59036\n9085 40381\n38202 90076\n87638 90813\n68932 91816\n43112 59237\n73620 98251\n73247 77765\n56771 91511\n35975 81023\n10806 64007\n41544 90880\n71380 83166\n25886 28778\n21060 57129\n3926 18744\n49080 71070\n41105 66502\n61903 70045\n8110 47587\n62567 70287\n49880 50077\n89387 98901\n68547 98050\n34285 44153\n14973 28299\n1397 40700\n75293 93411\n33692 51899\n15478 93379\n28880 39744\n14492 81943\n65626 96861\n29509 98233\n35827 57656\n13781 72792\n1536 60013\n41738 93731\n60506 76650\n57250 76941\n14752 41006\n2837 32826\n4874 24426\n40947 96788\n63989 65336\n25986 26041\n1305 27344\n63542 81619\n37382 45271\n8592 22373\n34400 63942\n46632 58595\n52588 53858\n16558 76320\n1005 72153\n277 8389\n17960 84321\n5191 38254\n35425 68059\n49313 64472\n14232 49799\n5976 42610\n79769 96005\n26439 70492\n31647 98310\n59657 72697\n3328 25632\n1429 10153\n30726 65626\n71230 93146\n88559 93611\n54669 93587\n7446 59409\n1501 41789\n16255 65478\n7664 78817\n28721 58045\n79041 97344\n18893 29175\n32114 52898\n24148 61644\n43276 61385\n54623 91829\n74293 85352\n52411 56854\n23842 72643\n90975 92055\n64030 72562\n39481 81306\n47103 66835\n13597 36334\n5735 36778\n58340 99602\n66085 84136\n1845 47571\n5577 81002\n5283 92343\n22607 91557\n12060 89832\n1456 26626\n37826 94293\n540 14011\n8766 19131\n33179 86143\n26783 70603\n3577 73956\n38913 75639\n12341 58602\n5785 13272\n35728 83970\n51305 92287\n85685 90734\n18945 25442\n73939 79643\n26233 30536\n15709 45245\n12815 54267\n45157 63537\n31685 38625\n45395 98108\n54208 67544\n37750 73915\n26280 97916\n5867 28082\n62344 65440\n393 79267\n85539 94563\n22258 51817\n4099 99334\n56450 95789\n39051 50559\n15372 54123\n9091 77715\n8177 39201\n29186 48780\n24895 37210\n48705 54751\n44451 60040\n79012 97144\n30303 41494\n4285 13989\n65728 90118\n22205 53660\n37863 60594\n94222 97311\n28357 86941\n56360 65933\n48357 94128\n9412 71710\n87282 96937\n7456 32061\n26859 78784\n83732 86975\n35840 60201\n5302 62197\n45251 84005\n42875 48131\n44847 56393\n34974 61707\n26927 40038\n7983 40252\n23728 88690\n40466 93942\n33844 67589\n40150 41140\n76442 87700\n25984 31520\n6597 86742\n27897 86768\n20190 92794\n77103 99356\n6384 98736\n37812 85864\n6705 50760\n43963 61626\n24085 52684\n1811 26970\n13491 62880\n22703 64828\n53524 81082\n18060 31221\n15982 50256\n11196 64717\n27006 70470\n39565 89771\n4836 53285\n45879 90487\n91824 98575\n13570 43914\n48628 59977\n21265 28602\n12457 62295\n2997 72410\n9957 73084\n33177 85046\n7695 31586\n50465 57936\n63067 80467\n25438 39386\n3599 30089\n24235 33310\n23910 56624\n26360 46760\n32472 36922\n21968 63078\n2148 63337\n79761 86217\n16693 96127\n42160 52284\n53635 60774\n6323 33427\n11969 39957\n14664 74415\n52943 55071\n12437 38932\n20639 77164\n40888 87260\n20479 58200\n21479 89796\n23583 42441\n24585 50754\n42175 63793\n35206 39033\n7451 36387\n21415 33722\n33392 86218\n30997 61323\n41346 97245\n31403 80754\n45839 69345\n3563 89585\n29087 98797\n583 19817\n34082 78999\n51928 67470\n51575 78053\n24461 62953\n17632 99974\n42946 56420\n9339 95100\n65957 92967\n26375 98434\n17742 50045\n6180 77657\n558 79441\n65808 95817\n50690 60549\n50344 94854\n60885 68542\n64480 72280\n13950 44009\n16844 69703\n70094 92013\n13993 95455\n3143 65944\n1821 97813\n53841 98884\n12014 22390\n65851 82616\n52985 72179\n33461 60474\n8413 52545\n18276 81275\n29986 38633\n3590 86248\n78406 88033\n52102 72750\n36422 72244\n78504 87673\n29097 80039\n28957 44466\n11363 35561\n18001 50606\n19531 91497\n84969 89131\n26779 47420\n37432 37865\n24674 77254\n15656 84848\n19008 81872\n33778 48254\n21579 36598\n96515 96577\n64912 98552\n17617 50116\n12361 13481\n35179 83607\n11189 96529\n64765 95761\n216 11853\n17109 49527\n43650 51799\n16932 62233\n22830 91792\n27203 68391\n41238 99066\n2221 89594\n26643 35309\n36138 72389\n16003 66774\n14064 56322\n22885 36752\n84158 95568\n64797 87301\n1148 8584\n70559 85325\n12088 38975\n28664 60782\n49655 83924\n75887 76441\n6630 31920\n28037 50549\n70216 74760\n32985 75735\n6887 14471\n29439 44586\n634 51895\n18356 32106\n3282 88400\n9397 14058\n30557 73020\n48803 66886\n47939 56246\n2612 74098\n34257 63956\n6558 94647\n27044 70083\n20240 76387\n10646 95518\n45461 84883\n18022 67073\n53249 56885\n65178 76316\n43967 65012\n46619 70068\n77340 93215\n36394 73700\n41088 54802\n49073 56614\n18702 66448\n45407 47293\n1736 15916\n35844 69538\n34176 99929\n5414 32424\n59612 67426\n43145 64874\n1512 88176\n27801 95956\n44601 65945\n70446 93719\n20110 39965\n17284 73205\n29004 45886\n30543 70239\n7582 29007\n20496 53541\n46684 69653\n70688 73894\n5861 34342\n42119 64841\n20748 90853\n21588 70701\n28498 32048\n22739 34625\n76244 91828\n82120 95142\n26945 82077\n16679 26405\n2116 16873\n8046 95887\n23018 72624\n17669 29134\n71154 74259\n9603 89583\n47357 77321\n19322 22851\n3334 75663\n81686 92247\n19877 49737\n62522 94470\n29258 91876\n47487 56849\n30520 54698\n25986 52642\n33165 76835\n5126 35109\n56630 61317\n29021 57468\n56774 58355\n60864 72517\n48138 78769\n24412 88383\n29652 30891\n42184 42358\n44682 89832\n16254 84108\n52937 69034\n63087 92621\n75562 94477\n55092 71189\n19282 33167\n37794 83748\n37169 90495\n51834 59110\n18691 89507\n50708 71982\n47076 66802\n12245 45476\n38915 97993\n8085 9407\n17856 78207\n52582 62791\n17075 23711\n1921 82831\n45548 88620\n43290 90194\n3628 8043\n2451 84040\n74872 90273\n68631 93044\n22476 94572\n53099 91037\n66176 78743\n15088 69576\n32617 40153\n26005 59818\n32145 67215\n31820 63910\n35767 67966\n22150 92907\n24118 46180\n22859 76095\n26899 81673\n79781 94977\n15139 45317\n13659 91752\n14654 34644\n36548 95956\n12507 59313\n42067 82504\n75134 75470\n52466 69977\n33833 47124\n9498 26868\n14147 47784\n14983 57930\n77914 86672\n1313 9672\n20703 51851\n48727 69323\n10619 50044\n54100 94532\n49773 55004\n71853 74385\n24089 26867\n24020 82485\n18751 43878\n27391 72110\n33211 33320\n13803 29192\n32983 91602\n39854 86388\n16729 24348\n60649 69169\n34569 76846\n53053 83421\n78420 87136\n5978 66495\n7014 46150\n8562 25742\n6469 52938\n4915 12787\n22663 88270\n27989 84231\n20991 42397\n1965 21529\n15194 67443\n21528 86645\n63856 75919\n7308 67225\n35774 45063\n34730 86236\n31475 40767\n53944 95727\n24880 63258\n7415 11958\n18401 22954\n32081 50997\n22030 90944\n57279 92775\n35630 90360\n45042 73413\n50006 87368\n45673 94001\n16100 73558\n29983 78492\n50734 68484\n40090 76535\n24897 38691\n25528 58261\n621 81322\n38370 93835\n12282 86934\n19396 25168\n31947 76935\n774 10946\n30888 67933\n14427 89434\n34441 93651\n71976 84415\n6911 57334\n75198 78498\n37873 44722\n22831 88991\n3176 66823\n15635 77450\n27042 30633\n56710 77330\n30782 89506\n28087 66660\n3187 65388\n35779 85167\n83883 97275\n45376 48094\n24887 62637\n21138 24905\n5473 26907\n63161 90826\n5843 13662\n92625 99539\n35620 83632\n56779 71657\n23189 31455\n20637 43691\n1056 63109\n7011 61889\n19640 98304\n3396 26090\n63475 87310\n18346 40858\n40391 77312\n38883 99422\n19300 44041\n4389 9771\n29373 90995\n12960 57286\n30903 76345\n23674 51434\n33050 92288\n28317 92929\n53504 56924\n34949 60659\n22765 64036\n46497 71985\n52283 82564\n13278 60080\n82979 98543\n5442 96796\n4525 38637\n62983 68206\n40671 67207\n40479 62515\n56059 84411\n60309 62352\n47448 56048\n7640 30545\n29982 71299\n42320 47567\n5940 43511\n1392 3369\n12307 53435\n50064 84243\n19010 83904\n67411 82800\n88603 97077\n12796 51572\n12450 90982\n25216 45127\n61807 83808\n94095 94773\n20549 47462\n17320 31257\n44378 96013\n15194 82864\n19909 52524\n57885 77552\n63967 96205\n71201 79029\n1616 80355\n70929 99566\n12018 55509\n37693 46015\n76586 92360\n20893 67688\n46066 83010\n25680 43070\n50786 54332\n13424 88278\n27194 32732\n3969 46631\n21942 33196\n72476 77948\n49967 87286\n13324 50031\n55145 75268\n93634 98302\n27968 88693\n60765 85690\n32083 52809\n9613 42459\n4748 69193\n80168 91067\n19333 94914\n925 85001\n26820 91101\n64553 91210\n12847 35931\n6771 93125\n8596 96857\n38210 99259\n37940 72019\n62404 81807\n13308 98109\n64244 69258\n65299 97886\n73320 92532\n41127 51536\n5474 43729\n6877 22781\n56865 85865\n26774 40361\n82700 88396\n16909 65190\n66868 73137\n74367 91387\n75874 80627\n22863 55231\n26881 77942\n61626 86214\n30804 42802\n8526 49595\n8858 14502\n66830 85764\n11573 82229\n5300 45392\n23187 95003\n57884 67866\n65656 98188\n87166 97726\n45482 90377\n46670 69628\n6712 52239\n27090 41765\n62680 77716\n44608 48412\n94198 98850\n74379 93448\n2518 88456\n77611 90810\n61778 64340\n46865 56535\n8903 95825\n48306 73279\n36213 90725\n12769 69491\n66028 80964\n29756 53153\n4437 81191\n15035 74590\n76056 79573\n10025 53520\n36828 48800\n23869 44308\n21623 69347\n12300 31635\n622 47507\n40938 59298\n54337 72527\n55280 74941\n3588 33968\n33497 53528\n13340 33502\n10230 79778\n78144 78255\n76300 82370\n27834 96703\n56199 90313\n26721 39920\n20962 99891\n56561 83961\n42852 57225\n8045 24626\n1021 77323\n56482 85332\n28623 70197\n10378 23474\n27959 75235\n47699 57822\n5501 60778\n31881 78740\n14739 39125\n18100 65787\n14382 56167\n40292 57780\n32556 71652\n1238 82710\n58397 95054\n5561 21292\n5627 63472\n30041 46929\n3749 36804\n18779 59072\n12616 75835\n78503 85334\n9344 23100\n48098 52696\n88078 90490\n65750 69424\n29481 57007\n27022 66217\n1289 40816\n28656 40364\n70310 92585\n67058 98437\n45362 66850\n76289 95711\n39330 79272\n21625 37878\n59585 75294\n90386 97854\n61529 81606\n7543 31492\n4990 30104\n44073 91443\n40882 43470\n29640 63699\n42750 84566\n11994 50869\n53493 86637\n66781 87674\n36971 77019\n12200 77694\n85140 88728\n34347 88538\n25893 87652\n35446 92534\n33243 80250\n10927 46081\n55785 80027\n21451 58792\n6713 25003\n90373 92462\n48118 54286\n26612 46687\n79652 96760\n19894 85409\n22089 79346\n11711 43059\n8124 52457\n44838 93145\n15516 96622\n73414 93899\n18944 83532\n12644 13839\n55638 56572\n21312 91015\n40432 76892\n20251 36994\n59773 94542\n14869 95295\n45423 90887\n70380 72455\n39220 96312\n7225 39275\n6113 21329\n77895 99129\n8989 34188\n31395 34605\n7006 85231\n1355 52545\n7640 9693\n4861 48976\n15410 69720\n9924 99758\n69543 73701\n15739 40379\n34054 65635\n63815 87037\n56128 67289\n762 42053\n23208 59785\n43807 87522\n81630 87998\n22438 47892\n62220 74273\n13193 42212\n12296 65516\n64870 66037\n72527 92123\n16380 63287\n19750 26016\n35316 91060\n78271 96401\n6885 78724\n3755 10314\n41191 61909\n55847 72637\n58027 59982\n47716 72647\n78458 95295\n23692 39148\n23815 47211\n20253 92343\n10088 10653\n22587 74264\n65877 67894\n42452 72101\n44341 85846\n69657 80687\n3127 26427\n53430 90850\n31838 96556\n64237 99523\n4372 37317\n6568 95249\n37511 55951\n27917 91227\n12918 32700\n43379 58555\n76809 83202\n16274 19871\n25699 89598\n21724 74092\n41375 92853\n54693 58813\n44757 89459\n48401 74495\n48736 90152\n8853 30381\n74557 94916\n44112 99906\n47480 79940\n29143 89395\n54272 74084\n56809 71465\n57142 61553\n4020 79341\n14950 93964\n76824 87576\n6622 33359\n23220 72571\n2926 21968\n72175 79619\n25277 86265\n60569 86106\n26518 77677\n9659 28911\n750 66492\n17933 61901\n4384 9565\n28887 32030\n14420 43913\n1002 65901\n70681 74699\n59020 74392\n4268 61124\n22754 33142\n2720 52569\n9347 42458\n80913 90725\n51959 52657\n22640 83863\n16139 77225\n27694 29941\n45377 85413\n64695 83302\n46806 90842\n44571 63647\n44052 46857\n61441 98080\n54535 61150\n56593 67491\n57141 80446\n62993 80461\n16226 77966\n72503 74629\n40843 67694\n888 51413\n32555 34090\n42413 94039\n20238 34999\n35365 71757\n25420 74414\n41949 44892\n55411 99158\n10105 20839\n38834 56033\n84116 99318\n34479 37251\n5643 82183\n282 71624\n16899 79729\n14757 47323\n28248 88752\n6316 27498\n71925 81271\n28318 84685\n31088 40396\n13667 81822\n22094 94467\n20809 21650\n30803 68252\n52356 82808\n4194 43405\n21932 30513\n82905 93689\n17494 55750\n15337 65675\n82054 94148\n65485 93410\n53911 86251\n8008 16392\n56834 67399\n9740 66094\n28315 38558\n54477 61062\n16919 91941\n44870 61050\n12371 76825\n49805 58822\n40600 83033\n21862 86769\n46561 81870\n32122 41610\n998 15574\n79380 88620\n21217 63904\n23096 96016\n33064 47031\n1329 7527\n53406 93088\n13730 90104\n78840 87165\n12714 61445\n56903 61120\n37308 48802\n27498 91263\n4560 63021\n36537 48854\n6132 30587\n23683 31996\n23447 39436\n1603 22462\n35616 43690\n28247 68916\n6855 63523\n54038 97802\n7380 71812\n40730 96369\n57203 72930\n25298 78917\n37881 55560\n42523 55984\n21086 66567\n4906 43154\n56002 64087\n92075 97794\n71501 93339\n32050 45000\n15869 51036\n34882 60355\n31056 34755\n13266 15728\n23464 85038\n13091 34438\n71283 82454\n38244 82989\n81396 97223\n74651 84105\n66865 90741\n46254 86261\n34127 86928\n56511 71954\n56211 98474\n59084 71708\n34486 93751\n45081 71137\n65475 98914\n51651 82670\n5516 65669\n1371 8377\n18047 47169\n59630 75056\n43548 58579\n38061 66244\n42449 68595\n9940 97897\n48605 52348\n58154 64674\n1588 93996\n72561 89633\n37987 74415\n82024 82469\n22016 36647\n5896 65086\n90327 96465\n12355 64366\n38738 77462\n25474 92343\n39897 55878\n30887 55365\n44647 93579\n62564 99771\n12300 90891\n16903 34941\n17631 18710\n41312 61774\n5692 11274\n36795 44777\n37166 95718\n74697 84828\n28762 59988\n10375 52790\n58207 65602\n7919 65258\n12980 52334\n1064 82836\n76629 92124\n31024 51209\n31035 37375\n2521 51825\n5327 24361\n2629 66076\n47922 81230\n65763 77148\n60670 92745\n27497 36985\n85260 88995\n59276 66090\n44441 87400\n49750 61565\n19876 75271\n24315 66578\n6870 59817\n2614 3771\n43421 44644\n18888 72211\n48178 80203\n23889 85547\n711 29635\n11877 75952\n47392 99824\n2554 58657\n18145 32483\n14126 60360\n27512 63124\n4053 53274\n8108 67098\n43151 98332\n2227 61905\n34905 77774\n33095 99957\n87889 93912\n18862 88197\n8105 89317\n6780 96173\n78987 92977\n858 45563\n28694 68635\n16946 86885\n2619 54301\n85011 92060\n12123 13961\n52374 71620\n75239 83956\n49380 70498\n16597 62706\n53336 99138\n20834 61571\n61211 94595\n95463 99690\n58340 81525\n7802 25436\n23519 43585\n23764 73755\n63479 85372\n39100 90326\n3533 50281\n51316 90102\n28337 30742\n17929 64096\n16925 81499\n52868 53907\n42369 71359\n23555 76792\n37116 54900\n64705 97575\n43515 71706\n2997 18516\n31689 87517\n39549 87534\n11119 32274\n11372 93945\n82789 98428\n50811 78354\n55467 93157\n15546 21778\n42516 91717\n72117 98303\n1645 56444\n34258 81070\n3427 19158\n11251 75248\n4877 20566\n29608 71590\n62064 80054\n18925 68647\n2431 67719\n49912 58881\n19202 48391\n38027 92021\n3269 58619\n54528 88390\n60051 93047\n39361 62202\n4919 17566\n72822 84007\n20697 68700\n53665 58278\n419 98464\n3827 55342\n38348 48020\n13041 37241\n13732 19952\n36231 99600\n14647 18020\n18045 54684\n3943 9162\n47764 94705\n79719 90684\n24434 88484\n78582 84345\n13036 99282\n2258 58627\n7882 41721\n22805 76972\n4017 71441\n5593 24083\n15502 35159\n7220 46960\n37223 84392\n27287 84791\n2367 77099\n22675 90194\n87172 91848\n48358 80880\n48484 92564\n1256 55885\n5399 47829\n10796 51051\n22682 78127\n28141 34321\n4147 55587\n24433 28771\n30113 42361\n6247 79507\n10160 68809\n46168 99896\n821 55173\n54323 93900\n3408 7042\n7273 46067\n19552 90348\n43101 49640\n56282 75928\n8641 91759\n8231 75910\n43737 84333\n15244 22552\n1370 60323\n9702 95653\n23281 57917\n15066 62255\n25458 65900\n57766 59443\n54059 61395\n60138 98559\n37349 84281\n42889 64184\n28534 71967\n65754 79026\n46722 49796\n6833 10566\n7426 57042\n18398 54013\n5952 87503\n39194 77432\n43798 45193\n71495 71581\n12957 92548\n12576 18404\n48550 88013\n42084 67047\n57669 60192\n54380 77952\n27148 46729\n45156 76441\n60694 71786\n2627 26158\n29614 48302\n15480 95516\n55203 60579\n24698 88977\n27532 48999\n69621 74799\n42138 53673\n57160 58231\n15801 25367\n52313 92194\n24398 56093\n19279 63004\n63729 75258\n76082 79732\n40580 72403\n29406 59138\n545 64118\n3901 75972\n2699 43854\n38477 76696\n5225 81852\n10730 83815\n15704 19391\n15984 52365\n9293 48817\n31135 37477\n26575 39503\n12248 62674\n17257 57123\n90508 93169\n32655 85943\n91455 99441\n45777 94340\n7569 7942\n64613 97874\n30094 69075\n3483 93126\n51498 70642\n39448 65534\n50091 70812\n45581 64076\n26086 39112\n1616 67825\n24514 98855\n48976 58053\n86940 88759\n25106 71686\n24948 96558\n35833 37376\n27294 79547\n23722 24439\n55725 68768\n41492 70802\n35006 77619\n34329 67187\n28219 31545\n9580 11257\n2003 40386\n48430 83643\n8380 31509\n7934 57348\n17070 43606\n29671 66038\n29548 29919\n26726 46803\n26141 82917\n6059 6960\n78257 82868\n18038 59678\n5031 55255\n17081 70746\n10181 28332\n17581 86671\n16705 84833\n73070 90324\n22637 23991\n22958 86537\n2353 56154\n59730 88565\n167 80724\n616 45481\n54896 96010\n263 59705\n85874 90341\n11461 15489\n5357 65023\n74403 96744\n2999 89043\n59374 72600\n32739 56479\n49823 67914\n55878 65094\n13931 40189\n33808 45578\n26453 29225\n2680 7603\n19213 77182\n3479 71058\n52996 70401\n27017 67512\n9903 91475\n1200 51307\n25404 74869\n27972 48058\n54345 80669\n14195 26094\n59178 66348\n10573 93549\n23552 80233\n44129 59984\n53116 81100\n6313 57963\n3218 76272\n9097 56362\n3373 54029\n59367 61226\n36539 56858\n77379 98550\n34497 58530\n17690 93466\n5921 29670\n24740 70829\n57698 64752\n38982 60310\n16506 49092\n8079 95445\n24330 95998\n40628 85313\n22741 83157\n43266 44001\n25618 88623\n24431 68053\n90207 91943\n53386 94454\n11927 65028\n35266 52486\n61643 87710\n9468 27807\n46801 70977\n3061 58227\n88644 94188\n19014 37864\n71938 77942\n39678 42090\n69626 87304\n63333 72955\n62493 81558\n41685 70338\n34286 49537\n45241 79141\n744 35433\n70694 91110\n45128 66775\n23437 39016\n41288 60747\n58211 98738\n34027 93739\n27624 34745\n9287 21787\n17304 23535\n18529 60431\n19452 63761\n6516 17593\n84364 99507\n65470 73371\n24628 59711\n11990 32499\n53109 81614\n9377 21256\n17722 67270\n58921 79496\n38539 86830\n67196 89653\n69225 94342\n52604 62807\n48537 87848\n77473 89805\n34545 92983\n76213 85164\n51577 79756\n49259 91355\n21949 38752\n2683 33257\n60697 64258\n20637 98413\n39126 85578\n9356 23022\n25855 59683\n1256 19054\n15933 45464\n529 98986\n64301 69046\n1195 84689\n75871 80697\n4399 60450\n43768 49708\n2645 58523\n65627 92938\n46427 53451\n7589 25491\n21439 22128\n65848 83498\n31769 85901\n50043 88847\n30780 60778\n62371 72259\n4354 30005\n22819 99671\n7370 46531\n40373 81439\n29313 64020\n9508 11426\n44853 89119\n55978 70068\n30202 76292\n80338 84398\n18113 34926\n30807 45406\n31160 48827\n662 39130\n18963 73337\n4351 24391\n1737 40992\n40298 78017\n24329 89811\n14835 47278\n78720 84990\n51642 91158\n35253 62792\n42833 59909\n42311 62430\n76867 77763\n8446 44440\n60709 73767\n29166 45258\n14189 18137\n6665 29236\n43494 81137\n15331 68639\n40924 96230\n16696 30371\n74745 80553\n62704 84584\n23698 68901\n24083 89103\n50080 75214\n14763 67029\n36862 63882\n6682 98300\n42287 74114\n20930 96604\n12150 37663\n41174 61150\n23301 91902\n17996 97355\n19014 62175\n55181 76676\n10126 34340\n22153 36300\n9057 19510\n35290 97557\n48122 55791\n52967 57030\n18526 70770\n54090 60729\n645 22617\n23833 80443\n1379 24934\n64912 69022\n35647 45313\n36476 67416\n35103 76857\n9786 55488\n4717 30997\n4037 97142\n33686 89110\n5106 74763\n25882 33166\n30291 91113\n3548 92295\n10794 97779\n42048 92014\n47666 78966\n74742 84822\n5424 82146\n35500 40956\n14044 44072\n7663 78170\n40166 92558\n64810 79820\n29610 72068\n45928 63519\n4706 92355\n33051 67866\n59269 69515\n28218 49353\n59516 69145\n6756 34664\n20784 97635\n11810 98511\n7808 83728\n47384 78942\n11180 83476\n68376 72807\n39898 74147\n64739 70553\n93080 97066\n11926 24601\n17872 38289\n32499 45675\n24441 97558\n12789 38418\n79231 96992\n43186 49760\n60208 99867\n24721 96613\n77318 92956\n22162 79656\n3148 91581\n45097 97756\n13951 20832\n28745 86411\n11623 75250\n26241 34518\n21401 62048\n8724 51392\n83279 94188\n46781 64546\n20399 31365\n2000 45841\n29544 94116\n23536 27775\n8145 75666\n12503 56418\n56734 82809\n7177 91791\n2982 32469\n28659 35675\n28956 95515\n10544 83937\n15592 62891\n53258 98443\n21965 67198\n70751 98718\n38958 52124\n23129 62497\n15844 29011\n27894 68354\n46274 84387\n24947 71920\n20456 90464\n7414 43064\n44777 81144\n37656 73996\n2628 46091\n58566 98021\n24843 52987\n33374 79908\n53431 57134\n30234 37206\n44998 58224\n52136 90925\n1613 99180\n42469 68274\n28596 30063\n13928 41134\n21884 31706\n3581 84113\n40546 50039\n1802 84465\n51983 78706\n19027 51223\n37459 77051\n55444 92906\n55012 79978\n9928 70897\n49224 70274\n31082 70879\n13800 60885\n28501 35995\n31314 66226\n36843 64840\n84546 84710\n26148 69712\n3327 60752\n3949 96969\n6687 40912\n17074 55482\n2716 4605\n74853 92985\n74005 89110\n54397 80801\n11286 78598\n86454 95719\n2704 52395\n6140 28623\n12361 70355\n59473 60257\n9562 56119\n24683 98619\n24716 85607\n2230 35110\n84185 98919\n83769 92689\n5448 13101\n33721 70114\n46886 58164\n33950 52094\n60513 69857\n81407 81561\n19660 54307\n2340 78739\n53985 73032\n48398 89037\n89965 91237\n23065 47108\n54654 81529\n44836 69143\n25731 60916\n5649 84153\n78862 85388\n55791 65874\n5696 66984\n19269 21588\n62778 63098\n27196 28137\n39807 46279\n53079 81823\n42365 50676\n59848 60198\n92945 93703\n36000 96528\n35329 75541\n17127 96361\n3406 97102\n2096 48417\n19512 41384\n44878 50136\n22920 84402\n80677 88555\n18992 93233\n59991 85897\n57775 57821\n54742 85573\n20252 61486\n59764 87393\n28451 92621\n19951 55803\n40582 99067\n10191 23417\n2739 34019\n41844 48905\n45201 61677\n5409 50294\n67564 76607\n17487 50832\n10608 35364\n10763 27520\n57509 67345\n25805 31281\n13179 70665\n16724 91749\n33256 78474\n9045 9625\n13009 39491\n40866 94023\n80255 91249\n9165 93838\n12953 67897\n27208 47760\n13326 30790\n37886 74692\n25193 71769\n12870 59192\n49645 77080\n26916 77847\n19234 37030\n517 31787\n67190 91755\n1310 48173\n46302 69697\n71926 78401\n940 41755\n4488 33188\n27918 44082\n5453 59070\n95240 95987\n62176 85769\n52573 64933\n59212 70429\n38188 88032\n89755 93363\n80094 97256\n1712 36643\n588 5022\n75081 88287\n54794 70890\n7260 10212\n8607 97691\n48324 82119\n15907 75737\n17475 28072\n8580 18075\n8582 16426\n20279 55028\n27657 49563\n5757 74786\n97707 98136\n61179 99807\n32037 95130\n67738 97576\n3361 84690\n65861 69147\n26588 82386\n59582 99365\n23205 57102\n24818 44729\n59772 69115\n6608 81372\n16910 93447\n33299 34652\n7534 82994\n58772 58904\n1520 57005\n55881 79613\n12850 16826\n10464 77106\n5367 31097\n18969 89808\n35160 82840\n10147 63057\n45425 75247\n14671 91173\n34577 65567\n32933 97070\n27097 97472\n1458 2990\n49910 55492\n21688 46472\n78165 92517\n64271 83913\n27053 63385\n77848 98642\n49734 90172\n63562 75807\n13810 44505\n37239 74216\n72053 84405\n60423 92055\n43199 52830\n67634 94868\n28948 51159\n17756 64707\n1105 80696\n44040 83098\n52190 61513\n18885 42600\n23345 52250\n14597 61766\n35246 85749\n37524 39577\n4825 24625\n46374 99874\n18655 83409\n8345 83364\n21467 76064\n80022 80688\n6217 74839\n1869 12395\n42398 58118\n3134 68663\n2736 42780\n54131 64379\n13717 94563\n4168 81571\n10841 79552\n919 81003\n23335 73675\n72413 95376\n28336 49972\n4372 39857\n18201 39890\n4925 19954\n8089 93256\n2175 93544\n10625 39883\n13446 15758\n60711 95273\n85062 97516\n4674 7548\n15082 69199\n84661 86792\n59774 63134\n3600 62902\n38372 39049\n91432 96302\n31850 55533\n64788 92584\n19430 88363\n58617 76901\n65704 87231\n22567 43603\n46507 94432\n70584 98654\n70224 80659\n48157 48455\n14278 38294\n8997 88740\n92 52468\n505 14022\n10939 29337\n50478 57042\n19195 97425\n23125 38222\n58486 68066\n54818 70744\n6322 46805\n87747 91014\n49307 77668\n17049 83588\n16098 90914\n40003 52172\n58733 66761\n6699 40785\n32507 67061\n37094 46326\n24966 78034\n14376 94227\n47574 96970\n22272 61738\n30840 53167\n22392 67030\n13396 52505\n7808 40134\n76257 90888\n22231 29572\n21189 52210\n2674 35201\n18054 29748\n5813 7763\n20195 90833\n746 31870\n10829 12483\n45957 97023\n11356 27338\n33687 40947\n59803 92820\n1932 66743\n13729 65754\n74551 93678\n10695 33622\n69114 81476\n16547 80959\n75267 93600\n40564 48422\n48088 60878\n28642 28665\n12491 84493\n63705 69494\n55472 76502\n235 77130\n23063 49068\n58994 86062\n9547 78252\n56741 91170\n26450 83209\n79919 98976\n78028 88351\n61494 66533\n85298 97954\n13617 45489\n26077 66372\n45014 82280\n59863 87622\n44305 56588\n44009 63428\n85911 98029\n42824 68213\n12302 51903\n54037 54073\n25018 75969\n29323 58137\n35637 39431\n67208 97510\n71536 99049\n44836 76821\n57991 95998\n12581 31611\n81642 99690\n22935 94467\n89603 89822\n10654 85264\n20132 92801\n20645 56526\n27876 54530\n57344 84331\n63548 78317\n64104 97766\n90650 97348\n1819 57912\n19072 39549\n39392 99335\n21461 92351\n27447 66908\n1797 98030\n4456 23134\n14041 20479\n27005 55740\n41467 59091\n4107 46113\n35016 86309\n27659 79440\n68606 69781\n53980 63696\n21105 37440\n48320 91850\n26452 80131\n11991 77206\n5857 90328\n59505 67614\n22540 90173\n15833 99463\n8021 17400\n26200 31883\n37040 62958\n2982 76029\n7602 91652\n35628 45778\n18737 28292\n11146 98784\n27945 50682\n15478 80132\n36789 74575\n668 41634\n76454 78614\n62692 90804\n45337 63342\n41773 83770\n65851 76820\n75035 95977\n54281 61000\n11488 85673\n10188 86671\n9957 23577\n5721 24970\n9285 73760\n61345 91048\n32919 56637\n63367 98973\n82827 93119\n49123 63708\n65208 69895\n25145 56508\n30707 59904\n22993 47454\n11662 82712\n7860 15555\n987 34593\n48333 52060\n88394 90465\n979 31602\n952 66950\n19063 36711\n18529 67558\n50363 92530\n26008 99285\n47187 73985\n63903 67798\n26341 46944\n25972 43629\n15170 26501\n21848 74598\n39553 40700\n21846 48157\n29604 63188\n5022 48395\n70903 78335\n85394 89258\n7707 31799\n86220 99768\n21470 47386\n21530 35604\n10767 16530\n41540 87618\n49193 57897\n10503 37779\n14952 96120\n86668 99292\n3096 74948\n30119 62861\n40857 91144\n4257 74519\n58852 84202\n71677 87952\n20934 60200\n61704 62989\n25885 35226\n98564 99681\n11800 44589\n9777 64802\n4460 98100\n1074 11113\n28941 55182\n16801 78111\n66303 85300\n41813 97748\n40479 98471\n6466 63303\n55601 56937\n90788 92682\n64080 65209\n21305 95333\n32324 42097\n18049 46066\n11111 86689\n76739 84495\n48666 63119\n43664 92259\n93670 94430\n37748 49341\n43706 59267\n15062 62467\n14897 40120\n2634 87199\n2427 26351\n45229 65381\n92811 93004\n52885 55200\n24264 62951\n78916 98287\n86914 93948\n4944 12664\n32843 74092\n81776 86285\n18485 55107\n34260 91712\n26356 99619\n32707 95855\n56459 91518\n64626 80665\n50171 99398\n21307 75579\n40281 69407\n17257 82640\n52694 70190\n53302 92522\n37797 40222\n23665 58229\n63185 84062\n16966 70300\n4728 85452\n46731 97069\n40454 83388\n14668 38848\n20647 26413\n205 29420\n64581 82228\n52939 84793\n44659 49063\n26308 31723\n16766 88968\n30020 64451\n42533 43046\n78329 98197\n51885 63782\n72514 88828\n22374 88626\n45907 79846\n91006 98892\n4262 66835\n21435 45386\n43912 67019\n66358 81712\n15884 22787\n89196 97721\n76449 93461\n31361 68703\n56870 83313\n21257 46584\n31912 92173\n1925 92943\n11523 89708\n70427 89794\n18009 73651\n40575 66226\n45151 79328\n80244 96476\n8389 89837\n36746 58953\n5327 9631\n21754 26353\n43701 65090\n70692 92140\n24443 32486\n50868 72542\n83297 98346\n29664 95821\n16236 76169\n20926 45991\n29943 48610\n12284 50520\n77736 98450\n34750 88877\n28881 69184\n25653 93673\n78252 99875\n7124 98463\n9718 54927\n67151 81413\n12908 45493\n499 92309\n20807 68541\n26251 95886\n38414 74184\n50411 52694\n57360 62441\n36442 83672\n51188 99539\n42466 44868\n37287 76100\n3244 28993\n2226 78810\n56461 85677\n5305 64427\n27731 29954\n2074 93648\n40861 69874\n6109 65792\n7484 18902\n21577 51841\n1116 29917\n37397 42659\n56310 79020\n29344 38187\n47265 94336\n14799 35921\n7674 24252\n3562 93767\n540 93324\n66406 87053\n46975 51056\n3898 42223\n34936 57966\n785 86444\n48109 88978\n18120 38879\n70297 88369\n20689 41505\n74237 99657\n43966 97426\n83160 93759\n40259 42542\n30331 72450\n1685 24763\n36046 47959\n9897 76487\n6451 29089\n67193 86960\n37589 49378\n39704 73514\n7295 63307\n28711 55099\n84459 99303\n74116 78843\n83544 98354\n35978 91074\n46052 88852\n45689 85104\n26194 32666\n26904 54782\n48671 58321\n63212 71589\n12254 53125\n30481 47619\n56485 94835\n44395 89707\n21781 68783\n16126 65028\n36597 50064\n24003 44966\n79820 82812\n8156 90340\n5816 47876\n36094 83646\n75945 88478\n7106 82585\n36790 96151\n68970 84793\n7029 10069\n5384 74965\n13747 25604\n54448 72438\n28345 93613\n919 96310\n13980 22979\n33024 58552\n2231 6354\n46590 92771\n35464 67828\n45919 99274\n14482 87332\n26984 97938\n982 84513\n20274 60801\n36768 92378\n1534 26699\n21773 51836\n59559 71715\n58853 88261\n33819 81200\n54507 86339\n67159 83855\n94457 97333\n11771 51204\n64273 85265\n10911 57530\n16642 17372\n20563 74170\n9740 89647\n49512 70049\n32923 99011\n42440 83848\n49448 65101\n61877 88738\n46049 46705\n31156 44748\n16478 49690\n283 27018\n48039 87668\n5769 15107\n6530 50788\n56284 75383\n16825 96672\n82088 88130\n32741 56847\n2091 44674\n8246 57927\n14204 82104\n55468 62704\n25168 30743\n12481 89136\n86371 92378\n50121 69307\n16482 55830\n8680 83890\n36316 73469\n41026 43908\n3621 48776\n32629 96730\n26647 76913\n17308 32628\n69446 76225\n3790 32470\n48568 53944\n14754 63900\n17412 61701\n10268 72696\n5863 42580\n45156 73008\n60317 65962\n16839 86868\n25700 66969\n11842 22439\n2356 94428\n52289 53250\n10054 45346\n23284 55497\n20394 85591\n22108 81045\n61123 74176\n61378 71790\n45403 77059\n62322 74144\n18424 94098\n46359 94069\n26750 58191\n81355 86747\n30086 47395\n24095 88619\n14409 33805\n64379 77314\n2959 98938\n50531 91993\n26730 66007\n23561 42929\n52920 90432\n45575 77717\n18653 28195\n46381 97289\n6557 13449\n23435 88280\n2469 6087\n34112 34484\n41799 65100\n40282 90886\n70672 89060\n60273 60761\n49880 79310\n93424 96188\n54413 75537\n12669 79026\n80691 84059\n1 15940\n32284 79538\n26483 34055\n55552 72243\n15929 99493\n10419 37206\n21544 30957\n2099 67002\n5012 79437\n57794 97730\n288 30970\n8829 49511\n51537 67644\n14978 49675\n12901 49605\n25097 43433\n35180 57926\n32840 33194\n47338 70913\n68102 78839\n32225 90681\n79862 97367\n26723 51081\n30953 80464\n48818 49748\n45726 92232\n56876 95847\n88030 89166\n614 45992\n42655 93568\n42029 48641\n30423 77640\n15282 58937\n5550 50314\n57488 88515\n44068 64687\n10724 57271\n99789 99910\n43682 63982\n20841 85410\n15707 79444\n51225 64511\n32798 56344\n3393 86254\n47104 91096\n62005 87900\n17779 90054\n30516 40118\n50933 79451\n30190 38983\n52641 63367\n2216 79776\n60120 85458\n12929 71909\n17301 72047\n79653 90667\n26764 73912\n28171 42114\n35833 62079\n45527 78920\n8010 86412\n28741 55401\n53785 56285\n15785 66921\n10800 28534\n26777 27700\n15231 76772\n42681 66948\n79688 79732\n64014 87483\n3586 42355\n44277 77236\n6391 97915\n50883 59818\n15821 81454\n8898 27238\n12338 84718\n67299 70710\n87557 94462\n78993 97394\n38048 71775\n20335 73276\n73884 97135\n65227 92477\n20833 38096\n49699 52144\n52688 64560\n22699 48341\n7295 27736\n8551 29381\n15245 63987\n61055 99342\n45786 45813\n92591 97120\n8334 39542\n24023 90965\n54708 83951\n47983 75757\n38594 88120\n2692 33331\n916 61148\n69235 79493\n10492 44366\n85213 96506\n18134 99812\n16238 91814\n18187 44143\n23511 24734\n41112 66363\n5619 66533\n74010 86608\n11057 65467\n56322 90467\n63270 72012\n59863 65833\n39219 80943\n18843 60920\n84022 94437\n53219 82960\n18822 39186\n4554 10307\n11264 51284\n33334 50228\n71506 98379\n52546 68747\n18470 82851\n38098 81902\n55252 76717\n12993 68677\n57698 95714\n2094 45511\n30086 46874\n54195 75440\n24267 39197\n57231 96144\n2726 98791\n28552 74736\n6438 33465\n50510 74530\n20860 63086\n49274 77252\n384 8356\n43244 69321\n26647 94011\n43902 67673\n57914 83089\n90139 91028\n87783 95240\n365 76292\n47511 53707\n18729 60982\n26275 96429\n8761 32282\n41698 55620\n21227 39943\n19391 90970\n40384 85214\n27454 46167\n14167 92454\n20188 21956\n19487 71955\n20131 43597\n16456 84671\n10560 99482\n33694 86210\n6301 42136\n57621 72286\n8413 71848\n59317 85419\n70671 82466\n48017 62693\n7772 77343\n6683 20070\n29612 63816\n19025 38608\n50776 87638\n22634 33635\n55222 96789\n3964 12387\n49389 66501\n3602 31784\n5001 76869\n11125 99943\n13583 44350\n84582 94292\n36484 58085\n30727 43998\n79328 81757\n7550 80211\n6604 16278\n11584 59634\n37581 66134\n15470 52069\n790 60792\n33872 47168\n5770 83074\n8051 94739\n20213 23656\n46326 48908\n17251 80264\n36190 60945\n79867 86601\n34861 91662\n22484 97850\n27342 61623\n61723 84351\n11598 24150\n69189 91053\n24620 46005\n38551 99806\n13768 81202\n32448 41417\n19235 65405\n39426 97286\n61824 81495\n3242 36647\n2737 56765\n26047 74751\n18606 60132\n7462 58883\n34645 50202\n65348 85371\n74660 87009\n18905 21384\n35965 52183\n34404 53034\n44066 46424\n11140 72190\n57542 84266\n46823 89588\n17363 50922\n3261 15534\n30468 88678\n6729 50885\n18248 63863\n31930 60766\n59680 67298\n66036 90313\n33940 77685\n48658 60688\n13343 48353\n20141 25490\n44596 72293\n547 92575\n65369 90170\n18977 20943\n37704 85605\n10197 44300\n35164 53762\n61119 68214\n39399 70470\n3610 11876\n24769 36909\n80053 94917\n17595 60955\n22272 40276\n22515 66306\n749 23119\n26559 92534\n37317 51916\n3684 43399\n24913 93267\n21437 48539\n55035 96756\n6339 94613\n33820 91814\n3481 62710\n64207 78408\n2283 85950\n57 18909\n55697 57313\n31613 46224\n82622 84288\n27061 48496\n45918 91769\n35029 98115\n13319 77321\n53356 78622\n30632 64266\n46758 66775\n280 60762\n36475 98121\n28658 93662\n14110 24982\n7708 86706\n44105 65018\n14450 57426\n7388 36415\n24582 76021\n31431 86576\n32880 69820\n83479 97380\n63184 67940\n8449 83176\n34574 85286\n9323 39115\n37781 47144\n39862 67111\n14465 15619\n57346 94207\n73782 81406\n65718 86893\n14814 93066\n2383 37369\n1369 16042\n3097 27844\n9136 24412\n22205 84996\n15547 48227\n11782 42370\n72717 86709\n37425 86337\n49886 86565\n83504 94971\n7472 14753\n21458 35786\n19449 44307\n35852 51022\n14834 42293\n26675 36602\n34438 87192\n5528 78412\n55315 56249\n9240 93703\n70799 91688\n55250 90697\n21456 29645\n7054 29967\n35310 49352\n35341 57341\n90658 98650\n82901 89339\n23730 40048\n70225 75805\n35190 72962\n22196 97239\n80629 86142\n39117 80868\n42249 67485\n29248 43609\n20144 21342\n60762 63975\n18224 74475\n12210 48065\n60877 70341\n9647 28375\n63278 96120\n75315 88843\n5270 14054\n21879 91081\n52467 56175\n99 62612\n4142 53570\n26101 46393\n9528 11057\n22183 54569\n7390 31736\n43947 44001\n9165 13358\n33195 38572\n62989 69261\n67566 96777\n4861 8087\n32519 53697\n7299 95209\n58535 74974\n58112 71227\n47611 54531\n88260 94159\n51152 76017\n40393 58586\n5612 78014\n1987 13681\n15563 47023\n38687 68206\n55550 97210\n11482 87761\n34011 88393\n23296 33999\n44240 70617\n64698 67446\n33848 50789\n3829 29153\n13358 66584\n50145 99975\n14764 62122\n13381 74670\n3877 82635\n5534 69859\n87169 97243\n23968 28158\n61983 79467\n72533 95005\n27848 30661\n5988 82249\n3832 64007\n6642 32597\n8138 84076\n18280 48382\n36613 54660\n10446 37234\n21220 21621\n52547 84360\n49156 99465\n35367 42724\n17003 38739\n15171 43622\n55565 92448\n28944 82966\n41765 98072\n30741 80053\n96113 97485\n10072 84480\n11613 54415\n29365 97682\n20829 43249\n23968 98259\n15780 16411\n11879 56509\n18091 91706\n25491 55789\n66409 86252\n36006 78944\n48884 87625\n13054 21861\n6536 56955\n12182 73578\n29631 93507\n14137 85563\n28123 37157\n29107 51567\n12843 15485\n83822 90123\n17490 77774\n14473 41679\n16643 41830\n17126 61244\n43416 46787\n48670 93691\n25762 27632\n79099 87486\n44153 98336\n76693 80198\n26661 43197\n67235 90856\n19962 64376\n36773 78526\n2133 28982\n63675 89618\n57002 70531\n25117 58330\n27518 42824\n78849 81628\n51080 75259\n26864 45198\n48540 56544\n51244 74893\n20882 71064\n73097 84362\n85010 94297\n46505 73339\n35652 98759\n10829 27246\n70256 99321\n5496 26207\n38160 96370\n90951 96562\n27400 49602\n1654 92373\n20344 37935\n18927 38712\n70857 99754\n47678 86145\n18366 93044\n1342 50923\n48090 87334\n43733 51381\n15596 61881\n7544 37225\n12881 50028\n12760 87647\n73952 93078\n16659 46759\n68453 73839\n51750 80876\n8969 71741\n73507 84000\n48345 94074\n37443 62914\n49399 83997\n22196 95820\n67820 96744\n88262 98243\n43709 92550\n48096 67190\n7997 43459\n75766 84429\n12493 57097\n57180 85186\n44525 60717\n15184 43516\n26945 99785\n13825 81353\n13897 61556\n60577 76438\n89286 92281\n46038 81168\n3651 82699\n11353 29569\n25708 75980\n39038 88291\n26396 43583\n62656 83706\n42566 61537\n32760 76656\n4825 95354\n5565 87080\n34628 76564\n31050 83929\n27265 30728\n84380 84882\n28262 79194\n24980 79917\n87344 93662\n4615 25558\n28455 31983\n93426 93653\n21012 85581\n1029 90817\n19371 37594\n10379 88079\n8403 80497\n26120 80448\n60623 97996\n12277 82654\n4704 7317\n15521 22072\n54243 78652\n10612 38037\n493 23316\n8653 63500\n67890 85898\n14701 72707\n8891 91288\n32864 47682\n6670 31550\n51460 96779\n46245 85624\n8248 93156\n53522 93852\n35177 35894\n72540 87753\n64647 87022\n26514 59325\n73260 76907\n28849 64600\n85021 94952\n52639 76649\n66947 99420\n6023 46600\n44044 90469\n37159 71176\n7582 39961\n9884 75831\n56305 63741\n22567 71115\n38327 40294\n37786 43450\n41837 50517\n4333 24523\n46383 87760\n36157 92426\n42799 53142\n17592 50725\n35754 67298\n83039 91162\n14628 80986\n15521 82085\n27875 80243\n83660 97447\n872 2605\n74852 86154\n19441 90182\n16912 23945\n19982 38143\n18638 20949\n70471 96443\n10086 56108\n24319 84378\n87847 94646\n39725 57041\n46085 92790\n1189 84540\n37264 73063\n53904 87533\n7835 99265\n17208 33390\n38105 86260\n19801 39904\n78835 87056\n55401 83978\n49754 74246\n24472 83396\n15785 60429\n39233 91153\n7587 10919\n23941 85065\n4193 9075\n56279 72457\n19413 28638\n46575 87213\n76112 88714\n23477 37637\n30471 82078\n9871 50878\n8536 32822\n46922 89809\n4603 96264\n16568 22076\n26940 78295\n26688 44907\n26155 79213\n8745 36369\n1795 88129\n8481 77072\n2226 37026\n9851 25195\n6933 44499\n24016 25783\n49965 51771\n34468 76787\n35379 82571\n50575 81163\n10991 11608\n8985 34834\n18844 56086\n28828 38459\n13066 36914\n14208 85309\n14968 79650\n14429 90657\n48049 96917\n33156 48590\n21800 70734\n51380 93538\n94546 95786\n13932 21706\n25271 38078\n1082 32032\n46778 61697\n10568 31910\n3535 92691\n3108 65685\n83912 91780\n84619 87699\n26209 49975\n77296 99136\n52593 73087\n36063 46369\n69550 84150\n78250 85669\n10973 39460\n19498 51952\n50496 89793\n13899 80321\n49686 91644\n86347 91771\n15184 17969\n37580 84232\n918 91824\n53211 64511\n16696 55791\n19542 66546\n61852 88351\n52397 72141\n59083 79216\n27031 31797\n49821 53738\n55605 80087\n68213 70841\n63362 69606\n45518 96914\n61277 93226\n19400 19594\n29803 85672\n777 32459\n44508 89197\n69544 92167\n16996 86292\n17047 90477\n25123 50546\n52188 57144\n47738 58212\n24133 82360\n45002 93019\n25012 86852\n31151 37006\n85047 94385\n72227 95608\n37225 90494\n6388 42543\n54978 86399\n1531 59164\n35515 82858\n81659 88535\n68847 95462\n22460 56620\n36888 52993\n64077 82103\n36207 42770\n18319 83640\n29776 38122\n7101 13648\n24189 62015\n76977 79942\n18021 46447\n48989 93528\n51500 88070\n39650 47893\n1396 63865\n1053 12003\n33256 35398\n2992 98082\n77967 93658\n52242 90037\n352 73171\n21447 98281\n7499 65944\n27986 51286\n63884 92058\n21360 78217\n9868 98739\n87191 99511\n67764 99185\n27238 31255\n71357 72384\n22159 39560\n15802 47670\n5203 15952\n36267 42293\n40947 46645\n10181 18108\n6461 67021\n10638 54803\n70582 84181\n41019 58589\n61260 64909\n79658 88850\n31184 39821\n76077 77935\n40145 45940\n91874 96809\n73335 88513\n81460 87193\n41960 95165\n40 49340\n32410 99368\n4259 66764\n21348 46013\n64900 75196\n69874 95709\n23599 32506\n25295 76692\n27249 79791\n17788 66861\n859 70661\n51490 90775\n24721 51671\n46204 71819\n57129 95381\n32678 71285\n40796 59245\n10235 81605\n77333 79983\n32951 38815\n81465 82101\n2731 7655\n11717 58931\n3196 66054\n30984 60413\n53329 62015\n31123 68924\n76130 77690\n78826 92835\n40222 98098\n3549 71733\n26945 44951\n67349 87051\n2845 55605\n11036 94849\n16229 17654\n8283 95663\n16998 25397\n17200 35662\n56732 90833\n62250 73004\n8401 35612\n11063 14049\n18525 42614\n83258 92227\n44647 45360\n63895 98697\n38556 63026\n64727 88839\n13771 66116\n85039 88361\n9407 74259\n35685 60334\n3549 8981\n23345 95772\n31128 61470\n52509 75862\n34038 57121\n27019 85946\n10680 72843\n7744 23414\n15652 83520\n58223 69087\n29559 83303\n10471 74163\n7071 82531\n34439 41375\n38345 84867\n34546 52523\n2352 21057\n5082 70788\n63486 82604\n15468 67227\n10467 78208\n62549 63965\n17498 80527\n20909 94525\n216 5017\n22083 26715\n4239 14758\n8425 13709\n17001 42584\n57566 81375\n33114 81215\n38878 49114\n66 98390\n66625 90537\n5866 11107\n7536 52356\n960 63484\n73219 89026\n1810 50190\n13355 56247\n45425 59349\n19370 38970\n20731 62529\n11277 88036\n30547 45174\n66780 75530\n9278 42554\n83125 95858\n65360 76446\n23756 81833\n32194 83983\n3588 79979\n11889 51070\n73787 79437\n32180 65279\n40340 67272\n25042 48779\n15833 42833\n7870 40438\n32068 98977\n26250 71706\n22439 33135\n79094 91732\n50402 95566\n12310 86202\n47216 95411\n28593 68405\n69621 88033\n69427 83423\n74196 96885\n39635 63591\n84413 87860\n25898 29466\n29568 64148\n5990 98010\n52156 91338\n7214 46654\n83294 83534\n49420 86685\n14638 52659\n32459 78005\n165 12437\n9765 30129\n18905 96625\n53089 55503\n30546 83034\n23440 82135\n49582 68061\n12574 57349\n46790 86434\n49414 86276\n44778 86664\n10330 22420\n45655 56788\n15780 33352\n25965 41794\n733 27560\n23124 85974\n37170 47017\n52007 64519\n206 2478\n69089 98236\n27257 68553\n19777 47916\n5206 66465\n47864 95529\n1022 56470\n39478 78956\n9856 98627\n35249 50533\n35002 77027\n19790 66295\n23233 69814\n62717 99579\n35894 88490\n7212 74912\n30944 57232\n26717 66477\n14836 44539\n35482 84589\n73998 82304\n32374 91736\n73058 87996\n38268 84061\n84355 88721\n82825 84864\n42626 72936\n10716 75135\n11734 25794\n13316 69454\n16769 36030\n27267 85829\n11985 97486\n64668 65136\n47994 48886\n44848 87949\n42619 71497\n4989 55318\n55239 98282\n2567 76588\n44846 83386\n26286 64841\n59654 96001\n33298 74662\n6210 35833\n65445 93406\n5715 96000\n11142 36055\n80202 92885\n19088 42741\n9516 85270\n43468 59922\n1644 15068\n32984 48829\n11235 55837\n59081 81610\n53114 97898\n33757 95884\n28218 68124\n16067 28426\n7737 41854\n49217 73086\n13280 62087\n5801 84575\n23695 26239\n70294 88468\n12723 67470\n33019 88295\n34704 92053\n1503 86365\n15973 17764\n25634 39634\n21376 91981\n20614 71307\n90445 90949\n7238 58915\n21727 81754\n3371 8604\n14736 77438\n36604 82676\n52082 77221\n39696 94712\n10648 68979\n32476 81039\n55441 95553\n25880 93337\n42543 61922\n71244 73673\n21685 47874\n39449 72220\n25489 43316\n22339 70599\n42429 75034\n11242 96090\n12406 50200\n39467 67483\n20179 66406\n185 70539\n48755 64063\n16069 56370\n39730 69091\n18841 89549\n30853 96092\n6414 85503\n61842 90817\n24299 33509\n9402 29511\n36885 43916\n21988 65890\n82747 84223\n62358 63227\n13345 89760\n39571 96262\n27510 85851\n30160 59807\n4575 6666\n22303 56330\n160 79698\n36910 82247\n7191 29975\n69218 70304\n38176 74468\n57346 85376\n67673 80296\n37886 72806\n14276 45070\n649 9845\n35036 92459\n29320 96650\n47072 92037\n10071 92385\n53208 98049\n10812 53895\n76238 99215\n8449 79903\n28199 90653\n11240 97382\n6869 39397\n37400 70809\n9539 69793\n48718 54627\n41851 72115\n60512 65156\n4973 70798\n21033 86745\n92784 92930\n43516 94114\n67824 94643\n40419 90498\n58253 97857\n35745 51497\n44845 72439\n44575 88171\n38626 98224\n1249 4610\n4668 98547\n28576 57364\n63017 98277\n39458 39980\n53357 70819\n45377 65461\n39102 91364\n94144 98337\n25927 32043\n49316 96782\n76618 86236\n67320 99392\n56028 90036\n51659 64665\n22671 69933\n36170 76074\n10945 77618\n29573 52667\n1709 40617\n32474 62276\n4162 96146\n9126 70081\n40034 49514\n9024 77601\n16400 72082\n17577 66776\n51027 80696\n20155 24934\n12576 53794\n3593 90654\n75518 89226\n43683 66224\n80540 83304\n67068 97939\n2924 90344\n45715 90099\n13671 87988\n1650 97526\n32376 46219\n43503 69568\n11567 21702\n24209 97578\n74243 92328\n66252 89999\n33717 79154\n76336 77140\n35999 59956\n18190 32741\n21388 77177\n1 77918\n17501 41754\n15399 66714\n42569 57802\n45302 65485\n20483 96872\n64265 87931\n48555 76843\n37049 68288\n39894 69033\n13716 58968\n2103 64631\n68505 74508\n29957 61367\n27545 78584\n3663 93968\n56326 67326\n10753 17348\n11136 64784\n13393 14273\n33122 73194\n45573 56399\n4196 54636\n38863 54322\n6280 40493\n17159 55734\n21703 76792\n51383 55350\n35340 90882\n9221 71785\n26973 84693\n48628 84243\n78832 88678\n30634 30958\n51802 92153\n48388 59209\n9399 24327\n57441 97655\n64573 94125\n15431 80831\n17977 95826\n18737 34953\n9752 37878\n74909 75412\n6447 12183\n70917 91745\n4185 96251\n58269 88607\n43093 96310\n79650 97762\n4885 14906\n17458 77932\n2414 42650\n49236 77237\n11007 59701\n5598 54208\n33970 52205\n48561 80766\n21500 84510\n53138 84010\n44091 72164\n31388 60555\n24460 64423\n28710 35795\n6635 87338\n66888 96883\n49114 64674\n37530 84681\n67788 99607\n117 82593\n59760 65312\n64618 87152\n37899 74190\n18761 96607\n12731 52478\n59293 63130\n56016 98461\n83967 94763\n15917 18546\n57341 59916\n8162 43403\n3600 98003\n74088 91970\n12569 14679\n36780 83844\n4009 90340\n20482 62049\n72781 97954\n7533 14155\n4698 76123\n20238 36692\n29938 46985\n51941 83777\n7096 36659\n22035 64463\n33262 38576\n22404 62179\n13099 57348\n53438 94288\n1255 66011\n22159 36485\n11026 93229\n750 61756\n10597 98034\n27269 61904\n18304 27604\n5305 22488\n45158 72005\n47923 81120\n54662 63281\n6400 87989\n27157 98104\n39772 77443\n7709 57183\n44290 93584\n20068 65508\n155 48259\n1169 20699\n4098 15449\n29636 97071\n2173 70632\n35169 96575\n2873 41885\n11651 20425\n15675 66732\n18655 66571\n6568 40411\n51941 87353\n44183 54699\n33140 77008\n76558 92267\n31668 46639\n5753 97680\n33470 89607\n49712 97973\n28337 50487\n32099 97384\n37379 55726\n11116 32596\n26410 45159\n28203 32633\n21591 45128\n6533 85619\n41156 71929\n25518 72768\n28703 50543\n38087 57013\n32805 33809\n22975 35122\n28237 37002\n40514 62924\n71574 85894\n52915 63407\n69717 88780\n23399 57720\n7437 52377\n54572 87060\n65470 76441\n36861 36946\n14045 22914\n12765 56063\n20706 59290\n34333 84965\n46283 65447\n2663 81102\n17944 55197\n21865 57662\n64178 69635\n50055 72972\n60620 78200\n6191 74498\n33687 48038\n47419 92174\n45972 61630\n23788 31945\n10007 48164\n17473 18597\n31824 99306\n18375 60334\n36510 60919\n18531 35403\n48019 89516\n39037 97268\n84804 94911\n21657 31300\n9189 70621\n8270 17404\n11349 80667\n36281 66432\n55247 68578\n9425 18845\n12184 61369\n15132 38168\n21818 92414\n4359 86151\n35922 72022\n16651 79572\n52353 78754\n9326 86654\n46887 71377\n12100 80746\n6557 96353\n72243 81629\n51202 93941\n14534 16200\n74462 99737\n32164 65038\n44465 55146\n79361 90228\n26335 36020\n53223 78821\n17657 52413\n77627 88016\n37527 47291\n22731 26217\n25721 63568\n55887 67673\n2432 13079\n23826 88214\n6785 79630\n16047 83919\n34446 35736\n25215 48912\n67582 97187\n35798 51181\n72611 99472\n4676 89687\n56564 72261\n10374 45091\n55029 98274\n22233 86208\n73029 79247\n30090 79056\n12321 88036\n20446 83127\n42165 65139\n26416 28401\n84336 92380\n51349 58771\n10352 98443\n33142 47374\n22090 91601\n2468 36539\n89651 98393\n86093 97763\n39026 74812\n3151 89746\n58899 99713\n6396 13336\n75522 99688\n79859 89999\n50129 97105\n69891 78210\n27750 57543\n6962 89015\n11966 74443\n21847 36161\n85910 91761\n8940 63524\n48115 55997\n3565 58521\n10084 89738\n51042 88511\n36948 79461\n13065 20980\n4871 73081\n10073 70346\n44594 74417\n41501 78045\n9778 19477\n8755 28275\n63383 93027\n18303 43819\n47592 82262\n91428 99374\n21500 68941\n18429 87003\n4367 67418\n51933 69366\n11415 56009\n6963 75037\n36747 75761\n67612 92313\n11380 71368\n63436 69471\n38487 64536\n26475 26795\n36975 55007\n86053 97868\n34247 34893\n2524 78382\n46894 81801\n5607 79272\n37103 92573\n46090 47191\n3299 99156\n21438 35830\n346 95273\n28335 37662\n14579 64863\n74961 90000\n15442 64455\n28154 82146\n33830 42118\n32281 73292\n6431 93071\n9751 53621\n2311 34682\n55692 88000\n22274 72217\n8836 86476\n28613 32223\n35422 90473\n13855 62347\n11789 23670\n30721 57662\n3534 92585\n18349 69071\n46229 75960\n2079 91854\n1379 89323\n39755 76231\n24598 65308\n26577 98822\n36610 36639\n46290 82027\n18400 31273\n30592 57009\n71016 76009\n42203 96069\n7753 96331\n20798 22514\n81388 82074\n17976 18837\n5885 32674\n6518 56347\n13378 82513\n21588 34501\n17791 58825\n41229 63832\n18500 48023\n23407 32608\n19176 29922\n31908 80302\n28570 75135\n16637 65922\n54107 58196\n56672 96499\n51967 76844\n21918 79337\n49329 61696\n34841 44078\n77155 82164\n1 22297\n29757 71466\n53775 79006\n80992 88918\n63862 99848\n30157 62491\n24227 24354\n25149 79420\n57963 74320\n26593 31665\n6327 38574\n81417 92054\n49433 70471\n44919 99989\n49714 66304\n38239 52383\n25137 87777\n80371 98906\n62627 68603\n8095 35762\n78560 82991\n50381 55992\n3326 8797\n33301 59006\n53513 81599\n74837 77027\n16645 74906\n33838 84584\n8308 51090\n59293 81021\n51958 71438\n45408 71906\n3225 68608\n75239 82680\n55017 66813\n47946 87331\n74750 86932\n27556 89074\n11110 24242\n31089 77577\n9798 69081\n3504 48010\n28696 74667\n77889 80699\n14181 77785\n4403 73343\n90390 92319\n9801 69378\n29792 84715\n54258 55364\n62184 63322\n24218 34035\n6937 31391\n19831 26246\n38884 66957\n47752 80317\n12670 50643\n45127 58067\n22209 61136\n53678 93145\n66157 75875\n54972 60453\n34095 66553\n58209 97727\n19112 57092\n16488 37265\n88021 99515\n75420 83343\n30322 99653\n30480 43659\n30348 75409\n6913 36243\n33810 66581\n40052 61287\n73698 77578\n11401 26575\n6902 96173\n8224 74288\n12500 32818\n16037 55813\n26476 50097\n45818 49217\n16203 87104\n86246 95206\n18531 76152\n18004 86274\n18313 82108\n54287 86405\n21962 94437\n14405 29864\n65769 98496\n15954 87025\n29803 34705\n56653 62047\n44484 96335\n19776 40117\n2996 96540\n61115 91834\n64698 69398\n13615 49030\n35094 78741\n39088 84064\n13911 81026\n62187 75578\n14773 43537\n56402 96540\n57117 63865\n19990 21212\n9076 30413\n9456 22363\n92181 99654\n47807 55679\n26512 54901\n1277 30516\n19217 99211\n30200 76586\n72476 79462\n66046 87430\n35039 66927\n28149 81441\n42485 68505\n48312 89759\n60621 89733\n4104 68906\n13130 83679\n27600 74550\n22440 24081\n42656 48533\n29254 95889\n41826 87129\n31726 44353\n25928 83540\n44581 73386\n504 22971\n12945 31514\n63992 71157\n25911 67264\n28636 99972\n49619 59570\n52104 99571\n54224 57540\n40474 69346\n40401 54784\n21444 35849\n31234 99068\n23123 56870\n76327 98769\n11277 63941\n36285 47531\n54194 59857\n12880 49728\n54699 71702\n4090 46269\n10988 27057\n8516 83675\n78884 99974\n17263 89166\n19803 41673\n89015 92725\n59981 63636\n60068 75436\n60237 82413\n59517 69657\n14689 23404\n44780 79932\n25294 31929\n8976 62503\n36408 62139\n87930 89318\n41743 43483\n14317 61055\n13016 51466\n4860 13719\n18672 72283\n15436 70373\n7051 79699\n8994 81344\n17436 39852\n36489 41846\n34736 50350\n75129 89862\n42199 92946\n3578 86403\n35379 70276\n29144 80108\n21277 77898\n14756 47184\n27280 60772\n24821 69127\n87077 96046\n14653 31908\n21952 28860\n14588 24601\n38316 91142\n19197 67150\n58779 59170\n22970 53268\n62607 85669\n1841 28652\n60384 86806\n3900 23111\n41268 57560\n54106 65551\n75665 92643\n44699 57632\n492 16087\n40329 43144\n32330 89554\n20849 86920\n49560 78383\n91214 97662\n66796 86437\n47750 92458\n6321 36500\n38443 51815\n1780 43018\n82159 82599\n52237 65527\n15865 65703\n71298 91018\n23462 76335\n80412 83488\n50122 70857\n90159 91651\n91108 93479\n32874 96617\n72932 75922\n9530 17647\n17482 44951\n17622 63288\n13104 41997\n3955 82957\n3544 64058\n51714 72127\n79957 83179\n52050 93678\n7495 55217\n13642 98660\n51242 65947\n57199 66501\n23525 71189\n46206 82385\n42964 68199\n27566 36085\n36424 60737\n69547 74140\n13860 96664\n11700 81376\n3359 13091\n63091 67496\n19923 63987\n21478 51999\n24460 81646\n81790 85552\n38891 42971\n27531 56363\n11353 58664\n296 48812\n81910 89837\n80628 85327\n15224 92031\n4313 46876\n8639 51152\n3256 80798\n12701 64596\n12600 15210\n14838 65023\n59410 99097\n29309 95973\n4380 52099\n22391 91791\n64489 65402\n35209 47090\n12955 54581\n60281 62155\n9542 38820\n3841 36690\n43821 64552\n72253 92313\n19836 46422\n4897 94321\n29542 81701\n55413 73851\n67392 88790\n29932 84650\n25765 28133\n31782 51967\n61399 90469\n552 94716\n48246 63463\n83528 90420\n11506 68433\n25175 27731\n27700 78139\n54490 71287\n37897 93728\n17025 26790\n28470 70339\n5014 85793\n36987 97676\n33403 86493\n44887 77957\n46589 73401\n20020 29209\n52801 84750\n19469 85232\n9327 74938\n50520 69294\n29887 89160\n47336 68076\n995 45962\n37892 52998\n7020 28408\n504 54937\n8071 8518\n87718 93252\n29847 38780\n8045 82293\n46583 57115\n2908 45403\n51111 87788\n13186 90787\n49322 86603\n24020 46766\n46887 87840\n64768 74038\n43306 95241\n30794 95048\n80076 87040\n22508 88570\n80936 95274\n2550 51793\n2349 66971\n27862 29420\n25190 38083\n32784 94684\n66256 87901\n11435 35240\n14829 97788\n10453 95500\n7849 94482\n42751 82042\n30531 61065\n18488 34448\n11775 37448\n30112 50217\n41909 57280\n70463 98365\n20423 39089\n41218 96652\n73935 89577\n78437 89662\n6291 34647\n1450 59876\n2221 76121\n2252 10665\n58403 86115\n15793 30093\n88627 88905\n56093 89276\n64854 87100\n75075 79437\n10038 23069\n4376 71577\n62826 65460\n16552 99767\n37650 77943\n55707 59780\n22470 89272\n23738 32657\n31500 87035\n52343 64796\n13429 55083\n50432 50503\n13167 65619\n73830 81975\n51728 54524\n7592 71405\n24822 49513\n31716 92626\n25490 57987\n82291 84329\n15864 47138\n30517 31915\n21106 44187\n21842 31858\n13437 24287\n52409 67950\n93248 97608\n49051 72965\n63603 69620\n67351 88309\n24100 82550\n89862 95971\n29323 77436\n22636 45030\n55242 74535\n13461 99900\n42330 99105\n27724 66195\n60351 88344\n12288 83689\n63867 83818\n9090 79560\n15586 25300\n26334 85516\n72113 97546\n40667 76839\n14810 32907\n13830 98049\n25061 43070\n31515 77563\n4692 60811\n32146 62282\n34017 62423\n58495 78164\n39224 53243\n15798 19264\n1085 10423\n34568 86344\n74231 93217\n30555 72009\n60008 91474\n53380 73885\n52797 79091\n10322 14638\n7043 32635\n66585 76210\n59619 99664\n20720 44179\n38287 66356\n25819 26715\n73125 83726\n28001 76176\n12317 13320\n57398 72961\n50572 83341\n50164 89286\n81499 89977\n20283 61621\n19360 53879\n21956 87541\n46668 88545\n30274 99499\n13135 47574\n55215 99899\n24978 89413\n36537 58726\n23386 51892\n42634 55600\n19548 91675\n84257 90844\n7333 66401\n44336 46022\n8089 11958\n22915 49115\n15516 94920\n29969 56192\n15779 73982\n27116 85408\n47864 56985\n6789 18038\n55926 72310\n18936 47326\n32252 88256\n11420 44891\n55290 96049\n6623 72811\n33279 44239\n14187 31158\n51109 88670\n5506 97269\n60510 91073\n35433 42910\n18422 61634\n87488 93219\n4952 56223\n24310 30220\n69374 83013\n36444 86322\n33609 62261\n38688 77304\n2679 41217\n14907 37791\n28935 61302\n30191 58400\n54210 59824\n19602 58388\n8011 50031\n186 78636\n57480 68337\n22203 80177\n50864 59949\n1068 14764\n54891 99640\n16093 44198\n33232 77562\n1052 31551\n25088 52758\n74475 88711\n806 13866\n18016 59939\n29673 70258\n1168 24489\n29904 34435\n47796 62338\n6729 51056\n24638 27793\n29011 92697\n57859 75445\n21706 97342\n93192 99136\n37607 53362\n31959 83358\n22641 63208\n85856 87426\n20597 97327\n14000 75714\n5714 63142\n8587 44205\n3663 94224\n16624 36220\n26482 92843\n25328 59346\n14232 58095\n10175 80422\n58839 74071\n25702 70713\n1659 72927\n59552 91508\n9538 11445\n39796 92125\n14485 62789\n23838 72380\n1914 62149\n7710 26630\n37358 57758\n24167 49013\n45654 79698\n295 31927\n27002 32975\n35746 53617\n27692 88349\n29724 41177\n69255 70928\n18065 72614\n10532 64077\n448 41112\n12082 70069\n34182 90205\n94354 95260\n16394 65884\n9064 22640\n35470 70663\n62309 75948\n10053 33081\n43428 82535\n3284 5010\n58442 94063\n27336 40254\n21188 88949\n18513 31852\n30222 58868\n5240 63536\n38995 70825\n23070 44325\n71755 81320\n65387 97955\n15333 96084\n24943 27021\n48664 77902\n41813 80278\n47494 52110\n66394 89969\n17798 87566\n33939 75547\n19726 97553\n4060 55094\n78036 89947\n78377 90720\n86136 98520\n78935 80893\n51686 85500\n40687 67578\n71568 88133\n49994 51685\n18807 65237\n43152 95059\n40482 42870\n60691 81096\n44068 86906\n1686 81339\n7306 19056\n16482 44837\n43363 59951\n2920 37002\n12348 55548\n869 30383\n19829 47512\n15617 94147\n60585 90705\n40294 89109\n37347 72739\n27876 59856\n23808 70344\n12505 27188\n15941 57542\n74331 97295\n51996 56382\n1721 76576\n17586 22528\n46403 67884\n4714 29525\n70770 88749\n9281 43038\n64604 72191\n6388 69252\n78528 94961\n41815 78084\n26429 92253\n21304 41384\n11085 23845\n34358 38969\n24363 39189\n74250 98962\n26867 89449\n8541 66244\n5587 11767\n41591 90797\n30096 61867\n81282 95466\n1894 83676\n7493 69839\n70053 96626\n50758 84531\n3261 66572\n61339 99612\n13715 71734\n44581 70902\n20281 21775\n14365 23755\n12558 24515\n27361 57808\n57260 94905\n35454 53952\n3310 11065\n2116 15428\n14411 94794\n6930 60481\n81870 91512\n26632 96986\n24896 75499\n29003 76375\n39763 72086\n16830 32392\n2347 77780\n12870 77866\n25099 50438\n10862 39152\n11050 84400\n7258 46741\n9291 99057\n11970 28645\n2052 67265\n65970 82833\n32084 34538\n40058 74956\n6488 60335\n9081 20034\n23899 79619\n5870 14099\n6559 11696\n19158 29847\n774 38501\n38701 54440\n8857 40977\n55039 94819\n9664 50351\n51200 56194\n50192 78719\n12855 59806\n24274 86557\n17237 26186\n24323 87884\n48320 79984\n4357 14309\n9635 77074\n10604 25033\n12996 36434\n57427 81253\n73223 86125\n15218 91294\n22218 75297\n27943 91236\n10677 35775\n17339 52327\n32818 34359\n31668 36038\n29443 80569\n87379 96372\n13111 89563\n15094 51440\n60687 61677\n6418 51914\n13892 32307\n24042 41271\n34347 86018\n12023 18004\n34575 45462\n5605 49504\n15537 35413\n83812 90093\n40593 46427\n25694 98114\n16873 17840\n8691 9760\n24576 37379\n64885 97131\n28292 34617\n37840 51947\n77693 84782\n23981 60492\n43282 54854\n11453 63981\n15480 81046\n37752 77743\n91311 93774\n15590 98539\n28533 34028\n58310 92731\n20310 71955\n43035 93577\n84090 89531\n44058 48536\n16895 39295\n35242 39602\n40889 46723\n2330 99501\n64401 97028\n50883 53177\n2181 61111\n15654 35133\n49537 97857\n41645 75197\n60932 82937\n28726 31291\n74996 82136\n39124 73194\n63488 97548\n1270 79889\n37196 80869\n13926 70568\n34697 91257\n50808 55097\n7436 65954\n17620 96670\n29606 68591\n12908 81494\n64932 68025\n9872 83132\n60814 86916\n4271 28932\n49341 63072\n35872 76980\n4662 91845\n33559 48360\n44273 66864\n69885 77307\n33666 71485\n3280 29156\n989 41437\n27506 79894\n12490 47925\n22302 25478\n3926 46346\n54846 57286\n7144 62029\n44207 61822\n2793 39262\n43733 49014\n23800 76104\n1958 36196\n28705 58847\n55557 66694\n12082 22076\n62730 92060\n36022 89068\n67036 76016\n9829 61820\n39786 91201\n94829 95318\n39065 66157\n76363 82309\n31948 96916\n34466 94983\n2785 77721\n4241 84301\n17498 78719\n15218 70029\n40612 66297\n91654 93170\n3795 4339\n26331 56956\n28457 88744\n56130 93601\n18675 63223\n95825 98011\n27718 54103\n21148 49983\n4058 78189\n15946 82068\n12254 70394\n27955 71887\n15898 85001\n71038 91524\n72612 92328\n20271 44774\n10231 38797\n7815 29685\n70212 90286\n10830 67361\n12968 14204\n41371 73802\n21772 56321\n68408 92108\n4521 57779\n43110 90010\n4978 15950\n27939 91628\n49158 98044\n2475 83525\n2069 45466\n28451 50940\n23079 73709\n9181 76552\n20784 44052\n31713 35746\n31997 72353\n3998 31258\n8839 56349\n51540 76390\n18969 74040\n25646 45401\n31448 99747\n28743 36959\n72189 89283\n84134 93637\n16031 41257\n31174 85088\n36151 87849\n40303 79862\n41464 97579\n41549 95068\n67720 82809\n37985 70613\n19664 87133\n20692 35896\n26211 55523\n20378 83606\n39363 75641\n74590 82706\n64829 87072\n14801 88913\n71925 95441\n33846 59970\n15887 27619\n33082 91979\n19816 35068\n35904 42607\n60515 72158\n76937 82072\n6049 16758\n39064 42548\n76318 79927\n52796 58751\n50467 52773\n3994 40210\n48371 63018\n14945 29784\n17931 30980\n88289 92604\n6161 58469\n62832 81370\n53042 99020\n28058 75724\n66443 80863\n47157 67204\n35798 75286\n16683 31769\n2607 82152\n47650 73932\n29063 69236\n22690 24251\n43729 60719\n14889 81404\n52451 52629\n52643 73854\n36802 37326\n13577 54432\n1273 9317\n81621 94762\n83404 86586\n84511 89676\n69674 96412\n24112 30178\n22761 34173\n23527 24750\n34710 75762\n38873 50298\n47728 52657\n25345 41235\n12986 17069\n68165 79186\n18300 96344\n4294 27001\n31171 78570\n7889 28551\n34712 78311\n3480 31177\n62605 68282\n55789 98718\n14230 50094\n1403 71872\n13800 42358\n31526 74852\n23083 62726\n61968 80764\n8372 36338\n74715 91247\n2587 68835\n5023 47122\n78440 80615\n29689 30591\n48257 64800\n2790 67476\n7695 35600\n32369 71683\n52670 90359\n27850 31106\n20785 45214\n16054 62149\n68798 78364\n8619 94147\n26507 98212\n5475 97412\n29749 36950\n60387 74054\n43652 48444\n35929 74719\n21611 56050\n77084 80735\n45841 62044\n31538 67957\n19815 60028\n15503 48893\n81520 98835\n61836 94004\n18429 61013\n74124 87880\n20705 69255\n40654 87350\n47643 48517\n62601 74542\n35565 41775\n18217 85478\n56857 70526\n63610 98273\n23626 69149\n74473 77771\n1669 23178\n12700 74023\n29264 69666\n17415 85869\n4085 99882\n19556 60212\n37675 67995\n48891 74587\n39157 59131\n25071 57547\n52667 59795\n15079 53947\n57377 98398\n35885 70332\n12800 99449\n82896 98394\n74489 79760\n23455 77866\n91214 98131\n69744 90943\n27573 92611\n29508 52994\n74189 78304\n31172 72233\n8582 23777\n34872 87430\n9526 53172\n26277 92462\n36624 85623\n10500 66725\n77725 88509\n83746 87327\n59802 62601\n17047 65663\n24741 86641\n26949 71008\n18808 62102\n73534 84602\n54610 55343\n56016 82297\n61688 62361\n16727 22596\n76159 82683\n14280 81854\n38941 87872\n52939 87039\n31782 35543\n65927 72860\n48285 87291\n40824 64406\n37505 90546\n45730 78858\n21481 88558\n11338 32065\n39189 61499\n19131 26689\n91504 91682\n25352 31529\n10100 31588\n24635 58815\n32719 87308\n41521 68069\n47443 97186\n1733 48881\n27910 73426\n71929 78745\n77863 95794\n8736 29772\n36922 38733\n21575 30556\n13139 84665\n76015 89458\n30116 31704\n81212 96093\n18035 19986\n3080 48394\n42667 94372\n43858 93453\n49810 83742\n37369 70410\n23478 72393\n19296 44389\n21227 60830\n50591 96418\n29658 84694\n31991 93609\n11452 18539\n48804 64636\n5251 28421\n62384 76756\n52951 53391\n25688 48365\n51343 70448\n13186 47183\n18708 96335\n18260 18589\n36435 73727\n42254 64410\n67729 74827\n87812 91194\n26383 91498\n28503 46384\n32059 94219\n7210 10553\n65100 81723\n32233 46402\n656 72512\n18147 61027\n3955 19410\n61216 64879\n73740 79504\n17918 57737\n66736 93150\n33476 55248\n19021 58744\n38691 95165\n78475 94742\n68469 88557\n44639 46344\n77322 92321\n41005 72243\n4771 34662\n1490 97483\n45698 77622\n19646 61252\n5186 77051\n29476 70734\n22628 56499\n43804 65439\n18440 33487\n26717 99522\n14118 70894\n19274 22416\n11561 56965\n14921 25142\n5025 70513\n32636 95840\n7596 58575\n46539 69195\n25621 73764\n54705 90105\n551 62554\n7857 61824\n35644 59036\n71367 78497\n64254 65842\n57294 84509\n14548 23167\n31194 69125\n51441 86878\n23789 65316\n14389 44088\n40299 51818\n7577 19366\n20693 44404\n57478 96158\n23822 26242\n62953 93237\n61061 97694\n12079 87294\n13519 26849\n67374 67833\n79960 87765\n12325 93647\n51392 82614\n9977 86953\n45703 70859\n25254 36136\n3863 61801\n56812 84179\n2746 16019\n1971 80774\n20655 60556\n3837 49641\n8463 67378\n14187 57364\n2427 72401\n2939 61788\n11432 14397\n8873 51437\n36219 72683\n32837 93627\n87150 99413\n3489 43338\n14566 19726\n35563 98635\n53048 93136\n91278 96226\n59492 71322\n83368 93528\n17320 77461\n4517 83960\n28312 81529\n29440 70285\n21905 49617\n20384 64622\n78959 86578\n63095 97728\n29013 55918\n69464 80538\n46845 62739\n4599 83407\n5207 52430\n11602 19649\n74284 97650\n17015 49824\n65447 77068\n62787 86820\n76495 78353\n28142 72252\n28683 45879\n3134 33771\n9950 31022\n13515 82610\n53841 56811\n25496 32677\n8633 22848\n11685 94752\n23975 45500\n21865 22884\n33524 88551\n12970 44314\n6288 62468\n72954 82969\n35817 88502\n15590 48271\n17158 90643\n29236 91424\n41002 62676\n55609 63885\n39085 99976\n61897 92226\n32079 90374\n59405 91324\n41070 98303\n41583 54810\n3283 17780\n12179 37993\n30953 31135\n54442 78157\n23525 37213\n16565 58919\n36097 42595\n30004 99167\n18161 63709\n32110 87454\n38166 62858\n70264 98121\n8881 12889\n86464 97174\n87461 99319\n14115 33581\n30782 90596\n9703 57336\n48143 90855\n40702 80777\n50426 89534\n7689 37775\n15199 99093\n6764 78083\n70379 88305\n56318 85131\n715 18446\n12354 61538\n56769 83287\n70350 78301\n63176 73060\n14100 40505\n49325 59673\n11796 27837\n7878 22303\n27896 58894\n49931 50898\n65380 73426\n10820 42711\n12814 41599\n16345 57191\n33062 86325\n34897 48322\n7009 75588\n63110 67057\n11500 86310\n3378 6553\n14476 80686\n65150 97014\n66902 70123\n42962 51048\n4558 6487\n60818 72598\n39970 47639\n10791 52596\n67447 87904\n5089 43264\n28096 60032\n27618 50260\n68678 79975\n47066 96225\n2125 81294\n71078 79873\n13263 95694\n23342 36362\n34362 55286\n37099 85728\n38615 71399\n6753 69126\n51607 82709\n64355 80949\n44842 75799\n30802 81118\n23593 99016\n52423 59098\n42795 92248\n10155 14931\n85514 92341\n14657 23334\n58192 64394\n22963 34106\n65842 91946\n11998 16478\n86821 97182\n26593 53744\n22453 91704\n11442 88438\n90742 98107\n12420 30555\n45681 98984\n30236 84552\n18146 44690\n41931 77259\n45751 78230\n3153 15728\n82258 91746\n14033 22127\n68516 74903\n36203 79333\n52228 77097\n14361 75387\n91075 97510\n48402 67580\n26273 42835\n46242 92018\n28730 77130\n54126 78338\n3379 3746\n64661 84472\n6437 24520\n3810 18010\n17086 27150\n43193 86369\n38570 43956\n302 74764\n1209 72514\n38611 97279\n19912 78910\n87723 91604\n74977 83883\n8603 68266\n2967 12818\n2119 61949\n32052 64283\n10447 71483\n75513 76410\n809 12280\n2237 24805\n16584 56388\n1395 24643\n63958 98976\n19102 84335\n2937 41604\n85582 97778\n24580 47940\n33369 75732\n55692 77999\n65030 96689\n1446 94078\n30714 72861\n389 82907\n11871 66212\n68772 97328\n71147 82636\n17118 93262\n47698 74989\n25580 59092\n275 83392\n49294 54866\n3495 37934\n25639 25899\n51933 74457\n60406 62226\n48486 96167\n47987 49099\n11229 42408\n63681 69137\n761 12616\n71653 82619\n47592 52493\n63144 90136\n45079 69709\n5283 15796\n1172 82839\n22672 81670\n5158 74559\n57740 93629\n52382 75317\n61318 78469\n28518 84264\n6413 91573\n25907 89893\n4919 82164\n31911 71026\n2043 37327\n54992 83095\n6055 15079\n31537 97021\n60819 61051\n59739 76192\n18994 26280\n2312 10894\n26928 52781\n33251 72427\n3326 26510\n6748 55585\n8104 60521\n12323 25107\n20419 60208\n40092 77495\n27429 77940\n67116 85083\n57483 80881\n35502 85519\n6940 89331\n3739 47284\n18699 83538\n67000 88745\n10740 90087\n6492 40259\n5909 34309\n62414 91885\n22569 27411\n47687 84771\n43394 91592\n42885 90143\n9855 73711\n30932 32310\n62509 83671\n84083 84751\n31400 58751\n17944 22328\n81808 97438\n35951 73364\n46020 88327\n17574 36894\n5126 96627\n22699 46163\n64221 74797\n30580 97939\n43690 76540\n4290 84799\n42844 72642\n50987 69518\n3312 43967\n20327 74564\n12542 80562\n43240 62959\n35386 50837\n40340 67131\n105 57723\n51487 92726\n6335 31054\n59942 92679\n6259 83488\n21434 44728\n16333 78930\n21969 59230\n53779 61105\n10995 28242\n27791 49301\n13672 52734\n11768 75957\n58970 66512\n14101 57719\n45431 74051\n43390 87848\n22576 69100\n30524 82219\n2006 43790\n9911 18084\n17615 73544\n68084 78429\n82590 86331\n14634 15234\n9189 68120\n13474 78251\n31618 61609\n1628 75173\n26458 44511\n36403 59921\n59809 72009\n58274 87960\n84560 93231\n19214 92494\n42103 47949\n37343 40018\n87189 89994\n16170 44759\n81069 89527\n1446 7843\n86482 97321\n27506 44792\n24961 92977\n5309 81626\n3407 28873\n1522 30493\n11171 18581\n771 74426\n24407 57796\n48484 86237\n69544 93827\n18156 29285\n47796 99242\n29887 64096\n1502 60718\n21320 47266\n54833 67192\n59948 63411\n53487 76089\n43964 73223\n10271 85079\n63226 96880\n73045 74085\n9815 11598\n21263 98199\n42890 92466\n5721 42549\n3800 57060\n45128 50586\n60223 86607\n69729 78859\n23919 95191\n37284 96459\n52708 90277\n30886 83514\n4220 75111\n73147 97893\n34664 98841\n12015 78355\n15479 81297\n33778 49975\n8417 35902\n22797 82341\n64367 95900\n17120 31485\n864 24023\n4188 97024\n6440 19544\n47295 64013\n31296 92515\n22843 39132\n70087 89683\n39976 59159\n74730 82598\n51982 74463\n65936 87001\n39876 41895\n71224 72434\n28384 83124\n4850 71521\n47235 96001\n13948 70997\n9261 92468\n28067 89363\n59727 91745\n14005 34694\n19579 96203\n61442 76234\n33524 36053\n29811 73682\n66588 83932\n34788 66995\n46171 72393\n14186 78788\n5093 55705\n57035 85353\n32896 57012\n20123 69834\n12154 95505\n21676 98019\n1128 48761\n8882 78649\n23509 55335\n5771 72846\n32646 34198\n38016 51143\n34321 95924\n74296 93038\n45551 86955\n52114 80920\n18517 88258\n1317 16142\n16315 47753\n52115 58767\n15789 19816\n25812 85455\n4897 32525\n89709 93254\n55402 98172\n46934 91524\n27873 48294\n54080 80016\n76065 87276\n62323 84243\n74699 75480\n72710 90715\n81731 94771\n27140 63912\n42079 70786\n21807 40659\n14959 97226\n29796 34035\n3734 4868\n2637 85146\n9893 87398\n48128 61296\n51131 76060\n9214 29230\n9331 29373\n2782 71695\n82726 97904\n13683 66255\n40886 68668\n15332 93684\n13012 50757\n26457 39905\n10206 56088\n36340 58708\n14009 91384\n829 82645\n20420 88434\n25169 37581\n65282 70967\n25935 99824\n5650 11379\n18629 58729\n35978 69845\n78172 94420\n24705 85196\n37766 74710\n11620 71419\n49695 88114\n59147 98791\n13805 19455\n11345 62028\n35068 91117\n7292 15858\n42738 70754\n26590 29391\n49424 63410\n1173 98033\n26582 88462\n52279 55639\n13062 39727\n18407 71542\n6481 94553\n12134 48756\n78053 79862\n18739 84618\n62646 79779\n9524 46256\n20977 33038\n57874 86254\n81633 88219\n21030 95266\n11786 45473\n56729 79415\n19879 87266\n57254 67258\n34232 51742\n50907 95860\n2076 76253\n13505 63988\n37959 40859\n22431 53908\n6480 78182\n77721 79070\n80179 97696\n42955 62591\n54485 75179\n26513 74234\n11855 82934\n31974 97820\n19816 23215\n48057 90554\n4168 48512\n8508 44806\n47330 91792\n10089 13019\n7700 35470\n47186 85619\n32291 39971\n72977 79121\n37608 39403\n83869 98685\n74042 80285\n7809 44943\n72939 80671\n54377 89261\n29189 89979\n28759 85722\n37126 57092\n9953 23398\n12605 45070\n66311 93606\n2073 67729\n60911 99432\n28370 52938\n65581 90902\n69190 69620\n26760 61043\n9319 31560\n38301 63849\n5792 8605\n23290 96555\n25247 73795\n7094 62714\n11875 34930\n33589 80994\n62048 88521\n21396 38781\n94710 96675\n61849 63919\n41178 67500\n3153 10801\n4943 77988\n34256 61383\n46537 98333\n34663 54112\n38899 99988\n19053 72298\n23481 90749\n67955 79313\n86697 89664\n17955 30699\n73727 74808\n33900 90065\n44943 98657\n22357 27760\n5292 42445\n48576 83310\n38019 66531\n32306 69182\n17170 60132\n13879 94618\n45575 78894\n6011 6945\n79316 99223\n37503 44013\n39013 67898\n33326 87131\n32110 80079\n35704 43076\n66975 96168\n594 54803\n2118 80375\n31714 37562\n3089 18719\n65230 79122\n4974 41258\n3164 19948\n2402 27754\n15029 34870\n56803 92612\n26267 97029\n55233 63217\n14351 88609\n25368 73424\n72541 86949\n8741 69794\n35563 44539\n12240 20570\n65892 72838\n33573 50602\n77682 88093\n36084 69643\n39369 39533\n33211 83582\n42667 97627\n86638 91891\n4832 44930\n64299 98082\n24655 78820\n12091 57639\n81150 87632\n22357 60752\n58980 72943\n43128 53112\n44583 56770\n7784 91635\n7647 36162\n12020 69654\n8168 66615\n39423 61568\n24290 83737\n45238 55506\n13010 21083\n39056 81190\n34690 44192\n8866 38717\n66402 74138\n20227 65388\n871 54405\n49487 64830\n20106 78199\n20818 79842\n24672 74971\n32353 43267\n64406 98691\n39250 99576\n2897 68314\n26311 73584\n45031 65895\n16401 98949\n33218 94630\n11944 67871\n31009 77961\n11728 34483\n61272 69057\n47281 70514\n10144 28514\n64233 65212\n53135 75061\n45564 47012\n7390 89236\n1607 24603\n46383 55079\n28483 86623\n34167 57484\n30559 65385\n83135 96732\n15319 83082\n69660 80215\n52746 71724\n37531 67820\n47770 85735\n9543 94909\n42408 71164\n8020 67725\n44573 62752\n11319 30579\n50180 75308\n49952 61490\n56595 64700\n54228 57119\n45583 75413\n29384 91317\n3728 27034\n84450 86284\n28051 41137\n3130 87460\n24800 82054\n4277 53518\n7730 11058\n60303 70191\n3522 70531\n9138 17880\n56400 83939\n26552 40300\n33025 41940\n55165 75526\n40374 55822\n63683 86718\n28568 93765\n4079 90330\n10066 83557\n6885 88795\n16185 41722\n23016 39941\n36773 52966\n24779 85221\n46536 71789\n287 22138\n70037 95651\n658 21021\n3135 47727\n3711 11166\n8149 9825\n6922 88364\n8276 32168\n16428 38143\n54150 57976\n31862 38956\n66127 98216\n8133 97297\n73332 94114\n8480 89268\n13981 23849\n2033 35801\n13146 82363\n31166 31742\n2055 15896\n51088 81591\n85212 88953\n26800 43543\n517 59062\n19774 27572\n42870 60624\n18979 97456\n2824 71569\n63162 63236\n39862 64359\n43784 89570\n43638 79592\n56550 95200\n22353 58977\n18778 99440\n42290 81460\n39787 44400\n76730 97425\n1101 39988\n1284 95766\n33715 84534\n27636 83053\n4021 40208\n3079 14889\n51096 69753\n33527 95321\n25314 87053\n75297 78454\n13290 57855\n10303 76446\n63792 90520\n68001 94745\n33091 83662\n71195 95322\n40241 51449\n7263 13183\n165 69242\n13203 59742\n22426 29793\n73879 96097\n2796 70500\n27303 56050\n34 11052\n1936 4075\n2960 81011\n20942 83844\n50833 80373\n34620 92653\n37062 54748\n13051 44384\n24039 99088\n17166 81789\n75988 95413\n13468 97428\n12179 62167\n46613 93358\n41183 76366\n43645 71984\n5489 22674\n54277 66195\n37757 64902\n5492 9662\n51593 63745\n13371 71411\n44641 50248\n43520 85310\n32580 86491\n68266 91759\n9459 69727\n23572 32826\n61595 92662\n79805 81277\n28703 52091\n27398 58025\n18311 89906\n28010 80315\n13535 73298\n75141 93924\n4556 65704\n25668 79970\n9215 29658\n703 34038\n58571 74208\n32056 78279\n14923 20119\n12455 80002\n7112 39226\n19985 72571\n1239 56447\n38291 84371\n55370 58481\n66316 78531\n56491 63395\n48191 91247\n3987 45753\n41515 42939\n11994 74328\n65932 80801\n85810 91923\n54341 81319\n29447 44535\n66929 75938\n12873 41187\n31002 31965\n48379 71074\n38850 44739\n55080 85692\n24798 97137\n35242 59831\n16960 51893\n66975 89333\n12770 68387\n3933 59336\n44612 57816\n41345 46381\n81018 88419\n1781 57097\n22887 90365\n2452 22132\n32249 48940\n68596 89219\n82709 97586\n60494 97496\n28482 73336\n2229 79695\n41472 66555\n36018 37696\n93050 98973\n46837 93544\n8386 98378\n75223 98913\n47491 64107\n14425 95316\n9978 15028\n23265 29875\n2945 22293\n14911 18301\n68731 87709\n42948 92398\n41022 89366\n23493 86217\n33002 50882\n22098 46922\n48046 79140\n26189 91008\n15749 20341\n6868 76131\n40270 94690\n20346 78865\n20817 30167\n26574 41503\n43317 83950\n13317 81483\n23204 88578\n6526 53352\n33406 54640\n76878 79039\n24911 79487\n2470 54915\n7819 80498\n32405 76807\n2745 96175\n50577 59478\n56964 67288\n58690 92541\n80552 87779\n17316 23713\n24196 74183\n19762 46957\n16123 50348\n70448 87322\n82674 93833\n46426 85184\n1223 42447\n43555 71915\n51608 73786\n12892 51234\n43646 48953\n9752 29847\n86556 87577\n58123 91898\n35138 38951\n11734 32403\n47415 64361\n26066 36853\n8231 44164\n57530 86218\n4188 84387\n33628 63164\n60186 93339\n45768 58149\n18515 49243\n56431 86591\n18196 90808\n6747 65619\n9387 61718\n7616 80188\n93034 96773\n40368 72247\n15019 99950\n4249 40587\n13320 75789\n3498 81905\n24648 92911\n3289 84086\n20024 27403\n53328 96919\n961 26073\n49236 85060\n1057 95014\n23727 26136\n42706 50253\n26189 45118\n68065 70821\n295 5175\n66999 72261\n34541 78608\n52792 96167\n11788 90686\n33248 42512\n7962 67742\n34119 65769\n34708 43036\n4986 35883\n30617 73506\n6664 56006\n27426 57545\n37240 80276\n50438 78064\n1377 3256\n13731 19316\n42846 88729\n22472 76116\n19186 21400\n29714 40804\n36388 73008\n52569 68944\n20528 63805\n11796 66974\n40124 85475\n10014 23451\n197 94822\n46867 96055\n59269 87993\n21011 41132\n31689 58516\n59635 94470\n61858 62283\n29993 80308\n8786 45431\n23508 49827\n7432 59094\n22409 27514\n5426 49436\n68262 88155\n2394 81265\n62650 72080\n20141 67957\n45805 59010\n56098 70657\n66035 93482\n37378 69815\n57880 76083\n52636 66113\n42464 52864\n17088 76874\n16510 19739\n58372 86862\n10900 91256\n11552 91319\n14709 45805\n58377 58706\n8244 14208\n198 83645\n69127 96723\n32069 68023\n13567 98104\n34247 70489\n4366 88056\n1637 49969\n35536 37161\n38671 75552\n46657 82249\n62404 74888\n78019 87936\n30627 88672\n78045 81564\n5449 96597\n12004 15668\n38923 57531\n30955 72704\n36709 43274\n16041 22861\n38863 99493\n19885 48677\n40944 73889\n57892 87547\n29994 99987\n78973 84609\n2969 63525\n9462 78952\n24575 91046\n90573 92696\n51062 86954\n73815 90291\n256 2980\n40422 60124\n71863 92166\n23771 32250\n46169 71729\n71386 73393\n3326 65017\n44851 90064\n50310 78292\n70043 96002\n17496 65732\n36519 65606\n3474 14092\n10770 14382\n23291 88701\n50510 96609\n14600 40099\n67883 85117\n75089 92219\n6401 76059\n41329 79818\n25691 94120\n4686 60938\n9926 87185\n39161 41005\n58552 62000\n7010 96557\n84011 92533\n78279 92610\n21143 47014\n4836 5908\n35311 93558\n56849 87628\n40699 88190\n26141 58799\n34358 60091\n4012 41160\n40536 91846\n24616 92468\n5823 73908\n15990 58659\n15314 27230\n4854 89083\n14671 76347\n50489 85757\n81817 85120\n16177 97241\n29401 33301\n10805 32466\n32462 96340\n76507 92082\n5112 40130\n38579 68561\n38900 39872\n18274 48870\n32177 68382\n67901 98268\n72562 88201\n65042 82823\n15393 80689\n4324 76671\n41081 77107\n8545 35540\n30176 52877\n3898 48028\n13222 91916\n61410 75822\n48307 81522\n26786 92741\n20477 43144\n45046 98150\n11152 65339\n22651 80384\n4721 47640\n12699 79347\n23259 68994\n34336 49068\n26136 89180\n72018 82361\n34139 68964\n24038 34896\n24024 99213\n68116 79543\n1292 12855\n77630 83397\n37798 48552\n84080 95222\n42308 61381\n43281 99128\n12273 67403\n74552 82135\n23916 78487\n36025 41523\n4829 40336\n49895 89936\n33040 53180\n15286 51941\n61889 74501\n15040 18039\n10651 63072\n8562 92438\n23627 47303\n1237 66188\n24952 81754\n11939 99833\n9653 17376\n62341 79074\n34966 98062\n71719 84848\n29764 81746\n13219 56219\n63235 93119\n21903 98649\n6656 27723\n31780 64274\n73232 97206\n45442 49117\n61916 88226\n91817 98647\n3420 32085\n8502 25059\n24666 72648\n64781 69719\n7363 61037\n15668 65178\n125 65781\n27782 90356\n18799 94485\n54890 64804\n62895 87383\n10007 23209\n22460 86723\n63374 87402\n43700 55569\n3131 4185\n14926 39222\n21313 49360\n79406 84044\n52676 80900\n15942 19641\n4538 99515\n28278 89600\n75390 95885\n58578 67180\n92590 99630\n270 82204\n9769 82829\n18816 72577\n29639 40449\n4694 73702\n39771 43228\n38422 73987\n17987 96447\n91730 94797\n29203 49453\n80280 85001\n25795 95142\n9440 51356\n56261 58309\n29387 80246\n15345 30726\n29987 42405\n85876 88862\n31824 97793\n31300 97825\n6468 84215\n31612 54145\n91923 96699\n24116 91870\n24789 45839\n15338 60732\n50302 52870\n75205 76665\n33472 51933\n2778 54875\n5106 91769\n57617 59398\n2675 74154\n32198 47240\n38576 77644\n11872 63629\n66809 86308\n11686 56087\n45221 51325\n54083 74311\n27037 57741\n63378 91047\n30205 86475\n32251 64283\n13163 88261\n34470 52075\n90206 91867\n8669 17245\n37310 98091\n39226 74230\n8195 55616\n610 16002\n30383 91914\n78774 91615\n3035 79376\n10243 40195\n22727 76043\n41175 60878\n17899 86008\n2614 95033\n38319 86563\n55122 76705\n45786 95748\n27358 45172\n40524 67543\n13312 57323\n46136 54499\n28181 71677\n4960 82901\n15428 92063\n14656 85642\n17092 81207\n50576 55063\n26966 39990\n14588 84437\n13637 84216\n6608 61928\n25790 94382\n11648 83838\n12391 80398\n35390 59933\n56061 99538\n8384 43283\n43950 78370\n91748 97344\n78131 86131\n51114 55589\n40354 88410\n77754 89246\n29973 36837\n61391 70286\n57472 87486\n40773 85681\n13102 88918\n33888 62641\n10105 72514\n39827 73175\n6853 6968\n76609 91156\n27055 50717\n1930 99384\n69029 86706\n14815 94032\n3083 25479\n8849 30317\n35162 96487\n19338 45452\n57604 66209\n49936 66405\n5324 64008\n69361 89726\n40750 56237\n69954 92803\n26535 34084\n86655 88617\n3702 55039\n47250 55572\n27824 48259\n57954 71577\n78425 95961\n10303 67886\n598 69213\n61909 65332\n55417 96508\n41172 67025\n37848 66401\n22800 44283\n47222 71655\n37918 75565\n11213 82414\n11830 32475\n10827 52353\n42422 73474\n91042 94967\n11740 27453\n47373 76623\n74535 83017\n23989 55270\n72792 86307\n39697 86067\n56979 93883\n34558 48568\n1852 49110\n5566 84401\n63722 81766\n24159 27124\n48642 55461\n20024 82885\n8642 9088\n21487 38261\n24981 39191\n58137 92260\n47100 77278\n51357 52496\n1255 90491\n77492 91766\n1064 16499\n19508 46115\n42601 94559\n20115 81696\n74898 82877\n38790 92232\n5221 37059\n47789 48018\n52145 68330\n12514 39721\n39161 46543\n13860 51767\n38161 78881\n14367 16134\n51661 81110\n26102 37708\n996 94797\n49535 53372\n16624 92714\n7035 36530\n1959 24033\n80789 84515\n45750 50915\n9826 56142\n61539 98955\n15041 49839\n31357 85639\n58930 86951\n27062 46908\n9351 49039\n13742 16609\n14404 94167\n12769 54583\n20227 97651\n9073 38015\n70427 98887\n16372 97786\n15917 56718\n63066 69786\n68 44642\n62523 97728\n45301 86531\n24533 36040\n67371 73385\n55671 75446\n2914 54065\n24075 64515\n7771 95733\n35450 96156\n72871 86261\n74961 98314\n65795 94152\n84882 97145\n27942 68285\n72318 95833\n4244 10039\n30685 76860\n45825 98061\n61887 63950\n39194 95296\n35348 40749\n62864 64173\n16587 25789\n4071 97268\n25780 82311\n14731 28468\n11467 73009\n19982 30040\n25271 55588\n5334 29073\n61989 74474\n58720 60749\n5722 74283\n27851 95772\n21222 80955\n64165 97611\n43045 74790\n5132 47048\n51224 60174\n14898 20203\n7451 36695\n27661 99270\n56750 69281\n233 90654\n18534 35299\n3082 72584\n5722 94944\n42610 84673\n64456 73700\n60503 98560\n70168 71839\n9230 56934\n1157 39261\n5336 79575\n90288 97055\n22918 72592\n33592 34553\n16502 48264\n9125 73029\n72654 77752\n16376 30371\n38637 44096\n2010 93403\n8991 53452\n41195 70736\n22205 59229\n66559 73620\n4219 22739\n23380 53614\n52365 84749\n82668 90481\n13161 37749\n48723 84919\n22468 70888\n14588 17547\n7182 83893\n51890 98524\n11082 16578\n27542 45658\n3131 8517\n39937 93703\n38571 64630\n8149 61151\n73952 89513\n78774 85947\n50145 75399\n45104 70643\n17974 59496\n17691 34503\n53387 98254\n66668 69908\n78693 92848\n11411 47099\n3383 90798\n42938 80603\n232 47855\n44473 75870\n28709 79650\n36445 78119\n22020 90258\n5352 70590\n73569 81043\n22799 35233\n971 63531\n55601 70604\n35316 83508\n12243 71907\n11112 87166\n3179 24634\n3525 92400\n18633 74107\n83718 87146\n23055 50454\n30489 89028\n46413 77412\n67973 88320\n68482 86804\n69262 87647\n25955 42462\n26948 30764\n27196 37506\n41492 71597\n32750 64950\n13578 99842\n81383 83280\n26981 84226\n52518 72541\n54109 67234\n46294 58188\n22071 95457\n9847 69726\n84418 85402\n80120 90218\n27644 73254\n4410 68979\n96052 96538\n34910 97720\n49268 89838\n14361 33619\n1450 89488\n1174 38052\n18453 24842\n37326 41865\n17943 70207\n77165 86044\n37928 74429\n54799 68883\n2245 64982\n62542 79486\n1614 78787\n7248 65888\n50200 64632\n27876 67573\n8001 19844\n22080 33898\n58236 81115\n73044 78062\n57204 72671\n5783 8229\n23473 72633\n33684 45101\n31810 40849\n8069 72522\n11523 70584\n18895 59565\n17541 38687\n61052 77653\n35079 36749\n82106 98234\n8652 54201\n36914 48624\n20083 78862\n18324 95456\n39170 64855\n8901 47656\n78124 97671\n77248 98045\n45891 75333\n36683 92319\n19906 54152\n19661 92855\n19711 30383\n25274 81346\n48080 98302\n16843 86617\n26157 86175\n18314 42887\n9097 66091\n48230 62288\n37164 92016\n87305 94917\n1403 17563\n38506 91022\n148 34825\n4456 32342\n54911 79310\n10379 98440\n33435 96395\n37620 88657\n23076 67384\n39505 54609\n38498 46715\n33605 97163\n20412 90682\n57885 70358\n23200 50264\n6983 36606\n50047 75105\n41956 56880\n26705 85797\n66115 80898\n42789 78628\n32725 76871\n7895 37823\n44735 92230\n8279 77353\n13266 97177\n10381 89513\n72970 98403\n39235 80264\n9663 82868\n28534 29592\n58358 58383\n50490 64568\n3487 96757\n14831 43844\n30742 80332\n42583 62440\n3943 50842\n41658 47498\n66100 79598\n70996 90648\n12146 98610\n20274 36007\n21322 24796\n82840 84110\n76328 97110\n54835 67946\n24726 88567\n51690 65033\n4881 49618\n37819 66996\n58762 89508\n41194 82740\n42534 86646\n27918 28887\n26594 94936\n35046 42651\n36628 73225\n28167 88254\n27181 95785\n18366 98030\n42669 78721\n49177 89526\n5362 64843\n16734 84446\n48149 66280\n9672 17054\n14062 69630\n15304 98676\n4392 30327\n39909 42063\n36427 95378\n26840 93777\n32959 38567\n51427 82371\n30771 52420\n25721 47515\n47299 61123\n73763 98499\n59681 70729\n50045 87385\n27812 93849\n16871 48422\n26134 27555\n36050 37253\n57102 97003\n62479 63001\n24950 74312\n11785 18185\n62564 78458\n45204 86484\n96787 98910\n16064 87822\n57682 88768\n20149 67013\n15281 70307\n38808 39784\n67947 82611\n2601 4439\n62697 89877\n1552 97707\n5305 53053\n38165 42994\n3658 10064\n17599 73659\n1864 5766\n992 4059\n19628 53174\n17900 46854\n25590 84824\n236 58382\n60979 80008\n14164 42215\n18235 28197\n6507 50172\n52167 88625\n53024 85882\n38156 96623\n16115 68384\n12206 60777\n40203 94636\n44453 52514\n23066 25366\n76092 95369\n3030 28769\n25636 54960\n34873 62274\n68158 87401\n71078 97153\n623 94358\n20665 29636\n23062 45732\n16687 61006\n18365 47788\n36643 88890\n25165 92318\n32968 85058\n8603 73449\n42678 43782\n50689 74240\n47233 94967\n6051 58437\n7699 36262\n27638 29738\n45835 75103\n68405 96168\n585 21660\n20521 89168\n5264 78937\n42880 59301\n42065 63805\n31601 75916\n4773 6444\n35096 96859\n31524 91333\n14860 51841\n29312 31677\n44634 97890\n16705 91410\n37403 53173\n11797 58481\n79566 89465\n224 79707\n4734 64138\n24283 59444\n6143 21703\n53710 66859\n15170 91076\n3462 37195\n69469 82641\n20616 66702\n39258 65538\n20054 35394\n52088 53735\n50368 98918\n46334 86869\n41798 82797\n88768 96677\n24064 34120\n18184 45939\n33169 73937\n3003 56150\n19970 37310\n55828 60271\n14931 36643\n9012 73389\n2823 99094\n40978 98638\n62623 63766\n38584 80939\n23659 59703\n51972 82085\n9403 54889\n7069 98530\n65418 93117\n74153 83638\n31405 33889\n57347 96016\n19542 64182\n58177 96404\n29383 81509\n1042 70005\n32475 82513\n33270 80066\n35084 77163\n56856 77884\n6017 97840\n2208 3047\n32838 60803\n28246 58745\n18969 78550\n5926 66174\n19563 31273\n57362 89850\n21617 42171\n46731 68896\n8206 90901\n82595 91347\n51620 63599\n83982 95948\n625 62399\n29964 99753\n14082 62022\n62910 69868\n4395 33574\n68165 77461\n74430 90216\n56081 86701\n23019 73426\n21079 66323\n62111 93831\n41602 47124\n28096 81288\n36558 38897\n23804 33476\n47228 87239\n52217 72415\n75805 82806\n63462 78089\n50182 85732\n18050 76171\n11384 77649\n53473 63922\n37705 52995\n43819 88834\n8661 29614\n73791 81111\n40282 94363\n10342 19144\n6249 61097\n22759 26398\n39217 85514\n23989 44650\n13163 65186\n61487 74404\n78993 88380\n9385 57732\n24574 96395\n24618 50763\n38605 74468\n1985 10037\n1873 4698\n17922 64599\n44426 50390\n20482 99454\n11103 62512\n13017 56673\n24073 33431\n2051 81588\n3116 84432\n83341 87671\n19578 96189\n29627 82047\n59541 60619\n11137 74267\n23558 83952\n49444 84794\n42891 54481\n64426 93559\n6498 88649\n71561 88290\n79284 86479\n37459 85894\n2931 25198\n47323 90212\n45208 52110\n55024 61153\n1777 68073\n38468 44235\n44275 72292\n4974 29349\n38145 54622\n11470 42002\n44008 51329\n10192 82994\n21158 33023\n59727 72849\n97566 98204\n38106 88599\n46986 84239\n2706 99949\n3253 89544\n55437 94713\n836 10938\n31343 88763\n74792 86354\n4084 63196\n54732 62390\n67957 81511\n11322 51090\n39305 96042\n13801 51307\n83907 94589\n2164 60149\n33775 84956\n22456 58430\n7924 95331\n21416 80540\n75763 98100\n43935 81381\n67770 71974\n37989 65728\n49413 74304\n24918 71413\n19150 20356\n83828 91302\n30858 98748\n55391 99573\n73766 83038\n1726 76366\n59128 75224\n48782 67368\n1468 73752\n55680 78133\n23637 77245\n37276 37727\n9901 47281\n13804 66783\n18791 71332\n18407 95601\n12520 20182\n3800 23202\n5636 20471\n1110 18768\n4216 80238\n16211 64446\n35787 73153\n41295 53867\n17518 63375\n2360 10928\n16615 44389\n69383 98852\n29140 81295\n1195 16701\n8270 67551\n12501 54272\n11562 49956\n39601 43407\n76399 79053\n62898 98438\n63427 75486\n888 65095\n68704 68897\n17239 23304\n1282 45267\n26522 36340\n13186 79973\n42442 91102\n51031 52892\n43441 55546\n90789 92771\n7137 65640\n46558 89521\n73769 99502\n29915 61441\n59527 84492\n4908 10187\n20353 96832\n40717 63274\n31697 61908\n21149 91590\n5278 84790\n44757 83903\n27658 85347\n38200 46797\n815 2824\n27465 41984\n32955 56474\n608 46391\n2572 10585\n32627 93836\n14562 99504\n61178 88292\n56831 62686\n9878 41425\n7278 31733\n69696 91425\n33299 63371\n26587 70335\n37557 40982\n3561 61171\n51714 59925\n12818 42792\n22597 56926\n78343 83091\n2228 34916\n33101 69097\n83775 96688\n12534 82210\n16120 57927\n19188 40544\n52453 91778\n4004 41348\n59399 69764\n2571 20556\n54271 97940\n22162 50107\n1413 77301\n50632 80053\n5461 21451\n71144 77893\n34775 71097\n15861 54522\n15980 86869\n65574 88030\n58246 61795\n30382 94948\n2837 32820\n14647 46081\n11144 38675\n13087 58713\n41402 97916\n41385 89427\n80340 90971\n48868 99167\n24394 41076\n35515 96215\n39198 39396\n57929 82363\n62460 94567\n25361 66445\n16508 67531\n3886 60038\n9103 39011\n45021 87119\n4493 76235\n48336 79485\n29942 34345\n17818 61323\n33392 41047\n58730 87032\n35750 96151\n9659 85053\n28256 35343\n13453 81791\n37909 76050\n27948 76112\n60764 73873\n749 61188\n67343 95141\n66341 89773\n20783 45532\n14855 41747\n5858 11127\n46482 77525\n68555 87205\n5243 89716\n49424 81816\n49854 75994\n17090 40323\n2077 37311\n41773 50629\n22077 22175\n88278 99305\n4972 13170\n615 39821\n46759 51456\n43885 69599\n28292 96318\n20505 21103\n34460 66601\n34797 86315\n30816 90217\n35865 43557\n33732 75605\n63834 83657\n55078 56301\n9390 21449\n62438 81448\n52933 82408\n10353 75870\n61088 82330\n33322 67879\n67856 92618\n70961 73437\n16662 88847\n42514 88321\n52584 76679\n3099 36405\n45206 84111\n12388 60378\n20482 54496\n22761 84206\n25763 87411\n41038 79431\n49495 72614\n25167 51421\n52100 85298\n85437 86846\n69309 83495\n19829 62556\n45061 58945\n8719 77816\n70526 93457\n20867 75318\n30461 96192\n74627 87816\n12316 24201\n67109 80827\n27973 41216\n39523 78127\n63579 97414\n28759 40452\n85352 87051\n59217 99760\n59693 90326\n78885 95784\n69293 98764\n58475 61849\n42847 74724\n1886 67221\n23238 66482\n68710 75522\n32514 48483\n15932 58523\n21173 58465\n10249 58495\n63342 74508\n53937 74798\n60248 78090\n81403 98695\n2525 80591\n20009 53201\n11934 22200\n37661 52448\n40222 91476\n8934 56611\n8097 32419\n2934 12019\n26903 62046\n28104 85369\n24826 58078\n54442 64525\n37748 49702\n69117 97214\n5042 78086\n90806 91960\n57237 97079\n24030 63705\n2146 98510\n29601 62985\n41266 73837\n30648 62366\n23158 74870\n23610 24331\n32234 50320\n33574 35909\n29931 77285\n64725 94418\n30601 52237\n64056 69333\n15186 76638\n87445 93876\n76947 90846\n38585 96601\n22915 89866\n19605 42613\n3047 13325\n53513 57379\n23987 69885\n20927 28992\n2705 22162\n5848 35755\n3058 63853\n4284 78069\n43161 67357\n1908 18864\n58091 59746\n43066 56884\n91230 92765\n61526 77618\n27490 37440\n51668 62849\n16743 93747\n28901 37405\n32586 44183\n18207 19915\n9488 79096\n47591 56418\n64611 95770\n56536 58918\n21953 65048\n47354 66147\n27164 31157\n76643 81001\n85938 93342\n26433 80399\n6069 77301\n36866 47921\n4274 46943\n17868 19525\n6430 91394\n63972 84561\n3186 63406\n35527 79992\n21739 85788\n40235 80088\n10087 37277\n25302 35299\n63392 94289\n40591 77261\n14043 21088\n5321 90954\n1103 29521\n18792 28421\n45249 97733\n18416 80199\n36296 63619\n74243 77921\n14901 70140\n4663 68800\n58925 89439\n3650 73464\n68575 85186\n22318 99527\n33114 88798\n34941 68693\n2709 4952\n15146 37247\n52768 82202\n36682 81776\n27835 41094\n34257 53689\n8999 20770\n41040 97726\n15900 61120\n18664 55805\n34090 93235\n6526 52091\n69405 84741\n450 50380\n44531 44916\n6627 75684\n23797 47111\n29475 78142\n6045 61634\n22373 80424\n77636 82022\n32962 50521\n29598 32944\n57620 67676\n26177 44352\n12662 17333\n76698 88173\n70698 98899\n59416 70369\n12360 84289\n5660 7361\n34201 69286\n75075 91626\n801 99105\n54453 87977\n38283 50713\n53667 57667\n39807 61264\n77005 89177\n17366 59503\n15198 87975\n15605 87035\n52671 78038\n17643 65262\n16000 71891\n26384 29265\n13705 55787\n18840 59310\n1389 90995\n37157 53400\n77288 96195\n46472 69478\n15529 49457\n12673 59159\n13336 39488\n32270 38952\n5493 16058\n2998 17320\n253 63697\n12224 55141\n2786 64766\n14144 60923\n84452 96061\n70424 76388\n11745 96905\n61595 97580\n6419 34269\n3933 95330\n59080 85680\n9278 43365\n83903 93630\n5849 65351\n62575 66912\n7449 56020\n83910 86617\n21213 88168\n17660 82284\n8440 84985\n374 8758\n21343 48196\n13276 78314\n38733 62754\n16153 27538\n20247 70258\n27459 71440\n37997 41342\n15274 32784\n17405 84496\n80109 97237\n99372 99728\n2427 53706\n13111 80931\n21910 33808\n88737 95905\n28308 65784\n30047 30660\n28410 80882\n47333 68161\n5920 7198\n32526 70681\n17497 59910\n46994 60777\n45975 55634\n36678 44356\n47249 75411\n36844 68768\n54956 56278\n800 52368\n34846 41712\n9112 77848\n22414 66605\n30890 54055\n32461 81342\n5819 90436\n80296 95210\n33311 83578\n21699 42776\n3940 71779\n28188 84157\n55795 86542\n41779 66748\n4434 51043\n68357 99343\n7113 17131\n14395 96998\n70419 79268\n154 88281\n10075 21850\n33913 39042\n15807 69604\n11517 49598\n11462 13003\n6975 65158\n3474 65853\n23634 82376\n5792 40947\n21760 58457\n16736 38263\n69559 95418\n41804 72181\n33476 86254\n5806 11793\n3549 53715\n29534 73674\n34971 95656\n29994 91748\n21085 86308\n6608 31765\n41818 45527\n38216 77231\n5047 76833\n373 35844\n29677 70104\n4162 60990\n32603 81532\n77087 79247\n26604 95453\n30620 98271\n52184 95367\n48594 78896\n15890 68607\n28778 69920\n33188 47791\n75738 97717\n66248 83383\n25266 73882\n78087 78989\n80640 94608\n27700 82372\n40386 51003\n1440 96416\n17822 90793\n4419 83336\n33118 41497\n62540 76100\n25384 81284\n9642 58412\n21139 78305\n762 46330\n10385 39838\n6228 96141\n1677 13242\n76635 93842\n47653 49061\n34681 41591\n5253 54521\n40216 57189\n1687 89811\n65819 87070\n50013 79499\n75629 83654\n22481 73717\n57675 82752\n18125 98340\n16457 61423\n26531 53037\n4991 67832\n78645 80286\n25847 95511\n7387 75508\n67549 83610\n18667 80066\n39699 48971\n74062 86340\n29408 63937\n15205 92756\n11369 77258\n1699 39071\n27176 95609\n29274 66678\n72012 97258\n11285 77607\n36602 80739\n81278 84438\n2382 98796\n22612 39837\n54598 66026\n90399 91218\n9916 72003\n4730 22433\n69700 93898\n25532 76806\n21227 49781\n58290 75356\n2177 19627\n85318 91856\n58504 67276\n10321 71032\n35696 38904\n87379 98692\n2553 79506\n8387 23121\n27051 62124\n8362 28276\n7299 17203\n48886 78429\n63070 94300\n43349 63082\n8467 59210\n18366 86426\n9445 97498\n47932 59352\n20146 46586\n54928 64343\n79282 97656\n456 27547\n11460 63178\n15924 23293\n5233 7364\n23291 65900\n3421 95601\n37429 63506\n33701 60626\n380 90116\n9588 46341\n9277 60183\n49132 98330\n51632 63104\n10832 19338\n33905 49209\n1582 64595\n56628 66627\n9493 80153\n60554 72802\n10059 69772\n64807 70689\n66241 96038\n53179 70032\n62458 71823\n9582 84545\n60471 76141\n3856 84816\n2855 85492\n24889 79801\n11080 22876\n20428 38013\n38298 47408\n16395 62792\n35611 50368\n4065 29331\n34612 69245\n27259 91901\n37847 69534\n42761 45734\n34456 57539\n14643 70534\n44131 63664\n5833 95632\n56842 82778\n1774 88848\n53248 93991\n42022 48725\n37321 39453\n4238 36597\n4737 35343\n6341 83275\n37820 40210\n77265 81443\n2198 91587\n56908 86063\n23798 52075\n13106 73974\n25359 51486\n24042 54505\n44775 62956\n6103 47186\n3506 35740\n58588 76846\n72287 82302\n93710 94017\n44792 59171\n45161 81513\n15671 36599\n64245 84120\n65384 73207\n28465 79566\n13208 77358\n22303 36089\n45988 84628\n24680 31117\n28637 32959\n13463 27324\n463 84107\n43938 65342\n35591 89072\n59856 62395\n49632 58610\n5735 64876\n28091 83829\n68984 75833\n45824 74831\n96198 97932\n76151 95516\n24029 66854\n37033 97885\n9739 33916\n33719 98341\n3958 48149\n65821 97604\n12488 76423\n21500 64204\n2944 23831\n1863 77994\n34552 62655\n47066 51084\n74782 98985\n51095 96567\n80021 92036\n42666 75319\n17243 73116\n229 51200\n47939 53455\n45670 62325\n39765 47574\n21320 27249\n1029 30138\n43304 44842\n24270 73106\n45615 90054\n17282 48192\n9168 94927\n27050 53601\n14973 44869\n20958 91198\n92329 95303\n38988 92750\n2427 55505\n46115 58184\n34686 93338\n30320 46076\n43895 71014\n59271 82700\n86533 88790\n33275 89094\n27652 96668\n9226 60039\n58517 99883\n2889 65240\n43319 81167\n72100 96477\n55262 75311\n3571 25204\n66236 89111\n4466 67477\n36607 61274\n256 45982\n16730 91860\n87841 93261\n6371 59757\n4200 67931\n82032 87337\n12091 17435\n75003 97499\n421 33123\n6558 47542\n20720 53964\n26631 94842\n69553 91499\n18524 33549\n18577 91555\n16810 84686\n29282 86785\n87428 91405\n68558 78064\n25214 94986\n30643 58227\n67592 93485\n17703 74603\n30997 76186\n12059 60858\n37437 69279\n78442 88023\n65309 80194\n81142 96467\n13154 66165\n25518 86510\n12277 22919\n40944 79139\n32761 67569\n9712 47404\n7626 10815\n24358 86320\n70656 92055\n6452 43890\n14899 97429\n30848 62166\n52474 95767\n2675 31725\n87793 93645\n90268 94003\n28104 41261\n35309 99555\n59366 71213\n31506 94606\n44701 82044\n28888 93365\n59522 84622\n5566 14884\n62545 98589\n84088 99860\n46069 57554\n42217 56479\n74662 84218\n32700 95238\n66210 77885\n39963 50574\n18274 44322\n26633 98250\n8176 75629\n50068 78411\n24640 35601\n26193 37013\n68649 81224\n34280 49361\n64761 79768\n41168 64089\n51585 56844\n48325 86009\n15893 21085\n32732 80454\n61733 79016\n75864 86275\n23772 37348\n28782 82991\n17580 71086\n22386 62705\n1465 98848\n56401 57548\n70818 76925\n80781 94385\n32607 65521\n52062 92851\n84508 93991\n18791 82535\n47946 82547\n12032 63245\n5187 30363\n49276 78003\n44834 80422\n25986 79492\n10042 33899\n40813 53174\n28860 52175\n48034 58403\n69862 98300\n78444 94839\n63787 94594\n4339 8529\n17026 75970\n90388 96660\n39136 49824\n11630 12209\n47288 90998\n7009 90436\n68124 86922\n11672 91205\n5974 18400\n8842 29623\n9142 65052\n40053 63557\n60620 85549\n6703 77444\n241 52631\n35182 95655\n1998 91083\n95016 98088\n39085 42439\n19528 99669\n21706 88461\n1989 59016\n55722 72282\n23152 53449\n7049 15008\n21050 85113\n11202 57762\n64261 79753\n45455 56008\n51540 64762\n64625 69357\n40403 85300\n61326 96976\n58744 68526\n25906 59051\n51307 92608\n18161 79146\n19918 83227\n65481 98552\n50561 79187\n44492 87410\n1774 26239\n45746 58719\n42033 70689\n10238 96429\n25517 95274\n68324 76824\n62222 81688\n22021 79113\n16695 72876\n57606 69755\n22709 45746\n44803 77001\n58029 77638\n33299 46244\n14529 45225\n47144 57232\n3622 10017\n59373 88406\n14607 26729\n75631 86076\n18055 56419\n7338 42565\n17899 96291\n40509 50732\n63780 79772\n32410 98668\n4704 96085\n97924 98430\n80573 94763\n35130 35890\n62128 85107\n84476 90346\n49336 74725\n31472 39527\n4796 78462\n4360 20150\n6804 61943\n78352 97138\n18323 48125\n47201 83233\n37818 90490\n71392 94836\n27114 76801\n7834 49983\n21527 36126\n9153 31660\n33237 52935\n2191 74596\n4757 64811\n9394 66038\n5471 36317\n86058 93127\n83514 93786\n66234 71238\n25823 37499\n47833 56595\n10696 56743\n21054 98244\n9982 48976\n10916 47895\n6422 31629\n64304 77714\n25057 68069\n36327 42919\n71268 82615\n43640 85254\n70223 99628\n48083 67914\n55557 80675\n28507 44221\n15443 49630\n22598 85252\n56565 99592\n12518 46172\n56240 78114\n2279 44823\n73155 73327\n33649 77511\n44645 66797\n6465 73898\n28415 33161\n9640 26460\n51643 74041\n584 95933\n26021 63768\n47450 97642\n48231 66681\n18854 44280\n80928 84962\n27232 48340\n21243 42631\n51761 70090\n1846 59987\n25560 61499\n48960 97763\n43604 82547\n91495 92381\n4633 50977\n13113 31025\n17865 71882\n69513 85084\n9990 46993\n60467 76337\n24140 87715\n29455 46522\n81086 89605\n6455 10135\n6036 79940\n7769 11285\n27515 94614\n58423 89245\n30439 71396\n18333 29618\n34088 58455\n73284 94553\n32423 36480\n22051 41568\n14171 94697\n7659 66561\n70057 71635\n4984 42549\n23278 31205\n28416 64728\n23555 53847\n13682 41456\n62159 77021\n59506 84294\n70029 86567\n24198 25471\n30391 79577\n11112 39499\n11931 62497\n84140 89230\n46581 70762\n50968 88985\n44417 47976\n15447 32180\n26999 43085\n53009 65526\n2915 42259\n14632 33691\n47138 62252\n66140 91193\n89683 95924\n1424 70897\n47932 67906\n33260 67938\n59847 87848\n41901 82586\n19344 88075\n43818 99986\n62945 65647\n6493 53722\n30226 89368\n11117 39411\n96954 98504\n30511 57308\n31496 52191\n4851 96410\n6997 60452\n16805 60771\n17126 48714\n11770 69023\n39151 81792\n7579 45944\n25734 87478\n4363 20699\n6071 91730\n50992 66934\n21480 40385\n26104 76847\n95450 95464\n3542 12867\n8770 27904\n41783 82319\n426 32098\n33033 59629\n38363 68706\n4871 86401\n41818 44201\n38876 73899\n37913 47122\n6289 50173\n71395 75478\n60249 88115\n2171 15957\n29722 81546\n7296 31005\n18051 60104\n18406 30084\n40145 63938\n11654 88823\n48725 61621\n26547 44118\n34119 99849\n56168 84124\n9309 99350\n40717 53917\n60168 91111\n38882 65120\n66814 79838\n66778 85850\n20866 33507\n23607 41334\n56341 88781\n35368 40412\n7206 27597\n64392 98156\n30864 95348\n16211 92726\n64992 69086\n70411 99869\n71981 96284\n27569 86663\n16533 93033\n6126 11427\n2348 21599\n62403 70338\n44344 83649\n77916 82713\n3907 18570\n14678 71700\n10583 14704\n6769 56852\n23338 30087\n41838 64963\n29963 40093\n47323 83372\n1682 7877\n30646 61553\n10700 80207\n9523 52042\n65683 76154\n36585 41622\n17929 69784\n1075 15406\n46611 97828\n59169 78940\n16711 63604\n15434 36044\n7636 19306\n46552 53693\n28589 46330\n22908 77505\n31281 61595\n52396 67451\n18757 72332\n39772 46396\n16613 79901\n28922 59047\n3774 19067\n2680 12012\n3505 61456\n38565 98969\n4765 39117\n43012 88081\n21160 27172\n38906 79030\n26863 37746\n52020 76135\n26598 63650\n23624 96685\n7800 49864\n21035 92757\n39387 51419\n32997 43066\n746 22979\n57979 64199\n9229 42045\n42698 73021\n29909 81430\n22509 30016\n41799 60971\n23012 37363\n10396 22261\n68778 97062\n48518 89074\n4951 79931\n6745 53815\n20359 75501\n72182 95114\n4761 93240\n74273 74589\n56539 98840\n54628 88790\n35390 59627\n32669 43404\n26145 92099\n64340 99787\n521 93344\n12884 57127\n11426 83766\n54550 81737\n10758 59144\n32801 36133\n49049 62802\n18730 90204\n11353 57884\n30308 93038\n48699 90467\n48577 69420\n52595 75774\n61331 87917\n14059 95809\n5113 17198\n37656 44217\n2182 99039\n21113 55061\n61844 77796\n33311 82660\n23820 68221\n20158 82269\n12391 68439\n7988 10260\n79728 98313\n88633 92231\n29398 72755\n25811 65858\n50339 89851\n36662 61105\n49533 93787\n19311 65569\n20024 73936\n9514 32115\n20807 55573\n39508 47315\n32293 45967\n23682 29833\n44437 69750\n992 59023\n8198 15499\n31661 85580\n20044 63408\n69862 92973\n53974 95077\n751 94929\n37313 89076\n49343 79840\n58344 74435\n30801 35765\n2076 8185\n6000 48814\n32017 88890\n5265 33774\n22116 53173\n7010 97190\n39838 49160\n19713 44538\n19380 84372\n41349 59829\n51166 86559\n48094 69744\n32693 84692\n14839 80071\n22348 26400\n33114 44247\n980 22232\n5990 84410\n44113 75242\n54838 97275\n57464 73952\n34063 46997\n38877 75063\n46903 76287\n62951 99207\n8252 59967\n45101 72761\n48636 65004\n48664 88639\n21700 88480\n47623 98279\n9754 73421\n45317 64153\n75361 96878\n44885 46660\n4407 24937\n9879 92534\n16747 22352\n4193 82630\n1849 17723\n74970 85254\n52073 67403\n24890 33243\n64665 72742\n76430 96195\n6022 37788\n2147 33145\n30580 54985\n18810 44037\n48217 68843\n17313 41271\n37080 77949\n10786 79043\n6792 91520\n25183 29954\n42918 60002\n22959 30737\n46907 98782\n87098 88706\n63114 75110\n72847 89358\n91447 91870\n8736 17667\n5309 88179\n47894 94665\n86859 94586\n93501 96761\n61012 65928\n7114 20777\n25994 64757\n65738 85298\n35053 84022\n32388 33405\n38215 99918\n37236 44426\n33655 44463\n11810 45819\n69309 70259\n69476 91933\n7684 48226\n10207 46626\n45046 97088\n6772 42706\n1877 81164\n67928 72125\n61474 82515\n20823 28578\n52615 81704\n30708 57261\n9763 90559\n268 18848\n45074 91388\n6091 58064\n21507 98273\n57359 84621\n24224 81273\n21108 68067\n36160 93964\n53861 63757\n10098 25023\n11764 41074\n41481 42189\n88975 90177\n70344 76366\n53010 65470\n66606 93988\n32943 35903\n7964 45143\n4597 47142\n3975 99155\n5624 67599\n73113 97075\n72542 94855\n53778 88207\n47105 69795\n84140 95630\n15628 19343\n51068 87503\n42811 80175\n9690 77874\n33490 61587\n43229 69436\n20889 29094\n22618 88029\n32870 44352\n28638 37265\n79941 97701\n48524 86235\n15474 93590\n57605 59673\n79130 81997\n45794 97707\n64632 82968\n18595 97062\n51514 87131\n5783 7125\n6503 24072\n32837 98881\n48241 82641\n11285 50447\n19196 78681\n16854 43949\n28537 86230\n26328 65788\n13975 36107\n10051 27241\n30287 95996\n15277 84512\n53435 57756\n24051 97891\n38533 68932\n26350 59736\n3340 96206\n2605 10544\n33063 85647\n48116 72578\n35122 43518\n24643 35421\n9413 96212\n23268 93236\n19967 64127\n57071 95018\n33924 83758\n87562 91765\n18039 43566\n26657 82498\n83658 88985\n36885 80650\n19930 78193\n1642 12317\n48863 78993\n64704 68748\n33336 74916\n14311 62134\n23990 84214\n26795 35787\n73700 77638\n33893 46994\n68641 99564\n81911 87707\n62692 97408\n13525 83678\n14431 60666\n67177 88687\n73382 83805\n7805 91081\n18524 81715\n10816 65950\n42569 69420\n7883 76692\n45147 59599\n66084 76369\n63072 95778\n11511 45771\n17211 76273\n42882 57128\n17041 64355\n10617 59488\n69412 81532\n15346 46505\n8402 60171\n15358 36540\n4911 36257\n17740 86256\n10341 45934\n3835 35546\n26153 65289\n40802 73459\n5804 81119\n33150 86873\n4646 89234\n13748 40627\n28472 70286\n15121 29099\n55746 94723\n7486 38701\n3943 82688\n72565 75355\n868 30874\n33615 80099\n36626 88061\n25524 89675\n44529 75583\n18930 23626\n7985 21803\n28327 93223\n33029 58251\n42643 92169\n83248 88226\n3361 8322\n9240 56629\n71603 99287\n25814 95670\n20393 85152\n11160 46822\n50727 81085\n24299 75345\n41594 89779\n18850 90977\n17810 98966\n55778 84579\n16005 95368\n38599 86414\n27698 49047\n33780 46804\n65028 87844\n43821 64023\n54766 98378\n18842 61149\n37595 98437\n29059 49017\n58790 78879\n34057 80758\n52510 82023\n2801 64153\n34095 54463\n29036 65919\n66546 66945\n23653 52613\n43637 98399\n13033 92828\n73042 82985\n91407 99401\n9374 86032\n42916 69020\n34761 94034\n33302 89036\n4534 24280\n23477 34413\n2963 11490\n23407 99578\n31024 61475\n43205 54101\n10124 44370\n18800 65391\n6738 82218\n77126 85493\n17589 62174\n36474 75032\n76749 98329\n73951 92399\n23902 35832\n24672 36283\n41147 42440\n33763 52547\n19500 95145\n86777 92721\n84891 95826\n47465 68121\n16111 57843\n18912 77450\n6123 23260\n22632 94593\n1353 86710\n30737 90023\n45366 59476\n1879 46909\n23605 93515\n40031 50135\n2424 41718\n30980 62409\n18682 21198\n7591 57256\n16185 88416\n82783 97909\n52475 90752\n27013 45937\n17437 44674\n36736 80551\n34897 74080\n25567 99136\n2738 42881\n651 66537\n33055 81574\n48151 99287\n36780 66824\n29327 75804\n24354 45190\n38465 94987\n28318 62136\n11562 95449\n40531 69152\n11695 46966\n6559 36801\n62117 65148\n82955 83387\n84199 98564\n12766 45479\n76041 86500\n25155 93587\n29768 71005\n562 53578\n52251 77211\n50306 81885\n41843 98008\n4526 58893\n59497 76150\n33205 40350\n1041 64601\n61178 79493\n49974 60623\n30561 39683\n27236 55967\n1034 12296\n25311 78537\n21555 95310\n39346 69774\n46744 52280\n15020 63460\n38026 85337\n127 33490\n71377 81955\n41851 76823\n73347 83661\n92403 95882\n9340 14233\n20199 62467\n79871 87102\n68995 89444\n90980 99086\n4392 19218\n57865 79769\n33442 72888\n66144 88475\n51575 54514\n51647 68431\n38414 76782\n45260 61883\n51380 78049\n31757 63455\n13362 88233\n62110 82178\n60719 80222\n15795 73517\n19924 46648\n56611 76357\n70368 95617\n40450 73873\n25185 92893\n17746 24572\n15843 34872\n2201 13940\n57477 99515\n14662 59810\n62751 64616\n49677 67859\n15319 36549\n54415 99327\n18251 58220\n6668 56170\n33561 48574\n17689 45328\n20659 94708\n26837 94361\n19632 90153\n53077 69481\n61140 82432\n44283 93529\n18744 19540\n17966 45514\n63280 65611\n71580 96128\n69544 74043\n67232 73435\n89826 91513\n18617 86277\n18109 82369\n59631 99837\n7506 93989\n16669 41908\n13389 60302\n77088 82622\n53499 69981\n68926 80206\n10599 60271\n9980 24055\n60205 84062\n70019 75766\n51753 55453\n66144 86364\n25368 63059\n48464 61025\n23912 58528\n20304 86462\n24667 41164\n28394 49645\n16576 83703\n33963 70001\n34521 75480\n3543 37682\n46016 57444\n3922 34925\n75635 91746\n1878 87167\n39061 77285\n17222 93115\n65545 79686\n40532 99190\n14911 58220\n64352 68367\n60785 87291\n40253 72828\n27712 70688\n39319 56970\n63913 79174\n12990 22549\n23574 54118\n15343 48829\n26704 45515\n26958 91662\n25360 39784\n40923 74742\n35981 67921\n24282 81760\n23132 24144\n70643 71603\n16922 35854\n797 62100\n84288 94019\n9242 16202\n25380 28533\n48347 60243\n58 84679\n14171 24689\n18651 19642\n25294 49485\n33906 62844\n42793 75698\n24124 27135\n46461 70594\n30401 68026\n37156 70365\n35142 50259\n22291 85736\n16091 55462\n21542 72748\n16477 45631\n39121 77658\n59668 80842\n17058 73456\n5989 89738\n7961 56967\n51103 80558\n34576 80083\n37770 79032\n49754 76531\n35172 99667\n56604 92153\n32632 66161\n2812 63857\n3301 82410\n4111 21399\n20905 92313\n4089 76714\n5711 24657\n32757 86753\n26029 53723\n10577 41918\n7547 59134\n48743 58771\n83536 91370\n31491 84207\n8021 14888\n63067 65186\n21138 95330\n20261 30250\n46602 49762\n14464 34719\n17256 36052\n9644 35929\n2980 36822\n74073 95420\n7081 68951\n27712 30996\n37984 67560\n7922 14242\n97484 98749\n3865 91650\n21480 72977\n30322 53024\n3897 39638\n67312 81782\n1772 69730\n46042 81382\n15624 17014\n32374 81597\n81499 86517\n41118 66768\n84806 85142\n17974 43390\n2417 62225\n8465 29937\n3158 74036\n14070 22600\n29193 90041\n65393 72587\n47085 57546\n4216 84998\n52180 90718\n30932 91719\n65573 66358\n30688 52630\n54411 80426\n12870 33330\n16673 96748\n12109 96496\n11650 73221\n89696 99327\n13944 85427\n31369 42413\n27426 31517\n46043 72384\n35937 92763\n1471 79852\n54682 96453\n17017 50908\n5359 91331\n19248 71161\n33035 72620\n65073 99528\n72464 75440\n1728 11386\n54975 84721\n70125 71688\n26627 43851\n99555 99628\n3786 71949\n18923 30900\n36662 64952\n31875 54178\n75107 79028\n46023 81726\n57260 89715\n41896 88502\n8362 66795\n63502 83143\n19702 93978\n12087 60755\n68348 82398\n5984 94904\n9410 54426\n48917 50917\n80029 93301\n12291 86959\n4727 8096\n15650 32738\n2409 81885\n2875 37657\n44498 53545\n77294 97624\n13357 75852\n20629 94602\n57367 76107\n3378 48350\n4555 38649\n31012 81312\n39137 86433\n36335 43118\n13989 73803\n43875 71345\n3078 64800\n21131 24182\n16651 71457\n41042 88656\n73221 94633\n30994 83224\n58437 87119\n11961 95697\n96845 99025\n35849 97376\n53864 93513\n5055 47096\n3862 74496\n80770 93009\n15482 50338\n31307 39165\n30212 66770\n14727 87970\n3157 72479\n31959 75242\n48180 61641\n18127 32447\n27574 76867\n54779 89103\n6425 46313\n60701 69382\n2146 99513\n18519 75213\n50202 63240\n42358 57615\n4377 62016\n29741 63830\n23546 37320\n60366 65636\n65422 92422\n54475 93687\n71934 96481\n5463 72346\n11451 77018\n63975 97547\n24545 59018\n3704 39928\n18570 69542\n27129 40551\n20651 96352\n61274 79982\n41912 42081\n27927 83832\n28524 91064\n40309 98510\n79103 87975\n34827 50670\n21258 97751\n82692 94779\n48203 78019\n61828 87483\n19801 97589\n32683 39643\n1531 81720\n79016 82996\n11505 97267\n32116 59904\n13200 35295\n13918 14451\n20710 23952\n47252 75850\n49512 82858\n19185 86868\n17505 61458\n1780 96014\n37501 48757\n9992 25983\n54276 98749\n61834 66701\n16056 80950\n17452 81451\n64397 92175\n24365 58765\n25686 80650\n59099 89065\n21906 91901\n37904 45373\n17523 93718\n36667 48045\n60393 81260\n18338 42369\n30843 71168\n61219 91833\n6749 50508\n4822 65009\n8782 71882\n35210 81522\n45643 83331\n82296 91682\n28931 47804\n53088 84216\n50278 91958\n64171 97800\n11140 62972\n53343 70484\n15446 17192\n13394 81066\n11309 34722\n6376 75508\n78481 85044\n35775 47444\n3142 24758\n32181 64707\n39474 50313\n6342 57800\n41634 51152\n16945 60448\n52798 95870\n13126 51683\n63632 77839\n24994 68797\n17900 30072\n22850 44229\n2858 93260\n36865 74919\n66018 83682\n23960 80059\n9950 87744\n51477 95199\n71878 99967\n39231 52683\n41140 42628\n81477 90553\n19161 77762\n21255 81316\n7614 33764\n23847 24740\n53359 90062\n8749 29629\n9247 82516\n58389 95240\n21278 80460\n10567 92651\n38622 84711\n15546 34832\n18498 64380\n40775 67572\n16597 83174\n76898 84453\n611 57339\n26798 46346\n23514 62475\n32468 77202\n18585 47357\n5520 72833\n79625 80189\n35343 78705\n56387 99802\n86003 97370\n52796 79201\n11261 68136\n2362 33265\n16728 55709\n20864 38503\n10187 35695\n206 53114\n75629 75680\n42274 77617\n28682 31996\n23434 77721\n22449 62261\n20359 72876\n44735 72630\n31597 91219\n46321 56509\n63155 80676\n27995 97378\n59535 91530\n63998 68457\n3247 50734\n56978 81726\n34202 87855\n449 63301\n12826 88547\n48174 81544\n36074 64995\n10606 33882\n44827 72172\n47731 75382\n4959 26226\n2433 87170\n18095 49811\n31955 45884\n19939 32055\n72624 74077\n18602 73681\n35737 54775\n43077 95977\n50632 87604\n79869 87290\n62496 90534\n554 82735\n75827 77170\n72307 73799\n42633 48852\n169 65059\n64720 89925\n33805 35980\n60852 80303\n58856 70669\n94450 95793\n44127 78312\n50513 99535\n3064 98161\n15577 34720\n3724 95960\n14974 56280\n51713 75223\n41272 58671\n66435 85707\n26692 41065\n71072 95279\n28269 48215\n8321 18225\n18329 73126\n22721 80123\n34510 57636\n32871 37924\n39219 59637\n68541 72243\n13871 76024\n34588 95393\n83803 87615\n28332 55553\n36939 88925\n31952 85481\n33970 41435\n7267 12331\n55891 84286\n52897 92184\n5182 58193\n32900 57000\n888 79229\n63928 65440\n47425 61082\n80601 86934\n67363 90042\n5987 31386\n7473 41202\n47910 66777\n17730 58204\n41743 89666\n47845 66303\n2597 52293\n67559 94892\n221 14831\n14218 23630\n14092 38305\n58628 62454\n49372 51443\n83213 99982\n30619 86692\n41860 86988\n1715 47774\n39210 92086\n58999 67518\n5793 70419\n7185 60534\n21427 90707\n28655 64151\n7856 26225\n48949 83156\n65229 85232\n23718 89117\n1026 15858\n33785 41915\n23872 84392\n7613 61898\n34294 59151\n5366 99922\n64254 93136\n81206 94704\n65155 79522\n20593 45753\n2800 8708\n59535 72679\n36828 81376\n17769 62577\n7283 66279\n12790 24989\n1190 74863\n347 26212\n61892 86854\n24794 50744\n87579 91758\n16054 61418\n12180 76237\n56576 79455\n6226 88540\n50368 66742\n33832 47654\n2735 42360\n41990 89458\n22772 97287\n62540 94484\n67067 94030\n76822 82334\n11818 55467\n13752 55118\n6903 78995\n7586 25775\n9951 35450\n40628 48143\n70409 72114\n55412 85001\n12518 56927\n23053 78488\n61202 75693\n57651 58652\n65258 97697\n6608 98266\n30227 49515\n1220 61993\n44225 75901\n16341 91808\n24886 47399\n21747 38126\n10685 71531\n61163 83298\n51950 71227\n28138 51494\n10407 18381\n71322 76909\n61177 61994\n48591 99285\n17761 79511\n12382 55616\n60298 61595\n29480 59181\n72613 82840\n85385 90227\n38274 52206\n44812 82381\n50886 92275\n13093 29575\n6465 92210\n28176 63718\n10631 58496\n64781 76590\n76903 99094\n20929 43707\n8764 63262\n27313 54626\n67640 94576\n43135 52446\n5709 71594\n22971 26242\n65526 93540\n8875 36788\n44793 69021\n65425 99028\n58463 86672\n74037 98727\n34535 47165\n37672 52153\n26256 96471\n62343 77624\n39142 44226\n17975 92630\n11747 43472\n23802 38239\n55075 99782\n92875 98399\n33412 87748\n4906 35431\n36009 58529\n20691 76021\n43433 92790\n20043 39773\n67680 74414\n62721 72293\n11536 24618\n41161 70799\n4997 97064\n42931 72170\n78728 94902\n58995 69249\n9331 65125\n22975 93133\n79278 79767\n3246 66353\n23339 57252\n4018 71652\n63456 88970\n16748 40141\n12805 47902\n58675 58993\n72775 97871\n21814 30009\n45048 96560\n9469 46532\n21965 85454\n4599 48189\n19233 28153\n3120 89995\n5920 63911\n9861 63354\n41391 66660\n1804 85740\n44605 76096\n62322 63912\n12259 97500\n56331 57523\n17239 49198\n5219 77111\n1949 88606\n52227 90487\n37943 71727\n75089 94036\n19120 30199\n33305 93051\n20287 35589\n11773 30969\n290 89884\n11952 29985\n78426 95648\n14664 63228\n38318 57846\n83146 89167\n14469 85326\n17976 19731\n11674 76502\n35762 71030\n43586 66214\n24573 32144\n64752 82902\n15335 95877\n38366 40190\n54854 87009\n85261 87710\n11031 70351\n20559 76105\n5082 46086\n16453 27639\n13606 47972\n62040 83308\n48423 59510\n8199 89882\n60364 83444\n62071 82539\n45570 63404\n50866 59001\n13109 50787\n71102 85491\n49178 71672\n52416 52484\n19239 21139\n3869 66760\n16296 55119\n29188 63964\n22822 74708\n15898 64225\n69195 88915\n27022 61362\n50597 70375\n11991 33131\n45684 65356\n74372 85526\n56267 89472\n46982 63379\n3962 54083\n9810 10694\n53130 98971\n65452 90534\n51743 79973\n29206 37675\n8774 67534\n71096 76595\n59042 63842\n14769 65100\n20256 92353\n51765 51773\n89841 95058\n45403 72631\n8421 46396\n26064 53805\n11675 99221\n42091 74230\n90033 95920\n32622 84936\n58793 79722\n9453 33622\n21865 28247\n29830 39566\n6760 37648\n6841 87222\n24629 62863\n41707 90111\n21850 44548\n41133 65049\n2656 68475\n1249 8249\n13970 24610\n10668 78025\n36945 49493\n30712 54534\n46777 49172\n44146 81101\n17584 74433\n12309 70220\n59346 96743\n15624 64980\n10594 41806\n32337 98878\n39659 67613\n74326 81643\n34973 90719\n26383 92387\n92958 97090\n18404 61378\n83309 87306\n11277 72857\n11736 62587\n24902 36943\n4240 59051\n75535 81187\n41457 66835\n10608 98008\n2799 9036\n1214 29109\n54880 72653\n18474 37979\n57099 74702\n72666 94603\n5869 27541\n3363 41124\n28059 92664\n42274 71085\n32263 41125\n64092 83814\n13093 71889\n20714 35468\n13322 32426\n7165 27876\n6429 33974\n46613 64118\n38257 51011\n40798 91621\n24651 47778\n7530 75227\n19229 57467\n7267 90700\n22596 91038\n4271 62187\n13860 14646\n52067 79596\n37904 72329\n65252 93720\n57022 67001\n37512 83849\n1009 2529\n7075 85932\n2962 85915\n28789 45761\n86446 97526\n17862 98414\n54865 99528\n45813 65348\n13372 29351\n1710 43295\n16830 70756\n11271 90436\n9199 38755\n37845 46275\n2411 25008\n39474 41789\n858 87239\n79122 85302\n83806 99469\n36092 89312\n3770 10443\n38334 43986\n41765 88411\n10071 33558\n25307 97785\n50999 87201\n15152 96155\n81435 98218\n72244 80649\n68121 99927\n9414 67416\n3356 45356\n24972 65224\n43361 86417\n27933 74453\n30069 74582\n13890 53246\n45150 77527\n4769 64604\n12577 58799\n48916 89713\n2512 26127\n60645 74728\n65671 88119\n26766 39288\n66779 76616\n16322 84195\n87495 97566\n33043 71519\n16236 96602\n50760 71383\n20689 46632\n20315 76344\n63829 84183\n32818 53976\n34824 60412\n24499 56426\n17729 26897\n58355 72555\n80568 82373\n65276 84408\n6360 79150\n5792 97277\n15640 25326\n2555 47003\n93272 96742\n24181 82768\n316 9223\n19865 39101\n23773 25453\n7370 62658\n4429 33177\n23953 92325\n44293 67432\n25938 27235\n18959 37446\n5935 61290\n1069 65417\n26463 85046\n18218 81324\n14362 19243\n50090 69354\n89823 97969\n16850 24767\n24875 42809\n23265 95719\n54598 58784\n47662 91113\n18796 92356\n15314 21809\n60029 73980\n46857 50914\n26634 81571\n39398 75411\n19778 33362\n9832 40493\n13693 99973\n28530 97582\n16570 74622\n17201 21300\n1135 46423\n91793 97762\n47280 94243\n59146 73684\n22873 44112\n53090 74179\n9972 74337\n14311 94405\n31566 43229\n57786 67621\n40582 80553\n81281 86585\n30720 84505\n15956 53846\n17614 45154\n2842 52806\n11092 99290\n5721 71181\n8785 42544\n24770 94200\n42270 43108\n5852 50384\n67100 72415\n2737 55947\n36585 60850\n21109 24578\n17591 90997\n48476 86853\n72435 87178\n62920 79124\n65512 97899\n39040 73118\n25670 68725\n41031 47079\n45241 78313\n35213 55843\n6860 54992\n7180 85921\n21120 93508\n43409 57871\n6036 86440\n67430 77129\n4788 61151\n69375 97016\n41166 57760\n19499 27414\n59638 60522\n26126 35151\n34389 43712\n25104 91626\n60799 91094\n41234 59702\n44285 74670\n26779 58853\n37740 82281\n713 78252\n2907 28067\n15383 98122\n5538 65130\n91871 98188\n24166 91028\n1089 42437\n12870 23214\n25004 64419\n23947 41258\n49092 75895\n34242 44819\n5231 12204\n66276 69314\n40075 69788\n65904 78705\n11291 71582\n13699 64532\n72588 77368\n12509 30695\n20780 21242\n45352 96541\n12655 50138\n51627 91326\n69736 95370\n40493 90939\n35912 66302\n16560 24863\n5519 26204\n32306 42738\n76910 82868\n27655 56362\n14068 55338\n19342 79402\n1121 51795\n56034 71545\n38094 44139\n35614 41329\n7531 79311\n44108 88493\n3101 98193\n34805 49332\n72602 82541\n55099 89142\n61200 94388\n73243 75036\n50044 73365\n6764 83940\n11937 21048\n51481 58879\n4666 52727\n15730 96497\n31351 90805\n22386 51727\n38391 92633\n6761 23500\n65048 80363\n4018 22794\n25839 27508\n6145 15716\n82599 88844\n15724 68765\n44361 70522\n64642 77999\n979 76517\n78883 87069\n45530 63873\n58778 80918\n15596 84922\n60921 82954\n60370 75965\n39645 47776\n17184 60232\n5300 72388\n25180 90017\n47229 81727\n56065 79948\n8220 80625\n11092 65517\n15936 72789\n22617 56648\n18874 92495\n79135 99764\n59950 87093\n15946 56856\n23775 76636\n11816 34281\n28733 89579\n58477 65017\n39264 87469\n11840 78326\n62675 93497\n45682 91872\n26036 83052\n24618 70821\n16405 77261\n11966 39264\n28128 28639\n21562 51090\n17431 86084\n10857 96483\n36565 53267\n38946 98776\n54023 81258\n52925 54835\n71080 81732\n62186 97698\n1855 26414\n70124 98748\n85449 97200\n92510 98488\n42513 62572\n18174 93802\n62142 88281\n51101 97065\n77075 87807\n41314 97751\n15326 61816\n31585 77267\n42055 66003\n15710 55209\n372 59540\n27345 41080\n23414 74427\n34398 94469\n3236 98736\n32414 61631\n22733 96668\n70763 97184\n50537 51090\n41486 80326\n29265 70311\n16762 77335\n33824 81476\n2987 12080\n20906 83076\n39840 80837\n13611 31495\n70887 83987\n30728 85033\n5901 75569\n3788 93075\n68414 75132\n82006 87345\n9113 45612\n782 94550\n56196 68094\n58513 64057\n30798 64037\n19595 62792\n10809 20191\n46556 71619\n45223 55031\n34710 92148\n2414 31296\n52888 66850\n9379 60900\n82161 94800\n31494 99743\n31697 75674\n10009 74188\n713 68544\n39079 78030\n453 22457\n6458 95845\n45948 73348\n53340 55166\n776 87905\n44150 62419\n4269 99943\n11869 52074\n15313 80277\n55010 84791\n35900 93931\n46346 55087\n46626 71248\n81209 83642\n53500 67464\n82477 98287\n33049 58601\n97298 99211\n63119 78220\n44055 95709\n4914 94191\n87878 97604\n5466 63614\n11981 37313\n45853 54647\n21706 88793\n65667 87739\n5096 11168\n77807 83092\n63466 80515\n54785 61947\n28227 40474\n10772 11341\n10425 63243\n2574 24355\n44463 49964\n72784 90819\n39189 42194\n28011 51128\n15349 93907\n9947 49575\n29753 75702\n2856 94076\n32962 69970\n12651 56738\n79344 93236\n29482 34971\n3816 8958\n53342 78550\n69806 80563\n31868 68977\n39731 74708\n5689 17926\n44746 81440\n30647 80377\n20748 89475\n6077 94843\n59235 77553\n1115 39461\n2794 42597\n44686 93933\n11700 97324\n54820 71994\n25326 65245\n8730 63217\n96709 98359\n4559 22176\n58270 97088\n43639 45121\n25375 96855\n50214 73369\n4646 55301\n61784 97593\n42845 88194\n7069 74968\n5486 99778\n30845 91848\n25814 96213\n82695 84500\n68329 76883\n17798 50408\n1881 68462\n37705 89032\n21115 62919\n47430 88805\n21625 80124\n63889 99601\n12874 57954\n5540 90445\n3278 35846\n7770 68042\n2134 60534\n8479 31762\n50109 87131\n27755 55179\n9654 73050\n55227 88161\n49574 53017\n38081 87314\n57608 66978\n10845 30641\n3082 61047\n33444 92061\n64984 67977\n28385 33172\n41996 68858\n92726 95743\n67270 80318\n37700 52636\n12563 49272\n55404 85328\n1110 81704\n50980 85821\n19736 46533\n48537 75350\n85516 85785\n44878 98114\n48086 54380\n22141 25449\n16212 80926\n16604 38778\n17391 99618\n48484 94200\n20105 77747\n25812 69130\n16982 48458\n36308 67032\n31619 34846\n20289 54144\n55513 74732\n21399 77880\n56616 61695\n76457 78264\n23950 82546\n27346 99504\n8863 46130\n58327 72887\n22201 41717\n10454 38039\n51192 65363\n65914 92967\n41429 95982\n25995 88282\n91613 96797\n15426 97740\n46385 55053\n2277 39785\n33841 79421\n46371 88112\n31915 95329\n39099 54229\n2306 47080\n64888 94887\n84738 94003\n79922 95415\n14199 39493\n15078 38984\n60082 62716\n8124 55036\n33090 71308\n16788 58103\n88517 90287\n14760 86938\n58330 97147\n30431 45862\n26998 71466\n47470 69475\n48489 91389\n49759 81828\n4343 96453\n52226 71561\n4272 54064\n31158 89355\n35261 49316\n8643 46072\n70481 91374\n18182 93641\n33564 42536\n58247 81880\n90986 95086\n40098 84377\n5973 39099\n33570 76021\n75411 90104\n43944 80287\n53602 92077\n73656 76256\n75766 92556\n16242 29852\n3324 22506\n91904 95841\n32382 80758\n5515 51790\n44690 54792\n26005 91149\n22666 24269\n29697 33617\n27067 78663\n17635 37327\n10870 93675\n35659 47125\n14205 19275\n61734 78982\n14773 93125\n78643 79353\n17532 43402\n13071 24457\n328 49706\n31221 91720\n66799 83539\n34858 62246\n33933 93150\n38589 75807\n34943 72203\n25411 47398\n18564 84861\n58953 94780\n12765 55741\n19256 88023\n80761 85956\n75348 84907\n2245 31488\n16247 98209\n6266 72348\n502 50094\n28574 82723\n15880 27021\n23942 90308\n17274 24229\n22840 90640\n34956 85617\n49546 92988\n18324 97022\n13491 74078\n18072 57140\n9217 25632\n59497 67935\n51201 75537\n9576 46900\n8925 99151\n93985 98309\n40244 92029\n6397 11527\n39371 73075\n3004 21811\n1883 15945\n33799 60006\n61866 99643\n48327 85452\n58618 72834\n5756 96939\n57816 73488\n54152 73159\n37002 39503\n22178 72490\n47789 89471\n23337 28547\n4494 61898\n57923 89678\n37697 84588\n15828 57691\n16244 34596\n6093 83347\n62562 85297\n22621 81912\n23720 35660\n35423 61373\n2988 91011\n15602 46730\n59134 74872\n48545 77668\n77800 99460\n7333 27258\n80205 83952\n25558 48695\n9357 98529\n16399 63449\n43721 72848\n9407 24710\n17802 86948\n90158 99490\n24872 56900\n4438 54338\n3989 41771\n22225 93009\n8457 51766\n48324 82641\n47787 73806\n29810 32650\n24915 80407\n42119 81313\n53651 80646\n26740 69739\n61456 65653\n13274 92645\n31840 99043\n31415 45461\n17014 21407\n15541 20223\n87637 92375\n11463 24456\n25553 29452\n12305 60841\n57108 66575\n2678 68563\n7471 21728\n4504 80497\n38940 99577\n17881 36680\n66825 86788\n56620 65861\n18278 52669\n65263 77189\n17416 74683\n62057 63904\n41453 88299\n46639 86180\n19868 79962\n53259 80831\n14029 42042\n39010 93986\n98873 99463\n18569 79507\n31622 77856\n62618 90035\n80057 99956\n37092 37826\n32269 44407\n31687 42033\n56192 94282\n36798 56935\n11257 98780\n51221 78756\n13578 46475\n46848 85265\n12162 13150\n45621 94436\n98006 98028\n40487 56605\n55388 82601\n14801 90300\n18728 24039\n68 97194\n22419 58405\n12621 52404\n15384 83006\n11443 91646\n69185 94555\n56725 94306\n60492 79344\n40834 75111\n26446 92152\n6855 63964\n55869 96724\n48848 98732\n10682 81254\n26278 67470\n10249 68295\n53517 55191\n76726 77643\n34046 76734\n4510 38580\n33697 70453\n58878 83428\n35168 51275\n424 43947\n3143 36455\n54259 96603\n20943 35150\n28803 71680\n7495 68631\n21640 31960\n2871 39726\n49786 70548\n36039 53263\n50317 63730\n4503 27356\n45407 72382\n66593 74121\n25300 62435\n30665 72332\n26761 66013\n6722 13663\n43379 99183\n40512 49911\n6597 28623\n72994 81125\n56394 68078\n10185 30820\n22245 37644\n76759 80451\n7150 51277\n2700 66182\n33902 75511\n30935 67692\n14452 25136\n22535 45634\n19903 99024\n59541 71351\n33619 42220\n35573 82197\n2968 4328\n65444 92595\n67996 99661\n61427 72288\n35762 58461\n38548 72749\n63692 64127\n91683 98785\n1483 29647\n54436 95736\n2774 69705\n25631 81294\n66573 80527\n39521 50528\n13904 75657\n35106 68788\n12104 69158\n58727 98708\n73708 97346\n7985 66768\n29882 56992\n7310 45819\n52786 72244\n60123 96305\n3628 85451\n62228 98250\n5614 37694\n22117 73079\n38421 68678\n19154 99070\n45656 56335\n2529 95971\n17960 97947\n2918 28982\n66620 80487\n31086 73051\n39385 86199\n23128 75016\n52775 80273\n15790 72466\n60910 89239\n3697 35899\n32088 70798\n68814 99666\n57949 82631\n47657 57852\n41309 99200\n123 74029\n55595 90465\n23374 36858\n7480 32138\n54493 69766\n27391 93075\n9881 45643\n40883 57333\n52234 78899\n68806 76855\n68105 99337\n22239 41084\n17108 58544\n2917 5980\n27368 31188\n27756 59567\n44457 48298\n48000 64793\n7216 26320\n20681 64799\n11432 46514\n76508 92838\n11236 85914\n52690 56892\n3718 87125\n27629 27676\n3428 7122\n29976 70267\n19590 42909\n29684 30549\n4544 85143\n15162 48442\n20927 78696\n29009 29932\n84160 89683\n23918 28938\n25060 28739\n45057 64093\n47830 72014\n64141 82600\n2759 35152\n29355 34352\n53512 89570\n24206 80677\n8530 29055\n57681 95131\n36739 82953\n51671 77096\n46899 75927\n36983 96110\n6378 89729\n3038 15660\n18603 60358\n49738 58682\n9131 88391\n4988 96305\n36657 83274\n14465 84445\n15348 57471\n46327 78515\n27930 61606\n46592 84963\n77286 96946\n72225 93208\n87518 96083\n43519 68595\n3960 74235\n75376 98819\n5236 42818\n33118 41951\n35354 99274\n79160 92289\n80032 85828\n60705 97807\n53105 59333\n40814 69356\n61993 64487\n14101 46399\n16433 76463\n5318 77620\n21567 93987\n3024 85938\n52380 89864\n10267 60174\n47915 52326\n81 86319\n51976 81536\n53465 96687\n49828 71744\n10223 43721\n78781 95463\n9405 58912\n62670 81514\n21000 41657\n4417 73564\n78948 83394\n25318 98862\n17025 89649\n2432 88551\n47391 58946\n79996 85649\n56332 57317\n55709 98495\n35546 39550\n22546 29418\n16987 68726\n49382 95336\n22728 26276\n39422 96843\n10995 13060\n50369 63094\n68219 91493\n33046 35606\n31312 55961\n65349 87075\n6400 55992\n21689 85590\n38506 92020\n21670 88383\n64190 89513\n35461 87403\n37773 74207\n32820 64264\n50085 95200\n50008 64981\n8831 78877\n76765 87818\n23964 48839\n25828 44604\n71471 92025\n1010 22601\n39644 62133\n4562 88756\n82022 96219\n36702 67054\n1497 25853\n9421 62659\n89456 97520\n71556 81715\n62901 64733\n45036 73297\n47479 90600\n74708 96897\n62624 74516\n29829 71806\n52672 68814\n875 8025\n26669 90644\n89211 89811\n89402 98990\n24276 80779\n17574 59351\n20327 96877\n61196 74955\n49016 55045\n45210 58290\n41899 87926\n56423 56935\n69984 83549\n25742 45457\n13234 57712\n24859 98799\n38332 67550\n2339 26745\n54922 93904\n57301 83258\n81076 96604\n20271 99124\n22146 28377\n1848 78966\n61621 78162\n11788 86833\n56678 59840\n27588 74071\n7133 83755\n37609 42516\n61506 73287\n5264 22332\n38392 50095\n6864 52029\n23682 75679\n19565 27405\n78916 84972\n61408 82465\n41752 46627\n43369 80030\n34010 48054\n23365 78003\n26211 55090\n49292 88258\n26253 42695\n52069 66706\n52271 65939\n288 80549\n19246 29114\n46197 85295\n21797 22335\n147 99843\n57038 94614\n36876 43007\n10145 85551\n64035 79145\n665 98117\n7310 44443\n50834 61728\n24372 86815\n5223 79424\n64128 65672\n12786 73191\n42084 54493\n6051 94061\n30260 50198\n25476 85102\n33444 81940\n26050 94610\n33077 97809\n18987 83752\n42009 99104\n36400 65932\n7877 21390\n37725 94787\n71057 86860\n78324 84628\n25950 95564\n75401 83448\n1096 34386\n6359 61626\n8600 30789\n43788 57443\n41249 71294\n19873 21598\n43472 91325\n78962 84368\n58548 59524\n43154 53679\n75385 77659\n28158 73249\n34829 40940\n39509 52360\n11262 89809\n40262 85358\n61142 76876\n8723 81392\n11281 61159\n39544 66752\n24202 34488\n38648 55539\n4672 28226\n26360 35687\n17458 37941\n28914 51415\n13906 93736\n35934 87245\n74344 93033\n48015 60239\n14805 94445\n38400 94977\n73975 94591\n3954 42656\n56488 64897\n34941 86751\n40328 55383\n17440 52043\n13507 93619\n20555 99722\n77460 86556\n36348 84146\n52168 79576\n7017 33088\n42251 44432\n18439 76079\n11381 54123\n33873 89189\n76994 88442\n42600 56321\n62017 68691\n27149 94373\n51057 82227\n27007 27454\n47596 49282\n43708 50772\n36904 91815\n56106 92591\n31792 41084\n47479 51797\n42915 73568\n84554 96181\n2403 10437\n77209 85558\n26544 40694\n38533 67437\n58119 69782\n59890 87441\n79002 94248\n47022 70633\n35043 38671\n12796 82546\n1314 72818\n25224 64757\n29486 32099\n6769 7250\n30785 94742\n10338 50364\n12381 42407\n18971 47071\n29141 45570\n28382 59404\n13553 59167\n8901 58502\n2927 60997\n18387 26276\n4349 90239\n28536 85709\n2326 31709\n19790 41958\n15922 81474\n29053 94398\n36427 87059\n50262 70595\n47926 82027\n1748 9492\n81893 92695\n50780 67870\n26792 57512\n19703 79706\n975 1487\n30017 54648\n33336 85500\n22762 30989\n45683 61417\n21203 52210\n90565 93752\n40905 84741\n66804 79846\n8327 68673\n83227 91913\n1294 94341\n46859 47711\n43470 57278\n61790 84518\n91815 92141\n74507 90404\n61740 72354\n4066 44547\n5941 53422\n7051 19612\n49674 97817\n37425 85233\n8055 35452\n8774 47567\n5276 15944\n33184 84130\n97418 98291\n4990 68920\n18418 65103\n52236 76322\n19970 50659\n29367 32776\n22954 94963\n36409 81594\n16140 87773\n76465 86876\n57652 68562\n45200 72280\n44035 46738\n41545 76076\n5767 63671\n68204 92588\n40381 62060\n25 81202\n4061 41183\n26431 45068\n48369 51275\n41352 90820\n26661 81448\n23489 35034\n36922 44394\n41611 95559\n57192 96649\n39071 53009\n1814 47197\n54990 73185\n12335 94864\n26964 80648\n15601 68741\n13294 43596\n18798 32084\n16649 96696\n28384 96171\n35041 82030\n31366 81624\n25483 35839\n704 17159\n41261 55890\n12574 61885\n8765 42060\n25611 38506\n19320 95996\n55628 74746\n59446 65371\n25165 72664\n32427 50024\n25124 50114\n5519 95387\n8322 85510\n27035 64768\n22166 99399\n31354 32605\n13437 21420\n16982 35359\n35415 58384\n26142 29461\n77437 99409\n69566 83275\n62736 87124\n27765 44540\n73084 95611\n23 38189\n80521 85940\n43733 63491\n53249 73069\n2400 97269\n81477 88747\n52745 87251\n32072 95418\n18553 48199\n20525 33395\n45287 87833\n18031 44154\n38842 90233\n35808 97240\n11127 38813\n43842 73727\n34652 74198\n551 94135\n69264 78105\n79444 85630\n52778 62389\n36539 38325\n2291 4092\n13753 66841\n43858 76245\n7787 56804\n44171 95864\n2941 68779\n52701 84609\n31592 73463\n27054 77905\n27404 57555\n16650 26169\n15527 40152\n37528 49583\n65056 80462\n33192 33673\n1409 8326\n8147 93159\n16132 24263\n66064 79244\n5913 19985\n46687 78072\n37527 91057\n10024 51924\n11121 37612\n2148 74209\n48665 53192\n29926 74057\n35797 57313\n60255 60831\n25207 81742\n72649 89593\n27898 82103\n16749 75671\n11726 31968\n14016 94097\n33012 39324\n34061 89615\n10059 70307\n19967 22039\n28389 30708\n7705 22554\n75 24264\n24017 60356\n7633 65458\n91416 96748\n4842 62171\n68132 83253\n6921 73572\n42155 76198\n32259 48671\n23011 45150\n23000 69120\n76300 79017\n14419 90467\n25731 64145\n14025 85224\n27718 49750\n22831 96290\n8190 26578\n9746 33271\n24805 60050\n60531 82449\n3175 88308\n28358 97825\n42665 72990\n41165 97899\n7644 78943\n32472 58680\n33752 88720\n12714 97812\n43301 59654\n45140 97963\n7557 83986\n33104 68661\n36517 67526\n65996 79404\n34261 80988\n15872 99913\n27459 36984\n37779 92790\n59244 88543\n33636 66416\n7013 62947\n31276 44645\n33332 54610\n21780 84358\n16075 62334\n70987 72175\n2512 64153\n67787 75612\n11617 59610\n39317 95244\n75487 81236\n50230 86782\n47976 69164\n30859 84930\n49274 85915\n47537 80621\n18860 67323\n19653 39508\n20663 88100\n79708 81237\n56877 97616\n38311 62134\n6760 98591\n5977 54450\n39322 71433\n53644 91593\n49503 85312\n4791 42447\n71221 95340\n6987 62458\n528 84164\n24717 29734\n61249 78438\n89412 91524\n6862 61835\n82727 86489\n16340 72970\n2682 86595\n19 76420\n9403 42237\n8943 65545\n41588 64097\n5229 70896\n40248 49030\n3847 44591\n7286 52140\n78924 78990\n65121 92766\n83287 93818\n13642 37747\n2036 70340\n15730 26847\n1474 12862\n9046 22537\n24749 46599\n7646 76959\n45144 70587\n12516 51152\n9724 86430\n2879 99293\n59681 76234\n1695 13756\n8496 16039\n32567 74846\n8681 25916\n64232 87576\n12023 26012\n35175 38268\n18943 77306\n10618 87837\n23173 88538\n89218 96750\n67840 83842\n57036 61152\n55341 61490\n47661 50629\n17129 23568\n20932 38672\n9269 61553\n55400 76273\n38789 40132\n47788 56884\n31015 76573\n28200 79624\n39039 67996\n34847 46520\n30210 69138\n9030 89057\n14858 60773\n24199 64351\n75427 84510\n9453 89850\n39916 64575\n49973 81466\n60649 90658\n14257 60726\n1758 19366\n21733 95106\n28728 91474\n34619 68572\n39053 64992\n36772 53555\n64508 72437\n698 93849\n61675 91379\n8039 82051\n51122 60642\n3511 87192\n5564 81523\n22211 77388\n28184 42546\n14960 54221\n3698 78030\n13483 97908\n9133 40080\n30427 51203\n59853 98887\n49878 88205\n8396 92600\n29720 62543\n665 53740\n13882 38117\n9777 99896\n21639 65206\n63163 97351\n11380 58073\n62421 81777\n6794 38776\n31479 35364\n24560 64650\n30556 31978\n176 79329\n39913 87111\n3141 55224\n797 23986\n91161 92431\n42127 92066\n86426 93186\n12975 41005\n7257 50564\n72275 90405\n26854 30308\n50784 81434\n33598 71952\n85003 97980\n90965 99129\n3176 60935\n48122 81403\n16212 76654\n44817 44943\n84520 85219\n67589 71783\n59763 97243\n29691 31424\n19151 53597\n5625 19817\n36178 65281\n55678 72285\n36827 95998\n5887 96399\n23954 98179\n54577 84100\n57683 79767\n8524 93531\n10458 86412\n23409 30849\n60094 72345\n6470 7446\n56792 80958\n16205 43048\n58981 78383\n53932 55213\n24524 57172\n26342 70817\n60085 85273\n37431 52720\n21624 78446\n56600 71693\n19130 40027\n82540 84088\n29557 44541\n8699 62755\n30528 90945\n60682 99735\n41095 48389\n20383 38342\n20139 75563\n8112 18662\n35197 64936\n3915 48658\n39226 68470\n41558 99913\n31925 85448\n13072 57192\n26004 76021\n38058 90074\n57693 75415\n18029 43861\n47711 93647\n6583 9046\n55579 82243\n9593 12365\n42591 88339\n3900 57591\n45838 68009\n17723 39737\n92276 96083\n13132 71887\n51694 87170\n48446 56349\n53940 60544\n1865 74452\n24316 34833\n14927 72477\n36418 55365\n45904 85648\n51082 75210\n16030 99624\n23646 55197\n28547 94428\n19711 28778\n52439 92241\n22060 90060\n25073 71585\n49299 85323\n27006 44456\n4510 30927\n54197 86393\n1931 79468\n85511 97934\n65337 93066\n61137 70703\n40373 46023\n6206 65415\n19888 55991\n57185 89374\n79984 92546\n9090 53511\n22691 79659\n63077 85389\n49947 64818\n7626 70132\n33310 75000\n40942 83821\n57101 98041\n65966 92695\n13744 48327\n12155 66570\n79220 99096\n33050 45808\n73042 85649\n3763 9939\n34631 97776\n81606 85877\n43455 82387\n66268 75042\n71428 96355\n55440 76960\n5082 56179\n8633 85460\n1677 18102\n23623 69539\n17771 29345\n19343 79456\n90504 99038\n67320 69201\n52120 81489\n67602 78328\n50021 96175\n19195 33925\n41580 75099\n38178 98705\n27452 93645\n17392 91884\n2392 79427\n11238 26432\n79265 96177\n5319 27012\n43516 84348\n59909 87114\n60014 70941\n47862 62689\n37375 81184\n9541 67443\n52325 52357\n65136 73522\n2311 34563\n2124 65856\n58872 66567\n44102 85294\n15769 78109\n4948 95876\n40332 81304\n40023 87310\n40458 73044\n4423 20477\n9265 80529\n22958 57582\n38895 46635\n42978 56392\n16213 53868\n64917 93003\n939 96605\n45078 84743\n28004 97630\n60896 96636\n14203 97122\n11242 58826\n17595 80247\n3137 11202\n57433 72143\n7953 95551\n64404 84732\n963 51290\n57156 65545\n9251 77533\n27060 88937\n14837 67883\n5695 60812\n45674 75596\n52998 79742\n68194 72142\n41689 78316\n19216 34299\n34515 73444\n11757 79919\n32436 68942\n61985 98239\n87786 88096\n10089 92681\n20090 26625\n8060 39111\n30097 66225\n34010 36184\n36423 76721\n15664 55797\n70805 86830\n1539 65423\n17780 92731\n2294 32756\n36783 88625\n31774 67548\n37360 80796\n81616 95872\n77247 95397\n26428 66606\n11580 44108\n50690 71964\n17023 61581\n23532 77486\n9470 28365\n22245 65577\n14534 39382\n57489 70621\n24139 33355\n48166 90094\n59076 83151\n53084 71642\n59520 83643\n16493 18564\n10201 96810\n10539 34789\n42474 59034\n53339 57686\n17930 18781\n20595 50557\n3510 19964\n23824 46026\n14584 16771\n10539 19527\n28229 58190\n29662 31713\n19664 27323\n14725 77462\n68302 87656\n6384 8212\n15707 76468\n28098 71308\n63891 94080\n942 80620\n17701 27485\n619 78394\n1428 18405\n41830 90305\n53411 59509\n16665 42949\n22463 78182\n21258 94268\n14048 66138\n31860 72226\n23022 57061\n45455 94769\n62028 84258\n82640 95088\n41671 83234\n24039 34947\n50844 80157\n15356 50110\n8153 11109\n68358 97259\n73907 79172\n57165 62847\n45143 90262\n49780 77478\n49428 95093\n2744 53834\n6327 43813\n15906 41543\n3662 38077\n13977 38398\n15074 38418\n16472 22040\n19607 20815\n52381 67395\n10780 94231\n4415 38989\n3353 60880\n42761 57458\n18588 80746\n1188 25578\n30889 38554\n9989 70811\n30113 45652\n67621 94481\n3666 13651\n9094 35396\n10115 61629\n15862 35498\n5037 63636\n31650 48888\n34205 95791\n43634 59260\n24672 47150\n4965 93010\n23531 58457\n3047 83175\n47669 72819\n56080 80470\n1779 28000\n3812 8042\n15067 49036\n818 80202\n17359 78787\n51324 75545\n34494 38193\n42608 61937\n694 37731\n17418 67162\n6057 96359\n43909 93346\n42281 89032\n82203 88023\n68812 91183\n51016 53984\n19756 68085\n42471 49308\n45965 91900\n25136 89315\n58277 71362\n57382 98374\n41028 99241\n12329 27641\n2800 5368\n23702 66606\n69524 80232\n2303 42448\n9304 77382\n48208 94143\n45148 65414\n67855 83440\n63546 70506\n16420 96818\n41704 59807\n10116 10323\n20030 34442\n95958 97622\n62743 78108\n65269 72721\n49168 65263\n34163 72268\n13403 50895\n26710 83701\n14664 96498\n448 78805\n3464 73459\n1249 37450\n33169 76207\n52151 73565\n25141 53109\n7676 11978\n33808 94843\n9374 71660\n57710 68969\n36249 53385\n20046 30551\n50690 81007\n20249 90743\n17948 22795\n2889 69495\n48305 52584\n5586 85422\n67295 83895\n7522 82900\n34072 94068\n69115 86170\n9974 49136\n6576 54188\n20685 39016\n59673 62716\n4505 49304\n63417 64539\n15322 70716\n1093 27949\n8268 57937\n42846 73557\n61442 83398\n25097 35347\n38123 40711\n38335 73926\n2104 82570\n38878 44264\n34735 80819\n54653 55252\n4046 72849\n17951 73890\n5244 40754\n74533 94083\n16715 56862\n53957 73185\n44001 89401\n71899 72550\n976 75017\n41429 61041\n37574 96421\n2668 93609\n42133 88382\n33328 85951\n18337 58218\n13793 80483\n27208 29642\n29335 77728\n30250 70325\n74245 87086\n91262 95288\n7039 98349\n40781 61298\n49652 94324\n9410 22084\n45481 92915\n9725 12185\n13759 15816\n66833 87595\n69868 84645\n46736 91653\n49918 63994\n9193 24169\n53681 57713\n23655 83812\n22880 78739\n10758 62980\n6115 69645\n1502 9156\n1246 63652\n4215 13537\n21330 44056\n32831 52365\n3256 84599\n7205 21071\n73279 76887\n23998 77512\n48847 97711\n56850 91156\n17475 72471\n78733 85426\n50328 69048\n28336 60334\n33992 47013\n12270 15016\n31307 54133\n6662 58294\n36173 82838\n44435 58267\n43081 87620\n66911 82421\n45283 51672\n84846 92847\n9306 63867\n50597 72428\n9371 16298\n23193 39552\n34468 51194\n10450 47853\n78008 89321\n81324 94578\n52916 86091\n5564 62754\n32909 99622\n29013 92177\n29339 51769\n10138 91181\n70457 94247\n73677 89936\n43137 54833\n70068 76495\n36417 42971\n38296 54478\n81043 81570\n52776 73187\n17779 48929\n38859 46014\n60493 67404\n53822 72239\n95265 96608\n48678 53117\n59227 80140\n42502 82393\n8704 65710\n6850 54935\n12037 15060\n72572 95906\n23654 76541\n49855 84287\n53720 74240\n3005 77145\n11237 17123\n50548 58942\n72526 78800\n88683 96209\n15213 29696\n7122 96149\n40589 70366\n51129 83362\n994 5625\n13884 41604\n1571 86178\n19490 91948\n50729 60682\n35504 39029\n17254 93523\n52931 98748\n67646 71183\n12248 23958\n74648 87046\n7163 7566\n29009 30165\n2977 23116\n165 88011\n19348 71192\n24570 74096\n21716 70146\n40050 56753\n56577 83086\n27196 98842\n16451 45032\n6035 75752\n2669 39160\n20952 43330\n88109 96255\n56042 99983\n62046 97056\n34888 89127\n63119 98130\n58401 93383\n23015 23657\n9956 64466\n22948 43246\n4823 71890\n64356 89298\n57522 87694\n29162 98948\n8937 79726\n37970 90251\n33816 86917\n72364 76375\n18401 19889\n48653 93076\n73077 88442\n18398 61445\n1921 3353\n67414 83819\n27469 55816\n50018 88155\n19520 39348\n23223 25408\n43069 74980\n32116 61027\n20745 60596\n38989 59472\n12044 74768\n1866 58195\n23535 76969\n4533 27801\n10177 91628\n40041 54579\n15802 88574\n29267 45408\n34223 45592\n89201 97208\n19179 66159\n11289 85189\n3915 91595\n1283 47204\n84586 90930\n37800 64222\n7137 42426\n10688 81167\n34857 80921\n9633 81654\n67382 91578\n53672 98668\n42089 73914\n80 47800\n65867 77741\n34299 47655\n36706 96268\n16843 58463\n15101 56256\n57518 92616\n11439 90618\n17860 61193\n28626 89758\n38628 93006\n9103 55341\n41398 43473\n61774 86860\n76639 88861\n32066 96013\n65363 79593\n67175 82035\n32671 34181\n23700 48354\n27888 85854\n26356 59984\n18874 30405\n11536 76518\n37739 40462\n46272 91450\n12406 30136\n74542 98573\n22496 49348\n81136 82865\n11109 95309\n9615 64684\n34903 73457\n7916 19788\n7015 99073\n52534 55500\n66249 94515\n4854 51307\n10291 65179\n61134 88111\n92027 96644\n57154 88832\n18974 60030\n52985 81908\n63149 99317\n38154 65012\n54444 99316\n33353 50522\n3056 50251\n53738 69020\n14434 81996\n38560 50687\n60674 97857\n6914 97746\n50901 57105\n28782 98506\n37938 97159\n9420 23960\n68403 97119\n38797 75477\n81128 95971\n13581 40346\n14109 36359\n62164 85148\n5938 79571\n2077 25457\n15588 69478\n9504 74298\n11315 22125\n26861 42298\n57145 84185\n34465 60615\n7447 59289\n42695 79641\n17773 94684\n3647 72363\n45238 79970\n32675 37319\n1258 3920\n80644 90860\n7693 62904\n27769 71228\n35178 43119\n13844 90072\n49554 86982\n67363 87172\n19715 66279\n10897 31600\n25902 89976\n18763 72144\n17086 59138\n56305 99670\n54692 91866\n39900 64508\n24108 43023\n30069 47269\n45075 45234\n53769 67537\n2609 81417\n466 3385\n3231 31200\n32762 87042\n75329 88438\n20921 70633\n2747 47422\n15795 26976\n51842 77699\n53367 53858\n42481 79110\n18886 53924\n21077 49778\n96566 97529\n71013 94032\n4193 67960\n1845 39585\n32590 50583\n831 51657\n59019 68949\n13846 15536\n16357 18097\n4362 56448\n65304 67582\n73073 75300\n4565 17214\n43619 51848\n17755 84985\n39438 58971\n45253 75598\n5517 84227\n43866 85251\n24967 87433\n9605 25151\n44506 67213\n18000 92245\n43480 95830\n39107 42572\n3995 24562\n2116 47826\n33696 68024\n27872 64072\n3402 72556\n46799 56461\n9511 13720\n29700 47176\n24587 84290\n10142 80040\n19124 50106\n33133 67468\n20791 76377\n50830 67500\n91012 97350\n51637 52521\n49373 70024\n4978 38885\n6675 40110\n38646 45942\n94149 98024\n38793 74735\n2817 78332\n26373 40659\n9292 93614\n45543 82232\n52142 65723\n24664 44243\n3371 85459\n13098 99759\n36285 87724\n56492 84766\n40316 68149\n29752 59227\n34723 48549\n843 38781\n113 65747\n60906 74216\n87623 97603\n44087 98306\n41963 80734\n41459 56116\n53817 96957\n6869 49596\n33061 80523\n57703 91796\n40738 68080\n6098 8678\n32415 84102\n17068 77497\n49880 78270\n20059 23377\n10579 46988\n44493 63161\n49050 62280\n40576 71450\n14199 37991\n21060 77997\n13788 36755\n67208 87342\n1458 58620\n3629 55021\n1886 39678\n39456 93491\n46752 79558\n63424 93235\n48342 57436\n14990 26410\n57925 83216\n52654 55669\n7983 27625\n28419 88850\n30883 66223\n41082 75392\n47196 47651\n9617 75195\n39457 54297\n50950 70048\n78896 84202\n10234 28923\n3231 75947\n39197 86872\n3738 41093\n1943 65210\n41083 81163\n63446 73086\n50717 80924\n66925 86942\n42456 69335\n23218 85645\n41341 81306\n13610 38647\n38812 48149\n28311 97224\n30907 69639\n6652 24017\n17242 51922\n4589 88088\n6761 52773\n2056 4268\n7637 52981\n47841 79354\n30719 41939\n18380 69633\n3931 52658\n4514 32633\n5144 76782\n78390 98333\n49737 50426\n53839 76555\n14425 82405\n500 65763\n2383 21709\n18731 89157\n35220 66413\n65506 69783\n78192 91284\n39992 98755\n17862 19954\n20536 58150\n1651 21123\n8941 58721\n11791 87912\n24249 24727\n58369 88565\n17888 67717\n20484 44350\n18984 23451\n39054 88400\n13667 45862\n35588 63087\n4777 54582\n74538 87819\n2334 99285\n52532 90221\n61412 84159\n67474 83221\n34796 81991\n53520 92197\n46248 73226\n51368 59428\n61817 62475\n50405 59101\n23273 37071\n21202 81438\n15719 69331\n16991 87915\n46807 95225\n17249 41600\n42347 55184\n18379 37892\n8838 80523\n50538 73089\n90994 92877\n76395 77585\n31102 33245\n28372 86355\n10818 66902\n53358 91747\n26685 44387\n41262 90198\n16528 45123\n62043 70816\n37514 43625\n51451 68749\n4070 6679\n39003 61346\n13527 86996\n72997 78754\n31604 35413\n78734 97657\n6748 28971\n15562 52064\n5291 78388\n42748 59562\n79525 88808\n4194 77700\n66556 74893\n90028 99655\n11412 55400\n26342 95673\n16908 46308\n27341 63102\n16143 70588\n32057 50740\n2771 48997\n7205 45229\n68965 90302\n85482 85838\n51203 87580\n87259 90198\n44802 53987\n69970 90110\n13328 89879\n9641 72546\n11246 35119\n3032 24541\n60741 82297\n14492 39247\n7077 65783\n26493 30437\n64064 78936\n42250 77110\n16800 52317\n90923 95590\n39519 89940\n11848 87555\n38095 51126\n66086 84207\n37936 75622\n24392 86902\n13652 81663\n24416 67877\n4617 55859\n63073 73725\n34988 42720\n43902 98090\n9818 12624\n48943 83279\n59427 84574\n56051 87193\n50914 64176\n14452 58132\n71700 73315\n25637 59635\n59225 63976\n34576 69117\n32251 78389\n20447 80782\n4452 34348\n2777 20955\n11388 17187\n18589 32489\n19085 21268\n82421 95151\n7225 37903\n28735 59348\n1495 85675\n53843 99572\n29844 66420\n3105 8976\n6852 13611\n35025 86398\n5403 23467\n26117 68865\n58061 64727\n27318 86345\n4150 74021\n12885 28764\n56304 70228\n14769 18358\n6894 43994\n17645 40960\n46592 82343\n15294 93895\n90955 99003\n11858 90340\n18383 37413\n23239 83924\n73131 96983\n31695 48682\n37627 83066\n9500 78050\n15681 98342\n74755 94746\n48621 85316\n64240 94271\n59158 67570\n61897 87189\n20640 95092\n36043 52245\n16185 71444\n25902 41058\n36331 86705\n91818 95937\n14962 51902\n4357 49487\n52536 77383\n6564 81469\n46579 77799\n77878 84417\n25677 71094\n2366 25576\n22832 76487\n51548 87674\n16602 76513\n31902 61068\n21333 78043\n42022 77428\n1538 90904\n11517 83714\n34027 69941\n2546 51430\n69494 73676\n80255 83499\n33204 98149\n19329 57730\n64685 93832\n74933 92488\n4781 7453\n84193 94376\n8991 50539\n28829 72541\n18422 90023\n13267 68008\n25876 48757\n44183 80556\n39924 52423\n60974 80958\n44774 82758\n30936 68528\n32608 48613\n7308 56896\n51350 56857\n31741 47554\n23430 48283\n97896 99096\n6620 19947\n59217 93631\n4014 52785\n23711 80981\n68466 84467\n29165 82911\n3203 29939\n60681 65662\n25234 34221\n43419 81233\n48804 90099\n38863 84469\n20021 22392\n70297 83428\n81495 91291\n30715 86323\n1082 15618\n2106 32955\n28408 72694\n9425 73688\n49062 70956\n65425 88167\n22185 47893\n23609 43330\n36337 86609\n9101 44722\n57167 94372\n21107 84417\n57862 73120\n75666 87040\n30002 84521\n30410 67707\n46122 94116\n15043 75842\n5331 55573\n41489 54856\n24436 26687\n68645 99656\n40178 90517\n49705 97032\n66934 80465\n92957 95522\n6282 87130\n13373 64446\n45764 99085\n17180 33357\n71448 79822\n19951 32174\n49837 87706\n32986 36477\n72721 94178\n10464 85617\n12165 77313\n22486 69859\n67827 72099\n66654 73617\n11695 56695\n68391 72682\n32534 65013\n11371 78857\n3737 50949\n31276 59493\n58187 91387\n59357 74777\n58642 58711\n57115 83900\n329 79653\n6925 71745\n37301 43878\n37634 64447\n6816 70630\n73559 96368\n52377 86375\n2109 8510\n36930 88897\n17563 65634\n6309 66263\n24494 83207\n15755 36485\n1458 39344\n17786 42094\n21749 53366\n9776 82629\n1343 83938\n19301 92356\n82407 87253\n90253 95679\n409 27735\n27236 39003\n29406 30720\n29180 70255\n44959 74255\n34895 90280\n10249 96089\n36197 54250\n71521 92430\n27223 96328\n48435 53658\n41534 72228\n60815 69420\n45954 93493\n48861 90909\n38212 77883\n15072 58564\n5314 82454\n37988 63490\n40278 57155\n49420 65457\n17785 32011\n7105 36312\n34114 85483\n9887 21945\n36392 50791\n78907 82048\n2598 50721\n6601 81175\n52842 61194\n26602 57890\n33291 85221\n46255 56398\n8224 93521\n49642 74572\n50653 89153\n50838 72368\n80771 90405\n21685 90037\n39636 95280\n17392 82088\n18250 80353\n47260 59210\n2765 21204\n9574 42771\n1729 3224\n43073 63697\n44694 88643\n19485 58846\n48685 83486\n18345 67445\n55125 58186\n2952 86735\n12182 61938\n14942 27355\n62948 88993\n40027 72007\n34341 61544\n23717 41113\n48274 96604\n42686 45817\n7032 9163\n64385 87562\n57196 80556\n10853 28342\n46466 90606\n19540 97679\n16737 97597\n6628 93272\n30019 61743\n1708 78423\n10825 75583\n16855 84973\n42917 55450\n18303 54090\n48015 55039\n56345 61784\n63434 80853\n1938 8071\n30729 79251\n94162 95856\n21476 67659\n28192 70305\n33874 42869\n30498 70050\n41610 87909\n68981 69545\n57876 96144\n91316 96389\n35039 97680\n5627 75708\n67065 95032\n59541 72115\n38893 47989\n7692 28918\n46426 85607\n21283 82594\n76888 84084\n83948 84632\n8888 26566\n4061 86117\n11263 24588\n11317 74278\n8597 58574\n88286 97939\n48092 86731\n50970 71566\n17803 28306\n41203 71655\n48243 87598\n72279 99703\n31948 54970\n1522 21772\n49229 63854\n62034 87448\n7700 27488\n1245 8988\n9316 28464\n43436 64587\n20427 45790\n43417 45240\n37056 40154\n49093 67434\n51522 77608\n46668 83828\n30324 73994\n58036 63557\n19713 25951\n53211 71946\n42899 72132\n53924 89892\n9929 94077\n44525 54478\n78691 83860\n4218 68248\n29611 62312\n16334 32805\n22838 51364\n34494 36934\n17709 26967\n20167 50759\n21328 77961\n42936 51700\n26637 52619\n30037 64907\n22842 26203\n20306 51792\n10430 58812\n6423 89781\n8657 95886\n28586 84988\n64035 98954\n25482 33126\n89538 92338\n34197 66612\n40227 56292\n4014 89940\n62215 63511\n8068 61589\n2538 24313\n20189 55434\n9509 96359\n68650 75421\n1532 63422\n13346 79880\n34000 88941\n26948 96061\n8216 29667\n21402 57107\n88479 98790\n9303 21151\n41550 79638\n31294 94218\n20158 21279\n56979 73102\n12245 63606\n10434 13850\n12330 56007\n33968 55097\n43713 89788\n31941 85031\n6046 15008\n20853 36024\n30190 88173\n11225 57176\n8549 13609\n27786 65872\n16712 71309\n12048 14413\n19869 28960\n28024 49811\n61353 73158\n18481 96117\n17310 98230\n6259 58092\n14278 68442\n1881 83559\n22956 83630\n24048 29016\n51668 92714\n71101 72116\n2281 82606\n8718 95630\n54371 81033\n17803 77606\n20497 68803\n24626 54049\n20163 57649\n45917 51226\n3252 59385\n15397 43579\n29706 80740\n52705 54273\n8033 43241\n5529 32936\n33617 56177\n57340 76536\n20125 68168\n8266 15877\n24693 87963\n3751 68644\n79452 86434\n48880 85671\n12093 36359\n15869 92474\n20323 76581\n59661 61704\n47399 78949\n86382 90901\n15068 19049\n3186 65794\n52524 95098\n10263 12803\n64782 73440\n2322 62272\n87026 90170\n72847 92670\n36571 82100\n57955 58351\n65114 85950\n46996 68948\n43783 66802\n50071 99213\n5235 53409\n24926 40297\n9112 72731\n50169 98994\n39242 99839\n56485 72796\n11639 96124\n17557 45373\n5514 11342\n9689 89842\n43252 59483\n25123 39295\n17453 19673\n39481 81704\n15933 65957\n18486 74408\n17916 92956\n62741 76719\n2685 84984\n36629 91172\n8796 38978\n59155 83418\n65392 68544\n2410 12595\n3240 73024\n34119 56210\n41660 48821\n17170 61706\n61529 95810\n791 87874\n8523 58420\n10467 82212\n41086 66048\n45036 85708\n49993 74046\n67703 80148\n335 43729\n20845 93460\n39417 56765\n19574 73995\n9426 77933\n5695 15265\n35969 94879\n29691 79200\n4167 68974\n15830 65512\n8234 30955\n8214 40164\n57619 75204\n65863 94819\n32274 79370\n12904 79769\n16407 82738\n2467 30046\n19337 72174\n32345 77106\n52733 68250\n38991 47668\n74258 78120\n11559 95562\n52225 96282\n85378 99216\n45984 52566\n6903 16977\n32402 81648\n41020 98399\n46608 81630\n7032 44844\n20162 57161\n15803 28448\n5047 10041\n83031 83341\n42052 77749\n41158 55394\n50465 70491\n71379 87195\n21529 62626\n9178 52835\n7502 34403\n7906 61902\n14156 75603\n735 70112\n37953 69138\n20158 23916\n22706 53650\n14136 26224\n79916 99280\n19130 32254\n927 54705\n278 91597\n44923 91351\n33312 82715\n28059 56740\n30646 55298\n11828 40331\n9328 14056\n76138 92955\n49610 79772\n46404 48566\n9474 72558\n15169 24605\n9706 32753\n15516 20058\n35649 68472\n29718 83954\n53727 80336\n5518 68221\n20169 42069\n57315 96951\n36916 87353\n451 79536\n75949 82991\n77517 92393\n7707 58317\n21888 96264\n3965 82024\n74322 74326\n5958 21819\n24891 43664\n38022 64978\n56667 97725\n49287 95293\n37339 60045\n26208 29278\n34872 36095\n9922 51661\n20602 76062\n16119 97628\n13243 87338\n1343 46846\n4104 95644\n79453 97970\n16961 66304\n16355 60085\n375 90957\n613 18129\n6744 90932\n35718 44573\n77980 81308\n43103 46535\n21169 77330\n3450 93910\n26550 71160\n43670 65087\n83062 86359\n25868 35704\n6475 21242\n11542 19241\n44651 49892\n70641 87599\n44089 95969\n15353 55555\n42443 84210\n1980 36790\n61609 69346\n21093 57861\n6234 62386\n8396 70705\n21815 95086\n24248 90098\n49464 91828\n43390 58779\n73149 95644\n11528 80324\n3460 13501\n23693 36304\n22817 68520\n12384 66454\n20754 78402\n33870 57550\n44140 45763\n9577 21262\n13157 92968\n9707 60667\n47755 68305\n22147 62535\n18379 92231\n26140 89745\n9262 62204\n56967 81114\n29969 49745\n4115 60419\n1496 6001\n3257 92752\n36434 64907\n8867 14421\n29066 39558\n63355 71454\n6839 12485\n40641 76764\n64280 77841\n90891 94531\n14577 76998\n19765 67134\n11242 44034\n14110 18311\n22512 56688\n30215 54254\n17830 30149\n85078 95026\n3931 36946\n3906 73207\n84361 92965\n51244 76931\n65055 96655\n27584 90454\n27698 58691\n40836 57681\n13455 73080\n31827 68023\n3346 66854\n65750 91941\n68267 72219\n35458 81167\n88143 91616\n14339 62032\n20747 47418\n62503 72398\n30351 83156\n11132 40613\n11311 33739\n27057 59829\n43313 48165\n35420 46158\n6012 81898\n70902 83330\n11583 62060\n36046 84307\n19993 63631\n62211 72139\n3054 8431\n23675 55569\n20351 53875\n9102 98638\n48425 67925\n13922 93048\n24876 33719\n38162 89398\n10515 68457\n5850 7322\n32346 57490\n52139 65446\n19689 76446\n12774 58860\n25843 36476\n19406 41792\n42837 55709\n41726 73875\n56299 77617\n64007 90562\n28342 94182\n57112 68185\n33164 78224\n15641 86278\n16883 45271\n62986 63291\n38096 96508\n57790 81664\n24911 94586\n36021 53998\n44329 97817\n22241 47385\n44279 74034\n23028 93331\n26849 43740\n37685 77188\n16985 30622\n67423 69049\n39890 81458\n10643 38521\n11109 92948\n67458 87305\n15754 21258\n65777 86180\n33138 67309\n41280 61976\n7012 84141\n43940 84574\n43645 48279\n57394 98240\n21499 75869\n1181 74373\n32307 63111\n11468 92794\n73136 75219\n64119 96455\n37017 44191\n61661 66484\n44929 76903\n52355 62663\n42361 54470\n6644 35305\n32827 95314\n47143 68733\n29987 33722\n3908 57115\n69523 76851\n43097 55644\n8232 75126\n20287 48173\n19558 37924\n21505 60386\n21075 46944\n6894 75452\n69502 95628\n47526 79454\n5739 39966\n28941 75867\n16483 69156\n58105 63867\n19865 78422\n51304 93974\n24002 24127\n72480 96392\n82014 88579\n12012 93142\n54116 96251\n73072 81707\n25354 62646\n25112 30203\n48188 71760\n41012 71064\n64314 71974\n46550 94927\n49625 80576\n33909 53563\n52344 96799\n15289 33078\n11323 72097\n6276 96066\n23778 40310\n63388 78700\n6791 63128\n35585 93927\n65771 70421\n17119 37550\n60253 94780\n47115 48328\n1242 69438\n40986 64477\n21009 55295\n12880 66300\n4315 72308\n12987 26047\n2663 93921\n21010 96929\n12196 22634\n7855 75327\n77404 99112\n20412 84938\n63756 97694\n86935 96078\n46542 82367\n60033 99719\n17592 62597\n27662 46146\n20758 20976\n21148 51635\n4798 15256\n25506 33262\n13783 72100\n57588 94577\n11452 85153\n70513 83499\n33649 97160\n39462 46128\n16120 40156\n83909 97260\n96254 99985\n39442 64616\n14795 23867\n63876 71911\n47687 79348\n23504 98387\n28577 57454\n27130 69401\n3228 54156\n57939 78224\n24559 32677\n30038 87843\n53776 73413\n49349 97898\n22511 79865\n35068 48693\n22583 81931\n47615 68047\n22363 42071\n74913 79215\n63523 74650\n15406 83235\n41478 53128\n15563 22610\n28303 87459\n48717 48898\n53544 59512\n63752 79841\n60478 85158\n31520 70624\n43289 90751\n40105 98875\n47765 55511\n40348 62125\n20903 64193\n17506 34790\n41901 61795\n52527 68514\n51757 91593\n37720 95645\n27243 42687\n21707 27484\n13027 49980\n7552 18094\n11372 26931\n44858 56568\n61111 98893\n21758 71945\n43294 93630\n49389 85490\n40245 75722\n20876 51810\n41263 72002\n35927 91671\n56734 76223\n6951 20677\n69064 79153\n1802 85295\n9626 17698\n19353 70374\n18461 53383\n45534 50233\n48150 48215\n42372 52083\n54668 68015\n58647 90041\n36138 83978\n16765 43024\n44678 50291\n13893 71587\n10674 62878\n32285 93490\n58146 89624\n73808 87254\n19942 31083\n63843 64653\n47945 50297\n5693 35379\n26525 77611\n47410 67602\n8446 13096\n29235 66684\n19847 56243\n32475 63692\n19321 38302\n62000 86448\n82376 91704\n55692 67303\n3857 56535\n8111 98900\n20974 97903\n10580 41252\n35049 54443\n18491 70347\n29711 34592\n39339 88938\n11493 53358\n23951 69578\n23497 27663\n17210 53561\n37138 54401\n9576 25676\n47669 75605\n14462 37248\n23165 66436\n28008 31429\n64881 86018\n45279 53190\n66706 70269\n24791 39405\n8815 64719\n69537 85625\n77937 92843\n42244 52483\n20541 74300\n15406 61548\n11625 26084\n13982 18342\n17606 37978\n11854 27344\n42853 65808\n18728 88034\n24846 52729\n14640 45023\n30550 53497\n22114 32170\n23750 83935\n51863 94166\n86783 89363\n64586 73087\n28322 71285\n1123 60157\n58288 97895\n29861 97923\n4952 27359\n20526 74910\n86665 88673\n16206 44419\n74973 85506\n14553 41213\n25452 74087\n18971 25819\n56251 67809\n21119 83789\n84420 92991\n16796 34598\n15744 19194\n12963 30249\n40510 96292\n15698 92014\n29062 66390\n24385 83305\n92853 98125\n55615 73731\n15931 32409\n31165 31444\n80495 82879\n2773 63879\n9606 84753\n29745 96793\n56605 86965\n33512 94995\n28636 67403\n36151 63578\n2211 91356\n11403 52626\n80649 87560\n1161 89913\n60712 89167\n4731 11894\n78950 92374\n16640 72660\n23628 60458\n805 65824\n5957 30610\n5253 57395\n63682 93846\n33015 82550\n35058 78464\n32510 48998\n23443 84889\n58220 87777\n41196 92752\n7439 51544\n37686 43084\n25045 42614\n3541 96769\n31721 43337\n19099 53593\n48944 89981\n52208 99303\n62570 94783\n5129 71593\n7653 53605\n26000 62918\n7804 97559\n31459 87431\n1038 63430\n74100 96946\n33503 71342\n41528 95238\n80604 88515\n41244 43156\n69306 77403\n33512 84909\n67370 91904\n52160 56186\n24156 35457\n69567 87239\n29971 71368\n27299 99322\n21243 42375\n14644 32538\n55561 99857\n32753 51314\n38736 75486\n43841 84056\n2134 83988\n69263 90661\n42555 67084\n39007 85505\n22957 48453\n8587 81006\n2512 76987\n48643 52173\n17390 19474\n5672 91883\n10067 79898\n45574 68575\n31512 60630\n70715 74130\n3939 47085\n7940 23855\n72618 73253\n214 3177\n19011 98544\n19577 78764\n42097 53744\n64047 84222\n31345 67035\n23587 38639\n13581 20423\n11244 39559\n764 22021\n64130 86975\n23847 64138\n25528 41063\n33956 66436\n25684 46161\n79337 90577\n22353 22717\n6306 27305\n49496 53596\n8091 74232\n8974 33755\n87035 88300\n6877 28834\n18736 25396\n25139 30003\n50368 59014\n22472 42651\n13663 61770\n46290 98429\n74740 86208\n81760 82493\n16955 38592\n12938 43586\n23731 83303\n38076 86908\n62011 66984\n6875 52290\n6303 40230\n19675 93492\n29831 72301\n41956 62072\n54434 72618\n38863 84546\n51560 61083\n50954 71218\n23077 99004\n37757 49922\n23164 74259\n16224 55422\n85638 91041\n32881 40276\n33568 87380\n23939 71530\n41466 92100\n25675 79174\n33574 34591\n46387 59197\n79181 99738\n39798 84951\n20238 95264\n30748 63158\n55715 78623\n28887 57056\n28885 34034\n20225 78630\n64482 98765\n51766 90643\n23775 57596\n57733 77873\n57431 91761\n65916 92509\n71494 96153\n62310 75160\n5678 45912\n13785 35409\n13859 17893\n4505 65284\n106 92334\n18995 25591\n23261 33284\n33272 35793\n9672 86354\n1392 93004\n7126 94327\n10109 52048\n25494 54022\n8561 81915\n44228 87744\n79522 85157\n52124 62444\n36028 53053\n26577 37390\n3075 96558\n72271 78359\n85813 88716\n52677 83914\n24407 56160\n7177 87350\n18499 35591\n73292 88226\n39053 83685\n37933 86190\n57404 60470\n37473 55086\n5751 99281\n3347 33674\n30703 96742\n561 4029\n63599 85863\n7582 9623\n12015 84006\n10693 83104\n36675 73691\n34092 83950\n30229 30744\n33198 37013\n67760 81104\n17202 30027\n11287 61208\n11583 36587\n47807 72261\n5162 95811\n33527 87916\n10631 26000\n78485 84480\n68015 85840\n34168 70894\n20238 53829\n5069 34234\n13886 62297\n51102 77484\n54603 60260\n24290 75279\n28600 60901\n82795 87390\n81322 90920\n19201 65456\n34287 67321\n31314 94887\n23921 80088\n8942 67834\n72145 86845\n24769 63001\n41232 60660\n1346 47281\n30525 81470\n18088 53693\n32975 83720\n51203 93872\n16127 26387\n14161 92252\n12263 90818\n50728 80459\n31394 32039\n62125 74715\n71257 84956\n30785 51786\n4716 47902\n33871 70826\n56243 74500\n41652 61696\n58892 86039\n35102 48934\n23515 94731\n55862 60766\n15467 61955\n52690 97676\n45534 78741\n46685 55445\n4802 8720\n57319 78923\n34816 75590\n15030 22271\n14502 16871\n35484 77158\n60894 88268\n35590 73104\n22058 78880\n54092 76505\n65777 96478\n1145 66169\n14834 96880\n23578 90586\n6012 78623\n58054 88336\n6260 46108\n60430 87086\n44169 79329\n38210 95086\n7918 72997\n27928 83500\n52782 62535\n5825 47100\n15058 63872\n59596 61238\n71598 99051\n2747 5972\n43008 84232\n31303 45141\n41438 84381\n15762 28654\n56535 94735\n73826 92216\n7610 51701\n46237 94444\n9757 64438\n77177 96414\n66525 91971\n68410 81968\n46311 51650\n5851 54785\n47532 59073\n13062 80628\n75264 80508\n7062 20733\n18219 72489\n17033 25596\n13655 26857\n30241 50158\n49179 68601\n19606 40241\n2638 35530\n7956 55798\n685 71044\n17957 46686\n31572 60752\n52240 61275\n32776 78895\n16300 37484\n31449 40524\n29683 52649\n1331 54248\n60728 87013\n10361 97304\n78894 80056\n28458 91845\n29981 78440\n46672 73976\n62039 99148\n19561 67589\n22703 86978\n18748 74855\n57560 64104\n65006 96061\n69743 93653\n17159 51284\n54043 96716\n15947 39956\n19789 61615\n83456 97792\n68364 69202\n70798 72187\n10282 98701\n45568 68576\n25680 27872\n29475 89330\n69624 75912\n10636 84448\n50209 54655\n16643 98136\n22818 33375\n20320 51881\n13177 96326\n30102 67684\n41294 71749\n49886 64352\n13833 40485\n4912 39970\n8696 87700\n37692 82311\n21791 94687\n39601 42672\n36911 55296\n54493 60299\n10414 36940\n42443 99920\n57533 86590\n47026 77129\n20496 61184\n53323 54633\n17240 87209\n27051 69035\n67242 91578\n67606 83536\n3303 93930\n66584 71558\n18679 68963\n86612 90503\n7322 8607\n73819 87287\n42136 90448\n33303 77460\n22822 30604\n43805 61535\n31894 74198\n26208 39490\n1669 58227\n13678 97676\n9430 88312\n22591 38973\n26525 72300\n1311 80129\n11084 75603\n6855 81824\n25015 88178\n21144 90755\n69727 73010\n65403 70367\n18975 93960\n33577 64854\n26525 63359\n51056 68427\n37343 55149\n38257 69295\n45756 59650\n3716 49023\n18673 40002\n74611 91476\n79884 89052\n65673 66071\n6617 54810\n20005 78274\n42793 66508\n6089 16388\n52250 85119\n8011 17471\n16878 75387\n8210 24411\n23396 89928\n14328 85642\n7169 33068\n28349 63728\n40587 72844\n11258 92231\n23625 51466\n52697 90964\n53784 73977\n58729 65837\n28726 81713\n28800 95008\n43581 63442\n17112 45706\n60086 76811\n52400 60459\n8337 48422\n18651 81573\n7211 98008\n76263 77759\n61871 83966\n59016 97247\n57890 96993\n21595 61515\n8300 11429\n39908 70587\n28531 89278\n4904 99066\n69970 92964\n83269 98465\n14363 52736\n30355 93267\n47414 66022\n23108 46459\n52610 78107\n38102 92381\n3868 98632\n4398 54525\n7190 95797\n19424 64781\n19746 66898\n26164 74435\n18229 91106\n46352 54270\n6898 76191\n19013 81262\n8994 96533\n5161 15139\n52235 86107\n20032 45144\n54009 96624\n10004 78631\n27803 86852\n8835 56922\n1354 17688\n25945 72231\n8863 69305\n59589 94781\n22413 74023\n87882 99571\n74221 97666\n18665 94237\n8029 17989\n87187 93191\n58061 61865\n17340 57139\n6508 18825\n2024 8979\n11547 79667\n10997 37995\n64544 68566\n36939 41545\n10336 39316\n35859 95228\n58446 90333\n21084 89591\n41935 60015\n15366 48761\n50286 92528\n62043 69107\n9773 59949\n40519 67027\n72812 96684\n64745 65923\n167 89831\n35279 80186\n10062 73743\n33853 93477\n21800 43994\n9578 56833\n59880 61888\n43201 80867\n13279 40798\n15070 41322\n65401 93268\n22698 95575\n38056 39697\n15686 33159\n21015 22366\n2524 32970\n48025 64810\n14055 37741\n37807 43384\n73754 80319\n73564 99399\n7607 81013\n75524 94113\n69445 72137\n4554 27703\n6899 54927\n2404 51222\n81186 86738\n21982 89700\n52869 61230\n10288 25125\n10300 40123\n23684 58847\n16104 67952\n7729 63445\n22884 72952\n2327 79043\n60204 81843\n1540 90571\n17549 84332\n77367 82143\n2620 53577\n3050 48827\n57340 87300\n7905 74936\n52259 68902\n13539 25464\n20831 89030\n11441 36072\n27766 55947\n14287 47696\n56150 78495\n6595 40154\n33956 67560\n41430 43643\n3211 69608\n66681 68804\n53454 62964\n72747 84632\n45634 72823\n20778 95917\n22930 89043\n22066 59359\n81456 82244\n14641 59838\n64982 75492\n18073 29133\n14112 72895\n66097 86675\n17254 47632\n9562 38143\n65428 89536\n39535 60011\n4058 42393\n61367 82026\n24214 85869\n31457 33103\n14066 40673\n3165 11082\n23824 61051\n88293 97469\n13780 43372\n47432 82119\n1535 52525\n31709 32283\n67729 68686\n31149 86283\n10990 85330\n57394 86947\n72614 80672\n55471 96473\n2386 8633\n26438 31044\n20138 23262\n27287 94239\n20269 95783\n55200 83090\n53851 68795\n72047 87046\n18110 48163\n42737 86133\n41422 88243\n16354 94185\n22390 61273\n18650 23898\n23070 83090\n12566 12967\n55606 95260\n4183 79466\n13466 87629\n29998 34101\n7279 23194\n12358 65144\n65595 74409\n35912 85172\n44788 56099\n1086 97434\n2926 15353\n33634 40203\n5070 69639\n6774 53007\n66497 71600\n42085 79762\n1452 58880\n2953 60036\n53417 83437\n24351 93914\n84831 95514\n19935 82169\n24409 93024\n55475 89298\n34199 55173\n49471 80540\n39088 95619\n60162 64618\n7861 53864\n77326 94619\n86112 97403\n71507 75924\n57350 80923\n48658 73446\n42203 53509\n75424 84488\n29185 98418\n41434 69605\n19715 53420\n7425 78923\n15062 16829\n52378 95780\n38659 92616\n22587 52717\n18550 28393\n4621 56303\n31367 48305\n11158 19427\n3299 88595\n43460 94024\n17394 27413\n80583 98389\n48617 90810\n67347 94627\n8839 70066\n39000 48822\n4039 76334\n38129 67857\n22796 78594\n36804 75970\n34632 72095\n71237 85501\n72931 87823\n42962 62195\n6718 62349\n21179 72381\n24166 47577\n64478 79296\n9242 94365\n46751 89878\n12956 18397\n40729 55712\n28760 71797\n58486 91090\n8677 72878\n5317 92545\n81307 81775\n47885 60397\n56703 65768\n76300 96655\n71494 87591\n11584 87055\n46782 64738\n6564 65095\n47057 89761\n19108 96990\n35787 91368\n15932 28172\n57494 64747\n1459 6113\n13303 17994\n85543 94772\n19498 94714\n64136 70420\n7731 76944\n39404 87670\n50507 90963\n4515 43884\n67775 76957\n26613 73265\n71276 98002\n25204 49348\n8807 63756\n35814 67189\n17007 46613\n5448 57689\n17017 43345\n17999 50785\n17151 80345\n15154 65393\n37850 55472\n37657 61866\n4864 55196\n37885 75180\n43919 77653\n31074 68752\n14266 80096\n30571 81241\n27766 97757\n12758 32541\n15937 68623\n5550 44099\n53229 72788\n2363 22017\n93 11237\n25583 86036\n73870 96460\n42525 71542\n23609 96036\n14693 73664\n69162 92067\n16649 29383\n2818 48115\n5445 78002\n66092 78190\n32533 52506\n6662 21076\n8028 41335\n15383 64397\n13220 95081\n10264 57437\n38119 89858\n40215 80926\n78239 89590\n7508 20165\n1420 85506\n16027 20693\n54382 95522\n50344 53977\n14481 19891\n6385 44707\n340 80223\n32821 66615\n16586 30859\n55603 91928\n13329 51541\n28575 67054\n44258 90444\n11986 85433\n3707 81780\n1497 75809\n21455 24031\n13237 73745\n4542 84612\n44180 63039\n13503 66207\n17431 23115\n54862 57935\n70989 77520\n28464 66133\n20796 64506\n34083 76364\n14635 58408\n8648 67984\n23884 84606\n49355 51519\n2674 81915\n76241 84408\n6185 29845\n633 56550\n88058 90894\n7456 32126\n24521 35902\n14366 28328\n26837 92761\n50910 81514\n40136 52832\n63686 94937\n7129 46186\n41114 54041\n57903 93039\n62027 82195\n24554 56747\n57397 86625\n83458 99070\n15330 89379\n56825 91072\n5221 83217\n51644 92668\n78570 98284\n21563 26961\n59656 90857\n35803 65823\n17386 52925\n23689 40982\n23048 79810\n24963 36765\n75707 90475\n20233 31729\n10418 11603\n55644 93305\n3607 93494\n39809 97736\n71344 92645\n12765 49102\n1594 31799\n41767 76974\n8 56763\n42950 71564\n82662 88894\n731 6586\n67387 94933\n41908 97591\n30041 53661\n69321 75178\n50213 73263\n56988 87691\n4433 82013\n39840 86495\n79622 80427\n806 88714\n38118 48046\n14764 34252\n23559 48619\n6537 69726\n24884 27863\n42903 87810\n57686 74968\n10945 69463\n73179 84900\n14510 50379\n70797 86063\n6485 46779\n61594 83649\n18616 34372\n20724 60256\n10299 27889\n30336 83384\n64628 95566\n23317 28293\n32380 97067\n48783 61306\n42491 59738\n15127 54586\n8447 25618\n24887 87640\n88202 91472\n28429 43566\n43779 81691\n34837 36388\n84638 97913\n55567 65198\n39538 58630\n32684 51231\n39163 41886\n21307 69696\n24780 41455\n48373 92393\n14145 85696\n14720 33563\n4306 69075\n8970 89178\n80884 95966\n10205 17471\n51323 84381\n7015 61326\n95601 96844\n46242 55365\n11608 32738\n23296 60564\n62802 96862\n14057 77734\n15167 40938\n7866 81746\n72058 84014\n53996 83355\n17059 93448\n20816 42864\n1378 4818\n62846 89022\n6936 24706\n48871 84545\n28846 83561\n29341 34439\n9398 46290\n20311 61748\n57071 77225\n23950 41369\n49557 51627\n25294 70760\n18067 50165\n29131 53086\n2693 6777\n43680 91901\n38037 81479\n49584 82887\n20539 84365\n59946 70865\n33108 57271\n31171 61029\n15089 86290\n30917 41734\n62477 78979\n16787 93718\n14831 63810\n58772 78106\n41904 96271\n40458 67802\n5783 23639\n21009 23047\n42318 99216\n14372 91523\n22361 93704\n7594 10246\n44803 99068\n42892 99438\n14370 42880\n39301 60247\n40177 58612\n25643 29223\n34930 92186\n10145 23132\n30428 60549\n21314 33172\n24362 35934\n43183 46096\n23582 75750\n244 55071\n32581 74443\n60526 97586\n34236 99339\n1762 14755\n47137 73307\n86590 93158\n3921 19633\n88257 98070\n34287 98197\n3644 35915\n38230 40747\n38188 67167\n4147 55415\n43187 49918\n4679 72155\n32453 58051\n49326 90421\n31443 73508\n17507 44741\n39078 86806\n27001 27952\n28885 85271\n27012 52413\n5140 32530\n63650 80321\n22273 88983\n15926 47385\n59724 79982\n2056 81221\n19221 54908\n43599 62511\n28938 36219\n772 20233\n4641 49510\n17130 25240\n45550 84918\n43530 61894\n8303 82805\n5932 6587\n44050 66466\n2051 4868\n10213 59149\n15301 33433\n64161 86514\n61230 66613\n34413 87740\n53800 79107\n62455 78939\n35459 73519\n38674 95947\n13523 16684\n43827 48381\n26054 70586\n49408 68711\n9510 33490\n55784 68409\n53263 68342\n38490 72934\n18260 97291\n39290 68120\n43682 73499\n7410 68997\n56016 74910\n41096 77894\n631 99564\n45230 54129\n91742 95855\n24655 62974\n22961 59775\n29619 30054\n48484 92717\n70398 77186\n7456 78235\n13588 49465\n20008 80985\n62168 86912\n22806 82578\n23068 66833\n65098 73525\n12202 79704\n38763 57716\n28497 88810\n12770 99731\n14452 88603\n31373 55194\n29569 61065\n12427 87374\n10197 39145\n33545 70084\n8938 98865\n22480 44101\n37700 43490\n16294 52403\n50436 80353\n38520 65534\n62118 91941\n14484 31042\n11740 81917\n7969 73070\n752 27743\n59947 75966\n51855 87492\n27757 85685\n50613 97284\n30801 48598\n8974 10943\n36910 66097\n89368 91263\n56736 85569\n24216 62854\n22315 90588\n14498 79146\n25353 63008\n26118 58945\n17698 37676\n19944 88915\n27480 61338\n11342 49208\n1349 54050\n36091 95842\n46956 85929\n18135 64724\n24706 46744\n9970 51021\n81393 88910\n160 7903\n32278 41315\n9990 69891\n43946 52029\n21431 75793\n16253 52877\n59471 83125\n29596 61026\n41741 47465\n20858 99737\n16592 41440\n79087 83375\n4469 85074\n17084 63772\n78662 91184\n37164 58067\n50982 54595\n35079 77154\n39962 97346\n81019 83336\n51639 78515\n33665 98910\n21388 38097\n31392 94824\n56201 82866\n36244 47821\n49325 97599\n28723 85611\n30391 37955\n25497 32189\n41016 70200\n60837 94689\n20677 79227\n16697 77916\n71274 74097\n17963 97849\n33565 47598\n52206 96519\n37204 93039\n78221 91906\n15450 48713\n70911 73636\n10238 18519\n95615 98129\n69820 92976\n37108 59450\n76589 85144\n37498 65930\n38726 52605\n2828 78921\n42705 91606\n4858 28567\n15935 67750\n35875 94539\n57457 77502\n11715 47457\n54809 57056\n5877 35728\n71535 83277\n41668 83447\n17378 17478\n10316 60629\n42907 95108\n11173 88651\n12919 50443\n93776 99779\n22948 83978\n25750 41327\n6145 40155\n35718 84092\n37186 72924\n60724 62200\n52668 73565\n25890 90764\n6310 71775\n41323 71578\n51487 96491\n26933 36597\n38462 41336\n28623 43236\n8029 22001\n32275 42646\n1869 88133\n87549 93022\n69310 81168\n42139 50790\n70637 88103\n1308 13456\n38896 96844\n24178 32658\n27800 68092\n5013 67421\n42890 47735\n19268 36374\n22008 56919\n75259 85483\n40678 48031\n8604 88636\n10757 68704\n5843 27190\n27808 44369\n12292 27942\n9014 43948\n12917 57909\n66003 77614\n42170 49065\n37170 67647\n74704 96810\n80208 87292\n49481 86867\n71281 98555\n13809 86871\n11581 51497\n23863 31579\n75816 92067\n49018 88554\n65659 78845\n93617 95676\n34045 37078\n53291 93693\n7100 20435\n13156 18139\n26688 39041\n20770 26163\n31821 71839\n40404 55834\n1193 69529\n50925 80577\n53395 95965\n24985 29994\n67718 70447\n214 12328\n21807 60394\n40045 94898\n19595 42320\n2112 5877\n15018 62747\n36694 43247\n57567 80543\n22088 27267\n13224 66029\n25186 70112\n3185 29288\n28792 83208\n60697 61395\n39350 89369\n13850 27183\n27038 77473\n13689 70979\n41913 44529\n40941 85368\n49343 58495\n37529 45173\n22426 77371\n7903 44533\n22384 30920\n22821 61520\n26020 29407\n22503 85881\n21879 83654\n39282 74975\n88301 89728\n68307 82684\n13538 78127\n9088 9465\n2404 70554\n36412 85768\n9832 78568\n54763 76548\n65155 71373\n8944 10718\n5082 64151\n73917 86932\n20474 74984\n19550 50981\n9259 13286\n68419 76617\n81151 85640\n10371 71290\n14826 18396\n18747 70338\n67221 82346\n70027 78941\n58224 90677\n6027 12892\n41636 61550\n5276 46220\n12110 39973\n48794 49040\n44698 66628\n18476 80120\n6225 99521\n50894 70009\n12711 85578\n35697 94373\n35113 88670\n7924 63276\n709 39179\n14145 41595\n15007 90476\n38031 92020\n21372 84776\n62241 83475\n64258 73985\n90666 96528\n36065 62629\n34088 39955\n51169 80452\n30051 95115\n64301 77638\n80866 88453\n4543 23422\n85824 87176\n40499 66717\n47531 96428\n17527 33709\n828 64586\n2265 80000\n16820 70483\n38525 51330\n44342 62674\n46470 84392\n49571 80726\n61387 91597\n32262 98820\n11812 47660\n66305 78632\n11814 39481\n18053 45367\n30038 50350\n30772 38859\n25312 84424\n27110 85765\n51945 81113\n40045 98201\n1406 68735\n5723 61089\n37227 70113\n27416 53629\n43069 67436\n63484 90819\n23000 70610\n75553 88787\n6562 26524\n79560 79877\n43574 49921\n27432 82116\n48391 59471\n34843 36694\n27972 73959\n15398 87404\n49493 55998\n76205 85109\n39529 84247\n14401 66864\n43259 81482\n21384 32740\n83994 97101\n12970 61817\n48523 69155\n1576 15407\n18135 80178\n22011 28449\n41531 94580\n2359 26152\n42660 81024\n20891 90094\n11558 89425\n43657 90375\n16908 63511\n28136 76755\n11181 99889\n48455 56606\n6677 58300\n27336 85009\n44049 77740\n34102 90356\n61403 65772\n68637 95406\n4886 60845\n12968 20303\n54649 94126\n35089 74500\n34404 35441\n5925 86446\n23002 60600\n13057 38248\n9754 43486\n29230 30429\n52940 69959\n72117 72442\n32457 82410\n36242 68005\n69792 83804\n11544 61078\n39558 54084\n11710 42676\n43630 66228\n57896 72531\n945 58473\n13905 82662\n20455 80796\n70858 83178\n4003 50599\n12504 20499\n17410 46100\n60097 85800\n41491 62006\n70944 72744\n28448 42034\n49353 82317\n12370 95964\n58022 70116\n16078 29997\n50302 89457\n6842 6866\n2020 68740\n2331 43564\n32669 64360\n50689 54453\n59080 83414\n24883 46362\n60167 73731\n26000 51035\n49103 77737\n58673 84180\n55208 81603\n51521 51734\n47683 72594\n21803 46128\n68913 82101\n91649 94293\n1430 6382\n42600 95869\n9638 57467\n23309 63719\n14161 18559\n45859 76151\n33303 36033\n23457 33860\n2388 11226\n1491 8801\n30422 86404\n28646 95271\n15856 68013\n35916 97145\n34845 91801\n36312 91501\n765 5332\n59546 78482\n82281 92160\n91511 96756\n24622 83823\n81164 88493\n46157 72978\n10890 54563\n9195 39737\n10724 15771\n5945 98471\n64710 98137\n3018 54715\n55362 85861\n4515 62991\n12085 65133\n5063 86451\n24439 36403\n54292 65862\n32940 84763\n39439 65140\n23673 52987\n27687 40840\n10172 53384\n23530 64787\n29096 75237\n69713 92814\n24622 61129\n19982 98355\n1341 93548\n57951 79650\n43982 93696\n47490 99963\n32837 69466\n75389 95559\n17041 67198\n70070 76727\n33801 74492\n36693 67817\n1898 97644\n24687 25265\n52949 64871\n54944 91817\n11050 23646\n15478 54721\n12383 76905\n14252 91779\n37704 57052\n37701 86080\n6954 40583\n21646 36696\n13947 43542\n33565 85520\n67621 83523\n7023 41064\n417 68215\n61592 78524\n17208 47768\n21797 83096\n47985 93895\n16970 29061\n38323 68117\n37325 39622\n3575 34307\n51001 61594\n11696 25782\n20558 88667\n38064 40725\n5752 57385\n45281 64309\n25295 98287\n82793 96574\n6894 24909\n62962 82543\n28361 95089\n4743 18902\n36189 50133\n28949 43977\n72781 80558\n22890 28786\n80990 83059\n18021 36054\n16618 32750\n47336 79989\n41840 51725\n19080 59977\n35607 50926\n28383 62526\n65858 71924\n8694 21174\n51745 73822\n64664 85980\n37871 68590\n56681 71430\n60683 72755\n1640 37893\n7162 98835\n33157 44485\n23179 64255\n44892 78179\n49406 69511\n9224 68098\n32619 91631\n31664 40930\n70480 78820\n22196 27586\n44494 62724\n72935 76520\n70214 79237\n5153 29086\n16132 53261\n8425 64098\n15812 34601\n37264 41390\n27054 67860\n63771 72945\n595 32127\n74612 83184\n34556 80623\n36332 88575\n34350 73605\n1224 83446\n14855 98839\n51981 90423\n31347 76324\n27215 95145\n21372 43903\n415 74769\n90994 92814\n11070 85950\n19436 64582\n11401 50442\n58414 71178\n23357 58104\n64595 74313\n17683 74027\n24413 62636\n70725 74142\n73598 89267\n48940 68704\n48354 72426\n8542 80758\n10291 90145\n42301 71342\n3217 90816\n31590 65358\n66291 84932\n23 63113\n2781 37091\n58597 90671\n59940 79561\n13560 78533\n50845 91846\n50533 88696\n67456 98800\n33587 48198\n28480 47509\n17044 78082\n15470 17129\n12869 71785\n16034 36753\n57235 80359\n57683 78482\n15031 94743\n16202 17045\n45693 73746\n7938 50192\n66120 72632\n30419 33035\n41444 79094\n61664 90013\n13512 55339\n39504 72018\n26955 39854\n45260 52631\n32583 73477\n1704 12636\n5980 95747\n480 53301\n2256 64493\n14869 46826\n59483 88977\n76532 98668\n20734 77536\n59396 63122\n28517 64022\n9190 52935\n17603 84817\n32658 59038\n5947 22922\n64832 89012\n10845 85489\n76785 97561\n10799 34440\n24022 72574\n46053 56939\n15189 60371\n33280 64839\n40074 42889\n1947 67856\n38463 92268\n44713 82235\n82188 98623\n20267 97558\n57720 81080\n14411 55528\n19217 96134\n30085 82478\n1579 89884\n7871 94492\n5837 95278\n29927 68759\n33998 43522\n31561 67621\n7329 53254\n13402 72091\n69670 88551\n28359 35931\n48968 86121\n27210 65932\n37572 92661\n18797 52410\n13287 38327\n36754 48774\n7249 96460\n70164 86013\n50663 67782\n36239 79562\n35979 99450\n41637 91770\n85878 86300\n55037 74657\n47898 50401\n23268 51394\n19298 89271\n35648 55070\n16774 54303\n8059 55536\n7689 39638\n33013 70629\n4926 22906\n26033 36876\n51838 74738\n49978 70131\n37183 38494\n43079 44750\n32728 87992\n33888 87145\n13938 87208\n4707 49348\n45996 77422\n35668 75691\n44535 86872\n57181 85153\n24246 95710\n33626 72806\n18467 79928\n33826 63196\n44792 52034\n7903 79872\n10675 13925\n80643 97995\n7319 77269\n53319 85229\n4897 14660\n1742 12674\n25149 54128\n23284 66929\n31350 43318\n15217 45207\n39228 90164\n11242 46912\n31389 67174\n89792 90139\n38914 91316\n53190 60757\n4631 10970\n72170 87778\n43077 99743\n32039 37034\n45739 82404\n1265 18601\n25685 84614\n53378 72845\n34974 68369\n5272 57638\n71465 96487\n32723 87716\n69554 74271\n31583 46113\n74622 85664\n12676 14084\n77086 79054\n66994 96364\n38649 47596\n52677 90123\n33787 35688\n624 21462\n32472 46674\n34807 97418\n38037 83483\n14943 94925\n56864 58349\n67634 85761\n20429 99340\n55302 94989\n7554 14195\n55273 94525\n1177 97977\n12814 39668\n43112 89160\n38767 88409\n19524 98426\n11906 73760\n13526 83670\n4751 25391\n52988 56070\n62567 88177\n88141 93017\n24517 36659\n20900 82904\n35760 50977\n18923 36315\n12086 84957\n46216 61802\n1936 72569\n47888 53466\n68670 88455\n28225 60618\n71631 78538\n76048 82474\n33426 83353\n2815 79341\n73409 90593\n42971 62942\n19953 34487\n34418 43227\n5188 36145\n48102 66469\n37281 71950\n74707 95809\n14628 46473\n10674 80101\n6868 77565\n29226 98180\n69121 72651\n65363 85868\n1254 61429\n92060 96014\n71438 82731\n31468 41070\n43515 84075\n75803 91745\n37503 88567\n27326 63783\n36318 97381\n21614 37179\n22212 77681\n19063 22405\n10644 93128\n46177 51491\n21168 52739\n18008 27541\n84666 94246\n31984 41379\n27282 31700\n5993 46791\n58320 94100\n26673 90232\n53115 90454\n77397 80129\n19657 61942\n50965 86705\n52278 88554\n93062 96817\n58788 83813\n6464 82354\n30986 38077\n11173 89690\n57908 58107\n76860 85516\n25548 96158\n3829 14284\n43416 96715\n26926 60199\n23052 59537\n55718 86724\n7043 60172\n41121 84647\n5843 33806\n30409 34250\n32345 38623\n1352 1808\n48328 52891\n15712 95340\n27333 54581\n57511 85256\n883 59429\n42895 68307\n14569 38351\n65670 76073\n3347 53893\n1724 61687\n63395 83580\n27860 33802\n6553 99844\n35114 70729\n25501 50268\n53314 90727\n36725 50618\n12897 37899\n7345 80586\n84546 85988\n31872 73434\n7514 63860\n1988 51915\n30229 96219\n35165 79975\n40398 53420\n29437 74935\n5432 76511\n15469 41229\n41917 94879\n55197 59706\n30428 73211\n1495 6404\n30298 69434\n9745 66534\n47622 51136\n42543 42671\n10236 99934\n69951 72610\n62390 79920\n6137 6185\n69954 75873\n94580 98499\n45091 77677\n15133 54850\n3112 31317\n20085 49130\n53093 76399\n32556 96043\n25611 83870\n42811 73224\n85168 87378\n77099 77616\n56681 94669\n47768 84568\n4582 89486\n77821 86760\n23848 25180\n31923 48308\n20218 89033\n65387 88260\n20854 69506\n82671 94788\n7379 56368\n5152 29791\n38573 91515\n32362 59187\n63977 68617\n20478 58039\n7377 20966\n56142 81411\n6798 49436\n93225 98970\n21721 86506\n10933 62250\n37015 52421\n68543 95136\n90467 96383\n20820 80560\n73358 76460\n75886 77450\n6357 23781\n52425 76875\n32622 38587\n36234 87081\n67427 99426\n15248 36027\n24247 76415\n16850 79980\n60334 75523\n61666 90290\n58762 78462\n44188 89311\n31617 65833\n30134 63908\n70485 97778\n54381 84450\n64290 73445\n19449 23898\n26001 65645\n1737 47079\n73790 80357\n54840 65587\n51479 61926\n79164 84778\n10102 43110\n45583 49261\n25958 60758\n4183 22089\n13980 29441\n13834 97100\n15663 30934\n33597 78933\n14558 41900\n53107 66510\n12248 42862\n8527 79905\n16710 18236\n75911 79280\n6093 78996\n67099 73394\n15585 77598\n14072 20970\n27836 99383\n17630 59886\n33534 55502\n68690 91441\n3508 64650\n15600 39600\n11041 78972\n68416 70241\n7885 84963\n93823 99100\n35067 41891\n20603 63090\n26160 52594\n13909 96792\n26700 89983\n15576 25451\n62708 72209\n27315 53637\n4180 76032\n11746 18816\n39235 43479\n18556 51948\n88462 93425\n11086 91910\n9815 37214\n29179 34945\n10285 10343\n25364 88707\n49315 69957\n4599 45327\n39592 96872\n25393 33481\n14919 33192\n75198 75256\n22328 52982\n48217 96200\n32174 75713\n43004 68660\n29784 61541\n36692 99802\n7141 26946\n10726 25917\n41125 45408\n19788 65830\n4337 85880\n13675 61602\n48549 65752\n7542 10471\n24522 31117\n46375 78676\n41734 46894\n38244 57156\n13367 82418\n30288 34653\n27082 28785\n30737 41772\n34583 74673\n7977 31360\n14636 42935\n11023 51819\n78909 81561\n50000 85334\n65663 74099\n527 77289\n35625 37271\n54052 75883\n45355 71529\n21777 22255\n34871 87258\n66465 97905\n20231 41246\n41865 51684\n21470 35976\n36564 84024\n613 91576\n27686 73856\n6980 93659\n13034 28074\n80854 85580\n75063 94334\n11319 86216\n53121 96626\n66495 72852\n69982 85504\n6476 96880\n4161 17978\n21255 90024\n7840 86643\n52304 75392\n227 97945\n7069 37599\n71425 99404\n72236 93811\n7204 40832\n33727 98636\n9922 57537\n29547 91684\n29748 53450\n39921 53482\n3295 95479\n10469 91835\n9241 38227\n11034 17427\n13793 43327\n67580 88361\n1235 88579\n30604 46934\n39531 75016\n88339 89440\n14844 63178\n35522 74691\n45899 64440\n51645 71748\n47972 79970\n20294 90185\n63854 72798\n62006 91342\n18251 21243\n2873 62339\n3616 38632\n197 31311\n38859 92498\n66521 69006\n25971 69418\n3642 11636\n17863 18880\n70579 94537\n71016 72806\n8401 45233\n54639 68279\n76488 78770\n63175 92445\n36568 54476\n68187 68342\n17160 49754\n76076 85822\n30261 92996\n23095 39336\n13165 70430\n11159 37573\n23183 40803\n57189 66439\n28879 74504\n76345 99942\n31790 87079\n33083 64433\n76160 89206\n28054 88819\n86891 89321\n11069 17900\n11152 57853\n89273 91508\n8415 96760\n54018 90492\n31597 45669\n8371 51665\n14678 25022\n62830 65188\n44581 76397\n13743 24999\n19618 39968\n17766 96824\n2335 87925\n67540 98630\n44851 99811\n24269 95549\n34640 39798\n36413 89284\n25267 40272\n13750 72106\n70049 97587\n51028 99713\n25091 97978\n39917 74464\n9622 77763\n20156 67340\n15031 84823\n71214 95588\n2663 8419\n44143 77590\n41 92475\n2209 11995\n8236 51884\n1148 73579\n61779 72434\n79861 91291\n79695 86974\n39719 42200\n34993 91438\n41632 62423\n50071 74690\n15913 63695\n21588 57062\n40209 98063\n17097 59786\n6723 44580\n45582 72761\n84382 87451\n4483 63509\n58586 79119\n58137 75974\n6674 79492\n23647 98050\n26275 72903\n13121 61299\n33937 46162\n29658 98749\n24 27652\n65165 80425\n51046 58633\n544 89023\n63362 73151\n44340 79787\n31336 40729\n23707 24482\n9808 55579\n15408 30994\n47186 90229\n63524 92806\n42829 81140\n34862 43986\n79017 93958\n31866 90810\n5801 87100\n90659 91645\n7882 80677\n28251 73385\n74677 91437\n31581 31915\n34455 65823\n31336 54140\n78395 80413\n41136 68464\n82040 82221\n77968 86223\n41132 98675\n15932 37590\n34212 62808\n32015 79865\n29195 96763\n57775 70703\n26675 95815\n24440 34066\n31461 48245\n35452 45419\n38391 40985\n29928 88025\n7097 72481\n83509 98621\n11522 47142\n14829 79791\n2134 77180\n2697 71327\n56791 92822\n32913 60871\n18901 77921\n73824 73933\n77119 79053\n3707 73217\n29562 43028\n49699 74598\n74949 93006\n58596 97229\n55789 85941\n52881 56819\n39520 44826\n25788 93272\n26047 52270\n34328 55672\n38194 72911\n23220 92841\n79923 81821\n91322 93172\n20253 22323\n70319 91278\n59646 74007\n61209 69774\n50229 61099\n3835 14201\n40538 55961\n24115 79549\n18923 91122\n30008 89203\n7184 98862\n15514 69672\n40835 78144\n21743 24925\n15991 52410\n54892 68523\n5637 65632\n55628 88157\n71211 84766\n7206 19018\n32110 91837\n43589 86479\n62469 85865\n43179 93010\n18190 21957\n13156 89223\n42622 57770\n56843 90037\n54545 86477\n49474 83315\n26087 29072\n20127 33289\n28620 85215\n81151 91790\n4503 35459\n2987 95473\n52966 82223\n15558 86157\n9883 42631\n17284 31942\n73900 74729\n27610 48129\n1825 89648\n10992 71573\n55605 75766\n14841 75684\n75853 82697\n28902 71975\n31746 54742\n9294 89313\n62179 96041\n3729 23325\n32589 82057\n68654 99946\n28366 28513\n37273 78404\n2212 66407\n85473 89099\n9546 83181\n31696 72727\n32686 83466\n2383 57899\n87569 93500\n1264 3438\n2566 38699\n45184 67498\n58922 62177\n41015 47328\n87494 89990\n23962 35722\n48571 77666\n159 23421\n35552 76443\n49312 77490\n18352 98531\n33472 88581\n568 59705\n44033 90480\n30656 65736\n51728 60600\n18499 28369\n12321 72998\n87126 92030\n20198 80052\n19764 43421\n12642 65954\n57813 81515\n5107 12505\n20197 61794\n21939 64493\n30342 55691\n40074 51663\n82557 98551\n50893 71920\n8532 48856\n11151 35143\n4665 76618\n52442 88647\n68494 88862\n12607 83494\n19254 55564\n15930 54522\n5284 23615\n76971 94199\n7763 46050\n512 99132\n78403 95928\n397 3164\n27634 32429\n18385 83096\n50327 53299\n72258 80676\n32348 70765\n51220 52317\n50587 59013\n56631 85138\n158 53076\n51388 60551\n48477 85686\n26008 38165\n12908 41287\n82798 98044\n41823 77996\n18245 85419\n30349 64650\n26815 66598\n19374 90177\n41908 69733\n10579 48245\n28104 79389\n15993 76513\n42922 71553\n64696 83009\n74859 99925\n40809 97044\n21703 54113\n14262 18752\n5892 98393\n6297 92927\n10709 32803\n52996 76549\n28881 94054\n12788 46917\n16075 81227\n36233 55764\n80700 94041\n45363 64974\n39972 84806\n761 67453\n22276 34332\n24794 77180\n33542 86438\n33699 92388\n75193 95663\n38334 63060\n72886 90625\n2048 85058\n53217 61076\n25057 71382\n8597 97286\n9609 26826\n6049 43913\n3928 5741\n3928 84840\n44968 57967\n38471 58791\n28626 98132\n15882 29609\n20522 50689\n14025 55546\n62104 95052\n57015 74931\n14957 57313\n32061 74694\n2005 17039\n40252 84487\n84457 89019\n34147 43670\n9898 95809\n4617 46511\n41282 58129\n10216 43435\n54534 93215\n21163 41487\n16906 36726\n21913 42837\n96760 99753\n16993 47394\n19008 81864\n16993 59200\n71467 93051\n50257 52947\n47848 95395\n2037 69597\n8178 10063\n26955 91548\n72501 91494\n50913 85555\n22561 28295\n20183 49469\n5080 70894\n8902 81066\n2261 72693\n19221 32822\n56428 74988\n25914 38136\n32149 49532\n4702 10971\n39425 59084\n8842 31782\n64460 94540\n23232 97722\n35019 81882\n71670 83112\n33060 77896\n29965 91817\n63067 64911\n56381 74720\n11008 74662\n2081 75094\n58210 85268\n17064 35964\n85535 94966\n27567 69661\n72177 90765\n70431 96640\n33501 98273\n29921 34058\n14809 58939\n43109 90426\n70993 93882\n67702 90335\n18054 54224\n27435 41332\n19723 76403\n40661 65706\n6230 51480\n16174 47343\n4635 77443\n39571 44690\n57220 79670\n40533 64323\n8162 93213\n28703 32200\n21236 35933\n48040 86554\n53815 83610\n33184 33784\n57768 75219\n353 57328\n76681 92836\n22809 26477\n53754 92871\n11224 72800\n15472 70361\n11516 47025\n1530 39427\n55470 57809\n1052 91127\n68811 82330\n42089 78700\n43165 69212\n76542 88709\n11689 14950\n39554 64546\n16460 18114\n30433 54172\n4157 98653\n45642 94571\n83507 93847\n22503 94989\n48206 57188\n14010 84439\n29272 67624\n70047 70612\n19679 27118\n4398 97998\n25515 71966\n44798 69981\n2439 9779\n11713 39383\n39347 71557\n47525 85984\n67968 94984\n6312 58549\n15033 82119\n33519 38931\n15759 33227\n39130 90870\n38201 67424\n49436 99757\n4524 22362\n9913 75321\n8771 10798\n24894 78104\n19775 25811\n82246 86993\n6457 55601\n8533 36392\n68039 71804\n16632 53917\n58788 94511\n30377 37257\n77989 78639\n1234 96359\n22316 64889\n27051 96812\n39869 70159\n44927 84675\n22234 44904\n47910 89661\n13247 39825\n90672 94805\n1162 5198\n3508 26186\n58804 94959\n13172 94625\n8939 80861\n87629 98751\n6020 17718\n23309 72268\n29080 72341\n54380 56461\n6372 30869\n4347 80860\n4597 34390\n11367 79591\n46378 53019\n54473 58307\n57516 85104\n43092 74837\n65216 77813\n40154 91546\n10660 24721\n4374 55948\n9226 97032\n18941 36239\n21080 29104\n28238 80566\n14131 79153\n60359 86898\n54151 57906\n33226 71019\n71888 80968\n29302 88072\n8781 94046\n48515 88433\n19876 80953\n39826 87794\n31544 83111\n20014 43099\n50379 66859\n45867 61986\n2398 40142\n51942 97838\n61345 89921\n3986 88922\n10527 15900\n37703 96210\n70572 84347\n80393 90875\n34628 59444\n31334 37176\n9717 40270\n18972 89566\n17046 48181\n45944 46883\n19117 49624\n39866 64287\n92581 95706\n1316 10613\n34420 95613\n43992 45596\n50685 84011\n36598 98885\n14697 70935\n19213 67837\n4970 71550\n11877 13133\n20319 41863\n19658 62364\n44980 50905\n61102 79731\n63384 78963\n4198 26652\n28233 38306\n26679 84456\n87606 97638\n18140 73222\n27921 70893\n30731 50696\n38205 40467\n13923 29695\n24467 72220\n42742 81375\n71819 82273\n68546 88042\n30884 31806\n94218 95037\n79736 95251\n72781 88191\n28002 91284\n4628 83691\n37143 69122\n68702 92546\n75654 89386\n13142 87857\n51691 75283\n6620 17136\n3376 50507\n45938 56089\n87495 93100\n17923 61060\n13458 34014\n41306 58488\n49664 78924\n14556 19870\n47943 93999\n60169 72056\n85900 94909\n71839 76589\n43906 58253\n32254 35273\n83043 90514\n68573 76523\n73963 81420\n22545 50612\n13008 91463\n25607 61411\n9473 11151\n39629 43119\n4715 59550\n71428 71458\n28496 43570\n9371 20499\n84083 87103\n59843 90758\n33697 99363\n74233 98483\n28663 57293\n40638 61579\n83582 96285\n13385 98556\n14641 64479\n29572 41279\n11949 32105\n42280 46901\n20114 38468\n4636 24470\n48568 69951\n12358 50636\n28429 38573\n6032 8078\n59636 94705\n19091 89500\n75108 85880\n745 26931\n63517 80037\n43727 92699\n49130 79325\n6456 81599\n4451 9980\n9404 70403\n6456 36521\n15618 80047\n50736 72217\n69970 94082\n35233 80591\n26861 27701\n76032 91957\n60458 74848\n19432 79864\n85024 87538\n32422 81749\n8640 11936\n20303 61345\n43471 87794\n36258 90168\n59029 96878\n6443 9574\n9878 53220\n11502 85673\n4220 8705\n79326 94978\n3207 51905\n10473 31589\n13590 62703\n26343 71191\n75484 97873\n654 70743\n22298 86816\n48832 94561\n49056 79555\n17516 21714\n10432 58475\n7656 97581\n82007 99475\n55708 81206\n12050 28368\n29294 96966\n199 47028\n21618 58254\n17282 17664\n15943 76309\n21086 34082\n52638 74355\n39004 72554\n2574 80169\n7062 69592\n79898 88257\n69582 85272\n26902 49270\n5126 47758\n20806 97601\n18121 54771\n33365 62683\n58160 97202\n7107 21991\n35375 65227\n21204 87897\n54659 56009\n68295 77429\n28428 90070\n6639 70208\n57675 96370\n22624 29061\n55113 84951\n22133 55807\n11829 52098\n26258 75922\n21837 36037\n72016 90321\n51614 75036\n30664 60403\n6614 76357\n70613 87664\n7047 86232\n30463 99739\n17593 28168\n70773 70885\n33520 82041\n5080 50938\n10387 52516\n3793 82984\n50646 92591\n26037 65224\n59665 93188\n26940 45533\n81147 85010\n405 30118\n33163 40929\n19761 89204\n38412 44734\n35324 86053\n37748 75115\n13579 68756\n7052 72149\n886 60275\n2637 3610\n78988 96990\n32507 49400\n32031 78179\n30189 59470\n3328 89502\n7181 56237\n54532 71626\n36087 79920\n67246 83883\n47620 94337\n25403 65895\n838 26285\n26727 37695\n18437 77772\n19554 65870\n27751 52068\n6054 80211\n34562 85994\n31342 38396\n3603 58931\n8506 33780\n18107 98012\n44995 95178\n4195 53977\n23693 38914\n4440 34768\n64835 87863\n14237 50705\n68221 97637\n29026 34800\n576 48255\n21472 77251\n9066 42065\n60887 85031\n11732 24137\n215 3488\n37020 60536\n948 41035\n24769 93479\n80355 85781\n28019 45377\n20258 98363\n50886 53161\n5103 49256\n12553 57287\n46851 80572\n30319 70497\n18597 84980\n32189 83792\n58913 78851\n46283 48124\n58000 87503\n17790 65629\n38376 69400\n14365 23799\n67234 97981\n38022 58922\n72214 75171\n747 83898\n72078 93163\n4450 32454\n45044 83435\n51948 71358\n33116 38380\n65884 90899\n21351 66676\n15755 21025\n16606 48768\n61469 68307\n20414 83232\n3107 44369\n58522 95227\n58490 59372\n52458 89059\n44424 77648\n24880 52874\n16092 47268\n69984 99609\n18782 80126\n4265 18318\n68535 81845\n21743 94228\n63241 83104\n22765 43874\n19067 57355\n62020 83006\n66308 93144\n65374 67229\n59344 84326\n3534 49037\n39670 88264\n20230 64470\n38154 71203\n16697 47178\n42660 84638\n71730 92851\n14667 48543\n35528 81174\n67364 89902\n27180 67875\n40654 84543\n26511 35474\n50919 55612\n33183 95297\n54969 84815\n84002 86207\n32480 67064\n64256 98051\n29879 41598\n10747 59586\n9485 33837\n29555 49592\n9424 23720\n468 65943\n1488 52766\n4462 76954\n13761 14937\n76084 92136\n832 76334\n8858 26868\n22592 51967\n8445 22367\n12047 28131\n37904 55922\n67287 93502\n32714 59727\n22877 25734\n236 17781\n59271 88818\n60946 67205\n34478 38571\n31223 95528\n8691 27239\n20218 53847\n9955 46982\n13250 20978\n18364 82545\n53974 97776\n34601 64618\n51801 62049\n4405 95596\n54765 94234\n63888 78473\n17756 74022\n29151 60786\n17043 72718\n10487 67155\n43173 86138\n9973 70522\n4343 92085\n49148 72605\n24779 36740\n45885 52685\n8928 21603\n7523 87224\n48072 87840\n67924 98515\n39757 40953\n44231 55705\n17999 39993\n12173 36922\n54231 81284\n68517 97616\n55794 84742\n4937 17704\n23824 55337\n46854 65129\n77998 81412\n21022 80952\n8697 59593\n19147 75613\n30807 88722\n46610 66223\n55233 91974\n1557 42244\n19628 26515\n16923 22019\n73609 73956\n15105 93609\n1265 75960\n29683 90887\n7965 14252\n55952 71236\n4457 55597\n2976 24663\n12173 92228\n3309 73815\n15512 79536\n20664 96165\n8684 18787\n86632 99576\n18694 38217\n18443 92213\n14097 80476\n11847 12173\n59367 96293\n33600 64180\n26710 43423\n15399 57480\n22393 97119\n63265 92745\n14902 24274\n33435 64681\n14932 66870\n63935 65218\n50351 95334\n5400 56011\n29714 85094\n38259 89184\n70016 78020\n18248 69905\n34366 84283\n27493 64986\n67374 96230\n36730 85573\n8604 66582\n3681 6793\n31322 78115\n32339 64854\n10341 58194\n30042 61858\n15218 85387\n65618 99896\n8147 24828\n68817 91103\n19086 32871\n11323 40179\n35546 72116\n33856 82284\n7500 71959\n4816 39075\n22961 51454\n63494 78743\n6231 8612\n79188 85174\n5534 24201\n77676 95556\n34854 37402\n31679 35537\n33117 69983\n47693 55562\n6670 58915\n62912 93070\n8655 20987\n60137 78484\n63777 68390\n20865 79796\n922 40493\n1999 24078\n11562 75809\n23708 54468\n14134 81097\n74114 85511\n63013 72580\n2900 85059\n30000 38648\n13423 24244\n53033 95787\n10656 92856\n20757 39913\n28987 59176\n17355 32773\n80944 92880\n28503 92968\n74627 86384\n39472 74699\n84960 91294\n53555 95380\n75360 77450\n60742 84622\n2648 40162\n31674 61031\n45919 59453\n55459 98003\n5502 36912\n3951 48388\n52757 58631\n26644 94366\n53428 79747\n26332 75414\n20089 93967\n11122 85196\n39972 58197\n16328 60303\n5428 92985\n49025 69929\n9065 12426\n22652 97435\n649 96583\n78611 86709\n23181 65920\n50802 96693\n79828 89071\n44713 47857\n37280 60552\n17049 93116\n34820 35587\n53765 60868\n48292 52029\n38847 75700\n32753 51001\n32923 71711\n37640 73573\n5465 19774\n12032 50159\n4264 45789\n8541 53559\n41267 70686\n79076 93513\n1586 7513\n10131 34764\n34588 44375\n28339 93379\n8699 11723\n37901 96567\n69526 73723\n14989 73671\n43190 76540\n16612 36143\n36755 75722\n16765 79849\n11217 19405\n19352 31001\n11910 37294\n42095 61674\n47504 50820\n26435 43102\n35230 77666\n3202 5232\n77538 93563\n33778 56790\n4609 67840\n17841 58622\n17808 53022\n31951 65369\n74300 94916\n9200 83283\n40000 71984\n8905 40307\n8526 99926\n49728 88825\n15056 57094\n22023 41734\n79659 94891\n79323 90309\n33108 70338\n16721 62414\n70150 94561\n4520 32493\n26765 51665\n44247 71227\n5433 84419\n46744 88280\n18120 83948\n78710 91371\n21546 45978\n72907 97322\n43227 88369\n10471 40292\n28154 92224\n12314 73263\n56686 62701\n62621 82312\n28039 72322\n56598 68123\n10280 52585\n2148 26327\n11317 62085\n65703 73433\n43246 46426\n8573 47828\n54727 93957\n48262 70134\n50332 99997\n26382 41270\n25704 32473\n80116 86275\n4977 77951\n17753 50274\n41382 42628\n86076 97932\n12425 69561\n21603 90564\n45821 86788\n45922 86739\n10927 81446\n15103 97261\n32138 53610\n75711 89736\n5438 25202\n13698 80976\n3368 49785\n6308 58890\n4010 35222\n21303 67436\n31385 61340\n20240 33639\n10684 62897\n5855 71816\n46504 90948\n29943 61139\n60612 96896\n6423 68045\n16484 38466\n38813 63421\n38396 56683\n11992 16897\n55553 96117\n12895 67424\n15628 99687\n24931 67939\n619 17018\n48487 78810\n30527 40797\n12235 49824\n28924 40535\n89300 90095\n81186 83290\n11407 54911\n12986 40524\n33482 61127\n17007 40815\n51139 93753\n26653 34339\n59148 72523\n84847 97954\n67245 84667\n5469 96676\n38002 91457\n80360 95918\n9500 10090\n35567 40511\n40340 62049\n16501 16979\n14402 44654\n3304 76176\n27327 82309\n16786 68654\n10680 72065\n20136 88828\n14237 17397\n67687 78920\n43822 87459\n26358 78705\n16387 70778\n17655 59609\n63697 88933\n37379 71207\n18533 76483\n80065 88170\n23312 71172\n12019 73251\n34538 61028\n62346 91631\n36328 83485\n23379 85580\n14685 85890\n29171 44010\n28667 71022\n49865 51914\n22141 34005\n12037 47262\n18854 57645\n42229 48819\n48894 63331\n5369 5899\n57050 95504\n22642 86096\n30773 90449\n47662 64303\n21131 68558\n13156 14255\n41104 84069\n38399 83509\n402 63739\n36354 53995\n48424 94725\n44583 74128\n3254 16899\n41214 53453\n69984 75413\n59614 69875\n17765 58921\n44222 60250\n49466 69153\n3902 74121\n13382 87470\n89118 93867\n20415 55587\n47238 60046\n35669 53611\n60820 95913\n44684 73054\n23264 86269\n52933 90080\n26694 59419\n61555 75501\n25494 53327\n25996 56809\n12305 46722\n25410 38932\n82766 94231\n69606 72604\n50124 86351\n42828 80729\n1428 2512\n2797 14469\n32887 92098\n65439 91406\n56246 66289\n20335 58689\n34317 56137\n18974 59413\n57864 80967\n26220 78090\n4708 50226\n14061 56262\n9859 49978\n57805 79084\n45770 49062\n21484 65913\n12811 42428\n21011 99427\n52053 96594\n46313 78201\n53854 93707\n25199 85267\n31951 66365\n66804 88562\n1926 66183\n16866 49035\n19708 28394\n40800 44070\n33666 51711\n9628 17978\n33317 79633\n12580 24911\n22767 33425\n88634 98607\n36615 72592\n60128 72088\n44279 50508\n3139 30579\n71369 87201\n70838 73493\n34583 53699\n6217 13710\n65763 79243\n9592 84032\n38194 82783\n6791 36491\n16170 88718\n65694 79389\n37608 50548\n22352 69200\n21921 99494\n55462 72668\n45928 98955\n56348 58476\n22334 58263\n28202 72314\n70540 78087\n49141 75344\n10704 68707\n42836 46430\n16796 64408\n54291 75646\n1498 96012\n60133 66067\n50818 59281\n39052 69924\n17826 31845\n37115 66020\n12920 70855\n51084 97838\n45381 70960\n58242 89753\n1020 53900\n18096 89984\n38268 74822\n68672 73508\n44264 76019\n25977 97917\n667 37562\n23763 89988\n72330 97785\n20283 33444\n15607 53614\n38473 94751\n43126 91190\n15470 44390\n35056 98117\n46018 51467\n21605 47450\n5380 35701\n49414 75988\n73760 94117\n26333 67106\n3218 74401\n27105 55754\n6195 80147\n66381 99491\n31516 43951\n69744 92047\n27722 57820\n34475 74132\n5257 37626\n45551 76352\n27132 57738\n62202 99326\n21122 58919\n27756 49457\n46153 68585\n58272 82033\n55960 87659\n6643 93579\n28167 84286\n70158 73539\n37121 83771\n22941 80314\n49326 82092\n15140 97375\n22780 42548\n508 15342\n2544 24302\n34801 68042\n2639 37943\n35429 43278\n7301 94759\n1259 56869\n74645 85132\n41796 87155\n7113 66195\n83812 95713\n43558 63990\n9735 29587\n23149 58952\n39721 92633\n26453 85210\n1784 66807\n64392 67208\n72976 91033\n16759 38200\n9529 16939\n48895 96956\n14592 24890\n9739 41753\n39021 67888\n17776 56744\n1676 47213\n4913 61639\n68356 93826\n15889 33325\n4644 29106\n33960 93392\n26546 71607\n57853 74579\n21992 65012\n19652 47537\n21599 94710\n34527 56957\n21405 36652\n3521 50958\n15831 54798\n47934 71143\n57374 92525\n78784 94343\n20069 59926\n9905 26501\n22239 43599\n892 52775\n28623 74267\n15949 79938\n27567 49222\n7556 39575\n13605 81857\n5758 62822\n51908 77538\n73347 91140\n46238 92795\n51840 56031\n15039 60739\n43914 53528\n80273 97299\n34866 54771\n2278 64306\n49117 99079\n25639 37922\n13232 90947\n49406 78949\n2227 67841\n7010 8084\n52365 98712\n10547 49600\n56845 85556\n11753 41875\n6124 61356\n37897 42404\n81068 95642\n34573 38308\n4989 26779\n51797 99555\n68946 86840\n21620 59185\n5891 38251\n780 84065\n17449 30346\n46217 95062\n66774 97766\n27318 77967\n78728 92339\n57114 76296\n31494 63118\n8742 54419\n6304 48886\n29255 76587\n71202 90284\n50771 91911\n49363 73803\n720 9992\n8831 42220\n21788 37165\n49448 54217\n32984 55258\n13131 60105\n16090 98882\n51 96146\n17580 81953\n94759 98783\n33651 88653\n16444 22224\n24030 73900\n1530 52451\n30810 62849\n52303 97187\n34668 91173\n83267 87083\n10669 58281\n18191 33350\n30582 38274\n14109 66473\n72258 74481\n6243 11515\n37069 43396\n66830 90622\n19181 58053\n21350 29635\n64920 98054\n48710 51077\n14704 41596\n23187 55804\n11252 75056\n20462 56679\n25328 90458\n8043 72880\n86965 99138\n19764 34356\n19191 75885\n36942 97357\n5280 29176\n31128 45726\n15952 77016\n18776 91185\n18987 91813\n49109 57354\n48532 77147\n52372 95602\n70956 90859\n6932 50846\n61725 80677\n68333 89244\n29879 60610\n4468 83330\n8298 87822\n30149 79753\n35471 75360\n15475 47045\n81305 97394\n35357 96711\n60667 95347\n37796 67843\n5724 15997\n6857 32108\n6770 59909\n13099 78560\n24999 76754\n83680 91459\n60213 73288\n31639 34045\n38930 96538\n60066 71714\n11298 81866\n36509 49740\n75545 99111\n19820 29897\n52060 58453\n46796 70508\n47829 61312\n32917 59050\n81991 96390\n36286 42593\n21563 79828\n1603 98562\n75797 99723\n74555 78108\n54638 98490\n6060 56528\n11380 59761\n43312 52006\n35530 43086\n21722 47844\n35408 75314\n14688 63252\n97801 98162\n19356 81534\n71894 96049\n34245 73413\n49853 55083\n1601 24727\n40907 65827\n6911 96077\n46296 65294\n50510 87168\n16541 51576\n10514 37786\n19618 46563\n56702 56959\n46352 69725\n3970 67204\n20951 93309\n38010 97812\n43078 45679\n31450 77036\n14076 57663\n19561 91554\n22727 86129\n21452 45773\n63912 88649\n74544 80371\n51552 59980\n38178 81242\n368 33992\n19147 52481\n570 63600\n58601 84426\n11849 84002\n22299 73911\n39211 50617\n19058 33424\n23396 82944\n71883 73492\n6869 49047\n20389 39191\n15051 41789\n56516 93230\n45253 77173\n6948 99255\n46154 94828\n35226 56413\n59576 96300\n10510 32724\n26079 40825\n37244 54512\n35804 63371\n596 82327\n9975 80336\n7384 89909\n6468 79404\n5466 67605\n22368 64856\n78165 94074\n7561 11877\n1900 8916\n42608 67694\n21681 37167\n41834 79153\n11960 70480\n20777 50012\n20323 93149\n11675 74406\n9620 10075\n74922 82913\n83376 98455\n5594 10597\n9713 38679\n47689 50203\n23815 92535\n31005 35386\n62064 66973\n29803 55950\n20912 89090\n60450 84122\n42788 66643\n85248 99740\n57249 65871\n46082 58413\n2309 89815\n37957 72284\n37448 59438\n80243 83739\n71480 80871\n12863 86803\n28057 78827\n9888 27363\n26958 73160\n41869 89593\n57714 61859\n35911 61632\n25572 83610\n15114 65770\n32940 73908\n48491 92291\n41845 59631\n16785 41590\n82637 91528\n38504 52971\n1831 72225\n2562 10339\n27354 76343\n36481 80268\n70938 94468\n13141 16838\n6493 17806\n4895 10090\n20592 80537\n22245 30912\n164 81474\n47341 94869\n5873 33202\n36736 59705\n9132 54274\n48779 60186\n25428 27629\n81835 94051\n52613 76763\n47368 71208\n9098 47602\n13664 19012\n17447 62644\n14833 39419\n30732 52584\n40971 47389\n1363 4839\n21592 47864\n37679 56559\n75156 75393\n16071 23218\n38226 57392\n30149 92383\n36551 41324\n24707 36676\n43729 60916\n10834 63873\n13665 88094\n41221 95975\n70751 72336\n63800 94684\n4408 84692\n8934 46620\n10684 11749\n79249 83805\n21837 54981\n1487 97162\n12748 52791\n69152 89444\n45177 51682\n79744 86350\n17127 46525\n49689 62652\n48676 73594\n39550 93288\n24255 86743\n52988 55621\n87294 92821\n13371 37094\n32566 80206\n24641 66525\n18927 25387\n57447 87600\n12860 56187\n18855 63372\n10532 87368\n43269 43478\n26046 35874\n4901 62486\n3243 5533\n25201 63780\n60293 77930\n33928 40774\n4819 86144\n23031 38206\n31820 44338\n79975 88454\n45859 73850\n33578 61468\n9955 19073\n61755 77289\n4544 15308\n8595 98138\n82810 82897\n15990 23611\n96655 97796\n36313 39157\n15661 16204\n33630 52032\n990 68079\n25575 60873\n23750 72435\n13885 77461\n38084 46731\n16571 45514\n38176 52283\n45446 66338\n7435 8989\n4599 16659\n10275 59207\n75586 82569\n43444 48886\n40893 73210\n6507 99804\n3938 41451\n21812 31687\n3991 75141\n17445 48934\n24483 38115\n59102 63447\n249 92505\n48932 67189\n45831 62429\n15376 17790\n81388 94126\n50955 90637\n4076 64358\n47349 54011\n7668 28015\n52842 90309\n29537 51074\n29044 76445\n23962 48544\n3146 85882\n26061 63741\n38888 53056\n42533 69419\n17085 50530\n65250 65315\n29196 71909\n7862 29955\n34796 95098\n36144 49797\n53364 76048\n47326 67933\n56776 87522\n15732 83232\n66124 86987\n56683 89635\n50184 65769\n54137 73940\n61832 73371\n19543 19832\n10468 23332\n8183 39299\n45494 91876\n20529 38656\n20421 97331\n44214 74355\n35335 48887\n47162 63242\n40265 76208\n78304 87947\n11707 96681\n92494 94861\n63605 90518\n66497 77047\n4059 7198\n18532 92560\n3961 67501\n46288 82484\n26847 47875\n14140 70982\n8099 21841\n31744 50121\n4031 36518\n19107 84402\n3966 53347\n17275 37204\n3529 35501\n39649 92281\n40970 59132\n998 49977\n25547 57632\n42077 61964\n12503 84060\n20331 62770\n18844 77831\n18620 73424\n30707 42376\n5786 5812\n19331 81101\n85249 92028\n39401 54227\n59001 71001\n7478 9639\n19419 38474\n26115 73290\n29876 53332\n43495 96935\n31272 98654\n25597 28945\n89740 91621\n8487 20364\n17133 57346\n11183 86743\n19252 87702\n26388 81141\n15887 84357\n47803 59401\n26618 98014\n16890 25488\n27901 77353\n35063 86818\n18714 51525\n9569 30845\n685 35385\n31337 79741\n44340 70016\n53539 92304\n1931 56684\n50268 86779\n38412 85933\n73283 74138\n5387 22940\n4118 49681\n94779 97434\n15918 97379\n54098 76445\n27837 63453\n43754 53161\n38045 52928\n13635 61222\n12814 93715\n24989 70292\n79835 86030\n36937 79848\n53133 55098\n40730 47021\n13245 38937\n4056 26255\n77991 78835\n66916 78380\n25478 58665\n45195 53895\n48026 95152\n35572 43696\n67895 89347\n49051 93929\n15457 70088\n50972 57887\n49404 97791\n39544 72196\n42280 77634\n17734 46534\n77193 88522\n26166 30382\n36915 63310\n55653 74507\n54569 69267\n5892 36784\n21361 60448\n59449 92926\n44989 53977\n29749 40943\n62856 64798\n56768 97289\n1654 77534\n29612 46770\n21493 69822\n62771 65628\n50648 96021\n6683 39245\n17463 49036\n29017 35475\n42849 72428\n1794 97807\n85995 94150\n30348 64415\n40729 57193\n72131 91632\n19283 82982\n54260 63611\n32744 99900\n37282 91833\n51649 84291\n4707 89680\n26978 65530\n3186 52879\n24478 71714\n27084 61768\n64000 96292\n73731 81860\n15058 76264\n28270 82313\n72755 76882\n78112 88763\n33570 75432\n42015 95629\n28803 64660\n69774 98276\n28601 67656\n35039 78787\n81452 95795\n12112 81447\n3039 63832\n29061 32392\n49690 92612\n77424 99566\n17435 77207\n57309 86512\n25814 96624\n4984 83748\n55031 90772\n24259 36186\n6496 40106\n88358 94630\n45073 91890\n57253 87710\n59690 97144\n22919 71521\n71817 97022\n8834 66837\n56665 69320\n87805 90547\n310 26986\n41661 64294\n20243 40117\n68698 81318\n14213 83933\n65222 76995\n13318 91017\n53414 79847\n33034 68419\n34907 72160\n12651 81300\n36037 54085\n730 86721\n12588 75613\n50817 99499\n25117 53948\n92215 98032\n19851 43956\n51859 75879\n1215 25421\n61693 88653\n10066 57657\n75013 78547\n67720 82074\n4669 34940\n15537 80952\n48808 91579\n26253 43094\n57856 78360\n20419 85510\n22849 53602\n1547 58562\n54728 75110\n35787 43683\n1023 48851\n6095 41661\n71867 74351\n53764 86932\n14750 22807\n6489 30626\n13846 31248\n64737 77242\n65751 88569\n3951 92179\n1557 40989\n3332 77947\n11658 68893\n39848 40640\n35426 88682\n15106 19179\n33730 37370\n5691 42219\n35771 78287\n61336 97610\n91346 91396\n17405 79589\n41404 61060\n30870 33128\n64450 74476\n29900 90459\n17049 75560\n58116 94241\n17080 19638\n11517 69453\n45977 63679\n30575 42714\n69610 70329\n20055 74550\n71052 94925\n1547 92602\n54052 95044\n58260 63760\n57865 80389\n61058 91016\n42056 76550\n26538 55959\n67074 67519\n12158 69458\n45376 95945\n29944 65092\n46584 77509\n11638 71682\n18959 72772\n37848 69755\n7778 54932\n57077 79944\n24371 75842\n25133 83228\n16146 99868\n85607 87832\n73069 99154\n34968 55521\n23475 59238\n2418 7790\n41338 77942\n28548 47876\n21601 67846\n7157 89439\n44998 63299\n11085 86404\n50424 63304\n54654 60615\n2673 28024\n28051 91819\n34532 59059\n15670 36651\n42576 60068\n24351 65167\n335 88849\n16789 45901\n15384 17314\n13767 81202\n32112 62737\n2462 5857\n63198 69751\n22059 72252\n35249 85947\n25957 37194\n87427 87532\n97509 99963\n65856 80649\n15642 77898\n37650 95657\n38790 53647\n30564 68132\n58632 64934\n58492 81329\n7850 25611\n24893 36072\n2367 98298\n68337 82575\n12204 27722\n40555 92661\n15949 79342\n20912 46519\n52300 85454\n79725 84195\n56923 68887\n21655 37118\n4826 71172\n6757 74837\n58679 98706\n464 95317\n75991 94924\n60990 77374\n24764 76790\n25752 54471\n15612 85375\n6169 35655\n23164 32138\n85128 91335\n27775 40625\n4473 19847\n25630 26790\n61998 79612\n2385 95655\n9527 77719\n36280 72621\n11836 48232\n33139 84280\n31385 42860\n3674 88102\n19096 79123\n72181 80708\n33472 84286\n10097 53519\n13603 44843\n70516 80280\n64133 82256\n53979 97156\n1049 83420\n9537 87648\n2488 92546\n13664 17435\n42898 43883\n7566 96903\n14613 24805\n14113 89482\n33029 59480\n17800 97968\n61251 98498\n43393 47999\n41129 72375\n28908 65263\n33448 93510\n33774 48535\n7156 83599\n11449 52083\n3108 9473\n6457 87404\n69306 97837\n15030 22804\n18193 97515\n26377 67847\n69135 87245\n54460 59318\n44645 85391\n26104 68891\n8580 93616\n15940 64974\n19296 62838\n10545 99408\n26218 56975\n92917 97867\n46063 62978\n49994 66348\n15805 46128\n15631 74198\n32071 56736\n56602 84491\n34250 56850\n66438 95696\n67239 77268\n46827 70875\n12238 40862\n74856 98520\n25941 50881\n74398 85572\n17961 20132\n230 98690\n8354 41420\n11825 33207\n44386 64759\n41275 52819\n11989 55508\n5983 57402\n73710 76815\n83711 94000\n77555 80514\n36677 38613\n2402 31695\n67763 71159\n9970 70383\n57059 81790\n34804 47951\n1506 56320\n70149 91933\n22619 29780\n42391 44779\n31801 45087\n28492 92942\n870 47545\n9290 57505\n17148 78682\n28857 39406\n19776 37736\n58131 82798\n47090 53647\n53704 95367\n49954 72531\n69087 97423\n15582 33012\n92 58976\n52581 91323\n61027 85735\n56203 89710\n32186 37977\n7176 40203\n11386 41573\n62588 78568\n31559 79797\n5362 26969\n41524 64109\n52786 79139\n29709 41682\n45274 68984\n16544 63429\n20077 34346\n32058 70054\n10527 60138\n25707 31312\n62843 75442\n2084 37147\n24474 64592\n762 86876\n66956 98937\n16216 37570\n47093 63346\n11018 41990\n54745 73859\n32751 98965\n19083 91522\n10865 21593\n18940 96941\n7137 99083\n67195 85751\n16310 40219\n19063 36155\n49508 69186\n9035 65651\n21310 43576\n63465 94912\n3460 64991\n31000 80260\n42300 58794\n578 89058\n63606 70538\n83142 99078\n15701 68167\n52673 90437\n13106 57914\n24294 32634\n43260 83442\n14236 90229\n46525 63446\n7740 69954\n12510 71672\n30083 55017\n38588 60791\n9947 65220\n999 46747\n1325 97344\n99698 99952\n27488 48873\n4483 10564\n3923 59081\n55874 66419\n34051 49186\n3502 54887\n85545 94006\n8650 62250\n2930 99984\n16558 86469\n12626 69605\n44047 82214\n537 87467\n19037 24479\n33481 76249\n72008 86593\n19148 52805\n56642 64717\n34223 95602\n66060 96188\n18358 76158\n47518 95459\n62971 66387\n57544 61406\n13660 54592\n70896 95332\n8933 79951\n43253 87773\n9563 82993\n25828 33800\n10682 38042\n12299 90806\n37231 57168\n54698 87048\n66573 88351\n75610 90973\n4733 20578\n80925 81533\n16291 70423\n31498 58127\n28174 44875\n25504 37762\n28182 96703\n64411 83018\n55273 86992\n39049 55750\n72021 86360\n5571 7751\n6617 20687\n13380 92366\n41210 46382\n52054 62070\n7276 58638\n15018 76307\n5191 17206\n32905 43122\n55351 95836\n14409 93637\n34922 52434\n64172 90517\n38757 70320\n33822 67594\n87640 88985\n23805 66469\n44448 95041\n7954 97145\n16644 63497\n1096 3046\n53415 68283\n28937 87588\n75745 93897\n6385 51512\n30893 99940\n40066 48464\n80205 86135\n24391 42462\n10808 79103\n1025 75700\n38992 58808\n2201 30007\n40771 49274\n42726 48434\n48757 59753\n73567 92764\n5457 47861\n8496 82549\n32641 56038\n25315 87811\n72083 89949\n68131 84154\n21140 68338\n59358 66193\n15764 19980\n74403 85014\n89854 90591\n22598 94761\n10122 53082\n65465 78969\n71222 88003\n26664 65097\n19478 61149\n1852 84752\n13116 75338\n7326 91403\n70858 93148\n13107 49856\n45971 56295\n44108 77706\n34768 96855\n22690 64277\n73993 87485\n5663 7086\n6700 47249\n3420 43214\n15960 18115\n9928 36159\n6694 79653\n1740 65492\n80333 81016\n4915 5827\n79848 95800\n76891 92218\n706 42425\n12471 65273\n27019 34538\n87611 91177\n59206 97284\n49029 65340\n7015 78567\n8138 89121\n7011 62834\n59388 92181\n63687 83009\n49903 71625\n40692 42295\n45629 70563\n28005 74831\n24591 73117\n28820 61962\n13663 57048\n56263 87588\n87269 94690\n31080 97645\n31213 67128\n12912 12939\n45474 70601\n91284 96588\n10409 28261\n13979 82139\n11605 48938\n24395 93155\n49914 74045\n49630 97073\n100 46011\n48957 59601\n9555 60555\n31196 34396\n73991 89283\n25502 95887\n58216 96548\n85962 93146\n22721 29244\n4083 16227\n12542 83286\n12573 72362\n46962 79933\n36248 38306\n27737 80161\n23499 67652\n31885 37853\n27374 53159\n97324 99534\n18384 85117\n15242 81648\n27191 49059\n8897 56287\n1491 98351\n34732 35047\n52384 97604\n40425 49644\n61478 87939\n57255 77117\n27297 61843\n29572 56804\n37506 85600\n8331 26295\n5852 61085\n57667 68412\n86442 90695\n86589 93960\n30265 66417\n38996 81305\n59533 97796\n59903 84138\n69514 80765\n37301 42740\n27805 67568\n17904 28493\n46223 81845\n59897 81923\n33123 75705\n44969 74148\n6727 60662\n5511 88002\n14656 16032\n21773 47073\n4245 28823\n46734 91911\n62823 78543\n5817 13307\n82864 93597\n51771 64719\n6955 78494\n89950 99882\n21287 27073\n10926 62812\n35830 60510\n8430 36542\n42238 58861\n4699 21238\n9990 43677\n12956 47533\n72392 76127\n66377 86436\n1419 80224\n19509 25695\n27756 99699\n7663 56228\n34556 94847\n80889 86033\n29123 83507\n32099 83552\n32528 51787\n18754 48556\n11723 79263\n54380 54494\n30455 53548\n4391 65923\n89008 92380\n13194 61712\n24778 61003\n1072 84746\n32766 43368\n42164 49831\n4751 50514\n19349 45285\n32668 95865\n18284 39880\n29073 77897\n15954 26238\n20830 21623\n21415 53168\n12856 45517\n4373 40772\n17052 90027\n2266 39841\n77262 81557\n3775 80107\n12357 31582\n62364 98483\n54494 99751\n60690 95521\n51129 80491\n34261 61309\n32846 99542\n55184 84842\n7777 72943\n919 14659\n5732 9342\n50048 65100\n24146 82566\n2654 65206\n1823 85115\n7036 61298\n31861 39229\n43493 83214\n16981 90177\n48988 92736\n32933 36068\n30632 97719\n9595 60592\n33169 81329\n9597 48540\n33302 36603\n11978 70858\n14522 35254\n43796 45517\n17943 39003\n53655 95850\n19683 48241\n11542 15626\n12954 14654\n7655 34758\n60298 86402\n13361 86088\n7789 84928\n15804 37016\n66140 73999\n23906 47494\n38124 49912\n29721 45231\n75214 85295\n31967 69454\n22184 27223\n60948 76548\n36610 52114\n7854 19342\n46680 78071\n60013 68136\n34670 60136\n715 61651\n13957 21698\n9905 12097\n7600 57076\n36188 36513\n25390 57569\n1566 55740\n69432 88465\n7155 86170\n8637 26346\n23916 91248\n37931 99513\n87571 97271\n2840 31533\n37273 76533\n31378 36701\n28951 91579\n7456 12634\n13403 31106\n71823 83767\n47693 77723\n67185 81305\n33562 60773\n61026 82386\n23935 68610\n29757 38711\n38835 39947\n34493 59604\n55347 81015\n38232 47127\n35436 69423\n61604 71166\n24155 98907\n15083 92000\n44635 77703\n73511 96458\n89228 98125\n90370 94222\n28417 74016\n29132 32211\n47696 60947\n10552 88260\n39769 50907\n6444 17428\n34421 44664\n12314 84302\n27666 29415\n84337 91947\n16748 21682\n39323 39507\n47092 79626\n51324 62203\n61149 90289\n6558 8551\n9573 36027\n5293 69745\n18115 66810\n17107 89673\n34454 65953\n16782 23616\n43590 90429\n53233 83333\n17758 72206\n39434 44016\n35536 46373\n76413 93178\n39766 96074\n40033 82543\n7004 68529\n9061 38029\n16776 44341\n80676 93182\n10029 58571\n7985 29532\n10788 98272\n9565 93602\n42899 60246\n41667 62807\n27898 91968\n65185 67768\n19254 25880\n46831 87711\n45035 64233\n3767 16824\n6951 44242\n44673 76844\n21709 77960\n3590 37090\n37723 97006\n66388 96224\n52203 56213\n56105 63449\n34434 91964\n11382 51583\n45598 85248\n35105 42947\n72275 95218\n53973 64077\n31401 91447\n66111 80037\n27271 53155\n13131 28398\n27737 43971\n25828 74737\n33936 74292\n55881 67408\n8079 13824\n39008 71935\n7046 75360\n7593 89652\n62709 95109\n69582 96684\n2798 45174\n72407 77317\n13660 87897\n49902 96366\n22272 27150\n15799 80955\n11857 57834\n70956 75255\n2516 28493\n1566 19704\n75768 80837\n92657 96204\n54745 99410\n26865 57361\n47052 73274\n27029 93041\n18663 62389\n579 43670\n846 81123\n7657 92118\n59013 85909\n19817 36499\n39051 82906\n90780 91474\n83473 90149\n10748 70453\n34663 59900\n26698 81321\n35400 52143\n38280 78350\n1337 16213\n26469 85190\n56187 79601\n5737 65330\n43566 69089\n20973 66381\n269 86199\n77544 94824\n29259 91375\n6432 61803\n10267 51516\n43323 44546\n56711 74054\n37538 47268\n68272 91234\n49411 54603\n1407 40362\n86427 99264\n54229 62939\n8444 70830\n53465 68578\n27786 84576\n33338 88021\n73932 78661\n17741 50617\n53723 90666\n28475 30270\n45292 99397\n2906 66806\n19474 52296\n70881 78147\n13685 61862\n3354 60737\n27238 62889\n59377 63737\n16087 25533\n21638 72838\n46710 88684\n23353 49615\n36480 41089\n9212 33233\n16816 87992\n12091 16555\n38734 53433\n40675 89174\n29584 74229\n29784 57358\n44409 97795\n24966 81223\n63399 71500\n21554 91066\n71417 74988\n36572 83387\n41557 60652\n8010 45213\n73858 91933\n25799 89652\n43623 44388\n10078 82422\n48551 80673\n6446 91521\n65213 70130\n30556 78176\n78202 80986\n3616 82888\n40891 50113\n85636 87006\n18379 98715\n14013 36679\n24933 31084\n2555 23068\n54654 86620\n42373 50375\n51883 84990\n21783 74077\n16619 86765\n29701 86841\n3467 12847\n43567 63171\n5004 38608\n77520 98321\n10671 55007\n50100 59574\n19075 37031\n91685 96151\n8886 57619\n33400 85952\n33407 95265\n27488 27920\n22519 47238\n48245 78010\n10642 19395\n67629 86273\n39946 65399\n59110 89888\n49776 77881\n61695 93767\n14088 41406\n28221 36174\n58081 75553\n87062 95663\n73591 79170\n13863 71493\n8971 78477\n10173 65998\n59873 65345\n21031 27372\n7755 39207\n68216 79739\n80 99039\n26578 27904\n10920 55130\n67005 88116\n21743 88631\n15774 87639\n12284 81456\n17356 92017\n33250 91913\n62288 70065\n87959 99827\n31247 76135\n12726 66394\n27329 82673\n22450 92468\n56856 70368\n13080 54434\n61413 73769\n9592 66925\n24969 53906\n6448 23342\n41002 48623\n14874 59198\n8006 47892\n7274 75744\n70585 77954\n65636 81197\n4187 76552\n84426 91421\n7667 66460\n35805 60189\n49761 59671\n363 19244\n43156 54774\n13649 71771\n33584 46323\n49901 53292\n86572 98080\n17 80779\n17025 89739\n9876 41490\n24158 58987\n82 51633\n19184 39755\n34807 49009\n33322 39652\n16755 44774\n14240 48520\n53064 71678\n10850 90952\n24755 47904\n16392 30443\n51416 65333\n28258 37101\n12918 53048\n89747 99928\n24839 39271\n48447 83901\n41700 49879\n94306 96343\n24501 29779\n23834 67310\n7271 79449\n30879 84037\n82983 89472\n15103 26978\n27022 30661\n1106 63333\n14843 52431\n229 95076\n27662 78619\n29380 45893\n68593 80211\n23202 96855\n27121 75621\n20294 22347\n6539 27087\n3327 6822\n6206 99998\n16462 87791\n36805 78738\n51042 70554\n5788 20467\n61948 82014\n2083 17304\n90590 92052\n65760 69886\n41258 95442\n5127 56819\n38639 98396\n39251 89549\n27563 37504\n31369 71354\n29951 84279\n11879 33933\n17762 31997\n27885 87017\n2303 17190\n26765 38453\n16741 84629\n30668 41291\n11636 65549\n45668 68264\n3460 22604\n72654 92176\n12199 84590\n24773 82591\n25572 93089\n6147 91564\n61811 97209\n34547 72586\n8999 46509\n63745 67122\n10268 28738\n80393 93301\n883 96296\n15122 23525\n43982 99560\n16980 28640\n5364 75106\n69366 94829\n13260 29177\n2423 98596\n22596 50211\n49441 61459\n8983 42451\n3502 91951\n22801 88823\n33424 78410\n30381 46298\n13749 17268\n26276 66210\n74749 97234\n35475 66673\n10588 66786\n32089 94352\n367 51675\n29264 81338\n11994 93607\n38827 97495\n9183 45871\n47148 63174\n7573 67852\n17906 24567\n26608 48469\n42177 98375\n46457 48972\n4394 6696\n40044 88180\n17686 45281\n40262 72149\n66073 70252\n52027 90953\n18356 95402\n27242 60796\n13885 26282\n50157 99714\n22433 99721\n5719 32559\n43422 63030\n58925 66132\n46263 67698\n2758 34709\n61517 87340\n31275 36932\n72858 92138\n35081 80605\n9434 74940\n44224 85710\n60075 93749\n31751 78175\n22845 64735\n86896 96153\n86772 97606\n16630 23147\n20857 52329\n39078 67307\n41895 73790\n18441 41932\n30091 91004\n355 94587\n84822 92916\n11786 47799\n34236 59887\n27412 91051\n68967 91305\n54300 88445\n76445 82299\n10144 34440\n62390 75467\n53133 88294\n4105 61395\n6300 12214\n28667 38412\n12964 87693\n19568 89774\n22412 77724\n89112 94248\n2075 24187\n45187 88573\n67890 71598\n32605 97197\n39146 80782\n28399 47153\n5065 60321\n3580 78763\n50882 61910\n1358 87345\n271 77351\n79750 87436\n37614 54116\n4436 9359\n9961 14421\n7728 41812\n59042 84342\n38309 86141\n98852 99157\n30089 57929\n28012 88715\n46918 57882\n34185 88348\n19212 31291\n19161 69500\n29486 59943\n32219 61663\n34518 59055\n55281 69359\n14014 29907\n63397 80810\n57470 92711\n40075 51659\n17426 38940\n8824 61429\n61411 62901\n18566 43921\n53646 70823\n17949 90679\n32315 94976\n40170 71355\n18951 51284\n60430 71194\n43706 91911\n87076 97768\n3138 87594\n8562 69295\n16286 46073\n34015 56992\n5452 71987\n28417 66354\n32047 81542\n73423 99740\n12886 55953\n3879 21375\n56192 99963\n20065 68372\n30725 39889\n76764 86380\n41288 94268\n7968 36092\n82810 94202\n28485 70592\n24332 51700\n11245 27262\n40875 89979\n13141 32702\n9708 97652\n38410 67841\n52215 75579\n5213 83318\n77598 91913\n30460 39537\n1538 85994\n6265 15739\n84529 96990\n50559 76087\n38065 54873\n40035 59748\n61983 98157\n24971 65048\n46337 79493\n18136 80014\n45117 69817\n47771 58139\n69138 89749\n22229 23256\n3366 43812\n1569 44055\n64916 94568\n34160 94533\n6609 12625\n39693 41398\n9128 75320\n15409 87686\n47686 49983\n5638 51097\n10773 84500\n37034 46317\n59026 77832\n16274 55895\n51783 58524\n63113 88667\n12730 64273\n46370 81217\n26681 39733\n86232 88566\n31500 60041\n812 77344\n52896 74337\n31383 60831\n7436 75153\n13657 61115\n4207 77545\n45521 67410\n4457 31366\n428 1852\n11484 36442\n3761 67414\n60660 67669\n65837 79370\n42991 84030\n71669 86044\n64059 88733\n30884 62402\n950 22686\n6891 28715\n24430 31087\n38831 45932\n4178 93198\n16384 43032\n58160 76645\n8017 74860\n1152 42768\n32273 93372\n22481 88152\n40591 44585\n2426 93286\n64792 73149\n48535 57245\n89129 97009\n14131 72027\n30138 80814\n6057 79747\n4451 29586\n5630 26393\n20756 22246\n14515 57913\n3525 78603\n9873 99860\n4685 94494\n66563 75234\n49985 57876\n53898 75093\n30916 33145\n21045 70283\n18524 97105\n13301 53260\n1539 21788\n87232 88926\n67310 85844\n45044 66308\n2982 31876\n18151 90396\n3539 21185\n52480 72150\n40509 95409\n47628 47682\n27111 78093\n5594 88814\n1534 10825\n32241 40281\n13298 81572\n23907 54082\n27829 85957\n41865 50042\n39621 58311\n27596 57099\n22657 95190\n36346 96024\n39613 57046\n35250 91005\n8835 19660\n23720 44547\n13707 17392\n5605 43713\n60008 85800\n23723 70859\n2843 99441\n11632 52617\n11756 28007\n30388 75065\n11319 53917\n72771 79581\n11899 15348\n15605 38029\n7107 91996\n40039 64529\n49235 67690\n4242 87590\n23183 78591\n8457 16725\n26597 75125\n41753 43691\n76287 96442\n3629 79959\n53557 93324\n77045 87161\n18378 20133\n15788 29103\n66082 68694\n49450 78530\n2780 5317\n72842 99289\n29401 34311\n27136 70858\n25275 42147\n78897 82953\n23450 57668\n50657 61090\n5379 83367\n3093 96311\n58155 76752\n16559 20700\n6074 27239\n47206 62602\n17335 18883\n77790 83523\n7917 84343\n15778 21089\n11964 50467\n50789 77561\n58138 88255\n33730 36047\n19702 94898\n13134 79080\n25252 34454\n89072 94503\n30509 63726\n33733 77352\n16777 57744\n53598 90667\n6339 52958\n49410 69379\n29918 40392\n44521 61862\n5232 58395\n86481 92878\n19274 28267\n6714 31549\n45548 78969\n54249 66207\n40818 94823\n2402 59342\n12259 61487\n1424 4075\n53662 97871\n15505 93961\n33795 62256\n44755 60708\n65604 69769\n33956 46921\n34078 67828\n59377 68150\n38005 91220\n4885 12054\n50133 95373\n7029 86883\n594 86097\n5491 69687\n36799 94737\n43258 95911\n7055 93646\n28362 68169\n27839 29389\n27280 48279\n24497 90699\n40193 54637\n46401 55794\n2679 78388\n29782 43371\n53807 84028\n7340 76319\n60849 82728\n28288 67875\n39235 68351\n12431 20853\n23092 32258\n39889 59824\n14598 70088\n43967 94266\n65190 69247\n2051 18601\n25531 75554\n37750 50994\n28806 59762\n4712 73746\n71405 75752\n27757 30019\n24392 63425\n50930 68999\n87219 93144\n10060 55677\n40917 50317\n60682 68599\n32465 62312\n31142 78982\n62395 82215\n87945 89692\n69194 87108\n31068 98760\n54401 69714\n73685 95194\n20580 63029\n1846 22750\n21801 99272\n6158 88149\n36016 91440\n20654 23750\n31685 41912\n73177 81469\n13248 20405\n88772 88959\n48334 79049\n619 64011\n11307 21437\n17295 66683\n61871 63216\n3395 52162\n25761 99597\n32147 70425\n48244 69446\n17741 62451\n10122 39566\n13946 63285\n29324 67871\n23314 48050\n51691 67230\n34983 67966\n42313 96530\n36707 94851\n29893 38456\n2296 66867\n32115 42900\n35660 51656\n68131 78754\n89953 95547\n46677 79641\n16530 45990\n5123 54245\n25746 78078\n5670 21337\n41188 78687\n33748 86506\n9881 54097\n9299 84691\n23114 29165\n15566 93558\n56560 84480\n65774 82240\n13029 21334\n60409 86362\n32096 65861\n4317 88901\n19726 86915\n32408 46082\n17285 47709\n17916 85854\n33625 95006\n48926 69184\n3935 86633\n49226 53130\n38323 47731\n32191 93267\n65624 81604\n22728 83614\n44590 91779\n29956 30451\n23247 31254\n50105 79635\n20690 38399\n65554 94741\n73284 80662\n26647 75693\n28173 51969\n51973 92922\n43970 47227\n45425 58843\n62891 86870\n26621 46270\n8437 54236\n42890 84077\n18431 61074\n10017 77427\n20308 69819\n18195 57122\n70406 98164\n15083 70520\n25639 79867\n20850 70127\n36538 42769\n43572 59907\n68629 72345\n14713 29269\n13615 92274\n28275 81138\n25462 94097\n7036 44081\n77986 97696\n26988 85135\n24168 93008\n72546 99548\n1283 56334\n9212 58633\n63418 81043\n30498 35032\n3692 29291\n65475 67416\n71525 92156\n50259 90009\n47043 98799\n2939 82852\n35161 55670\n37104 81843\n79451 93032\n18350 46060\n47980 87827\n64109 70823\n83209 93650\n29992 77700\n32143 63319\n74698 88010\n35324 84278\n2360 4514\n13592 50846\n63715 85458\n13123 77204\n22454 35512\n60649 63739\n80043 81633\n4447 12136\n35612 76048\n15936 68247\n16949 41239\n46419 98519\n21753 89853\n30974 79204\n46275 71320\n738 52794\n78600 92902\n8018 54702\n43406 52170\n65490 74255\n15513 69716\n4854 16979\n16221 35705\n5117 63947\n24898 79075\n36355 86409\n78177 81633\n21552 89307\n26686 50533\n39390 74745\n15668 72378\n22972 45240\n65791 71696\n29909 36233\n29905 79060\n58104 62332\n3158 68003\n3595 16339\n6369 84959\n45235 95617\n26365 66587\n21392 59789\n10031 20174\n7571 95130\n41565 61785\n19718 99701\n13246 67740\n54455 72301\n4877 76033\n2751 91743\n22888 77637\n45428 73355\n8496 83263\n5659 42475\n34715 57575\n45447 83853\n22261 58761\n44661 51423\n56050 87767\n10650 75711\n52029 70149\n35585 63221\n12448 72843\n74499 80579\n52548 65511\n16209 82320\n14746 47873\n17756 61458\n41626 46598\n50864 82436\n57374 96169\n43961 77299\n40855 94837\n1279 7416\n28789 79602\n3435 45734\n8235 25627\n15533 97894\n38925 45780\n28824 45767\n13930 63829\n30871 99867\n14993 47999\n70521 77751\n17141 25217\n16669 58742\n27338 42402\n7116 47142\n53569 99265\n54084 72349\n35081 80065\n73266 94955\n31018 65274\n26056 31950\n68017 88106\n50985 83442\n50615 61160\n16513 29445\n25841 59192\n13980 30991\n95871 97079\n33431 95266\n22444 45155\n42044 81344\n61187 92368\n4807 73556\n5115 58178\n68544 94803\n80667 85456\n8528 57859\n7734 69546\n49368 81440\n32438 42176\n67156 76130\n20269 81404\n27621 59530\n54435 85315\n62171 86099\n3461 8808\n5173 66552\n48853 50459\n47063 99610\n23441 86059\n32858 83678\n51782 96582\n45140 50838\n25210 75460\n30541 48414\n38356 84088\n8523 27917\n2359 95115\n65317 97162\n35689 74094\n59134 94624\n54031 68205\n23031 58925\n40455 85961\n18289 55541\n57080 93891\n7504 37120\n9130 92418\n16090 46107\n24892 91520\n7288 24327\n2181 33267\n39371 96641\n15059 43067\n38453 64354\n89524 94427\n75264 87018\n44464 81401\n1693 53117\n18284 62266\n18175 32282\n44699 67861\n80224 85316\n8001 55174\n28124 67134\n86982 99539\n13250 24429\n23835 82320\n11520 99716\n18262 30213\n67975 83203\n38433 51748\n35786 91984\n42671 90457\n12971 79941\n80535 88447\n10141 38690\n40754 85539\n24140 64297\n52312 53572\n6118 58266\n16208 49325\n43897 95352\n51406 96018\n30616 49045\n24801 80745\n47513 67303\n21535 43629\n41944 71229\n21406 93668\n25144 45529\n30989 43833\n45271 72341\n66250 87778\n47614 93713\n52184 82731\n25750 64592\n22450 84508\n27954 76406\n7906 90735\n23385 93825\n11914 13530\n40385 46287\n57506 94345\n39930 90823\n6004 39228\n38332 99165\n1903 78217\n73064 94296\n46980 63604\n17454 50049\n17995 32042\n18823 70645\n24553 33367\n63165 96867\n47772 58716\n17276 74269\n64789 97430\n48927 97180\n7740 84932\n79532 86744\n32118 76813\n2079 41989\n68614 83832\n25017 92612\n55859 62376\n26421 41448\n67566 73757\n49868 66872\n30914 37565\n12253 71566\n65393 97321\n92884 97010\n24114 68437\n19654 57268\n9425 18442\n32364 62530\n4174 80734\n11498 77258\n20002 31004\n11041 85939\n9628 9772\n30463 85241\n73479 78151\n10011 51130\n20175 37641\n44744 86009\n48110 56284\n12188 96061\n45045 93156\n46510 77810\n65998 83981\n53597 58120\n6464 90430\n20895 34591\n21352 50836\n87564 95417\n22274 95220\n25074 28140\n55300 73394\n12313 16080\n20928 32906\n32455 75418\n12824 37956\n66938 77892\n68220 95351\n1833 38780\n23886 95166\n32301 35336\n37113 41839\n27438 57610\n39852 45880\n9398 56217\n42594 61499\n15370 60240\n11700 15979\n59954 80646\n12559 73355\n13685 71091\n598 35094\n67521 83419\n34588 70249\n60611 87612\n9175 72109\n39469 70054\n11342 20530\n9103 21486\n51513 75575\n22037 30660\n30284 73458\n42316 42375\n64332 81437\n62742 66516\n33766 94469\n38632 52014\n49157 67947\n3305 52830\n7091 86380\n41173 90863\n49280 96707\n35312 65431\n23468 84771\n42187 70031\n16043 94165\n17460 22485\n40063 42242\n34002 53919\n9340 69586\n45588 75914\n35077 69449\n49289 88773\n233 15323\n9324 91310\n5854 67402\n42427 80993\n75180 89713\n70891 77297\n42050 86815\n8296 61628\n58285 67260\n60212 67817\n73641 76370\n27423 79305\n28669 54526\n24571 59516\n13590 18694\n71451 91589\n56829 70605\n40717 70496\n33406 56884\n74948 89780\n56013 98127\n30641 95601\n3820 88452\n75713 80152\n69177 84977\n32294 82717\n47037 71046\n44745 81546\n72975 87018\n34602 64922\n4215 21567\n13895 47833\n28366 47656\n18403 31031\n41159 46246\n48069 77925\n44726 56956\n23914 65909\n36532 91971\n5227 26131\n40263 82353\n13009 80103\n20107 98884\n6773 87320\n4622 42768\n70105 78425\n5357 42164\n2743 16786\n58907 71630\n15482 21579\n20589 66457\n26997 41835\n46205 67963\n72134 92370\n57031 73542\n68186 78780\n14985 34538\n7588 18114\n72426 86719\n33141 67827\n18756 90248\n67411 75725\n47691 52211\n37470 89983\n7521 84224\n34164 94170\n64344 66062\n88939 91750\n90521 97584\n10600 78616\n40705 82033\n6610 26281\n8654 57940\n52852 81031\n67778 99927\n27677 50590\n32890 36994\n56389 58442\n4347 13165\n11657 21755\n54910 78958\n27222 51480\n9931 82174\n22648 25090\n14865 55593\n12289 76286\n28444 39851\n19465 94972\n92060 94296\n30870 61222\n24102 34809\n33504 66992\n10358 72205\n19621 24320\n17651 43472\n38390 70135\n58889 91179\n21917 53005\n11088 32626\n27747 27940\n56974 58504\n30885 92750\n1714 16269\n8810 40623\n7528 54579\n17727 69139\n46490 99594\n67826 97439\n47552 62760\n27554 29325\n13983 76684\n230 1655\n20203 77336\n13779 35850\n60432 61982\n16992 79457\n3927 52845\n73324 93452\n2039 81111\n2235 11204\n26731 54851\n25414 66898\n2480 53383\n9869 53371\n5958 23614\n23478 37434\n55887 73843\n84615 99361\n12396 98166\n40191 58719\n71507 93090\n29759 45188\n20237 60199\n28984 55693\n38941 76928\n11368 83655\n46102 61101\n22347 56513\n24208 73186\n36303 68901\n6419 66857\n20793 94247\n27733 35344\n6189 86249\n90956 91293\n97440 98944\n153 2421\n25950 92299\n48685 60870\n14585 94085\n36233 98285\n2762 51199\n1814 25906\n32716 43644\n55340 87258\n19071 80884\n67291 92420\n63709 83979\n42643 61583\n50013 89256\n33709 40845\n21805 33643\n60841 87083\n80245 80509\n19665 57754\n12728 88748\n9572 87180\n57667 78525\n74782 84510\n51763 88421\n34588 60706\n20891 99208\n38962 40567\n36126 89463\n824 6125\n20486 34802\n35037 53458\n40526 59598\n40215 42223\n9826 55817\n69978 79670\n26432 52364\n24120 92159\n11819 39086\n44578 74976\n28333 42335\n9728 10331\n28786 35022\n48102 57003\n7065 20596\n7983 50129\n73661 79053\n55979 57679\n24078 40666\n14594 32484\n22627 31754\n42487 51711\n63718 99788\n24206 59686\n1009 83547\n2715 17648\n34369 77428\n18528 92230\n72589 80027\n87795 99822\n4377 82380\n18738 98209\n7954 11225\n2352 21756\n46970 90699\n42093 90948\n13551 39082\n5938 12724\n27133 80703\n5120 34635\n61583 68599\n6605 50307\n10475 17604\n23132 63131\n685 7931\n20001 39461\n12782 96015\n18881 67355\n53503 60477\n92366 96935\n53242 96967\n38537 88347\n53650 57857\n67505 96532\n2362 3252\n46762 78618\n91083 94681\n63316 69748\n22861 50673\n21242 49118\n22991 64411\n13778 53638\n8325 21657\n24582 97376\n33793 84509\n50743 98472\n54994 90983\n5748 16169\n35301 84491\n23239 64488\n3385 76706\n86591 88646\n74099 75317\n18538 31663\n20726 90444\n12724 25009\n70326 97955\n39110 74768\n2 37106\n28268 56724\n38476 73867\n29032 97240\n8061 33338\n13506 40445\n19277 38851\n14692 30306\n72854 88963\n21171 49639\n37503 55562\n575 91568\n7622 42386\n8217 79272\n16108 67767\n9655 40569\n7095 15403\n44357 76225\n9324 87924\n2673 44906\n34634 54877\n62314 91949\n30605 42646\n85794 98796\n54074 91709\n13733 55952\n55719 78347\n62921 68142\n79552 97017\n73862 78255\n44166 90942\n63880 72526\n54875 98357\n43068 63023\n29461 95393\n5872 22819\n13691 32358\n26749 36425\n23518 97792\n18676 53603\n1969 51146\n14480 33222\n18227 95167\n47254 48144\n6637 88640\n15719 81208\n33619 90176\n25690 31489\n66523 80292\n65346 84340\n78570 85651\n43282 57638\n14358 77829\n38069 58021\n32803 54490\n4085 52381\n48975 55784\n14487 26884\n89192 91706\n54348 87344\n92787 96173\n70079 77893\n51821 68934\n84837 97791\n12803 21511\n56613 96722\n7009 50899\n89909 99790\n8834 42798\n49969 76225\n32315 41875\n31236 80101\n57071 75990\n15512 58447\n64288 83904\n34450 70428\n56568 61599\n31103 42635\n32382 60406\n19906 34142\n949 3019\n66173 81384\n91152 91628\n15656 22628\n3296 31932\n8915 13416\n22386 53159\n37971 88039\n209 34283\n21470 92946\n40041 52432\n60233 79493\n69424 92508\n21466 59362\n29670 80386\n95987 99209\n63041 81016\n15620 30528\n18798 47564\n4206 53967\n57909 65007\n70484 99166\n35956 98916\n15354 33622\n46305 58864\n3078 31678\n4183 77225\n10563 59863\n40528 97589\n56407 68883\n58428 96082\n33244 81718\n43752 59015\n52198 84083\n5184 48870\n66356 95665\n25873 68430\n14229 27510\n2295 22350\n32759 66913\n17489 29690\n13676 82472\n11705 28261\n36454 80893\n10016 61824\n41602 66345\n44404 97674\n24030 79004\n7501 91954\n49332 81285\n1806 39384\n58919 85731\n30604 84780\n93 33758\n6800 28415\n3057 99459\n28162 64919\n36261 47873\n58517 83104\n24666 61088\n11560 68178\n9749 70632\n56783 85271\n46326 67469\n24929 64263\n25999 34412\n65255 91231\n8197 34921\n21292 98708\n52003 91429\n8332 34108\n82577 93298\n29419 67288\n2469 95166\n24026 83657\n17616 97555\n10630 83147\n39450 70391\n23063 97117\n24078 91722\n57492 58620\n76563 87922\n1319 42120\n5652 56022\n26062 98126\n3653 75742\n59138 87754\n32836 51526\n38859 90927\n32523 35400\n21873 54990\n85332 87252\n32312 73720\n35744 59464\n32235 39385\n35775 91276\n11366 30337\n39193 50264\n98 6611\n10504 18290\n45047 50179\n4705 22173\n9351 35084\n17697 49919\n72975 84995\n20622 31510\n10473 91790\n2950 31026\n974 5408\n3106 23924\n2713 57585\n16368 50419\n18382 71825\n21439 96696\n49850 75691\n32888 36715\n83096 98469\n41025 78762\n22045 56677\n34277 95025\n26615 46544\n22551 33860\n23936 91575\n27852 44769\n53707 90125\n11485 34548\n12997 64228\n52969 66587\n8681 85165\n7871 35687\n22511 37461\n33517 82737\n40422 60352\n75803 87006\n25417 76250\n58947 73344\n44959 62105\n30843 78781\n11743 79173\n27023 98344\n72437 84252\n26411 51537\n16486 47966\n44302 93881\n10272 77864\n2016 32172\n25216 71240\n44758 89987\n70 16933\n29316 85212\n23916 52009\n37721 71685\n54229 65854\n2275 56622\n9787 62498\n84166 89108\n3512 49389\n78611 80525\n6777 24119\n16287 41499\n17559 47643\n15478 81154\n30164 63797\n76645 85551\n11231 48466\n1660 34855\n16262 38709\n32313 51172\n81412 93147\n1328 58472\n28991 85460\n4370 69062\n64986 77767\n17401 31541\n20056 96138\n20748 28672\n12836 61196\n59006 78132\n56430 83848\n58519 68518\n42785 73436\n43037 76552\n42537 77083\n2466 96081\n29100 84218\n6980 76808\n72940 82560\n33604 37070\n34068 77413\n8570 61037\n2140 95546\n25206 94222\n20096 23689\n11553 84223\n13202 38213\n18597 33699\n40298 48043\n89525 92019\n60029 76582\n3635 45728\n75898 83257\n5060 93659\n23897 96540\n40186 76016\n75181 80507\n21699 52187\n72499 93228\n29505 33081\n50284 50622\n12271 45590\n8883 52399\n714 92425\n33089 62804\n44211 62297\n33303 40876\n2513 9927\n10170 44400\n23241 27474\n51581 66312\n34252 78850\n9168 95679\n13377 52062\n46628 92094\n61135 70928\n48713 62469\n28039 88440\n19528 31769\n59426 71341\n60196 82128\n6368 54143\n50461 59352\n53347 97319\n36491 44424\n72158 97425\n27619 62635\n11731 59357\n48988 70008\n3078 48961\n57532 62417\n30808 58407\n8879 18953\n19248 76989\n38192 83265\n24167 93934\n43227 59831\n41671 64415\n51896 57071\n58143 80727\n24213 70177\n19600 43888\n67485 89426\n42664 66328\n5170 33748\n27976 54653\n41772 86321\n56461 85152\n16636 17632\n27974 99348\n50053 63615\n60421 92997\n23914 56082\n29913 69520\n74357 84778\n31840 84127\n25506 65788\n69982 96886\n13437 97999\n32341 84067\n33459 89149\n57185 88843\n25886 73984\n59468 86521\n38230 84281\n26487 79166\n23857 57634\n49093 57372\n35566 62698\n8674 58142\n72923 78078\n11525 40951\n22160 38281\n12134 37263\n56752 81110\n2862 12219\n49987 82314\n5559 44580\n5097 47265\n49731 71866\n47575 60663\n76395 92812\n27091 72084\n43803 86417\n64782 72297\n67130 93436\n30672 41575\n45854 87504\n9039 56353\n48862 96921\n19543 26343\n40418 97302\n8804 96986\n1050 7076\n50293 59914\n31487 75920\n10407 18638\n17988 52832\n26355 55495\n13546 53249\n27905 84203\n34692 40322\n11207 75193\n83681 96506\n14992 38029\n54484 65270\n31759 88873\n49646 72073\n25466 54099\n28718 54674\n63371 76324\n1123 24471\n4186 12710\n25397 95787\n4803 71418\n41904 53145\n15879 47180\n2848 78098\n54083 92873\n13122 52388\n8212 59042\n81929 82983\n16496 89492\n10209 25922\n22144 86294\n4061 57234\n45716 63794\n39405 76084\n6914 22750\n37083 76168\n24092 74422\n50404 69878\n65325 70751\n64837 84767\n9351 89996\n80330 85964\n40473 64031\n71198 95735\n83689 99932\n72872 98274\n16001 36785\n49636 53043\n67217 96011\n4950 51694\n74792 94568\n3744 50222\n12442 92644\n2581 68458\n61819 92869\n13133 13322\n31050 66644\n14067 62503\n11137 27900\n3675 63814\n64699 97976\n19647 53961\n43303 71026\n16876 85226\n11780 22437\n42294 71306\n15701 60022\n11726 81923\n15561 72593\n2017 68133\n1150 88019\n5746 69826\n45308 90732\n29481 87812\n35217 92763\n28148 95906\n39651 86772\n53231 98976\n19603 44940\n81119 92325\n45279 61726\n27618 56263\n11798 78819\n77338 85096\n9594 54401\n7072 48118\n72435 78854\n55785 92147\n9060 97421\n12671 23327\n23299 76954\n3267 69695\n77394 84383\n80239 80595\n5168 57075\n19597 56468\n68730 87248\n23048 82850\n49379 60106\n38296 39722\n7918 92816\n15047 37681\n20180 50822\n20932 37122\n60276 65314\n44906 86679\n66263 73259\n26664 97599\n79590 91924\n10071 77828\n10043 96090\n83152 91405\n59973 94847\n42752 81180\n65156 94262\n806 87089\n53476 77382\n11545 57355\n71998 86520\n15257 43491\n47803 65248\n71591 96143\n21459 48459\n16120 23507\n30897 82643\n29389 89281\n10096 65548\n10879 50993\n77399 92125\n30750 40199\n41793 57361\n42017 99169\n4697 17333\n42881 45356\n44039 71046\n41967 98889\n26610 36359\n42060 54946\n2699 44858\n695 49407\n80825 92274\n66739 82159\n21885 59321\n24 10828\n13673 91078\n22172 60110\n60234 99687\n11754 88580\n42597 98974\n2102 75766\n49449 75112\n54285 87839\n27325 71812\n59091 80872\n35785 85769\n18287 27422\n57411 91824\n70777 86408\n4640 41739\n4901 47895\n30759 96974\n6240 36051\n12035 65715\n52214 67556\n25138 86451\n5581 82197\n25339 84219\n953 41553\n6030 65109\n73285 79992\n7691 73183\n20179 75107\n44497 73316\n69059 96421\n5177 91608\n1725 20884\n59101 71565\n71830 84319\n11653 31313\n10126 48916\n39411 58200\n48262 99721\n31632 54686\n10382 70770\n67700 95711\n50944 83337\n40798 99541\n66630 76895\n31901 70133\n6293 98146\n30835 36111\n20113 54868\n83455 87860\n54949 74351\n32667 39147\n1910 65074\n6678 20922\n24864 68589\n43716 92048\n25678 60937\n5252 75093\n34760 93205\n29308 79319\n57346 66858\n19148 72776\n19617 67099\n18813 49471\n55443 99046\n31025 98074\n43982 74492\n840 27924\n497 81614\n33200 53307\n2418 43072\n19343 44024\n79677 90242\n35070 99223\n5669 69140\n20471 89316\n25710 39332\n68017 86400\n31057 57710\n295 46501\n18039 84957\n22870 77885\n21604 59718\n17150 71750\n21198 36540\n41643 70855\n12703 23249\n2250 53136\n77996 80450\n7165 12352\n5682 25007\n7533 62461\n47870 95930\n74944 98309\n17658 91568\n16440 94480\n39755 70232\n18966 69827\n6423 21931\n2785 2855\n1133 36110\n53105 81863\n45091 49884\n28416 34097\n1042 93127\n24616 78944\n16595 59815\n5587 41802\n70889 74373\n13613 91890\n32754 57027\n25583 70453\n67801 76794\n12266 37172\n6596 45239\n35106 87261\n54305 86069\n1086 91516\n25432 81928\n49080 68107\n59247 68423\n72124 89670\n30010 55084\n62064 94183\n41678 48200\n10415 70439\n12436 93613\n67712 96117\n3476 30246\n32291 80492\n3077 68376\n59242 87452\n26244 62415\n23500 33573\n46025 94299\n17540 75451\n39999 98851\n6528 65445\n15859 68281\n26135 71657\n954 85418\n24656 97319\n1979 70332\n6354 84354\n52651 92354\n12651 90619\n38275 83265\n15023 17992\n11616 61838\n60465 66447\n46987 47182\n38916 93642\n30904 68053\n35238 67494\n20927 66004\n51015 76600\n21852 83155\n16533 20228\n16204 95899\n36366 90422\n7763 20670\n6271 68381\n15952 64141\n69495 92524\n84925 93295\n12197 37526\n69878 90448\n21331 97145\n19289 37649\n17243 21132\n42537 70282\n36530 80209\n69222 86186\n19901 45212\n47781 59406\n13255 75820\n28991 62913\n4867 39109\n741 24500\n32509 62221\n41600 44584\n8914 77944\n14432 86140\n19699 55309\n2203 82871\n3660 87027\n59946 73580\n52515 77879\n36243 69713\n62244 75976\n19213 77370\n31455 77609\n17853 89897\n57699 82691\n964 26803\n1761 70244\n23397 90322\n26206 82705\n59769 96762\n51970 87658\n98294 99208\n11174 64681\n6775 38550\n64186 97081\n57577 91247\n80342 88963\n9185 58660\n21926 50843\n65528 88019\n16505 36269\n24206 32596\n2295 85647\n12262 49630\n44162 65235\n4311 57147\n61719 66212\n6859 59823\n50084 79946\n55323 70649\n39338 98135\n2676 65811\n30792 76651\n23614 79610\n68086 92808\n36840 81195\n58698 72358\n28578 62882\n68087 91044\n37480 76511\n41312 52718\n23707 30840\n44961 80275\n17445 38482\n4896 60312\n14468 70019\n18202 19398\n7377 54527\n4631 90852\n8264 24101\n21595 54234\n14975 23026\n4385 66907\n6916 79502\n1539 99650\n10247 89195\n19496 25485\n33029 96714\n1690 46867\n9566 65867\n76120 86417\n12355 87855\n21457 53755\n48055 99677\n51884 82974\n8806 57977\n66558 81073\n43553 54434\n48878 69893\n26392 79839\n48147 62245\n52844 77021\n17419 59751\n27491 65255\n59986 98997\n31337 91812\n21468 98548\n14339 64592\n7256 52872\n46607 86195\n84580 99800\n14260 62413\n14981 36029\n35669 60228\n43693 96746\n52102 88559\n6668 41275\n21580 63929\n207 84106\n6876 14669\n8038 92339\n26664 48496\n42857 98325\n945 53252\n18503 99509\n22902 52225\n38904 88362\n67237 83637\n49581 57280\n43861 75612\n8951 29932\n43530 66956\n5408 61321\n12549 57454\n5055 24457\n6692 33908\n13665 23422\n41478 52923\n21036 25030\n5294 13387\n18242 21003\n47674 64207\n49198 85975\n34482 35678\n7842 50287\n18712 82404\n42776 91982\n70245 86851\n73853 93544\n26227 59555\n49733 78896\n2718 57530\n42736 45977\n8975 74261\n22101 83378\n24500 29987\n57576 73403\n70046 71552\n21465 70325\n23266 29837\n6655 32792\n69329 88051\n69104 95037\n56199 89262\n32667 53110\n18495 96851\n32882 72323\n25603 54551\n68750 74367\n30082 68609\n61496 65631\n60250 87470\n46437 64855\n52439 89772\n4728 28159\n25654 90532\n22617 35676\n26447 89714\n28854 32694\n72028 81320\n19387 24394\n10455 45183\n27775 59536\n58081 69133\n4214 68760\n9094 65739\n61183 75169\n40839 71464\n32274 75998\n24447 66153\n57793 59231\n60974 68307\n3238 6860\n54839 59425\n57598 98394\n21408 88145\n1642 66953\n3577 43152\n61673 87789\n12544 22849\n30204 46099\n564 38391\n66016 99688\n20651 64285\n9456 16445\n54424 71855\n59702 88351\n8875 89664\n69277 87468\n54932 87770\n26691 88324\n68390 69659\n47101 91239\n33876 52900\n19054 57880\n14974 19429\n45401 81597\n10514 93313\n50119 89198\n426 10588\n27479 94234\n84876 92940\n23956 77918\n20127 44947\n48105 65311\n19614 33827\n9793 44866\n34648 70505\n71530 81328\n140 64529\n60885 90466\n34176 51387\n2359 39215\n54209 64845\n54501 92389\n6149 74406\n73545 92449\n14560 45994\n70007 78936\n57725 81546\n18947 34494\n38136 90320\n10192 91608\n25299 25818\n1356 90213\n69392 92364\n19297 97107\n45464 98493\n9277 12041\n29672 75408\n25062 75855\n54701 54772\n12971 47070\n2726 48060\n27186 72792\n83910 98759\n85492 94889\n49145 99561\n74149 76469\n43429 46538\n25259 41339\n27341 51521\n2675 43881\n26638 80718\n21167 82913\n19761 21122\n67703 83658\n1985 84000\n35123 66890\n51006 69435\n7798 42784\n12487 46819\n92846 98000\n33306 59370\n22001 96541\n63961 67780\n4531 9602\n49196 88140\n11361 15285\n62953 65665\n23453 33513\n3627 60649\n50339 66691\n32734 87449\n30935 45042\n42784 79601\n4495 33803\n79311 86159\n21883 90875\n31051 76647\n39576 70580\n23569 78834\n40598 76244\n62984 92815\n79049 79380\n73296 79087\n93603 97280\n23422 35612\n42386 75963\n253 35278\n74158 92263\n25831 78248\n87531 90813\n24115 41773\n992 12707\n1694 16387\n2700 83554\n42874 96331\n74490 79582\n21596 60391\n18086 98775\n65561 95720\n49199 83933\n3911 8760\n22212 39388\n14705 21623\n6232 7013\n25833 49929\n14618 36388\n27487 62177\n29111 40512\n7433 39724\n4479 96493\n32621 92323\n26793 71338\n61195 97248\n139 26067\n1424 10095\n171 18842\n26207 98618\n21920 41435\n20876 71095\n11684 50108\n15667 76367\n9358 51353\n12885 53921\n98573 99394\n14055 64042\n34418 65108\n8054 16369\n8543 66866\n39008 65479\n20217 98737\n14227 89682\n71479 98908\n31714 85658\n6854 23668\n61910 73294\n6315 27363\n18197 62387\n48855 89023\n12855 24117\n75027 97852\n7603 75008\n59880 68501\n4888 85184\n4830 96491\n2622 28226\n2960 5590\n2823 40102\n66681 71436\n45882 91724\n335 27984\n18168 70808\n44462 79783\n19577 40784\n42163 43212\n16750 54123\n17364 70565\n12942 58924\n45112 83358\n6019 88710\n42911 56964\n60835 88392\n3394 85717\n70534 88786\n28044 77491\n18737 28932\n30612 46187\n71733 73950\n52211 52437\n52016 61882\n46199 59114\n40172 70817\n25848 60805\n61050 64833\n36594 37732\n68868 97636\n8122 28478\n17542 41074\n6311 84898\n32757 95263\n8310 34519\n4161 67486\n25387 70885\n49147 80532\n30152 47498\n13310 32342\n28771 70107\n35504 99138\n25269 56668\n11625 26214\n20379 77820\n10283 23075\n22784 91762\n44267 93663\n17283 47821\n4220 71326\n4707 95026\n25731 31493\n39766 63088\n7648 66670\n5746 9067\n54308 58428\n24467 67642\n22678 83681\n55560 86200\n678 38728\n4534 48551\n15785 85612\n6506 45502\n18195 41584\n44123 86205\n46448 88939\n33020 83092\n6833 40084\n4262 39523\n11758 62541\n32561 99518\n41042 48351\n41785 91266\n41866 45547\n68988 93466\n1054 6703\n38610 60499\n1347 84066\n13068 83917\n21762 91214\n26013 95362\n38192 99677\n49276 88115\n87510 96745\n80124 98023\n42144 95725\n27565 82463\n15467 17227\n45261 58966\n35723 51562\n64209 99834\n29943 66427\n12152 97997\n21968 99248\n7476 22768\n25373 26336\n70740 77270\n58413 97600\n42582 65070\n49755 53802\n12103 21020\n47730 97572\n70246 94477\n16464 92798\n1279 85514\n17829 60828\n31484 75040\n9516 98417\n88 481\n65998 84407\n25249 87661\n6820 26337\n4820 79226\n57399 91735\n47253 60606\n15193 18769\n32251 93551\n2378 93618\n16018 80239\n999 26694\n17937 77413\n35029 70330\n88237 90454\n55407 84171\n44829 70065\n56945 96905\n61831 75825\n24420 90405\n19127 33455\n10054 14719\n57952 75340\n7718 9692\n25654 96502\n20500 83623\n9560 52648\n11985 30284\n44456 59513\n11253 81367\n36932 61994\n341 82331\n54018 63873\n48866 67657\n88748 89640\n46480 59962\n82552 86478\n54931 59022\n83405 92129\n36948 64341\n13067 49519\n12165 27930\n31258 78909\n9182 94968\n40314 72583\n5804 84511\n62961 80515\n47179 71915\n22758 50593\n58446 93603\n20003 33744\n13044 78420\n50756 64551\n30606 54782\n43463 96151\n57649 59692\n43174 50154\n53086 70136\n26445 79522\n16242 38579\n23630 31199\n54435 83875\n50027 59514\n58186 79876\n63810 64101\n25986 39923\n83771 99941\n19064 75116\n40203 67969\n19326 33481\n86759 99730\n27287 97890\n60250 79160\n81176 83522\n3502 33050\n51959 68217\n44126 57747\n49709 95770\n8181 83752\n42586 94666\n21852 77867\n39064 98831\n81219 99899\n21202 52089\n42090 76417\n41163 43898\n39322 93314\n14681 78845\n74587 76341\n2203 53571\n17263 96865\n4703 89216\n29361 38006\n42057 49314\n67254 97620\n33084 96325\n15997 68578\n81245 82790\n26229 58031\n45504 63476\n27230 53239\n509 66496\n73396 94244\n2335 77556\n5698 59051\n81422 86217\n48223 78027\n5081 25805\n29748 92745\n97268 99755\n31163 78641\n53722 63325\n1729 95283\n38394 94223\n2910 95780\n5971 14594\n81046 81313\n41808 67250\n8513 17231\n24758 94252\n78432 79448\n12045 15990\n71550 76668\n52778 57671\n20131 64112\n21454 32755\n17254 89545\n40471 92236\n6227 37266\n22598 96052\n35274 48260\n20269 43865\n31179 53948\n61775 80590\n24714 28949\n50948 68147\n69874 75077\n26481 66169\n4675 17355\n39493 62277\n23239 67459\n46747 71891\n23313 87400\n69740 71424\n1574 25564\n3530 29877\n3070 27967\n25456 41380\n23598 26456\n45953 87130\n20676 41301\n27779 73821\n28448 48257\n19615 90754\n50974 82751\n7047 86199\n16356 52644\n23217 73679\n68494 84374\n86849 92167\n32354 88217\n33092 43397\n3126 91662\n11281 29033\n19391 79903\n41938 81962\n8454 47826\n70597 75508\n8194 45940\n34484 67977\n61696 78931\n4390 49227\n66424 98777\n13409 89286\n22027 78706\n78209 89603\n16032 99632\n43818 76101\n19818 54379\n27751 76682\n94335 97447\n21898 68493\n76802 92129\n29764 76633\n59548 59557\n5206 51737\n73543 76536\n56527 87433\n6349 39281\n18023 75747\n21265 29698\n87630 95656\n58118 70697\n15803 41935\n7141 81862\n44793 67526\n68782 99037\n86912 87785\n43808 96868\n655 55496\n37336 83255\n11151 35260\n58728 63689\n81711 94362\n8022 87001\n10537 30772\n67641 75376\n3870 30574\n81119 99662\n11970 25411\n33631 72218\n5347 60489\n10304 29038\n68777 79305\n44513 89196\n77116 98187\n16596 40649\n23499 55349\n12 91763\n28105 85548\n11923 57116\n5342 29241\n6780 31650\n33143 76751\n62131 62769\n11336 29426\n32088 92285\n70689 98454\n81488 92340\n43923 48178\n28313 97990\n31152 83815\n41796 46947\n32043 48162\n4266 4434\n38863 66327\n39990 84670\n29505 53391\n28906 96136\n26303 88836\n18161 59967\n33867 77632\n28626 74273\n1770 17443\n14488 52675\n58297 67935\n4097 94794\n21897 74896\n22206 33178\n17028 31391\n1153 50013\n36615 52779\n43442 88555\n58530 63360\n62834 92428\n51253 58396\n72386 74420\n7507 49387\n41835 89265\n5010 83686\n58088 89480\n62894 67336\n913 70856\n6575 69074\n14245 68909\n34033 41347\n94952 95394\n12809 61521\n56710 94203\n46172 56357\n5819 49926\n49653 51841\n58355 80054\n14907 71597\n54687 78877\n9682 67297\n4292 39820\n58767 87620\n9808 36422\n1575 74742\n2175 78185\n2810 46112\n49403 93627\n72223 74635\n18228 89350\n18771 79717\n48547 77706\n79613 91657\n10912 27316\n50129 54601\n52335 65914\n63496 81618\n12730 34196\n13104 93033\n83062 98730\n72904 82898\n6408 93761\n13128 63093\n68154 90418\n26808 94756\n31824 70217\n13245 56864\n37309 46501\n70363 80513\n6238 85098\n56231 86215\n4789 78979\n49052 94242\n40975 74188\n75503 97471\n24143 31994\n57701 70315\n23344 83879\n7458 65906\n50559 55462\n58291 87494\n2908 80756\n1980 53206\n1091 64809\n65454 87550\n9812 30789\n56830 78205\n65048 80772\n19457 61849\n60685 85817\n28780 38311\n63152 95045\n75969 78702\n48663 82983\n1624 58951\n12624 41797\n20901 39428\n17140 17528\n29213 84630\n73567 86360\n1290 38861\n52698 67615\n36124 67213\n16402 49577\n27106 84725\n7551 48785\n13945 73375\n36020 98228\n21176 26673\n51803 63647\n30802 70368\n38334 84821\n35694 92063\n571 13741\n23286 63733\n37284 96287\n39100 93614\n44280 92298\n17933 57745\n27260 74545\n17189 36534\n54255 60117\n35911 87508\n91006 96252\n19031 93319\n583 87850\n38326 60851\n28490 89633\n59336 64518\n89003 92356\n64994 93643\n8100 37071\n38046 39818\n25425 96813\n55621 78247\n3079 42691\n12095 36869\n10795 38244\n13205 17204\n32143 95374\n21651 58555\n38397 95729\n7384 20289\n42049 46850\n160 88914\n65865 96617\n57170 70523\n587 81330\n2861 30439\n68450 71626\n69029 76366\n55396 63777\n3862 99088\n40662 49701\n90231 94489\n59925 65563\n24595 75850\n17148 98689\n8832 17228\n28297 70485\n49491 72419\n5152 96186\n2656 85830\n63981 83801\n59027 98336\n58475 78147\n5228 40675\n55396 95215\n9329 80117\n10079 68643\n55080 92246\n30293 37498\n6525 27370\n73360 87313\n65792 95560\n32456 83499\n10537 72646\n71231 81669\n15314 71073\n33385 81261\n13238 79647\n52671 59275\n53804 67657\n55478 62230\n13702 85976\n3352 42603\n29797 53258\n6164 28986\n29741 70488\n15900 24574\n20725 82195\n61882 93410\n90373 93644\n1025 84395\n14668 50400\n14557 51009\n85959 92756\n2934 43467\n520 47996\n28328 29751\n16986 76283\n20099 32261\n1425 5251\n9964 27456\n56319 92180\n13138 71367\n15664 99873\n92455 99456\n68869 70974\n74137 76606\n19541 53849\n9421 97213\n21663 44138\n42886 62900\n44492 81569\n32634 41806\n74865 75427\n25657 71442\n63932 75325\n43201 64176\n22060 57159\n53577 58109\n25115 79328\n18217 70174\n3868 83710\n4595 82589\n7123 70235\n9154 13878\n35888 73400\n79224 89631\n15266 83623\n174 25236\n29621 75062\n88128 99028\n962 2345\n33762 82040\n58689 85834\n41519 66797\n66451 95383\n23996 75159\n65954 89938\n6283 86340\n6124 82764\n17954 94116\n57127 93556\n57003 60608\n19699 98428\n18617 56786\n56621 71023\n54197 94646\n21036 36289\n1858 20756\n25507 90914\n55299 59842\n59399 97131\n13511 45948\n44773 91549\n46212 58866\n5471 26942\n17142 29309\n19807 84478\n17427 66812\n27483 92240\n6031 70288\n30067 87013\n66953 94055\n3242 40185\n78430 88477\n51906 54662\n23169 82530\n9237 18703\n57964 82796\n67112 99043\n52655 63626\n33232 95595\n56929 82959\n6476 54578\n2303 23923\n1038 92925\n59860 86322\n57644 96933\n17243 72976\n85718 92701\n8365 68228\n7427 21008\n83346 88473\n44806 72864\n32674 67504\n40311 89648\n44891 92844\n11193 32529\n16134 91586\n53687 92854\n16618 87929\n28726 43573\n13120 34065\n274 98122\n40472 92143\n31883 63930\n10054 87376\n43295 82753\n2721 10337\n9816 98728\n72948 98584\n44353 47049\n20477 58032\n34796 84582\n15173 77065\n70772 91441\n36066 78833\n42741 65091\n45631 73512\n68578 75566\n59720 73517\n52017 55867\n57238 85843\n61618 85502\n7296 79071\n65754 72088\n14403 66769\n76653 80784\n40195 87664\n43307 67332\n22044 73330\n11194 58892\n69661 90177\n60176 75183\n36535 79095\n15375 88571\n3305 26863\n26410 85126\n6006 35004\n43820 65591\n71464 98360\n70431 86872\n20884 70177\n9253 58703\n58505 72849\n28245 78629\n58721 97976\n12697 98591\n11512 61903\n15960 20277\n48587 53706\n12427 40917\n9429 98703\n12109 70144\n17711 49166\n29844 67459\n47882 74406\n21947 84469\n37344 68898\n52117 76432\n61689 98085\n35166 55822\n43979 78463\n18510 80467\n18367 83666\n13750 18541\n73168 75089\n6947 68492\n53409 94701\n16075 93591\n2536 53452\n46164 63100\n43008 58161\n25845 99111\n20537 87740\n58728 94022\n80058 94786\n24999 87697\n27182 68500\n52928 55211\n46257 68350\n51288 84576\n18425 83106\n21332 29595\n23535 28102\n42731 43346\n2166 80191\n4577 95715\n13887 99355\n935 38185\n15815 87640\n3220 26783\n124 17546\n23907 67682\n41448 66740\n49679 70538\n18607 66862\n38342 82164\n6835 21923\n18055 79415\n6067 23289\n47222 64137\n29964 44202\n70297 83769\n2707 90283\n51298 82212\n7663 88258\n22870 76262\n18176 76377\n1995 65764\n1460 84542\n1112 72236\n43574 98394\n93412 99086\n71833 80052\n2044 31523\n38787 84576\n46128 73894\n29811 54336\n67052 86703\n11320 20148\n9737 53735\n37869 70078\n82008 95256\n10917 78938\n44708 89296\n11499 25228\n22636 24002\n18985 89429\n64031 70613\n49253 97160\n33566 57429\n45771 51004\n15910 54965\n2140 9336\n30302 84030\n77463 81499\n6150 11705\n57713 82276\n20916 86657\n60267 84324\n61465 69907\n28158 97751\n90105 98300\n19556 80652\n13271 17843\n88902 92712\n57968 77689\n26084 72403\n17714 73453\n12032 99728\n48197 87909\n27483 79581\n5395 34184\n6616 95237\n49424 54710\n27645 50212\n165 45496\n945 77660\n70286 82622\n31497 49510\n85513 99188\n3707 38884\n25591 53569\n70519 92762\n13581 36059\n63541 78369\n70630 76572\n7864 40808\n18415 32264\n41106 83745\n31557 76768\n54750 77571\n50560 92298\n89768 92441\n73898 90249\n24836 62634\n9625 63108\n53046 57201\n31408 67365\n3521 35397\n9189 81228\n49177 70509\n67771 72456\n36620 76215\n39032 50935\n9137 35169\n25086 37483\n10858 83236\n38603 99816\n46828 66558\n21451 66712\n46989 58756\n26060 66394\n49507 70216\n22121 64330\n17545 61676\n19870 53205\n16388 50061\n14565 48712\n26227 30572\n26077 35985\n29343 80238\n13400 42150\n67381 88152\n8226 22055\n17787 97315\n14603 16438\n20964 50774\n38742 92777\n13451 96721\n84467 88192\n61418 66502\n8385 58858\n21319 32747\n24425 84968\n41485 81700\n51905 90473\n23946 69240\n11385 58038\n46160 61729\n26126 78198\n14864 18490\n64168 75593\n35537 46866\n24869 99951\n25804 52269\n72848 80786\n9955 94015\n84884 89330\n12517 24363\n17959 56323\n13257 38389\n58869 72194\n55520 71614\n78267 86063\n9577 81400\n44485 58609\n31681 43206\n75476 96199\n2934 45695\n79775 90766\n45331 51029\n26067 46127\n51567 97361\n21909 80138\n66260 95499\n4660 25197\n29587 91623\n39696 42430\n80564 96474\n15574 49033\n27541 42753\n61213 97858\n25810 85469\n4192 96202\n11601 62075\n33841 52595\n38432 60252\n41105 49955\n58457 83868\n40665 99289\n37076 62372\n85379 92002\n13007 96346\n19137 94535\n69579 83210\n24904 38874\n19020 55885\n3609 96639\n65508 78658\n16267 70863\n73963 86679\n47028 91494\n11269 48666\n9833 10534\n42784 63517\n65657 69156\n1698 11029\n46156 82062\n14489 37634\n53094 65450\n36729 90214\n5695 48135\n9276 73639\n65362 84305\n9322 19799\n60869 89015\n13107 86422\n20256 86583\n5371 30288\n80607 81398\n36944 38573\n6143 13301\n12859 24486\n21401 92915\n66165 96171\n20623 76113\n49839 89269\n21256 70744\n67068 86895\n24367 30609\n18776 53474\n16030 31140\n70361 81996\n20642 78099\n33239 39449\n1574 58755\n8305 90284\n83857 95479\n58783 72570\n10999 49371\n41884 67865\n14159 65661\n27878 38592\n3101 25957\n2988 52526\n41504 84579\n42404 61459\n313 84414\n65329 77242\n87328 90865\n89585 91334\n6179 6479\n74992 89039\n37814 48274\n46693 87717\n66472 97625\n16621 24086\n29870 41351\n14165 85338\n16064 21872\n21761 37152\n51033 79510\n8971 33482\n40579 88974\n54165 81364\n17542 20847\n43485 92832\n23976 58853\n61867 89715\n1593 90265\n38753 54622\n26743 79364\n32787 40344\n20423 36020\n43044 43760\n14753 86250\n3616 78794\n17923 84105\n15337 44716\n31215 66127\n11956 90840\n9640 32914\n1587 89024\n45702 66861\n28565 98249\n47513 63000\n15510 15957\n27992 59909\n9404 61666\n19145 88421\n50792 89580\n13510 22659\n27893 45606\n19859 88406\n65178 87629\n13109 88891\n43852 88826\n12679 81563\n41639 59840\n4627 70619\n5157 76329\n9473 16292\n37806 46227\n57169 97844\n33170 90012\n16864 17859\n41125 92892\n50281 69980\n10303 45200\n3479 69753\n45287 93706\n23974 94897\n20843 85204\n38789 67958\n10319 88872\n57956 60540\n68428 79508\n52284 98748\n76508 92210\n22548 66423\n52632 62511\n61247 91527\n43725 79764\n16002 99991\n30161 46714\n2311 84408\n23535 55025\n39401 52258\n10091 57470\n52506 57444\n1128 70828\n75678 87981\n5663 29317\n26517 72281\n13865 60494\n8593 62613\n34802 40034\n84928 92058\n23639 24980\n11617 25692\n36980 48599\n3749 45407\n2358 35608\n47964 53741\n56349 99406\n80673 91911\n9342 23231\n37850 79365\n41192 97055\n27719 67760\n36978 38331\n17721 65440\n23898 28338\n6133 94934\n72412 81567\n26616 65431\n36964 44844\n77777 78377\n33744 55498\n20219 81278\n42631 75481\n19509 46881\n21587 93159\n1317 30083\n26738 99099\n72115 77895\n44062 69942\n16132 26269\n1671 27216\n15271 80504\n3987 25237\n51527 93947\n89136 94326\n9482 53754\n67909 95150\n77727 98107\n50859 51714\n12861 81995\n43045 57099\n39183 97235\n15037 72439\n29034 82938\n24151 96657\n1701 25534\n81758 96864\n34563 74665\n32359 71955\n19578 59526\n5874 34105\n86571 92042\n20380 89591\n47606 60309\n19014 64683\n24514 87440\n79885 96421\n72651 81375\n5456 37169\n21825 98714\n6224 21610\n49973 65873\n3957 81306\n81888 85427\n62764 74728\n53885 78788\n32342 96862\n61598 70920\n22791 90646\n46368 97462\n30023 50401\n10119 57347\n2146 25366\n73746 93115\n40775 95788\n21182 67173\n2603 90289\n4815 41627\n35696 50352\n36841 99523\n11420 53803\n16628 37157\n21027 42115\n61396 79090\n18733 61425\n47068 55238\n37430 61735\n80851 97934\n30534 49704\n49482 83587\n43296 89293\n66833 99535\n9049 33844\n42977 67996\n23031 42629\n85857 90359\n1607 22987\n51756 90093\n31944 95071\n7822 45123\n65625 94129\n21719 56614\n26166 46748\n26191 29564\n64099 72394\n18945 72729\n40520 98809\n32726 84022\n15492 33199\n42491 63986\n71594 94832\n55898 56037\n13565 13893\n5274 65397\n77897 80731\n35104 56100\n26293 73505\n49196 54151\n24316 71146\n74409 93650\n30581 79818\n58061 75897\n10357 39383\n36514 79785\n7219 68137\n41697 76792\n26257 74750\n49514 58588\n9545 88685\n57526 73785\n89749 95120\n53411 98958\n33849 88083\n30607 37556\n81552 85920\n2600 94932\n19738 29276\n42590 76708\n36510 93920\n27137 59964\n22129 57867\n19446 91253\n32703 76843\n3193 39526\n3815 62288\n5014 28546\n5525 40177\n77539 87180\n39681 91783\n5874 74620\n25258 69454\n18003 61613\n45429 61886\n57711 81256\n3908 38997\n27024 74143\n79900 81358\n10182 94662\n39368 45561\n67271 93321\n23686 50026\n53084 94778\n4672 14071\n13730 55146\n2611 26146\n39494 53528\n37995 64620\n11454 36898\n67107 99182\n937 79236\n28579 83091\n47121 49005\n2676 14516\n57660 94936\n19067 83494\n703 78321\n4032 87451\n64548 73405\n500 42719\n8390 26967\n51353 61491\n35090 68353\n10503 38475\n87 26619\n33906 90809\n36478 64682\n41816 72509\n17597 30638\n92426 96577\n12554 84336\n67974 73862\n8111 68660\n65629 82297\n38195 80986\n38542 86835\n9846 49280\n25491 35804\n40 45347\n55319 64787\n1959 13424\n71499 89756\n6639 65445\n88749 90557\n7896 97727\n37956 43395\n27890 68000\n45094 72101\n39605 81540\n24500 79231\n22414 81838\n16455 93726\n30956 51998\n27203 64347\n56545 60952\n37453 42091\n84781 92235\n2107 73383\n26317 86026\n34907 44316\n15067 86291\n39277 85891\n25440 59029\n18388 49155\n7368 85569\n18630 38514\n6709 59846\n1325 17798\n27615 98602\n91554 94199\n20908 96708\n81998 92435\n19377 33188\n61006 65433\n12990 33792\n7806 18706\n25263 47725\n33225 94187\n6483 37161\n23582 87130\n27102 76278\n32052 76849\n7475 56883\n26160 36862\n20392 26442\n49273 78339\n22301 53358\n43737 69310\n1479 16466\n10185 71974\n75937 89751\n32106 89675\n49613 67355\n4387 43385\n44332 68364\n4229 57861\n54 54546\n15429 80538\n24097 98955\n52760 89724\n51564 74204\n16522 30702\n19234 31464\n11278 56164\n7714 58673\n254 32773\n23611 80633\n1033 8142\n19721 77166\n76477 95442\n37044 98058\n75827 80697\n21027 36243\n23978 89873\n55601 69798\n49592 53790\n48755 61012\n38688 99707\n1037 78421\n76175 99760\n26499 61439\n26271 98816\n18084 29214\n67844 99397\n61311 78036\n49506 49745\n9794 40036\n56905 84700\n6234 53778\n33950 50820\n33707 39609\n33131 64310\n22380 43843\n19084 51092\n30134 56977\n85204 91657\n49880 91845\n37309 72386\n86599 90888\n15934 16744\n42220 50879\n40020 76261\n29162 70561\n2210 24852\n80491 83721\n18677 50416\n39307 65013\n73788 89647\n59282 68445\n83946 87993\n16192 64681\n62944 93589\n1455 46596\n70448 98348\n14758 76896\n2250 34511\n32066 69895\n49997 57190\n26334 48874\n2909 98305\n10852 53529\n45710 81809\n70468 81770\n57369 74530\n49114 58891\n52743 83592\n786 82499\n68237 94074\n51101 58777\n10390 28037\n48986 69917\n5918 20986\n30830 56673\n24324 54995\n47605 50087\n15518 15684\n33262 35871\n7254 52691\n52759 73038\n53577 68919\n1646 56946\n74714 92826\n40881 74849\n32525 60417\n21830 23024\n3547 43840\n37836 94768\n63325 67100\n70172 75069\n41009 63703\n17291 99097\n55623 95688\n54573 92217\n33299 94796\n41615 79997\n1858 3124\n21152 69123\n15163 91187\n25599 29997\n47183 93308\n169 41982\n81918 92407\n57238 73831\n36707 62339\n64254 92792\n40221 46404\n3059 95056\n64716 84834\n23393 52491\n30974 44061\n27115 82140\n8647 46374\n12422 23092\n17174 73939\n13855 41244\n25471 29139\n17344 95224\n5000 54603\n28729 69475\n49745 60382\n1000 5743\n21778 46730\n7614 32005\n65165 93454\n56434 65508\n7695 49800\n14082 48077\n55975 79450\n62532 85448\n7020 48232\n16149 95226\n5585 72033\n94512 95135\n49874 96597\n10249 90214\n27704 31165\n76528 92824\n38111 62756\n2248 81702\n6180 76116\n10782 48234\n13901 66046\n29611 31342\n19979 87197\n10209 54895\n38470 63386\n55784 78722\n9582 48569\n54503 73745\n9284 66532\n648 71693\n61489 69797\n54022 85511\n39534 85936\n27359 27412\n20216 31042\n71447 93538\n23781 24434\n24331 43513\n14376 94870\n19153 77890\n46513 85791\n87856 98832\n34375 45201\n30931 43653\n14218 73281\n59605 81842\n67418 78728\n4128 35136\n65593 93029\n237 28741\n28595 86607\n14731 52095\n36280 54331\n57265 67376\n24374 69229\n42485 67427\n5193 20198\n51444 57213\n68330 73975\n44189 53741\n16557 76395\n59300 93371\n9100 53362\n29583 49543\n30191 40540\n55977 99849\n75161 81275\n24702 92358\n34262 52355\n26228 81147\n38479 60845\n19749 51302\n66795 80317\n44906 61042\n15038 64380\n5193 55230\n30882 54470\n36046 92980\n27303 64656\n82707 94835\n55617 95813\n30997 82399\n1192 10372\n17214 75163\n12567 78162\n26871 41876\n39940 53654\n42217 77633\n6925 58928\n10557 63979\n14959 50112\n39009 60739\n43763 72327\n38793 78659\n44428 83531\n52668 75235\n75180 90698\n35488 69526\n38162 92535\n3197 63736\n19130 96462\n15839 64439\n45226 71308\n20541 65070\n41915 70055\n64775 81666\n47371 56070\n48980 99411\n31724 67137\n41008 90622\n61582 64925\n22200 47755\n8450 64003\n18500 29585\n6520 39882\n43563 80364\n3093 26623\n49013 83830\n16613 73496\n1969 47165\n51468 63953\n42341 54154\n32321 70177\n5034 68206\n36028 59753\n8621 32828\n16571 70401\n32024 36819\n44843 85581\n784 26591\n27979 51890\n52219 64363\n7879 78974\n1715 11798\n9438 45363\n18102 69621\n38141 46563\n54450 82688\n29135 40114\n85526 89295\n11064 63729\n3909 8574\n29560 97151\n38040 76298\n37499 98660\n63509 87312\n19755 22907\n78470 90585\n25301 66571\n53031 73042\n40172 76430\n8721 50197\n50764 86819\n65635 67884\n12444 40255\n22626 59191\n11126 16514\n41470 42257\n73185 93562\n28408 38396\n17644 84403\n25305 74222\n13754 52206\n79354 82670\n65522 69577\n58991 67311\n2586 78923\n7351 88856\n19448 36165\n23409 97668\n53875 96143\n12309 61101\n44999 71127\n25975 82880\n71318 85601\n37054 55336\n41018 69958\n27327 92847\n13107 78961\n28272 53393\n28631 87289\n12955 44340\n27215 91699\n31570 50982\n35101 65752\n9864 52542\n25965 92736\n6133 60623\n16315 72463\n8840 22715\n85841 86016\n30073 79734\n22113 90232\n9 62850\n24587 43394\n16447 31893\n40986 61251\n87696 92092\n407 23263\n3170 57051\n21240 37858\n28321 76520\n9002 11980\n32947 89629\n55191 85729\n4709 74107\n41994 97937\n74871 83556\n85852 99469\n12008 76821\n4683 83941\n32942 57979\n66939 68016\n22491 27780\n4385 47599\n2673 80345\n1554 88208\n10068 78845\n78608 89177\n70476 75233\n31410 86795\n33286 52090\n7806 18099\n65511 75791\n64142 86610\n29736 70308\n40322 83063\n3852 88531\n31688 36465\n5364 43641\n62271 88676\n6887 47859\n37442 74989\n8344 77235\n31425 93149\n28360 43029\n18181 75330\n61687 68056\n58234 94732\n50605 96436\n12000 59426\n16718 32974\n21156 61576\n5080 22195\n21179 27517\n78635 87595\n37877 96627\n25435 81819\n63907 74337\n40570 93030\n29631 95030\n62253 73638\n65133 66364\n9928 18395\n46478 66044\n13998 16290\n21834 72756\n15148 29149\n73688 88498\n13641 87048\n22046 27928\n93317 95425\n2288 72718\n89561 90693\n2623 97677\n31400 88850\n20088 54780\n27329 72687\n20189 50172\n9819 38387\n33431 62595\n70181 92237\n1968 16687\n15412 82502\n10784 32617\n12085 87055\n34007 68985\n2541 93876\n8932 26664\n4227 94859\n30210 35502\n9002 69147\n25116 30521\n10708 15353\n8972 32087\n67948 84655\n7452 80677\n52588 61099\n34338 37284\n3006 74232\n10032 71816\n7002 15810\n38975 75692\n32115 34043\n157 87683\n73098 91618\n44423 52564\n7340 25983\n6267 53198\n43301 74818\n12175 61735\n1940 33483\n35148 75779\n76624 83425\n25442 68053\n39686 65369\n41913 81668\n30338 94358\n4208 48101\n34565 81435\n18715 45150\n40990 80759\n78775 94522\n5669 32078\n11892 38289\n5872 95143\n89609 94069\n37424 59104\n50445 65907\n56921 83712\n5934 42632\n51886 66519\n79980 83253\n14976 95355\n5782 71530\n3694 86494\n910 62608\n13155 84791\n61250 87814\n13085 75024\n1757 56124\n50014 57195\n25366 39423\n37911 48610\n17052 17240\n65127 72201\n22284 63020\n11754 44904\n75981 95503\n23841 34929\n49222 81351\n4356 28670\n10084 58000\n58425 62344\n29404 53450\n56935 70758\n60199 96335\n5900 58124\n28630 45547\n55383 75547\n29277 83256\n60651 66420\n26888 66849\n60918 61081\n25442 86196\n35844 83378\n83916 91541\n51302 88332\n77092 78829\n60303 71183\n50451 69343\n51875 93141\n54115 63916\n37043 88958\n1301 28455\n22801 91261\n11843 54712\n4260 17977\n13928 79946\n45226 69978\n20624 58175\n15212 69800\n37854 63918\n26812 75574\n43065 46314\n44820 63601\n46634 66546\n49797 94089\n44113 97547\n25551 49798\n40960 63354\n4057 28604\n64 36525\n46543 93801\n86074 95169\n3761 14089\n3429 99100\n26207 94543\n38538 92944\n29084 84242\n3214 39176\n7727 16578\n44794 81081\n3950 57524\n3711 64576\n4684 28120\n1548 2848\n73550 75116\n82505 89687\n67002 74277\n27074 29654\n2471 8083\n29061 54230\n32367 64920\n30077 38839\n12763 65619\n36619 82639\n19610 41514\n23170 27317\n12464 17911\n90405 97541\n24333 70488\n37462 45214\n9488 27584\n9573 11105\n4532 64713\n29282 99358\n22108 37550\n5530 30428\n54819 67085\n18681 86068\n57277 97653\n30898 52392\n12895 48077\n12988 95943\n43732 81734\n59444 77189\n35107 65011\n73338 82308\n78342 85621\n7282 17481\n42412 43964\n14786 27006\n13346 74779\n31933 86741\n43633 62994\n19211 22271\n43157 74072\n25647 80812\n56831 74614\n29284 55649\n32106 69788\n869 64671\n75495 79891\n9884 88385\n65479 81541\n38177 59339\n27187 83919\n51347 98583\n20817 66704\n50256 62211\n30163 51176\n2768 73644\n7972 37900\n89147 97053\n95436 96335\n89186 94747\n53856 65749\n25175 58342\n46417 70646\n9582 47494\n2964 25685\n24874 74720\n11498 46370\n26476 63088\n36491 90257\n14468 32076\n51097 62344\n71181 95204\n2647 20635\n9475 84793\n42243 84186\n81337 93502\n2208 9886\n33709 53765\n54998 62596\n14227 27550\n2410 51738\n3892 11736\n41313 46013\n65477 85504\n4252 41896\n33082 62608\n9158 64703\n6509 28509\n65075 94059\n50636 70431\n15014 39349\n51307 88645\n2414 96679\n49602 77017\n44338 50655\n2669 68098\n2695 86562\n53345 82103\n38587 76919\n1589 82556\n89133 99313\n20033 41932\n27534 48009\n16436 63490\n33187 91187\n59428 67187\n2280 13258\n23507 45763\n40283 65735\n3944 28225\n14027 40363\n7785 90085\n9553 24748\n63952 91466\n34321 54661\n89869 97878\n48407 79457\n31256 53031\n19983 86258\n16492 79683\n9725 12074\n52960 62219\n41398 45384\n56505 81155\n14954 25834\n19454 34958\n22503 72111\n86075 89441\n64982 78348\n34867 39574\n755 64889\n20033 29748\n11795 22363\n9018 89942\n14470 88562\n21302 95954\n1132 63167\n3329 44733\n1501 12538\n8198 93315\n16122 46422\n72404 88526\n81017 91740\n7947 69020\n8780 57391\n19730 30557\n35031 84378\n39863 52172\n4009 65042\n59912 81858\n56248 99944\n68237 84756\n38856 72245\n1924 90518\n13481 49900\n71810 80237\n42528 44943\n16495 95346\n20801 52329\n54020 94299\n36049 72441\n38597 98614\n29514 41015\n12238 66319\n18479 27674\n33107 70038\n6193 65809\n4952 68413\n12424 58176\n10054 47742\n510 12226\n38931 92142\n59918 98477\n28441 46705\n15335 23806\n42586 92237\n7868 11709\n7451 16770\n8685 55798\n16510 18262\n32455 73574\n24900 48134\n6497 74270\n35002 57067\n7040 49904\n9654 53644\n46174 87991\n40575 77631\n53004 59840\n68331 94785\n11362 81188\n20930 30786\n15226 28070\n61983 70848\n36529 87924\n17818 55758\n7800 47413\n27337 62916\n21340 30887\n35532 89389\n32675 60706\n38143 67055\n9761 68468\n51081 84139\n46231 61334\n19330 41941\n12795 45885\n9143 25580\n10899 42992\n12175 19357\n37098 68371\n14504 74074\n37607 45563\n6866 41346\n14509 68630\n2356 90332\n10022 88933\n6067 35110\n40636 83655\n27277 41530\n776 7695\n58010 88504\n69479 85803\n12026 29671\n14435 86215\n55400 80792\n37619 93253\n48007 94100\n42748 64065\n43616 45686\n38765 69130\n24329 68522\n72052 74702\n44947 47455\n63052 94598\n22082 91184\n27780 97741\n89511 94780\n6349 19373\n48734 80628\n5800 93258\n5548 95700\n62707 95556\n20947 53443\n57672 78111\n40313 99196\n10021 59449\n15503 46684\n32342 35983\n41005 77479\n19555 44383\n62609 94625\n8533 95966\n22056 76754\n22217 23220\n27343 42585\n60923 73081\n72216 81115\n20617 75704\n27161 75393\n44734 71968\n5326 6872\n8764 57397\n65088 97782\n75593 83730\n24898 87982\n12710 87359\n21162 83708\n49106 62494\n61895 92310\n88793 92625\n33836 77285\n4679 75131\n12367 57265\n51650 55964\n27324 63512\n76410 86420\n28930 86994\n14202 79272\n6745 48335\n20022 35687\n25889 36938\n63286 76206\n61473 87508\n84699 99388\n41160 76496\n187 17773\n18835 28841\n11019 72966\n66082 90995\n55332 94953\n67823 71865\n11919 56564\n14617 58326\n374 66755\n30524 57858\n41739 73681\n41494 90563\n31721 58924\n66408 93283\n14179 98840\n27263 43192\n42061 84097\n6896 93162\n10643 24337\n64618 84741\n51509 90273\n5321 67482\n74627 94462\n15090 22373\n26038 43488\n43034 68607\n12447 47770\n22082 40049\n32224 57250\n24542 28706\n66989 84967\n65534 82412\n6962 62198\n2948 81140\n52294 89726\n1788 1876\n19984 32031\n73717 97486\n2174 78192\n18331 28980\n437 9697\n52724 86691\n20654 73453\n53968 60395\n13031 54339\n44529 59952\n26266 56427\n23653 26427\n16512 19350\n54559 84140\n52024 92121\n11849 33975\n4358 33774\n16374 79580\n71342 80279\n91461 96121\n59270 63864\n49532 92884\n45452 49011\n13959 86671\n12062 18432\n4020 95161\n31360 52822\n24797 45679\n4644 38335\n960 46422\n3953 52589\n27003 57861\n1299 79903\n59833 61374\n25422 28975\n19712 87740\n38007 92971\n74694 95978\n92625 93623\n12205 90089\n15338 99945\n41715 43448\n651 82605\n463 69015\n20756 77827\n14566 43476\n24825 39303\n4527 86287\n53805 59554\n8827 97252\n7354 21379\n41607 80040\n49677 70066\n41251 84326\n49996 90721\n41781 51327\n16145 78149\n40103 92786\n23027 61162\n74676 96980\n16217 20787\n7128 20332\n51274 66463\n49283 70405\n49528 69033\n29682 70580\n19776 76369\n16546 95376\n37256 47518\n12555 50276\n31990 95705\n13001 56210\n29289 81757\n65743 79862\n60992 98146\n7198 16890\n56321 82862\n67111 95927\n5888 69814\n38470 43601\n20153 77037\n21163 30430\n53112 55058\n11056 92471\n62451 71178\n7434 79186\n30385 90702\n21730 28003\n9810 62027\n1178 24665\n24533 73041\n22486 63938\n28041 43328\n16015 69357\n45079 46201\n88149 88256\n80668 82327\n61924 88758\n21416 29370\n3781 72001\n45160 71092\n21133 37593\n24309 96474\n23589 96043\n21394 86738\n9158 47515\n11100 62335\n25073 90362\n47778 56445\n17390 24363\n10868 67642\n4489 51422\n59528 95304\n2115 92614\n30356 98697\n16942 86415\n4834 26672\n25706 47637\n41228 82729\n65705 96043\n179 4899\n8791 53789\n27528 60276\n58621 94324\n66615 68805\n6039 87571\n8975 92292\n3422 39092\n16436 46832\n12347 16418\n29494 58818\n3890 24793\n37119 57065\n1928 38587\n56474 93404\n44691 77718\n6366 14872\n27116 32978\n8760 46445\n17354 87558\n54614 86094\n32588 80778\n38086 49347\n75811 89509\n18349 46881\n69403 77861\n11927 76874\n5331 26947\n12541 72430\n44582 85739\n19263 26809\n85682 99045\n49448 89833\n25410 73797\n47128 89230\n56749 57376\n1516 62711\n28170 99271\n259 52412\n10030 22322\n20860 24822\n44786 66489\n43605 77289\n5168 43256\n57323 85938\n36567 86682\n71465 78068\n45553 80936\n9133 9493\n4545 55651\n9107 33218\n67489 88370\n20403 60053\n24610 99645\n36700 82062\n4659 51494\n67191 67952\n29761 47563\n17988 51272\n34810 89143\n9600 30227\n25941 99310\n33695 82872\n30649 65202\n62705 93888\n44308 68284\n86451 98797\n12884 76892\n7342 32805\n6736 83123\n5268 89162\n1836 88343\n9168 35708\n64281 79966\n9995 35952\n20815 25608\n21610 71062\n8906 40365\n30667 44478\n48500 71182\n28391 65928\n11128 52506\n53373 72478\n22526 88731\n20343 52801\n38289 73028\n47082 58039\n76388 81644\n55233 80610\n29700 54508\n797 57319\n30687 52213\n47721 59945\n3816 99108\n65971 76480\n45260 63792\n16416 24328\n17249 47387\n59866 74099\n25294 81417\n21257 73839\n1300 35323\n57928 68323\n4585 29929\n57016 91184\n70088 94896\n49014 98338\n2395 58494\n34548 44497\n7115 58520\n1616 52108\n33533 50635\n36405 95762\n42949 65144\n15388 29076\n88784 90567\n66343 69460\n6940 68313\n26524 90345\n49236 78199\n14358 15036\n8914 40268\n10758 89129\n50688 54218\n24221 72796\n1638 48213\n12205 90490\n10298 73392\n14417 53906\n3312 36598\n19522 89556\n45770 53008\n23308 85652\n3472 42431\n42381 96119\n21602 87030\n15786 45801\n2905 88602\n69586 86048\n83038 99880\n51392 95260\n33666 94751\n17486 19470\n5076 38772\n58336 79235\n28773 50487\n14067 62393\n17831 42936\n7782 30977\n30600 64430\n81696 97050\n62695 80427\n8305 38341\n34769 80200\n28162 88486\n25917 52293\n69704 77604\n30703 33528\n5592 75584\n17098 17615\n62859 94519\n77371 80552\n2669 13053\n58816 84759\n44588 60938\n5075 45878\n10723 98701\n8772 94828\n8980 24573\n62200 81540\n23063 83949\n75823 91899\n15002 96289\n67281 71621\n53255 96253\n1110 9711\n8203 39183\n74750 76731\n553 29508\n37508 80966\n1316 10985\n38737 95802\n16992 80800\n32176 64800\n5182 84506\n21970 96904\n53137 62830\n39559 94967\n12485 83357\n37925 54819\n42159 71553\n18878 54295\n23681 51310\n6561 16575\n19058 22642\n4808 75492\n49976 54216\n65523 82567\n66237 92341\n7820 86312\n4443 34185\n24790 95360\n41924 77277\n56249 71597\n43273 73953\n21242 32471\n22228 64347\n55366 62390\n33920 87608\n41740 66739\n29196 56460\n38515 79299\n86468 93221\n13518 75224\n29626 39883\n21195 64719\n56397 83996\n75717 98393\n9714 70617\n62150 89580\n28278 83484\n73911 81118\n30094 83938\n17354 34994\n41272 79235\n18757 84976\n22250 65644\n11284 18355\n2001 96777\n26640 90921\n95779 99647\n52350 59901\n38316 79263\n35339 57863\n41823 60171\n22658 40838\n58955 81660\n9351 39253\n75648 89921\n51472 78676\n19609 52285\n20587 33597\n39675 83800\n69188 72139\n60916 82828\n16449 67097\n16860 53515\n16378 86717\n29225 35278\n65052 87539\n63682 65638\n16154 40752\n40741 74428\n31728 39884\n40841 47525\n17471 37115\n57062 97075\n25425 66693\n49173 70223\n5169 60154\n46911 99546\n70687 96206\n47119 80032\n61449 98110\n10080 77776\n14150 74644\n14427 95024\n47651 83174\n19559 25543\n56718 74389\n43290 81973\n27838 83821\n72800 89384\n37375 58875\n35750 73597\n35601 73757\n31129 42050\n78091 92097\n57440 92838\n2616 33373\n33054 37574\n42857 47719\n36508 66820\n6757 21381\n90775 91975\n1521 11010\n42197 94196\n95196 99338\n61297 83335\n11585 13113\n37151 43525\n80971 94872\n64954 71568\n2507 22998\n21788 48710\n19501 45575\n35207 58269\n31514 73606\n62363 83770\n39350 83091\n89712 92371\n43819 94849\n15957 43526\n19461 23057\n49602 63240\n8419 30032\n27048 36645\n9679 26710\n48172 68011\n42148 52154\n57890 97550\n64084 97625\n7583 18203\n24872 54007\n57563 87923\n31849 99715\n39378 47541\n10059 30988\n56641 66180\n48953 75874\n72844 86897\n1240 8998\n85929 88957\n10914 89738\n39437 90610\n40391 40542\n26683 93039\n20041 39660\n1396 16850\n9819 39140\n3415 96719\n5357 53751\n90846 91837\n13194 90486\n15287 28543\n18422 88144\n89062 94671\n39055 79267\n26222 27513\n13069 97857\n20686 98525\n17288 98218\n4232 27211\n4550 89303\n65840 99159\n14288 46492\n47172 67961\n1411 82805\n55130 90998\n83158 85061\n38196 69753\n17066 69556\n25733 65097\n5088 52216\n18102 35300\n41647 83799\n9762 43042\n31145 46577\n44427 59156\n53794 55290\n80652 81673\n22146 34696\n37182 73961\n90316 91857\n74038 97662\n78436 80330\n3361 24023\n3917 55292\n45369 90531\n12754 66399\n57427 98925\n15162 56019\n61643 72923\n40566 63151\n12791 68439\n43035 58399\n38219 96520\n35491 79608\n18141 33949\n5821 13449\n49145 83245\n7 749\n6539 76573\n15457 50548\n3197 21591\n18060 66849\n3238 24247\n84747 91072\n75154 83198\n46991 82966\n1472 99873\n58300 79193\n18910 48357\n31878 42126\n3960 50547\n8860 23520\n36434 83084\n45281 75354\n34466 36592\n19569 59472\n11848 56266\n17227 32440\n23033 58810\n18879 57709\n31104 33957\n17163 97600\n41357 52748\n64475 69596\n5803 48059\n11030 96100\n63315 93762\n34114 65337\n44921 71924\n8931 31477\n39264 90159\n13111 37129\n56511 84374\n20395 30410\n27583 72439\n61567 69713\n72407 81421\n48242 48864\n4285 32230\n42534 68805\n26165 27380\n17660 36442\n1624 30927\n8538 64851\n28770 35078\n31750 54575\n21073 44287\n37928 52468\n96443 98208\n17569 91694\n14355 20408\n14013 78985\n10207 14490\n71673 92343\n22898 70611\n41099 47927\n18386 79627\n74515 96047\n43155 45240\n70490 81840\n13724 62491\n29430 31208\n6149 51446\n43411 54617\n82414 94868\n19592 84173\n46336 77033\n10375 57402\n56717 73840\n31041 90996\n16891 97620\n14891 59002\n13737 93308\n57423 73881\n47218 81873\n1945 2144\n37364 93507\n9009 52294\n5927 90677\n57198 57545\n29227 44418\n11789 99415\n66284 82053\n63169 88951\n3737 74902\n29328 75269\n49819 84485\n88805 95893\n54423 86377\n13647 68088\n3099 87735\n2021 33183\n20703 28067\n33381 70674\n24323 91649\n20795 71066\n9918 14075\n56874 68599\n61531 91423\n24090 70333\n21654 80790\n67394 97157\n51062 58223\n48565 88944\n23775 84343\n6892 31314\n73476 87994\n59338 73070\n28960 61735\n45291 58778\n5979 10930\n34239 76312\n12443 19539\n41071 56849\n35988 67214\n11836 93791\n39849 78112\n6556 13597\n48274 68398\n12230 54857\n42825 65427\n38580 70088\n44836 67967\n29575 53988\n33022 37856\n37794 72159\n58907 85891\n70022 85173\n5932 10928\n43537 50159\n44213 59563\n59720 97803\n53294 63093\n67097 74147\n19097 23930\n70179 75868\n84939 95228\n16152 52554\n43175 89592\n23173 77400\n31839 40576\n10854 99099\n51051 56181\n8686 84103\n43052 49279\n3514 46785\n21139 42663\n48766 67292\n39687 78641\n9106 70475\n23529 94522\n50318 68559\n15722 66274\n83146 95088\n11953 37817\n9015 15448\n73707 93607\n13098 90838\n50547 73388\n14796 21559\n92825 99959\n80374 94401\n13442 43920\n38360 58344\n35333 54770\n13624 44109\n19507 31398\n62186 86089\n58734 80691\n12236 90156\n3307 15299\n51608 75680\n86990 96805\n1455 6175\n16347 47890\n7658 65626\n59614 87592\n31489 87826\n21133 47232\n3322 34293\n18146 52111\n44285 47211\n22538 45400\n6790 19079\n51158 89774\n51173 63976\n68477 98733\n49565 98983\n17356 61571\n38372 97099\n8496 31083\n45124 94880\n28230 98211\n59285 75839\n40671 92802\n24565 96253\n26313 57966\n5929 43322\n10539 61334\n24657 78462\n60997 89930\n14816 16077\n17922 68896\n32265 38367\n3881 47509\n50733 84015\n48174 60429\n75417 95623\n76727 94949\n24003 57290\n43340 52323\n2613 58978\n70862 83580\n43615 44401\n360 65037\n7109 81416\n30993 88710\n15630 40909\n13044 71699\n40227 44305\n26551 36644\n48774 76831\n30710 65692\n12468 67283\n32814 80409\n55071 88109\n44525 79588\n8613 77180\n44804 56381\n14064 40483\n58272 72427\n90356 98457\n65319 92730\n37779 57078\n5136 56388\n33649 53454\n14319 84158\n16785 40043\n47348 96252\n72429 79802\n93 97528\n6054 79901\n39583 45882\n30264 62402\n56939 66790\n75477 81060\n8106 24760\n32963 84895\n3083 81741\n16125 73775\n23794 90051\n34444 49723\n55222 85959\n53046 77022\n88756 91645\n5061 79703\n20522 98222\n45098 89949\n82046 87551\n61862 87858\n46664 78308\n27489 96611\n39004 52537\n24875 93827\n69642 70193\n17755 85012\n303 21747\n39142 94008\n3568 72582\n56954 85578\n8041 38753\n30059 74927\n88429 96983\n66491 88659\n38344 43678\n18159 49871\n7383 36099\n13152 34349\n12965 25438\n28252 39021\n17900 66166\n32971 96127\n56275 59274\n46172 65151\n41521 45162\n49025 90767\n14004 97827\n8176 97547\n3902 52426\n34249 57279\n24958 27599\n28406 34196\n53557 60160\n15954 74846\n69885 83039\n8474 80449\n18660 43522\n68834 77263\n61607 72847\n15924 86659\n8614 62698\n23644 36557\n63842 65884\n95035 95264\n26157 96074\n22570 56159\n35825 73440\n73084 76955\n53990 75412\n26818 64319\n6806 83140\n5837 18648\n30267 51856\n16592 98455\n12047 70559\n52138 55427\n39311 84686\n42323 74083\n54797 76693\n38570 92712\n12812 50830\n24617 56771\n37281 90737\n27513 35252\n38984 80042\n18917 83224\n25125 76526\n36186 44064\n1082 69093\n18381 61693\n7738 76025\n84627 94714\n30702 95904\n51670 74884\n39824 58990\n1507 12596\n14696 30813\n34870 79379\n27544 51538\n17040 61430\n61155 71542\n57661 85124\n16963 82464\n31914 52001\n70283 98313\n51480 82034\n26114 53115\n24094 35241\n47521 90741\n23385 51012\n46392 97656\n60725 72744\n11636 66506\n34281 90229\n2464 95269\n33950 97956\n31792 38611\n6642 76192\n46103 71197\n4832 5371\n4486 14388\n66594 78060\n8352 75809\n45858 80926\n22155 41614\n708 76165\n71559 88178\n48233 98621\n82080 84420\n40539 76866\n52078 83948\n13413 52985\n65812 98468\n90281 97089\n10798 13264\n9773 54644\n47665 97065\n5408 53916\n8485 93466\n12810 29627\n27387 99086\n9716 46823\n9092 78181\n15465 79812\n34890 38313\n37368 56854\n66273 92244\n666 40613\n9737 74398\n63639 91904\n65384 95144\n2249 27528\n25138 25847\n78693 94335\n30181 67985\n15853 19995\n15644 33088\n38317 44360\n21913 61730\n61185 88314\n70220 78889\n47150 66471\n8618 34917\n60480 62006\n11790 53644\n38482 42321\n26829 63233\n79429 96553\n38901 77743\n30767 47653\n71960 85602\n10004 93092\n16161 48929\n14957 78612\n85187 97940\n28145 45277\n9767 56130\n75103 80398\n13887 66088\n42349 63656\n10919 30155\n48060 60018\n42776 45330\n4876 70806\n44527 90084\n29007 79807\n221 63336\n23649 75497\n65908 69262\n40379 70016\n47135 57599\n5121 60637\n42903 62373\n18005 98383\n26904 46153\n64338 85679\n17473 27380\n39901 84554\n95532 97850\n30014 53017\n73236 77605\n29993 66662\n77468 88432\n28426 92733\n145 6110\n84010 94404\n10388 82164\n2146 98991\n9655 53363\n22133 88478\n40488 58427\n29999 92212\n50660 68231\n20463 55860\n38972 45497\n22602 65728\n25698 65396\n37412 93733\n38447 75767\n23808 71438\n32187 82517\n14225 90167\n7499 28043\n6837 65567\n67277 95132\n74973 96758\n3932 83421\n68570 78625\n41053 76835\n56287 82519\n32152 86219\n68979 78273\n9356 16589\n3857 5881\n46626 78740\n56913 62522\n3668 98487\n73626 82286\n77632 87154\n32023 67018\n64130 69789\n28283 53372\n12606 53174\n22303 97419\n75140 90570\n32892 95045\n33742 91540\n10204 59775\n38139 60989\n74518 86740\n12019 80936\n32293 42624\n22516 60390\n23635 97348\n46022 80768\n14924 29616\n6729 26410\n66462 81753\n14206 45696\n22754 48980\n84948 94990\n22252 61967\n32362 89203\n5027 31679\n23492 59611\n3480 18723\n32365 71556\n12374 27902\n23034 49055\n57791 86932\n57034 68259\n71682 97840\n26949 37792\n43989 61539\n33003 90756\n40215 77042\n55958 91348\n15565 37375\n67391 94509\n76222 82407\n20386 64312\n74203 79081\n41277 55865\n22585 43756\n32332 56920\n28107 62759\n16524 63490\n3606 10518\n43000 43708\n22965 79157\n58442 97597\n1447 13686\n48984 57404\n33025 80612\n3354 32907\n32097 89602\n71881 93521\n20032 96460\n8906 96822\n24264 85726\n1906 81758\n82528 86033\n40536 80377\n8714 95745\n14887 71093\n466 3954\n37729 43749\n14567 82419\n28517 58386\n17385 39385\n19892 47277\n28790 97099\n52062 82777\n68576 76456\n7237 45848\n27695 81464\n29183 35105\n6289 67882\n32385 75489\n20103 86045\n32245 35813\n49985 82530\n30198 93966\n77408 98004\n21846 31664\n28903 52859\n23244 25934\n48331 56775\n26773 41721\n24966 70247\n43122 64645\n28666 28963\n10478 41954\n35764 72581\n85499 95070\n15953 90334\n19364 71577\n9023 15046\n80390 86589\n42011 95479\n42313 43671\n59999 93000\n33123 72133\n4686 9638\n41238 74842\n47193 52091\n74508 76073\n54002 67451\n44947 56788\n2543 82778\n4680 74780\n14627 32530\n95495 96185\n25935 52392\n15953 33653\n27709 97995\n59765 88134\n3920 42784\n77154 81607\n13202 64214\n7771 83696\n33747 36904\n30065 48639\n30013 82652\n13367 74701\n76251 88912\n7337 35779\n20012 72260\n2753 85391\n22083 63622\n46662 99795\n65563 66631\n43426 97821\n84848 89272\n46323 92680\n6562 36290\n34415 90284\n16943 54688\n8041 18658\n53134 58410\n74715 78867\n58912 71224\n6110 84540\n9651 62146\n22917 30033\n47388 73486\n9952 67364\n1163 75239\n11556 38445\n3023 82265\n17399 65363\n38309 68141\n11631 95291\n43780 82683\n48295 76348\n9009 80374\n36239 45961\n55007 73227\n48805 88245\n20492 97342\n31265 79009\n30175 37325\n15061 84651\n24354 81004\n7649 50817\n48406 71574\n86099 87774\n50419 61973\n20115 53294\n18105 65066\n24289 71225\n56382 75239\n19165 64563\n11763 52294\n4876 59818\n8090 82508\n32243 83695\n44594 83725\n11077 33830\n13990 22172\n4267 72322\n85821 88404\n51239 84501\n40204 47853\n2619 92145\n35938 79362\n7669 11877\n33827 49027\n14410 65649\n70199 94063\n17282 77489\n31961 32613\n23738 74935\n28613 83853\n49363 77396\n56158 64607\n4804 55410\n26305 47302\n17895 28189\n34702 91363\n37332 86381\n79351 97933\n92172 94383\n6882 96122\n41194 78579\n19282 99383\n67509 94978\n6368 96202\n25006 41792\n25913 86785\n32288 51164\n50527 68881\n62047 82522\n31736 99391\n61348 89735\n7278 60154\n63376 89129\n43081 60044\n29422 47420\n19524 35851\n51431 66358\n87963 96708\n7676 98088\n78031 81772\n28050 78055\n8549 13373\n39233 98861\n51952 88400\n27590 91943\n47620 74260\n34399 41982\n9515 76344\n72307 81729\n24776 89670\n52523 98222\n59630 88994\n2356 41081\n4260 97980\n36555 82760\n96028 98948\n20102 91009\n9655 64544\n4851 37727\n81516 82849\n18371 47157\n54897 97379\n33970 73542\n42554 48072\n17136 50864\n5934 90491\n50947 81184\n32185 51689\n70988 81136\n38789 67427\n52294 97392\n21072 77086\n16886 54837\n39277 89436\n34127 75161\n13351 30648\n25859 41880\n14758 99832\n27821 76796\n7465 40251\n67710 94057\n96496 98983\n8679 46069\n435 74097\n15590 81265\n27218 73303\n41314 71503\n10101 78371\n48244 72410\n94 86056\n20135 72362\n44800 99362\n57542 71853\n59837 61781\n5097 89024\n14345 75864\n40144 81526\n48659 58282\n27482 28758\n24281 31670\n52295 81726\n16984 79248\n60372 87465\n8544 45679\n40668 80843\n11844 75082\n13981 68430\n2670 75401\n61360 65455\n23410 29336\n70768 94934\n46046 74303\n11943 48646\n73531 79314\n38746 42476\n39608 97068\n18710 76047\n39093 42602\n3226 88798\n16052 94023\n38966 93344\n35679 63079\n24256 62906\n62042 96453\n60134 74693\n339 31861\n33491 33495\n39948 63977\n30517 43473\n51748 96247\n34443 39874\n26699 58907\n23708 85582\n52264 75090\n39777 56924\n20696 59627\n2974 40386\n62603 65135\n46307 59455\n38639 41562\n54375 99627\n76522 79051\n66259 98517\n1830 91773\n16222 42054\n16384 34234\n5918 17205\n41577 96221\n66417 94494\n30148 89566\n9657 82254\n17368 43830\n52939 76155\n18514 79494\n63673 77107\n36728 51076\n16397 84404\n21578 50601\n81629 94108\n74628 77785\n54777 64442\n21954 97270\n1270 85956\n15007 67477\n61115 97154\n36828 96708\n3513 57366\n4442 56395\n34749 75281\n12310 33277\n29303 38120\n72407 98807\n10515 14067\n44135 79734\n16022 72939\n33354 33771\n24325 98068\n38558 75721\n23888 60500\n39393 93839\n7261 34782\n47325 74857\n65732 71668\n11319 29735\n16074 95907\n21652 26678\n33806 56459\n16897 78666\n69773 98820\n2280 31830\n45531 85799\n27888 86248\n7351 68615\n42661 48213\n18322 55238\n43036 61849\n39595 45721\n58175 66761\n33749 61896\n61007 66225\n8467 27805\n3861 93716\n33655 52015\n55794 72559\n24982 36130\n22905 64794\n51921 71476\n1157 10855\n55672 99675\n67300 83328\n37131 68552\n17471 99111\n1444 71876\n80316 93503\n75139 99668\n37529 82250\n70619 77844\n24993 58787\n14129 27419\n51536 60230\n44767 50334\n37887 94406\n25115 47799\n13849 51131\n64263 64356\n8726 28276\n767 73486\n76041 84374\n19792 46775\n34122 48756\n74549 85909\n37601 72827\n4725 7137\n12922 14522\n64925 83209\n27710 34108\n25558 98488\n16119 23691\n52599 54369\n44622 63027\n15290 85544\n12146 24567\n35374 71860\n15176 35675\n85835 87586\n12392 99205\n7487 13405\n45552 56957\n55018 98963\n30135 86277\n2837 40700\n28461 44760\n21923 35995\n2259 70478\n6023 79782\n71761 94987\n19258 98397\n54404 56713\n15225 63852\n46684 87224\n12062 71172\n38061 52684\n58449 99460\n64796 98955\n3841 28903\n49856 66296\n48261 84992\n55762 79948\n35928 82895\n43828 45700\n29720 71455\n17397 60577\n206 33056\n13518 44522\n36851 93051\n38078 64410\n50797 91754\n13506 53670\n55155 72167\n10798 62915\n3012 6267\n369 71093\n76360 97983\n30273 90108\n3724 99335\n25379 46968\n9042 60394\n57388 99222\n5719 97208\n48843 52077\n9420 44893\n1818 76630\n13824 57768\n1209 63789\n4370 7970\n25920 72022\n30703 49457\n45643 94497\n29652 38602\n39241 48272\n7991 44433\n4629 29745\n1035 30176\n16677 54599\n533 52664\n52603 91185\n16990 77126\n6140 82591\n25317 31575\n36228 60555\n655 98759\n64257 91373\n26385 39404\n320 32250\n32795 59544\n19119 82145\n12745 37657\n3715 18481\n9149 52897\n32994 40271\n10570 16699\n76099 88353\n27718 55473\n33761 41554\n8698 88271\n40024 72414\n36718 99028\n28987 43707\n43026 76361\n5735 28403\n16412 17875\n22994 23926\n15205 86838\n27614 68510\n18668 36750\n63169 98821\n37419 85965\n20499 29251\n65807 80512\n178 90215\n35670 48491\n14342 67194\n30968 85896\n52731 78512\n81755 92480\n26099 86274\n10539 60442\n15595 94393\n28644 29306\n48658 65264\n29725 75457\n58880 94201\n16814 32736\n25792 74993\n34647 42507\n19033 63549\n22699 42321\n46410 47321\n14930 56906\n18800 96350\n20066 53676\n20615 83616\n12250 80174\n31655 63620\n1813 35774\n33490 63443\n49525 67616\n18767 78354\n63088 63190\n10714 29464\n8431 91492\n42536 78328\n12817 95180\n7545 69041\n55994 56883\n24431 95628\n11 56419\n5823 93337\n12325 44089\n77156 86658\n15424 89635\n87005 90385\n76275 90375\n31949 54411\n13043 74455\n4034 54106\n959 98491\n1847 12188\n55739 87348\n19012 35718\n69545 76704\n6001 11646\n37666 91106\n10384 85695\n12934 90613\n49222 98444\n11861 36543\n31576 39526\n6957 94979\n50680 70613\n28855 39348\n97551 98335\n11684 71421\n30677 84340\n1136 98127\n32478 77762\n38692 85084\n6656 89706\n82885 85220\n24499 53811\n26905 77034\n11146 79006\n24856 25228\n23436 56573\n73107 79612\n49659 80848\n2719 71727\n10949 17068\n17576 89603\n18145 76813\n15192 58630\n4504 41317\n16814 17483\n15140 91777\n332 1358\n58622 77885\n4016 12130\n768 40634\n8826 85757\n1981 55830\n74939 84199\n14601 26538\n20760 61634\n44690 67037\n3409 37589\n2182 16025\n9798 53641\n52353 53240\n9184 47931\n13291 66637\n37865 64219\n41972 85616\n35675 42652\n16489 75183\n62677 81557\n28398 42736\n74593 84359\n55710 95434\n69602 96093\n51122 83081\n50248 68728\n20451 61508\n45569 97995\n20311 77105\n1988 11206\n66757 94702\n76482 97487\n5101 9100\n7424 13749\n45870 86349\n26376 67503\n15604 24254\n29580 76123\n40497 64916\n37830 62882\n31574 70184\n17862 62274\n28096 96822\n21959 58793\n83729 92278\n26094 72060\n27132 85091\n30285 44893\n37071 87007\n73728 88616\n21782 94730\n24855 74305\n45185 50556\n37041 97741\n46657 77839\n72284 83361\n23804 35863\n8989 96421\n73828 96653\n1895 16074\n15576 17759\n14779 83097\n14651 89386\n60357 90290\n40003 98707\n23832 89718\n36533 55383\n83018 99821\n17873 75629\n3519 82351\n22215 88812\n16166 57821\n16260 64860\n2219 67950\n36345 69646\n685 27561\n60058 83854\n24227 41301\n22903 54855\n5162 13872\n41372 72651\n15453 32094\n52962 68435\n20197 20936\n74781 81976\n20914 72324\n83933 90630\n9638 41009\n10300 85242\n57913 91701\n12194 45327\n45147 90136\n32722 81787\n48170 69356\n44204 55071\n24450 41864\n27469 81903\n12482 27203\n62399 93603\n6273 10733\n16738 96282\n41846 69057\n66288 89624\n34860 36973\n58443 89064\n4906 40409\n9548 67911\n24268 88326\n14181 37191\n15031 21926\n52310 94741\n10446 60238\n14707 78347\n19691 26356\n7946 45981\n1435 66009\n16335 17780\n99010 99565\n54884 96072\n34406 55847\n23106 88273\n62698 88229\n24206 24519\n11489 97082\n52886 88269\n80760 96024\n5162 64302\n37178 48403\n40753 59715\n93711 99045\n1788 36520\n20198 85329\n25335 95351\n27236 42045\n66853 93689\n3991 59595\n32763 50864\n1685 97345\n14472 93503\n78763 88063\n22675 71842\n25587 60163\n65475 68312\n66496 71001\n70278 75939\n75990 94470\n7482 83206\n80758 99272\n78305 93724\n53050 91715\n10272 84749\n43 34519\n19591 43974\n5460 9585\n75808 87308\n42712 63272\n10116 33574\n285 76009\n6534 23588\n546 23952\n24040 47167\n53661 97727\n39640 99032\n16322 49927\n64884 87857\n92072 99507\n10559 50940\n40459 78973\n56033 95097\n23378 68953\n39621 50204\n74747 96352\n12556 56898\n33279 90890\n57338 58307\n57850 82593\n23339 65692\n20352 46089\n60636 65206\n1621 60909\n358 22064\n21980 30784\n10959 23533\n36565 97436\n1486 2093\n22283 40525\n5734 59902\n15244 38269\n11620 17227\n4319 64018\n18523 41848\n34552 80072\n29157 60356\n15120 74529\n26241 77624\n23730 49334\n28592 33989\n74547 94940\n17639 20072\n14488 85005\n55123 65141\n45590 56832\n3298 86845\n8253 14959\n16367 83812\n8025 13458\n31074 47621\n8493 24473\n20046 59410\n41908 99122\n55983 90155\n29623 82988\n44057 76728\n46024 66644\n7171 36558\n762 57826\n5717 79483\n15897 63837\n12573 83759\n3725 64575\n20956 78258\n38055 47601\n26437 38749\n32161 72539\n59729 74697\n95627 95672\n4744 59934\n70304 96765\n35064 92141\n70581 82946\n31645 39922\n1241 8647\n61757 78929\n53749 76762\n69046 79606\n54073 79038\n10441 23362\n7514 56188\n41949 87356\n29856 55225\n9892 83412\n47194 61187\n54662 86599\n46739 83513\n19220 68485\n150 64621\n61512 72760\n52234 89397\n52031 69730\n55549 78933\n16432 93488\n9219 82200\n18503 86976\n16921 56643\n78525 79619\n29573 56246\n348 25536\n10887 39373\n24489 30025\n967 45840\n77122 99462\n59291 76007\n1511 68839\n2881 54330\n19685 95366\n17628 89818\n28896 60231\n25240 28282\n13659 86421\n4922 83346\n30015 36081\n71411 82112\n972 51578\n26931 95025\n20439 27732\n31913 58311\n89175 94756\n47722 59021\n68567 96375\n35983 65110\n9048 61635\n2059 36597\n56152 60389\n52448 98767\n14277 31787\n70820 87242\n20134 90631\n21841 79767\n53427 87107\n43128 88455\n18993 72853\n27874 99871\n1739 28049\n22502 70980\n66626 92621\n23204 38483\n76490 89548\n21288 52427\n56357 75922\n47338 74105\n11375 60146\n44998 63595\n22357 61896\n32941 91954\n5741 52023\n49627 73845\n312 70564\n17970 29788\n69166 92257\n41137 83503\n10340 72168\n45385 72928\n19264 53172\n28201 69197\n5864 9696\n78644 95861\n6889 51835\n32713 78564\n47166 93097\n30331 43061\n5516 59746\n3829 47208\n18564 38827\n44097 82947\n8888 76250\n12975 71922\n50874 84790\n7414 44572\n22461 59786\n10387 88746\n47722 94983\n191 22503\n70289 87186\n38034 78254\n53748 68536\n11703 99757\n38207 38643\n40501 60771\n31493 79034\n76563 86827\n54925 81870\n8225 45418\n20617 66834\n51736 75538\n42677 68490\n70088 82144\n37145 42959\n91314 94926\n58836 60290\n54765 79892\n15001 19555\n12524 20078\n32798 70751\n16011 68501\n51940 84736\n70560 85203\n2707 19584\n36304 37332\n11631 89200\n1425 38964\n6434 53030\n68298 76233\n7936 65298\n83004 89927\n33924 65738\n29712 42202\n88546 94071\n32597 63360\n15688 66324\n60140 90792\n54729 68628\n32404 92352\n89702 97997\n21499 87893\n35366 52123\n26174 80248\n59949 79952\n3732 59120\n26936 34804\n12765 79972\n8726 19518\n57233 64127\n4846 36155\n2101 39841\n77466 97919\n49069 86924\n1896 93714\n85130 91349\n92584 98063\n52544 90458\n34947 62063\n23015 60147\n13745 81208\n13469 41212\n40146 89276\n18582 37137\n52842 59102\n77814 78550\n18935 89973\n56316 77592\n34170 34930\n17776 59473\n45278 97924\n55574 98239\n14156 51742\n45745 80255\n11028 93514\n26124 46555\n55641 77789\n37651 60526\n14195 37875\n2316 29056\n19551 34701\n8824 83030\n76036 88403\n34791 57773\n79283 88318\n44608 72270\n35493 55232\n2512 42762\n20228 77049\n10452 86101\n40107 97130\n17210 29124\n48494 71135\n18119 62343\n1775 43140\n53113 96923\n6979 36815\n67343 71217\n45941 80571\n31472 99079\n4093 11462\n15908 59175\n43249 91599\n14217 66639\n34723 72667\n11748 79282\n26270 77776\n55725 95030\n55561 93710\n46636 70487\n15131 27645\n38945 89766\n33258 56680\n44384 94183\n28605 30560\n60730 70406\n4698 28760\n79572 96784\n10938 36123\n69355 91718\n54211 84100\n41295 72272\n39249 65556\n56796 85318\n18670 93011\n5585 59101\n11283 44360\n7202 7945\n85558 97695\n23064 25154\n57726 84436\n38011 84847\n32543 70843\n11040 47963\n23680 33619\n41517 45408\n74806 89590\n65422 93172\n30741 50838\n2388 38343\n7243 97350\n79411 97693\n58767 86984\n21089 25233\n25926 38619\n9508 27933\n58310 81004\n36175 49363\n3525 39115\n28591 96173\n20356 76927\n28460 42938\n43509 99928\n51488 81379\n5304 61192\n74196 81734\n87433 94090\n37057 85545\n62437 70012\n47019 74830\n25834 31322\n58907 74502\n23548 33595\n31192 67948\n1761 41252\n20266 94886\n35833 41678\n21886 55423\n35746 99779\n5678 34208\n21567 66539\n18729 21470\n10612 37704\n25435 93109\n14111 83379\n1040 56112\n58902 85317\n9359 58065\n83535 95017\n57886 71196\n75364 89237\n26437 56974\n60002 67126\n31989 62728\n26136 81971\n65586 69412\n10441 94403\n17728 24912\n50718 90603\n1724 45371\n36399 58396\n51586 64235\n6252 51892\n18746 65996\n21577 86391\n6126 63675\n10498 23484\n18104 47719\n44300 78529\n26670 64686\n54202 54239\n59956 77244\n15583 51996\n1890 85559\n6433 22604\n18172 93357\n3604 16651\n36624 69930\n326 10689\n27387 56933\n21424 24263\n38893 56680\n64998 92940\n63214 67576\n50387 51244\n24718 66122\n10479 42574\n53642 95970\n64600 67957\n75722 86994\n43212 57267\n30581 39533\n8091 11978\n56923 69312\n64118 66779\n85940 99344\n10637 90460\n54412 57521\n17936 88884\n80277 98676\n28554 48499\n33458 82170\n21825 25056\n10196 47847\n19853 25356\n34513 77136\n74512 97362\n41431 52753\n22455 81231\n6189 24063\n76661 82748\n3395 71058\n14065 16162\n6848 75815\n34545 69092\n94294 97201\n930 34071\n22831 96869\n57679 82127\n64349 66904\n7908 63561\n72144 90091\n3763 97881\n23403 53634\n38831 57525\n6250 7160\n14876 24252\n67719 81840\n92504 99531\n87130 91568\n10225 71304\n83644 84122\n51897 93593\n58815 87180\n80457 80616\n34982 97918\n26615 57496\n8906 98682\n15678 16167\n14323 25372\n45282 60196\n3766 25292\n14402 45209\n9677 13016\n9096 92327\n26870 52482\n913 30260\n25740 46503\n12743 93069\n42784 69129\n8869 97230\n88080 93981\n36775 66664\n8923 97676\n7212 54745\n2013 73681\n826 35492\n54905 59281\n21663 33454\n3272 25572\n6861 26428\n12734 95088\n27886 86095\n46137 50771\n58174 96613\n14186 59547\n26026 98172\n3114 48495\n74884 88218\n16494 94287\n6548 57471\n9474 13559\n7072 34257\n4452 29989\n15874 62440\n30836 48255\n57994 65870\n2493 32568\n55692 98994\n72268 95811\n16262 75930\n31 3534\n29128 57093\n35876 79740\n21265 51101\n26274 74661\n23473 76875\n57464 76837\n65660 97766\n48792 52922\n2652 53827\n17843 97955\n67562 67938\n12424 49344\n6272 24166\n11964 90274\n85022 92810\n71066 86516\n43591 82669\n19600 86092\n88183 91750\n15969 73301\n6776 54398\n15118 74386\n77971 94039\n43749 99180\n66520 69083\n42251 48718\n26901 73990\n4769 27974\n67798 80158\n40996 79851\n20627 97823\n11200 20881\n1657 42421\n25986 48309\n34167 54323\n4068 71131\n13062 84937\n70434 90422\n18063 63343\n4541 52487\n7592 37774\n4013 9568\n11762 12537\n72290 98933\n58925 98434\n1310 35166\n90381 91017\n61675 83495\n35319 70351\n33500 86806\n834 34924\n11004 14915\n49109 70339\n26577 53339\n17398 93652\n3544 88474\n56568 85276\n571 91652\n27365 33654\n57940 94070\n11604 20000\n9843 88068\n64381 85861\n39648 87405\n55033 70456\n32022 70192\n69595 84118\n18315 42690\n56226 57751\n42061 85663\n25351 52634\n60135 61908\n4181 6389\n67921 71203\n41577 93442\n50253 66322\n29120 37519\n10883 23174\n35729 70819\n6 45753\n32708 84553\n4079 76723\n25585 32172\n12741 51714\n4028 35056\n40023 69948\n41148 91430\n33307 99016\n50438 54715\n30749 73779\n24235 79558\n103 34358\n91520 94375\n67898 75331\n1364 31003\n22288 60653\n77145 94465\n7257 38301\n44886 56465\n35874 51062\n92902 96500\n6735 32773\n22917 78080\n56560 83678\n19213 20086\n1835 80542\n14186 16351\n55845 79873\n20398 82826\n23352 94569\n45582 77505\n57934 97798\n34106 68856\n58368 72258\n2080 85056\n63943 67546\n66200 82798\n22351 74393\n24538 87987\n30005 71258\n10135 10599\n3244 44660\n33751 45417\n27406 48185\n70029 78239\n37137 94986\n79734 95249\n15570 96151\n91309 99491\n57758 87340\n10472 50370\n10309 48593\n17715 37275\n28883 48074\n14186 35655\n44233 59333\n46796 95416\n31704 74922\n14873 81966\n34891 56041\n38301 98786\n25686 79846\n39012 99571\n33298 82284\n1034 38254\n20072 30728\n68245 78274\n38710 41819\n19348 27282\n17867 75136\n46662 50794\n86131 99393\n473 91604\n9737 23397\n9595 48194\n81917 85950\n41846 92188\n10169 74219\n30084 73135\n3909 26810\n4606 12347\n38949 89423\n72451 88741\n2030 27229\n29968 90115\n1093 65866\n27606 93073\n15969 20471\n22113 39049\n7541 89106\n48436 74193\n57267 80506\n30490 85957\n69219 98301\n28849 57293\n72557 91418\n56355 96603\n55538 74006\n2075 29183\n4922 5445\n10875 86400\n6649 13631\n42849 59933\n82422 95241\n41714 75159\n49497 91554\n9935 66156\n32685 57201\n40551 74325\n52517 74172\n91953 95232\n76974 90975\n30336 68559\n8061 90924\n74 94004\n42958 69939\n46349 73922\n28470 67585\n9309 72142\n54222 93797\n71807 73292\n12520 29248\n14392 58753\n19035 94496\n48317 54656\n89896 93864\n79144 87060\n2851 23118\n47351 63278\n18888 32773\n14228 42877\n42535 45452\n31182 96898\n5367 86500\n16552 39446\n19158 92280\n38071 79647\n81273 85080\n43265 48248\n73098 93698\n4850 28919\n23141 77343\n40091 97949\n76543 81849\n59948 76743\n50925 75557\n24140 82285\n52979 79939\n2705 54829\n29189 75999\n34648 58083\n17932 73159\n55643 67845\n20894 87101\n11085 69656\n38390 55500\n13204 28689\n3620 72408\n66317 70430\n39044 93380\n12176 13162\n15299 75308\n89043 95199\n25620 63619\n58574 79335\n13018 78477\n9872 22432\n28216 56830\n79849 81517\n20769 59452\n15939 77394\n39045 67901\n18101 20831\n4625 42830\n10519 80692\n36742 38144\n16222 98189\n22178 36320\n21265 58058\n58944 85510\n63719 69307\n1200 17275\n24481 28702\n22992 98073\n29802 56255\n25128 79399\n29323 58169\n86108 92527\n43597 55685\n12795 83460\n51282 58748\n78308 95368\n47972 56185\n28811 43696\n31296 95607\n53526 64447\n16901 68838\n45195 60377\n64374 91839\n24909 28452\n28073 70787\n22615 98507\n36026 65439\n33601 36638\n14446 51647\n3550 33135\n4450 5355\n2734 62133\n56571 89563\n55596 80244\n37384 64174\n68588 78471\n36399 78795\n40808 92929\n34385 44837\n11311 30418\n35290 91681\n45947 54893\n25529 70107\n26259 92549\n321 73353\n31454 74937\n39873 42048\n17626 35681\n22801 97981\n18700 24903\n16222 84890\n80214 83055\n17895 93388\n54399 83786\n1521 13497\n32394 43284\n10811 32630\n821 83732\n66887 98537\n8137 59392\n83860 98334\n64892 68574\n45037 51780\n33232 34148\n71668 79235\n3435 82336\n42653 49675\n44111 48489\n56590 82994\n90547 94851\n60844 61919\n14007 34860\n28001 95413\n32558 60095\n7079 68565\n7697 11009\n8774 44485\n18954 83676\n15058 72791\n23141 69486\n18081 44121\n53515 58765\n22720 66949\n32634 34718\n30903 49970\n36749 57157\n33490 35359\n28877 81212\n93653 98079\n80652 88987\n66581 94528\n77391 91323\n32601 95853\n11078 44903\n24985 45245\n47129 60311\n27865 47428\n55926 91956\n14812 27887\n16941 86729\n19586 25095\n54258 78724\n12090 91952\n29979 57763\n38655 74201\n7389 62576\n37861 74573\n14004 45219\n46983 56354\n18991 56417\n9061 62798\n11674 56738\n813 6067\n24453 87834\n2064 95839\n15777 76844\n14032 33289\n43223 79232\n58361 71640\n17833 54968\n63735 90454\n34041 69724\n4580 89759\n8145 43325\n10501 21820\n37205 47536\n32283 62467\n5627 25185\n77557 79870\n1661 64684\n3090 43770\n33510 82983\n70599 73063\n39649 82119\n45904 88100\n45629 49968\n12298 31797\n38135 88783\n59254 89780\n6746 71550\n69817 96932\n53740 55461\n50821 95601\n40264 75652\n5900 40360\n33203 74763\n11080 76629\n42193 52580\n43068 67957\n39221 76132\n46790 84050\n19474 95965\n25290 40198\n3900 61844\n75513 93584\n3961 61394\n38599 87479\n60679 65716\n16994 44298\n62549 91620\n2217 87367\n25744 69188\n7319 9454\n22865 60524\n55711 98059\n54314 98329\n29131 85514\n21200 45491\n194 36629\n81896 98549\n38546 52855\n22490 66323\n17295 48464\n7902 20556\n23042 60378\n28478 40678\n22559 34113\n18167 80951\n38724 49671\n8648 62754\n7424 60164\n48323 68906\n42972 82494\n14415 37956\n10423 69376\n29499 41960\n10651 49740\n75333 99605\n77835 78276\n11884 48081\n8398 76948\n41326 49240\n27997 76800\n44680 78313\n28740 81381\n36414 64621\n13843 50836\n66547 68897\n14455 18630\n34314 41575\n40485 99641\n24106 29886\n2585 35230\n38420 39367\n8635 30462\n28861 81669\n13978 41295\n17544 63775\n22659 97665\n59386 72383\n27076 98437\n487 5867\n26476 81372\n58193 83572\n57447 71013\n31066 37807\n19830 21194\n3732 28961\n72552 99223\n40042 80904\n48904 83765\n25489 45341\n53530 84395\n28715 82758\n16594 82770\n849 46700\n62949 96924\n6135 69585\n7621 24635\n32319 68484\n26808 51140\n56974 94092\n22947 44419\n40755 66925\n41000 42097\n3823 51381\n28440 43336\n53917 98940\n42792 57021\n24893 34217\n60080 66038\n28400 39098\n79470 85125\n1671 34628\n43811 74394\n23289 88867\n72651 79438\n70222 73084\n26732 73521\n46642 82409\n56656 97265\n60270 60493\n58992 70801\n33942 96350\n26072 89731\n15968 48632\n12044 92850\n33121 90566\n69946 98068\n74442 97427\n56157 62622\n77972 94618\n62323 63819\n27181 35634\n22223 35607\n5905 60357\n5198 67722\n34803 78422\n18882 40679\n17358 70215\n61519 81994\n42722 44332\n84155 93751\n43374 81769\n63605 65447\n30280 34185\n71881 98375\n59951 75478\n62490 94726\n46445 73840\n18845 80627\n58970 90128\n40506 97404\n47886 86000\n31548 32384\n26564 99574\n63484 97645\n11288 16000\n32165 62155\n37788 90301\n50957 93054\n24183 70900\n27619 33378\n14389 19279\n8876 28784\n2456 93917\n16574 75412\n33725 84861\n28402 63687\n8010 20611\n59750 62054\n4743 31847\n13596 79958\n41962 61604\n26186 88500\n7789 42562\n25981 41011\n28804 50075\n41406 83543\n1260 7603\n22600 40479\n26888 96916\n2806 37471\n24920 85210\n30254 51063\n40878 71254\n63132 96383\n19719 79560\n24165 30731\n8928 49040\n5419 55921\n11654 63791\n15290 49447\n45040 54411\n23945 60392\n4970 82662\n2080 29825\n60540 89789\n72739 80540\n50844 75180\n12780 22251\n48117 93872\n18125 96396\n4465 91364\n21583 26809\n43361 63082\n25000 66618\n14288 55713\n30589 80749\n25784 61778\n95583 99366\n34765 41646\n20666 31109\n30275 77341\n12724 52439\n30559 91368\n53815 54497\n6518 48144\n62531 99129\n15202 29363\n39171 41243\n83626 86583\n1359 48680\n55783 84618\n55571 66272\n67784 74243\n68270 71552\n17191 57613\n31491 73801\n47554 99395\n75488 94462\n15220 88586\n39722 81486\n71859 89400\n26768 38597\n27175 35278\n36124 76056\n25885 82859\n39226 76966\n70559 92700\n50845 92169\n546 15073\n81468 87926\n4568 85557\n49929 79948\n998 18400\n34741 43754\n49121 70673\n3001 32051\n22233 41356\n19355 39754\n76939 76982\n38373 50415\n8248 47171\n63776 84730\n27222 56978\n15197 99142\n61321 80783\n32084 53871\n19026 60939\n6191 55177\n21030 50239\n79388 86035\n33157 97013\n56857 84800\n32409 71141\n66001 83110\n14141 38637\n18623 50401\n23013 88114\n20709 62626\n79754 80977\n49263 73090\n68933 90671\n34943 60260\n19732 47815\n89651 99985\n15616 82741\n76020 84758\n54558 81233\n37925 98205\n69806 87068\n24171 39745\n28670 95329\n57120 72561\n579 58923\n6023 27284\n36077 69370\n1865 19260\n29369 44083\n5438 58532\n83217 94115\n25110 85550\n80908 98438\n15142 24031\n35250 50857\n32151 43151\n21220 38548\n53520 81944\n47333 60363\n52478 80379\n22320 64211\n8743 80499\n13034 49549\n6298 47055\n14727 85035\n92774 97513\n6627 94765\n16541 51087\n6154 30476\n16421 98594\n38933 51311\n8804 99562\n35555 71231\n39520 65898\n25708 95551\n12119 31497\n23945 73168\n52646 59166\n3937 48248\n24394 73225\n66266 76339\n62640 76272\n50200 75648\n67401 78173\n42745 79473\n79408 82518\n27669 48655\n50263 66512\n34616 92301\n10296 67757\n54941 60752\n39251 96740\n16839 48459\n24701 90382\n59713 84150\n61199 85254\n23219 87982\n9399 93466\n3400 52576\n17896 47529\n22609 33968\n16508 78033\n23968 78839\n51427 85186\n12560 97087\n1544 79716\n65117 74431\n17482 84529\n17121 93126\n19904 30808\n55510 55918\n63279 82465\n56402 81962\n30713 83379\n39464 59107\n1133 90532\n16131 66622\n11890 24321\n33722 54771\n6090 95003\n32426 53946\n19766 90414\n15653 46758\n5910 62069\n69185 82243\n56728 93041\n73699 79978\n13143 17093\n46635 64305\n47267 50749\n58625 78159\n23420 47775\n73562 77107\n19118 85714\n69156 91064\n3216 36084\n72216 92121\n27561 48191\n84028 87058\n21547 74995\n13869 93129\n2774 6579\n29159 59470\n59121 65660\n23694 97055\n2650 60348\n72363 84757\n26780 36493\n18321 33638\n43973 77809\n37999 81790\n12182 42261\n41889 55775\n75907 99140\n43446 53660\n29667 54847\n82359 96768\n15642 27178\n28053 84630\n31774 53617\n16507 27616\n32292 43105\n52228 80949\n16088 19455\n41222 89571\n38803 48943\n55008 69929\n71918 80291\n50842 58134\n53642 97776\n75345 92609\n57068 96902\n22223 64624\n40061 52899\n23073 47355\n68176 89794\n17948 22130\n13058 94477\n18263 23817\n18553 55684\n37600 44870\n1187 87628\n7134 95102\n69493 94257\n30639 65184\n2481 58889\n52531 88169\n26130 38598\n44777 46144\n85831 88415\n7076 68584\n53073 62807\n31937 61263\n75727 77535\n35768 79105\n11399 68736\n37879 83482\n14128 99874\n19023 64016\n33709 50732\n31558 46724\n93163 93898\n29563 98569\n19096 69289\n12694 72178\n47646 60051\n13052 69420\n6807 75518\n41704 94885\n46891 75848\n7161 93583\n36238 42157\n12731 16287\n3688 80974\n84073 89964\n48303 59565\n15285 86236\n16391 70450\n89252 97707\n3616 69150\n5029 27430\n962 30597\n64796 98861\n5126 12904\n2227 94711\n31302 89822\n74172 90561\n44921 84757\n29226 31278\n52459 82650\n5533 94654\n95113 95175\n19845 58029\n5904 70380\n5309 79512\n11572 35468\n28942 78275\n25170 61878\n72517 79283\n5338 71679\n52718 93738\n32103 51759\n61261 95455\n3471 71576\n3754 97471\n22282 96338\n31546 95664\n34947 53300\n15061 19945\n15321 96642\n36213 38353\n4012 88856\n35214 91952\n29213 37293\n52997 58940\n26434 54062\n41136 99057\n13891 44415\n52528 80984\n53131 53147\n42364 54007\n9043 55525\n8852 77677\n13095 47152\n23996 83842\n18992 75409\n24549 81815\n30477 34568\n29914 61752\n20489 30072\n28775 31220\n35169 65595\n47639 49324\n61622 77663\n15246 87953\n10422 80964\n76861 85280\n30424 40601\n34217 88668\n47420 72988\n3281 93015\n21905 58923\n13703 79592\n48232 73689\n6814 93688\n52626 79788\n47262 97106\n3505 22007\n8182 58824\n46382 57590\n48695 56882\n7606 72944\n57079 84373\n9296 85439\n10063 26796\n58875 88795\n32144 75776\n39302 71561\n80533 80953\n62865 89486\n64336 80356\n12925 28172\n31084 46747\n65967 78633\n58335 68045\n31425 69125\n65406 71408\n3748 63405\n45289 63748\n36860 63192\n18240 37320\n40353 77076\n3818 79417\n14663 32734\n5295 43907\n12466 49204\n31610 56093\n12695 72207\n26247 90865\n11332 39529\n10235 88719\n51786 91334\n59294 93943\n43416 68276\n23669 44286\n50514 79954\n38530 40605\n2066 78279\n28040 57000\n4173 80762\n74709 94461\n14881 51267\n6813 23817\n35876 90592\n92476 93740\n27520 91191\n27645 89775\n3331 9409\n16112 31385\n50811 69767\n35272 78943\n7853 41852\n4110 27392\n28491 82031\n78128 80840\n52019 88527\n32306 55097\n19187 20225\n70257 82860\n18546 90480\n13235 62691\n65584 83533\n15153 20643\n7081 51223\n30686 63081\n30421 31603\n18643 27424\n27982 82291\n77019 86424\n18439 91522\n38945 75502\n67682 82993\n34861 98160\n49997 67896\n22550 42001\n6753 18043\n27175 76059\n69648 84011\n31758 99472\n26730 59868\n14287 92525\n3973 21629\n58533 77998\n56154 64110\n57559 62725\n21799 47454\n18254 94595\n65599 74173\n40730 83198\n84251 96320\n11448 98260\n13263 51035\n62338 64827\n59414 72645\n27645 71584\n59038 88277\n42085 51462\n13141 73667\n25941 34008\n37436 41898\n37209 37977\n54368 82704\n65740 77979\n2078 70852\n26884 61712\n13319 64008\n8417 65522\n41703 89344\n3794 31965\n778 12583\n51204 76977\n17789 50990\n11513 65603\n71205 71515\n2896 84654\n46289 59460\n41001 91197\n18421 21212\n46713 96174\n19742 88108\n37214 78997\n43306 57799\n28975 43812\n40018 40047\n20811 32400\n70763 82157\n6970 94888\n51588 70755\n52223 67988\n56508 93682\n77579 78070\n61362 98043\n22871 39389\n4441 54680\n1865 63174\n35719 85849\n13730 77078\n39625 85504\n14035 51094\n40751 95094\n47680 83171\n46258 93802\n43440 87524\n22715 81192\n32767 92520\n28779 77092\n37884 55011\n85433 93142\n73197 87112\n22197 92378\n29509 40217\n8493 29045\n55623 68041\n42872 78384\n4943 9310\n15144 98782\n13458 96091\n66525 76490\n37003 78911\n65111 96823\n73147 95479\n3856 26382\n5758 77374\n83637 94023\n24986 63054\n65536 76334\n36317 39522\n82097 93567\n8869 78609\n9556 35105\n23338 41222\n25516 50077\n55848 62550\n9230 87891\n21086 61201\n71838 98526\n9158 28359\n31556 45345\n26509 76532\n120 25885\n60260 85398\n17847 84222\n8791 50227\n47262 87972\n9449 61691\n23258 74129\n52316 93217\n29905 60565\n40650 94431\n14807 75447\n27668 85605\n10513 84467\n5269 66910\n14950 62293\n34201 61415\n1643 21027\n47480 52660\n45709 73127\n81927 87860\n41349 69625\n37913 97309\n2330 72347\n5100 10940\n31157 56532\n66760 88880\n34414 53094\n41878 88513\n3813 12380\n50712 86752\n12387 49804\n275 15447\n1508 89626\n20374 52057\n38460 75702\n47862 77249\n13883 71435\n65769 87711\n50887 98501\n13226 46494\n11354 96742\n13574 49259\n28503 30010\n20527 25101\n6917 68614\n9617 80469\n17376 39558\n41312 75915\n29474 91087\n25581 30536\n12561 99755\n16333 48466\n64561 65745\n30711 72769\n25482 57509\n10916 48249\n20065 20375\n6741 48885\n15430 93135\n72418 78896\n24542 98233\n75252 88467\n37380 95677\n70373 90989\n4060 47327\n50259 78213\n65735 68379\n84218 92739\n55898 63184\n67675 82160\n38790 97721\n8713 12835\n37401 71165\n84102 97156\n21852 45459\n27327 86933\n57469 80058\n81681 91231\n82706 84427\n784 1861\n40769 41896\n32146 76459\n8896 63529\n7253 39124\n84017 85952\n4986 93245\n15683 34970\n64621 94049\n48438 66535\n29361 87518\n62221 68309\n11703 67470\n2385 6725\n36335 68253\n24560 30927\n58926 64000\n63666 84935\n77185 79421\n23292 72329\n36528 89690\n40991 56325\n13834 13961\n3720 11032\n78569 78745\n62639 82390\n23966 82145\n50796 75824\n96053 99741\n62202 88403\n46937 51210\n9990 76425\n18022 89350\n35182 77812\n27663 80791\n59506 78350\n21206 45219\n58596 87406\n36112 76974\n83782 95467\n6482 28762\n35427 46378\n10008 13966\n31606 64716\n5900 65386\n45852 99927\n16408 48280\n22740 54465\n23594 35544\n55874 95214\n13942 86168\n18265 35846\n47918 59609\n19669 87308\n80831 89461\n15841 83317\n980 10283\n75521 86918\n64696 89175\n5536 89284\n13526 55467\n41372 50956\n18227 93012\n16101 78841\n4967 56031\n52829 61499\n63981 97836\n49795 81137\n79955 89764\n63585 88324\n35261 67179\n8440 93730\n34048 55131\n62178 68903\n85268 86219\n4149 89080\n17980 54000\n2308 2867\n50791 99710\n43172 82013\n8609 58769\n40353 92239\n32870 48176\n10773 84718\n42202 95120\n51791 64923\n28796 43525\n7434 53091\n5048 95225\n1541 27196\n67255 89888\n68980 99217\n17868 92723\n28741 52518\n61147 71119\n25718 43789\n66393 75152\n61866 78417\n497 63376\n9058 54539\n3018 16773\n12631 62505\n40430 69308\n37576 46275\n9599 88018\n63015 65474\n29501 59012\n13887 21397\n26169 88569\n3704 64922\n64220 83972\n64930 96118\n53984 70563\n36064 62797\n23919 40008\n25874 84866\n23479 66962\n89756 98802\n24575 75142\n26679 46180\n1878 30564\n72610 91694\n60013 95004\n50501 69106\n16617 59894\n54926 82951\n28920 63321\n23841 85672\n4172 7929\n36858 38373\n12228 28729\n64390 67019\n29204 68529\n12578 70629\n23715 34440\n69177 87835\n26025 75336\n87808 89335\n72087 90409\n47085 81658\n86980 92556\n55892 84965\n52121 85853\n8182 44382\n64263 76272\n82265 94695\n23206 56527\n78780 91781\n50649 85472\n33378 45838\n56267 79139\n3597 64931\n9003 64786\n22707 24137\n16148 89652\n80352 98478\n64722 66111\n78816 97258\n10910 66771\n13481 77241\n16492 92739\n57651 61078\n74029 94469\n46701 74666\n58361 94434\n987 39606\n9554 66552\n34192 59846\n31308 60737\n45554 72243\n20225 67598\n78684 99375\n17965 67263\n51262 92346\n54999 95702\n70001 83940\n2386 44156\n74260 86494\n38332 44107\n37188 84728\n12266 56488\n14774 21682\n1262 52566\n5523 18970\n81198 83392\n48895 74611\n800 1976\n56829 85672\n11036 33241\n62958 65381\n60780 93286\n4400 13710\n9668 13996\n25426 36409\n2527 63040\n407 63710\n34333 61889\n65111 86690\n61379 66471\n41911 93501\n5098 35528\n26335 86405\n87670 96770\n29392 37726\n30548 74917\n66498 71209\n17544 54737\n26879 99871\n52839 71956\n40677 92962\n35402 80059\n17125 19236\n35665 99654\n52626 95964\n33850 70555\n36993 79856\n63857 94072\n61150 75250\n93336 98822\n25841 42418\n29776 37863\n40956 64306\n36358 68091\n31715 53304\n13546 54793\n40995 44376\n3243 70861\n15348 60274\n6712 25482\n17096 92109\n24237 32124\n62422 93245\n60353 69210\n73811 85629\n9720 13002\n21071 68904\n34864 57461\n9779 66717\n12985 73925\n33686 94602\n81058 95162\n95747 98637\n45887 95155\n5118 43379\n45650 76647\n10982 69017\n15795 47404\n68214 95637\n23060 70681\n6908 21765\n29376 62206\n21904 46552\n15936 49670\n32261 59450\n32206 58428\n90667 94692\n44239 94050\n85087 88199\n33429 59792\n29575 39618\n18525 43985\n28577 92534\n16173 31489\n61672 88788\n45201 83615\n28031 28771\n75537 89026\n46070 78619\n35430 61822\n5501 37807\n33767 57867\n26364 91609\n7805 8486\n357 66459\n14960 37368\n58843 93655\n42058 68253\n25833 89603\n19018 54206\n7486 43905\n59895 95633\n1940 77031\n2895 22952\n90420 90528\n19805 66037\n23825 65678\n10444 59451\n82561 96600\n69402 70969\n7742 21778\n7986 71443\n14472 53275\n24210 48979\n41971 66204\n52427 70235\n83732 87327\n35501 42137\n69790 71988\n14151 55401\n16338 29293\n81056 96594\n11959 28151\n7428 90970\n2116 14377\n29562 76905\n35789 49638\n55871 85601\n67811 97704\n14980 23875\n81754 88518\n15281 90545\n50069 75475\n15701 81563\n89905 96365\n12170 92232\n32255 41310\n50059 50399\n6915 84990\n22592 96394\n57140 59925\n69775 90211\n70126 70244\n19922 62249\n56649 69638\n12499 72197\n25563 47827\n4727 25516\n40031 94553\n10049 38922\n35609 91079\n37624 82810\n40111 73648\n34652 84113\n17553 62966\n35201 53434\n46515 73161\n2600 37662\n47368 71131\n17376 80817\n27594 84753\n52160 81322\n61030 69631\n30327 32320\n27396 82896\n59904 60045\n12191 83083\n36554 60532\n5076 29428\n23538 75422\n2799 19911\n14728 23907\n45907 98823\n77652 84352\n7825 49102\n77175 85263\n46063 57211\n17236 76409\n23833 99672\n44219 76515\n85672 99537\n7052 7238\n22915 66204\n43397 85435\n1337 84514\n95670 97663\n33760 57654\n44851 76430\n8280 69624\n33655 66540\n2081 43071\n54543 63907\n25329 53749\n61670 78228\n76145 76719\n39589 58647\n44660 58511\n28404 59187\n40608 74298\n42512 46343\n14203 57048\n2207 67366\n57547 86244\n28780 66036\n15713 19600\n40126 59601\n38446 48556\n35331 74001\n84163 97394\n31271 92793\n30305 38384\n32854 52210\n20515 54062\n33031 43113\n9512 69200\n39856 53816\n48256 54469\n9829 43343\n1192 56377\n10017 33489\n9068 46833\n8196 44571\n38582 40151\n12966 33092\n23254 83147\n78311 84100\n27347 45574\n18412 96310\n10994 84420\n24863 27010\n82606 91114\n28246 88665\n31920 77403\n15742 73760\n33950 75957\n49568 80135\n29609 54047\n60193 95034\n65905 70793\n35540 94771\n4400 63863\n50245 78589\n56393 88657\n57996 75582\n45744 48158\n15029 49618\n7605 8990\n4225 47881\n45338 69001\n46258 62091\n61372 95183\n11401 20774\n25852 42352\n21770 88073\n49974 91851\n16429 57280\n44478 94951\n39927 90941\n43981 94402\n23896 80997\n8325 46887\n15260 91480\n22205 70768\n18779 63286\n25343 97314\n31251 86732\n52488 67680\n2964 49035\n7104 49073\n8425 95818\n329 16634\n53804 94297\n19653 21664\n60117 90534\n36919 51362\n46656 55619\n10180 87910\n56641 65418\n39991 46170\n23231 63735\n12852 54518\n59005 93225\n69366 90490\n16227 89922\n65219 79724\n33581 88175\n67850 73304\n63694 82751\n26863 40665\n11856 33498\n48287 85353\n69942 77736\n85338 87197\n78765 92648\n74253 77569\n51072 68994\n50893 59777\n17297 22112\n80575 98074\n2602 59170\n35925 89168\n74437 90640\n4348 34742\n7102 82549\n10 27116\n2369 45520\n41581 43572\n49185 63540\n63074 67743\n67650 69222\n2412 22985\n97862 98803\n27540 90093\n45415 88546\n10260 78239\n5837 77752\n35874 98729\n56844 61942\n30604 91725\n56729 75858\n66254 68911\n21755 97602\n12418 65550\n45 35493\n8781 45761\n76111 99226\n25126 92956\n16219 73128\n30580 68449\n36613 80308\n1413 2368\n38346 44795\n12996 93988\n5999 34618\n2771 17810\n29229 65745\n17721 51571\n58242 58262\n77151 86783\n22727 25763\n61500 93594\n13400 81734\n16275 92446\n49040 95708\n25615 82885\n27288 43047\n39688 46579\n36953 61855\n6275 68120\n30730 60569\n52048 77597\n26065 71191\n20205 33492\n65336 84640\n30756 31874\n1226 43235\n20734 88661\n16097 28464\n22741 46792\n18504 22803\n18444 69634\n58267 81082\n69506 77503\n32100 96031\n12048 72608\n43108 62372\n25985 85787\n38305 52960\n50014 84284\n27659 85681\n22654 82504\n45416 88088\n9616 98619\n79372 80297\n15972 63652\n15817 49907\n263 848\n43154 96634\n48220 99082\n21466 87872\n3897 52564\n68442 71067\n8065 71386\n23173 88962\n21693 36649\n30231 74388\n4157 29240\n34865 37411\n834 12138\n24285 47642\n55218 57433\n8032 96804\n5111 28666\n15408 54291\n27982 80415\n26572 69734\n1664 56260\n7062 89018\n8958 45777\n26433 99232\n47162 71219\n2970 83853\n49046 55221\n1877 14080\n65105 65316\n63168 88323\n7645 69993\n4465 73315\n33028 46007\n34201 58703\n4277 69843\n38616 79400\n58693 81449\n1016 93837\n33416 64932\n18234 48022\n52403 90825\n21634 95348\n80132 82736\n50534 67146\n3578 17171\n43813 62089\n11250 47438\n9056 88025\n28159 37548\n39514 92685\n44247 84437\n1638 32404\n36794 65873\n88394 91842\n20789 23425\n3283 19339\n13148 63484\n17913 48397\n10791 87576\n21024 26437\n29183 97414\n77917 85048\n15338 67834\n6151 53256\n28720 73480\n7128 42665\n14487 21496\n13726 74429\n18190 24548\n191 87636\n56673 65711\n70017 71393\n38267 99881\n40494 42599\n33885 96570\n69839 98641\n41777 92260\n57167 64330\n25408 36642\n23394 47038\n35271 85164\n55063 60242\n33485 83930\n42385 92640\n55548 87881\n79374 91963\n44932 45261\n24671 58115\n80927 96955\n43925 86970\n23968 47572\n10745 71274\n18625 61326\n45472 91255\n47058 89673\n28161 49983\n47633 54072\n17914 84729\n9551 80344\n8855 15300\n76904 80079\n42854 43073\n30056 92283\n50334 69740\n43893 75132\n96746 99530\n39836 92403\n14875 34988\n60708 64826\n32960 39077\n45996 67814\n69768 82692\n10057 52130\n6989 49267\n37270 89827\n5006 47408\n7388 27187\n80912 87121\n86440 96337\n33229 99993\n34448 61797\n6347 32459\n7483 11629\n36825 98808\n16801 91504\n20752 71825\n10941 39334\n848 26929\n7273 84216\n81526 85622\n20155 37499\n44129 71821\n21218 48822\n31005 33454\n1070 90160\n1270 20790\n66800 87778\n24647 48067\n32856 76618\n24246 38743\n24877 58683\n6909 55731\n43368 63577\n26844 69907\n2708 99423\n8034 31619\n41025 56220\n15450 73908\n18841 54934\n8580 21532\n45458 94832\n27150 88533\n55811 81440\n27107 47276\n24745 78214\n29225 39101\n34302 78867\n13970 53823\n8290 89575\n22744 81779\n58032 60572\n13010 20730\n30550 86054\n48197 97938\n46575 77562\n23172 57884\n1390 45781\n42663 71281\n31017 97378\n68506 76529\n20855 61449\n69014 78991\n16798 62151\n16235 46200\n32839 46953\n89846 94137\n17554 29515\n32953 75604\n7918 85865\n21684 92950\n26891 76509\n39654 89145\n3190 27494\n51641 71516\n5641 84145\n47949 61756\n17099 37284\n22953 76613\n38387 65695\n11656 45345\n26562 63393\n72324 99285\n89841 93429\n59519 64360\n24507 98389\n44844 59970\n62843 79793\n13954 95755\n40134 64181\n28097 92554\n37709 40370\n31984 70576\n19922 28082\n41933 44636\n13062 42075\n15127 64947\n79050 98423\n64450 71688\n9930 97392\n25106 78263\n43702 92327\n42629 90883\n27826 84542\n16103 54410\n25888 68359\n52002 97561\n20001 76960\n28729 61706\n58344 98180\n32264 65377\n2890 48814\n12837 21638\n54911 97754\n93945 95294\n16143 91886\n4094 92852\n25854 99161\n17115 79125\n48922 67562\n30044 70669\n26715 33694\n50 70204\n46217 50768\n34338 78927\n50255 85689\n42676 77402\n7541 49646\n8129 40869\n5001 94419\n32851 93296\n11747 29737\n34538 42346\n28233 83403\n47235 61775\n3063 72096\n80987 98225\n18220 19420\n21800 92817\n33360 54995\n60685 75295\n28448 37655\n17416 60594\n5429 60717\n2039 76751\n12275 49271\n26049 61966\n65407 97010\n49458 54055\n73671 75898\n56023 88440\n21005 92005\n59259 69647\n1208 3804\n11380 87527\n27482 51292\n22860 94494\n17514 74059\n33160 57457\n69301 79215\n15862 58759\n33673 98579\n8164 66966\n15295 60720\n23254 52963\n2852 78252\n44151 47440\n40419 53712\n29215 37556\n4621 18276\n19140 50331\n11956 19964\n4081 37186\n39908 43563\n12690 16764\n24055 30840\n18673 70762\n11091 43539\n15819 89644\n14361 43868\n65800 81185\n12356 55812\n15505 98925\n6498 96402\n19696 86243\n49621 90352\n4940 59129\n32026 45625\n800 65841\n1286 16948\n4140 59667\n68434 76693\n64637 94755\n2573 72983\n10182 82275\n43251 82817\n19670 46594\n50777 89477\n17088 27834\n15953 34451\n97783 98500\n29430 44927\n50736 64918\n2362 28124\n1725 34035\n53434 81790\n1354 17803\n49842 82444\n60633 91320\n7505 57825\n1469 97034\n25122 93876\n20806 72527\n83019 84254\n20786 54523\n1899 44004\n19975 90118\n61474 73558\n15742 86347\n89231 91794\n4242 58817\n14513 23107\n8675 38770\n44549 96929\n52312 58134\n52700 98845\n27657 72546\n45591 48248\n23711 96025\n32791 88006\n32795 84573\n525 62540\n34510 55351\n6738 46725\n59703 83160\n39681 55531\n26292 95855\n18460 50778\n14565 57819\n77046 78858\n19055 27180\n42886 83033\n6493 80192\n9154 44081\n17630 72642\n36715 37801\n19828 56639\n44618 82611\n14618 78040\n25459 88763\n69399 77464\n39064 86235\n5093 48415\n33859 72621\n9821 73565\n2056 61449\n2463 44819\n22285 24277\n78208 78880\n24074 60730\n21626 59101\n73922 79671\n31615 60569\n4733 79774\n40469 75616\n39591 87761\n24716 98379\n7669 16574\n80383 81962\n8019 16746\n12766 56421\n40668 83175\n33620 61404\n42206 93257\n55472 99855\n52327 85656\n67495 76559\n31711 42100\n49598 88252\n21767 90934\n46911 87128\n78573 97414\n14294 80601\n3805 73721\n3308 82594\n3200 86528\n46617 49621\n41868 84038\n5420 44855\n58400 91221\n37190 69530\n29815 36705\n21536 57283\n55691 60189\n19407 83592\n9359 12887\n40615 59977\n73093 96095\n14398 75054\n60311 98470\n35478 86555\n65124 98305\n12244 62071\n8162 18839\n71916 92274\n55145 72028\n19578 88332\n37792 72682\n13 97098\n8891 14010\n43834 65370\n12030 72040\n16160 78139\n8159 35149\n22260 43509\n8004 22806\n35259 54097\n30423 90275\n631 70848\n5744 98061\n3474 96514\n45515 86331\n20949 45440\n41017 41773\n41992 44535\n36035 56336\n55202 71579\n34054 60713\n44276 73758\n14343 63834\n39613 49012\n5787 31261\n36084 63139\n33169 37480\n28315 94937\n65897 79408\n43456 44959\n5186 73884\n21611 67022\n67645 69437\n8349 75461\n66279 98460\n87043 95543\n20182 33706\n64446 67850\n19740 26599\n1843 97589\n7873 72925\n72377 80989\n8736 71071\n15473 20246\n24611 93852\n2642 88595\n2562 76877\n29363 41568\n43004 88238\n37735 92366\n2293 98182\n9446 82698\n40773 93903\n41378 80450\n63926 92413\n64614 76628\n10888 29873\n19711 90506\n63399 66853\n75171 92214\n44530 66266\n45580 92819\n11590 60747\n32834 95397\n94032 98273\n38429 80601\n9 82074\n35760 72882\n27847 93783\n62683 67736\n69090 74172\n43194 74709\n79102 80546\n82514 98953\n54841 58837\n18097 53467\n55974 65850\n4805 18315\n35546 97393\n44259 66636\n42532 81088\n24980 92088\n1030 7965\n51479 66758\n937 24331\n59992 98110\n54114 84850\n1906 30689\n1024 58917\n14810 45774\n86054 87209\n3289 5301\n75764 90022\n15391 27252\n49157 98550\n21631 66982\n40943 44539\n22973 40200\n83621 91613\n67742 76605\n25480 97181\n34490 92299\n3366 85891\n826 91280\n25941 37020\n26885 76738\n17587 17779\n74938 98704\n16875 90480\n71845 89373\n4540 77116\n27947 78060\n27721 39375\n62311 67555\n71397 71461\n55585 56034\n28391 63825\n5741 28971\n19935 70943\n17366 51594\n33134 42235\n19961 22091\n54234 63299\n66706 83019\n19182 30758\n9770 73598\n49549 87495\n39238 68265\n46371 68382\n85279 98728\n10537 80826\n60054 61210\n37691 55054\n14286 97510\n12430 13302\n68094 90959\n7155 94009\n10545 85747\n24552 46418\n57401 80225\n21188 32033\n41463 60800\n1982 7573\n19993 90413\n29784 74842\n28114 85622\n19658 68248\n52184 68195\n13565 36149\n54182 95375\n25006 75810\n28192 72274\n7671 8448\n70757 85339\n26992 58624\n86604 97606\n4111 58154\n16796 52692\n7861 10869\n26383 88017\n1772 85347\n38230 72279\n68300 72750\n11621 49814\n22089 88457\n14090 94400\n436 71880\n17139 55509\n7552 20910\n69827 94603\n31077 65562\n40026 80595\n12267 73758\n3901 66230\n69440 99902\n4609 78869\n934 42654\n66667 86538\n3877 86082\n21494 36662\n71446 86433\n4322 8983\n46566 52036\n68644 97432\n97 28959\n16916 51202\n39205 66085\n68685 87487\n7133 38175\n35183 66686\n50659 69684\n27567 87126\n9179 55077\n27899 69470\n10972 97874\n31078 68641\n21867 93885\n55851 99342\n31052 88359\n32198 91060\n69048 93170\n7969 28062\n80389 94578\n12616 86934\n63613 87444\n2087 81882\n19037 70465\n68874 78074\n17215 81939\n30341 71004\n10230 35197\n9611 99440\n11885 93081\n13137 96838\n7847 93943\n83913 95811\n19641 47390\n43615 52784\n9494 18208\n31221 45140\n51145 91742\n23570 32397\n1064 36824\n24428 26357\n12445 80452\n45670 56767\n31188 61546\n2009 72658\n1225 74673\n65640 89895\n81123 85815\n39191 66078\n16264 32013\n60742 91832\n62873 74378\n13368 58702\n33744 96819\n20488 69891\n39070 42575\n46930 86320\n55052 88646\n3318 87138\n5099 98857\n17483 34334\n49748 83937\n19496 56133\n16445 77676\n55292 57775\n20979 41982\n7982 8693\n79841 91812\n65566 91604\n6604 38424\n6969 89032\n56049 82000\n2090 9563\n46053 51178\n44420 67349\n21290 44164\n47836 56019\n11571 21492\n59663 85928\n23241 58759\n22979 27690\n17931 78464\n71139 94147\n28636 52776\n33181 91827\n74064 98768\n49738 78901\n5862 80494\n11194 60568\n4086 43617\n66634 98895\n60713 91582\n49849 69663\n13422 31768\n9870 48881\n30777 34450\n17402 38155\n47224 70874\n55920 98564\n3515 95901\n90535 99504\n25109 27655\n23278 79412\n4614 73776\n11576 91823\n18751 42177\n39774 97963\n49887 81766\n54393 68271\n76874 81457\n1913 18379\n5214 84049\n49576 84080\n21942 29772\n56652 77506\n33927 56423\n69357 94774\n11545 85134\n3098 39337\n57989 73451\n38157 44672\n36143 44175\n2911 58455\n53703 70433\n62090 91541\n48232 99343\n12671 76278\n18434 49635\n14096 99938\n33713 44613\n21187 83646\n10061 12269\n43757 67920\n3510 19450\n13154 67092\n8898 11623\n6456 84449\n5766 93399\n34940 56934\n28936 78499\n10531 31482\n15522 74112\n65300 99928\n24254 44829\n14011 91636\n65707 83922\n7850 27850\n13648 38044\n31259 54697\n19455 55658\n84495 99273\n37742 77049\n22632 93069\n21479 52555\n25237 69471\n15999 37173\n11740 73337\n45173 61818\n12841 79029\n15558 57686\n8741 22415\n39649 77430\n2048 32588\n64499 74920\n23730 56554\n59662 77620\n211 46376\n44918 50779\n31634 52384\n27653 62908\n40952 93783\n1129 17233\n44580 63316\n26015 45117\n40975 53799\n69308 96798\n16524 86791\n14392 78746\n76405 80805\n25788 92086\n7370 96153\n27668 79188\n923 39523\n1753 92773\n11426 22606\n19357 98857\n34368 39753\n29302 32405\n73408 96678\n24845 84844\n10091 65542\n59870 64766\n25678 29286\n5282 20309\n62243 83561\n21544 57304\n24682 48227\n91506 92162\n34614 75538\n49255 54420\n500 87445\n6486 9297\n21553 86265\n21934 41637\n26526 46753\n62869 87873\n2182 72149\n26747 72501\n3853 27762\n11059 43606\n6973 84762\n1356 89897\n65572 90899\n17960 74570\n13391 13945\n16244 47844\n4015 90355\n55176 68381\n19886 74190\n1028 73691\n26750 73769\n55043 91948\n53029 57558\n25923 95882\n25772 92518\n70989 83540\n48834 49065\n63377 83199\n32946 42214\n21738 83172\n41309 55220\n20403 96726\n4121 37529\n27348 45307\n10377 81073\n30875 52830\n7269 92266\n65317 86215\n28606 68049\n23786 82497\n26282 76988\n23419 48604\n48047 57416\n52649 71505\n27488 62984\n17062 17730\n50356 96277\n37483 51115\n10036 33845\n21075 89649\n26829 68310\n20043 52982\n59403 63233\n36103 91680\n51591 78303\n13312 92663\n39818 68984\n63057 63388\n60558 83350\n68055 81024\n29931 45740\n28604 29806\n19598 90883\n20282 92405\n47482 64325\n3373 40404\n23992 67343\n29776 34674\n41426 53435\n68823 87936\n34993 92729\n40327 61198\n25708 92864\n3233 60658\n39957 52974\n66647 70135\n39079 65758\n30706 86573\n22814 51760\n8313 12653\n29059 87333\n14242 64886\n16058 55969\n40452 96612\n3098 29740\n61437 88403\n37383 48102\n50766 98771\n25146 31005\n27989 28419\n33033 45949\n20352 95628\n59765 68677\n30418 66731\n17108 26752\n56375 99265\n10663 94551\n30582 51664\n53 45175\n6888 72152\n5724 39404\n56433 58199\n12619 40264\n36644 87266\n60965 70441\n43757 60604\n30708 37027\n53787 91235\n28557 70031\n46641 67398\n56577 74458\n10641 70708\n24486 56121\n71662 71954\n15879 89894\n7376 93561\n11398 72715\n49684 85554\n2691 51280\n6187 99035\n47527 79730\n57090 61410\n29647 94178\n7699 43339\n29344 96346\n4897 21121\n53386 89267\n12010 50861\n8014 38969\n22823 24748\n66519 93128\n72533 89504\n17560 89187\n3903 96409\n12160 12793\n13084 54661\n40476 63367\n7863 8827\n41221 63572\n23131 32110\n41347 51855\n44459 51898\n7267 71572\n21670 28906\n46470 86376\n13779 95275\n10457 96591\n37391 75583\n11956 37919\n49832 76171\n12520 84053\n51096 67851\n14598 26924\n17761 40752\n33242 88734\n40787 92272\n14867 15336\n17375 95937\n48037 90622\n5961 46457\n23620 99967\n37658 38910\n55723 68751\n8391 68339\n86265 87268\n14376 61254\n11574 99450\n47256 47389\n17999 69007\n72337 89666\n29668 79891\n8163 74855\n10164 46496\n56330 96331\n28861 69134\n59014 93456\n39479 70097\n11550 37248\n54154 54744\n7929 34397\n36560 48119\n11919 89329\n12677 15883\n50298 98527\n73307 91306\n29275 33323\n8888 81180\n23559 96898\n48325 55636\n45243 77517\n31451 63001\n46695 84796\n18101 28741\n87468 96257\n4345 16419\n84985 95757\n76804 77283\n26427 60011\n15568 44671\n32163 59441\n3337 18729\n14259 57330\n3640 28216\n24440 27420\n26879 68543\n12418 49777\n49519 88434\n22094 48160\n11733 68791\n50787 80975\n29319 55645\n61816 87445\n30917 79554\n1945 69251\n68116 90310\n7444 60529\n48446 74390\n6421 48472\n9238 79914\n3865 38832\n29409 48864\n13695 38442\n29549 47288\n31072 80506\n83769 92507\n13941 52790\n29941 54333\n92205 98322\n40614 69633\n73163 73840\n41685 98467\n5859 74919\n63111 84648\n53074 86394\n12109 96403\n61414 84329\n108 29434\n41011 82378\n11949 37395\n63908 97844\n20553 56342\n66853 76152\n11800 18490\n23450 95310\n1203 70620\n38471 57666\n68813 97562\n7750 75413\n30409 61645\n3102 19029\n49704 72503\n13564 74985\n1681 25287\n46352 99344\n34705 65459\n22576 80848\n13736 86664\n509 51739\n6118 94323\n35089 55523\n43029 55394\n11915 43035\n54934 59951\n35461 78922\n74150 81627\n25928 75059\n28473 40818\n51447 90685\n21866 37281\n39860 63945\n21454 49555\n70461 99668\n31050 61497\n75731 90628\n88917 92168\n3701 9558\n15666 47847\n15779 21793\n85362 99617\n38191 55692\n36157 86209\n57201 75994\n76193 82377\n20523 81241\n66022 71003\n6591 21944\n13514 56012\n69007 83219\n4682 13251\n4652 9492\n16844 98411\n80865 82948\n16116 91474\n16152 29717\n13832 59176\n45754 79649\n13774 30652\n965 49130\n19675 19940\n6670 20227\n53465 77509\n20602 91680\n22416 79097\n67712 83466\n33447 86347\n60343 64918\n32715 59745\n33950 72715\n26483 40463\n25608 95061\n10435 88311\n29146 72485\n7487 53337\n32656 61669\n28574 63639\n29934 63030\n9505 12578\n9005 66650\n5237 71248\n23811 39168\n10967 67510\n34281 54441\n8384 63466\n8176 68463\n15327 71605\n34241 51625\n11857 54010\n21925 57794\n69004 80888\n15591 44941\n46101 83225\n6344 17343\n16291 62045\n51486 64229\n29096 35858\n7021 18783\n95594 96019\n76403 95972\n37282 42015\n10130 25384\n15428 20350\n19519 83227\n20302 30477\n71897 93994\n33695 89496\n1113 90676\n52904 96203\n13400 16334\n25675 78944\n6768 69495\n10059 32044\n41864 75130\n28229 98164\n65801 85473\n14853 24179\n32808 93585\n22305 98552\n59938 76913\n784 17040\n1973 96953\n36385 93706\n39631 65671\n29860 51262\n15377 67345\n6529 37442\n78879 90417\n50039 71523\n47068 53610\n31274 99606\n68379 76403\n21253 40908\n11914 52366\n17494 19130\n2151 79862\n8099 35463\n87488 95310\n22085 52837\n67142 79725\n26837 60727\n31015 91161\n42487 65870\n23641 90108\n52633 87696\n23505 37919\n52030 68458\n4163 69261\n74841 79020\n2606 52450\n46015 63518\n22780 26189\n33310 79274\n30805 47095\n28375 46746\n64086 88841\n55554 82732\n43944 52903\n6562 82984\n24492 82226\n11371 72257\n57218 82728\n29416 33817\n47640 74226\n76915 81185\n67571 94847\n52263 68152\n74919 97614\n82316 98955\n63583 65523\n5124 65180\n47606 63311\n27912 38860\n31502 76981\n58778 75524\n68553 70011\n72670 82990\n21411 85113\n6422 13004\n14108 54532\n12634 29916\n35251 36012\n50686 92227\n13447 88584\n16433 78036\n5417 21469\n46965 75903\n51742 73596\n11537 86241\n41103 97900\n30715 68064\n50548 74193\n74983 86493\n14132 80896\n78360 93562\n15809 63179\n46457 56496\n16001 94550\n41248 95607\n66839 73898\n28004 83015\n35636 97500\n14594 56456\n75870 93239\n9559 62147\n25271 81844\n5840 46037\n21201 58733\n18576 99374\n61869 75716\n16508 57597\n2476 97032\n56943 83541\n7538 61210\n26288 38039\n10145 75570\n31441 73096\n21369 84711\n9520 21350\n28279 95385\n36788 55356\n29792 67994\n31662 91379\n91641 92408\n10156 49310\n13616 71466\n35046 54791\n39933 86849\n42373 95904\n2491 16159\n38788 73875\n50474 58921\n56692 68087\n38778 51738\n14128 62511\n26689 40599\n20976 56506\n30796 31348\n40172 71208\n80979 85166\n44108 70396\n19157 66910\n32325 42307\n31693 78827\n5780 23029\n11440 89378\n61045 75344\n25027 48525\n46108 47808\n14901 93112\n27957 44999\n3772 38724\n59894 63421\n65236 75431\n456 1855\n63095 83148\n67915 85958\n48811 98335\n9119 67548\n65527 74723\n77430 83378\n69777 78414\n60871 65033\n46105 84309\n11963 14275\n2303 39522\n45544 84679\n29886 50295\n47272 78344\n59394 77455\n31138 75828\n10239 99039\n62699 96950\n6922 88437\n96594 97857\n16394 52240\n47911 66024\n51826 94934\n41531 79743\n21372 69639\n7548 71897\n40764 59808\n39556 69477\n25242 48427\n32111 91806\n11669 59250\n5535 59672\n46203 50840\n12745 30786\n24321 67450\n36909 44042\n24158 26919\n38461 41375\n77537 99815\n59448 81185\n19985 98460\n77688 83654\n1493 10572\n40928 87495\n10987 36613\n44316 47120\n47980 85427\n82308 96887\n645 84392\n55838 92556\n20895 38873\n12932 30699\n16931 64587\n58789 99698\n15900 92242\n5269 15705\n28031 48290\n45619 78058\n32431 52520\n11018 95044\n7574 18143\n37337 58010\n83298 93058\n15408 48678\n24371 48099\n15718 66815\n28955 29770\n15703 30315\n40577 43503\n20178 62815\n24759 65755\n61538 98229\n10341 36882\n17402 17521\n19227 97340\n11112 21064\n8464 61300\n47210 80246\n1963 75355\n14123 36936\n101 50626\n13384 67817\n31267 37726\n22110 67956\n60704 71259\n82745 88831\n45247 99921\n8798 73923\n26410 89838\n24432 59848\n68210 94364\n88182 92234\n27416 89966\n27108 77432\n49064 54029\n6666 18176\n32942 77807\n9769 16061\n57842 81615\n40246 56691\n60481 97180\n6646 95908\n48546 98333\n10630 61435\n72188 77233\n14552 93640\n25676 83341\n48642 93396\n42771 82984\n26098 55360\n65456 72928\n52862 96164\n22630 68880\n75324 83133\n8801 68673\n44876 96445\n2781 79714\n20629 75908\n55002 80430\n828 19223\n37913 75717\n69369 93058\n48016 64527\n39325 65067\n22506 81356\n6872 90271\n12051 17417\n56276 63297\n50395 78480\n55380 58624\n51211 66692\n49940 85540\n57479 90851\n51489 99575\n14995 19657\n88623 91520\n14337 18109\n34807 60079\n37225 56603\n30743 71214\n15622 50166\n4714 46428\n24355 97554\n47316 95748\n54458 79911\n3009 30345\n64677 77269\n18299 45618\n77622 83398\n31672 31981\n573 89948\n14385 36973\n3079 56077\n40033 58344\n47315 57410\n29441 53233\n50756 79452\n37695 73257\n17725 64146\n438 76457\n45957 85137\n40381 46772\n572 37098\n40583 40799\n2528 23156\n12084 40876\n62861 81951\n15173 80137\n53033 75498\n7051 49666\n54538 88056\n36124 82292\n23776 69473\n31829 32069\n45854 66010\n10555 36401\n14907 67083\n36492 47498\n11257 93975\n13478 34528\n27722 57347\n4708 89187\n17051 41576\n17389 33577\n24331 41003\n22847 46247\n37493 43932\n63296 81903\n65517 97154\n51909 58336\n64710 69755\n74133 95357\n37161 75655\n10435 58747\n67342 92058\n61948 64821\n26240 93099\n24723 41157\n25862 87347\n10885 61861\n36735 45495\n80362 94935\n55220 95515\n15501 17509\n69558 71735\n48109 53535\n55563 66253\n72177 83795\n26491 45037\n15684 98277\n18806 42651\n15560 94487\n16760 69184\n8241 71827\n26376 97408\n53790 66132\n51066 71459\n6981 90456\n2238 7585\n70590 98374\n2893 25321\n30376 76672\n23155 90994\n37834 52214\n7110 22353\n72170 78329\n27779 43721\n6529 20220\n9834 60892\n42136 60421\n80898 97979\n14705 37252\n48939 82524\n37067 68588\n53489 74503\n45560 60017\n29658 71648\n42404 94865\n9078 87029\n11408 94934\n12839 22442\n61189 83957\n25193 74755\n63935 68351\n60750 97805\n32987 98910\n66039 86602\n53821 64465\n21165 89180\n63471 74187\n35554 66442\n891 12249\n3238 37367\n35816 75881\n52998 97228\n1942 65792\n15432 19912\n48607 96141\n70442 73300\n6290 77905\n29468 34157\n5755 36030\n24280 71439\n30564 82736\n46417 84950\n33064 99734\n22684 49321\n64038 93448\n75886 95414\n2349 89067\n54161 62707\n23481 73587\n4882 70086\n39023 55445\n41398 66377\n68984 81812\n6068 32864\n9875 47812\n51639 76223\n50376 77958\n16168 71152\n368 99137\n33500 33997\n10097 96534\n2174 10485\n27882 69805\n78600 90700\n59635 83685\n37166 47559\n63318 79063\n17620 84467\n51573 91018\n6013 7144\n72706 83476\n26911 42101\n94402 98505\n11149 59522\n8016 80421\n39600 52980\n45557 95235\n36888 46177\n21656 73815\n40619 80504\n77156 80255\n37722 65166\n25564 51072\n49640 56603\n85382 87367\n16294 21452\n70619 76942\n23116 61171\n60313 65952\n700 94913\n45396 59220\n49139 75148\n1487 31404\n19093 44388\n23458 35357\n12849 29969\n91292 99492\n37405 55162\n32896 36992\n41999 97643\n19534 61291\n3517 30115\n21407 95260\n59582 86765\n42993 95221\n37016 65217\n61945 95705\n27453 76785\n62938 84756\n41821 42575\n44665 52644\n93032 99533\n18873 87730\n67911 92920\n5628 72259\n41640 88792\n45592 75184\n50330 98653\n2636 21628\n65172 70095\n7872 96030\n18911 87507\n27061 40726\n9097 15685\n64967 85177\n52711 61315\n7052 70158\n54099 69440\n927 99048\n17483 71874\n50873 53122\n61363 82667\n49567 65798\n59481 72876\n29468 68745\n40514 75616\n26687 69718\n349 64159\n3876 44835\n133 14301\n30674 80884\n50376 61182\n54282 94401\n6823 50009\n6698 66541\n37595 52993\n52306 69975\n62307 87432\n32518 44270\n72658 94998\n670 27220\n6421 15213\n12221 32125\n45692 52919\n58100 93165\n25539 79030\n33614 82695\n16940 39416\n74656 98572\n78406 83744\n79562 98224\n38964 56807\n17314 21037\n22586 72576\n46388 80811\n6682 40095\n9908 79289\n37295 74070\n6876 33198\n44602 89019\n62754 96298\n75443 82337\n5676 19989\n78121 87521\n48497 93121\n28125 91926\n21107 23708\n23084 69594\n39443 87768\n37447 72288\n36297 47031\n932 27637\n10526 75716\n40072 55472\n71382 92093\n24813 79567\n41862 87318\n77227 94816\n23799 72141\n22000 36636\n29985 77376\n16121 87302\n74164 91589\n2724 40337\n9966 28419\n64684 85856\n54946 92564\n10552 46089\n87620 89321\n1444 9409\n43224 65801\n20240 25778\n38335 58057\n56766 71084\n43786 72542\n49587 93879\n9017 92490\n61900 73934\n42307 45419\n20700 86567\n9558 63567\n18754 83434\n10023 83217\n57414 97814\n61516 69627\n272 97707\n63572 97462\n2602 30429\n21552 71007\n56670 61717\n12443 87265\n14991 67277\n51472 91258\n34940 50244\n9711 79432\n3936 16705\n43403 55932\n2497 15812\n91919 94558\n19709 29073\n78313 81172\n54400 75663\n5755 58424\n21891 97747\n56726 88845\n760 50783\n6920 19827\n3539 78139\n3255 23056\n54968 74750\n18004 95573\n5258 60410\n57643 89239\n55472 93445\n59597 75854\n26335 98355\n93871 98061\n49138 63892\n5095 14319\n15735 80094\n16681 22153\n83569 97295\n63999 92658\n46920 69396\n41812 97532\n36873 50253\n67514 82078\n10486 92625\n60480 96328\n43128 88382\n10338 35665\n71262 85369\n47784 72229\n45715 47939\n13250 25791\n45336 67509\n41311 70962\n37500 60771\n74917 94253\n34473 44701\n36377 37336\n23219 35713\n32963 63387\n46999 91567\n32201 64003\n26257 97243\n62628 71612\n75611 98875\n9205 33911\n35166 61135\n19413 89462\n16213 94082\n33474 49271\n81667 94028\n85808 86691\n966 64533\n23767 29440\n36111 36925\n16204 99853\n18689 93851\n35861 90011\n17572 58114\n11962 78919\n73391 88102\n44352 90208\n20014 30666\n37426 89684\n38476 79866\n32061 83082\n40937 62306\n9844 25406\n41898 85736\n22669 74113\n40233 58435\n11128 46209\n65691 75005\n10535 14765\n32467 67324\n82609 87314\n56476 95345\n30138 99510\n37271 55001\n6712 13826\n17062 81369\n41265 64591\n13413 40201\n19545 76101\n31750 69486\n2913 23292\n69221 70435\n33533 77931\n11710 15298\n43106 84899\n36970 66902\n49165 61999\n2143 48975\n13339 15197\n14613 93646\n71803 97150\n17700 68468\n42106 59259\n64381 80040\n41530 91791\n18286 88340\n50133 55928\n51011 81139\n21206 95949\n63309 89267\n65198 99690\n25 44170\n76703 77239\n29364 52986\n20163 44438\n47230 70483\n32701 48108\n11683 83940\n9037 10091\n91419 94238\n8103 93635\n46078 64834\n89220 93569\n19195 46005\n22489 50593\n26844 71041\n29118 93154\n48052 56068\n48779 69603\n6856 85591\n34421 46201\n44686 52764\n21685 71533\n85977 86049\n4349 89622\n31027 86739\n14982 81805\n66476 79001\n16423 88043\n13672 14980\n22494 35370\n7859 95007\n2012 26758\n31046 46806\n73188 87179\n46222 62986\n3604 77280\n7534 72023\n15832 41822\n47239 63365\n23009 40447\n29945 48054\n26510 31435\n42649 68095\n5620 17166\n20026 79900\n8799 65455\n24400 92537\n2483 77859\n56376 90745\n22387 58143\n21597 48121\n7288 94355\n47428 82981\n20543 20756\n24474 41657\n16058 18774\n42857 74822\n26525 71435\n47183 67233\n47564 50055\n45471 65469\n14192 99602\n41372 63129\n62637 92427\n59608 90718\n66726 97727\n46617 81356\n42958 75426\n15761 45738\n8068 14173\n2721 31221\n29453 99124\n702 2356\n48456 89288\n11864 16354\n9297 90038\n68773 88552\n55667 66355\n32225 92105\n75939 84141\n19113 33426\n47246 61817\n40060 78027\n53836 86361\n19954 99505\n9239 90428\n31950 86434\n9853 80094\n26503 50611\n728 94519\n29630 63336\n15851 71855\n43606 76272\n57545 87066\n64269 99635\n26769 63222\n4877 84771\n60627 80237\n5777 77707\n5431 40638\n24619 83158\n30065 91606\n16760 17481\n60436 76476\n7690 60047\n26697 65440\n27511 99015\n39528 51475\n69513 75067\n4095 73752\n42627 45556\n31159 73898\n77904 94536\n30995 86761\n25276 98556\n10134 67321\n37924 54751\n19965 60833\n19001 65774\n5242 86851\n45706 78507\n65129 72622\n1177 49857\n2715 9156\n48651 53669\n45304 47406\n37505 79719\n1883 4541\n73464 87081\n7335 24419\n29105 85366\n40945 69549\n4416 78677\n16551 83472\n45662 74022\n5043 29180\n12911 40808\n41340 43863\n5350 42076\n42190 54364\n50213 54094\n54943 69384\n23019 97675\n39862 49521\n5831 94344\n1367 8247\n31826 87649\n32345 33194\n38866 81826\n8225 41097\n6997 62082\n2551 62397\n1495 13176\n77852 77856\n36779 72564\n10037 99327\n42025 99444\n23626 54975\n73509 99891\n23987 25960\n23811 33354\n41173 68768\n10408 89009\n52143 80862\n42938 98600\n32259 78430\n6114 58257\n51580 80311\n41445 60193\n8777 14993\n37785 88567\n78121 88042\n73199 84887\n29698 71941\n233 10816\n79752 96847\n19324 69585\n28953 82759\n51459 87522\n52682 68984\n1583 55541\n14298 25850\n8499 8830\n2236 54759\n429 20258\n2533 50492\n1034 98404\n5332 41496\n23211 62533\n3645 33930\n40046 41263\n46854 86996\n62175 63920\n44908 99943\n32774 39298\n49406 78406\n6122 29018\n12814 27221\n15718 38697\n34694 94862\n58007 89129\n17024 84909\n25076 42294\n58958 95797\n46970 63170\n23660 34178\n4709 86945\n8323 41853\n77390 79206\n27324 33013\n72048 82146\n3718 41876\n28277 57920\n25955 77802\n52673 57841\n29682 72383\n842 89394\n29422 59520\n3571 78419\n18113 23977\n24217 52709\n4864 62011\n58921 73154\n9749 20790\n4582 68880\n96674 97368\n86639 91870\n30294 42454\n85954 91309\n71180 99485\n32346 51232\n68290 97887\n29634 82620\n55605 85621\n7347 97302\n45068 98283\n16988 95806\n45751 69912\n26600 90973\n26189 57471\n67117 84993\n9583 54443\n48212 84283\n52083 60670\n36425 40327\n25428 90644\n9611 31791\n29449 91914\n16214 68275\n43798 98717\n3475 33354\n7709 53923\n86679 98714\n77740 78330\n25538 67791\n26367 64989\n8114 75038\n45615 88319\n3051 63054\n25346 41722\n1935 76344\n2194 59345\n18595 36547\n75078 78609\n30807 87809\n13705 83461\n29018 30446\n8929 47382\n58799 87492\n50743 81275\n15584 80860\n58537 62367\n8256 58316\n15950 27443\n92121 97193\n949 43887\n76531 99813\n35691 62910\n22726 57563\n42473 68227\n51752 85524\n20760 59478\n42220 70981\n53534 71183\n1500 38229\n45465 69363\n11929 78429\n340 65861\n29066 52293\n60119 93222\n33731 37023\n43340 71490\n7721 19562\n49560 99175\n2499 30607\n12807 24909\n200 36779\n34423 97692\n41220 74558\n38052 92849\n20363 36943\n13153 75757\n20209 80568\n36745 74369\n40920 98031\n39352 96120\n72686 78330\n14558 58684\n45423 56861\n80238 85363\n64422 89860\n91268 95067\n15205 58641\n96 29875\n9189 18421\n62972 88560\n51090 62550\n5973 31668\n40111 96006\n921 30860\n12730 33987\n44208 57039\n22770 40306\n59863 85353\n32692 94380\n60334 69692\n25516 54093\n65642 76407\n2735 51081\n96391 97661\n47130 62816\n32759 83762\n31914 83921\n4796 25513\n81312 85414\n55396 89664\n58955 87339\n5547 37821\n16020 46030\n38950 97225\n52173 80008\n12744 18050\n19528 50675\n63956 97023\n3045 98568\n8728 38842\n8336 76664\n46853 53362\n1966 16793\n27167 54037\n64534 92491\n35841 71134\n36706 89338\n67288 92422\n7387 99472\n1731 48414\n58482 74827\n61701 98663\n37072 79636\n57228 66457\n23432 29436\n25762 50870\n28475 36805\n45532 77521\n4468 76198\n56291 67452\n29922 39818\n9121 97337\n15395 53928\n20500 89092\n49307 49770\n51156 54821\n9760 16710\n29906 85371\n15494 52980\n50173 51310\n35126 92226\n45722 91859\n3677 64979\n63187 86642\n309 7293\n13928 66700\n41000 88663\n4275 91367\n7968 42314\n52083 57374\n21640 91019\n18312 35230\n18761 65035\n17305 99329\n24629 32796\n42329 55345\n55153 77325\n59722 61347\n24610 59766\n19873 39415\n51532 83620\n62066 90800\n13057 40106\n19577 97349\n36267 54079\n9125 77629\n81003 88090\n20613 54950\n18492 29616\n60266 82573\n35028 65732\n5428 21768\n44397 59642\n35 41765\n43335 55659\n19456 43794\n17343 76998\n6756 26247\n20272 84481\n40061 99336\n60442 79303\n19687 80897\n9069 18395\n43506 65398\n6459 15463\n37435 46459\n42081 46049\n71574 85736\n36071 42320\n4416 93932\n35798 96288\n31428 74121\n11498 98842\n2500 77660\n55483 91642\n67058 94407\n69920 97269\n15751 53348\n43183 74597\n4609 95977\n67069 88108\n1313 45020\n25435 34650\n39405 66890\n36 7211\n65521 77624\n26549 44298\n94867 96611\n33103 53839\n5769 91651\n75200 95332\n12957 15917\n13694 34546\n1378 22403\n20877 28455\n76679 87604\n56861 61526\n2778 71718\n64150 99511\n29698 52364\n12263 39545\n4269 72123\n49803 53752\n51881 55828\n6607 46705\n29241 48121\n32576 64117\n90161 98980\n15284 32403\n31369 50393\n35764 75027\n60806 92734\n50352 60946\n15459 30090\n48073 84656\n39762 56957\n31985 78573\n18852 97292\n23135 32489\n67508 76283\n59142 76317\n25767 57610\n10760 88397\n40868 49569\n91201 91445\n13443 27038\n11658 30451\n9420 37602\n29160 51810\n24657 68084\n3000 69309\n9110 77356\n1564 74254\n469 9816\n31226 67703\n53350 91006\n70647 77441\n46335 66048\n65621 78469\n79927 86272\n43710 76215\n58598 66570\n46307 47346\n24575 30865\n78046 99915\n41908 55045\n32029 86041\n21896 31796\n59207 70391\n28510 45519\n25259 90884\n28734 40255\n54640 81813\n40226 65723\n48113 94353\n34883 62231\n13717 62393\n81325 90469\n11844 91317\n47396 96261\n67858 97760\n26690 75190\n81713 83129\n5819 10470\n45169 55681\n17985 60975\n30661 91942\n70467 82079\n23222 75308\n14277 53181\n23444 75079\n52962 94919\n19380 60992\n53754 91338\n29410 89989\n83564 92399\n17216 20012\n25213 29570\n370 86505\n28133 93810\n54798 94701\n1234 18231\n4368 71631\n67165 94057\n61911 95641\n16484 33482\n22656 57955\n13677 87939\n8192 80534\n9353 22449\n10567 44609\n10856 52831\n47308 83630\n37478 73476\n4691 93337\n65385 72223\n11101 40589\n16265 94909\n20500 98124\n34908 57347\n4107 93678\n50345 56281\n14530 22530\n10014 96434\n1878 92675\n4966 71345\n7731 23804\n46055 88844\n1445 54415\n66486 91941\n3635 78262\n58616 77424\n11618 57111\n24101 73413\n45788 68389\n91452 95204\n20601 66413\n85179 85579\n9796 35927\n62007 99598\n27135 58416\n241 54137\n23789 94562\n83364 93263\n29426 50259\n28594 37326\n20970 62271\n11001 36517\n28524 94319\n76831 96177\n88138 90436\n60911 72421\n33271 68980\n83526 95519\n36270 72191\n30137 99763\n13922 89063\n9264 33539\n39448 53317\n17252 27594\n21308 60038\n60140 72468\n5899 52278\n3205 38755\n19197 54279\n22365 55493\n37344 51072\n5315 59326\n29932 66110\n19738 28590\n55335 95499\n55849 89953\n18158 20750\n69266 91643\n59188 77064\n4752 20589\n66543 74705\n54424 85743\n2380 49578\n35637 40776\n37832 50265\n24334 89061\n54098 60987\n78919 88213\n38362 78501\n272 93413\n6933 50823\n73287 79101\n17355 56977\n64634 69032\n21756 74718\n68816 84822\n70725 86796\n53829 88544\n17870 61269\n59205 94750\n39206 91773\n15702 69337\n13725 98610\n1233 90769\n10357 24004\n25434 37658\n28191 46883\n37541 42112\n22709 73094\n22473 93122\n13558 18378\n2960 24549\n45357 98874\n13740 52409\n47455 52385\n51552 81288\n26147 28900\n11231 82079\n11609 73407\n47366 87188\n19945 68870\n22893 78191\n30082 71113\n36052 92045\n11597 49542\n3840 90151\n24878 98967\n464 53843\n31339 81222\n4711 87933\n40558 51499\n66221 83325\n19675 39319\n339 8940\n8148 13492\n43616 73134\n64951 74691\n16616 59384\n7379 87456\n1030 27181\n13080 16258\n12286 63074\n48371 91118\n742 70004\n29524 47826\n3749 82215\n62170 85547\n40823 45683\n70317 74914\n15943 85514\n77640 90491\n80302 92996\n17990 62210\n668 75255\n41963 67019\n47196 66678\n35756 54801\n76154 83295\n12557 47746\n8046 56697\n23791 77145\n15737 52428\n22923 47832\n12255 50401\n22254 46313\n12210 33233\n71023 72253\n1896 76684\n26637 59086\n290 56230\n649 27794\n82647 85459\n67509 79468\n6191 69110\n27821 98782\n13907 74459\n27361 58091\n1888 65081\n10046 99158\n9708 57566\n63757 81991\n45110 88086\n17327 68968\n27080 75516\n6951 39381\n14640 71021\n17396 57180\n46539 74260\n20578 83842\n46938 59987\n19315 91946\n12564 14250\n11584 21421\n5940 93086\n53554 85524\n34251 67548\n38124 79324\n27919 51299\n52812 63769\n13097 96528\n29004 67595\n6988 77096\n4871 61758\n38572 83575\n16834 81283\n62036 65243\n76763 80008\n54784 78678\n14361 25993\n16160 23805\n37344 47176\n14276 61817\n2345 47065\n53252 57444\n26792 84139\n12166 45354\n15300 72613\n35137 79335\n19951 70970\n54201 62314\n46158 65355\n45790 81759\n15574 89187\n44266 97139\n14935 38914\n15233 60362\n26886 37162\n93658 98165\n1849 72007\n9898 27698\n32418 52049\n96431 97842\n41444 61760\n24883 97375\n23057 55963\n67590 98889\n12253 30061\n58392 87903\n30107 96061\n34869 70883\n20663 42527\n37579 41658\n29317 98354\n23318 99286\n68942 72391\n45578 61645\n15397 51089\n14418 83357\n20696 81773\n18950 89701\n10639 12370\n76639 89450\n455 32519\n72937 94643\n52438 75350\n25837 92046\n13481 68963\n1859 24021\n63805 80741\n45417 56488\n25880 48920\n42484 90713\n27937 95562\n42981 82307\n14879 82746\n61140 80855\n34484 70794\n71534 82756\n9039 62701\n44849 59986\n4341 92624\n29432 33043\n79557 93561\n8905 92056\n19933 57351\n11280 32129\n24517 49975\n48739 85813\n17768 46831\n72008 79311\n59645 71356\n28834 75438\n82193 86528\n29215 99484\n95575 98937\n65727 92933\n34755 51076\n1705 81295\n30754 98351\n42873 77785\n13225 92877\n17446 26796\n3627 81855\n49830 87894\n62456 79874\n38767 68778\n57807 98252\n13839 16555\n60380 77923\n33781 81386\n9739 74814\n4170 11967\n47234 47931\n7565 74790\n86902 98945\n28256 37716\n5679 90328\n2780 77514\n30682 77047\n5989 80639\n22436 73837\n63455 91972\n67167 91969\n71101 72052\n275 26654\n54595 71258\n13509 66018\n38576 71724\n60740 69380\n5003 84258\n3398 80601\n4051 18814\n46976 54218\n30676 74000\n23550 75601\n85078 97302\n47371 51065\n13309 61474\n3359 55656\n53511 97335\n2490 33110\n12279 97803\n5995 73486\n45468 96367\n18483 27027\n69863 94897\n71929 91868\n28636 39812\n20177 80150\n51800 58695\n41921 79647\n18912 27967\n36742 52288\n31478 61833\n34121 86208\n25768 79622\n46138 90937\n44862 88259\n2025 57486\n49465 50353\n16234 86578\n54399 64393\n40036 97275\n8322 29168\n7336 17496\n5597 54116\n4527 92881\n68276 95195\n14884 23623\n78547 99770\n49984 52402\n29792 49974\n25091 81298\n25836 75288\n8485 71875\n17479 79086\n41214 94706\n23079 61178\n57789 97836\n4184 17588\n13506 28980\n4127 19014\n49027 62001\n12471 33904\n76032 79127\n338 38444\n21627 47915\n10901 21616\n28338 80244\n45389 77664\n2574 94052\n33357 60403\n89996 95426\n70420 92205\n41293 49803\n55292 88199\n76641 94945\n33883 36422\n14299 37657\n77371 78033\n73688 83269\n62023 86802\n31617 34076\n16284 67672\n48361 56658\n37964 98220\n12762 99855\n17893 90506\n49304 81131\n16157 63612\n8958 72247\n16227 33743\n2961 78993\n26262 92355\n67549 73846\n18607 38975\n36580 54517\n89477 96728\n90938 91106\n10159 55519\n48395 75675\n76951 78170\n27488 94234\n9257 88097\n16256 67596\n19551 98438\n19836 48252\n11089 84548\n82099 91665\n9045 69897\n35282 94856\n36070 82909\n30641 41766\n25389 37416\n76586 85432\n15908 73375\n67951 73545\n898 71345\n11141 45082\n17711 51891\n34227 70411\n15051 60293\n2160 58659\n19601 59832\n83494 83994\n54713 99819\n9930 43521\n5286 22670\n2837 89943\n3413 63974\n29177 79087\n48165 84281\n21553 66659\n10791 81257\n10698 47760\n18948 44612\n15084 49982\n2414 81145\n6759 77006\n45390 71510\n69379 99841\n47277 86959\n57262 90390\n7414 47987\n25822 53513\n743 86704\n7194 17615\n23260 67108\n34139 97178\n56911 69586\n18875 72520\n27691 69240\n38831 94174\n45673 71227\n22862 62637\n88232 97745\n12658 49933\n40451 66500\n26330 31108\n17125 83651\n1616 78115\n81340 94022\n54135 88720\n45383 92343\n39225 64803\n44401 85729\n1809 44456\n60080 65334\n7886 91713\n53965 91196\n20834 77103\n4900 81291\n84988 87756\n19943 61759\n6426 54253\n14843 36218\n15642 26660\n11438 54048\n6936 24554\n40768 71471\n45059 91999\n40827 47163\n66088 92151\n36004 43603\n59728 73165\n21474 38995\n12007 41051\n67073 99943\n13960 33804\n84925 90055\n14468 88960\n5424 70360\n23499 33488\n21551 74721\n26792 38498\n34839 43185\n52995 60762\n8164 87152\n73337 90541\n47072 85067\n53509 77342\n56430 61083\n41345 51683\n3411 34602\n42315 88702\n63235 95432\n32543 73037\n5783 6432\n44593 55201\n28569 37576\n13309 35636\n60848 75875\n37690 80364\n67147 75868\n26596 47133\n52504 66456\n3140 11971\n47078 95381\n86238 87635\n15242 40453\n13927 29432\n40480 83128\n61098 70971\n33277 97078\n34000 68341\n44470 55756\n64035 76012\n40890 47264\n37277 87123\n33515 47360\n12388 96013\n12220 72131\n22511 32688\n84570 97503\n51541 52694\n49932 52594\n72307 74228\n44994 63650\n61475 76062\n36028 66508\n13736 35532\n15463 51158\n3264 65861\n12188 71785\n86197 91656\n904 14291\n31051 75953\n53243 70570\n20501 65985\n31810 38351\n16760 39063\n13123 29446\n8351 46216\n54293 63802\n36280 91010\n4977 29654\n50751 68887\n32828 36810\n7709 44358\n7211 64027\n40789 90437\n43537 89357\n26111 45167\n41187 61927\n31284 34538\n16703 51520\n31378 99452\n11850 16319\n20757 74507\n24168 71416\n53477 87684\n43614 51902\n52666 82907\n39623 79761\n12912 89126\n10261 71276\n24580 96001\n10688 76584\n3281 37421\n45747 53697\n7726 52497\n30643 61060\n56057 99359\n39239 72913\n6775 98364\n10444 31085\n4804 43178\n7014 35564\n18152 94309\n48360 87468\n12347 15603\n32995 64880\n25925 42470\n3640 56507\n43110 90840\n2286 26116\n30018 32615\n71729 99182\n18220 65027\n127 9916\n80495 94911\n35114 95112\n14410 89207\n23724 52010\n14457 44617\n20723 99214\n5441 98783\n2676 77366\n24566 40735\n6761 86324\n3766 83812\n11827 24543\n14934 54309\n50369 94326\n19305 87817\n20861 90421\n13322 90100\n22339 74884\n80305 95685\n85910 98402\n12158 80784\n45561 95217\n67352 89573\n34445 42471\n37567 93084\n7616 35958\n22320 23098\n44487 59054\n25085 42719\n17624 37421\n23291 87963\n38922 69999\n71923 90111\n10557 88631\n57614 58404\n22263 23590\n12340 96449\n16165 96745\n75882 77610\n17977 24607\n31005 94060\n35092 99824\n1221 67890\n11064 72934\n57979 72353\n6159 13825\n6568 60463\n30918 58861\n22263 91866\n67329 80613\n44339 58057\n63400 65502\n1564 83927\n82045 86698\n6770 44206\n12587 62550\n81141 81477\n5939 52511\n15716 58670\n5126 75852\n15979 33173\n54260 89499\n71494 80615\n4153 20233\n23771 40144\n53569 92176\n2515 20429\n3435 45418\n27882 61108\n7794 81882\n25162 76883\n67242 76854\n46763 46900\n33587 45547\n66261 89582\n28591 28739\n30560 48747\n34598 44668\n86830 97517\n45219 60522\n42573 43826\n31831 60106\n11536 31121\n26701 67240\n8966 45196\n7353 74992\n5367 72001\n65338 92017\n15344 63716\n18661 54560\n39662 70393\n14208 14345\n17105 59036\n21163 21932\n697 5291\n69895 96731\n38097 48242\n42027 94959\n52755 66730\n28777 98432\n32424 66042\n41495 94933\n27083 46758\n20548 38384\n2177 36067\n4136 99154\n1857 39885\n3821 79271\n56334 89295\n23209 26882\n15708 93339\n49776 83167\n18406 28737\n8405 26420\n10490 57414\n22747 85179\n4021 80499\n18884 62942\n16986 80724\n37573 70640\n16614 67472\n12972 52245\n67193 83759\n69799 93142\n11646 71019\n68796 82905\n13858 27335\n40055 40523\n51986 94506\n46006 89280\n37990 68610\n7947 12429\n28765 90519\n16823 83343\n84330 84937\n42949 48195\n46158 92323\n15690 64838\n9709 22713\n60695 72343\n31763 73174\n69057 89999\n37866 41843\n11690 76462\n4566 65414\n10594 75103\n4713 76629\n11467 28885\n10786 38518\n6991 85516\n21620 83421\n14879 21757\n11329 61819\n19040 26109\n22444 53580\n25602 61038\n23572 65822\n33192 78134\n80317 97489\n55795 56788\n20574 31126\n58125 69501\n40217 90869\n49679 53566\n20829 99024\n36688 99555\n66439 85884\n46258 59976\n84814 88864\n34078 68997\n35049 48895\n39286 65491\n25760 86624\n28108 83461\n29456 51295\n20446 90426\n31051 46241\n36012 37672\n30856 87255\n11979 48961\n1918 4965\n11474 70101\n20684 78603\n5110 28985\n7288 58516\n9923 30044\n52283 90815\n2600 86397\n24363 25769\n62711 71378\n21492 96244\n59780 70185\n54745 69896\n36018 62978\n10849 41615\n50088 88766\n2443 68024\n65433 83931\n9037 45687\n78128 86252\n12794 26645\n45916 81828\n6207 77531\n6445 46376\n32417 70603\n8044 34717\n14711 16924\n34194 41371\n5868 75105\n41339 44421\n4443 66019\n20868 79163\n64579 93840\n2212 87157\n37375 83925\n4570 45200\n12681 49612\n3296 71085\n21307 28152\n34944 38557\n3058 89818\n64373 93912\n20618 69623\n16037 25772\n41178 45751\n5504 16539\n20011 34226\n58445 70146\n3761 44199\n45440 57389\n18509 51314\n35718 69645\n79439 80680\n28619 40441\n93147 97265\n56430 76446\n84038 87083\n51701 55751\n39083 53427\n23880 91741\n19410 71530\n34525 91889\n29008 69139\n19503 73247\n27993 86742\n44478 55545\n24977 51856\n46261 78857\n6558 64933\n25879 75246\n62130 95103\n3816 11351\n46565 56101\n16585 34943\n56608 59489\n2828 19672\n7093 34727\n22812 32914\n7865 24410\n17959 37407\n8443 91930\n33982 99746\n67373 88346\n25386 58158\n35885 56336\n39637 53881\n41074 47010\n25565 87439\n31798 34722\n50866 79339\n51716 71062\n21817 22697\n12746 61274\n25097 40446\n11935 22592\n50392 71655\n17916 69960\n64790 99896\n4135 76579\n78322 93767\n1795 31511\n4626 64478\n55516 70620\n25059 36136\n22550 56933\n61336 89384\n58845 97442\n63109 85931\n1572 24538\n4607 20748\n57745 62361\n13012 31407\n20233 91385\n24439 34020\n53894 94779\n8317 54606\n54499 95349\n4771 92724\n44412 53773\n45404 75845\n28944 50665\n15908 77825\n35712 96009\n87458 99389\n44207 97468\n36221 47672\n6878 77213\n7904 28523\n64049 98111\n65150 84608\n72054 77006\n7440 43629\n32259 64865\n13279 65570\n13207 19896\n290 87620\n19286 45558\n56824 83252\n81079 87987\n15166 20380\n7972 58432\n42916 98303\n11356 47660\n22086 40292\n31923 67928\n2538 95891\n2233 37102\n15286 92543\n6482 47266\n13081 55858\n43411 75173\n17101 23761\n84465 87267\n34743 49652\n56012 66784\n495 68290\n8422 25468\n26530 99191\n43686 88192\n23660 70674\n39157 95023\n24654 61720\n5784 79073\n2197 13017\n45844 48949\n5693 17350\n2567 54027\n74903 89152\n82351 95515\n37593 75323\n36514 52635\n33619 63723\n55655 89701\n26123 96608\n9431 52875\n34604 89752\n86305 91382\n8954 72509\n13787 62707\n11070 92774\n10347 27474\n19977 39866\n19179 79701\n42260 51945\n67976 72333\n30822 67666\n21724 47482\n52344 91700\n15234 35076\n23528 36563\n10195 56122\n16093 55541\n5844 33529\n19040 29164\n70881 76604\n20934 66046\n12928 26867\n16340 65949\n23497 24664\n45489 67895\n36702 75198\n35128 76280\n86374 98430\n7716 70371\n58971 94246\n79465 97178\n59016 67417\n18290 37212\n7094 75931\n19764 92020\n31654 31757\n17965 89656\n68599 99480\n12105 27431\n7298 13812\n63708 80657\n23957 50120\n43197 85586\n22288 31476\n47615 67770\n1003 79309\n88480 95498\n3766 27180\n46378 80670\n7668 11750\n58763 71035\n70153 99934\n13029 78841\n5315 12915\n54284 91027\n21893 79102\n49653 55044\n136 79971\n12111 48955\n45762 48141\n11293 43445\n59440 97285\n15103 81296\n20959 58376\n9269 83904\n12442 74117\n6932 65301\n40741 76229\n28513 65297\n44577 95656\n74995 75870\n59729 64981\n7285 61844\n2923 86160\n22116 81427\n52590 74241\n6844 62026\n2475 30457\n42556 60615\n23313 93513\n2526 33149\n50898 53019\n63340 91419\n7298 93074\n71077 87279\n18848 52555\n19438 92589\n12305 37474\n11871 69108\n67785 94667\n47984 56117\n57326 58276\n21452 59724\n45071 77635\n46890 62558\n29622 44242\n87650 96589\n3701 91588\n73493 86949\n20755 36061\n5859 47687\n49533 82181\n927 20331\n24182 73856\n11374 22298\n43149 95923\n40544 88068\n23132 74878\n17887 74463\n46872 93078\n5846 49962\n23275 45054\n73816 78780\n59770 99285\n16864 39198\n8462 27136\n92960 93849\n39139 94576\n11227 89076\n14362 26158\n2335 96733\n48449 83383\n14366 67992\n19218 77733\n30245 67559\n61842 71015\n12706 23402\n20178 98195\n59644 82353\n51240 79787\n1759 91520\n53183 79946\n4521 97977\n11750 14158\n25784 27506\n18980 23531\n16767 42151\n26866 52395\n8700 68664\n21105 58110\n92301 94073\n19179 48764\n26299 32027\n4756 68028\n210 40557\n8940 37045\n2848 7053\n41075 70067\n12863 16568\n62498 79898\n34003 39110\n8533 21313\n25882 36049\n5336 11141\n48401 92055\n11292 25645\n19365 54274\n4907 81583\n1569 17656\n12968 45529\n18479 74620\n17099 77314\n76830 79908\n23213 30298\n62734 72837\n9420 70472\n7251 42343\n51075 78327\n86204 97197\n38728 63354\n21242 34733\n49428 51264\n10889 95876\n35205 50809\n32464 60837\n38546 53572\n26174 46693\n88540 92217\n12491 73917\n40246 86076\n1001 49170\n6676 34027\n34362 83792\n17962 95145\n89783 89911\n50600 75945\n6475 7104\n24153 56112\n23096 53226\n41992 79191\n9362 30065\n26030 28042\n13956 72775\n49619 53046\n37235 75580\n8606 17532\n10895 25701\n42106 65085\n45397 97135\n40971 89230\n63576 67798\n25276 53179\n22046 91144\n64300 90648\n41427 84093\n62456 93142\n14217 42047\n46707 67360\n42146 54702\n43654 71144\n54420 94972\n9416 68096\n51010 76563\n12233 95375\n34139 70709\n87030 89959\n18809 62401\n2671 8344\n5111 21797\n69116 85680\n10040 16216\n35476 83306\n70365 90721\n49027 82309\n30977 61973\n17559 45493\n52322 92738\n10368 21023\n41254 50454\n55803 63498\n30671 99782\n11054 63979\n39166 99297\n34188 43932\n11220 79873\n42377 52414\n55478 77047\n1671 16350\n2569 72689\n40047 60105\n679 6088\n52554 62046\n67027 89643\n28444 33980\n79127 87303\n30585 62514\n62614 75307\n11057 78077\n50585 95359\n65635 91676\n15716 28300\n66397 91962\n22014 36968\n13583 59551\n1801 41225\n8048 99674\n13378 70512\n73093 95319\n15663 51460\n1416 71704\n11512 85669\n43936 82635\n23394 73344\n65462 68043\n41342 75248\n30387 79865\n9653 22710\n53926 94754\n75922 90423\n25498 67246\n37047 48377\n37114 78994\n14700 72583\n39004 81758\n57078 91623\n14093 75085\n9513 90906\n28091 60995\n43527 87008\n26530 54728\n71414 86178\n39900 87617\n68806 74378\n71770 92848\n21424 86171\n55779 58719\n36576 49102\n51360 57310\n42612 72616\n1342 72793\n67633 80636\n75550 98768\n21476 72097\n37381 75049\n3642 94396\n89515 91662\n5041 10870\n8019 67728\n18422 84977\n28827 36705\n60338 84142\n53879 87207\n789 27609\n87534 96447\n27331 73672\n87540 91268\n43031 88150\n57434 68188\n36315 54772\n37905 88810\n78387 90801\n29879 82551\n39325 51724\n70485 70738\n46020 50753\n13789 98531\n4882 83814\n71116 82772\n51304 62962\n28415 47032\n5398 79830\n72120 85802\n8010 82476\n7625 60655\n14084 22555\n11826 97163\n23266 29171\n34606 73979\n91516 94372\n80598 98122\n34962 46849\n41656 99930\n25833 53225\n10107 36654\n831 38819\n11841 44344\n13518 26327\n20054 85176\n11523 26038\n50717 75598\n22686 80726\n41128 97915\n55429 78027\n38775 45959\n65925 76008\n3389 21398\n57087 89210\n7420 48242\n24739 27850\n673 62208\n55478 84935\n46669 66272\n53578 90045\n49045 95144\n50427 52202\n20150 97561\n74946 98740\n22280 65564\n65 67232\n33365 33583\n10624 76610\n64958 90349\n8954 17932\n18484 53001\n38847 84399\n10079 94735\n26124 69459\n27868 56777\n17826 92195\n58792 67926\n35095 93713\n993 37688\n39464 43983\n25896 26139\n14392 26507\n39818 47546\n20608 28134\n27104 53107\n23350 97843\n16893 70368\n31569 59792\n52063 57135\n38914 85883\n18441 46865\n73645 81770\n43680 48346\n21912 29013\n78054 94823\n34478 93692\n64698 70683\n69978 84897\n40422 49035\n30145 70713\n44674 86400\n36908 96876\n29753 96840\n2747 46032\n3228 37742\n17975 90652\n30556 89474\n45997 81713\n22712 64069\n35854 47500\n4331 56999\n36989 85550\n21767 68398\n26146 67592\n6014 23404\n50053 90602\n58729 82780\n37701 92931\n33756 59604\n53185 89727\n4288 88933\n5042 69100\n10334 20011\n6075 70197\n1759 78529\n52637 63378\n88349 90276\n8932 10524\n10832 40966\n22587 26070\n58634 83343\n96310 98493\n10575 39602\n8299 50759\n7033 92748\n49430 55803\n13594 84693\n12278 81050\n7061 88251\n11679 59109\n26430 34937\n8826 77753\n64333 71647\n3008 5553\n9279 61983\n67242 67565\n49012 66188\n18104 25616\n2258 40056\n11303 20693\n21538 38198\n47900 88552\n21957 50806\n33882 62773\n71287 96736\n61783 81707\n20392 87531\n45331 56253\n68046 85280\n15957 96552\n71983 74556\n25721 96535\n8477 50101\n6248 68833\n58924 89150\n35078 84385\n57327 85994\n76588 99977\n5101 87787\n28450 73533\n65535 81714\n9630 77724\n32918 55952\n13184 59042\n28810 55509\n19318 33532\n46428 58684\n32407 45126\n37299 84646\n3799 19039\n37005 76698\n41990 75263\n50630 64412\n12746 27725\n18757 45245\n5792 22276\n98954 99053\n28119 79009\n37628 56568\n54720 72380\n11651 46768\n79918 92498\n26653 49390\n47159 79463\n69652 80288\n6777 88860\n3206 93484\n22080 92833\n21446 59176\n1867 34691\n31593 80780\n3798 86114\n19798 52269\n22473 65893\n93022 99600\n28893 46088\n21179 81783\n25445 61459\n45046 62660\n9240 66045\n26183 52809\n51540 68614\n28340 31453\n38418 38997\n5254 21723\n4462 94863\n38771 46644\n11744 90076\n19195 21482\n4760 17865\n56182 71422\n57561 77689\n93018 93668\n23894 53512\n8412 66451\n86747 91700\n21193 45553\n38564 78680\n5145 55763\n38492 93898\n49968 89297\n20245 64447\n5144 31644\n1420 45670\n16727 98753\n50121 94917\n53397 70199\n53631 78068\n47059 73286\n11616 87809\n35454 76530\n33715 58690\n55201 77668\n30453 68430\n28764 36116\n34843 95095\n20453 42437\n47010 98258\n3954 74037\n56497 77171\n4391 87616\n11766 98775\n23450 59437\n16535 18016\n67887 90282\n16329 22296\n19913 56337\n41539 90184\n2455 71395\n68000 76039\n5645 43652\n15399 29908\n44860 78489\n2558 86265\n54451 60590\n3334 29613\n21487 54003\n6999 91498\n57550 60174\n18256 46513\n38073 64907\n78483 96878\n59510 61933\n244 20718\n20752 87043\n27334 37609\n27413 46243\n64728 86689\n28506 41308\n65668 98731\n3255 80681\n34504 95055\n9748 53459\n17021 68498\n59918 61723\n44737 73320\n7100 77087\n32148 89173\n39881 83562\n5447 37871\n35080 89876\n10372 86597\n10332 78252\n46547 55121\n78707 82003\n13801 49457\n17292 21565\n30919 71865\n24581 39691\n58706 74491\n51344 97021\n11919 29953\n4588 99560\n85158 90075\n44808 78530\n505 20886\n4875 95009\n36703 66315\n7288 31886\n42522 46246\n36170 72849\n74317 84218\n57565 95212\n1427 62641\n19159 96267\n86519 99779\n14277 65964\n19650 44395\n23907 85992\n53315 70002\n33894 84460\n88232 99614\n6088 51496\n75271 92243\n7310 18125\n40654 41657\n7034 99377\n4534 17433\n45085 72772\n24398 25842\n56566 79609\n23881 67917\n39737 44499\n61522 68574\n54927 72139\n20564 42551\n1811 88263\n10986 67326\n27103 51584\n37161 67168\n19911 28578\n8292 17270\n11568 88896\n45040 84656\n51815 71207\n19011 47573\n48911 49254\n3010 82915\n22796 31213\n4872 61580\n57079 98562\n19576 73980\n11726 92151\n3831 75469\n15262 52472\n39174 60759\n91829 99061\n62348 91113\n28673 97418\n336 83813\n1746 78500\n50707 75130\n48702 70565\n24883 30383\n27657 82992\n8530 52169\n43631 56012\n53361 53414\n37806 88184\n2 80006\n34729 87235\n9981 37867\n53865 91577\n5723 14853\n28361 53904\n7951 63498\n2702 73645\n4657 75264\n40605 74669\n29884 75108\n80718 92060\n22386 28102\n17472 54714\n63387 72945\n31440 75609\n3374 69801\n45637 64280\n66732 99798\n364 69422\n84907 97391\n43473 77405\n50670 97686\n30418 62801\n3033 42654\n66416 89280\n9126 66658\n51799 66014\n53005 99413\n63820 82636\n70718 74295\n34077 39742\n45417 72267\n34362 68002\n32692 73897\n34089 70676\n53489 91209\n8817 47570\n78134 95409\n88411 95412\n14717 82879\n55377 95680\n13992 85238\n10233 55044\n3117 47032\n55415 57811\n8206 40907\n66599 94788\n78905 88402\n2584 68403\n35530 57828\n52467 64437\n20374 90984\n31513 38446\n34466 87223\n50921 54531\n69754 80937\n4440 17815\n45798 70758\n4435 11183\n30625 58466\n13979 88944\n29358 41569\n53737 80915\n6382 98786\n60578 61397\n41913 82546\n24339 29727\n58117 61975\n56392 59199\n42672 59934\n43110 48601\n20370 38440\n23681 87742\n33581 36135\n4933 62683\n3259 17740\n27502 37694\n29512 95857\n3140 96129\n38205 99771\n35744 67204\n30621 79344\n11149 78101\n35676 66869\n32770 65500\n12058 98450\n22303 86080\n30889 66760\n47897 53110\n33326 56597\n3576 98031\n31007 42290\n11313 50629\n1895 57270\n1626 84262\n16924 29246\n35364 61494\n64086 78697\n58349 67700\n21678 62547\n2520 71073\n44299 62869\n15314 96093\n23828 30457\n62261 99219\n62176 84113\n4410 81784\n4104 65868\n57548 78844\n8507 96796\n1197 46887\n28954 65706\n43027 64939\n19587 63986\n51876 65419\n27378 75169\n28231 86970\n9697 25440\n18699 89323\n38758 90594\n4463 92761\n19612 97585\n70877 98521\n45113 52994\n27673 56779\n27098 61662\n76763 89240\n25136 42510\n25707 31758\n26119 85842\n7117 12120\n66166 70756\n50657 99786\n14009 88739\n20349 77309\n81480 91086\n7718 13989\n44225 68352\n46025 89977\n48258 97091\n40887 85052\n49725 71081\n11342 29517\n43019 88823\n5738 88324\n82015 94674\n20852 76765\n50050 77186\n36000 64539\n34664 48566\n65597 69050\n68057 76166\n426 1112\n3927 96221\n68211 87560\n85422 99106\n76840 85442\n90700 98304\n9839 13038\n42022 87651\n34337 54245\n863 37735\n71582 94911\n72421 97648\n36502 72757\n40351 87368\n71780 89677\n17097 44375\n41067 56610\n13270 96927\n47316 92279\n7952 79476\n16395 82006\n40270 78692\n13575 32834\n11985 90236\n4367 7257\n13299 92905\n58026 64222\n1737 91754\n22835 82109\n37274 54643\n71899 97319\n26229 97832\n91181 92903\n8486 37334\n37051 46754\n19033 86148\n70492 78209\n61654 88541\n37461 38511\n61266 61854\n51450 67108\n29763 40988\n23442 85146\n34347 71137\n24853 43195\n39819 74548\n14672 78767\n45352 55599\n597 24329\n41708 62176\n47032 82469\n15952 77111\n25771 51576\n31371 43883\n18211 85326\n38982 86578\n19161 82028\n85152 94832\n22319 55987\n63178 89155\n30719 44153\n76833 82232\n44775 58250\n51199 72831\n43881 47623\n68940 93223\n10294 14911\n57518 68111\n10714 39840\n7150 24726\n4429 9305\n12470 35334\n14400 73650\n10706 79921\n72282 90782\n23536 52811\n36787 38575\n24045 79259\n25293 66021\n21913 70119\n64578 82401\n42158 74579\n24256 29831\n52841 90980\n536 20185\n25244 86561\n24565 64384\n84210 95929\n59492 76430\n41909 56158\n87754 91661\n72745 75163\n5542 41205\n8481 64853\n55917 77322\n30521 92476\n31114 47457\n93713 97128\n4938 54213\n7385 43733\n74536 78467\n71419 98771\n56629 58904\n10175 34680\n78026 94310\n60611 75633\n25907 57554\n1151 52677\n25692 69574\n3552 56220\n15129 91656\n49598 78648\n55740 91906\n19470 69523\n6220 21501\n45043 81081\n22014 40954\n28298 61520\n3130 4815\n26112 47092\n17158 90417\n17083 27244\n20848 45140\n42157 66519\n35641 90577\n6242 14546\n8108 21370\n29821 30698\n60666 82115\n3138 58625\n2868 19997\n4367 57045\n22872 50669\n80057 91621\n87621 96069\n33278 76800\n20738 82027\n57553 80399\n13101 87758\n10155 97372\n13820 73125\n68261 68666\n69645 98844\n45913 53527\n80089 97930\n12295 28168\n7975 13140\n91523 95383\n1709 83811\n16158 54350\n86243 96630\n63687 83382\n79041 86213\n32654 89011\n23916 39122\n63607 75345\n47804 83412\n5475 93304\n33485 80680\n43788 72492\n48251 68463\n55806 58167\n3257 29310\n15471 96729\n73425 76406\n67467 68565\n65644 79244\n23266 57083\n10922 29520\n39885 82609\n72928 90717\n13251 24008\n75088 90269\n18992 58628\n15388 97730\n50016 86935\n3714 12114\n31674 51179\n17364 43125\n64247 67125\n2492 88640\n61245 74120\n17837 98572\n47632 72542\n76672 78306\n33308 46512\n4271 13238\n37433 55842\n16050 69357\n3585 78219\n40054 79505\n33315 65819\n48425 66557\n39977 65299\n91861 94263\n34633 74035\n13697 90576\n79204 84085\n1625 44042\n4382 63107\n14921 64066\n22740 39594\n44543 67405\n57329 89433\n66878 86118\n4521 21247\n14215 40474\n78277 94348\n43020 76726\n3386 5591\n61181 93216\n35254 65983\n61769 93681\n13907 76179\n13348 92752\n4268 38551\n33537 65090\n14822 83119\n8719 85422\n45823 85324\n21627 59155\n25222 90936\n29649 29676\n21941 38464\n79596 95279\n58233 96070\n7556 40224\n17818 79718\n19128 95306\n12440 88997\n6276 59644\n7338 75105\n32617 80136\n66681 68087\n39802 65834\n4141 75696\n1683 96828\n21782 42353\n21629 97274\n47024 83603\n75160 77213\n52218 65525\n6859 26353\n18488 32770\n17492 77093\n54096 69020\n41817 64638\n23902 75319\n77496 83665\n48700 62457\n66931 71357\n11932 40100\n1967 67411\n50128 85515\n73842 90529\n37062 89998\n348 47066\n68657 71290\n20614 45327\n82256 95421\n31234 57684\n30302 30686\n65266 74546\n36105 62811\n86361 87196\n29720 61500\n66499 75238\n16289 41051\n33668 53935\n13167 67232\n12633 64513\n39457 71569\n15420 16519\n46844 58225\n24200 70297\n53364 54099\n1354 51087\n11141 87764\n2183 22178\n7545 21330\n22602 80604\n26219 70941\n6574 37819\n49251 90555\n36347 76338\n84482 89404\n37154 73842\n9459 59612\n9643 59920\n32378 51477\n57122 93439\n23176 71679\n19056 58760\n17910 39221\n31996 91011\n31575 48164\n31325 36795\n26979 67540\n5443 42984\n55485 99433\n377 95731\n81470 84126\n82262 94263\n1967 8130\n15005 53899\n58974 59001\n26677 87038\n33468 45573\n21190 37642\n37332 82307\n23279 75102\n65231 91883\n35565 62539\n49411 91199\n19940 43986\n34173 44235\n55344 88861\n31006 39089\n6851 62943\n21233 75876\n47959 97378\n42642 52256\n10050 74116\n2078 25499\n71681 93648\n47375 87943\n39508 65810\n3861 4345\n5046 41770\n62472 68411\n74363 92923\n14182 56865\n40813 58442\n42106 83321\n13435 35817\n19824 52228\n29637 74500\n16599 90079\n35495 39202\n9429 73310\n60066 63180\n11230 38980\n53806 74308\n25243 50756\n4709 78250\n7459 86551\n14099 20387\n41332 64972\n28207 94796\n90677 97134\n54404 55980\n38114 62345\n76429 83972\n14436 76778\n54378 84221\n35247 84650\n66190 80018\n70365 83607\n59186 87989\n28322 47149\n20298 76129\n23506 98812\n27048 84131\n54474 61296\n55440 72803\n37503 75315\n40562 69784\n66142 98143\n48250 67636\n27280 43694\n5689 60847\n72246 95422\n72023 86239\n69833 90227\n65847 88279\n47586 94861\n18004 41939\n29727 52761\n68430 81323\n49821 99113\n61831 92267\n72732 95593\n23656 34589\n72412 93386\n50571 51926\n4272 11612\n9888 88674\n88370 93335\n10619 79130\n2326 93176\n778 81198\n45944 84767\n8436 58799\n8227 31518\n57707 79442\n5292 69620\n43872 83429\n55795 82183\n62652 78969\n25266 79311\n11960 15120\n45943 48733\n42555 97003\n17361 51715\n8557 81681\n18602 91787\n26877 54351\n7757 61579\n9959 45884\n62641 82620\n2393 95239\n25932 83751\n2744 78632\n35002 70272\n16448 96514\n8562 22616\n30047 45667\n14907 53419\n3606 25508\n5010 31097\n14433 70261\n14033 68812\n38008 74600\n28159 35201\n17453 21102\n54296 64781\n15808 79698\n33188 39720\n33141 92016\n2234 53219\n25117 59037\n45383 66174\n12698 63239\n41626 45888\n22481 95396\n63323 89052\n41525 97556\n89038 94860\n9683 92008\n56658 60162\n22613 31444\n53450 85145\n537 6159\n70382 86069\n14503 24604\n77046 81932\n30157 83495\n72411 86773\n41679 44320\n32030 83300\n66089 95534\n85511 96275\n25095 94657\n46091 92440\n46032 75907\n62403 76113\n68366 88063\n21879 44382\n9647 94857\n12765 49416\n30111 62739\n27331 96660\n65695 85729\n26543 87070\n12645 90314\n28253 44676\n6342 17107\n90457 95776\n4021 10372\n11548 60300\n27345 68575\n11935 16172\n21515 27110\n59879 78308\n14789 32296\n54036 70739\n47382 92259\n1036 6612\n48637 66100\n34620 69169\n17968 19632\n50305 51222\n1681 28619\n53178 62057\n60272 80066\n33570 51593\n26676 46938\n62488 78818\n72866 77354\n41795 86523\n23124 68215\n9996 55932\n60904 78804\n74348 82878\n31689 33057\n4567 69268\n27252 95129\n14888 71179\n80851 93224\n56216 65480\n16643 30643\n44709 62184\n34327 81475\n52457 95300\n47931 67932\n26417 62377\n46954 85815\n19173 59300\n52261 98308\n7995 71457\n35179 68084\n54829 62111\n26637 31201\n7254 59658\n20204 36993\n54362 74266\n15656 65219\n73702 88300\n49087 71704\n65256 98576\n24448 89409\n6382 51253\n34852 76521\n22852 62653\n56634 89573\n39325 94141\n22280 72507\n9548 94011\n49872 50135\n23347 38116\n58874 94966\n60393 82650\n53361 89356\n69080 69331\n59983 62555\n33400 49513\n18738 85539\n47260 89017\n44233 54837\n59599 87334\n72846 90902\n14307 65733\n29932 56830\n35851 57429\n18650 59847\n23498 91066\n35536 63893\n61674 73778\n55113 58953\n9663 41205\n8071 69157\n69909 86489\n70097 99534\n57219 77063\n37571 47318\n46256 92519\n77403 84971\n14448 60191\n5639 73221\n82189 87979\n50077 68917\n11499 44426\n42028 69880\n23679 73744\n23254 97790\n66346 70737\n14324 24236\n23193 53510\n8735 8951\n61629 71705\n2243 66352\n8482 66322\n41344 55090\n28469 73918\n38201 58964\n15430 39623\n30305 67601\n33078 92955\n9681 29936\n11284 16237\n76958 88549\n39871 73342\n89788 95280\n7722 95180\n31291 47120\n80796 93311\n9869 73407\n36388 85497\n17872 21021\n35993 47563\n11821 15095\n67536 94505\n52600 62655\n58739 58936\n1484 41068\n12033 31488\n4603 90589\n80748 89711\n25969 39627\n14410 41819\n51919 64497\n41475 57965\n28696 49304\n804 90582\n18886 22363\n11453 26667\n11629 81631\n39204 45516\n18037 78353\n55250 78796\n55606 60356\n23178 32834\n1135 96578\n38878 74684\n11368 27352\n42675 99963\n16430 40523\n1480 80684\n66645 92911\n386 87360\n23273 25255\n72567 79825\n40510 47312\n22809 85711\n13237 78131\n8626 14722\n22987 26035\n9736 60706\n65172 85819\n20049 66524\n1424 72855\n44988 93112\n44303 55002\n50649 94814\n33043 54822\n53460 77951\n19157 72396\n56305 81616\n77239 94958\n25554 95860\n4577 5512\n23672 85851\n52242 62536\n49403 74529\n26022 77779\n79104 84613\n29216 72523\n7627 85969\n38810 51238\n9408 76179\n30212 47146\n38343 97499\n12883 19557\n20643 69307\n86307 87415\n55734 94539\n70871 78496\n26354 71526\n36374 77864\n48877 61292\n45540 79190\n3986 32515\n601 75196\n725 13692\n19843 74338\n73324 83455\n63292 65508\n27300 35946\n62857 92871\n13573 38773\n63055 80379\n3066 61134\n22817 67444\n27683 58811\n44598 89159\n2297 80277\n10954 59119\n18376 40088\n19607 96156\n43671 72371\n71476 98956\n68757 80443\n12349 47510\n40805 88409\n17092 62738\n13448 34792\n707 96306\n23715 49389\n24540 62804\n6731 44829\n63093 91074\n14372 78899\n75336 85184\n57775 59489\n26653 83226\n18742 62978\n20130 81684\n16229 16870\n33133 64574\n347 31696\n34850 69604\n30091 51463\n30064 75572\n300 39528\n19212 65103\n37187 88104\n7565 67889\n30430 94000\n13273 44760\n8652 26102\n53972 60443\n5782 8936\n48917 64438\n1669 21321\n81840 90930\n15229 50682\n12771 16196\n10196 54591\n33053 74360\n2529 17258\n9976 32431\n42029 94639\n53179 64693\n50562 66098\n12595 63049\n74152 99690\n39113 67472\n35689 39367\n63687 94934\n1653 76736\n6233 86382\n28456 70729\n28901 91959\n70943 87463\n35418 36760\n13035 98187\n36848 50682\n39732 57461\n45185 91405\n13133 94116\n9385 10469\n31910 52297\n9145 43292\n2067 99693\n33143 88501\n26239 41506\n942 79995\n28551 71314\n6039 59902\n30936 91609\n71160 94854\n50627 67817\n3034 44044\n4414 43214\n90982 98511\n18237 49340\n21657 99590\n34903 95059\n22105 87128\n58449 59040\n28102 66635\n17830 46614\n38989 80601\n28209 96709\n615 17341\n57284 60083\n74347 93494\n41823 70557\n33882 61546\n2400 9389\n62529 86102\n22120 24027\n17734 48190\n74979 98808\n23637 72655\n69115 98759\n34972 73465\n25067 40758\n3 63427\n54593 95833\n60603 60997\n75362 85904\n39495 91790\n19687 81368\n25787 35297\n69811 90939\n29894 78430\n63691 98083\n24738 97639\n49010 50653\n6422 59684\n36240 43298\n11094 24039\n63815 68840\n78621 98312\n25030 85950\n19490 90285\n87235 93472\n18170 24701\n63312 65973\n44221 48263\n65593 94497\n9655 39208\n35043 38498\n16656 85309\n43830 70844\n9279 11997\n32850 35053\n31545 79300\n63854 74481\n25299 40688\n64879 86184\n30497 71899\n68423 86122\n41751 70438\n77560 84317\n87608 89977\n79826 90220\n23254 27446\n2786 44634\n54758 78705\n49694 95760\n14084 30094\n28542 75396\n17085 54997\n26135 36347\n19025 89950\n10839 58583\n26671 30129\n65926 80209\n63424 97467\n2492 88668\n86373 88425\n49302 79902\n220 13527\n34967 58941\n16158 18871\n82165 96292\n504 90155\n36412 55132\n55246 97416\n18646 43106\n44827 72812\n82606 89323\n41679 59813\n37816 37919\n23809 72201\n8360 81060\n913 12163\n30951 81110\n39670 97665\n42544 51065\n64779 95816\n69365 81007\n5212 31018\n3686 69846\n82480 86799\n63818 68142\n17524 62984\n84216 84789\n29175 36295\n22058 94252\n3369 32240\n57529 76570\n20930 53574\n42466 65644\n40838 85210\n53813 71860\n36698 43062\n29253 79702\n45110 68394\n22462 27276\n43154 64876\n88724 89821\n36721 47525\n55737 69152\n23577 61915\n6552 49848\n3578 15882\n19922 70500\n62084 79572\n42354 50432\n27554 81657\n22703 66897\n8396 12793\n70496 70950\n57829 62841\n1324 2270\n29243 38660\n13198 94176\n59367 66073\n37084 52774\n34380 54447\n53275 56603\n1029 4235\n17823 28679\n26570 95977\n690 57376\n19959 28577\n11719 80219\n83931 88875\n3733 65246\n16692 88855\n52932 72930\n40795 72852\n15036 72446\n27863 40012\n25908 80665\n2384 70182\n63674 92026\n33552 50168\n5962 84810\n81236 88037\n14448 88391\n47148 87410\n35781 96276\n43810 78097\n22285 89643\n65186 97096\n72524 94902\n72168 75135\n7494 14179\n56019 69106\n36243 81185\n40264 91051\n90165 92441\n3165 4238\n37174 86802\n87556 92553\n16302 33640\n26824 79161\n48738 64020\n957 3904\n88441 96146\n19257 83892\n43069 98697\n27745 57015\n22356 47645\n14961 85434\n10811 59591\n58926 97878\n6215 80115\n8855 19172\n8042 78232\n3339 56396\n54748 70453\n10613 85261\n64066 69574\n7913 35838\n2074 55856\n26973 36353\n90210 91688\n30299 54522\n28453 33533\n38875 93397\n49470 76907\n30875 54681\n10309 97241\n4680 82704\n54950 97977\n22407 75755\n34325 72042\n2802 84346\n62121 70315\n29667 34196\n37554 88954\n55020 68941\n31275 75434\n14639 38417\n28858 83706\n42390 53798\n36233 51613\n26222 95765\n4799 51019\n57605 88515\n29177 84552\n11452 53945\n35936 80896\n63800 78417\n42526 97625\n13646 78390\n25149 95741\n7553 95037\n5222 48450\n1035 87931\n25313 80783\n2002 90772\n29563 90808\n16003 38518\n23485 25786\n14402 21429\n5635 89434\n66681 98987\n35830 50378\n41123 63402\n36900 53271\n36601 96043\n18408 24633\n14447 85767\n52493 71545\n60867 88377\n57497 76921\n14726 89557\n26537 69913\n45808 65685\n24112 88832\n14450 64077\n86008 96070\n10330 21607\n35563 54984\n26016 27292\n12798 25752\n32645 94053\n27170 60636\n2535 64880\n27923 95292\n5695 86818\n465 60138\n70356 73339\n39957 73251\n58176 64066\n39337 67213\n34228 98965\n31938 85411\n5316 85290\n73440 73633\n10201 84581\n20995 97893\n3698 8798\n2021 58705\n48197 65902\n16983 17603\n50108 92724\n4324 20568\n21401 31738\n27412 89318\n77613 99668\n45 55192\n80589 98071\n72309 77761\n39634 96928\n38858 50362\n55330 98215\n38987 80256\n3319 56267\n40433 78281\n4519 14331\n61463 68624\n7073 45167\n74904 77269\n28674 29388\n7911 37660\n17787 26539\n53546 76015\n43028 93505\n16895 41031\n56385 67055\n14006 99772\n66870 85456\n30455 42446\n3871 90170\n33845 65081\n29521 34137\n56118 99936\n70861 95306\n555 5523\n293 95767\n2076 54274\n1523 71842\n3019 13249\n7474 81317\n13326 42066\n2899 68377\n1272 92725\n6702 80082\n50795 61771\n7837 44243\n29982 65696\n51684 74626\n2019 26987\n17780 65101\n60835 70155\n21032 38138\n51 41316\n22157 24766\n45574 55623\n10199 46364\n58023 97507\n23893 96245\n9083 36568\n24335 41728\n74343 92331\n21257 67586\n4441 48253\n77385 96692\n83891 86762\n72412 78115\n57718 75428\n53648 89123\n8508 47305\n38847 59080\n11919 42591\n40304 49549\n40494 79856\n10086 30111\n14864 79328\n36215 51836\n21643 24736\n22126 22378\n35041 72158\n63291 91993\n26217 52315\n71276 89512\n33382 98077\n60214 87296\n53504 72475\n74219 74934\n62483 90094\n46031 86145\n970 30507\n355 32239\n34450 81339\n40520 55581\n50458 91481\n7909 88697\n65734 73311\n19128 54781\n29367 63334\n72405 86752\n14829 28690\n5659 36116\n23041 68833\n16968 96454\n26906 42878\n19803 71427\n46903 50483\n35136 75942\n62322 89232\n56570 70649\n31866 69058\n36359 96100\n63225 72172\n1347 25165\n19202 73136\n30941 91300\n697 62739\n29348 32593\n36829 63139\n56731 61489\n52181 57634\n6920 51377\n49160 79173\n19661 61935\n7014 80383\n5206 55789\n2103 62478\n55591 99690\n43900 74184\n57491 95477\n8857 83114\n18986 95216\n34380 90364\n38955 51295\n34702 65436\n583 10962\n8558 73040\n44313 59793\n5582 39084\n8738 86862\n8614 46902\n60567 64625\n10949 52052\n36878 74990\n6290 11388\n36615 54906\n66259 93197\n84400 87217\n10740 95388\n3097 96116\n54199 59940\n9564 71302\n44354 45959\n63190 84118\n32342 40799\n23949 54939\n2781 96879\n90322 95850\n69394 74400\n62181 63966\n73170 97681\n39475 53817\n6364 64488\n12208 93449\n31522 60490\n15178 77293\n78524 84494\n15643 41942\n31560 84392\n59006 67890\n1556 97820\n33957 62754\n37219 64704\n51804 74754\n9511 41688\n11958 70339\n11826 13328\n29512 78779\n26661 40283\n76889 90529\n12282 19535\n78817 94879\n73071 95392\n76872 90938\n48089 79907\n12232 72428\n67035 93107\n52900 87309\n92348 96785\n43229 46532\n8060 39871\n7002 29448\n29317 34889\n30902 49691\n4766 56784\n4209 79335\n44963 70015\n15913 24304\n63147 96433\n261 98227\n19069 53864\n9940 69177\n30558 63470\n5615 17636\n505 16368\n61229 61869\n27043 86326\n10572 93828\n3959 32096\n26465 82872\n43174 74899\n19534 67394\n69957 77364\n80098 82240\n29480 73306\n78671 90785\n44051 95509\n41647 81034\n34627 64655\n45971 88606\n59323 82662\n15610 38981\n47997 75173\n9671 49568\n37587 91142\n25037 89259\n43599 79416\n30810 99470\n38110 46838\n62754 84187\n15818 64327\n19968 61845\n32830 69639\n13702 38494\n17434 61935\n14577 87457\n47247 52294\n21633 71910\n52608 75718\n11822 76695\n4852 76918\n28143 56147\n46033 61354\n51518 61149\n13757 75467\n15008 38576\n59622 83208\n5323 25325\n20805 75098\n3369 13610\n76129 94858\n23996 54197\n36419 55239\n45226 56863\n34909 64793\n24069 25045\n22976 43849\n80734 89325\n39445 60490\n23534 80402\n33110 45612\n50473 98566\n57140 65609\n19643 37919\n23062 39407\n10356 65088\n21500 22751\n38389 45830\n24266 99238\n33078 68561\n35340 46431\n53206 55054\n13424 59012\n36427 60112\n4100 63825\n194 1821\n61414 65110\n5506 19032\n28055 85695\n5638 90180\n46359 78036\n22928 42952\n11132 36186\n11 45183\n6498 79123\n41424 62522\n36088 72706\n18950 58546\n12424 56070\n9862 34484\n4924 43642\n22796 86530\n22057 29691\n22999 49586\n40493 59873\n6804 61546\n30302 45332\n41755 46602\n31 31451\n14754 98816\n5932 45345\n54563 64973\n41478 98634\n26903 94219\n56643 79813\n26236 43213\n45527 61402\n57114 61395\n8685 66282\n11952 91269\n55340 83952\n26338 48967\n31430 55446\n8149 67057\n34810 76573\n2875 87462\n14912 75291\n7349 68004\n5164 7504\n27110 71922\n67632 73020\n19058 64351\n1014 24099\n63832 79838\n49621 96794\n63057 71207\n20358 76208\n8133 11841\n12474 91414\n82235 82385\n62117 79600\n54465 76533\n35644 40869\n44518 65057\n22953 61442\n51111 69486\n5499 30556\n57290 91442\n16797 29352\n4136 94548\n14420 19666\n32684 82235\n3152 74853\n68966 77985\n9333 53846\n36798 52560\n1534 78786\n49123 94892\n90695 96385\n65290 72922\n40406 46215\n78686 79230\n75923 83260\n13417 40587\n25128 88388\n49152 64117\n53405 97780\n31687 82727\n23000 74150\n79199 94011\n24199 86631\n49458 88498\n32188 87981\n57817 91483\n55911 69533\n52308 92429\n17067 96037\n31391 69871\n21922 53545\n27805 50926\n25826 37948\n20299 97264\n10795 52640\n7432 76855\n23650 91620\n9057 51508\n54737 86256\n7766 96174\n20957 34563\n10678 46758\n31649 85235\n31082 74080\n20738 39907\n42414 50741\n34041 35669\n26304 37528\n19796 96369\n60136 74542\n43474 48698\n56489 77597\n64358 96721\n13590 17014\n18056 47738\n76053 78321\n32036 58001\n20575 36002\n90550 93731\n20747 61916\n5742 47999\n2118 45491\n9459 87569\n7356 65641\n12196 42860\n28581 38221\n33622 49670\n79174 82311\n25324 44552\n5591 39231\n47162 47519\n22353 93566\n45598 84155\n44810 74455\n65381 91332\n18754 59061\n1111 27359\n8438 48632\n52867 83601\n19613 38897\n86407 88608\n1313 63837\n6897 96232\n28502 92987\n70897 85642\n15054 73294\n62579 99555\n6401 54914\n29668 85176\n37285 63326\n19722 97600\n37170 81001\n45010 48322\n81170 97903\n13066 70932\n50078 56345\n17565 23018\n48479 97515\n30082 47629\n40321 85814\n57154 81620\n8463 75146\n7854 40339\n56637 88751\n6171 24797\n35883 64827\n77561 99528\n5735 20255\n11522 96797\n28386 71870\n18755 37274\n24065 75735\n41995 92363\n2085 56126\n16055 30471\n73128 78186\n3354 40237\n14815 83218\n46086 51267\n20949 34036\n67566 84523\n48640 55320\n24887 59677\n54030 94893\n18707 64440\n20039 32297\n58260 70121\n43684 90689\n21993 86676\n68319 89952\n30512 71920\n17408 30342\n26612 52073\n37228 57211\n1900 24895\n16542 72800\n1640 5352\n44226 77075\n35024 96910\n50252 60267\n42787 48682\n61897 65719\n51525 56945\n27206 79879\n70855 84396\n14113 15321\n5190 16552\n52180 73720\n77240 86127\n63662 73842\n55297 97148\n3361 82619\n5467 94409\n7874 83035\n8785 49152\n20351 57879\n5802 10949\n27599 52832\n60358 83534\n261 76715\n49305 58635\n53421 94383\n23737 67248\n56276 79177\n64109 87613\n12609 28936\n20214 54343\n19097 73597\n9015 19319\n32590 65060\n15419 15667\n20964 40952\n74536 75386\n90486 94382\n65706 87837\n61284 84782\n8961 99011\n33651 76462\n16078 76356\n23211 81973\n13852 47926\n12959 57466\n9399 52751\n22603 43995\n9799 91756\n48720 72736\n35634 96605\n7992 91384\n10264 56465\n648 7814\n68394 90488\n49305 64870\n39624 43042\n17519 70525\n38296 90593\n50299 58768\n33276 98401\n10361 98350\n16717 64725\n377 11253\n26590 69466\n3250 67587\n5686 24068\n14447 23116\n2661 74557\n55245 85114\n63406 71584\n17866 93699\n17862 38093\n44627 78821\n2454 97796\n65904 96999\n4547 79375\n8824 33805\n16692 95314\n2147 76382\n28759 72246\n67925 83227\n20625 25504\n17218 53098\n15789 22138\n23544 80772\n88082 89178\n29087 52292\n26235 93954\n49406 71042\n73087 82162\n13107 66881\n26378 37629\n47926 87273\n7670 59181\n89718 91824\n26473 95441\n41827 87075\n28923 77693\n1093 90773\n39114 90050\n23901 30163\n21471 94608\n9799 39748\n85002 99550\n35517 69796\n55927 82555\n11417 96733\n19295 61026\n54302 69523\n9816 46643\n51392 67699\n52252 75860\n9565 63249\n35748 35820\n45624 56472\n1393 34381\n36159 45150\n68553 85878\n75944 85650\n6327 12400\n4104 64121\n13061 71110\n56735 61100\n35277 74737\n48301 59077\n78069 86395\n28303 33081\n17023 77205\n6346 86641\n4051 8241\n21552 38046\n20281 61585\n32448 37274\n15204 52122\n18656 66696\n80558 84383\n57911 95009\n38043 89068\n51753 55016\n32159 98317\n69943 75648\n5986 65216\n54614 98621\n39481 96898\n82056 86164\n66964 68446\n17758 72305\n17784 86310\n60412 64459\n66824 83105\n36479 72209\n61438 86571\n15031 63959\n37261 69300\n25081 45481\n7230 81198\n94059 94366\n39523 41000\n48270 51942\n31213 31314\n35833 46833\n20500 34015\n10001 50780\n65509 83224\n18275 71796\n66072 69851\n36558 80416\n17557 89399\n10701 25166\n22928 92383\n36852 61283\n71055 85234\n7774 64881\n16538 85884\n39594 88929\n10448 96530\n22539 30352\n9041 14433\n34926 36891\n13424 89119\n9990 34354\n19666 87336\n68930 89989\n67188 86441\n88863 90397\n36555 47409\n2546 64181\n32375 87440\n13790 22324\n21092 84768\n67999 97428\n46017 71385\n90334 92902\n60832 94155\n49938 53346\n9648 25681\n21613 40161\n32557 50018\n21070 29329\n28481 46053\n37149 76835\n2620 73852\n45561 48253\n27647 42099\n12706 17262\n61486 65680\n43120 57336\n80141 94968\n15322 49524\n11641 28975\n27102 97387\n31608 59420\n44699 66352\n79451 85817\n15631 48880\n41966 52552\n46765 68669\n2681 90117\n1560 42179\n54100 63706\n8392 37169\n9977 58277\n6478 99540\n16545 62369\n12630 24099\n31021 62391\n28671 46534\n72225 85439\n57896 62082\n29323 62194\n10068 25957\n1991 97586\n73131 86882\n20051 91666\n7123 31263\n68352 74159\n44292 82297\n26495 26839\n81750 96622\n30946 58143\n5475 40250\n9374 19040\n18587 47235\n45753 96979\n14374 85616\n78632 92306\n60996 95675\n13231 55694\n8156 69443\n45973 53500\n58873 99953\n28079 35837\n28196 63957\n1552 66982\n2134 10792\n40909 92594\n148 14967\n318 56189\n2460 90377\n88432 97927\n37873 40329\n19294 60382\n27028 58287\n47621 78189\n33209 64974\n18799 76028\n81646 90223\n6264 92243\n24463 40987\n45596 64068\n808 3913\n73029 85897\n9357 67609\n6483 76228\n29507 86157\n9862 44074\n41343 82648\n7011 31687\n28243 53122\n2823 65858\n5667 16948\n52132 58986\n39276 88737\n11186 55158\n11468 79606\n919 58398\n42605 56790\n16561 48053\n39128 62468\n34202 88163\n58177 63891\n20948 22352\n7533 30593\n44449 84145\n25597 52933\n83864 86470\n75975 80841\n19383 69311\n39883 56111\n18038 71972\n34454 82808\n12231 74682\n27511 44692\n33526 88902\n50962 61736\n12209 96164\n20277 72842\n48662 59270\n26093 51237\n32757 33405\n14118 82365\n6242 42997\n18874 95530\n58190 92824\n50421 77276\n89519 98149\n21625 69346\n34298 66936\n29741 69139\n89772 92311\n28784 99907\n16007 39944\n41607 91568\n75816 84125\n494 81154\n9863 48265\n37152 96946\n70045 82241\n36104 57424\n11116 20208\n29879 74636\n54842 71741\n20608 84397\n49058 77694\n11266 16134\n9883 83022\n16892 85611\n49451 94873\n78026 78160\n13153 36532\n18513 48420\n3458 36220\n50162 51537\n35352 77911\n6505 41318\n2740 46675\n16313 33660\n22329 47446\n32975 54215\n40778 90366\n32923 75739\n59348 94331\n42450 54397\n25980 99577\n2279 86821\n24943 42033\n68041 95823\n29947 74281\n28067 50372\n36588 38904\n33935 79249\n11933 45773\n34333 42834\n969 44354\n54292 99185\n48700 81425\n33360 56471\n25888 58038\n12688 85192\n9077 12608\n10366 54898\n2886 77494\n81347 83162\n24144 92336\n47772 74957\n25408 58895\n21387 25851\n33071 72557\n19737 50468\n78601 95909\n26872 40294\n71753 80517\n13235 73623\n65062 72281\n54898 75898\n14530 62035\n23548 96590\n48054 94132\n47801 99131\n29051 70944\n64789 74640\n3100 33471\n1843 89211\n18367 64899\n7508 17684\n23980 59298\n49408 59939\n59159 85453\n20 92834\n67803 86679\n57764 87147\n36829 50070\n49507 97027\n11269 39700\n6245 28781\n60013 80308\n8685 80535\n40380 94761\n10202 46706\n6609 77003\n11267 53178\n8171 51808\n54673 98569\n67392 73701\n30907 57359\n60967 67441\n10767 83130\n24489 52296\n1766 12984\n1775 86519\n17435 92124\n6140 28291\n35662 56191\n13103 74231\n3050 18774\n11958 75651\n22107 90746\n6667 78154\n46498 74202\n91 33702\n32208 83884\n62839 72181\n46043 65428\n45841 76558\n14488 24677\n9399 13104\n261 14982\n89276 98086\n13738 99409\n11130 66690\n26205 33218\n28315 28684\n5731 71316\n64226 98481\n13231 80263\n66054 75710\n9280 84797\n22674 35643\n83204 93349\n5766 31725\n8884 71448\n27117 44965\n69588 70715\n43555 48403\n24777 88328\n9645 88386\n49740 87795\n7986 28127\n93952 94558\n20912 34560\n33325 35735\n21967 36613\n16360 58320\n31479 85228\n66058 83208\n34734 55619\n5288 13853\n2579 84697\n38711 47140\n4684 81120\n15326 81198\n45904 48833\n8177 64938\n43258 76079\n22791 68952\n64061 69979\n409 45455\n27687 31565\n77625 93918\n14019 93564\n1953 74786\n33980 84254\n81957 91986\n54791 63859\n26494 54868\n24333 93825\n39419 39452\n28111 53880\n42505 96678\n18269 53145\n4993 38682\n13286 93255\n14927 71772\n47242 83133\n19341 63573\n32321 64400\n16893 32522\n4541 74961\n4157 19576\n11830 35790\n54075 96464\n32657 46606\n30026 99356\n29237 58823\n12425 38965\n15298 83453\n62346 93409\n6756 55265\n33402 36021\n29677 45823\n10568 70027\n4515 58841\n16397 30799\n30537 71992\n67110 82237\n57432 70656\n14715 23683\n60332 75841\n65243 88812\n9507 57011\n7115 94797\n36250 77389\n6375 71737\n61253 72488\n17192 22759\n13053 59254\n32039 80911\n32493 88822\n34096 83217\n44734 44980\n40113 80605\n10539 29965\n15676 97403\n13747 21777\n36128 87609\n15332 66848\n22370 83651\n40678 79870\n29120 51506\n45614 80076\n49853 76288\n8462 83321\n5892 74532\n48603 82181\n21172 61162\n52368 67960\n9489 43395\n8687 15404\n35057 52930\n73933 99806\n22344 79791\n84029 94177\n35612 92713\n15873 34184\n2568 33282\n55754 81511\n27178 29177\n7585 33399\n30930 82680\n71713 85712\n766 46566\n6382 71744\n1175 86382\n4535 68357\n15711 28817\n2824 45387\n42563 78874\n25403 42045\n44829 53205\n19278 69508\n18667 49998\n47831 82692\n29071 54914\n19865 31804\n84662 99914\n65544 86433\n55225 75128\n25916 61316\n41840 48291\n59149 75998\n915 82875\n31579 43673\n24615 79600\n33094 48209\n44634 55366\n60471 80163\n40500 59601\n19274 56581\n43128 68656\n17510 56922\n30444 61140\n68178 77586\n11244 36228\n34204 99890\n18177 59896\n17285 37353\n31522 74701\n24805 70300\n35621 44605\n27264 29784\n26208 97293\n34370 45483\n49825 86941\n59918 76392\n51715 81449\n38714 87678\n25181 41073\n403 65434\n10024 57129\n41631 87689\n37995 65082\n27960 64911\n15752 94401\n46428 59020\n25450 31997\n29886 37143\n64985 81969\n17347 24708\n8295 53608\n33371 74284\n8542 98136\n35385 38380\n21779 32566\n26505 61573\n22218 37078\n69972 84339\n49299 66143\n39052 76622\n49385 92877\n50032 51916\n33479 63494\n1842 47089\n54303 63960\n7612 16502\n6403 82354\n6864 98007\n66374 82989\n19245 82860\n69398 70483\n57492 61989\n16113 89301\n26295 55818\n41707 92888\n26655 70425\n4676 78638\n14147 97750\n83854 97442\n27314 96486\n100 76481\n8433 84498\n17173 39591\n27808 51357\n45859 57140\n67121 88674\n48557 88701\n251 31965\n23552 45710\n23269 54205\n11175 89277\n88396 98322\n44033 45234\n50236 87110\n10414 34184\n9811 45659\n74248 83098\n40606 70485\n52076 72922\n76498 86843\n16335 55551\n4615 70152\n45159 48657\n53117 58353\n5490 56704\n22161 65234\n16236 18403\n37892 52260\n4446 10286\n1043 82823\n8330 43486\n81266 97294\n34225 87167\n20177 61871\n16680 63185\n37415 60990\n24983 77781\n10923 17146\n74485 82079\n40620 71741\n14350 32444\n35693 47633\n23480 43435\n49016 49931\n47124 97392\n55431 82353\n30649 46584\n81936 91317\n11438 20693\n59171 91863\n30852 33712\n25910 56207\n62826 89107\n63864 81114\n12079 52005\n44154 84555\n70694 97010\n48012 49570\n26383 34488\n69608 84839\n33236 72015\n20589 96292\n22763 64055\n27636 37919\n13334 89128\n22703 41149\n85198 91877\n40635 98430\n73320 88876\n43376 67037\n17782 41424\n22476 84966\n28709 42709\n37631 80240\n46267 71442\n47089 70639\n49008 87222\n58940 75822\n46332 52079\n47755 79041\n23345 55145\n3119 90524\n6756 48102\n18950 27779\n34079 82194\n7005 68146\n31085 72263\n56540 77754\n41800 82308\n31037 44098\n18481 79580\n11383 47622\n59889 62789\n34913 96145\n33965 42381\n16876 92543\n37715 95663\n42028 91908\n29982 78168\n17529 31674\n4895 96138\n16079 60188\n28073 76815\n8532 82502\n18697 65063\n3697 85865\n61513 91094\n48148 62936\n48878 66011\n37560 73817\n36625 98412\n29379 52269\n2917 51272\n8118 34985\n38992 91913\n13622 52744\n5316 41637\n3673 3680\n27348 64316\n32077 92301\n23942 70827\n35835 38949\n34592 62360\n91712 97099\n2321 98324\n30819 48829\n42099 86180\n11188 56403\n41245 66700\n54706 87925\n5510 58735\n27008 88947\n1619 43555\n58231 78533\n19112 98366\n3562 9236\n41135 46380\n20768 30301\n29924 77974\n17406 72371\n33856 81559\n70864 75576\n7022 93795\n14967 31822\n63852 91960\n47086 75690\n38856 55103\n26453 63684\n40848 92011\n73531 83853\n9417 13562\n74881 87058\n10846 64537\n29884 40326\n56370 86683\n33198 41175\n75080 75295\n25419 44334\n15976 87019\n6220 78103\n17122 75588\n12084 22573\n30468 33371\n10995 36185\n2745 44087\n19573 96031\n69499 80924\n3237 94856\n33202 70396\n340 82034\n15633 94102\n66857 80341\n37967 54288\n83589 97599\n35122 92550\n33783 57992\n89362 90545\n34171 69347\n4624 92865\n4355 18618\n70745 81934\n33005 99963\n20228 58773\n29229 46056\n25474 28478\n42633 66377\n28284 32123\n17926 62412\n6797 26368\n45010 70103\n43173 90458\n63698 66233\n2154 67842\n89729 99634\n74857 87999\n5887 67614\n35676 73076\n27800 70748\n6806 87014\n68245 94110\n4387 27176\n44010 87543\n47857 50382\n17764 66249\n46334 67759\n72389 73815\n59210 91433\n43815 75233\n24894 61960\n3528 71956\n7219 71145\n30565 91227\n3615 57392\n27096 33280\n27362 38997\n64918 83730\n19732 51931\n2697 58629\n35048 87641\n76683 91549\n18638 73185\n87005 88356\n70499 81759\n47312 56102\n9922 29712\n30027 61891\n52591 63297\n27861 59898\n4327 79850\n27206 89398\n19659 64714\n6345 94514\n71506 74201\n6009 77155\n12490 68501\n6957 89099\n60504 79005\n32851 35307\n97474 98405\n15225 72414\n35355 73645\n28567 96446\n27708 51616\n51467 92196\n2921 44913\n15990 17466\n89238 90151\n63472 68877\n75856 90020\n12275 98761\n38068 97117\n72990 78535\n16948 99106\n31797 84288\n15484 72608\n52102 58536\n17133 31145\n21331 89846\n12264 42602\n66624 96101\n17864 27474\n45508 88373\n21433 98486\n49319 84866\n29139 45525\n28058 60066\n31759 94309\n15713 39920\n61185 81328\n56997 69262\n54900 78249\n57498 78521\n29367 34512\n7943 10750\n7551 51182\n64433 87491\n88379 99410\n47498 94163\n16 57881\n53048 76189\n66049 85650\n68835 87035\n40438 79252\n9270 67584\n43701 76837\n11847 85828\n10866 26902\n23634 72021\n47814 71549\n18536 88714\n25324 32641\n4156 77837\n9576 40927\n64439 92760\n65522 86944\n4364 54546\n3611 95684\n31173 78317\n54341 57176\n42189 88672\n30429 60075\n1352 72494\n1979 20847\n11990 50626\n9858 87675\n30496 92736\n15772 68308\n6094 31740\n72094 93343\n17514 74814\n35856 88032\n45045 64478\n65106 73988\n7510 33519\n19987 58733\n7943 16328\n32824 61370\n15952 31856\n46348 98179\n62048 82172\n83254 92215\n28510 95565\n24211 87539\n21082 76825\n70018 78341\n65016 81598\n25506 39524\n16096 56780\n33903 37957\n18010 88187\n17651 68595\n85483 93280\n1837 77229\n4187 94592\n9416 16833\n61017 75625\n88593 96287\n16240 62796\n44882 71777\n10998 13911\n30504 37499\n8626 47101\n65686 91740\n40066 41504\n24198 40031\n228 33970\n72977 80892\n41087 69416\n5519 68040\n16621 46690\n17875 48410\n9249 63734\n71176 83759\n46882 95344\n72548 80343\n5730 13452\n13184 63720\n31719 75924\n10780 78599\n78819 88893\n3570 99047\n37912 54362\n34532 50511\n54869 98039\n41745 55156\n38356 57210\n51824 92373\n90231 96052\n7700 66184\n75486 95534\n51831 90817\n63780 98506\n94701 95118\n48307 51220\n25229 36423\n9089 45483\n8884 73956\n43206 43521\n50673 81606\n30394 55557\n35838 41154\n70377 93317\n63352 99937\n26529 57582\n1769 39113\n72852 81931\n63751 83584\n51254 77526\n38067 95033\n59273 96059\n5953 12694\n40941 51997\n40929 72180\n79112 98081\n51127 77291\n22590 50421\n14684 69858\n42532 92992\n46682 55625\n46950 97232\n16956 44929\n20904 36783\n26734 45066\n37378 37970\n28656 87471\n24179 69840\n21585 76976\n1645 65947\n39545 69554\n60950 94539\n18630 78765\n25005 86458\n35140 91399\n24368 85332\n22466 74903\n8034 71708\n16631 53867\n43012 69064\n18795 64454\n62544 98148\n45872 57524\n71077 85907\n50483 86735\n86061 91630\n40247 59931\n27658 48575\n20693 59821\n4354 55124\n15359 41503\n3308 6380\n12740 91028\n8870 88599\n59987 93941\n49045 83537\n18485 58300\n51350 98323\n18696 33200\n10060 70653\n21852 28513\n44624 51632\n32212 40392\n14247 20477\n8715 90977\n23975 95821\n6073 16197\n22572 23276\n29672 39585\n43511 61199\n43606 52947\n44861 83417\n46555 53633\n50716 75031\n14131 74032\n72170 98335\n20425 26399\n38117 93056\n43116 70922\n79980 98929\n53734 60634\n7490 49002\n81369 85044\n3684 18380\n2509 61742\n3168 82319\n38297 74604\n17724 25253\n36040 70191\n43794 88317\n1189 22610\n4064 59965\n23314 79918\n80497 84430\n11533 79735\n15637 88223\n40503 83957\n53855 91790\n619 49379\n16223 54508\n60526 77731\n3517 19622\n72362 85963\n33992 52986\n16682 93198\n36310 78926\n28995 49918\n6656 61701\n24175 34646\n53280 72276\n27121 37157\n1844 23252\n51123 94459\n30545 85790\n23402 76188\n8963 20836\n26924 42585\n12888 87552\n43938 87008\n47883 72689\n19532 66360\n23495 45654\n11025 92725\n20438 88463\n26697 57200\n61667 78833\n13939 57398\n8216 32668\n40562 88593\n58376 82557\n54389 63293\n5326 88458\n38950 78482\n9401 76599\n41041 72275\n6485 60061\n74562 92358\n20753 37300\n59119 81272\n59727 73737\n60375 84429\n8611 15876\n16843 54671\n18070 49661\n36898 40743\n18713 81800\n65776 93163\n15314 30280\n58246 63638\n45234 97694\n73324 98245\n8170 63312\n7527 75756\n9537 78988\n8339 24810\n62172 70456\n57539 65761\n6639 58126\n69217 72828\n71538 80886\n85413 95956\n15063 93507\n28881 37113\n18599 40513\n33781 94668\n2830 62793\n10352 34977\n63502 89811\n710 2593\n39463 92952\n85938 96896\n25002 52034\n34662 43635\n6558 43636\n15388 59181\n49593 53117\n55565 59458\n68279 77934\n34579 64462\n31528 34680\n46401 79755\n55449 97108\n45595 72619\n45862 98372\n40013 44458\n5450 33110\n70625 93710\n9016 56171\n49955 85232\n71177 97277\n3860 54276\n19438 23389\n2499 67717\n41991 61011\n49781 69598\n10098 85135\n26576 92476\n55041 96098\n48906 75247\n9734 36795\n21619 35079\n21851 77994\n20507 78056\n5601 38622\n45470 99663\n27006 34353\n60806 74858\n19763 77479\n3179 27738\n3512 41378\n4539 66804\n70507 76777\n78029 96003\n2148 58811\n7080 91265\n17004 60289\n8779 88104\n47737 96758\n29023 54770\n15579 59916\n42682 86222\n80898 80987\n36083 49661\n49246 88034\n41384 98556\n60798 80858\n72381 80251\n12599 32370\n55810 73104\n32358 80085\n15060 55342\n9698 11314\n67381 77338\n8419 10494\n5009 60110\n33780 69429\n20130 23721\n55150 97327\n92870 94506\n22275 63243\n23758 43794\n35125 63707\n3291 29315\n44638 89774\n20875 92273\n70692 98303\n22337 26176\n55386 96712\n5958 20282\n41096 57096\n32241 38421\n27450 95845\n4653 6956\n35489 49966\n90950 98701\n4201 74622\n72075 90002\n38637 71189\n9686 61116\n6915 66147\n39581 97906\n34914 77529\n5606 38620\n29009 47545\n54966 82406\n738 33677\n88135 89796\n28364 64495\n74933 76997\n37518 59148\n29962 88461\n32016 35785\n44153 57962\n5416 68085\n34185 49337\n79413 86100\n23001 29492\n5798 21406\n34583 54853\n9968 80277\n31703 32388\n43940 60593\n7606 87545\n12411 95271\n25956 98378\n45581 75573\n67605 99205\n40143 41122\n39159 63618\n75058 84717\n22294 58118\n44438 56693\n37560 85158\n70678 73990\n15672 88917\n47916 81715\n16517 28290\n23264 51696\n82472 94665\n42853 55811\n5595 38507\n44785 93475\n3135 45528\n21863 60101\n35646 71777\n68769 70555\n38240 67966\n57319 91032\n4236 52875\n29156 89349\n18356 19261\n18038 92808\n48479 51867\n71227 81634\n6767 8887\n53543 72700\n4598 76298\n1437 65143\n10601 81267\n92231 93274\n18448 20249\n66944 92450\n1527 27968\n23766 78776\n71823 79881\n64346 68391\n7806 26790\n30211 42934\n16516 25173\n14631 75048\n7401 35677\n33965 81526\n33259 89872\n43301 52288\n32022 41671\n55709 96040\n18087 83721\n14736 39043\n68477 90646\n9001 90346\n93933 98188\n38580 48753\n35905 74370\n22543 31258\n9235 93737\n96771 99415\n57211 65279\n37898 79523\n1986 80365\n77415 91528\n50397 68315\n4520 12610\n23342 55682\n16735 36315\n18582 68919\n22189 93565\n16298 48358\n23760 71686\n10407 95393\n35349 77693\n5251 55239\n26766 39039\n27785 95501\n66398 82527\n14950 92214\n70033 98908\n27355 93386\n63601 90093\n81871 85051\n10285 60012\n13879 89697\n23901 30940\n76203 92728\n32981 41380\n36358 99251\n2863 56950\n11917 67572\n57398 80807\n36661 74640\n58519 94183\n44818 59315\n48302 89117\n35556 86121\n54058 95539\n38428 90174\n8644 47819\n35616 39572\n42682 83409\n45755 71209\n36212 50616\n86135 95548\n4027 53565\n11342 22817\n55289 70955\n43578 47746\n46447 96378\n30177 90441\n8574 83516\n34065 63913\n13088 73526\n43954 68381\n19605 91632\n1345 66968\n24665 38927\n27562 40249\n43056 70259\n1167 50620\n82533 99199\n5494 13515\n70223 91131\n24657 75077\n57656 86022\n77099 94654\n14357 36496\n10986 76070\n47387 49222\n21353 52250\n39125 89273\n48497 72225\n7780 66745\n38984 94745\n742 22456\n31832 55342\n69076 91896\n93056 97900\n31258 70328\n7888 22033\n42937 65899\n32812 60945\n14450 55330\n9646 86490\n19754 30676\n3069 51786\n33973 74453\n32592 98731\n75217 82840\n61118 69042\n65221 81679\n474 76952\n27322 49341\n29767 87432\n19578 76265\n34270 73135\n58126 86760\n7776 40375\n67067 94294\n3842 29477\n62114 85758\n49976 97874\n30017 53912\n13977 20290\n66004 80077\n37888 63221\n65912 90100\n22681 81127\n85721 95560\n51702 82565\n33580 64931\n41332 88520\n66308 74956\n6501 59009\n15012 94961\n61957 85265\n20411 63562\n35526 80668\n13653 48292\n46207 69811\n44149 44364\n32557 57057\n7489 72517\n35128 84912\n14049 81609\n34558 37527\n7625 51202\n39165 57457\n20522 84574\n8668 79424\n42375 93905\n13668 35489\n45973 91192\n89104 89350\n48835 87416\n85694 89068\n48188 76288\n64701 86467\n26076 55696\n23356 43604\n43301 47847\n31038 97266\n30996 68878\n2228 87006\n72040 74768\n24566 96073\n19237 98850\n5937 70784\n75918 94821\n51236 53622\n8308 36548\n33472 96068\n36695 73270\n94553 99455\n1068 82098\n31300 51173\n728 71451\n24980 34579\n27597 86656\n17232 66412\n34497 51774\n19828 20816\n33727 46994\n79368 86999\n56410 87818\n62746 68311\n7430 93773\n50945 62138\n72305 86317\n2569 51731\n54826 66186\n3763 51969\n45197 72504\n10274 39882\n14030 30546\n2269 19162\n19557 88896\n29357 65309\n38481 41139\n75171 88849\n25860 99453\n84431 93341\n11653 52951\n36963 54369\n610 17052\n11436 78052\n3637 44741\n32226 70919\n42115 96923\n27888 61661\n42604 58760\n51598 89327\n39589 40499\n19480 31695\n991 87142\n62166 90613\n45507 64182\n15986 53770\n70013 70382\n31492 35612\n52579 94048\n31172 85736\n15098 51368\n44070 66594\n49555 64603\n17314 31482\n35918 95339\n16222 74790\n37917 46454\n4132 69862\n50840 83043\n31135 78755\n13890 30387\n212 19313\n3193 41700\n10505 21809\n73428 97326\n74271 92947\n36464 93365\n51034 58711\n3195 30780\n19638 92440\n37315 42309\n26303 74275\n35649 45354\n17412 79859\n39810 50008\n30935 87378\n54578 59809\n7952 60219\n1629 46886\n45873 69613\n39811 90975\n53191 90888\n9620 18839\n10542 64337\n95993 96211\n76782 90018\n53099 58910\n21285 44838\n69138 74177\n67544 95475\n24641 87395\n19108 22624\n67816 69225\n10191 85210\n17545 82201\n22228 34590\n7086 83665\n16085 54148\n48905 57029\n37203 60526\n1241 26375\n77891 91361\n28787 29372\n4395 16320\n5186 80970\n63220 98580\n65072 85198\n2522 11499\n62357 82519\n24054 66070\n15909 42040\n25017 41782\n678 78749\n18787 64582\n55368 78974\n45795 93159\n43063 92441\n21525 60248\n58992 93076\n43362 65770\n15678 30510\n22039 41702\n75769 93981\n7690 80420\n72214 79263\n12685 94016\n9896 77384\n30574 81648\n36263 58009\n34154 52816\n22568 43907\n54381 71540\n77518 89601\n3646 10246\n87240 93783\n44671 69747\n9140 39755\n44115 87545\n17595 57128\n15548 87700\n62794 80241\n20277 53219\n94754 96588\n63083 94143\n21760 81128\n13510 49169\n5548 91389\n20836 76874\n91758 93622\n20767 75032\n35279 35456\n63766 72705\n65232 77047\n36285 82085\n56723 92688\n16419 40368\n19134 53806\n56580 64156\n12900 32433\n28773 49552\n74546 77244\n24139 32728\n27036 58409\n29706 61695\n52150 61062\n42220 70280\n49115 71003\n6285 40934\n23452 48353\n20933 86859\n51698 98700\n39209 76611\n9533 96368\n66184 75900\n9065 18103\n54047 95673\n71898 72912\n23792 90171\n19814 46856\n35943 63063\n10755 16222\n66904 86216\n32224 51820\n33508 42077\n16169 89209\n95896 97152\n59700 88778\n73349 77057\n25214 43660\n1416 95627\n22513 87130\n18047 63234\n74807 83163\n1738 95466\n5782 76982\n29112 65714\n52240 95327\n26684 59110\n24194 77205\n1399 59183\n59453 85143\n69776 75979\n40045 50365\n47227 53716\n39047 41670\n73885 78022\n41054 81015\n8833 67359\n27159 83656\n7483 53784\n14496 87811\n4180 24939\n62089 97711\n5226 85871\n4369 93683\n37887 61222\n31002 64582\n92699 94411\n38177 53199\n28333 52765\n18981 97846\n28820 30628\n33080 52664\n38854 45133\n23947 90811\n51681 96927\n42637 69452\n74716 86330\n58377 70211\n49647 98872\n8680 93576\n73394 94752\n64059 96401\n37248 73059\n80995 97932\n50556 95928\n13650 87008\n74670 75197\n32013 42066\n36950 97668\n69916 88339\n54629 73884\n1377 28073\n51791 96394\n72883 84445\n83680 93432\n38331 50819\n24200 82762\n14084 23284\n1842 39828\n20366 73789\n31975 61179\n51082 97250\n17456 72747\n27846 36605\n33259 35839\n28956 37362\n74494 93416\n9392 59805\n34389 41327\n13142 20913\n45999 97849\n37960 71650\n31265 40352\n63734 79351\n33862 70781\n14270 28362\n18376 53586\n28412 69395\n16829 62798\n16064 32226\n16387 46847\n29293 87732\n27008 51320\n16606 93210\n17723 30655\n26878 60123\n66772 68975\n9545 10483\n29701 38316\n8435 44084\n27290 33196\n960 65739\n46763 68654\n4374 25328\n39245 95396\n73873 98433\n2341 72362\n30531 53469\n65703 87280\n75932 99884\n3714 15544\n24162 73443\n18150 90008\n64447 84009\n49188 66598\n77795 90224\n86196 91987\n11585 39943\n6377 90552\n22235 98805\n9972 22502\n18485 79628\n48713 96748\n76382 82356\n1487 66850\n54732 89310\n24577 39083\n83256 93787\n46825 98979\n34365 61457\n52770 94973\n2646 66563\n17063 83891\n33073 95906\n6451 43917\n9275 61559\n27745 57196\n3160 55002\n2608 84486\n50179 92621\n2876 85941\n71396 73728\n42800 93474\n89991 97592\n67106 71020\n43233 99724\n17451 22092\n72792 86704\n31829 78588\n17561 33658\n21136 37055\n41866 59222\n86624 97271\n11872 59760\n33764 98617\n75878 92604\n80503 88194\n50214 61061\n7852 41394\n38502 93449\n19960 83075\n43512 97799\n17102 67480\n28171 94043\n37348 66861\n19283 76079\n36088 76623\n47598 99593\n60058 71098\n10703 39451\n32570 93178\n18941 21880\n8657 44756\n28794 69638\n4363 91751\n26889 70784\n6950 8525\n15741 95892\n59258 75499\n51854 81837\n27896 99603\n57719 62266\n28915 69317\n20073 36429\n10007 62981\n28902 53323\n48372 60906\n70707 95545\n44035 65606\n69014 94147\n65908 71984\n7117 44467\n49794 62784\n14881 22844\n86859 88828\n6303 29474\n42821 93987\n9100 9144\n34659 58463\n29157 52819\n41370 58378\n16698 96241\n55024 61969\n1627 36631\n21191 90997\n14993 73019\n35716 60545\n42473 70300\n38120 43819\n6509 41282\n17837 60665\n60252 75894\n5730 58767\n79321 93427\n23649 54264\n7869 54142\n44757 68671\n6330 14965\n14775 71901\n26637 50483\n67733 84819\n2891 4047\n80640 82674\n66042 70680\n39558 50307\n2345 74768\n26442 27720\n15877 87961\n22637 36167\n34653 61791\n20185 96033\n26494 98000\n6664 58262\n83379 83865\n53578 64875\n42186 65200\n17068 67679\n8544 41181\n18954 79819\n43551 57323\n9603 68333\n15401 47905\n37117 76268\n2290 11572\n13523 18117\n34567 60298\n37919 86272\n2720 50066\n14928 17065\n9223 99717\n33001 95504\n94193 97081\n64707 70272\n6275 77853\n36868 98928\n4274 95247\n50983 83222\n5625 7438\n28816 44063\n30406 30631\n16369 68205\n42461 57249\n30032 78854\n47642 84871\n22687 98490\n49474 70024\n47751 64004\n94423 96886\n7915 14759\n20833 31906\n75342 86697\n1620 70226\n59926 84051\n16670 59859\n28222 70507\n71273 91497\n6744 97624\n88089 91956\n9055 76411\n30294 69009\n83500 96201\n14170 19178\n87417 98278\n67924 70475\n18562 69112\n47191 96632\n40585 44191\n68108 76389\n24277 86463\n30939 80736\n52866 84149\n5394 79080\n58786 96271\n11809 58653\n46432 70127\n23631 56032\n74090 92875\n10441 71115\n55368 63814\n7414 7729\n6690 33275\n2359 63898\n77862 90098\n23450 88059\n58780 74118\n40063 41147\n15334 87346\n52946 82813\n21885 60533\n9599 52445\n19237 29470\n62420 87708\n9890 97769\n50464 84984\n23935 99579\n49597 59583\n9208 34829\n37406 80945\n5095 18508\n11790 71387\n2510 14129\n729 61836\n44002 57573\n49252 78381\n5486 50025\n16442 55577\n7072 80322\n51013 57620\n34755 54527\n866 34274\n3164 50979\n80298 93596\n14849 88081\n44457 70542\n2527 11090\n81011 86875\n18074 32981\n6280 33054\n9858 58719\n91983 98215\n16698 62986\n65134 74849\n60104 75699\n3485 10930\n36258 95633\n30701 66956\n16595 97019\n11839 72075\n21680 64631\n10158 48261\n30000 75090\n10619 60881\n16333 17560\n13466 16402\n70214 91530\n17605 64281\n58197 60126\n11067 38846\n12092 20741\n8196 20743\n11835 77548\n53467 86024\n34168 70772\n27870 86295\n9371 62785\n23509 42434\n43887 51266\n20336 78602\n19031 97860\n1187 26226\n45842 53442\n65110 84377\n72858 93618\n57283 74398\n32489 56931\n75869 88150\n72259 77117\n55873 82373\n13893 42618\n14071 75882\n20732 73782\n13344 76119\n90008 96802\n88235 93093\n7392 54718\n54711 75990\n911 33810\n39174 77274\n6408 58255\n25917 44573\n5036 25560\n21619 73086\n71896 91916\n57315 90937\n49474 49611\n15749 54438\n331 33938\n7467 27136\n1710 24286\n39944 99446\n45065 47578\n1877 7586\n39616 55296\n59397 95772\n24127 88744\n66379 67164\n10227 69536\n3145 16824\n5513 21782\n28752 86298\n56101 78591\n27977 98733\n76613 97179\n46356 76158\n41075 44077\n52642 90973\n7702 49775\n3735 41759\n42249 63169\n10942 37468\n54924 66324\n73786 96864\n63178 91331\n28818 83028\n59842 91806\n437 83064\n4071 61829\n17173 19591\n62658 69653\n32638 55599\n39274 45660\n6686 79787\n74882 86670\n82163 88790\n68543 86218\n44575 80521\n26901 99543\n24251 76523\n15018 72560\n30052 95123\n10331 21203\n94254 98577\n65109 71159\n39320 82404\n3502 61640\n49998 89729\n51387 96947\n47017 75939\n41580 87920\n4759 21700\n334 18943\n43058 58126\n659 15893\n61972 68521\n35989 53551\n39426 56420\n16190 63138\n72173 77026\n52899 66424\n52016 70507\n24201 89571\n27491 84926\n66106 68839\n9272 65638\n4601 83858\n4551 69824\n22576 37718\n23910 26811\n5195 36352\n1167 26570\n82120 96237\n52311 84422\n8949 98136\n16322 81185\n50854 60501\n21984 91731\n51815 65074\n32758 73747\n56581 96912\n10280 15663\n4464 53369\n47539 82028\n9807 91076\n22442 28364\n56616 72523\n9530 42434\n16162 51296\n37080 46799\n19352 92313\n46464 60579\n37660 63445\n50371 80359\n64858 75985\n15322 79753\n21012 91037\n8097 40856\n14007 61295\n31498 99075\n11246 42082\n70935 77572\n3865 6216\n45698 52112\n41140 91439\n42240 69184\n86814 96541\n60296 60563\n19701 27791\n65496 76392\n38163 92619\n53163 86769\n1761 41943\n55847 77053\n62929 80697\n6214 80380\n25884 47588\n9961 50018\n48891 78558\n15563 47431\n66458 84887\n64920 89258\n26455 92439\n12718 79216\n24435 71203\n49655 72735\n39140 69359\n21746 96074\n76716 99818\n30054 36559\n15933 73645\n59808 85708\n15813 46843\n23050 66644\n63359 98520\n62579 78974\n34263 70685\n37283 64695\n16824 23644\n17018 62815\n26726 93686\n54993 71171\n42636 79538\n27839 97829\n42551 84628\n3495 83153\n11618 60894\n55104 70187\n24999 91492\n7394 44003\n99039 99465\n3313 98992\n57884 94580\n14966 71236\n39505 85628\n48907 71173\n42977 84976\n14747 95318\n20975 45571\n1298 32210\n68503 96175\n24153 76746\n34010 88915\n26702 61083\n6098 83260\n62492 67581\n34306 72999\n23684 84801\n67919 80402\n28163 60080\n57184 74251\n25657 83835\n13557 19406\n15536 20857\n48193 69380\n13633 70208\n43999 76125\n9256 87879\n70667 86852\n96297 98472\n12375 35091\n12375 48129\n11710 79575\n54380 62015\n26435 92161\n72514 91770\n15598 18985\n12917 59651\n32655 46621\n12406 51544\n74045 82882\n71316 92289\n46256 63161\n10482 32839\n92007 98826\n38442 94998\n25162 79757\n33541 56849\n75172 75187\n23075 32676\n1465 1816\n21777 30850\n79186 95575\n12062 14907\n54746 89274\n28095 91579\n4321 42863\n3092 55778\n46509 51197\n43079 49535\n29188 52676\n15015 85802\n70081 82259\n14850 52905\n44228 64400\n7382 34050\n73414 96631\n23574 93865\n12677 40703\n86649 89412\n40932 75157\n13338 39073\n38527 40387\n22185 99357\n78898 81160\n9762 16429\n15097 98429\n27095 58424\n19405 19423\n7251 66570\n14418 91290\n31214 94716\n38114 93781\n25178 56435\n69659 77070\n59205 63151\n11178 41607\n8400 98376\n92398 97235\n6532 38808\n10017 53452\n30121 82144\n64110 86130\n28997 68499\n33031 71322\n92567 95293\n82664 94517\n24694 86470\n3773 4187\n44640 73718\n19739 70680\n68329 82332\n24820 88684\n27303 99368\n46340 65578\n9439 76698\n82699 84862\n4440 21560\n11591 68251\n43787 97016\n68848 74560\n5505 79705\n38286 90959\n3423 42638\n5536 13091\n799 66098\n47818 74149\n71031 96162\n6986 89579\n35961 98948\n56276 67696\n21916 25934\n53988 60439\n2525 58851\n11648 83755\n21424 82224\n4112 15968\n80729 81234\n11777 76109\n15114 82946\n43325 62816\n21847 79336\n40737 70689\n56897 84232\n32508 63432\n43700 64708\n44953 98349\n40705 56449\n48584 92404\n27484 55901\n6265 24809\n40494 41681\n31044 53250\n65170 89116\n28541 46482\n719 51646\n540 20499\n43347 52492\n26215 52284\n84123 92540\n2977 71842\n41292 72050\n46682 52614\n55590 65832\n29574 48187\n9865 91678\n80137 91283\n28801 44930\n16073 96963\n55727 65699\n34012 45991\n3104 60159\n65136 98715\n45553 51997\n74864 79484\n15544 92407\n51205 55672\n14586 66126\n8284 61374\n4426 23234\n14272 35774\n22117 72229\n49345 58958\n3780 10622\n91284 91725\n36526 49953\n21891 64367\n15935 55504\n14269 57447\n19617 88032\n31078 73747\n6553 19463\n11175 78024\n59413 82752\n39981 94620\n16744 31861\n56900 65926\n71926 81903\n4150 38014\n15893 75350\n10116 23700\n58611 97012\n18875 20980\n57831 82296\n6300 43480\n62858 99429\n72099 97644\n84639 94054\n9297 42725\n19508 61890\n33545 68504\n2467 4139\n22701 25630\n76335 79523\n23657 27457\n69649 74652\n48148 64152\n46524 97604\n27841 63835\n81549 85316\n40829 73971\n24278 56162\n62105 79525\n6651 56555\n26777 48072\n7622 90202\n66183 70146\n47272 60661\n30964 81225\n55894 75283\n73668 78074\n75720 84058\n79303 97663\n14374 32724\n8584 32816\n28566 72329\n23781 45043\n14853 54657\n61549 81886\n52729 66342\n34526 45716\n87763 95386\n22017 94479\n9182 37217\n15280 19889\n78805 83361\n26535 30513\n33190 50936\n65505 87718\n38286 65614\n54883 93023\n291 84832\n38494 99010\n1719 18193\n8420 30404\n27468 80568\n12827 96372\n39598 68727\n32921 59908\n67 95627\n12565 67631\n69651 80988\n22660 43800\n12465 58053\n1236 8491\n26263 29963\n22677 73192\n54387 62313\n3555 82533\n7337 12204\n10491 69161\n38190 79143\n80522 82565\n92610 95856\n16941 44838\n45565 92185\n19798 38661\n46519 68802\n31761 34370\n13770 24255\n57431 57779\n1542 24627\n17066 64798\n70044 89581\n30037 90754\n37408 68154\n9502 85099\n21550 35299\n42929 90189\n34718 88481\n80196 92288\n17300 55974\n63864 66985\n75621 96272\n24204 57075\n33731 54158\n5537 22654\n1714 51358\n48007 61626\n34895 45217\n1354 52121\n73233 99713\n82612 83170\n44371 54320\n10576 44780\n22969 52456\n32682 56532\n35987 85214\n23705 49627\n7653 68482\n7246 31513\n10165 95144\n10626 27112\n1176 10226\n23949 47997\n49772 81071\n2507 69226\n44584 51335\n11354 97417\n55601 58289\n213 77319\n63144 82156\n9246 33152\n2206 35507\n62274 93502\n84124 93747\n12832 20102\n9332 26643\n18498 63483\n26970 28411\n19002 62376\n21980 81169\n45077 58507\n64316 96034\n10055 69834\n11264 67346\n30671 47611\n9386 95089\n27377 83559\n16476 18816\n24222 53071\n25455 29268\n36794 88964\n273 80756\n9209 76758\n76145 92829\n4333 33729\n68899 86621\n39808 52705\n11889 69584\n6923 24160\n55437 95889\n37969 41874\n55366 91023\n29044 71343\n17318 68655\n7850 56985\n4208 29791\n11125 95179\n36913 78960\n25533 33180\n13920 44324\n61025 79214\n691 69270\n36208 57329\n51773 84310\n1300 84897\n13874 67357\n53179 88035\n27548 91204\n25563 27819\n8012 39310\n17995 63519\n1462 6281\n3320 39960\n41359 59219\n7055 94012\n67703 70670\n21492 25748\n25291 29652\n77491 83211\n4127 14540\n7104 10326\n2074 57587\n57831 81555\n29717 62431\n20673 46862\n3582 6865\n54795 74821\n1916 89904\n14752 61062\n32540 75874\n7973 66394\n5604 14608\n48085 96917\n53235 83177\n8301 82011\n12616 94095\n17332 80369\n18441 25857\n22596 46580\n7180 51864\n28522 82385\n85298 87947\n2204 31392\n31476 90977\n47721 60371\n21492 80601\n37852 52115\n13642 63815\n6114 62638\n40268 64322\n27964 56014\n31942 74369\n34153 71560\n29274 47395\n15763 38084\n43589 92560\n21653 74272\n13127 51746\n13720 81927\n40602 40830\n2051 75528\n9365 22996\n92342 92467\n33149 35710\n67132 90311\n72503 81652\n11306 19046\n71252 86368\n28705 49200\n22010 64544\n16501 82301\n21097 72519\n12181 84673\n4639 60172\n24210 34800\n11378 97213\n497 65002\n15806 25712\n18461 42279\n32175 48440\n30641 34445\n46906 99443\n32354 50458\n26757 67092\n19070 97272\n59334 90145\n8381 84868\n45745 94681\n12223 20851\n69365 95314\n13481 81001\n17270 30061\n3104 11218\n31898 84383\n48520 69273\n46298 58567\n21705 81442\n41183 84990\n43361 86045\n32259 47909\n15819 82296\n39281 40006\n51040 71340\n50693 76468\n7127 84264\n31831 35963\n35081 46401\n37644 79737\n43876 89025\n48269 75889\n26054 99712\n54519 72352\n9039 24731\n62758 74228\n9575 64158\n20927 81115\n1552 88546\n52533 87648\n16282 88887\n48879 88724\n21101 29615\n26577 77759\n74366 84544\n15252 56368\n25607 45530\n83608 90033\n75803 87274\n50821 94389\n31105 90158\n14466 84259\n54570 98869\n38490 87189\n52581 63240\n44891 86667\n304 37665\n4436 16566\n22955 93260\n3443 69958\n48785 93522\n76969 79411\n22655 73920\n4944 92478\n8352 35130\n43363 99424\n4051 59947\n17067 29501\n56836 66019\n20260 54273\n48778 62928\n54170 94935\n2 76634\n53931 71186\n16683 68387\n32342 81936\n7250 70675\n87233 95921\n6947 26520\n29554 73170\n22836 62403\n1598 99721\n2598 7588\n2709 87958\n58896 95035\n44503 97204\n43307 81263\n18910 56675\n3981 67864\n15562 32504\n23694 88213\n4886 22840\n60112 80885\n28270 68180\n51172 85167\n11497 20476\n6569 7485\n25831 61181\n4727 65169\n24935 79663\n32659 82091\n2196 9244\n45701 57261\n2889 40064\n48810 56829\n65290 87526\n54860 63404\n83384 95611\n26157 55272\n62249 80280\n25631 45479\n33210 99411\n18228 44467\n59523 88416\n36795 50350\n35984 83502\n42454 78558\n467 26873\n10825 53586\n42693 91322\n1246 74209\n37632 61438\n34145 77519\n9926 72191\n33590 61132\n34257 83329\n16639 90748\n6855 97006\n55861 82004\n615 94608\n39904 94631\n27688 33488\n24821 92858\n15649 42211\n32841 61275\n37364 85269\n85484 85536\n18891 24324\n17991 72583\n2730 61552\n64945 70331\n1077 23444\n20519 76623\n27014 39478\n41070 79981\n62403 70916\n58984 63092\n49490 83093\n9994 42445\n53112 79989\n86745 87171\n18909 81584\n53951 75794\n29441 75987\n17218 48669\n79337 86861\n25427 92198\n41117 53326\n13436 35979\n34215 94068\n78936 83079\n33709 76344\n30841 98204\n53128 87984\n50185 89212\n10180 12133\n30020 73139\n20955 68047\n147 16797\n63162 88423\n2451 77643\n2351 68352\n67937 96274\n31262 38401\n4001 38287\n16702 28324\n9191 16895\n14448 95182\n6599 45522\n25144 84269\n17092 19840\n37245 40394\n18394 57555\n15430 41424\n4244 24475\n4467 24111\n16770 22419\n62686 93186\n1335 17531\n79733 96307\n86803 94072\n59855 81569\n30681 80451\n30594 39346\n45946 69033\n87849 95353\n1020 59581\n55091 96901\n1056 84822\n62849 67746\n32176 40666\n13403 28634\n2300 75060\n9631 10926\n28943 44435\n33805 94070\n37747 98586\n2107 88197\n23118 64470\n20374 27460\n46126 81844\n11772 23798\n13341 31811\n71304 88257\n38240 98946\n7457 29029\n36510 72300\n71775 80630\n17008 67476\n87523 93978\n9144 35977\n38596 53476\n13957 43605\n28331 87138\n72244 78547\n9253 32898\n12619 96676\n70624 86982\n59029 93287\n22920 74505\n46281 95213\n57048 70789\n16342 54880\n51369 86660\n77682 81707\n23031 54731\n30746 57151\n46949 65231\n21245 61001\n200 31264\n2319 62446\n30016 43955\n74808 86754\n54612 90585\n968 94565\n32033 64962\n51700 58772\n8701 40177\n774 89080\n89631 98979\n28179 86511\n3964 71245\n35744 75884\n6572 41577\n37436 84729\n44647 52408\n96611 96632\n36108 73831\n18086 88609\n1834 34908\n19750 93115\n59576 60339\n21969 70890\n6072 80154\n67075 75599\n13416 25536\n44438 92432\n28493 35777\n45139 70992\n57349 77412\n56557 66560\n10557 94310\n1790 7230\n16835 90456\n33170 80409\n16901 37459\n36607 48567\n1024 95629\n32507 85811\n61202 64292\n7642 24361\n11579 32289\n61528 83650\n2156 87604\n73956 78750\n22622 62621\n62209 81710\n51429 53163\n60921 65015\n46787 95107\n38546 41025\n37035 97610\n21502 24623\n69234 88085\n11128 20293\n254 42762\n10827 53756\n13400 67841\n41003 79788\n37749 67515\n5770 68503\n17231 17968\n8496 87826\n5066 29933\n4379 34272\n14490 34287\n51608 62376\n14426 90525\n45931 51880\n37211 93599\n70701 95231\n77442 82603\n16705 40103\n26387 49197\n29340 36753\n18816 72685\n7179 51765\n12419 82633\n30349 71460\n5365 81304\n5877 83697\n9029 35714\n13180 21759\n14487 88251\n36085 79172\n21164 55408\n20224 66560\n18402 42067\n37396 95977\n10999 77402\n67589 82717\n56947 72879\n15857 84044\n50210 55269\n39965 86222\n31902 64047\n20820 69781\n20487 89414\n54579 95312\n22665 80792\n32787 74311\n51934 84617\n28829 71860\n25007 66148\n85505 98244\n32755 87648\n48729 56234\n67450 91602\n19726 98719\n21990 44191\n26878 49109\n22016 32794\n37820 50855\n27222 63512\n1018 96584\n1331 32590\n65669 77581\n40319 55315\n42355 43087\n35888 82206\n39350 61981\n21210 22073\n16708 84908\n14727 95434\n11132 55221\n52047 86149\n5451 10455\n37752 65832\n75197 82983\n17383 54378\n82995 97318\n11376 64107\n18046 71875\n69601 92150\n24103 43169\n12097 60925\n56515 59230\n13993 71015\n14602 31597\n2781 63285\n64860 88042\n36077 45809\n82736 97389\n39811 74884\n39159 39495\n61081 90718\n57634 70601\n27353 93058\n13217 20231\n1593 35192\n46465 98616\n3225 41841\n58794 97662\n36906 70176\n66294 84944\n20270 32997\n15385 39879\n14189 95132\n15652 66092\n26135 34809\n67297 77390\n64225 75426\n21889 85339\n27359 60255\n13621 72533\n45713 85921\n72887 98111\n36879 90519\n43353 76963\n18091 84944\n60860 65178\n48126 80558\n24165 71034\n39126 67523\n26059 56874\n58178 88786\n13279 71134\n45163 78516\n39 75722\n23234 52420\n27297 78993\n61682 75598\n21525 42094\n1182 68256\n6606 82786\n20145 50020\n7361 34709\n52146 65831\n72286 75341\n21264 71868\n44614 50196\n53644 78087\n32582 43759\n96477 97693\n23085 88316\n5216 23771\n47791 92722\n20732 93839\n38670 46499\n45704 47372\n58321 83116\n55379 58327\n1777 16741\n42247 92949\n39294 91794\n13611 80080\n16187 42888\n96393 97335\n2537 37180\n58054 84929\n93750 98791\n35707 76651\n69063 77662\n40730 61121\n24457 70025\n36177 43277\n55889 89508\n28680 79023\n41791 69900\n22412 84165\n33729 97226\n35709 76450\n75275 94501\n11579 67114\n43539 87475\n70763 78248\n23528 96449\n51640 61910\n8297 21380\n45460 91903\n9984 20963\n54173 58951\n5323 96746\n36290 86380\n9265 70041\n12625 80764\n90917 92287\n17893 19792\n6531 37918\n30116 31793\n20140 20907\n12993 34049\n34829 56560\n11016 77308\n34534 45166\n61057 75468\n27987 79499\n38591 61927\n15547 59807\n14770 74768\n5546 95222\n33263 37728\n31331 73051\n25629 36032\n55215 81958\n77198 86737\n44169 48112\n30169 43789\n1965 66900\n29450 56126\n4643 44535\n64775 66329\n58396 70651\n10153 37923\n13837 23815\n33648 72280\n2510 81123\n905 72571\n6219 46914\n60690 88111\n16961 19597\n85753 90762\n24521 53619\n52339 52658\n18886 19822\n49564 75455\n4685 10119\n5687 59112\n13168 87444\n60799 63353\n8502 52595\n5325 87476\n65507 85653\n29906 66897\n20130 44515\n26176 36234\n69897 95371\n62274 77264\n45908 60388\n65632 92214\n4033 80719\n21735 45600\n92054 92075\n13980 19957\n73511 97688\n40263 55690\n7976 33512\n61311 88965\n191 70213\n8919 94964\n19309 76044\n31561 72948\n24713 59840\n66105 98274\n60467 61079\n5798 86056\n38021 63465\n19179 44605\n42882 60301\n38414 54027\n19197 26978\n22562 41605\n7148 84268\n82203 89500\n41202 78832\n51415 58937\n17024 65298\n57011 91455\n32577 41798\n33479 52121\n30188 79593\n830 26038\n72077 93570\n80479 89584\n5971 25907\n27100 74620\n4943 58395\n8621 71687\n62659 75995\n72369 81558\n94886 98160\n51220 89692\n12712 45338\n1098 5906\n45177 69185\n79494 83296\n71895 76187\n3505 38212\n17915 23763\n29976 31902\n22380 45639\n17638 65715\n13905 33626\n6757 67715\n83207 83715\n49072 99957\n30086 34133\n47236 64796\n7985 73621\n23877 85973\n42026 43371\n65509 91771\n60810 95753\n38487 42034\n27721 84800\n43609 71171\n9227 91137\n37944 85774\n173 34545\n56084 69660\n53636 96264\n51033 53911\n27110 84314\n85016 92165\n53079 79335\n29242 64595\n58721 60168\n11612 66808\n16996 17225\n52041 89415\n3610 77667\n32256 40804\n87678 98833\n52372 76988\n35759 47746\n7525 71102\n36519 39919\n33404 55771\n4367 58604\n65187 82549\n24204 91504\n3011 20678\n37609 61392\n36608 80417\n26784 77954\n15809 95886\n14675 29743\n43624 84413\n19853 29825\n11992 40191\n56934 58846\n22510 58905\n8506 39381\n28177 54546\n6326 39630\n65251 88429\n18999 24563\n40500 57091\n81254 89330\n73223 99954\n83828 99851\n36719 71153\n81862 84670\n32403 75927\n1653 56323\n27462 86425\n27830 54052\n33136 34958\n39256 83868\n11319 72620\n9804 58434\n713 50285\n45496 50220\n11183 95828\n64141 89963\n13725 38478\n37304 45957\n38259 49043\n18018 78716\n56373 84756\n25604 52119\n34133 68471\n38832 72374\n43126 93259\n59177 88168\n26827 79516\n35750 67609\n81641 93943\n11400 67269\n86360 89371\n16214 73775\n60103 89537\n16728 97588\n56839 57099\n23273 53057\n52911 95846\n18867 23474\n57371 65619\n46720 95737\n19332 99366\n58022 74282\n23887 71591\n31363 36721\n44933 53934\n72171 89086\n80621 91255\n31969 72803\n10211 92041\n11385 27259\n13926 71620\n1461 56940\n56261 78280\n8767 35823\n61542 92113\n45628 61628\n16591 44351\n24230 65219\n2613 79816\n30413 67481\n1487 58732\n19274 93488\n19974 22578\n56528 60316\n13129 80603\n41248 80864\n11290 97093\n31554 54008\n31364 46628\n38807 84013\n20019 52076\n51681 86185\n51484 57186\n22749 79200\n16245 93551\n14891 83926\n48769 83908\n50318 52340\n21721 42071\n3937 45120\n15243 45098\n33200 34912\n34540 78786\n59540 70939\n59412 64394\n39015 79039\n34944 73935\n5180 71523\n6964 26900\n21077 86687\n52 81133\n24986 42274\n16412 41580\n2050 75386\n14709 95309\n33983 80139\n41998 64223\n17626 61116\n209 51902\n2271 74418\n27761 74684\n9975 84332\n3921 75647\n21570 33961\n22720 66701\n9110 90723\n67399 76483\n29628 72016\n16894 57086\n3244 18806\n7984 62030\n25133 33023\n6949 53879\n27662 93885\n1463 14059\n14326 17167\n39831 43043\n63239 73595\n47516 56094\n26210 67328\n17802 75640\n91457 92562\n18277 32029\n7454 93735\n35569 70469\n61925 89618\n89061 94029\n31294 73309\n7014 16306\n73695 78179\n34167 62476\n13565 77120\n65303 88812\n33574 43823\n6406 25054\n9647 35406\n52494 52668\n82177 97961\n62802 71055\n41209 62283\n32283 44453\n8188 30148\n32038 96194\n5367 37369\n28381 92657\n23646 37309\n30567 37438\n8127 29590\n62314 67487\n50765 93928\n45781 85194\n935 10269\n46515 59632\n47219 85042\n7564 10791\n26750 37044\n68606 83126\n18687 62383\n14140 45554\n17275 98751\n89668 92001\n42094 93590\n20881 23831\n6075 77431\n34329 35925\n17683 45790\n32678 45708\n1361 18029\n22492 64379\n29066 89614\n40450 53539\n75179 76405\n71413 98315\n36250 47898\n29955 39088\n68330 93857\n86441 88291\n20329 42798\n49427 74991\n8635 28782\n27589 57949\n66471 89450\n43302 48630\n2333 36420\n46188 74419\n5705 90335\n14580 54098\n84440 91385\n53355 97464\n85817 92180\n81328 89293\n41052 72406\n24063 93916\n44934 64645\n8983 59804\n11206 30061\n1299 72069\n58120 64322\n37591 66985\n46502 57792\n28385 45859\n26916 71055\n70790 82835\n61679 85243\n38551 69736\n58785 82144\n142 10370\n1413 65184\n49773 92515\n19301 20198\n35978 60281\n13172 92159\n9967 98632\n12653 59273\n35172 86856\n20919 23417\n20413 74878\n25663 69954\n515 61052\n85044 96225\n50537 60153\n10823 69783\n45801 48382\n40637 67301\n11823 19836\n8274 99076\n15583 35227\n17466 28462\n50769 68445\n24203 59071\n2869 43587\n1890 31845\n21307 65992\n22688 31167\n46728 67336\n35113 86015\n15961 22791\n31495 64071\n4485 5872\n30548 57885\n39870 50924\n39371 65541\n24036 91600\n23017 60617\n48607 79697\n11405 38595\n66500 69588\n30790 61785\n78985 95776\n39281 71159\n43459 98046\n18941 44255\n19752 63894\n5780 10812\n44169 70080\n50911 83276\n23195 49231\n13525 40277\n16295 58732\n34084 36770\n70864 74189\n24896 92341\n18766 37012\n17864 48830\n17090 98922\n55770 95456\n43172 95019\n35700 48636\n87009 93662\n9931 38200\n75325 86111\n34636 88663\n10618 98870\n20057 89736\n1268 87243\n42996 62861\n6192 69752\n20566 88881\n25821 33672\n16532 85358\n49817 59816\n39865 88861\n10096 35916\n19346 25446\n38097 49076\n47802 83602\n36840 74390\n40107 97285\n34289 53590\n53557 96327\n18919 75448\n34096 78866\n40089 61232\n44397 51829\n53606 79865\n21384 24197\n28402 47734\n8528 48796\n25371 88772\n61389 68675\n28820 65603\n18471 41025\n76845 91291\n27116 62989\n42898 75722\n5883 35908\n16672 95900\n38823 60052\n44329 58151\n33144 35775\n97485 98516\n25642 51053\n30090 50968\n26163 90274\n7169 35450\n39370 42938\n35247 87008\n15100 63805\n13170 56409\n61040 65209\n68503 83629\n33065 57941\n38576 96879\n4631 50379\n65367 84915\n16708 27056\n18649 45944\n69490 73517\n74718 82889\n69539 89110\n520 61177\n30485 31220\n38631 73199\n73905 92309\n51536 74230\n82216 91950\n28629 52087\n77560 88214\n7018 51947\n91620 93729\n4840 53544\n47387 76484\n50277 59946\n91411 99963\n12600 91389\n8799 53990\n15203 70183\n39646 42367\n4208 92892\n39910 61595\n9390 25072\n13405 60225\n47014 53571\n34956 45562\n71647 91012\n17563 74765\n17954 20786\n43853 74616\n48378 87492\n26891 64978\n71134 81801\n54184 61317\n63206 98308\n15022 45657\n1194 86323\n20896 80444\n23383 85657\n37774 56522\n27362 92574\n80772 99663\n8602 65048\n14046 88229\n83983 95019\n37508 46213\n30957 39912\n54555 81664\n25886 33972\n25077 97526\n25565 94876\n12302 48246\n40494 66303\n55720 77257\n68249 95076\n1115 38410\n52823 73988\n22338 58978\n26424 71503\n15046 25006\n2848 3357\n5955 80791\n45590 49876\n56526 92820\n15141 89438\n18614 97999\n41155 79791\n50936 54343\n9172 23809\n15568 62428\n6113 12026\n19224 22770\n7837 78228\n6850 97788\n52090 72870\n35115 64017\n44027 55976\n41776 57957\n4795 15278\n9193 14534\n5003 72922\n3975 32671\n74491 91220\n328 36679\n57280 86370\n20905 51079\n593 87880\n57480 82597\n65511 90974\n39847 56202\n31565 44710\n60223 97566\n15762 51974\n19853 74503\n62975 75351\n13546 95183\n63367 97600\n12471 97025\n52986 71625\n21529 69637\n80126 95230\n24428 82399\n3934 6522\n36779 46615\n14642 77008\n43964 54380\n1088 62068\n40703 60236\n2732 54398\n56995 85289\n57355 88225\n19418 53140\n59273 95681\n55821 99074\n23695 66460\n31067 49939\n38398 59398\n4107 7476\n14420 54216\n49720 97616\n13809 56263\n11486 46541\n3329 25581\n56182 91301\n17038 21927\n59668 72872\n17486 52950\n28698 57284\n19619 56376\n4279 35186\n1545 18267\n12304 75864\n59263 95301\n65418 76536\n56567 78377\n23044 56865\n10739 18655\n27160 45881\n81885 95024\n8226 63812\n42973 81092\n7566 39340\n84074 91878\n468 81513\n41332 53988\n44739 45530\n1713 99479\n59066 59529\n67351 96779\n65171 89847\n869 29624\n96921 98716\n66246 74103\n4677 47373\n37252 70544\n30362 95760\n43395 81607\n1569 72275\n13081 64117\n36725 40893\n26837 48247\n15114 54114\n75000 91415\n41808 59692\n56926 93041\n16115 76256\n11722 97433\n86482 92486\n1622 6984\n16987 57118\n47647 96704\n28765 79464\n36140 50611\n94915 99098\n15721 98530\n70719 83411\n11074 90116\n4633 84361\n82978 84541\n83416 95718\n27565 49665\n55928 77728\n42912 48887\n11383 22841\n20885 71386\n68536 99633\n21412 43796\n39404 55627\n37111 71162\n57925 76837\n14094 20893\n34430 66605\n4953 59832\n61965 91579\n22629 45543\n36025 39667\n47020 96211\n12644 60478\n48413 78689\n13645 87197\n8624 88779\n63437 85776\n25301 55594\n3432 26685\n78982 84888\n60897 69852\n38490 68084\n18932 80388\n16672 42661\n37507 81748\n25994 28839\n32266 62561\n3860 60428\n44511 99383\n5555 91796\n25874 32338\n3253 60893\n38364 68808\n5327 89326\n46792 83359\n8564 18682\n53229 97761\n19642 43520\n30400 43043\n43409 86051\n83332 89069\n10835 55999\n23576 67693\n8372 89219\n39078 52449\n54643 63916\n37110 86565\n21007 84315\n43767 82873\n32411 81796\n53999 63357\n67469 99129\n4080 25568\n20184 56995\n27248 28072\n16746 77669\n12647 24982\n50336 92403\n25976 37393\n6861 39814\n74316 98098\n12916 81825\n54259 68442\n71480 75442\n66594 79465\n14808 54250\n11891 51009\n70009 90834\n41086 60820\n63929 74765\n54922 73694\n22728 34539\n1835 27964\n60274 87969\n664 37314\n25587 77269\n53109 82974\n39761 66005\n28560 42674\n32663 89053\n36229 37993\n30321 41807\n33090 62752\n32992 94567\n87953 98308\n42948 60187\n10537 37988\n19088 58403\n85823 98593\n15336 28912\n57601 73226\n68408 93606\n57286 99507\n35868 67089\n42526 73867\n78231 87838\n71929 72726\n12074 85514\n82359 98557\n42391 98070\n27376 55045\n53909 90978\n6669 39264\n59996 88990\n15663 62650\n13669 46448\n5258 81685\n4963 89102\n28008 52235\n9603 61930\n59086 73872\n13809 61986\n86777 92903\n34616 94288\n12250 69021\n14413 48573\n5084 17722\n66630 97149\n31712 53244\n67949 80666\n42681 71061\n21014 99067\n15585 21801\n2292 74765\n8356 16303\n92910 93058\n39601 52835\n10899 38204\n30317 68085\n26757 50980\n30320 61620\n54504 81571\n31490 48172\n51516 54085\n75796 79005\n28258 97474\n11688 76449\n44556 84372\n45691 53659\n25938 90552\n15997 54251\n72567 73560\n12847 18208\n1066 15935\n26792 69213\n15054 32431\n79748 81704\n1673 42520\n40046 70722\n54965 60392\n32822 60170\n45627 90007\n39868 59695\n16064 54201\n43794 60308\n1661 88944\n56659 78091\n882 70170\n38268 64763\n28802 65944\n15089 75614\n25982 84735\n45511 59877\n439 82265\n50629 91776\n22298 76278\n50140 73251\n63030 81174\n18461 20581\n55474 76040\n18635 39718\n81177 94111\n2323 89983\n11478 64836\n61969 93932\n51362 75671\n66693 67609\n82383 96918\n31338 51566\n54068 89863\n59615 78909\n77941 96557\n33187 88830\n60545 65316\n18397 32391\n19777 60729\n15624 32499\n25696 92507\n25669 78700\n52076 85362\n37408 69385\n13547 54822\n23128 34595\n33107 42168\n3104 69847\n7243 40692\n31980 65097\n1912 11330\n29777 49395\n29672 71400\n29949 34152\n36402 63110\n2353 45788\n42634 62792\n83457 85612\n73153 78304\n17862 62088\n75510 86379\n42506 74110\n2812 92728\n3629 36670\n27330 73846\n40810 99569\n19225 34897\n28074 76691\n24246 40708\n69877 83207\n279 14315\n45988 71209\n46833 72598\n5154 28303\n83806 96588\n719 30940\n3478 15746\n5328 9144\n51222 82115\n48209 96337\n54233 90487\n52361 68803\n30955 53331\n30841 92521\n22953 82444\n15445 35237\n72128 79520\n12117 90466\n44025 57049\n45871 69441\n78894 87122\n22819 81379\n4878 12618\n93790 98302\n17691 56604\n67342 99438\n4023 70292\n23799 52474\n34057 93072\n42402 71476\n80090 89995\n62256 87825\n52838 96940\n50061 97192\n16110 48956\n37029 78438\n2022 8857\n9771 53080\n53359 89926\n50260 97744\n72081 74247\n29490 38363\n19427 93002\n77851 90520\n6127 65240\n52047 79333\n17326 35822\n11289 29282\n27035 39908\n27902 66291\n12564 44466\n9829 11379\n18803 34500\n1637 24591\n19287 47322\n16096 18280\n57136 86706\n33917 54567\n8160 39846\n49965 79177\n3956 70050\n3178 63247\n87757 91584\n42015 71368\n670 12512\n83 91831\n45323 88057\n77578 93315\n5430 59468\n33623 80849\n3206 42418\n34568 40028\n1609 41462\n58216 66483\n38092 84567\n52405 59976\n23054 89893\n34358 97980\n3354 27409\n69263 75164\n21253 43979\n68898 83642\n82847 85447\n57993 80430\n26304 26779\n13076 67393\n24528 87045\n41319 83378\n14467 61704\n64789 82260\n6778 84368\n16013 20632\n49645 80546\n6719 39238\n40375 76962\n39364 70444\n46380 82419\n45459 96702\n8373 57924\n59065 90506\n14487 18821\n34023 44750\n36828 38412\n38059 41944\n21160 77491\n11336 18276\n14465 80404\n45050 55050\n81148 92407\n29505 79667\n31798 68897\n14627 65718\n30128 56207\n63117 71489\n77172 93254\n15139 71932\n12438 49877\n20196 47201\n53101 98089\n19232 76780\n3543 71925\n51314 77034\n21161 92054\n36161 62074\n19823 32526\n7 94517\n10851 58029\n37529 66207\n77252 97151\n24447 85641\n71882 83143\n25445 49579\n30690 97809\n8416 47652\n41859 61951\n47064 52288\n43737 79798\n68920 75547\n57783 69322\n39626 58698\n48517 79624\n10614 15887\n80157 86363\n10485 87043\n23053 68842\n34236 67470\n12048 75061\n40714 55056\n31640 38721\n5707 28767\n9299 10474\n3042 97750\n39716 54752\n22858 43195\n52849 90310\n14687 24408\n62161 67592\n73088 99186\n11100 91407\n54530 99629\n60996 96095\n7259 29235\n48467 54268\n27069 64109\n13385 48735\n40402 68084\n68040 80392\n37997 41380\n27819 41937\n15982 35863\n21534 53384\n18866 74479\n30468 68714\n21190 81641\n46578 93196\n25465 75047\n47086 47349\n64848 81108\n29603 84460\n83121 95180\n26778 88698\n49370 50972\n54317 82264\n44282 90231\n17848 81684\n92797 93657\n34128 72577\n66025 71744\n546 76020\n52332 53431\n4073 58704\n60622 94573\n20349 80283\n33928 54898\n2576 69215\n64351 87620\n79370 84997\n59271 84451\n32737 34749\n44147 65793\n14838 79261\n32309 69834\n71682 79446\n27466 51375\n14537 87360\n35099 59710\n8392 86351\n3032 56105\n28312 33022\n70146 89711\n32288 67768\n49998 81407\n22416 71698\n46199 69020\n69159 90796\n7684 15837\n4461 35414\n22495 83876\n33657 56930\n3058 48370\n48462 58162\n36051 54029\n54181 58094\n47272 75593\n65884 68820\n42412 55576\n52141 62259\n55856 60715\n28698 52551\n10963 41879\n9453 92532\n45328 98445\n17106 73880\n15684 76453\n692 30913\n35702 56443\n10175 83271\n95789 98936\n24421 30158\n6751 47159\n824 72873\n27688 98057\n27229 96551\n56277 98078\n53774 62833\n10117 44914\n4746 53650\n17428 35043\n28011 61945\n23546 58618\n3619 88678\n36397 83149\n17250 60059\n40573 48840\n56862 59804\n62211 80514\n28226 36570\n55352 69865\n44387 80922\n2132 91346\n2046 20849\n68680 74838\n30125 49703\n67473 97603\n83139 92608\n83947 86215\n3370 33404\n30938 34884\n10087 55578\n95483 99699\n11152 31999\n50113 91674\n79444 95257\n63446 72133\n4366 56483\n36230 78806\n14782 43334\n25047 96233\n69197 85825\n20330 23251\n44164 90078\n38685 84830\n38185 89424\n26637 60131\n18455 89225\n15275 48899\n72136 83551\n52591 52967\n66519 82477\n20887 68407\n40608 77419\n50107 75854\n12401 87010\n50760 85504\n51437 81251\n1138 50458\n37172 41414\n18865 35572\n7612 27460\n21799 78748\n8318 88245\n2481 43743\n7783 42596\n85656 90735\n91852 95766\n65726 75866\n22131 79823\n34136 50193\n31336 51133\n66226 73463\n31333 56357\n38527 61604\n4691 69102\n28573 87872\n53186 87403\n51436 55885\n20195 97108\n29141 83123\n46889 98389\n17618 33348\n20237 51730\n25315 86034\n36140 67484\n27130 38111\n37410 70368\n91401 98277\n32211 52110\n38102 87734\n39155 63999\n58528 63646\n81003 88676\n26725 31659\n15981 95971\n62348 80895\n62728 85814\n16936 67371\n19472 33585\n79 18447\n31656 67640\n15314 67915\n58191 87891\n23393 56052\n93338 96600\n37124 56729\n18599 84501\n70396 73928\n23548 62083\n12136 21037\n98001 98749\n30158 39768\n1311 44861\n53694 65409\n28885 45908\n1571 91482\n29661 69933\n7026 78153\n72007 85374\n61181 74470\n17489 36999\n14671 59375\n40420 98558\n75755 90204\n9324 55623\n1459 43282\n20743 71306\n13959 58645\n48629 72745\n33352 60654\n41214 57586\n81217 89169\n7928 89199\n80746 88555\n8441 16683\n47383 87041\n55252 57724\n50089 72095\n33401 86473\n56983 70742\n93 9312\n45884 93297\n9799 10628\n41194 64424\n44045 49366\n64943 66788\n23256 77973\n790 39140\n2921 24297\n8815 68485\n1089 30304\n4277 89907\n59409 92883\n77096 97217\n63716 84260\n3143 73348\n37210 52041\n82809 94207\n238 33121\n778 13171\n748 20262\n90082 93783\n77152 78909\n42747 97729\n37491 70071\n119 44914\n68269 70181\n66732 74897\n21921 80159\n3424 19933\n12644 26097\n49025 92672\n29054 71760\n19411 51384\n20077 73379\n51258 82909\n67381 80027\n14454 79232\n53404 82373\n9537 31135\n24046 99644\n11268 26916\n27248 77504\n12607 33296\n1418 88727\n46384 74186\n8146 54950\n64602 97522\n33378 51151\n39694 58941\n21920 84862\n676 99070\n9825 97308\n48726 78174\n14761 99877\n56535 57781\n5232 69408\n5632 49078\n16144 20525\n23206 78711\n20028 94753\n75811 91309\n46854 58236\n5402 69309\n51024 87558\n27778 33183\n18399 29442\n3987 69047\n53658 58613\n35127 67495\n32929 38456\n23585 27197\n12682 17455\n19638 85626\n64534 68696\n12496 19351\n68091 89868\n12661 41440\n383 27068\n22687 33355\n28983 85048\n27831 41678\n29201 31144\n37143 38501\n7183 32354\n24499 59083\n19313 47564\n62488 89291\n63965 73598\n13055 28162\n38043 72773\n52744 93064\n46458 71763\n36222 95308\n7307 87748\n72696 73511\n52140 77174\n11874 85341\n54941 62291\n32889 96219\n65050 92842\n32699 44669\n24751 33879\n11059 59842\n20665 75667\n11719 29651\n12498 96942\n35427 80112\n12317 74026\n52906 64943\n51398 98138\n13839 14895\n20603 33931\n13104 30599\n23030 85065\n19221 48700\n9756 26233\n15069 68160\n28157 37270\n54671 71290\n39500 43771\n3990 17903\n33024 54277\n41111 91592\n28924 60693\n1434 60237\n36739 62252\n24112 34014\n59490 92471\n6732 22150\n60696 68002\n19894 33641\n26052 63561\n38018 79123\n49975 71536\n61064 78663\n87981 88922\n41319 45459\n21658 84449\n62381 98612\n20141 68163\n41112 51334\n29610 66239\n17466 70433\n43685 62387\n78675 80014\n15090 26939\n9610 21741\n21307 99734\n61120 91300\n13039 97595\n59488 96396\n85308 89166\n18686 82460\n5886 61027\n10533 43646\n37753 94454\n22077 65132\n49006 80164\n55340 57263\n13075 65911\n58985 92961\n7917 45697\n7190 77427\n28225 57490\n17669 43046\n63548 97166\n4132 46496\n77416 97142\n51762 77576\n13445 63857\n9938 54179\n13870 24499\n8026 8410\n803 28238\n78416 88281\n44272 87597\n61698 65759\n74475 89484\n54138 95700\n40759 84924\n35389 89099\n18213 37746\n47527 91088\n14351 27284\n77841 82494\n2949 94626\n1755 77566\n54175 86248\n4617 91535\n10490 97626\n55236 76731\n6672 93265\n65315 97343\n45248 96401\n1018 4234\n32107 37705\n27642 33402\n22640 68589\n72035 80155\n36513 94299\n40225 71454\n4703 54344\n77349 77655\n36959 84000\n36141 37526\n31248 65371\n26761 31576\n3255 73460\n25178 28626\n1037 17295\n2750 45722\n45325 45971\n75670 94030\n70190 99647\n55283 95234\n32659 41972\n10382 63265\n14848 83300\n44932 97737\n1917 74238\n15187 69909\n45756 68995\n33097 50390\n17655 90758\n55614 74560\n64850 71513\n31196 57694\n24397 52671\n42490 98604\n58050 77509\n51456 72317\n68587 84280\n53610 77943\n4714 57395\n66068 67524\n487 54087\n6267 70485\n13628 92698\n12448 80403\n18271 65919\n6989 97263\n44767 89720\n5055 73545\n11416 30634\n39230 50007\n39785 63763\n18124 47352\n7502 81815\n21042 58829\n43104 49975\n90384 99316\n8230 52799\n52768 84487\n43826 74494\n66487 83067\n4009 58525\n17550 44919\n36394 58916\n32067 65001\n19817 31640\n59430 65031\n10122 17520\n31247 59325\n66060 74501\n12903 13984\n7614 56991\n12353 37932\n74633 85428\n10056 10804\n8749 37515\n62003 90277\n6993 34990\n54164 74987\n19218 42768\n77543 77744\n17698 30944\n10130 26704\n40619 88214\n37622 48540\n26261 41213\n4425 99091\n2588 76797\n29714 83951\n55667 84852\n21932 95599\n12654 29125\n54499 73984\n18745 84626\n56547 90447\n27132 28342\n77007 92969\n2548 30117\n29129 46123\n880 24376\n27289 66623\n37719 54997\n12612 54998\n64503 93131\n68569 89363\n52945 69544\n52754 66316\n68183 94211\n42807 72875\n33011 84549\n28315 45449\n10015 57639\n9974 56973\n20020 50886\n55719 79302\n4938 90533\n27337 89052\n28912 67880\n43686 58442\n40146 59636\n29447 41366\n32081 94389\n40615 56829\n45323 97346\n53188 72397\n7150 62239\n27479 29411\n5935 60931\n44359 48566\n37605 45314\n26374 87335\n32681 98493\n3938 24621\n35195 45938\n30652 74320\n30001 73636\n39341 93274\n3343 91896\n2884 27597\n42963 46194\n8135 75283\n76742 84443\n29284 86623\n42789 49164\n13180 25222\n67283 86091\n49629 70935\n16004 48384\n20923 32867\n16182 79591\n26315 89485\n21319 64871\n55796 84815\n7029 29927\n755 19302\n12230 97643\n32271 83317\n38695 53537\n23875 56201\n11533 58923\n46402 54914\n23482 70451\n1922 15574\n4931 82645\n3998 77626\n35970 39091\n6349 64998\n86830 92881\n619 13580\n12976 70565\n43822 48189\n6308 29794\n44457 63794\n5922 35437\n45644 99878\n53943 82004\n41470 72668\n33580 63757\n21400 72329\n28397 42882\n55270 63868\n1865 27721\n66971 86362\n2254 97309\n50836 89508\n4591 36217\n13510 42739\n53137 64982\n42531 79404\n56719 58733\n65260 89673\n43664 61182\n42393 72302\n83238 90705\n20532 51402\n14693 18261\n16981 51752\n18384 89568\n31506 40580\n57378 59512\n1617 36615\n22498 57764\n39931 90055\n5126 58811\n20996 94145\n47104 67436\n12577 29779\n49553 89559\n72850 79989\n17138 82382\n12980 54080\n1681 69795\n5537 34097\n40941 60109\n44516 85202\n59498 64371\n51029 81223\n59996 94299\n46962 59259\n2530 47309\n8715 45525\n13928 31774\n13814 34258\n45993 87879\n29954 76505\n2703 17009\n48987 74209\n55764 58219\n31293 98544\n47480 83812\n6177 38967\n385 88855\n47248 51080\n37613 87714\n41352 85938\n13884 62617\n3408 82391\n61526 78152\n42249 84700\n30635 99610\n17334 56037\n10969 38444\n29283 38092\n32284 84802\n27357 58441\n83884 95593\n7738 15182\n25035 33193\n21929 89412\n29972 50484\n50689 65366\n5160 48057\n3858 56214\n6812 67141\n5812 28290\n22835 88615\n98884 99972\n22371 36535\n25868 26575\n4208 7847\n38825 82946\n12142 26271\n5095 69250\n28724 84570\n65094 94317\n5760 31836\n29781 36904\n24396 55222\n18726 22973\n25734 30572\n11576 24849\n33045 55810\n20403 82608\n40623 93085\n34068 84806\n28702 50893\n31234 79076\n52940 53132\n27042 32077\n20790 46504\n35528 97388\n69496 78785\n64508 83582\n79208 99610\n6723 14790\n81131 85508\n61440 92197\n22299 62360\n73992 78217\n84243 95412\n15940 31842\n91366 93486\n30976 37607\n14726 15726\n76319 92658\n50702 76383\n60926 62940\n50095 90271\n41856 46720\n21326 87003\n35666 50315\n79959 96062\n8759 98329\n40431 79277\n85538 94042\n2096 88516\n37494 83054\n15752 44146\n14349 29653\n9811 32176\n2191 87161\n37073 88482\n56621 76396\n10296 17348\n2444 36405\n52262 64642\n6286 85605\n28751 92634\n3143 58300\n58026 98450\n811 52384\n5993 92655\n17668 57517\n40711 84688\n9891 31472\n5094 16554\n53702 98111\n64278 82152\n38694 81738\n7229 31993\n7144 61536\n24440 82746\n22164 94484\n48984 54580\n1992 49175\n2565 42686\n15734 88178\n20725 55687\n225 33776\n28510 59449\n52275 88977\n85808 99032\n4787 74875\n39935 98823\n29900 34026\n67315 93595\n60621 69299\n65512 83154\n27506 61966\n7460 91702\n86875 91036\n49290 57310\n42139 84258\n4342 44298\n27049 89871\n55444 91008\n63894 68155\n27399 66075\n21696 44391\n17159 51541\n75 82213\n281 62550\n57522 66503\n37400 39118\n38112 52961\n3259 22767\n50533 97121\n34951 91989\n3387 20418\n62672 74947\n57963 71292\n1462 28924\n9379 78143\n9985 93948\n3154 96749\n59163 59849\n2299 98190\n75404 76784\n4025 50091\n45100 76220\n37240 38580\n21246 50265\n33780 86765\n1644 53976\n30235 78435\n949 78693\n74198 90548\n24410 37708\n22713 69050\n88525 88946\n79161 99954\n36647 78903\n55935 80789\n1231 59731\n15770 77070\n5550 49634\n31984 33283\n2428 25902\n26453 41736\n14757 76521\n77621 98107\n85222 89640\n17442 83035\n25629 75040\n22921 56252\n57681 80144\n35539 97510\n42603 89686\n14746 61656\n31591 42893\n745 85780\n31499 75470\n68172 84400\n38990 39573\n24880 80132\n48941 70568\n2577 15174\n63210 71455\n4783 30113\n9067 62112\n37021 37543\n44159 70191\n1018 44594\n499 71430\n1393 76919\n470 48700\n3299 43280\n28484 79119\n23754 98543\n34161 95853\n51273 95886\n6491 26230\n19829 78941\n45032 71522\n23453 39363\n20157 63203\n11145 48801\n45996 80057\n31681 37621\n8819 85408\n4712 92770\n48150 65109\n16839 62312\n42757 89892\n14465 57188\n85157 95473\n59897 64383\n78139 88211\n9627 58983\n43989 97289\n87420 98940\n21470 79640\n34214 50449\n30987 74696\n46218 48684\n12201 32024\n68372 81264\n30722 53340\n6931 43923\n59456 81307\n19886 95654\n9878 81513\n9223 99145\n43945 49659\n71145 91539\n18093 58323\n44764 44819\n2292 29773\n12319 39262\n11684 65251\n37598 60853\n56167 86292\n7272 50066\n6602 51493\n18959 26026\n38339 54776\n28202 39386\n25440 36401\n34558 71158\n49183 79517\n20323 23801\n675 44706\n17451 24442\n2090 83960\n33140 87848\n18303 18619\n30587 59076\n47287 59312\n19671 57812\n2311 38354\n40349 42878\n8828 35053\n11723 56332\n30306 42856\n9657 36346\n61481 83848\n3213 33205\n7702 23913\n81173 89325\n3760 21340\n76186 93390\n5938 55592\n5614 46985\n53312 92705\n18710 99808\n59725 72774\n42674 90541\n39954 94043\n33841 87730\n44818 53030\n8237 69552\n907 97582\n3442 66686\n76299 91602\n54738 57985\n47900 71389\n65362 92039\n15774 23240\n11457 33201\n16830 64043\n8776 28094\n37249 56649\n53555 71917\n18658 68342\n23690 91734\n62891 85090\n31499 32042\n43836 89742\n11367 24921\n48853 56049\n64726 69537\n59789 73664\n3439 51349\n70120 94312\n73050 97868\n23313 89500\n36387 56018\n59366 67504\n49751 65805\n14104 91193\n61609 98670\n41751 71828\n29581 47236\n33683 52070\n8286 40542\n30902 73976\n56426 69125\n44050 80737\n38353 57136\n24540 66729\n16339 46310\n52085 85451\n26139 33047\n26752 93029\n20823 78473\n23757 41199\n44107 90895\n38778 85768\n7858 20787\n22017 81296\n32108 85423\n30304 61275\n20761 60857\n39806 75736\n19876 74990\n47006 56399\n57751 74963\n16913 20882\n43757 68460\n14188 25465\n37235 50677\n72881 81198\n49255 59928\n15304 42956\n65242 72832\n3121 41468\n31859 38489\n37258 88928\n29781 50174\n2562 74031\n20066 64499\n13947 25464\n37094 99280\n38620 85548\n33044 66480\n32210 38633\n12908 45126\n3688 54524\n7410 67701\n36049 63884\n31629 56879\n45063 88364\n63737 88868\n43187 59409\n172 56904\n63452 95428\n65945 81343\n8136 76209\n6099 90724\n9368 11614\n13036 20656\n22919 31487\n55950 60935\n13922 50694\n64619 78226\n46655 67200\n60135 97748\n85453 92943\n6466 35654\n51127 56323\n49450 88408\n25123 67439\n9827 72502\n23705 74014\n81272 82178\n21165 47361\n41245 73607\n19674 35948\n65458 99616\n46927 96834\n43524 76201\n57593 58296\n60642 71628\n18156 88635\n4504 75015\n44958 53127\n6719 90821\n24944 92405\n3409 29804\n33993 43699\n6390 93559\n38509 42709\n55119 85771\n13837 77965\n14878 65471\n34521 36772\n7832 36142\n55774 61918\n39096 90371\n69526 73749\n2730 67028\n35035 63756\n3002 86300\n12191 75507\n28790 97520\n21627 42541\n82646 83081\n21850 70935\n26290 80194\n60120 69239\n607 13028\n22054 52120\n6106 15898\n83339 95646\n28856 79088\n26863 82248\n302 12474\n38400 89780\n7822 16247\n2085 21408\n24590 55492\n3079 45751\n48603 77148\n59598 73789\n12227 81566\n26228 80410\n13014 19599\n81307 92655\n8255 45885\n6949 20743\n1502 66939\n24950 62838\n9145 62150\n27292 77405\n65595 76926\n49731 82135\n55013 63559\n22422 99929\n69466 83799\n15532 22386\n17787 24366\n68876 81342\n68647 90715\n61393 93320\n81547 97348\n67054 74069\n42861 65572\n28759 37704\n75926 79509\n29037 52485\n17784 99056\n75996 84118\n35232 69202\n65628 89181\n60066 75928\n29092 87403\n1492 12849\n11966 18304\n30481 49345\n2206 23789\n71237 79581\n25451 31310\n7387 67930\n24727 65279\n35342 45972\n7920 71509\n24595 38570\n5228 11195\n26654 72646\n88361 98805\n29069 32191\n39828 86754\n82940 90654\n68824 87784\n8059 39321\n36971 74695\n21212 66004\n95003 98070\n37319 76840\n17140 51428\n19268 34573\n39325 50364\n19268 33595\n35231 97781\n49314 77707\n16447 81612\n63660 72880\n48621 58057\n544 84566\n13419 85429\n33691 38087\n30141 88258\n7678 66322\n35307 50497\n16451 65178\n61637 95061\n3016 32727\n26080 95132\n53332 93971\n19794 26536\n24258 70604\n39322 81874\n31097 34339\n4681 68685\n22126 90699\n74788 92301\n69431 76191\n2856 62506\n32272 65208\n3216 5910\n38055 90762\n30880 43403\n47834 73848\n24197 85147\n36912 73244\n71231 90208\n62354 64755\n9067 61156\n21024 54021\n70768 93482\n9489 90077\n3245 21966\n47796 93248\n57125 74918\n56758 95967\n14846 55917\n26946 75566\n68149 99635\n1900 70659\n15584 95019\n9735 78535\n26633 70127\n13518 76194\n25569 26922\n5419 40344\n59523 69373\n5282 87817\n72787 76212\n52696 79420\n9166 54128\n46825 75151\n59460 81681\n83863 86860\n60163 89904\n66342 86897\n8172 25096\n48996 62237\n24637 67476\n44006 67068\n74672 88494\n1135 33903\n94841 99878\n14079 96290\n4631 20547\n22769 29935\n31558 34914\n51627 96321\n68777 73057\n18134 39037\n7963 25572\n11133 20825\n49582 50391\n36003 56783\n21627 60870\n24338 86753\n56876 98481\n18573 54221\n14299 34707\n15288 83473\n3274 46716\n31539 94211\n36954 77533\n1964 97111\n2724 37922\n49542 59888\n597 49272\n40607 82469\n20440 50832\n65351 89320\n38445 97858\n44074 98144\n19841 99061\n44556 80149\n3695 61317\n32804 55364\n79437 99569\n30286 63874\n40209 71239\n28062 50082\n14545 36507\n5728 61571\n11350 79474\n17956 78415\n56200 66220\n51616 87752\n22203 72290\n5638 38201\n53230 91241\n46364 50461\n62809 63407\n52619 86975\n1355 25291\n79619 82623\n14188 45288\n46004 57036\n2827 57807\n52327 62973\n57676 85678\n15803 70028\n26434 32338\n5569 39186\n15752 52756\n37177 66367\n40747 93778\n13724 50633\n46941 75979\n45443 93230\n29103 57516\n977 85635\n70176 93565\n41323 71781\n15530 57533\n59062 63064\n68795 99312\n3291 71311\n37271 99191\n5298 10252\n29232 82185\n28543 54328\n50535 62254\n46252 84583\n7556 66606\n84615 91875\n40641 71091\n31841 58064\n46904 83284\n71013 94133\n4334 70310\n60027 65879\n29640 63039\n28056 64458\n33024 60143\n10123 65443\n7318 31450\n13623 39162\n26911 88962\n10060 60560\n41045 62208\n90055 95268\n47179 91676\n18783 22362\n47746 80674\n30408 43795\n60447 85941\n41175 98128\n44578 99437\n40884 82199\n965 93401\n10777 80253\n1133 51845\n19496 28334\n23151 50356\n19412 65049\n12651 13406\n18783 48906\n49081 68179\n33651 74475\n28925 88955\n10122 35263\n3638 52287\n6244 40728\n24171 76914\n52712 53037\n11714 29601\n10087 26454\n48010 49033\n49559 96203\n29446 61593\n40300 95393\n45036 91227\n2 1440\n4946 66658\n50563 56435\n17403 50433\n16913 46342\n64172 72461\n5263 56737\n87141 95719\n32681 65684\n3852 11826\n65814 74083\n28002 92626\n17672 43418\n12498 30512\n48523 68907\n36025 59048\n26332 62378\n194 47451\n41491 64388\n38136 50947\n41170 59084\n8885 67202\n24148 87000\n42730 77428\n50985 87914\n6491 7023\n49301 78547\n45442 50804\n84920 93397\n1034 86192\n14731 78755\n13294 75349\n73455 78546\n48690 94807\n3729 48044\n14103 89259\n24518 56844\n38132 46237\n45625 47436\n16161 51108\n54185 83100\n33433 75646\n67448 92861\n30147 90151\n34324 98242\n5996 42436\n15580 58232\n53823 57832\n51978 84207\n51312 58403\n24313 42930\n16353 61231\n2362 73257\n28178 71317\n37246 66400\n8740 91644\n53303 62563\n19518 23839\n47231 51697\n5396 88207\n39547 51165\n9564 97290\n21823 34633\n18821 95444\n36152 93441\n16935 23273\n8761 68794\n28800 94096\n40611 97193\n53278 56367\n75690 82220\n76650 94220\n13529 58751\n4892 31805\n58799 70304\n12549 16939\n49086 97436\n35530 76431\n34454 40099\n64669 73788\n56322 69480\n28004 51258\n15352 67066\n899 77636\n20340 62799\n12042 97353\n48042 86451\n20274 80003\n79351 90856\n5225 62443\n54630 88919\n30451 61650\n30268 65326\n31707 45239\n45584 81876\n44329 62720\n63364 82705\n44185 52623\n71124 96665\n49497 87799\n18036 34253\n74729 86406\n8688 82928\n10992 71407\n50544 59030\n15744 88314\n9635 96912\n45213 69809\n34892 44857\n2524 35711\n12488 75229\n16320 48537\n54757 73892\n13110 88390\n15325 58991\n37197 90129\n42378 61315\n69139 84186\n9661 48118\n43165 89806\n60404 68425\n17093 96594\n52847 65256\n36560 82035\n17993 62777\n66219 74120\n9441 49404\n64792 71694\n64725 96489\n35613 98023\n66282 89008\n29964 84925\n6328 45179\n45742 60827\n5526 18535\n8156 87774\n7923 52042\n35631 60130\n33467 92825\n32970 70022\n4132 17158\n20311 86793\n35265 77313\n36399 72894\n7570 29746\n80449 86267\n8 50822\n9269 95512\n64712 77806\n35254 91334\n82432 96761\n11660 33803\n15674 18867\n39003 56783\n26498 96393\n9704 42265\n54386 68767\n31362 62119\n7415 45611\n23753 60930\n75583 81948\n45541 47215\n80615 80727\n11601 79920\n20046 88439\n20237 45811\n3143 9338\n73043 84726\n38042 64901\n64185 97782\n37704 96084\n8822 78232\n15509 95720\n52095 69623\n4045 8670\n27340 65222\n22504 42972\n42784 50959\n78488 96876\n20264 82691\n53957 84486\n42609 61450\n26577 35953\n72229 96071\n30995 93208\n5345 11494\n23965 84761\n21352 32636\n58660 78263\n78894 87546\n37207 57505\n2348 47895\n9829 91012\n1984 40782\n42100 76476\n29876 57541\n8429 48655\n25039 41831\n32803 68118\n41867 56067\n49330 52861\n67333 71229\n19973 74517\n78808 81324\n26219 57746\n8346 36600\n8082 79017\n22869 87639\n60910 67917\n70363 94916\n55391 90270\n52410 58751\n36796 66722\n20061 96859\n574 55647\n51556 82538\n14812 67148\n38019 90722\n17013 29719\n498 57432\n8948 40739\n49349 72664\n16890 96121\n24598 59557\n73596 75315\n60352 88643\n37597 60120\n31113 41510\n11179 17134\n24280 40072\n94374 96075\n30200 30385\n48773 65286\n55510 70390\n2418 30668\n1925 46964\n14930 38453\n10701 14906\n26912 39239\n57452 59100\n68895 81923\n6752 50147\n4626 82616\n31316 43740\n51919 54222\n47228 79387\n77463 88216\n45023 97727\n15905 60287\n2169 50459\n15363 83571\n26414 52353\n27676 69098\n69925 80179\n12278 81609\n51307 78749\n3618 84000\n19602 77606\n40649 81316\n21339 83975\n47115 60856\n39754 55731\n7732 46067\n32717 33998\n85369 96710\n33368 67732\n1668 50451\n20550 58194\n81167 91518\n36396 97851\n40236 44872\n6517 43372\n16781 46941\n15284 23035\n35058 75816\n56121 65244\n1234 85811\n55239 95608\n48705 92794\n58855 83970\n60440 62753\n84807 89646\n18674 97907\n13249 84999\n57921 88609\n34929 67797\n43887 64902\n26584 75938\n5164 80649\n52506 62496\n18910 97975\n12037 89141\n50851 66192\n70436 95542\n1058 32898\n60215 95953\n91750 94690\n33202 42523\n34231 52975\n40640 50258\n24334 28122\n15795 31136\n45853 76794\n92422 98320\n5339 42388\n67698 85029\n23567 35442\n13324 73594\n13798 27539\n62507 84533\n74557 85917\n40514 46186\n18522 36169\n3664 66660\n50468 83125\n52927 53159\n51244 82752\n36269 62750\n51138 86191\n36609 79473\n41957 96784\n28039 58927\n41542 83556\n2678 59199\n6208 96627\n68848 75590\n1451 80514\n13380 33564\n15187 81684\n23721 72121\n18387 96263\n18480 55589\n23265 47223\n68932 86185\n22456 88946\n28494 87326\n11115 61106\n28844 41213\n33064 62611\n37316 49438\n14654 16809\n42901 83392\n18381 96721\n28658 86477\n47651 75783\n22437 28624\n45529 53082\n28401 49683\n35502 52019\n28362 89995\n67802 72126\n60217 63090\n9961 38752\n6617 76672\n1320 11797\n35232 62053\n9283 74655\n43024 70011\n7449 19274\n12511 13735\n41248 62491\n64047 96174\n8994 38489\n11954 35020\n30878 65715\n11845 33204\n49891 84611\n22978 70460\n67940 73881\n20341 54813\n56231 71696\n2987 7911\n92840 97880\n9572 66315\n69220 95433\n16934 80509\n2999 72601\n440 37746\n17620 26739\n12081 38274\n27223 27926\n20877 59861\n36653 83917\n94564 95407\n44919 46673\n51558 97076\n450 29998\n14960 43385\n34756 83477\n28517 97621\n60985 92710\n3268 73613\n15820 53978\n41176 93893\n652 6754\n58883 93963\n5111 76334\n42779 77906\n69813 73870\n38470 92936\n19782 60355\n64633 91522\n58235 97857\n21963 67735\n26320 36717\n40327 61378\n24028 55291\n24044 98177\n56803 83011\n4008 68697\n68905 79851\n21310 52525\n3599 30355\n46152 70517\n70962 71081\n42409 54341\n58880 61955\n37253 79089\n49817 65885\n44627 62168\n4259 62547\n51049 67613\n62987 72584\n70173 82857\n56057 61565\n68006 83361\n35717 55584\n29734 72370\n7909 49630\n9415 74927\n21251 95864\n57094 83265\n24922 94785\n50676 63249\n19037 74069\n18732 63960\n31905 67557\n69149 72786\n26267 50698\n83224 88780\n65152 88560\n8630 59879\n22975 59615\n91006 96265\n6931 60196\n12655 22035\n834 98986\n41853 91141\n60911 73863\n26404 59243\n77907 81269\n11671 69891\n47202 95095\n38424 63642\n39484 46230\n75372 84178\n66619 86988\n55504 59335\n1335 12881\n8635 19741\n43755 71782\n40957 67016\n50668 93902\n6019 40882\n54495 86855\n54736 62623\n76146 76962\n25086 35173\n72202 79692\n45860 84946\n28196 36946\n29178 54351\n11512 46490\n817 47034\n41546 87839\n34313 50606\n30581 42076\n61684 71502\n50525 96521\n564 79583\n3646 51956\n1619 26789\n26309 82731\n5150 47896\n45134 87160\n30927 75370\n6981 40127\n28481 76320\n23856 58979\n64009 97683\n77563 82824\n49186 91657\n24551 85362\n26795 86643\n51665 75755\n8101 68246\n40920 49997\n67022 74737\n27189 97904\n44377 76280\n36527 63227\n26951 79999\n9787 11437\n94636 98314\n5760 83582\n54028 74488\n7761 41989\n3413 27997\n20805 49178\n25567 51053\n36866 69005\n18381 32768\n38417 66941\n35737 74991\n49458 58628\n33126 69766\n85525 89427\n8088 57286\n7621 49667\n70020 81986\n51778 87484\n43571 51030\n40118 79179\n33643 44524\n17025 55296\n45580 70727\n49372 59161\n85818 99464\n22093 62173\n34010 94699\n57410 95852\n24142 53629\n60506 74240\n15395 62308\n64245 73044\n29100 72300\n1005 17798\n6505 90619\n10691 23303\n13878 75862\n54049 63396\n33624 58759\n59553 69185\n58873 70803\n28501 88462\n18300 28362\n67331 78402\n21734 22921\n26078 73993\n66733 87983\n80554 89243\n29434 90623\n13190 73894\n75520 83855\n22364 78569\n8442 41233\n30189 44473\n29371 66447\n67884 96812\n15664 33150\n14632 45085\n49770 61659\n37710 49399\n1380 65554\n10333 50375\n41923 96535\n60148 98643\n856 83458\n27823 29324\n80410 82948\n530 34521\n46619 67184\n52872 99268\n6593 78268\n81131 86595\n7763 70290\n66029 88222\n46156 53697\n40068 68193\n37115 92789\n73965 83638\n44880 45217\n9428 39749\n52392 70075\n1485 8123\n66391 86052\n19236 23067\n49376 64246\n273 33680\n60507 67673\n3471 5583\n21434 68689\n48770 58195\n68244 79311\n5057 11582\n11166 25564\n62077 67290\n51783 57834\n43558 59263\n80355 99483\n46212 97493\n4844 69312\n4976 47841\n3109 49753\n21226 22531\n44164 81815\n2553 13366\n74112 98760\n47594 95517\n74662 75409\n33214 41214\n6446 69832\n20318 24681\n25549 32972\n76190 94824\n18070 49892\n8133 51155\n26381 35178\n43985 95811\n10997 15136\n62478 76777\n54750 75228\n3939 96553\n58804 72168\n40612 53818\n2359 20506\n16947 74756\n17010 28938\n71583 75221\n4626 14067\n85023 96916\n41124 96875\n6676 45814\n37854 93884\n15103 65198\n4787 82295\n71653 94538\n7494 22442\n39461 52105\n19631 86463\n52789 59014\n30187 67269\n11464 69150\n85321 95989\n10559 74489\n35352 92215\n26009 61558\n28453 78142\n29885 41610\n56034 80084\n6697 57549\n32875 54957\n12944 19392\n8181 24900\n17996 84311\n22840 77960\n52330 82404\n91024 97483\n28406 74677\n13193 54964\n7280 90936\n64445 96310\n16695 31282\n3291 21504\n8502 74507\n12053 46185\n49349 59258\n22127 46444\n73873 97417\n20523 70297\n8427 83421\n26905 60412\n40855 58850\n1511 63234\n5422 21190\n32430 59778\n73945 78037\n5653 39380\n52026 70040\n29813 78358\n62880 67292\n52622 75427\n26142 77597\n20938 51189\n29861 49910\n6323 42633\n8706 31882\n46572 81752\n67204 93702\n41646 57907\n56516 60693\n8709 16243\n8720 48612\n60731 61870\n10017 38364\n26793 56845\n19360 88692\n13383 60056\n25262 58517\n23866 39138\n82238 94082\n43751 52654\n18679 76419\n23379 40431\n65528 98818\n81315 94762\n67718 97482\n11027 71774\n43937 76676\n35775 98424\n36181 60441\n92676 93878\n2410 41518\n63541 65453\n9492 44350\n37845 80218\n20181 37788\n22801 43510\n53234 62046\n57214 99765\n24906 96290\n45227 48516\n52687 83238\n4590 7619\n16129 17581\n34417 46569\n36273 80428\n37290 64085\n88747 94812\n13431 75394\n11897 73957\n22059 53527\n7414 15500\n43305 46032\n41853 60399\n25951 29231\n3260 25822\n6285 56555\n86439 89535\n7378 81984\n20376 90802\n62070 74776\n36288 75415\n264 38465\n41652 73455\n37676 84374\n25767 81605\n6991 89891\n44565 97752\n9579 88652\n24860 93410\n15579 96949\n84223 87114\n42510 96456\n7678 70454\n13652 67031\n78497 80863\n24409 71911\n67187 99979\n15780 24322\n47176 93149\n22172 91567\n5374 43819\n16880 97386\n38917 85532\n49674 71351\n42375 69917\n61932 92610\n8133 22172\n27696 52942\n29535 30005\n34079 46932\n56808 68563\n48573 76851\n23010 78997\n1931 41630\n78325 85851\n39329 40342\n7605 63722\n19328 51301\n1400 33624\n2253 34604\n4563 47266\n19568 63936\n7121 66467\n3951 45259\n25627 97879\n49606 94562\n17760 97068\n31869 54059\n47144 60890\n4229 83545\n40321 50180\n24751 80256\n82828 87819\n28427 34966\n37208 75946\n20524 21469\n70252 95217\n54372 69375\n56245 78029\n13996 41497\n44107 60982\n11672 21806\n81222 96732\n84308 94864\n49111 89836\n31710 76205\n71912 81899\n84587 90127\n51656 76695\n35827 49254\n33054 79477\n48186 62384\n37465 39686\n14218 50598\n85384 99085\n27296 77165\n47575 88115\n40964 41843\n82509 95552\n42576 56873\n55178 97602\n7531 28307\n13056 25356\n22838 36201\n60930 82840\n35979 84689\n86721 90512\n21161 63393\n11779 23594\n23566 50652\n47497 52420\n59952 73470\n90763 98436\n99221 99545\n30158 76616\n36882 68759\n16053 89036\n64823 73348\n41458 93230\n35855 57165\n38566 81869\n8705 56711\n4888 52422\n65334 77188\n32041 70080\n43602 51519\n1756 48873\n39410 60028\n37248 96902\n9333 96490\n35384 59798\n15328 37570\n22771 55832\n23946 90937\n13944 98185\n23614 55669\n71116 88404\n53822 73008\n9217 25683\n14929 74091\n18024 44636\n2535 62845\n23635 56621\n12110 86977\n44950 67668\n24455 95889\n1636 22114\n22479 71856\n45667 82886\n74544 82295\n56417 64857\n6135 53258\n67663 83736\n37733 45552\n28153 58054\n8119 23408\n61877 79688\n20107 67646\n34726 99078\n2549 14786\n26742 56651\n32059 56047\n6820 71992\n18544 41738\n86599 97005\n29296 92246\n43342 54045\n35496 56468\n21041 38247\n98369 99222\n68719 92960\n51209 72589\n11412 65716\n17015 88054\n47774 73908\n41772 83282\n6361 81757\n35415 58281\n14688 43793\n17737 93365\n58176 99981\n6648 38749\n12210 49116\n97080 97697\n57894 71863\n13570 43100\n8000 21545\n68874 83383\n12910 75378\n9058 57005\n24999 35136\n14325 81936\n43578 84731\n59396 62358\n98853 98948\n44787 47301\n38985 70394\n53319 64499\n16142 40885\n33238 48263\n17924 47224\n52177 73266\n66784 86611\n48629 99050\n5395 49488\n52855 99529\n9703 96021\n36098 55561\n16661 88848\n15208 25690\n2134 36105\n55193 99688\n30211 91125\n49656 99921\n42023 61982\n40619 66843\n17893 46069\n13901 64868\n8415 59876\n84604 85164\n24081 46586\n88540 98408\n37568 62825\n61690 97030\n45305 79102\n69082 99538\n57384 67552\n6220 6334\n40140 75360\n34879 54555\n3218 85591\n71103 74354\n92383 94077\n9086 36456\n97539 98930\n44702 75556\n46779 78764\n18630 26593\n23517 39934\n29937 90919\n69717 75971\n41749 94579\n6199 81996\n34428 81861\n16787 56286\n29463 42141\n65839 80336\n38906 87279\n34093 46496\n38706 55448\n59610 60514\n18377 66515\n51869 85556\n4697 75318\n7699 17532\n77706 81623\n35439 43987\n1605 4922\n16585 73018\n17062 82368\n45917 83377\n4365 46193\n73688 98200\n77327 96339\n52548 67091\n38357 78232\n21958 86157\n21587 23140\n15229 43393\n23495 59454\n51601 81862\n11809 93684\n10188 34169\n32246 71300\n39858 73833\n44022 94480\n27233 86539\n3527 57162\n52032 94149\n91334 95087\n45376 62280\n56683 84200\n29878 34713\n47444 71257\n39177 63662\n4842 13031\n78511 80642\n35334 81188\n19179 19719\n3700 61738\n3637 71535\n55416 68912\n52529 56363\n49755 79139\n1195 71549\n67755 78856\n51247 92216\n42579 42831\n79490 98201\n11959 24090\n38006 39000\n37917 60341\n81112 83180\n68590 76603\n1103 93631\n2798 20435\n60083 60702\n30318 85394\n23325 63711\n5473 60271\n2917 35241\n33951 66981\n45325 48749\n31445 77749\n66420 96398\n42164 94365\n70934 91425\n65504 78974\n35584 53141\n6975 67830\n61808 72227\n12918 30544\n21945 77716\n46238 71802\n75321 92808\n51974 59193\n53736 78113\n5847 41327\n17668 42534\n30538 59276\n66201 83117\n38115 47242\n16838 52471\n31490 33688\n14155 32434\n3824 95442\n18515 42181\n29062 34138\n2298 4021\n13911 38694\n3136 93274\n6180 85574\n12570 85112\n22896 62264\n7145 57234\n23186 49526\n64661 96272\n81973 95837\n39720 56692\n37860 78262\n66971 87427\n53988 98830\n9117 52641\n25164 49739\n9003 22692\n66494 85230\n55505 96334\n6127 10951\n3191 49585\n6897 7841\n33351 72938\n55797 63304\n9977 46431\n47534 51250\n38061 53637\n48635 50150\n22834 40651\n543 60586\n17749 85567\n66514 92641\n42987 55642\n53215 56375\n70705 82553\n20821 62779\n50616 76759\n26075 77013\n63259 77107\n4215 65772\n32223 37580\n23869 72807\n9724 21096\n12416 71026\n5143 51193\n17829 22018\n20205 76569\n46145 99670\n6710 83387\n13859 85949\n25161 79570\n42141 62161\n33811 72227\n19124 49539\n68724 73776\n36762 64356\n41117 77565\n50813 99230\n10105 21831\n45952 70497\n63132 64364\n8117 79524\n15565 57197\n12584 57814\n28200 92177\n1030 57660\n56525 88112\n8604 57787\n3746 57370\n11620 16611\n12309 96641\n86244 87806\n6561 22247\n31041 50303\n10331 91158\n30365 96937\n33449 43463\n23025 56753\n53739 99058\n48909 71324\n26881 52380\n25684 80389\n8195 88377\n75571 87319\n44093 76681\n76487 90343\n10956 35081\n66524 98635\n13730 85307\n26697 43805\n9971 58753\n70106 86874\n10023 76562\n2415 27530\n44135 84437\n842 71091\n31883 39832\n50016 51771\n37274 39965\n26432 94052\n34572 48544\n59281 76336\n26881 59513\n29436 63839\n37764 69341\n40887 93255\n42058 67264\n9983 83286\n49054 73012\n6027 65866\n54946 59914\n6752 81456\n17796 50868\n21351 66891\n26526 95586\n569 22113\n11875 89216\n74287 82792\n52233 67185\n22017 84356\n17968 94086\n13555 16937\n9708 81439\n8284 80321\n24886 47330\n31956 60979\n78673 82805\n5198 59360\n73690 94029\n10257 45577\n13797 44124\n1948 62658\n46831 60701\n42087 48821\n42875 60841\n30565 81220\n11225 72918\n39587 49191\n39087 76893\n5825 81328\n33251 46237\n54005 90878\n3297 18900\n123 58713\n29665 93252\n15074 74230\n213 22016\n58188 63299\n91495 94840\n66036 76312\n13445 80989\n50262 66007\n6375 10365\n51718 76769\n71005 78385\n34108 84039\n49153 57150\n80179 83798\n33944 48201\n53045 95062\n22243 56431\n21904 58005\n9674 93853\n34976 61547\n20359 63840\n24451 58961\n86947 93612\n18311 35357\n26053 91218\n356 3707\n77180 83719\n47976 52604\n67360 95400\n12211 49506\n42942 59027\n41781 82707\n18264 65697\n63264 78111\n27271 43948\n55657 74984\n3882 17949\n72498 81371\n35475 89677\n23038 95695\n50482 70470\n15476 82971\n15680 31683\n3900 71001\n26964 73592\n12520 23059\n36390 43755\n29899 81930\n8346 89236\n58400 91276\n22019 93537\n79403 96810\n52104 78658\n23293 41891\n4076 82920\n70867 71693\n76754 76821\n10633 82184\n47607 83573\n11868 60453\n25109 76106\n2513 76640\n28784 40010\n66524 77234\n21338 31323\n20586 43550\n36810 62616\n37956 46176\n4981 75145\n23061 42955\n36924 95455\n11058 22674\n44390 46802\n24558 70950\n36489 89009\n54351 70273\n52198 85648\n45204 81004\n59275 89162\n55534 96295\n30955 33078\n411 38870\n38900 60848\n17714 45325\n28965 35637\n10614 32839\n22398 28969\n166 52004\n31870 88611\n64066 96389\n36678 77472\n9032 9416\n54334 66823\n25484 79818\n92030 94707\n18026 19695\n24478 86765\n21802 30760\n39014 57577\n8244 48221\n2944 60521\n89618 94665\n14952 72544\n83943 87888\n27478 56530\n68573 93302\n46948 68865\n317 79476\n93175 95081\n26199 65681\n53596 59073\n9317 38463\n19196 79050\n18700 20848\n58127 84565\n22296 77811\n23228 23668\n11190 25870\n85157 88682\n31436 91649\n21722 58569\n43281 81128\n29595 60104\n5702 63173\n8016 51170\n42180 70770\n13887 16982\n38959 63434\n21095 43183\n9873 60091\n22572 94521\n30133 87918\n24618 57703\n44821 66676\n32745 95224\n17470 23433\n14565 19866\n6587 91601\n39340 68670\n7640 64681\n52608 87812\n23317 95784\n19019 36798\n60089 90654\n31364 77165\n2398 70353\n49064 83382\n6340 58130\n90133 94727\n38998 60597\n53720 95468\n7834 96040\n8826 33957\n17449 98008\n46884 50539\n41390 74091\n7673 62308\n38803 95929\n41269 63104\n2736 29240\n33195 49799\n43954 54371\n22514 75414\n23506 62058\n39695 67540\n61766 82063\n12234 32170\n41412 62991\n30334 84899\n60862 93650\n1662 80551\n59497 80037\n12137 97473\n89247 92358\n24716 67440\n42489 48491\n77896 88831\n79638 91942\n15352 82970\n18562 45456\n8659 81910\n13127 58030\n20698 60182\n11840 22248\n3959 73996\n399 60723\n14272 61568\n27756 42831\n39984 53827\n21960 78680\n34644 55152\n11437 56639\n79983 98931\n217 77982\n25148 49321\n79099 81884\n22510 97828\n33956 67863\n71599 88531\n30186 57052\n33869 66677\n16601 90834\n250 47430\n12048 23373\n17001 47267\n59011 85875\n63448 68616\n61901 69902\n972 67056\n27012 83519\n43921 61716\n2614 87925\n60166 99049\n70323 90335\n60542 98362\n37591 97868\n13846 78930\n45061 76715\n37586 44681\n49763 74051\n36142 48178\n49137 56056\n6620 47938\n24430 63292\n23721 76169\n9175 20239\n36779 55613\n57431 57895\n7122 12110\n9966 42953\n37628 96049\n26887 55215\n25192 29714\n8788 48181\n56590 58491\n71389 84812\n38201 48656\n25574 98098\n24335 90517\n24360 99243\n39862 63297\n67300 96446\n1214 4328\n64884 85381\n29070 93348\n20779 51841\n62790 94451\n46526 51280\n4815 75363\n41582 67625\n31448 88065\n42995 54568\n63461 84497\n14994 99192\n81015 84459\n52628 95806\n79209 89036\n8628 27782\n14341 74683\n15545 91526\n56841 97481\n1762 49107\n5136 83372\n52607 96692\n603 53419\n40676 66390\n22694 41868\n20210 61771\n725 31699\n77560 97007\n60566 93736\n31143 39655\n17649 69752\n1321 7594\n9959 39190\n77583 78633\n20671 97348\n3817 70932\n30238 68501\n35456 48813\n17476 74728\n9517 16786\n2800 26513\n71396 76756\n13654 16236\n65873 78063\n43118 76775\n2246 44842\n42617 49536\n50155 65448\n24660 51453\n9428 93265\n59194 78210\n38046 89493\n26242 64122\n9247 29581\n35081 70348\n90495 98955\n55316 64517\n86022 86427\n76765 93577\n44131 63767\n29515 79828\n56059 94876\n32292 65044\n37514 50144\n6488 43755\n54775 59532\n39688 77544\n27561 73956\n62612 66901\n28082 34311\n40365 54362\n38833 45053\n49563 75282\n23242 46677\n9469 21404\n5738 85268\n8313 46994\n3319 7983\n46584 97452\n5698 59749\n80170 93882\n63069 82529\n19144 76150\n24687 62962\n40236 67816\n11845 98861\n70224 72696\n48241 50436\n27428 91774\n75501 95370\n12200 63000\n9026 61882\n31313 96801\n56062 72075\n67590 92300\n4924 47193\n8847 54925\n11825 52547\n4189 32386\n85594 96557\n10150 69542\n25710 64955\n5246 32277\n44773 86942\n15998 34566\n11218 34152\n12680 77175\n44148 87376\n18291 60273\n3666 37006\n18722 25083\n54129 84331\n40489 63388\n828 27377\n1793 44462\n30478 37907\n70327 92159\n75040 76819\n39960 52681\n22395 22954\n71873 81045\n64338 79600\n13288 58824\n37033 88377\n17209 92028\n4564 6147\n35179 93208\n74922 75674\n42807 49026\n34079 72535\n38362 72727\n5460 72868\n22858 26953\n54946 86288\n49591 60647\n68903 79603\n48921 54958\n82755 99805\n907 16254\n21195 35483\n50945 68341\n36520 96966\n15060 41037\n1191 80624\n9339 81740\n28123 90837\n59138 60964\n21077 38773\n24602 97170\n58562 72941\n30051 98925\n72097 93116\n32390 44059\n48087 88692\n20518 94396\n1564 35333\n36490 83134\n90341 99567\n9294 85231\n69193 91856\n38020 63378\n339 12055\n49463 70106\n64785 94184\n59795 62049\n60528 88946\n59723 60226\n43740 87588\n20043 84669\n5799 30818\n50941 76618\n69946 82926\n49150 69896\n74503 93293\n63 13614\n17017 64323\n2679 32369\n36264 45066\n468 56142\n25408 44433\n19781 27452\n40552 46733\n66777 97156\n31537 36651\n60304 97073\n53893 56047\n10556 34561\n18851 40334\n90950 93024\n24752 74301\n33887 48252\n27219 71940\n15545 28747\n63552 93904\n10975 32976\n8663 44449\n18515 84820\n23430 54938\n7248 55540\n41835 73649\n43600 96849\n24756 56460\n29386 77104\n55848 79578\n43276 91651\n10538 39393\n50688 75475\n16142 99589\n33556 38277\n38354 47843\n34719 51785\n6841 27667\n57364 65427\n73287 80887\n27431 95346\n66319 68318\n74351 99680\n44848 49836\n6225 44273\n80675 99006\n5715 7012\n70546 71297\n25380 80366\n33233 61349\n7551 95515\n58634 92223\n27113 79434\n38597 94980\n19420 43867\n87613 94419\n9237 75718\n52572 54570\n5393 99948\n89159 99011\n9283 87111\n2396 11697\n20249 61107\n12347 78092\n60075 83914\n82390 90692\n30364 58467\n64585 77544\n54810 91545\n11687 97859\n31164 88086\n82955 85307\n61431 82037\n43481 87163\n49454 99895\n32513 75413\n12291 57933\n16859 53106\n40468 96884\n3967 93905\n69104 91729\n51198 53721\n2355 5051\n10721 47528\n33197 73426\n22104 68003\n29366 62746\n24347 71598\n6495 55564\n9829 88333\n59174 61155\n51131 62623\n21864 31319\n74441 80855\n25300 53252\n12019 78992\n14699 90101\n46464 98205\n67239 82027\n33523 83713\n40910 83398\n69645 92771\n11469 38741\n15839 40220\n37495 59314\n34033 60147\n19190 74183\n89643 92565\n3721 31634\n30064 91828\n10564 74846\n24329 29100\n9623 76066\n43221 80533\n11709 70446\n2417 68328\n1708 17494\n23748 58488\n33993 34393\n71637 74319\n22947 76663\n73293 98631\n25873 39698\n37233 83868\n48447 59167\n54292 98360\n43799 52337\n37459 51213\n32131 35462\n4253 56354\n39583 71826\n30934 32217\n58934 87294\n25129 71712\n12065 98009\n14130 72815\n84213 98915\n36185 96818\n86468 86613\n35924 50100\n60104 68448\n76676 89930\n72612 75774\n22153 34112\n14016 80047\n478 61237\n10422 14369\n70363 85578\n4444 70699\n89262 95549\n15507 76064\n35259 73832\n22951 30295\n34867 47504\n30315 58885\n43519 72039\n57014 97275\n8513 15875\n16760 85507\n6283 96857\n53475 57498\n20154 74678\n27295 46636\n30678 42326\n43106 55255\n27267 58858\n24504 58809\n60266 64527\n36479 37621\n585 74619\n40972 95980\n35565 76689\n24811 76689\n25485 99307\n17222 89924\n91941 98238\n7652 48602\n40938 83760\n29306 47362\n7260 7758\n52553 73987\n46199 55276\n20257 50212\n81671 91912\n70677 98510\n11995 66796\n3869 15238\n22449 41103\n18426 80894\n40227 78482\n23036 99626\n86560 97080\n34248 78816\n14827 24366\n35290 67527\n35731 94600\n22532 58900\n25155 30869\n49536 96811\n27540 47798\n13904 42443\n23496 93324\n3907 31468\n2061 33794\n44807 93326\n70286 73182\n27457 74338\n25232 97753\n34267 46220\n920 92390\n47383 72273\n11662 52036\n85290 88916\n80821 94944\n1185 32024\n15802 56261\n22049 32552\n53409 74743\n61075 87491\n76207 81689\n39152 49775\n41162 69405\n12602 42329\n19485 48200\n86209 90578\n77072 94270\n38492 54316\n7637 75504\n12100 70057\n47920 86807\n1065 4586\n3241 42459\n50973 74880\n30499 56894\n18886 97011\n18988 51407\n11504 14227\n79244 85436\n38530 80392\n6907 77902\n31504 91425\n18537 82172\n14913 35532\n39308 68583\n23107 82650\n56052 85523\n16895 22710\n34562 50458\n77006 84163\n37201 89996\n8520 10431\n66164 91753\n87753 98790\n13866 26986\n25286 94932\n36218 82325\n42689 62027\n7312 96707\n10036 18393\n47166 80923\n3782 27004\n56793 63021\n60978 71601\n72656 81762\n31277 52213\n18790 19639\n11582 83482\n71139 72511\n36728 39478\n12133 37886\n41045 42480\n89150 98258\n47566 89016\n32894 94917\n11984 42563\n28959 77388\n13849 41919\n51558 94176\n48251 69163\n16324 79175\n23157 67066\n60837 85144\n26368 41126\n43988 57672\n8027 49245\n38192 53594\n32293 56472\n1447 51723\n7970 94696\n38886 91567\n48013 59381\n65528 81379\n53812 83417\n117 58744\n38468 82051\n26147 82110\n19905 33691\n4609 76264\n3215 32847\n49610 77006\n34909 87957\n17258 24220\n5501 80889\n10104 62482\n72030 84611\n1609 97535\n57710 58354\n31353 99091\n5152 25219\n14571 21697\n8883 68996\n37864 78632\n24067 55987\n32419 51467\n43601 90995\n48479 85797\n13412 57190\n53031 55226\n20455 37106\n56514 87243\n14318 15511\n28270 33799\n17340 88979\n68808 89445\n29573 91864\n35332 67922\n9856 40991\n58807 99585\n9932 34875\n4723 85835\n42036 82019\n45502 75910\n28156 91680\n69335 98690\n22344 95914\n80841 99797\n4536 67290\n85316 95476\n64929 78989\n11262 82698\n25343 96951\n4977 49599\n57471 80956\n9535 92261\n43267 47668\n22608 84338\n26865 47567\n17360 65831\n27129 90780\n9601 72099\n16672 37142\n64667 88002\n38901 99689\n51721 63571\n17133 88603\n27900 34444\n16928 41422\n48381 56856\n37667 97893\n17049 20720\n51552 82291\n52361 62581\n20951 21307\n5489 77117\n67917 88018\n39358 53372\n45667 48187\n40012 73497\n15366 80513\n19800 22993\n77402 89015\n725 50527\n8925 63991\n20226 90615\n27922 53003\n5072 43457\n24071 82419\n7002 27389\n75069 93575\n61187 72018\n475 40226\n14341 77240\n51616 77335\n3887 33424\n1253 76857\n3152 33182\n59620 61926\n47732 70786\n15981 90424\n42114 81402\n34190 95199\n8719 98942\n43895 52664\n27885 92894\n65888 81947\n16572 95177\n10964 86875\n37668 86074\n55721 59188\n28884 73100\n24839 51919\n30658 31194\n1893 26535\n9573 69465\n9816 50160\n10386 36555\n29860 96554\n27205 97328\n4744 7655\n41823 65638\n72686 98831\n18152 95247\n7081 30446\n57549 59828\n30193 33939\n82812 86603\n59678 75287\n40231 49722\n63154 83352\n7707 99231\n18201 43079\n68281 91996\n51456 61397\n26939 67130\n57476 58548\n81931 87304\n30218 47271\n84169 95734\n55008 82184\n31250 77560\n6816 58344\n13804 29459\n19432 29660\n15479 71812\n45622 59835\n51481 60787\n23330 23524\n8370 61676\n36720 50731\n32296 33344\n808 24356\n16879 81474\n1130 25687\n40621 92353\n18165 47693\n21412 72009\n54504 94960\n46003 48299\n27105 55688\n37316 67034\n34745 87370\n60186 81936\n17171 64105\n24119 42770\n19697 68988\n21413 21956\n92991 94659\n1859 52747\n82727 85939\n6446 52208\n14237 74462\n83393 92601\n55649 67215\n37119 91116\n63091 84922\n48064 84285\n49384 80504\n46802 63639\n6593 56820\n29011 98771\n71729 82717\n31501 52849\n25740 77228\n88653 92928\n38997 84500\n42895 83514\n36144 73905\n17011 31134\n21281 92050\n7730 40460\n53234 67615\n21042 57985\n77173 81136\n61134 63464\n32452 50134\n3562 29900\n14086 40331\n34895 58813\n40240 73386\n38940 62942\n16693 84708\n5440 61186\n5288 37544\n31385 50906\n20156 33394\n28904 41844\n17080 82988\n76843 88923\n6532 31482\n571 69539\n43502 95528\n16735 54616\n13727 48025\n21578 78267\n41705 65808\n36783 79270\n20591 66881\n91 22542\n57669 71349\n85043 87997\n1327 37973\n10586 26677\n70265 73044\n77673 99908\n9672 37168\n30759 35770\n81864 94916\n28734 64388\n5462 56429\n53307 54043\n80961 89948\n25807 79200\n12397 37449\n28832 99508\n40557 59115\n61898 68007\n87338 98234\n80493 87642\n80381 87539\n55494 69690\n35871 64236\n47234 85555\n19377 79706\n57663 99861\n46190 81200\n42655 89805\n4993 85099\n22410 38612\n67389 79608\n7886 74178\n39917 73208\n59524 97976\n43802 49161\n67205 75061\n7096 88524\n7186 63869\n42712 55311\n16096 89267\n51793 91875\n43075 90788\n67942 87700\n65242 78230\n32493 69466\n33696 43935\n7386 12876\n20309 69122\n32803 34527\n16250 54741\n22140 82945\n53655 67361\n57924 63647\n12834 99290\n9904 46087\n23923 53514\n25825 71810\n65171 65691\n52961 71218\n30057 97349\n8372 54768\n5520 73130\n47298 90643\n6834 92911\n26986 58629\n16572 88796\n11382 89626\n12876 31540\n16225 36091\n14290 47014\n9516 19980\n14129 81425\n31134 41065\n250 79354\n21695 83446\n15527 35780\n39078 42713\n8423 40369\n79754 93615\n31952 98552\n29645 73330\n22648 36347\n52978 61563\n89269 96376\n37789 51417\n38219 40854\n68456 84520\n26304 34259\n47815 60312\n8919 62371\n43947 64903\n11763 81492\n25940 57140\n19251 81679\n19968 53820\n6649 31033\n10196 43227\n73792 78081\n24810 49273\n24246 64283\n21127 38040\n6116 38403\n17262 82084\n41561 78980\n15629 31990\n73903 79836\n1602 69885\n7697 21301\n8430 98261\n36492 67451\n15771 63480\n10109 61705\n48509 66243\n29327 46007\n53170 99186\n79596 86667\n38785 96013\n40902 89371\n29671 57934\n63801 70505\n44104 96316\n23737 26657\n26641 28741\n39615 93533\n83653 86630\n18400 84132\n49967 69426\n18249 64724\n81398 94124\n26932 67084\n26886 62176\n19707 64798\n424 90714\n37989 95987\n39190 41263\n12397 39626\n7747 86803\n69994 70291\n3573 4810\n50701 93384\n77108 94190\n35912 45119\n64361 75639\n1094 97857\n21860 65371\n22441 39567\n70133 82001\n28669 78053\n1877 59788\n6828 84659\n8800 74383\n31537 61555\n38457 79201\n12314 44678\n43112 85546\n24080 54197\n11581 25330\n13310 59192\n61723 74152\n25130 70634\n39277 86286\n77162 84273\n25702 66662\n31821 82450\n61089 72197\n9615 30448\n4256 85844\n55053 70468\n79370 82197\n15208 30365\n5203 34176\n52267 72491\n58655 81595\n92601 93235\n16257 19554\n15034 72304\n23984 96857\n23816 32634\n22374 71037\n25325 40427\n53054 92179\n14472 16932\n20680 85548\n72281 78486\n5647 37901\n19145 82351\n26661 29546\n21922 86932\n13056 77513\n43758 58390\n1260 35583\n9364 63515\n39541 65267\n38 20318\n14740 88995\n5612 72249\n39395 86287\n2789 12732\n21591 45167\n79493 95402\n8054 30175\n19436 58260\n29558 56338\n38350 75437\n6316 14945\n6227 13128\n43496 59202\n36773 92750\n294 72494\n34788 63753\n40457 67518\n66115 90685\n13504 26292\n21707 58274\n2019 45064\n67468 87617\n6047 76276\n21005 85641\n60480 91958\n25365 66871\n27872 40466\n15561 74565\n30757 94328\n17573 32791\n18180 26099\n68316 83577\n35161 64983\n5121 16801\n11584 97401\n71473 88622\n10758 64899\n63230 92590\n48748 62555\n8041 87138\n33710 99698\n37684 85555\n36808 53213\n18780 52036\n47596 56606\n15185 38971\n4156 42245\n11672 74653\n41411 95156\n72882 79274\n14834 52084\n25000 44173\n38243 59447\n9672 51371\n53936 98531\n3697 79651\n32033 77976\n4689 39473\n59686 65141\n70832 82347\n7731 16676\n17391 61059\n4034 48889\n54120 69725\n50987 62856\n964 79311\n5681 43619\n42796 89833\n35483 83809\n15184 40606\n2632 52100\n42676 76797\n10916 15324\n29394 75271\n5998 42412\n76512 81200\n22960 89298\n21539 34738\n30901 58620\n55338 67611\n15959 77304\n21632 68400\n26402 33647\n4737 25257\n65407 78967\n4683 36722\n79047 86863\n8451 91675\n44010 55187\n71154 81717\n55986 69802\n22985 86875\n26023 90930\n69007 89225\n33592 61847\n31472 84403\n20678 96987\n1073 78738\n41965 98134\n42211 93706\n76796 98024\n20482 28301\n3352 77505\n29749 38145\n31105 57425\n70304 91706\n18790 53968\n5041 74871\n7003 17309\n25112 94098\n40937 52799\n41128 79267\n47361 49017\n85432 95597\n64743 69022\n6976 74199\n21227 36808\n50777 93499\n56130 83250\n27400 78949\n19877 69840\n13734 37394\n7793 58997\n15825 98923\n66644 87292\n70026 94401\n10299 83348\n37688 94330\n55078 63594\n48227 90486\n3675 14729\n5606 52158\n29360 77671\n32248 57460\n60023 73315\n20491 55534\n4082 40419\n29059 84762\n64094 66387\n68653 73693\n92083 94566\n49875 88598\n73649 84362\n15391 53301\n26403 94278\n16654 84544\n21999 97865\n81241 88958\n509 62463\n8752 32668\n17819 17856\n27673 65677\n2341 57716\n42483 75474\n30444 63215\n24174 32988\n19379 82568\n58511 73280\n16547 27529\n55778 68274\n17131 70763\n68076 78829\n11173 61171\n61033 78137\n21709 38186\n5414 74505\n60801 62891\n9346 51377\n34543 36337\n62407 98772\n20035 62803\n70466 78745\n11854 36198\n16811 77210\n79636 92616\n16865 30481\n57317 71587\n3966 61688\n42509 77358\n35145 78144\n24325 51899\n23343 36017\n39056 53738\n70917 93659\n75518 86078\n43726 94133\n47941 59626\n16366 94386\n60480 63278\n40343 85065\n37530 61894\n80318 81742\n23530 96489\n31031 70845\n27372 42820\n17169 68290\n24599 31340\n58467 71795\n59655 80821\n49196 86756\n58677 87476\n16821 52470\n23346 85860\n58363 61821\n56766 71531\n24926 55836\n24799 78620\n4968 44797\n76981 85467\n40297 78802\n22902 99512\n74904 80450\n69892 87407\n37025 53673\n89850 98098\n70966 99351\n16919 35060\n36819 96774\n31721 83333\n27885 41303\n20796 83691\n20360 22227\n3469 30529\n11981 25366\n42553 65500\n5169 21826\n51057 59251\n7376 19988\n6121 61674\n23281 36653\n10191 72377\n31348 63836\n72958 93660\n16319 97397\n7961 88074\n70056 98378\n39707 61133\n44821 97781\n60454 86246\n48049 99963\n24420 42065\n29563 73049\n31160 70804\n78557 94653\n65258 85411\n61335 81150\n39628 66737\n48294 52540\n26990 91224\n37771 77338\n40949 90681\n35843 47225\n70773 90162\n11658 66764\n43623 81347\n31252 40818\n43116 52481\n44271 70686\n5508 10282\n3292 47940\n7507 52067\n26947 47305\n2354 47790\n8445 46861\n1787 7973\n35057 50554\n66997 96794\n36247 96445\n8305 63798\n26003 95463\n61256 68584\n27511 40966\n75982 80103\n10912 34424\n31524 40086\n85194 97910\n53645 87424\n27565 73442\n84969 95337\n49096 73185\n18622 34461\n69853 91539\n27087 88294\n51189 54330\n29298 93047\n48877 68500\n477 21898\n12093 31310\n74041 97967\n14259 63278\n40147 80302\n15872 58376\n22742 72119\n24357 27334\n30717 59311\n4450 89978\n88472 95523\n64375 89380\n14745 92497\n89524 97360\n45651 49323\n9067 52141\n29715 99552\n53984 68877\n28677 57472\n45425 58853\n16509 17817\n3355 18611\n45827 47827\n23267 49257\n27115 34385\n27826 36759\n47220 95702\n17317 43790\n56809 61950\n62014 90856\n26718 36707\n46253 99360\n87996 94853\n31436 98453\n64323 94176\n9895 93311\n77686 78365\n5609 41568\n11547 96035\n45122 85436\n38591 67549\n21787 76418\n30535 97293\n12792 51419\n21597 62636\n52886 57939\n53698 56140\n3373 14213\n4548 38277\n68933 80178\n46805 71712\n41208 75162\n63080 77027\n7497 46315\n45488 57461\n49509 97535\n50319 75737\n32044 87570\n48904 51158\n31484 53180\n50803 80485\n9360 21212\n29490 43709\n67324 84229\n83977 85843\n43824 94293\n46352 75246\n44079 58095\n8999 55538\n10726 15477\n33543 52909\n19656 68723\n53672 62435\n25989 39011\n43348 53739\n20260 21050\n27807 70902\n66636 75637\n18957 90274\n9011 23568\n75745 75884\n19256 86712\n3053 79602\n43377 75202\n82075 90855\n66567 79199\n11345 90402\n39741 75040\n24568 92868\n35090 49887\n28359 54498\n49039 97677\n31279 52902\n53402 98301\n13166 40107\n28760 60965\n12931 51927\n22462 33264\n22235 43557\n27423 45288\n14336 76864\n25000 30966\n4124 93629\n30811 68979\n50578 89292\n37677 86290\n15888 41099\n11637 96506\n11050 73432\n37871 53948\n67402 86928\n20507 43420\n67430 71005\n26039 48789\n66530 83163\n46915 77174\n37977 73324\n69312 83437\n36791 68725\n7648 9353\n43817 69615\n20278 71191\n8342 96212\n6887 55766\n27060 32315\n96653 98932\n188 54439\n20947 40391\n22780 64357\n874 53513\n19853 91573\n42391 71012\n403 23720\n16909 55291\n51169 74781\n2377 59652\n38254 73352\n2914 31016\n728 50018\n52372 93531\n9599 74736\n7938 68330\n45882 63364\n47009 86750\n4253 92083\n27185 96488\n91573 97627\n34281 63803\n34915 65827\n1965 65461\n16867 68400\n24382 67380\n23225 23294\n72300 91899\n28226 98470\n2157 52671\n46569 89598\n300 96232\n60492 97183\n38255 99223\n2325 46835\n74281 78304\n39623 43717\n13628 78253\n69414 95371\n61451 70865\n55056 68256\n6104 43562\n2338 92200\n69122 80821\n34459 77869\n47940 70501\n37462 76389\n29362 44342\n11620 15879\n25223 61463\n39053 56039\n19659 81359\n34167 58658\n59084 77579\n22406 32150\n87506 96878\n41630 50737\n87154 95373\n13537 16075\n597 1152\n43036 88002\n44553 96498\n8850 69757\n14643 47309\n20666 35407\n58714 90499\n16479 63618\n57026 61047\n44539 83457\n28540 41147\n4098 32704\n12602 32558\n14020 32239\n72372 76961\n25345 97598\n20843 97076\n35364 82893\n59888 86017\n17121 95629\n12638 12757\n30294 70694\n43146 45931\n53414 96851\n31119 58044\n2830 76563\n70130 73715\n14785 75393\n25939 99770\n81265 91462\n35364 51474\n69646 71828\n10027 15716\n16213 73965\n10438 82846\n8973 85073\n46781 85304\n14264 37694\n2007 56176\n48089 79889\n29245 88802\n3048 22684\n57705 72605\n9166 69829\n36590 65175\n21715 50673\n6295 7663\n46117 91737\n24468 65242\n23855 80789\n28797 80425\n43474 55578\n5592 45732\n9548 71869\n61423 80380\n25764 77642\n31520 42065\n38725 65586\n1969 5269\n68112 96071\n978 40355\n28690 88626\n2721 81073\n3098 34061\n25230 81784\n34163 89981\n71832 87358\n5227 12693\n73773 88128\n11099 52156\n77150 85658\n28324 34296\n2997 5230\n41247 58891\n27111 35294\n4745 90799\n39836 90809\n35226 62295\n18815 78359\n154 48921\n47171 99008\n29612 34081\n2729 82149\n35767 99497\n40380 46047\n15403 25368\n37584 46963\n38183 55980\n71210 92742\n56020 81664\n35121 74075\n22227 36539\n18380 49729\n65190 93078\n54418 56565\n45090 64897\n19104 47683\n51091 59663\n26302 59059\n43880 49448\n49519 67564\n77581 81184\n49032 57911\n27502 50807\n21452 32603\n59289 69907\n41598 96373\n34758 92343\n64161 96210\n4231 37242\n55359 86538\n78912 82180\n6558 95006\n39318 88181\n51421 75639\n159 71812\n58897 80424\n64874 76830\n62387 78430\n8566 87526\n68746 82349\n17728 67328\n2327 36019\n37714 93019\n55552 95734\n34314 88837\n20493 71919\n35729 88108\n8430 25314\n36427 53205\n56944 90099\n46392 73419\n64662 94224\n865 81040\n11808 89992\n54191 92911\n12822 78256\n14065 18926\n16477 33014\n23676 78774\n17719 70908\n56774 74701\n52768 58109\n16123 58416\n38036 49222\n26326 53523\n82221 84318\n41157 70608\n11441 22733\n17647 78764\n57156 82284\n23569 73168\n53138 98325\n32526 53663\n6202 89482\n35630 64295\n59252 76652\n31195 96072\n55836 63634\n488 88719\n26657 92828\n5813 73161\n43112 54247\n57927 76597\n58478 58878\n6660 33944\n80594 87573\n47492 50863\n18308 82819\n11639 13831\n38310 80409\n27199 85884\n54122 74119\n16416 26835\n12237 82857\n1037 49887\n6118 27360\n44240 74197\n57114 58350\n72528 75643\n78349 90393\n43081 62070\n54041 96989\n21030 41048\n11065 98821\n34561 40983\n34607 95533\n3605 45963\n63465 89264\n48109 58404\n2512 54041\n18813 57375\n5162 98296\n65480 88936\n49065 80116\n4522 44187\n49181 70042\n63137 63924\n31674 86112\n13377 49690\n43330 52035\n5013 44584\n2750 90915\n59876 74938\n50417 56057\n2884 77541\n60418 82114\n59665 91822\n15541 55479\n41777 56691\n51715 90640\n46570 95992\n59566 75790\n33023 47376\n30959 61672\n2609 14345\n3895 41131\n26034 45817\n13209 84966\n15352 44646\n63412 91325\n8553 59292\n83723 97254\n32150 83183\n58907 80307\n3635 68037\n43586 69451\n40298 80252\n22665 87987\n69595 87709\n10981 65024\n55122 75971\n4310 19953\n50768 77705\n11486 34216\n46036 54443\n8134 41070\n49879 80381\n22018 48566\n63674 71489\n4466 54622\n74601 82418\n33617 91985\n14950 43529\n42360 67014\n31570 53491\n53550 91252\n21010 48584\n7856 51689\n14078 70879\n54866 55696\n15792 51494\n71011 88466\n10298 63503\n2680 58797\n23692 28965\n24201 65063\n40851 41102\n82263 95361\n38581 51286\n75228 75527\n19745 53340\n10387 98521\n48793 68099\n2041 16676\n48420 85888\n33087 45039\n13014 43982\n29286 36649\n10672 13567\n31029 91358\n1799 53762\n7215 14881\n20400 98627\n9581 63345\n23555 44062\n11745 86143\n44122 86876\n11012 60317\n17091 22566\n15222 30032\n160 8581\n70642 80330\n78415 94635\n96540 97237\n59036 87649\n78658 89914\n82964 98426\n35713 45271\n19628 76888\n43907 72775\n20911 69876\n31495 39271\n22462 99824\n10143 70424\n17235 54021\n81294 97278\n18766 60670\n29941 37568\n36828 39139\n29825 88383\n80946 88748\n16700 80619\n68776 98304\n21320 83129\n16148 60141\n75056 90126\n13978 86794\n75043 75378\n11558 19868\n9767 73213\n18513 87302\n24433 82700\n4142 89658\n43024 74914\n48356 68829\n4170 66522\n3710 86703\n28115 97533\n32676 90686\n10770 54929\n15426 35720\n6704 71308\n79094 91699\n7424 59910\n23944 53722\n52575 98262\n44406 91922\n54368 92597\n4052 99467\n15635 69960\n63485 78716\n24550 44930\n13340 44663\n12429 99319\n13040 82484\n49213 64555\n3210 86719\n26630 53722\n4320 30772\n82145 88641\n24251 79374\n15795 77312\n58998 85604\n6583 54664\n73135 89676\n27914 45103\n24883 97854\n54275 97271\n57829 68076\n53249 53289\n71706 73187\n65248 84069\n35880 59089\n41251 41657\n71279 93305\n44814 66823\n60067 73425\n13267 27223\n24450 51908\n56591 69369\n60591 72085\n16168 85169\n59710 99982\n57489 75685\n72953 88301\n7847 31609\n34971 45715\n14095 20072\n6320 85081\n670 39524\n35029 97232\n30613 67598\n6220 15055\n18032 28743\n3718 58126\n26660 67846\n10335 60733\n19627 28782\n63570 77302\n64743 99438\n74482 95936\n12223 85679\n53277 69499\n23431 65215\n28984 73549\n7251 35007\n66233 82936\n33777 99788\n31810 52737\n2888 34608\n17079 43231\n43347 66612\n32669 72892\n12054 35012\n63636 90244\n10232 77307\n36354 57170\n45090 90225\n6952 97266\n15522 64169\n23724 82222\n43026 82637\n3604 57668\n63723 71047\n21608 90730\n76730 83759\n31535 72499\n45388 71514\n15031 94476\n16109 32562\n71552 73566\n599 19389\n9867 36219\n9613 57302\n29771 82592\n27482 85674\n10759 50703\n70047 85526\n67923 76200\n24614 73751\n65546 66335\n53740 94916\n64064 96757\n55671 91690\n92568 97022\n15948 87622\n58210 76016\n41108 90335\n39728 55461\n33068 99171\n57668 63053\n20102 46704\n19168 44575\n22920 33485\n66725 91106\n22168 38780\n93858 98670\n39042 70665\n13532 30907\n80938 98215\n12540 16869\n49214 51725\n54784 74843\n1649 18087\n35820 87785\n3409 85814\n18553 53762\n60853 75574\n13229 65624\n44267 82498\n35755 52274\n14608 27929\n8165 81403\n5350 44005\n36065 55033\n39995 40725\n56506 65101\n44000 92927\n27497 64735\n15708 87917\n18928 26283\n44817 54254\n60657 77389\n47474 98231\n32175 62390\n68439 85774\n27996 57759\n29627 70714\n32446 96117\n71640 89669\n33798 80219\n14589 19765\n49100 67001\n6499 84122\n76125 85687\n56650 97691\n16528 18996\n4244 58382\n2737 75530\n61976 99802\n9354 42488\n19115 90692\n31085 38177\n22145 53349\n37201 38554\n46780 67570\n2001 19568\n53917 81408\n33952 92105\n7913 67984\n43372 71856\n21206 50726\n69004 76051\n55488 66434\n1263 62753\n60314 80877\n16420 26267\n44015 99168\n19000 91347\n11188 88629\n57449 83142\n23775 87376\n4904 93973\n24375 92913\n1818 96014\n1166 45064\n38444 83856\n31750 48653\n44135 96835\n11193 85270\n8824 61262\n59062 88814\n4597 16674\n6441 71817\n31501 52619\n36086 96791\n65669 77313\n21521 82042\n41206 42992\n37402 73993\n9334 14095\n74201 93697\n2402 54038\n13220 82075\n6526 99053\n88892 91009\n30356 59921\n28689 32088\n3576 68640\n24444 54644\n23787 23984\n44432 65049\n47492 65151\n5123 18265\n57264 95483\n30590 54497\n31131 43953\n49679 50460\n955 24238\n21821 76337\n3091 9389\n32246 50691\n2321 4070\n51386 77403\n22473 73081\n814 21448\n39440 54406\n28085 52000\n21480 35657\n32799 40273\n33351 48939\n20589 77392\n33102 62999\n47687 56111\n9368 23323\n33856 98478\n5256 94887\n18069 77513\n69471 82124\n16561 70525\n23342 65844\n50005 59633\n30203 43577\n15772 67457\n85787 88876\n35075 59110\n85368 97751\n20421 33451\n26856 77824\n15831 45152\n28290 31712\n39564 60856\n17870 83150\n13393 23525\n50122 82115\n24979 36955\n21836 32798\n43510 89249\n46435 85327\n25415 73834\n21469 95887\n62150 97623\n25507 38452\n1441 5949\n13486 28676\n16579 43818\n5897 88187\n1198 86194\n444 71308\n11368 99800\n42669 97288\n65208 93964\n33448 95721\n8201 14605\n175 4212\n52022 82479\n66209 71403\n26997 39415\n24759 96582\n56480 72495\n45229 69163\n7685 60768\n2179 41234\n38583 60103\n1970 56023\n23722 63865\n63257 92280\n59077 72101\n14825 60392\n90992 94006\n11532 26434\n28840 84473\n49747 79339\n11388 87308\n44219 71194\n2404 55949\n47656 76901\n12305 99549\n4340 94616\n17963 64943\n58396 82285\n11178 87870\n28222 64212\n18864 82014\n44946 86907\n54842 60522\n19685 49286\n971 6907\n26629 30388\n38552 67614\n25271 67541\n4949 31313\n65510 78049\n18387 76295\n54895 91716\n20097 49985\n74246 81098\n4067 66003\n5912 60891\n37204 85364\n10233 82482\n35666 99104\n31820 92350\n6218 98782\n23784 84214\n23776 93953\n24570 67977\n2779 85421\n2836 55469\n61535 66097\n31371 64340\n23610 52893\n769 32139\n24383 25528\n37474 58189\n52146 81977\n42496 59818\n6444 70040\n20986 60742\n13026 74729\n13 29780\n7106 46792\n29565 49617\n81169 96898\n47920 56356\n40606 42437\n72433 86411\n55311 64709\n28505 50770\n57440 79417\n28176 32432\n8837 90604\n23815 52053\n38103 81568\n50671 70744\n84877 89218\n1215 83653\n72935 81106\n12639 13347\n52588 80989\n56225 66131\n71282 83261\n10921 73896\n6161 23556\n22177 81678\n10992 47570\n32506 53151\n746 27272\n21841 66575\n46942 95629\n2756 52074\n85176 89705\n6103 18351\n85183 96822\n6627 30350\n64806 79256\n29625 88238\n14435 48043\n9807 60956\n9405 85801\n6673 44487\n29807 67852\n63084 90040\n7047 80400\n17104 89830\n79119 97337\n59979 62146\n28356 32723\n70835 86652\n31057 85383\n32493 57387\n3914 87037\n28417 82986\n39864 51951\n51760 82980\n60194 61705\n21915 65170\n25566 95640\n1852 62637\n49991 93518\n38145 95425\n30090 66753\n6230 20526\n25972 92995\n6300 27462\n31325 88865\n12176 60478\n26709 83388\n54537 89706\n34956 75894\n52334 74822\n9841 38995\n70247 71368\n20609 97938\n32562 83505\n33754 46251\n51458 81153\n4942 55172\n23433 28488\n33182 68627\n47032 53042\n10984 83402\n38217 71491\n17946 72831\n58444 68818\n64387 85461\n5868 25037\n29190 50653\n57886 62178\n74030 97177\n13667 54374\n5791 33572\n19400 20593\n19901 34760\n43398 76724\n39002 64972\n24702 95152\n16415 36186\n41593 75527\n9674 73689\n31057 98590\n28840 81265\n59930 70949\n43984 94642\n559 27889\n38213 62215\n25609 66964\n34664 79799\n15435 30143\n9484 22981\n22333 47556\n52777 61101\n36167 47928\n28122 76297\n54583 72852\n54953 99545\n56143 74511\n32978 60118\n20265 62847\n49195 78667\n47328 57264\n36114 91339\n18242 90583\n10062 50649\n44423 90160\n13041 73630\n2854 20070\n7317 7416\n75408 91249\n25064 36588\n65059 99757\n4819 31584\n18235 49948\n15394 72782\n971 98498\n5236 55063\n12138 79706\n16710 77682\n68110 95495\n48456 64869\n20213 77149\n52608 60693\n42939 52336\n20094 83872\n27395 43736\n45983 93323\n60756 93942\n1305 11748\n13425 87870\n34192 82821\n15653 88404\n65384 97721\n84928 89931\n40121 65632\n1797 74205\n15662 72283\n65272 86973\n46553 90980\n14667 51587\n9126 54977\n65242 70507\n20255 21378\n14056 46723\n6803 99603\n27684 63029\n16068 23031\n59955 88642\n16407 61338\n28396 83412\n19745 62257\n21707 81186\n62660 78217\n22118 57059\n14915 33719\n41531 99934\n8218 77728\n350 22098\n56314 72071\n3810 97123\n5894 10494\n6955 14358\n46897 97539\n5486 62173\n6909 22800\n9117 39847\n35066 84494\n36335 55571\n54587 63102\n54258 57197\n24085 29579\n85059 93333\n40586 96374\n53090 68228\n21128 82855\n18905 80175\n88637 99061\n166 89942\n49603 73670\n16189 58033\n9008 13171\n65181 87789\n5112 56235\n65466 96042\n10486 54017\n3985 87629\n25649 68802\n86159 98718\n3147 93144\n60120 91294\n3249 55844\n20648 47333\n86696 92048\n21839 32672\n138 28461\n1169 47318\n81010 97127\n8143 34716\n50830 78338\n41681 72516\n3283 13826\n26421 52984\n43512 60343\n38718 81895\n60441 94645\n41756 69156\n12532 24774\n14909 52589\n19773 44205\n3173 28124\n35992 77083\n81627 83087\n1387 22501\n14517 41632\n30401 64813\n11011 88860\n29104 56252\n23627 47255\n15938 98769\n30005 72381\n37251 74023\n16595 80228\n21996 33274\n50813 78193\n38487 60409\n38218 99742\n5351 66188\n22105 79272\n49303 72750\n44754 79542\n44235 74475\n38021 53606\n13748 94916\n61542 70585\n44256 99954\n20578 75806\n13133 32460\n1130 16111\n56234 80839\n760 92345\n32329 85357\n39458 92224\n41926 52190\n7844 56450\n15433 65858\n48878 48881\n43234 87402\n76937 96462\n17403 35075\n79156 82766\n57234 71981\n64708 67941\n17821 97410\n3429 14487\n50504 83069\n52941 77991\n24874 30382\n44627 81257\n86988 99096\n54265 83228\n58923 85447\n28971 47264\n84197 98733\n5739 85667\n16948 65920\n15655 28057\n3791 71128\n12082 27739\n410 69720\n11890 71965\n715 43854\n75835 89593\n10866 30369\n44801 75229\n43502 97679\n10686 64550\n41382 76647\n43194 76097\n2093 13598\n10644 39236\n1413 58607\n2840 37260\n22467 56109\n42081 66687\n20021 35700\n43701 68756\n3142 63633\n82987 90741\n4919 70335\n3409 71102\n78284 89165\n30830 45868\n54655 96698\n8683 46755\n23139 94174\n51253 90888\n37197 87116\n38230 51260\n34245 55013\n16764 58654\n52427 77746\n1413 50378\n6186 81543\n42688 43014\n2789 36873\n34865 46258\n34943 58486\n20061 98844\n44693 48390\n83129 97467\n9913 38762\n93472 93571\n63086 90908\n9684 65384\n12087 65030\n59267 65734\n66005 75757\n46541 90635\n33395 58468\n58431 59622\n8371 27246\n37413 74686\n18158 38472\n16426 20784\n31494 32880\n18608 72431\n9226 47429\n8040 43570\n23637 70878\n36604 44032\n56628 87049\n7250 94092\n47356 51854\n76049 94329\n35374 36583\n17954 71977\n43964 86114\n38857 51687\n36220 51791\n23609 61527\n17436 65134\n7059 33190\n40169 44857\n59114 64881\n56427 94200\n24560 76162\n67958 78819\n38380 56021\n63484 67804\n35090 69123\n20917 49213\n24715 52247\n8776 55130\n2535 43249\n38862 59720\n4855 96303\n39616 80500\n63713 89237\n49346 95332\n49774 64922\n25157 33104\n16777 53134\n42894 86896\n46907 91789\n58715 85352\n33424 82144\n17630 37463\n56929 58796\n5217 71506\n71183 89256\n32352 46876\n77844 84416\n21472 86234\n8472 13239\n16009 79089\n1345 94183\n77695 81494\n32628 89975\n14953 95197\n8761 25004\n61804 82175\n32308 45913\n78610 81457\n85432 86512\n81122 81579\n9116 46479\n1849 96030\n54795 59570\n32190 60226\n14002 19756\n8643 80700\n40912 54478\n51878 53881\n4626 65586\n80409 93483\n30747 46937\n29628 78176\n1561 57457\n55295 59548\n68060 99001\n23795 85927\n53053 56669\n20444 56208\n17838 93553\n88488 90446\n2265 27535\n8375 98956\n46268 84461\n23415 85750\n40881 66451\n40190 83790\n8415 11742\n12721 74267\n48913 54758\n22628 23107\n26170 84281\n15355 83999\n15876 65448\n42648 66355\n66599 82340\n52099 93207\n2419 71164\n29607 79577\n22904 29329\n24463 58581\n53807 64072\n23939 75386\n1704 31955\n64209 66449\n38521 91783\n6129 42311\n48542 79234\n35791 60011\n14761 62529\n51100 74507\n752 63128\n10842 17683\n45105 53701\n66300 91152\n24095 66886\n49713 76421\n17559 59115\n57706 73670\n18220 43362\n14549 84187\n33755 69735\n46366 89318\n31419 51764\n14021 50600\n10126 88853\n7203 23953\n17961 94089\n33787 53818\n52462 82016\n9758 56334\n11144 60839\n74793 87643\n25086 42653\n17240 79080\n33114 92418\n27309 38702\n36231 52915\n45091 85627\n71955 94837\n30710 56049\n18821 58532\n23645 41496\n14342 83736\n43725 57544\n32925 95152\n11174 12978\n15819 84807\n66492 72501\n9723 17866\n29556 93070\n63590 83930\n47496 75781\n11544 83290\n9052 76613\n37655 38018\n60900 77123\n7624 95187\n56611 90805\n17156 76909\n46977 94825\n2196 44119\n49005 64447\n37689 50219\n58194 83974\n14439 35372\n29114 63517\n40030 70534\n16378 74058\n17553 85835\n5155 76254\n64152 68742\n21886 88549\n27874 53355\n46208 58534\n10107 70126\n14223 24562\n12336 42474\n54641 98565\n43956 71540\n26746 60914\n67635 82497\n1401 46278\n33094 54805\n28927 44029\n6930 85914\n15563 34439\n39557 74288\n17268 34474\n78407 88941\n43971 85777\n63155 90880\n29725 36531\n78543 80129\n30466 58214\n4279 23295\n86315 94913\n23926 51618\n51388 82818\n60963 86614\n13526 48568\n44270 97284\n3510 91729\n5200 19115\n90021 98864\n50929 97913\n4081 80894\n6122 40346\n6381 35609\n26190 57351\n4030 97580\n78679 91721\n5706 71476\n12521 65216\n79718 87787\n25693 43510\n3481 54378\n18533 34667\n16186 36807\n18581 61081\n37991 93917\n18846 53388\n5711 31965\n68847 98228\n4078 36154\n10604 23160\n70304 94778\n34281 57656\n70666 91699\n39230 82423\n22127 29674\n51590 81841\n54074 57915\n4249 40773\n19520 52592\n5930 49782\n29698 31427\n6567 19193\n32205 87589\n72722 81548\n57931 91110\n2905 38883\n31434 54764\n36241 80151\n39768 47535\n15550 74872\n4443 15985\n8252 17206\n78109 91493\n55230 94846\n6830 39763\n63649 65104\n16228 23485\n22786 46184\n26961 49380\n71485 77390\n52874 76539\n29932 36045\n3480 58670\n38269 51117\n30840 74640\n58249 78805\n51452 62671\n86687 95270\n69874 72805\n75059 88094\n84905 98055\n69768 93118\n54889 71045\n38259 66763\n81061 94129\n71740 88301\n7513 85782\n18108 42388\n64595 74639\n33923 79314\n29774 85335\n36301 68687\n30214 57200\n50446 67472\n50079 89362\n20855 31970\n42450 86941\n47112 89416\n5370 11462\n82012 87167\n69926 93560\n56026 62417\n21197 64662\n39404 99126\n29595 93981\n40881 73254\n8761 96408\n14084 34308\n1908 50063\n72 70853\n5425 82121\n40347 91861\n11295 18650\n39749 73438\n40911 65214\n12769 98625\n14170 85030\n50100 50499\n21879 50082\n9466 50216\n70534 93862\n35486 62066\n7080 50729\n55069 96239\n21287 50269\n7548 63222\n23564 61152\n75942 87773\n15777 80342\n53339 69278\n33166 73696\n83770 89577\n10595 96130\n54775 95078\n56968 98540\n20827 73215\n16298 59642\n7951 83733\n21302 80406\n4123 30518\n5436 91259\n412 55917\n36965 87576\n13223 40872\n11024 12719\n16240 37597\n42314 64629\n60323 73914\n63657 83473\n15471 54045\n81301 97511\n38255 90008\n21169 80595\n299 63376\n18643 41114\n85477 99940\n56926 68130\n15345 22057\n60543 66723\n9528 26694\n943 59268\n68681 94480\n18352 68425\n35409 57494\n48671 68808\n84067 85588\n6590 81883\n19870 45013\n22545 88309\n17340 57840\n35508 98807\n18220 29173\n28491 76922\n44461 76306\n41048 73349\n23271 56152\n3251 75328\n48080 77070\n25303 79400\n14038 55415\n42891 77528\n62051 74086\n64155 85630\n56881 96972\n11493 51424\n898 76118\n75742 99247\n13728 92456\n59059 66456\n30119 87795\n30475 39545\n77070 89277\n6509 30756\n55751 80173\n53433 55759\n43481 69943\n43151 98260\n5628 14611\n4875 89919\n4466 54664\n85217 90461\n39627 63991\n2846 29268\n7706 40876\n36654 44559\n22673 63212\n11368 35077\n48927 83683\n39636 91987\n28277 90495\n7854 11309\n19167 56468\n60021 74384\n38942 55848\n70894 99267\n24505 79267\n62409 94544\n8331 63708\n42945 98381\n6769 51134\n5701 47261\n47653 56868\n3348 12830\n31409 81229\n22740 55579\n20585 49508\n88506 96962\n27874 65580\n5480 31803\n92688 95458\n5137 66226\n70473 77048\n63888 80519\n31675 77545\n36970 59372\n20647 63865\n21125 58334\n16527 84590\n14938 19688\n58640 88235\n25623 58743\n19847 22109\n57075 74004\n46871 57578\n26517 69652\n54660 75299\n40352 48892\n60687 94454\n6904 12100\n1419 64164\n30415 37118\n5553 37129\n201 82943\n32639 39607\n58087 81102\n40132 97302\n12902 98160\n52844 94317\n90300 98943\n36207 58408\n29468 82448\n19028 72001\n6729 86532\n6234 84150\n36127 38782\n93043 97260\n17126 91776\n22708 49955\n20661 92393\n63484 88276\n19131 61138\n40018 85692\n1933 73717\n48597 66834\n28528 44490\n37819 74157\n2545 55629\n26875 47897\n39031 43828\n29246 54672\n49849 93315\n26241 30721\n19774 59739\n16045 50145\n43173 46780\n43646 93828\n20956 81829\n80452 95854\n24042 71742\n6780 75500\n45560 88128\n63189 66280\n77794 99643\n26587 53678\n58203 83505\n10277 93854\n22572 56334\n39147 71086\n35265 36770\n28103 31193\n29030 82135\n26219 51229\n29127 55759\n43049 69069\n51695 84239\n51947 74069\n21410 35657\n15378 85531\n52522 70675\n38760 58109\n16159 59423\n69754 89625\n18546 50236\n23319 47177\n45191 55956\n8544 47174\n30842 91144\n42162 69389\n2750 12355\n3418 22227\n20943 39559\n32822 38901\n39256 85392\n30591 81686\n47011 76385\n69323 96358\n69222 97818\n73621 78389\n58641 88853\n45644 99658\n1778 31307\n17051 23803\n21564 35094\n11491 43457\n20730 97218\n23722 66324\n13472 74697\n51840 90537\n6623 46101\n57736 82451\n25678 70734\n20491 93617\n46345 85972\n37149 55472\n95959 99070\n41814 92700\n12682 55946\n68896 90460\n46678 49745\n11505 82128\n24706 85739\n2754 39482\n80293 92347\n24831 60613\n1722 72705\n42057 59238\n14785 66514\n41897 79446\n48327 70287\n49679 76754\n27064 69682\n19429 68073\n39447 71012\n12137 90551\n54340 73030\n9122 49013\n33905 46372\n45228 90715\n293 25273\n24979 55422\n36042 52464\n12356 49559\n52186 70192\n34539 82941\n17019 35070\n75377 81745\n5949 84767\n15131 88629\n55814 74581\n41508 62092\n28473 43082\n14617 87261\n48970 95382\n14717 98218\n23549 70928\n1800 25617\n4772 23648\n27460 42901\n30083 72225\n16109 19065\n28674 98545\n60555 94075\n56368 79901\n13982 28296\n13091 93919\n93678 98160\n95565 97528\n27257 98363\n52028 64634\n26331 65568\n53294 89805\n36198 41962\n80814 94459\n25654 56160\n28129 74590\n30685 94661\n29600 53515\n2539 46382\n58646 89901\n28082 88877\n62782 83848\n15267 63151\n39327 72871\n14563 56702\n17984 97276\n74140 90973\n71417 91435\n48615 71803\n59028 88067\n17587 21210\n59772 94139\n7213 39744\n83737 96680\n25418 49344\n12673 24799\n13927 31436\n12826 60421\n24461 71019\n30114 75358\n42434 58785\n84345 86755\n16904 60378\n15068 52823\n446 88696\n20671 48407\n41365 84727\n3722 92608\n26355 51819\n64289 70154\n2953 89984\n17473 26981\n70542 95851\n20287 76094\n10638 30542\n28312 52526\n24186 63185\n37561 71733\n13139 90999\n34668 68895\n34872 70244\n68569 76585\n21388 42751\n78606 99742\n4673 82491\n8843 51860\n25727 57096\n89299 95377\n60073 88004\n39412 53491\n15827 46368\n16347 41861\n62144 95685\n36409 56697\n73286 97526\n79067 96792\n4762 95238\n30012 86296\n49138 96656\n86637 96053\n64474 70466\n76227 83956\n56093 85319\n26135 85634\n49039 91243\n27206 84169\n11792 36363\n44183 88838\n53144 95208\n25989 26758\n17731 44071\n12211 59474\n90670 96394\n66581 95128\n40152 50617\n60606 65228\n53218 56245\n68026 93307\n14601 84318\n43226 53314\n35059 65665\n12 54643\n46951 60768\n2267 25465\n17439 69245\n28580 86667\n12124 73362\n36195 60616\n9638 37226\n50450 94803\n28433 37280\n42009 43982\n3905 52634\n5738 91330\n37428 38408\n1071 92697\n63337 87950\n22341 91558\n84619 86052\n4427 21877\n8526 91760\n38844 69205\n75377 94906\n37461 56020\n8607 47468\n22467 86150\n25512 87054\n58068 89444\n48914 53547\n12456 72924\n6297 26379\n16530 85838\n24052 37388\n70074 80698\n11072 14173\n400 70657\n46693 76541\n14256 77967\n17220 86761\n40123 88219\n22756 88245\n35141 48558\n11516 77221\n23741 33750\n86 10921\n23154 58827\n31071 48460\n62988 83192\n64796 94342\n43260 64818\n58142 71545\n15559 50493\n26541 44320\n7062 8566\n30149 77328\n29382 51086\n50645 96513\n34441 73742\n55691 71357\n985 45725\n6378 34726\n35017 52648\n43701 71260\n18195 52745\n29284 58162\n14531 28521\n1638 45575\n3654 51144\n21328 80638\n394 55016\n11481 17878\n81927 93516\n13573 92242\n3951 41574\n46511 88667\n6560 88701\n74668 91968\n56066 82035\n24775 39748\n86655 90495\n13117 15230\n7531 82087\n7331 37908\n20530 57966\n21827 96250\n42808 61473\n40605 50975\n61944 86796\n60431 76092\n15128 42667\n22983 38882\n43422 65063\n15207 27309\n1577 14720\n81558 99044\n17136 73992\n15130 24405\n26031 52732\n35952 63734\n34085 70011\n24498 54473\n16586 65220\n31823 84285\n23087 59745\n42251 51834\n95997 97261\n44681 99677\n9136 69279\n52298 70048\n9980 41073\n43397 66571\n36060 68383\n17399 78015\n53682 77653\n53138 78581\n36699 77117\n872 28332\n11712 24889\n10678 19032\n58923 79178\n4511 32458\n39471 85589\n12033 77772\n4498 36820\n5354 52731\n8274 9800\n53523 59136\n92 71346\n5357 31998\n70513 73899\n55563 76284\n30078 59851\n11226 78086\n84885 96493\n16743 57499\n38048 41708\n6921 19871\n14241 53024\n21627 83897\n28818 38453\n50851 77237\n50958 62879\n77417 94032\n78682 97755\n4207 83894\n7877 12068\n7341 96048\n7404 54712\n1088 58010\n76390 90655\n3296 91208\n71719 91338\n70203 71916\n46330 46696\n28157 74773\n59092 90935\n82108 95777\n42815 74365\n36872 41331\n6087 86174\n26228 60023\n14543 35992\n37505 81255\n1292 99655\n34324 90366\n43034 70785\n69168 69960\n42139 81246\n45165 51543\n36139 39875\n29474 48249\n31012 95395\n27497 58472\n13650 68925\n45658 86408\n21716 63608\n3241 83783\n28882 94799\n79352 86821\n17732 22281\n5187 23731\n54497 77702\n30785 81000\n19535 65510\n64725 75392\n66164 78575\n43039 67737\n20250 30075\n13632 34621\n57048 84979\n79231 95581\n21375 58122\n74490 78561\n51496 95221\n14591 76334\n65317 81871\n51670 92736\n53554 57453\n6040 27108\n29862 55116\n20868 78424\n28631 31937\n740 37181\n37242 84984\n62011 74633\n34722 42180\n78277 97559\n25443 60001\n69580 91587\n10643 56363\n45449 91423\n81904 86274\n51671 77283\n12523 56101\n3380 63384\n19009 70839\n43840 59969\n66769 68918\n41608 99725\n75573 80413\n49823 53817\n20061 62805\n15212 38247\n6359 39777\n4852 42206\n35612 45891\n13486 15566\n50021 77416\n12689 71311\n4062 27328\n16622 68729\n11823 75278\n4169 49306\n78120 79554\n5163 66817\n21662 23841\n13096 26485\n87886 99619\n27874 76765\n94326 99831\n601 67488\n4899 39117\n59385 77903\n65853 90482\n32023 90730\n52827 56401\n36146 58813\n50029 70738\n14573 79839\n27439 54153\n15750 71954\n4557 99547\n52672 76903\n17585 71832\n41435 73719\n73608 75066\n51287 70870\n85935 92006\n49557 86848\n1744 35323\n19113 31706\n14630 51540\n75801 80751\n37122 70199\n30261 40398\n1046 91936\n69377 80545\n77322 93065\n6118 48460\n44458 57939\n19319 32674\n92878 93735\n28903 34038\n48245 51222\n6617 28766\n2587 43025\n50354 95521\n28219 54256\n6960 19804\n51169 87440\n25841 52066\n2059 4847\n5305 64695\n49616 88727\n4436 72911\n31566 62468\n54318 88488\n79753 96906\n32553 77377\n65857 67226\n44748 75409\n16134 33767\n14808 53838\n80629 82621\n4120 61381\n4323 31683\n1505 22812\n31463 67041\n48423 54664\n7027 9284\n12019 46951\n6089 44365\n62130 71227\n56541 86549\n19489 99332\n18032 60769\n25691 77503\n49128 89657\n69673 82485\n13881 79221\n25376 32244\n79731 87716\n69494 86718\n20382 87901\n27866 97037\n8423 22748\n73950 75510\n8557 62212\n31281 74076\n72964 79137\n11668 15426\n48839 88583\n5145 57499\n25446 63222\n30069 75296\n569 94982\n23103 32449\n58587 68442\n82035 83135\n82038 99379\n74432 96833\n56290 75787\n15030 45235\n10923 21742\n42645 68262\n10198 64580\n46159 56545\n33671 66572\n8032 82375\n7358 15346\n42389 54690\n69918 81965\n34379 93028\n20894 83575\n9643 64104\n23945 95256\n3701 24781\n26179 93843\n39898 82639\n57255 77685\n61764 65488\n47536 73417\n3191 29084\n21754 48606\n38400 49862\n15432 80366\n72885 73901\n50773 53172\n9200 45689\n59125 84873\n3765 42377\n67823 82219\n62137 64571\n4107 63162\n56218 80000\n36517 80006\n6988 96256\n548 36876\n48479 74262\n43469 67309\n17085 86603\n12413 24138\n19181 60375\n50877 85354\n38542 42945\n12622 88289\n9188 27888\n53624 60739\n32480 41234\n25207 65280\n11418 88575\n5323 44807\n47174 95556\n61649 90450\n71692 88265\n13352 31565\n20774 80200\n66761 77732\n65293 66546\n26582 37499\n74484 93509\n8067 84209\n37050 82852\n6343 22973\n18777 52166\n60518 90795\n18856 66444\n2731 16810\n83316 88636\n80165 88485\n22437 68992\n3987 30487\n24905 55945\n30325 42344\n1375 70713\n17949 31482\n217 64712\n24313 84639\n19208 51785\n11246 22135\n12624 89031\n27744 99746\n49861 62142\n63436 92534\n19565 27638\n19215 32718\n60314 76397\n53096 55369\n36607 95342\n39653 62136\n14891 43176\n12874 90522\n71007 87515\n36806 50432\n60115 81207\n39780 75112\n35825 38845\n44706 81598\n15014 74485\n71149 92465\n44495 52362\n43649 54586\n6927 48451\n6988 68325\n60083 72141\n35358 91549\n6490 16252\n17334 99119\n5625 27409\n65979 84897\n5269 65002\n12131 21404\n25615 41406\n53372 99140\n23120 36124\n39139 74227\n66260 74305\n32994 33413\n9890 56102\n11036 33776\n11128 34233\n41777 64847\n3680 4897\n28866 79581\n26490 32282\n43738 51821\n61475 99895\n16857 76733\n49272 81460\n32522 77996\n52286 92499\n33092 37677\n36251 97840\n15482 49963\n48864 97044\n26034 54767\n13779 48008\n54900 74300\n63812 77413\n25294 28378\n7379 68087\n8878 58597\n11120 72310\n62409 91736\n13444 25096\n32603 38929\n78750 93931\n66878 93659\n55527 96155\n3568 25687\n36638 41632\n32132 43967\n72728 88179\n40791 44230\n4716 45066\n29258 78859\n8525 99340\n41426 66563\n2866 54247\n53501 55710\n26224 38480\n12402 67821\n24897 53050\n3779 53225\n70716 77954\n43677 90326\n8747 67903\n57964 81516\n11539 60976\n26969 84929\n31056 87525\n1052 61745\n66867 85823\n34995 74193\n9102 10115\n77781 98019\n33975 47621\n36479 86176\n62639 86752\n31348 53738\n41987 69407\n53993 91487\n15812 61675\n37164 50778\n20616 26659\n8267 57987\n45427 66595\n19685 77015\n28146 82156\n27427 87964\n33861 47885\n461 67362\n34888 97624\n52559 93188\n76834 89574\n48475 88916\n30318 75261\n34593 85356\n52104 83556\n12803 74579\n60663 94616\n37518 94257\n5980 89570\n1145 84703\n8138 67972\n76077 98343\n24352 77137\n7805 21074\n75004 93393\n67321 91240\n9717 87998\n40268 51422\n10541 50202\n65109 96082\n5522 39224\n5847 39747\n49061 96085\n34184 97125\n77427 87621\n41345 77479\n77941 91295\n21074 30153\n18702 42565\n6689 82998\n63403 86777\n19316 31402\n35718 78422\n11198 34244\n7017 89103\n48398 59725\n16924 74694\n25671 36413\n84028 97602\n39628 59924\n15367 28785\n33904 41647\n52779 98300\n14091 76727\n13661 37409\n18806 83684\n69082 85545\n20243 49113\n28704 93794\n47826 66555\n15950 96508\n20104 23278\n35440 41946\n36747 99714\n15774 99457\n7283 33538\n43699 84449\n5695 12483\n56505 99644\n12320 69336\n26450 89281\n45499 76291\n53796 93228\n51322 90611\n74168 82052\n33954 37224\n35175 85617\n58827 59658\n5988 52505\n54536 77927\n55150 86935\n25164 92472\n24211 94056\n4913 99397\n5687 56715\n44030 49787\n77011 85508\n35908 93705\n92767 95338\n24387 58276\n19902 30554\n8749 65099\n35805 69500\n45272 96361\n10066 90528\n63309 65105\n81688 97603\n9756 29104\n44656 97561\n94809 99608\n63918 88589\n41396 56145\n90316 92412\n78949 91841\n69972 72547\n75661 86370\n37345 66635\n88252 95529\n55479 77102\n13126 92358\n42929 46478\n36791 85247\n30722 48922\n35340 72826\n14328 74648\n62983 80710\n30724 79765\n61680 96790\n8071 67814\n13162 74534\n93755 94277\n74864 94324\n82449 86805\n798 47520\n80990 94282\n24560 79870\n78659 92413\n18552 24659\n32388 87988\n81149 99226\n5740 16544\n43750 73031\n39839 97517\n1767 86379\n25893 46678\n26233 36692\n63872 96528\n21910 96421\n5915 81148\n21533 99798\n49360 85463\n39839 58517\n67228 67968\n48464 81545\n21623 63142\n62096 92017\n43759 56965\n11829 98718\n37364 66572\n17073 24322\n26574 54550\n27129 71710\n76402 91975\n26741 73664\n40701 84977\n205 53160\n37604 51078\n49192 70009\n44306 45150\n36855 89190\n36508 73236\n17361 30520\n65737 88096\n43507 62825\n47237 99784\n65040 95671\n43490 55704\n9479 44341\n52654 57710\n26025 37183\n27661 97207\n84855 99352\n43142 71945\n15929 81939\n53477 96796\n15867 64248\n8506 27905\n43724 65744\n15893 88971\n68095 93055\n50313 91664\n5739 74799\n82826 88118\n84940 88385\n27308 65951\n2397 84881\n37821 54542\n21297 57779\n9522 10787\n16254 56717\n32916 99481\n56450 62739\n19399 32300\n46665 60330\n31687 62686\n24024 55557\n55393 72794\n39668 81632\n35733 61354\n21024 60833\n52984 72240\n61875 74234\n2175 45081\n4573 36852\n53030 65890\n66324 76237\n17772 96275\n30666 63698\n14154 72355\n25431 77532\n26434 38237\n32673 53151\n24569 65513\n57077 70608\n11064 84699\n39111 96891\n34963 79389\n59818 97113\n81573 94990\n74907 98355\n66259 75877\n76822 77652\n18361 59550\n24422 71772\n35019 60695\n6162 15949\n37422 43417\n57191 69666\n50770 97206\n74764 78047\n18519 48655\n75435 85374\n50559 90316\n56121 66585\n56376 88154\n2138 10461\n58098 62113\n39504 60800\n36055 56702\n863 24294\n44394 63681\n33391 67432\n17263 55607\n32800 46248\n36301 48946\n16823 46876\n22615 84778\n20760 74754\n24049 57140\n45294 94985\n32346 63540\n7119 51700\n66978 88634\n4661 53976\n43379 86015\n22511 49221\n26642 85443\n59913 91102\n6019 65359\n5625 22311\n18667 91599\n46940 59104\n54529 86003\n2736 34565\n1244 54995\n45680 52911\n34055 69880\n24143 66311\n42129 80301\n30295 58019\n67107 82538\n21760 44887\n7469 79536\n59271 91504\n1276 43409\n14385 96103\n8085 61711\n7728 80824\n31533 97299\n3991 24947\n36324 54081\n57009 78260\n77710 92065\n54850 76105\n83451 89723\n53013 66679\n45002 98229\n6545 25750\n74531 84912\n28014 67742\n31968 89045\n28412 39994\n25988 90232\n75519 95638\n58190 93700\n18770 31540\n75108 98032\n3089 27396\n16478 60407\n87855 90431\n14983 97605\n25207 88435\n49534 60122\n9909 60821\n25890 76928\n18905 69265\n16979 43974\n16877 59490\n456 42344\n45733 80358\n9711 53313\n42068 44047\n83078 90427\n59838 81641\n46908 89589\n32608 89839\n13025 91774\n12731 19001\n55744 65810\n42500 53036\n20734 74798\n7979 8407\n27126 77044\n25529 89713\n18761 38919\n2961 65735\n16139 70187\n42733 90369\n12529 56569\n47139 96125\n10441 17930\n26440 71289\n62050 97224\n26371 96162\n94752 97802\n82464 96176\n2919 11093\n38984 55869\n3062 22436\n29661 54311\n19094 33618\n29518 65081\n4667 35364\n4679 64314\n15740 37157\n18870 29618\n47460 66917\n41111 79451\n20747 53786\n8102 79365\n39924 84847\n64550 98844\n22140 94010\n26078 32391\n11790 89058\n15946 75033\n19265 38625\n22161 64027\n60665 82639\n34246 76662\n26904 63002\n59586 83668\n8342 19585\n70920 82800\n47735 78950\n41111 66827\n23372 31629\n6902 66525\n2103 76883\n17386 51980\n60153 62993\n33459 44415\n62255 83032\n3828 58893\n28864 49793\n6849 21255\n49446 81579\n334 4235\n67526 81279\n58300 72771\n30628 34438\n8208 82231\n26308 30658\n24865 73612\n18257 96139\n95186 95514\n70634 71521\n87359 98548\n31555 47549\n43626 90918\n67369 69089\n20286 70508\n9365 69155\n70075 84196\n28477 36981\n1863 28737\n72861 87486\n49709 75405\n12 21193\n3358 8554\n28952 80992\n54546 95987\n46774 74559\n17461 94484\n11261 16110\n6133 62418\n7343 34847\n25658 71376\n19597 84974\n3089 95796\n8104 16869\n32172 37787\n33958 79655\n81231 96269\n15791 69540\n38321 97433\n32302 80197\n14625 66984\n52233 61652\n22515 55054\n51228 95858\n14315 52686\n36563 49168\n55665 65384\n41582 50252\n31227 35966\n31912 88300\n13351 25798\n2841 25137\n15391 83809\n44685 62737\n62459 74653\n30311 56666\n3129 82465\n21490 69302\n1393 95325\n65511 93122\n10965 67190\n22855 75218\n54819 58855\n70845 95427\n29896 55399\n26720 30818\n28165 55272\n30399 30885\n60004 69302\n30178 68623\n18698 99071\n41005 69224\n33753 77959\n16417 25537\n37225 43651\n22627 78198\n35556 62285\n80429 99386\n8084 36526\n6696 37418\n56427 75145\n41523 74487\n10301 18018\n53329 71363\n9649 92600\n6989 45097\n13910 55024\n28439 83951\n57712 61023\n43981 46007\n48081 64255\n20932 29529\n36586 62933\n35760 50344\n10137 65156\n21877 70302\n19758 59360\n30356 81377\n20875 96599\n40714 49006\n11930 64070\n53906 93400\n3765 32421\n12025 36857\n37482 93984\n20447 21218\n37760 56338\n46713 95388\n11858 32211\n54167 69557\n6490 65993\n3695 63613\n24523 58581\n158 75348\n6844 20270\n2872 11567\n89507 90685\n2641 89242\n6594 62054\n46168 64443\n72338 88883\n23398 91549\n66405 85797\n91994 96911\n15670 30784\n31154 35207\n56380 93781\n20878 28188\n37199 56625\n22389 42731\n24402 86050\n31683 71580\n45812 88026\n23446 76874\n34006 50573\n40777 76964\n4803 32690\n34243 86999\n21271 99766\n47074 58487\n44057 86618\n81076 92735\n3155 46820\n62136 86925\n1992 7276\n1525 77629\n41695 49894\n78143 89206\n29137 94885\n89674 95708\n24860 41487\n25938 41403\n38958 63911\n4609 56676\n59964 88313\n34988 94381\n9881 15362\n29091 86243\n27345 60802\n24397 64967\n40606 66855\n37303 76231\n42005 49442\n69175 78082\n7942 46526\n48567 76813\n25467 57186\n23346 64425\n39190 61261\n27160 62365\n7869 54855\n509 84983\n51519 79017\n26346 34049\n88777 99435\n80096 85964\n8820 74665\n59832 96299\n74856 88949\n44379 98829\n17729 96978\n24045 93259\n19830 28877\n92371 93481\n73488 76041\n16133 28717\n39159 76086\n17353 28454\n11000 91461\n19936 70319\n60331 72418\n2218 38375\n5197 19440\n59381 82469\n1598 18706\n1271 69979\n79509 88350\n18610 62868\n1406 60115\n17782 75059\n16401 70620\n21128 61169\n91864 93585\n546 21771\n69416 97162\n9934 86496\n33066 82933\n57745 79456\n40859 62759\n5207 83685\n63635 74703\n7830 16072\n54013 94256\n10824 66943\n39391 92042\n82978 91611\n13370 22565\n21752 68857\n6525 78468\n39189 62712\n45452 67017\n21398 87966\n13006 97229\n46283 73596\n41314 87269\n16570 91903\n42853 79276\n75498 89246\n45906 52089\n61073 93453\n10540 62193\n10788 67704\n76099 89636\n54314 85909\n19725 72084\n39020 94201\n62991 94228\n1050 38828\n27819 65413\n44664 97015\n15340 43016\n10338 66497\n53514 88164\n20683 89737\n74995 89210\n62996 97304\n7068 55596\n1958 46019\n5651 24845\n29544 69226\n59531 67734\n833 89384\n48324 64631\n58450 84972\n13509 36081\n32136 75346\n24027 94204\n17643 93974\n35038 74209\n15680 90429\n15090 57576\n68916 94376\n49984 64864\n9847 21024\n2605 63646\n79297 85269\n31141 31226\n32526 37328\n85672 96838\n69081 86824\n8453 72935\n43177 52139\n15919 72483\n32864 78467\n18777 74360\n15093 15575\n18664 82965\n51446 69154\n42761 77257\n22203 40624\n54411 67394\n56097 73599\n668 41107\n51883 91659\n47645 77120\n44008 80533\n12946 44863\n57181 59407\n18878 52291\n16183 58568\n11560 58690\n57629 89233\n16289 80758\n4004 79525\n27657 37890\n40757 45767\n826 8521\n9271 40844\n59822 94980\n25580 72378\n31821 66716\n55603 58923\n51668 86257\n62393 79875\n16315 37647\n12572 34177\n29820 84298\n35916 85653\n38512 94193\n83503 96944\n36877 53040\n43427 94835\n27151 85272\n5873 85203\n46225 54417\n26549 58856\n2798 34183\n60514 72315\n49102 83312\n34601 45908\n21141 97248\n8480 60729\n51641 97002\n23957 38882\n9955 27890\n76227 89417\n21805 34667\n61923 64617\n9555 10928\n51636 64265\n8629 38763\n42482 69175\n25658 96755\n7121 53382\n62190 85902\n34511 54563\n22620 77459\n45704 67252\n57579 63539\n34761 82901\n39727 47587\n80201 90569\n13496 27863\n22353 86780\n5154 94176\n37260 95842\n35231 95973\n65299 71286\n36312 80894\n66794 88749\n9365 27967\n42313 47890\n20269 94797\n10712 36419\n59142 99264\n2470 69448\n15157 31986\n2506 88643\n19514 50299\n37682 57778\n5171 44513\n74240 89191\n31798 54352\n36839 98309\n157 42573\n1615 47269\n77766 83261\n55070 78312\n45623 96392\n38722 47287\n78637 92390\n13913 56732\n1495 66582\n24343 24950\n43848 88978\n31500 61749\n78536 80786\n21404 56981\n38338 57720\n48442 89070\n37960 93620\n16535 74977\n27649 69537\n46756 83580\n36078 51782\n59528 90116\n11484 66779\n11896 31794\n33643 64525\n44156 52660\n519 37453\n19754 84296\n3226 56613\n21325 50994\n32448 75562\n34891 65288\n67488 93209\n21850 79507\n24086 25844\n11477 51302\n44264 72208\n70095 94408\n11775 89950\n58121 62131\n15159 52890\n67457 96058\n66167 87296\n37239 56015\n30855 60550\n16478 85500\n58938 69849\n29108 83543\n34640 54265\n5910 79332\n29270 99592\n78828 78882\n29582 90262\n15343 27460\n33608 66198\n35778 95132\n7866 44416\n12550 22490\n401 15132\n15180 31876\n1113 56478\n8221 71752\n5110 6423\n48368 60766\n38459 83994\n18527 42856\n28466 42328\n19143 41211\n50306 53408\n5925 23657\n56530 87758\n97928 99853\n31219 50069\n16513 29417\n1344 87524\n56186 77509\n50188 69490\n10159 99043\n15292 94456\n32749 45002\n36475 41080\n33931 80561\n10565 35902\n83382 92341\n38517 49935\n68931 81880\n40160 89098\n59220 78346\n40634 58768\n54962 78475\n51419 60664\n61658 96687\n44851 60044\n30939 35541\n15961 68679\n63287 74778\n39830 90954\n26758 88464\n36237 96139\n10494 96699\n11172 69250\n57870 76166\n43816 93308\n9001 39705\n8274 32756\n9611 33141\n29886 53213\n45886 54582\n41403 99916\n25275 45684\n37521 90296\n15722 47765\n9544 80928\n78765 82852\n66562 83585\n69446 94013\n12501 20906\n4901 52197\n14652 18989\n6419 96735\n11722 42035\n60278 87192\n77382 82591\n30370 84496\n28938 39520\n6396 29336\n73740 84608\n88312 95614\n32150 54574\n47258 87851\n80490 84297\n8023 60971\n8395 48757\n57917 77235\n27219 53013\n65183 94514\n78272 95349\n3221 44628\n67403 86183\n25642 48138\n479 79785\n10963 38662\n61351 65759\n85903 88660\n5450 10137\n3148 84904\n5681 81571\n26539 85759\n9493 98793\n31391 73473\n12160 90959\n61273 82049\n43318 86595\n24717 94200\n67891 75281\n26756 62281\n16579 85692\n21153 41973\n4302 44470\n11164 29679\n21169 84237\n27472 87676\n4117 40301\n30157 59994\n31298 96310\n8635 45619\n10718 84195\n56592 60860\n22086 62568\n80321 85016\n78124 97389\n46494 96358\n33482 91285\n14422 14574\n27491 57629\n62642 69982\n12661 92438\n3708 87839\n7989 69872\n19493 26430\n28788 30538\n38532 69603\n19557 99656\n54158 90530\n5159 39059\n40297 84033\n9735 34470\n50165 88997\n81545 90628\n8017 46939\n12236 39646\n28523 48263\n63795 93584\n75922 81685\n12465 81506\n17822 69684\n2156 83264\n11078 47807\n38230 99507\n851 40750\n65850 74511\n2830 92413\n31078 87712\n63237 90592\n751 41842\n13716 83909\n22390 49003\n6603 14966\n3266 33878\n4423 15621\n20961 67359\n22492 86419\n57905 79854\n12424 38317\n24380 38659\n12120 71271\n5377 25232\n5615 5944\n43828 58251\n10493 25174\n45603 68765\n4605 83883\n17085 79952\n29917 58279\n11082 79808\n20867 45914\n3186 67295\n79371 92188\n22568 98661\n12349 71013\n1670 12418\n62424 66337\n60613 68208\n37492 44199\n16040 24834\n19446 24016\n965 81202\n42667 68565\n58375 72867\n47975 78365\n38168 68283\n79736 82035\n7870 84054\n20364 67946\n6444 78566\n19469 27192\n6809 18087\n29804 66464\n4636 31339\n63739 86328\n23931 70551\n7882 23423\n29763 53851\n21146 30997\n25876 89089\n3237 28837\n22481 37059\n61013 79600\n11200 56376\n38494 93744\n6226 62215\n32294 73630\n2682 57380\n20519 95381\n17674 43696\n25010 86995\n73410 92331\n11679 75474\n35025 47385\n23615 73778\n20868 87630\n33693 85879\n48942 88389\n51715 89619\n20355 53684\n13816 31778\n61974 96800\n2897 64617\n14886 48069\n49239 61924\n25207 74434\n31007 49632\n2404 98580\n21910 42970\n83716 93266\n29834 39280\n6333 97722\n68397 87397\n49565 87676\n18085 79675\n32645 86129\n49607 90150\n6245 10375\n30251 90576\n19783 94152\n77931 79353\n19762 87953\n37050 79011\n63701 75075\n1291 30318\n72777 90151\n7662 93981\n68797 85517\n24641 86346\n45248 78219\n80054 81559\n21672 47593\n16941 99515\n54023 90150\n44104 73126\n52003 52853\n84120 89507\n51963 54882\n83196 87905\n14259 14656\n22187 59520\n120 19950\n2309 92748\n11865 74937\n2500 34739\n36365 61173\n68690 70171\n18272 68068\n179 39235\n16399 92481\n28215 43924\n32600 85973\n43051 93579\n42911 47851\n74766 75190\n9706 94180\n7231 80991\n11125 86021\n17237 75378\n8587 91464\n81825 82140\n41146 82257\n58360 78241\n21959 91627\n14517 78763\n4106 6742\n6361 82874\n47635 96480\n30445 98330\n23999 34220\n917 43050\n8186 76171\n21219 43294\n58713 87903\n91914 95082\n11558 85664\n549 87515\n1601 21389\n40902 51877\n786 4933\n24829 74301\n27261 58729\n7115 11497\n1359 2875\n32086 87927\n50459 67179\n38229 78082\n80782 86129\n6052 46005\n62871 79726\n11861 51985\n39440 41049\n85890 97683\n86102 95344\n492 72300\n13883 26723\n74512 91000\n63659 87832\n4634 72341\n20194 92537\n9596 90116\n83336 89781\n16910 67910\n49521 94585\n59709 75525\n29715 57360\n51053 95318\n6611 94404\n68261 88239\n8575 41550\n3172 82178\n5490 23270\n15621 48493\n8215 57595\n46075 51269\n17347 58393\n45321 53772\n8970 90670\n12359 21735\n68863 79341\n28822 35201\n23388 51504\n61284 84254\n59962 67616\n21123 54336\n13468 32711\n29596 92767\n41967 55401\n36203 82867\n74983 86031\n33346 57559\n60567 72824\n14850 86329\n16445 96158\n72446 73480\n77991 81383\n14504 48606\n31073 43651\n24852 99610\n51465 62140\n3350 19562\n82417 83730\n27702 55158\n10884 76018\n37913 39984\n32275 45365\n9810 47499\n42030 88479\n11828 72362\n12567 75615\n22198 52697\n15875 27175\n46548 61841\n3205 98944\n5576 6740\n69171 83863\n27705 34064\n41248 77860\n21806 46440\n37992 99380\n40037 52480\n30555 88321\n48426 81843\n53236 66629\n67102 85132\n31316 45644\n24698 70591\n1375 94662\n85482 99577\n24620 77137\n11293 58639\n700 39031\n39270 42978\n65440 95289\n55211 98929\n67874 80307\n16876 94660\n65562 79491\n47419 59824\n562 99896\n2162 39189\n6110 68740\n34276 82251\n11331 45668\n4246 75940\n18461 96512\n62658 62736\n44098 48658\n12084 78764\n4653 20430\n8409 92767\n20313 24763\n38227 44582\n88889 95998\n24656 83401\n20444 71622\n34986 85155\n12802 97074\n69866 82317\n44914 92717\n3905 52488\n83736 95968\n9487 63907\n38770 88825\n62248 77057\n17185 95758\n35024 70100\n78112 93557\n58368 64697\n14739 51550\n9921 35204\n57967 60576\n57169 91846\n28791 57291\n65730 85293\n21713 88665\n18481 36114\n69571 93483\n7417 31832\n38833 69593\n10718 15407\n36316 42774\n44981 72506\n12647 33407\n10932 57301\n31558 80196\n49984 75475\n30461 85624\n23635 60006\n15320 65689\n2238 50618\n83947 98972\n32334 56903\n12103 30372\n53760 83378\n5337 54570\n8115 78881\n22669 69319\n64418 85881\n35234 72206\n55966 67816\n26983 62601\n84798 99796\n4388 49483\n67096 83034\n46487 76362\n3139 25896\n26252 53648\n44996 59445\n67313 92220\n23469 48690\n12665 26526\n52914 53280\n19217 62397\n29662 85686\n52124 52376\n42921 67917\n42587 55116\n72307 74930\n40630 61948\n36189 50160\n6290 98792\n5264 50274\n6577 72797\n78156 80519\n28238 69271\n63962 80679\n69723 70519\n29929 87725\n17806 42487\n34465 72883\n66226 80373\n36583 68938\n9819 43883\n8344 42502\n87705 96516\n6526 54195\n7118 55514\n48296 98083\n15710 66675\n46301 73091\n12420 98021\n46858 55095\n19977 85431\n89740 98782\n40932 50047\n39875 78541\n1910 91859\n2815 23482\n11630 29778\n65207 69089\n16238 87227\n60603 62954\n14938 70654\n17846 45757\n30185 73185\n51308 87359\n66215 89861\n47909 72188\n56359 62190\n12764 36103\n25148 26268\n18665 75370\n53975 72955\n38869 92547\n45287 63881\n46973 62225\n18858 57645\n53381 96436\n11240 11821\n21866 24527\n12152 90670\n12532 71030\n2832 59882\n40738 90539\n8767 75186\n41078 85178\n22079 52890\n5553 16920\n16561 19420\n88713 98823\n4479 73915\n25246 45848\n6771 36787\n47650 49768\n21900 31498\n39368 91309\n61045 66669\n10148 55088\n46655 61105\n12995 48051\n89479 93789\n21718 47924\n17289 36266\n20067 44708\n24741 62644\n35358 58438\n23780 85307\n33310 96130\n9443 44438\n37338 73789\n30208 88456\n45299 90164\n3454 96156\n59995 86953\n5860 8907\n19143 76403\n681 13833\n27324 92801\n7695 55345\n36113 45956\n8551 50212\n41787 75016\n62519 68770\n19443 89825\n5633 25438\n12853 41862\n45908 86336\n31730 50139\n13501 42692\n8729 51912\n49620 97583\n12818 98579\n56270 96372\n13485 64163\n73718 75617\n9542 20908\n6260 41710\n40843 49605\n16336 58748\n4881 46707\n31351 38128\n36066 44045\n44973 84556\n15341 51463\n69569 86731\n26578 81799\n2210 33336\n25833 56602\n25667 86475\n79908 84514\n30020 39185\n80750 85294\n6425 19839\n67700 87972\n19273 32029\n61732 87982\n19161 34471\n8595 97563\n43936 95881\n7178 75942\n22678 45607\n27587 93787\n45075 45326\n21670 70197\n6890 79558\n15881 86793\n13753 32054\n27460 55217\n3410 86099\n18440 76622\n73097 93644\n67476 88170\n21774 22292\n37772 81632\n10355 77517\n50400 70378\n513 93366\n7769 92106\n12761 57728\n73780 86766\n12891 68326\n69528 86287\n68882 83786\n4455 20731\n35308 53540\n20754 65653\n59958 83364\n5499 41128\n24488 69509\n83267 91210\n28478 61773\n60178 75318\n30923 41005\n5154 19639\n82473 83188\n45254 61320\n45533 50362\n9077 28040\n2259 62048\n63449 68987\n48743 64160\n39099 97776\n14055 55174\n12307 72841\n38298 69964\n77720 94986\n73863 88883\n3471 7218\n6846 40673\n12352 28638\n17912 52452\n27008 59722\n36680 80230\n34577 80016\n10841 58613\n27238 41059\n68514 97671\n57751 85831\n63312 95773\n24221 62535\n20756 47824\n15313 44851\n14361 37034\n7569 15308\n60819 95023\n43351 43877\n1603 9897\n58572 73967\n36687 51774\n11439 68796\n564 37596\n43384 61752\n53201 94187\n93298 96471\n38492 84214\n36420 92445\n34610 39040\n3186 12239\n7848 52879\n11432 58562\n10164 40025\n85928 89563\n25976 55650\n25211 99170\n13485 26163\n58671 67193\n28339 81824\n13763 21411\n72864 99695\n49756 74246\n44668 74276\n3724 21422\n67608 94368\n22864 49908\n59342 83622\n17781 78305\n18594 33641\n29760 54913\n81041 97459\n11138 51954\n33769 33907\n6310 32180\n15833 94464\n11466 19683\n53144 92530\n51061 99448\n20903 83434\n39065 81688\n1427 11253\n1449 98169\n3369 72183\n76078 93233\n65076 75506\n10365 53476\n34237 81485\n31587 53572\n10374 93762\n15582 91706\n17992 51093\n61023 98412\n37688 67332\n19338 80188\n48398 58345\n7674 43190\n89497 94775\n10312 98052\n13790 25894\n6549 48132\n11290 14575\n47439 72841\n37137 51977\n26131 41876\n37128 84748\n41420 86091\n11947 18448\n40845 91725\n26571 42113\n25541 57714\n47053 78525\n16621 40134\n15905 55473\n66765 77483\n68726 68819\n4519 90526\n11414 62460\n29280 89045\n5302 19576\n637 33872\n76138 89586\n3211 52119\n71001 80130\n70547 81585\n12014 91760\n1430 93235\n17266 33746\n8392 88321\n91614 94230\n13542 40321\n38275 41141\n59214 92670\n33623 70852\n60427 74383\n81548 90352\n16212 72288\n32570 53000\n10265 77763\n43592 89549\n56675 97493\n50991 80272\n48690 99304\n25334 89304\n59134 64132\n100 11179\n19344 31156\n58409 81593\n29 37577\n83716 89979\n4715 40916\n14528 68222\n32073 98280\n2207 90053\n11084 85051\n13160 62614\n17313 77829\n16505 82566\n4556 95846\n13036 77151\n30145 94832\n19306 74696\n49625 50623\n24245 58875\n80180 88672\n1518 2319\n27837 79075\n9905 94989\n52357 61565\n7150 95333\n14838 99818\n4212 79264\n3930 35319\n24069 96847\n29744 99549\n18527 39350\n74674 79792\n1222 1656\n48675 48677\n6396 39630\n36760 48130\n6414 37933\n45002 60721\n71179 93643\n21067 74324\n11372 15188\n6388 86225\n14839 99958\n20748 79234\n39414 99807\n8737 21440\n25766 48127\n39406 51785\n6238 58742\n13306 67673\n16620 55250\n40830 97946\n21040 37205\n42549 84181\n14677 98939\n66010 91948\n35435 75164\n18621 42698\n19257 80900\n27074 63452\n65117 89843\n50942 64528\n11765 58912\n25851 60749\n44836 79973\n37888 41587\n16348 40340\n43168 46571\n23959 29885\n34269 84615\n4272 50129\n3558 62031\n8245 20614\n13451 83393\n8746 35328\n17761 82615\n68510 95454\n47894 53095\n31190 52474\n36196 90577\n45537 75335\n47160 47280\n10300 71533\n18567 41610\n3144 52525\n68632 92510\n69868 90678\n19978 63765\n29781 88585\n59274 95384\n64704 87151\n17591 78035\n41123 57496\n36029 77918\n62210 72794\n57579 64859\n36876 75954\n1404 29924\n9323 28138\n14815 62559\n71059 92466\n31979 95584\n9606 23668\n24722 26449\n83142 91514\n29099 74894\n47830 64572\n19316 95330\n32003 48924\n4228 48407\n57325 82490\n56765 58411\n57934 69432\n33147 76995\n56543 95316\n14019 29225\n58116 66949\n18405 76595\n30740 37485\n43744 97442\n85954 94257\n24747 73334\n72895 84347\n88785 94475\n32585 52749\n2944 38108\n35257 89391\n17196 33929\n27667 56371\n21470 66901\n89539 91294\n37266 98809\n8112 53913\n22473 85928\n10309 45473\n31005 96912\n3751 29952\n19034 57216\n14453 38737\n23920 87250\n36948 82849\n82780 83067\n27325 29635\n65842 84125\n19538 66666\n37229 60985\n55538 82896\n39717 98188\n28645 76648\n45223 45761\n9009 58885\n25818 53384\n18569 30780\n7283 69004\n40505 69772\n13898 63100\n19924 23026\n10376 72796\n14065 34431\n74446 98739\n26386 74095\n37997 63709\n75557 83849\n8427 47956\n41905 42038\n20461 31860\n5482 80036\n10329 65117\n14074 40960\n11179 65344\n92583 99646\n31583 60651\n78985 86720\n17884 60730\n3717 45958\n16605 36018\n28463 98003\n43122 53228\n17511 96084\n9559 97486\n3672 75347\n8763 69338\n34229 95609\n8031 73537\n10390 63024\n8895 48447\n16123 18897\n32754 85419\n65419 75391\n30304 67845\n40252 62956\n81030 86074\n2324 60948\n33587 37527\n24136 82187\n32098 61928\n39713 87048\n67948 84214\n68760 76325\n38951 65209\n45652 84865\n26651 79966\n2114 18157\n15555 91338\n2216 70469\n18627 41026\n15650 46739\n7504 53258\n11996 39553\n54162 60691\n8896 11080\n33917 67400\n31492 72602\n54606 60186\n2345 24670\n10617 76714\n43225 47814\n3158 34458\n52053 73968\n78718 94918\n61293 93561\n35059 95830\n8803 54855\n10364 76363\n30238 57693\n54141 63371\n33568 40552\n8143 15858\n1047 96051\n4596 8263\n10590 92013\n44432 62620\n71497 85305\n76957 91259\n2370 99132\n26618 90307\n496 53342\n90484 95653\n303 86069\n2322 21902\n38182 60926\n40281 64891\n11495 74311\n51890 94523\n20827 74902\n33472 38691\n1704 7498\n11154 76686\n9473 63930\n16867 72215\n26934 95309\n43961 59698\n7213 96562\n13477 63950\n30830 71921\n30278 98969\n15836 66113\n61496 83929\n17679 75372\n13042 47574\n46639 50767\n74007 98167\n82263 87370\n35255 56713\n34882 79654\n11894 35460\n32618 35630\n63220 95180\n86406 99424\n35236 88099\n71719 79064\n27767 67531\n70755 99141\n36320 59385\n30984 84578\n24498 80636\n15614 60839\n957 16869\n28487 66964\n70564 75796\n37668 76360\n14706 54812\n23220 82541\n9792 51851\n15383 77247\n15381 27052\n48993 75233\n21997 38703\n28548 94494\n3004 42256\n39774 54513\n78922 91565\n7677 99287\n41861 56861\n63359 66851\n5413 92217\n11369 49813\n60563 76941\n829 2521\n78562 91871\n4003 15291\n24892 93723\n29584 61363\n59721 82406\n1406 65292\n3130 82544\n64647 82280\n28320 32215\n12668 49727\n10794 64708\n7138 66911\n41443 57869\n92317 96445\n1148 85779\n22745 91242\n65287 87776\n33639 88085\n2025 90504\n57302 88454\n45686 77324\n21181 64330\n31346 68422\n26214 31484\n31636 50453\n34424 90876\n15887 94936\n18930 55905\n7284 20661\n57550 85164\n58735 91124\n32814 75668\n57139 58124\n6750 83559\n40562 76806\n59322 70483\n30222 60690\n7171 89292\n38208 60264\n51131 90525\n66869 91609\n1699 72028\n44216 72490\n38901 74600\n3324 30304\n68193 95738\n85155 85644\n20417 89030\n17176 43866\n25917 57357\n790 26438\n20271 50851\n52932 97909\n24719 73198\n27266 99710\n3315 13317\n26386 70870\n77824 85982\n15136 21053\n51912 63995\n51537 94573\n26786 39253\n69822 70961\n70888 84236\n28911 88682\n10741 35447\n23786 40886\n4908 90691\n17514 73917\n57786 60993\n16026 84964\n29038 92076\n35028 78388\n34094 97256\n7829 38505\n17245 49831\n44725 85922\n19824 76060\n24381 58776\n38051 46456\n25946 41293\n5695 34804\n1058 31251\n3909 95087\n51419 56258\n15575 98944\n95295 96366\n49192 88128\n26382 62448\n8025 39231\n62427 67805\n73461 97344\n46704 48612\n22367 36667\n45932 69240\n23020 29855\n6327 58013\n22737 24249\n52544 66609\n45469 45623\n56783 81506\n55131 57524\n25851 31810\n35463 97599\n9609 43026\n1711 62250\n47112 74629\n35833 93711\n41129 73721\n4020 44132\n62389 65623\n26458 31057\n31055 34155\n24325 41236\n49613 92754\n45007 62870\n3327 42394\n46424 72487\n5300 87101\n6032 41634\n21089 40306\n35835 97745\n71381 83016\n35612 36756\n55904 57125\n30081 31000\n56371 70362\n29583 55102\n49184 86417\n5953 72439\n30835 44457\n9838 96428\n33062 48792\n38861 57233\n31736 74589\n87033 95381\n21789 65843\n21722 53891\n60828 77911\n18861 55732\n9696 31420\n178 15772\n57457 69880\n27444 85235\n17318 40935\n52263 91710\n73687 80154\n42555 77411\n58564 67051\n9520 46077\n77468 85767\n1020 74502\n47351 65020\n13811 85185\n55067 78712\n15176 28616\n40852 75065\n12271 38451\n47514 54550\n6391 55716\n65014 82820\n61982 98225\n29070 42415\n6596 76985\n35056 57724\n79017 93419\n6203 74876\n28679 91218\n49703 52151\n73701 75576\n74870 91930\n49098 97722\n42627 49847\n81379 94007\n64369 79138\n79712 84256\n8785 38046\n9440 61904\n8457 38706\n51629 89656\n76198 96969\n38460 94874\n44693 97603\n11618 25641\n60759 93862\n39413 98596\n8999 22129\n90088 96573\n16489 46373\n60949 82795\n38173 47020\n18673 30063\n26322 48775\n87679 95200\n12231 99283\n25267 47179\n22321 86962\n72352 78151\n1057 10329\n37382 71172\n66339 71205\n76779 78094\n13875 85425\n37386 76624\n34474 74858\n50495 97956\n2038 56754\n6707 77432\n20078 87201\n30907 57491\n22328 77460\n29283 56072\n67705 82645\n22895 34065\n89620 99207\n12594 69136\n25290 58684\n44703 74653\n48997 50451\n2725 61853\n9666 37871\n3844 46419\n8537 81572\n26646 99985\n20109 44149\n1376 28749\n8811 51635\n6003 51116\n21111 76711\n93799 97680\n12872 67426\n12116 75924\n34496 74560\n55039 87731\n37131 94861\n22346 39692\n58859 75302\n12996 31276\n83043 99662\n56424 64040\n28455 72925\n61989 95377\n3615 89602\n20517 60882\n26354 29403\n10216 50394\n47862 82521\n41437 54785\n60505 98857\n24307 69760\n38150 85518\n9085 84306\n3719 33752\n88616 94861\n46215 75248\n49766 93234\n24394 98004\n28045 55660\n37095 75396\n33736 61180\n27495 53317\n23587 59577\n43606 98883\n74870 85270\n2377 21202\n40035 72557\n25785 72971\n71053 81170\n159 48788\n5200 36533\n70995 79512\n28759 97980\n69189 72046\n21888 53240\n60127 94847\n32360 64769\n64671 95700\n19302 67281\n14006 38128\n70466 70523\n7073 21300\n11231 84513\n21266 80000\n4410 80614\n40679 89241\n1912 30880\n91241 94632\n7225 94360\n7973 27770\n35478 78155\n15466 99175\n49286 52806\n2784 60299\n31511 87905\n77867 88888\n8961 24982\n62271 98073\n7867 48641\n30376 48300\n4245 98487\n38958 43594\n1298 8576\n46549 99122\n1692 49007\n13098 17602\n37838 91032\n27994 87862\n31336 81284\n12166 70912\n89468 93667\n4287 31477\n70106 85734\n6171 64509\n9335 82671\n9740 19207\n60603 85864\n25623 50521\n54483 97217\n11131 78674\n1432 26880\n72771 81739\n18372 89996\n36971 48846\n7575 12100\n11397 93819\n76056 87940\n51910 80372\n40695 93297\n49875 86131\n31408 42727\n4756 76529\n13655 98365\n43188 73517\n19151 99481\n30396 68323\n47254 89479\n65920 99020\n712 49022\n38944 93056\n44829 79611\n13042 18854\n30656 73668\n2832 72341\n81809 85036\n49621 72529\n9082 48600\n13328 72524\n68471 69742\n18532 28322\n52354 52740\n15123 92453\n58250 78328\n35591 68665\n49301 82686\n23009 88385\n10406 25460\n29985 65369\n38891 39420\n6646 32268\n24095 67766\n34240 44701\n39597 67532\n37319 41158\n3112 32401\n21484 74406\n53569 86445\n50246 77302\n28040 37109\n7823 54009\n39981 80638\n83873 93621\n1055 33673\n51097 81637\n22995 33367\n68644 72799\n44850 86982\n65655 66178\n86243 91105\n76107 95917\n9358 64494\n10312 15116\n34692 90662\n62428 76211\n26 48942\n31910 78714\n47816 50739\n61954 68226\n72610 92400\n37153 57117\n68260 70370\n44206 76241\n70693 77513\n85413 97304\n2655 35847\n55775 76575\n15716 33975\n42514 77779\n47394 85576\n1851 29924\n1607 78596\n27330 82185\n73315 82021\n42774 96074\n1595 77476\n56939 60288\n2767 67046\n188 39896\n18345 78232\n10745 18581\n6212 26223\n68780 90633\n6620 14941\n44937 46374\n38695 63678\n30446 37694\n8785 64232\n25495 87227\n69147 73081\n693 85530\n18646 93683\n35258 95289\n24571 60155\n15501 63482\n24710 38091\n12070 46282\n1627 80020\n28817 65498\n3433 81122\n15514 37564\n9367 47752\n6551 58107\n23086 85333\n19739 23432\n39834 50671\n5643 94001\n10189 98679\n21177 52725\n4373 13162\n17150 47578\n70270 79304\n65986 89204\n522 83881\n2819 82323\n66333 88873\n36338 71676\n1317 84077\n14932 99623\n19636 59411\n79419 79747\n85517 97752\n14800 83438\n13947 26912\n20250 25636\n13046 70560\n46516 61051\n13208 20693\n5595 40834\n70047 94325\n4022 17395\n35332 64799\n34217 63785\n5609 76649\n8354 63238\n3387 61448\n36347 49743\n21478 67544\n8410 42534\n26283 41581\n4666 6644\n28905 68651\n35256 87084\n59270 93104\n7365 45015\n6201 89072\n28769 70970\n10837 38345\n68388 79155\n425 71473\n10546 10800\n33266 44431\n32392 58330\n44273 53934\n13841 59943\n66874 97349\n24644 49757\n49832 95182\n75736 93229\n47187 61416\n35603 83308\n2276 6568\n24789 36886\n52565 66595\n70617 70924\n22969 40229\n20844 87623\n30301 48334\n45936 87132\n33693 69007\n52623 86101\n38347 66776\n73409 85487\n8175 43009\n21226 43333\n27603 59434\n23897 77613\n22917 24358\n5438 21329\n10131 66600\n3242 17235\n48095 66398\n68714 80542\n19587 39029\n35154 54116\n35566 47278\n546 69039\n37572 49666\n31283 38561\n10662 35468\n2304 55413\n31647 41938\n38804 39612\n5173 57533\n5545 66002\n7428 45233\n24731 98039\n1834 87767\n37344 69608\n4815 82996\n6076 13817\n22602 61596\n25114 26646\n76176 80624\n40866 60246\n57661 80440\n57295 74583\n83819 98363\n12316 73122\n27783 32857\n15466 28617\n17117 18741\n7820 63861\n63672 66313\n17217 72230\n24832 98682\n17928 37176\n10949 83443\n17889 44462\n67472 84178\n19625 83620\n16807 79086\n15223 85440\n20080 49735\n3633 10275\n42049 84461\n37998 67012\n39354 78028\n14421 97512\n8729 51373\n1034 82859\n4967 86654\n66389 84018\n37803 67790\n63050 93256\n924 51876\n21364 80812\n17355 22585\n50551 55547\n63372 75175\n33456 60436\n18075 99467\n79609 97707\n2371 24006\n4661 67151\n30259 49104\n21889 85215\n7886 45602\n31887 81920\n21841 28168\n77954 80549\n88580 90732\n13339 22791\n27870 93806\n31796 60065\n358 53085\n20729 34094\n4463 29941\n15623 57440\n25509 73654\n79 9497\n57369 92616\n42316 47683\n43376 94240\n16471 79260\n31759 98260\n75319 78757\n9218 89620\n68060 71413\n48945 59202\n42420 47990\n35561 80502\n34170 43323\n17933 28711\n20843 35538\n32812 81603\n6651 72145\n37991 70125\n58273 61652\n28883 30574\n50745 81053\n5482 10992\n2193 28641\n8086 69132\n1036 17741\n59384 61993\n73787 87876\n17250 56205\n30087 98135\n71954 85694\n2734 56080\n6183 46783\n958 55966\n13139 79468\n3432 10814\n62373 74308\n60486 69860\n55183 77225\n26992 39675\n38710 88973\n75190 94215\n854 94929\n26356 28750\n11354 51227\n52667 89616\n33182 56652\n46844 86911\n30357 45429\n25891 81751\n30782 86744\n21584 86200\n57343 74458\n23424 99276\n28897 80555\n9434 35004\n4215 58253\n6938 69343\n21814 48051\n23016 61793\n2531 50762\n63305 69545\n18670 99463\n23304 44247\n55839 94876\n51985 96876\n12351 65556\n4469 18215\n759 10283\n20866 25554\n29321 49411\n32794 95791\n9812 54988\n44251 70265\n32640 69700\n45288 59164\n53499 70946\n15735 32679\n23919 93121\n51176 92374\n58244 99444\n38348 90941\n25222 52730\n27967 30855\n24909 64268\n44225 89137\n37847 90714\n24207 35326\n18233 63803\n44652 89711\n4405 19307\n61315 82261\n62665 76028\n20750 65904\n88823 91284\n80488 88405\n73477 96185\n43383 52311\n38776 95827\n71936 94205\n16107 26583\n17333 20242\n17497 55258\n55101 86523\n42505 60148\n4009 94123\n70589 85721\n13153 76563\n44179 46973\n71256 89472\n21125 60322\n67790 79271\n34227 57817\n65272 65588\n10212 45200\n33710 87862\n45095 92780\n57455 66656\n33963 59280\n70703 77691\n54956 58350\n56556 74659\n20214 98673\n23959 91302\n52466 83266\n3426 69355\n3215 32477\n23461 56394\n35898 64675\n54070 64204\n7561 17838\n7035 86460\n35676 44414\n85284 98427\n17857 47971\n38197 45474\n81200 86138\n2656 45869\n17585 24444\n71823 91512\n12346 76098\n66009 85900\n315 38779\n23512 88995\n7097 55131\n73481 97594\n26047 28939\n56729 62421\n21354 57982\n40193 65936\n57953 90997\n9875 57744\n51989 64058\n59911 91382\n27958 75256\n28856 94315\n71352 82503\n80226 85060\n42474 93925\n32006 72840\n55082 90679\n383 23818\n36953 47839\n64062 82784\n58589 78116\n10565 34087\n13994 15235\n64376 92456\n9570 30345\n24089 56717\n77805 81829\n43092 54693\n895 59050\n13807 48050\n25890 68099\n51835 65014\n33110 53813\n12129 82614\n14992 64901\n5006 47171\n85249 85462\n32461 60713\n9772 45985\n22557 58065\n24237 57523\n20377 74748\n44570 84614\n27473 69826\n20635 35198\n84219 89836\n4613 4913\n11244 72238\n13999 31542\n8877 20812\n33058 40902\n10817 15411\n27809 63415\n27341 77508\n12822 55573\n95915 96921\n70193 99325\n64250 96964\n64737 76237\n74474 81177\n1381 59428\n5499 45522\n49453 80917\n41963 46448\n31887 32473\n133 74597\n28808 55902\n9661 87580\n27488 41716\n28341 51878\n43019 50910\n43167 90348\n79167 99791\n1608 50934\n3457 30433\n13476 76954\n18390 75381\n52774 99531\n13321 28808\n47974 64950\n29630 76359\n37417 48728\n30860 34734\n68961 95028\n29460 71002\n30999 69902\n20246 96651\n14133 59618\n31717 87829\n3666 34453\n54691 60384\n11206 51790\n31087 69969\n24178 38706\n52385 89994\n4648 59004\n32953 79734\n8585 15678\n3129 76440\n25976 47996\n30346 52930\n34844 88304\n8997 78014\n24411 44105\n48361 81301\n76865 83187\n88706 89598\n30198 90842\n20055 56416\n7612 59200\n38835 47188\n20071 35067\n89886 93680\n33803 78195\n9611 24550\n31461 40258\n14398 29142\n19591 55482\n40004 46945\n33235 46566\n34147 71364\n39485 99409\n10007 84213\n15504 60849\n27971 64484\n1083 18725\n65156 85911\n48708 70515\n36676 65246\n41875 50028\n28514 54734\n7163 43536\n39007 41057\n12993 74779\n28304 60497\n6993 89002\n34725 36891\n665 32499\n51448 95004\n28724 85921\n756 41195\n13642 90526\n54541 86460\n22847 34816\n65306 73332\n18183 48042\n19909 20653\n3250 24513\n51891 73689\n29377 57634\n30766 43738\n16548 55903\n24035 78758\n3259 78896\n78553 98208\n18764 37452\n6256 66846\n23790 42167\n16954 41725\n47833 49916\n1548 95807\n4071 41926\n69686 91150\n25773 65444\n72488 72834\n78121 94513\n92139 98681\n52749 78323\n59152 96689\n36733 50727\n91535 92590\n1 44421\n24452 71545\n23633 99123\n48089 70865\n8421 18370\n24172 27032\n71524 83129\n51141 85047\n53539 62955\n5434 33955\n12798 58175\n83197 84917\n76460 90143\n79306 88966\n43942 73041\n9142 92896\n83414 95468\n58889 77438\n76191 91592\n69872 82786\n37262 96197\n31651 40203\n51788 89452\n5217 42776\n45954 78925\n3914 7921\n63051 71326\n34092 37520\n20977 39075\n2071 85661\n31276 93760\n3197 46051\n4666 94826\n19330 27355\n35915 49830\n55307 61062\n41713 62434\n17729 48977\n7804 30909\n39643 70334\n10050 52312\n21813 84192\n5123 12495\n1169 27418\n69905 91975\n7773 44754\n22652 59902\n10624 49327\n14583 28513\n58078 97399\n28727 54398\n1702 48056\n66723 69450\n7572 15187\n1806 33248\n48538 64139\n25223 64372\n44316 99251\n39510 47898\n52820 61473\n7071 91397\n17933 93954\n64602 70231\n25920 63302\n32529 65452\n35995 68207\n86576 96221\n40870 73669\n30809 92846\n19451 92415\n12882 36059\n6915 88000\n1815 52598\n38079 75514\n1343 91414\n28732 34542\n36809 62105\n24747 68932\n9230 88791\n32479 58217\n62578 81955\n72303 89389\n77109 91295\n4950 10498\n59320 89724\n13112 44750\n61597 70470\n893 47486\n55130 85847\n29988 75605\n30069 62289\n6449 9840\n30808 68644\n8074 37785\n30918 95888\n1120 16746\n57409 98896\n6418 8829\n56678 90750\n40593 46265\n14360 99709\n12442 37113\n47980 65275\n33092 87386\n22220 87969\n3256 82662\n14559 51421\n7061 8751\n25298 38807\n41264 50821\n14719 56601\n25368 80092\n11999 69211\n2522 62563\n21525 24069\n35671 98101\n78071 90454\n30539 58953\n19769 77126\n47385 56683\n53764 69396\n18988 57154\n66676 82927\n48697 78736\n3383 63262\n37862 81679\n6712 78099\n22014 72950\n38221 69196\n39997 97183\n48105 94088\n66843 87590\n28024 63000\n13264 19312\n16597 78665\n59427 99154\n23898 26421\n35317 72701\n82094 96059\n712 15213\n45774 70664\n67625 69818\n20438 97838\n7520 60286\n6871 70083\n28202 59699\n48694 83917\n10554 77352\n18870 24243\n20412 98379\n62137 98733\n7006 14401\n36803 75271\n35512 86527\n52484 85686\n38713 42148\n21156 67862\n34210 73446\n53766 83072\n34284 48880\n46580 68286\n79 59383\n70297 96878\n47039 80709\n57606 79287\n28889 57708\n77129 90082\n10757 52780\n37859 41170\n5144 95019\n5496 77071\n71985 76838\n69005 85302\n40753 57062\n28700 29577\n33437 35084\n51257 61565\n55177 79365\n47741 72300\n50049 60523\n352 39845\n26180 34586\n49006 77396\n85609 89355\n31726 42093\n44307 56372\n54019 54423\n22037 64916\n60207 60466\n95251 99813\n30780 82871\n44264 72311\n21189 77059\n13957 58276\n60106 98910\n10512 18260\n62043 80607\n989 88954\n68204 90854\n30386 98792\n9225 65304\n19526 62822\n3753 82025\n6590 43681\n27467 98917\n9719 21459\n8547 94074\n75032 89238\n31544 55147\n32831 81163\n14054 26739\n40528 78065\n3017 73024\n11237 97543\n22761 95997\n17712 82316\n72586 86838\n12128 60547\n49422 60694\n41468 91355\n34672 81480\n50825 94692\n16507 30660\n58381 72873\n23393 25939\n41755 91107\n5271 27348\n20871 60563\n14057 84499\n19926 97048\n16383 98992\n47804 59374\n25731 40377\n26138 64753\n21166 96970\n31750 41255\n90689 92480\n9549 71993\n6365 76792\n61290 92348\n19735 31037\n3051 54359\n12759 19595\n61 14330\n42652 70012\n26077 68332\n54059 83792\n41110 49529\n60810 69592\n9771 12920\n14056 37229\n74733 96438\n24421 27947\n48077 98747\n34878 68383\n62046 81512\n6918 57851\n48180 59608\n76917 89777\n9347 19941\n47780 48277\n83994 99695\n38849 56051\n16716 85444\n42271 62540\n35697 60709\n15914 26347\n10765 82268\n81193 82886\n24753 43959\n23584 66564\n71101 88368\n28981 70419\n43507 67838\n27443 78624\n17872 24426\n55354 79659\n11569 11879\n66634 92743\n14918 47229\n18229 29726\n29803 32423\n8543 90790\n77248 80727\n23968 41768\n20188 79550\n5414 81610\n15044 55923\n11140 13358\n13342 27220\n56091 88443\n48592 54040\n44520 47856\n19872 90712\n51777 90550\n52251 87329\n64916 72306\n1177 35887\n36930 58545\n51527 69365\n33760 83234\n49392 82223\n62266 82949\n5822 23237\n54331 65227\n59129 61429\n34571 35261\n4563 45918\n16811 62477\n6312 26577\n41276 58864\n24194 49366\n25681 66135\n47392 89369\n57842 77648\n43238 57165\n35807 87906\n62615 75064\n14238 89359\n2004 38269\n33466 41492\n50584 51446\n35231 39135\n2044 55687\n64426 78751\n5905 81401\n30331 50695\n50424 69968\n13718 84817\n29555 86518\n3755 62179\n6694 36649\n26305 40895\n64735 86332\n13774 53783\n30712 50548\n11866 79238\n13242 96472\n89316 96697\n53193 75839\n17855 95277\n23841 42527\n54919 63855\n44771 90179\n67575 72645\n1515 43593\n15168 27820\n17487 58059\n2109 28231\n40125 67110\n65642 97926\n6866 68719\n56362 95782\n32122 99657\n42738 54352\n38449 55758\n57996 77148\n76062 80936\n14301 87703\n55639 66416\n54524 66574\n38354 58232\n1377 68153\n13119 42970\n40590 94112\n57839 76209\n73595 77225\n52844 69900\n29504 76608\n73918 86062\n20697 42770\n34694 74328\n17820 64034\n40628 44621\n45230 50130\n47892 79862\n8285 96491\n6917 49239\n39336 47769\n8742 96742\n15785 55900\n70123 76197\n54386 75244\n1354 59484\n19841 85033\n38644 63782\n45161 69537\n41466 76665\n18601 59125\n32689 54823\n72080 80649\n53117 67306\n44991 87322\n50826 88521\n84066 86144\n40894 51547\n68174 95020\n1969 97722\n59314 71875\n72799 75318\n84498 86372\n50409 67489\n53605 66429\n67126 71049\n38455 70147\n38145 77227\n36423 39694\n45323 84566\n73959 75331\n1238 96176\n27242 68112\n19625 53444\n2093 99681\n3167 10799\n88233 92596\n9382 12668\n71838 75988\n32815 69024\n21377 46571\n44584 74229\n45723 67160\n32007 69505\n26112 63918\n41482 67086\n4716 18166\n7974 77758\n3102 8316\n87879 91020\n8826 31079\n58936 71491\n59158 94446\n38158 98243\n35774 56234\n44017 52140\n11644 20939\n7024 88878\n37395 39905\n60829 71419\n79335 91161\n22288 35366\n36990 91933\n22495 62499\n19307 53726\n50542 90984\n39707 47440\n50224 94590\n13238 64333\n26104 33817\n40708 60810\n42811 93922\n67880 77778\n52394 78810\n19274 90043\n22812 26758\n39661 90721\n36650 70085\n67053 73201\n60528 97671\n49747 74597\n7782 21856\n18073 80514\n35637 68082\n3114 64175\n33682 84933\n15284 81508\n39194 95935\n60698 70867\n48679 50802\n19357 29414\n9416 46674\n34629 70340\n64838 78596\n69534 82521\n13165 30550\n63771 86092\n32690 59876\n25251 68491\n39287 98199\n13390 91598\n10911 58015\n73865 77241\n7978 28359\n13763 18997\n42608 60249\n51233 71218\n28075 40496\n12690 51242\n75564 98738\n34744 80167\n64767 72371\n1483 71797\n72991 75284\n48352 95281\n2438 75111\n33284 97022\n35484 98356\n2684 26800\n5312 40310\n15249 70672\n24103 95791\n40139 50736\n1041 61681\n1726 51552\n89330 91144\n75425 93448\n5560 97083\n15780 76206\n9211 57958\n20160 73139\n57074 93585\n68571 82184\n15584 74494\n9182 56145\n53950 56107\n33785 43949\n77366 91669\n46792 86751\n7998 54894\n55871 61506\n20141 56226\n27484 66484\n55722 71535\n27521 70332\n20022 48991\n21990 80192\n29561 86534\n32348 74916\n41615 47608\n8792 53714\n23241 65580\n8253 36082\n82995 93881\n5035 36418\n9969 65767\n956 27467\n32150 62364\n18676 74891\n38296 64200\n20666 62248\n16018 66461\n24662 29718\n17435 79415\n23684 46110\n33163 34442\n20126 64062\n34425 41992\n68 96300\n28911 38352\n71657 96754\n12097 53411\n71798 95522\n5916 19062\n86779 86789\n9042 71107\n81332 90213\n4084 21345\n50590 53612\n58615 83956\n26941 42124\n42297 86305\n68620 91914\n18959 42330\n24911 47767\n60296 75388\n32126 38173\n1449 53130\n51743 63651\n6617 80921\n24219 88185\n60986 77826\n69989 87032\n39074 51448\n48222 83662\n18711 35789\n65595 77895\n23858 99053\n62052 62438\n66092 69724\n15960 77843\n22075 62862\n17761 98773\n25973 55196\n40766 88345\n54621 71909\n54706 68171\n48745 58035\n29016 31787\n1245 31338\n38227 87633\n23560 90309\n50982 65377\n14853 15313\n17651 94783\n23646 74881\n67475 80623\n52019 97372\n38863 75188\n68098 93529\n25613 30535\n10790 91974\n33391 49941\n604 90509\n33374 42377\n19188 55126\n2886 54004\n2547 53671\n43067 82333\n34714 76555\n23051 77942\n53605 86295\n8445 68664\n42060 48221\n12118 36050\n16985 20002\n85340 97357\n9551 81542\n5599 83176\n29149 82243\n24601 83692\n60656 71867\n21902 95042\n72242 78874\n5177 32732\n35143 39040\n79075 81225\n44000 52157\n56127 78953\n95961 99991\n12183 24154\n62161 63388\n18690 36512\n6232 9696\n39070 89418\n49919 96288\n33163 97545\n43902 49204\n48147 88663\n33053 51365\n95793 96766\n66582 82397\n4893 60347\n35289 71743\n23284 35819\n9112 75302\n67546 79267\n32794 48927\n69168 74796\n16597 70202\n10767 85803\n51803 95226\n9674 14441\n19303 25674\n39775 76909\n36132 65200\n41262 72939\n8557 11754\n18601 60410\n70891 81960\n89294 97413\n7121 41293\n11654 89320\n3164 67421\n13845 79561\n69137 88830\n85204 88810\n31199 70250\n59420 88414\n39327 82238\n81614 95398\n47242 73033\n1171 73018\n37291 96884\n51618 95249\n9767 94867\n70053 84896\n52088 83909\n62301 78434\n15555 37132\n2068 21388\n80036 94049\n54970 58047\n545 18005\n54977 61371\n58637 95165\n68196 74957\n12655 90129\n27732 76895\n17503 68853\n16394 55836\n12688 53933\n38370 48908\n67851 82176\n48089 78558\n8888 39898\n18382 26776\n65162 66548\n5813 30741\n46433 63899\n12285 62456\n48726 65955\n51318 76589\n12112 85065\n49422 95811\n8844 14563\n35999 51317\n11308 75915\n21857 48067\n24880 51504\n13062 62318\n9115 50176\n41961 70583\n75625 84120\n4422 26585\n1611 64964\n46335 59804\n14787 55411\n16184 72040\n17699 98420\n11388 27774\n35118 70656\n36555 38778\n43014 89028\n33639 70834\n16209 91218\n72701 88048\n26188 52762\n36082 57156\n10537 28061\n39677 92369\n29422 98324\n10129 13758\n47042 47413\n70069 96142\n27843 41355\n14324 29156\n50472 90692\n20640 49597\n7659 70473\n23367 81525\n32875 45794\n42130 64630\n48918 76279\n40085 94311\n11977 84960\n71068 78076\n59473 76144\n36104 66766\n48035 52712\n60074 65650\n14521 74511\n39230 91786\n4825 57284\n40788 60259\n9723 69817\n31200 88576\n33427 50314\n39194 71719\n17940 34841\n26087 98396\n14083 67852\n9116 64874\n52206 86245\n26451 53720\n18043 79877\n41463 72192\n42731 85603\n17795 81845\n31442 56550\n2727 89198\n20514 55257\n38698 84079\n14633 54757\n58438 71961\n32954 46315\n35921 54185\n17895 57304\n52876 71746\n17651 50478\n4035 32698\n76210 88812\n17699 46008\n59157 70084\n26442 70573\n9320 33120\n18206 65101\n63714 72391\n10342 79115\n4853 39116\n13183 27346\n8523 47968\n51955 61231\n14688 76000\n888 31655\n16581 75323\n3593 70561\n27302 74421\n12340 52441\n64273 76579\n13800 73504\n71678 81368\n11740 27857\n1903 22651\n9975 64193\n4994 18432\n76542 83467\n14867 65725\n15281 72971\n60289 86196\n71179 75762\n3889 9980\n57318 71853\n8357 89649\n7814 25184\n6778 21644\n5563 66976\n35644 44578\n1382 46833\n47533 89690\n53965 93661\n2389 12557\n32844 41404\n23099 88085\n29211 39599\n6100 91659\n11921 80909\n61171 80424\n5627 24130\n11749 27250\n11034 29476\n67748 89426\n38343 45237\n12013 56185\n50176 81433\n7476 44130\n60763 62103\n25009 94973\n30072 76419\n25270 63822\n14081 45206\n28153 30018\n45239 78567\n6256 23547\n31198 37544\n6304 42145\n1061 7427\n70288 75168\n1137 74083\n45927 74877\n27773 73969\n7 45395\n15669 52779\n10175 41369\n7708 95347\n74966 78346\n6768 42315\n48453 74214\n43858 67848\n14907 16941\n66014 81354\n29783 71175\n3767 16563\n45763 59933\n30054 88499\n31360 57222\n63691 76712\n15704 39040\n1419 4255\n32677 95109\n16184 59945\n22780 44334\n8131 35017\n10212 70193\n59892 97471\n18608 47488\n13981 48972\n31333 55264\n40131 42418\n28015 39438\n18015 18181\n35186 76085\n66298 85693\n45604 97064\n4077 39095\n1713 73256\n37075 59296\n29264 32609\n63823 69383\n26960 70794\n53636 93870\n322 23221\n41224 68618\n75759 78830\n86250 86983\n56054 66357\n60965 76334\n37800 56172\n4718 30973\n12795 34926\n51429 70206\n73182 94475\n28750 38990\n15060 79959\n27924 91525\n60648 93220\n32869 51101\n52300 97473\n7815 82750\n63379 95023\n15984 25273\n37734 87393\n58951 78549\n53839 89650\n5827 71527\n26670 54093\n76174 78037\n9387 82718\n83052 86461\n18768 62130\n17496 88807\n52623 62315\n32678 85338\n29036 57113\n60115 61985\n20665 49455\n7246 92580\n44355 81053\n58771 70651\n16181 83058\n16979 87833\n16428 77578\n26332 86919\n14311 32752\n997 80346\n24047 41195\n35146 60584\n71651 80403\n32167 94904\n58321 80400\n32902 75140\n34841 79704\n61531 99432\n12966 74154\n25055 66671\n57542 96885\n14672 39328\n65282 72562\n3724 6075\n61231 61898\n6295 98045\n77013 88312\n8915 28602\n24758 60802\n11415 13733\n34200 60921\n36208 94180\n13483 40277\n81356 90150\n40665 68904\n14604 88705\n64042 90644\n15763 94963\n17258 22485\n9503 57516\n22501 82169\n24783 42826\n66983 99936\n45302 85168\n54593 57552\n53513 63311\n28534 83087\n32281 60273\n61140 62218\n24820 33633\n7326 76853\n8630 39565\n5726 39456\n84078 91386\n23595 75985\n9676 75853\n16479 34117\n48604 75935\n56862 59792\n40258 52883\n39737 58779\n29931 40733\n10501 15998\n15322 72635\n2214 91852\n12940 88420\n8857 68727\n73414 79753\n15396 94994\n70503 71257\n52420 71416\n3979 62682\n58017 76882\n2890 92395\n7471 27785\n41488 69597\n33618 87183\n18407 32862\n29913 63165\n32717 85599\n25970 35642\n63250 73263\n6212 38771\n22327 88395\n29471 71105\n68581 72335\n5305 88356\n14576 48165\n26446 47181\n26947 67479\n16619 90774\n36170 59373\n43454 98788\n20723 22203\n40218 55956\n28320 41289\n69067 83738\n20682 59079\n18866 62940\n43783 97687\n18460 95359\n8154 29059\n12046 29445\n95226 98008\n24297 64632\n61831 89194\n17904 85097\n12564 56125\n31462 57235\n22307 57325\n466 97263\n70962 83829\n8720 87047\n6394 7386\n50665 97454\n24343 34326\n21507 59302\n16394 35693\n67794 73638\n10266 11604\n27317 35256\n36210 51953\n14295 30074\n27547 45588\n22330 88363\n41639 77735\n33286 75493\n47162 59404\n53507 80187\n45681 49750\n29228 55788\n13877 68644\n15456 75837\n40823 99331\n53615 94978\n7823 37031\n52899 88404\n59949 79494\n6154 25735\n87824 99596\n72478 99207\n9871 25006\n13867 27651\n20427 47645\n80663 90707\n1821 86654\n48441 89303\n63291 66742\n17298 24047\n45233 83060\n29643 91085\n28836 71701\n1097 34430\n90109 96501\n23406 94059\n29718 37268\n33274 90621\n28001 28925\n13453 79881\n21609 61050\n42686 85816\n23552 76572\n56430 58293\n71896 88190\n14753 67888\n16303 72523\n6776 47651\n50027 76910\n26820 99485\n2008 17655\n73759 79102\n47076 50777\n39798 69711\n6488 47382\n64690 75447\n86921 95155\n8725 50433\n67794 92959\n41411 72215\n70033 99968\n18522 94907\n73481 80305\n75833 96479\n33706 45045\n10275 79899\n42636 99401\n950 70652\n22969 92328\n714 81525\n16241 64456\n41367 43494\n47083 49511\n14951 37647\n66492 86099\n50799 92243\n18601 64024\n62619 64916\n26633 50877\n65535 66558\n30403 98320\n2620 69769\n32434 78549\n10023 59802\n37669 90385\n86290 96743\n31200 41873\n40615 95068\n22976 32972\n65679 96174\n29122 77951\n51299 74420\n4033 77494\n24398 46589\n30161 94540\n66 87490\n36374 65575\n9029 56490\n48066 62241\n37034 79110\n64778 90269\n74787 77760\n28778 65243\n26515 67727\n56782 80437\n46680 61774\n59909 69214\n12400 46782\n83430 98099\n5511 33514\n20967 25131\n21306 24876\n7745 66351\n39715 77655\n84124 87601\n12859 20727\n11217 43687\n93091 99971\n9730 64517\n15159 91701\n55544 67914\n24920 53002\n50043 66828\n12993 34914\n36623 53909\n18445 78472\n59022 95033\n43369 81293\n67351 88600\n11484 83556\n4639 71547\n31329 46967\n95916 98016\n17825 90135\n58867 67110\n16303 20309\n13150 61001\n32032 80128\n35715 94842\n5271 77117\n63529 98654\n32692 53152\n62615 68049\n31928 63503\n52450 79964\n82931 95436\n7634 13377\n69317 91888\n17124 64831\n3637 31565\n49521 65637\n4510 18484\n32020 58609\n78669 91010\n70976 80288\n89483 90512\n23608 60774\n11953 60289\n57603 84890\n34875 90991\n72240 82170\n18765 32175\n29534 42781\n12829 82075\n47776 56617\n21268 43710\n61569 74235\n13995 74936\n35570 96239\n45770 55907\n76753 84799\n66184 96433\n56575 72076\n46257 68038\n62089 75408\n13308 87731\n3249 46366\n19507 94650\n87515 88848\n35545 50772\n48466 52063\n14475 86443\n51298 51800\n50134 59288\n57028 83196\n31296 56078\n2854 20819\n28162 78770\n46899 80866\n29396 34239\n14228 85257\n27790 49598\n2808 18396\n45285 78508\n31895 90123\n5820 9486\n43586 75774\n24962 79878\n41771 65694\n43196 49018\n36355 67169\n78610 86040\n7970 26888\n45235 71221\n39540 95940\n16153 89330\n19046 76840\n32971 53269\n1219 53797\n41921 84767\n30540 93686\n42877 46901\n19900 62011\n26147 92722\n47297 76407\n10801 21702\n9568 54040\n16345 62766\n32333 83282\n26121 64681\n27125 51552\n88875 92681\n4817 45609\n103 29022\n21521 45312\n46340 91842\n9431 65172\n51282 78418\n18957 80712\n35039 55145\n33272 53012\n1379 52459\n57095 80590\n40293 95673\n39680 98102\n1082 74711\n2307 6799\n12471 48498\n17313 19236\n9222 40054\n47515 52015\n6040 20943\n69230 86798\n23449 38718\n25936 96123\n44865 51045\n18458 52227\n35607 65061\n15776 93359\n10800 19236\n2916 94645\n65976 92705\n7085 68807\n57655 86568\n38936 71959\n41477 54766\n18160 29948\n50003 77701\n7315 78723\n83194 99441\n29868 74988\n36309 78030\n50745 84407\n292 17092\n87757 90706\n13096 71272\n2054 13397\n71239 76023\n27060 31791\n22065 86206\n26710 84073\n27359 93935\n10193 98839\n765 86105\n56960 97877\n5176 14395\n81650 88935\n26024 27806\n16615 62923\n30043 40060\n5545 49930\n26499 76214\n4588 53901\n66492 77356\n74933 78318\n86365 90357\n25776 68806\n67719 96843\n32308 43004\n74843 77057\n21958 54988\n11773 92168\n60187 86923\n5199 9161\n37877 64164\n35544 82750\n17464 30393\n45547 62000\n57154 70448\n29750 44237\n76163 94493\n9406 21276\n12227 64486\n57392 88428\n24548 83502\n38533 97361\n19784 31661\n45041 94712\n54458 73243\n23245 71025\n72017 87757\n51404 79223\n27523 56159\n7861 9188\n58637 86700\n16523 79409\n39618 93943\n74090 83803\n260 2530\n2370 78387\n20725 83529\n4984 34395\n73008 90310\n17702 65028\n78273 79080\n50770 71295\n70182 87213\n60487 95755\n19377 51801\n23297 95540\n30563 35695\n31857 98488\n6285 86138\n10058 85213\n9731 37199\n51648 90323\n64845 90478\n63179 64119\n19368 70048\n50527 97568\n22557 45266\n13029 71765\n42255 97917\n1048 40491\n30846 64169\n44722 73062\n35192 52409\n46511 63412\n28245 89458\n59793 99935\n87659 96494\n61157 83696\n45095 51351\n48172 95844\n19178 84411\n8744 43798\n75334 86908\n52865 72574\n16352 38173\n3044 46114\n7330 88494\n22319 83924\n71570 89229\n17038 23359\n24661 37553\n77767 87582\n25893 91559\n54846 82788\n27058 39747\n54616 83980\n93585 97730\n77647 89329\n47233 67881\n54358 75982\n36429 38717\n1520 60569\n36414 63945\n6711 92363\n27085 61766\n46798 72964\n34215 40023\n30099 93592\n26362 61174\n23475 35269\n54697 60718\n23445 71318\n2529 63504\n81687 82666\n14069 69097\n75054 77261\n19833 83679\n23764 93800\n28643 49721\n9922 61619\n55237 80220\n43786 95872\n60313 90867\n42702 60143\n21797 62912\n19373 54187\n11578 56904\n29452 83225\n28350 99347\n3928 60658\n19619 41254\n56308 83549\n12257 93725\n828 78139\n39938 92149\n51161 55469\n67517 70160\n2711 98042\n11002 40216\n687 25615\n12497 48614\n75352 78708\n54025 91204\n51885 53513\n68808 84397\n18784 86704\n3751 25703\n15004 66818\n63961 75727\n43274 79518\n30481 37771\n15692 71908\n70013 84272\n26633 88929\n72052 95614\n40775 80321\n22508 73528\n28389 55325\n37170 39324\n12281 30365\n14459 45579\n23462 82082\n49977 84013\n14363 84630\n80675 84395\n11365 96324\n6579 8242\n39641 85905\n61173 72259\n57748 63460\n5123 75412\n16488 19084\n40381 65664\n23346 70756\n89945 97215\n38014 46930\n92480 96564\n90048 98603\n14662 36637\n90837 91524\n49073 86652\n3545 81768\n1388 95168\n3325 26114\n74557 86265\n23220 25461\n43563 74883\n15152 52729\n90472 92015\n48881 51692\n14196 52896\n8107 25454\n2924 72645\n7674 34099\n59338 70877\n33440 74574\n33548 49223\n18092 46578\n39740 85111\n88010 94616\n48855 97595\n10742 18828\n21141 58003\n18417 64265\n72598 81844\n6727 94282\n7957 85758\n14928 88596\n63563 71160\n50275 97482\n17330 23615\n21285 24196\n48028 96192\n45558 69254\n3992 65531\n2902 23617\n50556 84212\n57344 88408\n4894 92830\n69676 74997\n9899 90312\n7120 66554\n17889 29537\n33914 40281\n53460 70288\n6709 55364\n32180 45607\n20136 51875\n49637 90560\n45692 70977\n40286 75494\n43015 60794\n4619 98136\n92023 96675\n33896 59710\n55009 61245\n66914 88784\n2249 40105\n5555 61026\n45132 79473\n22983 62279\n52358 88800\n29236 68381\n39098 96706\n24808 71484\n21206 56669\n20178 92241\n43749 48603\n2117 3872\n47461 50045\n9106 51315\n55724 61917\n65076 68436\n34930 49249\n1213 76199\n1632 68964\n980 90953\n24741 36475\n22117 72737\n43103 57234\n32392 75638\n9130 57682\n33288 48541\n4808 44482\n593 40301\n27635 61225\n27561 73513\n38778 77012\n19501 48456\n1604 46096\n17852 73991\n61009 68690\n32838 54444\n18410 98390\n51190 94716\n35662 36234\n58640 94223\n31694 92449\n3678 91826\n43355 61176\n22148 62158\n9794 98520\n34839 36717\n22366 43946\n15902 42648\n3294 20711\n20334 80730\n14750 39775\n11337 92731\n16207 54563\n33850 74868\n23378 65884\n70887 71964\n52356 77168\n56238 92350\n58674 87212\n28644 83398\n1395 39582\n22064 49634\n4673 76473\n45141 56215\n73162 86932\n22838 48872\n49509 82738\n62675 77696\n4458 36766\n22659 94225\n63902 66544\n18956 40704\n4736 17922\n70009 98560\n4509 71265\n87203 93044\n12703 23715\n3729 27596\n20241 57274\n3472 75567\n12161 41575\n2309 25977\n9292 23827\n17930 39609\n30377 66380\n25567 35620\n57046 72069\n61837 88850\n18680 79803\n68372 88096\n39061 90216\n7152 47652\n17139 90128\n40043 52632\n83856 94520\n69258 91695\n12186 36904\n27649 29245\n74338 86620\n78232 78430\n17911 81052\n93754 98806\n34788 54234\n26063 36816\n6460 80351\n32159 94104\n36468 99659\n6938 80837\n21413 25210\n63458 93593\n2703 95288\n62022 62308\n46071 71214\n327 63993\n10287 84813\n35438 93770\n12143 97815\n7077 33636\n60096 66789\n41901 56365\n15214 71324\n59054 74079\n43632 92739\n61382 93222\n8934 81059\n85 57401\n20856 95855\n11168 45021\n8886 98935\n47042 47121\n77401 98896\n46064 53992\n17376 72698\n69688 92944\n39748 52784\n73253 97186\n31283 47466\n18884 61791\n4938 93438\n17435 24517\n25924 93864\n93206 99070\n16384 24744\n22218 55900\n27870 55815\n7546 15817\n53946 70913\n57874 80473\n57196 98153\n37433 68604\n5689 68763\n64987 81601\n40323 57789\n4813 76996\n11090 42369\n35150 92737\n53870 69511\n22754 83856\n5163 40935\n5536 37252\n3576 83809\n3891 23146\n29351 54862\n8827 68257\n47208 49571\n7373 26417\n41400 48638\n95172 97251\n81528 91945\n36890 64826\n21342 49789\n15740 21899\n59998 99142\n18798 56579\n11387 68647\n74771 85426\n86425 97757\n69237 76218\n45111 70991\n3223 49862\n30462 35206\n56444 78359\n3071 94262\n62655 68219\n32978 84780\n90196 93157\n36103 89132\n9280 23320\n19815 77827\n33857 72491\n35347 54772\n27221 67894\n16991 39840\n4116 21165\n3610 43450\n23643 90332\n6116 48531\n34063 56915\n16524 97757\n57034 68003\n13566 15505\n38247 58835\n75676 78479\n74117 87028\n63090 99534\n49428 56346\n87362 99105\n32249 92978\n11685 90044\n51517 73463\n11141 17566\n67147 85361\n74495 75987\n91068 92451\n21676 48631\n16063 39385\n11022 76120\n3995 6805\n36165 67430\n5613 15663\n50814 58899\n35614 82487\n25545 70009\n19057 31396\n26282 77010\n11043 59405\n24300 76314\n28057 39389\n19748 44032\n20066 88840\n35799 80598\n18590 53138\n1289 79849\n20532 63184\n79891 97909\n716 66219\n37288 74130\n56238 94023\n30116 72348\n29807 46620\n22187 33025\n13240 52240\n8125 54274\n19536 74739\n855 73163\n10097 59377\n78457 90783\n46002 69567\n46533 53334\n38921 84871\n34355 90320\n66666 99568\n70924 85109\n32690 72426\n55611 90697\n6228 33936\n17588 93788\n33101 44015\n30874 97070\n67678 74812\n33520 86251\n50301 63296\n29529 76349\n5716 11060\n36805 55311\n59361 93774\n64527 64568\n76111 96404\n18337 57373\n45708 80473\n70747 96642\n15749 57245\n4837 89461\n28161 67830\n29627 57803\n71344 99512\n14178 27587\n42337 96650\n52476 81200\n5074 30383\n8185 32733\n32649 94351\n20749 70057\n49706 87929\n27512 81701\n34841 69384\n25428 36348\n68787 70563\n17144 48767\n49663 67881\n13174 95067\n5390 73368\n17 60807\n53979 66310\n49981 98465\n15492 47023\n35862 49172\n17669 27526\n935 46765\n19349 88515\n9352 94571\n55242 91735\n65918 97027\n46025 46551\n16508 19615\n14907 21087\n39519 89965\n32035 90725\n7048 96696\n79223 94220\n59852 99902\n40189 77630\n12649 42651\n2197 82041\n26438 79359\n19419 69876\n44954 77909\n29194 77020\n41371 46962\n32978 76777\n95793 99789\n25420 68530\n31074 82047\n3387 23559\n3366 60554\n16114 73434\n11000 73834\n11866 67876\n23202 60283\n2912 85715\n45470 69669\n11829 80267\n14465 68002\n12054 13341\n4143 40861\n47247 98257\n11716 78910\n19886 72330\n20958 44071\n38793 51942\n55075 92208\n32660 70815\n32896 34192\n61657 66700\n930 7385\n9327 37230\n31979 73906\n736 60756\n23267 48012\n34824 79856\n38723 98898\n182 50954\n22450 36726\n46962 63220\n70327 71701\n7280 60916\n10155 17065\n85869 93278\n23827 85825\n45249 63271\n5241 16085\n9439 11457\n42918 91038\n7925 72922\n27069 82258\n68018 79379\n3359 69747\n5692 51522\n6991 80771\n3277 57672\n21859 44424\n17733 87215\n21032 81965\n78288 84241\n7650 23303\n8415 63471\n39454 98983\n13097 21489\n25279 84323\n19294 57947\n95370 98694\n4910 32480\n20617 93314\n30682 88160\n22773 58937\n20090 51988\n3129 8373\n56611 79142\n49387 75056\n1469 26253\n26433 62311\n52304 85048\n15971 67576\n31847 73364\n5687 78211\n11902 43592\n11418 24811\n9789 26844\n38957 87788\n29915 30643\n30308 60178\n30671 63754\n27354 28809\n7099 21392\n2699 41461\n685 44081\n34556 41555\n70810 74781\n22708 74227\n10626 33795\n3305 77933\n13972 20219\n10869 72079\n9008 75998\n5446 44291\n50832 99230\n54528 71274\n34670 49825\n16390 78519\n2263 54403\n40728 71849\n31448 42178\n34903 85892\n81419 97649\n12235 60903\n46458 70944\n723 80680\n14039 26965\n47072 63625\n28962 33609\n51475 81357\n7917 36118\n65645 88894\n43579 86458\n27863 61539\n5893 22642\n35882 89770\n65822 76339\n67528 83231\n57507 62424\n34186 41853\n5618 17355\n28275 73273\n22017 40927\n13149 53231\n42069 56459\n6866 23138\n82808 86470\n23476 96556\n9976 80792\n6539 29231\n17157 29019\n25906 42678\n70745 94147\n24415 28790\n2626 58025\n8431 26816\n11716 60033\n3423 86839\n34234 55743\n76777 96982\n23544 92443\n11268 32550\n63994 84188\n65291 95806\n51012 86482\n57846 79924\n29183 50589\n22634 70286\n2112 57392\n71531 75753\n76069 85818\n64613 77553\n12637 53889\n1296 37502\n77121 87096\n38192 84634\n2371 5281\n15988 89263\n47380 99539\n8355 81919\n42825 57476\n18605 23567\n7279 52550\n354 24980\n34826 41496\n4999 23638\n72979 80160\n71979 80249\n2268 3102\n92277 93274\n21577 96311\n32466 79151\n57691 78217\n31727 76996\n31156 46672\n14258 78020\n49720 64437\n27244 31646\n22635 60887\n38310 91485\n28023 64190\n4495 92517\n21566 39387\n4083 73529\n5777 93714\n31827 84979\n59900 64630\n51218 86881\n15138 72945\n34114 72181\n51837 94349\n12387 75072\n51324 85829\n10126 25203\n3029 25024\n17659 99421\n8696 18307\n61644 85557\n82031 89983\n55437 61326\n55643 71336\n62023 88549\n12479 74863\n19408 79642\n39784 98942\n18061 96002\n3383 92836\n63296 65739\n30560 33961\n62531 64927\n32626 59501\n50296 80329\n25685 69187\n81084 96277\n5159 76145\n66091 82014\n7148 20306\n17899 96676\n38126 79559\n53144 92887\n17369 91380\n10657 87080\n5984 58566\n73927 94400\n16644 72665\n23174 43414\n42931 61870\n15378 21912\n15917 45443\n65754 85638\n33643 94928\n44805 92032\n82328 92101\n29888 42960\n19197 45328\n46438 57923\n40523 85874\n10832 91635\n18222 26307\n66214 77643\n23293 92481\n25991 98970\n68785 80942\n5035 83449\n50722 78336\n35754 48577\n54740 78635\n73972 75322\n46071 88365\n34112 70194\n4671 54603\n27231 37530\n53233 82050\n22964 53598\n13847 91226\n56315 62602\n75428 83763\n4532 50902\n26513 89875\n79254 80658\n8115 32933\n38651 51682\n29081 37922\n12088 43397\n12193 83790\n30145 58021\n79842 99725\n11480 58476\n4198 92254\n42657 52356\n66536 97789\n11053 33825\n5035 59862\n22550 72323\n44163 73351\n29534 87856\n40941 42127\n52984 78273\n9910 58477\n9863 10720\n10001 65238\n84247 85483\n13165 48977\n63454 73162\n8770 80327\n14718 34504\n76251 98488\n27445 85737\n46745 72005\n26728 45298\n14169 89331\n59041 86767\n40536 94529\n37240 45524\n17116 44198\n16915 45325\n43778 80473\n34994 71673\n26896 88540\n27828 29921\n424 92804\n25785 65354\n12987 17148\n37865 77169\n6802 53690\n67556 71289\n1833 45907\n50232 70082\n7378 35031\n38123 71860\n33772 82593\n67031 94760\n10116 92520\n62841 73687\n39819 80244\n7067 51880\n80441 91797\n33013 48807\n22113 23084\n61306 86795\n54012 91932\n69487 84742\n56400 80790\n2812 31899\n6868 98720\n35776 50535\n41098 72362\n56272 56690\n22267 49234\n10507 20588\n13714 27593\n3699 26034\n15594 32923\n57014 61926\n5462 34877\n9048 48272\n33826 79361\n3351 4526\n41456 71891\n12698 34237\n3729 19688\n12995 81398\n34827 58117\n10127 56557\n758 30732\n12609 22183\n85254 86157\n19697 21246\n54253 61003\n42440 95242\n35864 64526\n11063 99755\n79014 84968\n94255 96329\n65394 97620\n14085 24847\n7457 16444\n21442 46623\n5751 16933\n61181 73886\n90151 99087\n7063 39784\n83914 99102\n45988 53682\n49946 71958\n58759 96150\n14588 41188\n15575 81230\n25587 57594\n69644 92003\n4317 22051\n44694 60026\n63679 76251\n19890 46227\n8088 61979\n75151 89451\n7215 12146\n10950 83369\n13130 99245\n31277 68424\n48571 97542\n12693 85191\n2667 50404\n41440 61449\n43332 81142\n64353 76836\n6850 92318\n4980 56112\n27803 69790\n18816 34853\n67787 90045\n9403 24017\n11402 99181\n60481 65389\n6358 61487\n13625 78855\n5904 74070\n70824 75094\n2029 13158\n30141 50662\n23108 50744\n30586 72247\n45569 51922\n15098 82019\n40940 61478\n52464 70642\n36476 98696\n10402 68193\n7607 84381\n35708 57655\n16594 73018\n1940 33792\n21558 39808\n14247 46070\n332 38927\n11418 93859\n40342 43702\n4059 58132\n15620 26201\n65982 68563\n2397 12101\n33136 33560\n65226 93729\n51087 84341\n405 2313\n32637 92917\n41682 41726\n54188 82758\n50631 59234\n42396 73506\n1142 81145\n60364 84792\n56282 70886\n50250 71957\n47914 61909\n12802 23414\n20580 88731\n46188 62467\n901 1484\n24242 39666\n19258 84360\n47078 87667\n25737 66758\n55433 91860\n17373 17528\n12474 73562\n16948 29916\n28633 68739\n15083 68017\n6961 17973\n53780 53866\n19295 84079\n11352 77051\n35628 84626\n22478 45663\n1533 50574\n9824 16886\n28384 89630\n24225 55590\n59370 64583\n42979 88071\n2131 14140\n69937 97782\n41325 86838\n83123 96370\n6899 19602\n56547 70278\n1152 61061\n36692 75464\n42042 87369\n56819 60661\n78084 98041\n92413 93993\n69247 87674\n19832 78723\n14577 38903\n15459 41651\n78840 80981\n36505 76283\n53584 63263\n85398 88507\n25631 44497\n11985 94059\n3586 22516\n35754 74430\n49263 65830\n6778 26742\n77442 85180\n4275 40005\n37150 87809\n50938 98179\n31084 83244\n237 6699\n26869 76302\n35722 76261\n66538 74186\n63801 86780\n6292 51746\n35213 42963\n17981 69648\n82972 83316\n1186 79117\n37040 78273\n16349 59031\n16117 87893\n26123 32392\n18922 57375\n26153 48549\n70538 75894\n16659 28487\n1828 66075\n9659 56083\n49231 84827\n10872 96749\n62849 66370\n26885 33930\n64181 93792\n65861 98199\n4141 73323\n35897 92554\n14265 18010\n25693 66380\n88331 96785\n3775 60209\n45495 98942\n78136 82764\n58294 61324\n27793 37559\n15726 19762\n34967 80074\n39056 48858\n41486 55048\n65673 74656\n36830 53916\n17772 55901\n49394 60595\n38512 63151\n21643 25852\n62904 76223\n4192 4405\n48573 98123\n19896 69167\n16092 49938\n23221 43347\n17257 59004\n25869 27972\n7510 87395\n28385 33457\n72531 72600\n6411 42290\n78620 99511\n10264 72614\n29342 46368\n12705 26482\n24340 63540\n47760 68018\n19149 55296\n5247 15954\n23997 37897\n41365 75293\n622 12094\n8670 16658\n2886 59743\n21969 64683\n20908 50049\n10800 26795\n21541 70223\n8684 38985\n76748 88079\n15815 82700\n23696 67494\n19177 99808\n39816 96254\n70699 71077\n35572 82670\n14624 88882\n78107 88006\n33233 55846\n8790 74926\n69382 82016\n10495 29404\n13256 96809\n1832 67821\n35458 57602\n14719 43694\n2048 43831\n25343 40883\n69761 88910\n29182 42418\n31051 78859\n9959 18415\n64865 99897\n90974 93357\n14596 63898\n22613 71971\n37221 43240\n4334 10980\n55935 97389\n65481 69600\n3845 13607\n56074 83389\n56553 66589\n75220 77555\n9679 21844\n17561 89648\n56715 89503\n34291 64606\n28378 71213\n15622 75532\n13259 77063\n4101 55452\n56831 62916\n32629 48300\n43469 59505\n39822 43475\n20850 96619\n7809 87654\n48327 54473\n5681 98560\n10299 85109\n66265 82858\n52668 65906\n2215 90338\n80098 94666\n17085 27643\n55325 62589\n35565 94035\n31737 64921\n8633 72985\n50072 90831\n17821 40732\n7900 72276\n18445 46250\n33345 68104\n1828 95118\n89506 99286\n50552 68011\n34261 88714\n28178 65015\n30839 98436\n21435 30912\n6106 7930\n30173 33844\n47031 70101\n44956 51588\n1184 25798\n2862 97456\n6786 17153\n12465 99104\n28228 99920\n70739 83818\n19132 35164\n59465 85885\n63012 68909\n25321 28250\n60967 65528\n59728 89818\n77703 99717\n20054 70815\n31727 83110\n51756 74844\n24660 68597\n6947 68899\n79707 86151\n5461 30000\n31510 81069\n52799 75994\n40400 88677\n56262 59490\n48326 74452\n24495 36124\n53787 68948\n44140 46610\n51097 79619\n6838 57025\n21504 37703\n3870 61166\n54069 54712\n75659 88681\n33485 93088\n42909 56245\n78813 92333\n12255 26330\n25236 77129\n31257 94495\n15686 38217\n43884 88508\n26205 85942\n57540 91917\n60711 85563\n34637 62062\n4475 13599\n5655 18549\n39072 72243\n8653 35620\n6539 64890\n29352 85662\n21721 23799\n9097 85030\n737 61164\n55019 91051\n26828 94066\n15641 30272\n86642 95148\n45510 96147\n3429 44470\n2677 7728\n17203 31987\n17745 89137\n31999 49773\n44820 66044\n28596 58075\n16866 61715\n5181 22883\n41889 44643\n91731 97131\n19983 81118\n179 20669\n19370 69587\n54171 56363\n43493 58733\n20496 58991\n48562 92685\n16785 81803\n5882 84700\n79711 97732\n66045 96157\n14569 27579\n17414 85167\n72686 91372\n61312 85503\n5049 45753\n5431 77284\n33978 40061\n5680 60589\n12081 58233\n78629 84311\n12696 51112\n38439 73579\n44162 73892\n93371 95909\n29951 97485\n2719 69668\n4297 96929\n1125 41300\n20037 77147\n24809 36864\n79814 97099\n26949 95007\n16429 70565\n45519 95996\n47335 49706\n11719 61620\n78392 87391\n32031 41356\n69084 91756\n81753 83915\n58943 94583\n5062 60541\n40589 70171\n60881 75888\n46379 88203\n60184 83211\n84178 87043\n67063 83717\n67024 99404\n34111 72869\n16013 57788\n7761 83840\n62476 69649\n67385 68263\n41249 47396\n36230 60113\n3863 35679\n47811 87726\n6191 54187\n20604 53163\n17465 66719\n41168 63209\n44697 64823\n3664 75120\n48922 98635\n25372 35403\n69890 99024\n59273 66355\n37788 93949\n64510 91849\n4948 14267\n1653 82263\n3525 6441\n22030 26519\n23030 88443\n71842 73995\n32119 69004\n50316 83227\n1831 54621\n12311 45069\n36437 41722\n9521 38402\n66661 77730\n19255 98420\n16153 59368\n26358 29340\n39449 79310\n15076 47767\n23208 89884\n76118 87448\n17121 22842\n77658 83891\n93061 94801\n16536 90226\n43013 45751\n29190 67419\n27901 77001\n39241 92435\n1941 29288\n28653 33025\n38401 65217\n14618 74057\n47348 99418\n19258 90095\n62 66487\n4106 89193\n61373 67855\n10349 84609\n58744 75557\n36980 94047\n88003 94925\n34291 56250\n27890 76430\n24494 97989\n60035 60096\n6294 93973\n54218 84603\n12989 99589\n25662 80414\n22798 47944\n16254 19543\n52558 66757\n5945 32641\n7354 74042\n5498 82327\n44217 87558\n38215 59987\n19798 31196\n15600 91068\n66481 93717\n62122 92209\n2136 77251\n52410 63000\n54631 87711\n64009 83287\n46572 88121\n33565 49520\n68689 94395\n29399 63860\n26057 87305\n44536 98629\n17118 72134\n20360 63030\n40607 69951\n6806 24239\n24064 53454\n4678 43107\n94334 96515\n41295 94019\n21895 79665\n10353 84799\n46510 82255\n7786 19810\n56357 85386\n44408 71916\n45343 78051\n27997 44857\n44013 60001\n51657 62663\n24844 54631\n42190 50088\n13295 54535\n59972 79292\n4458 36987\n19170 50241\n44182 63886\n19434 69608\n18329 35262\n3992 71966\n14381 24286\n30833 55373\n9231 39159\n1793 74635\n24485 54954\n58612 88078\n15072 86961\n39709 53885\n41497 50117\n11113 55886\n5281 87049\n13790 90270\n16096 57377\n42597 61659\n65665 89894\n19232 69457\n41187 66452\n4523 95804\n37587 66917\n50045 72818\n66746 95097\n16689 43563\n58991 79363\n2898 97902\n158 91748\n29599 69603\n25184 87901\n65043 89034\n9894 92002\n24098 85502\n45271 99774\n44762 47929\n6072 46836\n6862 52554\n9195 13803\n88267 98020\n21003 74690\n61693 70125\n17524 87043\n68056 70816\n42672 70514\n5527 60700\n16299 32463\n16861 30239\n24630 57476\n57170 88576\n62329 90101\n24789 77783\n45525 47090\n63033 71665\n29718 34069\n26949 79201\n5419 88932\n34170 54820\n17992 81195\n60019 84131\n37347 46172\n65511 70858\n41319 87985\n54736 90867\n3646 88973\n62722 81886\n72942 85757\n49444 56486\n69488 97184\n58703 94563\n4178 56782\n56 94057\n25693 34099\n94565 95083\n12084 24918\n40602 74962\n23380 35251\n20856 21075\n42535 57132\n4627 68405\n55175 93966\n1117 10706\n9434 87933\n16401 36459\n11066 52590\n33074 99181\n26590 74069\n22177 48499\n40473 40587\n13982 88855\n7888 53397\n32668 85765\n5343 84397\n85650 87075\n54864 70392\n47382 90685\n78304 95795\n28132 93122\n32156 61820\n6553 48363\n14472 21832\n13458 88390\n49509 57933\n40724 86803\n73245 82971\n3675 51764\n31359 98513\n51932 65289\n41721 66790\n14792 14935\n28630 73183\n6230 31734\n43834 58334\n48996 67622\n40185 69362\n52814 55103\n5994 95966\n10971 11865\n2678 89541\n7149 53121\n8741 60815\n17561 49510\n4125 36939\n10783 16074\n67855 88644\n45679 64844\n83261 94902\n15716 95773\n13842 40960\n3581 75748\n83542 95504\n8752 63339\n49796 60340\n19408 43884\n5684 64291\n45056 82272\n37528 53921\n64592 90376\n73410 78067\n13413 25059\n36805 97553\n11150 97665\n58455 62829\n67164 96166\n44544 59151\n47158 81040\n17572 63127\n21709 86919\n12077 93045\n52693 82405\n45793 61491\n4680 92117\n65485 90357\n9579 27657\n22405 36864\n35053 99655\n831 85616\n36951 93923\n19477 72493\n53304 76723\n30877 78509\n41435 56923\n20013 80219\n20444 57901\n7504 78325\n4057 27326\n41828 94341\n30202 44716\n24605 72219\n25383 89696\n52525 60157\n11611 21214\n2860 96804\n65650 83888\n3805 50399\n42553 74278\n13551 78413\n35366 37686\n18182 59203\n31454 61347\n15909 35781\n42417 46802\n83873 92904\n6789 7853\n23187 77866\n55513 60548\n54636 83743\n2871 91995\n37832 87022\n8826 48097\n8791 68024\n15424 79220\n31573 53849\n57184 59951\n6603 7856\n25022 99720\n21757 85813\n82573 88096\n62001 93894\n17129 46762\n86945 95456\n9754 51923\n6003 77478\n43285 67724\n12128 54150\n79312 80423\n39774 87302\n82899 97540\n42112 62861\n10872 50738\n35511 38891\n79433 83219\n45 45085\n29157 69887\n13368 33897\n23415 88220\n17401 28402\n20843 31620\n4552 33367\n6144 96032\n2549 31374\n64368 99249\n59136 76884\n20023 49296\n50562 97484\n23376 29418\n37184 38385\n76638 98097\n13053 92661\n3777 31991\n23229 24931\n27305 86938\n18198 55586\n11058 36993\n69994 70995\n7856 68804\n12327 93357\n73807 99398\n7484 81505\n35590 83822\n13148 18314\n21741 65314\n80391 87444\n28162 94247\n3294 61962\n6179 45089\n5623 28589\n57966 91892\n2069 71572\n70442 75144\n4331 76305\n15003 33586\n34371 69473\n17896 99262\n19060 84981\n27261 69034\n16905 87192\n73084 76689\n3944 53267\n12132 68019\n7788 28281\n71377 76855\n53750 70122\n58957 64835\n46839 55341\n4604 90983\n29091 40295\n3286 66052\n63199 67158\n10932 31446\n8902 52548\n84889 89239\n50139 63822\n22858 75746\n44238 71396\n431 93924\n33103 64478\n59973 86336\n15930 71835\n33293 55994\n52359 83085\n33529 76980\n6239 11840\n2402 30338\n6753 45647\n29321 67062\n62602 73873\n27992 69457\n34659 99027\n39897 47291\n43794 70256\n71867 85125\n28652 64732\n45317 85195\n46276 58700\n39642 84654\n78765 87827\n19074 47884\n53477 92006\n59278 65269\n18991 46786\n73286 86132\n32605 49702\n23182 65005\n45848 47899\n75294 94699\n84711 97617\n30313 96099\n71803 97578\n25338 79082\n20102 42452\n43900 47518\n10108 73885\n14796 20238\n11877 56875\n37836 99847\n3310 24305\n2558 24577\n14521 23975\n16405 38728\n42428 45139\n38700 72857\n856 2428\n38283 60797\n40314 83685\n86014 98291\n68737 99608\n33130 75385\n35603 46167\n12120 89859\n40476 67759\n83468 89040\n51676 88504\n93603 95145\n70169 87034\n21039 78608\n5464 70433\n14683 43119\n5220 78682\n81181 89619\n3736 45424\n61924 62026\n12798 25806\n19995 85167\n75695 78977\n41169 44062\n21956 49891\n25798 30780\n43032 51087\n20587 77979\n18620 59433\n56306 70333\n25715 57315\n16179 27347\n2363 12970\n58620 82246\n44987 56050\n45735 51743\n10542 64327\n17711 90771\n58764 60865\n1185 31749\n80316 93532\n42174 75891\n86576 91940\n67012 90141\n15687 73930\n57016 87982\n49929 99368\n20387 93559\n43785 90450\n40722 59822\n15025 22181\n38440 68143\n19349 36799\n38309 95991\n54973 76782\n60871 62135\n1631 31212\n9683 13778\n55148 71434\n56734 59192\n55308 67687\n12180 60359\n49811 94662\n31440 42337\n34369 93724\n30546 30800\n86205 99783\n77913 99172\n8937 74101\n36524 43442\n73709 96159\n67659 93692\n17819 89288\n40138 52688\n4668 55883\n13324 30164\n13916 50906\n47226 81298\n66799 73249\n5167 11116\n60553 84385\n75082 82360\n11619 49405\n63158 83649\n52327 70358\n4348 76443\n5935 17677\n22463 78207\n8616 45701\n25148 26527\n39757 72725\n24801 66027\n20730 21768\n832 21500\n37733 84191\n18662 30855\n22451 34989\n80196 82878\n88504 92384\n90796 95685\n50771 78083\n37300 97530\n79100 99082\n49205 79490\n34404 55301\n5942 49960\n39764 49452\n47477 57758\n52035 87844\n7733 85142\n31959 53699\n9229 33292\n5954 47957\n6694 74204\n34262 77009\n32482 50514\n42329 55196\n1873 82464\n34110 94490\n19024 45553\n10701 63922\n51050 85065\n8694 93671\n45785 84272\n9361 19744\n8959 86366\n60608 76497\n62747 71801\n50417 78509\n28302 95086\n5742 66503\n47907 73233\n41930 55094\n83009 98684\n39898 87772\n28676 56918\n2 43834\n62521 65889\n29580 62837\n41616 98607\n18554 99087\n62958 94784\n23352 37089\n75786 82840\n23411 74934\n21331 51613\n17305 93910\n8541 23346\n73763 77125\n6387 52176\n23124 82523\n9121 55637\n1408 6850\n32325 84246\n1863 9355\n71677 93569\n35858 44113\n15423 81868\n38205 97483\n10176 49671\n11586 18347\n24608 57268\n20416 75500\n68286 92418\n58178 93144\n73978 91559\n11164 82496\n19079 63827\n17216 73106\n4242 26456\n25559 25748\n51741 84280\n51142 65193\n24864 93180\n6523 24811\n89674 93481\n19261 85017\n36737 65417\n7 5564\n69083 92818\n61191 94383\n11817 58522\n65600 91744\n44304 84119\n2769 8904\n31729 55154\n7799 16131\n28770 70144\n3772 36682\n12357 21082\n77538 80341\n72405 74562\n75821 96040\n16337 64841\n44831 67121\n16580 70562\n41358 61984\n54436 90922\n73871 86651\n13594 78138\n87984 97510\n8427 13943\n4385 84798\n46998 73812\n744 62881\n66936 74285\n44304 77479\n38552 81738\n70950 95219\n46825 52150\n49565 84238\n59004 80257\n4498 17960\n89 20196\n45989 87756\n40045 79099\n7762 51178\n29196 98519\n22909 70101\n38458 41823\n19674 35818\n66366 77672\n86236 92160\n6009 86771\n59576 71983\n40262 92390\n15807 50227\n41160 64981\n33035 94831\n62706 97832\n5733 86066\n84669 93121\n12768 47098\n9652 19243\n89385 89530\n66432 77445\n38204 46583\n92132 92416\n16872 33247\n1706 6376\n89 56474\n50876 69914\n18182 46281\n36317 74929\n63684 75212\n36431 84594\n20634 35109\n48062 56471\n79041 91234\n4971 25704\n53616 72372\n75993 95009\n30201 82664\n2962 90819\n74496 94175\n42520 89656\n36160 41677\n42953 82138\n44033 75812\n21160 53231\n11793 98209\n22731 91717\n33740 63030\n56793 74213\n34877 75670\n11268 50715\n47409 72876\n3850 84456\n50069 71705\n37356 61809\n44923 52334\n13021 66833\n27085 54636\n32565 91749\n87002 99999\n10231 35583\n7575 30797\n77893 83635\n6935 13753\n3949 54932\n63741 82067\n14326 94315\n30742 51568\n793 21474\n29249 91392\n30685 81596\n25788 43307\n50676 98515\n11450 16435\n39316 39919\n8580 21981\n35754 71428\n53415 71677\n3840 43779\n77584 97531\n28398 70083\n33733 40314\n13189 76536\n55760 75841\n368 27696\n63595 86322\n10462 19834\n1685 58337\n4087 78243\n37492 58128\n27082 40704\n7049 65257\n19728 65655\n23511 80226\n55975 98635\n20080 72013\n80136 82630\n3802 64472\n25757 66042\n69720 69996\n35353 94493\n20673 60642\n52295 56157\n30424 33101\n2825 65827\n3100 65530\n81800 95947\n24692 74732\n65933 82291\n23007 88486\n23488 68725\n45352 93692\n85229 87977\n13289 69967\n14585 89053\n31614 49902\n59612 83468\n23353 27809\n85784 89370\n52510 86525\n27519 99457\n17810 30823\n66361 71534\n55026 67577\n16120 61696\n39041 53548\n92167 94412\n38640 62755\n5128 91922\n52932 93747\n33143 78097\n19538 28074\n68672 83447\n44425 89522\n31227 92858\n53911 74092\n45029 51927\n27129 31928\n58263 76219\n73167 75520\n48320 54697\n85107 89508\n6955 54944\n51011 53274\n32221 83609\n68057 80976\n40963 73523\n52972 64489\n52275 67199\n30810 44034\n39090 52765\n32047 94857\n5845 51564\n43664 64716\n89260 89291\n24861 48751\n41582 80223\n4564 91487\n30371 45006\n8587 10447\n14015 18714\n28175 28445\n4830 86238\n53814 70394\n30831 91413\n17521 52014\n32290 88056\n2937 60971\n26473 54640\n23815 76484\n2380 10992\n8543 83712\n23401 97943\n57373 99798\n46076 79447\n13874 95302\n73198 98667\n48808 63588\n33254 73514\n1552 51885\n99554 99700\n32654 67469\n40727 82883\n23264 37880\n13642 38746\n65575 80443\n14885 72431\n12736 22032\n22966 30125\n25501 98192\n23382 32402\n15412 44590\n335 25595\n58411 70386\n680 81139\n17549 85259\n71992 84147\n12746 18751\n7940 49913\n35480 82054\n5255 58365\n5597 63552\n36888 80159\n73372 95392\n38713 84479\n23423 72746\n41172 91619\n4220 90993\n61411 84203\n9390 15554\n24703 49425\n54279 94917\n3909 61602\n24549 52989\n46749 58582\n86 97867\n2742 89239\n64549 96371\n35808 90387\n15027 41199\n5030 66744\n29590 96005\n31462 33156\n4444 73876\n56701 86051\n6433 15900\n11430 43061\n56083 63852\n48890 49101\n13664 81161\n53867 87345\n60401 85948\n22057 84441\n23619 84507\n30979 60701\n639 88046\n48661 78011\n78200 89755\n63672 97851\n42000 92434\n35202 63091\n51456 72710\n22808 73669\n52818 60327\n83122 97135\n26080 39209\n3998 34550\n23863 97504\n30967 47078\n13188 50997\n38027 90034\n36027 92929\n59807 66782\n27648 95400\n17717 58574\n42713 56442\n27120 33783\n4979 34245\n58727 69859\n28695 32453\n46644 71584\n17433 35722\n15608 38670\n71907 78620\n27908 94117\n24169 83592\n13217 40201\n28381 73865\n57766 98011\n48242 74244\n24144 97052\n1182 22001\n9237 88335\n48613 71674\n78374 88634\n30853 91929\n51357 67998\n8604 59867\n3688 8942\n49155 83005\n16288 19651\n66193 66311\n82034 94213\n17385 32549\n41127 50538\n26447 50092\n24792 32988\n54238 81896\n42458 85359\n17754 47630\n38228 90323\n6257 38160\n34788 72835\n12051 69209\n65551 81296\n51610 58102\n10397 18064\n1306 50373\n4191 64850\n4147 90047\n23882 47167\n4791 23553\n4999 19248\n23070 43704\n60744 77935\n81759 91027\n17460 61286\n23753 72968\n8837 9918\n22709 93533\n38073 90652\n161 42061\n3378 26224\n64435 94668\n33204 41071\n33250 70449\n31713 92271\n65067 83523\n35429 74020\n26663 71438\n9158 25853\n17356 56547\n42592 83039\n11642 20548\n70814 81674\n3388 9236\n346 56455\n73817 82698\n50811 55092\n5859 38868\n70831 99229\n12757 43743\n644 78400\n39281 98956\n20161 35082\n25714 81794\n2769 64500\n53699 83930\n3471 33071\n8978 25782\n36067 90560\n14094 46518\n11973 73716\n8510 42550\n7060 28111\n23068 27473\n31760 32063\n9964 96310\n12294 68173\n83223 98851\n51882 96237\n49077 75380\n35711 56886\n2085 14479\n44025 81591\n9004 56135\n5083 38516\n21799 99370\n35415 65788\n26646 41037\n40379 81547\n69749 99091\n64166 75739\n69889 87573\n64952 75629\n13849 32744\n45628 91887\n57007 82173\n14108 91915\n7664 43702\n36346 81703\n62377 99367\n3875 71711\n38510 60304\n83614 92422\n75217 92190\n7938 77659\n13547 74886\n19277 97225\n40219 49186\n29025 42680\n65138 80692\n15711 17542\n47587 78805\n16565 53761\n52229 60005\n7877 10956\n810 21575\n8120 41868\n1813 35320\n13941 90676\n32905 47816\n2243 17191\n19304 94438\n22346 50898\n58168 86059\n15429 70244\n56855 95883\n47873 83591\n23263 95760\n68551 77223\n24770 85770\n26397 27757\n39166 90759\n52023 78228\n3968 40449\n30119 71333\n47759 67356\n18716 26408\n34924 35256\n15435 87429\n4327 25267\n2883 50089\n74446 84440\n26309 30772\n33122 65060\n45618 92374\n47020 77453\n49760 53196\n60536 77349\n79265 87462\n26358 80685\n35767 76217\n3555 27451\n4934 98486\n26084 26173\n17935 46297\n9448 27280\n61703 84923\n32745 87722\n51354 79960\n25011 58245\n75338 81670\n1821 32553\n2117 42427\n39003 80361\n7543 84174\n54060 56733\n40963 59096\n23268 95216\n20168 77840\n43559 74747\n79622 83892\n1212 76110\n13587 19411\n52902 83611\n11091 49195\n66090 75702\n18467 22030\n45634 64397\n10210 99103\n14485 98999\n38745 95087\n6810 17604\n3794 85244\n5094 74686\n25257 72180\n29064 99031\n12837 87128\n6080 67438\n76219 76711\n44140 95647\n15000 48017\n32297 76634\n79533 81857\n37182 75423\n75846 90764\n3311 82885\n39065 98919\n27371 84478\n3108 27229\n249 28878\n67509 81032\n26981 75189\n27876 72102\n28591 91370\n47192 68990\n48430 49431\n2591 9545\n82611 84950\n6321 10805\n44653 81047\n46559 53869\n77336 96609\n37539 79175\n7524 61300\n46017 48787\n35008 97555\n36073 68110\n4666 87028\n62095 65582\n55692 68678\n61252 64395\n73934 85888\n9970 56232\n54810 91818\n37588 53321\n35142 53978\n52483 78727\n33358 89838\n17460 69959\n65497 84878\n33012 86954\n14003 70602\n76218 89827\n51911 53598\n44626 77392\n2865 69654\n33611 97929\n31735 50138\n51369 62453\n92416 95973\n25005 89322\n38170 82061\n59844 62853\n20880 79550\n58628 78716\n15562 63357\n2659 29449\n36439 39874\n34837 81002\n57213 59637\n74972 93360\n2702 83108\n29884 46324\n35075 64668\n40391 43912\n12940 20739\n32583 65850\n46756 56803\n84691 96284\n71678 95535\n9817 28682\n42744 78806\n37806 79163\n94854 99364\n9604 68999\n55069 58649\n84494 84633\n14560 89788\n30069 63684\n39374 47809\n59573 86847\n85000 90750\n1615 49370\n7489 10234\n34908 82669\n547 78665\n27741 83387\n9511 48960\n57354 58949\n16554 78973\n46610 90150\n1400 83006\n38663 52276\n1560 50518\n3812 72366\n33524 81128\n32122 55108\n5014 60437\n21006 92668\n58089 89325\n12829 80727\n31138 85946\n42928 68677\n3229 15333\n78724 81165\n54439 54746\n38973 78179\n77742 95845\n32599 61600\n24550 92676\n31425 35975\n40857 74305\n64531 66044\n22340 60542\n16455 34559\n42719 62010\n56467 64106\n1145 51419\n26622 49068\n54171 55978\n46043 62798\n51079 71011\n40712 47620\n13218 60465\n10399 31476\n23516 76145\n66229 80441\n12769 67759\n34653 37312\n68546 69436\n4621 60317\n6213 30148\n65663 82912\n17560 83047\n32222 86488\n56123 87629\n37865 55055\n5154 57649\n19891 82343\n46406 81744\n9497 39379\n29667 69521\n48303 85651\n36742 56645\n28388 86738\n38989 40614\n18008 77741\n1504 28051\n35982 82138\n79122 93617\n18945 57821\n3963 77773\n30201 73149\n18867 43328\n22240 36171\n2217 39994\n65433 97011\n24201 38450\n10846 65522\n31478 71456\n30148 33825\n27772 85968\n28719 61394\n15282 66681\n40735 48265\n17099 50508\n15229 48816\n28505 29907\n18636 89992\n13085 51626\n9583 87274\n14203 79546\n32963 79752\n72678 99951\n39341 84332\n47808 50205\n7430 40104\n36293 75784\n13559 24579\n56673 63640\n10842 97222\n50315 78368\n20534 91621\n26850 67854\n18157 65959\n39831 67254\n16848 65265\n43687 69407\n3023 85602\n3357 52482\n66733 77020\n89769 91299\n1327 97158\n73418 95946\n28283 98574\n52200 71164\n2258 11635\n88399 98154\n11350 97452\n35449 67484\n34874 84885\n8973 19856\n53290 96327\n76603 82748\n19780 61362\n24862 73094\n32897 98915\n61541 88667\n29358 84333\n82141 97454\n47446 66130\n43343 61176\n39179 62994\n27298 47769\n20701 96435\n30306 55513\n7201 18390\n46347 47026\n42337 87074\n21706 99395\n672 36015\n86756 96239\n34234 92291\n2816 2884\n9560 43372\n20647 26404\n41722 61733\n11477 83832\n25498 27368\n18999 55560\n9186 18203\n25460 44776\n72537 89493\n22922 85579\n20188 36863\n36574 52360\n35395 38069\n17805 78056\n54370 69819\n11359 11683\n30817 95422\n95395 97077\n7101 72543\n21102 93265\n11977 36006\n11781 32521\n5165 42929\n12137 79963\n44079 73742\n34153 99353\n1015 92112\n6732 19016\n335 34381\n35575 59344\n80735 97443\n4931 81597\n92774 98975\n32209 40679\n56105 66656\n24802 49230\n15404 92414\n33630 34032\n44393 47325\n27221 55224\n64979 67128\n17101 36295\n12442 51325\n54384 62773\n11240 68624\n14791 34126\n1173 5316\n9087 78023\n17257 85518\n4968 57469\n8822 77730\n21661 62636\n544 48675\n65303 87314\n21795 38432\n16524 74673\n32811 69178\n50048 82934\n38565 70911\n63638 65075\n84308 88338\n14051 29919\n81147 94778\n32743 37768\n45677 76637\n17804 72543\n62210 85681\n33866 85860\n40148 73665\n22092 35359\n37886 55517\n31800 86603\n27230 58850\n39065 62107\n41169 77151\n4005 45281\n19524 45746\n871 81984\n16071 22892\n27864 67158\n18541 54140\n15960 36696\n36599 38013\n48608 91923\n2927 35684\n4383 6545\n514 54341\n2567 49387\n8738 42146\n13142 14634\n74081 90105\n18755 66271\n5069 18946\n49334 64316\n62836 69666\n50992 63086\n7234 76237\n31016 55503\n49045 95469\n77349 96265\n41149 77722\n16887 25126\n448 25515\n30202 35473\n13843 60949\n33054 59614\n3814 77777\n11181 25927\n57836 60800\n24524 48633\n3987 99184\n38537 79939\n61533 97499\n2929 87431\n22451 77938\n35021 60043\n62995 91443\n13279 74295\n1761 96757\n43368 49879\n5001 36765\n7874 74126\n987 45971\n11456 37444\n6043 96028\n49059 62174\n17588 54706\n63187 77974\n30420 47523\n22890 70240\n29818 93407\n20511 74192\n6997 34457\n28877 44834\n10810 37965\n5015 90642\n5344 46855\n94081 96788\n14220 38863\n44888 54518\n8283 17690\n2774 58918\n1753 59129\n55255 96672\n28862 92981\n10797 80723\n20658 62257\n36244 52047\n15978 33731\n12121 47655\n7544 56087\n72678 75001\n28496 69482\n14401 83901\n22184 32472\n15554 83881\n5231 90546\n39321 44882\n67876 77193\n44500 72881\n13117 24283\n19515 97255\n1216 14587\n27203 31448\n14280 84995\n59220 77216\n13773 49308\n39878 73434\n12811 30015\n45985 97623\n8277 78515\n43362 78189\n21178 24442\n9060 34046\n120 63809\n63905 76345\n16470 69040\n5809 68747\n52675 92253\n54116 72431\n20219 44129\n13474 83377\n78242 89112\n24419 30084\n6466 29661\n4441 7530\n63496 64436\n28660 52816\n35192 61425\n11249 12398\n36574 92670\n8092 77734\n10758 43121\n48939 66427\n34912 96605\n23997 58697\n1682 97183\n77649 97068\n16876 46128\n11228 70988\n6677 57901\n818 6827\n56802 98576\n59983 84126\n76171 94496\n27387 73783\n61238 71096\n14955 71135\n10293 15330\n13379 95950\n57145 89886\n71615 97789\n9329 24658\n4307 91703\n63404 72217\n25362 60721\n8342 89569\n30108 92329\n45738 85168\n54301 70632\n3617 64295\n460 74185\n75843 78144\n9992 14193\n21590 28253\n14748 59066\n38274 91250\n21759 24767\n36314 78275\n36996 64244\n20411 24905\n15596 43431\n65684 65713\n70452 81436\n45245 48232\n12402 71322\n25122 30053\n34114 91821\n34911 61392\n71131 96971\n68886 84108\n12029 58552\n21841 31384\n68080 91764\n35814 47214\n51 24983\n19266 21732\n41607 63966\n48869 96662\n1213 33937\n28856 55799\n47603 50002\n61481 65247\n61778 69362\n26496 88967\n23164 79220\n42355 45087\n4623 90173\n13665 49864\n68612 77298\n21094 31155\n27779 56093\n22912 97421\n2102 50575\n13790 15806\n72706 75813\n62348 83001\n58797 93286\n70199 81128\n31042 42138\n35710 90875\n47110 87030\n33380 93433\n53956 62007\n36973 87197\n42433 58879\n39508 52516\n38712 69081\n60062 65597\n67911 68674\n890 7199\n23752 89035\n6508 23663\n74945 78438\n11629 26891\n57945 71745\n40502 40864\n2669 5675\n34287 68463\n31106 92563\n42002 55634\n20672 49815\n80747 83376\n43139 64475\n13142 93962\n11546 17773\n79783 80703\n53131 94062\n91223 91273\n659 69023\n75993 98777\n52067 62779\n66339 78577\n32614 75073\n49101 91586\n22756 65559\n28233 55373\n32562 53984\n11871 48135\n45145 81624\n10679 94427\n4909 48457\n36078 37812\n25880 67277\n37468 71889\n40055 85587\n35483 41003\n30902 89105\n31885 53908\n8629 81304\n15903 16206\n29286 85761\n50915 95704\n24911 39495\n51394 75419\n21987 23995\n26358 49782\n73624 79886\n43863 91704\n47712 82249\n10281 43188\n59924 62841\n14939 20231\n8775 37491\n23479 82591\n42114 42553\n3346 55768\n38084 64468\n12595 80225\n83279 96857\n11911 17451\n14106 61592\n58067 87846\n19190 23607\n45506 65053\n40041 44032\n57675 69678\n8438 31020\n2021 5612\n17380 36227\n52595 80626\n20308 86361\n22878 90305\n26344 35801\n33439 77696\n42634 90870\n27351 78632\n44058 97527\n24797 54219\n14754 41954\n29637 85340\n54601 75371\n12186 64081\n13493 94478\n16999 85557\n2657 78199\n19059 80147\n53956 96882\n9240 71821\n3156 97188\n74226 77941\n18261 54742\n46791 98300\n19367 89607\n19252 66889\n58045 89658\n27640 80599\n76623 86584\n47 63657\n54500 97289\n76566 88303\n69786 89917\n13227 85735\n86440 87958\n4410 71488\n5332 10078\n30979 70424\n13352 34011\n3193 71909\n26610 30857\n48492 85126\n490 24699\n14943 17855\n17036 53096\n41234 72747\n38028 71936\n3679 12319\n43624 91599\n54072 67059\n3103 23842\n28169 96735\n52117 90402\n8182 49462\n4589 8602\n47487 90966\n25455 51360\n15311 54271\n18943 65779\n43461 85178\n6630 31943\n13945 29962\n8750 91162\n61402 93197\n13891 20316\n17919 24509\n25130 62381\n44861 77740\n15321 16832\n27279 60771\n66335 99951\n26009 27049\n20162 73005\n20601 78014\n6841 92714\n21296 45537\n14871 34004\n14362 67925\n88 44356\n66352 66497\n26782 46811\n3143 99931\n41856 57338\n23009 44137\n7695 52202\n35532 63459\n22300 36864\n16671 23405\n54358 75147\n10283 62171\n30642 43436\n327 90931\n19179 57715\n24786 74621\n64932 96565\n20390 25851\n5625 31047\n75360 94974\n33977 99339\n58111 78273\n6962 79540\n33123 63031\n22949 49000\n48372 50439\n43094 72448\n79179 98695\n83972 84584\n16378 31914\n29900 52069\n17625 95675\n9488 42189\n4046 95646\n32048 55064\n24243 93663\n44951 97824\n3602 57845\n11707 81107\n21073 55425\n12054 82738\n16729 92540\n2322 50508\n66048 97851\n45124 63312\n230 49977\n85803 90177\n58821 77108\n40687 42610\n29770 42715\n6196 30381\n34510 66912\n58187 58761\n22235 59770\n20908 96876\n11279 94215\n7803 94599\n3043 62660\n48445 64848\n19497 81844\n57640 76797\n9536 27991\n25914 57651\n6005 64447\n25513 45069\n60605 69667\n25355 34986\n49358 88585\n31753 44438\n75815 84618\n32333 95624\n31986 39275\n54983 67307\n77953 88347\n77064 97065\n34772 90280\n7806 32770\n17787 28762\n25315 98847\n65145 77986\n969 44726\n67110 88065\n21365 86471\n17830 85414\n55976 61499\n12581 56488\n52950 59767\n69419 82950\n11869 93388\n56627 72937\n59401 73046\n63424 79125\n32175 59448\n14710 58667\n465 78277\n33467 88028\n42820 85601\n32913 65086\n19614 75865\n17087 37140\n7232 26508\n62014 64268\n31566 61964\n55919 85489\n88074 92141\n28024 37104\n31129 99648\n47974 84218\n6274 42623\n72092 82925\n40041 87955\n7710 34897\n10529 27894\n26107 93775\n16853 77240\n37738 52124\n31684 79145\n26926 53830\n50104 60209\n42571 73819\n57628 71108\n10115 21918\n20561 96427\n31745 93304\n30771 49094\n14935 90861\n22478 30902\n1396 62051\n35096 97126\n40413 47028\n33844 60710\n7262 88523\n58903 95050\n13269 45568\n55935 57477\n31875 73659\n42229 91092\n78680 96616\n3695 35196\n59683 99748\n38067 41624\n56389 94997\n7881 27498\n17844 30928\n7381 36298\n9246 15832\n55594 87908\n92769 93647\n44787 84284\n63418 99033\n41358 48755\n32389 66585\n14598 18781\n27610 84758\n62937 87312\n49655 99696\n24138 72887\n49031 89045\n11507 82510\n43443 53013\n13061 87521\n10191 53441\n60937 83182\n70753 78088\n68384 97523\n10138 97599\n34115 91347\n64897 66280\n55735 88358\n38092 58265\n31799 80321\n41160 61105\n82594 93891\n32771 71826\n43705 65096\n44621 86714\n43806 55745\n14331 44562\n51857 97807\n2876 40819\n18170 70921\n58230 98959\n15839 20990\n51868 74189\n30596 33323\n75674 89715\n15075 24153\n1638 54989\n22333 49327\n9239 46192\n52916 62519\n2044 55959\n28409 70312\n23476 84689\n30429 36920\n23619 93610\n54128 61540\n55367 76833\n71593 92388\n10844 39322\n55237 72701\n8951 71678\n45563 74151\n60331 86740\n39311 89077\n3036 44955\n42626 88803\n62497 62557\n1681 37603\n961 60539\n69592 94002\n27705 32936\n31347 36378\n29657 79033\n19618 24376\n40660 94008\n28957 84447\n40338 96226\n62573 91360\n1437 77434\n61 63466\n25810 93236\n72692 93642\n45555 59303\n1935 69561\n21511 70157\n33562 89146\n13341 94226\n47625 47974\n3113 67837\n13758 20471\n28028 28775\n56206 93310\n32960 81950\n25985 27477\n25824 31097\n12251 19763\n84485 86428\n76214 78255\n286 65105\n43440 64764\n73546 83831\n189 9326\n10456 59495\n50026 71287\n18235 90388\n46221 70984\n32483 68298\n71061 78515\n59577 67913\n53187 61025\n22012 69171\n56469 72505\n66312 90492\n56358 56754\n3227 95052\n18941 99239\n99 61906\n21126 73812\n72444 93279\n21122 58319\n50883 99581\n56177 65946\n6528 14040\n45112 65766\n35809 58403\n66520 88743\n16196 26609\n21585 50050\n7931 37857\n14161 24866\n26489 71010\n15792 91532\n36491 62838\n12367 21706\n15773 44093\n84929 85561\n29034 64183\n34479 85668\n2190 40988\n46138 69310\n14530 75408\n6863 98903\n81925 93631\n49818 63998\n16896 21824\n13733 80022\n38800 63406\n12656 87561\n3504 25975\n31288 63803\n3345 26009\n52446 79811\n52519 69470\n41242 52979\n6451 16663\n10514 55525\n19816 93371\n10534 28310\n15060 45139\n12384 76075\n29487 62474\n46292 98102\n12823 23752\n55767 92307\n6516 38395\n3230 48287\n15123 59185\n12704 45511\n10817 61505\n1605 10823\n71638 74295\n81241 85718\n42597 63988\n39707 46194\n26989 82748\n32040 46171\n73523 95406\n3256 18487\n86281 97068\n52264 57205\n10050 38798\n10985 42677\n16805 78907\n40634 78616\n25678 34300\n19001 32000\n46173 83715\n25277 36970\n47897 81164\n13038 62008\n70880 76092\n5624 6418\n23420 42694\n46559 79064\n11887 34460\n36903 67063\n16767 91207\n10012 11125\n62901 98685\n932 74970\n35375 69312\n7704 45284\n5291 64792\n32444 79577\n49418 54682\n4131 4740\n4318 36421\n2366 3790\n61812 72057\n31924 50092\n5757 30295\n26239 40355\n18373 25647\n3283 29967\n24241 95138\n52706 52917\n54326 68978\n24618 69583\n47987 54100\n31224 57205\n6770 77259\n2202 89836\n6613 61282\n65708 67295\n26565 84739\n38421 81434\n15765 62858\n18308 18980\n70913 96314\n8270 78746\n17374 74922\n70323 93908\n23916 97292\n75020 84936\n27875 65508\n72967 97608\n44046 54456\n12665 32203\n26959 27579\n13958 60671\n51961 71280\n19365 66846\n75963 94824\n61463 77671\n23389 46525\n3152 81400\n4960 13720\n42905 93710\n30946 96340\n52313 57092\n43955 51571\n92488 93962\n25696 65386\n28045 55401\n56209 80650\n204 9490\n11358 26959\n12067 32920\n37729 71300\n8748 56627\n45363 92644\n51020 96240\n21848 41110\n13547 66751\n3014 26719\n47725 80711\n27739 80173\n14474 50814\n29790 99291\n2128 84856\n56202 92314\n16720 95709\n13847 70066\n52023 99527\n1009 89028\n37981 69920\n16986 59737\n8783 73483\n69207 76084\n76650 94068\n80494 97791\n78928 80355\n65040 92786\n26145 81968\n10873 42974\n4455 85043\n16029 39707\n9038 46146\n7621 42919\n55017 86298\n30271 65682\n69873 72934\n50575 69990\n35784 44289\n64101 76219\n18836 38144\n50235 60529\n13258 28921\n37508 47504\n91895 97019\n23933 90631\n10801 82298\n75076 86100\n7999 45590\n7628 74898\n57518 88953\n12176 21232\n25463 58100\n29957 61997\n30923 32093\n86828 98228\n27219 58259\n28607 56473\n23552 62512\n14 54329\n7344 20656\n29023 43199\n20633 94131\n58872 90724\n77354 88291\n50283 90644\n85337 93628\n14365 36494\n920 62954\n58201 88016\n36028 42871\n38742 41598\n29519 35791\n6223 42315\n84164 91058\n1783 15073\n6119 86934\n9893 88703\n58495 69802\n1280 3541\n13961 80588\n7628 70224\n29161 72894\n32194 98550\n33346 34387\n29758 99758\n11389 26087\n56758 63631\n23646 91181\n48871 82658\n90957 96710\n54319 95593\n27769 42542\n71760 76704\n47495 75582\n5240 14226\n12336 25250\n9238 14714\n51525 55622\n23653 48278\n26582 52489\n79640 82947\n61070 89098\n45627 74541\n93427 95363\n71051 96616\n25329 63604\n38489 88635\n27294 66579\n72115 72694\n55277 84767\n28239 51522\n52996 68029\n36234 74894\n45860 59776\n24210 55761\n3004 10990\n25923 57812\n24901 39998\n35409 38652\n12180 51430\n47798 98831\n28975 78985\n68667 99210\n79417 80924\n5578 30292\n65577 74566\n16361 95311\n24683 34415\n8062 40179\n1552 14396\n32283 68036\n68395 70308\n10592 49130\n35086 90087\n13946 97602\n14187 20962\n1153 72937\n28406 92229\n54816 91897\n40170 94103\n40750 78239\n41925 43582\n63905 69955\n39999 61591\n11075 24118\n23109 35062\n12293 23733\n32489 82757\n11552 40798\n62451 99503\n54191 80914\n15367 48997\n19130 20701\n38701 91654\n28844 72671\n34741 76843\n3453 45497\n3559 18242\n8022 48492\n43883 81227\n30662 63133\n42878 65914\n3591 31511\n7184 17546\n45599 80577\n26464 59329\n2028 58336\n50056 66585\n13931 69192\n23049 60595\n5960 14603\n22139 56963\n5709 66452\n41746 47588\n5154 78486\n5029 54140\n33337 75677\n38765 51886\n2773 61592\n15749 46544\n42899 81673\n22979 85996\n81398 84387\n3408 97320\n2549 26672\n3234 98104\n88814 96917\n60350 88230\n19966 47232\n29384 96737\n62121 95744\n26168 41181\n28746 95319\n24657 75467\n20206 87583\n30718 81751\n19069 80455\n66557 92027\n2715 20466\n11526 13534\n62736 72439\n45079 65775\n25542 95932\n39978 76292\n2553 23995\n84889 91928\n6809 84282\n6359 8505\n16298 87608\n26088 69441\n90551 95945\n36610 53758\n27606 57397\n1565 96729\n12132 61307\n10503 16289\n13854 23658\n79773 83924\n43130 72431\n34484 45766\n17846 83328\n4349 28176\n51588 89975\n23148 84395\n67233 75691\n4125 47411\n25391 67964\n9247 36445\n29359 36219\n30582 52053\n84891 87357\n38347 57354\n13361 68302\n15348 61347\n6713 39531\n19182 76109\n21785 95738\n48413 93080\n29227 87083\n42779 87089\n72590 97891\n35138 98065\n38798 43254\n10295 22007\n13876 33271\n62483 80868\n29383 43469\n6315 24536\n49510 67139\n34326 73600\n1130 71355\n8152 49711\n2619 84034\n22584 48638\n9486 13570\n397 25990\n1080 74540\n2207 88663\n40098 94328\n89765 98117\n58995 63846\n6460 99032\n41702 51352\n53767 63290\n76581 90818\n20690 64014\n19348 46017\n27680 49387\n57576 70337\n2984 15350\n35574 68968\n8723 10299\n25553 68349\n12829 17885\n4726 17318\n31403 52467\n15233 25193\n40743 50818\n27633 37615\n72450 99973\n46024 76045\n48471 84123\n45821 79621\n6656 9145\n28956 53514\n20340 35030\n81322 88181\n135 5069\n50039 59808\n2675 32604\n27183 75387\n13393 72845\n54311 71255\n14363 59701\n31045 61567\n3704 27093\n54884 64499\n23150 85878\n24418 83581\n57740 74647\n6673 85182\n10467 58931\n18713 53457\n31488 84746\n86807 90838\n52517 99700\n77628 89342\n41714 93256\n15283 77060\n58020 83525\n19482 80037\n56125 63816\n531 3820\n39065 95363\n45627 64039\n64800 65610\n71864 77875\n51958 58788\n33183 79689\n55072 94768\n48465 63938\n33243 70919\n23546 42928\n62014 75308\n54644 62016\n36400 77716\n36109 99498\n76491 80384\n51425 86857\n31061 36985\n70130 77349\n5210 86086\n3794 75715\n56715 57033\n41939 56548\n23221 73391\n36330 59160\n13999 67214\n30181 42679\n88291 94251\n28891 37049\n83165 97775\n42058 88199\n48325 97403\n85553 97016\n37052 37646\n47082 85607\n16483 41396\n47432 77828\n12230 49788\n47936 92260\n14351 27919\n3460 84655\n57431 77765\n15091 16122\n27902 91068\n12879 61772\n20548 81501\n39350 40050\n7736 29885\n73815 82841\n19362 78043\n29862 51803\n33951 61317\n48387 61346\n24456 40044\n83675 99784\n73256 80509\n50385 87840\n20975 29326\n23646 47307\n16465 57241\n22804 29712\n40390 47264\n12270 90292\n17480 35453\n71065 90938\n5377 18612\n19753 79296\n72971 84438\n12695 24188\n19044 36900\n16350 49202\n67866 98111\n17255 73460\n65624 91076\n51152 96229\n24069 59662\n19650 29686\n16839 59958\n39041 54147\n65672 89802\n51993 96487\n5097 45625\n20474 60725\n44762 76224\n2570 32148\n2848 53744\n26892 76978\n63932 88666\n54419 94095\n6485 52728\n82945 95422\n25413 80681\n50736 51285\n64122 86362\n33580 74674\n55678 85304\n30109 59042\n43352 81360\n34918 55794\n15553 93979\n63608 91190\n14916 84815\n34852 73661\n28894 37789\n29729 77207\n12054 82689\n48380 70638\n16977 56138\n27984 40213\n80649 97274\n65375 87846\n2674 14501\n3487 38969\n14021 31532\n70045 91695\n30766 87520\n31342 86205\n54068 66129\n55336 70209\n5706 6344\n15527 37067\n44214 86919\n3386 4174\n6253 15756\n58308 70766\n44257 65674\n67909 86171\n71441 87021\n23419 68184\n2834 27925\n44240 73605\n20302 48283\n19979 64267\n64204 98046\n5156 28523\n70275 85108\n36854 39892\n91478 93980\n67771 74630\n5802 65025\n65546 79613\n66873 71701\n59607 92989\n23551 44586\n30077 43109\n24956 48793\n24759 43221\n44312 58223\n87641 96897\n49084 79617\n5351 93937\n14099 36396\n40588 81193\n8217 31305\n80947 95410\n16344 73688\n93131 94216\n65458 98972\n60434 93077\n22421 37405\n50373 80695\n39875 78875\n1170 97548\n63671 92104\n34022 42145\n7805 50600\n30500 41270\n29702 42773\n4330 8491\n3985 16450\n56635 85211\n31287 60308\n60224 89710\n5561 70990\n8101 19497\n1318 81545\n16250 37377\n51404 73663\n66954 82151\n3171 63818\n35689 52220\n68699 75534\n4003 13225\n7989 42630\n61242 81231\n80998 88701\n21773 89193\n22742 37805\n4252 33563\n1504 93973\n5040 61471\n31473 46966\n38463 56997\n42406 75620\n37849 47402\n46564 76240\n51426 84716\n44028 61337\n14551 71951\n52040 80985\n45417 66723\n28244 68256\n29392 59030\n9918 38099\n41188 73749\n6108 75991\n4187 44162\n77559 95366\n52465 54325\n59906 82411\n9563 57483\n53024 98288\n10198 49993\n5487 89410\n10903 26097\n38904 67143\n12797 77409\n12265 91391\n6644 66903\n13456 17723\n71644 93306\n27818 83043\n58517 80391\n17484 22270\n50169 98464\n23967 39015\n2589 33094\n11740 45838\n55093 93653\n12717 43599\n4022 78695\n38545 96179\n66785 66971\n17799 28296\n33214 92853\n46455 65115\n45197 46089\n10829 29185\n15649 95539\n2695 55147\n38178 56894\n71859 99306\n15328 26215\n12928 77917\n14167 99545\n12814 56020\n31261 50342\n87008 88329\n65400 69801\n14101 43717\n18224 90535\n72852 78030\n28538 62212\n22762 49595\n6030 98134\n10830 22208\n56574 88629\n53981 98835\n5233 85736\n29631 49724\n38877 68777\n45896 86532\n34805 65315\n20051 88612\n46620 75501\n31035 98632\n1839 54418\n55213 88067\n66754 83942\n230 30515\n34136 41079\n43654 69184\n39782 54027\n15039 31882\n17788 70637\n16296 77990\n9394 70068\n26097 76949\n20284 65389\n19898 51186\n7889 64915\n4813 79902\n45476 52258\n59034 98105\n18325 77983\n42754 87054\n6683 38416\n94522 97121\n18536 24530\n981 26456\n70081 76754\n1413 20098\n47009 49042\n34693 87355\n61845 64927\n16918 37710\n32675 76917\n3740 95569\n26275 66533\n14590 88961\n23796 76148\n5636 67493\n43484 59934\n53830 76487\n37440 76780\n30795 32014\n24740 40325\n9267 14532\n27436 94121\n13172 99095\n33658 79733\n11710 14227\n36557 86821\n5988 20095\n4944 63729\n38237 77122\n60108 85765\n17575 34690\n26102 41430\n32841 73894\n76622 83431\n39596 68655\n24042 27076\n12269 92978\n56977 63234\n27589 66477\n9913 50721\n19759 39392\n18945 62118\n26110 42095\n10768 78976\n37635 60467\n10917 73401\n53089 53170\n13046 15315\n85033 98631\n6817 57386\n5790 22989\n28979 80322\n6890 83599\n7926 75445\n65085 84471\n60808 80334\n1201 7201\n34314 46077\n26493 78587\n11239 37530\n27938 80221\n16538 48751\n43370 92766\n11595 68737\n57736 64747\n4130 91361\n2399 84344\n1930 67669\n55472 81875\n3231 31119\n15388 39807\n2641 84365\n29677 35475\n41267 49442\n9424 35380\n3562 42210\n4524 42857\n6091 54686\n58436 82000\n44766 67621\n18208 32987\n12172 16573\n16626 26657\n48027 82385\n1213 36070\n11468 50434\n65772 81306\n8104 20856\n33749 94247\n12380 76224\n62342 67907\n21329 64654\n96812 96901\n49156 80928\n34854 38160\n57094 70502\n69927 76000\n58309 76528\n37072 75461\n89975 97250\n65929 96516\n1665 34974\n49045 95603\n17085 52509\n35006 81709\n57096 58664\n56824 99697\n56311 70501\n72833 87180\n3414 86814\n56235 63638\n45241 79142\n11052 79591\n3450 69259\n79118 82547\n60411 73824\n44509 47150\n16526 51251\n1431 95846\n89308 98704\n36582 94531\n2120 86639\n9994 53016\n31963 47790\n72152 78176\n10711 37846\n33520 99375\n4732 86408\n45789 46712\n38154 72102\n98622 98897\n2047 91636\n8515 51356\n2874 71301\n67368 94175\n13924 23154\n51825 89301\n14406 85951\n57731 70306\n29728 70613\n47290 52045\n74754 85859\n24192 83229\n57243 74306\n8690 95491\n6209 7430\n1686 4080\n2306 37349\n52539 99772\n22519 93911\n76735 81621\n77580 97782\n20045 88522\n72449 85154\n86640 97933\n9744 11800\n9587 83216\n20448 50268\n2057 52170\n28588 55641\n48798 57180\n33251 76220\n46176 48365\n36437 76789\n19480 21970\n14058 87923\n38379 68397\n4322 67379\n23897 32673\n30693 97918\n24544 59117\n8119 83774\n62616 79301\n19452 21248\n68231 69015\n49522 71324\n6886 50525\n85999 97286\n84615 91671\n52375 87068\n10300 91653\n42023 79771\n46877 55890\n27783 35320\n9661 26985\n18718 59429\n60635 66809\n16250 97292\n36363 76501\n27497 72044\n38099 88669\n1050 60986\n49393 63787\n27883 39613\n21227 57088\n29799 52212\n75825 91856\n50131 54063\n52576 73016\n47950 79236\n72828 97095\n25297 88568\n31632 74375\n50009 98430\n25487 87264\n15069 90635\n41990 62619\n10498 38430\n15036 27900\n53612 86666\n6349 21418\n13221 17449\n2159 83935\n29116 86006\n45954 91346\n14815 82447\n16725 83088\n12487 49442\n74327 97113\n23422 23901\n21999 60185\n8832 66054\n37653 60306\n20583 64258\n32212 99159\n8621 37906\n2354 10602\n14593 88732\n21539 24172\n21897 76485\n14339 88606\n26554 87505\n41911 65550\n26953 62267\n41372 51399\n38457 38460\n23799 95644\n25871 46197\n50042 95864\n24800 80472\n94866 99412\n988 65906\n67708 95459\n47042 67553\n1918 54463\n7266 73778\n80631 91797\n27012 54964\n33624 74265\n12425 89880\n35168 90954\n39001 46915\n16989 72902\n38875 82890\n51569 71995\n763 3513\n51961 99690\n15537 51804\n8054 71033\n45169 92406\n53209 88666\n10878 19691\n11187 22164\n68413 69877\n32381 35984\n11598 30739\n66740 95464\n1146 36849\n31662 85290\n19656 44084\n28074 36842\n39547 56238\n8950 15761\n79544 91850\n54803 96467\n15055 30268\n12972 93812\n23654 48901\n92117 99923\n510 35743\n23963 58779\n35133 65134\n70049 90974\n90414 91005\n50455 86910\n36208 75298\n3148 84080\n36915 89430\n63496 72338\n34598 86423\n37626 49256\n3724 96122\n6919 9235\n46394 85930\n21135 65711\n89816 93476\n9391 20804\n20642 21086\n16314 22643\n15341 73649\n4153 55032\n33302 47055\n19486 47083\n72314 97740\n5940 74777\n63651 94697\n85078 98413\n95 53930\n22793 93654\n52311 52433\n56132 61119\n20940 97548\n15014 19231\n30098 76227\n47324 83770\n54365 87567\n21973 93530\n2303 24755\n34687 71262\n28262 58567\n19205 85792\n25111 68162\n57409 89351\n10232 33037\n4987 58257\n2552 27393\n1643 66961\n12968 84814\n70685 80872\n51069 65210\n5657 74815\n19568 48806\n65421 85200\n34523 54753\n25364 85605\n85132 93343\n27397 58665\n36779 44756\n10441 40801\n28313 44857\n49 52589\n69937 81575\n40083 79494\n76604 78042\n22859 64403\n5630 80610\n18939 22842\n40186 66692\n5344 96287\n14978 37129\n28080 95725\n79476 87664\n14765 45751\n44365 68236\n27997 92520\n28313 31264\n16963 80772\n84479 96291\n74222 87230\n31066 50229\n24146 34312\n82458 90831\n36169 94748\n19045 79762\n18942 90707\n4376 62506\n58370 94183\n58507 87174\n60408 62629\n25 31306\n38164 68139\n85023 87220\n22408 81189\n11820 26460\n4825 45964\n9285 89827\n26510 75675\n60500 91498\n77754 83526\n4969 42569\n14438 56930\n30112 42449\n7267 28328\n17840 66210\n49918 54511\n74992 83719\n66188 85955\n27200 64847\n32788 80140\n83868 98373\n67562 88030\n4538 82783\n57814 95287\n9124 81076\n3960 39197\n30609 96751\n492 16252\n6239 6678\n83286 90496\n56775 92571\n24443 53319\n601 65909\n53439 56529\n44774 69460\n73793 95206\n3216 55762\n27747 40209\n24555 39453\n28055 66573\n3767 71967\n32009 41546\n33749 59145\n29036 31822\n13338 81069\n29125 35446\n57294 89893\n13699 24043\n23334 72185\n42240 47120\n60873 66870\n80368 90746\n6076 71648\n17641 80753\n29917 52716\n33911 62486\n23597 41282\n23803 34831\n98434 98500\n37075 71393\n5586 55434\n39381 78089\n16324 48641\n27457 95716\n9458 85919\n35311 37699\n45868 70163\n45257 70302\n62833 88220\n77747 96160\n25125 44155\n23335 63321\n24362 57306\n41487 58743\n6075 27212\n54226 64741\n10992 20719\n83233 98879\n6570 53031\n22203 80218\n11434 43318\n37957 39017\n32044 38060\n49079 59557\n69003 72402\n78666 87717\n4297 8192\n38788 61760\n38435 95294\n69703 75871\n5913 18368\n28399 97770\n33823 88465\n43608 71340\n53453 74034\n40668 52341\n33127 48601\n1902 50808\n42234 78945\n41106 44059\n30583 34571\n12221 66242\n73798 81290\n62584 91746\n61843 76372\n3773 30824\n27946 97830\n26895 99722\n80358 96068\n54440 95951\n45557 79605\n6107 36876\n15861 65124\n10284 63043\n22498 58511\n22423 66830\n80434 81839\n38614 39383\n69258 93997\n80623 81914\n69611 87344\n468 4734\n26124 70671\n23744 87964\n8810 48927\n29202 62494\n8527 71612\n79783 96333\n6449 54182\n37464 68477\n755 51864\n10489 40289\n23710 52252\n59204 60460\n33613 77818\n45708 86265\n63085 98252\n60539 77617\n63432 72458\n4373 76650\n28566 48718\n22974 72436\n25487 62877\n40683 42392\n61230 71185\n30986 95878\n31100 79375\n75995 84684\n58162 64349\n15812 84067\n8733 28081\n56096 66451\n85425 99749\n46714 51160\n63803 79488\n58184 81689\n53806 60940\n80781 99888\n6835 92452\n18414 56902\n51626 85836\n19524 58151\n50876 84533\n94641 95075\n84916 93311\n35510 55933\n6577 64152\n14253 65884\n33382 34578\n52728 65925\n24388 78364\n22825 46232\n64875 86493\n47323 83388\n43698 96222\n14617 81080\n7865 56008\n37662 59598\n74302 96362\n8911 65382\n35285 93003\n3356 79637\n27233 64399\n48957 59879\n22573 61496\n4023 16176\n19225 87169\n38665 77815\n6594 37969\n14820 85345\n16835 19640\n1967 94196\n15765 62265\n44892 50564\n10150 55269\n46591 65636\n16659 22893\n38931 87753\n181 94267\n23408 61204\n12579 48482\n19364 49144\n31899 88084\n31504 65853\n5086 24911\n32591 35492\n6318 68617\n17077 43309\n15871 85001\n5534 72107\n343 20231\n10095 62241\n43894 61735\n16425 22377\n16845 39161\n21487 80585\n11912 93313\n2780 8819\n24012 90229\n21115 73485\n34872 70702\n69133 79710\n22530 48287\n33002 91488\n15582 86868\n13422 93534\n40111 51201\n41074 57156\n35005 64944\n50898 81960\n9361 80002\n43046 49925\n21613 81080\n34146 63511\n34034 60848\n73513 99948\n63356 74033\n35698 50868\n38338 63212\n47990 66144\n24076 34110\n43519 80595\n49578 71499\n33133 42997\n20148 26780\n1057 79529\n53396 81147\n50168 85049\n32964 56413\n39645 83535\n59299 80387\n26274 74773\n80947 95917\n55687 80856\n43474 88830\n7208 56278\n67467 92392\n29 53398\n1126 57555\n17674 40594\n2549 28145\n36204 50809\n86971 95182\n36074 52586\n56288 58705\n9484 72872\n70061 95295\n7390 76029\n23446 49867\n59477 80503\n89619 92110\n22124 90116\n30921 75808\n57787 92624\n13965 34527\n67053 77545\n1179 19872\n58721 67301\n11713 13355\n36485 38267\n17777 69846\n16723 73757\n28021 57672\n11292 79705\n13695 65297\n33355 87391\n35802 60389\n27413 62693\n32787 97024\n21891 38700\n1435 1559\n9486 34925\n4675 30010\n10468 23037\n40701 51738\n76352 97762\n76103 98118\n402 68531\n57547 96839\n15115 61615\n69983 93132\n19911 53525\n36439 80037\n40402 41865\n50076 75973\n84322 84680\n34779 85977\n39138 56529\n26145 54585\n14010 31286\n70486 75217\n29787 37645\n13661 81283\n61187 77992\n38224 97769\n2801 16938\n49338 99811\n91719 99301\n12062 65844\n68924 89330\n94 78765\n13644 29636\n16516 24737\n16216 92637\n38123 71773\n17004 62626\n4477 49067\n2281 20905\n41166 75340\n58387 67470\n6235 32544\n23241 76433\n6305 31439\n49456 80478\n14116 24480\n17650 46861\n45071 48888\n25254 83870\n17303 95206\n8226 40169\n34994 71158\n81305 87185\n11839 34398\n28773 66419\n16419 45521\n67699 94860\n30472 80460\n9359 35396\n25593 67700\n50457 97239\n11133 36813\n39076 39241\n9461 85743\n60662 99262\n54346 90995\n64066 68821\n33063 46638\n86239 94081\n35582 95049\n32767 86751\n8999 38126\n25039 30563\n62743 92313\n21834 47672\n30847 45428\n47950 85294\n4047 68382\n89031 98783\n5369 80938\n61780 64461\n46574 77833\n61166 97863\n46755 62028\n14168 52952\n4872 93762\n88860 98648\n30917 67212\n25143 38900\n38807 87690\n12741 73395\n23109 74340\n9055 20284\n28122 56352\n32193 79605\n19549 25975\n2152 73935\n63734 77102\n37961 69545\n41427 48984\n20788 22814\n90189 99396\n18204 83198\n22334 56278\n14628 85395\n23428 37356\n41617 42220\n73174 75267\n42865 74268\n2264 53524\n52835 88472\n35460 48838\n59519 93664\n39840 79585\n12452 20209\n56116 74210\n6348 36763\n2824 75677\n43238 76553\n28092 41847\n34898 62555\n7330 31292\n5847 32971\n28134 35563\n29038 97027\n15756 71679\n38630 91460\n4298 95558\n54307 91346\n50958 95814\n47967 48756\n48258 72357\n1768 55546\n72107 77438\n77877 99504\n28821 58472\n15098 21278\n13932 87693\n3373 21760\n15949 61861\n33189 83163\n10721 69610\n34329 98636\n57939 63714\n27686 98650\n30656 86130\n7445 42852\n46387 91539\n31506 94144\n1710 49318\n20474 20502\n44328 94526\n3045 39176\n8742 82882\n34887 69563\n45490 99052\n71992 81890\n75586 93017\n25576 97699\n18065 54899\n31499 97116\n36438 50232\n15231 81858\n39174 89833\n59260 84646\n61494 80906\n115 36585\n18615 33157\n28854 82122\n66497 84076\n28798 64686\n89913 93629\n59383 80102\n17603 74971\n57388 66234\n26278 33607\n7558 54025\n28515 35954\n52241 69811\n11947 78325\n91516 93240\n8243 63209\n36291 90601\n15359 93950\n11176 98569\n5215 39972\n18691 49823\n14660 45848\n35335 97472\n18512 42574\n35749 58242\n7742 21934\n10279 34148\n40387 89143\n7734 37194\n3598 17971\n10708 50284\n12879 71744\n90389 90778\n12219 50059\n42181 72712\n4385 27048\n38455 80600\n57462 67566\n27805 50873\n30831 35424\n87618 93618\n29740 72752\n73228 82960\n73283 93868\n48533 90022\n79374 81020\n18965 66790\n21927 91601\n79463 95825\n40217 77612\n17709 19928\n34725 35323\n64214 72902\n25745 33139\n66477 94375\n405 45333\n69514 87905\n19603 81310\n15285 18141\n9894 33063\n16668 95064\n39571 73407\n35505 86808\n4507 60474\n3015 7161\n63965 82556\n27326 81377\n2609 61730\n6539 75853\n27742 86660\n11853 48293\n83099 94392\n50789 83093\n9913 68945\n75029 85507\n84703 93055\n2650 94061\n40930 52954\n80156 98040\n20532 40305\n46316 81548\n3843 66679\n19881 99553\n21095 34809\n46832 47786\n52850 89682\n1849 91362\n43917 65415\n18997 26035\n13306 86289\n43637 88691\n53192 71542\n47097 57614\n34445 75983\n38140 41025\n5898 68621\n70196 95313\n6373 81375\n10170 32196\n31680 76237\n10796 77424\n23977 63077\n891 3587\n41417 99631\n43103 45790\n20399 55679\n56114 97173\n8357 54915\n82932 94749\n9793 44571\n17090 84146\n63881 95389\n19718 96889\n35583 37123\n12060 29941\n48813 73696\n51152 96648\n14377 89216\n29249 82855\n64133 95043\n50586 53050\n29679 81950\n59943 93232\n18549 39203\n37592 94024\n48610 91699\n8249 47976\n37845 47058\n7541 98783\n53709 69533\n21512 87154\n29059 52394\n39471 43331\n4626 22603\n20908 77799\n52121 99664\n47938 59073\n18256 75706\n61818 65309\n16225 43059\n30344 34847\n10748 51901\n55837 68487\n35128 56666\n8303 80297\n6440 54644\n34749 81014\n13828 50257\n22531 64039\n42765 74876\n54865 86442\n46559 94528\n40523 78820\n32456 97984\n14011 42210\n18827 89980\n28025 54996\n46901 60961\n37018 52694\n5697 96951\n12133 79697\n23286 72992\n85053 86685\n69363 88718\n40449 59708\n36158 54528\n27653 88521\n12462 28300\n29424 51230\n63473 94867\n33821 79591\n81961 92805\n23606 67931\n12682 56233\n32221 34096\n40391 64472\n24111 46780\n33160 54034\n17199 36222\n12641 17916\n48311 84186\n26535 30140\n1371 57950\n418 81624\n48458 61454\n58160 73182\n79527 79893\n21551 59493\n3162 52172\n22356 68119\n28066 79976\n1969 30807\n19500 44119\n4156 31655\n85718 96220\n16776 99429\n69695 77164\n49196 61696\n13434 89396\n51612 72163\n37853 55837\n40296 44057\n73984 91621\n22026 42665\n42933 94339\n19331 73082\n470 26719\n28631 92496\n53886 69143\n52119 92905\n30722 35730\n9084 39041\n28760 48414\n29345 31787\n7624 65567\n59640 63470\n30750 65431\n2337 5695\n16154 41032\n27494 76032\n64392 79237\n45052 81809\n7797 34639\n37942 65991\n2594 72102\n29597 60131\n30538 87654\n27580 75571\n26308 98361\n7244 87779\n36991 56770\n27048 70674\n46088 73586\n12770 90964\n49712 50241\n68473 75806\n12287 59683\n48725 97780\n64856 93667\n5638 41379\n22205 38571\n14530 86917\n21409 82550\n47197 71726\n65746 77364\n10000 28145\n47713 93092\n23388 97277\n45702 94342\n10472 77932\n3329 76237\n20609 75695\n83837 95393\n62995 95376\n28268 62745\n22879 88963\n14698 92287\n54459 71083\n48274 78400\n46606 57786\n27930 72872\n47448 55593\n33925 36997\n72584 82293\n56129 83739\n12925 86858\n45422 97983\n17630 70525\n50671 81573\n6489 84818\n34133 37500\n49600 57171\n1226 90551\n40301 69453\n21823 35575\n14894 83078\n30973 67186\n68365 91476\n26045 37911\n28750 73026\n2242 68841\n57841 69566\n37455 61058\n65401 91118\n47288 55692\n25178 67502\n83989 95730\n10112 83040\n7234 86663\n75005 93407\n9219 32878\n34384 78619\n85241 95939\n36 81541\n4017 9863\n40178 80091\n22705 61584\n13049 23068\n15704 37064\n39015 63729\n45456 88248\n61786 74710\n26683 96394\n5297 99051\n46818 98624\n21696 42012\n21227 95057\n72796 89417\n13013 31645\n10888 92520\n74404 87728\n57347 73143\n71162 98299\n22643 38729\n36942 65568\n10583 86494\n36209 65081\n46452 77527\n30738 43115\n17688 20504\n5354 60776\n62365 79512\n7585 43165\n6657 29736\n5628 88333\n75369 93876\n40608 48015\n55681 90124\n14837 58865\n10914 98043\n40953 56602\n27984 39534\n36656 43122\n70691 89950\n69747 94313\n53948 93197\n51759 66926\n4878 15588\n30198 40096\n33406 52207\n21491 87808\n25039 86438\n60861 68989\n17122 26001\n18900 20452\n56692 85394\n45252 52351\n57202 74839\n55260 86096\n41128 75105\n55208 95363\n15579 98191\n30608 44949\n30864 82692\n36276 96028\n66000 76003\n23106 26025\n44994 93453\n33888 66835\n11152 34358\n12990 61554\n3154 15656\n33062 88543\n21246 47666\n52786 77395\n29317 59760\n56824 78616\n57439 99532\n32743 78483\n1562 60612\n10991 74869\n63958 95354\n14419 52493\n28249 66790\n42507 54429\n67719 72274\n4304 19340\n46729 57912\n20200 98650\n18242 24799\n14562 29943\n59505 66352\n67875 74560\n52530 55204\n3693 75568\n44593 90774\n16787 92965\n28468 61275\n6132 21285\n54038 66384\n32313 46516\n69414 89345\n82188 95658\n74898 79044\n78347 85377\n75259 95534\n11028 13894\n90219 92402\n48737 98105\n32154 42085\n17412 81419\n19881 45863\n5928 59356\n21662 35742\n27481 53559\n13405 46678\n67370 68274\n11777 39323\n27053 53540\n85304 99926\n3548 82306\n28732 55435\n35811 40948\n12331 67466\n61921 99306\n24046 30043\n49045 56716\n24913 94898\n49721 69943\n54287 56034\n33776 39717\n39371 94849\n20490 77155\n50274 82404\n28275 59958\n22060 61144\n80407 98449\n847 98296\n35992 50496\n56214 66829\n10741 87667\n74761 90291\n72462 89465\n6432 44883\n32407 61306\n28429 41366\n45882 76401\n39620 59632\n50409 61445\n20116 31054\n6489 39266\n12394 95969\n46235 85038\n66392 72020\n23226 80258\n27018 42830\n8254 90699\n10726 99101\n71304 93386\n3537 14003\n9168 96681\n58588 68025\n15122 56852\n25074 56334\n28597 82145\n10948 85408\n15758 65302\n771 2799\n86055 90907\n13955 96521\n2463 65684\n26840 28032\n58496 97699\n64279 92963\n40307 77483\n33267 93277\n1806 90177\n29907 34980\n29949 80935\n7959 31580\n45596 58975\n44138 85346\n28360 75991\n71462 77436\n67224 70173\n76103 89254\n48814 77190\n52005 60522\n33167 92278\n14507 44954\n680 93788\n33909 54725\n4850 39050\n3820 59189\n4610 40424\n15957 24194\n63764 77207\n86809 97138\n46165 62174\n35769 94722\n54819 81556\n41465 81332\n27261 49380\n44285 49878\n49947 54753\n47502 68676\n35184 65592\n26388 84595\n30661 54702\n39157 73603\n36127 82037\n38255 92982\n85794 90634\n34986 40285\n2055 56102\n39285 92668\n21143 42479\n53993 97627\n50516 51594\n56749 83904\n12108 89968\n3873 26202\n78311 81919\n11528 70336\n14723 60627\n9095 28030\n21397 47533\n61906 84291\n38750 76990\n92113 97904\n13821 81072\n34755 93531\n2126 66509\n88941 96681\n70363 84214\n31355 49579\n94517 95727\n67427 86102\n17495 64536\n8383 71397\n9955 34591\n23810 94066\n26697 92393\n20575 68714\n6805 79556\n39349 58046\n9080 90613\n28389 97940\n35085 92724\n24346 62480\n7279 45771\n1041 51512\n50805 88206\n282 22868\n23259 89422\n35414 82503\n26857 41323\n40329 51412\n20412 77196\n29553 51615\n14094 51789\n65396 66016\n30334 56973\n31133 90063\n93795 98174\n27429 34621\n91786 97174\n90929 91222\n7858 51438\n7978 60561\n64947 85544\n5889 16649\n3867 49823\n52873 70796\n51746 74016\n51612 71149\n36102 71643\n34755 70345\n27903 91855\n54943 64147\n2840 85917\n32796 57598\n73332 99349\n48199 67340\n77206 92104\n26115 56095\n3478 80635\n82392 98147\n21209 32101\n82613 94348\n161 57364\n78815 85115\n8881 95428\n9002 23626\n9642 70702\n32748 45528\n38107 99915\n41097 85048\n10069 71721\n20587 69189\n71576 97530\n9544 98898\n92883 95361\n35418 75008\n98203 99075\n22260 56978\n52740 92403\n360 30595\n38955 97309\n59066 69212\n75711 86940\n57584 64182\n53615 78197\n49823 61076\n35269 97388\n5694 89797\n30655 70979\n73079 87234\n51564 61980\n34334 96490\n20126 57235\n59434 76211\n40611 58231\n78915 86826\n43312 79010\n37709 73436\n57772 99911\n7106 15749\n13372 52860\n11334 49261\n3601 91240\n4434 8445\n71159 83658\n69735 83400\n8560 99687\n26552 60387\n16231 41230\n30584 92739\n17416 87689\n70889 82688\n9822 89325\n40663 56550\n26351 61009\n3016 73629\n10167 48159\n21416 28685\n17905 84973\n56837 90208\n11977 55690\n9373 25765\n53622 53768\n24530 85541\n26139 27381\n74753 76761\n28074 49945\n2706 17269\n6929 32546\n13777 43560\n64750 86691\n17407 64603\n37540 74323\n60515 74607\n44729 53644\n1038 43980\n34955 37454\n50819 93886\n53184 63548\n75474 81175\n7047 93532\n38501 80404\n15007 18744\n83675 95540\n16311 77731\n56750 72882\n26336 74837\n15375 39083\n54611 91095\n9291 24137\n10806 27493\n37062 85694\n62778 99578\n9764 38918\n17315 25579\n83305 97548\n37467 52387\n66335 90765\n50203 95142\n10056 56005\n57949 90844\n71765 97885\n14921 69342\n31425 54999\n13862 27007\n60501 69493\n48698 53159\n9495 98248\n61479 82147\n15331 21451\n56821 95308\n25500 26316\n44497 49889\n45381 67283\n16256 94240\n65100 70457\n46012 65217\n42142 71636\n45241 77436\n24351 89427\n6896 29975\n4599 69788\n39698 95434\n27274 99461\n15657 58461\n29951 74237\n23097 69612\n68000 77835\n44328 55288\n5854 6440\n55554 90745\n11831 91614\n783 22757\n27394 92068\n88328 93845\n51807 87429\n58669 85944\n1934 92673\n3770 30862\n25223 60631\n15967 48178\n38250 76902\n24772 51822\n12598 96935\n33508 67074\n16778 88643\n65650 96766\n34149 59707\n41548 90029\n49025 50085\n47949 96920\n11687 41233\n1742 7205\n30845 52863\n57400 71083\n17308 71495\n11002 95277\n17727 89705\n7572 61567\n21838 75855\n28021 70608\n11817 41173\n16499 22490\n84608 86689\n12404 13357\n13782 95943\n35585 89084\n51542 98343\n3206 68897\n20343 50175\n33088 71467\n18205 94276\n5108 62943\n13051 58931\n90180 96987\n22881 77659\n732 69989\n21498 58932\n34028 50187\n83355 94441\n26993 48145\n55009 92112\n67286 82536\n76498 83727\n15571 64850\n46201 78274\n23085 25474\n23927 87024\n63890 81565\n19199 97469\n44227 80223\n57350 62198\n18140 99371\n2266 54233\n61189 94520\n58527 96766\n8631 88141\n17429 51965\n24713 35215\n39543 58262\n12300 68174\n4027 21786\n46781 59341\n7695 10202\n8225 61343\n27722 98169\n15045 34253\n39955 84733\n1845 56888\n46541 53281\n4778 42970\n18122 62170\n20095 93359\n56766 66456\n35510 72801\n36985 37316\n9064 44701\n38351 84684\n45614 74942\n8324 73386\n38752 50650\n20327 69185\n16160 23547\n21932 46511\n80844 83198\n7089 77083\n5357 6430\n14835 94015\n4132 17342\n52502 81089\n33868 86089\n6311 60777\n15016 85849\n24149 86017\n13654 92298\n16125 59269\n82010 96649\n64594 72176\n486 39016\n9381 82041\n37810 55917\n23710 92546\n7533 10087\n22323 23170\n22974 60284\n3881 93421\n53545 88630\n25118 38516\n73081 77690\n46337 72470\n797 66656\n31633 79399\n26728 86045\n57670 77366\n2913 15089\n84917 88133\n25475 95027\n53437 66356\n59035 97587\n16401 96416\n34223 83479\n65044 86186\n60024 98536\n31145 40385\n40323 97733\n33501 49935\n26630 36136\n33361 53801\n32860 97568\n36829 50580\n27177 51498\n54971 71953\n22632 61888\n49803 67945\n36124 63160\n34927 36241\n25627 50572\n60708 63313\n12818 14982\n16221 19271\n54043 57347\n4808 94063\n7545 86756\n41286 61075\n67719 84167\n35992 74341\n12677 80726\n53706 88177\n3792 25373\n1143 30579\n8163 72131\n2349 51360\n30022 99247\n15938 62851\n78136 96340\n76594 82087\n32014 62257\n12711 13667\n10714 70941\n15362 17531\n17194 91123\n74925 83191\n54449 86519\n57092 84096\n11397 14940\n60069 98381\n16435 62535\n64655 95332\n31028 92262\n43327 91233\n34845 91719\n48963 93842\n6004 94689\n21486 26764\n18950 71809\n7003 33065\n48602 64867\n54974 96577\n12575 18381\n24172 40745\n20394 97740\n24078 65511\n11474 87894\n46137 58006\n65618 75701\n4850 14114\n47818 52746\n39744 43002\n22406 26576\n2925 92054\n21168 57735\n59796 75275\n3923 98841\n51710 91100\n13849 66359\n20797 78474\n38661 91409\n17309 27794\n60955 81430\n62081 98198\n52308 97075\n34303 49935\n26757 95588\n16331 31997\n27991 94605\n21543 48127\n8731 15695\n47172 51481\n25037 90737\n16090 93649\n9079 75302\n19325 25652\n26677 81689\n8001 28695\n82964 86815\n39618 45175\n24029 55095\n60807 91484\n43525 87660\n17882 66341\n22031 64039\n78985 97211\n35757 88738\n1721 76881\n45206 64292\n20826 89816\n12056 22594\n17372 68990\n76033 78189\n30273 81886\n1809 87347\n20358 30909\n3919 22795\n9601 55512\n21556 45968\n26569 67741\n15405 40607\n30848 94573\n17520 80109\n8637 99634\n27197 87772\n32892 35327\n36095 98648\n96787 98366\n65990 82430\n11567 45673\n71796 71814\n31085 54782\n81881 97832\n51801 84915\n59029 93717\n31172 44439\n37276 94489\n10774 99094\n1681 33772\n82170 89802\n5368 66136\n19755 74711\n79957 88258\n64289 93913\n15178 16000\n19457 65281\n9976 96024\n52107 85874\n18024 63293\n61349 73656\n45720 95332\n91983 99874\n3706 33263\n50056 78074\n18534 61962\n16920 46650\n14009 45139\n65437 90178\n72656 80311\n15523 38418\n22766 94088\n47484 57632\n10900 62888\n11596 51372\n45263 71124\n6725 15030\n37181 70734\n21700 33610\n49467 74462\n9123 89136\n32883 80521\n36817 86101\n17052 54474\n66315 94287\n21997 69258\n21198 53272\n20539 50259\n60788 69483\n47253 81354\n7445 57961\n19971 26830\n48575 54953\n29217 43625\n46412 48935\n42341 67875\n39956 95225\n31776 77344\n37250 96270\n1462 99966\n17641 85881\n18469 76884\n73222 98484\n49335 95597\n4447 39734\n51241 96668\n32235 46175\n47354 98570\n59517 60547\n50913 83824\n42010 86634\n55345 96451\n29456 50288\n47886 49774\n40384 52764\n4502 83618\n39463 85739\n50839 77655\n29914 76172\n39799 49916\n61628 76133\n16836 24798\n24058 31202\n81006 93396\n33235 35006\n12642 66536\n14615 57929\n28371 49785\n18660 78693\n47753 72553\n17720 63159\n22721 43370\n21006 36529\n547 31161\n10204 41148\n7268 22401\n73042 81676\n8264 50780\n56376 72770\n27559 83795\n11949 85127\n9593 66587\n1684 80512\n40370 87141\n26452 35471\n64094 76435\n49414 73275\n6608 69236\n7305 45721\n8646 21694\n14569 59105\n27729 57656\n48054 93271\n36508 53948\n59273 98884\n46723 89790\n2743 16410\n66867 94794\n71911 77661\n17915 73694\n65432 99763\n40142 86289\n9985 52380\n13985 48054\n6117 9585\n84738 92410\n9150 96705\n12816 52632\n1721 96206\n86874 87180\n13550 81602\n23592 77395\n34218 55194\n42210 67353\n15779 68097\n2337 80370\n83705 98266\n62929 88004\n1258 54461\n365 58862\n30218 76283\n81667 97808\n76353 79883\n55189 85434\n16452 75975\n29933 89507\n30231 92680\n12633 35591\n15311 40033\n6800 27873\n33764 97915\n24638 47908\n54977 71416\n93007 93854\n1441 87557\n47803 74825\n47562 54623\n32793 51673\n49242 74564\n38863 88724\n61851 71130\n8738 55389\n47541 89125\n36322 72779\n7003 20577\n46605 54159\n2884 57146\n58096 75289\n57187 74571\n41042 44362\n11996 35173\n67523 85227\n38407 82460\n60706 76940\n19086 36323\n1549 37508\n66602 84432\n10359 90973\n27908 91694\n74299 87919\n56647 93377\n6074 13708\n19642 48393\n71225 95175\n28594 77735\n18165 91367\n78775 92201\n39846 47768\n80758 92532\n18536 96022\n1534 78499\n10167 60910\n21673 24420\n62023 66276\n2763 84129\n20954 43218\n33301 87324\n16291 90812\n9364 23833\n5696 88337\n11454 79210\n58122 79319\n13085 68838\n72613 79801\n71552 80605\n6470 74480\n54339 95258\n3616 16309\n58675 84927\n67124 80976\n38816 47469\n43636 45989\n13037 43794\n37499 80347\n16339 71800\n60236 97554\n51765 92129\n24848 76371\n44542 50428\n29771 48880\n25809 55067\n19375 70897\n41115 84016\n31582 46768\n32610 87698\n19428 83914\n5314 46028\n71417 92451\n88329 92356\n18898 54650\n71642 97457\n2351 53812\n38600 83531\n37307 94856\n33621 48183\n37786 67285\n17702 72377\n4911 44718\n84326 86435\n48409 52482\n28305 62765\n17063 48742\n35702 84155\n28318 53093\n52330 94951\n59991 74221\n36036 68588\n34890 73031\n15876 98674\n10608 40342\n14211 50949\n8724 74497\n23204 44466\n34393 87679\n28563 69851\n8500 95085\n55042 61960\n17276 82477\n26267 75757\n70142 76245\n62103 71517\n426 65760\n19842 60600\n52158 84424\n7293 29511\n42105 78962\n19848 96493\n48376 73262\n21288 72604\n53476 76013\n5465 28600\n37552 73298\n74025 89797\n6558 9038\n69193 75170\n32406 39265\n87563 91322\n66216 92845\n15822 75179\n14250 20102\n30091 92745\n5687 74972\n80884 99034\n23180 91545\n12226 15527\n44545 83959\n17973 38901\n845 68955\n34231 95221\n5984 88050\n33282 36516\n39890 71384\n83380 98759\n41356 62669\n61267 99421\n42343 45845\n27841 51345\n29626 36865\n499 8183\n53209 61595\n8142 44341\n88055 99957\n9815 16575\n71277 83423\n26593 84046\n12155 54088\n39001 67263\n81320 97924\n52686 53307\n60453 78056\n8780 66650\n21984 47130\n23365 43360\n51561 77465\n66163 86460\n7422 45115\n28662 66878\n38144 46914\n41281 60394\n53136 61112\n10419 87263\n21441 41441\n12190 22857\n78809 94302\n44082 77931\n7839 25950\n45473 90595\n35825 84048\n20831 33727\n9560 52390\n76487 91817\n13520 36498\n63892 89137\n31313 77122\n16733 98635\n12760 14130\n49878 68322\n16351 20487\n3663 60133\n92062 97431\n19085 22234\n8011 81189\n28746 92817\n75286 86367\n95878 96297\n3220 90795\n29510 92570\n53533 80595\n79545 91383\n86741 96485\n18231 91811\n4203 54740\n13567 49961\n477 27601\n16788 60399\n37735 79376\n21875 85559\n54236 58655\n28516 84630\n9317 18180\n812 34071\n13672 73114\n55671 71683\n36481 94657\n17939 95543\n50490 93895\n2722 64615\n65464 93873\n65900 78118\n77300 89429\n47669 92157\n34410 86654\n26650 81361\n35160 86556\n68143 91223\n43836 74986\n23666 56016\n42994 59343\n5612 72447\n30659 75251\n42961 91752\n22450 27311\n14001 14338\n19554 40509\n79 7567\n1544 28680\n27102 77457\n27483 39661\n69576 80311\n53068 89936\n27071 72747\n26046 36419\n65122 92209\n17478 37616\n10424 90819\n28895 63940\n65328 71140\n78669 88414\n9224 63008\n39293 44739\n37426 51659\n1790 31532\n29356 89565\n30591 44667\n59074 86764\n19989 80364\n2321 8634\n24054 59175\n59572 62900\n7093 74488\n88432 92845\n19649 95116\n10447 35785\n16804 97376\n12072 28320\n65123 75223\n11891 51292\n51292 90062\n11607 44808\n8196 50135\n81104 87625\n93172 93363\n29534 48537\n41497 57784\n4750 66764\n8477 81052\n84005 98063\n4412 39274\n71241 88623\n22794 37994\n23178 28914\n84906 90584\n25884 93493\n72630 99016\n62670 85908\n54233 86405\n69393 91171\n89236 95410\n17334 77932\n13922 58624\n48846 98735\n28915 44265\n4993 68404\n33649 62160\n45188 48269\n5064 27790\n14598 49863\n12728 95521\n17847 20973\n17199 89607\n3061 75361\n24544 74395\n16035 76502\n22425 66031\n64216 69712\n68900 98374\n44728 50124\n17211 53253\n6328 15090\n29480 34726\n6543 90416\n43794 48153\n40785 50148\n42325 43386\n43710 67055\n34997 48848\n31243 44814\n40568 74879\n6650 26274\n34283 86936\n1331 9808\n65723 82008\n32572 86360\n7704 84854\n72372 83328\n39201 63337\n48716 70195\n28409 91107\n43288 90583\n67960 87473\n3255 5460\n22276 89770\n9469 93411\n17040 63041\n73783 77824\n55722 58651\n27285 34900\n39243 71756\n27384 97416\n46644 93615\n26734 62319\n16425 34931\n481 76991\n61735 63312\n18525 52826\n67124 68553\n60953 62228\n16660 44207\n50194 53221\n49312 72078\n59289 96911\n31386 47396\n57753 94058\n53073 99062\n60033 78522\n32377 86585\n11183 66087\n30812 38585\n30320 62865\n2861 37597\n78345 78758\n32972 40539\n10038 19246\n68801 84053\n3633 80856\n45638 73174\n14506 18072\n92844 93151\n45699 79974\n1580 16123\n63135 94816\n9411 84235\n56763 78957\n80531 88122\n63243 68524\n40935 96864\n10251 28237\n77187 77766\n79843 89234\n56335 92724\n49912 89583\n33950 90101\n23688 57587\n43178 75107\n7227 74527\n75084 80056\n66410 92064\n72400 74085\n10326 67159\n77892 93249\n53960 96163\n13239 17895\n30449 38410\n18860 78650\n21167 78366\n57031 92057\n7247 41634\n56326 98083\n20248 75993\n71109 84446\n42878 88300\n11145 35867\n22327 70613\n49195 58055\n17678 56867\n42030 58940\n73329 87294\n8293 67724\n135 86335\n37585 46986\n11085 41041\n82411 95795\n56673 71994\n84397 90822\n12328 96083\n5153 78049\n81868 93119\n16806 23738\n43168 43180\n12240 96368\n2958 92046\n58853 94904\n8153 68085\n11863 20632\n27399 55721\n68723 70815\n191 7895\n46718 91907\n52771 78306\n33598 81854\n44096 47158\n10962 74596\n40192 53090\n13452 31074\n63863 85622\n70315 76278\n2466 38230\n57340 58688\n27428 56188\n7589 71425\n5584 67748\n40990 82576\n14167 84547\n49034 81527\n7481 69834\n2799 16439\n21572 85473\n17188 26865\n67535 94693\n35727 73809\n25476 49409\n13807 23627\n15813 44599\n20527 74727\n19154 19671\n80679 89453\n11203 22574\n2404 54549\n43996 91411\n44971 81939\n45589 98697\n40342 65360\n44368 50230\n52689 93201\n222 55862\n48163 80697\n10070 91323\n54059 73152\n14327 16726\n4642 43315\n20996 68209\n23696 83914\n62635 99368\n37344 45444\n21543 35235\n81575 92490\n52210 93902\n47342 51023\n3620 75127\n14437 88146\n11788 78697\n63055 78878\n18144 50192\n30813 86266\n2445 92107\n15338 60208\n61682 86724\n14053 38170\n32470 39763\n33564 37702\n16593 63886\n52243 73837\n11037 89822\n31573 76265\n71293 85824\n19702 95476\n16476 64515\n19904 51183\n18570 61183\n9914 14560\n3787 88410\n69334 84507\n3607 45153\n14690 84898\n5787 23586\n31623 86561\n3683 80598\n29554 88160\n30343 37044\n23023 97647\n11816 36887\n82913 91779\n48670 99361\n45590 70881\n89071 98141\n55252 74441\n72054 89456\n15616 26375\n57467 97849\n614 31362\n65510 85980\n38913 42941\n81466 84394\n30897 79934\n34983 89579\n54280 59710\n40058 53356\n15516 74938\n58068 99811\n68333 83577\n71777 72460\n13533 86432\n98389 99050\n12396 46682\n8901 91379\n64622 95773\n16105 97637\n18830 78629\n17105 29385\n21004 62259\n22453 74889\n64160 78363\n36111 45730\n17986 31415\n17259 17672\n55342 78677\n612 60758\n83603 87146\n39797 97860\n5185 60119\n47324 79721\n42013 81677\n18194 96236\n9044 41982\n13469 27445\n29282 37224\n41623 99475\n36025 70916\n57891 79290\n26011 72503\n12643 91937\n44030 54506\n62929 63955\n24382 82416\n60238 69707\n6871 7749\n3646 23851\n74647 77829\n42324 76156\n1142 40046\n78491 88748\n11231 31178\n18922 93530\n3519 10455\n36073 57333\n26919 96720\n53370 90776\n444 86407\n11302 75718\n30394 59110\n74863 85528\n51345 56031\n21447 70210\n23110 24757\n39376 47845\n38654 54969\n3540 46780\n9305 19517\n24008 27924\n14569 16215\n38127 68843\n59502 82569\n35454 97457\n7122 49315\n79045 90438\n8882 97314\n42955 61330\n34721 78050\n19135 75645\n13985 35571\n83321 84789\n42643 74604\n38333 79461\n30699 77574\n13227 85581\n26064 48090\n3913 84456\n63247 95005\n38557 93145\n7074 14094\n17207 92316\n4000 58510\n7216 68640\n86045 92518\n53134 80912\n787 82410\n12566 54135\n50037 69126\n14039 99127\n84160 91560\n15392 27844\n38279 79063\n46127 48365\n26411 61168\n1298 71232\n23987 96524\n17420 73985\n12289 22692\n11462 14587\n37986 90731\n45279 94424\n21520 76113\n22957 28646\n84053 92714\n69039 99985\n81981 94185\n24073 50614\n39735 91002\n28392 42033\n309 20060\n1507 12434\n89861 90059\n21313 41788\n33902 36042\n2854 64113\n29987 54564\n70838 78603\n55641 95572\n1580 54824\n27509 92899\n31573 65042\n38285 82931\n63641 91002\n2051 91922\n21670 97106\n23477 51481\n3305 8482\n16340 67310\n52585 86659\n53427 88843\n74408 83127\n52788 97004\n8912 97174\n22676 47670\n3017 14151\n79982 81836\n70334 85499\n3700 61038\n14621 47002\n482 21126\n37420 79246\n6548 98790\n24077 73869\n73025 80506\n14890 79053\n13844 59402\n39802 81006\n8217 44860\n9217 16050\n21700 93437\n25033 74046\n53064 64428\n18353 60298\n13778 61251\n10932 83539\n33822 87584\n45378 78829\n6571 60002\n40417 44001\n43093 75037\n26580 36488\n7723 73647\n55609 75792\n28500 52388\n13288 95409\n31387 34852\n69921 79651\n75781 97728\n17139 96012\n13811 60060\n55457 86309\n56923 78978\n2049 33239\n21665 73007\n49059 64825\n40790 52830\n59322 91037\n15059 97537\n19082 21953\n2085 13647\n46875 73460\n11192 15263\n70510 86998\n14690 30489\n6580 48589\n83781 90294\n60357 93584\n88743 94637\n11641 91845\n30796 57673\n67495 75793\n25969 34992\n23040 26696\n4830 85985\n80247 87602\n21219 46001\n9787 81034\n2715 62033\n5498 22148\n47587 93123\n22386 96685\n69578 76592\n64851 76435\n33106 98670\n45262 48310\n31955 60793\n20147 21543\n40913 54664\n4325 25445\n24263 58911\n41152 81417\n32768 71613\n62204 73943\n35270 70967\n32693 67790\n6726 14583\n20699 63180\n23349 37326\n10207 39131\n27671 61221\n6322 41654\n48352 58092\n50261 94144\n7440 98299\n26005 65329\n7902 9352\n33577 68801\n6841 55036\n49147 88352\n3368 87297\n17173 69967\n39690 76831\n39892 78839\n52302 53982\n57691 98598\n19635 44628\n33820 49854\n80287 94271\n13956 70539\n41995 96872\n11241 14245\n92305 99951\n65235 79226\n31848 42329\n20555 71825\n9094 97118\n35320 95492\n37089 96133\n81492 96732\n32587 86636\n12424 59800\n1069 84601\n29406 61410\n68827 75050\n9272 17125\n49301 98102\n84613 93712\n52761 56687\n74933 83973\n17835 56256\n38014 94126\n20785 94584\n29139 33955\n57038 68359\n43063 95862\n4747 27166\n20656 25726\n160 42108\n35051 76697\n48875 57425\n42562 97854\n24279 42640\n61985 86493\n52924 80931\n42826 87530\n26065 37862\n56915 77522\n14381 81155\n4467 61999\n34478 39901\n57111 66524\n18165 88665\n51195 52796\n34083 52293\n24187 51577\n46092 56727\n41724 92336\n23541 97077\n322 25561\n19010 19090\n57902 97569\n46035 70355\n78492 95503\n13756 86850\n19612 64554\n62144 77338\n13216 68135\n30752 58766\n1444 52885\n39258 99650\n73528 75045\n2383 17751\n67014 75921\n23781 75421\n61559 89491\n22469 72593\n34927 85849\n6435 78201\n58264 74238\n3370 54588\n29198 90807\n12780 51008\n8147 55547\n72797 89969\n17285 41623\n58751 60844\n33038 49553\n42978 62065\n74934 99446\n11025 65021\n41379 66425\n19545 80591\n19130 32049\n22968 94308\n38036 86524\n11135 11456\n26376 30141\n7903 80217\n69865 77903\n47711 75152\n982 30280\n19365 75824\n12308 76595\n37200 61799\n6026 13557\n14824 90820\n13915 92489\n33972 61998\n77473 90023\n11439 47578\n46872 77806\n31522 57745\n55185 69730\n40631 65135\n68660 96472\n11364 23696\n21170 54207\n70100 79535\n54187 97250\n28382 47489\n57481 83600\n9936 30574\n18312 43104\n50195 83648\n72038 92795\n82003 91671\n66180 76806\n26577 73223\n21977 53437\n19991 86471\n4549 64036\n54540 59863\n30927 44118\n9901 35461\n15306 78629\n17062 54916\n36840 91164\n167 6825\n10371 36372\n9154 61212\n20441 75477\n7852 82689\n31548 58111\n64574 69724\n5520 76300\n3525 52661\n21032 90186\n18991 56616\n37849 51287\n41369 43338\n58218 73349\n6319 29254\n68642 99578\n33363 68346\n18170 84988\n11093 56908\n28739 47987\n6167 50585\n12900 96367\n27555 70288\n34337 40323\n24651 52398\n28198 93815\n34949 45593\n28010 61815\n7115 11458\n69561 99144\n59127 64755\n8255 80239\n52029 56512\n5014 33290\n67024 67633\n12850 21032\n4833 9041\n36300 60927\n23812 30310\n36917 65959\n48990 58914\n4626 79159\n4671 95792\n36563 87536\n12692 38052\n3925 80020\n23216 58587\n82468 99177\n60724 88834\n23319 98968\n15379 51812\n25317 97965\n30294 56927\n7053 47512\n13677 28327\n41813 69136\n14534 93349\n14911 54769\n773 41830\n66606 66971\n26584 58140\n10468 39992\n15211 36391\n16357 35370\n71773 89146\n466 91194\n10401 57410\n31655 89317\n7383 98295\n10383 68792\n13608 26119\n39088 47272\n67442 90886\n30957 67631\n4456 14284\n48500 66502\n28649 36950\n50427 50820\n39634 87281\n15761 31942\n41745 79731\n19639 40637\n19120 57743\n69340 73023\n30769 49287\n36649 65034\n21598 50561\n56367 95580\n32834 70079\n42899 75521\n11781 44613\n27784 64539\n20029 78027\n61588 99288\n61089 89637\n36649 75884\n25425 88810\n71701 93721\n39495 86662\n20335 44543\n9317 88244\n6924 15673\n36130 42530\n12985 42233\n56426 89759\n27998 85953\n5542 35547\n59194 92702\n46907 66149\n315 54921\n23597 42079\n46542 91079\n60957 89474\n10451 78451\n15152 78224\n38556 60279\n28551 50008\n11243 69056\n11246 59320\n43366 87444\n1639 59257\n58254 81066\n77175 96788\n24181 73321\n22901 82195\n11358 26674\n94574 95594\n16149 27977\n38410 69078\n5157 6926\n9492 19820\n55670 60743\n19387 88589\n80 14337\n5658 84330\n50248 58009\n33297 99742\n2659 30722\n42237 51372\n14378 83242\n80939 84164\n91610 97896\n53681 75196\n53410 63618\n22101 23477\n6126 14984\n37570 56778\n2742 47971\n8250 22705\n78027 89291\n39041 62947\n24725 38849\n42648 83346\n71134 81784\n2501 68788\n61071 71901\n50813 52687\n39985 83724\n24360 67592\n51903 86927\n38759 78720\n19412 84285\n23495 84036\n47413 71686\n14771 71689\n83919 84991\n14623 33687\n88927 95815\n14623 39952\n17110 88904\n11363 47463\n4542 9472\n19851 54238\n28081 61792\n30447 57236\n66286 70249\n12343 19242\n18367 89592\n11753 62211\n53822 58077\n43815 84922\n539 84656\n14742 29978\n42025 93112\n53853 77810\n4338 9710\n1785 18253\n72604 96798\n11956 57195\n28346 40004\n21741 69707\n87053 97649\n8046 14744\n51096 66661\n7625 24995\n38507 65597\n54685 56591\n450 46530\n31513 63675\n4813 6545\n6606 79833\n49189 89036\n3054 32967\n46238 94163\n20437 50091\n6815 73958\n16125 41932\n23056 86747\n15596 45839\n45604 90689\n35198 81440\n69171 91976\n38572 92925\n24873 76786\n8626 44211\n3561 69373\n52551 74650\n21802 92974\n59106 87456\n20276 71172\n8125 50856\n19566 93863\n24844 92746\n54974 55992\n14811 35710\n56252 94858\n7583 92406\n65263 92959\n42052 50049\n33061 82761\n58212 91100\n86241 96156\n9479 10994\n32757 97491\n26781 86547\n5271 71824\n54399 83983\n3418 50309\n15539 54678\n60500 67544\n18779 59776\n27502 49008\n60525 65589\n58203 72248\n59179 77105\n21862 80865\n38233 99326\n2818 58703\n16522 88708\n3270 71183\n25391 33689\n4763 27853\n39230 43945\n70477 82657\n51263 95900\n1000 80990\n927 15682\n7609 88513\n14179 66910\n9976 71966\n33265 67701\n29276 33466\n10462 24415\n33191 94481\n18937 84951\n47409 74046\n41176 71877\n53038 77616\n27211 77659\n3822 7904\n47049 57052\n57303 69773\n49178 51834\n10206 80218\n39739 65405\n36670 74083\n64871 96443\n50988 88641\n25179 60370\n16733 43500\n32203 45280\n47625 93610\n52108 52823\n57025 81153\n16664 72973\n6891 34523\n56932 96874\n41882 79053\n57682 99747\n22844 67053\n70732 94663\n89608 90168\n78020 90750\n37281 47705\n40750 47244\n47571 74171\n62174 94525\n78543 98048\n57738 71912\n51189 52138\n5437 45072\n44269 44666\n30578 88291\n23933 50140\n39880 59952\n20738 31815\n3060 66655\n2638 21012\n64321 67697\n7049 75919\n12803 51273\n16724 18913\n41513 84970\n56154 64230\n52472 86142\n7572 40408\n15185 72437\n7833 28655\n33379 71881\n67650 88272\n39024 65467\n99236 99389\n60473 67910\n11309 54317\n24809 91172\n42384 91242\n43639 79415\n30712 69938\n38203 72065\n41759 55913\n3073 17461\n70026 75136\n7862 97219\n55414 78235\n42370 85417\n12610 61354\n56063 79465\n7798 63764\n17286 93139\n911 71656\n4412 79043\n60757 83625\n48831 95807\n45288 58304\n7924 62222\n92731 96708\n2412 15308\n41037 93447\n36209 40611\n67024 98298\n44474 75309\n40358 44191\n14750 80857\n39005 61021\n70720 95532\n33027 89423\n40568 56319\n33706 76213\n1515 19481\n27304 94872\n4316 42003\n28516 40184\n29936 70720\n66444 66445\n59504 92101\n66707 99692\n12040 93961\n41109 42978\n9133 15886\n37436 41292\n33372 36937\n65737 86936\n19322 60900\n32990 68538\n29790 95809\n60436 91404\n16416 81412\n22781 24587\n22335 54907\n22975 28041\n31653 89177\n13951 86159\n579 51829\n599 98977\n53843 53897\n77573 89368\n23310 61606\n12180 82591\n31225 36657\n30963 62686\n19940 74622\n25578 60700\n15550 73886\n3844 87400\n62187 96545\n21236 59564\n24928 26082\n27875 46779\n41451 93894\n36337 44454\n51390 72601\n12780 59186\n24052 68007\n4938 38186\n17610 34280\n5125 51018\n35213 93979\n3191 7330\n23869 89812\n46203 57447\n70528 76030\n15400 56473\n12653 43239\n4970 71220\n56252 66405\n1760 58623\n61693 89923\n59343 96272\n66465 69615\n16443 68361\n69389 89356\n1220 33305\n78820 94614\n20489 85558\n43398 61894\n33571 94330\n13075 38094\n13608 67655\n10668 47863\n12901 21532\n51416 76121\n2941 88841\n27637 47797\n73974 95217\n9055 81032\n22563 63840\n3510 91304\n56500 72236\n13625 88888\n76308 91155\n29873 59402\n31217 93996\n54782 68604\n88391 98254\n41440 95134\n17044 93797\n21641 42367\n19140 83178\n6484 43594\n42966 92653\n28352 32175\n26352 32462\n34203 75177\n1576 52643\n20010 21034\n7692 22094\n18089 77942\n63570 67908\n64795 84360\n15812 67307\n32417 48692\n52952 97948\n43084 47335\n32051 92669\n34299 48466\n26393 96309\n35621 85697\n25325 67518\n1912 20008\n42147 67536\n49204 75983\n49620 68221\n46742 84457\n23026 66924\n32043 32805\n26783 65097\n11592 44936\n9641 32109\n52332 93322\n65834 72417\n24167 53577\n2271 35070\n36960 82616\n24538 73344\n75322 78725\n40553 85139\n635 24612\n56665 65626\n22799 82473\n8660 93804\n6430 50868\n7525 86425\n17991 67132\n21003 34521\n24611 34196\n5883 68653\n74657 90784\n26342 33890\n43977 76768\n6286 55044\n26601 60476\n72620 88591\n21725 87359\n74444 81498\n10965 81148\n19922 79828\n14681 82502\n10142 78159\n65122 93269\n17406 56171\n53908 54480\n17881 66331\n23470 84655\n26277 66932\n31037 98889\n58965 84208\n88369 89555\n60624 78502\n24210 40206\n61018 78770\n69630 96160\n38954 98536\n41972 46549\n27202 65932\n14289 47422\n50262 83461\n17118 19380\n90264 92095\n22463 90883\n13831 95896\n13943 37020\n93103 97938\n3989 42124\n22673 80036\n26025 69282\n27745 84218\n1379 29246\n6952 82776\n13407 85690\n50523 57786\n33242 68451\n13775 59292\n35469 57854\n64484 73835\n4447 63094\n28778 51561\n27197 80675\n61371 71088\n17517 67157\n54000 58834\n18333 78768\n269 47781\n26862 91396\n12024 88899\n25912 42724\n44654 84933\n590 15974\n50238 56528\n50678 58793\n33154 95398\n49212 62459\n41571 60132\n36432 58656\n70513 73096\n42143 95513\n19581 46297\n72436 76545\n47120 84231\n16402 47188\n29332 94082\n15389 32415\n29138 96857\n33508 34354\n3772 89913\n75880 95236\n32421 44075\n7892 55990\n13614 94013\n2122 78706\n44954 97387\n25423 91796\n80825 88244\n67586 89567\n10448 22923\n52427 82603\n39881 75649\n44476 95898\n57460 62689\n28929 58451\n65467 70347\n14923 27597\n79749 94754\n11453 36826\n20839 44316\n17297 75059\n65234 74091\n16799 71707\n41453 92349\n40119 69218\n56861 79551\n65738 92326\n17082 19448\n21520 29565\n31382 72889\n50818 97157\n32495 75032\n43619 64396\n61065 70935\n44874 44972\n20982 43799\n52696 92495\n1647 70081\n22801 73399\n20094 38915\n50002 71210\n11 70464\n41211 83259\n25151 43115\n13246 69654\n58089 88625\n62325 74459\n18009 38494\n47197 48657\n905 22435\n20389 55542\n3015 13829\n5975 62959\n64476 66857\n73851 80129\n94445 99701\n22216 59385\n5596 61156\n45907 74510\n34385 84879\n22660 34355\n27406 90747\n36205 58262\n25231 55124\n1506 31992\n68895 78793\n40473 98768\n54255 62729\n48798 98357\n79194 95904\n73765 99980\n21276 84639\n9415 97855\n57958 97417\n13232 69518\n52921 91398\n12939 21652\n41204 98014\n74243 87630\n5618 55393\n60010 97279\n13538 51119\n33421 58166\n8788 26671\n8757 95512\n3523 46927\n9641 83422\n1229 23827\n5514 77717\n59599 71306\n20 46494\n49017 67892\n70618 73297\n56170 98169\n54062 55794\n1297 13822\n25441 61436\n63351 72719\n21762 25372\n72067 92354\n10345 23754\n18632 73227\n3867 58319\n38205 64574\n42376 65489\n98266 98901\n34912 56023\n50066 97168\n46369 90548\n22332 26325\n33665 81404\n68634 73055\n39185 73417\n27872 30891\n2603 98879\n28253 95353\n7969 79308\n24837 55908\n12077 35873\n55508 60839\n58743 81357\n12652 18812\n58074 70605\n30919 98454\n23307 48877\n8577 41659\n34487 77773\n27745 99095\n2657 28800\n32780 60193\n41023 75968\n91667 96418\n37465 41721\n76710 95579\n3286 50130\n22830 69700\n49466 82380\n16984 72277\n1051 51252\n63695 98429\n7771 85951\n97654 98560\n23135 79405\n13503 89709\n13480 45847\n23759 92557\n44020 46512\n7061 60829\n17164 72496\n22091 87367\n62717 79554\n26336 91568\n18951 42763\n20780 87990\n2465 24315\n5881 79015\n4870 21209\n9365 46186\n31782 34568\n17641 47093\n9619 72052\n30378 51903\n17825 47628\n20501 28001\n34949 50049\n44700 59329\n18216 98382\n86934 98504\n30293 43154\n15181 25238\n10371 11473\n2038 60625\n19849 38359\n21426 41616\n4563 32685\n23700 46541\n21805 72440\n23557 51273\n33759 73166\n24828 26206\n22601 89712\n42770 79901\n11946 17239\n2531 94312\n83523 94940\n22230 59615\n63250 71589\n32171 82450\n74763 88181\n62001 63125\n58804 79294\n14232 55566\n77149 84138\n41063 55235\n43215 91363\n754 89556\n23630 36087\n71818 85531\n6810 68969\n11460 91955\n20644 35621\n35302 75794\n17965 45059\n40339 50154\n30161 58897\n443 38459\n36131 44975\n52081 97919\n31962 89183\n12022 26166\n53743 89911\n86169 94503\n26463 88036\n22025 84098\n63745 99028\n50446 78254\n78709 81358\n25638 86036\n11626 17289\n25386 84861\n38272 55804\n35831 93219\n44000 91474\n23744 28002\n3027 39823\n70115 95177\n13136 68093\n18794 54037\n17512 45146\n52626 82258\n52292 78646\n26953 96627\n32562 86587\n47634 57896\n7698 48586\n16782 23005\n4879 30775\n15645 80424\n50508 84576\n2544 37466\n50243 95794\n15241 21048\n60259 80932\n741 81175\n38850 87936\n4096 14603\n48091 75083\n50607 98706\n23238 42442\n24786 97562\n71961 89030\n36619 80643\n1068 90788\n42137 95242\n27723 80010\n29336 69147\n9567 40376\n49271 53700\n49039 90646\n14486 28646\n28981 72592\n6694 74646\n18968 80726\n55004 99058\n76117 97248\n32798 47743\n49821 68701\n79640 89083\n31441 70890\n52934 56006\n18463 78931\n10299 20147\n13299 32380\n8270 78381\n19675 65292\n74398 87830\n32906 36747\n34281 60622\n12290 19140\n50197 55051\n69302 95089\n1320 6410\n51911 83784\n70479 98433\n14253 55724\n61377 70804\n21463 64715\n5550 57927\n13055 31710\n29404 31670\n11127 26684\n64198 69192\n17267 63573\n32726 72355\n7866 81645\n19867 28216\n37822 80655\n18708 88652\n6924 27240\n36062 78390\n65275 92160\n35306 76787\n82591 88438\n16331 72136\n21365 64481\n76979 77925\n10298 56626\n51411 65361\n6528 80174\n46827 78699\n14495 49707\n28945 33074\n34824 59188\n61026 73203\n40898 90729\n61011 63662\n34299 41325\n18241 76974\n29163 40132\n46166 71843\n8234 48136\n32129 48252\n63842 72319\n91174 99726\n4445 78996\n47070 62652\n57063 81807\n18489 99988\n19194 23975\n63841 87365\n4273 7407\n1404 39191\n18116 73448\n6805 9602\n17117 33315\n29774 82854\n65034 85364\n84395 95728\n24037 46631\n56193 56953\n45709 79722\n3357 61854\n17005 34042\n82561 91685\n49064 92288\n54301 72234\n53396 62760\n25493 69019\n40599 41069\n2795 74510\n57450 72913\n57293 64554\n24758 67166\n60276 70621\n68516 99749\n68928 73670\n12068 16506\n3498 60094\n36591 94718\n79581 84034\n35840 99444\n14853 56998\n35688 91979\n27654 66569\n6444 42675\n12157 42227\n55370 82829\n1709 51133\n50969 52218\n3943 8112\n3767 11667\n7919 23772\n30538 34731\n72680 82678\n30266 83336\n25651 73352\n75524 87902\n77742 99322\n79370 97283\n11766 48886\n11509 84908\n37954 53942\n25852 94718\n92277 97774\n27168 70761\n29865 66962\n40653 58394\n84620 97480\n4486 30842\n65015 74837\n41983 52619\n54984 66336\n35964 57069\n47366 53112\n8578 87867\n16600 53972\n63651 97479\n6075 14035\n5182 66603\n65305 66988\n10092 27271\n28517 38546\n15377 15903\n6533 34150\n31323 87420\n51150 96757\n29988 33464\n79266 88195\n1405 85661\n19214 47703\n10185 10585\n26117 77478\n777 65519\n30130 80699\n70509 91812\n39574 92588\n10482 99874\n86155 91122\n82433 83130\n68099 71942\n86713 97341\n84526 90390\n31809 53408\n24881 58692\n683 13250\n33426 38193\n26430 27180\n10478 68330\n50813 76210\n20018 45781\n8565 59924\n51145 98013\n19421 89096\n13005 35798\n17109 46117\n66554 89388\n13143 16886\n30323 91247\n19086 34212\n11446 96575\n26707 57254\n46697 76284\n52852 79973\n68626 93423\n44152 58358\n7920 61265\n13505 92559\n73382 83135\n3613 34098\n10546 95141\n11766 87238\n63727 94227\n72836 83551\n93229 96595\n15421 15861\n5417 49079\n52994 85220\n45927 71121\n17476 53176\n12608 93229\n44292 96539\n9220 22582\n66909 95709\n49905 87997\n1004 84659\n84014 99318\n26953 96194\n69977 85841\n38574 56978\n2561 87296\n32874 47629\n58805 78026\n16482 93828\n55765 67011\n9244 73600\n17807 25274\n32080 92344\n26668 75921\n72599 78717\n7363 60680\n7496 65640\n62690 79573\n501 91917\n18117 32687\n53134 78605\n2287 21846\n50079 66478\n16343 84624\n73458 87671\n3447 61298\n14092 94270\n30967 90470\n29718 97952\n68259 88148\n54837 84368\n47876 94092\n40275 68419\n33411 40465\n42528 55332\n56504 60974\n25713 76193\n71989 91789\n50515 77627\n31296 50961\n18510 85636\n31385 55970\n15596 37370\n49588 72811\n7764 13015\n64169 68873\n2332 21670\n24356 73496\n15948 73745\n18532 60928\n27292 45138\n37718 82622\n41790 54603\n48047 73130\n22867 27278\n45893 51170\n39284 99890\n92861 96824\n43840 99396\n34828 47615\n18964 34597\n18062 39908\n71310 72003\n14955 93106\n6573 14609\n21859 40152\n47691 83172\n47601 94168\n7139 65426\n46888 74800\n16795 54519\n8706 59240\n18245 95036\n18929 29317\n30298 90231\n67577 93130\n46012 89575\n22719 97709\n44078 66148\n44159 76830\n72083 76299\n11796 95507\n26735 83287\n43302 55484\n32420 82047\n43339 76516\n32227 74048\n24587 65975\n38039 52563\n46315 78653\n22090 83269\n25392 62138\n4415 59355\n5508 8533\n9552 99891\n41541 57422\n17185 57885\n12990 60637\n14196 22977\n81481 98535\n59250 90468\n31163 77730\n1895 43769\n5965 94527\n76910 96144\n19735 47056\n7909 12369\n30692 84361\n34683 46654\n39950 46132\n17423 49867\n71084 84497\n20399 59606\n548 49097\n29880 39477\n16192 34113\n26451 47456\n57235 66114\n17921 61721\n77809 82647\n10117 20729\n88161 92940\n17060 62948\n5606 83246\n28709 79672\n17332 34170\n47683 89669\n42783 99081\n40588 96081\n23666 29299\n5953 71653\n53098 77834\n96406 99220\n24308 50530\n14480 59941\n17303 35730\n60662 88095\n57033 87742\n10740 46615\n78 9171\n64105 92743\n21663 41894\n63936 87490\n35880 50450\n33672 95131\n1135 96698\n38379 76860\n23895 63553\n30090 76153\n46867 48445\n40786 79540\n77071 87486\n4436 75738\n7999 82352\n12727 48761\n7205 78477\n47652 56987\n745 43117\n13857 78648\n53439 64194\n29456 47591\n62055 85378\n19268 97348\n32540 72930\n24802 48779\n3038 77379\n33844 51015\n7289 43329\n13611 52456\n82561 86985\n29251 75905\n27114 63222\n49037 51336\n3793 55279\n39263 44791\n61842 86222\n19852 25558\n46534 93744\n59637 93828\n42379 52635\n51883 72969\n9081 21302\n20108 29836\n3959 71753\n10073 41750\n43329 76331\n46012 59384\n56953 78906\n18780 54046\n26908 31333\n7279 66482\n46849 97569\n64227 91484\n15761 93702\n17007 45595\n22362 30466\n73540 98588\n6640 15583\n52086 53054\n13076 94184\n14827 74002\n40258 56834\n23725 95521\n43058 56455\n57355 92138\n46320 93622\n15204 32077\n21993 78902\n17833 72528\n895 22485\n56129 81802\n21869 53283\n59272 96051\n19266 48929\n9039 36161\n37802 39680\n4991 23780\n35431 83977\n35228 46382\n20939 38060\n51907 61626\n10955 11090\n56687 75924\n14269 49979\n25333 85487\n8399 64551\n1285 81016\n25917 79059\n25445 64458\n25252 33057\n11820 37853\n24818 69330\n5269 68620\n5763 90041\n49087 74639\n71341 75813\n20177 54685\n17234 34537\n48018 56835\n2546 28696\n13798 65518\n56438 72902\n9767 48029\n996 40349\n6912 24871\n31946 73525\n3606 24960\n56405 80580\n16886 72235\n37932 73814\n47060 85610\n43289 69818\n8698 29052\n22528 74935\n25357 57122\n15163 78522\n36844 36966\n9053 50598\n33586 73479\n45115 72330\n61023 85473\n59692 75856\n7246 94732\n38094 88656\n52347 60863\n4224 7624\n25817 96211\n6777 82957\n17686 64111\n37057 48777\n39529 58658\n2701 22849\n11572 18139\n6212 33027\n65335 77906\n45971 96044\n38567 67354\n56836 65217\n48670 72458\n53899 81522\n9547 52588\n31095 94736\n5931 66428\n16032 83315\n4932 79149\n8787 36738\n41312 46890\n8630 10814\n6166 7279\n35923 96062\n50688 99853\n3815 34443\n2762 97816\n34902 77445\n19687 46403\n25305 71666\n49375 87429\n30411 87985\n26191 66503\n60459 76701\n41429 74313\n12734 89788\n66814 77473\n9252 35911\n32114 33092\n4522 11538\n49152 96714\n8567 85583\n18316 59423\n30740 55626\n8911 65853\n27969 93163\n9380 30008\n8782 99940\n52496 98284\n33871 53961\n58895 72763\n12881 44570\n27794 89226\n78688 96228\n77986 91843\n79975 88391\n7311 14444\n60065 84770\n67482 93832\n65413 98709\n19483 86449\n73089 84783\n59121 93325\n4799 10490\n69918 80343\n50803 73022\n16776 83818\n44348 78296\n8212 56688\n39646 65561\n7742 51626\n10123 69530\n54190 68505\n49375 80116\n10369 46389\n69745 70057\n6342 16852\n6965 45930\n4335 62760\n54006 68929\n79913 95577\n80893 82905\n38301 98797\n75369 92472\n48945 95972\n18745 97736\n34417 69105\n8394 76688\n226 78823\n17719 30692\n4118 79632\n25802 75350\n19864 31005\n4949 31429\n60514 71252\n32431 95986\n5382 49919\n43213 54772\n5423 37170\n42830 68746\n22559 90846\n8340 99080\n52589 96854\n47626 74123\n33281 66500\n13441 70449\n26750 59721\n39686 69606\n31077 51794\n30021 51194\n9805 14283\n14520 28464\n11366 32239\n67378 79053\n29442 71944\n67476 77934\n41224 96755\n32132 36676\n18387 67659\n42445 46534\n3037 60835\n20505 70125\n7476 25284\n59512 73067\n43118 99918\n30069 53018\n18092 39129\n10349 37124\n26566 27014\n29532 93705\n34468 70494\n11357 41045\n72012 88497\n7771 71897\n72047 99677\n510 82315\n77910 87444\n59634 79713\n5661 25941\n53100 87649\n53023 72205\n1570 52869\n10258 64866\n8885 51456\n53143 94711\n63932 64128\n75588 91946\n6618 36014\n8208 57969\n12388 16410\n16516 91939\n76798 94967\n35155 45216\n33356 39290\n59434 91207\n60397 83336\n12728 39601\n81397 91482\n31254 37591\n14218 65662\n1418 16060\n88344 95441\n26940 42155\n18059 89125\n11932 37006\n66510 80682\n32295 43868\n7292 25421\n8945 11706\n36668 37879\n21907 61108\n50688 94356\n1858 52822\n37142 57135\n48944 49943\n23682 41048\n53259 64551\n41378 45645\n5624 89207\n79828 94474\n8359 87261\n27483 98601\n9551 37833\n15415 30138\n54814 75740\n64297 93078\n59223 85537\n43002 50819\n61746 70103\n22076 52120\n48658 88344\n29426 64398\n8145 79612\n263 27353\n823 22030\n71494 78906\n16562 40069\n26647 92500\n20546 91169\n23175 45668\n29236 57357\n55454 97524\n9815 90021\n29948 65212\n35371 71203\n13908 68998\n25922 91842\n23286 34284\n11644 75003\n19025 20913\n36785 87594\n41488 92152\n26314 35030\n18918 99457\n55843 68507\n14101 61946\n57558 65175\n34434 97832\n20379 84145\n25669 36616\n27631 35814\n5988 78341\n81447 91706\n46772 51960\n78254 81150\n80902 90727\n29094 97937\n52815 56904\n50790 97044\n13846 23888\n31979 32333\n76447 79095\n26645 62355\n38099 62467\n41251 92189\n64948 97632\n44850 91462\n43970 50833\n20079 51980\n11618 59951\n40958 82283\n60078 88378\n17724 96854\n12278 79310\n2126 20072\n61708 78492\n1921 54253\n86986 89410\n46165 71062\n36379 94638\n71209 84105\n22596 51592\n14198 62004\n56876 74272\n2318 96269\n14719 86452\n27305 35720\n51981 86484\n22958 51459\n61044 68383\n80405 98161\n6672 51566\n48519 91176\n11745 43743\n20052 88683\n37582 99352\n18116 69195\n42416 80215\n18265 78312\n13349 22775\n9659 75133\n31513 41700\n5018 72611\n62495 79322\n4079 47343\n57182 66278\n21067 84577\n94975 95388\n31653 72240\n60088 81107\n31807 44501\n41811 63456\n55661 61493\n9276 79541\n35539 85502\n7752 82825\n54599 81495\n18627 82403\n28551 46201\n36449 38062\n49747 89428\n820 2865\n1564 47484\n28062 91730\n13003 76946\n2669 4660\n2725 78087\n14169 50865\n1016 82884\n21045 73064\n3105 60456\n17880 36239\n8122 40465\n61402 94389\n2419 3901\n4019 12691\n74110 76083\n44192 89230\n32419 87657\n70459 87948\n5426 47911\n35487 53121\n50101 90844\n20628 36514\n32113 88847\n9313 80960\n61381 91780\n61755 86633\n75171 81994\n73949 86814\n7456 81837\n21658 39703\n6383 92935\n56265 96636\n10410 56549\n10322 12166\n823 12356\n23121 25404\n55221 95294\n43314 94655\n13974 48748\n49285 90663\n6804 68231\n7667 57025\n14016 31496\n3231 15389\n9274 78518\n55769 91140\n22909 53756\n2790 27669\n7501 34997\n4360 81208\n20111 88541\n79793 82570\n42352 83043\n7142 80954\n22693 58181\n10311 63095\n36849 78152\n63828 95539\n35984 88002\n38740 68062\n1294 51377\n50522 63109\n12732 35967\n10256 70089\n42447 83236\n17969 33509\n56013 62812\n45615 63915\n19646 99949\n9295 26845\n7936 93029\n22379 57506\n23695 31858\n41479 86246\n33555 37626\n78564 84516\n37821 61269\n8366 18269\n17838 19165\n17658 98205\n7580 31979\n74817 93207\n4776 44700\n12548 75121\n23962 60908\n9246 23420\n28715 48994\n12625 41527\n1803 41243\n72887 92319\n39640 61799\n23147 55355\n20694 50796\n6935 13176\n20155 32986\n22283 29780\n66918 92679\n22496 27809\n42982 79626\n33823 58449\n42265 78997\n70480 80548\n85285 97328\n72739 77368\n63960 85481\n24352 84959\n49982 62816\n12459 94863\n9800 23225\n9682 74265\n7458 57866\n28738 90016\n28639 61416\n28245 34658\n7725 31728\n47656 70773\n2740 4086\n60497 94696\n82377 83001\n3482 45115\n50083 74920\n74537 86351\n20909 90189\n25385 91284\n36782 99164\n25034 51470\n98527 99208\n42912 44592\n16105 32821\n3688 64805\n32985 60320\n30290 69874\n22245 79824\n37625 89590\n2681 38568\n37550 82358\n22844 39904\n2505 16112\n27750 75768\n50308 86287\n94296 98931\n76960 80414\n5905 19441\n21260 69436\n9037 63666\n2221 61698\n9534 56098\n18356 48824\n6997 90979\n26894 43947\n16415 87118\n17650 97296\n7018 62526\n19781 79712\n51494 65963\n17232 69503\n62061 93796\n42818 56913\n48977 86177\n38623 54485\n64958 83490\n5694 75403\n55250 70001\n9922 37511\n1681 42067\n36073 36477\n48280 76112\n56667 87900\n893 46200\n71519 83664\n85084 88460\n42851 87728\n13674 25745\n60943 83158\n43306 54608\n10150 14249\n43697 59067\n32707 78771\n48199 95222\n27771 44247\n2881 9620\n1876 41696\n2881 30313\n556 63071\n12903 33790\n17763 75287\n20844 95315\n49212 81343\n64782 77894\n76503 92273\n38337 81251\n23868 80450\n17570 59805\n47571 90384\n22127 61382\n49600 65525\n1452 43922\n47871 81970\n65195 99989\n40020 89599\n26712 67619\n30167 54722\n24991 67525\n7611 37084\n33320 91997\n6496 64576\n7357 10463\n34816 80668\n77 81274\n59352 88444\n35436 82019\n25161 48655\n52072 60477\n12045 98950\n5401 90244\n6007 61730\n8847 14735\n1498 53921\n37478 37547\n44347 67912\n63021 82080\n11785 31979\n4160 9386\n29825 65143\n27470 82875\n35476 95061\n5341 79271\n7971 22383\n5615 36808\n11359 82480\n68492 71307\n74820 79532\n9286 57918\n4195 18824\n12936 50673\n24601 25036\n27189 89323\n43204 81213\n6106 47054\n79498 97877\n19 23354\n81954 85685\n66105 88051\n8139 13924\n54048 92594\n24783 94321\n24465 68437\n34610 92486\n10041 46741\n20002 25495\n949 71781\n10835 19003\n10760 17146\n55689 82767\n19479 51904\n58696 78542\n2776 13248\n57581 95053\n90500 97352\n13129 65646\n7996 32189\n55931 91089\n42276 89848\n18825 70649\n1616 42069\n50737 89527\n32798 79879\n11398 60132\n49043 49772\n23774 72798\n41654 68437\n72588 78322\n55289 66755\n84904 93119\n54099 90710\n51870 61176\n18915 37086\n61841 96429\n36303 99536\n55301 93205\n15301 91407\n94056 95579\n68898 92565\n25473 50087\n49916 86621\n19758 35601\n4122 17761\n20837 44957\n55508 79240\n4455 81105\n23548 69689\n65947 97824\n6910 13224\n2070 60447\n6368 92117\n48412 81397\n68161 84953\n3692 73977\n10061 26241\n45303 73630\n4767 64124\n22881 47932\n47974 65990\n7319 73166\n78655 96168\n14201 76047\n6049 47484\n52889 92342\n3087 28076\n45621 72658\n88844 89469\n38206 53856\n71685 93193\n27869 44780\n43504 55565\n93262 99102\n45233 62397\n18313 99289\n4189 69770\n75246 89112\n22167 92627\n57837 84813\n3239 66375\n61406 71144\n36092 89644\n43353 72803\n72168 72862\n44656 89734\n8831 74589\n42837 96595\n78156 85516\n11314 94080\n13275 76729\n51481 72485\n8366 56449\n24912 59298\n49687 90743\n50489 66785\n9263 67920\n54138 55191\n36688 73511\n49887 52571\n24733 54928\n13035 73291\n61625 78053\n16902 17164\n42123 82603\n10967 14434\n24736 29186\n32113 47630\n46125 88755\n35703 56392\n23953 29092\n58763 86165\n6703 28041\n20052 52424\n6595 84684\n41314 78974\n69557 77685\n36061 61710\n54735 88186\n51158 72275\n8565 74378\n17985 57567\n16045 70733\n49837 83440\n12178 49978\n24612 80017\n7889 86325\n49161 73658\n51311 52746\n17445 75351\n12744 21386\n19524 87376\n5509 85976\n11951 47327\n6939 75973\n27653 83022\n12629 38735\n79542 97775\n1345 27149\n40131 51800\n34116 61832\n80651 97925\n77610 86137\n5489 62015\n15212 57743\n34845 64851\n22084 64668\n58192 78537\n7537 99490\n56665 92800\n45226 47322\n44416 98360\n56732 77234\n39060 45363\n32823 62053\n5191 88287\n8873 70394\n15621 45270\n874 17836\n42064 78394\n13111 65386\n8258 71287\n61163 75653\n112 96310\n47924 67100\n42132 64818\n47541 82164\n34481 64318\n705 54787\n44190 80524\n42315 65644\n36300 61639\n15620 23569\n46912 76207\n39854 44607\n11185 15097\n14827 15928\n80645 83182\n10712 98420\n15421 53226\n24421 35552\n29926 95794\n53496 93489\n6439 11985\n286 49957\n10767 91019\n31109 37341\n76436 95016\n20328 93967\n17180 68373\n11294 34098\n2390 66467\n94720 96149\n4049 39678\n7084 69601\n49039 71017\n68521 78782\n22348 93112\n29246 63257\n716 83784\n82552 88351\n52016 87722\n16460 19760\n63064 64817\n26897 56085\n30244 65011\n4263 73403\n6181 71819\n28357 69777\n6780 90346\n76491 88676\n62079 77983\n17797 56266\n32012 53795\n90502 92519\n45704 97148\n68558 81284\n35857 90075\n47502 55199\n42519 50161\n57818 60791\n8244 52288\n42788 69913\n3069 86433\n49597 54830\n17138 53345\n23698 86147\n18820 98352\n56492 99306\n55163 80535\n13728 94483\n39304 90353\n54498 94556\n37610 98899\n37768 55978\n53003 62157\n40799 59531\n16225 57598\n80584 81399\n32623 88296\n59688 78025\n36376 82999\n43803 54458\n54885 60934\n58201 62996\n42383 52297\n54027 92735\n33344 41860\n2471 16961\n62105 96672\n34295 65142\n18992 37845\n75126 75428\n58834 86340\n10045 92429\n19778 94075\n7906 95856\n28817 77435\n58957 79957\n31190 70176\n75506 77946\n52407 70414\n48979 87961\n54804 93349\n31829 94984\n13367 87177\n83764 84458\n46881 73814\n37354 67330\n78022 80748\n7134 86745\n19190 25626\n55822 66574\n3095 72201\n25088 30533\n20169 64692\n52432 57138\n49069 67565\n9597 47521\n7751 50106\n83229 97310\n43009 67997\n10794 87774\n28736 85844\n18795 25115\n15706 54798\n60591 96772\n70989 92072\n15487 31437\n26075 39885\n45094 94490\n53855 73348\n24409 64556\n15198 80569\n7049 75310\n26310 86889\n13093 13411\n70117 73893\n65061 83578\n74516 93692\n10313 31466\n2770 9575\n26443 30158\n3080 12113\n12038 56833\n54015 81667\n51918 90760\n62173 87672\n21360 96273\n47513 49253\n58931 84059\n35306 36141\n20207 55107\n11881 68482\n53629 53865\n30613 77856\n17608 90089\n2641 51138\n15729 59485\n71646 98025\n19199 78479\n46924 54190\n44958 88909\n8524 25050\n11204 75217\n48504 79086\n2617 44208\n17803 22272\n52073 89295\n4317 54741\n36229 50236\n47333 93594\n54761 88510\n52012 84731\n24576 47733\n36599 84290\n76914 78773\n52272 56759\n25913 48966\n32720 47435\n23509 44212\n33368 87486\n4249 13974\n68809 94308\n48230 95361\n65246 77256\n33546 35134\n9251 54831\n79869 92541\n50926 75727\n16336 82352\n10176 75046\n35787 91506\n73322 96064\n60582 99848\n53535 95064\n44972 54518\n91 15321\n18975 30482\n7373 35196\n14291 46404\n21562 32766\n6653 46862\n14994 89236\n86813 89079\n59097 90519\n55907 96580\n7974 91487\n42882 99710\n21159 84975\n20162 67964\n42012 50016\n27014 74234\n15090 84969\n39488 42289\n32857 82128\n48949 83507\n67712 68310\n48228 63582\n6555 85430\n40972 88806\n14166 78082\n26000 55671\n31212 91075\n30174 83530\n40774 59747\n49373 77211\n30554 82582\n9892 89034\n39129 81251\n33693 81106\n20779 98173\n77543 87752\n40416 62641\n18391 29114\n50903 57773\n43336 56024\n64510 77478\n1222 59153\n25665 99439\n25922 32693\n31850 76010\n58143 68907\n86093 91952\n85050 89293\n46899 98960\n46706 64852\n18676 52249\n86510 93913\n24011 29229\n77381 78857\n513 50715\n5584 38527\n64758 86207\n5965 21442\n77832 92506\n44561 93890\n37155 68378\n59381 98728\n5924 99205\n32015 43528\n23882 90680\n31830 77145\n79748 81122\n25959 80139\n32893 77006\n84228 92400\n25406 84681\n13185 31544\n17422 63912\n14077 25213\n19336 67457\n15240 74085\n14539 44435\n1931 56258\n17662 65708\n27198 85528\n1604 65265\n38175 99201\n53137 57228\n14496 96897\n96470 97841\n9987 91658\n15215 88066\n70422 75827\n424 85851\n59928 70744\n64272 70104\n56486 85096\n24623 83062\n70624 91294\n47771 98564\n84491 94431\n22353 25583\n4922 39120\n28417 97141\n2596 35117\n9316 76200\n17448 91957\n35131 48157\n56521 95753\n48334 68483\n31828 47107\n55040 83661\n36961 95199\n1982 65972\n16022 89822\n55757 73264\n62195 87433\n42601 60021\n19218 80684\n35768 82011\n13609 16860\n26255 35032\n24983 87539\n33375 67805\n3097 83337\n43074 91661\n64253 82145\n31824 73849\n51054 68628\n69748 79932\n4593 69816\n18964 73476\n39325 55066\n32792 46490\n13100 94888\n80348 84436\n35628 47299\n72002 73236\n48281 98699\n29485 46924\n26116 37704\n69129 81545\n26429 26783\n8183 56224\n27962 90946\n30276 37468\n24813 95021\n53838 69566\n4198 18547\n48075 76152\n26467 68832\n36450 82607\n47553 88890\n14673 21407\n42473 56800\n22610 50583\n62953 66795\n76258 79375\n1774 84652\n70118 91340\n69957 78569\n9407 79991\n32796 88065\n26314 94981\n19690 63187\n26464 71516\n6265 52613\n11320 83246\n8148 45768\n18111 79261\n11949 67974\n48069 59296\n1915 19858\n2617 90018\n57586 96557\n59717 76735\n12272 12980\n51755 95066\n7880 50856\n15220 41618\n23262 26761\n38917 96543\n1722 13352\n70216 73724\n24789 39870\n33067 55745\n87882 88529\n26378 72348\n25609 59113\n3479 6114\n8026 61632\n65505 97188\n13939 47017\n7304 35650\n65926 72637\n34740 38009\n3547 73658\n68803 68997\n28972 46404\n56575 98726\n15649 98886\n21754 33502\n47982 88676\n37305 67252\n17634 68689\n92245 97332\n3739 51747\n81556 93004\n15441 16400\n19521 70838\n43337 99510\n41652 53277\n12928 41403\n51317 51947\n1032 76607\n24410 98933\n56997 83101\n10738 47185\n62069 80542\n82641 94432\n19391 25670\n17126 52536\n29764 41066\n37607 84840\n53686 90888\n16063 55696\n80405 81758\n16357 97755\n48394 77809\n5031 60253\n32519 78496\n66900 70312\n12251 46619\n80832 92281\n48754 95715\n59714 77088\n27665 88442\n9757 77064\n6112 66522\n15801 18949\n8602 84296\n80780 82057\n1277 86451\n49216 88678\n17819 77022\n74532 86440\n6257 79218\n60147 99656\n32426 61631\n30424 74951\n8794 62916\n20781 92625\n27189 68327\n27114 62091\n10221 29605\n38517 85142\n39955 65164\n38618 56790\n7251 16425\n7048 15549\n29469 42005\n6343 18230\n5906 23203\n21252 34200\n46210 63618\n16890 34889\n37445 92584\n25863 64561\n75266 90286\n54750 75966\n11909 31010\n25110 56587\n11912 80397\n18172 97194\n84936 94160\n45080 61801\n37100 55998\n10667 91032\n15160 68282\n70652 83594\n38661 62481\n46493 51968\n40143 98063\n18481 53571\n32747 34081\n12742 43846\n59768 67657\n63254 99865\n26297 39221\n73770 96053\n51212 56596\n47902 89112\n51256 57706\n52359 87905\n7461 75492\n34626 85121\n43024 63863\n40197 68539\n77157 82560\n70468 70845\n48243 88937\n70213 85768\n46022 74715\n2404 54257\n64072 90494\n20969 37677\n14383 32228\n44862 73149\n20246 88646\n3888 45538\n37743 84544\n40976 82446\n9075 55577\n45957 89678\n31909 99542\n3681 84120\n56799 90885\n35066 38157\n19581 45160\n37397 87383\n6321 59024\n43519 72670\n20381 92981\n25031 37252\n53693 79056\n10070 19822\n26266 26556\n44103 70248\n19088 88915\n29631 94519\n6914 46025\n38018 59769\n37780 86799\n17419 97610\n1634 38859\n39576 73711\n4258 50703\n7860 83022\n25642 61082\n811 58162\n42962 48523\n36202 56315\n64232 89994\n47150 79321\n77 55599\n962 76037\n6854 46715\n88759 99850\n5191 71118\n22583 38383\n55133 71446\n35091 98858\n460 94581\n6125 91289\n58533 76141\n13637 98856\n23337 34923\n3584 60524\n2358 41336\n29765 62721\n40480 71348\n37091 65213\n16977 77883\n16431 32278\n39341 65991\n29068 53700\n8524 89082\n14268 73991\n6682 16864\n20528 25131\n35481 53517\n49255 76754\n26133 84223\n19509 25063\n15039 17013\n15743 19652\n13196 13581\n32766 91218\n12080 93770\n15468 54211\n5928 64146\n1275 25459\n2875 39580\n26818 29398\n53473 89393\n29960 47367\n1701 5499\n7218 22812\n92168 99946\n51697 75534\n15552 34839\n8067 85625\n19256 30229\n52037 71568\n1855 4954\n59436 69504\n14780 38085\n91252 95621\n49486 80211\n41147 86556\n43747 64298\n33401 76333\n28092 69782\n87466 91209\n62287 84004\n97143 98442\n29525 56585\n21909 63626\n653 51274\n34912 98370\n34689 56448\n20936 35281\n40312 52557\n34184 50922\n22409 35042\n58956 82173\n11700 74356\n78669 81957\n31365 31920\n65597 80420\n6159 60061\n3646 90980\n21359 39758\n22202 33051\n46637 92163\n66446 94093\n41276 93997\n63170 99387\n74125 76587\n15155 96659\n40498 61288\n47672 47839\n385 62087\n4965 17314\n47670 77335\n7277 58577\n31546 34602\n63016 85672\n32111 86529\n66281 79879\n398 49725\n43846 65713\n2427 94034\n22918 55441\n16694 37674\n30795 47626\n46313 68850\n38650 70435\n46889 96080\n16065 56253\n10624 70181\n7372 48333\n57537 85158\n23223 92053\n2190 37617\n7453 74677\n65331 72535\n9397 80124\n2967 75984\n14439 78055\n3514 74262\n47392 93804\n8287 69760\n3720 73442\n62496 83578\n22864 87684\n2491 82245\n24578 77842\n45967 80962\n55756 88323\n58137 84493\n17536 69801\n22097 55439\n63793 86363\n17499 69362\n71207 96260\n4774 55714\n31427 37621\n19647 54639\n75758 83196\n1858 9854\n15097 86404\n5207 32054\n53343 97298\n73322 73738\n61305 98555\n15723 39544\n15313 25781\n389 94717\n23350 24532\n33348 52486\n57652 91293\n53653 86675\n12002 64227\n36714 77834\n5762 53071\n2956 33682\n2561 49458\n26450 84471\n79914 82765\n63424 81634\n52493 91353\n14662 88613\n42090 75387\n38416 62957\n73733 93597\n14071 19148\n34079 95384\n14829 57544\n37151 52493\n17270 95289\n41078 85818\n42954 45781\n7065 14471\n45723 88840\n44417 79929\n45454 54442\n97143 97347\n43929 47591\n11929 19671\n20722 79713\n29857 95183\n39727 70686\n64525 74939\n19808 24280\n14182 46497\n51375 58878\n46821 81869\n48404 59143\n55741 97199\n10020 47314\n36710 78979\n48856 72187\n45273 46770\n34313 83832\n58788 58955\n3212 45891\n9607 80138\n32398 72484\n71145 81036\n244 5431\n13709 72392\n30471 48144\n41348 99365\n15265 41897\n49803 64767\n8309 15692\n5912 88969\n36734 82746\n31994 68508\n28095 99333\n24644 47729\n31978 58103\n2870 12537\n19264 45195\n21650 57750\n42134 48603\n62204 87392\n26874 55492\n8351 86947\n9496 79971\n22064 71060\n44590 71000\n7338 86324\n4179 46774\n14481 78607\n52927 67055\n17656 75513\n56870 79419\n31994 96571\n4537 96564\n27736 63872\n26286 49812\n15377 66376\n7311 14974\n34156 78405\n20229 37260\n32839 34764\n6727 10340\n38689 93502\n21860 62372\n28672 70589\n76311 85031\n8277 46162\n3750 31643\n45838 51558\n56997 94117\n32673 61666\n75016 87975\n15948 33975\n84497 99063\n50309 69412\n69247 73466\n15992 38180\n36397 53345\n13628 23901\n47797 87381\n28085 96795\n53429 60080\n5663 48120\n24737 66291\n65262 90149\n28404 81348\n7875 88406\n22384 99292\n67507 88100\n11174 33625\n45728 84485\n33499 56907\n16777 39742\n37976 60574\n29619 95040\n267 87924\n1865 44940\n25058 59154\n14730 60248\n58737 73163\n37570 70692\n85362 92613\n13509 83175\n28689 68221\n18965 88000\n68371 81312\n1282 46518\n66659 98380\n8215 98146\n27030 67093\n7768 13134\n82937 88252\n29820 70639\n24982 35464\n51301 77887\n6409 10932\n32277 45997\n13329 62533\n62032 70639\n41013 92501\n38078 43289\n26651 86661\n14944 66920\n63299 81368\n46121 92763\n37016 76294\n13681 55387\n56721 98537\n1430 29663\n45799 92427\n46858 70001\n50249 99450\n53977 59552\n38293 97549\n70090 87842\n9598 61450\n19768 34640\n39202 93892\n44245 94909\n6268 39168\n11061 23598\n55456 56695\n4095 98134\n9161 66200\n74479 93411\n41978 64392\n12796 64837\n62081 88159\n33136 48742\n23456 71983\n15347 75550\n1467 18264\n6509 23817\n26399 87509\n84561 88370\n74321 89347\n49455 58035\n55628 81272\n19906 74711\n24052 99985\n34767 70353\n15771 97862\n45321 87159\n37186 37403\n26794 45819\n72739 90821\n65130 76105\n30568 85164\n7888 63688\n4684 25045\n76858 86535\n48484 69637\n10617 75418\n20385 43426\n72703 96416\n54841 61813\n43566 66388\n35172 81063\n1020 46307\n60250 99681\n14705 96582\n11957 48611\n48545 61943\n5199 63368\n50278 57121\n64861 91209\n61443 96375\n11708 81708\n19841 58345\n17518 21214\n44582 49670\n3312 60770\n75573 78935\n58572 94347\n42955 92865\n22283 93424\n72102 96619\n26543 74258\n3625 89991\n17691 88868\n61452 73631\n59668 77903\n25683 94851\n29670 74572\n62323 73230\n17545 29392\n51954 79179\n49532 52395\n45379 50975\n85052 88190\n19033 33637\n42983 86969\n12251 40576\n38198 58905\n27567 84318\n47566 79646\n35114 38566\n46504 71572\n42967 73454\n21732 92030\n66801 83814\n24914 58400\n12159 17466\n135 81315\n66227 74618\n28055 78857\n24523 80239\n48522 53488\n96765 98336\n89605 89889\n54086 88364\n10370 54202\n38177 50605\n35104 94442\n41413 49343\n46677 68759\n9491 94387\n55562 60988\n16464 91084\n59912 94915\n3838 26276\n413 99058\n4648 48377\n14290 27685\n10122 11800\n9794 85071\n68355 75583\n11409 51250\n23935 47082\n63390 92960\n5958 68989\n29189 94324\n26266 79465\n12736 20735\n13567 66574\n66460 80266\n67745 74498\n12231 97141\n27615 99160\n20445 60750\n9639 21965\n69646 84626\n44958 57255\n16611 43174\n12520 85467\n22183 50034\n4163 43403\n9851 12083\n61212 94438\n52642 67676\n42257 44849\n47546 80127\n42866 87540\n68871 81551\n44294 62129\n3484 46727\n1149 79163\n25761 93609\n11337 21879\n6556 84728\n9202 71402\n18926 57871\n6413 66568\n54865 86090\n15747 68105\n48988 91792\n42288 73294\n34658 45978\n5214 33364\n38231 48851\n47949 78182\n12547 76478\n2532 70131\n37271 56735\n26720 95280\n86150 96435\n2732 80582\n21187 55695\n44620 93101\n57171 82781\n29746 49871\n31298 50163\n3979 7355\n349 29317\n15576 44918\n47771 99226\n26852 54796\n67486 70192\n11732 15144\n29776 59960\n61908 64458\n65506 90619\n29142 82021\n36237 96566\n24662 81541\n55266 69551\n86275 92709\n37075 48451\n2809 98250\n16859 89743\n19097 53940\n34209 88498\n13677 46854\n15819 92687\n33926 67480\n10556 69236\n61119 68893\n45178 52935\n69703 90494\n43481 44388\n44344 76511\n26428 66703\n17001 81932\n35245 47749\n42655 84403\n496 95379\n9619 89340\n63356 96268\n33893 51348\n25435 28787\n32607 75738\n34936 47360\n17601 57691\n9556 62892\n48862 65093\n77867 88516\n13485 92993\n9806 36336\n1764 63335\n42427 97807\n23169 38055\n50441 53613\n24796 78245\n77219 81937\n5797 16697\n9567 54502\n15523 92099\n37510 78285\n55350 90677\n6596 28996\n26845 84411\n69554 95558\n88674 98199\n18391 71003\n48169 80719\n16444 27833\n85120 95808\n37006 59359\n27054 89951\n5552 72443\n19905 23331\n36366 48538\n4300 90568\n52929 93956\n197 97531\n29406 62719\n41980 98261\n17357 71347\n14658 45625\n19477 79089\n36601 87797\n82490 98666\n10845 99820\n15670 81566\n18755 23750\n91472 98721\n60856 82289\n60608 74868\n10579 52038\n1695 11429\n59262 93513\n3081 94729\n58609 96620\n55038 60938\n35044 86093\n27970 74180\n40699 78590\n49399 52833\n10521 63207\n31054 80029\n8844 91350\n13368 28105\n30576 39524\n3464 68679\n37480 63576\n13515 70472\n37607 65751\n44901 59012\n42619 71007\n87291 90779\n55884 98882\n59482 74246\n37492 68105\n47319 77535\n1826 64352\n58507 79934\n5741 43080\n35609 61733\n27581 49099\n16197 19578\n69243 73543\n13392 21703\n19575 72449\n30574 86012\n27745 88915\n15794 82444\n63498 64603\n63867 75041\n15968 44807\n16418 25018\n13929 78562\n46131 98990\n30871 98120\n63499 66265\n72233 76146\n18678 33344\n1351 88636\n6640 11802\n6054 14664\n92049 97778\n49362 65893\n52214 90884\n12074 83324\n39561 52221\n17425 92308\n10936 35221\n73881 80859\n36205 69078\n21643 54272\n29218 33346\n64595 77890\n4597 5651\n44488 95796\n31655 84911\n78430 95860\n61273 84909\n23962 74351\n12697 83055\n13465 36256\n3295 3371\n92802 97262\n49642 52658\n40195 82465\n31892 61866\n8717 75492\n63373 65987\n70260 72412\n79213 80354\n37929 53721\n87855 88577\n75204 78827\n6584 8855\n4073 46238\n4737 47615\n7432 7571\n2159 63746\n7705 50074\n83268 97487\n37184 50231\n41196 88076\n53462 99160\n29658 56319\n80637 94294\n7061 86348\n27103 57654\n63220 75884\n72742 73374\n71566 72764\n1075 38540\n15842 31607\n7362 54304\n28501 49381\n42620 56776\n19166 51565\n28005 71805\n16806 60549\n1578 56171\n46013 95957\n32251 51787\n11639 71548\n28620 64751\n84974 92664\n81476 99575\n83201 85158\n48750 53290\n55144 76207\n21451 75709\n9009 82817\n79129 86519\n519 36936\n796 22819\n63379 70941\n21756 83280\n43672 62296\n74829 96984\n2351 44779\n41465 98025\n31675 85025\n20713 59692\n51432 76651\n74948 87512\n34176 79776\n4086 31897\n35379 63587\n65801 91282\n59293 81826\n23452 79345\n8777 62227\n25972 98900\n8393 86389\n13189 56522\n74996 79613\n34699 73557\n14907 30693\n16715 48099\n36890 86019\n35416 58562\n19556 85644\n64615 69372\n56127 85946\n372 89538\n62616 72624\n11104 33463\n23763 61148\n30787 66644\n52047 74549\n55696 75194\n9214 27383\n52974 78137\n3942 19750\n16126 75537\n25482 95831\n8471 15387\n11519 63946\n5170 95080\n48431 80497\n48539 58129\n17528 22548\n25078 85733\n63469 78422\n1234 96898\n66414 78596\n53960 60541\n8221 57748\n43334 99032\n12262 13400\n10426 82893\n20425 35785\n89882 97835\n1760 23867\n39087 59709\n63758 86790\n23280 24140\n54611 95691\n36821 97041\n27144 92682\n79274 95185\n81578 82576\n14125 28452\n6407 42556\n33054 81456\n23381 39197\n16831 53319\n2821 55554\n12393 52978\n25495 70077\n13443 52549\n31685 43338\n10350 58687\n9290 52029\n35833 39824\n15814 41479\n77514 95585\n38647 64792\n51271 61875\n16740 34928\n2176 24618\n20308 74401\n13806 36035\n7254 69784\n53878 81564\n57495 69126\n12935 21924\n7556 36528\n66343 89082\n35977 36864\n20460 62245\n1663 52259\n33037 95009\n48713 71352\n63078 69502\n25564 32506\n66795 96615\n45905 71219\n44996 82111\n30806 43526\n73 27836\n49593 79341\n4348 86929\n28676 83235\n10844 30775\n67631 73334\n7927 36984\n1919 17650\n5167 50597\n6282 71799\n5897 37339\n91469 97701\n63653 94913\n9995 33491\n74697 97663\n51782 58098\n1252 81700\n24861 39015\n21371 65651\n14244 66902\n76846 95479\n41665 52420\n68230 90299\n24073 44321\n6123 56066\n10949 89084\n13788 36417\n38493 76393\n18032 93575\n11910 69624\n10833 94426\n56663 76046\n83288 85395\n15166 35465\n4842 51847\n24592 43757\n21627 76457\n12919 87218\n18556 66977\n77780 93282\n28794 93458\n74244 90398\n9539 10839\n25613 53257\n8367 79576\n17217 63285\n46329 88910\n12 60753\n73452 82414\n77369 81087\n22730 90670\n2740 49955\n30170 43064\n19386 85660\n15698 76919\n41402 88415\n28546 94621\n18146 26797\n35617 82005\n48188 71905\n5413 50609\n48927 55269\n64874 94416\n32242 34422\n1343 38136\n48759 81385\n2882 74033\n51524 78193\n21894 45355\n75079 93069\n43072 86887\n3758 41236\n4061 19962\n17047 45254\n12620 63562\n38314 62232\n46749 64868\n75446 94261\n18835 31695\n83942 87903\n74929 88398\n13905 94729\n8234 94351\n26442 50181\n25837 54625\n16098 73637\n27541 80204\n42258 84351\n76242 98920\n78932 86935\n56273 93387\n37344 38475\n4394 17756\n47485 96636\n26760 46887\n3157 20809\n8676 34949\n56900 86698\n18800 28185\n37656 67090\n13559 50296\n28560 92803\n26622 73876\n55727 55953\n20995 29400\n58765 75062\n77713 85044\n10662 52212\n30128 48757\n36677 41724\n9375 26045\n39813 48427\n81386 89408\n94771 95737\n79662 83187\n2674 33418\n3997 75542\n8033 53497\n75527 79927\n83252 94058\n5115 22434\n24332 91585\n664 15592\n2991 87609\n71324 89976\n50233 92423\n538 64295\n93249 96226\n32782 80898\n64146 83551\n60616 76178\n20029 23034\n53386 61445\n8830 86874\n76524 87815\n30638 73830\n25303 75166\n3607 52452\n55549 89256\n35350 94164\n64292 70970\n43747 67432\n37540 45756\n85293 95660\n29556 43312\n7758 21056\n66127 74660\n8655 30314\n19750 97911\n20466 86270\n9220 32731\n3480 72677\n14261 26974\n37152 87408\n71181 87743\n55834 59877\n12613 32240\n28 76962\n2819 61418\n57655 73650\n5151 13644\n53664 70420\n49369 75354\n2923 12436\n10419 34198\n64241 92766\n8664 27364\n18312 24750\n34385 47167\n15079 81344\n60615 79653\n33132 92124\n29631 34742\n1799 13426\n1719 51930\n10818 32934\n67851 85471\n27063 33944\n25825 43988\n15450 30835\n15626 35401\n1587 43156\n63488 95366\n21039 93062\n32629 78958\n8862 19276\n21334 95197\n15175 17492\n44715 50697\n13613 51924\n10212 38159\n47819 55042\n15007 96857\n17003 76317\n82045 99078\n24569 56320\n3158 14997\n7172 60983\n8737 74096\n8095 51522\n62156 75866\n39400 70672\n34601 42691\n50188 69531\n32972 50645\n30104 77625\n64525 65900\n40067 66185\n46901 82914\n45390 88526\n9345 55758\n36601 91365\n74454 88070\n37636 40039\n18079 79428\n35833 80837\n20394 86034\n26398 95905\n51205 93171\n63895 87042\n27751 84437\n3991 19707\n42323 51675\n27810 42877\n38088 58481\n33829 98068\n26419 60291\n56569 91357\n22630 41215\n82337 97494\n8385 46005\n1638 25204\n58875 80570\n54430 88418\n2218 21150\n61404 94833\n45711 74111\n3242 15142\n4304 51876\n83080 84494\n27790 62858\n77401 81215\n15197 47752\n89580 93414\n6626 18181\n3246 58119\n54279 94182\n39461 73895\n12266 69873\n33872 63362\n63868 70794\n19523 45019\n62216 95097\n18681 90629\n41929 96357\n1622 24069\n50959 97456\n21841 89522\n52965 99590\n18298 39346\n40885 61652\n54464 65821\n54314 79432\n27423 78558\n48531 90652\n5823 41791\n94859 97634\n6316 43235\n1988 95089\n22316 38996\n52941 72463\n64236 79798\n39080 64539\n28932 72066\n42470 74369\n18232 27451\n42755 61248\n47026 59469\n3187 11031\n23317 74472\n33610 90993\n45438 58298\n35977 37129\n28160 96171\n4974 64700\n64726 76355\n56012 59868\n16520 73785\n65140 99183\n38545 73193\n38665 58032\n18236 27133\n31599 65121\n43461 69842\n30401 72850\n40274 49287\n17064 88222\n27464 35577\n41377 78049\n1379 57794\n32775 80294\n1504 32375\n31994 48457\n40266 76011\n11558 97324\n44069 59039\n47538 67493\n54410 96264\n9138 18985\n285 61314\n4737 96901\n33278 45402\n42992 99135\n29841 56266\n11668 33814\n23677 43799\n40235 44065\n62191 98052\n53324 69776\n12526 25555\n36009 92057\n17241 77659\n36501 47794\n11809 19569\n23991 92205\n537 9109\n3829 51196\n68667 76381\n10067 47290\n22328 95881\n43911 94610\n27356 36071\n36196 84762\n21069 94898\n38543 64461\n16827 43150\n30835 96592\n24843 90869\n45558 65743\n14207 79039\n50075 84259\n7600 88313\n3681 92033\n72664 94546\n86938 92108\n3096 86700\n26708 98260\n10425 10488\n80 45406\n53887 55557\n23178 97443\n96800 99833\n20644 48484\n92619 94698\n54592 66435\n5104 72779\n11308 20777\n11093 66181\n16525 23854\n4935 70210\n54971 99586\n79406 98690\n46929 92847\n67928 87625\n360 33842\n11766 96698\n34365 51161\n29372 53534\n2920 46879\n34123 88128\n63308 92233\n53207 75125\n24646 62457\n24229 86090\n31411 67451\n13819 32249\n32886 34336\n45580 82606\n31698 97479\n27308 55492\n77826 89550\n75967 96023\n15430 69873\n44545 71796\n5016 17884\n85882 97559\n82137 93548\n60089 85063\n54447 83734\n49006 71208\n48520 57098\n40735 92719\n27498 90989\n10804 29900\n3376 41588\n27755 34500\n15141 75467\n42619 50922\n46051 47353\n23273 51004\n74361 74604\n58075 60616\n57421 98041\n54580 84780\n51264 56763\n13842 32554\n2760 29525\n50408 67736\n82070 98614\n3126 84835\n15909 89893\n32047 56981\n51223 98988\n47800 52834\n22585 96402\n6043 76821\n44982 56509\n18515 92708\n11096 32876\n3440 96749\n23587 83618\n13253 36164\n58588 69077\n73561 84740\n46848 49516\n12587 41433\n20163 91558\n394 40840\n76492 85827\n3283 32695\n15594 86918\n40878 55764\n5398 5902\n38179 55536\n13677 76160\n43448 43788\n63198 83894\n20073 51727\n27395 88575\n65703 86735\n4906 67319\n36125 78922\n38838 64003\n22556 25358\n14322 64580\n6901 99730\n50576 71984\n66187 76084\n53446 96228\n29920 70189\n57934 80541\n60586 78096\n35577 77147\n37832 70992\n19493 37981\n47453 79955\n2235 35073\n30947 85753\n27133 90851\n75096 75975\n35222 91898\n9455 37201\n35625 48248\n57188 90713\n67492 69280\n68194 90056\n960 47986\n4560 69885\n11035 71269\n14824 16397\n33940 85307\n39995 87157\n23651 51579\n4930 89780\n37494 47057\n38232 91851\n39479 92527\n4959 87955\n22998 63281\n1394 88410\n52200 83769\n9788 80685\n3709 7712\n49735 64282\n3875 27637\n56300 89793\n53478 67061\n65330 66811\n90733 98060\n44345 84169\n4304 80143\n11537 97636\n14952 25134\n62280 64664\n28960 70816\n9477 11266\n62185 67653\n37212 43759\n1921 79682\n21037 45376\n14269 73231\n82962 98432\n7577 11567\n11908 64819\n46631 85478\n33092 56911\n42247 50259\n63748 75120\n53246 76319\n10621 48896\n7331 8989\n2013 44510\n747 15052\n80839 98728\n48695 58494\n73511 90615\n63390 76829\n58831 80978\n4336 81663\n39674 64823\n4099 39827\n13896 93409\n35993 89552\n37270 95603\n10298 73942\n257 31879\n33152 47825\n56779 76402\n20474 61520\n85467 94776\n30201 48666\n54140 69966\n50418 69609\n27794 31870\n53157 94676\n10494 23538\n71025 81815\n11862 25280\n58061 74111\n2358 59556\n8093 87092\n55105 67745\n43663 56410\n56295 65108\n60392 83996\n343 18837\n6518 31600\n16135 91092\n31722 49451\n49425 56974\n61445 96196\n20992 69330\n11399 39627\n2060 92772\n17137 80538\n81831 94135\n38902 71905\n17423 19689\n56974 81273\n30868 96410\n54496 56175\n7619 95166\n24567 91167\n12065 38154\n21025 96353\n29854 43315\n51495 69333\n71550 76762\n37156 91617\n1073 36054\n33601 80860\n9494 53194\n67459 81970\n22495 66609\n21176 53169\n1601 89454\n17516 52582\n10100 32333\n41731 68844\n28587 54753\n14197 90059\n31349 60950\n31869 77008\n64793 81346\n4613 94335\n33687 51137\n73495 97394\n28117 67677\n37494 78449\n2628 52588\n29137 69765\n43664 49053\n52728 75568\n45003 61799\n18907 31255\n56203 89635\n49235 75184\n46879 57574\n53029 58100\n21040 73999\n13836 38325\n23093 59652\n5603 9301\n77775 90711\n388 91836\n13494 30302\n10028 66652\n15339 87069\n26835 29184\n41466 61321\n15016 89523\n9416 19002\n6297 84159\n49806 99695\n1420 90456\n37306 50920\n12346 39702\n33731 62088\n30197 51366\n7747 44957\n4881 62775\n37491 94879\n1580 99407\n22768 40617\n55506 75606\n5242 8781\n46892 98396\n10326 41985\n31175 60747\n3984 34630\n4682 25190\n1157 67834\n37507 73551\n52047 62019\n31135 93191\n52851 61151\n60093 67544\n3403 59841\n23096 36375\n33717 47183\n16480 91887\n18386 19200\n72762 92123\n34286 55200\n38428 58430\n24477 27320\n49960 78465\n30690 47067\n12774 73602\n56327 68008\n63122 93285\n60163 82270\n34715 61339\n89009 89275\n18950 20131\n6420 79401\n10466 52811\n2841 47453\n45467 62716\n476 43789\n25333 94581\n36494 98084\n36842 51970\n12321 58886\n19751 57507\n6232 89734\n8877 35177\n8361 10815\n466 73766\n35860 97132\n62138 87542\n26882 90985\n8643 43734\n59865 74964\n4712 73245\n40953 95005\n28974 89613\n8067 22749\n42954 87923\n2131 34907\n26054 71261\n58258 87655\n4522 19981\n41759 72645\n46716 67804\n56332 86771\n73599 77550\n29522 96829\n43623 58445\n27845 49314\n51537 96970\n12958 30123\n2682 58619\n64938 85615\n1066 27674\n10585 25184\n7355 93858\n12931 67914\n12091 75066\n16358 94285\n20732 53818\n10037 98923\n18337 27766\n19996 99912\n15521 28544\n9799 36229\n11037 86146\n12405 42773\n14938 97531\n14354 19827\n44091 85853\n3884 87552\n3675 52132\n45090 87229\n6690 18249\n21255 49464\n18860 77442\n13104 61436\n12268 69831\n23283 45108\n49455 94198\n15047 99929\n2840 54627\n28606 83438\n89368 99014\n50320 64472\n24896 40243\n43197 48905\n41115 53048\n67680 81913\n52555 94322\n53720 94490\n29949 66201\n52871 64581\n10253 57605\n11508 45900\n52817 59215\n62778 99418\n14319 87405\n13810 45367\n7025 99288\n7906 54224\n26858 31328\n96264 99569\n47946 60681\n5646 24320\n5852 31403\n9895 86988\n12566 74518\n38147 42639\n87323 94520\n63654 76747\n20388 99316\n29157 31251\n49676 67984\n10819 29410\n46768 73510\n58257 61916\n67381 95359\n35335 60014\n68014 89898\n7865 30763\n18908 31359\n55708 59144\n57485 78267\n12762 36942\n19888 63080\n53083 81091\n33718 89227\n28072 45685\n8982 70148\n24404 32728\n47686 50822\n51308 59963\n4287 58359\n37321 61461\n51262 91518\n71525 93073\n23505 46254\n86654 95288\n4385 74421\n10874 23801\n20484 35451\n7864 46488\n14115 93851\n28029 93804\n32524 50417\n45007 70808\n32322 79908\n46629 75473\n82455 83763\n24830 76970\n2116 7369\n39971 70750\n13296 27133\n54864 63246\n1426 8971\n17258 58962\n75460 90640\n2199 42235\n26383 77975\n10513 57215\n16539 65746\n1245 15245\n6146 8073\n25354 74932\n43698 94329\n38102 67464\n12307 82447\n10464 63639\n5673 15515\n12389 95103\n30673 36317\n581 79519\n59399 78623\n20817 43398\n53915 58138\n38159 42150\n17983 79343\n2956 24214\n64901 90138\n32258 86570\n6344 78319\n2936 35293\n46892 67394\n14002 51425\n62889 84219\n11151 11912\n14730 70494\n43653 58270\n27864 68832\n33910 61196\n4116 5595\n22933 66710\n44904 80008\n70494 84094\n31592 61929\n66724 74716\n47529 92106\n68386 78400\n10311 74045\n62745 91765\n80135 94143\n70319 73027\n24268 97232\n34702 67144\n71694 78837\n5081 42687\n37507 62166\n13581 59518\n57621 98860\n61006 90252\n45161 61818\n29380 88972\n884 93657\n60398 80422\n2615 88852\n17553 38360\n20917 32999\n29740 77617\n52420 69468\n49061 74932\n78540 94334\n3800 49686\n1158 59668\n32709 96155\n41755 91178\n2109 67611\n8229 27248\n28872 65320\n10066 47047\n6394 18891\n55447 60665\n32716 64631\n80203 93095\n63286 64565\n10845 20040\n28283 46677\n12678 15644\n42209 63779\n20590 42238\n76335 82776\n35715 37937\n13571 18784\n5068 36990\n49601 94948\n49417 61643\n31600 46073\n72572 88505\n19171 74785\n31077 95787\n63024 98821\n5754 50474\n25116 26969\n28463 38160\n4649 38686\n32126 93333\n19649 30718\n33286 98862\n7513 8186\n1291 12957\n84698 93702\n56879 81034\n5858 94648\n2937 8739\n48822 81317\n60398 91376\n55275 73866\n18756 49415\n21365 50889\n8975 34743\n39043 56273\n7260 9313\n15715 52776\n56412 94364\n3964 72497\n14973 76921\n5968 35894\n1572 41816\n44826 76137\n37279 79555\n65213 66823\n69584 72470\n4742 32391\n80548 92661\n63808 75784\n36808 37276\n32006 39153\n14596 14870\n28279 80622\n5289 87808\n4204 26437\n38588 60439\n60133 93497\n7287 84444\n71530 71670\n32065 43001\n44386 86693\n10096 83916\n32618 74718\n71545 92083\n36263 92781\n39487 80577\n71725 99822\n3807 65912\n59039 72249\n8003 41904\n1913 27404\n72252 78685\n36141 50432\n21308 63825\n16891 38005\n2109 45067\n60786 91528\n9596 92243\n32257 40000\n8282 72699\n53056 77735\n44730 80241\n40269 99997\n57323 75246\n36212 75069\n64094 75498\n17873 92017\n60915 88407\n33257 98755\n4521 83590\n7583 32134\n41026 67501\n78243 85523\n55595 93991\n56540 90104\n35723 56254\n67876 81830\n14098 45966\n33442 51342\n26188 74169\n31127 75846\n7116 49741\n72493 90145\n21829 79811\n4698 95150\n5844 72162\n25382 94554\n45808 99003\n17118 70383\n8297 43790\n7667 47921\n60336 89316\n65451 72785\n49786 79874\n14706 97414\n79867 86394\n73904 88379\n27632 75338\n78762 90186\n87122 93914\n26822 98415\n2632 40121\n40566 45152\n81287 96746\n83404 91578\n16765 17190\n38345 55946\n3019 93729\n22301 44595\n52930 61000\n10935 35492\n23747 87500\n38250 58977\n17253 71240\n39070 84441\n7229 95141\n38778 66299\n51513 94546\n1125 78823\n5571 80723\n36603 99339\n16562 98437\n24719 81910\n73735 74676\n67120 85907\n39826 91088\n1279 4741\n84046 93018\n34953 40915\n19321 66635\n54747 62886\n26638 51330\n4987 56701\n5508 29533\n30293 69825\n32336 67168\n6578 44659\n11252 30808\n1832 63723\n2040 28645\n43597 85292\n38119 59013\n53527 95220\n78803 94959\n12124 15005\n52162 84233\n36542 75672\n35279 37887\n11205 60032\n39621 95126\n65685 71254\n7441 13744\n20326 97548\n37715 93633\n36080 98332\n8092 77151\n58287 71858\n33437 47125\n23614 83351\n23825 85749\n45153 97835\n10676 32141\n10340 62117\n53110 68093\n40435 45504\n1974 76405\n42224 46099\n10221 32683\n1208 75112\n64260 70678\n34708 82689\n72016 72289\n48912 74213\n24799 55779\n73436 99506\n29470 51941\n21617 80222\n26154 32233\n40035 88188\n26815 66091\n86388 96855\n46375 54314\n21432 22642\n43328 70757\n9025 14884\n9212 87446\n15122 73252\n3409 13548\n1532 54607\n50462 58950\n32580 54409\n75042 78200\n25621 76550\n51038 64390\n13933 47697\n31719 79788\n30294 70365\n6449 79015\n944 53955\n2121 73564\n23138 94140\n30414 64189\n66642 87395\n79594 87224\n76041 93430\n30493 81267\n17590 29140\n33482 58274\n29427 88172\n19482 22670\n35332 48179\n6228 57650\n44420 88069\n18947 50356\n21708 93134\n20387 41019\n14371 35037\n37 13891\n4280 85962\n15140 99417\n81682 98754\n67946 69096\n62504 78247\n73360 95435\n84870 88513\n49030 56568\n2920 84939\n14486 68689\n45775 58604\n21479 45173\n1978 8764\n53478 94463\n64404 76191\n47349 72547\n9282 96307\n9587 80271\n55957 75269\n12277 24869\n12544 65918\n9900 55678\n28419 90383\n54386 93272\n19555 81392\n37658 79917\n44410 95434\n62320 94696\n55696 58291\n80715 91321\n17183 74763\n20968 27351\n64068 96207\n9459 96321\n17819 64108\n37546 69207\n55697 97317\n18432 48302\n9836 68833\n38631 52988\n53726 84980\n929 22280\n33645 44494\n29412 46582\n15247 63927\n64904 81581\n19043 44974\n15685 38293\n86535 95562\n12137 59332\n25019 46737\n12111 57350\n22711 29209\n22010 68869\n31822 64927\n650 22272\n11176 72441\n16715 37827\n38745 51140\n50104 52617\n9835 72604\n65801 99847\n39806 69474\n24224 38138\n23539 69769\n6532 21234\n3862 37608\n50107 88117\n50880 80151\n11436 88213\n19400 70924\n67909 69416\n68763 96664\n20781 59430\n47361 48327\n39821 74978\n28820 68520\n34432 37314\n46170 60796\n13735 71434\n27510 97466\n26224 88320\n17059 51994\n18486 31114\n47208 82581\n63839 93471\n73759 93993\n12913 65103\n21474 70696\n28270 43919\n44265 77579\n10990 26084\n46684 90868\n93520 95616\n36831 64272\n5714 76956\n81313 86175\n16791 59050\n22208 95948\n37759 60886\n2265 8704\n78012 88912\n42602 77634\n2954 43197\n64775 91946\n34351 48595\n39010 48599\n7031 11268\n35946 76500\n16770 69718\n18082 19237\n56978 82915\n18473 76245\n80658 84071\n67418 93270\n52188 84734\n65390 68073\n60787 63287\n38770 55525\n29776 64734\n10976 41240\n46500 83283\n78944 85853\n2738 59851\n21950 22633\n24452 26521\n26944 41240\n8338 67835\n18239 41802\n48574 80999\n5978 7049\n36414 39956\n16667 39706\n45755 93693\n64064 93302\n8912 38536\n9537 65391\n78074 82185\n50870 71582\n28987 70321\n7194 41198\n15498 88240\n33274 40656\n1480 45289\n31351 84232\n60651 64197\n28359 76633\n14194 51881\n13572 64263\n3985 58090\n15054 68682\n34452 69148\n33362 60269\n32441 66947\n7331 14137\n21233 92378\n48021 82689\n41179 46403\n18749 64740\n37296 81468\n16798 61198\n8445 78032\n37775 41789\n31267 96323\n23972 65531\n31785 32837\n81736 85224\n35715 95845\n31853 75722\n33040 99803\n29932 76587\n45043 53981\n1888 37682\n7773 82841\n2325 98379\n4734 13655\n50062 68422\n40277 97231\n30150 51597\n45011 70932\n62080 81859\n68235 89399\n71522 85504\n26281 41113\n48194 50861\n72090 72963\n38931 81585\n7549 26531\n21832 81509\n6080 62411\n48800 77538\n46636 69652\n9263 87390\n48445 54025\n9995 32304\n13772 70029\n8541 74378\n20691 81858\n2782 66515\n7399 7428\n51505 85341\n17227 37797\n79940 99664\n79954 85410\n8362 13301\n14553 23837\n27333 35144\n2729 22342\n9009 64574\n13579 77126\n8666 30853\n50843 93074\n12304 77998\n41240 68470\n74750 93555\n29363 84078\n9253 43585\n86407 94683\n49165 79409\n66480 81831\n61528 98520\n2077 4424\n3681 15326\n65459 82528\n39867 66746\n43336 78594\n7834 93145\n12108 88330\n1250 22168\n776 23767\n45896 54213\n54411 55784\n1760 48069\n70502 74503\n16148 41720\n54725 65987\n6973 61853\n17578 30528\n30241 90396\n30800 72299\n28284 59501\n128 86549\n29480 53912\n19280 25985\n63674 83927\n50056 88280\n6038 23844\n87267 92379\n30235 46960\n55449 77876\n1926 25542\n16905 33113\n25788 57145\n25439 78999\n8124 67875\n60554 69997\n31763 78850\n20815 22186\n14216 37305\n39701 52168\n15436 38344\n1015 4962\n31928 81880\n11539 20967\n20725 31872\n20883 85527\n60085 84849\n18450 99449\n6404 89838\n39322 72541\n30225 40934\n12320 92772\n45990 63742\n46963 88306\n44249 92927\n10880 78627\n17450 60576\n26342 28725\n58062 83755\n77314 78377\n57395 95540\n14966 87350\n38515 79075\n59774 72866\n11128 97764\n15419 51517\n29229 77069\n3029 49700\n41276 57434\n51001 51712\n94109 95121\n42223 60434\n67464 74724\n2760 27102\n8128 74495\n12605 18333\n30990 84654\n32475 66137\n49270 92016\n10569 73077\n8182 67644\n47063 69799\n46545 53288\n47444 96937\n27888 95859\n34672 84221\n1358 14086\n29474 34495\n9500 26432\n63747 71703\n5233 67827\n32371 41593\n6097 41193\n10176 17005\n51968 84302\n58935 80718\n41067 73555\n22107 34236\n39496 79792\n26376 39069\n20122 68644\n16242 88255\n43003 81710\n1633 19510\n16958 35335\n47379 64264\n18896 93437\n4500 6646\n27381 82514\n17689 83506\n36503 85368\n71805 73644\n90812 94575\n30978 48034\n62256 91679\n83279 84373\n16343 34178\n69064 78478\n57236 76538\n11959 62870\n32624 48107\n17560 30988\n81409 98432\n1643 69741\n22645 63469\n29064 68885\n40198 81132\n3752 22892\n84605 99576\n72024 99857\n11719 45380\n68267 85702\n6698 30449\n37359 46777\n55539 60849\n75229 81011\n48713 63145\n13067 94952\n18230 46966\n71950 90349\n21891 51970\n27991 60456\n70646 74578\n10119 39706\n66878 90489\n28508 46371\n65658 74325\n7067 80358\n4000 79598\n24059 33620\n36780 44037\n58043 64539\n26511 27680\n29569 92896\n42494 47376\n7879 58503\n4353 46609\n29728 58885\n18739 58651\n32263 43257\n70618 74104\n13929 93773\n40443 96269\n65877 96508\n6782 74952\n76116 97807\n20055 44944\n31383 35744\n19134 29065\n3520 60095\n10835 80930\n22340 82955\n11969 63304\n27882 32875\n29037 53015\n29611 57989\n105 86942\n94190 98362\n54294 60091\n15888 67909\n40618 73828\n2151 7570\n13650 13961\n10544 58409\n10976 91620\n32964 34795\n20353 47130\n89678 92956\n37210 90666\n56674 66381\n52088 89797\n4051 45669\n18200 46234\n2199 75088\n62088 73847\n45111 50937\n57830 68369\n47172 64567\n6695 16894\n9962 10904\n1875 64493\n12207 32813\n30375 92742\n20075 86359\n16483 68439\n16816 70106\n82979 91934\n31032 35989\n12143 84220\n53096 61400\n42731 97206\n15111 88895\n70973 78848\n21399 39079\n36277 86833\n19323 44389\n3141 81462\n21874 78367\n60876 90187\n58323 87504\n27306 37022\n44602 81873\n99059 99118\n9325 65683\n2990 34671\n47513 49400\n30832 46368\n47563 73767\n8396 33040\n17823 77684\n86280 96836\n44124 62611\n37983 88451\n48924 75843\n55073 90630\n9933 78464\n27781 53896\n40356 85738\n28715 45808\n6408 66784\n92654 94200\n9926 97984\n78539 83873\n10232 95816\n35467 87627\n605 98736\n35315 50218\n5517 82556\n93733 97998\n11937 31849\n5709 97054\n6777 88440\n4499 82697\n11602 32250\n67187 69325\n53013 90895\n13404 22919\n1732 93556\n61269 98476\n68072 89230\n92616 99013\n27515 79022\n44091 83565\n60349 74695\n58019 74329\n4765 80469\n32776 86797\n5552 55400\n1121 52065\n11304 66918\n6374 30463\n2025 76264\n12020 87836\n96456 98739\n26483 44860\n9887 24624\n58409 58433\n37889 83959\n14892 78017\n2507 22061\n27830 58754\n11095 68333\n11133 73889\n564 56809\n20640 36408\n10491 55153\n10152 68811\n52341 71195\n26218 78431\n14020 47600\n9916 89305\n6345 38043\n12261 72992\n18999 97716\n7224 27477\n4022 27486\n43878 78879\n29671 95450\n25675 47462\n3730 38860\n44238 61573\n35553 51937\n11499 57589\n30144 51196\n47079 80583\n67212 82238\n55504 90301\n54529 81974\n27226 86196\n47359 58280\n743 11581\n60207 80133\n80109 97653\n13666 16596\n4237 11736\n9300 77197\n268 65374\n8312 69910\n6914 70189\n48302 59065\n59599 60812\n5573 59445\n13058 50097\n28030 85272\n46627 59041\n1851 99932\n71929 86804\n20797 97474\n8335 93399\n51489 66894\n16621 20624\n2235 59745\n23663 81437\n12680 35015\n54626 74659\n82824 88937\n41297 63232\n53801 79979\n6728 27701\n17114 17573\n37193 50290\n8085 38618\n4191 17449\n9002 53291\n15548 91547\n40826 44071\n2997 83744\n81523 98363\n61416 67827\n1720 23995\n63511 95525\n52428 86078\n267 56936\n8913 54093\n14451 43089\n4616 62088\n17062 62274\n17178 27273\n31951 63350\n30568 76769\n29371 42700\n47973 97105\n22761 95543\n46012 59816\n54390 97560\n31405 42723\n123 39785\n18521 80376\n75848 94691\n38923 76341\n29126 71922\n330 62630\n36719 98318\n7675 78141\n58935 97568\n922 15782\n31134 96697\n7919 95040\n11937 27127\n56412 98782\n25796 31459\n57169 65088\n24392 41895\n31777 61848\n58887 66951\n12118 78200\n27596 85843\n37456 67781\n22245 22388\n44532 57531\n43723 82837\n41140 64989\n50660 56139\n29105 81363\n7692 96865\n26566 66235\n38351 55478\n59628 65435\n14420 56840\n21042 64991\n4902 69252\n20267 60358\n60958 89965\n45634 60119\n30779 31087\n12130 22686\n22400 60492\n55307 60517\n71414 84233\n73202 87554\n182 98581\n40795 68269\n72032 91804\n6605 13600\n42719 60712\n22700 47371\n70264 78627\n2334 26048\n41488 68290\n473 35873\n6716 63755\n78130 86728\n34529 93771\n22357 67688\n49844 53099\n44868 45503\n53850 60907\n3998 51408\n56010 59580\n66566 79235\n62861 75496\n11195 48765\n23588 86185\n49964 93582\n37288 71625\n35358 55567\n312 29040\n62642 64279\n34369 95661\n16435 84338\n19659 86771\n8207 14104\n10201 68220\n4360 58531\n23962 99155\n61640 96239\n80223 88903\n715 3472\n17317 82686\n36400 38109\n6582 58710\n78752 82887\n29487 34507\n24835 78208\n3320 94805\n17376 20140\n65162 95597\n90151 91738\n55115 91352\n8152 78332\n16897 35042\n57451 93124\n16227 68820\n35818 97725\n92447 94778\n6856 66404\n25324 34400\n44753 52477\n42543 73743\n84576 87554\n39029 87385\n62301 87249\n6636 24101\n7137 54773\n58648 79694\n25958 50155\n80104 81129\n72822 96998\n21062 21257\n29242 85683\n16748 43832\n45281 91343\n27689 94393\n68913 85451\n9563 56716\n2094 6389\n52711 78005\n33448 77758\n19912 56027\n36287 65836\n6083 30696\n61452 82587\n4101 76865\n61325 81530\n83965 93446\n55103 85965\n5454 74739\n3629 59762\n7012 8301\n70651 73024\n5954 36597\n11779 58796\n41143 53314\n5966 84985\n13937 33707\n46550 90087\n28268 47931\n6420 9106\n41944 74820\n3240 62627\n58765 81032\n48825 62778\n50780 96459\n49643 53587\n31790 94547\n25421 97185\n26685 64968\n4268 68260\n11001 21801\n28508 32733\n1084 79728\n25094 66255\n57563 89459\n90206 97425\n30299 69508\n55698 99001\n3692 82983\n22792 76254\n38757 55045\n12319 27993\n15172 29532\n13840 67431\n31941 81844\n37926 99968\n38370 64779\n29475 79666\n62914 73030\n54768 76984\n43686 87881\n60063 60273\n40151 55407\n29918 64231\n13680 41399\n10781 59555\n6897 16529\n32748 92803\n41585 45376\n62497 83087\n16448 85321\n21483 64430\n71643 85175\n49231 89069\n31001 72729\n13509 59968\n16022 84468\n3899 68764\n69649 70172\n21242 41680\n46550 73873\n68743 76990\n86879 93455\n52172 98786\n10431 41795\n27307 72192\n10139 32356\n32888 46053\n31811 35574\n53536 66410\n21600 29391\n1973 78285\n43823 54228\n56528 66965\n13051 17964\n32407 98792\n84804 90558\n34928 98572\n36326 42336\n9068 69807\n23240 95218\n48705 88301\n44796 47240\n5252 43974\n45629 92034\n67027 78161\n39129 91538\n82367 97679\n25696 54152\n8724 19980\n18076 44607\n49370 60756\n14109 75781\n82409 83985\n2395 95237\n15573 35220\n30451 55533\n31747 66152\n42167 53288\n24055 46746\n31674 56061\n12023 38334\n5517 84083\n15185 47138\n44396 94867\n28935 55195\n25434 77093\n8893 75905\n31893 64880\n33626 72349\n5389 99026\n10626 24635\n16307 55511\n32687 38195\n5142 81691\n27095 71225\n90109 96703\n8957 96309\n51610 62095\n38056 51209\n2360 15567\n35641 51125\n9486 49929\n644 80557\n7321 70408\n85295 91666\n48895 61846\n21008 38778\n10470 14556\n58772 65762\n6505 23212\n74333 74980\n13160 47637\n12546 63913\n82740 96363\n3245 48510\n49715 59700\n32108 69476\n72363 75516\n8742 64567\n30824 70984\n22912 26419\n25218 85477\n29395 68787\n19724 88022\n6014 12371\n23367 88369\n413 46641\n6481 76410\n23547 63800\n29246 43960\n79038 93477\n12796 33967\n1252 55139\n53963 73986\n21727 92177\n29874 72836\n27656 80562\n50408 87934\n83187 90113\n37360 75129\n15416 56377\n23421 37004\n57907 66223\n4717 35658\n40712 63239\n49320 73237\n33166 44321\n22327 27274\n70893 80222\n44496 70865\n11977 37511\n5546 55952\n40759 91837\n16947 24226\n36315 60733\n76995 87723\n33265 83696\n26950 86368\n25650 41079\n14677 93267\n9685 26660\n84559 98009\n59721 72792\n17182 48373\n1030 21368\n8349 59325\n34251 60717\n18858 52916\n46095 65148\n21679 74761\n31467 37450\n17207 52173\n77587 89805\n9855 51209\n29032 44049\n44851 90018\n79006 97968\n5895 29448\n71743 89220\n8339 58068\n13495 62975\n59983 83311\n21408 58979\n52286 56338\n51320 75212\n84422 89475\n4228 29795\n16115 97204\n52385 78852\n20930 37912\n9068 30378\n38139 88567\n60891 94227\n67170 88199\n11104 93113\n13435 77388\n2333 14302\n43649 44408\n22839 83371\n64636 97805\n6779 26629\n14077 34037\n8746 98990\n1827 20869\n25888 52631\n50 23679\n68821 93239\n60063 86817\n8553 20530\n54817 79594\n29263 85016\n35130 75024\n737 51173\n23760 78997\n67059 67356\n60996 69707\n82354 88598\n16505 34931\n7482 44546\n27999 41652\n83869 97649\n59125 69552\n45719 95081\n16148 42826\n54184 67464\n65836 77993\n3534 62451\n92722 98871\n196 85169\n118 74929\n58000 59288\n80127 88489\n25778 41704\n35213 52373\n77703 99384\n10712 49148\n29663 97612\n23630 75034\n8180 50410\n36841 55080\n46581 86082\n41307 73982\n15003 97204\n45961 98041\n21660 63804\n36049 97935\n55325 70294\n9217 86502\n31706 49217\n1653 58831\n69075 71619\n41331 81882\n14815 91410\n48520 57751\n3017 44880\n43929 78156\n55818 73114\n3801 89320\n38056 40546\n18229 45465\n50624 92226\n81344 87634\n93357 98840\n29847 50117\n56026 70882\n15494 96457\n7738 50931\n31441 89620\n33511 84792\n3619 79042\n53533 77379\n17466 29856\n36508 93896\n39400 50800\n34670 81079\n18424 72425\n18914 35388\n50655 60399\n90 93943\n34773 62109\n28049 91504\n21429 80148\n33248 79841\n39848 72251\n65985 69051\n41032 90181\n25835 35444\n26860 73411\n82641 88143\n63842 68625\n11460 77289\n14388 61739\n55397 91390\n80448 91197\n28053 57157\n72602 96849\n33805 35650\n23520 29087\n35633 35669\n49363 91625\n12562 89000\n60088 73775\n12528 83488\n93356 95341\n29098 38626\n62822 89885\n10753 70907\n10194 63799\n7080 58287\n10611 27900\n33281 48396\n29137 73314\n75268 97306\n60999 93316\n575 89980\n36572 47122\n38750 80949\n1540 43673\n41738 53566\n18600 67339\n23710 72274\n87231 98399\n27685 94515\n9173 75320\n27386 58766\n4871 50389\n6519 12582\n16575 96418\n29777 64649\n27625 50127\n7678 18566\n86713 89750\n56888 60930\n82510 91939\n13155 95976\n39713 67135\n9292 75040\n22592 58150\n60170 63615\n78089 96354\n25205 59329\n26291 94581\n43372 68446\n16326 59856\n37194 68472\n44035 75425\n14519 23850\n9070 92446\n28188 75477\n61973 93797\n16507 79242\n51490 62686\n3693 62882\n87052 99705\n36106 73636\n43955 49564\n35939 70240\n19188 89224\n25917 56541\n55198 85878\n71606 86143\n25670 54674\n79948 84964\n58794 97114\n2482 90950\n31486 31932\n55883 77803\n1218 59051\n18900 97118\n6144 84552\n40147 87084\n23743 44491\n4453 47354\n74908 92768\n24262 90574\n2698 16149\n2668 9317\n29418 93205\n29576 89467\n10221 96106\n37739 89831\n788 38511\n63225 75962\n38936 42659\n39339 50972\n24881 31094\n13282 56677\n83045 96913\n77002 98562\n4021 84022\n91156 94045\n33282 91933\n8665 71253\n32171 71626\n13983 67474\n16320 62898\n622 36346\n1958 91003\n3868 29458\n32014 52060\n26122 37515\n21849 33178\n625 26091\n48616 78590\n481 43334\n13792 39348\n22174 35674\n82 44788\n71848 73496\n74136 97504\n18925 87354\n5573 57473\n12452 19782\n1067 95988\n65481 94952\n28996 75343\n4960 19003\n39584 51643\n59840 72013\n86103 92547\n31766 97187\n35244 65667\n14655 60075\n14130 97460\n26956 93615\n28660 78672\n12903 52849\n76838 94756\n18531 41810\n33899 78362\n25095 53840\n3992 45909\n28042 89918\n16363 88438\n22441 38167\n40916 68944\n56178 71873\n12204 41881\n32168 98852\n81874 94088\n40735 72381\n11058 81737\n46349 88206\n6281 85217\n56097 89102\n5329 43212\n52746 59476\n16241 56985\n25276 56459\n27039 48198\n33999 57136\n38386 64357\n28160 54805\n40904 57635\n31134 85623\n5347 54685\n40569 77880\n13630 45769\n58561 79347\n22775 63089\n23547 38631\n14026 74597\n2341 38393\n52287 87565\n15689 35374\n69152 84802\n43422 53711\n48762 83304\n42470 59398\n29094 45917\n10359 32553\n42086 87124\n60939 80512\n73025 82920\n76452 91354\n38064 88235\n13981 81224\n51252 84886\n2962 18283\n4066 15038\n61546 81836\n9250 37557\n4487 18164\n11296 38618\n40588 74884\n61387 72335\n47955 76651\n66129 81658\n47609 93755\n448 87797\n54223 60806\n17867 75016\n34918 53241\n27812 98441\n42431 63036\n38822 46153\n87653 92733\n72590 83002\n5251 19670\n879 70871\n6006 24621\n83178 98403\n32335 33085\n35823 66244\n66164 74733\n3496 10444\n22894 67361\n47149 84848\n28803 59451\n82098 84903\n30429 69928\n66334 69854\n70687 93096\n44011 85148\n10634 50452\n44335 83302\n7879 17729\n26619 51654\n36131 91143\n30642 57815\n7227 55663\n12955 87565\n79555 93684\n5913 64122\n77484 78118\n15350 87835\n59915 73230\n752 77322\n41825 59706\n34234 48736\n32543 98844\n33370 47714\n43603 71799\n27086 98039\n16769 38236\n777 13413\n65675 80856\n31652 68171\n49910 99281\n23954 87260\n2236 6301\n36292 97861\n28865 90532\n10753 29372\n44207 94589\n10563 55284\n3220 24643\n17492 79786\n57926 74004\n18730 72636\n42858 91490\n15571 57102\n35138 71608\n21704 82509\n9060 65306\n10642 53866\n14973 34625\n3548 72690\n46440 80344\n55579 97498\n8103 40135\n26567 44325\n32342 51203\n44341 80989\n85784 91419\n43892 49291\n29740 93730\n19585 70901\n43922 68778\n13080 59507\n6558 15584\n48078 72289\n25676 73322\n60380 78159\n6849 10296\n2447 53014\n29798 36765\n56543 77952\n10788 83869\n10854 21533\n2484 19550\n3694 77698\n17928 64836\n62564 92940\n7242 55412\n33354 50655\n23869 62145\n15499 73156\n13139 32756\n39969 54661\n44389 80586\n23462 56150\n28949 72655\n27070 69615\n54673 96239\n32030 49050\n10503 48384\n11020 73726\n11066 13982\n51768 86977\n6717 22735\n42669 87742\n27490 75420\n10606 48986\n1228 49688\n32387 54514\n83565 98561\n12854 70455\n16813 37981\n38334 51011\n3944 43561\n70843 89834\n7863 86165\n11608 35735\n4729 81987\n36084 84187\n64425 87801\n6898 95970\n44014 92817\n35841 46110\n32092 96059\n24767 51589\n26520 59284\n87318 98473\n26449 66529\n44418 71020\n51380 60157\n25887 88547\n45424 72421\n5677 37495\n8071 23670\n55338 91183\n4895 45762\n35370 53146\n21519 67724\n44406 59654\n41783 52146\n69072 80887\n18648 86179\n1164 5714\n70071 73655\n54726 92208\n71047 93765\n42025 64926\n62543 88708\n5526 59198\n24522 57905\n35066 51546\n11401 77873\n16096 67902\n23330 64975\n22827 87990\n76421 98528\n31468 46459\n3710 97485\n39004 86166\n58828 78426\n13534 97752\n30198 73561\n67486 69064\n25941 50286\n53768 67614\n30406 63800\n70052 71846\n54522 74169\n41824 77676\n17114 76560\n10516 85965\n5465 79821\n17385 86676\n9983 97691\n43906 48611\n97885 99024\n17828 52711\n34232 50207\n52339 96475\n2495 60930\n24889 53832\n21472 64748\n67982 89954\n75365 94143\n28435 41920\n31360 72834\n32441 45999\n41446 98717\n31818 47224\n22599 93943\n1980 59619\n25537 89595\n52009 94252\n51507 96864\n74995 98443\n25114 69223\n87573 91421\n65917 89269\n61593 75828\n6195 18658\n153 52642\n15564 40157\n78331 91044\n71763 84849\n1127 31261\n38465 84498\n57348 91307\n59873 79687\n2168 74590\n80383 82273\n39376 74270\n48475 53006\n14296 22568\n71108 91202\n35557 73577\n36461 72899\n3160 10373\n66982 72729\n34370 95141\n33821 40225\n9157 64516\n48796 75363\n29763 59836\n12540 72927\n47596 65039\n53089 83772\n71010 77638\n4308 22697\n58061 80853\n66911 87264\n32991 41892\n57373 93176\n17818 83844\n77701 80269\n23798 80960\n34234 74381\n5703 46757\n35297 55037\n17993 43995\n42646 80108\n23950 32901\n36950 42164\n16780 44283\n12834 84206\n37706 44192\n5694 52490\n12005 94460\n635 12038\n59635 86900\n32918 64194\n59147 59792\n4064 11408\n7585 71669\n46034 54725\n76122 78733\n27010 65466\n39619 73543\n70817 86054\n11221 19480\n29164 61986\n30676 65060\n33575 67753\n48826 93988\n46692 83309\n16433 82151\n54783 75298\n19493 53871\n5182 62535\n62396 87462\n10288 11575\n52260 79721\n20341 68572\n14475 61419\n24409 27992\n42177 75085\n48446 84627\n35470 57860\n13096 89298\n28461 78864\n4718 87285\n13256 79911\n32138 58622\n55154 70256\n30509 94283\n27984 65540\n13250 85897\n7343 26976\n79074 80363\n4764 96917\n1348 65483\n89109 93241\n2198 8407\n60764 62372\n17478 19607\n18378 99952\n9963 68689\n57157 80244\n32943 34525\n60906 61557\n56197 88313\n84296 85037\n41710 88560\n19623 46125\n51829 84422\n40327 41773\n26676 80469\n12786 94191\n83956 94518\n28902 90518\n64195 88254\n54937 71928\n16015 86659\n26511 51840\n10872 34387\n96561 98897\n9402 78362\n31483 77524\n28780 96357\n92283 95911\n49026 66014\n77192 87057\n3112 63687\n4218 81696\n57668 96634\n12149 14968\n2488 24980\n35331 91262\n51563 73416\n1231 67386\n44725 71541\n32260 36988\n22638 45629\n51048 96070\n24544 65108\n53878 69008\n30461 46821\n13633 89566\n16049 79768\n36645 48843\n29527 40405\n1248 45103\n24120 41950\n56480 71381\n6512 19777\n12292 47381\n22905 62959\n19287 51131\n24628 31541\n68439 78970\n85304 94133\n31568 58811\n6590 96552\n37487 73388\n63457 67026\n33611 38604\n94609 98244\n14622 70844\n17445 84062\n13863 63488\n15575 55208\n31439 81826\n62457 68007\n36419 46863\n44521 47075\n36701 48443\n5516 68283\n20764 64820\n34838 83502\n17971 18302\n71983 82801\n84026 97139\n79898 88231\n13685 71436\n35906 35979\n4771 18709\n77797 85755\n18876 26156\n2214 93474\n70637 93299\n1727 45458\n14905 82652\n30360 64936\n15080 98122\n66203 90365\n38767 71918\n31798 43301\n26953 68124\n69345 73012\n40819 72238\n62103 94149\n28774 95537\n5367 48085\n85418 89909\n2394 83010\n11037 50557\n82045 99828\n21586 66971\n44143 68815\n2795 35446\n10936 53592\n14048 79701\n46660 63121\n6916 39691\n64616 68847\n80427 98043\n82042 87777\n49677 87166\n9340 70428\n15954 84032\n21990 77416\n55310 74030\n59737 85868\n5214 47946\n10461 66085\n16793 26428\n8086 86909\n41496 87564\n54339 81163\n65701 81074\n49244 85186\n5210 9113\n47547 90060\n53690 57729\n20567 66529\n11597 31080\n21724 27939\n6429 69133\n43065 97275\n41852 45357\n28770 53317\n32552 81137\n56683 76143\n35224 62787\n36214 58901\n63524 82991\n48021 75911\n22768 54539\n59391 76198\n62126 82319\n45622 57415\n21137 85172\n5856 25955\n8271 74144\n576 56322\n24332 42259\n47607 96636\n50590 84394\n90377 97271\n12761 83701\n93467 94916\n69005 72732\n55423 61021\n40412 67901\n27429 61476\n51482 70300\n81002 88442\n6136 43847\n516 96541\n28067 85775\n36737 48179\n44056 55928\n88701 90588\n24115 36677\n42480 95157\n44748 46495\n1056 79750\n21337 55099\n18166 84938\n19264 41744\n55407 64723\n43354 99875\n54938 73002\n226 11919\n10127 33003\n63479 72555\n25819 59734\n47637 48049\n3231 94739\n43870 65705\n15444 27825\n34614 75236\n79792 95331\n47847 71996\n10010 11560\n29088 86237\n4607 99142\n65190 78937\n1002 72604\n6823 56010\n12946 41315\n68317 83176\n1614 71461\n16498 62668\n77164 83483\n20519 28278\n4082 40495\n29860 84941\n45573 60205\n27387 54099\n67932 87195\n28780 90303\n49565 87292\n23604 77145\n60488 61116\n7927 99356\n24158 71362\n86297 88016\n7195 16615\n29252 38123\n69669 71717\n41295 56905\n7952 88780\n10897 57432\n2954 73637\n45694 50363\n70357 90811\n41160 78219\n39687 91678\n4742 33819\n40456 96002\n2453 77247\n16217 88810\n22386 85914\n9785 42258\n50624 65010\n2595 68316\n1025 2592\n10220 27105\n49970 64130\n67460 71697\n65931 85767\n20260 39965\n21054 66197\n39512 73669\n20990 92715\n34671 95167\n28334 55333\n15535 30784\n42238 64919\n18542 67928\n3681 15250\n13862 33123\n56774 75102\n63946 77265\n39759 59317\n11449 88877\n55519 67338\n22387 69161\n57460 63406\n18314 42300\n31718 52503\n28162 63259\n971 28106\n23383 68459\n18484 69138\n37660 53209\n66078 66113\n3414 40390\n47949 57350\n1443 14120\n69648 93738\n49204 73081\n8655 73231\n83463 86378\n65931 85870\n34521 81437\n25830 42836\n65159 79623\n3044 26415\n46145 84635\n48195 92511\n64622 90958\n13725 43659\n46185 88625\n60101 75198\n31668 74620\n30323 90631\n68554 99289\n711 44969\n21267 84062\n61248 82932\n66198 99760\n74222 97195\n7114 35325\n34088 51367\n17506 94826\n45439 54276\n14554 77914\n11336 27199\n49316 87698\n25290 70968\n26023 95797\n94869 97916\n59880 66981\n66321 75159\n5971 94808\n11618 83322\n15811 87948\n46266 58906\n51662 88283\n49119 84986\n20566 39593\n9647 29079\n67236 68907\n80589 90345\n23513 38079\n14579 84862\n50908 72912\n16913 89654\n6144 92067\n11676 90063\n74701 95680\n22961 98795\n13956 58570\n17181 48297\n18402 94932\n22375 81167\n17815 47848\n70984 85640\n25975 91882\n34532 84102\n73977 98231\n65616 71419\n12999 26880\n20909 97759\n67853 92200\n7862 71776\n13461 47004\n24713 45690\n69600 76946\n26429 29937\n49991 90766\n95298 98960\n9912 68134\n33411 97104\n13122 96942\n16869 75325\n19699 91747\n21951 98249\n39278 73152\n12006 66914\n73739 82322\n12505 13506\n26033 95120\n7789 17660\n32016 77916\n19260 41942\n37959 41332\n68806 84537\n57846 61833\n56857 94363\n26914 41124\n48838 91055\n23932 46527\n38949 90990\n16475 33728\n38120 90616\n17373 90552\n29617 68051\n28193 58256\n55269 64794\n18903 84188\n13285 55619\n55704 94469\n58654 81942\n4851 78339\n3518 85643\n6270 28324\n45778 71937\n45233 75361\n77015 96082\n67341 86489\n43523 64241\n34894 77540\n71088 91781\n50923 93727\n73704 93873\n19193 28634\n3260 55916\n19434 40000\n52381 90468\n27815 57730\n6406 32567\n34378 38914\n3517 90185\n61399 92028\n10553 61035\n44161 45036\n2621 33783\n21036 56197\n43257 79210\n16920 70789\n24364 26532\n30704 65567\n1100 33544\n69204 78739\n55953 94652\n12961 67705\n2214 28208\n20366 68606\n1963 55681\n28709 54725\n47667 70527\n28338 35285\n61907 64966\n52780 58678\n421 49106\n55407 80035\n20282 95805\n46111 71861\n42468 85235\n15673 50617\n2703 81764\n16224 56189\n48057 85605\n10758 20808\n20796 77483\n28468 68097\n20730 46715\n49160 86877\n48545 50346\n4943 79549\n70528 87313\n39863 96002\n26147 75128\n84394 87943\n17792 25452\n1951 16883\n14838 44992\n55391 79098\n60200 72056\n48819 62232\n307 15937\n7725 60436\n6994 95741\n55280 79266\n13433 83299\n43399 49482\n79733 88967\n20811 89653\n37220 84276\n31027 83745\n517 53990\n60473 69062\n28189 89356\n10791 63738\n46568 56703\n19774 32172\n64977 86240\n83328 99182\n18831 84778\n22601 42279\n73461 95381\n17667 25866\n86422 94418\n21740 72151\n68669 88773\n6351 20368\n8863 38489\n5375 14041\n36918 74095\n59728 62115\n33069 41239\n18428 80375\n44316 71869\n27034 47125\n25073 97480\n40619 71253\n58747 66430\n78100 79945\n22553 39271\n62186 88037\n51241 60865\n18294 37514\n918 29858\n28297 45685\n28940 79487\n58061 59064\n9043 52003\n3172 30674\n14623 22121\n60506 87875\n30440 67910\n28089 53877\n13561 46744\n6861 43926\n13408 16407\n28549 28858\n10544 74032\n32442 80696\n15414 53995\n43279 70108\n79073 81314\n10440 45750\n40347 42526\n72315 83629\n21051 27737\n32221 74803\n17350 53155\n31608 62293\n21933 68885\n7436 73449\n27560 29715\n2473 60287\n79113 86358\n11976 69329\n77567 86508\n55124 92450\n40037 96850\n20511 88429\n11505 20850\n16349 91380\n62849 91660\n31631 69576\n53125 83331\n64803 76702\n31626 59406\n30309 81069\n13591 58115\n67086 70165\n33282 89739\n83412 96046\n27212 50837\n29300 83469\n17670 74764\n78968 92240\n10110 61760\n28914 58990\n62823 89444\n13267 32824\n871 11619\n54778 65598\n57665 73099\n63780 65563\n12624 12759\n34668 93072\n41424 92602\n35829 47683\n42253 95216\n28904 91048\n28697 53128\n71917 93080\n12619 30102\n72223 86559\n66570 86356\n62452 92934\n22577 69757\n6445 58579\n16302 92489\n29125 79486\n41254 71955\n32804 46067\n24007 26375\n24617 54957\n93212 98798\n42399 69256\n18421 51921\n46063 73387\n38686 99012\n17063 72477\n12483 82819\n42271 61141\n54054 79661\n28321 82071\n34041 83594\n67512 76563\n8388 29357\n16757 54760\n25322 43976\n5434 17865\n40733 87097\n31628 95280\n7092 22595\n37018 89323\n78424 84980\n26954 77376\n30623 93725\n632 99672\n10030 85677\n28280 71445\n80811 88270\n35836 67055\n6305 49651\n73473 90755\n61650 78877\n22762 52745\n35120 79549\n33160 84141\n19563 97017\n26931 78321\n77415 94561\n10840 86763\n69275 97409\n43270 70817\n62783 72037\n36448 96324\n53764 85605\n11854 88943\n71001 82317\n10177 62939\n62105 85679\n37810 39075\n41569 44131\n26539 44400\n35692 42938\n54061 89923\n8414 25150\n20796 76451\n37258 70768\n16262 98788\n14546 72913\n23162 50897\n10964 56201\n14250 34582\n30476 80560\n18016 37642\n1063 58109\n57418 99985\n8945 27785\n29547 34933\n39481 93392\n5818 61965\n23262 69687\n36051 98899\n42836 67972\n22733 39262\n28377 32043\n22790 88424\n38474 83262\n24817 60109\n41963 71606\n39082 82563\n28025 84044\n35953 48431\n57360 78983\n4178 79284\n53082 62971\n37049 65401\n53051 80579\n26541 51758\n74009 83797\n44478 60772\n44261 59004\n9882 56498\n18216 19667\n32861 75791\n57382 90007\n37530 70320\n41320 68136\n90375 93214\n51090 52333\n12064 86990\n14310 37865\n35131 64773\n18404 51595\n1338 71389\n17821 46501\n22448 47807\n19922 98946\n72126 95019\n72532 72542\n34265 69059\n8605 53384\n36504 95158\n26398 27854\n8618 51830\n7528 37948\n69267 74373\n34402 41482\n87352 88618\n95560 95657\n29971 72271\n19550 29154\n44501 80711\n67632 97908\n16906 71204\n19720 88268\n3753 18054\n52943 69369\n40136 77797\n16002 66618\n62494 85376\n24414 51729\n49677 94974\n22409 92914\n23958 39477\n61427 76432\n50508 51789\n11005 64812\n55771 87855\n15560 81744\n45363 68177\n3941 28662\n7541 8906\n36662 85049\n19039 57371\n11173 66647\n12278 92957\n3404 27742\n79045 80671\n3939 66696\n86527 96723\n55537 83646\n68539 73727\n7779 91139\n14647 85862\n45412 96561\n15803 82705\n37425 65238\n14728 66865\n45957 68778\n14874 99517\n29119 42470\n64610 72892\n31235 54331\n63974 83967\n6387 81029\n5240 46365\n33169 36089\n31929 94690\n6496 69224\n64506 91913\n27535 45754\n6175 59692\n16418 31793\n9465 15812\n2775 39640\n28872 39090\n38528 40943\n58402 95582\n7113 98215\n14639 63548\n43953 45738\n12499 94829\n30317 60385\n17552 30782\n41536 64591\n34936 96655\n51076 80216\n16844 42870\n15305 25083\n75983 88279\n3823 78849\n10381 19922\n35795 62365\n20936 92393\n6342 33961\n672 37601\n1135 65723\n68174 77775\n32859 93405\n14500 52952\n56702 86494\n9230 40070\n45839 50647\n9653 63691\n66935 76154\n12533 88813\n49060 92733\n6219 52187\n34887 46124\n45042 68507\n50505 57281\n6986 21515\n30017 64026\n24372 47949\n31481 41149\n45856 52656\n50612 66356\n28294 87905\n52835 62739\n14358 68982\n16097 51254\n1178 68736\n26840 49890\n9318 47327\n19224 62345\n83213 93656\n43512 96448\n2677 45417\n35183 99172\n33910 61530\n62228 70215\n9492 99726\n48001 95356\n47438 50666\n1906 15912\n44561 81117\n45097 73028\n64655 66436\n43746 58203\n93043 94309\n37372 47367\n43515 80654\n10916 33402\n43318 44323\n47342 96119\n28387 75616\n19418 90597\n67479 82421\n15587 39431\n8815 60195\n36682 42284\n403 85255\n29283 75647\n37340 65511\n3852 44878\n34135 42695\n37489 69454\n1637 82609\n61554 65087\n49575 78306\n5890 88095\n84160 98824\n98638 99482\n8755 34975\n12866 37069\n2635 42855\n36276 57849\n31238 51415\n3482 99624\n77003 77690\n58236 91432\n33560 35781\n83970 84503\n29622 99604\n34878 62441\n29880 44019\n14203 52449\n3302 99252\n52141 57406\n27109 50850\n80313 85337\n50361 90794\n54995 71352\n10113 43780\n21214 72390\n34053 93000\n60740 93925\n10974 49683\n6991 36340\n16309 34374\n15169 33697\n20893 85557\n22409 69055\n8000 14188\n40973 70070\n13787 13823\n34737 44912\n19360 61590\n51454 84541\n48845 60147\n70971 85330\n3967 12228\n13538 63601\n72240 93842\n29299 73879\n15979 32313\n76370 90832\n11622 96942\n45670 64301\n1636 7174\n33184 73703\n17310 71149\n72434 85041\n44256 54473\n57195 87344\n1384 40557\n6420 20465\n18115 75945\n5624 49449\n70851 85785\n27073 83972\n34364 79900\n51285 60782\n26157 35840\n53405 85101\n12345 44627\n24089 38449\n73491 84186\n10075 81146\n3108 30362\n10584 69512\n53025 77018\n21070 66155\n19537 66444\n21208 57654\n42598 47638\n74903 98197\n68239 91727\n69631 84795\n71582 76770\n10831 33307\n36177 36696\n61905 84662\n37425 41869\n8464 60337\n50108 64042\n8042 76634\n23499 68968\n32442 98748\n5821 6902\n21426 36809\n25411 69398\n9392 16986\n5858 82497\n37729 49650\n29466 89223\n40511 78623\n46871 50247\n89621 89935\n3983 46131\n82105 94979\n18581 55741\n59472 88415\n27483 65122\n21306 73091\n54680 66200\n23216 76961\n10817 69909\n56857 99338\n39783 85021\n11055 32253\n8605 68341\n72018 95328\n54543 54914\n72448 83478\n34837 45432\n40076 77763\n59770 80554\n48753 54155\n51252 54048\n18870 97280\n14518 60328\n39466 42713\n6393 29330\n38213 49507\n45154 47602\n44197 74395\n25526 94504\n55426 78084\n69765 72288\n6563 7485\n18100 81135\n8946 50876\n38331 94482\n82957 83829\n82137 95248\n46697 95142\n48556 82498\n65331 81013\n15371 47776\n1144 94428\n77884 93341\n14690 18075\n45973 74618\n68999 88389\n47467 72703\n10614 55825\n47897 82260\n7102 9831\n30823 90672\n600 25526\n20319 93791\n69836 70474\n5624 88047\n13995 41067\n75432 77570\n2724 39491\n37563 75901\n19072 27778\n15338 36137\n76505 99156\n9548 11506\n39 19692\n33062 83236\n1181 74510\n54922 68625\n40647 61664\n9197 50207\n74372 87416\n8862 65804\n13024 89364\n82090 98625\n22511 94141\n47999 59166\n14297 50100\n54702 62639\n18506 31596\n12753 61864\n12160 90749\n39821 56368\n11689 70823\n8245 98220\n47163 69538\n27838 75312\n4023 32432\n76741 96760\n41613 65496\n16387 60555\n66875 96629\n29480 91046\n80366 93828\n32892 68668\n4654 64901\n30788 52536\n32177 41920\n24028 84212\n22238 25928\n2617 68217\n5012 56318\n23466 60197\n66360 97849\n40414 93401\n43128 62037\n25017 79109\n71670 83257\n31719 98436\n35258 51974\n74009 87673\n22855 90374\n31188 97740\n30270 42249\n57798 79880\n46815 60616\n21968 61122\n34184 85692\n37191 81866\n14094 40848\n2906 31558\n8655 92308\n3581 80034\n21751 83527\n56504 96243\n60928 68420\n19124 91526\n37826 86141\n42269 90831\n5229 14403\n40893 97127\n5755 43445\n25545 63369\n22145 22344\n40493 73764\n32546 75884\n428 34561\n3337 54513\n45013 88175\n60585 69280\n26624 82357\n77745 91546\n23526 45128\n28341 80373\n54043 81449\n20831 38161\n48891 69491\n39992 87643\n48146 99633\n15578 85611\n58386 93125\n17509 36905\n59607 97281\n30784 42847\n66176 68906\n11739 83820\n36400 59201\n48691 94156\n10097 27061\n35392 79642\n63211 70410\n30017 66737\n63925 65367\n57891 81968\n8379 74345\n59080 66037\n54341 90942\n47789 97673\n70936 89084\n586 89655\n27439 60960\n66942 68789\n69243 76129\n49815 75242\n24852 42073\n55910 83226\n24920 39755\n23797 50438\n27140 89284\n12430 91094\n7680 61286\n44691 59330\n50631 98644\n8897 11897\n34137 72755\n45283 59358\n32744 72327\n25510 85746\n14810 94573\n85611 92625\n85044 88671\n31090 73212\n41910 93420\n8036 28322\n10048 16412\n9588 29566\n21583 96104\n27053 65651\n24588 32035\n22437 34128\n15555 20186\n7662 24623\n26901 46537\n57663 64314\n73738 77659\n22921 24714\n51582 70753\n2381 24649\n51813 70771\n24584 38754\n47459 54495\n5769 46110\n72485 81688\n19487 61839\n21785 89797\n6474 46887\n44450 53705\n7695 53706\n52942 59273\n34035 63546\n34707 65351\n21996 93355\n28871 33310\n4098 40969\n31033 97752\n42854 46088\n28724 31791\n41545 44536\n70231 99599\n45670 81345\n18378 21725\n16557 40842\n55463 71614\n40978 52464\n34326 90321\n58343 63113\n19797 23078\n50667 63950\n49164 85431\n47911 88438\n5554 78088\n44672 86866\n45061 80085\n12333 46481\n43719 56805\n27323 50519\n43263 82164\n51339 70176\n12254 39319\n38788 84958\n39425 58052\n37001 47886\n15943 58849\n44828 88207\n3181 91820\n267 93807\n10444 94973\n33570 95489\n25258 81898\n634 93058\n66673 84098\n234 76564\n38283 78342\n35563 63112\n52175 56309\n5415 13890\n14461 86336\n35531 44021\n9157 53261\n47265 68321\n59014 78065\n15423 45548\n52683 57058\n14785 34856\n13982 97860\n65502 69535\n34150 87258\n74487 95168\n29043 94989\n9639 76282\n82205 97130\n66930 98718\n66469 82615\n44239 63990\n3917 31951\n80261 84009\n20201 62777\n46092 82963\n16071 85974\n2415 86897\n34773 71051\n25185 33179\n60261 67095\n88052 93027\n10996 92493\n54861 55032\n82161 89138\n50327 53765\n42646 99847\n80583 93758\n39419 54716\n14955 76223\n22815 36837\n8391 94217\n20277 76589\n43049 52185\n40124 66084\n14152 93986\n40593 63334\n15143 51694\n2605 97955\n16848 81469\n59589 69024\n17263 49400\n14692 87549\n43716 50893\n18065 73077\n42433 85106\n67809 75508\n14953 77578\n36341 43616\n1595 21713\n14545 64518\n19465 80588\n26263 67875\n37423 54728\n52878 63272\n1925 22754\n16306 51041\n15448 83225\n58661 95802\n32003 43084\n63893 89696\n85084 89546\n21915 48469\n92995 99632\n78596 88751\n56256 90716\n24080 83683\n50565 81824\n23304 55868\n25425 92660\n49252 76064\n55769 81805\n30340 79325\n26125 90712\n645 21308\n47578 51894\n9818 51684\n70901 81401\n51671 97798\n29437 98868\n59046 76502\n3705 98715\n43239 83272\n32556 70665\n6227 40595\n24219 55090\n6842 80863\n49372 78095\n13308 88212\n30652 72375\n68424 78764\n7897 77637\n36841 63098\n14926 18857\n6082 42765\n21401 57288\n30070 64093\n41149 54909\n12261 99357\n57885 98743\n59212 94183\n36991 38618\n31667 92855\n3017 98199\n10966 14492\n71449 97409\n16098 97492\n67929 68730\n5909 48038\n11826 26473\n8130 40750\n26926 60727\n46617 95549\n66231 91166\n29090 81427\n23085 91935\n43203 68803\n44932 71803\n39800 75396\n69268 97790\n40 11977\n29063 57575\n1416 31433\n6375 67506\n40325 91633\n10668 74430\n71693 75655\n80464 92098\n46751 65332\n67100 92478\n16102 84724\n1139 11644\n34424 41626\n56724 58781\n42604 78206\n405 5626\n36529 87322\n8659 74321\n10055 35774\n5535 7735\n23403 81123\n6705 97429\n4329 66084\n50086 73693\n980 49265\n35756 53200\n85184 97679\n75448 93095\n34732 49736\n2744 91513\n52814 55668\n53826 68676\n63123 80745\n8885 36772\n43130 53551\n51697 78600\n53505 74643\n15927 68993\n7218 92429\n24401 62957\n65689 95798\n6091 60900\n44516 71783\n22106 33799\n29246 76821\n44878 90582\n65677 78649\n54883 93001\n68017 74265\n12028 97436\n3440 48615\n17891 61958\n28899 75308\n26054 86876\n38732 47149\n4406 26257\n70850 96563\n31905 63080\n48021 49510\n3170 34467\n39304 48790\n22571 79835\n24021 48340\n91019 96672\n31282 83167\n7571 59119\n8524 13139\n10023 34767\n75866 95059\n10921 90647\n28455 46095\n2948 60832\n19908 92168\n51524 96769\n1319 84177\n51394 96764\n12794 99106\n36442 48678\n67927 96427\n34688 75049\n82109 95553\n18930 53150\n84064 96826\n12596 73376\n61202 66552\n10985 94315\n18173 40094\n69551 82140\n40446 59890\n229 82812\n17584 99625\n63724 80438\n38051 72718\n4333 70491\n78772 94735\n7436 14697\n11773 47703\n14341 48468\n31933 36502\n1459 54760\n38657 84682\n49572 75478\n31079 46848\n34356 73657\n27938 54650\n65443 65597\n76657 81298\n3724 64245\n77371 92532\n14916 16669\n33834 46521\n32167 32946\n32060 38457\n5937 20215\n14303 18362\n9506 51392\n49636 62750\n6261 14049\n9330 36264\n62372 93638\n15997 24387\n22389 49190\n65975 98583\n35541 42497\n7141 33461\n13264 34985\n26680 43976\n30983 82776\n6334 54141\n10176 94147\n43252 71887\n65334 80787\n22004 62562\n18104 19041\n12414 71615\n44564 51893\n28319 71805\n60759 73584\n1945 17805\n22851 44692\n5132 10599\n37701 73202\n27433 71071\n3378 6405\n3384 7617\n83357 91691\n6808 48785\n3531 54493\n121 98832\n40322 47836\n24161 34978\n45276 63533\n4866 77537\n35099 87987\n5350 75805\n19371 50641\n10874 27614\n13401 58321\n2065 66999\n15341 39573\n83764 96476\n49302 75390\n27409 30744\n28220 47610\n41459 47028\n7643 83088\n34197 78734\n31983 58254\n5157 6293\n31814 89116\n10512 15757\n20421 47299\n52869 61070\n8498 92635\n65365 89735\n767 76343\n995 55744\n57084 72559\n64961 98493\n21666 48617\n39373 98485\n30864 99890\n44330 98706\n52372 69483\n6239 90303\n40476 90983\n49517 63565\n34092 60171\n6685 14650\n51009 70065\n7853 15336\n36991 41835\n15994 80819\n23242 68147\n10772 53348\n30986 56328\n15407 91203\n42484 65769\n12355 81017\n11295 75305\n33697 40564\n76631 79554\n47792 87567\n7929 33321\n59450 65474\n16427 43782\n48200 50758\n3419 11540\n27455 66956\n75060 87541\n45799 59338\n18036 86974\n61010 93645\n3921 51340\n11324 15360\n66069 96452\n77797 87023\n47256 97382\n52709 90738\n57336 64855\n29943 74614\n35330 72445\n31397 70263\n46347 65759\n71159 88403\n81408 82003\n22805 37258\n16926 56224\n76584 91574\n63551 97565\n9301 16989\n17966 96862\n68394 70232\n1326 48965\n8285 20422\n39685 69812\n77688 88521\n20814 63202\n723 84994\n30572 46128\n42326 49727\n39887 84480\n34033 94093\n37698 77221\n9013 79949\n53321 68761\n302 14160\n47732 75944\n29063 61540\n8857 78034\n5104 49266\n90670 97418\n371 43711\n31509 63174\n53763 78573\n84654 93249\n56950 75132\n80318 92815\n17468 79437\n28688 52412\n694 11449\n89151 90074\n29749 80895\n87134 91335\n28428 94662\n50776 72580\n45956 88973\n5563 93145\n51945 67594\n2592 81711\n48015 59551\n5963 85173\n3061 45183\n16335 75521\n25500 65256\n2482 27848\n42040 95918\n9158 17699\n41299 44355\n26751 51549\n64480 94251\n29387 95656\n46420 61217\n3176 24893\n67915 95317\n80551 97879\n19131 91484\n28546 50949\n58236 60099\n24475 83435\n57667 94321\n44599 54120\n4916 13482\n7907 42726\n16186 47719\n12100 41689\n19767 95296\n48277 69429\n29820 88512\n67259 90912\n33644 61334\n11133 12387\n29224 60034\n28071 75484\n12531 62064\n8380 31478\n58963 87021\n23286 77587\n4274 6857\n62477 69532\n3236 41315\n34213 48894\n44100 45043\n47651 60099\n15128 94976\n15204 32035\n4252 68674\n84752 92265\n16041 45631\n54873 58303\n45858 93359\n9383 84066\n20454 91530\n3853 39297\n3320 21139\n2747 47512\n71829 89197\n3139 97793\n58552 63094\n43115 88708\n6514 60475\n44679 52362\n73001 95431\n67148 75363\n73849 87728\n49786 56503\n32970 70894\n34420 43686\n64006 68951\n47187 79313\n27017 51262\n36722 50671\n39788 82146\n2473 15936\n43011 96277\n51949 95816\n8287 89499\n24474 94112\n70122 73936\n39426 94619\n11491 39416\n38000 75138\n12089 27638\n26486 59800\n725 28744\n11278 27548\n30522 56313\n77368 99276\n78644 85346\n42174 67690\n78063 89174\n59635 80744\n48776 73293\n25882 53925\n13651 31948\n10802 24111\n37119 67850\n37666 85901\n5183 11083\n46113 53291\n48852 90771\n22760 49531\n61125 77546\n23887 61177\n37241 85989\n9803 71527\n20720 27422\n39518 68578\n75753 77548\n49249 68983\n35174 80586\n68316 82316\n73617 81705\n59460 61727\n39895 48522\n5738 72434\n41682 72085\n9295 30845\n92156 99399\n62938 74006\n57534 82424\n85800 92012\n55094 81349\n68234 79771\n1273 11303\n26130 82347\n20130 48499\n38555 79033\n23171 26438\n10980 42313\n23610 92679\n89714 96852\n18587 88702\n48301 81911\n10957 66086\n15539 44267\n46637 70913\n4114 36296\n23402 60508\n58355 77224\n10816 74837\n73485 81343\n15901 16855\n58882 87017\n53639 84711\n10821 89361\n27709 31771\n18465 75056\n4355 40652\n34257 93952\n70445 90604\n2362 57321\n10621 67003\n12802 69626\n25527 59452\n89286 93260\n17796 82599\n60762 71463\n46427 97785\n9647 64364\n28225 49997\n10023 95829\n11641 36289\n66983 84440\n2330 85267\n18971 39104\n8900 24096\n40407 54764\n2928 69914\n6676 60761\n8212 90549\n17306 44445\n24272 51144\n6099 88226\n22749 27218\n32590 35754\n4743 69324\n14924 73622\n3650 67897\n5197 85863\n5042 76912\n24855 95208\n56053 80416\n43851 64308\n52434 63187\n9499 16439\n14985 29586\n24902 33342\n28210 80798\n18675 41496\n61897 86119\n6220 64853\n93234 98292\n48578 91691\n3864 61360\n18000 45274\n18632 45177\n37468 43986\n17848 60232\n46344 76463\n41903 95867\n72124 83561\n55438 89206\n2972 39414\n52345 79483\n30232 83592\n57336 71537\n39550 80059\n21113 87958\n9417 13732\n36331 49745\n50896 59126\n13281 88539\n78925 79100\n30559 54077\n15407 50734\n20596 23037\n83764 94207\n32289 93409\n16706 53942\n70244 90406\n1605 41599\n2229 95405\n84426 99124\n15328 83436\n41115 51691\n62734 75211\n37687 72021\n57061 74354\n84812 88628\n33277 65162\n58929 86873\n53941 63862\n17830 39062\n47121 89034\n21110 39397\n4244 92825\n48332 78237\n36830 44843\n47185 65895\n59368 84624\n19462 97344\n6312 19841\n9480 53681\n19669 50004\n65617 94488\n3986 28393\n10617 55779\n47322 49237\n9266 23137\n7842 18033\n45152 57931\n44097 87247\n27761 31455\n56421 69555\n9257 10197\n22128 92316\n878 1670\n13001 69044\n29156 35680\n16577 69007\n52276 87251\n24463 68587\n8689 60896\n26704 44798\n102 47613\n18704 58966\n19114 29558\n28843 90695\n17464 36662\n4569 63795\n46902 52727\n7367 28782\n18407 36550\n5152 23221\n10729 54932\n19558 38128\n39187 73995\n6779 67167\n12251 34236\n29281 36148\n8713 51842\n86985 88722\n23343 26019\n51433 95992\n80394 82798\n56644 67396\n6306 53565\n42493 89276\n11879 92039\n13378 63235\n5661 74801\n22658 88403\n29745 48092\n17846 78617\n55547 97504\n39200 45247\n40679 51421\n25161 75601\n62810 76451\n11068 13044\n22668 81734\n27139 77312\n81013 86565\n473 85365\n28462 91246\n56470 58854\n56611 78197\n21203 82423\n68270 68622\n27327 32926\n15245 81121\n83423 95645\n65910 93419\n27392 56553\n67019 96842\n24252 60422\n8543 33744\n13048 86189\n5769 62770\n70362 79685\n68928 81322\n41641 85951\n69715 72100\n12630 73098\n22538 32886\n17296 21788\n13526 56309\n15074 63956\n27077 75887\n38098 48203\n4057 18349\n60253 90816\n46224 82431\n816 57131\n59162 84943\n19804 58217\n53774 84428\n10157 17735\n31692 62049\n31028 93031\n4401 90133\n53864 68342\n8555 33323\n22344 46024\n46067 47726\n51010 52971\n62393 78514\n85942 90334\n44891 50562\n38587 96449\n61631 75039\n47347 65174\n43910 45058\n15660 84789\n11138 40945\n81080 92990\n42493 93191\n85842 92297\n29660 95254\n927 77617\n16640 75134\n25397 67449\n11099 85074\n18823 84068\n25104 50338\n46616 62568\n61797 64609\n32656 89183\n29070 93680\n4589 68744\n5485 59667\n52451 89443\n22338 34910\n750 90853\n53592 75579\n88147 90723\n83521 91956\n68797 73888\n14797 64071\n65118 78980\n76736 90605\n47296 74065\n32787 59563\n28406 71321\n43169 60140\n62113 95556\n5264 95027\n22411 55607\n32145 77369\n86457 97740\n43601 63469\n2704 65291\n55941 92352\n8300 30188\n18790 95080\n32088 72335\n6860 23753\n13819 82266\n30958 93282\n17736 89204\n44470 82193\n35027 98358\n14010 45893\n36874 37225\n71862 93647\n68670 69308\n10022 60861\n9359 67189\n64502 72377\n8252 26498\n24451 56483\n12337 28984\n29292 42103\n4131 64034\n15261 69733\n20735 25302\n46604 99504\n28640 69140\n10955 43747\n39536 53250\n55341 64421\n54612 82593\n59392 76413\n59433 78385\n51102 69416\n65068 93503\n47956 96850\n70713 75966\n52710 69537\n13343 79593\n28577 28982\n36571 54324\n23880 62357\n6012 83695\n12120 59783\n75506 82946\n8916 27539\n18706 45891\n70104 85247\n66455 85346\n53111 91105\n27253 83157\n34152 85738\n8242 31634\n17835 55606\n21672 38111\n75228 85956\n16065 51585\n14252 24139\n78213 90009\n70961 81324\n45455 88187\n37109 45331\n37805 65599\n25168 51224\n21879 37587\n5596 16359\n33370 82068\n2590 43956\n25618 71225\n3756 70946\n21347 39786\n20992 44341\n70423 96752\n41619 63918\n33056 59157\n38545 80476\n16507 55694\n49465 58142\n72462 79984\n27997 93633\n31165 58682\n32582 58369\n42530 81807\n30698 78532\n1156 52178\n15720 78047\n24327 31381\n23414 84544\n50091 79536\n39254 87717\n25257 47615\n58535 78534\n7041 23889\n20797 80876\n13617 56831\n53525 82471\n96831 99388\n48781 87355\n3904 51660\n60769 73593\n3976 33198\n45601 86831\n44997 82521\n42795 71340\n10584 67113\n36952 81851\n52810 59566\n59674 96579\n71189 89389\n6537 81930\n40187 54734\n36789 65922\n17905 87532\n57658 69097\n6149 95548\n4896 86116\n11702 61578\n42538 93528\n3261 49667\n7895 66290\n73028 75640\n19167 78704\n4125 73651\n19902 56187\n53985 85512\n64124 84262\n36264 81064\n24125 72381\n47162 52071\n53058 55461\n20486 35452\n64975 84827\n56028 69105\n26238 74394\n72665 87124\n46749 84804\n46975 53231\n10000 99453\n57104 83286\n28136 43067\n77633 87855\n43084 87729\n22181 52001\n37525 92017\n23865 63888\n50163 79530\n41018 61420\n10545 93459\n65636 76432\n74757 94508\n60156 77735\n79136 95962\n9935 93337\n7293 35977\n55648 95427\n45067 98250\n22883 58627\n79001 82483\n22014 93406\n7475 90446\n72437 94394\n11088 89082\n37604 79292\n13280 41956\n50541 64942\n12628 52459\n1688 6022\n5984 23790\n16654 95830\n38135 95364\n50582 72062\n65163 97126\n29815 69465\n23778 78618\n34148 41358\n42364 70313\n21007 97455\n13216 46948\n30055 70470\n21143 63340\n40078 67906\n69890 96283\n22719 93507\n72461 79209\n20203 22085\n49645 93686\n50888 97465\n42385 74905\n22219 80619\n34053 57015\n34283 71500\n26898 86062\n49665 78185\n77426 79688\n40710 80003\n60119 62499\n33753 40735\n37572 64385\n50641 91518\n12205 61993\n33728 71086\n19321 73910\n13926 29100\n79598 82032\n52160 91396\n26353 65045\n1731 57958\n31308 33275\n16770 42940\n12145 68077\n36012 47699\n68877 98112\n65784 82548\n25805 95384\n4481 49627\n24394 98260\n52017 99403\n15648 92440\n39853 45594\n22859 40798\n34323 40433\n33520 34630\n33645 66970\n20896 58125\n20377 55115\n9675 54597\n74690 93357\n28198 71038\n54172 65662\n21371 24157\n1093 7871\n71080 93967\n10253 30070\n31449 44497\n12751 54326\n11046 70219\n72877 92742\n69227 92341\n49409 78203\n60214 97478\n47338 86512\n9148 20562\n10692 37234\n89425 91758\n42135 78980\n59678 85655\n19648 87702\n23383 76187\n32218 72140\n77039 99135\n55607 56639\n79612 89261\n91693 92967\n4360 47676\n26524 81694\n55605 82287\n19247 63616\n15194 36248\n13212 62974\n33006 61578\n21137 83450\n50182 89106\n54950 64018\n17218 28393\n25590 70795\n16104 79465\n6695 81859\n53832 99029\n32748 86056\n38804 72564\n7399 72353\n44387 62813\n46861 64570\n15877 95481\n75341 80715\n19917 85336\n4430 38158\n55625 72836\n40804 43795\n45416 50491\n27517 65401\n53937 92466\n40757 68152\n11435 85173\n28468 43761\n3848 36062\n40790 78928\n10734 26596\n26347 96941\n25639 94124\n52684 65454\n41095 47790\n45392 53576\n36813 73814\n26518 40070\n33967 76772\n12808 62706\n43675 47952\n42041 83260\n291 42708\n87770 92234\n82136 82295\n9150 15995\n1298 23389\n27122 50518\n10886 97570\n9331 75664\n73238 77829\n6632 45698\n25731 62801\n3608 36937\n11767 83724\n32270 35516\n32630 65821\n6349 86249\n5496 70962\n49684 65550\n24675 27334\n8334 29467\n5473 91959\n3215 74382\n54289 78723\n36175 78173\n52646 70823\n55867 85291\n9135 61210\n17414 63493\n44795 57002\n17960 46101\n28460 37980\n46936 90450\n8792 50122\n36633 98159\n41598 70139\n31214 41889\n50494 72493\n36022 67571\n84846 90100\n5795 74337\n10256 32821\n20121 34503\n71553 96520\n3640 69495\n47380 68391\n9180 52325\n47506 50812\n50444 57994\n56894 70181\n22066 42254\n37780 94096\n27380 46747\n22782 64841\n4707 99706\n14319 44280\n14894 55735\n3783 56614\n64550 88628\n17836 75140\n39986 95383\n67243 72265\n74891 92932\n61725 65241\n4838 19571\n1046 77085\n25213 28830\n2017 5569\n30437 91870\n45189 99268\n19591 69812\n54495 77953\n15093 22889\n12920 37646\n36956 86344\n4309 27456\n69673 96423\n75680 91445\n46581 79853\n63496 82271\n4362 31133\n4701 29294\n29098 30048\n41504 69281\n20234 38817\n54385 82644\n14151 88773\n12683 44303\n10504 35120\n53698 79349\n18238 75807\n89888 96033\n66775 79111\n77489 79596\n40018 81974\n43407 70629\n15742 99800\n20640 67066\n42157 75791\n90290 99257\n42296 87500\n35120 84916\n35656 83008\n13689 80006\n47214 49191\n27757 41039\n30192 53521\n58259 66761\n24671 65361\n47366 79195\n34149 36248\n77585 88857\n9491 92521\n31200 93528\n48341 84986\n7140 20157\n84725 97270\n15225 44107\n40096 55156\n1209 2159\n43006 52113\n11487 24102\n70917 97507\n9137 56227\n64217 91483\n13503 80199\n3631 12910\n71883 93514\n6825 75934\n22310 24853\n8603 21447\n6795 34783\n26104 71927\n63656 71630\n41419 44976\n16166 26420\n55006 73728\n2721 5631\n24996 85191\n42498 62375\n70325 95374\n37355 45164\n34680 47802\n25953 51924\n7685 78136\n12174 46468\n22666 86277\n49309 53599\n69854 80220\n40759 82501\n10103 29671\n66891 69052\n18436 33514\n21444 41910\n10185 46080\n28171 61035\n15942 27130\n24177 58441\n42495 91678\n46509 88668\n37235 86869\n27012 81303\n7928 22620\n18690 37235\n14377 48216\n43091 52127\n63339 77030\n59505 62307\n4544 71931\n478 16572\n19898 96020\n16652 87997\n55623 55800\n53299 82105\n59307 84128\n33906 84753\n10433 11492\n51402 55214\n14987 97598\n11474 59425\n11192 90705\n3347 5264\n18598 95228\n6906 43947\n25698 74442\n21614 51670\n58009 64654\n7944 30043\n34994 98338\n4867 27743\n10591 87198\n29648 56682\n99452 99529\n49024 69524\n2303 99453\n21507 28076\n15941 99590\n2641 96818\n14830 95536\n16162 23699\n23189 54355\n17853 92792\n17329 83450\n11820 96563\n33852 62864\n15558 21911\n4999 11091\n19775 55707\n56468 82376\n50886 90175\n72231 73575\n56121 56419\n39700 90948\n65418 70492\n6828 57511\n17255 22255\n94252 98887\n21579 67869\n39027 94998\n34553 73580\n32249 58501\n5131 18872\n6878 66482\n4109 69897\n801 74246\n54415 90336\n44989 61805\n53176 97073\n77742 79846\n79813 88650\n63424 72632\n9181 90795\n25651 27221\n11777 36304\n75255 79812\n57617 64702\n52570 60910\n64745 85660\n3555 68116\n57987 81371\n3143 38640\n19999 48806\n73529 99775\n38112 71955\n1546 81757\n8425 18228\n93885 93910\n13976 57833\n10472 75225\n83239 93863\n241 76615\n8779 50062\n10830 80576\n3664 83800\n34068 59884\n39600 78854\n33472 59843\n14771 47054\n61334 77463\n1623 93988\n58530 98834\n48769 87390\n14345 27102\n40771 48487\n59666 70270\n1398 98534\n41290 65811\n81915 88914\n41251 77938\n67161 86392\n59527 75819\n29661 96115\n25430 44366\n83849 99870\n85608 95254\n5273 27497\n23081 89423\n12786 43211\n18302 72660\n69629 92927\n48114 95061\n29305 55626\n39089 71093\n7456 40344\n31889 70798\n8146 76523\n377 16432\n53959 95597\n16953 18236\n20439 57474\n19830 69255\n49015 74176\n84141 96722\n5916 46923\n23893 75914\n12970 31024\n19492 68323\n77375 99670\n14538 81934\n6537 12169\n15527 69621\n13570 45132\n53193 75680\n64015 95677\n36635 75797\n78079 94423\n19756 91881\n24737 51783\n42700 76369\n50164 53089\n1081 75980\n15456 24327\n2215 26252\n68446 88420\n30226 38713\n55609 59934\n1163 37891\n28998 63535\n62049 72067\n37684 94142\n13879 41037\n5917 38333\n41968 71888\n54675 74908\n32950 55930\n24862 80542\n37199 60681\n10459 83152\n47303 69689\n17606 63168\n21197 35658\n14663 66029\n56726 87995\n28892 81300\n88028 92132\n56422 57248\n12218 88167\n11644 15538\n21137 62343\n4416 60243\n21806 35928\n14465 32596\n10050 77171\n42216 84543\n4015 29746\n32970 57117\n34331 73401\n68303 68475\n23236 89969\n42323 70069\n1436 76414\n19985 44300\n68946 70198\n74742 97346\n32514 87185\n5517 24724\n46711 87475\n76843 89954\n955 79751\n23556 90780\n38844 70806\n16203 42505\n61029 62290\n46727 86420\n46296 49739\n36932 40547\n29290 77122\n30535 49464\n59063 84649\n47379 95046\n67931 91982\n48809 78399\n17913 65431\n11307 79650\n68330 69418\n35435 79910\n64123 83287\n49205 91387\n416 18904\n32998 83776\n31568 59611\n34662 81502\n18829 41336\n8085 10750\n5274 54652\n39697 84599\n35109 85409\n35465 44444\n44471 73999\n16985 56555\n8628 86383\n43681 77015\n43640 94187\n27763 53371\n15793 89064\n15042 51570\n29206 64560\n7371 26775\n84717 94592\n81036 98756\n55189 64216\n60966 79132\n2519 15071\n44766 47645\n22715 53381\n35754 76208\n61366 63124\n9543 55401\n17715 92757\n25646 97690\n56803 85664\n51974 92652\n36861 99555\n8573 69501\n17327 95760\n66369 90142\n16117 18577\n47041 75835\n16229 42307\n4004 47171\n17819 27298\n51730 55084\n31812 36411\n9345 25427\n57112 86076\n96806 97781\n22302 89667\n40164 72712\n31658 32456\n77950 91998\n90770 91662\n50487 99032\n19859 90393\n45604 56571\n50226 85250\n20777 52358\n16787 66764\n73195 81427\n36522 67069\n28262 91617\n38396 68037\n37261 59386\n32630 96255\n17719 98737\n35271 75849\n8854 21076\n90498 94357\n20539 46035\n6972 28541\n85902 92552\n69499 99374\n1572 98892\n54503 55222\n49354 77715\n12974 93036\n17889 76408\n63999 78657\n10714 71148\n23197 26976\n50046 67655\n29144 70717\n35322 44362\n45589 80214\n13698 69316\n5540 68842\n28227 38592\n37599 54230\n19409 19660\n5940 18885\n50075 51105\n40407 60257\n39119 82731\n28903 61482\n62251 68035\n82141 94185\n86139 88774\n18702 39631\n62193 67812\n64639 81883\n62037 91702\n84224 86836\n15201 63847\n43578 96557\n54264 99522\n7310 42637\n5975 19052\n11463 44213\n52154 60121\n24910 71494\n5017 25664\n43745 94380\n22920 34050\n63325 97263\n56769 78809\n58543 91593\n75503 90496\n15445 43900\n50003 69142\n15805 85845\n83737 97235\n70027 81293\n21012 43799\n81052 90461\n6161 84317\n43816 69029\n44709 78102\n66160 96017\n50950 84493\n23139 48231\n19116 82091\n13759 58487\n88244 94510\n12151 85284\n65894 97923\n27139 59813\n84434 98343\n25768 51159\n56632 95506\n52932 78386\n27012 31941\n54313 92803\n1878 27073\n66157 72227\n57161 66778\n45193 59273\n12708 33690\n20184 38919\n25710 94387\n29018 59490\n4093 86032\n97192 97304\n10537 22531\n66310 88366\n13161 33161\n19621 79587\n19752 37449\n34569 44089\n32662 68236\n38408 54838\n36608 90716\n4400 35243\n73181 73221\n28760 93847\n15449 91638\n75789 98181\n31380 54172\n55319 61176\n32903 40950\n7701 23052\n19427 98746\n17318 72323\n28755 51023\n35731 84474\n3877 54436\n11953 24035\n4476 7834\n84293 86836\n13115 23102\n7142 99425\n66636 74661\n15694 56549\n14945 67575\n11669 79081\n4610 11502\n2867 79009\n19766 33973\n3718 59799\n59144 94120\n9859 82059\n78373 92064\n55235 95479\n10718 23361\n36277 76078\n39688 62325\n42376 45119\n395 54091\n14773 96637\n74000 88464\n51175 71253\n42006 92751\n4262 61935\n8691 14132\n2157 45127\n85549 98162\n73989 75293\n26122 31320\n39136 72932\n8617 37833\n1279 74615\n7372 82321\n66511 72154\n4880 99370\n21586 93459\n60009 80237\n18098 26491\n42018 79186\n28778 51581\n27741 63452\n1895 42915\n38779 88164\n30479 92015\n15417 28565\n3143 96413\n66462 81698\n44988 87316\n74407 81519\n45699 77724\n17066 50773\n16113 23120\n34086 43447\n31973 62621\n53514 66303\n56414 69759\n3067 32044\n54002 92700\n38071 97359\n39466 53997\n24053 55205\n40544 56957\n34404 54964\n24500 46234\n35565 94878\n17321 76807\n46893 95208\n912 98490\n43597 79134\n22771 30080\n30327 56490\n49813 71731\n7623 82269\n7730 37238\n28235 61397\n4929 99671\n32635 48830\n16221 93856\n48767 64864\n58254 95262\n11587 80258\n55396 82476\n29398 65250\n57144 96841\n62918 74390\n3665 60308\n2704 4185\n63793 98676\n3755 49479\n87811 97976\n13265 21944\n11826 64844\n48426 76123\n17116 49065\n3584 66680\n15948 47260\n32891 37300\n25887 61904\n31785 49564\n56769 58667\n65670 68861\n15676 54528\n44211 55141\n18441 86811\n12154 52033\n43535 64294\n6227 58684\n88019 92008\n62104 83000\n36812 57790\n80398 93377\n32819 86123\n58351 87328\n26268 45269\n24477 39237\n47040 73126\n28172 64349\n22440 84807\n34625 64529\n76112 91814\n9745 19813\n79463 99615\n2612 41302\n83464 99600\n17761 78433\n59090 69380\n21012 59604\n505 30897\n16335 63503\n18557 36033\n46729 69909\n2706 91975\n38719 50279\n56283 61733\n93571 97920\n8399 55946\n52284 76205\n36207 95190\n12800 84579\n10171 24176\n52384 93988\n6646 83995\n23169 67651\n74311 78830\n37165 52950\n41601 48389\n47042 48490\n30877 35658\n58249 86261\n8115 84989\n56228 96696\n54228 70932\n13330 84085\n44004 85470\n60489 94197\n20387 52985\n32902 79902\n36466 36627\n40387 58385\n27877 98526\n73233 79202\n71992 97879\n21497 69019\n12268 94807\n9542 26430\n74440 78617\n20045 86213\n24899 98159\n72440 83283\n7184 11161\n6511 8916\n16268 79549\n44581 64745\n75603 87864\n9181 51057\n11909 78448\n40064 40896\n40651 83799\n29098 29625\n10508 17382\n69193 99232\n18231 91338\n72971 82799\n13939 49048\n65468 72938\n75436 75511\n6875 27164\n44686 47847\n47875 54891\n38067 81871\n20895 32699\n22378 72139\n3300 32135\n8435 16028\n4972 28613\n63786 68969\n8524 50401\n69393 94128\n24449 89702\n64764 75103\n66939 79248\n30725 98206\n13045 98313\n13343 18621\n28158 55740\n11151 99590\n49946 72143\n14656 98024\n70917 93988\n27808 77081\n11296 74627\n10439 24264\n36085 45917\n14291 91276\n19301 64807\n45183 53083\n2924 21716\n27354 85218\n33553 34766\n49481 75199\n31055 41247\n5047 99622\n6228 14847\n1517 76884\n37729 42502\n20384 47833\n69767 76412\n30672 93205\n40259 55501\n3714 39291\n24728 39416\n24484 46151\n9667 29620\n12933 44628\n58640 75890\n22511 58042\n14671 97321\n16138 98926\n56987 67066\n33864 97597\n73604 98581\n31820 69385\n93776 98820\n44792 74373\n54124 97078\n4838 34058\n25248 61466\n55273 96126\n31485 65920\n12003 71015\n52828 72769\n58150 92655\n19803 80512\n5416 31199\n21124 48687\n12261 19351\n53404 87305\n29859 47308\n4105 34811\n2344 7326\n15430 87040\n63302 72575\n24750 61137\n17739 17740\n38029 69222\n383 17624\n37257 93760\n57110 61819\n38132 87653\n64993 80851\n3843 26415\n2894 5326\n4040 79075\n18142 64321\n56605 62339\n2180 42695\n40475 74991\n32942 80819\n44093 73941\n13260 79844\n2792 77031\n43124 46773\n765 95357\n27006 61200\n12828 87726\n51171 66876\n35347 91847\n48050 78976\n1271 9261\n24853 74966\n2691 79816\n55305 73803\n57855 75359\n63501 70630\n14815 85750\n53795 57808\n11495 93695\n58695 90387\n10255 55811\n19680 55838\n37853 92643\n9414 68027\n9856 84910\n1661 20103\n30749 37573\n87807 94492\n29524 32926\n494 60550\n40041 61892\n13234 52549\n9330 57402\n3562 6446\n35954 77500\n9679 79196\n28083 70032\n44126 71481\n64948 86069\n33178 60952\n61900 68055\n96 69783\n21511 63551\n6366 19139\n40092 85639\n19538 29985\n12984 69483\n29617 56543\n14912 65084\n11675 63652\n29716 74514\n84827 98595\n78869 91555\n53677 61431\n25808 87656\n2274 77401\n40190 90442\n67453 72938\n58457 59549\n54128 74358\n1196 81323\n42147 49232\n961 20160\n25871 33133\n44886 48054\n14891 96634\n30811 67688\n75107 96365\n3729 55884\n19545 47383\n49539 55435\n4053 96089\n46092 88797\n10621 97756\n2680 75461\n79763 84487\n36598 39782\n62508 77976\n57925 72641\n19633 22648\n2962 75562\n20252 40424\n29784 88591\n54824 93494\n23420 82790\n40945 50180\n20719 84647\n9003 20555\n23889 66202\n45339 57394\n4513 64451\n24624 69421\n2215 25279\n25102 70167\n27363 71229\n10879 73314\n3680 93531\n1517 26202\n761 69943\n25216 75383\n63918 90490\n42547 44459\n7417 81366\n83616 91580\n57090 98019\n21382 90246\n50061 72127\n82715 88463\n47711 53695\n67594 88053\n41490 52111\n31587 98083\n64991 65193\n58318 98160\n47674 74310\n27766 40367\n36342 97830\n6626 41806\n43319 77980\n72017 87644\n36662 66601\n20233 32470\n46941 50382\n15221 96841\n2511 26480\n14305 97997\n15958 66655\n3802 12185\n39573 83444\n90616 94776\n18309 90725\n10650 73313\n214 52077\n20126 42632\n25704 57943\n30805 70603\n16797 30421\n16165 88013\n14445 53039\n51254 59672\n42780 70057\n743 46110\n38804 46978\n16379 67396\n40111 88542\n54776 77420\n33726 41827\n2839 56086\n8293 32831\n14326 59174\n226 75131\n36458 93860\n12274 34418\n6581 32779\n56475 80338\n56215 87726\n9679 56151\n68283 73403\n20349 69199\n857 10333\n41221 98191\n75029 82125\n12054 92711\n34245 45039\n4326 13943\n30419 34685\n62654 64800\n77309 84188\n62613 72500\n31440 80968\n25540 97585\n7151 92397\n25012 99343\n23666 89814\n23085 95206\n47275 81590\n72835 89649\n33880 64835\n9632 43848\n65952 73934\n44820 88437\n74858 85692\n4901 90472\n46591 79462\n46406 49631\n5483 34937\n15744 68459\n51791 82479\n42639 72999\n12140 73210\n27019 93393\n52794 87704\n19508 69599\n19263 38926\n26746 36937\n24834 66880\n15667 71257\n58850 90550\n31011 67354\n360 25970\n74051 88404\n39218 41444\n5579 16447\n41623 94357\n55097 60203\n23093 67906\n80402 85744\n38765 39824\n11344 74442\n44132 88272\n4890 93405\n3256 21289\n98315 99582\n1270 9181\n61638 75376\n43867 84271\n3321 5660\n20442 41748\n27503 72691\n8414 85620\n50207 70897\n54326 62825\n57342 67450\n72645 82347\n48696 91178\n26259 76883\n14445 95427\n2007 82023\n58444 81155\n46472 76339\n33789 55611\n25910 58327\n1526 29144\n27052 29284\n28554 50500\n27328 59301\n49517 63525\n55916 96579\n41728 50969\n66900 83213\n57219 98122\n32376 74119\n12601 43682\n52362 91860\n74884 75158\n59422 92275\n32171 38536\n81211 95015\n23024 49474\n10901 25097\n28056 89477\n46959 77273\n43558 93451\n20593 55042\n87194 94359\n24198 58939\n47515 64226\n41951 89786\n81768 86659\n23963 40873\n6490 52266\n1869 60152\n30361 37027\n8168 96122\n28822 29105\n52543 55136\n20642 95038\n38773 46517\n33380 94743\n54780 57213\n7079 97747\n58338 71689\n18779 44757\n39034 80110\n61127 93645\n68819 76032\n69009 78952\n22849 56949\n16448 35549\n55409 70272\n26844 69775\n17803 98453\n19443 55816\n3828 40246\n30463 57094\n34232 50192\n25755 93974\n28549 90629\n79512 85481\n86826 94905\n73454 89366\n62203 94125\n18814 39688\n20778 95555\n23815 52151\n13699 76370\n64099 78242\n44790 71388\n8410 49902\n15277 67584\n27278 45785\n50738 72382\n35074 82715\n39164 83767\n23708 60317\n33814 64212\n51154 67215\n14585 55840\n10389 30111\n97037 97560\n1961 42917\n6254 78737\n38085 44142\n42200 83315\n15533 82056\n38930 63539\n16731 99657\n17009 52415\n17050 40015\n14439 92373\n62169 74099\n51735 78219\n22325 95633\n5410 64159\n33127 79971\n21630 92636\n6512 64000\n63208 99087\n42474 94464\n18740 49836\n5711 15013\n7240 84453\n29415 95930\n55160 58298\n26679 83704\n17366 39369\n21001 73375\n56891 69810\n50049 68365\n9617 50286\n5327 71047\n1312 61955\n37992 47675\n23959 82623\n14379 85653\n41544 70682\n7934 35757\n25166 73584\n11342 68624\n88228 98166\n7400 55244\n66725 91607\n9562 41218\n15911 43225\n52240 84199\n12720 86614\n50257 89718\n6086 69841\n34216 54267\n54024 95881\n67468 90057\n16826 89481\n15031 65402\n33667 88012\n30971 48644\n40002 75718\n57076 68607\n52465 57563\n61824 71250\n11474 87308\n10939 33919\n26522 74573\n1888 90646\n24786 66667\n15157 54322\n24538 48233\n9512 85786\n35599 37062\n31467 57711\n59067 85782\n24977 59988\n63025 90715\n47749 82945\n2979 84021\n10641 67164\n67252 96367\n64507 88155\n535 99721\n19260 61853\n57336 79168\n17458 39582\n87349 91149\n51503 99064\n65843 67553\n13443 73198\n7916 43517\n11994 50984\n1144 48791\n37641 68128\n36628 51909\n10980 23729\n10970 14915\n57353 78537\n2728 65782\n35748 73273\n48517 88370\n24383 76313\n6128 89544\n63740 67375\n32306 47419\n3123 68727\n3300 73135\n10047 66844\n26161 83323\n28921 72190\n2058 21374\n11235 76067\n4823 4919\n41510 99792\n42260 85477\n44637 89887\n30644 96424\n1496 86367\n13148 84642\n56259 67420\n47944 83229\n5651 26021\n65550 95889\n2895 16081\n34402 73611\n44563 66616\n30010 77838\n15757 40178\n17942 46227\n31627 60615\n67271 83249\n13434 62589\n17715 29430\n1247 69560\n6442 8323\n28752 88482\n9278 69424\n50204 50460\n4867 19329\n4835 43876\n33725 96365\n22961 46626\n13535 52916\n29668 62319\n16817 49393\n60049 88708\n29422 76015\n11972 17144\n20581 23418\n1697 17157\n16411 70224\n35507 94970\n11640 86590\n29504 64943\n37519 53820\n74011 94840\n3826 13652\n24178 72580\n68046 74292\n635 77843\n74366 79922\n2949 64038\n21500 68819\n18602 96861\n42525 66089\n5787 29366\n11235 92329\n46596 50785\n88180 89478\n51553 95616\n13255 36703\n9059 66126\n41190 65520\n6316 91482\n55258 62034\n39111 52160\n20467 81951\n24532 69912\n30817 46657\n6402 8120\n18103 89491\n66321 77199\n70376 71911\n72311 77758\n24961 62960\n26171 47491\n25418 59343\n3498 52455\n11599 45459\n68135 78891\n36562 76712\n6476 19712\n20780 66402\n17745 73595\n28710 86621\n12042 75768\n9723 95418\n45738 61813\n2073 12271\n29689 72022\n658 63568\n4825 53693\n4510 62129\n53266 98396\n67042 77845\n33313 59798\n18384 71907\n69026 89267\n10282 38316\n8613 9759\n3469 47232\n29038 46082\n24022 29133\n84403 97041\n14885 51928\n8650 75296\n55985 89894\n5317 88439\n11544 45514\n13842 56447\n22810 53328\n46769 50225\n35563 71779\n25604 69954\n2729 77804\n61934 63713\n50643 60227\n17351 76960\n22290 86310\n41790 81183\n36106 93611\n26828 92576\n1919 84767\n7785 9489\n2881 84297\n4522 29369\n28119 97274\n15147 46223\n21310 90131\n9872 28407\n36481 39181\n60901 96047\n19217 74787\n25136 29901\n44197 83395\n13870 37776\n13428 82994\n83589 96439\n23669 61909\n25186 29528\n22001 26878\n21230 55804\n9523 37542\n10476 33376\n45578 66439\n70878 94185\n20367 80480\n39045 40242\n27018 83323\n61453 87795\n60399 64216\n49229 53968\n25260 93612\n39431 63386\n45367 61702\n73623 78928\n19781 24648\n78593 96729\n30959 97166\n65871 68486\n50116 80014\n58612 99068\n33268 66523\n4738 87449\n10570 51945\n33132 35114\n31988 57296\n8891 13388\n7113 52373\n76053 90603\n33734 96881\n47046 96915\n51113 82942\n29933 92273\n53193 73072\n85210 89511\n88775 95995\n16115 46025\n84997 94319\n2528 77456\n10269 16143\n14685 61005\n37330 52729\n31578 57942\n10723 60412\n68356 84104\n37212 67251\n93920 94530\n5891 15760\n1929 60371\n51970 75913\n26081 69145\n3671 5323\n70109 87689\n52667 72846\n7338 79087\n60111 64636\n11464 60292\n19460 96898\n59540 69493\n48419 75170\n12193 82770\n69135 88352\n6469 23881\n68654 95325\n11379 16475\n79525 98071\n22614 74631\n17542 20108\n64286 81133\n30174 60878\n43346 88657\n4823 91410\n8386 42140\n57433 67549\n66874 86980\n9797 77345\n22478 26627\n2315 28839\n25544 97767\n32323 77532\n72866 74271\n7572 41897\n16417 17964\n54773 67728\n18174 83467\n7172 83342\n3761 24220\n25478 35874\n13955 44396\n12998 50748\n22431 93841\n37548 93418\n37194 39963\n51963 59459\n19161 41501\n56614 93777\n20636 59978\n75092 95560\n49515 93774\n44248 60300\n9146 17830\n41759 67598\n52819 83197\n41056 61426\n15633 33860\n31404 97071\n61764 86494\n13688 83844\n33303 58670\n5666 25987\n56097 89753\n19258 37326\n10722 79284\n89355 98897\n46497 84435\n21106 45381\n44749 69514\n35841 98388\n35019 56925\n45349 53251\n4006 57313\n90588 93672\n59181 81090\n49464 98250\n11251 88022\n4163 23151\n45690 69396\n35858 90085\n13592 41192\n62417 75983\n32240 82102\n27019 61490\n6505 88865\n27514 53286\n3962 23588\n25541 71843\n11715 35280\n72315 77462\n572 45267\n6428 65682\n48708 64009\n2291 73108\n32857 86543\n436 68328\n32303 91323\n11513 13229\n14364 88258\n21221 94045\n15595 77593\n4678 6920\n81125 86346\n14180 65963\n45855 96573\n41580 58240\n72296 78715\n33058 84590\n9596 57562\n47459 76496\n36806 85639\n31593 63284\n16110 18690\n59911 75487\n2845 77921\n1041 31032\n12260 83421\n35792 96803\n11498 96790\n16489 82073\n240 60114\n4994 76721\n5066 50980\n44883 71019\n67447 75534\n71271 90567\n30178 39487\n11255 81830\n39768 92545\n7905 35693\n11825 24192\n21823 91539\n49914 69440\n10482 19688\n77236 88463\n10591 14373\n18404 19902\n56964 93788\n23709 50316\n39901 92135\n7438 46340\n57557 65407\n86242 98418\n32727 35344\n28973 76670\n69691 91186\n11060 69950\n27376 86877\n15889 26875\n46673 78785\n35607 90286\n73649 94702\n51171 86737\n39440 58484\n3702 67388\n12535 43872\n53060 68213\n23460 89798\n44686 70897\n25518 28578\n18474 23073\n57641 75245\n23329 81588\n4783 40636\n8852 33097\n9652 81746\n67876 84478\n45313 88898\n23922 99081\n12274 90418\n57654 97005\n43588 51819\n16243 98142\n79267 86703\n55199 79066\n42574 85539\n73135 78238\n6886 80838\n49037 51967\n13677 83872\n4421 31814\n70609 91023\n21881 79995\n40403 86407\n22801 48533\n47029 74772\n21542 85186\n9673 51774\n55260 67499\n11586 28256\n49503 70057\n52929 89155\n25196 75968\n72860 79844\n28673 35607\n60134 92102\n75991 76670\n41008 60679\n63517 91248\n75258 87494\n45507 83777\n64778 98034\n5280 76375\n2411 15821\n69169 78017\n71143 95015\n63352 67949\n18264 26969\n12620 63163\n66293 85480\n53026 94016\n13861 73424\n79550 98779\n32777 65073\n32417 81994\n39602 86639\n41651 50757\n2556 55862\n15516 32685\n27365 72612\n2173 91342\n13052 68475\n46054 61664\n25107 89075\n19300 66770\n8099 79730\n27204 37445\n35767 47985\n20973 83956\n15332 31424\n15640 61368\n77400 80376\n13298 15706\n132 86009\n30809 43868\n47484 62126\n43313 66815\n15835 64279\n33541 50401\n95380 98708\n43076 50157\n33256 43065\n55784 61057\n29808 82201\n32601 98558\n22733 34380\n51911 89433\n5739 79409\n55901 56238\n27606 67392\n39326 89644\n35389 42537\n14858 85820\n55773 62105\n44622 88976\n81379 82013\n8136 92580\n8769 88597\n14779 51220\n24639 33860\n10400 96781\n19103 19480\n25659 68015\n39868 58075\n18630 28767\n23652 47147\n79307 88626\n10823 61551\n7035 86680\n62577 98329\n6340 63870\n4857 6863\n1450 11816\n63547 77966\n595 90168\n18101 35899\n10257 40380\n48970 71552\n251 37277\n22458 62541\n34548 37317\n21140 55722\n26604 85387\n31899 97507\n33654 34253\n19223 94251\n2170 55544\n1321 81837\n37383 54392\n9020 56293\n7265 70509\n65802 95781\n15380 33394\n65381 69278\n19345 68989\n768 47244\n10707 91521\n5032 51532\n70160 90405\n15744 93472\n25770 37508\n38882 75040\n33013 71710\n23672 42659\n20725 76064\n9288 12718\n12272 43951\n50774 77107\n46673 92053\n30932 65879\n22796 41059\n29667 92605\n20042 35361\n24144 56738\n28899 50251\n39197 39869\n28641 75322\n17589 73516\n82496 87912\n59673 63697\n2928 51583\n45961 51971\n71131 91052\n59448 70055\n24776 41318\n55337 83663\n34312 36264\n9531 75639\n50666 72279\n81506 89074\n70430 89462\n10643 11473\n80336 87647\n65900 91962\n60307 88060\n2726 17792\n42989 61927\n16953 34617\n27077 98659\n31764 91267\n44180 56908\n82939 83338\n47800 63137\n80915 81527\n66214 98100\n43360 77550\n26793 51473\n9571 24157\n16329 53227\n80506 90999\n50332 92274\n21079 56099\n79501 89104\n44459 52586\n8223 70520\n60639 91334\n14117 37901\n24419 69097\n39226 50025\n64312 97015\n43879 76171\n32662 68010\n37642 51669\n8888 33936\n9530 94512\n70058 89326\n43695 85471\n26164 42941\n47627 51062\n53996 88010\n37177 54569\n12726 26392\n69192 75135\n69265 76090\n47243 86946\n15520 26630\n37786 60114\n1723 99441\n12307 34179\n9017 72242\n4385 37361\n16409 52134\n66772 78544\n10723 83877\n34176 69850\n4205 75715\n10879 78106\n46253 78324\n47580 52408\n42369 48124\n18119 37408\n15543 52567\n29071 32805\n80654 88545\n15634 89864\n19816 41787\n10296 17733\n22616 24205\n50271 88003\n28659 95937\n41338 48082\n8010 67499\n18884 54589\n4770 81492\n24424 32516\n60235 64044\n57285 80447\n44717 53315\n15662 86292\n15399 73440\n47774 93855\n38487 86035\n29768 47584\n6318 87464\n4136 94904\n58383 74365\n79433 93963\n6008 26019\n15379 94532\n38685 44416\n54312 67760\n34972 40447\n70703 75350\n4117 79198\n52376 64697\n23825 40372\n22406 69676\n42736 78643\n30776 31774\n2730 41840\n77126 77644\n30705 37455\n12394 53083\n1350 38604\n12266 99754\n28297 60225\n8203 98348\n82692 96361\n11970 95478\n45665 76311\n32198 52670\n1204 31509\n45959 46989\n21089 82125\n59002 69878\n41139 57882\n12791 83659\n20730 94130\n68174 96579\n1454 78860\n27845 49530\n42652 98350\n12853 71887\n14787 89466\n15128 67573\n18378 48000\n17864 79663\n18782 36279\n15223 86167\n32796 77592\n16902 95870\n18362 54717\n36093 49807\n55586 60515\n27691 31946\n42172 82073\n28193 33384\n10807 20491\n248 13000\n7206 67678\n23814 85209\n33943 84263\n20889 41278\n17175 83741\n4880 81855\n30937 62423\n44962 66547\n46649 65328\n26179 85994\n61751 83553\n57963 75950\n39566 57380\n43621 53004\n39852 62188\n56479 79633\n61268 74545\n62512 68817\n41405 49082\n22871 86075\n59615 89042\n39242 49682\n66166 77361\n4996 93260\n32464 71850\n7775 90578\n8797 64283\n17531 25599\n20906 78413\n67371 97427\n39354 42125\n15249 90376\n41559 68359\n80813 98330\n76867 91830\n33562 42460\n11949 91286\n35892 68324\n19385 37173\n60211 63231\n44468 92171\n34839 37824\n11160 14251\n37561 48013\n49895 91584\n661 53301\n3070 13216\n3572 89714\n3890 77958\n25028 42196\n12997 36899\n18493 89071\n23461 56820\n77786 90755\n5888 43590\n10334 98641\n72778 75176\n60675 78411\n33268 42198\n89111 97630\n41165 82430\n91562 95663\n35161 41136\n753 81433\n33347 80530\n47026 62530\n25570 83658\n25191 75406\n31182 48732\n6590 98456\n989 59657\n32247 93428\n70600 96819\n60249 92795\n59055 70299\n55848 93333\n10540 66639\n4707 86676\n93815 99961\n22474 61222\n37768 63776\n30148 77568\n57 99040\n78289 93982\n59925 74809\n81225 99020\n25588 80294\n48217 69384\n52124 72029\n96859 99111\n4117 39663\n78715 92244\n86796 87626\n10750 91869\n11308 91020\n93368 93914\n5551 34901\n46084 93273\n42088 85195\n18447 65988\n45134 67282\n42856 94776\n45764 47617\n24781 90279\n27612 29177\n28747 31354\n8080 68632\n33568 38945\n7265 36020\n31842 50681\n23646 37240\n47718 52138\n13981 97943\n95774 96025\n30329 89748\n12890 60222\n6666 64003\n54360 85645\n17824 20122\n222 15521\n1256 80541\n69534 89299\n72122 80412\n15590 28192\n29682 90741\n31464 57688\n1074 50929\n25060 32228\n37430 81323\n3745 57991\n6522 14767\n3127 83940\n24019 42448\n47311 78913\n12803 51330\n57504 95475\n21966 70782\n46497 75865\n63941 75357\n28367 79396\n5523 73069\n61049 79636\n63287 83613\n23295 49060\n24899 83024\n11327 14800\n7644 92294\n2080 96320\n57678 62097\n14056 94770\n76231 82797\n74077 89982\n2614 95477\n66664 86927\n13027 50808\n32385 79050\n18594 71814\n10462 54103\n68436 81884\n16380 22834\n44229 56841\n3552 51402\n14882 90859\n11867 46807\n55209 63696\n338 74452\n21313 64175\n11883 22892\n7739 12211\n3099 63111\n25967 55830\n27061 31057\n24700 88836\n49271 61010\n46808 63077\n8528 99687\n46128 72678\n53429 57511\n23379 90575\n19224 99870\n49215 86043\n14709 45070\n55549 97997\n32904 79010\n16084 49579\n6852 43156\n73845 74936\n14367 37367\n4674 41686\n83894 89696\n18230 21853\n88460 94228\n25531 92121\n61447 76160\n69833 81979\n58897 64612\n3595 62852\n60112 92689\n61251 64495\n28893 67565\n50492 63177\n41456 96129\n19931 97589\n22598 86651\n12060 96772\n5217 93475\n53642 82010\n83378 92661\n42561 89359\n13790 95590\n72471 74707\n5607 17571\n11311 39355\n10396 26156\n71211 85281\n10672 79047\n76014 94487\n20697 99586\n18201 78605\n41181 89709\n18924 51811\n6884 70219\n12317 16150\n24711 83372\n32504 58322\n46480 98439\n37090 45281\n8506 34744\n26660 82788\n868 62406\n10028 67209\n31207 66714\n75446 85860\n44901 76972\n40709 79679\n36593 86187\n17570 80324\n33618 95703\n60663 82193\n35519 51271\n25889 79439\n6921 57509\n70440 79342\n47925 53039\n75741 94786\n80628 84952\n26287 66304\n38834 92165\n19244 75854\n27618 76454\n34105 53830\n51747 65482\n12408 86162\n72 84440\n54608 96572\n8941 75540\n83881 95031\n39481 65951\n54722 94940\n33852 57955\n32506 98915\n56507 90740\n25013 34260\n20489 84902\n22601 38654\n3848 27495\n2580 80419\n22837 90662\n39469 90685\n74434 96459\n8990 13545\n84962 97932\n31395 86375\n61422 64975\n3875 99459\n13611 62187\n2432 85906\n5491 64384\n16766 36102\n72801 86061\n17787 26381\n58092 68800\n78791 98512\n42654 64529\n23090 37803\n2984 59733\n52606 66957\n57425 82096\n92633 99676\n17416 18416\n8045 22349\n41742 62515\n73366 81077\n68236 96694\n31681 55321\n55647 63793\n24496 82736\n73984 81695\n1765 21894\n23069 96029\n5567 22805\n21495 63645\n40778 54612\n58207 76208\n9543 25192\n22925 83679\n52550 59001\n33431 96296\n75155 85904\n50653 83456\n6294 72067\n49521 76574\n5297 91660\n10417 51550\n43102 75049\n21491 65420\n52524 86514\n48958 89599\n18014 45447\n10664 39318\n34250 74968\n134 94203\n57675 86680\n5526 22523\n37271 79535\n11362 34017\n15312 56026\n39171 76424\n69315 83951\n12819 68963\n72832 74065\n32973 33211\n13033 45765\n24372 62160\n59856 86075\n13136 84145\n58202 97927\n44131 64753\n69573 87264\n27701 74048\n18260 50179\n2979 85528\n20834 44033\n30830 49194\n57831 98414\n17716 75999\n10635 11469\n24189 29447\n9651 86815\n20809 46444\n39462 87421\n20952 29527\n7459 86629\n39231 89921\n68815 93719\n876 60540\n44681 66081\n27016 53307\n36615 51204\n61401 72780\n202 20811\n32430 67365\n271 88662\n26498 60610\n4790 35152\n15966 97111\n2756 54981\n38311 90183\n25581 93066\n25284 89950\n3405 88198\n79411 90982\n57516 63475\n73794 92480\n11071 55566\n367 44975\n47700 64667\n35741 90483\n11223 81187\n58001 79140\n21237 28160\n18922 92764\n35026 93886\n23770 66478\n23574 27785\n63574 82016\n23818 69483\n59572 93835\n55172 81429\n27506 93566\n35883 84603\n610 78979\n41743 96462\n48996 49939\n47733 75990\n21152 62175\n42557 52579\n412 10409\n8406 9135\n73713 99436\n19202 81670\n23910 80988\n71547 84283\n19436 98944\n68179 91484\n59559 72904\n49467 60364\n24691 57982\n34096 98402\n26410 27535\n82852 94839\n54941 95577\n46939 50664\n13607 14116\n44913 79824\n7873 95571\n15085 99402\n75664 96200\n62363 93620\n5583 80984\n24857 94613\n9296 16594\n45524 67722\n65354 92766\n22214 91525\n63646 85546\n45013 65222\n8748 30179\n23453 45820\n42793 85220\n54512 85486\n57993 58454\n13519 88800\n1497 62963\n107 50606\n13313 61185\n78876 85105\n57184 93104\n52221 75596\n26606 29908\n76492 98630\n31867 41675\n341 57628\n27700 49545\n60962 96299\n13515 34669\n999 95342\n16481 26150\n68535 82827\n28964 77984\n55968 90737\n25562 89449\n20847 58175\n10035 79673\n3870 65746\n19247 74408\n17560 83579\n41306 98577\n51664 67999\n21757 34788\n15368 47986\n53788 74252\n9873 87301\n22257 52589\n22941 36528\n47576 47885\n55624 72861\n30031 37900\n35897 73272\n77468 84530\n70668 80187\n6009 55033\n80674 92191\n66242 91888\n47493 91824\n17117 89684\n20656 49970\n65858 96840\n70477 80111\n58304 96066\n83154 84757\n7415 55233\n86978 88739\n2460 66814\n17040 24601\n39847 84083\n4259 66624\n25751 87326\n32950 97007\n32083 33993\n20995 42985\n23603 73285\n12679 69607\n26915 49939\n15109 71467\n31412 46135\n30197 70478\n21287 80624\n6834 81875\n69658 97474\n72507 95639\n43796 93477\n13394 75358\n61204 82493\n68585 89480\n66635 79283\n40592 83885\n46425 87936\n33943 98964\n10910 82096\n3519 41276\n47146 98090\n23980 89530\n21580 46065\n9713 95570\n7122 14195\n44913 61933\n20626 21797\n35376 60246\n4538 49297\n83454 85600\n21095 31717\n39295 46923\n50529 97357\n7939 95386\n66018 88151\n46974 50257\n18773 56341\n2974 4007\n26765 86652\n5251 25311\n41573 74116\n83515 87391\n10267 87402\n60734 86277\n80728 99879\n71392 90896\n58399 97683\n34356 40276\n50767 94466\n58185 92494\n17372 65724\n1457 56853\n9579 21308\n71677 86406\n57034 91661\n40683 92167\n66301 89421\n4087 72462\n66324 90435\n19171 31479\n72210 97140\n36700 54140\n34314 82059\n48187 98973\n54851 59291\n18548 58879\n43005 85420\n20609 35873\n25890 39737\n15205 30328\n13005 82702\n24138 46839\n32672 86288\n46439 47209\n186 10574\n21133 86146\n83934 91040\n14146 62539\n22679 42694\n74972 80382\n39135 44278\n13739 64644\n54774 60941\n29453 80207\n2259 90934\n1619 51795\n2811 87667\n6034 49534\n48096 79766\n16685 39129\n15999 23850\n33229 75079\n10215 19400\n65901 91140\n22963 31976\n31448 71477\n24677 67511\n67292 76122\n40288 40337\n1414 20248\n54592 65143\n10858 69473\n87593 93681\n22371 95507\n76230 78738\n19367 51779\n41821 57852\n62074 87149\n37034 72287\n898 27499\n19281 71556\n20446 54049\n7458 87268\n47403 53704\n60382 66979\n20259 42750\n10674 15428\n23396 27560\n3113 45795\n22043 38217\n9937 61046\n49155 96431\n46732 61766\n14318 25744\n15840 46117\n27494 70262\n27777 77113\n4557 5647\n53896 96085\n54229 86219\n49548 94815\n5021 50461\n42330 78550\n16131 22075\n47683 71549\n4685 23983\n30199 63314\n283 90325\n26283 39072\n61995 95830\n97670 99521\n49388 91958\n17345 83589\n38253 95863\n7541 41164\n27577 41419\n42782 97161\n5 81543\n68666 72158\n46408 96906\n73195 89503\n38302 79950\n69521 88145\n20832 81412\n64771 80020\n27980 58303\n3097 30137\n17508 75886\n27724 69281\n1958 96884\n57709 82486\n19698 24093\n14802 98565\n63249 71562\n35605 87745\n58701 96469\n31250 31806\n68732 97857\n906 62108\n70331 73280\n25304 41553\n33808 77189\n66406 94056\n1068 94739\n40253 76341\n31171 51977\n13464 73843\n24457 54669\n58714 92767\n17155 90837\n33356 83396\n77401 80198\n46929 77586\n83565 92876\n82840 97272\n34873 84718\n54856 80180\n23157 33104\n12776 31800\n23972 93829\n5081 31082\n7269 44584\n53560 80289\n15880 81268\n44285 48738\n34761 47645\n8079 50383\n73986 76291\n40494 76306\n56446 95243\n78058 78940\n6292 52143\n6414 45298\n42285 97550\n39858 71868\n7934 69238\n36521 50118\n13060 13063\n39601 63120\n54924 54932\n15275 66734\n55325 80240\n54040 73149\n9502 55693\n16728 36628\n11285 88585\n25905 62180\n15100 34456\n64810 77218\n4719 20127\n22299 71915\n10947 84914\n47570 71269\n29965 62896\n49151 61136\n45154 76649\n11481 21268\n40741 89930\n13618 69301\n43896 80360\n65161 67655\n30142 58367\n66389 83215\n44689 87162\n93298 97111\n49676 51581\n18124 47374\n13762 52591\n86030 93304\n44963 78231\n17649 77417\n8968 99346\n13614 67945\n29193 34421\n46321 91787\n23511 60989\n75072 89248\n11295 28620\n526 52583\n9122 93185\n16407 78064\n27029 87724\n8262 47250\n65700 80121\n31192 68576\n63465 87382\n1037 25604\n35099 84959\n73057 81719\n7114 14091\n13770 75280\n70253 85914\n11813 27318\n38357 96815\n25942 99857\n29274 95817\n35947 73150\n52015 60466\n44564 81248\n8042 94862\n14512 46633\n64778 73081\n57590 69604\n41974 89399\n33678 55507\n51122 83130\n45273 78276\n6618 37709\n26439 38192\n43399 90860\n225 17886\n61899 63912\n2967 87491\n23364 35204\n21964 49769\n23888 47350\n17484 18635\n68080 88321\n16541 34618\n35918 87493\n6353 89382\n62474 86255\n35274 36727\n79943 95298\n741 75566\n49833 60264\n22569 64394\n3879 88415\n17888 26684\n21204 67370\n79839 87012\n12087 92400\n9390 55159\n26837 65707\n39591 80951\n14002 14137\n12955 90814\n27922 51841\n10523 89811\n83947 95013\n10425 60140\n430 63362\n40688 75420\n54115 93684\n73566 91776\n7536 93289\n54085 90444\n51644 53879\n4219 21691\n55626 85911\n16981 93299\n30196 92645\n5471 48990\n20424 52438\n42359 52052\n58568 95528\n15058 94261\n16695 60541\n23412 58919\n65217 92984\n9645 43824\n14880 56170\n70822 98745\n4729 50172\n53385 84261\n1857 67821\n9128 62829\n48747 88363\n56406 96205\n16217 63490\n9247 27937\n15184 50631\n17259 65237\n22283 74083\n20745 87590\n53925 61600\n15396 56082\n3836 66831\n33355 81511\n37244 77209\n39826 64569\n41365 88809\n75179 98161\n51413 55532\n9997 89599\n11919 78190\n12442 95170\n6931 40017\n58216 79358\n49242 88344\n33055 45861\n7654 21541\n36011 49277\n82659 89311\n73864 89654\n48632 77280\n36373 48249\n268 74014\n24659 62972\n52837 78111\n87251 96253\n36944 54756\n53286 58430\n84706 95008\n6064 52891\n8981 41718\n4949 16805\n5679 51053\n9724 45333\n10963 49299\n39888 71096\n52483 98328\n65151 90301\n25320 72784\n48861 84512\n17903 98944\n79744 99282\n87114 94155\n10334 25724\n13048 38636\n9307 59191\n74112 89617\n29436 84158\n40576 65009\n18481 72705\n12451 99600\n16526 22947\n54425 60624\n9466 38310\n24056 27115\n17249 78579\n4041 51143\n39072 55188\n51319 64100\n29850 91851\n16949 74560\n47861 87190\n52466 85347\n88251 89795\n57725 84945\n22525 52536\n57650 89320\n76508 78003\n28357 89670\n4991 72217\n37881 68216\n27932 85277\n71414 86822\n55110 81526\n316 72579\n94132 96048\n15084 24907\n54937 95942\n70256 83067\n31970 98227\n63 42616\n12345 92850\n56386 75687\n4044 74324\n43596 68595\n55783 71157\n82703 90338\n3559 27788\n6223 74266\n37217 88335\n77206 79751\n6148 46237\n10953 56907\n28340 73090\n30796 94779\n34506 67284\n53631 54031\n10673 73820\n13894 44833\n20494 95168\n18125 24939\n63530 80252\n482 40258\n50784 89923\n30068 92400\n57589 99743\n15846 44477\n29 57205\n50059 51145\n57251 99400\n20955 73362\n46898 95553\n47425 53068\n9913 37083\n39985 89646\n86767 97712\n43700 49262\n2502 42795\n49737 93915\n78440 87699\n21885 79758\n32680 61779\n52726 62866\n20591 56984\n31395 53066\n1756 85934\n6950 69083\n5339 96769\n33365 70206\n17239 18742\n60481 83343\n55812 87654\n47272 60994\n10397 16259\n72924 97013\n36294 98295\n38000 82314\n73481 82311\n56571 79387\n20162 34277\n6614 55096\n2116 50943\n20806 69375\n9935 63936\n43561 47320\n10081 41937\n10683 73785\n15189 47496\n27374 45306\n5889 28258\n72582 93846\n72 19069\n18711 42011\n96504 97913\n77822 91644\n644 26751\n62573 68474\n53466 96654\n13768 71541\n47267 89611\n52518 66848\n36275 71450\n13152 83505\n68278 73173\n54999 64979\n50357 79695\n60523 62234\n50682 90265\n20894 58871\n16366 38933\n1840 16708\n22657 87431\n88233 94907\n37378 57387\n27640 61694\n38902 84354\n1284 25181\n46625 68615\n20684 85070\n45513 87887\n67679 86243\n26169 73845\n58578 78305\n82603 92371\n12965 39263\n23355 67713\n9559 64697\n75489 76066\n16557 45965\n5478 9076\n7092 11482\n61647 69641\n47755 95517\n47990 61302\n75847 80368\n21540 38156\n4772 54228\n9178 17582\n37589 80436\n16021 22296\n10386 16224\n45291 88474\n27094 48937\n11495 82764\n52491 91591\n44853 73706\n76398 88787\n5458 95091\n26818 99690\n65605 91255\n17411 88745\n4941 89055\n21951 86125\n23711 76391\n8891 46729\n70066 94769\n32110 52178\n50665 91592\n47590 94563\n17944 31680\n70960 72545\n11182 89000\n13640 64124\n47723 70969\n58427 71265\n26152 26477\n65182 98722\n87339 99995\n59339 64294\n27414 90263\n67308 68871\n11742 32594\n8902 75939\n86107 89942\n53625 62220\n25429 49997\n6637 74225\n10111 96056\n53441 79026\n7082 75531\n25660 62791\n32371 80399\n32335 63114\n13331 73352\n44578 68575\n36146 38398\n81457 85726\n74100 88487\n49886 55418\n15992 35963\n51266 65884\n11426 28860\n6141 44589\n25420 97447\n21985 88607\n16764 66414\n83833 87819\n18326 27756\n21864 59487\n18646 28856\n58021 97318\n52821 70363\n55564 61897\n29157 45540\n71937 96878\n66285 82249\n17632 71061\n46717 60092\n25892 95264\n43487 86864\n6026 31906\n65918 90541\n32339 59631\n22651 83690\n88394 95329\n62273 68027\n5674 8265\n6811 10908\n5272 76633\n63536 97887\n29895 33285\n62783 68508\n38150 55149\n1602 59848\n34321 58196\n43515 79580\n25802 72430\n54398 64386\n30673 73694\n24092 71982\n918 95118\n51152 81024\n34364 60747\n2639 33707\n11139 26554\n6148 66487\n12479 56134\n16095 69998\n26 17139\n35152 39802\n13419 62866\n19208 96868\n43284 80464\n62659 92691\n10300 34828\n50735 93527\n28907 65552\n66047 79327\n8738 27430\n8806 16348\n70722 97456\n45829 57072\n43232 58085\n54361 99101\n4316 78456\n53973 55083\n15340 15668\n44648 54857\n30072 33851\n12301 84830\n12965 91535\n5681 39962\n39621 74507\n6385 92580\n24823 79828\n32447 39101\n63625 64568\n48864 85262\n29063 54816\n13342 73065\n52245 52871\n14298 58041\n17062 49112\n38000 95517\n6375 72136\n39216 46013\n94704 98424\n23719 45140\n45071 61584\n16090 50282\n68208 94242\n77287 83559\n13878 43407\n41552 96785\n1438 72202\n22502 50561\n24631 32264\n42753 66430\n27081 63238\n46526 78293\n29802 79577\n71940 87616\n68697 84931\n29184 88971\n10073 59556\n34204 84849\n26672 28307\n11334 29604\n67429 77730\n40406 75790\n70245 93743\n21000 82638\n9981 68524\n16173 62805\n64689 85718\n38622 95910\n60813 64150\n45294 88885\n104 53171\n17560 21916\n37917 47833\n71125 85010\n22460 71013\n4583 73685\n55696 97830\n951 93614\n5533 54667\n22513 95581\n41353 43048\n32057 46074\n21315 29760\n19439 25426\n24992 84149\n20454 83174\n29729 67762\n63039 77923\n56123 74179\n50751 93183\n5664 58111\n21329 53674\n92935 97396\n20799 20927\n5930 85032\n16613 56575\n55908 68595\n2399 77996\n52866 79719\n59 13531\n3582 63906\n70846 91396\n45206 71900\n45167 49716\n6939 59121\n7622 45170\n62731 76903\n73595 89760\n46845 48307\n45108 89595\n56097 84393\n9504 58187\n83357 87782\n26967 29283\n59323 93942\n6974 42445\n12093 86092\n5911 51839\n8861 68254\n72261 94733\n52875 81952\n60424 60495\n66745 96190\n17099 41047\n4403 90068\n14853 49533\n22574 88782\n25658 96754\n85864 95265\n9859 42767\n23269 80862\n5920 12864\n22731 39860\n83191 95269\n53320 73426\n57625 83107\n1429 14518\n7716 72135\n22121 49221\n77866 98027\n35868 53977\n26285 74098\n55232 79194\n76104 84458\n6794 12755\n56172 94056\n21682 46949\n48717 70902\n38827 52922\n16222 36552\n14307 59439\n46020 97812\n12362 23427\n21920 94517\n7631 43441\n37078 63958\n348 72228\n43955 92572\n12807 82352\n22663 98582\n29418 82815\n31805 57954\n44190 78440\n19434 24342\n28024 49722\n8819 51516\n32909 83211\n38206 47881\n4164 15556\n32756 57141\n67615 84135\n51707 72515\n41624 69876\n48432 73792\n17239 47564\n32688 46530\n11255 84056\n92320 99044\n37018 74607\n17222 78569\n10474 82819\n28155 98376\n4544 53907\n16239 89566\n36725 59551\n18782 82572\n6445 70722\n8067 80236\n69032 84814\n28172 54322\n58469 85186\n44518 80862\n1782 93373\n49283 99630\n18820 24130\n49567 92958\n76288 78383\n16385 86843\n57547 70063\n59880 96650\n25271 75166\n15009 39732\n51417 52739\n19716 85189\n24402 37996\n26389 98234\n38323 43967\n10863 85882\n11320 91940\n25494 56786\n60352 74961\n12745 31168\n69073 78841\n59087 70695\n36726 79474\n26463 86635\n5984 56104\n25276 93415\n48973 99272\n73184 76952\n56909 56992\n39037 57347\n2876 60368\n3998 79263\n62486 71656\n78052 78153\n15024 37906\n22575 91412\n40617 64344\n50441 70629\n41135 97367\n2478 89005\n14823 52773\n13166 35309\n29953 79721\n13430 39241\n25970 89747\n39200 75806\n24815 42562\n1133 73159\n44295 95015\n5551 43620\n29931 83104\n16292 76765\n33940 85467\n22211 85844\n3935 5587\n72844 76943\n13188 28798\n20632 99192\n30525 95204\n14377 62319\n27486 89843\n14643 87540\n27000 79601\n12881 65385\n53754 82274\n46008 91851\n45865 65676\n55775 95088\n23437 76188\n32462 86301\n21246 67981\n4523 83504\n37422 60871\n27188 32602\n14841 99328\n7099 37088\n34406 80692\n90340 93991\n56984 77446\n41098 96954\n7568 16908\n51055 72652\n11461 90199\n35212 89277\n52805 62000\n48135 52453\n78302 98780\n44589 89172\n28439 37694\n64471 74788\n76869 98283\n50732 96120\n59900 87735\n12028 72328\n15650 40262\n60098 72800\n24592 72946\n41936 98982\n85890 88277\n36980 51022\n79634 93712\n2655 66823\n19480 28405\n141 81982\n2616 24297\n44021 67835\n60647 98971\n10545 63966\n27612 36910\n22379 37978\n35730 67176\n39311 58259\n60781 97378\n54398 88033\n5928 25946\n7870 72264\n48540 75370\n27918 30624\n19213 86194\n20802 80659\n69009 99677\n92999 99168\n31705 91120\n25791 98417\n30515 60095\n4993 9214\n65379 79680\n51088 57855\n26247 98437\n6487 55755\n18933 38513\n5549 54269\n12639 83330\n69500 87555\n22972 79236\n50484 59001\n35916 99566\n14471 37707\n9555 81107\n5114 35316\n9907 83752\n43060 98998\n77804 83503\n52196 99248\n4466 46689\n33356 87933\n22705 89169\n15946 81678\n29958 57577\n24095 59614\n65537 68477\n30483 81897\n26213 69506\n30328 44753\n62183 91889\n59470 78716\n87146 96975\n21886 79587\n71201 77114\n13058 83650\n15833 96374\n43420 75662\n32610 48466\n3092 83439\n7393 48090\n7644 20817\n52079 62183\n93723 94062\n32080 80745\n34430 82938\n53822 56568\n88907 96799\n21846 73547\n13659 43077\n17405 47449\n5611 86457\n50798 99551\n243 15625\n33874 48627\n12184 84851\n74597 77331\n57549 65335\n7671 71844\n22665 81096\n70674 79763\n20536 74826\n7316 9239\n40715 93827\n33839 43129\n45558 94506\n52453 73043\n52680 53923\n41103 95792\n54317 67569\n63852 82567\n40484 73500\n2367 70759\n8479 62520\n1782 16251\n53829 81834\n20777 42789\n36082 37338\n52698 91016\n2944 57458\n28536 44711\n1380 48592\n9546 98447\n1331 5017\n59184 93594\n52703 67873\n2290 80165\n16945 94640\n41353 81889\n13104 75365\n34116 78790\n11130 81932\n5462 48265\n53605 86589\n55353 84790\n81426 87839\n45722 64802\n70666 96577\n24842 53378\n12211 80404\n46617 98529\n14921 64600\n5708 49753\n13693 92186\n38760 52125\n75430 87587\n2011 20812\n3407 73136\n2583 74288\n4264 11245\n69080 80386\n25281 51772\n13467 32657\n26537 67493\n29833 35110\n46065 77275\n21182 93332\n19725 31107\n27132 32774\n2018 16477\n57770 93230\n8633 62291\n21023 38955\n15798 34636\n83286 98912\n2988 32112\n9984 47010\n69177 70190\n15420 99410\n3691 29419\n8915 18465\n25701 34373\n16813 49993\n37479 90871\n15118 51525\n51666 67611\n2197 58184\n34249 99876\n1120 21411\n51552 66769\n27368 91124\n10648 50176\n41704 42638\n1436 23997\n20435 86203\n50053 81840\n41596 63413\n70865 93682\n72521 79503\n32914 88624\n5041 40107\n18039 19024\n56629 66111\n74415 80786\n47303 90159\n17491 77582\n5661 12901\n74278 75029\n81529 91202\n16241 82190\n37401 75333\n10532 51442\n4010 28852\n35540 61020\n1324 56770\n4996 70794\n55128 65007\n67557 86409\n18870 24521\n65594 68832\n15774 84464\n59918 93843\n43043 67080\n37713 87633\n18422 27515\n46596 88029\n33612 53671\n7752 54381\n55654 60039\n14670 81952\n71069 78520\n4933 55945\n77349 90715\n53935 68007\n8102 23578\n9052 15927\n81517 92263\n19346 27807\n20288 45905\n59397 88623\n85748 92340\n2652 65309\n45371 75699\n55337 71978\n22965 50895\n6422 64822\n17245 30453\n11344 34856\n57491 88355\n79045 92589\n71284 77288\n68431 71805\n1303 16217\n50908 84533\n71511 95285\n3899 6803\n80150 83250\n24692 58056\n59749 85393\n12142 83228\n9822 47024\n6719 73982\n24341 85023\n66010 87313\n39277 58335\n5159 10229\n72654 86604\n20990 79423\n30492 93853\n41133 64026\n18004 30076\n65521 70787\n2968 52269\n52380 96816\n11377 65306\n15094 58088\n2818 62844\n23483 94979\n24555 28422\n46884 62598\n5626 43538\n12761 61285\n22615 32528\n12489 45998\n31647 65584\n2381 37536\n70596 75366\n2344 66309\n26917 99950\n39605 93926\n13460 59743\n15209 76368\n10509 28684\n63865 93785\n60534 92209\n51523 95228\n11804 87885\n5500 55157\n24865 86880\n3581 6643\n9392 60598\n42733 99364\n44401 86395\n1372 40568\n9579 32243\n35172 68383\n3873 23117\n43267 67762\n32390 56585\n1868 9621\n635 97300\n24880 79814\n19695 35140\n10458 76001\n979 98149\n543 16438\n64490 81678\n42002 98559\n69631 91632\n8121 39562\n7555 54733\n5262 78459\n12634 21084\n10502 55358\n90279 96023\n5636 88196\n2591 62617\n40796 93138\n50761 61999\n18605 66055\n50005 73594\n22725 62044\n41413 76292\n37908 69759\n57071 83794\n49925 74290\n37035 55504\n11205 23945\n11690 25710\n52486 93838\n15743 44805\n38571 46816\n36656 56569\n11730 75708\n68745 74092\n26881 96670\n27209 80731\n86123 98458\n43298 51069\n26929 31850\n43746 45804\n21551 90079\n69728 70188\n11083 51069\n48944 57205\n72228 99149\n49815 52937\n51661 95086\n57384 81569\n54136 54329\n26116 98993\n13119 74491\n4996 19197\n72122 74139\n29496 67812\n24707 92678\n18257 64614\n48437 89572\n48742 70833\n42560 61307\n53220 55719\n12519 80971\n46306 82799\n66909 93053\n47673 70719\n53303 84392\n80465 99221\n71620 91224\n6565 77789\n6336 11104\n20795 44559\n9875 45109\n63700 77022\n43832 83319\n56871 81561\n29382 68067\n13442 58312\n19436 24077\n2256 78465\n65517 88891\n10930 11594\n53641 78474\n5881 7818\n14163 86217\n69718 90126\n54770 83560\n42654 81579\n69992 80658\n53315 53691\n67580 79712\n16437 50306\n32251 80772\n73107 81114\n22127 24387\n7150 10397\n26762 44259\n56262 65390\n20082 80924\n13201 41013\n5227 37060\n22280 84373\n21524 62123\n4340 78498\n34263 64132\n22194 58584\n25983 28317\n8411 71986\n25112 91641\n88696 95422\n93247 98062\n22120 45648\n52271 92317\n13821 27164\n21686 36991\n30234 72031\n54337 83052\n64648 93540\n59739 77506\n21034 95724\n39530 45417\n22239 69745\n4248 41472\n25078 41607\n2963 99019\n53644 92411\n37482 65607\n8838 62982\n43119 61690\n35404 67109\n20426 89885\n60984 91154\n4070 78971\n22084 53478\n12010 65867\n82591 92910\n10076 91550\n22001 90839\n30132 87412\n56312 83988\n62949 63851\n9760 34195\n58371 73103\n42708 83329\n71425 98534\n49651 99020\n22313 37229\n9612 13080\n4885 31269\n14176 33090\n34380 95913\n29070 80586\n42354 89853\n37630 79177\n34151 53168\n18761 26135\n69354 87915\n8416 45592\n55418 81879\n27699 80511\n13213 21366\n13261 58679\n19822 63185\n12099 95710\n3866 14711\n2756 10001\n6485 95384\n9330 37060\n21588 51882\n402 83370\n45139 64515\n52484 63879\n83389 85283\n15491 57584\n2876 79795\n29599 47519\n12832 93960\n35397 35990\n73826 78036\n3343 77755\n27815 95872\n30333 55705\n2482 58913\n34494 80038\n5847 64563\n4562 39531\n14272 48308\n7930 71814\n58995 96639\n18997 54305\n56671 87927\n13693 59953\n1561 86146\n19865 25406\n42334 91156\n48770 62278\n317 50516\n2994 59467\n9624 28822\n13129 86915\n16035 27949\n2321 17418\n10349 40212\n60815 96652\n4718 28259\n5892 93132\n75604 81929\n32077 35790\n28258 60637\n9440 57730\n70486 78089\n23132 95099\n49024 83115\n10186 40198\n23194 82090\n410 64669\n51925 72420\n8991 19383\n38963 68093\n11127 28513\n31623 71919\n8342 42899\n58755 96518\n20850 44686\n41813 56920\n7876 25791\n72005 84878\n25560 25859\n10425 47151\n11067 82038\n16793 66587\n12095 66013\n23496 25959\n7659 96562\n94442 96433\n29741 55562\n38773 98660\n60867 95629\n75411 95894\n24726 82071\n50573 92410\n45363 50201\n20366 87350\n17214 63278\n51255 77414\n27703 90574\n67417 85864\n8347 62818\n49365 94972\n38176 90449\n43687 51693\n44966 85016\n21357 70797\n16706 46151\n6245 81651\n64041 67598\n58146 70067\n58295 76560\n1364 48773\n1093 25909\n2820 10073\n62598 99300\n14179 60975\n3384 95923\n86919 92195\n44440 81666\n65041 86364\n33388 95907\n22745 99424\n77352 78007\n12748 56169\n29428 47997\n40639 89356\n65526 93407\n39380 49551\n55938 59767\n40477 74924\n7080 13324\n66108 75402\n5305 33120\n17905 63120\n8833 79302\n3462 74416\n57417 91714\n11119 26996\n69848 98988\n30168 51705\n74288 90467\n40152 94971\n24369 64270\n17452 79459\n81863 89728\n25906 58249\n9615 64276\n49303 90456\n6514 21281\n70413 91307\n8058 20548\n74738 92066\n10774 37107\n35677 47993\n49326 98921\n34999 85926\n39604 72204\n6166 86868\n65538 96206\n33942 94859\n18212 79383\n88860 94686\n29997 73110\n28564 94023\n33465 70216\n45946 49665\n12604 71936\n31954 79155\n24069 61664\n65723 73146\n9329 31923\n74258 75830\n31254 43427\n16683 37397\n22902 38132\n1541 88749\n54414 57340\n7094 50976\n22374 78707\n20614 59919\n12800 43143\n32529 80503\n65475 82354\n8769 60927\n53352 73852\n59585 72101\n51074 58201\n21275 88870\n3273 16738\n29391 54671\n48707 58066\n14143 98079\n5117 74363\n3677 75385\n30516 96955\n82770 98970\n50920 65906\n50834 58688\n39724 81341\n4948 77896\n62334 74532\n35406 78053\n50764 55426\n30036 99015\n59421 87271\n63873 87521\n15608 51879\n73889 98421\n27866 51744\n7711 19679\n2356 46076\n9279 90369\n72458 82540\n20844 86450\n69220 95107\n20604 95654\n6058 45455\n6066 43977\n48748 82283\n2255 59524\n31304 79114\n44767 49621\n18132 25793\n25931 43143\n5614 47111\n5064 16065\n47689 55161\n4561 45492\n61742 85834\n73563 92840\n53276 93967\n11199 78081\n33643 65117\n29773 86044\n62292 72804\n13815 47030\n57434 76986\n6219 38686\n18224 33579\n8819 49474\n35273 67490\n2786 67241\n38043 64257\n7725 94246\n19563 62427\n881 74228\n10479 67801\n28565 41340\n22893 69787\n15808 72268\n21868 72940\n21706 62572\n62822 87876\n6591 21979\n17858 53982\n40850 92568\n69463 87689\n38862 65327\n86040 95611\n17964 30889\n5330 39497\n14054 52036\n64882 68722\n56782 61318\n48855 80723\n53291 88644\n39337 62524\n7188 81855\n39190 76543\n6159 23376\n73181 88029\n10996 35282\n29433 68784\n33837 36790\n28409 40115\n32906 51894\n52804 64901\n2281 89239\n54385 61668\n13274 14588\n79855 92699\n11034 51411\n21456 39011\n46033 54347\n6802 34006\n42462 68227\n51837 70913\n17599 67160\n14703 38121\n90720 96540\n55489 57974\n29507 93299\n32210 97181\n35386 38746\n2478 81685\n2165 80395\n8826 43655\n3093 90686\n21215 75009\n35631 51205\n19195 35378\n21610 79376\n1086 89310\n84119 97327\n579 66113\n1166 16850\n35111 87925\n3249 84934\n29275 72247\n44714 85976\n15298 74878\n59853 88227\n17166 98075\n19904 25675\n29992 92770\n47838 76010\n17393 59190\n19800 72987\n23973 69126\n36175 40189\n54457 82323\n11721 37987\n3072 93711\n1230 80926\n47967 95443\n3807 81930\n14733 65213\n19983 35278\n899 48210\n95636 96099\n37370 60311\n17147 57359\n46349 85330\n5949 37271\n82140 82390\n32552 85371\n11261 40424\n27735 83022\n30662 45620\n49858 91719\n50383 97577\n51836 64267\n13148 63110\n9104 21306\n48046 79286\n70463 91895\n2897 17217\n50447 95096\n15837 53214\n56614 87513\n1894 19214\n1281 53745\n7370 37602\n26195 35691\n31766 62513\n51927 91985\n35521 92086\n4434 14265\n34157 86196\n61733 73357\n42504 55575\n17118 57510\n66953 67322\n59255 90970\n28160 65990\n16287 22545\n10782 44813\n13930 99067\n47787 52794\n33687 96659\n25764 47133\n14600 53689\n85807 89549\n61290 97966\n31537 42204\n29396 45406\n32586 98119\n33575 86765\n76223 81266\n59541 90533\n32056 59884\n4324 44001\n51042 67190\n21150 51471\n58293 81258\n20806 37528\n19636 30918\n9557 60069\n79678 94327\n76337 78171\n6028 98052\n6540 88502\n15388 97618\n56041 72696\n25824 62613\n3783 73917\n30092 84346\n28772 88608\n5114 65841\n5402 14353\n16292 82010\n25852 91133\n56607 73318\n5880 43176\n26702 97336\n17293 63407\n35570 89340\n6920 19150\n70374 96039\n21070 22447\n7340 16358\n39914 86372\n9428 43478\n94389 96270\n42360 68050\n16560 29919\n4408 11576\n57792 93301\n35670 39179\n38002 58973\n41351 85288\n43610 84157\n57853 96158\n876 66295\n58501 83165\n59556 95301\n19171 19997\n50834 69644\n44822 98137\n20091 68748\n43288 82124\n31812 83795\n10460 19920\n36736 87052\n42765 95856\n59297 62861\n11807 82676\n66651 84828\n24717 59672\n95492 96001\n266 58297\n34126 82997\n49296 98683\n23037 74147\n26226 92999\n4800 36959\n78149 79418\n3027 52823\n33658 54140\n32163 56212\n59806 63158\n69393 71157\n50059 52872\n50004 80886\n23503 94484\n12490 27302\n24660 68761\n73901 88515\n47820 76407\n58517 98491\n22247 82633\n41019 53165\n32055 33009\n9735 61772\n22117 75217\n10884 14880\n58820 87063\n36451 47464\n48804 60958\n14931 16025\n16223 72172\n8137 24092\n8510 71229\n394 3693\n44418 93470\n15770 16177\n51632 68455\n24760 97889\n41110 84917\n34911 99515\n28940 65550\n29009 70506\n11976 32514\n53646 68857\n55018 57219\n1338 32423\n52900 78088\n90773 91560\n3666 96691\n36161 40426\n48857 93226\n7114 79622\n4437 46365\n18356 43901\n81381 89625\n34201 59485\n51000 75095\n14742 63938\n7491 59297\n14308 16840\n18135 65719\n18053 28534\n9822 20209\n9384 89776\n28506 63176\n15665 50534\n84122 88379\n26488 45150\n7247 59366\n45326 78815\n31446 57942\n9432 42676\n12412 98316\n35987 59498\n70322 73140\n19915 60176\n23163 46329\n37077 87226\n5739 50277\n45276 68820\n29925 80153\n34719 42342\n5422 71270\n1462 78426\n5275 66406\n68802 88669\n41818 49376\n5624 66056\n23608 77563\n24563 80836\n42202 89742\n38525 81406\n43943 92096\n4414 56435\n35568 70071\n68850 88919\n15065 31131\n13854 35424\n19135 20422\n1418 56798\n23248 24200\n54542 81351\n49335 68123\n68156 80377\n50866 97084\n28820 99566\n16527 22973\n44648 58522\n15910 43315\n88320 91066\n80621 97789\n6899 34245\n15243 52858\n46407 94819\n12747 50088\n7144 68831\n70558 97830\n500 39712\n16898 45304\n7712 83169\n1527 99486\n30785 37997\n40738 50487\n5545 49966\n9177 87670\n27277 71426\n29972 83062\n26615 80171\n20758 31699\n8688 47855\n6849 35309\n5523 41745\n26557 58883\n30400 97860\n55388 89133\n54935 76454\n94060 96556\n46298 78766\n15694 43865\n36378 83037\n7458 38925\n64785 70036\n12394 80258\n4701 12689\n48072 55312\n83356 95923\n43323 72776\n1752 85326\n39293 79318\n12367 84476\n7278 80050\n41169 75832\n71687 87823\n50946 67863\n39072 74306\n13486 48726\n7678 45104\n91351 97616\n35835 91316\n24383 95807\n66923 74671\n40718 49179\n49159 77753\n42515 65097\n25258 76842\n22382 57342\n65799 85748\n45237 80895\n9719 54218\n50816 70902\n30205 56282\n6477 61274\n15927 42669\n8316 48042\n2931 60801\n70081 76554\n2046 22950\n31848 65854\n1191 86873\n42214 71488\n72787 95394\n20390 54216\n22729 99723\n25545 79658\n44973 81446\n28560 48329\n8441 59501\n50711 71652\n25653 45158\n6483 55645\n15194 40631\n17816 24360\n51083 72617\n54691 64331\n64387 92092\n71064 90980\n8979 42814\n13161 68597\n28187 97625\n9884 98757\n1124 17698\n67299 98366\n9915 88304\n965 92083\n4411 57722\n48621 96034\n11187 89942\n52144 94354\n23884 36554\n40403 71056\n20904 60688\n22466 53063\n4508 93618\n50725 57873\n79098 89586\n15194 31571\n65749 81859\n21582 26706\n84086 92179\n29964 49939\n7534 9041\n65731 80850\n68677 81543\n29791 42516\n30018 62538\n82175 89102\n12480 14763\n5942 74146\n29095 49483\n55100 67697\n26696 71595\n34579 96023\n40959 62732\n12223 44758\n9429 32288\n33688 35693\n21861 49884\n31559 56880\n79965 99710\n31359 55046\n49330 77454\n35182 39464\n7599 84745\n2609 79309\n59466 96683\n77762 92459\n37478 63902\n17629 49372\n3626 74667\n42467 48194\n24558 92479\n9780 18629\n6036 84358\n9902 93061\n37152 98761\n17364 51901\n96781 97475\n8032 94850\n45743 92379\n40104 43518\n41073 84678\n18877 37655\n13734 52749\n49275 62966\n56208 86161\n50163 90397\n8800 43507\n3745 25161\n7443 80222\n77 68006\n51392 68206\n10570 44336\n41239 88798\n6922 55009\n16661 93937\n37442 99421\n21089 30326\n64003 77105\n32605 52709\n25035 82219\n81573 95313\n48577 78085\n46979 63819\n30135 89868\n1606 52520\n17776 47042\n7033 91681\n23989 32172\n19672 24478\n86225 90739\n4191 50805\n46028 54591\n36956 92962\n62047 89132\n21874 85703\n14757 54179\n6355 87936\n73934 89754\n17170 52797\n10801 58581\n8840 9517\n46516 95738\n53148 60631\n62987 98469\n25212 32842\n65592 72188\n70075 82513\n16742 29204\n63054 87240\n26423 96070\n2511 19548\n7731 18402\n4116 60289\n5002 72449\n14341 78083\n50815 81146\n65317 66231\n53935 91135\n6437 31351\n49945 55396\n6883 85104\n70084 87256\n24950 37123\n19238 60632\n14272 92035\n36992 88709\n8027 85493\n3866 14245\n44041 78116\n29529 92843\n18961 88104\n70216 85937\n25263 78467\n28377 68027\n21194 22015\n4004 90766\n10032 87782\n76022 87263\n42798 90137\n44632 67187\n4617 58037\n42328 93086\n14065 73268\n29401 33945\n33043 71933\n1410 51840\n79036 93070\n8273 93637\n17671 17839\n18716 84871\n14754 89598\n59858 82778\n82792 97014\n46275 49607\n55660 94881\n43765 66143\n16154 40128\n86945 96156\n21650 95437\n4949 43180\n44845 52188\n47092 85563\n76804 85138\n28212 63054\n30384 57111\n13912 78081\n1729 6728\n20396 69741\n35200 53545\n1477 47459\n1452 47277\n49079 93246\n14143 74591\n18532 96736\n12978 55107\n91 36245\n19311 57304\n4456 24061\n69743 80497\n4612 5648\n8405 79185\n8287 59769\n16403 79394\n8949 88193\n29227 95219\n52608 82561\n1290 45296\n10701 64010\n87915 90141\n39795 54969\n79831 91748\n34902 72500\n35434 35674\n14691 19426\n53222 88340\n3347 49503\n83049 99928\n1557 58812\n16281 16672\n47053 50599\n10146 87811\n49387 80211\n40206 44476\n40573 90127\n68661 78797\n60718 90348\n34673 43390\n11439 52807\n37843 41255\n2218 98830\n27928 43565\n49705 71430\n85401 91495\n39604 48622\n4168 69167\n23982 67618\n28027 71767\n1532 44802\n31213 66297\n27429 97221\n21541 54347\n76254 87830\n55136 56110\n38225 80850\n21823 72753\n3475 47763\n29797 77512\n84682 85760\n44743 87754\n67235 74684\n42100 61562\n58245 96760\n33853 96777\n70268 84540\n81204 91310\n8497 45244\n58111 87508\n49266 85368\n16416 28898\n63683 74225\n3168 21671\n85532 90842\n44556 50809\n28220 39822\n14341 78481\n2023 2918\n47135 82366\n69309 98834\n12320 16182\n38829 90507\n3255 70988\n34080 35225\n44556 78423\n1615 21215\n28741 70839\n16070 46524\n17773 46242\n77538 80608\n2768 5685\n35514 70980\n50138 96462\n70735 78087\n75820 99993\n12934 33885\n60675 92423\n3960 51808\n28958 81577\n23714 50162\n26308 75738\n12185 56687\n13906 37453\n48756 77656\n44764 61720\n6656 65566\n41284 46617\n77952 97671\n8501 83041\n51567 81190\n49995 88016\n52589 83366\n37076 48306\n11265 20329\n1031 15708\n8590 90783\n16833 30341\n45579 52331\n15835 38940\n23440 98371\n64029 72089\n17400 36168\n4452 19587\n5308 53115\n36801 56716\n48014 74012\n61699 93222\n19790 86323\n53372 70370\n66432 87877\n61134 85352\n1248 37490\n5266 72088\n50096 74730\n59382 86431\n9522 88509\n23354 48214\n2209 66073\n49453 82401\n8297 92914\n47642 57200\n26832 62449\n19255 72956\n9999 63942\n12627 77414\n72418 91435\n72779 79870\n38013 53150\n16157 17687\n42836 95238\n38950 41461\n13716 72999\n74682 94025\n30688 66944\n31227 86601\n13379 15259\n44174 89247\n18725 56229\n4886 57887\n55699 59201\n19606 42834\n12744 48237\n47504 62944\n17196 60195\n47147 59176\n54091 67589\n12902 89846\n4246 72752\n24278 75526\n46763 51304\n52069 90608\n17736 52870\n54882 83485\n17054 98397\n41166 60636\n11387 59511\n25706 82640\n29115 87873\n40679 77115\n32934 38403\n1096 57898\n43179 74925\n6972 26431\n65525 74592\n28379 72466\n59185 79766\n33870 91065\n16029 29335\n5435 18646\n28991 83781\n52210 57816\n45740 68378\n7626 51421\n53394 86502\n5631 77572\n31017 82457\n77559 98239\n12788 31294\n35923 44163\n7197 94358\n42074 70397\n9776 9880\n42890 78339\n40404 86024\n31127 40272\n20368 88662\n29618 67488\n20901 89251\n6485 82119\n38549 49668\n52203 64360\n11356 38475\n20441 74120\n71587 85921\n17952 85650\n31374 75635\n44435 98082\n13733 74240\n74987 99615\n24205 58508\n16146 50805\n47239 81218\n43944 95819\n29072 29368\n8993 52935\n1720 9861\n30274 92846\n72415 82074\n15699 36398\n95182 95461\n37093 95514\n3617 55185\n42463 93133\n12587 20981\n21379 37992\n28673 91346\n68794 88842\n2937 39409\n47989 96619\n8455 57649\n4928 68347\n9542 73927\n15800 95762\n16572 60966\n9895 32048\n24952 91837\n70559 98415\n75847 97087\n14854 24251\n33554 77266\n36847 61206\n19489 58126\n54125 69193\n30148 42935\n16390 58845\n86008 98726\n29433 47097\n69290 72674\n6895 13805\n6845 69715\n42214 80678\n4833 85761\n39837 78666\n33511 83618\n15203 91067\n35317 77841\n33733 97314\n14430 53853\n39358 93464\n23069 68547\n44652 94567\n47162 67146\n5108 26220\n28039 55019\n51679 97494\n8541 79559\n35484 49003\n2478 98779\n5729 30298\n50387 90717\n22161 68118\n7614 70326\n13192 77311\n2735 34219\n41199 48578\n78061 81309\n20651 88561\n23828 81159\n64417 96235\n28162 73128\n471 41049\n87967 97097\n19479 98591\n23837 51543\n45955 81666\n34108 76707\n14120 91324\n69008 73785\n76710 94966\n14551 50454\n410 66480\n37627 83208\n20095 75242\n63868 71804\n42112 47984\n22769 41866\n43398 47373\n66375 97112\n20082 77956\n3396 66454\n27678 89703\n16235 47216\n39314 69759\n43102 91118\n5370 63775\n26006 47435\n36930 72933\n10343 66005\n42455 43740\n46339 98532\n4752 24544\n82810 93418\n17488 52619\n20047 58033\n59876 63300\n64813 76301\n27304 81070\n30269 39780\n2164 11649\n51853 92797\n37233 65614\n85610 87548\n38206 70725\n8988 58607\n17999 65218\n30240 63862\n10710 59323\n56118 85886\n36628 68110\n24527 74367\n31473 97361\n7153 34235\n12096 12305\n44344 62686\n35470 94673\n4021 94628\n4215 83529\n41988 80952\n17693 23213\n72471 87438\n14479 86385\n50652 92395\n39634 59845\n43832 91406\n10912 68425\n26773 39606\n81269 98860\n79051 99109\n18593 68842\n42532 45054\n470 3862\n1159 56918\n23508 42835\n39564 91541\n63940 83922\n3257 11951\n28625 90491\n59775 84228\n18114 19096\n39120 59023\n25291 47879\n22805 52807\n57623 87069\n2900 60199\n47069 68741\n70050 93450\n31012 70925\n68675 89761\n48347 73058\n4585 83207\n1787 55687\n37362 59290\n2772 98865\n50651 62246\n39746 59220\n18202 74179\n9212 75879\n73157 75313\n23484 71474\n17032 85642\n29779 44455\n42154 47389\n16655 90786\n25527 44480\n56631 74152\n72148 86723\n8474 28822\n564 52272\n53697 89291\n4301 26746\n22857 69464\n45907 99711\n87577 95828\n41641 83881\n33083 74042\n10963 97297\n71852 85491\n29011 50177\n27370 87998\n29840 34319\n2060 86142\n13245 45630\n33216 66524\n47838 64932\n2914 29762\n19481 84570\n12244 94427\n91819 95811\n46289 94497\n74044 77876\n59817 74981\n29597 40211\n42518 44954\n2547 63857\n56466 60311\n54963 86473\n77486 94003\n56139 69430\n49191 79919\n52623 66862\n62839 75078\n67195 77824\n4955 41034\n1091 22937\n52723 75176\n42767 72636\n53806 81028\n67408 78951\n34595 80622\n53031 56299\n17557 75625\n13432 63091\n45791 88496\n20848 63596\n40855 48945\n22732 85321\n31300 41495\n34541 51218\n32548 45163\n18868 70715\n4125 90542\n4869 86467\n12857 85650\n67580 83200\n31231 65573\n2636 95415\n57141 69433\n30292 98668\n20975 50275\n50159 88380\n11920 37103\n19262 75431\n11655 88169\n68138 88298\n17696 83812\n31087 99348\n4564 31558\n79937 95286\n4249 21337\n46628 59027\n44890 91482\n14907 54280\n49825 75413\n34579 80838\n13075 49423\n11325 63539\n48263 56756\n8827 96725\n44005 55388\n76959 87664\n859 69846\n7859 57378\n5367 30571\n5698 97783\n63942 88602\n11530 68951\n84819 90729\n35607 40011\n18357 60073\n57295 66486\n8117 67978\n28080 84483\n28126 55745\n30371 44229\n60417 97424\n29735 56110\n33668 98660\n17680 40257\n42043 47524\n7345 75808\n7102 93671\n33368 95230\n80294 91839\n18877 31218\n7543 64415\n18548 97333\n13705 57013\n5058 32940\n48099 79001\n28736 47955\n22780 61606\n47434 94359\n11855 83500\n76064 90370\n14333 74318\n8341 85502\n14915 85648\n4973 12920\n46270 75977\n28897 65289\n2170 31438\n14629 54003\n26236 52280\n23595 49478\n77616 93155\n7639 77006\n14951 46421\n24413 85033\n87964 92655\n1214 37431\n34679 94546\n23731 28647\n31775 52873\n38293 67658\n48128 55579\n33507 57851\n77302 93454\n40558 41382\n60933 79766\n40805 75100\n1616 71832\n2668 15303\n25705 55912\n60115 87617\n37006 94512\n10500 96572\n21237 49591\n13730 90332\n15950 67458\n15528 56411\n6306 57819\n25376 68670\n1122 99056\n7281 68184\n31005 80819\n45613 69195\n4561 94361\n51800 84171\n72839 92382\n47256 86481\n22629 94161\n30420 56702\n57533 69937\n36475 64901\n43002 78984\n60537 70171\n50543 59049\n52022 99998\n12054 83853\n60678 79953\n83393 86159\n46506 77979\n55527 95010\n11977 48002\n12623 44264\n7013 72676\n53437 85273\n77827 96217\n16083 25058\n24904 36971\n21239 69263\n26830 67164\n24860 47419\n19777 98845\n58910 94243\n56446 88454\n7627 81818\n60685 81958\n29006 48310\n75561 81592\n2104 80920\n44682 60157\n11243 71650\n14085 59643\n3445 41338\n58143 79864\n70733 74212\n4366 35615\n65162 76277\n29807 58035\n67345 91790\n41080 90236\n17872 47034\n39002 62546\n28542 92814\n5717 63970\n45063 92026\n9503 71813\n30890 77946\n66645 94003\n33074 64253\n52026 98228\n20506 82915\n479 15934\n64902 94803\n8023 98791\n21720 80611\n17212 26378\n61869 69957\n53138 88163\n9775 82215\n12386 47435\n3236 43686\n6199 18904\n9533 14561\n54182 91231\n40425 66807\n13017 53663\n7131 86366\n64561 71923\n30300 62431\n93020 93170\n34400 39432\n26686 55775\n42319 74827\n61117 62920\n10746 34041\n2926 25604\n14468 68551\n32099 66131\n14260 90753\n29023 66956\n44028 45580\n5854 49988\n23091 39837\n80447 93103\n21285 39478\n2934 77825\n10745 78327\n46040 48894\n22958 26988\n15445 68998\n13578 78905\n26277 61942\n54405 70103\n69346 92709\n12525 15152\n30936 73468\n6197 45834\n53245 62961\n20218 44682\n72642 97483\n15265 86597\n27242 40162\n3805 27474\n28438 35546\n4667 23900\n66006 71060\n10274 48874\n87074 93322\n35586 40292\n45532 72958\n42219 81797\n31101 52772\n38369 89992\n18578 65274\n56795 77680\n49304 76070\n5752 42095\n40780 50496\n38228 40212\n36906 94851\n12939 40283\n31178 73473\n39884 93611\n2522 70132\n52017 71843\n37890 69805\n13349 65447\n10582 27166\n16232 82563\n1392 87027\n60459 92276\n18809 23663\n35269 88542\n311 13792\n3320 83946\n8280 11723\n70746 89838\n7831 38382\n50598 82239\n2689 99669\n24955 72433\n1487 77724\n34553 84346\n79946 91680\n23446 26155\n17705 97153\n11057 75442\n21015 71985\n16146 76854\n82062 99127\n15884 27209\n20768 54378\n23018 45577\n1363 55470\n25208 82690\n44429 75533\n29925 38513\n43427 67607\n34365 67446\n33188 62799\n22933 56436\n21860 93631\n32747 61932\n31030 50576\n10391 32053\n14624 30659\n33109 82982\n14223 23986\n4613 12578\n29948 90379\n30600 98838\n21365 21575\n20437 44041\n16435 40080\n69612 93387\n34208 92216\n46126 84756\n22113 44105\n50583 68712\n60031 72136\n22955 96703\n35134 67660\n14899 30277\n40440 57104\n31586 78440\n4083 15394\n33313 98060\n46959 62894\n6847 63450\n37710 39756\n40676 87376\n28260 62139\n9777 10091\n56350 96303\n47770 50651\n80282 99246\n11549 57380\n14490 25091\n67676 83638\n45887 93870\n3480 84580\n20526 44752\n5515 68139\n6443 45810\n67458 75109\n51731 63857\n56166 90573\n35455 36875\n16316 36424\n19588 66097\n21304 85822\n49786 53566\n64176 65054\n87975 94040\n13633 16391\n2380 2707\n20590 75303\n31298 99571\n863 12420\n4869 33660\n47987 55106\n23101 58482\n30716 48816\n44067 55007\n25399 26294\n2870 5010\n63450 69133\n2526 13475\n38339 63794\n5055 54437\n64 53735\n25063 34693\n4111 56774\n47916 97197\n4923 49351\n48660 96562\n38205 59347\n32721 37634\n6518 94346\n20739 31976\n10637 22466\n41055 66032\n44662 68552\n26155 83396\n42720 62010\n42399 92683\n16441 68438\n17382 91753\n62114 75984\n39183 81182\n19673 89671\n5193 62973\n15711 54199\n83260 88079\n6532 49600\n22615 94561\n11679 88353\n44717 57865\n76670 94803\n55879 65305\n28400 82944\n68419 75813\n19680 28251\n12644 62755\n14714 74385\n91757 94521\n5774 37500\n9437 60216\n35408 81538\n11863 79508\n81309 92933\n32676 88694\n23001 29802\n14925 20238\n22121 98246\n43793 87155\n10780 45180\n45172 88231\n5451 32470\n53582 74383\n526 12463\n87362 87506\n20555 61377\n97115 97417\n5865 76685\n8752 95393\n3073 70784\n77857 92191\n9538 45118\n20427 64338\n1600 94052\n17448 20482\n19103 22548\n67781 85616\n17226 70015\n14002 23010\n24011 43174\n48315 65180\n7000 37013\n47402 60073\n24893 50571\n20242 59474\n4506 81374\n23196 30362\n4573 36972\n11730 43889\n61100 90554\n13109 29837\n3223 67297\n35654 44929\n57571 68615\n34553 93245\n32933 60255\n52282 91114\n12776 35185\n70101 70284\n41851 73525\n26828 64459\n22985 39681\n14402 19067\n80593 86864\n62762 72065\n1486 99817\n41120 50684\n82797 96131\n22500 45934\n16426 86905\n15267 16813\n78121 87652\n2683 53130\n31860 65236\n13163 72993\n55341 57522\n69760 81919\n9172 16298\n36332 96634\n22100 68579\n12768 59210\n50418 95335\n30977 34944\n65155 77912\n6500 93744\n30329 66612\n14860 74197\n25609 27331\n9851 69735\n39522 61350\n75524 83175\n58343 66664\n19410 43204\n78625 86268\n63993 91560\n50041 52488\n40813 60286\n15108 59471\n49325 63311\n51860 64579\n82265 99159\n7065 44854\n30513 77184\n33226 92705\n44230 53769\n50457 98940\n79540 98119\n39267 76352\n22084 43815\n6868 14912\n33919 72291\n49423 59498\n22919 93280\n7146 78619\n29303 32277\n30358 59339\n49742 86818\n72960 91634\n13177 13343\n64772 79428\n52481 84329\n31095 47874\n44388 92725\n13566 17571\n45915 94587\n1374 19374\n47561 50367\n34736 42579\n43397 55508\n57008 86041\n23667 53309\n29078 39625\n6066 99692\n51514 79465\n48828 87352\n4003 54901\n10784 91032\n11679 52477\n78148 87421\n48560 71352\n57182 89874\n19587 49124\n19965 65902\n41729 71920\n32871 36006\n78090 93230\n29326 71656\n74485 96397\n40075 48424\n2883 28381\n46226 49847\n11262 52557\n63932 72681\n70556 80537\n32979 36293\n54569 58471\n19780 74641\n19526 69319\n18085 77840\n13149 64341\n20193 92409\n35849 99703\n27227 39523\n66439 75994\n35783 89390\n8425 11364\n5280 91577\n3673 73744\n2606 91724\n11532 84362\n68540 87527\n9546 60489\n24324 84087\n22074 93696\n18529 80355\n61063 81964\n42846 74816\n78602 84515\n56512 92706\n29882 50781\n51449 57480\n10080 84231\n20720 33834\n45541 69642\n2664 14593\n29508 84173\n33445 75360\n35051 65194\n41133 54406\n43948 70035\n30840 58346\n23243 52413\n9324 59362\n2334 57094\n1077 68708\n8335 64213\n51811 72953\n270 50725\n46697 60751\n15258 71922\n68280 91870\n49889 84298\n45750 52961\n17420 63750\n22803 98745\n49309 57442\n45150 99259\n36403 46135\n26003 44141\n3696 95394\n91063 92924\n5680 8903\n60886 78135\n4702 37517\n9560 10765\n64974 88545\n60796 77521\n25097 59151\n79617 81117\n15129 27499\n31662 71334\n47564 51329\n41843 81280\n62028 66703\n22635 69255\n85096 88320\n43131 74682\n8797 78062\n52562 56169\n12148 22823\n69326 83171\n897 96278\n35837 65158\n41001 64226\n43270 53577\n54865 87595\n21997 98887\n17385 53285\n48459 90711\n82955 87769\n43537 55982\n34369 44999\n56011 88346\n77646 82518\n34200 62211\n45812 67410\n8388 19717\n19355 69569\n30761 46523\n30999 95426\n1197 50737\n5010 16833\n30590 66608\n26386 74834\n28054 45451\n22605 81139\n7548 51859\n2893 88484\n18603 81184\n29577 86824\n21790 86181\n17882 70661\n34910 69665\n23245 47563\n7756 86636\n50908 69475\n8541 71064\n1191 23416\n30672 68826\n31873 85231\n19569 40708\n101 85623\n64417 69423\n41327 96166\n8479 84240\n26297 66289\n47626 53316\n35372 92116\n55365 71873\n87823 91827\n33359 49286\n56454 74709\n31636 72921\n20632 36438\n20707 84030\n5016 77540\n42524 87253\n6668 17959\n40828 42050\n59283 87252\n64822 69788\n63718 68514\n35793 96911\n58140 69343\n67151 74709\n47805 68165\n11794 52577\n2246 73225\n54705 69253\n80205 90106\n14044 19872\n55311 55601\n67676 70685\n69422 69556\n59516 59877\n62544 84582\n15799 35259\n15724 50737\n82766 91009\n7936 14797\n876 53146\n32393 93343\n4186 27466\n685 63383\n38442 92131\n36017 47524\n4422 25253\n12258 66731\n54106 77776\n35641 60297\n33613 96341\n42913 51705\n6132 50073\n33244 55385\n58715 82330\n50903 62544\n36587 44206\n23063 50314\n13904 44321\n652 12813\n57417 68454\n13415 62815\n76209 87241\n35613 69640\n5516 17772\n50578 71856\n41187 55641\n71458 93779\n54114 73569\n87389 95893\n61604 70153\n4161 87551\n29729 56890\n51931 62441\n9466 37519\n60293 90248\n55314 78441\n47199 67206\n1327 38568\n13404 28427\n14560 51263\n16588 53288\n6879 73120\n20926 59703\n26297 61420\n23672 79842\n21796 46254\n17595 72036\n51406 55138\n44119 51144\n7933 61357\n34965 67914\n933 64308\n75245 97480\n47270 57887\n28543 95998\n25309 76709\n16725 59518\n5487 85335\n58483 63424\n23652 76077\n38605 68007\n3943 98846\n50587 56423\n74987 76797\n3017 68511\n49812 90755\n76288 77672\n87163 87986\n22693 27436\n7803 79902\n3126 94287\n50308 55686\n36673 97338\n11694 40461\n22162 56009\n4987 19858\n20105 27956\n5578 90912\n13270 22410\n13156 77860\n59950 67052\n29764 71319\n10752 83881\n56861 86860\n47938 87399\n11656 87389\n52541 72231\n18726 68916\n29439 71317\n68901 91168\n91829 93685\n50987 99285\n37003 87938\n70424 99147\n47723 54789\n84417 90491\n78502 82945\n5107 87444\n30771 46235\n24427 55875\n26570 76200\n85893 90550\n28123 52560\n16685 67778\n75975 77982\n16325 32089\n63308 81207\n16161 99413\n66988 73672\n29574 42607\n33132 67376\n52034 70291\n45767 98660\n78312 92796\n69095 84683\n30016 49209\n34556 63412\n7130 62199\n71164 91927\n19552 96962\n75453 90679\n4301 17832\n50602 75255\n61691 76933\n29144 69280\n22455 40153\n40439 95610\n17859 87248\n51702 83247\n2035 32863\n84845 86477\n43377 62393\n6497 81398\n4223 18483\n16752 86697\n66764 91818\n3031 17997\n23301 75681\n14052 82603\n1483 62732\n69456 71179\n9983 82935\n94405 98917\n68527 80387\n92416 92535\n2226 94052\n76519 95513\n27322 40632\n39502 45758\n17585 73835\n14491 84351\n816 39956\n53833 71891\n15352 61272\n64374 92175\n28382 38991\n19218 35462\n73 9022\n742 79046\n15395 18672\n71509 72431\n39523 52422\n93251 99765\n48976 78858\n36009 72046\n23666 93360\n373 91300\n32658 45764\n59964 69795\n81339 87702\n7159 89736\n40122 46918\n13392 46003\n26471 34773\n31885 84012\n64132 96494\n67433 74922\n25535 59857\n62956 95005\n30432 32479\n3989 68024\n61949 65630\n31977 97620\n61723 66574\n11684 90419\n11678 35169\n23242 53007\n3852 20326\n28593 34927\n27707 82954\n53357 75888\n53698 74723\n13356 18336\n51728 98870\n63231 70680\n8747 80054\n42450 95364\n56962 58464\n31142 63649\n3768 21759\n50071 87340\n65640 85659\n19533 27105\n20182 96947\n66252 91286\n19268 28256\n94596 99563\n60268 82997\n35623 96430\n11485 84885\n7384 79732\n67033 67066\n18443 50370\n28922 34095\n38537 98828\n3540 55559\n12660 55999\n15491 92539\n4378 35001\n18388 64273\n73679 87853\n11210 84440\n71805 75227\n62606 71449\n45216 73231\n14064 39893\n1997 62475\n17630 78698\n3023 11085\n14677 70662\n3210 6387\n17197 58116\n38769 41389\n64920 72329\n3014 10133\n6921 36224\n25684 65325\n98855 99827\n40066 52144\n46059 58980\n16447 61448\n8966 21283\n52506 67492\n77057 81104\n3399 95421\n73903 94995\n44203 45547\n42023 67199\n49709 93267\n45554 53761\n25951 74859\n30131 72526\n46607 81118\n44008 77686\n27354 69211\n9975 49712\n70069 72799\n73853 93056\n12691 94906\n57015 82747\n13420 57071\n60234 80422\n43813 64207\n55760 84492\n35732 68382\n11338 96467\n42699 60998\n35789 98914\n7828 47961\n16312 74112\n60893 74637\n40429 56069\n37700 86826\n9819 70143\n19537 71843\n54849 96977\n11965 26052\n1755 49143\n42597 57815\n86154 86800\n56179 73905\n48553 83025\n46389 89402\n74191 76657\n37877 54899\n20871 97623\n62647 87826\n26830 52338\n15780 28199\n54535 71504\n20992 52737\n75302 94687\n47507 56327\n66600 71345\n25087 77257\n3627 8334\n8596 9502\n68244 70790\n19383 20894\n6932 61665\n94165 95249\n62097 83928\n32499 98717\n20223 53854\n56150 59325\n76522 81328\n8835 82123\n6782 52548\n39987 67122\n21018 59283\n6965 97463\n51294 79851\n19303 48308\n45355 90808\n499 49783\n36524 42884\n12119 92501\n41508 49930\n69967 74971\n21544 89305\n65781 71484\n15548 27428\n44312 71274\n10626 76675\n54429 97060\n22063 38033\n14840 29425\n9972 15934\n3184 11598\n11491 54434\n419 91627\n40287 70039\n87754 98174\n37675 78224\n18337 71558\n31090 71846\n3533 43920\n46996 61894\n34301 58460\n44483 91821\n18355 39406\n23555 53315\n48316 53665\n59502 80626\n734 97508\n12514 18187\n12692 95144\n49473 60176\n7067 64174\n16963 65953\n31518 62666\n5740 11596\n39607 50744\n10912 68202\n2926 28836\n13090 84481\n26320 70341\n21225 23601\n34191 78904\n4679 31004\n21680 74519\n38677 96095\n80395 94243\n91741 98051\n35033 54931\n9438 87737\n33337 87029\n29480 46238\n7028 59848\n77110 90775\n47945 91612\n54806 60877\n6031 17463\n3594 29719\n4936 29735\n61235 64954\n31612 97895\n8383 88488\n63373 91418\n71512 78700\n21969 79845\n25087 71255\n55163 63305\n15508 66982\n95075 95306\n33482 50994\n48366 49776\n31232 66213\n14109 52696\n19728 88991\n51588 86727\n54471 61946\n9655 88799\n64181 85239\n35467 65284\n6997 69881\n23112 27477\n8529 50941\n50173 57161\n67047 74261\n22491 33522\n28389 88977\n9249 20308\n39665 51285\n13041 95125\n69769 94886\n46055 87493\n38116 90948\n37187 85041\n88975 93950\n28427 68643\n14734 67132\n9936 19880\n6564 20876\n61770 96438\n16514 42919\n38601 92269\n4929 69284\n3270 97100\n2126 49685\n31087 32245\n26789 93819\n68551 69299\n4225 88527\n38227 74143\n50881 88631\n8832 65117\n80325 88107\n4554 50881\n19995 76137\n10430 98586\n32036 51152\n45776 88890\n1652 72980\n8781 60106\n18475 22299\n33117 48109\n29355 41571\n22106 50748\n17522 92538\n12721 15191\n30986 51161\n20591 88302\n20327 90099\n39208 84144\n28001 61110\n29074 84796\n32854 37475\n34890 60165\n6794 38890\n40052 84173\n13759 52685\n8800 91377\n57173 80282\n2901 91082\n71806 97898\n96431 97370\n6616 90887\n53817 62708\n7182 37837\n14747 79601\n33373 51519\n48229 86315\n43265 52911\n25632 59538\n59236 75988\n44234 58078\n44291 57504\n29981 35763\n76664 92746\n18786 80405\n44135 50236\n66375 77270\n60372 66134\n6361 11226\n16857 63662\n49511 68650\n37259 46698\n8801 77431\n27310 53828\n10013 25683\n29669 91786\n52540 90018\n61680 87197\n23268 59970\n14831 74203\n32764 61784\n48579 79942\n90017 99955\n37343 98391\n66625 71998\n30933 87843\n20906 97466\n44824 92526\n15312 89864\n27596 82880\n48832 55130\n53232 63638\n18221 59371\n27041 55303\n5260 83494\n25606 78378\n34419 87323\n47734 77225\n79745 92058\n8527 61462\n21991 67960\n65 49116\n13277 56732\n2816 25638\n29181 79831\n841 68896\n41949 42401\n24824 72349\n30908 82825\n49715 60982\n51512 95010\n51684 92646\n3295 24297\n60632 85216\n2751 25463\n18311 37540\n28666 74698\n16877 90685\n9690 26968\n66857 77721\n23020 91986\n43317 72006\n12881 16345\n15565 79287\n26059 28130\n18708 64317\n51534 98447\n32895 87231\n78360 94391\n6104 94195\n11713 27507\n15146 44264\n60678 66043\n39864 83425\n66397 75406\n54755 97833\n12825 45896\n13663 24484\n78138 79521\n18638 77059\n37361 98954\n9012 10046\n79605 80138\n87227 97005\n50382 98161\n28978 46420\n11399 81587\n14767 76821\n20296 53278\n26186 87570\n33669 35480\n56434 98744\n49727 51474\n19518 44798\n1698 14175\n10368 51918\n59355 99273\n34350 83726\n285 89855\n4923 44845\n95221 97935\n30992 77832\n61779 81095\n66584 69207\n57665 88519\n12905 67912\n75930 94226\n187 28811\n27820 29340\n37308 50734\n24614 35751\n62614 65424\n39523 63487\n13662 75613\n41807 77777\n6368 36938\n83071 88124\n8344 34454\n47111 76094\n6391 85804\n42821 49188\n11162 77275\n29826 60048\n60598 70685\n33235 75781\n78305 78838\n37095 51326\n68754 85616\n70392 77612\n5286 18858\n21262 38622\n73898 86193\n91998 96700\n43445 43864\n5287 28200\n16897 57956\n77058 87155\n32809 50122\n19967 44585\n37655 66289\n10232 39358\n27300 48992\n54313 80592\n31256 34651\n69994 94268\n25039 42882\n42074 54575\n78779 83478\n53626 87218\n82726 89749\n3030 84513\n19910 30899\n4190 58539\n39917 86338\n40545 61689\n54036 85665\n21723 27305\n67888 87167\n49991 84284\n9906 53718\n41673 66756\n5206 90905\n16448 23117\n57130 87738\n23078 85016\n53495 75753\n42923 97337\n75187 98050\n1261 22742\n42095 92548\n90396 97726\n77432 89904\n33710 89510\n133 9913\n21665 63751\n59155 85667\n19189 90293\n79561 98836\n56944 89103\n50851 84550\n42250 77047\n41549 93647\n7952 40255\n327 33496\n48704 70377\n34216 96231\n75919 82023\n40951 56835\n7813 51602\n6898 68994\n33965 39511\n64836 73860\n30102 77626\n22917 69609\n51386 70507\n4849 77098\n51011 69093\n28599 79731\n15712 15940\n11940 58289\n640 83039\n70974 86016\n69933 75238\n45732 86601\n26522 41977\n18546 53751\n33002 85170\n47254 72110\n15867 20374\n54543 71572\n17124 47451\n6851 32233\n17898 33976\n13350 25313\n4041 73256\n76562 91939\n2190 37353\n7043 23404\n76483 84167\n37665 97940\n38436 50262\n40747 77009\n14160 17867\n77532 78140\n56130 61132\n33415 57739\n74642 78142\n57195 69333\n3617 84641\n4803 14420\n35625 91335\n4379 75739\n75537 93225\n48439 58995\n5836 41432\n2698 28962\n60524 83419\n33378 62353\n45478 84100\n26210 96292\n18277 86054\n49638 54862\n3721 14488\n19137 57118\n63385 96519\n17088 93810\n28808 54203\n1859 36022\n64890 67859\n51723 90043\n12894 83548\n3364 26987\n61834 75298\n33040 66705\n963 39606\n12434 41551\n22687 28414\n18270 94234\n22887 82301\n46043 98259\n41613 83315\n24654 71047\n71514 75929\n39883 50237\n48102 83403\n17194 59149\n19169 67162\n6529 53590\n22489 48098\n16207 38861\n30145 65515\n65331 84238\n52384 60919\n3067 88732\n76964 93119\n64668 96542\n43625 77715\n91772 93933\n59356 61834\n30992 93736\n40562 69887\n41117 95255\n63737 80712\n17740 48662\n1865 93526\n23028 40849\n55448 92079\n18979 94592\n54512 98820\n28042 76208\n34013 56924\n2163 86842\n21660 96095\n34631 68444\n47729 62924\n20983 56247\n74160 93090\n30162 45759\n8897 41627\n65085 65835\n724 99922\n4519 55656\n9479 28994\n16128 68089\n6971 29970\n31971 85192\n24310 53723\n27497 86673\n15234 53028\n2272 35121\n63947 69657\n41811 82813\n42098 78419\n9417 11733\n49984 89484\n73854 98104\n48623 48779\n45594 67794\n84669 85971\n29126 89459\n4094 41228\n32001 80416\n38971 71686\n35824 48135\n16696 85817\n45485 56208\n21485 79506\n23810 97274\n11510 46608\n15215 75242\n62265 78897\n29397 52906\n25132 72313\n25051 35255\n17823 42742\n8435 69173\n62912 95280\n71925 74240\n33122 47823\n16894 22936\n32402 38974\n17200 45624\n45947 96385\n17766 66099\n47167 91533\n42352 63350\n10143 95352\n8064 97996\n58879 80229\n6280 51515\n19627 75413\n1454 3645\n10818 73963\n5542 96031\n3570 41110\n6224 38673\n6317 26018\n29032 64316\n18288 20320\n32634 86568\n59703 72382\n13179 67806\n10428 17227\n37323 76382\n56602 73068\n43098 75694\n24605 55806\n6050 21003\n2585 20247\n53204 65139\n53280 82994\n13556 57342\n12482 64605\n36033 97068\n13790 82473\n56719 87989\n29504 85762\n23867 60297\n7590 71381\n25057 98296\n29685 93003\n28769 90017\n14831 26896\n30081 61692\n51080 85791\n32922 75421\n53970 80063\n1269 61142\n2419 70155\n53173 65336\n53245 71092\n33279 47912\n37178 88027\n57930 72869\n27730 36965\n33020 50136\n50444 80473\n66159 86758\n39828 87862\n14170 95769\n36124 77326\n24275 94928\n26602 70720\n10364 32312\n70106 72791\n72417 91257\n20302 51766\n9789 77046\n45929 55482\n3283 21911\n43378 91770\n55203 85598\n68145 80807\n34285 60385\n22305 64540\n40138 81210\n35965 83894\n97282 97774\n82305 85661\n10712 40794\n20561 95714\n54793 61438\n19033 99567\n74595 97428\n40202 60019\n37233 47679\n13575 33536\n5224 84953\n5886 21983\n93043 94734\n43126 54716\n39485 45144\n14949 41846\n5101 96735\n20904 81107\n66196 93830\n7635 23527\n28952 97620\n17118 35987\n33225 55100\n1533 52940\n13756 84585\n13492 30415\n46425 88466\n35257 45918\n51480 88308\n41528 55502\n4979 36849\n17506 89992\n80087 80886\n51563 66037\n51800 85513\n32086 39364\n44557 58146\n32393 94285\n51747 95324\n11866 28078\n22133 82105\n6469 61029\n66304 83420\n39200 62210\n21586 41443\n45472 71656\n13015 66361\n2403 55152\n7234 26006\n45740 74052\n69295 75514\n55419 81808\n61532 84696\n49246 57270\n45797 73886\n5159 28641\n6512 19724\n55237 93502\n55025 85469\n10093 69119\n4772 90097\n55492 77768\n45756 49105\n50705 58534\n3866 51234\n14722 76776\n35470 41178\n72417 97679\n75397 82142\n28375 89418\n35299 60410\n62480 74931\n71729 97960\n42771 76733\n32038 84184\n10354 92946\n64283 80280\n45472 51750\n74780 77774\n43989 55644\n54948 88577\n27349 88603\n50716 65827\n15777 26907\n19739 88613\n42949 67128\n44513 89493\n17686 77830\n18229 52975\n10935 55221\n11443 32855\n79256 93965\n61151 79609\n54380 57380\n26165 68120\n21062 88019\n369 49273\n1498 77940\n79258 80101\n22896 72372\n3444 83754\n15348 26465\n36832 38467\n526 67193\n57616 85516\n35990 63806\n11021 94385\n28127 32131\n44229 51886\n2073 6626\n32546 47250\n44620 56315\n11075 82581\n11747 96511\n4497 82287\n57838 66518\n47181 93822\n48706 54484\n25816 57051\n63120 96714\n21766 91350\n68740 89587\n45310 51920\n37732 68003\n28263 38873\n40894 77560\n47576 79512\n22577 81996\n24533 58488\n36398 47723\n56213 60527\n54135 99887\n45220 99923\n23337 31989\n61535 88719\n19577 32357\n30495 78425\n7205 8790\n66303 74305\n6080 40152\n12710 41840\n30813 47494\n36756 91497\n21049 32446\n86078 95977\n14167 84164\n20832 72191\n1961 19436\n61065 85285\n76766 82708\n61801 83127\n65891 90643\n41816 58404\n30199 53433\n5948 26407\n5857 29069\n82287 83608\n63588 96810\n133 91630\n41890 53056\n19610 85588\n53682 83297\n37640 91971\n38284 59001\n38655 48035\n2784 37776\n18522 54227\n17979 93751\n25603 47193\n38103 64882\n87040 96055\n53694 68419\n40657 55864\n5117 30451\n17612 51913\n11641 27077\n31999 94145\n13137 82397\n474 8905\n4220 72485\n3192 51931\n27116 29894\n90041 99078\n4604 45179\n49215 53289\n7596 30494\n13021 32802\n13794 44541\n63520 65380\n69460 90022\n64959 86040\n703 60517\n26477 73832\n24126 68727\n61688 81920\n24760 57431\n39557 86499\n68472 98039\n66118 80538\n77440 84277\n83469 94822\n40839 42724\n51950 88245\n31934 80208\n37657 98488\n18614 44901\n12266 32643\n30984 66571\n2212 93844\n83001 95231\n45366 93699\n36134 70909\n12079 86644\n42697 46684\n3688 46926\n14996 69812\n34851 64854\n47679 72412\n19682 32052\n24625 89607\n28596 72584\n449 41698\n3986 8423\n62898 71099\n33735 78454\n5449 50374\n13709 63443\n10701 84852\n57721 85132\n14773 75062\n8892 56635\n27399 52778\n62633 98227\n28881 74539\n13913 56545\n29553 90835\n6827 27651\n14686 50954\n14421 23216\n48072 81106\n38058 44493\n5111 88550\n3187 39173\n13223 88113\n10204 61492\n67608 85322\n44031 71664\n34469 41126\n58143 59445\n21916 61878\n52887 68030\n24332 49874\n12161 43500\n42883 79750\n36234 42254\n69741 86802\n10525 78050\n3248 38919\n24996 33461\n19030 83158\n74408 79905\n4088 21816\n50058 72941\n48306 79901\n72053 88341\n17783 97619\n51297 74784\n605 35127\n3570 73277\n44301 71311\n27414 88500\n84185 85029\n16484 37828\n71446 89986\n7245 49603\n46128 93716\n347 34706\n55912 83533\n26853 52132\n6661 44132\n5544 70182\n19712 32946\n6992 8839\n23031 77242\n13672 76520\n14510 23516\n15681 36150\n9803 21023\n28909 73164\n17223 52380\n17010 71370\n36915 80230\n81939 97703\n32545 88616\n17289 22819\n2673 57013\n39295 82982\n53948 57345\n353 40245\n900 97569\n26777 46697\n19414 30308\n56551 62378\n21711 38458\n11163 81192\n72858 96881\n32083 92554\n59264 83246\n479 22326\n28317 81089\n20371 34907\n25640 30262\n37304 41887\n66373 85134\n27019 30320\n23180 84118\n19051 32579\n27812 66298\n45440 67485\n25689 80166\n4806 24136\n42138 95951\n11749 58059\n328 46688\n45360 93994\n1724 71234\n21437 92542\n49488 87056\n40821 88160\n7795 86745\n75895 84773\n61581 97814\n59402 63075\n86331 91737\n10777 95817\n17233 43565\n15291 64436\n13816 76772\n47063 85170\n41143 70617\n1614 56767\n46939 65733\n20754 71950\n11920 74846\n43199 72763\n54417 81332\n40262 53618\n34046 67636\n16832 17991\n23948 31082\n23235 64584\n45059 94541\n56044 70583\n59936 77474\n13220 51997\n11393 68284\n17083 63453\n45387 87713\n2936 8533\n38280 72706\n64824 94942\n2859 52714\n45654 49284\n33886 78024\n13754 41867\n58340 59188\n54160 88994\n17202 27645\n21232 66054\n34547 36975\n42407 84245\n12792 41518\n37038 66793\n5170 97950\n50647 85804\n12480 39867\n26130 91424\n19782 71381\n33606 38417\n54169 55585\n15922 59626\n633 19048\n71044 84699\n33787 51546\n47553 71268\n16226 86211\n44556 60508\n378 91245\n10803 10993\n65190 76282\n23739 52598\n19327 85975\n8810 97458\n66304 78794\n7153 44365\n4344 76947\n1161 42478\n4248 53918\n46093 55509\n45926 49101\n53828 68478\n44550 58870\n79339 94536\n42788 74908\n12392 45929\n25224 46147\n72450 96176\n19270 25159\n50386 69800\n43101 70700\n55256 69705\n39755 82998\n22326 68407\n17960 78847\n23447 71256\n11909 22806\n47883 65629\n5814 89918\n47576 63657\n16068 85597\n21721 35477\n57633 71052\n76931 95985\n79971 99810\n65358 74499\n19435 29583\n79364 83712\n43729 53661\n43504 89508\n36660 92544\n712 9424\n45085 86221\n4134 33221\n14981 35051\n33298 52166\n3048 94266\n28882 45001\n12430 56100\n50033 77262\n45719 47088\n8962 9033\n42592 67808\n11878 81518\n44544 94596\n4244 54954\n27408 74519\n20786 84152\n54010 78682\n56232 98838\n48629 81196\n67362 95164\n45867 49284\n21064 42230\n36573 50374\n4482 43408\n58522 83589\n44485 75813\n6263 53690\n1647 54012\n68979 88125\n5343 10053\n53222 92477\n56290 68423\n10385 51597\n29536 50293\n60245 87552\n2193 73890\n23360 50529\n16920 96028\n54796 58955\n93958 97658\n56059 56321\n1669 61848\n47888 65593\n43648 88533\n25297 49896\n67640 87321\n34723 44196\n10543 12004\n6148 81457\n32431 62613\n18504 79861\n12315 27661\n27459 33176\n20410 97200\n26346 82493\n13579 47771\n30430 76424\n2744 33344\n968 42543\n51578 93433\n15134 15719\n56462 82183\n49456 60388\n12727 38078\n39920 43146\n29698 62523\n15896 89373\n40602 86691\n28630 34940\n36097 70774\n909 38994\n65702 74244\n27933 29484\n19318 71096\n12231 90055\n52880 96552\n40180 99168\n3877 39135\n10005 99087\n64899 79992\n13322 49330\n30283 60559\n9396 78784\n29177 70823\n21698 98024\n52120 77754\n38968 39817\n50074 64014\n42691 44412\n70906 81640\n6489 86064\n14372 29509\n35518 61423\n70637 91989\n15939 90932\n20441 54039\n38044 54484\n2886 94783\n46781 70783\n3293 85649\n15131 26057\n13515 16700\n2309 94897\n4296 87980\n6824 33114\n14581 81777\n20339 79272\n36910 97283\n33487 94574\n23389 63403\n38610 80845\n14741 28484\n23127 54264\n44962 78831\n23353 90820\n22601 77225\n28073 78926\n8970 87916\n3731 32470\n74608 96695\n50650 68952\n52813 92168\n40569 82384\n75178 98597\n55522 90290\n16279 85176\n36647 53621\n63711 91529\n5184 47729\n80453 84668\n4644 73324\n52286 88290\n37592 85736\n25663 50482\n36694 99301\n2921 65110\n55322 85548\n4003 52653\n33259 91002\n35679 70226\n88399 92134\n11243 98929\n34614 57531\n42549 85951\n39268 56819\n23853 67938\n53288 87746\n65689 68024\n74498 87292\n3772 53914\n59107 69457\n46212 97473\n19490 37914\n17139 94581\n39338 74213\n38722 81639\n2225 19396\n33522 36110\n13858 91913\n60841 97193\n3848 95261\n10764 94772\n59000 96497\n11330 60024\n17641 72059\n29747 52253\n21627 29829\n27004 80088\n21477 22941\n29342 36956\n87206 91204\n50790 55160\n4658 94804\n29486 67982\n38510 55280\n9472 56750\n35823 75879\n39474 58904\n36817 79597\n29653 31567\n75408 98849\n16200 20069\n31748 71987\n39949 46111\n1028 98593\n18029 84901\n18638 43309\n6576 63071\n80205 85468\n3724 75552\n40843 45267\n8086 10887\n30039 43521\n71928 74142\n24850 27929\n10418 89346\n47762 96055\n22036 90743\n328 64050\n40864 95096\n54680 57714\n26969 74760\n12240 38037\n52597 79588\n49491 97198\n41041 67090\n21201 24150\n40965 83107\n64433 93069\n21019 23371\n22697 93700\n460 46812\n26055 72701\n33899 86499\n60355 85253\n19976 93819\n45699 60211\n3127 19331\n71848 89795\n3403 25697\n80633 93130\n2829 96807\n40164 67341\n38255 65622\n19477 50375\n42252 84893\n44689 47217\n33535 62345\n2675 86724\n40779 70894\n30155 67234\n13939 90786\n8557 62238\n57977 91706\n61681 90398\n91711 96674\n51188 76776\n60965 70354\n92195 97290\n60387 79988\n56441 60642\n36016 63027\n27258 37306\n11579 95745\n7832 88199\n45060 68053\n33861 90562\n62579 93808\n31684 49432\n88740 89273\n40710 83731\n14872 97881\n52739 83001\n694 82512\n29475 88606\n3536 83330\n47450 74470\n14200 94036\n18794 85213\n47560 89270\n70122 83792\n70656 82917\n19366 90820\n44334 58751\n8256 78112\n14703 98207\n39588 55633\n78229 91480\n17418 51170\n29204 98486\n76682 82967\n52878 55577\n25467 67072\n9935 26884\n32576 93133\n22331 42139\n17399 44028\n66449 74285\n34519 90548\n79409 88133\n8097 95262\n29203 59844\n6015 8426\n2801 51227\n20590 26702\n4531 78214\n21143 81734\n9016 71547\n23374 66581\n20477 26583\n31499 84775\n44134 75850\n4722 83825\n36416 98002\n86882 87792\n33269 85374\n79070 96713\n14083 68550\n34550 52223\n7072 36555\n10140 89426\n20256 32759\n22542 78920\n45106 94301\n21265 88702\n31649 86578\n13640 33080\n23262 90817\n34695 74476\n26884 42216\n39137 55052\n35433 38357\n29544 86478\n89936 92641\n29893 36726\n65076 66071\n3093 68799\n16400 54640\n34985 51991\n22205 30051\n90956 97653\n632 47019\n30306 54404\n28835 58070\n31634 44214\n16935 89311\n91532 94063\n40518 70111\n8266 61601\n67205 80625\n44904 99286\n51837 99718\n56322 98981\n42035 64409\n41652 74974\n20799 37350\n12693 40657\n6367 84960\n21053 59034\n9241 87786\n73569 76534\n81621 97010\n33297 67584\n17211 82416\n25930 43257\n8162 69744\n46753 94528\n17809 36491\n77921 88087\n82219 85447\n48357 95041\n81913 98673\n44620 74008\n11835 30032\n15031 98852\n1723 54018\n62700 90040\n2403 33909\n53480 65367\n50263 74369\n32227 50928\n22785 81132\n61636 78651\n11618 22822\n55034 60132\n51591 58653\n46502 54462\n28402 68201\n29577 97638\n274 74153\n82625 89440\n50251 78508\n9836 17349\n13939 55939\n59137 62967\n12512 52386\n17061 37891\n77030 80519\n64679 86410\n12131 99733\n27115 78510\n13172 86332\n49689 66399\n24927 89997\n56933 70238\n15757 88016\n17840 72134\n43616 87411\n61445 75380\n62628 66294\n5988 25824\n25363 96006\n6855 74535\n41569 85612\n12521 17759\n58227 84531\n40503 91536\n65712 92929\n65595 70754\n70926 77503\n13823 74960\n449 17577\n90280 95705\n9812 84048\n465 80583\n79883 91825\n22285 57662\n5693 52639\n41657 57189\n17137 19803\n20128 76510\n20299 54439\n33471 96604\n46915 90962\n28771 59034\n57759 68253\n67256 90858\n69947 78953\n16395 61341\n42485 84850\n34394 95864\n4506 81520\n19986 31833\n40230 61545\n51904 81938\n16236 33499\n19195 86480\n36405 72056\n24282 88385\n8586 92271\n1585 86473\n11193 27349\n49142 98322\n12288 51812\n23799 54471\n90943 98389\n29675 88266\n10962 80319\n41106 65460\n46483 49814\n462 1528\n29799 86132\n34912 97889\n14823 33283\n43536 68414\n66966 80332\n38595 52833\n6410 38328\n51936 69301\n40539 87101\n50860 69023\n20478 85994\n58560 99976\n63570 67608\n43443 64554\n507 16830\n53043 68940\n46107 48971\n21260 87721\n30071 33478\n12557 81051\n39643 86716\n9617 55603\n37114 99186\n10259 57808\n45309 97958\n1545 69223\n9076 31754\n22722 73214\n14551 70205\n10944 18762\n44122 61745\n11621 98376\n71709 81597\n377 35299\n22383 36030\n8065 13647\n16545 29216\n70495 90653\n53048 74521\n39553 41764\n26253 29373\n96428 97210\n1252 6951\n46509 78636\n73591 88424\n66074 88659\n70441 76398\n29519 48088\n8152 66211\n68479 88707\n84156 94041\n59143 97421\n56047 72608\n32661 43011\n42147 70066\n12933 30596\n20426 37126\n34665 89495\n37279 45448\n21886 86918\n15409 25220\n29784 67123\n2452 51713\n93184 96330\n19225 52544\n43913 54375\n75096 83846\n1954 11197\n2986 21410\n13200 95281\n47387 68927\n82851 84492\n45223 89115\n17872 36755\n8414 76041\n5991 73586\n38207 48601\n31073 36211\n3769 18159\n1310 64174\n2308 14945\n26517 41712\n59907 90885\n26586 39134\n6582 48858\n16652 63064\n74839 94520\n48601 76714\n7422 31686\n2184 63675\n46198 62744\n12708 83222\n514 96907\n876 96480\n13535 51209\n10851 85109\n16656 99748\n26440 71813\n42167 51436\n6105 63846\n77903 82038\n2709 43205\n18918 95936\n43171 99440\n45673 58457\n7237 15979\n33014 81654\n16318 92272\n52692 88193\n7263 51748\n60271 92536\n24818 48223\n52430 66713\n54396 83002\n24136 40924\n33820 86060\n14744 86862\n7135 80974\n67166 68008\n44814 77274\n276 35235\n83909 98226\n32540 94116\n12432 67177\n35954 99432\n29570 96993\n63307 85408\n31891 59296\n24167 88782\n48493 72962\n31534 64424\n4813 48609\n19095 97417\n56531 75700\n1885 55649\n12388 65815\n62189 91991\n21752 89602\n41954 72734\n62104 79899\n50986 65344\n16736 30646\n22086 89006\n29066 89715\n7497 74414\n7405 51793\n47703 66827\n21334 74401\n8255 94264\n12158 51062\n24451 43080\n56290 59624\n67260 88518\n12588 51797\n57454 77182\n19558 42309\n24031 74272\n66536 78872\n13067 76685\n30169 60913\n73618 84975\n43233 52292\n22745 88974\n29384 49974\n29207 69644\n39956 83585\n31142 72572\n53256 53479\n68960 80941\n68497 81884\n61772 90828\n20403 75746\n39935 57590\n22774 98104\n39376 51944\n36541 58229\n30662 95771\n55925 92296\n3730 95623\n17859 96142\n27936 93589\n39500 46872\n67977 72741\n715 13753\n15565 44573\n46686 80981\n45638 58034\n65123 99354\n17856 44639\n52093 73255\n8899 57210\n55556 83020\n20147 68568\n52903 57306\n3083 82938\n48106 57239\n74502 78240\n19486 59484\n1801 98754\n25012 41350\n13372 64185\n45773 87622\n34964 73285\n48594 91450\n28496 54982\n76120 99586\n1551 53140\n24760 78470\n2457 66429\n3147 38552\n15584 51424\n16897 73954\n82952 91540\n71318 95406\n69839 71310\n31746 77304\n22870 98277\n67296 91660\n11495 78333\n6844 13603\n66093 76021\n20511 46957\n34419 84587\n20489 60471\n80036 84217\n35783 88957\n33488 49317\n20866 96841\n36822 73801\n16188 24624\n33327 92939\n997 68571\n68154 82690\n18552 59494\n96210 99617\n1106 6921\n80392 95374\n52554 80442\n28589 42428\n38593 62524\n33645 76682\n1040 60585\n208 77545\n21313 60710\n36090 64717\n2027 29384\n40988 64912\n29333 57410\n6644 26388\n9985 56917\n40243 56085\n14561 89085\n84928 96811\n13974 98975\n45010 95675\n1447 90592\n23397 42938\n44035 63105\n54691 74973\n41498 44542\n13078 45715\n29781 71165\n63943 77055\n6336 74950\n28206 40890\n67990 98569\n47638 80179\n41444 99011\n28309 50391\n33024 92206\n73997 94829\n20336 76609\n73892 98038\n70540 88341\n36041 64919\n29421 43845\n5368 36290\n60917 83030\n6647 29019\n89544 89890\n30037 57758\n19074 42389\n9469 48383\n16284 68689\n34857 39652\n71090 85602\n33919 64555\n20844 95281\n29194 84330\n41363 49566\n25376 94244\n20316 61491\n21384 65598\n8455 62349\n12707 26646\n46634 59883\n3803 93031\n59623 79416\n47450 81019\n28479 81239\n59120 72359\n37388 38471\n92963 96394\n28137 63227\n13447 45363\n3658 59138\n53395 84761\n49085 60567\n37732 49856\n64309 85538\n18539 76306\n9287 11282\n62060 93588\n23701 32041\n21239 66375\n52427 90068\n12410 42839\n2435 45786\n15310 19573\n86681 93761\n75853 86567\n13152 34295\n16270 59319\n81962 87918\n18360 53257\n86811 94771\n1851 45237\n21344 88253\n5943 50260\n59181 81247\n57484 59430\n61154 75297\n69535 73104\n37201 54488\n5843 62738\n3499 79273\n5728 51877\n32179 80353\n45112 79612\n52283 74183\n15602 46899\n3590 43175\n34469 46966\n5609 70061\n57527 98859\n34319 87792\n55316 75020\n13230 71141\n51678 67207\n31916 64649\n2713 13708\n85199 95335\n2347 58800\n48886 54262\n28677 57827\n36704 77782\n82314 97030\n9065 47647\n34000 46087\n23660 43597\n25413 61046\n53696 59620\n4818 23683\n8688 95784\n3589 54225\n19382 78505\n51364 72318\n57479 91199\n11217 70898\n26199 71067\n25008 89209\n41947 51029\n65282 89047\n17304 44555\n41765 62057\n20951 71184\n9353 36569\n3126 96967\n77543 81756\n77120 79847\n28582 50992\n28400 85642\n2708 24938\n27141 80913\n13328 81339\n23185 58328\n74102 92815\n35320 95651\n8677 93479\n14688 78491\n33109 73379\n8854 79700\n9471 96897\n57140 99900\n21478 90508\n57893 79598\n4569 53070\n2344 90249\n75192 94577\n32413 67954\n40022 66485\n53267 97679\n25755 36580\n50585 90138\n22092 25137\n32692 35997\n13520 64431\n5632 36826\n16540 82438\n7533 84431\n1749 44929\n7070 32248\n13154 34854\n62033 72750\n6185 83904\n39449 77466\n50202 93931\n17077 80262\n38092 66776\n25116 67428\n37784 91874\n74483 95005\n27994 73900\n4278 15508\n58908 77678\n7495 52261\n11865 91705\n45163 70470\n34962 37519\n46384 78484\n974 69005\n55546 65516\n9199 81139\n38348 97481\n37317 67717\n28370 35817\n34357 35241\n21211 34848\n49839 95129\n4176 15956\n10100 87879\n16925 85748\n96559 98813\n53626 83358\n23629 31777\n12764 72146\n33238 35762\n2136 30883\n34741 64100\n22643 81979\n62714 65607\n33227 66678\n54025 86023\n65528 98256\n21484 99438\n911 50724\n24551 90604\n78713 82918\n76326 96526\n14284 76582\n7727 78518\n89269 91163\n20717 54091\n51146 65979\n15160 42356\n76588 88250\n11314 33492\n50626 62134\n67095 95490\n33228 92413\n1756 15418\n66374 82246\n13179 91400\n6846 87650\n21332 95709\n64289 82213\n41126 65275\n77743 99971\n12665 98444\n5104 74137\n21451 35427\n75067 85206\n64865 89575\n8043 55300\n44633 72921\n1338 88646\n52014 86374\n87630 93986\n78326 88703\n62134 96002\n25433 75338\n49866 81107\n64956 84153\n16651 16661\n40322 62774\n13781 69475\n18314 78883\n17274 47435\n9869 78182\n45268 93066\n62907 88384\n17108 30175\n38230 99140\n48711 62652\n24807 98047\n58187 85600\n46889 88571\n44314 45238\n2150 3383\n12179 71352\n16210 87091\n87079 98115\n5250 62378\n29073 33503\n4090 64257\n29716 78560\n35974 68987\n55650 77930\n19578 78821\n25936 95785\n26802 87541\n58398 75600\n12843 13930\n38248 85042\n49045 51889\n11988 78602\n6706 27502\n24669 91878\n65479 98638\n67348 79018\n41663 84328\n419 92594\n17010 86886\n824 67712\n5805 21700\n18886 35938\n22597 76242\n25072 28513\n15791 43685\n60121 96292\n6063 21174\n51640 97335\n20714 99776\n93008 93268\n31190 38668\n4964 48503\n15032 67523\n4980 93990\n64538 69648\n21065 54326\n27910 57823\n8038 80223\n64583 70631\n21964 88030\n51670 96285\n44170 67699\n20228 71006\n18432 43309\n65214 89572\n43275 80295\n11219 29626\n40788 72096\n7039 69032\n61841 77284\n90095 97622\n52307 99981\n206 32914\n20375 25410\n25417 54686\n5875 24004\n30678 46727\n27583 49855\n42573 64431\n70791 71466\n28458 95148\n81380 91464\n22384 76287\n73833 80695\n20913 67438\n77324 84085\n15574 97250\n43236 57457\n3812 62215\n2343 43534\n10317 66609\n60691 77842\n42279 63953\n17691 56194\n46947 85343\n61384 89892\n46883 80136\n76865 85770\n23468 71424\n7353 28834\n34821 99640\n18535 93559\n18742 59278\n5322 82345\n53496 95307\n65631 74202\n7206 27051\n9943 47238\n3442 81550\n20054 78611\n87826 89632\n30515 67109\n44124 76456\n31673 33166\n30070 50896\n63780 66384\n19752 39575\n25319 66189\n22803 96384\n12994 77725\n8748 47285\n28840 73880\n60353 87100\n22706 58452\n31813 51744\n64727 81995\n37607 97272\n18505 82358\n17076 80587\n54567 66626\n35451 85536\n19523 74251\n44724 51587\n35963 37782\n25868 79865\n40536 93292\n56344 90571\n3180 59614\n21530 38273\n77450 83039\n26731 75576\n5786 47968\n9179 47968\n40413 93245\n29064 69987\n12302 25503\n89039 97575\n11142 44481\n8288 29223\n37745 88653\n18490 92004\n49575 95001\n55538 91793\n53825 63856\n154 7357\n2858 55367\n6265 81705\n1603 63833\n34179 65502\n51179 96052\n22578 51458\n35493 35794\n35687 51877\n6575 42783\n41585 92911\n65607 85437\n75226 87051\n45429 63794\n18203 62157\n29762 48543\n56589 90992\n1017 5505\n9654 29927\n36250 58735\n24943 59774\n21492 97062\n14281 32838\n23323 78485\n81816 81938\n27147 73425\n58221 81842\n39669 99224\n61538 86387\n21802 89607\n45081 75159\n17090 72890\n5672 9851\n2496 95533\n24635 63294\n28592 55732\n4127 80049\n74676 89496\n14672 82510\n42388 73626\n24805 32980\n37370 48882\n13157 13584\n9580 55399\n30882 55268\n1760 32705\n6017 43262\n54389 60204\n72512 88475\n27279 64639\n40592 72015\n28571 40911\n10833 29517\n33251 92604\n57309 77328\n24348 30236\n26360 32407\n48610 95829\n61104 65120\n1201 69991\n1760 68048\n47637 50402\n38769 95905\n31156 34452\n11237 56168\n28143 81834\n37043 45033\n47775 92274\n17293 77200\n6177 62312\n44082 94768\n43434 57636\n14777 84625\n22034 97206\n3586 69823\n53490 62605\n35456 63809\n46903 47563\n44095 59441\n45219 61946\n11293 74958\n69109 87649\n14387 74776\n30169 80007\n79351 91874\n57750 92241\n32944 85763\n32403 44866\n18896 92604\n19691 23838\n54241 98461\n12835 79828\n26679 80224\n20203 74386\n31981 42525\n1621 92159\n617 97300\n12706 34879\n17759 66581\n88990 98127\n23390 79133\n42753 82482\n7077 44197\n60185 75521\n15913 62200\n17881 19077\n29994 64666\n52340 82864\n8664 94872\n36457 89670\n14455 32200\n27257 71559\n11788 80769\n90895 98537\n47369 58189\n32264 57884\n40923 49432\n56152 65039\n3280 15627\n7001 95848\n59424 67723\n3171 91202\n74819 98344\n36243 53476\n2590 12530\n36234 41416\n83838 90651\n19628 44900\n38878 53121\n6732 87195\n51022 78993\n48082 95405\n59912 68574\n13777 51831\n81520 92832\n52660 98921\n31447 78437\n86056 88461\n77699 91840\n51454 62970\n71336 77280\n9505 25857\n83106 91736\n23582 97209\n44273 50221\n18010 40145\n8134 43735\n22998 39557\n23173 30266\n22115 48913\n8502 92086\n60395 64631\n40936 89789\n9550 89179\n42751 64914\n17936 66853\n48717 90770\n25030 77608\n91811 98346\n6597 57115\n60401 80590\n17075 95519\n31903 73380\n44346 45393\n7326 95411\n24029 90471\n55046 79181\n33714 48474\n9252 84814\n8472 77325\n50417 77701\n23692 26828\n81334 84459\n16009 75707\n46909 48713\n1677 7730\n43331 84868\n51235 62606\n83663 99146\n8226 81441\n73191 78435\n29361 80528\n73176 93029\n3137 99878\n33553 54259\n658 46421\n14333 49292\n7154 89145\n62367 96567\n15257 21435\n15886 70047\n27588 42584\n63143 71156\n8086 99430\n16735 61680\n38385 73201\n48525 49616\n56221 64346\n1224 28048\n26442 43766\n51997 52151\n31791 92567\n8142 71349\n42132 80982\n61484 77029\n11662 98289\n27109 75082\n7299 58897\n4029 63195\n685 39999\n36908 37956\n44202 82201\n11191 19204\n3666 38505\n2495 76874\n17067 31173\n45657 91555\n9995 13652\n31522 90001\n24320 53179\n34027 90927\n17404 60177\n54130 54347\n19314 55855\n53756 61288\n73011 85931\n49237 85013\n54333 69532\n17703 37465\n26135 89528\n20533 63867\n31196 93547\n64272 99870\n46958 49217\n59853 81336\n76859 94291\n20858 62393\n6066 98811\n80618 87202\n65094 69830\n38822 56556\n22704 40504\n872 30257\n22415 45273\n36585 46177\n50239 99757\n33827 55957\n38130 97185\n26150 86691\n53602 94769\n19544 35775\n23658 67671\n10154 55228\n46040 66615\n18116 47339\n37599 89410\n50407 70894\n2718 90308\n21055 34937\n31824 77903\n1980 72343\n36898 47765\n64435 85502\n77133 87095\n7264 99278\n18690 91343\n57871 91154\n3100 32349\n17525 93993\n23706 60199\n32336 68012\n17695 71053\n20608 41108\n10567 36030\n48063 90654\n7986 74321\n8572 11644\n19231 33987\n27251 62508\n15483 17643\n68917 94473\n76709 99043\n31294 83775\n4651 99925\n25187 55875\n7684 30103\n15497 62984\n54181 60985\n18440 60858\n55888 90147\n31623 39309\n46703 66597\n43651 97234\n5274 36225\n7961 52373\n4409 48376\n8785 65822\n50277 66681\n30799 90115\n38730 57421\n34942 34961\n46488 97565\n55265 87732\n27816 83501\n45353 47536\n59542 65047\n29698 80929\n21430 93369\n9309 55114\n19641 41506\n19498 95371\n39407 91328\n25060 91996\n16087 50782\n7427 41250\n16823 99993\n9378 76956\n31491 63259\n37482 62006\n12705 22008\n42293 86859\n11716 30836\n41392 96923\n38444 51029\n34283 99887\n62391 73325\n57369 93754\n5601 33252\n39170 79544\n21867 68375\n52340 92402\n87120 91339\n7772 70822\n43759 52043\n30248 46778\n29871 87967\n23459 55593\n703 51859\n23753 27471\n88174 92986\n49205 49208\n47291 51732\n17802 91897\n49671 73378\n42092 86942\n12238 81460\n30008 70096\n35789 66244\n17806 53255\n57307 73644\n15178 82019\n27856 87166\n29145 61857\n35794 40127\n5667 43132\n66073 90693\n11509 44666\n2232 58529\n23212 31560\n36421 44690\n25344 74210\n64941 67186\n3683 86184\n5313 56912\n8897 67558\n40455 67110\n11799 56616\n45530 95291\n88168 96543\n13421 78640\n46876 47369\n21611 96494\n72032 94273\n59968 65246\n46825 50026\n47427 69068\n48416 92498\n29997 80039\n27782 65572\n22557 42000\n18277 70067\n11384 56785\n12817 41478\n27454 51874\n49891 56211\n46654 59633\n62535 81708\n12485 46638\n19258 99685\n76045 79753\n78450 83315\n2495 84819\n80062 95280\n71788 88783\n20445 50886\n64969 81566\n72349 74070\n42751 51876\n33759 75435\n1622 74444\n53195 96155\n41859 74305\n14458 76087\n58458 60425\n31845 35363\n2801 26868\n1870 23465\n37550 94035\n20607 60964\n15239 16867\n5675 9425\n25952 75297\n13717 85999\n5813 21521\n11213 60293\n61843 81564\n45749 85349\n40262 82300\n9810 67708\n16955 54111\n46347 93091\n16957 22487\n24537 70618\n36639 44014\n73141 74162\n51253 79721\n18145 75261\n35822 90287\n29817 42598\n26485 72449\n13760 17152\n46553 60611\n2253 9391\n18568 45768\n7115 64883\n76216 84232\n16263 22189\n91514 97623\n32423 39335\n28690 53078\n39540 97942\n1124 39137\n44484 82410\n18285 84771\n2902 83425\n87068 92723\n22097 92458\n58552 83056\n34537 64675\n23988 38555\n5768 20221\n29317 56283\n3242 36613\n41728 45535\n82286 91334\n59009 97463\n61941 88837\n52353 90341\n27177 74138\n52933 98765\n60435 79058\n10292 17004\n44134 92664\n37579 82845\n34416 56073\n41618 54629\n35241 39581\n7562 85824\n47268 48499\n2839 38170\n21697 90406\n32887 38139\n8838 31597\n93978 97838\n13483 67217\n57321 85174\n33805 47648\n27177 40606\n42233 65905\n3449 16641\n28772 42327\n40307 47778\n18204 79268\n66618 89040\n847 31594\n20781 83633\n31960 84836\n54013 64523\n11351 79574\n82930 83402\n5869 39400\n10856 27309\n26796 27104\n82182 84304\n45760 75707\n48339 67790\n68674 91783\n80506 80798\n44115 72761\n56075 76386\n42697 57242\n70330 95448\n73503 94052\n12457 19618\n53537 59097\n67920 75515\n5059 40803\n7514 70331\n51839 95917\n61722 99358\n36057 87957\n41875 91269\n54807 57721\n72586 96830\n13172 16296\n7802 75798\n6540 46882\n26299 80883\n28155 61570\n15424 73086\n78725 91224\n22065 27863\n43322 88407\n3853 68894\n54950 93657\n7136 66534\n1494 84995\n72616 76743\n28358 37769\n51246 76664\n15605 18268\n3442 18518\n78237 80813\n87133 89938\n55629 71017\n34064 75741\n30481 32526\n30702 40364\n57782 61766\n64408 96484\n18937 51224\n38804 82777\n75457 93423\n31010 77729\n6934 54794\n23779 63482\n24606 64528\n67244 98664\n21984 74024\n57328 59241\n8224 42286\n27691 36647\n19182 36927\n9643 22119\n41428 55455\n31495 70666\n22984 44913\n27680 66022\n8113 24641\n5131 56337\n4973 92584\n52077 88664\n58139 85237\n18859 74187\n3947 4538\n21988 61241\n46030 63961\n87286 91830\n11856 42351\n43760 87607\n41793 99638\n58627 91854\n2871 32442\n17932 40837\n20093 58179\n23259 43628\n49049 91321\n33042 99448\n32069 37887\n35021 46928\n14889 83329\n21313 28827\n45862 70641\n37945 55099\n85410 90132\n5276 76392\n30760 39856\n29615 74864\n54886 95810\n18095 62196\n18808 70795\n5237 54104\n83590 95079\n16026 92401\n8084 58033\n3200 85385\n4188 45062\n30972 99927\n66438 87590\n32502 37558\n13478 28338\n52045 67295\n59086 60050\n14604 91090\n44519 47157\n34451 45111\n53274 81012\n45042 48587\n52578 81707\n39511 68545\n16730 48619\n26141 92178\n36902 97038\n14306 28750\n79625 91606\n1342 23906\n9099 74343\n6341 88822\n4661 90080\n57728 80232\n68936 78883\n6615 44370\n36846 91200\n63246 86090\n16940 57924\n6526 15009\n681 4493\n21967 97318\n36730 43617\n38411 79944\n61277 66750\n43380 99156\n17491 82263\n20999 71034\n7376 76072\n6711 40436\n92919 95979\n67977 77113\n60034 83927\n1130 55214\n78647 93295\n21674 22112\n48285 78859\n65225 92538\n11420 96052\n15058 72984\n58170 87595\n20588 60554\n17395 82155\n47758 95963\n9104 62151\n79850 84579\n11926 86926\n9021 12134\n76537 85702\n7932 61219\n85036 97079\n82182 98003\n35130 56209\n34209 63199\n81424 97411\n27331 59783\n18685 91599\n55682 70577\n70199 81345\n44696 65319\n77588 77852\n9013 65053\n56002 60065\n25039 61618\n52086 64492\n73233 82500\n9096 81780\n21746 27452\n14901 20244\n40478 86076\n32548 70434\n9519 14416\n34210 81343\n7475 28230\n15243 48498\n5684 84054\n3014 59974\n10418 82028\n21995 64951\n70109 85762\n55563 78488\n33535 33730\n30587 36820\n49841 73497\n7031 36134\n14578 25015\n29580 88896\n35142 38718\n3655 98030\n54998 85466\n6124 28441\n47990 58294\n55020 69041\n58953 73159\n54132 88450\n30553 62113\n43519 55835\n55381 58562\n16189 35418\n49296 54045\n7027 49676\n54981 95309\n13018 17060\n46681 90788\n24031 80666\n2809 60720\n11018 32708\n47012 55357\n52165 81044\n53652 83050\n43957 71177\n20877 37280\n43479 77721\n23616 39378\n24888 27489\n11354 94085\n87497 98318\n62003 94159\n21073 37846\n42877 53720\n3098 65608\n77172 96245\n18903 45578\n27899 40870\n135 47743\n10878 45398\n12400 88509\n37116 57360\n55696 83354\n30017 33987\n49693 65213\n56650 85773\n1990 38274\n46465 57897\n14169 90460\n39601 46054\n41420 68570\n23236 86720\n16937 20557\n15115 81011\n33632 76785\n16669 91790\n7360 49433\n34226 92017\n56203 94365\n8823 59966\n43227 44153\n8400 76295\n39438 66718\n2052 59135\n28394 73676\n17420 91141\n3916 99052\n75088 99894\n35520 72006\n24404 46684\n78884 94728\n15141 51344\n2686 97706\n24896 77088\n74064 86700\n4314 80082\n24566 83572\n66100 77251\n39522 47685\n21459 27069\n12337 47341\n27306 76509\n16251 28862\n26790 57862\n47014 48002\n12705 75695\n9088 75641\n14646 40986\n5973 61387\n79428 89375\n9320 65152\n14023 88756\n53721 65086\n21967 90433\n23888 24476\n30032 36404\n19682 64187\n7242 54590\n31987 38934\n27824 80902\n35515 83824\n20712 72314\n78030 88025\n44319 48911\n77570 82289\n35894 50127\n1066 3197\n8076 57671\n1758 46855\n65045 73448\n2568 98685\n28220 54061\n19689 58026\n18482 33665\n569 59153\n2305 84007\n79288 90959\n6173 34747\n69897 71849\n56647 71063\n4676 13260\n21427 33437\n70984 94598\n3685 92604\n34184 91202\n50870 69745\n24666 60753\n15201 15627\n77776 86962\n39481 91365\n67456 69293\n24706 50983\n3165 14069\n79588 97994\n4744 54785\n8088 43787\n49006 63140\n24997 82293\n382 600\n65040 72559\n28038 53264\n14102 18727\n716 97266\n19250 67388\n10617 27826\n41262 45750\n44763 65692\n6110 69410\n86972 95282\n64451 88883\n38671 53803\n20950 38486\n7910 95275\n9798 89567\n2596 77361\n32044 64287\n31175 99490\n37494 98643\n41616 75624\n20237 53517\n28908 94762\n6626 55613\n70563 82944\n66222 67251\n48218 72851\n44536 75958\n18417 97298\n29442 48311\n69245 92295\n71743 93406\n68874 92688\n27331 45442\n2920 23661\n45448 79207\n43784 65225\n66370 89960\n24730 61114\n23087 72428\n39150 58379\n3204 73534\n20493 88488\n41735 61621\n69628 82259\n65651 69841\n6159 71360\n1906 28747\n19180 62811\n72184 80340\n13183 86749\n1691 65820\n82181 94875\n16078 45734\n57249 92943\n60862 76976\n7785 26877\n24120 96521\n14872 16468\n94510 96786\n25938 49295\n42272 45701\n22963 71978\n48762 74417\n28074 86288\n6070 25476\n54593 85020\n46086 85192\n94891 97480\n12406 71994\n4234 21015\n79747 96998\n22951 25915\n60019 68134\n71199 98326\n20201 61675\n2256 38637\n11366 40825\n14658 49685\n43808 59582\n75135 75338\n78998 79579\n13191 87701\n5713 40963\n16252 36248\n14715 58814\n57152 64496\n86812 86872\n9012 86946\n44737 52096\n12167 39513\n52335 85388\n76423 80606\n19354 88529\n25367 99390\n4005 69969\n36058 65516\n7551 13373\n28748 52935\n67688 77066\n3307 57386\n9202 79069\n47256 82279\n3238 56178\n40896 69698\n18558 35059\n5283 30841\n26046 39501\n33193 93781\n28343 75497\n48647 68526\n74 83822\n64233 91002\n58350 66851\n6463 71024\n60048 89004\n14778 25268\n8081 16049\n75272 99482\n8400 84802\n23918 74390\n55605 97419\n66397 78341\n7888 90593\n59172 83706\n8887 25187\n30619 90449\n76638 95960\n33765 56531\n17441 83846\n9151 68482\n50167 58570\n9383 27939\n15641 39559\n61557 75594\n18765 32125\n21637 84977\n28278 74540\n19954 25829\n11924 49259\n26057 28355\n65347 73889\n21446 40865\n12626 93141\n67789 69749\n60056 74234\n16241 83293\n16152 19281\n37528 75795\n27595 49462\n6442 80277\n76243 87673\n14839 45814\n32133 78164\n57364 76924\n9302 14930\n14746 29179\n10767 18563\n41062 96649\n58817 60991\n23440 92863\n20567 27337\n13260 73699\n60334 78807\n13391 34899\n72603 86994\n54138 81854\n79510 93571\n6396 18034\n55933 84048\n58296 74764\n35947 71040\n22030 70284\n22911 64054\n8031 20791\n14272 48699\n38012 46276\n9627 47878\n29984 89508\n19625 94465\n22556 76267\n12313 16053\n13096 26228\n52333 80348\n71790 77163\n99081 99505\n27263 60768\n67125 94141\n26156 32328\n22638 38381\n17864 53508\n40169 82449\n27810 93564\n12784 60956\n23511 83559\n81313 92441\n55586 86752\n20724 29514\n3119 40254\n5641 95082\n34591 54207\n9311 54204\n51838 78786\n26067 34573\n13581 37814\n66005 86657\n36225 47535\n29429 84501\n7437 20446\n35462 92941\n21415 97245\n40871 84215\n50546 69273\n74953 87556\n18499 65144\n37903 78883\n52984 63074\n25675 48191\n19330 21824\n21985 56349\n47301 77346\n46841 93049\n28877 84825\n66855 75250\n14970 50336\n2819 9281\n15020 86068\n6753 28667\n50406 73981\n59 89826\n9487 92212\n33213 65412\n79158 94433\n23011 61046\n11986 84821\n37505 74343\n36358 78402\n26319 82281\n65316 74772\n93210 94927\n4442 50468\n42064 68720\n24793 49380\n28740 39421\n1547 19294\n74319 91622\n16090 21875\n70 95199\n56747 57367\n6996 30593\n22622 71437\n22840 26434\n38925 88139\n12883 35543\n1991 2516\n23564 72924\n39215 87024\n9122 30184\n10314 86309\n52967 58532\n11276 81528\n75354 97203\n54578 71512\n12970 99016\n40333 90224\n53571 87457\n14415 88597\n8404 58504\n43422 63266\n67867 89893\n37439 72409\n28920 83524\n11732 49937\n21059 93985\n12638 71986\n7223 95609\n7574 89150\n62848 80781\n21529 94152\n19479 78569\n22425 37222\n12566 46935\n43629 52139\n26184 38674\n35701 80575\n1448 99374\n61752 78764\n962 60457\n68809 94200\n14956 88166\n25409 43155\n4177 45020\n35068 37482\n28723 63005\n28799 60210\n60891 69765\n28254 91862\n35780 68649\n31953 42543\n91303 92868\n13998 92526\n23901 28617\n44034 70018\n23774 31556\n49738 58154\n62813 86464\n53487 95131\n22699 54447\n29645 55043\n45413 47818\n19805 44757\n78406 86282\n51576 82618\n34186 63266\n19204 31295\n22776 91660\n801 78456\n52921 94653\n20644 68336\n4543 24404\n58684 68179\n572 62966\n45199 88702\n12481 34817\n56940 98710\n98189 98293\n53083 94014\n30331 70374\n77398 98998\n12729 33197\n32699 79717\n30714 41754\n61203 79290\n717 54248\n52392 95923\n11842 82136\n3803 42353\n21523 51666\n9974 96564\n3747 82140\n45410 73317\n60211 76010\n32168 60541\n1391 89115\n15678 37495\n69835 87578\n61670 94503\n25243 63025\n43592 84358\n30140 91936\n14196 97351\n12262 19401\n21773 86166\n50892 51770\n51655 69826\n8492 18026\n18619 26076\n70392 83145\n53654 86678\n27077 70713\n67843 80143\n64194 68851\n55861 69151\n1996 34243\n12081 38387\n59489 62017\n9557 51424\n26361 38618\n34139 49211\n57751 95678\n35471 38186\n11293 44305\n65876 66286\n81316 87105\n22294 38512\n59006 87631\n1352 31295\n59925 91415\n22863 43853\n57856 97777\n365 8564\n29812 31785\n5192 90912\n14436 43083\n42571 97891\n91662 94383\n20759 52848\n14865 74084\n11773 62479\n54687 68476\n32043 62693\n19634 50918\n36432 48876\n9350 79532\n52413 97227\n41647 97418\n13851 25783\n37364 92417\n35131 62248\n69597 93305\n45577 89700\n14521 59572\n17731 72574\n8720 54820\n49415 62571\n26867 44624\n33643 71199\n50417 68957\n9385 21187\n1964 59778\n38338 57418\n10205 14655\n10273 51362\n27928 53331\n13533 59195\n16440 63071\n24221 69030\n3626 10788\n57486 63807\n27546 86285\n29649 40670\n24280 92506\n4495 28993\n46260 47490\n20548 93392\n3085 40791\n46233 95553\n59982 64787\n12677 16066\n21107 58733\n29946 67527\n58790 81404\n37884 51318\n7517 23634\n19789 35394\n63461 92743\n19101 69262\n13105 94308\n24316 66649\n9017 44770\n14896 51927\n6164 96680\n16855 21809\n11351 62325\n22181 86104\n4971 47312\n48234 55104\n49636 92475\n24379 76576\n3541 58469\n74466 96715\n23714 73907\n22582 58315\n1758 11716\n12314 97089\n43002 76926\n11209 31668\n59200 63575\n36451 82171\n29569 80335\n68995 74591\n2477 76620\n15850 86227\n35605 37916\n11692 16663\n13134 26081\n17907 33587\n90527 99488\n49854 70577\n68186 85819\n58293 77361\n34554 54517\n63917 65307\n67113 99107\n22712 83188\n26280 38389\n25834 50107\n58893 66194\n378 97920\n14501 85957\n11693 19247\n17453 50429\n2386 24267\n26394 51678\n2643 40395\n36768 79026\n53530 82272\n70225 84027\n20097 75839\n32885 33134\n34170 58868\n56919 57740\n21933 38166\n2354 93797\n39848 78529\n36988 86516\n85181 87359\n48144 85400\n4823 84742\n35700 63323\n15750 47203\n71184 82403\n56156 68707\n34612 41630\n42477 55554\n8777 27217\n54502 60133\n55397 83652\n20091 40771\n16665 50490\n34063 68685\n80197 96234\n66578 69370\n25210 50114\n2658 58154\n16390 37835\n71968 99414\n3052 36467\n73960 90694\n17228 41735\n2911 8704\n14356 68969\n21005 56303\n19776 40390\n18465 42210\n40483 71535\n25620 77428\n46198 94535\n62314 80996\n14019 70364\n71474 89252\n32099 92302\n15519 51637\n22599 24605\n27425 94680\n12163 62366\n70980 80096\n84732 85553\n17581 23024\n12919 68806\n17812 27077\n965 78146\n60925 66673\n63284 67087\n2252 3783\n90166 95016\n44878 64689\n2541 87103\n23547 53954\n13429 21513\n20700 85421\n40264 47608\n27307 71222\n7371 59337\n10690 64680\n68993 78173\n35647 86881\n22545 25229\n2243 9770\n597 85554\n67371 79319\n79708 88880\n55252 89768\n76868 99702\n30950 68379\n48775 54982\n19656 54511\n46325 73606\n23417 60708\n17771 57848\n40641 94000\n2909 31517\n67545 94509\n26048 38411\n9192 75666\n33591 74888\n30607 93771\n17429 26746\n75476 86462\n11953 91730\n13069 71135\n27128 45726\n17505 67729\n10760 97688\n5401 85441\n2553 5536\n3959 92594\n32788 39023\n8231 38987\n8269 32676\n17628 68609\n7479 71637\n21333 56430\n25378 76336\n9791 49934\n202 85371\n70249 79982\n6533 76203\n33239 81249\n28984 68620\n20523 59787\n2692 26659\n62605 69347\n50526 69414\n84881 99671\n38368 54275\n27581 57771\n55919 93548\n83797 90494\n13243 42921\n34145 51782\n11810 31463\n9270 52787\n61368 68983\n18465 83107\n1288 83341\n1680 76665\n20386 66853\n6036 8045\n67908 96445\n63374 95055\n65862 73533\n59560 70331\n8637 68183\n13739 66981\n17194 44006\n28450 48043\n45425 82883\n17057 85437\n6717 8256\n56197 62234\n63144 81922\n16077 75149\n19827 56079\n3311 47590\n17188 73977\n20178 34706\n38015 98083\n52790 93395\n94542 99288\n31992 89431\n38552 95468\n77053 80621\n33177 78507\n8155 29796\n21145 62063\n32641 48434\n10592 70102\n20381 33531\n77163 89790\n37582 62384\n34540 70566\n81337 88840\n35429 74656\n2699 79795\n36572 51447\n12528 49936\n55042 59175\n48010 88186\n7321 48715\n9379 12448\n35249 39952\n27123 82087\n37793 55906\n22775 32954\n13221 81358\n11012 78892\n6632 52719\n13445 16151\n29388 87166\n35368 90378\n29424 61856\n3666 24722\n50895 74724\n45033 70286\n10443 85350\n12433 89249\n49639 81821\n15294 49243\n40366 81695\n34646 39295\n21045 59568\n48255 85110\n5310 88759\n12756 94574\n45920 98688\n38256 87108\n4083 23003\n16013 84726\n36628 92221\n67478 80227\n54192 58311\n25258 53420\n33524 57156\n23363 29696\n39629 41578\n23986 29807\n92645 92851\n17252 41041\n63118 82199\n25503 45877\n38146 72265\n11678 19961\n46427 89507\n47545 48640\n32887 51585\n39991 58150\n8940 92991\n26731 29503\n22314 81996\n83710 90750\n10970 35867\n43788 51663\n7669 25555\n35930 63830\n77487 97550\n34891 75084\n76717 82202\n14043 70545\n5858 94581\n46058 71339\n63621 95634\n69108 70045\n5340 59686\n23153 67845\n26424 86975\n39836 67817\n77478 79978\n53291 56401\n74319 83653\n21497 88827\n17554 29503\n19166 63320\n46320 92570\n27773 43469\n30608 37286\n44180 64078\n32618 34573\n19485 49734\n9208 90652\n3245 26083\n3312 35533\n1370 29435\n32424 85828\n37967 50285\n64227 78387\n11636 54075\n54517 65923\n4391 16600\n91153 95825\n59072 96686\n48810 51303\n50520 62070\n23670 65205\n20790 63848\n30465 81076\n36408 79447\n19196 22531\n26888 90954\n33626 91075\n1937 67965\n22192 84124\n53948 97660\n14758 47894\n32280 56705\n3020 25294\n55440 93236\n45 78584\n92686 93080\n34774 55925\n68398 94335\n3967 12803\n35341 75681\n50678 74705\n31415 73786\n43810 67270\n20302 22925\n41771 85197\n48698 94557\n53973 54585\n9098 14307\n12491 62427\n30560 84598\n28651 42850\n68181 72564\n70641 99552\n37192 86283\n3426 55799\n45622 75733\n61269 77260\n33780 69598\n9239 81675\n40648 69154\n43431 43790\n83832 85232\n55001 83617\n61341 82060\n39142 77808\n4819 7869\n9817 78820\n4942 81183\n9764 80283\n41240 80497\n17615 92784\n8836 63430\n27774 49097\n16258 54817\n52158 73707\n26890 48841\n35518 98002\n16121 76819\n3067 56626\n74299 85621\n10703 66787\n33206 48033\n30288 35514\n37712 67620\n61894 88771\n26434 79987\n53820 83726\n47167 79810\n1885 90002\n54014 95297\n38322 98492\n29258 77420\n37054 97570\n2612 31317\n45023 57325\n23382 94467\n88089 92195\n22893 65127\n4348 13929\n76474 89466\n56592 63557\n71364 75706\n10514 39783\n83707 86978\n4713 71862\n62528 80177\n21810 32247\n42944 64014\n46865 48802\n22647 83990\n38847 59411\n15851 56251\n91526 97672\n13237 97430\n69271 73137\n851 35753\n35062 43872\n6411 60568\n58965 61578\n5521 23864\n82890 83810\n40687 45859\n9843 82843\n10682 35347\n70412 71940\n17840 79016\n15573 66830\n7956 75560\n24781 36795\n18025 39785\n6476 91660\n22479 39596\n12081 94731\n2283 19154\n51449 71774\n65840 78577\n66102 83373\n26715 83990\n12698 90122\n39677 47883\n52118 96913\n16745 28555\n48457 74303\n7846 18545\n24678 64522\n39593 60212\n47206 68979\n8129 98177\n37187 74806\n8453 86751\n13425 79303\n51838 89445\n25617 39940\n4782 50736\n77744 88496\n12615 98242\n25359 37656\n59432 74446\n50610 54010\n34109 84207\n14821 42570\n42581 84828\n71356 86604\n77080 84501\n29883 74195\n392 58521\n3287 72405\n68145 86092\n1329 91111\n69918 85070\n80471 97763\n30662 65760\n26677 94960\n55777 67879\n17475 89818\n721 34697\n22880 24681\n2870 24419\n47726 92132\n34736 88383\n60501 64925\n35805 95489\n29459 72680\n111 6653\n58005 83116\n19536 96054\n4485 78674\n45488 88645\n4396 32728\n59879 65758\n29264 84797\n38094 78579\n13155 24214\n59284 91848\n32763 61637\n22344 84303\n48567 98759\n67912 89684\n37998 58116\n17939 69140\n23604 61645\n40498 75210\n3361 86538\n21179 46559\n89480 98597\n10618 90949\n29406 83937\n69826 99189\n17536 80823\n56230 58745\n32126 46218\n30609 51130\n56498 63755\n38538 62564\n19546 96061\n76818 93868\n44213 79934\n2337 26899\n5984 31215\n15318 21118\n3 80187\n14495 67855\n49217 81005\n65948 81923\n211 85574\n43480 92906\n72232 90631\n21363 99902\n21714 58602\n75779 79816\n76143 80000\n72959 99664\n65707 88798\n25943 43705\n59373 61968\n54879 75728\n43662 81081\n12170 99658\n46656 64991\n48261 76459\n54765 60463\n6076 40049\n9179 80379\n7008 70905\n47068 70102\n70728 95078\n73083 77616\n42419 95792\n54031 98196\n19209 55689\n53594 55848\n29757 42357\n55924 66582\n39516 46675\n43141 65339\n11516 88079\n47703 63739\n5454 92218\n29699 68913\n45811 66904\n16721 96129\n56413 84127\n3762 8287\n24418 26221\n46753 87079\n23234 45016\n53118 90385\n52822 68004\n25264 87961\n47490 84394\n12887 21342\n25715 38527\n72416 86547\n34745 66132\n37207 41658\n35906 79725\n16054 45135\n48380 49138\n49871 86671\n23814 99684\n14725 37680\n29421 49494\n70667 93459\n91742 94366\n1706 58887\n41269 96001\n60622 66742\n16599 75192\n7865 12022\n794 67394\n31088 93490\n3408 86177\n67268 82920\n34881 48848\n27023 69927\n64 90694\n26235 66340\n89212 95139\n8140 52998\n23547 71344\n6410 35911\n7978 96480\n21294 59964\n6913 24057\n54342 94045\n17683 20578\n10066 23216\n4235 85024\n68158 69814\n41373 68692\n50688 52014\n22937 75831\n12042 69728\n48946 91443\n14568 70389\n43301 91355\n1623 96738\n69557 78818\n3477 21213\n47438 51747\n18948 84090\n14148 42929\n10456 89163\n7546 38339\n18377 88555\n43095 79426\n10092 97429\n46097 75549\n60239 75267\n81777 99782\n63041 83161\n29170 98510\n10160 81930\n34329 36000\n14347 34248\n59600 94651\n1499 79496\n11569 46301\n82446 87971\n13468 82733\n34802 80216\n68702 99609\n38712 88806\n29582 89367\n32362 42308\n4499 86084\n53969 99581\n14955 41703\n18258 65068\n54434 85317\n26548 88613\n73191 88437\n68024 74593\n80390 88414\n93843 98698\n45229 72703\n48307 60680\n32553 55186\n8430 96451\n41709 75637\n6227 32806\n12998 19365\n39237 58326\n8071 55129\n34371 93772\n22685 67996\n55795 58255\n68222 78244\n36087 71402\n47494 78079\n31243 36569\n53514 82926\n39867 76017\n29683 95866\n44311 68394\n19608 55859\n240 67395\n42506 48381\n85391 94717\n41268 78145\n70772 98440\n38618 82133\n5964 17659\n21408 46820\n38259 99008\n7352 34488\n2201 95945\n6615 63676\n52233 91162\n19674 82834\n41345 92329\n29228 95117\n12177 51236\n34098 36116\n45505 73479\n17698 95114\n21886 33242\n27858 28892\n38499 85219\n32056 81802\n5392 67355\n2636 88505\n44788 80765\n48631 59219\n85989 98628\n44043 70946\n42344 48729\n54676 86717\n9819 70547\n83193 89580\n38521 53192\n27017 95845\n18929 56387\n62345 98893\n45883 65183\n92113 95972\n20324 40735\n61405 65629\n12914 26835\n72354 93675\n70589 91983\n14305 55393\n19651 84086\n52756 68594\n31973 69392\n57489 61091\n59535 82406\n20386 52975\n31515 55251\n50168 93384\n33864 90927\n47374 81366\n45346 83424\n15959 80336\n63730 66823\n55959 75237\n28513 68750\n91246 99257\n41257 55847\n608 78874\n8700 79227\n58218 63976\n31653 32443\n14689 65559\n55220 98096\n31693 91869\n41534 97498\n9587 60106\n8614 95038\n25162 61063\n62017 87665\n30014 76654\n48137 78552\n21960 80686\n22226 61630\n46809 88790\n667 39378\n3771 86498\n16191 56581\n69485 87552\n4366 57058\n1243 92699\n30728 54598\n18774 59074\n68079 71202\n66531 99150\n60152 85655\n63768 63860\n43091 53696\n49303 68889\n10811 68868\n56807 90590\n54107 99026\n10002 17825\n37260 88527\n12446 98920\n1251 4657\n5202 7595\n33691 41412\n3451 91356\n25057 92522\n12449 12881\n31385 80282\n68703 85698\n9675 13793\n18129 21843\n8457 27488\n92457 99947\n43256 90711\n15603 91926\n60655 71814\n9531 61936\n65066 74800\n34841 47545\n40774 59023\n26007 80134\n83870 95764\n46917 71961\n13776 67385\n7183 59851\n8041 88185\n59054 82778\n12219 34752\n56818 67438\n44221 59536\n1030 33636\n42615 49981\n51222 99485\n9819 89848\n17338 38149\n26056 84268\n21039 90304\n27210 87399\n6935 76332\n70288 85086\n48466 95046\n40014 64005\n20571 27746\n3531 69388\n86637 97565\n21772 33185\n28224 69047\n13201 48191\n43414 71777\n13035 94760\n28033 56868\n16002 76278\n11277 43767\n4499 90025\n12243 21282\n32913 69284\n30330 78697\n27762 45840\n24660 55847\n10174 36384\n37605 61997\n49073 53606\n81794 94011\n17508 86181\n15397 61565\n1218 35475\n61171 61396\n28504 82646\n408 55202\n16469 42436\n95097 96537\n61591 99167\n36039 39013\n20799 81838\n53234 90541\n32238 69228\n24983 70379\n2994 89033\n14984 56383\n58412 59293\n42631 63784\n13740 25606\n8193 96712\n75184 98100\n32434 76495\n66896 71650\n48630 69566\n64109 84647\n13229 19271\n5151 68159\n20604 84680\n76085 86195\n30048 34192\n31424 92404\n35461 60350\n15922 49732\n14560 33172\n30003 85101\n12573 72620\n41315 72564\n69565 96537\n92946 94046\n22049 63590\n18263 41129\n64220 81790\n61209 68234\n65301 96831\n82909 99082\n14179 27043\n50815 71668\n32692 48315\n33649 75245\n79300 87308\n42444 70046\n32282 66094\n40032 91105\n32165 83366\n30229 70608\n14018 45262\n28632 93253\n66092 88741\n42698 98331\n45641 56078\n32235 35445\n56975 93162\n11652 63814\n34366 95142\n445 59648\n58846 84777\n2576 47664\n55023 85054\n35407 96520\n66886 80623\n4377 85130\n13358 39325\n22668 56303\n89436 99988\n12348 64549\n13684 71346\n470 62683\n56413 58640\n60516 63549\n64878 76596\n45430 53827\n40651 98704\n35416 62805\n12549 32900\n23994 90646\n45379 66678\n82868 91826\n8404 92384\n42795 79059\n57718 61375\n56926 71571\n69104 72254\n61520 95342\n57483 94915\n54941 57525\n52054 76040\n54912 95740\n44691 52870\n30952 45625\n14928 22533\n18993 23060\n31189 57105\n3837 39523\n70697 90924\n24955 29614\n67811 76509\n10487 24106\n10262 49695\n40193 99405\n49090 81594\n24786 48506\n10203 78805\n49709 58615\n31918 77258\n21206 26469\n6146 78488\n16427 53418\n19600 40713\n6342 37256\n42412 87984\n46582 69695\n46899 76646\n67259 86042\n60869 89995\n51410 59759\n2562 38643\n27411 54797\n58560 82373\n67254 77460\n7922 7998\n1284 81380\n37749 46241\n76570 99661\n12594 93620\n79804 86802\n20076 64812\n53578 90051\n70362 86113\n28700 42106\n46942 90194\n15042 31014\n39311 97044\n20443 98969\n44496 70925\n35925 93622\n12694 73454\n9921 76111\n3320 16573\n24304 55851\n323 83159\n53138 72028\n18751 23404\n24729 27788\n43634 65569\n22224 69337\n35486 64490\n80567 91496\n17729 43985\n16383 89269\n57445 95231\n24531 48627\n47510 63771\n66536 84040\n13837 64226\n2196 2543\n334 45229\n49582 56518\n56837 59888\n407 88547\n7107 31728\n24137 76163\n10216 29902\n71725 90169\n59866 96812\n30848 72151\n13972 27397\n31933 91853\n5779 20941\n23962 97104\n88643 89884\n50495 76595\n3742 13104\n8064 83176\n138 82580\n77770 90504\n70496 83064\n15738 17830\n19301 58835\n57417 81590\n65593 97912\n55312 77100\n29030 68883\n23897 87506\n16411 30413\n22910 35843\n18909 41399\n42561 44408\n24805 25370\n25921 54332\n530 20036\n14743 67043\n76260 91582\n51519 86544\n23397 39943\n9432 14079\n53823 78751\n35282 78309\n8196 40577\n24281 38976\n18471 47578\n78589 82709\n15610 22118\n27777 98214\n13800 73894\n55275 70574\n53419 56419\n41455 71030\n13254 48124\n49471 49789\n24667 58360\n20402 54347\n36537 58104\n24599 85513\n1672 31919\n12524 47115\n31919 42169\n1126 84622\n53650 68959\n8371 54672\n8294 17535\n4554 39388\n71076 88373\n43990 73823\n20681 61215\n86382 99163\n28191 58782\n14775 83902\n68043 96509\n21631 21733\n48956 98013\n9169 11821\n27841 90139\n20122 73211\n2315 95816\n41021 53299\n85 48670\n53430 85826\n34063 43148\n20454 40962\n15466 73630\n16096 71152\n21901 23754\n8022 65484\n25944 90008\n40089 79311\n59998 95001\n27544 39704\n13848 70712\n47129 48492\n88750 91552\n32976 64394\n14426 36291\n7222 9858\n25078 55220\n22254 74838\n74223 92548\n54384 71551\n11778 53171\n58062 91400\n2834 93070\n42186 82856\n17538 91726\n71999 74070\n39812 43789\n4204 35816\n35426 79345\n25770 64316\n83377 91854\n25063 63607\n45055 66361\n4352 11522\n19309 84945\n46435 50889\n54239 72865\n744 36276\n31421 78328\n6069 54905\n27298 51531\n37078 82408\n23555 33781\n34224 65481\n38186 38503\n32253 33026\n80123 80403\n12517 46765\n29796 48943\n24814 63260\n10189 23022\n19216 29440\n27351 76566\n30503 95286\n53394 84307\n33646 37311\n30053 74439\n5807 72764\n8711 40358\n2808 63845\n40028 81872\n19396 47358\n80224 83679\n19590 52694\n23131 96084\n47213 57788\n42671 44543\n46457 60136\n76540 97915\n63827 78389\n19297 23074\n20302 67440\n35402 75479\n75415 97873\n74504 96554\n35797 95932\n8334 86035\n21453 70321\n21397 92118\n53295 71564\n40172 95363\n5702 61627\n54138 71705\n67586 77193\n64735 82330\n204 13974\n23115 31805\n7133 9776\n38690 75288\n8606 32356\n47066 70975\n2243 32096\n7588 22870\n30911 67731\n14554 75395\n25081 25642\n63550 69878\n9456 37036\n11660 52540\n14092 32362\n3690 96005\n6699 67319\n34259 41381\n58797 86027\n51602 83132\n84875 91986\n20738 77751\n32262 94336\n49796 79096\n73740 87073\n1690 44974\n78891 83642\n8667 95896\n11545 38452\n20030 87034\n18679 52560\n7737 51190\n787 39248\n3884 72456\n31821 70417\n497 66841\n39399 57972\n69874 90321\n62009 88457\n62459 70060\n9220 11366\n49200 65389\n14811 15150\n23700 83260\n912 28282\n35772 37452\n81690 94007\n40193 73763\n49670 67947\n54 41066\n13919 64476\n49103 49117\n23842 31210\n10122 51867\n43986 89360\n24435 40634\n20569 82756\n12447 17545\n42197 56528\n10368 68144\n2261 29296\n40682 49948\n26812 58532\n53871 65138\n36299 59872\n18743 31023\n81219 94253\n1517 3456\n62186 78774\n27020 94360\n42270 58921\n117 79592\n3477 28347\n57024 72962\n40701 94313\n4389 20601\n14836 32022\n12722 41922\n38829 98321\n60158 99824\n38340 54287\n47799 84066\n6017 93486\n45795 87776\n50398 61439\n26754 36448\n20661 24772\n39871 78435\n9656 60721\n48322 86032\n33975 46704\n3063 31601\n66320 87938\n64796 67529\n23906 35914\n19859 33222\n2972 21395\n35644 42400\n13676 90590\n2807 64300\n3386 41783\n46001 80393\n78701 90381\n18764 58270\n42948 72570\n6530 96941\n82052 89230\n65009 96510\n48283 67345\n11455 43499\n55720 77060\n8533 9398\n9711 33146\n56356 64851\n41547 63354\n24112 95648\n76355 82840\n73168 83860\n23066 60656\n88793 94200\n9358 35305\n27834 52967\n84123 95215\n55408 86160\n8927 97848\n28871 93332\n31280 50589\n9640 74268\n51186 60140\n21009 49191\n56759 81474\n40026 56475\n31370 49565\n8756 73760\n36403 88306\n47051 78339\n9946 46550\n34489 98815\n52628 55108\n5712 32750\n59298 74177\n26954 92885\n70771 79762\n37442 45728\n19122 66213\n51835 93130\n4614 63161\n36171 80025\n8623 62040\n23297 91481\n30866 91320\n40863 64314\n59864 89448\n52666 69855\n40871 77710\n831 50710\n60584 92087\n34911 88189\n14966 31828\n72567 98601\n20335 77969\n20768 28850\n19660 28352\n195 39072\n64427 80354\n45694 91569\n10024 92597\n61330 96824\n2831 50291\n42266 86328\n20724 22402\n19512 34730\n43348 83214\n8380 55483\n27212 60706\n72808 88538\n35143 55645\n5960 73439\n5557 52755\n1769 37754\n10597 72105\n50980 73057\n46053 96073\n37296 55455\n27957 99691\n4261 94710\n13323 54658\n8343 90996\n3137 11193\n24847 99502\n59598 95932\n39686 81173\n13223 40036\n92543 99231\n34794 72243\n15124 16634\n21351 40781\n9434 21372\n27596 45380\n25087 30442\n28180 50612\n63246 74296\n4540 24001\n23393 40507\n55271 66413\n4646 25697\n27297 74993\n65041 93806\n18477 59155\n33913 37441\n1014 81542\n13763 33655\n42834 91657\n57 17491\n55971 67120\n42060 92538\n57171 88660\n6769 51353\n47661 81238\n51543 52046\n30688 82075\n10551 94695\n66141 95673\n88931 92164\n19382 34173\n13957 76662\n72382 75139\n52658 91479\n28294 72055\n4033 43988\n69986 90235\n28022 67188\n46826 76728\n55947 60836\n54918 82641\n7484 62094\n1790 31418\n9603 76310\n38293 78672\n7008 37613\n49711 60529\n981 47642\n40508 87661\n58622 84734\n89986 96823\n39501 72551\n29764 35552\n53100 73500\n15021 44481\n13837 73821\n35380 43524\n32162 40695\n53012 63248\n2638 87924\n30500 80517\n6642 10412\n56178 91499\n76490 99891\n40259 58681\n27741 85939\n5388 70363\n23915 60338\n7525 85948\n49895 89963\n6890 18488\n31987 45118\n51199 54272\n30345 42867\n12564 50185\n26743 79288\n29315 79810\n30083 63568\n13546 42985\n17811 79046\n27277 63547\n11068 54759\n36478 56614\n49728 96052\n36734 84821\n37653 71504\n1817 78799\n33783 80661\n63944 72516\n2540 44554\n25664 30762\n83167 98097\n19416 43290\n275 70950\n9123 10566\n7672 77106\n71820 99302\n67391 92371\n40489 93424\n17059 57359\n2020 80682\n36774 64855\n14033 47163\n28698 48279\n25182 52102\n6188 91046\n17217 66480\n6431 19071\n19293 20390\n13216 96971\n33148 34717\n22149 73109\n61434 78838\n56589 92123\n51207 97797\n15648 37306\n4375 59344\n25814 93140\n4695 56741\n33085 51750\n17477 91947\n23201 49626\n8341 16007\n62435 68524\n62680 92330\n645 77256\n51619 60269\n72248 76419\n15140 56787\n79680 87307\n21541 21547\n58064 87910\n16665 98315\n3955 36481\n71946 74003\n29636 55542\n14158 95070\n5356 29999\n94828 97490\n68856 68870\n12531 34820\n53523 72274\n40584 57414\n17747 28350\n42463 46366\n58480 68209\n91931 92888\n11020 79128\n21979 49854\n54603 83059\n82259 84544\n46670 56536\n55144 80478\n7257 44870\n33889 78659\n68464 97048\n5846 69221\n34361 91548\n19889 36632\n13336 52104\n30418 48797\n13284 80974\n21644 22150\n17018 21557\n7662 26257\n38027 56215\n33179 81662\n48139 64168\n2280 6972\n42447 87815\n33047 45795\n5825 96183\n18045 29353\n13834 17670\n20407 52431\n49860 74666\n41397 90526\n22297 80213\n44945 80428\n71566 72045\n8468 43695\n35868 43223\n23685 62841\n1555 71759\n25417 95599\n37976 42774\n34208 47631\n10458 80044\n67472 93576\n6652 69295\n52962 79477\n74789 77418\n89480 97808\n47022 51737\n22007 84379\n8687 72539\n10123 99381\n32545 91753\n4893 50756\n47838 88940\n37602 81287\n28581 66755\n65733 72857\n38166 79742\n80561 87670\n37799 76354\n38457 67726\n17035 94019\n52901 66444\n59010 61674\n4378 22706\n58510 88234\n77010 81498\n23713 91306\n20905 48363\n78342 94271\n56484 69833\n10316 45561\n40303 72368\n11895 78191\n62306 70339\n49275 53023\n59897 66025\n26011 34108\n7469 80481\n41481 54853\n50166 56136\n3489 23684\n8498 99496\n15460 86736\n28437 58252\n82093 96745\n80852 91729\n4753 42090\n71849 86107\n8787 9498\n11753 58411\n5528 44069\n42239 60458\n23117 89821\n16917 31063\n49856 58770\n1997 8985\n28251 73621\n54084 68640\n12810 46306\n34778 52829\n73964 95393\n67598 95275\n35635 54612\n29923 99233\n7790 9786\n36238 44112\n22407 45431\n14244 96150\n66019 67611\n18787 67094\n16436 60754\n90500 91465\n24794 29958\n64667 76549\n33633 80488\n76503 99583\n111 45081\n32426 91917\n51182 63620\n60046 88917\n77752 91916\n53912 78087\n44891 73075\n2309 87502\n10685 26781\n56423 78955\n5330 61736\n44133 74424\n81564 88473\n48603 73667\n19792 50264\n77944 90214\n10442 32438\n14295 44638\n33487 61562\n40339 42547\n59023 62101\n10520 19282\n11374 62529\n10224 96397\n66686 98671\n8860 64919\n7564 71399\n59634 87178\n30437 41545\n30736 31346\n30229 48243\n4844 24688\n2915 60881\n178 78698\n48910 54640\n7299 72724\n36732 78098\n53347 74842\n46704 78089\n133 2525\n55963 60745\n7132 67086\n28125 47101\n30516 82210\n4108 76561\n5760 10529\n22494 91127\n6524 46674\n67326 79216\n31910 67337\n47439 73262\n10137 32232\n6628 44641\n2066 24753\n14705 35636\n58339 72906\n34159 64244\n7244 98716\n41074 73868\n41415 66098\n15887 41768\n17344 69630\n23405 56697\n4459 16998\n10180 67893\n3271 78218\n22337 82602\n9793 18447\n36805 80641\n17268 73737\n45560 68876\n12496 28182\n44853 62571\n3175 24056\n9625 95003\n24746 61639\n56543 71316\n16104 77498\n37041 82896\n2635 49046\n50527 55026\n77019 87561\n3422 28178\n26943 73657\n35501 99910\n76677 81500\n78512 90363\n27781 71722\n70438 97020\n14000 20388\n36626 92703\n68385 85088\n76506 90922\n7991 43774\n20490 94242\n25471 43398\n10183 74866\n2852 25385\n38219 85667\n63568 80919\n50392 84994\n59444 83626\n51033 78399\n30293 44110\n8054 62572\n52662 94032\n16281 20920\n96587 99870\n34885 90767\n68036 98070\n4631 65228\n12706 42901\n19708 30595\n827 57440\n15525 77406\n48190 88009\n55444 72450\n12624 61107\n71847 77175\n8824 88873\n9567 12549\n81843 96588\n63715 74458\n71746 73512\n60088 69145\n45744 86508\n27390 82782\n30505 50945\n48394 63326\n76232 95558\n23797 56499\n2064 28412\n12486 15444\n12021 20794\n16902 33648\n5450 47003\n15958 78676\n65573 89266\n42734 92453\n27025 73410\n44420 57412\n3790 19803\n19302 80795\n16220 22688\n3808 41364\n41820 98623\n30639 36600\n7308 8729\n31076 89206\n16118 29732\n4927 15057\n10160 63283\n35064 60827\n90764 91722\n43290 57967\n44290 60312\n1993 12335\n71739 81658\n35737 89056\n62040 93405\n36409 99108\n17904 55881\n21496 24817\n71945 92627\n2606 76002\n60207 65061\n16897 64274\n25177 95623\n21314 82060\n3195 35008\n866 69126\n6980 34537\n49545 94620\n69848 75521\n49359 94657\n49279 65028\n85485 93366\n10281 43834\n53474 58477\n74008 78265\n62228 67536\n71069 73402\n6125 91000\n29547 86290\n13554 31396\n40124 70322\n4996 75380\n30070 73481\n21978 68618\n6269 47284\n16326 16476\n13911 64126\n37977 97409\n54018 70546\n6119 8831\n39295 94590\n9595 97562\n47592 85625\n14887 36228\n44885 46868\n12658 56887\n53571 89656\n66271 79951\n1963 33785\n14214 68540\n32874 95751\n4180 51657\n56998 69769\n62124 67418\n76431 80927\n23005 41569\n35749 40963\n69450 81212\n12642 46132\n80292 92832\n77206 97452\n37218 75906\n33982 65740\n58700 96814\n32155 38261\n33682 66834\n32379 50310\n70426 73186\n72121 78915\n1287 16086\n30312 39744\n82052 86057\n42942 46532\n21438 50074\n26290 94583\n57775 59365\n64335 83211\n49629 94890\n46300 67029\n12038 20307\n724 27530\n24651 79738\n71341 85998\n11774 11809\n34487 98884\n68934 70019\n83472 98381\n11427 57165\n4182 46040\n43818 73894\n66026 81025\n15539 60307\n1622 26667\n16937 46460\n87769 96223\n43308 53662\n13055 88986\n40478 70931\n19790 86372\n24750 74817\n15484 63595\n84303 98192\n25046 78962\n36186 84653\n62266 75687\n45314 70660\n16465 74885\n90158 94262\n25286 53719\n20970 43761\n26828 29931\n15320 56556\n11849 66410\n45540 92147\n14864 30022\n31506 99593\n10342 96333\n10513 77936\n261 37686\n7010 29911\n16702 21952\n9002 63889\n15082 76613\n41279 95297\n13654 35458\n6274 41626\n53116 84911\n47139 98700\n60496 92905\n27106 89467\n65308 83342\n11185 75306\n70468 78562\n47302 66837\n22068 93348\n28680 42974\n15420 25046\n55223 56900\n16590 72142\n36196 70123\n417 63543\n29868 38577\n35723 49992\n7665 41510\n94042 97449\n15666 65406\n1248 65205\n70193 93840\n1234 76987\n50864 71110\n34996 59708\n28900 71981\n51867 64183\n24713 60032\n23390 67780\n51429 79933\n36419 55482\n70985 79911\n48069 90708\n37645 42630\n7130 9317\n25180 83593\n37604 61038\n59196 89253\n39831 68435\n10909 53698\n26650 71583\n47766 78508\n86177 99230\n6437 26262\n47591 90788\n10337 83730\n1249 69300\n40775 55389\n6688 99500\n276 45720\n5382 25427\n54204 56686\n43705 87453\n42486 71043\n15640 16029\n46125 51733\n62983 69887\n15985 61812\n18136 68256\n64897 81251\n841 10571\n80697 87352\n54135 64971\n48009 98407\n36896 61757\n42894 43667\n31199 55932\n69199 85518\n3205 96107\n15804 49932\n34899 35914\n8525 68220\n20180 60061\n5984 64458\n54924 74868\n25968 27446\n83051 93857\n7582 46059\n52194 91308\n54609 71044\n42411 76652\n62337 81588\n55492 74727\n72644 90818\n80078 88399\n23050 63952\n19995 70372\n42846 72022\n3374 68505\n31342 34970\n52293 71286\n1274 71780\n46412 84338\n54931 55232\n10614 26179\n36359 81038\n3339 85583\n51239 97325\n18297 96192\n67993 97722\n4544 17383\n28960 59013\n7238 56628\n67478 88164\n14252 99288\n49147 94963\n31122 43947\n15317 61507\n83201 92718\n2528 9238\n23335 64978\n21972 69364\n39485 46116\n62113 63914\n9854 51932\n40856 62551\n66870 66873\n46374 82374\n21427 54546\n7115 33936\n9127 36375\n39202 73915\n33605 38781\n44605 65365\n19235 35156\n55630 66171\n10867 44805\n19262 79761\n19353 72344\n7699 56965\n11311 29700\n8870 34278\n27728 98511\n54538 59133\n17133 43817\n60925 92063\n25428 70135\n58559 84942\n13547 82439\n61177 70469\n1791 75744\n82503 84765\n9804 55614\n14009 84689\n46936 74080\n43852 76682\n4112 42552\n58674 91533\n12684 32053\n40472 55550\n18915 22119\n1765 62961\n39947 42052\n25896 37752\n25853 71747\n541 16575\n18379 78169\n569 71189\n64324 72414\n22044 89357\n26344 41387\n29219 73961\n2576 62669\n38067 63674\n26997 55237\n11126 67583\n41898 79121\n1789 5824\n39230 42714\n44408 89147\n27315 89757\n40925 45127\n52032 57200\n75718 92645\n30649 95790\n5905 94514\n21294 90284\n10828 86903\n43256 69379\n43788 94023\n6397 20677\n32354 65644\n57068 68470\n18529 96276\n74771 95619\n47736 89342\n50749 71536\n11959 44042\n39000 57748\n53173 72618\n22075 77840\n63357 92917\n17672 26033\n34964 70404\n36836 64528\n28191 77143\n49309 51616\n29531 68489\n8968 24672\n33880 92010\n80812 90731\n5388 73776\n20976 46231\n12232 41193\n72751 80633\n2079 98159\n70424 84870\n52309 53966\n44055 56734\n16459 56210\n11519 73307\n64464 92193\n35068 96383\n58310 64963\n39677 45473\n51249 88665\n29839 61619\n32360 85546\n7379 87573\n33045 90202\n14275 44180\n5922 44211\n51657 91308\n75220 85113\n72438 91497\n32474 53828\n87542 92719\n1541 45144\n13716 77946\n20150 32091\n13697 20183\n2304 57496\n5219 84560\n60641 92172\n77889 99048\n13988 22650\n25394 93577\n26798 74633\n16657 57676\n3346 92981\n37324 79524\n61389 94822\n43280 49363\n33836 39578\n69601 93142\n59122 79980\n78456 83401\n8752 19839\n38584 81920\n12817 60229\n1348 25817\n22075 71995\n15829 86425\n2080 19380\n735 56519\n10322 34657\n69504 83170\n86421 98504\n29867 50852\n33272 35483\n802 3736\n21119 38770\n25204 84688\n75874 83474\n17920 90302\n28106 77371\n89516 98119\n32623 41004\n46393 46873\n5603 99775\n21828 37461\n43870 74015\n10130 89199\n27703 50739\n43227 98361\n2493 56420\n17002 55846\n74108 84258\n5974 51082\n32736 78384\n58543 85229\n9365 61095\n22329 39251\n5071 93292\n43307 62728\n48981 89348\n72306 80346\n19492 68230\n61250 79917\n51857 72008\n75868 77623\n27308 89404\n49523 82861\n31706 65839\n19352 92752\n39565 65183\n59899 85653\n70319 74203\n41417 86384\n14838 59919\n28828 87864\n8834 83122\n90536 90929\n6250 32226\n45671 92943\n23983 37415\n35713 68091\n27993 78048\n84578 87390\n18962 84899\n72929 88126\n3906 80197\n12587 37197\n9462 55323\n17589 98586\n83234 98577\n20924 70776\n24793 40463\n38581 79221\n417 92985\n48039 97755\n6846 71077\n42877 44317\n29548 87561\n37892 71116\n34907 84181\n51883 87531\n60336 70886\n38908 73945\n676 91385\n78399 82278\n21466 57778\n2506 46378\n2911 52730\n2983 85385\n36707 73463\n22482 25455\n9411 96351\n39021 50529\n42860 78475\n29190 39442\n92277 93070\n83440 94611\n9676 74532\n5364 86294\n29484 50700\n62431 99771\n39239 47156\n25108 28213\n37411 89156\n46149 72419\n32445 47697\n38970 88633\n20544 33621\n2882 89678\n19381 74832\n47451 86245\n40235 51119\n3937 86655\n2670 72514\n55021 80552\n21466 52834\n9592 61491\n26173 39799\n41689 68495\n26941 59313\n29932 58999\n39913 68011\n32936 87218\n56503 81961\n67309 79078\n50662 79379\n18199 38851\n47658 88868\n8967 86364\n22498 67262\n3675 27004\n50939 67869\n37971 58079\n8833 92813\n91243 98299\n14047 64505\n19802 43628\n12091 85702\n76540 86189\n11619 43203\n4830 7135\n85215 90141\n65240 71463\n33423 36476\n55995 68002\n35660 37118\n41857 96422\n2004 92451\n27338 84215\n18186 80291\n8096 96221\n79123 98770\n32724 99789\n21195 93538\n16639 67668\n43211 77893\n11477 95908\n7996 58769\n21410 27009\n48294 55342\n47855 49668\n69757 95770\n48722 74809\n16640 83653\n32483 61978\n82440 95242\n93328 93830\n38760 49954\n22324 57737\n95063 98100\n68995 95520\n54845 78160\n24294 29601\n2860 73853\n34417 91207\n46818 57218\n15484 62786\n38566 43431\n50402 78874\n76484 97324\n49066 96930\n53666 90407\n65900 85412\n22503 26239\n94695 95438\n11511 17823\n9984 74145\n7628 51666\n20290 55797\n43187 55937\n38358 81662\n70084 87799\n68457 83178\n64346 70954\n21315 99363\n9420 52199\n89668 93985\n19109 64165\n30491 87901\n22697 57807\n30891 81646\n16024 41346\n31704 66721\n10187 82596\n19917 33719\n19532 87199\n43914 62665\n55595 68336\n47486 93682\n812 40292\n40096 40794\n24276 84287\n17877 70877\n76012 85138\n64518 86928\n30504 40503\n11509 82109\n62330 97438\n29336 78650\n36626 81365\n7844 92117\n20982 99847\n25453 37688\n26278 60939\n17726 19074\n25727 48368\n51082 93050\n1185 93891\n25934 84985\n17215 73190\n43498 87408\n17957 97652\n38 47962\n21677 57629\n61657 76666\n81647 98750\n2533 26730\n41381 58726\n3437 78649\n42249 51422\n45811 82852\n431 24652\n70675 72103\n7069 40530\n37047 58757\n19084 74563\n64492 86439\n51853 60338\n70954 73221\n10834 37648\n59701 96789\n44923 84932\n9589 23184\n11600 27681\n51455 64284\n60752 96144\n35223 97864\n81998 95844\n5409 11626\n33348 37877\n19050 52774\n51602 94063\n39857 67899\n177 2126\n10010 69787\n31083 38095\n63751 97600\n6929 99028\n23205 29808\n1623 48313\n12120 73527\n40518 98799\n30620 82736\n29119 57808\n2660 63289\n39792 84415\n61784 68473\n7738 76306\n28567 29780\n80890 89688\n61437 67048\n15344 38349\n63394 66996\n874 9085\n20114 84243\n86725 97313\n64148 79105\n59317 72171\n19151 26492\n9239 81221\n41095 90762\n39003 92370\n4279 65234\n85604 97668\n62803 99280\n36740 46454\n39952 52550\n26822 88686\n62667 70663\n21398 99321\n26026 64964\n40846 50492\n34138 89601\n19859 91813\n22418 50840\n76966 97433\n85841 92553\n39044 54047\n61519 96932\n17008 69446\n8346 70038\n11386 38127\n5002 58890\n72667 76128\n1154 41672\n75820 85853\n52559 53088\n30246 34399\n9160 86939\n31262 51391\n19539 73639\n25811 35658\n21345 22555\n46761 52280\n44876 71012\n41766 53579\n54470 81311\n18008 52650\n51883 98785\n12972 96428\n51617 64373\n20631 53964\n56828 64909\n7041 90950\n22746 34021\n14814 88800\n39705 88496\n41178 64947\n14093 46488\n43268 83162\n62217 88953\n9638 46606\n9969 67493\n73372 99368\n2875 22664\n17670 42714\n81946 83689\n9646 43506\n8798 26986\n38339 79484\n18853 48702\n33029 34380\n53535 80233\n11334 36063\n2460 68922\n25286 67674\n7978 19415\n72943 91067\n40822 95913\n2557 69712\n3250 21471\n57878 94238\n5482 52295\n58172 92169\n46596 97756\n38556 88659\n29898 35162\n64035 86139\n69176 81475\n17265 93268\n51121 81863\n67813 94214\n3765 44988\n62035 86493\n44750 95825\n883 22128\n21546 49632\n6419 69036\n13751 54865\n12060 21919\n87972 89125\n18157 45489\n23294 54869\n16486 35816\n33939 67249\n62162 84817\n13863 18467\n52286 59736\n17217 67920\n44366 78616\n16687 67145\n38309 83058\n23318 77167\n61027 86203\n6020 59156\n31253 69447\n13796 45120\n65765 90479\n3664 71228\n21069 33023\n18887 90078\n11163 20195\n7648 22419\n26896 42461\n36458 98532\n76213 81036\n63150 90627\n29803 73684\n44621 88804\n17414 93154\n1502 75797\n33185 87708\n9021 85609\n32404 95048\n49112 75501\n12191 76814\n46069 47270\n9988 36312\n21758 30990\n47851 60552\n47522 75579\n32755 39103\n26211 97201\n23329 73165\n80000 89538\n36811 53448\n9024 99564\n69132 94881\n81906 83836\n29084 87279\n26727 90967\n61673 81873\n4016 74884\n30815 37408\n72010 77395\n13424 90095\n62999 91861\n21420 23292\n53118 82329\n17474 42635\n20802 29180\n68742 97878\n48990 87172\n7293 42551\n40096 96709\n47981 98278\n26781 75184\n32648 41575\n66843 84000\n68447 69576\n35373 62222\n24920 87424\n25303 46966\n42700 65025\n70517 73727\n47364 57828\n7035 88452\n11598 14505\n3864 80324\n67780 88904\n44167 45059\n4635 32854\n1983 44310\n79598 98020\n2219 87882\n41138 64399\n14359 70896\n11402 86970\n815 9290\n1140 15715\n62600 89679\n20183 32307\n19140 85131\n50320 98628\n11482 29894\n14904 61435\n12857 93861\n23430 80824\n1226 24371\n17992 37129\n24515 58450\n16628 42982\n36309 77699\n22622 24467\n24462 52172\n30865 85797\n21739 67500\n19761 24505\n13226 80529\n63801 82431\n14938 52229\n12000 49028\n41253 62375\n69966 94869\n14221 37568\n33681 85116\n58292 76614\n33542 46102\n84190 93343\n25066 69387\n8144 9710\n34326 69159\n4881 31014\n14975 72696\n58096 73971\n76053 80983\n2945 4830\n43694 54992\n41823 71717\n24580 42911\n9309 72616\n56646 65909\n12024 14589\n35268 82284\n36839 49632\n7834 78471\n38721 49453\n40 39870\n46273 66327\n74066 74594\n46746 48284\n24735 38185\n45376 87964\n5643 20100\n11715 19160\n25932 65944\n64548 88445\n14528 50743\n23812 70573\n85822 87765\n5391 66173\n26954 49909\n26580 61980\n42858 90226\n55493 56349\n88679 99247\n58666 72378\n26493 39718\n49762 92748\n2113 66519\n31175 61499\n55535 92532\n80545 95029\n52791 84598\n40548 95116\n47985 54895\n29854 81486\n12293 54770\n93026 95505\n59862 82134\n70324 77348\n78519 83167\n62282 73848\n90185 97238\n70456 72283\n20324 68698\n41456 93253\n18123 93787\n53944 93443\n9793 20230\n12871 59302\n47699 49206\n10494 64191\n76427 77901\n3126 70921\n2435 57156\n34940 70618\n15761 96076\n51144 74228\n20112 63229\n51219 81186\n25432 54980\n16256 76148\n46950 94278\n6251 73951\n6320 31239\n74416 88875\n2990 8182\n12786 74432\n38434 82072\n78006 85301\n31706 40312\n34965 96237\n14429 37352\n75204 96264\n17631 22347\n13271 24068\n41466 67960\n4747 31748\n20735 42378\n17769 46809\n68990 78423\n53301 65624\n32908 66862\n10415 20657\n26693 70395\n62209 82244\n19198 47342\n80995 94922\n11977 88855\n17221 93484\n72125 81987\n25606 52538\n35084 93274\n7757 91210\n28178 94878\n15755 78451\n81296 87426\n89494 99545\n10069 75930\n53112 97500\n55919 91577\n42616 69532\n43549 68080\n20179 59778\n15620 82044\n42397 66094\n12536 63251\n28215 81421\n28312 95387\n20082 51641\n7602 74115\n16559 85608\n12918 52525\n48898 86236\n11775 18855\n75691 94293\n63751 88299\n61535 97447\n43560 97234\n30209 71932\n94886 97631\n55245 83743\n41921 70263\n55778 73566\n28891 36802\n31159 70200\n57545 78576\n3036 64995\n5116 57586\n23016 63048\n64723 86264\n37831 44202\n37418 55240\n56213 84983\n2994 22244\n21664 52895\n2076 76496\n31691 35212\n75331 88442\n1816 78583\n40545 65705\n60472 69963\n6075 69312\n85292 91104\n51155 76968\n28425 80181\n34520 88322\n19552 63581\n65403 86327\n20476 87966\n57792 77469\n17766 79939\n23735 42563\n6634 7738\n44285 79657\n418 92070\n91074 91097\n14037 42240\n20167 75226\n70513 93127\n88595 96274\n34033 77418\n2970 66681\n22952 69461\n33 9127\n31473 71616\n51369 77170\n41489 79337\n24418 52003\n4277 15310\n10729 63098\n6856 13621\n68879 99148\n73276 94745\n12202 15020\n70120 80972\n8311 26016\n48233 92644\n6856 72904\n3817 36053\n2481 89936\n49400 78126\n37880 50069\n45122 80825\n46598 74216\n87812 98318\n20698 85453\n19353 50999\n34750 49577\n4313 41592\n20235 84310\n21954 95448\n23748 62392\n25200 40730\n34272 64469\n29260 95032\n26278 50427\n29948 88779\n20276 44793\n40613 94822\n17161 37611\n21289 80977\n60275 99418\n21567 91252\n29619 98108\n10412 84630\n17019 29632\n16382 68792\n15716 97077\n51689 70760\n61299 67950\n2709 21654\n27514 78532\n42549 92954\n41797 86972\n37885 49684\n24046 81244\n6804 38028\n31538 98449\n29112 89653\n35672 90537\n73301 90590\n47306 95663\n27658 67124\n20223 75035\n7350 70490\n21460 61017\n29173 78361\n4490 42285\n71470 79073\n47286 88516\n36310 61084\n19279 50772\n29854 49628\n79537 94368\n58273 84659\n19432 25930\n65033 74582\n25453 99570\n3926 65762\n11462 40483\n3554 70646\n72047 83777\n87814 91845\n75423 88709\n8894 25718\n8472 67934\n31655 64369\n35694 99351\n63438 75832\n27426 57938\n17570 93110\n59038 95558\n25871 48195\n8262 13360\n26630 65466\n22515 50932\n54445 90864\n1734 92763\n16979 47353\n13142 79606\n11841 93988\n12220 92479\n13552 99822\n70918 73459\n14801 20340\n57796 60775\n21603 67782\n28292 66687\n31843 41268\n57961 81822\n70826 91567\n2373 46680\n44533 53423\n2217 89749\n61214 90602\n849 68156\n9671 52075\n31986 35823\n17944 92650\n62239 78592\n54877 99069\n33297 68790\n38989 66189\n73600 99590\n18902 19864\n16594 37393\n11320 63508\n40531 97221\n42192 75780\n14538 84557\n30127 94700\n78982 91720\n4625 53149\n20561 38631\n63039 93870\n31151 91084\n45887 70172\n1512 2593\n27399 72704\n45052 68276\n21168 33495\n8389 90620\n32390 75549\n42050 87033\n35673 81244\n31506 47023\n32620 46148\n11709 68723\n16495 31318\n3399 54136\n28384 87629\n33163 63513\n65805 98956\n37711 60848\n37396 87361\n23901 50361\n88132 96121\n66755 77724\n65566 67165\n16855 67111\n1108 98665\n49634 93310\n28719 32935\n39612 83274\n16197 49198\n20727 62914\n31929 92523\n6403 88621\n30460 31814\n8837 95985\n20482 97671\n78744 80237\n1155 14785\n4599 45250\n29027 42649\n19080 26538\n13555 64959\n12054 46683\n41808 99523\n17331 94660\n4952 20308\n30054 48205\n2416 94887\n8345 80751\n11369 95248\n81603 93198\n50094 76741\n63993 94893\n86442 91292\n16494 28538\n56147 59197\n46299 85631\n42524 72889\n72241 74286\n9990 30705\n15013 60114\n17289 31596\n4788 61874\n18614 96928\n59286 83587\n40105 84437\n11673 94977\n5394 22340\n22228 54814\n14109 61667\n25036 63113\n6424 99113\n39644 47825\n27001 86518\n12652 86350\n29157 49193\n34405 92081\n46772 66336\n22803 68243\n42673 52817\n63216 92980\n79125 80216\n35152 93349\n15042 34060\n68512 91732\n61995 81505\n17385 64352\n32919 42181\n31814 64011\n7480 99208\n46547 72240\n46842 65577\n8402 91826\n7025 87789\n24282 92712\n13817 62907\n73354 94272\n29090 87042\n69088 71709\n12146 98056\n34642 62105\n82268 86076\n8001 82968\n42221 47389\n39613 86379\n77993 82604\n5645 98295\n37036 45955\n15328 51419\n2547 4566\n34398 92760\n3648 57288\n7686 98287\n29277 29720\n49493 51968\n3676 6989\n12822 21871\n17477 55937\n68744 83280\n33132 79220\n7549 27453\n15496 71168\n10227 52954\n16475 25843\n19495 43098\n9676 49057\n20705 80804\n42501 72466\n59157 78619\n12329 60895\n4091 71503\n8967 17059\n36087 74965\n32190 69020\n74272 86094\n14246 45119\n32481 85168\n50012 88812\n50857 55564\n52732 60161\n9795 59276\n29817 34830\n6515 48105\n4248 50233\n66045 81809\n39514 66279\n8470 75858\n3339 51168\n6466 92157\n14358 89140\n14379 17662\n38273 68206\n35267 87335\n2953 38688\n29365 57901\n43066 48756\n17857 36786\n2719 22108\n80019 90947\n7012 70198\n12411 25231\n93792 99236\n63184 68831\n5737 65771\n41703 50435\n70617 91748\n27254 77307\n28957 32923\n3391 57594\n25734 38014\n46034 69715\n24168 85291\n15231 69149\n20198 56078\n34070 64589\n6264 19257\n46515 62112\n32070 43530\n10418 52776\n21939 79637\n14722 81311\n38680 81231\n7250 58689\n53706 68534\n71551 95965\n12492 72493\n45529 52192\n37432 96579\n836 79323\n1450 52207\n21498 65509\n28114 50251\n27824 31217\n52460 61976\n15818 39326\n46934 82758\n892 28848\n56109 94065\n28627 33036\n20476 31180\n35059 50412\n33114 44767\n46678 82103\n23446 57160\n50362 98850\n32233 58393\n74704 93738\n69356 77640\n955 38352\n7406 29527\n30113 68137\n74443 89402\n9965 62754\n34579 56891\n32876 60211\n28325 73344\n19257 60377\n45548 49026\n19997 53168\n64937 72610\n49117 76420\n35715 45826\n31626 35570\n6744 80154\n56621 84347\n3153 3237\n15416 68464\n48473 87131\n36048 81231\n36371 97756\n8610 57719\n19621 63759\n51401 53394\n39703 65989\n26017 88562\n26946 69474\n76639 98047\n61681 82959\n46957 84876\n10812 75135\n76502 86028\n59861 77790\n8024 52643\n19361 69320\n17081 88673\n12284 84226\n37359 61197\n9439 32348\n12965 84464\n49964 64372\n24261 47684\n14304 26285\n8232 62673\n59425 59558\n1915 46087\n30501 71629\n26570 83635\n4670 98382\n5851 22232\n35756 88257\n12736 31087\n5877 43684\n20219 84462\n2703 67311\n35737 73054\n25585 32058\n30599 68931\n24305 61232\n21128 36428\n41362 74534\n62664 81353\n15884 68295\n4835 28591\n87481 95108\n6828 32824\n19180 52170\n61231 65077\n49646 72382\n52443 87296\n2113 15123\n20057 85252\n16038 96039\n54794 66964\n60631 78437\n28401 50725\n7434 66808\n130 37790\n76979 77604\n41780 85960\n69208 78675\n36912 99433\n53269 54469\n1863 17639\n12987 91030\n65265 77878\n53246 96632\n49796 73524\n4608 96429\n29351 81065\n2582 8991\n17026 19647\n4343 32383\n8945 15143\n38632 64052\n5686 49739\n6548 14225\n81671 96971\n44931 89987\n18872 66028\n27845 47826\n45143 50803\n34888 44334\n7661 19224\n28602 86976\n10861 30891\n28152 82488\n10597 52076\n69905 95365\n81675 97253\n70005 75091\n5178 81872\n24449 74244\n73020 86734\n93149 93903\n8253 57210\n45610 83454\n14760 32646\n9276 75650\n5244 83504\n19931 43707\n36208 77953\n15757 32603\n18471 69258\n49419 87707\n32464 94427\n42567 86747\n74348 83975\n6404 96119\n59514 82132\n33531 97546\n66567 87504\n16707 64958\n43599 82204\n33497 77222\n14490 38597\n43664 92203\n75745 95524\n42976 81652\n45355 58991\n76955 84180\n62771 80304\n39795 42468\n17132 85811\n2729 32690\n7815 17332\n41362 72120\n30483 35618\n30465 81469\n21562 34998\n29854 33092\n79403 93327\n9146 75278\n1972 18018\n36637 77018\n45703 64058\n56025 77681\n22311 34182\n7961 65192\n13439 29408\n25707 43570\n1000 97974\n951 33787\n70821 96082\n58143 63320\n42929 57774\n13199 16922\n4072 63734\n20572 96162\n21440 43163\n16533 53018\n77977 83393\n12175 65247\n34270 40962\n52487 86697\n49331 94834\n39666 46449\n9694 34522\n17304 36910\n5693 17258\n793 34533\n22614 41975\n15222 25506\n2399 14741\n57416 82713\n24549 30503\n51622 76699\n28628 51826\n35014 39144\n53780 72543\n40782 79103\n24511 81686\n35375 90177\n9817 71038\n42523 45106\n19310 84369\n26235 87191\n23321 73787\n9155 62656\n36554 97251\n85808 86072\n31881 35810\n43956 45148\n43088 56400\n64068 85919\n10451 85232\n47077 75683\n11146 29780\n44225 89025\n81469 97463\n1473 40031\n28742 53336\n52861 80025\n13460 19384\n15323 98821\n13458 89098\n44824 48145\n82167 95398\n66459 78084\n21506 28443\n27754 64716\n4447 48591\n17417 17934\n46346 50478\n62822 70344\n6685 80802\n12740 86063\n15951 22725\n20916 31086\n20688 98270\n3886 77285\n31837 43234\n23421 73820\n8847 14504\n27295 64557\n29359 63570\n44838 87829\n56317 81585\n16318 26860\n66474 76691\n65305 96635\n47663 65816\n7330 41854\n55886 65151\n74794 82759\n65384 78468\n38778 73512\n82497 99526\n21937 71189\n62780 76529\n57604 65368\n14787 77821\n42735 66116\n39961 43859\n24411 41194\n44323 67719\n11548 86590\n67754 74089\n29113 76580\n20667 73614\n12826 30073\n17618 54870\n56991 99199\n1414 84267\n2072 54973\n49284 65164\n7149 63192\n5407 64073\n26708 87845\n66738 85265\n30222 93342\n5506 18195\n86535 98499\n7254 35368\n31825 38623\n2416 46004\n43459 70462\n38070 67139\n46760 73276\n53463 69602\n76799 93121\n12810 61992\n40636 99273\n78602 98174\n38017 45556\n19148 81839\n11199 14745\n40915 90996\n93191 95203\n19680 89423\n62830 66018\n51338 90408\n30701 31919\n83452 85180\n14457 53823\n87934 95095\n33476 92904\n17243 64770\n25205 78478\n38167 74649\n50250 95845\n21499 34514\n32324 98538\n22500 82216\n28387 54218\n38221 97070\n41504 74846\n86863 90828\n15555 49502\n12525 26376\n32659 59049\n40491 55940\n21682 34647\n21904 33742\n4049 16319\n23866 47823\n60898 98046\n51191 83598\n20063 69172\n27633 68829\n54251 80863\n10104 22636\n9325 82836\n20425 29332\n47834 73520\n43681 56542\n47798 89113\n78978 94124\n21572 70025\n1889 65807\n9641 35870\n27582 38899\n39703 59731\n78922 91211\n3599 13353\n14744 48849\n65959 72276\n11585 19575\n2183 33059\n29196 57912\n18267 57534\n23334 84652\n14217 55513\n49320 77748\n81827 94873\n3343 81068\n38223 39051\n12523 53680\n79165 87039\n63262 86972\n28677 89872\n1322 80986\n45601 49840\n37223 60755\n370 7930\n31201 35793\n33140 89975\n46648 88239\n18258 61994\n14933 84481\n33463 82840\n91218 91518\n6721 18462\n36953 50395\n14441 98113\n20962 41150\n75998 97366\n22144 64732\n29919 74807\n65447 94599\n41684 78728\n208 22269\n7240 64851\n15932 91560\n48540 52739\n5598 60206\n53760 67943\n60094 71705\n20911 84592\n33272 41314\n69321 97890\n28051 79538\n5555 32917\n37655 62246\n22850 50040\n66368 78634\n73581 94186\n38194 96658\n20031 32021\n22323 67046\n72303 89000\n1492 34627\n12018 77509\n60597 62598\n7574 67792\n13482 53293\n25399 37650\n30962 85566\n35289 79813\n33035 52861\n15085 38523\n29170 56486\n80026 97040\n31703 70372\n45949 58433\n9784 54217\n44031 91314\n21643 22669\n58368 75949\n34624 75872\n50273 73191\n3328 11081\n14878 61920\n18257 30357\n90715 93273\n34589 92682\n665 6546\n52853 77257\n8337 84156\n18306 43473\n2289 34111\n21513 78012\n47281 53559\n22746 23394\n16718 77935\n17121 21016\n71479 84643\n37025 73676\n8751 85310\n28710 35796\n25985 41921\n12945 64036\n14137 51691\n48411 52988\n1251 51924\n54543 69352\n27327 82403\n36935 37235\n42791 53893\n6288 91261\n81551 97522\n14537 61218\n7998 85178\n48869 59158\n33333 92897\n26725 34050\n64745 92314\n39761 96801\n31905 64072\n42663 49904\n25528 69889\n39197 97552\n35522 98753\n62036 96697\n261 35212\n19120 48321\n60831 69882\n27798 45672\n31634 74101\n28566 30832\n7628 60303\n3346 76776\n91108 98947\n35170 60811\n87173 88714\n28499 29383\n5458 88147\n18961 58922\n42169 92396\n33165 55302\n10655 27261\n58701 76402\n36768 40326\n43271 54442\n15201 34518\n54714 83027\n50776 85950\n7338 30114\n40663 87673\n5965 66238\n9102 16456\n64654 74933\n80711 84561\n11303 82322\n5528 82979\n59654 76696\n41573 55290\n24245 99069\n41410 96407\n68822 75043\n43406 56258\n8185 93227\n23551 77032\n4970 68103\n33562 43194\n7160 56132\n35716 81083\n27565 29963\n19010 86257\n14949 60706\n58488 64137\n33713 98257\n68012 79774\n87812 97560\n6252 19776\n54706 71971\n33535 48702\n8753 32092\n36647 68679\n47417 77397\n36892 46243\n25093 54037\n19366 30821\n12026 12295\n31174 91645\n46953 94731\n87608 98257\n542 38389\n88145 97496\n3481 63979\n12529 34275\n14163 89633\n52407 56818\n11577 55050\n14903 47572\n8703 26559\n38531 69534\n40380 88957\n10327 85701\n87417 93975\n16716 75955\n4342 10441\n5157 63530\n5571 8720\n11057 86538\n50324 72208\n24260 87806\n17581 41524\n5472 30624\n71979 93955\n43841 77512\n29708 66025\n1431 83535\n80889 92014\n32048 40027\n29894 81110\n8711 36422\n8782 23861\n55000 56359\n12285 80370\n58660 67170\n7738 45936\n20257 48666\n16350 20738\n34340 90213\n24659 78507\n78774 88322\n71740 77769\n10899 16000\n72346 90064\n33380 60677\n77409 94091\n5231 70122\n21269 62942\n33337 60096\n39787 72413\n4629 49593\n35804 95398\n67498 96159\n26090 48106\n51966 65038\n38645 58918\n67286 85673\n39334 59426\n5331 74074\n46098 51346\n35331 58573\n1667 22227\n24738 58205\n84026 99844\n2127 90529\n69777 88820\n5850 32371\n16274 76860\n54827 97545\n30487 65015\n4090 41289\n35799 71955\n83841 86821\n81852 87232\n9226 46147\n3003 9105\n12105 26609\n45641 93433\n1902 44674\n69445 92454\n36617 40478\n34046 37434\n62832 98509\n39593 44485\n39079 58307\n25101 47402\n5475 86570\n20417 29392\n20056 81836\n12327 37793\n49540 81983\n22573 96895\n57655 67678\n13269 74341\n16709 84447\n8137 87665\n6481 57223\n1428 46253\n18054 97998\n8950 51937\n2958 82839\n45329 51636\n815 66208\n60631 84684\n15765 79597\n30354 85262\n47502 72572\n5167 33042\n21230 39906\n1734 23123\n4623 20216\n29054 63529\n61505 76605\n58030 73912\n46303 63664\n21916 79299\n31555 35165\n33111 90325\n13992 70289\n38847 77094\n18199 97734\n5308 54772\n40675 89103\n1619 70728\n26747 50492\n25556 34532\n32498 69560\n1257 50515\n61469 72751\n47107 70720\n6207 38169\n50639 87083\n8645 62726\n67489 88843\n9230 44583\n11233 69586\n475 86289\n890 93979\n71979 87518\n23048 70542\n27982 69172\n24158 91770\n25171 62318\n16673 87972\n49063 50912\n77832 82168\n45403 91875\n71677 72277\n52551 58118\n36685 94298\n6666 73740\n2347 32746\n33893 77863\n8345 78594\n29300 99756\n33510 65432\n23182 27911\n3082 93848\n58638 92229\n28165 64017\n7393 10534\n42753 54406\n13932 20212\n31604 57385\n37505 95969\n26700 57050\n15582 29119\n25209 44561\n2727 82610\n23934 29384\n25473 72217\n52774 93841\n70057 78667\n78310 99557\n30132 98814\n41060 57147\n29024 82904\n14955 41434\n23899 26953\n19213 95156\n40862 62442\n20936 50727\n36908 58144\n93871 94727\n19765 79259\n66446 91684\n25936 29917\n13223 48897\n563 96398\n54120 93553\n37884 80437\n80678 85219\n10084 64375\n31762 87718\n39859 53424\n9573 24570\n15336 41862\n76843 86466\n85180 88588\n84360 86759\n43362 78620\n12087 66009\n33514 89252\n12615 59983\n8191 33676\n848 11456\n33201 98845\n161 3362\n22790 62580\n28918 82945\n60025 96893\n38760 92029\n65159 90216\n37072 66749\n11896 60726\n44308 68785\n33368 88895\n71955 76636\n44274 95097\n33063 98445\n20577 42066\n35439 70052\n71224 78003\n29588 56443\n57170 75128\n65134 93715\n21494 70233\n29509 30387\n7096 88015\n90223 93645\n3777 54241\n18606 52430\n18730 68754\n54457 65511\n57685 97476\n6605 85339\n24097 43319\n46815 73591\n44059 97777\n25248 52723\n26433 72522\n45058 52798\n10342 35047\n46425 84933\n30845 62160\n476 61714\n15985 31512\n8986 66960\n14828 67331\n35943 79676\n49637 63465\n28399 90578\n12253 20722\n62531 87007\n61167 84973\n56645 88401\n42683 64289\n46539 73257\n59109 86861\n43566 93866\n21020 53437\n82280 94322\n25696 56522\n67768 74137\n28421 63783\n20562 89063\n6347 16029\n3384 58487\n16474 78205\n42684 77606\n7177 23844\n74599 79361\n40951 80424\n16296 79065\n55304 75228\n11496 58643\n6496 27174\n37092 81337\n16133 83427\n10846 57339\n14222 54074\n20810 57175\n2363 35982\n14100 62110\n67773 79947\n8082 85817\n83303 87477\n217 35958\n1288 77616\n64145 70747\n8497 39172\n44059 84803\n6062 14347\n11991 45140\n44574 61898\n34087 60045\n48543 65410\n71943 82215\n24605 95238\n58625 77344\n15428 45221\n85228 88027\n29983 48816\n3558 24521\n26530 83950\n84673 98399\n75077 87911\n14176 99841\n32013 84842\n22905 42609\n39770 60993\n43959 89274\n66275 89756\n31097 97532\n58580 98453\n69516 92797\n40100 51928\n15297 17530\n17456 19197\n17263 36358\n37540 86889\n51085 89603\n26526 96372\n42980 48509\n92616 97748\n60554 91763\n29035 99887\n30757 43817\n82648 82765\n23620 28219\n17578 97686\n18265 41579\n1814 51927\n16770 42146\n10263 74574\n36527 45226\n7230 7654\n63151 88865\n10588 26421\n19145 38934\n59779 95914\n43032 96932\n5611 32432\n9353 68701\n33540 60490\n13407 68593\n50272 61987\n23380 80946\n6767 62858\n6676 67896\n28992 38560\n11064 14326\n4133 34922\n241 45608\n56234 71877\n22918 75553\n40615 87321\n48030 93350\n10558 79871\n20723 38188\n85029 96918\n77294 87178\n69339 70820\n48220 65026\n26244 88685\n75654 89178\n85299 95440\n2807 66935\n41489 62658\n20998 89484\n64103 69452\n25498 50827\n35736 74462\n40986 63962\n42955 66295\n5245 75730\n31857 86310\n25470 29489\n6843 20174\n60289 61594\n52829 97027\n21812 89196\n25846 54699\n11730 57010\n6473 64753\n10746 78311\n7066 81064\n72566 94630\n17211 36411\n68726 72448\n47443 95911\n10928 70967\n55827 88210\n27998 98983\n36955 65545\n52013 74500\n20101 34507\n40414 92168\n22184 88121\n51136 51235\n59852 88282\n1349 72991\n10418 65370\n21309 78077\n34419 69385\n22851 70237\n21975 49529\n67146 78622\n32209 45619\n63970 64836\n71213 96812\n3296 73567\n2313 54005\n15829 49138\n85986 93583\n6930 14158\n7929 62751\n21112 39148\n8951 92444\n6899 57422\n50514 92543\n10794 40025\n67418 98318\n21791 48926\n25153 87553\n13399 80978\n16265 17731\n53537 95661\n71736 84612\n51792 78631\n9798 29297\n80156 81727\n76020 84159\n15378 51024\n1144 11429\n15356 99164\n62388 93313\n69047 84023\n22902 81743\n42670 67038\n77107 86668\n19063 87701\n61122 90871\n23928 79133\n50561 87504\n70802 80937\n7637 52489\n46100 54641\n56073 57781\n52077 90551\n37762 58173\n36346 72433\n26636 53179\n51594 94051\n11419 22220\n38867 96360\n5692 87970\n24705 62326\n55295 70543\n59496 91846\n42035 50606\n78816 95293\n67910 69845\n11970 98625\n10359 54048\n6994 31912\n16511 30171\n31285 35302\n6590 46804\n8964 87542\n18310 47707\n61071 61653\n19722 30325\n42971 58221\n2212 68381\n9705 50635\n20779 29385\n54256 93179\n17326 71222\n8685 14120\n21858 84940\n9687 15848\n5382 24229\n15576 72881\n30711 60713\n17698 71351\n5677 92312\n14186 74451\n11574 62683\n15022 68530\n7527 80704\n8677 31015\n78979 86856\n22845 33631\n2066 7176\n9611 31295\n7608 71415\n86691 98047\n81662 92825\n11170 94120\n9616 24499\n63447 73538\n62037 83423\n16873 53174\n13726 95863\n21343 58677\n6321 98877\n31317 80859\n39412 83796\n42741 96737\n19703 82573\n57479 97482\n3305 43208\n55142 77463\n20621 99154\n16473 73478\n75171 76622\n59552 71385\n35137 58203\n10707 20826\n48286 71043\n16252 81987\n32677 54014\n14415 37637\n30641 55777\n26060 29589\n58699 80690\n29899 75690\n2668 17241\n44506 92077\n65969 67419\n64733 80536\n84214 98370\n43638 66035\n12811 42119\n2597 32613\n9377 44982\n41152 61217\n13727 79515\n18803 54566\n30745 52719\n69367 87202\n32397 58425\n26486 60886\n66692 77371\n62068 66207\n62883 92783\n55936 78812\n5097 79531\n1656 10798\n34363 50740\n19185 52256\n43693 85797\n19134 58753\n58260 98385\n10958 25194\n4312 98435\n16875 49287\n41 74062\n44513 49733\n50940 76897\n14489 16176\n37299 88388\n10421 31632\n8980 27587\n5471 31065\n58793 76023\n49415 94126\n14875 27553\n58190 75753\n35703 82001\n10873 23306\n30788 49580\n29490 75252\n15070 65575\n25586 75818\n21905 47454\n7502 92592\n51242 83001\n36591 48003\n32792 89408\n73121 97109\n6461 42048\n15268 68067\n3618 71916\n4749 50564\n43833 68486\n36436 60643\n37368 59402\n408 16591\n11571 74726\n6363 15132\n3168 86481\n8049 14207\n71663 89262\n54486 59423\n73489 82368\n36721 56561\n7910 73246\n4962 12264\n31098 69655\n30388 75022\n29649 35643\n12951 92009\n1383 63272\n27045 59969\n18193 92593\n12944 20570\n88751 90953\n24631 49330\n35434 51302\n31020 43549\n78533 83536\n15982 21991\n21857 62261\n78115 78298\n58115 81121\n80012 90788\n83681 99263\n17037 19743\n33390 47751\n21472 59443\n31695 74216\n21443 43993\n26359 95177\n44872 63446\n34063 50680\n41283 49896\n12716 83973\n50375 73580\n37479 86966\n50685 55798\n35502 85604\n37689 84129\n76392 77260\n52432 56410\n22543 25904\n29874 91539\n5309 60221\n27959 85631\n55977 65788\n28311 43446\n21641 58171\n42443 96481\n29390 69165\n46848 77911\n67061 91295\n21883 64509\n43773 50260\n5790 17568\n4679 14206\n30388 95401\n31597 34832\n29957 40436\n43348 66988\n70519 95741\n41028 96200\n42819 70083\n35392 55068\n19758 33435\n3652 78715\n58157 74766\n32347 52782\n66480 83566\n44579 66102\n2357 28734\n57929 91871\n80497 86375\n48810 92865\n32141 99793\n25895 35644\n19300 61902\n33747 64405\n35671 40909\n1627 37161\n17202 74990\n17706 88940\n45263 86197\n21579 50306\n6511 32599\n82274 83265\n26958 65784\n5146 35689\n23392 84560\n7605 83414\n28557 29807\n10326 79132\n33933 56131\n8240 70451\n52049 72085\n27400 90356\n43988 78274\n22622 60939\n12086 60246\n8844 36767\n5984 25183\n91762 95324\n66777 97936\n71645 79686\n80080 80711\n28074 94208\n32914 41710\n13827 54492\n43975 83014\n11153 84268\n18660 27285\n9181 32518\n16315 75431\n36329 66694\n35863 91193\n49799 70548\n27003 93618\n25566 97725\n28987 63941\n68047 69655\n21221 84126\n23444 78951\n9455 77933\n32880 72425\n6204 82973\n6136 52743\n17205 50203\n64121 77019\n37368 92781\n27998 54206\n39420 82375\n35824 94571\n24404 83773\n14374 75901\n86144 88790\n27651 29508\n15755 86127\n95932 96116\n14959 84580\n24454 58040\n37700 39444\n8065 13077\n23158 24513\n40529 61975\n31254 79576\n71423 71452\n35085 76013\n14250 74061\n31024 86408\n31016 56164\n37184 88568\n54922 79522\n25443 94028\n22230 89333\n6906 82909\n34761 96256\n16 26202\n7677 58908\n19158 71553\n13601 43629\n25264 53260\n57247 74087\n54716 87944\n72302 73884\n41257 98512\n34786 97556\n23870 43099\n35317 57007\n14292 99818\n67254 91487\n3249 23882\n22478 26243\n979 2338\n60582 93825\n33520 94833\n926 23672\n13573 85821\n21577 22442\n10487 22745\n33918 71217\n96 60341\n4349 82834\n5771 52321\n52375 63318\n56877 84383\n47314 58939\n630 36621\n53194 74672\n34791 60083\n37684 48904\n72939 74756\n78910 94560\n29537 56022\n29694 79598\n35222 68014\n8087 30116\n81627 86402\n587 21055\n10328 42729\n43204 45733\n61458 74600\n2293 92848\n72974 73650\n28246 39028\n36319 46622\n43106 94519\n20586 34857\n22469 33821\n20805 31599\n19914 52263\n8588 84205\n5850 26813\n38039 76980\n39905 86341\n25209 53621\n58234 98225\n51177 82457\n27178 44251\n18274 35929\n5872 49716\n38371 73988\n51179 69446\n67725 99507\n51400 97851\n15035 91730\n67358 88136\n20186 46618\n50959 63547\n97003 97293\n4317 76462\n59882 80573\n54429 71554\n35109 65252\n47659 50794\n15760 61318\n40010 93013\n20917 79476\n4284 34522\n32810 51947\n13260 69722\n37213 85928\n26637 85247\n64585 89301\n6648 63840\n60933 68956\n888 19895\n19155 71359\n74768 98235\n82422 97864\n2184 5545\n73669 78533\n4712 26340\n12358 52748\n36945 88257\n31843 87901\n14958 64955\n58404 85617\n13829 58265\n22525 24591\n41281 68102\n45415 73848\n87548 92750\n23503 67278\n40427 82294\n5603 43554\n60486 77316\n49754 93417\n46538 72158\n49136 92062\n67270 78889\n47258 73249\n36754 86054\n21559 25949\n19218 88240\n63331 67373\n83325 97584\n23601 78701\n49766 93916\n35167 48983\n19067 55475\n60752 63060\n22080 86114\n74330 77253\n19134 39176\n81 72063\n58240 77947\n3017 49467\n57229 80577\n69915 88696\n57246 61313\n29262 59735\n14632 49379\n33610 35447\n6253 78846\n55261 94692\n28034 77080\n27861 56348\n80314 95800\n40894 47805\n75430 75604\n37310 77185\n17819 30063\n6904 19897\n18426 54529\n2294 70933\n14291 32294\n32478 65699\n58771 99767\n6343 89983\n40647 84881\n32892 46799\n63277 93203\n63982 94848\n56298 73291\n24804 47114\n23571 24076\n38848 67471\n21647 23537\n67402 73677\n5343 15222\n53999 89518\n83434 85572\n57163 68515\n49788 97992\n48455 95601\n71408 88496\n33510 77715\n86003 89011\n6653 80017\n28744 65599\n10839 70529\n4529 26095\n37611 64889\n895 18178\n12222 20572\n1973 62025\n10464 22987\n6883 25543\n16522 48275\n78261 95417\n4520 24110\n28070 74459\n1176 13924\n41838 66849\n8763 48183\n9126 92693\n19094 34966\n9000 78428\n32213 72764\n53256 94082\n47884 87220\n21965 33378\n60269 98376\n29686 30859\n69950 95505\n74460 92726\n50352 56525\n9167 26367\n32040 76026\n14689 65578\n29729 53178\n59438 97224\n4655 23660\n7184 40381\n12468 31793\n15014 42888\n39567 62018\n33313 91997\n49380 56838\n11180 13296\n2579 84673\n3986 49128\n43779 72334\n8603 33704\n60855 65700\n66029 90237\n35902 57306\n55716 73462\n76804 81040\n3366 44733\n74822 86084\n19255 80339\n71481 99653\n66901 95155\n27760 43984\n39793 65098\n49231 98177\n62000 83354\n71005 92661\n103 14868\n19137 35098\n14434 36979\n23872 86868\n19364 89665\n71916 87758\n34321 81158\n32277 32930\n29962 95256\n46074 91128\n69668 86878\n23349 29194\n56343 75064\n37902 54262\n73622 98240\n62995 75028\n18996 58760\n25899 68153\n25269 73446\n28165 95910\n34543 66418\n6863 98200\n68173 85311\n36742 70809\n30704 58419\n32629 58323\n55519 55745\n6798 70828\n21077 40140\n31998 42676\n48164 76109\n5875 10547\n53027 59473\n23227 80849\n66027 66714\n10948 89120\n44709 69650\n76010 77481\n54091 90313\n56714 86680\n5182 22851\n12163 24941\n55992 88546\n10109 81205\n4949 39344\n7665 18989\n47597 72408\n4755 44681\n74943 75768\n42031 43896\n52011 92447\n20671 29242\n54014 89277\n32332 94420\n29740 89321\n18670 70332\n38030 75092\n82994 91564\n32326 62712\n25919 76989\n24002 71834\n75484 93003\n22787 53333\n31462 46585\n30344 58820\n69831 75828\n39329 55269\n88603 93298\n974 45774\n41345 70847\n37967 86459\n6655 14860\n5830 90028\n55661 80622\n12154 63378\n34685 71894\n84921 93548\n35465 97954\n85968 91775\n92887 94797\n8673 39678\n54602 69186\n41731 50938\n11691 34424\n30961 68962\n65131 71875\n36204 53320\n24628 39028\n7654 92395\n74003 90113\n7710 52523\n54700 86389\n62854 92652\n18716 60206\n9159 85142\n32034 97305\n1618 90815\n5248 67704\n14845 55447\n21295 72359\n47700 47748\n3360 77175\n31918 35229\n17504 33034\n93725 95849\n19083 40648\n59449 82041\n16143 27151\n77224 85892\n7254 13546\n42173 74666\n17501 70135\n36923 81913\n69569 92203\n14574 81310\n39180 82619\n59999 89099\n971 4919\n62851 63226\n22812 35726\n21116 69429\n3354 41586\n16366 30962\n56354 98396\n41858 92624\n44907 97717\n6470 70302\n2173 49197\n66924 87440\n14069 38673\n45345 82110\n98088 99840\n29240 54216\n20988 67355\n21213 64435\n26959 48138\n19065 97602\n42636 50275\n20234 42486\n33717 91570\n27901 48874\n891 64759\n18293 34244\n69463 96761\n23228 93885\n34706 38323\n38897 73557\n67183 88717\n36848 73565\n25743 77381\n1748 50033\n22160 93809\n45915 90720\n42761 64603\n53931 79087\n62018 94795\n37230 66558\n2751 47987\n4553 43131\n47954 70015\n62304 83565\n35615 40173\n43841 95374\n14626 64720\n13396 45187\n60310 82683\n24278 53806\n34487 48267\n4569 94302\n20805 31103\n11503 74365\n24346 93009\n3720 93026\n47279 61749\n57317 95591\n24915 56475\n2495 7440\n27843 93398\n69707 93236\n15511 71746\n47103 93456\n31571 63424\n1152 61531\n494 18729\n16747 95883\n69763 70659\n13430 82445\n94101 97713\n61599 88848\n5012 14030\n14084 74249\n46955 64049\n45272 51693\n16333 94462\n23384 26468\n23543 92323\n64816 72276\n80724 82860\n36231 94201\n45954 75417\n75964 79149\n56906 74403\n14277 76184\n47760 71566\n16922 69531\n20211 74496\n41952 73360\n2115 46848\n18794 28891\n34790 55648\n24800 99205\n40170 87592\n18234 29836\n6203 77273\n12876 79604\n6192 14120\n48098 51555\n47045 75884\n7444 54006\n10219 51488\n5863 74951\n44715 96737\n2487 51542\n7956 26727\n13274 63790\n55024 77851\n47280 54430\n52118 93971\n32719 58821\n52 18167\n39444 67852\n46475 86842\n26347 38839\n23349 45178\n8825 86677\n63215 65991\n69339 73248\n75018 95791\n51166 83988\n25094 67647\n40748 97531\n44777 97389\n34844 74919\n3903 41708\n706 88695\n91224 91427\n15509 87065\n49989 50141\n72910 90100\n65636 84855\n10697 94290\n44689 64737\n77478 94457\n11843 77448\n33665 55660\n67345 87514\n50867 60588\n51370 56270\n1006 58488\n6462 20673\n19580 37170\n72449 92865\n1798 52495\n64081 97145\n18408 67785\n28350 88216\n184 73002\n66526 70991\n33577 35405\n67559 77819\n12123 52817\n53508 57979\n10731 58616\n84356 87840\n17347 56296\n80909 93663\n31766 39063\n37761 38138\n50215 75614\n34780 40517\n79652 97594\n52554 93380\n25984 74449\n55843 79211\n32739 39209\n31880 66651\n39816 75812\n42477 47688\n34233 62739\n48232 55524\n73870 81866\n3061 96112\n54801 87880\n75252 76394\n59600 61797\n42579 76926\n4749 77838\n2288 68505\n31373 78465\n82578 88755\n7927 76573\n79055 90861\n401 57519\n17175 94217\n40506 58983\n41934 96267\n41457 89642\n68025 99146\n57104 77590\n46333 62147\n56208 67844\n1296 70568\n103 98067\n17164 82853\n13420 16980\n95257 98485\n36534 86401\n18943 20028\n1333 41690\n59332 61787\n16074 57949\n18425 18735\n3867 21878\n5615 54934\n60269 86020\n49792 86481\n76479 94376\n94373 99702\n9889 89274\n33715 81003\n4376 87176\n19258 20774\n1373 36655\n38133 44058\n29510 62526\n36646 52869\n1685 28448\n28991 62016\n4253 83825\n37883 49658\n56651 61431\n38395 91690\n66587 97236\n33141 43120\n47625 48163\n16657 31812\n14410 40224\n56441 58506\n93006 94078\n9042 20764\n2892 79388\n1041 40546\n82580 98501\n27634 54034\n25951 77628\n2027 38042\n25593 86250\n37747 46250\n924 65042\n51778 66003\n46914 74390\n4505 74951\n73147 91253\n49656 50107\n36977 39171\n45296 87156\n8339 10659\n69078 86534\n44091 53661\n43898 67711\n14031 44065\n44011 46737\n93919 95294\n24497 86607\n21278 47573\n32324 88175\n28115 74334\n19268 47400\n52872 61105\n12939 58229\n13791 67063\n5282 40500\n45008 46312\n23123 71611\n17091 19593\n50551 82021\n15390 75311\n4729 74911\n56035 82704\n68652 99706\n34786 98902\n25366 95093\n10499 75628\n7571 34459\n8957 21337\n50686 83575\n68407 68734\n11370 48570\n3215 37616\n11954 85077\n22806 78498\n4692 11812\n55729 75053\n6596 37102\n12734 90097\n27122 62094\n35563 60237\n31200 80120\n16744 94267\n14459 80747\n3909 29145\n2727 60042\n10192 74320\n41189 97273\n9679 92151\n18717 36221\n387 17922\n28533 56539\n38461 81045\n53946 82300\n68497 70286\n26725 64091\n35842 82714\n13796 86478\n32387 73256\n2105 52258\n27417 64395\n13230 57082\n52478 99072\n13637 50969\n22119 70333\n29976 91904\n9719 21699\n14135 55592\n16290 65908\n12902 21394\n14830 70893\n16943 69059\n30892 51744\n785 63196\n28018 30852\n17705 69818\n26250 94440\n50899 91329\n6307 58044\n10873 38325\n47558 89867\n45504 95545\n15474 48816\n3554 83844\n32724 64385\n11973 39117\n43803 69351\n33727 56368\n34673 77785\n11602 77300\n34772 40457\n3260 55225\n78239 80331\n6644 52752\n17538 69587\n5724 21115\n52179 89955\n92876 95340\n46925 56569\n16549 27041\n61373 80106\n66572 76600\n14062 77336\n37980 62637\n42768 98133\n42971 54387\n20544 63784\n52985 69856\n22744 64370\n42392 90291\n28433 65609\n19484 52615\n14082 85678\n17514 59445\n19657 27271\n47903 88856\n2140 64644\n27874 63502\n71207 74653\n20999 53542\n74087 81621\n15074 43561\n591 89472\n31452 56499\n35398 77414\n7570 50395\n32845 74249\n52465 99793\n5202 45119\n12088 16592\n8497 43342\n22221 79857\n11805 77944\n41090 77629\n44953 77918\n12273 69298\n79667 82424\n69858 76862\n25363 54253\n28009 89863\n22567 81305\n46849 61688\n19523 62369\n23082 48492\n72577 82326\n35560 98433\n61137 88476\n39855 78168\n7859 16324\n39820 91060\n38093 40079\n54495 68782\n32329 96494\n3325 92405\n33858 68574\n5532 50425\n39446 73840\n7612 28554\n29643 99971\n8268 44168\n24427 89937\n64321 65585\n4925 72392\n17299 42860\n7090 65852\n17077 60771\n16749 67913\n18199 84623\n35328 63384\n11112 29572\n6491 23800\n628 46105\n14863 74462\n57902 61759\n7505 15811\n61607 86697\n80143 88315\n73438 93413\n4699 12331\n10328 91149\n40992 66645\n41072 85618\n29175 94460\n13394 13958\n24780 68539\n48324 94067\n11504 87165\n26261 69844\n72716 79468\n35881 85206\n28061 52728\n85532 90156\n6186 46613\n17586 35050\n32918 46950\n41353 88631\n3746 75342\n13504 66612\n46989 53858\n24331 77876\n50774 94855\n60211 90672\n25824 44267\n9147 49368\n84255 89171\n26587 58034\n62316 99205\n71071 96454\n20458 89291\n24382 38662\n16857 24889\n39158 96301\n8215 60032\n889 88379\n66359 67382\n42180 64887\n52349 87541\n5560 77678\n24542 80914\n2813 70788\n12671 16137\n3851 89643\n39158 64723\n78654 78730\n8310 69217\n51979 72048\n63966 76293\n30455 42573\n16968 66031\n32249 91377\n35857 41431\n8480 78029\n60332 94803\n24086 98752\n70729 87656\n8597 42111\n35496 84904\n15512 49670\n14539 44197\n17477 50227\n29793 49581\n45358 97134\n37665 58252\n39527 53962\n17094 49795\n27491 35539\n20195 30683\n7713 81211\n25414 39319\n2007 93317\n73535 93709\n49308 56530\n11340 57589\n58140 92457\n15752 73748\n148 63780\n330 47359\n10459 13241\n16390 45569\n52701 54449\n53140 94545\n16226 96931\n68512 91944\n25033 85328\n1428 56615\n28221 47080\n2643 89686\n57770 67820\n47913 75536\n66734 73978\n25144 69278\n82948 91778\n13929 48238\n40619 66951\n64312 67151\n18360 34191\n674 14969\n57658 75949\n32500 72112\n13303 61970\n27441 55828\n17874 18597\n26406 93139\n7214 88247\n26385 27067\n37274 64531\n66713 84417\n43645 72606\n42930 43587\n3333 95427\n43840 94542\n65256 70984\n13967 94463\n18787 69962\n23200 45795\n27392 47240\n16306 98474\n47494 95525\n29374 67702\n43701 90554\n57906 88465\n25887 85345\n11491 39953\n2997 43108\n61855 80111\n39641 42169\n2905 48083\n42739 48309\n42947 83696\n83767 96786\n67771 96006\n65208 80247\n38178 99754\n1730 14173\n9723 24677\n45070 91601\n21307 40969\n61235 86757\n36700 60069\n35205 77099\n64919 74575\n27042 93516\n14734 65844\n4771 82732\n6801 11777\n30281 75682\n19898 62174\n26708 77329\n40303 97515\n3360 77232\n9296 95661\n45679 50067\n44845 67235\n20435 65986\n31557 88742\n10539 69844\n33227 54707\n47907 54940\n63338 64725\n13272 66138\n11108 35005\n53906 97286\n40623 57344\n15657 48518\n2238 69485\n9670 61261\n619 96866\n51116 91397\n86704 96417\n59951 64483\n9974 48819\n25211 91487\n57566 71668\n45288 61887\n52767 86697\n69338 78823\n57021 97086\n35361 68555\n13012 91516\n6202 43539\n58534 91504\n12628 42392\n59828 94810\n34490 81388\n62466 92806\n4789 22159\n83361 97123\n61744 97735\n54112 86520\n90272 95407\n38044 75066\n70912 92224\n31487 77854\n22922 73983\n16395 34096\n26579 91733\n34199 95235\n49627 70124\n68922 86862\n61507 94103\n49676 72871\n1031 79168\n7461 55261\n27454 98662\n22219 45657\n72399 77777\n10917 97606\n17451 83543\n16430 71432\n8207 41770\n25623 75102\n36556 77477\n74713 82924\n51656 68069\n26189 97876\n13337 70150\n25691 49292\n22807 84705\n32710 55200\n6158 53762\n16904 77825\n12199 19454\n14880 41100\n8972 28665\n7037 15362\n42651 94413\n22091 29586\n30214 95294\n36793 70103\n43020 62986\n67289 82532\n17685 60541\n59864 71252\n30256 52342\n43240 56719\n58064 70345\n7774 14549\n8868 70584\n38540 94331\n22848 34556\n42114 78258\n38481 95509\n81020 91028\n48383 53466\n24644 78221\n2554 65896\n44958 56124\n53101 94238\n14323 90969\n7846 37545\n6970 68145\n62681 81559\n6653 82307\n37055 44352\n2598 80044\n23861 78753\n4307 12186\n6947 74668\n64123 68393\n55612 60644\n6040 10786\n1724 30158\n20277 45457\n38204 47225\n27523 70186\n48763 87104\n61132 97324\n42744 92870\n10367 15743\n13861 43925\n50226 73866\n47267 72674\n44795 93448\n83671 85207\n12348 18207\n4472 82867\n39645 78208\n47307 71262\n49573 99675\n42469 85360\n10007 13696\n3581 36135\n30648 60874\n36488 36801\n39485 51084\n28490 89635\n27609 87936\n25568 84820\n23759 71464\n46224 91424\n42830 54641\n35581 71001\n19540 74167\n85109 99263\n33523 68375\n57248 97799\n15406 81721\n23528 58258\n9101 42257\n83719 88293\n4853 90717\n11783 30521\n10976 12422\n54352 56925\n42399 52410\n45249 68601\n16457 20436\n40124 67409\n32288 33431\n27245 71877\n23406 64696\n20432 26450\n25581 75089\n56099 64439\n39303 51958\n61473 72177\n22773 30391\n14749 95040\n27819 56754\n754 21693\n41233 54282\n4539 35793\n27170 62885\n41503 49455\n54983 74483\n18388 72118\n16932 58807\n15611 66779\n20701 76803\n49028 51298\n53903 70321\n11341 50918\n20917 22613\n32546 49289\n70752 73087\n9143 48947\n13151 81447\n21209 59403\n44627 82828\n61598 75278\n82064 83030\n3714 44595\n73276 75306\n41924 86541\n38079 40686\n23750 24631\n63705 86495\n61003 96102\n39993 87751\n47565 49594\n47497 86048\n4281 84866\n71725 92069\n73948 79696\n40539 50457\n12178 30100\n40957 63121\n19821 79573\n9920 21038\n2800 69934\n4050 77606\n46667 85316\n17941 43336\n60562 89629\n69328 92528\n64073 94362\n32756 42353\n1390 40763\n597 57798\n6932 57648\n45585 76647\n48311 69817\n48477 69394\n59565 74383\n49203 95834\n16271 78493\n49600 79872\n61745 75362\n63691 71359\n13715 90496\n22019 46277\n13453 49405\n6994 89096\n14060 27073\n23861 49609\n23914 50956\n16760 83594\n32089 94598\n43288 88303\n44973 72289\n89497 93917\n3033 5250\n57395 95105\n22293 64708\n82533 88209\n39161 46130\n31480 49639\n21757 54113\n25799 90835\n74713 84639\n55845 94860\n12823 89264\n1763 50418\n68537 75683\n21157 99587\n13404 58610\n38471 79091\n10383 19070\n18934 56302\n37726 65177\n27523 49592\n41646 81031\n51501 82276\n10493 16501\n19782 76249\n56001 79311\n6304 52402\n24715 91661\n71982 96731\n18643 68683\n12304 63869\n64299 81352\n22434 72326\n57926 65918\n80047 86336\n5132 44192\n57989 90818\n35314 55699\n1803 45897\n9286 43101\n47815 93757\n51481 98075\n27679 63618\n56462 65932\n29417 72032\n28394 53550\n8507 77629\n18812 98691\n6128 62029\n14262 72447\n29664 54325\n25388 94207\n21966 45482\n39520 55820\n13604 58137\n42269 62104\n59941 91641\n65619 99297\n6680 60590\n22797 94136\n37232 93922\n42792 92258\n27551 57282\n44105 58763\n54685 80617\n49799 73059\n61481 65591\n51308 55276\n55297 89123\n2594 48561\n11026 13946\n15341 85881\n42643 93460\n6599 84815\n45282 56197\n65914 89058\n44104 69154\n7138 22606\n35869 73114\n68612 78454\n32276 50800\n19287 79610\n28965 87513\n57630 65454\n31883 62211\n3279 77507\n61162 92867\n42946 49264\n53907 58174\n83393 91841\n23786 74346\n59228 92374\n63756 71952\n37306 88579\n66648 76462\n36316 81977\n3950 89970\n47984 55838\n29363 74635\n21009 39832\n24469 70079\n41235 88549\n74420 79317\n71991 86624\n51594 69292\n36319 43188\n6304 24064\n24487 31548\n7638 66907\n20906 35060\n12047 49410\n7156 38919\n46835 76200\n40878 56632\n30627 56915\n17933 33520\n26089 38276\n8591 40217\n37309 81921\n1078 7129\n71141 94340\n28075 58425\n45144 92519\n82294 93229\n27601 88914\n16171 65756\n24619 99068\n5871 6627\n47515 72351\n14796 66075\n17211 60362\n13002 57318\n31234 39963\n9968 78807\n1617 39612\n9021 10663\n27110 75693\n51961 77580\n43982 98542\n77796 83955\n4332 21267\n83092 89829\n25529 85564\n72994 75030\n4316 48090\n44222 92538\n63926 98729\n53678 90730\n56258 94425\n19305 46712\n24742 97097\n34022 71720\n12315 18125\n28313 96091\n40760 62862\n10304 21013\n55953 85901\n8183 98828\n61953 66109\n72987 78909\n48004 49898\n44284 58107\n26783 84920\n6891 85397\n23648 42266\n18521 20514\n20212 71659\n25742 58200\n47053 63592\n483 44417\n353 14747\n25540 41620\n14745 30114\n12824 18321\n7820 86772\n23991 91882\n20109 54548\n79375 84281\n34227 77391\n73704 75302\n31143 83119\n33351 57475\n8800 55681\n6578 47106\n1681 70395\n13987 51375\n32025 69681\n70417 82096\n59322 63482\n906 48755\n54028 54635\n15157 73954\n33799 68179\n27680 70201\n639 7374\n15638 89894\n21030 90807\n39132 63199\n27220 61235\n50620 69300\n47162 99122\n46751 83614\n72118 86246\n59656 66916\n93244 93595\n41313 94479\n29081 88691\n83572 90539\n28339 40901\n11069 53182\n44101 62702\n695 49312\n14760 73110\n64885 87146\n36248 45899\n66642 96043\n9524 36494\n74855 92012\n33810 67355\n27117 60913\n49109 64915\n10270 77036\n7245 85889\n4496 9799\n9055 49821\n2562 94112\n49408 76355\n33108 51915\n26780 28641\n7179 31248\n39731 50064\n63399 87034\n3213 19244\n6784 21993\n8626 93243\n62065 62994\n3240 21513\n46426 62337\n13367 13845\n15542 71322\n9767 94614\n53350 71341\n6600 50695\n10574 16175\n37689 80740\n44549 96469\n3090 86360\n12041 93688\n26703 37373\n19319 60077\n33603 56239\n34653 79571\n32155 44741\n5394 34787\n32344 38397\n53547 78417\n2571 52441\n38202 43964\n51020 92146\n17940 84812\n33755 34268\n21142 58526\n13286 59373\n8406 93670\n49908 86284\n20970 54772\n73350 78391\n2821 85132\n50544 86094\n5682 19906\n30554 48354\n5165 59329\n26632 39350\n61040 71424\n36667 85096\n17689 78818\n54141 75275\n56910 93729\n19894 54835\n6011 21547\n35127 49744\n17820 80017\n11910 87290\n52544 70320\n74733 95102\n35400 53165\n55151 92215\n65310 95595\n38237 99394\n49671 52123\n42626 73032\n12457 71351\n19839 27353\n36688 46001\n27330 85986\n9762 10577\n51976 90682\n7402 77638\n68389 75981\n18105 36703\n25908 75949\n29618 52323\n6789 96839\n74118 89011\n31667 54522\n14637 92046\n6423 69864\n51951 83340\n60604 67084\n19159 52358\n32623 85529\n33582 70783\n9265 20590\n50506 66971\n47465 81443\n44364 67691\n17422 40347\n14816 49002\n11025 20266\n12823 93096\n49381 72683\n11651 66462\n26594 37318\n28383 59204\n8312 47203\n77791 79112\n2990 88825\n64099 89656\n58965 82587\n37929 96296\n18377 28235\n26489 60524\n37218 61377\n7529 73432\n65809 85027\n10618 33979\n55185 63212\n35619 80324\n471 93057\n37979 45759\n63525 66040\n72065 95459\n11776 36202\n1889 3876\n38148 54022\n15104 59240\n15195 37599\n13045 42915\n5719 15656\n3273 26311\n8552 41848\n61641 89129\n49622 52630\n50147 86790\n24363 73224\n35428 40585\n9936 40945\n72525 87712\n27840 35887\n4040 41299\n31482 39116\n69106 80261\n20107 70177\n4726 78409\n41848 58491\n70848 91705\n29895 87197\n12398 41331\n2069 84475\n28900 59324\n44848 80180\n13355 37137\n19604 92895\n52647 92453\n6617 73165\n17714 47772\n45526 59720\n32720 62436\n34454 62153\n48560 94910\n68131 92652\n21844 30138\n88278 91041\n18949 24786\n18568 47088\n48075 96750\n17541 43212\n11865 89015\n12165 20516\n31122 49590\n55736 85580\n15381 74887\n50813 97841\n69758 93958\n31747 71409\n47567 54348\n249 67623\n66490 67598\n55750 71083\n27216 75187\n30053 90419\n35337 74059\n1749 89124\n59512 60655\n12876 41111\n13185 31466\n87505 97164\n51652 88156\n44776 95546\n12110 78971\n28514 62196\n16855 66114\n23933 34736\n23090 66190\n36119 62593\n6178 94093\n27270 91102\n33574 58637\n15906 68567\n79335 85719\n28993 67018\n20512 97236\n15726 21069\n21698 48013\n59074 80290\n63414 80412\n55660 58022\n15753 20677\n15252 77520\n18836 52563\n48204 98550\n8192 65668\n27738 55175\n40580 48812\n54870 99615\n61430 70742\n12350 60847\n28120 85641\n30759 34378\n25558 78810\n71201 87473\n35628 98940\n30183 51996\n18458 91756\n56 91525\n59982 82893\n40214 71412\n75296 99713\n41881 74867\n66273 70937\n19903 78571\n30755 35987\n47800 67640\n20083 89059\n27477 87862\n4317 85851\n29465 94938\n22122 71644\n56270 91640\n38729 74134\n3726 8668\n20218 62724\n1343 19087\n9724 24809\n1823 71064\n17321 75457\n89231 89813\n271 29686\n35778 49790\n8098 51851\n3523 32626\n77771 93489\n44555 89118\n39118 81635\n8415 24069\n5534 46874\n15300 20302\n3956 81069\n6609 93016\n62347 94425\n34300 90098\n10178 79668\n12863 76490\n33658 42196\n7751 66976\n21915 45158\n24839 68657\n37551 65492\n35297 41951\n9685 94168\n13258 99418\n28324 28661\n78789 80563\n12453 92780\n90719 99447\n63915 75268\n87637 97147\n58721 83847\n48598 99577\n34906 53282\n94700 98074\n19193 26487\n10645 79586\n23211 96055\n2969 52866\n28469 93967\n16 62837\n32163 56561\n23153 89140\n71307 98713\n16075 54255\n44629 48535\n36768 88297\n35542 62805\n1701 59418\n12190 17899\n3507 51645\n82111 82147\n18071 75992\n5450 29630\n34149 35927\n66603 88946\n22243 54067\n47109 95839\n46218 89707\n6020 94296\n12881 68374\n48227 67976\n54876 61813\n515 30519\n89661 93517\n19815 26576\n5368 52980\n16394 78487\n76623 78060\n16241 20313\n19824 64100\n1763 22653\n57063 75698\n46321 70911\n11994 74673\n40039 94795\n74309 76277\n184 82090\n15344 15666\n20771 42061\n22536 48167\n11961 34013\n67578 93959\n24089 71881\n92274 95333\n13821 85779\n45138 58548\n45607 46577\n24502 95147\n49932 57023\n60361 87751\n58289 80945\n9625 19408\n64304 84912\n24100 87671\n69855 71240\n1618 22807\n48097 84168\n70190 74187\n66263 94198\n17406 20199\n7898 81138\n6236 64603\n1658 69956\n43550 67766\n44292 93491\n18775 30071\n42848 43607\n52091 79634\n19507 61164\n29293 30617\n37926 66350\n4100 63001\n67516 92578\n24158 45237\n20059 83777\n44790 92960\n13955 16068\n27660 69059\n195 42204\n4840 92133\n53620 62782\n59955 79549\n64673 81755\n4777 11543\n8612 92899\n77562 87297\n10848 42061\n10892 14096\n79020 96395\n30968 38580\n7940 51648\n6046 58588\n56223 91982\n52590 81940\n15135 67684\n20586 85179\n30697 91702\n13278 88705\n8999 24952\n38094 94835\n39038 98828\n29417 71080\n25618 71783\n51641 84648\n29245 86471\n39433 62686\n38345 42226\n24565 39488\n33210 85119\n35448 88612\n63138 88503\n46526 68503\n26540 36174\n53832 81227\n70583 86341\n25444 39145\n76260 76721\n59687 90208\n73507 86950\n4461 56024\n1304 8698\n51498 77053\n35019 69399\n11120 30629\n9482 87101\n29547 67641\n51514 97986\n19731 64006\n4829 47609\n84411 96967\n21946 42832\n22669 60660\n33167 46238\n7282 72555\n9823 14537\n48942 84194\n19862 43665\n55340 91305\n7069 59052\n22293 33578\n1552 49704\n57337 97057\n84956 85356\n12641 84520\n11280 47239\n55522 89861\n14052 26501\n65107 96874\n28135 67054\n27235 77230\n31025 82001\n64182 80901\n67171 90268\n13870 74914\n50912 83904\n32334 60632\n1273 46351\n24868 62010\n37066 53080\n74006 88261\n49775 84093\n58882 85070\n72812 81659\n38493 52223\n57078 69453\n57129 60018\n21424 84158\n38210 59363\n41024 57552\n49348 80752\n48382 50721\n47519 79097\n34055 63026\n65322 66551\n50747 98968\n33956 65095\n20435 42306\n26497 40005\n16147 88228\n3102 74915\n51659 84433\n46195 89175\n26788 33916\n3078 24222\n3875 10596\n42978 59843\n23931 32548\n5406 7706\n57411 78663\n36326 64441\n54902 89685\n52722 84141\n74482 83570\n19776 91878\n5477 14612\n36441 50225\n34895 59818\n3772 48001\n8384 57652\n72495 83638\n18871 75347\n15710 26497\n54186 72260\n3416 9664\n30782 45716\n36411 46817\n45924 68020\n11610 34796\n55231 84394\n70258 90943\n3845 55184\n35934 83542\n12896 96804\n39308 73791\n9439 63238\n11121 33065\n50366 95969\n28786 56526\n16521 64442\n15247 33256\n94451 98825\n28719 34931\n55600 71880\n21687 60382\n12404 31554\n15864 96701\n19755 46220\n4252 7619\n12789 36426\n50293 71298\n20258 32076\n55361 79547\n17281 94717\n75696 94189\n8231 25449\n8728 64692\n39466 39932\n8538 74831\n29264 98962\n20161 97715\n18761 68866\n48527 89620\n51274 71832\n9299 61260\n29079 57199\n42577 56500\n2058 84288\n5836 29111\n49529 90659\n19750 23996\n26922 95555\n20359 83811\n10749 50866\n1600 71133\n57942 70640\n16156 93244\n6505 80546\n61458 83603\n76685 96963\n86572 87227\n96340 96804\n1585 45288\n75491 94150\n52730 81224\n32860 57109\n38708 85927\n4595 67213\n19044 29327\n10289 15534\n77326 89817\n50792 55465\n45841 74275\n430 45512\n37060 39383\n41833 99898\n15551 89513\n76848 82099\n73220 90137\n34948 47304\n56040 75879\n24221 66429\n29254 45703\n48883 83989\n32771 95674\n42984 98884\n5327 96122\n61844 64661\n38360 48884\n39797 91368\n16813 45140\n44963 93312\n52652 67054\n41896 84576\n32577 66273\n4570 56808\n3384 87393\n27082 32399\n27661 55088\n35198 89886\n7309 59149\n46786 76862\n55333 76610\n61990 73158\n75926 91742\n33381 59695\n25859 91659\n27578 86499\n17347 94432\n17265 35983\n45194 69128\n76795 86022\n58904 63777\n10776 93248\n18312 19416\n33239 92913\n17123 70365\n4579 14062\n1941 42592\n30074 77373\n82404 85546\n55007 64259\n48457 70177\n69625 93902\n42300 92190\n3856 60599\n51354 78595\n13704 92558\n10709 46660\n23640 26742\n17271 57469\n56974 81595\n19353 51051\n22632 71835\n8029 25012\n39755 49702\n20047 36980\n21400 43587\n90734 97951\n81135 88778\n13168 17538\n10268 12194\n23402 59004\n56940 80004\n5109 88618\n16368 65782\n54916 67756\n18556 36983\n46754 98892\n44293 81756\n12042 37606\n29628 85264\n54488 95428\n11665 52793\n61143 93541\n37492 44559\n45268 70337\n21846 75871\n68203 84280\n32279 53852\n3712 56494\n46396 75513\n76371 87043\n11431 93781\n6959 84560\n32462 45648\n35875 91634\n43460 67782\n19744 89291\n72214 89822\n48281 54101\n51757 53852\n55748 97880\n39776 81248\n13908 65314\n32494 46072\n11913 70900\n44031 82003\n14313 66513\n53462 63721\n2579 90843\n28957 90967\n17830 56736\n42748 94033\n57715 79369\n4687 93736\n12744 92052\n8026 95244\n30327 78554\n50773 61826\n2429 30732\n18905 36068\n11053 59543\n16130 51410\n7582 94308\n88278 95836\n4227 40340\n14554 56660\n65918 87015\n10171 38342\n43240 66159\n1914 98768\n66390 67402\n50782 80434\n32515 55608\n75352 84329\n54996 61065\n20570 58134\n476 87971\n15255 37699\n16525 25042\n2214 47168\n61642 84786\n9404 71575\n59803 71264\n6466 94066\n31711 72124\n4372 58057\n52593 87429\n49479 76439\n3309 50852\n67607 93135\n10303 49236\n57759 90397\n28941 90226\n14726 25741\n26003 81933\n5066 25712\n32 20897\n80295 95075\n63224 73565\n8081 97399\n31773 63064\n56745 79252\n49948 53125\n8980 51652\n20158 20705\n31456 91807\n8885 35138\n11358 88356\n21893 78005\n27586 99362\n189 7065\n3324 58113\n28874 67332\n5184 90653\n68014 81708\n18169 89567\n11186 41509\n63283 80711\n26581 90646\n51606 97564\n35638 94503\n60537 96120\n59808 75064\n38740 77256\n3811 21854\n57712 66088\n41455 76309\n7694 32299\n364 9667\n13129 85913\n2968 52750\n5180 76761\n25873 45128\n40368 98654\n21163 75288\n70324 71226\n7780 32532\n19139 82130\n51030 65468\n15947 38530\n64066 89491\n9839 90337\n11151 63674\n54786 91950\n82362 95489\n49028 65373\n13856 23838\n61394 70232\n12437 16558\n33551 61093\n8603 32403\n44825 90850\n80816 89468\n22369 43176\n46382 79460\n39237 40992\n23735 77133\n43527 49946\n38385 51320\n10885 30463\n6120 40548\n59691 71015\n4434 73216\n13079 85441\n24796 57141\n33415 35391\n48523 75210\n36619 65738\n15219 47457\n43741 93333\n21855 51559\n57017 63891\n25376 59639\n63532 84484\n2310 92858\n5867 49601\n80559 98527\n13164 95208\n14134 62961\n27294 69169\n3773 37293\n87684 88484\n2954 49544\n53601 98874\n20882 84412\n30826 66302\n7174 12166\n67160 99174\n63874 65357\n27591 89356\n32962 71700\n4502 93399\n60781 85456\n19769 34041\n78216 78501\n10352 53234\n3657 53713\n39366 65407\n51002 84508\n55271 78264\n29561 68385\n30597 67708\n16628 49584\n71690 72008\n11892 57759\n67265 88392\n42052 86028\n26879 58618\n39327 71486\n73626 85253\n50139 51515\n9196 37190\n42001 66499\n77529 92684\n200 27580\n20117 92358\n29721 68174\n2706 48704\n41976 87926\n43416 87688\n13269 70034\n41489 77704\n19137 61276\n21165 25281\n12623 68431\n31542 37957\n42452 42469\n38495 93779\n37166 49498\n12166 39959\n31170 99426\n21343 65775\n23946 94748\n26235 98110\n44013 70483\n8729 28418\n67330 87715\n47303 92042\n22551 45473\n24616 91198\n34357 71531\n12004 21815\n16690 93813\n17375 74858\n43143 87586\n4548 97952\n41984 44271\n21521 60905\n42933 76793\n59851 70634\n33269 87885\n26542 32033\n27310 66949\n64942 66138\n67789 99941\n45024 88688\n25747 36047\n15816 99069\n48082 97703\n30665 91822\n73568 89986\n36399 88364\n19903 82577\n50560 86208\n64993 95091\n52859 82272\n56662 61172\n27875 90125\n51468 81598\n55172 86091\n29323 35275\n24350 53660\n64079 85160\n47501 81476\n25847 59016\n35661 51207\n34904 69203\n12565 93388\n41337 45403\n4619 47312\n18213 57303\n14695 67258\n12030 79990\n33148 92261\n3441 61396\n7829 22762\n54377 76217\n18120 32194\n26514 93308\n22844 33719\n13541 45366\n47568 74125\n38254 92802\n1949 12203\n29389 79959\n31510 92577\n13551 94135\n14239 99289\n6363 63117\n5629 11350\n21012 31064\n11602 70274\n23070 57847\n2137 97348\n83217 93108\n2247 37517\n5540 33846\n6654 7472\n48466 58673\n18002 53296\n13289 17454\n579 13329\n45462 76859\n7090 38025\n62471 70742\n16203 34286\n78258 78313\n73452 96959\n39565 95408\n2643 97456\n28400 91568\n15636 32976\n39291 53657\n2990 31759\n50723 75738\n42437 91740\n61010 63610\n87577 94529\n21083 77967\n69470 84996\n6040 94229\n23345 34498\n54684 57566\n25744 58257\n11512 39470\n10671 54205\n5815 11105\n24713 70411\n16009 24698\n11793 19096\n9447 27372\n20838 55839\n58835 75167\n83668 86391\n23163 62641\n22898 95754\n8385 73226\n19935 78993\n38667 51084\n24048 51767\n20807 23967\n36113 78507\n1299 78008\n95769 95859\n8610 70351\n19202 49860\n34695 69925\n10118 43976\n28279 96181\n47334 55563\n31196 34654\n838 30142\n73702 77414\n3470 75098\n2736 31113\n51568 76797\n73036 73114\n65863 76009\n52266 91387\n47402 56979\n49098 74842\n16546 53427\n57200 78279\n55591 76391\n54586 66684\n40839 46694\n46923 64706\n37619 45840\n51939 62435\n49581 64167\n8540 44658\n87052 88409\n32106 84331\n16129 96409\n34265 50166\n6613 29260\n1127 85955\n55878 99701\n10956 80322\n55854 96040\n6231 39191\n6539 11504\n26946 45244\n68442 70792\n45638 52979\n72726 84393\n19434 78487\n38039 98616\n2224 64443\n26572 31883\n3222 65839\n73770 78644\n13208 99226\n2755 65719\n24305 63714\n187 12946\n41166 99810\n22334 78270\n8182 79483\n56069 56114\n3244 85661\n23941 41220\n54727 89556\n19908 36290\n32542 59091\n19272 79155\n34998 98129\n51321 93466\n6984 97308\n14004 72310\n40180 67303\n2489 83491\n37649 74693\n9211 55904\n60185 81409\n58218 62043\n39654 44507\n64558 81121\n71319 84052\n56079 80140\n29962 74421\n9663 59870\n26668 82980\n4382 92435\n44865 66783\n29744 51048\n23138 50326\n29583 70700\n43248 46854\n36597 84396\n87542 88270\n63971 75698\n43219 79213\n7433 88909\n2434 47697\n31079 49885\n27906 28340\n14482 76013\n4421 6041\n65575 79972\n21237 52584\n10473 84646\n26999 40489\n35307 81652\n62543 73354\n12472 86020\n4581 68950\n25155 46120\n44929 99867\n32283 93770\n73158 91174\n68821 75239\n1441 54955\n22075 60371\n45737 55943\n65888 91620\n74995 98364\n65019 66242\n1922 92861\n33338 91598\n20147 80984\n23216 93317\n25071 40341\n62134 81730\n58909 95447\n29891 80008\n63242 70963\n2124 50778\n63684 99948\n21961 70122\n25837 53652\n3622 3807\n3466 53335\n46045 71689\n4354 47200\n46626 95937\n7354 30233\n12371 93085\n2444 72763\n16517 64157\n15730 63710\n55879 61009\n23469 88363\n75598 95581\n4104 41568\n5066 63703\n39569 87198\n45251 76864\n11907 17577\n7219 85907\n90240 90604\n65523 92731\n50512 70992\n33586 74603\n50648 92791\n8685 25771\n17218 90091\n997 98434\n3528 63493\n365 10810\n48534 95397\n12053 62878\n33768 47663\n71669 84699\n14523 26514\n14338 50412\n41311 90966\n11176 48871\n56064 70918\n11207 34625\n69527 81551\n38931 76813\n37498 97573\n54424 57332\n18662 96733\n8030 11833\n29941 79065\n41984 81209\n12268 35856\n37288 73601\n48038 58061\n12083 86779\n9110 9172\n31419 92302\n28461 88770\n31839 60096\n52510 81036\n74963 90782\n41524 46084\n47918 88090\n26210 61592\n25392 53451\n17549 72064\n44708 90204\n63059 93752\n31309 75687\n32617 64702\n69892 76274\n31652 35355\n14800 82906\n24801 35919\n2718 39304\n31986 37068\n55162 93256\n2283 18810\n13058 97303\n13238 22402\n5199 18893\n14448 86643\n777 71258\n68763 73658\n71892 83456\n556 54822\n2392 78853\n7580 26423\n1071 72644\n77682 81021\n11219 37060\n23778 79966\n93111 97704\n88709 89799\n28441 88310\n5720 41674\n7885 57103\n8541 13420\n26912 48652\n25908 37795\n14862 96035\n5780 24754\n14071 51667\n15762 67932\n4657 62294\n84321 93736\n21769 62129\n24256 62665\n24507 43663\n70911 74438\n31872 37045\n24110 80452\n1409 14295\n43797 81276\n37220 99460\n50240 93096\n75880 98385\n1093 99244\n72638 82696\n26946 80870\n39758 80618\n11926 62551\n19646 76354\n44701 90039\n3667 73667\n8911 96088\n9774 59624\n28365 92770\n15727 55738\n634 37195\n486 45263\n14862 83665\n61102 62209\n26751 57541\n76507 94007\n1537 12527\n46138 50691\n28445 66017\n63507 88086\n86027 92381\n61577 92428\n65079 91572\n25884 30872\n74061 92134\n53254 61904\n73610 92450\n27271 98856\n1639 53987\n23100 32184\n5882 50842\n11496 89539\n1121 24242\n7948 94058\n23678 92766\n82103 92874\n804 53704\n4669 82484\n79315 99871\n92274 94175\n28510 46284\n32167 40365\n651 68666\n8851 63454\n87656 90414\n6766 59531\n3544 3958\n2965 50814\n67699 91071\n12042 77183\n21496 23945\n52103 53970\n83458 89956\n40058 98660\n34746 48316\n73455 78376\n35137 35948\n8458 73616\n56012 83295\n4526 96763\n30216 96514\n37967 52151\n30959 65918\n29139 94198\n36712 89613\n5682 18246\n58426 91901\n17558 41864\n33327 90657\n4943 64077\n77246 92629\n25101 44167\n47798 94650\n40699 72033\n56448 65029\n56710 61494\n25988 73938\n37683 98773\n27746 60234\n30412 84622\n36037 83619\n12516 71636\n53116 82299\n21315 75358\n4034 93530\n9693 43828\n18878 50436\n28819 73059\n16750 53531\n8551 66152\n28723 69226\n16988 94852\n46691 66013\n32724 86542\n80626 94347\n54335 77035\n23668 96853\n64420 91669\n21904 24705\n71266 89685\n24117 25407\n33762 53348\n22667 53171\n6142 27747\n67485 82494\n6798 11873\n655 65108\n28340 43895\n15043 82126\n9444 86921\n14152 73949\n11674 83523\n32786 62310\n4480 80684\n78699 82372\n21536 94425\n52397 75290\n16147 22682\n18443 31685\n37132 87634\n391 35471\n48222 80277\n30861 50958\n12604 30293\n3046 22851\n17094 22198\n14010 59493\n3563 14390\n21657 26507\n95845 99566\n67274 96918\n65383 76845\n69977 71870\n42980 77102\n18854 22441\n5185 5989\n10127 30359\n65461 67406\n43788 73362\n7151 81989\n14537 30548\n45159 65390\n85394 94531\n12749 70016\n26935 33178\n53020 59362\n42286 48504\n83280 97037\n12985 30053\n62857 95673\n31241 99402\n47734 68829\n58779 94297\n26755 65448\n27593 46904\n77720 96830\n50037 75478\n12253 32190\n44239 93407\n1928 96350\n32128 62210\n18369 96098\n20232 98431\n52232 72421\n13687 99658\n20546 92706\n2862 29006\n10777 91151\n40840 94168\n28034 61090\n40445 88572\n1237 46411\n50228 96686\n12735 69632\n33671 48504\n12560 35707\n30201 88383\n70571 92368\n81028 89101\n24761 75079\n14673 89119\n56691 64153\n312 10836\n65952 85294\n21827 28838\n77184 86681\n10493 22375\n8187 16012\n15935 26886\n54983 82424\n2463 80710\n55769 62254\n48790 51842\n7234 18706\n53353 62005\n30046 88232\n6629 41273\n84352 96131\n62817 70915\n20927 84174\n65240 80863\n6308 29411\n1709 57028\n30222 43778\n29070 32867\n88588 89109\n10066 94751\n46717 92033\n10285 45273\n13084 66384\n89267 92526\n39011 46410\n57352 91263\n35400 89080\n29813 63805\n39989 65279\n35783 39610\n21281 65884\n40801 78939\n17770 95037\n69253 90968\n71800 96301\n61577 95992\n12956 87651\n27828 85873\n42530 97619\n46662 52004\n3815 45802\n51705 81297\n68779 71976\n59796 78297\n6441 95142\n32464 59062\n3888 6734\n28016 64979\n54852 82192\n72888 90401\n23290 73925\n7345 63714\n31139 78069\n55072 90069\n30743 34318\n14602 17238\n10154 59497\n55699 98209\n66708 71202\n14661 32310\n288 75513\n38680 51949\n86744 96360\n52897 65905\n44677 66845\n60176 94229\n41043 83497\n39476 75411\n33890 85943\n16733 55813\n47818 97132\n20949 47844\n19249 21768\n55602 99873\n39594 50535\n77732 89524\n72970 96552\n24053 71429\n16666 78713\n79265 80988\n62677 74410\n51082 73714\n57733 58149\n57260 68448\n25347 58442\n9415 54162\n22188 29747\n28802 31831\n7627 16633\n52023 57329\n66883 88502\n5789 74813\n9820 46395\n5647 87631\n3253 44768\n50895 52239\n23974 93357\n7169 34851\n43434 45809\n6495 81514\n33153 87503\n49783 79964\n29682 91578\n26166 57551\n57044 93039\n12041 89426\n65406 89575\n8009 95084\n24331 96431\n5518 23945\n29772 30224\n7792 80936\n57694 76603\n9555 76810\n42823 83368\n49960 65070\n27297 90361\n71601 86484\n49282 67639\n8682 72472\n83172 91701\n56451 64442\n11445 57891\n24532 71096\n24890 43397\n23933 99153\n2263 10817\n3440 76728\n54921 63407\n51747 60370\n21732 61910\n27934 58250\n47213 94860\n55678 62762\n20433 42902\n10133 51710\n1257 47267\n8907 20077\n50139 65939\n19799 85773\n28667 65452\n80657 97165\n1661 65650\n43456 90605\n592 95364\n29387 34057\n23019 67390\n39829 65996\n16448 65841\n52606 61709\n60613 83165\n17613 58942\n9641 24667\n37949 64606\n32659 46667\n19353 70809\n10809 61738\n53960 60680\n5072 49555\n17881 36086\n41089 63932\n39435 83923\n19191 78215\n3451 69230\n5527 55305\n38954 54337\n10480 19199\n21583 84243\n51503 97922\n2773 7100\n24743 30116\n13974 24374\n30896 44187\n56143 89913\n7556 61113\n39711 67109\n43176 71717\n89172 93919\n20045 58976\n21036 76162\n48032 91159\n56177 73907\n59358 61210\n50010 70695\n52510 99419\n10232 72871\n40799 59349\n18956 32111\n16964 28231\n72168 87356\n25231 94491\n2326 22567\n34564 46087\n80240 80582\n46146 70246\n9490 63302\n49885 57948\n34675 53637\n2459 99595\n20127 53186\n489 47411\n14728 55715\n68003 72065\n63421 93766\n22821 51872\n38827 71882\n34197 42134\n54210 66222\n4231 76709\n7234 29994\n31830 56136\n790 12568\n39712 76343\n28760 75865\n4393 34486\n51533 94084\n24960 31205\n6961 28890\n10101 20861\n45212 81901\n11516 64028\n2441 20337\n9289 67218\n4411 85150\n9155 11909\n8005 46178\n29009 84715\n42588 44024\n43922 44600\n69517 97343\n70739 80202\n5632 10753\n950 2057\n8774 64079\n80530 95124\n59993 76044\n40394 56775\n2408 27749\n6640 81488\n9293 61396\n24332 60953\n25003 78098\n22576 86481\n47178 68318\n3856 38566\n34509 57241\n6764 70719\n14716 42509\n3693 65350\n2554 11272\n40709 64403\n59138 77345\n36408 61790\n33258 75423\n10817 66857\n689 13241\n49857 89346\n3473 15251\n20989 75197\n3253 52929\n63157 74145\n49370 55445\n32206 48166\n44002 45279\n23627 59404\n28517 63442\n21732 78966\n45414 60643\n27483 50217\n41992 60096\n61261 63792\n43531 74045\n11195 20684\n18648 49432\n16900 26717\n40062 56415\n14669 25178\n4695 82356\n54438 80613\n75513 76644\n25781 74679\n333 65796\n40105 94717\n8105 21791\n42258 72933\n65149 79318\n32292 35505\n62171 63501\n49260 88866\n26845 56040\n13770 20643\n24646 86978\n77086 94532\n63002 93152\n27484 40848\n28480 95050\n62716 88938\n42212 49118\n69845 86731\n36640 66225\n16253 31764\n13433 29970\n45388 53550\n6749 78573\n2065 44406\n31471 78444\n32512 45288\n8236 9992\n89546 92307\n23905 37954\n42640 44809\n22962 39971\n12935 75865\n71165 79914\n16153 67653\n20575 48924\n18149 20615\n5255 58474\n89923 93608\n46408 69799\n20643 43953\n42928 88034\n18415 63141\n47561 57148\n50088 70145\n81117 92115\n33582 54333\n13703 38312\n25143 77112\n30705 77142\n80089 86898\n41853 69338\n39499 83669\n11805 99830\n81484 82530\n55278 98291\n65033 99729\n71307 81104\n2656 20641\n2394 43704\n58657 80973\n4091 90593\n9073 42970\n11474 59974\n11511 20536\n40522 97940\n85106 87736\n3842 13763\n93700 99295\n54287 65181\n2544 44143\n26573 78190\n6097 52445\n21525 93897\n31863 74194\n4204 91692\n4447 20020\n11333 77362\n34050 45467\n28043 90737\n69548 99892\n453 64733\n11588 26755\n18949 20389\n30588 53669\n67920 73705\n15234 94495\n10519 59795\n20188 93831\n61322 79847\n34978 55550\n40992 49393\n39781 40589\n23093 55207\n17231 96482\n11636 95061\n12138 17183\n50724 66678\n4288 9558\n65359 77954\n40327 62617\n22305 64657\n16689 46930\n34812 72608\n48644 65528\n77708 87671\n6185 26383\n73588 94551\n3134 62734\n33177 40959\n49847 63360\n30973 93756\n15423 38746\n49434 90191\n28158 73423\n46752 84143\n1099 91458\n32426 92813\n13329 45737\n38168 88335\n25707 97080\n48921 56963\n53952 69849\n24235 48970\n67327 91638\n64325 75887\n43624 81930\n3383 54155\n11831 30591\n57370 65383\n10738 29680\n7465 15488\n2582 23956\n1773 37938\n11284 28203\n36565 97880\n80119 81893\n49865 50984\n1385 51748\n63804 98191\n7374 88542\n37088 56679\n8064 52652\n20673 63639\n4370 28604\n66946 94601\n27447 84062\n26841 55489\n12562 32505\n36565 41803\n59918 93563\n68556 96948\n7378 26530\n24050 30721\n27982 37429\n45211 79620\n75831 76475\n25016 83813\n55788 82700\n6063 31259\n3977 43574\n42797 65678\n4049 65941\n7991 82541\n48288 83901\n25005 25988\n43650 94552\n40812 71216\n54403 86526\n11338 86589\n22249 53807\n15870 51454\n72613 77175\n25267 64810\n6947 93201\n9922 22473\n30287 36504\n47910 84161\n19572 43233\n56099 74187\n29525 57050\n55843 98120\n64570 86680\n11710 87403\n5068 87089\n2872 49975\n69742 86545\n33733 63582\n44481 96594\n76244 91366\n35868 55904\n9661 54690\n2527 54081\n33870 85663\n47986 97677\n3489 23651\n8510 61416\n22477 27360\n35773 99704\n62864 63273\n84828 89053\n34734 46062\n31753 93777\n10065 82292\n31559 73019\n61958 76805\n40333 82745\n18967 95432\n23860 39338\n36455 61683\n44262 83747\n93530 97819\n32231 71598\n20968 99245\n19600 77105\n14395 28110\n5844 39416\n6726 99418\n8614 95688\n25882 92282\n24329 47553\n8761 64750\n22772 44881\n28193 29224\n62465 87303\n27488 99866\n82031 82070\n36819 93568\n29304 78507\n30626 58939\n5356 24148\n96 35492\n24846 42085\n3463 97803\n28471 37752\n24177 58056\n7687 26723\n15026 94207\n61103 90716\n34141 99591\n39274 76703\n23047 49347\n15698 64883\n61392 83378\n7612 87453\n3587 26558\n63527 72666\n56670 83900\n15577 45100\n6281 95278\n69958 93931\n67458 68425\n6603 80525\n29649 60202\n12548 29454\n28978 32463\n33209 58381\n36620 89112\n9677 15066\n45223 91389\n22351 82010\n51740 89805\n2029 24315\n68173 98599\n56418 91912\n16729 93340\n42555 97419\n4338 24900\n58841 85689\n23983 56831\n82834 92920\n15366 41060\n11387 73562\n48004 66577\n42113 79844\n1129 86870\n21295 24690\n20588 74156\n49902 86440\n8510 33275\n75051 84525\n10149 46499\n87580 89175\n43508 65377\n14976 65802\n12666 34372\n11494 56884\n52219 86981\n26885 95893\n38389 75944\n5314 88021\n70412 99118\n25805 50256\n19114 51187\n66 84415\n38217 62469\n53776 70498\n14271 74273\n21732 30923\n60944 88512\n76370 79114\n36745 81568\n2421 26496\n44248 98452\n27406 72648\n45245 60798\n13472 54317\n2495 29060\n34469 62419\n34530 75592\n29142 70704\n26474 33520\n2120 92589\n3681 48066\n28763 69772\n21592 71621\n67019 85476\n41155 76366\n12246 80234\n82109 89508\n38915 57399\n34474 86216\n11900 43719\n15416 32710\n23641 49359\n83278 89299\n36946 46053\n11744 70770\n23486 38884\n3414 58016\n27261 85761\n49298 63093\n57693 92532\n51427 54338\n18725 58946\n11071 82373\n17624 65479\n52504 86901\n5004 25526\n40540 58814\n3135 94003\n34158 51066\n4902 83652\n5716 45845\n55987 69476\n20532 70748\n15496 67601\n36873 98115\n68349 90013\n1199 31567\n36688 77018\n24905 82095\n20513 53791\n58992 71948\n7326 80324\n20495 28759\n48964 91181\n25524 65395\n33049 38463\n59867 80644\n20778 80385\n17073 61414\n69625 88338\n5816 7179\n62815 78202\n52858 66110\n15703 89256\n29160 79078\n4971 25366\n49358 55915\n7970 61562\n2557 24817\n49945 97689\n18361 55719\n28037 65073\n10686 28132\n48597 85780\n33606 67763\n30974 31502\n38887 71723\n42567 46060\n65519 86084\n49920 91110\n20810 39457\n30499 42646\n30499 65921\n58025 83088\n35599 59055\n40106 50954\n12518 26713\n23756 24684\n7678 24077\n18209 79258\n30727 58049\n16370 87305\n47868 85779\n71961 79302\n80834 81177\n641 4971\n6418 49735\n9997 49038\n89764 93497\n11120 48313\n13494 80927\n36362 81150\n23256 36424\n13018 49218\n65490 81001\n17769 37192\n21662 30449\n55053 94670\n20882 80163\n5485 72524\n67620 74742\n78435 80071\n22634 69940\n21971 83320\n16897 66069\n16057 31796\n14309 19762\n38438 67579\n66468 81512\n31922 69056\n20693 83953\n23433 98390\n43477 58566\n69658 74227\n6400 35650\n16332 52327\n76944 92981\n24699 78819\n25781 45420\n67697 89395\n78842 82781\n29171 55516\n61917 64081\n4889 45559\n87941 92756\n9941 88812\n45425 50732\n2197 75028\n37573 44249\n6023 16286\n59155 96413\n19313 86032\n45559 79026\n12833 25537\n20361 28968\n24348 82378\n13460 27461\n27958 97421\n8975 86800\n39490 99521\n62082 72117\n2151 53443\n49338 55270\n52560 55343\n3009 65578\n24224 32976\n54027 59357\n12649 20072\n35994 45715\n22348 97467\n90896 97677\n41823 48010\n27493 65029\n18709 21062\n54754 96871\n2143 44622\n1269 68025\n33012 98301\n30719 71828\n50056 95450\n59824 84494\n38809 92904\n3098 49806\n26015 70545\n27868 95360\n63886 83621\n21044 63621\n47156 62678\n48537 48658\n75994 77630\n43539 75395\n43643 82576\n30098 34115\n30709 43565\n1665 61172\n73096 89411\n38713 94995\n69064 95669\n18358 38019\n22817 66730\n20644 47485\n12409 51747\n10398 13759\n53850 93337\n68952 77485\n34073 48375\n65111 95954\n69553 76043\n2587 36104\n6728 87925\n5470 7184\n40248 48586\n35851 48106\n61299 94275\n2316 79520\n10219 99567\n3700 91323\n17737 46155\n88311 98299\n12262 29815\n18507 56103\n35297 39235\n8573 95242\n8676 31173\n2762 28677\n47333 54712\n49810 59960\n3348 77192\n2527 93153\n21573 34803\n40999 56275\n44010 44314\n35278 51670\n53788 59292\n17898 70215\n7905 19043\n7127 58371\n24997 37877\n62730 66406\n62515 75921\n30255 92389\n40435 73707\n59604 88413\n2374 69961\n4164 72271\n23107 74190\n19605 49443\n75517 79060\n1183 39610\n1127 26234\n35918 68476\n13485 92947\n43480 94911\n27858 75864\n15845 32049\n63950 83484\n31947 51492\n18229 67508\n54095 60053\n40285 97111\n39169 74003\n90336 93029\n67517 71659\n15748 72811\n19386 78411\n1840 93851\n29263 33393\n31261 55133\n40453 75157\n44354 60366\n73880 87283\n54078 83501\n47620 72363\n1299 75656\n19029 35538\n24839 46420\n32780 48579\n18059 69655\n57771 78117\n63818 68451\n53655 99218\n77148 82495\n9212 52184\n13914 39678\n26728 99383\n19814 28942\n71724 89551\n11135 71308\n30942 38861\n32473 68403\n15871 62402\n33985 43574\n21899 53599\n24060 59098\n83785 90082\n37477 44720\n3041 51983\n35039 52782\n48278 97355\n42151 49505\n17837 51848\n63756 88916\n52003 62309\n6006 94205\n15453 56743\n30856 65518\n2320 30609\n20068 55370\n34748 66192\n35747 58677\n2204 76210\n22278 51457\n30477 68059\n24544 51133\n705 96705\n20834 51984\n50284 67194\n21148 61713\n6562 19669\n38690 68608\n19986 51089\n10136 71265\n196 39587\n28082 42757\n16054 36549\n44583 91192\n59563 79514\n37149 57416\n13707 83164\n6039 60425\n45649 86460\n72057 75707\n78686 92426\n18031 39367\n22442 52112\n12529 38960\n27043 56217\n44945 79343\n41900 42239\n18480 42204\n63748 77571\n29463 53458\n16035 57014\n32754 74897\n29251 80154\n32319 34530\n38529 65861\n55648 65090\n26334 57025\n33061 80717\n9277 29891\n72094 95146\n30580 89984\n84088 90763\n54331 83942\n49442 61744\n41722 84455\n4943 95123\n86398 92185\n5610 38183\n3557 8528\n8532 20883\n4910 41667\n25828 67948\n13803 18113\n21635 55096\n41262 83798\n1335 43025\n26544 61269\n24150 66634\n18051 84012\n65584 80842\n21245 70460\n17260 28225\n29070 57586\n17596 94941\n36635 41448\n66196 80269\n17257 34844\n17130 99596\n86181 99159\n72742 90107\n25905 56608\n17890 75934\n59235 74212\n26779 40475\n12883 15249\n51361 55133\n12049 43195\n25114 72917\n6334 85657\n34392 56425\n5205 93616\n48062 70107\n12150 48687\n30321 44035\n47249 66044\n12982 83252\n28409 33120\n14450 84984\n24759 68288\n33107 63989\n49379 88070\n7296 60897\n26163 85603\n4257 85426\n5399 30911\n14514 20419\n33407 85336\n6922 11839\n11817 29979\n59124 84474\n37811 95575\n21872 91443\n68819 78015\n40535 75206\n3631 90846\n19562 21040\n45817 50644\n68491 78966\n33045 71365\n65369 79833\n30844 87666\n13487 29816\n34009 77049\n57986 90384\n43659 44360\n16178 86521\n43707 73033\n8913 24325\n26775 96607\n29146 91652\n42210 94659\n3396 25622\n47048 70603\n41481 97041\n56292 73411\n41162 97616\n61015 94667\n5399 27515\n2094 26944\n38127 72093\n6330 84259\n3586 22660\n75311 86600\n29337 79331\n70898 94189\n8634 63717\n9877 78558\n79214 89211\n11643 59103\n13595 82766\n38985 71001\n46974 62011\n4829 58447\n34147 65641\n14621 45900\n50588 87477\n31566 33022\n56629 68754\n49172 62679\n14895 41047\n2293 27125\n32761 88489\n43876 93186\n47727 69848\n25220 35537\n40796 86903\n3955 46706\n13448 49305\n47093 77366\n14589 46840\n7261 66289\n66125 74963\n34355 71785\n55035 67597\n58204 76626\n32210 36194\n23 24129\n2658 58451\n34345 79163\n13355 95518\n11623 81206\n72154 74997\n24365 48966\n18945 70105\n95183 99426\n16883 99000\n36408 64903\n14729 53417\n31799 49513\n46721 90913\n72998 90136\n48740 96864\n34189 70038\n18514 19055\n14781 84850\n25687 76936\n41902 81838\n89205 93623\n39400 40376\n40187 89610\n11728 49244\n3444 27755\n35175 53097\n6164 83729\n27807 69179\n2960 78079\n76260 99327\n35538 66084\n81819 94079\n8356 10484\n27738 72341\n21095 34487\n71696 82375\n48053 75811\n43809 71982\n68097 96390\n4075 55467\n64 85460\n51968 82047\n52064 95390\n68185 98276\n21 15505\n81687 96652\n46686 71711\n29899 92805\n46063 74511\n25198 96334\n66284 83305\n12587 55697\n6399 32294\n4271 74614\n13179 42152\n29625 32709\n2180 5497\n28951 59216\n31155 85660\n7660 68968\n4487 21063\n20029 60228\n52108 98104\n56332 95834\n54778 64312\n70944 90643\n38242 65089\n47670 60865\n5514 42379\n940 53038\n62672 95541\n95309 98357\n36752 49922\n3689 54353\n26148 45805\n57300 58017\n7214 62424\n12793 76654\n6611 96420\n13184 80833\n10957 60322\n7542 11762\n23819 95698\n19837 89140\n10502 88821\n23742 25261\n42988 49400\n42939 68438\n14137 66519\n14384 93996\n3297 67559\n25816 61449\n21790 58790\n54382 89601\n48082 63854\n41591 44871\n2745 14510\n2410 63239\n26138 38749\n5946 18814\n16766 48347\n22492 22925\n15617 52878\n36721 85498\n27714 81319\n8948 78049\n29763 96982\n83478 86105\n10112 22312\n11029 52668\n48004 73320\n78666 95708\n6150 58216\n46331 85142\n33018 79448\n68214 97035\n38755 55382\n4235 90511\n26302 34076\n32700 64497\n32160 69525\n44547 83684\n39947 97664\n33323 62530\n15478 52731\n60650 91715\n61296 67070\n50307 97889\n12176 43806\n20626 76017\n26045 66858\n29032 86320\n46940 50459\n3157 9795\n28300 91475\n3695 32999\n61632 98566\n26127 54939\n33396 51295\n32553 76486\n42344 66615\n63052 81573\n43325 96984\n29312 47103\n9774 60607\n16935 32315\n14959 46743\n31766 55901\n74212 90792\n38272 48649\n69914 89564\n21751 70352\n47238 76891\n6981 14601\n2291 97990\n14424 55952\n29517 52188\n30319 32626\n6389 61491\n13406 27670\n23340 72766\n73172 78988\n1348 77024\n2785 16024\n189 66389\n1923 97966\n11854 24673\n28115 68804\n80529 90202\n38438 51115\n46359 96092\n11190 73970\n47639 60126\n18560 28401\n7077 65682\n17982 40496\n5351 90964\n54451 81256\n27785 38245\n38025 38289\n33412 83763\n23273 58602\n9737 42709\n64617 90885\n60077 85670\n74066 89814\n72332 80187\n3049 11770\n3341 23118\n5083 31292\n12589 85112\n55517 77504\n28097 79151\n8330 9049\n26455 43759\n11200 81593\n37261 96085\n50879 85316\n73503 82737\n28756 69697\n59006 84326\n3636 71125\n11473 81284\n79421 92740\n33575 78583\n86515 90488\n65 46865\n1718 70277\n29791 45216\n26353 75728\n65503 88044\n43015 83117\n9753 51700\n1793 81231\n31522 80266\n8598 75224\n8355 24659\n57492 93958\n17707 41832\n70191 98554\n17887 54298\n46451 87192\n37601 69832\n41693 74702\n10736 69184\n29822 46979\n43280 77372\n15956 47872\n53016 98419\n23234 26617\n74580 78453\n37764 55370\n84876 96602\n37926 90280\n12154 47121\n23176 66114\n29031 46921\n7903 95917\n1935 3183\n813 72843\n44842 63328\n77804 89661\n29505 45127\n57332 98061\n5066 64521\n12535 80739\n34509 63472\n7130 8957\n28226 79772\n53330 67813\n4074 67257\n9091 73463\n17677 35548\n12210 45142\n73379 82309\n77567 88453\n35826 84089\n33841 63665\n555 17595\n42729 65403\n24318 38751\n1744 50253\n17555 51440\n7530 50220\n56211 56252\n52651 76914\n15955 89020\n2661 62420\n95710 98662\n46992 99232\n10685 45517\n7065 50484\n35188 39634\n48170 84786\n10663 15917\n7477 94235\n18285 19156\n48493 83483\n26796 61052\n53822 73933\n69878 72407\n5744 61238\n34860 68986\n14447 67815\n12457 74161\n12266 53804\n70511 88868\n27585 93095\n2165 45737\n53094 64371\n24001 37374\n14293 92338\n16067 47146\n271 86638\n26227 71021\n13858 40797\n12929 39287\n74085 83526\n85203 85606\n27101 44743\n35345 62708\n55956 70446\n47945 90924\n48252 57839\n4944 11596\n51371 72146\n13988 45669\n20929 46155\n2203 95535\n24862 77043\n23499 58832\n41604 52351\n81200 93324\n41266 91456\n18586 49403\n18699 69745\n68442 91311\n13875 82108\n24669 73814\n36482 81966\n23190 91367\n24133 68585\n46654 70438\n27519 92634\n24101 96116\n18923 77549\n30535 74119\n41616 51699\n66813 89816\n27088 78377\n9787 32482\n34111 38728\n74454 99727\n6359 13827\n22160 98013\n33575 91701\n12560 84620\n56929 71948\n26312 30757\n7107 85028\n89645 94937\n39461 98736\n20463 26480\n60593 91406\n55229 92513\n64050 75885\n7073 82333\n77487 84989\n31108 65765\n22293 32173\n24543 49261\n8612 99140\n30990 53353\n29952 50088\n73465 86059\n55265 56205\n48832 91941\n19770 19777\n5215 86066\n7333 20615\n8041 69388\n8624 71497\n55643 71873\n31184 56528\n91488 99142\n2385 57778\n2278 3253\n78065 84828\n35117 77169\n38602 67651\n81715 93953\n34866 67731\n15899 41070\n3402 8740\n51496 80563\n26366 58518\n44367 50207\n60944 84200\n7416 63462\n33043 64571\n4315 39458\n18701 72578\n21078 81588\n60461 62998\n22306 63187\n15816 56945\n40556 63822\n81213 98223\n24054 92938\n26935 98711\n375 80488\n8127 33972\n29971 81040\n80707 96244\n30112 70896\n13457 86001\n59102 82258\n22409 49256\n2926 8706\n31460 87833\n21364 50448\n39467 41164\n20685 46589\n3798 65187\n27336 51852\n56478 58413\n56185 69766\n10755 93459\n29307 81506\n27510 50545\n73384 95096\n58407 61226\n10373 35922\n75961 91891\n69851 99335\n12555 33343\n45435 82307\n29280 31443\n9550 96450\n78565 93002\n58402 67048\n79748 95111\n41213 84408\n67195 88546\n20186 84632\n24632 25320\n22903 96708\n27793 34895\n25000 81765\n20209 47388\n19224 35460\n28548 48043\n26211 57757\n52620 64099\n32732 45013\n40071 95209\n30982 36270\n14270 49008\n67192 99372\n13614 57767\n19208 35025\n21238 30714\n9681 89845\n2930 38030\n57542 66407\n19795 90088\n19211 39609\n31364 55239\n20404 90733\n38431 93845\n26789 79773\n764 1544\n7651 39389\n73738 77348\n11955 67642\n36364 62466\n1142 24899\n18212 80041\n30874 75987\n57081 94675\n52536 99994\n11580 39732\n19526 56947\n8046 90572\n8162 49287\n46284 53046\n30600 58938\n5557 93841\n16728 35991\n5411 30598\n25652 61937\n34568 87898\n63918 95173\n24093 88329\n5941 14238\n10455 20619\n32674 81043\n20891 35466\n5866 82386\n54334 90189\n58543 66727\n30461 77731\n37249 78735\n10442 10906\n10915 87261\n85014 99153\n578 6397\n41739 43248\n592 83546\n30521 63024\n7817 36034\n34067 81128\n6615 30688\n28275 44920\n24361 29367\n33593 44575\n85439 88363\n83233 85507\n30010 76479\n64669 79692\n26623 44461\n19645 95320\n9616 35859\n55633 71648\n22291 43176\n24402 28656\n48443 83369\n29329 74229\n23231 25537\n35443 63992\n18702 25217\n31569 94079\n5048 36317\n38999 62232\n37999 49076\n2447 28814\n18667 21936\n29458 94520\n15732 53277\n42275 98180\n2926 71859\n2306 26606\n4101 14528\n65739 90656\n26871 63251\n42986 65828\n12204 90542\n30172 36763\n46963 89346\n14329 42243\n6484 20642\n50968 85165\n47476 73354\n16630 43637\n71594 94341\n23271 69631\n12770 18662\n11573 87674\n10844 83412\n21098 50342\n14008 56521\n74838 95098\n38302 99749\n15791 59531\n21879 30308\n26381 53331\n22127 44632\n1337 94868\n12700 80520\n22527 37413\n5114 92055\n62778 71429\n70604 99795\n7101 43938\n17353 57706\n73277 81324\n41287 53022\n48401 48902\n62823 86499\n36128 73027\n18759 28414\n64835 67273\n10703 68997\n13810 27397\n41239 76656\n30776 47364\n28570 62076\n25157 97046\n50746 51728\n13781 66686\n41884 99899\n54229 74873\n38423 58517\n57154 96237\n18294 75981\n1801 18823\n43606 81038\n34216 59826\n58710 62583\n5708 58139\n27268 57644\n64645 95200\n14878 25362\n41550 66093\n54212 60495\n25557 68325\n32317 99413\n26257 75160\n47566 75123\n87183 87666\n32402 66707\n10643 58383\n19988 33057\n56657 75505\n2191 67008\n46121 59808\n27820 92575\n72121 97183\n2698 94779\n11149 17020\n37327 50792\n48324 74645\n20032 65861\n66026 96388\n4807 18256\n10002 67350\n30963 88508\n9249 53191\n83881 85559\n29755 38379\n40669 44153\n12480 61757\n28092 83551\n6793 34869\n24909 53813\n20187 82968\n6945 19955\n32119 78589\n51125 88680\n10066 58385\n53511 83493\n70544 79705\n66474 72559\n2180 12926\n21566 76956\n40230 58625\n53176 80071\n26303 42575\n51479 89374\n22916 46112\n1433 74612\n39708 87891\n8038 95647\n25103 31314\n30536 79738\n79575 80633\n13132 48732\n38080 42309\n60676 98278\n14668 30366\n640 98402\n16202 64945\n7671 39375\n79918 83718\n84239 93936\n60625 67324\n85960 94350\n25864 49177\n30289 98743\n24791 33674\n60141 63025\n55382 96815\n8528 53994\n7083 95647\n20705 95819\n9166 57379\n14813 48663\n46461 61987\n32163 61973\n25385 75174\n45658 98552\n97080 99983\n26245 36756\n49937 90874\n19629 56310\n28393 52221\n9844 51946\n35040 82675\n9539 84830\n20930 55127\n83334 92158\n11298 41940\n12109 95833\n34068 75385\n37181 38774\n28993 33856\n31281 56160\n4937 97280\n2360 19884\n21178 43994\n15973 20289\n1792 17317\n76113 76521\n30083 99448\n16820 33587\n18560 29028\n13956 67297\n33714 53732\n38435 44968\n56102 61911\n11801 92286\n23847 98605\n69679 70345\n1780 60349\n46909 70923\n46100 56141\n60455 67337\n48273 82971\n19672 38922\n40894 63129\n57306 73762\n18678 37534\n71290 86667\n3883 19892\n90152 91405\n44840 82262\n54064 69420\n10757 32873\n11756 83503\n3724 24428\n69960 74178\n3464 99713\n42439 55412\n44756 72024\n78319 91615\n6502 8162\n65566 78725\n15859 48747\n25322 50548\n10019 41480\n7342 49624\n3312 71030\n77379 86767\n12189 47217\n56575 70087\n40754 69569\n18991 84656\n42122 98863\n41937 55248\n34625 45228\n42713 59822\n7675 57924\n52999 78561\n19597 30493\n60575 70181\n60763 83603\n63248 69653\n448 91111\n36493 70174\n150 35814\n21440 31295\n34212 89047\n43496 65202\n46634 93285\n39043 92178\n37038 45349\n47791 68929\n39009 63009\n64365 96790\n17222 41491\n37682 83963\n42633 91085\n4124 89084\n8992 59961\n59729 98946\n27293 61820\n8123 95005\n28556 41688\n30826 59456\n86751 96003\n65770 82262\n74108 85663\n33875 90652\n29235 98600\n35402 42986\n81997 94204\n6389 68177\n70358 83353\n25860 32649\n23847 60041\n35055 99192\n510 94809\n4632 36655\n8924 59995\n20123 64337\n1453 53638\n11309 99125\n3026 22818\n37288 42533\n20324 28933\n89195 97541\n5596 61760\n31436 80022\n56098 64543\n30547 53536\n67286 81776\n4796 43014\n51707 61010\n25924 49790\n89904 95561\n36759 73988\n65143 71113\n17102 84118\n21668 30614\n48165 52980\n2965 96411\n63237 86234\n50288 90671\n46049 78105\n71825 93032\n24002 39515\n9112 93570\n13706 40168\n47989 92207\n21836 37593\n1225 77764\n33440 88101\n20421 28455\n62460 82684\n18159 30683\n25560 37581\n50580 67055\n1807 64696\n56878 74513\n1486 25152\n69274 88032\n4536 32431\n32031 49731\n15650 16533\n55338 55422\n48697 68889\n27603 58902\n11855 17840\n73070 92312\n26857 89821\n75 13127\n62828 77075\n8770 35518\n16114 99037\n18692 19332\n9810 89132\n19953 23652\n44211 54973\n20668 32882\n64495 79327\n65058 97612\n3599 45382\n28385 42208\n15342 85217\n34122 76613\n55882 96493\n22925 55593\n33 18779\n47536 54221\n44642 59069\n37737 74774\n39984 52978\n51629 55681\n7394 30046\n44055 91812\n1379 3995\n32888 83164\n25333 43654\n77722 96734\n18515 79420\n596 95741\n24096 27546\n13249 68623\n98295 99983\n29967 95144\n26148 68185\n73604 84334\n41113 88311\n64550 88570\n41378 48213\n90158 96023\n75882 97754\n30627 39784\n58582 93583\n14036 53720\n12688 81054\n1322 19106\n4221 18307\n25344 52131\n13676 15096\n55893 96311\n95536 95885\n51629 54091\n46568 63198\n5826 48105\n23085 57155\n78485 92565\n14622 48283\n66319 76115\n9316 30045\n4410 96487\n3403 61439\n28669 65959\n7383 35227\n14661 44876\n80885 87674\n26945 50973\n16173 52779\n41420 94315\n32320 49077\n8259 40283\n21838 91492\n54648 67835\n15594 45705\n42842 74416\n44290 95999\n13057 16657\n75361 85589\n1074 22835\n11382 76699\n45793 49632\n19437 30380\n33408 79837\n53229 81199\n3708 61603\n32514 53877\n25681 40240\n3232 93267\n8677 34059\n39443 81211\n7112 50987\n46948 75631\n70772 96413\n76344 90891\n22075 33155\n8543 28942\n19342 70664\n4866 45856\n21231 35600\n43699 54602\n56341 86379\n14857 78614\n26506 57436\n1669 52870\n16048 74743\n16560 75499\n18844 97073\n57001 78691\n20936 71343\n183 59398\n7305 94624\n2196 99907\n23623 70478\n36682 45639\n10525 16346\n16 84624\n18099 41932\n42462 87017\n14337 40662\n41367 61926\n36344 84856\n65192 89931\n12850 65728\n1038 86839\n75854 82719\n20473 37930\n47368 83949\n73458 76835\n51240 74607\n5146 82040\n39668 83974\n71840 99673\n5166 85371\n1957 23630\n93005 99287\n23465 65005\n48529 81815\n9401 32495\n20423 72829\n3239 9256\n571 94628\n4176 99294\n22271 64323\n30762 95531\n12983 74362\n72377 74226\n58894 94338\n8297 92273\n60343 65393\n5253 65857\n27 43692\n45779 63605\n5069 94828\n21151 73732\n19652 84970\n35496 97316\n63514 87730\n54533 65787\n17439 83399\n52595 99323\n69073 76491\n79433 83150\n28099 83168\n651 53566\n37912 64677\n67535 84680\n83349 84422\n25436 32902\n50957 66869\n447 13152\n35242 53425\n6741 98553\n51196 85408\n94736 95162\n6598 27588\n83866 93540\n54786 74345\n54783 96195\n53671 77844\n25820 32183\n1979 57384\n19155 50926\n44009 58118\n16848 47424\n13775 53516\n61993 80981\n8127 84908\n9653 66808\n17548 24480\n858 43974\n53351 61017\n9265 29867\n41138 45618\n44255 57703\n76341 84294\n58540 61005\n15855 73875\n9755 34325\n33143 74347\n6519 13415\n57082 96887\n14334 28182\n34144 42996\n42583 86930\n41688 93554\n10416 27196\n56043 69581\n17774 62321\n14047 65825\n33894 92804\n68998 77312\n75960 89732\n16047 92425\n56181 99521\n64436 98272\n12915 79088\n29496 29611\n14834 81176\n18224 56758\n6058 81747\n50213 57051\n64816 86272\n44211 61844\n8262 80583\n36667 54002\n1927 90543\n58555 93445\n17165 95728\n36096 42963\n23817 94272\n30338 34376\n54625 61194\n47101 81340\n10677 17119\n30496 84252\n74924 84176\n30455 38471\n35656 98628\n6990 20719\n18756 48823\n13237 81346\n22470 71661\n2034 26045\n2366 91044\n77488 91747\n11582 43673\n23037 89019\n43740 76248\n21869 67865\n2833 20806\n54415 81521\n49308 87152\n678 17661\n14359 33660\n36768 50764\n51427 58947\n6650 74994\n22946 85944\n6760 79182\n28200 37555\n22436 70982\n91746 94690\n6614 79549\n50325 69561\n1667 62337\n8439 84241\n20603 35630\n14921 57696\n77445 88628\n11595 52285\n21409 49961\n61417 83169\n1637 48824\n29718 63766\n23945 89949\n60719 97829\n22191 74394\n4204 89554\n21930 41746\n32303 90248\n27694 89682\n32746 53464\n31773 98582\n68015 91161\n12479 78529\n4912 74842\n43688 94280\n17041 51293\n64626 81446\n20135 96768\n1884 15266\n82843 92783\n82189 94779\n25758 32849\n27261 82006\n47964 53342\n58744 96722\n37358 59673\n40186 97808\n10905 26554\n3252 58814\n16390 69797\n55072 83857\n81680 94911\n45614 84002\n2127 5054\n36449 97993\n50628 72482\n12505 97409\n51856 94591\n7883 38615\n55732 60411\n8315 29868\n11167 98809\n53180 91791\n24333 64468\n69944 77364\n32314 36055\n2579 28873\n36439 41187\n12400 38122\n2950 47333\n21502 25104\n7387 19645\n65105 94248\n12372 89957\n48628 74031\n52324 71365\n18359 27660\n4509 20286\n41638 64386\n47302 98784\n6589 83205\n18447 76867\n75750 76778\n68052 74558\n18606 25600\n66458 91272\n9120 82101\n11867 79139\n1992 31425\n36002 38180\n55463 84775\n23931 77585\n40920 87184\n51374 76015\n29941 50800\n19558 84977\n31676 47042\n11909 37663\n19348 94904\n84726 94675\n90890 96301\n74202 94256\n8865 91133\n28873 67194\n18705 78648\n56799 79831\n51415 53236\n35036 39105\n47294 48535\n21898 63400\n31737 92071\n17526 34584\n48194 53568\n71143 84786\n13204 35061\n58645 65764\n79988 98847\n51666 61294\n64359 78937\n9523 31283\n6391 59516\n24389 30341\n291 75702\n46544 51456\n43231 63711\n1133 20908\n21556 35065\n13629 69232\n48119 56881\n61093 97518\n3921 12732\n17910 51143\n22690 35259\n18749 46813\n64756 78018\n29214 56741\n7221 93761\n78033 85120\n58984 74281\n39941 90123\n62205 89187\n7479 74602\n44337 77098\n43544 54041\n385 96561\n12924 52983\n7112 82902\n13101 54364\n42316 71376\n1878 28021\n27150 93150\n67250 96164\n47892 49416\n64265 76151\n22734 43697\n50821 54114\n50534 97893\n54360 93781\n28668 53646\n18186 93872\n4094 15202\n72267 79185\n19356 28825\n37014 93278\n27926 84121\n16064 56010\n5440 6941\n32957 44123\n41773 87177\n4605 53190\n26146 88452\n61667 86278\n32700 49729\n20715 60795\n55723 95466\n37303 86877\n6882 36358\n38359 40022\n44372 48432\n9461 73362\n9248 79775\n89471 90551\n2766 16501\n37280 61777\n1882 81211\n13908 99670\n82733 85142\n5195 30339\n12818 88869\n33457 52602\n6548 84526\n50581 98778\n27218 59441\n9164 36602\n68 61657\n736 44750\n26549 57222\n68694 71474\n51404 85017\n604 43873\n61398 76731\n21690 26685\n24542 64122\n62326 98881\n50023 70807\n71423 72679\n1005 76578\n14833 18074\n9340 65738\n51665 75910\n84988 90738\n76708 81063\n38178 82259\n67680 73959\n65339 75992\n73085 96096\n52905 64333\n27229 66303\n61226 72072\n64502 94642\n12405 56772\n35852 72921\n12419 48527\n70677 94381\n579 30580\n20027 33263\n12613 83241\n2059 97696\n5602 80368\n22619 77650\n35959 82393\n9738 94001\n38401 97023\n8772 13337\n52424 99780\n61432 73827\n48187 53124\n66144 71652\n37701 60763\n70172 87348\n15802 69151\n51647 88067\n37320 74485\n41941 83654\n63274 76162\n13633 39266\n35705 87577\n1232 51659\n28912 77090\n97759 98977\n4585 90874\n46020 51567\n27751 52042\n20073 55902\n73895 88254\n5537 91721\n2089 93737\n61 70463\n25383 44987\n46317 52516\n35207 73747\n44725 60396\n89854 93556\n73151 74300\n46016 94727\n10657 30825\n6220 14362\n9307 69017\n1506 5689\n97317 99485\n30000 45363\n37732 85034\n24007 57985\n15276 68051\n38934 39769\n49861 80410\n1840 4513\n9931 64210\n77023 96060\n24238 53946\n8121 39089\n14944 57382\n61665 64565\n42038 91478\n35032 99625\n50054 56162\n67736 87495\n37609 54999\n8161 82391\n7539 92941\n1145 49483\n5692 38717\n21448 31890\n2627 38488\n44052 54357\n76670 97181\n36583 37821\n69972 88154\n37466 61469\n81865 90067\n84789 88887\n58105 96605\n2764 51915\n96353 96372\n4002 88576\n44691 62496\n49201 49640\n53829 71856\n23433 60500\n61630 74878\n20044 92030\n76049 84420\n7661 81611\n80291 90802\n17803 37475\n27270 52384\n80235 85294\n52888 87773\n47189 85120\n64890 73825\n43793 80853\n63087 66047\n10761 29980\n6754 93715\n15226 21769\n53621 97092\n2954 47416\n26510 97890\n33672 50316\n9357 96071\n30840 43845\n49973 83417\n1600 15529\n6233 45110\n19216 58331\n68329 81795\n21124 49735\n6241 33405\n26500 80526\n41557 60647\n30052 95718\n48233 92311\n29161 88225\n47872 76008\n57697 72613\n72728 75679\n37317 87923\n23494 61322\n16213 40566\n18727 80035\n21428 34819\n45477 85358\n29229 82917\n60283 61417\n22228 51662\n18048 64259\n48938 74833\n38782 71048\n12774 33764\n51321 70305\n55410 97346\n33530 72390\n42889 47362\n10549 45278\n8360 82930\n42103 90626\n75368 76573\n43970 60634\n14999 34775\n38618 98737\n11946 34082\n12061 48129\n33290 68981\n15283 74685\n44245 97892\n76509 98161\n26811 48389\n76912 94717\n48485 79870\n13731 28654\n48146 51175\n21385 78808\n42125 48545\n29551 33542\n52558 58610\n51760 98481\n49739 60456\n11060 12443\n9776 96361\n61060 73452\n3494 78457\n42770 93153\n57246 93589\n60773 91525\n13679 28232\n82250 92342\n18946 35373\n41731 90560\n79329 99037\n866 48404\n11484 73237\n20763 20852\n2167 18613\n605 77530\n3432 57883\n25078 48274\n3680 59984\n42211 71935\n10010 39812\n7477 23872\n4981 82664\n31729 49747\n75175 82860\n47764 97516\n5270 60793\n3752 23789\n33991 63481\n50210 94235\n5041 95938\n15692 31774\n76490 98511\n14844 64432\n46460 98054\n65446 95058\n937 82355\n3014 23357\n30564 86997\n28143 33867\n6368 59151\n13365 57153\n77786 83880\n35500 56879\n43802 69098\n51598 85714\n21976 69517\n67446 87578\n64150 68877\n68332 85889\n16421 26890\n45017 79675\n43212 58907\n43982 81235\n23567 97129\n6435 92386\n152 94973\n41932 78632\n45548 47189\n85076 85126\n6713 61746\n9621 16747\n89805 95415\n31497 97788\n35058 70282\n37769 78898\n4285 41249\n17519 74793\n28694 89329\n35109 75175\n25497 82149\n59030 99095\n22333 63036\n46973 49487\n12440 40306\n38528 52685\n22811 87543\n13005 71134\n44689 71200\n30910 67999\n12410 97965\n51806 75925\n5224 19079\n2409 96706\n33514 70990\n34309 90849\n2360 10455\n770 51830\n28563 53996\n16398 25060\n20866 32776\n79666 88860\n8643 62648\n79219 93090\n48856 73607\n13210 24376\n56386 93697\n47139 49235\n30427 66416\n3424 16469\n376 2135\n10353 96849\n14044 21687\n32395 44768\n5910 91246\n10221 35862\n14050 90629\n32653 89435\n27936 28670\n46763 96951\n49228 70578\n42160 84235\n15702 98483\n93699 95254\n26807 81945\n6344 75324\n59642 93301\n35786 47167\n45925 56733\n11816 28389\n40018 42340\n53350 64013\n9275 28509\n59200 90325\n4781 45103\n35764 63449\n10768 97914\n50275 85405\n52829 93425\n60064 90772\n76520 90522\n6665 70883\n45142 61927\n3320 61152\n73805 78107\n20202 47105\n69170 95883\n62594 94262\n6404 55712\n90671 96272\n14655 52067\n48504 99625\n32733 82357\n1484 27345\n27268 69110\n57570 81155\n20877 81036\n13453 24257\n36460 87483\n23028 79302\n54607 92103\n33009 86069\n75506 81883\n10787 85954\n50701 67333\n20201 91818\n25781 31002\n26777 93493\n3726 58423\n36361 91902\n36205 69109\n43349 59224\n17666 30250\n4395 62442\n35815 43392\n6714 10421\n24250 45859\n24970 65119\n10594 56101\n60844 64727\n54400 97220\n83781 92339\n4732 50154\n86555 89781\n82496 92916\n28051 28103\n3923 19670\n58329 90853\n78379 83191\n33020 55208\n42977 43890\n2406 88147\n24362 47095\n93814 98024\n70976 81802\n58870 70804\n62162 75662\n83341 92807\n23227 35499\n47702 78179\n75113 87142\n4474 99560\n81157 98267\n51859 86242\n48129 73420\n50592 86808\n11071 19053\n41374 62435\n48335 96385\n9172 89725\n67529 73210\n1924 87307\n38164 70476\n29480 85924\n18975 99342\n20853 42268\n30592 65043\n44564 96386\n88900 93576\n40648 50027\n20376 28424\n23573 26886\n24037 81545\n26115 33208\n10892 97545\n18494 53873\n20757 92720\n45029 94456\n59394 73301\n69733 78659\n21014 89829\n66413 69586\n38355 44870\n15284 80413\n44030 61419\n9087 44074\n35360 52413\n27071 30397\n50605 62471\n39206 69377\n39746 84819\n48505 92575\n9079 88210\n17278 36831\n65717 87109\n35886 46945\n21610 80028\n32037 68750\n14500 93301\n9923 49182\n11187 29763\n37668 69797\n62516 63384\n20187 41641\n24057 99829\n24626 69683\n4721 84511\n18832 60469\n11773 74562\n8125 31188\n8524 88872\n18594 22483\n10340 27542\n56557 82805\n1632 16800\n15002 33959\n21455 92765\n50602 57607\n6448 40656\n367 48359\n41309 82558\n78623 81764\n53838 56585\n15106 69898\n25759 43008\n30670 84886\n60912 67171\n38365 63635\n7027 77184\n40561 49129\n75319 97207\n39653 88075\n5602 11591\n21291 41353\n81434 91928\n61247 64673\n7689 85822\n36931 66496\n8705 63712\n11332 57343\n27168 70295\n76012 82472\n2290 36951\n38943 53161\n7229 74801\n14533 18557\n46148 79920\n19103 71973\n12620 98358\n58909 78518\n64704 79790\n3425 63352\n61275 66297\n78708 87830\n53603 94677\n71140 79911\n5061 82895\n87420 88844\n28695 39911\n23057 44521\n49109 79691\n30654 55012\n88669 99114\n51809 76110\n35268 83256\n49599 59426\n14362 44716\n61242 94036\n19225 43312\n30326 88429\n22751 92940\n25893 50211\n18558 99834\n7962 47784\n1883 45917\n1708 40709\n27943 78273\n7853 15829\n37987 39249\n29526 68223\n4558 82313\n40051 48809\n10609 39224\n69995 72879\n7336 95414\n9768 60851\n22261 63798\n44315 66805\n43725 96456\n16427 45996\n75411 88897\n5629 93327\n31826 44000\n17616 77499\n57199 77934\n13300 21326\n28945 69964\n3254 9914\n1847 71790\n259 74775\n45593 61776\n27939 31205\n46931 64004\n40542 49543\n87958 87967\n34055 46967\n44716 67943\n11767 81940\n9724 42439\n17368 44802\n39982 74816\n9947 77099\n33234 53648\n48056 65512\n41439 44734\n15749 66037\n66818 90510\n6584 14629\n25407 74754\n47360 82808\n41069 74247\n16401 50745\n26083 87125\n46687 77039\n10848 51961\n30289 84955\n9282 16126\n28827 96919\n5607 7347\n32687 42757\n17713 26174\n37497 75060\n56146 77652\n1972 10453\n10332 98990\n10069 41375\n548 22405\n43474 49855\n20149 53276\n16165 28044\n35441 82284\n39071 45174\n22758 51103\n27989 38767\n6208 82519\n9787 20645\n60432 81785\n61273 73009\n1847 97538\n10634 84446\n21642 78271\n54230 99326\n8971 39108\n49915 75162\n79028 97982\n43402 50198\n12018 76367\n65814 73756\n28399 32562\n36985 40729\n12562 68512\n66326 87145\n20635 57463\n56197 69665\n7957 36782\n29423 56395\n33158 81627\n18781 95353\n69499 90762\n4393 85687\n4505 12594\n11354 47208\n53793 83962\n56703 72191\n8716 40910\n29440 54360\n55880 75903\n55518 78995\n26874 29595\n11122 40258\n14841 75688\n9783 19579\n22775 39092\n36279 65769\n30601 72491\n9046 97928\n45138 88446\n90008 96593\n76934 97423\n10320 51171\n18388 47574\n3589 26806\n21555 31281\n25428 54325\n22832 53328\n68386 86155\n39926 45776\n7729 31935\n20122 23846\n4811 56658\n97349 98358\n66733 76524\n40720 55535\n58370 66482\n32070 93961\n65714 73921\n23323 43771\n3651 64440\n44249 74820\n10651 20199\n406 93393\n18332 46130\n38654 75742\n9635 52484\n6565 44210\n43315 92581\n6799 33109\n24599 62351\n70811 92180\n37114 80266\n76329 90553\n30229 60834\n30169 77263\n19428 26897\n60096 99409\n8212 38129\n26359 46677\n76027 77327\n32435 62726\n14348 91941\n9510 92787\n33229 93073\n15538 84214\n55974 82445\n44756 84529\n78180 98574\n23296 59925\n18888 96437\n14197 92470\n3596 79367\n17983 37369\n37400 54924\n33858 48776\n10820 43538\n13880 66828\n8625 39048\n33002 57181\n8170 68868\n16506 28758\n81825 88172\n13548 84140\n48991 93105\n82700 98260\n43953 61995\n29508 90279\n61135 71854\n33778 73185\n15097 89772\n7457 47920\n39667 51290\n20277 41085\n82822 99574\n2614 85913\n85067 89246\n7759 11008\n18230 49666\n33681 39771\n57504 69587\n51080 88177\n1139 75521\n7180 55953\n37349 55327\n13359 57914\n35882 61709\n43549 70869\n8915 51537\n68738 84148\n60905 92419\n45030 85303\n4471 47486\n39503 45966\n10330 18897\n33737 40668\n218 74987\n33321 49614\n3098 78163\n46767 80275\n28431 29411\n47078 82194\n26238 74577\n85979 95100\n22905 45987\n31252 47540\n85444 96946\n7981 49350\n6325 16392\n41854 54834\n3868 82823\n60852 97011\n9872 38663\n21383 23860\n34845 40792\n2712 9251\n3607 53149\n2014 75427\n41769 56517\n20406 32204\n84282 91517\n15547 92248\n61567 84681\n7331 74685\n24267 91990\n5800 77197\n48738 73982\n66965 86440\n33550 62423\n24489 49942\n28331 72858\n23192 39921\n9338 98661\n19688 27221\n46636 63722\n30788 93318\n69205 73780\n81934 90717\n21181 22384\n41098 49466\n91783 91907\n46676 66857\n66373 93396\n38940 85204\n2064 55590\n44455 60164\n13814 43503\n30950 82072\n27672 75492\n53470 68187\n27778 84127\n11616 27448\n3300 33955\n48635 63171\n81576 81636\n20854 73780\n2630 10119\n60424 84698\n81496 99627\n4279 21607\n13243 64072\n26516 46996\n18659 84313\n46924 83038\n15689 91911\n10066 87116\n78103 87968\n114 10847\n9220 49984\n1348 46913\n36109 80391\n23594 92630\n48479 83896\n32834 87216\n33064 77264\n37940 63418\n2821 56341\n62317 66685\n45175 86783\n23672 25250\n82264 88653\n1373 59528\n39021 58002\n23068 32392\n6363 63841\n19435 85403\n21060 99003\n10491 16986\n69739 80068\n15096 60903\n84 80030\n16613 75081\n31499 71469\n10291 33057\n60483 79253\n9468 28791\n65022 76620\n85685 95524\n78723 88954\n72279 92034\n13405 27875\n33805 62114\n31179 80214\n29560 45526\n51969 71976\n126 29063\n9072 70276\n8245 43452\n26465 34628\n42715 62736\n39025 97751\n84824 92476\n29604 80966\n24551 42236\n38584 39258\n45380 88405\n2447 94920\n37635 73360\n25617 31866\n6397 12346\n26784 67264\n74752 77981\n1803 79610\n18065 94476\n7442 96980\n15288 82643\n63467 78962\n58377 66222\n38096 92743\n82431 89993\n19730 73429\n23719 65145\n7915 29781\n5583 81921\n60490 70663\n671 38364\n5748 61600\n48862 94107\n1171 27061\n50260 98562\n51580 67473\n26014 46284\n25104 89132\n20706 44345\n39094 43040\n25102 67248\n10958 22561\n23257 94092\n36837 73240\n20241 86664\n9818 28162\n21923 45802\n7381 79072\n10613 62997\n70098 91832\n59548 74483\n41734 93497\n65573 79990\n76891 98028\n55326 96791\n25688 63240\n10315 72345\n18930 92598\n61609 89404\n27304 99448\n22574 72131\n30880 81090\n68656 98444\n63465 85554\n37706 80415\n30964 72961\n3192 70131\n30189 50635\n36606 97597\n26112 80681\n67485 84567\n54589 83243\n75890 87491\n18572 76016\n21849 41651\n33589 84587\n11737 18304\n20308 66978\n86054 89453\n11233 88330\n6995 71403\n45605 69660\n5997 94180\n8327 96900\n32736 66343\n27313 83772\n47371 70865\n24060 86088\n9795 44565\n41303 47881\n8151 14999\n66404 68961\n31329 44021\n41234 76008\n40565 73573\n12259 74982\n1957 94109\n2962 25345\n1883 34719\n46817 75800\n38087 64891\n64372 99257\n18333 40232\n46359 72050\n20986 92148\n26029 45632\n40232 78295\n71274 72430\n20257 63401\n40720 64053\n1668 37387\n69301 73891\n6963 7357\n6731 8266\n3500 77778\n5393 56281\n63079 73026\n58978 72800\n41538 97905\n68315 86812\n10062 38868\n54747 91345\n38800 65828\n22800 29566\n12777 14520\n16355 79229\n21656 55892\n56139 79764\n85268 85338\n24264 30018\n81048 95123\n13802 52088\n41467 88244\n31137 62001\n21950 78032\n7759 57637\n95911 97085\n5631 99834\n42093 82186\n19263 60562\n40081 76564\n10589 92749\n56535 57091\n65097 70708\n26303 29821\n24181 81441\n46969 81701\n29589 42522\n42395 70629\n67569 94528\n41347 41423\n35175 91048\n67007 81885\n8126 61461\n4623 12704\n1689 54314\n3212 8604\n6132 11499\n35167 93547\n18216 46097\n27704 89859\n87634 93737\n67844 99066\n873 32054\n68184 74222\n28092 66677\n5905 65839\n45831 53559\n1733 13052\n59047 95718\n13212 88263\n394 69892\n96239 97648\n10876 32225\n65635 73442\n42852 88449\n31473 66437\n5272 55534\n69985 72185\n13203 55428\n26416 41295\n61703 94274\n2825 33536\n14845 89083\n67851 83788\n23093 89980\n58492 80977\n63820 80250\n17207 52503\n2726 51204\n6006 25424\n59183 86445\n41771 66716\n16600 36601\n55329 71138\n9331 44154\n49720 95281\n25668 75481\n74486 93278\n3325 90084\n3516 63067\n42772 85066\n1007 46260\n59726 64630\n9012 38973\n961 3368\n55242 73216\n37054 43278\n82219 92405\n13540 80000\n20527 55670\n8923 45482\n70357 96555\n45365 49324\n40511 51852\n9193 94239\n37243 40502\n74833 82701\n13766 98594\n18042 35499\n2683 80319\n17109 21646\n27566 38227\n26237 27877\n53329 61130\n41204 56376\n21428 59085\n50725 90127\n17134 27920\n66916 71449\n18394 33437\n12616 17032\n18803 94514\n486 39909\n4571 20560\n14423 59350\n71353 86239\n75090 98593\n30599 87363\n23111 70623\n5369 89439\n4830 28356\n24108 62934\n5552 61562\n43591 78865\n11602 45080\n42448 96571\n41258 49571\n71461 91443\n903 20530\n21834 44981\n6526 84783\n40145 49012\n61028 87903\n73479 90561\n73825 75978\n70551 72133\n16454 28800\n44652 49689\n41822 89996\n28992 82837\n23953 90518\n32302 63621\n36660 58360\n75645 91947\n37025 48028\n93162 96776\n27165 94939\n18637 52957\n62769 68061\n34620 80780\n72806 91632\n58942 84836\n9917 71847\n65058 70077\n29292 48205\n16262 35505\n52318 54634\n11931 71798\n20232 61192\n27999 68485\n9145 89263\n11827 21269\n32713 34564\n4724 16230\n15268 77594\n23538 55114\n15919 94348\n44307 49021\n70783 97892\n97864 98359\n7753 39514\n90407 91065\n79144 93296\n39260 96609\n29793 58284\n1763 10365\n71510 84590\n59654 86769\n29963 93658\n70815 80973\n48808 77705\n55027 59684\n37163 96560\n78318 86862\n82902 96900\n65149 83388\n65107 71661\n9555 57748\n46567 94907\n46736 47418\n37498 70107\n48778 76605\n9585 96408\n15729 64753\n29530 94082\n416 55515\n37057 78443\n32314 63772\n47730 65637\n52755 77783\n22180 48603\n20049 76536\n62510 69202\n32436 83371\n7701 81277\n27644 28124\n35541 67797\n3627 66491\n17134 39562\n21388 60418\n54813 91387\n22349 89627\n32666 97290\n68114 96149\n7076 98198\n20691 31821\n31045 68166\n62849 95688\n56018 90847\n47251 68523\n60057 86889\n9119 40427\n27385 78496\n8607 47658\n1186 79830\n48949 53729\n75543 97360\n9248 55776\n33895 35467\n71565 81876\n31108 70955\n17490 29355\n23135 48547\n81131 86102\n72237 90481\n5196 30607\n50102 86156\n11015 98274\n41128 56410\n79724 81854\n4452 79249\n36640 84624\n28778 71534\n73101 85073\n66087 95637\n24382 47797\n56743 81740\n32541 35512\n33097 60944\n1629 50374\n36693 47723\n4588 43684\n25709 32807\n51364 93524\n56164 64326\n15132 51566\n39183 85170\n23766 84771\n7953 81914\n3860 37060\n9031 56886\n4795 34168\n34785 75421\n47782 94631\n81259 91537\n31576 53800\n72132 87274\n38923 82252\n23893 91649\n30376 90006\n13582 17990\n31673 46472\n15463 77269\n6374 74777\n86687 99256\n42831 51684\n26674 32229\n6371 30434\n42011 51598\n63657 76096\n47453 78185\n7125 79815\n27049 36399\n17119 80900\n30294 38737\n21675 29935\n67945 92619\n71938 82691\n18021 81372\n4002 88514\n16299 75461\n10207 98091\n47774 60634\n57561 71487\n14449 73263\n21476 46365\n11317 86721\n28415 53010\n91570 92594\n33695 44015\n6847 53891\n84726 84940\n86096 98448\n53828 85863\n31232 86673\n13352 72807\n8795 59377\n2880 62218\n61531 75663\n49451 54763\n44664 55456\n49136 95132\n12185 90508\n8973 10661\n45139 77029\n29651 88771\n53124 56242\n24512 30765\n33204 66765\n25933 52920\n357 11915\n42973 71246\n37390 39434\n24162 85528\n29794 50979\n35188 41345\n43835 78189\n7038 39947\n24588 79365\n37901 69142\n11803 37554\n1011 50737\n68160 75756\n15521 21704\n79617 86273\n34875 58754\n25581 32913\n21917 61494\n28799 97498\n36233 92894\n13598 58633\n50108 66430\n10312 84980\n22492 93485\n14070 31172\n23936 75098\n2094 7515\n35302 98419\n9248 44835\n11984 40800\n11885 13797\n41850 68107\n71196 75566\n7768 86851\n2401 46033\n9550 43807\n28667 53554\n7024 39694\n61877 66490\n19369 60373\n9388 37627\n8584 13633\n26410 66708\n12781 93524\n12384 13401\n58039 81408\n27885 71074\n32701 56226\n86505 92807\n49606 55489\n696 90988\n32530 61925\n62554 96497\n74229 97728\n55075 71428\n47943 80786\n7405 86684\n10330 38745\n9122 62323\n40052 89384\n61573 78769\n49196 57475\n15946 65672\n46979 59548\n10662 61507\n9601 34941\n11142 77179\n10309 84102\n43875 67217\n845 21679\n18001 98239\n23427 42788\n38363 97695\n24789 65523\n52241 73184\n60772 89683\n22380 99301\n27119 53416\n7678 44291\n14747 61820\n4090 15404\n15395 91490\n14360 55023\n30546 61257\n81156 94673\n71322 82931\n48253 94343\n3910 71364\n8799 71161\n41482 83444\n46610 86992\n36417 41659\n41586 55045\n76045 82497\n10735 59817\n1748 65015\n40703 79212\n37877 88302\n21921 42690\n13199 96876\n11633 90951\n84 87168\n4146 66874\n35149 37237\n63598 79857\n50120 59600\n11100 54548\n36061 65102\n51570 81856\n9410 19706\n3515 23205\n520 12729\n11031 23767\n20968 73277\n13972 17550\n30430 56073\n62096 73049\n9898 80202\n53762 95988\n31692 73758\n14158 40638\n51356 83123\n6343 98715\n46387 58524\n44780 98493\n38254 45999\n750 68270\n32516 37542\n50132 52607\n31426 67549\n62349 69242\n73495 77598\n78723 79653\n25492 81910\n8642 16104\n13044 86678\n89465 92644\n46995 73263\n14732 55755\n34493 35300\n71698 93697\n50381 77470\n8215 24309\n54968 83422\n38224 73911\n42585 43810\n19992 29482\n12597 29060\n5541 89974\n11960 29634\n35656 89748\n34591 40408\n48111 71312\n18967 34901\n41156 43684\n1409 19424\n3269 21092\n34608 55021\n49647 82067\n35327 37035\n66108 67121\n3587 97099\n224 17894\n19191 91146\n8992 18320\n9410 51243\n50256 59817\n2869 45463\n50837 83164\n68963 82946\n70192 72522\n5279 95856\n36586 73865\n6166 75094\n33279 90104\n38409 76020\n36348 59279\n57157 82283\n5556 35370\n17668 25025\n98177 99044\n41231 47819\n63233 88714\n1664 54575\n6535 69067\n15629 46210\n57974 60879\n48871 96644\n10630 78719\n8965 92549\n54004 95441\n12184 77794\n23158 72692\n24682 63060\n82844 88103\n56747 56959\n44558 65485\n33409 80836\n41099 51035\n51877 58881\n27051 83337\n9429 61002\n10955 49011\n36686 53893\n54365 90659\n15827 52734\n51751 62641\n55003 96868\n13907 15191\n71796 85971\n83030 92907\n11746 94650\n42416 58746\n43015 93375\n46615 66689\n20559 26770\n11595 65995\n55392 97867\n20000 90298\n72327 83157\n15995 29662\n9190 56822\n37483 79873\n15820 78069\n3171 28569\n17961 99659\n31177 89977\n64561 95625\n10233 93858\n5412 29666\n15624 96597\n44696 79343\n44625 62042\n4961 9306\n36499 81346\n34821 90044\n15850 47508\n48904 69929\n13264 46892\n20199 94312\n5902 70347\n16852 70380\n1655 31891\n43837 77635\n1705 35083\n3236 85062\n44837 99636\n67968 83826\n20347 74534\n47102 82787\n3429 91566\n28118 76872\n76233 99284\n22726 79780\n31620 81003\n57443 81664\n28171 59167\n28106 85794\n7327 48471\n7698 92793\n3048 85182\n70404 82620\n30285 36496\n10699 84276\n47404 51103\n15039 34018\n12840 63219\n6783 50448\n8429 64427\n28452 66728\n45030 92964\n18839 54267\n31936 85335\n91941 97552\n51075 92461\n19380 67086\n15870 74926\n3133 66191\n41817 47905\n17742 85301\n22111 48131\n21470 94355\n33521 88922\n13362 75572\n21844 76792\n347 78060\n43200 77831\n31686 76582\n33938 64762\n47329 87102\n35349 42246\n61344 65999\n26485 90736\n54336 77708\n46896 58497\n4709 20889\n11219 45341\n28568 53148\n8085 18026\n36373 75393\n74897 88224\n56755 62829\n242 34117\n38736 83501\n25733 30782\n26759 89316\n4350 46842\n1353 21585\n49173 69972\n13740 34259\n46944 77803\n33753 92821\n11780 59597\n71546 76421\n45799 86042\n69688 91116\n51606 98107\n20565 76300\n32243 32994\n41754 54231\n19425 90274\n22569 90746\n26826 34170\n23831 55458\n9015 59339\n11793 66840\n34806 54948\n59059 86358\n21736 89190\n9951 35790\n83217 98945\n13512 63273\n1628 74199\n34870 89763\n52905 95714\n891 41016\n44401 50720\n54402 74515\n38787 84309\n22322 64155\n25372 63846\n4409 72293\n12119 99088\n13281 72283\n39242 39993\n46976 96941\n10147 85085\n67223 82031\n67186 94121\n713 93251\n33935 72973\n13285 81832\n66923 67129\n18369 38393\n14694 82594\n32005 51594\n12122 75436\n8447 96506\n13261 35027\n48849 71793\n32691 37964\n3689 74321\n75735 96617\n12278 36823\n8291 69803\n36506 38749\n44812 56168\n83013 88994\n7989 30385\n6423 93715\n47153 56660\n83442 90371\n4082 72405\n16439 34371\n39085 82557\n57192 81563\n19099 45747\n8246 83706\n38470 86885\n2289 71081\n4944 94400\n28949 64506\n33829 81200\n12619 77923\n3032 3696\n12129 53743\n41077 45663\n30019 85230\n16208 69817\n31479 93215\n56822 77473\n34412 84898\n3940 55654\n21236 45516\n22177 76303\n42609 86667\n58532 76793\n7635 18817\n17007 99549\n46360 72078\n38866 88915\n56395 68776\n31192 70802\n69006 96988\n65953 74448\n88087 88259\n25571 40716\n14662 19519\n13894 82605\n14151 92028\n31003 52037\n18811 92208\n27136 76762\n53598 95551\n27114 57379\n39296 53875\n26268 98963\n36841 58471\n6572 39030\n38259 71704\n11246 27606\n74755 88703\n20437 94202\n11981 22888\n20070 68681\n47303 88279\n27884 41408\n55014 97939\n55901 77450\n18988 64263\n36867 72686\n47245 94458\n5141 48524\n39544 94877\n29991 65125\n61125 97733\n39674 81526\n85660 93122\n22285 77174\n37549 93216\n42247 87132\n2981 97754\n26637 41597\n50603 97583\n20856 77295\n11113 53100\n8626 87530\n35893 78109\n57288 73406\n18652 93588\n18217 89336\n36670 89022\n19391 93319\n59324 95678\n9853 23270\n25112 38715\n45892 90225\n4933 28814\n5544 74607\n48130 93225\n11450 15977\n16974 19855\n47282 97331\n51846 72240\n39336 56793\n8095 71667\n56775 94606\n48904 94994\n31119 85034\n84325 87498\n44815 72382\n59275 73318\n55909 72823\n14365 53950\n15284 33469\n4975 89950\n10916 80475\n14553 79267\n91285 98030\n79046 85231\n61044 81068\n673 25230\n1112 13902\n82291 90627\n32749 51213\n16656 49616\n71146 79892\n4727 46209\n45716 72863\n28874 40559\n64472 65197\n1854 42425\n33606 60318\n29855 84006\n60198 97975\n64080 85725\n3098 42172\n21432 61436\n35575 76440\n59322 95331\n14612 90599\n21675 65918\n40749 94691\n27857 55383\n76019 85587\n36595 47543\n21179 56672\n4602 97361\n30068 89149\n19740 59153\n59315 75388\n42076 64235\n11260 55821\n10712 86937\n4654 49956\n34421 87080\n9836 61252\n38018 81897\n3141 68007\n49072 62370\n264 29895\n37117 42269\n15717 72596\n2049 27630\n14513 19228\n31500 38925\n3428 26182\n46303 92959\n4072 37054\n54605 86661\n33111 98740\n47972 78104\n43189 52830\n13895 38810\n66758 74084\n14903 44208\n50671 57457\n35626 51034\n19528 31751\n53639 55918\n46852 65459\n12149 81584\n70285 73699\n344 72044\n77842 79101\n73356 85699\n79012 81764\n39418 61611\n18150 20557\n17639 53329\n33020 33124\n83618 84934\n37861 65466\n11745 27466\n29064 57396\n3941 37973\n23201 99250\n8570 62832\n20568 59532\n3446 85956\n82579 85688\n60120 76814\n22322 56529\n64808 83320\n75179 88804\n2706 25739\n29332 34190\n63556 96009\n43969 65598\n23547 87107\n48259 70910\n13339 86038\n28424 34262\n12947 98173\n58050 79324\n19787 36202\n58987 87411\n44271 68447\n32546 36120\n65010 68939\n34699 68358\n12836 53709\n461 21027\n58542 82129\n25761 38770\n26473 98860\n16775 96172\n53145 73251\n45031 88034\n47043 59151\n57739 59075\n21983 46788\n21847 50437\n35979 93712\n60075 67763\n62124 95182\n18430 40385\n10570 47014\n55663 98163\n13656 29384\n11576 49195\n14502 31884\n21892 36109\n37160 62318\n21337 87723\n37603 71246\n82169 85146\n36698 76949\n35350 97700\n6510 25120\n14596 25207\n51480 92045\n19314 52006\n15090 22389\n35712 88779\n16247 55867\n27102 56460\n82091 89932\n56683 89399\n34625 77862\n5376 19963\n89857 97930\n64693 89306\n45753 70377\n46440 95365\n45711 54367\n15883 24002\n17090 47785\n5581 34335\n25142 51106\n42699 76614\n46302 48232\n646 76889\n3023 17277\n12813 95653\n45548 93261\n5995 49341\n53254 82707\n15674 63156\n10143 86744\n42173 88625\n83590 83607\n67055 99679\n49670 58792\n25015 35842\n15847 63519\n32475 47492\n62371 65907\n10840 69654\n23108 90737\n72146 72340\n29250 92540\n47011 75113\n26132 71283\n55218 75246\n55811 62797\n35443 47270\n17143 56360\n10549 54421\n24396 33497\n36765 96930\n8138 16719\n53578 64998\n45693 79106\n15579 53919\n3477 96224\n60849 90448\n4556 48013\n27243 49677\n36278 47897\n31660 76171\n9386 67724\n40313 62454\n83930 97693\n20363 79002\n1889 12852\n32557 35433\n4120 12097\n49517 88419\n50440 88733\n7817 82560\n10266 29214\n18037 99133\n15694 63349\n48976 96401\n21533 65630\n10584 24929\n5614 66174\n38089 69329\n37460 70598\n72445 94172\n49356 69322\n38695 51599\n31306 50799\n10337 45934\n24468 45402\n27882 72365\n19836 88613\n19660 82507\n40081 44326\n86274 87430\n31409 98300\n12278 36544\n40251 49993\n75618 93266\n53466 62952\n78219 92174\n53820 54820\n66887 84139\n50595 82040\n1559 25498\n33079 79830\n40534 80665\n11975 42771\n59695 76986\n12232 37614\n28735 36344\n4338 77836\n49793 56928\n3624 8646\n266 5004\n43354 47645\n8892 55262\n35567 72272\n34584 55607\n58407 68690\n59205 78728\n46130 83096\n30840 34436\n16886 82400\n69152 81489\n735 46885\n47998 92756\n76651 90176\n56412 96292\n86316 97526\n61919 76495\n15826 19547\n28328 66125\n18602 95571\n28581 61617\n76758 87549\n6066 78431\n91135 96401\n57909 61882\n44486 73254\n76010 91215\n48656 49494\n8172 52282\n6447 69280\n19656 62593\n14691 59043\n30639 79617\n10163 82470\n41708 91386\n71628 76586\n39702 45477\n10969 41219\n30051 38587\n26299 97573\n1347 68473\n76841 79258\n19623 66931\n4789 78662\n3659 36860\n24026 61217\n14819 99653\n23186 26331\n15783 86353\n18185 64620\n44304 56504\n4026 7972\n46094 65667\n32762 86635\n74002 80894\n4848 32321\n59618 92373\n40378 83550\n36860 99855\n9152 88202\n26254 49925\n5214 30935\n24404 92500\n20484 93744\n6664 59924\n64126 72230\n21815 29291\n56802 87008\n51055 74176\n20503 96967\n1371 23567\n32800 70168\n21580 59538\n24197 81538\n59341 77238\n2400 62465\n17044 94742\n51908 98027\n33583 43527\n45196 63386\n41620 76878\n59163 97947\n13246 99019\n95590 97235\n29571 33533\n46209 53974\n14605 41721\n5147 85194\n6918 54435\n24276 89532\n12448 21958\n24130 66723\n67492 94413\n51826 86199\n4 55457\n57347 58863\n14065 27089\n51826 73529\n74197 82420\n47675 50155\n26145 45599\n77192 77564\n63066 71806\n46579 83331\n13958 42350\n2302 14182\n46511 72678\n15776 76665\n4728 18668\n18951 69695\n49688 79864\n34651 94916\n38167 39882\n8057 89972\n34613 99217\n23200 67713\n28758 91732\n37218 41668\n25167 83212\n55823 67868\n5827 56380\n5506 23407\n13306 59802\n24629 52752\n64318 99944\n15937 43162\n27769 86295\n65760 74241\n14005 19009\n9657 41330\n3293 65311\n53745 56527\n54755 67000\n51278 97841\n21101 73315\n33812 90091\n34826 86212\n43695 79495\n34963 90713\n6029 88893\n24605 43817\n45710 89540\n55848 80649\n7480 98450\n28833 91944\n41925 91383\n29233 34918\n74198 96915\n27754 88706\n24964 29871\n94970 96435\n7414 32025\n26371 51814\n23219 25320\n626 92181\n19678 78179\n39597 69126\n48077 51597\n83805 95162\n45463 86977\n37603 89397\n43086 61595\n33596 95829\n24401 50503\n50494 95286\n1261 93782\n18022 76118\n58053 77897\n13104 76954\n26850 75462\n28322 79290\n35544 36299\n48323 76717\n705 22490\n8044 68379\n14152 62116\n34035 92346\n12237 17888\n44431 96405\n37449 45479\n54762 58332\n62688 67741\n50328 86928\n28301 50724\n47528 89279\n69763 70159\n7659 26073\n33805 38265\n44119 82541\n41869 69843\n13901 53864\n93613 96405\n43545 68358\n89452 94035\n27221 62060\n62548 88405\n33663 48822\n14047 83210\n57121 75134\n34349 77231\n86811 87468\n35508 84361\n16953 53605\n33322 43804\n8555 90949\n27182 29880\n41640 64989\n87960 94966\n20597 91589\n38845 89527\n65953 74092\n66788 70696\n36327 84271\n11352 33435\n50865 96272\n19130 61987\n27605 46729\n20444 74279\n47739 74832\n5771 46431\n15638 45750\n52377 78052\n49318 91483\n4250 65122\n39202 84419\n56076 63337\n32735 40218\n2408 62756\n6039 43002\n30467 75504\n90259 94034\n7505 47428\n3455 28445\n14548 83382\n11142 47826\n83216 89013\n8820 73537\n45854 77521\n10868 54749\n63252 87897\n53746 83529\n5959 25069\n33261 48457\n29474 40586\n40485 97335\n88619 93496\n79777 93736\n42063 94587\n59464 74616\n51800 83331\n16221 68971\n30835 48901\n3946 68950\n12150 24443\n44826 52876\n16407 71107\n34626 39685\n9636 23783\n5544 77395\n34376 87007\n23967 75802\n30641 68656\n4798 98577\n35006 83896\n22134 98385\n3132 14144\n3992 58513\n32634 65504\n4289 5562\n1069 66875\n46899 67908\n25852 65765\n4036 66048\n39976 42046\n30357 33889\n34348 88846\n32738 70910\n90243 94325\n14791 76799\n11635 36044\n17441 29692\n28636 37961\n38609 66815\n31503 55891\n39115 44376\n24781 36670\n4193 75513\n81941 92477\n31483 94801\n57633 77705\n64242 79867\n33132 34285\n93149 94328\n25908 51503\n20122 60692\n79743 92719\n17411 67675\n14716 96471\n38828 56307\n80010 92878\n7468 23874\n59778 60820\n68444 95606\n17765 79066\n91490 99044\n46726 96148\n40007 57158\n29033 49598\n91411 94513\n3661 95628\n24777 88036\n16770 23378\n82395 98712\n14312 83322\n18472 35772\n12204 85753\n14451 59262\n34322 95114\n38029 81256\n47485 59163\n36141 67353\n25366 58306\n65390 70640\n19109 34724\n39000 84655\n1799 30822\n47254 69587\n6483 24987\n13179 33954\n3185 70609\n4581 44037\n36816 79087\n24426 36613\n52832 92368\n15625 72057\n12307 71060\n4665 97615\n78840 84628\n10889 51382\n37043 48210\n18217 36295\n4277 21895\n30123 36270\n18638 37796\n17230 36442\n18335 56059\n31530 90951\n35668 89971\n35552 70769\n27929 34382\n24700 59957\n33980 92653\n20340 86383\n37563 94149\n1599 31508\n24145 54115\n46211 79768\n5091 44305\n885 9123\n56558 88566\n49281 61034\n43637 70111\n23940 74527\n25471 48322\n30641 68925\n44161 63723\n50685 80496\n1305 2120\n50084 72749\n21587 77780\n7321 96994\n10822 50364\n14377 89107\n15145 77412\n52918 76617\n76246 87032\n5369 55876\n7150 47849\n59164 75731\n8947 39757\n35478 45320\n50614 65234\n46054 53378\n14424 52903\n82973 88436\n13055 87961\n18469 22875\n76 68534\n14884 58090\n19794 56798\n25369 27667\n37652 40127\n21665 74432\n49663 97625\n8622 91897\n46917 51371\n65647 79815\n31872 55155\n7612 46595\n25432 74022\n25023 40527\n3065 28627\n2107 87617\n48719 80517\n846 30807\n11655 61528\n7746 25404\n38128 68705\n47632 89693\n6504 86504\n5192 38969\n20130 24735\n27128 53217\n6533 19709\n8641 51192\n12178 14162\n89289 94602\n42211 65487\n44025 57038\n23560 35461\n33570 89640\n12339 14344\n52428 62602\n20974 76762\n9235 21385\n4880 10776\n26540 74776\n39037 92106\n42264 73073\n23154 51797\n54787 88614\n1432 34910\n9134 27028\n38744 46974\n55106 65153\n40077 69653\n24913 27260\n24647 38760\n51929 67247\n76499 84032\n57297 96372\n20077 58638\n16866 97584\n71036 75021\n44748 63934\n65231 81924\n86254 92218\n21089 58559\n81238 86219\n36003 72042\n8543 42872\n6780 70209\n64398 92212\n12150 21968\n13608 44078\n123 94733\n42369 59090\n98745 98997\n5895 47767\n24045 28343\n59925 91911\n12284 78827\n1902 17963\n12692 51125\n63300 99550\n42787 72744\n12243 57438\n38833 58094\n35811 69192\n51537 67394\n19099 34967\n23791 79039\n47223 94875\n29701 42074\n2123 42706\n4229 24822\n15324 25867\n52915 96456\n11106 20135\n57839 90737\n3977 46757\n78256 94066\n69029 93341\n4490 84309\n36321 47839\n22847 60453\n21140 21613\n80689 96473\n73199 77892\n9156 85084\n46449 91257\n84034 98283\n26513 62814\n31795 42944\n45820 87723\n1132 54794\n31125 81720\n44012 94652\n47523 63181\n26543 64433\n81279 87975\n40407 73075\n90516 92380\n29588 82964\n68542 82500\n18139 25521\n50428 51555\n44770 88924\n9215 41844\n2371 75859\n38402 40749\n14746 82464\n17534 70720\n68427 82343\n55985 85660\n28670 92779\n8630 40268\n528 6055\n17772 36241\n14285 94885\n30739 83516\n21474 89968\n10837 71009\n9706 42658\n20806 70603\n42835 98757\n22080 57932\n10105 63880\n35753 87508\n13101 69643\n13609 90384\n58840 69373\n41809 71877\n35511 71884\n14648 71855\n57089 82824\n39982 83502\n10520 20380\n7126 92221\n8481 52227\n66385 77725\n54376 97090\n38452 42390\n40789 49219\n13636 80827\n22773 37045\n32512 47411\n23993 36336\n17102 63863\n49980 71953\n29056 92582\n45728 73264\n53973 71891\n14206 54733\n4671 69627\n9979 70281\n86317 88787\n69949 72154\n71101 99310\n10573 62857\n61843 91384\n16972 69578\n4168 21338\n17910 34582\n1826 43688\n30445 72289\n23580 61279\n9165 61212\n3709 27461\n28788 69214\n8526 95252\n52672 89853\n1339 42490\n36145 41156\n31107 56972\n6933 87819\n9231 28201\n65994 88686\n74097 75629\n9274 24450\n7982 98000\n41081 74807\n50153 93750\n22393 34635\n64156 77245\n41640 92240\n28269 32729\n41111 60854\n72584 96028\n4672 8574\n1719 12919\n32971 48032\n73481 76062\n58634 93753\n53228 98490\n17629 63632\n14428 75478\n25460 42935\n27991 76584\n25040 25434\n15284 63204\n23441 33728\n27698 85609\n45342 51608\n40577 89198\n4719 41415\n525 78127\n56209 75253\n16544 21223\n23648 31648\n15896 86545\n50642 99450\n38401 71804\n26061 66413\n51105 64797\n43617 64567\n38607 57657\n6974 51381\n75404 98083\n30068 61131\n67295 77007\n32793 51929\n70934 74089\n74907 95646\n68440 82024\n61770 88488\n16615 89119\n28713 94593\n22509 47772\n21920 67616\n32660 44617\n51002 72699\n7770 43038\n32925 51135\n44365 97410\n20166 85709\n16252 97481\n31176 57396\n30774 73608\n59083 71537\n31095 82850\n16251 93389\n16139 84569\n24706 98105\n54724 80888\n2333 82843\n80493 96294\n23192 55683\n17337 82833\n21518 60153\n83237 91761\n44619 76803\n52123 96320\n6363 76005\n42661 78802\n14463 98099\n13140 38394\n4732 58034\n52290 96625\n57107 87501\n17866 66176\n9605 47009\n3505 16062\n33054 35363\n3151 98090\n41442 71459\n3242 19968\n32150 44998\n51835 53750\n39942 64916\n17928 28360\n21297 44656\n8663 86623\n25791 81232\n1885 38401\n44376 66589\n38665 51014\n33647 61730\n19282 52094\n16152 53921\n27731 39162\n34474 61442\n47766 62101\n25208 86191\n35708 84472\n12212 80925\n63570 94183\n76378 82737\n22456 82327\n3119 73799\n29562 56079\n28278 52437\n15373 91021\n37244 66591\n85405 91267\n8345 81725\n46506 51547\n55617 92583\n20909 94485\n7830 50957\n56572 73687\n38595 97826\n37383 86803\n59734 93371\n14416 15863\n33317 55980\n50369 50503\n79355 80417\n31676 99636\n85303 90713\n18673 99400\n68075 81131\n75514 84090\n43808 48495\n2642 36661\n31512 81440\n24067 80237\n22572 90427\n42566 86046\n20008 71972\n21291 27260\n54878 95821\n33858 58917\n57216 82586\n5088 23569\n46533 77933\n993 82006\n11361 31699\n12891 86756\n76083 87918\n6672 60527\n44373 59950\n5419 89501\n22075 31958\n10364 45232\n41076 94467\n24755 78680\n24405 47148\n43766 53525\n35217 86203\n6529 38406\n19893 42124\n8741 19485\n36227 40872\n2381 55812\n5092 90514\n34191 73350\n6095 6939\n22620 36061\n261 16105\n44798 84512\n50570 98513\n20336 38260\n25246 51102\n45356 88978\n18609 30729\n16519 31442\n2853 91963\n36632 84778\n45639 90696\n82033 95387\n43068 78315\n35070 61233\n84910 89477\n3438 76363\n38138 43254\n52178 68752\n51300 94744\n69325 94981\n299 89225\n54407 69893\n6710 46617\n26867 73720\n7688 67926\n32825 64973\n55456 88716\n1465 26751\n3386 8654\n18226 25284\n14567 52407\n52703 82083\n33177 87023\n41257 62142\n70303 82161\n41545 98448\n62035 84910\n40208 76655\n24474 96426\n5647 55053\n15813 51245\n76299 78416\n50401 87612\n20146 93197\n73308 99613\n26627 93353\n61987 96117\n41434 60744\n38162 51732\n83816 92260\n19474 62453\n16312 96352\n18236 38974\n13808 59937\n10912 38334\n37220 99506\n14907 52044\n1705 64485\n13096 23747\n53534 86365\n18184 99992\n3085 18372\n18140 25591\n13526 75094\n14445 45132\n20808 36842\n19269 32136\n41888 85042\n42471 59187\n15927 49555\n20496 80685\n36476 53874\n8399 52430\n7238 57235\n38397 85683\n38726 66411\n40346 41614\n3014 97518\n27249 59711\n953 16364\n7063 60571\n20608 49960\n51627 71935\n10315 91872\n25241 65691\n18819 36339\n6674 64402\n89583 90442\n72611 81583\n53091 82140\n4763 61937\n31671 36108\n63615 65795\n27200 74846\n19461 21591\n78401 90963\n18193 71480\n4921 86763\n77821 87131\n22169 78191\n46387 66216\n82716 92601\n42161 56982\n30108 88155\n12903 37403\n15683 25629\n11583 97412\n17886 36445\n40890 58247\n10214 55405\n4883 38261\n46429 72418\n1561 73736\n20140 52138\n71757 77068\n10374 54133\n41118 58332\n18032 74549\n1886 44639\n7047 50632\n4888 93087\n21001 88507\n12335 31357\n2471 44369\n50665 95692\n25784 72234\n34466 80590\n43591 84097\n45091 60550\n9226 93557\n2331 83410\n6558 16215\n4945 18979\n51991 68866\n42609 46440\n57918 93686\n42388 53791\n4021 10662\n49322 82086\n3076 8021\n35257 67702\n16864 33445\n18101 90689\n4907 66748\n42001 77054\n24258 98869\n44570 80424\n5362 80212\n26649 89763\n11974 30992\n40046 79347\n14634 71191\n44177 82765\n5625 72223\n6515 27607\n19496 97494\n16447 72866\n77453 88832\n13725 74251\n36546 41101\n59501 74890\n14326 78442\n33274 73618\n34468 56102\n43575 49306\n13318 70201\n358 81933\n27541 86184\n39402 90892\n18989 72791\n19751 24501\n10729 31218\n76944 97339\n30315 74334\n601 20339\n64390 76422\n23814 59415\n13971 92372\n41190 77492\n19679 36402\n25795 62171\n30450 52924\n27858 68222\n43332 97042\n21928 28581\n44364 45655\n39071 56729\n26484 74232\n18102 93566\n1765 91393\n3484 46990\n34979 77768\n13852 57824\n1818 41115\n47979 71123\n36204 52186\n644 49280\n6736 83316\n64320 64618\n18420 56584\n8219 61954\n18908 53946\n57695 93920\n52938 94086\n71400 81669\n73660 76207\n94979 96531\n42403 66761\n14408 26914\n36692 97964\n72902 77531\n34608 74559\n7139 23072\n25927 66219\n35953 77192\n27543 69783\n13370 73462\n16397 72191\n55632 62117\n2288 43599\n8029 49150\n31183 70827\n88059 96063\n27079 48812\n19672 98223\n1168 70244\n4095 5739\n56511 87982\n19763 27333\n11841 90491\n28572 38279\n23486 76601\n1983 25760\n22893 53478\n52634 99550\n41183 84752\n23769 47245\n18557 52764\n26857 45062\n14700 97406\n10139 34106\n1886 14676\n47706 96910\n4526 55217\n5180 25554\n3508 81829\n43045 65568\n69230 93785\n44224 55333\n24497 58873\n",
        "output": "366\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 93,
        "task_id": 541,
        "test_case_id": 26,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 100000\n38392 78476\n39511 57090\n52451 88073\n41475 42837\n9703 97059\n32223 84264\n62222 70955\n35446 93712\n197 41912\n33930 82434\n77135 84065\n31850 85372\n45779 69903\n34525 73219\n19700 23076\n4196 63854\n13628 24276\n2315 3595\n21879 53502\n27064 27321\n6816 51858\n19172 58316\n72335 80026\n9182 88807\n68686 97014\n51897 52320\n31621 93114\n33278 85200\n57554 88436\n39896 64524\n47597 52059\n97911 98572\n73245 79945\n2850 80666\n9178 18597\n72704 95029\n32985 48291\n22028 96267\n42496 90128\n10061 38323\n79492 97090\n18708 27144\n48116 61962\n6696 28177\n31007 32689\n1804 62234\n7431 19888\n9064 87151\n14968 98305\n21196 45293\n25632 37428\n55742 96180\n33075 35102\n66068 92025\n5626 35197\n57858 88828\n16167 53080\n27672 47412\n9129 67747\n14788 92653\n19061 79623\n7229 50697\n15082 34091\n23774 90222\n27547 86188\n13584 14679\n62895 63013\n7461 67219\n43156 81033\n38711 60774\n24823 63943\n52926 53930\n791 45174\n14886 32266\n43760 69808\n23851 87880\n44032 90441\n69778 99430\n11307 28608\n18096 90119\n22866 98254\n30954 58598\n66786 87626\n22937 63719\n34997 68154\n68792 81114\n43287 50567\n8214 80708\n6766 55399\n6531 35445\n3243 71758\n30173 62181\n19186 57811\n54927 58498\n23986 82431\n64690 99032\n26384 90182\n54700 95362\n70066 95542\n2228 17435\n9282 58810\n43198 92533\n11008 74552\n3733 76205\n7504 34972\n9154 70891\n41796 57759\n25072 48228\n39629 78622\n94536 95497\n72777 84535\n45458 61217\n47979 60798\n77741 92765\n70944 97572\n10363 86211\n71591 82173\n25732 99173\n1001 77174\n83470 99769\n24291 90496\n6943 87637\n389 3273\n58328 82415\n5336 93622\n69085 97157\n12843 57662\n12305 79155\n25268 68967\n4938 35396\n62155 85240\n5680 63211\n29941 34656\n84938 95439\n3100 71707\n44677 63999\n31705 44013\n13965 61688\n72128 93723\n1336 55672\n63771 71709\n18607 67999\n909 71653\n32064 64234\n25090 33149\n44575 45577\n83698 91627\n48796 89254\n55663 72700\n30146 97701\n40178 76910\n10547 76355\n10958 82022\n70774 82457\n62438 75647\n7823 47121\n30304 34317\n40951 77411\n10108 31769\n9223 59003\n80996 91273\n8801 48710\n16707 78097\n37908 61033\n57752 67266\n40665 42661\n21352 77570\n42029 98354\n6594 74518\n31021 47934\n36340 77915\n18463 29976\n12201 42566\n57095 71270\n30029 47321\n9454 15671\n23618 63980\n17637 89573\n16222 51477\n50516 99451\n44222 61329\n26985 27411\n11382 57935\n64797 89187\n76867 78720\n17896 29983\n53728 99811\n277 31751\n89649 98267\n17150 30146\n52564 52756\n12380 55598\n23811 50828\n2263 31509\n21689 96739\n62415 89552\n87644 99286\n25044 96669\n2612 85416\n33015 69908\n24612 58809\n40573 80528\n21900 97508\n76158 79993\n30825 64749\n34489 44947\n13588 91409\n8237 65479\n42764 94008\n50234 89840\n1340 93902\n6886 39428\n40004 43308\n11242 38391\n8466 72422\n18812 19043\n24655 73320\n33187 99541\n23559 94798\n46080 95349\n75422 99281\n23145 24366\n2812 93913\n19242 64454\n27003 65802\n2701 27883\n14128 97597\n76643 84712\n49161 80836\n49819 94709\n17384 82057\n29949 37354\n48175 58690\n25564 86738\n843 40505\n21748 80552\n31807 59393\n93099 98138\n57896 76135\n427 51990\n19256 48537\n53367 95331\n55407 69650\n1424 30282\n71423 76633\n12074 27210\n15292 27864\n58584 91075\n7984 69422\n8429 32884\n38419 79773\n14045 66111\n5566 13884\n73571 81798\n73350 95601\n14256 38030\n23264 87298\n3808 13768\n28423 56343\n56969 73677\n8348 86004\n39194 50109\n13336 78411\n69049 80418\n23560 76671\n13239 28764\n32677 60167\n43186 85832\n83771 98871\n21653 23104\n34568 48832\n2624 55638\n10567 15575\n39319 70092\n28732 36311\n41229 97544\n19881 49960\n5136 16794\n12988 87739\n12563 50661\n49815 67774\n33678 94517\n24738 95039\n31953 67750\n24551 86600\n31900 49383\n2173 4689\n13420 66597\n30792 83882\n8416 97773\n77692 83200\n7710 89931\n22671 96361\n9123 90561\n27259 95272\n72711 80329\n70661 89780\n12337 85956\n30146 41961\n6574 82885\n4024 46181\n4503 90777\n49687 89661\n5451 17874\n27520 40954\n2355 74313\n1778 51287\n22454 45942\n28500 37518\n23262 64368\n67487 94346\n11515 52180\n58463 77336\n73688 80672\n10680 72938\n37026 74037\n29855 94676\n11392 29912\n33122 98991\n15553 55655\n52935 66956\n80622 97151\n53464 64696\n48239 96995\n73899 90134\n85888 87086\n14399 17473\n28730 62802\n412 75790\n24438 49015\n69887 77151\n32024 52769\n12517 83407\n19765 36291\n36544 49626\n2209 27167\n26749 52950\n3962 37059\n26466 95663\n7833 35350\n55774 88589\n33035 63829\n29526 31453\n27735 45467\n14923 88601\n47932 82195\n36380 77925\n54057 80887\n8178 51244\n41527 70694\n15443 84860\n20462 93023\n1119 11434\n33775 83839\n65881 88101\n8291 33166\n488 70578\n29670 65365\n34872 46967\n60641 81469\n11798 19034\n18935 42675\n2862 38588\n58954 63924\n7008 20781\n80344 94464\n8826 15125\n10961 94949\n65957 99559\n44350 87688\n13000 67050\n21830 39024\n47605 87883\n16504 77466\n68276 73120\n6231 71063\n55618 77437\n27549 83372\n21699 89653\n30234 68478\n36836 37359\n40545 57509\n28870 28897\n30690 46600\n5925 85216\n35185 65877\n79778 96350\n24078 54250\n25186 47877\n18190 79458\n23242 46753\n25310 55029\n25702 91371\n11968 13379\n59199 63922\n3173 54912\n62499 99610\n21274 38614\n8007 33025\n7174 89820\n39747 49825\n46608 92606\n53538 88366\n10753 50989\n28082 69277\n19278 63797\n3357 95113\n24619 93536\n41629 85525\n53580 63582\n6296 58490\n58798 97074\n70003 85164\n58036 65754\n25464 96729\n43226 59804\n29177 91722\n35914 67812\n44489 54467\n14178 46027\n50255 66288\n25607 84635\n5200 39772\n19168 39728\n25468 66684\n2979 13707\n25689 90434\n24379 98968\n15394 48311\n41093 45529\n3735 62635\n22342 26210\n57184 72435\n18928 56030\n62635 71537\n74603 97826\n12133 85726\n14965 33985\n10038 91890\n31997 76320\n74308 75255\n74579 99653\n27911 82343\n41552 49721\n23462 31861\n56774 96631\n3070 29122\n34788 87934\n23045 34881\n8049 52778\n19363 97968\n4659 45960\n67151 79617\n19909 65549\n48529 86376\n19910 75396\n22110 77023\n36826 84566\n46268 47008\n4733 30825\n36176 92231\n8543 89740\n28577 99443\n19961 98617\n13121 44263\n9708 94484\n9750 66067\n47864 87229\n18840 39760\n13488 91508\n49146 61833\n13673 21478\n71640 95081\n34049 81848\n60728 73546\n25728 27553\n4462 66023\n9584 77923\n5380 16908\n4071 32891\n52522 85250\n31463 52683\n44853 99925\n14944 74078\n29262 79351\n2961 50994\n43471 70651\n31414 92074\n34436 90203\n15015 47471\n42568 86078\n41299 76945\n4330 92988\n11008 41270\n17452 66577\n1188 3640\n19280 35513\n73355 83110\n1418 73411\n63217 98529\n4227 52779\n97117 99112\n36313 81134\n23580 56475\n24234 89014\n34391 80535\n52217 98050\n51224 56734\n10426 72833\n58025 63339\n46160 67454\n38959 70952\n12884 87022\n51752 68581\n41247 97737\n38117 41756\n51792 73306\n6405 82708\n21990 60785\n47344 89854\n10792 67928\n45295 87442\n35745 47619\n1720 60440\n28911 54795\n2512 89078\n21399 56667\n41332 88033\n8956 95503\n33947 86287\n28099 40941\n29008 76870\n5566 40519\n11044 72819\n78674 96439\n2220 48925\n2616 41828\n24953 49946\n35757 86962\n50890 69350\n21989 31237\n71831 95366\n45084 62221\n31222 51619\n82413 90209\n75383 91547\n6758 16530\n23241 49284\n26147 27559\n24343 38213\n85121 91380\n23295 39084\n73775 79027\n39979 66778\n25791 97015\n46671 63756\n29426 72498\n60331 85817\n87019 98879\n32717 34826\n51058 55204\n54289 81503\n53210 91773\n38014 83153\n73795 82190\n56954 82266\n14891 92986\n4592 63883\n31577 94259\n43641 44024\n42804 68488\n54881 63853\n84064 85121\n9964 12340\n32247 54344\n50635 97633\n65750 78970\n62303 81877\n1473 9061\n7283 56128\n2829 35648\n21920 65595\n48056 76585\n15411 96203\n94850 96167\n62656 97103\n34318 66168\n34616 57952\n43115 78061\n9314 46084\n27871 29904\n18308 46220\n26357 70403\n57094 57203\n54907 62196\n17305 47652\n26253 72920\n10567 15868\n26734 84921\n64242 89608\n12421 91890\n49128 98878\n19097 25603\n15466 59142\n75278 85393\n39303 68178\n2844 76522\n17508 41972\n45700 81221\n27674 93658\n9122 49689\n64341 87053\n17606 56195\n53318 70113\n74534 79859\n93508 97859\n85551 93776\n7988 43324\n49895 71221\n27675 97424\n74525 88170\n6989 40277\n1952 10713\n14098 72960\n12891 65290\n42800 86853\n74615 81962\n37704 53431\n39902 67941\n36808 62637\n20608 80106\n65854 72895\n44521 84303\n19972 75984\n19288 85291\n6481 54205\n29444 65455\n2218 76023\n28596 41661\n14653 66292\n19943 72751\n9889 39455\n14058 65600\n45909 66799\n92401 97932\n34639 44272\n51747 97973\n7013 67469\n14355 92021\n18694 29005\n42709 69587\n88506 91575\n31095 73067\n13332 28034\n39923 42005\n48281 68444\n71848 73667\n50329 73211\n32072 37691\n3839 27183\n71910 81253\n43080 84011\n81191 85922\n4785 11549\n12095 55185\n68157 73031\n8317 35906\n24761 38179\n19821 77120\n11890 21159\n69265 78017\n28169 60458\n40906 96775\n94775 98424\n83392 88292\n78522 97496\n8698 99781\n19275 69429\n6941 76872\n15293 29749\n9332 88841\n20667 59901\n75892 91297\n28427 97880\n54183 96548\n45381 97312\n88854 93257\n852 2021\n21706 99232\n12566 67316\n27574 98285\n65375 91103\n49673 78715\n85118 90797\n15098 53653\n24795 42692\n68979 74888\n4999 31431\n2914 33009\n10632 47029\n49314 96707\n23088 52520\n79581 81738\n11401 60401\n36120 75250\n82884 97502\n35592 43243\n52253 62137\n22996 84001\n39038 64844\n46527 70242\n24617 85782\n79727 82177\n11791 52698\n11476 53638\n41387 64674\n8990 58570\n35641 96270\n475 84711\n1337 92399\n4684 17176\n65650 90642\n15373 78989\n33411 99364\n38846 81582\n25928 71188\n21285 91593\n53471 70476\n19870 70927\n27745 88551\n14119 49684\n30141 62546\n54420 62216\n44322 70395\n97641 97930\n30722 76536\n14729 60308\n75456 77007\n10672 22327\n8829 74512\n18489 31220\n44931 62172\n36644 87082\n13265 87599\n15773 30323\n34995 58281\n87560 92498\n34788 64414\n40772 55044\n2261 28872\n2191 32650\n26755 64438\n25797 73580\n33818 75752\n26757 31905\n6054 64836\n27245 47130\n268 13200\n39490 56678\n16623 82112\n29195 86687\n8179 20667\n4639 20287\n48752 60314\n64263 72194\n21432 75690\n7212 27676\n28112 77058\n37800 58452\n4163 41902\n41385 43934\n14377 48241\n43254 61457\n82084 87001\n56861 88818\n15875 90195\n49625 79399\n44967 73033\n89470 91042\n17162 22412\n23503 54843\n10613 54347\n54279 83951\n2360 20792\n12795 22441\n39197 93675\n43959 90069\n14369 96437\n24086 80000\n34886 57747\n2279 25903\n70329 82229\n41293 67016\n53758 86707\n5723 69985\n37952 44067\n14847 64615\n42050 97353\n35962 82598\n33518 95136\n9158 77867\n57977 91377\n74175 86174\n7047 44191\n73856 95624\n27015 89289\n49478 74509\n34694 99051\n63642 97125\n42035 89826\n34325 71824\n1513 23824\n21322 63512\n32154 94731\n4178 66484\n9782 81895\n15857 49687\n5425 63399\n71296 74687\n72651 80402\n64286 75122\n30420 81447\n21711 59798\n57654 73509\n40877 45282\n22773 97502\n66951 74345\n12172 76596\n86213 86817\n36837 39356\n67609 71507\n6935 63647\n64016 93355\n7203 53019\n78221 89756\n8525 45417\n80471 85546\n40524 41473\n46101 55915\n39671 39842\n23240 81299\n79552 84203\n18400 97091\n3531 58887\n40842 84770\n274 26931\n47705 99430\n73889 90071\n34509 95889\n15254 49294\n45244 73091\n31042 49426\n24726 48537\n7524 44661\n33984 94572\n32184 95884\n17048 48606\n72147 79156\n73282 85240\n30254 59477\n48913 69732\n33266 43237\n56230 59026\n24518 72344\n449 90211\n613 67042\n18490 38767\n14628 26968\n46165 91538\n2280 42251\n24426 89465\n49153 92734\n18933 89770\n25856 94936\n2678 79199\n11605 41350\n28231 37384\n71355 94735\n2 59135\n19298 71073\n45542 83281\n52009 72686\n59015 81147\n39225 55640\n4072 22930\n2361 39516\n36492 66036\n65431 92289\n12811 44628\n73071 79468\n23676 94927\n16956 39613\n13588 51587\n96363 98724\n63399 76660\n86799 92281\n69932 83001\n32622 33834\n44431 92458\n48615 89661\n7908 51814\n23557 77044\n25569 80936\n17668 87592\n34922 97225\n12704 69895\n16660 25989\n12355 87610\n9526 27378\n25712 27061\n76128 86296\n72790 97126\n7818 55854\n40168 77304\n58792 82007\n3585 43321\n32386 49044\n12190 74676\n59219 70331\n74912 92619\n542 27742\n11468 61642\n30786 68088\n75555 81667\n81695 85375\n29083 39407\n95052 97275\n3222 47035\n27323 83850\n39419 48602\n7669 70171\n9836 23134\n41634 90619\n4722 16273\n30266 71243\n43863 68988\n53939 73406\n15350 54660\n91566 94363\n48595 50890\n74169 82399\n35049 86528\n3680 18343\n35168 57166\n3623 86079\n19063 86061\n43373 64969\n72900 97626\n1694 29077\n15996 19234\n66915 86366\n82741 88687\n6441 64640\n20766 41964\n55427 72923\n19644 77058\n49135 99321\n224 24180\n41003 76332\n44820 54459\n34183 35162\n9215 15395\n38359 43790\n68771 89033\n8351 63267\n29992 77671\n18422 76730\n36774 64200\n42238 45460\n9 63489\n20123 72359\n1017 55992\n26680 55817\n52641 89160\n49024 63683\n13096 49652\n10093 35457\n45578 83879\n48402 72597\n3373 55687\n3832 79462\n94250 94581\n36532 38033\n7483 49525\n59178 63757\n61330 94069\n20306 91571\n6490 61649\n23576 82815\n35757 40079\n3074 64862\n14041 91661\n22728 26210\n38316 87442\n47832 87414\n64680 67676\n16662 91671\n25120 65369\n8876 72429\n80709 88640\n8542 86232\n15406 27004\n6531 62424\n20549 66965\n20492 95235\n10843 91148\n31885 58116\n44094 49826\n36523 60981\n86735 89476\n49916 55627\n2352 26020\n10766 67869\n36368 86554\n89997 93886\n36847 84088\n7256 19654\n59378 73429\n17867 82665\n57544 99188\n35497 93112\n354 65766\n39687 87928\n81811 95817\n64908 90415\n28047 74294\n50213 72272\n17459 21067\n21708 45250\n26180 75329\n17584 21296\n14270 95873\n5549 61467\n13919 86640\n4133 29788\n5251 27399\n44678 88083\n57482 89890\n50629 91161\n5236 49250\n73837 96505\n26997 82555\n38946 94523\n16065 79767\n54794 82297\n67251 85783\n5411 49990\n58753 71878\n3916 52510\n9835 39281\n66989 84292\n28577 85722\n8892 51133\n62051 69456\n60448 73655\n28044 91003\n69923 82909\n54163 98289\n43017 47877\n50946 74996\n45326 80293\n14295 42594\n13060 44074\n52578 99707\n15489 18105\n14082 57542\n71162 79361\n15013 73575\n1350 68455\n44125 78217\n5800 63098\n49361 62342\n33066 70805\n7634 92808\n1747 12426\n17238 72135\n6399 54051\n22738 33310\n57320 64877\n23669 93115\n19698 64467\n28285 37389\n26988 47712\n46315 64421\n23959 33001\n50279 59941\n1451 86041\n5194 84474\n1514 28094\n80157 88951\n17853 68500\n26711 68597\n14251 30128\n20539 60764\n37678 97579\n24203 81729\n76493 96287\n71693 93200\n51393 98616\n39606 71432\n6440 98093\n1523 93251\n49832 77670\n48871 79529\n36378 63134\n51403 66665\n38568 51697\n9145 36196\n3112 79365\n22298 65431\n49844 80381\n24567 40403\n18981 25425\n3595 12032\n15642 68048\n12347 63246\n10160 35877\n50565 60652\n24680 68563\n7861 48705\n30441 81956\n25703 50783\n45810 53350\n16861 69057\n32149 36592\n16554 78737\n3402 76152\n67637 93012\n22421 73613\n18004 37836\n17649 52388\n3243 77512\n2241 92801\n30802 41536\n25673 81910\n25528 40861\n122 71713\n84858 92771\n1930 25573\n20758 47187\n5733 75286\n3364 76477\n56946 75955\n5188 95827\n1827 31186\n18063 30047\n4802 45436\n1660 18072\n50637 55928\n41901 45688\n53817 61089\n21720 24588\n51155 99361\n47531 60308\n44907 63984\n15400 34569\n8227 92346\n19208 26902\n28884 63766\n24045 25191\n54956 55731\n54943 77496\n27928 68653\n1579 91276\n6922 38644\n35156 72499\n39022 87013\n49508 85869\n3890 97388\n44683 54486\n23263 97642\n60062 72074\n2613 72701\n50419 74432\n310 65455\n69890 88437\n3054 66291\n39500 80573\n29304 80357\n64215 82596\n35022 55074\n33726 57775\n39084 77439\n4444 10793\n17502 23185\n2900 87691\n17110 88196\n27018 75399\n27673 60731\n62942 70020\n66499 87491\n29719 55635\n71532 79672\n28165 95340\n22070 73003\n24864 47821\n23986 79516\n8902 96802\n3225 78352\n63098 69957\n5301 56350\n36458 78131\n25299 70333\n1722 68562\n20609 22767\n67554 83614\n9619 17320\n6350 63767\n26731 57430\n20533 24902\n18141 69786\n11584 43493\n14610 34265\n4034 53068\n67614 78403\n50448 97436\n8779 21809\n34142 54154\n47744 50469\n2419 25856\n19756 76577\n54774 69862\n38151 60705\n59188 98761\n45349 85108\n9106 45077\n37707 62908\n22242 30315\n6251 28631\n36337 41819\n79061 81121\n31905 62370\n3326 34363\n9536 91144\n7509 69289\n14068 18276\n62959 80328\n36868 85222\n59414 60166\n12400 42032\n33098 56918\n16474 59846\n10718 92416\n9499 57061\n74112 78668\n61070 76094\n21762 25929\n61013 62832\n15835 27740\n58103 73846\n14509 96246\n16487 75266\n3783 50243\n32679 67636\n33561 69595\n71985 75036\n21892 30593\n57766 89887\n39822 42589\n4724 37879\n23007 45818\n71086 87633\n7939 93759\n6570 36170\n36186 67844\n55747 65960\n24546 56323\n85314 90612\n18910 90402\n96571 96609\n5518 97873\n52252 83066\n27633 84920\n8123 73704\n73465 91512\n101 94146\n53346 66163\n9192 44424\n695 91847\n11792 96901\n68056 81876\n4088 46154\n4168 94787\n22789 40130\n22543 35441\n9505 47048\n72856 83033\n30413 72799\n10562 73677\n9268 62732\n39332 54756\n18011 26712\n82335 87303\n73421 94169\n40515 52753\n13288 95427\n36096 96235\n17831 59076\n16511 35412\n32020 45344\n79563 84514\n45795 83956\n40004 51041\n5435 13933\n81162 92019\n19043 59523\n5846 37912\n51399 62583\n8716 62315\n61112 93705\n2882 8525\n2925 83531\n57148 86237\n37365 40682\n12178 63230\n36855 57640\n4343 59829\n73639 89648\n21675 98940\n30688 63763\n15288 77142\n8851 69490\n19236 59187\n38784 56549\n17619 22492\n25844 45606\n31334 61558\n31210 66595\n24831 41107\n58135 69045\n47065 55987\n3980 69220\n86306 99924\n28718 79213\n74150 88471\n46803 98720\n64 74783\n14747 51781\n81651 89288\n57380 62513\n38295 54446\n33790 64113\n29389 66755\n87109 97380\n22380 80029\n27918 62072\n21310 89688\n52770 68474\n3825 51452\n44336 55960\n50571 57807\n37412 89288\n18948 75054\n16558 85793\n385 79131\n19407 35673\n24556 73412\n45835 57618\n32080 61614\n27387 56200\n4661 26500\n1027 21088\n40323 42673\n54832 93347\n17417 46511\n65393 97875\n26642 81278\n9072 31205\n31697 63089\n33236 65836\n15483 90233\n57857 76530\n68429 91554\n13957 37255\n21008 49871\n60117 60484\n41960 84317\n53224 79938\n17986 42452\n35430 40693\n4616 77710\n30587 34129\n4716 50266\n86806 97353\n22425 48437\n20632 81934\n31626 69046\n67333 73058\n23788 89731\n13315 60127\n22204 70872\n51947 99428\n23068 33224\n60234 96376\n58720 92374\n38641 88242\n41957 73123\n41987 42468\n31412 91468\n58062 98442\n49973 86081\n2754 27639\n52547 83249\n39705 55630\n82127 98793\n46019 48326\n18789 72699\n38390 88319\n77392 96189\n17147 24185\n71959 83068\n2844 81595\n20938 46471\n56628 91956\n8736 61588\n52149 83265\n43099 67886\n18597 31689\n39332 47676\n13500 26313\n7641 63165\n58491 80389\n87410 94741\n43723 72053\n86204 88203\n40469 62469\n70784 72898\n69426 82643\n30524 85787\n43674 62982\n46033 59257\n58948 63869\n85597 87991\n7629 70180\n30045 66863\n62140 93234\n32131 46658\n38583 81124\n29481 88919\n26224 43312\n8776 28489\n19443 44445\n26120 29094\n7546 33460\n8403 94441\n1740 20758\n56681 96272\n2640 51811\n20053 41902\n28555 52206\n12662 80651\n47662 82125\n62728 90265\n9807 29227\n48866 69099\n6331 51027\n63743 94988\n33433 77885\n6755 73918\n48433 66881\n16070 26152\n30242 93639\n23025 35520\n66374 96310\n57900 87168\n90660 99723\n43083 50900\n76475 83748\n4862 53087\n61612 89938\n49530 74848\n36916 44278\n33779 56848\n3279 96603\n7458 53163\n23092 48029\n43944 59126\n74028 88091\n51032 87020\n11610 89965\n29514 37952\n17184 65683\n37370 41989\n23072 83913\n48478 78651\n65357 75160\n29446 64512\n47211 63873\n34885 53430\n62368 63814\n16919 68799\n1208 30282\n31027 48340\n27109 30375\n28738 91223\n12052 30792\n45023 60919\n78146 84142\n84530 99905\n35846 96763\n46924 87491\n24396 51563\n39321 86660\n23876 41880\n46271 72483\n47936 68580\n54674 54679\n10877 52308\n38321 41235\n57341 67269\n41832 56784\n10335 70913\n38924 77886\n98268 98420\n43377 45072\n20376 60116\n24185 90737\n6680 92528\n10382 44858\n40076 63741\n60526 98680\n41458 73251\n17681 59452\n40458 71061\n34875 37706\n23668 64327\n63948 69361\n230 43234\n52336 60241\n40246 57565\n262 80972\n22036 24017\n45590 99953\n12497 60362\n37888 68879\n53701 55026\n49589 97892\n3897 99761\n49416 54952\n74183 76154\n62439 99947\n39340 66249\n6289 56274\n20074 37245\n4495 15745\n19890 76152\n23453 46334\n81932 96616\n96731 97541\n26269 86038\n27588 55339\n33573 97384\n4259 94410\n50239 86416\n45115 92561\n74046 97655\n12435 50399\n16443 54644\n22192 34305\n32768 56272\n98922 99066\n64161 71511\n33966 58910\n11930 50726\n44726 93450\n34506 85900\n27477 87207\n3462 35532\n52653 71932\n72698 85676\n73520 79667\n37001 86683\n77132 80808\n59492 97319\n47957 58023\n9329 34717\n7493 96501\n48019 87273\n49516 59880\n28830 86661\n39899 86866\n36984 96834\n5987 53448\n65724 80792\n4484 11975\n48114 93124\n33884 56308\n18977 34648\n12428 37081\n68507 71247\n53182 89431\n30284 92205\n26 12724\n49452 50247\n37954 81263\n18849 25897\n86944 94712\n36904 85445\n78297 85159\n48495 64749\n824 42738\n37534 87321\n3649 11266\n96939 98201\n14070 87363\n61971 88334\n30791 34195\n19985 40993\n51390 96963\n5538 58256\n73222 86876\n5575 95359\n11359 14849\n20354 42674\n58653 82292\n31071 78875\n18559 63821\n66380 81096\n13540 49265\n31302 96283\n21549 51038\n23324 43989\n28109 57679\n81722 92355\n2993 76609\n13304 49884\n17750 22892\n80480 90810\n23815 84954\n31193 62982\n62625 78446\n2228 75530\n77090 89470\n77569 97590\n17764 70463\n35270 49159\n14312 88532\n4197 98544\n16355 57552\n67275 90140\n11732 36282\n54861 96950\n29575 94303\n30012 53797\n61343 66725\n16752 48610\n28723 67609\n1184 83781\n77720 88325\n22886 69269\n71010 86717\n4133 89630\n2229 41782\n87773 89416\n11485 23568\n47957 99150\n22289 42379\n13898 54733\n30834 80170\n57527 93843\n7633 92463\n57681 78435\n55697 95234\n43526 64213\n34217 63745\n6334 80233\n79778 86873\n22628 93071\n56653 70512\n16639 96173\n10810 64358\n56828 98959\n37393 60335\n31745 99169\n12565 83251\n9078 77120\n65257 67188\n26785 53267\n38857 64830\n79206 93840\n16638 40161\n84519 95918\n27972 40417\n41592 44251\n10167 61786\n65992 89392\n9717 99975\n43303 98399\n43882 75876\n33144 65052\n32478 87325\n42348 98593\n23021 44450\n35351 73611\n44980 82651\n7681 30349\n29352 41811\n86614 90777\n48222 52061\n43967 65699\n16315 86767\n22989 49423\n16223 78621\n62644 90665\n26450 69611\n83832 94895\n8100 44402\n68117 95571\n27757 99088\n3242 68281\n28317 36275\n1632 52626\n41605 50403\n24770 31345\n41081 71455\n10372 73990\n14753 76229\n16977 58191\n16416 51641\n71782 82152\n41976 71367\n3211 40965\n57771 78149\n30697 40058\n20867 35194\n13260 35626\n72450 75899\n8975 66202\n2624 67109\n63420 71828\n34736 78254\n2817 94098\n66132 97519\n24715 72574\n34536 77729\n41577 95033\n85031 95145\n45426 63353\n8381 42549\n2875 82921\n44938 73968\n39134 53951\n20574 61472\n71642 99993\n22772 98608\n16720 64020\n62970 81618\n36107 51670\n64539 66925\n44645 70164\n37623 78973\n68465 76149\n7720 41174\n34292 72960\n7903 51007\n72965 96770\n31167 91250\n56061 94172\n4201 90422\n54714 62803\n26852 79163\n65728 76107\n8776 15840\n76290 79863\n86186 91722\n9111 41043\n61320 97763\n76206 84428\n9937 14833\n16715 91359\n36159 76177\n8752 15120\n6949 40678\n42113 69317\n44164 63206\n3919 70499\n39401 60570\n80057 95383\n57257 68667\n12637 37148\n75562 79978\n12398 20021\n68895 99043\n20948 51131\n62316 93114\n50791 70144\n3714 48466\n78887 83016\n7516 71989\n7792 51291\n67150 67623\n35571 58385\n37867 82732\n50573 97954\n11231 83787\n6492 54597\n29837 74652\n41746 70625\n44116 67266\n56770 76543\n29803 32321\n72352 90384\n64873 84777\n25377 55270\n40842 58835\n47383 81341\n47578 81990\n9383 26963\n44879 93300\n38802 75064\n1440 66349\n15237 99587\n7527 88262\n14855 20226\n24746 75583\n36737 40904\n24055 86584\n60031 96275\n26108 63626\n68408 84937\n9332 81748\n11689 58245\n51998 70679\n30536 79297\n65793 94092\n39316 48253\n16578 54953\n21225 98037\n21886 67897\n29365 46526\n68190 92444\n69970 93051\n28393 30779\n25691 73165\n8408 88097\n70368 95828\n77741 91161\n38139 75842\n22812 42059\n34018 94128\n44662 48255\n30107 69587\n2370 30646\n72505 83706\n60758 98773\n15990 75310\n36627 63662\n33595 44887\n68844 88190\n33361 81643\n13175 61244\n14627 65199\n68569 86538\n39597 66072\n30156 58579\n42912 51524\n35043 58128\n35599 63232\n64967 72560\n37084 71789\n2705 98452\n14251 74062\n11490 58407\n8438 70429\n49211 95138\n14266 91954\n29745 74220\n65897 93864\n42690 93699\n69892 91654\n47097 78083\n48162 94570\n8965 16940\n47584 89462\n35738 69858\n5930 10032\n21106 69480\n3052 49851\n43601 73077\n6369 21323\n14519 85139\n38147 91569\n37076 63515\n18017 53182\n51715 70610\n45120 86774\n20641 78424\n47765 73337\n33044 84878\n20497 76863\n40627 58660\n28090 96675\n37976 48193\n7498 11018\n84963 85050\n30901 94733\n53469 86166\n24804 61567\n50163 78961\n28523 63546\n5058 67783\n1758 18108\n64848 71427\n15777 60887\n33812 72098\n65971 98446\n37249 73865\n39848 48623\n11007 42088\n15524 50955\n2963 41832\n49684 75013\n1226 5193\n84328 93694\n8421 90203\n6166 99252\n69016 96254\n17011 76753\n59097 92808\n11326 88084\n938 77677\n50377 55017\n25395 36643\n9170 89986\n11412 45007\n57358 60731\n70187 90174\n29788 94501\n85106 94211\n17402 64263\n7925 32547\n14303 47974\n21449 35225\n42012 70225\n57597 91530\n14783 62820\n24307 56273\n88033 98035\n3402 80227\n6842 19193\n23569 39312\n4689 82652\n5013 27632\n54753 86647\n553 78225\n13621 28309\n5838 41598\n49196 62490\n21838 25103\n54636 93873\n36353 68042\n36783 94167\n5027 8774\n32058 43008\n14983 26158\n47648 92731\n22293 42501\n5877 96543\n70195 86955\n21949 47137\n59998 90712\n13304 43333\n11587 81047\n48439 59907\n45976 66150\n81232 93098\n35724 91195\n43350 98753\n34067 78434\n59403 74065\n48839 79251\n39504 86898\n28714 62044\n9941 34168\n59535 76791\n3132 10089\n21724 25309\n56772 78461\n49874 89635\n15330 58536\n17727 82931\n53481 66332\n46090 96311\n29593 96660\n27564 60397\n9822 36896\n72259 76530\n11347 90482\n2334 21625\n8980 93299\n41232 58234\n1348 57045\n69524 98009\n59599 74580\n78779 94652\n52814 53634\n82977 91887\n13956 77848\n16200 81688\n9711 17567\n66055 94851\n18448 29360\n14463 17765\n43431 99458\n24820 83067\n4729 30410\n1718 47336\n76655 92184\n18723 20266\n6575 31654\n20693 47882\n11207 81995\n30157 97265\n53099 79704\n19705 94029\n41699 53848\n68117 78554\n627 99230\n56407 86535\n18656 66197\n8959 16929\n19190 75170\n25590 82694\n1087 38530\n35242 67368\n10167 29887\n37305 38982\n53213 80376\n41447 81855\n34418 36348\n1290 73904\n5899 43297\n61768 75239\n67170 70616\n33435 87735\n7925 48328\n5444 40640\n30878 78646\n82182 98972\n42027 99348\n38050 85422\n31473 69132\n22841 51551\n86803 91829\n50418 93554\n76111 93610\n10647 39899\n21953 26189\n42937 66642\n11718 24840\n5685 67413\n1235 21961\n26503 57189\n69874 71701\n11185 20169\n32063 43576\n4394 18185\n44749 50510\n28379 45726\n79215 93200\n25599 69482\n31828 37626\n8998 48081\n14439 34947\n17493 59551\n3108 66910\n58495 75322\n20471 32561\n13455 97052\n28805 78818\n8773 73346\n62889 79132\n20399 83706\n6674 93298\n34274 37684\n11905 54723\n44358 62401\n58926 68500\n38220 38514\n15339 84863\n57832 92458\n33748 63796\n34093 54623\n51043 58129\n830 53480\n17344 64854\n79440 85876\n25949 55408\n29711 71637\n52293 79164\n90161 95353\n48004 71901\n36359 89770\n26757 53920\n60677 70156\n18339 72394\n27975 52468\n69075 77736\n25338 37707\n59691 65461\n30347 68093\n36846 81700\n29779 95975\n38782 64221\n42250 96627\n32528 94011\n21145 39160\n2568 10056\n2330 11404\n19399 74508\n40931 60138\n7084 70316\n12798 27547\n74342 88184\n28506 46756\n7600 11519\n42998 89908\n5496 10617\n11193 50881\n18392 25743\n69978 85727\n11083 97023\n19173 57587\n7150 15137\n75970 82698\n71545 82281\n2373 77912\n37177 50722\n23702 27936\n61791 74639\n19164 95009\n16621 40186\n56886 66715\n44579 47784\n53043 78891\n20811 35816\n40834 78310\n13779 51586\n8794 75498\n21487 27146\n9058 21068\n11675 62396\n38672 80185\n16430 22289\n44449 63228\n23513 65865\n53489 76923\n10388 34204\n32699 50644\n11237 44220\n44085 49706\n83551 99114\n43117 81478\n24820 99734\n11529 49978\n10648 24578\n1230 45166\n4507 99391\n3134 54333\n40271 81756\n10400 95466\n28018 70985\n42271 51947\n60916 81393\n29264 42813\n51623 92388\n66973 80098\n27704 52621\n11271 78695\n1489 25950\n4461 70958\n71868 84637\n5681 74185\n5018 53047\n8184 82515\n38207 64258\n66832 77240\n23 65475\n13422 71095\n11479 14102\n54709 88333\n2714 9919\n71765 95585\n7125 52242\n86996 99131\n40661 97887\n30755 34434\n25290 51464\n45425 66444\n11056 30684\n13571 61736\n3648 16745\n27707 35945\n13897 59365\n32003 67830\n11801 61230\n51501 62628\n11166 63869\n76055 78277\n2951 5880\n2637 83896\n33207 72938\n54052 64163\n22474 71641\n73227 99839\n40171 41178\n4171 8242\n48548 71833\n3590 97597\n7254 62770\n940 76088\n278 93652\n80244 80303\n23108 26769\n21471 55517\n40834 89234\n5444 57646\n55198 80392\n20469 48590\n39828 77643\n12717 72082\n34137 38021\n70657 87396\n45206 79970\n6114 61878\n23850 60872\n57523 96080\n41407 54781\n19304 26973\n24293 26608\n47353 88940\n6749 84453\n19561 87567\n48538 92158\n2665 34960\n12248 62232\n40390 48715\n72157 73040\n73424 82471\n43896 58887\n25553 61743\n2704 83344\n17116 20750\n9685 87635\n282 14737\n89891 99749\n54911 93003\n59084 84050\n42472 52093\n35643 68044\n1877 54939\n5336 68940\n98052 98846\n17465 95257\n46838 95026\n22439 57618\n18549 24335\n97025 99391\n21539 90582\n41178 58761\n66200 96384\n11604 32497\n18833 38637\n89716 93222\n73799 90708\n72951 79939\n9314 86611\n23047 40765\n26827 85738\n4026 44918\n8159 99739\n25000 41574\n12685 28391\n31294 80076\n69695 75942\n22191 28256\n29589 81876\n73056 73381\n61870 76102\n4864 83018\n796 83751\n7832 51027\n67476 82007\n7875 41648\n48762 66316\n24470 76056\n39368 47041\n67882 74480\n49928 63920\n73006 86091\n64584 84725\n16145 44419\n121 56320\n31814 52798\n49104 68743\n43327 71429\n23786 60285\n14894 54287\n56942 73921\n7406 87173\n47539 90123\n46891 53205\n63640 88899\n3849 47579\n50376 54775\n14994 89250\n6020 52216\n19376 48857\n74441 99518\n13843 73400\n34383 55458\n8935 60383\n1034 50108\n7307 13970\n39754 86344\n54137 92272\n56377 89025\n29678 98478\n10245 18208\n80668 94836\n4239 15606\n19948 47802\n31827 53780\n2428 34212\n2974 33521\n73914 74001\n5877 39457\n3511 25838\n48529 55766\n6318 36289\n32885 95457\n5550 18558\n1936 97321\n34408 82775\n89472 93281\n4057 96713\n8180 30209\n15263 45719\n19075 48528\n54186 94437\n15350 68537\n30327 59354\n37743 91822\n5959 9211\n9450 33558\n29016 39873\n34023 89056\n23940 30723\n79473 83029\n4811 87813\n22682 28970\n23808 87361\n52189 58521\n45108 50945\n3588 33092\n4072 17581\n24518 43520\n2895 34542\n47509 87850\n26506 86164\n35048 75196\n712 73569\n55049 55112\n2207 50073\n1196 46982\n11182 70073\n9038 15546\n17475 95203\n29111 77810\n849 58949\n20518 33231\n48966 97464\n6708 8485\n25649 40328\n25778 57743\n42584 94251\n1503 16437\n80897 95937\n99422 99596\n2084 52204\n62004 82087\n11289 50360\n12724 85922\n51825 86796\n9853 42382\n17230 85358\n20892 68555\n5731 86460\n28899 98164\n2559 31016\n16147 37250\n40064 52502\n7265 56813\n85309 90425\n16088 36990\n65119 83454\n16384 38119\n50287 68418\n9369 76407\n96768 99092\n5326 88022\n14015 44438\n40260 98871\n13746 56743\n17130 34528\n46940 69230\n16112 47789\n83772 89657\n46381 54053\n25512 89288\n35643 53559\n51273 71604\n20247 21666\n8519 42600\n59368 88301\n72041 85929\n10518 25333\n11786 22949\n21312 31652\n15402 39227\n22353 78589\n42145 98289\n4505 69530\n76593 80707\n21395 69354\n3541 29046\n20612 32644\n9647 65198\n24483 79595\n44398 81120\n47151 77348\n10419 41571\n9161 92453\n50247 73185\n15262 97659\n4119 74039\n8223 94501\n82376 92429\n75122 84235\n84810 85119\n11608 20943\n33218 56751\n57597 70454\n73264 99009\n23906 76327\n25783 97485\n9479 31682\n5290 51286\n53988 79168\n29348 61473\n42760 73006\n7912 80073\n3723 69914\n49086 86792\n29481 78387\n73227 81230\n19931 80530\n19334 32667\n43209 99712\n28412 93864\n22887 29206\n53268 81764\n62273 69614\n10206 87545\n81314 96671\n26494 42290\n46295 94285\n9344 70601\n70021 96509\n82753 84089\n21229 51092\n1823 70435\n36346 77358\n39403 41097\n16668 81937\n25105 79300\n4121 83481\n76271 93466\n3971 48846\n20920 94682\n79594 94537\n35481 67816\n7927 85816\n11523 15653\n15761 56998\n46253 86022\n66131 77246\n64126 90614\n46423 89069\n10055 98495\n43851 46677\n7839 50117\n17275 78984\n52171 55667\n31636 50113\n14886 83539\n34001 74659\n20734 70963\n34025 93817\n38896 82224\n1460 85682\n33565 81943\n20202 41095\n38129 43959\n16546 39916\n82290 87162\n28066 40681\n55938 93811\n52963 85560\n77792 85072\n263 84481\n25094 87936\n69767 94398\n52331 92565\n24373 74616\n19874 55591\n23785 96239\n81982 95958\n51073 98572\n78192 90020\n1477 77450\n2812 20620\n46075 60906\n30330 65657\n50704 85552\n38790 70722\n36677 70546\n39252 81576\n9433 18150\n35113 85595\n16394 99016\n36379 93014\n70368 91533\n45019 76884\n14712 16678\n874 18039\n69583 90111\n62048 65504\n70560 73476\n5657 92842\n44300 90560\n74124 99803\n67712 99370\n36224 50019\n3990 85777\n30517 55076\n61419 67968\n9554 89390\n92626 99353\n49006 87280\n41375 54149\n32169 66037\n54742 55807\n44137 95171\n11099 16354\n21294 67155\n56140 73558\n34985 64420\n20781 73801\n70375 92537\n4611 16301\n9594 52704\n19191 68801\n1295 77993\n35455 47745\n19637 87056\n5211 40036\n30576 42515\n60831 71240\n18154 98053\n21964 83995\n54783 81833\n14097 42336\n12426 58306\n10382 92085\n9676 87637\n51054 63621\n43037 83461\n23869 31455\n92826 96147\n61006 95722\n46725 80520\n26974 41369\n26843 59302\n79427 81748\n48601 66374\n8481 34636\n32970 67110\n32619 46994\n460 20810\n38109 60756\n66672 98356\n14169 14679\n39422 88099\n65064 87699\n6699 32570\n56070 59209\n48092 95855\n46501 48428\n32836 92455\n9808 73393\n13917 39028\n73658 82156\n57514 68995\n76085 76498\n49456 63395\n39654 98006\n77 33505\n86708 92502\n51724 52555\n15709 61717\n40958 84731\n48088 55949\n83083 88661\n52704 59077\n25066 52163\n6851 17590\n30671 47473\n32983 75312\n53679 94044\n58506 72983\n587 33256\n20425 99278\n69426 72137\n66824 86123\n59537 62771\n22715 96342\n78383 78900\n8993 47295\n54318 63443\n55362 99477\n3366 32231\n38896 55898\n57686 89928\n69935 81126\n96585 96806\n3174 59010\n12984 32665\n27908 88453\n13574 96662\n20322 61740\n20691 61434\n4602 8817\n10596 46441\n18530 53517\n37028 46286\n83977 98889\n15088 26086\n3578 33344\n1521 90694\n8804 82861\n53302 61472\n25481 85838\n40761 41154\n65234 92589\n48337 72292\n12171 36589\n80885 90707\n1643 69452\n1186 37264\n10419 20027\n44325 83324\n30112 46518\n16411 53630\n74454 80292\n10284 13333\n22471 44236\n5583 67120\n2675 87339\n14762 17927\n93957 98576\n5644 46696\n38271 49307\n4052 57515\n44406 75755\n8562 23790\n5571 41344\n1408 43910\n31506 37772\n58339 80361\n20924 97351\n65830 70787\n28792 94537\n68295 83835\n22554 78529\n49964 57256\n75868 85590\n15797 20360\n8662 37454\n9672 54041\n25757 63860\n9783 17362\n6906 21928\n27948 63091\n7836 56404\n4771 38546\n22151 52775\n33914 98757\n19145 61201\n23129 66681\n9530 29580\n68524 90127\n12312 29600\n81152 99863\n10763 20864\n31365 89446\n3888 24916\n76190 84513\n36172 78181\n4291 90108\n73092 99694\n29122 53556\n14998 55533\n8225 87955\n26526 98013\n56928 72780\n22082 33839\n25871 86679\n17896 26228\n47444 67295\n968 3344\n2291 97032\n32870 46675\n4856 88230\n6589 32094\n16951 88789\n48426 82510\n52195 65034\n14634 90076\n59647 73229\n54983 84224\n5531 64327\n23401 59199\n51317 74449\n32274 38612\n16639 19878\n51698 97550\n18802 54958\n12656 54572\n25797 47596\n10083 89379\n82171 89161\n19484 55932\n20638 60805\n19676 50301\n75826 77684\n469 47978\n4270 64181\n43913 46897\n29836 50990\n36682 53130\n7870 28256\n54162 66797\n10330 61226\n21026 78860\n7618 69772\n24245 87758\n74696 80459\n18216 20785\n1986 59705\n50584 96698\n1556 47289\n48501 91232\n56274 78071\n10801 24613\n15815 81302\n12574 95155\n10115 52258\n32109 36619\n37425 88107\n8512 41789\n56546 60451\n55728 59153\n50592 59849\n21760 68003\n8004 22910\n25186 26618\n55904 96619\n28882 76639\n15326 30317\n2336 90459\n54439 73693\n38164 40463\n47320 55812\n27793 48308\n59556 86955\n77530 78676\n1987 88328\n48505 55394\n48425 57798\n47445 69351\n530 8088\n39078 54826\n14717 16843\n6898 97674\n28186 46752\n4129 53051\n3799 40931\n41774 54219\n53870 83410\n43736 97697\n90860 95426\n34879 97598\n65652 78555\n39135 80133\n95128 98536\n78623 91147\n9819 32931\n59666 84927\n20748 49725\n35103 53298\n15807 68930\n28363 63440\n36442 83610\n44083 93527\n65547 69134\n13275 23988\n10284 50520\n73499 93087\n27744 51861\n8869 24170\n3312 23846\n51641 60239\n55206 95305\n54151 79614\n43464 99079\n22749 68973\n23329 66358\n11520 51771\n51831 55000\n40229 87169\n2468 41878\n6120 68328\n32061 91111\n19198 26582\n58717 63346\n11257 21105\n40196 50931\n78171 81387\n12307 45170\n38884 71894\n50668 83409\n1648 94974\n46206 82370\n31410 55367\n31322 82117\n15735 47705\n22448 46284\n58513 88741\n58999 99126\n13301 41599\n64085 83766\n12939 40550\n12777 55912\n5949 24360\n77601 82944\n21556 60689\n1339 65268\n2409 70210\n45133 84209\n66168 90798\n25442 82735\n24283 63890\n43226 74263\n43756 89878\n3220 31719\n66346 67514\n21310 22991\n61683 82150\n33149 58558\n51996 70262\n15329 37817\n23788 29393\n83566 97566\n26666 79339\n87801 90097\n18796 74895\n28691 38267\n40679 78798\n19672 73148\n23808 23855\n31015 90625\n49604 76080\n59935 82535\n43795 72780\n37300 48814\n96063 98657\n11801 46805\n1927 60235\n44106 96969\n27116 75533\n5311 95680\n731 95334\n1061 7160\n43479 83006\n14885 72395\n69890 72993\n18083 80189\n12396 78098\n17640 68267\n13911 81973\n30020 99884\n21099 55859\n37227 39506\n48107 50728\n13722 16486\n51152 63759\n14752 46641\n24304 63063\n19271 61903\n35649 50097\n4915 59222\n6210 30996\n15807 64256\n13173 89322\n49409 60287\n5204 12900\n39429 97339\n37146 62811\n23401 95716\n52951 96151\n75925 82170\n45387 64970\n10931 76241\n7292 77365\n42509 50954\n40181 74422\n17809 39547\n55383 88723\n9509 81465\n19366 53168\n45629 71460\n40775 93195\n21429 31531\n63391 67796\n24442 31314\n89735 96780\n11270 91867\n24477 24865\n348 51766\n16517 51432\n60749 91153\n17326 26962\n37183 91524\n18016 47696\n9075 51769\n41919 82074\n3375 13399\n47933 55985\n84849 87029\n11722 46074\n15560 58056\n13111 73506\n28129 71718\n29391 72179\n32467 53043\n12147 39790\n8432 77004\n55046 97373\n22443 60478\n10942 81756\n25477 40818\n22133 88929\n48613 90403\n47722 85462\n22249 25269\n71886 84974\n31533 54404\n33535 40209\n14650 79920\n45234 61280\n36017 43162\n25545 28711\n18212 26873\n23225 85789\n29817 72326\n13347 91899\n13805 25037\n90967 91649\n35994 37884\n16173 25076\n5915 47433\n8565 78417\n22699 58984\n23421 91045\n10498 88895\n8022 19882\n44995 71848\n75095 92600\n90411 95879\n32215 78923\n66271 99265\n26657 50629\n73023 77150\n13914 32405\n14863 89165\n38629 75545\n32364 40703\n15444 42428\n76144 77153\n62642 63040\n44804 81992\n67889 71140\n354 3338\n14476 22731\n14285 76389\n31449 56938\n27389 28327\n41414 86982\n44673 63330\n15795 65335\n23691 51182\n11546 71838\n66752 90311\n29699 40038\n10192 65861\n21209 70171\n13905 33177\n47934 73021\n41640 89269\n65088 89770\n32824 85749\n24594 48864\n41594 45960\n67649 70574\n40567 67356\n20240 26540\n55631 58307\n53780 69880\n1750 75382\n24374 96772\n64333 85853\n5598 97236\n56291 93247\n46375 87354\n25882 55591\n12667 15876\n38539 58045\n1352 67694\n63889 80159\n59502 59526\n49770 85543\n24564 83072\n23980 78928\n61165 99867\n18943 61718\n50620 76067\n48228 98981\n24245 99635\n42565 93058\n45621 46521\n10239 38413\n52053 99791\n69459 78686\n45149 74098\n35380 60738\n30854 53458\n25328 38993\n5022 38364\n1391 30213\n6505 6802\n22396 45832\n19895 45275\n7268 18364\n34522 71611\n23277 33382\n37735 63446\n23373 65326\n48666 85752\n5034 51992\n12967 61159\n52999 83438\n37668 82624\n7922 45381\n30884 75108\n47126 81306\n26282 50077\n9054 63299\n29352 98982\n17 58356\n64912 66575\n1417 81207\n38456 42676\n47745 71195\n41380 67522\n31356 37256\n34919 96412\n68563 98531\n9318 65109\n44450 85804\n12767 32204\n23954 37187\n29918 98261\n65959 97955\n42378 46051\n26309 87078\n27970 93308\n57135 75450\n30721 50033\n30355 47517\n10550 40793\n64873 85395\n34520 46177\n26352 27721\n23943 32071\n57422 75632\n49362 90834\n73828 91662\n59446 61191\n20103 83013\n43393 76121\n34695 63603\n43758 56827\n46051 47054\n42765 43290\n62367 79590\n9992 47048\n42049 89430\n47265 53077\n66953 85206\n37339 94672\n5150 38959\n14682 98200\n17521 90321\n5639 49860\n25363 54949\n54464 87241\n18703 33373\n6907 78501\n63843 73385\n11890 81364\n28152 72583\n61019 80193\n11995 29689\n93139 98375\n8323 84553\n47330 51546\n42656 98197\n12097 65274\n8644 58626\n37582 91582\n50460 81576\n57381 65809\n10194 65604\n5912 22723\n32113 57925\n51290 51939\n36050 41491\n20146 35616\n19564 61025\n32652 54354\n34805 42794\n29549 42134\n19419 74740\n13943 60373\n28887 43232\n35902 77177\n68924 90902\n53134 95966\n2839 83487\n70927 83011\n5643 41513\n6276 80935\n59585 93900\n7606 93556\n24804 99386\n1252 68724\n43769 88922\n74897 79334\n20221 93165\n83589 90893\n10816 79251\n47321 69581\n24614 31012\n53706 98323\n92650 95521\n77835 95521\n4241 54849\n12985 57770\n58480 85951\n14147 46017\n18143 35803\n62886 63744\n51192 74109\n2402 32550\n32272 91647\n41181 64070\n22837 49160\n15697 44319\n14301 31497\n21514 48751\n60142 77503\n22891 40186\n35201 95317\n10555 75373\n15278 39814\n35803 88011\n1506 5947\n21736 70185\n42123 84267\n33139 64471\n5755 65760\n8996 13068\n52472 64917\n17980 73349\n40185 44620\n7335 65806\n3896 24873\n47076 56150\n42303 70860\n83203 90839\n53 58045\n27772 95292\n80705 83146\n34513 56366\n12888 46791\n4300 26974\n7763 41102\n6741 33983\n47763 49221\n15425 83761\n16047 27330\n77943 86758\n70537 79941\n80219 95338\n27594 98766\n16985 32212\n37465 79673\n84317 94457\n4687 50966\n73998 99910\n31937 78952\n48410 65095\n22828 36123\n91295 98037\n9325 67118\n30113 71933\n18030 98631\n5513 22578\n39066 65138\n25983 68198\n13530 66620\n11214 35143\n67470 94718\n63927 66119\n22361 61349\n42021 96880\n23869 64486\n12431 75544\n34391 66791\n64343 95737\n57680 63019\n35069 58805\n33424 54479\n16468 54750\n35267 48538\n15271 95082\n13040 18561\n41247 59528\n51048 74961\n38870 55115\n77689 85128\n20148 31163\n37216 71767\n20819 30359\n61148 82586\n56535 84531\n33167 48158\n29844 98727\n11492 66568\n14448 40826\n6972 63557\n7409 27990\n2944 96870\n79801 95190\n12663 60422\n3484 85619\n28896 87723\n21230 26743\n28159 37388\n27265 35700\n7099 52407\n37567 70322\n44577 71261\n31000 78141\n43048 63211\n91076 98761\n47711 94101\n59986 80200\n9135 14793\n64755 89085\n17434 77719\n25631 65208\n147 78756\n1642 76297\n47958 78266\n6745 91296\n21162 43095\n27155 98828\n54999 93872\n22087 76732\n75121 96482\n9438 38239\n16698 91587\n6897 71581\n22840 72363\n80852 84337\n19918 90838\n6437 15526\n47413 72853\n8959 43126\n21644 82548\n24743 25202\n9458 89654\n46851 78901\n73480 82532\n65284 72568\n4910 84594\n26128 57503\n67445 90976\n15919 57824\n28644 84346\n31350 75281\n15315 80049\n39605 44638\n20408 31533\n23461 58526\n36275 36892\n7956 25827\n19750 37070\n38583 54433\n21051 64745\n47153 67913\n6901 36155\n22759 48153\n68944 70150\n56473 59669\n20232 35701\n34470 35685\n29367 94492\n57133 78464\n9019 65325\n43399 89677\n6118 51335\n343 39998\n5001 42543\n16033 94435\n72361 93830\n66098 90833\n1937 61098\n26400 57225\n16989 38029\n74709 85723\n10935 94758\n71464 84153\n81610 92122\n1981 89472\n27319 45032\n28536 64687\n24004 30327\n31355 69538\n20412 82739\n1495 4231\n56587 73428\n22263 88811\n95963 99894\n42412 66286\n37165 47419\n21352 45489\n4590 37687\n75888 98463\n44592 97981\n36997 44825\n61033 92933\n7749 50143\n50081 82374\n7265 42507\n42599 88563\n23895 58671\n28016 29727\n15113 37065\n31525 84452\n36292 37792\n7354 64128\n88137 90157\n35174 86433\n96018 97902\n5340 14452\n3839 6241\n7707 99366\n2531 32904\n49433 63399\n28429 37852\n28871 94629\n38933 69792\n85258 90577\n33200 96815\n15347 57459\n13885 40337\n22971 73014\n31084 44388\n72276 83994\n24034 45095\n6385 27064\n23318 90968\n79371 93855\n76807 77518\n12538 88603\n39673 66844\n4253 77132\n69481 91021\n34814 76661\n70188 93502\n15804 79892\n17412 73212\n2179 45694\n28776 29643\n27544 91861\n4120 14890\n6194 24993\n55617 61664\n15242 82209\n42725 62151\n72173 99026\n11326 89709\n17315 94720\n94243 94538\n71661 92248\n17559 41024\n62418 72167\n2724 27680\n18352 55765\n55911 83346\n18387 33752\n37724 85420\n6 13742\n13038 24505\n24566 98073\n56057 72217\n51526 52180\n66657 77558\n10225 10850\n19370 80154\n20318 70702\n54198 82582\n6969 65969\n109 25368\n47205 78978\n69103 72857\n5193 21824\n85366 96993\n20413 26784\n1377 23460\n56734 89439\n23976 35205\n19506 45606\n27679 63414\n27365 62617\n27359 55118\n4999 46259\n53048 95344\n18741 40443\n53457 79822\n33041 96488\n52239 86399\n12325 25432\n49052 98459\n60003 82872\n59504 78497\n79671 84341\n31352 52841\n67111 72819\n51851 86939\n25445 43484\n33417 44461\n40916 92716\n25669 70746\n994 24857\n19879 29962\n50959 57754\n42755 60416\n15460 98516\n24497 58338\n9185 62225\n22965 85197\n44979 75693\n31023 63542\n33988 39798\n11868 93666\n15109 27429\n45272 92965\n43908 84975\n8993 51938\n1271 62568\n46531 59625\n22596 47785\n77524 78059\n33605 43176\n19327 58129\n27515 37291\n41759 98917\n75035 92185\n36000 71977\n189 69019\n21675 57208\n76354 78964\n18466 61876\n55471 77047\n52766 52864\n44024 84355\n39357 79736\n134 12807\n27893 60078\n52225 92018\n15338 41077\n98471 98690\n45438 90532\n25448 82965\n24836 43832\n25433 91520\n18248 90610\n11351 98989\n21398 33258\n1245 18837\n74374 92652\n81410 95635\n2185 31579\n14734 23109\n16528 72219\n48276 87825\n42302 50413\n51811 82040\n28251 81298\n69339 76784\n46864 76871\n4470 17906\n41032 85579\n4545 99671\n70820 90558\n40916 70869\n24650 98239\n36502 82490\n47718 58952\n42237 86363\n25073 38533\n11472 61936\n9384 85714\n85869 86718\n3865 68858\n56967 75433\n52259 75319\n9669 52662\n23467 34938\n13546 95046\n23481 80834\n8427 57034\n67978 79706\n18598 20278\n16151 21948\n3295 17099\n6514 68340\n40657 66415\n4115 43097\n9404 89339\n11530 20425\n30236 90070\n58573 89815\n1953 25302\n23357 54998\n42967 92771\n70880 95676\n16540 22796\n55697 85513\n60229 86090\n14334 27656\n67059 91486\n7725 9145\n4247 31006\n19880 63298\n30874 84986\n13469 81304\n70127 83514\n68114 96303\n11997 76944\n52521 68509\n64357 97553\n53079 85668\n26035 99079\n158 41702\n1467 24937\n66208 79937\n35934 43338\n48874 80517\n51665 96897\n56314 77433\n4735 89396\n28679 93810\n23784 31612\n38769 86548\n52732 78056\n43339 76366\n32890 96263\n22154 48651\n9898 47595\n20704 86709\n75651 75755\n10361 17067\n9672 81085\n49021 65028\n15007 59526\n6138 85485\n18911 36656\n25722 98661\n86231 98443\n58209 69016\n40637 58081\n51822 90602\n399 30834\n77321 83531\n9325 13832\n30443 96548\n2547 62359\n28902 34252\n90086 96658\n5237 76531\n22724 58563\n35339 47509\n84245 92976\n13391 62631\n19666 26066\n14742 56793\n53228 83760\n37657 64984\n2981 43036\n11689 15651\n86465 90402\n40007 76686\n3356 41086\n17054 48143\n43800 72578\n5002 13969\n37662 86440\n43966 66610\n2570 55863\n43879 57865\n2401 71331\n9895 60466\n22234 51110\n53949 64102\n39994 93833\n27275 36700\n28509 76954\n46860 73597\n11768 27874\n988 13910\n68923 97092\n43154 92605\n26598 91527\n17160 84595\n75087 99711\n17441 38924\n25519 46640\n12824 86040\n55785 73749\n35948 40379\n24715 60474\n89546 97208\n436 16694\n72646 73188\n81793 95053\n72040 73999\n38001 85684\n62021 63973\n51684 73778\n7790 78281\n5061 9923\n24094 27424\n13072 44500\n18259 68099\n25848 55855\n51393 68325\n41772 73390\n28120 52564\n10449 15649\n57750 83414\n12277 54596\n12515 93541\n6563 30554\n78914 89526\n44823 61222\n17607 63889\n39594 66656\n10473 99265\n12388 59707\n71259 78047\n30335 86629\n11524 64960\n28322 69813\n45995 76173\n4929 73769\n19701 58424\n1642 96723\n17983 95893\n20647 59141\n56573 70755\n20132 48264\n4752 51264\n19598 49556\n64567 92815\n15610 49099\n10487 57028\n17262 49606\n89282 99578\n22467 89978\n50050 63448\n18938 79613\n18056 39859\n11292 58777\n69427 80623\n68505 90687\n33118 75583\n13324 90457\n13055 76630\n20952 55563\n28861 64826\n14666 83809\n54566 63334\n22868 58767\n33655 52487\n4511 72155\n30640 66809\n17239 84488\n19672 90052\n72145 95503\n10901 89463\n39466 53387\n2687 44889\n40338 68799\n36843 90912\n41610 72908\n17900 50365\n38631 70974\n58872 67349\n28985 89616\n36547 58765\n3664 81765\n52414 84233\n34997 91778\n86309 88288\n61048 62071\n2767 45491\n45826 98960\n4011 30387\n34531 35080\n31182 85878\n53207 76111\n38726 52265\n1442 66081\n1938 79573\n93678 99067\n26686 63394\n24295 90492\n24778 69475\n2945 7474\n90876 93147\n34391 91896\n48431 60301\n87651 88442\n8649 30783\n22882 68340\n52373 82712\n33767 89530\n65919 93271\n39964 46639\n59547 99340\n78489 92565\n39712 76089\n21486 77384\n46083 89176\n22677 95486\n1279 58783\n38505 92387\n21279 52716\n32272 76119\n28956 89096\n29215 51286\n50944 85494\n47454 49358\n37468 80426\n54881 92648\n1525 88643\n1983 57738\n32688 71239\n16926 68540\n30820 51943\n57766 60946\n47526 72633\n44716 54469\n46571 47814\n46177 75365\n21300 51793\n91755 92982\n35931 78661\n41242 86741\n35076 98761\n33790 60211\n7116 41346\n37777 75520\n46085 66220\n14575 85659\n11818 83872\n24208 71574\n6049 62069\n35082 87912\n31678 56305\n16783 76458\n6638 74439\n88971 94507\n24194 51080\n1730 49712\n43097 67794\n48756 71297\n47776 99632\n29260 75768\n40807 94508\n42366 60078\n21704 50660\n58427 87485\n6572 68505\n18457 89919\n4760 19333\n46925 98555\n9551 75451\n67451 69733\n10073 41278\n13247 87478\n10764 70792\n45241 80836\n52493 60108\n14795 62707\n76898 83838\n64638 84056\n37348 70032\n32732 82249\n19828 31212\n32758 72648\n43810 67107\n17748 70082\n55317 85896\n22712 41405\n11331 43305\n21723 54433\n58823 61833\n37369 52022\n7942 19952\n10877 60756\n30641 91847\n11619 70621\n5828 58680\n26954 61188\n9801 95151\n59607 84805\n88311 99320\n3278 20460\n17911 52450\n68134 84740\n787 17269\n21966 78131\n11896 97201\n12629 60377\n1614 41935\n55188 77139\n54757 78335\n42541 76954\n46388 47524\n45279 45370\n18914 74377\n21858 69605\n63620 86459\n44826 77352\n30361 73017\n53805 71583\n25379 92036\n29240 40661\n33234 99340\n52930 59913\n76512 83078\n86642 97370\n8909 16506\n38323 49338\n14045 38622\n80121 86956\n88373 95630\n19729 37768\n82420 93046\n5344 15479\n20694 72498\n65820 98522\n13032 43397\n8379 60012\n10581 42339\n23639 37955\n45780 70079\n1099 32167\n28744 79757\n70734 95714\n26306 88802\n34389 49877\n52987 75399\n43747 95133\n16279 43746\n63315 77840\n21968 29189\n24884 41564\n30828 40771\n10470 25356\n25669 86300\n69867 83759\n17819 26307\n32496 80303\n87012 99003\n52406 53766\n46850 48111\n49535 79428\n13569 83069\n48912 95166\n15932 86678\n39850 72306\n7371 98466\n20510 66644\n81520 95865\n24873 48367\n631 92418\n59493 70917\n34986 69382\n31170 48115\n17999 34665\n69269 95486\n29264 86106\n19835 66681\n38544 46065\n22509 23834\n31818 32771\n31292 54787\n31304 86727\n39338 46957\n20116 74511\n13820 82109\n47697 54139\n94001 94092\n74951 79796\n53381 56573\n20027 48793\n73502 86337\n4702 79232\n8541 18852\n67204 72410\n48373 89695\n45767 87644\n223 7131\n4316 65767\n30728 33338\n26932 46927\n30672 80732\n55489 77217\n45932 96651\n2793 93818\n20594 62152\n15203 66453\n92691 93214\n82615 91204\n26881 69576\n12124 63702\n53820 90770\n69377 86152\n20758 37109\n17615 61894\n17235 35998\n7555 91918\n9410 18650\n30667 32872\n61302 75997\n83594 93167\n34812 78244\n23265 51460\n42494 46323\n16258 63383\n53934 60896\n4321 91458\n70449 98315\n12086 86558\n37637 48442\n15239 71295\n72507 73213\n52080 77264\n44007 93797\n493 99491\n74514 87380\n17833 52434\n33888 84242\n18000 93029\n6303 97435\n20075 24796\n40855 48532\n19721 62042\n730 84513\n39172 54620\n69372 84811\n39059 94020\n53327 74067\n6312 44007\n55460 89064\n22678 81568\n4757 85479\n64728 69639\n22393 26005\n79308 87356\n68265 84811\n41876 68983\n3393 37974\n7621 62089\n55887 59282\n4513 26281\n62489 84436\n2177 82696\n24572 34767\n43475 66207\n23477 70744\n24869 62041\n36316 66657\n5557 79078\n3226 37133\n16939 94208\n43699 93565\n4472 41555\n55658 67173\n58145 70443\n48709 97084\n44125 77567\n76385 84212\n37398 68465\n3979 19110\n3435 35472\n17816 64719\n522 88986\n33105 40304\n13951 76259\n17409 63889\n59975 88160\n40276 97389\n20016 86289\n5472 57957\n68471 74921\n1481 46162\n53447 58673\n22279 55180\n2539 38780\n5970 89896\n36478 90839\n80887 83186\n44779 48313\n1448 26824\n4730 70989\n28705 64818\n14783 80181\n1177 50335\n7023 80262\n28594 80487\n29519 60744\n28094 59032\n3133 89812\n45336 49590\n21635 29872\n46560 90041\n28455 43051\n26105 62624\n81864 87694\n11239 77383\n14286 30767\n22725 69085\n8916 88964\n30673 87357\n8619 89057\n52802 59547\n4073 40250\n14783 62093\n11666 74284\n37579 48696\n15908 21065\n56758 58072\n86660 94570\n24563 25151\n23846 50495\n76108 78815\n43595 45822\n6221 94961\n5320 44146\n76759 89035\n64159 85515\n4853 90354\n60875 98047\n74259 76222\n33326 66986\n5372 54956\n48219 69392\n17417 89850\n33264 49496\n42172 89180\n34911 82896\n19687 27323\n1397 22509\n43061 55868\n43854 62934\n7252 9659\n44392 70864\n17414 78372\n13307 38778\n19090 41277\n58657 85084\n81773 82090\n56062 58818\n12466 85558\n13938 58387\n41835 71514\n13520 75736\n26649 89859\n9358 85467\n68796 69240\n41808 77140\n4031 42295\n911 71618\n11850 68299\n29969 73428\n37939 75668\n8736 9933\n35891 78084\n42865 71794\n67893 83651\n10389 54300\n31699 48494\n32958 99332\n14014 43887\n43292 61596\n64440 72534\n69855 84028\n41516 52976\n82384 96124\n18912 34355\n6448 79703\n32506 76434\n31838 86871\n48034 65673\n57949 64164\n44428 96429\n55101 63280\n58974 61684\n43014 78986\n10812 71021\n30157 97530\n9383 52314\n16021 48243\n1114 21693\n30220 43268\n21980 37912\n25890 71324\n28965 30640\n56067 89420\n28315 80931\n15074 66247\n19104 51090\n15298 99089\n35661 46306\n22392 84295\n38156 50143\n52819 78233\n74236 85354\n5974 50231\n29266 59294\n74671 80479\n32022 51393\n21673 58111\n12433 37225\n38251 65454\n36473 48736\n10420 51322\n25566 82046\n30551 33913\n16057 18645\n31360 38749\n7644 94844\n7575 74255\n52986 53430\n56005 70486\n37582 71653\n34084 94326\n6649 10146\n63102 64443\n4936 18290\n12844 94231\n6074 27932\n27656 79406\n10395 44629\n57 4540\n36353 58213\n40467 91195\n17858 34706\n48752 59581\n9489 30217\n42319 67396\n86730 99305\n74295 83675\n10490 58606\n36137 77469\n83772 84002\n65941 72993\n43970 85519\n58238 70659\n38784 57323\n13643 57817\n8828 74260\n6772 29870\n10177 52147\n28761 52038\n46801 57212\n13499 21790\n13854 17752\n84730 93564\n42691 64450\n18102 70178\n59075 78710\n42154 96002\n18467 78392\n52598 69211\n3583 69056\n30493 46738\n63318 79874\n45994 69157\n5109 60669\n638 5685\n31024 89226\n15273 66050\n23355 86682\n61289 95238\n42921 61734\n47990 73511\n26711 62158\n8719 49033\n42511 71367\n37934 55006\n13751 96116\n53770 91357\n66664 75147\n49614 99968\n5804 82152\n6047 48994\n97201 99143\n43305 63412\n116 21682\n1916 60785\n82889 88999\n27733 70227\n2690 52644\n55147 64827\n43758 51163\n11038 93435\n46150 49124\n43160 45874\n16512 16605\n1721 61281\n63419 95737\n4271 33081\n4996 94740\n27770 33327\n54983 94027\n11818 65060\n3035 23692\n12362 94651\n34283 98111\n30642 40247\n44755 49085\n15430 41255\n69004 90404\n5236 25451\n61503 62259\n70697 94267\n15156 56433\n49004 66371\n23822 26930\n42210 91551\n25243 75499\n29720 76949\n67130 70130\n11788 40160\n77252 95673\n12699 57595\n71338 93610\n70499 98632\n15322 62214\n17575 19019\n37664 90278\n50 16105\n28624 74398\n69261 89733\n16074 20046\n74685 77500\n19571 48387\n67469 72130\n24341 33206\n36283 96302\n11595 21065\n4543 19671\n50266 97676\n46674 67204\n9996 18791\n70135 97806\n30286 87549\n19010 66371\n40217 94934\n4701 69311\n37425 86941\n68083 69593\n56887 81113\n58970 83939\n9359 66124\n2647 86701\n32659 97626\n10845 54067\n14439 82678\n1327 33458\n17924 37956\n9759 18589\n19541 55909\n60481 80175\n35882 75558\n34216 43972\n18727 93439\n3013 71141\n19129 66004\n39521 67162\n22232 72928\n37731 66803\n9918 33335\n19756 95583\n33303 33919\n47315 65018\n68855 80786\n34672 82598\n9296 12462\n14789 54511\n40012 70952\n50503 80179\n43812 73709\n30228 86995\n25944 67470\n26484 91091\n58160 99790\n7298 19388\n55332 68154\n38194 88355\n1373 35327\n12063 33405\n26197 48705\n30873 75597\n5120 84724\n41944 89253\n25717 31264\n6940 71618\n26090 36741\n2093 69640\n6627 86157\n25767 38608\n24359 37235\n23754 68590\n87482 98518\n24687 37847\n76365 77167\n26881 29801\n17381 95928\n39343 81880\n71929 76807\n8807 85280\n27495 30293\n9082 59872\n29437 64977\n15886 97060\n2699 73036\n24285 91218\n9630 47920\n378 13945\n50250 55880\n45234 90334\n22663 31548\n33956 60326\n67683 88564\n36749 60250\n28098 97729\n49 65775\n21249 61506\n18821 72916\n92802 97645\n62343 71433\n26780 51197\n21818 31994\n2746 32318\n4540 12512\n56131 91180\n40375 88464\n12283 96366\n40682 78501\n25242 96908\n14731 17056\n24106 75470\n48932 95414\n9742 53010\n53267 88392\n23381 62471\n25234 70280\n24859 72230\n4024 33435\n30814 99917\n8923 83001\n1768 31561\n56568 69486\n20591 97311\n36625 96523\n81103 96504\n49745 50807\n5448 16692\n43313 99513\n74820 85282\n42769 70554\n28826 80276\n2718 22042\n14975 24685\n56974 83651\n17943 86271\n35822 83450\n14281 54142\n43494 90914\n80174 94809\n48766 62656\n12374 32998\n2841 27426\n29207 31169\n33719 33782\n12275 62564\n21276 82598\n54170 76885\n7631 51746\n51266 68978\n40659 87995\n23123 32923\n15062 87478\n62095 70335\n53275 87553\n47897 62757\n12116 32462\n10543 78129\n6307 61531\n61405 97129\n77700 95631\n59514 73263\n2804 63086\n8421 47164\n86338 86850\n24615 37248\n59496 76978\n26830 51538\n2121 25591\n30952 75386\n3733 36259\n55393 57109\n31421 89419\n24463 47019\n51762 91152\n64010 66473\n8397 30970\n66145 74186\n34433 57528\n7407 94618\n34697 75496\n10177 94738\n31030 75080\n39443 61897\n36298 97287\n36170 40779\n65383 69673\n41672 46178\n3513 32347\n3403 21610\n43115 75189\n8902 43213\n21968 75988\n67023 69692\n1856 10451\n29141 68699\n21944 86933\n19543 82905\n54160 98582\n59704 62429\n25604 82301\n43047 68606\n34146 45457\n13484 19373\n3468 15722\n5307 35103\n27513 99838\n32706 92259\n10989 55900\n17098 73146\n29821 90567\n10662 38603\n65807 91130\n49913 77618\n24682 86690\n96430 98807\n28416 42549\n11663 92596\n11837 47313\n16630 73645\n46451 87498\n28114 91347\n34802 43478\n20352 37716\n16270 34200\n70349 75426\n638 90296\n4325 44549\n9055 77844\n29092 56258\n73777 96582\n70968 81788\n38732 46354\n24598 77985\n9650 25360\n73927 77735\n15032 27499\n66297 75463\n21078 69734\n75241 81120\n8877 29559\n21320 41706\n12849 62975\n57355 66677\n9780 61681\n42824 84973\n44061 79356\n64 95195\n21637 44224\n22460 76177\n82266 82322\n42713 64317\n64393 85567\n18218 26581\n4579 84253\n6940 47796\n19520 27959\n7133 85147\n9353 72910\n25438 70413\n20192 94679\n3486 88744\n24420 96421\n14559 57553\n13903 14934\n61688 66759\n6638 23085\n29659 42737\n3088 57318\n5926 63863\n1547 68379\n28169 72287\n34494 46611\n44202 71565\n50516 75938\n58096 99578\n10875 81715\n18130 83869\n32960 62860\n2786 65486\n66855 68537\n14194 55318\n28080 69995\n46855 53206\n27840 76608\n45698 95221\n13426 41847\n10089 23779\n5692 92494\n39339 52981\n64903 71744\n6907 77603\n44651 95042\n36581 91371\n27196 38410\n52939 78449\n40371 94007\n54936 78148\n2360 50719\n20348 81443\n4007 40324\n7569 72831\n58980 91148\n36811 73381\n78801 82629\n31165 78392\n43894 98148\n43834 89374\n77113 91682\n7712 98823\n78470 79685\n66522 80023\n75023 86631\n50577 93210\n13566 42516\n51463 92742\n67556 73408\n41164 96547\n74330 74453\n15681 69438\n14780 99131\n16394 57209\n33848 73964\n8205 98420\n7973 86632\n31070 52606\n34179 35080\n657 42979\n82527 91703\n2444 91271\n44653 66593\n28740 33096\n48235 76956\n1642 75498\n69289 71003\n40206 93034\n59723 61911\n98512 99049\n21417 38243\n10301 97349\n3878 56843\n39582 82650\n34712 67013\n33128 78842\n28757 81968\n14991 87639\n24814 95603\n46355 86125\n15744 68548\n42387 74673\n9154 33448\n39814 97947\n39806 89576\n64570 87924\n50843 55206\n29890 59700\n59941 92315\n13978 75376\n32624 94341\n44 71976\n21598 40488\n9715 46706\n43404 44609\n6060 89858\n35679 89021\n6549 8315\n20145 24325\n35818 49352\n29332 36352\n13751 32764\n58957 79349\n73314 74990\n8347 61513\n8742 10924\n29350 37530\n14373 97699\n38728 54293\n48659 84690\n9547 70352\n18315 42452\n22171 47730\n37294 99737\n14346 25253\n34479 63418\n11732 31768\n25187 54195\n34395 56841\n49684 71890\n61061 80720\n5360 87086\n19103 69584\n31916 35933\n17195 98797\n8180 72523\n7053 93193\n10778 48600\n8052 71623\n19878 97359\n12656 12998\n10886 81399\n7970 58157\n9622 74011\n2726 81596\n47515 66972\n64354 99140\n25141 43864\n9118 89748\n87528 96345\n31941 38733\n68759 83561\n19406 74579\n14356 55412\n56941 98323\n66715 79215\n61549 84655\n9505 10813\n13406 48037\n22716 65721\n40870 60187\n3746 37206\n62777 77167\n34748 45070\n6983 98030\n17114 97816\n21465 46569\n60119 86107\n24118 31000\n34079 37600\n19001 68358\n61566 87155\n8112 41809\n73374 91945\n23578 63441\n39180 86594\n14678 74170\n23425 66953\n64673 95858\n42881 94621\n65488 66880\n10366 77952\n7634 71470\n58166 59816\n22023 30840\n43476 59971\n16851 59173\n5466 58924\n33635 66139\n71157 85745\n38379 39198\n16566 41912\n89424 92151\n77252 91039\n60906 93935\n16950 41969\n19568 44703\n74030 95458\n14360 83397\n34571 58894\n13817 64174\n79831 98107\n33256 69777\n7471 68084\n15855 32565\n37170 82914\n72990 78133\n20609 63019\n25376 41320\n59055 80325\n56587 68027\n50153 82764\n43044 49403\n15415 95344\n42410 78445\n45861 63184\n18905 53322\n45608 96355\n57051 77557\n3012 52974\n10120 77824\n29633 82252\n23052 94137\n901 92448\n47895 66864\n37800 56323\n41784 42427\n39325 70156\n69441 88845\n10967 70373\n87261 90562\n67080 87005\n19223 93638\n34173 89872\n65380 72616\n36896 73998\n33111 62722\n31185 90644\n48837 95384\n51084 51570\n27517 92563\n40311 72340\n7204 22735\n26057 76846\n43431 99660\n4182 70179\n59327 96299\n3712 75088\n13039 94082\n33487 42510\n71699 95279\n14983 17008\n49121 99262\n3276 35030\n45230 77585\n13819 26736\n58243 86351\n35211 90883\n3677 72909\n49579 56455\n24467 58333\n63681 83516\n24000 83229\n83190 85723\n1521 59179\n6260 51224\n69009 93894\n7569 68991\n34202 91219\n10319 48315\n22738 69776\n51728 99403\n9663 64367\n50749 54767\n35156 99513\n26668 36730\n30999 78424\n41439 69705\n7911 59733\n37022 66840\n16702 98732\n72237 93280\n10434 25505\n18609 92484\n16865 84070\n37385 70768\n9819 17755\n21753 33538\n38834 79457\n19008 24740\n24423 68854\n75956 92064\n42334 66064\n26643 30412\n55260 70791\n53596 56537\n13492 57093\n17195 55170\n9291 48375\n59591 94526\n61358 71267\n26007 80031\n1313 26345\n39290 41435\n12130 60709\n55241 71226\n50525 95697\n12491 28549\n51436 55543\n49898 57716\n78228 82317\n54594 71088\n26819 86194\n32300 43975\n50117 73879\n6528 30851\n44406 69067\n48350 54939\n5690 15658\n75089 82775\n26366 43257\n63673 96477\n23694 37584\n38606 58895\n23136 96432\n94957 98088\n22206 53842\n18052 76138\n40078 56395\n25810 73026\n30557 77790\n18554 49002\n16395 54812\n856 12344\n45003 80881\n75 78444\n6544 92101\n41325 97693\n12819 43026\n22705 49463\n34939 96768\n43858 81678\n52826 64303\n10352 71095\n5742 34272\n3290 13533\n3025 78671\n22166 29135\n85552 98843\n48414 71724\n30936 47713\n43760 78203\n76157 90980\n31103 64166\n3349 68170\n29908 37449\n92831 95912\n60768 95642\n40899 91058\n8991 68776\n23585 64274\n56522 93704\n43458 76741\n4104 5053\n17192 81694\n64795 70498\n69511 94107\n16120 31318\n27724 43428\n83045 93909\n22163 54676\n41599 84304\n65117 76741\n9296 57353\n36246 73386\n6821 92619\n36494 41078\n46334 67277\n62252 65934\n5897 98031\n24892 45147\n4182 77167\n37579 91500\n27051 41523\n59844 99518\n15885 36937\n270 4748\n26232 79653\n53749 80075\n4214 72453\n23662 60579\n10015 48638\n16973 31530\n92511 98488\n34310 85670\n32739 86310\n43483 50093\n30062 86737\n23375 73168\n37349 66918\n62741 85304\n58647 68192\n29433 81742\n15197 48003\n9983 52258\n26790 41502\n50263 54342\n64884 96638\n18261 29751\n55652 91631\n25281 46937\n33373 88649\n33714 99073\n40630 89563\n18521 96128\n51245 57791\n42145 53157\n23523 80182\n70281 94610\n588 80457\n12640 81160\n55992 65957\n4013 84240\n48405 94572\n15886 48443\n79807 97997\n32708 61844\n11674 63063\n38972 53598\n57278 68440\n4629 71893\n20833 32189\n79014 94405\n30222 41718\n28168 33602\n23297 73408\n568 13011\n15106 19486\n7078 79002\n19135 39794\n24524 51104\n38637 66532\n74809 87708\n54792 84362\n67799 99637\n40032 73176\n16178 82228\n58035 84799\n84537 90341\n9093 77846\n71169 97777\n28461 93289\n52844 65664\n21608 80156\n69989 98989\n88541 94867\n45294 85033\n68095 91417\n30015 77248\n5970 47377\n40625 68315\n12030 60888\n17238 93895\n6063 73230\n79999 89546\n9072 9664\n30406 53840\n37000 79490\n19116 99561\n18043 42859\n62760 89902\n6148 44770\n21827 66102\n43773 87729\n21912 93294\n24242 73498\n62848 97137\n7507 22529\n18052 50302\n10889 39709\n41013 52822\n43651 96637\n21275 51353\n14379 56510\n8102 37749\n77282 99034\n15095 86843\n72737 86323\n72961 80123\n43445 50872\n11212 14382\n24725 33565\n12506 46770\n21582 57299\n45650 50848\n58501 83854\n47596 94446\n24498 49854\n61543 91713\n28610 89396\n24322 44582\n65658 76540\n9658 43963\n44452 56845\n143 71703\n7024 96981\n44463 87150\n45604 93176\n837 63800\n66358 82300\n21535 65361\n28781 33514\n39848 69013\n28957 53708\n25637 85772\n54542 67954\n19554 19862\n64279 92766\n48769 82545\n3712 52909\n23104 62560\n16958 17512\n17072 87502\n2066 53101\n10570 36138\n45850 57452\n47380 85922\n3750 27323\n13351 97678\n85433 93545\n9790 79821\n27513 32206\n90921 92210\n41037 43565\n21556 65459\n80927 89435\n37391 39290\n59885 88541\n42300 77296\n59854 88828\n25963 43806\n70076 89087\n28330 32003\n63893 73845\n6324 86591\n70928 77162\n1720 91383\n46500 97827\n3166 72748\n30761 64669\n6308 67721\n12546 12969\n47429 98757\n23579 37856\n1020 56713\n38465 46630\n31000 69872\n13699 71866\n52235 58922\n41064 68814\n1228 23105\n54073 62898\n64689 98845\n17886 53429\n56659 78876\n30652 43916\n28492 72740\n73973 89342\n27580 63257\n53607 99034\n16598 62624\n7850 63053\n16554 34625\n6991 24630\n28903 52406\n30622 40732\n28787 29261\n19529 74091\n59760 79555\n18318 95589\n90572 93509\n75392 94696\n3692 29905\n28185 38015\n57522 60506\n73871 97555\n14201 55654\n37600 88487\n67776 68015\n33419 53706\n14834 66725\n27692 84485\n8833 74569\n78538 90029\n19867 70093\n4007 23371\n10627 64598\n32671 73558\n52389 81682\n2302 28158\n32448 86745\n16341 42516\n4202 20689\n7514 83738\n73065 80636\n52385 64505\n52595 89316\n67245 98838\n28181 84774\n4673 20803\n71098 95964\n14246 97747\n44255 81108\n33383 52070\n41325 71177\n34125 86028\n45889 65006\n6956 62721\n10341 57323\n51382 96490\n8243 90936\n8365 32090\n15388 88670\n55860 70288\n52188 91577\n6595 57586\n54546 95083\n80349 86732\n2106 27770\n21461 75907\n23028 67507\n1965 75933\n46391 59726\n91726 95829\n8569 16063\n48869 91273\n57415 59244\n8930 48629\n63349 84352\n49538 56742\n1688 80765\n36232 41675\n63719 96225\n65209 81844\n26754 54487\n62714 94752\n54189 77266\n4882 73151\n62849 96399\n22190 42621\n16619 84124\n39775 58573\n19790 50635\n44436 49016\n24474 74993\n2742 27869\n72 3931\n47763 75870\n67468 96845\n34068 66882\n43010 79962\n37706 78112\n10568 57096\n30374 59023\n10181 16364\n15529 21000\n77805 77999\n8166 28036\n12933 17499\n43643 81631\n60363 89978\n1402 87285\n26285 69555\n47493 93447\n2914 6292\n7880 87522\n27124 58114\n58934 83182\n60971 83225\n82657 93011\n21629 36716\n55073 78321\n13903 89250\n10569 26058\n26805 46560\n3871 30664\n6317 40562\n2678 12306\n64520 96022\n33211 55839\n20422 80772\n61577 83723\n56928 59032\n80532 87454\n33733 74638\n53660 80287\n11943 36999\n17963 85117\n63072 89494\n53692 79931\n24485 62368\n86844 87380\n7621 34028\n88450 95341\n88473 89190\n95738 97179\n4168 72801\n54423 93655\n27217 69958\n2156 43623\n20216 83480\n52209 64108\n46916 84566\n13506 35352\n32748 72530\n14508 57378\n6499 11926\n7453 51679\n17019 17378\n61708 69744\n19690 27878\n10871 44451\n97312 97734\n1500 56138\n65267 87304\n76940 79127\n13616 62291\n14855 72178\n4765 11157\n46422 50212\n7731 48324\n12175 70630\n1946 29512\n23919 66068\n2001 65200\n20091 34271\n1839 84236\n77094 99510\n50061 72981\n10306 15261\n27860 48971\n51438 62036\n39321 93456\n19127 84346\n34273 41479\n53958 71976\n40195 91028\n74853 85500\n38075 93915\n18868 69570\n974 74901\n22337 61837\n39912 79629\n19958 66860\n88801 89669\n31932 69399\n5084 43140\n11750 58017\n55466 65509\n91179 91400\n33438 53424\n593 55885\n56407 78143\n16541 82923\n23581 23715\n31927 66705\n67014 70451\n41318 94293\n54150 72819\n59794 74384\n47833 98018\n13030 85551\n3844 61448\n54427 68713\n24762 50597\n25568 26860\n5911 77354\n54777 96474\n31056 65155\n13167 22278\n43826 49747\n23232 84168\n67854 95272\n28349 84058\n17011 67083\n258 26514\n67815 70226\n30083 32317\n9550 68799\n80542 99001\n63873 93076\n65780 89126\n17185 84492\n14320 77509\n53934 80988\n68365 96496\n63404 76706\n22191 68032\n21398 39731\n53743 54871\n12650 63591\n25448 40525\n26447 97099\n15223 65874\n3857 47690\n52599 76728\n80535 98550\n2462 77968\n8920 50535\n44292 56513\n25078 31034\n26925 97325\n7834 71828\n24794 39275\n12669 96392\n11981 85374\n57023 73772\n39529 70185\n3692 82851\n56365 90948\n12270 50114\n21513 59693\n17319 66109\n75390 75879\n28660 62616\n80907 95352\n34506 70086\n105 10895\n39438 40497\n14782 79120\n10425 60849\n22211 98735\n27771 76305\n12973 51389\n24927 26280\n25687 83563\n45930 87343\n39287 57032\n15995 95355\n334 67391\n54828 86655\n38564 43154\n37004 72151\n33010 64253\n17922 24959\n32938 89656\n13955 84266\n58900 93116\n5986 62464\n5215 7893\n19630 69075\n41960 98759\n46020 58608\n29330 46132\n770 34994\n13267 67425\n28269 92373\n37000 43567\n75635 88918\n22896 77055\n28873 89192\n12746 21428\n47684 60951\n42292 98141\n55154 87047\n51230 86919\n2999 18604\n22454 99122\n8334 88523\n2310 7886\n12425 85073\n63520 66809\n15155 82628\n34037 65558\n43284 54846\n7256 63014\n14453 99101\n452 32031\n31465 39950\n49850 52897\n39088 98363\n48474 98056\n24227 51302\n84813 88244\n7850 18693\n13939 45910\n38512 41561\n2247 67168\n21095 75817\n32141 32457\n32040 80786\n7675 71731\n2299 66512\n64711 89200\n37654 83399\n56737 61949\n16886 36709\n23643 42983\n54383 99774\n35787 70744\n209 61150\n69660 70383\n70873 71433\n74177 93910\n88428 90592\n12836 58768\n22164 29483\n44402 93157\n3540 58356\n12836 29769\n53090 85815\n7667 18732\n1186 63474\n13305 37556\n24698 50248\n46397 73917\n8318 25680\n27534 95265\n69025 82502\n14839 68245\n53015 56673\n4647 28984\n33341 87666\n43997 63392\n16834 46367\n41874 97044\n41439 88739\n40661 75633\n50644 98192\n44759 52254\n4320 14380\n49929 97771\n26185 57152\n18265 81206\n25656 35067\n22251 34443\n6826 47366\n15506 52485\n62460 84943\n14926 36009\n5133 8627\n16428 69756\n25058 99933\n40884 70447\n23969 68488\n67363 71743\n85676 94504\n49196 99653\n80354 90746\n15935 87481\n66214 94896\n49946 93650\n13658 71974\n74810 88528\n17295 38032\n10175 58311\n43862 54441\n33632 89037\n12105 57258\n34634 84210\n58650 83199\n34535 88771\n675 14390\n3533 18019\n74218 82822\n37283 64373\n40731 54148\n24715 65047\n12494 43396\n12793 28879\n27932 29667\n57496 59770\n16377 38118\n76012 93346\n57802 92044\n41488 88834\n26555 27273\n20468 87097\n37947 64738\n21732 72587\n463 23068\n41620 90214\n24295 64883\n9743 34143\n5288 17740\n61888 70359\n72897 88492\n72702 83835\n10445 10587\n8661 64792\n28396 43034\n55421 75194\n10638 58177\n3182 86153\n29706 35236\n19235 97218\n1351 15834\n88906 92530\n62429 78838\n35425 65530\n51326 52474\n9222 90201\n4902 5778\n10144 14131\n71480 72261\n23980 86435\n84169 92281\n23275 29955\n24322 54118\n8540 62827\n33867 67711\n71196 84186\n59049 72016\n1189 68725\n17893 45183\n72349 91727\n5577 53068\n40719 47854\n63306 94847\n14453 27458\n61926 93434\n23992 78149\n2798 32699\n70667 91561\n13689 31987\n21052 46121\n7418 80317\n53989 72385\n43306 75339\n32214 53885\n44477 59331\n32166 34425\n54872 73588\n57511 74433\n41919 89659\n2334 81281\n5919 23086\n13529 16207\n26054 78912\n22631 36280\n46189 55196\n17591 28495\n71077 94226\n24849 71343\n78512 87215\n41708 92789\n92688 92867\n9089 46385\n9702 29993\n56090 67299\n49757 53659\n32079 58348\n20201 43538\n1635 99431\n33811 41412\n64358 69080\n65464 85032\n48271 90501\n22864 97118\n36512 63913\n17856 97752\n48126 58743\n1544 48004\n38756 58357\n19618 28076\n20862 97656\n15885 99927\n32866 90471\n25945 75463\n27909 49337\n31432 42092\n71562 97259\n2543 5879\n8458 32542\n4228 73887\n2903 60210\n18799 63239\n71022 85903\n31841 81013\n94420 97257\n45321 79827\n26932 45284\n65733 77736\n26222 98494\n7462 57862\n22743 93467\n28253 91211\n32290 81367\n54242 84687\n50792 55683\n54597 56845\n2463 63475\n4135 55608\n56666 62876\n72754 76594\n3612 94419\n36989 61816\n22635 46778\n31363 70046\n5833 8688\n16313 59278\n81431 99269\n51810 99396\n50794 52047\n28812 94195\n51956 58853\n14873 35240\n45107 79684\n16771 69780\n7130 94752\n56632 68895\n4570 96612\n12664 25194\n67373 79722\n33764 93447\n3808 94955\n66974 88996\n55949 72946\n5867 9775\n46713 53862\n12365 80831\n29775 55995\n33976 43885\n23174 70053\n23716 58690\n10486 91832\n4383 69807\n59055 83986\n18331 90895\n20499 84356\n17085 20181\n28405 37969\n89978 98978\n38695 94032\n39135 51178\n22387 76536\n3914 51468\n39989 47141\n35423 89187\n25640 94051\n57938 85324\n42753 47898\n63783 93130\n24553 25740\n36339 86924\n7294 82589\n28034 46143\n19728 75322\n17209 53235\n92832 96411\n35172 79707\n33818 76094\n53375 57677\n24643 86331\n34901 38241\n43321 46317\n61238 80409\n40777 85572\n43233 56785\n11015 77407\n20624 95789\n19919 70263\n6372 92155\n3456 88175\n67482 91247\n55328 82749\n51274 69574\n75208 89750\n18380 78097\n37186 97386\n63625 95278\n63231 74914\n12595 85806\n61540 89359\n21211 75681\n38321 87484\n21056 25494\n38790 53135\n854 11248\n52190 77061\n40015 43079\n7801 37816\n2282 4396\n14896 27383\n67306 81373\n18764 35015\n42873 59096\n97618 99194\n72954 80963\n19757 26401\n26668 35815\n73418 82643\n26862 87637\n7051 30993\n9320 98942\n4283 37316\n48928 96145\n59138 64054\n34825 35816\n42665 80077\n85142 93707\n55212 99294\n79040 92089\n551 80893\n59757 80364\n44815 50077\n38543 63649\n5864 91083\n7999 68487\n87219 96752\n38308 55267\n21921 70578\n5128 8533\n92958 94877\n17045 82227\n18158 58433\n34217 46455\n14015 59096\n7364 79435\n45161 81451\n53496 85667\n42683 44972\n15822 47123\n27755 63151\n23731 96390\n28168 69627\n44068 98820\n34429 96471\n60685 85752\n41104 52772\n6375 27675\n10094 92670\n72824 89671\n6802 11606\n11117 33184\n23501 37064\n36454 52283\n55913 56876\n10826 88531\n57869 86396\n39623 88965\n10195 45182\n21874 48152\n32647 87815\n7016 8263\n19625 70993\n30119 75749\n41512 42827\n76904 77442\n34897 77126\n1039 3498\n1303 11029\n24122 32732\n37980 61610\n18026 37898\n10060 63883\n7750 51253\n9972 59881\n86253 96350\n9254 24490\n35021 50107\n28978 72922\n32084 52239\n67471 68818\n51019 94169\n27265 71111\n24011 70889\n39016 47537\n16769 91148\n70008 71081\n39027 46794\n3449 98312\n38315 56918\n319 35866\n12869 62971\n38528 48552\n40965 54850\n54064 57206\n43286 84618\n83211 86979\n32100 40976\n16034 34044\n7803 11531\n11890 41553\n5085 87213\n47977 95784\n8499 24985\n25312 80185\n22774 98216\n11721 90764\n73994 95169\n26844 52717\n26690 76132\n7761 98604\n38346 61341\n77520 92275\n16153 65928\n4966 74041\n830 51261\n23895 54468\n42180 56760\n27051 64754\n2615 5181\n5833 19610\n27426 28435\n44149 78717\n74343 92868\n31092 58179\n54685 75669\n12992 60834\n17220 55384\n30467 97248\n37950 40886\n2963 37063\n67581 73295\n19219 30986\n50665 84551\n13521 66683\n72687 98409\n15926 45022\n24996 61426\n41097 42964\n5228 52344\n47066 82027\n36628 52442\n21602 60027\n39723 89337\n40311 46472\n20340 80781\n20989 55917\n14506 77607\n73761 88249\n21658 50504\n28121 48733\n7766 56715\n8644 83679\n43252 48988\n71510 97513\n30810 81515\n60692 80579\n61394 89809\n48599 82266\n5581 90172\n16908 37406\n53376 89186\n64615 99388\n60488 78444\n65480 98779\n5247 49450\n54 94265\n33243 47730\n25225 96930\n1869 19719\n50491 54659\n6163 53693\n75587 81010\n82816 88910\n12389 78080\n7555 15476\n5616 60056\n32364 49899\n49019 64454\n86287 88318\n17278 22536\n24030 45840\n14871 31549\n46842 72132\n15606 45579\n50183 55649\n37228 90178\n9996 74468\n2940 12832\n6009 82469\n18426 72699\n21087 26193\n55942 88725\n22539 76792\n59454 59969\n17072 43945\n11527 74650\n582 80429\n30646 68058\n7825 26046\n20131 31903\n5611 23024\n17074 70417\n81114 86058\n26523 68410\n3930 20075\n35886 79055\n8587 57394\n6819 70110\n15379 49741\n66375 77032\n66707 75124\n2985 47237\n49115 55504\n36960 61217\n6304 58680\n18039 56579\n29376 85457\n12536 64170\n29731 65073\n49955 98307\n54861 60432\n47412 95490\n31240 92172\n31411 88367\n26389 48150\n13170 27552\n23113 80850\n4201 83686\n61457 92541\n3917 17017\n19225 46836\n89714 95307\n12555 48264\n20198 80379\n762 96582\n50403 93779\n30230 52476\n1108 21575\n56518 70967\n8746 66906\n47332 83390\n17239 60874\n12585 64704\n47290 70259\n18728 89784\n80195 82991\n12346 30424\n32380 75150\n85668 95120\n60294 97204\n47266 82994\n17982 22993\n35064 44341\n46678 67587\n7234 97697\n23533 77859\n83432 94083\n9804 73441\n10317 67297\n33605 63110\n10549 81090\n634 6117\n53295 98771\n11052 83029\n24434 72070\n38100 58890\n40970 98136\n48169 73385\n25826 94208\n77014 98188\n31413 98394\n18622 52739\n2557 14622\n54007 57143\n70908 75271\n8937 44752\n20300 41552\n8991 71431\n85119 98605\n36618 37161\n23238 40837\n24861 52189\n48364 91316\n33224 69366\n10433 77722\n13383 72314\n40931 78245\n68595 70280\n94477 98109\n56952 82137\n50922 55337\n54691 72712\n3133 75139\n32606 42348\n42518 83828\n12394 95361\n29011 38803\n41694 63967\n8678 60169\n32199 92003\n4520 80518\n13087 27305\n64000 66822\n27809 70605\n28375 39040\n46520 95361\n1262 26859\n26664 34671\n48159 67664\n59698 61609\n12552 94302\n33505 85975\n72014 99716\n61772 82085\n30774 87618\n45901 89664\n10614 85570\n11552 41273\n18462 53030\n33849 37378\n53438 75606\n52768 87498\n3347 28128\n32998 52521\n1439 29171\n32482 96941\n21419 34190\n87998 93948\n14390 49800\n13313 54948\n3534 90040\n34451 74359\n13792 72598\n49561 91591\n14502 90383\n23948 79912\n64541 92484\n65853 82970\n27245 71446\n23989 65932\n91651 92227\n8132 65241\n53282 92893\n42743 69969\n85259 91369\n58461 62438\n4384 13587\n46756 48149\n6970 89530\n55587 71531\n76827 85999\n54153 71405\n39008 48724\n4537 93601\n49375 97670\n46777 82156\n18504 37959\n60801 71331\n6208 76830\n44536 96547\n36034 60031\n53827 60420\n13539 18059\n6154 23675\n9466 81506\n16439 37888\n13029 42483\n88358 97730\n25216 48814\n33062 69711\n26476 55078\n44243 56695\n7989 67930\n29194 63481\n9130 98424\n53418 99115\n15263 91125\n35830 63451\n2783 42575\n49400 96782\n46275 75108\n2019 21274\n13303 87459\n10361 94993\n12944 91806\n25077 32953\n10942 22709\n37793 40018\n47508 97659\n6140 57540\n71102 74484\n24126 26991\n20278 45335\n52350 96670\n4129 53638\n1650 48796\n49525 56888\n31324 39886\n34364 94810\n21704 29757\n5969 45725\n32989 33391\n7702 43359\n25943 54017\n6685 62541\n18627 46478\n26663 81264\n51488 91841\n7545 23398\n999 95487\n7878 54521\n12347 85301\n7831 8652\n1106 78362\n1753 7279\n65904 87043\n61089 81783\n40422 54683\n73722 73894\n24140 38051\n26650 81524\n22187 36406\n11117 95505\n44560 74417\n18975 60811\n25944 38250\n33738 42129\n13645 84886\n30393 94634\n48524 97550\n9551 64640\n14576 67004\n22678 54882\n59177 99973\n73416 84117\n8151 77146\n7314 89773\n62269 68260\n62895 78828\n49242 80002\n12620 50952\n16888 50062\n29959 52999\n69818 91566\n34053 98535\n72191 92641\n75154 92754\n71098 73322\n38671 88394\n72844 94005\n34103 65110\n12002 67490\n51268 67362\n73617 80642\n53580 97548\n38696 99938\n22225 45997\n69496 81204\n27314 94730\n12325 48458\n21067 76633\n11851 44940\n31073 92884\n56240 73182\n38895 91919\n35419 49154\n2288 81966\n55129 65068\n53901 78193\n38151 86132\n356 14246\n1459 31378\n55313 56542\n39 32581\n47477 99964\n19356 46464\n62389 90571\n32898 95355\n57380 65358\n25790 90526\n44981 97170\n26690 33875\n31202 66409\n13065 62348\n26516 87311\n22648 22813\n1767 1896\n4665 40909\n58297 73712\n10894 19742\n21958 56162\n44775 78828\n3701 34305\n23816 66313\n2384 59498\n11891 20706\n41015 64141\n17159 69132\n16298 17823\n37826 99420\n5479 78684\n28057 68327\n60969 85752\n11019 44940\n4626 90296\n59133 69632\n9886 28906\n13312 45195\n26261 77577\n61905 79121\n75961 97985\n58036 79677\n15695 68872\n81228 87744\n45025 91749\n9196 82302\n7276 80925\n2292 89140\n73644 81905\n10581 83653\n24919 45202\n72 53054\n4640 16421\n21942 87014\n18499 70766\n13817 46157\n16836 56937\n30379 80737\n8758 23873\n41576 55523\n49383 58720\n16530 65344\n70407 93242\n48691 72131\n26403 97972\n69218 87671\n38045 58780\n73392 77008\n69522 90798\n11758 40932\n36761 70544\n68425 85207\n87949 88808\n12756 24554\n42217 54523\n81689 91993\n30221 55213\n7400 84849\n12212 82726\n22767 50498\n14131 66564\n64401 65696\n9268 23432\n20011 29990\n41161 76996\n42503 84162\n56809 83625\n23237 82333\n14054 24690\n78025 99430\n23655 25683\n41296 84229\n12684 55803\n9778 47606\n32160 86596\n3876 48064\n52872 63586\n20585 33718\n50581 91831\n10882 63737\n4154 41667\n69663 85227\n88880 95128\n8346 30485\n16714 75197\n39758 95547\n6668 44650\n22674 46252\n83330 96955\n20324 22929\n86294 90513\n22075 77620\n16135 94497\n1628 97282\n260 7063\n49678 86783\n19978 85256\n53801 81990\n42368 87909\n2032 96290\n85428 97509\n57724 75208\n46668 92235\n24912 34694\n5909 60756\n20672 21207\n47761 94788\n36064 48058\n51791 73977\n73577 81515\n47763 82701\n18468 18873\n9347 39301\n221 63320\n3646 69045\n48082 69534\n8552 45068\n80355 97043\n22977 84498\n58476 72662\n44730 48414\n7087 65510\n42480 52638\n24289 71961\n73973 97330\n10634 68055\n33246 91062\n24724 26867\n21380 46631\n14438 82552\n41292 79504\n4980 88916\n85429 98455\n40098 61555\n7784 72892\n18044 66354\n19957 50098\n26315 52597\n4873 38806\n27844 78166\n21207 67565\n11197 88077\n1696 86241\n15618 37781\n56929 71298\n39702 86416\n67562 69595\n72986 82692\n69783 85415\n11154 38734\n19266 24262\n56327 58219\n30781 96729\n6613 13344\n37366 44981\n65922 83965\n80496 82365\n749 43371\n20753 98508\n61427 61583\n3313 41636\n84112 87346\n50793 56727\n18134 36536\n32791 47151\n64063 73891\n53494 57329\n51342 54004\n14056 94042\n79076 98957\n62070 87337\n21230 95769\n52099 55939\n59154 66534\n3018 88637\n65045 65342\n20371 85772\n12296 74361\n53199 75806\n99419 99539\n18141 26357\n70991 87521\n3063 30302\n12984 46227\n33019 68890\n32942 66598\n779 26091\n17626 81538\n10739 45810\n4727 97905\n59341 73584\n24317 98708\n76453 92598\n61579 85369\n22749 80532\n28111 96061\n12858 69771\n37325 88031\n3036 81429\n15933 91613\n35351 54660\n23294 71195\n20857 67570\n62511 84182\n43262 85778\n43065 88133\n59964 95976\n35340 84132\n27218 56562\n5835 79971\n34347 68261\n23824 37497\n2448 39619\n49325 86032\n36181 38500\n7439 54201\n50731 94057\n29760 44965\n34515 86196\n33182 45035\n26801 30910\n27514 36788\n3776 9973\n6352 86928\n24889 95923\n17173 55330\n43422 92591\n31322 71697\n8649 66248\n32794 58670\n50821 77777\n1203 35708\n43007 95524\n44648 88620\n14337 15044\n35886 59585\n14115 77766\n17410 45584\n43174 54049\n51937 94251\n93787 95408\n4157 52611\n50908 64545\n22971 80596\n23437 76443\n104 16251\n28157 42428\n8817 38754\n73880 86281\n2031 75127\n4262 40722\n40467 44075\n44395 44466\n30377 93198\n66158 84003\n36204 49658\n24052 54776\n51817 66705\n10583 90597\n42572 74196\n19813 47763\n62806 83041\n76704 79440\n66936 75815\n17949 71525\n56951 66325\n40925 80398\n38423 79226\n88125 95068\n26448 88442\n53500 63807\n64122 72563\n37182 96650\n61770 66564\n51837 66039\n1841 49401\n66362 87750\n19365 53260\n33353 59520\n3271 6031\n30078 30639\n39585 73489\n43664 64203\n5464 65581\n38256 69139\n3364 41149\n78404 80634\n22853 25488\n57178 72384\n12143 57171\n26258 48758\n11608 84339\n18731 34919\n15284 42330\n14196 49232\n16209 53548\n7556 55926\n49424 54784\n45041 97011\n15386 76547\n44587 78779\n60092 84543\n10490 53637\n13152 80028\n33897 73045\n34547 92325\n5308 23866\n15429 64852\n923 51636\n2370 64057\n51098 81835\n15407 94751\n27889 94022\n21194 38497\n19134 30868\n18982 21482\n14799 91119\n29670 74081\n73673 96898\n18000 19885\n52423 55166\n24571 30970\n61220 89660\n26795 37600\n18458 40873\n9136 68837\n32111 82610\n28362 63821\n44959 52284\n70811 93513\n32940 82495\n32693 70595\n44346 77353\n17738 84081\n23158 63143\n9667 83479\n24967 45298\n32277 32931\n61902 63434\n80194 88872\n34759 74660\n1616 35294\n5236 54952\n214 8094\n78567 83391\n56777 63898\n5996 36436\n28129 89506\n5382 10555\n54910 87429\n72915 81243\n36050 82621\n9414 70451\n64493 84468\n14369 91883\n45234 87672\n976 71157\n70790 72055\n27366 45704\n59282 85936\n88656 92240\n23504 63543\n13059 79039\n18802 72774\n57031 69369\n48014 60221\n24989 42660\n27986 38592\n52586 61681\n52302 78288\n10527 75354\n16501 80228\n50917 87145\n34426 76214\n4819 43174\n5025 35631\n39660 83131\n7962 16816\n4909 14628\n10852 11655\n94060 97758\n31298 54805\n26417 71870\n3785 20032\n31163 75679\n43366 67906\n27401 69025\n41849 73767\n60922 85192\n17322 22665\n32965 92025\n57240 68507\n10765 82673\n29288 82309\n39813 91550\n2065 88280\n30263 31374\n71154 91045\n8954 35993\n7848 10626\n51365 55517\n57208 65874\n17514 61084\n38010 91343\n10304 92910\n15068 39806\n63093 94423\n28597 77190\n6529 87340\n22850 77118\n30290 79247\n75067 91828\n7122 23394\n10635 85284\n28280 61927\n57410 57802\n54789 58603\n38876 89997\n13590 49518\n6643 74122\n47870 94697\n84758 93469\n49177 94052\n62096 95108\n18148 85170\n66462 74513\n15131 43697\n17828 27030\n45819 73507\n56445 99303\n45340 90855\n6205 37084\n66602 75786\n3887 91169\n28142 87268\n61097 72120\n69580 84378\n80519 83735\n64510 72489\n2356 86679\n19750 34515\n71888 95765\n27552 33658\n55569 55752\n53207 70682\n50823 95689\n12224 51184\n28201 58357\n24471 54722\n33355 54174\n13560 92740\n28 55374\n56295 80812\n6373 77107\n7049 61991\n9601 30667\n16267 18258\n15227 39149\n9461 95188\n7731 23286\n22181 43858\n35274 40474\n40854 73083\n15967 45414\n16257 39571\n17372 49051\n79622 82426\n40651 59450\n7032 46198\n10664 99948\n664 36741\n4971 52067\n13285 55980\n31735 51827\n19627 44499\n21639 33724\n6360 51267\n17908 85745\n83493 87145\n32302 33285\n48928 88931\n8076 64086\n12616 86614\n15371 62275\n51445 65528\n29730 49895\n71518 78307\n38820 42690\n38621 83645\n22528 98362\n33206 93089\n2340 5792\n34024 70512\n52954 58972\n8120 65004\n69409 95547\n91054 98333\n63421 75580\n20736 75687\n32177 56212\n18334 55936\n4989 99952\n6259 90125\n28564 49160\n31938 86514\n40517 83742\n15823 99829\n44246 94529\n23311 46598\n15465 53026\n14096 33936\n21608 76674\n47613 97846\n29870 83399\n58325 99893\n14130 81580\n50864 80167\n65967 69986\n21261 69715\n7032 39165\n21432 83759\n5264 77018\n14311 68868\n79055 97819\n24854 28298\n20103 88929\n21224 95505\n2084 84158\n70388 73003\n83164 98557\n65818 75788\n47122 50276\n44370 48442\n17685 69170\n80071 81210\n14924 47036\n19718 46577\n35541 75259\n37641 44567\n2918 22568\n64255 84176\n13038 26358\n45195 53742\n50798 66866\n6327 65013\n1220 63861\n26539 31502\n14292 71022\n9531 61213\n2964 82072\n17532 71632\n5517 27278\n95468 95615\n64175 91233\n33391 62188\n20615 60220\n60837 77546\n61196 71490\n32594 39512\n30885 90285\n10311 80126\n10773 95625\n18416 79570\n39391 41409\n54343 84208\n7390 20028\n15597 84953\n13737 80752\n736 33344\n2328 35501\n5390 62882\n8988 39149\n35869 97788\n3309 34050\n24871 55369\n69104 88651\n54290 79959\n37702 99166\n36186 67171\n25629 41926\n24766 31191\n84955 87863\n17773 28554\n88207 90541\n57172 62629\n50600 91553\n24164 98610\n15631 67788\n8845 57416\n31673 66539\n33615 60954\n59822 86083\n33933 66110\n42503 89774\n10015 82647\n13059 71104\n7268 27478\n26531 97909\n34476 45335\n3293 58162\n81217 82618\n12381 13111\n50420 53507\n74375 85015\n64497 70800\n66934 93227\n17227 26434\n55225 92221\n16183 42328\n1507 43794\n10648 96459\n9281 47649\n34926 54003\n77661 82331\n38669 69938\n16843 39679\n16366 53141\n1110 44004\n34410 85561\n77861 98891\n19486 75547\n43184 48900\n60822 70176\n6533 60501\n66630 98231\n20511 48859\n35983 74812\n67970 85868\n13379 31440\n8987 9038\n87599 96314\n3630 62120\n51265 51448\n29851 44707\n10333 79177\n67034 83340\n59471 76555\n79141 82371\n85959 89693\n40690 61841\n46402 76193\n1352 17315\n10332 65495\n43166 93740\n40817 83252\n63143 98470\n6084 86662\n31343 40832\n2888 23823\n15381 91598\n19098 24040\n75334 92186\n34809 87062\n57826 79507\n12858 51909\n33062 64040\n38 642\n3780 73367\n67560 76277\n29381 84273\n22613 96853\n27311 44875\n31600 53515\n47360 86382\n46697 52316\n4140 48971\n10595 58919\n35009 70684\n38194 79876\n54517 86895\n27746 50407\n6985 78859\n17906 98479\n68931 91555\n17041 66547\n88319 96254\n39803 88563\n74078 75323\n16551 26838\n45342 61273\n29946 94294\n47960 65935\n48382 61828\n3019 44785\n71543 79335\n63330 81875\n33643 34802\n33667 73083\n80136 91396\n7538 41197\n78198 99589\n14677 85020\n5081 42124\n89417 98254\n47027 98357\n42169 54026\n54277 98061\n34322 74271\n16612 74495\n10738 37758\n4015 53887\n74851 77971\n16191 89399\n7890 45745\n88809 93274\n758 79554\n42420 48577\n79741 85598\n42053 93594\n10017 10424\n16739 27096\n17527 30996\n32931 73287\n4834 71521\n13872 57103\n49634 77368\n18250 20780\n45189 79934\n5735 42518\n32382 55562\n13369 84754\n12754 75623\n6931 88390\n37651 46136\n67278 94837\n28524 54817\n40029 93681\n56232 71460\n47934 88678\n25546 64954\n87241 88870\n22208 40863\n64190 78264\n1539 76599\n15787 83021\n13726 21981\n64628 69854\n57689 73665\n2876 26744\n358 45310\n73404 89992\n18091 46216\n37249 77308\n14008 98126\n26019 44472\n79847 98287\n4627 57888\n53357 65048\n5855 69511\n5392 64249\n30998 32777\n1288 93410\n74159 93655\n45028 70981\n59651 66515\n75185 89226\n6821 20032\n5702 46255\n21889 30719\n27757 90805\n76641 81226\n70622 77520\n42310 99974\n39374 82164\n8825 94720\n69945 89238\n32266 45136\n18246 47139\n94023 97284\n10714 12451\n18382 66175\n6085 9166\n5966 56185\n41262 82288\n52249 73189\n859 31044\n53337 74465\n4590 53749\n82978 88746\n17393 74896\n14724 25129\n29035 77937\n92456 99659\n10458 86091\n62570 81134\n263 62624\n26902 74325\n68792 89942\n1167 80650\n60594 75563\n2509 63128\n37622 79007\n31211 72423\n37389 40948\n15392 45605\n49699 85101\n27180 64559\n57720 76460\n44545 57239\n17454 50974\n72724 86517\n48930 89083\n10328 33492\n48499 87752\n279 21796\n49051 66714\n34528 46330\n7984 65865\n32152 70777\n37848 77213\n45927 84933\n28248 74760\n45266 70521\n40109 74328\n26608 27391\n76122 82587\n12512 97358\n80847 95709\n17541 87430\n57577 64588\n12931 14175\n21187 86684\n9729 52369\n18561 61959\n33240 76866\n82913 93460\n8856 41899\n11449 38218\n46584 48916\n29446 88433\n11036 74449\n12389 27908\n53084 55304\n21483 91658\n122 72771\n47690 56136\n10068 81046\n5911 42611\n37407 54414\n33741 68746\n62963 77646\n58354 64271\n52265 68037\n67047 93359\n11249 73135\n66984 83088\n72968 90662\n43491 76863\n58626 71058\n43557 58513\n20156 32482\n88374 97346\n29897 95507\n71006 97890\n39475 53994\n4315 59942\n72616 99881\n27410 31025\n39932 77794\n75747 99796\n36173 71989\n15552 59512\n5984 90657\n58927 80397\n47970 91297\n6295 74019\n23492 71227\n53065 82853\n17283 94095\n7432 90436\n7709 60534\n53349 77032\n44297 87750\n72985 84788\n67438 99677\n11396 42343\n25492 94300\n69135 92476\n14310 90596\n76013 94838\n42775 86363\n70279 99812\n31075 61564\n1563 48667\n60544 95815\n6500 44535\n56793 97590\n43779 99874\n85606 96628\n49816 72718\n47644 98999\n63327 93215\n26630 80880\n13921 31624\n7102 58926\n24550 54588\n42175 92719\n4328 6015\n20432 62978\n1382 67900\n2334 7465\n91210 93138\n2899 75214\n28900 70522\n55336 66011\n284 40898\n24450 72925\n325 45577\n37815 55271\n36415 58198\n79174 79776\n45300 76231\n61197 82728\n36527 93243\n6615 87523\n12612 49022\n1728 5467\n30414 66430\n90583 96228\n3845 45336\n18593 70352\n81210 88155\n7178 13288\n46764 61058\n60018 92677\n58129 78799\n16688 65518\n73672 83902\n22474 60169\n10294 22403\n21009 79167\n14977 84051\n4019 76296\n52690 72986\n45754 60782\n5643 41534\n23276 29963\n10751 31681\n5670 57891\n25068 43195\n89111 91163\n12563 87040\n35509 41125\n4669 40457\n13910 44389\n18612 94173\n3179 86099\n59960 97971\n10827 64846\n5414 72418\n42088 52632\n638 65639\n72267 79688\n58436 65020\n19898 81240\n10785 27644\n15831 55619\n69076 91585\n54999 56524\n12658 17218\n733 6848\n91807 99764\n6254 52269\n30686 69163\n39475 83432\n77432 85146\n73873 81643\n48157 63179\n78900 99766\n24134 74011\n27645 86704\n26869 67420\n14146 73175\n48625 79500\n58953 93933\n71483 82728\n8954 16327\n43902 55645\n18563 69817\n2051 91371\n83803 94994\n850 61659\n3213 85226\n37841 43913\n22656 51404\n74202 81769\n64333 97027\n34577 64778\n29072 64652\n50103 74023\n47518 85643\n1530 87228\n57195 77864\n56080 79754\n13172 29070\n37645 66582\n15153 74095\n11422 21999\n27538 39918\n7568 39410\n53606 87071\n60828 62286\n12460 67277\n13027 83756\n2276 15667\n20825 75632\n69507 92160\n15490 55984\n9816 95729\n1405 36956\n52689 72808\n26210 32027\n78763 82324\n92776 99452\n2983 26947\n19056 95206\n54982 98348\n25709 91506\n28642 83780\n94353 97727\n75880 77050\n380 12139\n3605 81756\n8295 67302\n31936 90193\n22696 35648\n17383 52236\n55132 77867\n26222 70129\n37703 45183\n1476 50325\n73616 79213\n12439 71162\n47139 83769\n56983 97372\n24305 30234\n13172 94566\n730 57862\n4681 55426\n30494 94372\n49684 59023\n22646 51455\n43920 87511\n32533 70118\n67835 72272\n49693 55672\n60109 83272\n48445 53524\n25014 90170\n6457 28726\n4692 28814\n62906 69678\n23278 23654\n8477 66118\n39345 85454\n24212 60297\n32539 76707\n13188 54035\n15474 75994\n19666 47026\n19104 95727\n7929 79777\n42426 54927\n25274 87886\n2046 79277\n13043 73458\n49488 53929\n15944 50907\n28515 87461\n71488 99002\n44906 71387\n21805 34656\n688 76856\n19858 80192\n42441 84354\n3364 16713\n37510 69725\n59917 77278\n57512 81940\n11960 49639\n26643 93718\n14268 82685\n7078 37747\n7347 90569\n51302 58683\n102 82055\n35305 77706\n43061 62482\n16547 85717\n36828 55414\n47224 96214\n59189 78747\n9956 13826\n72140 86094\n48053 90964\n21843 32821\n3991 97360\n46008 94601\n15411 83724\n15607 74865\n48173 94792\n45836 60153\n48212 87566\n6556 52197\n3576 92481\n60059 89129\n7683 14463\n47932 89673\n50723 64406\n10224 91297\n97246 97577\n90640 98091\n77041 93502\n28472 76625\n59088 96479\n38309 77335\n59530 66310\n75521 83013\n23917 60200\n80437 86559\n63890 73934\n20587 41881\n56296 92413\n2426 94842\n1225 68747\n62823 98511\n45402 72924\n9053 57447\n5148 16762\n8137 19435\n9979 68186\n29250 36260\n42993 97551\n32064 78587\n53269 86984\n7211 14273\n35770 37998\n7626 37491\n7116 36262\n6727 76922\n19968 71728\n71726 74177\n20477 96656\n6338 21177\n3593 9846\n20129 88406\n7367 88844\n5294 83814\n6749 33970\n42523 93093\n2656 28637\n22920 99363\n43664 51619\n65601 74037\n85236 97646\n8122 46625\n12975 68653\n51456 81888\n23131 80586\n62277 62717\n22111 32804\n39082 87142\n12038 71221\n46256 66099\n42136 91514\n7786 11389\n59341 97357\n85971 94546\n48779 98979\n29374 34789\n4369 32289\n3728 65721\n17163 27435\n42695 73582\n29748 76708\n76567 99888\n3103 82890\n13469 59804\n36534 63290\n6668 31692\n15579 43936\n6120 34547\n8499 13884\n52887 53173\n56288 76494\n37540 72130\n32313 71093\n16084 22906\n2857 84889\n36897 72759\n32301 54632\n30528 47973\n35403 87552\n20344 51178\n5190 32158\n64505 64654\n19086 24688\n7334 87103\n25270 63255\n15248 75897\n28204 58149\n24616 41503\n31156 58175\n1690 49460\n43894 68036\n12646 56404\n24832 36881\n97440 98692\n45551 46878\n56234 98913\n13690 20258\n42487 74207\n17686 29634\n66215 80729\n80507 86556\n30757 77869\n58813 65800\n6172 71651\n50029 58156\n24762 37678\n40527 99602\n12754 59079\n92451 93398\n24441 88720\n13556 61132\n19957 73266\n4194 88918\n76971 88100\n30574 80541\n35867 93178\n53738 94330\n51099 88075\n65155 91241\n35223 53879\n29914 64317\n46967 50627\n9410 70853\n403 55244\n20488 87309\n80350 96844\n54858 74949\n15429 94693\n34131 85361\n4048 19600\n30648 64410\n10040 59943\n25803 81622\n27807 71880\n4860 50722\n3435 61407\n21842 75738\n58917 69928\n30229 36168\n34616 59096\n28900 45624\n45135 86070\n407 67205\n35076 86613\n66367 74812\n35203 78665\n30021 60858\n44309 75015\n24787 72344\n14349 61115\n68097 79233\n23224 69025\n39381 61689\n57487 96315\n19742 20226\n18432 18569\n11520 29960\n75886 81949\n25011 89708\n9842 67502\n56397 86488\n40115 79680\n50203 72227\n40370 68659\n43755 67872\n13546 98601\n79438 88647\n4606 50632\n46771 59050\n27655 90870\n17792 44624\n425 10754\n43741 75044\n45052 99262\n50367 56091\n2215 27024\n29071 82738\n52709 61346\n46754 89196\n33304 99584\n10661 83325\n7626 12629\n44604 67317\n6978 19078\n1455 22676\n51697 53254\n62041 99767\n39292 83964\n44808 58012\n3566 41693\n16584 95012\n39871 80896\n48431 52919\n10469 23486\n38466 58940\n41878 56865\n72188 75759\n39328 62280\n7210 55995\n49113 93426\n49992 60826\n73004 93954\n63190 78455\n83755 91739\n8691 77610\n6712 8395\n57544 93262\n11969 17589\n4211 70689\n61116 90586\n37361 75235\n21940 99838\n18186 25496\n27032 39820\n80684 99464\n64388 94641\n20888 28520\n53216 90688\n15026 55861\n17288 72179\n22320 48514\n33330 62125\n52949 96868\n47325 67789\n27064 74044\n48573 68775\n25934 82814\n2409 81826\n68284 71185\n32730 51769\n63109 78601\n9273 16878\n49792 83886\n59163 75554\n84020 94618\n6994 19422\n4946 94340\n14880 56126\n26590 81675\n3028 98355\n21109 30349\n73338 74976\n41712 61041\n72404 94967\n9885 62330\n54303 76089\n26613 48731\n21505 40181\n4078 35937\n5307 49647\n2740 22600\n42029 62991\n33634 69187\n1758 61437\n18860 95327\n3543 55177\n22208 70728\n13946 50885\n41271 78614\n13241 36141\n26955 91854\n44141 88016\n21968 64939\n18673 64543\n22764 35144\n19208 34391\n34213 97306\n60588 70075\n54561 87761\n8160 10676\n24103 74436\n31840 89350\n23356 68152\n28608 48921\n73408 99119\n87612 99365\n18420 22320\n70998 76320\n85 38186\n29282 38916\n18524 33021\n56729 81702\n10654 23798\n21792 74703\n65439 71913\n33825 56480\n9297 91304\n82410 94942\n1169 64525\n42233 75145\n26031 73014\n70830 79021\n32158 59579\n60413 68317\n53222 67729\n48916 72038\n41011 86687\n17872 24458\n68191 91544\n2473 64374\n61512 90804\n1406 71109\n25921 68211\n59985 79777\n24645 98354\n46782 66452\n42541 82078\n70348 73415\n3059 44775\n18317 36686\n28617 71265\n1480 53834\n32410 90167\n85279 90086\n60143 97951\n29988 44747\n9610 24038\n74782 82743\n18155 62651\n3393 36735\n26737 31498\n3692 10679\n83732 92317\n41271 83580\n8768 9074\n81177 99930\n33930 68315\n20380 29375\n54763 77158\n2091 54380\n23232 56080\n13697 40149\n10782 59706\n18798 92011\n61048 82713\n2260 74878\n25351 39529\n7895 59962\n56243 67049\n51741 90665\n26864 31178\n30615 90871\n76176 86737\n28331 63055\n68525 81546\n93380 97591\n15993 72139\n33124 94032\n64589 77015\n68997 96992\n61241 99736\n88693 95466\n66897 78303\n34486 70153\n58318 71883\n33056 71863\n25216 95929\n72896 92917\n25071 92307\n224 5573\n44844 45291\n10892 94846\n72840 94062\n15207 93618\n36676 45783\n3864 36863\n54314 84903\n19017 83519\n5408 22411\n34480 97093\n5251 26065\n28870 66402\n18475 70418\n17015 71968\n76382 79776\n63272 65921\n1525 67536\n40494 99793\n64305 98879\n37869 46843\n37374 79162\n6106 13063\n45673 77818\n32875 78506\n8100 59959\n46333 77632\n16624 46778\n2803 66355\n39233 95118\n16142 25090\n56657 79763\n24335 92889\n5032 69830\n68776 74312\n10810 26990\n51402 66181\n19259 71470\n5661 52976\n39774 46932\n13743 61094\n13622 69692\n70401 89714\n81642 92293\n31903 52261\n55122 63174\n73010 88433\n55724 86699\n62367 93668\n26516 68298\n54196 85054\n5202 19041\n29576 29732\n45937 83198\n67786 77392\n26615 37633\n7641 53612\n18001 92980\n24747 29642\n32039 64376\n60330 62848\n34129 61395\n23924 61604\n15214 46898\n40734 83265\n31360 96172\n29987 37131\n75537 95941\n34150 76923\n13957 27254\n13055 36159\n71162 91239\n40403 93605\n244 59797\n23792 44104\n56272 86392\n620 25193\n57078 69839\n56873 79123\n67069 89272\n42393 97683\n5324 66681\n68370 74198\n43255 83168\n53574 57758\n13844 67633\n5739 56475\n61971 62558\n16082 41749\n15426 72725\n21270 78296\n40123 58419\n33570 73412\n27828 30890\n60107 66647\n41978 54430\n40766 67036\n31708 66281\n29403 50765\n21716 60107\n8189 94050\n66858 89340\n85188 90685\n6107 43888\n24887 82390\n70818 74667\n49789 91216\n52039 52212\n8321 27242\n11372 52489\n14528 91474\n95972 97889\n16837 98908\n2659 9629\n13261 24178\n28207 38439\n22870 30257\n7501 71918\n42274 95763\n13657 24442\n47322 75168\n1411 69990\n34699 45712\n5129 14399\n18204 75328\n25211 88150\n58539 75809\n10083 58730\n38205 99560\n49828 78633\n2512 20230\n35334 87511\n25402 41441\n3494 42096\n12225 25728\n19108 79151\n32522 84506\n3130 17177\n23229 39305\n68200 69571\n35097 87312\n35664 51118\n17770 25857\n10727 92925\n23934 94467\n42296 46880\n3544 96098\n6517 83201\n46727 88230\n23337 57664\n22704 51497\n88857 94211\n11894 76824\n27343 66913\n65425 99680\n49036 72510\n43964 90122\n26665 89397\n82006 90491\n31878 84484\n34622 70752\n10377 33674\n18835 81834\n12543 32807\n6513 84014\n45295 67031\n19896 53685\n72625 84955\n36430 47133\n3150 37273\n55130 96802\n10247 67315\n49020 56639\n4081 57233\n59176 61329\n52954 71021\n71303 77326\n23159 69214\n26344 68912\n79770 98624\n33081 62734\n41789 86717\n10564 55589\n6781 88037\n37827 49222\n2582 52152\n12121 57101\n52957 91100\n23995 28133\n34473 73899\n48631 64970\n6090 95601\n2136 58035\n20559 33719\n17844 49765\n50519 72688\n85307 86209\n35221 98005\n46405 96226\n9647 14067\n21917 92564\n26380 61717\n30255 44884\n34721 40645\n63065 66210\n45472 98719\n9715 75451\n15583 63891\n24807 48008\n48357 88923\n30331 91756\n4215 70120\n12893 37222\n21352 85647\n10813 43342\n16223 36189\n8367 38417\n47578 62365\n21353 38963\n39536 63738\n21312 65259\n6282 69560\n40233 41305\n6295 95047\n2555 66121\n50853 54432\n41598 92298\n42089 96319\n62620 97716\n43908 98280\n41944 91960\n27541 44186\n24763 62685\n28832 93856\n28579 55806\n7474 53924\n30816 85350\n16732 73896\n15694 50298\n26196 33811\n71055 95066\n13103 23059\n70708 81908\n8018 41061\n28645 61076\n10590 21921\n48362 65124\n36010 75947\n63573 96120\n8168 89530\n48089 86161\n20195 74473\n4361 70433\n6511 77791\n107 87464\n38806 68914\n9473 51706\n44838 60190\n11553 36483\n35120 71004\n943 24372\n16630 31693\n45204 56206\n33328 78712\n84700 92292\n48636 83892\n29543 43421\n26930 28067\n15932 21446\n14043 85970\n67888 72311\n8939 52514\n14469 43978\n79364 92856\n34393 79962\n44761 93678\n30296 39695\n64843 65867\n13871 54879\n10850 91311\n328 51783\n6688 24634\n6128 54337\n7421 7732\n85079 86407\n12950 58038\n13521 47491\n61513 99130\n51384 92362\n3864 62645\n49930 78738\n6708 99710\n67728 89234\n38452 79232\n60421 88284\n52034 52363\n72806 96329\n22804 71823\n14988 32603\n14206 38773\n50028 79695\n46189 62104\n6663 79436\n15151 49670\n13106 39098\n20441 32053\n40534 95230\n7417 59934\n19772 37210\n62147 95860\n19457 86930\n5496 48658\n73142 73662\n70573 91111\n84240 88860\n24104 71794\n17498 82957\n88161 95914\n34378 39420\n2240 10956\n6446 22528\n69349 81049\n52412 98069\n52856 57758\n32869 62981\n14257 89962\n4281 88997\n58965 69346\n36326 73850\n69271 79379\n61622 89358\n61779 77327\n73828 82894\n34881 42570\n22280 22990\n22084 79139\n43799 93618\n25969 30101\n29448 82881\n7 75579\n8457 60756\n52929 63661\n20838 30437\n25380 66884\n20741 39579\n45543 77773\n31443 66362\n72342 94905\n23330 95400\n29213 78910\n28505 48679\n15774 94763\n73866 82506\n91611 97080\n41455 49106\n27396 39896\n67785 84715\n4835 38635\n67971 81943\n76532 93641\n7159 25433\n51868 87475\n55988 61480\n19317 78865\n23867 39144\n75101 85323\n1905 17117\n17838 81281\n1001 35558\n22130 39777\n7861 91120\n12604 58035\n11956 84186\n20601 92924\n59072 65606\n67506 85539\n64521 67359\n21652 40454\n60561 89134\n49882 69528\n49859 53410\n7036 17049\n44872 61357\n58254 73076\n19438 95903\n4219 86236\n31925 82094\n15041 91192\n15397 37626\n16285 96412\n26920 34238\n9319 28431\n39912 65991\n73711 86023\n44169 47834\n20567 47206\n6357 27073\n15222 67645\n47446 80313\n53535 78891\n34209 88978\n3060 88709\n78707 83978\n51365 69081\n30960 34468\n16084 86253\n49359 97307\n91348 99984\n6068 19346\n16351 16696\n4458 34806\n43991 56444\n39195 80392\n63400 73523\n9924 97423\n43705 56608\n7539 52194\n68427 70180\n89128 89663\n6435 29189\n83761 91222\n14550 59441\n55166 87162\n3532 25463\n36139 94167\n9598 48537\n55622 96483\n84289 85942\n37323 58581\n66392 96023\n82757 98776\n76142 86037\n1432 54437\n60629 74708\n22762 95849\n5955 67258\n12817 81320\n9487 14540\n37420 92426\n7933 52330\n69209 81305\n53675 97162\n49076 89695\n32319 35580\n751 46310\n11112 56342\n70956 91307\n25284 51300\n13380 32694\n37962 64063\n21475 44087\n31554 59709\n7433 18570\n57519 59129\n18030 79787\n16977 30254\n59201 81304\n4322 41301\n21217 60958\n2021 89701\n38602 49709\n26650 84235\n30091 99279\n14617 48805\n10908 60318\n24787 81094\n66768 69258\n6245 18626\n88364 89386\n84781 98446\n6591 63938\n75897 93420\n20596 32468\n69792 74104\n17111 99206\n13258 84931\n114 19454\n75376 92229\n83955 91943\n42760 78433\n80825 83571\n3002 15792\n11804 83126\n9010 74854\n11924 63049\n494 12256\n1991 62522\n25281 38645\n46449 91632\n5604 58671\n46973 74619\n6333 67322\n51206 60406\n23912 72251\n39117 61815\n20011 49861\n66036 85026\n9820 52046\n19297 63327\n50822 75308\n3274 78853\n56576 85846\n7299 95324\n72303 92067\n23214 67034\n9564 45169\n5192 35966\n39905 65055\n59321 86391\n42627 74302\n40213 96531\n71315 93312\n42870 62239\n56460 77067\n21138 80923\n690 86272\n21911 82612\n13323 92386\n22919 31003\n42789 89861\n27643 77369\n54653 89617\n27847 96732\n12710 97053\n4273 49879\n66253 79649\n63734 72748\n66488 75094\n35488 92039\n47477 95679\n28950 99118\n58709 99832\n9967 10307\n44987 49228\n81409 93438\n35787 95728\n42689 88413\n49151 99634\n6729 50481\n58862 86733\n2632 66155\n4771 70435\n25871 59299\n26861 49122\n60360 67029\n29183 38267\n75158 82173\n28946 73599\n18873 43168\n75468 98991\n26380 53774\n83 50101\n1431 79644\n13202 97125\n22102 39300\n47113 82510\n49381 82929\n56521 84460\n43361 72187\n95230 98571\n21109 93462\n9020 27672\n26774 81051\n10336 29656\n44503 72997\n26093 67790\n49906 65016\n32824 45389\n26320 90660\n21192 58953\n35697 74637\n68994 77289\n59313 72474\n67628 71782\n78305 82538\n31363 46794\n85217 98164\n11696 35549\n8550 51907\n46312 51216\n832 51949\n63428 94710\n72354 83256\n35528 82675\n2897 70141\n11581 32853\n3916 58979\n48296 75929\n52640 98687\n68838 70794\n43547 46842\n48277 78323\n18243 26688\n9637 60316\n17669 38081\n62835 87921\n40743 94672\n34389 88012\n21885 66783\n37796 43540\n45529 70813\n1932 74583\n16791 48469\n15227 63838\n31514 83053\n32823 95655\n12387 21183\n20825 26473\n58581 89184\n26533 80212\n1845 71959\n71308 94118\n3466 41471\n43581 87820\n16232 89908\n66434 75388\n14827 80844\n1534 30181\n65213 69095\n53743 97202\n32887 55078\n7307 68046\n36826 79748\n23009 50122\n38539 50547\n24228 68885\n21272 92333\n24714 72780\n76709 86448\n48038 67229\n5616 16226\n26196 36275\n10785 23053\n14324 87417\n10904 77736\n84396 99452\n4979 90989\n70998 91284\n29120 97820\n66369 96873\n10554 49574\n30570 84087\n35252 51362\n20717 62418\n61686 67384\n35424 94020\n62252 66607\n20754 93722\n4348 95064\n30637 35426\n5286 10804\n34233 39285\n66715 69128\n18684 87080\n23490 78645\n23076 81449\n34415 47154\n31423 72142\n12999 49978\n45081 79996\n27621 38331\n32771 66008\n52269 98177\n35333 89723\n21243 45003\n4361 29091\n53546 76015\n29099 91718\n17092 77601\n1673 52235\n3315 37789\n82767 97928\n25617 81311\n43826 77890\n1714 71094\n23715 71027\n16714 53843\n367 16635\n17770 26564\n52486 64352\n28761 78019\n16512 56517\n5283 36697\n19628 94700\n82839 88125\n64202 68520\n20881 27389\n48939 58933\n43011 84578\n14007 88198\n76348 89383\n4919 47419\n9288 59547\n11714 13744\n54123 85173\n32242 87004\n63138 66275\n33919 79805\n26616 92730\n9230 29634\n45385 81974\n6590 12680\n71952 83375\n23112 29760\n48912 61319\n9790 43767\n8478 57584\n52175 89095\n33352 46168\n33547 55241\n35417 77314\n31629 76554\n52444 84758\n26395 36652\n42068 52036\n28664 79093\n10898 40041\n73906 87179\n26863 33504\n57628 66908\n52886 99923\n49505 58874\n25260 98300\n5897 14097\n18361 53131\n62082 83816\n6477 91128\n31129 64751\n55852 68582\n65698 81491\n37769 47127\n1898 25099\n6537 90044\n25285 90871\n30677 50183\n1155 75096\n29693 92087\n31721 62119\n36521 54255\n38348 95534\n57276 57602\n36322 46041\n19343 31253\n2122 98356\n47160 91660\n69624 98658\n65832 84929\n2876 67738\n47588 57945\n56582 83797\n30630 84261\n19960 34624\n32617 54835\n48678 72077\n6867 36623\n24409 45654\n6034 59021\n3633 95968\n26953 71762\n34572 46436\n10954 77424\n1902 91725\n80713 82383\n33882 90612\n22280 35755\n19419 83491\n30130 73677\n29250 46946\n85261 87259\n12596 52916\n9789 19465\n78227 79907\n65452 89109\n62809 80796\n9311 13545\n73780 78804\n60342 87558\n27020 43618\n49795 93759\n33614 93172\n36187 36231\n7320 56329\n12344 79824\n34661 64218\n4374 68553\n71946 86318\n7997 44792\n3939 21126\n45554 84561\n9470 34176\n69710 69750\n4469 76927\n53987 57129\n1196 56167\n39619 81770\n49481 83924\n4154 20100\n75113 78278\n46251 49059\n15810 29914\n7626 41065\n1607 26099\n306 33370\n18594 56166\n67324 70055\n35446 36941\n70897 97343\n43286 61842\n81202 90319\n51168 77498\n11634 68678\n71406 75871\n16081 28498\n19633 59055\n63812 90270\n19688 21780\n49458 51419\n46098 90443\n85696 95287\n22435 52526\n4162 78897\n48934 57639\n27899 64740\n18406 38661\n49660 78099\n32621 40972\n931 6865\n31041 50294\n31315 48821\n3948 37666\n11634 89491\n54325 63666\n16574 23924\n41695 87584\n17304 53306\n62918 78532\n17960 26732\n34607 65552\n42159 49849\n85401 97562\n48689 70835\n16589 81913\n9031 48006\n24428 43053\n44329 58512\n59713 83896\n4377 96847\n9482 57328\n24582 75437\n85755 93219\n35563 84746\n8046 48346\n4212 75403\n23981 85830\n69250 72795\n52895 69552\n44025 89934\n57566 83424\n51857 78152\n3033 26399\n29635 89310\n24353 94400\n15032 17795\n12732 75172\n36329 81301\n18634 40336\n53918 75125\n15937 56684\n21353 39167\n64643 92840\n44050 86244\n46122 96385\n3873 98423\n48017 91646\n54695 57296\n19908 31268\n35769 83760\n1213 7559\n14423 23074\n79199 93328\n1388 41569\n23819 92382\n6969 31795\n14567 18047\n25204 95641\n25519 97286\n33660 85034\n26997 69098\n11204 89402\n36855 38050\n29748 47967\n19054 27812\n93273 97048\n34874 89371\n60771 66907\n1071 62107\n61294 79281\n28322 96029\n40747 91385\n12245 82749\n48873 76703\n10547 97138\n10497 24047\n1309 94556\n76222 99043\n7621 53351\n39494 94257\n3320 65304\n42426 79480\n80391 88353\n47257 63398\n17882 94580\n35193 84463\n54024 90796\n51447 92085\n60898 81575\n35911 69039\n8078 79841\n9163 85869\n35251 73315\n66117 77597\n70185 84042\n58083 90502\n6427 8479\n847 29888\n30245 30768\n66326 75627\n53392 78873\n32576 38168\n26832 89966\n21826 36837\n71424 96140\n8581 73093\n20350 95955\n35584 80183\n12048 28634\n13617 76668\n38162 63585\n40400 85893\n40470 83209\n26455 73912\n82444 93899\n56371 73440\n50382 68398\n42877 60338\n37178 97807\n20144 40515\n20170 73167\n17256 45071\n2405 50432\n41114 54104\n15043 88583\n10095 55538\n13523 74785\n22663 77609\n9381 16610\n8561 42690\n46417 85365\n5526 75613\n72998 89601\n59124 87088\n48865 50799\n15888 83390\n4452 25043\n94437 97712\n6348 61190\n13109 63170\n93934 98604\n36971 68670\n170 82272\n38920 99150\n40755 68738\n25220 72747\n58155 76010\n78578 87596\n16340 80689\n718 31841\n53907 86046\n4226 14978\n8849 28831\n44567 87832\n6210 81614\n11576 59515\n68422 84821\n39869 63123\n28989 73211\n23320 25708\n94738 95226\n47651 85372\n50825 70077\n68331 80248\n79157 85816\n41436 48682\n31436 43392\n7938 87698\n57226 67827\n29471 34526\n43609 80750\n7282 9760\n26989 75498\n20407 62861\n14912 34047\n22152 53075\n25687 58088\n15187 76390\n7885 36151\n28349 42873\n53487 84936\n65976 86477\n57547 68751\n8277 50688\n9047 56671\n41421 76929\n31986 74194\n11489 60403\n37867 84567\n14815 63069\n28599 73609\n63619 92510\n22053 69168\n15786 83924\n13230 66128\n27348 90811\n62301 99542\n12501 84995\n34456 85203\n28779 33881\n51761 57776\n76929 87731\n35745 75422\n32655 44849\n48441 96644\n10239 44546\n44845 57383\n54186 83220\n32865 61374\n13836 73355\n64750 74018\n42860 72758\n57762 71179\n77861 78572\n7525 91075\n33665 81060\n35243 91695\n15600 21293\n14636 26345\n29722 92196\n53758 61576\n38891 95404\n89950 94793\n80757 93332\n34244 61089\n10927 14780\n11614 17423\n19954 47125\n47875 51854\n43141 44217\n3546 71206\n54556 64854\n42406 48635\n16473 76835\n49398 79172\n1349 74036\n30260 84365\n12564 84535\n38730 46636\n13014 86108\n9915 98034\n29302 94151\n65904 93438\n47351 49937\n11764 19364\n13385 36740\n52745 53046\n71177 91498\n43923 75479\n14050 35679\n93569 99233\n960 25342\n31479 93352\n37837 82555\n62187 87217\n15940 48411\n60954 86627\n20587 84197\n77643 81087\n13845 19895\n53061 91028\n38706 46479\n10557 48094\n18239 69400\n46979 64598\n5097 85287\n60364 81390\n9781 98077\n76452 89259\n38039 59655\n15450 58779\n52503 98718\n44081 89711\n35526 85783\n39129 60088\n80470 87688\n54974 73931\n13374 34404\n86767 95881\n3623 55838\n87937 90625\n80283 97536\n50743 78864\n5672 34043\n44139 69744\n92969 95992\n8699 22622\n53414 63973\n8459 96341\n1268 98413\n3433 69442\n6085 51863\n30004 42463\n41254 63740\n26264 64346\n80018 83740\n14040 99617\n5439 98969\n2670 88925\n2768 19387\n60275 83152\n26224 93262\n7687 11083\n35478 68344\n9536 66276\n1389 7976\n5278 70681\n28644 88723\n20606 44563\n1669 65055\n9232 94679\n1362 96658\n3477 30393\n48188 57441\n8453 79129\n32912 33588\n61862 80208\n2302 18155\n74450 77762\n6123 24175\n76468 98246\n31857 94912\n63198 66670\n2793 12444\n47091 63243\n17069 59586\n55262 70618\n29529 31250\n39103 60046\n77371 93877\n55097 98020\n53138 65100\n49511 55678\n17652 64348\n45242 90705\n32734 76565\n43817 58686\n12954 86266\n32060 89127\n14779 15956\n40273 45936\n477 18812\n41712 43086\n83847 92818\n13699 61680\n74324 78128\n32579 99454\n31553 94669\n25724 36522\n55027 65606\n77756 81008\n27661 36301\n52993 81027\n12401 53658\n8050 38464\n13441 27430\n17013 25586\n15051 84623\n61696 93185\n75244 97247\n8190 46022\n84455 85652\n59229 69208\n68087 74344\n93143 95534\n22572 77512\n82901 83757\n62780 71021\n75782 80423\n8465 30469\n64141 92608\n22745 37314\n26998 92680\n6782 60002\n1469 14878\n5112 29624\n10279 64215\n39216 61471\n32744 80428\n11507 91127\n8359 99430\n47916 76909\n50226 74135\n16922 66416\n50665 93284\n14834 54136\n59692 62644\n26979 98970\n41135 56967\n16096 37845\n64132 65492\n47878 50307\n48073 68346\n37571 49104\n50260 75720\n28320 91055\n10853 44108\n2408 35622\n27422 27990\n17090 27227\n28950 80713\n28795 66826\n479 75595\n42390 93244\n1757 38834\n31360 68889\n47932 82196\n50146 52139\n23459 44413\n41471 92099\n12206 38149\n50907 75668\n1469 32565\n15109 51432\n16125 33007\n14279 47760\n42126 64504\n7080 57782\n74540 76732\n18453 96879\n13965 31352\n16489 76809\n2435 71052\n39586 68350\n4985 60976\n22408 62687\n46357 59584\n37765 78881\n46089 94919\n36916 87115\n29881 75052\n35124 97412\n72725 88173\n70337 89638\n10174 19188\n50586 84936\n24902 91840\n2898 72817\n1044 64273\n6140 27929\n6760 35387\n17615 53889\n28531 56190\n83968 95650\n86529 88159\n6867 36921\n71891 94718\n43371 59719\n12944 74624\n52116 94913\n47567 51562\n56937 80255\n26292 52627\n42763 44952\n10088 27178\n46982 92198\n24953 60306\n1104 19363\n26301 31614\n48439 67831\n65476 83115\n32207 93217\n14254 20925\n62778 84129\n26870 74518\n2421 97457\n26636 38003\n66902 83729\n36146 74978\n65693 65752\n55344 70235\n60717 66553\n13323 88547\n33168 45262\n24883 33752\n11237 70805\n72351 96932\n3527 6904\n948 61100\n64261 86996\n26608 63009\n48483 65433\n36525 81906\n1741 10498\n22431 45648\n19439 37353\n42340 59883\n54943 94412\n45314 58372\n32931 92074\n54343 61562\n46008 76723\n2414 71687\n8101 38477\n15922 88051\n12901 93470\n10834 24058\n74815 91567\n1771 59838\n29732 91869\n38988 82012\n31237 89187\n26938 31977\n86228 96463\n11046 96123\n88519 89202\n24834 30245\n32776 78466\n13889 46845\n18901 66958\n1910 12425\n6484 94232\n1924 48108\n27852 96351\n1894 79069\n61721 96947\n46685 93245\n26130 80304\n67631 75373\n31832 59282\n55574 86281\n56893 71836\n31785 57277\n13843 31254\n91608 98297\n15416 32752\n52151 60772\n4165 92415\n56852 86370\n43191 90015\n25551 47531\n18500 25611\n40064 82366\n42128 44175\n30189 99584\n21636 28469\n17476 91574\n33854 59246\n23531 41957\n7165 88174\n56730 96538\n29389 30493\n9476 90014\n26733 67296\n4456 91420\n41185 61493\n31539 69689\n4293 68534\n33885 40789\n44687 99454\n15871 54508\n83224 84109\n19370 97752\n26362 57441\n29602 34079\n47679 68762\n46542 89782\n23335 58349\n15312 98262\n56752 60153\n14975 86061\n55049 93713\n38984 41833\n13335 74821\n60326 76360\n69578 85654\n52672 87422\n1636 83142\n43613 62922\n4321 89512\n58030 76865\n10788 74696\n20145 29544\n63991 72798\n23604 34174\n1970 78096\n14442 17897\n68009 86682\n30105 48248\n48291 66250\n48193 96783\n44882 54481\n51499 51772\n24613 94628\n58912 79040\n3424 92042\n76636 88098\n31173 71900\n24913 86501\n42258 54391\n61138 74967\n69 30746\n39908 76870\n63089 84296\n63497 78806\n58949 69307\n65760 69963\n6436 90103\n30027 92825\n24019 93840\n2370 50753\n55022 95853\n42643 94461\n5142 22859\n66513 99285\n77376 98222\n42500 66390\n5677 64689\n21148 76697\n4984 32982\n37623 95015\n25535 50428\n59489 88875\n37763 50202\n22621 50519\n30400 33088\n480 48253\n6184 45505\n30548 68138\n8283 25951\n11374 92501\n33240 52050\n42782 59631\n58355 92097\n21431 89426\n27677 91181\n32744 71243\n87155 92554\n16899 38240\n34092 58033\n20427 70514\n23014 40273\n14670 90697\n10222 16933\n40075 96866\n20936 48951\n26804 38108\n26262 32452\n21413 78812\n6404 69579\n63400 66289\n85133 89825\n28141 41958\n27526 38111\n34689 47435\n6315 52923\n74085 74122\n8564 80217\n58851 95005\n9992 59856\n4852 37883\n27272 71847\n18424 58632\n21330 58085\n12294 74555\n23978 27119\n62257 66235\n2967 73281\n37913 53397\n44298 76437\n10970 79670\n13585 71291\n28427 74508\n81347 92702\n43180 78166\n44895 85477\n28023 54105\n11056 89853\n28512 50040\n33332 53536\n15899 87538\n39904 79965\n24057 26395\n32667 84174\n23338 64299\n57242 74665\n63662 97191\n38662 77946\n67690 76387\n47376 57607\n24317 68002\n51810 65725\n70682 70734\n83852 96769\n14789 27142\n3084 64443\n62882 95741\n66932 90972\n56859 76988\n60332 87173\n19056 56065\n11662 86956\n11094 60438\n35497 83977\n35998 93361\n11625 66466\n9368 60468\n38914 88671\n12846 95024\n49158 53779\n13301 70372\n16704 53254\n28828 79402\n8503 37032\n58698 73634\n17891 28404\n7585 33184\n64447 96014\n14622 68710\n534 87134\n7595 54197\n16517 79148\n20198 48890\n32663 45602\n17755 47121\n63790 88654\n19901 91535\n13863 34744\n50061 88108\n30551 88593\n3314 40811\n68251 75511\n17211 51282\n1180 69214\n15250 26072\n30428 69712\n13772 65235\n1042 96623\n11808 99305\n30549 85947\n17412 61295\n60504 69952\n18157 71199\n10200 99362\n37896 61522\n12867 74180\n13295 56533\n66392 88965\n63812 99782\n23983 61428\n21665 86076\n33295 97721\n14409 75475\n47407 91967\n9302 39339\n2570 48249\n16503 29355\n38375 45091\n5388 9675\n59257 80076\n59651 93411\n37502 44527\n44770 67060\n62838 77417\n52390 77244\n4969 59525\n8379 80286\n57892 68325\n79202 97171\n3677 86702\n69917 90462\n43131 90360\n6763 25520\n33074 85377\n68196 83904\n7805 97768\n32465 98303\n44326 47598\n76161 91263\n42622 83252\n89508 94313\n38606 78000\n19582 79467\n25384 84638\n21771 87132\n26503 80953\n65093 65744\n25050 28891\n52240 75050\n82244 99662\n1772 62336\n11260 23779\n67182 96737\n20229 45893\n1714 29433\n38923 54145\n35186 49636\n5050 25225\n39017 41938\n28386 45050\n34892 63003\n33715 44223\n71843 75086\n61910 81225\n13123 56892\n31931 36110\n14013 50711\n36988 63595\n38913 43176\n51635 54060\n30555 56267\n26471 97866\n13180 32140\n94293 94646\n67468 74476\n12378 24363\n57677 78166\n49936 83644\n79046 97040\n58634 94058\n48071 73567\n28181 37293\n7946 36288\n12569 37653\n27813 97814\n52105 66038\n23890 42620\n2094 72794\n76764 97506\n73257 87050\n13369 72202\n31433 40899\n27226 69073\n32863 85362\n12145 84483\n83161 83241\n7767 39772\n42229 78456\n27005 43983\n76996 92216\n16097 30769\n8976 81711\n8000 16649\n9823 35892\n38721 48036\n7823 42291\n51926 79118\n40822 84814\n40651 59335\n6241 96417\n24209 84429\n74601 79696\n7815 68998\n11346 98382\n42285 51100\n31203 57089\n92371 97483\n92823 94314\n7505 25901\n80528 80652\n33427 36673\n57157 71935\n96080 96758\n71417 85602\n12874 39782\n13470 34347\n85657 93363\n17974 37359\n27665 31989\n26036 89337\n18369 23265\n43480 85370\n77624 86340\n60235 80657\n30827 93528\n3288 96364\n33257 98070\n33954 64353\n44503 94544\n26432 94727\n65226 96359\n32022 54604\n14802 91206\n19479 92396\n31024 99424\n11421 97577\n94904 95988\n79263 79435\n29544 87090\n46226 79653\n12556 59373\n6519 64729\n690 66370\n27691 38373\n39029 49550\n49243 50968\n50798 77070\n18416 92708\n63 21317\n17346 75257\n34171 76979\n6106 9230\n71504 73868\n93578 97494\n5261 36587\n42246 70820\n15184 90419\n14858 53681\n31269 95539\n56182 68200\n39767 71957\n25175 60028\n12643 48080\n2994 19278\n6599 28608\n80723 88826\n23871 49464\n5241 70947\n4983 38330\n91877 94359\n3517 10768\n60346 91793\n16263 31922\n18176 56194\n1744 8433\n54689 79628\n27137 78435\n8147 9801\n25335 91204\n27877 47981\n53480 60632\n5638 96312\n47984 71461\n45078 62741\n65848 69387\n34162 83684\n30957 68914\n912 7082\n31795 56794\n26137 72402\n17297 60659\n84573 99486\n9727 87121\n15240 22711\n1543 56730\n16681 80477\n80894 88932\n18588 93687\n23403 79838\n4346 45994\n51201 64887\n60170 75956\n90792 96406\n22972 93584\n13770 31537\n10120 49059\n43577 94076\n22056 26698\n392 30998\n62375 94926\n51451 66486\n7393 37577\n53955 64750\n72550 92106\n48611 90767\n51381 81799\n77733 98791\n35190 70828\n13687 36068\n25906 98617\n4668 57902\n73246 88293\n9588 71733\n58770 75685\n41586 51329\n19935 28864\n62542 99996\n52290 82869\n1234 35516\n3093 64845\n14389 14596\n14153 54208\n62396 96570\n75710 86604\n42043 99050\n63799 87200\n52553 55458\n22230 49187\n19372 63540\n26055 38483\n4327 66648\n15966 48216\n41906 47959\n68582 85685\n57820 80071\n18508 51072\n23163 71239\n62573 86184\n20776 67464\n33840 64566\n15162 49765\n18855 88693\n15376 85023\n54367 54929\n46041 54354\n27874 82421\n7595 23345\n6921 89822\n83043 87933\n14753 99754\n23627 44500\n5911 38904\n23321 38074\n64126 88803\n88584 90127\n39265 75805\n25645 83826\n20289 34524\n26986 27107\n57675 92711\n22547 55037\n7092 37142\n62752 89541\n41038 63388\n58027 65736\n28267 51229\n90483 91375\n33687 37267\n31146 51067\n37775 63596\n53925 99604\n66341 81612\n40467 94993\n36221 64048\n46660 52762\n47528 59767\n4355 10146\n25100 29337\n79267 98447\n63307 63615\n65022 73256\n50229 61720\n9944 63523\n34186 45772\n50370 63667\n56763 76840\n41662 70720\n64711 93724\n18083 96582\n26 39611\n69965 91906\n74592 86973\n47322 51207\n14428 14924\n2874 16106\n37559 86188\n58753 95224\n6995 25254\n31821 96164\n3041 74423\n74566 94469\n47507 67152\n4465 96706\n48042 95533\n23712 68940\n1655 69621\n58087 99412\n60410 82316\n38634 67830\n41965 54331\n46990 88490\n18439 72959\n54541 58962\n22117 23885\n6406 47324\n19509 88043\n1318 9058\n24984 60288\n11368 89194\n93382 94801\n49385 90657\n68316 83786\n56378 63701\n7360 78094\n34116 95640\n10670 68177\n78585 85445\n15993 25888\n26860 58096\n19033 23653\n12968 31764\n57553 71365\n4202 90157\n408 71574\n45750 74945\n33294 91458\n70526 81220\n880 19604\n27702 75007\n11817 75123\n5000 86666\n38451 46122\n45359 65421\n19744 76656\n28612 99245\n58133 84782\n30413 37846\n24518 86000\n84912 97125\n79074 94621\n60271 91956\n45871 66622\n32616 60906\n36472 58893\n807 15857\n17398 46122\n65577 97019\n68378 81107\n19175 32200\n55581 79168\n10455 66009\n1725 35500\n73937 97638\n70480 74163\n87063 98962\n65316 82211\n28397 79014\n36477 60700\n1748 4071\n26174 55373\n5548 57660\n23711 49353\n17477 99789\n39362 40289\n20265 66533\n51761 74362\n44773 72983\n39676 95050\n75861 84727\n43186 63396\n5896 36380\n27457 77270\n55622 59842\n66945 93383\n65971 89939\n77157 94479\n11897 50515\n41219 63254\n10216 62314\n7923 58943\n48167 81651\n19730 92001\n55301 98506\n47333 91322\n72744 78565\n21548 46559\n63000 70681\n43995 54831\n5104 22557\n25154 57433\n33547 83284\n45450 80160\n42644 95479\n10669 59359\n71606 79781\n44452 57313\n129 69624\n62954 66624\n24263 52178\n19181 92739\n55395 74614\n47067 80760\n30707 85220\n23296 53157\n30521 30902\n35272 59095\n9457 91852\n19799 45184\n2091 34727\n12494 46227\n9659 37699\n70647 76208\n27136 39420\n64801 69748\n2483 88053\n916 18639\n68128 86706\n45063 49735\n40709 75988\n69050 88084\n1933 65113\n61915 76685\n31927 94743\n8985 86881\n1451 10951\n2931 27415\n43679 46237\n47874 68846\n56540 68443\n49277 52152\n5122 24199\n3113 80398\n28215 40175\n14356 38986\n89200 95639\n73296 85125\n36104 92333\n49770 95237\n32243 98596\n34951 78263\n10417 45014\n73956 90237\n3299 67713\n9706 39811\n46945 85155\n10077 25294\n8206 58455\n50078 90678\n24443 63341\n16891 48403\n5780 56526\n50164 84888\n26582 62082\n13232 69498\n61052 92188\n11780 13699\n42470 52441\n5757 74180\n14859 48694\n26445 32184\n29328 98065\n6342 52925\n69548 72597\n49088 93203\n48742 90414\n23750 79299\n30230 38661\n69321 89090\n43631 85230\n49293 58047\n28516 55311\n24448 51054\n11511 52898\n50617 51803\n9258 80307\n18563 28770\n49445 99070\n43962 63355\n40288 42492\n46244 74660\n17796 84590\n57147 91361\n9073 14646\n3017 78924\n14823 50410\n43417 72249\n1039 39468\n37830 96224\n5805 94326\n27266 27908\n25686 63435\n5243 55917\n10859 81128\n15236 60214\n33927 63750\n28977 31953\n10766 65941\n9807 20064\n40258 58074\n32792 42219\n25856 54134\n33507 95184\n2343 31869\n73508 94911\n65241 78570\n54675 62475\n6841 65061\n25898 86813\n39602 75828\n64505 87972\n7369 40257\n19892 70560\n21217 98794\n25651 51546\n3707 92465\n27336 99884\n34509 99904\n9256 99859\n3362 42950\n10717 89218\n46174 58926\n7327 95783\n42786 92065\n38143 81259\n19526 59795\n22471 60250\n81434 89423\n78439 81647\n26820 47847\n33827 46779\n15593 89459\n13124 55753\n12516 82783\n44044 46211\n83773 92547\n2129 92164\n53100 55299\n46997 74890\n54629 60522\n880 55240\n27876 83953\n12919 46344\n34034 40970\n9481 16098\n14802 60376\n43661 78947\n20856 69487\n60301 99631\n70124 85129\n6102 96583\n1522 54418\n25208 70682\n52075 91829\n44397 74879\n13550 47854\n18441 93541\n15557 23745\n34688 50029\n38212 98113\n10611 65995\n5848 75279\n22622 53635\n12712 71009\n24509 70695\n56296 95639\n47921 95339\n15680 97163\n44163 92236\n11237 29888\n40013 60918\n31217 33320\n11440 67823\n62857 90482\n13656 34134\n65921 85863\n22272 95361\n22179 33413\n6249 56984\n29820 89321\n31065 93135\n4925 15080\n15914 46059\n56245 64394\n36246 84515\n17157 45466\n51935 86932\n72143 78856\n50983 81313\n73900 77990\n6665 85519\n10684 47427\n85806 91840\n11393 69372\n6746 74571\n13614 98796\n49006 83485\n65720 75397\n63432 83970\n4829 17407\n40138 98174\n82784 98951\n12932 19650\n67677 92388\n3108 80596\n21008 72621\n12174 92679\n61385 86245\n85430 91615\n43589 60395\n80427 89379\n30171 74826\n16033 81426\n28623 92730\n12973 16600\n18678 70464\n20432 50011\n19767 71563\n33206 88019\n2035 10359\n1549 36150\n37652 72974\n81746 88399\n20471 27022\n50422 71896\n19323 77778\n42265 83576\n56079 70498\n7751 34828\n11802 50556\n40213 48667\n50064 98916\n35010 72039\n32039 75973\n7045 89774\n604 89231\n87133 88667\n74158 83193\n24612 26660\n53084 78607\n46453 92999\n32472 38757\n44324 88337\n56922 78098\n36745 60542\n41546 62886\n30502 61002\n41191 72520\n27811 33811\n40526 80392\n71981 73658\n46078 50199\n60609 78973\n48324 64708\n77480 77920\n32730 78411\n37122 43149\n26475 72437\n91877 93695\n51796 55867\n43001 64629\n71877 75058\n26174 47420\n66128 78380\n30574 52594\n78569 78801\n32307 55241\n49246 58221\n45366 94344\n7953 33806\n2853 13396\n26566 74466\n36130 99987\n23116 90994\n1810 5526\n41642 78474\n14868 53169\n5426 34372\n70118 82101\n35698 72810\n14083 64641\n2779 14359\n29481 39288\n3204 48554\n18225 60865\n13310 69770\n6293 64206\n15671 60826\n27476 35556\n19474 24601\n7297 19229\n8181 23802\n21081 84900\n6581 83120\n97584 97666\n59348 64294\n22688 45470\n21505 96580\n32705 34730\n10882 58145\n7310 17791\n34910 90095\n21726 28434\n5031 44341\n70894 73920\n11276 33834\n26629 56182\n14543 73249\n66823 96038\n47575 84442\n16632 88537\n33317 89164\n17133 93214\n34892 37633\n15933 49963\n63865 94466\n62121 90523\n29108 46647\n36497 68506\n33655 53831\n1441 13598\n33364 48764\n16222 61522\n2250 60379\n3052 34027\n7274 86791\n61818 82265\n4178 39096\n48467 88578\n43426 78151\n67583 74236\n67991 99492\n71751 73464\n41804 76564\n15935 74387\n20734 90784\n46610 53130\n43245 78323\n31040 62088\n19253 60926\n6654 37865\n48131 54763\n8523 17384\n35327 66671\n26056 56477\n38257 77570\n30269 77127\n2954 25387\n40820 75472\n19348 32698\n25078 37117\n29173 90891\n5225 75687\n33903 50303\n24103 90786\n37063 49111\n70883 71305\n39334 58964\n42468 76431\n64320 67619\n30749 90982\n31473 65184\n8917 60462\n85829 94699\n75310 89480\n8264 52869\n31348 85118\n35210 54413\n2929 61912\n15825 74362\n53065 74570\n64333 72977\n15047 89701\n79939 95497\n1324 97976\n38642 71691\n2568 42244\n12296 98137\n18912 86787\n90050 94418\n18372 36427\n29306 97132\n82765 87953\n17434 59627\n58143 85800\n86903 92795\n6231 17416\n83261 90862\n51233 87365\n23709 90730\n26394 42303\n46323 75393\n1660 43285\n15584 94409\n3191 89213\n42088 51330\n17289 34385\n2601 51163\n40403 61265\n93959 99904\n21407 35316\n31053 78676\n25828 67401\n25348 93751\n1487 4101\n75376 80198\n11842 66896\n13453 84617\n10499 34706\n14801 41867\n18993 61104\n56497 96297\n15825 64723\n11645 26592\n32531 41182\n44792 63434\n49839 74311\n40645 69565\n27021 50182\n61413 68113\n95502 98107\n53372 93124\n3031 32535\n39124 52114\n50661 57914\n86403 98649\n14287 84536\n71644 82597\n32618 63956\n51192 87319\n53997 78287\n48720 92326\n5070 85094\n25532 77327\n59888 72183\n38553 67598\n9020 61935\n42036 54828\n3963 60746\n32388 61641\n57805 84791\n76739 86300\n25367 74780\n81494 98913\n23077 46089\n10612 32154\n11730 64764\n24193 94659\n49280 51860\n16869 88519\n21207 83416\n16263 86067\n29943 85063\n67606 87673\n43004 81105\n5283 66768\n40659 75255\n55583 68035\n12664 82715\n95666 97956\n21919 33874\n55963 90138\n30587 98432\n98689 99234\n74795 85910\n7851 44802\n1756 82122\n56622 89104\n20193 68905\n73808 89558\n44776 96488\n46081 79873\n77273 78702\n47526 67833\n59197 90749\n45009 56777\n21422 84993\n44734 58854\n7750 87667\n4106 60521\n48490 72630\n78336 79647\n15553 64815\n24168 75787\n5387 14283\n64673 66049\n57992 90673\n20685 68535\n80416 89140\n53767 63595\n58394 61217\n62478 81511\n44775 97129\n5931 44936\n25363 47843\n10684 73257\n77381 79625\n1654 90511\n78643 89056\n28832 92535\n26245 42916\n68893 76210\n19049 76491\n32116 71143\n12291 52359\n48905 86522\n25218 37900\n17641 91578\n45014 80196\n27505 40537\n21437 27652\n23251 86056\n87793 99375\n28463 51562\n25223 53192\n7872 79123\n48823 82202\n7763 78401\n41683 63970\n67829 69177\n45089 95732\n81392 97048\n33130 92961\n48832 53590\n24894 66623\n32302 46458\n556 32927\n53619 83450\n5123 38003\n44354 52892\n66194 81697\n66867 89517\n37540 61286\n20758 48198\n75104 76743\n15791 53974\n43849 47534\n59193 72765\n708 67920\n18407 51936\n41185 53796\n40066 97546\n1536 7904\n10587 83647\n27705 64342\n2551 91017\n79075 96856\n14235 26384\n29591 65346\n14858 71969\n44675 52487\n45018 96442\n55655 75673\n45114 82107\n44020 84243\n7873 84804\n65621 76082\n5757 18611\n57337 77906\n19763 90082\n9556 58197\n10308 68824\n16324 36246\n35464 96052\n31610 73205\n63389 65422\n57869 61169\n49330 56380\n23684 63387\n42511 91073\n60389 79960\n43223 46889\n304 18391\n2881 69960\n73242 79715\n26709 70870\n1114 68907\n40180 43331\n35971 89934\n47764 61084\n64904 96034\n14255 53552\n8735 72525\n40888 86760\n75564 86988\n11875 92218\n22878 65248\n4231 38893\n45369 95385\n57825 90270\n64620 75187\n46390 77589\n88851 93138\n22832 72425\n39665 79819\n50299 97444\n74637 85303\n72348 77856\n56421 73729\n59889 89833\n33857 79668\n20045 77714\n43799 49635\n55544 91783\n15182 27439\n63646 65147\n66293 87835\n20768 35783\n24377 44345\n41454 55134\n32779 87035\n61035 90059\n2848 59645\n26704 75253\n38342 70559\n39762 74072\n78530 86710\n48004 77960\n59346 73317\n87887 96159\n20752 79914\n64940 79377\n15840 80541\n26266 78314\n22576 60090\n23328 72918\n80411 94744\n24573 44609\n17348 89954\n17145 64761\n11300 62318\n87801 87952\n4723 69716\n80648 86085\n73563 74459\n1369 38487\n13315 95729\n88163 92818\n35673 89253\n9477 15778\n12863 74912\n45260 49262\n6559 82720\n60629 78511\n29847 57217\n18828 30389\n66270 68997\n76255 87763\n56840 92016\n33730 87680\n15187 27457\n50130 72832\n7898 73108\n39886 45072\n16280 67120\n19192 20623\n39411 64924\n27673 50168\n11467 54370\n1644 86844\n48879 80680\n48798 90237\n17693 33057\n4606 84357\n19968 82336\n14924 23476\n10369 41402\n33853 64562\n39427 82367\n82337 84921\n6990 52988\n11476 51305\n28 78935\n5836 35382\n526 41024\n13945 90056\n17509 25572\n24471 29376\n3548 74724\n6283 68096\n90303 92143\n13302 30726\n28702 33090\n11794 43544\n42469 68463\n1250 78096\n2955 9976\n18222 75733\n34507 96746\n77335 78721\n54748 86651\n2499 12806\n62834 90834\n29597 80068\n48375 81553\n3199 39100\n51480 77792\n39950 88769\n71308 94062\n30694 81827\n27502 32352\n43646 69592\n14445 95228\n12546 71828\n51335 55177\n9755 28995\n14057 41360\n67562 75296\n28562 50474\n53072 60997\n21714 74793\n28004 70290\n30440 61220\n4225 54611\n70464 96075\n22790 92991\n36148 75205\n14013 77791\n70601 71167\n12213 47526\n43013 80954\n50713 95845\n41146 56786\n6975 87043\n9949 20964\n65796 70925\n7988 84411\n75661 97250\n25711 79734\n20055 56113\n20086 90281\n55067 92267\n20756 46186\n45552 50084\n17333 47119\n12920 70996\n8998 40870\n6136 39108\n61971 84382\n13168 97860\n30648 87851\n23035 97131\n22499 81880\n7065 60613\n27210 27996\n16175 84140\n11006 49706\n8076 53661\n79995 81027\n1599 20623\n70185 73384\n23402 68884\n24518 81395\n36566 61129\n83416 89586\n49715 87461\n28801 72173\n1145 65839\n4003 19932\n91998 94981\n2480 21211\n2924 23217\n62612 67161\n66132 74661\n21076 77824\n11132 29254\n7869 81084\n53660 86148\n72393 76923\n31597 54087\n56436 69154\n20762 24982\n23498 47201\n57710 65107\n72569 92576\n45719 47123\n80738 83871\n36176 83202\n62777 65598\n1404 71140\n15033 80066\n14227 25342\n57838 81088\n30537 91616\n18046 78513\n35270 77146\n53071 78815\n229 63635\n33243 81347\n4587 99385\n26510 87368\n20852 51340\n3564 69846\n34843 87981\n39305 98800\n31274 54868\n10578 37680\n57383 73399\n11111 31644\n48017 99663\n11989 49555\n45710 70757\n8691 82656\n46638 51623\n93837 94703\n18413 83886\n12166 18168\n18085 97494\n42921 50337\n36059 66250\n791 78695\n75303 92184\n25199 94390\n3641 89973\n51332 72267\n87633 95421\n75546 86730\n77579 89640\n47297 81936\n29653 54724\n41688 49214\n59180 91411\n54505 95280\n26098 78534\n58425 83325\n46909 58805\n11296 41785\n5567 26784\n68516 79491\n5113 39055\n47577 78271\n18962 20834\n10849 44929\n9473 95383\n24908 46654\n1054 46075\n5296 97904\n23730 89756\n86789 99231\n50138 80596\n16568 16965\n23186 94913\n7802 75271\n2948 75787\n6060 45773\n3417 36391\n58222 58915\n18033 38741\n33596 98562\n43587 99382\n56338 65230\n68 63519\n42551 96171\n28457 99096\n28676 93424\n63109 64139\n6408 14140\n14300 97433\n12773 38245\n83131 93226\n72911 83439\n5687 28684\n455 17745\n2768 43997\n51948 76510\n33783 55352\n26194 77759\n3871 72789\n18878 66779\n20034 94342\n29581 31427\n20153 79722\n16700 55783\n5347 12163\n39951 91083\n1658 40370\n32948 57658\n3862 45270\n34023 49564\n76306 85607\n70095 79601\n27075 88885\n21522 81621\n82132 89486\n15458 32898\n21137 59995\n11513 72293\n47707 77737\n11395 74599\n16067 57732\n21150 59996\n29820 73815\n668 56427\n11711 36289\n17178 26650\n33886 50011\n63243 89084\n33953 91532\n40690 87753\n35581 89536\n317 45825\n72673 91263\n15709 51331\n57982 84556\n19687 44604\n7253 52182\n74263 99698\n365 41144\n63383 76508\n9184 28603\n70197 70343\n5023 30025\n11405 52198\n34945 77762\n40359 66399\n24807 54213\n44773 90068\n10126 63884\n31583 82909\n12240 33677\n29674 54568\n54743 83624\n21419 55317\n57613 63028\n20588 45347\n33637 60854\n41819 84003\n83841 90151\n47018 82728\n25506 72563\n61881 70229\n7919 70693\n29195 48143\n42099 42188\n75951 93711\n67632 72933\n76509 94793\n62820 73323\n76966 84538\n27900 54056\n33756 98427\n50377 92606\n71884 93547\n13439 83580\n31432 84943\n78269 98679\n22292 24558\n94903 99336\n29075 99319\n5295 40955\n25145 56026\n361 99610\n51037 57374\n2937 41612\n9816 81743\n3971 17138\n21982 40256\n48126 58403\n25427 68296\n19814 72401\n37868 57682\n55105 98777\n10881 99461\n27384 94151\n40640 94053\n37229 92553\n58769 77260\n2644 5269\n3832 22909\n47442 92053\n58411 62691\n50784 90609\n32848 48433\n57746 83285\n67964 75467\n61479 98164\n19219 83804\n10668 61280\n36734 89477\n24535 71960\n22983 37083\n35228 67921\n36873 76223\n79558 82997\n41138 70725\n55504 79260\n54146 67868\n64477 92902\n31888 87401\n4560 30586\n41268 97157\n64732 82153\n27977 91913\n7693 22064\n59364 86720\n35270 88941\n49088 96764\n9485 54287\n4229 40374\n51893 76101\n2960 75367\n22912 42918\n28914 90934\n21601 45723\n23394 60501\n52286 80840\n49658 50753\n34961 67332\n9065 74956\n19337 26257\n14334 92647\n83066 96483\n36390 39266\n1472 3581\n45197 98332\n58397 75237\n62682 87608\n70112 81545\n46949 91023\n42621 44529\n62228 80945\n67529 69196\n68112 78139\n67101 70561\n68541 84961\n58936 75233\n36129 79024\n44546 90410\n24035 74370\n20792 76160\n24662 98597\n2599 48175\n24995 57289\n37468 82903\n1814 11783\n47715 91247\n26413 97278\n46631 82997\n33975 80456\n30208 83815\n32593 93937\n49929 92134\n52600 61072\n5944 6173\n12232 99883\n1821 47783\n43479 85997\n54734 97608\n301 32997\n19031 19904\n53481 90084\n11895 43445\n69249 86059\n11084 84395\n87908 93989\n73097 75282\n6351 50079\n20804 50132\n37252 79292\n19205 99611\n46218 96169\n22244 32422\n48174 65728\n79189 81750\n59909 80071\n70402 80356\n61979 67568\n11333 50433\n9572 98292\n39832 98938\n9892 63966\n20973 80968\n6160 10760\n10182 61021\n39697 95202\n65573 98273\n29431 47370\n21578 66362\n30609 91411\n18152 39296\n53543 94965\n18917 95726\n57272 74754\n38584 74229\n9884 99898\n16721 35537\n703 88047\n41103 94245\n55556 79629\n15012 18590\n10438 58414\n13653 75799\n68003 98545\n20354 43779\n30964 94782\n10642 85597\n1435 27205\n27032 77174\n16201 58732\n28227 89035\n71497 85289\n57133 68260\n18682 76355\n36957 86063\n8657 16852\n37612 62151\n82738 96140\n58660 69667\n29614 33742\n70835 84317\n28603 30565\n22774 69241\n92332 95942\n48113 61939\n388 98711\n53734 83726\n778 23681\n40423 62703\n23996 26980\n9926 95453\n76477 94875\n40709 51817\n42544 80926\n65011 79938\n42770 58916\n4720 49559\n28048 31160\n80135 97827\n25113 78727\n43534 94407\n9531 75023\n31974 45305\n2811 92488\n32845 50732\n11284 53293\n35902 58022\n3513 66386\n22581 46494\n34603 92386\n23905 87331\n11877 92706\n40447 49132\n56376 73060\n35146 85553\n54152 93406\n24577 31324\n13327 34068\n64184 64842\n1441 72448\n56296 62732\n52382 68153\n55457 92568\n15631 58793\n69982 84971\n45331 56619\n44326 90955\n24700 54063\n6189 26404\n54843 87863\n61817 97214\n36557 50778\n2707 69076\n21409 76934\n1711 42846\n20864 45125\n32683 51922\n43017 60990\n30139 98567\n15553 66719\n9647 38799\n539 46778\n28138 70070\n1556 13953\n44762 61504\n59819 98939\n8402 85512\n28118 33680\n37262 42631\n8108 9010\n32459 85855\n35161 89641\n17787 45976\n81871 97357\n29976 77832\n15854 55500\n11902 33689\n6217 28308\n97763 99261\n72715 87038\n59318 61892\n56778 63352\n16570 94893\n15884 85353\n18533 65690\n72100 80464\n36955 55831\n9504 60500\n16615 21363\n8600 51157\n15149 93884\n55550 98435\n10180 76713\n32252 92776\n20792 49321\n7810 66791\n25838 78673\n8188 35945\n41070 61004\n8380 86166\n68832 94464\n29072 62381\n7412 46994\n48749 86958\n13634 80542\n10561 41202\n38390 58060\n57939 67070\n76272 76537\n60435 91620\n10500 56635\n46008 98876\n58595 91940\n1989 91967\n31407 37601\n13266 53898\n51268 74419\n1121 76688\n51843 92574\n76486 84373\n69203 82974\n58994 79123\n35093 47428\n63082 76508\n12642 83760\n6817 19075\n12761 77448\n3332 13788\n52993 96199\n11406 84770\n55268 56996\n56761 90277\n53221 58722\n56594 94898\n2252 66246\n53071 71391\n33661 49924\n53154 65337\n20402 35986\n15981 46181\n28393 83845\n20823 85905\n44568 56709\n57613 60912\n23910 65368\n8595 46795\n61725 83119\n52003 95659\n2847 82300\n67715 72158\n8517 72584\n17702 78238\n9419 80889\n89348 90248\n11517 28915\n44580 91673\n75052 75249\n25725 65467\n19482 96701\n42926 43449\n44202 84771\n35028 98330\n20451 37864\n41987 92739\n1758 31770\n16160 93377\n33582 45374\n35441 36551\n27007 40833\n13983 37006\n59967 85225\n12394 37345\n403 83007\n70505 74189\n12136 86319\n54875 70543\n29641 74367\n11555 53784\n27980 45461\n5733 74686\n2120 43714\n25101 87141\n39622 87196\n17018 65421\n17026 67731\n26460 36438\n36630 71445\n4147 56101\n81093 84459\n20819 87061\n31990 92283\n6893 86534\n5912 66905\n25020 89687\n23373 90140\n31358 77148\n35394 88641\n19912 52180\n14968 28928\n40358 94111\n15748 36867\n6966 83340\n918 38474\n12830 72157\n6067 35871\n74593 84543\n1321 72945\n28411 90750\n22594 22876\n13233 66135\n17356 39337\n20156 27866\n36724 44727\n13919 89852\n58569 80520\n41717 83757\n549 87837\n51222 98946\n48176 73042\n9388 89207\n33168 86503\n5187 74332\n34528 93043\n62528 82374\n20093 60658\n86495 95338\n21422 49669\n38097 99017\n3005 8139\n68728 93548\n9924 70027\n32236 88315\n27268 38369\n17503 47065\n35610 88482\n13398 84248\n51403 94762\n3081 39479\n2294 13008\n21422 23626\n44693 75498\n8552 24869\n12096 98480\n54000 79350\n16348 68662\n30577 60228\n67606 97266\n42000 78112\n46152 90470\n15941 81367\n3144 6511\n94769 94965\n43592 63786\n45727 91382\n4645 18609\n6980 25951\n48148 63810\n33022 49484\n35055 99119\n53551 55110\n11311 66217\n462 30227\n54268 75099\n23600 75061\n30446 43868\n22708 80450\n13543 63229\n26327 85393\n62934 76655\n73789 88076\n17198 53465\n51590 73080\n8455 22006\n33920 72815\n13632 73671\n4942 94901\n1930 33606\n26302 82873\n17017 23635\n33942 58669\n24010 98717\n69653 74031\n18551 63523\n40938 86713\n10741 63833\n50671 90571\n28604 67283\n68989 99504\n39462 80056\n6711 34662\n71834 77075\n73754 90246\n6601 20489\n62 34104\n40868 91163\n39824 87366\n89417 90365\n31019 96968\n9820 52262\n7953 8160\n30120 73872\n86865 97787\n47820 93189\n13788 76951\n26646 78522\n44908 55500\n573 13088\n28562 99827\n58597 74561\n6816 52021\n27718 95818\n24509 53308\n82460 87257\n65916 70608\n9405 51018\n53232 53500\n47789 88951\n16964 73754\n31976 55004\n43491 68533\n62251 67902\n13382 65457\n35797 43655\n85954 93300\n16967 83331\n4819 91646\n10231 80843\n17093 87038\n33066 83911\n23248 91314\n11607 85218\n17838 74951\n82242 93767\n8647 25243\n21615 25392\n1171 73776\n91086 97957\n64305 84979\n17980 85096\n3649 16794\n18096 60358\n21181 31909\n30390 81903\n22110 91878\n1301 31805\n48848 86964\n65874 89832\n34014 81116\n15604 90586\n42886 91826\n41367 98835\n70589 84221\n29198 80322\n5737 29980\n3642 18489\n14621 70353\n9066 84146\n64256 82581\n72360 84521\n30082 80453\n56747 66445\n30118 70992\n69977 84944\n16706 92103\n28801 90894\n24929 45313\n59217 99423\n11839 67595\n42998 98581\n46799 47338\n7088 77519\n68867 77609\n46167 69228\n40088 47519\n38511 76540\n46037 86737\n38186 82689\n44705 47272\n92263 95786\n28301 95843\n711 64960\n36581 41517\n25489 63889\n27012 56715\n33 70086\n1081 41989\n10613 51264\n21285 91214\n385 57671\n57307 98507\n42024 58594\n39433 79552\n41453 57571\n9915 54103\n45187 69300\n30591 34679\n63760 78835\n59180 83202\n20988 41955\n57486 69568\n63474 75561\n15719 30908\n50778 78783\n89706 94104\n41168 68862\n73564 81567\n28929 88610\n38269 85733\n49923 97279\n17049 64547\n31553 96396\n29400 78196\n1649 2622\n19080 64589\n31528 73261\n22447 60418\n19021 44451\n19625 21014\n20178 26802\n20823 47106\n43736 80671\n6004 71026\n19486 51344\n58011 99727\n17805 48130\n41695 64907\n19498 83310\n43913 84256\n11240 68168\n45220 73705\n27287 81709\n19726 46865\n50740 96197\n1584 41197\n36771 76382\n36353 59114\n49626 52628\n29333 59597\n1993 21236\n7872 66475\n59309 99205\n65821 81856\n16628 68825\n8674 33757\n78040 81098\n39057 84653\n374 58874\n1368 30088\n15601 60919\n2685 9210\n22200 95774\n11064 16609\n16935 47095\n74491 82177\n49803 74512\n30496 39242\n41713 76772\n36863 83425\n59411 74823\n58061 84269\n23089 89794\n17105 64768\n17924 48693\n79640 89392\n62155 67413\n4680 73115\n72500 95156\n15253 67027\n48600 77965\n68212 89860\n24919 85875\n5391 68791\n54669 79698\n34514 47570\n17005 37471\n85441 92290\n87159 88021\n2679 8376\n80031 85505\n24080 69592\n75711 95220\n46447 87798\n13264 28825\n98777 99132\n7753 51581\n60313 78094\n63768 68777\n44917 52065\n50743 74506\n14678 38815\n18979 97969\n7408 80074\n72687 84847\n22464 74717\n67593 92323\n44466 83755\n15735 78267\n36902 42340\n60116 60135\n25197 67487\n69665 96337\n46653 82030\n56099 63318\n63141 83123\n7512 61049\n55399 63214\n26115 55078\n11106 35698\n68676 92878\n17559 20964\n90564 97486\n64907 94589\n34616 36457\n46632 58475\n77098 80693\n48539 88833\n42202 92880\n21136 62027\n32605 43871\n63249 79707\n18658 91292\n28384 96109\n48129 72563\n15682 18289\n18848 76859\n40806 52012\n70786 78364\n12068 27122\n1373 47392\n1288 27366\n48998 81074\n5438 12442\n3154 11101\n26279 71888\n31738 72265\n50336 99307\n15286 82295\n441 30497\n24261 46267\n38117 43011\n50857 66965\n7886 55626\n35564 63092\n13178 40368\n51931 84447\n34101 49216\n4140 14014\n73370 95611\n43241 85233\n40034 80135\n50305 79765\n35916 68548\n61454 66609\n41045 52035\n8617 50192\n27753 49154\n37198 60503\n21379 76216\n83382 85382\n47311 96116\n15317 45382\n56489 80417\n37002 88328\n35926 42871\n7468 22182\n15051 24027\n52986 76673\n27094 80613\n15059 16771\n22642 69692\n45440 56713\n79293 95897\n3136 78476\n8652 43281\n23877 90417\n74882 91921\n43529 65735\n41914 43268\n5094 78521\n18262 19323\n27951 64297\n32566 51345\n70223 75452\n15930 37551\n16409 60444\n47499 88131\n50401 73181\n20821 68019\n20159 51210\n25733 98939\n7639 53072\n49384 66059\n20153 92982\n31590 36851\n12373 72987\n32241 90225\n78340 92557\n26656 63649\n9935 22761\n38199 68629\n59288 99437\n17223 96064\n88365 97444\n1935 3873\n20901 85268\n7823 18018\n1559 62393\n40076 82455\n37860 92598\n59123 68141\n5300 68578\n24897 81625\n65018 66918\n49811 55660\n93823 97976\n30221 72402\n26380 98488\n6856 39721\n51926 78145\n32077 89732\n58026 91731\n46964 77074\n24335 98143\n3696 94846\n46458 68776\n27161 99384\n22733 68810\n19774 55296\n41909 75289\n474 20826\n14926 87757\n31575 44762\n30464 84031\n36204 56062\n3907 45921\n24567 78274\n12137 64634\n42969 62125\n38491 82527\n38751 82074\n28623 86098\n56813 81656\n3742 7545\n17743 94108\n56233 64959\n55384 85967\n63132 76803\n34859 98210\n37006 99767\n21199 84046\n86840 90960\n54777 87651\n58082 80940\n5832 69633\n12585 18699\n10350 38847\n9583 98539\n52356 74712\n16489 88433\n37578 69094\n58293 63656\n93222 94665\n52849 63818\n9321 16354\n35233 80398\n23792 60685\n1829 74434\n23265 54795\n35467 85221\n887 89383\n20506 73334\n52916 71630\n38715 80908\n39866 78517\n35870 38015\n53702 57479\n31976 81614\n57002 63332\n25079 71039\n58745 97119\n14945 40084\n60615 72618\n25136 65570\n9671 36672\n8718 78581\n15669 34866\n40239 77623\n37815 80404\n56801 62810\n44104 57208\n10870 76757\n38802 92059\n55399 84731\n12047 14413\n54024 84189\n44269 90946\n58603 68159\n34266 64636\n77378 88499\n2738 21902\n48284 81850\n88231 94217\n49678 96332\n47694 72229\n38899 56268\n25561 76184\n31567 54352\n45599 68655\n56021 84003\n7280 77572\n2908 18318\n51067 66639\n23690 92850\n38888 94309\n7858 63421\n38626 77702\n17296 58243\n27181 27379\n7371 8785\n27439 37625\n22012 62571\n42468 96114\n15796 54427\n42914 62822\n3281 24971\n4642 41184\n3806 58853\n73366 78599\n14776 16847\n27041 41029\n22701 24185\n32906 45015\n75660 89587\n16852 32499\n20777 47552\n50843 90544\n22395 98132\n50006 64443\n49702 61778\n82717 91960\n31319 67816\n10932 79386\n2557 95826\n52762 53262\n37821 94940\n22908 56495\n51384 99401\n23234 74273\n57968 95758\n61968 63595\n3813 32632\n41128 85265\n11662 14331\n67881 83245\n18399 70301\n3617 95626\n555 43331\n10829 82140\n30617 56105\n24443 61916\n9869 26571\n50574 98750\n73167 93737\n37047 94679\n6879 8154\n21746 40767\n246 30799\n5589 35952\n7064 13119\n61045 78531\n38691 75885\n38255 50699\n61970 65089\n28618 76500\n50689 73241\n69434 88334\n73050 95862\n9361 17979\n34858 73052\n20459 80097\n54215 57035\n22118 24046\n5150 63699\n26720 56351\n54762 71463\n36998 57185\n5843 22260\n765 26164\n53064 53358\n12926 83569\n11004 15102\n51505 70402\n53269 58592\n11769 28099\n73832 92614\n12589 51510\n2251 55886\n49594 82562\n3348 95059\n65256 77021\n51320 64333\n45059 47649\n31264 50897\n9433 80306\n50898 58011\n6947 56014\n20010 63299\n17687 72058\n6488 99037\n24681 94511\n56034 56343\n21029 45538\n28514 54208\n17933 80600\n32317 42325\n1857 55650\n58010 85876\n10438 97077\n3810 28269\n3474 60668\n41834 82712\n47958 89404\n61287 78276\n76052 81718\n58816 71816\n50483 71647\n23156 83355\n34504 59927\n56732 79255\n7320 64081\n19553 52876\n38036 62328\n15834 33044\n32750 82025\n33935 78972\n9558 32905\n23588 66734\n35074 45564\n64673 76275\n22274 35740\n41950 47989\n28765 29014\n83743 99945\n65140 85485\n2295 24887\n12475 37632\n54750 77428\n27541 43525\n83654 95212\n11900 45426\n17820 51019\n7466 33430\n42958 46267\n14297 65056\n46385 55343\n51878 78432\n58734 73389\n7457 83545\n12103 39333\n11645 90128\n30228 53632\n28051 73001\n25198 96053\n2187 53594\n1361 54964\n3805 85327\n13738 84690\n83781 85377\n81865 97217\n11432 89958\n12622 48357\n1284 54194\n75103 82739\n1492 64735\n12937 30922\n12847 34639\n13886 38840\n73182 91359\n45181 45707\n70336 98951\n23891 76617\n6209 55703\n2367 60695\n42075 95312\n5721 37520\n81038 84576\n53964 59106\n18757 77232\n28492 72604\n11994 89817\n63286 70551\n3989 20175\n11808 31994\n50531 73340\n604 58938\n39691 89908\n6371 82637\n74681 81377\n41810 93461\n44540 51084\n12182 41392\n7638 46551\n36449 66972\n13163 75325\n21666 36911\n19925 44548\n3287 55380\n9403 34207\n28911 83933\n64593 95505\n52368 54929\n88847 97961\n63493 99884\n68390 70333\n65844 92812\n43554 62824\n16680 64197\n27194 80844\n10534 23645\n41093 51401\n1224 19905\n21826 77592\n55565 97652\n43609 90140\n56160 85092\n13869 44744\n605 64129\n7968 9768\n57887 82439\n55788 81892\n18480 37283\n69930 99600\n56511 59919\n48080 86890\n51975 82005\n56857 99343\n2100 20208\n19826 64794\n12871 55113\n17183 57997\n14025 30849\n4008 49345\n56085 85634\n3208 52621\n67093 71722\n74911 79980\n43935 52300\n54622 99066\n48224 77136\n21733 87313\n15071 20022\n75396 83811\n62184 83409\n66065 98295\n21565 43063\n23043 83622\n44724 90437\n19722 35419\n10064 29969\n11018 20399\n2539 18752\n40042 47831\n28914 98056\n39341 66278\n26214 32959\n1393 52065\n14595 58512\n56632 92725\n44851 71056\n34699 71482\n10238 53873\n13805 17804\n3508 90322\n60268 77688\n28884 47272\n49141 90146\n24761 77627\n44988 53442\n13457 94643\n442 99722\n49002 81582\n59166 89595\n924 43139\n38171 97318\n6157 90685\n17128 70424\n53897 75925\n31832 46381\n45222 94175\n24820 79004\n59880 92518\n48061 48140\n46054 92891\n49278 85270\n27170 56468\n18268 75373\n36964 57172\n30638 77901\n42624 78705\n77429 82416\n35239 43593\n24893 56671\n1985 97801\n18682 82430\n34606 45319\n41827 68685\n62486 82900\n47387 84450\n7110 24176\n32751 54929\n1646 72925\n38543 97941\n83433 88293\n2267 64720\n55398 60108\n36254 71405\n47598 77730\n2090 58096\n28395 94585\n84340 91014\n17704 99625\n35648 60562\n28205 96247\n14413 72411\n26626 28559\n52319 60928\n17527 49123\n68495 69945\n54414 79437\n52313 54356\n67004 67217\n72457 86234\n11841 67914\n44882 80771\n5750 10141\n5497 34344\n13617 40075\n41812 90132\n21535 54279\n11188 11874\n5230 87881\n92452 93866\n18174 22893\n52171 59700\n36426 77563\n53300 90451\n2565 80463\n16865 75424\n4129 45227\n2151 72705\n30056 36382\n30305 96721\n25337 86498\n518 86135\n5187 8077\n85254 89061\n347 81954\n32971 41925\n92532 96511\n71114 84827\n37815 86520\n22088 50675\n80867 91704\n31249 82711\n13778 66716\n27998 71041\n38144 62667\n24106 82653\n23732 55443\n64 27845\n16857 26469\n83008 91176\n46802 91010\n27831 92361\n41593 67725\n57055 68832\n44100 90551\n8814 38704\n26399 95257\n43388 65302\n3118 13361\n6393 51077\n20306 64877\n27725 60851\n65285 96347\n59918 66853\n5502 13913\n24873 51100\n27887 36765\n8047 77939\n32338 71839\n83123 92171\n7888 83573\n49096 71392\n6050 18438\n5062 80735\n2304 32522\n43526 67491\n72860 75196\n2086 35218\n60833 89789\n3692 78924\n18850 34663\n54017 75284\n35356 84031\n56973 78132\n65632 72849\n47172 87832\n8290 63670\n45501 98904\n77661 78742\n59961 82140\n33314 62064\n53709 77956\n30701 40411\n9534 87408\n13513 86901\n35810 58111\n55200 71011\n84526 90918\n72613 72894\n5634 52390\n27611 70983\n14178 21215\n26022 93221\n63968 81127\n28573 37056\n42657 56484\n22276 92498\n73661 83425\n7298 49779\n41001 92028\n32521 87283\n65038 96913\n92804 93410\n90604 98628\n11736 98656\n58698 96169\n62327 87032\n14900 70700\n1128 38837\n51367 77639\n32369 71378\n28693 98069\n6150 12012\n7492 29822\n58457 82423\n5255 12605\n45466 97436\n31433 54873\n459 54845\n69333 95097\n35678 71676\n742 33320\n62871 77328\n19414 71682\n39461 53654\n78111 86127\n56214 95420\n6138 34566\n12959 43088\n90616 98230\n6105 90881\n54580 95296\n88652 99412\n53899 59125\n51752 53028\n3807 61873\n23974 70391\n567 37105\n34488 37296\n46129 70161\n23522 36828\n26146 32578\n14750 87770\n12944 81603\n36607 50064\n90578 97472\n18033 69548\n12091 57730\n40406 71547\n37463 58520\n6617 84559\n8880 28888\n20061 21400\n39853 78465\n41372 72581\n5534 17207\n26173 54749\n77229 87933\n53728 55746\n3589 29746\n8552 27095\n43416 82893\n58814 63731\n41551 78961\n37223 60011\n51845 91526\n57340 93745\n9204 18982\n20397 56236\n66372 68238\n37448 89488\n75820 99424\n53320 70457\n11982 27898\n36371 66467\n15368 51068\n8966 78887\n15074 93333\n18883 46014\n4272 75415\n57291 68937\n54031 90492\n16473 42660\n48133 69159\n39043 56687\n880 26323\n18163 64789\n41662 74007\n23615 94638\n9958 80473\n25848 27863\n17298 73216\n18354 31930\n12740 67857\n18835 44268\n18050 38635\n42305 46405\n48533 71962\n18446 33024\n61860 65741\n16999 37228\n19874 29137\n8247 44258\n3561 40791\n93702 96483\n36431 51683\n15554 50673\n27849 59806\n27797 84165\n85503 87549\n4737 46567\n21854 73065\n19375 66564\n4614 29995\n347 88140\n2854 38574\n34502 70253\n64904 92839\n16098 81612\n17037 30679\n72940 88681\n7031 96841\n49022 95756\n37389 58843\n27511 83472\n24301 96592\n13570 30342\n23382 33275\n78562 89412\n22291 36800\n37333 44429\n24182 25471\n67104 80744\n1632 48840\n48610 69580\n59774 90362\n18844 77330\n8495 73482\n48055 55091\n35921 60325\n16586 82815\n31802 85612\n50897 92683\n771 98728\n1138 20991\n31640 35356\n421 95186\n60331 77008\n39663 57315\n11678 86801\n22135 54521\n12950 73337\n78553 93222\n23583 76454\n61917 71334\n76012 84049\n65625 66145\n79995 81014\n24185 84829\n55045 98003\n80601 80810\n4541 9979\n41768 72718\n41733 88249\n40407 81567\n54456 90273\n23243 59719\n72720 84141\n44893 56345\n46591 94588\n68812 86191\n1919 34564\n14559 34832\n1222 34651\n19699 28840\n66578 66813\n28481 47495\n5850 43482\n2710 46490\n15592 71893\n9218 57990\n45692 68040\n38558 53895\n41885 85882\n73608 88384\n63948 64760\n11772 62431\n16213 49815\n12712 31950\n48179 78764\n34609 38780\n94870 97666\n6291 45821\n43633 84470\n53065 56221\n85417 87144\n33752 59906\n32560 97323\n34579 75989\n4157 73370\n3768 85451\n65474 77682\n47335 75487\n68552 70647\n47964 89209\n82543 95430\n31502 50442\n46391 90663\n38086 61153\n29457 95935\n51937 80055\n4124 93405\n33337 91597\n5690 98027\n35120 69283\n36770 87647\n31006 60412\n30940 32354\n26777 73105\n6406 66393\n46048 52654\n10327 25635\n42920 53108\n37913 47125\n23013 66314\n56622 74373\n8535 38705\n5737 26192\n92534 99720\n49907 84009\n26677 66301\n78910 96559\n48972 74987\n36072 80333\n20854 50374\n3215 88504\n35804 63886\n6258 95380\n27537 57407\n36143 79575\n33395 70339\n42149 79536\n49713 65131\n14389 68589\n10662 53038\n3259 18194\n170 577\n122 37645\n1199 64108\n32365 53927\n22298 65024\n36733 98198\n17260 61235\n26963 88506\n40491 60627\n52806 98464\n9912 32944\n56238 65532\n8556 29734\n17366 37905\n25663 36185\n1527 96276\n13684 30932\n60825 77386\n67468 96028\n59898 76390\n24002 80168\n14738 94665\n13560 39897\n44170 87853\n7544 31164\n16614 80765\n7130 34856\n51144 93759\n4459 70962\n55464 95717\n3201 57180\n15109 92002\n41776 89958\n81990 91413\n66152 66580\n45437 63922\n17752 48113\n24153 98145\n1969 40511\n31345 85398\n72415 94984\n71086 72359\n54591 78268\n1737 23379\n50647 55419\n38566 60194\n13980 29137\n35004 94478\n37730 79201\n66289 66540\n62186 97527\n32706 44867\n5513 32013\n60336 78121\n74875 95658\n38675 70556\n24831 72141\n46903 64809\n33781 35621\n537 66767\n38142 46394\n15559 71474\n13044 51945\n13026 27906\n22868 69448\n17691 38715\n33107 76734\n69088 71393\n1576 22487\n54048 79818\n1367 63356\n33896 61110\n60271 67671\n54913 89352\n14646 46030\n52161 93723\n67127 69865\n5821 24975\n10252 25038\n55696 80620\n14179 76402\n25808 39481\n483 95322\n39428 56055\n30223 39247\n3118 97890\n20967 51276\n73430 79081\n36825 75157\n47459 73357\n26794 54256\n10726 81568\n17989 44552\n17546 52697\n20379 68083\n42446 87708\n52344 84690\n5789 98975\n18136 68142\n55243 86193\n9494 72274\n33791 56644\n39130 76629\n65294 79049\n25541 93628\n14986 77948\n37718 78597\n60506 85079\n39914 49229\n44346 82425\n4792 64728\n46214 84224\n24501 76691\n37305 38366\n90010 90737\n49947 58274\n67185 94392\n74811 85488\n19361 75935\n71471 91599\n797 62428\n72742 80665\n52203 96156\n45195 53439\n12585 46914\n61110 98021\n14637 47335\n14616 89070\n21395 54871\n32241 65087\n60780 73704\n3897 39408\n47872 75592\n398 32467\n2183 53147\n3284 39243\n56866 70419\n38708 80275\n8351 84201\n64886 97856\n52868 57877\n46878 66703\n67847 77662\n41726 67886\n1497 62195\n2838 85092\n6446 91340\n25304 37962\n71588 75621\n82453 87517\n32821 62806\n24800 55390\n57630 83365\n9181 16438\n34351 36771\n9455 16682\n20783 69490\n6162 75385\n15454 96300\n15721 71469\n10006 10036\n9056 12110\n13402 79824\n15950 75140\n90235 90406\n78571 84159\n144 76951\n18254 42668\n74840 89480\n47275 74884\n51260 74692\n23326 35838\n12366 46623\n5619 84317\n41065 97673\n19936 85964\n33201 34490\n66834 91969\n6121 75541\n4445 58538\n39587 63007\n11461 71840\n85648 91655\n21148 75517\n20249 28760\n2643 26148\n22609 59793\n39709 95135\n625 24168\n44939 48533\n57336 87564\n29343 41126\n47624 77129\n13857 53201\n49616 58972\n23853 47947\n67668 96845\n40465 62010\n48751 58866\n1419 76581\n27180 66572\n11474 47617\n50627 75042\n7416 60613\n64804 88195\n19141 56941\n43551 60228\n5575 21131\n75240 94093\n22763 52166\n26884 77272\n3739 81422\n34527 53967\n20889 36713\n165 68542\n88034 92734\n43883 73156\n53990 55067\n20358 65792\n22933 51778\n34803 53479\n12658 77007\n12740 67339\n6250 66677\n15763 22735\n11180 54606\n15748 77555\n67811 71773\n80917 98863\n44225 56413\n12049 61124\n9244 77815\n29788 95601\n65268 70153\n26253 54479\n49481 63801\n11585 56794\n415 86024\n1205 15388\n39324 96680\n52277 76351\n20148 92269\n7030 18257\n38743 85699\n48936 83881\n84386 92693\n8193 69001\n4420 5001\n11134 87950\n37397 94956\n10880 17189\n62867 87654\n4245 42924\n76962 99520\n10493 70815\n49379 53960\n50216 71113\n52171 56338\n55144 98337\n19910 95352\n61891 78731\n6005 8629\n50899 87094\n43890 45657\n2273 76066\n6663 13420\n33514 65336\n52478 56890\n92873 97790\n4322 50920\n53429 86480\n87249 95255\n494 5350\n58081 63819\n13095 41207\n34574 94219\n42776 56597\n368 23445\n74609 89798\n32322 95904\n16774 41980\n1867 49291\n13691 91958\n57045 69274\n92677 93240\n26578 85525\n6269 26801\n40277 86564\n35793 76662\n25697 77225\n24126 61189\n41000 50095\n34257 40559\n24547 38196\n73946 82953\n14224 39540\n44594 45032\n33929 79281\n2695 63042\n60189 84607\n34541 78531\n23626 51095\n8080 12859\n44334 56215\n75729 79023\n48754 83768\n17503 32177\n28056 33449\n1591 68517\n43421 57977\n3480 48957\n12192 82587\n62896 81114\n15082 29426\n3020 78662\n32860 90345\n43740 65838\n83583 91566\n18963 97487\n8141 20592\n9393 27617\n29277 49592\n68893 84310\n57712 88917\n57546 98341\n36218 61128\n18643 27775\n7349 85604\n79803 99165\n48985 64205\n43146 54322\n22645 97730\n6172 37345\n16823 41654\n18834 56476\n45240 62154\n29768 49566\n37904 94122\n25216 31259\n40338 50667\n42802 65695\n10913 57459\n21633 71145\n50632 60609\n7899 71953\n3476 54371\n61768 83663\n8517 82239\n22251 92111\n7229 48447\n44083 98709\n69696 99389\n43963 82415\n5296 60569\n7496 34345\n62852 94927\n69453 82930\n3210 38318\n16425 30461\n36851 93313\n12923 90809\n24142 83548\n81089 81225\n79413 84287\n27506 34557\n22758 70049\n50363 85957\n8844 57645\n40264 95594\n61743 76954\n41774 95581\n2108 2223\n34896 68208\n16609 22350\n82416 88023\n11247 19881\n18138 52733\n25567 97148\n71061 71423\n22868 41093\n4853 60260\n28096 41612\n64346 88470\n79709 87607\n42657 64918\n70913 77519\n11793 98474\n22758 38719\n85997 89596\n42853 88278\n23628 74782\n44915 90354\n75984 85157\n72736 91143\n21524 66943\n32131 50320\n13473 27038\n62144 96543\n4136 57764\n13869 30157\n18663 62992\n12510 13985\n63907 83613\n30740 74301\n4699 64269\n33373 65443\n17191 45992\n51050 68931\n16064 79534\n86858 94122\n2452 82960\n7213 23558\n52519 58226\n76199 77403\n17803 74904\n68276 96128\n65920 73717\n17724 46748\n56920 67895\n50539 96630\n35244 72233\n16466 44801\n2526 97788\n1877 82397\n32789 73452\n25431 52123\n14690 19714\n35467 74286\n37255 41508\n41273 91802\n41316 57299\n24955 90895\n50963 90346\n21509 80899\n9029 50766\n67335 90710\n6028 94123\n11234 18370\n1686 65221\n13266 72669\n26867 31330\n4444 65175\n9440 53199\n67835 76599\n15274 54714\n12325 49368\n54635 89839\n62810 68585\n2425 91144\n19183 61748\n8901 96730\n12805 81560\n59058 95526\n23071 74168\n70102 73007\n44943 80296\n61230 74562\n34434 61758\n1694 22117\n15276 83529\n46794 92282\n459 52438\n28327 31501\n20215 65453\n75079 85590\n28776 95591\n39434 45975\n85523 94510\n4682 58409\n58006 86468\n43316 98797\n56280 75531\n65000 74706\n55491 66969\n1597 21359\n8007 15021\n20332 75823\n25919 65056\n11195 28097\n43363 52328\n73152 76900\n14508 35991\n18615 58732\n2427 46519\n83352 90218\n23405 50163\n29634 40362\n19644 85836\n9435 44989\n17818 24464\n6130 52309\n16350 81362\n3418 86066\n6514 87466\n15334 32179\n30198 73415\n40730 80907\n42064 96480\n36009 72402\n10638 32636\n11739 65820\n79346 97870\n35130 43068\n30475 30867\n62417 75743\n46801 98506\n81576 83892\n13895 55370\n30653 47946\n26528 42249\n55638 63368\n79713 80207\n65957 85948\n72566 95837\n19360 62702\n11673 34906\n8885 42900\n61791 75364\n4738 10008\n947 95454\n37615 54225\n12648 56696\n40103 58942\n44952 62659\n12188 12509\n717 67974\n3367 85803\n24694 80221\n26819 39540\n17391 70564\n44941 63439\n8815 71427\n13495 65298\n9261 60733\n8092 75381\n47679 81624\n1960 63544\n1643 80201\n58458 72806\n3463 49380\n56205 81016\n33403 60567\n18968 48979\n75257 96732\n18127 23206\n24578 28952\n5087 23264\n7380 31629\n37037 41470\n15189 58789\n16932 52729\n53935 93245\n62078 90883\n33628 60431\n6040 97413\n20779 21363\n9865 81744\n24758 45819\n10037 69949\n63844 98388\n58813 73938\n47929 69353\n18826 38652\n83965 97003\n2480 30670\n9889 76737\n66201 86712\n32981 53571\n12315 85118\n23414 30587\n39261 98269\n51705 75588\n49747 82798\n68656 83843\n17303 53887\n3003 45135\n21870 96791\n71751 86986\n20703 76756\n51077 70256\n53454 92830\n8563 49846\n22207 31330\n12603 72238\n25404 42713\n56082 78707\n11550 82596\n39180 64970\n5925 89935\n38237 99771\n9992 77370\n10677 85545\n3377 86929\n16091 63445\n926 33821\n24775 88886\n25408 29391\n68919 95949\n15462 56860\n65282 74767\n25161 34862\n15684 41673\n95088 95582\n48934 85990\n36132 39996\n4366 76001\n84078 97621\n24157 65600\n9999 75387\n31068 65281\n1254 86192\n23174 70031\n33871 47013\n32667 40378\n529 49739\n65350 77141\n35005 85995\n44750 46991\n5050 83048\n16411 39036\n22818 56650\n20355 96446\n40274 95677\n34967 78875\n34512 83010\n29061 73046\n25257 53881\n29485 92252\n46465 97532\n45702 53616\n25437 48761\n25456 88837\n4434 16369\n9968 38972\n10321 63564\n10460 21052\n87949 96391\n18499 29652\n64302 97778\n57473 74305\n16432 93773\n23500 70883\n83169 85339\n646 16906\n35249 64152\n44737 99649\n17478 35635\n4752 59882\n94066 97585\n73338 87979\n17780 21514\n7106 69939\n59170 64644\n7677 93395\n32839 93021\n7436 45985\n9143 16577\n5037 91849\n55179 57381\n10314 89359\n54664 59033\n51600 93224\n8339 79705\n19954 55348\n18015 36378\n52173 96325\n46500 93814\n90195 91097\n44013 46725\n24364 97555\n9698 29011\n53079 79451\n7331 75159\n59795 96928\n2589 62830\n19 44416\n21225 63291\n10930 15260\n20027 81411\n14480 87885\n67641 80504\n4215 41694\n14477 57886\n59862 84078\n25188 93392\n1942 18560\n26364 51596\n69557 74492\n29398 82342\n10514 33602\n57476 61257\n21002 27156\n15206 80558\n18311 73547\n22810 77850\n334 44484\n45380 90626\n28698 81133\n6113 86423\n34932 92013\n10211 73251\n22691 59756\n3138 74857\n37143 58054\n20033 25843\n40701 53364\n53241 84114\n70548 95960\n39298 48979\n26277 31149\n67468 88415\n49130 93339\n4255 50884\n54194 76056\n17728 48378\n21520 44370\n26893 84736\n51934 99797\n12177 82376\n70795 95925\n28613 94107\n41397 73951\n21897 31397\n32007 82642\n9266 49894\n48072 56206\n13567 69157\n54865 77181\n33842 43590\n15029 18985\n26065 45283\n36183 75582\n79066 92535\n17786 28523\n25731 79467\n859 80088\n66809 75544\n38898 72220\n82798 96761\n2391 30816\n28556 49043\n15414 22267\n5577 29870\n22448 41495\n33394 37227\n11487 26203\n17277 34366\n30169 38024\n13203 18625\n31318 42284\n63909 93122\n8163 22184\n80546 99013\n4249 89390\n26413 44845\n89590 99304\n35469 93539\n6198 7577\n69206 71027\n7706 57163\n51086 86963\n62347 99706\n1049 63036\n54040 54337\n69309 71476\n36213 42168\n19709 87505\n29570 81201\n11541 32647\n73520 85639\n1580 54287\n22436 25516\n375 3956\n17904 24897\n6016 89262\n64397 99512\n38210 61588\n33341 84199\n18093 96475\n31462 77709\n67139 84715\n43846 84839\n41262 73900\n24095 81665\n10221 97651\n23126 95214\n276 45302\n14482 35895\n84801 96267\n72058 96887\n52 59424\n47742 61256\n59775 84607\n11362 43452\n17270 76148\n27636 88517\n43858 49907\n37712 46344\n64002 75008\n36338 46506\n14933 94525\n6724 52793\n32178 77250\n70783 78698\n32883 68235\n3818 10721\n54566 98430\n10283 46080\n4878 81698\n61888 64697\n19118 36030\n50937 77024\n43120 62372\n692 29583\n14173 57607\n28183 50376\n62184 95930\n55481 78491\n3034 88153\n46550 49121\n14823 46139\n3066 45940\n7291 65513\n26923 53413\n11590 96593\n63119 87003\n35354 78954\n16053 88424\n37396 97724\n19979 23325\n22295 64813\n29893 41483\n49050 66441\n4454 14529\n24872 61868\n26013 77726\n14174 61498\n19939 64734\n23958 80297\n27238 60109\n28922 90122\n24829 37408\n3319 5872\n42863 50617\n20088 33739\n23360 77194\n28241 97918\n59248 75887\n38869 94504\n5867 79680\n17843 50113\n41928 63018\n2597 18701\n11115 54642\n70210 92793\n79031 79497\n48926 54015\n19411 59506\n27710 28555\n27955 97803\n36205 91230\n45037 54974\n2248 81390\n73746 87050\n44974 89858\n28276 37042\n3881 15795\n41232 50687\n9344 32578\n71905 99163\n35278 81528\n65629 81701\n29813 36255\n12869 15797\n44333 62072\n22968 93935\n20085 92694\n24951 78118\n16589 65309\n47055 56183\n8559 89088\n24752 73989\n36339 78343\n36178 50336\n69866 99309\n36976 38174\n13271 32854\n63605 69076\n8210 31216\n57304 69582\n28372 70250\n71178 76114\n10930 25211\n47030 80539\n54904 75019\n569 32036\n41322 96477\n48183 85135\n20457 81928\n10375 89499\n12743 96720\n41310 61677\n47051 61070\n5375 49759\n56928 69368\n6882 74833\n48156 65578\n15583 84251\n75535 95180\n2678 18780\n3263 97593\n3821 33143\n5986 87918\n95435 99335\n17542 17827\n84589 94586\n51528 82754\n7306 97654\n385 37850\n43446 99631\n26323 27859\n11415 48250\n43073 79792\n86154 98929\n75102 84134\n33696 44947\n46302 48143\n20798 30511\n70329 89894\n7022 62562\n15909 75010\n41347 77409\n19801 46020\n13856 62436\n20648 94304\n25279 49528\n34931 41039\n54444 83193\n76733 99219\n53166 75689\n80372 93723\n12044 61141\n6868 64561\n16419 58945\n2301 38901\n10130 39569\n54207 97602\n20849 49214\n67050 85249\n17332 58434\n27318 61665\n12923 71984\n17587 61025\n53927 65628\n38727 58389\n3130 53602\n6827 24412\n68710 78328\n16863 86900\n71497 99809\n2342 60446\n51520 59792\n78 33647\n15330 87253\n8725 99054\n77686 85151\n24805 94961\n50305 66495\n47970 90143\n37732 80854\n39198 60691\n54993 63356\n80885 87596\n85322 99612\n13987 59043\n41834 92056\n85919 86578\n11075 62484\n81361 87495\n20960 42470\n26438 44575\n24940 29852\n15190 78728\n64107 74599\n26089 48769\n33403 53337\n14358 67679\n46327 84909\n53405 98551\n157 1091\n47077 87549\n14508 61030\n19515 88967\n7749 32760\n68661 95966\n13271 27029\n36595 91603\n689 6547\n12287 42362\n17433 90739\n10931 49588\n6167 68496\n7514 67817\n48321 82925\n35161 86894\n15222 92910\n1788 38137\n23535 59131\n29787 58778\n15521 66061\n12887 17323\n25567 71629\n38487 61531\n34860 48298\n73965 81920\n53512 66984\n20623 93267\n71600 90844\n17885 35169\n49404 90800\n3357 14297\n35724 62519\n56261 57824\n14984 92301\n3287 97572\n51916 86925\n40784 43027\n47403 93433\n33276 41971\n56288 86119\n25103 37193\n76576 82105\n51759 61671\n10408 52182\n60852 88320\n50270 99295\n18215 73220\n45559 91262\n12143 35085\n15154 28869\n33931 67711\n5720 95428\n32251 84126\n42494 62502\n94695 98864\n13653 49908\n8482 82562\n35703 46749\n33990 38919\n1249 92522\n52586 94146\n29081 99857\n88022 97332\n55946 66294\n587 17620\n65921 74613\n46683 95787\n3467 26089\n10191 96333\n52628 81713\n36559 52691\n8892 89935\n76266 78187\n75024 75885\n22127 59265\n78007 89467\n39981 69849\n44128 94399\n25380 40495\n54376 66067\n22558 54841\n11978 49937\n4909 45599\n19848 26481\n3879 29203\n13362 47921\n49056 96263\n22129 27472\n26412 43953\n9029 29635\n68562 83532\n27469 78242\n18889 78129\n83130 97562\n7417 69931\n42761 63844\n10773 36225\n33110 93752\n5668 84460\n66694 73441\n37424 55697\n65435 72872\n32842 92884\n8133 13570\n34485 85754\n42309 64829\n33281 54823\n21752 25125\n34334 69565\n762 36529\n20049 39214\n33682 47395\n296 4849\n13953 57410\n52210 63474\n1615 63999\n34080 44991\n14445 95435\n42315 92794\n66196 76591\n30193 86442\n2902 36346\n37286 64433\n51347 66965\n19923 94956\n1154 21143\n22705 79363\n26953 78967\n13616 61939\n51499 66379\n18297 83034\n21031 93453\n24790 78241\n1524 96173\n8632 92786\n22411 55512\n3514 40436\n54619 79332\n55953 95810\n33574 63946\n87134 93382\n35202 53971\n24342 34654\n42346 47219\n44662 65230\n5724 67090\n54116 59708\n12981 31916\n57898 85977\n63587 72083\n10496 88623\n34993 75474\n72341 91726\n12284 96625\n62951 87800\n47878 94010\n16954 70655\n6171 97291\n8324 67937\n20625 68966\n36163 51624\n7558 24656\n94114 95636\n77450 85010\n8208 27845\n58208 68252\n28134 44773\n8884 41418\n14712 44846\n34246 49526\n48593 88311\n34621 93314\n26863 93803\n39236 80029\n45774 83806\n64626 81464\n48406 72250\n10962 45475\n10972 35526\n64194 93639\n18080 71070\n14162 70009\n79970 90814\n89340 93467\n33389 94163\n47923 95369\n24316 64093\n40472 50441\n22060 24831\n3658 70266\n45421 67685\n35936 36384\n3627 77726\n1315 30636\n41076 55550\n21069 66208\n39996 57278\n5492 15559\n90038 90408\n9737 79727\n45011 72041\n69109 70096\n13270 20291\n49290 99859\n134 28276\n60886 68408\n73760 99726\n54882 63651\n91758 95640\n25589 79683\n61155 76482\n43948 72247\n57154 91497\n11808 42820\n19229 77354\n776 32874\n29312 76135\n18967 85165\n61664 97187\n21932 47287\n51057 55665\n26811 83485\n80667 94091\n49439 93071\n50924 89953\n12619 28606\n47891 62388\n5942 72128\n48034 93752\n38047 90168\n50936 69726\n59188 79708\n43369 82427\n10812 97380\n31310 72928\n10955 57360\n76929 78588\n48061 99431\n60928 68714\n10254 90988\n14734 80619\n20248 32501\n29550 94843\n12381 68351\n10687 40944\n35002 43845\n18949 54755\n45497 79328\n11186 73657\n20268 84375\n57897 94346\n12393 31761\n33514 40054\n5357 83776\n18918 83882\n14382 58879\n30299 62509\n1861 71592\n50070 50650\n7694 24474\n16696 67002\n8072 52746\n46590 57358\n72432 93238\n60115 68256\n3835 89239\n27022 80275\n55452 68133\n58473 68421\n8769 51636\n47976 84676\n3057 18308\n90493 97044\n11204 63081\n18620 55428\n48952 57830\n78550 87892\n5698 12770\n12994 82777\n3687 63335\n35519 81216\n27493 62738\n27079 34735\n50475 72294\n30123 35502\n23688 37612\n46456 69462\n36117 59883\n46816 92323\n20910 30958\n23253 68386\n14300 77557\n47798 93620\n12506 26103\n20397 72556\n43277 85098\n24349 65527\n45935 69309\n3381 74733\n52618 90781\n4820 75278\n82961 98316\n6660 34203\n798 25938\n75330 78313\n22064 75084\n57122 93851\n36552 83286\n76547 86092\n17914 33945\n54721 77544\n15609 72729\n93930 94697\n62550 72981\n7085 25605\n59879 97613\n7077 50682\n13077 39102\n22642 57871\n52964 84008\n54235 73029\n48626 94120\n6539 54188\n24578 29051\n29245 77181\n35015 80609\n33809 47201\n58487 70849\n25595 81546\n77913 90777\n29195 85542\n13044 75267\n7695 90563\n37561 85536\n16719 80141\n26890 62512\n7870 57472\n69246 85275\n19765 78765\n5256 62483\n65658 92417\n83187 90323\n24484 56273\n21339 78155\n43366 63174\n13196 77815\n48546 88492\n36967 64831\n9807 51096\n22545 88556\n4226 96103\n44785 95323\n1379 66538\n24826 91052\n67845 80656\n28629 55136\n53342 74614\n35449 88203\n70433 78457\n27443 93574\n3897 21435\n37847 79464\n26785 99490\n38671 78741\n45151 62723\n1955 32490\n43074 78178\n60909 64552\n26655 52631\n58478 76227\n8611 77204\n18197 86764\n21193 47507\n11018 97972\n19415 56552\n661 24035\n78600 85377\n2722 51377\n20870 50375\n12949 89467\n82707 97642\n26053 93045\n22661 66986\n43502 97697\n43149 56008\n28379 81079\n6258 63104\n51870 75306\n21831 97786\n23291 60888\n3442 65927\n21503 49685\n17217 94555\n9160 38126\n25641 61140\n31967 32446\n19373 32240\n33027 89613\n30147 90009\n46688 86563\n89157 90531\n3235 44036\n24236 35797\n63502 87344\n637 40830\n42398 87877\n66688 70702\n2818 81282\n17236 58351\n61121 88690\n23018 73416\n52756 66948\n5505 96866\n21689 82298\n62468 78906\n9587 99839\n47147 75941\n36511 87598\n35607 70901\n39875 46204\n40285 76664\n41149 43010\n55417 72378\n33496 49729\n15607 41448\n6138 51280\n13890 67226\n35100 42757\n36269 71093\n37450 94181\n7589 36918\n16085 41025\n17296 35111\n32614 59412\n45103 78512\n19649 44636\n9738 68560\n13591 58419\n58722 74071\n33820 89206\n10250 93515\n69939 98713\n16155 61573\n7952 77212\n21617 49243\n19626 64539\n8965 25320\n63564 85867\n28469 94597\n4232 8006\n18293 98540\n33294 93689\n7739 18100\n7450 59697\n30074 45275\n32693 40928\n33239 50035\n10369 51728\n2993 5676\n13095 34378\n4568 48792\n92899 96993\n19095 46467\n28243 87612\n45583 69049\n42932 46050\n15004 34608\n40081 62222\n28806 35271\n42002 98817\n37716 99973\n30806 81013\n24105 31957\n18406 51242\n86359 94028\n36706 94518\n76539 80623\n67992 86053\n27790 46400\n4265 37506\n7670 58336\n9791 14771\n23940 24321\n17274 86757\n1907 52430\n31520 38206\n13964 88751\n479 41391\n29374 61016\n101 30128\n9000 26036\n47219 83644\n30110 53695\n55309 60098\n590 21207\n51473 80499\n13636 25072\n55578 79170\n36639 57742\n53384 67652\n4932 56642\n6525 6576\n55239 73334\n66262 67221\n10589 91789\n31717 65015\n10933 98939\n45531 74023\n6300 50281\n31188 69958\n31178 63556\n37937 73291\n59381 81648\n40078 79159\n26540 71423\n32437 39037\n8196 63009\n49473 85967\n64457 91161\n18260 39507\n48036 50963\n5271 23657\n16119 38151\n24400 69923\n11461 30085\n21039 34459\n37620 82125\n42215 76154\n8490 80744\n21218 41295\n35715 47621\n16869 81484\n71069 75917\n36170 57657\n11334 26260\n61824 97817\n8947 12321\n49460 52770\n31112 56617\n15261 52330\n4134 79265\n722 59641\n43573 53005\n64606 98361\n49179 80483\n23315 61366\n10749 62755\n74634 79532\n17401 83249\n35041 66824\n55305 55359\n10080 78610\n13428 14004\n23313 84870\n9735 63610\n55295 89277\n32892 36449\n46583 68699\n33358 50048\n2644 78849\n34089 40675\n46497 60068\n21740 91895\n62234 82486\n45196 51021\n39335 78609\n17188 49701\n28711 51228\n42605 99332\n48646 67038\n49511 65524\n49465 83449\n40658 57040\n31613 46207\n53935 75684\n71714 95884\n50559 96669\n53157 58054\n22340 48983\n21290 31734\n19194 77485\n33632 67630\n894 66980\n54154 98350\n16207 44328\n21434 81291\n53488 53558\n33860 87261\n3515 25385\n6433 14131\n76732 86377\n38681 55242\n49892 54663\n30172 41322\n594 69513\n11940 63069\n20965 21949\n6503 31862\n11161 75394\n12363 43378\n12646 84796\n61007 99812\n48263 66196\n26771 85177\n14958 47923\n89760 97796\n5930 63929\n23284 54242\n34860 99620\n64820 65479\n48277 81649\n3501 81606\n37386 73282\n39942 84899\n33515 40892\n10124 20822\n57406 93690\n40691 90441\n15890 52412\n72974 78249\n19119 93099\n63241 80122\n27186 83280\n55021 83186\n78303 93592\n5698 92165\n37224 78937\n30503 48795\n77913 89770\n30642 77122\n48697 69523\n86543 90153\n19124 86631\n5010 48317\n3181 39197\n5301 87854\n43363 52125\n14754 84154\n50298 63288\n62700 85081\n26735 70815\n18393 33363\n6749 68072\n43467 60971\n42319 65266\n5547 47802\n71357 96019\n45437 51997\n51504 80588\n7746 85911\n264 63264\n32692 54493\n36966 89210\n36101 76450\n1974 90475\n25810 66986\n17656 19169\n68296 77976\n31479 99836\n30546 96218\n8604 77744\n42528 84567\n24887 43655\n60801 80042\n8300 66184\n25722 44815\n15556 34436\n19876 74887\n63474 70680\n20896 77899\n5979 85245\n78345 95432\n82954 96335\n47464 91220\n40449 70294\n67490 80661\n57339 59503\n56648 92782\n51426 58820\n29044 62214\n53017 76585\n25852 53674\n46503 49745\n43095 80931\n67671 78862\n61528 81310\n2755 39707\n88226 90361\n51014 98416\n5320 98470\n14086 47017\n94489 96531\n25530 44639\n47064 99837\n17405 24164\n9017 48214\n49958 55321\n67899 94461\n16690 73470\n634 81437\n16889 78548\n57194 67509\n7944 70028\n6706 10581\n63390 73083\n83156 98272\n292 66424\n23633 30751\n51967 69014\n64944 78611\n34564 55869\n71190 81508\n8064 72613\n39097 83703\n8516 19601\n9902 72546\n89590 97357\n25648 42774\n2012 42125\n63985 64513\n71458 90963\n87127 96211\n13424 85819\n26952 65348\n39469 41838\n21521 63701\n24316 95568\n13249 42321\n34895 92615\n24607 98726\n23982 41245\n1803 95924\n12744 47462\n34309 88671\n10768 58014\n22602 70986\n28595 74161\n1010 89404\n33538 53775\n32069 38108\n21423 24581\n7958 23576\n2305 57911\n1149 85024\n65319 83410\n13346 83921\n40865 68783\n72534 97163\n82737 92801\n63451 95810\n14698 17514\n22053 94523\n43057 60238\n27585 54835\n9423 13971\n22076 54463\n2218 94281\n8331 88041\n90394 97789\n44763 56491\n40941 41538\n3532 8721\n27182 30840\n23351 51465\n46862 75627\n42530 69529\n44838 47538\n21988 71752\n13242 40171\n37672 52790\n89367 97517\n17993 65882\n14998 85434\n28486 71377\n35394 70066\n40471 89846\n31724 50269\n26039 80946\n3263 5595\n14018 90426\n76386 80238\n81904 84677\n44991 76849\n48111 89283\n43155 81527\n47548 96803\n63169 98792\n21162 69814\n29612 34050\n4313 83218\n56805 63773\n40050 84915\n3568 30470\n28316 83086\n889 55112\n42779 52300\n62965 66490\n42632 61776\n32425 51618\n14649 32982\n12551 62725\n7266 29844\n6795 20222\n72907 92573\n36050 69153\n43626 68462\n34536 73125\n28344 36842\n33818 50753\n43185 58724\n82613 84691\n58915 80199\n19907 79541\n50396 73085\n24706 93194\n19757 96428\n78243 93472\n56577 72416\n13140 44989\n1675 27655\n11044 26229\n52755 89784\n28086 31566\n3879 82958\n31451 32163\n37112 59470\n40859 95342\n13120 16937\n79323 94152\n70504 89890\n28375 54274\n42696 60920\n29370 46677\n4476 49110\n62428 93607\n14102 92716\n16644 71341\n11351 50862\n30527 72238\n69369 80948\n17487 57388\n30462 93928\n55719 59312\n55803 60332\n33695 68362\n34028 83718\n24515 43460\n91202 94112\n61414 62320\n66349 80563\n17762 24868\n2772 56290\n43925 91950\n34443 41902\n91048 94748\n57211 93936\n856 11129\n13611 75407\n16487 47797\n17546 41103\n11300 39641\n3119 45740\n61333 83720\n69964 92146\n33462 52795\n32990 59788\n1180 32958\n55345 55417\n50579 88252\n28594 46588\n13843 16945\n86885 98106\n75697 95348\n66184 90832\n63206 94930\n34700 58940\n20502 26536\n5299 79751\n19152 28328\n16348 90519\n83199 96806\n38159 66542\n24498 52657\n9586 42289\n52979 76573\n40971 69567\n18931 74111\n32511 59161\n29511 55335\n9099 11664\n85860 91088\n53713 85857\n42508 96354\n76186 80556\n72797 88228\n62090 82556\n42638 87384\n44996 79289\n48784 93934\n4096 63277\n43463 68387\n15599 86672\n7915 92716\n30503 55257\n56864 96153\n8849 62103\n25930 29787\n28428 65418\n16207 57275\n91856 98334\n49959 54951\n15222 41633\n67518 79631\n14932 38905\n35170 82622\n52274 55631\n7740 60883\n26649 51575\n1556 6834\n35442 85890\n4660 67461\n32912 40104\n21920 89742\n12780 91147\n35084 88895\n52652 66562\n26498 89363\n7792 60434\n14987 62785\n28452 46458\n531 19980\n6542 92300\n16760 34427\n47289 89565\n52276 79275\n55776 57289\n36269 88378\n13501 42395\n20452 52732\n75018 79930\n13353 45845\n67472 92705\n13492 94997\n39236 61224\n7373 43620\n24686 40341\n42910 63750\n87994 89257\n12795 25255\n9042 11272\n4986 27027\n16801 82960\n3916 12548\n7877 13760\n50719 70422\n17814 44300\n28182 35136\n614 33922\n45323 46407\n33782 73911\n2073 63850\n6270 49913\n2606 10670\n30418 53295\n7574 83834\n23088 98172\n24763 98603\n44110 65472\n21470 90872\n17027 79214\n55126 74424\n32834 66148\n36312 71431\n3514 47380\n25116 61753\n30924 48365\n21771 37350\n47709 65738\n3478 54359\n7467 66118\n38011 70992\n92866 99777\n8494 13691\n4677 76438\n439 96676\n83706 89654\n16200 39344\n55783 59762\n49676 90862\n41721 69529\n79425 79776\n19697 76302\n19977 75399\n72880 94384\n44264 65956\n21810 48888\n38851 53141\n51491 76845\n65534 95467\n54030 86067\n48936 54798\n30312 85599\n7143 43747\n57269 76763\n71556 84431\n2987 14356\n2697 7286\n2693 99332\n69182 83708\n32556 49361\n18243 93634\n63998 90395\n20659 58220\n41736 64431\n22977 66824\n43541 43703\n50647 74476\n41479 68118\n37027 69248\n32958 93815\n17739 32949\n56835 67969\n60447 76298\n13619 66866\n39912 79803\n50449 96799\n46589 77609\n27769 70087\n1361 89943\n25440 38663\n5007 71975\n51733 54938\n44419 74547\n37550 80413\n10668 50198\n27984 34746\n5967 79331\n5647 23250\n17069 58552\n4209 61987\n17906 30811\n31063 59006\n39942 80988\n46140 51758\n13599 69114\n21097 26740\n37702 63232\n62326 79521\n4784 86021\n44531 97642\n20186 85606\n5858 92315\n9460 28076\n29065 68759\n81427 90074\n18694 42470\n53464 59797\n30228 99114\n36480 70553\n10505 21514\n26938 94644\n58062 71732\n20110 31228\n6123 52756\n52731 62143\n48841 75068\n16611 68305\n8077 32927\n18461 51635\n18173 51725\n1928 5524\n27650 49012\n16284 73506\n12372 37297\n32960 78446\n27022 60178\n40654 56646\n8642 76049\n31495 49030\n18604 65247\n20637 46747\n14242 61065\n58397 94700\n11842 59694\n7233 48422\n29941 67415\n41010 76187\n67595 84336\n62506 67260\n29654 96278\n52923 86188\n50495 70515\n41712 99714\n7224 38265\n1388 98440\n39479 49118\n18008 60252\n85429 87353\n35263 86404\n565 71239\n43786 64480\n59922 76898\n14856 78909\n3888 26766\n34617 41016\n41046 51418\n2122 64509\n49703 76356\n11509 91051\n41804 43151\n8134 83059\n4354 30883\n67639 88133\n18607 94183\n7025 99218\n38861 90148\n10805 64049\n10296 70200\n6201 61013\n44225 86698\n49378 79828\n23069 80051\n1630 42800\n70024 73368\n58101 62134\n37712 65525\n24779 93821\n5205 75081\n86848 97557\n4124 27861\n5644 18112\n22486 78396\n11177 68503\n48750 51502\n12719 58982\n9491 40272\n63435 72989\n21762 40722\n9894 78576\n9162 63270\n41962 74772\n48874 77289\n17853 25677\n38393 56538\n17942 86826\n20572 60554\n28257 66499\n35996 71487\n52220 73766\n66078 80965\n29916 65394\n10973 64696\n11824 70521\n37906 71015\n51840 55043\n14975 33360\n11815 50665\n55572 62208\n2744 79974\n27046 27316\n31810 65025\n10374 71378\n46813 66648\n10117 36990\n18886 66571\n10733 83253\n42051 50519\n41149 86349\n39147 93687\n44045 60581\n27715 91151\n44110 46112\n17571 37315\n67779 73212\n10240 32074\n18431 97034\n47795 53328\n4446 49797\n25275 25508\n85077 95481\n9250 50878\n45000 56510\n66209 69496\n5421 14408\n27617 99310\n74138 80633\n18376 38263\n20718 81538\n18795 31934\n8061 28714\n18277 37416\n62556 93554\n17239 86893\n43733 48925\n23432 76522\n16336 67333\n28835 80906\n31211 92236\n64267 80028\n54198 90786\n22435 83834\n9848 36330\n17293 94041\n58672 66073\n31622 35419\n25198 41420\n65556 69596\n12190 34169\n43563 47111\n40009 85622\n17772 53301\n12037 61527\n19099 26690\n29460 82472\n4280 54711\n3947 19872\n25627 64736\n217 38496\n15787 96222\n28141 77268\n27847 88659\n26230 81307\n1735 49858\n34799 69425\n28272 41927\n6698 32348\n13984 73588\n64124 79925\n14131 68353\n65136 69371\n34058 78125\n43288 98340\n11561 16215\n57490 63558\n17194 18665\n4424 5791\n60196 73574\n69853 80870\n44769 96490\n18446 21171\n1034 10520\n83828 97325\n61267 95409\n39221 61317\n17463 61770\n5179 25408\n11672 34769\n82690 85159\n61604 98429\n26815 38648\n7694 47271\n2198 64627\n80537 99744\n1645 79721\n15476 37643\n33813 86315\n44637 80784\n8985 32114\n11123 15176\n41161 63584\n46480 60996\n19327 86322\n62676 72699\n64447 70991\n490 96682\n88274 89563\n2790 36216\n58282 75357\n2879 9232\n25020 43304\n36793 61187\n50548 84279\n61334 95972\n7041 52448\n7555 78386\n12293 69338\n12899 61574\n51134 58558\n77637 99767\n45592 54744\n23628 78470\n42972 99771\n5224 96398\n31208 98795\n28286 93880\n38899 97545\n29071 51878\n59456 96959\n33020 95955\n10795 79342\n15584 45041\n67753 88002\n92340 94236\n2946 33032\n14155 46371\n44749 73548\n1297 25418\n12420 23691\n10513 70991\n27173 32742\n37706 76838\n23353 99193\n19288 53632\n16058 26664\n48084 51225\n81692 88392\n4833 39204\n17438 72080\n8794 50023\n28156 47506\n68994 94589\n20921 88900\n60896 69518\n27252 56765\n9315 27981\n49960 97980\n51810 73703\n18780 66483\n48280 78806\n3641 41011\n39694 63601\n4863 58259\n14155 73684\n26191 28101\n4338 67785\n6753 87897\n9399 83534\n35601 68681\n13717 72919\n48398 49393\n95539 98840\n9126 75826\n76522 76829\n87439 97385\n50252 58706\n74696 87352\n41979 79812\n40914 49459\n24552 42857\n19417 35288\n59809 62667\n2094 9641\n14647 20743\n57389 95462\n13879 18784\n19458 27971\n34647 60795\n4171 43864\n25987 81409\n58496 63868\n31271 36502\n85710 90029\n12883 82631\n77743 78874\n52367 60551\n34908 78285\n22373 58598\n82916 96145\n20538 76643\n52476 99895\n37120 86415\n2075 12283\n2632 55726\n86629 95109\n48573 98090\n40894 65087\n29207 43400\n20231 69705\n70481 98108\n24422 41162\n8588 62389\n3999 80359\n19817 83118\n7528 31654\n38346 78607\n61077 94202\n17597 27522\n28328 94289\n58228 94062\n83324 97835\n3321 23564\n36507 66077\n49210 85545\n42338 91907\n18303 35324\n13268 81737\n2504 16923\n12696 12718\n60112 94535\n18164 98909\n39946 74853\n6060 79913\n37660 57996\n47138 55716\n61110 78482\n63976 87201\n57289 96277\n15617 61711\n65632 69812\n7029 12953\n16832 89168\n46073 73900\n60888 70912\n39443 74650\n7820 43617\n36329 46199\n13887 98140\n12155 66574\n36821 94450\n55840 65138\n1269 10472\n15477 44661\n377 18814\n1544 99116\n10973 23910\n29356 83646\n3555 40779\n10881 85427\n37069 37811\n11284 39695\n5304 99591\n70847 97157\n63218 86395\n30857 39543\n10854 84625\n15905 36831\n11477 72136\n79400 85889\n10667 18039\n25390 29318\n31062 91392\n15477 58926\n19501 75412\n79185 96238\n47933 79834\n26044 35000\n40126 69966\n69729 82674\n49287 71585\n28164 28204\n34733 71700\n2377 49398\n8759 54899\n46771 95816\n58810 95072\n22726 80244\n2096 38169\n15294 82108\n43647 69590\n33515 79436\n5024 13282\n48099 72090\n77412 81816\n43596 87803\n52708 98667\n68004 96534\n26426 40913\n27071 63179\n26976 83963\n17814 93182\n10653 12696\n8200 60544\n60087 87056\n25863 51341\n26996 32876\n35381 82644\n49357 64747\n1975 19003\n73870 81856\n59779 86986\n19932 69985\n4137 59492\n92957 93794\n70740 84822\n46752 55744\n5674 37713\n57097 85340\n18593 93792\n7645 64016\n73697 88178\n13564 28942\n26036 32739\n74080 80036\n30280 65935\n6123 6418\n34844 77742\n52030 78436\n1885 82912\n21080 51021\n51619 96088\n24498 44951\n17898 65532\n1616 69578\n1016 50852\n35100 97909\n40149 77498\n24963 61305\n18492 73994\n39776 84374\n33927 56817\n56053 86959\n532 52155\n46219 93355\n8468 75159\n12614 68861\n74873 79091\n61665 83213\n1718 69184\n42377 87861\n13131 23448\n7335 55399\n28814 37347\n44504 92319\n29403 95735\n25430 68086\n28001 81018\n10558 93431\n19997 54825\n14668 82249\n32990 47781\n77933 82251\n70325 82925\n34822 93928\n55845 62569\n32282 63757\n4977 93755\n19206 96835\n13785 77389\n27273 61474\n20142 23635\n65242 82130\n11548 61674\n26143 59785\n10433 62436\n20388 93174\n75899 77892\n17852 91625\n50145 73817\n44161 87249\n17747 73371\n31773 38440\n29700 60930\n46853 77213\n2974 39657\n24031 35092\n29708 36109\n41450 78263\n21302 68562\n2194 29823\n3687 87362\n20900 55125\n49818 69924\n14669 17138\n18026 83008\n31674 53462\n16908 90603\n22705 90192\n7644 34033\n47915 97254\n17608 39109\n13204 45941\n12460 53632\n84682 99560\n46233 46719\n31935 56998\n16328 52931\n29980 73655\n39699 69693\n29715 52192\n67948 68591\n29022 83905\n29555 48782\n205 88310\n75862 97684\n69969 78017\n58588 58944\n12178 51586\n44420 75316\n50797 53603\n58442 96322\n82505 93329\n50879 64407\n41743 87220\n5593 85169\n79550 89748\n23937 40189\n1990 68042\n10912 28400\n40527 56114\n36932 68382\n46657 52016\n33389 99286\n26575 49217\n70263 91053\n53353 70545\n56548 96134\n40247 90023\n57340 57573\n2421 39130\n26253 73503\n34311 51287\n25070 85880\n36033 37409\n6560 20937\n12467 32933\n74472 97651\n83986 91536\n17070 24195\n11949 54658\n9148 29251\n79021 83374\n55148 77165\n14881 29111\n15851 83607\n16088 59769\n48892 95606\n60792 72852\n72949 94810\n38544 86782\n11038 25689\n33897 38874\n1272 57694\n82509 87484\n4518 56776\n51705 85626\n3584 4818\n58567 84904\n42535 56091\n53826 58050\n17742 55815\n21492 29672\n55065 80225\n52934 69621\n5101 37612\n21737 40473\n11873 45400\n56133 82719\n10249 68198\n68352 79277\n64663 97743\n60217 88266\n60796 67931\n31224 39227\n42716 46037\n16645 79784\n15892 80264\n31024 73073\n9999 18206\n1667 12052\n21712 69176\n3903 10030\n20958 59880\n47539 63902\n66673 71068\n43148 89142\n69263 78137\n31335 41913\n17415 37635\n78766 80462\n44388 48658\n14568 38712\n83286 91003\n46628 94363\n88060 92813\n74766 81608\n7394 94036\n46343 79379\n27844 29087\n19694 23705\n49839 72142\n4921 43590\n53343 82211\n34985 66205\n2408 38024\n81776 90062\n30677 44281\n8479 71044\n78435 84744\n89466 94323\n41099 56344\n3233 52092\n76115 97693\n4306 45409\n90590 93026\n26496 52775\n49653 52443\n43860 48911\n22626 50185\n10639 22970\n14987 72974\n79534 86708\n53678 88054\n3521 39143\n47967 97411\n6540 54747\n26392 51438\n23435 32903\n59432 79207\n69431 88886\n15411 57288\n48275 90570\n51188 72178\n1231 56678\n4749 42174\n91225 93821\n32757 82298\n51831 78669\n46357 92214\n61385 73294\n31209 34540\n5104 96237\n20478 52883\n40907 65586\n15009 61155\n20876 44229\n70753 91882\n12535 68037\n2960 15055\n62444 91572\n40002 68304\n76382 76731\n73135 73617\n18163 35673\n25583 40864\n19864 81372\n44250 92804\n18217 25962\n20255 74889\n21793 91442\n407 62705\n11001 81925\n58168 69176\n22503 95598\n11360 84373\n39043 98745\n38356 46480\n40349 69958\n1486 1869\n4520 96860\n6363 30683\n88529 94289\n96006 97520\n10711 39624\n7476 53765\n70726 92696\n11845 31880\n8634 85145\n51350 97006\n82384 99945\n37602 68729\n18804 99190\n3797 49204\n31898 34533\n68524 82210\n3863 7780\n61175 93529\n38482 71027\n8707 22349\n75568 94179\n5803 86570\n28469 44242\n32528 86434\n80391 89684\n25720 99478\n21097 31924\n36253 66778\n42636 66956\n52538 79843\n12279 17958\n15235 49500\n34260 88004\n34738 63487\n46639 91738\n16827 38775\n64778 66768\n1902 31621\n91583 94475\n20783 70279\n73768 79183\n38044 76303\n20176 43075\n27539 64512\n43983 73427\n22823 24623\n15773 79955\n31911 64531\n43064 52612\n44189 86531\n15899 97783\n38172 42735\n60571 90817\n28167 30164\n41658 68528\n63574 76413\n2683 64751\n50639 81866\n66844 89542\n59584 70557\n10525 16452\n45990 59410\n8214 70179\n6138 60707\n22088 28230\n20914 87659\n72680 98575\n12905 16010\n11392 61736\n19618 70101\n2937 39981\n4124 80076\n5299 8733\n75714 85823\n7795 85310\n25353 70128\n13122 38645\n72188 74728\n15645 26204\n70268 96814\n34137 43890\n7766 48787\n57269 60790\n41921 51346\n59575 60023\n14962 89626\n36720 94626\n34460 36197\n2397 53253\n533 71238\n89915 99872\n3805 36466\n10219 91879\n10049 18763\n27835 39506\n25523 89559\n48079 70807\n37601 56712\n2359 81265\n53254 92152\n37761 63588\n50412 80953\n32856 88781\n72271 79961\n45099 96851\n49887 52112\n31328 49370\n18037 73970\n17626 21519\n81528 97902\n36612 64876\n13743 69262\n68844 95293\n16298 73057\n54623 77550\n38840 91239\n27656 63057\n19983 65786\n34157 79483\n57703 76667\n38685 68046\n43046 97983\n21615 27042\n48130 68798\n75504 85797\n31852 96413\n24096 98425\n7346 97313\n37008 68393\n55759 70346\n12126 37176\n19016 82907\n10567 93551\n25223 48038\n23694 87643\n71588 90850\n13730 73644\n22648 40922\n38629 74731\n55197 76091\n52969 71967\n44913 81874\n21779 34962\n24035 43648\n18599 84033\n28115 57933\n33910 55188\n65501 84985\n76225 85612\n45743 92978\n9955 59105\n36730 63772\n87345 95318\n58677 78457\n7240 80849\n11950 50395\n10490 31254\n49634 91728\n55175 75424\n28378 36929\n21900 52544\n8793 20976\n15718 21212\n35600 85078\n12722 34502\n41047 78097\n6983 55306\n26293 64144\n36901 42270\n11394 19011\n42958 62994\n16571 75701\n24838 56041\n27822 42470\n35520 55637\n52838 92680\n49068 59015\n15263 60952\n36611 66738\n62209 65227\n11995 66068\n51098 83891\n14148 36477\n8849 25348\n41340 77014\n22123 35511\n77957 99526\n30126 69515\n21575 49261\n16738 69598\n2649 17657\n55500 56287\n9356 43861\n8289 21182\n25523 52244\n27325 89140\n21390 74706\n53938 69480\n2592 83894\n57284 72683\n55003 57556\n27109 64371\n6984 72609\n18030 47187\n28668 56238\n6671 90227\n27202 43609\n5465 75858\n37907 81106\n9530 35094\n41301 85140\n13124 52895\n21830 91975\n33893 52371\n21579 68480\n46888 76166\n42717 97191\n69211 98258\n3146 41614\n18813 98203\n13726 90526\n63912 75928\n40677 73552\n19614 40648\n93886 95229\n5358 82353\n2265 27932\n29392 80094\n27492 99840\n49881 70627\n13956 77266\n19608 44621\n42080 62108\n56373 90867\n72318 85859\n46058 91525\n17684 43741\n7384 11015\n51600 73151\n16959 19276\n36965 91292\n12588 82744\n39116 76779\n27382 38245\n60783 72568\n42649 75011\n30961 90719\n13626 41433\n25419 68369\n87884 87936\n484 1883\n8215 20573\n72383 98392\n22717 62665\n41966 81685\n4399 4693\n24703 91274\n84996 95837\n5681 66494\n31129 42594\n73434 85821\n19993 82835\n20293 74625\n55778 63608\n49112 79050\n18592 81178\n37852 89923\n1811 74055\n6032 45282\n6858 58052\n77378 97111\n61666 97949\n21928 84857\n27755 99456\n51948 78905\n8104 77864\n901 12590\n1212 62795\n62393 81002\n5600 18480\n67130 83269\n3811 48013\n51570 93336\n15515 68181\n3135 97159\n41113 55638\n29552 79216\n12425 16032\n1008 14018\n25381 46595\n68280 69652\n47593 60537\n94233 96964\n60457 73094\n2850 56214\n59732 88047\n21264 52414\n5678 97888\n7638 54243\n46779 50336\n27173 55052\n76353 90434\n3991 47738\n463 5968\n2111 39958\n77934 89519\n30119 50385\n45232 78214\n37443 76940\n9481 58571\n16431 28303\n18854 26104\n76427 78784\n27227 47764\n60994 65721\n2679 56800\n7620 24931\n3129 73214\n29006 63283\n52848 71265\n21019 59427\n19648 86168\n2965 41298\n9609 35257\n698 17613\n54557 83780\n64162 75296\n2282 22445\n42034 47326\n27850 74213\n4650 74744\n26242 80707\n106 35331\n51943 64407\n13483 78260\n15110 83934\n81733 90469\n45759 83657\n860 57919\n48037 76875\n78829 90925\n53807 63611\n24764 45872\n26424 50628\n17941 44259\n58285 72530\n53992 96545\n19651 82002\n32910 91449\n93328 93908\n68545 81842\n5610 72004\n12006 31022\n16306 88700\n4381 64898\n52519 82142\n35864 48020\n2220 74833\n22464 31769\n96923 98300\n16758 85780\n49038 73482\n4221 13632\n12774 37312\n22132 43578\n68179 88549\n19690 55542\n31373 33309\n5995 85972\n50102 70919\n57264 88154\n30528 72140\n8117 29330\n35816 79125\n31834 84178\n41710 82104\n45722 46597\n40290 78138\n38819 39363\n70864 77444\n7305 43223\n25900 98453\n28689 68501\n34053 46592\n3950 53669\n67230 98167\n1635 74668\n32049 74993\n72751 73882\n33566 90169\n61810 84588\n15270 88981\n21760 93610\n24904 34925\n25214 99066\n14814 63252\n5406 36858\n70473 87695\n28579 95698\n24839 93649\n27238 98412\n63716 64164\n40245 42773\n60670 63955\n11661 23102\n3382 77516\n27438 94502\n53799 77438\n63836 94147\n25695 48730\n32400 48746\n225 70576\n11910 86472\n5532 99168\n29908 94930\n28730 98717\n33681 67665\n50471 91734\n920 47884\n9721 29597\n10558 38706\n8751 66613\n12760 81972\n65042 85917\n53647 79391\n21295 59677\n15422 30713\n15480 47430\n61684 85639\n80708 92727\n5862 29806\n2873 51135\n47040 81548\n922 75300\n43714 49292\n7795 40354\n3965 69076\n7011 75403\n24180 94191\n42118 79505\n53089 69144\n55584 64209\n27134 32650\n54839 60008\n33722 39353\n4199 14132\n591 44785\n43383 59480\n9849 48219\n52151 62310\n25375 32992\n51297 54684\n11616 73736\n53320 74024\n37956 64911\n43004 68250\n76177 88869\n22751 65234\n45675 76694\n43038 78192\n31598 50463\n33967 73933\n20068 56632\n70152 83201\n17744 64251\n23066 49127\n33651 44653\n40471 53299\n39757 50584\n65232 77307\n80687 86896\n11964 56510\n10172 58207\n50753 51344\n15997 94336\n21785 56275\n10182 98019\n18520 25276\n13247 85108\n40148 85787\n13260 41967\n24309 69072\n14603 72713\n8773 39995\n68933 69483\n10575 71234\n39231 73034\n44972 83013\n68634 69537\n28515 57490\n76362 97755\n62024 97064\n45701 55724\n87292 93955\n3704 44087\n254 35307\n28622 49087\n24302 84774\n73855 76956\n18789 66445\n52067 94319\n33801 68258\n9849 50018\n29091 98171\n36171 70735\n3111 4603\n24673 35159\n37700 37855\n44030 90672\n8423 86968\n34860 69816\n3601 66933\n26262 89188\n27323 43014\n17954 23623\n61640 73164\n27571 75647\n6218 89628\n64034 99267\n42189 46304\n15694 50507\n20846 89690\n40392 57540\n20102 76788\n41738 79251\n30822 92246\n56624 82447\n2764 81477\n743 71282\n13356 32697\n7665 84985\n7046 9522\n8896 98299\n16095 41694\n25214 52457\n30082 37818\n2108 24277\n9696 85853\n43185 45572\n28547 63409\n8449 94047\n11254 46649\n54985 60702\n13223 17076\n624 43006\n47966 99518\n1982 15238\n30193 73432\n14196 18749\n17638 97896\n75777 82941\n4798 32515\n9573 63321\n6477 40276\n52568 81537\n3644 65475\n17512 87051\n63784 78566\n40816 60772\n14385 59100\n5087 31568\n67400 89856\n19143 29391\n33766 73423\n19068 76968\n4302 51347\n28317 65367\n32360 83584\n51522 98490\n43272 46628\n60964 86815\n26529 29904\n5063 50686\n82432 85592\n54943 75940\n45570 77057\n71429 93796\n46289 57513\n31392 83571\n12024 23197\n95191 95448\n9302 48855\n46830 98295\n1943 95327\n1228 21555\n16891 45626\n76832 98608\n13699 47986\n34622 65585\n4720 65525\n44917 57711\n16682 59664\n37558 79052\n42470 67631\n43840 73693\n21909 82819\n31852 54534\n49205 65444\n6623 43025\n25444 64398\n52908 61281\n82967 83492\n75629 88332\n18558 32054\n26469 69153\n43012 46635\n58453 63193\n8876 35681\n3783 15600\n23286 91965\n80683 95714\n44075 44220\n3258 80670\n18324 89890\n9581 35738\n37486 68406\n49475 71172\n16461 70129\n58067 62862\n13256 19021\n14345 84367\n30074 42487\n45421 71420\n19350 59638\n12771 24872\n47834 48099\n32630 58012\n3315 69739\n25678 53996\n65091 99781\n9584 61858\n51280 63817\n4145 67935\n21293 53254\n20730 56859\n22189 28667\n54747 89842\n40454 54427\n76719 79403\n28005 39703\n32712 34394\n25400 87709\n4685 39701\n15161 57312\n72781 84914\n64012 64042\n17875 38319\n53360 61510\n16281 16332\n11114 17038\n42988 54080\n4781 24949\n1545 50404\n89615 96264\n8772 99254\n71362 92648\n900 23269\n23700 79953\n8589 26203\n27413 93008\n30620 35956\n59338 88971\n43415 93215\n6238 76739\n403 9424\n42296 55319\n5948 79796\n13058 43419\n9841 46851\n15887 85643\n18506 93996\n73777 74774\n20343 36213\n53955 58966\n3384 46853\n45123 83054\n56199 72232\n5848 87794\n65742 69585\n70916 98334\n40415 87133\n89798 94698\n19623 55704\n53704 80019\n32613 40397\n24649 99607\n40729 85504\n8901 56585\n12786 54303\n13500 17272\n13103 30097\n28300 79630\n92807 98265\n56099 61235\n28201 57172\n56228 63710\n62828 93979\n15660 36488\n41440 91722\n32070 66032\n43411 77862\n3909 41621\n2827 7265\n16702 54265\n21259 50814\n46344 97215\n21650 24226\n13917 80510\n31580 95150\n64499 70759\n58048 88947\n48661 66946\n26054 55790\n63061 94675\n57472 94778\n68201 89027\n24571 97658\n37086 99454\n43395 97750\n40042 89886\n109 96440\n39422 67679\n40754 95712\n16588 64438\n56240 91376\n39057 85584\n21016 33343\n25390 87851\n10002 99953\n32824 39160\n3651 30137\n47585 50108\n14537 67517\n51074 52952\n802 62505\n3460 12457\n11137 36067\n19983 69448\n28885 91665\n57335 92519\n29620 78625\n73270 94932\n56599 78685\n50261 89058\n33575 53188\n26711 71212\n12868 66782\n48553 78695\n24430 59838\n22446 84613\n77587 89708\n15727 25064\n5858 7256\n48984 66807\n41106 77633\n30352 86636\n45588 66089\n30963 36258\n68376 90611\n3931 72919\n33177 53841\n18984 64248\n43416 56308\n41889 93877\n9780 33718\n26511 87364\n28045 92195\n13887 73710\n78876 99258\n70606 82633\n17889 51681\n80803 91778\n1902 73816\n46245 60660\n20985 23726\n56226 64070\n60607 97303\n20644 35249\n8325 52566\n15866 81478\n22633 55639\n28889 48100\n44552 66943\n10242 63739\n23700 77334\n59207 96770\n6375 57147\n30691 79356\n13293 74052\n47586 53508\n27198 88114\n14386 88495\n82025 93930\n7445 21376\n2283 82752\n3874 63803\n71326 96786\n43697 93922\n6593 31087\n91955 94261\n29005 58065\n42284 61033\n13318 37236\n14144 49012\n19321 67089\n34120 85785\n72605 78315\n26210 77846\n34642 86031\n57112 58517\n6029 16732\n27045 63955\n72186 94330\n24074 60447\n65177 65820\n2038 7191\n85162 85374\n31651 41344\n5635 78695\n44729 70683\n32894 88029\n90075 96301\n1920 73925\n17380 97414\n53021 74331\n1724 40740\n21642 95079\n40717 81868\n18861 96303\n1080 85348\n82700 91252\n47056 94985\n29309 59785\n18754 64339\n19618 30539\n46800 93390\n53222 83005\n25850 76813\n13310 49124\n8924 48279\n43767 94771\n24941 66854\n50136 75789\n75487 85479\n10275 42986\n1794 53540\n41007 76495\n59884 92901\n14598 97088\n21275 82533\n47880 80903\n34216 63093\n20929 87275\n69445 87152\n566 76117\n32844 58348\n51184 55673\n465 63010\n73927 99812\n45296 79247\n34422 74607\n16229 71286\n7868 31308\n5649 8178\n78994 98725\n4502 66446\n41076 47952\n64915 66868\n11316 34674\n74293 86586\n21821 89765\n65412 78914\n1948 71154\n29529 47718\n43612 97103\n67858 78087\n53762 96152\n1916 71895\n355 52039\n22039 79075\n86047 96264\n61102 79295\n33685 71400\n1504 71357\n3998 31042\n16742 38773\n18856 69855\n52157 93925\n1272 98064\n57724 66757\n10895 83241\n17444 36910\n53054 95407\n65999 83428\n2528 99132\n1326 34014\n39232 49237\n29535 35855\n24609 92138\n27616 67993\n10530 32970\n50519 55623\n5709 70961\n32398 45564\n29649 43288\n47084 52933\n40526 60493\n18785 40014\n3574 65100\n3846 34255\n45838 60403\n23697 96999\n11929 97257\n63797 94569\n41356 49226\n43034 54289\n20378 58998\n51390 72368\n72928 73725\n28637 91201\n53951 62842\n81393 94025\n8221 35692\n48655 79530\n75390 99692\n2041 45027\n23455 33885\n4333 12099\n31159 65871\n2140 79979\n20585 89645\n22838 85125\n30567 44861\n21502 59567\n30297 41736\n62686 79731\n2915 49016\n31837 47342\n28935 52310\n14880 48604\n58062 89146\n54500 88566\n25742 59517\n5385 91130\n41313 78304\n62795 93017\n72683 73995\n31291 69623\n7821 66886\n40487 58785\n22273 67932\n69467 84450\n31746 94314\n18811 97383\n21615 56270\n34857 82342\n42339 98357\n24838 54101\n53934 99961\n93076 94284\n9015 13966\n122 62863\n9011 79166\n2516 82001\n11383 21279\n6017 67647\n17332 19063\n25172 95226\n25712 65782\n61756 96274\n5807 16269\n1972 5269\n27701 95896\n51174 89344\n38075 38633\n61683 93972\n4688 11893\n9253 32384\n12581 28640\n6893 85075\n51803 69176\n8331 68381\n19420 77962\n28135 95683\n54306 88650\n2455 16811\n31781 87168\n32426 94033\n54379 99589\n1382 98559\n37613 82253\n13743 78156\n38858 58483\n69842 72081\n22992 96435\n78042 88580\n7433 51894\n31807 86522\n54791 84309\n34114 60639\n31503 62327\n34517 35757\n26174 59120\n30269 31904\n2488 99914\n24650 87926\n12085 30126\n70173 76773\n53806 89620\n51844 74058\n59681 96812\n61975 97111\n11159 87741\n2657 52443\n36045 81797\n41783 47146\n47062 52932\n3571 58032\n4895 44440\n46208 51714\n13950 24568\n60908 62458\n49431 76697\n1665 21080\n56241 98106\n77719 80969\n3169 37716\n36136 82459\n31563 77722\n57700 68656\n66482 96833\n686 27394\n67579 68671\n36535 67838\n22988 56702\n22905 62209\n7328 62472\n56313 77657\n14166 74872\n12632 93515\n25339 57067\n47459 88712\n23182 76360\n91942 94000\n34574 58209\n41373 95723\n20714 95571\n22762 28871\n5701 66673\n20102 31719\n2110 41177\n6688 94611\n42219 61468\n11598 45242\n44129 59326\n27877 90395\n20276 95455\n16444 83855\n12247 42359\n7631 41455\n20725 54475\n56963 90771\n22620 35919\n42303 87359\n34325 90048\n3068 60963\n45959 96198\n65068 91977\n41603 66620\n49806 96385\n4051 25849\n29059 34295\n8832 96144\n29838 82735\n33617 85015\n62482 67766\n44670 96422\n27210 98013\n76536 91207\n66675 67194\n19564 37795\n28075 88520\n16621 74477\n55021 93137\n56657 92175\n66271 95344\n7520 92131\n3544 31532\n78919 82961\n54630 66915\n3275 12587\n2963 25759\n38177 82613\n74938 86698\n59976 73209\n11712 75579\n6467 43171\n72260 84118\n33201 63677\n32560 50246\n45638 64738\n70258 71312\n7704 57356\n15617 53754\n21170 83346\n42127 54851\n37382 52611\n50819 80851\n33347 70945\n73524 77420\n9567 42806\n9542 78966\n19365 82970\n46385 87348\n2787 63980\n2082 85041\n46064 80699\n29990 38706\n5372 61163\n55620 59917\n25025 41136\n18692 91346\n22549 68818\n22051 83762\n18047 27363\n27381 58866\n48917 60441\n28557 98470\n24964 88834\n57504 63788\n51920 85747\n10299 89301\n13690 34529\n21435 66319\n70078 76665\n2497 86750\n19575 92210\n34015 69892\n36253 45782\n4927 93541\n35568 49605\n11113 43223\n17344 31407\n22779 50607\n36790 45216\n30744 81239\n24626 82362\n30498 41238\n75476 94503\n34303 97687\n39846 75264\n10498 97478\n26646 34642\n40000 71622\n25686 39017\n7430 76944\n16451 80132\n73703 91029\n53037 79327\n75935 84916\n35688 48717\n1463 87700\n41346 82976\n43469 72214\n43810 93553\n12844 66486\n49465 82078\n34407 94681\n30507 50380\n16884 71795\n2626 19857\n8954 69052\n4976 12002\n61936 85304\n58539 88637\n93297 93329\n28709 76582\n1803 65147\n29699 94955\n269 21735\n59204 90433\n49422 73689\n16018 76633\n48154 97568\n18374 61195\n12373 99447\n9579 28482\n7651 66905\n39899 78179\n29571 36936\n32816 91915\n4639 85197\n25240 70824\n31935 62756\n25825 28487\n20232 80549\n63192 84596\n14507 23122\n39996 88882\n33079 83614\n2818 74494\n25643 76681\n52018 71282\n9346 79538\n50507 73355\n49626 89075\n4471 88722\n5247 16654\n46932 64606\n19440 92506\n32084 67562\n44600 71310\n18206 29419\n13286 88610\n6087 38870\n23719 98863\n61946 64568\n1266 30185\n17977 74512\n27423 29494\n7504 95210\n86370 89145\n8385 73316\n47261 59583\n24437 87896\n4147 91815\n14419 66791\n2235 3461\n12034 42001\n4134 6117\n21227 34817\n92119 95823\n54019 67437\n65349 96796\n3333 66687\n4771 58855\n66264 89833\n35565 57428\n49489 99031\n52991 85587\n19633 93869\n26276 37679\n54341 56732\n33456 76723\n8599 11869\n16699 48880\n82698 94569\n79126 94792\n19897 90011\n8950 51178\n4087 94835\n17792 99075\n56030 80897\n8892 33805\n3547 57532\n11425 20181\n21627 72875\n44947 56258\n59346 73958\n53528 91159\n43485 83721\n11570 19594\n63462 76238\n11063 14551\n52004 75315\n30488 85381\n21516 91805\n39595 81750\n35717 49866\n49959 53753\n66344 76878\n5566 88209\n92532 92698\n27248 40502\n60697 95265\n625 97324\n64139 67779\n8033 73767\n3922 28884\n12182 98603\n42747 70363\n11053 45488\n27725 87557\n48627 61434\n47950 71065\n17922 47985\n467 38872\n19470 31140\n56502 91519\n43812 83733\n41371 77730\n52679 80924\n38475 67258\n20398 94571\n28365 65070\n33222 98573\n49163 76928\n14728 45731\n37270 90281\n25099 51838\n89557 90808\n614 67139\n20362 72287\n16888 30306\n13335 50705\n37953 58899\n2246 42007\n80006 98988\n11299 64445\n28962 83113\n13473 31793\n8615 32962\n27257 75208\n50375 88109\n10109 23191\n46647 60778\n63567 80301\n29358 64514\n9382 23892\n61464 92009\n55136 82769\n25429 98684\n3983 34215\n6439 25092\n17192 18174\n14197 15018\n26620 84503\n13087 88961\n87436 89668\n14867 82309\n13459 58643\n20541 41142\n11198 99236\n41722 43130\n49711 84409\n27069 40122\n39409 44546\n32078 90957\n31104 53182\n19776 81847\n33365 70932\n89473 98697\n12833 35154\n30397 73519\n32092 86247\n1913 80574\n501 2252\n44099 96899\n12336 67415\n18872 99726\n16587 62601\n58426 86412\n60018 72691\n59004 91861\n14504 48493\n9620 87014\n14010 97521\n41153 54644\n68054 98904\n7611 59691\n47647 63393\n11538 52370\n15584 27130\n590 89549\n333 34476\n23236 28156\n51436 87907\n85929 88686\n671 6390\n23598 25895\n10754 20535\n5120 96475\n40911 96195\n4016 89894\n70214 73380\n15504 58372\n22541 29498\n15120 38885\n55791 66957\n40088 93959\n29262 50855\n32124 41787\n56054 63948\n10114 26176\n14928 88024\n36126 76080\n76758 82960\n26300 56968\n36865 88757\n54471 79232\n6336 52463\n63538 87789\n11475 26998\n43174 66765\n74589 84007\n22470 47591\n51726 82158\n19708 64265\n79124 80986\n51782 64234\n5669 10483\n30203 40052\n41693 77836\n41744 82679\n1034 90590\n44502 69147\n31450 31464\n81301 86798\n58263 70766\n4340 9006\n7598 56035\n44951 70515\n10748 32380\n32508 70647\n56985 95563\n1696 30866\n18642 47850\n53836 68920\n37145 67791\n65840 84585\n39048 47325\n4785 61206\n24622 52278\n19235 42961\n51496 55450\n51802 92341\n21484 63224\n31343 94246\n67498 97921\n88261 98047\n76946 91776\n56172 76149\n69562 99950\n33610 41154\n2208 20345\n25289 83036\n16716 38625\n44967 63950\n65911 68700\n10774 75543\n26307 64351\n13115 91088\n10727 57203\n10579 29008\n23358 71043\n60174 65461\n82537 88345\n8759 20701\n46640 89417\n38556 53466\n41557 99673\n47326 92761\n42495 97461\n62880 82428\n32380 91121\n79487 90727\n20595 45932\n26921 33922\n61181 85521\n50793 68932\n49701 77216\n2676 72798\n4889 53692\n16497 17813\n6404 36718\n18927 74286\n45012 68789\n64518 67758\n45157 94781\n49608 88188\n32312 85565\n13375 23834\n37398 79434\n21045 89219\n15064 90164\n8269 92778\n63626 98307\n62851 86523\n35990 39215\n18765 65930\n24347 98863\n18654 76631\n65424 81260\n58754 80125\n67739 73083\n29846 71785\n6262 76460\n30195 46829\n33505 91779\n66302 85055\n92866 99010\n54171 76905\n63033 78172\n54307 72101\n873 79789\n7482 35383\n1473 30416\n9824 68304\n21165 88377\n26442 62368\n32084 84172\n5466 68997\n35228 37586\n43001 47294\n54882 74170\n46781 91024\n4467 72103\n27357 53818\n27138 95222\n10550 39093\n36154 68315\n62924 67390\n66849 84974\n55928 70952\n14390 71509\n12258 70152\n58734 88055\n18702 38962\n67508 76244\n16154 37176\n22054 56515\n69338 75543\n12419 32538\n4372 65981\n38185 68543\n34158 69196\n29199 99731\n774 41707\n8428 8468\n6979 29547\n29443 64437\n4216 70381\n22415 70201\n15256 63477\n34182 87117\n33309 74985\n68342 90273\n4905 72863\n4674 98927\n38413 53367\n3438 46919\n7593 96176\n78620 79630\n41256 70331\n28392 59738\n33867 47206\n14480 35590\n9116 43117\n24283 44896\n13966 85918\n4786 13429\n35131 61935\n18321 63348\n77920 90905\n12447 91765\n30716 58459\n48439 63537\n52146 54311\n32444 72828\n25652 92068\n44158 44906\n3790 61115\n35026 53281\n21586 36065\n17930 23138\n21849 40525\n16399 26085\n26994 41392\n19623 44011\n27516 63221\n9094 66359\n28088 72133\n7715 29611\n23420 37995\n9086 54064\n36487 51366\n3485 11746\n28338 85346\n1210 28741\n76857 91506\n41720 99508\n52239 90147\n25499 88356\n9793 87215\n16108 91982\n1935 26257\n39445 52831\n2681 3982\n95905 96750\n37014 87176\n42857 46797\n23615 44426\n13418 85121\n56081 58662\n52334 92517\n46018 84346\n83194 94007\n34424 54917\n32738 43864\n1845 49675\n861 39291\n60390 60681\n28656 39157\n28464 75264\n62732 99048\n44805 93173\n5610 35078\n16659 75925\n54830 56958\n35111 47286\n22209 80145\n3067 27319\n83133 95428\n36225 37770\n51730 98590\n952 94167\n12396 44823\n5882 62308\n44580 44589\n20570 31236\n15761 53764\n42794 78108\n51814 82050\n22209 32516\n3383 19914\n10963 34914\n12501 94721\n27644 76657\n38840 40833\n55880 63150\n53953 77217\n54272 64525\n49553 62761\n12462 99096\n17419 20311\n4634 96469\n22780 27451\n13752 15763\n12544 21781\n30200 69383\n30085 34359\n85818 92450\n29580 50878\n66955 79631\n8352 35558\n18726 59598\n25120 44012\n18604 98957\n419 7055\n35613 54021\n8662 79546\n17737 23814\n580 46116\n25829 27863\n11468 30509\n2517 23575\n89364 94986\n12812 27117\n44750 50149\n61714 79375\n65725 95448\n62997 72684\n22250 37205\n75069 79403\n26271 55224\n44332 83866\n72362 89617\n3307 88770\n44889 98436\n69738 74229\n53897 57794\n77092 77980\n22601 30045\n2361 33708\n57953 71416\n4760 49515\n16597 26587\n39584 79074\n68912 99814\n85520 90981\n30540 57097\n44612 46658\n21034 77233\n10704 62783\n60768 70906\n18 23060\n19989 91593\n9566 85974\n7602 29626\n2191 17643\n10929 67582\n39409 78828\n31989 39664\n154 25345\n5008 85945\n77845 88401\n2305 4999\n69562 72380\n34901 74288\n363 40666\n9354 69530\n3082 29688\n21213 77670\n39620 55249\n47273 81413\n33142 38155\n6041 49623\n58765 78101\n4678 22468\n12025 20655\n33535 76500\n8988 97488\n58052 59307\n9038 35081\n23892 82374\n32903 98774\n20933 45231\n6497 46910\n20089 95399\n9097 27162\n4518 36223\n55585 58857\n73185 84773\n85812 98954\n4578 42015\n49491 83346\n58882 90204\n38368 59997\n33322 63175\n29079 54993\n26587 60849\n5107 79231\n36413 67687\n11305 51095\n48626 62233\n33911 63380\n5393 49048\n65368 97910\n24071 40178\n58489 65447\n72978 87032\n9997 10550\n69180 81222\n22211 24538\n27241 54650\n32436 76276\n14018 52086\n31297 82062\n67314 99114\n46608 63814\n7068 28723\n56263 93775\n48126 62510\n32390 93338\n6162 76880\n4029 96637\n85001 92365\n38847 96570\n31127 77448\n58262 98046\n38688 42056\n39387 51736\n18643 98201\n49608 81292\n48106 74884\n54206 57762\n25055 48899\n32293 67292\n11960 51311\n15854 79283\n1701 78754\n1635 6573\n54186 99568\n12362 47151\n24522 39157\n57800 98701\n66554 74135\n47560 97494\n44201 56799\n44164 57605\n12068 84303\n20307 68045\n38890 72547\n21623 97733\n41569 61935\n41617 74088\n22955 92377\n37212 56871\n5708 42054\n44621 72570\n1717 88560\n10307 73140\n46572 87597\n20165 72393\n61548 72723\n71411 79421\n37923 93349\n9232 23862\n18393 69920\n41742 60837\n38339 78260\n14461 24446\n90281 99241\n78961 98650\n55790 62229\n2636 46295\n2144 10027\n25154 79217\n69010 89890\n13918 69530\n13715 21361\n60089 71305\n12473 64782\n10470 83922\n40464 54019\n40200 79183\n152 24017\n25756 53028\n26714 67478\n33274 37032\n24443 38885\n64798 70174\n7119 39502\n89847 91255\n8840 18115\n88327 88902\n78355 99313\n2116 77999\n7143 88906\n5355 33323\n68951 69549\n8708 75834\n54773 98908\n69569 91630\n43591 87149\n16497 57518\n32755 85901\n26076 78657\n21653 55374\n44692 95134\n3935 74180\n47270 71043\n27604 31826\n52056 57089\n19940 55364\n2654 69310\n9938 20287\n51827 92143\n73411 89734\n10794 52178\n31938 42795\n8918 58944\n9920 59797\n27770 45270\n11111 66902\n38710 62137\n24369 53609\n66032 67242\n47829 61614\n39426 71211\n17909 44506\n31949 95162\n21376 40543\n15498 75971\n7457 37809\n29497 93038\n49487 58984\n64247 99882\n17471 60190\n51689 68780\n50975 86127\n7738 46285\n56488 99648\n2835 79548\n42851 83330\n9752 63451\n453 8865\n27778 72419\n47367 56363\n22496 92723\n34740 75458\n3518 32855\n35661 87933\n37351 81354\n3841 32536\n7022 74739\n20729 45218\n13829 18447\n37591 94560\n47528 90970\n57988 71291\n50899 98015\n67224 88586\n64585 99241\n44010 91600\n39594 82454\n3584 81396\n32896 71984\n22830 80387\n5432 16802\n63764 95559\n29945 39455\n40425 81337\n18637 33971\n47296 78881\n67122 68095\n7563 83949\n7369 42845\n22146 44495\n33638 36479\n12842 55925\n3053 72516\n8889 47704\n15485 26432\n64489 64969\n74931 91055\n9930 22311\n17541 31786\n53116 79030\n21798 77309\n38403 54677\n25714 94436\n32858 52269\n38164 50159\n59102 73049\n27369 71721\n51263 58472\n73778 82618\n12417 84733\n6868 23339\n21492 90487\n19901 59726\n21191 54622\n28103 70717\n48 36586\n34218 58717\n5221 91083\n54290 81228\n56725 86026\n87861 92742\n48755 96684\n34024 94313\n56087 77023\n73134 80590\n27499 43848\n8703 17502\n3683 76700\n28834 93198\n40771 64682\n45639 47692\n4840 73495\n86925 88128\n16264 66273\n5892 10463\n26773 83407\n3269 26838\n16367 65758\n9121 54301\n71586 95048\n11443 65612\n1000 47887\n8491 23447\n30815 80502\n66258 81336\n56686 74134\n30768 58486\n34151 96024\n28985 50726\n87938 93233\n13974 55215\n38143 98000\n10994 42213\n51080 55949\n48835 77811\n21019 86035\n78047 80366\n47274 64335\n16561 26007\n17205 66295\n14223 64638\n7254 34210\n33685 75155\n17651 67834\n75830 94759\n34338 84745\n47079 71503\n39475 49700\n13809 36063\n33047 39459\n24328 95730\n70563 93407\n32936 55666\n61192 82493\n73086 83162\n4791 49910\n6574 25066\n14263 55253\n14271 57733\n38291 72038\n1921 59545\n46545 85382\n36469 77101\n25914 69637\n13138 95938\n74872 78139\n47911 74220\n4576 36149\n6461 71074\n31056 99023\n13791 50522\n10918 63004\n33751 75333\n13173 66616\n8660 79741\n53842 78994\n25805 56864\n41827 81040\n43220 66970\n13920 92028\n2321 65321\n42877 90328\n32615 40389\n18978 91330\n52499 70786\n57126 64510\n62904 84578\n39210 79262\n61250 95403\n35175 44864\n25201 98518\n34491 97356\n56008 93956\n29576 99222\n11562 14486\n42230 67026\n80997 85064\n64382 82097\n26106 29102\n30137 51245\n3366 54378\n6009 86216\n26678 92241\n36771 41710\n63261 71850\n914 64532\n40215 78178\n10853 30734\n33997 40138\n48790 84922\n37296 91858\n22139 53467\n70614 84818\n10359 22113\n39522 96966\n32944 98269\n7589 79415\n18346 85505\n17423 42983\n19868 92003\n61993 66965\n93964 94662\n29329 94835\n8044 47500\n65023 89730\n9805 56899\n6359 94416\n27276 51904\n11671 65899\n926 33564\n50951 81199\n12466 17991\n64855 84268\n11664 52105\n9433 47570\n84906 96235\n9114 62550\n71210 97188\n2050 38397\n16291 77028\n21049 74980\n68333 95795\n33408 40152\n17775 23033\n60126 82813\n94869 94992\n13433 15658\n43588 58899\n79762 81298\n10563 78067\n31474 61186\n2117 95392\n70668 94127\n72835 86785\n18351 63967\n13721 29679\n8962 79200\n19527 34419\n21871 84558\n16549 53288\n29595 75189\n6103 13888\n43282 71137\n48238 87667\n46726 67449\n24609 40913\n27977 32490\n65757 91858\n27652 41308\n31556 92216\n61309 72941\n30150 34304\n39904 68610\n37839 54002\n47282 76296\n63829 86395\n38104 48252\n10523 28605\n34228 67146\n41794 48927\n58635 88554\n47785 92759\n1 50541\n55681 69917\n34048 79063\n51467 99981\n56963 69590\n75337 76393\n32420 94118\n13233 48700\n12665 30498\n33285 90623\n5108 17853\n53174 67755\n4117 52933\n39859 70892\n42976 82222\n79939 97248\n57963 86897\n53806 60469\n48674 70855\n21220 45036\n11517 14188\n12219 84650\n16186 77922\n56828 77991\n20646 72428\n86450 97396\n6447 84712\n7210 79451\n9894 25625\n35092 47251\n67257 83643\n65309 79414\n15137 47038\n62670 70085\n42119 45371\n16965 27079\n33227 75116\n23431 35013\n22364 70231\n70467 86892\n51171 80615\n86733 89576\n36710 53743\n19575 41310\n78965 89292\n19658 99178\n22876 27092\n6935 24851\n39011 99631\n35764 63010\n29265 67465\n33840 43648\n20950 33160\n5474 80212\n33471 91768\n50603 61544\n2727 9080\n46183 98667\n40562 52936\n4880 34742\n202 18867\n24451 72087\n71984 89717\n38349 47103\n19726 26809\n1301 5498\n52527 90192\n40275 62199\n72188 94559\n11442 28831\n8388 29384\n5546 50938\n13597 37175\n42250 92851\n2221 38491\n1925 19541\n24683 44344\n64002 67410\n42029 43282\n3312 42174\n93374 95430\n17218 18820\n25163 90449\n11879 98207\n33358 58518\n28566 92862\n2495 11756\n33497 43722\n29907 68372\n31127 52923\n44007 72219\n11100 49205\n10081 47015\n37022 92318\n42630 68560\n37899 42436\n15493 58308\n23385 24730\n25535 62464\n16593 86812\n8251 70956\n42859 45504\n62916 69926\n1839 84492\n43127 57089\n23884 66803\n29560 45801\n84748 92113\n47196 67732\n2395 70504\n62258 83675\n4647 26779\n40670 82695\n69729 74263\n23230 82643\n49732 66833\n54033 62104\n36183 73656\n57892 82151\n63296 88228\n42289 44011\n50712 89242\n60439 83108\n16444 87538\n7766 39072\n2673 83780\n40018 93448\n7770 33312\n23077 41852\n76495 99072\n32669 39076\n87 7583\n5376 54672\n22823 91550\n52266 81976\n70053 83631\n9856 60359\n56831 94692\n13354 95707\n6054 16204\n76475 93459\n22392 74029\n4300 33264\n49262 63241\n78301 87779\n52196 84759\n50442 92172\n22193 96893\n4204 65488\n16505 37408\n72385 86805\n260 67952\n35766 81126\n14765 38680\n16411 41169\n5957 67170\n74314 81588\n15906 21173\n45009 98253\n3537 37671\n35624 56784\n14902 56343\n38831 74390\n31333 86549\n32595 92389\n4146 92648\n21111 49879\n30536 40637\n24714 92444\n41013 89099\n747 18305\n14842 59376\n17490 25163\n63339 73738\n43607 50751\n65055 88327\n55260 68042\n60617 67167\n30137 78440\n25791 33319\n65757 83159\n73777 92497\n16785 70858\n52980 72392\n83657 94031\n20875 94990\n41001 95385\n52192 61501\n3709 44006\n29327 42551\n20967 66179\n5755 39179\n25817 60317\n40056 50066\n19766 89562\n55809 88201\n42902 88983\n15452 17721\n71032 96163\n14600 73014\n16164 41129\n29642 38746\n56459 65037\n55790 60524\n71788 95955\n9278 96047\n30666 99232\n90101 98055\n5762 89819\n35358 56169\n30651 65656\n15663 67747\n7922 39220\n56477 96739\n44423 65062\n34419 45815\n38710 55384\n33746 78719\n35125 97548\n43712 88449\n44221 45407\n67289 87775\n2279 37360\n50637 67724\n51920 78035\n16548 79922\n39499 88304\n32393 67893\n82138 94494\n8139 73143\n9411 58831\n4215 15589\n92767 96620\n44395 66551\n33887 37373\n53807 56843\n28944 38802\n52313 60498\n14668 79285\n63348 84862\n6040 30000\n64252 93948\n75904 90240\n48314 77470\n7875 83909\n44633 91081\n25818 66092\n57300 85705\n98027 99473\n9209 13628\n11119 14719\n36455 53188\n1786 89101\n42158 44764\n61787 82760\n25153 47079\n20173 56796\n18223 66723\n16976 78200\n66615 85223\n82845 84782\n8222 8854\n21741 71333\n68251 72088\n21124 35485\n19432 90770\n29281 66740\n8114 44540\n30472 91252\n28647 30083\n22558 33610\n22935 35473\n26957 90704\n10627 34707\n32440 93990\n45298 87995\n5273 61345\n9772 68031\n30206 92865\n24399 27048\n16562 27561\n4463 4880\n37995 81139\n56695 83483\n72207 73413\n65255 78183\n40382 59420\n11783 21678\n11640 16904\n17644 21069\n39987 73821\n1469 88168\n32004 98478\n50539 93361\n73921 87809\n91493 99850\n9873 33389\n37592 50531\n8724 13270\n61491 69437\n40842 45029\n8890 40149\n11347 45797\n177 27934\n15173 64917\n33206 45398\n56688 86985\n46791 94484\n17416 77972\n34346 72886\n13345 73495\n17794 54829\n9978 51984\n13537 38401\n54051 56421\n4009 39363\n15916 41099\n23023 53126\n31416 98067\n12343 93713\n7676 89380\n1122 40325\n18698 31206\n13871 26073\n49111 62147\n24811 30238\n75818 97767\n37306 79042\n9324 76120\n66356 78143\n27893 31728\n262 4238\n5966 80855\n74916 82248\n28616 55049\n23013 91285\n32465 67362\n12412 22030\n16101 20449\n60605 96442\n12847 70793\n54065 82528\n24489 92844\n27351 56651\n35745 35849\n7454 13610\n41450 57044\n11242 28726\n18255 51614\n42970 43257\n65951 79974\n35888 89501\n3077 12502\n26002 66651\n51006 89393\n82785 84978\n10947 88593\n29721 88200\n50624 94255\n42353 46268\n7296 18162\n5705 92810\n587 57451\n58293 65935\n4952 84346\n41601 48821\n14746 62483\n54657 91713\n9053 75474\n79230 82339\n45881 57373\n8037 55103\n7216 14105\n53311 94290\n33 18974\n83298 88331\n9572 79118\n2980 13932\n19082 49443\n27688 86922\n67878 97532\n87495 93286\n15715 80929\n94788 95485\n27058 89028\n30835 40014\n13486 78187\n67687 77083\n10610 62535\n2312 83781\n39007 51916\n31228 39988\n46323 78575\n54245 73119\n21817 57069\n70447 75837\n54007 92825\n33289 89919\n12324 98449\n37083 71901\n63752 74758\n25978 93245\n6850 62778\n26652 92166\n13366 41457\n81859 96005\n26614 48595\n19080 69656\n79264 94013\n45148 90651\n75066 97366\n6449 80963\n30828 79885\n16387 72109\n30630 49284\n12167 90360\n8682 95438\n1254 80800\n19359 45146\n16823 19829\n39922 72199\n12993 48776\n42980 62286\n35782 45345\n41225 98891\n3531 94106\n6242 88669\n31270 68910\n43557 84924\n41561 66041\n21917 84818\n13454 26647\n60203 82006\n30498 70135\n16489 29313\n25878 40624\n26416 74957\n8013 76263\n73207 76191\n48279 71786\n24078 44141\n20390 71074\n90353 94902\n19224 92161\n17405 95880\n39819 97437\n29780 96937\n1535 90040\n39578 92215\n24110 82476\n70586 82172\n2091 14669\n394 64267\n32184 98457\n55740 81964\n81022 96010\n30184 52415\n81146 98551\n27080 61335\n93061 94236\n66253 81107\n20421 67107\n24430 55053\n11896 40951\n24310 57412\n13439 63292\n76922 77644\n5591 71343\n26304 96065\n15205 36173\n73775 99075\n21181 22076\n13406 84151\n46057 94798\n18050 91499\n60246 63365\n24616 35532\n19468 94365\n95026 99211\n5925 77259\n1599 7854\n72871 83711\n87515 98139\n73917 86991\n75427 95886\n39840 41453\n55345 83988\n22094 29208\n3699 69035\n22501 30840\n29064 77766\n44908 86708\n50973 62999\n14720 79595\n15633 27780\n39318 60013\n67173 91166\n74983 79582\n43667 50416\n41323 85844\n64214 88240\n42169 77170\n48973 64624\n7056 16143\n30954 48185\n18832 53843\n50044 71354\n29665 97934\n8760 31980\n9281 47082\n34981 48127\n27708 37443\n48599 71141\n16836 84829\n10499 63950\n11634 23699\n38603 47480\n15472 61541\n65043 68664\n63365 72105\n27631 51289\n26554 26952\n25500 43757\n10495 35099\n21522 30855\n2231 84879\n35953 64475\n56763 81970\n3397 98785\n36306 96344\n45437 45690\n3436 77792\n28241 58798\n28568 63027\n2141 30360\n7721 14373\n9842 90854\n21648 96942\n94439 97895\n4389 52185\n38000 80300\n25545 44719\n17418 46915\n20734 78758\n45585 89543\n57734 98549\n16689 19212\n29497 77067\n45465 90343\n33364 98553\n22906 58364\n11765 63471\n17362 56213\n37992 44905\n27939 45878\n90868 96756\n3421 96368\n16812 20959\n1646 59789\n10875 98802\n34511 84406\n15200 28948\n4976 8651\n24147 32709\n2342 55680\n45041 87126\n13457 48751\n26635 91968\n24275 80828\n75459 87668\n18579 26782\n14319 62067\n41179 69712\n12585 51552\n42640 92956\n11680 98265\n10586 91139\n25680 85210\n30544 90874\n15726 26425\n15538 42469\n43405 60648\n945 77752\n56402 99937\n45739 90267\n13124 82302\n24268 38794\n25193 45972\n75385 89781\n68365 96264\n15030 15481\n5391 38440\n13851 51734\n50688 79835\n84977 91817\n24423 54715\n48942 62573\n52657 87824\n4495 82724\n40859 47213\n60645 95973\n49802 70432\n89883 90370\n22741 56061\n12193 68321\n45957 99060\n47674 65750\n65889 75116\n21861 84741\n24126 68914\n37372 95633\n73834 83351\n68892 92085\n5272 69034\n57959 68474\n72472 87919\n3136 42787\n26326 95856\n65732 69469\n28135 94088\n21822 51449\n22944 39545\n74496 98791\n63700 73211\n10175 50685\n16188 31435\n11940 48600\n45687 76383\n16725 58796\n17888 36664\n52111 86178\n45949 45965\n43844 89509\n94503 95710\n7764 54021\n3696 40955\n9943 64429\n60054 89039\n89322 90708\n24011 97301\n12364 52656\n11246 21247\n28156 52660\n20363 97753\n45936 51386\n1512 81033\n65914 93653\n29518 95224\n48343 66521\n26797 61109\n29561 97775\n33791 77088\n20594 90811\n35947 71708\n88666 89371\n85041 95783\n67988 98364\n114 57401\n11407 37532\n6166 65532\n34819 50584\n8775 77382\n52298 76545\n14882 87735\n31991 80578\n10923 14530\n13937 15935\n38777 53711\n3887 46091\n10012 54752\n23742 63449\n36095 40935\n35644 39849\n31466 48777\n31916 66445\n54168 62804\n15414 46768\n73505 74453\n35219 76931\n7803 95161\n5012 69978\n14824 93103\n65765 95333\n15789 72042\n20715 23434\n51821 99338\n10252 35762\n12398 81111\n46493 73610\n43117 91731\n39483 43385\n57816 97947\n24795 79202\n6058 18772\n27617 37912\n17513 97113\n10743 58347\n42735 50118\n9722 27402\n437 76562\n15079 85034\n59996 80373\n5203 59059\n13976 66141\n25033 78200\n4110 24617\n39104 67725\n30295 42874\n1493 23671\n40088 57695\n93193 96597\n48664 75144\n36782 68461\n2412 24100\n23987 83932\n27740 33843\n29480 51272\n8419 49849\n7738 99988\n33089 47585\n24031 94170\n76347 84254\n38246 44875\n47885 58226\n48264 78139\n51255 98086\n25258 97336\n14497 65188\n73640 84052\n23044 46420\n37582 90571\n3081 36376\n54457 89474\n25352 53409\n12649 82652\n13154 64417\n46673 68984\n78513 82678\n35141 46075\n17359 44570\n39482 68215\n45431 65746\n5599 54345\n28201 93994\n32436 52771\n38032 77350\n93270 96452\n32656 99131\n22276 99496\n13530 16321\n26926 65453\n21432 82777\n65120 70564\n2771 3916\n35631 87300\n50363 83926\n30449 57622\n1349 42324\n59370 97519\n16869 56717\n9928 36781\n20226 98424\n15984 78403\n32672 41464\n3806 64781\n57922 99371\n1572 44865\n10087 89893\n95336 99003\n15784 49144\n60717 98141\n52129 83434\n33735 95223\n29925 79863\n7558 10803\n69760 80956\n4449 48487\n5586 98085\n73136 91816\n84139 91609\n51617 88802\n8114 72528\n64336 99727\n8190 9032\n78676 85337\n50369 94464\n54451 85638\n39805 51467\n67140 72313\n45610 52080\n1253 3698\n23357 98376\n4151 58860\n13907 26833\n36515 48102\n38093 55036\n6764 43771\n26311 35294\n48357 67070\n94094 95382\n36246 94041\n20988 64120\n12372 92157\n57498 87237\n19005 61061\n7885 99611\n30304 94466\n30686 54444\n2600 66389\n50471 58093\n36606 78012\n13625 82528\n74239 92855\n41572 49974\n47235 47473\n69003 70769\n25484 90367\n7356 79881\n29821 48780\n36213 54133\n19843 72922\n38518 48362\n18024 32676\n71104 85631\n1777 26149\n18277 68747\n64927 78074\n1217 79313\n85604 89289\n23723 53481\n47021 57092\n3240 31313\n5058 38177\n75738 90900\n25444 25846\n35468 52968\n382 57421\n69139 92978\n21481 39778\n48334 65851\n8456 64340\n71953 84566\n3873 70767\n40669 65124\n72905 95024\n10244 79678\n44810 63297\n65847 97702\n9570 29440\n1818 56712\n32343 60872\n55874 90398\n33888 34433\n69387 93835\n68880 73318\n8557 18445\n7272 14386\n45807 96809\n25466 78317\n27248 33503\n32636 76868\n15554 31841\n15005 29676\n38712 75766\n7731 73485\n31790 62617\n55382 56472\n43244 70558\n37318 74161\n33430 99181\n14914 48214\n35559 50529\n23144 62395\n8156 32570\n10779 78159\n5268 89844\n3765 72131\n60698 77063\n34643 99955\n12622 52710\n34817 46430\n44819 79200\n3293 15328\n25165 57055\n7376 10276\n23628 46728\n60492 76623\n43398 51029\n30619 41093\n35844 63115\n56003 65289\n46132 81219\n2705 31623\n28982 52208\n26909 79017\n3463 44757\n38303 58722\n52934 92702\n22540 70837\n47156 84892\n27844 48216\n6803 79980\n9050 79337\n52182 55616\n34816 65426\n62482 73030\n12119 63415\n66147 70178\n30993 99854\n320 26006\n26407 89085\n46244 97166\n70275 90019\n6296 93165\n5513 57214\n4011 93264\n1147 21680\n34709 69078\n4028 68414\n2833 51625\n25758 94893\n23753 72261\n17870 39574\n64924 76639\n74411 88503\n55458 81841\n51853 67596\n5043 64518\n6834 44272\n35058 62412\n8044 36705\n36595 72785\n64976 97821\n36920 86937\n81772 87015\n29996 47463\n44471 80914\n64104 66457\n11735 85610\n40108 80908\n18009 26580\n69680 90562\n10754 86402\n12844 52308\n7673 70740\n27686 31483\n4399 88165\n7648 17101\n27779 76558\n2329 47912\n32186 72536\n16415 48789\n22755 92666\n26627 80212\n14184 84886\n48397 51160\n14025 69981\n67446 68104\n56112 94031\n173 69331\n21238 26139\n38420 45077\n31851 49914\n35652 39057\n14147 89444\n48401 80412\n94897 97208\n73682 78655\n50164 62633\n37865 41614\n33064 83127\n6735 86527\n48549 63081\n27371 80921\n62259 64912\n88686 97582\n43866 60734\n9521 77464\n79152 86487\n75365 86679\n60702 78998\n112 77340\n26815 82643\n79409 96085\n40537 67408\n60930 91530\n44039 86574\n2279 55749\n34560 86897\n7468 29871\n26613 80272\n63218 84333\n63051 67045\n12102 49967\n77076 87682\n79602 88429\n75436 89492\n31417 80463\n87472 97634\n47971 97725\n63801 98049\n79227 80091\n6303 42062\n51145 53692\n52279 84968\n73708 98798\n6487 10937\n61447 63704\n1787 81011\n62039 64428\n14408 60528\n16434 50204\n34430 67540\n6898 48203\n40221 89438\n38011 92846\n49597 62067\n44462 69041\n56016 94426\n20729 66292\n98041 99043\n44372 75060\n61117 68758\n54487 91953\n30938 72281\n63147 80104\n14915 15633\n28270 66968\n76819 79612\n31643 95196\n43884 52818\n45119 92987\n53106 62484\n62906 96811\n21788 51660\n12566 30186\n48433 60913\n40190 71470\n9042 13846\n42501 78142\n21383 90183\n73951 79844\n13676 44345\n17142 80297\n62386 92242\n66762 70905\n33516 98554\n28377 43144\n16451 59000\n2386 11888\n25224 81719\n49254 73998\n4640 13495\n69434 73542\n11237 42672\n79038 95228\n24698 68556\n33987 69870\n14357 69414\n27678 76411\n37267 65740\n27469 52520\n33 58358\n41992 65573\n7216 44558\n16249 74321\n15253 59485\n53889 61473\n7810 68409\n58896 87980\n3041 37009\n2548 53234\n20379 97190\n71933 75519\n55781 99264\n39693 86875\n16708 18864\n35944 81779\n79618 80237\n57628 78156\n56291 71636\n48541 68965\n90307 93025\n33210 93963\n10573 69059\n6495 54997\n43136 96938\n2937 74686\n24099 28224\n32446 45241\n42523 88237\n1039 18973\n18170 97274\n22250 70836\n15331 29414\n51002 95198\n19203 36812\n53828 62821\n34737 54654\n42156 94237\n66162 86337\n40158 63975\n31355 98870\n21624 41056\n40440 45472\n75223 88804\n31591 77665\n89428 98779\n15025 93813\n9386 10107\n19521 45308\n37623 38986\n2200 93672\n58186 73009\n51028 76286\n38523 77284\n22164 99048\n17409 86795\n17656 75145\n91452 95546\n80151 82810\n24899 89903\n26648 83944\n8955 23518\n10642 23012\n74524 86602\n9461 18442\n39079 76334\n53091 81439\n40385 46307\n53200 59057\n28170 93365\n32630 41863\n42720 99327\n61754 76859\n10168 51326\n22293 82589\n810 53390\n5642 66348\n36192 48668\n8334 45091\n28986 61011\n3567 97547\n3378 56771\n28385 30625\n65484 89864\n24057 54032\n22209 56787\n47205 88972\n33151 97016\n78899 84059\n4897 66342\n9766 46322\n16572 37087\n70697 95579\n21430 31683\n55179 67980\n58527 90610\n53543 89310\n41494 94409\n27710 48832\n17623 92468\n25708 53594\n5088 66851\n14320 50865\n1569 7174\n86467 87620\n82839 96712\n18781 63669\n23890 58112\n55143 66897\n15753 46372\n70660 85629\n35017 79587\n66931 68708\n36723 51948\n16699 50140\n11531 19924\n25714 83558\n9685 48378\n53861 81697\n58805 88005\n93568 99431\n41323 83594\n83247 91280\n8189 78918\n34436 34786\n59039 97954\n54500 73937\n57069 89392\n66342 68672\n16070 71793\n38585 79390\n9744 72203\n86489 95241\n53363 91383\n26689 60837\n58405 85109\n57049 66860\n14492 92994\n25064 94360\n38725 77592\n52275 80341\n86022 98910\n1212 41119\n2318 2460\n11583 16957\n22602 91381\n33327 84899\n14277 88899\n13782 52885\n80534 86125\n49893 90551\n83690 87427\n38951 78655\n25900 94291\n6735 26398\n35370 98794\n53705 56994\n22589 57777\n74103 98447\n4468 78695\n21700 74468\n37088 50155\n26643 53816\n13311 16882\n21370 58260\n65696 87048\n4016 37681\n68 75084\n35742 77755\n33888 51858\n84975 96333\n4379 15972\n56828 64381\n75978 86990\n27028 79238\n10827 41271\n26019 76693\n22205 55189\n54716 65204\n20471 87502\n347 17187\n63295 73364\n19961 25646\n30132 97952\n2390 38498\n24523 26793\n23720 43956\n29669 35669\n52793 93472\n57783 99493\n74331 80868\n36662 81214\n18021 77835\n3461 57256\n22489 78662\n24644 34659\n20644 74562\n70360 89555\n1858 27342\n15935 34868\n17018 37186\n66562 73379\n12954 18511\n24705 32587\n15325 68706\n8370 73493\n5372 9489\n15263 72495\n49799 66534\n28966 67130\n23488 41769\n75961 91461\n53791 77502\n54007 69355\n2578 53185\n89317 89468\n77750 86630\n15011 24691\n30701 93411\n26240 47481\n16387 79626\n73467 82979\n12270 62763\n73389 93845\n2714 88724\n23185 61973\n4725 40062\n7968 39721\n20783 51018\n43964 84828\n26224 63560\n47851 99725\n47170 79415\n1498 94680\n64351 98499\n3577 67652\n36446 94852\n33845 50447\n55322 81072\n21504 97088\n62163 64811\n21407 37948\n29476 62075\n10298 85454\n39790 64189\n10049 38471\n29072 91618\n34584 45844\n49870 64922\n41313 77785\n37602 92479\n34525 63061\n55555 56278\n89742 95454\n13081 71282\n12684 81103\n7188 94434\n26016 95367\n7187 46244\n59039 83488\n72072 78399\n48953 96521\n20563 57359\n33421 93706\n8746 77587\n6853 31016\n8478 13499\n2448 56871\n44516 67041\n32687 50794\n69704 89230\n57906 96429\n8888 45001\n37204 60359\n23576 90325\n58453 72257\n64113 79476\n33805 94832\n21081 94532\n35034 57587\n19924 74520\n51291 93869\n23699 72162\n14772 97555\n7967 75410\n33110 74069\n50696 71683\n25322 81252\n51483 60192\n33268 49130\n39354 67801\n28532 45764\n74951 79210\n25726 47879\n48311 84878\n551 83831\n4492 27319\n42092 46979\n54089 79776\n50329 95311\n84359 87044\n43783 84536\n3563 61511\n22675 87744\n42705 97901\n75523 79563\n16309 32183\n45711 77704\n1206 13813\n44794 74839\n55286 90214\n2834 19659\n43935 46777\n30980 59248\n58271 80193\n27277 85125\n50173 50947\n84726 96636\n35364 48963\n31045 82570\n9243 29581\n81419 84454\n61727 83030\n26004 47442\n22074 62058\n16268 84148\n9377 43495\n74024 95718\n85032 98005\n79086 98120\n77681 84378\n12946 38220\n9225 77993\n12995 35582\n32034 90790\n91289 94758\n14332 39549\n16823 61276\n46445 68071\n84900 89569\n65339 74925\n52455 54841\n43005 67459\n21683 75521\n12009 82746\n74698 94590\n50787 67695\n54242 62536\n53165 71429\n57053 89172\n57693 96651\n4381 6971\n74969 81912\n53988 66271\n35825 37081\n69292 88443\n2793 36200\n37855 42055\n28149 83731\n17489 36563\n35031 47656\n32433 76096\n15924 73205\n20097 72865\n81186 93387\n35854 80057\n36840 96286\n94592 96996\n11563 71319\n47479 88470\n92038 96871\n84425 97763\n36057 43293\n21792 63355\n41722 43003\n46421 99620\n45825 54051\n83230 95372\n64432 87694\n38079 69327\n3261 69808\n75676 90508\n36066 60522\n17592 49380\n36231 95084\n96132 97884\n33751 50987\n4317 82003\n55978 71851\n74254 77191\n86752 97491\n5574 78441\n467 12988\n89011 89161\n36261 74323\n12143 58211\n31599 56054\n60160 72734\n25874 59176\n12333 65851\n15975 95390\n20728 93850\n76634 87761\n30325 93387\n29108 88342\n15239 36106\n21267 24964\n76369 93694\n42275 76366\n39860 47040\n89616 90717\n41478 55169\n44307 74329\n69765 74923\n643 71708\n42255 94820\n24333 39360\n14669 84852\n13803 95879\n30174 81121\n38173 77195\n51997 95698\n3849 13273\n19780 78834\n19826 50798\n20077 34593\n24251 79320\n28300 82210\n26932 61809\n24234 94792\n3880 14479\n21987 71863\n11271 69386\n48432 58460\n70578 98113\n26876 32765\n5759 73291\n74320 77658\n22453 25121\n73389 90282\n14519 43510\n31022 98985\n41675 55899\n15121 17201\n23895 27899\n57184 81244\n66646 68390\n3962 33091\n8033 96857\n71879 94268\n3838 11735\n13176 55873\n3373 56937\n37842 84227\n75148 98966\n61653 63138\n14137 52095\n10535 34016\n40341 77032\n50129 51148\n25860 50559\n7780 48208\n27955 91050\n15484 17028\n16651 45532\n34881 62068\n11021 57195\n78938 89676\n50913 84646\n6516 81966\n22946 36501\n17839 72613\n72082 99534\n48922 72203\n8966 57366\n58747 92932\n11725 62948\n46035 67880\n29422 88143\n20579 21298\n28759 51227\n10706 52802\n38385 42027\n55107 84958\n41300 75003\n18596 38651\n4826 46847\n40736 64108\n10931 31655\n6549 69466\n42678 56853\n34607 49984\n42644 50903\n26169 66157\n13530 58158\n39099 76045\n94035 95825\n34660 51361\n21177 57399\n80894 81526\n17074 98841\n43130 88153\n75354 97126\n48440 75911\n43751 68204\n13972 15037\n3443 79648\n18309 56498\n44539 79615\n28613 50846\n15081 24322\n12506 93578\n43506 67982\n3692 88044\n2786 37749\n20302 88169\n44598 76627\n10881 79999\n2547 89921\n7142 83655\n71120 96477\n7013 61398\n11492 27246\n19291 67946\n82380 90636\n17328 92464\n19261 26361\n18450 29588\n4760 49716\n17267 37368\n64095 67133\n64030 88547\n17167 57743\n16368 60842\n355 8738\n5893 8453\n3207 14708\n53057 99532\n15961 97976\n43546 76938\n81244 96179\n23774 65699\n31001 79063\n23014 27898\n12749 56942\n9392 89111\n1666 99909\n33419 67908\n75590 82744\n15907 32717\n880 21961\n29279 85233\n50474 89737\n64357 75957\n12855 48654\n26216 43148\n30074 99275\n91888 92917\n17042 91806\n50451 67284\n18572 83445\n64987 77741\n7656 28967\n38211 85710\n39783 61161\n74909 88523\n74803 78353\n8816 98744\n31195 87448\n61584 70510\n49442 78070\n66022 69196\n19987 58554\n75532 91657\n62597 70324\n50846 61822\n58738 62636\n60519 87347\n38474 78882\n24433 26566\n46474 61279\n60435 62262\n25327 80468\n7465 82319\n2914 73270\n22034 99892\n22988 92969\n78810 87852\n40825 98500\n78078 80044\n36416 66875\n40991 88189\n22803 91293\n53833 85393\n76049 78349\n4812 18868\n32600 89883\n72124 94046\n14790 38122\n4882 78365\n55619 61336\n11764 72616\n1032 97313\n17024 92277\n76614 83167\n21353 62952\n34765 45991\n9296 14685\n56647 97638\n47544 48688\n58083 58533\n23458 78825\n4910 48598\n44014 83414\n52277 55352\n26716 96057\n42146 50849\n60396 89984\n44919 77915\n197 23696\n88688 89318\n66777 84234\n11235 35714\n14594 61766\n3218 24927\n38948 86233\n49561 68033\n33312 38908\n33757 69465\n8111 9485\n31588 63368\n3201 7863\n50348 94120\n18143 41818\n67077 72994\n94445 95533\n19706 98402\n51425 90078\n74362 90598\n64861 75426\n37677 86734\n12352 90414\n29049 67914\n11797 57428\n15176 25945\n46997 76714\n20252 56879\n17342 49173\n6437 58402\n20512 43394\n11964 85328\n26514 41951\n82529 98102\n39833 45376\n60643 98637\n42522 79522\n19102 61284\n72072 89971\n13557 56634\n35239 89956\n43209 68363\n45098 74027\n7267 42866\n11377 71774\n21926 84549\n18752 60754\n55184 71573\n58584 64269\n40961 94002\n37775 40435\n34461 85748\n33783 61368\n3722 27044\n16491 77439\n63968 69219\n57926 75435\n2537 76374\n54858 90616\n30381 37344\n32313 45953\n55144 56759\n46336 96649\n32077 36700\n3597 9342\n7407 57941\n48005 63281\n36025 88544\n37983 67220\n16171 81360\n35713 40910\n105 69763\n15081 15685\n50085 84097\n5527 84641\n61072 66101\n18015 82097\n27994 91702\n37469 42921\n5526 36367\n16444 30540\n25494 63706\n7652 21748\n4813 89858\n24658 65153\n22579 23244\n8349 18392\n9832 64935\n72653 85232\n11502 34164\n19642 62836\n71187 74087\n1895 45399\n15694 28677\n47374 90101\n29487 39170\n11825 49855\n15279 58254\n5672 89772\n26863 99436\n71651 73659\n33375 70063\n16733 73785\n7366 88930\n91650 94617\n24561 78978\n6606 98212\n66021 93819\n8689 89458\n71000 74371\n20379 97635\n5583 80457\n51599 71936\n27385 95975\n3833 65563\n10890 24686\n42547 88420\n37924 44901\n39164 84297\n45055 63046\n34678 65468\n1457 3178\n61195 96214\n14986 59667\n35506 82098\n48475 72469\n34716 96007\n19800 55307\n77045 88543\n74318 81369\n37476 68311\n2791 36341\n70273 88375\n25266 39970\n50238 86442\n12711 23740\n58474 73537\n94332 99163\n39748 46588\n50217 51077\n24609 71799\n49002 72109\n38305 56241\n53341 68534\n32015 57236\n26735 69372\n5705 48783\n43116 80740\n59625 68024\n3004 79316\n67498 83526\n32785 97407\n2360 75716\n26287 86224\n4177 37516\n3315 96711\n64457 92722\n36465 41302\n19591 98908\n10745 30985\n34585 56601\n44304 97832\n50489 51225\n11873 22699\n19395 42177\n45588 79644\n80601 89377\n9832 37747\n23327 97448\n28751 97308\n52690 78770\n9423 40096\n9361 23998\n39699 94696\n32755 45069\n39152 62116\n11018 86771\n12074 21898\n7976 15804\n53459 62435\n45875 79326\n34692 82461\n16395 71001\n4348 9643\n17091 47603\n71833 93506\n2344 99629\n56546 72432\n16172 61691\n36001 46051\n52145 81147\n68509 78836\n27727 66295\n74462 97044\n8057 40351\n61404 94292\n8213 20786\n2862 32205\n1227 52184\n5971 30067\n42552 67235\n4810 11916\n36448 84233\n97162 97750\n48620 85233\n2684 92881\n44224 91119\n30852 57380\n48026 80241\n72067 75351\n33846 51317\n53635 94675\n13929 52114\n4662 13651\n44262 70953\n36519 40541\n20501 52870\n38372 48259\n10689 58759\n21825 27809\n17943 64107\n29131 87239\n36445 82995\n44692 95798\n2181 69576\n42300 46197\n72807 83438\n11556 78662\n58065 92202\n70145 83476\n42597 97912\n7342 93315\n43963 83144\n4357 71936\n4565 23165\n2047 72095\n26052 49750\n28431 53873\n21704 90297\n53513 79518\n25106 41484\n32302 53824\n14887 47663\n42442 99080\n54141 71865\n10919 33443\n10208 53978\n43045 99926\n41063 50043\n3977 66399\n23354 55141\n9475 83416\n47603 49466\n5011 47433\n53180 89124\n3404 32425\n54937 70699\n80208 96148\n43111 52012\n6570 94517\n45160 90714\n24458 95969\n12899 89645\n37133 46997\n92701 96075\n56129 67613\n29134 38043\n39165 70489\n8529 29549\n16097 33286\n17708 31510\n17122 78348\n33552 58966\n6032 78111\n53228 59780\n46002 73866\n7253 20113\n40133 41152\n39253 44124\n75101 79791\n38888 45692\n29143 97405\n24271 78762\n48785 89716\n23708 68912\n30872 76090\n38678 44151\n65198 96273\n75779 86922\n49451 90712\n24046 52731\n10713 98654\n43835 53893\n15813 48544\n76981 86600\n14184 39198\n61452 79052\n40903 72823\n21499 86580\n32938 82158\n58034 66207\n83884 92530\n6189 14434\n29117 30107\n77486 83833\n41719 52057\n63406 70356\n25851 94371\n5580 79371\n36320 41499\n41473 76592\n35602 83785\n19818 31147\n77472 86729\n37879 97471\n4450 16492\n70541 71712\n9040 30541\n48814 90978\n29887 76708\n55510 63361\n33286 90926\n15648 34762\n24008 94860\n70188 94958\n5332 13072\n34427 76410\n326 22435\n72011 78629\n27605 32375\n17555 94323\n34910 52635\n37137 79245\n27208 38436\n86955 98059\n8645 35143\n18327 89180\n55837 96702\n6967 67343\n22787 70789\n44647 59377\n29981 47962\n7384 57512\n59688 78687\n13249 66994\n42827 58476\n18281 55177\n49635 55491\n23266 64000\n42977 45884\n11729 52319\n1432 12471\n7318 98096\n7934 36035\n6595 69674\n27061 93644\n5588 25914\n47631 62789\n26579 65257\n28434 93837\n13731 89121\n25514 53493\n65484 78931\n46871 90174\n77278 89450\n29898 30892\n23673 99032\n76271 85857\n79719 86840\n35836 69401\n54925 73864\n29885 96806\n59120 65284\n61103 92108\n58572 68628\n74761 82856\n83521 86080\n21801 84995\n21028 41871\n23264 36900\n68806 74577\n61719 81457\n64390 89905\n6285 99879\n68896 99461\n39491 96207\n11544 80418\n2170 78607\n82374 88227\n14440 15328\n69921 98558\n36010 49107\n4705 15183\n33941 58676\n17274 17938\n66206 75791\n16585 56614\n5420 95327\n32376 60149\n16510 66183\n18140 35306\n12474 46338\n51785 54826\n3538 51552\n43523 92657\n40176 89532\n5615 78019\n76049 94371\n76334 82083\n5170 42530\n56544 76162\n20229 93042\n6668 66195\n20055 99673\n16737 69741\n28030 58897\n20955 24910\n15563 98535\n70584 97336\n15585 46440\n48600 70985\n43123 57398\n2138 36901\n9946 58492\n22190 25220\n43952 53037\n2977 47556\n63348 94780\n36328 71854\n3819 10200\n48577 92398\n63030 69561\n38890 93342\n15900 82773\n18033 54841\n42468 86552\n30230 99074\n18803 28571\n36515 50723\n43362 78239\n19372 28481\n53491 90271\n32417 48335\n75559 93378\n10083 67423\n18701 86803\n17160 49987\n25663 26770\n22983 35140\n7865 81374\n32132 45121\n7722 52017\n61150 81633\n4459 6893\n17745 50313\n36688 83505\n22545 32506\n90320 96802\n69226 69730\n9480 13202\n21220 97425\n26012 63674\n17067 66137\n5588 89899\n30204 85562\n37697 38822\n84181 93981\n10703 24810\n41738 86495\n1871 14580\n55872 68988\n11038 27780\n15528 56870\n34738 80187\n5284 6872\n80123 88292\n50059 65638\n30054 66018\n3139 90877\n15627 82133\n39479 72646\n87353 97843\n10717 38286\n81683 97433\n16581 20199\n43971 76557\n13756 29006\n6272 75585\n69166 81219\n9542 32184\n66399 98271\n43675 82333\n57032 72856\n67339 83083\n80450 98086\n39997 40010\n92827 96117\n34416 96633\n38975 89602\n36490 92843\n23509 24446\n11822 49571\n74501 89858\n49232 97304\n44139 63901\n1243 1317\n36743 39786\n47368 55522\n62603 96617\n859 25875\n621 26383\n8740 47204\n21214 32172\n44799 74220\n96180 96921\n59453 99101\n11038 97735\n16223 94811\n74680 86959\n18970 40803\n8825 56103\n53046 62540\n21267 25173\n82234 84346\n895 2492\n32885 38236\n16303 86854\n6514 7567\n45094 85693\n19199 58960\n90857 91796\n19746 71008\n75703 79053\n4317 79732\n37173 79283\n25196 84758\n1751 96817\n10920 84307\n27530 98401\n26684 84349\n2995 45419\n78490 88543\n57784 79354\n50128 83002\n36256 50973\n60233 77596\n53744 98700\n68379 96980\n53560 56506\n64102 83406\n10996 90483\n86016 86418\n54199 76567\n24657 29287\n16061 96231\n5411 28598\n67484 91643\n8533 49416\n34665 36285\n55516 81821\n16978 58331\n25003 28024\n39750 80992\n36064 92515\n31467 70548\n30185 54221\n14316 76037\n38956 66369\n10108 24409\n344 42550\n19176 68986\n27209 91609\n50339 74646\n48961 97573\n2398 99904\n3699 78834\n43114 72077\n50457 75289\n49438 81331\n54163 77150\n40955 88682\n13742 72560\n5788 96800\n11128 25077\n37426 88150\n6170 73902\n50562 62037\n31703 35116\n25803 85532\n18721 83571\n25301 40278\n25730 70741\n44204 93960\n45604 58827\n59707 74170\n62852 94090\n20972 80310\n23516 60881\n85353 97111\n24087 61381\n6566 77843\n70096 90415\n69668 70262\n39985 42231\n87993 95812\n63890 76891\n9691 68441\n94009 96971\n38939 42955\n29814 50153\n12385 65105\n31372 95271\n42294 67277\n40546 71535\n60621 77137\n62915 99516\n25136 93039\n22363 56250\n24507 61516\n32952 54749\n3684 97040\n30605 37074\n59607 83164\n30306 67185\n58273 58527\n47349 77426\n26843 41709\n11932 49375\n28089 71124\n40949 93220\n81937 95556\n3467 87777\n24 13261\n45212 79664\n53858 68727\n38039 42962\n43185 96680\n26637 36937\n5429 99085\n45069 79037\n66492 74412\n10175 84653\n26370 76109\n53414 99121\n44606 72040\n54343 98068\n49274 67440\n37503 61315\n15611 50316\n61776 99520\n28042 49108\n8437 38782\n62344 70478\n1307 61255\n58127 67119\n28666 54577\n71161 95597\n17991 59181\n44085 95305\n3370 69830\n52241 54629\n74776 98540\n67477 91514\n23536 31863\n52847 63529\n17172 33007\n14448 72437\n9430 10590\n30372 59683\n6122 10092\n28257 51700\n11583 81954\n45133 51658\n35709 45427\n6489 49544\n8668 79886\n2847 12004\n20026 69955\n9633 21723\n22304 45305\n15124 41968\n8010 96540\n18687 87482\n70965 95770\n89921 98297\n75952 86330\n38885 94007\n49604 52750\n78139 91178\n43101 82351\n20147 21387\n75449 95193\n14506 52423\n34735 88296\n52925 59636\n9202 80194\n7463 7670\n37763 52802\n16692 35332\n36914 68720\n5835 23702\n32633 34529\n1172 38211\n50048 74290\n2185 82374\n46164 92548\n41561 50376\n71969 82963\n13120 80772\n38608 44251\n21497 67802\n84186 88289\n43475 53861\n17083 76852\n56355 69294\n85585 94725\n11490 87561\n22722 77311\n60543 90675\n3144 44883\n21276 96256\n31254 87434\n13292 74432\n64241 94720\n12566 18754\n54956 65688\n7033 74623\n41104 79003\n83196 89674\n64917 81841\n35691 90193\n10925 13415\n28461 37153\n39395 79042\n70786 71537\n6321 95961\n23862 68220\n16275 92687\n9298 25616\n47091 50177\n48272 76825\n19725 89816\n82994 87529\n82024 85463\n73022 84881\n9335 11413\n26760 51878\n3485 9608\n62716 67978\n70820 77978\n957 97833\n62974 67900\n15955 62799\n17504 71101\n11240 17281\n25485 31358\n25606 88943\n8738 82814\n9226 78557\n14328 93047\n18510 50440\n48703 79492\n10350 16649\n30256 97969\n76505 84313\n56725 81784\n19136 37179\n12508 36243\n5524 17558\n3502 34192\n4636 59920\n69251 76923\n30956 63399\n22886 98275\n68759 73694\n4111 86933\n25196 84290\n46178 74026\n88331 90563\n28010 56804\n14037 77830\n55462 98875\n16964 52685\n9872 28253\n46131 68385\n9301 45088\n4464 98721\n45413 99801\n5836 91318\n33849 86762\n47530 71024\n72347 85517\n15298 57852\n60487 95457\n20241 24318\n7408 13219\n35759 40419\n46310 99395\n42798 97053\n22391 96480\n3622 96170\n49916 76516\n90030 93913\n3813 86179\n21224 55827\n56678 85408\n61572 77549\n44268 54506\n38653 82419\n33610 35142\n14655 86695\n11451 17345\n17635 58796\n27797 70507\n69214 71708\n72662 73413\n88361 99063\n46991 75822\n13265 54726\n46074 96598\n35989 83340\n21486 25375\n43133 59629\n65404 70457\n40020 60731\n33228 91506\n35149 72520\n29328 47996\n63862 85539\n24867 62107\n41744 90995\n85957 87480\n33729 75906\n10954 16586\n2952 3189\n26500 57382\n24317 26519\n41794 87973\n13308 38651\n57306 79033\n62113 93213\n63048 64273\n67996 95761\n13273 53239\n42502 79365\n57159 67948\n11801 62296\n35689 51645\n54896 93868\n22250 41771\n25239 98409\n25229 55816\n11428 29248\n70236 92197\n71459 96977\n65381 70259\n38718 49692\n71667 95049\n50668 54680\n36368 69319\n87852 98460\n18161 44570\n4374 99003\n10957 11135\n62484 92368\n26854 70386\n16057 21966\n2391 28912\n11259 23158\n138 54882\n32675 92386\n42565 92561\n51920 67194\n35099 38555\n22486 24602\n13124 38392\n13047 60719\n12742 91126\n8589 55995\n40329 92269\n58174 98734\n8097 74008\n33359 64743\n57109 73981\n5796 75444\n46853 53219\n23865 82448\n46892 64632\n39958 47161\n135 63169\n24854 50117\n22302 66795\n10003 34478\n1425 79088\n7921 26495\n23649 82902\n13623 56526\n23260 50742\n47942 80151\n42492 47073\n3697 85375\n76095 81418\n71852 87577\n68697 94509\n55796 83932\n51680 96410\n80130 90925\n34221 91836\n44207 77980\n34763 38147\n15667 50008\n21392 88509\n9593 31768\n30363 31935\n70530 84029\n10339 25981\n36603 87365\n2485 33907\n63111 75333\n24329 28272\n33834 69361\n53302 59463\n4761 68181\n16843 36665\n50104 89367\n23558 24779\n6118 60341\n30171 87136\n68514 95434\n44966 54567\n65663 83708\n27795 71126\n48533 90780\n3676 52502\n2681 19619\n12440 66848\n24850 27958\n39341 84229\n37036 60932\n26548 47459\n73813 82185\n17724 69558\n6268 26285\n40808 71294\n64482 72836\n31624 42086\n17350 75426\n18175 65925\n11157 94820\n41498 97822\n62876 81958\n47572 65019\n15186 88468\n39352 75531\n59748 91299\n17756 52500\n38799 60364\n6925 68213\n77323 91971\n59835 67791\n20245 50251\n38308 59574\n19542 51280\n22382 49493\n1551 61349\n37114 98505\n12833 96647\n24231 88422\n21417 62332\n58236 66004\n21875 52340\n27054 76909\n66946 73653\n46010 84959\n85000 92034\n10074 61496\n8238 55015\n62333 62899\n50583 65190\n17162 58387\n5772 57603\n28659 65566\n29103 45516\n91483 99096\n46754 85768\n31826 64635\n10730 36182\n8767 98500\n15788 89884\n47393 82160\n6277 31272\n1611 73288\n65570 96753\n35698 79459\n26186 88247\n7706 10933\n29346 31569\n68751 83732\n69155 78151\n84460 93924\n45702 68120\n3111 32214\n37389 65014\n55907 65854\n66087 95164\n20654 35865\n19874 33687\n11956 99017\n1494 5281\n34878 97623\n20750 48544\n37381 75778\n12778 86309\n29551 47858\n41324 62958\n63949 78340\n95228 99024\n54841 75082\n54183 76045\n4536 97599\n33476 58359\n47345 54993\n23833 25297\n9937 54461\n51833 58599\n24842 40494\n17600 80382\n25075 89119\n4100 99943\n48224 57718\n6252 32492\n33170 44996\n16315 99034\n69070 96039\n53675 79022\n25813 97358\n31747 57041\n39443 73568\n34470 76214\n10422 23744\n56977 68563\n1917 6054\n45236 65073\n19053 65261\n18503 45579\n14240 88234\n5110 47801\n8050 57206\n48210 49412\n5314 7307\n71437 87078\n36777 64871\n12077 23748\n44948 78446\n5503 79841\n14797 50881\n43023 86842\n20312 55667\n28134 91679\n88650 94346\n5609 67924\n8486 78363\n51590 77081\n7996 29472\n16712 24556\n16901 23918\n37020 44507\n6178 35908\n3064 70761\n39073 78448\n47536 67909\n5468 16724\n761 53738\n30290 85843\n17665 30234\n65972 70738\n42143 66991\n53184 91118\n6116 72365\n5981 63132\n62064 74813\n39770 75152\n21548 95882\n92812 99958\n3031 96969\n48274 72992\n15573 21170\n7218 98694\n34297 97382\n34249 42236\n31329 69164\n60302 69523\n59626 84038\n61685 66837\n34158 34830\n5223 31232\n2631 98661\n44145 95566\n15949 22191\n7711 85349\n28442 78397\n24693 44921\n5364 89270\n32420 95166\n50085 96223\n17698 54109\n17519 57787\n1112 7068\n88576 97642\n68705 85463\n15766 38455\n27147 98567\n19243 30399\n33018 94680\n19518 59408\n41000 70979\n94383 96359\n38393 57571\n25287 76540\n22030 46008\n34478 53077\n32745 39067\n11200 14405\n49686 73880\n68513 83145\n31412 67042\n54372 84369\n29576 89777\n29305 74451\n24998 88175\n5061 62828\n73281 86103\n7465 38957\n3184 27089\n59629 64685\n50566 83428\n40896 83075\n30878 62157\n18641 58436\n13306 82049\n48553 58486\n3511 84968\n70722 96830\n42039 77109\n65807 71026\n60437 98886\n79819 84437\n21806 59506\n10975 19821\n17135 38885\n58817 61773\n12556 78803\n11939 88130\n8296 13347\n43112 73881\n13453 49649\n11008 85528\n63250 98710\n42585 98909\n34968 51888\n17707 39898\n20331 63413\n51084 58928\n1709 39449\n32694 56848\n5497 69440\n72 10574\n46210 68037\n37132 84250\n69886 70688\n4091 36231\n17576 76824\n59911 82685\n19675 44543\n8925 93058\n1501 17622\n90431 92214\n30172 37581\n34304 77948\n28099 86540\n10184 41889\n32401 80149\n22806 34806\n52256 63067\n68399 84318\n38384 40853\n61718 77033\n8548 30844\n92238 96400\n870 30761\n19440 26021\n8268 15072\n47511 64441\n12003 58823\n10028 74753\n42872 85809\n44501 47567\n44887 56265\n74272 87709\n2013 64321\n42231 93549\n50572 51296\n2965 98754\n90563 91282\n56454 76808\n27894 97884\n28870 54817\n24742 43983\n17187 96938\n1819 97037\n8752 80720\n17001 26556\n4186 79600\n19586 63742\n45000 49193\n15965 31388\n15880 36563\n40085 76176\n42143 89643\n15799 78993\n6396 27086\n35156 35913\n13689 81238\n3405 49790\n15409 17175\n44953 46860\n30463 61866\n72811 88530\n2330 69502\n27546 94408\n55760 84272\n12059 34032\n7078 11302\n40643 88763\n13191 76371\n89921 96824\n42687 66594\n3846 91210\n41802 51469\n51855 53282\n41517 90697\n9595 27476\n60100 68469\n49792 55050\n6778 48528\n15778 81132\n53159 63875\n37847 39679\n14434 69742\n2721 91750\n13602 48931\n15900 17057\n10241 27531\n30237 65955\n4874 98062\n15363 58350\n59410 70960\n4276 25411\n70881 78642\n54547 87295\n9494 50702\n73647 77741\n42469 50923\n63041 79207\n39664 72498\n22922 93751\n14899 79395\n20641 87470\n32635 42767\n17954 29216\n21687 57392\n69181 93881\n30272 65507\n39141 43483\n42169 58255\n63549 89287\n9138 89446\n39597 59396\n23779 41624\n45135 45927\n31464 36406\n5017 30406\n43438 63595\n4416 50478\n61411 70107\n12428 14025\n15924 65896\n18322 23177\n15969 35581\n13228 41569\n1548 75752\n31412 40462\n75622 98774\n22325 62636\n7706 79376\n11032 26518\n3104 86328\n7701 77659\n84081 95546\n36912 53265\n14117 91326\n20798 65323\n28176 97937\n18272 41717\n8396 29110\n79403 90779\n5992 50592\n82128 93482\n34824 50714\n68041 90646\n60967 77378\n51301 97773\n5882 77619\n41857 66684\n65483 81085\n51228 65685\n65226 91717\n29238 88035\n9843 28462\n483 495\n25353 95523\n53904 72836\n17548 95445\n47599 69495\n29149 66049\n43908 51887\n65408 91802\n23362 98961\n16628 37112\n25371 48356\n4742 79435\n24937 48565\n71163 92735\n8941 38695\n69929 99213\n34628 47037\n57938 86861\n25458 87463\n45202 65629\n1023 14345\n13993 63137\n9078 96189\n24379 66611\n25341 69592\n7018 26633\n36916 74758\n36618 87000\n14354 86890\n80234 85461\n95161 99388\n39104 58084\n35345 96017\n26117 77884\n27693 84808\n48860 96433\n61892 86490\n32812 78902\n32712 75125\n36585 95798\n4354 22232\n22240 75891\n86355 92623\n49958 93036\n29115 35324\n63553 74963\n55168 65023\n47838 94792\n4909 53455\n30678 77612\n5784 22239\n5820 34440\n2095 45180\n35921 77551\n6810 14585\n16001 51025\n47185 77044\n12189 88863\n27322 73731\n37952 66846\n37320 47885\n772 9071\n18268 49560\n15907 73882\n3271 51174\n15749 44382\n26407 92621\n65376 78952\n1619 24769\n77882 97796\n9996 74796\n3339 79864\n24752 65606\n50491 61992\n14514 73775\n24524 59717\n53403 61090\n25557 71420\n327 18850\n76291 95849\n31357 86068\n35074 60821\n17812 94605\n8030 80340\n10851 22919\n4374 65115\n3947 43571\n49562 67603\n49020 52982\n70305 73405\n51943 88541\n6073 35367\n4751 24163\n47912 82377\n16323 59605\n67633 93746\n60221 78239\n17915 74166\n10448 81363\n28866 54191\n634 30886\n43908 88635\n12507 64690\n7996 79089\n17942 22954\n73223 90712\n956 48648\n31968 47601\n33164 34778\n38127 91537\n22203 63806\n70583 93347\n46145 81781\n46275 82808\n35208 87124\n17091 84325\n42542 87437\n89112 93395\n57165 72541\n9902 36715\n9703 31073\n22569 69224\n34533 44116\n32014 78211\n1594 99536\n2301 96423\n968 75398\n8176 70780\n74792 88643\n73193 89029\n72575 93128\n40054 56759\n20215 37934\n11858 25153\n14497 57452\n50976 79751\n2865 63953\n28145 50603\n47223 71496\n75919 77970\n31576 58903\n3721 37957\n18400 88758\n51628 88518\n57887 71286\n30143 80726\n50465 68517\n48300 80426\n15829 74492\n6306 95925\n2118 13821\n20100 28910\n29893 49179\n12830 79874\n66442 85215\n62273 87695\n11302 79201\n31144 48797\n19599 25104\n22238 62594\n9691 35532\n53650 71402\n2072 36232\n14629 54934\n2681 50365\n2247 27163\n10321 60753\n40170 80998\n9004 53931\n39499 93452\n43651 88944\n25963 68728\n3674 33537\n10249 94171\n93051 98337\n15440 80912\n41808 61035\n42256 69550\n40517 71304\n28906 45468\n4672 95460\n40808 52404\n21134 86487\n77763 83222\n44984 90766\n24219 85618\n23248 33410\n82193 94375\n5728 44437\n16498 48651\n56736 89162\n28933 73453\n34596 88333\n35816 56939\n32852 75852\n19735 36943\n5077 76843\n27847 88167\n13393 29405\n45501 87122\n54877 55912\n45510 94002\n28616 75502\n23540 49652\n22392 94194\n20351 39693\n29988 51514\n25825 43454\n68129 88426\n60890 80692\n1718 28861\n12334 67324\n59842 72591\n20898 63999\n65418 81003\n63543 95827\n49182 65023\n22059 42830\n51369 70840\n91974 93507\n35180 41025\n51745 99075\n21601 48535\n20628 86197\n16109 21452\n33563 65401\n1985 36392\n45492 85975\n56620 81607\n18009 62217\n20158 26553\n1503 20715\n13987 33006\n7308 23453\n53741 73723\n35420 82506\n33785 64048\n42532 58816\n5698 91927\n46905 56315\n27999 51160\n39073 59397\n31016 78947\n17660 74995\n47574 68589\n27258 71109\n3509 6127\n8589 78655\n64593 71740\n8333 81460\n23095 91171\n6370 10917\n22066 52152\n17416 97997\n72897 86270\n11098 45216\n27186 32047\n23073 90253\n5506 96405\n26387 80497\n51540 98049\n13805 65127\n61629 84969\n12768 74525\n11822 67621\n25555 84300\n45143 70336\n58379 84973\n349 76927\n54302 80795\n37425 73039\n3886 98280\n54529 87810\n14846 46993\n32920 41657\n35795 51854\n40199 58890\n5914 26063\n23728 74870\n65117 78048\n19107 61159\n5368 32781\n9070 63814\n17575 86360\n3838 14945\n14404 64560\n41371 46803\n6631 57507\n13889 47129\n15887 42633\n72401 74070\n88780 93922\n35791 85215\n15583 68001\n60392 97680\n28664 81062\n14950 99102\n61185 90405\n66137 87563\n6503 36851\n47453 85238\n28780 46209\n2138 68793\n50529 72759\n36050 89280\n27759 45371\n10976 29877\n47124 87414\n20902 45144\n60569 66328\n8872 28308\n34589 38024\n1282 68106\n24367 38053\n12965 66892\n12480 21855\n88506 99188\n57337 68562\n21387 75791\n539 1602\n20906 47590\n19657 77677\n74959 91589\n27009 43759\n36443 55386\n70677 71467\n13016 65560\n56094 56873\n1752 80675\n34891 73553\n5590 64908\n24406 66271\n56930 57142\n75122 79662\n4157 42198\n7799 79388\n37320 63183\n6877 44868\n32715 82407\n63006 95720\n1582 41704\n86967 98099\n20171 41940\n44838 80642\n19538 81515\n39175 52042\n29144 91472\n17656 55038\n75451 95208\n50949 60851\n26251 99555\n7464 84062\n6866 50032\n1618 30242\n38338 89394\n64544 69082\n61870 87509\n53545 92666\n70537 94330\n75647 92235\n46324 47228\n81049 98312\n5255 27584\n29735 41850\n3135 3396\n19472 38152\n6217 82815\n51458 51618\n14574 34213\n464 25682\n53287 64718\n68364 82929\n57210 97229\n57240 74800\n69840 89701\n12650 46158\n15266 23518\n61722 81303\n31241 69521\n65295 90882\n23839 31886\n5579 46446\n50600 70502\n40914 59748\n23236 58576\n31216 80966\n8757 42051\n9356 25148\n81636 89538\n1482 74883\n1301 40321\n47001 87435\n25620 45586\n29225 46207\n17829 45455\n48528 88765\n40154 53587\n34209 61443\n7802 28712\n57909 76070\n6402 37198\n14479 80927\n93211 98318\n1353 7257\n50516 72488\n49055 95299\n27126 39413\n2623 68361\n49933 76980\n147 3866\n11611 60504\n9525 98552\n40079 95150\n77624 92019\n53563 55616\n19535 72813\n25679 53228\n29869 38458\n69757 86209\n90364 98464\n2091 81879\n20379 40358\n1719 83143\n27696 65552\n41527 59733\n49365 86072\n60214 87291\n14598 67494\n23492 93497\n15221 61490\n36594 90058\n72821 75243\n46422 63619\n387 74847\n11055 22738\n10777 30901\n80791 90518\n1400 70519\n74639 89642\n9330 95025\n7222 95756\n66565 94352\n89492 91658\n71767 90391\n83158 84920\n16853 62281\n29116 62695\n10824 39303\n10842 31231\n6244 47113\n38707 47499\n37878 57125\n73397 85807\n26736 93842\n6805 79845\n43424 57782\n55788 72696\n14390 92623\n30240 34875\n9449 80047\n93070 94394\n344 9676\n87539 89382\n3979 59369\n59374 68615\n5099 19491\n28967 55126\n42148 44619\n22220 62501\n5229 58867\n7942 10406\n48013 60397\n41314 89797\n53268 73282\n70811 74503\n37070 91617\n31073 83437\n1925 85652\n38158 85713\n47367 74919\n41802 59087\n5318 17153\n3229 89950\n919 50324\n50084 93608\n24547 80756\n33142 45834\n8260 71755\n27522 45543\n64831 76311\n41708 97205\n21576 60731\n41242 70829\n44607 47988\n69729 75962\n46459 69720\n2019 20106\n46726 48600\n5404 67908\n6817 62305\n22772 85391\n24879 64842\n42079 99780\n13497 90233\n6077 55532\n35559 45654\n18936 81469\n45186 61185\n25775 88734\n53307 90414\n34381 51919\n35031 50957\n5801 37035\n13530 90405\n17453 55815\n7976 37067\n33564 95323\n6504 58573\n38189 80675\n14821 92502\n38012 71055\n34073 92251\n79916 82359\n57031 64981\n21938 60538\n17311 69358\n39215 59640\n21358 56245\n26162 39065\n34083 47810\n17026 78883\n48383 64213\n31388 95943\n9235 53738\n15100 80456\n6832 48723\n58338 81059\n697 10150\n74560 82010\n23888 38138\n54053 64361\n29702 73918\n71744 98285\n7206 52365\n12529 71978\n40869 87783\n9981 66817\n531 11777\n5577 49612\n35212 67741\n33704 82467\n1279 1694\n63848 76461\n70790 93784\n87145 91289\n83943 93995\n26344 30625\n15218 77453\n15306 88711\n13553 75381\n58305 59351\n29102 57472\n56687 91349\n19487 54325\n55764 87757\n15157 34702\n31798 38233\n8336 21695\n3127 62122\n5727 49699\n31701 38156\n12385 68883\n27430 74956\n14721 55327\n29648 36970\n62902 79317\n16434 87844\n33948 62489\n12231 17943\n28407 99383\n70664 89970\n19457 88069\n7855 82292\n10154 14395\n8423 91397\n44674 83289\n64687 72426\n14352 15615\n26123 46745\n75047 96844\n8124 50694\n14301 72683\n8350 83945\n83631 87677\n17837 39673\n26664 83279\n58726 94984\n23439 68424\n32698 54652\n6779 97996\n9240 82183\n71860 82126\n32826 59807\n29887 95921\n9173 26193\n13924 82407\n19898 30546\n48144 62957\n14281 50333\n21615 98997\n20665 40316\n22009 49046\n12762 83361\n79644 90138\n1500 1806\n42265 71020\n41917 75763\n91002 99960\n60279 73220\n36924 70392\n12367 12657\n84833 86104\n9812 81496\n33499 67696\n54222 87335\n16635 29132\n622 6576\n69680 80206\n71732 80358\n22461 48943\n21527 37128\n23744 47838\n19507 38579\n67714 82764\n21306 28212\n57164 69026\n15481 54370\n30367 70351\n83187 87060\n14358 43416\n73693 87940\n33939 95387\n3602 16551\n24933 97158\n88698 93282\n2356 78488\n953 2348\n56785 63116\n15816 75443\n48556 70920\n60784 91822\n38534 45204\n52244 87326\n35810 87352\n50214 76666\n48937 54422\n25882 31777\n22996 71448\n90299 92233\n28056 29599\n7459 43801\n2643 32644\n75971 80258\n36711 84781\n4797 16985\n32307 96414\n1136 2628\n25484 32000\n44271 94198\n2305 79471\n67533 99782\n70857 85509\n54706 88433\n66296 90550\n18982 49550\n21450 85867\n22498 90333\n50573 63710\n47197 48246\n49443 83722\n24768 58896\n2527 34990\n56522 67475\n47138 79545\n61216 72598\n41474 73129\n47248 60111\n56123 63307\n60811 83740\n37777 88094\n40396 43519\n48298 97232\n31854 79366\n12470 45278\n38851 75905\n2345 5808\n44282 77838\n43064 87697\n1206 7392\n50102 51960\n6414 50997\n24052 72792\n7421 54399\n79625 82551\n24607 89556\n32527 83918\n14505 28339\n41557 80139\n7178 97138\n17634 24075\n37243 60533\n18155 28230\n70688 97942\n74011 95440\n72520 90440\n45 8222\n75911 86442\n27992 89167\n47203 97129\n83782 90682\n83860 86995\n47301 51112\n63750 85139\n1243 43802\n4293 83771\n47679 67065\n20266 54256\n55901 65433\n31473 64279\n8504 50073\n4360 97827\n619 21457\n67642 69579\n31314 99059\n44545 50490\n29771 41888\n83575 86068\n9955 67764\n34927 59951\n61167 89686\n14191 22868\n60054 81058\n66437 99173\n3793 44339\n10099 32040\n51316 60924\n4637 24090\n33776 33869\n41007 47960\n39263 96611\n45126 84638\n14320 44606\n70198 75175\n29242 95198\n19131 74631\n39364 94685\n56850 94970\n52413 59926\n46672 85370\n37588 96187\n64950 68928\n36084 87053\n45187 95068\n30434 73980\n61073 75595\n54772 66508\n32007 65772\n10294 85862\n45858 54084\n44372 79297\n1229 33969\n13308 73705\n39990 66201\n64561 66711\n67079 75646\n44160 76004\n86325 93913\n59921 84663\n19570 62517\n19242 46751\n63318 86978\n92603 95371\n17521 80583\n40253 93434\n55275 78090\n83334 94715\n11180 75507\n67283 97319\n3974 50259\n13492 41393\n25796 91246\n14774 22538\n39553 81588\n2165 39958\n10634 21738\n7169 83399\n87788 94459\n67343 70308\n16248 22948\n33564 98342\n18877 99605\n32850 77243\n23561 96426\n454 64981\n16021 75792\n46763 47167\n31865 62247\n78482 82789\n35975 66254\n9692 76798\n24780 41533\n91049 95259\n63645 99694\n21051 44063\n9382 70348\n32717 65931\n84101 99179\n66248 66643\n37104 53820\n91263 91912\n23944 65495\n1558 46705\n53350 75949\n43745 76152\n25716 27458\n2688 80384\n3266 33732\n12991 27385\n14853 46210\n6084 68510\n2194 14518\n27042 78438\n28106 43887\n65349 79776\n68131 82000\n14781 39244\n66302 91674\n6242 97524\n26809 58015\n25011 83817\n5589 49952\n9687 30068\n27405 93952\n6857 54262\n81759 89279\n20054 50382\n24563 84225\n31901 59852\n29803 54349\n8732 57583\n35736 71162\n32678 62271\n38036 65404\n86339 90736\n2551 64910\n1065 62164\n27517 97749\n21014 95368\n55238 78224\n8512 46439\n10410 12637\n637 73690\n64044 76676\n23691 25654\n53957 66513\n68573 72876\n41003 44443\n14827 57777\n45499 71644\n38780 74507\n41180 90649\n63313 84795\n1719 97632\n18124 96973\n63868 81301\n39767 62666\n17203 18894\n36847 38980\n25612 55284\n51971 56326\n64513 83996\n38145 60978\n42151 58291\n39824 69282\n7032 19400\n20469 43670\n31381 34297\n46418 80770\n9734 58534\n16474 53643\n20385 95727\n47054 65925\n26654 40331\n12181 33506\n78853 85287\n89102 91883\n27773 69611\n39764 85428\n6322 83735\n17826 67910\n39373 84848\n37435 95159\n60053 78353\n61436 90345\n10991 11050\n2233 28569\n4311 22596\n30775 55544\n22816 94583\n63664 93259\n63403 73467\n79692 88548\n29933 46679\n36558 74369\n10617 25374\n39792 63696\n10041 51401\n31488 75448\n35032 58505\n25906 55355\n36295 36313\n31067 83459\n84412 99001\n26988 60520\n34870 78024\n62466 79101\n4860 60591\n37667 86140\n38758 57399\n27861 42008\n57484 65943\n68626 87573\n11828 21154\n35925 48233\n36834 99970\n30813 63574\n12229 67103\n37686 73795\n48234 65782\n21709 67317\n8906 70962\n41286 54373\n22713 72203\n11580 40158\n26551 41065\n49537 99221\n5322 91528\n39776 64880\n36908 68242\n33874 73808\n12969 52930\n17270 19955\n81598 98299\n14272 81651\n34303 77721\n90542 94881\n8774 70798\n37104 53253\n39048 77398\n87440 88583\n28848 29066\n60558 76426\n5452 19051\n37512 38893\n16457 53277\n36553 98968\n2564 9357\n10633 99860\n128 93449\n11990 24588\n5630 78286\n77953 86370\n75620 79138\n35788 97829\n16476 52942\n61368 87481\n34649 58688\n56567 56757\n93235 98836\n7117 45969\n80597 84281\n43889 68260\n41803 79922\n66929 91047\n5329 47953\n9020 94085\n55892 73001\n54645 59821\n14859 19549\n15428 75444\n91753 96140\n896 44567\n15975 33258\n35444 86826\n33947 70050\n23186 86021\n45907 96340\n22391 66957\n28640 41690\n63444 77827\n48810 52328\n26645 51711\n59767 64036\n77513 95760\n35691 99770\n51593 62085\n42708 80521\n69735 80202\n35024 36499\n9407 86332\n77920 96933\n6737 66427\n10747 28419\n41437 57017\n50659 87195\n759 79270\n9744 88645\n84454 89071\n11982 67609\n42198 76466\n14102 26603\n26841 82720\n79306 84968\n25397 79036\n8651 74324\n27960 75730\n64277 85068\n24681 49462\n49212 61583\n42666 63699\n21792 76682\n21937 56638\n62925 92522\n25200 50904\n43786 66256\n27878 87554\n50937 94720\n18083 23032\n93280 98148\n70268 96736\n41036 54783\n54308 72630\n14613 95424\n6106 89868\n3524 72485\n57519 66710\n16792 47759\n59076 64319\n44956 75694\n39128 53550\n1886 99690\n3436 15537\n62418 67880\n30729 54317\n24061 44616\n30453 51313\n79902 89580\n60316 92769\n61327 88637\n61761 87830\n11190 81850\n40888 61430\n12249 82334\n21527 39338\n1814 7943\n12808 57437\n49029 66921\n48519 56909\n40686 61671\n11179 34236\n17956 93116\n18998 29137\n61612 67123\n33126 66236\n18100 42503\n18627 52143\n14946 94524\n52427 57352\n68686 75270\n10902 29597\n5063 31776\n86400 96381\n20583 60052\n60495 64136\n32086 59115\n4278 53016\n49438 86990\n41719 80872\n35951 92188\n67444 99295\n26471 52280\n4515 65914\n45296 71998\n40576 54128\n2962 52891\n26370 78955\n5435 89171\n34378 99783\n43293 60965\n14359 70859\n51364 75185\n81705 89725\n14293 45156\n28762 95951\n75723 82083\n54953 79812\n25676 85915\n6706 50011\n12645 20558\n24654 72448\n36776 43007\n57648 99938\n10706 75365\n14569 20986\n29477 51676\n8588 37695\n20907 37587\n28201 42960\n5285 38345\n10288 43915\n63365 74943\n29867 75731\n49384 55982\n977 38215\n25168 57170\n53147 76467\n43941 55293\n33644 42479\n22405 38114\n63710 79576\n5239 32446\n23145 79979\n22539 93495\n53143 81563\n56599 66868\n11679 69620\n10882 51103\n27522 65655\n59005 76627\n8647 66671\n8941 88303\n4603 96975\n47834 62078\n26744 90636\n22069 78882\n5176 84872\n39835 66170\n44812 46201\n51378 92512\n8771 89329\n23138 56138\n6875 67247\n53085 68893\n14511 96099\n28624 79658\n34409 85801\n39574 40505\n52012 81661\n43948 51289\n3672 12070\n28942 30033\n13492 74933\n14046 49797\n39272 50775\n17728 91024\n67128 72050\n14999 51565\n4012 86377\n9024 57453\n22497 50791\n43337 91449\n6206 37771\n42517 82201\n7173 71271\n21426 46672\n10266 13174\n74730 74733\n3764 86341\n41315 99230\n24835 86684\n24411 99641\n31389 57873\n72558 83078\n73271 93335\n27802 72767\n7235 70002\n384 51518\n7174 42112\n10327 70268\n7875 40138\n48847 93281\n13479 17608\n41177 88040\n20043 25227\n39198 95400\n45210 49969\n31138 78665\n27637 55489\n19324 45796\n4023 19775\n22375 30681\n11574 47596\n24573 55146\n30737 60497\n37765 99956\n6968 81302\n1088 51373\n9452 19304\n26993 70608\n17386 66623\n37780 70583\n5184 78563\n6955 26178\n34403 46950\n8028 77842\n424 96742\n47819 90717\n23738 83234\n142 89829\n88443 89199\n32245 41198\n1942 51004\n22088 36940\n23778 65783\n82297 83181\n21075 59569\n88679 94410\n60201 64775\n7935 66727\n52658 77864\n13651 21845\n37501 67842\n7635 10528\n14036 36447\n12226 34056\n47260 73385\n7271 49217\n29929 92854\n47956 71663\n27723 56609\n4128 16106\n4960 99441\n50235 71979\n44338 88121\n29696 73150\n10726 58449\n6021 92338\n25282 83197\n5258 94479\n28479 61059\n63036 84504\n13560 36977\n69402 94576\n36535 94540\n15267 44483\n30299 55032\n77596 95661\n13078 97193\n74170 92172\n23408 74035\n59258 98198\n78483 84442\n43156 74059\n1016 17262\n18404 65233\n52242 92631\n89035 89227\n27576 81994\n50759 52532\n71033 75419\n11300 87408\n53881 78879\n52193 87397\n9908 11528\n1834 8358\n671 45307\n15039 43841\n73839 84813\n18282 95945\n9046 9057\n32321 94954\n46521 78343\n25284 69660\n42203 87824\n7039 54812\n40689 93241\n33020 62617\n417 17810\n45824 83127\n6643 58450\n33101 76675\n43617 90176\n52242 68848\n17119 70001\n66056 96409\n92754 97761\n43271 76085\n20758 94873\n18771 41332\n12467 20339\n14649 34264\n16335 18188\n42203 97032\n31156 42234\n37196 70927\n20501 65658\n67893 79450\n67833 97057\n65833 95999\n14846 76135\n3071 54842\n8438 14400\n50635 96125\n16580 39282\n40167 99117\n3482 27459\n62889 89055\n37938 55233\n67952 94570\n896 26276\n5332 57120\n33231 54739\n18876 27219\n84206 92256\n81189 94330\n52500 89729\n88376 99894\n29129 67051\n26994 77564\n82279 93928\n15831 90198\n72870 91458\n36041 37483\n22534 59062\n37080 90686\n49490 74836\n24769 40794\n44651 81419\n12368 20036\n88085 94338\n61160 96084\n35344 59452\n52981 84493\n34458 80382\n26980 32883\n72489 90094\n32090 35105\n33811 36546\n18194 38274\n80489 90291\n18021 76881\n11729 99325\n21438 75235\n1276 27985\n2347 64932\n87573 95715\n7432 75163\n48434 87101\n31172 35727\n31529 53225\n56847 93723\n12738 17355\n74303 96574\n5180 54343\n7260 84395\n13310 36991\n49788 68398\n57544 77518\n7793 12253\n774 91678\n29574 99013\n51714 89457\n3724 61232\n37149 96748\n1723 63822\n173 78756\n20997 47464\n49389 81232\n1395 21243\n38178 49553\n79619 98207\n71299 74124\n5702 53187\n14082 88904\n40720 47935\n59413 90159\n4602 58294\n14250 89972\n35496 54172\n51986 72439\n57173 62622\n9353 47923\n15431 95675\n9611 44021\n88028 97537\n6541 77880\n12728 32826\n33513 39632\n23033 42723\n10159 62978\n22074 58011\n2836 31291\n39189 54577\n40141 66634\n80495 82709\n37599 90108\n24486 66719\n2881 85614\n1604 82183\n29937 64550\n6568 16839\n12654 63168\n12486 77705\n13406 88890\n550 26899\n31738 86236\n46970 93844\n69004 99112\n58081 84138\n2007 16484\n21298 52584\n70176 77649\n25169 87883\n16536 25574\n54585 56791\n42314 45176\n18625 45478\n5915 40680\n59635 97186\n8361 63418\n56318 86618\n32873 70742\n1100 43280\n767 28267\n47652 62243\n19794 97943\n54352 56138\n69668 80764\n14260 81597\n52404 89546\n6259 46085\n34651 66993\n27001 38196\n50305 55039\n23958 48427\n26817 55286\n82261 84995\n61125 98099\n69696 87882\n69818 69979\n2296 52594\n64504 72382\n46634 60650\n10591 11130\n14497 21115\n89899 90686\n22095 76761\n2468 47453\n52058 80707\n11013 64042\n6417 17422\n15275 34396\n12642 78369\n342 26857\n46998 98015\n975 37101\n12253 63027\n57895 61516\n7396 89551\n15352 30548\n1392 39263\n21577 66144\n20126 24675\n6358 75829\n37963 93110\n63147 65819\n3773 80474\n25215 29610\n77047 95492\n66689 86199\n42138 73128\n16275 68302\n86171 87873\n78240 91831\n4940 63808\n22476 83080\n31699 41471\n23629 79298\n3613 54944\n42414 90558\n12393 22867\n5086 52506\n5657 47915\n57870 89170\n64951 81120\n33606 77057\n9416 53184\n17675 58664\n51134 80871\n50803 69023\n40314 66657\n29510 34161\n91230 99488\n14059 20406\n93453 95999\n1058 24189\n35373 99749\n47427 75302\n21933 64445\n7810 17587\n64974 67975\n31714 40388\n3656 54879\n29879 79200\n40233 57742\n18584 28103\n62867 75027\n65493 86227\n81441 98844\n16376 37875\n39412 87954\n27390 28731\n81997 88951\n24218 42762\n67173 84165\n21091 72536\n21533 51760\n13331 45752\n6645 54995\n36003 54034\n6892 30871\n4841 48474\n13063 57854\n7506 86842\n26853 68952\n45793 59490\n18101 62594\n21159 46163\n10999 95733\n27018 41162\n11921 53901\n65521 69119\n33625 55562\n15114 16599\n14581 64831\n73649 88767\n60703 66277\n49742 66073\n5388 69186\n69759 79980\n44547 74964\n23165 37289\n13896 75071\n62802 63254\n28002 93733\n13770 92688\n16303 51179\n50523 82558\n19224 23770\n9343 65652\n35041 51792\n5887 11518\n13824 76815\n24717 46000\n14215 88465\n36531 77167\n42854 50470\n20053 83601\n63632 78668\n33389 52928\n2432 90647\n13606 81908\n6545 32648\n8189 59881\n86694 95410\n65717 95247\n90739 92839\n14634 89186\n46818 68651\n47520 83534\n18516 51205\n28946 77462\n3784 87729\n50354 71371\n31992 80330\n839 77840\n12539 30981\n33441 43563\n24446 98128\n40306 75014\n63209 88858\n59600 82652\n16685 29930\n25994 63194\n28667 61331\n8375 68635\n2275 22266\n6411 34561\n26601 69013\n52594 74960\n45513 49451\n12436 73162\n2387 3363\n15562 83883\n17251 75828\n35794 72878\n17450 89612\n42393 59532\n13541 93209\n35690 65317\n29105 83805\n424 93507\n3009 16370\n35428 88500\n72255 85650\n33164 62607\n77418 94159\n29268 50836\n4915 80639\n12318 33040\n1832 57251\n18639 99256\n9709 84596\n6524 15167\n33079 94339\n78661 83387\n77231 82075\n887 36102\n7593 48873\n1784 78733\n40655 65347\n35473 78525\n31425 36551\n46503 99332\n80347 81913\n8276 10653\n5003 6667\n6817 40706\n72875 83794\n23823 80806\n60200 76390\n3856 85963\n25585 52748\n25326 98276\n3149 56412\n43373 98000\n47481 51608\n15499 53750\n10927 61565\n29404 79326\n16669 63535\n50005 85500\n38217 59027\n31791 60091\n18470 71116\n59479 74009\n27373 59934\n7267 82385\n57351 80053\n38639 99687\n10346 41786\n45413 73251\n6344 58449\n16935 86575\n24839 31406\n6322 91659\n7412 96659\n56960 93434\n83056 92712\n18584 47540\n6570 89656\n12835 85407\n10919 91503\n258 4556\n50625 76249\n11408 95492\n14687 16395\n7232 85860\n30142 92521\n32657 52849\n2315 19245\n1332 83028\n864 51527\n23493 62686\n68256 71724\n6602 60419\n64382 71746\n2739 31376\n54937 78985\n10651 74790\n6649 97362\n15821 89220\n30077 62696\n7055 56932\n30545 38786\n37075 55288\n43797 59292\n51578 76883\n61219 98305\n50477 50819\n47268 88860\n5383 43816\n14034 76067\n49783 99840\n16442 60131\n7060 70675\n47330 77033\n82468 98414\n11001 60095\n33372 56174\n41039 71177\n19708 31006\n8128 89508\n48740 56033\n38061 66174\n30561 39907\n38130 80695\n6041 74597\n62670 83387\n17726 34329\n60233 92016\n40268 61209\n26530 39600\n53409 84675\n44722 93391\n62099 75491\n27164 50283\n60781 78123\n12562 28289\n2726 20587\n51365 65883\n28218 62520\n34622 40273\n45427 68232\n38014 45159\n38711 81129\n4541 25771\n23039 59731\n52705 57268\n45393 68302\n8176 21871\n91300 96815\n15436 70798\n34534 73968\n1803 93620\n65030 79329\n11377 81112\n42976 48332\n39956 91314\n33556 56814\n59040 96718\n44329 93727\n32896 96722\n15188 47206\n8797 40359\n13150 19421\n22716 75541\n44336 53661\n41948 52924\n55273 65688\n28346 86537\n65861 76322\n29805 69778\n19287 57013\n49654 71158\n39812 52152\n1460 90689\n40855 42048\n39355 83305\n20834 46507\n21144 80642\n37749 81611\n2938 10602\n3861 35553\n45647 83335\n38917 53701\n80797 92254\n17990 94843\n138 46261\n32156 59764\n31987 40612\n1917 84538\n5906 81129\n86592 87161\n23304 43865\n60939 80959\n29583 58109\n55360 95411\n53934 94070\n38029 93736\n35610 48217\n49187 60991\n9189 69265\n30494 32213\n53831 76059\n38621 60926\n40081 75121\n64432 76453\n54644 77998\n12291 88483\n19122 40360\n12471 98517\n3883 26330\n61966 74212\n44250 94692\n26182 73344\n24070 95147\n27200 88891\n24259 38225\n57401 82568\n3722 31839\n14557 14700\n35497 96665\n33302 83798\n37438 59702\n49789 93031\n72210 79300\n4726 46567\n20414 42135\n29443 85003\n28134 70573\n46630 76178\n19770 29011\n46384 64279\n70701 70795\n46454 64764\n64644 93419\n273 76921\n27685 69451\n65646 79312\n39933 59805\n39024 54936\n67063 98767\n40599 54099\n25720 85298\n30338 74677\n95436 96353\n3279 40437\n9920 29665\n21065 90022\n48336 49195\n30977 70517\n6141 75968\n80928 93249\n46586 49554\n30677 99518\n48028 97815\n79214 91472\n48761 81571\n73129 89971\n72323 90122\n2486 65548\n42166 47092\n41638 53179\n44560 95637\n11958 72741\n75172 87924\n35880 54555\n51808 68021\n12023 48614\n27217 33145\n6210 43353\n49444 68276\n37010 53168\n80896 84082\n8591 38303\n47501 95893\n5190 89074\n48063 71537\n23922 85472\n18133 25105\n8611 51612\n17303 56114\n65042 74710\n36295 46718\n17228 84261\n8843 55887\n7999 59457\n37576 67405\n15972 33966\n50972 62997\n109 42607\n67059 86948\n16128 43972\n11673 89318\n3819 7457\n11654 12079\n46543 56724\n69534 71819\n60660 75186\n60002 79317\n40397 93273\n23569 63125\n58019 67054\n44254 96198\n10074 41685\n19942 92231\n15027 82871\n18039 21858\n90738 97337\n18513 94993\n7615 94548\n26270 39916\n17040 46522\n68397 75955\n30239 47298\n35146 72748\n57338 97900\n41299 57246\n30830 78996\n63007 70068\n27595 69975\n57299 66704\n20601 36229\n31653 65976\n70387 86134\n2186 62901\n48425 81474\n31426 52577\n14957 38441\n79284 82568\n26324 32726\n41662 80481\n22072 74313\n32825 99455\n24851 30728\n30409 34164\n76375 78264\n70463 84954\n30258 91228\n2921 27752\n7430 89064\n27815 92690\n9044 13321\n11571 36577\n17624 24251\n6896 16420\n4884 50415\n28993 68765\n79095 97873\n710 43910\n32228 90401\n19858 99025\n52227 62744\n25008 71884\n28484 67404\n55 59482\n24104 53877\n36559 37534\n79174 94362\n12642 67566\n65322 67128\n43464 72950\n66634 73057\n21816 50977\n95605 97612\n37818 45121\n21157 92833\n9357 89968\n14541 21100\n1672 56396\n23142 82508\n22987 68675\n14619 87735\n15224 67867\n20155 93047\n4821 29469\n31506 79736\n46951 54084\n19457 61656\n12313 16082\n50284 98991\n1160 1867\n328 47283\n36435 48582\n33560 47984\n14325 89630\n23518 60513\n53270 56491\n44436 95355\n72362 85709\n13878 95209\n15064 35408\n77941 97089\n36960 38233\n35594 94176\n10208 35267\n89253 97722\n16553 23122\n41625 80980\n18931 67009\n3225 61489\n22373 86476\n23246 54356\n26824 72553\n23904 65594\n1444 65546\n18792 89926\n30555 92734\n47208 53624\n38872 92268\n379 18265\n89031 93367\n25314 61569\n61869 97626\n44748 88559\n38073 43475\n63824 75492\n1231 31027\n20074 25051\n13678 96068\n5174 28666\n66347 99778\n77741 79680\n19534 68259\n38967 93217\n12183 93508\n1975 79109\n65801 83494\n9255 89032\n21928 94991\n6883 31251\n41869 63393\n57091 63811\n67710 86873\n56909 75841\n4627 14713\n28184 55712\n53190 71348\n62203 71477\n1951 82476\n49888 98082\n3570 16444\n2505 25876\n71683 76643\n33698 91410\n833 82188\n51838 89944\n37022 43140\n54205 77755\n24097 53817\n59414 98349\n16504 93794\n19547 23203\n9972 51758\n48698 59007\n17061 21474\n6683 50573\n890 40832\n14075 26973\n20352 26074\n69392 86031\n1503 19429\n60716 76270\n71692 90086\n11213 29865\n64746 77156\n26673 77856\n52316 78897\n1596 16582\n6953 63918\n28874 31655\n43794 77553\n24426 29394\n62903 73579\n42976 89694\n25721 33207\n35867 51279\n5409 44420\n26532 78128\n43133 92700\n4622 90622\n38199 96167\n50338 64601\n44440 79369\n31860 87561\n39637 74302\n56284 97264\n66896 88451\n12784 37310\n1304 13616\n12709 88496\n9840 84864\n31269 90937\n50488 80356\n34759 72366\n28952 59775\n15333 16562\n74497 75563\n9021 29913\n60262 62605\n76293 80523\n67000 75203\n53511 74237\n61299 82865\n58744 91183\n63221 81369\n52325 89754\n41201 93545\n5574 86036\n29142 61660\n32088 86707\n13212 59750\n70048 99556\n6474 62574\n7557 69682\n3583 10653\n3477 66316\n28124 82222\n7156 9545\n43013 86929\n7383 83494\n42520 82279\n24556 90576\n84691 98706\n52139 68685\n64548 66602\n45382 78045\n830 34673\n15515 20809\n2277 36459\n68883 69887\n920 90168\n6114 95138\n47007 76275\n66707 90960\n40908 42996\n10717 51435\n64685 92185\n70395 95789\n32348 34688\n35038 83342\n43408 77463\n90268 97226\n32714 69394\n30233 62108\n59475 80582\n14752 43682\n11634 43442\n17644 43153\n36496 57910\n11276 68863\n886 56124\n47303 51841\n60994 63649\n55371 66901\n30840 66294\n7455 27207\n60758 93260\n95934 96187\n36455 83587\n48840 69890\n16063 86248\n8040 92087\n32455 71320\n9479 40045\n67523 74368\n44324 59474\n56885 91589\n37808 70268\n12568 30285\n41788 46114\n81518 89932\n52060 88412\n30878 72880\n29839 57163\n83054 95626\n8803 22457\n43272 90489\n16478 92701\n25005 82311\n38496 95126\n1161 40514\n50890 55817\n6137 7319\n67177 95401\n44081 61478\n47873 90190\n12627 64261\n12931 66025\n19821 29727\n14771 52879\n29514 80934\n13655 68942\n40338 95225\n1455 68807\n8243 96571\n53650 94752\n20619 50609\n5140 8211\n43595 79033\n44795 56106\n75224 97572\n31568 63120\n46715 51414\n4341 72365\n54401 68927\n12692 39651\n14653 21918\n42378 67249\n36977 73077\n65427 99675\n56645 82130\n8593 63850\n44576 59375\n33729 34889\n81033 85646\n10649 78469\n3182 88532\n56249 67021\n45532 75535\n64994 91124\n5440 20743\n30843 81632\n13004 46893\n70957 91609\n47487 80709\n31726 57595\n4208 36770\n1190 3566\n28526 96197\n63746 95830\n24582 63291\n36068 78597\n2256 85223\n23801 88645\n15884 43616\n76536 87675\n21522 33051\n43413 61834\n20935 54791\n58999 90933\n16074 29496\n3257 19512\n31694 46222\n47804 78429\n26178 89884\n7597 82211\n10547 22038\n46193 54002\n7286 18253\n1488 68852\n7395 56088\n25528 46244\n24336 49774\n33439 74350\n6215 59627\n39394 80746\n21327 28347\n38472 85289\n60012 68799\n24625 70166\n68793 97846\n10061 80313\n49103 79473\n29366 96796\n13499 80493\n35684 99281\n29203 54031\n49806 62851\n80328 89631\n17649 65574\n56605 67448\n4694 65251\n64414 66997\n543 56184\n29597 76987\n2586 26558\n71504 97014\n21959 51563\n32322 37551\n57644 99658\n63735 96335\n22020 72053\n16517 97689\n63959 79289\n4631 36239\n13361 98057\n35412 65024\n9471 66474\n23176 51346\n57855 73411\n79931 94181\n7339 95356\n37934 40449\n39241 53833\n11665 38565\n26869 48651\n1389 38759\n12061 40565\n59549 66024\n3069 43432\n59782 70202\n24896 50564\n55880 67075\n17834 52248\n64325 97440\n34138 99320\n66254 90668\n50995 56013\n31462 48942\n50657 81450\n7876 35400\n8349 81115\n55144 93673\n43090 73584\n63434 81512\n30848 43918\n26774 67999\n2457 74493\n69034 80958\n76727 77212\n16405 17728\n7119 85303\n8638 17737\n7290 83428\n67389 92032\n33715 88891\n5835 41506\n36697 95236\n10240 46005\n53152 82397\n42854 95811\n2267 48635\n35 65204\n4133 30910\n46290 88402\n24369 88738\n9678 47310\n71882 83544\n53003 83344\n46256 63747\n11696 97800\n63132 70850\n11641 27118\n28141 48195\n8470 47425\n35145 71114\n18853 58911\n15348 23477\n5305 94067\n37979 57482\n48959 72776\n13996 28209\n37569 52240\n8374 27911\n30251 44534\n36798 64296\n10047 98447\n663 3486\n45156 94858\n60188 79307\n7728 72927\n17336 94652\n9886 92617\n74716 80846\n44347 86439\n2593 74515\n5281 66065\n19306 53370\n54040 63088\n77933 96290\n17482 34288\n53273 82921\n9811 62178\n37181 53303\n8709 25461\n9662 49909\n56606 56944\n200 56522\n36814 56368\n14807 30715\n39442 68569\n5424 93219\n17705 74327\n76615 88565\n22116 84762\n18526 79250\n72598 92496\n79631 90114\n37082 39518\n20853 91444\n29946 38569\n32127 69022\n12742 21400\n44629 84550\n12568 74531\n62861 68141\n13151 82496\n4369 80864\n52964 91980\n16444 82150\n22077 63898\n85597 89333\n23732 78657\n28242 55653\n18393 97141\n43912 57033\n48755 50032\n13395 56763\n12226 86109\n38835 91431\n26693 36583\n68084 83507\n703 63227\n48640 54790\n7240 10067\n3873 57201\n25278 85566\n45748 70485\n55195 75306\n81584 96213\n30137 61254\n6572 28184\n18468 26628\n49118 52931\n13975 35797\n35391 58691\n6850 15893\n54631 80184\n45916 66332\n25367 71098\n12869 22441\n20503 31044\n1096 24294\n8684 34438\n58676 75366\n10026 76938\n58887 64756\n1478 27106\n35775 76140\n54821 60983\n31523 51336\n70485 77805\n57199 74426\n19156 46400\n13700 33595\n60122 96387\n11084 43507\n10023 34927\n25135 44288\n70442 93190\n10047 86089\n16368 18796\n8851 52222\n24997 48575\n41922 84130\n51078 71794\n4798 37211\n37823 43755\n32549 48868\n36149 85852\n11697 29687\n20819 96450\n67036 72287\n957 85973\n47402 85253\n13153 78693\n48252 96266\n4961 38267\n13136 34921\n21520 67112\n15648 82818\n9085 55747\n27451 78376\n36969 73990\n26813 39010\n22138 87309\n31023 35712\n72729 98475\n21275 80880\n87628 98446\n70385 80115\n1869 30154\n72911 96297\n3771 74082\n20354 36592\n53319 60257\n11189 96235\n65679 93753\n11734 15605\n41627 71334\n14828 51463\n41487 80483\n46691 59491\n38974 89348\n69931 84771\n54653 73129\n17948 52571\n72198 95549\n34456 59869\n16384 53856\n16222 49440\n1985 6634\n22128 94435\n8123 53291\n34134 35899\n33389 73613\n37147 46237\n32405 98221\n58901 75450\n34653 66679\n38369 93852\n22488 57383\n7132 46963\n19065 30202\n14660 58220\n10376 20951\n35795 99916\n16657 52653\n28062 85027\n23552 30855\n48779 90834\n6382 50673\n35239 90667\n18525 84693\n21616 43113\n38790 42280\n45824 91835\n17986 58221\n19980 85796\n60514 75257\n63000 77335\n10402 19818\n15696 43893\n65315 75760\n18554 91342\n30622 66893\n26704 46152\n15767 32198\n8357 23233\n23720 74991\n61535 87098\n65692 96834\n5180 67010\n6092 93053\n54293 54352\n68011 76218\n4109 67959\n8863 59196\n33584 61819\n53024 65908\n66210 82801\n6465 54958\n29570 34517\n35657 95969\n4404 19020\n73273 81076\n83139 94840\n59003 93250\n9073 96116\n15525 22480\n42463 98825\n4395 29407\n9712 28825\n21051 62253\n71669 92990\n81184 99400\n884 95152\n36832 92115\n5701 11082\n94145 97917\n7355 15185\n89613 98953\n8946 35270\n9350 21222\n21606 89345\n71892 99506\n30610 96245\n1876 34604\n67893 90127\n26131 62722\n43782 52857\n29223 90390\n30661 66801\n22738 53858\n51007 94566\n38330 48576\n2771 64421\n11435 15871\n39105 67639\n12447 34695\n3642 35539\n11452 91285\n50516 90319\n1244 20480\n13630 41381\n57218 57322\n14520 84071\n24127 40082\n777 45726\n4305 89505\n2723 36070\n12600 29843\n5511 49972\n13671 65694\n61170 62192\n29984 57478\n3850 89170\n9508 80756\n74507 81025\n78987 79148\n21733 95193\n77902 96729\n35916 78964\n49326 72425\n29372 79593\n83705 99049\n53406 88756\n46879 84275\n5180 58335\n18611 30836\n20762 78232\n64695 67907\n57914 88004\n43391 66988\n63900 78079\n7009 10242\n33745 69126\n23935 69017\n23209 51940\n54711 72375\n10993 64902\n4397 19859\n29 55532\n35737 61338\n1936 73000\n35874 63484\n5804 31015\n6649 31239\n76742 95475\n16280 34628\n9207 37889\n53162 87027\n13238 86284\n23335 61728\n41361 55537\n38628 73714\n5745 26603\n46185 81599\n10072 23099\n30723 35191\n38800 78259\n76669 89163\n42036 83614\n7842 80155\n26610 71550\n31951 79174\n10962 48586\n72168 77899\n34110 60421\n48865 71078\n61010 63400\n21035 50746\n63618 77356\n14339 34538\n31689 73250\n17187 29725\n327 2319\n48053 64091\n826 67549\n55755 91034\n64710 72784\n29658 94449\n10346 38747\n38676 74472\n75089 76527\n45202 99924\n49634 81393\n40438 72976\n36945 96766\n26081 32944\n13189 46865\n53363 69862\n10421 80110\n27418 84291\n24707 60893\n67704 86198\n86198 93702\n24962 49634\n20220 47233\n72584 94440\n41825 43648\n72393 83546\n11128 32635\n8683 52205\n20873 78949\n9112 43849\n60771 71691\n37046 51457\n15565 82807\n35774 68775\n57235 84028\n70234 72813\n42008 78078\n7982 79001\n31573 99912\n70615 90437\n36491 81406\n2601 37018\n61644 77869\n42923 76576\n49062 68174\n70092 95956\n1625 49023\n35679 46614\n19905 30149\n5137 90477\n5967 94403\n16017 61770\n33514 80972\n16331 25461\n10997 81992\n37907 57015\n28487 38955\n75271 83855\n23100 86610\n79208 85898\n11642 23738\n3579 50180\n1739 80235\n29703 47442\n16955 55756\n8122 35351\n52336 80690\n76528 78045\n48165 63324\n47958 50531\n80397 86951\n11949 17698\n37928 87907\n9567 11557\n42042 44905\n55649 71347\n67458 67626\n32518 96631\n14705 67782\n74538 76816\n17791 76949\n28301 58703\n16435 60660\n23616 63684\n45209 78528\n65616 69134\n5395 52496\n66956 67461\n26373 46232\n51781 76108\n86879 99989\n20496 54832\n47246 99534\n23374 75218\n50086 70510\n17101 66571\n11801 61305\n63677 83671\n174 49746\n22097 26141\n2321 45090\n55116 56466\n23121 89789\n76653 79929\n75559 86926\n59014 85711\n14527 20819\n46834 52340\n87455 94372\n44710 81177\n68530 78217\n23875 99153\n8276 13177\n19620 82269\n24479 63629\n52250 81830\n9571 31087\n81919 89268\n21232 56677\n17819 33206\n49752 55590\n74948 96586\n8937 20995\n3216 32056\n10814 78040\n44827 88355\n48708 83601\n4279 61594\n22678 73917\n60606 62265\n93074 98707\n31329 47003\n51071 82226\n41213 92205\n1044 64249\n48023 67348\n58494 98025\n46219 62330\n5032 83921\n71577 73009\n57233 80523\n50439 65738\n30680 58469\n1989 33075\n68960 89594\n33939 51847\n28604 35831\n19770 85843\n74931 99189\n11412 55461\n72016 88826\n17298 61780\n38417 59799\n44518 90470\n58508 95140\n47877 49480\n27095 43643\n67117 68536\n40784 79475\n9640 19723\n61781 98961\n16618 51497\n13827 30237\n23134 44465\n45422 63407\n45684 90339\n6289 90730\n8004 79412\n81828 96313\n30394 38327\n96352 99011\n66870 71167\n14321 62586\n22555 61264\n24336 26375\n34121 48889\n68851 83371\n16226 94329\n61117 82297\n11810 40276\n30332 85558\n6625 35478\n68281 87840\n26524 49262\n83216 95250\n3207 24404\n49281 53629\n60031 83945\n5610 33822\n61598 66872\n22209 28752\n21892 76927\n48603 65210\n5812 45162\n7140 66848\n69615 85739\n47949 93160\n1148 76943\n78759 81030\n67733 72464\n31339 48504\n80268 95691\n62670 67559\n14735 52172\n42359 59162\n21639 48212\n42513 77757\n9189 56497\n12454 59404\n30026 53196\n15591 40271\n6294 57805\n40649 78481\n72762 76571\n40800 60537\n54675 63448\n62013 83918\n65723 65843\n36308 62738\n74568 78793\n17624 46097\n46005 88760\n51113 55870\n84075 96856\n59789 94881\n1282 12984\n47976 72395\n23431 90227\n3080 41376\n8668 57866\n41837 56630\n5619 23540\n25861 41003\n57886 88168\n6979 58979\n74967 78412\n40438 51352\n26466 64685\n24451 61488\n57405 83939\n37478 66071\n31188 99501\n82713 96665\n38659 70459\n670 35174\n60458 63331\n34037 95978\n15908 89525\n3074 48914\n16436 57770\n44882 61938\n18899 36903\n7027 23685\n37752 73112\n17347 99935\n63044 69024\n20875 28846\n37672 74234\n31666 96529\n4869 95792\n27029 48573\n13920 23909\n105 83633\n41713 97523\n10847 86022\n19293 33840\n32412 40169\n40247 54744\n20226 89581\n22725 26599\n37559 79338\n40529 89439\n69012 90844\n78065 88965\n58344 63942\n20834 52219\n1021 89746\n61584 82789\n6194 62887\n41781 94416\n17965 74369\n6207 58839\n70925 97741\n12627 97144\n12423 51632\n66785 66897\n2678 75422\n13436 72423\n43169 86393\n58974 70591\n3658 94782\n70847 87111\n67864 86363\n80045 89839\n65476 96857\n48756 53435\n2616 94770\n37772 90668\n4598 23958\n23743 80722\n44456 92788\n72269 92080\n57399 98963\n2650 39274\n74945 96706\n3044 49713\n38841 57937\n44867 54483\n50827 85914\n5396 32679\n29110 38544\n6195 39660\n28343 30449\n4493 79340\n19358 87246\n84733 98260\n79073 92384\n52654 87364\n5943 78942\n7786 18076\n74607 82687\n91580 93454\n19490 70727\n71499 92694\n12655 26694\n29211 69214\n38414 52170\n33841 36942\n56099 82949\n49595 71340\n15683 81688\n21443 26883\n25361 51780\n11952 28423\n11243 11942\n88984 90300\n84825 99527\n49923 79368\n1613 83269\n30871 45131\n17734 89036\n1013 81652\n43629 60868\n2146 74255\n29853 71754\n46624 56262\n22226 22260\n32167 50147\n13221 53854\n21168 95770\n39294 82639\n18885 42181\n26549 45489\n34855 45870\n28584 93457\n12032 22208\n20350 63160\n62870 72754\n59369 65725\n1455 27657\n38815 61764\n13938 24081\n22091 39383\n3382 60942\n72209 93479\n28107 78712\n76155 85027\n45030 55869\n30525 56461\n19310 70925\n51184 88058\n18485 96895\n62006 70736\n16926 37682\n16694 20347\n47027 66009\n32499 40607\n42439 82877\n7727 21719\n29705 51468\n31577 34744\n2344 27265\n47369 95195\n49663 97135\n40444 88643\n15767 35979\n41509 95402\n93808 99491\n20095 40667\n61156 96718\n5726 53684\n6942 15285\n9800 60975\n35841 58971\n37400 42206\n23463 92252\n27735 48630\n74852 97554\n61163 84802\n68396 83898\n80785 96375\n75594 86643\n14027 60449\n13752 65903\n37644 62941\n43935 61386\n30451 59991\n42585 85488\n46639 96111\n3220 15302\n21241 35096\n44034 81239\n40235 64056\n38853 46450\n8358 43531\n37269 83501\n15638 81321\n31893 41130\n44324 68493\n42462 98797\n36957 44976\n48428 88022\n2314 59038\n43543 97502\n39828 61472\n15406 25755\n4970 20115\n14100 94856\n24951 70329\n49395 82046\n4909 93401\n18538 78802\n53468 95865\n71801 95113\n28480 97823\n31559 98732\n13222 52537\n88638 97899\n38209 47463\n3150 57830\n19519 61375\n16381 19202\n17888 55907\n68922 85098\n9820 96950\n57863 79268\n1807 58372\n2179 64983\n57578 69748\n52416 72080\n31166 87377\n23980 93949\n42078 88788\n15152 68593\n40502 93260\n53396 76912\n26526 78721\n19797 62050\n47409 77071\n10261 96074\n35917 44982\n25969 26925\n73961 98273\n16433 42253\n64243 65064\n4635 27314\n14809 99475\n21307 69974\n45353 91211\n37547 59172\n12104 75107\n19156 31157\n17431 86280\n23681 70960\n3706 98393\n59573 71616\n13083 27044\n20113 44565\n55591 70324\n2325 62040\n1791 83733\n33984 73825\n25357 78098\n40147 63499\n42279 84046\n4783 73899\n33152 57011\n68467 69109\n27220 71089\n76089 87644\n20772 44022\n66004 76250\n35116 72274\n5556 47260\n15641 55939\n33762 92138\n15417 90980\n36932 95882\n63732 89567\n4757 40734\n33906 48101\n10096 69990\n27044 69313\n64779 73630\n87915 89950\n88493 95482\n37202 85106\n51860 85045\n32571 61926\n48797 50528\n2670 11659\n52574 81488\n23128 71694\n16681 58649\n48973 85633\n12624 64670\n6185 13119\n19604 26616\n25014 55552\n40757 84375\n68025 68373\n45270 71263\n18967 26543\n66996 79539\n13342 77219\n16886 27797\n46873 75261\n4520 14020\n53744 97318\n24750 94775\n73733 99451\n36205 87338\n65489 65762\n38335 93266\n9517 37870\n19117 76148\n2408 27019\n57988 81741\n67686 99728\n25330 29829\n61132 76368\n14282 83943\n19758 75127\n72022 97105\n59890 92838\n31692 43860\n37921 47567\n29862 42660\n81361 87704\n14956 77329\n20367 73099\n4512 69738\n51035 79626\n58377 72685\n52607 59169\n26737 74948\n36686 49250\n31282 39693\n30126 39315\n67150 73540\n9652 98836\n294 12175\n22374 28268\n41972 55252\n58186 72932\n7134 79984\n18557 54785\n81053 84802\n47674 95161\n30306 56759\n32203 72802\n63021 67843\n36973 74319\n27042 41800\n37252 83421\n1143 78445\n28450 49426\n9585 77005\n32939 87680\n16964 69276\n49642 93081\n50725 56040\n42278 48409\n53548 75319\n51101 75125\n4912 10141\n23896 41845\n33071 89687\n56614 64659\n8825 44984\n30900 94510\n27146 33287\n67649 96291\n64915 90397\n25289 29619\n6785 42658\n68734 82781\n26515 38868\n277 10702\n13014 16842\n8809 95753\n291 34081\n41638 79501\n50880 67084\n90247 97620\n38477 59733\n1277 48733\n31320 82775\n9584 96839\n2604 8148\n65703 79778\n1284 52394\n93527 97092\n32688 41174\n16376 80736\n6981 45561\n16716 92375\n48662 63133\n6727 49299\n83360 86047\n45008 55964\n95320 99187\n31160 65829\n4130 38362\n42513 79403\n45147 51163\n23824 48059\n10835 22416\n15204 18561\n76999 91383\n5584 12540\n38322 60391\n83645 98194\n79927 95230\n65814 74390\n34797 53970\n15673 54635\n9098 95394\n26695 64298\n11497 11679\n37194 59472\n69766 88651\n14298 41741\n11432 55654\n57069 67638\n8571 58919\n13565 46363\n770 21180\n58709 81331\n76197 98058\n8467 93812\n24061 38218\n21115 57055\n15482 75531\n46159 50663\n40446 76078\n18912 71312\n8101 86583\n21070 86848\n8001 99441\n33166 93815\n38598 92295\n60547 84567\n24124 65660\n91916 97707\n20486 22510\n61361 77270\n9699 48846\n13319 98932\n49788 61461\n2354 75334\n87926 96620\n88349 97502\n16624 95104\n7738 60829\n45723 85504\n72269 74222\n30507 75078\n26523 91683\n34133 97879\n34173 37502\n50981 93684\n47379 51221\n72192 90125\n26298 71624\n34699 65157\n5115 91941\n67968 81395\n56468 76997\n34475 72972\n74968 88338\n34687 37042\n50809 79639\n52743 93631\n4413 20636\n76217 76915\n8455 31569\n2969 18755\n36944 85328\n9892 31064\n34185 53355\n3700 8952\n19453 98419\n3847 44034\n10179 97182\n23750 67796\n34081 95227\n54167 68045\n20178 59095\n12066 85266\n82208 98623\n57146 95487\n67488 89491\n2178 84682\n26831 78106\n13746 23277\n43221 84093\n52085 83458\n49783 50722\n75679 96634\n20787 91141\n4963 9819\n4615 41965\n9974 25487\n5485 73676\n59134 65422\n2645 55552\n47023 67120\n10982 60283\n10556 32538\n93373 97494\n20315 99513\n87444 96737\n15115 19231\n56097 93688\n49179 58918\n11473 36989\n6431 91209\n9232 67095\n76507 89881\n8833 49712\n10020 81620\n26130 42687\n7793 34243\n2187 17165\n46029 77467\n12472 21649\n5913 84400\n79831 89129\n43426 78949\n16531 62930\n2176 11906\n1296 39832\n79616 87917\n24204 96803\n20328 60932\n14986 91149\n18912 84394\n58418 66776\n80612 88016\n21590 35037\n31418 72382\n24770 76313\n44870 82813\n206 62746\n24984 76237\n5189 61016\n77978 81299\n81421 81612\n88611 94960\n10647 11661\n7098 43860\n15691 61866\n29204 53355\n8647 86297\n1516 96855\n19873 61243\n18267 29216\n24184 91175\n19984 89930\n3710 16404\n83900 89293\n35740 69217\n1131 91044\n44535 82230\n47415 59647\n61976 65003\n32651 77175\n66369 70873\n15787 76052\n3702 56502\n28682 67542\n8174 62774\n71017 96071\n38857 82266\n32862 85028\n62254 92691\n20232 45055\n1276 90859\n42262 42387\n43168 44716\n11609 51200\n78601 92120\n47333 74104\n37364 74237\n25680 99415\n31953 94561\n31925 32756\n31773 85894\n56147 66064\n1265 95301\n44247 78748\n65585 82533\n16707 91473\n85690 96358\n17648 94997\n34762 69718\n8797 16164\n36923 90262\n51183 76223\n26862 92988\n13510 92733\n19764 78238\n10556 29701\n7076 89471\n92456 98282\n39080 65187\n87957 99315\n22984 83514\n45102 84930\n28667 68786\n62656 65216\n20430 21230\n4983 29868\n10043 16380\n1133 26886\n70130 93953\n10659 87155\n25015 71035\n46406 93480\n36350 63622\n7804 62282\n4208 35654\n19504 20029\n25811 78581\n52975 72914\n33822 68220\n68931 89636\n14791 26194\n32237 51926\n31157 49957\n55540 71531\n491 79136\n54285 80941\n7036 89154\n3193 94992\n91870 98502\n37029 84381\n2293 96772\n67804 79736\n67770 96723\n38792 90333\n20306 24399\n55682 60553\n27025 45570\n8786 45017\n76578 99827\n546 98777\n55213 84547\n38355 78072\n7673 67622\n18198 96934\n48054 52393\n14847 57917\n33713 52228\n59494 59835\n12827 87287\n62702 64626\n46459 66311\n19142 45765\n28534 74578\n88094 89157\n52628 92552\n48145 92489\n52509 63702\n24030 58868\n14308 38794\n21103 30087\n12450 63878\n84066 98779\n24665 67121\n4309 32127\n15963 52783\n13520 45804\n54851 94561\n18972 43698\n17959 92470\n25888 62667\n63632 79495\n35243 93010\n19120 97675\n18033 22802\n7984 26077\n19241 89822\n17114 52345\n2773 45508\n43182 86884\n38713 99129\n53028 55747\n70847 99306\n7217 93127\n9070 11224\n32911 94924\n16684 25271\n86169 97778\n7116 43028\n24451 37972\n49961 84128\n57183 67257\n6167 75546\n26058 48285\n7929 10340\n26511 76148\n11400 78974\n12112 94399\n48337 79428\n22206 88714\n17683 43925\n7753 23254\n1658 5864\n51881 57041\n46707 93820\n17572 45848\n39185 92931\n11819 77328\n32896 54149\n30887 86990\n4410 97301\n24749 69497\n22622 79367\n8126 74099\n11917 61493\n1516 37132\n67141 74786\n4298 10162\n33795 44008\n36694 57098\n91734 96026\n55670 65906\n45046 76439\n41393 45834\n17826 34992\n40255 65793\n19204 68114\n26954 47382\n74556 86374\n26724 95441\n33409 42784\n83059 92146\n248 21832\n67430 79047\n58479 98067\n62008 82599\n32492 95210\n57514 98888\n28096 63339\n4259 12874\n17950 89328\n74030 80964\n29439 88855\n25994 51687\n69388 73009\n7754 53682\n56697 69340\n63737 73293\n98323 99921\n7661 92776\n10324 59048\n19658 46483\n32363 46122\n9161 10504\n25293 86874\n20852 74002\n56360 92133\n36554 56104\n56164 57351\n11013 64940\n21998 26677\n50553 93685\n29746 78472\n3533 69381\n57018 96773\n44999 97380\n9552 19864\n11709 98083\n53099 86004\n82579 86643\n19666 35874\n11545 67375\n15653 87749\n56080 92843\n48172 87187\n25463 83608\n18738 45113\n48890 88865\n29631 61938\n30092 70729\n23631 88293\n43474 94114\n14870 54634\n43783 45438\n4869 80023\n4373 39072\n28901 39693\n18243 83027\n138 70521\n31148 97300\n21415 50577\n48783 57096\n34863 58950\n56913 69675\n45083 46550\n42857 67525\n75576 90775\n17544 49055\n3462 4845\n27939 29626\n12160 28559\n28469 70028\n22589 35644\n42311 70069\n1357 90424\n28970 78477\n12225 69676\n9620 10699\n59920 92711\n31175 57823\n18807 45012\n50623 85752\n39890 44580\n1459 78495\n44492 63581\n55830 72367\n450 51999\n18892 34727\n78406 92797\n85505 98167\n28236 60819\n62167 91545\n65719 76027\n23800 60534\n28564 90331\n92755 99714\n28844 99539\n56317 66770\n21634 50331\n42618 69502\n22825 67854\n71606 72585\n5272 54775\n89585 89850\n4143 36949\n57776 67802\n25838 80783\n41083 72947\n56289 79715\n44194 80913\n20645 22653\n53889 97134\n69191 90634\n20445 65599\n4343 71930\n27621 59900\n95147 99551\n29618 76303\n87304 91148\n4383 12483\n28882 37897\n69576 72505\n3738 99713\n1855 70502\n35730 48251\n57422 72606\n15443 36570\n19085 81153\n13513 32324\n36301 48045\n90591 98110\n35972 49844\n15992 98983\n9626 95228\n353 12817\n16831 27858\n66538 68042\n26887 82685\n12162 14251\n70815 73117\n77435 86260\n26326 43298\n5120 5158\n41144 91245\n56487 78457\n33864 98765\n54555 91873\n4415 63977\n14754 90069\n84389 86336\n78995 99546\n16566 21494\n83565 90207\n11761 82535\n36860 42790\n4014 94088\n77422 94204\n13715 75137\n34944 91861\n10527 87713\n55948 79323\n24274 89828\n48729 91537\n44468 96700\n73004 79283\n21725 27650\n3297 43286\n86994 94912\n17983 95547\n9622 69530\n69749 74506\n8994 74488\n8525 69422\n2331 95082\n56884 93560\n38276 98103\n31481 35340\n67761 87813\n27331 68680\n3988 29828\n34069 69685\n85669 98465\n31994 80397\n62466 78434\n15177 81108\n18248 40059\n4711 60417\n6709 43438\n44956 63376\n58787 94195\n16637 81584\n42743 71955\n73150 91968\n19303 58443\n32118 58926\n42907 99961\n15234 85593\n76467 93477\n68099 69178\n60804 94902\n58596 96541\n4711 90787\n20517 85454\n25926 49071\n29481 61885\n2995 18405\n77836 82923\n71108 87472\n11445 74580\n20160 36840\n74558 82005\n3593 3603\n20367 29360\n3779 11007\n1606 71265\n14840 55989\n9275 19463\n9784 69174\n17783 43481\n20602 31324\n83293 96844\n73525 96271\n69954 77254\n20981 36588\n88383 95237\n5454 64376\n75080 88996\n58933 71084\n11270 90048\n17973 87947\n9255 88668\n26604 52011\n47449 57186\n52665 69503\n662 60875\n16382 30113\n2409 61021\n36884 81221\n9179 47941\n4550 92765\n88188 97734\n21649 73520\n7209 38658\n11980 93363\n40273 85909\n31139 58668\n20826 33254\n31700 97083\n54886 64029\n1486 74866\n77725 92664\n23454 58198\n9743 47260\n42412 90948\n1137 14023\n27511 62975\n21866 54989\n41027 91997\n23010 72089\n42963 74409\n7188 74000\n16025 31337\n63178 79648\n1472 35998\n35205 54671\n1629 31853\n26885 38899\n45762 61481\n7423 55981\n63695 83945\n41046 54489\n67873 80883\n15044 56216\n54718 96422\n85276 99546\n16142 55433\n13534 69593\n34088 34905\n35874 49995\n2698 88679\n90232 99400\n38898 82581\n21058 65652\n33612 98836\n25320 81775\n46445 98628\n40376 94936\n39690 68503\n10665 82333\n52738 92609\n48713 55743\n28946 55448\n59271 78816\n17476 46420\n28784 81834\n22881 80287\n35268 45947\n61896 73299\n53525 82097\n38449 74611\n67669 87194\n42611 60386\n27381 61553\n24204 53100\n34314 40173\n34099 72264\n31699 55068\n8887 66611\n68723 99358\n69617 79621\n21517 67238\n16071 23831\n21819 88197\n28633 34789\n60094 92499\n4131 25550\n12798 70359\n36373 41557\n40605 75925\n19022 99799\n33464 35129\n29749 44370\n24140 80330\n78527 97245\n65270 88934\n12212 66408\n37502 99993\n28455 57749\n31404 68226\n34262 70567\n34081 83420\n20970 54016\n24205 84806\n11843 65956\n14895 95341\n9375 13422\n58782 88867\n8945 14889\n2249 95194\n47656 98177\n27724 39412\n72281 99830\n50796 55788\n20984 93033\n34618 38912\n66864 67537\n2888 38327\n71052 74766\n7337 24986\n14796 17921\n73291 93403\n31262 35069\n40653 43686\n46572 83716\n73257 86955\n43097 58510\n25631 33909\n4811 76456\n34888 91179\n41209 41726\n38689 84806\n29946 64417\n7911 15829\n33979 52895\n47050 65395\n14731 86435\n15842 88379\n17252 55569\n4621 68556\n50869 99450\n29545 76352\n18759 84668\n7529 71363\n12947 23089\n31442 70733\n4424 34598\n59806 97791\n23525 64269\n14808 61882\n40282 54736\n59504 83211\n32725 37289\n1605 75974\n78341 87653\n56290 59721\n50891 66157\n3604 68501\n388 14017\n48137 85206\n56596 92864\n68069 73408\n20114 63342\n44462 57755\n1002 89212\n43050 58482\n11654 76734\n1673 74106\n9870 99542\n63677 99660\n50884 73749\n54873 87583\n5485 40820\n13641 55261\n33459 90709\n7494 60624\n22960 79940\n9342 56096\n22854 78722\n885 23978\n38179 56402\n13136 62557\n28883 66851\n3983 39125\n11142 50377\n28445 90624\n63163 83623\n46787 71871\n7826 34198\n11722 78593\n2787 16989\n52960 99518\n38798 79589\n7872 54390\n24941 97505\n32768 34898\n2640 71934\n35331 86505\n77079 92469\n13987 73826\n11932 19809\n31775 40847\n32961 96064\n36162 63061\n9453 35895\n58660 64308\n6349 27947\n32763 92275\n167 12233\n989 17052\n24167 48706\n67475 91056\n14725 41526\n45780 65247\n36871 93674\n39042 70324\n34924 51783\n61993 76381\n22027 61610\n35468 43866\n40624 56178\n4852 47166\n5565 86723\n57710 69085\n69615 77318\n29558 60323\n386 53511\n8429 80048\n37267 73326\n40820 80765\n60219 85381\n85483 87379\n31669 87193\n36008 38045\n885 17178\n47554 86718\n34113 85229\n9294 80753\n20987 83342\n65094 93619\n84950 93391\n23802 81102\n23398 27608\n71890 87248\n64436 65873\n64900 80305\n64885 81496\n6581 79252\n17018 40769\n18103 28952\n79103 79801\n48453 98759\n54645 81805\n4647 16300\n39241 72618\n41048 62769\n6471 71911\n32473 72624\n48703 67324\n56333 94247\n764 64898\n4316 88696\n58765 63369\n25573 45020\n9436 76722\n4862 91967\n59973 70602\n91259 95560\n85067 93398\n54634 88719\n37068 49436\n76363 80724\n84541 98032\n83244 99586\n14821 63699\n1342 71340\n29901 50127\n74467 86749\n3787 42314\n5699 14093\n44733 69499\n9912 64004\n54530 87190\n6296 12071\n74571 74874\n19842 84289\n7143 91302\n9604 81416\n55742 80203\n1713 4493\n29040 36176\n70533 97170\n52704 95333\n39551 85453\n41245 73928\n868 23613\n90818 99348\n34407 56253\n70484 97790\n36908 56153\n8759 52564\n29320 64344\n90199 94827\n37552 91400\n33536 67099\n15542 31176\n17563 33698\n9566 33336\n9964 81339\n24786 38190\n12863 47421\n3673 32797\n19459 42148\n2039 41027\n89424 90654\n52528 64018\n22535 81860\n24799 50235\n39361 87974\n18305 53618\n65185 77472\n84907 88560\n31019 49269\n32861 36405\n16112 40096\n38441 76066\n14628 48607\n92946 93228\n14469 56982\n1537 37011\n23723 95604\n44062 48770\n1652 72193\n61760 94999\n10438 92102\n58765 89654\n54734 80751\n37004 84526\n36817 60078\n24240 72287\n53497 74062\n28107 68119\n27612 97084\n30525 42267\n35495 83140\n17299 67524\n46293 84814\n61293 65895\n85663 86835\n41736 53280\n19160 63105\n36988 75494\n30509 61186\n27148 71915\n51566 67918\n55223 91943\n55106 98914\n66188 92483\n2958 43117\n62656 91934\n13177 77673\n4116 66053\n63457 93844\n34924 74366\n56146 95168\n27845 80163\n50035 65364\n76456 90989\n77688 89230\n4887 86882\n36353 52093\n21539 60292\n45025 94759\n34170 74376\n29026 44180\n46432 77088\n15917 17030\n26921 36445\n53765 73939\n53368 79224\n39892 87321\n16325 82219\n47650 49188\n76256 94383\n47126 78445\n45700 84746\n24538 57388\n73414 95546\n40147 46054\n22892 71507\n70552 82023\n21785 73720\n33524 70539\n5991 42658\n68561 90195\n51112 52719\n43785 58956\n18828 75666\n65092 83215\n55962 72921\n22547 41598\n4375 45111\n13612 79996\n77233 77655\n34399 93995\n24391 32487\n83154 85848\n68842 86999\n35769 39563\n90288 94400\n5253 78692\n7944 66088\n14694 63069\n70856 74951\n2580 69745\n18035 77704\n16654 95962\n81249 84440\n41022 66261\n73596 85222\n37658 54727\n6834 43648\n4911 7506\n51686 58541\n5559 86970\n92339 95808\n18556 31252\n28369 61902\n62592 69028\n43457 83221\n8982 95293\n59806 62737\n50592 74779\n46743 71551\n54650 75469\n96496 96929\n35309 69703\n7913 53816\n30091 51506\n31337 46953\n19693 25142\n68994 97692\n45971 83235\n2127 29099\n30608 86863\n6164 17890\n33605 56164\n45680 64496\n23511 58538\n73163 82998\n37968 94836\n44732 73768\n24966 93624\n25661 96816\n4510 47964\n29205 64270\n64565 79739\n44272 56176\n57444 70286\n42384 78288\n60464 63310\n46854 54355\n61221 72692\n47337 77072\n14870 93479\n16656 45448\n21315 46885\n99140 99550\n67521 88772\n41499 53056\n376 99103\n52312 83996\n31245 47086\n25701 49314\n3055 30765\n22285 67418\n38204 75418\n26442 32399\n59183 97877\n29805 40965\n79646 82441\n30874 71263\n19407 33913\n5720 12758\n69257 78373\n54443 93119\n25220 48831\n17784 45838\n69805 75174\n7899 52981\n11888 77910\n43493 62867\n3089 62306\n9404 88519\n89135 91141\n5379 62971\n19135 35989\n76208 91923\n27677 30111\n78930 88501\n27043 54167\n27886 57671\n53943 88342\n47395 84626\n19122 27500\n50031 81694\n42305 71494\n7553 86644\n76724 94052\n77683 79660\n26700 98514\n22801 74129\n51387 79539\n7360 79193\n45230 86905\n28646 38192\n15734 56007\n5865 51701\n43761 91114\n40120 63563\n88007 99554\n44839 55507\n22241 78539\n1866 70580\n95186 95228\n107 26428\n21382 61414\n12432 51341\n30366 76458\n11972 37023\n35658 77364\n695 23200\n37024 72258\n61237 91614\n74994 91847\n3898 59074\n51610 71632\n9645 20945\n29792 52509\n31980 52846\n7443 22275\n1569 25583\n43238 93030\n59890 78116\n6145 9909\n10961 61722\n39862 60757\n35782 88936\n12662 14246\n25729 43568\n29975 36816\n10525 32216\n21042 97917\n39349 87030\n48846 49482\n14186 52997\n30316 41861\n2229 85766\n54125 61860\n16268 99787\n14331 63915\n6232 36481\n54461 71330\n27629 93560\n28863 48661\n1307 72896\n53397 90276\n80006 81979\n14892 59022\n10142 57395\n53223 86412\n39326 81012\n21285 30670\n11594 58066\n74773 99218\n89145 89519\n51608 62697\n13533 68353\n57404 93270\n442 52057\n49723 85225\n56626 75527\n2122 86721\n5628 77963\n75036 90070\n50899 68435\n33901 66671\n73301 96707\n34951 35306\n31025 85366\n34816 76835\n15336 69917\n87636 87824\n38259 47825\n31290 61279\n23794 30535\n7969 78286\n16653 67872\n16368 46271\n13630 75090\n70773 81301\n7362 61040\n68649 84325\n63853 77085\n73739 76936\n6530 16811\n50701 71992\n56343 66808\n33198 65287\n16547 56556\n84682 90984\n8833 74983\n60263 74516\n57669 59918\n60933 65716\n3820 61737\n65868 70360\n7583 96549\n19845 82700\n805 56768\n62520 81008\n33880 95551\n29579 43184\n5735 10927\n51460 63492\n48734 78824\n12515 53255\n15825 62596\n54998 71301\n4352 78332\n21925 70329\n2333 90122\n17633 57222\n54701 66949\n69036 76940\n6449 72372\n17339 51062\n11225 54952\n87805 95690\n21397 49245\n30314 57287\n42932 97151\n7522 12767\n26324 95476\n84779 93093\n30982 39867\n44209 96034\n46030 65943\n46293 77145\n36684 79450\n42416 82300\n59157 83910\n56241 61450\n36498 69809\n29982 78202\n54073 75842\n76214 98884\n24869 96560\n188 58146\n3415 70260\n13910 40333\n12674 27959\n52268 56868\n675 53625\n57469 96146\n15554 97279\n54726 89894\n28262 61379\n6823 51198\n23410 92536\n6866 93441\n29671 77797\n16984 29719\n13449 78605\n40205 93128\n29590 31489\n3182 20799\n19208 68679\n47404 89075\n16904 97634\n74825 84007\n43487 46722\n14580 31989\n25644 98344\n16971 18862\n55254 81157\n14531 26172\n97224 98728\n16921 45393\n2694 60518\n84970 94878\n7017 36356\n50860 93434\n81695 91696\n14202 42446\n38433 97387\n44428 85395\n52095 73388\n83198 95410\n73829 74474\n9748 10421\n60605 65723\n21553 36409\n24229 25891\n11676 31533\n42649 85356\n9459 47076\n76938 87897\n24054 64482\n27676 76511\n29452 54988\n47098 68621\n78760 90176\n8117 43429\n12727 65383\n58623 70161\n5595 32515\n3925 9049\n57960 78442\n40570 59652\n23261 84721\n76872 91585\n9505 78361\n30430 42233\n12400 74075\n11838 50926\n74165 92841\n57247 89252\n41547 44787\n59273 69019\n66032 95774\n7319 23737\n22776 75230\n30715 31834\n25883 63464\n43111 92170\n48456 83293\n16408 41327\n15182 90960\n20970 71419\n28346 84801\n10656 14125\n74089 92768\n36054 55802\n15931 87387\n38350 54064\n14227 51525\n25713 99614\n4043 16265\n62447 72401\n18367 88903\n10520 96391\n27295 27637\n3334 47881\n11728 57042\n32302 52926\n86949 87951\n31985 53064\n35521 60843\n41893 47439\n23392 87006\n11649 38012\n28657 55835\n13386 46388\n62431 95173\n14277 80501\n35210 59303\n8460 98229\n9207 96702\n48426 63022\n13811 76703\n40417 81647\n14487 91469\n25515 99340\n41825 94028\n28867 66770\n6411 11306\n18324 31817\n30494 52870\n49237 78116\n66205 73300\n86348 94919\n9188 61902\n42100 72811\n32191 45890\n28614 68434\n55281 73499\n30537 55050\n36994 70531\n49738 58484\n37534 69616\n14018 41099\n91394 98891\n16324 47441\n41056 82644\n11827 89928\n57483 75867\n21018 85867\n63982 84194\n49457 95204\n12527 77579\n77644 81775\n66409 96458\n34725 69193\n14875 25358\n98216 98402\n24274 95407\n3847 49789\n1143 73094\n153 43899\n54227 60642\n8248 87969\n76206 80423\n383 34888\n11602 89623\n13268 32173\n60025 61010\n50781 63890\n20009 66216\n37159 61265\n6559 91518\n58 22299\n21923 73714\n34489 82846\n33729 34561\n34167 62161\n35862 64577\n79401 83879\n26205 44884\n23331 75245\n26364 34129\n50875 90963\n59474 75466\n18917 55170\n61337 77304\n4089 69804\n1485 52815\n1397 93085\n20544 79951\n38147 51655\n68692 98944\n68658 79422\n13787 28078\n43498 51331\n80674 98108\n51289 76319\n60812 94821\n33163 35315\n15493 87062\n21974 94859\n79874 94158\n2485 76767\n24059 38966\n69206 87202\n63827 71732\n372 60642\n35137 46069\n54246 69266\n65554 96407\n36816 74931\n1217 13528\n13849 59414\n21706 93711\n25304 60928\n1777 55512\n8522 60985\n4395 73745\n56678 74513\n20813 60230\n43146 85167\n53589 96307\n31151 77934\n28345 86853\n42387 56932\n70788 86039\n52647 82799\n33352 44343\n3307 81730\n48722 84132\n35689 64005\n3375 41444\n69085 85587\n78089 98633\n23662 98807\n48319 73635\n34408 73979\n1725 91735\n15419 88171\n26451 36224\n42878 74473\n33651 58423\n32364 32545\n64494 72325\n4540 70905\n83122 94415\n73304 80625\n45332 70844\n28362 66335\n74957 88859\n8582 72709\n23849 99912\n59511 82738\n23638 79103\n30305 57757\n48061 72759\n36555 82092\n76134 79880\n7436 78655\n46051 59545\n18474 70526\n30589 91304\n24762 82604\n39250 62986\n12166 36240\n23622 70027\n40440 66454\n13499 29220\n51296 75592\n11818 81436\n60521 94818\n218 94869\n35132 71532\n10517 58716\n24336 46881\n30931 48042\n12979 91700\n63483 75014\n9777 40176\n39520 74752\n24840 32963\n27570 32384\n42889 62300\n33636 47394\n26269 83548\n18861 74381\n23765 65882\n60542 61715\n42432 76829\n24114 83067\n4711 28900\n7142 61913\n8380 91498\n14942 47022\n78196 90903\n67059 81913\n55103 62080\n29142 49682\n5088 97409\n72984 78992\n31708 45548\n2987 58196\n4229 26815\n6753 57166\n19904 36567\n5471 57240\n17049 17174\n29504 86437\n70526 93158\n17020 87933\n64828 69562\n59165 98139\n12660 66591\n8209 61855\n25851 63852\n4456 95266\n46002 49983\n17524 97448\n11710 27077\n2390 45883\n41865 78668\n36134 49725\n58099 85285\n74924 78302\n8652 82816\n27437 28633\n4551 88327\n58293 79742\n6273 87586\n24428 32417\n26149 88404\n9889 20168\n65830 66715\n55084 92880\n80767 95281\n48162 49947\n33496 68473\n64618 71857\n5974 52059\n33223 35465\n66870 85686\n49422 61611\n20572 24773\n18436 46293\n14633 57745\n54406 67011\n27580 73748\n20221 22449\n57105 78056\n70494 91088\n13035 40288\n40428 68019\n47878 66961\n25650 89991\n37098 48342\n38302 47596\n16291 41547\n54779 63840\n46939 47074\n35991 79988\n36628 64314\n62083 73771\n32507 52981\n26216 39004\n16619 69874\n11557 34725\n31958 77381\n12355 43998\n21206 38091\n44678 79727\n19536 57041\n41878 71000\n3626 43839\n20137 76701\n34487 89807\n45281 89407\n6442 28869\n22611 38761\n2720 42759\n67208 72400\n32120 90994\n4398 55496\n55864 67928\n8841 70898\n26330 30380\n15240 54620\n2744 28801\n15904 74852\n60392 64641\n15921 92474\n9842 30668\n8991 57578\n39290 46324\n19175 43123\n26630 56233\n20833 65776\n3564 97811\n24923 45538\n14233 23404\n9460 88590\n94859 98169\n9021 50939\n83073 98080\n11008 36444\n49086 77032\n16855 97006\n58529 67812\n8522 56284\n5923 39398\n1557 78115\n17614 41124\n6100 99888\n50537 52191\n260 31357\n71359 91450\n29306 83326\n5394 27783\n42532 90678\n23966 74826\n29423 78017\n7574 13263\n14495 87303\n41388 64900\n44670 83477\n19889 80708\n8987 31980\n27715 40831\n12757 20951\n2740 51706\n42331 83099\n14229 82093\n56860 78034\n11153 53789\n83983 89052\n45369 94856\n20927 22826\n53538 83685\n14587 20551\n54523 90020\n4294 43340\n37459 88023\n13067 32652\n23820 97368\n10019 32514\n23800 38955\n64474 97559\n52575 58185\n22405 96520\n19458 20391\n41574 49753\n2831 58630\n91598 93052\n23779 79285\n58827 71742\n88613 96716\n28656 93686\n5942 85084\n10643 96649\n25352 76060\n7656 52721\n2344 38176\n25247 32562\n32449 94628\n56365 69509\n3825 13873\n215 60215\n76717 90833\n73500 84702\n47139 98971\n26404 51964\n31308 34158\n49168 84280\n34545 83249\n23734 82307\n10509 94407\n28458 95519\n67653 85771\n37647 79790\n51724 74758\n37324 81341\n81147 95208\n14296 43073\n545 47421\n38440 52563\n76937 88552\n28052 43580\n30452 71861\n48520 88595\n38148 55182\n61011 96343\n26460 81235\n61018 63727\n74276 92597\n5701 51047\n30852 63466\n43461 96989\n66103 89487\n40757 92123\n78400 88036\n25043 87521\n65895 99071\n4071 69268\n55537 75172\n34580 79526\n40922 76267\n46512 55933\n35788 72074\n20126 36262\n54443 56089\n78765 78834\n12948 90004\n7389 88848\n31043 70266\n72520 91989\n48191 94485\n65461 69201\n44762 64262\n77223 87978\n50230 50270\n66016 77173\n55952 75766\n12798 54347\n53667 59065\n11284 52289\n6105 28408\n8371 69016\n23175 53152\n35464 90983\n11086 52552\n6543 24992\n21799 45165\n29589 68155\n29741 50372\n22914 82548\n34077 37775\n86804 91219\n51623 59010\n95110 95770\n35263 52567\n6 77719\n27928 72026\n8209 57718\n68714 86178\n73236 94337\n24599 96286\n38473 45051\n23777 30782\n12559 66879\n18415 44561\n36293 60517\n71400 76555\n28098 48276\n8558 89721\n30746 77229\n25530 77702\n53246 62624\n38247 60274\n8010 88115\n13539 71453\n74546 99329\n60956 78523\n12910 53334\n34117 45958\n45885 65711\n65147 73059\n30589 96961\n18038 38314\n45551 77386\n27173 33669\n80835 95198\n14672 50166\n22064 76273\n76681 76831\n24083 82355\n63975 84326\n28849 54120\n1808 96180\n5778 96028\n62748 83392\n21127 49510\n50502 81294\n18194 89649\n4434 50002\n10569 39267\n55255 92909\n10106 30538\n62714 85683\n62734 89815\n12095 27927\n53341 99898\n2254 10430\n17690 43681\n26756 62997\n25159 29414\n71582 94859\n39803 41611\n26802 75453\n34833 54258\n31060 98929\n78282 87827\n10673 27776\n36649 96427\n44155 78416\n75718 81327\n59354 85216\n4573 23197\n22832 55963\n39472 53888\n41244 57245\n52533 89891\n12776 81923\n25837 78621\n19058 63515\n10722 76807\n1471 39806\n24202 70630\n17424 81664\n17460 60822\n14075 25166\n42444 57767\n24307 56677\n32209 34154\n76251 96548\n62878 91210\n9084 96401\n6897 26781\n74319 86334\n15524 96077\n16119 90750\n31045 33369\n47959 74929\n30766 44373\n52367 71632\n11605 98584\n20810 34149\n69288 73790\n1371 7295\n52995 60792\n68462 89777\n62138 74532\n14671 98356\n45223 60574\n8186 70568\n47678 93124\n28127 37352\n66395 96608\n7213 32086\n35797 66199\n28565 44101\n64037 96338\n31016 83324\n9354 32329\n50511 61074\n65286 80057\n66665 80291\n64023 97991\n28331 29057\n71851 75338\n94500 96613\n68882 88159\n20120 77331\n30019 33938\n14538 37858\n13589 13625\n5140 6096\n33797 79455\n4025 23877\n45480 71712\n61209 67369\n4381 23761\n24500 53994\n62286 89436\n1316 75224\n12061 31964\n23740 56449\n66144 81217\n41183 82882\n84396 90929\n10452 17123\n5840 53748\n83335 93867\n18509 36847\n59233 88033\n31886 61084\n42219 48632\n5298 79477\n19239 57360\n1874 9480\n19917 83045\n5757 49511\n69176 94956\n10135 40258\n6882 26264\n34173 80122\n2324 93315\n18586 57658\n2344 65099\n24019 80903\n6389 20971\n3304 45827\n63502 98034\n19457 71284\n40060 42227\n21968 82682\n43039 68955\n4307 84664\n20607 28604\n74410 95353\n59791 75794\n38010 51751\n9050 24634\n30780 88594\n6581 68933\n28042 94365\n11472 29176\n93279 96806\n63770 95492\n11096 71430\n22707 65937\n43327 50136\n4006 70817\n38576 63781\n3329 57382\n29914 97214\n64989 66153\n44024 93549\n23590 30695\n23247 70201\n3816 46613\n29717 42530\n11818 98582\n67856 89335\n36182 58296\n19283 64989\n49886 76530\n38882 87191\n25282 55602\n6413 50581\n68248 87139\n999 28288\n54853 77142\n53673 96850\n49792 68735\n26707 39978\n57810 91511\n95879 97385\n52033 84578\n30 293\n15386 92102\n6017 42607\n45462 65694\n51549 74974\n11023 58148\n62385 82949\n66121 80303\n58259 96811\n55386 82358\n31977 40323\n55712 98030\n31610 35250\n41860 77510\n20842 62456\n32905 39156\n29852 56711\n10413 77050\n16403 74853\n68512 91837\n45236 96530\n13879 42768\n23661 49090\n15475 54862\n51497 89033\n37116 90261\n70933 72609\n24793 49320\n32480 71073\n6061 49364\n4639 11266\n51533 55660\n64538 88087\n12790 28789\n26308 93248\n3835 36434\n11779 43250\n46226 65590\n49595 62073\n57607 86187\n53006 84505\n42319 70926\n55657 68068\n636 76582\n53394 53853\n30902 59919\n77123 94934\n24245 44394\n60547 67106\n38264 55035\n2216 34639\n19380 89797\n23111 42919\n24634 64521\n36055 94653\n10567 20269\n68007 94706\n17349 96980\n58352 67267\n4200 50010\n52657 65257\n56067 94159\n42 12338\n8474 33853\n50063 76233\n10134 80833\n33871 85898\n69658 83687\n67570 82940\n4211 49673\n7510 83725\n72050 75350\n20329 68926\n62408 93154\n23683 86506\n5616 51984\n38403 69348\n18524 74516\n42226 86543\n6104 27559\n37346 74300\n17977 22879\n52642 82984\n33688 71454\n57072 86652\n5233 50051\n9040 84852\n12186 97477\n77636 79357\n80517 99619\n21051 57092\n77574 96838\n18432 94436\n23808 70382\n33766 53231\n10341 68577\n1173 65150\n67760 70437\n18491 67770\n10087 43912\n88302 89105\n6410 44605\n73696 87154\n53273 89380\n26440 43764\n34215 60546\n5758 15619\n64760 67465\n16077 40486\n3444 10921\n15611 77472\n30373 65370\n20813 52404\n26882 78907\n49702 94111\n12785 80778\n55888 78260\n39301 44517\n48075 72507\n17055 83113\n1852 63054\n11573 77723\n16421 82356\n32188 68630\n46846 70123\n7472 98698\n44627 85792\n72340 84841\n32418 98684\n68469 70121\n88305 98724\n32748 52010\n62599 87233\n3501 92181\n2780 12655\n80437 81604\n77951 96810\n78288 91516\n40890 92715\n16558 42631\n67880 95642\n5632 14282\n29359 83735\n24549 50034\n8996 91792\n49924 56472\n12291 75877\n16301 75066\n1411 31261\n5638 24787\n26735 81959\n83763 85965\n38741 60739\n86909 88619\n22132 58716\n8101 37843\n26228 64638\n56988 85874\n62158 87133\n16052 89127\n62992 85928\n2649 26742\n39062 76477\n20466 82092\n35090 87994\n85278 88956\n63386 73578\n40560 49341\n51705 60996\n65595 71978\n55398 64530\n38550 46656\n32563 66626\n43854 77578\n31764 36234\n9401 82150\n1386 98429\n25251 88913\n2680 44859\n45570 56343\n6644 98689\n19089 26389\n40043 62447\n79822 81400\n31102 92904\n44547 69976\n34583 55445\n49221 79974\n64641 72929\n74709 98440\n26712 98067\n29806 63016\n40876 75281\n11383 92763\n3984 61630\n12539 60444\n1475 67134\n26993 85216\n21442 41542\n32265 37026\n30815 85734\n80130 98040\n8600 98335\n25967 69467\n35244 36720\n7887 80666\n83223 91092\n88628 93945\n27620 28624\n68008 90671\n43269 75942\n9442 59267\n9972 16228\n6227 94689\n25176 46173\n4771 15987\n17547 74756\n6779 74087\n22090 44371\n2477 6068\n57529 60748\n7493 51286\n82309 88429\n11533 94370\n226 39781\n37053 90482\n73949 82989\n18366 62254\n33852 47084\n25003 95108\n7848 18288\n52969 57699\n825 70630\n2826 23426\n57164 77745\n50268 62623\n22544 35255\n9712 89853\n3 39481\n21745 80255\n16428 73298\n33514 88307\n34582 58992\n82087 96870\n29278 85352\n2167 58598\n3199 14563\n20445 24603\n33595 84974\n10342 47803\n46511 87006\n45049 88785\n21805 49060\n28487 59447\n55529 76098\n26842 46725\n9519 17237\n1711 54676\n23296 97277\n3234 99681\n51307 57440\n51670 59396\n10124 91806\n18664 27618\n18951 91267\n39762 88809\n13945 86259\n79751 90322\n73736 88750\n55968 70883\n1088 88519\n42315 79189\n11560 54508\n21334 21430\n17838 40852\n13721 65200\n55748 92717\n30091 52817\n74222 75301\n71362 76003\n10424 60629\n19339 34136\n15831 89757\n278 15419\n60702 63005\n8032 71830\n63607 73722\n8152 83280\n60850 66594\n60492 99566\n34262 61027\n32924 97014\n44593 87582\n47913 92130\n18195 23317\n20469 60515\n8321 95318\n39015 59163\n35593 40316\n3247 92697\n53328 57040\n18860 36392\n28972 78809\n47152 50354\n41428 45545\n3273 66573\n60969 86214\n38539 66090\n74168 99472\n56080 78459\n25370 73068\n24903 92473\n51932 99523\n51856 85143\n14826 47696\n29536 69485\n28250 84198\n40162 56125\n13388 86554\n16260 95840\n23771 96451\n19841 82629\n48926 99466\n29684 67707\n83258 93387\n40428 99375\n55988 87648\n20476 96158\n27299 98401\n13405 92321\n37591 74998\n15764 84292\n5278 83309\n7949 14781\n38098 57342\n80010 98128\n2734 17114\n30374 36611\n60044 96148\n10045 80098\n83175 93527\n18214 68560\n18577 19547\n20357 83390\n12329 64838\n51275 96417\n1929 28449\n78 21245\n37311 50185\n73233 75252\n54690 75139\n10835 81327\n24999 91009\n24954 79718\n56575 77670\n12922 90327\n6450 86991\n50245 59188\n11304 52696\n25569 76670\n8793 16371\n51861 78971\n5557 63896\n28867 97205\n13588 95423\n29491 72018\n13836 87139\n57560 71200\n47770 54526\n39874 80367\n48034 77964\n60419 97557\n18949 74083\n67171 94161\n22776 27328\n8211 81114\n2818 33139\n29721 95069\n77976 86435\n11155 59575\n42205 58044\n32337 51614\n35695 71860\n10395 55096\n20685 58459\n6157 77433\n30663 83749\n27086 61249\n7248 35921\n9625 88275\n29408 68420\n8083 74444\n16760 70691\n5139 45891\n40612 76371\n59546 65698\n6496 36167\n69572 91735\n48395 63839\n60229 71861\n15379 93281\n77506 83050\n61407 86146\n4565 90699\n3974 53062\n12815 59389\n27962 31831\n25725 48276\n51143 69590\n26732 41114\n34943 81722\n95346 98050\n9609 51554\n30624 64010\n64524 82427\n14864 91076\n63412 66009\n3029 39227\n5199 82671\n30329 38516\n46966 77591\n1745 94962\n15897 63247\n80372 80815\n69764 92873\n71667 80798\n31004 33018\n29088 65366\n31044 51228\n62642 73846\n15196 23574\n79058 97423\n18164 38508\n625 76306\n75210 82992\n14358 82798\n89484 94260\n336 6606\n33552 49803\n12828 35895\n9376 28586\n43766 54475\n5475 11351\n16454 60955\n27444 81395\n62922 63188\n27201 65108\n43493 70269\n19939 26410\n11843 98735\n2365 94198\n794 26169\n46724 96130\n39041 43847\n46879 51063\n14985 55336\n7050 67747\n31056 58547\n2309 17887\n18005 21531\n355 97680\n59067 77910\n23995 67936\n49416 85839\n19947 76508\n42796 97702\n22221 41692\n51114 80082\n47641 77285\n38766 93046\n80212 81571\n17314 52215\n36158 39296\n23167 85208\n22297 27399\n30246 57994\n19304 89281\n81660 91015\n11787 15355\n76181 98740\n49331 97440\n3209 88035\n131 55454\n39893 61804\n67898 92045\n81077 82837\n13170 56500\n18810 72026\n7283 85686\n5190 53995\n7419 49486\n17529 48169\n2040 94808\n40635 55250\n61616 71290\n31072 51990\n26306 96092\n34948 52244\n31389 68121\n9898 30945\n10763 77626\n27998 33632\n40009 54733\n17620 90208\n51008 73740\n28912 32072\n51833 76675\n16016 99300\n18903 38657\n34849 70247\n12962 78700\n35997 47077\n44426 51051\n18777 89130\n50731 52366\n81386 92549\n497 86515\n25754 83604\n6534 31498\n689 83350\n82854 85588\n67361 72973\n40398 73646\n9996 92901\n613 74365\n73354 79773\n45018 73419\n1013 94077\n17114 30783\n69767 95290\n10419 35919\n14284 38825\n12936 96294\n89887 94217\n18567 63632\n13653 81655\n62142 94561\n16109 30235\n810 69122\n45248 96938\n741 47156\n8322 69325\n62907 82743\n9813 71942\n65067 77773\n6514 41008\n18380 91875\n6157 17337\n84010 97107\n13638 68087\n70423 87683\n54702 93975\n21005 49501\n4609 75318\n60085 90926\n70580 93098\n5608 91408\n12881 38386\n50471 89207\n43220 89519\n31747 73736\n2611 4123\n48487 83500\n57894 70304\n47235 63806\n18909 24070\n36042 41857\n40600 83316\n32672 51263\n26456 64057\n19946 90842\n6580 44383\n30896 72864\n22468 33718\n37358 59399\n6550 84034\n16119 25052\n7045 81977\n19221 44826\n8435 88677\n54009 77423\n28554 34475\n23893 45316\n32770 48829\n5228 33001\n1169 46563\n22386 27526\n25588 30581\n6985 99815\n74404 93927\n10454 79761\n24962 77901\n13109 49599\n4810 36297\n39494 64310\n39902 53396\n66920 89831\n35801 51946\n51819 70892\n42380 79075\n2558 88238\n33240 80734\n1985 4676\n26210 42766\n23017 56628\n38494 43804\n14469 52852\n69508 91456\n46 3597\n16831 57813\n34097 71437\n55337 62720\n6841 42048\n61759 91067\n26436 32561\n2754 70435\n47982 58341\n27481 94052\n16810 24034\n13433 57306\n9478 18006\n1179 98010\n25071 85459\n19967 23718\n34443 42584\n45415 66630\n44710 78794\n442 35897\n68554 73976\n41153 65290\n46383 90264\n60810 73466\n18373 94071\n47444 54755\n10279 34016\n10161 70093\n74955 77051\n24490 84398\n33767 81081\n33455 36116\n32196 68999\n39290 75645\n19163 81452\n23126 29729\n46151 96318\n56774 69229\n61595 84311\n44850 94150\n11884 18221\n49028 64458\n29363 71482\n17950 47011\n13559 82992\n8777 45326\n46106 86786\n35271 97021\n11944 46048\n15724 61273\n49906 69098\n63120 94926\n34776 60003\n4119 16358\n8974 39159\n10668 35808\n4501 31118\n34701 65241\n38389 79948\n56604 97582\n54291 78121\n20484 81111\n7 97588\n80765 99882\n7761 20942\n35317 74310\n10105 99664\n22581 26523\n13284 79029\n46956 47259\n75139 99854\n7915 80905\n57662 68600\n6489 27196\n61841 89698\n2399 55000\n63935 89707\n43413 70226\n1520 28230\n20197 33027\n368 23462\n59489 71230\n14265 98110\n34553 90798\n16745 45621\n20528 79055\n30404 89001\n1355 60794\n26703 61716\n2579 87446\n50811 77310\n19945 93594\n35913 97350\n18860 92839\n9357 14565\n43703 46698\n40658 48879\n30654 81519\n23570 56073\n63448 87794\n48873 72291\n46691 75185\n35331 51250\n67633 69549\n21102 59844\n77057 82881\n42219 44311\n53475 84423\n60813 85762\n8561 31708\n52060 88912\n25442 87971\n50153 55863\n44940 74320\n4227 60917\n37260 49947\n32732 94667\n31194 35222\n23545 36024\n32572 78248\n1396 20801\n30571 82172\n26045 58592\n16188 96698\n40686 83151\n49603 72747\n36989 75534\n22040 59229\n31381 85370\n10678 16429\n21653 66502\n33576 57944\n23988 49474\n17893 49459\n24806 64222\n28803 57407\n40237 77340\n18228 46941\n49522 64603\n9618 89696\n16236 30198\n11825 15720\n70653 80186\n5142 88718\n20019 37136\n7138 84106\n27251 69070\n9737 69706\n34161 62924\n9209 26232\n13712 39289\n29770 31061\n2973 15407\n44391 70025\n45676 49409\n69521 92372\n28927 67183\n28087 56528\n17126 94842\n14472 70596\n49390 91479\n29963 54909\n60429 75473\n48651 86886\n94275 95333\n77038 92609\n17044 26140\n53269 64184\n26113 74727\n17468 51841\n30097 82869\n12882 61131\n23695 76468\n61958 80315\n6520 67825\n45583 96466\n36295 66792\n51125 53856\n45537 81977\n32046 49817\n18876 46852\n20922 30551\n23743 36029\n15711 31686\n61481 97246\n1637 27951\n73830 91522\n4409 40672\n68850 92661\n56602 86879\n19938 50787\n6035 49980\n42957 78903\n10955 64989\n8242 65750\n20958 96043\n3397 41168\n13203 23245\n13283 75399\n21470 55743\n48504 64189\n20931 24709\n7739 56187\n53513 97258\n28018 39341\n21647 66700\n52309 83796\n25499 94351\n31329 89346\n34714 92157\n56783 89995\n69094 69244\n51063 96938\n57479 78488\n7867 12255\n70312 92843\n72348 98176\n64191 89214\n56207 65279\n39522 84235\n34761 70318\n79151 92395\n63648 94675\n943 8775\n74605 92625\n5349 7737\n30300 95276\n71539 91755\n91577 93195\n13998 70403\n31280 51245\n45596 92035\n27775 58375\n67821 79772\n44399 62613\n29952 78517\n26393 35273\n37580 38990\n4933 75962\n47960 50278\n30314 99854\n29095 62719\n2469 62973\n36090 84561\n26374 83655\n28849 95977\n31770 92989\n20234 93367\n71 56732\n19114 51000\n16882 70815\n42398 64293\n24429 47605\n8718 57521\n1469 47753\n5361 9849\n11482 66077\n47050 74950\n9489 84316\n14069 45918\n25283 28403\n31263 48675\n89611 91690\n15245 49256\n21558 53396\n43173 64458\n38574 57614\n23207 84696\n9226 64082\n14790 19656\n95616 99844\n16205 41543\n9690 90132\n12452 54352\n6935 54397\n28067 39946\n55152 98651\n25233 98735\n15827 77274\n10230 18150\n36503 85064\n51674 81840\n3334 93271\n43566 61370\n32268 70644\n32092 82612\n21247 40123\n60925 95611\n93355 97532\n10444 38511\n17805 60170\n32667 40130\n71419 82557\n9462 16103\n747 78697\n32568 45034\n7252 55809\n12818 42879\n14490 87188\n43316 44694\n15418 78398\n36384 56064\n36351 45467\n65903 72565\n63255 74788\n62786 84856\n18762 36122\n82888 84546\n21064 89695\n28794 40964\n10993 35122\n80698 91021\n31016 41786\n55103 78466\n54022 60224\n77644 85658\n32149 43802\n31204 35089\n28075 42096\n60697 96739\n24326 26857\n32047 62041\n52589 65254\n26773 85025\n35682 80433\n8384 73277\n4435 72466\n6923 34241\n35912 49883\n23663 32029\n26839 75436\n16973 98192\n14531 67480\n89241 91304\n1459 35336\n9341 20726\n48035 99081\n18565 26329\n44710 49390\n41380 61150\n14513 54466\n4614 33384\n71600 85455\n4447 69299\n68297 69769\n32357 96625\n45011 72295\n48852 53272\n34863 85986\n45995 63113\n54841 80092\n55256 55522\n9134 81955\n11906 55492\n2594 77998\n6901 39304\n55644 57856\n54260 99537\n20756 48473\n47755 91351\n65314 89471\n7604 76825\n17978 40934\n45394 47717\n59941 98410\n69966 89394\n95821 96531\n4881 45465\n11657 90027\n31625 87528\n52157 94276\n52210 80986\n48086 97561\n52989 60179\n11254 89862\n9565 67308\n23908 76429\n24623 37286\n2217 29055\n14181 42171\n10017 40824\n56486 74072\n82888 99338\n2816 58122\n11182 12336\n18266 44898\n38021 74933\n13709 92227\n65673 69495\n31959 54614\n4661 14271\n58576 81583\n44949 71422\n41150 54549\n15442 77403\n41510 56400\n7022 14123\n4569 97854\n24508 73623\n43140 89686\n1037 79420\n2626 22069\n62545 77084\n79865 95922\n7358 79381\n9651 65573\n4795 53789\n48998 54948\n14490 47178\n76702 97780\n25270 41506\n2994 70584\n8871 83340\n10425 44954\n78084 79460\n14570 37799\n31640 43390\n78023 94068\n7023 25090\n67226 97580\n66967 73757\n2838 31735\n95566 98324\n35617 51305\n12452 42396\n14792 87584\n16006 63218\n57807 81086\n32431 84536\n15464 60444\n1367 9896\n32924 59090\n39918 69474\n9077 33723\n23275 52500\n27157 96015\n15670 49897\n34369 41331\n14268 47636\n31674 76076\n25646 95044\n21851 68853\n17073 88762\n9746 43178\n1527 31430\n78947 83857\n35567 90555\n36631 84990\n51169 52817\n6090 67352\n17165 44486\n33202 50187\n14182 55171\n28787 39043\n35689 44748\n27717 89797\n36399 72942\n9092 80764\n38028 67051\n29709 88753\n15691 48220\n36645 52876\n35977 87159\n9605 92009\n43025 75506\n14935 75225\n64532 83695\n2011 26393\n24979 47849\n20468 97984\n14270 32593\n9473 64536\n28775 66830\n8087 29239\n28492 91518\n20552 39976\n20553 54766\n3268 21341\n37143 82831\n36385 97613\n33841 39620\n4202 45289\n96 17400\n35440 59195\n2007 82457\n48413 71834\n14804 71018\n52522 69636\n22982 48939\n42803 58141\n46086 49291\n44667 77591\n34874 71606\n1407 15416\n85783 95410\n24387 97844\n25198 75837\n72172 98830\n41392 93448\n11056 41488\n71085 86831\n14050 85897\n1516 79849\n30907 38068\n19184 53674\n49355 74229\n38206 69873\n60667 92028\n21849 70009\n48760 87550\n10711 28476\n22312 52598\n88804 94037\n22626 41063\n4073 20653\n20437 52007\n10036 94210\n19847 90375\n28260 58533\n67922 79198\n29860 93897\n44433 94935\n24838 32872\n67520 69091\n4894 94266\n22395 66077\n5617 45487\n22420 23176\n66207 90263\n46036 49717\n70763 73985\n54899 70660\n34198 40220\n45699 72361\n21704 43092\n49718 71444\n36660 91191\n60635 93091\n79215 98872\n26065 81569\n31561 46303\n18127 36065\n7651 80891\n20329 69694\n16378 80492\n37748 77285\n15606 34920\n14965 27237\n28115 72702\n85526 96099\n1110 15705\n49254 74098\n78602 89615\n60305 81549\n5887 86450\n21521 37378\n5656 53835\n1667 42779\n65932 77426\n5872 69259\n28831 43028\n19619 89047\n35335 43301\n53138 62023\n18723 86756\n44626 86346\n25736 83976\n16128 25038\n839 16673\n57918 89050\n3219 47317\n39350 90284\n32405 95140\n29998 92481\n1133 1758\n614 70897\n23822 55015\n3296 89941\n38566 51189\n40998 88063\n27218 68631\n23007 74906\n47658 71405\n54679 94406\n30736 61725\n17097 28031\n47431 50801\n2701 54407\n31035 64155\n52614 59799\n42345 45129\n45710 53156\n20224 22477\n68074 98894\n22309 26413\n24500 48016\n63323 83413\n12154 90548\n53972 96225\n24918 38211\n24942 25472\n37027 80627\n19825 45489\n61414 82691\n26238 53715\n56456 67431\n20511 61723\n42445 78316\n13880 79881\n42257 93848\n609 35581\n8828 18389\n39996 76685\n8691 58379\n50024 58537\n4952 47710\n70233 83919\n74587 95131\n14358 67624\n48886 58817\n2411 44047\n46011 67249\n15876 35837\n17331 28784\n99 90983\n72331 95124\n54893 79719\n1542 23617\n735 73572\n1589 30366\n9495 16907\n67815 71638\n46142 85980\n47712 47980\n19720 46350\n48809 75926\n49006 80900\n9775 20223\n78272 87885\n82564 95733\n35283 61672\n38527 58920\n63638 89165\n17486 74559\n43455 61325\n41036 84011\n25877 81444\n61736 69166\n51377 96092\n3933 41850\n26912 41341\n52493 72318\n6760 66572\n29627 57073\n25354 94412\n9137 64135\n34030 80962\n62108 65317\n65678 76624\n28954 42994\n17358 49736\n23247 39233\n69095 96015\n40613 49254\n27842 91918\n18206 87733\n18205 89801\n35754 69352\n15729 18058\n4482 76807\n29243 63656\n6430 31232\n44820 53192\n41289 43158\n27115 65972\n71146 85165\n41634 50672\n14119 85565\n31220 91027\n7554 20022\n3698 70060\n49629 85229\n39761 80529\n26855 84460\n42213 44944\n82454 97994\n9973 90108\n14093 34463\n72466 76771\n1336 96840\n39875 61276\n44387 85766\n51106 90909\n19307 63240\n46102 60456\n13214 98272\n79369 79511\n23162 97195\n34604 84684\n16224 81592\n74591 78036\n36508 78410\n64209 69888\n33065 51381\n25310 90132\n32813 60456\n35900 83559\n8189 92192\n4241 9637\n32751 44996\n55755 75334\n71106 95112\n64833 89908\n39840 48746\n8617 17106\n17247 66336\n53116 76815\n34447 42584\n11297 85779\n30765 38353\n23707 37009\n16404 75225\n76409 93974\n51341 79579\n37260 71358\n12261 27888\n28421 70014\n9913 82821\n1349 53946\n38906 92922\n1774 32127\n32523 34377\n52313 72226\n56061 58125\n29111 61724\n13124 31295\n43989 77428\n31988 85678\n13206 25181\n8832 16454\n63857 65558\n18828 21628\n52178 52275\n42247 62455\n1075 72688\n14728 35471\n32250 71842\n50666 67300\n37315 82161\n31317 51800\n8634 72095\n48653 71567\n40396 99164\n33610 41441\n87002 98318\n56228 66483\n827 54934\n52383 97651\n23747 26671\n6913 57363\n20858 97619\n3902 51867\n54398 72842\n6430 18086\n95729 95853\n14970 15408\n48589 54971\n13086 17004\n57574 70614\n47796 55444\n7487 16875\n13507 41551\n10620 95435\n9751 60578\n8523 59459\n18821 89337\n25820 75787\n14239 83543\n30004 32044\n10096 27049\n25848 40995\n23267 43837\n51005 65096\n75967 94723\n61664 66964\n46225 61324\n73609 96401\n2949 4845\n29666 75149\n40209 43212\n79711 88897\n11063 65818\n18431 44447\n4590 71063\n2164 94381\n32100 63507\n24946 52868\n30914 59453\n30268 91511\n20042 22422\n1534 88919\n24500 73902\n17539 64656\n10018 33886\n36038 47496\n16076 68253\n30257 40920\n6748 44727\n58345 75857\n13114 24639\n11114 77456\n68447 89635\n23492 54909\n32238 91262\n18653 24103\n6324 7379\n64476 91356\n56561 71510\n81789 89389\n12283 20622\n35812 73496\n23582 51838\n46332 63813\n22945 67797\n3858 39979\n35227 63133\n58396 89017\n38315 59787\n50374 83201\n85046 99882\n11563 93261\n18003 42153\n18930 76991\n98195 98848\n88751 89072\n26263 61426\n67192 86787\n22113 84113\n5340 48424\n61854 99525\n45177 65558\n19045 49152\n28339 52458\n13538 74926\n10760 27814\n65337 78485\n18933 99269\n24614 39009\n54536 85846\n20101 77769\n53176 63350\n7849 8065\n19561 20772\n46626 62378\n69114 85315\n3036 24266\n28652 61410\n23654 73716\n23670 95031\n17430 67219\n16541 92803\n57073 85917\n31262 32162\n4007 57382\n48862 87741\n37592 70609\n72853 87662\n10254 65147\n15271 19158\n10704 21670\n29810 83365\n47359 87448\n58344 73418\n18230 89224\n25261 82077\n1648 40099\n7370 40201\n52992 62115\n22573 74361\n3937 40396\n74697 89239\n43559 81349\n7366 29670\n25346 32662\n20953 73617\n77511 85938\n8329 69193\n309 65945\n34514 63877\n21915 32112\n58349 64627\n1077 68523\n37402 50336\n69587 73975\n6815 40494\n8412 81179\n5425 70621\n5457 57340\n3888 40604\n11502 50696\n43779 85100\n3801 42446\n18601 31066\n82690 95297\n64942 98651\n90310 97553\n15502 58003\n44516 61925\n20550 76189\n22208 63945\n3288 91098\n26700 61046\n50887 71305\n29070 64857\n53780 85783\n36872 71421\n18207 34231\n21113 29883\n39964 72168\n16298 90928\n26883 99553\n38499 48367\n45106 82666\n4789 31425\n20122 78544\n87448 97370\n69759 98800\n5720 56404\n37246 77809\n68662 86709\n55482 62788\n29072 46618\n70348 78023\n26096 37673\n3220 67999\n27672 63942\n41618 92718\n39652 49985\n56354 99585\n2473 15528\n17282 19907\n23805 79968\n37691 75657\n30130 98224\n472 39280\n23835 47998\n38880 55341\n15357 73238\n27218 37686\n27912 66984\n85903 86109\n3256 63978\n25264 33280\n6618 26240\n9134 76925\n6343 80590\n59562 60636\n11128 96952\n5359 25520\n46086 82787\n6871 18656\n49586 83997\n5831 98710\n45250 70016\n17230 66080\n44430 73959\n48292 80699\n198 12734\n17511 99087\n20749 50566\n55532 74595\n39796 60694\n3921 86208\n14124 31599\n4426 40852\n36608 74921\n72234 94102\n10522 98547\n58926 82277\n20746 68921\n84008 99162\n43431 46811\n55547 72770\n39680 98614\n96366 99211\n41350 70921\n35005 86861\n37712 46405\n7115 74349\n88119 96641\n51018 62289\n36085 44755\n9627 16795\n37161 96244\n68196 77520\n44779 90869\n37099 76141\n8346 86363\n15239 86857\n53683 59470\n7554 10256\n71272 95630\n51936 61610\n1962 74433\n2755 6396\n50088 97485\n52885 81210\n23236 74583\n81912 86368\n66703 94403\n5549 52859\n56587 69733\n26404 43427\n3640 99485\n50441 79113\n47132 72758\n20861 99180\n34283 45747\n137 19391\n58675 80359\n7213 74030\n9039 63443\n6210 92733\n38820 58363\n31944 58780\n39458 50969\n51192 77100\n14909 44992\n51790 70423\n43328 67963\n70784 89393\n62590 88632\n59415 70250\n25417 49778\n18224 24835\n4041 4219\n14780 83850\n61407 86652\n14458 41634\n9111 52238\n57180 90908\n70719 85114\n38114 65166\n37241 83519\n14059 70958\n32406 48627\n40378 88737\n80250 81718\n28132 80759\n51338 92933\n1520 40942\n36720 57246\n18007 24268\n34784 73053\n69832 71280\n10226 19872\n23807 53164\n43411 88692\n15726 30266\n2674 64948\n48057 87974\n23909 38059\n41723 97309\n75036 82379\n6154 56215\n36312 92512\n8242 17224\n28685 63126\n51651 55642\n7978 89961\n71278 83074\n22471 97694\n18517 50720\n59994 83527\n24171 92747\n19229 92557\n44442 81320\n12408 44160\n82026 90511\n46760 73004\n55473 70605\n16771 71704\n61901 78171\n35960 95097\n28874 99803\n12978 36852\n20906 41183\n7935 28826\n35791 64739\n14723 48002\n6675 71879\n5605 6768\n48392 96696\n70930 82407\n12686 43286\n23955 95300\n42934 52308\n576 23571\n20368 72464\n7996 40192\n65449 80182\n16780 42862\n697 25884\n1287 39588\n72291 86165\n9261 50963\n3832 70829\n69856 83404\n10181 24294\n38350 84314\n50340 62635\n32409 83682\n70265 70722\n17174 89981\n27169 81913\n40901 56220\n84 71458\n30182 86034\n47054 86067\n6690 47796\n12252 80692\n76740 99441\n18960 75608\n4542 9212\n7926 96990\n31343 95183\n57496 87811\n52158 89440\n8937 37275\n23257 40138\n48579 79393\n23949 48170\n13124 37556\n26536 45227\n50773 52960\n6958 42068\n54064 65274\n6384 73372\n40440 81334\n4628 60984\n21343 24136\n15814 40271\n31758 61288\n16279 91947\n24459 81269\n41293 58963\n19160 90165\n24731 84363\n35292 81539\n13635 38768\n34962 76187\n46113 64119\n5629 73571\n60040 69557\n41516 66051\n22727 44278\n20587 91684\n68513 75752\n2832 59933\n8157 90396\n48701 92177\n37146 86103\n71725 79586\n19450 22928\n23903 90177\n30844 80862\n66411 76669\n56524 75714\n31090 83886\n25594 62890\n32860 99505\n51439 58214\n80968 90338\n24150 68957\n67910 85887\n14961 92897\n26667 99968\n41810 68434\n39134 97656\n24571 72038\n34745 79296\n28649 66431\n31330 89576\n43400 71111\n19326 39198\n22648 45573\n32546 83370\n59208 87344\n13848 94778\n73365 95737\n8783 43906\n8471 35091\n3360 22586\n19975 20304\n10635 76393\n16429 99689\n19835 94155\n41568 93618\n48898 96392\n88639 89960\n47030 82989\n47081 55484\n69020 84235\n4837 48590\n49279 78119\n18709 37297\n4683 62313\n67782 71825\n66168 88225\n62591 92842\n41593 53465\n6779 17394\n25437 34153\n24867 99682\n51246 85063\n16869 24579\n41843 99902\n4833 85919\n37022 77976\n41188 79352\n10806 11559\n3432 9356\n10511 22712\n29541 62955\n2129 33370\n5716 30530\n22432 78490\n62579 83590\n63914 99402\n40191 74268\n17901 87075\n52474 52943\n29199 33136\n74588 87691\n92592 94420\n45226 53790\n41021 61020\n15684 23375\n51551 75634\n24786 98453\n1110 46510\n14585 71871\n12419 59729\n64854 70153\n11882 34950\n4211 92295\n8364 49616\n9810 55558\n25175 28840\n22258 58510\n8758 21118\n32016 86117\n12405 40078\n53801 67743\n2309 22546\n32261 87160\n6772 57782\n21568 46285\n6387 60807\n17216 53511\n49157 69046\n15263 55982\n2444 55012\n4672 34644\n43996 87731\n9263 40573\n11377 14455\n2473 95631\n7883 83134\n3404 77432\n5078 28681\n45626 65659\n58934 99153\n62169 88944\n21286 37324\n12213 44846\n41076 87974\n7973 24375\n33741 66904\n63599 75172\n46505 53886\n4360 76056\n6627 68764\n11661 15226\n18796 58294\n16146 59128\n17781 74996\n24767 88442\n36799 98523\n33233 58909\n7341 79252\n1462 32546\n37650 76760\n14533 59453\n3513 91636\n50971 60220\n39131 63249\n56262 87850\n65775 95408\n26974 82758\n50399 66252\n58980 67003\n7986 39943\n11199 21529\n44758 52483\n27233 87998\n6043 55908\n39531 67030\n5199 38325\n53801 79952\n301 63584\n14433 24203\n80467 89963\n3779 43680\n19223 94549\n1674 62843\n23245 69683\n25709 93646\n66042 67317\n21928 40315\n25198 43424\n34660 66546\n41781 81372\n6610 68565\n24023 47489\n1683 41828\n24253 91320\n41700 47242\n6608 48344\n24461 38534\n19545 99835\n16807 58927\n63968 83913\n12252 19603\n43538 91985\n2599 62602\n15483 81293\n27994 33646\n84914 94501\n75496 75509\n36796 72700\n45924 94096\n5616 49688\n57660 81426\n11200 42188\n5184 91209\n16364 26463\n31624 56825\n7494 95618\n42594 58912\n17389 33962\n6476 90584\n48304 95234\n29017 36904\n12147 14648\n33286 53540\n5414 68407\n58747 99383\n19179 35527\n66342 77442\n41486 78235\n64285 84237\n28545 94516\n14241 54568\n7412 93619\n73495 77428\n51265 93105\n27759 72612\n13649 33680\n71874 92223\n44132 61387\n31916 72935\n11259 52290\n45453 88092\n14644 67713\n25676 39820\n89928 94284\n7961 29858\n72590 94220\n11753 25152\n53207 83236\n68789 99137\n20700 67779\n41912 47215\n32562 99526\n10840 91525\n8507 12793\n36990 45382\n44864 63281\n24309 34004\n17164 45114\n19923 90220\n43803 44860\n66293 75025\n41567 59828\n72611 78152\n18272 56442\n72187 86941\n56196 85549\n26550 80324\n53362 94707\n26300 49943\n30958 73295\n24165 69486\n6301 85971\n57193 68941\n15513 32296\n4493 18566\n63239 75463\n38119 75408\n38011 99049\n47838 52484\n28675 45942\n8229 94391\n27559 73096\n65986 70135\n20827 76439\n8231 29670\n62564 97181\n71504 84932\n52184 60827\n55574 70490\n12353 33014\n32157 61609\n50047 65347\n3134 76363\n21315 63974\n19028 31365\n66664 72719\n43838 56582\n11054 16430\n12482 78269\n13549 94947\n21391 31303\n71610 86565\n45379 48669\n5693 29332\n8144 61021\n55210 57501\n8710 22123\n30915 67865\n5081 69604\n27421 56398\n20225 66822\n64244 77239\n46871 94052\n15240 90831\n63734 85077\n8530 57643\n50905 54605\n16282 85483\n51220 88189\n38924 99922\n8710 40012\n33779 53256\n56228 67256\n555 82490\n56946 96283\n26495 58405\n19759 91904\n19301 41462\n8347 56264\n62638 68463\n36093 92673\n55734 77516\n32812 60414\n50594 90384\n55606 72976\n17447 54042\n30004 94282\n89295 90199\n23508 98626\n41551 80502\n19838 72619\n28439 34226\n20235 92930\n67122 72101\n11233 91130\n20408 80744\n33759 74641\n19458 46798\n19494 50359\n7018 19604\n5873 17295\n36556 61192\n16849 18059\n43288 74347\n23811 58248\n20279 62639\n21511 75999\n7922 28799\n56937 61892\n70128 96544\n47868 68535\n64941 68965\n69701 84342\n68764 70320\n30845 93650\n76780 94837\n1483 65451\n43767 81783\n11468 14903\n616 92326\n2794 23621\n20804 54415\n28926 53620\n76140 87558\n20895 30711\n69957 97017\n28324 39702\n34697 98863\n4999 92056\n85758 91350\n8966 82387\n39860 78548\n65490 91202\n43630 96047\n50252 95913\n20288 99027\n835 61716\n13745 65765\n537 99677\n84930 95641\n59334 79903\n78540 88102\n32784 96263\n7135 89260\n22038 80251\n18289 48756\n46437 94370\n70255 74415\n43600 74728\n53789 73055\n26640 86144\n33000 44475\n30539 55286\n63631 76562\n11637 77098\n47943 64470\n944 76976\n12637 73519\n59431 92588\n458 75068\n14054 94922\n17672 90399\n36828 78020\n70393 79684\n25540 83991\n52727 83301\n46529 68848\n44547 61835\n31545 46452\n52063 68583\n68556 77780\n19397 68120\n46402 69971\n34206 58061\n54207 80128\n53067 76182\n48247 72980\n83459 96967\n20461 59216\n36581 50883\n50059 89098\n28432 76031\n68799 71622\n24252 52006\n17542 99217\n48084 51330\n66653 95133\n16007 54373\n28697 40796\n1595 77139\n38717 45349\n34530 35078\n34650 42319\n39840 61943\n50653 73048\n39861 97588\n23572 78191\n68203 77886\n37926 52723\n41255 42854\n16109 81300\n5733 5949\n21945 22323\n84693 88004\n17288 42879\n53258 86439\n671 76671\n14883 25533\n45305 60651\n16306 32111\n27165 44036\n86338 96348\n46089 52949\n41907 67650\n47764 72443\n17908 20156\n79827 98595\n47523 57865\n57927 59851\n71614 99944\n15478 54703\n7570 40305\n71509 75252\n23026 59831\n72309 80287\n6830 90891\n30720 80332\n12035 63427\n59327 63547\n79619 82810\n33291 50099\n56969 74291\n5389 56165\n52657 74931\n15993 93377\n20750 86513\n78 31879\n3810 36781\n35679 71570\n57048 66346\n50640 60334\n54213 80197\n35229 63635\n30540 57805\n9195 41582\n26733 99333\n33355 37997\n69468 73580\n12458 54083\n13258 46153\n19754 89110\n67419 89681\n53012 60963\n43418 66065\n25316 85017\n74628 90094\n78987 98730\n46935 79036\n58611 77735\n10686 64353\n55782 83392\n66801 93764\n59392 72724\n8756 42264\n35614 65137\n67183 76896\n46003 58904\n72121 95416\n15773 60193\n15278 85667\n290 28728\n13045 66144\n74407 90873\n7068 57639\n7197 7609\n20870 34681\n67015 79376\n45943 51068\n14869 23914\n1023 69476\n26299 38938\n17833 92987\n22948 71911\n23268 80533\n53767 68600\n7696 45302\n40055 77085\n64217 75262\n1202 92641\n27399 77174\n10410 50450\n68339 95722\n2478 44267\n23123 81178\n11882 19377\n68575 89357\n12612 83203\n88520 92345\n46725 48918\n29121 52240\n35887 74677\n24062 86634\n83434 96618\n62939 76098\n25925 98923\n63727 79624\n1215 5172\n20965 41387\n61217 63403\n27848 90199\n62078 90126\n30053 71687\n44471 86112\n21353 61803\n47605 77801\n16873 61574\n57944 81968\n1237 57588\n67733 92215\n7416 71204\n21100 35278\n42640 90581\n4453 73890\n15725 81994\n14471 50262\n34786 89065\n29308 91390\n36998 61742\n16818 93812\n18702 85433\n10897 78707\n60790 84812\n44586 72781\n79962 92471\n38570 44617\n23798 72728\n59813 95442\n31149 85760\n25702 37866\n23844 65563\n5489 9317\n3424 34619\n7896 87466\n13050 41757\n7843 48900\n21228 96432\n65858 81761\n64903 89625\n66072 89802\n67174 79609\n43893 60759\n24996 72885\n26516 71117\n45327 92778\n16451 37880\n77126 88411\n86446 97994\n41776 95567\n96074 96685\n71703 75372\n61062 71980\n44850 54670\n9362 68643\n3196 86386\n55607 68084\n1852 4571\n55920 65129\n29782 70301\n34323 72435\n30452 68842\n5912 69407\n13134 50250\n10488 35103\n32332 42374\n15026 28209\n30608 81369\n23454 99200\n30221 53408\n19631 84744\n26049 81283\n1979 44438\n53943 81149\n76038 85028\n16441 38560\n11263 43501\n5348 38538\n21782 38760\n55124 59281\n17977 61054\n10763 77582\n60898 76173\n35784 39604\n50847 96430\n23566 68815\n92101 93226\n12123 99933\n5440 81842\n61607 93203\n16846 61298\n10530 31318\n44088 75880\n24740 31162\n823 58327\n41555 89594\n44616 86048\n4198 46450\n44896 75903\n51454 82137\n42756 51805\n13200 15164\n3031 57028\n46032 69349\n34375 49515\n31878 88803\n7074 19046\n60739 90414\n16744 86041\n2278 59624\n3095 77037\n1522 71393\n40089 49379\n9462 43602\n36813 69606\n30716 66110\n6910 78118\n79223 94566\n15770 60592\n48714 91093\n30596 57695\n49361 91202\n52208 85077\n92211 99838\n23249 55686\n32485 69431\n62222 94989\n50498 74763\n58117 79224\n25953 40511\n18014 42251\n12118 62440\n78345 87694\n64988 66992\n72348 76197\n58830 99824\n4692 96847\n1000 81039\n20244 97840\n51753 65792\n49971 67144\n18513 34936\n71298 83287\n355 1561\n76262 83036\n13062 17966\n82201 93642\n1014 24699\n70621 72798\n19346 61278\n70642 78549\n8663 92638\n76565 89853\n50087 72079\n50332 71617\n62174 96679\n67872 77717\n4051 81041\n20103 78562\n14529 70513\n17128 80715\n59646 72454\n75093 82722\n35186 59895\n30322 92254\n13831 84970\n30603 57730\n321 9816\n71035 76531\n94390 94688\n19212 43717\n13888 54441\n2077 65940\n3530 41395\n3382 96735\n25287 52086\n22433 51116\n30284 93019\n71446 99798\n38745 47511\n28681 60098\n62455 99960\n31042 32436\n44707 84209\n16954 28000\n26723 32410\n10947 19755\n12092 74837\n60476 85742\n19813 75917\n90765 98737\n56358 78188\n31309 35579\n32236 61737\n31627 66570\n4459 66324\n13284 53630\n9291 55913\n65603 83853\n66937 88550\n16141 59331\n5038 41682\n14206 70473\n88788 99795\n17906 67052\n34418 34457\n28164 55289\n45530 99720\n32982 56039\n10316 44027\n55938 75521\n9733 16184\n51904 51982\n18384 47764\n657 77114\n37568 66108\n58461 62647\n9773 81118\n51201 69791\n24328 99377\n29097 83534\n27601 43463\n47101 63719\n18793 50399\n24470 52712\n70039 90278\n75436 86643\n28086 90311\n48830 79130\n34984 61267\n35324 54541\n69612 96985\n3433 94228\n21146 34712\n67579 73273\n17031 39653\n22658 75470\n28736 38195\n85385 88278\n50303 78099\n39093 50234\n37864 93191\n45534 64629\n33009 34432\n24186 30293\n4525 12122\n13989 17963\n74872 77243\n74137 84137\n32079 79403\n7832 27079\n71419 93372\n45509 84671\n61337 78662\n67789 84929\n33709 36809\n41662 60324\n54850 63127\n2991 7946\n33075 68192\n20131 70507\n63826 70209\n18853 62292\n28518 87811\n14829 83803\n42809 94075\n48082 53606\n51742 85189\n50570 55069\n21902 25944\n17856 34765\n1215 4413\n67845 92113\n24673 86396\n49509 52282\n41370 67657\n4631 12547\n36778 53980\n26396 52457\n23275 80978\n27514 97413\n15751 96582\n10997 60407\n7959 18532\n54014 68350\n31258 49963\n14942 24639\n41212 66584\n6231 73121\n41952 77995\n3102 25608\n56806 62691\n70959 97142\n26463 52409\n9717 38235\n22761 87538\n13506 94942\n26559 62865\n11187 26444\n21836 57332\n74913 79713\n42749 93240\n15675 93397\n27980 60325\n29357 38265\n15729 71722\n22811 36271\n33379 80315\n63304 86734\n21539 92026\n941 80738\n45682 82435\n89489 90700\n54000 90321\n15569 29903\n65295 75289\n16401 73080\n30613 35544\n11179 23056\n28080 51507\n57778 72372\n5787 32677\n81222 82161\n16859 23597\n33220 40163\n26339 98007\n23784 26830\n20378 79470\n1591 80240\n27276 71478\n58371 99486\n6049 52837\n85139 87664\n29262 37264\n1198 7109\n33861 38112\n34164 74260\n9893 65443\n29371 69010\n43310 69316\n51019 54653\n50439 55988\n46204 85440\n44999 99740\n10606 14516\n7033 22113\n35498 83425\n2175 40109\n10911 55417\n21189 71598\n38169 88664\n4884 6878\n969 58231\n42919 84436\n11526 40164\n27539 73075\n7926 63324\n7733 17454\n72311 91304\n6407 62022\n2484 75439\n71224 73873\n50835 95945\n2124 77834\n41507 81279\n29505 55942\n27539 85297\n38956 75412\n52361 59768\n56069 68267\n26062 32177\n16385 29314\n73598 91327\n7113 93043\n43801 49241\n62554 97571\n8358 12573\n15346 71001\n13929 39755\n81440 86259\n7529 65415\n76967 98410\n8708 19611\n7394 47965\n73907 78333\n69810 91830\n93721 93752\n45032 52470\n54268 94764\n63224 94148\n11673 34614\n59228 85008\n3380 16538\n49024 52569\n90555 96174\n7967 34825\n26200 43994\n41945 85111\n24937 75000\n10916 36678\n7322 70002\n32656 38705\n22009 56778\n32675 35734\n3247 26249\n3798 91333\n36732 47716\n38884 92507\n64559 67660\n62287 80972\n70965 86137\n51684 59754\n37867 64378\n26598 96230\n17343 63863\n5514 33349\n51701 77851\n39717 94648\n56948 75212\n3081 82636\n31386 74270\n70244 84673\n215 17526\n43649 44331\n61538 75244\n71866 96897\n5803 15439\n24333 66321\n9472 64555\n14820 28575\n74669 87226\n50629 63667\n27787 52263\n45695 71418\n71499 87448\n61971 71687\n20629 81047\n24333 55350\n30828 76252\n62651 75667\n22528 45639\n74603 92850\n62199 74361\n2901 55507\n34767 60407\n54417 66472\n36506 83440\n31504 44116\n43077 78294\n76128 97686\n54363 83278\n28957 40617\n46766 66783\n45760 82356\n51904 57133\n872 40166\n68722 78653\n26484 64628\n38070 83309\n14801 96240\n7234 70875\n45404 74395\n17397 90401\n43609 67769\n7773 38244\n2264 63225\n33538 48767\n35667 56374\n7829 43304\n29638 75979\n21459 88243\n98604 99008\n53455 97022\n24374 92775\n25664 83184\n62909 82290\n13887 42604\n25346 87349\n4556 33083\n58123 98425\n18415 56311\n13040 32587\n51847 74010\n27510 33323\n28527 64287\n52466 72748\n6390 36718\n86149 87029\n58107 69025\n61331 73039\n18898 68151\n24583 62643\n42443 61898\n53696 82893\n33163 62584\n61708 95276\n20215 44976\n78032 87575\n35074 58421\n52843 86085\n27947 97289\n15045 48333\n80505 92835\n3142 76568\n4554 80332\n6323 55587\n56242 74542\n37533 43945\n10578 86570\n31647 82850\n7783 69200\n28977 79873\n88034 94874\n79480 99284\n42281 75009\n25767 36133\n11170 71264\n14932 56423\n24662 86859\n3309 92111\n4255 83543\n79700 88917\n62066 74338\n22572 63174\n65011 89463\n14179 17414\n41895 57109\n21389 72121\n11955 58647\n323 58793\n82264 95554\n22284 64862\n8817 24870\n25031 95494\n2502 65957\n4477 61593\n4205 56083\n10548 41165\n79605 80670\n15266 17238\n74399 88070\n54562 64385\n35717 81152\n3815 61511\n70347 95136\n4286 21256\n67573 70033\n47503 51045\n70021 72498\n5182 44946\n41484 92414\n27727 55798\n91705 94032\n38550 84627\n23914 83886\n52369 74486\n25175 62515\n61549 74060\n46017 52330\n41827 57874\n73484 97315\n51799 94673\n5244 83495\n9630 70924\n18343 63689\n9058 68607\n43234 66689\n29030 68819\n5167 69533\n36445 90554\n63107 69061\n1165 92794\n976 70510\n11974 87631\n32802 84471\n14475 67038\n11871 12130\n29773 30545\n26622 37345\n12495 22459\n33041 79732\n50131 92718\n34778 54966\n13702 88905\n8649 66578\n59049 72678\n72632 79749\n10577 41707\n10061 10629\n60725 92218\n48133 51589\n44989 99383\n32 57347\n24922 37002\n81591 82681\n67196 68079\n21462 29399\n31545 45089\n3112 48383\n37502 96514\n411 67181\n1368 40605\n26190 55679\n15530 82337\n73388 84595\n3158 77329\n35 25433\n37016 43987\n8482 13763\n14999 81770\n90507 94544\n43937 89894\n49357 86038\n19263 62362\n59888 73592\n2441 80434\n22774 32934\n40009 94905\n4577 97190\n21362 30257\n53947 82090\n7258 25163\n24163 42007\n8348 82417\n71255 94975\n28978 69427\n5585 77143\n26997 72182\n1765 24962\n48961 97944\n12164 40104\n15828 96562\n61276 84985\n42058 58873\n428 94876\n28862 61091\n13218 90717\n42956 95854\n46544 88642\n11377 80920\n15093 36037\n2321 15368\n44794 98060\n49937 53791\n21003 54807\n13218 53251\n55802 58297\n86903 91137\n23002 38638\n20638 96863\n59085 96853\n14329 32192\n8329 20411\n63366 64733\n83067 96746\n22712 58709\n38023 90509\n24360 50858\n22903 48582\n51782 67493\n76973 96312\n31684 93485\n7920 94890\n23810 98960\n66706 76132\n17050 36956\n21429 49028\n44626 87537\n34418 64668\n6226 85871\n23250 45609\n18536 50153\n49146 67287\n3539 82067\n29487 55646\n68732 95904\n58072 58706\n8979 98556\n2958 39687\n73550 83278\n7589 69301\n65925 67999\n43452 63428\n64609 96380\n52079 64815\n34255 67271\n53765 80240\n22255 31910\n24297 86941\n32760 75395\n4393 30417\n55736 74297\n19862 97407\n69247 79797\n32481 90623\n61274 76805\n70896 78903\n31508 73469\n10534 57179\n63300 98313\n37904 58373\n13101 16065\n18441 26482\n71243 98363\n9249 91911\n879 66558\n53751 65128\n22255 90799\n14692 18978\n21006 22038\n42013 82628\n644 76432\n35130 46482\n14261 29437\n21021 81600\n5311 33072\n27080 76008\n16278 52708\n45754 58979\n58440 72484\n2805 12120\n14554 65423\n81735 87564\n19669 22550\n6071 72501\n15197 78855\n46093 88079\n469 21557\n51779 75448\n8578 37667\n629 79516\n20262 45344\n4682 72053\n44716 69951\n39111 81358\n23190 36631\n25353 62887\n66781 69066\n66847 81141\n30728 33619\n56080 84892\n26428 97355\n56187 83640\n38350 66837\n45623 88550\n64542 83026\n15202 78885\n10152 40204\n48711 91516\n19005 79353\n39114 67104\n1162 81433\n6732 65607\n90116 95257\n19121 34050\n18881 54788\n27618 53916\n1171 19829\n38683 99188\n16166 66794\n26031 51227\n6082 23953\n8520 82966\n1571 71126\n62161 95759\n33849 64174\n41359 90937\n11164 13140\n4048 31113\n31911 36411\n39611 45191\n48418 50731\n18950 97616\n55005 96018\n23488 68911\n1957 17494\n90186 92173\n4992 99859\n8121 14724\n41424 46293\n24432 63165\n35314 67664\n20692 72583\n22004 70541\n78393 80539\n6145 80181\n93748 98270\n33387 66425\n291 52740\n91243 92233\n24868 93886\n55740 56789\n26607 57351\n64704 73871\n7442 96933\n7512 66674\n68055 72043\n16465 98681\n33414 74585\n17824 74842\n7821 9956\n40073 59491\n6887 14483\n49552 99798\n56020 98542\n67525 69142\n67821 89041\n30196 67265\n59032 73293\n29053 93988\n45938 59298\n83309 99052\n59105 93513\n32301 78888\n66343 84439\n17475 19321\n10619 52339\n24200 51031\n18884 50113\n9027 83611\n3035 67898\n40896 49565\n65066 74329\n33444 91817\n55056 67566\n31164 86808\n18384 96841\n60616 97121\n27310 89084\n70590 99926\n9666 47606\n30567 65433\n22219 64825\n24411 84933\n43376 61814\n15511 76692\n38986 39934\n1924 78290\n27849 66748\n48173 52850\n30740 57291\n24359 59897\n88721 94555\n21108 71700\n56776 73935\n15848 24110\n37696 92531\n3996 30470\n45085 92970\n50940 85520\n51677 54314\n7638 89222\n19440 81457\n44777 65751\n31338 83930\n24668 64763\n22179 87872\n40754 53783\n42561 67495\n27383 48182\n10945 66183\n4450 8040\n87721 94351\n74150 79439\n48010 52348\n328 19820\n25662 86133\n28337 49866\n40429 68796\n40270 40846\n21437 87134\n7110 83130\n13777 64410\n21952 50306\n29730 62429\n6125 98149\n12269 37560\n1189 59443\n8170 46173\n21857 97667\n12448 49911\n21459 51931\n68422 72993\n16204 51979\n56444 67137\n4094 44290\n81405 85010\n50139 58252\n55247 99804\n67314 93147\n33353 34318\n5497 31289\n50120 87275\n48765 64078\n3100 86297\n66186 84668\n24444 42580\n36125 50512\n88109 96935\n17507 90499\n72940 87624\n5553 23565\n48511 89390\n72950 90196\n26404 36325\n46041 52290\n37459 49084\n3276 52540\n82682 91063\n34928 84280\n7571 56554\n12333 37017\n12248 39835\n4942 69377\n51666 53731\n61722 69340\n47267 54381\n70175 82681\n17189 43714\n8883 89391\n7879 52798\n41921 47401\n60136 91711\n8265 61239\n53882 88218\n23962 73532\n13464 97299\n101 22455\n34122 69260\n18189 79363\n38963 90780\n89034 90219\n59111 73740\n13660 61763\n40430 45647\n1938 79445\n82459 98642\n60287 85169\n31676 97997\n305 40695\n56935 82049\n14555 81427\n50655 98206\n21289 22064\n48482 86865\n82274 94135\n2057 93358\n40578 81890\n52578 70199\n35664 46890\n82255 91354\n26674 72383\n20144 83621\n77240 96314\n129 70384\n49560 74807\n6174 45067\n26552 41147\n62800 67397\n65678 66293\n20948 52691\n32684 78703\n56588 66231\n6602 96365\n18606 89967\n1647 45382\n70365 88874\n15727 81070\n55054 59743\n10199 75151\n17714 94657\n33154 56309\n1803 68441\n45013 52351\n53376 92505\n56384 93813\n75386 79852\n19414 26684\n23000 99828\n90537 96106\n14470 23595\n1840 95326\n1019 53698\n21850 78925\n58105 94837\n47424 95688\n35166 63322\n20175 69309\n37426 92825\n3134 7701\n16580 53869\n15024 42470\n16651 41846\n6235 30590\n17931 82473\n8966 76522\n62500 81513\n28361 81905\n48810 84642\n676 56451\n30725 87862\n8163 77958\n27688 68373\n69382 79260\n56213 89136\n41335 73481\n4873 39728\n30047 53155\n22567 86898\n2064 33635\n33411 44558\n366 91667\n27659 35371\n35374 65400\n10148 61253\n18197 57844\n81623 96142\n22220 70822\n32503 80664\n18800 25139\n70358 88671\n49413 69043\n56644 95969\n37535 58922\n47025 48773\n24594 92033\n36065 44123\n47256 65711\n39252 87233\n1792 75786\n33441 75898\n2374 59807\n26214 26957\n45522 82565\n72226 98587\n22525 48646\n7711 26292\n35671 99740\n25383 56442\n33017 33738\n22607 74367\n54946 58445\n44201 55498\n3470 48605\n43778 76857\n45196 46320\n2216 68811\n21968 76340\n1583 85569\n94159 95091\n53766 65276\n30689 34253\n18075 31422\n6436 94332\n10576 95377\n45156 89011\n5818 87472\n5626 37994\n43128 90221\n1707 49254\n53376 54624\n81497 89998\n22686 81475\n50190 66187\n3551 65033\n51466 87613\n20404 75716\n7266 20374\n18106 87061\n31090 56802\n22116 30190\n37258 49292\n3298 79353\n33673 33946\n40596 69173\n34441 41970\n29986 35967\n36353 41472\n86811 96220\n57485 58891\n27207 42367\n105 74042\n35197 96267\n40140 85924\n47008 57943\n46216 83344\n8316 90648\n11772 55102\n6626 16015\n64724 74145\n509 55123\n34821 48885\n28675 67958\n53974 69250\n46978 55388\n5528 82092\n15527 19849\n45692 60303\n35064 52655\n26614 36449\n78012 83297\n2663 68130\n30598 62093\n12239 66552\n64356 76444\n78654 96604\n42812 63540\n1232 51055\n74442 90157\n18765 59804\n53864 84358\n61127 73980\n31556 49480\n28039 91336\n62314 83797\n95176 95946\n67541 91965\n15430 60914\n27348 42468\n51513 54269\n27284 53547\n30441 48147\n33460 47813\n69958 99325\n42860 49051\n13540 74951\n56427 63685\n45833 56611\n50690 93204\n9936 29798\n44299 63953\n39634 45569\n81462 81763\n45316 60878\n8898 43175\n15190 52785\n31961 88574\n13999 68119\n28430 82523\n1031 75557\n5334 40378\n14188 88523\n57789 66063\n35116 78933\n14822 82469\n6509 39007\n4655 74776\n24565 40280\n36365 89678\n18175 20720\n19276 92621\n12531 66197\n16611 52886\n22989 70378\n26200 61970\n5463 12471\n32094 80677\n9921 63186\n9049 25774\n33919 71689\n20112 44892\n364 35071\n35152 57751\n55110 78620\n57000 80226\n23119 76479\n58497 91261\n11829 46635\n25646 71769\n20980 42071\n36226 61235\n37066 66284\n19868 89622\n76334 88841\n41103 54778\n12843 24867\n22318 52784\n19866 66626\n36730 50007\n8003 93528\n18055 77604\n20078 96383\n17340 40376\n6730 89707\n25524 45774\n1761 49148\n9279 87901\n19399 90687\n28307 36265\n59287 70471\n12914 59379\n10221 92961\n34589 89731\n16445 73772\n22673 32384\n8061 85009\n13875 69524\n58548 77536\n309 36188\n43606 97458\n49498 77642\n76491 81332\n14266 68326\n2455 92646\n18049 50314\n32209 59688\n38139 84481\n26734 85400\n39125 44931\n22045 41202\n32504 69995\n13778 35988\n16287 77258\n4033 71633\n33303 87370\n9113 59485\n25778 46511\n42356 91816\n58180 99880\n3352 20703\n27416 90531\n12758 84368\n17779 48335\n67445 73530\n5008 96330\n54824 75886\n40204 68378\n63252 90547\n42339 91970\n24980 80932\n55789 70678\n8124 21250\n4583 99948\n9425 90188\n44926 98438\n19467 40514\n25682 57861\n25549 89171\n48142 94642\n47238 75392\n75149 97124\n89583 93171\n69065 84207\n28220 46625\n1425 56390\n17768 81209\n35240 98856\n21444 87393\n12664 52014\n71356 71770\n30199 32181\n9358 80199\n31536 57494\n31707 77227\n63575 87014\n12195 28304\n25221 53054\n13476 21102\n51850 92078\n36817 83150\n85796 95478\n2760 37365\n15052 73108\n51070 98548\n37468 86219\n41808 54595\n7913 94865\n29282 74686\n20464 51277\n61861 81074\n57474 75963\n35165 60734\n24618 70238\n25906 47372\n35044 40330\n24380 75473\n1087 10270\n37788 39552\n76195 95202\n13359 72280\n34829 87874\n35670 89049\n77940 99942\n23132 93127\n20053 44265\n60418 65710\n12318 88797\n70881 77992\n26663 73114\n25391 39786\n26804 45931\n31531 94631\n34889 91772\n16283 35339\n21129 81858\n1498 66466\n34066 53315\n34370 56502\n30077 85618\n50395 67020\n7171 80927\n81527 98418\n5066 71932\n34257 44756\n11710 66449\n28428 31005\n78090 87891\n14492 35645\n8600 8663\n60754 69530\n46120 87265\n4748 71328\n16024 66703\n15383 85631\n39269 43238\n47424 82280\n14268 57736\n12626 76918\n8541 56888\n24356 70754\n1615 56526\n33436 79151\n80286 86939\n16443 88462\n69660 89717\n82708 89322\n14002 82026\n3184 44291\n1952 67299\n70289 93671\n20299 77015\n3450 86876\n14420 35232\n18686 39886\n46108 87936\n16827 89618\n70174 82422\n6562 51169\n9868 34571\n42487 45601\n41178 90881\n11033 22642\n4561 41038\n27581 77004\n32904 99237\n6913 18601\n31089 48937\n5982 66005\n6988 75259\n11136 82957\n89761 98336\n27117 93815\n64902 95721\n14557 38049\n3797 63315\n28513 54242\n15587 39856\n31101 75755\n28006 90879\n24941 89056\n82154 96678\n2625 75720\n39444 87740\n1366 90726\n69944 78363\n603 56190\n2058 59010\n7181 20728\n1193 95599\n44913 74664\n26045 96452\n27867 99673\n11281 62628\n57663 92604\n10228 95185\n52902 90000\n66631 96540\n76750 96697\n25706 57591\n2927 93696\n12639 30794\n29340 90382\n66520 98842\n10629 35427\n82108 87819\n98379 98396\n25676 62020\n24200 77958\n49787 67842\n49179 72157\n43608 56818\n46142 66545\n30678 98379\n27903 36832\n30190 68879\n46224 46440\n14342 96479\n50381 68654\n70809 85217\n9447 44620\n34177 37075\n2966 47601\n67236 78884\n25010 92489\n51084 96737\n1704 31645\n13384 47363\n16399 31705\n51071 93747\n64712 97882\n24605 85719\n25487 80377\n53545 68769\n3859 30678\n26035 69960\n19330 57548\n7977 23864\n10858 76367\n19290 91652\n52267 61564\n58628 72230\n18004 59919\n66913 83180\n66149 94850\n7232 84267\n51785 94484\n40867 60826\n30266 60092\n27444 64466\n35232 51069\n34834 70206\n53118 93241\n22951 66945\n43811 85839\n73831 97691\n17253 82953\n37701 98753\n32105 77477\n13484 29440\n4163 52859\n31309 64771\n8486 9596\n87846 99936\n24563 62310\n21588 30129\n25864 34598\n20110 99386\n61465 99780\n12850 68591\n37011 87765\n7582 16709\n16748 17548\n18386 89482\n25205 75764\n12262 87020\n58935 60846\n30802 96846\n83308 93235\n18574 50821\n20442 57922\n46066 63689\n75933 89853\n64506 77216\n63766 92916\n77717 84511\n66044 93816\n53055 67154\n4605 26698\n29761 76508\n932 12944\n12930 33299\n28145 99452\n29979 74992\n44403 87597\n76136 97075\n36736 85244\n45770 86971\n62765 63754\n33369 65290\n3257 58502\n30251 96880\n27418 37517\n12346 53639\n43377 75063\n94534 97767\n50025 95245\n32040 59593\n68449 88889\n77730 83467\n3797 67383\n26854 62846\n16820 88857\n69412 84370\n24639 97253\n12615 49679\n23937 94283\n23916 86256\n76616 86351\n75374 95012\n56448 90645\n6411 28223\n33667 52132\n22292 45230\n53579 57289\n23966 78236\n33909 65484\n47468 60422\n4341 75986\n20068 54253\n65975 84287\n74656 87329\n5838 72292\n7682 20461\n24105 73985\n32800 48039\n84033 90208\n37905 44256\n22979 98123\n29749 87895\n38633 79465\n12762 32845\n15946 21269\n48366 74322\n19976 86795\n18745 42025\n3827 16559\n17801 93659\n27061 77369\n26117 46416\n88963 99415\n6074 14807\n1837 77895\n43420 69691\n3131 18977\n72339 94818\n17565 25987\n63192 77773\n49227 88203\n33985 82713\n86304 95655\n27677 56381\n27152 83772\n8023 94899\n60812 92723\n29352 74409\n33581 75145\n374 81131\n36795 46354\n28626 73600\n2849 72873\n26381 86311\n13809 57433\n17149 62430\n42895 67009\n11968 67610\n31912 58507\n89244 93705\n13640 56104\n77599 93382\n37623 38180\n9584 71297\n53091 99159\n74033 92360\n69977 89691\n56643 79192\n66821 69016\n19782 62878\n37578 84470\n38409 73870\n73357 95664\n48354 84839\n18749 36270\n10325 76430\n866 81772\n4509 92612\n63992 70785\n78757 89199\n40638 74495\n50999 97972\n911 48213\n6286 18964\n22801 43935\n25437 97842\n20750 72961\n10157 71418\n32506 68860\n1902 57501\n23412 45313\n31946 77464\n2421 94857\n39069 42481\n46807 67740\n3907 77456\n22233 69523\n45256 89781\n4192 64815\n27029 30581\n36580 42096\n1174 50067\n9738 67223\n67887 87786\n4777 96601\n31333 62007\n73542 77848\n13390 89077\n28678 60753\n4337 16304\n46896 64118\n30127 45535\n4352 24898\n55774 93839\n61190 82828\n25607 90705\n28786 74011\n2915 89683\n27037 29769\n20559 32576\n16316 65793\n8147 31251\n54535 60032\n65912 67341\n30959 57443\n51814 83091\n14953 50343\n74935 91237\n15367 94123\n46962 50033\n12409 16100\n58622 76265\n38242 74057\n55513 90436\n70327 77719\n12047 38002\n55635 76404\n48426 88949\n19246 42127\n5738 93754\n29340 66920\n8021 41366\n7350 90235\n26234 47041\n72371 93173\n14236 79486\n45714 79714\n10348 32026\n23610 99837\n17434 29703\n1410 82356\n21087 72733\n6806 16069\n36700 74243\n36964 63859\n10108 12703\n8000 39330\n7175 61465\n25459 44548\n35468 36886\n16262 46575\n63279 94435\n46743 79352\n36201 85310\n44471 64282\n984 22705\n85016 92851\n31731 38516\n28239 77129\n6843 93096\n7968 97386\n12451 57046\n25634 82166\n21599 97992\n65735 89789\n40887 62303\n21803 50906\n23709 46412\n55165 55917\n73104 91442\n22177 57297\n63060 71931\n42269 53352\n13079 71201\n9008 23358\n43459 55945\n17271 29286\n4201 73496\n39440 68680\n3566 56641\n36662 51592\n5171 74027\n28037 54541\n22365 43052\n37283 68190\n32879 85998\n54981 83363\n3909 84773\n8187 62269\n28823 32347\n13725 49066\n41519 90347\n29255 80054\n62154 68294\n88910 92887\n4457 39114\n1950 5062\n10759 32216\n24867 29076\n25162 71364\n1907 45885\n17224 33605\n49083 95549\n36929 96578\n946 97409\n50935 64980\n4471 43894\n71923 87936\n9990 30557\n1943 88246\n36340 64358\n17511 74257\n1996 38434\n18036 80229\n48291 87859\n9408 83284\n44158 99955\n13784 41856\n74064 98843\n8803 48041\n65899 95841\n14663 15423\n27541 47094\n46821 98551\n2282 60334\n11641 32064\n32392 38913\n17401 97269\n39566 79324\n30493 61162\n38177 46703\n54856 71063\n5464 22990\n51979 96791\n13248 13933\n15153 49556\n9989 57935\n4707 8469\n4278 10504\n37242 49931\n32215 53119\n47885 66822\n39432 55561\n3806 17235\n41910 48672\n14090 52921\n7184 30092\n1916 47263\n36562 68391\n19847 22161\n26024 64795\n1539 99256\n41972 63633\n11723 71726\n55317 83678\n73815 80725\n23908 71849\n5077 56858\n24008 27687\n27357 87666\n3427 92639\n724 16586\n27670 44732\n17066 40036\n4886 21813\n22405 67739\n45844 97058\n36788 83900\n28004 62614\n18981 35492\n6071 89488\n58181 92004\n52663 89937\n12144 55482\n22836 51910\n1585 20176\n6342 25274\n20808 58843\n20271 43071\n70469 94476\n45929 92534\n8725 65760\n26608 56435\n22419 69920\n2683 73967\n48688 57520\n1191 63399\n49354 72094\n50639 81836\n24274 80371\n77257 93498\n29074 66825\n66610 69235\n514 23234\n87351 97591\n23145 44455\n18874 96238\n34027 81172\n39611 52743\n6782 89993\n60813 97879\n64767 90159\n35192 73618\n7954 72365\n29660 82273\n8196 70842\n35351 94638\n41050 55509\n62884 70203\n7321 51042\n17069 55269\n18415 84265\n24262 34358\n30661 30891\n28780 74622\n39564 83680\n32601 48685\n16918 43199\n39974 52821\n10105 64099\n50955 61711\n58443 64378\n6842 96456\n62189 63459\n81754 88555\n10270 17333\n2023 79563\n24685 79792\n15509 60321\n27793 75587\n2532 91133\n18570 23002\n8901 63740\n85363 89395\n29500 48849\n52780 64683\n70886 93649\n9615 38711\n4130 96733\n60550 80324\n52407 59968\n24497 86526\n22870 77220\n1788 61557\n35058 39489\n50147 83254\n8531 62232\n72365 95949\n38209 83255\n14964 17726\n39139 95520\n23571 93878\n38515 68603\n10490 34997\n16023 40357\n13744 75297\n33762 57916\n2477 63171\n41030 97347\n11198 19171\n67221 73028\n25280 76305\n4471 12396\n26815 51374\n57134 79252\n38034 80826\n32060 59206\n29032 42433\n78145 90073\n9811 67171\n8621 39719\n23332 58054\n4783 10539\n59532 68237\n20627 93951\n38725 75004\n19298 46490\n86290 96061\n14257 39033\n50105 58461\n3282 86600\n62353 89479\n39433 73746\n86926 95775\n41594 93034\n39298 85289\n10890 86212\n39773 83319\n22599 70398\n10080 19557\n36505 41338\n69285 89529\n42115 72186\n40859 94068\n28214 99335\n9918 99492\n39327 77194\n37559 39174\n13602 78352\n19375 38443\n25988 37173\n23260 59666\n8823 36429\n8813 61368\n24069 79959\n20318 44581\n58939 75221\n49167 97070\n48964 88609\n52746 62189\n39653 41546\n13662 16246\n7816 70209\n55674 79055\n46170 94173\n65041 67026\n8546 47082\n729 823\n87517 88386\n45387 97471\n63009 63056\n61189 77903\n25475 77189\n67725 81923\n17579 50485\n34560 74985\n18593 55891\n12935 95976\n288 73841\n34032 44393\n2044 93975\n31030 48957\n2173 73104\n39996 61382\n54266 84791\n59385 73363\n15866 35954\n31474 82029\n62052 76923\n56325 97307\n4079 90329\n23050 49062\n3489 84913\n24957 61595\n16802 67176\n16949 49607\n8888 57821\n89638 89851\n34278 64069\n11907 22952\n14904 21523\n35004 57330\n20204 59923\n30774 57119\n38066 79215\n12738 42901\n83363 88939\n3097 41439\n69575 85262\n24078 75199\n15802 35277\n19340 59358\n18746 84695\n17498 46157\n9708 58400\n13371 57862\n52386 68071\n59799 77193\n64659 90686\n19337 74556\n64821 73371\n26471 94474\n60058 98840\n13910 81679\n17924 53652\n16936 32540\n62956 75071\n42145 78226\n71062 90887\n67369 81577\n14705 76303\n668 26938\n24845 73640\n39603 42642\n57194 74152\n43346 73497\n58670 91871\n57961 58803\n10778 56396\n37849 71854\n6674 23703\n69740 95306\n49091 85070\n22914 72105\n15026 37527\n18160 42739\n63604 82245\n48868 76395\n4035 12993\n15331 59033\n38543 53074\n64477 85445\n42777 98696\n10126 33124\n11278 32103\n67810 91717\n12247 41387\n47208 74029\n26653 75242\n26211 97957\n17598 43733\n13531 67961\n10346 46562\n17603 20968\n26378 60516\n45356 88440\n64098 72242\n51922 74991\n52108 82950\n9201 85986\n86398 91395\n26314 87354\n4442 32772\n30939 65479\n59825 82802\n82246 92908\n24893 48805\n61721 83037\n3197 68735\n38261 97371\n54760 88594\n49920 77777\n40285 52616\n46495 66487\n14438 17075\n9964 84281\n56080 95872\n27371 72349\n25341 65566\n15502 17626\n6914 35016\n34103 78322\n67968 87885\n25524 37207\n47421 59172\n50481 94170\n52530 88344\n18992 96964\n56880 62704\n8908 70324\n25820 56895\n4182 21789\n93299 93616\n29010 99624\n23684 28379\n54402 75565\n62543 63049\n20598 32327\n24659 39563\n68464 71900\n10148 36366\n35863 70877\n7917 71018\n18215 33888\n33565 66606\n83455 94232\n9356 68188\n24287 35005\n38718 62796\n3517 67366\n50826 60965\n5180 66841\n1931 22887\n37579 82308\n72090 95494\n32273 73691\n5596 84738\n2061 90101\n23722 80052\n37592 54033\n5254 83642\n20403 37516\n60578 99011\n88333 94284\n17168 55623\n69705 97437\n4826 96569\n18142 87827\n56697 57339\n55377 94698\n31244 72419\n45679 77992\n54591 99142\n39232 65318\n18717 44980\n88197 99548\n1303 99499\n63959 82778\n45687 77212\n41053 77556\n4761 14359\n65108 83873\n40058 95100\n9924 79671\n29123 56829\n71229 74483\n29784 55409\n13547 66051\n31374 52380\n61407 70870\n233 72310\n33252 57043\n13760 65688\n17187 62830\n7588 77027\n51806 59032\n32280 58194\n16776 90907\n23708 84355\n982 84910\n70976 75706\n945 59705\n8956 46203\n23314 40837\n6378 62218\n34731 44094\n46331 66123\n73479 79510\n31380 41862\n48196 56518\n47746 99059\n8769 99373\n38045 87605\n24427 38360\n5030 71191\n11578 99948\n19559 51073\n43683 85763\n64720 71385\n30234 59254\n16647 53476\n9952 33282\n28242 55241\n11818 80601\n9995 17678\n23389 49574\n15367 91003\n12559 75791\n60481 70148\n11519 75771\n37669 85925\n18064 96473\n22948 96940\n7434 48172\n1145 77309\n10127 88499\n15451 98741\n14351 14696\n45325 57421\n70827 97049\n40270 59554\n34373 92014\n1982 63536\n3814 48143\n69972 89123\n25280 95632\n30053 52249\n5075 36499\n35059 61812\n2227 3433\n36055 58878\n28376 66468\n7228 35914\n22278 51256\n892 43182\n56726 94757\n47426 66253\n8119 76975\n93691 95236\n56607 63782\n2946 77999\n30570 51799\n13103 26274\n9607 81552\n40619 79250\n10698 59988\n9552 74551\n22318 32337\n45547 77683\n32748 36596\n12591 24036\n32601 79691\n15147 32287\n4200 32208\n32626 39867\n59110 80022\n18700 78278\n33920 73552\n39267 59221\n15227 23003\n20652 97278\n15490 19232\n29887 47314\n35103 59373\n52313 99366\n41401 91456\n17534 48055\n77650 77698\n23620 89924\n16775 22975\n78728 90734\n57073 77060\n22034 23944\n57454 77769\n59528 62643\n809 27480\n21033 51744\n17362 70947\n9512 70178\n40516 66222\n7130 96119\n40146 44699\n62664 78152\n11029 20729\n11972 90467\n8619 52700\n24752 37215\n9973 99587\n27476 97985\n86259 96347\n44913 78459\n13941 21387\n56406 98526\n19008 80300\n3144 68429\n24105 51898\n196 33663\n24955 43924\n46222 60940\n9308 35982\n4624 19434\n18963 67315\n35820 75615\n29774 38912\n44598 72235\n31175 41149\n6691 62070\n16051 83642\n61837 71440\n70922 91313\n74482 85380\n22768 42264\n19069 83074\n6421 33941\n26582 98788\n12644 63086\n60232 74737\n52859 70746\n25100 94295\n71743 86599\n9490 13836\n40308 55710\n50409 71314\n2020 44440\n9738 31662\n38873 54301\n47946 72355\n76314 85327\n37986 99142\n52929 98977\n37166 54736\n66488 78407\n6903 88941\n52788 79685\n17694 81658\n32028 76816\n17184 59820\n65068 79469\n22093 24587\n8583 69214\n19500 78052\n19131 54527\n13284 87284\n39736 83360\n90124 99318\n89563 98790\n2739 19493\n21074 29603\n70025 87921\n67830 86705\n34771 67333\n1968 35492\n13157 94420\n58706 64323\n53554 70989\n72491 78570\n28909 84813\n11309 62740\n26389 83319\n40360 52832\n34562 40728\n12576 45998\n10764 31512\n11089 92169\n47349 75308\n16196 74592\n726 88077\n13788 32677\n18875 89347\n28493 77398\n14965 16314\n67478 79539\n3903 20624\n45488 88474\n4310 43183\n54315 82760\n1268 12561\n36271 84375\n40525 69448\n195 70248\n72906 74314\n26565 44058\n48985 89309\n9629 77993\n12837 85914\n220 15564\n48539 50601\n15496 97048\n34482 54624\n1007 30220\n13962 19663\n43092 55065\n23709 62494\n64877 69237\n34048 93068\n21933 75596\n21659 53428\n17683 98158\n33171 78470\n38571 41327\n54295 90946\n7127 36255\n21231 82913\n84133 93832\n17715 45658\n37088 76258\n10707 73218\n10981 30703\n29300 80549\n78679 98770\n29230 45263\n63175 80059\n11154 23352\n2790 50348\n6897 84961\n25722 86399\n38727 77698\n4173 69732\n63353 75123\n65101 77306\n58686 81013\n61049 96728\n37219 50794\n16105 31674\n23677 73805\n18534 31943\n29210 73322\n37930 60481\n11460 53844\n7527 59284\n7702 58138\n13278 55805\n17992 78207\n24207 86765\n40091 96676\n22223 39193\n30080 60470\n12040 71486\n28163 88671\n25040 53727\n48936 63298\n23231 25394\n27705 45473\n23685 82158\n29578 70407\n25135 39067\n68450 98270\n36942 94148\n18277 72474\n69268 91328\n64963 69363\n54467 72154\n36179 77260\n84310 96918\n40761 75648\n777 35330\n60558 88368\n27718 69427\n19773 25623\n41616 66707\n7314 47495\n69187 69667\n5115 31431\n46934 55774\n41359 70306\n13156 78295\n33395 95229\n5108 71132\n22355 71424\n40893 46047\n53968 67749\n36988 84531\n57879 66055\n41065 93762\n45356 81263\n29280 80247\n22287 84782\n37937 91088\n73971 78243\n53608 55411\n77663 98357\n86578 98489\n35296 75166\n81619 85275\n15277 48392\n5124 43555\n11219 42955\n44402 90838\n64815 81197\n16226 69248\n59591 97187\n56312 95509\n25232 59701\n37430 62543\n54602 75717\n11142 55661\n40966 63225\n7980 8282\n5250 62464\n34087 87887\n14712 26190\n92479 94031\n4704 71617\n54506 75294\n94 63714\n28824 30620\n14493 78619\n2835 31977\n3394 13895\n56756 76743\n48451 59628\n13518 88582\n56245 77037\n911 39013\n39195 90701\n29956 95613\n8900 26154\n72923 93206\n55220 84473\n65662 79635\n75253 84770\n8423 55755\n18049 30785\n48711 72020\n2374 75475\n83115 95245\n3175 62226\n25953 52123\n2789 46334\n8185 17189\n18364 28605\n70414 74345\n22890 57755\n12261 42975\n67038 77631\n61111 64976\n85976 99914\n8519 58340\n8538 61848\n48471 89941\n51690 94349\n18555 70304\n95242 95333\n69751 86921\n1609 70508\n50800 98634\n58193 82359\n6077 35486\n730 60139\n418 49579\n25865 81345\n71013 95268\n45145 63162\n18305 68160\n2857 99284\n67244 98272\n73713 79145\n3027 49668\n23888 76529\n61650 68708\n8593 37718\n7907 61045\n43399 52191\n25678 62702\n5197 19709\n68763 91100\n53341 63884\n39033 69592\n61128 82265\n9924 85890\n19946 41526\n17802 63804\n41139 69230\n17525 34321\n21809 35627\n68047 68332\n8678 69412\n4528 51407\n35256 71550\n27640 73244\n38159 63298\n66819 75527\n4783 31987\n3726 8549\n62979 63120\n11142 92693\n79207 88958\n46435 95490\n45333 84127\n95406 95787\n49619 66500\n3339 57153\n55389 91579\n4353 28141\n71640 88711\n34265 60065\n10955 75711\n36073 66713\n42488 88552\n53918 79573\n60140 81134\n65491 91998\n7173 86839\n78726 88708\n59570 90373\n43102 78623\n8928 46330\n6476 62997\n5330 6258\n12134 31255\n8362 53178\n19458 68785\n14507 24791\n67714 80781\n28587 29299\n2510 57603\n39152 68067\n48984 54725\n67505 89368\n21708 90737\n48519 93933\n29086 86252\n2797 36819\n25353 35554\n32617 73177\n43760 82737\n70156 92974\n3370 60406\n2681 95171\n15515 49299\n75071 87059\n57237 78172\n36229 56148\n51515 82482\n33059 44829\n45798 88220\n12863 64600\n41648 53614\n54186 71713\n28298 68270\n41858 98468\n55804 63206\n45159 88601\n8136 27534\n1328 31650\n52490 91744\n21602 34146\n31815 45907\n41538 91044\n47920 94729\n29902 62778\n14560 63815\n32947 95790\n64795 84185\n16071 16757\n41043 92890\n85042 85237\n309 66202\n60051 66822\n30075 92915\n56878 72874\n48133 48372\n17490 85533\n44536 60160\n22083 66618\n14937 52428\n76482 85632\n21667 44381\n5507 44823\n4123 15706\n21127 73917\n3886 14081\n19545 98154\n67150 69535\n42409 95382\n73934 77507\n81240 90926\n24439 76786\n36071 64910\n79123 88372\n39454 59051\n21420 54562\n19576 94482\n5048 43015\n600 13773\n3259 21034\n16032 43083\n39532 88182\n20148 49387\n84985 87136\n20332 29262\n30622 77789\n8805 75326\n29318 49649\n26230 84211\n6447 72013\n62270 92168\n71237 81762\n39832 93905\n9336 22846\n6094 47269\n8471 98938\n25360 55009\n20862 83069\n25854 71060\n75545 87887\n6630 51206\n35236 94118\n61902 77489\n17304 87659\n32109 87531\n60028 97809\n3095 4209\n58255 77007\n58262 77052\n32134 61251\n28834 59970\n45479 78385\n56992 80078\n6438 55817\n63513 99017\n29110 30918\n13626 23892\n44758 71916\n2887 89178\n72470 78426\n41258 99023\n22333 54552\n44324 46644\n31376 41980\n7305 45995\n9266 12095\n50130 70360\n39935 51225\n52698 66737\n7182 64764\n12722 62929\n31023 96962\n15929 37618\n36377 93854\n485 26971\n46425 47386\n25394 86777\n65711 72598\n64685 75463\n29532 71968\n49617 73838\n59108 62432\n18824 32306\n41983 61444\n8514 58204\n37773 97970\n12996 71547\n63093 88778\n46049 65055\n8540 69266\n26774 27022\n39982 64593\n47221 56900\n9165 52275\n2307 56237\n5958 26087\n17278 21453\n69666 79447\n22366 50435\n69034 95763\n22383 85611\n46084 72070\n30533 99177\n40939 98117\n46486 93767\n7922 38834\n17013 80078\n69497 73324\n3695 46245\n70001 86699\n69567 71708\n12947 84959\n15360 65869\n70178 76676\n6337 65688\n7021 64350\n5331 91306\n41471 75778\n9663 47442\n1875 14237\n723 17153\n7037 37688\n76185 87047\n61125 86075\n51027 97549\n17390 85254\n17820 84838\n25103 58164\n54954 80764\n29809 96944\n1490 4872\n60597 61247\n4126 25915\n5236 74365\n13223 24021\n49672 56846\n10413 97309\n8249 66412\n21029 48402\n68779 83066\n43042 65861\n2442 50728\n59087 81597\n36254 48781\n52313 89876\n14703 42559\n6937 95510\n47792 52486\n53001 97951\n26300 59115\n64880 79730\n192 44772\n30876 67590\n55106 70787\n73975 75727\n39798 89859\n57846 81205\n39129 85771\n29113 50754\n13323 92282\n74567 75404\n69486 97230\n4607 24536\n8386 24664\n42600 70058\n65671 76430\n32051 37182\n11295 57831\n71834 72727\n52664 76141\n30877 72384\n30236 98590\n77754 94080\n29275 54263\n13102 60132\n45592 47317\n37836 58593\n128 65438\n23817 43649\n6663 31704\n33573 90703\n18064 90291\n13388 65417\n18687 35847\n4964 39677\n45548 71694\n59486 70329\n3369 93689\n15020 77933\n39810 62334\n72582 82194\n86419 95970\n10620 59866\n56844 59858\n23163 39480\n23422 93439\n31360 31402\n620 17071\n28748 56111\n14992 15246\n83477 84574\n87221 98838\n28465 36328\n12368 76317\n40322 84746\n57470 83173\n21074 33909\n22176 62418\n18925 63525\n84810 85998\n29964 64812\n24249 46202\n33145 91644\n34542 50418\n2642 80777\n72034 84368\n63898 79161\n17256 47488\n44981 92820\n3260 18657\n11454 63651\n19522 23641\n24545 41772\n48834 57176\n20322 45497\n83338 84964\n80802 95960\n3813 91192\n15089 60499\n13676 74859\n19411 30399\n10517 84803\n64559 95622\n2165 29875\n78520 85208\n14130 98698\n51795 61381\n75475 96804\n24494 40705\n58035 72563\n16233 45027\n19100 75193\n49319 77102\n13538 93455\n62874 84428\n5319 58522\n65410 80217\n10514 58277\n14030 31540\n57244 82532\n89115 95970\n12610 50341\n52672 65936\n13253 35231\n19985 37101\n27079 89953\n89424 90338\n41928 56755\n3852 29587\n8922 38933\n66152 84475\n40765 60874\n81354 99935\n11725 76947\n30236 91791\n1270 33792\n14595 84620\n27555 35172\n29985 93930\n43212 43942\n62956 66545\n36431 73352\n3858 75638\n40041 64870\n35251 77874\n26255 41238\n91091 93101\n23050 91723\n14981 86823\n75421 90396\n40349 87423\n85794 92927\n1889 56388\n10290 24523\n74175 97849\n18321 86850\n26268 47359\n36523 82168\n55863 77599\n81942 87831\n11927 92525\n38166 83238\n36923 86213\n52110 81365\n5444 62709\n34422 54577\n33925 64677\n19260 70112\n34147 72274\n18756 46840\n945 91017\n37323 68285\n68357 98546\n20549 55771\n81097 91317\n31673 82109\n52421 73812\n80303 87026\n6373 9111\n46965 71377\n4229 56330\n28654 64585\n19923 47325\n36486 79630\n32304 40681\n17194 85437\n10643 82298\n5007 24451\n47658 51039\n15810 56558\n3189 32837\n2784 89335\n14153 28177\n23534 51909\n22209 86665\n78 89354\n8289 57839\n27973 98698\n24782 73101\n2782 52010\n39316 52234\n31764 90581\n25418 46797\n66842 91964\n31034 66958\n11474 94691\n69289 69605\n84691 96651\n22275 96346\n57896 65549\n37793 76127\n41062 97314\n23444 96855\n32237 79042\n54067 93533\n62308 98856\n41318 44879\n35162 61216\n66187 75717\n63169 73129\n76990 88533\n7378 20818\n2118 99085\n42576 92362\n21950 65833\n45892 50505\n41851 55602\n2249 53966\n41622 69001\n37903 80418\n3493 4257\n70065 78033\n26937 40730\n45025 53763\n60337 61637\n67109 69567\n52234 57463\n38943 57022\n34846 65063\n38938 98616\n22268 74030\n77093 79100\n6895 31677\n5141 31363\n40918 58620\n17650 57670\n42125 87009\n68871 87719\n549 44858\n76441 80155\n12898 19952\n15905 16868\n24656 27089\n43345 93565\n61658 76782\n32552 52143\n1423 92757\n55438 90640\n3710 11168\n25801 62412\n88131 94153\n23136 48852\n72478 72727\n9028 84460\n54959 83043\n18518 76263\n23790 78991\n10898 47414\n14075 59576\n84903 88904\n69912 92885\n79415 85384\n28279 75241\n16007 21454\n12398 43852\n24672 86615\n45860 50650\n29977 48408\n72130 72602\n33018 94456\n44701 54929\n20825 85665\n37205 78179\n10362 76625\n70693 71055\n45257 96058\n34300 80808\n55151 85719\n19889 75349\n72133 97049\n22261 76600\n20175 26969\n39668 62281\n33131 93346\n51100 73542\n16187 24627\n54528 99906\n35969 82104\n70170 98021\n17432 51180\n9547 28553\n38934 79632\n46058 53731\n19324 35537\n48153 56579\n71337 83315\n48378 94759\n49559 69349\n37374 87082\n69895 85579\n17283 87925\n17411 93762\n74324 81545\n73169 75567\n942 41770\n12540 24110\n69902 72904\n41904 96052\n25731 58006\n58980 63540\n8986 84432\n26971 54454\n36481 37084\n5538 73970\n69927 77609\n16726 75563\n20565 46944\n34905 96146\n19658 35116\n7366 49551\n40736 56133\n88759 92459\n40181 82808\n9227 24531\n30632 65577\n19616 22529\n73823 98425\n759 82641\n1763 90718\n54399 84806\n2693 73793\n13099 40148\n66636 76984\n36875 96933\n69199 80413\n52031 70833\n55152 58065\n28358 79412\n9252 86664\n15581 49925\n66933 95555\n44118 60247\n36940 89574\n24346 47392\n7066 43800\n50575 92268\n2835 63570\n1795 15595\n47496 71546\n65624 99092\n57996 81438\n64755 70667\n59474 85480\n32230 90875\n7542 74865\n15185 60087\n69722 86342\n47070 83917\n59556 78359\n8 80954\n1351 66946\n21364 39971\n41371 55818\n16756 31584\n22004 67977\n13396 74101\n2241 44250\n12091 49201\n57870 73615\n6345 81400\n31528 79867\n79124 79844\n17370 59965\n11818 86066\n8848 26521\n29899 43705\n59946 84050\n68392 88388\n81700 98052\n15868 91752\n512 79364\n23141 60596\n66092 96334\n29324 61919\n54568 60334\n53315 65814\n59357 92277\n6018 91367\n49867 76608\n13427 31935\n45372 46586\n3543 50084\n52831 63149\n9313 78593\n1999 85380\n22021 53531\n25662 85765\n11535 72439\n15983 57841\n78598 94164\n32371 94876\n8896 94244\n18271 33503\n257 98047\n65551 82451\n10232 30475\n46802 91638\n14035 37709\n45827 86008\n5839 31612\n19819 40895\n30607 94709\n6526 97037\n16401 92424\n37295 50015\n11356 60628\n2556 47142\n9852 92939\n19593 93983\n38477 62743\n6905 77541\n31158 51079\n6832 41427\n29409 90029\n49484 92818\n25008 84110\n83244 92148\n9156 79747\n73286 97775\n85697 94677\n552 14857\n47822 67055\n16539 88274\n550 54315\n36165 72926\n57895 61330\n24454 30563\n868 60374\n21815 55261\n10460 52074\n1400 61653\n25514 59137\n42450 73740\n11809 99490\n34836 35952\n18762 86366\n1387 87961\n74555 80671\n11067 45280\n64035 88610\n87212 93447\n22255 83227\n67373 92004\n3456 65102\n64548 65322\n7013 82809\n48851 66080\n5027 33170\n62368 78176\n61369 71526\n21857 28661\n38086 59516\n21327 89463\n214 3797\n75842 85964\n66309 95465\n55799 86212\n67467 71537\n10202 99722\n68788 72709\n77776 84455\n2411 76375\n10993 96019\n66287 83204\n22718 99361\n11066 28039\n44228 59916\n33305 61018\n26143 79824\n66336 68755\n5070 43947\n86814 90848\n47492 70879\n17884 91478\n16627 32522\n54822 95007\n51551 75691\n36546 67487\n40913 70076\n41395 72110\n58944 85247\n2246 65160\n37325 81367\n84142 85873\n13895 70064\n22975 96221\n28350 86916\n4095 61481\n1101 1186\n37119 38094\n5199 96216\n4901 82362\n27315 67415\n18509 96098\n8737 10624\n28130 72060\n36621 44466\n15944 22847\n36123 66790\n34746 48516\n15064 55697\n28774 35732\n35130 95753\n59825 95286\n57430 96693\n50247 51568\n44339 86832\n13514 70597\n38503 87120\n10563 70759\n24612 44027\n16637 95080\n42089 78046\n79301 88419\n40180 80175\n106 36232\n56175 63609\n5804 20922\n41333 80941\n17129 37114\n63130 73639\n54864 71781\n38422 75717\n70737 78940\n50024 71384\n37407 88795\n30013 66155\n50244 53595\n65259 87278\n24990 99974\n92046 99990\n20743 30297\n36308 51356\n26489 98413\n6177 20027\n57005 97406\n10330 52867\n34168 76373\n19863 87296\n28655 39146\n107 6697\n7186 23063\n14278 84278\n76964 95233\n49350 67038\n45687 76203\n55406 91556\n24848 40785\n22403 45159\n3423 79050\n5885 67424\n37645 75078\n54217 91872\n41063 76264\n32210 67085\n13815 22170\n10843 70517\n73363 92101\n60772 95733\n21662 64547\n70775 71324\n53869 64301\n55185 93056\n60131 88705\n3960 54405\n2655 32929\n24948 78763\n87722 90947\n17266 54402\n59096 90085\n20249 55116\n9720 49621\n41157 88128\n45530 48453\n38543 99254\n81422 81685\n30371 35969\n19065 58678\n16581 66943\n276 66716\n273 63106\n79594 87066\n67959 80822\n34363 87644\n1151 21027\n27122 85385\n2059 66758\n42994 58987\n32919 75268\n47438 69792\n39247 51282\n20082 56362\n49815 54522\n21959 59173\n29 94742\n11998 81836\n31992 68185\n31521 54981\n22412 50709\n15879 38302\n5172 74717\n35236 53584\n18629 56089\n62808 67728\n53135 58406\n12478 25170\n31820 95905\n980 15814\n502 2798\n8630 98065\n40560 68522\n15319 79647\n8908 90698\n24120 76911\n21120 72528\n39221 59587\n23764 72542\n40519 57821\n13957 49704\n27915 88206\n78392 83030\n27486 96914\n7022 15877\n24467 33311\n16188 58190\n6960 72375\n37425 90750\n80508 82642\n68213 86994\n2985 25658\n12396 86266\n47953 89689\n42807 90094\n54203 73222\n14844 57697\n49444 60476\n3704 8235\n69173 87528\n38862 92770\n12953 66484\n18102 59218\n59058 78236\n41563 58529\n4547 7873\n56938 85593\n15825 33622\n15020 43991\n39639 45625\n37290 76967\n65123 76705\n49111 63675\n2664 58212\n18543 91919\n31884 81401\n32352 80827\n81827 97083\n46313 77991\n9532 57042\n22953 77175\n37508 43444\n81759 91839\n7409 30400\n21079 87284\n1785 59277\n13832 86203\n29838 91612\n46115 49466\n39215 48051\n69088 95719\n54478 64216\n88165 89440\n19282 83569\n11429 53126\n25781 68000\n33456 41366\n10447 21189\n12098 49201\n23022 37422\n22857 36617\n15296 87683\n56181 95578\n3667 70221\n36319 48780\n47156 85726\n39945 86300\n64326 70417\n75983 92168\n2234 62565\n13829 51653\n572 17821\n11025 43846\n72810 79434\n12967 97586\n64926 73556\n54284 71360\n59551 76905\n2458 94763\n20812 58661\n64430 67436\n28571 29406\n33395 94125\n73587 99738\n2249 88725\n9750 81802\n26022 52229\n55509 67780\n10417 90503\n80692 91628\n59885 63322\n18697 78998\n20139 42416\n6793 36295\n3005 87544\n810 11083\n65766 96626\n30361 87141\n4697 55849\n35511 54252\n10190 14048\n33547 52265\n28867 35634\n53952 84134\n22651 28827\n37729 67013\n13333 31097\n23779 85669\n58277 83024\n4665 90837\n68475 82928\n64487 67781\n19913 25654\n18824 37194\n29445 40293\n43155 56199\n31234 58559\n14990 57666\n9493 37076\n1743 94115\n50291 86724\n70716 96646\n8520 66699\n32726 64501\n32227 45072\n11497 16826\n27861 37178\n22713 76155\n45014 57574\n42868 50469\n71448 96501\n15598 51648\n35359 71290\n32013 88826\n55992 94648\n79624 86092\n12194 81011\n8644 94198\n73578 86334\n20511 23160\n30714 81665\n10098 71472\n17031 50378\n17704 83220\n36810 64807\n57551 74175\n32956 77903\n54162 64737\n18436 68236\n87620 95909\n52102 89935\n14558 28296\n52122 67192\n37389 39710\n9119 27628\n38160 96648\n2409 89476\n5072 92741\n60904 74316\n29828 42885\n3421 82037\n44442 79768\n63174 74952\n5278 25274\n72998 91987\n46468 58902\n50966 55248\n59985 65145\n10318 83380\n32123 35078\n57867 92651\n12721 29600\n39530 96315\n37294 94120\n52006 81439\n34650 93094\n46002 98250\n33583 35604\n64536 70230\n68055 80279\n41943 74043\n24665 92920\n84329 88969\n80879 87705\n26485 37011\n34944 50795\n2200 97041\n50959 94362\n20494 30962\n3926 28683\n52687 56167\n38264 70955\n61608 84067\n4979 76340\n10518 85932\n1796 47084\n47539 68781\n690 67184\n10536 85808\n35163 45149\n18783 48389\n1349 62704\n14771 63274\n42310 92766\n18494 99487\n95070 99621\n23964 55874\n11361 88218\n4150 55406\n25637 94070\n54266 98477\n38016 53479\n15884 17338\n19976 31117\n22814 73612\n90904 91202\n9366 40512\n18638 37907\n72149 95026\n24464 91678\n31944 78243\n18895 73494\n27375 54831\n56507 65592\n8284 22611\n4824 15152\n22890 59203\n40644 60123\n5850 12683\n5982 34588\n11005 27499\n41520 54148\n15481 46182\n47491 77886\n71471 73773\n96381 98410\n10379 70374\n13069 27439\n14353 48920\n1148 84746\n7597 47755\n10770 65065\n6758 79061\n69430 85954\n8110 59464\n54445 85369\n62991 81139\n41843 44866\n234 40515\n4703 33612\n62225 93054\n6648 45700\n52700 81214\n60061 60296\n21767 94062\n10369 67416\n3841 13805\n49592 82783\n75508 96196\n21782 54669\n43329 43841\n8992 99768\n35609 97952\n39026 58709\n51099 94734\n93904 95037\n10614 52376\n4331 60868\n55033 71224\n3591 29843\n30906 66048\n5692 65789\n68560 72970\n450 79049\n43695 69818\n42027 54576\n20157 67152\n125 84450\n15066 72137\n66022 97525\n17271 67016\n23762 42675\n48400 95587\n61486 72062\n8130 39592\n3096 67330\n9282 97205\n33579 94604\n3944 56480\n20046 68312\n90984 95350\n7116 28893\n78641 99449\n4562 76219\n27946 84839\n7772 70308\n7187 16736\n34486 39802\n39405 60177\n29852 45154\n57073 78858\n32949 83204\n1203 82449\n37509 60029\n86091 87994\n87270 90513\n43800 69586\n5883 17794\n24465 58438\n27641 46347\n11505 87117\n8968 81223\n50953 86728\n15017 53244\n53105 58471\n7889 70451\n12856 19353\n39841 49887\n48370 90769\n14780 81582\n32802 99956\n38904 74984\n2828 99718\n52114 62935\n13122 66582\n16453 39596\n55662 79331\n44910 90788\n15248 75978\n35109 92240\n18735 20184\n12019 89716\n42328 51565\n18195 73174\n23745 25936\n43503 84582\n47068 67405\n26746 39407\n86437 89811\n30033 59723\n26429 92428\n30393 54842\n42404 55782\n13566 29791\n78104 99241\n27956 39208\n73690 80508\n10781 76135\n44374 48196\n52439 57027\n48327 95372\n14532 87159\n5855 16575\n38692 49201\n81600 94264\n58722 86200\n13097 93982\n61226 96638\n57780 76989\n21738 28967\n35334 66358\n45739 52570\n3432 64257\n8035 24790\n57423 71765\n58071 89343\n35695 69020\n65976 84318\n4447 66218\n13693 44522\n85002 96919\n78171 79930\n23170 49773\n40748 67492\n44209 52344\n15041 77064\n45846 89503\n79005 96508\n59724 71615\n965 5654\n71838 72920\n74175 75936\n71342 99014\n12875 24815\n26250 57940\n63269 96838\n61485 92847\n704 83805\n68133 74516\n47489 50925\n82756 87309\n72674 83644\n15892 17194\n14291 70762\n47673 97297\n22226 56498\n46802 48179\n76947 84216\n38926 52638\n26649 86248\n1753 36039\n78012 95748\n12657 62333\n15009 24362\n56588 60612\n40792 50261\n25169 43026\n77930 98548\n173 49519\n18960 19179\n1054 39465\n7145 20786\n1600 6194\n52455 66788\n27822 87511\n18459 26523\n11742 71977\n13237 49387\n55896 64556\n9516 17081\n32000 88673\n4970 21662\n10775 58323\n21872 52005\n81202 88610\n66200 84318\n53025 71441\n21941 54059\n41031 98429\n3665 47814\n17485 35379\n24609 45541\n25145 27269\n40532 50603\n72433 81541\n82770 99691\n91650 96913\n63313 80432\n7918 89452\n4019 42512\n21483 30538\n11116 11353\n38799 85940\n5481 40344\n6839 17118\n24079 78171\n74797 83248\n50425 79181\n5753 27392\n71439 92988\n79714 97476\n39314 73417\n14189 46352\n33436 36456\n7189 98069\n64808 95119\n40039 71218\n17756 57785\n19469 23667\n54096 66601\n71800 84285\n2764 39933\n38741 62494\n66224 93502\n61174 97427\n23459 99291\n23246 31387\n1656 32390\n7751 28318\n57734 78100\n14276 50979\n56251 75329\n28426 78560\n49770 61094\n42389 65471\n25601 73344\n44801 98646\n26154 50818\n16482 61819\n53427 72944\n2017 56839\n39987 99010\n69234 76604\n2741 99092\n37477 84065\n12231 55855\n6036 67531\n92802 98123\n10280 83965\n14861 48215\n7621 89688\n7842 62809\n5868 70345\n21137 77199\n11717 76185\n75249 77490\n4890 59440\n3802 20539\n26167 92110\n47786 74823\n69860 76650\n4803 80815\n26648 80622\n69455 74635\n26145 32196\n18192 79936\n19218 42959\n73052 95390\n21837 69502\n18447 98133\n26760 28371\n47835 83236\n37468 81331\n9945 12427\n22752 76348\n32375 47616\n53626 59394\n52433 90072\n21028 56479\n18693 21675\n72427 99918\n8897 47604\n41101 41404\n86746 88382\n56556 74284\n51310 89268\n55727 71218\n62091 79739\n26311 85854\n67092 91125\n45431 56777\n1301 29207\n18212 62335\n28536 57232\n10191 20969\n25559 60041\n9937 32260\n36458 86510\n2635 89830\n2281 34647\n69516 90271\n35924 62281\n6529 60245\n6378 15149\n25652 75218\n48290 90662\n90013 98380\n2474 9854\n8809 30104\n59183 70097\n32367 85870\n27861 46356\n19148 56936\n31859 55607\n13184 65664\n87486 98010\n45642 76918\n56346 70112\n57266 95585\n5986 32961\n2890 95326\n30603 70686\n1634 38797\n43252 54374\n14684 72293\n47605 75810\n75722 88277\n28089 73453\n35221 87884\n61750 64605\n9361 51460\n53685 75238\n51821 65117\n28712 43618\n72831 88545\n32192 44004\n43378 83454\n27313 95499\n23266 34833\n62356 80734\n38187 93729\n51688 85640\n24543 68249\n14178 81174\n20762 52891\n10172 58887\n61201 75971\n57431 91261\n32592 37633\n65603 65940\n28473 87904\n90047 92625\n39345 43316\n53545 85098\n23292 42019\n7524 30933\n97335 98771\n22536 38261\n46507 66242\n46809 81121\n48006 84252\n37466 77386\n351 62853\n24131 83823\n11207 70677\n24340 33819\n29633 80192\n28635 35783\n3043 16974\n21364 46170\n17827 65939\n34091 49610\n53000 71743\n54559 88722\n60147 77708\n24193 69325\n58231 92168\n17228 46083\n31954 70353\n11001 96948\n2599 30509\n19905 89041\n15637 29849\n25403 60274\n14777 97158\n26487 46160\n73363 88092\n36574 53410\n68942 75455\n35173 95048\n31097 40431\n4197 90973\n44644 71311\n25629 54821\n41068 62363\n18413 39408\n26262 53853\n51100 74138\n8348 55049\n82529 97598\n29753 40711\n48427 78533\n24835 96627\n38130 51104\n30650 93080\n68679 69882\n39669 57472\n16450 88005\n34206 78381\n31947 39959\n13772 16446\n49440 61302\n67765 74378\n71531 97820\n3429 26390\n32754 36477\n2080 88771\n15550 27155\n54156 70508\n9361 55087\n36180 55035\n15588 72870\n17567 45416\n4021 14387\n64505 72325\n47371 58400\n33490 36362\n50813 66299\n86960 90391\n16855 57896\n16298 20383\n33077 60574\n13831 79941\n38552 55965\n5167 72913\n33138 56933\n2576 32699\n50390 68418\n23775 31452\n4547 81468\n35767 40087\n32101 85802\n2532 61734\n48868 55803\n13243 82717\n66276 69672\n29198 39361\n12264 75706\n17396 49878\n63734 91793\n5108 46652\n4582 78841\n4608 10985\n27375 37085\n37635 74364\n55114 91963\n21796 36622\n32869 73888\n16215 16726\n91339 97465\n27403 43932\n4817 80055\n34586 78567\n21547 30871\n69416 99699\n15437 72810\n63407 85105\n28292 87734\n56388 69753\n39840 85455\n32206 97232\n3226 86029\n28308 49661\n17408 99822\n92070 99485\n21925 57464\n2362 25337\n22041 91319\n86230 87997\n39504 63041\n3012 29896\n11160 36620\n30661 98125\n1388 11811\n25269 45148\n8472 84516\n21896 36312\n13888 24680\n72899 90636\n46049 92833\n8846 71926\n1850 15226\n44002 75850\n16079 62500\n9845 68177\n15304 78801\n56895 68660\n23965 41752\n65179 70575\n57016 86310\n705 71196\n29396 73132\n10907 67901\n11529 35175\n50853 55515\n34504 49142\n24490 31679\n37732 41449\n38850 53844\n39280 90851\n28770 61429\n45331 86372\n48043 83593\n45309 54076\n27465 37661\n71707 77906\n2374 89367\n16751 71162\n25177 47809\n10069 63917\n12354 33304\n21555 26594\n92917 94088\n48712 99079\n17417 51065\n15967 82873\n53965 76062\n2052 59653\n14556 41698\n41261 43941\n34167 92212\n79081 85201\n44358 85114\n87232 94271\n58376 65262\n59593 91091\n15567 71496\n20396 53658\n27583 36244\n34380 65164\n9593 87111\n38482 42327\n14170 57003\n2151 48464\n58413 97607\n29353 51707\n3511 76748\n4059 35581\n6749 99203\n5877 67247\n41795 45977\n51966 53123\n37659 70104\n7552 95145\n14297 43067\n9509 95562\n58045 96918\n32323 42852\n20362 27178\n53587 64169\n34637 61041\n6961 30223\n11457 19982\n36350 46211\n43404 44462\n46765 99182\n23447 73331\n78147 97817\n38199 65276\n70142 93757\n77543 80891\n25907 73472\n21990 45436\n5652 82848\n30492 51311\n11543 47757\n15369 17301\n68900 92033\n54075 55793\n54276 92128\n1580 54930\n56346 66389\n6330 23506\n19108 64555\n34568 43570\n19181 46687\n50745 87566\n5855 95066\n83513 94014\n2059 5894\n65947 93899\n65407 98150\n51726 96047\n39488 57182\n12437 29455\n15758 62251\n83317 93220\n45859 66140\n85836 98133\n272 51811\n2790 28601\n69471 95206\n35174 85295\n34683 97567\n73209 94976\n86327 87123\n23856 70772\n8021 44975\n50971 61337\n424 18135\n70164 94278\n50608 80964\n57540 77443\n605 67858\n12663 33748\n53585 93477\n48545 75049\n64224 64301\n41109 65661\n44440 45648\n1052 7837\n19736 40539\n8809 79306\n24004 78982\n4026 24809\n41870 92816\n4537 65537\n8931 65573\n60220 91777\n4651 33806\n50446 93297\n5527 71468\n14302 18478\n76931 89239\n63430 97506\n36319 60849\n44877 67135\n64033 91443\n58963 75250\n65999 77434\n23017 68072\n69551 90272\n5411 22406\n53588 66123\n60444 80998\n12580 87516\n7828 44190\n30794 94839\n79331 86971\n1861 29924\n80402 90699\n13403 26241\n27489 94576\n80867 82728\n36096 96307\n5556 99558\n14187 57734\n72897 95811\n5600 41946\n47299 58692\n26188 77812\n50064 87498\n28611 75057\n44874 50667\n61378 92123\n15228 32864\n51302 62383\n9340 97920\n58973 97243\n61167 99961\n33332 71296\n4528 11535\n23595 39448\n4335 80302\n42364 65410\n40102 79050\n56749 90746\n33463 91333\n27021 57159\n30501 75914\n1315 45908\n87707 91168\n16558 25521\n47617 93655\n21756 40576\n16688 25786\n675 32181\n67376 71203\n23710 38013\n71872 84803\n4632 6960\n4324 45664\n46089 96042\n91887 96444\n50997 71002\n27226 41689\n14091 77645\n50553 60340\n49119 81193\n53846 91067\n34096 92321\n54994 79787\n66516 97831\n67025 70040\n52848 95473\n46030 79085\n36436 95528\n64423 85646\n74143 98515\n254 55131\n16986 31378\n3442 29237\n20418 68785\n38671 94917\n5650 23295\n54862 90868\n32582 78268\n39629 46422\n68896 74121\n11463 32899\n75832 81092\n3341 56417\n76617 85726\n36459 40774\n33976 95286\n41862 49089\n25994 43342\n2430 96558\n30140 32203\n78469 97920\n1504 84557\n11049 93135\n43428 53536\n25403 37791\n53408 60746\n19197 67662\n2198 75165\n24207 49615\n42684 74009\n27829 48896\n52441 82513\n29979 56239\n14776 25687\n9541 53152\n12446 46963\n23197 51692\n16950 66263\n4911 13621\n56059 59182\n57536 63639\n56834 66498\n46036 58838\n39054 47815\n70612 70646\n22447 35752\n38144 47760\n59691 82432\n27007 68189\n83923 99259\n18048 70971\n37141 89400\n55669 94749\n21606 53936\n6549 85124\n40680 86959\n56691 86817\n40272 98283\n21936 97078\n42896 47777\n18976 90121\n28133 85525\n19687 69596\n68271 79917\n5818 48126\n78177 82386\n25273 34072\n2366 66917\n3341 70260\n26707 36401\n34173 96452\n5837 32548\n15072 87410\n48647 88969\n51286 52650\n41243 46714\n8073 51243\n1517 18212\n33071 86567\n1341 66433\n66221 82694\n1360 3858\n62769 68706\n45757 82189\n38687 48020\n2326 64606\n34026 98761\n74652 87577\n1926 74143\n52459 89566\n44880 84988\n52867 79937\n35172 99188\n2514 92235\n3940 95700\n8493 87932\n21700 56345\n39587 63753\n41675 52145\n15269 83484\n5791 44741\n25203 51992\n1317 77093\n10353 92605\n38568 97049\n12293 53168\n23905 63377\n67911 100000\n26478 31968\n27731 53463\n31038 54738\n7241 31940\n92105 93423\n23670 55223\n88240 98111\n54987 71842\n45522 93793\n3206 40297\n19525 77260\n4372 16020\n27067 53469\n10809 48092\n35176 73364\n72331 83325\n19122 35105\n5089 75225\n38221 93571\n272 70682\n68279 99382\n34161 89329\n16824 49529\n82892 92932\n44073 53123\n14784 89113\n27913 51624\n13391 88690\n22268 58003\n20349 25131\n22618 41035\n15915 86211\n59156 85468\n20466 78000\n10049 62733\n40444 53287\n30717 83258\n33554 37477\n60932 87706\n22864 81356\n18580 19126\n16418 49729\n76449 91650\n9410 80633\n39444 39984\n96857 97365\n50224 57113\n25562 29620\n41316 44944\n2428 44937\n43843 98629\n93104 96124\n57693 70016\n44371 46345\n42369 57920\n6208 65929\n60811 67926\n15088 51238\n49761 93961\n79095 93766\n61374 94896\n34887 40239\n38024 98221\n35947 93771\n54608 62440\n8559 60341\n140 41868\n9966 13185\n467 35356\n18303 50245\n53371 97949\n1073 17359\n46798 53850\n8293 11426\n53602 62186\n47309 50095\n20279 75982\n81792 88111\n55302 99207\n62349 65201\n2116 3612\n63586 86306\n36509 56204\n33375 66410\n41865 96224\n46441 59928\n56231 76586\n37431 57172\n26019 94509\n48090 66685\n43860 52971\n21905 28735\n17871 28273\n80121 88306\n9586 50203\n39048 90647\n44328 63560\n12018 75582\n32133 75378\n29278 74505\n71239 88523\n19151 30960\n31177 71146\n19040 82574\n2657 74584\n84752 92404\n45423 66969\n32357 38368\n3903 36149\n24187 76368\n45938 60531\n9823 77685\n25967 63038\n3807 71051\n46604 89191\n4957 93639\n27055 74823\n23759 25578\n57974 97853\n33395 42952\n26724 74313\n3590 59292\n61482 68931\n82939 86397\n48484 49695\n54976 90287\n62166 71986\n11243 59159\n62174 86481\n41016 52388\n8961 55697\n37853 46081\n834 52121\n35984 75084\n8901 80865\n4486 62781\n54995 93379\n50699 80478\n76145 96880\n50963 58250\n8080 33544\n29075 86850\n9829 56540\n1086 66386\n1598 71603\n55156 73917\n3486 76660\n33581 60746\n40484 65263\n7001 23890\n58482 87838\n9741 14764\n11032 25886\n1662 81306\n13241 97041\n11845 75263\n42078 75018\n29248 41551\n8057 18867\n10244 98689\n58621 84582\n15921 16485\n1118 7284\n18807 61660\n59748 69797\n51729 55311\n4948 28633\n43340 88258\n93746 95212\n10001 48425\n54170 65309\n10246 14881\n39209 43644\n84244 88523\n30771 39336\n33204 81456\n65639 91492\n40767 45285\n80737 82292\n26653 53122\n37255 83082\n18189 87750\n30122 54741\n38226 60965\n11552 84629\n41791 49251\n42327 71231\n38157 41588\n61071 97482\n55005 73046\n51778 79327\n44753 66331\n7780 36793\n51369 84151\n49036 64438\n52047 83232\n55930 79210\n17748 53929\n35265 36346\n64494 79221\n2579 7072\n48338 76456\n95307 99566\n51295 99825\n26949 57772\n11612 35327\n101 21390\n30483 79977\n912 11160\n32294 98802\n29186 43153\n8370 62038\n31171 40170\n14912 67680\n61593 98640\n91993 99772\n13750 40947\n21852 44048\n67735 68904\n18752 73220\n62829 63198\n35179 76332\n35624 65697\n24435 25669\n19875 65867\n55548 83416\n6334 36309\n23588 74178\n20276 39625\n82262 83295\n60587 86750\n45348 53445\n57202 76867\n52555 76243\n15002 78967\n34512 37230\n86721 96481\n35556 42086\n18370 90001\n48049 89480\n48549 57658\n98856 99281\n25137 29366\n3561 92136\n44806 65801\n78888 83480\n28157 45570\n43159 56408\n48519 95542\n14512 99689\n32108 47002\n20665 88251\n16366 81000\n75214 92539\n12417 17438\n6809 66410\n9597 39517\n6841 65661\n48856 84202\n20429 59364\n47581 78745\n462 33078\n772 95133\n14095 56686\n65437 92359\n80627 97742\n38488 99819\n7853 19343\n80230 99423\n45604 80087\n6401 78062\n23017 48358\n61215 68727\n41535 91944\n55435 90664\n86104 88285\n3407 48260\n13038 51326\n47175 57941\n10930 59838\n48244 81436\n47546 85426\n11096 87139\n55787 62754\n53785 72527\n31107 34868\n37238 57965\n5540 37322\n7175 87934\n1979 74988\n23744 70044\n89 34216\n76051 94508\n29438 89621\n68974 80422\n9259 32179\n76804 98067\n50434 71683\n27453 84292\n40999 80366\n35224 48793\n29983 75809\n6833 88155\n40456 81906\n5481 86764\n27271 84616\n23098 33752\n1626 99981\n860 19028\n5853 16186\n57883 91054\n42669 91690\n94841 95272\n7289 62324\n20837 94574\n16805 23544\n70914 93313\n59242 61047\n72712 77340\n12882 20132\n32462 47494\n12345 61411\n11149 50185\n46836 70209\n28802 91497\n9745 15005\n40479 77982\n29068 67401\n34550 83142\n46651 73037\n40707 47553\n22292 36565\n10379 51862\n21273 65688\n40507 86869\n57303 66883\n7402 90923\n22667 61717\n41467 79894\n23167 34167\n44588 79822\n16586 65990\n32624 64547\n58098 72832\n4584 93218\n49149 76122\n29831 44695\n66412 91727\n40247 47595\n63268 82585\n14141 83348\n34703 66352\n28750 52358\n45906 72141\n18719 59089\n61259 68488\n79775 83085\n32914 51603\n10497 89642\n19617 57666\n2835 24080\n11776 46001\n32826 89638\n1292 13358\n87707 91253\n6965 49627\n13088 14744\n59685 92511\n23883 75503\n1070 30183\n39071 78188\n60708 81512\n5452 97968\n44650 97758\n22766 24590\n35429 98065\n47429 79364\n82396 97605\n1258 62297\n41336 88842\n20420 84897\n18263 67703\n3382 44297\n60331 80443\n5417 58095\n15648 67235\n10278 95683\n3940 44333\n12217 44988\n70474 72190\n44103 89155\n21250 47147\n30105 74141\n10521 50919\n54237 60908\n26049 57523\n67974 78881\n37996 41656\n52258 91364\n30837 87927\n48247 58178\n10321 77644\n82272 99976\n7565 66071\n21673 27548\n12942 63232\n11093 79526\n1545 94952\n20 78940\n42777 69424\n5067 80199\n64783 68310\n37486 63737\n48077 98682\n61174 78955\n18094 42162\n50163 96227\n50620 77263\n51276 62355\n4683 15913\n55095 74538\n39811 61037\n8444 49001\n26432 36626\n41442 93831\n84039 92928\n3621 15334\n36309 62283\n42365 83287\n43768 78617\n36383 75937\n14905 50373\n60942 93837\n9953 58282\n21290 60526\n18877 63738\n5825 37989\n16096 90120\n485 58798\n76812 88716\n28549 95759\n28815 97334\n46541 55361\n48702 65557\n2470 25930\n29759 65234\n26126 70918\n55676 96404\n2921 51972\n7276 33572\n38109 84709\n19624 78688\n246 46346\n8788 27837\n87167 99704\n4409 87025\n15352 44741\n30266 66771\n10346 50562\n31846 47523\n9819 60151\n11546 41131\n34617 72348\n34082 63568\n59175 74732\n70529 72700\n93994 94546\n44100 88007\n45870 74588\n1360 24607\n39505 89498\n31483 46664\n20808 56444\n69760 95366\n5286 25853\n33116 61009\n45541 85197\n9665 20737\n36501 87444\n39963 78753\n48966 94861\n72548 81634\n28739 66423\n18157 55313\n39164 48007\n35290 43738\n39220 65847\n21141 78321\n43594 66404\n23873 97032\n52216 99472\n34020 57693\n67481 95377\n28442 46956\n47042 59582\n37944 67070\n5441 33913\n66151 73916\n39645 83204\n38060 52333\n43833 61665\n10478 66615\n30564 66444\n12617 80933\n18156 72926\n20641 74551\n30795 90778\n21164 82976\n673 22187\n90742 93814\n59320 89538\n45849 63543\n16094 89494\n36641 45165\n11682 65292\n22130 67443\n2833 46725\n46746 60370\n44646 69783\n47577 92415\n21669 25396\n11223 53296\n46432 79156\n36164 55997\n10749 22475\n7151 60084\n31814 36602\n42329 91576\n48167 63828\n39945 78920\n10844 22448\n35717 80149\n17772 91128\n38580 50147\n18079 99316\n3304 89574\n40974 47011\n10869 73823\n76914 84343\n4905 84356\n25888 42010\n73072 96980\n62610 82365\n54984 93620\n62072 78183\n35506 95454\n42868 62155\n9161 96742\n3147 84995\n64248 85451\n86 34686\n63894 89675\n60216 74202\n24955 93038\n51683 51783\n26362 52201\n15139 86430\n8253 67116\n23997 54495\n65588 78097\n25520 32513\n32830 48490\n16337 83124\n11539 14440\n56557 75108\n10735 45059\n86531 93713\n8474 21130\n61109 68737\n68909 87048\n4174 54818\n89873 97854\n3134 95803\n65231 96883\n32019 64690\n19264 49261\n32995 82534\n41206 81826\n32140 59374\n6803 66411\n95998 97718\n77330 98579\n6387 75233\n13835 86910\n24965 80214\n65493 68159\n13455 59518\n4955 67305\n10640 15846\n43685 51625\n72820 87652\n37411 48604\n15761 94369\n60971 87584\n34502 73005\n45728 72880\n77517 83616\n53972 72532\n26025 45942\n65966 68984\n36392 79011\n16905 98947\n35497 72904\n85708 86772\n60202 70724\n6773 15646\n10749 33822\n1243 39503\n38014 58151\n8378 43553\n59916 93383\n22528 47727\n31560 87331\n11495 57124\n39556 50826\n2124 10929\n36813 90223\n4977 52109\n92856 97476\n18469 70296\n30769 85646\n28137 76611\n6320 91649\n20858 88274\n49814 73824\n70785 96657\n80321 89364\n42314 48881\n3660 40223\n7961 71665\n50069 54791\n11022 71297\n26565 43480\n52878 96671\n17433 52485\n71846 77756\n16363 51307\n23508 81332\n23918 49986\n28798 84291\n29565 43793\n52423 97444\n41681 43346\n69191 97492\n26564 63188\n34068 57114\n91965 95395\n37803 92341\n14360 49471\n25602 39733\n89382 95202\n20355 72238\n51403 98462\n25153 91634\n37661 67847\n28534 56165\n91323 97259\n59404 87129\n44081 52987\n15740 30296\n10318 21200\n39374 83042\n16162 86095\n58084 72896\n25424 49292\n40598 97736\n49388 92070\n54045 64213\n86015 87711\n24888 82687\n69153 79401\n746 36383\n12524 32265\n16450 88484\n35740 78356\n49645 87994\n5392 51789\n55642 66902\n59727 82376\n50344 69939\n26743 28449\n32757 45785\n45934 54863\n50939 54597\n673 59392\n34777 77672\n43070 84825\n34611 88524\n801 94689\n16989 70874\n5075 44122\n79822 87729\n26716 52144\n40214 59859\n14224 17009\n1557 96398\n6199 75589\n11784 96568\n8946 69059\n45798 86528\n28312 75258\n45039 63190\n47250 98397\n14431 72380\n66899 88799\n35037 70359\n30947 49703\n3141 99051\n7836 94099\n50766 62359\n34280 99211\n36396 86534\n3624 16561\n27773 48290\n16756 73224\n20428 79930\n45004 94955\n39245 76224\n36691 85600\n73490 83537\n2809 67411\n89162 90959\n21409 44440\n220 15849\n16454 89648\n5951 8100\n1104 37367\n57547 67398\n32015 99850\n20386 80883\n28728 67949\n80910 96359\n3873 7031\n37525 90886\n11454 56830\n18391 39762\n14134 98063\n81694 99808\n10839 67067\n16665 36464\n10240 94664\n9744 31845\n27944 31105\n46989 71358\n86712 88490\n51 70590\n18404 19098\n69457 69650\n26485 97466\n18902 87006\n26581 83499\n58208 69631\n87507 92729\n42885 97855\n7156 52645\n48488 74240\n78342 93095\n25875 49977\n21076 97966\n22416 52087\n8895 13151\n11129 97602\n88495 89984\n75742 90226\n14113 71853\n64122 80846\n49599 83623\n63895 89335\n48975 51168\n1799 26748\n49287 52613\n8093 32955\n24106 80942\n5066 51923\n62326 79147\n83912 86545\n64384 94929\n51590 63258\n19237 58884\n6171 10279\n16461 69378\n48537 97074\n36204 92981\n24530 90187\n1430 51944\n45611 78790\n59629 69702\n28191 84624\n29181 51373\n50729 99676\n45803 86170\n80125 83885\n10083 65382\n34298 91637\n13824 36632\n5961 81772\n33433 82617\n8206 18969\n24240 66357\n48015 66999\n2377 59859\n10251 36937\n59374 59628\n14199 60331\n5528 81123\n24322 71784\n15554 21280\n18668 58800\n33586 83496\n31155 46791\n29168 81796\n62005 89948\n47379 79346\n4946 38075\n29988 81491\n68272 69242\n21852 98885\n5140 65198\n75440 83575\n22061 86759\n3658 83586\n30550 33008\n29713 83793\n64146 77713\n59470 59923\n51704 72543\n6101 56366\n52854 53230\n57743 94384\n16179 20558\n59580 90228\n5978 12156\n53067 78546\n26707 89045\n55448 83914\n15459 74706\n24948 71263\n17008 53221\n88221 90604\n62148 76471\n71113 90536\n62529 66176\n2837 22849\n24556 26542\n5917 20550\n2762 51839\n16250 36898\n33481 90478\n32492 34093\n32939 85548\n75753 90220\n19471 38076\n29697 80529\n1265 36210\n23663 69515\n27858 53813\n37310 38269\n46741 92058\n3307 76447\n20773 98090\n39179 73551\n28226 31679\n12335 51641\n26872 65172\n27778 34957\n53624 87093\n58335 82122\n88543 90375\n19361 69121\n14880 19525\n40282 48846\n69652 77101\n25659 30799\n73553 80218\n75971 86636\n40088 79676\n79353 85226\n36021 39040\n43565 86813\n1206 15469\n7752 56841\n28628 76447\n6433 6652\n37734 85335\n28470 46857\n48659 95905\n16824 53000\n6864 84365\n62825 65434\n30031 97598\n51862 78664\n56384 70536\n10786 16855\n20004 52250\n25098 66315\n53798 67006\n56300 56884\n58927 72555\n8325 51703\n17709 61113\n17507 93416\n68487 76093\n29904 59858\n63401 66095\n73194 99468\n6949 44626\n42863 71944\n66494 72324\n2784 23778\n51592 61826\n15178 20731\n75852 83712\n39433 43347\n13644 88361\n8317 43533\n16511 27498\n51419 72186\n36779 66649\n46724 99596\n8913 45970\n6023 18549\n18921 71257\n35557 94283\n17915 78686\n14925 57351\n40478 55932\n10875 58779\n10043 33030\n23865 66699\n64820 83390\n1341 78602\n70162 95350\n54544 75402\n11356 25148\n37262 99228\n30863 35719\n906 41984\n35598 85747\n21756 57713\n10696 86077\n29921 79939\n59943 97107\n27183 86794\n53891 75528\n75723 92967\n83187 86556\n3616 72696\n569 77256\n9907 42568\n59981 75969\n44380 99529\n62352 96009\n44467 75829\n5521 58055\n31928 43209\n15364 44489\n35248 47376\n42392 96272\n47800 93397\n58254 79137\n56553 74064\n11831 53688\n33483 53922\n734 13766\n25687 80390\n5579 87367\n4968 45102\n15807 63137\n11167 39438\n23900 27402\n28532 96698\n20370 66507\n31671 50349\n9441 50899\n7032 58962\n49717 61074\n31725 55605\n5134 13389\n11900 82502\n40876 45132\n19806 78509\n58302 82350\n35650 75017\n25266 60941\n12725 19044\n73279 88995\n66992 91983\n7556 82863\n22638 49204\n44200 72340\n68338 92198\n30860 43333\n71675 84515\n5568 98393\n11212 20969\n17677 49098\n27459 49436\n13851 29540\n6163 17112\n80314 83018\n5464 43399\n53790 76303\n51436 74430\n80290 92682\n76383 86447\n12466 29347\n16503 84589\n31226 45952\n35081 43141\n39983 68703\n28755 64517\n79012 84947\n3818 73510\n12468 54406\n860 68944\n54011 83435\n40629 94651\n15483 81283\n13339 27751\n35676 91721\n2497 41805\n81945 89358\n37683 49259\n29804 76901\n13198 70753\n24173 93679\n50962 55398\n43903 69684\n88486 99205\n5183 28610\n47372 81170\n31199 73416\n12029 62359\n24738 83527\n1875 76606\n6153 7230\n2686 60330\n18148 75794\n72674 84487\n44039 90795\n17404 28563\n9100 63631\n1860 21827\n8680 63426\n22225 26066\n60404 77480\n52654 76152\n34083 61619\n3444 38254\n6576 44270\n24879 64602\n16360 32480\n90342 94358\n1485 45197\n44701 54784\n25661 73184\n11870 80698\n50108 50271\n30723 63426\n15996 99092\n20422 73894\n38790 87166\n9370 92006\n33529 86394\n6690 9632\n20603 70372\n38461 81607\n19581 66336\n14065 69116\n24780 52729\n46383 64989\n34161 85774\n28209 79353\n47031 62355\n28611 74879\n80068 82079\n34423 54813\n51016 85887\n32211 50975\n26547 89399\n31456 54128\n1472 88249\n10878 51034\n3745 93430\n37960 46138\n11423 63423\n49193 51017\n17724 72809\n47481 97807\n62030 87900\n68871 94551\n24498 43256\n20171 93330\n35569 61072\n26643 90130\n47680 69746\n64827 80443\n26429 62819\n32319 93694\n44881 88633\n31205 98213\n973 68898\n23839 69885\n47459 95274\n39019 40747\n40922 65050\n21054 70295\n73860 90729\n3054 78940\n66687 75022\n66598 82705\n60033 73051\n52344 85150\n1027 12721\n46177 81230\n35364 69438\n52675 69656\n1943 52338\n59837 97085\n19905 20629\n14298 99324\n41856 78060\n71631 82325\n5346 40343\n7444 78581\n1613 26479\n51215 55187\n25973 92169\n27176 84829\n10646 13049\n2847 30717\n1798 34678\n23036 73229\n10831 39479\n47559 77289\n35377 88762\n49841 69606\n29587 91972\n27023 38950\n51970 53404\n38924 71571\n54588 68590\n22582 28941\n35205 92059\n40953 95798\n315 24899\n15334 75565\n11873 97915\n32517 33536\n32773 97846\n54354 56757\n62182 80605\n25944 42543\n44728 94030\n79363 79760\n17240 66758\n20968 80852\n39970 69957\n19848 89750\n2370 30636\n34402 83445\n24954 91725\n12334 87572\n27030 92101\n17619 23721\n6178 50234\n41040 67761\n60934 90714\n38555 77915\n62121 69885\n47915 91462\n30741 49285\n27973 42086\n77005 83830\n88674 96677\n20326 53012\n55803 83873\n52130 76670\n19229 32346\n69597 91200\n58135 63329\n44342 86097\n51566 52930\n3579 42766\n94546 96191\n5458 76902\n31768 34057\n36067 99503\n27865 42301\n90012 94964\n45693 67275\n52002 94818\n37729 69599\n2924 21042\n3591 51912\n654 97367\n62430 70816\n4882 91521\n48333 56382\n14534 34157\n18133 75411\n11729 50394\n62666 64114\n31754 33460\n49488 97353\n25331 86816\n64687 82391\n55361 83009\n2344 37409\n71571 88950\n26820 33410\n16 49221\n30234 65764\n4855 88482\n11168 27406\n23487 59752\n83231 87958\n17130 67663\n68360 79501\n74656 83292\n37605 47682\n5399 48234\n62852 97479\n273 91457\n23654 86693\n9489 96980\n48184 63064\n46177 68672\n54340 94019\n34367 47854\n75557 84585\n25091 61685\n5335 92938\n7272 40499\n44951 72905\n55157 68779\n58320 84420\n86114 94925\n77639 79971\n13976 77120\n36913 39569\n6457 52451\n87615 87667\n32243 64270\n28115 47179\n40157 82121\n22352 74401\n60021 89886\n71648 99092\n37226 94909\n36745 95279\n37401 92919\n17718 34835\n4259 6009\n59895 84234\n21109 97052\n1867 42823\n8248 73597\n59533 86003\n25840 31401\n28393 45201\n7781 9410\n50608 89486\n21556 63205\n56677 92074\n53285 91469\n60645 86500\n65240 96594\n51893 62217\n60337 81873\n36036 56217\n54182 95844\n22334 78105\n46971 54627\n4917 85284\n87984 91302\n8946 74501\n35056 39631\n66209 84463\n67402 74995\n16950 86006\n46043 71846\n68821 77574\n31230 35111\n28305 49931\n2380 84155\n14750 98842\n52959 74437\n58419 64877\n4128 44038\n15614 69688\n46381 72795\n13189 29594\n26392 69959\n42988 85065\n7865 10642\n49488 70615\n34785 46581\n12069 19752\n51461 69841\n89293 93572\n2756 65967\n3598 94186\n8632 58960\n2968 97531\n60101 72171\n15967 50775\n198 9262\n63763 94362\n59640 93229\n41085 45031\n34476 46557\n5302 26091\n48816 67021\n18929 72741\n38361 83691\n42279 69165\n4174 36371\n21870 54298\n37486 47905\n11919 13310\n26776 89727\n44458 52074\n21229 29219\n15989 47021\n44253 76235\n56280 80400\n60567 75119\n35798 36730\n70888 93150\n9352 65894\n42838 52507\n210 63959\n73532 99853\n6891 23367\n13701 22470\n17305 51789\n11432 63178\n27641 92399\n90714 95820\n8691 44322\n54511 61021\n15788 82672\n28531 43711\n24562 65118\n32154 55604\n3079 15767\n54393 99693\n2649 28637\n13013 67564\n12479 44499\n78550 89674\n2088 48799\n59873 66741\n6224 14312\n62305 95380\n10487 49863\n1978 86626\n88452 95580\n35301 77155\n22080 83489\n78144 80501\n59835 68552\n23176 99916\n25986 55974\n36804 38270\n5502 91034\n35215 41913\n75568 98634\n6683 93603\n21061 54640\n26541 50789\n39041 47149\n62742 94114\n84318 96775\n9052 88135\n21010 51096\n28556 67607\n316 19189\n27793 54508\n69891 92201\n4996 63679\n72635 76454\n4413 58881\n25681 84555\n32996 86626\n64148 76887\n7118 9857\n69234 80960\n62542 93155\n70312 96949\n11434 13318\n77085 93531\n72248 94397\n89929 94360\n35725 40099\n10504 93394\n45102 95826\n31515 58387\n33022 89720\n81582 89454\n71337 88320\n5350 73386\n58600 64778\n10435 93907\n20351 95525\n61006 93231\n15024 29446\n23893 63261\n41509 61544\n38503 57261\n54830 94834\n48202 56139\n6189 36265\n14463 51822\n80211 81432\n3703 15848\n59012 78151\n50204 80665\n34494 44564\n38026 54064\n15696 97445\n49413 93865\n13863 59874\n24244 95236\n4125 58157\n13658 92324\n82680 98288\n29816 42406\n39929 49336\n20642 81512\n37104 56296\n40429 64487\n48426 88063\n89060 96183\n5898 75588\n14125 91160\n46014 54003\n4787 94493\n20117 76342\n3454 4052\n41906 83624\n3952 76286\n18773 24366\n2854 53806\n8849 49121\n16002 64405\n30394 70640\n35209 63768\n60670 67270\n22779 44777\n5353 31507\n13976 63749\n50128 52101\n4713 99023\n46945 54293\n31689 93964\n4176 84992\n51082 92448\n2040 12357\n33612 47495\n29348 42359\n79897 85938\n23295 32305\n19995 28264\n73301 79549\n6721 57922\n69099 72671\n11414 56199\n12532 90962\n35760 75581\n44630 74287\n84571 95411\n66494 93089\n25969 78949\n9869 85486\n32886 62177\n2100 90851\n81993 83807\n30044 94756\n6014 34998\n8720 76598\n18431 45303\n24271 41034\n1137 82273\n72819 99587\n57176 99358\n12757 99076\n37151 45226\n14258 36894\n37350 85667\n37332 93579\n19360 20868\n53749 60843\n41369 88762\n7208 72911\n9776 35549\n12830 54571\n23042 92021\n39243 56346\n48269 89979\n50600 94493\n33790 46600\n45671 98215\n18668 40843\n35618 36464\n41075 73240\n48842 96962\n47336 56201\n54854 66871\n20243 89001\n57500 68950\n4016 25851\n66833 88390\n13378 88358\n54030 63801\n7486 50374\n35359 87649\n52553 66083\n1671 32468\n20784 63753\n81090 91731\n8953 84510\n20650 78843\n12876 35362\n61901 64074\n66676 73855\n47902 65689\n15056 81869\n22074 43624\n50835 80503\n48377 85015\n52455 61058\n45378 76929\n20395 70790\n10507 27043\n21352 90912\n34589 57216\n44452 97123\n24279 81769\n1224 70784\n1075 32358\n47195 93063\n2198 13101\n23320 69373\n18119 70059\n45695 89956\n58146 60076\n9095 85228\n1321 72667\n91464 96744\n60848 81949\n17070 17132\n46285 71658\n11979 30313\n62625 67224\n17392 83090\n16756 81606\n72774 97157\n79079 96633\n41807 83266\n10263 65385\n18913 98730\n38681 75295\n4627 46600\n20242 63954\n8693 93567\n66800 84392\n1900 11001\n74263 79388\n34076 69163\n14162 28470\n77815 90665\n26996 76469\n10928 66461\n56235 92313\n26155 80836\n18245 39694\n49086 71301\n61940 65066\n36964 80881\n33911 82615\n27877 46550\n58527 89077\n9655 68585\n2483 74798\n11343 94896\n73501 80576\n60515 83583\n16857 23654\n38595 66755\n76671 88901\n5083 15320\n10310 16736\n68527 84461\n37375 74826\n23192 98291\n6631 79937\n30984 88595\n9895 27638\n34241 81350\n25274 51178\n36852 56346\n42011 71782\n14683 23803\n83461 84514\n46729 96036\n18410 41363\n24338 88962\n30294 33803\n45326 52155\n44459 74135\n1238 80117\n22886 45788\n72495 88206\n26780 94504\n25623 31338\n8476 80604\n4438 49497\n56292 98230\n84436 95088\n2225 6320\n56044 88341\n20101 71562\n60454 88907\n77753 94253\n70106 75625\n76598 79414\n31009 31891\n61746 80521\n4392 15249\n20734 59105\n9762 76365\n73042 90760\n28926 40308\n40720 74437\n64248 98435\n37758 62711\n16555 82035\n11590 21782\n5947 42443\n23751 53016\n17421 26450\n34564 96472\n52776 76596\n46323 46495\n27337 87606\n77049 87503\n31109 31302\n21829 78733\n87506 89930\n1258 40528\n13504 27270\n40667 96177\n24021 34018\n80683 97451\n76797 98594\n44307 62553\n13018 59964\n30451 36779\n51538 68666\n77015 89304\n54830 55799\n62064 76561\n15989 16073\n66243 69689\n38484 44025\n8075 87908\n87220 95461\n18082 27558\n38277 52119\n50234 86391\n46788 66476\n56485 60984\n23180 78838\n7342 96868\n54104 99178\n34641 72241\n18893 73733\n31742 45230\n14044 98851\n31628 35702\n50773 50887\n18764 50904\n13554 95374\n4686 36495\n4484 14697\n10078 87273\n61263 84125\n64079 90487\n27016 99213\n16425 28721\n23165 58519\n52774 86736\n39363 47880\n20426 69285\n31485 80654\n16604 91454\n55514 70745\n48545 65441\n7330 9131\n62443 90657\n36089 37876\n30191 84133\n50886 88363\n36630 54133\n36707 98271\n13327 42888\n34264 57205\n60922 96048\n45229 54836\n32117 73038\n56392 77123\n67418 97109\n73141 80369\n5311 91211\n12387 40495\n59363 90743\n35450 60948\n36276 66194\n30311 66202\n37093 82851\n29478 59533\n3649 79869\n85663 87686\n22624 65905\n42297 54949\n803 72719\n61606 70168\n3987 47166\n257 35173\n89100 91691\n39449 68705\n12162 71291\n2067 25234\n11082 68813\n79906 91653\n36832 37531\n18861 62534\n62513 78961\n73420 97961\n26165 26836\n59177 83301\n21473 69633\n8844 78574\n3338 26161\n8983 51555\n41812 89711\n6000 41046\n52836 71465\n18617 94090\n1192 85924\n14323 48246\n4081 45903\n13776 82054\n9373 67735\n4096 30284\n45002 82939\n50525 70343\n10379 71173\n12863 42769\n16737 56829\n70271 71978\n70938 79303\n70577 86049\n39590 95934\n61854 78387\n3850 79604\n5925 81074\n76428 92739\n56205 76517\n41531 65466\n4475 76091\n55018 69058\n5253 20065\n15837 68576\n58917 72467\n71333 96804\n32673 55260\n24282 85831\n7 97092\n25608 97136\n28107 88225\n62757 66221\n39999 60406\n3614 52848\n57520 67942\n62492 66821\n38823 63911\n66995 89882\n24008 86586\n453 49600\n73782 91407\n63558 98593\n2431 95121\n39258 58870\n48727 70627\n2024 55531\n30187 50998\n8723 88234\n86342 92781\n19672 27172\n76251 85958\n54645 59181\n21837 64692\n29823 71850\n41735 73340\n14339 15895\n61508 86032\n906 97898\n68542 79043\n28086 82920\n30981 58811\n55660 87185\n27692 97398\n58983 91729\n2629 80411\n72961 87047\n6165 76874\n542 91963\n31370 69290\n1674 41952\n43248 53128\n14328 64572\n48200 84804\n8620 66770\n4625 43451\n147 66529\n49983 63051\n24593 46244\n27274 34184\n83133 93279\n62533 87713\n40310 43389\n30901 55282\n27539 35332\n19425 25226\n5479 47803\n12848 53403\n23983 88298\n35999 53058\n47228 66597\n44309 68507\n5041 63469\n12474 34608\n51314 99323\n32136 92475\n71903 94657\n41189 96483\n85020 93363\n20949 82483\n36189 50861\n19572 59594\n37584 38151\n61824 87072\n43051 78306\n78027 99479\n16848 33773\n29040 61642\n24989 45965\n3444 93854\n48862 77526\n58527 81999\n39382 91029\n4638 56621\n37175 51199\n3760 3941\n13316 63671\n14880 83677\n61541 63463\n26184 55638\n48650 95965\n66914 84284\n21730 78598\n56042 98185\n46049 56461\n12956 21417\n74697 77581\n55192 67826\n47929 88516\n39 74044\n56839 61190\n42623 46809\n51287 74122\n24511 49536\n57465 98184\n62144 70549\n37631 54881\n10024 53625\n14899 32833\n41892 75617\n26324 50653\n17347 72733\n21014 57450\n4827 82218\n48503 75430\n40413 89917\n65574 92468\n19033 20682\n37702 49526\n7996 60853\n83872 95203\n20235 20483\n8951 36079\n24439 84344\n47591 52744\n58802 60753\n17941 61714\n13051 64719\n12851 58760\n5710 10500\n11798 58590\n15777 85388\n37431 81849\n60351 77544\n3029 97805\n10975 37686\n72710 76900\n31638 92507\n80288 97297\n48700 78697\n4240 89925\n15441 74095\n56456 73442\n79649 94128\n43295 60802\n16075 26917\n16792 90007\n69654 75104\n35569 67531\n38763 70280\n64483 96930\n29549 69484\n59325 72487\n44508 58714\n76345 85765\n23335 88642\n11918 92206\n14669 70420\n10523 42016\n54404 69107\n28185 41169\n31990 65637\n67642 83608\n63754 77477\n38403 61433\n6611 48912\n15668 69030\n21063 55952\n19655 74993\n6057 77745\n51318 66450\n59958 79512\n45388 75842\n5652 9110\n43231 66643\n387 44141\n14282 38699\n16423 60541\n62278 98871\n22967 38163\n30225 36009\n32371 48010\n80480 98925\n13906 57382\n41631 88308\n64215 88695\n32139 65464\n48514 82559\n14126 19557\n47513 78689\n39221 46965\n80143 93415\n5034 64124\n34427 69222\n10035 86961\n44976 66784\n79347 88958\n44789 88821\n21441 73559\n42842 56635\n870 55722\n9195 63332\n33941 53072\n63705 85140\n2053 23212\n4050 37104\n23979 72547\n17969 52412\n26286 27937\n51561 70792\n13905 22952\n19338 61260\n29205 70748\n35433 76832\n14061 64863\n51404 66975\n32934 89351\n40182 80754\n1878 34943\n33224 61190\n48637 90699\n65751 87969\n37951 72442\n36595 96973\n19273 86576\n49023 81718\n25041 46622\n20454 60095\n33534 86016\n50988 85106\n61762 77217\n56063 74899\n42660 93664\n18817 37587\n33311 79418\n5665 19488\n52830 72285\n30793 86460\n15295 15700\n30362 36630\n1782 26291\n12979 33396\n3046 22706\n14212 44753\n11867 17691\n543 74476\n80325 98721\n41176 47479\n47643 93865\n42072 45967\n3263 35095\n46357 60246\n33835 60292\n25807 40481\n9694 25440\n37016 52792\n67583 92170\n27982 69957\n15462 36458\n36390 92030\n30554 51613\n83593 99110\n47142 94811\n76834 95156\n1090 1511\n19564 71723\n2668 98616\n21695 55562\n29787 67621\n33239 56849\n53205 81024\n62751 95074\n9762 23118\n11276 89818\n25275 33637\n2044 39642\n48548 61669\n11575 34281\n56515 60788\n52362 79896\n32622 36527\n2144 57446\n33370 83665\n45123 58484\n15919 18213\n63154 95213\n95963 99801\n31619 44281\n27151 50217\n49836 94029\n66021 80183\n41454 77903\n9777 84424\n64926 96863\n3033 76968\n93234 98172\n53174 55882\n18685 20207\n26679 61622\n83885 96923\n34260 96767\n63270 74685\n51173 65963\n10506 88441\n1448 59508\n26518 91899\n56746 65633\n5269 69923\n10037 29722\n21398 78653\n73047 83187\n8241 65787\n74130 76580\n39608 96074\n16288 61974\n23902 75560\n21019 48068\n48854 98090\n23771 55404\n48819 81011\n8857 11813\n65669 96363\n38035 43149\n9993 69687\n30850 49446\n1302 85427\n48684 97804\n28288 30441\n70760 72350\n47006 86758\n33807 88744\n34656 97521\n3059 71014\n51583 59730\n85629 97234\n14664 59885\n14678 70230\n34137 67634\n2716 31860\n63199 72579\n19817 39779\n10911 60682\n23736 49885\n29386 65152\n38062 61029\n31358 57780\n51159 51931\n41718 78318\n48488 74886\n6199 97490\n21444 56505\n6406 99623\n34790 90671\n36183 69020\n11638 70124\n64444 83052\n21169 69992\n5551 99003\n48096 81395\n81690 89286\n33533 44313\n2323 76829\n4671 87735\n25296 63094\n54297 59118\n28019 59323\n3472 50712\n2917 63992\n64120 90872\n47363 53840\n62618 70354\n91930 99484\n33210 38825\n3530 3624\n17596 49225\n72078 76944\n10625 57707\n37643 39279\n43822 94138\n26437 28995\n19488 55178\n77847 95773\n6770 73431\n39576 66585\n8664 24838\n39677 67820\n51497 62536\n8568 62832\n23287 50477\n34564 62204\n17377 20570\n27519 42430\n21458 39305\n44045 54355\n18940 94996\n59631 60709\n11154 78423\n31120 33026\n37372 92819\n13592 72211\n37999 70311\n7575 56913\n79592 92170\n27455 84108\n21653 95254\n57816 68534\n39623 90655\n4329 33501\n42530 85278\n6091 56267\n667 57265\n47657 80825\n38038 42949\n19755 76888\n22802 87246\n16171 60037\n25566 95200\n24078 42078\n29522 87284\n61951 74339\n19062 94151\n18657 97413\n48757 86392\n4863 25564\n51636 66697\n31314 46080\n35746 77067\n36141 42334\n60656 67092\n51451 94079\n40839 98921\n34745 94584\n13180 54533\n25382 44711\n36487 67937\n13224 22997\n7585 57414\n26378 53295\n15454 74813\n15739 34144\n57869 89824\n57586 99131\n45156 56754\n7350 72140\n42876 56006\n61265 62997\n72790 97059\n1862 91821\n15958 91079\n5537 86811\n70616 90469\n10151 97802\n71699 97342\n33429 62957\n24270 91901\n17999 46964\n57095 74374\n22872 75260\n40821 88248\n56746 97979\n47045 66702\n40121 61957\n42396 57274\n2178 41237\n47559 48433\n65964 94505\n8562 94191\n39705 94835\n22771 53080\n20446 76983\n45801 66945\n39618 59653\n11928 75678\n789 92770\n29160 65206\n12384 41654\n25296 88111\n4628 46674\n6847 15177\n60620 73146\n45518 81997\n61942 76203\n2086 15360\n23321 45327\n9576 13034\n12345 44255\n71457 82766\n64866 77785\n53958 61411\n88585 90624\n20826 94201\n20484 51250\n1756 55214\n60505 65968\n6610 54852\n77230 99589\n66674 74221\n6466 19142\n21732 74178\n95575 96879\n31289 73603\n17781 29118\n21471 71720\n31084 76558\n47694 70316\n14753 92741\n45063 99685\n23173 30569\n31439 70778\n7160 17327\n37747 47957\n3222 75251\n19150 59537\n10979 64545\n64337 91785\n44744 71345\n22486 87193\n55222 62548\n57235 58519\n25463 38745\n66656 89205\n20029 70559\n52438 73647\n3953 85695\n11440 93876\n61741 77432\n8602 12732\n61654 84913\n30675 47665\n28970 84403\n53084 66976\n53600 66104\n8519 77924\n30893 80747\n16103 46968\n28694 55836\n2955 10359\n6095 50611\n30644 52401\n72467 98538\n59323 69994\n13945 87481\n386 39370\n52298 76090\n44812 83084\n10286 32575\n1964 65837\n16013 39736\n22664 99036\n4798 51251\n5143 80619\n32274 37499\n11186 98729\n74827 93525\n10976 49350\n26997 29161\n49897 99291\n63086 89062\n36297 46389\n47326 57672\n4162 39983\n12397 44602\n7300 61661\n12043 56475\n32035 90652\n18541 93224\n37766 45094\n79591 94262\n63901 90594\n10418 63953\n5243 33175\n15768 79247\n10323 85812\n25345 94025\n33390 51267\n42170 55132\n6283 79399\n16038 38424\n855 6746\n44553 70798\n26290 71594\n44941 90896\n14172 20970\n45921 97474\n82924 84273\n77344 92538\n41472 81896\n54975 83797\n2887 69511\n41249 53432\n14855 14986\n39888 47610\n7967 77641\n61333 85923\n58128 83647\n16703 30075\n33006 40672\n16572 93573\n68955 81983\n62181 67264\n40878 67339\n2684 14649\n2107 99265\n50412 63861\n42337 92735\n62332 91245\n28546 33812\n35691 48458\n87460 96894\n45542 53208\n3678 97248\n24817 24822\n20973 65112\n18389 85863\n66856 85142\n1570 86888\n4436 46190\n44465 71750\n70723 73618\n73470 92094\n82908 95912\n76479 97309\n72661 86935\n17849 46867\n7397 33202\n11576 70416\n34254 85251\n10950 14109\n38555 93288\n15812 66734\n8705 21941\n24658 95588\n28873 32336\n53162 86994\n16195 97457\n30327 97952\n44689 47324\n47595 61113\n22144 71798\n18155 25312\n6173 82109\n2524 61611\n64739 91121\n59718 80301\n14484 23089\n22819 83981\n11583 72627\n4909 96880\n27149 33816\n34874 68062\n47554 85233\n8367 46783\n67484 83354\n50541 88493\n14337 32664\n85474 94042\n27965 72131\n8495 76887\n9692 14833\n49736 97935\n79801 90952\n15814 72531\n4662 95970\n43267 52690\n39376 49586\n20762 41512\n4646 21799\n13020 80462\n8599 16585\n4398 29749\n48816 97553\n59383 70467\n29444 64034\n112 29956\n14953 19569\n29296 49291\n37647 89394\n39802 68424\n69486 97222\n12422 63434\n36763 91840\n30231 48219\n18105 27957\n19213 98997\n63116 70713\n43953 81813\n5324 50844\n18448 97524\n18075 99779\n43447 58375\n57490 95344\n33382 47614\n25155 41348\n52822 92622\n9063 75110\n46900 61659\n5197 89775\n45853 99908\n68028 89741\n4610 28915\n83075 96381\n62584 77758\n17062 71126\n11579 27353\n11368 34857\n35196 82023\n76 73886\n63074 88489\n25021 41668\n37058 57185\n16995 41722\n49568 91268\n301 46524\n8336 77454\n17198 94197\n25830 32547\n58566 75332\n25431 67482\n21931 66460\n3583 53706\n25675 61656\n10028 54140\n33203 93570\n13783 33784\n15356 23086\n35888 48028\n52831 66081\n25961 25970\n72690 75100\n37862 43110\n83952 87946\n27558 98380\n30191 82362\n29610 60387\n11806 82473\n44650 70110\n52885 53041\n17604 70973\n50782 78588\n7000 23538\n520 6455\n74172 85206\n42181 94153\n11393 31416\n30586 80112\n2394 13061\n3647 30067\n15834 48260\n63886 80043\n13487 71381\n7467 64376\n27879 44725\n42153 97273\n74832 81874\n53723 74969\n27181 31570\n14593 57271\n54468 71145\n25869 97048\n21899 39973\n52111 58644\n12006 13815\n13559 86071\n80450 89032\n40366 51026\n30468 76227\n42353 71775\n24550 61025\n58875 92501\n31848 98128\n59721 97663\n89180 95813\n28928 75902\n22276 35950\n44557 81552\n14545 95612\n13323 56071\n34729 55695\n40961 64359\n22426 46848\n59515 63505\n7288 92051\n45737 99157\n26709 63416\n28758 96419\n20243 20690\n10892 28047\n6903 53679\n41227 52827\n43743 78100\n59001 59742\n79974 99881\n36983 98938\n4105 35308\n79130 95420\n3770 10897\n82504 99514\n15946 38603\n14604 77796\n60283 63763\n70417 73046\n57186 61655\n65007 70075\n29608 90457\n15559 60002\n14157 27297\n14269 66994\n10223 22659\n63188 90191\n19732 52131\n4447 5864\n28581 95243\n11298 96307\n42125 85736\n67606 95538\n31373 60835\n50043 81836\n42392 46911\n98054 99539\n47504 81740\n47151 54537\n37872 84002\n48568 62906\n46294 47987\n90325 92660\n5833 11478\n35839 94338\n28388 69059\n21218 49053\n5267 32335\n28882 90333\n2105 36373\n21894 54986\n29332 85130\n36613 77455\n37201 64853\n83381 99759\n19890 99456\n18093 78872\n15044 15206\n14042 32955\n72378 75894\n30556 80920\n59459 69107\n866 74443\n15188 80768\n5681 10692\n26869 41013\n64875 75177\n10880 89173\n7206 16422\n11884 16136\n44674 64391\n1744 74487\n16560 44962\n22697 75126\n56765 86665\n28600 63989\n37168 59998\n10710 36722\n15056 24791\n14224 57267\n1337 99252\n62930 97165\n16245 65261\n8663 36272\n13212 94380\n68591 82661\n85946 99013\n46556 91324\n8202 11022\n48819 96915\n52112 76867\n27300 60458\n23250 97660\n18719 58897\n41602 71552\n31922 38601\n18508 51268\n40152 74287\n25676 77696\n1694 64052\n32019 32254\n61234 74069\n89096 97062\n27087 95216\n8533 74137\n7248 48217\n27969 74219\n45579 49977\n28245 92205\n4440 72251\n7779 59891\n41467 65900\n86387 86771\n16341 37832\n35849 93989\n52507 59976\n35310 79785\n63857 67426\n81357 92256\n22296 83292\n49364 74464\n8646 69157\n57512 68129\n4128 92390\n61341 78301\n41971 71577\n4491 37439\n62464 74384\n10500 96363\n66976 82509\n35868 99248\n37378 72328\n24779 44310\n82271 93381\n89 48323\n16181 97202\n10887 53962\n92386 96696\n59995 70136\n54309 68248\n59083 84620\n47156 68623\n62098 91789\n18935 30102\n39730 57944\n6717 84950\n10927 31124\n6069 23821\n74209 89626\n5246 97286\n6304 52532\n28375 40699\n21925 34556\n31654 97698\n10922 46179\n1904 89790\n20594 54964\n48544 78599\n12831 19899\n20835 47833\n506 7821\n15499 58668\n1150 24704\n52506 70976\n1985 15978\n21377 93197\n14500 21469\n23204 64672\n35205 41517\n22735 41616\n16563 87919\n28294 44725\n13723 28832\n17774 91519\n16666 31207\n22506 75326\n46080 61157\n21347 75710\n91511 94612\n1948 26257\n72645 81835\n50981 64453\n3467 98387\n79534 98568\n28673 90781\n21782 46974\n39769 41406\n4985 20201\n55390 76138\n55095 60345\n2263 5925\n7637 15861\n76144 87292\n74537 88345\n44777 94418\n5551 45679\n20151 91487\n12621 56477\n23446 43862\n1582 52649\n18741 28659\n56264 80572\n3571 78798\n3500 8740\n2514 42797\n11749 68390\n29410 75660\n38621 48854\n23775 79099\n53572 98490\n27150 90413\n7618 26146\n29150 81216\n19786 59127\n81877 82085\n3040 39097\n49357 75366\n6635 21915\n45473 74095\n38866 55370\n62578 86277\n66894 93585\n4042 31021\n31893 95048\n55285 99089\n5190 79244\n11322 27075\n90834 96883\n10691 23439\n4834 27813\n5382 66597\n24268 48455\n45756 82848\n69551 93743\n20877 91646\n3903 5575\n62139 91882\n14756 76817\n57304 83755\n2899 88770\n23785 79224\n12791 82563\n81710 86807\n10987 33160\n18597 56647\n76534 88567\n6186 40267\n49089 61667\n22661 40388\n44268 53416\n31023 33839\n17322 92231\n34833 98011\n34033 66825\n19764 72430\n27269 63839\n85638 94932\n29859 65415\n37833 75790\n35897 74340\n13367 95108\n66053 76882\n34515 90715\n7760 9157\n27792 52491\n74917 91931\n59062 91732\n22075 42027\n52163 67620\n86684 98392\n76003 92492\n34720 77049\n1356 92559\n76480 79232\n37663 38558\n18735 93758\n38629 60130\n39846 94734\n7983 75866\n15417 87059\n68159 72336\n37760 43205\n34623 61697\n32695 80900\n15070 29526\n50948 71062\n12285 16171\n62664 79131\n8426 80263\n63231 70123\n54528 62539\n72074 75754\n58480 86534\n17195 24286\n68907 95603\n29435 39140\n65659 90564\n25297 30470\n9229 19428\n7052 48727\n38723 59065\n28450 64719\n32887 56720\n4274 22462\n34175 89470\n52211 97762\n13996 28022\n3684 10292\n8297 20682\n22843 64063\n13439 99986\n63104 85249\n10125 35632\n8985 28238\n8229 15718\n47209 55103\n33541 83633\n44795 69505\n16369 56190\n30645 58311\n65379 90884\n76770 87601\n2680 7790\n2688 31773\n26524 46388\n55583 92541\n1960 9173\n1618 44749\n66063 90218\n9159 22855\n31708 68769\n51306 53366\n2357 10117\n25418 43718\n8702 35828\n78354 83353\n61316 96375\n36249 77542\n14438 88801\n65784 75227\n24642 63696\n20109 23290\n32137 48134\n22228 97962\n39792 98148\n19140 59962\n81513 98870\n56735 93249\n79660 99522\n53790 68569\n843 26582\n38119 75994\n10900 76657\n49829 81973\n44675 90764\n44535 57749\n6977 9845\n58 22813\n74037 93972\n7180 93042\n1919 47387\n30940 65476\n21741 47606\n28886 44770\n43157 98766\n1794 13599\n28539 84831\n72305 85255\n88391 90530\n11187 33349\n13641 26842\n22835 63388\n58034 85789\n19514 96384\n19440 23937\n3495 62617\n59908 66146\n47059 70579\n16042 85762\n3155 92933\n23299 26016\n34170 77341\n47908 99775\n16538 99725\n35859 93760\n57702 84022\n68091 91647\n42932 61824\n60438 70719\n22107 67319\n89580 99941\n17041 89857\n2595 65458\n7754 59972\n4733 91654\n44818 55023\n51017 51980\n3928 19685\n5166 87430\n15620 80387\n72018 73476\n9875 30127\n44810 53046\n33580 63611\n45 77194\n20848 47414\n43942 66623\n10521 62783\n17393 31956\n20605 85348\n31189 58196\n45235 93367\n13159 39976\n22791 84031\n16836 59319\n12707 76222\n5285 58938\n55231 63546\n46081 72974\n18464 47172\n26950 31255\n36122 80597\n18820 67802\n19130 95118\n29694 37755\n57897 84094\n4220 34889\n36749 72810\n32557 71890\n62679 73415\n56179 94042\n52328 94551\n32121 81268\n6633 65846\n41798 60948\n50427 65808\n9805 27552\n97181 98806\n5146 29970\n26906 40660\n11608 81608\n21492 92820\n53626 59179\n54748 59587\n37808 64640\n46826 69273\n28265 95608\n7866 49158\n11053 66554\n6965 27860\n23508 71786\n49852 77310\n6890 41247\n3086 7208\n25907 55338\n47415 58303\n30461 41470\n39593 70011\n8342 91753\n27105 93912\n42278 54471\n29270 47753\n37696 88180\n46961 99422\n10591 36527\n25210 49604\n3291 46468\n26832 56403\n32192 81738\n28431 78926\n18979 89253\n1146 25557\n74101 97026\n2183 47605\n64053 72260\n33399 66468\n36538 82093\n5730 80368\n7679 48128\n53214 89856\n44002 73194\n23312 31959\n48593 50351\n70834 90165\n91214 96555\n19057 49487\n31133 96011\n31201 38746\n1201 91283\n10296 86438\n34189 94631\n47253 53605\n610 45126\n11971 36538\n37883 92787\n65422 72050\n11785 34138\n4688 65634\n13378 24707\n90700 90905\n18837 60823\n8007 57387\n42089 49243\n73236 85239\n24567 31914\n9621 85198\n68710 72946\n18851 27196\n43431 74210\n85691 97634\n8655 30564\n23004 30696\n54893 97811\n39679 58686\n55957 93517\n8188 71983\n55102 78743\n59760 95585\n25413 59106\n35182 41084\n63824 86035\n56861 92492\n26546 30997\n23420 42928\n22836 74940\n24661 71999\n98418 98608\n27071 60065\n88260 88529\n42908 85718\n18421 38014\n56004 61349\n23085 51827\n125 9106\n2128 17824\n68768 91661\n15484 67846\n79336 89573\n5225 21710\n95987 99067\n30017 43150\n5697 48548\n36598 86915\n64795 69886\n34347 86119\n2167 33784\n20842 58345\n40218 75585\n57219 93399\n25739 64751\n49176 86110\n3820 98784\n26317 42799\n12876 44043\n36170 63825\n31682 55192\n24115 30046\n43792 59842\n11630 86454\n5284 69409\n5494 10217\n31619 47927\n6850 18883\n86548 95110\n13288 88245\n30835 73834\n72227 76903\n25878 53316\n47685 64726\n9373 27545\n81454 90055\n41084 87181\n12020 82124\n70601 77318\n94668 95616\n69831 81497\n35279 86814\n22900 23538\n49699 72571\n41848 58232\n31130 48729\n84446 89954\n18316 69189\n43630 62726\n996 30099\n11785 45746\n55427 56699\n63206 71086\n31846 43642\n65603 99883\n24110 46847\n32531 59260\n3106 63555\n16787 67665\n36244 42059\n67445 71957\n85866 96100\n6111 46810\n1427 61954\n55526 88837\n23147 25345\n56493 60668\n36835 45342\n10068 38120\n59276 71148\n3370 57832\n50124 98224\n51708 55641\n64806 68785\n13300 74033\n65111 80918\n2746 93141\n46605 48868\n6311 79260\n54490 69191\n24020 35743\n19297 61886\n73584 89914\n69450 92878\n39025 58842\n21817 23580\n25582 45499\n28485 80823\n42796 56716\n16165 54081\n17260 38311\n59706 79397\n33489 36437\n74096 98345\n8376 11390\n14478 47155\n7915 48608\n889 54443\n8535 99858\n28316 86787\n63583 65710\n37732 70868\n4843 52711\n65180 79924\n54617 62711\n69190 74883\n53331 61684\n79152 79462\n32316 84045\n59275 71091\n12278 24828\n51966 57914\n38048 63038\n71656 92117\n2818 92162\n51512 57033\n28172 32143\n3928 71104\n12978 95378\n15263 61425\n48287 52270\n2019 47016\n1252 7009\n4825 34506\n29741 52772\n24811 67807\n43692 92974\n40411 68222\n2854 64010\n50891 74917\n31754 60139\n29404 61100\n2638 86796\n62243 76057\n6155 37015\n14610 50278\n73182 92117\n31764 40761\n74527 75467\n973 6480\n21320 37033\n7373 38377\n3231 57509\n78870 81909\n30657 78246\n21671 65005\n24009 90827\n6602 63794\n16722 99586\n59678 65478\n11851 92769\n34223 88048\n65875 94215\n63602 71226\n51071 87626\n27067 34980\n37797 73945\n61865 73674\n9741 68789\n50177 83742\n34016 98040\n17880 71516\n80812 99221\n2954 11072\n22838 58202\n1707 77003\n29932 61547\n67996 91332\n5358 86005\n8276 80839\n10488 37162\n39043 92639\n19471 23055\n38469 63265\n69008 90568\n49399 98684\n54535 66149\n16903 51658\n42383 68723\n51925 98535\n10982 98865\n10295 67910\n4611 69515\n64276 73627\n82247 86642\n38414 64799\n2645 19450\n37141 85668\n28016 62296\n2662 20929\n6304 46093\n27876 66160\n20854 27164\n3777 60285\n10819 23863\n16809 39935\n63870 68340\n3620 81619\n46220 93188\n15205 77563\n1122 47326\n50489 77377\n252 65529\n47026 97250\n26398 45144\n17004 74090\n80646 85118\n29617 46900\n50212 68064\n25691 56139\n42635 44295\n18704 94964\n5044 92683\n1129 56421\n33239 50051\n66360 75095\n36609 75924\n38169 43560\n7271 97552\n10889 46881\n6458 44554\n54184 65113\n9710 40165\n31721 64279\n64447 78640\n12131 68138\n39557 86579\n2883 16995\n16869 53118\n27668 62256\n65394 65488\n5507 68984\n18282 90965\n36281 68662\n189 76373\n3205 62875\n94081 98040\n38687 67580\n15283 80237\n38176 55819\n25288 38043\n24620 83964\n48170 97185\n28553 76745\n23904 51625\n10073 90411\n54574 56937\n38131 52713\n17633 79368\n3239 45333\n94772 96473\n74550 85827\n65640 99087\n21466 64088\n14920 16200\n6025 25169\n33 42364\n39940 65809\n16095 90886\n9883 36762\n16305 21227\n60821 86980\n11024 83571\n71777 99116\n13893 71295\n21452 88693\n28966 72841\n53514 75081\n52843 75955\n22163 32760\n25241 81356\n85492 89046\n7547 85391\n64556 79683\n81098 85274\n45613 73336\n2542 36244\n45170 45177\n19511 82983\n59664 90044\n3137 18737\n2777 60342\n61523 85084\n36630 72241\n39513 64546\n674 62496\n11161 21056\n12825 87558\n44104 77183\n10098 68739\n13462 17373\n50532 76564\n57949 70928\n4412 61059\n14334 39649\n27219 67300\n16365 61454\n82073 91484\n72396 94876\n42605 81241\n51372 53358\n68450 99016\n13885 66686\n7771 46128\n20391 70439\n6681 77629\n55858 63843\n45349 58431\n77327 79073\n47781 50834\n33183 54714\n42059 98081\n7609 45509\n34197 63589\n74257 75640\n90858 94124\n1289 45244\n39466 62071\n56095 58812\n17357 81540\n41381 59935\n48280 77182\n16566 64593\n30013 82787\n18622 75026\n30533 44285\n12983 99340\n35531 84081\n32915 34784\n27879 87353\n15436 43268\n7574 77829\n36488 75513\n38879 41660\n67473 77862\n7863 64582\n42485 82346\n35896 57116\n76347 97659\n15969 55310\n11191 34000\n16497 45134\n11824 39319\n17211 33642\n52404 55485\n26754 66952\n3051 29052\n5439 40671\n16069 59062\n10624 65643\n33582 39763\n40683 66483\n45579 66787\n18798 67362\n5684 56426\n4107 21414\n9523 74254\n33890 61540\n13570 43289\n4714 5104\n453 14293\n12883 16741\n15729 98443\n38280 54437\n4445 82000\n55646 81495\n7493 59413\n2750 83796\n1405 19318\n63541 65215\n70041 89289\n73344 98920\n18148 49383\n2834 97107\n817 22592\n8841 22753\n37603 96066\n66801 73650\n31321 67970\n63333 98864\n80527 95134\n27826 93673\n15253 69160\n41740 84441\n38289 47445\n53499 54919\n12309 48311\n34870 98137\n59520 79800\n40557 86622\n23323 50244\n45785 58964\n49237 81907\n30321 50364\n63637 94788\n9009 33721\n15629 89584\n7758 78290\n44549 84681\n3097 12333\n53846 77340\n4031 9654\n13406 53964\n17198 17748\n752 32037\n25771 41895\n49195 76096\n1401 24681\n29276 84277\n43692 99746\n77827 89881\n14434 18754\n27898 57827\n47675 56880\n49945 90917\n27405 30398\n71341 75274\n50982 71180\n64959 71679\n7367 83194\n26159 99810\n3004 5803\n62183 83912\n55105 68238\n88127 98988\n67106 70527\n25345 78657\n47065 81282\n2563 15100\n40653 84657\n3958 70780\n70093 72062\n71515 77703\n58276 66316\n270 45989\n976 25019\n65805 96793\n17799 53018\n17885 61217\n19590 73516\n9783 76656\n18109 74961\n8796 13813\n42554 61276\n40015 84230\n29335 32665\n7141 71616\n37136 56774\n7061 90782\n40475 97506\n2461 32471\n17386 49611\n55437 56141\n12557 81484\n70679 77047\n14700 37304\n41982 99304\n31386 89401\n17358 68488\n11696 76594\n26085 51154\n72088 77815\n22374 62482\n57378 88984\n13725 31805\n66026 73734\n29607 47662\n6945 56585\n9204 19947\n52136 65540\n9202 17568\n44190 87497\n40186 90572\n7152 65646\n92121 93293\n60226 73733\n57506 99067\n16144 37233\n31505 67200\n13395 50050\n18717 70102\n45278 51496\n5107 64482\n82590 92204\n34579 72737\n37043 93187\n3014 74648\n25173 58384\n12853 22340\n59019 83473\n37928 93267\n1132 86840\n45946 89966\n43084 90446\n13904 26502\n10832 36850\n49604 80241\n4496 41003\n11214 67049\n24899 72466\n8444 87537\n35330 62824\n20007 49950\n53845 74454\n19433 35901\n24268 41765\n22168 60671\n51164 92783\n43380 60330\n16158 38551\n21046 82309\n11347 16820\n32901 68904\n49971 91762\n28006 91751\n79259 92460\n19914 26446\n37386 79395\n11632 36284\n21958 92557\n51560 57478\n27437 37769\n78514 89975\n2309 99468\n29180 54265\n10322 81475\n25366 41531\n85560 97035\n28595 58288\n77409 91688\n2682 39813\n23722 49837\n45468 77842\n656 7115\n30976 50616\n5981 57968\n84584 91360\n68025 91017\n12225 42902\n67839 74398\n64631 74143\n31198 97567\n11362 21204\n41893 58725\n44336 49574\n1384 71803\n12553 85265\n12975 49047\n11169 93752\n16568 51423\n3301 82393\n19633 75877\n11620 33780\n30674 35145\n2900 68096\n59232 72998\n42835 90035\n26068 56144\n76492 82841\n9889 45116\n14976 22210\n55782 61552\n34175 36705\n30954 88736\n43354 66445\n65037 82020\n34709 73445\n21194 50327\n6950 32841\n15417 32708\n26384 90832\n11226 80411\n47708 83838\n33365 43510\n19609 61116\n57827 95635\n73221 86306\n16679 98904\n7764 65270\n35967 82530\n31664 45139\n34501 86021\n19066 69819\n24555 47421\n13103 62119\n2476 63538\n743 15660\n13283 56140\n13418 44790\n52331 62926\n30195 67711\n42075 90052\n46150 90241\n7616 72969\n9802 27297\n19323 91238\n28748 44332\n63877 81218\n13285 56008\n17642 51891\n4327 91572\n22583 24739\n27356 73179\n88143 88410\n76210 80180\n25796 44842\n26305 47328\n5331 5463\n38809 46359\n34512 97017\n27020 87802\n93163 99176\n57117 63028\n53860 66869\n79428 85912\n37720 47041\n54744 84929\n52718 64295\n45337 55627\n27613 36449\n77876 95861\n30243 96288\n48344 96822\n4244 52945\n73200 80957\n17585 90898\n17890 37008\n56191 91453\n90928 97048\n60981 64590\n2374 27525\n68239 79823\n51982 59880\n1343 44039\n30731 37508\n61597 78003\n5460 73897\n37078 84601\n195 36431\n54628 63541\n33437 46281\n7728 36464\n17851 27600\n40866 41724\n47833 85889\n51782 78809\n75553 99203\n50149 94086\n5033 48453\n5889 91828\n9936 73066\n13481 15573\n24513 51362\n26058 67527\n2409 10494\n12726 85122\n5425 38996\n26659 71042\n22361 48545\n4267 31389\n21544 78790\n27333 56684\n12559 44399\n89658 92159\n3121 68093\n79848 84518\n46079 72149\n9805 19709\n43071 87384\n3132 38553\n27783 81804\n33265 33702\n12224 94414\n46061 97416\n43520 54231\n26051 62287\n7116 99105\n36777 44771\n40162 52200\n15872 23581\n14014 27199\n92284 96735\n59917 97235\n7070 18601\n37873 76756\n41601 64198\n1222 63746\n79256 90148\n7373 39988\n85009 94063\n20096 59926\n1668 4687\n46221 50716\n28725 52967\n10531 71065\n57791 63198\n21054 65970\n4733 55957\n33148 59664\n31081 38162\n8890 53919\n19906 57442\n34946 38992\n81077 99525\n74377 75036\n5375 28085\n48909 97651\n7847 66947\n16682 94464\n64060 99688\n2101 33975\n48531 73282\n45463 79156\n3697 53309\n8591 43854\n13373 64744\n50300 71441\n63869 77693\n54922 68419\n69779 96404\n81841 98326\n9441 64476\n25712 55460\n64822 86919\n36950 82527\n32901 78630\n71207 88286\n93765 93914\n86708 97900\n19889 78865\n61315 71684\n35045 80747\n60485 93655\n8861 41384\n20942 39107\n39313 53866\n28852 49088\n8895 81553\n58191 93707\n63800 97653\n63797 85737\n10854 99753\n10508 29237\n83125 96757\n54139 69193\n28577 73857\n30312 79737\n32361 44602\n14867 83499\n29511 60239\n23471 47450\n14290 27332\n70376 87501\n471 94033\n1749 6835\n26794 84397\n16141 69163\n7231 18374\n67184 82445\n28727 35818\n55292 75991\n61648 68525\n23571 30020\n35971 79157\n27131 73152\n45127 92180\n7666 33685\n20809 54984\n43690 59583\n17837 20995\n21760 23186\n14063 50869\n10710 96583\n19144 45629\n23901 60320\n30442 45763\n24019 85353\n15952 23768\n44922 99041\n17397 64258\n9500 44519\n50722 72680\n10703 73938\n6936 81787\n52636 58329\n29829 63091\n51256 79371\n49005 89014\n52869 68118\n6603 17654\n41468 86874\n38314 51345\n19701 70202\n31598 49425\n41733 87191\n46971 69720\n68934 82439\n66706 98742\n43923 90202\n36460 36516\n13730 38719\n2352 71203\n12407 39759\n41231 61260\n15245 50187\n1508 23606\n32807 45879\n680 81190\n10359 95366\n5479 57470\n8498 42880\n64398 79320\n16308 85593\n33208 54959\n41855 78781\n14173 79019\n64181 99932\n77164 98511\n12605 50295\n22627 80539\n13394 37604\n26989 56902\n17187 77458\n33882 67348\n1454 52404\n72190 72777\n11496 50062\n10666 68706\n1850 74997\n6155 34360\n31846 33249\n56252 68297\n33019 84241\n30167 91750\n1004 67381\n552 52493\n17956 50790\n32497 45149\n23655 78711\n37062 78803\n28796 47752\n65264 80388\n35750 57924\n8015 95553\n41317 64283\n36008 98373\n2618 55303\n34915 46694\n13794 73067\n37764 71661\n1929 65982\n36330 74957\n49591 56294\n14761 51744\n16875 27758\n56544 59199\n48153 57968\n7356 18478\n50151 53953\n17764 52811\n5975 18979\n63892 99427\n37003 43303\n27574 28242\n20286 51551\n47694 95798\n26119 93153\n8978 68318\n25788 91943\n17961 38627\n28506 31626\n76781 82564\n42052 88118\n24670 47050\n29311 86221\n50385 69302\n10697 68474\n38213 69368\n33672 71696\n30966 54885\n369 46654\n1122 44664\n54929 93229\n42856 45558\n1126 43760\n8471 35751\n5094 58783\n42825 93394\n52750 99285\n22778 92549\n51187 52305\n13671 36283\n18384 98722\n28824 88890\n17046 17237\n46915 76611\n22466 91266\n47293 57090\n25828 93599\n35813 45426\n48785 66812\n14945 48668\n10613 32566\n63461 72578\n41292 41974\n36196 51271\n10051 70173\n36599 48497\n53956 95689\n38901 42039\n92812 95426\n45505 97117\n53271 88301\n53229 83687\n22391 83053\n38771 87003\n28335 41246\n6507 70111\n65532 94552\n35683 44972\n20535 40129\n46622 68403\n46817 47999\n37547 61068\n69241 76478\n58483 63445\n47785 85267\n35358 58705\n42361 63732\n33566 98661\n48317 86185\n64147 80901\n20900 56945\n4514 23861\n40145 62867\n32630 33609\n10185 72172\n35101 48013\n4861 92732\n12949 91873\n20245 77714\n16710 35661\n29945 87714\n40826 66402\n67686 90174\n74715 99185\n27308 47802\n1593 86603\n33253 51933\n28173 61123\n37783 62482\n26475 97402\n2452 38732\n13513 25492\n5547 24764\n37722 94122\n44815 79208\n57545 89504\n50892 74554\n4330 97125\n25448 70777\n4583 51607\n1364 11339\n5219 88493\n18576 98651\n66667 67661\n55110 87946\n43094 74836\n54638 85665\n36315 87334\n13603 89242\n20622 23558\n30084 56131\n19859 77408\n30591 92393\n3229 87314\n84366 93280\n40649 74123\n56590 66777\n88705 94994\n26591 29332\n170 31177\n49741 96225\n4590 42913\n11699 86947\n15735 42131\n16247 18957\n79949 89491\n52218 62864\n35646 99172\n56620 66764\n531 92072\n91185 92593\n3396 12483\n26222 28089\n413 92815\n7171 96953\n20817 90814\n41438 54903\n55163 62485\n13815 19047\n41033 83514\n15612 30559\n33066 66542\n49297 79002\n57816 70766\n20157 35153\n12489 15793\n26670 69745\n21032 69224\n80102 89855\n35531 58402\n74509 74516\n65507 81339\n51863 66880\n19380 49605\n8751 66243\n23493 89094\n10304 46178\n39724 75462\n55904 61038\n3539 59219\n15059 71416\n43808 64356\n2615 56446\n41690 61450\n79624 92908\n42443 56288\n50293 88547\n660 3839\n18415 43430\n7370 33872\n23046 92019\n85086 85657\n81416 82981\n24372 42728\n4911 67075\n57577 80236\n10447 57029\n77057 97025\n48523 80534\n43834 50342\n27670 86051\n58605 66708\n15228 16822\n24898 92485\n31899 43100\n56457 59047\n74529 89757\n41075 75081\n98670 98817\n11300 82531\n25605 42020\n26676 67219\n21968 35173\n30291 72580\n21809 74886\n24494 25190\n26964 79024\n5554 73445\n1337 52870\n41189 93111\n29651 74578\n38022 81963\n47210 78266\n41136 63933\n20472 40761\n25093 54073\n34397 67831\n13068 78711\n4490 59654\n39312 45470\n17956 74176\n2975 7592\n70970 71257\n56483 77166\n36577 76243\n10028 16892\n19815 60998\n29891 88717\n21181 97932\n4613 68493\n717 45477\n24112 77509\n2791 46366\n60521 86135\n38139 54512\n12713 71154\n19832 85396\n9835 55469\n32855 96243\n33295 87289\n7844 72995\n28594 33774\n13545 35759\n9423 15244\n11595 49457\n40664 76069\n18425 89184\n13566 71109\n2170 27848\n11487 43597\n23097 25188\n42826 78758\n9655 41789\n34316 54932\n39781 51357\n64463 66570\n55184 56660\n61757 89388\n9997 69551\n41284 72391\n83022 98342\n18243 25855\n19621 35159\n40618 78601\n14891 68801\n57442 73259\n14895 14918\n38025 41734\n6111 27681\n57021 95607\n12318 35737\n16207 19501\n66328 95667\n45761 63565\n11176 34432\n61777 99886\n61892 65347\n20825 96274\n75455 88816\n17320 64199\n28882 59663\n94798 99841\n19577 58207\n63081 96230\n49014 78474\n55597 56450\n37405 39194\n50530 85896\n50998 84247\n3379 26259\n19442 36450\n38334 61046\n44193 66522\n25885 95304\n47492 94561\n62414 68403\n26774 35214\n24996 52624\n8424 44064\n31556 50955\n29678 97531\n30782 49297\n50167 79385\n61626 85038\n11106 85863\n856 15013\n9451 62910\n1188 27507\n34307 41675\n26625 79109\n7230 63974\n46890 83348\n78494 93060\n40373 53120\n27845 70195\n29918 94082\n15224 51083\n83149 88328\n8723 54314\n53055 96364\n11957 40119\n3285 77582\n38106 41162\n13220 28971\n19573 78854\n53971 85266\n66445 78417\n40498 80337\n72848 98672\n29882 38895\n49586 93461\n24376 81744\n42194 53065\n35441 81473\n10888 82731\n10894 30527\n25015 25406\n35241 93451\n8574 11195\n68302 77692\n72368 74295\n19599 20596\n32496 32521\n91405 92116\n34342 64846\n56486 69406\n2562 21988\n2489 62015\n3663 67684\n44182 75382\n54153 62693\n18972 21484\n40817 47897\n3125 10311\n15551 59377\n54000 90553\n82413 82799\n23322 84320\n14187 41122\n19347 26710\n1194 57247\n48900 91387\n8174 99281\n16022 74585\n2627 5240\n58293 59648\n5947 75201\n16827 65758\n16897 67554\n20388 45839\n65293 93191\n26920 97435\n11821 68100\n87958 91853\n11788 13530\n22647 55443\n4581 95928\n64713 99403\n45861 85171\n11993 94317\n45112 96541\n44512 91049\n61606 96569\n55580 76452\n36124 38581\n59137 80932\n74433 83753\n76899 94347\n1366 50085\n8615 16514\n23209 41437\n1666 8069\n25686 49258\n35381 94531\n41243 57021\n60644 85862\n25715 97831\n43064 97091\n21190 29102\n56067 88084\n107 84209\n20292 62068\n11744 72490\n24143 51430\n26439 75571\n7115 73963\n56004 88063\n50377 54681\n27048 75814\n77545 98959\n27696 99859\n32271 51095\n17376 20695\n15267 71020\n20261 23368\n4772 88240\n27262 59148\n29698 99610\n43984 54559\n41559 52858\n29184 81077\n41230 85423\n64151 82805\n7973 87799\n92914 97733\n26488 38412\n9744 87142\n5215 5908\n14496 75470\n23239 97997\n44963 52264\n6927 52073\n5520 76775\n8162 70153\n39075 93105\n39060 40497\n53826 68805\n8727 24651\n78126 95689\n897 86290\n65018 83881\n42933 51032\n41065 69308\n94425 94967\n48994 79665\n11315 13486\n7464 53327\n28352 72334\n73215 95826\n37470 90182\n8443 86897\n55049 59640\n25792 57470\n42203 90981\n20671 65052\n15880 60637\n13862 43893\n14715 29130\n4826 93411\n31387 31543\n20806 55471\n31664 86220\n54266 60101\n57837 69991\n42277 78078\n21650 74291\n35954 93775\n5869 78864\n52911 66519\n93191 97430\n14302 79194\n34242 34867\n17550 84233\n25278 85101\n74274 76278\n42470 85399\n3840 68421\n3156 39662\n20297 24665\n22973 44014\n29463 34507\n49756 83950\n24546 41804\n9751 39478\n51084 81186\n34323 88153\n48959 85016\n11348 20661\n21642 66695\n63212 85843\n29294 64593\n8003 95673\n21044 64743\n28007 57990\n14711 66952\n24813 41280\n23353 69602\n44971 89000\n5130 20995\n74922 83657\n54781 66166\n22018 30466\n49319 88291\n57001 68191\n67127 93912\n44340 73985\n19362 60601\n71153 97751\n2966 21232\n77480 79610\n32454 94030\n1015 97125\n13191 83051\n13267 51853\n2955 95422\n50321 91130\n30798 52755\n75401 91806\n46621 61686\n70787 81724\n56299 73250\n76065 88283\n52961 55631\n70604 93418\n6255 32766\n8769 44643\n68657 85136\n63789 96085\n64909 69438\n7694 37827\n41553 88884\n41267 98592\n38000 64998\n13663 66169\n13972 91019\n61762 88975\n51238 77825\n80202 98626\n3079 11566\n40990 65161\n2999 12794\n8531 79181\n11240 96084\n37761 41342\n3334 59497\n42240 44391\n38114 96063\n72033 94213\n27896 63290\n27415 81694\n31520 51850\n53826 99432\n92764 94349\n75749 94301\n56720 75400\n9100 59528\n16579 89484\n40443 74801\n12992 69521\n16127 71830\n18453 44467\n32265 60743\n891 58036\n47283 92959\n50739 58545\n26838 62132\n93148 95703\n19580 68511\n74765 99356\n70672 77274\n33190 60690\n59055 87579\n68455 69674\n13958 98957\n61647 74171\n7454 11846\n53829 78270\n28524 45103\n21006 51193\n10191 47531\n96498 97794\n68520 97722\n56668 94149\n14899 69682\n35067 54834\n1701 22348\n36306 79655\n77412 78424\n45853 80911\n65813 68283\n28232 39374\n33046 95358\n22484 56795\n21996 30204\n15289 68212\n10545 76990\n48746 80338\n15230 39472\n35796 97738\n756 88522\n21721 51970\n14183 96031\n25711 72777\n77721 79198\n52101 59292\n42045 61984\n9754 15127\n11668 22214\n48554 79361\n51095 66071\n48292 78797\n79792 99797\n51512 55565\n17363 98351\n27495 66946\n23576 49474\n8434 67804\n75699 86381\n18522 70423\n29741 47379\n24885 41955\n3451 42094\n100 54739\n7329 35547\n27983 78066\n13320 16738\n75721 85659\n13109 88836\n2994 16008\n70065 79831\n61892 73665\n3580 94353\n12932 70301\n2727 86710\n23924 73782\n36842 55718\n29136 90182\n25734 90664\n15022 97255\n14278 86223\n42024 45329\n37440 53102\n6394 7883\n24930 79770\n39840 90751\n41744 62959\n33443 57036\n25781 53231\n41805 75301\n41208 88653\n24994 25822\n29287 81779\n51003 53530\n8308 24431\n16051 65139\n11391 74415\n2852 42468\n45414 60180\n6545 10577\n3505 14342\n33028 38058\n16941 47150\n26722 42955\n7151 32578\n90046 99119\n23688 74360\n35430 89078\n2025 97676\n40330 42775\n38842 69351\n45737 79738\n14184 23602\n24338 58469\n48044 62756\n35694 47908\n36644 83072\n30605 79792\n60796 82391\n22888 39877\n31150 64497\n31889 89817\n54516 95980\n62201 84559\n45117 81697\n8123 85075\n51365 63814\n43503 85753\n20869 33667\n68136 98412\n56838 83582\n814 80190\n23497 99619\n21457 27763\n23878 32301\n23550 58655\n12291 48034\n3452 5663\n52029 56200\n28248 52214\n19336 68064\n17386 64628\n60310 86443\n35177 60676\n19843 92731\n48411 56833\n17826 23358\n68681 78918\n37653 46539\n59892 91494\n88409 99752\n10991 89220\n50674 81573\n21376 99929\n30736 53514\n2732 24057\n28308 61598\n45462 94267\n61259 94481\n40588 90813\n16265 20941\n30106 78333\n5556 61138\n28683 73005\n4855 22611\n4167 73354\n64093 69033\n35161 54064\n80846 96879\n26626 56397\n71452 81274\n36119 96839\n66529 92727\n45673 91481\n8398 85865\n1453 37359\n20170 36214\n51883 75702\n739 52188\n59987 86149\n35606 40793\n27430 86395\n10514 89495\n48767 66855\n23395 72624\n50385 74378\n8782 14856\n998 50154\n21819 24064\n19861 93880\n8254 45939\n29559 31537\n11741 26922\n35397 51791\n2267 63918\n54429 73877\n47330 62796\n71437 82826\n30409 33743\n7632 51660\n7052 37035\n65729 71047\n51713 92983\n38789 51419\n77484 89571\n56232 95395\n65962 97391\n3203 5599\n16278 85597\n26935 97640\n38459 42420\n53245 90634\n399 18278\n9936 95350\n9510 87954\n62329 98534\n32567 46064\n7288 25752\n7518 91218\n44014 67939\n67 84677\n14638 63483\n23524 30895\n21055 73094\n3777 35819\n86946 99709\n19249 50248\n32861 66710\n58369 63907\n19650 87336\n55566 63006\n37745 99184\n598 25628\n26080 61403\n9506 96094\n46722 79650\n52403 80376\n74427 76324\n4562 37188\n43807 46981\n22128 32582\n68007 75505\n36376 94929\n81972 94700\n66798 98618\n42219 93838\n6717 23043\n6802 43703\n36961 60660\n690 59554\n63 93552\n69014 90075\n15390 40626\n30459 48207\n46381 72042\n42690 73331\n62253 92913\n1254 19418\n20397 36342\n29274 39954\n46299 94849\n25045 92067\n17292 46580\n41050 43469\n5914 86308\n5755 65897\n2274 44902\n60506 82291\n5161 45046\n53749 61197\n27000 96565\n6818 34437\n51698 70764\n61335 95254\n15866 91354\n72745 83168\n12500 99494\n50174 56925\n37397 63253\n30028 77791\n27436 65893\n17714 73912\n65184 85136\n12742 98856\n8235 37892\n26065 31094\n36769 90387\n39229 68488\n83914 93810\n20692 37494\n80141 94927\n6037 28121\n3705 23250\n26777 27663\n8637 61053\n80958 98436\n33426 75658\n7303 82524\n71486 79343\n41285 61902\n27128 67396\n44168 45706\n44813 58483\n65448 82383\n35157 47239\n79725 87890\n15739 62825\n14949 93521\n78446 85254\n72404 97132\n23991 25855\n55371 94164\n63666 68988\n31588 66547\n80011 99850\n28721 80979\n31222 59956\n52018 79115\n19090 98103\n34473 85458\n627 93201\n18484 90646\n42365 96199\n38652 42330\n9502 27452\n38944 52066\n81755 97975\n1268 27766\n25746 86925\n10950 52646\n9975 32060\n2297 89119\n55561 94391\n61987 63056\n80743 87089\n41688 84654\n58061 99149\n14201 93264\n35190 66083\n19663 66503\n51305 58049\n259 26735\n23109 96951\n11939 48057\n12017 58906\n27510 52027\n88867 90456\n6795 50793\n44291 90532\n75360 79180\n55973 93653\n17673 55758\n95516 95685\n34786 84846\n72593 85061\n8474 31342\n89814 94326\n60426 64961\n33002 46459\n21890 90380\n56314 60218\n31081 63457\n229 50331\n17113 73536\n27149 30000\n57700 70927\n43326 88060\n13848 29880\n18259 66784\n27044 52674\n18141 48825\n85941 89801\n37016 77080\n19894 81719\n4638 27241\n26169 62227\n41775 83418\n14090 38175\n32125 61860\n4959 23797\n22541 92891\n42273 61844\n63676 70548\n80887 85889\n9632 39754\n61336 84866\n19591 28079\n18689 24606\n7429 63504\n27742 74389\n64060 86299\n5790 41571\n27674 64229\n67310 92925\n12332 70765\n2482 63351\n43250 51849\n35853 58103\n20430 38942\n5955 63781\n62782 86653\n73127 93068\n69647 77188\n20646 83859\n415 87523\n30393 90674\n13518 57433\n45700 79843\n52309 92498\n22821 77620\n9726 81634\n406 90742\n24878 37349\n67503 75963\n75826 89677\n60826 62145\n29412 86375\n10157 24336\n18842 47074\n2059 35879\n18751 83694\n83605 91927\n38354 92974\n67413 87580\n22915 43886\n55263 56897\n27042 36085\n9599 30888\n4350 4359\n66270 89998\n43285 48236\n10438 63888\n19865 66598\n76460 87712\n52278 83534\n22064 70431\n14222 94292\n82077 98117\n7162 47193\n43838 84956\n8382 90403\n76124 89838\n84166 86778\n96198 98381\n39808 48396\n73999 87487\n7410 79918\n6191 33265\n83545 88489\n42031 66551\n24108 72036\n12105 59919\n4779 37065\n32660 80116\n20595 70497\n10205 38101\n15594 26143\n15748 89068\n6396 45003\n30991 39287\n48010 89281\n90013 98654\n70350 91173\n1647 48863\n10574 98445\n18234 90025\n4151 52740\n27468 90710\n84092 87976\n23180 88797\n14078 82681\n86206 98858\n62242 75498\n3763 87346\n41503 50567\n27632 64262\n10075 77278\n15012 27351\n49944 97357\n64602 91254\n74227 83220\n22165 38732\n48138 60442\n19628 72098\n56500 89240\n27392 27562\n20637 50908\n81164 91170\n20231 83018\n24344 78662\n55306 67271\n12322 69735\n64510 69975\n35829 54183\n15513 16640\n21107 58124\n13375 73166\n33139 56933\n22761 68225\n35902 59598\n28645 57896\n77252 89519\n57332 72356\n13092 92940\n10775 13386\n58666 79128\n27056 93252\n24324 92126\n54052 61225\n69530 71757\n6374 93022\n18667 65376\n67100 85947\n3162 67391\n40808 47107\n14418 84275\n51383 66824\n34647 87009\n14575 44474\n34450 46524\n42546 80700\n58142 95640\n50109 97078\n78730 90298\n449 90155\n67674 71553\n5600 14832\n86462 98744\n16019 63572\n42708 91377\n38918 68184\n41120 41885\n5868 45679\n81295 99024\n35268 55265\n80878 92719\n13118 59834\n12823 51102\n10366 47219\n97106 99935\n8565 17829\n6150 39095\n20280 96232\n28768 80228\n16666 60135\n82995 92920\n33370 78458\n25959 78338\n13057 78688\n50930 86996\n43324 58959\n16543 41137\n91946 92638\n58845 70626\n47943 77856\n177 41370\n25315 95509\n32592 70068\n40775 42539\n38750 71810\n52750 78835\n12439 39384\n11689 91238\n37627 83891\n59269 74994\n69307 93829\n47194 81558\n44258 92665\n3139 23557\n40745 62751\n5757 42334\n28342 50811\n37261 94974\n17690 32601\n19533 94480\n17579 72118\n47416 77879\n59415 88948\n8821 32353\n36885 51562\n12744 69983\n7940 92197\n35935 78854\n75116 88421\n25176 51027\n11681 23016\n32229 87941\n51792 73379\n17472 44321\n32533 51582\n44541 88768\n63224 94131\n12658 94648\n4642 74886\n4507 54761\n46737 48898\n16403 92941\n3430 75024\n72429 76589\n40302 69702\n43958 61688\n98942 99608\n16179 38876\n5365 81813\n37030 39600\n55683 70638\n30116 92425\n30957 45650\n75892 91865\n65902 98365\n35979 41183\n13511 51719\n22056 32518\n18500 75113\n63025 87156\n605 63534\n13176 86407\n20018 91317\n19901 28664\n26436 50699\n2103 60359\n47208 48116\n3380 79357\n11597 86374\n45031 79934\n48677 66578\n18868 22150\n63736 82400\n60955 74493\n24014 59800\n31909 94065\n74307 75117\n20370 54609\n44881 86341\n15276 37717\n48536 80526\n3995 10963\n3419 63319\n43693 58901\n46097 84013\n27668 79256\n21465 51502\n68240 68911\n47037 65587\n35058 98078\n33995 54105\n5411 19447\n10752 74305\n5405 33142\n28957 63528\n16286 68746\n39275 60739\n7095 46509\n39364 46101\n92058 98180\n16045 95642\n25747 28660\n80176 86783\n14591 49148\n15397 50166\n23371 45589\n15906 26003\n18175 69420\n14313 45211\n37494 88671\n4898 51666\n40218 99130\n5160 67223\n3104 91500\n29882 63673\n97703 98199\n16005 83147\n8842 21325\n19998 77845\n41654 43111\n28668 49600\n23094 38734\n8950 83296\n39787 54768\n53271 54866\n22968 66300\n2449 12078\n35658 96953\n51077 67753\n26769 99366\n20545 46155\n15369 99553\n47051 69565\n61950 72136\n47564 87507\n56436 68510\n53020 84626\n43829 73321\n34526 88291\n2109 75838\n21179 24213\n33873 97628\n12635 31211\n4254 78389\n69393 78397\n32242 84907\n49948 90871\n15179 65209\n78924 92691\n65157 88236\n12930 22595\n33398 60360\n22663 42840\n67139 92288\n40450 83032\n8073 92651\n44184 46787\n26035 63169\n11419 12395\n29822 38186\n15641 34997\n31145 92853\n40261 83452\n71152 80554\n39751 65913\n45327 67395\n21866 35920\n31203 44675\n18169 48053\n6054 55255\n19861 54658\n49535 62608\n54412 67271\n24901 73199\n17674 34379\n49284 89854\n7180 95114\n8769 25151\n13867 38961\n7106 73529\n6157 93849\n24916 61290\n46903 47583\n11770 39740\n33212 46808\n43839 55663\n63968 99862\n41136 65956\n27495 71539\n14805 54285\n1431 35631\n12315 86808\n26485 77407\n2067 12374\n34368 85498\n49823 51274\n41992 50088\n44923 87606\n67880 82988\n15395 93207\n25975 37793\n4633 83920\n6337 24685\n38259 82109\n50495 71000\n86108 98136\n3920 85329\n13019 43186\n50513 72214\n3883 80831\n409 42915\n67248 70662\n14353 81120\n31478 48730\n4701 50637\n54561 72592\n25444 45318\n59206 85575\n11447 95851\n85868 97756\n30793 36603\n4240 35039\n40793 64290\n74659 99124\n52247 68130\n57413 63943\n3406 10846\n24859 81936\n25263 44492\n55056 61662\n42629 81065\n67189 99713\n203 54194\n27996 35986\n15640 16700\n68270 79786\n34029 95429\n7764 10926\n13529 34689\n76948 80406\n4105 82647\n41237 94915\n72196 93014\n87056 94892\n4939 45399\n20891 61006\n23623 62422\n50976 67626\n40834 77403\n28001 33082\n42964 97323\n9079 93077\n11060 51155\n36134 52210\n34474 41686\n21619 38501\n72116 82883\n92945 98713\n37890 55984\n787 37664\n16761 26929\n72617 92891\n7801 42460\n62283 85435\n79891 90478\n40025 67041\n14199 97616\n34405 76169\n36383 69158\n40378 88712\n76983 98917\n65266 92424\n397 66235\n28655 62035\n54082 70496\n57379 80653\n5162 44658\n37871 78955\n74944 75912\n87329 92506\n4548 64749\n5240 68770\n34565 88940\n27027 56488\n86581 94886\n53374 80822\n6023 75613\n21964 99310\n13524 13633\n15333 32011\n18165 97108\n55320 94959\n10210 62038\n60994 67195\n34436 65751\n23313 46385\n27444 74142\n21034 86692\n67750 97805\n1686 56163\n30556 85923\n70143 86427\n63294 88537\n51163 89338\n5755 34748\n25640 59652\n14326 49855\n86118 94224\n8811 88251\n27622 55271\n30724 61878\n30430 82881\n46885 79563\n4819 52628\n49898 56848\n41504 94873\n30599 53266\n49534 68314\n30786 38795\n40810 71988\n39084 81375\n51560 51958\n68085 82067\n66374 94702\n30119 51015\n71100 89198\n18484 33045\n56563 97386\n2704 49090\n64896 68172\n46517 48989\n64972 66694\n64310 82288\n2460 87796\n5886 44338\n11128 68774\n30148 67733\n447 6953\n41234 57923\n37036 52736\n3772 47797\n8894 39945\n51848 84224\n35428 85248\n18986 21807\n37539 95792\n69087 70943\n51782 72875\n31181 34222\n31743 50335\n42463 43077\n52333 82601\n6827 43285\n19068 25129\n29446 31528\n152 8237\n58992 75857\n50106 85277\n36358 46210\n35719 90598\n13139 23474\n587 38037\n29846 65225\n9511 50682\n48028 75342\n24104 94779\n36741 45661\n4842 14198\n68645 81083\n35567 51619\n7002 21269\n43208 85155\n61997 79040\n13309 72949\n83612 99711\n47925 92468\n14469 97301\n49576 83611\n2525 78966\n25809 47801\n34323 41394\n14998 38419\n27921 49341\n62465 87898\n13764 54120\n20042 25276\n44558 57271\n12088 40492\n878 91673\n29634 87522\n15514 31616\n18232 19715\n3761 27664\n2570 43327\n41175 99022\n14410 63886\n18967 81282\n68245 99920\n17775 85002\n86249 86329\n34562 47251\n20755 63188\n42293 86014\n26127 60982\n13738 98492\n39476 52876\n43684 70288\n1430 4892\n8691 51161\n61167 76077\n4151 69101\n11742 71658\n33701 69877\n21407 45473\n19150 29375\n66560 77593\n53737 56215\n57019 96998\n11814 95910\n75631 78550\n58082 80715\n10623 76397\n28205 32067\n81111 85748\n11574 26216\n42970 98087\n19031 77812\n5707 57250\n15768 23564\n15903 63248\n55362 81426\n29878 96780\n37075 89435\n47161 60630\n48646 55349\n543 45357\n35078 95955\n59498 82707\n11519 37659\n73815 75670\n31604 95295\n27541 54250\n56362 92756\n15233 31040\n41069 55920\n95747 97367\n44445 90406\n70546 92643\n15829 54926\n56785 93423\n38822 38886\n56555 72391\n47986 52625\n6694 59419\n6282 26190\n59505 88698\n11915 62612\n28057 64188\n38720 71409\n64266 65395\n29568 57588\n52617 77986\n28646 52098\n17037 44877\n10267 23094\n49046 93885\n6304 13375\n4610 91697\n11374 95903\n1746 13376\n9257 30878\n19545 81019\n15389 22165\n32916 61708\n51643 65445\n31790 34985\n7202 48870\n2990 31177\n29970 94402\n35712 83459\n6457 87092\n35198 96935\n42728 68566\n42985 85798\n69317 74184\n60452 95288\n21232 63007\n27556 69697\n27764 82563\n22029 40977\n17586 21381\n73827 83215\n7079 45962\n89393 97067\n9558 22647\n863 50445\n23509 78820\n1836 71404\n41946 82337\n2231 92587\n6597 99391\n37296 85145\n64272 75194\n32454 94890\n44272 79011\n15226 49826\n76259 83406\n40837 43803\n29885 68651\n42614 60165\n87 15268\n44673 49028\n22488 81371\n61196 62690\n19007 47709\n96474 99232\n57688 60705\n31102 43375\n26798 27252\n22516 44071\n27856 66372\n21812 23623\n14165 52233\n83014 98751\n1325 53554\n25533 32802\n68328 89918\n43025 80415\n66971 89935\n51966 73793\n23101 51312\n11915 27111\n15407 24966\n16704 65888\n7564 19442\n29218 98215\n25362 85679\n11706 84924\n14508 42706\n2848 62978\n9101 83874\n50588 75955\n4584 73178\n40174 64476\n37513 81918\n39033 50801\n14729 86061\n50362 98774\n9721 35218\n31261 86397\n1983 92135\n9964 61629\n18671 53342\n30344 35946\n48235 89597\n40372 59766\n53502 60459\n46044 63102\n10124 53822\n6566 75799\n31077 69014\n21021 71540\n37427 88212\n29418 44070\n22737 38250\n44348 72204\n42074 46380\n69373 95619\n41443 79428\n74423 93425\n13430 40841\n35689 71449\n24932 89350\n65531 72991\n54141 61603\n75017 95239\n13524 32592\n24348 35775\n3633 11091\n76028 88747\n22566 94988\n40036 53524\n50041 94526\n192 46337\n36202 71132\n71810 76122\n20684 47391\n34713 46496\n43297 52531\n8937 9086\n16639 62404\n42510 89382\n52254 76015\n2553 4574\n14200 63605\n68319 83497\n16682 34768\n14556 87509\n36446 92845\n7796 86553\n83848 89462\n68572 79479\n478 47733\n8013 85123\n31578 84028\n50359 59688\n25707 66335\n24184 49360\n18557 93825\n17883 92462\n29654 70283\n19913 43226\n1123 56403\n62643 80520\n32585 89541\n15477 46630\n41508 63454\n28691 50962\n27383 86030\n4897 43748\n24667 91270\n37118 81854\n34854 69912\n3245 94571\n46173 53279\n23483 39107\n1230 4742\n30424 53394\n72808 83795\n19334 50511\n68810 82161\n79099 97204\n13547 61997\n21409 79231\n54497 64244\n19607 41763\n50019 56793\n61085 74898\n48569 68615\n87197 99492\n2915 67288\n60795 76522\n53537 77699\n16960 77113\n81945 92714\n47813 69032\n13636 30553\n63037 84522\n26841 71153\n21711 37343\n46041 56136\n6319 76316\n83612 87895\n65766 79211\n10655 87976\n7282 28792\n46208 48853\n31520 67930\n1000 98589\n31599 87143\n40886 70239\n36692 48154\n36622 89198\n61550 95706\n724 90785\n30778 66145\n68689 72198\n25681 76569\n30555 94251\n1131 59224\n70784 99932\n45663 75843\n22960 82410\n1655 93761\n33369 65109\n31 87814\n26579 34004\n74734 77623\n22318 68584\n10601 40209\n34182 70114\n40145 55991\n78849 85196\n27763 90678\n6871 65495\n38254 65384\n6907 99325\n558 80145\n2416 10240\n23343 77054\n84785 86426\n11664 50409\n42580 58011\n29709 61143\n13338 31319\n20575 76924\n20853 44162\n7370 35868\n25421 94955\n10866 78873\n31368 42136\n26020 55662\n37565 53566\n60274 84138\n44789 52081\n66498 70485\n28053 66943\n76985 90616\n7355 78502\n6148 12956\n31525 44332\n12302 24914\n470 74065\n41350 47932\n83394 87830\n43179 66625\n51048 81595\n48776 57004\n35879 94204\n63113 70662\n45930 97291\n46509 98579\n33840 75250\n77934 85932\n4748 24546\n63556 75023\n19477 91227\n52362 58450\n2374 92552\n5597 64507\n43103 50689\n38245 65050\n11192 16940\n23001 34930\n77269 89904\n5939 52590\n22887 92193\n9387 11936\n20586 81868\n2538 51952\n42994 88517\n22752 95133\n60321 96122\n29869 54069\n16943 72169\n11982 12144\n52090 95294\n62902 78417\n52774 64900\n11604 52103\n7361 47234\n58524 74880\n67210 86082\n11225 73447\n21894 51822\n40201 93726\n34118 93782\n34463 63684\n64079 79631\n23938 51628\n14452 62452\n16561 45416\n6292 44454\n70087 95160\n26355 71714\n15418 32959\n7524 95950\n75709 77642\n63249 88918\n34740 83255\n6771 79732\n90869 91646\n55791 89837\n52083 87114\n46742 84359\n19684 92244\n14802 80755\n43467 64554\n82662 99271\n33604 60174\n63386 79807\n6874 45245\n15214 67328\n16048 84010\n17363 34599\n6552 65740\n13619 74638\n8731 35737\n10983 12582\n78181 97824\n25559 66420\n8121 26396\n29076 70700\n39477 75146\n9097 61943\n34361 77253\n77339 83579\n15250 51806\n71206 89942\n30053 45233\n24858 80470\n73391 92979\n9974 46650\n34533 65468\n41150 48422\n44355 83849\n75976 96944\n7894 84938\n67760 92006\n28059 70642\n59661 71445\n58591 99870\n43883 71526\n73392 73501\n57536 72407\n4042 99408\n22097 70687\n79206 99807\n11302 56052\n11100 43852\n43925 73828\n24876 79779\n24479 57719\n68274 74893\n21190 68365\n11096 12897\n21565 91956\n59719 71297\n75198 96768\n81896 98534\n29775 67641\n9817 19858\n41117 70563\n7899 52153\n60172 83096\n3208 93739\n2783 76870\n18149 20710\n73963 74387\n60459 87192\n15370 80626\n16517 16866\n86607 99248\n14061 86971\n40058 48737\n51467 65217\n49137 87649\n22200 86638\n35278 63907\n67410 84480\n7120 29327\n48281 64236\n9786 63057\n45914 98242\n28669 74059\n62274 93164\n36177 57926\n58777 83162\n64554 94810\n24068 39301\n54983 79948\n23455 96105\n73291 90499\n8426 15725\n1224 86127\n50757 96872\n48648 98201\n9801 29505\n64870 86858\n65850 93459\n7788 48296\n43270 52586\n36872 51759\n1861 10439\n8435 72716\n148 66390\n16592 63054\n9131 60990\n27717 39232\n3146 5248\n57378 79554\n23999 60182\n75431 84755\n22736 53265\n5013 9258\n4812 10447\n49683 97383\n32403 76240\n42032 96471\n32734 90369\n6708 67803\n19524 72731\n15551 37746\n5636 68689\n9789 66194\n52402 86192\n30657 66318\n1617 61198\n59086 75939\n20340 76477\n54745 59803\n11286 23080\n72724 91864\n54796 73723\n59639 63247\n17422 29318\n4747 76725\n38436 67431\n75883 77358\n29938 63989\n54106 89254\n69913 93979\n89942 95512\n50021 60476\n4368 20057\n66162 95965\n23624 32430\n58468 92788\n14980 93568\n88246 94511\n89322 89737\n24149 97142\n535 23079\n51841 83477\n85098 88310\n1522 34453\n60239 84014\n4630 58152\n12161 78081\n11102 83362\n12245 57751\n2470 67836\n33759 96557\n51325 99038\n40902 62430\n54531 79830\n30385 78519\n22408 44593\n8522 53389\n13164 91642\n16002 42451\n39798 92624\n16089 96865\n36426 51529\n12002 82006\n21745 47344\n57659 69856\n62388 75949\n29422 50961\n46946 86869\n29928 91065\n35183 36912\n19136 65081\n4634 93039\n830 80993\n93273 97849\n1422 8749\n18951 28487\n42808 97765\n53172 76186\n16329 86509\n11211 34191\n6672 8742\n48059 72961\n20779 61959\n26292 66354\n72348 96822\n16303 47509\n10309 58494\n13052 62766\n14006 49081\n46702 62131\n43797 89375\n27225 57873\n77195 90065\n25484 70254\n31932 63392\n63363 63415\n23280 69271\n30408 37722\n57751 88495\n10724 79831\n5270 23777\n78370 94798\n47585 64286\n45028 69581\n9792 16104\n1991 58667\n38843 49507\n65810 70512\n83071 95559\n69308 98280\n37402 84891\n50645 77189\n17466 59940\n11186 58957\n68 81713\n3060 53047\n14235 86698\n53192 65546\n11186 75827\n5170 85954\n15813 33870\n83161 92436\n16073 20377\n3315 52031\n2837 84171\n33004 85388\n61921 98298\n6171 56001\n44797 78080\n35107 94050\n66151 82299\n70054 93663\n9484 14229\n6652 48596\n22593 52947\n43630 92409\n55813 95482\n4093 65154\n40843 59032\n2671 13704\n19365 60369\n34727 66153\n57646 66890\n64946 81405\n60763 66714\n49616 51346\n41507 95515\n3779 54180\n1218 18558\n71849 94080\n52622 63248\n97352 99404\n50110 57378\n9146 28168\n10334 22838\n22965 79668\n19793 29458\n77756 94673\n9539 51013\n27505 47174\n16867 32378\n50071 62661\n45193 49874\n9559 54538\n54698 86842\n54898 59924\n73844 84778\n76508 83373\n7791 67358\n30419 56770\n91413 93123\n11539 22910\n868 53856\n30519 38494\n47443 94566\n58990 62286\n75843 87447\n35398 65407\n48971 86847\n65692 89869\n34752 67328\n20554 95995\n87038 94292\n46400 95897\n32950 73634\n12019 94662\n86204 97797\n8661 57723\n457 68543\n76229 76934\n19193 35970\n4835 74989\n54758 70374\n26079 76287\n10861 64517\n35817 98390\n26802 75919\n71833 72034\n65669 87640\n42837 43056\n2301 85050\n64 76121\n43021 92144\n27576 79924\n76271 93569\n62044 96836\n60682 97776\n62897 90244\n23838 69018\n13838 99565\n7977 68857\n2323 6862\n14426 78048\n28195 75512\n29216 80688\n11990 71061\n9609 57203\n58101 61711\n8112 93580\n44487 49402\n19711 21439\n7079 55310\n6242 51534\n5070 94709\n4365 77541\n37633 73854\n11741 37697\n32751 95775\n38747 70525\n69819 82896\n26991 54415\n28450 56335\n70418 95728\n21966 91663\n38101 97141\n29899 60662\n22751 97611\n4901 76713\n69499 78840\n70173 82695\n6043 68780\n33565 52422\n53912 98860\n24146 34387\n5810 39076\n15527 96575\n48218 77643\n35746 42239\n43104 78139\n887 70153\n67794 93355\n59376 68087\n66700 70334\n8567 60889\n28800 78313\n15373 27704\n36676 66478\n4888 8087\n25710 98846\n15483 37072\n68094 72523\n77907 84238\n80250 86723\n26923 54872\n48212 57084\n11239 67585\n67074 78521\n6111 15358\n12941 70578\n79943 93837\n24529 81669\n31677 87656\n9116 35446\n9429 53358\n36356 46854\n8250 84969\n9439 76150\n27573 83898\n48068 57578\n14799 24670\n28883 93835\n51179 55965\n49653 75406\n18307 30778\n38917 86209\n33234 96088\n51972 98950\n20922 87402\n26444 29012\n21286 41356\n39507 57102\n28980 81330\n19293 47041\n55283 78957\n23750 32836\n63116 99288\n426 90215\n61307 80884\n35867 91044\n33928 63866\n59534 88322\n28302 89419\n24153 92867\n61620 74918\n19637 77605\n12149 83945\n1986 67276\n26268 29026\n55156 75680\n8676 97347\n38926 88010\n38789 59911\n92408 95217\n65805 88353\n47449 77482\n54238 76093\n59953 71293\n86622 97425\n36577 36678\n29192 54103\n83575 89207\n34584 54928\n2504 24586\n13544 47611\n1892 73193\n6369 81622\n53310 72896\n22500 58857\n37083 38166\n42808 80092\n2404 89680\n12177 52829\n66836 79563\n6244 66049\n2941 19499\n13543 69822\n67428 85030\n74886 79144\n36616 85335\n22517 81657\n82202 97976\n42174 57076\n18913 99172\n7466 94427\n66790 78764\n26717 55404\n23152 85843\n27716 75153\n13101 86911\n3607 49267\n2914 41065\n41392 47773\n28063 46840\n15973 95438\n30498 66375\n86989 88288\n1741 64501\n53169 96972\n73104 91205\n566 8687\n12597 78301\n34200 66844\n2468 59061\n9968 52505\n26547 70739\n54137 86785\n39243 96378\n59273 68226\n12898 29743\n76468 99929\n21359 72751\n28291 31806\n4409 80618\n2511 44898\n26845 50953\n65664 81696\n10493 45632\n8683 50540\n36863 71682\n35307 45901\n71365 94377\n1371 18507\n79068 86049\n6004 67346\n32019 71665\n56323 91003\n46990 84995\n44323 61930\n44634 59260\n60194 98382\n72171 81841\n33693 44095\n76604 77178\n22299 80923\n85884 95688\n1244 91058\n81231 84365\n11871 30356\n41878 52670\n10978 83409\n18748 70799\n34767 65326\n27536 77858\n43782 63821\n32854 84665\n48456 62064\n14755 39082\n83668 84482\n29211 40601\n345 30377\n23621 57665\n32502 61842\n46351 95710\n19142 50609\n6826 22207\n57105 72908\n20310 46765\n1928 44422\n92350 99762\n22802 40870\n21665 65919\n61682 68946\n11181 18947\n10245 63259\n85074 88128\n2420 11771\n43281 88206\n50155 79600\n38894 83465\n47232 81792\n23881 97491\n43546 86035\n72053 80634\n12617 94672\n63322 81955\n58270 70491\n19670 42503\n82346 86579\n60453 93439\n86276 97600\n37332 50278\n1083 97482\n67572 88569\n28478 36578\n56408 85477\n66742 82808\n45 70713\n10232 74415\n17491 56152\n53257 85739\n71382 99794\n24862 48312\n5797 54465\n50749 59728\n66312 74853\n19222 48209\n1710 21504\n36015 60424\n17853 68233\n32344 79326\n36788 54156\n34781 92878\n54589 83592\n36915 82519\n42069 83999\n97228 97480\n45686 76490\n77224 78863\n1193 6961\n28217 69097\n20955 80351\n26443 35468\n68822 80546\n12008 42001\n85291 95898\n40481 94943\n12530 63990\n40087 54312\n28763 74437\n35188 98781\n24670 51189\n31792 75300\n29654 41620\n22986 85625\n689 97990\n25085 50298\n1365 16633\n5206 78286\n7227 61872\n26587 36069\n2353 48983\n16266 24338\n1312 98606\n13163 72842\n14181 48621\n84161 91573\n5714 12836\n53989 97107\n8291 44781\n42719 75729\n28931 73940\n78859 80441\n16185 29653\n85807 96511\n60677 79907\n57867 89811\n17253 87421\n60311 91375\n45269 65149\n68533 77065\n4961 54407\n24036 63219\n13942 76350\n57590 94268\n55824 60642\n7207 92734\n38515 76815\n27351 94375\n17597 64238\n50437 85469\n37975 69798\n36068 91592\n79875 91865\n17336 51391\n50095 53371\n40417 99670\n27916 61183\n24903 45434\n35237 96103\n27397 30430\n11140 44847\n8228 95791\n61872 76089\n62659 85929\n49506 72714\n3080 24085\n61635 72040\n27377 73718\n36995 72301\n28912 79001\n61846 88763\n37732 48378\n19819 83358\n59255 76943\n46507 94542\n47176 64691\n69662 83309\n3947 89184\n12478 58823\n14564 34713\n45170 97710\n27208 32905\n36649 64440\n45619 69462\n17893 40843\n41161 92568\n12097 12712\n20600 97975\n19560 67878\n15736 51467\n29257 90135\n56112 59193\n43807 44871\n39154 91615\n6704 60995\n18925 90028\n18932 88045\n512 17812\n19448 25247\n12014 86818\n39332 85574\n82147 98683\n12587 59429\n71792 92976\n36199 86065\n21776 71447\n50968 72165\n543 3042\n29766 91018\n2668 97702\n39382 70001\n2627 61320\n89438 98081\n47081 89989\n74191 95075\n7411 37736\n27329 55646\n21795 23114\n4822 75669\n14505 59676\n2091 54301\n41037 47539\n12 48085\n71624 94084\n22627 91880\n65488 84585\n58102 71352\n555 11198\n20358 64456\n24950 58884\n21469 72772\n19330 32833\n8987 91666\n60922 95081\n26062 38773\n4076 14246\n51478 57984\n65670 68254\n47233 71582\n18553 42815\n4561 33649\n4847 31381\n22556 89578\n7861 40009\n32738 43488\n47850 53211\n8942 51205\n10481 50509\n4654 40971\n76489 95540\n70965 71641\n11325 80665\n10083 79415\n31458 82371\n16478 74088\n39433 62508\n19741 30294\n63524 74781\n73871 94217\n24657 53829\n2517 67996\n14609 97683\n44621 55444\n37580 57626\n35271 52727\n374 92542\n8558 61424\n10465 91141\n29789 70561\n10041 23607\n51963 71128\n4696 46572\n33793 88368\n68759 97861\n3628 46594\n22637 34262\n3116 33329\n84343 89910\n7631 57191\n58995 98168\n28138 67428\n24164 74274\n25189 62277\n1136 36407\n77452 82951\n28274 86305\n44833 54735\n34984 93741\n19514 49153\n60569 96129\n9657 66209\n7971 11138\n6294 81287\n8632 40315\n40147 93045\n20001 59995\n24886 99350\n22232 28903\n38270 71245\n12020 82071\n69576 90150\n8481 96658\n24086 32847\n47982 96731\n70829 90947\n14442 77463\n10282 97680\n15186 55347\n20671 82684\n84190 88387\n39712 75293\n51256 58371\n44266 75393\n1000 56862\n44534 83949\n54354 84099\n43249 59547\n77042 90440\n7514 32143\n81062 81463\n85667 91382\n19458 61983\n43130 65623\n54596 59920\n17795 23594\n18836 59583\n39530 79082\n71968 72640\n61492 63341\n41269 63075\n2823 82417\n68198 96537\n21814 27381\n22985 73831\n73726 74425\n34168 85579\n44125 51631\n59577 84175\n41383 79889\n53281 67085\n4157 58493\n36882 57985\n645 36131\n27272 41107\n43484 64640\n22410 56542\n41340 78008\n80017 98421\n66727 79904\n24764 94252\n58490 74705\n34566 90590\n6624 96697\n68609 92538\n30107 83280\n68222 99583\n70497 75425\n13854 92880\n17490 74668\n74202 92207\n60276 74198\n82274 86136\n15380 49443\n12939 87864\n52314 97224\n60800 62308\n91731 95280\n4949 17525\n46299 58642\n16514 55144\n38315 60200\n19384 93097\n64208 76823\n39060 47542\n15734 81139\n5893 14342\n2363 64422\n62542 94019\n21106 97325\n70207 78636\n2069 73762\n38266 96860\n83474 97683\n23674 25525\n71268 72787\n29330 78692\n16953 56041\n21491 74205\n28552 74989\n33095 58959\n22795 78540\n82490 96955\n60616 62970\n27067 67435\n10949 40268\n17264 26400\n59262 71495\n20426 59805\n35970 85139\n67548 81040\n54046 84155\n15455 76317\n9369 10213\n8861 44907\n53062 79300\n18570 22115\n17683 53107\n12764 48723\n7897 37251\n936 51721\n17794 77707\n50093 66349\n95520 97462\n2223 5176\n29362 56482\n2825 18596\n22067 51820\n8613 51937\n51004 87642\n1660 30079\n10842 19497\n48182 76538\n1570 27596\n46747 79616\n61462 95537\n41403 79170\n86116 91117\n65109 98106\n68359 69105\n93916 94100\n9485 46541\n20014 67827\n30571 37283\n21196 64998\n2199 5716\n53479 79642\n14908 73755\n23291 77684\n18064 79006\n8957 66562\n3325 43875\n47136 71240\n12582 24700\n29230 38108\n95773 98069\n42962 71407\n48884 71279\n12506 80684\n12186 31586\n35591 45084\n22961 65272\n83658 85472\n51820 55721\n18640 23186\n37606 56114\n41456 80599\n37955 55002\n20878 59352\n41404 48851\n54263 77422\n7478 77624\n20300 47691\n9604 22867\n43394 82763\n54607 78240\n28806 82841\n11385 67899\n13546 62764\n9392 38177\n39717 81673\n30929 42287\n28479 60949\n48654 50409\n15774 72222\n21309 70875\n37324 49032\n3349 43069\n48436 51481\n70388 86186\n15192 21467\n28620 81852\n57 87566\n25739 94817\n30942 73442\n53605 83276\n45580 53413\n8409 15905\n35847 61903\n11972 83507\n52740 99921\n53955 62585\n59865 91476\n28240 71454\n30868 65477\n1058 55110\n32928 80207\n16312 84611\n31170 94316\n27562 80678\n22347 24537\n89411 99129\n15162 76577\n2798 49473\n2795 39837\n36237 58858\n816 97472\n40192 49764\n15233 18463\n83787 90908\n863 44589\n4694 92667\n4220 14536\n14326 87897\n31391 37397\n26736 89622\n76571 93904\n28505 46561\n30283 96496\n13098 58844\n55608 75596\n9080 73862\n55137 90120\n38237 57480\n34051 90936\n26488 57794\n7342 87071\n64584 69489\n74100 78014\n40851 81088\n22069 45899\n24657 45936\n4208 77096\n45545 92663\n33645 94443\n26581 73383\n40955 55814\n54280 95767\n24491 94653\n71980 78562\n12631 93619\n6520 99449\n41796 58063\n24760 45695\n28565 88469\n72064 75090\n3128 72653\n16556 24354\n707 41115\n39833 93481\n23254 29257\n56807 85668\n39364 42260\n34227 87497\n59868 77979\n2002 11766\n62018 85042\n20664 67504\n21470 72565\n73027 88794\n44654 80605\n9235 52398\n32593 45714\n19811 34385\n43740 88888\n26415 78204\n27128 43891\n42716 99881\n9479 10003\n17437 77147\n58539 74807\n5584 74956\n26656 52007\n11819 19451\n30208 90628\n25103 75838\n28718 68584\n7240 83021\n55423 93615\n14773 49343\n42699 48126\n47387 94012\n53071 70011\n57806 97158\n12780 35071\n73428 74035\n75225 77560\n40234 51458\n6428 88075\n6877 75713\n24130 82006\n1745 25151\n497 7459\n9703 98356\n85832 85907\n38627 74529\n38479 64419\n34553 47226\n60990 76941\n20803 89783\n8569 63892\n64384 96028\n5782 97972\n25334 26631\n72426 90124\n52265 67208\n19606 53068\n57331 81459\n40398 79448\n63184 65257\n8939 38702\n27454 65485\n29576 80614\n447 18775\n3324 24013\n262 33737\n4194 55135\n94842 96930\n6919 52320\n45761 51089\n2025 26699\n38225 47369\n68099 89539\n2535 56951\n19603 70637\n25364 77383\n21244 98109\n35027 81661\n49006 64535\n23210 24289\n25133 92218\n37628 70052\n27454 90283\n11739 24379\n28357 84807\n12172 53650\n23298 46413\n65700 97613\n53293 78614\n64122 76287\n12921 89995\n59747 93250\n43210 76309\n65144 93604\n22172 95732\n25851 80452\n49799 78511\n16593 66371\n18386 48463\n58770 81345\n14067 14151\n53399 54171\n25154 74865\n14367 79635\n16436 41598\n22054 60293\n42560 53856\n72342 91451\n33205 74919\n1065 40854\n28282 66538\n54224 57204\n77113 77149\n77031 90574\n89894 94407\n29172 78660\n32817 48529\n62960 77262\n53281 68264\n77168 85605\n27345 57591\n357 72253\n53420 53474\n35554 75049\n11183 29377\n31874 87383\n7784 50585\n978 49537\n2805 50835\n27710 86699\n89046 98013\n4015 56592\n24089 38079\n76264 83922\n7256 66514\n21925 85081\n7096 57836\n32527 41462\n41928 85466\n55372 99982\n31831 65980\n20049 65186\n38304 85439\n6701 59883\n6541 40045\n4735 76049\n45017 83750\n20317 27796\n39375 50552\n38135 64835\n64819 92410\n12449 65954\n41781 97113\n37653 70904\n16018 74894\n62762 73180\n38028 65028\n28899 31822\n31530 61262\n2319 83566\n3099 85716\n7814 96714\n16451 24844\n48433 78243\n5522 87858\n6910 21360\n70154 73003\n20159 94808\n49522 70031\n25612 27608\n60622 74707\n42393 61019\n45042 84474\n42489 67114\n7194 55653\n32865 75147\n25915 51171\n2867 97351\n4488 45772\n28457 62259\n7206 55126\n10596 80039\n7549 76652\n12777 20135\n41998 53285\n2082 94935\n34572 53400\n13693 24179\n2273 53972\n47700 51027\n59659 73423\n48255 62363\n75351 86247\n13999 42149\n9615 36895\n38151 47107\n61180 80142\n23645 61755\n66195 92727\n3436 96926\n69855 93099\n13600 23518\n37326 92847\n6137 29458\n47354 84422\n44829 47305\n60547 95080\n31683 79508\n285 99471\n20323 98815\n10807 57012\n40044 79911\n41447 43564\n34740 63475\n34369 79678\n40290 84710\n51787 82234\n39850 81635\n1556 65725\n62087 98422\n20197 28526\n65302 72686\n85114 93321\n82431 98010\n20362 44399\n51409 75691\n2532 68713\n46095 78625\n35193 59713\n10957 22161\n20513 40758\n16922 41874\n25471 34310\n36268 79293\n8121 98236\n55463 89739\n19031 50136\n36085 79755\n24022 92490\n13046 29721\n36542 92853\n52327 64334\n28538 92439\n37250 89970\n928 60449\n24564 60246\n67765 78278\n4366 78417\n7321 94673\n34867 65380\n8469 85591\n37924 52506\n68207 97973\n36100 36490\n70634 85264\n10137 24734\n90735 91699\n63980 67603\n11646 47733\n18657 87618\n5953 59334\n40453 41654\n7229 90262\n41429 82050\n40079 48098\n68333 85291\n11601 37586\n929 98743\n5936 61555\n61737 62941\n14996 38680\n49710 99760\n56948 72149\n11808 57415\n15712 85020\n3667 62215\n388 53310\n7446 11303\n2220 16859\n63551 65777\n17672 21759\n73473 82060\n2222 33479\n9865 21143\n35834 60653\n35300 91415\n4109 82830\n3341 31781\n8437 41724\n8029 88343\n1971 41381\n60534 89128\n34234 43966\n55585 60952\n1154 10924\n42783 52337\n54876 93205\n88500 98115\n33328 56546\n48714 60917\n12015 75989\n52537 90241\n1084 26443\n47818 84333\n22407 38011\n36204 72443\n58115 62626\n84447 86424\n70227 71688\n1474 90027\n16705 37311\n42475 85211\n17908 59171\n54760 84122\n52303 95092\n52419 98670\n55171 67855\n81199 99994\n47821 84601\n36052 86570\n20684 74568\n20507 65100\n16043 71110\n18719 89122\n36586 41409\n81743 91459\n8727 58128\n34914 46567\n3903 63483\n45524 55070\n12534 70731\n55576 95998\n16889 60282\n50442 77024\n49155 57625\n96315 97836\n60916 94587\n14548 65025\n6357 57879\n29279 44463\n69720 84920\n15933 49961\n69482 92237\n20767 87038\n51227 96933\n70363 70522\n8312 82710\n27767 65348\n51427 83179\n23764 35303\n31155 98470\n12435 65633\n40623 85770\n1668 93508\n5435 31478\n45378 82855\n23246 76363\n9187 57073\n37609 82782\n69531 70407\n20797 60307\n23852 90147\n10392 76910\n62701 98504\n82479 86080\n50797 84564\n6165 95923\n19158 95730\n32409 33786\n30474 93613\n9704 56196\n11768 31195\n72892 79585\n8782 90783\n15253 96289\n19634 42427\n29664 73105\n44972 75704\n2498 89883\n5168 10721\n941 3408\n17567 87627\n28440 37565\n6162 36820\n10209 87028\n33251 83825\n63555 76938\n49741 65535\n30542 54725\n34586 46427\n49954 96538\n26630 54481\n43108 50865\n13298 23053\n257 55840\n24229 75308\n49093 64848\n3253 75475\n56192 86498\n98013 98278\n57086 95109\n94063 96887\n72450 98398\n28801 71976\n34868 50832\n42584 42856\n69587 89437\n4411 81272\n49092 80198\n36278 52725\n72246 93383\n40760 63642\n62863 84671\n62888 93402\n50530 90364\n51967 86548\n54078 87230\n54045 63638\n8135 44912\n4910 56501\n63109 70279\n51566 79634\n17634 20144\n19365 72398\n37328 66516\n31562 77177\n19997 24053\n48625 91803\n31813 42164\n10933 57342\n63750 76433\n12378 28108\n12888 20471\n36867 84393\n61020 76750\n39522 51952\n4460 44924\n38765 77438\n30942 34539\n18335 72860\n10845 88598\n24415 43056\n22569 34912\n31916 40180\n13573 34077\n37014 90517\n29225 96408\n46614 88967\n39988 42159\n50505 63256\n22053 47978\n33815 89934\n15697 64694\n28107 81928\n29443 42647\n11191 96275\n74849 81163\n24855 61034\n12988 31956\n20180 99870\n4942 9694\n47995 90699\n53189 71722\n88046 91651\n22352 49844\n45831 75778\n16529 83636\n13450 85203\n26523 93535\n16505 83435\n13553 37899\n13366 31792\n39065 87762\n48747 74892\n51056 59748\n27122 68140\n59481 94946\n19378 84514\n44012 69235\n48886 79775\n7418 30108\n23852 49658\n42427 98800\n30644 33800\n4886 26657\n23958 55418\n88 93948\n78731 84740\n34756 45395\n41164 51939\n54873 96444\n16021 63216\n79761 99000\n36600 88189\n36649 80662\n8549 10730\n51913 84491\n36323 37731\n22477 49922\n46914 60839\n95264 98869\n17256 67293\n71901 77276\n60239 97076\n11064 70472\n92736 96967\n77588 97000\n10311 73346\n10005 19139\n15279 28469\n68212 71992\n53999 79422\n5858 40935\n27033 74042\n2764 93505\n37281 71105\n31361 65320\n29463 75189\n2187 96890\n27418 93959\n17303 61193\n68680 77774\n23876 39984\n56651 56978\n30868 68707\n18602 97892\n17203 25244\n6069 35368\n14760 84408\n20507 69152\n59483 70284\n76849 96695\n1680 10412\n12064 46651\n24043 64177\n6759 24897\n78036 78999\n15194 50252\n23530 33688\n18892 66702\n11134 21651\n30434 48015\n41747 96357\n7430 82889\n421 4940\n23855 70343\n39692 51785\n26869 76563\n58980 87224\n41778 86774\n17696 40813\n56068 56118\n35340 50030\n12318 98316\n56307 57596\n50789 96607\n44746 58103\n1894 15756\n18243 20540\n36031 68719\n12740 50694\n77713 80479\n2642 14338\n44009 67985\n23105 62937\n57087 81824\n3852 20254\n49823 97147\n46226 93515\n29353 83241\n35028 53769\n53985 81820\n10696 86685\n24556 94352\n8060 61979\n5925 90029\n31490 57800\n67636 92020\n74466 84288\n10971 78884\n758 84511\n859 89234\n3024 15352\n37974 72525\n18831 63248\n73034 79660\n6920 25147\n20272 31727\n15703 23339\n10471 72331\n54670 93487\n25052 89433\n37442 71227\n23845 38663\n26350 73599\n12873 82481\n53723 74955\n5322 37284\n29419 75531\n26520 36394\n58034 67031\n83142 89980\n57701 66745\n19224 74554\n12923 44541\n43562 66796\n22829 97749\n28396 36295\n10097 56413\n14848 92225\n38706 97792\n65939 93484\n3366 83757\n53583 97357\n15974 37505\n52314 98793\n64767 99775\n9464 73419\n23341 35919\n6562 50573\n10575 19066\n34010 50797\n55900 90100\n73550 89119\n6209 18995\n1736 22326\n46507 85009\n52840 66999\n20267 55938\n4820 95358\n27709 73062\n6380 14053\n14499 31498\n199 28155\n9173 30501\n32146 55823\n37155 49614\n6769 43929\n13287 90089\n588 46977\n55121 79710\n44103 48499\n60215 96726\n43426 72850\n71338 94082\n38553 47112\n35712 53811\n19572 20710\n19396 52099\n11509 85256\n19866 66452\n31206 46330\n48371 52706\n55070 76404\n62883 65862\n8554 46510\n35519 81170\n78861 94945\n34852 55410\n1480 55327\n54821 96010\n21770 32046\n68773 91073\n45878 98346\n10972 73138\n35584 39324\n35156 47060\n40642 93264\n9419 84155\n29974 55321\n12055 47829\n1013 23204\n2066 81392\n72116 93407\n40460 73560\n28427 71235\n48756 63922\n61380 75439\n86828 97532\n11308 42639\n60828 60857\n32256 48759\n70609 99397\n33 61983\n71284 79250\n34837 68368\n8874 49942\n15413 43847\n2245 16836\n55264 88860\n11085 98037\n60256 75937\n34942 93691\n13927 59637\n30827 73431\n912 73401\n37977 47115\n20023 26576\n19951 52655\n13987 99988\n27271 93983\n8689 14084\n28951 54097\n94066 98577\n83998 92095\n32595 34266\n10789 50233\n48974 87362\n52705 71755\n48735 80011\n21719 72487\n36567 74249\n17908 42164\n30574 69900\n4474 12462\n21308 88328\n14185 92242\n60833 98668\n5529 12342\n33820 34817\n30149 34379\n56821 86435\n66098 75290\n36276 68289\n7828 12624\n4611 59621\n21434 90609\n30589 99480\n35076 71336\n5112 26870\n55014 92368\n46107 66138\n53884 92937\n10291 22611\n2073 34214\n65052 86751\n13922 42288\n31987 52396\n10994 67196\n37479 39251\n64833 70508\n55699 57427\n67971 75250\n37784 92565\n51905 54947\n1449 25755\n3674 27874\n69031 93311\n4641 65864\n2411 96330\n11425 56009\n37475 94549\n56954 81936\n2119 42468\n47752 77838\n25097 25624\n12523 73989\n5435 40029\n40043 71468\n50513 93767\n10394 25655\n32405 90644\n41326 73847\n57077 81272\n31954 71494\n17114 69213\n33516 74616\n90383 99854\n36698 59779\n28020 44596\n50524 56751\n97197 97439\n20877 78313\n2986 48113\n34329 72997\n22182 39438\n56071 91226\n46661 62307\n32595 36353\n82911 87054\n28826 86332\n33166 76149\n42158 87242\n4392 82948\n1427 26610\n16592 57274\n21974 30448\n19424 75418\n48551 51368\n7836 36222\n44983 66133\n11672 85520\n31480 52079\n35510 98145\n74496 99519\n1295 36720\n66682 89134\n1328 55235\n39202 66016\n11732 52369\n46013 87277\n43127 55678\n11562 31921\n39986 58676\n14310 55744\n46949 77627\n83223 84285\n19105 41172\n77844 93921\n40657 79578\n14736 48178\n70552 98424\n11729 73067\n13690 21934\n39344 73372\n27558 88239\n25350 73627\n19946 90941\n6686 97691\n17231 70630\n34211 57932\n62576 95478\n42769 97824\n44990 78441\n85333 93698\n14268 50527\n45819 66470\n69556 78634\n88825 93453\n65127 94724\n25751 59953\n37744 65855\n93842 95474\n39688 75808\n46651 65776\n40297 89813\n35110 60408\n55536 85630\n45857 49340\n36172 44630\n40531 68331\n53676 79623\n359 5898\n19652 72059\n30331 81431\n33540 45742\n46853 96593\n13865 37679\n24973 98545\n15139 56174\n29525 90836\n4677 47617\n14360 53516\n59989 93535\n50354 98596\n64190 66055\n23318 66939\n31832 70960\n86298 97032\n36567 52099\n17628 24761\n16888 81695\n52361 76196\n10326 19745\n90762 91280\n2570 92595\n74129 91696\n66497 73645\n9768 25375\n23016 61675\n1545 87052\n30031 38811\n27500 31227\n22553 43362\n46742 98675\n3506 98067\n11891 83051\n60231 82636\n37037 49005\n6097 32151\n45764 64648\n13433 47359\n19003 75962\n50015 55503\n75861 85404\n34460 51038\n27340 79123\n9366 39069\n20669 41527\n37886 51591\n77843 93411\n7218 54001\n42473 54742\n356 29005\n70883 81816\n39673 54013\n64040 76473\n9497 84035\n24271 34674\n13205 26550\n53532 90802\n50758 84596\n350 71685\n73218 78515\n73403 90095\n706 34319\n15177 66899\n19446 96384\n6423 56599\n51925 91016\n34776 41312\n3175 37534\n43114 70688\n13050 97849\n8248 13993\n66102 98229\n5712 12392\n5061 26189\n4610 64722\n60974 74411\n44151 67585\n60841 83516\n37591 57111\n19951 94485\n10679 19345\n12757 28308\n35169 63832\n51029 81732\n77321 84725\n17028 45150\n15519 81068\n29233 56192\n49851 84578\n35546 68949\n64664 67696\n15074 96046\n14561 20625\n67464 95635\n17185 79329\n11301 96513\n47468 83016\n12794 34626\n73594 97785\n38614 92262\n73386 88510\n29964 36295\n1025 60457\n9634 26163\n20863 63844\n48520 92991\n85542 86711\n53628 78349\n8081 24176\n29980 92391\n20877 65231\n18356 25229\n77539 95887\n15039 87672\n2778 90061\n50590 62365\n81473 87549\n18931 88600\n899 33950\n50018 64987\n3440 49784\n5421 91614\n987 20792\n55625 60462\n55804 68561\n28171 44736\n55454 78749\n1465 43782\n24781 98410\n10388 54860\n62913 86123\n65268 69794\n187 97888\n50953 93210\n19608 62565\n2028 28286\n14510 19315\n10242 43482\n47140 64970\n892 5359\n8434 22043\n65565 72458\n17933 75298\n82252 92257\n26622 44048\n40064 60729\n6164 88363\n24663 68230\n21824 82538\n90356 98642\n1819 78261\n34829 68269\n22037 84436\n48378 98057\n57053 80048\n50305 96184\n3128 18144\n3281 83041\n59399 83781\n6005 92284\n17842 93150\n12204 50726\n39711 95336\n30503 79948\n28619 30854\n45465 81427\n15538 68394\n78452 79120\n32974 97068\n20752 51493\n49569 92138\n33320 50781\n20528 54253\n15770 25447\n53575 88582\n63676 80453\n79359 95837\n41091 55642\n27830 84573\n11167 34547\n10366 58755\n31921 86602\n21382 81119\n11905 32456\n82195 93429\n6016 51074\n14971 31127\n14172 77977\n52191 93978\n71365 96056\n8611 71906\n12592 33075\n28346 32391\n54830 92361\n61257 75132\n52296 61232\n79517 84188\n57648 85576\n84269 99166\n54064 54372\n35875 48737\n68852 91303\n7685 26009\n87276 96652\n6263 12081\n30644 59874\n16249 84467\n35486 73605\n61518 70321\n48066 54902\n8837 39971\n37570 79244\n24715 84342\n64427 80150\n142 89381\n38017 53131\n9097 21152\n16991 76509\n23364 47141\n22659 35145\n30938 71096\n50185 60989\n3259 25534\n53663 99025\n43307 62591\n14966 37940\n35485 51812\n49710 70416\n197 27168\n36383 49593\n5401 75576\n30120 61117\n33334 65561\n19058 96286\n31192 53623\n14566 17513\n72752 78561\n54574 96838\n28206 40202\n10339 69887\n10604 15493\n56692 75349\n3881 42554\n44459 77075\n54691 79786\n12458 22145\n42624 90346\n5891 13779\n60761 62759\n6625 39706\n17477 60858\n21938 26711\n43464 93844\n37130 50956\n34775 45265\n43009 56546\n88281 99097\n17473 84148\n10074 51334\n42658 96058\n48591 81517\n24586 54293\n52241 54005\n12540 84698\n10834 66782\n26414 50714\n53302 96976\n2410 30195\n77799 98943\n22934 25323\n29468 44591\n69271 87594\n13966 41046\n71333 97416\n31459 92039\n42264 81448\n4778 51226\n1877 87102\n4529 41460\n3306 74451\n54681 75453\n13496 78397\n34325 35505\n9830 21167\n3845 75049\n50841 72571\n22614 25364\n3492 35682\n2631 3040\n25391 27591\n93367 97430\n53704 57963\n28603 40699\n16073 63586\n96173 99322\n29912 71849\n5539 45424\n2128 73975\n46200 63175\n82188 93554\n4081 90090\n723 17690\n13702 76671\n8435 21814\n72541 76136\n21481 72588\n24769 47754\n5884 87236\n31806 67848\n16823 75950\n20619 66019\n27966 86404\n41914 89809\n2207 30579\n20360 81823\n89582 99059\n71129 82326\n3540 52111\n41277 99124\n37091 82101\n16028 50383\n88310 88474\n8378 77209\n37703 58415\n52219 76583\n17004 77299\n11699 45064\n3537 16476\n7249 34828\n12098 24191\n2421 33248\n41529 93564\n2857 3782\n44314 55781\n14340 23461\n45244 76711\n32939 71452\n79656 84666\n24807 48388\n77175 87860\n59482 93247\n7125 41623\n30868 82265\n22965 50029\n11935 38154\n66404 91417\n10586 21032\n14892 86861\n3992 66006\n36363 55680\n67081 76019\n18638 41051\n36071 62192\n34519 91442\n25582 42938\n5422 30702\n34742 80726\n30394 32307\n41950 62197\n21094 54883\n3781 10584\n1529 45615\n52865 61692\n31871 42963\n41397 53294\n1663 44548\n24166 30601\n46987 88660\n53408 82146\n3435 40054\n48616 73154\n53717 76107\n34257 74527\n53637 64377\n24271 93326\n8227 60718\n39330 48502\n40957 43958\n14002 27487\n27177 75814\n89017 91601\n83265 87962\n82607 96522\n50255 67299\n20900 81414\n80115 96450\n42975 73892\n65632 66055\n58406 89603\n47333 66153\n7486 20282\n6230 86625\n345 93350\n9027 82679\n53241 91516\n11790 95059\n22162 48827\n1941 20805\n23602 71404\n40407 57275\n4402 26917\n85131 92724\n16664 94879\n39174 78816\n22707 61217\n25621 71733\n1573 67980\n25888 70647\n45019 54606\n8527 24382\n38094 56236\n48024 80075\n36665 50173\n16488 82639\n29903 94408\n59037 98299\n56326 58408\n50434 69027\n9562 25903\n36593 80903\n12056 94572\n10676 16602\n2208 80873\n85380 94602\n49983 64068\n35532 50267\n51754 85501\n75783 88228\n22701 59378\n6910 86897\n59069 80145\n24377 43953\n39187 83296\n38870 65546\n19498 90663\n56099 59598\n29676 51630\n60954 98807\n36904 38503\n46850 88395\n166 55864\n17672 82922\n53375 64213\n42402 46025\n61018 95651\n27180 49672\n522 32529\n27718 48380\n9495 75868\n17751 73372\n30821 95625\n67450 85263\n33251 98678\n50321 63030\n9303 21120\n33350 70893\n1859 81680\n2696 43612\n37869 88533\n49275 52095\n33879 95828\n57344 97242\n24864 29757\n14185 99362\n9083 64628\n2490 39476\n965 79266\n29809 57729\n5393 64722\n48271 92698\n3314 49398\n19239 88002\n14592 97497\n70808 72289\n51005 55098\n74066 98268\n24583 46835\n15749 76653\n64424 87580\n10914 58277\n90427 95407\n17790 36193\n52230 59778\n69072 87580\n17853 36708\n30359 78152\n6662 74022\n7160 48446\n78404 97626\n49608 89040\n6954 35881\n19594 20195\n68900 90147\n5606 15263\n21131 95891\n59668 80402\n72131 84580\n47257 65615\n13065 57804\n14014 91775\n96302 98634\n7514 52319\n15760 62488\n53013 57050\n66318 93729\n38974 57782\n63889 77928\n63823 86328\n69026 86046\n20862 82665\n62693 85046\n32122 48656\n36268 54323\n71985 93463\n69404 73192\n41491 87643\n51076 73552\n19862 47271\n42525 57625\n59327 72008\n11409 74230\n38034 82449\n42447 84425\n46049 91512\n29194 50323\n24483 36384\n32210 62886\n39335 42126\n69469 81781\n8511 92961\n17928 61672\n32862 88848\n66061 96318\n33985 52327\n82267 87516\n34382 44151\n22659 71280\n71030 78841\n77814 78747\n31329 65266\n45614 67950\n54519 79245\n399 73415\n51549 86264\n41886 69956\n2670 78046\n3462 74948\n50631 95667\n27026 69864\n26702 31357\n27172 48263\n22771 60096\n73757 79129\n22669 47911\n41966 47009\n58870 76274\n28607 89422\n42243 75266\n65545 90654\n45159 88433\n53459 88511\n55139 64274\n47557 60417\n4744 83250\n73485 88302\n51343 71598\n8477 65884\n40447 67962\n11699 44938\n73395 95390\n70024 74013\n56598 79231\n2833 38247\n1125 71704\n46349 55765\n44746 51806\n47880 91366\n35468 93992\n29341 62658\n67414 97421\n10682 42849\n81206 90126\n37037 81163\n63383 91598\n46620 53267\n57536 84800\n12471 31172\n20135 65740\n31347 76676\n83937 96358\n29419 47452\n16840 22682\n22708 65695\n50165 61121\n18614 89975\n46885 61560\n61778 92455\n25960 45671\n41416 84947\n51696 93860\n27061 79457\n31704 52479\n62400 96125\n7829 84068\n26365 96720\n1007 90301\n29183 88511\n1313 18120\n2932 20981\n3806 8730\n24870 59186\n23794 41813\n43294 90283\n53253 79365\n42202 56956\n81464 85935\n20433 59586\n58770 66755\n36167 78029\n13989 76848\n9561 32902\n30186 56967\n11201 45254\n18523 56076\n5778 84238\n10151 43248\n65976 83318\n130 33486\n4650 74753\n9351 19985\n65601 88893\n46357 84437\n21136 75239\n43392 73455\n2693 10923\n59884 72465\n34813 51778\n26443 51220\n76495 93007\n19024 45772\n24038 31957\n61759 86133\n26046 29652\n6677 69766\n35980 75646\n48242 81369\n14456 27578\n22834 78109\n32598 41906\n17920 24271\n16480 58019\n47889 90665\n80573 86005\n46338 55124\n18001 52338\n73731 89884\n52838 72812\n87536 93668\n42346 92685\n25989 94779\n25743 55953\n68123 72413\n10480 86028\n64598 71259\n2997 4110\n59142 95990\n40999 65846\n22974 31102\n12912 74870\n32270 51032\n12345 56395\n3666 35659\n90786 95278\n32628 41741\n21763 56892\n72059 85205\n40114 47624\n45225 62041\n14040 92703\n58995 95057\n7201 24357\n14167 22441\n15723 75606\n24010 30062\n44026 79260\n19159 36954\n8217 90611\n248 51439\n85629 86501\n43731 87498\n29014 81585\n21372 65338\n4557 93047\n24074 54106\n23152 93445\n8593 76734\n19869 49169\n11172 81929\n55028 59729\n31408 62709\n49638 98977\n82535 94242\n25822 92089\n6820 14832\n3123 66998\n67465 81997\n40836 54197\n10774 35424\n55801 66870\n3062 89848\n4200 97445\n18859 99484\n84807 95675\n70776 96337\n3189 64435\n15724 45131\n48486 75055\n33697 65213\n34958 47602\n15692 65037\n39832 87226\n53285 53359\n9632 37496\n49954 95116\n1123 81311\n7441 32383\n46180 98957\n22432 67233\n20345 26326\n1040 20657\n20637 86424\n6665 80218\n15704 85264\n42755 43662\n14029 84995\n49788 79248\n53692 57817\n23605 74406\n52 23339\n6685 43046\n23627 51573\n37970 74202\n38389 77892\n8162 9040\n16976 89792\n22607 27856\n20226 73181\n55503 83835\n82179 89837\n1115 62435\n30080 92657\n58682 97571\n13728 15012\n63674 65657\n14726 48912\n19991 60097\n15921 45074\n72052 94198\n43697 48887\n5674 43367\n14437 66405\n28578 85990\n3995 8368\n7240 81827\n77992 99163\n30633 98512\n7489 51376\n21960 46946\n41091 68802\n8457 12312\n75983 80912\n14603 22434\n781 94712\n12683 18439\n21263 32804\n29136 60650\n11956 49925\n20139 30376\n4489 58882\n12728 44186\n53181 89752\n62836 84026\n49694 69946\n47172 68851\n72780 97007\n49147 99530\n66935 91127\n9919 28086\n3238 51617\n25231 94501\n12239 99582\n13983 41566\n1480 91470\n8222 14091\n7115 55108\n45470 93250\n11559 29500\n31463 41663\n82760 87083\n20158 28755\n16221 98141\n23031 89576\n4686 69405\n22792 78889\n27363 80014\n49960 95256\n18152 22151\n76836 89685\n50137 82930\n49370 59050\n50499 70707\n28167 49384\n11699 74227\n6397 81035\n20006 20940\n78296 92223\n19638 95844\n9034 46108\n52976 74418\n75727 77064\n66428 87133\n55215 90314\n13445 46886\n8949 64824\n39459 43036\n55377 63140\n20110 87660\n11407 22174\n38371 73301\n2814 45259\n43971 51208\n84252 94749\n36807 79603\n58293 93933\n25831 30315\n90417 95340\n10483 14201\n46068 74065\n31244 91332\n65447 65494\n63973 89160\n37045 84611\n41221 84282\n2419 20966\n58517 79077\n66310 86202\n18326 69896\n88229 89806\n67904 88603\n12175 41991\n42290 64624\n44126 66059\n20438 59060\n21277 61452\n6969 19606\n49314 85494\n16701 25772\n38854 73520\n40708 68610\n50928 63241\n1301 44572\n1109 39598\n32566 61200\n18177 35859\n42541 97359\n20252 38634\n31158 77586\n37316 59356\n34480 67090\n87204 97147\n21486 30763\n24744 79349\n11456 60491\n6865 75740\n25461 84035\n9893 34187\n54447 78877\n15189 97740\n11555 69513\n29172 66108\n6194 41266\n21732 63199\n87929 96907\n37013 72065\n55830 76289\n22151 47827\n6495 30741\n42604 82366\n25538 83040\n83308 91280\n234 50987\n48364 81163\n74345 90495\n54707 61920\n34171 48870\n42062 76400\n96 7927\n19949 27418\n3771 65975\n17742 18111\n46584 62905\n13760 49709\n45209 90269\n50981 58712\n30395 98320\n9763 53354\n70785 87107\n4255 7238\n18072 38695\n48198 55810\n31743 33977\n41317 98906\n61054 67977\n6766 73859\n224 3423\n43930 69952\n33881 54841\n24835 37341\n38347 66729\n37854 42883\n1550 55447\n18765 30667\n18461 43955\n60643 61207\n39754 84822\n28256 94324\n70388 98714\n13504 32836\n19690 85529\n28479 56270\n73385 81984\n8415 9087\n9128 82234\n50930 89471\n3157 37492\n14136 94984\n16967 31438\n29942 90437\n48198 95014\n20550 70467\n4799 75429\n40440 71533\n1076 51767\n21232 60320\n23911 32966\n8948 36872\n5046 85349\n41405 61321\n46286 77845\n30071 92509\n33033 69455\n87869 99536\n37025 49320\n22994 59978\n23246 45487\n25473 25885\n17366 42633\n28615 82272\n44610 46044\n19334 62759\n50872 97242\n58078 90770\n10232 43267\n5637 87621\n11483 68941\n39289 99460\n21928 68218\n53794 56702\n67314 97286\n831 73683\n35375 71359\n65613 91469\n24791 93515\n20038 83644\n28954 90283\n20758 43468\n18670 35676\n76739 88260\n11234 50471\n5471 48325\n23689 70715\n13718 38371\n2277 68505\n54185 86477\n6423 9993\n44931 95538\n41567 66469\n25858 30761\n12479 36564\n45330 57704\n22336 47466\n37574 37771\n12703 34402\n2846 56865\n11362 37970\n14075 57113\n25062 89636\n50323 77447\n43636 94949\n13261 29453\n35186 66383\n37096 65345\n37811 54940\n41227 75417\n61464 72292\n8406 38557\n13393 87576\n4312 12713\n15566 88480\n40789 73718\n8347 57070\n7800 98146\n4686 34607\n39729 63633\n2407 32790\n30904 48685\n29254 34735\n74879 75911\n21895 27042\n6821 38665\n6942 76736\n9964 57180\n40444 47941\n97309 98440\n1279 48332\n40652 43193\n19944 42136\n23579 55899\n57827 92535\n74286 88261\n18620 66805\n22375 68549\n68419 75209\n2574 5091\n51477 57035\n16657 66906\n39181 67544\n6127 18065\n16635 54525\n17982 38809\n79766 98875\n75047 95314\n3658 83877\n41967 67092\n8275 89435\n62966 67110\n36628 87891\n72175 96438\n2340 97995\n80671 99882\n6105 7941\n83367 99139\n46086 89301\n6726 80608\n16988 48113\n42796 96455\n8919 29375\n48913 92438\n42053 46265\n2971 40396\n8916 70243\n5280 39979\n58856 73565\n51193 84132\n30081 84037\n40459 48144\n29662 89000\n2966 86347\n53704 96263\n10469 29169\n75664 78996\n36146 54126\n16075 36863\n43417 97078\n56910 97187\n1171 68749\n13559 45133\n33688 37973\n41178 79769\n14510 16465\n31218 37239\n1140 8866\n21346 57529\n6614 50764\n57204 91525\n43972 49923\n22207 79078\n37899 70675\n13849 88243\n36985 61717\n31917 87648\n23304 60745\n20115 98240\n6792 99268\n62457 77309\n9038 99440\n20068 39467\n43969 59823\n20402 34314\n16417 48063\n56343 84062\n66332 68085\n50096 83277\n21674 83477\n14643 67969\n26852 64909\n7299 49575\n39205 52344\n946 41956\n21696 22249\n10031 78435\n22662 37684\n70921 87278\n5883 59140\n15422 80801\n23488 49802\n18621 99530\n12274 18358\n46864 51068\n66850 75355\n14157 41827\n19345 73047\n39414 57203\n3666 73084\n63524 66160\n70552 89817\n50407 86582\n8690 49767\n12893 47641\n44228 56855\n41138 97379\n68866 75111\n56373 92038\n65122 68425\n31334 53967\n88735 91781\n2806 98665\n68267 78151\n24857 87803\n44231 55137\n3365 65889\n18071 46298\n43189 68404\n42644 70875\n27753 37148\n19527 37287\n15297 67639\n16837 86641\n30573 85048\n49923 96631\n70770 91168\n58833 70793\n50928 92072\n35732 41321\n68322 81578\n78029 95181\n17397 19578\n17361 92218\n32598 64354\n6542 9932\n31615 55143\n52363 52745\n23563 92509\n61723 64540\n87281 96785\n2929 58810\n50878 99448\n19291 21870\n51151 96514\n20175 32360\n42896 50070\n15714 44363\n9513 70349\n21364 23089\n67271 95485\n966 13900\n29908 84024\n5350 85545\n39570 97559\n4653 61576\n81162 89735\n81315 84409\n48729 87033\n18791 66140\n9235 22959\n1278 13117\n95711 97002\n2423 35449\n23276 70573\n10236 45375\n6884 97846\n65512 98696\n28290 37267\n4133 48584\n48419 86459\n4881 8884\n10687 70087\n15717 49585\n10870 15328\n32990 92112\n1369 83137\n2695 49713\n36998 48235\n41052 81551\n66121 90698\n65057 87706\n98370 98923\n15616 41829\n4503 86431\n46 54954\n21780 35525\n33601 60735\n74088 95900\n46023 53630\n12145 82919\n55624 61039\n17157 28374\n8165 88169\n1192 67113\n52437 85237\n34741 87477\n17294 74232\n45145 93337\n8688 42129\n8926 40609\n6082 37639\n20559 34480\n20392 47741\n31905 31916\n47199 64113\n18778 44206\n48440 52489\n42270 55063\n30671 52304\n10052 50465\n65807 85386\n57034 81387\n12212 64467\n50528 92783\n55956 91718\n19369 99133\n33574 74191\n4677 49269\n82856 90679\n35318 91225\n2153 79190\n38451 61347\n32722 52654\n24721 38942\n9803 35975\n17967 55074\n22351 51561\n10367 82185\n6648 15988\n18104 77765\n45844 93647\n169 14133\n6609 7502\n59974 95790\n9077 83905\n49303 76564\n21322 90514\n29677 30961\n4983 40961\n23717 97840\n10917 79325\n29364 81144\n33994 90529\n15847 50395\n27916 55263\n62948 70528\n85581 88471\n10157 11128\n37839 53687\n6869 99766\n10386 87900\n7443 58563\n2604 24608\n35351 75625\n77137 79000\n10057 62013\n44468 70700\n17656 76889\n20763 68278\n86554 87190\n99131 99340\n24307 25305\n34594 82468\n30699 66814\n39524 73517\n64049 81054\n74733 99248\n15307 35841\n64554 95449\n1949 58494\n85446 99408\n3490 37715\n20065 74470\n35729 50785\n51743 89941\n47121 64512\n72495 91143\n23914 61132\n22690 73369\n9913 44459\n13331 91165\n25924 57871\n6395 87044\n55588 94824\n23183 23518\n52648 79872\n1041 9633\n33069 60456\n2310 28418\n35394 68978\n30048 93414\n10603 70780\n23779 63045\n67429 79942\n14543 85156\n11737 61796\n76532 83556\n2425 88360\n4576 48473\n88058 91608\n29336 54235\n17308 22801\n68017 84486\n41627 78637\n29693 93484\n26386 82390\n50483 88836\n9343 48494\n33219 41240\n32872 89191\n56401 67182\n20058 42797\n7886 43279\n43418 81164\n21264 36404\n44225 67995\n88423 93355\n2278 61268\n25376 80271\n15979 73111\n69135 87048\n5513 37188\n40360 73183\n32173 79936\n45373 53116\n56253 76782\n7106 86130\n38665 65902\n4164 90605\n85881 97892\n2717 22412\n54218 65229\n17372 79322\n55589 70544\n73617 85109\n13628 87421\n42243 87318\n17946 87724\n3192 71241\n22843 24753\n12051 96169\n30 56876\n42434 56996\n7712 80602\n16722 84164\n42966 78334\n13446 24279\n38193 80043\n24257 86424\n32776 35580\n1981 10513\n35192 53105\n23129 24682\n20202 29341\n4523 83805\n4425 99811\n47882 76560\n42277 56757\n17850 66974\n38897 63103\n66849 85374\n25480 26807\n59537 88381\n8778 92155\n38150 75510\n2273 93951\n7137 80205\n934 92599\n7825 43626\n71751 72968\n23489 23961\n7048 22947\n68963 69271\n15978 88589\n82252 85373\n73151 73588\n10188 85844\n27749 96576\n39854 84240\n61793 69873\n8661 60995\n63209 89074\n51277 95789\n8015 83019\n86989 90938\n20549 72253\n69096 89552\n67602 70093\n28203 34089\n16326 54457\n42493 86380\n30232 63699\n26793 98259\n63477 73853\n75860 85379\n37234 64209\n62368 86785\n77125 92040\n5498 42199\n35088 42427\n16184 37480\n81495 81535\n53793 81063\n63723 83359\n32411 43043\n27018 70505\n20316 91187\n7312 51600\n26031 36917\n70476 80904\n19938 29244\n8410 60775\n620 99119\n6164 40427\n36005 98445\n5469 57412\n66576 95827\n26481 96345\n30881 45476\n71550 92257\n77179 86414\n20635 22573\n46219 84347\n57330 71741\n10082 74126\n57609 63856\n21998 63135\n8438 36555\n2307 49284\n17090 43947\n21367 41829\n40319 85340\n6455 72015\n18513 69836\n28717 79512\n24003 78105\n13056 50631\n59273 78993\n80332 80536\n25276 97906\n67469 76334\n53896 79234\n16453 40901\n28957 77247\n31281 69719\n1315 77780\n16531 56443\n39588 62450\n13960 81203\n29434 97609\n55507 67412\n15443 38051\n3978 98149\n11082 48668\n39153 99585\n1812 54642\n57781 89797\n23030 51260\n18941 82182\n51387 54191\n60269 88612\n28537 73420\n92749 93748\n51926 60525\n26347 51054\n29275 99864\n8852 52920\n15412 49750\n86222 90749\n749 88639\n21231 30977\n47464 91969\n4229 12469\n43825 56572\n31694 35683\n31280 79557\n9419 49486\n13659 57505\n1832 91974\n12448 62862\n25265 52193\n3526 9658\n24937 47973\n79959 85945\n28813 43554\n25450 48642\n68381 80962\n69099 82762\n30171 70792\n40310 91920\n79197 90234\n23037 72800\n17431 57634\n65972 69338\n65718 72120\n63257 82605\n38380 79443\n1545 8057\n6478 47517\n16659 87476\n3617 88572\n1768 42761\n57699 84653\n30905 35515\n82158 96142\n38030 84555\n37081 42249\n578 23060\n15693 63651\n21692 89795\n50069 67637\n21278 99384\n91808 98891\n20508 93284\n28516 78408\n57921 58252\n879 42984\n2416 40841\n57424 67815\n43685 88709\n2407 87108\n30508 38687\n49051 99317\n4485 7366\n31425 68026\n6152 56017\n40683 95178\n45212 51557\n6765 37847\n52771 63932\n57040 76305\n64606 76411\n63534 95763\n36587 80689\n70470 80404\n43753 47134\n6574 81177\n4461 88860\n31139 65289\n61792 65556\n84090 84201\n48096 54362\n31114 87049\n11987 62697\n30890 38820\n11764 13623\n32692 59313\n82152 83603\n7429 9641\n3987 94314\n24214 51654\n16484 27017\n73935 96688\n1196 8858\n17392 49903\n69410 84975\n64282 77116\n25176 26186\n20093 58542\n67197 80064\n10885 21391\n20155 37035\n13592 27463\n9391 33223\n29023 48015\n53343 64183\n83828 94939\n22785 58506\n47725 96561\n87486 92425\n32807 45575\n25805 47909\n33667 96131\n2150 30657\n4265 24418\n8242 85278\n19152 23760\n2908 87276\n27126 49247\n39960 48995\n10301 40363\n75135 83529\n56666 73298\n71053 78449\n35429 71667\n56849 86688\n47071 57631\n5280 76007\n11832 23086\n16624 75871\n6659 68648\n25657 39337\n78362 90350\n8227 98594\n40079 81542\n46678 93275\n9305 25751\n12632 97418\n45260 84420\n15193 58161\n2942 11838\n14502 15889\n90312 95716\n18035 56564\n31350 61211\n78024 86680\n35704 54473\n43407 52292\n22935 41449\n20100 80991\n26387 38192\n38112 45540\n23543 72071\n4273 93072\n53974 94223\n47394 96825\n9896 15947\n24718 66954\n36724 55782\n29989 70163\n17194 31477\n13008 60207\n38727 63302\n75304 75841\n39715 88652\n2431 39446\n1495 34228\n40928 79518\n43506 96924\n1202 75758\n68417 79428\n59201 84482\n23397 91455\n8891 99847\n27991 71207\n37226 76920\n14593 14873\n23523 36272\n13226 99684\n16074 67270\n24883 58649\n15790 44540\n6444 83313\n18189 33441\n26247 73723\n1908 23784\n36980 56089\n2815 40197\n4266 61541\n16406 64891\n32030 92392\n27209 88162\n21703 53998\n47277 77830\n8847 84903\n30047 90486\n78051 99936\n44798 48649\n69923 91287\n13636 80947\n35113 53024\n1489 80266\n27838 98993\n63799 92564\n11320 43963\n33456 66068\n32022 38880\n54923 92743\n6453 96068\n20725 45140\n77861 85213\n5839 97265\n26446 57099\n2411 5972\n13398 49944\n48062 83541\n33456 69428\n26877 53547\n63317 64861\n34999 74362\n8263 76130\n15683 28697\n4788 18731\n66607 97540\n48419 83291\n30464 81395\n25871 64711\n945 58941\n72911 98820\n65708 72969\n19268 49695\n35279 70797\n28827 95954\n16762 67413\n44310 53152\n50034 76490\n39440 96979\n22930 79837\n91841 99694\n17979 97791\n37782 95219\n18692 57204\n36294 47552\n49147 73000\n7958 27842\n1978 32784\n30616 46088\n14264 80274\n20033 58557\n56446 92502\n11584 70790\n5435 77121\n7381 26942\n20498 21244\n3925 21702\n4730 79844\n6548 73297\n2335 68710\n1549 35376\n11954 38073\n52244 61587\n52420 81826\n8530 21744\n969 94771\n21376 84863\n10104 74333\n6707 27233\n25343 66458\n20161 65176\n7366 62683\n29926 48157\n47565 88607\n15408 61978\n92881 99874\n9451 14859\n68285 84171\n59893 61775\n10839 64163\n40956 67031\n14873 86524\n11798 84815\n66280 97960\n36562 74015\n40061 80566\n78791 95920\n7057 69071\n38583 73895\n4073 12179\n21708 72995\n37681 72445\n12183 84293\n35462 71462\n32773 53752\n10420 20875\n36844 50262\n28621 47379\n67372 98975\n51900 91821\n24929 26971\n14118 81139\n37041 97090\n5133 30969\n28244 86911\n52694 88419\n18780 48065\n14017 24819\n39059 91248\n85099 86819\n24983 72252\n9107 22143\n5407 39900\n18704 41792\n35988 95307\n7622 30070\n63649 84081\n7414 83035\n88639 94350\n71851 74688\n27852 85220\n14363 59311\n92799 98612\n42192 92352\n72608 88834\n71425 94282\n64305 99554\n9733 23515\n56783 89803\n4278 43890\n45219 94782\n19952 24293\n40372 79413\n4075 12235\n17833 97275\n8771 92099\n49502 65953\n30709 57963\n3808 91203\n36860 42763\n27539 63935\n42962 77088\n30468 92053\n46490 71527\n52408 96014\n61043 74776\n36615 70771\n20763 79786\n67220 67902\n37397 98371\n41192 47610\n1766 23971\n11695 89307\n25752 75167\n14439 95588\n25100 99297\n60160 69570\n21491 88487\n71816 89847\n7105 94215\n92980 93496\n2278 36445\n51478 66853\n51961 95682\n92739 97044\n35108 85190\n64735 73759\n20334 62836\n48909 74262\n55822 72847\n29619 75898\n44028 84884\n18694 64625\n151 84895\n6638 59438\n89013 99257\n31535 84304\n22668 74576\n88547 89228\n68376 75382\n71473 80415\n43552 68401\n22658 35849\n66629 82967\n58625 70870\n35253 93484\n27086 66850\n17291 84241\n11807 27156\n14879 97724\n23250 97616\n18888 31794\n10385 32651\n65753 70588\n35025 88314\n46602 90090\n14972 79840\n2661 63885\n38281 70584\n61258 86622\n24883 42308\n86232 87325\n25919 62555\n25877 72466\n81124 97168\n24797 49147\n80290 84616\n6144 77827\n81060 88712\n26006 64046\n37076 38926\n32153 91722\n34752 49045\n7888 39991\n11403 21316\n34635 84137\n78097 99575\n9015 98793\n43956 88519\n30242 76344\n34662 61240\n3680 20980\n51688 89167\n75916 99301\n82563 83145\n60349 96805\n57309 68214\n17836 53495\n23570 61619\n66949 74593\n15588 51138\n52885 61582\n67054 99624\n1267 27736\n8755 32747\n57423 80729\n19716 85689\n12615 91791\n739 75027\n28302 72883\n10843 50892\n23351 78563\n1319 96587\n76388 91613\n27970 52631\n4946 73685\n58255 66146\n46467 61719\n47419 66551\n24979 62492\n36203 41456\n21534 37824\n46047 63812\n12964 62586\n326 84839\n58290 81060\n33534 68350\n54919 79816\n14241 89006\n59772 96925\n10396 24596\n15326 49860\n9471 86998\n54687 96221\n31443 33663\n34595 74392\n9970 28913\n6812 65501\n11593 89917\n50291 85331\n36437 73544\n26381 55419\n19978 83513\n23697 83787\n25694 72980\n68398 76169\n50010 59240\n26144 40897\n44447 50978\n28281 60859\n34633 76179\n2024 49477\n13174 53249\n12368 51768\n7376 21260\n81186 84493\n30280 82782\n3909 91898\n64016 87183\n43242 72421\n33841 85855\n40372 44209\n8296 84374\n73871 96155\n57256 80939\n30627 90154\n36224 51694\n7892 44470\n664 77620\n1625 7823\n58084 63193\n81764 99575\n81837 86004\n78242 89650\n31239 75949\n15469 85886\n51348 72675\n9281 69187\n29376 50794\n43646 61282\n23298 89284\n7449 36318\n72916 85820\n31305 52859\n77843 99979\n38529 60827\n65591 89743\n27408 77095\n607 95378\n1885 6613\n54391 86998\n26157 74130\n42204 60368\n24527 29893\n7696 42595\n46317 62317\n16425 92642\n65489 94633\n12019 78600\n77526 90309\n2425 37933\n1507 84325\n3917 59410\n7671 61721\n23779 89076\n23902 70615\n24873 49468\n8455 70543\n53883 70289\n55438 61909\n3639 85214\n62041 87506\n19845 96660\n69366 97921\n68641 92265\n35909 91986\n9279 91103\n18532 78703\n60853 84370\n73310 92295\n32687 64538\n76132 91103\n14798 30704\n4000 97665\n6349 29586\n34895 62975\n70809 97207\n42262 88372\n58275 77681\n339 86735\n15660 93591\n11196 78553\n47354 68652\n14624 61374\n10834 66165\n1949 5747\n25876 87552\n5915 86842\n79417 89230\n4356 25124\n17749 44637\n22084 66893\n3450 40227\n22530 84420\n48741 92465\n12436 37093\n28991 91173\n1741 53615\n739 76005\n7503 8193\n56649 75900\n41050 62453\n70486 84776\n24480 33492\n34689 42684\n41874 94512\n48538 73959\n23204 39172\n21867 57079\n59652 74777\n33381 46180\n36817 68826\n11703 60721\n44177 89279\n38932 49512\n1971 45070\n28859 44310\n395 9444\n85339 96889\n51032 51153\n1581 15761\n19007 64302\n44563 85023\n52818 58465\n9255 57309\n46503 95913\n4364 56980\n45750 76510\n21771 86895\n82291 84450\n37168 54203\n77973 80395\n30556 38171\n32604 51810\n54441 91261\n28680 99164\n49677 50468\n7388 33842\n23784 61456\n25856 54470\n12390 55026\n27043 93058\n24182 56324\n34076 86548\n24799 57792\n25888 59774\n9785 39465\n43365 99907\n35795 36330\n50582 62278\n44266 99836\n80633 83233\n30664 81949\n2608 85555\n23819 51523\n81974 85548\n22341 36735\n84476 99757\n3376 26514\n70120 95920\n7699 35037\n63265 86675\n28561 97104\n19992 41076\n45057 71602\n9670 52818\n32218 34396\n72412 98385\n79988 81495\n30529 37683\n8584 17604\n8533 71614\n69988 70258\n36127 64354\n48932 88401\n74483 81797\n29119 61929\n12288 23084\n14944 34315\n71830 80073\n55941 80802\n83145 92907\n4584 58571\n23287 57083\n4908 30837\n7568 80777\n89386 94409\n82089 88913\n3398 50396\n46428 92214\n24332 35848\n13531 58425\n63473 76384\n9661 70450\n16890 88053\n7227 32386\n49314 95419\n89014 97296\n9204 23745\n49583 98566\n51237 90303\n4916 26694\n15106 89161\n47314 67406\n18827 84750\n53739 54976\n36758 59936\n24538 91944\n16767 61302\n5022 90760\n4501 25309\n37293 65925\n63788 98305\n26322 82613\n18623 43914\n13934 92338\n87102 89022\n75431 83905\n16520 26424\n39033 99803\n5474 15719\n17704 73584\n31157 82513\n6072 54130\n8800 59597\n73765 84589\n53833 97292\n69878 78732\n70200 97488\n81060 89838\n66867 99588\n74022 77587\n62419 81113\n8651 87683\n11853 73080\n10994 66985\n15716 37678\n30458 91352\n73374 82351\n27935 29711\n10268 93230\n16596 89487\n54610 73923\n10321 87330\n49272 80890\n2470 73230\n22062 61762\n23825 78780\n54248 84407\n50248 56207\n2017 35091\n62283 83069\n34005 44993\n12186 91052\n64867 75362\n63742 75237\n25286 62095\n8093 79524\n22437 79178\n90382 92021\n42375 51685\n32211 89143\n9797 57676\n32507 77168\n4069 20050\n19031 86920\n4546 59428\n56725 71664\n34939 52462\n5089 49943\n80675 84922\n24575 93704\n22997 44242\n12225 15555\n52433 79655\n64266 84107\n49503 67031\n18153 86205\n36849 71233\n80421 94586\n612 53115\n61455 76514\n12936 98571\n7000 26685\n28209 90850\n38317 72132\n54765 78479\n12173 88636\n11344 11979\n46009 53189\n28106 55375\n59439 72301\n6662 81808\n31790 77981\n42344 54259\n15922 26125\n34045 78925\n81890 90893\n32133 75033\n74674 82956\n7701 97696\n8052 78645\n19347 23615\n6757 22789\n37037 97323\n30543 60197\n15016 64732\n53845 65086\n32483 45643\n17124 38669\n33668 47480\n83756 89571\n61673 80330\n58098 98942\n2530 38523\n58865 88071\n51876 69289\n30657 61141\n19313 25279\n29527 79849\n9694 97217\n48604 56202\n18887 43645\n41690 98664\n73387 87650\n16442 25118\n2000 46927\n60056 86017\n1820 81457\n30080 69940\n36343 93286\n68261 97171\n5420 94538\n10413 47284\n37601 63668\n15873 64799\n19099 82317\n25565 60276\n15448 70306\n95084 98906\n26538 52196\n33163 90320\n66011 85371\n36278 48852\n1981 54140\n13374 46396\n40869 84643\n54021 69777\n3107 64928\n11761 96564\n23520 31097\n54703 91416\n23494 25392\n24606 53308\n40494 41554\n9428 90137\n38377 78252\n20534 73854\n37785 96511\n14867 54502\n24773 60351\n33963 50435\n26046 36868\n14790 69976\n35291 40922\n29167 94212\n80773 97211\n2390 35766\n75397 85257\n35600 74979\n7864 26944\n43958 75711\n36583 52742\n26353 37810\n83032 88428\n77151 89842\n14723 59629\n18244 77567\n44691 86175\n34345 66094\n48514 71389\n9249 62552\n21775 34775\n10486 61344\n39129 92019\n22923 58705\n41169 55687\n64980 76664\n7672 63500\n89235 89445\n64706 98354\n35746 88312\n43622 78440\n55096 82871\n1906 79423\n19340 37155\n40466 85044\n29077 52304\n18738 52743\n28398 29703\n26156 61394\n55308 74551\n55208 87507\n97202 98793\n44799 92340\n81770 96326\n26796 59264\n15285 93741\n13372 46949\n30705 88695\n50542 72986\n45080 79852\n24157 34621\n28627 33346\n82319 94687\n10629 16580\n11717 94209\n61578 94350\n507 7800\n60181 85636\n20171 56577\n3097 42112\n18142 32927\n56578 85048\n58052 85666\n7854 48121\n8327 43821\n45778 69645\n22510 89504\n25948 47759\n31755 46636\n17642 51200\n52015 77544\n76756 84328\n20573 46167\n31992 50993\n85143 94883\n66863 97550\n41138 43773\n31325 64311\n396 11581\n74966 90336\n48750 50954\n69942 89452\n23300 33902\n11359 88186\n6095 99097\n68739 82719\n4438 52791\n18350 73524\n48223 59509\n15817 39249\n40222 82834\n3617 99656\n59456 96774\n8315 24049\n13994 76964\n59781 63148\n13115 25436\n9395 66965\n5739 94031\n34005 80176\n35008 46588\n795 78360\n21789 75078\n46265 54723\n3804 58364\n8433 16659\n59740 65226\n66197 95358\n57396 72332\n20330 50653\n58808 89766\n39132 77246\n5796 48612\n51682 89534\n621 35666\n1201 73137\n21340 50826\n10750 33127\n32880 57449\n35281 71061\n40727 64521\n22412 84543\n46745 68142\n75776 84139\n27797 47014\n64413 78902\n56075 98547\n22208 61713\n80527 98206\n72986 76683\n38541 94199\n8269 53682\n39097 79195\n10384 94401\n27899 42228\n13964 67951\n43583 92404\n11605 49154\n48752 84991\n36763 71354\n29914 67857\n16107 71066\n33198 49454\n66538 81844\n93883 95594\n45526 56388\n24219 61319\n70530 78709\n8448 59895\n66158 79001\n22977 30710\n47314 78302\n28623 67103\n31974 38137\n66566 97516\n22767 62224\n46381 55265\n18196 42163\n71946 84659\n174 9006\n42104 64793\n51985 65884\n4868 56641\n3905 11141\n32415 45772\n553 16117\n33217 69805\n13205 60343\n65138 72665\n4910 23232\n23425 45351\n14699 35004\n20015 97768\n42068 51266\n3814 21894\n54670 80148\n37375 50630\n21797 27904\n12785 75210\n30063 60164\n36580 76199\n52875 60970\n7112 93009\n27441 39246\n58185 95731\n13631 74880\n21763 76874\n37165 56544\n40101 94488\n56774 98797\n5295 76874\n41664 55538\n47899 68297\n7776 65108\n70820 90255\n20201 58509\n21224 23817\n3089 82896\n68053 85501\n39839 68335\n44931 48157\n7260 89376\n52181 60328\n1563 40609\n71848 92268\n1707 53817\n60898 78144\n63117 69833\n35576 81276\n55034 68896\n45798 98191\n4076 8810\n23688 38508\n34448 63688\n30159 38483\n58497 67768\n16916 18030\n1788 81604\n29638 88486\n44475 84171\n12134 56917\n18746 30679\n31480 51670\n31867 35249\n29969 84672\n25822 95894\n5647 65838\n39447 40041\n6112 9436\n61804 99575\n2189 76415\n20039 89925\n89124 91915\n6719 41655\n34005 53808\n21664 96889\n15784 41730\n7592 47489\n14615 86576\n17038 62456\n35382 82379\n27365 48642\n37491 61150\n14301 73651\n42557 43107\n10590 94910\n43057 57110\n47109 60454\n55013 91676\n19976 47909\n11958 13508\n19200 37618\n25652 86555\n20345 70090\n77798 91542\n41421 56635\n61146 62324\n3878 82827\n12196 49384\n2506 86210\n1385 32096\n10543 66260\n53675 79756\n31891 41010\n29486 72326\n32526 45377\n87508 94053\n6125 97661\n23555 83082\n38721 99303\n30973 74732\n14723 33510\n32966 98506\n2602 99805\n68457 97656\n69833 81979\n2429 39752\n43892 69929\n637 40930\n52747 55328\n55431 96616\n42633 87807\n31185 34522\n61020 85396\n4091 92374\n66456 86753\n35593 45256\n58764 77192\n20659 87788\n68555 80365\n32014 50589\n6759 82472\n19371 47707\n84436 96543\n37829 77932\n86423 92705\n1625 98640\n77293 83124\n48144 65105\n85977 98069\n5819 52982\n52783 72115\n23677 28199\n5429 20426\n11299 30435\n2299 6281\n15130 90159\n1187 86517\n1197 71262\n64184 74973\n6634 61770\n8762 57403\n8814 13157\n4977 43493\n6246 48469\n31202 86258\n26414 73090\n180 81182\n3680 37405\n75900 87473\n44646 64077\n2363 4494\n54899 67168\n49486 58775\n15145 63607\n21203 50294\n3421 51379\n5129 70982\n8190 45375\n3899 44098\n26522 41318\n12939 69593\n16168 92994\n12560 47455\n53447 91996\n17945 65786\n18601 83858\n2295 47720\n58397 95407\n39613 86480\n52641 85153\n73325 84583\n48819 87709\n68317 97214\n22887 26018\n69952 89755\n15055 99843\n13825 42169\n46501 51869\n38227 68980\n92105 93139\n19475 98110\n64921 78220\n42999 98180\n18518 31986\n2834 67940\n16879 48523\n41361 54982\n24200 34172\n10788 56168\n21631 75284\n28120 33563\n12169 41985\n18683 96966\n10946 27373\n9650 11137\n71063 72896\n53251 83810\n69016 96683\n15757 71979\n53192 57675\n66377 89604\n4370 60875\n4091 29060\n74473 92962\n41367 59354\n14196 93573\n11921 44076\n64826 98666\n29582 38279\n61710 89213\n30134 39273\n54963 85748\n53466 97788\n61170 89582\n10731 62848\n63022 94888\n21504 28130\n7002 54241\n3785 74822\n36531 76923\n49945 61227\n90980 99484\n55011 57984\n44062 70203\n60693 75283\n46522 80008\n606 69850\n32728 44558\n75792 83471\n42668 89600\n12653 71192\n2718 40587\n49182 64603\n2632 45986\n13476 43766\n15771 61298\n65706 67884\n9711 43176\n46571 93599\n7836 10311\n28597 74819\n55876 96484\n92695 96748\n9588 57151\n37809 59433\n66626 70482\n41055 84675\n14446 55540\n24544 68804\n28455 36540\n5134 16571\n2973 58589\n1902 57079\n13429 26404\n88194 92243\n21060 57166\n22715 72047\n12144 93352\n56246 76829\n33643 37016\n53479 70022\n5663 74842\n58938 61208\n14423 72441\n46178 98213\n25198 85413\n66707 66965\n64755 76208\n10510 69433\n2150 3534\n22951 94626\n7821 99033\n69061 91149\n33456 73999\n63057 93307\n19241 29593\n10355 58686\n42767 80676\n44529 75664\n40537 60027\n958 77693\n42591 86787\n34315 72850\n16195 99565\n63741 77719\n33498 70798\n22469 28175\n29398 52471\n48149 57615\n33317 39594\n23160 40076\n43146 60846\n27427 67691\n26317 70896\n43276 74026\n28112 78053\n23965 37747\n14061 99207\n8489 68229\n28317 53541\n79241 89177\n9181 86682\n9506 89559\n36244 62520\n656 70856\n20927 51178\n69505 70748\n21724 56394\n21818 53787\n1235 53899\n14041 28248\n41104 96058\n8382 88253\n24908 45947\n71864 98681\n56008 88931\n15497 96088\n28901 63138\n3344 29068\n64643 76065\n47601 86433\n6366 48016\n24148 91139\n30935 44730\n38357 53994\n34689 80856\n20955 71958\n28232 56929\n4295 16319\n19421 36720\n55999 70053\n57043 69940\n7961 89322\n57792 64697\n11954 51545\n59055 64617\n35121 40862\n26691 50918\n49628 54202\n48890 80933\n3583 35428\n37092 66441\n3818 42247\n37576 54131\n2204 28820\n17366 68971\n71866 91533\n49529 54191\n32251 68079\n4882 65729\n53682 56958\n56993 64463\n971 11523\n48927 70234\n64197 98475\n12836 60554\n4473 43582\n29317 82076\n45961 98408\n13936 17193\n60382 70830\n13171 20735\n43928 72008\n41993 50201\n73686 96638\n76733 91048\n30193 33483\n14575 36686\n1197 88969\n53125 64389\n48865 63018\n73237 87603\n18956 41175\n10757 97821\n49227 57525\n3501 53763\n61379 83910\n1281 2720\n42468 44508\n53108 98120\n9440 48059\n55364 67395\n40869 80103\n87219 93770\n1431 53485\n50074 81418\n26709 58642\n654 63167\n39291 66025\n33400 91367\n21264 50983\n1929 48586\n24673 63059\n11508 76617\n5066 44454\n59508 73465\n61199 83268\n14536 15857\n9290 32765\n44773 50081\n23649 89035\n53448 87955\n1711 10782\n22105 23456\n14748 74794\n14323 48927\n4876 75209\n2020 71672\n13927 18576\n64955 99110\n53967 84390\n52327 60747\n8483 68418\n8826 18912\n45225 97362\n25651 87282\n6077 89723\n20999 81603\n23147 61240\n46208 46422\n2512 97687\n71129 93221\n41012 61162\n15240 36447\n74822 85787\n22734 98612\n31933 66224\n28476 78276\n52379 55088\n75094 92375\n1253 15274\n1662 77290\n35552 87544\n13260 35194\n28635 67303\n49333 82923\n24329 68105\n32759 93864\n36507 41472\n39683 96408\n83551 90856\n9936 59985\n2130 7649\n28026 59640\n74434 77290\n14713 76767\n60437 98284\n1685 56313\n76470 91018\n42475 66897\n46860 77775\n10638 61987\n40217 84345\n56449 64103\n49506 95290\n62757 80649\n8208 82995\n77979 89399\n9894 12541\n74745 74896\n24135 69491\n65566 74594\n3 11046\n77514 77685\n25530 46929\n65182 94535\n184 8743\n78529 99361\n67829 83605\n63920 75641\n38123 51116\n66559 94099\n15805 38215\n53477 81616\n33169 64168\n23017 97859\n51405 62998\n40865 86743\n45486 84829\n61762 63893\n43047 82924\n27622 86120\n16258 86398\n57732 79479\n65897 69332\n6409 10545\n17260 22107\n7742 13152\n53245 99217\n40401 50094\n46866 52665\n51645 57337\n31065 78672\n56267 60416\n60067 80089\n31057 71584\n17810 43385\n26196 90530\n41354 75772\n34715 65998\n48846 61460\n25815 83305\n41962 78239\n57018 89987\n5137 53953\n11227 49376\n37458 84712\n23155 73766\n53216 74047\n37753 47308\n14839 63406\n94038 99179\n21261 73392\n26742 32209\n7982 53179\n39437 94345\n33299 98348\n12013 23915\n38500 90458\n46411 96598\n26850 65487\n6347 95430\n32128 37663\n47509 91412\n278 14614\n13202 74992\n44457 48841\n21574 24353\n10198 16016\n4389 72063\n2947 11456\n30549 36247\n50258 93582\n50612 77943\n64901 91222\n26635 93798\n78909 94791\n11744 69993\n21612 64907\n49153 76322\n7996 26651\n33080 42887\n7389 11773\n45413 75732\n39710 82319\n59162 62440\n59952 87252\n82083 96284\n3504 78900\n36120 87428\n65140 78877\n12958 62301\n53712 99274\n23398 26272\n21503 74779\n37539 78033\n70170 83636\n46103 98896\n53772 74728\n45690 68962\n49971 98619\n52535 86971\n50615 76592\n19855 32821\n4072 22020\n10835 26265\n12942 44096\n7986 33515\n13830 28245\n27676 89668\n16095 71511\n39418 99879\n62876 88056\n52608 83596\n65882 90534\n26867 91256\n58159 70122\n69117 91893\n77816 89274\n14812 74719\n39500 56717\n5374 59030\n34874 48710\n22016 43417\n24881 75564\n7497 13560\n3865 65421\n38006 50223\n19855 73817\n2461 10452\n42361 69545\n47896 77027\n32598 49918\n18367 98049\n16087 22733\n18004 38149\n48109 54721\n19061 52318\n29371 34895\n5069 93669\n95904 99110\n2444 25513\n20567 39330\n34465 77903\n11485 84610\n42077 60280\n12658 71311\n11299 11829\n2389 53609\n41660 57937\n41584 48861\n72331 85694\n19313 94169\n41766 60799\n30998 61048\n7401 13785\n9996 56954\n46278 67297\n13626 26083\n36324 68100\n3832 95572\n16404 46177\n58364 90848\n46703 57569\n18499 19657\n60714 81053\n62101 70843\n21118 44106\n55652 85837\n12153 56298\n39783 81131\n405 25735\n38372 49371\n36293 84146\n75479 81433\n87873 94610\n65200 72619\n11551 34158\n65258 94860\n26005 95245\n31159 48189\n3392 54674\n11578 55800\n25084 35973\n43318 70193\n5798 95366\n13027 14041\n30283 65244\n86067 86120\n50783 73671\n19721 46158\n58136 75454\n5886 22978\n6318 97232\n84385 89837\n21195 26748\n6614 66972\n28079 43335\n24262 52020\n10487 68708\n8901 73536\n75837 79818\n76132 79951\n24250 91653\n21871 84856\n46780 57122\n34906 70855\n61347 86855\n21532 58548\n24529 37779\n30294 89842\n21375 76036\n79763 96895\n37828 76137\n34987 43742\n44217 83180\n49761 78085\n88806 88881\n60248 63575\n21522 75725\n10535 20796\n28820 83606\n1640 40258\n299 31865\n85429 97110\n49302 51495\n18072 64156\n21095 56173\n66150 75759\n38613 40716\n6630 12889\n42422 71700\n79998 86338\n40555 70260\n18753 79347\n49776 77934\n59535 88710\n62207 88275\n32964 67501\n12479 52921\n36779 38024\n78459 90525\n58812 85899\n57353 87854\n97779 98463\n36234 53099\n89072 97625\n47129 56642\n33122 52484\n29759 34094\n20503 60901\n74251 82855\n94852 99974\n20286 70230\n53166 83343\n42521 78476\n48588 98393\n64312 96141\n52717 79020\n66295 67533\n28106 64585\n38487 48157\n69116 72165\n83927 92025\n1540 80752\n5452 66435\n72637 92464\n36683 44222\n12088 75155\n40076 76973\n3315 41991\n11338 11571\n5314 46645\n17091 96820\n30405 61886\n33499 38199\n42091 49415\n64018 97335\n34997 68131\n6086 86632\n4693 76744\n51123 72038\n34545 74112\n24682 92346\n5415 82139\n10504 14887\n9447 85446\n65058 91411\n54147 95782\n5615 88346\n2019 98731\n53748 82430\n3425 20557\n61528 68503\n8829 62554\n35133 43636\n19555 70286\n38215 75940\n19210 65489\n18238 81548\n42845 96003\n2137 53394\n8105 61021\n31954 51941\n410 2105\n88676 88940\n29882 68923\n37530 39605\n74048 79699\n71341 86002\n5738 14944\n70731 86631\n458 84789\n70540 84891\n2199 55464\n80427 90268\n45442 58022\n10819 99101\n94204 99433\n13598 85738\n22741 97978\n1298 19810\n44579 97470\n4550 4559\n18563 77205\n13617 99482\n15195 71061\n59331 63129\n10851 67684\n10835 49385\n56159 71190\n84720 89195\n40598 84115\n40614 61476\n4064 17516\n22256 35524\n60621 82339\n3981 98879\n55985 95905\n20891 67166\n58011 89337\n3706 31196\n12101 21672\n59809 79689\n34929 75956\n2368 73914\n23397 61415\n7597 50513\n89189 90495\n65664 86923\n27972 73635\n14584 70613\n1083 37249\n10578 55092\n23542 82419\n1124 14191\n18993 55937\n52005 87600\n32891 84198\n68318 68596\n22782 54085\n39959 58063\n1531 91073\n29629 35441\n66137 92644\n37924 70518\n17080 82729\n30752 55437\n6313 99563\n56574 85498\n2244 76499\n59815 89145\n59711 60697\n87990 96336\n93091 97037\n43267 96461\n721 42595\n7864 83562\n53576 79723\n25194 37973\n22082 56028\n5605 38832\n78415 98323\n5038 55401\n3647 37577\n21638 25178\n33542 84107\n11356 57337\n28395 74905\n26938 45702\n16097 44993\n37505 93629\n29891 62303\n22087 34150\n62436 85558\n51367 75742\n57947 77361\n62401 80158\n23017 49870\n77740 91690\n50195 94385\n12854 99376\n33729 60889\n9557 19064\n9112 58047\n8854 30474\n22095 81211\n12099 15795\n97450 99135\n49073 62815\n20946 40895\n15261 34013\n53171 64183\n70124 98568\n25390 26204\n50358 64094\n53131 96967\n476 84346\n1332 46069\n38619 48407\n42551 57682\n69045 83142\n10491 23417\n20318 48533\n75599 75712\n5300 22359\n22155 49089\n34192 83268\n33497 37862\n38431 92383\n43754 51676\n19307 81039\n16860 35381\n7882 32815\n14681 78268\n21765 68515\n51576 83860\n17233 41318\n47674 51296\n42575 67332\n12404 48035\n40576 76193\n18275 55498\n33125 48211\n36410 70051\n55699 67922\n27521 58527\n36868 68014\n3195 36341\n25638 48138\n7454 36931\n35694 36079\n37307 76916\n83155 94957\n1851 46652\n97784 99849\n27790 50753\n24672 45577\n15538 77870\n44616 51055\n27484 83168\n3386 24097\n26359 60468\n67789 77384\n14647 54522\n62344 71913\n76524 96790\n47613 95606\n9140 42696\n7818 85649\n48829 50000\n49289 93038\n64233 99794\n32217 67822\n27813 34859\n56980 78313\n20511 55883\n24508 80262\n24888 93236\n71746 89399\n13853 15214\n81242 99063\n43523 48196\n23786 44390\n36780 64490\n39611 39730\n41071 74111\n18824 31150\n21790 49941\n72247 90022\n39131 67728\n64212 68887\n19432 61027\n26604 62623\n61067 83470\n21631 73384\n24210 70610\n69426 97593\n21517 52333\n46839 93555\n78803 80241\n41180 55152\n56367 82257\n22726 76838\n37233 75956\n42385 63064\n68655 78643\n23934 94033\n93663 99092\n46481 87092\n6889 24188\n32899 50730\n34481 83559\n50676 83376\n10779 85502\n72129 83367\n1747 21878\n36658 63183\n34981 63287\n41826 68827\n9870 56974\n75840 99733\n23498 93588\n39234 42924\n56170 73303\n44162 93010\n61407 99454\n22289 68280\n2801 48512\n28622 40701\n76839 81581\n28104 69555\n3490 27429\n85544 87196\n3921 15470\n15276 22759\n17898 97817\n8568 17969\n43593 86989\n55981 66329\n32906 65679\n24300 32758\n18239 81475\n50024 66799\n10076 48903\n12243 88045\n20153 55752\n16110 34190\n20848 64970\n805 7715\n58788 90093\n3963 85548\n1509 88801\n3683 24742\n52330 76520\n34771 43962\n552 70173\n59126 73271\n12193 44366\n32897 71532\n64773 80002\n31339 37589\n1629 47166\n85941 98555\n55509 89309\n66027 72241\n80580 90729\n40540 47000\n43511 63154\n25997 56307\n67471 89517\n21654 24221\n75339 90587\n83847 93650\n27768 65361\n15563 75990\n31817 33485\n26047 32007\n47809 54498\n69153 83485\n6240 52201\n22110 54968\n71119 77337\n29815 74134\n10991 54032\n19456 71348\n49139 70913\n26972 98823\n26487 31600\n14909 21905\n17162 56175\n38061 76184\n67245 74945\n54450 61586\n1085 27269\n14592 16734\n38435 78203\n63967 82153\n36444 79560\n11389 45936\n10057 81378\n58895 97488\n9099 46317\n17566 40600\n21134 98540\n10976 65407\n43194 65215\n70147 98117\n46944 58133\n4926 27464\n37353 49371\n84920 85575\n8646 23509\n20819 84560\n74823 78427\n90059 97320\n28535 69662\n29461 63384\n42491 72928\n478 37106\n66047 75625\n4676 12754\n1995 16090\n20862 76667\n56096 56950\n50300 84159\n16751 50076\n4264 94921\n51538 61940\n48636 87780\n5488 95453\n93687 95081\n27594 49889\n38888 40509\n45245 89893\n29391 43432\n35079 82779\n5317 74950\n47492 63366\n11544 48906\n28826 30132\n49830 76056\n19556 81646\n22487 92468\n38527 82996\n3358 41537\n15808 43589\n83563 93834\n12181 51105\n22644 39104\n31088 71389\n6163 63990\n7203 64648\n26333 61436\n12342 67894\n42798 91186\n36314 84067\n75613 89771\n31235 45512\n24667 53525\n40133 98311\n59864 61981\n26703 35147\n37487 39977\n19741 89950\n51919 53977\n56873 71121\n42838 71310\n18537 93039\n91351 92016\n31035 50535\n45042 49260\n26669 77049\n27408 27455\n55552 79536\n3207 43860\n317 10311\n24077 95582\n44778 95948\n17973 86839\n31811 80577\n38449 83751\n95867 99090\n35263 79205\n27605 75078\n31726 88705\n6272 62494\n15607 36017\n44184 65774\n45247 49625\n13918 95165\n59180 95490\n51318 97539\n61976 76511\n11953 63200\n11143 47265\n25527 88284\n19537 89171\n2185 50341\n2282 85820\n16698 93564\n849 30897\n33410 96520\n37145 37673\n3343 95432\n35380 56486\n7840 63286\n23630 98981\n12808 23062\n9007 96773\n3212 28134\n71053 94035\n54113 73591\n32630 46538\n17247 80019\n43640 48444\n33570 81826\n59372 88932\n41693 58883\n24519 28957\n33419 77858\n1171 3732\n65561 65669\n3714 86798\n49 13851\n66861 88611\n4821 7415\n52352 88368\n1319 88879\n44534 49462\n61471 97366\n39229 76418\n36682 46883\n21443 25155\n81057 86943\n20882 68491\n9641 14784\n15448 65563\n28448 55364\n22906 76080\n33486 59962\n105 94367\n58198 93891\n31148 40213\n76755 91101\n28744 95675\n65821 78290\n6269 17432\n36131 90099\n422 10941\n11368 21929\n90624 93490\n17763 54139\n15054 28996\n9240 73251\n51276 75682\n30224 86673\n6129 60053\n30898 41159\n763 59223\n9213 69686\n7506 48639\n68001 76752\n6596 91909\n41845 75910\n17349 42376\n29169 47218\n1522 80916\n61402 62040\n42412 77015\n18277 31857\n81937 98066\n37981 43280\n33710 61828\n46656 69682\n15755 79074\n29909 70716\n70394 70826\n42254 64771\n63566 95647\n52702 84204\n41030 92019\n11782 43639\n45815 86073\n31932 51371\n4058 17461\n34352 78868\n55819 92791\n83930 94157\n3362 49135\n2761 23368\n69769 97257\n32404 50984\n8231 16580\n5607 44581\n77381 82833\n3558 74587\n48524 57182\n2626 98501\n4009 45630\n12882 48583\n2965 31630\n42935 53045\n919 61310\n36554 71584\n24577 59005\n23010 50663\n33465 64685\n7427 53836\n34235 84399\n35365 98937\n76255 95824\n22223 69189\n4036 77034\n4566 52711\n5803 79656\n78160 90080\n40708 45845\n47255 85562\n28437 63357\n28376 78240\n14047 72989\n10015 29856\n13344 51471\n6441 70673\n9628 64702\n5856 97061\n54189 62213\n32659 97066\n34902 97284\n30559 60031\n30089 83082\n17617 70128\n29946 98502\n17578 37879\n21609 60095\n27919 70105\n6809 42242\n16109 40541\n60963 90578\n6263 79240\n54348 90361\n47056 51648\n20633 65740\n25963 43961\n8932 48361\n10496 87427\n68871 90800\n39016 52954\n22067 43536\n4003 76422\n1079 25506\n11966 30175\n490 10093\n8164 42356\n49548 83973\n23061 93352\n35400 64650\n14605 26839\n9425 43453\n46652 96546\n11945 70699\n71424 93478\n37940 45380\n61072 94655\n26106 45164\n52707 66767\n5873 91452\n65886 80384\n53408 79193\n29135 42559\n14534 38706\n44223 94512\n14895 83164\n37464 51884\n13147 14299\n56008 81994\n7475 98684\n63821 65682\n29348 99456\n6714 41053\n68450 97823\n37368 92269\n19038 52335\n31876 69213\n57523 82611\n68424 82636\n72909 88670\n13439 57785\n20399 84272\n28857 57360\n4870 91020\n34131 57445\n38281 93922\n6277 19656\n33440 69336\n32670 79173\n6110 70120\n54454 74371\n38654 51488\n89264 99883\n19775 70256\n75097 77535\n5043 62225\n43824 97499\n51098 72201\n40753 46890\n9561 60821\n8531 46530\n155 51563\n71374 78187\n62110 78469\n42192 51658\n20312 34430\n9479 44611\n64037 90429\n72629 85507\n1399 79418\n25126 81294\n1184 26762\n88415 96933\n53909 74034\n35185 59967\n46902 94835\n39716 94844\n72098 75718\n28552 50739\n43140 60415\n36318 82987\n21944 70122\n51362 73669\n13266 61502\n21918 97930\n69523 94141\n89718 95531\n16592 46361\n13173 98608\n20188 52780\n48461 53565\n16094 39414\n78200 82661\n73180 88798\n16787 79905\n88195 96300\n4187 99098\n36975 87437\n37056 67072\n3523 67536\n40110 84713\n5617 45775\n3651 39291\n63422 89314\n40357 59870\n3048 39612\n36344 89106\n2241 45108\n49013 69745\n27528 92674\n16460 57158\n5633 17816\n18595 73842\n2449 81057\n22155 32273\n44376 61411\n39195 95511\n33447 95873\n4902 63818\n904 10636\n61065 84431\n45607 76692\n60855 66806\n85525 87502\n11051 74171\n16376 62710\n47544 68851\n21944 49343\n59257 65089\n9886 57033\n60138 88633\n22503 70626\n43608 61386\n44943 99851\n21135 30437\n47202 89099\n85052 96895\n22019 42501\n6418 35984\n62099 79074\n7494 23774\n28669 71631\n1944 22194\n23344 65527\n29961 97353\n18989 87688\n22970 86595\n31868 54151\n26686 74911\n351 69503\n65373 86059\n30135 92293\n40425 84899\n16764 73223\n28805 78433\n17536 68420\n32867 98059\n30804 79567\n14296 48696\n36358 99623\n5689 92350\n11526 28109\n6581 20013\n18241 35937\n10046 78445\n36686 91656\n21046 60176\n30321 53146\n13084 61670\n69966 88566\n18692 98891\n29987 68341\n39835 65953\n48 88926\n18510 21946\n9510 92989\n9274 64028\n7339 77943\n62372 98297\n10754 20124\n12717 95234\n23330 63363\n15070 88100\n64044 97249\n63238 89827\n1226 55993\n10291 19978\n30244 84381\n50717 94398\n8516 83546\n323 74754\n34226 84130\n23144 23781\n56379 76795\n62283 79591\n41630 83985\n17513 28292\n23171 43542\n67180 82687\n3463 94860\n16291 52751\n39350 94310\n1192 56880\n33277 85324\n927 30404\n6611 61752\n44404 64632\n34601 93541\n9562 35986\n67704 96464\n5120 10403\n16828 46499\n29463 49292\n95484 98315\n31625 92926\n45911 68646\n6477 64151\n62844 86836\n23594 70649\n60620 89859\n32191 48613\n4344 39645\n31655 90446\n1134 32907\n55417 84766\n94106 94702\n57540 98131\n16733 55755\n32028 94434\n73294 92388\n12870 71813\n2781 30163\n30514 58514\n69162 88586\n16544 22175\n37207 92898\n50344 80764\n16762 52321\n39424 75441\n36583 93120\n13053 74741\n11300 90627\n2569 16566\n6460 49590\n71254 85620\n45183 60328\n84221 91387\n37614 47704\n9760 63172\n58549 72579\n60493 83467\n26995 95047\n11655 21782\n27602 37548\n23557 95442\n47668 56270\n213 46654\n45215 73349\n53846 64703\n53880 80068\n11486 73144\n47904 85426\n28583 55452\n80381 96814\n7218 28452\n7640 49139\n46838 72307\n11346 36304\n12562 84217\n12243 20877\n39308 46648\n767 15432\n8723 95621\n18758 91918\n4688 16768\n1296 86120\n52971 96869\n21867 31049\n63057 66139\n6191 82548\n63296 81015\n14698 83975\n14155 48824\n37518 68450\n28139 47252\n5716 83122\n31460 70233\n3838 57783\n55318 98852\n18681 57106\n64768 90585\n18035 87775\n17058 44091\n45103 48244\n22636 56764\n19333 70836\n31600 37586\n16117 72655\n61958 81332\n14805 83730\n59533 64547\n52799 67181\n12071 73809\n35541 64278\n25586 39444\n33715 69442\n18100 90233\n92688 98817\n30785 47451\n7833 19209\n30666 94347\n38074 69085\n40976 45024\n27187 49730\n24357 26622\n34357 84164\n13261 94191\n67565 68635\n4433 75316\n5488 80954\n37125 67118\n11537 42318\n49645 99334\n60174 67288\n43451 98604\n23809 90345\n5041 81487\n28366 82342\n68793 98451\n11230 35333\n23884 66386\n16850 40924\n35936 45873\n22705 71901\n50071 63403\n1477 14103\n5749 27436\n5447 17483\n61573 82927\n30448 99144\n25211 36163\n74328 97523\n69489 84795\n71969 94731\n90856 94036\n28098 98939\n28462 91446\n37063 84799\n8963 78765\n9069 77897\n56108 70497\n39557 42521\n74755 88726\n261 1760\n64564 83331\n72750 93512\n7678 93988\n24625 49869\n10277 76470\n56360 77610\n79889 82717\n33757 69661\n3894 22735\n65853 76042\n4220 82127\n43970 90359\n7584 17292\n18797 30680\n8563 9387\n31071 55037\n72015 82281\n34442 73102\n15553 48987\n62166 82074\n63024 88858\n32946 68390\n39190 44169\n46606 93487\n5829 24079\n56146 63862\n10528 17629\n48265 67307\n35453 70337\n18900 64755\n62031 90454\n45937 65364\n47756 53846\n55500 80364\n81088 86919\n37149 93556\n9819 16664\n38015 58767\n72550 72864\n9974 61561\n37067 46925\n23207 76647\n49051 71966\n64127 65842\n3476 43399\n7310 24660\n45990 84687\n4541 12762\n41089 84083\n34434 48806\n38141 74854\n69095 92549\n51794 83774\n5200 58963\n10457 98976\n41676 94377\n72191 96043\n2078 58341\n76497 86177\n1427 8930\n37021 74379\n76986 91298\n14571 70609\n48559 58128\n59244 68517\n23142 75062\n4830 40655\n9356 80382\n3904 76425\n16679 47118\n4264 57535\n13335 21383\n6399 33558\n5169 29977\n25848 52395\n4450 67874\n1575 25153\n33165 68107\n4486 22468\n25605 43578\n26385 80314\n28280 83087\n53620 71316\n11368 37760\n5478 69845\n21503 86076\n13610 51516\n7070 62614\n28181 95642\n11796 42303\n48096 50575\n98831 99627\n31100 49890\n46969 74629\n52348 55696\n43346 72407\n70687 79905\n15273 84846\n4554 44065\n11634 51946\n62367 74951\n26912 89320\n18000 71239\n6247 36752\n7066 91854\n21146 83747\n30359 79793\n36997 52161\n28298 81310\n4372 22072\n22793 68729\n16135 83367\n82840 83275\n27301 82202\n9789 31280\n464 27653\n3922 99608\n10945 45715\n54416 96538\n8918 50534\n24653 82562\n47127 52481\n75005 82469\n36086 84365\n2935 72551\n15679 45987\n22980 69779\n86174 90849\n30883 56124\n40856 53112\n82982 97564\n63332 89621\n12247 21085\n38919 49971\n4479 19417\n41066 58857\n45858 58262\n44080 92292\n15363 58873\n38187 45007\n33865 51425\n61870 70885\n1070 24780\n57403 87548\n24771 47458\n7038 62048\n16101 29205\n50565 68248\n11688 46748\n8387 57521\n12567 67931\n2798 72915\n39567 52089\n363 20639\n6272 77651\n14958 52296\n59800 67802\n50209 50893\n20840 59227\n41024 94825\n17284 69269\n35041 60104\n50584 80369\n32706 60672\n31049 42710\n1229 20878\n9370 93816\n30606 69632\n51587 63196\n56224 82233\n43277 69945\n36352 64675\n31374 76831\n32296 69244\n36046 43079\n35547 68915\n8421 11150\n30490 41264\n45973 99364\n50554 71062\n10699 71137\n51955 61720\n12963 56674\n8087 55937\n38250 90787\n28232 62509\n28325 77320\n18031 83160\n28098 61658\n64495 92955\n10777 51927\n34057 43389\n35374 95715\n5050 51100\n2862 19637\n76129 91909\n53731 93829\n20969 74596\n28760 91461\n17083 68181\n82017 94676\n2018 76277\n62803 90837\n50311 85721\n55906 55935\n3527 71795\n66623 76830\n30 33671\n22145 83792\n10087 98905\n45670 86169\n608 75610\n45065 58473\n3455 65347\n86923 90741\n35217 80915\n4448 85874\n68245 94587\n53335 74127\n7754 92476\n45417 75050\n42496 60953\n4758 87581\n19999 23884\n33153 49322\n36990 67648\n3558 95561\n21684 53741\n58445 71571\n4066 61523\n12248 12972\n41006 46558\n24064 45729\n11925 17425\n19924 27626\n10178 27988\n21108 48390\n69136 99107\n21558 58647\n64371 93293\n6663 54926\n31465 34514\n5405 75587\n35969 56631\n4791 22719\n1161 25501\n68393 84261\n10590 89210\n27146 75606\n34140 90494\n34247 48290\n39759 46231\n64143 92974\n58262 71006\n3274 12622\n17037 77836\n677 67986\n29203 92484\n12693 97734\n13508 41465\n41169 44449\n41707 43143\n63015 66321\n90263 95037\n10135 92945\n35593 68094\n36385 50676\n58480 85639\n9181 53570\n62816 72249\n19305 98535\n49369 68408\n56976 95161\n31829 77133\n9703 52074\n70067 82223\n17206 51054\n28662 74548\n16251 50382\n80800 90519\n69592 84474\n31927 44924\n17883 18923\n25824 28638\n8208 25512\n45775 57025\n40054 47342\n67497 79302\n19285 66593\n16119 89740\n66022 92184\n77799 78440\n20724 25150\n17647 93618\n34732 74458\n34852 65478\n54271 75934\n13640 43508\n29354 59524\n5703 35542\n49797 69224\n20584 60874\n11373 41061\n38974 39374\n5835 6062\n35467 61315\n16243 80605\n1546 25783\n9723 33535\n36298 38692\n60616 73819\n32897 75993\n11273 75185\n55778 97410\n8785 38106\n34088 48137\n8828 53864\n39439 39988\n55477 58524\n34490 50968\n12234 57864\n52721 77346\n65249 87393\n75087 75293\n67714 98523\n69647 80897\n43636 84620\n87358 92630\n5097 50037\n24118 47940\n47128 54733\n27380 30270\n59689 63022\n20175 77495\n31217 78889\n93980 94881\n24340 77930\n34011 75565\n23512 45496\n49022 95836\n2105 62317\n42465 83344\n14426 20758\n40449 43275\n24105 57827\n44401 85729\n40631 54387\n46357 64643\n30768 75129\n38510 43662\n50134 51593\n31434 56147\n37784 76249\n47641 78107\n18481 50917\n18730 91691\n17641 26853\n2116 88060\n58418 61612\n19836 48039\n28438 81251\n12809 68603\n25271 97977\n32646 84470\n6040 95907\n43515 60315\n56876 62059\n17321 67866\n49671 70112\n25367 97910\n12900 50151\n12511 62869\n48039 92547\n80118 80894\n40662 53912\n6643 8257\n51151 73364\n66485 89154\n29235 47207\n58059 87746\n74346 94510\n9722 87150\n89549 97748\n27368 41625\n10332 49744\n6156 30642\n16811 38496\n38086 79677\n40366 60845\n62207 94348\n28703 64441\n2358 78310\n69579 82982\n74368 86833\n14412 49699\n19305 89080\n29184 52204\n36310 71408\n17966 33404\n36193 97018\n43665 62068\n26270 33997\n436 49754\n23428 72189\n24605 89563\n21054 27584\n13087 32979\n13326 22860\n55901 98668\n23462 69971\n95270 98034\n8498 24064\n65499 86978\n63901 92615\n45246 61635\n7831 82721\n78981 94521\n9610 82516\n46184 96301\n88916 89985\n7220 66667\n24895 91861\n5551 97983\n14671 33078\n19133 45113\n26065 80017\n15356 45500\n52030 98075\n47563 90457\n2121 3145\n4917 70970\n15371 30920\n68442 88801\n7326 19864\n66949 72043\n29332 49226\n7846 32213\n17833 40281\n31605 61971\n89410 97198\n40649 69758\n22701 63430\n1832 63574\n38040 82723\n5622 30258\n13258 27814\n15481 63538\n6091 6220\n83786 91121\n81716 95531\n11391 11788\n11126 16118\n44298 47638\n30561 77162\n1326 89198\n1978 32139\n14696 83911\n70536 81945\n4523 36267\n49008 98266\n6229 9924\n48831 69320\n57453 58781\n63343 68868\n10297 54034\n90186 91110\n23839 65011\n10530 41547\n40863 69103\n27342 35450\n5592 42475\n42505 96605\n26842 73383\n19468 29503\n80678 82148\n21940 49788\n56740 62006\n8219 13082\n27471 55267\n47400 98496\n53971 59928\n9962 98714\n63162 75227\n2462 87597\n28716 79658\n11028 61243\n29442 72264\n70367 91735\n3737 54977\n6824 51325\n53459 62456\n4093 55743\n23682 54799\n18846 37785\n14791 71096\n76967 76993\n9780 53330\n1538 61307\n672 7579\n8282 72591\n37699 41177\n25326 85866\n11090 83004\n21787 27980\n7027 33614\n61224 81334\n23265 96696\n70603 83897\n37054 57235\n8105 24223\n5837 23113\n66687 74739\n12456 49735\n12458 55689\n23383 53227\n70407 85522\n16255 76160\n26514 83943\n24120 43742\n43602 96170\n60895 77045\n20577 54480\n16075 18506\n58657 90861\n13029 26644\n74609 93079\n30390 94459\n88523 96744\n1452 70187\n14040 54589\n17680 99425\n1043 61980\n9865 36839\n592 40595\n69175 88862\n17780 66963\n19077 92706\n82033 85964\n18975 72799\n13624 76600\n19065 38690\n27545 75159\n5312 91462\n58337 82428\n13573 61153\n2235 8251\n39910 61773\n30543 82601\n11485 64114\n14118 36700\n35857 54349\n8379 81127\n35686 91255\n53700 72087\n3483 8074\n10809 29870\n27378 93376\n18349 18740\n7911 40563\n52135 83835\n82749 99523\n70095 96046\n4031 11262\n50034 55157\n12920 78117\n48879 63503\n26058 26117\n53158 60292\n7724 87359\n25068 64271\n34530 43531\n35005 81368\n36498 58345\n29211 48529\n9117 51363\n40935 83947\n14384 92811\n32307 64814\n83454 87560\n75945 85631\n50019 89368\n45075 46839\n7691 95221\n7018 36170\n69721 81061\n6178 28974\n28071 39015\n55554 68391\n39598 51017\n19854 90054\n5077 18380\n20630 96286\n1133 14620\n6798 73243\n6074 48203\n8596 38977\n14724 23890\n29573 35925\n10841 20618\n10935 58986\n20778 67467\n57022 70581\n27637 38237\n28214 66195\n74233 75722\n55263 78501\n44359 76184\n77256 91033\n87296 99474\n6398 50696\n13898 55168\n39687 48835\n56366 93940\n46095 80696\n16766 89671\n26190 95407\n5078 6280\n31934 56568\n19506 94804\n1448 74617\n7799 75567\n63524 83755\n24637 72032\n30229 37914\n1196 48085\n43374 56535\n52644 67940\n48375 58164\n42944 84944\n45394 56591\n43063 50400\n38157 74998\n32825 86667\n25084 48641\n15060 44045\n12380 14074\n49428 73595\n1815 26902\n44311 50713\n20630 77989\n40674 80813\n32850 53291\n20000 71119\n36077 57155\n210 77642\n69288 99526\n42755 79582\n79168 80326\n36358 64788\n8323 15755\n14973 49979\n35228 96995\n13564 65318\n49859 92522\n26935 87322\n55585 70105\n34203 68961\n41445 80405\n33396 35535\n55488 79378\n51274 59919\n7244 80873\n7833 62628\n50417 59569\n86681 88323\n67257 70874\n19412 91762\n30670 67343\n8882 12921\n5385 83832\n21796 36386\n23479 49160\n16764 16936\n13104 14664\n1683 53420\n72375 94667\n11770 81097\n1448 68451\n8573 46525\n82386 89495\n910 54609\n48313 48834\n473 61177\n20196 40930\n3585 21929\n26738 56798\n30992 34717\n11199 77765\n49111 57247\n27660 81628\n41208 87973\n50891 62475\n512 24088\n23294 35048\n23989 36981\n22301 56170\n24408 59014\n35148 90063\n60267 86375\n56227 77943\n59649 74702\n83486 99480\n49427 74411\n48850 58250\n8446 76055\n20047 74241\n1268 79589\n13269 80169\n69519 72358\n46400 48751\n67698 80180\n79610 93488\n20754 82516\n432 94651\n31255 86532\n26026 30575\n74677 79619\n25779 26639\n15117 30733\n47972 52253\n25321 81524\n33305 82724\n23100 88283\n47732 85541\n48555 55667\n45780 85035\n18635 99380\n3862 30422\n11495 94010\n64240 69522\n60345 91740\n1459 68359\n59848 73840\n11882 82129\n208 20535\n52149 77899\n44199 77355\n27196 95629\n21753 26464\n25012 94780\n56978 72131\n17481 40408\n33332 50868\n19614 81229\n3326 12918\n19415 58313\n55945 80557\n22846 62939\n64666 95820\n29884 38917\n6292 10349\n20524 28373\n48498 96853\n16849 25867\n28400 80942\n9677 42135\n16578 78402\n71209 81301\n72296 91080\n51269 96528\n16197 53317\n14878 55448\n36146 67578\n84074 99324\n27515 53297\n7309 46961\n21831 23306\n18968 57654\n19454 71143\n3294 28052\n11235 60631\n20617 98433\n26453 45682\n10421 73938\n39224 48480\n62298 73455\n26832 29031\n73413 84900\n13452 68361\n56438 69630\n44899 92333\n51567 93647\n846 51079\n1515 27515\n25363 35011\n74428 77872\n62916 92814\n49838 90024\n41182 54097\n66812 74997\n71696 86865\n31679 58490\n4093 80975\n71459 82662\n5057 27492\n11598 31884\n60767 97854\n6726 23411\n310 6367\n25825 36899\n54092 100000\n41151 91016\n19525 71512\n475 69410\n3825 13286\n10266 58757\n68097 88681\n2506 22509\n47466 84033\n52029 62867\n10060 54746\n18173 53044\n49740 53098\n51909 77197\n18126 25712\n56670 82173\n19412 89531\n36 21955\n29460 34321\n8710 64474\n3650 60772\n20927 48653\n41027 51461\n38283 67661\n71974 94729\n66554 95432\n55023 88421\n15818 59301\n1262 88560\n45458 48283\n55946 77150\n56738 77745\n6692 79863\n22552 70206\n11284 37092\n25630 55801\n36058 87044\n50272 59904\n77787 94623\n53451 69433\n3385 82844\n69115 90974\n57246 68889\n9487 51172\n37762 54595\n54781 62839\n30920 94857\n73275 87837\n25249 72042\n64600 93665\n47339 63607\n11800 35638\n50249 74060\n47513 93045\n61529 92228\n61131 77516\n20247 21120\n59832 93443\n25478 85636\n26817 94715\n13535 25579\n1217 4013\n24149 71904\n32669 94785\n52123 78762\n16620 84109\n43658 96162\n71171 92554\n36040 42459\n8073 30647\n4303 54472\n7041 31149\n54725 75002\n68675 95221\n33846 64725\n38606 71658\n40754 78374\n32779 44374\n21825 98686\n10295 12744\n52951 69354\n68998 75384\n24072 56233\n37213 75085\n43053 89165\n69299 84081\n54027 97715\n37219 56527\n2500 83599\n61943 80383\n29946 49241\n18470 71393\n10574 18254\n3830 94656\n72949 93970\n14850 40732\n11612 54022\n78791 83459\n21840 56867\n30778 58191\n10536 90605\n56353 77871\n20450 35059\n26746 38135\n42896 49378\n19984 64185\n33581 36344\n47836 48958\n29724 59538\n60491 70284\n14058 39521\n5992 92622\n357 83538\n58113 66937\n51638 98393\n9243 34109\n94308 97822\n780 82468\n48427 72761\n10842 89322\n35233 42052\n13821 57592\n880 57030\n81860 92005\n33684 39021\n18599 44118\n26015 52996\n14161 67103\n11555 16600\n18368 42787\n70753 71815\n7336 24913\n18305 30531\n2221 16339\n35480 83206\n13592 40476\n42744 94995\n36776 83052\n35280 39448\n40624 89843\n23538 71192\n28579 82452\n77986 78491\n12785 33435\n28411 63889\n886 93197\n50363 62525\n28789 58811\n25403 62161\n15579 54456\n73618 85012\n24634 47524\n3281 17888\n48311 56480\n41057 69965\n25422 40315\n14512 33902\n12339 67190\n34884 40241\n17530 84726\n39871 77127\n908 53464\n59795 95394\n20277 51367\n78974 80879\n12858 63913\n16346 50139\n17138 66695\n8792 94888\n17889 90392\n78362 78401\n85380 90085\n60239 67725\n46250 58182\n21224 41226\n28265 60881\n6457 46509\n8810 80692\n23681 88188\n37231 38463\n78556 97043\n54789 60886\n3257 54188\n4809 34963\n13682 78860\n15660 88804\n89611 97972\n41884 76357\n44960 96850\n33567 46083\n43680 65055\n21093 84891\n2423 35035\n64720 69813\n15016 39958\n51504 92046\n59632 67024\n64692 92363\n26838 78013\n17696 48462\n11758 29482\n12039 86249\n28101 86422\n23945 71469\n12568 49200\n3670 92322\n25207 31680\n27443 47956\n3963 13918\n56648 84294\n36458 72900\n36383 38669\n5935 85192\n43998 86028\n48975 53921\n47993 71657\n72170 73203\n70347 73118\n35531 67711\n26782 49140\n49002 86864\n16423 57219\n8925 82779\n50818 81539\n21605 57897\n46028 95399\n51468 65824\n24072 93632\n9055 41181\n80724 93298\n58602 93107\n35434 72059\n22023 41464\n27420 40506\n59657 71533\n30385 79828\n23169 58665\n82674 85409\n52185 65044\n70906 83355\n21084 84260\n9682 83586\n33835 44263\n93885 94576\n14008 46565\n58848 97020\n45271 56620\n7502 98386\n16560 58508\n57466 68046\n44840 98675\n90701 99947\n7992 79607\n76877 80952\n22808 82689\n46187 99582\n16768 26898\n38680 80286\n33175 33924\n4811 43337\n84625 85011\n30073 70955\n63985 90107\n4746 18132\n8474 86025\n52844 79253\n26682 52382\n50171 82623\n23506 58456\n43333 61513\n40226 76155\n72054 80412\n15976 79918\n41857 94941\n6923 19650\n31403 44077\n6677 11936\n1226 73257\n13561 74256\n40446 47847\n51559 95610\n8837 31200\n45194 91138\n44859 81138\n43658 99115\n10973 47525\n6139 70423\n1130 17246\n7581 26220\n9473 58578\n16067 37373\n4508 84319\n42891 88180\n44569 90935\n18119 60313\n48270 96925\n3458 15789\n74974 83085\n31043 58853\n15537 36300\n38597 93605\n47479 71976\n16592 81748\n12292 87739\n77527 94496\n22299 98432\n53825 76420\n50748 67099\n2678 45762\n13856 44376\n71226 86300\n13086 52964\n50827 91652\n3377 44690\n42301 53605\n72672 91875\n71214 85556\n23014 66942\n18034 73734\n50002 82538\n2682 4877\n13816 78791\n19832 31729\n37823 74988\n15057 37875\n6053 28107\n46766 77965\n52999 97477\n16962 53818\n29104 39945\n23380 60458\n15113 21562\n4322 33871\n30909 37494\n14417 53967\n4104 7267\n22670 97653\n51480 72325\n69133 82041\n4097 53717\n6937 15260\n9414 91087\n12865 45945\n78133 87926\n12092 41796\n77023 96681\n82356 96122\n5516 60837\n93907 94004\n24500 55347\n81088 90072\n36110 72866\n37085 80997\n1953 17451\n41442 67891\n20947 99633\n52193 87383\n34347 56377\n14853 61767\n37101 93941\n42196 85264\n61136 94797\n10399 64221\n84785 87417\n63517 66149\n71168 76663\n52614 68271\n55612 81139\n5190 85724\n3814 92058\n45728 47667\n72998 86669\n27140 42393\n19459 55377\n25798 87578\n28086 88147\n65046 78737\n1389 14023\n30815 82474\n66774 80608\n9031 31700\n32536 53271\n15589 93590\n86475 92978\n25210 87529\n43058 78800\n6993 76247\n16864 59675\n47799 50892\n86858 89259\n69730 69903\n40751 84825\n87363 89953\n73674 94413\n13510 58476\n28237 59528\n1694 82905\n14630 44899\n38577 77069\n30263 46080\n68037 98369\n13088 48139\n70030 78448\n4358 68375\n73925 85399\n4199 89754\n46057 53166\n14626 44222\n40288 59277\n8588 27716\n62186 63994\n12392 63142\n21465 22754\n76280 84008\n31888 40649\n19991 71546\n41668 50983\n63029 85887\n62130 84455\n4033 55189\n13349 30099\n26410 39259\n2809 8261\n57577 66395\n5972 83669\n27343 76074\n8657 17663\n21480 29922\n64523 93895\n67299 71264\n61646 65043\n79118 94386\n22015 73600\n4522 36041\n8944 96363\n18984 81841\n32147 99660\n13726 66479\n61104 84765\n27421 90509\n85575 85825\n84703 95795\n54666 54791\n16049 57695\n12474 59985\n29686 57187\n41749 46913\n65854 75138\n7042 14061\n43785 66521\n10328 23224\n77920 99435\n46696 89134\n10903 25254\n9367 59522\n30000 73829\n50550 95711\n16543 79402\n12383 60827\n84986 99285\n13079 41721\n16473 23847\n66829 73548\n64038 67541\n3678 87509\n75642 79689\n43114 64157\n32514 56351\n11519 70999\n18016 63427\n40587 81909\n49410 99280\n44 33154\n31522 33489\n20519 40950\n1214 25786\n24059 61237\n22769 81486\n40876 85502\n24616 99245\n81798 88459\n38684 71351\n34101 94925\n32943 53904\n32094 32649\n37694 77968\n36605 87600\n4262 69996\n30474 90751\n75275 81749\n43082 43593\n11912 16977\n34925 91020\n29957 62372\n32556 54237\n30182 57063\n62725 69253\n64667 82069\n9328 82649\n21753 59910\n17717 65323\n79814 82783\n73636 88778\n2301 58943\n53099 75873\n7725 12489\n35567 93271\n7483 42669\n57655 92531\n80485 98970\n33181 88148\n53347 82378\n94113 97585\n45554 96929\n26842 74372\n50004 99160\n30829 53076\n32412 58463\n53797 78979\n33602 67233\n4138 10735\n52013 53853\n5104 34523\n29612 38806\n2334 94102\n467 79656\n50376 72791\n15932 61430\n40790 74517\n38937 76278\n38347 85030\n24748 48825\n1080 21887\n19006 89375\n13873 51184\n79532 98215\n12066 37725\n37019 38399\n37557 73528\n38136 43065\n48982 64712\n66064 92961\n33903 65717\n80989 84949\n6318 63039\n127 71700\n37358 94595\n1486 96628\n28258 49038\n8328 73071\n17522 78545\n38379 62146\n25269 55942\n69519 79178\n64934 99828\n22060 67355\n3774 72837\n46587 70666\n1648 5279\n23861 24482\n51282 62569\n17052 22696\n37902 73208\n28638 79281\n34692 66084\n25230 52764\n3645 90121\n4470 81177\n44715 84479\n42289 81928\n48895 85547\n56155 95543\n1455 14577\n22163 87425\n37025 94593\n17101 49166\n76795 81300\n60931 85428\n5250 58234\n8084 14183\n45854 59040\n72835 90215\n24223 41784\n44576 75858\n23256 44165\n4902 98282\n27344 92737\n20582 46493\n15664 90545\n17573 69929\n45464 95668\n67431 69989\n9246 57261\n34612 84238\n45967 89018\n31800 57131\n49819 76606\n57014 84802\n10295 79794\n84218 86071\n44943 78627\n9534 25984\n66149 88302\n7190 87384\n12956 29966\n55294 63835\n21202 54915\n19423 58899\n25992 83046\n3018 14679\n11078 86763\n12993 60907\n28210 98850\n43561 78590\n51153 79622\n26239 51043\n30569 96741\n70761 85955\n17594 50207\n37201 95242\n34333 54257\n41822 65921\n38230 39178\n18693 24535\n18953 20450\n38991 96776\n92550 95242\n70141 87464\n56138 82501\n3306 84629\n33803 48420\n18947 27119\n41583 63356\n52609 53065\n9556 59459\n5680 18729\n835 67626\n45778 93606\n11938 69386\n8603 13569\n39707 90847\n26613 80690\n71310 80134\n28496 57374\n44363 93266\n15649 97962\n1723 39617\n15741 26034\n33226 48600\n6891 62644\n10746 26648\n78852 97437\n53766 63277\n44120 51981\n35843 87745\n15008 78104\n47711 95948\n5680 16236\n58871 67961\n62625 66655\n54343 58616\n67628 77597\n14603 34426\n34770 65598\n27050 81828\n63391 97560\n11689 64343\n3430 12829\n67717 73958\n27345 46532\n50622 95595\n5900 74368\n46981 76448\n10615 42806\n50923 90709\n324 70990\n9942 10206\n50575 84940\n54352 99305\n7554 92583\n1037 33444\n44764 62513\n9405 22796\n16927 73559\n16260 30640\n13030 87303\n32917 81312\n76985 81525\n10980 96353\n52740 98884\n12753 24047\n94089 95734\n6848 27730\n34220 97007\n4324 7555\n12554 55875\n11771 30079\n58519 62280\n51420 59907\n10099 29774\n74966 75971\n34885 72539\n34319 64422\n21881 69276\n60562 85832\n17244 59631\n16699 30310\n19969 25172\n64323 66633\n39445 86349\n62742 65324\n23526 86632\n50392 68738\n38889 90631\n37728 94669\n9177 41549\n20243 93010\n41449 84411\n88342 97653\n26089 38594\n21832 54824\n9655 62899\n56872 83690\n52420 79467\n46834 96225\n32444 98253\n54644 76284\n50510 67594\n1698 88014\n59264 74874\n67301 79555\n34955 54940\n57527 68578\n29010 55234\n17221 79628\n28642 51505\n13213 59084\n33527 70783\n30521 44678\n15951 57469\n21346 87801\n43448 57390\n23614 71190\n88566 96866\n41783 92211\n33027 49115\n1583 77037\n18186 66641\n19056 37972\n41882 84911\n35108 38856\n10119 68331\n36205 41438\n76306 94252\n44651 80016\n15733 34744\n4116 9583\n64897 83220\n64395 94934\n8755 33768\n15344 19134\n23184 23814\n23424 33524\n15654 92342\n34735 57105\n78332 96361\n64249 92455\n28394 91528\n28629 85988\n26881 48019\n82734 98052\n48258 80594\n12269 12828\n16938 26255\n6502 89722\n2983 97328\n33525 66872\n80478 85734\n9373 45031\n58711 99980\n5167 55578\n10318 99029\n24354 50708\n35000 96518\n16066 46389\n42051 74868\n41327 71059\n64822 73704\n42828 78165\n53818 63515\n25952 60359\n53901 91734\n39038 63361\n21150 78253\n41937 65201\n74014 95189\n23510 64470\n8842 21805\n38689 52513\n12124 35053\n69291 92955\n49379 58637\n44521 71826\n21581 67215\n41121 92440\n40262 73732\n45564 75901\n20740 72962\n49088 49964\n28353 75868\n1800 16239\n16850 17045\n22991 52110\n1795 62046\n17072 57358\n8852 98199\n13340 28322\n20622 76746\n28538 60231\n26519 87542\n26079 80201\n14228 46866\n76132 79261\n34463 54944\n43350 64128\n83342 98889\n35231 65948\n9498 68826\n18216 31493\n4127 23315\n11472 97415\n79697 97784\n48551 50140\n51554 57390\n11616 44622\n15510 19881\n77405 87656\n16507 68448\n30845 79684\n91784 92810\n68210 87055\n12265 14006\n12838 65956\n39331 93191\n5939 28796\n75839 77940\n43569 71005\n76706 83071\n5329 71842\n6799 10335\n31344 42596\n13583 99576\n16023 44045\n37830 62757\n60740 94765\n72 21534\n31677 63961\n14326 31354\n22154 90103\n31504 54135\n96418 97605\n35336 92308\n26049 37031\n38751 56429\n71806 84556\n13275 86490\n328 60071\n32187 48150\n23725 97982\n10851 88766\n42403 97468\n55598 81867\n31865 47496\n1528 89887\n4312 99830\n3810 81455\n31013 43694\n11804 64947\n77577 96242\n28608 45993\n20674 36921\n35561 88318\n20751 58308\n3050 12518\n10897 66487\n27393 59766\n25540 36506\n73808 88396\n32004 74566\n73271 97056\n38406 88943\n8027 35408\n45864 72769\n22065 61951\n42976 75736\n50734 73685\n43300 92082\n40898 90740\n16394 63009\n43674 53959\n49556 53645\n10919 41532\n59517 65574\n27543 35262\n18982 71381\n24241 62014\n1077 66956\n14551 94916\n16307 91657\n12329 21433\n43101 54451\n24027 31488\n78340 98386\n71032 86815\n4994 39299\n4756 43987\n6445 51858\n58675 99041\n54636 91981\n67561 92215\n22721 63768\n54747 58476\n39896 94591\n24455 38328\n62810 84360\n34851 50482\n79790 93688\n13284 44649\n2976 70039\n19430 21132\n32478 76387\n8242 13374\n12830 45587\n36381 83423\n20575 99634\n6044 32089\n60616 97823\n71911 76262\n29943 42230\n74822 99084\n17622 92209\n42199 75403\n25200 74488\n4554 15342\n37524 51933\n25486 54962\n20440 22122\n19077 68904\n17778 60344\n17722 73744\n24419 48949\n69103 73519\n477 2523\n7547 79306\n36699 68082\n3714 91157\n15456 50483\n22213 26842\n64317 80864\n3119 42918\n7128 36394\n5174 37798\n19209 70420\n16008 88955\n29605 91341\n2304 59490\n32326 58381\n74856 77026\n46331 61174\n1509 11368\n53613 98112\n38367 56177\n48704 89198\n41082 78658\n74120 96188\n83485 94181\n82027 82858\n33038 33982\n50940 59780\n20050 55864\n49091 94603\n76411 90802\n22700 78374\n55664 80693\n67048 84290\n14920 94992\n24925 57437\n22455 93583\n51565 91622\n4857 31067\n47589 77487\n17599 49261\n87506 97711\n32478 80352\n69629 88726\n19689 47398\n16632 49169\n25190 84979\n39404 76134\n46384 70604\n62759 78829\n18986 21486\n76780 93930\n16306 71713\n67636 92302\n16605 37908\n70344 94395\n6867 8797\n28308 56564\n77937 99304\n21414 33255\n4290 49904\n20292 73448\n45271 63437\n71405 90671\n3284 52718\n30328 34496\n20983 26685\n12829 18248\n55626 64107\n25427 30233\n1145 32218\n19226 42091\n42976 74749\n40084 58674\n45063 52826\n46472 91982\n45180 62004\n38497 65883\n13313 80162\n72169 95285\n47051 55421\n16609 92439\n9816 18201\n54458 66184\n47038 82747\n28819 58776\n65657 93697\n14375 18988\n574 99617\n22073 24760\n22719 35781\n29193 90857\n7790 89684\n3029 25574\n21972 77728\n26211 27143\n79547 81458\n3545 42766\n54399 78575\n42695 54522\n35079 69448\n63241 65693\n19308 99050\n79 69223\n11672 40615\n47473 60621\n67931 80242\n44957 54983\n15171 63992\n49471 66612\n1858 77534\n27393 48171\n26995 98051\n26008 36787\n31595 88528\n8441 42046\n23440 94958\n75083 94138\n80457 83168\n31909 97304\n10203 18871\n24917 94233\n91511 97472\n25912 36052\n56509 60216\n25533 91738\n32474 41741\n33161 95646\n1578 72192\n8366 46612\n25269 62103\n20434 92637\n28009 72582\n23275 27851\n26709 79729\n2763 43172\n49208 65762\n40343 74627\n22674 83980\n46101 92534\n54104 96263\n13341 41989\n12772 57178\n8256 52412\n12125 78214\n13728 81934\n46665 85668\n23953 86066\n56245 59317\n36312 41061\n31855 95674\n19687 46591\n74238 91378\n35554 50995\n68622 98591\n29357 66233\n23393 28662\n19067 93937\n21876 22884\n21383 52810\n47735 65662\n59555 75921\n5044 58508\n14081 17782\n17383 77271\n8649 58033\n30588 52549\n84057 86833\n15344 74024\n69478 69773\n4832 97224\n66575 73844\n9339 90026\n30497 65605\n65905 68108\n11266 54899\n4776 62303\n45823 97733\n16472 27617\n37931 69416\n653 89053\n29352 60102\n50615 79756\n7494 41973\n35141 43821\n15808 68452\n13975 60209\n24918 73268\n60498 83935\n19536 42745\n57478 78725\n12007 88177\n89370 94676\n18894 28111\n19008 99847\n44111 86460\n30902 39418\n35915 62702\n12354 65248\n886 99967\n12966 24390\n2366 21032\n2708 19485\n25101 89424\n2649 37664\n3424 58312\n17505 18821\n68167 72559\n17047 77435\n39006 66787\n781 59837\n87926 91166\n15120 53554\n45805 65630\n73822 85311\n697 16154\n14813 47914\n22643 53728\n31122 75096\n35802 36014\n19319 63538\n69729 87798\n6499 94775\n18632 73278\n37980 75909\n49613 56459\n13992 89899\n47065 50048\n6866 9147\n66924 80791\n55380 80707\n50882 70241\n12757 79230\n94139 99275\n21552 96233\n21332 73358\n13795 54589\n59287 59966\n64644 79366\n2709 78302\n14027 41721\n26027 34822\n58072 72644\n55530 86719\n8826 39583\n91852 97873\n37736 52842\n43052 55079\n62940 71837\n33254 59373\n79796 91918\n30467 74278\n16573 87425\n20485 74377\n34523 40812\n55993 95429\n52586 89126\n32303 37922\n79257 82379\n4555 58566\n8057 44734\n57318 65966\n67561 69728\n54934 79356\n62998 98435\n20326 50598\n23697 90378\n16352 53893\n62402 76150\n17649 79199\n14213 64944\n16141 72537\n63773 93896\n34619 52396\n83985 95303\n14125 15552\n37804 63055\n77767 90146\n12722 62268\n62386 98720\n69386 90414\n781 75608\n33937 64143\n16306 78206\n63066 64239\n69146 90156\n27703 65860\n1888 15987\n46028 89974\n65784 85231\n39474 61096\n31710 90747\n21393 31217\n21791 39937\n59649 96441\n59567 90264\n9459 66514\n30211 54868\n17627 43063\n18872 34309\n72319 87939\n59280 93721\n1442 92019\n92540 96922\n27878 45848\n2833 65498\n39900 79575\n17423 69846\n24140 67487\n16130 43096\n17153 53826\n45935 48935\n73908 80743\n28681 45289\n928 99903\n74411 92984\n46452 99684\n68058 77933\n72016 89071\n19218 51007\n30228 95681\n2536 50840\n9467 41228\n39676 63390\n82566 93363\n34758 85300\n9595 36882\n59432 98671\n6306 11891\n4687 77910\n32243 83464\n41192 89666\n17951 18675\n36388 46522\n48460 61350\n29546 41451\n66594 87931\n34273 49230\n56902 96980\n32323 99052\n30171 79406\n51194 93474\n56788 69007\n25145 65572\n26862 77467\n17760 50341\n45742 47992\n22428 38282\n77058 90102\n4955 61113\n3430 46248\n6376 27168\n54264 74862\n82962 98498\n5040 73032\n25657 78333\n26417 88394\n67129 86982\n12150 24746\n70187 95072\n29873 41414\n22813 73809\n58789 80129\n8080 13237\n17041 33021\n71556 83115\n29237 32993\n17216 85012\n30515 45023\n80860 96979\n45933 72997\n66146 80609\n14940 69124\n71305 71704\n17094 86323\n64094 76228\n17009 57748\n25655 64640\n27095 98595\n24808 76754\n11739 66644\n11070 52578\n45832 96436\n38548 69926\n31893 66439\n39800 93435\n13389 41892\n40007 97442\n48659 82111\n1640 99493\n17252 38281\n24781 93575\n38831 99705\n9665 29749\n7661 41598\n76129 84317\n42560 53585\n36246 59841\n35155 43925\n10746 96733\n16812 79864\n88634 92040\n31210 89693\n37080 81492\n89873 97164\n30626 45318\n2538 7098\n69728 85293\n16449 37160\n38285 67175\n12774 39253\n13277 63563\n8380 33787\n22893 43565\n42427 66306\n13939 34723\n88919 90466\n4524 34510\n1768 78550\n11703 63675\n22845 38483\n2088 92826\n79043 96980\n51720 85431\n31172 53454\n26954 53262\n1893 40842\n79777 87110\n775 31578\n40611 61103\n40096 56256\n39404 93390\n9177 53662\n4119 10026\n20963 42566\n11593 16289\n12212 60280\n44054 85151\n24421 52830\n45606 84680\n69952 75372\n60499 70707\n21472 72749\n34005 43308\n81050 81440\n58986 79474\n1620 61968\n2955 95194\n35028 38722\n21266 55426\n23448 73974\n3690 62264\n82319 87191\n16838 78696\n74123 89689\n64663 79226\n20222 97966\n44062 88116\n50764 94438\n4517 47124\n41513 47927\n43018 54456\n11978 68659\n86611 88162\n3419 61223\n9473 71589\n26851 86796\n6770 24231\n67460 97778\n45910 75887\n446 51709\n16840 25781\n35164 76101\n74697 83191\n7078 44638\n46093 59251\n54875 74833\n74971 76892\n27969 48330\n57065 70178\n53608 88270\n3319 66233\n15450 27523\n7993 26925\n66664 93710\n31948 35316\n26881 48650\n39795 91000\n1423 86058\n13890 45237\n58127 74050\n69657 83224\n71209 98500\n17024 48572\n2773 25842\n47240 93517\n29549 63163\n80860 86533\n21479 95135\n48310 73482\n34217 88756\n34158 70495\n46313 65504\n26541 84209\n19979 60971\n25104 77038\n79132 82655\n9047 93459\n19473 48640\n62001 69865\n14640 83549\n7201 49279\n22013 65129\n75203 88156\n17921 58255\n18870 19377\n25669 33148\n17488 30775\n57453 62820\n68545 76093\n37202 64889\n50833 82480\n17491 38344\n65436 92905\n45234 79706\n35425 58224\n28289 49783\n21103 61815\n72266 87394\n89227 96385\n13206 89376\n36736 65416\n16439 97051\n49249 96328\n22375 30387\n15728 23943\n4771 57893\n55745 86856\n14806 16448\n22898 38895\n35448 58575\n29568 90345\n15430 95857\n38088 54233\n20541 53533\n1111 23827\n12919 45672\n54546 85852\n52388 93333\n74474 74717\n4461 94963\n93773 97772\n46396 93780\n1704 89764\n72759 84710\n69362 96025\n13559 25495\n90892 91294\n10151 74335\n28884 39334\n21625 39438\n8911 35244\n1460 84187\n47235 69984\n2834 29525\n34531 78111\n1860 44007\n79490 85324\n63106 82367\n14451 72397\n43192 65879\n21613 81163\n23440 66497\n348 80092\n38855 44551\n11055 28858\n19014 25007\n42019 91699\n10091 12809\n21139 62015\n34386 43851\n24271 81513\n4638 79458\n5190 93106\n47175 94352\n18742 83536\n114 70169\n18720 31878\n6610 44059\n57861 75942\n14041 39358\n83838 98694\n25306 67788\n30050 87544\n6945 73314\n24607 33528\n23055 50140\n15733 63411\n67206 93817\n63979 91817\n44061 78864\n41320 50820\n33882 71468\n24699 96866\n58424 79811\n7827 57210\n11227 15129\n74178 76334\n22946 36969\n91578 97023\n22185 36589\n74366 99925\n73131 79194\n30585 93404\n7531 57382\n29073 61321\n49949 56543\n31976 76053\n74892 82941\n22576 92389\n590 89671\n46840 62820\n61291 70533\n54318 90244\n1701 42252\n24825 41502\n17034 46084\n7572 7670\n28722 89113\n16158 64325\n70575 84915\n29770 54937\n24150 78987\n60340 78257\n17440 60191\n42433 65323\n36563 42234\n24705 44337\n13861 53136\n118 29906\n72118 74167\n78388 83384\n12733 31079\n8221 10907\n38249 68436\n63554 92526\n15213 42546\n41691 92367\n36791 73935\n51103 90648\n82435 92607\n65520 86035\n8625 94841\n65714 75017\n29141 97638\n55985 82510\n18880 48920\n67008 72513\n26536 58181\n32547 66850\n75867 95053\n6249 29017\n40316 69860\n26414 34788\n34199 71243\n353 88131\n15745 97388\n11600 22860\n40069 73244\n77232 82715\n3290 69454\n13894 14385\n68613 69538\n7157 65874\n14586 90249\n77919 85993\n15847 72347\n68225 88396\n3776 77732\n63473 88572\n54372 80220\n21529 29508\n63769 90367\n27860 67841\n66872 76681\n5172 87028\n17831 60390\n3592 68934\n19824 85719\n29529 66770\n17483 77591\n42660 52872\n20159 40162\n6680 13209\n22458 91383\n53064 60958\n20416 41719\n31825 80053\n10640 13399\n62384 71069\n48281 75982\n36640 64371\n10064 93650\n14415 44741\n34158 91918\n52019 81435\n89936 98562\n50720 63390\n22901 85872\n16190 68275\n35663 90023\n36443 57507\n30808 61894\n3320 99540\n46544 67621\n59628 80694\n81933 83599\n26295 62195\n20853 89482\n3304 37411\n5327 78181\n72704 83962\n43524 85411\n2780 15604\n16829 76718\n24744 32212\n29545 48074\n50494 79364\n48951 87974\n89714 91542\n23295 48128\n18184 34886\n729 26010\n4896 33779\n23531 78874\n42460 48760\n47497 61759\n30788 67517\n39083 54480\n46923 76585\n2995 57576\n2490 66641\n8137 67809\n25537 46451\n47925 71352\n18006 83245\n60487 64728\n30651 34453\n78524 80191\n12254 98065\n25706 54514\n24195 74936\n62340 88600\n14731 91826\n14290 70057\n30772 31179\n71512 77464\n4850 52435\n84673 88796\n71112 81475\n49607 66399\n1569 80509\n36140 36429\n11142 83523\n18255 93902\n50790 56039\n11724 27075\n13681 74779\n77581 81184\n49842 57769\n13163 39959\n48142 76557\n14240 92055\n23981 63051\n8922 94508\n78589 99834\n45560 55785\n74856 99417\n64562 86268\n21357 47718\n3906 93008\n73017 73914\n59648 83349\n87978 91943\n14607 55590\n52193 80385\n44353 56317\n41317 76211\n3497 75228\n6157 77102\n8362 71711\n6952 12460\n68069 78659\n50179 84813\n36655 42963\n45677 71518\n87110 87212\n82581 92171\n750 46299\n39042 98927\n14444 86718\n14315 94872\n48256 92732\n49162 67332\n48258 61528\n9588 47892\n1367 40770\n49490 97858\n19140 48247\n65829 89484\n120 56780\n60632 77594\n11010 60168\n8911 33924\n17916 95124\n23098 28186\n42301 54161\n11422 30327\n73577 74837\n2864 65438\n15491 54982\n34790 90083\n24061 59024\n5356 28912\n46434 93309\n87132 93738\n28492 29150\n6238 31561\n55909 84122\n41844 68181\n61948 90953\n30113 61425\n7722 61169\n18851 95776\n11364 30288\n75108 81309\n16288 39923\n1077 49574\n78202 95555\n25180 98780\n77164 86176\n17226 98322\n44121 62134\n79361 93772\n22314 49758\n68935 93599\n27000 87913\n21333 71101\n65909 95540\n59028 64437\n69409 96145\n4804 32617\n9920 76849\n42693 47208\n22872 63280\n68888 92783\n14506 26472\n46324 85673\n27671 34431\n30845 34281\n2571 38348\n2569 31198\n34652 98107\n16124 81461\n67317 82574\n36973 72083\n59687 71316\n25252 31626\n17873 91278\n36557 71029\n24267 57660\n3201 34954\n14264 47263\n9252 60201\n47544 71965\n48737 76035\n16232 92022\n53635 95065\n41413 94761\n48757 97161\n42049 75585\n43132 99126\n21168 25937\n14485 72618\n47538 82890\n29914 76331\n40693 97622\n86079 92674\n31906 61067\n22628 48040\n31679 71894\n13818 27679\n48784 93580\n19205 68022\n45994 98616\n34749 82378\n6301 69492\n20173 39573\n18793 98128\n30278 86938\n29914 70069\n54801 76531\n64900 96755\n26643 88557\n12459 24612\n83109 89785\n68279 78331\n7510 65898\n2654 35596\n44816 47400\n43998 95352\n767 62616\n45744 55784\n49581 68626\n18588 88371\n14412 53178\n74822 93398\n1222 41005\n70119 88273\n32436 92474\n19531 91167\n96583 96773\n3563 91037\n45222 78300\n4031 58296\n46366 47045\n34606 88446\n7167 74415\n30003 36545\n3479 91531\n76316 92429\n14631 66911\n39616 85789\n37495 74623\n2971 60164\n34022 93929\n70463 72867\n40679 71190\n68191 82365\n5305 68948\n22976 98785\n106 47579\n56301 84921\n31428 75103\n12427 62208\n57144 75295\n37532 97299\n18952 25862\n18802 66691\n43843 95970\n1506 43450\n28107 49317\n24119 30766\n8261 73725\n46746 52932\n20780 33092\n38273 62221\n5414 48180\n47132 90939\n39279 81036\n3196 81057\n61127 61329\n6500 37001\n30184 34667\n8856 30299\n35307 92918\n51541 59936\n12712 26249\n9639 70084\n44994 85699\n12132 14242\n58700 60288\n16865 22997\n66104 96764\n96732 97427\n43266 80631\n51413 72780\n38133 60704\n13510 35586\n62296 82293\n2679 88303\n25175 34201\n39248 76222\n64002 65230\n23669 92255\n17264 94464\n34711 63342\n44985 57277\n8597 54351\n45972 84917\n43793 94024\n23755 24943\n4568 32187\n31061 75429\n92813 99770\n59282 59930\n40313 88430\n22524 54239\n4747 74348\n58680 59960\n24210 39001\n10704 55857\n33375 33530\n6861 33858\n38843 52893\n7240 44622\n62717 75715\n16353 92875\n12584 87243\n41242 98214\n43329 65263\n23129 65117\n74840 89970\n15992 51660\n38239 65831\n29211 48448\n82835 83597\n2528 22953\n68036 83278\n29933 77978\n41465 78880\n43247 69010\n26855 95342\n12590 71518\n69371 70337\n51543 61305\n12187 54862\n75614 78687\n89886 92992\n47910 75251\n56172 99528\n66241 80480\n23808 89878\n73127 96537\n12169 17105\n8546 44887\n26220 44942\n41 48331\n8961 84941\n46506 86851\n10198 40859\n7241 73249\n10559 37163\n24516 79725\n8684 18786\n7801 87101\n12065 37552\n1447 36441\n4227 4316\n30630 71555\n12707 85837\n32489 33180\n15545 43184\n81743 98009\n8378 33993\n66501 89827\n32382 88769\n73705 74353\n75932 77670\n14326 41808\n60688 89624\n46359 97301\n78462 86340\n32647 48449\n23376 79763\n32437 57190\n56013 83761\n26088 37675\n4659 84900\n18324 62146\n747 50070\n36106 79005\n25511 73425\n24830 70151\n139 10687\n26402 60979\n44706 74772\n5366 76536\n1187 80402\n62099 68028\n61117 98104\n13172 79475\n36651 55155\n79276 88666\n38214 70750\n79470 85548\n26372 26950\n31317 84117\n12941 92539\n29564 83082\n39450 97098\n4369 84088\n73220 90484\n22047 46979\n1633 60699\n18114 79623\n25415 39857\n50998 75909\n41759 61838\n49307 86987\n32190 58872\n35379 65978\n4745 73464\n52329 66179\n7214 27024\n6007 14425\n18821 58112\n36450 77863\n13761 39451\n42955 75610\n7959 90522\n16790 40869\n18783 70692\n33143 96037\n5099 52629\n19635 84661\n9496 31868\n77373 92054\n17342 67045\n16858 17780\n59899 77511\n90636 91681\n2686 35873\n10959 97309\n57281 79480\n30673 62192\n22648 96597\n32812 42904\n36856 88562\n3417 57551\n54487 67462\n15276 57204\n62940 92121\n5371 73326\n38557 39663\n39728 83502\n21479 89974\n52177 70863\n48264 63991\n15255 53179\n9170 66445\n831 74622\n1916 37783\n73483 99661\n34284 69747\n33822 52231\n575 87374\n71995 88742\n61289 84402\n18826 28335\n44304 89631\n14706 35350\n16425 97019\n41717 98333\n90360 99924\n64454 78682\n27670 97501\n24091 34769\n74063 84595\n68116 83471\n48484 57539\n68970 94377\n45401 85995\n21454 94568\n21813 81987\n40665 81423\n55176 92901\n25301 42656\n19959 59143\n44645 59162\n19151 99698\n55160 58260\n48304 64810\n24511 86861\n12749 21501\n64071 90302\n18642 80464\n27063 28208\n43759 82989\n17030 31425\n20224 42211\n31038 36464\n3515 44740\n26657 91495\n11628 20757\n97270 99676\n39561 61796\n77079 94047\n36726 37607\n35707 75972\n1506 13284\n31438 43908\n62525 63992\n3379 71183\n35779 58396\n30649 79153\n97115 99986\n14053 37109\n3597 69113\n87072 91454\n62284 67907\n27085 94600\n1116 35368\n23270 54002\n22378 63261\n20603 26402\n62728 94793\n25649 41478\n13496 44663\n2412 58955\n73087 85937\n14316 20792\n15460 99368\n32225 66140\n68086 97795\n48092 72539\n51164 97731\n17700 99726\n51451 55185\n62649 75686\n3676 49100\n62428 81150\n17577 68864\n74807 96170\n25653 64375\n5812 31614\n1165 39425\n28758 53335\n27383 76312\n2774 10076\n53605 93688\n6713 67052\n17935 80367\n34122 92528\n17446 48041\n39204 90236\n47819 94673\n64875 90504\n35506 49058\n48225 87337\n29332 85822\n36911 52919\n68617 88763\n2854 90498\n22638 79311\n21149 93128\n307 59242\n24473 78996\n5694 98052\n19405 98996\n16538 19284\n31599 61535\n30716 68711\n16715 19441\n54993 96036\n28654 63305\n28951 95702\n77958 96606\n46113 91256\n44640 67465\n68459 82655\n12813 90659\n1200 55124\n400 55327\n28715 37053\n8581 41434\n18337 42732\n14283 14720\n7000 76288\n23749 53770\n8495 91016\n14619 98221\n51722 93770\n62103 89168\n19017 70128\n28736 36404\n71542 80838\n29089 66341\n39808 84010\n66025 85817\n40166 80505\n34160 65604\n37478 58499\n56531 97152\n15198 78395\n17961 67589\n54361 72002\n31167 80579\n14528 97913\n16463 91815\n8033 93909\n51908 52367\n41227 91697\n4952 23855\n40174 51104\n26082 91983\n58321 59401\n90833 98463\n3078 77411\n37307 69336\n796 46627\n16695 88561\n44669 57342\n14632 64973\n43177 91592\n16170 65994\n18136 45565\n63751 88856\n43375 80875\n31363 70795\n3109 97289\n49231 81433\n1411 27679\n56660 71632\n10883 67295\n52314 80486\n58346 87092\n65918 72607\n44432 77995\n23088 50501\n44504 87067\n16784 21322\n21286 43333\n46777 67750\n30767 57753\n66570 97849\n11338 18313\n50984 51179\n90264 95178\n78628 94692\n50223 76398\n41314 56148\n2418 5677\n71833 77850\n73148 90760\n31646 96992\n2063 49492\n73598 82139\n23167 71274\n44274 73678\n47973 87733\n51029 60779\n69343 91083\n58978 62107\n56489 56854\n90432 96581\n44383 76916\n1198 84324\n32427 52502\n52701 54448\n90753 92442\n15890 53192\n6790 92911\n41095 99571\n9199 76279\n12544 96940\n19127 78055\n64887 71748\n59064 98529\n9815 82315\n7147 13238\n43116 44416\n42058 92240\n45440 53191\n20679 89209\n32413 73708\n35736 60156\n43740 73906\n17621 86454\n6865 19041\n43813 79222\n43663 94741\n7592 17843\n37107 74875\n5467 86654\n7122 11339\n363 19236\n5605 57938\n14645 75493\n87752 97659\n44426 52062\n72705 84444\n21901 50930\n14456 57461\n21972 86298\n8413 95811\n12911 20794\n41130 58380\n36965 51376\n17492 19078\n34829 79515\n18239 37399\n54082 68475\n31222 56100\n30536 53235\n53496 69575\n24158 56479\n7908 19235\n16584 54995\n13208 84067\n4807 47354\n70147 93729\n81817 86135\n29864 80965\n22985 58288\n87264 93846\n65301 79875\n1380 10488\n7117 84496\n60314 88873\n14905 96187\n23568 50335\n2872 93945\n67358 92672\n10305 20076\n748 89783\n20176 88399\n72734 86868\n17035 94393\n1127 81449\n28253 60998\n22753 45927\n35093 67718\n23658 41549\n34064 66605\n17719 65147\n41291 42069\n11238 81227\n43806 46233\n27085 31753\n63612 68387\n46232 71678\n43670 80325\n39591 88940\n12604 79366\n61078 94689\n9001 40911\n53015 83320\n38613 87110\n26534 38802\n11816 95139\n61738 94084\n69799 91203\n23473 70669\n13687 27738\n5446 65207\n34439 36001\n71906 90592\n6518 94770\n43227 83474\n28070 56222\n11353 58988\n3756 12142\n4902 78069\n30290 70021\n64749 87744\n21723 50865\n80585 97585\n63708 86452\n37127 76714\n8891 9037\n12164 15799\n90916 97530\n17464 36251\n13636 13759\n23446 83497\n5928 99122\n19043 67096\n42556 74807\n19308 33539\n48286 83338\n56439 72381\n76282 77993\n32725 99781\n20339 52917\n48429 89477\n46569 84311\n59976 81670\n52759 83769\n49581 57743\n10665 71916\n26743 40409\n57792 79082\n30754 47732\n68856 94667\n55588 89487\n46238 73924\n19968 55980\n14463 52140\n20687 89176\n68610 80158\n7318 41208\n26787 88089\n53526 88038\n81744 82625\n3136 77259\n13502 65833\n45962 87977\n8565 47007\n58847 72778\n24489 29819\n58429 93635\n16412 43889\n18908 54258\n43803 55228\n2438 98807\n67493 77335\n64339 72355\n2759 64603\n37981 98497\n54700 90482\n32824 35053\n53102 91957\n41468 62940\n22607 53739\n30387 52793\n11193 51157\n16052 21318\n16031 99647\n94588 96838\n45511 79378\n6432 45840\n73256 74281\n27656 53473\n52872 67809\n47730 68546\n35703 36616\n21037 70918\n31076 52889\n70121 80578\n53498 79929\n1043 11364\n12503 61303\n43445 79275\n72625 76244\n55506 72904\n46381 89883\n78832 92702\n30842 39324\n9047 14438\n37088 46857\n23115 29402\n16748 45989\n60937 68454\n7246 60083\n8711 73422\n35957 37755\n39924 61612\n48594 52139\n43180 63416\n29369 35094\n47241 50549\n6978 35153\n80907 90308\n14183 26473\n13731 99496\n23444 93853\n11200 28607\n46984 62109\n21189 43151\n34535 88394\n54428 59741\n7089 50828\n16005 24522\n28549 68976\n53824 61706\n20603 93782\n16457 42315\n68548 74229\n27623 55445\n11615 92966\n24311 28296\n30945 42409\n28804 94066\n23800 67725\n16784 32609\n29426 40202\n61075 64489\n14766 83007\n77870 89288\n6412 74967\n33397 72669\n21398 74529\n13473 77679\n11084 36834\n56058 73189\n1814 55763\n19091 37402\n5972 15795\n26458 55234\n588 63167\n13866 56678\n55111 94965\n17852 76163\n14170 20090\n20557 42240\n32185 88808\n10786 57934\n8701 97035\n7323 61268\n1561 44375\n25483 70705\n28340 35727\n2051 68283\n59081 75007\n43055 43629\n85067 96801\n11361 63149\n50805 68267\n26110 42729\n13752 35178\n20578 42622\n29262 61485\n9954 54666\n13174 94178\n54584 62329\n49686 75929\n30822 34579\n86110 93860\n772 88646\n78906 91991\n2075 18257\n29452 85998\n80774 94165\n37729 90732\n1156 17342\n20788 65913\n1739 42446\n31706 61988\n90161 91144\n33099 92673\n9847 17416\n79777 85950\n28855 72955\n8826 48824\n47090 58861\n10089 53636\n5327 11018\n23153 24888\n22196 63512\n73806 92258\n31968 37730\n59239 60393\n36213 89556\n21840 44202\n15790 50467\n3621 88601\n3118 17340\n9062 36423\n16281 86199\n86344 92119\n12534 74910\n55171 65568\n75028 95174\n6913 57582\n67119 87162\n20708 89316\n1110 38146\n16894 50979\n57207 81767\n21116 85644\n14284 69713\n28998 65011\n56932 89959\n47801 99587\n5460 6833\n12606 90044\n11136 46625\n23964 55893\n43213 43982\n31836 75395\n10432 29693\n47154 53865\n1976 31983\n11608 72970\n22435 70521\n76623 90064\n49475 85392\n38354 68999\n65946 78621\n1884 99057\n74252 75463\n36385 65382\n48302 81091\n10277 78755\n46223 58522\n46484 81051\n57471 96329\n4060 52303\n63322 77519\n11719 23078\n7078 35939\n30421 59581\n76987 86690\n4951 18797\n42247 79631\n56474 65032\n69439 80446\n43466 78964\n17783 81086\n11781 22283\n50276 75293\n25085 93146\n16963 68061\n37694 83675\n8136 96707\n37679 38788\n20321 89616\n61800 83275\n65649 85166\n53744 65066\n57735 94600\n24450 44108\n17646 38559\n37622 69384\n264 72229\n24141 25138\n40640 66463\n9217 46868\n44598 64335\n35083 56112\n21378 64630\n13661 78504\n73829 85062\n14621 24003\n51318 52712\n62288 85506\n20757 40610\n63629 77726\n37021 71062\n4076 29615\n32980 94687\n53822 73767\n3390 9519\n47495 62308\n44302 81304\n29976 47513\n47011 95304\n53420 84432\n51879 70268\n29574 30159\n10174 18302\n5137 15516\n76951 95515\n13667 64053\n7281 66971\n16971 38843\n53852 93378\n13027 78628\n21650 29546\n24842 80242\n21104 72617\n44964 86961\n41304 75491\n24642 88611\n41931 85150\n6445 49782\n7557 57192\n95043 96101\n52443 96723\n82460 90961\n18057 79954\n23597 53102\n12979 56604\n13612 17299\n32683 74324\n80851 93338\n58713 61015\n8943 52685\n40512 41704\n63757 87461\n22906 29806\n2860 19111\n7693 23307\n38984 56543\n15504 47719\n6553 33397\n60267 93041\n54892 56405\n59457 97447\n29606 45432\n57836 93664\n10694 37420\n7400 64484\n33502 75147\n42107 74875\n5548 76759\n53259 87039\n29881 64875\n13499 60717\n3578 91041\n14264 17033\n23815 56014\n48859 91856\n11259 16934\n72201 98978\n57009 87990\n74925 95471\n15788 29948\n40050 69828\n45074 80184\n50064 50889\n7004 15789\n48648 79358\n42339 97463\n7139 19492\n42698 45038\n19163 27339\n6579 90348\n11636 67734\n20770 29710\n70129 81585\n36410 77946\n14133 46234\n12524 41565\n6162 18148\n26360 91304\n22276 52271\n64162 73805\n41177 52143\n3911 89922\n34092 41575\n7405 59171\n22053 54015\n53751 89524\n8815 17236\n31392 33360\n28351 53861\n62178 72810\n3857 73922\n57162 76626\n29850 71896\n24730 66765\n18473 35851\n28294 70242\n31279 47794\n11607 39638\n54304 71143\n31595 83107\n84169 90259\n30039 64084\n19795 46056\n47863 50524\n9298 32727\n10023 14815\n53879 77849\n45195 46911\n43773 85163\n56477 69830\n15719 55621\n54756 68251\n48922 83783\n15998 72839\n73096 83541\n38055 95876\n21283 63070\n21726 98215\n67824 98103\n43196 96176\n8993 64308\n89462 92361\n27825 92143\n69677 74869\n14714 57286\n1005 27936\n68887 71380\n13621 33950\n21163 82204\n44727 70098\n44308 96431\n2164 79507\n37596 56007\n21784 75287\n18736 99296\n9471 13155\n64416 92202\n25463 62791\n38268 63120\n61407 83021\n4756 31262\n4821 65610\n21713 70830\n1503 61933\n23371 52664\n30206 77361\n2626 45283\n46872 49160\n2158 25143\n41722 90742\n26297 85740\n47378 52264\n18471 81027\n1483 42665\n50697 70045\n42418 72180\n58130 87435\n52382 62199\n62034 63813\n3241 39070\n47379 79070\n28654 73921\n18534 34022\n63243 99726\n10210 33117\n8905 98280\n8560 70785\n58353 91641\n53650 86140\n16438 64637\n22893 81398\n85185 87124\n1292 95986\n63154 79074\n55766 94138\n26616 52387\n47078 75225\n30401 74986\n60253 74993\n28204 85349\n46522 46980\n36669 69812\n65043 94131\n9742 21463\n60931 93294\n22839 63475\n87665 98079\n50609 74940\n51938 56654\n13431 45818\n31506 60337\n54791 58581\n40113 93546\n2051 23190\n5002 31622\n7622 73929\n13759 52819\n31847 82899\n18499 72749\n8913 47824\n6485 72064\n66550 96602\n25434 77165\n40977 66129\n48749 61368\n29485 88663\n26168 79175\n31419 40168\n47912 80305\n90195 98293\n39358 76828\n2905 46202\n31788 90367\n43248 70821\n58736 75703\n27867 54754\n27076 91663\n44901 93449\n2020 29152\n31392 56821\n15984 22865\n45754 47802\n580 28224\n34798 65850\n11585 35930\n63638 75464\n67937 72186\n1671 2639\n31978 79198\n53817 73044\n2866 37217\n32458 71881\n30817 57781\n489 68951\n65190 65350\n65982 99884\n3578 42941\n44295 87202\n54644 92677\n39827 84269\n13168 22005\n25960 55419\n5633 76574\n36833 65704\n46133 63005\n15653 44275\n44774 70446\n19464 23366\n39538 95639\n33097 58587\n3527 5259\n16438 30916\n57672 78707\n8014 20481\n20803 58420\n46646 69591\n33376 74578\n20879 94978\n49557 53334\n20594 75020\n28692 61690\n25780 88315\n46477 53859\n49299 77653\n51236 68098\n844 40630\n54956 89985\n28882 98637\n30075 54526\n3354 36975\n62526 74065\n25304 55712\n38981 47041\n60218 96318\n35842 76593\n33605 82005\n47121 93159\n34115 92477\n15077 15984\n34391 47214\n26199 62544\n9070 24854\n38079 87751\n22650 31995\n14445 27599\n40312 59783\n33152 94193\n54581 95825\n43421 45262\n29980 79323\n15205 28178\n52899 83797\n8381 29233\n30023 80106\n36320 45206\n30845 31162\n66324 78428\n38348 91718\n62133 98506\n25557 71262\n9446 11829\n32970 55071\n44838 99058\n7596 98609\n12211 48452\n4867 19924\n64854 97753\n17586 29751\n70773 82525\n27567 76572\n68816 96842\n27483 36382\n26786 65378\n36692 44159\n17513 84193\n34819 45543\n31700 91482\n72557 91755\n24459 78798\n16907 96301\n30603 55681\n71049 73533\n30028 60614\n60122 95075\n23210 43847\n21135 22368\n24742 81671\n37196 95546\n39422 58323\n67421 95500\n39931 94126\n38498 74675\n4773 80794\n35520 36599\n35588 44221\n29683 52595\n14827 69887\n53572 54680\n3771 74138\n20127 40861\n69808 93366\n7942 97618\n15169 33754\n50163 61893\n9300 12840\n17840 23623\n1713 47967\n16895 22872\n14490 26011\n26207 30796\n647 20365\n3347 40919\n39563 75814\n33365 46301\n38023 46969\n29344 93521\n2730 24876\n12395 15638\n46270 91322\n10996 87087\n46231 77127\n48600 82810\n53744 63236\n73984 81218\n41897 77590\n19704 44168\n75041 89186\n10265 74492\n41094 50310\n25421 30600\n51112 87791\n23092 49291\n31458 56515\n2512 72382\n3264 66603\n28041 33824\n60581 96844\n56607 61084\n70494 80094\n7755 91545\n9322 35325\n29621 93673\n6281 84642\n30465 69017\n13923 85387\n21886 85544\n21858 78561\n25079 82457\n33954 68225\n2182 94248\n66199 97866\n43374 56227\n29959 64955\n5731 31462\n55196 93289\n22906 42924\n5697 47110\n11380 76729\n40011 51947\n7635 54156\n11596 65527\n41508 50456\n15734 25817\n26621 87309\n6491 49653\n16780 47989\n39064 79449\n2224 46941\n64446 67207\n40740 50713\n74801 82422\n396 65224\n5337 69932\n9251 79254\n9929 47733\n96900 98309\n24229 37054\n34520 72617\n46421 84038\n17325 83733\n11351 24865\n55470 65923\n50078 83541\n5204 33323\n25025 75281\n11470 67264\n5378 76467\n40015 56828\n42426 44439\n25668 76578\n115 89722\n64763 65755\n13652 73048\n14778 52353\n24338 37783\n37422 76524\n9650 85467\n36355 78914\n11792 87851\n11883 14701\n17899 29257\n55029 64006\n19452 76323\n23871 66615\n26462 52873\n52981 95573\n7374 89662\n24946 79856\n57549 65259\n79830 99197\n84193 91027\n19323 69469\n64087 93401\n10175 77623\n15934 61325\n20338 55733\n17076 77254\n17844 48986\n46039 82336\n13955 61897\n26793 42472\n13814 60195\n4238 29775\n16098 70560\n82727 85686\n3883 98223\n15886 24947\n52738 61610\n3848 64699\n22160 25934\n43960 52129\n69078 80317\n14882 63981\n4785 24346\n36110 54509\n58278 80729\n10598 78418\n35224 74564\n14060 99453\n14267 83083\n34431 56827\n7822 48817\n4793 13141\n68912 99502\n1593 13477\n73858 90392\n33891 73318\n63956 80490\n25388 31908\n34087 65207\n16631 99667\n46016 87815\n47190 89630\n16591 89017\n12833 79374\n3619 73614\n39121 97360\n3298 50637\n79108 92655\n8714 73015\n42849 86213\n14078 43516\n10344 75677\n61156 68651\n47491 70107\n3652 76359\n29952 62880\n33219 38513\n59402 87987\n37837 99007\n54981 97480\n12545 29456\n7643 21921\n13551 19255\n23627 81560\n20793 98886\n12070 52514\n11388 28926\n12956 28535\n29390 80716\n54709 55559\n28128 83652\n32589 68098\n69639 84316\n15755 47805\n28428 84760\n17245 93722\n2622 76754\n3105 46564\n30312 53973\n6738 50403\n43348 85951\n36575 38264\n45588 97259\n33873 64422\n90463 94359\n38964 64773\n7885 43375\n40258 47716\n10864 94596\n28217 69380\n9000 93660\n13783 65019\n30769 84071\n10760 95421\n83005 98110\n71002 86909\n5805 41988\n87551 96596\n30339 83408\n84426 99977\n42574 56144\n51959 66747\n40954 41681\n88255 89380\n7607 96660\n26771 87748\n82336 90810\n796 39877\n17108 62855\n8432 35071\n62009 98708\n50710 81835\n53499 70608\n39732 43255\n66794 88225\n4991 26047\n27639 37488\n81576 91865\n37331 78208\n49229 72946\n40488 93005\n29521 72431\n19833 21790\n40457 74487\n21561 38840\n61367 94170\n25774 99151\n5139 68864\n10812 35921\n20594 44022\n16014 42866\n15375 20592\n20783 73998\n24635 40513\n22798 53656\n9915 66511\n37378 71530\n5621 30778\n31649 63393\n40563 42734\n14429 86799\n38803 90846\n6934 82207\n32200 80558\n36651 38669\n71577 80574\n91043 91426\n46017 98519\n14664 79054\n20760 58502\n30798 47899\n21189 75846\n38284 88254\n45377 97711\n25237 99200\n1540 65763\n58213 93267\n10034 23021\n53581 58693\n12165 40559\n30739 33253\n15288 49999\n38422 70176\n29178 88790\n18819 82000\n3560 80524\n70966 83938\n28247 58092\n23478 36411\n1651 87398\n64125 91428\n20305 28760\n35603 85369\n19119 32467\n36402 70541\n33812 52643\n16387 77955\n6515 16258\n30979 92738\n83998 99463\n3659 81311\n6915 75774\n28459 71419\n31584 52684\n57732 60048\n10151 69786\n27572 37850\n40086 78449\n53119 86118\n21168 72227\n63235 89288\n7806 47400\n52531 64812\n3271 79244\n56452 64502\n59009 64985\n11843 34323\n34951 60353\n10723 17360\n28775 66541\n11151 12821\n54787 76424\n55383 71034\n40699 80774\n13197 95715\n37887 55113\n59570 69598\n80043 83635\n6350 26879\n48845 62167\n24345 39820\n13083 82306\n2952 48537\n58870 75361\n9313 54320\n29357 86870\n38353 53368\n21071 38097\n11958 59054\n9659 51223\n54248 59659\n3045 61065\n3260 93724\n23999 28085\n2881 49837\n15614 29967\n6755 52154\n40202 76707\n61785 62653\n34254 84245\n25679 76700\n28302 69499\n17290 54387\n18561 29378\n21347 46850\n60175 89441\n64551 95706\n17528 92324\n45076 51285\n34033 52733\n23244 69151\n24019 54231\n7676 26258\n18872 49477\n68997 94490\n17107 48215\n72865 88599\n48569 82385\n20526 55214\n11642 67615\n31039 43149\n1966 8792\n81558 92673\n28508 35838\n28558 67803\n61665 85839\n85919 87117\n21781 96629\n15573 78662\n68331 83864\n18218 86544\n67822 91148\n330 6647\n38891 79906\n49231 64280\n35750 52556\n30068 74883\n42883 96060\n6471 98108\n28515 66408\n26449 37253\n8445 79958\n35506 50654\n63194 73466\n33541 96806\n3986 44598\n55901 91221\n30011 70087\n59571 61978\n1655 80492\n59469 91971\n57198 70213\n33102 58147\n15843 46631\n6538 46994\n17754 54128\n35752 36332\n22477 86169\n5811 37935\n8609 88753\n53364 64105\n45614 75265\n30198 91725\n41889 51166\n81784 97218\n20550 90098\n55720 61223\n76710 79521\n32766 78499\n47946 53412\n66243 99848\n13025 82510\n3861 56871\n2945 54872\n18640 65571\n74948 90966\n12899 69482\n91150 92293\n60968 91817\n15703 35466\n62190 71336\n48965 54398\n86882 94590\n33779 74654\n34180 68308\n24504 97071\n63671 84962\n2855 85780\n40311 63732\n15104 89129\n10860 12698\n22967 23668\n67869 74525\n46128 74560\n12578 14589\n38929 97884\n55446 99421\n46109 49775\n14148 18644\n12546 37609\n16225 71062\n14570 58372\n28897 85048\n61537 95833\n13259 35410\n50238 67216\n23975 49498\n11898 98300\n63761 76093\n2817 25814\n7390 15753\n5114 83068\n60363 73730\n19138 58894\n44646 53795\n95218 97118\n43927 82519\n146 88964\n41793 91209\n26976 54410\n13932 15136\n20261 68379\n7778 14162\n55409 66028\n53154 78481\n93620 95000\n71774 75908\n7683 68689\n58494 92538\n60611 63189\n25603 79807\n4509 6357\n19650 26528\n25887 57094\n37740 81854\n23751 47686\n10586 73508\n7268 85809\n20264 79032\n63995 77993\n4145 28168\n77853 91369\n68487 87981\n13234 35562\n48664 56053\n62812 64755\n13541 90527\n17381 35050\n24570 80473\n8777 95556\n19877 69050\n25431 28629\n69188 87941\n33965 79670\n61213 94979\n10653 80374\n6004 32835\n42748 82626\n6486 50241\n7403 19810\n57263 58259\n47340 49070\n14149 89650\n45603 61880\n69253 84800\n68805 93042\n39250 40294\n22525 24614\n29020 95894\n69910 97980\n6402 33035\n50089 56352\n60872 95031\n55345 62862\n27369 92603\n49146 52069\n27305 54423\n15951 23964\n43827 56787\n81017 81238\n24527 27550\n68771 82442\n14277 40991\n94828 97027\n13987 80382\n19015 63480\n14350 29931\n62371 69688\n29136 65211\n23877 95318\n17911 47356\n63912 64767\n37282 97786\n35904 56774\n64582 91894\n37850 91806\n13346 70271\n55850 69748\n3749 87505\n2209 56753\n12375 73332\n9965 40329\n22110 59710\n15333 61773\n57738 96205\n15961 99962\n49446 59184\n55130 91708\n28084 40785\n53199 70502\n15571 39068\n24978 67668\n15630 33265\n41807 75565\n38182 51833\n1418 25286\n68231 88100\n63566 72708\n22753 95804\n3687 30513\n6147 31874\n52995 71783\n47010 77962\n42164 65671\n14385 30948\n26250 52874\n45768 78214\n14384 16647\n77725 84210\n26796 97007\n89774 97315\n6147 42907\n20560 73802\n51550 90079\n15639 86701\n30957 40546\n37074 43444\n15686 45598\n69073 80958\n7622 10236\n6872 72070\n13944 72811\n76539 77188\n16242 90708\n41534 94452\n2010 11847\n35230 37700\n7937 18919\n4648 20106\n14897 97683\n1395 60068\n56593 74520\n22233 78097\n57029 98614\n2001 81882\n38304 57546\n60765 63334\n8007 16315\n19542 81716\n10818 76992\n44787 98208\n16486 33300\n2701 94875\n7126 48951\n42636 61039\n61231 88666\n36061 88830\n1556 47816\n5804 49953\n6681 82466\n35038 79256\n52034 84683\n43117 63345\n30572 69102\n22335 32925\n44209 55105\n21670 66796\n28014 72625\n19568 69095\n5413 49093\n17917 29633\n93860 95210\n48253 80836\n94727 95797\n30096 95516\n60715 78392\n34856 66742\n10700 34509\n14109 21068\n3259 78510\n69961 89916\n60597 81103\n7154 86498\n42566 59666\n30429 68695\n65523 70299\n60818 99949\n60614 72105\n30701 96492\n10631 81639\n29464 50796\n43186 62033\n44096 58936\n17452 80447\n46118 82697\n3592 62483\n36409 37602\n7013 15404\n29951 63711\n45708 61558\n66322 73378\n66807 95197\n31820 94655\n61004 93525\n31231 35978\n21700 42333\n11760 38780\n54544 76752\n8230 97827\n12976 74452\n62481 65770\n63458 64541\n6858 37008\n28288 72678\n47607 98650\n55375 80608\n48608 76227\n39475 80098\n3635 42500\n12460 60141\n10413 89744\n22210 48214\n6487 60270\n40488 89608\n37964 90530\n34101 65928\n18267 64671\n45357 49213\n48743 48822\n21788 63169\n21907 23132\n2071 27993\n15671 35953\n59349 88332\n8403 62940\n23455 32746\n20307 39739\n65335 65442\n61547 95818\n17424 91431\n21394 65918\n14492 75917\n55897 88715\n31408 85832\n20634 99541\n79570 84306\n24707 33777\n43564 81716\n35225 96190\n18426 67795\n53080 63542\n22729 74599\n21860 65461\n42711 48148\n5879 37879\n11081 78888\n73490 81385\n5468 68906\n22986 47260\n41973 88779\n15612 37018\n41858 76379\n21861 90088\n61916 81851\n43258 65399\n14679 71934\n79528 86281\n64821 91998\n16947 66056\n61517 68568\n44674 67018\n59739 74609\n54489 68994\n11525 36228\n4198 58910\n13672 72691\n25247 56210\n70140 95043\n36709 95308\n24408 58381\n10355 77718\n24978 69133\n12635 28445\n63945 87446\n33907 63752\n20972 56861\n35431 67296\n18297 28851\n47627 77514\n74769 89709\n18597 32205\n940 48818\n18074 91721\n13366 54386\n15465 97215\n49726 61357\n59227 73697\n61841 85310\n16819 36451\n82493 94841\n26913 74772\n179 21090\n14998 20904\n5330 94772\n28184 61614\n38325 80950\n42343 68187\n3400 19248\n34681 52444\n41464 61349\n29477 41696\n5207 88581\n27260 35161\n6053 36831\n51059 80472\n57886 81036\n42122 43216\n51906 83953\n5370 29033\n27973 61161\n5361 71951\n13307 92149\n15120 21220\n52294 92833\n757 15839\n93052 99837\n50391 79127\n51762 87802\n18810 21126\n57687 98903\n29474 66112\n20650 65177\n33100 38634\n21013 98173\n2523 89211\n18035 96464\n40175 86561\n576 19927\n19104 19601\n7733 36925\n56576 90721\n21557 65498\n43288 56372\n59012 66842\n74116 78843\n25084 30391\n879 15869\n47544 97074\n48564 71160\n23798 25822\n25331 27316\n14317 81125\n27588 97021\n66893 77372\n35658 58721\n16886 73646\n41300 88865\n67867 87270\n10264 44382\n20292 43382\n4792 63854\n72270 81548\n37249 79373\n21377 54401\n53206 58644\n33168 58659\n5562 26337\n23124 34210\n49631 89473\n35943 55563\n34907 50996\n36563 49876\n19911 20611\n44872 58319\n71112 74870\n351 53430\n40326 65550\n33747 36615\n16530 50654\n53781 82981\n43797 47501\n52793 72510\n13222 46556\n28587 92317\n10548 34159\n7095 42339\n18633 44809\n4167 63196\n29932 72893\n10941 86656\n6072 88211\n27166 58512\n13105 82154\n42456 77459\n24238 80035\n44680 57705\n44251 77648\n5440 84995\n50938 89597\n14434 44953\n38437 88630\n23534 29786\n20601 73525\n35025 89546\n12812 42055\n94491 96489\n15501 24657\n66550 90920\n28448 98894\n37457 80455\n81509 95584\n44805 76478\n15646 54731\n68198 87834\n8686 96559\n7757 82732\n75837 83528\n27668 69012\n26881 71080\n3385 27244\n66275 73004\n44943 62661\n2028 39325\n28072 73439\n30610 32020\n681 80807\n10457 60988\n3029 42354\n65616 88343\n25659 85001\n16991 71744\n4044 54992\n57797 76610\n51189 75494\n31334 62990\n23348 56190\n5278 53164\n6877 56209\n13687 88818\n67442 93397\n25491 58186\n34200 51345\n25261 54444\n40685 95162\n70994 92433\n36215 44466\n48888 78357\n16147 73460\n41647 92088\n23703 44308\n16966 86472\n3009 60789\n58227 86087\n18491 39853\n47912 94219\n67849 83649\n2443 7417\n24961 48667\n21989 95220\n28980 43468\n9780 65681\n40810 67288\n54979 67529\n49295 96622\n33015 90507\n89504 96391\n11249 63977\n68732 84575\n26735 83138\n4409 43928\n33465 76205\n29266 55540\n6130 68378\n35209 64152\n26702 57847\n6873 29863\n16571 50882\n59973 60916\n36391 73667\n39693 53748\n32847 70879\n24398 55379\n51920 77545\n12376 74436\n50494 71961\n45358 77669\n45810 80636\n25146 99693\n12314 73210\n9277 97654\n66732 95036\n9572 41555\n26507 48153\n43260 48347\n6184 85958\n30516 36038\n35390 36705\n20375 60109\n97300 99690\n8424 77521\n10807 46689\n17338 59203\n90675 95941\n32624 96141\n34569 54886\n48207 57609\n2842 76839\n45987 77606\n27486 97779\n23085 27071\n48170 62032\n74948 76090\n44725 72378\n66134 98720\n30559 80425\n46166 86500\n35670 86304\n30043 83056\n95756 96299\n10481 50129\n1149 95024\n46972 64459\n64523 71386\n22769 84644\n53295 88545\n55352 62060\n21735 49851\n23396 49744\n21968 63104\n20904 32037\n16417 92472\n272 36699\n72370 73343\n59206 90917\n21774 89716\n27485 47828\n8378 61567\n7902 98898\n39127 39924\n60273 89888\n9516 35684\n48121 92826\n29826 60864\n49120 56223\n47515 49630\n43355 83046\n25911 29367\n54120 73529\n60215 83152\n1759 78381\n28203 40221\n25696 47326\n8638 67160\n5592 74936\n90106 91357\n92574 94047\n7724 70914\n30546 79347\n14987 22148\n42892 87882\n31584 64938\n48644 73321\n1202 93610\n63837 94278\n21687 69773\n8353 27063\n1460 30066\n69563 73150\n26987 45644\n8486 70306\n33565 54714\n56630 99125\n1104 80878\n31591 43118\n11558 73991\n46299 95561\n29550 61345\n56872 98979\n58486 78110\n12454 80213\n14190 18219\n5683 74309\n18004 21306\n7659 47085\n40289 71093\n54327 95483\n29452 63928\n54949 91615\n29781 41556\n31058 48738\n17462 65378\n2068 70374\n15841 67545\n26251 55076\n23348 81011\n16937 24545\n36005 79361\n49803 91649\n55097 63428\n39519 74535\n674 49610\n24330 85183\n37830 45775\n28746 69655\n69361 74016\n10872 41774\n16536 64467\n48912 65068\n68031 96987\n2817 64827\n60202 83723\n498 97167\n48114 82104\n45555 61982\n79749 90054\n11426 54788\n83878 99129\n34197 69072\n20439 57003\n839 63647\n83129 84433\n28330 85701\n10422 41993\n9046 85858\n48366 56805\n88870 94926\n80198 82154\n35661 41355\n25101 44822\n86364 95933\n26179 44326\n12707 57221\n40645 90537\n2861 42128\n59758 60088\n36221 58814\n36716 67491\n54580 76287\n19538 72752\n43150 63712\n35444 59944\n25111 57510\n13819 72143\n19052 53211\n37463 42083\n43379 69929\n76893 92635\n2834 4000\n18920 49559\n15763 61725\n31172 58744\n53110 81121\n75809 76376\n47165 70318\n46339 59001\n12446 23107\n14747 56485\n4137 33942\n34206 78035\n40405 91229\n23708 73773\n4827 50464\n43948 59692\n45503 64386\n56376 75419\n82017 96394\n7505 26215\n69537 97734\n22447 43591\n46696 84654\n82716 84518\n37072 43402\n50538 78383\n19454 33096\n86598 97116\n20670 69273\n23781 63129\n59036 75976\n1955 20743\n18968 47575\n52973 78796\n26262 77316\n79738 80426\n4862 76986\n16432 95056\n73865 76935\n9335 35753\n43826 97955\n75789 97403\n22131 77144\n52053 58044\n181 76573\n37942 40615\n39702 43545\n35478 86009\n29670 57883\n24331 46581\n55110 81765\n54319 97357\n24119 32461\n10346 62380\n44449 52541\n45403 89105\n28395 77959\n33468 56327\n73619 86754\n11475 98730\n37653 39063\n15509 62193\n18596 22624\n6860 39535\n40320 57865\n6370 43714\n65601 91779\n14111 45989\n64187 64634\n21165 94524\n29071 65742\n7441 31668\n21616 57630\n35764 58468\n61627 99670\n20591 37040\n75191 75815\n36387 96527\n20565 41499\n22776 51644\n19462 94250\n19093 55325\n32226 99307\n29752 83103\n6642 70592\n31762 42729\n59958 72475\n51006 67648\n31906 33553\n36363 86863\n1229 26237\n4084 46898\n27854 79896\n21813 89528\n5121 50028\n68018 74178\n16988 85733\n74561 89565\n62979 92902\n3925 20784\n81442 99508\n1652 50653\n14874 82895\n6735 11888\n20821 98643\n3113 36247\n3426 19429\n91101 95042\n35600 49330\n19571 95696\n71571 83455\n18691 49874\n25876 25938\n53718 86010\n30638 50779\n51292 70150\n16998 61570\n53985 83598\n76220 80859\n27764 60109\n53214 67582\n38170 59186\n54467 64161\n27746 44640\n97918 98845\n7949 78925\n6440 90923\n38041 84856\n47908 98557\n32841 81663\n44571 83066\n16966 78156\n88348 99412\n44024 47505\n56115 63384\n17572 63528\n34080 66388\n52412 99445\n8941 66654\n46825 90837\n27309 62899\n71402 81184\n3543 68288\n986 24474\n7848 77632\n8396 71346\n18797 36024\n73948 83178\n22243 44673\n56858 93355\n6114 22516\n18491 36582\n7345 36859\n27407 68590\n9404 25756\n19485 21538\n47459 66323\n26512 51395\n37721 75061\n10825 78797\n1270 57488\n24484 98800\n29231 81611\n21702 38534\n1611 98004\n75892 86702\n30565 33042\n23628 31602\n16605 22116\n15841 34625\n17368 38943\n61469 80442\n30298 63940\n14403 86941\n62051 65802\n45052 98581\n30719 38449\n15407 62218\n49800 53333\n25483 41260\n17179 74668\n77937 78458\n30682 43256\n268 21436\n68608 95718\n85657 86813\n46363 47765\n32851 63615\n70239 99824\n43256 58116\n5160 21744\n19282 93470\n47521 88838\n32063 88635\n12400 19411\n24204 74824\n32395 52969\n11635 23609\n80684 91105\n57714 81685\n75536 97714\n11264 38678\n608 98622\n23443 41854\n25012 89628\n6550 18503\n33309 60731\n24690 27507\n21465 38282\n5733 23202\n13012 74987\n58790 90349\n5727 27982\n44362 59373\n12045 32126\n39858 65050\n1590 64348\n8726 97001\n39148 59274\n27871 82805\n2075 88278\n16117 62253\n5257 85445\n21463 53973\n46058 99037\n43902 62318\n17423 93808\n6338 72784\n7528 91203\n1990 86388\n58331 90721\n44903 51676\n83486 86471\n41556 94563\n46530 55869\n36419 88895\n22952 38599\n1187 35315\n10704 65221\n13898 83198\n8537 70582\n11019 40462\n12867 52762\n9573 77835\n47001 92093\n34742 94209\n37649 67959\n26769 56100\n15783 18016\n57969 70728\n24962 94088\n439 89254\n20034 88617\n46185 55529\n14975 99829\n43112 75970\n30279 93444\n59196 70339\n56385 68448\n3771 35758\n7540 9267\n62532 67027\n75380 88616\n75573 80618\n25896 69863\n25451 43845\n1073 46456\n13023 16391\n36548 53876\n67589 91073\n31410 49468\n30768 99122\n31993 89572\n3215 62675\n25936 94252\n11220 45151\n8797 94476\n5168 92183\n87839 95945\n85485 86072\n43546 95325\n17785 44074\n14854 73543\n64517 93052\n37169 78513\n61739 73075\n51400 68195\n39942 69008\n16359 42376\n20573 46507\n54431 89754\n72169 83901\n39253 74271\n1279 46934\n23893 36057\n68669 87228\n12692 83452\n46138 99588\n77746 84716\n60862 67300\n50373 82992\n16565 56454\n72863 94239\n1978 31511\n42452 76610\n59313 83761\n46827 47736\n92481 96936\n8500 41588\n23251 82658\n56222 68101\n55800 61036\n17474 57710\n48929 55810\n28144 47849\n10318 66086\n64427 84976\n17828 55027\n9014 59866\n10747 93019\n2788 2954\n45785 72086\n59642 67944\n71321 75832\n49646 74719\n2181 69561\n14576 51245\n16193 62964\n57964 81250\n31080 68340\n48765 95180\n57052 81155\n20585 23660\n10140 95064\n15672 31883\n39540 64190\n55677 80052\n79516 86003\n41992 90918\n30270 83906\n6388 45442\n32140 65032\n32021 85324\n16581 95922\n31640 86569\n3649 74127\n69437 85398\n5450 47232\n49075 96361\n51411 92624\n63799 67292\n88270 88771\n33212 50891\n23177 65025\n28275 43203\n11287 13463\n16132 28557\n45676 50575\n241 6012\n32424 34736\n28502 69308\n32039 76992\n54900 84424\n38305 89495\n52868 83088\n1773 26275\n17307 93347\n81658 86657\n31738 39775\n8744 70598\n32201 67920\n3465 72819\n50628 98092\n26001 44214\n10062 71420\n3457 22117\n9398 91889\n11676 41618\n5663 13437\n27517 47322\n13090 31776\n25871 46078\n10114 82810\n10689 44056\n26322 77287\n5368 57227\n597 28511\n28666 31492\n26425 93526\n72739 88782\n17068 74859\n34960 40746\n6827 92535\n20151 71361\n59451 87593\n12111 64692\n7580 85331\n37636 40549\n20929 50648\n9 34083\n56938 93497\n34245 50837\n49586 93659\n45236 74866\n52203 84496\n8274 63696\n74948 79643\n58748 64178\n35066 87143\n56997 73693\n5535 66366\n56704 77503\n44113 81629\n89 28188\n4231 96876\n14692 57055\n84214 85738\n62519 73874\n35075 38742\n48760 69295\n44736 62975\n22707 71673\n72790 75867\n26304 30808\n8675 69163\n3709 64621\n56714 63647\n11686 62523\n49273 73291\n1995 64733\n60497 86939\n73066 76865\n15065 52544\n65219 70406\n9738 25387\n86198 99902\n31056 41301\n51712 99059\n66233 67738\n15825 31810\n21083 61511\n3459 38233\n34618 57726\n8283 57937\n20790 87653\n58488 75419\n63676 93898\n4483 73765\n6426 82688\n4733 57581\n35665 96362\n3499 50677\n44458 83942\n22440 60128\n10347 50044\n6186 43942\n82837 85715\n31835 92828\n73253 96546\n39676 58679\n41552 72566\n13971 55639\n11161 59413\n47322 90326\n38062 96170\n6868 26471\n20946 31771\n22553 61175\n33475 82990\n39502 86278\n26691 36185\n6985 52688\n65943 68694\n21940 96856\n6517 64816\n27114 70867\n14828 94302\n63447 78781\n202 21721\n23089 87118\n60508 63333\n5048 54589\n7585 86318\n25393 71237\n8161 32115\n51470 56248\n5655 75234\n79066 96869\n5414 11237\n22236 42950\n96448 99245\n40458 68516\n23674 74306\n2691 9909\n29930 50252\n27805 52477\n29166 79933\n46481 76182\n20721 63912\n82811 92744\n31401 45132\n20560 50441\n21440 93139\n22475 51782\n9073 61200\n6597 37453\n28092 74577\n43365 87400\n2264 11457\n56285 83348\n53091 76410\n29414 71023\n17260 24653\n37851 43228\n80992 84461\n18868 40337\n49249 79717\n8051 18351\n35571 61119\n53700 57265\n23773 75577\n1396 85110\n53383 64920\n74607 87827\n15700 53141\n83276 91088\n18734 98093\n63061 91274\n47034 85212\n21394 22030\n17140 40710\n39210 87206\n13261 41980\n77313 92119\n18954 60260\n29611 73530\n1142 81410\n12218 25578\n16394 45489\n48143 76221\n34865 57376\n39178 64328\n16402 17524\n55286 88370\n12812 56991\n19303 83930\n17482 47020\n43612 47453\n8069 67713\n14996 57406\n63438 81483\n8419 78363\n32688 78404\n49304 61831\n54799 78300\n10985 83743\n17618 67412\n47116 57094\n61297 83222\n3335 82538\n32273 84316\n2917 76906\n53313 66975\n32876 47413\n4379 9139\n44852 79758\n44113 81336\n5125 91632\n17115 44016\n30315 76417\n3631 14603\n26543 82635\n90560 94591\n25426 55073\n71747 80334\n72201 93934\n33239 70317\n79656 94040\n36550 85232\n38196 77811\n34253 71853\n17606 60062\n41570 50733\n42550 56909\n17009 51215\n17747 83025\n12545 54666\n411 51563\n95138 95385\n46137 73888\n81343 96215\n2504 97838\n45422 53120\n47409 61653\n33793 63721\n35616 88871\n4219 76065\n9939 90888\n1377 96338\n6920 97282\n20314 35934\n38665 62714\n48491 86725\n53948 54947\n3005 5158\n48355 96449\n67543 84473\n9104 22216\n12663 64453\n51985 76531\n81708 88461\n21140 75448\n1322 38021\n18189 19386\n5655 16436\n11663 46956\n5700 86539\n38518 71883\n1906 20700\n27500 74863\n69718 83397\n2676 45549\n25596 37724\n58582 77668\n91149 96912\n41915 54117\n34173 46842\n16056 90882\n55539 93463\n25286 60089\n76169 86285\n17435 46044\n52378 66650\n26675 67243\n93385 99755\n10150 60295\n565 64682\n50817 70406\n45013 87688\n49226 74748\n34489 71634\n79498 81565\n6960 26012\n9761 14726\n21244 50883\n7169 40790\n78715 97004\n33673 57568\n32160 48781\n31786 80279\n6509 62913\n73350 78355\n5706 30390\n30055 96472\n25308 89221\n62445 68922\n25558 73307\n16322 45611\n49491 82449\n35700 99463\n45443 52918\n51214 51746\n83020 97558\n1849 6723\n87768 93769\n16904 41563\n68095 69837\n52185 78970\n3259 70115\n23427 92147\n17449 94907\n51194 89017\n53083 59922\n58537 78384\n12254 90817\n10930 53983\n13475 62455\n26846 64595\n6026 34177\n80462 90112\n29071 64780\n19437 65587\n52694 59495\n49475 81750\n9731 65882\n14832 66815\n24009 86329\n4155 90148\n65833 67025\n9667 94634\n77136 92461\n11689 47148\n19583 33074\n30890 45989\n46603 52452\n13161 62387\n46024 74067\n52157 99268\n39627 78474\n6419 95592\n3391 96448\n46339 86357\n51698 68678\n48393 51541\n33712 67634\n29283 72899\n6760 54182\n46438 46913\n45095 48405\n5792 89469\n52146 73425\n32109 67307\n5869 60342\n2240 89124\n22962 36351\n18282 37417\n81707 83212\n17817 33244\n39262 82716\n31272 70269\n43289 69046\n49027 67664\n6439 24351\n17673 50243\n58423 68508\n21078 89083\n6784 95732\n12831 80620\n55919 67582\n8677 87885\n87289 94038\n47488 60528\n36521 72293\n267 91418\n49960 65593\n38034 40363\n84346 87546\n39056 76995\n18628 33776\n2648 34947\n32360 88081\n7672 42330\n31448 74263\n1997 64859\n12936 70804\n43477 63828\n24405 31482\n32430 94711\n19937 91795\n51075 71019\n41324 41522\n17226 83485\n36429 43651\n53549 57367\n11595 61844\n48084 70036\n66779 67713\n50607 84952\n90406 93894\n43250 57633\n68416 69127\n47543 87650\n25997 70157\n16109 74986\n41346 97359\n16628 33614\n54784 96431\n81919 88123\n56183 97554\n32635 73317\n49458 67236\n51465 61843\n48652 95285\n34881 46645\n21828 25530\n12921 50507\n55522 62681\n26809 52530\n59995 60101\n27355 76292\n9893 45751\n1452 85863\n71070 74442\n24416 75475\n5036 31248\n28494 97719\n20667 30207\n65039 88491\n65035 84330\n35764 38827\n15100 79268\n33583 39302\n26989 32211\n3485 53579\n24490 44312\n22656 55337\n30260 62742\n7346 60789\n56527 82711\n38872 94268\n14494 35498\n30772 47870\n18340 25507\n25879 92135\n75611 75673\n73059 98241\n66161 90761\n55162 82012\n43876 52167\n32469 78853\n55075 71077\n31591 73467\n55685 59633\n311 94058\n30190 73802\n46322 47618\n33872 68505\n67725 88759\n19547 58599\n92232 97486\n11417 90812\n42918 85646\n36623 85329\n11013 70225\n90817 93881\n34316 98425\n8573 73782\n17644 60181\n32645 34382\n15522 96242\n13489 50862\n39281 86399\n79708 99387\n71121 73057\n10414 49823\n30973 94396\n13699 59314\n47047 62305\n67666 92902\n64497 93831\n6677 96139\n41527 79281\n36037 60630\n84347 96581\n79772 93148\n46400 58300\n51435 66742\n41883 79064\n20135 34912\n10644 48076\n17910 43618\n85946 99728\n62679 91620\n33924 54756\n60455 71207\n21335 78500\n11890 50671\n42152 60732\n10167 80156\n30493 57714\n26222 76642\n12694 75439\n67673 68373\n26026 82485\n72177 77485\n44430 95039\n63514 76595\n53276 74164\n16537 75672\n26523 74522\n86616 98001\n51858 74125\n3182 85254\n59598 60104\n4026 76158\n3885 47493\n89638 97733\n26591 28246\n28349 86619\n30785 98321\n34955 87498\n35546 77863\n44523 54871\n34239 67976\n72531 79769\n3390 5273\n6557 87315\n18571 68921\n63008 85788\n38331 44884\n8591 13370\n44199 85716\n2100 74853\n79534 88103\n34321 78531\n26178 60241\n26720 61216\n21373 25697\n7516 77037\n53156 83068\n14775 91463\n2055 7505\n832 40573\n46402 84453\n80422 88222\n39399 44562\n11590 20945\n55879 62383\n31430 37702\n28099 86752\n7849 10255\n38352 69731\n52285 89647\n26723 55217\n47508 89385\n636 65547\n21672 70376\n26420 28787\n47219 96260\n78031 83980\n5716 93963\n46548 99890\n69077 85962\n39906 98591\n40309 56621\n56740 83553\n42140 57548\n87690 96156\n82100 93338\n40864 54829\n32780 87486\n24953 54423\n18207 56485\n27307 27725\n8515 96883\n30568 86403\n8169 72440\n2807 44895\n64274 70694\n13323 67246\n83 15291\n9445 66217\n78683 87305\n20067 28417\n6661 51191\n14678 59060\n4857 18589\n3373 39528\n8261 54285\n16474 17233\n26704 29707\n12296 23007\n78647 79418\n25541 74223\n21995 99810\n25611 38808\n65015 80778\n48901 90908\n36038 55764\n44703 82046\n568 83790\n11860 37394\n70656 72523\n54861 85495\n8291 97753\n20047 62348\n50648 53307\n7674 49036\n50802 86883\n55661 61103\n72167 96960\n43986 56312\n10987 45191\n72507 74205\n7958 72717\n14366 24995\n3503 97369\n21379 35081\n77286 97267\n20727 56900\n52438 97540\n63320 79752\n79562 79760\n55025 61243\n60144 85072\n8544 40642\n42961 81359\n57838 66627\n48109 85129\n52208 76538\n18299 64264\n28846 47863\n29001 82285\n73245 97698\n4287 32905\n29828 93365\n25811 93563\n90697 90867\n5765 99222\n18143 95512\n7900 67435\n79854 93873\n19778 56303\n7184 74613\n71842 88873\n44265 76254\n59316 71741\n20928 70043\n63453 98243\n20972 39505\n50721 53155\n3188 67487\n46841 85494\n9319 37260\n17943 21722\n51561 63538\n77357 82209\n484 18083\n2393 99829\n79239 93425\n64787 93690\n27967 74011\n41124 61923\n11963 36413\n77336 91950\n24298 33665\n85461 86875\n8180 41458\n10779 88030\n61407 67813\n44205 55411\n18497 68965\n78898 97718\n10294 51363\n23484 33696\n15192 97324\n32320 55771\n1667 99000\n54198 71439\n33039 53182\n23434 76574\n52676 93391\n9123 52962\n38581 87946\n14927 83182\n24487 82100\n7873 21457\n39272 65570\n31913 66626\n76241 85858\n37058 77081\n58574 75362\n2931 37331\n33431 34537\n32208 77287\n15197 15274\n16159 46516\n33877 96755\n36479 80161\n1446 70703\n60666 73228\n54435 56111\n56715 97494\n49430 64206\n7454 36273\n24349 54202\n66484 79002\n58103 60966\n20987 35990\n30876 92000\n17149 79591\n43573 80310\n24705 33047\n33432 78783\n37720 85754\n52899 80319\n60764 95855\n22478 46191\n26015 41147\n44496 44575\n3047 25157\n47716 77796\n4353 12014\n4523 63776\n946 8387\n30856 90472\n3600 24332\n1503 62593\n30953 76997\n40588 45500\n5312 43072\n1159 82933\n43137 70867\n15772 53645\n22999 48254\n62160 62805\n63830 88753\n9596 97965\n6411 52418\n42227 64307\n51320 76926\n55740 56368\n67506 78695\n46394 59292\n36330 92566\n60175 97122\n42311 79697\n37138 82205\n25824 77262\n25646 46809\n5306 32927\n40074 70537\n6645 11161\n69136 98591\n6723 90389\n29655 66932\n16819 91055\n25692 82257\n25741 35216\n7011 92694\n46789 99885\n33524 56794\n12448 26391\n54546 70990\n14867 66276\n3616 5782\n58358 73395\n48249 63120\n6733 9923\n4157 66539\n48620 98454\n24584 77441\n23918 24352\n37 70634\n42873 80964\n73083 86917\n14946 70243\n38548 78643\n21405 79435\n7232 15601\n60566 87833\n12828 15510\n11347 72218\n7948 18943\n41032 79230\n24354 60003\n37412 39320\n30531 32433\n2375 60775\n4845 96093\n53882 77669\n7955 66431\n20372 59981\n35174 64699\n8313 8810\n24936 90742\n16232 29135\n24684 57216\n33154 99956\n42802 99379\n62778 78324\n58015 68373\n28525 41621\n11686 50227\n18138 30811\n5480 84329\n5994 86397\n23499 57651\n75829 84985\n32969 48335\n3580 71956\n44727 57370\n36643 57550\n28647 48286\n85433 85485\n23595 79116\n13746 93170\n30345 39571\n54300 71848\n37989 63835\n62880 93015\n55396 82746\n41049 78963\n30417 49778\n4928 9309\n59792 86492\n53514 91607\n2076 39878\n17435 38492\n51217 79974\n5248 44798\n31450 93592\n18057 83480\n44992 55095\n54120 75172\n6438 14210\n6716 30147\n55012 99598\n5628 58011\n46575 56794\n20156 32047\n34684 56212\n64822 78130\n18467 19292\n2699 23483\n13311 86804\n34302 64458\n50120 94984\n31852 90858\n65126 80261\n59520 70990\n78963 80036\n40904 52822\n1456 94138\n58738 75603\n15889 57333\n48019 60442\n4693 84314\n75609 80463\n7938 25485\n8220 25919\n46877 56101\n25004 28591\n93023 93150\n62292 85293\n38879 84454\n42423 86156\n57402 86244\n11686 24362\n25557 27546\n34814 83495\n6637 70174\n18104 47014\n77283 90790\n48311 83059\n36142 69322\n24399 32166\n28240 57116\n61625 74598\n38028 64302\n17915 57374\n28129 64171\n76789 79957\n2154 84413\n8942 21255\n32498 85994\n28450 51434\n5737 90358\n27794 28582\n77508 94088\n85238 94187\n11714 46464\n40831 98824\n76802 84798\n14217 74707\n42091 95228\n16416 72213\n24366 86230\n2761 33867\n9903 44410\n32134 91424\n1991 76942\n9320 27227\n5853 84892\n25986 42583\n84959 93614\n26347 47144\n29670 72961\n12595 67662\n4479 48871\n74791 98461\n46929 65456\n22335 79603\n31417 33758\n67678 84662\n6897 24277\n12729 35419\n11672 20458\n20454 95915\n39391 86182\n63269 77905\n2664 3817\n2784 17269\n22876 43452\n52191 58963\n8322 23889\n13453 79617\n72347 73302\n16148 81224\n73174 81903\n20274 44097\n17080 92659\n24968 63039\n69583 78921\n44353 77527\n41537 88990\n11504 95089\n49752 80331\n74496 90874\n58493 64469\n30799 48041\n1864 2369\n23329 27751\n49550 83556\n4279 86995\n87598 96416\n31966 42766\n43 15523\n53193 65004\n49310 68145\n57079 77340\n54675 55843\n10086 57980\n31445 62595\n26904 75768\n15869 47172\n29554 50670\n19535 94675\n25349 69996\n90247 91098\n36551 37731\n10502 48667\n67042 77965\n24753 59821\n27784 91367\n1248 33781\n85136 96546\n28986 96444\n67727 84798\n43515 97406\n7077 48176\n27225 34838\n58237 71313\n25710 94565\n75742 86612\n61784 66994\n15806 30076\n64741 69708\n6812 43499\n49694 67129\n73490 79296\n51774 86923\n76156 87190\n7959 94220\n77174 87485\n72736 96077\n66341 69043\n66170 74759\n51540 51959\n62639 86980\n16369 31599\n74384 82742\n50697 84546\n7577 67422\n26313 60027\n12122 37998\n8960 74536\n60693 81200\n2505 47511\n21622 72543\n27412 72227\n63939 68306\n25711 87465\n63412 72282\n63662 94537\n36314 49098\n41812 60579\n7722 71788\n37665 57183\n45112 84168\n26067 55637\n4687 73853\n10897 20515\n4832 71261\n47515 81484\n15447 29866\n11709 28161\n15758 75706\n4351 13693\n11016 71617\n23353 79059\n36304 65369\n29168 63268\n22934 74250\n2319 69537\n6713 93697\n7556 40645\n19961 21018\n6631 26948\n33927 63802\n77071 95239\n5272 52199\n33368 80054\n36749 90373\n13293 49848\n2299 74407\n55584 56523\n56367 92808\n61268 90302\n79171 83449\n68120 77448\n1863 91369\n55692 60605\n46621 71517\n95481 99067\n21913 35754\n32578 50652\n17486 34783\n93402 96552\n51504 63191\n79152 85948\n11351 20640\n70901 77976\n35609 79446\n39637 73790\n182 3625\n25443 77878\n53311 81121\n43853 63959\n79093 85832\n49908 75259\n5289 83290\n22523 43496\n51618 74678\n18944 93595\n70712 74053\n40673 90149\n4553 78906\n48084 54473\n42272 60408\n30266 75740\n19387 86796\n56625 70974\n4967 29910\n19596 71981\n9061 70763\n66001 77887\n8051 47560\n3088 90121\n52901 76959\n16751 84373\n45372 99808\n64277 67250\n37658 49993\n73986 83555\n24817 46923\n29708 83608\n11763 76745\n63671 86157\n50264 77838\n31300 60822\n71547 97558\n43422 46723\n49243 92029\n49584 74246\n60475 90284\n742 94687\n20016 61888\n27462 45516\n37491 77685\n30857 95213\n95995 99423\n10915 66189\n13676 25241\n80414 86421\n13746 90895\n33339 37182\n56979 94967\n42220 87940\n40898 42386\n69031 83386\n45569 63471\n18654 72456\n38732 79204\n17847 80196\n64301 77364\n35181 44879\n60969 96669\n12106 67558\n36210 85351\n37954 79405\n60321 85303\n46044 62096\n25626 34018\n14998 27078\n64463 84863\n76924 85372\n6206 85772\n94149 95734\n58892 66114\n35815 80755\n9585 49445\n1678 49407\n50427 80281\n39012 53911\n62619 63409\n13828 77783\n6933 59220\n29818 54713\n72498 81270\n8246 11437\n88033 99382\n16889 50147\n23035 41004\n10656 83696\n38621 91190\n19693 61986\n29715 65953\n75766 95942\n23772 36298\n62590 85704\n12470 94905\n74970 88060\n11152 75367\n24462 28346\n10986 99771\n20800 59778\n31261 60519\n47054 62014\n46486 76110\n17758 24482\n12075 16271\n3392 14615\n71626 73352\n79254 91714\n5595 83126\n31788 70822\n57965 81941\n9546 65355\n24300 42202\n76142 87803\n4790 38109\n13223 97849\n55079 61645\n7596 8999\n16846 72824\n38385 99692\n22096 83162\n19016 57861\n76660 82527\n18473 67707\n9768 9848\n26890 50718\n3980 60426\n79435 92200\n62387 83852\n69647 96464\n11839 66091\n69100 96781\n10196 26466\n44110 62894\n26738 74942\n21399 74769\n59274 89133\n4358 90863\n66546 78022\n16120 82539\n10482 39053\n11890 91970\n52652 70366\n87362 96187\n7559 95195\n13034 41478\n79522 85933\n44103 99901\n23296 80822\n50249 68302\n52275 98853\n7317 85857\n22302 31651\n71487 89109\n48842 67158\n3297 40280\n4709 99427\n34793 68572\n67210 85157\n30746 56683\n12990 79244\n64794 74785\n70157 91164\n36536 95047\n53634 79338\n3708 64457\n59330 70108\n5079 75141\n28910 82447\n70950 77044\n77822 95722\n24475 43175\n17558 31648\n6595 90933\n77332 91214\n47285 49964\n71553 73240\n469 39302\n34226 60996\n24019 37335\n63383 75092\n39903 74998\n21568 23959\n25663 97783\n3775 49445\n55986 76828\n47501 89668\n67717 76883\n28578 36210\n63271 80599\n16172 46415\n41556 73133\n55452 95339\n10529 96037\n25159 87265\n49581 87162\n10888 33417\n4610 38409\n14302 95385\n44999 64201\n45713 60879\n26972 41643\n50134 71980\n22160 78296\n53641 62778\n3320 43112\n68653 98579\n10101 90828\n45467 74506\n22517 69473\n14563 64375\n16029 17823\n62546 82398\n93683 98905\n14978 38103\n51355 75921\n48435 72503\n13019 15607\n3885 16688\n53084 82225\n70850 79061\n4725 30439\n90803 91905\n4701 31476\n11577 82568\n31586 87834\n77891 88316\n4426 29159\n42923 46988\n2459 35173\n42614 73257\n67537 96832\n28547 29455\n31296 71531\n6373 91725\n6742 46264\n30152 35605\n58338 74583\n53126 99302\n10787 76336\n37978 60274\n25157 82217\n44878 74707\n63097 67242\n76446 83537\n17412 44998\n55114 86680\n18244 78549\n72971 89772\n26821 37498\n60533 65976\n11722 91095\n73700 86006\n25857 71836\n41849 93091\n52227 77865\n48417 67228\n63479 63934\n81228 86552\n62100 80554\n8891 39682\n22701 38235\n65088 94008\n25533 64660\n11288 55972\n23198 32904\n50405 65066\n46117 76758\n28196 50897\n4591 31571\n23530 37139\n14188 49352\n10795 64412\n39972 93930\n75543 92198\n12619 87565\n2062 57090\n54663 67124\n30690 74234\n19076 99688\n24895 87088\n16044 57435\n22993 85559\n61712 64079\n4464 76869\n28817 48246\n60849 94834\n15338 27293\n58066 59562\n10855 85817\n26955 50554\n2833 80072\n7389 30150\n4760 33049\n77347 94596\n57924 94732\n12454 86308\n18145 26716\n46871 96692\n26693 89566\n27244 54189\n87803 94515\n34374 79439\n37942 71180\n18087 87076\n64470 85321\n35667 45963\n5414 59299\n44395 52805\n13472 53079\n12441 92130\n19807 79401\n29210 70230\n1965 22024\n9273 67664\n77026 81131\n23910 53409\n38427 81533\n12894 28194\n15563 41252\n79780 97883\n20446 47161\n61320 89813\n58529 80550\n3724 22660\n9875 73801\n23412 84637\n69471 74930\n898 42742\n47975 48294\n34999 77840\n10465 16002\n65507 80883\n71718 88697\n5166 14482\n40727 61429\n28932 47773\n79056 82640\n1130 85885\n59436 70484\n22207 90988\n60518 64871\n18620 24206\n15669 70383\n50124 79260\n35301 81990\n17511 44654\n71530 80737\n31398 71070\n28295 36534\n71284 95442\n9939 17866\n8335 67933\n1977 27821\n53757 71916\n17464 93301\n31487 43797\n49094 52980\n55204 93502\n67607 98945\n39760 40671\n22115 72364\n18847 39156\n30224 34461\n25306 86810\n44272 51245\n9417 47990\n3476 23533\n2085 42495\n14394 77369\n24478 90913\n26919 47965\n44224 48268\n14490 39338\n19736 58813\n31874 65665\n90445 96832\n65042 90809\n26364 73884\n11603 18579\n43909 48024\n19765 20291\n21338 64979\n13934 42002\n6597 20450\n80964 88113\n5935 28103\n12470 69527\n30761 64999\n59348 81013\n87572 95694\n54589 61378\n45145 72842\n25066 70336\n43340 83316\n55916 99859\n18797 26523\n90070 99869\n34207 35815\n48790 89625\n11792 95755\n37811 52334\n27999 61749\n9954 60014\n15526 41505\n11261 81258\n34006 91833\n16797 86153\n17739 64602\n15147 94118\n66577 89707\n53567 87431\n12524 92673\n73739 75296\n40485 56135\n18484 98924\n34057 75270\n1438 94512\n50779 53835\n38883 81418\n44835 64262\n24817 32750\n46615 54888\n4244 77357\n46775 85202\n30852 84883\n11312 19567\n52765 73230\n63738 89439\n55210 81929\n2186 59645\n83524 91069\n14344 24544\n12007 76375\n51605 54746\n1963 30871\n17077 44825\n1025 92927\n33064 50637\n79758 88958\n69554 91398\n27243 73712\n7796 54766\n71731 86618\n71867 94405\n15232 37997\n887 50095\n69363 80364\n46889 69128\n24200 57661\n16076 55273\n1738 78710\n6203 90602\n66230 90102\n6910 29344\n46408 67603\n65451 65585\n20068 57819\n30122 47832\n20986 91281\n62890 93795\n8509 97196\n3858 41162\n73130 88238\n9600 70265\n19273 79410\n10160 51633\n1875 17681\n49816 78754\n22647 80273\n8928 35296\n39656 51285\n13871 33468\n7709 86589\n5204 60006\n6002 63324\n14481 53058\n44245 59989\n77204 90354\n59352 71371\n47500 65931\n47454 57314\n22746 25656\n27073 46528\n29290 45860\n6847 56055\n64756 75947\n43708 82589\n75224 88511\n62703 71751\n11983 74661\n31156 53252\n41004 80714\n27924 56342\n48972 49390\n19999 67867\n51927 62532\n59906 72260\n24287 55108\n43224 93262\n24968 93087\n12596 65986\n38207 68868\n40713 65194\n38354 40596\n9961 40918\n1133 49497\n8002 52469\n25928 97755\n1984 74668\n1280 7635\n66766 94043\n43998 70568\n36887 87889\n40473 61228\n28803 39525\n41172 51275\n5337 24253\n28264 68515\n30308 69151\n63738 93369\n46285 53735\n41111 78138\n54230 77695\n75276 77020\n29518 41196\n33338 78987\n35729 99858\n19113 52776\n6732 24678\n23321 59688\n9643 82635\n66642 74146\n32484 98098\n10845 95051\n45587 77168\n41020 60562\n13972 36568\n6212 94435\n29705 81173\n44451 48356\n88022 89908\n61806 71720\n8422 22222\n66705 79424\n6696 75780\n11193 36594\n3122 86064\n44147 81047\n49962 57417\n4449 43379\n89319 99712\n20946 73009\n40396 76904\n36781 99955\n58534 98656\n47818 51152\n85469 88777\n35327 80780\n14786 81591\n8833 75900\n33610 69697\n58253 83322\n60130 60220\n27921 72233\n65398 86111\n790 11141\n47964 63273\n68159 80748\n32613 44402\n10024 23756\n57032 88996\n5729 85712\n9193 29457\n44325 83090\n8597 88052\n5739 91857\n4948 59867\n34683 43266\n24126 83128\n80826 99969\n70105 88585\n5627 95922\n5151 91877\n51636 96096\n498 50866\n14504 42421\n86846 94805\n23039 70295\n10304 96653\n29928 88543\n36946 73333\n3704 50860\n58849 72332\n89386 91426\n64235 89968\n72554 74945\n72068 78691\n26110 68011\n31988 52588\n22815 60896\n75183 94772\n9565 88777\n71906 91327\n46764 98986\n19960 94622\n10784 96881\n43558 85735\n49718 66086\n4491 66505\n29297 43277\n20356 98438\n35507 95020\n73128 97119\n18227 98395\n23382 34002\n28712 36875\n35987 37485\n2537 86333\n23382 31372\n64298 84224\n46854 55660\n16470 60284\n40427 66108\n32274 55783\n58231 77548\n83739 84390\n19031 29613\n36918 53688\n22398 35896\n32426 40248\n20911 59996\n30324 64540\n25889 31840\n77073 83289\n4949 91125\n9645 19633\n42149 65944\n32544 49073\n40479 94099\n29296 72952\n26861 51038\n52864 92566\n33878 58447\n228 66659\n5085 68466\n63067 88351\n39853 45909\n64809 91941\n63121 84985\n48067 87056\n35685 70462\n24995 37863\n21468 89316\n41122 86842\n26153 90909\n34096 55455\n56018 76500\n26079 89647\n9280 52041\n58573 70739\n49655 91692\n15946 29386\n62294 71356\n28453 80617\n9269 49759\n11245 86211\n27389 52368\n3489 4022\n33921 74730\n36138 42029\n87570 92959\n44458 75542\n41626 97154\n11463 88885\n40251 97241\n27272 32458\n46222 93752\n57228 68062\n3340 86081\n6891 51423\n11405 79762\n42536 80021\n42684 92868\n1849 94656\n56652 90228\n22036 82536\n3972 43819\n56630 62064\n20233 44601\n6745 67949\n33071 63560\n36968 92117\n49216 94497\n30023 61740\n58019 81525\n54824 89268\n17024 53556\n84570 92202\n38818 56261\n28036 85789\n4554 59945\n7062 60305\n6217 55504\n24475 41147\n2415 47134\n21204 22211\n10052 14141\n43893 46133\n81561 81843\n23627 73364\n76383 81294\n28660 39119\n82351 96021\n32584 60989\n6579 26897\n8500 66212\n16062 64796\n32619 42207\n39132 69515\n25584 66353\n58990 71982\n21081 43627\n8844 53115\n63120 99706\n8551 34837\n76931 78834\n18932 60558\n14069 76781\n42775 64133\n10012 93555\n66810 69899\n81867 97067\n44771 76093\n28709 88598\n40410 62607\n68443 74549\n23170 67020\n7960 82125\n65509 76698\n73803 99015\n135 67489\n48841 75265\n59350 73533\n41784 80430\n22843 42753\n31344 96784\n35392 69133\n43524 60097\n82421 99637\n38996 88085\n52589 85212\n9605 88077\n5104 12259\n84607 95559\n65862 75360\n20872 37810\n13478 23161\n2270 52631\n44123 73360\n11790 14328\n32543 37476\n21145 47644\n1349 10525\n51464 60735\n12812 17582\n31815 60615\n4807 44175\n36329 89675\n11141 73647\n41609 64916\n1504 88916\n8843 89183\n13977 25168\n14044 72090\n64444 98577\n66339 75721\n8743 23908\n509 67321\n26151 62845\n4990 46918\n66002 81074\n10754 64698\n3815 24757\n4887 63227\n52958 98201\n2137 82225\n4760 80047\n69584 77881\n22607 97361\n1875 12425\n1457 87807\n23540 42048\n35806 44818\n14295 60772\n39781 73286\n79890 88551\n783 75385\n66964 69047\n51791 58252\n21893 30022\n1651 61444\n2401 12337\n12931 26172\n37372 89631\n46119 93804\n16286 79584\n37055 73391\n19991 67936\n11109 22974\n64967 78283\n19976 79373\n94402 98952\n33709 34113\n66948 73206\n11783 17321\n24242 29754\n413 72784\n8568 80797\n57666 96613\n25336 39098\n8373 71255\n17545 25532\n69805 85589\n5112 69270\n37696 39942\n8788 96519\n43158 69183\n63762 73173\n10812 95649\n3351 76390\n17046 40673\n28806 73128\n12140 17642\n36926 62079\n20239 98421\n48494 52505\n12337 15650\n42278 61203\n65848 73555\n60768 71903\n14918 46129\n48624 86738\n47962 50371\n43696 49934\n61688 79295\n42512 63416\n19704 60777\n49216 69105\n93736 97385\n23305 49703\n38976 73731\n20883 23486\n20972 43582\n36212 80844\n56151 80185\n42456 43628\n61749 93587\n27752 56795\n50711 75551\n86155 90796\n51835 92570\n9564 59175\n10777 68874\n53844 82234\n35864 39834\n9505 65666\n19326 31205\n56691 99431\n48890 58964\n31253 90494\n62769 63160\n45419 87005\n26143 48042\n49227 81409\n12496 96630\n57472 74918\n50528 88251\n4339 32676\n86846 92291\n3205 55425\n3102 60008\n17488 37645\n1362 80157\n1206 21069\n45270 78417\n42008 96850\n67531 78852\n10400 14425\n39855 47341\n69679 85190\n2880 65473\n68282 97009\n42448 91613\n2105 18907\n16022 46916\n9420 41733\n21990 23844\n57603 73361\n12318 51563\n19125 54507\n30587 31190\n38669 45105\n54876 99840\n31458 95813\n16849 96784\n51608 72968\n44653 55526\n22109 23741\n30896 38019\n8988 17791\n2744 26393\n73923 82755\n51630 54226\n43541 46743\n33153 55306\n16814 27719\n34625 82965\n40511 53072\n10081 85254\n51394 72827\n62136 62631\n45900 99053\n51347 62388\n18665 95167\n48775 88413\n1967 6847\n43963 80147\n64734 84243\n73749 86081\n42290 52525\n37017 50798\n2662 77068\n4375 86606\n39633 79931\n20701 32521\n20529 66366\n39353 85694\n3863 74321\n69172 93338\n35932 57058\n17429 76418\n16785 53292\n41859 42405\n28942 73413\n23245 73882\n19899 44827\n10292 37979\n247 6591\n58566 94717\n31636 42797\n7275 34287\n1768 68908\n12266 42039\n23095 59594\n21908 47632\n436 4737\n29539 87807\n15338 25052\n22596 48820\n66327 67025\n63507 97159\n74787 96342\n5658 19123\n55473 94115\n11561 96386\n78098 81784\n58312 77528\n48573 70587\n11566 21062\n10860 95192\n31187 70676\n41758 66906\n57079 71370\n41100 60157\n2483 10548\n55015 96562\n7048 34105\n2972 33200\n25671 79663\n4379 73760\n90975 94409\n60821 94215\n34512 56951\n582 31188\n32754 54769\n82160 98915\n23955 60502\n68901 74817\n41256 75720\n68288 91681\n175 76257\n571 64821\n23647 44123\n18574 74966\n15528 52128\n72530 85638\n3180 94911\n46302 56346\n31538 53881\n55868 59081\n39928 63728\n19099 58331\n16089 30639\n23122 80799\n94692 97743\n49138 67372\n83 5302\n16073 35359\n84743 87676\n20071 33747\n5922 44748\n9110 45811\n6891 8774\n74449 77596\n3458 55922\n9055 9606\n44358 82896\n27003 88697\n63076 96592\n35825 37439\n23458 30614\n112 92030\n13536 82244\n7137 90649\n25018 89778\n18436 33059\n75678 89450\n36425 73745\n7502 43848\n15048 53355\n3743 8051\n37174 75520\n32849 70146\n65437 99786\n23162 96011\n19759 62645\n49691 63174\n63843 73192\n71265 87886\n14895 83638\n33231 72453\n7576 18680\n876 3832\n14552 98346\n6828 70290\n15732 76011\n8075 86533\n6296 89140\n68345 85940\n22698 74083\n5931 19544\n54400 86472\n84905 93846\n38457 85485\n9505 20272\n33907 98993\n13906 80282\n65407 97815\n31471 67471\n53655 88355\n24129 80144\n32307 84867\n61053 86792\n53670 61087\n60338 86290\n61693 96616\n15895 22342\n65119 70516\n88737 89649\n30143 96301\n20188 94544\n54136 61696\n12992 88079\n50938 51001\n22940 38933\n73223 84888\n6851 19349\n37377 99402\n413 86966\n37281 79594\n32030 99990\n2476 57388\n6580 72061\n441 10316\n14534 54931\n49634 55308\n58686 71419\n23935 56900\n59060 84430\n42720 62588\n14580 64945\n22843 66624\n14024 87170\n43141 66326\n52237 91955\n18242 66403\n37735 83359\n17232 26254\n8990 84622\n13365 70701\n44083 65137\n41412 44779\n1980 40440\n19467 69026\n30120 40778\n24784 28580\n16951 38513\n66792 91537\n1693 10365\n55071 89303\n18705 65324\n28055 62780\n27354 92967\n44942 66884\n3072 58990\n14717 48602\n7429 55371\n23129 72137\n25622 44122\n2470 88503\n83750 91150\n48993 81790\n30335 30350\n25844 84042\n74530 93102\n30788 44226\n26245 87837\n81666 91353\n11474 41341\n78897 81584\n39081 49422\n74934 96521\n29338 82009\n71588 73354\n21332 54134\n68657 99134\n5760 99029\n3716 14815\n41330 78578\n25153 33111\n12215 60687\n22059 93495\n29656 66861\n89178 93550\n2995 89779\n20211 66129\n71477 98715\n1579 78827\n41480 98128\n10190 53385\n41809 41982\n30357 55475\n26424 32604\n34092 63729\n39032 45047\n41728 87606\n42049 75293\n37999 49426\n24948 87002\n3604 23231\n26266 87922\n18781 70677\n27392 31670\n8963 87117\n9822 77967\n57950 96709\n7506 21940\n30732 69687\n29676 41901\n1963 44254\n8330 76021\n50434 53034\n76578 93286\n21755 69249\n22428 32982\n55707 96163\n8863 46690\n12678 33401\n28185 32026\n43260 81589\n33949 72998\n19855 96769\n64602 73111\n41487 67742\n37130 59731\n50766 97783\n6896 33905\n52466 59223\n54534 85747\n16171 33836\n18167 88443\n9833 81711\n53538 70585\n4983 54566\n33199 66716\n24447 93440\n10181 38189\n22449 75883\n63733 95016\n29668 90162\n23522 63326\n25376 84968\n31514 77190\n23941 47455\n4471 93490\n61790 62576\n71348 80315\n46572 63450\n32339 32864\n54562 78109\n13781 32713\n40044 56019\n2767 61461\n14151 41975\n44933 55269\n17524 99205\n4084 52285\n16644 41286\n28648 74828\n21879 85582\n68641 90990\n3582 11694\n69399 83384\n33881 45209\n62961 69734\n6273 15708\n4364 64366\n32293 66725\n14743 28283\n72916 84279\n10147 26476\n88368 95826\n41012 63187\n32460 90230\n6121 14567\n44265 94295\n68666 79090\n1992 85632\n44629 84513\n33587 35338\n26300 62809\n64920 99709\n24997 46818\n68101 97776\n35188 41446\n10681 24643\n1372 28716\n32023 93742\n34291 85747\n8447 19780\n7030 18407\n28569 95051\n41615 94033\n41294 86462\n79532 80252\n42089 51648\n45941 55074\n34763 69137\n20375 51788\n66276 83289\n87461 98044\n30599 59271\n8476 82745\n173 10687\n60460 68363\n2104 7413\n2211 10436\n5967 47094\n91263 94016\n12571 46220\n29124 96227\n7365 51540\n17211 23059\n49514 73556\n62881 76466\n18151 66174\n61845 84784\n7843 25422\n47760 50177\n28469 39430\n75851 89188\n90491 91156\n36431 47067\n49329 99076\n9517 21873\n40069 97947\n15529 31318\n14515 51902\n24570 76229\n41547 89566\n12506 13885\n65437 77792\n85310 93820\n51909 79665\n24409 83275\n59028 68961\n2682 40702\n49614 62008\n57589 75125\n16604 71229\n285 23683\n52051 95967\n59008 88537\n52174 96923\n42272 61793\n12373 39042\n30202 98772\n66951 86832\n14077 99407\n245 56693\n33756 93913\n11755 90183\n3464 73054\n56997 60203\n15429 72002\n15538 34464\n25957 46954\n36802 93351\n6348 34953\n56917 92256\n57160 67816\n60443 70339\n52361 96477\n9090 52444\n21492 36544\n1440 32876\n33709 89888\n74733 94727\n37712 84325\n40811 82596\n26267 42205\n31276 92877\n23110 88826\n20098 36467\n8603 59954\n19467 42425\n17530 66684\n52986 92500\n7696 36789\n42248 84483\n4213 53072\n56359 68200\n57954 83263\n16282 88211\n45496 77084\n82910 92235\n78753 96699\n85253 97287\n49226 75440\n20176 79121\n18906 41920\n29835 36293\n2830 76612\n50568 94257\n24180 84382\n29473 31754\n45216 76566\n5756 30989\n62866 88289\n1219 4915\n18563 93956\n45367 47960\n54968 72282\n12352 33431\n33020 64403\n22805 82305\n2725 60303\n31549 92400\n1915 16610\n18757 42571\n39295 64236\n26223 51209\n26773 28990\n45940 95917\n79574 92582\n64727 80862\n70719 79109\n71617 82197\n3228 25933\n78469 92557\n2355 34746\n7475 59647\n11541 14979\n40076 49517\n56743 64552\n63568 93349\n4389 61356\n47502 71786\n68982 72511\n13271 60859\n23374 54814\n74481 90345\n61701 70543\n55871 78572\n42864 94957\n23506 93465\n18640 47355\n1224 86003\n9390 59665\n29963 35389\n2331 80595\n87782 97544\n15095 98210\n6050 26388\n12354 39761\n10639 28774\n53755 75844\n6074 63724\n17987 23427\n28848 54861\n4020 58015\n65580 83802\n51770 87078\n80906 85500\n8477 57734\n51088 87756\n70668 79853\n35823 97382\n56278 70667\n34734 87246\n53330 78815\n66440 81285\n18424 66600\n55363 77551\n13799 34311\n75546 79722\n62317 71072\n68643 78340\n57857 74497\n54098 74176\n10568 27375\n4750 64128\n6582 65849\n16431 54606\n80392 82812\n13859 79384\n6597 38558\n46889 52921\n32355 40901\n12323 72732\n27477 83598\n76096 98761\n41724 89619\n69975 78900\n21741 31891\n25866 74926\n69539 96614\n5013 56976\n9433 37992\n33728 49113\n13177 31810\n27959 48013\n13788 57235\n15973 30516\n43851 91102\n41310 49793\n6660 95700\n16729 88754\n8035 31814\n14654 97568\n53293 69947\n3120 19387\n80198 81969\n30230 50371\n58996 78407\n7439 11525\n21970 31908\n26382 59743\n3079 80000\n23873 83981\n68129 78228\n49311 67573\n17659 18669\n28828 55333\n7160 37163\n30477 69803\n35215 56205\n21364 24545\n2697 60117\n55122 74704\n58366 81203\n1449 21876\n76575 90738\n43740 60471\n80672 95686\n7855 73825\n14592 95416\n1795 84859\n12560 12597\n56218 94028\n6755 40190\n2829 73633\n8367 13434\n48414 98027\n8313 48034\n66837 88351\n43630 53312\n21985 90212\n8777 81296\n757 56201\n12289 46242\n81593 99183\n50734 51183\n60717 79175\n23709 58896\n45557 45934\n13822 43254\n56739 84572\n2494 23400\n56365 63234\n4744 84798\n51731 60628\n1916 36547\n1112 80867\n4128 7156\n59311 89810\n27544 82956\n42145 47602\n3393 56016\n40580 41047\n35703 96575\n20373 86831\n39385 44130\n26804 72661\n60484 89431\n26984 33825\n68631 75841\n62954 69841\n14125 26195\n59094 90352\n29627 76617\n70394 96159\n34816 38220\n55743 67885\n7556 87875\n84072 85101\n7405 35963\n45404 97070\n56163 68537\n61503 70702\n28420 42197\n7766 45746\n9639 97242\n78427 90228\n8071 24135\n51780 60842\n57735 75000\n63743 76298\n22118 67760\n48987 58509\n26622 83802\n1673 74253\n732 50058\n23932 63352\n10804 50035\n3041 15884\n1978 66390\n15165 34948\n34752 49412\n21131 24082\n9805 18526\n16518 36473\n28669 64597\n48092 57697\n8763 37079\n50151 92052\n10850 86333\n36881 63813\n59576 86589\n42578 61475\n38511 70430\n40346 43230\n27084 52954\n62210 81305\n9355 65875\n1144 74017\n1686 56364\n24176 51243\n5891 21723\n5341 7742\n32710 33037\n9077 80044\n4662 15438\n52573 83333\n35794 40694\n72246 94913\n56938 79174\n18565 44041\n74152 96868\n55615 59801\n19907 34807\n71383 71581\n66766 82649\n23335 99486\n3443 91071\n45697 66492\n13401 59044\n66365 87339\n45042 94120\n5882 63314\n22624 89909\n38581 50149\n14848 73152\n2838 97361\n65248 73401\n31977 82233\n10819 27262\n69673 70483\n63687 78042\n25518 47292\n9566 32296\n1250 77520\n79772 82201\n74090 82977\n35150 92163\n41371 50750\n30823 41085\n43866 53390\n65285 87661\n22174 93593\n75928 86918\n1457 19116\n13603 17093\n30530 94755\n604 94909\n23545 59737\n73579 85140\n4760 25151\n75127 90362\n69467 99699\n9403 76107\n20582 91719\n23075 56588\n17202 94826\n27229 93248\n34998 43869\n78743 89162\n66540 93713\n73221 99983\n79435 92272\n3237 95669\n52944 96479\n3031 47035\n66243 89057\n8389 82175\n43949 69523\n1111 6030\n50592 58790\n49061 70929\n25249 50001\n5337 76321\n9135 14758\n24390 74516\n60129 72306\n30827 88603\n47389 57843\n31264 57315\n80765 99257\n67072 81898\n6335 65349\n12279 43858\n19326 79734\n84712 92444\n1021 23127\n8493 63707\n58367 73709\n19304 41394\n7946 93246\n45074 63529\n51414 59545\n19136 51693\n15027 65187\n4958 62752\n10902 43533\n46183 73585\n31947 92892\n13621 98536\n18540 90618\n41001 52036\n24589 68146\n13427 83403\n90433 99458\n26892 79226\n29700 98499\n13236 58713\n2745 38265\n50114 91308\n57154 69945\n79978 92158\n55250 66051\n33781 34381\n24273 61019\n20558 45227\n19799 70410\n47971 55748\n18450 72599\n34290 64295\n9082 45352\n22890 41227\n23030 87591\n29183 53356\n30815 36258\n4861 61442\n2474 8091\n49840 90756\n2953 41564\n32741 38750\n11535 68737\n2203 20965\n56344 62564\n5633 38550\n14075 87801\n31655 48226\n51204 83957\n28716 40613\n28993 98727\n24161 33135\n36248 90647\n44659 95030\n19650 82734\n4577 54387\n88925 99830\n16413 63581\n54896 68754\n5307 58343\n75384 92900\n25505 98225\n5745 15756\n60901 81604\n41368 75428\n36848 61315\n51262 89285\n27217 51814\n23651 25490\n18467 68040\n4041 23478\n81462 99669\n15060 37044\n10793 15522\n38593 61643\n9144 68726\n30900 85213\n48408 76435\n77775 87323\n24956 54464\n15596 50923\n55525 65952\n55691 56278\n16989 25981\n56062 74652\n9418 21651\n48487 48714\n12089 71293\n52072 52917\n83928 96500\n16478 42415\n21531 89478\n5962 7402\n19986 22802\n44516 87044\n53953 95659\n20733 30127\n31540 75896\n1141 24876\n88166 94429\n54218 85440\n57198 99958\n11278 16640\n15813 72740\n25225 59732\n10520 69742\n44148 67715\n8920 26613\n9459 28823\n55157 69561\n19114 92235\n70448 91656\n64098 84249\n61372 90332\n8853 10972\n6002 26404\n36289 64205\n4022 63295\n5312 62913\n5921 42346\n28095 77955\n65633 68045\n45354 47139\n5684 89627\n11030 90958\n27196 48391\n70531 70660\n22208 33994\n8587 78080\n13378 74084\n76710 93932\n1930 87970\n63184 64623\n1489 60786\n36835 46865\n26863 84421\n21022 51225\n32874 58852\n70466 85274\n42123 65204\n36085 91758\n12862 44032\n16303 46125\n66230 97440\n61635 75429\n2048 21025\n99254 99451\n21021 57386\n14985 40055\n92806 96931\n8900 38846\n70139 80960\n52378 78713\n31887 40039\n8221 56606\n51030 72682\n610 23896\n6751 84240\n15115 15976\n33374 54430\n40772 90137\n52975 93566\n18368 34956\n8334 50613\n71400 93629\n63639 96275\n97314 99351\n29438 91337\n50614 51587\n20907 76998\n54424 59250\n36065 97033\n37749 73083\n1172 25419\n41708 62082\n22276 55246\n11912 99599\n8837 42983\n92577 96661\n18801 21355\n20051 93086\n10991 60956\n54308 63164\n49566 92177\n14031 67959\n51453 74866\n56779 66401\n56434 68828\n62182 73873\n31623 57333\n29562 99783\n56285 69730\n46881 74727\n54907 67317\n46122 96915\n29558 48338\n24106 43655\n51638 80780\n35503 40654\n466 82807\n11396 41285\n44093 73083\n80619 83813\n12480 76452\n19893 85422\n1606 97729\n69839 93355\n22379 83953\n26427 75681\n16583 17423\n18474 79931\n21658 42123\n28807 37820\n56501 95491\n5744 66506\n18679 31620\n16023 37588\n31011 52806\n39332 60035\n33638 93674\n48251 54700\n42125 42991\n62335 94162\n36560 55231\n85802 98032\n27560 82591\n11934 41009\n56058 86562\n962 97507\n44754 56990\n46956 98104\n56667 62255\n24938 49452\n740 28167\n19757 88463\n42553 93054\n32728 70028\n13615 85716\n63012 74446\n74687 88899\n54737 84293\n36740 84109\n38823 76179\n1940 88536\n11234 57779\n77623 95577\n71255 93004\n69199 85651\n28397 66084\n53907 62596\n51956 77639\n37118 79471\n30657 76867\n32374 32708\n33026 74987\n36060 54878\n54583 71912\n73934 75040\n80255 96594\n73133 89929\n34588 35335\n22825 85032\n3771 69385\n50678 68960\n3388 49559\n22413 22485\n56409 70182\n11030 12061\n14053 85825\n46459 59483\n38056 62411\n53263 59094\n82305 92583\n6584 72920\n25648 62603\n63577 85488\n70843 76395\n76003 88111\n68851 83986\n3949 13658\n3621 66455\n36429 83166\n38670 46103\n13850 71791\n13572 70739\n8645 89386\n14935 94183\n10396 64663\n77183 91062\n5033 55795\n90310 90417\n32859 57239\n7616 71585\n85539 95868\n31073 54075\n89577 97598\n24279 35966\n38485 72086\n34183 38537\n3057 6871\n1407 76980\n83358 89701\n3254 75502\n22451 99805\n14312 27339\n2927 85640\n8494 48085\n39246 82387\n33346 72957\n11616 35390\n39614 73545\n15612 43905\n1892 58921\n1552 24008\n14844 53598\n48339 63610\n27820 87506\n45465 46252\n7778 96686\n8609 78052\n33251 88540\n32693 95460\n70536 79178\n67843 81786\n22228 38710\n6990 53168\n51381 93818\n53045 88054\n39895 97169\n16353 81043\n23674 41075\n23713 95180\n40933 78291\n19244 45279\n92463 96877\n51355 78902\n15722 17595\n48813 59397\n23850 51051\n71533 88032\n53375 57363\n9313 35750\n1594 11029\n43435 76492\n36101 53233\n54040 90764\n63042 82856\n34974 53930\n27058 47950\n64428 94781\n35128 72125\n6185 82903\n58694 99311\n40856 75192\n21128 50355\n46544 87575\n34058 35291\n31139 36086\n33764 86279\n67367 68304\n35424 93828\n3836 80333\n2176 21293\n915 33619\n35313 67394\n21394 40600\n11529 56754\n36370 54992\n80637 98356\n6045 25074\n79361 79766\n26913 92935\n8889 19533\n20460 23832\n33079 91198\n61065 81265\n63556 86383\n88441 93070\n32979 56409\n24057 65492\n7786 13349\n80808 95250\n38311 56970\n38233 44073\n35361 72462\n12943 38657\n71493 78936\n15296 73808\n38668 58103\n22619 69405\n2403 62119\n93755 94421\n58375 99171\n28642 58998\n36517 58061\n21478 28105\n53950 97720\n95572 98437\n1793 22093\n54114 91138\n35544 73850\n23248 98336\n42724 48922\n25204 36214\n74206 76036\n22027 89477\n31774 99059\n20132 61739\n48049 77869\n45657 90688\n10019 77870\n42238 95540\n80790 99529\n18293 89735\n53134 90089\n1711 61297\n69860 95825\n28479 74370\n50833 84016\n58909 84019\n17981 70794\n92871 96735\n6028 15197\n28506 98331\n15020 38847\n80100 95652\n5600 18175\n45308 47103\n89803 93868\n54024 91691\n6508 38523\n95979 96163\n181 14583\n13111 80681\n31295 59416\n56438 98651\n78561 94990\n4461 41933\n26045 69704\n6374 42400\n67865 98880\n608 87011\n25372 92442\n11259 35344\n33201 54029\n43271 48031\n19435 28634\n22586 52615\n71604 84660\n20033 47188\n65595 76384\n16831 47267\n42343 53905\n2048 69343\n52312 57355\n27477 46501\n6215 79963\n25874 29886\n49333 81351\n28879 55042\n41070 97215\n15499 94104\n13207 35994\n31113 98983\n10465 75479\n4783 11610\n59133 67037\n9236 92461\n44959 52751\n77062 95595\n21157 58268\n72405 74022\n9335 14104\n1639 42531\n4890 23837\n25514 99570\n27237 94047\n42797 84655\n87835 94155\n3955 57189\n37584 70326\n11442 23551\n19652 22491\n84188 90340\n47114 81814\n15503 82934\n34699 66037\n47927 48211\n5783 89619\n2872 80129\n3652 30180\n57749 59471\n34820 46927\n55630 97235\n25284 89500\n81073 91579\n46816 47518\n26879 85704\n28977 77143\n23950 30730\n81128 96813\n6591 98600\n56149 83733\n13899 91138\n62353 67085\n32311 75174\n50976 75359\n74765 94438\n51621 74000\n45385 48496\n25528 49184\n5089 41194\n27901 35562\n43780 58240\n36776 86873\n44772 63748\n16206 34929\n47880 99468\n42719 96212\n5813 84279\n17619 86198\n33264 94623\n35464 48898\n17242 37142\n1913 41474\n6683 37224\n80127 96983\n18241 40847\n20372 73243\n38212 58096\n73178 81621\n1604 8693\n44674 62558\n73761 96691\n6889 74265\n6264 65062\n48508 75202\n25500 69398\n28843 76723\n57462 63388\n55608 76542\n59917 83265\n42604 93701\n71608 98032\n27534 54055\n12861 75658\n41102 70815\n81356 94669\n4845 63948\n31330 74250\n57093 76411\n40920 65079\n28143 32333\n30071 79052\n4109 9180\n77969 89345\n80129 87766\n77839 98035\n63059 98788\n10591 41787\n43414 45844\n53994 79295\n12200 38933\n5055 10550\n30635 31666\n14049 65706\n89221 98393\n49028 54378\n10738 27193\n48606 61302\n5379 85129\n49585 83348\n24197 87136\n567 6877\n607 60377\n35938 78844\n27195 89642\n5673 93855\n58634 87796\n75534 92604\n73153 73597\n6302 43550\n11363 95797\n39040 97206\n6441 61724\n20403 61521\n51792 69221\n82600 92469\n14947 64087\n82867 91454\n18154 89912\n13511 53739\n45894 92160\n64251 77325\n31490 90193\n62196 91472\n16136 34687\n72471 77297\n32043 54065\n1067 71750\n48520 67817\n24982 45946\n53732 75001\n77448 99900\n11186 49228\n58321 60653\n21702 36749\n5001 46793\n39311 79666\n59486 77909\n20141 81533\n13493 29746\n29284 94362\n6266 85825\n28738 70037\n27918 76646\n78135 82075\n63340 84023\n38803 41643\n8866 56797\n22851 96925\n49258 66642\n59759 76194\n10695 18969\n55560 61282\n35476 86156\n29673 77750\n25112 25973\n69122 79947\n41737 80915\n27415 37745\n70140 72248\n24109 44307\n79199 79901\n48297 75278\n2091 98469\n2965 44875\n24993 97662\n60094 99826\n25240 71791\n44856 80275\n9600 52686\n36848 55314\n38167 92055\n9496 80547\n12258 83478\n24255 32682\n16767 77646\n20184 81278\n4345 22385\n38589 89418\n44352 57653\n14133 91855\n15359 34300\n38898 67108\n30462 97172\n92130 97211\n72610 85152\n4427 29310\n66099 81861\n3972 37775\n42473 72133\n7898 23876\n70194 98555\n31310 79023\n7834 43678\n45211 84806\n1943 26477\n20025 56807\n19022 45667\n50842 67027\n37027 82026\n7581 26127\n7990 79231\n42714 64798\n39482 71311\n30737 95559\n86593 88355\n41640 58024\n48775 70384\n7147 59243\n52661 65597\n72637 91999\n25672 89985\n15808 34456\n40926 85538\n2529 19331\n30 77662\n20488 49273\n7406 19657\n29571 92417\n6002 50092\n73975 95665\n1382 21873\n17776 63215\n60100 83167\n3353 35903\n58559 90239\n31710 53264\n32234 40433\n42277 42725\n24483 90593\n31426 96449\n35623 93374\n24833 41692\n1752 69442\n10661 67746\n81920 89667\n17895 26854\n51423 80364\n19134 55247\n7497 88381\n12530 13412\n78779 86189\n58499 98462\n16109 70375\n4280 23966\n70363 85328\n62712 74384\n2664 22862\n42252 77914\n46376 46452\n65370 93745\n13397 45113\n67400 80799\n6528 24291\n4504 19819\n62240 72874\n44375 50796\n77915 85539\n61484 74270\n60971 77730\n59982 98856\n21913 65917\n14718 46697\n81891 83005\n17786 51872\n20549 85283\n15525 61761\n58285 77231\n94245 95143\n18471 48890\n20490 62392\n26943 89957\n48203 70367\n29620 74333\n15531 32077\n30083 57421\n54149 97570\n40799 85461\n26323 82157\n50925 88387\n50335 89979\n6854 57288\n10248 85730\n5069 58397\n4234 26212\n3460 56033\n21340 80930\n73053 96443\n10216 76508\n3270 87518\n42167 43326\n66317 70509\n26563 62527\n1080 67316\n9860 47224\n29441 96253\n21153 23180\n60841 87148\n23855 77365\n98 81261\n20705 40619\n19190 87707\n5828 91375\n1387 74374\n64871 87636\n22873 84065\n16247 98077\n8141 88461\n40008 74018\n45325 73653\n33112 90496\n64701 86983\n44786 96800\n45055 86146\n4285 59942\n7357 25915\n12924 55911\n76839 87237\n7250 48486\n2022 49079\n16630 42111\n61008 65209\n58296 65934\n54373 85156\n44308 74847\n1761 58541\n5462 94978\n14628 35293\n9625 51078\n34052 91020\n14210 95603\n12231 58530\n63373 85721\n26198 85880\n36748 51257\n55534 94525\n19144 57873\n6279 91660\n3100 11871\n2169 82051\n44040 57902\n46840 96771\n61215 83025\n18631 37196\n70223 99014\n12643 30170\n27598 55392\n41119 49383\n45799 54607\n31806 89124\n17846 78545\n29271 67779\n680 24171\n36466 45959\n48031 48922\n16116 62204\n41181 45688\n37227 55235\n19135 24261\n76397 76474\n12187 55939\n8887 16218\n8759 50985\n17852 48952\n91660 92961\n11437 88831\n8516 77069\n21275 91092\n56748 61128\n45893 79756\n18803 55766\n13441 85411\n73211 90545\n85328 98737\n46622 54047\n2143 45745\n56548 61625\n41607 80607\n40888 73003\n11723 19646\n1224 18525\n6510 37861\n11750 77847\n28501 37853\n5754 47270\n51108 78920\n5259 93854\n75061 92202\n46361 94612\n21281 42182\n21053 71236\n22605 62461\n41669 98333\n5213 47760\n25370 92957\n25352 55127\n27201 88986\n59192 82933\n11936 87879\n22174 47526\n12682 94799\n61228 80322\n77027 86917\n77255 91558\n31976 46663\n25991 85621\n19438 31306\n3806 76136\n36183 56303\n68005 84406\n40542 50806\n38871 44042\n29796 32006\n25664 49692\n33738 51783\n1895 72773\n43691 55312\n5940 74496\n73767 95408\n81719 98024\n81586 85321\n53579 55789\n39249 89849\n5484 71232\n22466 98125\n61210 75696\n40471 76872\n834 20678\n23230 84995\n50247 54539\n10035 77448\n24272 89694\n87374 93822\n8834 46872\n18531 22881\n18936 33943\n2950 31639\n8462 87701\n11533 20222\n15104 97118\n45980 72961\n13398 71106\n37193 47410\n74712 87997\n12078 46703\n34923 70890\n28090 90569\n55685 96178\n23697 86382\n70208 82699\n57700 99849\n762 18561\n40816 63184\n42615 49739\n30645 69002\n48270 79834\n4218 97823\n39318 45133\n38406 60331\n42288 60016\n17477 30325\n22205 65324\n25812 33083\n50213 59472\n26205 81363\n56327 98602\n2791 56412\n61221 72674\n24994 98737\n5697 73312\n26198 38058\n4992 47987\n5881 73839\n11155 33286\n34629 49124\n53879 54703\n1102 7422\n93 75381\n37526 97053\n36882 39645\n34354 98523\n49444 54912\n57198 83346\n73405 90529\n29353 34459\n76415 90927\n29513 31614\n2603 16495\n70957 99108\n35630 83050\n15666 30644\n48108 76927\n36296 88234\n46871 74421\n14097 14207\n12093 51640\n29111 98330\n24712 47826\n47626 78637\n40736 85666\n34347 50524\n17765 51663\n4279 34075\n8928 85104\n24448 83518\n6660 85366\n93996 95979\n48665 98379\n50340 76624\n10669 83408\n23887 34907\n26366 64247\n7110 70115\n27627 75628\n67156 97565\n20688 99905\n43424 90748\n80032 90795\n82005 84810\n4715 78846\n47300 99848\n49820 49981\n28118 79820\n11949 64928\n6977 61167\n36513 69429\n5240 39959\n9806 58271\n30698 67018\n1090 98344\n56091 61284\n15119 87836\n10124 62585\n9641 38399\n25305 42695\n39402 59664\n27167 98440\n18240 34261\n26781 78021\n39391 92011\n18406 92435\n30925 99890\n39009 65494\n21490 28921\n36487 50925\n23226 33075\n28971 57418\n16945 87959\n15154 49469\n5694 82504\n28583 44734\n47505 47914\n46912 70690\n28070 39729\n71081 80462\n64836 79083\n46489 78654\n56563 96592\n15305 66977\n21269 95163\n45843 46109\n19881 44209\n25006 88230\n1066 77693\n30580 50367\n1028 36566\n27320 33524\n69096 97000\n87373 94706\n1077 61373\n46863 55884\n11893 83071\n60281 60601\n32209 72460\n35332 64710\n42528 66926\n25588 70545\n60812 90905\n67027 81386\n83336 85539\n36192 52408\n8788 45056\n45960 85547\n10256 30618\n47063 98993\n97297 98711\n57624 65237\n4175 30851\n9653 37761\n17451 41043\n69839 84793\n34937 59555\n22016 97267\n13370 55335\n76150 96835\n26469 49041\n20380 88924\n25786 27674\n42195 99053\n32415 87321\n3471 45310\n20959 62082\n45151 74935\n20684 85787\n15190 88507\n7083 40546\n3744 42024\n35704 35751\n25957 42350\n12694 97686\n61884 69486\n65858 78823\n33317 33402\n16715 17363\n10397 87300\n1928 73558\n39656 44921\n52727 71056\n44815 88075\n56760 75129\n44469 75885\n52536 84410\n64215 85274\n41779 64042\n41364 92415\n10877 73760\n7986 8541\n736 44831\n16281 54981\n23661 26395\n30498 42653\n53805 56432\n87796 93462\n9951 14674\n37233 43858\n87371 89665\n13594 68144\n19298 30033\n13586 35011\n82241 86489\n90188 99939\n13822 42818\n39751 79526\n43122 44490\n41489 87601\n12306 22387\n64904 81471\n10451 14138\n18320 84701\n3714 80765\n44570 65793\n7747 52537\n10686 78474\n27843 75656\n23407 95084\n3056 8504\n19293 93838\n56861 75850\n61497 76741\n60519 96418\n17609 87534\n29363 84351\n20321 90645\n36024 98314\n27462 37271\n12535 84790\n19175 46851\n52400 74150\n57829 95284\n23870 85027\n62953 70602\n49788 85196\n13504 77436\n44860 80812\n6057 87383\n3736 65771\n51847 94627\n34959 55354\n46681 71444\n7332 85806\n10554 72773\n58761 65868\n22287 73239\n27153 74090\n66078 71772\n9009 92848\n66162 81786\n32043 48760\n10740 90838\n10906 21924\n6129 98535\n35580 57244\n61904 76646\n2618 17071\n20807 39416\n82926 95156\n13512 57023\n31991 98460\n45358 79139\n4649 10426\n45802 85551\n12167 74772\n14499 51771\n14417 53631\n61480 87143\n45123 54585\n75874 75886\n449 72953\n80408 88385\n42493 91315\n64379 85075\n8506 58006\n22161 29328\n9838 26843\n17254 24702\n2594 49363\n29230 57940\n70928 93388\n32650 84567\n12936 93561\n8213 68821\n32700 42566\n45442 65845\n46572 98417\n58849 74416\n14825 77638\n68302 92576\n51345 69541\n55044 96507\n19373 58945\n42043 92641\n30595 68553\n16692 70626\n40192 95547\n15922 74220\n7696 94574\n39865 60211\n45080 86501\n10442 92183\n23778 39496\n37378 42236\n5873 60476\n16793 64190\n8477 48345\n13369 51081\n32654 76457\n24724 48693\n93313 99672\n50808 58262\n38545 53964\n13897 67353\n72339 90034\n93475 98893\n37787 57109\n74090 92104\n37289 47566\n2926 99141\n9174 84501\n5601 70283\n51123 55019\n7391 57809\n58162 96878\n26975 99152\n47923 65687\n19789 61056\n5015 98820\n1610 32008\n33057 54889\n22144 41756\n12784 52349\n31345 87414\n40762 52894\n3756 31029\n397 60750\n44315 83700\n45399 84135\n57483 79750\n6619 16875\n21350 31084\n2923 69429\n7299 54287\n63986 76170\n88557 89429\n34168 98505\n37128 78097\n56426 61406\n23001 87497\n28245 79150\n61696 91510\n19420 27765\n5314 96236\n50661 92059\n17705 77447\n55565 87826\n38428 63307\n58964 64465\n65229 90041\n17864 88078\n11292 58813\n42138 50579\n39703 60559\n31261 77468\n18882 36435\n43242 84982\n14828 58098\n20598 40627\n50576 57285\n12378 13908\n43053 51516\n2019 87082\n37668 97454\n54656 80742\n55794 72758\n71660 98821\n56267 80853\n51581 83752\n72475 83965\n34696 59872\n2079 44203\n10740 75035\n70732 76476\n65133 76246\n24430 59415\n2229 81931\n45230 55582\n29241 68446\n50097 63695\n80246 96978\n34781 92861\n29358 45430\n31433 79821\n29310 32913\n17415 53364\n4836 73473\n17153 64983\n14867 28876\n34186 78162\n23592 41351\n93934 94295\n3110 3803\n58461 79092\n29069 58701\n18447 88088\n26943 35649\n8271 44130\n36152 51292\n49817 75146\n8335 16323\n10834 59537\n74114 85094\n50399 63451\n74777 95398\n67628 83538\n51013 68131\n8938 88546\n32595 35650\n12169 33826\n81367 99768\n29084 35712\n69289 99379\n6276 82082\n51289 56926\n42291 86009\n12394 93789\n6725 60838\n8047 48570\n5753 45639\n27005 29489\n21448 75469\n39499 99718\n30136 32526\n75484 82078\n72948 74894\n42599 59192\n53165 78185\n6595 29953\n39199 79338\n6468 40957\n48497 57740\n11176 92931\n64712 95148\n16818 48820\n37247 91609\n79333 87075\n2803 43420\n16704 33529\n58845 68487\n38705 49387\n2524 41649\n51999 73647\n9060 72199\n29288 95227\n25439 34666\n24252 73067\n823 73851\n21674 91295\n16136 97564\n3224 50362\n48266 56667\n13427 47552\n73354 88763\n28753 56665\n34229 64140\n37814 99373\n20156 71970\n48510 98028\n18315 96019\n25071 70989\n75956 87146\n69087 85551\n58180 83976\n44071 85396\n67679 98190\n59896 93345\n15008 20789\n8427 64549\n79340 92416\n66525 89132\n23860 80540\n74218 92107\n3565 14643\n43226 51549\n60667 95486\n26631 86042\n26222 32771\n4863 48118\n40425 49018\n13187 64183\n37419 44046\n836 84085\n69319 71635\n10983 57962\n21314 73742\n54502 70404\n82917 83423\n21164 39968\n8051 31079\n21208 99488\n49916 77797\n57579 67990\n7588 72100\n59685 97282\n78741 84999\n10537 39968\n7431 27831\n9930 38061\n64095 78459\n9484 16114\n34431 59011\n21695 22187\n64833 95228\n29246 50811\n47993 97532\n20913 90065\n69841 99245\n27867 31361\n24917 79362\n8070 72987\n2745 13114\n77618 82877\n5315 62141\n7860 17027\n2731 30731\n29121 70857\n36733 90095\n30496 40678\n23841 46113\n50139 74681\n3164 46751\n24765 97733\n45564 91177\n5016 14816\n7650 60957\n70554 83865\n33951 62522\n28211 38303\n28872 40009\n18191 75471\n3172 82659\n4791 20097\n51046 64997\n38754 41997\n76242 96548\n7859 88804\n49316 67696\n51482 84995\n1904 54091\n22071 82063\n2339 92734\n54926 75235\n32346 44765\n59181 79239\n16268 21260\n6564 93986\n65401 91768\n30794 32577\n22044 66354\n47395 80072\n68531 71381\n60762 63472\n20229 84168\n35653 61486\n53722 84365\n36168 56025\n20228 51464\n29954 31337\n64687 94572\n39043 90204\n60496 65352\n43776 71735\n394 78144\n3675 30021\n3688 92525\n53160 72539\n53380 89455\n30555 63919\n520 8418\n40810 58311\n35090 66222\n15840 81088\n71708 74375\n33281 99111\n10867 74229\n306 70786\n46685 97733\n66113 90582\n23567 33712\n19701 88025\n15063 90464\n3922 43291\n34937 57376\n41258 46844\n85402 89673\n22934 83224\n21348 25804\n13196 70856\n48644 99021\n797 21152\n15443 22563\n9032 48390\n41986 60029\n61557 70108\n53641 90561\n23352 78568\n49873 61118\n15106 55415\n41568 85532\n16056 88438\n42042 62504\n50876 55760\n82882 87199\n29181 97516\n40677 55027\n19420 63437\n87446 94162\n40449 58730\n35779 99969\n4240 31028\n2821 88970\n17595 33327\n21217 80688\n2469 91507\n33479 77557\n5657 5732\n82190 92883\n21196 62038\n20844 23369\n47613 68306\n43689 55119\n9490 63897\n12121 90714\n70750 94202\n17154 50052\n55541 62518\n566 8258\n45106 79167\n62487 79278\n277 57063\n41967 46620\n25248 96727\n61000 90784\n6892 73678\n59529 66996\n20887 84563\n72348 95997\n12977 50938\n9126 27500\n20448 75228\n71645 88421\n37424 58374\n32909 86989\n14011 83646\n33776 57135\n17002 78953\n3254 66884\n6089 84071\n14350 77980\n91763 96440\n76455 97309\n8776 71537\n42984 72957\n18252 86224\n64376 67959\n39069 56557\n24245 73524\n13380 97231\n3553 98228\n29800 60139\n30757 90980\n53517 66755\n7609 26722\n22471 71401\n49527 82937\n39385 63683\n22409 41670\n76110 96185\n43941 74428\n18346 98843\n16878 89692\n6026 61672\n19547 83330\n2617 35163\n31682 79546\n90596 96590\n29618 84791\n3334 22463\n13738 69203\n1851 10338\n83575 89725\n25670 36292\n5968 57220\n39546 62166\n22471 39926\n80904 84474\n40452 75206\n11480 60704\n21385 66938\n13466 69533\n16009 41928\n4278 84901\n11344 22081\n63010 79891\n79669 93411\n21508 64568\n47496 68183\n4677 20371\n67720 83259\n40276 81553\n24502 87398\n35338 52097\n49888 93607\n4354 56017\n23174 36329\n28871 34654\n92955 96021\n33969 40350\n73042 94883\n30164 40435\n39466 59044\n67734 80962\n64072 69251\n17346 56467\n34876 67839\n30558 73593\n34244 99771\n8383 70008\n61396 76641\n59 11587\n14406 31362\n63577 78698\n26925 54677\n6422 50207\n43674 77428\n6415 33928\n2241 83775\n27900 50933\n17852 74070\n14059 71708\n80481 93759\n7136 60740\n16364 79984\n65764 80053\n7414 83795\n70691 75605\n48732 77821\n76499 97140\n42316 91857\n32468 87298\n61247 78920\n11783 40751\n585 25259\n86757 98703\n71289 95160\n65850 68460\n23368 95368\n2133 27101\n48702 71515\n14497 68488\n2509 37753\n25926 53204\n1359 80466\n22385 47132\n42302 58758\n29414 41575\n869 26746\n19830 60948\n16133 69974\n45167 47367\n31004 71353\n686 86476\n42538 92296\n63031 98917\n69468 87085\n98260 99592\n35492 45279\n42175 84255\n18097 32320\n439 84924\n7357 30736\n39388 40299\n3579 87515\n13772 41152\n20269 53442\n34827 64630\n32105 72017\n54668 78978\n69840 76270\n1590 8185\n24528 42933\n86271 96116\n32722 85203\n11680 83590\n11853 64781\n67434 74741\n726 91620\n53590 76975\n31006 43288\n26208 95507\n9312 48194\n57952 84893\n45703 86886\n34544 80679\n12661 58547\n221 95497\n80928 98331\n5057 77350\n37669 41602\n7661 38698\n11879 49535\n31014 65650\n48238 91964\n31871 66369\n39604 43211\n72046 75983\n6853 31971\n31153 45367\n78268 78536\n46050 81585\n441 79327\n66556 88892\n62389 75354\n11046 73466\n526 28496\n86577 88495\n40235 92417\n29817 83570\n21565 75036\n30775 46010\n66697 83774\n1578 16796\n76168 98656\n26215 39879\n59525 76438\n53819 76264\n85391 96151\n37824 39617\n28455 94520\n28750 31446\n10390 16729\n22453 55432\n73188 82134\n12678 89279\n55603 55709\n58552 85261\n38101 81839\n6893 60611\n24790 48282\n36509 54462\n33086 99488\n26353 72198\n587 20706\n44161 54123\n10274 21399\n25612 53287\n37056 74676\n27297 95909\n18857 90366\n28099 60722\n20939 67327\n12105 28760\n30232 94998\n10043 64682\n4816 18746\n5761 92597\n7199 58022\n1549 36670\n44392 92021\n17377 91968\n13283 96583\n66811 95990\n12729 97666\n14668 90417\n23059 47313\n32703 66812\n14437 64614\n81631 86243\n62093 63062\n4438 30437\n23408 74621\n44263 91848\n69646 91373\n7357 92924\n72880 84646\n24534 36089\n63434 89356\n2638 57764\n4005 80383\n4211 11935\n78551 92835\n39065 50941\n73062 74955\n72763 98151\n37542 82715\n111 17118\n57820 63235\n31549 89972\n40453 40713\n614 60971\n28097 89095\n63608 86466\n61078 78644\n13551 71823\n65679 82955\n80584 84866\n45484 56031\n86058 94627\n14852 63872\n39068 57664\n6168 35597\n88977 98628\n65671 75104\n32805 79948\n11208 85588\n31280 52831\n5316 40055\n39891 94062\n17700 53102\n12494 23544\n64301 89632\n20144 92342\n25431 56988\n9110 62544\n79719 84135\n4076 96932\n56276 87084\n133 96120\n22879 38196\n40080 82096\n84919 96986\n10536 96351\n27027 65193\n1670 64492\n13821 76680\n52776 56548\n8752 11582\n6056 60596\n30814 32567\n2287 74660\n38500 78122\n35910 87278\n15829 26182\n9731 95924\n3187 67267\n5140 20795\n4883 13556\n22695 75061\n46807 60336\n41057 41573\n35423 36366\n51484 74529\n83963 94899\n58049 79055\n53305 58916\n65077 77396\n27200 68427\n28079 68536\n88430 91903\n15360 76197\n57288 94035\n6977 38277\n9020 92805\n29126 83541\n22070 42003\n43143 91200\n7520 70936\n7454 83616\n21792 96584\n81792 90677\n55398 73027\n46953 62279\n65242 83762\n5876 63219\n13142 59909\n26399 51895\n46138 96382\n15801 68869\n12523 59463\n39009 58739\n469 78135\n30838 86959\n44558 53990\n84603 87041\n41870 74435\n19252 53609\n44497 57888\n9311 25959\n56573 59644\n47508 99230\n52847 56484\n56152 64676\n5890 12127\n54084 79638\n12413 20471\n6901 80799\n22238 83920\n30967 90679\n36432 75887\n47681 93452\n87619 88506\n44681 46383\n68380 87262\n3430 7932\n65646 76839\n18190 78847\n9514 45163\n10221 36209\n885 56563\n72438 73654\n403 58000\n45756 81437\n32970 54831\n40708 94394\n15152 67182\n47271 71783\n9214 60566\n39316 53406\n6746 54115\n17446 49657\n47763 75099\n619 1817\n1963 24331\n94086 99020\n46931 53773\n31738 60374\n21952 46993\n20291 83352\n28010 99669\n46857 47177\n5367 52028\n23541 50689\n78227 93823\n5181 98338\n15937 91784\n20879 29814\n4904 22511\n32235 81448\n59320 86700\n56560 73625\n43402 84326\n1090 96941\n41435 82649\n52755 78788\n67347 81496\n1356 67361\n35221 71153\n48174 57565\n21088 37857\n19905 29864\n84283 99326\n3688 42295\n22860 75119\n53403 70096\n30822 61681\n38299 46021\n9587 58104\n19453 62415\n66236 70072\n25939 58045\n70324 98280\n69736 91074\n25736 50176\n92770 94148\n67250 87842\n24326 32826\n34427 41462\n32968 72663\n30607 54928\n22384 31003\n15790 50533\n9648 61831\n29701 60737\n20161 96508\n28079 97320\n24451 39114\n43341 78577\n15541 41006\n34784 68110\n60588 63784\n43129 62598\n43334 65199\n42536 58382\n23966 99048\n66337 72290\n54648 99156\n40314 57906\n7926 7946\n601 11706\n39212 95921\n26775 42786\n63616 77747\n25553 40967\n10157 58807\n19748 22604\n7596 80413\n27323 41960\n34906 62207\n2538 14061\n34346 99720\n35143 35553\n27415 63577\n1147 48881\n28348 81781\n54257 95096\n12387 48932\n56092 76552\n59600 88735\n57660 63051\n71055 94943\n27 58359\n19084 36480\n22730 40742\n33343 85333\n64883 81427\n25050 49761\n3174 86486\n57654 82802\n40469 83389\n47238 99015\n9460 14769\n28271 66499\n76405 94688\n56335 77619\n12524 45186\n25452 78407\n1136 25249\n15202 78282\n39167 77762\n28339 46553\n31736 63919\n44668 53784\n71966 98428\n72705 98489\n14724 71937\n76956 79312\n15349 21644\n25305 68676\n43144 80933\n7586 81850\n62125 93751\n41178 79437\n60747 75664\n53442 71238\n6702 97949\n90656 95798\n14662 96017\n7562 11302\n37821 38638\n66905 72964\n11465 81832\n10875 76438\n80262 81923\n8048 39955\n53495 99386\n27657 69324\n86674 92429\n60733 66819\n8196 38365\n1464 58237\n9282 33106\n85104 97740\n44259 84744\n63513 86293\n34219 96128\n40321 94578\n20535 25262\n8859 64449\n19154 59135\n81755 98289\n31682 40626\n75700 97845\n12340 38602\n484 4118\n27232 43082\n11421 46578\n34762 51936\n68657 91250\n1770 51908\n37832 62730\n5921 71300\n39089 97444\n63648 95956\n90200 95438\n32363 76548\n49531 56041\n9116 81158\n17853 53760\n22909 58948\n5507 37305\n4985 69152\n6161 84323\n21578 51995\n71314 78771\n8927 82102\n10162 70241\n68363 85651\n54725 65770\n26201 77065\n43957 69120\n74614 83422\n48020 96555\n34693 82760\n1992 63927\n14358 32498\n3549 86537\n65891 91431\n31573 60016\n4651 97942\n51111 99601\n8458 70461\n32473 63084\n39595 76544\n51252 86044\n45702 57399\n7082 8636\n15999 92802\n10801 35176\n3936 15952\n12775 44085\n30398 60622\n31438 53982\n60958 72316\n17047 71277\n10765 85605\n34647 49892\n32723 36790\n11994 26864\n42896 48873\n62203 93755\n52619 82249\n80581 86659\n47481 96080\n7393 57084\n20332 74654\n16243 33405\n61012 79597\n56478 88246\n31210 32063\n62719 72379\n22736 30021\n5059 25051\n55943 88478\n63050 82076\n57637 89742\n50713 91185\n29012 64330\n6617 31707\n7715 58951\n40014 76150\n26105 36391\n29019 32149\n16002 44690\n10492 97571\n72927 93411\n51998 54669\n27820 33788\n45923 73657\n47979 84455\n33925 80147\n54362 77875\n14864 47877\n43636 79157\n74104 99377\n52013 81665\n39232 67224\n64359 70650\n61894 62271\n29776 70037\n45026 78328\n23715 89455\n21377 40254\n10849 30777\n55390 69611\n28498 44522\n17003 73446\n13345 65238\n64249 82365\n31806 49919\n64110 86631\n7900 57879\n4621 18790\n14324 52218\n9175 40910\n67703 74492\n61570 90487\n50856 68627\n11274 25332\n34377 78168\n7747 34283\n24070 69232\n43756 93397\n6556 80995\n35924 91238\n26660 53754\n17152 61997\n27960 75578\n64186 89210\n2371 82316\n25110 51155\n3810 84838\n43863 88171\n7189 85299\n54923 74631\n10986 64359\n46442 55548\n69037 91103\n39926 41684\n59137 78203\n20256 36566\n80366 88390\n59301 98743\n16117 56814\n24929 48022\n18954 65864\n2163 9494\n63235 74456\n35310 99643\n697 11611\n29345 85563\n40906 56313\n29149 88573\n49954 88016\n15884 68396\n66 26006\n6111 45055\n62824 96373\n13216 42727\n6176 81820\n59071 78260\n6534 18518\n838 14239\n24766 96079\n8375 86911\n5154 93035\n44548 52949\n63853 86019\n61548 94969\n41553 93727\n31529 50684\n50592 98003\n12166 49389\n63186 80206\n9178 32587\n85013 92657\n5615 15913\n76417 94348\n86241 93327\n82959 83244\n61062 83922\n16824 81607\n6193 56702\n14571 64787\n13482 56511\n77836 88365\n39919 62940\n39599 46976\n14535 67551\n49109 55090\n38912 94140\n35482 38256\n31643 69473\n14131 21908\n48116 81960\n37754 79355\n39840 68917\n27700 44264\n33742 96736\n25273 80887\n16315 32563\n21247 79636\n27951 73601\n42095 89165\n43288 95559\n3053 7349\n50585 93224\n78838 97644\n25522 45016\n62724 89975\n60057 74241\n13950 87199\n7114 92711\n26759 82822\n6220 11570\n17248 77822\n78483 94571\n73880 76751\n120 97465\n9512 25606\n48208 83925\n10401 95730\n6635 96318\n34641 83914\n52911 68709\n19180 70950\n47929 63359\n55317 85989\n18166 65075\n58814 97988\n42980 45851\n55466 58378\n57174 70490\n4113 78907\n28197 92890\n35092 97661\n17890 87638\n47034 54475\n77049 93864\n22541 30624\n13672 79271\n26734 82719\n29837 65802\n23125 99792\n12699 67963\n31779 43059\n87502 91898\n22674 51003\n31815 48951\n14221 61365\n59585 84701\n92192 92726\n31016 40217\n27971 67950\n4876 50247\n12093 99548\n13167 96806\n22653 78732\n22564 92719\n28910 40198\n43192 49081\n14414 63786\n10137 57771\n10053 95394\n6957 26746\n64715 77713\n21331 68445\n7213 35525\n24575 64172\n21285 56895\n10189 19549\n56603 68573\n7904 15658\n13307 41679\n33576 68413\n40035 48443\n32368 36988\n16679 84386\n30192 73320\n32291 44947\n43354 83328\n33272 52475\n80147 93089\n3032 45429\n24433 58633\n43972 47946\n47547 54337\n3637 73620\n63863 78592\n20498 78345\n63740 84848\n37507 99570\n65217 96387\n23581 81358\n61202 92175\n52975 87878\n51310 59402\n70842 95898\n51182 68424\n3127 30510\n28976 52943\n82121 98785\n9622 98556\n36405 67280\n17641 88219\n2212 49905\n7951 44488\n46347 65123\n10242 72685\n33258 81955\n39102 81866\n45377 54614\n25825 66719\n12535 29106\n51432 84310\n14830 69630\n12583 28479\n18034 81156\n17882 97681\n51922 73417\n83090 85732\n24894 89477\n22284 66015\n53092 85672\n12494 78148\n78755 92358\n5921 87097\n15469 68097\n41510 54751\n14902 45137\n58801 68526\n6756 88323\n12894 63543\n46922 75540\n58890 73348\n89438 96657\n40284 82855\n30187 73039\n40597 66087\n36478 61040\n27424 77952\n92296 93842\n57851 95352\n36847 54851\n3072 84567\n1124 62600\n74375 81827\n40825 41034\n8402 20180\n13977 64287\n29808 48731\n17479 27303\n11821 24549\n75145 87546\n56873 97572\n60015 84146\n10951 93000\n26162 35279\n63542 64254\n60026 80767\n72430 85453\n55539 69896\n69462 85721\n3318 8317\n136 55012\n4313 66525\n46183 92106\n5133 33640\n63959 71132\n9381 48997\n8768 38292\n39494 88226\n1005 96178\n15267 63438\n2910 30893\n48900 82852\n27395 81206\n34931 53752\n16446 87263\n78332 85272\n72416 75176\n13678 74723\n5568 67300\n45574 76046\n6338 61776\n55917 94011\n17182 31696\n49888 50032\n11695 41583\n33192 66629\n33256 61064\n65415 85621\n7469 99297\n13887 24880\n23121 99124\n93129 99818\n42518 96973\n11014 45355\n89377 92390\n52522 90193\n1939 91122\n76345 97569\n70185 81414\n26198 44403\n49211 93546\n48559 95160\n68028 76220\n22951 30542\n52834 60795\n32514 99063\n31440 94359\n10582 34815\n47534 54773\n53382 85144\n72925 80628\n66235 68094\n14615 78130\n72627 87607\n11878 64464\n10230 13964\n65997 99739\n28866 34655\n37262 82864\n14631 62452\n18908 36659\n41012 45732\n14947 60614\n66670 73296\n6491 40472\n42865 64462\n54946 96917\n52896 81137\n25885 84044\n44125 80197\n13921 71867\n21104 93725\n870 67897\n27937 94296\n17742 66228\n9201 77826\n28839 99057\n74766 78631\n2374 26330\n36742 62240\n1668 59157\n61638 75162\n41337 77418\n33192 91687\n23776 52521\n44974 68992\n77040 84230\n16341 81009\n23333 27266\n58728 97449\n27092 61869\n24980 71479\n52751 56272\n10768 67460\n3883 41439\n15587 32314\n10876 17762\n29111 45988\n29032 72075\n30983 48817\n36421 89807\n17641 74304\n8611 78537\n4890 61026\n55087 64337\n17711 72113\n22061 65225\n4252 18568\n52497 91833\n48144 79324\n78624 81928\n16773 83185\n3854 36346\n6781 84565\n8312 99408\n47461 96939\n57342 68534\n60988 78883\n46775 98948\n75197 75377\n65116 98261\n60788 97376\n8514 88099\n33815 36798\n18903 58256\n26155 26941\n16421 46929\n9126 80239\n64561 76622\n21952 28263\n14018 42683\n42908 61648\n32117 73636\n5690 44248\n84382 92050\n3265 56646\n60149 74752\n40784 49339\n26080 27098\n91116 93044\n49480 78016\n43338 93960\n19102 62018\n10601 39453\n39995 72274\n5804 53529\n25826 42485\n79482 86405\n51259 55539\n21334 32286\n23404 80003\n20671 27886\n24215 65283\n23606 88529\n16084 88808\n34018 62317\n26774 89073\n67252 72599\n13052 94247\n73311 94317\n72292 89025\n65339 76701\n645 18071\n31005 45760\n63254 98490\n75350 83409\n73430 94539\n9333 50990\n8997 82919\n28022 65446\n30554 42664\n39437 56986\n16860 91395\n14068 76383\n90726 91621\n7795 96267\n66271 98621\n21339 94962\n20239 30245\n62872 81192\n68870 76562\n56520 91906\n59369 87936\n5693 57901\n19402 26538\n38824 52004\n31266 39324\n1695 97175\n73251 96256\n6133 33004\n7861 83783\n8830 36302\n13521 85566\n32315 78989\n40871 68466\n9058 55730\n29934 67384\n18849 19202\n5624 67198\n60673 79927\n31860 60733\n5383 78551\n65969 73553\n17409 53265\n22248 45766\n30148 66202\n22683 40984\n19593 33046\n44690 72400\n10052 12605\n267 31014\n32596 56946\n39013 41227\n42267 75883\n16300 78766\n68528 75499\n1534 58681\n32226 33313\n2460 29508\n33470 55385\n24574 51727\n45220 85950\n7638 41023\n84646 85828\n60468 72203\n7029 41718\n60589 77976\n40715 77871\n83635 93987\n89826 99831\n58354 83510\n19559 97513\n26766 40222\n550 46537\n65634 68068\n16105 35858\n52910 86864\n34656 83721\n24582 41129\n42317 58064\n39834 73845\n14321 41643\n46370 96527\n18407 22164\n50544 86777\n83025 98418\n12323 89955\n30865 75248\n59589 62285\n63659 70650\n64333 80214\n19669 40537\n21611 55717\n78920 99705\n9430 54911\n33166 61864\n14629 57659\n24412 78331\n62448 66726\n15939 45189\n13378 41607\n22958 82723\n20136 37466\n19502 92103\n5417 22986\n34959 93961\n53485 75560\n68253 77002\n13557 53471\n62731 92383\n12167 46323\n46204 97208\n7334 88372\n44412 92596\n25754 48259\n2230 41539\n12293 27148\n6084 81400\n60486 72202\n30351 40106\n19047 79476\n81584 84046\n35930 97608\n3293 48764\n438 77188\n26291 44481\n37044 70344\n21449 32484\n9079 25318\n10285 22221\n57078 59571\n42948 72947\n29680 71251\n29120 56160\n18404 85341\n606 52048\n25190 48878\n139 69455\n38697 72315\n66213 78948\n41696 73315\n39964 57035\n31615 76861\n40674 48436\n18214 25464\n2105 77127\n63862 69534\n2744 38908\n32019 58866\n57716 88026\n13661 91154\n30897 79675\n82162 96378\n88716 91089\n1112 48064\n87505 89756\n9517 76263\n58615 75976\n15660 18764\n43012 53726\n37012 68873\n35358 53528\n29521 39022\n54995 89025\n61624 96402\n16432 50543\n19145 56395\n23258 66483\n76672 95447\n13658 73512\n29496 90459\n12416 27228\n60109 78352\n14485 78340\n8126 42892\n96626 97396\n54928 87688\n61227 92824\n23545 90427\n5299 15852\n42944 71954\n28663 87704\n89822 98385\n72017 98077\n18500 65665\n37826 45788\n25257 73066\n2249 6172\n73502 86697\n30960 36461\n7010 47107\n80530 96564\n31464 49250\n12405 22408\n40160 79454\n1232 79403\n42492 43216\n63144 67225\n18566 95540\n8410 93705\n17314 22425\n48672 94646\n2538 37489\n42685 44025\n44481 81010\n70537 75187\n10152 78926\n17842 89486\n24354 88440\n47626 95408\n4118 38623\n41612 99742\n29525 63904\n5605 10133\n24949 80184\n38248 69659\n6282 15451\n59372 65234\n5110 78207\n21642 42799\n27636 34790\n18831 67441\n70359 79642\n31250 92685\n58184 70066\n36408 73360\n49614 60434\n1340 4180\n34824 61909\n2213 76643\n45223 92681\n2552 62046\n33596 48603\n65688 86612\n11327 70915\n84237 97949\n34804 82173\n1297 31788\n25134 76970\n42986 61201\n80288 86479\n24351 45672\n86303 87110\n29821 90090\n24158 69178\n14927 16885\n1785 51953\n37326 81558\n15990 99538\n23533 64213\n2233 14735\n74666 98814\n35910 39468\n20765 75016\n59479 97543\n85081 88636\n41355 61573\n1539 47351\n37115 73447\n20460 79182\n826 34054\n35400 54775\n51840 90142\n5128 89072\n44626 57431\n7846 42786\n19183 37323\n24795 86466\n8648 92221\n27022 43783\n48263 54671\n14577 19536\n38758 41336\n29034 83612\n10579 55481\n6368 79757\n19122 27508\n92834 95965\n10333 26408\n5233 58209\n2676 62470\n15069 31410\n59736 96582\n44882 57137\n6039 61635\n2367 2641\n29981 55079\n11340 12314\n1968 39822\n19255 25544\n1394 20988\n34880 85962\n43195 71602\n7194 19291\n60331 83551\n66891 77371\n1224 81614\n27337 72168\n37478 53040\n8241 18519\n23177 76462\n14045 69161\n335 61144\n14875 22733\n13793 23883\n28964 93360\n31929 72164\n20423 24750\n24604 30799\n21568 82942\n18025 58840\n6751 96295\n24988 27848\n19786 29246\n24545 40334\n68280 92897\n17954 27944\n34337 69193\n42774 86592\n35674 66699\n50598 96497\n33073 86805\n5499 45817\n10412 17482\n8880 80053\n8834 34343\n14103 53673\n12800 44390\n38 64163\n27937 65385\n50910 69464\n39932 74573\n28181 49831\n76688 95018\n5000 64013\n52682 78657\n18643 79521\n14484 65335\n968 66951\n21669 69093\n6749 95974\n79053 87980\n32194 35253\n9297 13308\n63499 90980\n11141 78560\n14114 15283\n16942 79099\n2306 88773\n34255 59904\n62862 63529\n28232 77772\n46418 68878\n5480 95080\n37474 84513\n17903 83400\n20591 88315\n24717 86022\n44587 97571\n367 35196\n16355 99449\n47585 82844\n63935 83620\n16264 77235\n2252 11249\n14891 65923\n1538 62938\n12251 48058\n74644 83258\n49730 58166\n38657 45488\n60391 72856\n16068 85760\n47239 75893\n46380 50951\n12278 53416\n64153 83772\n76840 97476\n59832 80923\n62521 73651\n19744 62902\n31349 64256\n55568 71443\n10168 92951\n18803 82873\n63530 67018\n13351 30672\n64248 96886\n20474 43625\n50892 92504\n30621 81411\n67425 70288\n63701 77987\n85579 86215\n48139 50891\n12659 45511\n19503 45058\n33650 58407\n39717 86720\n33634 34630\n8634 12498\n56268 83104\n17940 41314\n14810 98570\n7575 42957\n50131 79308\n56834 98727\n32158 84729\n9681 88092\n91641 94996\n11274 91334\n15760 25745\n19749 83114\n49712 76046\n37530 59510\n44880 49471\n25119 71445\n55198 99629\n15805 39888\n24784 86381\n36216 44332\n14655 22418\n52474 88386\n35689 93707\n7467 15998\n57624 72460\n48209 74803\n22130 82250\n4468 63964\n5709 90713\n59014 88597\n10545 97915\n5488 11606\n22126 97678\n40833 85154\n49468 66247\n1684 58450\n19352 32793\n43722 61790\n4692 91180\n26936 29440\n12114 36312\n63998 88199\n48512 70821\n40016 48582\n7463 17696\n33042 52485\n13721 91340\n18066 86939\n36467 53143\n33715 63196\n9252 71091\n75596 98842\n75190 78097\n46888 50647\n35689 39886\n56041 61059\n10166 45613\n56717 62423\n30897 89700\n72329 89259\n58176 89252\n2687 43645\n2242 29505\n58698 88835\n6107 58985\n44154 55649\n56465 88011\n62 62051\n23215 31769\n2902 64387\n3810 46416\n41015 41602\n63075 97802\n16274 22538\n8506 97898\n2896 24702\n66268 73508\n67320 76652\n1713 57797\n33311 69672\n9365 23325\n7276 52099\n1502 7317\n58265 64038\n19838 26201\n1903 36592\n65734 76807\n43443 86782\n8841 69405\n44057 97243\n36963 99216\n38660 56404\n18017 94262\n9446 79580\n10888 44278\n38255 48702\n53657 81358\n52806 91417\n41477 85607\n12652 16141\n3018 6206\n21093 32228\n36888 94465\n61272 74058\n27817 59194\n14562 33577\n57022 91037\n49696 54493\n31196 78480\n41954 94561\n12241 77353\n5748 79063\n25475 49563\n22658 29669\n40452 73774\n53862 85863\n7778 47238\n8443 33203\n16020 21208\n39069 71709\n63502 71365\n29641 32798\n60678 70451\n40974 88019\n10108 32720\n42948 44719\n7650 63309\n25874 75026\n24131 57583\n20673 86776\n50984 91706\n20015 57354\n16059 30514\n17411 25477\n38620 85610\n25661 56906\n42633 57763\n51617 91871\n3638 56237\n10064 78041\n90205 98542\n5520 47336\n12945 16707\n50253 50269\n22139 62557\n25689 84705\n10525 77553\n79071 96801\n28930 98666\n14471 60468\n72396 83306\n67321 75479\n22877 53689\n51090 81412\n8307 81251\n68193 94034\n22834 50144\n11266 55275\n5074 73058\n27861 66750\n33976 66850\n54494 63025\n18906 76136\n24842 37301\n12596 86607\n901 30398\n58690 61623\n59205 89961\n26975 78174\n40026 74549\n80193 89973\n92471 92772\n3970 5190\n58487 80082\n14957 60036\n13900 20051\n13917 76927\n20765 86505\n32139 46493\n16862 85250\n4985 71795\n56983 97501\n7293 23441\n8277 76541\n25716 97941\n40989 44817\n5815 31719\n1447 79562\n43791 56031\n36242 95521\n64629 77783\n70258 75268\n81799 85051\n60408 97339\n40267 75724\n3612 85632\n84877 87931\n23908 88827\n84566 90562\n2404 70599\n23234 41034\n21578 79895\n60779 96253\n17077 59739\n38561 88816\n43976 99279\n20037 22509\n21815 47095\n39987 69763\n65437 95981\n22412 97613\n41590 61923\n5874 14159\n24598 98678\n12174 66462\n6453 56807\n82529 96492\n37163 84324\n11143 92987\n32347 35720\n29775 82668\n4099 97721\n36465 94452\n80544 96931\n12421 58324\n42888 52719\n61110 95315\n22709 42407\n8976 76869\n23546 32147\n56576 97440\n30288 40177\n36444 97790\n38808 80947\n4395 78963\n38615 81370\n57597 64859\n58153 68027\n2730 18908\n29059 68800\n74059 85771\n10493 15199\n5281 72967\n18961 75150\n3598 16246\n3949 62266\n23561 54799\n40955 67871\n54724 75034\n72983 83389\n612 7877\n6586 71338\n16931 79693\n23783 91212\n34132 40933\n44023 59985\n77688 85643\n19116 75865\n20661 91925\n33138 38075\n16417 91486\n76218 83816\n24093 99776\n5368 79817\n64782 68904\n7086 88353\n3032 57692\n1487 47142\n9993 81892\n10428 73066\n53769 56128\n43145 67707\n21955 48759\n79163 98103\n36162 56543\n9193 92003\n38385 85369\n24405 66303\n27684 42901\n37463 61538\n31616 43420\n80272 98868\n39068 77646\n52556 95631\n40999 92466\n4163 19506\n33553 45295\n35457 95966\n52824 71452\n28049 71928\n1460 25945\n1528 58455\n40177 56543\n48056 70960\n5598 36728\n50880 62254\n69418 89717\n5592 40715\n66247 67275\n6868 26001\n6202 72875\n53243 91887\n1117 96779\n45370 70553\n15759 51241\n20551 61951\n61838 66453\n18426 29386\n43257 60794\n7215 94384\n45654 71907\n21160 40231\n19539 54886\n64056 72182\n19875 21203\n16908 93632\n82730 90403\n32492 45244\n70513 97188\n86910 93198\n38535 48256\n28615 79441\n48250 94503\n5545 64511\n65756 71032\n34510 91192\n4874 64704\n57741 89320\n18817 83258\n16538 78318\n35331 55497\n14594 83661\n36778 50909\n23334 24380\n21755 86520\n33385 68354\n5780 23196\n242 90017\n30733 82034\n51000 81692\n14445 99445\n22545 64771\n45444 74166\n51043 62624\n20624 51311\n78314 87825\n85421 89180\n29903 65755\n2357 14422\n4814 45323\n30105 52206\n45115 67366\n17294 78586\n1683 65068\n39475 66744\n5859 18071\n3582 19624\n12010 26942\n27899 38831\n10362 11045\n25290 73142\n34838 50868\n9263 94046\n11101 97033\n57021 75984\n8898 39408\n21725 80082\n11143 90824\n11835 21915\n22791 51511\n11758 82353\n9795 56540\n35622 64894\n9223 20868\n24670 91867\n9958 20733\n48961 91937\n76857 94947\n27776 96800\n19479 68362\n40304 68575\n9275 69224\n4558 79516\n16765 73047\n1053 47990\n16510 50675\n82256 90197\n13157 57003\n17861 53288\n12404 81851\n4090 90249\n10653 17366\n85316 88996\n7355 44096\n9509 93927\n15848 46772\n13413 21907\n12933 97271\n13379 68482\n90323 92649\n41956 46796\n43555 93919\n7642 12206\n22550 28924\n938 34862\n7422 31711\n74861 96754\n19114 88479\n8474 14862\n82975 90885\n8368 49533\n45031 56541\n8037 25775\n5803 91751\n44471 87096\n40508 49481\n85555 96709\n24959 74438\n51801 62616\n13824 53022\n8980 42216\n62573 98842\n16789 30376\n5551 69223\n33501 44412\n38391 45161\n24933 50414\n13778 33980\n65655 91442\n1101 48077\n65954 79666\n6674 28255\n94405 97413\n11489 42413\n298 55093\n25447 55299\n2010 46642\n34694 82272\n66387 83211\n14772 92711\n27171 84088\n51842 79756\n48368 88119\n47345 71921\n29158 92095\n47669 86656\n69758 95484\n48849 94943\n37746 56452\n10117 24212\n22384 77686\n41496 84276\n34822 56026\n8025 30368\n23706 26176\n66189 86062\n14621 85535\n30948 42748\n2626 98724\n75401 84566\n45763 89604\n67248 73306\n58365 75352\n17648 20835\n47552 62325\n61540 69607\n79420 98148\n25099 91417\n22964 67180\n38653 97734\n17008 30189\n53788 83500\n16229 53247\n43830 99132\n75303 92371\n9300 89893\n7950 49379\n8985 94544\n24404 33454\n8881 27108\n1904 8470\n9812 58327\n71822 98414\n23069 87858\n2263 48759\n51854 73584\n14521 15555\n72745 89357\n3803 10159\n18078 42343\n14548 81482\n15049 23212\n17673 53936\n81518 83061\n64544 79467\n54376 65558\n17907 47570\n14657 58456\n23778 92004\n29446 53660\n25834 59743\n58352 69409\n52899 65038\n41407 66570\n27678 47897\n25139 91472\n31027 37091\n1846 71003\n36305 86784\n25367 52546\n79529 92760\n81815 93722\n22098 60523\n2594 55428\n13831 49906\n40584 58180\n3518 50609\n96272 96295\n8244 68743\n37887 74494\n2591 9123\n17589 96563\n21019 60426\n31236 87123\n46614 89521\n21454 25029\n17226 92257\n2979 96347\n51916 91584\n3061 81636\n75393 96478\n24370 72150\n3613 95400\n89750 92780\n47764 54734\n46795 64953\n787 88226\n1030 90858\n64371 81163\n22479 37417\n8057 21124\n11974 70401\n47407 63278\n64780 74947\n4560 28282\n26956 71874\n20015 50337\n61883 96584\n3682 50224\n36398 83896\n734 37299\n18136 38855\n52933 59704\n20169 74048\n38803 50271\n9382 54878\n41537 62957\n1388 74088\n28260 63632\n23518 95897\n42946 72281\n20310 98659\n27546 72591\n30547 41241\n37993 51151\n29104 51608\n57175 85780\n37795 40699\n5353 10048\n27070 27101\n36458 44388\n38277 89125\n23881 73688\n46188 54797\n70115 94635\n18115 41715\n71980 89812\n90745 93075\n45376 92527\n43889 62215\n38372 64524\n68426 89009\n76768 82319\n19032 23761\n15894 43926\n12870 79938\n25203 51691\n19575 47469\n15881 96283\n31771 40960\n5271 95556\n17560 22221\n5463 57583\n85104 89707\n68595 87194\n34347 56998\n29437 65303\n18523 87077\n40724 67699\n76672 82435\n36431 79725\n8279 47799\n61881 69187\n1202 38734\n8157 49066\n15168 83008\n5541 69647\n10407 60518\n14557 55859\n46584 52628\n34091 91245\n40205 57280\n30450 69869\n35111 68249\n70128 77570\n51672 93519\n42436 98034\n1556 92490\n8937 96867\n16130 67259\n2622 58181\n34565 82868\n43029 83965\n9853 36244\n54207 76532\n17003 84125\n22730 51295\n55760 71152\n92356 94671\n16999 26268\n3285 67712\n16652 41305\n852 76669\n6934 11165\n43250 48076\n921 24472\n61313 93635\n15988 78742\n27369 33074\n77000 88348\n63599 76345\n29028 84020\n18847 39231\n16865 45715\n84574 87361\n34449 98175\n49195 94505\n17165 61421\n18001 97086\n22756 83020\n34795 49894\n19897 78820\n3383 30751\n11552 41035\n19608 42938\n20936 60535\n39991 62801\n26818 84929\n16980 74765\n45498 66442\n24796 25536\n52386 71708\n58150 84847\n37506 96331\n7241 38025\n54320 83527\n17621 89277\n76142 94524\n4925 38757\n49835 92615\n9331 63058\n2110 2866\n23859 62576\n12062 75658\n40447 76989\n6941 99465\n30468 43844\n40138 57420\n54386 75726\n14860 74927\n7487 96210\n50725 95371\n70481 87150\n62581 80678\n31776 43480\n38107 57499\n29098 85333\n35160 46689\n39617 50517\n15136 52635\n55303 70716\n55577 71629\n4789 25197\n23328 84380\n48367 94775\n76413 82054\n63003 68235\n64531 79207\n28349 68838\n12231 59303\n23163 47622\n41317 57082\n18434 55560\n70141 96684\n5308 27276\n17873 75553\n84551 91380\n20347 74736\n83286 97059\n29719 54534\n81858 82108\n34152 99710\n40360 91002\n71853 75899\n40631 82160\n21371 67952\n467 57412\n1405 81218\n3500 56820\n49397 65034\n1553 96581\n79526 92485\n72769 92183\n48995 65298\n36715 47925\n18112 83838\n33163 64526\n60616 85709\n44257 56797\n50762 74229\n16588 49976\n70532 86872\n14495 50893\n43272 52622\n2156 55657\n43692 78372\n35638 91616\n11375 47581\n22418 60376\n58533 99857\n17757 68833\n3431 20242\n21709 96316\n96621 98129\n35586 65693\n68603 77955\n68481 74009\n67174 89649\n40395 62012\n93557 97189\n8825 20283\n9507 56511\n43300 99683\n80313 97959\n40683 83741\n19079 35374\n45567 74157\n64209 73534\n59546 65416\n75239 89732\n7927 55041\n4386 66803\n40936 89973\n6960 33955\n3443 75907\n27480 58798\n52950 84427\n48736 65121\n4147 13254\n76832 93820\n60801 72631\n13706 88762\n10620 33787\n21140 70938\n11501 19519\n20392 73568\n36067 38507\n15696 79388\n53114 62565\n15887 54046\n3871 42352\n77496 95979\n40608 75855\n19756 87155\n77768 89863\n31336 34962\n12587 39720\n70872 88660\n70372 93361\n48354 78909\n12417 12478\n31580 44080\n23053 40006\n37349 82428\n17990 55698\n29736 61590\n69859 92530\n33168 77194\n73553 90237\n3711 51761\n33990 69834\n15448 48648\n89856 95991\n50653 80563\n8654 89617\n57477 98698\n47717 53568\n34512 94600\n41975 85727\n64566 75608\n60107 74632\n21074 30511\n61764 84444\n3778 32693\n23604 68114\n23328 57087\n25629 93159\n33117 58634\n16406 79692\n17543 66471\n42221 57927\n5217 6583\n63448 96600\n46551 89204\n52653 93602\n15436 81063\n7289 50224\n7522 28238\n21274 35165\n21763 28838\n7159 99136\n16295 90071\n55859 74154\n26908 51113\n76527 77010\n52059 97285\n1980 63307\n28664 55189\n86388 89782\n3893 11881\n52101 92114\n30920 72839\n30770 92251\n13040 28431\n21326 57747\n88858 93432\n71197 75875\n32299 54943\n16951 54932\n4796 23565\n41665 51303\n53523 57193\n7199 26068\n24991 87103\n22448 67284\n3021 54007\n73429 98087\n46474 47071\n20502 42488\n48782 55426\n31344 41758\n6705 20053\n4089 94351\n6235 10662\n18131 38916\n16729 60279\n83602 94536\n44845 81085\n28362 89276\n7216 42870\n78515 92662\n41351 94910\n40221 97958\n56808 84881\n34370 87934\n23291 58278\n41288 68203\n44399 65480\n60960 84699\n40009 99207\n5971 54164\n27275 75898\n58893 84106\n17717 60971\n3614 50389\n25121 57555\n950 88431\n29548 85526\n43229 86582\n31488 86854\n30704 93653\n3950 64984\n18356 18358\n72003 77245\n23783 45432\n34584 97253\n33386 80372\n25318 62511\n8670 54232\n32934 34960\n30753 84541\n22736 45754\n10073 37371\n68903 73011\n11446 18338\n16549 66920\n34060 76715\n50505 97946\n49608 89759\n2405 10911\n1915 57609\n55225 63583\n45002 64088\n15388 71997\n71417 89729\n4880 57422\n72012 89090\n30881 89268\n37356 45480\n51050 94303\n20294 26750\n28439 75515\n29135 48930\n16238 17930\n30701 67952\n8325 14145\n13204 83918\n658 61018\n8762 53418\n32021 67332\n12002 30998\n5994 73058\n69013 76127\n57847 76575\n66201 98581\n8621 98575\n43067 64902\n11078 92367\n693 90650\n10599 69541\n34653 91230\n6229 63733\n12907 57705\n9177 80772\n16043 28325\n6658 55964\n65965 70460\n10447 52747\n27782 87195\n27682 85710\n93208 98012\n22531 58699\n32868 92745\n58285 83554\n50204 78636\n7167 54840\n43361 61387\n13588 32666\n59739 70449\n36493 87162\n27262 61861\n19586 56104\n32495 59489\n83042 96267\n40668 77008\n26060 63453\n12479 15750\n38012 51509\n48064 91562\n55883 58586\n46484 79906\n11499 36276\n63157 73926\n5814 31159\n65470 89801\n17623 74019\n20975 73108\n25995 96104\n73500 76907\n52640 71675\n3384 80970\n48257 54920\n33897 94282\n20637 37319\n16060 47615\n21655 76096\n71580 92593\n82815 96381\n58156 89218\n70782 74337\n7510 88940\n12931 88941\n27629 46026\n60191 63373\n72437 94816\n40813 84129\n32837 51070\n18533 80484\n86282 98666\n76477 94372\n3046 5121\n19617 65916\n76950 93680\n9927 33294\n53190 56379\n18059 23381\n70277 85568\n34892 96833\n14848 81494\n16960 74079\n41249 56273\n73 67972\n3874 5225\n69295 80136\n21574 86502\n12812 20894\n69585 79038\n35615 91745\n14728 95149\n19498 85117\n49686 93037\n14644 75476\n13863 31575\n29326 36511\n40862 92592\n136 23314\n49235 64605\n23038 25073\n13451 15991\n45856 58453\n9808 53172\n68546 83940\n36378 82613\n32219 59291\n10853 80896\n24400 42704\n49085 98711\n5155 58911\n12802 37127\n4906 76855\n6033 16502\n22897 56578\n22843 40473\n29274 29541\n16358 77485\n1807 44626\n11334 98511\n21874 27549\n10218 93476\n62192 85471\n33176 37146\n31884 73352\n7119 64239\n11615 46983\n10123 51260\n81010 81565\n22880 59640\n62330 67211\n9587 28184\n29308 92421\n1282 76614\n4893 87942\n61697 62104\n23220 80782\n51907 83875\n39604 55520\n20364 70661\n47127 72880\n11836 87448\n38407 56319\n22878 93898\n7177 16783\n19576 88415\n31047 56781\n7960 22320\n23526 70364\n2404 60328\n35722 79392\n45587 58187\n178 10759\n76433 96002\n11226 73332\n17482 86385\n32632 85874\n60880 75682\n18901 30742\n61416 89022\n26068 98820\n13541 46272\n11289 49836\n49310 61705\n41542 72273\n2085 69255\n6821 28415\n9765 12004\n30508 86123\n441 96527\n43560 51618\n30399 62826\n5186 27543\n15085 41729\n47835 63486\n45812 60582\n47892 74091\n86042 91605\n25074 51767\n55956 66083\n12109 82595\n21437 79676\n67503 79875\n77062 98891\n8056 74678\n5167 63622\n1185 56165\n34834 56227\n2801 8459\n10843 74350\n8349 68458\n42951 91655\n36188 69563\n39964 81454\n2060 94958\n26029 33318\n64305 88999\n86474 98338\n51125 52270\n61175 71977\n92319 95683\n58123 63081\n25490 40019\n17120 26046\n11653 60544\n27546 72853\n18048 92886\n71346 86897\n34734 89838\n70598 84000\n11087 94901\n39894 56161\n2576 49382\n10498 92262\n9684 88274\n18925 95050\n2498 34338\n50566 95851\n10473 84384\n47390 97974\n4019 91032\n44733 81774\n15141 29887\n16067 94563\n27275 87022\n31313 52758\n3652 18163\n31426 83015\n21578 99652\n63212 78064\n48522 76722\n39887 85964\n34018 86776\n79562 79925\n52523 77858\n18318 46146\n12054 57140\n7366 53188\n24097 83225\n40313 70621\n34369 45013\n54210 89596\n37345 76967\n28836 94547\n26495 76372\n17684 36158\n78692 98521\n260 40369\n9381 38857\n12627 34404\n3619 74480\n60066 83067\n45765 98289\n53411 66341\n41422 45450\n21991 91859\n73732 81281\n27021 41290\n13410 76121\n7681 84174\n39323 94019\n45968 68441\n1389 71049\n91667 94632\n11889 91711\n12625 88061\n27758 52763\n64995 89407\n2530 56137\n42159 79416\n11812 78623\n24333 50400\n31977 97629\n25570 74886\n27394 75250\n4012 5602\n14224 64476\n63958 89174\n21158 98672\n27139 73316\n14782 59569\n40477 47958\n29455 36580\n4189 15291\n23020 41811\n29145 68887\n9814 43138\n50833 84577\n43540 95361\n26019 68259\n16816 30336\n33359 85681\n29223 68477\n6743 16151\n40037 77131\n22483 97633\n56653 73358\n61451 99094\n72259 73036\n13391 51491\n17971 86552\n12364 18759\n73970 90760\n4093 6360\n80101 84234\n66761 85584\n33852 85371\n54855 90082\n13412 94920\n34995 84864\n58642 62443\n9374 52633\n46049 52088\n55705 61700\n15040 85462\n9291 31551\n83152 84010\n44036 72441\n43433 66601\n12063 70938\n2232 16481\n57329 95238\n50101 95388\n6834 21076\n33941 62098\n17435 79181\n40488 93648\n75923 90649\n747 14113\n6483 46763\n2145 6023\n9617 93260\n39691 85448\n3344 86826\n65050 93390\n30220 49133\n47052 88299\n9785 59552\n12430 64711\n10428 93306\n4547 8709\n55803 94987\n37676 56411\n15697 65461\n27743 91339\n31130 45644\n67290 91203\n70316 85173\n17819 58059\n51369 65142\n18910 19788\n36469 49436\n13573 50422\n22691 86937\n33934 65643\n9392 77765\n62438 92091\n22546 56502\n31308 72444\n62194 69382\n25741 87944\n50257 93603\n34323 83229\n28887 86829\n83136 99766\n29082 74363\n25959 55622\n8809 48561\n11159 65277\n71508 75310\n26206 27490\n11884 92181\n30072 90662\n68902 74468\n52112 77037\n76570 79036\n31044 91825\n11408 22314\n10337 53912\n6121 48354\n6276 59638\n58545 66141\n61695 69936\n47471 56117\n16495 72552\n23719 95996\n11480 43288\n2850 47444\n96199 98943\n33131 94934\n22487 54672\n40865 44638\n12104 36636\n30367 61530\n46587 81237\n49471 99024\n1735 52316\n3323 83910\n60212 68386\n20238 86439\n10463 71939\n21798 80037\n10181 15246\n21048 63337\n22630 91001\n69143 81452\n19820 62727\n19822 53614\n43010 48121\n25562 71570\n9689 29644\n22736 99842\n67806 85328\n4497 28743\n6664 88637\n5306 96709\n47170 58334\n19251 55428\n66692 77435\n13918 56172\n45582 52752\n39338 83842\n88 70462\n34638 60266\n37459 67775\n13371 36520\n17978 78139\n23814 57475\n21072 98742\n56788 92739\n24489 61267\n52585 64624\n49535 60789\n19547 60855\n49919 67867\n26524 27454\n24877 39971\n42894 64850\n21803 53509\n13170 77472\n64470 90649\n10834 16540\n52801 80111\n27154 30451\n62771 88377\n276 22474\n23804 40203\n45356 94878\n38412 63543\n17017 21286\n39421 96744\n47494 53077\n13581 34675\n40902 88741\n13944 80189\n31329 74463\n28625 73109\n7043 44325\n34124 67744\n7228 44794\n33143 49210\n26783 37886\n2055 3382\n11851 53308\n62917 91524\n11332 75325\n68760 81039\n60700 94003\n18891 49272\n28905 90713\n32533 63414\n33788 64194\n18564 22252\n58477 76334\n23493 57557\n24139 62038\n16519 78621\n32020 70869\n88798 98305\n54962 94962\n21004 48493\n41552 99413\n83351 98131\n7364 23446\n16965 56108\n96192 99860\n9327 15065\n1135 49605\n1648 19999\n75348 77641\n19335 36882\n11065 52022\n7349 28840\n3875 37567\n21202 50934\n62516 63310\n56070 84164\n50227 69677\n63922 85301\n12943 94884\n21182 35128\n90015 91884\n72734 75414\n25147 58917\n70827 94837\n33398 67972\n24602 91498\n3944 85966\n6997 65767\n93651 97816\n86881 96111\n7233 99996\n17948 40458\n14486 32699\n43926 56349\n67805 81861\n49389 90577\n980 67167\n2098 87778\n58032 86920\n19565 81072\n59700 70596\n20854 40103\n46562 48160\n63382 71950\n8248 79815\n35018 42507\n19917 47791\n42307 77005\n21515 49392\n79673 98657\n8658 99674\n32383 81900\n26747 80242\n19939 40549\n17739 78282\n20556 84777\n8998 31996\n15368 24398\n44922 65119\n37781 88620\n38637 85884\n20119 85492\n17735 37221\n12063 62985\n50604 68268\n69367 73801\n26672 38423\n19365 19736\n94892 99280\n2205 57633\n2401 15751\n29292 55081\n47071 82654\n38363 68328\n52535 92228\n13614 20537\n7280 26831\n40446 46404\n49824 68650\n45451 47111\n16708 45455\n6271 25268\n5900 81937\n1991 99685\n64620 98787\n12136 46126\n7358 51680\n34665 94837\n95206 95764\n31921 95112\n55938 98139\n16923 76770\n5104 34432\n45863 58354\n85330 91486\n5066 9363\n71057 82785\n24127 84486\n17812 23592\n61698 74339\n15376 50252\n3894 4220\n5348 41654\n10371 74848\n42930 97678\n27289 37783\n73553 88228\n9383 50684\n15552 84704\n28252 56177\n8833 9061\n21164 64143\n69295 77107\n1427 48605\n30921 30986\n60599 95490\n145 93723\n41760 81175\n73302 76810\n35663 74032\n88130 93102\n24979 39705\n47763 53697\n18534 73558\n53235 58144\n2458 96655\n88532 88833\n77423 92513\n71685 97937\n4467 44804\n13644 59167\n37583 74847\n55442 73656\n44901 91144\n35892 37741\n4274 79602\n6446 32048\n18967 62850\n79242 80838\n11538 59776\n15260 17247\n59173 76938\n35183 96754\n33067 73396\n8282 37236\n4282 22438\n10653 18230\n57332 79739\n61605 99226\n64323 74726\n65666 74122\n54445 83860\n18289 86727\n45542 63973\n24797 76965\n27868 59131\n28832 70310\n47165 54471\n78988 91807\n48384 78337\n80682 89187\n25327 55772\n10945 96302\n25461 26985\n11474 38022\n26227 91206\n37931 98688\n33698 93339\n1947 49522\n11134 29496\n3873 8071\n18286 27407\n61787 79018\n89545 93426\n7276 49402\n39903 50241\n25496 75814\n49498 78908\n40635 51769\n7471 47238\n52423 89139\n18389 22671\n37391 62587\n28208 87326\n33929 39394\n8699 87003\n26178 41457\n17230 29815\n2593 42625\n78305 82553\n15644 33523\n40463 99046\n83671 87231\n22340 85864\n15720 79094\n54592 71791\n10539 69612\n23139 97326\n53389 87033\n26718 83225\n37094 62354\n11353 96602\n30295 70401\n32901 48404\n75056 90856\n60132 99468\n43358 98563\n23379 56303\n34940 63217\n46068 48165\n49452 84980\n14072 97647\n58520 87784\n95450 97022\n44902 90720\n48330 65596\n21023 44695\n38805 66752\n16650 73973\n43661 55982\n14977 32060\n20288 35073\n11375 83866\n32633 51927\n26008 42474\n77650 99046\n216 71278\n39478 58786\n31115 68025\n2312 78700\n9528 24597\n58666 86124\n7806 79400\n70464 73883\n47854 85427\n23914 44617\n38977 83705\n25647 48950\n82533 83223\n29245 96889\n76695 77787\n18603 65798\n91843 95643\n61699 91148\n5474 31858\n13323 97546\n42470 77613\n67059 80124\n57685 66878\n13150 69810\n67057 95469\n9278 75772\n12095 76458\n11111 34179\n622 14445\n14741 40830\n38072 61515\n72074 82644\n27767 93564\n17186 40802\n47738 64326\n6247 58227\n73179 75297\n51990 70678\n95491 96734\n41700 91932\n17002 29794\n2082 73181\n87337 88578\n23527 52380\n4152 34971\n21408 57731\n3837 7365\n14604 68890\n19081 20993\n25122 59701\n6922 67460\n74905 79389\n10449 30607\n27076 60407\n45802 65991\n18868 48869\n43566 89865\n48407 50617\n42937 84636\n40210 96697\n54133 58012\n8994 40518\n35397 95875\n35751 91086\n38257 90956\n14580 39716\n3101 57118\n10445 87273\n36256 62473\n10923 14915\n16191 31911\n43143 62101\n69245 94442\n14720 83642\n15869 98448\n52807 79802\n14798 75086\n28722 30849\n8376 57324\n36593 71213\n14712 15522\n18844 62684\n25777 50982\n47072 97761\n50191 92042\n49788 87485\n13589 52302\n28234 95342\n41335 60464\n28878 57412\n4920 43672\n59123 68579\n27066 34850\n4949 48490\n59866 81668\n7658 10502\n347 84822\n55991 72465\n20345 57926\n39198 81421\n54047 56158\n9388 74413\n13695 17955\n39444 99610\n5250 90994\n6217 68359\n13789 39815\n44859 89711\n15184 72158\n28890 80560\n80576 98315\n18810 34486\n49728 95744\n1565 29786\n72458 74227\n52595 99941\n23235 69636\n63961 75228\n37838 57565\n46611 57308\n19224 26416\n85369 99244\n43771 83546\n43892 69268\n43091 53368\n2411 33540\n19046 59997\n48676 77832\n15652 75200\n59334 67193\n22951 90787\n87343 91443\n90678 95045\n31476 98066\n12041 32935\n53737 72956\n713 29610\n30553 34502\n30042 48003\n18377 39043\n75206 80889\n8272 92037\n65316 69797\n2391 41075\n11696 25028\n21803 94571\n44057 44373\n3106 81201\n66175 84119\n41497 82938\n56005 62073\n40879 41682\n54153 77536\n74934 99082\n7376 21740\n9265 23225\n11287 56854\n53310 53866\n54499 63462\n18738 77697\n69684 80574\n37576 67498\n49613 53613\n44958 96218\n46427 67372\n49757 77729\n56314 58114\n41807 62627\n5200 30524\n74673 95336\n72950 78444\n26463 32727\n7983 79414\n62513 68997\n44870 64020\n58963 63803\n13429 69534\n47758 51473\n80954 96283\n49405 78058\n16886 98437\n10460 53806\n61815 77082\n55717 60972\n80419 90061\n37332 50763\n66740 75976\n20529 81200\n45841 94869\n28957 83499\n55189 73542\n61735 75264\n16736 30073\n9792 90410\n4410 51139\n23944 53849\n58814 87028\n60745 84387\n42760 73472\n12356 22175\n52690 69384\n69294 95569\n22707 59083\n18047 31456\n19717 65208\n20338 25710\n49065 68279\n49240 92375\n66777 76824\n53527 73168\n46032 98832\n353 461\n23668 80790\n82845 90384\n63047 85661\n80921 84817\n3806 47074\n30859 80406\n19833 97273\n15896 54172\n9836 75651\n28301 32610\n34170 58847\n58606 68151\n7824 67480\n3354 88859\n71144 87212\n30222 66085\n15694 18401\n67843 76099\n70227 90583\n25172 80410\n41366 91355\n58040 90960\n36838 38484\n28947 69297\n45513 99833\n84305 94611\n46716 65419\n3049 32955\n28917 54868\n49627 69544\n22320 48007\n12534 66994\n28147 93833\n11148 90980\n6113 87853\n14695 44825\n1526 99229\n827 30043\n19098 66124\n54595 54780\n10921 19974\n2595 65873\n12143 73244\n24573 43657\n20024 69689\n69588 80399\n50154 90394\n61412 95082\n12839 66923\n19461 97553\n17526 17937\n49483 97747\n66534 87673\n74669 87477\n1117 74056\n32234 58532\n3071 13296\n7196 83845\n11989 88201\n54615 88167\n19402 84439\n39202 48662\n29589 93304\n6412 65334\n33673 34899\n1736 66066\n74635 89767\n25809 56542\n74156 88805\n11867 18499\n22508 54165\n3705 67004\n42275 64022\n21434 49294\n22687 91859\n15982 31815\n42678 60933\n18588 62074\n2837 78191\n60770 74865\n41219 88834\n2312 48123\n53875 62014\n39005 43852\n26781 63590\n71227 87296\n32652 60836\n924 18098\n1870 67081\n52617 88033\n23485 94024\n56570 79170\n61000 94719\n15233 32249\n6703 63935\n50921 93931\n67973 87655\n66227 83162\n2801 83843\n37407 47658\n5545 98131\n49457 90988\n30715 78256\n65361 71035\n38157 80408\n40920 72158\n29837 98894\n37352 51623\n50253 50529\n9922 91745\n40508 54204\n46854 86674\n26894 99915\n11607 64376\n49389 87543\n8479 27805\n4255 9140\n44631 68423\n19629 66078\n8569 69303\n40050 58546\n13771 39134\n34984 73295\n78210 88271\n6000 91399\n39012 97974\n6221 44124\n48280 52332\n10073 48346\n23539 33691\n14529 40509\n25436 55091\n42480 99586\n22093 39787\n21826 46461\n46730 63687\n2736 30432\n11453 61914\n95975 99954\n26259 59947\n54470 76330\n53140 67285\n67851 95235\n8370 85122\n5216 20995\n40125 98356\n37729 47810\n20672 80851\n14614 93031\n28539 93138\n11298 87830\n26064 68929\n9024 80602\n9354 58784\n34922 94023\n11161 23384\n24343 35853\n20649 80046\n20047 56898\n8012 67357\n31408 71654\n29980 98447\n3241 91295\n4683 44743\n43051 51232\n42590 76714\n24834 29240\n37165 65657\n29155 61421\n53989 59599\n69186 88562\n43726 71110\n38165 68211\n44392 74822\n56241 71670\n43288 96332\n6943 20253\n9614 39758\n41460 70600\n11509 43345\n60570 71230\n14925 59322\n20938 75883\n27741 94325\n30785 63327\n5791 60867\n38859 51670\n17960 57954\n16562 53486\n48593 49517\n3357 25901\n68807 92487\n30903 60686\n2568 56950\n25516 77378\n18265 58719\n49948 72414\n4063 41571\n70563 81344\n14352 55291\n76739 84470\n19345 97696\n10654 84096\n12496 67164\n13835 72856\n10653 91253\n63647 66283\n49265 84667\n64545 90941\n5854 13402\n8373 99612\n2769 76273\n9265 96624\n26676 80824\n8309 68893\n68775 72686\n9527 15460\n37279 55193\n12552 70619\n15230 30787\n38151 77226\n8648 60845\n7173 14577\n40012 76661\n36939 92713\n13140 55227\n9426 34913\n669 70472\n46346 83809\n40103 80042\n17558 95480\n45757 60370\n13940 53010\n4545 67565\n27357 82722\n29953 66862\n5773 13295\n58876 89731\n58881 99047\n1723 47246\n14289 82684\n71233 85861\n68299 82019\n9180 25064\n59114 67764\n1026 7636\n3129 39474\n70789 87836\n26652 42590\n68453 95616\n75936 92856\n77713 88574\n25181 80084\n13093 25548\n65818 92653\n31832 35877\n36935 38451\n6428 79025\n23319 54067\n34686 35151\n32238 94284\n34990 81655\n7891 31892\n5302 40243\n41556 72483\n59905 79441\n51721 79531\n34173 63517\n9736 76528\n158 67338\n35275 84205\n12314 81212\n28540 40153\n23586 95209\n57807 69985\n93066 94298\n58190 89851\n25981 79710\n18877 60484\n12235 20603\n3026 96340\n27502 50962\n5138 75075\n59745 72063\n15178 23129\n79188 82665\n1709 4429\n17227 41200\n15281 86024\n46266 90175\n48465 94554\n57700 77623\n62818 95261\n73730 79837\n37166 97408\n15666 76153\n26998 65164\n19920 53315\n1761 63829\n55447 55955\n17702 80521\n80651 83817\n72109 80996\n53948 89488\n14640 95524\n55468 59137\n18446 31898\n2215 40488\n37761 42489\n38911 42267\n35652 45591\n18211 44201\n3625 99862\n53993 55964\n12150 88805\n47001 78646\n82078 97441\n41463 87850\n25943 93743\n13692 91213\n1011 91946\n68481 89845\n77334 86976\n48903 98428\n17670 58678\n51338 53358\n4900 16045\n6745 11390\n10170 42315\n57503 63927\n52583 69928\n21050 26416\n5889 8541\n19106 95264\n21609 39717\n41003 99772\n26346 61467\n44049 60929\n38311 52771\n52471 63768\n18391 86682\n19359 79243\n58921 97531\n40083 54068\n56505 88995\n51125 96271\n37393 65554\n14305 41095\n2751 56215\n41813 93580\n9290 49091\n71296 95087\n10826 58048\n55800 89545\n40153 80894\n1823 39640\n68641 75412\n38287 76825\n44301 99391\n6147 85569\n7499 79374\n14352 64189\n57197 91322\n14633 31348\n52036 61562\n99319 99953\n6480 65889\n56165 58433\n36107 69628\n63283 73738\n44252 89051\n17032 27627\n66750 89663\n32922 66815\n11548 47581\n1720 10970\n32258 81776\n57847 58490\n23919 97032\n41608 43083\n16059 68941\n7461 79000\n8864 80426\n35666 45417\n61521 69106\n18282 30587\n33840 60219\n23151 82798\n80961 98487\n13960 60457\n18866 99446\n14699 59349\n62036 93213\n10531 93212\n59304 82827\n27488 88267\n10861 53590\n18921 38457\n6395 23864\n74829 78762\n10023 53587\n60201 96908\n15570 56227\n21606 73896\n55599 65167\n34856 64837\n66802 95577\n50775 97995\n46521 65002\n14796 38059\n25257 42985\n37169 69771\n36044 89839\n20719 25063\n9901 67411\n2534 73590\n38562 57350\n8480 76945\n33416 72251\n78131 84296\n11223 73406\n35581 61478\n10817 21948\n30739 59762\n5060 52482\n22661 47720\n14083 65167\n41085 46852\n40487 98583\n26715 69192\n2521 63465\n7586 55293\n6630 17193\n71480 93332\n13065 53680\n27270 46630\n715 50875\n82768 96207\n52283 93076\n87883 94497\n76728 78864\n6499 91137\n87264 98506\n13402 33526\n81331 96685\n31861 82031\n57508 75232\n13761 85662\n71006 79660\n11925 48798\n6228 83326\n1088 6551\n57696 89663\n30142 38739\n55936 69533\n65766 99843\n26 452\n75903 85308\n23087 61573\n57892 78145\n1659 77929\n16574 30330\n42124 62625\n10396 98448\n39610 57183\n7638 97095\n1240 59184\n28657 46895\n15518 69548\n27712 97669\n12115 52685\n12581 41446\n1285 57734\n63846 87459\n43723 52607\n74255 84785\n48547 61640\n72076 96089\n6126 75602\n69705 89041\n35884 77373\n19406 95828\n83933 95366\n26323 31776\n19593 59760\n34076 75042\n26645 69687\n16956 56927\n22476 47305\n40357 80266\n16900 71108\n35591 81426\n15475 68798\n66025 75151\n85443 92564\n8298 48984\n86901 96709\n47520 60965\n7805 67427\n6167 54348\n51328 60368\n2514 75540\n69458 80714\n18820 68317\n16182 79555\n7560 30072\n2096 6317\n45658 57560\n34213 69217\n41262 85840\n11433 48148\n12457 20706\n91496 93187\n56692 89661\n51158 61408\n89187 97379\n25211 52218\n15208 77744\n5088 44709\n17279 46526\n21139 70653\n6243 24023\n5119 23962\n31179 43444\n7498 32302\n44820 74779\n41408 73562\n66280 74579\n94860 96716\n7140 60348\n2393 74115\n60654 96756\n43353 65292\n11471 95628\n12854 20978\n78274 86093\n15398 22641\n60176 93645\n21307 79272\n77168 90204\n2816 51266\n69464 99632\n12421 18124\n55943 93206\n5858 70960\n16995 48871\n33641 48853\n53901 54207\n8238 95080\n56128 81419\n13780 62660\n80213 93780\n43281 66432\n43659 55935\n24638 93182\n8414 45288\n20433 42232\n16550 25488\n11675 47074\n33134 72377\n49414 90135\n31448 75074\n79349 88325\n9240 17556\n41838 57412\n32476 51700\n14202 58351\n43755 74050\n15670 20744\n13601 60274\n60493 91089\n42696 89381\n16412 29841\n12954 86732\n63906 91982\n30256 42569\n42881 69610\n52564 63083\n27265 89809\n6051 54324\n28248 86081\n11529 49818\n34457 35704\n54989 81834\n63542 88669\n54719 72733\n11862 51213\n8739 8905\n84799 94031\n19991 71156\n6004 49402\n55656 76506\n32348 74723\n21889 74664\n40731 70559\n61547 83551\n21460 99690\n8536 31910\n63856 91646\n15076 80738\n72415 90371\n4726 25722\n35890 73638\n5881 8714\n22699 38590\n17385 72896\n78686 95309\n15785 97234\n9602 50758\n2612 78778\n50477 63919\n5712 62172\n57940 86836\n73596 92551\n79643 89211\n37158 88738\n35449 93254\n80025 88551\n63169 76989\n15969 62992\n28481 52938\n72454 77162\n17396 45245\n31116 65962\n15529 42954\n14428 79471\n18065 45869\n32621 55876\n49694 76686\n19480 34642\n13984 67775\n5059 94761\n5991 85151\n46197 87915\n27286 36786\n63254 79854\n6303 57252\n65099 75974\n16880 91185\n999 58956\n39367 52372\n11249 88037\n71075 76024\n49898 63832\n27865 72893\n56610 65253\n16100 27814\n49791 91062\n62270 92620\n76203 84839\n13909 52503\n61903 65992\n68497 85223\n28799 42940\n6527 38643\n25192 30843\n59405 98760\n17234 79511\n38423 80089\n29659 78611\n12241 30008\n27442 76129\n90657 97083\n12622 42338\n69255 80655\n43571 81105\n13399 13526\n21066 51713\n52809 89265\n18734 64487\n1956 34632\n24669 72594\n2692 83041\n9734 42278\n6486 16141\n69778 97004\n13397 73284\n25127 76674\n29288 85488\n36955 80533\n1981 58940\n31950 47386\n31792 44825\n15753 53428\n12770 33253\n49532 49674\n23935 56013\n70263 98851\n88939 98977\n4719 88810\n46214 82563\n27920 48127\n7847 74400\n24444 81212\n22398 33085\n16502 66399\n11098 17355\n46968 81327\n62866 90159\n18679 43314\n42180 74115\n62514 62549\n43352 46347\n57499 86841\n38486 46489\n64178 93912\n83708 96425\n82799 99864\n60059 79945\n29483 99256\n46508 79039\n11628 57801\n33255 77612\n10974 75665\n32094 57615\n16776 60495\n6025 83869\n6224 8608\n1474 64894\n9116 35280\n33130 56828\n13454 35767\n35585 36069\n64188 81308\n30350 39761\n46154 64713\n59987 97724\n13597 48450\n13558 56558\n26188 77725\n32253 37237\n86815 92731\n80147 84640\n2457 36729\n73318 88115\n24991 30857\n44465 90430\n32681 93848\n19462 94030\n9333 74363\n12056 65270\n37875 99427\n91614 95472\n20891 46542\n24480 95316\n23623 77426\n7231 75221\n20193 87986\n29333 84487\n82809 95432\n20760 50461\n63281 83707\n51140 52195\n4218 44642\n87956 91360\n88321 94385\n2958 96819\n38945 53200\n1053 77467\n22443 93433\n45127 76674\n58480 93957\n12484 60984\n70020 95629\n41690 74388\n42710 90055\n36925 62188\n51277 98349\n40819 41301\n28554 90203\n29729 58456\n35124 38780\n18695 93100\n21661 85265\n29090 37447\n14263 21747\n12549 62225\n5804 75543\n36594 49830\n1401 26550\n41711 80281\n6903 51762\n32800 90364\n64159 74660\n55174 76502\n5878 31627\n34959 62177\n57898 68136\n93023 95708\n47015 79120\n33945 46229\n33347 85497\n50578 89060\n16426 63775\n53186 82648\n23790 49689\n60099 60122\n29461 58829\n12622 28653\n8234 83408\n40773 64303\n62509 97636\n11050 92771\n24154 98106\n3155 54110\n28739 61710\n38533 95721\n10664 15669\n28142 46279\n68998 70317\n10942 41769\n3768 35951\n53259 77607\n26564 89944\n2184 23264\n21046 58355\n16636 95002\n43496 72959\n13985 18643\n52929 75166\n25211 70618\n13895 27390\n57053 81406\n10095 80208\n4440 34439\n20542 62282\n31331 39578\n14525 22245\n50629 81895\n39736 64529\n38648 92019\n3869 48634\n27134 59540\n18774 33085\n1924 65050\n24291 92300\n51666 66676\n29431 62771\n94715 99484\n25192 54793\n26658 56833\n32694 79535\n8540 91366\n27316 64602\n3736 9629\n18385 60808\n5195 77749\n9885 11210\n10681 92632\n4782 65332\n12593 21440\n45800 46930\n26080 83332\n7868 43206\n12062 78576\n34870 78419\n17893 56077\n6365 72282\n9127 81866\n27102 70732\n4026 72504\n14419 64556\n30448 60190\n60779 63988\n61642 82915\n1987 10049\n46190 75388\n19692 96765\n60400 75653\n19792 30619\n443 98426\n30768 52401\n60501 93603\n88497 92190\n61186 84853\n36481 90732\n14798 39690\n30852 59369\n7045 35537\n40460 58355\n9348 16416\n57661 83975\n960 87467\n6963 8514\n58624 85910\n9223 58640\n18469 65754\n13456 59050\n61603 80605\n16766 65498\n21829 86639\n40022 79024\n89756 96784\n45090 63824\n12372 42329\n15634 58743\n70453 86788\n91343 95678\n17323 49174\n38853 44887\n1540 26284\n41362 71160\n25468 67974\n16126 81045\n25160 83154\n53994 96964\n54343 66642\n54043 83857\n18883 98591\n28083 75408\n20235 98468\n38485 49149\n13428 54497\n24995 53034\n60587 62196\n81439 86718\n81599 99752\n23350 76394\n5281 32456\n36353 67434\n45712 78571\n4221 70134\n26917 45996\n57071 97930\n47633 63986\n24445 89706\n43148 49657\n25522 43419\n38072 48458\n32260 99489\n42583 94985\n5979 80641\n808 23759\n43476 51869\n22241 78214\n10328 49538\n17989 65625\n39735 71010\n13191 66928\n4610 42933\n32850 96340\n18321 42962\n55615 66693\n70042 97479\n63798 68042\n33621 74023\n9632 11922\n13168 53481\n68192 90499\n36277 41886\n44175 49282\n44756 93214\n6533 62501\n73905 96096\n69036 79875\n13935 79359\n42423 99247\n26083 74561\n62455 80593\n16172 70294\n11093 74912\n26027 55916\n42586 81534\n5756 98070\n44691 74148\n38339 81884\n56365 80912\n61647 72156\n85913 91617\n67430 68544\n66163 73406\n47454 87000\n25701 54969\n64410 91024\n84874 85086\n42500 60469\n21849 87207\n12198 34939\n43651 65571\n51293 59063\n78324 78565\n52372 54644\n9377 63488\n14978 49282\n158 8000\n28110 33723\n2609 5769\n15481 92532\n11134 58769\n14235 85158\n10446 71915\n4762 72270\n3774 61560\n10236 21518\n25026 50731\n47244 77011\n42370 87247\n658 34961\n96704 96715\n54707 85023\n44490 46950\n73220 93347\n39685 70906\n18715 42791\n39486 47336\n46135 81225\n38346 45189\n4416 44115\n50914 82191\n78717 85682\n34273 94290\n90834 94217\n53979 63615\n17932 39890\n15197 63237\n21222 94170\n50199 50995\n53560 86216\n28118 53238\n28368 52107\n49457 89617\n29615 37212\n11358 38810\n47392 81107\n26077 46695\n33283 61643\n29953 52500\n4750 80907\n19386 89352\n75982 88816\n487 4250\n23349 91606\n15876 99192\n6126 13840\n5097 26846\n24906 52922\n18294 31089\n8786 32607\n51282 93469\n6380 70213\n65189 98108\n14710 60770\n61118 81353\n35561 89517\n68853 99951\n40492 72598\n54110 78572\n9457 39172\n17427 94278\n52338 85425\n31404 37736\n39888 72547\n4250 36870\n41831 89982\n10063 50402\n19104 84025\n46596 48741\n33403 82964\n1946 93916\n42601 90310\n15328 58037\n545 78008\n89796 93817\n22751 46107\n24838 41937\n6067 11154\n58364 76022\n48712 92479\n37574 69510\n1032 89294\n17726 36735\n16772 28083\n36751 72249\n2470 33686\n78881 97719\n18043 76389\n13112 79649\n37620 87794\n1052 28197\n63878 85786\n29825 75141\n44813 99528\n27221 55889\n51711 65419\n70375 84711\n47683 98601\n43782 92752\n77451 82965\n43098 74841\n68038 76999\n36197 40644\n29445 43653\n380 8137\n46343 58651\n12181 17478\n82838 98205\n47551 64560\n28038 51221\n1561 49386\n17597 22649\n9120 29197\n29977 63251\n59288 77554\n78354 92603\n53508 67186\n19092 65284\n21015 87773\n39404 77920\n26453 41577\n49920 66639\n72376 91863\n27994 48145\n943 42282\n3726 88827\n24184 42596\n79234 89075\n14797 46119\n27751 98961\n18778 82931\n44566 62124\n58725 99424\n27709 46335\n48011 64142\n78875 92150\n31853 60576\n11425 51673\n3674 52069\n11892 88334\n44805 97575\n81842 86969\n20627 53888\n61935 63738\n23132 84666\n41817 60728\n41591 94444\n32598 98251\n371 53841\n21005 77640\n8975 30275\n25892 55567\n10270 98943\n42900 84783\n4814 86229\n20832 48338\n27089 30616\n1632 29503\n53735 61129\n82782 92967\n10843 59499\n14528 60839\n41212 48128\n44909 84161\n79239 93778\n37163 72493\n20055 81663\n57425 94279\n3462 22866\n47723 70629\n40402 41635\n25610 34039\n64811 99765\n6511 21485\n64488 87917\n15512 99026\n3561 5421\n36072 49007\n65410 75850\n41032 72761\n40985 69471\n15958 26115\n45909 68268\n41538 50275\n8581 34418\n30462 91131\n57660 70617\n39709 99407\n35986 42091\n22584 58426\n44578 83957\n53928 62639\n11409 56099\n47311 97229\n18074 69966\n21862 61102\n14570 63321\n3369 90099\n2006 57774\n34102 41843\n88113 99368\n1478 50194\n52915 66148\n859 11567\n33214 78081\n37253 41616\n32676 75989\n2109 97760\n20063 53183\n25619 31122\n30555 49920\n26034 89781\n62326 66097\n35614 50582\n4842 12163\n40847 57944\n64118 84308\n37909 59720\n41203 82890\n16327 51381\n9655 16488\n57515 61174\n65774 83860\n31920 73528\n64 47679\n49384 60026\n59462 71033\n6206 65269\n74521 85020\n29996 56306\n3193 74103\n13718 53817\n3747 43552\n42022 54350\n56089 87456\n17077 55602\n31614 50969\n945 98043\n49523 95225\n31901 97220\n8705 54971\n9934 30156\n33905 78754\n26889 27481\n57116 89550\n46260 70971\n39856 82712\n55653 76498\n72883 84329\n43140 56542\n40370 61983\n25681 50296\n82922 94820\n43778 52798\n45800 70958\n28921 52825\n53722 82283\n35492 54909\n22123 50632\n32095 39334\n35278 41298\n52059 62751\n58626 61047\n14194 19179\n15062 51694\n3805 5599\n30786 47641\n25382 88889\n54606 94159\n1696 74747\n16134 56266\n61385 83695\n91432 97922\n12893 81151\n21538 40833\n46740 91898\n62307 94643\n4141 41942\n55135 92929\n19730 91641\n60381 91340\n57952 63509\n8723 89301\n51688 78566\n52526 69903\n67106 83608\n52941 60476\n11381 45042\n40956 60114\n35805 43114\n85519 95057\n3265 67862\n24048 36252\n15391 26962\n51382 74435\n36162 62507\n20452 34047\n30248 92763\n28503 78841\n11545 73630\n16363 62592\n10715 72672\n93493 93620\n12236 61097\n39483 44083\n8772 21611\n62223 88099\n85541 93590\n65610 81873\n27741 53788\n11099 94330\n23112 95888\n41874 52039\n31117 67132\n19053 33740\n93384 95112\n33404 76211\n41652 44993\n10399 62205\n34077 71931\n6094 24959\n9124 12275\n64088 76740\n38568 41039\n40445 75714\n34554 52722\n30217 31717\n8026 91398\n31289 44232\n59802 96633\n87723 93817\n36473 45231\n36049 82197\n47857 96154\n31779 46790\n24547 40335\n13627 40342\n20148 99090\n49478 79295\n12251 16235\n11515 13620\n37132 50810\n43769 54959\n2414 40914\n28440 42189\n21193 61696\n40142 89562\n54343 96840\n20947 24466\n2583 58312\n16861 94314\n31537 66982\n2715 11305\n49659 55728\n27413 65073\n9750 91809\n25124 65240\n223 4382\n32825 89359\n11797 84268\n23133 40182\n30643 98401\n75429 76825\n38192 58227\n20855 72554\n8966 70467\n21347 27814\n2093 6349\n37570 58953\n43564 55125\n12579 28361\n4443 7732\n908 14879\n36843 42635\n41595 81947\n30048 78395\n17080 82789\n52393 91079\n28197 73106\n21634 59663\n12802 72439\n74810 88038\n5859 69304\n4066 86514\n61671 82138\n13520 55494\n23135 97170\n20507 31224\n29939 98292\n60678 70979\n7591 89881\n4110 63671\n38686 86048\n34781 35937\n42020 76110\n93015 99643\n15173 22662\n463 75914\n37926 99445\n69328 84713\n46332 53798\n47065 50140\n39799 58341\n39656 95480\n16828 95556\n5005 11297\n19252 80507\n72199 93870\n18746 44792\n75335 77327\n31947 37016\n23142 97275\n8449 16666\n29944 93880\n13530 60286\n15347 91775\n42726 85508\n24636 75675\n26626 67903\n58433 77203\n364 34658\n46445 90622\n24433 92861\n6311 92583\n10384 76662\n20022 53058\n29071 29534\n15282 28500\n64786 88099\n57814 84785\n55377 78915\n23020 52905\n73352 87734\n61939 72588\n11355 82243\n49130 80917\n13667 29840\n5320 62521\n64278 73175\n7685 42564\n39643 79062\n35236 84154\n45441 68629\n63030 64529\n44765 76428\n62751 74007\n8270 83193\n47952 68847\n60865 82195\n10742 22443\n20813 96817\n15792 90442\n59886 92697\n58494 74755\n1802 91655\n18876 38501\n16764 50367\n56722 61384\n71232 78352\n12222 96061\n58571 95971\n80309 88223\n6851 30861\n27618 99726\n27669 95471\n4303 94007\n47107 70800\n31846 57247\n74172 78006\n76689 99041\n2197 78771\n5095 47685\n19857 61529\n33147 39115\n12021 21966\n48385 74034\n8546 61784\n30951 31433\n10077 64302\n16133 84311\n24471 25256\n41622 78566\n5945 49051\n19260 63512\n26471 40211\n70012 70026\n6221 24403\n21979 50854\n22445 93498\n10205 34064\n35462 51461\n40473 71815\n11318 55952\n7320 86456\n2532 28131\n13227 18086\n16868 34135\n30871 84841\n38435 64343\n33723 40303\n1904 16590\n52194 80137\n36429 94608\n70678 88048\n16202 35528\n5189 84617\n29483 93569\n17506 73170\n36122 80761\n22745 66160\n47630 56559\n21379 74574\n30940 69173\n11657 20829\n74345 76165\n19211 68174\n3185 23742\n34001 70096\n34162 49113\n12476 27600\n20327 36341\n22198 61390\n50428 52284\n41511 66656\n19378 38787\n35495 62488\n12442 32744\n29740 42641\n32954 35403\n4479 61940\n23137 81087\n32139 70774\n35825 65281\n47184 98303\n29201 88626\n35616 93225\n41734 81000\n118 30217\n26505 75830\n78731 89133\n25059 63412\n28138 69364\n76870 93964\n63498 63526\n17021 40780\n4887 91253\n23568 50633\n42344 69174\n77757 91673\n20156 93106\n5521 54534\n67866 94431\n49761 81025\n25686 67899\n38388 93200\n18949 38434\n32548 63411\n11890 73443\n42592 50035\n16745 47634\n69846 99916\n24237 63776\n2404 15630\n63061 92650\n28967 55467\n51179 53116\n33637 85343\n55197 56390\n21173 46960\n45757 84988\n69011 81870\n8634 31482\n42565 91839\n50552 98319\n60595 64416\n46751 80812\n61161 64436\n37900 53243\n26854 68619\n25427 52228\n3215 35527\n93622 97605\n18056 63848\n342 76231\n60536 87580\n25594 66248\n31065 31302\n29156 30953\n57561 74616\n8731 41937\n22546 70921\n64426 85990\n41736 60881\n46609 79796\n46296 97727\n29998 82717\n49713 92527\n7902 36030\n30651 33057\n56560 66619\n25125 92783\n2577 80844\n26255 30724\n9123 73136\n5084 32849\n74310 98790\n57096 83633\n84079 84193\n8193 78384\n26903 61453\n81013 95135\n2154 19749\n59587 74798\n3692 14720\n59658 92489\n10592 31933\n18607 68913\n1411 98547\n47684 68066\n75608 94800\n49672 90699\n19619 66475\n17839 81971\n29513 63168\n20981 68140\n12878 57374\n8818 19613\n53381 95514\n10737 43925\n645 52129\n3582 47134\n41764 87007\n68136 91041\n2042 92788\n12300 43704\n4234 82893\n1574 53388\n60243 97025\n27065 84646\n48270 71983\n11193 87890\n52100 87433\n36603 82927\n49942 90808\n14112 96312\n38866 86485\n45978 71432\n3608 13217\n2332 89820\n7880 76257\n57088 76004\n42587 54435\n38771 76976\n18483 82988\n7902 55225\n5528 16742\n39754 94165\n7957 9960\n39091 46730\n4283 57094\n5498 82360\n10837 63004\n3375 58935\n74024 93732\n56771 60978\n15635 45060\n36624 91119\n31308 58067\n10098 15819\n46477 51037\n64421 82539\n29375 77227\n28697 62822\n10949 60802\n22815 81991\n50668 74029\n10799 97575\n71137 88094\n22198 25145\n78570 84458\n72618 81757\n37328 53289\n39194 82849\n24546 70611\n9704 56093\n4173 60496\n11400 42477\n5457 99587\n23594 31535\n59365 98821\n10615 77046\n4273 12632\n14916 66668\n56732 80643\n42539 93083\n86869 98536\n21138 27525\n20183 29255\n34198 61442\n54170 86852\n28151 81874\n2914 35113\n2678 27640\n35470 77627\n19873 91579\n33314 88545\n29224 83354\n42189 50178\n48564 50621\n16841 51251\n19453 76735\n1940 81550\n11461 43830\n55987 78762\n63093 89057\n5469 10836\n67801 78141\n5448 87547\n41228 56361\n93035 97688\n55807 72543\n43326 80756\n19393 19916\n15545 24478\n13476 52474\n21835 23500\n27587 39313\n29731 47403\n11813 76089\n7256 49165\n8083 76930\n1709 41588\n29915 37797\n49943 86047\n5615 97004\n75727 85645\n11111 72602\n32812 66335\n56526 69189\n65222 98744\n49693 69141\n15679 99487\n2741 29090\n3581 21614\n12257 60363\n4808 89659\n49374 67995\n39779 42504\n19680 74103\n28517 49440\n77424 81179\n60223 75025\n36512 61564\n6992 9429\n96712 97826\n85888 96450\n56579 68466\n28293 48300\n25272 96282\n48494 79116\n73712 78872\n48307 95062\n20124 71229\n60656 83595\n30080 42522\n8579 47314\n41897 92004\n7410 31291\n35677 49244\n11135 49316\n13060 78653\n6499 41045\n47068 69346\n9020 72626\n41114 67075\n9449 22419\n4845 78717\n42956 62834\n17623 37830\n43050 99185\n8876 35412\n29905 97616\n26092 58623\n212 41109\n172 90224\n37041 96530\n42441 71151\n27320 37293\n6190 81400\n15121 58432\n48957 62418\n8646 91165\n4872 26160\n71169 75635\n14200 55595\n40220 55418\n1668 16649\n43683 64244\n68654 69625\n39754 92678\n76324 92252\n434 64503\n36619 42589\n84442 88316\n32579 68206\n14648 55765\n32916 85772\n53293 55102\n42434 84711\n8191 63567\n90855 96273\n28269 81209\n28137 54189\n77571 79237\n10458 51234\n37196 59329\n54159 58180\n60519 76554\n18037 34074\n56514 57525\n97438 97893\n2032 92281\n36808 80325\n79790 89037\n26310 72464\n20046 36367\n67085 97828\n5372 92976\n42098 66528\n27991 30350\n95842 97343\n13267 65354\n40696 51311\n31041 85333\n39053 83287\n35294 89497\n57198 81594\n2312 78560\n24619 84923\n69478 72806\n62434 79377\n27483 89723\n54362 68760\n58915 77777\n3384 43884\n79530 81184\n75744 99188\n50553 98146\n30744 67494\n86152 94686\n93720 95206\n3353 21393\n25564 92631\n46209 66707\n34942 97991\n20815 47618\n41721 76681\n57327 91139\n24633 93063\n10551 30081\n37201 64994\n47576 80340\n21406 21915\n45000 51650\n10401 93184\n153 92068\n17692 35850\n51903 85279\n9138 94869\n52727 63694\n7877 62948\n10407 90195\n43591 86159\n51901 83836\n26828 52008\n56389 95403\n35975 37793\n8810 45286\n23245 59638\n33060 87104\n39708 65471\n28862 57796\n32441 77079\n18462 47371\n9042 94785\n43822 80204\n42181 62229\n11535 25510\n9151 20623\n6574 97247\n11028 83269\n58610 81685\n13635 25368\n3325 76382\n27392 63524\n80198 90278\n50205 79812\n6643 45603\n28148 45140\n30370 74795\n3537 74121\n62491 94596\n63406 97452\n42037 65241\n25270 55113\n1744 43430\n80438 87421\n84153 95140\n21863 61330\n27124 87977\n3121 10717\n50755 69369\n27198 43848\n15656 80010\n25713 65070\n23382 71062\n46147 72902\n45868 73334\n2010 64328\n60258 73033\n30111 66173\n48015 85012\n48208 87489\n58731 97139\n32118 71488\n17640 60514\n56026 95595\n76870 93962\n36097 38273\n2741 28936\n29327 58862\n4231 52622\n20097 57672\n26242 83994\n39816 45602\n10778 44754\n51255 94147\n24568 29544\n20874 23307\n7141 36218\n4846 87645\n72915 95662\n7171 58312\n18778 78602\n18313 63413\n48731 76696\n31838 36547\n8228 76059\n46992 90278\n55500 90377\n12937 94229\n27152 30389\n2030 92716\n6094 65192\n88022 95473\n29225 61094\n25069 49512\n28785 65670\n52269 83453\n8960 19934\n23443 44205\n64687 84796\n31977 59947\n15783 68948\n61589 75695\n66408 87849\n17710 79581\n47773 82989\n19688 44644\n63096 85094\n38686 44195\n49832 98673\n72400 84632\n39939 45318\n74835 87937\n15952 36063\n19632 87708\n24639 74262\n3009 79072\n11522 21553\n28926 47424\n31782 95985\n13986 50856\n32516 42987\n1376 39666\n5727 24642\n17241 30276\n31129 52539\n50298 89238\n43238 72073\n14955 44217\n5253 19382\n5216 47014\n32263 96940\n46248 71052\n61881 86789\n21697 60615\n69861 84613\n2195 99518\n39033 57952\n19918 72483\n48415 49046\n1419 90808\n3196 21937\n18693 20862\n71527 89949\n5288 66911\n524 76846\n70568 73567\n7445 30179\n148 93367\n48527 69160\n88226 99758\n60050 89524\n53449 54767\n3082 73898\n60900 70821\n34885 92336\n5547 98848\n10113 70639\n21831 71382\n13422 39590\n24074 61912\n49725 70550\n6280 9677\n19237 20692\n21348 57891\n2737 11297\n9672 96010\n36778 39087\n53850 86653\n73432 80105\n26865 86171\n10276 95839\n29597 91474\n12862 61401\n14470 45537\n16455 82372\n50541 95132\n5646 26855\n27553 53505\n20512 45811\n6799 73267\n25861 48338\n12540 68921\n20977 55358\n68658 71771\n56197 98458\n1259 12621\n62738 86142\n1374 94371\n1995 25933\n7131 8388\n59244 82385\n20221 93473\n19543 63630\n13189 17045\n23684 36663\n52927 81917\n19156 82191\n65435 91079\n27199 35733\n84858 89032\n65681 92147\n8983 92054\n51456 54621\n21399 49359\n1044 1416\n17976 27382\n42112 64296\n24748 92606\n16504 31607\n37565 88375\n42334 92482\n44293 82235\n4416 18901\n40501 92738\n39470 54654\n25391 60172\n20169 60845\n94360 95019\n82104 85071\n15531 32525\n47988 91188\n27519 64226\n19225 64277\n8496 31565\n23043 58675\n11711 21665\n62111 90628\n41543 69363\n54491 58967\n48779 53702\n7253 71191\n35152 86523\n1448 14951\n37724 41571\n18596 96198\n6748 92872\n65287 97001\n71922 77654\n9663 18476\n45908 88017\n34681 87591\n15883 67045\n26705 85444\n17896 35955\n78018 80429\n27917 97320\n58105 75649\n45221 50555\n37486 88619\n1376 73455\n8315 68821\n43730 67523\n32694 80458\n16557 33417\n33924 90672\n40934 69113\n58121 94064\n34562 40933\n2890 65643\n22971 59689\n22168 57849\n2597 69905\n60135 89280\n50070 87907\n81224 90863\n38187 82293\n12068 75370\n34687 56540\n36994 89780\n58618 74892\n63529 82418\n20704 63392\n84909 96424\n401 81985\n14608 89031\n45723 97526\n13288 27835\n30454 97650\n20116 60802\n34039 61212\n62522 62729\n43732 87369\n79920 93766\n4540 21093\n9037 61267\n43319 82420\n6729 29734\n35833 73235\n9529 54908\n45285 57698\n37191 56349\n48195 61983\n21509 96791\n63425 74881\n48122 89901\n11617 71323\n18448 54154\n65555 72891\n3386 59483\n11614 22771\n40050 96791\n54784 78294\n64248 90295\n27710 83444\n42468 91290\n6920 71547\n56726 85916\n8643 31736\n3856 3892\n14763 18407\n4283 35081\n2488 51585\n23048 59478\n67456 92690\n12548 32919\n55315 72261\n25042 30591\n2502 87765\n59141 98781\n30827 62038\n40549 88396\n25156 50128\n23493 37419\n77303 81365\n50001 82281\n64518 94057\n8851 86513\n32356 44575\n1236 39270\n50999 92150\n51480 57940\n16966 43663\n17818 94858\n36219 62481\n12988 36635\n4048 98020\n11594 76528\n20535 40716\n1776 46807\n12407 86122\n39943 63287\n4616 87886\n46998 76044\n55773 99190\n36308 47564\n232 77083\n14373 59544\n67075 84806\n8900 22713\n16031 67512\n42069 72035\n74074 77165\n27777 79173\n67447 95753\n14772 30229\n8124 69871\n22668 46199\n1180 73426\n38871 56484\n42147 93807\n36092 42286\n17298 84859\n60688 63045\n35332 85769\n38644 89291\n49551 92605\n65133 92117\n16959 57202\n63798 79553\n25045 72837\n13828 40094\n2330 44831\n63798 90755\n31360 42661\n12620 14149\n22743 68731\n20449 59660\n4065 55045\n41810 66441\n316 35040\n75388 86849\n44723 91655\n31575 74037\n56737 77161\n35413 60213\n37440 46371\n47854 78995\n51416 66903\n48036 71500\n64604 83849\n38393 92880\n3816 97262\n43214 94964\n58800 89918\n57812 99791\n62681 85813\n13997 81133\n45679 78101\n55173 72557\n14282 54814\n20993 33108\n7880 67207\n9477 59260\n48959 84449\n39290 89698\n10827 68147\n15888 88947\n38129 91147\n34568 37819\n57329 72991\n12972 67372\n65332 84203\n26362 62084\n32370 64433\n25983 40555\n31695 86214\n75147 98515\n23329 28074\n3175 46792\n20580 76319\n49423 68516\n32715 51839\n31245 67894\n42082 93781\n13645 84096\n27082 68691\n28253 70617\n52963 76228\n7185 22706\n55648 84233\n42484 54740\n6510 16648\n17390 47957\n32341 51495\n23919 29894\n26511 96153\n1744 42578\n72161 93798\n15314 88222\n52132 95859\n72467 77751\n32701 96738\n71480 94568\n67397 74964\n28157 40496\n9745 36017\n51605 54273\n53938 88700\n7055 25616\n56792 57509\n40330 69602\n20659 27217\n24165 49523\n1953 74442\n40419 73635\n23794 82192\n849 31121\n3367 16358\n2400 7111\n35998 82547\n6177 48594\n48451 87242\n70022 78057\n59623 99810\n15234 28555\n39203 51486\n32138 94163\n26620 98057\n20979 44248\n14387 38290\n44637 50695\n5461 23043\n44195 58051\n11578 70186\n4552 29786\n38292 55490\n68602 98631\n40671 96709\n42956 84391\n25031 40633\n45500 75999\n16487 47470\n54688 87845\n81505 88102\n20333 94926\n54413 84197\n695 62397\n16966 98107\n68573 84325\n80493 99412\n54417 66113\n26364 55128\n52039 70494\n26217 50874\n31392 44582\n8397 48940\n15253 99108\n79174 81230\n39800 89921\n36891 66469\n199 52408\n15017 42305\n7212 68072\n23293 46242\n7223 67766\n79412 80104\n56164 67916\n54944 58292\n80954 83403\n43227 78125\n11838 59014\n6245 55577\n83441 88922\n57737 84594\n43562 58482\n44435 65030\n10227 20757\n34718 39569\n39633 42922\n8688 43245\n14752 74237\n48719 60013\n1434 54495\n64082 65632\n8248 79669\n20012 65274\n16050 38611\n18545 24811\n9692 42922\n60342 84118\n55773 58331\n93421 97556\n77626 86779\n41437 45929\n37041 66210\n18837 30170\n49644 50821\n53660 56152\n46196 77383\n71030 79734\n29309 29729\n85930 94574\n45571 88468\n32940 42873\n21029 77991\n31113 69610\n23967 73708\n84880 92145\n22199 28712\n54602 55576\n15041 61872\n53359 66725\n88875 97020\n14151 59772\n12733 51394\n50946 62479\n16771 43864\n5409 69662\n7584 47199\n19473 70578\n24052 68997\n7357 12187\n12766 24630\n25055 66562\n21090 59753\n37093 68625\n5192 7794\n63361 67041\n6878 65336\n14715 47198\n91141 92065\n5112 37342\n43793 62201\n35462 68433\n69155 87447\n76112 86933\n63869 72482\n25194 97959\n27689 99051\n5750 85009\n84714 97407\n16142 86167\n32536 35511\n36013 95846\n40268 85959\n15699 63233\n55208 56063\n52484 55917\n17764 97134\n40723 99323\n11553 34824\n20693 87722\n58096 73020\n14787 74196\n2660 87679\n26722 75555\n56978 78119\n35542 98035\n33449 84404\n53612 77227\n267 53706\n27659 53748\n56416 58233\n45761 70929\n43381 44888\n891 33797\n69041 88912\n78328 90379\n51506 89237\n26554 80393\n65081 79906\n6208 30608\n16335 30191\n18302 79342\n19122 74257\n32056 91534\n22806 61680\n33519 63276\n28435 56692\n30265 43032\n51138 92379\n76104 86973\n8438 27552\n5679 26300\n61508 73606\n4289 17753\n12022 34144\n22985 91948\n39225 62772\n7839 50103\n21787 86459\n26421 48856\n13593 14700\n12930 88607\n28259 74761\n45270 81528\n44231 91666\n39920 91260\n52350 90170\n13537 59067\n75773 84147\n40531 68023\n36489 77232\n14968 97332\n72302 78875\n71694 94317\n62650 74192\n14638 42863\n14697 46445\n27315 87996\n71603 74674\n70720 88283\n64663 66089\n32993 38158\n39130 48890\n27926 75162\n16853 58593\n17122 40322\n22796 39582\n11124 20456\n28031 43026\n3201 7343\n27012 83426\n13468 59765\n21877 33069\n3914 12472\n11570 73059\n40990 96528\n15946 68204\n66211 97456\n14255 36909\n78382 86841\n13133 63969\n70739 96686\n25169 78355\n45436 74183\n9822 33853\n46958 87497\n54623 60176\n30426 68061\n7904 53075\n9171 80825\n60752 91609\n4572 38024\n2241 38113\n635 19739\n61324 98207\n13869 53275\n3320 35025\n53020 88127\n61843 92161\n47638 97954\n27386 52336\n11319 66554\n12022 88059\n2072 92813\n771 82990\n29911 45350\n53348 92367\n40092 58282\n23477 44824\n39108 59071\n67644 71366\n72223 82279\n4686 30493\n41316 86896\n13770 45382\n22513 86952\n31951 80049\n38765 74633\n7133 84746\n34163 96642\n30683 88345\n23603 42146\n804 43332\n273 36890\n20227 87434\n35871 56196\n43119 67169\n7415 56953\n813 6895\n39320 45084\n5814 15601\n29476 66206\n28920 54560\n26259 55808\n27910 71871\n22880 85351\n20565 24605\n6753 33333\n7700 38391\n22674 28038\n13141 60264\n33805 43432\n46062 95526\n58779 93835\n6465 21320\n5972 36695\n62430 73011\n85366 86349\n29723 44997\n25978 88689\n19426 37990\n43930 49832\n20986 23327\n47634 63826\n72520 78119\n7271 41590\n19407 94561\n7382 68834\n60886 63603\n28837 96350\n38671 89420\n19113 34776\n61541 70246\n43262 93972\n24187 42006\n18560 52920\n46465 79251\n12546 98179\n67523 99741\n44456 68622\n47368 49692\n50327 66667\n27105 90737\n1924 88945\n15245 57786\n48134 59452\n54013 60380\n69598 72648\n4752 90906\n36610 45851\n43358 86816\n68733 78793\n73843 91020\n33011 72256\n53035 83313\n52870 80150\n7013 24549\n31029 43747\n15866 47397\n16621 84763\n28384 95904\n54881 90692\n22230 54660\n22534 82118\n46561 49702\n56179 60989\n40985 60872\n26885 32403\n11345 96577\n9037 76805\n26954 55872\n33849 76094\n5300 60392\n14108 64938\n53215 59350\n44906 51178\n69294 87382\n393 82229\n49687 64911\n94776 96418\n10387 25819\n54534 75525\n16830 73571\n7519 65119\n7539 52372\n28314 96444\n7440 97339\n18203 87031\n40358 71453\n58781 96174\n49646 62172\n74109 85175\n30948 31656\n26187 75862\n70482 79017\n2901 69436\n5142 27671\n79151 88112\n10175 46567\n21548 98773\n49309 89810\n26585 76172\n45632 83536\n46309 84546\n2761 86162\n48425 56983\n10672 81847\n83742 87299\n18756 67692\n28051 37210\n66468 80303\n15689 52169\n32388 93275\n12947 35761\n45100 67255\n37309 89327\n22594 84922\n13857 51555\n13559 57540\n2347 50787\n47683 94360\n20938 45327\n40800 66588\n52734 95514\n57654 58731\n39363 83529\n55657 69820\n14623 49118\n66456 68799\n80725 97296\n25555 55325\n60879 69628\n1969 15714\n97541 97770\n61399 84469\n56320 59439\n58794 78287\n30991 60182\n50099 80948\n12769 52626\n20552 80599\n15661 93549\n11691 14397\n76207 83723\n15893 65071\n54969 94144\n16900 70055\n81744 88748\n78637 99764\n38768 84722\n56312 75627\n13719 50567\n90297 95084\n23914 87813\n39365 51368\n24461 36085\n18371 90931\n19076 65386\n36509 89441\n20551 67934\n13734 15707\n41261 47543\n35382 88052\n23052 53161\n35117 39890\n71186 97217\n8369 94615\n73190 86424\n35512 90967\n74492 75443\n21375 35015\n30207 78545\n49771 83374\n43795 58008\n39349 44931\n72421 96000\n4935 76250\n58511 86765\n79124 84862\n57126 72424\n30291 98062\n64675 94658\n96009 98822\n23129 76052\n38679 91893\n47785 88669\n30635 65286\n10932 57589\n68417 76431\n33914 89854\n21642 78233\n15439 43513\n19303 91010\n22602 27272\n44169 69667\n18383 34876\n15677 78160\n27615 77982\n18214 41500\n4277 57311\n57422 58712\n7519 94738\n4074 43213\n18736 37395\n22172 68978\n44060 68549\n30759 44423\n26552 40812\n72872 91729\n20389 88535\n53524 90711\n1171 57526\n81371 81464\n25818 38670\n536 86822\n9392 50408\n8969 41347\n9718 32028\n56268 85839\n16169 72250\n69141 96962\n68231 71304\n49187 55320\n57853 82657\n55649 84203\n24343 53793\n49703 68742\n19889 21503\n89636 91243\n2661 25791\n53471 88273\n26990 97506\n38107 82981\n82609 98368\n25865 50889\n39112 86389\n21501 45337\n74333 80968\n20761 76348\n48854 89118\n65 92173\n11796 43571\n63878 68787\n57182 92722\n18728 93156\n12956 83987\n56618 89865\n24123 43307\n8151 96406\n59282 66458\n12913 98751\n20916 58519\n28425 88507\n35310 68120\n29334 94632\n21471 42873\n83015 92803\n16079 66624\n45208 92267\n46645 78397\n11749 20543\n25644 96708\n78209 92363\n45110 89596\n51781 76732\n71796 72834\n5364 30205\n46826 92118\n9684 28572\n63503 99806\n107 99066\n33499 96492\n39717 91697\n48361 89009\n53232 67009\n31301 45960\n33785 53916\n44226 55936\n36033 47242\n489 22820\n73874 95550\n74929 85226\n7942 70822\n47362 50895\n29152 41089\n51346 63965\n44881 81749\n29814 69178\n66039 70170\n2402 53955\n14363 40336\n56524 67966\n91950 97439\n37588 61097\n43318 54909\n4729 76494\n86450 97228\n80950 91624\n4670 65147\n73802 87814\n24514 90537\n19843 61076\n83050 93936\n87524 91977\n52603 71734\n41574 93170\n8237 28314\n19699 96198\n76414 92935\n51803 64904\n2501 35301\n2311 83848\n567 49116\n15473 46741\n15236 97232\n1906 61765\n1313 16142\n24897 50769\n26233 83545\n63833 74115\n26723 58430\n33746 37016\n5835 41872\n15645 54861\n8614 76740\n17269 82087\n25527 39673\n26730 51107\n8772 21688\n39527 41463\n17812 40194\n89623 98057\n19901 73321\n474 57459\n29673 59778\n31619 49873\n48056 99521\n15095 95010\n71428 79032\n53118 65845\n30210 65043\n4405 54273\n60948 73231\n57827 60834\n35153 45633\n20075 30911\n2825 87362\n17056 94426\n3466 82542\n4295 99647\n27429 67507\n48702 64802\n50011 82795\n11920 21381\n67549 88130\n9805 54162\n16714 57897\n42152 96098\n18658 89937\n75882 96917\n12149 66969\n6692 84107\n35955 99618\n74350 94974\n80129 81762\n76567 78533\n50208 58378\n41781 99060\n93058 94017\n55642 63516\n48699 86898\n15474 50120\n68633 96642\n14878 90541\n5830 36854\n1144 59104\n26195 62974\n35955 37576\n45988 66989\n35077 78052\n47609 75346\n19630 81959\n17901 85240\n289 60633\n16216 55413\n66151 99938\n34662 51689\n49844 67955\n13756 55303\n29461 41439\n27284 68088\n48928 91125\n14552 95538\n23748 46856\n54702 65500\n7659 23192\n27123 65475\n10442 84137\n7560 26686\n39185 80874\n47738 55341\n34795 69542\n9523 82217\n23200 27917\n52003 68404\n2352 17083\n19807 36118\n1291 78912\n65310 81971\n31011 31169\n2472 84155\n46703 56190\n40753 52530\n70312 98488\n10854 97620\n17692 77377\n14973 27435\n43196 55931\n45311 70306\n9760 33668\n31019 70181\n39083 64339\n7332 80461\n55445 60278\n67251 85615\n4682 10943\n12491 55704\n34291 41254\n12101 53665\n31864 91226\n16815 78124\n7698 79997\n68469 72722\n37040 91648\n35598 71291\n4525 24152\n41827 76307\n13227 65637\n35269 78518\n31906 87244\n17203 32902\n39797 87543\n79346 90341\n312 13112\n16683 61062\n53771 62014\n25868 54773\n46301 82087\n39426 85815\n5570 39260\n14019 51032\n76390 99577\n25217 95692\n15401 17980\n56237 75306\n23827 86338\n2094 69768\n45797 97512\n42680 47855\n70187 95235\n75405 87048\n68783 86146\n23388 59823\n2821 70695\n11320 38184\n15658 26507\n80734 85695\n73927 87916\n17300 51593\n30840 83247\n61993 91142\n32028 97995\n89592 98325\n9081 35844\n13117 20801\n15344 22976\n52311 58648\n56391 71163\n51036 54620\n36322 59432\n25066 34848\n47847 99070\n14414 49606\n54802 66468\n31666 92198\n85889 88292\n4573 47903\n23821 48065\n46091 60469\n4046 16280\n75568 78157\n63046 78596\n66705 79493\n5064 65852\n54346 93186\n41456 50749\n49417 51698\n70282 80351\n26612 76772\n57564 79110\n27359 88543\n289 90899\n21884 82943\n3164 51101\n42611 55807\n10496 13075\n4667 41374\n30297 84430\n19518 55271\n3518 60086\n61654 84055\n34392 55013\n26416 42955\n3737 56626\n19125 85045\n81457 99491\n4326 53721\n34453 95418\n2729 24091\n20470 68972\n7711 9663\n91745 94807\n6829 9295\n14420 20926\n10719 85230\n26521 81007\n8167 78280\n42151 77130\n21039 33783\n29477 52959\n26069 45680\n48909 93141\n47950 55568\n14706 49527\n85135 85461\n1317 84434\n56179 74623\n4842 85059\n31582 66972\n28495 68616\n1187 5081\n26874 90965\n5097 35152\n34210 40435\n30643 58223\n36158 94116\n67648 80955\n9057 86301\n32088 64811\n69415 92365\n10693 62340\n75327 78395\n32680 67891\n19571 84313\n4234 86637\n57935 69888\n77554 96569\n3137 23599\n38719 75194\n13578 66410\n56491 70665\n29655 73439\n89806 94761\n75253 98569\n38944 40662\n64055 88689\n93793 94700\n69597 75524\n25669 89879\n74168 96212\n33669 77146\n37331 53882\n22754 32813\n25356 36614\n1776 87381\n3094 67248\n21874 37421\n8446 8813\n4482 31412\n55818 58217\n5109 18815\n33493 83693\n31048 31797\n61841 94538\n50045 76077\n7698 11895\n24302 59895\n6428 23278\n2336 14073\n4005 53915\n19010 51794\n653 28557\n31283 61183\n13000 81017\n20394 46400\n13033 29953\n66505 74260\n41348 83300\n82131 90966\n25882 55661\n37435 84533\n14666 50391\n9008 81392\n6269 7318\n15193 31321\n2382 48354\n63568 97213\n35037 70093\n5943 70878\n85032 95465\n53085 90709\n21625 51561\n8499 26228\n47110 52286\n32126 95273\n51173 56254\n19369 71747\n57725 96897\n2482 69958\n74788 77649\n30048 89880\n15467 33127\n963 34041\n10707 24052\n42350 63797\n62412 77864\n3282 20112\n16115 71100\n51009 84229\n20561 59007\n45401 50461\n25150 26727\n467 59356\n8994 64270\n75240 78871\n60486 64591\n44340 60946\n41265 45605\n45365 65866\n3371 17600\n22452 89802\n35441 44715\n62303 66887\n44305 73604\n68457 83970\n14990 80889\n26496 52411\n25176 28290\n42677 51393\n62033 64697\n26308 36762\n16436 74619\n4269 44482\n16545 76396\n43640 61116\n54391 59956\n34868 99083\n83858 84389\n60371 99888\n76818 84983\n49628 53506\n7514 78278\n42173 86156\n67251 82411\n19198 82696\n15211 61242\n21478 65129\n78569 82837\n37355 47474\n18454 41984\n8480 20100\n48062 72251\n14588 94166\n17181 84319\n77017 88297\n3000 87151\n51003 62175\n53190 77595\n68088 69867\n8522 26938\n20270 92569\n55072 69429\n34901 65226\n16265 32664\n30748 37353\n32313 89789\n32730 63524\n68606 78079\n6529 26448\n13771 55704\n1001 75921\n54224 75307\n14606 34431\n61400 93297\n20697 34957\n90594 92983\n4227 33058\n9772 88373\n872 42607\n26586 51150\n23539 97168\n5400 81795\n46903 49721\n10933 30802\n10587 78633\n11255 25935\n32764 68982\n12125 63185\n30835 73704\n61875 83675\n7063 84376\n14928 58067\n4632 97569\n26559 51604\n27686 89285\n15661 59706\n92851 94963\n35988 74262\n24008 34602\n24235 30283\n40651 63470\n4974 26064\n32676 45616\n4981 51465\n21004 61462\n90739 98743\n80809 90354\n79353 87444\n61969 97071\n15594 63587\n4402 72781\n19223 32247\n63337 66752\n29419 41335\n44553 57100\n10380 85559\n33713 73635\n2525 99212\n48340 49056\n46640 99523\n90206 90756\n9718 81172\n45109 67001\n40410 64660\n45398 96731\n57402 96877\n1375 72300\n10013 75275\n4392 29327\n25352 55601\n3548 41675\n90737 94302\n39400 65594\n13842 89440\n38900 92397\n65229 74298\n35636 88389\n43534 47978\n5942 95181\n16660 40853\n75993 89315\n27312 59450\n95271 98869\n9381 20557\n40707 86041\n5070 80287\n7237 93629\n5387 23496\n37288 38989\n75779 92911\n38112 50895\n15679 88591\n28515 33812\n60182 88587\n1122 53654\n3140 26673\n82475 88694\n51319 63880\n8987 95826\n3660 47769\n76298 83852\n43315 98804\n82957 89979\n7246 79821\n19717 20719\n23427 61629\n39776 98017\n49950 95807\n22261 29323\n2747 29462\n1510 76246\n26683 51327\n15411 65415\n41666 93304\n2230 69631\n6965 98286\n68547 84297\n87373 92411\n9492 66284\n51775 80982\n16130 47652\n22612 41101\n3758 66804\n41407 86425\n13537 87179\n2493 7085\n66740 81264\n58587 59885\n14701 80157\n17551 49061\n23117 50810\n9579 39737\n55047 93763\n37429 62101\n29837 69285\n32011 63193\n17664 80169\n20287 50468\n17631 55104\n14714 88138\n10480 82637\n25394 56662\n22789 51786\n51531 82775\n29163 51571\n2233 13674\n71432 81213\n48434 79612\n16135 87492\n49559 77317\n29273 64793\n37585 69376\n68995 80339\n14084 51077\n78381 94137\n12401 93889\n25234 78355\n63409 78751\n64552 88399\n17798 52748\n43154 69499\n68988 92139\n7956 79903\n39941 75257\n34661 98213\n45280 71193\n40317 68848\n57076 85651\n70471 96950\n62627 94226\n9938 84583\n4218 64870\n3935 45014\n9935 34765\n81468 97266\n81700 83405\n29706 54293\n50048 87686\n6092 9139\n27247 42366\n36814 76131\n53289 96840\n39174 42021\n7216 8827\n24947 47505\n19118 85843\n1279 91490\n8587 30590\n85375 97071\n29609 39178\n15032 72094\n82503 82948\n34146 95765\n9195 16827\n19107 57629\n36813 80294\n20962 87675\n15433 64782\n47273 59885\n19077 26314\n52769 79047\n28614 61432\n10587 61037\n21015 87614\n7280 32012\n56044 72847\n85316 92701\n59101 98682\n2190 39656\n6950 19847\n40821 53078\n27323 89123\n49681 78793\n13737 64330\n24090 74748\n45671 55508\n10292 31959\n77062 90652\n299 77726\n73367 82649\n67410 80056\n43133 70888\n73611 94712\n19761 85586\n17864 84342\n20386 98083\n18445 77221\n37911 66543\n7918 66240\n38674 74297\n25045 78879\n26084 83002\n50508 94134\n47373 76826\n29608 88117\n64454 85849\n48403 85418\n14688 72588\n50275 79545\n14473 34356\n85437 89405\n51036 68149\n27571 29771\n13985 34063\n65367 80341\n59910 77195\n1849 61653\n39745 63142\n28827 95613\n56393 84369\n31753 61337\n14521 50045\n42954 74338\n14143 62267\n54712 87948\n15562 67352\n48794 49210\n69321 94717\n20129 55162\n37890 80230\n17667 66261\n31283 48127\n62557 77583\n84069 98837\n24328 84184\n21102 33159\n35481 37070\n48677 56467\n78442 84408\n15140 41779\n17963 84146\n15071 57181\n48562 87413\n765 83333\n41858 84095\n60133 94781\n62211 82284\n43095 59676\n63643 85351\n5564 8282\n37902 55373\n17212 65194\n45935 65035\n5109 96939\n25997 85988\n39076 71610\n20650 33988\n91295 95279\n15128 85058\n66422 67306\n68227 92191\n60689 96635\n26019 38171\n20336 69733\n58697 70592\n11937 69178\n843 84683\n25042 41604\n9778 84224\n15116 79748\n1198 4429\n34695 84312\n54819 87614\n2663 75112\n74167 87790\n10954 71537\n35685 56118\n17908 28936\n70977 95503\n7882 39038\n10012 96429\n19604 77562\n2298 43970\n28627 36690\n29119 57692\n70789 85936\n2293 37375\n2489 5510\n60277 85702\n47110 80028\n3565 83728\n4885 30286\n33933 56176\n43983 89729\n75970 97293\n53190 89985\n26703 70294\n40997 52066\n25784 91792\n88273 98251\n52991 57182\n33335 44667\n46361 73659\n10579 81211\n63485 70610\n12428 69285\n24862 28445\n35088 86510\n46155 48262\n17978 95082\n14156 59823\n15140 22796\n22586 95548\n7273 86729\n81157 97164\n9872 21953\n72682 85859\n64814 64929\n43742 67922\n40431 81449\n13873 14593\n3728 54584\n41496 84423\n43721 84556\n7461 38123\n37798 42665\n27329 77845\n76292 93066\n20126 94387\n2355 9942\n52100 69659\n44429 48221\n16469 20804\n613 13011\n55552 65699\n34155 84748\n72009 76175\n69058 95869\n27721 37907\n9299 50963\n11043 27446\n26880 31412\n96474 98853\n34560 71250\n60760 97835\n17278 98278\n69240 75743\n34327 92285\n65580 87298\n82059 84490\n13739 31728\n937 91450\n70433 75223\n32037 46707\n12948 77722\n6880 19817\n16514 82033\n3109 75716\n49688 68903\n29164 52345\n88046 93406\n22345 47231\n22602 26287\n43795 63338\n87453 93600\n10098 50324\n19462 41340\n16772 28773\n1187 87942\n5797 14877\n57984 76162\n31772 43461\n69296 79465\n36674 97799\n27562 49555\n30860 69027\n9788 37252\n75288 97936\n86213 88632\n6511 47675\n1976 60764\n32593 83460\n78851 82212\n2267 39869\n4377 50343\n92179 96593\n58195 81637\n2792 50002\n29532 68842\n87893 90338\n39700 60367\n4960 93866\n25271 29171\n58093 83637\n61189 85068\n63413 79857\n20507 47711\n5970 89894\n23459 90285\n1276 52227\n9403 25854\n43451 48633\n46224 54491\n56078 83889\n85862 90749\n20285 77093\n7872 75409\n4791 50191\n16312 25172\n7159 48107\n42789 82709\n5509 86130\n9447 44416\n98156 99218\n16212 43832\n43228 78459\n45445 92760\n44953 79501\n41374 57388\n55938 66197\n64782 80960\n25516 85017\n58246 60299\n44236 51166\n47553 72824\n53239 54297\n4032 11562\n31520 85984\n74536 93717\n79189 88644\n68936 98895\n9276 79062\n11429 41995\n31539 52869\n3214 88296\n77437 89894\n33293 47420\n26768 66204\n59993 95575\n60603 98388\n18450 83388\n16228 70066\n30297 33100\n60734 99554\n84167 95596\n20158 27714\n19204 90710\n11938 47474\n24511 37483\n63090 94845\n35525 74043\n1931 15060\n29818 58649\n35876 90508\n31586 45204\n29349 75493\n18611 43913\n21568 97931\n20574 38357\n11151 25445\n57222 71127\n8364 94935\n50581 93426\n4282 73273\n26783 92667\n54517 58656\n5471 98251\n42880 57003\n19841 70214\n60974 61979\n22404 22720\n29234 66704\n9776 82042\n35293 37135\n29357 65116\n36367 89850\n73605 80787\n25253 42656\n46804 66540\n5009 11605\n28057 54768\n59203 88712\n41636 78530\n27817 53665\n49991 80554\n4837 44040\n67487 74414\n18516 21910\n10471 45458\n45638 71404\n27510 95284\n36697 72972\n3307 6950\n9991 72716\n26219 63111\n51693 79593\n52876 78954\n12251 94832\n78177 89406\n76809 92616\n2278 57379\n7856 82471\n4117 35235\n69039 77546\n94919 97550\n39499 79466\n84527 91355\n32499 81231\n7113 83138\n45568 87254\n45022 91843\n39404 90608\n12683 18595\n16922 51015\n70318 89751\n8259 80979\n44491 64129\n33202 80391\n17493 95876\n19113 23607\n63268 89921\n13579 61466\n31068 42333\n58150 95645\n42137 55208\n24671 42951\n69780 73218\n93462 99622\n35005 78487\n28832 83615\n18448 56212\n7759 76559\n30835 87350\n56027 68938\n20711 92064\n78382 83250\n12043 53481\n35910 75371\n64000 71398\n20353 33739\n37759 82335\n6905 90998\n11548 87178\n52645 77887\n11731 84391\n25486 44895\n60002 98508\n20533 30681\n20158 33006\n9416 54423\n21784 47507\n73451 97556\n27209 34531\n49813 54231\n65700 73174\n8137 63356\n24146 69901\n10630 85792\n30474 50112\n27114 36844\n9280 70493\n4425 43630\n79884 82131\n48835 56374\n72947 90627\n64930 85558\n23215 57103\n6510 74254\n1809 25533\n68215 79228\n26956 29954\n32546 88534\n10877 33042\n69247 85413\n56067 79686\n59759 93825\n78330 98102\n89553 89779\n45083 84615\n12217 52228\n75137 89558\n82819 91766\n57451 74817\n77352 80641\n44222 69413\n26693 49396\n28738 91683\n10088 80090\n11088 64120\n24445 60704\n67956 72490\n74932 85676\n43168 84209\n8179 74775\n12944 59251\n31389 59047\n23388 59650\n5609 17164\n5665 27633\n2354 82425\n33328 61007\n53909 87222\n44047 65709\n18517 56412\n76977 81924\n85208 88760\n2475 66609\n31260 76533\n40749 83321\n1647 37223\n56643 77690\n43995 84679\n67415 78675\n37312 42002\n41840 94996\n42097 59688\n93939 95414\n1596 48433\n52081 65281\n1608 31024\n5082 58913\n37447 79914\n50635 56956\n78892 89341\n11570 49760\n56420 66419\n70903 88041\n10279 87766\n79410 79413\n10529 96074\n35053 56197\n30580 57595\n46230 61443\n8145 51669\n28385 93713\n66758 80766\n36312 64119\n27807 60581\n11731 48629\n24412 71789\n50154 96771\n4541 14272\n4608 27822\n316 39616\n20836 60236\n40125 71994\n30044 82982\n26406 80493\n92848 94056\n50135 77394\n27523 69203\n14682 25832\n22143 44732\n27953 48598\n8038 39730\n26045 62061\n27676 81117\n19838 61865\n25715 90982\n63821 72246\n35856 77728\n3394 9863\n58124 88376\n53868 62828\n28816 32053\n1719 14654\n18247 55389\n47389 61799\n11804 75919\n1143 45963\n7387 72176\n24418 72507\n25984 39073\n27449 35659\n7038 44851\n55201 84765\n31042 95044\n1772 73279\n30543 78148\n86695 91375\n69193 99425\n47008 65781\n34470 66419\n48620 71626\n54704 88139\n46636 79512\n31418 70958\n46860 81554\n91579 94809\n24151 30000\n88892 88963\n73503 87969\n838 93938\n13730 24057\n22039 56333\n34585 76847\n56938 70801\n60578 81347\n81632 92474\n9967 59298\n16339 53495\n59308 70827\n31696 87790\n21456 26948\n62083 63091\n78460 97772\n30597 60113\n57301 77779\n9027 69074\n9879 16387\n48967 70086\n5745 24052\n81142 81156\n2024 58991\n8475 81631\n12323 73561\n8645 62043\n53531 67386\n32352 40306\n12482 18117\n54377 70360\n67562 98340\n26178 97333\n16661 37421\n31041 47199\n51026 84729\n68430 96959\n13020 47176\n9170 60347\n12404 46011\n20512 93221\n45723 71360\n14979 62716\n29023 39574\n18142 84906\n54128 60124\n60661 61514\n92187 92583\n15925 79428\n65984 93326\n37648 97524\n32073 77762\n19380 57314\n20275 54580\n16387 50961\n51913 87141\n25181 43722\n42359 83104\n6288 77890\n63165 85642\n24356 35962\n40717 82125\n23812 37052\n7915 34095\n43485 55303\n41869 57966\n4576 92086\n69094 99468\n36774 68433\n19204 64447\n8561 88468\n10373 32276\n70639 75108\n64203 83089\n12067 86478\n75084 87562\n48025 70002\n14716 44850\n29371 30616\n4550 39608\n58 60714\n70889 76869\n39538 66986\n65772 92393\n32964 76018\n11387 94607\n22651 90392\n52147 56310\n10194 63998\n50096 99593\n28750 41133\n12591 95566\n69041 86383\n64049 74829\n12556 53677\n22570 64092\n18187 20721\n3683 85042\n9281 35373\n22647 25926\n39170 99057\n65295 86475\n4947 83381\n49839 52390\n69459 91872\n38661 68691\n89924 99390\n26864 47343\n22110 55282\n33909 76869\n5007 17243\n36803 69559\n36374 67518\n8180 18904\n13851 57865\n24647 31032\n41709 46680\n774 69177\n39322 86558\n33499 42737\n26818 93882\n48022 67427\n44296 51343\n7382 69777\n25994 28616\n70594 82594\n54635 64848\n13203 18160\n27194 33202\n20732 39091\n980 41731\n54056 62090\n36884 70557\n20293 28551\n61211 70079\n8272 44577\n35863 83898\n79141 87493\n66152 69173\n36413 95402\n1026 26423\n40259 72565\n11884 12303\n22934 54531\n6105 91438\n26381 48287\n52407 64579\n41022 99580\n34928 78606\n45355 94840\n41998 64479\n23749 29235\n44322 88677\n37851 97093\n36222 81207\n14660 90364\n871 28369\n6815 97313\n47316 76319\n15942 26333\n54072 76580\n8445 90296\n12797 89393\n19707 69113\n29343 98019\n148 57106\n770 25572\n4113 86019\n13309 81793\n26804 66011\n9362 28524\n20283 51544\n56469 91550\n50033 71977\n5866 98274\n32695 63503\n52231 69017\n21820 23313\n52395 75377\n14379 16787\n4268 67220\n53119 57146\n39023 58300\n10716 38413\n22763 30318\n8421 30316\n3210 97800\n8158 64215\n21399 96568\n59965 64397\n10499 30915\n54933 67237\n33925 40175\n14679 77683\n21006 47355\n44837 56176\n18374 67058\n29124 36973\n40488 57436\n71626 98690\n57649 99735\n69175 85498\n77723 84532\n28091 29264\n26430 60436\n15667 42321\n6910 63180\n33467 62607\n70264 90229\n39222 55079\n36773 38989\n30137 50613\n4556 74756\n34037 64061\n38201 81328\n4471 34085\n26504 37551\n40599 45578\n56997 61222\n2979 90342\n14822 50052\n74186 98080\n10806 91443\n26348 32041\n52309 91072\n32828 85521\n55295 57435\n29724 98966\n14338 99316\n20691 72630\n20461 72957\n54952 91424\n38255 51488\n44803 72153\n2875 23600\n31880 42278\n63953 81062\n27380 40120\n995 40004\n13515 28006\n21283 61409\n3877 98658\n11013 80252\n21205 59022\n17131 71317\n71107 87557\n8912 92267\n13569 79731\n17911 32453\n60533 74660\n37283 93840\n523 66966\n8855 32687\n21010 87290\n28602 71101\n58653 61449\n27416 60588\n65771 98510\n67378 79556\n28068 56061\n48911 80486\n12059 93369\n48744 95786\n67097 68369\n69733 97158\n45412 70919\n34319 34936\n9233 90574\n5441 60558\n47179 47436\n16893 98353\n17964 69765\n17546 63075\n40204 63025\n42736 74995\n43557 85385\n24296 49933\n10452 24647\n6180 9590\n78636 93719\n54903 55169\n78155 95817\n34285 69544\n11014 93145\n38848 90622\n11137 94271\n10108 83583\n22808 99852\n29590 60635\n29420 81078\n61431 74333\n62396 68552\n65045 94168\n40597 50263\n29121 75871\n25531 52721\n46407 65222\n33782 64040\n3728 41588\n51239 86998\n2666 44738\n60397 63937\n15713 41231\n8933 12129\n66293 95466\n8429 76172\n48124 71664\n51150 91350\n29370 33046\n37332 65022\n11122 33758\n36125 42083\n60529 88269\n52505 67629\n65645 92376\n22442 58682\n43987 64604\n19159 62620\n52937 66464\n17180 63681\n37840 76929\n35118 64490\n14583 44523\n33155 87841\n15109 48364\n19330 79908\n46772 51646\n4097 8114\n54629 86867\n3386 77137\n88072 98685\n5555 69956\n35488 85926\n68967 92144\n75475 84185\n15897 26056\n79968 86448\n30065 57780\n74528 90595\n53395 76819\n24842 31099\n74893 75453\n62328 77829\n7152 53312\n14572 87849\n17386 93851\n13346 83856\n17390 56518\n41688 78387\n35384 73404\n73341 81929\n12649 92715\n30194 49098\n18646 78495\n36837 93457\n50320 52539\n37977 46984\n18500 20387\n39186 98325\n91199 94785\n15413 21663\n59532 76571\n50183 60332\n18420 66927\n38555 92046\n4703 64098\n49631 86029\n11267 68447\n4940 63007\n1129 40864\n24486 26731\n16854 26880\n11755 39186\n33180 46224\n35443 91095\n25866 29599\n25971 93006\n9298 95476\n43081 51607\n23048 40758\n43524 94117\n32175 68456\n58 32163\n47450 70837\n7863 93414\n46967 97050\n72481 77976\n18968 99832\n20687 26377\n69645 79973\n56103 63291\n52169 92352\n50884 94036\n50044 50405\n63329 80886\n83053 93531\n76105 93021\n7550 80521\n53563 77775\n16833 37721\n53942 69323\n62950 66503\n75420 92569\n24822 46922\n53185 66427\n4580 53642\n75503 76558\n21141 48793\n54607 59379\n14779 53807\n49474 77091\n10283 55467\n54405 89645\n62315 86687\n6454 81912\n52555 84175\n2120 89858\n27926 62454\n1879 95891\n38472 52886\n53248 67977\n64774 97469\n35371 55625\n72159 84780\n24846 44910\n1377 35789\n43775 49892\n17370 37962\n46518 92432\n42974 83384\n18545 63433\n54420 94483\n42376 92930\n64006 90028\n6873 23282\n4704 37418\n3782 74031\n4796 30296\n24954 85007\n19837 30955\n28673 53429\n62684 81060\n16020 43814\n87094 87542\n14048 24062\n9050 92701\n74746 85939\n21235 76323\n420 81587\n63976 80432\n25439 60178\n13682 32469\n63596 91255\n17094 39340\n31594 47867\n74128 81963\n14190 74318\n55782 66890\n22705 60003\n14220 17301\n68942 89331\n92646 98759\n9935 41021\n11687 16224\n7124 89507\n23230 62431\n2668 67711\n80274 82115\n60248 93734\n39831 42551\n3177 55125\n41539 71209\n35812 71586\n57038 67235\n43298 87803\n17051 63315\n54450 58006\n15669 50595\n47456 76397\n31013 54052\n80313 84103\n49387 69752\n45522 84592\n10419 88875\n17774 35732\n679 43165\n8148 67571\n31065 42144\n25157 52037\n18819 93532\n84224 89856\n12037 39915\n7685 18192\n22799 92505\n4914 52309\n36615 36677\n37411 37976\n52597 59581\n28754 51331\n53742 75629\n15156 54770\n10790 35265\n6620 35399\n20538 41880\n44959 79499\n31099 42835\n12711 26425\n74312 98937\n13754 41633\n4585 9480\n93278 94628\n30012 72999\n1099 64990\n12165 93118\n12975 84183\n2922 91187\n7221 75650\n35550 36009\n79469 92493\n7694 78452\n26857 78557\n23966 59029\n3239 95744\n46482 66984\n62038 98566\n10150 79714\n47413 90028\n10097 46937\n43654 94330\n19914 41556\n88151 89221\n7888 51890\n3581 89076\n75704 79479\n15548 29721\n78324 95529\n10624 79375\n65204 74590\n71145 89645\n3436 39453\n49786 68469\n67847 93119\n4144 22784\n19867 73819\n21413 72356\n12488 90799\n3579 8151\n52818 62792\n44517 57313\n20110 85182\n27919 57029\n28413 87354\n32502 48614\n60318 74598\n13118 63408\n353 35842\n39975 97639\n37921 69283\n28382 58773\n30055 93074\n40018 54709\n9996 40651\n80137 81340\n6977 73591\n73592 76944\n27883 50248\n27416 45521\n85179 86916\n53768 69341\n12177 17946\n35508 83030\n48874 50971\n13387 54415\n18063 76958\n21543 93307\n71887 76855\n1808 36953\n3836 47218\n1940 35626\n10649 97639\n40797 97370\n31245 88030\n16756 25856\n11015 49413\n8716 99220\n55322 76965\n1168 16363\n41119 85606\n30977 57336\n35461 70127\n26500 59096\n8157 12438\n10144 91870\n2889 98104\n16648 34408\n12047 48074\n19740 89284\n23155 59225\n69308 94894\n3885 98966\n61947 79163\n14214 25202\n45015 91283\n16973 40501\n48158 73369\n20093 21962\n47286 65903\n49521 91880\n1987 20925\n99789 99943\n28769 57654\n15184 75799\n18811 38013\n16871 63460\n81819 83090\n56991 76538\n15241 46116\n1532 86038\n68660 93817\n58282 97526\n22964 73829\n5111 23553\n62157 89615\n37947 63992\n12182 68387\n20834 90105\n37255 56278\n75088 84851\n65695 83263\n37312 39025\n7147 37290\n17264 50190\n70966 75866\n48994 53818\n37161 74199\n37516 82143\n51949 63761\n32305 49256\n5729 53436\n76024 83751\n12986 40027\n25181 92073\n68450 82816\n78387 99211\n10259 48767\n38612 79019\n35972 73943\n82310 94168\n1199 96853\n80057 94048\n41967 99745\n9966 50492\n21089 79433\n97907 99774\n75858 93387\n2567 59640\n26778 68111\n69731 85310\n96188 96377\n10526 46918\n62318 82634\n10978 42419\n6280 20356\n1569 22984\n70204 70647\n63120 78474\n31425 33715\n2917 72478\n11373 72642\n86341 96553\n14601 72064\n24633 54729\n55578 68050\n53829 97451\n20023 98402\n72754 73122\n50528 85331\n52866 70831\n6717 90318\n29691 41617\n4034 65207\n45028 83220\n22028 74655\n2649 96643\n61920 76629\n48352 98524\n72716 73720\n41627 42652\n49403 65073\n22521 78121\n66087 74131\n2967 88260\n55023 72138\n42309 63931\n45457 59441\n19866 37769\n18130 52961\n21002 22199\n20149 87661\n8179 61260\n6401 96178\n15908 24128\n1828 50942\n42395 61895\n27130 72586\n27327 65533\n43733 43958\n50889 58751\n31924 58009\n48527 94462\n67298 69026\n23961 78172\n20906 72210\n12445 16076\n2847 48213\n24891 52218\n15672 82011\n48239 73261\n31908 94242\n10039 64032\n66162 79859\n83614 97869\n22174 38500\n30645 90329\n27581 87077\n197 7316\n74 74072\n47509 96713\n32123 47272\n49822 75750\n70103 86044\n12711 67247\n16720 76103\n34241 41449\n25100 30296\n1580 23021\n873 56031\n9977 28320\n26770 62050\n50451 77751\n57773 79726\n874 4322\n60298 68116\n45037 96670\n19249 73317\n67396 69647\n66829 96846\n46280 50866\n75941 91349\n2345 91977\n83435 85145\n8317 51448\n32237 55912\n3911 28976\n3783 78048\n4684 84088\n150 77511\n10661 80102\n18777 63735\n887 15611\n39037 54829\n59537 67379\n40376 76322\n3346 9373\n149 46390\n11938 81571\n41093 83159\n47334 51913\n26056 68040\n55005 81121\n22736 89598\n63581 72199\n12045 46011\n893 33349\n21522 41875\n33715 78088\n80423 92985\n48709 88040\n43266 97883\n20648 24849\n21512 62668\n69056 98482\n22627 60209\n3785 48551\n46409 56673\n55035 61590\n70055 96305\n26053 38052\n13522 69190\n88230 92869\n10455 58378\n18129 73849\n1046 22621\n30472 40735\n71616 77953\n64607 81430\n30993 78235\n52918 69334\n30581 31620\n8427 94334\n18256 82689\n70927 88647\n30734 83628\n4760 61199\n31924 90161\n56549 90486\n18449 21963\n28294 68433\n47481 52527\n49153 97135\n12015 88888\n20019 21893\n42590 91113\n5897 45388\n60966 73458\n31758 69537\n39322 76912\n43609 53222\n74661 83190\n12999 56807\n21896 23144\n29778 96284\n9130 64477\n24116 45293\n23520 57528\n2516 59154\n12929 34421\n9292 46847\n23586 28546\n29082 33817\n15148 56530\n17062 40868\n30573 71588\n19330 23423\n26 13579\n55082 81624\n20617 75201\n41628 46545\n21007 27078\n16737 85497\n22196 63205\n10483 17769\n86802 91545\n17226 80262\n61848 84653\n5087 86837\n36400 61595\n25917 54746\n85034 86890\n47777 82109\n78176 90309\n47989 72341\n38856 45443\n18316 94859\n27176 71374\n25804 83675\n30339 62704\n23720 31143\n43058 47390\n47122 95935\n4413 15969\n1821 35618\n34441 59354\n8377 33887\n70754 82651\n24607 86515\n32624 82343\n58676 84374\n33934 66154\n14045 32063\n49355 69793\n20480 54308\n72094 92706\n22383 41202\n12772 88387\n12980 94852\n17669 24294\n58964 89599\n31008 67561\n45254 73051\n23588 80870\n11382 93508\n21965 95335\n2835 84809\n50423 79673\n43572 88336\n52004 93037\n10211 96092\n28030 44994\n56980 87417\n73117 89517\n58270 71239\n37796 39760\n47316 72943\n47233 71768\n77171 90664\n46097 53276\n16638 46956\n29897 80960\n2812 14426\n2578 10673\n3576 48883\n35986 75593\n26287 46560\n34168 70885\n30552 61538\n60105 95347\n1573 10681\n30337 63061\n54245 98502\n15793 72739\n43421 60129\n28997 50789\n36386 68412\n5881 87331\n47960 70175\n46074 76216\n45634 65984\n7578 84771\n10510 88655\n55940 71915\n4773 69333\n3299 42676\n76969 90933\n15170 29067\n22618 50566\n42679 98987\n71353 83613\n69938 73050\n1630 76693\n54779 69006\n28621 57284\n12335 29706\n1039 37879\n68038 87676\n29001 46857\n14481 80092\n14194 78551\n42784 91617\n36687 40260\n21742 49957\n80788 88113\n20524 56486\n47721 57399\n59936 85095\n49136 60495\n60579 69818\n45032 81449\n11209 64817\n1765 8487\n17355 41785\n87715 88431\n13968 29212\n17869 41638\n35078 81475\n19556 22488\n29606 89519\n724 62415\n40534 90538\n54199 88070\n84437 90055\n18869 99564\n19895 43345\n86565 90630\n1686 46739\n94056 95061\n34530 47388\n24355 62397\n6477 45055\n6117 54327\n12124 28992\n4239 11776\n314 96817\n35498 88325\n44461 70522\n13978 89153\n13999 58546\n16716 75563\n72268 89199\n59318 86917\n13066 49876\n41768 80644\n19245 68407\n13192 79068\n24732 96032\n76467 80595\n48037 98647\n18572 23068\n33276 54367\n22438 26704\n68444 76932\n66992 81582\n68977 97420\n54139 99902\n15250 25104\n22235 65253\n11610 49994\n56936 99606\n13020 82304\n75650 84266\n34117 44389\n64149 94504\n40687 61910\n4411 60117\n6813 55683\n79398 94326\n27731 41272\n39267 61951\n20639 82031\n67614 80475\n34844 56279\n25463 85699\n27657 34587\n577 43603\n59650 96628\n23254 63285\n44181 84257\n29365 76752\n28094 67766\n10064 25804\n54155 92243\n5686 79886\n58827 83171\n11353 97000\n26683 96492\n23532 57675\n37992 65139\n45210 89013\n9179 31815\n4348 86016\n21608 53746\n2046 97115\n7412 94847\n730 27809\n72340 87711\n14847 90550\n104 48199\n61321 95350\n4696 58446\n25156 72264\n32416 67926\n3625 61509\n48056 52729\n52353 82066\n34845 44218\n18563 28911\n26494 93005\n40062 93046\n21134 60631\n55093 87023\n7859 64988\n86122 91116\n58363 96136\n9445 30478\n56975 57342\n44809 60331\n8985 22001\n86330 91666\n25074 64416\n20866 53891\n51755 83332\n43322 48676\n27111 90315\n61900 73286\n15206 78862\n67127 81054\n8980 19543\n12460 47820\n44568 60168\n7388 79302\n65474 91997\n87045 98501\n32676 35669\n40141 59711\n51920 67960\n23760 32261\n586 17628\n54588 91360\n1873 94444\n61024 86179\n42425 88145\n7250 96105\n543 38475\n57287 59503\n18038 80184\n48326 79336\n31595 72009\n17557 33343\n27416 81334\n2430 50841\n41311 79919\n1491 32652\n36574 98674\n22460 34853\n12668 53965\n20805 22488\n28455 87912\n18391 88413\n51286 55437\n25266 62220\n4837 97523\n26837 28909\n90635 92358\n22910 89129\n4232 18624\n2828 56692\n51113 86205\n23534 43277\n30744 54042\n51580 67229\n16384 77897\n15792 40971\n18668 66367\n38401 62091\n48370 55383\n43361 49538\n33419 48866\n36139 89280\n3075 49292\n72887 76388\n14096 39517\n2536 84235\n68285 68402\n17511 38281\n46708 73576\n83295 87050\n27797 82476\n4766 29980\n20538 30689\n33117 61517\n11160 85525\n89585 89773\n9813 27862\n49420 83682\n49243 93649\n33359 80228\n20585 79299\n26011 57032\n57950 68102\n55122 95582\n67324 92936\n10967 31409\n341 73111\n22193 67870\n15206 79592\n33645 95755\n2225 24541\n28111 52313\n19036 87578\n12476 33355\n9605 65981\n26460 73294\n11612 45299\n61999 90266\n40495 47377\n8588 72249\n49925 58248\n85369 87248\n26556 33693\n18373 37422\n16462 42014\n61786 88140\n20055 82446\n82194 88762\n29002 35166\n7291 51345\n17173 43376\n13589 29253\n33201 59193\n47735 55742\n305 15187\n16976 92580\n71454 78741\n48727 64002\n53182 57074\n12344 54327\n53876 70408\n18864 44077\n20152 94341\n38091 39897\n26624 49173\n43406 47479\n35883 55594\n40845 65570\n6822 7733\n47217 60533\n15663 44616\n25980 42532\n9371 38185\n15377 58684\n55853 80050\n34080 61759\n22488 31541\n36790 77817\n1961 93430\n11566 80668\n22759 93301\n40600 76838\n79322 94809\n26180 36792\n46209 70479\n14892 81421\n29556 40333\n44461 59966\n4107 26601\n39602 77028\n14245 93747\n13091 31375\n38843 81838\n28668 69237\n43089 91776\n94499 98490\n3803 35615\n3579 40062\n25767 73428\n42408 59835\n17141 89284\n23466 66677\n52906 52937\n80590 87749\n34135 49578\n6421 25552\n7314 23342\n85347 94574\n4097 40148\n9836 17875\n19371 62374\n56692 63588\n36471 70256\n47039 58202\n28678 80517\n191 88957\n35143 81796\n75312 91089\n66929 71161\n40523 99879\n7608 49551\n13831 68292\n61002 75389\n5256 38240\n39134 98435\n39855 60524\n45343 90782\n63838 98429\n49231 50367\n4938 59268\n49014 63020\n7382 57465\n8713 83167\n42226 68279\n24902 69729\n80291 83013\n6750 32973\n31524 54021\n173 66544\n10785 64997\n16017 55666\n66507 95807\n47427 97563\n29399 51654\n10564 69863\n39021 51676\n84533 89794\n45016 54805\n30753 84643\n5453 54453\n83024 85029\n35887 39881\n5992 7907\n4500 79551\n2102 54138\n1604 95033\n64960 88228\n25742 50965\n3328 49577\n39599 50086\n69333 87939\n8576 42021\n40037 81548\n51958 86748\n8078 50545\n27039 99440\n54243 55052\n3873 11712\n17282 62195\n34362 79196\n48637 71867\n22371 80346\n13719 16242\n6078 41559\n31293 78455\n17191 23670\n4584 27037\n72785 88978\n30352 48788\n22973 41481\n33174 67357\n3276 36502\n7294 64173\n18770 87320\n1874 27967\n50961 92942\n29774 64941\n37788 97121\n11445 47714\n64052 69467\n98658 98778\n42884 45140\n29731 44506\n37589 70699\n13835 71291\n51214 67380\n12880 53072\n27937 53618\n38038 39968\n54082 61558\n25834 72194\n67465 85605\n48270 68723\n36443 40680\n14523 34341\n55270 96787\n6878 94980\n17897 85145\n7903 10129\n32643 87484\n11197 20389\n42931 84455\n92099 92420\n7670 80275\n55870 68247\n49528 88549\n53779 82688\n16034 85879\n58780 73102\n60544 95839\n8541 72248\n45236 80112\n28082 47042\n23471 83490\n72502 88187\n44250 70143\n53041 97625\n23012 66814\n1931 53356\n25433 81945\n1324 89773\n4559 94982\n8558 33422\n21842 72688\n9332 61499\n28377 54920\n37291 84168\n44635 60882\n58573 95717\n76106 85118\n35549 53271\n26264 56859\n75222 90954\n28779 67225\n31428 33697\n54559 64459\n90079 93362\n14960 37790\n85444 95340\n92 73636\n19865 30148\n15762 56631\n25703 27178\n10352 82820\n12345 96053\n10070 53873\n64131 90226\n30694 41327\n41580 61998\n3859 41521\n21359 26231\n50496 85304\n46577 90991\n1558 24537\n1277 7201\n38759 84085\n48222 67805\n70792 83775\n21976 40476\n32925 82511\n5164 48996\n25228 90031\n1587 44136\n67942 82479\n68991 87095\n50118 75399\n12111 96666\n29712 71500\n14947 68665\n19977 58465\n36400 49827\n50438 56613\n28329 79326\n18792 99059\n56864 60387\n23992 35920\n75060 86760\n937 22541\n27139 68624\n74956 87245\n16378 92829\n41871 69782\n89096 99490\n63041 75935\n10058 76889\n26028 76869\n25798 71986\n73865 98757\n18699 65026\n11094 24175\n8704 75993\n528 58087\n13861 45458\n60276 94124\n7579 95883\n2148 86311\n7460 8151\n8492 51781\n5344 86448\n45809 75651\n12970 92923\n27030 48587\n55012 73298\n10911 82392\n57291 73986\n18760 41430\n7142 44032\n39781 61691\n21115 83803\n3812 98231\n33769 40655\n27554 66229\n4514 82515\n5660 46060\n59462 94416\n20209 48811\n11436 76331\n69775 88525\n7164 66422\n48456 68354\n5310 77942\n4489 99111\n1876 78520\n5495 26843\n49860 64925\n10723 67942\n4274 54101\n11597 35670\n700 77531\n82865 84079\n14425 76967\n30766 93760\n20750 89963\n8797 76115\n42008 64670\n4844 35954\n19671 20295\n26527 85690\n2102 63762\n31177 66333\n16936 97545\n88201 96297\n50085 53282\n22985 35624\n15509 90238\n10446 32860\n7687 27841\n41111 88381\n10290 34664\n76021 92121\n82946 98270\n50215 69317\n59744 67182\n62945 67401\n19014 71465\n48295 91229\n53839 77998\n57796 92187\n16543 37485\n28362 84821\n13598 87618\n4562 84856\n8709 52501\n2329 65057\n9285 70838\n38677 95677\n19845 46769\n23991 34958\n7112 69445\n37732 82636\n82696 95917\n33744 65189\n20622 41533\n86399 94200\n52309 72380\n64131 94040\n10930 38112\n33505 73291\n31229 49611\n45122 54637\n48813 77123\n77626 87364\n31301 51360\n32674 54652\n47600 88558\n33002 84538\n17004 31372\n11604 29454\n10244 32568\n28356 35410\n1159 95028\n13076 43282\n31425 77058\n26465 45193\n43498 86500\n28589 57928\n22329 65046\n43549 48588\n19715 90962\n12891 34382\n65248 74457\n7477 74151\n49147 83705\n24397 81839\n25285 47653\n73067 78844\n13941 61633\n25088 31748\n51011 81021\n5070 49168\n55329 83753\n9327 20407\n10254 36926\n66070 77041\n45971 71346\n45368 76794\n10472 36202\n7667 35057\n27111 32178\n11689 11834\n70491 73216\n16807 27047\n39030 72430\n59415 85216\n7933 46134\n23625 64436\n54900 93200\n2216 80013\n35517 60257\n10717 10915\n40368 86408\n9519 47420\n50809 72110\n24722 60163\n52045 97479\n69687 73939\n64328 67666\n27195 71627\n2396 35653\n21180 43133\n50511 58693\n56037 76017\n3726 68447\n19794 56612\n17167 69918\n16948 38895\n41805 48645\n31230 46342\n1023 77855\n23692 94719\n17492 82831\n61555 68809\n13464 27562\n30489 39100\n278 33840\n4084 47705\n30810 96008\n1873 9872\n10580 40818\n63498 67894\n68611 72561\n12798 62631\n76291 89859\n20839 60694\n36441 52627\n2588 40644\n62568 65662\n14786 65254\n51489 64459\n74950 98291\n38658 80306\n41574 57583\n1951 8771\n9750 87922\n5449 40927\n62981 86079\n87007 92830\n67322 86557\n7464 27452\n5571 7131\n28518 96634\n63311 72565\n26529 84095\n59864 66861\n56356 82042\n9996 91882\n42676 94944\n11797 76771\n13253 65934\n37647 47997\n32009 52355\n42932 52962\n65557 96291\n21000 92694\n6102 39513\n47492 69766\n1459 35694\n26017 80558\n70862 83046\n27868 53260\n2182 71281\n37272 90132\n24970 66743\n28347 73983\n23209 91915\n54611 99613\n21702 24696\n45603 61236\n26044 65308\n89747 96006\n24226 38867\n44294 70160\n38229 61764\n26900 98387\n18290 20565\n30639 53111\n53578 80455\n47093 69655\n46642 98524\n50091 79523\n19535 24179\n12757 71074\n46513 60312\n56603 64863\n459 80948\n42121 67721\n45854 75943\n372 91295\n4539 58624\n8531 26425\n4699 33049\n35887 44151\n54930 88886\n47269 67096\n7885 29178\n94759 97188\n54699 82181\n10454 13461\n5422 60361\n26918 44466\n39854 71371\n58439 99531\n15968 89945\n25270 57043\n75496 94756\n40239 94291\n8796 24995\n10575 24804\n51111 64883\n27348 56493\n66315 79077\n12796 19566\n26930 80882\n34274 67661\n60413 69062\n49857 62513\n38169 81061\n11051 35196\n3796 96970\n59018 99649\n10602 72257\n11836 37349\n6102 11818\n20435 61013\n53710 60760\n60948 74143\n20052 21772\n14631 25641\n93073 98744\n945 85412\n19744 62157\n56412 82778\n87645 95555\n71735 98120\n40277 81492\n3822 46045\n15339 48310\n297 89389\n38934 71794\n9464 92959\n68215 69002\n47837 66405\n11257 91763\n11320 91298\n11072 86405\n16652 91440\n28970 75874\n14240 60668\n49673 70612\n47018 51833\n17407 80025\n69544 99062\n76412 85700\n17698 44902\n58421 97897\n16150 60661\n81420 94194\n39076 39896\n6054 28801\n50078 57006\n65492 85417\n65743 96155\n33770 58904\n6961 87778\n26021 58190\n58862 70263\n64972 74332\n41198 77451\n53819 66936\n69769 83662\n20287 31851\n20963 91811\n49069 65597\n16623 54175\n72521 76401\n46498 70948\n48534 97723\n74003 98418\n26944 42913\n20775 37752\n91575 98480\n10620 25491\n39161 69757\n15874 77339\n52005 53156\n1358 7714\n33074 71912\n42987 98115\n17458 26988\n61180 89278\n76082 87694\n28145 99709\n86571 90469\n21643 32443\n34868 60609\n62800 94888\n10026 17643\n46799 70996\n52080 80052\n6388 84264\n67369 75775\n79912 88133\n56529 98478\n50614 77260\n44637 70380\n16977 74660\n14309 40639\n25876 72578\n3328 41210\n78152 84234\n49335 65195\n32344 58402\n54914 86074\n15382 78722\n2302 11834\n32242 37334\n12140 55465\n1340 76059\n26647 89462\n43254 61013\n53113 74591\n32644 96342\n9031 90390\n11034 11242\n28255 39655\n11689 21179\n9024 9433\n6150 80054\n8631 15705\n39497 52097\n14223 66328\n10861 94959\n41738 51113\n47406 58138\n1294 96092\n28317 44800\n10540 58015\n45325 51129\n64661 75939\n23327 61922\n62971 70605\n22705 55030\n47394 64829\n5801 74962\n1650 87619\n15880 71053\n44924 44938\n4931 13130\n11789 13454\n8907 79047\n43322 63393\n7760 88953\n12315 14060\n25929 97993\n9740 93335\n26341 57936\n72625 93357\n25570 85777\n49584 54597\n1355 38698\n28707 71520\n23729 50194\n10375 42342\n28891 81882\n64626 67844\n7756 40633\n18642 57021\n10983 18274\n27860 42770\n54192 93424\n12988 89334\n13121 78473\n16739 33972\n30743 52758\n49182 54256\n4616 84802\n10579 36310\n33251 92306\n50264 96444\n1407 77351\n45768 61926\n8398 8540\n15481 24235\n70463 74095\n11512 38480\n30760 67696\n4782 42048\n5353 93038\n33664 48543\n42396 76433\n27577 57330\n31303 62099\n68195 88781\n36490 92085\n67147 70578\n29514 72588\n3131 41850\n9896 80093\n43206 90639\n43520 53067\n87960 91337\n9899 16529\n31887 94943\n11757 32411\n81537 98276\n12358 95513\n65187 91081\n25858 76450\n20787 72897\n44769 82864\n1326 30471\n7676 64755\n26476 36757\n49093 98091\n45998 86790\n7493 15659\n41001 68242\n22477 29742\n17048 78960\n13226 80877\n39582 62437\n49654 73937\n7656 69015\n29827 71772\n13870 95768\n53852 86629\n12924 22944\n26350 49478\n38690 75957\n25046 37634\n43043 43516\n16426 92101\n25026 62091\n67399 70671\n46797 75582\n75638 88043\n19968 48497\n47720 69547\n24234 41137\n3317 13425\n8735 63965\n36987 38599\n33944 53315\n1484 65048\n9650 96490\n45337 94095\n16334 43898\n45598 58084\n16950 50786\n19374 44393\n25989 92654\n51325 71622\n22599 34324\n27931 76206\n56385 89078\n6809 87794\n263 73136\n35628 71361\n5397 60237\n44192 75896\n32670 98807\n69100 85140\n16043 97682\n23706 51450\n12199 39947\n13046 67964\n52953 64914\n44715 69955\n15143 75711\n31699 83194\n5680 53304\n8397 20330\n11798 74142\n61476 87841\n44244 73886\n40391 59017\n67498 98770\n70894 75104\n2323 98051\n47836 65842\n79961 91486\n16908 94539\n1302 37353\n24698 42507\n83550 89079\n92554 95697\n52523 56540\n12920 20814\n86646 93243\n54926 57785\n29618 85590\n23153 98422\n35037 41197\n53253 56609\n39933 56875\n27963 53142\n23175 68902\n49175 96791\n16422 41801\n2715 26654\n17984 49509\n58200 63045\n19255 87994\n62596 66424\n45701 96682\n391 62411\n531 31292\n66708 97032\n78148 82129\n93359 98759\n27163 34545\n71383 75461\n5622 79390\n32811 78914\n13320 40251\n23999 89693\n22969 62729\n18006 74715\n29447 42544\n34297 39462\n5689 63143\n60063 78599\n28476 45390\n41473 61033\n6393 35596\n30992 70746\n78539 91131\n66870 71918\n13693 76525\n64563 70032\n27255 85406\n42911 93132\n51795 60332\n38505 70846\n23645 27881\n8951 9577\n13180 21559\n15397 19038\n27380 32230\n25300 30746\n49061 98912\n46326 93144\n67753 85878\n2939 24028\n45070 48088\n14119 68539\n28440 47510\n27940 38245\n57843 62962\n8593 69163\n71736 73614\n38270 85368\n17000 60986\n5957 80994\n36702 71645\n27196 47960\n84428 91815\n23009 51672\n80495 88319\n93526 99037\n69576 77429\n92900 95375\n2982 52370\n21702 48353\n3452 37502\n29033 75364\n23403 74934\n9355 40585\n68128 82810\n54088 71213\n18584 42942\n18306 38898\n15479 29285\n61097 78621\n58813 77927\n25459 80241\n89993 99774\n21676 55672\n50047 76282\n8552 8659\n56152 70304\n1418 52094\n31522 96465\n49979 64817\n30148 85065\n73190 91164\n18694 88820\n24171 30205\n11168 12786\n30381 48577\n18127 79123\n13839 62973\n10789 44004\n42258 52689\n49970 87919\n11463 58176\n21903 67548\n32342 67519\n9000 44004\n14480 81578\n4088 46254\n35872 58334\n42304 68344\n38138 64490\n50843 71980\n19833 57025\n43887 85348\n42992 45099\n40974 51545\n28343 80921\n28311 88816\n37321 61877\n37966 99005\n27075 29771\n25047 61517\n16649 54610\n1086 48785\n35953 73686\n73150 88706\n17093 54759\n31270 65094\n42963 92041\n41701 42432\n10514 90023\n782 23015\n22861 77991\n72355 98837\n45577 77565\n11902 23740\n16438 81442\n50423 96153\n33255 78277\n15925 25849\n77570 86973\n39946 70481\n25894 30695\n4522 94313\n12761 66488\n4121 61017\n51158 72002\n4738 69099\n8174 17638\n63214 88603\n29413 42048\n29812 39277\n55140 66062\n12598 52806\n27150 86076\n12596 44440\n33150 36336\n56877 87645\n8353 68726\n56631 82219\n57271 80819\n55821 65542\n41691 72903\n82217 88986\n86426 99790\n75687 85397\n31089 37001\n11996 98111\n5990 35193\n28308 33166\n34127 52976\n8059 69532\n6314 57605\n31359 97371\n5726 35704\n17749 84113\n99185 99797\n35946 82980\n20557 97492\n36386 94720\n42873 86068\n5068 32675\n44607 79185\n37049 97350\n53480 87025\n2723 25164\n41258 49182\n5009 91880\n41819 42692\n2234 25036\n20962 41364\n15598 97994\n38634 68954\n26332 67399\n50280 60981\n60153 93750\n12388 24930\n43435 82862\n65821 65863\n10974 83984\n22260 31143\n36739 84817\n24236 27150\n42066 72076\n4101 94274\n7955 98652\n29425 99285\n89030 99975\n24487 90628\n6078 38149\n38340 97522\n36281 77336\n56007 85404\n5195 72536\n44119 80167\n39236 63539\n23515 64448\n4559 97496\n38683 80729\n84069 99297\n42974 59383\n76444 83007\n38765 74878\n62919 92792\n3096 87064\n6635 67257\n19631 39001\n32542 49508\n18798 56703\n33973 38156\n7001 28127\n4140 60292\n42951 90527\n46699 50472\n28450 92490\n2949 87890\n93033 98719\n9811 81459\n85376 89424\n68071 74904\n40041 93569\n983 47330\n19233 85881\n39825 98394\n19388 63783\n35832 46355\n12363 75563\n929 59284\n9804 18751\n50938 64272\n31057 78639\n16564 74736\n92645 95439\n473 86011\n21627 53599\n66616 83649\n32327 33963\n61717 69806\n14822 86862\n4175 71800\n44924 61122\n70072 89088\n67517 91621\n19665 80073\n40020 76522\n14268 85580\n48908 50532\n25250 46002\n47078 63737\n32127 58766\n40928 43372\n16284 54527\n28695 86478\n78623 97957\n39644 98376\n468 79382\n7928 66054\n69740 92348\n67333 69738\n24541 62344\n46564 52577\n1579 69936\n6949 90407\n1930 51717\n12781 89603\n14234 84658\n76020 99802\n60150 80076\n1479 74052\n6008 93819\n46326 90019\n1182 77570\n40525 99082\n3575 68268\n57600 84788\n11112 47993\n53741 95445\n92878 96396\n14830 89688\n51167 98455\n69952 95244\n28421 49262\n13004 16066\n39747 47757\n39810 90629\n15134 79932\n21613 47901\n5183 38990\n2870 69460\n12983 43631\n24251 97474\n67919 91972\n46778 63799\n72144 99032\n55123 56858\n37414 84657\n3211 8298\n6076 83190\n34280 91015\n45875 58428\n15257 66621\n94738 96190\n32538 39892\n51276 92890\n17000 96387\n4159 63293\n9973 91944\n47381 83416\n38094 61949\n27691 28309\n555 1510\n61286 76417\n90103 95318\n75863 84113\n13198 57453\n71478 79904\n46910 61587\n3102 39216\n33264 38634\n8300 47417\n48770 74821\n78247 90356\n46638 47511\n1941 32465\n48004 96304\n12892 46355\n48117 88684\n23989 25974\n93531 99353\n16550 53901\n18530 81266\n55271 70862\n58315 76893\n48171 97999\n15661 22828\n10591 46367\n63405 88453\n50112 78472\n16936 28642\n8444 61437\n10723 24132\n43361 88407\n61105 86461\n5710 59309\n32165 41497\n4501 50547\n23616 61263\n39532 48505\n2847 93704\n8941 57362\n27969 38222\n70335 78830\n19172 32537\n18797 34950\n24125 53799\n17314 28781\n58023 72111\n30322 67694\n2006 89904\n16340 86372\n91097 97815\n8055 43311\n10018 87650\n9913 98366\n9567 81272\n65495 68160\n75163 93425\n1538 48489\n27403 86963\n50656 62593\n8355 27072\n65528 95854\n19307 97525\n8259 80904\n6616 21477\n26630 58576\n8092 76231\n20151 99075\n9911 51103\n54432 92795\n1113 86646\n7238 76617\n67959 77381\n26363 40153\n62222 82359\n48301 85748\n26905 47164\n13630 89686\n26772 72040\n37525 48652\n56288 83938\n15046 81349\n43554 49980\n15919 22505\n22423 80055\n50292 96313\n73397 73814\n24540 71850\n73 70249\n33121 54196\n73409 90850\n1246 34677\n32019 99418\n14093 91214\n27238 86506\n49227 79986\n29100 74729\n53562 59745\n17641 62629\n64986 91147\n24685 29634\n168 62400\n67441 75104\n17315 50233\n39898 92298\n40046 61686\n48234 90998\n7319 56714\n13599 41716\n60501 65711\n78895 97395\n38761 67078\n56627 69055\n12507 36141\n5158 47539\n9421 57948\n58505 95136\n70305 96096\n3045 65614\n27627 75372\n11045 68042\n6172 29112\n34698 48023\n1607 67247\n42368 48703\n29148 46375\n9344 88088\n33946 76273\n53739 75760\n78151 83926\n35613 53601\n26727 63199\n56501 74663\n29787 66849\n51891 61928\n48058 48113\n27335 89908\n38706 44983\n8093 15526\n13182 39955\n53652 60752\n56694 76675\n66890 95408\n2594 78359\n73336 90028\n22316 76783\n22221 47505\n14694 53819\n6812 48169\n6320 56721\n2999 83158\n62836 69036\n10121 14084\n37492 85473\n34765 68976\n18733 73494\n5459 22578\n20376 82018\n28949 52823\n10212 33167\n32610 63791\n53163 74316\n51300 87617\n65547 86549\n7031 90637\n38993 39975\n26484 80224\n83053 88562\n18803 70605\n61630 71357\n15006 18535\n17811 24982\n17203 88514\n25058 70331\n29289 97238\n61829 91535\n15102 59563\n53019 86309\n15513 23273\n27665 54648\n73222 96642\n11892 36695\n50765 61706\n42999 82187\n31835 42477\n57342 85892\n4677 54330\n16745 53627\n21097 98877\n70469 96729\n5570 77058\n4781 15725\n32801 77247\n28111 74663\n16192 27509\n20503 32615\n17131 77049\n3761 32560\n8996 75339\n15253 68184\n18870 20891\n46040 58428\n89873 91981\n68555 83736\n47709 73559\n19590 49766\n29437 52487\n4191 84020\n20146 88311\n41536 79537\n9192 50371\n7773 39877\n42211 45838\n50985 62094\n27740 55904\n31565 55665\n16412 21087\n23752 77466\n11724 82920\n3014 53791\n17793 37217\n19326 57527\n43250 97234\n66431 92058\n3181 65120\n24417 98660\n21644 48080\n68315 69439\n26 19735\n19180 86623\n39258 68817\n2216 96859\n69766 75667\n36949 93108\n44137 47175\n30599 99599\n42740 72044\n58107 89321\n391 71185\n58832 59105\n14096 91376\n46837 88123\n86666 94933\n57047 88460\n46114 85228\n31831 75684\n11810 75123\n53116 91800\n43465 83795\n28690 45031\n38786 82671\n7014 35819\n12857 88944\n50466 94024\n9153 60190\n9980 21278\n64400 95466\n25653 89018\n5119 29974\n48608 87874\n10496 45028\n49883 98268\n27034 97634\n15110 25926\n60674 71759\n39946 58500\n13641 72620\n26834 38462\n23701 37757\n65399 94204\n73996 79615\n11144 41291\n42887 89435\n6566 13800\n15787 40064\n36595 61373\n13781 79666\n15948 98393\n10342 68888\n20136 40094\n69745 91538\n28883 94703\n66186 69494\n46547 71882\n24191 32782\n18317 85336\n27321 32513\n86046 99272\n26350 51966\n23622 58169\n7833 93456\n20854 43179\n74543 82147\n35252 69369\n10744 20859\n15573 42288\n28254 59550\n13091 85731\n41284 50318\n39889 81471\n19267 97698\n58664 62846\n29625 57874\n37648 59681\n93591 98004\n16442 31919\n6206 80919\n19078 99355\n40993 58467\n28363 48253\n40768 81733\n56603 76004\n52913 94285\n8090 73723\n78399 84236\n11371 53716\n24666 58628\n41402 90233\n7669 47033\n89506 94949\n29030 93450\n18456 89783\n31068 91302\n36803 85350\n16013 25338\n29176 54705\n28668 97955\n21721 34043\n48807 92704\n34442 67364\n25406 98259\n22917 72622\n643 63315\n27005 66048\n18482 51332\n7491 97894\n7558 69182\n52135 77500\n18683 49798\n772 2012\n82434 94544\n23976 52039\n43288 47035\n2486 96329\n14391 50262\n23009 49192\n21045 94824\n6241 16279\n25363 92423\n36350 40562\n18245 94704\n22354 80987\n16804 35207\n53546 74325\n35046 49462\n33733 97370\n67811 90408\n28948 79909\n39109 84149\n53872 69331\n9088 53988\n18539 78132\n2920 9246\n19395 79364\n60814 81076\n56096 74722\n37267 43007\n57102 93840\n28796 34323\n2205 53279\n26220 49948\n52617 56735\n7605 32566\n33532 84270\n25965 91292\n54493 66280\n23056 82480\n55973 85815\n39919 65132\n33712 40784\n76791 94794\n73325 81492\n5550 79535\n20922 59335\n5623 75330\n51054 74193\n70690 89696\n35529 71372\n21334 33588\n53178 67079\n65442 89593\n44447 89806\n20831 71167\n58771 92275\n14173 27807\n70306 84052\n63005 93792\n23579 90212\n13396 87316\n27213 74228\n15700 51549\n65046 96694\n9154 40968\n3101 37284\n5092 41279\n61961 63268\n7267 39236\n8472 69731\n63923 83044\n7105 56650\n40151 76218\n25329 52653\n2626 3182\n14991 75008\n78600 87889\n41442 62140\n54156 72509\n2571 25185\n55981 62504\n33228 62512\n25067 46804\n10464 57729\n22852 39111\n48357 55341\n56205 90426\n4559 76067\n1802 43578\n8270 62930\n59762 87947\n76488 79704\n74610 80920\n25231 57100\n7072 37549\n72649 76092\n15898 35531\n36658 51205\n46361 66138\n71248 87340\n72516 92418\n46089 48132\n20325 28467\n29350 48225\n67387 95606\n13997 79532\n49416 76145\n10115 74595\n20054 90347\n29646 64813\n77661 87540\n40770 75592\n13726 48686\n19180 75022\n27478 57182\n21293 39989\n12454 16489\n19732 40521\n33377 94858\n38456 90707\n43596 77011\n2470 72300\n87651 92750\n51425 91593\n23702 37840\n44359 56943\n15088 64363\n4112 89198\n41728 49510\n66854 80180\n52381 79240\n9842 76936\n41815 92397\n31272 60063\n14122 23380\n1521 44792\n15385 58495\n1216 63599\n81698 81811\n7356 83713\n4321 96064\n8943 96783\n49084 67864\n59563 78783\n50417 80624\n52617 68409\n66872 68886\n47588 54038\n14173 58025\n60066 66898\n34400 92138\n52967 70340\n59483 61271\n32982 37830\n14324 74027\n22737 29374\n3984 9157\n94607 95499\n30634 54985\n45653 65890\n45019 59395\n49741 77327\n43372 66026\n23883 87973\n30557 99875\n26480 30911\n87064 96296\n17142 64090\n30066 81229\n21639 87239\n56803 95398\n16627 66205\n42976 84212\n20315 50103\n23304 73894\n30255 75439\n24178 43346\n30587 46895\n35685 36775\n46398 73162\n53435 65016\n40964 91000\n18412 23483\n44610 75975\n26510 55358\n27177 70195\n13966 47472\n57796 91847\n509 2726\n16581 69845\n26489 45841\n8792 15155\n73564 75511\n13282 97864\n44145 87329\n42863 91191\n8430 63682\n32314 67228\n12302 75392\n553 15983\n6989 83128\n14586 27896\n24952 56285\n83532 87667\n7358 32274\n58528 96495\n36335 46172\n2040 99468\n84372 92110\n7517 86934\n8629 59017\n24971 53044\n23225 82471\n24730 29605\n55060 57567\n77056 93073\n10444 60266\n43024 74918\n39474 52649\n67307 84103\n84859 99296\n57703 99255\n11506 24563\n62647 77467\n9611 35870\n26716 35415\n7811 24190\n25991 47174\n9191 22922\n13689 59107\n68179 99151\n68955 96503\n63004 80802\n2742 66359\n2998 96306\n8953 46380\n11810 44362\n26290 62861\n21149 47667\n39314 41719\n13767 91548\n406 55600\n80379 91987\n5028 90519\n35657 58760\n16023 99524\n4285 64284\n36088 70115\n82381 97210\n22265 34431\n25435 67644\n63385 72527\n10275 10619\n9824 37024\n15280 70281\n11564 84279\n15266 87087\n20686 59727\n2131 84335\n24376 75559\n15718 38877\n27531 41661\n33759 58110\n42125 80416\n10462 52473\n9503 96108\n26266 60749\n17624 85771\n25127 68658\n20339 30945\n88678 96058\n30391 99121\n18945 24747\n36787 97078\n26461 42126\n26092 61036\n17924 41641\n16857 47619\n13077 90319\n40316 51011\n40613 96485\n28218 49780\n80533 95519\n62631 66866\n2166 59294\n24778 94555\n38052 91135\n54430 77559\n20773 22129\n260 67780\n15291 42411\n6502 87301\n18475 74928\n67334 74123\n55865 66624\n37299 37441\n9699 16757\n28359 85159\n44111 96386\n8517 44563\n27088 50197\n15481 61897\n8274 40234\n21412 72242\n2425 53644\n74901 99392\n83372 89096\n21830 78761\n34165 83171\n8157 37039\n16940 25239\n38414 59036\n6462 11487\n38871 81539\n18079 62461\n50181 71177\n11036 33463\n24935 59364\n24883 42139\n19813 47760\n37477 42194\n8912 62214\n38660 80742\n63708 64073\n47983 59280\n548 48526\n26060 91775\n35136 73872\n1822 47167\n12453 82445\n11026 39106\n5399 14829\n72925 93275\n9304 23061\n47347 79569\n23512 33865\n34537 48726\n28693 98851\n8326 8357\n30928 49579\n38226 73611\n8975 44062\n42423 80541\n7401 73719\n4259 65103\n12810 35470\n28204 95758\n10763 23772\n3326 38452\n3300 53442\n7440 30569\n40404 68045\n21026 34255\n81812 88465\n15121 68182\n67616 95564\n45607 56573\n55584 81372\n13179 88371\n56126 81714\n50818 88107\n22222 99463\n52058 99833\n17865 84538\n63629 79105\n11784 55371\n5541 36230\n52785 58325\n44480 48415\n53046 67457\n13649 20994\n1569 26157\n22906 83112\n8434 38618\n51195 57206\n25290 27393\n14885 62441\n37250 67733\n58768 65519\n26134 72135\n24003 68925\n21377 38245\n9496 95410\n37626 70242\n21359 66031\n57125 68996\n61482 83102\n14019 74050\n693 11576\n59420 93773\n17110 93672\n77195 89255\n6119 76704\n33497 41221\n27338 44870\n34695 67132\n75716 91540\n47051 59849\n52988 60207\n84430 88364\n21595 30058\n73515 76592\n8114 21349\n2487 37177\n27401 97825\n7923 95286\n22777 38852\n4587 79148\n695 87400\n7745 49057\n34220 49832\n49783 56139\n81469 95229\n5351 84065\n66410 88446\n24109 58683\n51227 97236\n22981 71532\n11057 31312\n22444 50927\n12446 60492\n32570 56542\n68689 86211\n62037 65718\n33985 52173\n3448 44846\n29441 76793\n71222 89707\n13036 23644\n47089 54281\n17494 74200\n41824 74006\n26005 92718\n73049 88154\n1812 96986\n81765 92984\n14672 25570\n61934 91586\n26419 77815\n17662 22826\n64625 89686\n31250 60483\n50320 57391\n63188 90122\n24116 36491\n25193 25677\n46511 80111\n15369 38123\n56287 83598\n20568 70364\n58960 72446\n21269 45168\n8154 55802\n4729 19630\n62704 80030\n64375 90263\n30101 68798\n44994 89228\n19841 92731\n1524 76000\n33084 40651\n31752 71297\n28583 87779\n6917 63825\n23264 81737\n13481 85671\n41003 55080\n27103 53684\n10902 70271\n54481 73148\n2951 85438\n8781 61176\n52606 83228\n95143 97562\n4271 30995\n23272 86671\n78401 98055\n40649 64655\n30689 78857\n37188 96164\n12048 78624\n54789 59812\n59960 67062\n10521 65620\n1296 23166\n532 29130\n32284 75914\n15223 93431\n17686 80902\n14951 29377\n8644 70817\n50352 57540\n9945 24671\n1504 42339\n12622 94593\n2639 93489\n45356 68266\n4798 14083\n24299 47188\n64263 92295\n22228 38650\n66625 89452\n38762 46355\n2243 40464\n41811 51539\n80086 92864\n16224 76688\n95905 96088\n42409 97467\n89455 93056\n20985 61557\n49061 67461\n34774 41831\n44022 64791\n4269 7859\n67806 88429\n18469 82914\n37710 49178\n18367 68319\n22070 54048\n7288 52462\n18637 24425\n33735 65835\n38689 49570\n19503 22274\n3628 67962\n10666 29738\n86072 95934\n6577 29089\n48116 69901\n42810 49125\n35145 45089\n20862 91358\n18527 33905\n68665 89745\n16452 31893\n5976 69595\n7429 26449\n28565 70808\n2460 46208\n23368 24312\n55764 88219\n45495 89684\n79503 89456\n3761 5342\n33 76588\n7011 85910\n17706 40006\n38772 74822\n37153 96229\n11647 59087\n54692 84506\n18616 95408\n2742 95316\n8767 88716\n7916 15335\n72178 93287\n12069 65982\n61730 68346\n30602 56977\n34775 41863\n35540 76038\n3239 21403\n7362 43513\n49627 49805\n15365 45181\n37601 75300\n77526 87424\n23137 94271\n17613 52076\n36335 42324\n5193 35301\n43890 74686\n82021 90520\n13784 45864\n56745 63019\n34978 76953\n36706 72366\n27080 76091\n14180 44249\n6098 64650\n55607 66650\n932 32867\n67826 79882\n27380 90967\n34798 76193\n9922 72246\n7425 28390\n44631 96177\n40113 67081\n29901 94242\n68683 94619\n82038 92679\n34459 76035\n16289 60640\n40631 81501\n20226 35182\n6196 18303\n80314 97119\n14385 28998\n13382 61474\n37328 58261\n44739 69048\n40551 81013\n2037 87378\n12062 42594\n28639 80593\n22692 76047\n6999 72684\n37223 90768\n47006 64698\n26787 89539\n33309 79612\n6718 17843\n82160 93449\n28425 29318\n5015 22022\n84600 85267\n39626 88513\n50905 96747\n78547 90959\n78009 80026\n14556 29514\n20211 93488\n29333 39261\n73844 77654\n48346 86074\n18702 75180\n62767 66468\n23476 79868\n350 4282\n86218 87920\n29151 55812\n30767 92735\n29154 60000\n78331 83640\n23904 41713\n26250 26894\n8575 18495\n7366 8957\n27929 77030\n82173 90632\n5863 67186\n39060 90367\n34608 56337\n49954 85908\n56027 75218\n64320 87449\n49492 53484\n30584 81414\n27861 94309\n4197 56974\n20790 45649\n36603 58700\n75290 98595\n33025 74604\n15136 71876\n82349 88433\n91802 97238\n47597 94445\n63723 77232\n40627 42999\n41385 52863\n38159 42410\n17060 92547\n47329 93921\n66026 90146\n56733 98453\n39355 60628\n32113 91534\n21123 64295\n8257 96012\n38476 45313\n61425 88572\n34809 44101\n12212 46743\n49794 50367\n723 30608\n13339 60165\n40326 89721\n20535 33498\n79026 94559\n31299 53782\n1289 92179\n7522 74363\n7801 43243\n57865 91807\n11002 59437\n6146 28617\n50514 83533\n73451 82276\n68162 99807\n957 10972\n77859 82987\n5474 25155\n19464 62369\n59431 72638\n11269 71122\n77052 87601\n20703 71671\n19327 33777\n31595 50962\n13176 19315\n5467 42791\n1898 86159\n14966 75497\n31229 55958\n5805 67625\n8366 99401\n15233 88661\n50452 83123\n41884 48318\n38908 88971\n66769 96372\n26527 49475\n87776 97204\n7140 56433\n5028 31795\n4736 25215\n5613 56172\n33016 96402\n1264 92084\n8191 73347\n62084 78290\n13325 87554\n9326 76404\n26304 66817\n8497 83262\n72682 86323\n49546 87139\n3613 24031\n14349 77784\n4278 99187\n58487 69988\n66987 81837\n18256 78999\n60685 81262\n68052 76490\n45147 77490\n29292 34693\n42795 70812\n22200 72353\n71435 86234\n17849 83651\n77805 99883\n62015 80085\n29555 50797\n31003 64330\n6522 20473\n74908 95028\n55808 85256\n21520 81687\n26383 42725\n51558 78686\n38388 96568\n8000 20778\n76009 87024\n20310 67458\n30149 68794\n4106 76580\n11882 64312\n20852 21838\n45494 86137\n16338 80653\n40667 61373\n29748 87106\n845 43828\n37150 90189\n22164 87756\n84971 97178\n73158 77217\n57685 93819\n71308 83320\n54919 76009\n53388 97751\n29770 78406\n37307 82333\n18110 59857\n39631 97223\n91872 93372\n54407 55884\n6552 21468\n6568 49631\n53513 86126\n56227 79042\n13525 15568\n6458 72171\n5235 24694\n2138 61690\n18708 88974\n6046 86079\n6058 60155\n36499 85765\n10430 41358\n17510 77532\n60641 64464\n26234 92875\n30088 75358\n2285 72399\n1499 77545\n75255 79337\n6654 46011\n9514 11791\n23087 43447\n25139 58728\n47909 96121\n81998 99718\n5877 19968\n970 98215\n65309 90416\n18433 56232\n59362 85882\n66263 76436\n75291 94361\n63658 78478\n28739 53025\n14072 86559\n28645 29892\n687 16453\n9886 13114\n21972 94689\n40097 53292\n21612 93709\n44697 80818\n45408 82497\n31106 85383\n519 53308\n32024 71330\n17315 80280\n7909 65359\n362 31408\n6117 96083\n31202 84200\n63077 79644\n52609 61663\n2795 7784\n2862 39727\n38731 48177\n41729 56092\n53984 65951\n67745 69405\n3457 94245\n24898 92949\n28517 71140\n7383 17613\n40340 83908\n23088 86521\n13112 67198\n50469 81984\n1727 18846\n6225 32524\n57564 57692\n1659 35225\n24848 32656\n62189 81274\n15561 59899\n18710 52005\n11351 25210\n2213 29870\n26706 55331\n49343 49926\n14991 63833\n9653 52927\n8663 60645\n91796 99762\n17221 44721\n18376 21314\n23736 42322\n5304 92684\n80349 97659\n69857 90316\n18759 31029\n4350 80082\n93462 96892\n43102 46632\n47184 57586\n24340 85300\n24109 90444\n31894 44938\n73456 96637\n27943 70252\n58296 84066\n37789 87688\n75961 78230\n21554 49925\n6088 68866\n21969 76958\n5536 38371\n4429 91603\n8396 94359\n67180 70911\n2320 35988\n15058 78736\n34386 75757\n550 62587\n8019 68382\n29932 48181\n1581 28110\n6611 97055\n5540 75537\n33716 45507\n4491 81087\n53059 70609\n50422 99065\n15937 67824\n10716 46711\n65713 90561\n12654 98677\n34272 95444\n14983 46152\n7095 80575\n23677 39601\n23365 23513\n59945 89719\n6073 77716\n60980 90217\n18091 46982\n18855 67575\n68983 80112\n19428 70110\n73401 82830\n999 56663\n4051 53615\n78334 96512\n62720 71796\n298 53842\n31309 92281\n32944 98026\n45240 50716\n18531 88671\n37696 47128\n13544 86904\n82016 84839\n45803 69830\n16797 57530\n42677 55546\n90570 98021\n25438 47628\n25920 58673\n7849 11725\n7568 12861\n45189 76173\n3076 14942\n25867 65502\n83292 83793\n6318 43117\n53835 79386\n24511 35699\n78027 87283\n22682 74499\n2443 90349\n13466 20122\n43871 74398\n10251 69769\n20687 23821\n42617 81732\n13178 14261\n63533 89456\n14155 44561\n35398 41285\n7818 55316\n31399 78853\n4038 46477\n71029 81884\n34881 57321\n45277 64613\n34955 63660\n63318 79717\n12722 37780\n31716 88097\n34589 78946\n9020 38216\n35853 76098\n42488 76045\n76884 95041\n8562 31946\n81960 87210\n49118 77779\n1300 87633\n58046 94992\n50994 74885\n20122 76614\n48825 97150\n86708 89306\n3293 48870\n36596 46429\n20500 86401\n31092 74660\n40070 71212\n16713 70735\n28611 53387\n38591 97810\n29329 38937\n35367 48933\n3275 7533\n17538 72509\n38147 48976\n45541 81622\n20548 27994\n26636 29035\n47155 66649\n12502 24809\n31533 86774\n632 20750\n25884 67240\n756 94885\n6824 52241\n44713 80606\n34758 67977\n21029 69421\n6852 9407\n94772 96454\n55904 67954\n58488 79014\n74319 91904\n68942 86319\n45391 88203\n27095 92274\n794 1675\n86421 87381\n46490 84905\n19097 92762\n39994 75914\n6208 62921\n8511 28803\n22763 33347\n12572 18868\n91195 94363\n16454 72560\n38339 93476\n33806 42341\n84840 96277\n74968 92090\n12918 99935\n54265 74014\n67424 77363\n1646 87575\n69923 86436\n16507 71456\n82873 88662\n2820 25625\n71161 94873\n89655 94929\n6994 61325\n56858 62102\n19469 63333\n36249 92018\n18422 39885\n18582 64285\n20890 65450\n1131 22928\n48540 84759\n7733 37406\n27636 30629\n56198 88068\n45182 72899\n38991 51078\n11702 25604\n10561 63756\n66433 74510\n72245 74000\n58641 68727\n50885 87100\n6100 80175\n15678 35117\n43103 58158\n55658 84380\n39585 98629\n43497 70160\n32327 64068\n46752 87069\n11379 73196\n40943 75790\n81679 93300\n35478 45564\n81064 97024\n53868 54755\n3736 34398\n11978 92208\n65742 91426\n37678 92403\n3058 5382\n18390 47765\n10550 79561\n49618 82847\n47183 78221\n58103 71442\n18265 54476\n6799 53351\n21582 40511\n61657 92616\n10092 83371\n67456 99420\n31229 85100\n18050 94544\n81250 89559\n3553 76195\n78800 86525\n43772 76387\n16284 50209\n7688 26561\n1292 12420\n11446 71789\n17014 98231\n79259 99681\n64148 72319\n19906 79314\n5637 56189\n86435 91646\n29265 81341\n16925 27074\n5825 8461\n48740 93676\n3193 22638\n77249 85005\n27857 94686\n38429 89571\n27313 58897\n85540 91782\n56225 91303\n12322 66002\n40912 86552\n70754 83680\n48305 95750\n13418 60427\n65659 93844\n17090 58742\n88996 91387\n97190 99735\n5902 13122\n26236 70894\n11772 77393\n11943 39528\n24937 52266\n18560 20149\n1024 88704\n65665 77330\n29853 76826\n52935 79620\n37554 92894\n17772 59123\n82228 95390\n21612 25901\n36354 38022\n5576 51354\n26163 76839\n73754 87928\n49903 80002\n5751 76778\n86259 99676\n46809 64162\n39014 40700\n76698 81702\n74484 85291\n60938 84285\n37238 72578\n44421 85898\n39772 46031\n26504 69128\n27103 42874\n35957 79702\n16182 95538\n29188 66594\n56663 72976\n3164 11327\n66880 68350\n20371 60985\n57647 93854\n44519 91796\n16962 55042\n12454 49016\n31063 48566\n1565 70606\n75875 95873\n42292 72440\n12694 86943\n1912 46274\n17220 84481\n15194 18580\n62201 76246\n39838 40553\n15791 90053\n32648 94199\n8917 38131\n16759 95581\n75075 93147\n37725 54983\n1577 99228\n47276 59172\n7054 71164\n54744 62444\n73566 89278\n5145 69450\n55209 55777\n40289 41070\n37001 41809\n2801 33259\n18409 82285\n327 55326\n28635 85784\n152 48957\n72600 81986\n3692 37845\n15340 21623\n13589 85937\n6228 93895\n40758 55022\n73356 76877\n24151 58695\n51693 71465\n13536 17818\n36517 82090\n19704 23783\n7066 58741\n65621 73424\n9556 38455\n15090 24990\n40161 92436\n1469 81783\n11773 65157\n21788 97890\n22948 93434\n9487 49590\n42605 90287\n53376 55941\n39549 98661\n33103 42813\n16757 90511\n78883 83573\n14988 66595\n24420 55597\n28495 63279\n17349 41913\n14285 30475\n82661 86822\n35826 56955\n45037 97931\n25097 38810\n62047 90913\n29530 73274\n43990 88286\n7241 73497\n67309 97322\n28066 92301\n52728 55127\n17642 59666\n763 47614\n5265 65366\n52479 61699\n44160 44973\n23153 58038\n2205 91911\n45695 50856\n26132 89222\n76014 89234\n7466 66251\n12901 27508\n81072 81529\n32189 64819\n74018 87830\n9326 46511\n1754 38962\n48868 55909\n53826 79590\n13507 30401\n760 34053\n46737 53654\n18617 99025\n43407 63563\n4396 58120\n46358 46369\n17687 60513\n45594 78658\n38718 40505\n21782 82255\n12424 13753\n34834 56871\n10718 41896\n39697 62843\n18691 83430\n61083 83467\n74588 99083\n42987 89711\n10894 35270\n46513 85607\n78783 85068\n6152 45827\n49397 83218\n44855 55883\n27769 96856\n27568 54392\n16258 36045\n59619 77847\n14507 45710\n3119 54134\n64080 78306\n37675 84926\n12243 32363\n17612 86484\n65096 96950\n3519 43039\n53838 67954\n44424 44867\n52848 84985\n89638 94050\n22612 65715\n2305 92433\n62999 90278\n1358 60275\n38436 84698\n19947 76150\n36158 92801\n31260 56072\n3300 26156\n79259 93815\n31303 71132\n49233 53940\n22469 65159\n34908 37673\n34286 44515\n43143 88004\n8664 68048\n34126 40319\n11849 94866\n33652 69225\n34069 79909\n11864 42126\n43519 93145\n19731 57137\n78075 91524\n6789 93880\n25739 89599\n31615 65384\n75416 77196\n19191 91312\n16150 55712\n8421 76396\n44347 85462\n63581 91149\n87220 99638\n91662 92982\n11509 14971\n57150 81774\n8850 12889\n59524 65817\n24685 56893\n4572 69663\n53531 87277\n23544 43423\n60226 73010\n11530 18551\n10238 84256\n61235 76952\n62041 97134\n77589 82133\n21953 74583\n68501 86414\n46334 54331\n34078 86551\n511 46898\n30618 58104\n14816 52534\n43914 71275\n65016 84518\n81683 92715\n41544 51597\n57261 62254\n17604 88641\n91122 97070\n4818 8869\n57781 80241\n12369 33222\n69269 99174\n73492 86478\n19047 59320\n56216 96171\n18076 64904\n62182 69468\n14063 85915\n27663 37221\n32863 94238\n56594 59715\n79244 81934\n5182 5207\n26329 79850\n8554 11984\n37840 79142\n65898 94603\n16503 82491\n13437 55915\n17517 61378\n41921 92028\n32930 80906\n11879 79956\n14239 91068\n56894 84695\n5880 79530\n52498 97864\n18389 80851\n15043 80858\n48856 57475\n18904 79445\n31036 41174\n75350 86929\n10538 76936\n21654 57891\n74820 95171\n13024 21090\n10342 79219\n77653 88097\n17345 72274\n44342 47263\n22651 59723\n15264 90059\n60140 96769\n36052 94033\n46405 54660\n70651 80214\n39786 57279\n49245 53648\n62165 64549\n47070 98679\n83467 86401\n1415 97821\n27212 32949\n47363 62450\n4673 92113\n46722 84181\n81863 88393\n63828 86440\n43562 95575\n95248 97211\n17048 92302\n17433 39620\n31453 43190\n12373 91148\n37519 91063\n28945 34359\n49636 82295\n11854 90854\n21652 60852\n46342 51649\n6098 40194\n55181 90246\n39773 83685\n817 49191\n51894 55628\n68513 78994\n10408 74615\n47767 71809\n51078 84914\n10258 93797\n48615 54741\n14954 60218\n43639 45219\n26279 50301\n20446 73328\n90465 90884\n21218 56685\n27202 70802\n54151 79353\n41096 64160\n34619 82934\n73461 80973\n80769 90890\n90147 94154\n25014 70815\n17515 77808\n67357 98520\n62184 88730\n30144 51224\n8182 56892\n45602 76029\n1455 32788\n37112 82091\n59811 61256\n28422 64095\n29004 80672\n6418 74390\n37909 70545\n56647 91829\n33514 63309\n5255 48868\n87720 93223\n6520 18878\n91729 94943\n62410 96360\n4836 31898\n23667 52783\n75219 81674\n26414 41395\n61559 89181\n57088 67045\n73042 86947\n22511 96358\n25069 55022\n69035 87533\n8937 63215\n16924 84912\n19532 40537\n40184 63357\n33121 86402\n528 85573\n60859 99429\n4061 55697\n5605 33219\n4692 93475\n3952 97328\n13499 76783\n59185 70533\n71475 81205\n23926 32979\n30319 64370\n11522 45361\n59947 82544\n4664 15085\n37311 72702\n52657 82085\n315 33482\n29397 84612\n6967 41389\n19231 62024\n37718 49715\n20122 88619\n88091 92020\n9206 57244\n32 41368\n11823 36379\n202 70369\n32092 98849\n65837 68823\n47418 49461\n6614 75611\n30545 89924\n38291 69370\n45808 53325\n1645 90241\n28786 87660\n13994 95752\n36796 62704\n78058 96121\n40332 44717\n37177 98030\n28530 52848\n78878 97896\n53557 81900\n52401 69718\n25309 98677\n66766 96545\n34360 58363\n11985 16914\n38838 90252\n40776 81520\n12742 15000\n74252 89358\n12129 63549\n68595 94740\n3655 74302\n20453 37971\n39417 47503\n16094 97890\n56602 88137\n49627 93104\n60379 69775\n13234 44063\n59289 97801\n88675 89046\n46036 70592\n39672 78066\n62512 64487\n23244 34698\n36607 81836\n43451 57714\n45965 98103\n45458 76515\n18762 33532\n58924 90295\n35539 77462\n2334 46436\n68693 82657\n14652 33243\n35705 62360\n41814 75134\n14586 72773\n32613 38285\n54973 77641\n28406 51541\n32117 38735\n7742 72548\n32604 54821\n64640 87401\n11969 18582\n19842 99070\n75886 99050\n9516 26863\n34945 36367\n59395 85755\n20170 26568\n18459 67133\n25082 28687\n25443 54103\n40139 80901\n19467 90228\n17571 62495\n10953 78579\n21814 41784\n22421 83043\n59988 72948\n40930 70206\n31043 52108\n8853 14080\n23175 62362\n33501 41182\n30913 59968\n83104 91960\n19706 59522\n22211 33337\n61194 91587\n528 95051\n69042 73664\n31900 33710\n88857 98647\n44142 83407\n21419 51457\n38127 59491\n55823 99586\n4392 18611\n55472 82457\n42746 76225\n36338 66559\n15373 53416\n22311 40360\n35077 97198\n31616 60955\n21951 80123\n65304 89083\n33662 94469\n33459 84324\n3749 39455\n60914 98073\n78068 92876\n10058 99464\n55802 99115\n21309 67106\n34579 61365\n9754 72568\n6510 36279\n21103 23220\n41419 99175\n62823 88001\n11318 24396\n27359 96319\n35378 90150\n34875 74910\n23933 62115\n81181 91747\n36903 64582\n15472 89167\n71367 74756\n17507 76171\n68228 73949\n66933 71342\n22596 44455\n64091 69162\n9154 35852\n18628 58311\n24229 50712\n1259 2585\n77331 81103\n64329 78863\n28724 45451\n54834 91728\n24551 93811\n50772 90231\n45213 46930\n30589 94088\n23110 87496\n42896 77747\n31707 54903\n31600 67138\n15203 83456\n27050 72165\n37581 43934\n7916 51302\n7261 45947\n59479 61341\n76510 97841\n67477 87335\n28204 39342\n64208 88038\n73839 93422\n70492 91537\n3346 93887\n23733 86218\n19251 95958\n4943 14841\n3785 30362\n6925 71103\n2788 41989\n29051 78305\n6099 68334\n34894 37250\n44359 59858\n24951 88095\n88153 95887\n28533 94033\n31193 98249\n42768 42770\n68534 94541\n12965 43898\n44192 74547\n28604 54648\n4547 68048\n58138 92065\n51685 75035\n28502 47473\n27823 35283\n13570 21603\n17014 96477\n3612 38343\n7036 22837\n29047 87331\n13021 29134\n39035 76627\n25209 47041\n16427 16577\n29187 94460\n45187 97387\n46793 65299\n18296 31915\n4324 36049\n28014 51707\n22594 87868\n9568 27398\n3699 97846\n4780 20932\n42208 42500\n50783 94869\n15364 22038\n14545 87849\n4933 18503\n18163 96561\n44287 93212\n51293 75855\n4190 98839\n61614 80232\n16078 33634\n510 28819\n37064 54304\n31969 41798\n15551 91540\n29430 49893\n13298 19914\n19247 56382\n3937 98334\n31685 61457\n13575 97612\n25585 93922\n25333 40743\n43688 64946\n5841 27170\n71825 98449\n51243 83207\n2924 91562\n14343 33478\n52007 71664\n46667 77136\n75580 91819\n65084 84574\n71694 86722\n43124 45263\n4603 21030\n50658 79390\n11479 49690\n27442 54053\n42614 54651\n11124 79743\n16626 60135\n24017 75375\n54310 69962\n24891 94235\n26558 75445\n16232 69635\n47661 96470\n3096 59287\n15264 98804\n2663 16460\n63650 91086\n2550 52593\n26584 58798\n14353 64178\n40520 82934\n64213 67211\n9823 35761\n13356 30101\n56403 60982\n61813 88894\n4141 37828\n67579 78682\n3536 92065\n28229 93711\n19705 94987\n17193 37264\n53822 99134\n9951 25870\n26373 54834\n21523 75066\n22581 37812\n51874 90167\n95403 96314\n2249 48088\n38458 93853\n48728 92255\n6141 27882\n88353 96386\n10513 13448\n39100 59404\n77442 97833\n39043 39687\n9651 73051\n15706 76550\n23275 57912\n24379 77197\n24590 74274\n13010 13530\n22328 99469\n26365 83393\n41723 55166\n2834 39573\n23536 84618\n45290 75425\n61548 62426\n10574 30967\n17925 45637\n55018 78743\n48871 80236\n66708 80287\n5927 30911\n12044 82831\n34711 48569\n16826 54329\n6654 59498\n15444 82861\n77869 87689\n46833 91982\n6614 44067\n85016 95017\n22822 50968\n2785 22787\n32201 50587\n8599 60649\n61932 63394\n44557 93913\n83103 97820\n62418 86646\n26962 82937\n26047 46913\n19023 38106\n24518 60975\n93210 98730\n12193 44726\n40806 85264\n58033 72663\n46099 88313\n5795 98155\n4680 27566\n25023 45378\n7874 60570\n18422 59436\n68339 75653\n42027 75802\n42833 80463\n38044 75140\n9111 35800\n6638 69929\n17370 51736\n34995 37084\n15564 51731\n4409 41298\n86720 90835\n22574 33693\n59070 76280\n42099 75284\n42612 87198\n31878 52838\n54248 88535\n67380 84181\n44016 93290\n4978 86415\n31199 95271\n80369 87623\n13516 30945\n33147 99998\n22617 91030\n58806 96972\n50916 81590\n15808 31795\n6386 41966\n18262 81799\n1923 84173\n29876 82925\n54900 84977\n28346 51754\n3459 73268\n40490 92974\n90450 95745\n9228 88515\n22263 93792\n26999 62704\n18060 62410\n9881 60430\n2833 45277\n18692 85304\n42242 62256\n4256 31012\n80009 98418\n45398 60266\n28576 31793\n61185 64943\n329 71262\n37240 63508\n66901 86654\n12494 91165\n33303 95498\n3317 69672\n35677 83484\n18368 90613\n2664 88337\n23563 98230\n38410 61241\n17291 95482\n55405 82766\n4017 72988\n42002 53878\n13196 94584\n7500 8052\n23956 54910\n34885 41184\n49343 66484\n31615 39518\n11661 92044\n21058 59916\n32541 79306\n25431 55392\n57097 88117\n58927 63735\n84243 84316\n55010 69409\n904 3475\n14647 99539\n57440 75594\n32387 60348\n13020 70554\n81848 87096\n30306 87702\n1461 11578\n2556 43312\n3213 23452\n36084 78744\n51650 77353\n15065 31778\n1296 50400\n23870 37739\n9651 10073\n21337 21587\n66978 75677\n22385 85008\n36314 46752\n23202 69696\n57236 76691\n28513 38804\n60893 73469\n10320 45155\n12397 51169\n21642 85316\n68542 94963\n17963 95892\n28733 63493\n18366 49076\n61632 65067\n8704 82185\n14638 57448\n9529 45265\n4437 21321\n8934 29136\n33932 53683\n7988 89290\n6500 84405\n77942 79110\n66573 83972\n63421 78948\n40295 78695\n22870 65621\n91558 93059\n29797 98010\n32345 87660\n17722 43029\n31336 99869\n22898 71053\n64077 70358\n55638 56908\n40874 75508\n34041 61361\n48663 80021\n59912 78395\n30667 98835\n58301 78445\n46428 92715\n40722 92831\n19011 79149\n31736 44634\n43836 79485\n990 49477\n30570 64835\n9580 74097\n63913 75327\n9437 46529\n1765 6288\n60054 82711\n15638 87369\n30014 31597\n81511 93599\n39751 70834\n23263 59579\n48141 71303\n10229 56968\n18870 20393\n8426 10231\n11676 83686\n49214 52818\n11556 56319\n15396 55298\n60051 71020\n41491 55820\n46078 90240\n20022 71386\n24765 77064\n34425 56463\n82325 86026\n37555 71463\n2382 80874\n850 38661\n26636 88315\n43292 48628\n63049 80060\n20354 29967\n20150 36286\n55093 55841\n30214 33915\n17280 40714\n70459 84983\n15173 68379\n5467 29670\n65089 71319\n16056 48476\n10672 25795\n3641 76286\n18006 77202\n38958 51801\n3700 22171\n16664 93963\n34417 44657\n41741 46232\n10975 51253\n13710 70519\n4844 99480\n2154 29008\n19185 99804\n20954 62383\n4466 49975\n50345 85168\n48466 92018\n7387 92813\n8884 49368\n30526 85013\n23513 33740\n41706 80303\n6557 29701\n21424 32800\n10030 32715\n26872 35506\n29858 44860\n3231 43021\n17914 31329\n33918 86180\n44580 77466\n38084 80913\n24614 73290\n26844 54607\n12663 17191\n13829 70131\n69831 88527\n33555 40354\n72910 79595\n19841 64541\n11424 22312\n75010 83756\n37735 56339\n44570 52521\n12427 76686\n42624 94658\n43716 90354\n1340 43542\n45506 63028\n36699 47702\n6582 14805\n40514 57943\n44008 77867\n2003 75691\n16666 74395\n14214 34798\n51078 54974\n27230 55475\n1951 64691\n25542 32858\n49956 58077\n1344 55376\n8880 25755\n12355 84275\n11864 31217\n20439 46059\n39582 80773\n72668 96715\n53097 53355\n35354 37266\n50070 79213\n31735 35780\n2967 13100\n61331 80825\n24235 53757\n2742 60510\n11232 96628\n20631 72811\n75870 78112\n49835 50086\n15839 50440\n50228 97656\n8312 22922\n9226 74878\n77822 82164\n5997 63022\n82818 97939\n59338 99592\n10432 40405\n20598 36257\n17788 77275\n5648 87126\n54485 60211\n42358 64824\n19403 62733\n48976 70470\n11537 38900\n5356 57886\n37878 82295\n24204 82348\n19210 87921\n13505 89593\n24721 54058\n54792 55988\n22972 81569\n27525 58300\n32494 62136\n50575 60417\n9984 49070\n45565 70020\n52648 88882\n71596 81984\n34189 64379\n7848 68230\n56588 71092\n94171 99042\n59597 86972\n35025 91983\n42528 77191\n29665 94731\n49432 53054\n37817 45009\n4252 14993\n33835 35048\n9490 15783\n10699 77274\n7124 67786\n10405 86042\n5803 58269\n15120 90446\n54049 60167\n64234 76059\n68339 95710\n10889 88048\n23822 41547\n61198 91220\n7261 15353\n22203 93006\n71083 82415\n2010 75341\n77458 84044\n8059 85512\n35087 38639\n41220 71203\n43505 81288\n68559 76853\n21825 26428\n637 23434\n37665 83478\n25197 90650\n77888 81249\n27343 36692\n10461 19013\n5433 95697\n20449 95037\n11911 26396\n37827 58451\n4759 27283\n5003 40038\n53535 89519\n34260 54695\n68601 83122\n65800 74120\n2113 15231\n73362 92257\n202 95090\n60555 67045\n67772 83043\n9005 75588\n66247 91669\n708 10123\n16564 70490\n25768 72978\n18553 89761\n37432 62060\n27988 36490\n32379 50819\n3588 41044\n76938 88819\n13626 53305\n49113 59156\n4872 33253\n25248 87505\n69445 84470\n30764 94790\n43965 63376\n10699 32116\n18452 86773\n27386 40788\n50894 69058\n7942 52574\n70752 78038\n67427 77813\n20228 38756\n13956 48500\n12063 83200\n9367 45434\n19908 31343\n39623 92968\n30212 99976\n14892 96476\n62266 86483\n22444 95819\n3768 55322\n10222 32303\n48452 86134\n4050 18435\n25549 32203\n554 1798\n1152 31818\n27582 35355\n51964 66685\n29234 72891\n51145 87503\n4246 84487\n36196 40924\n19466 34264\n20484 30320\n9067 61910\n43813 55373\n26363 54288\n14182 94140\n65 65833\n70029 74898\n5808 7746\n16644 26214\n28490 83755\n4027 36570\n5973 77524\n60858 89600\n21447 40153\n23369 29922\n67107 79962\n91310 98190\n28741 90664\n41549 55652\n7321 32361\n29951 47168\n70442 84178\n8840 96987\n14416 99163\n46134 85295\n10133 94568\n83950 96542\n15497 96124\n51007 77202\n45157 50115\n34584 78515\n33588 49674\n15205 91608\n12819 40565\n58749 90434\n72560 97223\n24569 40743\n36090 86001\n14748 40775\n34190 42423\n53170 84381\n6038 80801\n2031 15686\n7972 28654\n47694 52689\n46337 74959\n10159 85544\n57994 98673\n34664 75987\n21394 85446\n4537 13082\n43813 82611\n48993 55070\n24010 98883\n34544 34701\n5295 72840\n21753 45930\n83977 85463\n1992 10709\n57349 89110\n50185 52961\n23580 66491\n2970 36925\n52014 92386\n62391 69297\n78351 79139\n38347 50467\n24741 98109\n38587 65343\n40475 44030\n14336 39963\n27999 79687\n440 69252\n44197 64759\n28434 63709\n45927 86414\n10329 29663\n48161 96517\n37564 69780\n1486 17144\n44229 55313\n71874 78316\n42135 98486\n4379 44064\n48848 65152\n64121 89182\n50561 90138\n252 36048\n22319 85804\n2757 72646\n294 19293\n8720 88403\n66225 77254\n16305 44586\n5578 79062\n45516 95217\n73282 88542\n5979 56333\n71950 99364\n9701 72131\n26523 27318\n31748 46350\n83618 84407\n65547 67000\n8090 23193\n16580 69421\n1993 28814\n23393 83309\n8541 92932\n31851 88810\n36859 48815\n46651 84879\n42878 90970\n16657 17956\n40336 74710\n10392 44511\n1902 2857\n10678 77728\n25288 78156\n9391 80311\n2715 11909\n6755 50863\n90648 92327\n11577 78674\n12325 41702\n43541 78440\n78842 80750\n47702 67253\n36720 69129\n43665 72982\n54000 95759\n27397 67501\n25738 35171\n52430 52919\n10465 21611\n20508 74188\n32987 71310\n49974 78947\n12323 66842\n7407 7877\n41126 91101\n43030 93754\n27440 67289\n20216 54600\n10368 63315\n1381 11803\n28884 36010\n7635 26739\n66367 86417\n54645 71541\n34088 44689\n29832 79589\n22031 38907\n6618 71483\n64940 87286\n13608 68092\n7440 72740\n92322 99540\n48185 82523\n9076 89876\n79342 95906\n15878 90045\n13928 31134\n23607 43756\n30967 60019\n28776 33415\n67115 93201\n54486 60288\n65655 66450\n2215 33405\n29566 55929\n56624 99224\n28864 39048\n54177 84279\n79737 80261\n10353 37036\n21071 78219\n28136 41606\n29041 48741\n30421 46586\n83609 95217\n41219 47630\n10694 33982\n28504 53746\n42098 58480\n10361 72731\n549 49705\n84383 97058\n59244 81727\n93410 97296\n27182 63717\n67251 90616\n44072 56630\n71839 95803\n39528 66398\n69328 70543\n72296 93876\n7749 12326\n65431 71371\n47552 86053\n13418 91187\n66834 71761\n37938 72794\n12090 75099\n19504 92417\n62200 85045\n3939 16654\n31150 31881\n57482 75246\n5184 91554\n31917 59860\n64603 85569\n4196 76977\n7657 32282\n92440 98669\n7234 23336\n37000 71950\n62051 86157\n26640 90164\n38867 89004\n8633 87619\n16257 65089\n4296 20338\n36004 81010\n8194 96019\n27981 77289\n6419 46549\n37372 47301\n71354 83755\n75289 94215\n6803 95913\n23316 91106\n9016 59942\n641 15743\n44254 47417\n17659 60474\n26271 31191\n25229 30789\n17431 33841\n12587 15638\n65097 80973\n38437 40959\n5541 36255\n10117 12485\n20096 70542\n88914 99914\n45743 69794\n24000 67733\n16644 71974\n1898 90013\n54706 68794\n33367 42778\n5410 77853\n53872 74103\n8843 41541\n20146 59068\n68337 80083\n37417 83477\n8014 19719\n64984 92198\n58106 69835\n66066 86369\n10388 28532\n39379 75997\n12122 77049\n1765 24878\n83706 87252\n81015 86277\n82243 90047\n11977 60526\n9999 13255\n21996 27544\n18378 21657\n47882 80629\n68166 82896\n44636 58933\n65875 80773\n70836 94873\n66454 74840\n35440 90120\n57792 80103\n17573 88181\n55314 84106\n17698 40174\n4919 38519\n73715 91253\n5083 86218\n68565 98368\n978 4272\n15138 75886\n24943 93544\n71199 71338\n56219 66499\n23232 81277\n36301 48418\n39486 88211\n41562 46780\n26950 39494\n19853 93103\n28495 68431\n18328 47778\n10001 84616\n72747 77028\n3558 33441\n11560 98282\n26125 97417\n15396 48444\n17812 37286\n16055 51250\n5658 93472\n16648 38093\n44730 97426\n43086 52132\n51281 95518\n22268 31322\n394 81148\n22307 70128\n52340 95420\n4215 48265\n29676 69636\n36381 50211\n19179 88431\n43081 91362\n49238 70835\n49403 95304\n61088 93812\n15932 76935\n25304 80587\n61551 84114\n43731 97381\n85349 93422\n7387 60639\n6516 15092\n9888 84483\n26618 75995\n31339 93530\n8961 76482\n17911 66572\n80379 89631\n30055 58171\n77456 97692\n27115 39205\n13329 47225\n5754 86215\n45272 81957\n44168 54431\n21474 71586\n63197 85712\n49863 96295\n30198 51274\n9118 99948\n33929 44301\n58872 93567\n48087 52901\n39587 82085\n3278 30789\n46229 93700\n15334 31695\n11446 13982\n66668 69573\n33194 76453\n22051 39328\n20267 81268\n3546 46626\n4010 4180\n25407 34810\n41168 53833\n44317 67564\n4068 85052\n15995 79634\n28975 74010\n20520 24824\n73861 83885\n35371 92065\n46973 67159\n912 13621\n4208 72877\n66016 66877\n16278 70604\n64388 67650\n4877 23611\n17531 84794\n2351 79415\n49197 92497\n5091 20038\n27150 35672\n64967 97562\n22564 58256\n18553 46833\n63524 80598\n63169 91863\n29274 58671\n3525 92523\n31936 54265\n4246 46338\n5332 42297\n65120 84213\n30880 94662\n9325 65386\n18659 34321\n55926 98872\n2643 3708\n67520 92874\n80231 98238\n13679 29985\n91142 92287\n69585 74276\n1066 77833\n24607 86776\n52016 60481\n65476 76543\n4844 7145\n79025 88421\n51209 73384\n39967 49142\n5419 85128\n75361 88330\n58934 84419\n88254 88698\n24872 40429\n14915 75177\n8065 89510\n38803 54061\n28407 97154\n2537 26748\n18660 82413\n53666 68228\n39435 66327\n41450 79748\n32032 89754\n8465 80397\n41003 93520\n9789 94293\n523 76135\n48484 61872\n48450 62676\n64944 76896\n33597 46394\n32223 86175\n57076 98832\n53181 86854\n57856 93433\n1766 44065\n51382 54314\n38159 39719\n69446 96282\n10770 14561\n8266 73091\n3699 18705\n59632 66884\n45539 92672\n22252 94880\n14470 68788\n54239 89939\n89993 98115\n4748 93540\n3830 94360\n22589 27624\n17883 46456\n16732 38964\n70154 73548\n48791 96925\n41663 85306\n30202 45149\n25524 39535\n10067 72390\n78844 87175\n1621 92074\n44196 86830\n91820 99924\n17 46\n62006 94476\n22420 55394\n59784 66140\n63064 93740\n68552 94081\n1226 29002\n12825 87307\n25928 90717\n52195 85760\n37855 95751\n36725 42996\n72746 85888\n63463 74288\n55794 57271\n46960 97680\n59451 95709\n21709 74115\n50 5179\n44620 47946\n65585 72663\n18085 20531\n13641 14515\n8095 28449\n63315 83179\n17209 60008\n6474 97688\n11896 14679\n21209 75870\n64640 72729\n19622 39898\n437 24947\n26417 50411\n24798 32227\n12713 37113\n2244 69803\n95940 96877\n34621 76621\n47260 92350\n32241 83644\n15699 36071\n25080 63995\n20175 30457\n849 52118\n18067 68206\n13914 49071\n25226 42246\n17104 80462\n36508 61587\n17843 25330\n4660 19122\n45689 67505\n65777 68995\n30478 54159\n9672 65285\n44775 95103\n31043 59684\n29548 32760\n83809 96216\n48924 91618\n72169 86217\n21266 39606\n23791 56224\n64747 73073\n38269 51118\n37700 99710\n49335 56912\n12940 34325\n52485 53612\n40008 83201\n60196 64464\n30286 75333\n2921 4699\n56754 75000\n14396 62844\n69041 82968\n4178 9449\n74800 80202\n34893 39708\n82830 98771\n31822 95291\n20223 38303\n68918 82327\n49587 77010\n28576 74272\n38292 46771\n43891 85317\n70389 87738\n31051 45908\n40888 90698\n6113 42433\n46104 46140\n59522 91919\n12654 24701\n13598 49107\n25370 34161\n41954 75063\n19094 40317\n75600 76007\n27564 98162\n38957 70431\n45785 69821\n26691 70710\n35500 63893\n4447 60410\n70125 88993\n36122 98530\n10820 70533\n2054 44463\n27090 74601\n49755 69575\n3592 40681\n58922 60458\n3539 53684\n53925 86707\n15747 87390\n46514 86152\n72158 79217\n9819 42899\n83777 99327\n82435 95303\n45747 80352\n77238 83569\n36315 64936\n70189 80154\n93572 97251\n21278 55791\n71656 79549\n46325 53042\n5870 67583\n48271 94291\n24424 38670\n9392 66595\n7437 97300\n26670 33709\n38127 47187\n88881 90197\n62021 89841\n20050 99341\n35315 59254\n13484 65821\n7790 70957\n63752 97758\n32678 64728\n23612 86601\n57047 88959\n6156 85929\n13707 91011\n12992 94095\n68587 80161\n26517 96854\n22676 51379\n67804 75473\n7927 21668\n33169 41212\n52506 81111\n2447 46633\n92053 98108\n32002 70515\n10067 29966\n21470 41299\n46192 80546\n28155 72946\n22435 51872\n33031 35029\n12084 82087\n29168 34123\n26099 86066\n53441 57820\n30323 38987\n13737 97647\n16429 21409\n11461 56674\n19475 50102\n14881 19345\n24526 62205\n17636 79828\n51552 82981\n14518 18632\n4656 8070\n52386 68524\n29487 87079\n16086 39267\n28556 76143\n11862 38089\n67489 72392\n41952 46836\n32188 41285\n23549 34853\n82772 90657\n62780 79514\n23774 25435\n14230 84833\n50703 80040\n29810 55990\n48050 74157\n33882 94625\n13426 98675\n55497 95372\n46326 78644\n54377 88085\n60373 80403\n53731 71688\n11742 37645\n52664 86592\n26977 90751\n62116 89595\n47522 88964\n16215 45019\n2248 99495\n25257 44518\n1020 43002\n90733 93179\n17305 29788\n19188 37691\n36740 78305\n41835 99040\n7270 20637\n54389 79083\n58029 59297\n93770 96151\n30539 67805\n5884 52913\n12697 20991\n24181 35626\n13485 24415\n16284 62773\n6777 12820\n1239 94421\n14700 22911\n11676 78894\n2338 22533\n6087 96848\n53882 55367\n10777 27334\n805 38197\n1703 24462\n30989 98419\n8811 33684\n38095 93076\n17074 24779\n62191 98205\n74662 82849\n77948 87475\n19094 27334\n18080 71386\n7108 94788\n42471 72862\n66845 72852\n4086 5582\n9277 62792\n21671 89998\n61780 66284\n22201 77359\n75836 92417\n77174 82322\n22011 91556\n9208 80588\n47032 70059\n69826 92819\n10915 33317\n31559 34319\n91257 93708\n76078 94152\n69670 70379\n22598 55134\n35469 99675\n8327 41944\n69078 71020\n86774 99707\n272 19842\n25606 64505\n37168 66272\n3498 21871\n3631 86150\n55079 94617\n21783 43198\n34852 83705\n18047 77133\n1961 83205\n19686 23607\n21460 45274\n3724 53619\n40561 93843\n45570 92198\n56956 82638\n89070 91255\n69316 80231\n20474 59946\n42827 80849\n2954 5338\n9211 48039\n77188 81696\n36402 43734\n43034 67830\n8176 40086\n20867 69583\n4673 99630\n72164 78132\n58144 80124\n4075 25098\n20151 96665\n76240 90302\n12361 55046\n58529 74990\n7875 56263\n48611 88958\n3220 75982\n30164 69900\n15829 86034\n36718 97995\n23360 89392\n15628 77395\n45036 46528\n77762 80002\n17520 53377\n3791 25507\n17645 57263\n880 24044\n8640 48312\n14256 20982\n34713 52529\n58950 97362\n19628 37430\n2078 96381\n29959 46582\n58118 84262\n87657 91683\n38723 82058\n21222 32783\n9126 24030\n64447 86262\n4090 5882\n61426 87290\n6779 43625\n65287 67803\n16345 95103\n52844 89699\n10807 88701\n16118 17462\n27217 40658\n48948 72286\n63364 82013\n39381 49330\n10718 68269\n27718 78199\n40833 75055\n2077 19822\n9694 41521\n34049 41244\n13263 58545\n44009 73226\n26649 92769\n29945 72276\n5339 10941\n17944 99693\n12152 17449\n50905 93300\n72239 74765\n89178 91773\n43463 96569\n28584 50448\n35188 39687\n6218 41469\n71267 90807\n29515 41454\n38238 52471\n36114 81106\n27917 81506\n16490 81937\n46214 80287\n47297 55749\n12220 99213\n60416 67175\n55475 94881\n36066 97916\n15503 66545\n14437 47859\n46314 98089\n33621 96927\n27316 76674\n50145 91959\n21267 62976\n95230 96843\n40219 62726\n26181 36068\n2476 51154\n38468 83553\n55820 78444\n982 72737\n1679 76177\n9399 70282\n20126 56324\n26109 61159\n40086 87397\n10304 93898\n65777 72923\n31944 86534\n5874 46339\n50544 78830\n17227 86909\n17369 98601\n596 78261\n76023 96089\n23921 28899\n44950 67905\n76239 86625\n5577 7377\n28190 83548\n11335 78607\n25528 45641\n7082 34190\n32678 36608\n55542 92676\n25283 79286\n17359 80991\n5196 69512\n27650 68240\n19027 39081\n14953 40836\n9082 57007\n50846 71331\n26873 95964\n44205 56243\n20676 28979\n80541 81231\n25329 39494\n62936 66848\n64297 71530\n8059 11105\n27233 28646\n53913 57321\n10569 92571\n7920 86441\n3868 60956\n9396 93821\n52105 56295\n15254 31063\n77115 84187\n79562 80524\n1075 43248\n28003 38264\n59233 72473\n58324 97164\n43954 76353\n15770 36248\n4350 99848\n30482 99121\n94788 99947\n18441 49016\n66117 75977\n36942 81860\n88817 89381\n32861 68474\n37059 73486\n62267 69660\n8418 96017\n41552 82200\n3605 96219\n40116 94994\n15899 20797\n6009 19389\n83721 92068\n19167 92651\n72696 91877\n20605 29961\n18976 89006\n4393 18254\n48616 74826\n29298 41856\n7873 52978\n24579 48634\n47768 68591\n32090 60189\n57194 81695\n1098 75461\n17868 39530\n58877 65867\n3714 67581\n20762 71228\n28893 78269\n3818 79312\n430 21940\n5843 18517\n9080 76861\n54615 69870\n12503 32831\n4430 17227\n26148 46298\n23751 93928\n82773 91302\n86732 86950\n42358 97008\n3498 62310\n44520 48426\n23752 32227\n29148 97907\n4213 70060\n16368 36136\n33273 66480\n54403 64955\n26073 52389\n63649 97682\n38229 87656\n77078 90890\n17834 52582\n7495 75354\n29354 55825\n32020 94783\n44649 45486\n22762 96711\n25670 35295\n9106 41228\n50341 99341\n52075 53171\n11928 53934\n11880 59906\n25600 33304\n41234 47962\n61987 79880\n62804 73155\n18405 82897\n76943 91473\n21853 63749\n10037 39898\n48182 64904\n21534 54188\n15239 44532\n42666 54690\n83273 89324\n4483 45425\n47268 51029\n41071 73342\n45002 76330\n52171 68521\n3961 77989\n13360 76407\n68120 76172\n1749 28399\n14197 86789\n17927 86626\n3347 47562\n14688 51309\n33419 39651\n67669 87394\n12444 85041\n73779 93693\n41008 93825\n36441 88391\n8385 99617\n85097 92264\n12592 77349\n16204 40549\n50745 83279\n21184 93178\n28747 77280\n72661 88664\n30131 76827\n45274 89910\n6752 83844\n41130 55546\n38557 81920\n922 82303\n51536 89277\n403 27656\n45021 45736\n29578 62774\n10331 61000\n52913 76269\n11490 24062\n5820 46876\n57198 58947\n5604 88365\n35839 44987\n51827 74381\n36050 63016\n53775 63600\n54657 98292\n9474 87560\n9356 88291\n68870 98610\n16408 32592\n9760 20643\n46496 90380\n18800 77842\n24297 63882\n25107 26310\n38554 81391\n41016 95366\n14702 50903\n40320 82308\n28295 43071\n12864 94151\n31731 89080\n39724 42336\n46369 79325\n66331 73489\n23104 53965\n51911 58952\n12593 26727\n36089 96879\n49567 56829\n17883 27354\n3266 54210\n5820 81172\n58640 93700\n2060 47941\n44283 46007\n51175 77712\n6539 11880\n68844 71564\n42583 63141\n80388 89912\n24474 69536\n25774 47193\n32458 34234\n77447 93584\n32911 72108\n16767 58514\n10461 30440\n23784 46012\n4310 94602\n20283 64597\n32880 93940\n22082 64907\n18500 82650\n12485 35506\n28161 87700\n38139 55416\n2969 69965\n20776 95370\n47279 66633\n39705 98267\n1726 79326\n4733 73851\n71817 79449\n16001 33397\n41445 45780\n31312 93807\n30304 94305\n7084 71948\n73776 98295\n22903 62138\n37115 49776\n38452 70661\n73035 79041\n50592 99447\n834 60553\n85010 90245\n19834 56105\n25205 83204\n54593 91502\n73110 84615\n14075 26263\n79891 98555\n47698 67540\n97733 98702\n1948 80984\n1663 37211\n33665 49130\n41175 60733\n17982 70304\n29957 39418\n9757 28102\n87260 96627\n51789 67263\n53633 82155\n65316 68462\n28071 84077\n23651 40661\n12891 74068\n48731 74938\n39890 87860\n30195 32700\n5074 31395\n92816 98683\n66840 80621\n32171 91562\n50383 76986\n9344 82683\n25879 51337\n5293 81293\n2666 25765\n19162 60838\n2080 31578\n18424 49443\n66757 95717\n51881 87111\n76929 77807\n6101 43891\n55981 63687\n11365 13226\n70691 82679\n8635 85253\n33860 45179\n30690 84786\n22615 36043\n849 46469\n51712 85035\n2046 94112\n52980 89113\n56456 87677\n32432 85838\n42858 73428\n19796 22890\n14938 19178\n29148 91659\n35365 78684\n31549 92739\n32129 74398\n18800 52212\n28497 38430\n933 79858\n23055 46356\n27199 43514\n70129 71446\n36101 88640\n27478 57900\n63797 98023\n9039 49367\n47067 60839\n43173 99450\n59226 98763\n34498 37798\n15462 63091\n14921 59279\n21583 55988\n82828 93206\n12390 77621\n60843 75117\n35431 57417\n19049 85589\n24925 93868\n10092 22739\n53763 95004\n678 20505\n1878 15244\n77021 98354\n33774 80616\n84119 96507\n15159 98455\n78113 82568\n35957 90426\n20467 20904\n18281 30810\n37527 46476\n88520 99932\n6924 28062\n28417 51104\n37068 76591\n34996 35119\n26673 92558\n68309 99249\n5145 47000\n4166 24104\n61745 96969\n29194 99875\n3813 67823\n51708 82831\n76462 85908\n18081 21410\n32490 94927\n86534 96389\n4110 52510\n41206 45009\n32739 82154\n85662 88367\n21254 59807\n101 57665\n33395 84772\n45334 96642\n24583 50387\n70378 80610\n1623 68857\n37129 47308\n58196 68185\n50118 66607\n5781 21070\n596 65231\n94665 97957\n61530 80014\n8151 55271\n35121 88446\n16223 81398\n15311 16559\n22587 87817\n12053 87871\n30385 62479\n14925 53105\n28415 42005\n23530 33295\n14722 73728\n41690 78659\n52903 77076\n13540 77598\n1021 27095\n88900 91577\n22657 34820\n23296 86847\n44864 51125\n12408 86019\n87240 94500\n47691 98936\n40135 48673\n42177 53481\n10214 78095\n30583 57269\n17701 96653\n30633 82259\n34318 41226\n21901 49967\n13010 72175\n44999 83113\n14738 47957\n56569 81866\n14642 15387\n13698 92559\n31807 71809\n36215 41602\n10674 57322\n53580 56348\n19016 59784\n52071 78485\n29277 36133\n12467 48337\n27125 98581\n9216 21840\n43717 95615\n7539 37353\n54226 91690\n49583 92015\n69464 84654\n28951 34381\n40198 66177\n3866 93552\n45198 65012\n25426 66584\n10396 20245\n24957 94364\n80769 96278\n33461 48600\n33883 88252\n40478 45843\n64365 78232\n25831 99783\n10143 49617\n16356 43222\n56391 69817\n57592 89794\n29751 44913\n16976 19659\n3823 79541\n1125 6932\n57951 64878\n29965 71055\n30830 40632\n28679 29981\n10161 32728\n86396 97606\n63139 81486\n98010 98565\n38430 56813\n7531 63738\n26210 60740\n40481 87120\n66372 95739\n19887 87607\n6896 92900\n7364 97514\n60703 60998\n26049 79832\n24808 31596\n2499 44859\n18347 28352\n14466 76471\n23381 54893\n24324 92233\n27649 65477\n48921 96996\n49998 76458\n47125 58699\n11590 19772\n18300 33270\n12357 86811\n28039 68622\n23341 93704\n13651 32382\n21711 59061\n33252 84833\n82793 84896\n44626 98546\n15528 98127\n30602 36102\n73007 79066\n30431 64329\n55849 56740\n37153 53696\n18976 98186\n38601 51286\n35645 50569\n70532 94375\n13184 26335\n38581 42782\n34033 47644\n24087 98404\n26670 81523\n12457 48999\n4614 79713\n29369 46754\n47283 77354\n52834 95289\n78820 81291\n66917 95991\n20316 52377\n24204 46230\n44099 53857\n5264 40181\n19496 69055\n55696 94153\n6966 39864\n73781 77240\n3662 46693\n8732 26438\n36465 50593\n65838 94107\n23083 97968\n49470 57858\n98571 98774\n54848 83283\n24453 60581\n21592 55578\n9239 41027\n52860 81424\n30432 76007\n52475 55739\n53096 55088\n14928 68263\n4934 90025\n18203 65677\n19014 81168\n65324 73912\n6001 83139\n85679 94036\n41759 84907\n16961 23241\n59146 74367\n33242 37110\n30569 79867\n65775 91025\n31344 90325\n25822 45714\n41366 94691\n13096 45708\n1249 45555\n53114 87682\n8565 57051\n70046 75789\n2528 5108\n16716 92983\n59179 90549\n26345 95692\n10984 45475\n34170 46929\n118 37116\n60479 93545\n3089 93798\n11410 70092\n77487 85668\n28726 65146\n10303 69763\n35611 90086\n20284 76975\n14300 62127\n52895 88303\n21877 81951\n44618 57997\n57765 88953\n20170 39312\n80498 80704\n42131 66228\n23652 73755\n29136 79493\n49515 85056\n62803 90704\n11487 53924\n21199 78841\n12833 24986\n69774 75617\n30402 92966\n40557 94957\n38855 71547\n88468 99207\n5254 60652\n9833 41986\n37595 63957\n83426 87719\n56262 83094\n29924 83309\n54539 62583\n41932 87046\n802 98915\n79681 84889\n48041 57657\n15816 25807\n1155 38190\n81030 82015\n29581 33717\n82661 85003\n7345 11945\n37657 60078\n20134 98386\n75951 76967\n76613 90456\n60832 72210\n7238 27940\n26118 72644\n4236 37506\n15065 98428\n17321 72163\n58255 84158\n61 57859\n42985 71784\n7861 70658\n7085 53601\n25264 27191\n6580 68465\n61294 68052\n29972 52763\n19726 71326\n36652 85557\n1795 12494\n18825 32389\n10229 79777\n60129 73780\n23537 99460\n12168 98866\n7683 74948\n50951 72363\n21137 21929\n35634 70666\n54774 96693\n68943 76002\n29885 60956\n41485 96247\n40661 63528\n41938 77622\n17769 27380\n37553 82684\n35785 89616\n3507 56778\n77132 92155\n13628 62138\n31097 32710\n48066 58354\n74349 99706\n30251 41773\n34107 75606\n43382 50557\n26983 81204\n24592 26009\n43940 89885\n1327 27188\n24390 75429\n56429 92132\n51400 72476\n14354 66472\n28715 82005\n35300 76616\n20693 42525\n23572 33670\n11408 59468\n25931 40184\n3712 22451\n10103 77880\n288 95488\n65475 72839\n96399 97183\n34902 78603\n18616 59081\n713 42527\n24713 32467\n17597 46258\n1248 18311\n14037 35967\n52499 87137\n23313 75656\n42860 60111\n60220 88349\n78154 98282\n29930 64290\n43208 84030\n42204 62772\n1393 74635\n87214 94994\n24265 46043\n23764 33596\n49856 55180\n59479 73684\n6672 24320\n65645 80819\n18193 26563\n81241 94811\n1220 34467\n19122 46295\n74991 86243\n2032 33305\n11804 14194\n68818 85676\n41813 81216\n17916 93575\n40716 93828\n682 28283\n13128 21678\n10968 60547\n11584 91215\n23688 48581\n68974 85571\n5815 19601\n64723 77331\n54255 98368\n11904 63346\n12722 66838\n69017 87683\n41933 56295\n37312 94003\n85979 97994\n12585 94099\n18387 18584\n48217 59252\n46948 88027\n20676 68283\n18271 77493\n32044 67691\n18670 83025\n78533 96892\n53147 73343\n59893 74497\n10531 89757\n27758 98176\n5619 36695\n48089 56616\n17660 22756\n33246 77644\n17228 40210\n60364 64876\n27699 38889\n61766 84791\n27358 66563\n46490 78054\n12310 78682\n18693 95281\n7936 62500\n81276 82322\n38867 47865\n3910 89299\n37420 56445\n1906 4193\n18951 66346\n48261 98604\n8104 92619\n13812 65550\n62382 99670\n29341 90815\n5438 64708\n60972 96986\n52360 59425\n69148 99304\n37531 61079\n12084 84452\n59273 92842\n94675 97577\n14734 88130\n294 2774\n41350 75938\n31170 37223\n6160 20663\n11175 79317\n49161 85201\n41557 87443\n58865 76015\n5603 30209\n5064 65849\n9591 78394\n25790 60012\n52429 74807\n33799 89944\n23443 36550\n17317 58666\n3399 63313\n54834 60946\n232 99485\n77165 89325\n934 6865\n37622 63116\n1324 82206\n2495 32381\n65510 91972\n18023 25615\n20066 35971\n30662 30690\n13300 35678\n44392 73872\n79010 99254\n15610 88076\n37463 80873\n76241 83333\n29887 43715\n5057 57170\n27317 99274\n53872 97100\n48964 55362\n57557 80283\n851 1193\n48449 80441\n82414 95212\n45912 62705\n72906 76439\n51476 59181\n46982 65356\n19483 98675\n52320 54170\n3953 72086\n5320 30579\n39211 80206\n57492 88529\n74101 83491\n34931 54796\n6595 6809\n10626 97483\n73381 95862\n20809 28361\n35166 87857\n73046 73527\n32232 75802\n55537 89533\n25535 72697\n24760 48249\n17243 66807\n31002 98187\n36709 76395\n76111 87349\n41875 63462\n13022 58027\n38133 43100\n4450 39700\n14278 44134\n21559 91669\n24856 96921\n32727 80762\n67584 72359\n23571 32712\n16928 98121\n15215 29957\n80875 88766\n56 25927\n47289 81798\n17635 81684\n11970 86693\n17863 53487\n78007 93303\n6531 99464\n19324 69497\n51915 88650\n1740 85593\n27996 62689\n92426 94996\n23445 72200\n46335 54851\n10688 50257\n69161 72948\n29651 96687\n13138 18204\n37918 76879\n34777 84246\n797 88166\n30659 89528\n23349 23699\n48069 94619\n19244 65092\n26554 75231\n32776 43988\n83963 91360\n30683 44278\n18190 98619\n47482 57699\n10824 39800\n11312 77745\n22525 64678\n1259 7384\n23886 63310\n10347 45986\n22992 82861\n59508 76721\n1984 52710\n775 98437\n10843 26402\n7393 63989\n31920 40653\n1238 22122\n2859 34034\n3865 19985\n20728 94036\n27669 42541\n38521 75637\n62591 93855\n56254 86550\n13687 80569\n18283 20382\n70880 87508\n55142 74962\n73545 99971\n51430 59590\n12820 65618\n6879 17550\n66796 87946\n39660 82538\n43915 53736\n26497 39423\n9955 82899\n40587 64683\n20991 26147\n75393 78439\n49685 51071\n66493 76408\n14056 61259\n6342 64010\n4065 64428\n21748 99923\n71605 73930\n11006 96904\n14024 99610\n9566 62355\n25174 38410\n23036 42993\n50787 58355\n68054 97759\n83915 86236\n46560 48967\n19402 88029\n46903 97735\n90786 91993\n43473 88812\n8219 58706\n2361 43296\n31166 38057\n6285 29295\n3452 38380\n79783 99763\n37231 51852\n40731 80035\n57016 98946\n80965 81296\n20765 86622\n22468 83067\n35143 77640\n39518 44948\n40138 71877\n8356 11476\n26232 99669\n51729 92444\n1213 96888\n57034 84987\n10929 95974\n10348 42551\n17018 18274\n10990 14929\n40104 98504\n30015 38023\n27818 28267\n8640 68816\n56679 70890\n22346 32466\n13980 56749\n9739 72598\n43280 77158\n29019 79025\n73849 79071\n70074 78916\n14047 47166\n4917 37561\n2779 48643\n3571 26234\n79722 99889\n2320 17718\n9645 48584\n20967 78658\n51307 83212\n13437 66907\n7175 46182\n533 1120\n15397 85086\n41034 89734\n38189 92344\n7467 92092\n9193 33307\n25800 50270\n7281 63501\n28662 77916\n51632 57780\n55224 97389\n28924 57053\n10934 40104\n8417 37976\n79496 89921\n3078 5348\n33638 56414\n40548 72961\n43019 49208\n27401 90231\n23224 72027\n15863 92068\n79797 83560\n19692 91886\n402 81879\n76051 95758\n72410 77470\n6357 72589\n35252 83348\n7556 44752\n51294 62490\n54417 78433\n48091 50424\n3908 21591\n63904 81134\n5008 57424\n9751 77030\n6188 42483\n52273 67964\n37328 61431\n34076 70253\n1765 99334\n73932 75477\n7089 30298\n26555 93900\n6457 21071\n42916 43941\n12594 19638\n35484 54885\n20728 26573\n54023 76171\n68260 70549\n4226 35276\n39950 52831\n44122 71114\n56602 61390\n28333 79981\n38977 74826\n41488 63587\n23045 65205\n5923 85609\n13939 78784\n30020 74914\n11598 78685\n6901 71884\n3140 38498\n22333 28171\n57634 68956\n23931 39353\n77615 91576\n29679 33599\n9943 31019\n3348 20320\n48186 59758\n23410 83136\n9655 16142\n661 15692\n36951 96837\n20562 68653\n25736 87826\n41469 51964\n21259 42351\n50287 76012\n38838 85125\n14290 37068\n54675 79087\n14341 74351\n11281 63732\n51973 73138\n40152 56333\n73615 82816\n89658 92823\n11071 20929\n14925 72464\n44990 50452\n63760 64551\n17434 26142\n6026 8705\n46962 87425\n37310 92494\n38434 77465\n38416 72475\n21708 82557\n27652 96002\n51835 72015\n50000 99628\n32545 34578\n38506 43144\n59220 90992\n55529 84054\n72454 82994\n12150 16147\n32773 97576\n40372 81515\n26246 90967\n73462 93041\n65672 94517\n15263 33926\n31306 38623\n26194 47210\n24023 75206\n36611 57271\n12448 20565\n33655 50146\n33150 34877\n12944 46182\n24510 77993\n66240 92879\n59764 66257\n30093 33658\n27078 90248\n43399 89877\n58047 72957\n58772 67445\n88454 99403\n11445 91106\n5078 82636\n35986 83159\n43518 79040\n2154 31306\n43686 51198\n30745 42200\n30276 92255\n14508 88641\n11379 85713\n44128 63472\n26834 75293\n51820 75501\n68234 90967\n17600 84532\n83518 91180\n42500 71116\n27552 78127\n33603 89788\n50203 66053\n4156 58407\n63063 87484\n59019 65346\n11712 23457\n26362 58301\n15637 22338\n4028 43021\n22306 88434\n10426 12850\n35488 65648\n11488 36462\n52853 86080\n9939 90000\n20334 27187\n29848 74525\n45873 93790\n7814 63961\n13502 68114\n41819 87200\n30595 57531\n2375 89604\n30716 53868\n31577 61803\n56846 71064\n43906 62257\n92396 96299\n86960 91207\n5433 19762\n29047 43655\n80478 89226\n13076 56866\n26142 41852\n6745 22332\n32822 83999\n30174 46908\n26087 29065\n77529 93256\n12536 85053\n63219 93735\n878 4894\n22136 51410\n74703 75276\n47475 57773\n9397 36629\n47003 70905\n9043 99752\n48670 68030\n35041 88679\n81146 89704\n32883 74014\n37293 93827\n34011 43334\n17125 24474\n9039 70866\n82252 99175\n76093 99712\n22808 67346\n7138 79951\n2544 76514\n32636 97399\n1019 67077\n49716 86355\n46390 68095\n39899 70872\n69766 72066\n24048 81684\n33350 93376\n57815 97442\n75101 91021\n4464 90811\n18780 97037\n89096 90098\n88956 93936\n20161 52276\n10605 84418\n38210 91303\n39093 54086\n78319 98285\n8558 19169\n16832 67836\n14328 46170\n18174 32423\n26312 63245\n9801 27581\n23017 30904\n26143 60450\n15058 27522\n77950 80750\n6657 61726\n24394 65882\n16252 77668\n64817 98847\n6360 23194\n77995 99796\n33503 97255\n65822 81342\n7591 36246\n23487 87786\n7266 48775\n46619 94716\n78367 96343\n28014 98249\n7345 44943\n1319 28070\n75009 81527\n6137 38940\n50599 98244\n54566 77931\n6083 81948\n20164 32791\n25695 57780\n24816 89818\n21632 29940\n18342 47600\n34613 83096\n30192 72944\n8914 48717\n27232 67422\n15988 81606\n9349 96716\n9949 45687\n25034 54679\n25949 99959\n9055 15310\n24734 49266\n7084 75802\n40339 94366\n23527 28443\n17133 28805\n86314 98337\n4813 14976\n10166 10766\n42762 64641\n17725 71334\n48731 86771\n30369 39211\n57128 84772\n9745 57749\n11483 48560\n41407 55950\n4064 97450\n12996 43792\n42897 97868\n26176 77833\n15541 80749\n11988 43672\n80194 90776\n63727 69849\n78050 93056\n39582 41912\n38574 60179\n16634 61846\n27582 87840\n10282 33794\n34198 80522\n16913 17719\n73409 73529\n20869 79360\n1513 25116\n29935 46259\n77922 99129\n8590 28335\n15749 93738\n26697 57738\n82033 89078\n22122 46025\n15969 74109\n80467 87486\n37060 75477\n32046 90793\n19037 52223\n31772 98001\n34716 71315\n53769 67293\n18304 68517\n18374 42892\n2531 14918\n44206 50221\n47481 73047\n22349 60318\n3369 26632\n3826 6687\n2178 48012\n20942 57151\n59947 71858\n5066 73541\n69572 84909\n29777 76097\n50816 74074\n839 48085\n9251 87259\n67255 80453\n29393 53702\n41538 42641\n19046 53731\n21590 98058\n17677 23667\n34883 61409\n17758 45987\n26456 90348\n13097 50912\n12935 95980\n64753 80976\n58293 75123\n21541 43103\n7626 30764\n52223 82222\n49646 89499\n37605 79821\n4978 78437\n58606 76492\n10954 74257\n53065 68156\n58140 82202\n43255 71259\n172 33561\n79015 90518\n2606 14371\n37384 89437\n37491 49571\n65774 75280\n3657 39648\n17161 23991\n61078 81972\n19829 36847\n4343 92563\n64399 94970\n24520 60284\n39411 86014\n9505 93551\n615 61064\n14588 80001\n4097 15476\n7684 37661\n12109 18278\n75964 82854\n41566 53371\n27699 84369\n52310 55770\n53969 99018\n64384 71715\n2421 7794\n1583 85075\n94958 95393\n44784 97746\n37151 41175\n1569 26427\n25317 96030\n55668 85989\n58334 58336\n20260 65711\n53718 73352\n13248 38494\n53377 93966\n3232 71989\n48148 92660\n66807 78469\n12358 31156\n4262 37710\n423 40667\n12622 92680\n2202 22750\n83278 90422\n32143 52331\n36407 49162\n21869 48649\n85528 98959\n52978 56901\n15112 28792\n5556 22468\n33101 71252\n3641 9104\n56095 69385\n11073 99512\n19069 48454\n21103 28924\n73237 85481\n32995 74109\n44734 65423\n86106 86409\n52015 67293\n13529 53500\n6302 83030\n24967 28839\n66263 72708\n557 20970\n20817 59111\n32479 71441\n12577 74776\n17579 94788\n14183 71514\n19093 20119\n32759 44789\n76536 97155\n62393 91597\n2527 38714\n6433 48831\n22579 73004\n13429 30129\n44708 91164\n53027 70280\n49942 95983\n14712 26309\n24166 85759\n5537 81378\n24055 81424\n9042 70774\n2712 77790\n44549 63735\n2669 16779\n34532 91548\n35056 77053\n93430 95402\n16973 20595\n11902 72430\n22889 49378\n36553 49763\n50929 77188\n27674 76709\n27439 44922\n935 66797\n9404 71685\n43343 83356\n23380 95968\n29809 41338\n19018 59754\n23004 24733\n43423 82795\n56150 57306\n71766 80009\n18607 40221\n42947 77613\n56181 83034\n72780 91479\n25063 37240\n76395 92282\n48872 77692\n45334 70163\n19137 92881\n25292 83693\n124 77585\n582 65003\n40703 51742\n35714 93988\n19171 69410\n9072 15794\n60175 94039\n28106 51623\n81072 94946\n14009 53263\n4610 56028\n46746 82680\n24032 64223\n31470 50150\n58736 72425\n28101 49743\n893 33853\n2571 40528\n15504 40006\n65938 83153\n43095 57397\n11678 39337\n39505 87772\n24543 94540\n1200 16625\n22885 85910\n39509 79337\n3715 81777\n47184 76287\n50254 70054\n74187 90325\n10580 16323\n76453 87204\n5179 92255\n1183 97424\n67284 98396\n26493 79038\n52836 73480\n28267 70636\n6816 47057\n13646 42857\n51413 61976\n53248 80845\n38756 87414\n32135 71466\n26803 27161\n1640 12839\n70832 75590\n27479 58303\n35282 77878\n50207 73966\n30280 52606\n16312 87896\n10723 22868\n13919 43803\n30118 35342\n60962 65391\n4238 76398\n79567 98970\n22648 94414\n6313 38266\n2691 42831\n6898 22323\n5188 52033\n32745 78097\n28160 36065\n6957 78915\n54576 73950\n612 32490\n11290 90215\n11507 36005\n19374 88591\n11393 25964\n45050 67272\n53540 88567\n38915 76580\n20515 67912\n34835 47525\n36009 62091\n31299 43694\n46610 77266\n17778 59356\n66206 93854\n10346 25212\n57421 82758\n6326 63156\n39433 76791\n11369 97051\n56011 79134\n23850 59334\n15168 51275\n5538 44180\n56676 84696\n28826 87424\n32261 92808\n35323 72220\n3488 4937\n12762 66059\n45757 50065\n8683 74827\n71177 88146\n58866 81539\n35997 86699\n23363 80343\n24567 46102\n8262 35722\n21556 56912\n7318 37339\n3787 9034\n70934 79442\n67287 86637\n16556 73379\n52612 67589\n18250 48846\n529 95962\n57703 62447\n3019 78954\n23710 76221\n6594 17975\n7427 91072\n77165 92055\n17534 85194\n30615 68223\n64799 84811\n40402 41007\n57964 99070\n57694 89651\n41910 63650\n18045 73407\n22651 75977\n28211 41768\n83510 96227\n54628 97942\n19824 78598\n28347 37715\n27128 70832\n65622 92970\n996 67222\n7419 57427\n19381 37641\n8337 92891\n15947 89007\n25256 32522\n39024 97582\n757 94209\n23784 70247\n65435 82064\n16433 56233\n52353 56228\n51110 65926\n79826 84137\n3578 63130\n15316 92757\n53160 53779\n14431 42449\n7722 73146\n28479 36608\n33479 93181\n4499 7952\n18718 43587\n56930 92772\n80861 82945\n7140 48440\n37871 58913\n70611 98259\n24111 48100\n27979 70179\n25144 53081\n35818 71700\n53107 69619\n28166 87582\n39244 62353\n78088 85787\n36950 45202\n5148 7970\n10681 59456\n95376 98507\n3143 63135\n29994 51826\n7718 67070\n75445 99967\n10175 64403\n3296 94754\n14956 65017\n21350 80359\n6270 66070\n65217 68218\n63693 93686\n8751 50313\n5624 39151\n57745 77768\n24745 83769\n27161 58865\n31188 77972\n31595 32218\n24787 85172\n10279 69473\n35191 97830\n68319 87686\n36064 66712\n14770 26926\n36742 88830\n79356 87685\n13781 60399\n38813 74263\n24736 45338\n1208 8519\n30883 43513\n9635 86797\n1929 34975\n11805 50087\n12666 39357\n7419 27651\n84472 85510\n44005 89387\n83553 93678\n72420 73987\n70929 81037\n14549 39989\n9503 58263\n6359 96549\n14608 50032\n13995 77970\n18504 24712\n35080 88066\n5396 87147\n85986 95045\n44732 93731\n20339 59639\n4621 5882\n14574 38490\n65128 67719\n79524 99633\n49617 53767\n34815 37568\n77269 86943\n28560 85235\n56347 74601\n42969 63595\n18879 40990\n14682 27203\n7472 17652\n49891 71206\n67663 89400\n6748 10508\n7034 31485\n34291 83728\n65614 77540\n81864 97164\n36109 37739\n40062 45377\n33555 92280\n35898 72863\n4943 17074\n29030 58756\n12996 72904\n3692 23522\n56744 84076\n9022 99911\n560 48896\n41349 60058\n33989 52794\n62694 69292\n41552 72209\n73528 94894\n27751 88819\n942 50111\n49057 96735\n22424 35447\n65418 85263\n8210 78271\n10258 58655\n755 50664\n66848 88440\n17172 65279\n16976 89266\n76329 95178\n75879 82031\n9080 60916\n84116 86726\n44579 46345\n70387 90402\n14727 66307\n4668 26344\n55231 60971\n29939 32431\n84405 85753\n61150 84002\n15417 60567\n23977 43497\n16705 82356\n40847 79473\n50389 87441\n31073 33998\n6422 88624\n47128 83921\n2176 43264\n9790 67818\n19398 59870\n45386 52793\n28510 81156\n7068 34340\n11348 29638\n90334 99957\n9596 49240\n3677 23643\n66112 92990\n12089 95227\n41955 53949\n1689 52551\n12121 47606\n281 38600\n79472 91775\n12481 56607\n17664 21376\n37747 88588\n36670 66228\n35422 58340\n33725 39224\n2428 56328\n35486 64481\n51809 85581\n12565 33009\n64960 77106\n19093 87153\n56455 73637\n42273 76044\n63400 65954\n64236 75701\n7871 69324\n58228 63920\n62417 70894\n51055 99862\n23992 31151\n2521 31353\n3967 11790\n35579 43091\n40123 49256\n27207 51617\n3036 77876\n24208 73336\n65290 84267\n64666 75082\n55734 87657\n65979 84744\n14352 98756\n55320 60879\n54847 86469\n11891 38228\n21027 31486\n37724 48712\n16384 31814\n42487 75448\n16988 21781\n2969 80461\n30536 36852\n37343 93045\n18113 26390\n11442 87097\n11771 77058\n33839 91483\n20970 87841\n14219 89266\n42529 87431\n60159 93810\n87229 95103\n47381 73466\n1038 57466\n415 12461\n54400 80287\n15679 45741\n2803 72770\n16740 55665\n4221 53445\n85780 87150\n52026 91832\n22698 66630\n40890 59469\n23304 44447\n5851 44649\n62086 83296\n7152 19977\n82071 90769\n20586 32359\n49669 80686\n11439 98260\n33436 85367\n13065 59834\n63043 81557\n1224 85675\n65039 87595\n950 14664\n39432 54228\n62511 87669\n71595 97567\n1502 35854\n6626 57636\n32369 34388\n62259 88816\n4418 58595\n83603 87724\n40152 90910\n25368 80873\n6586 27919\n23873 71360\n55873 84981\n39072 88431\n73823 76372\n30810 91445\n51293 86440\n64698 84920\n20025 77113\n39082 80045\n51315 85820\n4214 67811\n35494 72542\n23923 73195\n15515 43045\n67245 80083\n79434 87620\n9117 52353\n46243 63965\n15664 53700\n5146 32722\n23213 52487\n45449 98117\n54901 70427\n2342 84931\n64714 74407\n10505 79710\n77832 97370\n46624 96848\n69551 92970\n7004 15668\n18310 37014\n7206 97484\n48931 87130\n20361 61632\n27659 98593\n30498 59927\n5407 23247\n5921 65861\n41731 41893\n45602 96964\n66738 98072\n48011 97387\n10795 53213\n34859 56396\n24121 89769\n73821 81142\n80925 85350\n34239 62019\n29093 67490\n57456 93852\n7148 79915\n12042 78568\n45227 78269\n57622 89657\n11246 29779\n14925 87522\n45715 82131\n34514 73080\n7669 96986\n68495 86702\n20526 97812\n19520 54992\n18494 94745\n67811 99165\n49515 63419\n67211 91613\n19377 41611\n58373 71662\n18289 31664\n26180 58282\n30462 75417\n27847 92494\n16734 59036\n62006 86628\n30240 37512\n40109 78877\n35137 73116\n58535 94446\n29822 94975\n22627 47134\n73288 86826\n31193 49755\n20633 76061\n77981 90652\n6548 47257\n41129 52077\n11450 47010\n37782 73660\n27426 29004\n69830 88737\n48973 85642\n4165 69286\n44052 69218\n51209 81135\n79444 88891\n602 63100\n85342 87278\n6380 43326\n15034 20237\n21821 75042\n2720 92341\n1668 55915\n38614 53243\n47811 75673\n9460 24947\n18422 49311\n65638 90821\n3475 78640\n16195 71805\n48101 90309\n79937 91159\n72229 78224\n43062 72733\n4800 53046\n31423 65231\n34139 77968\n25212 74177\n19458 90268\n1327 11379\n13392 32798\n57071 63290\n79843 95581\n29881 52418\n27494 60524\n49154 58322\n36911 37881\n54316 60843\n13985 31702\n28080 43074\n39318 51905\n23206 28666\n24505 60615\n30690 52481\n8988 46846\n27091 48348\n26463 66443\n30143 40747\n54187 95611\n82917 91759\n59934 92009\n27527 50109\n64958 79101\n77576 96213\n7308 75031\n33216 66480\n17715 40674\n21341 35519\n13649 52121\n18580 25467\n7703 53207\n27652 80976\n63061 88442\n18064 89650\n16473 80053\n29993 78735\n43563 82668\n27827 42326\n38343 98326\n42100 87266\n11000 28513\n19312 36927\n700 2840\n53027 80581\n22070 44506\n11680 25814\n18537 45592\n30285 96613\n42748 48065\n48658 99526\n73689 96481\n24180 43324\n15171 16089\n28605 39322\n3675 81279\n14028 79950\n69394 69916\n45769 77429\n15430 71018\n49268 99331\n75186 94439\n30784 57553\n38107 92015\n31576 57915\n25660 86498\n58943 63999\n15489 17913\n17253 96947\n3207 45464\n25769 59184\n20201 20315\n45443 95046\n12937 44028\n60263 64002\n41432 61993\n48162 65740\n3938 80388\n66713 91227\n41041 71361\n14933 65370\n8126 93599\n8190 86458\n35200 48296\n22467 83433\n59919 96373\n62138 83425\n11589 34641\n39523 57835\n21297 46566\n2209 76784\n6092 66299\n68792 94206\n5053 22663\n33106 33754\n49952 59525\n31251 92859\n52386 80949\n59385 76547\n40414 91715\n18264 26794\n40573 67274\n31363 68772\n9678 41791\n13262 85090\n40203 56025\n25136 54889\n31914 66130\n26218 89574\n72884 99218\n31107 52349\n37161 91829\n50679 57716\n67614 91385\n7719 64946\n27699 73039\n78508 80809\n91632 96496\n43275 59547\n18927 96515\n69629 72011\n17230 28785\n23133 83478\n78979 91898\n13958 16465\n11659 21193\n61465 66590\n37210 74010\n26439 93563\n50153 80944\n71341 90248\n47032 81740\n75811 78875\n12748 93867\n26201 40402\n9148 69748\n996 4102\n19967 88208\n27454 93158\n1436 46102\n7628 48741\n20554 47817\n52927 88364\n12665 98699\n38910 81036\n11740 82899\n38966 46193\n30246 67254\n24079 53046\n25573 30005\n7287 99759\n78293 97262\n16566 73776\n26260 36482\n74858 78948\n29549 62288\n52930 68315\n6088 61354\n34292 34631\n13797 79609\n37813 91544\n37031 57549\n14453 19265\n68008 91363\n81652 84262\n8037 71070\n5583 65336\n39204 87866\n40850 48601\n43566 72711\n445 94908\n16231 94075\n68361 93407\n51803 78005\n39922 52786\n14455 14838\n7974 90814\n33498 86070\n58170 74910\n25624 47714\n20693 61089\n30886 40555\n51649 55741\n63914 74207\n69420 96767\n52427 74922\n46658 90839\n25490 73282\n38176 73067\n50317 75851\n21494 25905\n13379 62289\n53862 99005\n7047 33215\n12035 94906\n34047 41220\n14171 52862\n29297 86459\n15724 51354\n55059 96718\n56340 86703\n433 76622\n48508 81534\n55163 86275\n33976 54151\n28317 37176\n28271 76519\n20571 29820\n59333 80256\n29169 75201\n55451 79015\n56534 66449\n9703 51911\n48875 53717\n30963 42955\n18521 89545\n59965 98012\n27950 47329\n6347 40583\n5816 93643\n51468 73601\n15064 45894\n25652 95854\n2259 48472\n19437 50134\n20809 46959\n64698 86447\n59589 77259\n9876 13619\n7691 60240\n13574 45407\n14551 69232\n54561 69917\n48702 79797\n7513 84750\n49925 84010\n3411 22237\n6994 9784\n881 10399\n31286 58697\n51523 55402\n89805 91991\n31804 84084\n7315 8204\n270 42312\n989 79768\n3683 7865\n45582 82294\n21736 74249\n13642 99166\n33331 72794\n19489 38365\n43097 74117\n33640 83235\n19518 48781\n14428 63197\n18005 80338\n35375 80766\n23015 75398\n3038 76484\n23029 30315\n79818 98974\n42828 64477\n30165 96246\n37248 80178\n77099 80281\n10283 77917\n74950 89890\n81696 86710\n357 89260\n6030 50966\n75188 88107\n13838 63250\n11951 71031\n47052 63148\n2154 91031\n76510 96577\n35047 72010\n29423 70427\n62602 71452\n58661 94675\n51556 65033\n25680 88686\n4261 80135\n33044 36543\n15447 62803\n13982 51111\n17875 69934\n31680 86222\n10487 46323\n45619 86121\n57813 98439\n40499 50620\n42211 50617\n48212 64231\n27508 95894\n57101 69479\n24933 87891\n17013 96667\n42747 66376\n27342 81604\n3766 75784\n25969 74362\n28325 32336\n2387 2843\n24993 30470\n55101 78525\n14100 29754\n83961 95773\n9100 57230\n49189 76193\n25067 95133\n20582 58579\n6170 10168\n55670 99893\n38529 55731\n55350 63743\n46281 59497\n18221 18304\n6333 90148\n44450 54173\n34829 69113\n67331 78618\n54691 64478\n15252 61573\n43051 65839\n83075 86791\n11061 11831\n68553 80347\n59418 73971\n686 3200\n45614 69393\n58644 75811\n6050 29822\n12339 96111\n39985 54973\n61537 79231\n46230 79511\n9238 9333\n81370 87906\n28676 42381\n85366 93645\n45471 66144\n35805 52117\n85988 86810\n20427 46409\n36193 38214\n19677 23203\n67658 86933\n56432 57169\n78448 79913\n6310 71903\n63774 78394\n27993 93666\n30647 86634\n67042 78439\n7269 43212\n67338 96687\n15420 28561\n35965 42838\n17334 59232\n40666 44847\n29842 73879\n45836 67462\n26087 64907\n34784 79811\n67886 75045\n78001 94618\n51415 97151\n20537 26244\n17154 59299\n38734 82602\n41641 94793\n47999 85685\n79586 80988\n2647 94639\n30775 55507\n38781 87821\n66720 86761\n74095 80414\n34871 54781\n38928 96131\n5089 93522\n27932 64611\n20843 87443\n63006 70168\n52399 54820\n37716 81526\n75 40551\n23933 52905\n40630 87223\n40017 78825\n19112 30629\n7034 70715\n94302 97908\n13518 53307\n2604 15612\n60521 88822\n49613 79619\n33261 74094\n16811 60723\n35048 45389\n615 51093\n10400 35696\n50861 75004\n17412 51262\n41053 69872\n8509 83121\n26365 38640\n56628 98279\n29887 68938\n19387 61878\n34125 94927\n67798 71283\n43640 94477\n24850 94283\n52996 68776\n6519 44300\n17677 60540\n76221 94335\n21180 87587\n394 45860\n31025 65036\n4451 22631\n62075 79482\n82827 86938\n49693 54627\n15051 73865\n42319 65913\n11166 57431\n68090 78485\n9866 69536\n1664 19488\n638 57078\n2005 68722\n42401 94593\n12324 79229\n50336 71332\n54889 74845\n18974 55326\n90677 98023\n79170 81300\n47669 85364\n15066 55095\n78735 90505\n16187 34588\n14476 53790\n42214 79901\n27207 63405\n55108 79619\n71760 82105\n54818 77007\n51285 82584\n36886 98790\n16339 64109\n77540 89551\n2774 98552\n81410 95555\n48107 78640\n1416 36781\n1890 23222\n6088 25537\n33473 57099\n32883 98752\n59330 92990\n12835 62342\n67040 87209\n1930 12174\n2351 38419\n13867 21992\n3957 65531\n22552 36517\n17444 54189\n7443 62638\n88355 92883\n23481 84695\n58715 78959\n1791 64448\n13254 91887\n79811 80473\n43022 96739\n53093 77122\n31719 54383\n38408 45138\n3163 40198\n37477 55318\n14332 32575\n2261 34154\n12219 69595\n35231 86579\n21091 60308\n57495 69658\n2865 16043\n17123 49935\n2973 63373\n46459 85393\n28957 75844\n1047 13657\n2698 19408\n47955 57629\n3643 10235\n31716 37031\n62030 73386\n25052 38815\n9080 16192\n36644 62946\n432 99114\n5276 91399\n12424 68428\n50179 61245\n9527 82746\n40947 49237\n66257 82233\n67266 68144\n9524 52676\n5159 44685\n46558 54171\n35911 55034\n6044 47113\n78132 89184\n74743 92446\n13107 98001\n7728 42822\n2506 56674\n47919 48045\n61763 65329\n6158 82523\n44475 59583\n21086 92620\n53671 61273\n17847 50279\n56670 61188\n39783 48680\n18331 61690\n50658 80968\n5658 47603\n43112 99774\n8399 18549\n40519 81442\n4620 15822\n32307 74682\n38870 69285\n77452 99185\n14638 86227\n8046 80512\n13388 48523\n20534 73051\n30570 70442\n1933 8300\n82575 84866\n5457 70313\n73469 77166\n9833 28323\n8897 56129\n29220 76261\n71373 74816\n19697 49258\n1838 73466\n70269 78483\n48964 51678\n36707 76121\n11006 80307\n66160 79885\n38634 46676\n41432 48429\n26944 49668\n50523 92590\n67888 99747\n2793 75478\n16837 90820\n4018 94744\n11730 88892\n11982 76286\n12336 87792\n40976 68865\n57290 78053\n46053 61259\n77671 85336\n37670 84400\n28285 66994\n30077 92626\n38926 61571\n10178 35734\n5183 45016\n17892 94169\n25854 86055\n16687 53045\n16370 82038\n53795 66605\n63627 70420\n51840 57901\n8753 53624\n75560 84014\n14494 42173\n9622 27086\n68439 91939\n48430 56927\n60635 76127\n1476 59194\n48038 64152\n63281 73695\n5804 9976\n34159 91762\n25641 35434\n19378 41351\n31708 34352\n10651 72214\n7303 90409\n14927 68528\n49818 60643\n56074 91797\n42339 91948\n32295 81429\n2152 56015\n73575 96586\n64165 65751\n10758 18491\n40624 98288\n7736 71975\n4259 83005\n25046 92731\n9433 74594\n40843 45792\n37695 69489\n18211 60795\n7292 55065\n11018 29328\n8193 68082\n15173 47206\n35199 92812\n14721 78965\n8441 46118\n19906 23471\n53490 87890\n24204 30022\n22573 57883\n36086 50967\n12585 40751\n4092 21089\n88180 89031\n28815 65966\n18843 25425\n21408 27867\n80522 92464\n5804 72129\n39490 72473\n9672 24777\n91894 94031\n53953 86696\n58452 69499\n40014 72505\n1162 57800\n47254 89780\n57390 91656\n38102 72608\n22638 77496\n34742 93227\n37765 54316\n48202 49395\n5250 37892\n55697 69538\n35427 87831\n78639 94144\n30331 93117\n53213 61479\n26650 65809\n2407 18930\n85371 87071\n43081 61405\n14197 29569\n9690 90094\n10722 78885\n17293 37611\n15289 48284\n21824 39510\n40124 53610\n5055 15659\n23871 66360\n42357 83180\n9342 56231\n71689 99754\n70066 72762\n37643 64510\n30783 33180\n49320 97863\n32578 63606\n49748 78282\n50920 77040\n28176 94726\n37666 46501\n9560 92939\n23373 88313\n85400 93441\n33934 57824\n30560 39127\n34077 92319\n587 69769\n14811 43426\n3573 33577\n47598 51626\n41935 46352\n46611 55639\n59968 90912\n41664 92685\n30320 91710\n23844 30775\n30603 77899\n42645 60352\n20994 62855\n4885 36007\n49281 63436\n14504 52601\n47234 62116\n7834 14708\n19089 61546\n31212 36085\n18808 34329\n35887 62817\n3223 97593\n12211 59213\n4189 78612\n9825 81532\n22139 62809\n68993 81194\n51969 91113\n20289 91276\n53621 75711\n56338 84168\n60145 82268\n40416 86394\n14471 61384\n36539 56721\n84063 99277\n22156 77296\n6117 73728\n26957 75670\n43240 87485\n30498 73952\n7294 32817\n55912 86017\n59819 85891\n21608 55208\n51051 84020\n36931 83394\n5749 48770\n15949 84164\n15876 56986\n65978 66758\n11721 12112\n48718 57883\n12995 74372\n42617 42977\n9701 40196\n17678 76402\n53405 93601\n41742 59179\n73138 93789\n51899 75094\n33082 77433\n57459 73411\n20923 94971\n12091 38514\n49010 66118\n23445 60658\n56330 64540\n28995 94444\n31309 61433\n51436 97923\n24948 29184\n25638 63029\n18125 64465\n88138 89635\n91029 97157\n3893 88277\n21845 75215\n46913 65293\n86931 97104\n49096 57293\n58928 65152\n14134 68119\n20844 49239\n62877 65014\n19088 46082\n1852 23033\n17808 46479\n4894 14733\n22762 58224\n38966 87727\n28783 96693\n55834 87997\n43987 72150\n25713 41825\n10260 97359\n77223 96079\n88120 89600\n18815 71835\n61773 71228\n54639 70490\n1104 40586\n47619 72584\n61223 81537\n91342 92622\n53215 83516\n37018 66925\n4778 33395\n43880 94192\n90823 98217\n19089 81410\n33071 65187\n27106 53568\n86493 93266\n28056 66233\n12905 14762\n43928 89572\n37526 76369\n3020 70540\n8373 58310\n55401 87421\n57433 84018\n372 28026\n3342 70877\n68986 69513\n24675 83314\n4569 38146\n210 27077\n36198 54490\n241 99208\n9719 32645\n2002 84059\n36352 38035\n10688 24283\n6251 19469\n64661 97764\n37507 54395\n60975 76482\n87246 95804\n11682 47050\n132 30009\n5983 84807\n58850 84267\n5037 21559\n4109 57484\n13841 98412\n64076 74244\n16172 67066\n24063 50553\n9025 30397\n5378 37386\n44544 49497\n48567 85824\n33513 80128\n31405 96375\n9584 22448\n23065 95827\n10800 17739\n18087 61411\n69593 98965\n44226 82627\n41867 58458\n1290 30060\n67267 77935\n67989 87000\n18677 51658\n672 68278\n23755 63530\n34631 56167\n17325 91890\n57399 71066\n27939 68408\n141 91020\n16332 24231\n19395 38933\n3240 30608\n13848 71738\n3864 31436\n42307 88908\n17158 82005\n70552 82264\n28945 90720\n60519 69195\n2477 23540\n53619 56044\n60930 66345\n71309 81396\n14154 24033\n12194 91033\n39159 91123\n24895 46043\n28733 76822\n6110 64383\n45892 73249\n10693 98451\n42136 82411\n64783 88022\n15051 99792\n53757 62197\n29474 88128\n49686 84729\n52586 85891\n14833 25015\n1614 27809\n11723 21788\n11035 97014\n35576 45076\n48592 70204\n48770 96869\n48085 97248\n30525 94277\n8977 35080\n13151 39290\n61245 63460\n630 73077\n4669 48054\n5257 76411\n1336 39929\n59097 76170\n34847 99942\n41145 90448\n27024 86975\n80119 96270\n80604 95184\n52705 63433\n67003 67667\n15121 94918\n12322 75891\n93779 97610\n51722 83429\n11900 71620\n9498 12700\n3895 36660\n51477 72210\n806 1446\n17713 46845\n300 64125\n84603 94933\n1851 50903\n49667 91033\n3798 59937\n44581 77283\n13991 15339\n48013 80074\n4458 17530\n64553 86243\n44041 54145\n27969 51919\n25882 75719\n27553 61442\n7350 91627\n76798 94876\n70539 96141\n21680 51776\n60837 69020\n6626 53837\n32110 54015\n35522 44371\n35709 41372\n45428 83798\n47315 84198\n9007 96093\n51448 70917\n17392 60653\n23550 65027\n63803 97229\n31061 32162\n26938 54651\n68405 99564\n33687 69290\n13990 77109\n5145 49976\n1434 7603\n17240 40923\n34199 96229\n18249 37335\n13681 42878\n3808 60981\n63913 64347\n9947 47943\n1578 35977\n9266 70743\n2910 70319\n64952 86242\n75267 98621\n7969 20496\n54890 97937\n56522 76182\n5877 38375\n11356 21074\n71425 72948\n22409 28909\n8773 36742\n15199 61294\n59570 88357\n37045 60287\n72923 93203\n50948 59108\n64414 77263\n7886 72165\n25788 35167\n84365 85506\n15249 66687\n16851 66708\n29464 69672\n29699 38348\n90232 94042\n15983 89968\n11408 50017\n80546 86244\n8429 84113\n820 27398\n66329 77339\n78516 86884\n85303 86667\n63557 82068\n44585 97956\n43444 99910\n4044 97612\n1554 7205\n93441 97983\n35745 62023\n44807 55163\n37942 73063\n8739 88744\n19420 81410\n31814 47730\n27309 97744\n52110 74028\n67390 84049\n8393 69750\n34291 84430\n714 3038\n13941 25121\n32297 52082\n41532 65037\n30990 89509\n78599 95751\n13455 41801\n75846 87901\n6999 68577\n25655 72985\n49906 91607\n59132 61884\n11481 90889\n43696 76382\n59454 81228\n51802 74624\n49468 68260\n12452 26597\n16353 78925\n6504 32420\n6868 14014\n56482 57309\n8005 58971\n25837 34698\n33244 44059\n18183 56620\n25512 77650\n33715 87890\n28369 66477\n13706 98576\n8012 9411\n72519 84527\n2333 60109\n11095 73392\n55330 98796\n6591 54652\n528 73289\n70093 75522\n18496 42927\n32607 70253\n15245 70106\n19781 34706\n14752 59275\n42884 54324\n54876 56055\n28084 73000\n42868 98893\n34896 94341\n4280 23440\n28286 47201\n74644 97924\n3134 67418\n39919 73376\n15726 70792\n78666 85253\n3668 59225\n27626 44674\n5906 90852\n69152 76648\n2412 55846\n50165 71030\n3537 89034\n16077 74487\n77776 99492\n33936 81786\n3584 19110\n45990 78251\n519 42598\n41068 50505\n7976 98104\n13735 27931\n4176 82476\n47267 55766\n1595 10988\n15402 97650\n5026 18840\n11668 30684\n13104 36750\n64490 81323\n84261 85470\n65583 85968\n90040 91816\n51768 95772\n21172 31374\n44956 98984\n30286 48411\n72280 80522\n62871 74389\n38773 94019\n18821 63288\n7177 70393\n33107 41440\n45169 97206\n29649 48188\n260 48759\n30930 40096\n69364 75562\n68698 95224\n30506 80064\n17270 41483\n34481 77958\n5596 13840\n64121 85912\n30213 35713\n32205 65532\n58408 68327\n64123 67675\n28107 39120\n26534 68439\n30286 64268\n23952 50407\n32428 41152\n36186 59174\n48247 92148\n6251 29044\n21392 98213\n585 41105\n26141 62877\n36619 52841\n16057 93039\n26196 66795\n13445 30352\n29039 30975\n84542 90454\n66291 81230\n59873 92953\n25915 81388\n56921 75453\n5968 28912\n9560 18716\n11350 98330\n23276 27923\n107 83998\n27706 57264\n38619 81373\n48086 88683\n40257 45161\n27322 67538\n4719 33246\n71003 97970\n30326 38797\n66926 97953\n58037 78964\n71806 93505\n40437 84583\n15144 17996\n35699 90248\n41439 90552\n7976 14715\n40132 84507\n44489 96648\n56097 79161\n39631 52218\n38824 94924\n18930 88658\n25568 68131\n25178 67771\n48394 48879\n63284 75339\n30011 38100\n44779 54458\n25717 64822\n45076 92612\n50457 73301\n49435 84484\n44211 53388\n32989 41004\n4518 25592\n66935 97675\n28612 32125\n36664 45412\n5025 78273\n10480 94520\n23391 92438\n18279 48051\n15765 70458\n38759 76914\n47994 61083\n12108 14603\n12920 76133\n918 40391\n30483 48071\n32756 55401\n3836 81694\n4377 46591\n21328 41339\n50715 92547\n17506 31661\n80630 84321\n23486 75474\n73981 93296\n53586 69728\n94268 95224\n57675 80569\n5008 7811\n26293 95247\n31327 53506\n24362 90600\n7016 25865\n9370 17673\n34346 60363\n450 77047\n39818 64784\n39274 74147\n80179 86425\n40241 88682\n43392 90078\n69916 86666\n20395 33444\n63191 73549\n46145 76782\n61620 68879\n9570 18340\n75321 79010\n6682 33173\n44442 78823\n28786 32111\n51512 80067\n27503 30207\n16126 93714\n7334 8020\n26201 44235\n84678 89906\n89485 94411\n8975 87525\n42853 68332\n30867 69025\n36847 93755\n2658 97684\n9513 71840\n29060 94696\n41174 52032\n24029 60174\n5874 62338\n74402 94470\n15620 79387\n25372 62793\n1863 10966\n31474 74022\n13561 70490\n16416 78364\n77075 88228\n60442 62213\n20968 54175\n66675 81159\n5671 92233\n26199 72256\n25490 49208\n11726 93734\n20110 57151\n38433 53068\n25032 97899\n75511 82312\n11368 58700\n26376 65959\n27848 34431\n9914 86696\n3414 18201\n25681 42617\n34082 66544\n14100 99339\n15348 73418\n4331 22144\n16676 25647\n49300 61278\n41551 65792\n40139 77574\n8749 14565\n21844 87487\n56634 65718\n49139 87507\n46542 90816\n65167 94973\n80196 87685\n81943 97046\n34191 98076\n5382 60601\n14512 79657\n365 9282\n42509 43464\n26352 66834\n68599 71238\n34160 91080\n45006 67439\n59050 80095\n47105 96305\n52827 97907\n22238 46907\n69663 99064\n37994 39715\n7994 19651\n47292 58124\n25316 55089\n4899 91595\n22716 73030\n68739 85319\n69696 74236\n81507 89768\n37189 42050\n4896 61510\n25740 48610\n12748 64139\n70 95161\n10619 29622\n19892 94369\n20545 86825\n67208 83651\n59224 95488\n40115 63480\n9171 78406\n21805 57695\n42021 72086\n3719 5923\n1493 42085\n82724 90244\n70077 81964\n61599 82742\n82944 85608\n11541 30449\n720 51384\n16923 20611\n23343 85410\n8566 20461\n23074 84642\n82491 88467\n23529 85017\n3948 78296\n68247 84689\n78067 92376\n98452 99263\n41390 62388\n48502 83408\n43721 44391\n20669 94869\n9688 37326\n2893 36880\n12513 84970\n74296 75184\n63378 78739\n34801 54839\n10437 46869\n33443 60819\n2562 24006\n60917 96412\n29883 77944\n11380 81654\n25292 48480\n88169 99595\n27592 98090\n2023 24219\n32961 89431\n79387 84825\n84742 87482\n8749 48272\n12410 54368\n34028 82445\n4246 67590\n14032 29278\n27209 90462\n29367 53072\n53254 90241\n48811 69074\n10667 56115\n24420 65804\n14195 54839\n23695 98259\n14850 88666\n44115 52899\n37136 56971\n34820 78475\n14616 97343\n9179 59462\n29284 97857\n30498 68312\n6901 62465\n43047 44636\n22547 85169\n48782 57820\n2852 12525\n51039 77692\n24485 90536\n29955 48580\n19506 77023\n30527 53577\n84247 87157\n59887 82298\n45850 62558\n12698 80477\n605 73310\n28037 83297\n41930 69198\n45374 48203\n61750 72787\n13947 88934\n73401 91748\n19711 23500\n20380 70850\n30988 56212\n22603 88276\n54774 92621\n61176 83852\n22285 91848\n11697 36247\n56812 82640\n63120 94279\n34183 35625\n89262 90510\n27743 50024\n7579 10166\n60067 64888\n40152 58049\n20588 45489\n14442 75325\n13090 57084\n65029 94565\n14645 48667\n13966 79106\n8308 17367\n33627 43692\n61256 86222\n60717 95552\n11359 25700\n69902 80840\n51085 59110\n37511 95407\n8432 42140\n48270 80811\n47332 94639\n13831 14006\n13665 27126\n59007 74519\n36825 56481\n34331 67395\n5159 49005\n48771 51522\n17257 91901\n55886 68631\n23138 60682\n82932 97631\n4975 86874\n23644 90221\n72989 94415\n42982 71247\n73229 89618\n50191 68756\n38459 64357\n96264 96338\n36457 97313\n51245 69855\n17843 26815\n10278 28153\n20228 47174\n35319 98465\n60245 69988\n47453 88956\n31316 94735\n4711 14878\n50242 79820\n14924 63017\n21863 26558\n6862 21380\n72651 89947\n82106 91255\n10507 69938\n72363 86720\n74437 80167\n56315 56523\n1090 49576\n82302 91800\n4888 12559\n42187 88718\n1082 62678\n64769 80565\n65662 75554\n10445 76695\n84689 90565\n83837 99795\n12519 30341\n55875 95096\n495 63896\n90428 93753\n63005 88885\n81812 92357\n58366 83375\n29045 75744\n19326 98515\n32193 77287\n15006 27277\n6613 68651\n56070 72434\n26701 71831\n23250 58897\n80142 82132\n21808 81392\n11640 16689\n33323 35350\n58944 88758\n29233 80748\n78097 94209\n36712 92079\n48408 70964\n20526 82663\n49123 77567\n37882 88868\n26974 30641\n26996 85986\n23138 33677\n30856 78917\n21603 73644\n71299 82418\n30752 67479\n65252 69252\n78474 80665\n35750 92164\n81147 99105\n3543 49242\n35658 85166\n9092 97003\n43232 75016\n44112 94964\n36916 77561\n18838 68574\n42226 51369\n36222 75494\n56987 67461\n1669 9176\n63366 75152\n57635 73763\n56905 77988\n68644 89606\n13 54295\n23056 91371\n57478 85243\n587 67954\n17915 97789\n22263 83293\n66476 83398\n33960 51559\n25733 95532\n9343 42017\n18618 32437\n24185 49412\n38365 41438\n1072 64717\n25503 65497\n7002 90292\n7908 30881\n48900 99855\n19576 47783\n24046 25434\n9872 98070\n71402 72446\n70682 77496\n81766 82370\n65164 75519\n23508 30459\n13472 27667\n56116 83348\n27410 87921\n66610 84025\n1975 13994\n11269 68877\n22056 55119\n42450 45929\n42569 70446\n33215 42781\n37073 85264\n11726 47097\n86875 99952\n24869 85655\n20698 46809\n31454 39261\n74368 74786\n69929 99165\n67501 74071\n255 85264\n3239 99237\n35847 86939\n758 52314\n44929 56134\n7964 37074\n16689 99773\n20656 85235\n39240 91775\n54288 80976\n45167 75263\n9324 53926\n34822 99478\n58177 67499\n38649 98000\n3306 39999\n69045 75215\n9460 60624\n64383 75704\n6457 9315\n10754 42795\n23197 71879\n20938 32949\n60771 62959\n58479 66571\n22424 25913\n42466 99515\n44001 70801\n88294 93198\n71859 93819\n36186 83567\n18816 27157\n9342 18918\n38673 73791\n6942 17900\n2368 45399\n7946 96734\n34894 56005\n63326 87931\n30900 58168\n60250 68915\n17594 68850\n6568 87690\n86079 95656\n21031 60103\n71335 75730\n24440 93139\n60898 86507\n20415 82026\n1685 65453\n56595 82939\n59884 62144\n56929 96131\n56386 91636\n2211 11286\n8924 50862\n18201 95580\n18055 54124\n19654 78011\n45475 99886\n73325 98969\n3777 48494\n27311 69752\n38912 60172\n2708 18043\n4088 21300\n11093 44809\n37534 38518\n41421 72457\n4436 30601\n19439 76950\n42686 47105\n29861 57066\n6591 66236\n8475 22799\n41467 89217\n70371 88370\n24567 28550\n38400 59403\n8523 14285\n14968 40781\n9464 44744\n6640 26454\n54636 82590\n40247 90627\n22257 42433\n27132 81759\n16155 53372\n14322 45880\n54415 76312\n6527 36532\n49952 71731\n36961 97728\n54295 70324\n16959 36889\n49681 72134\n47987 80781\n68039 74401\n76461 97921\n46315 90160\n61991 85842\n31020 94653\n38613 98385\n19222 66437\n77546 85084\n80412 86020\n63013 91788\n45561 79596\n13673 56636\n14705 76029\n19408 83937\n25696 36122\n4287 89440\n13956 81644\n7404 97411\n16406 48399\n5173 88564\n2406 91344\n39015 61123\n79125 94036\n3532 28724\n61024 84743\n9174 52707\n1047 57839\n8966 25521\n15369 19461\n55616 85964\n67077 99221\n9459 76813\n41488 88160\n46557 90976\n17465 60378\n5469 49622\n81589 86176\n30360 49456\n51491 61513\n60054 83445\n16661 98919\n73283 83666\n21101 87855\n23927 82942\n64225 68095\n24370 56866\n6188 19186\n21121 81021\n2454 98105\n34635 38956\n47430 87209\n67229 99457\n40341 48502\n28064 30982\n5486 79488\n33179 64793\n268 77466\n37058 92496\n27575 82572\n45763 47206\n2330 82008\n77399 95791\n60292 92018\n83767 93538\n1321 63410\n86023 91771\n30478 69970\n56242 91497\n3211 35789\n2789 14433\n31315 65887\n49083 60530\n15375 63202\n7777 42898\n30614 92442\n47785 88893\n4009 11773\n20589 93780\n32809 68839\n8007 8144\n11697 47823\n6585 49265\n19148 51096\n47913 53737\n21900 44138\n71498 82343\n39381 58148\n90 99444\n15143 79683\n48645 72432\n12137 28492\n47060 91174\n8501 20999\n32224 56614\n34357 71506\n10936 58735\n29185 92017\n75453 80147\n77754 81899\n45846 49484\n12467 75956\n77167 93143\n23153 45354\n9902 46542\n52882 61765\n56759 58102\n10548 67771\n24412 76761\n6990 80761\n632 18920\n83711 87832\n19268 52749\n65435 88682\n33109 81115\n62552 77847\n32744 38774\n44149 73187\n27931 46079\n21291 39712\n15376 98596\n57581 97959\n20520 58761\n17432 67633\n74326 82060\n46619 75927\n74124 74762\n9268 57999\n729 77909\n46990 76896\n41283 45706\n49812 95435\n1624 21893\n4428 66950\n88637 93760\n65102 77176\n69058 82445\n8373 21263\n42100 69691\n18309 57050\n24582 97681\n10010 55535\n693 99800\n9100 54023\n10156 70012\n2332 96882\n25710 56565\n80441 99098\n1634 68843\n42741 69627\n31192 34785\n11176 85648\n7720 71350\n16573 22900\n82932 98169\n11963 77961\n15430 74794\n30132 69458\n32251 46120\n36376 59667\n56028 87062\n15737 57342\n29114 99833\n31241 46069\n13414 34722\n42865 53593\n21887 87486\n53399 57203\n59841 98420\n7599 24210\n61736 82200\n9837 76898\n59651 79301\n43662 96531\n93477 96911\n45565 61490\n41732 86568\n53012 66806\n40615 63075\n2482 63664\n18930 54100\n26269 64417\n3721 89413\n22011 27482\n595 70507\n84167 93687\n29693 32996\n63178 94184\n27648 36563\n28125 46125\n10923 92946\n13905 54490\n17292 73038\n41584 47834\n28645 99126\n39624 80374\n16026 37057\n4228 69685\n13968 93754\n55104 82706\n72027 89552\n36140 62463\n32837 41109\n5514 6537\n81369 86575\n4018 66858\n9910 65183\n62472 77464\n43372 69894\n23903 76703\n35078 91446\n6682 7189\n35012 87051\n4503 73583\n10289 62210\n12912 21944\n14542 84697\n35689 74104\n13530 42533\n50596 95303\n25929 68483\n6103 84525\n68178 84106\n27889 85646\n26154 66502\n36134 44024\n81068 91001\n59717 62253\n32912 51075\n65510 97050\n8941 25615\n17335 99702\n10366 57562\n18393 36449\n39714 69132\n10491 49084\n1171 27267\n77299 81537\n29586 33780\n39390 39734\n27877 43926\n23442 90866\n26278 58526\n33760 94989\n47232 76777\n38540 95078\n37153 71568\n25469 47596\n41279 62799\n17347 60842\n18332 73629\n8132 48564\n24231 63043\n34189 34477\n25829 43083\n61944 83112\n35555 94164\n89927 91817\n6216 98453\n16085 29712\n26254 94122\n28171 41787\n42564 54898\n40915 46407\n18276 20869\n8864 70598\n3935 33926\n50926 72817\n67276 85918\n28190 31969\n59161 92645\n92183 96795\n50099 78516\n39217 54130\n11062 25499\n25501 85924\n63988 69574\n7717 36016\n73788 77273\n59301 62977\n58665 74677\n11011 51805\n21933 70032\n28921 74746\n37910 82913\n15186 32962\n8099 9678\n48507 53118\n39983 44494\n14431 40320\n64349 66336\n11696 17774\n27182 76457\n8244 9211\n18063 47551\n29920 44678\n39404 91895\n48519 64554\n36999 62988\n8684 40270\n63001 87007\n4383 95887\n9450 65496\n40161 42061\n18838 92018\n21239 62153\n39317 53636\n32822 45825\n30362 80359\n7529 10560\n49031 65744\n41800 53488\n54835 73686\n12272 54783\n8170 80597\n41947 67057\n29140 65947\n54426 81801\n65163 67771\n35533 69640\n57498 96395\n3872 11929\n29263 73792\n52417 75397\n24391 57443\n51566 66757\n26028 34358\n41197 71009\n12846 18527\n3436 85173\n15750 72431\n19691 22003\n19764 24173\n41234 90404\n43031 61927\n10015 44875\n79916 99521\n6569 95599\n23598 98187\n11356 28434\n50610 59633\n5619 11742\n7318 34795\n1772 72271\n11881 46809\n36626 55906\n1341 34128\n2644 75136\n52227 94097\n23053 58539\n72962 95955\n84919 86875\n39219 48204\n55414 77053\n81724 95652\n12478 23971\n37710 72866\n21409 65978\n13255 60240\n7070 25887\n2941 40312\n6289 25582\n87007 88869\n64519 79908\n1929 75146\n8778 80561\n20260 25172\n97207 98466\n56633 71113\n24792 44016\n58394 62076\n63206 97908\n23613 79482\n20903 25228\n2171 36305\n40147 77678\n41477 74519\n29297 80937\n51217 92526\n69623 84682\n61969 83150\n29585 87129\n35495 61606\n70545 78838\n24026 82541\n325 47719\n57784 60541\n47111 96260\n17275 42117\n39882 42531\n65698 78507\n22454 55956\n34545 61365\n77992 83604\n87602 89719\n32736 97666\n12769 17659\n12222 52657\n48510 77198\n54850 64640\n51624 89070\n29493 87484\n20085 79791\n65715 97722\n44652 84379\n45839 73772\n7656 57502\n78770 99963\n76591 92553\n68187 71804\n6919 79344\n63285 97019\n70889 75387\n79687 83538\n25363 70200\n41397 77646\n4908 92863\n24142 34797\n74832 96738\n9651 42832\n13948 91823\n87696 99652\n21305 85639\n64210 74701\n70237 87845\n10970 54635\n38436 88386\n51158 83856\n25342 71484\n21442 76299\n27708 52281\n25720 90003\n30268 83236\n9226 32947\n523 72544\n11739 60916\n14590 37463\n71606 79812\n10281 11921\n9945 49449\n7619 32384\n40787 42612\n15502 48532\n45610 49507\n3973 36248\n64098 98884\n14814 28265\n33897 65512\n29125 60457\n81259 93116\n11507 29932\n16009 66915\n25943 29477\n17011 53621\n21521 82777\n11044 37016\n40673 72007\n4731 27934\n38749 72824\n28489 91293\n50963 99173\n28520 40129\n31671 65503\n7605 69867\n55138 57523\n31471 75880\n14305 72549\n4415 39671\n38405 63968\n71767 85546\n10814 14171\n946 63398\n29439 84387\n32773 33483\n6111 7858\n6542 17729\n30716 31052\n41651 91865\n80867 95477\n27994 80036\n38292 71314\n30365 81997\n70293 99643\n39827 92714\n19620 63101\n14245 74952\n12041 24344\n82912 88824\n34803 52086\n30864 32874\n2823 72451\n1581 57743\n75130 96613\n47416 65152\n48685 51491\n16094 96586\n33839 50355\n31536 67315\n54714 86477\n14388 33075\n2294 54558\n18389 73070\n68095 76747\n69843 87333\n21513 68396\n41833 52995\n9387 39430\n39863 57580\n20057 66263\n27431 47705\n9692 97385\n95479 99687\n28320 72683\n52775 94778\n33269 87865\n7483 55125\n9210 94196\n37774 39363\n49040 63901\n13802 75966\n15527 86959\n21152 70103\n92726 96271\n64988 68454\n14049 34712\n7358 33563\n31712 38633\n34664 87913\n60156 75564\n71032 91331\n76309 86608\n88623 92120\n26047 58209\n24939 35448\n42923 67298\n27851 36526\n41520 52979\n12089 55574\n45841 82523\n62156 80669\n50883 60693\n84010 96229\n55881 58043\n56670 75355\n7145 81512\n5096 91758\n35738 58269\n41907 63742\n10247 18934\n49571 83664\n77784 93606\n26437 94651\n1681 4672\n55998 71029\n11225 14459\n6663 44943\n44437 54700\n6539 46426\n10410 24972\n4030 42459\n30445 70891\n15704 16181\n38649 63974\n13787 15916\n30321 63352\n6935 83541\n24289 54949\n55406 79230\n41152 69532\n10417 32128\n33281 73214\n4414 74440\n4928 42370\n65287 92902\n29140 93878\n70118 90764\n76469 80563\n33568 57445\n58319 61208\n19135 33012\n11563 93348\n65403 81126\n62174 85034\n6260 22712\n68608 83446\n31252 77157\n10440 89911\n19144 32554\n15973 65546\n9206 83130\n43153 61810\n17188 97371\n9188 58767\n29484 62679\n73370 84913\n14662 17696\n52367 56341\n6774 34507\n40301 91200\n3380 40489\n12685 86718\n10112 41011\n85007 85837\n25613 31635\n13287 94427\n13860 59282\n12396 92375\n45133 56212\n73933 77355\n46794 88664\n11113 91691\n37024 71849\n21824 87550\n13755 84222\n29826 40365\n4514 90731\n20135 96680\n10123 99188\n49425 87589\n45981 91700\n2840 14563\n2390 17961\n12791 51836\n7892 40349\n3620 75799\n67392 86392\n26882 87829\n37286 89559\n8282 25254\n30153 32053\n25885 86004\n37138 92223\n10015 61514\n46434 84241\n40352 75518\n6863 95486\n30306 52570\n23096 48698\n58527 58991\n60675 67997\n22219 92933\n21997 33476\n20275 66636\n63506 75452\n30084 33798\n25927 32970\n44464 73527\n34796 88233\n22893 56473\n40356 96596\n187 70627\n38997 41268\n56 2732\n60247 92143\n12115 96465\n34812 49130\n2911 46619\n5265 57783\n34148 80586\n25173 62256\n37583 69764\n2709 96970\n50498 53387\n31337 80007\n46758 47734\n52526 85494\n33321 77163\n3377 49750\n47162 90606\n77335 92964\n33206 87284\n27488 97820\n38670 40032\n54858 97415\n17412 28892\n24615 54474\n65738 68837\n9606 74962\n3799 96259\n60554 63000\n52887 81883\n30884 86912\n18520 57599\n54589 93240\n41074 48910\n18856 38542\n44637 62069\n14566 59336\n17116 78472\n26324 46834\n44169 84885\n52180 60836\n22113 57980\n3099 92755\n21002 95739\n33142 81246\n68799 71957\n53809 84224\n14043 19277\n65748 76458\n11041 56857\n7843 21519\n89781 98701\n57908 61818\n15952 29640\n14675 21710\n27362 80075\n35718 51917\n3124 58755\n21655 42732\n53331 73762\n22646 58594\n44049 70571\n10281 64146\n27510 28769\n69713 72149\n1517 3676\n24287 92398\n29692 83712\n84694 94258\n11440 48499\n4868 41630\n15189 29503\n55879 82934\n9428 20670\n34052 56342\n50396 86943\n11391 60570\n60475 99658\n44718 69482\n68667 81009\n357 62685\n5687 96771\n59158 88958\n37566 70724\n27284 32887\n21188 75055\n21974 31632\n70087 83692\n22116 85050\n3122 95179\n51108 89906\n27474 58820\n996 18055\n24451 98489\n29515 76061\n20728 66537\n34241 57264\n17835 69014\n759 5532\n37305 54967\n16552 40654\n21624 99849\n53922 73730\n5348 64182\n72510 88852\n92778 94232\n44806 91368\n32776 84068\n27185 85205\n33656 51580\n40963 90750\n12014 83157\n22370 23879\n34401 63933\n15551 36636\n6412 74042\n26096 39025\n67835 80693\n63154 98408\n25300 87575\n2470 61180\n22934 32406\n13069 52122\n9787 49623\n22444 83723\n6975 63934\n53109 69510\n22294 49063\n64690 85560\n44311 53094\n18735 40666\n10805 48960\n3058 65523\n39565 91537\n66021 86375\n99830 99905\n69585 82370\n32361 46996\n38703 96482\n58267 68520\n44131 67906\n38580 74118\n66354 75541\n54251 77108\n64967 94676\n44083 84595\n30790 76408\n13295 73604\n17053 66343\n66635 97474\n51153 97199\n7728 63606\n22878 74326\n50134 77952\n34581 37268\n49534 90938\n70721 75289\n40981 77371\n2880 84990\n51836 98967\n71493 98363\n17306 86691\n74978 79504\n9360 30138\n54435 90032\n72380 91185\n7677 67398\n43243 49385\n42076 62298\n17527 48694\n17929 69445\n13070 26726\n67142 73736\n11995 68510\n28200 47768\n6290 71686\n6161 80975\n14912 50096\n2043 71756\n24297 85842\n36737 90794\n80881 94889\n74478 83259\n58927 65480\n51108 92631\n32202 97695\n21759 26513\n10817 33553\n6558 45809\n543 38831\n39297 79515\n16072 96571\n58261 99916\n37587 76064\n62081 83327\n43336 92656\n18766 47234\n33558 91809\n12636 15179\n8690 38993\n28178 86239\n29367 99594\n15103 78940\n73859 83903\n60500 97137\n4509 82069\n67684 97853\n43184 78120\n1091 36750\n55152 57069\n4359 14999\n3671 78680\n28676 42722\n45069 67682\n16644 25635\n3207 74131\n51087 85031\n56414 99093\n43732 61414\n14055 42117\n27603 31096\n37881 58484\n67591 85576\n51408 80727\n46877 92492\n11826 59986\n7130 76023\n64127 71453\n40041 71579\n53159 61884\n41493 64869\n13133 86911\n64870 73813\n11311 68131\n71898 80055\n14286 66797\n25 74563\n10113 98597\n11421 96837\n53816 96410\n50113 84539\n16257 57043\n38934 82744\n17693 73841\n1145 84350\n53957 58049\n72485 76885\n67199 86510\n64195 91078\n39056 78701\n1712 73417\n19489 28430\n686 38738\n11247 77704\n21516 62188\n85587 94590\n90230 92309\n32369 67785\n76446 86677\n14732 88419\n28125 61577\n55196 65248\n9273 28862\n1240 72052\n27232 83497\n29401 39582\n32327 98988\n35333 72708\n6408 16155\n65176 99823\n12960 66764\n66638 99053\n71924 78256\n24748 64446\n43275 70844\n39056 54137\n35083 64969\n59409 69257\n31885 93600\n5653 6459\n60295 62404\n32636 91827\n56842 75797\n39023 43473\n15152 98898\n52470 91772\n16883 65331\n2419 94704\n72296 92087\n16712 89973\n3397 46428\n295 18872\n20426 99843\n38228 92568\n10980 89532\n67503 67899\n59949 93482\n34458 92060\n81297 93614\n16842 22052\n19943 80436\n60309 78516\n10951 50379\n39093 76556\n14074 15184\n1479 42194\n88911 95132\n57558 65319\n51155 62098\n186 63737\n3891 61938\n3378 84683\n10254 61701\n1168 26272\n1367 87646\n15879 54990\n18002 91195\n96123 99977\n23767 34929\n22007 49113\n39031 99297\n44952 89133\n34387 69335\n77138 93945\n15726 56657\n643 19757\n22946 39913\n12746 85721\n92946 95736\n29434 38192\n25438 95334\n24955 51840\n74570 93498\n25991 68086\n27132 35560\n20875 52009\n35073 92861\n58393 81811\n4009 98984\n50657 87226\n48901 77445\n934 47762\n12053 84642\n42523 74719\n34624 41267\n7453 95446\n37457 89336\n39622 85192\n35167 56055\n60579 75840\n62093 62830\n35612 67177\n42680 51168\n35761 92829\n4269 45410\n32239 44420\n56620 69623\n45585 46425\n41502 45103\n59830 64060\n16657 92122\n38137 68871\n52226 91916\n16379 43547\n16017 33965\n20670 26602\n142 78664\n5927 98958\n3437 67586\n73229 89939\n55368 84775\n69862 84858\n70296 80855\n51251 67386\n28461 87167\n17405 64541\n58335 73177\n85306 97861\n12278 61396\n86323 97550\n45222 52766\n48286 70546\n5779 8314\n16639 93486\n60438 96707\n79265 93279\n14361 61055\n16084 28229\n27233 99168\n3143 32699\n59857 81011\n60317 76631\n52599 98865\n52216 93288\n68318 92195\n65158 91605\n43696 59922\n7335 91538\n3669 72469\n21430 26189\n4934 79184\n39731 98157\n44156 67205\n29032 94429\n34325 47809\n12392 89586\n29280 76421\n6878 35924\n70949 95214\n18885 37870\n38011 62253\n4812 31180\n54430 68092\n17902 59616\n8086 69843\n16463 27647\n17919 65913\n79563 89028\n65026 88651\n65111 95603\n2817 91998\n31000 49758\n34335 42571\n4881 8440\n15555 15814\n53835 75279\n15125 85488\n44260 80576\n18204 99878\n10761 53452\n12643 69080\n1838 51289\n31096 72904\n10216 51524\n42654 46059\n43355 65224\n32313 38479\n24591 42812\n39272 45433\n27147 86510\n11857 45816\n43312 95021\n13723 41419\n58626 64998\n66298 91287\n9811 41413\n58198 77378\n64946 75631\n19750 97989\n46552 59594\n54880 95698\n67273 75263\n14486 29678\n13692 31021\n34966 53912\n10528 54438\n66364 87124\n6375 80880\n13184 87159\n3241 24327\n20263 48922\n68732 73792\n1584 30750\n46595 57466\n3447 72210\n40856 41811\n26880 60533\n58856 72065\n21911 27052\n1593 40152\n8271 13553\n53662 91529\n48317 71452\n53439 96740\n49969 71326\n45465 99466\n46173 73427\n21329 41812\n62729 69148\n79700 80332\n16317 53300\n30003 96650\n19325 62449\n7756 82317\n15264 84445\n70854 95212\n53306 73835\n17869 81851\n17932 84750\n5577 42505\n49038 78183\n3860 97942\n51647 96149\n35124 94209\n43372 82545\n37864 58352\n22582 91893\n37662 74412\n56133 85900\n56785 59688\n1941 85220\n28771 59265\n6400 73310\n5658 91655\n8737 86247\n71567 74771\n73864 80641\n3167 17879\n2260 86261\n45834 76393\n6131 32173\n35877 68126\n45490 51421\n65177 83940\n16352 18569\n36659 40224\n25666 44284\n1082 78958\n54091 56448\n82372 97500\n20275 28123\n31574 78036\n16542 89311\n20614 35146\n1200 42110\n5811 32176\n45200 78667\n74129 76514\n51692 79375\n3994 59870\n75957 77043\n33891 66375\n7017 92524\n85375 90921\n72746 80967\n28576 49378\n1839 79236\n24122 67505\n6787 87122\n14726 33267\n8394 58198\n35175 79083\n2041 27731\n21843 87490\n1249 3835\n72953 77153\n24222 56994\n38164 49959\n44928 53466\n64439 81507\n76115 94496\n37634 96055\n74098 87336\n8177 70116\n19160 19817\n67012 79092\n9850 52678\n5834 90866\n67518 70355\n40581 52099\n27291 32790\n1684 88210\n13652 34245\n862 94088\n10796 28022\n50314 70865\n63741 81323\n11455 28148\n57120 69348\n39028 54190\n38650 76648\n13872 73506\n42379 42823\n49268 76578\n9440 93645\n46126 78166\n13849 45233\n65136 92230\n46859 89072\n35753 77385\n3767 61609\n56464 57233\n36861 87174\n64502 86401\n38410 91790\n13103 75336\n22970 67021\n10517 73862\n55455 69750\n19003 87661\n24579 67279\n41535 63830\n22575 59495\n32732 68376\n36482 89089\n3847 46794\n9850 12871\n12227 74564\n5894 50472\n5135 59131\n6784 56868\n18623 69810\n15399 59007\n297 20284\n36851 39351\n17316 96208\n51248 74223\n30094 84745\n20781 56173\n20240 73648\n73544 88035\n92686 93158\n48202 79118\n8681 22390\n57841 94062\n27821 94504\n2328 99052\n32141 45615\n7625 19689\n34369 58081\n70954 72140\n27062 66450\n31652 97974\n5448 76781\n36708 63140\n12547 14626\n14292 49627\n33188 71284\n3289 80522\n20152 65128\n9540 51934\n7872 71491\n15144 97790\n8961 97592\n56063 92986\n23031 53780\n5480 85110\n13475 72182\n18758 67901\n72001 88823\n32827 50574\n4166 53456\n12161 12878\n65817 73183\n17667 84006\n45743 73276\n10526 32212\n65147 65349\n4672 24302\n50855 69453\n34627 38606\n4392 28756\n22 51103\n1302 80570\n20624 70702\n614 50403\n35350 60295\n21185 49614\n58492 86525\n7811 62603\n36724 40678\n73507 76255\n21637 31533\n7637 63164\n57527 58959\n48876 96672\n21452 66153\n7092 68737\n83108 86735\n48292 73522\n39414 84043\n73988 99074\n22744 54883\n69231 71191\n31888 54588\n18961 36943\n29019 40765\n14536 61413\n62704 96158\n14597 41237\n18382 58233\n10975 60008\n84867 99793\n78360 82949\n41688 54552\n24682 58880\n60259 67495\n4728 67126\n49965 95720\n47017 65674\n35258 66997\n57146 86020\n62045 70385\n40786 53295\n92712 99783\n2563 49333\n44289 98206\n63536 70885\n36459 96646\n21007 30045\n67975 92835\n61764 98568\n545 77911\n20346 72400\n40315 98439\n6393 61166\n64325 69386\n25580 42911\n59603 84850\n24433 39914\n51004 73464\n69444 83428\n1534 92828\n16831 33389\n61712 72403\n27981 69372\n67547 79818\n29628 52808\n6233 23744\n17548 92928\n33448 77617\n62885 77795\n24269 85228\n23311 29404\n34847 97329\n67759 86091\n44977 78325\n32692 71957\n66303 77402\n14483 16873\n41350 71541\n66247 74198\n24366 45915\n47119 90942\n29652 39905\n46065 77273\n8242 69677\n22216 37354\n9376 95012\n78128 88059\n9714 86821\n51955 65673\n12805 71067\n17118 75292\n40069 44334\n36304 83250\n25663 79169\n29442 68095\n18173 48193\n69197 73033\n22879 89351\n50106 98787\n82387 84000\n570 63468\n33994 38710\n38944 55399\n39643 94730\n20795 27218\n50529 73830\n49355 70279\n25955 60186\n64640 65922\n8160 56653\n321 68333\n46216 95732\n42654 86379\n15028 17408\n29037 59472\n67245 84802\n71281 76592\n28168 40408\n49767 54905\n60534 81272\n12652 45564\n203 71869\n3084 67245\n5578 17285\n35663 43532\n536 32982\n38202 53836\n28416 85307\n31672 56860\n9423 37536\n36374 57282\n29335 46718\n10673 47957\n21922 69783\n45631 97515\n4768 8089\n28463 84080\n19880 43837\n36323 82424\n39367 72490\n18756 42575\n61119 93090\n3610 61386\n4898 89270\n18853 77452\n49078 94280\n2081 28959\n65104 98704\n16983 62445\n27486 72197\n37188 94884\n67001 67751\n48544 57164\n7042 58430\n20926 67550\n27003 33808\n17602 86033\n4716 16839\n6259 65472\n24027 64682\n14592 49536\n11483 96389\n26070 47021\n23650 98654\n62469 90013\n34478 88373\n39838 46881\n6243 79805\n22914 49934\n11074 96141\n27802 40133\n10196 32573\n16561 58829\n12649 51662\n7769 85065\n12064 47125\n41411 42124\n5196 9097\n64968 76426\n24138 97767\n32688 36408\n34236 91885\n46342 77117\n30402 62083\n29583 39054\n77295 79206\n28364 75888\n57951 71367\n43309 52679\n32649 78708\n13585 47841\n15709 34755\n1602 24041\n54272 98859\n10082 53777\n58947 73708\n51494 67160\n1819 98943\n53396 61980\n49854 85580\n38405 51019\n53659 55553\n42585 59714\n91309 98072\n35145 55405\n15772 32210\n28974 75732\n75919 82820\n60119 67424\n12555 92345\n57404 75063\n25200 52390\n34561 47679\n7405 99739\n17270 69797\n28249 65987\n10806 88974\n34517 42563\n43811 44431\n15262 32314\n43632 76179\n54911 58758\n18393 57643\n30686 38110\n84195 93397\n22703 67278\n38055 79601\n44587 96354\n29340 74315\n40646 82619\n29848 96864\n34729 39842\n21095 92803\n5311 86739\n4218 38460\n9761 76934\n21792 43004\n61163 62038\n30054 75664\n7723 22017\n14238 95905\n5403 32676\n57777 96490\n25272 95433\n17236 94624\n84157 92955\n49298 78039\n73165 79493\n9407 20580\n19792 99523\n50916 77707\n9284 53702\n16249 17693\n20051 51318\n53106 99198\n73726 73940\n9883 16233\n32273 44692\n53865 58140\n30787 54870\n48512 71946\n39090 69774\n13542 87275\n37324 62303\n26685 60017\n10657 88800\n21785 54928\n7159 55920\n41767 67015\n15880 65960\n58780 66128\n29900 76045\n59439 99770\n45114 74132\n61358 92911\n2350 82477\n65966 88856\n69668 80301\n11669 50339\n18103 18718\n70935 79071\n21286 54108\n39058 41683\n1069 76838\n29424 82565\n24150 88776\n23045 94586\n36516 50120\n47865 88739\n32610 72636\n15150 95716\n14349 41917\n16233 97481\n23339 44501\n83344 92896\n12649 35546\n37381 70699\n35372 52453\n4362 12409\n49060 75610\n41081 78775\n80965 93840\n10287 85448\n42833 73725\n6539 23191\n2452 53709\n5641 59743\n12332 30594\n58881 83024\n54779 64087\n23333 47940\n17370 72605\n80740 91797\n45484 97363\n61363 66714\n7689 85466\n47391 92596\n17303 92233\n96316 99151\n23006 60294\n38288 73577\n16984 86226\n73704 86380\n54877 59907\n46108 56159\n29638 32498\n60164 95653\n7203 92837\n21072 38884\n24343 96590\n44180 75706\n12796 65504\n10381 73317\n2606 33072\n42469 92312\n53348 74613\n11344 68681\n2260 12017\n27079 74627\n41540 74735\n15844 72067\n37188 78812\n25200 33458\n27895 53901\n16522 92952\n30895 90325\n68398 84568\n20963 47829\n7196 16929\n3571 3707\n38834 77565\n37609 71856\n37508 40505\n69024 91175\n13183 64493\n14571 62712\n50530 62006\n19925 74812\n8987 74930\n70701 84697\n14668 88526\n56613 63703\n29974 54570\n48993 87517\n20853 46669\n10513 76963\n27431 45321\n24926 55825\n48009 88249\n57753 95124\n26836 75307\n37797 54451\n11312 37813\n54413 75278\n29994 79798\n24835 93127\n55854 57773\n21757 74234\n54278 85380\n27455 75022\n88811 98168\n33686 83357\n62366 83007\n26158 64098\n19395 89864\n49224 61083\n12148 35379\n347 28888\n49258 52602\n6988 60641\n19123 49349\n30350 58916\n11359 50446\n3813 90626\n13975 21539\n32746 75726\n45311 89315\n15403 46285\n48383 61166\n34775 77902\n15421 20887\n26441 96176\n40123 94997\n44862 78011\n7932 59161\n43442 83820\n7199 12427\n18784 65524\n32523 97361\n5619 55993\n48728 93635\n28773 99478\n61299 87700\n2577 77317\n26321 95671\n26393 88347\n51295 56862\n23309 30162\n46165 96741\n1856 88110\n19730 78265\n12299 66979\n52012 59308\n16466 43613\n7909 40592\n18307 88327\n29071 52019\n14843 34324\n31821 80414\n50419 60357\n80325 99217\n24042 54896\n31472 86555\n23870 75263\n18912 89123\n38385 64625\n25452 71049\n29437 29781\n54581 70021\n10399 64347\n41457 45450\n65716 80998\n4122 68434\n1110 17778\n89585 94378\n36121 75581\n39208 80720\n69272 89625\n83612 86879\n63593 88332\n35867 58724\n10924 73446\n86632 95312\n53280 53606\n20794 76109\n53323 55169\n40151 44879\n43 295\n11362 12575\n29611 35661\n11667 35362\n19235 22831\n71763 87857\n10837 53744\n54206 64258\n40132 53061\n83101 96026\n842 31538\n45200 63029\n27166 77725\n30928 73650\n6670 91850\n20941 68421\n29050 44156\n68285 79922\n22432 87948\n16650 94569\n65726 97000\n59194 68687\n31032 48368\n84547 85266\n35440 47860\n13336 44173\n13804 28715\n630 35961\n28222 51383\n55952 70460\n7951 61733\n1768 92748\n10091 64801\n1498 96045\n58567 60116\n33310 79745\n13490 37540\n12179 33651\n25553 83316\n18278 75119\n17624 60853\n24402 66696\n74498 95650\n51925 63633\n4383 78747\n63042 77388\n10038 16989\n333 96685\n23982 61956\n23163 23867\n37363 91080\n5783 97649\n1930 44480\n24763 49617\n44615 57585\n2756 4349\n53255 72762\n19957 48611\n46608 97583\n5973 60009\n13769 97142\n33093 88369\n1385 31911\n4080 14389\n10543 78114\n32163 74688\n23513 80732\n5883 83828\n42422 70946\n7443 55395\n62649 64755\n70275 89136\n45348 67337\n18583 72302\n40077 61846\n17833 70999\n72887 87997\n28107 58190\n29315 75996\n59324 95329\n19182 87494\n37363 73276\n84570 91957\n79147 87547\n6380 6853\n76013 81963\n55814 93368\n84178 99936\n207 60785\n2056 99881\n1984 4399\n50529 71020\n48351 77632\n967 60649\n35562 78658\n3531 23162\n87337 93659\n39575 95894\n45170 59559\n65373 76695\n18216 81335\n47048 72145\n25182 37545\n62145 88278\n5590 48184\n52539 53302\n17304 28054\n5289 33467\n13055 86488\n26486 93605\n47820 82653\n30082 43587\n19916 90547\n4985 83141\n56380 61181\n48350 72238\n86404 99064\n26519 64961\n46489 58361\n39883 89442\n1404 82699\n73725 99786\n31320 99145\n4724 67591\n15840 39113\n48401 56152\n16391 68867\n69666 84697\n48272 76655\n11681 45067\n737 10352\n90611 94354\n20257 88772\n49161 89189\n29302 32669\n81288 91716\n14758 90177\n65135 97401\n46900 77407\n44437 47386\n63606 74733\n38443 79675\n35411 99337\n21438 85987\n38882 85878\n70272 80776\n56326 68256\n9706 54526\n44419 49587\n36195 60155\n13656 75188\n19783 38279\n9370 9970\n71290 90023\n1689 68679\n65872 91844\n28110 86712\n645 63719\n47463 50154\n15545 25075\n3105 31054\n25805 49234\n44415 86373\n30376 43834\n31359 57594\n2519 62517\n10043 56940\n37673 53362\n17894 24363\n22097 25484\n11619 80009\n36055 37666\n67724 95531\n39416 43182\n40675 96381\n13392 38461\n3528 94522\n27819 52899\n7777 37793\n48346 54125\n90541 99823\n77372 93494\n36133 74699\n14653 77237\n60100 97591\n26616 72132\n22124 27346\n33009 95783\n35635 47520\n39215 44962\n42843 86757\n21281 92947\n14648 64393\n54181 82554\n24499 71511\n28068 45001\n273 11781\n53005 97636\n45473 92056\n17155 32842\n34213 51707\n81276 82401\n24443 56158\n539 85626\n1908 25276\n14918 17845\n11033 45210\n20206 34515\n22348 60880\n5478 33318\n46966 63951\n80582 97233\n2425 10794\n669 74360\n60118 83428\n37473 87319\n62757 84325\n13317 29646\n23147 74638\n54690 98065\n11106 63401\n40755 88450\n22722 82023\n25592 48128\n50134 94554\n4115 75506\n37145 40951\n20797 65497\n38108 47369\n20433 97618\n6095 87309\n81938 82543\n16374 37916\n5893 39218\n19855 65152\n60116 98425\n24044 51211\n37663 75365\n24665 49376\n12168 95065\n62158 88921\n55300 71000\n31540 68213\n54886 59362\n38417 63030\n35091 80472\n21798 94333\n18590 76390\n65979 92553\n79965 85756\n61640 82168\n68480 80584\n16910 71151\n12147 31061\n51395 59225\n41681 69459\n16680 48980\n95946 96577\n62873 87363\n41101 92651\n38611 50196\n48543 84195\n29607 41755\n43234 72614\n21043 34640\n3376 47737\n27956 76255\n375 8336\n39624 92989\n12767 32538\n14311 43393\n1203 9716\n157 52497\n33508 61632\n17865 64184\n44808 57937\n35839 74140\n40905 92121\n1792 86342\n18589 30193\n19130 59915\n8621 39703\n40821 58487\n51697 57139\n21111 58401\n87896 99459\n2947 19324\n521 91546\n38073 76671\n29048 82961\n2278 81186\n59833 86500\n5069 96591\n32547 60699\n569 20622\n7709 97858\n19467 67283\n10808 96775\n43546 64516\n75215 87159\n57418 93726\n27770 80046\n48294 90817\n30528 56592\n21559 65828\n32393 37914\n6520 40681\n65679 88078\n40046 67103\n21526 32811\n34744 36841\n2156 4700\n66989 95963\n50618 87901\n37421 84662\n27353 90694\n26000 77894\n23370 45512\n25303 35870\n68990 73865\n2925 32428\n59646 65156\n70858 81724\n2770 62308\n22863 82942\n18097 35113\n27877 83167\n13134 36089\n468 24218\n74241 91658\n56226 63797\n82267 97231\n62629 84974\n57205 72655\n33370 73156\n13161 36539\n26041 59233\n41312 61166\n31894 86685\n31239 52181\n22205 59429\n1794 57193\n3241 54740\n6232 76102\n26933 42263\n49161 73395\n16836 46031\n17591 69643\n4502 12636\n15165 98332\n64740 83841\n42917 90276\n30028 64180\n29383 32989\n81674 98485\n55759 82301\n30611 32823\n44243 99728\n23299 39421\n13478 98791\n37981 90158\n3965 85595\n36232 69930\n36073 71312\n19948 63487\n29753 47595\n30528 41712\n17480 77745\n42399 89489\n33483 39310\n46702 87134\n37827 80829\n3402 25039\n60617 71937\n44674 79243\n8642 59348\n16420 93851\n20880 96857\n5078 71333\n76222 80295\n44391 57851\n43901 86770\n48996 72786\n18312 25930\n2897 75035\n33575 39803\n2989 4909\n39354 90708\n64222 79017\n37619 45006\n43596 84660\n69640 72575\n78811 91723\n10769 16001\n38562 80259\n32365 85407\n17126 62159\n17557 51336\n74322 97686\n46087 82860\n62573 77501\n56416 97446\n65345 89485\n45431 63558\n86084 86735\n13789 93250\n44474 66977\n14118 61028\n14493 71836\n9417 73448\n33599 57091\n19569 20372\n44547 49453\n24689 41447\n85164 94146\n77766 78850\n14348 73465\n5984 30327\n14208 81068\n67874 84523\n13755 27854\n6962 70414\n71901 79922\n51056 64126\n54916 91558\n34849 88750\n18617 49412\n80204 87474\n79855 96298\n4138 87049\n5045 31591\n48102 52704\n67312 71251\n14133 50047\n37879 48091\n147 60280\n32979 35537\n8998 98209\n76990 84629\n43511 84746\n47776 48013\n18512 83525\n11670 72931\n15734 68599\n69452 74221\n49665 69268\n16956 60738\n30320 42429\n21370 76205\n32640 51066\n45234 99336\n56464 89709\n48127 94620\n72232 90550\n49253 79321\n22439 95788\n15877 20496\n64 24535\n4480 68546\n34269 59791\n90852 94698\n34914 61260\n81643 88680\n6806 73619\n18773 63990\n56216 61129\n74502 95135\n5722 20256\n32648 87862\n8163 25329\n26024 48098\n9108 41333\n23479 61366\n68411 72047\n66925 89467\n5180 42202\n63150 68760\n20272 90580\n19625 93685\n58981 91290\n54183 68178\n41998 74496\n45908 73073\n1258 80243\n11425 71143\n16191 22471\n45564 75125\n1565 88299\n78154 80608\n6289 27966\n568 73693\n38027 64229\n86908 95800\n5988 70199\n14797 71907\n4466 71586\n42761 42768\n19216 71437\n9486 96463\n44570 60618\n38100 45994\n32492 71596\n32286 51601\n11034 11871\n38576 85403\n3099 71688\n59947 95784\n60251 66272\n66820 88929\n36619 89749\n49257 58416\n33060 86015\n38876 72648\n64749 94646\n11313 79125\n27848 39491\n17198 89819\n57732 57816\n4102 72457\n74912 86567\n11412 44703\n3494 28455\n15121 84343\n22276 94246\n3159 25904\n514 55115\n332 47578\n18317 79118\n49105 61499\n55890 64645\n2386 27014\n78986 92690\n14169 15478\n20767 95833\n34836 79482\n16282 87409\n2850 16780\n60346 77229\n296 18123\n9457 46522\n75978 80132\n8989 63501\n44231 73577\n14756 72152\n42850 46693\n16444 90199\n21254 52082\n29387 80977\n74034 77846\n15404 31403\n60907 88739\n40667 78531\n1614 27061\n33312 45920\n11112 37300\n4473 44793\n31621 36631\n40126 91873\n38319 87164\n35635 49770\n52299 94028\n16552 94824\n16412 39262\n87730 95767\n74240 75328\n50225 91534\n45394 47990\n26650 87060\n69954 98221\n88483 90123\n11831 45267\n45196 99172\n11069 69781\n36142 39556\n41239 53768\n63541 94414\n18373 35758\n28235 60033\n43798 57951\n11072 59587\n56429 62149\n29608 99074\n13298 78296\n55777 80033\n244 4141\n537 7695\n91429 93663\n67892 68137\n22688 94542\n31318 54864\n11923 81605\n28573 41331\n62366 99746\n32296 75770\n67456 68742\n23003 34941\n58033 71219\n37433 77890\n30171 95274\n17317 85799\n38018 79999\n45456 82014\n17476 26402\n7825 57948\n7172 94189\n21746 86956\n2156 68300\n67303 94158\n24671 54664\n83700 94837\n38084 56168\n68857 77883\n60711 81223\n10864 90237\n95757 96525\n68264 83009\n34897 74191\n56457 77359\n1019 91252\n44457 47864\n48579 75304\n9412 32504\n4558 89436\n4138 16884\n61580 77386\n32031 80739\n38655 42638\n25434 89318\n35365 76060\n70967 83086\n36913 66029\n30588 55563\n62013 80433\n53879 89624\n47940 71625\n17624 69123\n10347 49202\n13932 65794\n51668 88191\n60861 70526\n32040 98847\n6461 50848\n76384 83759\n11861 94307\n15390 48335\n23706 45512\n38132 72088\n47972 93429\n26324 92787\n48209 62538\n75297 87626\n73558 90498\n67511 84367\n9617 25325\n35389 70504\n10068 51455\n22429 86157\n15248 54331\n37162 94130\n36500 71310\n15730 74413\n17169 52853\n4845 95960\n7625 92461\n5600 95257\n38427 87285\n29101 91500\n40405 63477\n26750 94051\n73432 83667\n58986 89750\n97881 99493\n70388 90474\n15655 49742\n79053 82049\n2918 86662\n17379 60641\n27440 53751\n48722 99522\n68270 82954\n75258 75754\n30505 77800\n13979 14441\n4705 85633\n41702 44194\n7400 40928\n3353 88760\n42057 98148\n17462 82187\n18626 65706\n18545 40128\n18466 63935\n2906 26153\n81423 81517\n60681 62479\n9273 57106\n4489 16478\n41582 70348\n14412 71483\n13093 74012\n48959 66151\n95749 96248\n67912 97915\n10798 68844\n6330 92692\n23527 84535\n62798 69079\n47339 89536\n19116 29282\n49036 76815\n1798 9109\n64754 75092\n22724 87720\n61219 70726\n75687 96119\n55553 63266\n8211 15366\n15005 80298\n71662 76083\n8554 77739\n8995 32932\n6449 23919\n6852 70571\n51817 95459\n47570 68832\n5051 14529\n40167 58209\n48210 66660\n64986 88846\n65596 74430\n29996 96030\n23963 55362\n29560 73617\n2209 96061\n9157 81646\n13553 69949\n41300 61527\n10603 58109\n66858 79309\n21173 23347\n15422 19465\n31581 31706\n52477 96093\n76411 77869\n77543 98006\n4313 71535\n30134 54552\n70811 78265\n10455 32462\n56349 63460\n44154 79041\n37460 84781\n19580 69249\n66811 87318\n61455 82369\n61663 82774\n49506 94174\n33869 43158\n28572 78135\n49776 73556\n41337 93718\n78219 97601\n1793 41562\n79172 88981\n4515 80032\n63835 72695\n30964 64412\n1291 87628\n68375 94455\n21348 51340\n29578 42835\n11019 86927\n2095 13600\n16808 96543\n3244 99350\n11426 97501\n83239 88630\n28390 75932\n66832 72046\n28564 80868\n8161 51521\n63944 66858\n33988 68807\n51716 62368\n1190 89913\n60549 61084\n53087 60825\n35261 52577\n14774 50864\n68059 95844\n46259 79418\n28150 86834\n96862 96921\n66713 74109\n45378 99987\n18061 48725\n42576 87094\n14779 80065\n24335 89335\n99006 99015\n14880 22644\n43079 48749\n51834 74797\n18659 64650\n12218 19040\n37901 65457\n19521 86805\n49305 61438\n31901 42204\n6771 14718\n77516 92732\n18003 87273\n52478 70355\n14160 52999\n186 51169\n10466 45452\n24448 39470\n9214 11948\n34712 80045\n20371 60172\n54597 89454\n38688 44061\n41767 57130\n23269 49388\n18616 36516\n21725 89880\n50226 54485\n50562 95938\n29515 95287\n20330 94974\n16803 20151\n61082 86497\n33387 83494\n42022 80293\n5101 52947\n31549 64120\n41677 44500\n23364 26957\n35643 51952\n66300 83735\n1366 47076\n16386 98115\n62291 70903\n13484 71785\n66912 97800\n15574 21647\n27396 57272\n29292 57267\n17138 23072\n9349 66299\n44564 72303\n21746 77827\n27607 79532\n3205 31236\n44370 73149\n7775 25164\n63620 74722\n15816 82485\n4407 69379\n3550 69771\n17079 36697\n13060 25769\n28320 80415\n19079 93345\n55012 95724\n85149 98163\n41145 67853\n15294 20890\n8877 33134\n54547 63363\n44326 48226\n10826 73565\n27131 44872\n65261 82276\n19726 43345\n51342 99449\n27599 95123\n21737 37967\n5128 31210\n28456 39285\n77209 95414\n7515 50372\n2896 20227\n31721 57871\n66714 73421\n4148 4520\n52246 52333\n11525 19751\n27489 31915\n8576 13014\n15153 66974\n82215 90618\n40753 41346\n41941 86266\n33489 37653\n8772 73076\n27025 87603\n15424 38165\n27489 95868\n10295 17606\n35648 36669\n32195 90786\n86090 99722\n3543 6829\n24 82041\n8417 33752\n12096 24447\n1149 86592\n14536 42583\n25614 66581\n3153 21086\n37668 64993\n70427 76665\n1045 86499\n1726 64118\n14862 32880\n64946 86163\n5609 43955\n2195 80819\n30807 48701\n67916 82455\n69669 85835\n44212 74784\n33728 56172\n3418 28995\n36168 90889\n24919 33300\n44740 54531\n21988 67496\n1106 36372\n16397 48809\n13791 41050\n28669 76027\n36584 41455\n9790 92998\n33511 73062\n23893 29439\n12353 74242\n69228 81294\n28321 74907\n29856 71024\n39328 57670\n76950 82479\n1590 48749\n44269 65100\n30138 82779\n13160 56880\n2024 10390\n91643 99545\n35383 68082\n36726 59700\n45201 76255\n15232 60576\n24676 91944\n34618 75563\n90744 90757\n10272 74800\n54973 67394\n435 50289\n12774 64840\n12953 66368\n23706 55451\n873 87882\n33348 42578\n37178 56256\n6920 11877\n76850 77738\n8442 89173\n63631 66781\n40187 51500\n62502 92228\n21901 45087\n24409 56290\n5666 78557\n61157 91558\n41846 63036\n45385 74512\n25949 43699\n27584 57902\n59783 66355\n82174 83386\n24823 74247\n76267 96998\n69880 84899\n40922 44687\n44808 50328\n57781 89604\n34231 72401\n70508 88847\n18776 32048\n38633 79005\n67021 73368\n63373 96333\n29074 61390\n20711 53317\n75538 80673\n19074 21026\n26751 56319\n19359 96298\n67798 78501\n18686 67631\n59651 88490\n4943 48255\n18421 97766\n59802 94012\n7752 70073\n32678 93835\n15616 23060\n28928 80714\n50095 97330\n6256 38321\n66606 92984\n640 69824\n6358 96497\n62508 94256\n9520 68315\n40037 47315\n983 32809\n23925 54909\n31465 55550\n37031 76608\n52407 70505\n63706 82691\n32662 92920\n24419 85298\n69554 83223\n49027 88838\n27369 39586\n26135 80563\n23319 74249\n24821 85884\n49584 61138\n27154 35003\n7592 67184\n44784 56828\n14109 70721\n15117 33135\n14689 27107\n41274 56330\n28747 84822\n8988 10936\n13597 87794\n57672 70655\n45900 47197\n65216 95004\n34718 89519\n36817 54842\n55365 69484\n88647 93501\n20362 48864\n1663 71187\n6417 33997\n79504 80523\n2950 25330\n19363 33774\n13249 37962\n81348 97830\n13193 25459\n410 55293\n848 4017\n63756 80033\n2591 12722\n9788 13547\n5768 44064\n26910 79298\n8321 66312\n7711 17771\n31503 79180\n89436 98951\n4474 8219\n2042 83493\n410 40309\n16921 68289\n26016 94809\n4726 36986\n55392 96760\n30749 79206\n2925 54582\n47593 67251\n9631 43119\n22762 59155\n46790 71740\n52072 78313\n74909 77432\n90669 97477\n38589 97850\n10705 96086\n45018 57492\n59903 81533\n15656 56659\n13080 34272\n7398 99852\n11960 93580\n69397 70583\n41341 61491\n69498 78571\n81940 96275\n26565 63691\n29220 61755\n84942 86027\n38193 89882\n48520 73052\n41551 69743\n36163 60822\n2749 75831\n45979 49783\n14201 33659\n20428 29887\n34959 71614\n47503 98784\n34529 87401\n3568 15608\n68421 98273\n40028 82462\n46346 60557\n23466 74775\n47524 85466\n76848 95139\n84699 94719\n25573 98155\n35922 69389\n4272 81797\n35013 62164\n50997 74879\n30407 89511\n24558 87308\n33693 46527\n58445 76150\n44422 94432\n56435 95169\n46660 86478\n7853 91538\n56645 99462\n72179 83997\n22310 61885\n11612 36380\n24987 39250\n10542 48642\n43481 43826\n17659 94167\n32478 37417\n57 3789\n68328 93536\n20056 88801\n45679 83694\n85434 96777\n26575 84144\n67861 85292\n58310 72283\n41194 83878\n24138 53619\n70705 95952\n25809 79025\n24201 56400\n8682 26258\n32331 65713\n78882 79386\n30379 85488\n57857 58553\n24598 84655\n80132 82605\n88203 98700\n21945 36366\n3143 32429\n61618 97320\n4086 15768\n55118 67229\n29404 33743\n49610 96239\n28872 99261\n43522 56308\n1237 35051\n28602 62936\n3865 23211\n60227 93531\n26005 85205\n41857 82732\n11038 56218\n46120 50264\n4953 97835\n7564 66890\n36343 91097\n41882 81941\n22222 34714\n56483 91663\n26105 84029\n28323 84047\n50476 82905\n49789 76064\n44744 81838\n6984 24506\n1845 10285\n28340 30812\n29641 40898\n10294 38074\n7272 28636\n87633 98252\n77589 85694\n25211 66895\n3551 98222\n37298 84573\n61792 64158\n36345 51180\n46220 59505\n37460 61124\n55373 61965\n9014 52153\n38270 74253\n43899 62325\n33099 69989\n9402 28521\n43939 73413\n4920 65392\n54190 74656\n18329 75985\n45782 60147\n44049 64361\n18711 32561\n66519 85252\n4777 45766\n56290 78669\n8863 86094\n61311 73112\n9186 61615\n88170 95351\n61340 74179\n774 68639\n1753 58444\n6638 77184\n71757 74335\n75002 96044\n13935 45278\n22508 23406\n125 77158\n14865 81899\n24662 25525\n1930 29697\n34089 80198\n16745 33757\n25792 81994\n58980 94684\n6711 87885\n25965 53433\n35949 73748\n56442 58404\n40413 57749\n55705 92183\n17467 95706\n85356 98036\n25053 71388\n27637 96655\n42216 53175\n89596 99856\n42894 60658\n491 11276\n49834 81201\n39227 77466\n18391 40643\n10422 25284\n8110 82144\n18434 91735\n21706 80739\n43857 87043\n44802 90263\n43289 78735\n28146 59609\n23412 85984\n47234 86458\n69264 94485\n64833 77003\n12384 43714\n7836 98119\n46303 85722\n37069 74289\n34855 68988\n14300 19953\n26488 75200\n19679 70438\n55783 83360\n18265 61965\n63342 98000\n76487 96312\n1418 89154\n5502 14528\n44483 60512\n497 15199\n20632 45819\n20513 32039\n25071 91299\n10098 75196\n270 49021\n22171 97271\n70116 84737\n28301 99221\n30142 88751\n1683 19499\n70739 92775\n10800 65240\n35651 73489\n46061 94016\n59745 87990\n12742 97271\n32256 58650\n39482 75563\n21824 56042\n9193 57065\n39634 97138\n43901 84588\n25684 74974\n21874 26213\n76315 86096\n15028 90798\n4922 59434\n79556 82641\n41980 45432\n2164 50595\n59980 73954\n33541 41454\n12856 61187\n66388 83956\n74431 77433\n44910 82407\n19481 28460\n50878 52748\n45193 47928\n14443 83027\n7188 11604\n70283 93879\n17904 46755\n16551 53395\n20865 82299\n54844 97774\n6897 69999\n59374 74197\n39529 46029\n57667 65322\n74963 81235\n43376 44067\n53741 56065\n41892 84335\n10274 13078\n45387 88764\n79955 86231\n50317 62244\n37113 86519\n24618 50370\n54343 90405\n79294 93013\n29255 58829\n63660 85766\n25996 69849\n24527 43893\n8307 19299\n12116 33186\n28343 97391\n28913 97489\n11279 72282\n23001 28768\n10205 75642\n22730 80039\n45401 57836\n24773 56305\n21258 61116\n7837 19996\n15125 49612\n7107 92906\n14870 39872\n33251 54877\n75199 88442\n12957 47486\n5510 70143\n1551 85441\n6784 24871\n53923 79129\n40924 77184\n32153 55077\n547 49927\n9066 42275\n28468 68047\n2299 74212\n12619 54459\n15497 78192\n40337 70446\n6697 41903\n46759 72478\n9339 77623\n56165 96251\n15524 56139\n13901 32131\n45556 94276\n41603 89276\n35018 59546\n81568 87066\n31035 86276\n2102 8479\n51447 82668\n7445 18632\n42952 95547\n70680 78325\n28276 92724\n23026 54864\n18546 66952\n11659 36175\n56694 59744\n4915 43180\n9976 35868\n41069 66056\n3562 18981\n16838 80895\n23816 76316\n42537 50712\n9784 29161\n24382 50379\n16691 87043\n63485 78732\n23675 96138\n40846 43996\n16423 94362\n21963 68185\n2951 34649\n32173 54381\n48339 83252\n31013 75126\n8491 89866\n72305 88080\n26045 95005\n93358 98036\n6673 54815\n39881 70853\n2473 92399\n25873 33207\n578 82179\n10674 92588\n43200 64843\n91460 98488\n33453 48898\n42763 57241\n84313 93091\n39327 98319\n28803 53624\n5462 81684\n41966 88150\n9668 59553\n94168 94211\n20737 51031\n51763 62888\n28681 92164\n57126 94589\n4883 39358\n6460 15543\n5223 41998\n6166 12765\n23477 93971\n24012 85003\n30391 51275\n35942 84007\n7862 72314\n24262 49852\n32486 77716\n5082 68579\n9689 11119\n383 65440\n39617 92588\n3912 14726\n19453 41871\n28137 41061\n25973 67891\n51151 60412\n6986 91435\n9722 44654\n40891 41655\n6863 23772\n4080 12542\n40549 93252\n45056 80804\n26488 53420\n43466 99481\n22699 24389\n87746 88043\n45622 57496\n70186 70346\n7216 67619\n69651 80371\n9512 55038\n24738 85016\n23826 51825\n2800 85354\n22106 80086\n27993 84170\n43624 60255\n49881 53005\n65281 84948\n11521 11813\n59368 77433\n68460 74066\n30733 39422\n37547 41227\n79468 83515\n41644 81135\n4294 58914\n8948 64537\n36067 41661\n21780 23659\n20242 60310\n77584 78104\n81731 91067\n15266 39305\n3621 58599\n51398 55739\n32330 45306\n15695 52309\n5426 17802\n12633 87052\n10689 93177\n11072 37884\n36287 62399\n42378 54167\n8138 96832\n40825 42295\n37939 54645\n49518 71021\n64255 88563\n3105 41245\n67850 75117\n3000 78388\n71345 78311\n39547 61360\n33722 84802\n65282 77225\n38438 44812\n12865 87457\n52603 86499\n18149 45395\n51970 61748\n49408 59097\n90265 98183\n35512 80557\n20684 59909\n7930 50603\n45330 64840\n53925 77711\n51976 64747\n32008 40320\n2026 75663\n12720 71576\n30588 55709\n35178 54066\n13860 99725\n73329 74704\n526 12698\n55091 85036\n29889 36091\n3401 54681\n53521 56904\n2707 6259\n41096 98045\n37424 99140\n35112 98883\n29967 88582\n54949 59171\n59408 68086\n80069 82923\n10591 23054\n16735 40196\n2913 16987\n47425 84568\n20137 22454\n8385 34479\n57017 94871\n76118 76136\n59250 76633\n48475 70961\n24651 39119\n27514 35771\n26014 35144\n13739 47718\n39380 74469\n15233 97621\n23326 59011\n72480 82189\n3726 71897\n70906 86387\n28359 95261\n28672 90084\n24552 95810\n71537 79974\n21567 96273\n9594 75627\n32741 58243\n65596 92493\n23941 57605\n7271 85659\n71445 96760\n43453 85601\n24507 55522\n59869 76987\n5046 47118\n43936 52521\n25743 25971\n87794 88473\n14238 58982\n40047 78087\n54945 81013\n4321 11462\n4015 85014\n42654 51856\n90095 99541\n71793 95148\n46901 96087\n38206 53886\n50872 76225\n67958 72278\n74474 90425\n17671 45191\n9381 73964\n1166 85336\n24648 98328\n450 50938\n38630 60430\n31718 43032\n3551 6458\n74399 96412\n481 12542\n22403 83878\n4549 33640\n70938 83626\n26728 81996\n12343 93977\n56012 72085\n57555 71737\n31989 61756\n25217 69767\n74900 78132\n28011 31664\n57108 60741\n15405 59272\n22453 73427\n23513 90897\n30077 93004\n8242 19466\n59815 80969\n14815 97898\n33198 67058\n20251 55094\n30345 61750\n29188 90104\n51919 97194\n23076 91416\n38531 73652\n25640 50637\n40111 74367\n33791 79654\n48070 65252\n79198 84708\n24687 28078\n45836 57856\n22812 25792\n10504 46155\n65929 66526\n8616 88693\n48930 93942\n7594 68239\n16939 97396\n41863 99844\n43864 46461\n45542 81344\n43628 70967\n46898 87915\n34912 86329\n25296 62209\n15250 88179\n25585 67873\n9271 68123\n42818 64161\n28994 54795\n84343 91465\n725 46685\n16375 70341\n3853 67051\n34877 99446\n70094 82850\n75012 95248\n20630 89025\n47667 59990\n87639 99874\n56347 75938\n72473 94744\n4477 17695\n73193 91399\n23158 70435\n11442 35477\n29687 96030\n3452 43643\n67776 70858\n17883 36778\n19070 64898\n11059 78465\n35586 53232\n19815 20893\n6270 91024\n9529 50172\n329 84394\n68618 86142\n35716 53930\n74249 74289\n19580 93261\n33904 42414\n9284 13932\n32416 52283\n22235 34671\n5127 14788\n38764 75832\n36849 62141\n34548 37927\n2271 81568\n23310 81547\n1469 32224\n76823 90329\n8271 67280\n14194 39527\n48903 99261\n78727 94066\n38856 52378\n45280 50844\n29453 89933\n44950 56288\n353 72816\n20328 48675\n36546 76194\n5439 22617\n48552 71333\n17365 41787\n50208 83905\n56829 83641\n4812 64407\n29626 45205\n59647 88725\n23096 81435\n36925 43767\n13918 45465\n61278 85510\n490 41699\n37404 72033\n22750 77655\n26897 42252\n1393 6079\n4454 81763\n21429 58742\n84401 93561\n72275 98214\n60974 93401\n59071 83517\n21706 90430\n19155 93824\n65261 84236\n9976 92149\n39722 68913\n12485 12624\n26771 85444\n4111 55059\n6867 44271\n53709 81924\n10172 77727\n19967 47831\n16484 74622\n91339 97301\n4784 20861\n65423 75707\n9043 48137\n35782 41406\n8927 83983\n22108 76421\n48775 71710\n13267 59549\n13448 33454\n83533 86018\n3995 92992\n13303 73746\n13023 95322\n41283 77210\n21809 65234\n8341 40150\n3848 21067\n15628 53572\n26477 82820\n3696 7520\n36846 50519\n44160 67698\n19111 35584\n7721 73427\n26004 90385\n63811 76474\n66143 80664\n43632 97193\n9563 17265\n47668 67718\n40525 83219\n35453 48729\n54577 58946\n5572 19449\n4708 50378\n22474 53202\n39077 80731\n23373 97212\n15203 59967\n18801 38256\n19337 62414\n27634 73277\n57009 74307\n36052 99896\n45399 80470\n59482 72521\n5005 69441\n75510 94213\n8509 69134\n67629 69118\n50952 61311\n4833 27522\n37149 76115\n24268 63979\n58457 73713\n27355 64310\n27384 36841\n40501 83526\n39074 72415\n47837 91427\n39989 57968\n16919 72219\n75452 76116\n15524 94336\n17533 26751\n6121 79856\n85655 87217\n45148 58552\n69522 76343\n16702 55055\n73728 96969\n40022 90610\n57831 80510\n70644 98102\n63899 93736\n56882 61308\n10596 52665\n18209 47902\n26395 50751\n38943 83695\n35789 38688\n13139 80274\n50868 90071\n14365 65414\n18642 87364\n8862 70545\n43906 72522\n33873 78955\n33766 54026\n39939 62068\n38699 94874\n44967 72866\n3602 60389\n39572 90659\n533 14094\n33047 94724\n24302 78393\n14381 87983\n38340 71190\n24344 69607\n54351 94183\n16404 91337\n11903 14293\n29040 91090\n69922 84002\n44075 65316\n9662 80534\n86450 95918\n45922 52284\n50955 95717\n17680 49928\n9206 12301\n42237 44988\n42314 77733\n17066 33381\n27339 45739\n54193 73158\n8557 93073\n32785 69947\n23306 95204\n60907 71156\n36557 53472\n3449 5405\n23517 73276\n33195 73528\n31807 62726\n1323 25335\n9516 9789\n80597 94991\n36710 66607\n11545 27540\n15004 82799\n47161 92282\n18482 54802\n9519 57434\n48815 86228\n37517 98440\n62412 63150\n35048 58005\n4201 20706\n46802 86246\n23962 63138\n15719 76869\n39445 66417\n6193 18116\n85512 92361\n13664 40553\n61015 84604\n72754 91768\n53658 91880\n45817 60731\n57059 94327\n37722 45307\n86187 98351\n51062 60136\n85323 90125\n20874 52359\n63526 93469\n19446 98549\n13631 42369\n48035 91283\n81849 99204\n21532 38157\n21337 60872\n16044 80677\n8803 25325\n34474 40588\n38693 74480\n38640 61988\n8214 92901\n18836 76403\n77797 87929\n2353 92149\n27803 47444\n12012 39663\n9009 51306\n43415 89280\n518 1783\n39566 75740\n39856 73953\n7975 54539\n18139 70486\n12947 27372\n31046 83583\n46985 53527\n54969 81577\n589 98181\n10549 59334\n16370 67554\n48776 86129\n29038 69791\n58778 65803\n19678 54285\n1193 56894\n25549 62202\n91766 95744\n74178 91132\n86816 95100\n24403 31688\n16051 78226\n46156 73077\n31940 41316\n71368 82172\n18574 34855\n25957 51014\n30130 98284\n10044 32254\n52566 57186\n51293 61227\n37944 39611\n65456 80338\n8602 10018\n11846 82865\n62335 62366\n14206 35749\n68353 90404\n26864 54249\n20167 21159\n47280 81001\n6793 81767\n59387 81395\n26883 51333\n81919 83829\n7891 22011\n13956 40056\n21160 89972\n60497 74206\n29982 70223\n1072 77455\n73390 76866\n21610 73669\n8578 83635\n32195 80243\n9471 17832\n14518 33124\n23101 62160\n33145 88042\n27901 28839\n28005 96014\n21689 85942\n10393 83514\n36798 48454\n44374 46411\n32259 99749\n9379 97461\n72380 99001\n8230 58079\n11257 88444\n18835 93049\n9340 69091\n39328 53233\n35195 57178\n14903 46920\n16053 50129\n29043 78569\n25742 39862\n7787 60072\n6684 31441\n8057 29932\n22737 94505\n9081 50578\n36917 94394\n9702 13399\n9732 59912\n36207 86995\n36647 82289\n52870 78439\n70804 87239\n17020 55501\n23911 60691\n3034 37897\n28745 51753\n9621 90120\n97 84512\n1981 56495\n8369 28129\n7854 46913\n54208 91874\n34853 61673\n39300 47484\n41589 80078\n2378 88111\n10862 12946\n58755 65426\n85706 93127\n42103 73920\n30379 73517\n2001 64282\n3047 13886\n15090 95795\n27742 52362\n33170 45525\n2925 31708\n56110 87826\n5980 36910\n18203 45484\n7004 70492\n6684 38177\n14603 37230\n12540 34970\n82219 83868\n82741 96090\n4940 10718\n28577 94504\n1840 54807\n22471 53577\n28983 73342\n85650 89688\n25515 71070\n49682 62222\n5407 61338\n35936 82128\n42138 67552\n14210 14340\n89954 99439\n29224 71429\n15544 56057\n3531 46435\n36722 61646\n61190 81022\n25586 64266\n2400 51376\n33089 49896\n40531 46978\n74298 92232\n81899 88986\n53906 72194\n16 89583\n10737 73709\n15822 57619\n31897 61275\n84990 98884\n27794 39323\n7749 34281\n88229 95231\n72231 78720\n12390 63266\n285 51286\n15355 64948\n21797 65182\n63619 81202\n19251 52797\n57754 96674\n19938 26382\n19898 84983\n10725 85811\n11072 99981\n11300 87619\n8550 77772\n4244 72379\n38426 65873\n56799 96771\n30330 59311\n49731 80032\n59519 97145\n8815 11438\n74950 87168\n81399 88756\n5733 48408\n71208 90824\n19629 59279\n12785 81462\n37177 79607\n5411 94071\n50969 58404\n26161 56209\n16838 91348\n12704 55372\n16248 82331\n17086 32423\n38126 63241\n39711 57416\n34732 43751\n232 29914\n45688 78143\n36527 38312\n48549 72753\n11279 86810\n74685 85092\n97292 97599\n32294 46124\n52348 81792\n7459 38805\n21317 26544\n37753 63644\n7476 76356\n20588 31171\n47338 88497\n20597 22928\n12963 41835\n40584 77057\n47223 61813\n24098 81598\n69329 99088\n17491 80412\n26052 91513\n31294 54935\n21951 81255\n12538 85680\n2219 92578\n52501 85700\n98974 99863\n37090 58261\n37535 70991\n9944 42614\n5173 88230\n3773 77303\n31246 85804\n33045 99824\n28883 84359\n66887 91008\n69377 81650\n19877 68511\n51357 86917\n38327 64916\n85326 89674\n75652 82128\n40197 67801\n40117 80780\n62776 72472\n65278 74154\n6402 81955\n54285 60102\n5493 50706\n42839 80157\n13788 66433\n2448 16084\n16426 84427\n443 62868\n26633 41905\n53156 85733\n6957 59333\n18383 46097\n50475 70781\n78985 88073\n46035 56795\n30914 62044\n75092 76482\n16669 89533\n14769 33921\n18060 32564\n35490 73137\n62505 95996\n44735 87258\n42753 58613\n58797 76999\n47924 86546\n32519 66201\n47817 84116\n1837 30424\n2888 8830\n14028 18977\n43408 48785\n36802 70376\n43301 59411\n54097 56954\n22034 39767\n63389 64473\n36012 82124\n13486 37623\n15311 22410\n27679 29179\n21305 70620\n62843 82908\n18235 84969\n23342 30892\n79826 83912\n61389 95659\n14472 79514\n8947 71735\n35048 82999\n25638 69672\n42905 87074\n75896 97486\n58553 71688\n14914 63067\n13949 28529\n42469 59113\n45916 68700\n29805 81947\n49587 78640\n20616 41803\n26619 47886\n6226 92379\n12067 97850\n63405 87630\n48810 75240\n29185 67307\n26979 92259\n21994 31081\n56576 96115\n88801 93271\n80881 84220\n5851 94327\n4999 30138\n28262 58629\n34655 50581\n20585 24156\n45871 48394\n36387 87904\n12265 54371\n43080 86379\n15455 72799\n61354 75138\n27470 78585\n6863 45367\n6906 71752\n765 99335\n32796 91378\n7297 10212\n17913 85759\n19117 84674\n20313 24915\n79124 86934\n7120 81872\n54008 62041\n37772 66195\n44073 91714\n16635 52108\n81042 97684\n43307 82452\n6724 28433\n81046 87095\n24706 25849\n22323 48036\n12592 80552\n16735 23154\n21571 63438\n47068 80141\n8174 66195\n19643 82187\n71672 82895\n26488 35954\n22067 46751\n75333 95255\n17861 25527\n16150 29079\n10104 16958\n46640 78404\n18631 39645\n34318 87929\n14286 81611\n26599 75173\n7863 32906\n7853 58894\n15902 47062\n367 23696\n2515 39796\n64907 67729\n29755 99091\n1449 51181\n1541 69631\n7598 90333\n91241 98445\n3954 59496\n3230 63672\n64899 85312\n4529 90146\n13307 15978\n10843 37785\n36753 37568\n40369 49555\n41343 54294\n8004 14180\n22197 70139\n23169 86380\n9105 62901\n55042 69510\n53105 79989\n23326 81435\n50256 80643\n35759 77157\n851 2439\n45468 66929\n11053 90113\n27052 58167\n9635 78796\n42609 92478\n26531 27635\n18255 93767\n40918 69551\n57540 64091\n84011 95469\n14572 68020\n8216 73615\n18041 70690\n27067 70396\n15013 52376\n20952 83359\n46437 57424\n17224 71586\n17306 64969\n5817 86065\n28363 82468\n41393 97732\n10827 11394\n58295 83752\n62647 88444\n1923 44648\n34524 59314\n25218 42665\n67638 90658\n12244 85023\n45027 73429\n4005 82637\n11977 56167\n28651 87184\n1302 21382\n28166 61757\n31528 39356\n13210 39142\n62255 95212\n31905 64775\n8112 41480\n41366 66164\n74571 75042\n31627 54287\n26245 37149\n87 27104\n87220 98636\n27699 81605\n18470 50297\n8004 28168\n2065 49364\n14739 51245\n46206 50418\n68810 97575\n69875 79880\n48256 73952\n51639 79152\n23043 70821\n60137 74688\n23221 25364\n38018 76683\n12347 49216\n76109 96641\n29062 60601\n19862 57197\n29810 55258\n57994 87583\n32529 76965\n53575 94450\n3536 36903\n17753 41091\n23583 34103\n52606 85113\n29265 87017\n47078 48355\n57802 58637\n40479 61326\n23783 28695\n50251 98429\n28843 29776\n18979 30310\n1028 76584\n46928 52151\n61309 68386\n67522 98821\n65414 82516\n66264 93802\n8912 30849\n8365 54421\n59059 68603\n82888 93438\n17384 37975\n60437 67090\n885 40255\n60507 86145\n85768 90472\n75297 96018\n16362 88710\n8320 24832\n12944 15259\n5485 27105\n16257 50473\n46590 63136\n1369 75743\n11336 39590\n28594 57308\n54502 63780\n29902 47097\n58986 67702\n17234 30740\n2333 73352\n23132 53278\n25719 62376\n14647 31129\n22761 30852\n90190 96037\n24220 40064\n3675 5340\n35367 87956\n62479 72435\n91102 99620\n52551 74941\n40499 46264\n22876 55876\n42746 54328\n29756 50616\n28346 61437\n48752 83992\n64164 76754\n6275 13402\n68727 83610\n61211 78754\n29408 65256\n21597 49710\n17951 47098\n22280 90810\n48409 64768\n48524 60718\n31182 68897\n2345 69504\n30687 86036\n24926 30189\n48747 89532\n32324 75854\n8291 60224\n13956 34949\n17154 97754\n85704 93464\n11906 81843\n70932 75529\n13967 98548\n9103 16728\n15191 40228\n15876 61439\n57481 67244\n40039 75360\n80201 98371\n34661 67857\n55281 91226\n795 98547\n56383 75628\n21701 70982\n50307 78473\n49888 77752\n37514 74713\n12895 15967\n19191 28315\n55726 79986\n43735 44764\n29354 55159\n13138 34763\n14090 31370\n42305 76307\n40738 83467\n11914 87302\n66149 85718\n50004 93477\n53782 81784\n28673 95950\n88191 97031\n14670 35111\n24265 59939\n14915 53660\n20121 25169\n52456 70719\n18391 62737\n19277 26435\n2940 37344\n5043 80303\n43605 68958\n66503 88840\n51556 97761\n57969 63862\n30676 38377\n8375 82823\n65828 76525\n17021 80795\n37411 98588\n66987 73713\n14507 15887\n36986 62393\n46681 93695\n8231 49439\n15393 48881\n3360 95433\n5557 77011\n37118 70922\n84873 85446\n17424 25844\n8809 18774\n25133 75757\n734 65509\n83606 83615\n26910 44728\n89802 89999\n18211 28753\n962 27770\n15877 50303\n34460 47934\n51399 55017\n43333 67781\n16157 39442\n3882 60553\n52700 56065\n38857 39955\n14247 88163\n17874 77011\n32221 99252\n27227 97380\n47717 47807\n56161 82960\n25856 97631\n71631 86221\n20126 70570\n63078 89641\n23756 49304\n21720 62348\n8141 31110\n52096 61947\n21916 87241\n27281 86507\n61105 69099\n53491 96617\n24252 73886\n9850 57602\n45269 82545\n11065 50332\n9684 20746\n73238 89819\n19316 53843\n88748 94634\n53483 91380\n42685 44386\n25243 64119\n44844 51431\n61657 94698\n56904 90898\n2841 91077\n17563 53329\n22514 29468\n689 24178\n10761 96486\n5811 41249\n419 19111\n46574 54294\n8518 48668\n13667 41156\n89467 95554\n6170 84933\n38665 92171\n26533 30811\n65920 84636\n2335 71176\n10973 93420\n1779 66592\n6780 28982\n5303 92107\n49387 66717\n43629 73488\n33968 75627\n14986 74292\n43663 89131\n57968 70996\n6955 18697\n49330 86024\n57238 87023\n75290 89253\n16038 40228\n13587 75434\n43550 99042\n14493 54366\n25996 94424\n20701 32436\n14574 97910\n15555 72360\n11223 13722\n17260 95631\n41516 65780\n38391 47778\n41784 71831\n3395 63771\n33103 68107\n33023 68145\n9347 50042\n38915 96923\n74707 95275\n5416 64194\n5237 49162\n81839 86212\n14295 24648\n38126 90549\n22464 76098\n76681 77036\n82526 88504\n20074 93453\n48274 79314\n42941 59152\n19091 92359\n40667 67117\n25069 36048\n24011 75893\n18331 42404\n11697 96514\n58895 91848\n12728 77736\n61229 99717\n21411 74609\n45129 92764\n339 7284\n16025 76217\n11858 99384\n37631 38608\n11852 23265\n4847 87857\n45516 93984\n17647 74257\n47642 51651\n45124 67737\n45306 58031\n63086 96648\n32098 96248\n60709 89737\n25236 80813\n52067 70388\n12934 87975\n11338 78392\n10314 11372\n54792 58700\n1904 80113\n45575 91155\n59585 98937\n55572 63149\n59806 86805\n1656 6948\n5885 55335\n12642 98731\n79429 82323\n48093 73958\n62545 71513\n22846 62414\n33468 92690\n7787 21671\n64167 91449\n54139 99964\n45008 90898\n23346 62692\n50782 82612\n55248 77213\n72706 79793\n41721 47738\n54878 83527\n12567 23175\n20774 34675\n38737 77222\n71482 72642\n6150 60379\n21354 22685\n57402 61310\n5706 12956\n19685 60645\n50837 89500\n31794 50804\n2881 18707\n27458 68234\n70095 76964\n6203 94592\n30392 48786\n37511 37904\n2433 93984\n10585 66656\n15799 62575\n16513 22773\n12270 72846\n34556 94173\n13791 79464\n29340 69794\n64589 94929\n55010 78824\n21633 29900\n17905 27220\n14531 68632\n55306 91188\n31635 90250\n706 36006\n17076 48483\n67595 91211\n35631 68761\n11177 77989\n37389 54791\n9905 34707\n49070 90505\n24329 92562\n43583 43835\n98062 99248\n47683 93172\n46567 54126\n49297 96019\n33694 99918\n377 78217\n47496 73158\n14309 93657\n11051 19339\n74658 75647\n59436 64502\n17200 84760\n61044 82637\n4998 38082\n61528 95135\n11762 64145\n11554 30279\n22054 70320\n52253 53441\n59459 68291\n48247 90594\n45959 48461\n2097 39815\n47509 56568\n17615 19456\n10236 84448\n1886 96169\n6125 54872\n22226 28160\n22650 80049\n31580 76777\n75565 95448\n82782 96644\n46010 75655\n9596 51356\n61868 69587\n9687 88461\n21829 36693\n26708 95496\n15034 76795\n12625 95834\n50033 67750\n7452 75076\n18209 62898\n27397 60289\n75089 90541\n39335 92271\n54475 74772\n35468 88397\n36276 37953\n4928 31583\n80006 98807\n2997 13265\n215 63675\n25666 94224\n4268 40918\n9442 74631\n12480 92525\n19715 82487\n2430 60515\n16763 42078\n58945 84446\n62611 83885\n44513 99546\n54251 94056\n1619 7175\n11141 37959\n49052 84232\n47623 69697\n41297 82547\n6147 33629\n14857 73602\n15312 78606\n1595 56193\n8533 66496\n83974 91021\n36400 81393\n9148 29727\n83041 94135\n49198 74547\n47188 66068\n10533 79247\n76815 84702\n96241 97032\n41635 99201\n30604 55019\n6981 96044\n126 17084\n55627 66752\n20363 69653\n19793 81147\n17341 90541\n31529 87631\n66173 68139\n9480 54803\n60673 82725\n39898 69334\n39369 85365\n44368 77435\n89006 93734\n52958 73236\n3354 45273\n50785 54727\n28519 39016\n12208 87118\n75207 76961\n17944 99954\n12705 86499\n35196 39643\n36923 37444\n2407 8235\n78775 82668\n403 46912\n19690 31982\n21329 99531\n7662 16820\n21541 84265\n48631 58461\n51726 90418\n981 76968\n3934 59972\n12965 80477\n1018 92061\n63823 85252\n1970 17021\n10562 26377\n61580 69142\n39261 39844\n82371 98370\n42090 88192\n17173 74083\n11718 46109\n17864 78485\n29208 51358\n45912 75611\n16260 33975\n42805 75028\n52686 69669\n68851 90030\n29073 55313\n39214 97255\n54122 69180\n19197 38809\n77011 93401\n2713 20641\n34177 47400\n52272 54667\n57362 90696\n47751 76765\n42471 97614\n8233 88195\n34039 49763\n43772 50365\n12750 36690\n7408 70505\n28495 30338\n50345 62141\n2429 34180\n2853 73926\n41332 41688\n6344 48037\n40269 80168\n23519 44404\n16976 50117\n61193 88933\n24374 47245\n30803 46233\n60600 74470\n84450 96632\n18012 57507\n32866 94305\n396 24948\n87123 89406\n88688 97739\n7983 42469\n3487 78244\n37278 87672\n85359 96445\n544 52974\n28738 89154\n1862 99141\n5908 28431\n30256 38876\n41940 52776\n590 25544\n11979 61752\n23662 96325\n80746 90704\n8878 93406\n11372 56864\n23638 66237\n2989 70894\n80172 97288\n26698 48890\n34096 95329\n82195 83713\n61154 82925\n32638 42588\n12742 19999\n35652 60141\n55164 67041\n9376 83967\n39145 50776\n46167 67439\n8443 96315\n15136 52750\n12949 41066\n83408 93449\n66560 74415\n49374 87630\n46520 55915\n7111 8431\n43661 57792\n13165 95942\n13642 85971\n5904 38474\n51891 87964\n41638 67128\n19166 79509\n11882 83716\n22292 65330\n23925 25211\n14865 61684\n8523 39399\n21922 35644\n2506 51227\n18190 84315\n27555 97993\n6510 71021\n31623 46248\n43761 93498\n4999 41680\n8022 9636\n18395 26988\n37713 73244\n794 53638\n44751 48036\n9839 41988\n7496 82472\n1570 21383\n36238 46782\n44725 73355\n60431 64464\n39208 60909\n9688 22493\n34333 87079\n47583 50767\n21441 46851\n26890 94587\n31802 46971\n652 57412\n84087 94971\n34048 49484\n2004 64478\n45667 54975\n7116 40471\n14595 21452\n44941 92949\n17896 44715\n6134 9753\n41929 51232\n12067 61202\n42499 71657\n10920 20616\n68370 97904\n34041 88520\n58562 84398\n43621 60696\n40688 67928\n22395 70429\n17018 68674\n64206 78127\n36306 48571\n3486 26606\n82452 86410\n10169 78729\n24443 64446\n20548 23237\n80546 85721\n30502 54810\n41954 64499\n30497 56204\n26058 53137\n19001 94669\n54919 86792\n41499 64707\n15498 93073\n13318 71628\n17886 83738\n48964 74034\n75122 82205\n2885 96750\n71840 97696\n31697 81567\n36984 89503\n37575 88043\n15489 65063\n86941 88150\n24557 61257\n25410 44300\n14608 83894\n57598 82584\n66969 94798\n46927 72219\n1439 19381\n10531 12460\n66633 91447\n28643 46860\n46442 60555\n22511 63457\n53661 68835\n53823 61426\n36715 62757\n20637 37696\n45091 99351\n6483 34772\n57470 69833\n51385 98962\n31490 89498\n47209 60345\n92033 97584\n29219 87173\n20600 23309\n37817 56454\n69751 82985\n7943 82644\n54296 60433\n22603 51675\n45232 88943\n67553 87610\n76014 85903\n3317 6257\n33113 66036\n33275 72536\n63368 80448\n79109 81568\n31435 41212\n66248 88307\n28291 85951\n62096 63889\n5665 29961\n4928 58590\n4414 77791\n54128 73547\n65212 76675\n11093 38109\n23651 85978\n77824 81327\n66551 83649\n43971 60913\n16097 51135\n75431 93738\n73907 86995\n46999 77126\n82296 96903\n24318 96340\n10033 74855\n11054 13883\n46583 50018\n73378 78493\n63464 79617\n25562 54139\n56946 65906\n76153 94385\n32133 61744\n4824 45409\n41572 72042\n57144 90298\n46261 66802\n32296 79666\n19268 83658\n63912 95393\n26348 57620\n45783 95530\n75852 92450\n69385 92606\n75176 83707\n27786 79214\n27127 47428\n6122 71396\n63072 99885\n16555 43006\n14197 94683\n12895 70947\n38621 64035\n12211 99810\n12175 57741\n27795 84804\n22880 54810\n6098 99340\n5990 46793\n6603 63683\n8156 31460\n6595 48920\n61254 83589\n42354 74013\n15997 56834\n50863 52380\n20787 47555\n47600 62897\n13458 28769\n62218 62541\n20599 38724\n19197 79856\n57158 95481\n54299 88000\n16018 82388\n52938 59780\n24434 69381\n2065 35280\n94803 98050\n10184 92003\n23888 80201\n22594 61286\n9439 62326\n70031 82278\n33909 62594\n55082 92545\n35365 84458\n27454 53610\n56138 93283\n10063 41683\n15069 68435\n29767 76767\n8977 88889\n27985 94218\n41522 78944\n46387 81857\n31287 33146\n49183 81857\n47653 71796\n65742 87870\n44902 97633\n38644 58801\n27324 39259\n42065 89242\n47780 96660\n33887 71146\n18969 70499\n21946 93985\n89224 91382\n84882 98342\n42452 99834\n37914 61133\n43425 95802\n33685 89474\n38858 86641\n1058 51695\n31735 65762\n3380 60024\n17513 48957\n13165 74378\n22926 70369\n49991 75872\n16000 25115\n14285 91154\n18753 48106\n36537 77514\n3348 73475\n60515 64173\n2813 91254\n26812 30896\n64411 76923\n9871 37113\n24348 55124\n32349 77212\n18951 47496\n35811 83425\n50822 94179\n50845 60579\n7780 58271\n55181 82336\n16407 57145\n29947 99722\n15067 52440\n5150 17022\n22417 44559\n38251 80507\n6984 61849\n43263 50248\n57615 70690\n10622 38042\n13858 59989\n56299 85134\n24998 90577\n24623 39243\n3657 79162\n9709 45753\n4369 42122\n19310 94623\n57099 99549\n50847 65488\n43667 90605\n49473 94779\n58436 72181\n22780 54545\n21207 57797\n57442 59702\n12327 40088\n8048 46032\n9146 66277\n1610 55116\n49519 66306\n12531 78588\n33690 62557\n42112 92074\n12087 15380\n20461 55495\n88332 91935\n12745 91124\n67354 78300\n5901 28922\n87838 94006\n57894 88280\n42663 85699\n9231 33431\n22773 96863\n1941 25753\n17152 71126\n17593 21518\n36025 84342\n40448 71596\n29323 74617\n37256 41382\n42573 45105\n28291 48676\n34523 46938\n46828 53610\n48436 85529\n1743 36868\n5726 17523\n76015 92594\n89601 99571\n3028 49613\n20770 43725\n46370 61096\n52484 74103\n18547 26998\n72724 90802\n16565 32490\n73301 76396\n26047 62290\n503 34419\n45578 59741\n29889 89761\n5671 62142\n12068 64087\n23023 40553\n65558 94498\n29002 93953\n73855 95393\n63348 89020\n7431 72099\n32844 65787\n26965 90895\n6252 6466\n26937 43390\n33313 64284\n66880 78715\n69363 80222\n16717 47682\n30097 39364\n12799 66484\n46555 48486\n23236 62371\n14231 96221\n485 24601\n28167 47042\n7684 97370\n13218 86921\n1896 10872\n22720 75939\n36669 62855\n11576 58526\n31335 80811\n57447 93082\n53306 56502\n58807 74237\n24148 40553\n41610 80919\n20607 72877\n3661 39138\n43829 76557\n14418 57133\n28070 72982\n3694 64278\n12235 37965\n52495 71763\n7134 83099\n49610 84864\n84890 86180\n62125 93843\n3843 96142\n67868 75760\n16972 76243\n71625 72789\n12590 60052\n76051 92862\n12779 44905\n11643 95371\n25887 56440\n12922 46394\n39020 39411\n2322 91141\n70545 75471\n42478 53019\n23212 83646\n48424 58920\n27183 38320\n19286 97747\n2173 89175\n3835 22953\n15469 87024\n25027 65306\n8991 94341\n70282 93135\n30369 41087\n21161 76321\n8073 37516\n39474 57002\n24888 95497\n57603 71752\n14673 84337\n38451 94019\n336 30114\n48871 49582\n63880 75263\n3748 72371\n62855 81803\n14302 17619\n16421 51312\n22364 30159\n8057 23329\n23306 54859\n9003 48507\n41029 41043\n56229 56827\n4392 79858\n78734 85982\n23258 37086\n15823 52847\n6412 53435\n32940 70698\n32652 93971\n16771 84463\n40060 47322\n12707 70359\n4351 55629\n23397 74558\n2149 70942\n277 21467\n40611 90205\n59388 64772\n3350 84271\n16335 64853\n83157 89889\n47195 83420\n77240 80071\n42676 70468\n18864 65198\n33768 75374\n46463 49304\n6554 24632\n55310 67214\n23322 73614\n1520 98188\n21207 83946\n49423 66457\n67991 81163\n32382 61976\n67939 95773\n53988 64833\n49765 69068\n65606 68829\n54216 63902\n63929 69633\n32723 54301\n30397 38475\n29602 71004\n5749 38592\n86657 97556\n1200 73793\n4989 46929\n23012 49910\n60855 96565\n15039 25491\n15112 24637\n11546 35379\n20790 73283\n66188 79266\n75414 98371\n16132 39829\n25 68767\n8234 69873\n43784 55299\n3443 92578\n23647 53565\n14923 74061\n75289 84114\n15133 97220\n13541 20365\n26070 50193\n19328 27347\n57949 96327\n57137 90547\n3235 5843\n29343 82269\n28487 87706\n45677 78885\n40992 70384\n36056 99147\n76387 86504\n41987 81054\n53906 59499\n73867 96583\n21357 57572\n89524 97056\n13605 25546\n3198 61710\n17961 59991\n11174 19104\n22017 87059\n5139 20989\n31223 83490\n24876 98139\n23882 39194\n62116 94942\n50669 74680\n45148 56724\n85190 93346\n28301 62843\n2849 95373\n6682 83735\n32251 37239\n10521 16469\n32522 68232\n55277 80566\n39812 89232\n47622 73234\n4353 70311\n1466 3584\n55600 55835\n37714 99558\n66377 78622\n5505 78079\n16809 69389\n63435 82449\n13168 84355\n16109 99696\n7869 57193\n7027 90985\n38209 38588\n4431 26343\n54020 56890\n80608 83530\n3005 39784\n16666 83127\n65788 84940\n8095 75887\n13297 92920\n2294 75815\n59226 74635\n23324 91311\n46815 58136\n76570 86466\n3842 93411\n6405 36914\n24584 29770\n8413 81538\n64846 88963\n3017 16364\n6052 69572\n39649 94671\n11452 78462\n11610 75561\n27572 28029\n72031 72108\n63753 91488\n1999 9267\n12305 17927\n20095 23980\n24948 81566\n3665 97982\n61719 91724\n17491 77636\n49103 76270\n25685 27357\n77495 87030\n17188 25929\n50812 94551\n5039 95810\n37031 58122\n2868 35320\n89817 95165\n17884 17897\n38549 98062\n3993 70055\n19930 29140\n47217 55728\n69907 81784\n20053 66676\n9765 66042\n12202 88400\n34193 73636\n56228 58808\n32306 96116\n8318 71874\n8873 17325\n26701 62317\n27638 71717\n18168 25229\n31003 99813\n87242 89724\n95032 98010\n87768 95625\n33838 49015\n29235 84454\n46371 47000\n19147 90235\n2185 21823\n62788 72053\n19129 82985\n25503 68827\n75576 87720\n68733 77362\n46453 97146\n14828 94853\n14241 71561\n12437 29169\n36202 43242\n38366 86712\n50154 87526\n1080 24091\n28149 35960\n51695 78239\n27735 51972\n8427 41664\n69862 85098\n19475 51922\n48528 61839\n20523 75020\n6650 43695\n66201 90367\n7631 91645\n48677 54898\n2355 26226\n5812 13155\n62808 71983\n7101 85378\n6069 55067\n59667 87932\n40470 82545\n34683 98029\n65784 97040\n17922 47043\n45203 76346\n26598 46328\n724 98011\n51683 57838\n48174 75989\n43703 59106\n32202 89449\n32864 44948\n10105 36232\n40772 49844\n28103 85388\n23382 90098\n59160 85608\n17310 71324\n58414 86123\n17187 57923\n23323 64096\n28807 68888\n28357 69027\n18941 70403\n10885 88965\n22420 32254\n75782 89339\n45485 67351\n4397 52878\n54931 78813\n22513 65086\n6702 79500\n60168 82621\n45359 62409\n22650 91482\n27381 87991\n157 28211\n5298 56550\n9709 98096\n29315 47484\n17532 86866\n74147 95472\n31508 98336\n7257 88628\n59522 95028\n9291 38655\n53791 74891\n33998 82913\n3814 21440\n38643 53181\n63182 81343\n51323 71665\n15361 33769\n24331 70093\n43767 65229\n49207 99076\n21299 79807\n39204 51262\n71030 74692\n5111 41181\n7955 64981\n11651 57094\n51828 88071\n46554 71642\n33537 44287\n8269 52637\n15083 73204\n41014 97664\n16132 96266\n67202 77182\n18566 49303\n48179 56611\n30675 66666\n18017 18519\n40394 46946\n44387 71636\n1903 52335\n30686 91570\n37999 51120\n14387 27520\n4864 54612\n14851 20482\n51334 58889\n61427 75597\n22694 91318\n34894 53600\n24896 65414\n37236 80960\n36338 83552\n34595 74516\n23477 99489\n6083 67341\n52265 59569\n27719 44977\n4118 64287\n3800 21988\n19981 55010\n44185 98302\n44421 47759\n31283 92659\n64834 71274\n64055 71233\n27325 70593\n55598 61123\n22428 86055\n45096 86050\n56995 72807\n22995 53849\n44498 85452\n41870 69217\n1545 96694\n22519 89363\n15631 35047\n12597 43203\n39226 79725\n41440 90516\n5397 66627\n15857 17002\n39704 72314\n14732 75318\n17041 32008\n40212 72655\n10181 86190\n71459 92846\n73241 75885\n5488 68640\n13124 25668\n58876 84624\n5416 86005\n34372 86585\n396 48084\n48756 67086\n87903 90049\n577 54964\n14971 27231\n2116 20403\n64199 71102\n51905 92836\n44855 97199\n59401 69093\n6723 39295\n14854 39549\n43195 54284\n1575 90436\n4381 8696\n28937 30394\n29935 54150\n17282 83722\n38173 43222\n42617 52678\n20228 96927\n23864 45629\n53213 59551\n26776 51414\n2425 89828\n68984 73578\n39529 64588\n9817 14646\n52946 60029\n45571 62941\n45609 69524\n7425 69195\n1885 87255\n83949 87026\n45429 99762\n1983 78215\n1711 97321\n83856 98405\n13714 31028\n30973 76252\n55531 75182\n4696 84892\n55112 70335\n72253 85528\n75059 99907\n4175 30839\n61364 99264\n7113 43956\n45440 47770\n9995 94328\n46516 89024\n5408 8416\n61449 68860\n11176 25217\n4768 51606\n4026 24109\n23694 73527\n2994 36401\n2782 84534\n14778 85674\n17448 50770\n36345 62716\n1575 80221\n43294 75415\n38225 48081\n6343 92298\n43430 66132\n7004 35624\n8633 65787\n10499 99004\n18507 94137\n71121 85358\n55698 62576\n26502 32467\n8088 38575\n7512 67281\n54755 94209\n21035 47021\n47985 83889\n36648 85316\n91645 93976\n11351 69385\n24136 59448\n67262 86230\n47066 90604\n39049 59128\n17530 85311\n15824 48330\n17515 55202\n59962 99410\n84935 98354\n40092 78644\n62534 71550\n28215 73068\n77702 90269\n20257 29382\n94473 96321\n44135 65196\n50300 88023\n18407 28043\n8136 86474\n39815 44825\n65937 71017\n75702 96386\n52509 93755\n17096 18054\n12077 81103\n58912 73957\n21806 84470\n55794 95009\n63605 94184\n89565 91063\n48901 85542\n1461 10736\n28907 39538\n21106 31169\n29228 46559\n66416 74013\n26517 68814\n8887 24776\n68553 83967\n26538 54655\n36899 43395\n27479 61184\n29378 89079\n71015 72624\n3361 70641\n48043 52296\n26644 79334\n17233 27446\n28841 68147\n24443 63147\n6018 73989\n9731 13351\n20727 59331\n6613 82816\n31523 90614\n48915 67288\n37411 86983\n25297 70159\n25693 42307\n3643 51912\n73877 90621\n73848 81033\n79891 81285\n30262 57347\n10812 87787\n71686 92333\n42398 94093\n71888 94470\n21294 67194\n30866 78388\n81595 89980\n16033 85374\n49736 62026\n714 5629\n8369 90483\n51083 75414\n65079 81733\n42555 43902\n3969 78514\n59883 65646\n59274 90796\n67913 98016\n55698 85373\n775 24834\n8634 79955\n66877 98928\n13693 91381\n15232 97004\n19249 90554\n19470 43088\n30065 67123\n4404 24866\n5012 96385\n8256 78203\n28344 75547\n43063 96054\n93938 94144\n69415 74802\n50984 81479\n21168 24009\n25620 30714\n5727 29611\n79884 81765\n83812 91299\n17999 32645\n50438 59181\n9866 66158\n88483 97638\n34107 86229\n46790 81135\n12413 43523\n17689 85375\n7749 88668\n61135 74502\n36191 53840\n78270 87635\n32018 96773\n68474 95288\n14375 79935\n4319 20707\n12413 86524\n27106 66476\n30645 63552\n48810 79949\n10751 65785\n37056 89187\n33905 70430\n21094 64202\n43257 80736\n5899 92088\n53138 60443\n15183 52909\n26068 44579\n775 71879\n12298 92055\n1655 5605\n4261 95637\n23081 97914\n27157 86304\n62870 79507\n14723 87312\n34833 88930\n3079 51066\n25256 81516\n15293 83955\n22309 90344\n9658 39591\n87008 91646\n61772 89219\n14396 35812\n31265 37673\n22814 68160\n10708 14119\n49589 53886\n63836 96290\n30735 55814\n25962 74788\n20207 33021\n56083 77088\n69370 95718\n15787 17365\n18502 33021\n14996 33316\n36736 58539\n20638 62355\n20543 34467\n6283 11936\n6327 99963\n26480 69568\n61496 84735\n45429 69449\n6039 41041\n20552 81920\n24667 88442\n21212 87835\n79342 79474\n60558 87970\n46826 94903\n15917 22922\n10439 23081\n31437 53034\n21138 99104\n2193 39584\n52280 62556\n15279 95705\n27092 76694\n37789 45942\n32622 51135\n4248 50057\n56728 88511\n14035 73213\n14298 96719\n30118 51773\n1941 12630\n9747 71911\n34627 55189\n26015 81073\n43901 65616\n78548 92112\n25208 76652\n59594 74115\n58864 93105\n25775 82430\n64492 65470\n33650 55892\n16200 86370\n17358 45852\n5882 92357\n42722 63386\n12198 25915\n15035 48766\n34569 78883\n58213 74685\n31976 83016\n65065 84925\n209 33109\n2225 3789\n11949 25308\n38737 63756\n56608 68458\n53450 86282\n5448 77971\n65315 96984\n44972 88505\n4238 8658\n23160 54674\n61942 96339\n19279 70621\n53332 56760\n25556 65741\n23739 83924\n18893 34713\n94970 97651\n45760 87182\n29668 39838\n62664 63924\n55629 95058\n1043 70824\n31549 55130\n42491 56081\n20678 36698\n71435 71595\n26511 46465\n28444 66139\n16699 59283\n10604 94645\n37525 96316\n4227 68057\n42100 79355\n19021 39043\n58553 82079\n2964 75255\n3905 33010\n45399 61769\n71130 73840\n6878 52837\n48545 59156\n7494 48236\n77586 79190\n42712 81332\n51177 92087\n36613 90812\n61049 73771\n725 11382\n28596 39399\n8124 77913\n83599 93596\n44046 87484\n7027 72081\n80176 94554\n49925 80327\n17667 56212\n37584 97456\n5015 90336\n4799 87161\n19603 49921\n36806 38339\n45342 53965\n7028 57899\n18609 59262\n59826 84415\n16184 38714\n14561 66151\n16059 67768\n81365 82091\n25665 52654\n7835 80193\n2127 66547\n16445 64500\n79350 85251\n54526 90503\n41812 90018\n43881 61294\n5698 60168\n29194 93489\n61765 83449\n12654 33958\n67846 81447\n18313 25395\n61427 97211\n724 56945\n72946 80640\n82626 92637\n17902 57557\n17838 82990\n13385 57864\n59457 97842\n27749 41509\n10740 12161\n24141 78042\n11126 69899\n50737 97131\n7710 47367\n73835 97454\n19002 96955\n35160 65937\n39614 43599\n40971 59822\n15973 47204\n52808 57733\n19215 58317\n68512 77788\n64084 67594\n44122 99201\n42769 85503\n14576 70034\n6243 55205\n68827 70306\n57737 64225\n70306 80190\n39462 44603\n42358 94377\n31461 66330\n31496 39838\n36360 82747\n27116 55811\n732 9630\n73027 90218\n73110 79030\n67783 72897\n5488 82720\n29197 42123\n8058 92652\n21281 97103\n26210 98298\n34731 97950\n24923 37928\n58505 59275\n21827 74997\n33246 59284\n7056 22098\n19811 38226\n22885 91745\n41311 72728\n3096 34015\n7716 30797\n68348 80968\n1232 16918\n21430 93278\n12589 46834\n16984 25083\n63740 69432\n85672 93838\n2029 43771\n57070 70566\n6926 35341\n52184 62209\n33410 65272\n70296 77218\n24516 77013\n12029 76466\n35697 59303\n7629 41950\n16584 19639\n1049 99194\n38788 94309\n26522 42412\n1244 73917\n11500 74856\n19414 83272\n30887 85759\n48017 82426\n27738 88815\n29160 50557\n27716 74156\n33927 56177\n23595 78190\n11351 51560\n26858 99724\n22671 37927\n12469 64674\n10037 24326\n81580 99431\n43024 70184\n69401 93591\n14533 40425\n27609 67004\n41013 44511\n54945 77439\n21994 73652\n13255 36531\n3661 4137\n7539 40373\n20109 76165\n54102 56466\n22936 22957\n24704 57818\n22310 65901\n67489 69193\n2179 78429\n20284 27457\n63681 96779\n16771 19163\n77443 83914\n58632 94522\n14451 39317\n79461 99529\n1980 11288\n58800 74441\n8510 80058\n16940 37559\n19089 88476\n25217 93664\n8465 61097\n52925 62083\n85 17887\n412 13678\n43881 86627\n24925 75890\n10737 12844\n72239 72452\n19874 21521\n15454 67157\n76496 82982\n62867 88263\n37417 40185\n20862 52559\n771 74120\n41989 92797\n54554 66508\n52984 72768\n53342 74138\n63907 80454\n8074 19051\n33763 74424\n10354 48153\n45979 80508\n36367 89703\n12788 29931\n13082 75232\n12243 32236\n17191 57589\n33580 99371\n12522 32220\n33475 34668\n13831 86407\n20627 66325\n12749 85628\n7638 38966\n84473 92551\n55936 99772\n23116 60295\n8369 69615\n51794 57704\n18506 57069\n71076 95687\n1928 61843\n61223 73358\n65933 87972\n6806 97802\n4825 75911\n31318 78677\n8285 88140\n39689 54852\n7107 16263\n26456 62476\n6577 25141\n31116 63423\n18343 59635\n52470 91739\n47263 81854\n10748 81797\n85842 96802\n25214 98442\n25609 54800\n89466 97397\n2494 12475\n32161 37887\n31667 59508\n68955 90453\n3089 15964\n1754 44591\n54438 60788\n11593 38073\n57343 66161\n32240 44884\n73 30355\n27767 65829\n16986 35731\n63842 65351\n17050 21585\n16295 54362\n5372 54816\n34752 62063\n11833 36912\n41500 65288\n78262 87538\n37519 83276\n51426 76156\n24403 41253\n18503 76431\n32487 86333\n26618 54582\n17873 74232\n13192 67557\n64227 81723\n80844 92794\n63130 85058\n61786 64596\n15347 79920\n8711 46830\n9847 22165\n29588 79111\n49507 68117\n47537 94581\n27124 66343\n14584 15199\n5001 36479\n9963 36973\n63521 69628\n2893 18542\n3039 36657\n31436 93474\n52054 81835\n28984 44898\n22510 73085\n30074 45579\n19814 93733\n9904 31907\n36165 93813\n7237 98057\n46842 66235\n29340 43184\n18217 85176\n46197 74090\n5826 67056\n35823 48846\n5376 81043\n8894 84930\n8540 33004\n47913 79722\n25349 87120\n8681 50668\n46579 65642\n23455 55577\n29266 55977\n52925 83360\n49216 98803\n11212 81354\n33540 96644\n9927 98288\n30198 73130\n50928 51926\n91474 95071\n2575 87462\n84197 89630\n22680 77502\n15752 90989\n55630 66544\n8329 19515\n60674 78613\n6815 96137\n42036 91755\n22321 55748\n10170 83359\n7376 51928\n24450 53873\n63345 64747\n67282 73420\n7477 63082\n48977 82531\n20755 69359\n45168 91946\n49242 64535\n19504 51791\n23288 87672\n6290 77760\n99793 99873\n43532 50626\n1044 3838\n14371 47978\n19540 80674\n53179 86675\n66097 79015\n70850 89367\n36839 62814\n96822 98527\n9332 88861\n68399 71171\n32092 37156\n27775 45130\n72854 77278\n67111 67877\n17306 96288\n16113 74624\n21511 96640\n73275 91304\n49127 53587\n8622 80798\n72793 95401\n47886 61349\n58627 99217\n29258 39908\n20361 97231\n82368 89222\n3380 51627\n30448 44405\n23429 75594\n36222 67142\n338 6267\n84150 87303\n65849 89363\n40786 83001\n23792 40323\n30417 84242\n7507 97470\n84251 88481\n52037 63097\n14954 16356\n37235 93672\n2752 70781\n31713 66486\n22424 44088\n43680 48094\n16535 87644\n69856 69930\n15397 49826\n20129 30484\n16806 77006\n2066 68463\n2676 6263\n279 76182\n53726 69559\n51834 96963\n63239 82482\n11779 81514\n32220 88513\n11412 85187\n8383 75381\n7448 56226\n840 1852\n16308 70795\n51589 53330\n692 62656\n10808 68718\n70940 96040\n28578 94654\n10638 29537\n19927 60031\n1856 56938\n84315 87104\n33661 88334\n27375 50350\n6566 26811\n17002 90838\n44102 44576\n35319 55818\n35382 40610\n6178 20877\n72598 74343\n22363 22996\n54693 74199\n10186 64792\n18385 36058\n29904 52116\n1510 50538\n9344 47022\n58727 79969\n49073 76767\n20232 81339\n16370 65252\n19737 99548\n9702 25083\n25395 91589\n19809 97745\n19838 51938\n17322 33969\n51574 55953\n28895 49595\n25613 80129\n15764 95086\n15030 53838\n29417 47966\n56203 57278\n39328 91332\n10898 76823\n19523 30798\n7941 15493\n28017 51038\n76621 89472\n83696 86242\n52717 95766\n64419 95520\n12717 82285\n10963 91672\n31251 67053\n75490 98949\n35054 62658\n51730 74268\n1217 47946\n80529 91951\n38463 43517\n36535 47955\n20275 47006\n28340 30809\n27894 54971\n27893 77870\n36959 59608\n12641 96070\n6697 66306\n39480 69675\n92934 98655\n15011 97292\n63199 90939\n3356 14977\n29274 79755\n67358 93250\n17551 90217\n23942 87686\n1372 67350\n21995 69079\n17335 95611\n59276 80383\n68480 83779\n61888 68292\n46426 99414\n47591 53756\n65580 85769\n35195 69467\n16414 63674\n29689 49324\n8473 23797\n37979 86250\n47724 55964\n65643 68531\n16215 86453\n63271 89152\n1798 27519\n3774 91939\n64607 94702\n25922 67511\n1025 34826\n44573 75094\n23264 27164\n21055 36395\n13989 35890\n30037 44467\n67634 95493\n20536 92706\n49974 65350\n27102 30158\n60291 94150\n30630 90063\n14319 33515\n6133 66258\n9899 38826\n45626 54364\n72023 99407\n386 74594\n51068 74013\n26810 71201\n21410 31171\n10864 15321\n10119 83310\n28120 69080\n22451 22944\n33664 34628\n20359 26072\n21514 93430\n61679 73974\n47277 72905\n8914 57808\n15061 16171\n24777 62705\n34049 76563\n65596 84425\n14665 19802\n19175 88010\n42259 47961\n29958 91465\n50723 57632\n21817 51603\n1225 45765\n44515 90884\n24763 31139\n6668 46678\n6342 90513\n33317 75582\n77644 81338\n63342 96816\n30468 40886\n3844 72775\n6651 93922\n20579 85814\n34979 37341\n19135 87117\n6330 94109\n54106 81147\n16397 76305\n7345 95159\n14102 75267\n11230 88320\n12693 63643\n25620 95775\n16495 94945\n57707 63874\n24568 96049\n21437 43897\n12834 54055\n60584 97438\n14052 15616\n10309 85427\n64197 91607\n11242 73401\n39706 78545\n44785 71845\n36165 72055\n54904 89746\n31754 47155\n48273 74604\n9354 93467\n66059 90468\n15294 88776\n3993 38650\n57324 96314\n76336 87378\n44752 82050\n26502 41326\n29264 33384\n16721 19453\n66383 96710\n20867 56256\n38646 80911\n51999 93385\n71745 84930\n68640 91284\n8737 43034\n20343 56424\n36350 50072\n5740 10490\n29329 66927\n41307 52237\n10945 18059\n18607 41577\n2266 7513\n16316 84262\n14086 92722\n58104 77931\n32925 66884\n26598 70034\n96177 99804\n32927 70826\n18980 70540\n27646 28771\n46238 73772\n27899 46865\n1502 61376\n10224 99006\n30847 68776\n19910 66042\n18690 25758\n36916 69623\n45738 82293\n31002 48232\n26827 56555\n21934 39933\n9562 76706\n74373 75354\n39178 43778\n64787 83195\n19980 88499\n83669 99306\n6295 19046\n11900 71342\n27683 63311\n39176 78750\n41772 80233\n76490 95873\n34494 96848\n20542 49199\n56551 81035\n83298 95476\n31349 85258\n55289 92926\n25964 73480\n40437 71822\n4981 71620\n53672 94276\n40795 89551\n17449 90523\n44791 87545\n31598 56762\n19687 69759\n78820 96597\n44999 52051\n26792 79506\n6988 87481\n20990 80892\n16342 97139\n18761 78560\n35241 73541\n83737 92040\n54185 82805\n4428 91515\n34120 50713\n63171 84670\n42119 46102\n6186 50443\n70644 90344\n25741 29637\n40860 76971\n32435 32744\n84202 98396\n32436 77306\n21572 49099\n23984 83129\n24642 87958\n74975 94012\n35679 89950\n11195 84420\n38654 82418\n15014 68644\n17533 84950\n68082 72469\n33154 92984\n7772 74957\n1820 18253\n31550 36394\n3297 3522\n48383 69154\n79346 89159\n25574 81818\n29652 34279\n46894 52440\n3330 29057\n28653 44922\n6199 94817\n85777 98209\n7983 20089\n10984 52960\n12070 98180\n86873 92082\n38027 75018\n40544 92678\n12702 30603\n7863 74826\n177 51744\n31389 58126\n1732 47660\n41970 71069\n70756 85066\n74017 86371\n14588 88328\n39526 60348\n74727 79042\n29135 29265\n56273 81713\n7455 26395\n67189 90255\n45445 50535\n5653 9263\n17924 44650\n36534 59030\n41223 88258\n19268 67191\n28752 81338\n9490 10035\n31141 38511\n86793 90008\n48787 94515\n17643 72446\n15791 28588\n47774 55809\n3470 49889\n38977 48144\n11334 91177\n46779 57473\n50167 61454\n75515 93902\n10385 40179\n7102 84593\n243 26095\n69053 77509\n26514 69843\n74874 80440\n19041 58209\n9213 73825\n11439 43071\n77498 82983\n23963 66071\n1801 95307\n22126 47481\n56764 77533\n40312 75872\n68169 72110\n56565 73401\n58251 74383\n28425 58745\n88937 95577\n65179 81352\n4760 6830\n72507 95949\n19309 27860\n27218 75361\n47507 51787\n30611 71856\n59605 77254\n39374 60638\n3203 46588\n22641 98611\n188 41669\n77968 78957\n4529 80719\n62315 95170\n53583 81246\n45250 57144\n66872 80557\n13574 77075\n58512 99658\n47829 78437\n85556 86445\n21287 91423\n59409 94810\n9189 63611\n39426 49258\n32143 64789\n71136 78560\n68370 99787\n15188 76825\n13593 90690\n11029 35223\n4002 54168\n61685 97906\n46920 81894\n37764 97371\n10083 75898\n25166 49165\n66678 73156\n65809 96464\n23860 83519\n3646 85313\n34254 45386\n26989 42869\n41478 94562\n86643 99555\n27757 91059\n50301 79782\n26100 69859\n25890 56143\n13237 98959\n38888 83786\n29023 86286\n69963 71056\n61286 73123\n54919 78200\n61550 95981\n16040 89983\n9856 48303\n58279 77081\n30175 98719\n3510 82766\n433 76118\n13113 73459\n16832 72178\n14422 17644\n81707 82414\n37469 78062\n36283 83402\n2495 77762\n46224 67515\n38969 60851\n86784 93417\n88832 93967\n10579 92923\n220 24758\n34696 77626\n11713 76128\n70306 83161\n20228 55563\n16233 78365\n71936 86403\n1956 47424\n4821 55236\n47118 72220\n7896 80793\n30457 94437\n36557 97240\n6974 91879\n13493 36245\n18456 29716\n959 9254\n38749 39779\n5184 11199\n91182 95322\n63161 93364\n2353 74128\n62894 89862\n2707 8445\n8515 11592\n31219 65717\n41573 47451\n59246 60309\n14309 37500\n28537 48279\n1220 42372\n31647 40882\n44278 65157\n23340 46480\n45074 93300\n66432 72188\n26817 89446\n76929 79837\n30658 38438\n8304 22327\n17532 75625\n42171 66776\n35302 59323\n22780 86694\n25118 32224\n72179 87025\n73922 91223\n28277 29515\n43171 97597\n59423 97753\n47363 66988\n11638 35488\n44870 96053\n35426 84360\n32794 61150\n18385 19392\n12363 26301\n78219 87292\n45133 52715\n11197 83249\n16509 57485\n6176 82966\n65346 76142\n7258 20400\n24090 68139\n65970 96870\n8515 18529\n7755 17940\n74622 88916\n47286 99640\n53841 83870\n11134 17221\n21486 89418\n9951 93546\n3157 97713\n26061 32434\n73793 93812\n1659 6775\n19053 27615\n38262 99249\n3163 12836\n32626 49445\n18352 52032\n63059 63585\n86780 92489\n57609 57732\n2135 46138\n7913 52936\n41180 99988\n10610 34361\n18699 53604\n22148 52325\n25102 77679\n6852 48554\n60555 76694\n33048 46045\n9804 62009\n17895 83950\n40930 96248\n28715 57121\n26668 72252\n19469 67282\n26381 93506\n42688 95364\n40004 46768\n2247 21960\n10035 55723\n68954 74920\n5820 85910\n62300 87352\n15368 79308\n27599 41534\n51600 62900\n2607 75800\n1600 88623\n4279 88428\n22262 27825\n27887 71550\n58431 85549\n7655 73363\n9049 53530\n18452 25568\n47094 76833\n75591 89994\n39415 74609\n63869 84883\n74255 83719\n27707 57606\n23140 67034\n72347 87662\n26785 45721\n59744 65927\n38820 96040\n27601 57763\n31019 73488\n82693 99662\n43385 53238\n47330 81592\n13205 97743\n24096 90060\n22829 27829\n39566 68548\n38775 60121\n78709 98265\n77425 78707\n9032 84604\n73789 77506\n49112 72022\n31688 34191\n23281 78307\n20544 36717\n5045 6134\n38397 86359\n39340 79704\n3393 22110\n82938 91002\n39615 93710\n8499 81219\n94057 95421\n70278 92567\n1109 67454\n4594 35979\n14223 36691\n31743 49688\n48041 85483\n2619 73056\n63833 71312\n14680 42690\n21454 44886\n4044 95462\n67730 68766\n36418 92290\n55570 91098\n21239 39633\n13832 46853\n8823 68364\n60992 71796\n13624 21559\n40239 76693\n15614 83036\n31510 79612\n42032 73731\n21949 39956\n52640 90798\n4693 72169\n57016 60437\n69231 75084\n45813 65917\n5634 56415\n6972 95997\n78453 82898\n18257 29594\n59623 82438\n60070 61523\n30943 52639\n32697 56109\n42031 66057\n84720 87513\n29805 50441\n6192 16484\n11037 71545\n60209 66859\n18404 50685\n81601 91202\n7472 80152\n41730 91532\n77451 91231\n50528 92060\n23035 60993\n31025 95376\n8538 95510\n46313 47441\n38218 45669\n17556 40863\n16022 94736\n17447 70353\n6571 33363\n38048 47703\n25048 98247\n27706 86827\n62562 98274\n26352 95335\n41133 99282\n44821 99414\n24521 24526\n49194 75455\n4207 38340\n51653 97108\n51143 60705\n33264 44367\n4317 92018\n9665 44527\n7470 42411\n34237 96980\n42152 44186\n51156 58148\n12182 74483\n61063 69235\n60705 76761\n34780 41932\n49158 74869\n52276 72230\n59695 99797\n34600 96046\n48456 67184\n27726 39213\n46252 64847\n61308 94641\n59401 97077\n24091 90516\n60464 68342\n43387 83297\n7001 42031\n59324 91870\n15507 16989\n51187 86272\n52798 71008\n23724 38609\n68006 95993\n45456 96942\n68185 87786\n43939 79234\n5142 89719\n66420 85066\n45182 94569\n11258 36431\n25902 95684\n42207 94273\n57823 71285\n51391 70143\n67757 91720\n584 95777\n31666 88241\n25908 57395\n54912 94744\n44565 67659\n16496 20095\n9787 67666\n43155 72634\n37736 52872\n36144 55368\n57494 66019\n14421 16696\n9794 61179\n8343 73672\n31827 71975\n38588 96447\n24692 97479\n5172 48445\n24193 95235\n3777 46445\n12005 94998\n3045 75392\n84381 87302\n22729 95283\n93598 98553\n52741 88500\n22933 81693\n63133 75060\n50446 83701\n24954 51785\n25931 30535\n41111 75066\n25926 97514\n28609 74184\n6596 11658\n64997 99790\n7183 30771\n47022 85735\n7778 43005\n3917 40588\n67624 76499\n2295 58364\n17973 58165\n46038 81521\n12179 83220\n8120 20831\n38702 76577\n72529 86681\n92550 98946\n19811 20069\n25366 97388\n27669 69247\n36947 87362\n23758 53376\n34965 54196\n11343 51393\n72703 83925\n279 66642\n23427 40230\n15022 66900\n61574 65286\n82725 90291\n15486 38456\n9617 24706\n1444 32914\n19217 56082\n36513 67561\n48064 58919\n33015 95060\n42831 97097\n22591 73095\n26824 40215\n32102 34344\n27185 70040\n6634 71371\n12033 37752\n42767 78839\n46941 95427\n7781 32170\n15112 43102\n32916 61067\n58058 75824\n29451 55640\n13595 38214\n20767 96405\n81882 88321\n60054 70028\n72604 74082\n4733 98443\n41128 68087\n69966 92965\n18105 82936\n38765 66140\n57486 98258\n69872 76601\n11575 31334\n72710 89897\n34983 92896\n75575 77985\n56463 90494\n2800 76622\n44015 89639\n64164 94646\n11890 61562\n24930 35295\n55156 70468\n30678 41056\n4520 25307\n67613 84627\n7553 54138\n42343 72739\n10880 54123\n8620 69984\n85681 93971\n35553 77796\n30592 79737\n65105 84356\n24597 50150\n83357 96031\n57465 68799\n6148 21834\n36965 66854\n64920 75580\n23272 62516\n11153 68764\n79307 79841\n28327 61144\n15951 50244\n6553 44612\n72126 92259\n45753 58211\n56254 67048\n13255 22972\n88834 92289\n61449 84812\n22887 33348\n22705 90923\n47084 78040\n38476 55015\n24604 66128\n72231 81029\n32784 50504\n12945 77337\n18600 92268\n33314 56608\n21511 79953\n36654 54562\n61174 98982\n21557 72346\n67046 74610\n49604 61930\n13771 17204\n12509 41878\n708 18221\n39217 96316\n65221 76666\n56533 84226\n4428 40269\n23475 71121\n21951 44247\n42940 72148\n65766 89666\n25582 31454\n37219 63514\n69534 94084\n56191 93549\n74384 81232\n23421 34350\n28809 91713\n57169 80829\n52912 79111\n26174 34980\n6642 77444\n60243 64504\n69640 91838\n26234 57560\n39934 82538\n67889 80518\n23609 64359\n14287 50376\n1936 60260\n18377 71745\n7714 52459\n14851 69054\n45284 72513\n12461 16551\n10229 44074\n2998 24253\n13483 44507\n7091 39283\n77678 94335\n2933 77962\n66554 73259\n53093 89285\n12270 59700\n42183 84663\n25456 91550\n52722 63771\n42561 94067\n34959 87890\n80168 94501\n16193 49822\n68233 84839\n8267 57895\n7271 72833\n65110 79105\n59292 78986\n317 83511\n43457 57503\n35186 44368\n42452 94771\n7132 44353\n9705 85510\n13718 77806\n60911 93831\n41793 92903\n67764 80832\n18109 76730\n78459 85332\n55074 88350\n53422 91762\n2318 44391\n1009 83629\n9185 10434\n18189 43741\n20508 54376\n22004 55770\n72884 81609\n71418 95197\n2644 6073\n18454 95734\n21046 36161\n49981 85248\n23065 83566\n23869 88087\n35171 77700\n58013 77130\n48239 70050\n88685 90004\n67494 79623\n39353 67545\n18225 62369\n22798 94208\n18107 44154\n10017 11099\n4083 64814\n41029 79595\n36617 39527\n64366 82428\n79597 99644\n33764 42297\n87434 96255\n5662 69032\n8584 69356\n28160 65411\n5394 44373\n25547 65100\n45428 71033\n31463 93614\n44918 99447\n83350 84737\n477 3695\n9331 62748\n16802 47008\n63418 82099\n29836 83131\n12972 56929\n2475 77874\n19780 33701\n11792 41265\n78662 95339\n12879 60094\n14154 31361\n2274 15364\n37128 42101\n83219 99102\n4178 44134\n6527 23139\n24508 58047\n14740 81919\n60901 67733\n13641 55364\n24050 71501\n7903 38964\n56623 78823\n250 14719\n20926 31110\n1162 94365\n3184 55601\n39145 73556\n34193 60710\n37659 38012\n47755 71441\n11835 86296\n33055 46771\n10681 48737\n17215 60283\n3076 78563\n43720 62708\n39520 46128\n12973 55272\n36076 47893\n44772 89739\n70400 73768\n33714 56600\n78959 86504\n30933 85861\n36489 79775\n37868 71535\n30373 41261\n13392 85011\n43896 71150\n11913 98594\n45028 84082\n49676 99599\n25375 57563\n32008 34347\n27646 55855\n55491 77190\n75626 99995\n39596 98037\n16986 69856\n28812 94496\n65021 99582\n8744 21645\n56368 89318\n8865 63511\n4315 8585\n23862 46397\n26285 59297\n26629 40050\n42827 54529\n45737 46108\n404 44671\n565 55805\n17674 74396\n43826 71940\n38630 80724\n47178 48539\n47805 74683\n43744 74011\n39695 61593\n50115 99216\n59314 79570\n59067 83689\n57858 73802\n18662 58839\n74017 97497\n34857 39349\n26004 51575\n8512 53293\n6261 93795\n11003 33345\n19504 25048\n22733 28751\n36657 64141\n50293 81846\n72216 91624\n51571 62036\n61223 98049\n24811 40553\n65455 75405\n52054 87344\n22089 68467\n85271 95235\n44945 80217\n51144 87422\n31184 57878\n28220 85444\n59094 95280\n61652 95382\n48555 76668\n26457 67129\n43827 72346\n12587 74607\n16460 76232\n16473 35760\n4018 14948\n32851 82226\n15927 46859\n19872 88616\n21135 70064\n32423 51099\n26295 69078\n75825 81726\n42928 75069\n68535 89641\n5990 85993\n32018 45334\n26926 49629\n32724 74716\n11574 87722\n5022 91097\n50842 88969\n63432 89539\n37992 46998\n23726 62545\n68822 84319\n23193 97648\n23423 65209\n5395 73666\n2967 22857\n20283 51902\n45051 66450\n16539 57134\n67237 85487\n7386 80598\n34238 88242\n21154 67811\n23337 24885\n35351 68548\n55855 67484\n4041 36586\n49770 65813\n24278 76233\n17345 25578\n4424 65253\n40762 61303\n1824 93854\n15865 42012\n27264 96303\n2316 65595\n12399 26578\n276 90843\n758 63326\n39181 89158\n85890 94172\n37399 55916\n88927 91446\n32733 37081\n25764 28823\n36614 67571\n14415 65575\n16256 55985\n5893 78106\n15765 28141\n67138 76911\n34886 40368\n13702 31572\n32379 33542\n49743 75494\n69682 90933\n19653 33225\n37440 62957\n14129 47816\n13100 59334\n11237 26467\n4123 16574\n14004 91398\n86153 88885\n1815 63124\n1188 6071\n68071 86201\n77071 99082\n15773 88444\n43143 70989\n1436 49260\n46167 92593\n47730 92049\n47095 92026\n67300 93899\n28959 53577\n76459 84866\n30948 49086\n45973 90055\n27977 63798\n32897 46237\n12729 46083\n248 63105\n89007 94256\n26236 40884\n9730 57920\n28337 97552\n9383 55588\n19530 34059\n32227 53248\n29167 53061\n35490 80665\n24864 74844\n8557 69086\n93343 94621\n38641 75379\n78979 95562\n3220 84944\n40386 49031\n18466 90790\n20625 73434\n57577 97841\n2681 5570\n55370 62459\n17946 79963\n17056 37305\n33447 83152\n31613 91898\n5389 36244\n18988 88216\n7186 69603\n46977 87793\n28486 60060\n1475 46041\n74410 78423\n22264 63935\n236 52900\n77016 78431\n24020 86174\n34442 91547\n11880 80193\n56649 71957\n43420 83524\n15670 53192\n38535 63667\n7115 72282\n33622 40300\n18720 43794\n10435 90779\n25506 94117\n27795 46307\n35640 77832\n24875 94371\n27500 54187\n94321 97325\n48758 75493\n51543 97661\n80603 94152\n52898 85094\n34506 71265\n20350 91582\n21975 96434\n29911 37919\n65654 99994\n29129 78094\n10826 17651\n44570 79579\n24212 24470\n32732 81448\n34579 54664\n17546 96123\n94103 95380\n47826 60295\n17042 74854\n80240 88161\n25646 28210\n6325 89429\n82315 94075\n48881 67849\n25334 92615\n5177 38293\n58368 98124\n45928 93724\n59442 73546\n49729 82778\n45141 67791\n15950 88339\n32847 71710\n16503 59182\n4370 42966\n76579 82596\n26065 41492\n63153 84882\n16670 41703\n68263 81861\n14378 71233\n9085 84210\n9503 21492\n15731 27493\n31973 35076\n18663 93732\n9648 32058\n6841 69477\n21195 31400\n81896 90825\n19732 29071\n10866 65382\n47023 47459\n19159 85056\n50380 76637\n18248 93951\n39547 82193\n53725 75733\n26499 48192\n328 70345\n9192 30252\n1121 66604\n73966 76982\n36462 75700\n1799 87149\n8329 31830\n2577 57042\n3536 10409\n32324 36117\n45295 80087\n10201 11669\n42269 53606\n10765 40172\n64270 86124\n83691 95317\n38583 57178\n54688 62168\n8971 51940\n49960 65681\n22196 86261\n42236 98947\n61272 90552\n2609 46124\n50035 95219\n29849 83565\n19092 92387\n88059 95217\n12927 30545\n32783 89275\n15769 52228\n23287 44641\n11745 57120\n35726 74444\n36404 73870\n18036 90652\n1614 87277\n16185 47729\n63453 96820\n43186 49080\n24666 66842\n9634 32224\n89316 96432\n33348 53073\n23442 76935\n17064 30406\n26089 55112\n24106 31361\n62183 70775\n67712 68610\n27272 84083\n13268 42640\n12454 81650\n32874 67763\n71585 95820\n84966 97621\n9047 71570\n45863 83784\n71578 75356\n47495 86081\n51439 86828\n51263 97934\n51685 93369\n14997 26933\n5634 7536\n48748 82871\n54794 57257\n58758 59170\n12536 71398\n9307 74809\n57328 76019\n2035 87125\n63876 70986\n57282 97827\n12383 69004\n55336 70774\n81489 92851\n9114 60710\n20769 75494\n9553 12369\n24294 68142\n71415 83243\n31279 31968\n6649 45298\n46577 81631\n3327 4108\n49169 87602\n14480 68670\n41963 55327\n69296 81146\n64723 67150\n5442 15571\n3104 84339\n34661 95672\n58883 91801\n13612 61410\n3124 40222\n3617 64207\n59266 96103\n32628 73717\n24781 49472\n1459 95613\n2602 16678\n61108 86267\n32194 39593\n13277 73802\n4833 25149\n34159 50896\n12319 71004\n26466 53729\n56658 87118\n41653 80857\n45397 91736\n36257 36766\n15047 33160\n56804 71617\n7411 77090\n29176 61620\n61242 79248\n37412 66527\n70217 93916\n40989 54347\n7518 27671\n57077 65105\n12291 96072\n12297 57469\n19761 95766\n44862 68627\n42958 55734\n18387 95311\n31038 31141\n42788 46834\n19627 57570\n21115 32377\n55445 82589\n51272 55608\n4099 12359\n33698 48052\n56806 80276\n7965 15951\n42076 76685\n23728 96781\n69053 92083\n47478 79335\n82834 89080\n42435 71668\n34664 58375\n23913 86061\n42523 62093\n38030 95407\n23313 28409\n41140 98768\n1814 65458\n4114 26510\n20708 70029\n36915 85440\n22969 25790\n37911 93811\n184 97118\n62909 88141\n52812 58045\n59515 99879\n23745 67320\n44060 49246\n72710 73466\n35847 93147\n49944 56645\n36706 94865\n52230 67067\n60856 71391\n69313 81510\n37515 62116\n75291 82178\n75910 82675\n18644 30153\n83919 89757\n11469 58850\n26189 46131\n77077 92277\n34363 51544\n6275 92479\n55190 55805\n44991 57521\n25741 85075\n36168 73953\n9170 77568\n47410 58498\n53191 75045\n39618 74588\n15015 83024\n64391 71022\n46496 82996\n5545 12952\n21989 22488\n15235 22677\n11560 14963\n41114 88150\n35214 44145\n70465 98414\n44552 46801\n11079 75711\n58830 77828\n44371 72920\n16079 44253\n12372 57532\n43320 52282\n58246 62108\n16504 79273\n77926 77973\n69886 93372\n46103 98933\n66354 72245\n8679 49542\n10837 85163\n71710 80723\n60919 87783\n40898 74260\n29724 44966\n22353 51140\n13915 98579\n5940 8157\n57818 92718\n25968 35618\n58004 71069\n27022 29697\n779 72394\n19439 71289\n38071 94555\n44874 98994\n76443 93598\n63975 67673\n19306 35353\n31519 46967\n58048 58205\n90655 99759\n55026 97739\n41199 81085\n1087 65662\n18943 44067\n96 21414\n1441 98964\n20908 83129\n36305 96616\n29705 41286\n38075 60643\n46381 75879\n20432 64602\n7173 59232\n41292 96697\n16912 78592\n61562 91565\n45441 98332\n32155 62852\n47916 54785\n37046 38070\n10643 78260\n32784 65731\n32607 74967\n24358 50878\n67285 97543\n13120 87400\n1681 34656\n49229 72024\n1343 16479\n25389 86276\n2966 81315\n7354 25723\n27797 81688\n24462 81015\n61147 66511\n32102 84312\n32519 60276\n9230 51444\n32325 42922\n38207 90463\n41859 54807\n53084 98522\n8043 81888\n59386 80360\n88342 89780\n33743 67216\n36419 85586\n30039 53190\n28407 36967\n13056 35001\n4054 78601\n26840 66044\n20759 53731\n37076 37561\n32619 52436\n50497 72313\n67248 99004\n560 78139\n28209 48821\n53893 60727\n8483 27509\n1786 9699\n13310 40505\n19830 38637\n5945 18705\n16074 86678\n64081 96507\n47922 88614\n55892 68158\n20068 76004\n9572 53268\n60790 68424\n20129 40969\n40855 79760\n67588 97202\n25317 72239\n2585 73664\n48216 72692\n22356 98894\n515 83154\n11816 66064\n6919 7055\n65624 85863\n23664 60210\n10029 11279\n28051 65272\n3426 41696\n20908 74347\n12254 47951\n85856 89657\n15193 46076\n62490 97675\n7745 56263\n13092 27208\n55535 68544\n9943 43314\n3554 61757\n50870 88719\n13888 40101\n75119 89924\n52232 73712\n6632 96915\n40680 44321\n52712 66019\n44276 94690\n17654 27206\n35193 86298\n77745 82988\n2997 58688\n26052 52977\n27914 72941\n93795 94646\n29416 88578\n63687 73690\n11911 25736\n39244 55397\n57518 85833\n7232 24400\n66359 80851\n6636 93266\n74997 79352\n24004 51721\n3953 91174\n53987 88095\n7307 43617\n35275 67267\n5254 21771\n40821 48573\n23641 59810\n41059 53018\n19649 99901\n66496 74650\n33649 84312\n7639 63287\n92 29691\n40086 45530\n1040 28791\n22823 51771\n73235 97171\n56332 63945\n51976 69770\n38416 94123\n72878 74790\n17204 70574\n55405 65128\n4769 35180\n77497 90388\n10489 79386\n13810 41908\n54159 70004\n33991 93030\n5227 50666\n16424 18747\n8283 27445\n45041 77943\n34414 68061\n782 56230\n7571 38052\n7696 79637\n27027 83067\n76216 92221\n10094 68625\n71527 84499\n69291 75242\n4160 20449\n43869 47497\n48124 66267\n44865 55481\n55526 62647\n24399 41933\n15747 56711\n18742 30974\n11599 74810\n18878 60500\n22247 25245\n21883 71116\n11165 96315\n47442 71720\n27073 29768\n27446 96090\n11105 63784\n54222 76908\n47269 79418\n15080 84960\n40033 80842\n36599 45003\n19220 90685\n87550 88625\n4555 90106\n29710 77730\n24941 81835\n18372 39003\n36447 50618\n21966 40253\n20238 61716\n99538 99910\n13052 46814\n40327 63635\n14660 71728\n41549 60413\n58569 88137\n67423 68488\n17619 25451\n1979 10414\n93263 96063\n53041 95373\n53323 92522\n37577 86315\n6828 59162\n61605 81660\n6642 20220\n66631 74492\n11307 53469\n79810 84805\n29459 76908\n82290 97244\n45756 61303\n34166 89225\n74046 95799\n57319 70240\n8179 83800\n58789 58830\n68324 91969\n68563 83391\n2175 79274\n76423 81083\n7313 20748\n58648 84033\n69846 94192\n27935 97575\n11275 63078\n12788 38701\n3222 59131\n1189 44608\n56120 84157\n59224 69976\n9169 89931\n55608 90154\n7299 8628\n38049 46169\n2253 76079\n49163 67058\n1864 47408\n57625 64493\n27054 40740\n70485 78106\n8390 84605\n277 39395\n47336 47663\n8635 90010\n10006 94094\n26642 74631\n36963 84705\n31013 55374\n74140 93856\n16381 48917\n38941 54738\n29110 40035\n7439 97477\n74186 89258\n3805 28632\n32011 54680\n54652 67289\n13728 70379\n52041 75532\n34744 37688\n15678 23445\n17532 71468\n12075 18805\n57464 80194\n66865 83827\n50554 84009\n64480 76270\n28564 92064\n34719 39054\n54102 55751\n59602 81416\n48444 51411\n30008 72961\n21231 78692\n878 67286\n2223 20103\n33743 87367\n1833 77524\n11883 17805\n6440 22518\n14798 96414\n6479 70407\n3943 5672\n69429 86886\n68630 81249\n24095 84183\n1782 28071\n76450 92540\n1794 90731\n21455 23059\n31995 47209\n17347 40261\n24670 27778\n65905 93806\n38068 61126\n13346 81202\n76224 96686\n2218 85196\n5368 86340\n42789 92201\n35038 97902\n20367 86535\n82003 90102\n46578 95635\n32814 45140\n43163 92344\n23989 67186\n31303 88904\n30579 39488\n33854 71617\n21524 68830\n27264 37782\n16894 82006\n3103 81184\n31354 47315\n79338 98787\n32386 57762\n1258 30357\n10860 18184\n23780 77054\n80183 96257\n62991 97569\n21907 43047\n82455 91528\n28329 43672\n38336 57868\n33305 78173\n37727 69683\n35657 85294\n13826 30468\n35058 97163\n57225 97808\n25650 91638\n42434 75115\n19192 91894\n60500 61560\n19199 64346\n56175 90106\n47327 53390\n70617 82981\n25138 69117\n18203 87365\n2208 77823\n11563 31615\n42995 88507\n34490 65929\n64431 74072\n39164 59370\n35582 63200\n5547 38563\n20831 73780\n23032 41345\n36789 56660\n12624 20123\n6272 52859\n16485 33400\n58256 70242\n42440 72327\n44899 70623\n20623 88825\n68602 99207\n50752 67569\n3754 57275\n10458 94978\n58985 75192\n7426 65114\n81393 85893\n13109 83134\n2686 47431\n11296 32157\n34855 69201\n16797 92448\n8674 51891\n2462 56882\n52587 80345\n31125 85306\n6201 37560\n71634 93603\n10857 28368\n7650 62347\n14343 86545\n17393 93158\n49083 74224\n12701 88658\n52381 61215\n48848 93609\n29983 60395\n9633 71846\n15589 63563\n19213 31812\n74145 79968\n19629 69017\n62168 77294\n14985 20868\n58960 70047\n45321 81313\n12490 31736\n41361 46212\n65273 94842\n6376 69596\n45274 49601\n25315 29620\n38430 47200\n7491 14217\n4502 18687\n41637 97523\n31129 92636\n64043 74083\n8949 87628\n32315 93005\n23249 35780\n5673 83183\n17731 24989\n4681 89772\n4270 58582\n37844 96408\n48064 69223\n37207 74114\n7899 67547\n27 95163\n17881 88573\n27599 40621\n16049 88166\n67266 73507\n33315 72718\n28925 58872\n26620 30433\n9832 14637\n16890 47450\n77909 97238\n64023 85877\n3015 52257\n41287 57223\n32906 85650\n58925 71912\n20635 48097\n22171 59031\n60598 94367\n62655 82028\n25764 46918\n22089 59318\n77135 97835\n68464 87335\n10646 54495\n33844 41130\n62296 99088\n32556 86608\n1574 70147\n45406 95906\n15059 73500\n20782 49114\n42057 43639\n27082 81119\n4762 75817\n42878 87605\n1869 70539\n12804 19165\n22908 62437\n4095 81448\n9101 26762\n30183 69150\n74889 83134\n16699 87098\n25398 97680\n34988 37679\n97355 99250\n9854 65607\n59691 65037\n40210 52375\n23112 89503\n33030 49970\n44986 54887\n48968 52578\n23813 90096\n88455 94600\n31916 44223\n849 23922\n26596 60746\n35892 81137\n3552 20054\n38295 58004\n12215 19614\n15797 80745\n40195 57034\n27316 56615\n18744 82042\n35973 73025\n24599 57722\n811 36152\n93978 98110\n6616 75489\n32108 36408\n24571 37110\n38067 66164\n19228 84225\n27121 72324\n78418 97956\n73703 95190\n11834 71059\n29141 97792\n28895 96324\n61155 67061\n18892 50504\n65845 81248\n70379 92084\n713 74966\n5574 21253\n46277 67050\n30038 58911\n41052 51891\n3969 93645\n60983 95885\n29273 50191\n72713 99702\n7669 87908\n34441 36521\n46088 76086\n12946 97827\n28081 42043\n2542 78094\n27342 32654\n80331 96468\n420 86371\n5834 40548\n60079 87436\n30396 35206\n28593 49861\n2081 11996\n44699 69544\n66019 73902\n73210 99759\n470 98706\n11712 56302\n37916 82464\n13289 86913\n78552 98703\n32311 76425\n23986 48731\n32179 35025\n28338 41301\n22845 64470\n7485 44949\n73181 79493\n40780 99490\n32490 34897\n81602 85097\n28904 99404\n87313 90310\n56181 74300\n44379 72143\n18932 74087\n63492 74090\n6840 64448\n2796 3313\n4479 5897\n66128 67758\n72611 85536\n49785 70679\n34732 96929\n6176 48059\n46494 63887\n8858 12483\n30960 51832\n24786 59388\n423 64514\n15325 88025\n28762 40316\n2636 54253\n39778 76309\n76657 77900\n46171 76875\n13709 97805\n63200 79727\n11405 47823\n14776 65358\n39211 82984\n65146 68173\n6515 8642\n62223 97355\n8118 73302\n3566 21919\n60243 99934\n51486 77319\n78030 80490\n71179 73838\n44187 76984\n10365 86642\n30026 66138\n13862 17398\n15264 77942\n37245 45929\n12999 74312\n16959 86744\n36922 78688\n43034 63041\n11131 35766\n81531 91907\n8398 20889\n84882 87171\n21777 98020\n16017 99214\n64854 96029\n20675 93902\n38099 98534\n59253 76771\n50744 81339\n66231 97683\n17972 95722\n73721 85495\n84052 87094\n26998 39168\n61864 94550\n1386 53362\n5669 48519\n20979 79465\n10861 43752\n1448 25675\n14162 27032\n81585 88210\n1171 54186\n10190 93270\n10001 42251\n15003 67713\n36839 87654\n1862 43948\n15847 36398\n77509 82446\n35079 57329\n54092 77568\n13139 65890\n10253 81388\n34629 74107\n42161 60544\n48808 94523\n22157 25395\n34623 37366\n13890 35521\n934 63888\n29412 47197\n66011 92059\n90688 99023\n24120 54889\n11666 73249\n67132 96574\n38139 92743\n23546 69080\n841 4969\n4729 43614\n42125 58727\n24898 54414\n55647 77015\n52120 66878\n38121 83171\n55932 97231\n11868 35164\n6389 37969\n37119 88993\n34470 88782\n65833 86315\n43729 82090\n44681 66093\n44955 69079\n65567 67684\n82757 92729\n48383 57508\n29631 35540\n71461 93024\n3230 9034\n14086 29476\n9636 62266\n31443 46146\n34292 92325\n11392 57628\n2326 62559\n10360 28534\n5742 74747\n2672 71083\n45346 88703\n33961 73195\n2262 9175\n52587 77924\n25173 86651\n18884 49894\n62164 82748\n11193 84361\n16963 59769\n3895 65130\n33420 68456\n60623 92208\n9320 62542\n4835 24254\n79347 83843\n24391 53469\n77430 80604\n70574 88814\n47545 66545\n37804 59970\n14641 34291\n20119 96868\n32003 46402\n48230 98680\n25365 28558\n1817 55822\n361 35350\n29632 31865\n12894 22992\n38137 78549\n50918 53514\n40489 93753\n37180 52352\n48016 88983\n30537 44595\n41134 79162\n14647 72592\n29 92998\n35093 83682\n2379 78342\n15230 73124\n6708 59194\n62979 63113\n10350 84167\n26294 50701\n2501 3015\n6421 74065\n20303 47168\n17193 42261\n1095 6883\n18472 46380\n28284 95913\n34944 67473\n11021 28912\n34331 89826\n16859 35400\n73214 81116\n61477 86463\n47479 79942\n64868 93115\n62726 80821\n37332 97950\n33411 52721\n12698 98682\n9622 96314\n12941 73767\n8253 69733\n17172 70659\n11242 46573\n66062 66091\n66449 68124\n38570 49581\n41406 62454\n55753 87622\n2266 40935\n42793 53034\n5378 96255\n48775 58086\n42037 57595\n21187 95319\n21509 87514\n8330 51322\n38036 59268\n72799 74210\n29353 69074\n65184 93107\n45486 96835\n35416 67134\n42886 71162\n11578 80974\n32951 91310\n69773 92601\n8700 76865\n42751 66408\n664 49953\n422 81036\n25195 86330\n38818 46181\n33362 98133\n28229 88772\n14216 59739\n5860 8898\n72165 75334\n27334 61713\n696 22853\n50041 62083\n12035 22387\n12826 91698\n10299 64841\n40418 69857\n89047 98080\n50084 67229\n37485 64516\n76709 79850\n3688 13798\n2440 59078\n15921 61460\n30004 73758\n19020 56488\n34035 52238\n1159 22843\n17057 90474\n53278 88576\n31547 41790\n9917 84037\n27169 95586\n45845 46450\n33840 58613\n32738 59198\n34693 45126\n1891 41383\n31351 48568\n40943 92656\n54804 55078\n45837 54349\n30574 38081\n15861 87675\n45440 83415\n20220 68365\n40821 94080\n7163 18729\n19750 67055\n47693 82362\n62267 76837\n61532 73553\n19654 95325\n12313 64178\n3763 15717\n30902 86299\n58512 74895\n80773 82738\n10791 39394\n72207 97935\n24199 54225\n1906 28952\n3846 8158\n32266 74391\n32258 84446\n24288 88778\n57555 62380\n56760 57987\n23727 57956\n33290 71041\n24344 89075\n71420 78689\n79516 88323\n23424 47859\n33527 34409\n22465 71703\n54582 78663\n29953 94677\n3810 62675\n62406 84281\n15285 92879\n9433 80446\n2775 46683\n11294 55335\n40287 82840\n21387 91598\n49591 60484\n10432 65813\n44029 44979\n28926 84546\n22130 90257\n42238 85417\n5940 75060\n8239 58880\n61818 93615\n33229 64220\n40446 96129\n10257 88276\n40870 62979\n7483 96327\n29765 30796\n45931 50256\n63072 67725\n9119 65343\n31355 49504\n20412 31620\n36765 87264\n94660 99676\n22613 68994\n77229 84018\n11137 20339\n11274 68317\n35352 41461\n74298 90057\n58422 75367\n46563 53742\n25059 38464\n85134 89842\n6831 22507\n12411 33503\n25701 86949\n1158 54108\n67458 91576\n34280 80687\n23177 30995\n8571 26227\n8555 81000\n61154 96564\n50030 95868\n748 90680\n53296 54608\n5838 62530\n36589 42703\n57503 98560\n33338 84414\n16996 21449\n14363 27675\n55812 83969\n24528 77153\n42032 48796\n36002 48788\n38153 75072\n91838 94828\n62775 78165\n8623 16764\n28759 52326\n41959 57244\n56378 87488\n66782 79317\n11153 81658\n63088 65525\n31730 77998\n75757 96086\n5670 21182\n13217 46664\n3260 85100\n63889 78387\n18478 31338\n42081 85729\n16137 76490\n40660 99323\n45613 67538\n21440 51628\n16858 70507\n6470 63315\n3316 40308\n13220 17785\n41072 98273\n66421 73110\n70358 92111\n9996 28915\n29916 92430\n37579 52213\n58866 64115\n11943 83599\n18799 69904\n10220 93905\n29659 75177\n23227 62682\n1004 18955\n4375 47031\n60 39068\n12048 52674\n87908 91814\n48691 61090\n60958 76089\n3878 71023\n58841 85134\n52742 96589\n37344 97656\n56030 66086\n76628 83065\n546 81025\n6535 25194\n23353 89032\n35941 79230\n89247 97686\n5546 28227\n52489 81387\n813 35616\n82871 84798\n12973 86517\n2782 19320\n3164 71375\n13557 76799\n78240 92957\n7941 26366\n28371 86139\n82956 97926\n34399 77578\n3381 33311\n55758 66728\n4635 13683\n5480 49037\n1675 98289\n4240 6788\n15384 21761\n69173 87658\n12433 12590\n29744 72865\n49883 70936\n45667 79264\n63294 63722\n60806 62794\n61957 88851\n35195 67709\n23024 85657\n11166 80683\n9654 60568\n1238 2596\n48557 98025\n28425 92418\n26279 76742\n27099 43500\n36989 92861\n18357 94422\n9003 39621\n43416 67672\n4996 58312\n73044 77908\n3075 55026\n40976 43207\n21224 60050\n24557 60618\n22749 34692\n52757 62302\n18188 78866\n71828 73696\n81143 92708\n79008 94148\n36076 61655\n52327 82592\n36055 53925\n93387 96330\n28093 44704\n19662 57990\n73402 94089\n26062 70082\n55583 83383\n30529 49935\n28519 29445\n10612 57708\n42107 89605\n11406 96164\n13675 27978\n14861 90134\n19373 61571\n65039 92202\n40812 63624\n8094 67060\n33255 68573\n1544 78414\n29364 60873\n76919 97521\n40231 60033\n47884 64320\n56742 63795\n48605 91610\n15819 38598\n16413 47404\n62169 87721\n45138 78439\n8553 91380\n9179 20927\n2632 59953\n23503 85027\n127 26468\n84836 93877\n71099 78320\n30687 38922\n37295 61556\n55587 86023\n6045 67317\n79033 98285\n49335 87573\n1643 21447\n16932 46002\n5021 61402\n9582 58702\n37520 52075\n50817 72780\n11954 74899\n24694 90358\n55301 67508\n27331 82592\n29886 59402\n39688 67429\n65481 94277\n17808 28669\n32087 66235\n27180 64614\n61642 76117\n74154 87140\n45176 52716\n30534 60585\n17555 40126\n38494 40189\n20987 46868\n30749 55247\n26140 70729\n64851 90724\n19526 57623\n29055 76197\n20889 90649\n79252 81064\n27332 30902\n48699 86574\n33662 46892\n4661 75272\n25122 67175\n41925 77105\n18101 53510\n1518 88538\n12326 48714\n32484 88864\n5506 24659\n9020 72278\n7571 51095\n29870 82557\n7251 11896\n47324 86361\n76253 81146\n61481 81133\n56775 84120\n54425 97732\n24892 37562\n7680 62147\n19169 75225\n28625 46642\n51338 61780\n56275 73301\n11406 82064\n41528 85145\n6142 17762\n6339 78984\n13821 99577\n1698 68691\n47863 72243\n5887 45590\n15477 27100\n38441 83166\n58162 69821\n38773 94130\n6625 91828\n65283 88799\n43962 48564\n7107 47476\n25972 50257\n45278 69624\n29948 70373\n11328 42430\n26683 67065\n7851 93218\n39801 41590\n25089 45786\n48554 56925\n13511 21674\n58190 90973\n20360 97961\n19673 43739\n7607 97792\n55099 97908\n37985 65318\n41225 78715\n33659 34041\n68756 81838\n79504 82236\n61618 74811\n34944 53651\n3355 17196\n22239 24683\n9833 24147\n23431 29829\n4956 91674\n28994 94800\n30251 43687\n58085 77012\n25336 46435\n52950 65601\n33799 63489\n24996 90906\n38822 71190\n475 18172\n51647 89210\n36523 51677\n9655 43994\n50 25109\n17209 43875\n89275 99988\n24138 43343\n4622 16299\n54004 74847\n22326 84207\n17717 35817\n17002 47633\n48036 72314\n35941 47100\n75572 83731\n24136 76317\n1460 87510\n18871 19878\n80187 98335\n45872 60818\n26051 31805\n56793 57161\n18896 64321\n28349 63482\n40128 46779\n8204 15788\n77821 87834\n63308 90659\n5539 63757\n38478 67573\n77785 78306\n50614 63247\n44583 65325\n27206 79957\n48330 88459\n1957 3946\n6154 16651\n14508 49111\n38592 75458\n40713 91822\n4951 81688\n4786 92198\n50500 51252\n21354 25044\n700 55078\n38212 52952\n23510 45949\n52410 59199\n19041 65453\n70963 71968\n24573 95281\n1553 98772\n14667 52456\n58131 68661\n56457 80603\n33692 38859\n7569 74420\n410 48237\n19846 71594\n70847 73062\n3150 37545\n1350 61166\n31010 77420\n35304 44024\n22073 76258\n27914 93859\n3026 85659\n828 73791\n21116 83419\n903 92749\n33793 96073\n2526 77273\n65905 90319\n61265 92108\n70890 82586\n89595 90908\n35652 83802\n59274 80760\n87208 90004\n22524 68495\n10249 28694\n16164 66752\n83322 98924\n23145 78976\n15057 90049\n70537 70710\n35112 51344\n2228 17904\n31601 79737\n675 75815\n78056 85622\n10265 42364\n47122 87979\n15495 90409\n8340 13277\n47270 91358\n79234 97989\n30578 91877\n42012 54091\n14759 33091\n14 96103\n47578 63449\n47931 48719\n35980 42254\n15844 19582\n69541 88676\n67974 93630\n36040 43196\n20596 46254\n34657 43169\n9834 96146\n15102 47831\n34612 71878\n9034 23694\n20459 98639\n11102 58156\n70229 84030\n72995 82828\n35996 81859\n47625 89119\n28921 44054\n24775 72893\n9348 95387\n5653 86010\n40859 54966\n71507 89353\n58443 76223\n34244 38611\n68352 84543\n87204 88676\n14611 30937\n26670 87094\n39616 85914\n70452 86788\n29114 98808\n83876 85746\n29373 91296\n44009 88531\n3667 42378\n35869 76717\n22215 56986\n12810 54406\n48057 54058\n5309 82498\n69962 97789\n19455 59862\n9915 66140\n45867 73955\n91721 95272\n86214 87811\n8821 60187\n39673 79072\n5719 63505\n10576 79154\n20838 85423\n19239 73107\n32437 97052\n16740 85664\n8401 79102\n936 12053\n50500 82224\n27296 68698\n44767 93149\n3502 95096\n91527 96407\n43857 52026\n15090 41661\n24510 74382\n52821 67262\n49139 60626\n58244 96565\n5330 52150\n52450 90984\n7223 70453\n66463 70348\n25676 65181\n8115 59349\n25710 37349\n83726 89120\n3 61751\n41336 95273\n29077 36224\n8609 86309\n54909 59583\n11222 67681\n29152 80680\n28361 55334\n21486 63957\n11389 79117\n21085 62135\n1602 85784\n49118 93346\n14615 67021\n56376 60148\n51243 98452\n86152 99140\n10371 70338\n37227 53942\n26360 48381\n59871 91905\n55038 78094\n854 38690\n53225 96886\n36703 78922\n6388 95141\n29349 88706\n26439 30335\n28123 93758\n63054 95896\n63586 77719\n5125 60363\n25496 87886\n10008 16181\n11146 19424\n3092 26018\n63342 75379\n5696 46694\n30402 38868\n6428 36697\n16777 51882\n27013 85933\n2301 85908\n75700 90650\n16993 69728\n21866 25837\n32348 41837\n19516 54529\n4940 38449\n24984 97372\n1660 25769\n15719 31574\n64777 73537\n85028 98589\n40824 84023\n29015 61554\n42694 86083\n76486 80352\n80816 86071\n33641 74279\n24735 26908\n76697 80516\n56644 96440\n61910 91389\n12131 50165\n54952 78449\n67326 85309\n12988 21347\n41933 57325\n52982 73020\n44822 62219\n7158 42123\n89884 93490\n21788 98178\n34202 35542\n27817 80749\n53924 76911\n20350 50657\n65447 89923\n43260 96822\n59950 71581\n19780 85787\n28101 81235\n29352 35077\n16096 91138\n6464 8587\n43552 70485\n28256 71981\n31016 64658\n56932 78960\n10123 56265\n4694 88101\n55804 65247\n21376 71840\n50722 89264\n13786 42179\n64446 68856\n8490 21720\n9881 65473\n62296 89785\n60278 84956\n591 84470\n14612 97754\n14690 36014\n23953 31367\n32707 73970\n4742 76247\n37796 95926\n41605 91041\n18706 61086\n18573 50997\n58275 77761\n41292 78150\n83709 90959\n12300 38382\n33923 47566\n42690 96748\n29221 64472\n8693 26708\n33907 66133\n28842 45792\n43730 45610\n14952 29731\n33389 75037\n68116 85086\n41034 54221\n44696 93989\n77733 91437\n30349 73657\n30243 91312\n45547 56573\n9234 61236\n50632 58048\n38315 81042\n2158 11108\n4307 31652\n17430 72631\n17305 58054\n4364 10145\n2906 49121\n49208 51456\n28284 37304\n34186 41348\n44467 45719\n9226 62394\n52829 76937\n39226 67401\n12476 52436\n1590 65567\n5925 81629\n56280 81340\n33735 45759\n39446 44475\n44903 84522\n2636 23450\n3090 54423\n20977 67421\n54967 89095\n7857 86128\n17533 91860\n85455 98467\n12169 89106\n40016 66716\n51387 59898\n62099 81772\n53541 78602\n65462 67481\n2503 14803\n6375 52946\n39856 59546\n18504 24106\n43204 55828\n4776 94882\n7041 42264\n26866 40264\n31941 55573\n15689 70553\n16522 91508\n58184 62337\n13207 33208\n10704 39210\n19749 97070\n18574 65414\n40987 94428\n3056 76452\n22272 24630\n22016 95667\n5939 24894\n348 62663\n21094 67213\n18561 81809\n74609 92591\n58059 72420\n38758 85518\n28824 91931\n23453 38936\n87422 97169\n55074 56286\n58822 95973\n69984 98851\n2730 94914\n41436 64981\n2957 63281\n7668 72126\n21112 90381\n5702 7908\n67438 80822\n67035 78919\n60463 62112\n5475 55461\n19993 41964\n2127 77699\n60188 79184\n36681 99870\n8090 15332\n45054 61675\n41470 58011\n20546 66292\n32936 71242\n22806 23577\n5441 34423\n52759 94711\n80690 82101\n3973 34450\n11724 56509\n11951 96980\n42407 68232\n15132 69378\n50570 70550\n96282 96889\n47860 98569\n23598 37325\n15741 55657\n8352 33526\n47227 80609\n27638 83245\n32930 56571\n24830 39717\n18713 52236\n23755 25803\n2888 68115\n75760 90311\n15149 62803\n11694 21608\n6042 33857\n56672 84549\n77556 98999\n73582 76393\n31390 64082\n12673 41345\n19427 85978\n19844 54671\n16654 31863\n12985 61244\n46334 97034\n28034 93433\n34160 62567\n75376 90392\n43853 98621\n17096 54586\n24008 37206\n9005 28949\n66771 80603\n66541 75656\n23122 88765\n1331 91540\n19510 42768\n8555 67589\n30316 33184\n41676 54210\n59309 61417\n18065 99117\n50072 54438\n28277 60608\n43996 46720\n1367 27019\n31079 34271\n7490 70019\n56065 91454\n610 82956\n39652 84948\n71852 84224\n60111 72389\n20227 51512\n40109 76080\n36957 99732\n18483 26467\n15728 17141\n25478 44453\n675 92458\n53537 98659\n39759 60576\n27711 71167\n44388 44921\n19241 53097\n1605 68169\n2157 88971\n30679 61787\n17520 21854\n21669 54205\n49064 80504\n53963 96154\n34721 54307\n1142 62724\n18489 87997\n13181 42263\n30523 59420\n80298 80924\n35205 37245\n87074 92253\n21651 84602\n2218 33486\n8575 98454\n41519 67686\n57595 76542\n73917 94369\n3708 90683\n53646 74747\n1615 83262\n17101 32025\n5682 43046\n41508 45965\n35071 37226\n25773 39435\n23321 70220\n38737 75352\n8799 54175\n20484 63681\n43160 88421\n14149 84857\n36452 59657\n36007 48622\n64625 92148\n84128 88099\n17327 20919\n62095 91368\n42927 46385\n21143 86113\n56790 96783\n2 40827\n31514 51377\n20679 58097\n16179 98672\n26416 59597\n22659 73654\n46077 57648\n32497 80284\n44062 91513\n18322 63892\n18733 97338\n19532 20558\n32520 63791\n32032 89678\n24647 96601\n65850 85203\n45041 56420\n10356 78105\n58685 86978\n31929 78597\n67627 96129\n24444 50764\n3422 68278\n4568 50599\n2751 5475\n70904 88439\n39092 45481\n64485 80917\n32948 97851\n7070 99120\n40559 80606\n58687 62278\n95959 97895\n11040 77748\n45337 76881\n84085 86823\n36231 51458\n47420 98223\n245 98965\n35534 74976\n86944 96083\n66158 93158\n49326 71207\n16920 84457\n2530 94820\n42099 89114\n6570 86211\n30504 83413\n16333 76551\n46350 93812\n33129 93523\n14322 88378\n14967 60947\n50648 70200\n19984 83501\n60677 68150\n47199 56262\n7773 20706\n4553 82966\n35154 42330\n9585 52976\n59150 78238\n64776 72953\n32253 69185\n7035 96631\n28982 37528\n42235 99886\n10888 50263\n24406 44452\n25204 87359\n53502 78634\n25521 26654\n25247 65268\n74179 77615\n6490 14293\n81670 86163\n23782 25422\n28445 68595\n60364 71915\n48068 72069\n54005 77719\n21070 58676\n26700 51248\n82003 89666\n72622 72914\n12286 71291\n85318 93109\n22409 91439\n81286 94643\n8556 90704\n10011 51472\n20535 87564\n7782 18443\n67433 71465\n2698 68415\n46201 79653\n69231 70367\n84964 89524\n45445 62351\n14624 63395\n37115 76088\n64852 68632\n31920 63270\n19589 97239\n18877 33556\n11516 80041\n6619 22256\n11322 23228\n63947 68356\n7903 28275\n1746 30779\n47388 83963\n31131 33236\n24290 88228\n38093 81386\n15736 77099\n15198 16369\n65410 99741\n95810 96117\n25692 99159\n69686 89196\n29325 68449\n31667 58108\n35503 35976\n14451 53731\n122 11565\n46689 80737\n7281 11755\n46979 88402\n27403 89931\n46532 77405\n52829 91718\n9507 49021\n9811 34683\n54690 99389\n15531 56841\n16255 73148\n60426 72520\n1974 87965\n5710 16308\n9671 12476\n5125 27622\n17226 69908\n69589 95651\n42087 52638\n23301 80301\n67093 76278\n9471 16680\n79981 99885\n35972 44608\n7213 45960\n50719 61588\n26377 67022\n27141 42875\n23547 81927\n40864 71924\n24592 81136\n6853 20457\n45018 63189\n69129 99773\n41454 55053\n26998 96304\n33705 38273\n2360 28195\n5391 70858\n69570 96730\n24429 35122\n24364 78027\n71616 89151\n61355 83502\n24403 56321\n56772 95297\n22463 88051\n41208 91378\n74716 89862\n12809 83811\n9759 67584\n57503 62459\n42381 63684\n30271 41646\n3817 30182\n9275 60814\n40711 52688\n12065 17107\n608 8929\n10471 80023\n51034 67656\n29141 68403\n34306 94068\n16773 35439\n3778 75500\n35038 96598\n18417 93016\n83678 95727\n26836 43025\n70679 89845\n43150 86882\n14073 85399\n40686 64956\n7977 57212\n60180 70311\n56598 76584\n31750 41514\n11645 55704\n549 72357\n47052 81700\n38121 79811\n65474 78759\n5029 95862\n16750 62929\n44268 76122\n27482 59469\n13345 96089\n35930 70780\n16637 30606\n31474 77355\n9897 92989\n79148 80521\n33978 91461\n3049 79315\n5217 79657\n1842 16299\n37289 83150\n66983 67249\n52156 93878\n12211 14308\n5040 86928\n52355 86549\n18041 74203\n12433 20079\n32967 51866\n662 46572\n73165 97958\n65266 93570\n26114 33705\n19229 94195\n54828 83485\n42886 66794\n18420 35555\n25255 65561\n28921 47103\n19028 53050\n66814 87805\n61633 71976\n42204 83818\n61011 73041\n35349 98099\n17338 74820\n32793 92388\n8789 79541\n37444 81322\n2103 48353\n64812 65214\n45287 48835\n57398 71307\n19436 59151\n87625 94545\n27106 36702\n86297 90832\n57473 92873\n25981 41068\n53332 93893\n8857 38416\n10420 11638\n44766 53626\n61154 76641\n1884 35407\n36218 48060\n43033 96223\n82439 87627\n71731 76930\n15156 83255\n20717 37980\n73324 88944\n30384 93750\n74745 86990\n25956 96972\n7482 90407\n68866 94457\n81985 94835\n5641 56677\n55391 66555\n61321 73235\n29172 68180\n33820 42244\n42659 80176\n40260 86960\n1172 66266\n71253 79943\n8567 90105\n10049 53840\n49130 63746\n90445 97460\n5332 62667\n12117 72438\n34989 51068\n25247 53077\n4959 37262\n39898 95364\n11849 50903\n14308 98867\n7354 83335\n23349 85779\n32965 62984\n82384 89124\n20659 66889\n45836 76109\n31782 57907\n66498 73618\n60703 88148\n84934 88340\n23629 79487\n25956 96958\n12405 63185\n63185 79580\n14317 32111\n23937 49132\n73366 87858\n15522 78471\n16209 26766\n2358 70878\n55132 55931\n7480 22467\n10031 72100\n4952 97463\n40981 45903\n15167 83087\n8647 13913\n643 45785\n1057 63652\n44074 56991\n55263 92979\n16869 78176\n67279 88304\n24142 36556\n26915 50994\n20893 73714\n36692 93007\n47179 58313\n4712 20831\n53385 83634\n15020 85175\n1975 60479\n76966 83715\n33481 75985\n22059 75690\n28057 75512\n88371 88999\n53446 72915\n42769 73537\n61164 95627\n49084 93876\n47610 85401\n167 29620\n20265 93419\n4593 70391\n38778 38967\n6509 64690\n12242 73262\n84584 86349\n62852 68369\n24122 86412\n12905 61874\n15616 96869\n19344 61949\n15823 92243\n77895 78568\n87263 88614\n46833 71978\n29656 50654\n9065 52991\n65363 95663\n11430 23878\n46283 55376\n7764 7824\n17197 75822\n6995 95670\n20152 69699\n25823 95417\n36086 59134\n2840 40993\n12888 47317\n33274 67480\n48647 84748\n58849 96413\n75425 93571\n4629 39140\n18334 34749\n30204 67503\n2312 5933\n15345 86427\n76615 83179\n14117 45871\n74227 77693\n8986 89068\n26 53134\n43109 53575\n20889 90102\n65736 95906\n78944 89187\n64119 93893\n7713 55476\n35942 98104\n16610 81592\n21782 25034\n35837 97712\n66033 72498\n1043 84570\n60743 90331\n12646 93098\n33631 80340\n69643 88893\n35843 72246\n35692 66167\n30257 90089\n74066 93190\n4241 45552\n57301 59920\n29551 48718\n65260 71988\n46300 94376\n2399 94612\n15996 48333\n6454 43303\n45437 66494\n41597 57478\n30915 39387\n39646 82458\n36392 44198\n39744 94221\n26800 42569\n44291 88396\n10206 59320\n47447 95070\n42192 79458\n68759 91693\n29356 74001\n66740 78914\n63373 82525\n31161 33954\n734 18390\n9786 58569\n23385 27328\n23941 77741\n14267 55974\n74379 80103\n22849 61984\n9610 11202\n470 32804\n26124 41201\n7838 41203\n40960 58083\n42184 99698\n50113 97905\n3659 45664\n16250 44183\n41015 80579\n39460 77751\n61221 85870\n38933 78480\n2074 89433\n68205 70151\n37634 88240\n5411 72111\n34270 48017\n20750 50035\n35475 80669\n13185 94228\n8843 15359\n69487 80342\n36250 65724\n2770 71315\n53405 81674\n7108 90839\n2798 4436\n26400 94714\n37162 59788\n28900 47467\n79545 80677\n62795 85654\n84790 90425\n47990 58020\n25314 79503\n17614 21101\n37599 51430\n56850 62303\n59043 61992\n8859 67899\n32207 57383\n22439 22959\n19339 65758\n58016 83481\n27129 93641\n8376 50564\n23314 66302\n2829 44106\n42411 73636\n53611 74785\n11500 82351\n4102 53618\n26861 65423\n22071 63724\n68902 83836\n22155 99619\n23977 29881\n19348 86931\n46759 93723\n69659 94902\n14331 65482\n77928 87117\n60080 93887\n40670 48258\n1945 99915\n4071 86851\n30989 85532\n40802 63904\n64046 96853\n67090 70728\n6047 28888\n2958 56943\n4556 72823\n55772 83149\n39123 87824\n208 65447\n18517 19907\n15057 59922\n56668 62580\n36156 62596\n6236 8960\n16351 64576\n48623 99179\n281 73657\n58927 73593\n74191 76122\n11105 81133\n93915 94631\n56835 91237\n31902 45760\n30798 47529\n52715 77873\n13786 18343\n17446 19398\n48878 76121\n3599 41197\n2407 75462\n64437 93215\n35461 74151\n17518 19711\n14122 67104\n12490 78891\n61869 69385\n48939 54833\n1924 13285\n58693 91710\n1205 17354\n63333 87984\n15445 36165\n13081 82838\n31482 64580\n57389 68827\n2454 56674\n54394 82968\n19954 30677\n20446 43462\n41286 95184\n18973 57559\n7132 33513\n6224 18834\n150 54902\n58170 85744\n24854 47845\n9467 51286\n58971 80494\n11300 92984\n11933 48650\n22376 68628\n30990 45491\n26184 27753\n25989 42952\n54751 86449\n35482 75102\n37968 60967\n46563 50084\n820 21046\n2429 3258\n35219 82143\n38714 60671\n43934 65234\n37158 53252\n68960 99279\n8461 62860\n13813 65820\n22945 92899\n86369 94973\n71344 90290\n18849 46849\n81802 98735\n22111 78764\n50478 97704\n77800 98735\n25955 80540\n34964 92599\n15671 27958\n65840 70618\n32661 92821\n4429 40492\n12231 13435\n14717 69342\n18423 77042\n18037 81846\n38042 92546\n26571 66671\n34786 81999\n69493 69906\n35354 76353\n34453 85306\n66854 79578\n3919 94336\n6600 38052\n12565 66084\n48366 79364\n40082 69398\n8334 11762\n11756 92087\n26669 42254\n2941 20162\n49021 79882\n55183 62504\n41660 70323\n88215 93690\n12621 89210\n22445 58262\n51174 84008\n11756 51011\n54337 85806\n70801 87459\n42412 49858\n2475 40228\n26096 42135\n24467 48564\n49550 56235\n74919 79657\n21134 35465\n62671 78906\n22975 97464\n52207 64410\n57513 66846\n51949 67167\n91761 95799\n3723 87225\n15074 43347\n9085 36466\n29589 90900\n56846 94852\n28444 37143\n63236 71357\n3685 24966\n38860 53769\n25160 91813\n53040 61881\n72456 90185\n25154 56787\n50782 72995\n68129 86064\n15447 73751\n15714 78616\n17863 78888\n22748 63820\n37763 65940\n18916 97133\n18618 42117\n75603 99684\n63150 80426\n12243 86084\n1037 66816\n15792 57147\n37854 75418\n3034 37073\n20712 76819\n41347 68463\n13629 38137\n4061 93805\n51207 82078\n11125 47558\n44533 56050\n13683 93771\n11995 77052\n11022 15355\n20799 46557\n10491 60037\n17550 57751\n7730 67070\n19194 95855\n43221 98683\n52692 73800\n4693 39286\n34472 62601\n9200 70569\n5863 88481\n41290 95633\n60006 62873\n1527 68473\n6008 60406\n86108 95032\n28030 72204\n18272 65587\n14165 34874\n267 72061\n19856 42238\n656 6258\n37419 38999\n29388 93340\n10480 67828\n62940 81321\n31653 85943\n23268 96348\n6462 79683\n54574 78979\n15873 54507\n18572 87446\n48429 55021\n12035 48727\n21458 32720\n10709 36257\n46213 93831\n20764 32759\n80378 90180\n31858 50188\n58098 89781\n45885 96217\n48879 65797\n4357 56435\n71412 83390\n31470 77301\n8894 54279\n31262 82243\n18753 99464\n39382 42856\n41306 68795\n21945 51414\n1281 92166\n6881 39260\n895 1891\n22061 88246\n47111 67588\n12497 15566\n41814 78444\n32935 43612\n66510 87401\n46637 66258\n90817 90947\n29121 71590\n50527 68119\n18120 47601\n33592 43183\n18251 54346\n15256 33394\n1829 99202\n77563 86596\n28331 87402\n62263 70121\n66681 79007\n3166 46964\n8020 16614\n57452 59956\n54971 99399\n27370 85401\n35904 41765\n14351 69122\n49466 72555\n1415 99585\n9932 87191\n10781 85872\n6746 81919\n69738 84030\n80774 88158\n42760 47805\n35076 81751\n3183 49222\n14065 97582\n63114 77220\n22286 59621\n70532 86259\n78304 81776\n13661 53051\n12011 78678\n11857 32329\n39219 79603\n14969 27566\n14149 85485\n10187 49235\n77335 98513\n41312 86813\n2084 85204\n17301 82661\n56014 87298\n7628 49234\n28423 96454\n77555 80703\n5013 62632\n23945 57927\n75732 83145\n1420 62011\n60016 99888\n11034 50826\n5933 35964\n17013 57294\n32611 84300\n3343 62615\n53582 60151\n16729 29024\n70265 91084\n13615 31731\n9716 81275\n26000 85851\n49940 64694\n17023 77857\n26562 78340\n89211 90086\n30638 75724\n43905 49562\n21696 50423\n17768 20299\n23389 99166\n38656 44722\n2560 61879\n51038 96505\n17937 92042\n58541 87683\n10372 88300\n53787 98717\n25962 74825\n62109 79683\n29037 80038\n43646 61147\n35419 44958\n21849 40932\n21830 85847\n5081 11769\n60638 90718\n14880 61428\n3600 81929\n68552 89848\n6212 96626\n21519 64309\n5675 92548\n19531 70700\n91583 96521\n33109 61957\n2774 89804\n80710 87181\n88791 92171\n10620 87200\n84899 89795\n1604 84060\n31579 84902\n72044 85859\n58295 93175\n62769 86015\n20416 91463\n4847 21139\n33724 34225\n12881 56399\n24507 80457\n19939 96852\n1606 26086\n13909 32922\n32728 42706\n17300 74032\n57727 62705\n10279 26179\n10633 90768\n60680 67985\n14252 91994\n46529 83735\n52819 71100\n45529 89421\n9534 66307\n6962 13162\n51195 80944\n11515 72919\n2601 25215\n47169 63702\n68504 72017\n14265 91317\n15286 67482\n10659 15834\n60420 61126\n11835 49173\n32349 39912\n2928 33702\n51213 65769\n28229 71091\n89606 90162\n40298 96059\n12784 18266\n25981 48223\n64796 64857\n50965 70841\n59994 92556\n68823 90951\n55813 61523\n5638 14218\n39405 74730\n50350 95054\n50891 69528\n80229 98959\n43363 61591\n11502 97203\n14418 42456\n51148 77449\n11176 73839\n9972 25856\n19589 83707\n47854 75940\n21459 69825\n23687 82445\n20258 64054\n66978 94982\n78254 97744\n32103 56635\n34403 37943\n75909 98995\n19505 56262\n39776 92215\n79513 89271\n34057 35255\n59330 80877\n25948 90875\n77502 98675\n52531 80392\n33133 93544\n27148 37945\n45958 64007\n29225 44150\n27960 82920\n13827 64838\n50566 79832\n664 63854\n20315 87672\n25886 31477\n8454 91159\n29178 32471\n51573 65810\n57587 84532\n44934 85366\n13214 56388\n1668 1788\n38111 64569\n63145 72186\n9726 72803\n27763 60453\n628 12312\n26687 27320\n56479 85907\n78528 91356\n2070 89271\n9086 84826\n4078 43241\n7738 28373\n2646 84493\n43104 47582\n45697 66054\n70870 88092\n3417 8769\n17365 37928\n19087 43941\n12015 47175\n10201 20832\n9321 78620\n40908 63107\n4481 68045\n63589 76535\n10725 40940\n41556 81626\n8855 55488\n1159 57686\n11870 61029\n2216 26229\n797 88139\n32847 58760\n77888 97368\n48927 78663\n24260 93428\n17604 26906\n22260 43071\n37253 97612\n44453 46058\n1760 76671\n29550 62888\n60435 76751\n1025 42810\n5558 95019\n51874 79551\n53471 92074\n9200 64090\n28381 62372\n6269 49520\n38179 90791\n39289 40959\n38677 87979\n64298 64950\n37108 67812\n6811 71908\n36069 45843\n18720 31577\n13327 35966\n34379 68713\n6371 58240\n32404 50003\n3879 91072\n52222 73678\n69972 86399\n8689 56993\n5367 78380\n76630 94320\n26330 84973\n22256 32920\n41358 68623\n36179 44798\n24651 63694\n33012 94774\n70781 95517\n59350 64760\n55619 68286\n15675 96809\n4359 40573\n49328 77777\n4712 77294\n54932 75758\n30866 53621\n5861 71221\n55925 61475\n150 87595\n27015 51292\n38767 58504\n52182 85160\n42925 74404\n30789 86777\n14529 23786\n47663 97116\n15594 68031\n5824 13923\n4647 75996\n57870 85959\n58865 70519\n10156 20659\n64439 92713\n14604 97969\n15781 50913\n36113 99509\n992 21696\n38680 50311\n7218 34785\n7912 66144\n12589 70210\n5583 7161\n83324 93213\n10430 54219\n43615 79243\n64733 76976\n61438 89156\n1371 95439\n66830 90112\n42646 81383\n48460 75124\n72814 87022\n44654 71284\n39522 69135\n20681 93288\n8237 98696\n8199 38782\n80684 97511\n26861 83230\n10804 46861\n17001 21868\n7563 72902\n58718 66713\n16866 78813\n6019 91597\n60126 88672\n4697 28128\n32027 71929\n14842 90304\n24428 40275\n5373 26610\n19885 82598\n35135 87456\n17971 57538\n55191 97949\n81990 84549\n28189 56707\n12071 47782\n29693 58778\n54786 81781\n5517 13054\n43426 99358\n37700 70865\n550 89618\n35307 99726\n8992 72046\n41511 89802\n59729 93082\n20058 82043\n6515 9507\n15111 87673\n29965 87317\n87915 95335\n32251 59392\n40413 52502\n22672 62790\n12833 63728\n9748 49101\n36278 90935\n48082 71426\n12165 66645\n27994 89526\n19740 27607\n76292 94368\n32335 59006\n76294 84852\n32408 42298\n4773 15303\n10233 46582\n27787 50073\n56967 86070\n76610 86884\n30252 56923\n79552 98444\n37053 86871\n15742 28591\n29046 38876\n15603 44875\n61514 97513\n35442 89162\n85227 94371\n2490 30025\n21734 45260\n19629 62351\n12680 16621\n13679 86016\n35542 78326\n53690 91236\n21290 77782\n46643 95204\n21307 43556\n9599 13781\n3626 29303\n20483 54485\n32319 51550\n59472 93416\n10350 80006\n27640 49957\n21915 88550\n44046 80721\n66031 67790\n29624 85458\n59747 93281\n11505 45203\n9197 46006\n43905 44855\n16084 71376\n74201 85023\n45793 87317\n27417 97462\n18399 68768\n37222 93901\n23067 29263\n4178 48109\n18203 69534\n32025 47625\n11522 55288\n14047 43257\n44506 48657\n47124 75827\n43491 84107\n7970 77634\n30414 70026\n34695 84056\n33126 46248\n15304 27705\n12047 30810\n25910 69956\n17872 50718\n32513 76172\n3978 16775\n64983 70685\n12530 77857\n30787 64608\n77360 79077\n25356 65567\n98894 99959\n74024 98222\n10001 85294\n25794 86296\n96620 99142\n3223 31740\n5548 83151\n47449 96440\n15045 66260\n9912 93025\n7011 91078\n28848 86767\n88371 94451\n33022 64522\n37020 79103\n44230 74667\n7710 85900\n20603 44030\n72748 89887\n58979 79949\n14023 34029\n14420 37428\n2730 6560\n16894 68472\n69345 81393\n36259 71595\n8654 58662\n204 17696\n6857 15924\n34236 91122\n10149 33539\n14060 64815\n953 24218\n51547 52231\n36089 54701\n56054 73950\n11527 56957\n32303 37453\n24040 76844\n51107 65480\n7412 23544\n22268 51963\n69398 96606\n4451 48127\n55683 72775\n17169 82886\n7101 61988\n13097 17751\n40673 63123\n70204 92726\n9172 76087\n79893 85030\n76694 90401\n17904 88353\n55941 62309\n80864 87452\n49088 78170\n47964 57039\n49685 78865\n41769 77512\n85595 94474\n2504 46084\n16807 48621\n6490 75458\n43821 91657\n2127 55954\n18532 93291\n47279 69166\n85872 89253\n26936 43857\n43702 62759\n5210 58984\n16150 82850\n59591 65200\n14444 43229\n550 70186\n2368 58878\n25885 76798\n31136 70140\n2469 27480\n25527 84612\n27968 37287\n15893 65844\n57999 76073\n72817 93777\n66092 96074\n22153 38189\n15913 93546\n64986 87376\n32598 72740\n49971 89224\n51551 62332\n78139 97109\n10608 15562\n14532 55460\n9196 12758\n4296 6684\n53722 81763\n9755 10668\n17445 23335\n11958 97043\n38070 50067\n45083 87518\n10933 65253\n22106 78061\n61152 82030\n46879 46880\n8827 81599\n3848 23879\n46737 68023\n14605 24559\n5421 83176\n46880 49365\n51709 92799\n21934 36761\n13846 18516\n30094 39195\n3582 28350\n51732 66747\n14031 94357\n16128 67529\n29299 79269\n2573 33155\n61433 98594\n16237 53528\n37040 92292\n77019 80454\n73990 78895\n36587 83702\n38413 81098\n74717 78249\n69230 70272\n34142 45058\n2023 93596\n27662 29331\n35118 69175\n14270 98287\n39798 96468\n6776 34255\n19590 59246\n55637 65197\n12970 28426\n45982 57753\n36665 84139\n52201 86241\n12193 36368\n2542 49547\n30536 57712\n46463 91570\n5661 79952\n59248 83106\n64943 96941\n597 70434\n11221 33565\n44403 71349\n33483 73143\n19250 21125\n21180 85494\n77399 79894\n91469 96732\n7863 8811\n37802 90259\n8291 18716\n33835 42157\n21935 78603\n37060 50509\n65437 98366\n80996 99232\n3468 19724\n28866 43711\n56912 69848\n34199 88568\n30350 57201\n20847 22438\n52853 64525\n22166 56263\n48576 59741\n10376 42931\n45919 66052\n62353 73313\n13501 49933\n9 16181\n19704 68452\n47378 87176\n24499 44856\n30324 33352\n58767 66056\n27865 38299\n20432 83758\n47910 54713\n60252 63315\n8067 13933\n53516 84723\n40775 63576\n49607 95360\n6328 27157\n6887 39214\n18970 80243\n10255 34351\n75522 96795\n64130 77378\n30026 62751\n55306 62799\n13591 54414\n24238 97530\n6068 74316\n35838 64758\n20444 42404\n68581 78176\n7769 35971\n42883 81811\n77035 92151\n3740 5797\n11869 14940\n24063 47848\n776 79163\n59838 64466\n38928 78743\n3466 29721\n28482 41868\n10832 81993\n48885 81437\n20935 33446\n14389 62869\n64022 98681\n35323 39942\n66366 98187\n4368 54749\n56687 95445\n9906 61727\n16016 71451\n92223 95019\n43559 63607\n28360 95361\n1542 68004\n22118 50225\n70092 90661\n63505 87878\n10780 55944\n7017 67379\n26666 32386\n40587 51603\n51551 69710\n8673 34749\n76732 83556\n23502 39652\n47964 66598\n38192 79075\n32934 90173\n60005 64694\n50590 69602\n24390 47835\n19458 55751\n44767 91006\n56810 79310\n87590 94872\n59428 62169\n22957 82922\n2849 84216\n1088 8272\n1266 66058\n64246 71041\n62642 86276\n21393 50582\n39660 65265\n5484 58718\n25766 73703\n27551 96377\n1281 11909\n45731 94737\n22344 71628\n67464 90253\n29483 59689\n48455 96016\n1397 19743\n44323 82189\n77076 85966\n56112 60409\n26269 46769\n14579 68003\n68429 75136\n48558 97721\n74757 88846\n39117 62478\n20830 50743\n19057 74094\n31622 78770\n52705 64552\n3003 47733\n34584 89899\n3042 15899\n61072 66726\n64393 82724\n82134 98481\n15280 54573\n52246 59425\n45037 50507\n4096 76925\n34806 43508\n91591 99039\n3967 42240\n13127 94816\n12316 14616\n4648 53779\n23967 36875\n9219 75300\n11435 90566\n16778 58120\n15402 41028\n552 86009\n19568 79823\n20925 68523\n51339 57067\n17963 48070\n48902 82786\n61631 83980\n26423 71978\n24493 37500\n14506 15445\n48009 97834\n39568 73857\n55505 58599\n27664 65410\n34911 41342\n10571 56539\n22456 97107\n30624 73270\n91100 92132\n54184 95644\n32977 79146\n2729 50910\n37728 95670\n35751 94911\n40952 82935\n2283 68979\n61370 75645\n18860 44666\n202 2936\n1927 37025\n6844 70047\n27041 57062\n22444 43156\n23616 26019\n74162 76854\n5264 55048\n56898 80848\n13851 19493\n12259 90787\n38686 64090\n34572 63404\n6415 70995\n12454 73622\n66844 91768\n19773 73954\n20843 90993\n82281 88461\n15552 78038\n23920 50020\n3238 90619\n44428 50147\n2564 96650\n6799 92633\n202 2261\n61663 98344\n4733 27066\n1661 79473\n27427 61139\n50682 95210\n21663 98656\n8138 52183\n47517 85588\n14412 80281\n49980 97696\n73649 92910\n14136 93427\n34299 39430\n10040 80829\n25816 96081\n79851 96775\n25559 59708\n14454 30435\n8220 52505\n11087 82424\n45777 64720\n29777 50117\n44325 46248\n61647 92379\n11825 68615\n25717 47329\n32700 47189\n22256 67157\n26093 37824\n4767 97075\n10529 76757\n55447 94363\n24448 75396\n14247 63328\n48369 56946\n7600 89392\n14763 52863\n10714 11995\n58840 78715\n37181 41973\n2828 82559\n56556 82550\n83889 92568\n54960 97959\n3002 44905\n7611 35290\n34711 52367\n6153 79622\n66779 75682\n17248 90491\n35279 88534\n70458 70940\n31466 47441\n87427 88713\n19027 39238\n46457 98483\n15567 18213\n51530 82419\n21935 72383\n5868 45200\n9730 23358\n28959 80196\n38533 61252\n67633 98296\n16561 95090\n6493 12006\n34878 98719\n19879 71716\n8631 61718\n58158 71861\n32495 47110\n4274 76993\n11062 35924\n60750 69596\n45323 75559\n56432 73194\n80205 84740\n49231 59991\n26828 73428\n51516 57176\n12979 57258\n17932 86725\n45926 93158\n27258 89903\n23658 76252\n60165 84909\n412 24228\n32435 51051\n52249 75802\n69070 84955\n29185 90399\n51964 67655\n39982 50003\n9049 29495\n29843 93877\n1871 90522\n7105 77101\n36732 73664\n14387 28869\n50206 58770\n87230 97146\n16013 79438\n74021 74627\n20187 56857\n27997 83091\n81464 94877\n50259 80183\n4425 96501\n7194 19784\n4764 21061\n28923 77460\n62473 90895\n13869 33175\n72606 96206\n32833 65577\n5403 51850\n7469 86548\n7841 75513\n45521 95834\n1508 59869\n21597 96571\n92792 94117\n24535 51754\n46607 59470\n20845 28589\n12727 19803\n31110 74525\n44636 56687\n18038 23780\n62195 83433\n9470 45808\n19282 42407\n31205 54422\n19564 43121\n42854 50263\n47344 92743\n51683 53098\n52576 78978\n21511 56445\n8678 20139\n79864 85622\n12974 28639\n27598 90026\n18618 85271\n53702 89416\n54260 81606\n74090 87556\n28608 54639\n28546 80130\n88930 97826\n76559 96478\n24772 28325\n23370 42358\n22759 75191\n1254 44054\n35992 72484\n6818 46492\n14932 68170\n3519 52087\n12075 95324\n36123 48237\n35571 55133\n17346 95426\n48561 65032\n30195 82646\n1931 75805\n83713 86343\n42302 50595\n6882 66713\n39619 64292\n40719 97998\n33951 66507\n52550 53891\n41280 91146\n33247 36823\n15874 80796\n6482 14000\n21034 89235\n30150 43417\n41124 77676\n44162 51504\n5738 19568\n25574 84490\n71953 95361\n14900 20332\n52229 54094\n8133 31527\n2648 19512\n57015 63749\n24262 73230\n21981 95620\n15013 95062\n21300 48671\n32019 35761\n6838 20431\n35195 84311\n41871 67899\n29056 39080\n13818 29625\n37578 80531\n62788 81658\n5432 54673\n14987 48392\n11990 83930\n31233 68386\n6271 65659\n44230 91090\n20641 50943\n93917 97208\n50466 90501\n3421 94224\n53206 65398\n2574 3574\n31114 55722\n49948 84354\n77430 98387\n8706 97867\n2279 38845\n41983 63335\n15338 17612\n43591 71658\n9116 13896\n55804 78220\n30216 63226\n42384 45708\n23741 37811\n23838 31380\n66183 95614\n96201 98647\n3665 52681\n81403 96709\n18952 69726\n42892 84493\n74347 83472\n34956 46229\n17127 92052\n38768 79427\n46593 67946\n20900 80275\n2490 6014\n84429 96736\n58014 71471\n72742 90492\n55821 63978\n10433 98858\n25139 50240\n39958 94236\n15153 79302\n13445 49341\n58227 81370\n8425 75590\n30747 68813\n70340 91040\n61018 70120\n65316 90394\n29404 65728\n23355 49694\n52039 55374\n31568 89087\n41060 81854\n28628 84913\n8885 75609\n15361 65757\n59735 63669\n14062 21455\n6765 11768\n50412 89931\n56652 73569\n59738 73379\n79546 85822\n46848 88599\n12119 44303\n6536 76905\n21507 86747\n38919 45372\n484 46603\n47312 63878\n60870 99568\n35480 88946\n56563 65262\n5374 81820\n19974 71651\n17043 91227\n53564 86149\n89829 98802\n5896 72442\n4744 20565\n68744 97539\n49039 72066\n51110 96755\n1064 38825\n28222 34135\n39469 71953\n4974 25318\n47068 53378\n5317 24525\n15514 52906\n49923 93448\n11507 50280\n65030 85554\n29650 60069\n12359 80418\n12323 26391\n3124 4441\n585 78031\n41577 85209\n1075 18031\n12227 69726\n14772 83070\n77079 85892\n7739 97187\n41811 78990\n30600 67141\n11973 73872\n75357 78636\n63429 92182\n28707 56312\n34309 94086\n3229 58111\n27844 30194\n54364 71364\n4854 95308\n11785 18612\n45660 93138\n66963 70814\n19955 49260\n59062 82785\n560 70183\n155 40217\n13295 16767\n14435 26415\n46734 75939\n33727 53199\n51382 72139\n19503 48946\n38758 72189\n48294 64772\n30723 99457\n69323 76125\n5824 92202\n24960 28224\n47218 73326\n9997 30903\n69293 92765\n2928 56533\n40948 96565\n24017 47049\n6635 42548\n25802 65070\n30512 83131\n33519 84222\n30251 56113\n74128 97046\n7201 80674\n9723 25351\n69495 86457\n55400 80196\n10015 15632\n64733 77819\n79961 99662\n595 57708\n49063 84120\n61866 98068\n10989 79467\n35475 80338\n39377 47863\n10067 92286\n17491 31799\n40338 61400\n4187 57183\n553 48474\n56569 60583\n45418 57013\n45761 62918\n26226 37642\n39979 69795\n4557 28197\n2469 10482\n53934 74905\n42580 55278\n87898 95236\n30796 50372\n8121 9568\n22382 69607\n37874 57323\n37351 79698\n12818 35702\n81161 86407\n74893 96676\n5608 41264\n62929 67404\n14749 65119\n56310 80054\n30506 89802\n2786 4521\n93251 97864\n12045 67693\n81931 92677\n62076 87948\n53856 91054\n39784 67021\n62129 91271\n24350 87083\n162 78572\n27345 39255\n30672 72254\n49357 75044\n47722 67091\n42926 53921\n5440 70784\n21182 45753\n13770 22807\n41313 99602\n91139 98963\n34978 49892\n23330 39374\n23620 28765\n35418 47034\n30522 67486\n23959 97778\n4124 11311\n86608 87731\n76028 76954\n10313 28192\n83719 88822\n41121 94479\n73835 91119\n22978 39079\n59374 98502\n19054 31030\n30527 70544\n8798 99789\n4471 40956\n24335 49877\n43836 48574\n58689 60297\n1745 52227\n65275 80034\n44801 89125\n14841 96962\n54454 72989\n88729 91368\n5372 78522\n14410 94333\n40353 75731\n113 98515\n47810 92915\n33999 73439\n12589 42820\n52238 69061\n55334 60501\n9300 95047\n47413 74879\n28414 54000\n32805 74633\n27159 39986\n64084 88011\n74871 83452\n76201 77863\n6733 99751\n32817 59353\n31781 56110\n12655 96385\n75176 75899\n31792 78653\n47561 82775\n11061 34105\n56232 83108\n85502 97978\n87392 95978\n51940 80003\n18516 86716\n12410 38098\n64353 69431\n2484 64520\n42183 80728\n18757 46137\n37392 42823\n57398 87623\n5058 98665\n9813 23793\n3771 22859\n10747 14613\n1902 47185\n66199 72838\n3379 5124\n13970 42993\n1811 33268\n24285 94459\n3137 80371\n38732 45229\n5983 26122\n22506 86375\n58395 61332\n7187 15981\n27483 51242\n26588 68159\n2413 65497\n52760 97151\n37350 93619\n77854 93450\n60033 72071\n75700 86627\n9644 94260\n4687 53861\n8548 56072\n36917 41638\n3152 14545\n45253 72333\n22183 38751\n13554 89814\n19403 30367\n31052 41642\n51910 65873\n1749 11036\n47726 61575\n60674 82776\n64858 92536\n39341 65402\n70769 89995\n5862 12729\n26838 59297\n36112 54399\n68820 77112\n66436 91350\n34307 43902\n39298 73807\n70345 91576\n19458 40603\n16278 42258\n44778 84081\n89297 96507\n30945 57535\n62805 73746\n4010 29106\n30518 56519\n80010 97351\n58360 76157\n25119 43514\n38137 38531\n76245 96138\n60282 60703\n22216 98847\n44251 77340\n28825 31285\n30944 95295\n25544 95748\n49213 85722\n72527 82109\n23250 58018\n84746 98480\n15138 53484\n13212 81897\n69332 82597\n17775 65016\n76880 80652\n27322 84722\n61952 93017\n43132 95529\n65614 90445\n27827 96114\n2806 82025\n93198 99924\n67009 75815\n9643 28477\n41106 51063\n5332 76513\n20423 38600\n3740 41552\n40718 60555\n36577 75734\n4205 10397\n22686 65384\n439 70859\n64650 84387\n78343 93656\n31132 85543\n3753 13195\n31221 68996\n8519 70050\n17671 44798\n29631 76224\n10420 25206\n43160 43399\n39896 50343\n37702 95252\n40274 89347\n11189 58129\n5051 12522\n52842 88228\n5011 84143\n33329 93681\n240 50741\n15701 48917\n50763 77794\n8509 77714\n46776 87950\n2368 5684\n80739 84888\n45399 82206\n48857 77201\n30176 93964\n29775 47192\n4239 89471\n43526 49956\n14882 76336\n18037 86040\n36116 63584\n23076 52285\n31687 65209\n20093 49894\n66997 70832\n61094 83004\n59546 95127\n59575 96605\n51485 58806\n43822 70805\n61510 91701\n39056 70040\n52064 79800\n19558 79160\n81795 86467\n57963 89031\n36631 67547\n22719 48552\n61157 86169\n58338 79905\n24825 46299\n47618 72504\n65678 90087\n11516 25031\n2771 65342\n24286 45029\n1117 91439\n1761 5035\n62846 90718\n32874 34129\n13806 73422\n32696 78791\n40166 89088\n8131 91948\n2995 79406\n41831 53560\n12777 96608\n842 25832\n2166 84494\n45499 70765\n29535 93172\n75319 84248\n10644 98923\n12606 38492\n24672 83939\n1807 75139\n67091 90584\n29730 78499\n43247 57676\n68593 93809\n11392 79390\n276 74764\n26862 34928\n33321 67418\n16083 83872\n3511 31450\n36621 86612\n23787 53681\n11143 94333\n18961 31914\n3238 38208\n16619 87731\n90853 96596\n1625 34189\n21053 31717\n12395 76535\n4660 97172\n63681 75200\n13167 70686\n67050 87523\n81141 82965\n28185 81528\n33991 83633\n30245 59369\n73809 77767\n20175 71355\n83393 87379\n12400 87365\n39282 46554\n33054 92966\n8504 49679\n42463 51740\n32988 55988\n1056 76544\n27536 48409\n32485 50775\n6191 43602\n61291 98367\n47359 53013\n3239 96981\n9750 53036\n55055 87637\n12587 89555\n45838 81750\n2376 97385\n7163 82750\n29108 60797\n84765 92624\n29731 49806\n53235 98076\n31317 42261\n52442 96050\n34716 54493\n38729 68690\n23395 58383\n20199 85499\n55293 66272\n732 74011\n56137 58626\n43287 85337\n21872 88303\n28740 70747\n69355 89703\n8632 71798\n61089 84523\n51762 97630\n35106 40352\n60387 98448\n26021 39585\n28574 97740\n4365 96274\n49935 85970\n3789 15633\n65703 92932\n22508 59396\n38537 89671\n14954 47013\n35407 72843\n42116 75712\n12615 50051\n5129 38239\n58607 73591\n19295 77175\n7447 41871\n32275 88646\n4301 78464\n69111 95271\n22056 62593\n21398 52028\n76442 89568\n43078 91606\n7111 36277\n11076 65202\n55500 65136\n17056 21162\n49230 60701\n21962 48611\n5433 51941\n62209 80202\n21327 69109\n83084 91656\n72047 75858\n66933 77692\n56770 92413\n26395 64916\n7330 77539\n4451 37839\n15170 24579\n4906 48699\n59997 69018\n27769 28115\n54082 55608\n75356 77480\n73603 95073\n44063 96491\n12841 16850\n53095 74763\n73357 97330\n50815 86447\n26747 71410\n30479 84953\n28780 51981\n15998 87989\n17086 46719\n4604 73070\n61899 78150\n24318 32436\n84598 95796\n61535 97697\n19675 29390\n34398 38308\n95087 98362\n27532 38450\n894 71907\n50980 65671\n41170 93310\n11529 61153\n21530 85615\n29731 39936\n7297 72399\n27854 68261\n43159 69977\n6656 36835\n28741 59265\n15980 71712\n23093 55926\n335 57565\n28394 99166\n4801 69513\n83372 97015\n298 41641\n19830 69013\n24695 63104\n19009 87139\n8062 99892\n37232 47774\n5267 7653\n7877 51915\n14545 15675\n39235 51338\n28301 99294\n30071 97476\n55309 57861\n67022 69080\n45274 70978\n24279 71498\n11306 43712\n78912 99853\n4899 35847\n2566 51654\n49945 74909\n52402 69098\n4384 39870\n24650 92752\n60421 91025\n6450 10596\n15597 78213\n67225 79775\n46034 65751\n29333 88695\n20686 54522\n65722 66954\n22834 90912\n27156 32239\n42839 68085\n59564 69618\n7123 25716\n4111 35028\n60128 68650\n10220 58985\n72005 90676\n69050 90030\n58055 81799\n45416 81381\n17533 84339\n18157 96959\n36222 39099\n81199 97484\n2790 98010\n38833 49081\n41511 42757\n11202 20193\n44727 79606\n37043 41898\n10892 60601\n44449 79442\n29215 38474\n33490 55697\n13016 72499\n51822 67208\n95959 98534\n35133 43138\n34615 89508\n63628 72781\n68246 79559\n57900 61695\n7800 60389\n27405 37811\n14718 78695\n7301 19679\n58418 79760\n17073 44838\n28059 95376\n5579 10396\n11892 68944\n63918 92096\n78445 81820\n24246 60932\n38583 93134\n35577 38509\n26101 63521\n55680 72354\n56137 69372\n44047 62139\n7118 43952\n4074 60520\n38162 60274\n39481 91182\n72764 81307\n6229 66235\n19853 71397\n6174 96879\n56052 67235\n87131 92221\n13740 86851\n2247 11759\n62489 66036\n75922 84485\n25278 85008\n7394 97229\n58006 77135\n42746 95373\n27967 53644\n35184 99381\n9307 43500\n20829 63449\n57485 71982\n1494 34782\n95296 95888\n38168 77366\n18729 83090\n40542 83090\n18200 62885\n36665 79295\n12616 43346\n22612 97020\n6153 10887\n28057 57140\n1260 82585\n49059 72391\n27627 63833\n32933 93013\n67865 86888\n52490 54640\n10965 76697\n81724 92435\n73763 79851\n34256 41254\n83899 91050\n26671 28005\n20124 24872\n12821 25790\n69248 96015\n5569 40489\n3574 16220\n64483 86857\n19518 65741\n38428 44493\n36968 46197\n15993 55560\n8567 42995\n29335 37851\n46662 77860\n10102 64368\n1195 2869\n982 47422\n16254 36313\n36515 65373\n31464 76946\n82741 94185\n23540 89407\n47525 91158\n27976 93396\n12006 27170\n17805 73067\n81516 94520\n20807 25182\n11733 31004\n31116 37607\n67584 68640\n4071 5427\n20972 75067\n45764 69274\n29955 86223\n34582 54370\n45337 83997\n60439 85106\n41753 65053\n19574 30889\n29310 34659\n38155 45115\n11853 88630\n63183 73242\n17236 65883\n11585 78702\n45967 82033\n35675 73687\n92387 97314\n35663 78023\n78875 88630\n12768 45139\n33872 51303\n62779 71948\n32785 33040\n42558 46233\n6446 91310\n5740 26441\n77642 85918\n13862 45776\n35064 35553\n45189 67337\n49923 62049\n18817 97396\n34301 73283\n43711 86864\n68542 97540\n17119 51977\n70373 76812\n49033 56187\n51457 94321\n9703 21427\n41436 94153\n79635 99235\n84829 88631\n5630 86320\n51334 85225\n62415 70999\n25605 46498\n71247 98887\n22541 80090\n4801 97924\n29463 96407\n31128 55144\n50412 51785\n75741 92738\n29779 85375\n38057 69615\n77108 79155\n29938 60966\n52758 52945\n53629 67752\n62802 73292\n32343 40400\n42899 70492\n43479 99270\n27070 97957\n20637 88205\n39086 54734\n62331 68153\n51819 78784\n23045 42675\n43761 71258\n27056 51713\n7333 38288\n53885 99850\n67226 76725\n407 93268\n42532 84657\n3497 6414\n64586 98269\n66737 81474\n38019 72414\n34972 51136\n9986 28953\n11701 87369\n75364 88337\n58677 83464\n58350 60524\n55461 76312\n1466 50873\n66903 85348\n13328 22082\n12312 23286\n49234 72434\n26627 74944\n40628 56575\n46591 68418\n29515 35056\n30097 43997\n76275 92350\n62736 66510\n2812 60816\n67659 69675\n21366 48846\n19154 21393\n11493 95919\n42395 72066\n48739 87803\n7662 61155\n66401 93190\n69166 94483\n48988 68111\n61412 97844\n4826 20839\n63685 82008\n37374 50917\n25742 29564\n51671 55880\n71161 86106\n70522 73541\n33886 87373\n72999 95009\n43740 70336\n44524 55008\n42049 62554\n19316 51019\n2525 83819\n39913 87063\n19371 56947\n54371 72720\n67378 79375\n75664 95469\n68252 96110\n79920 94259\n52672 83719\n28824 49886\n5853 93172\n4847 95156\n30504 34971\n8735 80751\n29353 57053\n85812 89840\n43100 43521\n44444 55551\n7025 95340\n78259 97984\n5733 74387\n80841 96613\n27794 83454\n22665 59055\n24394 98400\n26165 60372\n34288 97869\n28760 67059\n18741 94020\n94466 95985\n21517 51232\n44528 85967\n55176 94723\n1521 38530\n34697 69358\n19903 56604\n85323 99042\n7740 95213\n66296 82545\n13295 73473\n8661 64874\n12973 78606\n57976 64228\n12093 84110\n22801 44034\n51813 94038\n30995 72931\n51229 61343\n32094 32347\n7215 72209\n21764 25075\n64511 68534\n32074 33053\n11674 62360\n55301 60078\n13501 60697\n52948 74214\n58987 77856\n17567 82392\n26665 63205\n36453 64569\n6986 11002\n44794 71368\n35407 36322\n27195 64705\n16313 90749\n2214 75708\n22721 96850\n38591 58595\n2315 7817\n20214 31434\n65980 71226\n32018 97713\n15554 36698\n829 96344\n56227 90228\n14227 67531\n47981 92088\n56071 68592\n6937 51321\n42452 84620\n10267 27673\n29743 78104\n51076 60496\n12933 68352\n27049 46077\n3271 10260\n19249 28064\n10011 83270\n55118 99807\n47580 91256\n2380 85653\n13920 58603\n20478 26899\n56797 90814\n61283 85734\n98545 98723\n27077 92822\n4113 85607\n44151 75842\n37048 55212\n16268 86606\n63165 84643\n47194 52110\n14802 53409\n24346 75220\n57317 92901\n87165 98252\n33458 88021\n22167 34335\n31935 75275\n47344 57196\n3587 79192\n69190 97842\n45141 66475\n87139 89985\n57479 98429\n51541 75396\n69793 86809\n28976 72819\n14185 60756\n51316 79877\n80772 89047\n25493 50701\n7332 43221\n22124 72132\n48594 64637\n31205 90104\n35604 69332\n55873 73693\n65617 78929\n37520 72057\n3034 11470\n14932 27611\n2227 75286\n4308 16933\n14858 72468\n70336 71722\n39208 85236\n57683 90881\n43041 97763\n5540 13036\n27386 93954\n430 89693\n10643 62455\n43462 63857\n13903 89125\n2160 16386\n66918 71554\n43094 77217\n56068 92302\n49953 78793\n39907 44386\n6438 28438\n17310 99567\n13267 61162\n7958 98857\n15557 89728\n5715 67754\n11228 85887\n59020 66333\n29487 54115\n51527 52785\n21580 78937\n18777 49472\n8779 45961\n16910 98757\n17610 79204\n81377 96019\n36094 90728\n57040 82799\n3322 7184\n52520 56031\n38 60312\n48998 85157\n61773 95505\n80909 92402\n5508 38622\n45067 72460\n67963 77581\n74410 87129\n3928 84851\n24818 79028\n15390 59712\n8395 91780\n64311 67766\n41895 59126\n245 99258\n46140 66068\n10654 70307\n78612 86592\n31875 56716\n37246 38558\n42646 71470\n74125 96297\n18595 85588\n48038 57724\n8448 73410\n58123 81668\n24952 83531\n16273 96782\n1976 84435\n45137 50677\n3415 66556\n23850 93984\n18756 20020\n22288 57653\n24343 31260\n84722 93508\n81450 92422\n59905 75892\n24690 81287\n32954 34052\n12004 17334\n43197 50151\n15489 75582\n50567 82586\n35465 64965\n28948 59215\n69382 86684\n18403 26771\n31140 31859\n26436 80314\n3855 46966\n12236 30076\n46329 99088\n34547 85677\n27855 67301\n13987 67161\n36207 71886\n2717 74320\n4949 86654\n77894 82063\n33959 34536\n77727 77790\n77311 83710\n7273 10904\n24095 75742\n19174 96925\n29512 93962\n79733 91259\n19000 42145\n25510 91091\n49757 81606\n31930 85704\n85701 98342\n52871 82840\n21249 38180\n44846 65097\n62705 97551\n8524 34066\n5315 76816\n53218 59084\n31945 82381\n7413 37645\n20896 42226\n49298 97740\n37524 85739\n47822 61934\n28453 64374\n50352 92571\n31900 57924\n26554 88525\n15662 73729\n3918 23791\n49142 93030\n18316 65637\n11805 88289\n72131 90458\n55914 60055\n36921 59336\n44741 55276\n71402 82285\n1567 38145\n42974 65362\n27552 95508\n5089 31174\n46613 66521\n77650 80147\n36080 84658\n72616 96820\n8631 24152\n11470 46135\n6053 70514\n96049 97657\n27531 75132\n20350 51321\n1722 3551\n19632 67698\n3365 47449\n952 59323\n32508 39754\n76017 79151\n29757 76928\n34216 87666\n82532 92882\n26803 98930\n3385 83107\n42081 76807\n13049 69616\n35592 68174\n73186 76461\n59852 67394\n17150 17478\n21839 83848\n56152 89459\n62288 94395\n48826 55967\n26839 69066\n44493 50917\n58865 65214\n41450 88533\n67004 98917\n25914 55868\n9216 91901\n83349 93086\n54266 67295\n27593 41009\n11721 88093\n56036 80346\n68805 97215\n36929 99333\n34759 64275\n80345 85666\n24615 47438\n29725 50387\n38839 73427\n3525 49313\n56639 62167\n35791 76149\n10143 79429\n16299 64858\n34888 88234\n2252 79999\n28784 50376\n75092 86272\n48168 96463\n34544 94242\n45235 53280\n33112 87281\n17504 91910\n408 26015\n42204 70158\n77466 98405\n80254 82248\n36041 89661\n47345 93627\n6098 81166\n9750 33219\n88801 89579\n13746 36592\n2741 67187\n83252 88689\n38636 70734\n66932 84498\n77622 87175\n52883 79508\n1524 92617\n78086 78458\n73803 78554\n24570 91506\n357 21915\n11885 49702\n14563 68945\n7037 43420\n41788 94971\n16429 36690\n8748 85044\n55862 87903\n34194 86881\n9643 87051\n39140 66894\n51486 58736\n34380 72835\n23774 44108\n92333 96772\n53178 97364\n25327 49697\n41047 94442\n12425 95869\n7889 59362\n2777 22721\n27509 35815\n40884 97936\n11312 98338\n9595 47769\n33908 41154\n19255 22549\n16680 26194\n30956 52084\n76675 80742\n60188 63174\n21725 83711\n40899 52541\n6655 21829\n29843 87818\n35974 96444\n79621 99577\n53198 63420\n43726 93039\n19479 89462\n20904 70368\n40230 73282\n24460 27300\n17249 95025\n18887 44451\n69710 95954\n4296 59025\n87854 95222\n25882 68951\n20164 87187\n42880 78821\n64018 98086\n22434 99884\n36500 59305\n15254 82951\n7938 41627\n54073 94240\n11685 79832\n10668 99640\n16877 24177\n3043 61589\n79382 98311\n29746 31646\n55015 82007\n2439 16474\n28696 64286\n5213 70255\n24699 54512\n41756 68944\n2412 62179\n76384 98369\n13767 29782\n64377 98568\n11339 23543\n41608 69917\n28997 36359\n37795 84526\n21990 65724\n47113 68094\n43823 78734\n6378 6938\n8582 33018\n60946 60991\n35279 50696\n6634 47618\n7783 36178\n74890 89765\n31523 95371\n20737 60105\n7997 12990\n5200 25147\n22143 38497\n37391 97248\n22084 72323\n32698 61905\n77893 81541\n33401 65158\n24713 79724\n29920 59109\n60524 82659\n68378 74766\n7280 60593\n58723 58760\n9742 45226\n59663 90326\n68135 69996\n40482 99462\n8223 71904\n19542 96885\n56514 87726\n48541 93124\n8721 60783\n36817 39043\n21208 79136\n40918 49478\n42402 45345\n37945 68077\n39667 49721\n96214 97912\n4243 49456\n56854 67549\n15928 18761\n38105 53818\n22529 37520\n11012 12507\n96252 96927\n36934 43487\n22692 79366\n64728 94552\n48398 81178\n11702 22902\n7183 87382\n199 44671\n42614 84705\n90363 95046\n39622 93049\n18155 19866\n10086 45375\n39630 56206\n39384 95888\n53121 61618\n10320 82803\n30840 70898\n47464 62644\n17772 50286\n43288 62663\n54105 97554\n12104 41012\n25431 66590\n1712 44347\n3174 76995\n23914 28959\n16373 37074\n66739 82076\n5670 61111\n52304 89824\n22297 43203\n79976 85526\n69654 82256\n46438 90465\n314 69583\n86471 88346\n42210 98539\n34333 71132\n43050 67635\n17829 79187\n8564 86608\n16053 74360\n21063 60529\n56493 98928\n8162 9756\n19526 57196\n65592 96482\n2061 10568\n16922 46147\n69161 73931\n37814 38384\n90882 93294\n31499 58162\n61443 70024\n1554 67417\n1957 21904\n5362 83204\n57838 61645\n31215 52963\n16341 49236\n48032 92104\n4977 26853\n55150 69823\n1799 78438\n30490 48354\n1334 36264\n21346 33537\n77434 85530\n21987 71542\n70315 74110\n46356 70508\n63436 68299\n21229 38170\n5694 52246\n86561 87699\n63920 86623\n3223 48559\n15885 45266\n76460 98325\n24478 38564\n23598 95322\n12338 41865\n58062 84675\n17319 97624\n14972 87147\n57395 66974\n26499 80404\n59333 86334\n26277 95885\n38322 62943\n6567 50263\n4443 90925\n30364 94048\n48754 50510\n88659 92314\n41730 69255\n24751 63752\n55357 86305\n7184 44149\n651 1101\n18118 22194\n9115 32193\n13104 27734\n31290 36472\n50583 68134\n50661 97773\n3345 24560\n33856 89454\n468 91072\n46277 81212\n4406 25611\n11951 98949\n1146 14371\n32904 93862\n26555 55260\n19256 86761\n37025 93026\n37498 84114\n724 3913\n17500 88838\n62599 63613\n15269 40707\n13538 87146\n55263 65535\n23472 91902\n41499 78142\n13895 72748\n28790 52195\n14417 98440\n81244 89801\n38393 68679\n6907 90579\n39305 45600\n74972 96919\n74656 79633\n6246 60689\n36496 41653\n3408 23402\n32753 97926\n46213 94660\n55044 98530\n2225 32844\n8265 33833\n33387 50987\n9068 91546\n27662 85530\n14744 92087\n49735 75184\n59221 66070\n5863 50356\n35622 69393\n10948 35155\n8919 90103\n79478 80903\n43300 65154\n45405 59087\n3095 11828\n11305 97066\n35165 60544\n54278 88436\n65278 79357\n30672 46620\n23198 99180\n23150 56644\n49891 65796\n80975 92854\n25279 68973\n13025 52125\n16269 82390\n8742 57958\n12127 97288\n9774 16945\n62037 84342\n3772 85016\n8492 13518\n68327 91682\n59346 79190\n7816 61157\n47207 78334\n14977 29751\n2788 99540\n63487 67514\n8073 64111\n58907 96603\n56412 80774\n26486 55892\n9146 90412\n43205 77416\n56911 93854\n68374 88795\n43486 49947\n23512 59946\n42649 71197\n64257 82722\n55893 76690\n22918 67634\n34905 42214\n54552 70045\n65746 72220\n10125 96852\n13676 47174\n77550 98240\n10326 76192\n75289 79382\n11451 96728\n21591 45574\n9638 10612\n5931 57748\n22502 49180\n27779 88635\n14982 28350\n10740 48075\n59984 80094\n7263 92550\n5110 67092\n24320 87905\n19899 93665\n4160 98008\n54 17784\n5902 78915\n68331 76541\n19914 91471\n34126 58718\n22251 48358\n84968 85063\n38641 51966\n73394 83172\n27035 98639\n8632 23127\n32640 63049\n4475 51218\n56609 63991\n14287 86376\n13051 87305\n5728 41371\n58490 91311\n14224 62986\n44712 49264\n75241 97036\n22429 66138\n11814 45631\n25602 26735\n20366 93681\n19541 76863\n3297 36971\n1744 27941\n26010 28857\n51817 60563\n58830 93057\n69747 74747\n89565 99093\n27849 68995\n8292 99758\n35099 74424\n18227 73833\n53191 89932\n20749 52197\n16640 85123\n28141 64600\n23934 75948\n1604 29095\n57617 59337\n23715 82992\n53447 56779\n45676 65870\n309 53276\n17214 56141\n49291 93754\n18124 58447\n83847 97143\n9583 29784\n53799 64067\n51560 87326\n10479 34052\n54237 85202\n27015 59132\n64497 96354\n74200 75941\n8872 72106\n2407 50634\n8721 41928\n29876 78172\n39039 51870\n2585 10094\n44536 74484\n1884 58598\n57424 75158\n17599 48494\n6351 13812\n9746 39290\n23893 52683\n8014 27073\n47594 56305\n8109 42133\n49158 53360\n29749 60057\n70360 80972\n79822 90787\n23529 84626\n20261 43194\n29943 64839\n21767 43453\n38280 54465\n22569 60919\n81551 90335\n3203 64878\n31901 87380\n24877 44299\n5815 88244\n59333 76643\n95859 96241\n42862 73737\n611 82282\n11085 28193\n89940 98755\n10680 28450\n13081 93613\n88524 91317\n4252 79268\n2022 6964\n10098 25874\n18614 80258\n32643 71344\n13962 92678\n8274 21774\n5982 13420\n45047 88692\n40599 51107\n18901 42597\n11794 42107\n73096 77017\n3847 69947\n24246 70420\n6381 76866\n18944 56402\n5658 79160\n36211 54918\n42909 87692\n43433 46427\n39994 86424\n4743 47568\n15804 29245\n32674 33184\n34672 98345\n67007 93780\n21859 65899\n55986 89774\n4443 51262\n84288 89116\n34840 55320\n26441 65188\n45092 82528\n35312 54484\n68778 74706\n14281 30528\n5721 94756\n15029 83633\n42977 87452\n13051 93778\n51860 55503\n16908 85289\n41143 77337\n56417 63156\n68185 98651\n29264 77719\n10274 69879\n5170 70409\n24219 78484\n17334 44031\n59450 99868\n65077 89815\n37583 73921\n43800 47645\n61962 70894\n10621 13719\n8955 43852\n9943 24577\n16385 61486\n45017 94800\n447 56755\n1084 42089\n27334 64370\n1135 51055\n11502 96427\n33622 75253\n21826 24447\n24066 36734\n5775 45881\n72324 84441\n40522 86819\n35273 60495\n29685 35617\n79952 98857\n77132 99429\n15954 43493\n35382 96770\n10985 51221\n65523 68585\n38453 53572\n38445 66242\n49987 69496\n42978 61102\n9037 56511\n83743 94501\n12997 15525\n44937 84889\n29848 54502\n48148 64983\n9179 28852\n78628 94321\n24496 79775\n55956 66550\n39147 52644\n11664 97406\n3573 10484\n17557 27638\n22425 41599\n4891 83258\n59318 82157\n706 25310\n6367 6974\n36816 99279\n71293 95007\n27547 87350\n68147 88752\n39256 45234\n741 93672\n63781 69422\n30752 31290\n3383 42445\n3869 65652\n4719 86629\n16011 41072\n28261 58559\n2611 7825\n39799 59679\n41554 50862\n20688 60424\n86567 89890\n15989 86685\n25519 37576\n42173 45772\n30173 54889\n30748 96980\n1408 49334\n7216 60791\n18123 84693\n5252 97449\n427 96432\n23025 85661\n18420 58391\n62301 82490\n20979 32103\n19183 92976\n22894 72963\n49987 93997\n12650 70896\n46077 71856\n41972 52910\n49549 56867\n39925 87169\n10776 43055\n29760 70430\n8190 26741\n56056 81692\n61913 83084\n69600 84789\n10285 13895\n29111 43930\n66196 72880\n65725 72542\n25251 78859\n11343 90885\n29994 31035\n90077 91153\n10989 57016\n13337 45191\n85221 91042\n8930 23741\n86255 88937\n8461 72694\n31020 92293\n45805 79996\n47610 68726\n53391 74762\n23124 28437\n47069 62436\n36960 61858\n27682 86553\n1244 64915\n4605 27874\n6722 52478\n7842 71145\n22170 44010\n2757 32597\n245 6614\n32934 55705\n69541 81153\n49881 70805\n17862 28899\n15880 23275\n32728 86707\n55103 72306\n65161 66553\n39235 54808\n44811 82471\n75496 98635\n1240 12924\n16349 28901\n26849 57863\n3610 85076\n50408 77078\n432 24008\n19123 87854\n43377 77903\n54294 66111\n41395 83947\n46904 61912\n36482 79644\n32751 82423\n31549 43828\n46553 72113\n23364 37010\n55331 97574\n26354 52402\n39432 61349\n73926 74929\n6796 78673\n17535 44896\n67993 98760\n29430 57004\n51782 89332\n44984 70215\n50369 55468\n54430 84590\n85266 92369\n44207 74747\n28143 47522\n15808 25087\n5216 91262\n65314 66668\n52803 93410\n74634 82132\n15836 32659\n16494 20048\n2044 42420\n5140 88400\n32886 34395\n60230 61497\n30111 37519\n73608 80922\n4559 8863\n78046 80763\n10834 92610\n59330 68058\n43434 45670\n13579 69872\n14171 21834\n3794 19396\n6570 59585\n33138 35610\n24438 34479\n49022 96251\n2136 20523\n31598 92326\n76155 80734\n18546 37168\n24 79430\n92934 95589\n7229 14524\n10525 79469\n20237 91130\n1693 32391\n64352 95841\n7240 14425\n34265 64096\n65294 86215\n23813 52129\n85588 97056\n24960 53315\n28080 86550\n27403 58025\n66729 88062\n19642 35144\n23644 34684\n38392 55206\n43223 99905\n11310 98581\n54935 78983\n7695 87516\n40243 43233\n34154 64559\n24599 36905\n26303 68089\n16417 26679\n52330 89543\n70505 82613\n30221 55258\n23533 97216\n48466 80678\n25979 70182\n225 80744\n51204 76655\n5908 26114\n43004 51589\n12450 24773\n2619 25545\n39601 84437\n9956 97688\n62138 72392\n68848 72716\n26948 94180\n64043 66874\n77401 94646\n15073 24485\n41894 70710\n40197 61084\n15459 86349\n2017 76042\n20551 59872\n36267 89144\n33674 40096\n33270 91188\n4511 34182\n2975 63162\n18749 29855\n30625 42189\n56298 91670\n4369 42883\n22358 57863\n36443 68514\n52170 58351\n1147 25567\n7684 60145\n21403 72870\n11054 80735\n45019 74291\n3154 68035\n32081 74997\n4558 32309\n46469 81970\n73068 89656\n2667 82417\n49535 84495\n27049 43412\n17575 50337\n21137 43983\n48194 58004\n28419 63158\n16670 93617\n46131 56730\n19121 77858\n47716 89676\n66482 70857\n8890 95724\n88826 93235\n37738 61662\n53877 69422\n14673 39598\n69578 98128\n18415 80539\n31025 86549\n5425 82702\n76029 89118\n29682 59005\n64003 95224\n49992 72864\n27353 87149\n67007 90034\n26273 71396\n21360 48119\n42552 45729\n14550 62587\n21587 30597\n55962 91412\n31081 86572\n39780 47146\n88453 95513\n352 77539\n9948 31914\n27397 69763\n61190 79406\n86716 90823\n48494 60700\n45039 66991\n58539 82140\n46370 53505\n32263 69870\n16916 34971\n11662 93626\n33915 55584\n18044 34661\n23969 68864\n67560 73492\n32502 96896\n38480 99571\n25788 97312\n25796 96811\n68588 87341\n33243 77913\n18088 51270\n3678 72582\n16954 48381\n1329 1743\n56163 74208\n54389 90433\n3256 61375\n62801 85414\n34335 65832\n57684 62238\n16065 73878\n54012 64081\n5208 35608\n13345 85406\n61719 70717\n30548 74505\n31676 41805\n44298 78635\n19471 48843\n59780 65574\n18636 71536\n79480 81788\n13750 31392\n3793 13688\n24390 57932\n9718 81397\n57536 61644\n14616 21880\n14993 53922\n44084 71692\n32231 66272\n57955 78948\n1785 73717\n4650 41669\n4171 52323\n28621 33403\n49883 65109\n15371 85728\n59211 87612\n44962 47169\n66573 89569\n16771 76796\n7806 77840\n83185 88756\n39583 90928\n46562 91475\n36930 94315\n13500 77763\n6501 98037\n54090 73187\n86053 88102\n45813 65500\n634 30359\n10349 77320\n28435 67105\n54348 95036\n38578 89674\n14564 14957\n79162 80752\n62106 94224\n59108 79831\n24761 84248\n22649 97395\n3032 29734\n40357 63460\n45821 57571\n670 32280\n57406 98448\n33476 96426\n53871 54384\n10774 56977\n35992 60518\n38801 88946\n84914 90576\n24255 25103\n54419 79685\n65869 91195\n16824 78746\n56165 77813\n17451 72529\n61058 89807\n25118 55611\n41892 71447\n36826 42963\n14169 88215\n2812 94009\n18845 76126\n23830 91607\n15903 21928\n7258 60420\n19151 64622\n15654 84772\n6318 32057\n2505 18076\n15207 74307\n45257 46243\n90029 92884\n83449 89032\n22072 58752\n82116 88512\n45687 83596\n8829 20192\n3907 61019\n78962 91515\n8803 66066\n46691 99294\n38410 71382\n40382 95182\n11030 92699\n62404 62722\n41142 63623\n49311 92280\n14395 37043\n35681 77598\n19773 95352\n7564 80431\n19251 21371\n30807 44014\n50782 52146\n71859 75124\n86062 96254\n53335 94663\n46756 62790\n47057 49785\n53987 83163\n48738 65389\n42070 95187\n13058 66464\n82739 88403\n11499 63223\n59141 59820\n20693 47080\n58410 77017\n7450 27110\n11179 38965\n54028 70790\n24791 89447\n45180 97009\n43124 77668\n71622 78073\n11364 44034\n22669 46886\n13935 58687\n54321 71144\n17263 83824\n73782 95093\n17968 43428\n6472 75224\n52727 81282\n47448 61861\n58215 86096\n44272 93219\n30511 77877\n50484 86415\n71783 73827\n54999 82167\n71164 90851\n17525 55214\n23187 87149\n63044 80866\n52545 87207\n15848 34048\n7120 41967\n40681 47778\n17316 73388\n16742 70964\n75151 85503\n42652 51363\n9043 55493\n5355 77499\n7100 42553\n45254 51395\n21206 24055\n28287 58580\n27327 75529\n88124 99390\n43870 99935\n914 67812\n11622 99115\n36956 90227\n42648 99203\n76414 92963\n27831 31945\n23820 65924\n1480 68127\n17314 52887\n28705 51128\n1859 60700\n95608 97692\n16947 18814\n23114 52998\n4348 42822\n37314 81405\n28863 66313\n5657 65285\n45832 91198\n24830 36936\n31050 37824\n22013 37818\n7326 32271\n36045 59568\n11749 82666\n11189 35320\n69311 81258\n48344 62829\n46004 58044\n47929 80003\n37224 69537\n28966 92605\n12690 90789\n33539 45839\n45555 65432\n32587 66102\n55132 86792\n41439 76249\n17770 25954\n39554 41965\n7109 54863\n901 58309\n50141 67666\n46633 99897\n1111 55543\n21120 67796\n34624 41974\n906 64303\n22060 45552\n672 19683\n75192 84124\n18501 47047\n79041 94168\n25089 32244\n55546 62368\n45364 89056\n60711 63946\n39117 47561\n61068 62269\n64134 88948\n37677 82068\n46629 62904\n92985 93994\n5223 14295\n7150 77934\n8155 84138\n3882 6857\n26757 51366\n68756 79705\n31564 88747\n16960 80502\n23304 48774\n64313 92500\n28622 99552\n65635 69557\n6018 19696\n192 28110\n38777 93278\n45843 47809\n7587 96363\n12510 25734\n26314 30214\n29359 87173\n17630 30353\n78866 95611\n22011 98072\n52027 96114\n29158 44998\n39291 68342\n4619 82564\n48519 69229\n9361 63423\n50333 93711\n60219 84818\n11349 27554\n51457 63138\n19751 65462\n27682 42600\n83455 87532\n67348 74023\n49278 57801\n3844 30969\n34665 64617\n66697 68632\n44582 77835\n7321 87940\n81569 96183\n315 97235\n14969 54593\n30723 67051\n33939 89251\n16037 33864\n7404 52085\n23898 41656\n45446 98500\n21082 73945\n11789 13542\n87542 95275\n4964 61350\n17821 44085\n37053 58869\n73855 76097\n49055 89182\n55975 64676\n51003 82899\n43745 45194\n38264 39550\n11111 66885\n58999 96592\n248 96087\n61005 89438\n60066 72230\n611 7115\n10004 14480\n11974 35117\n29665 82737\n4263 75698\n13750 77984\n72881 94174\n14165 98425\n59772 70463\n7990 26483\n46430 49701\n65121 95561\n14790 60687\n19605 63125\n29192 96799\n15528 86196\n47778 64896\n41819 80310\n1521 86945\n35659 75989\n43651 61194\n2164 50813\n13389 97100\n28377 93226\n12056 64534\n22862 33823\n81196 94224\n10900 71055\n42334 63646\n16143 36345\n14796 80893\n45591 81968\n36703 49833\n57197 88821\n66485 87845\n12958 49648\n27524 74248\n20863 93892\n74174 93637\n4565 86204\n9127 11007\n26419 50980\n3342 30454\n28562 67645\n76567 93485\n24079 24123\n16413 92284\n5556 71127\n27963 74957\n38680 41582\n59972 93673\n750 9786\n34557 42124\n49974 66381\n22159 29275\n76177 80582\n21540 44523\n16410 69196\n7616 15629\n12869 61841\n25072 95831\n62936 75638\n7454 27310\n29178 82070\n11533 79740\n73870 90582\n30360 42720\n1749 67675\n1273 11272\n41040 84744\n1501 28080\n37968 59342\n70866 91615\n9019 55086\n43593 76826\n24434 41642\n30424 42449\n35715 67104\n45004 73614\n51066 60035\n56810 92581\n13405 40620\n50755 89923\n37929 79782\n13547 55101\n68374 96960\n8060 57788\n56165 76116\n34999 86178\n51167 55343\n64524 88641\n7061 12849\n343 24057\n27357 32452\n59227 80116\n57264 59920\n47474 58707\n23459 90048\n32561 36721\n14158 76925\n5349 81150\n12049 37700\n56572 81669\n321 46678\n43200 94878\n55538 77172\n37085 67688\n23879 97983\n27495 61198\n35697 84198\n17175 59881\n72901 79273\n30664 70438\n18363 27491\n37341 87292\n42851 77285\n27710 39592\n22598 66888\n8953 88606\n87233 91188\n13187 52252\n29741 54770\n57387 98627\n25053 47194\n1803 44958\n47574 97377\n29726 88815\n48165 48170\n42502 52237\n82609 85618\n57567 58715\n75213 87522\n9118 57669\n3993 80702\n52530 87815\n69942 82620\n47134 92327\n44261 63532\n25249 31989\n10834 57440\n13691 13809\n2003 49320\n29413 53938\n20970 57491\n34416 58720\n2958 92579\n10354 66319\n30467 93931\n1491 41687\n41986 85992\n46017 48061\n17161 60624\n42603 98886\n1889 61212\n27467 83040\n57561 96725\n4692 65691\n23941 58685\n23773 44793\n68534 76339\n7106 97104\n54579 69980\n18411 18541\n40390 96104\n8134 90842\n65618 99690\n13081 81467\n80680 81281\n38584 99007\n66553 90349\n29767 51049\n57024 67318\n9430 39754\n28903 78044\n39106 86049\n50766 67924\n21134 68723\n11399 70763\n25617 84081\n44853 52333\n15788 46718\n31299 79983\n15939 57679\n27162 85670\n12336 97916\n14786 25901\n24385 79136\n68974 78271\n1287 24754\n55587 59771\n62141 89722\n38890 96443\n31693 57009\n12505 71577\n22926 39514\n77509 82474\n42151 74281\n47905 93482\n53415 83844\n38863 66612\n23288 60410\n13377 21597\n40536 92984\n38105 66405\n46831 97918\n10840 87837\n47939 59533\n795 9153\n14739 75253\n73931 92705\n28344 75768\n4038 6207\n85007 90815\n47876 82376\n23887 50626\n73678 87213\n49640 68454\n67522 79423\n41651 90978\n16195 98368\n82350 90355\n11099 65582\n29660 56437\n39237 49961\n23394 39306\n7406 86408\n44925 55070\n39530 48310\n48066 61878\n47202 96617\n21242 95895\n43423 44919\n22568 82234\n74046 88015\n4797 43791\n13012 63362\n7125 20811\n2240 97479\n58055 64653\n29711 85994\n20050 53108\n45081 63856\n47885 74879\n12696 15007\n16082 99789\n30256 76703\n1089 99472\n64958 97785\n39582 91555\n55300 65639\n14238 20154\n23917 29680\n12317 14964\n1822 61094\n19007 27119\n16883 49852\n30789 47666\n2589 91486\n17548 79195\n10379 80128\n1897 30925\n52195 54103\n1982 34909\n42258 76539\n33535 93913\n9798 30312\n172 35191\n24701 44468\n8007 24145\n44203 61509\n951 14915\n56167 60067\n41767 58106\n32992 62917\n61166 91621\n34834 98055\n86797 87721\n18474 98236\n32147 44633\n76016 85937\n28990 36186\n36350 39739\n31061 39367\n21802 43534\n6362 22064\n78268 96649\n2691 91891\n19033 81105\n6595 17988\n34984 66935\n14684 92851\n52971 82087\n40477 76369\n37791 86742\n86099 95250\n2064 49496\n38980 69251\n68832 82873\n46513 51479\n88720 98124\n73773 95363\n51314 81150\n1486 69569\n32612 76168\n34924 73235\n45340 74237\n72987 86296\n5133 86814\n22501 26156\n20567 95126\n15464 97877\n43907 75869\n5634 74434\n62896 82914\n79951 97633\n6260 75858\n10628 12054\n19942 26483\n14162 29430\n28003 58029\n42596 59467\n5309 47361\n46827 63088\n14718 95048\n32088 40632\n902 36816\n64370 96733\n11207 58872\n462 59051\n40325 91509\n2888 95696\n61 32241\n6036 11839\n2382 43563\n27108 49889\n46300 97938\n54143 57956\n25591 49970\n34792 99733\n19514 77410\n54380 76515\n8397 61395\n60297 84209\n8368 9538\n454 1504\n79034 86181\n25602 92546\n20662 60509\n9577 61104\n58998 62175\n60272 80996\n31890 50837\n30572 56858\n7211 96920\n65083 85002\n36968 80696\n57428 82923\n36856 89820\n7264 14214\n40465 87806\n57898 87852\n19573 45825\n16986 93748\n20575 45450\n436 71879\n24461 98501\n30417 34550\n31200 36332\n54858 71099\n31572 96755\n9309 89671\n29879 87278\n80786 98847\n34215 87495\n25190 54568\n4820 72631\n43881 78834\n5866 15774\n9029 47752\n44977 65122\n34767 40423\n58623 62589\n18992 58632\n5368 6816\n27643 60262\n1599 3721\n40968 48166\n10040 46124\n33262 79967\n64568 99670\n15879 29161\n4392 72829\n52339 98821\n3939 41218\n33307 77193\n11523 34588\n56012 65457\n75546 92842\n64917 90921\n56322 61850\n37135 67317\n23403 92355\n95016 98704\n93993 99413\n6363 9238\n40624 91914\n33220 89094\n55744 69437\n4803 76718\n22792 74567\n28308 62293\n61732 78568\n28822 95091\n20167 75947\n26410 94765\n6050 31163\n11160 21149\n188 35787\n55007 91612\n13237 78935\n68055 74081\n26343 57307\n2233 67676\n50657 68845\n24030 64226\n15720 64285\n25468 65235\n46283 52951\n34853 37446\n34364 98522\n11222 77549\n42706 50920\n53558 76423\n672 19622\n25270 32798\n7528 68019\n49932 56148\n18437 41659\n44412 71366\n8925 17669\n39296 99738\n20150 76150\n67234 78449\n18945 30770\n96837 99403\n27502 97633\n19240 53833\n15214 33974\n26493 95736\n13061 34248\n57278 80749\n32041 66370\n29377 69432\n10602 51767\n25253 56334\n75203 78803\n60643 74448\n31142 56956\n21373 64903\n43161 45063\n13656 25879\n36318 65015\n21578 31139\n2230 16465\n21610 73434\n2222 26393\n67487 76006\n53293 61571\n57590 84162\n36027 75092\n35170 77081\n3432 38780\n19953 45145\n13691 68199\n2044 66589\n19314 71510\n88339 91272\n11655 80080\n34342 70202\n40972 84578\n62444 63911\n33649 68194\n20778 25951\n9484 20313\n37222 59880\n42751 59083\n18334 26774\n15181 79247\n40440 56459\n8451 43043\n68072 77074\n12031 38036\n13734 26727\n10746 52228\n29421 63573\n71628 75275\n14001 20569\n42623 52076\n6904 19416\n24165 89078\n76039 93904\n63253 74206\n24035 77759\n34982 36153\n50504 82839\n58331 93385\n55518 97391\n71576 83171\n3426 23829\n42016 95688\n67869 70890\n17986 69595\n22491 60876\n350 86035\n3172 25275\n22297 62593\n62880 78557\n66794 94489\n13357 96469\n20575 98191\n9742 86972\n17175 46570\n32997 48639\n32265 85837\n4308 18470\n22349 78946\n46490 69272\n49197 59279\n70304 98055\n47625 99932\n74740 83719\n38538 45427\n34322 84368\n842 11589\n31153 99401\n44709 90186\n43126 75431\n23431 80778\n23649 47119\n6387 57623\n80109 98070\n23401 77488\n19293 64081\n45635 81037\n11617 99188\n11019 91232\n40972 70709\n90339 93252\n11952 60967\n14736 92107\n12440 24607\n52202 83763\n16057 24738\n8680 46137\n38185 68357\n38686 69337\n3785 74856\n81580 95549\n36654 52745\n4092 68035\n43555 63609\n9552 38468\n38650 69143\n72998 96533\n33525 67705\n47552 74629\n21182 63841\n14412 50034\n2646 59311\n8297 55280\n47180 58807\n69187 88568\n51255 75577\n7981 87139\n79901 86390\n18501 43826\n12984 88264\n30121 83951\n2379 67003\n41417 77083\n62828 69191\n512 42633\n28963 78028\n19705 91877\n68320 69542\n30670 41754\n38497 53783\n21924 26902\n12095 33025\n35659 56670\n25428 96242\n11054 40444\n2905 96259\n21344 65364\n9649 98316\n15225 96192\n35353 54542\n26101 44292\n15216 58899\n46299 51875\n84429 93409\n11025 45251\n51113 87371\n53867 70429\n24567 96551\n9652 48912\n6620 30766\n40256 57579\n37236 49961\n420 77352\n64895 79877\n10551 65201\n11420 43153\n1689 51060\n32915 42766\n9276 41050\n31168 95911\n17177 20352\n70630 95532\n10178 39229\n64090 69258\n7184 46602\n11379 97464\n35579 41853\n44335 88335\n24623 66353\n25310 99024\n5855 41410\n35717 42517\n23325 74005\n59298 79452\n16725 99102\n22158 55075\n50962 87490\n48009 76766\n27219 59832\n31763 75742\n46146 85378\n14540 48600\n1166 63053\n27653 71038\n19786 72156\n44017 68794\n2602 12528\n9692 13072\n22694 87526\n5761 38472\n15629 71187\n23723 68328\n18933 46232\n63498 68273\n7730 22360\n1168 32655\n9473 87732\n24637 55218\n10690 98272\n32899 50316\n10034 80569\n37327 57594\n20860 40608\n12543 58700\n53309 61300\n26405 29788\n6547 93407\n28757 72998\n630 44883\n46921 64881\n58243 70825\n34150 55823\n27299 49158\n14914 38450\n5319 11851\n32447 98727\n21418 49376\n9015 36031\n39181 95298\n53002 67589\n23136 55527\n22310 45895\n42629 77712\n10778 88256\n40101 79789\n23805 39920\n32940 79900\n46517 55164\n45527 57714\n30388 88182\n42972 99293\n39942 48130\n9614 78871\n21727 42635\n555 1200\n22276 34543\n3770 50188\n65863 80836\n65071 98832\n35497 62247\n48580 76805\n16637 34578\n27815 98046\n48843 70517\n27075 58624\n61289 67777\n26129 82465\n18511 54457\n43207 68451\n36570 39659\n76235 77392\n4420 50437\n1147 62387\n59484 62364\n4678 20937\n59899 94709\n30221 52608\n33293 58806\n51590 66446\n8946 70795\n22376 50171\n5386 23142\n16884 21319\n29432 70424\n10477 87760\n4793 25708\n4931 5796\n56453 97242\n7157 53494\n11046 16353\n1480 63036\n48176 82695\n89954 93915\n28749 53298\n14626 29670\n39453 94717\n10412 60837\n18085 30084\n15769 28272\n58304 84572\n50936 97972\n6738 66766\n13445 32645\n26565 95549\n64111 72072\n46631 61201\n33269 88816\n33937 39046\n59850 64109\n1098 62726\n12962 74092\n34040 90560\n68916 79204\n57477 85002\n52809 75631\n8051 86194\n51057 53923\n19386 22875\n68591 69941\n29585 88498\n24569 72286\n9546 76517\n41423 51109\n17615 74339\n87485 88642\n25850 29747\n28433 36822\n25249 77475\n32153 37259\n25970 44362\n38882 55366\n73524 78719\n10071 10872\n7995 88307\n1907 6117\n70257 82989\n64970 77633\n78373 96856\n49862 65343\n6016 11763\n28567 48783\n55238 82475\n58348 62914\n43021 65037\n47495 64220\n27775 29609\n32579 67105\n46323 83723\n12404 56877\n5600 16236\n2176 78634\n61965 65329\n65971 78869\n79295 98389\n10115 40270\n20569 91864\n68711 98121\n55385 76301\n11273 75739\n13340 60297\n49092 79535\n63059 90275\n18300 84697\n42428 76535\n31957 67329\n6542 73284\n19900 26093\n14042 15971\n14050 38216\n55810 89196\n14305 49831\n74842 76386\n4698 62271\n67603 87244\n49727 68878\n18499 67977\n24454 83075\n45758 63742\n70875 96674\n16526 56489\n18934 21464\n16289 47845\n33270 83385\n28029 80219\n43923 69514\n17651 68838\n9832 73122\n7441 73417\n46420 47948\n77799 80283\n24948 77382\n10067 70203\n34973 82975\n11401 90502\n45425 50865\n1017 38004\n89957 93718\n42749 58895\n27239 76820\n25386 30016\n59554 70424\n25136 93436\n43171 45017\n12811 80247\n9668 43669\n44467 85096\n84200 94486\n49135 88690\n14523 48152\n16220 74021\n2808 67505\n2584 44471\n30538 49667\n39558 85102\n10036 44828\n78324 81230\n16097 39189\n9330 52469\n8551 70080\n7293 27992\n26187 51194\n26911 32382\n45294 75238\n18915 38838\n13833 60108\n24693 91215\n933 12743\n6701 8280\n70707 94961\n18779 91336\n34105 58709\n33068 36975\n5131 86496\n77893 86196\n16108 33722\n9414 24127\n43316 78933\n22798 78416\n58031 63556\n34859 96469\n39767 46038\n67267 77706\n9148 74753\n64119 69882\n7352 29351\n60315 66193\n43071 75957\n53891 59158\n11166 96546\n7062 42545\n38117 67509\n15406 93998\n44967 54622\n39850 97318\n6336 22840\n42941 60287\n49644 69221\n3823 9838\n3641 52575\n36461 61514\n23735 51080\n63236 91773\n24721 44766\n21015 43951\n47764 99911\n36628 46417\n13970 63995\n25482 88479\n13544 56195\n9842 90414\n23486 73573\n27755 81587\n85254 99502\n70639 73133\n14520 97957\n77818 88144\n36633 99543\n4325 36709\n27575 77630\n23355 34868\n66858 70492\n43960 58362\n11359 24734\n54121 63073\n2159 19166\n69191 72565\n74709 79811\n9414 50696\n41483 66919\n53824 71112\n47819 74436\n11072 94778\n9120 42853\n169 41923\n30667 77253\n37145 51006\n7638 19736\n16699 31903\n28596 81051\n30200 80405\n26410 34216\n81308 89147\n5408 97176\n43699 67141\n13563 54575\n23986 62242\n20586 29759\n14256 36178\n15371 27342\n19285 65650\n19453 66191\n15097 43648\n16269 37156\n39754 84866\n15757 76967\n74870 88577\n8226 15609\n64323 92842\n34353 84934\n72817 73346\n9935 99082\n14822 41717\n36188 97926\n81928 86052\n23551 42098\n70674 88279\n1664 35131\n71295 75803\n89860 95792\n30881 31700\n44374 76519\n45817 51465\n5792 72583\n2302 49296\n27873 39831\n460 3255\n15794 48692\n24636 71289\n5789 29330\n15840 74842\n26038 53342\n10033 22616\n20699 82730\n36709 54736\n4606 28935\n54553 74666\n41027 89787\n14778 59812\n61668 73319\n54678 65998\n38913 60505\n7055 24892\n12674 62451\n76301 87443\n28718 30631\n953 99642\n21983 37564\n4873 32896\n10186 79502\n8501 16132\n28977 63048\n60833 83184\n47686 95875\n52014 66658\n25260 88389\n1319 18723\n63253 84050\n33320 83697\n85133 93977\n33562 69641\n55009 69665\n21755 49653\n12909 55400\n45523 70180\n39845 76340\n11067 65416\n6167 94031\n45642 88441\n12197 58870\n15134 51867\n68135 99242\n3846 51355\n35749 62655\n37123 94307\n80759 92462\n45404 51485\n16568 79644\n63603 70376\n10598 24543\n30269 76281\n12671 86328\n44638 71730\n34942 59266\n7461 23615\n51757 74643\n36286 71489\n31450 35683\n39706 81330\n63524 78704\n31532 47735\n55889 75497\n33695 84543\n43157 58420\n15969 27365\n22988 83397\n70290 79527\n57980 87524\n9420 71908\n38198 89130\n56277 82496\n27664 75309\n9422 46615\n53384 85737\n87132 98904\n4746 87339\n12288 23446\n75017 90925\n52326 88851\n20990 62363\n13966 15985\n56853 96827\n22776 25380\n71919 74949\n2119 66972\n10024 82656\n23382 75686\n17048 93659\n80215 94234\n55912 95981\n29041 74553\n48345 97547\n40097 87278\n35284 43136\n18001 40553\n7044 34248\n19771 26042\n69680 82864\n80086 87476\n48721 71966\n13732 73739\n27580 43968\n60557 74208\n55708 66724\n40280 84317\n64484 90985\n13917 50780\n78453 86956\n44276 91002\n515 11160\n67124 72696\n7846 52843\n22179 55060\n28858 62594\n76270 87711\n5529 96097\n7040 97912\n8307 44208\n27459 43432\n17309 54827\n1150 15864\n21778 71802\n37171 38837\n12893 18769\n12640 75491\n4596 56399\n12958 56521\n10743 12047\n39419 75502\n28481 33960\n80742 96962\n42596 49611\n874 94837\n33930 97228\n12518 80283\n43247 99207\n2635 32321\n32455 98156\n33563 69710\n21593 82456\n14894 53237\n25575 76560\n81782 91364\n57258 85974\n22681 36113\n32296 33458\n67788 77385\n8114 13798\n3453 98064\n17460 37816\n48838 62798\n22305 75325\n3199 94688\n27195 36090\n8959 21569\n3230 4672\n9505 24672\n11807 18927\n18673 37515\n15598 60894\n7168 28138\n2690 91544\n51752 52647\n5516 34997\n850 95483\n33543 80441\n18647 93339\n49598 54003\n20109 39436\n49883 96877\n42966 51903\n194 45613\n85492 86927\n28550 60175\n18133 38271\n58927 82804\n31730 56814\n28051 69032\n14929 54965\n11423 43933\n2466 20551\n10895 13130\n38129 86433\n47224 88748\n69106 75785\n51470 56692\n17301 36028\n30124 44140\n40076 92447\n15434 74377\n2370 62138\n19965 28186\n35851 81048\n7425 71121\n1946 95260\n35906 36643\n37742 71046\n64117 69561\n11736 59425\n85723 91101\n51891 67542\n56368 73337\n26446 78342\n61700 67408\n50727 87609\n19894 87696\n48042 93231\n46309 82269\n34809 69352\n52992 65709\n61787 86680\n63820 70428\n34231 82859\n37338 67301\n60551 93237\n24095 33645\n38797 56017\n54789 94702\n89154 97867\n28414 76607\n26149 40220\n24488 58043\n40223 59954\n67589 81655\n68481 80862\n33357 54916\n32922 85444\n1802 61452\n47383 71643\n43906 90609\n32244 65575\n33995 50873\n32791 33750\n66690 90703\n21939 61745\n36668 53044\n55699 76080\n10994 14592\n1620 45772\n12501 33409\n5621 80663\n46992 94382\n8267 48986\n24430 62270\n20322 99754\n66869 79325\n16546 43750\n22918 64404\n27252 60383\n9278 20850\n34054 51746\n23660 68879\n55531 80265\n27813 87642\n22113 42090\n45367 96353\n19312 19982\n53050 55531\n1780 71502\n36957 98359\n20012 25744\n35903 71929\n69803 70763\n33655 85827\n52780 69585\n63225 70500\n51790 84037\n86 35153\n2874 15426\n64568 85273\n70535 79586\n47160 60381\n40477 40628\n10652 77583\n30438 64971\n13343 58594\n12767 29101\n3517 77753\n14442 40541\n5768 43484\n7498 18296\n22277 67530\n25576 57642\n7443 85055\n2813 14007\n13756 86754\n60741 92522\n7529 73440\n62878 90546\n37654 66043\n15402 21470\n44933 45492\n22870 65706\n59700 78341\n32691 92674\n7107 15540\n58236 80478\n31297 85613\n70211 76867\n79121 80138\n27558 82855\n7175 43244\n6430 49417\n47616 99229\n7609 16091\n11146 81357\n43975 73870\n64309 88187\n60291 89734\n13736 46249\n7625 61847\n60639 71363\n72876 98948\n1910 90492\n8922 65947\n45363 88668\n9646 82988\n27190 79271\n3402 16239\n64215 71337\n35679 80175\n511 62605\n16066 38543\n13191 73177\n33390 33810\n38574 53304\n24001 25687\n27508 99803\n70577 92838\n8619 11752\n14426 14717\n81699 86939\n17047 83972\n13148 39746\n53280 62906\n34263 91187\n7392 58957\n46468 55067\n9659 53918\n80705 94721\n65673 75253\n33329 39130\n7200 81367\n47864 83280\n29678 36049\n4315 18929\n63489 81714\n64704 89662\n8507 99869\n37784 60530\n78799 82648\n51036 57768\n16666 27625\n73022 90805\n19363 63508\n2017 56021\n31326 83441\n51120 61261\n49666 81976\n30771 32409\n98294 98372\n9898 46982\n34911 96719\n42057 58058\n37653 74226\n22122 34237\n24239 45514\n71807 93207\n66607 66800\n86665 88654\n12151 22688\n68030 77110\n41005 42306\n7508 63974\n36432 86159\n52755 72382\n58484 61192\n34262 96373\n18411 91953\n61994 65810\n14176 63418\n3734 66740\n33927 62068\n20008 35130\n19934 57849\n43255 95765\n80876 82304\n6496 17868\n29371 57562\n27331 51345\n59512 65982\n75046 99784\n21107 25940\n33194 44005\n54671 71297\n93447 94366\n65799 80161\n47381 97168\n65842 87370\n54890 55182\n8092 32911\n65403 77636\n44294 61072\n24873 50622\n49940 79955\n37761 91650\n61795 81732\n27281 83950\n37337 92763\n23794 32404\n53224 79992\n15377 41381\n22695 56363\n70154 72432\n79408 82709\n54665 96465\n775 49045\n19699 44801\n75377 84408\n50837 94307\n53863 85902\n43434 56734\n57503 87690\n78933 83222\n77985 88844\n13941 75800\n8393 72117\n60358 88018\n27087 59755\n53638 73355\n3491 99237\n21955 97233\n44032 75826\n18891 62118\n33513 71120\n25120 78852\n32726 46134\n2565 4096\n40449 74359\n19250 21558\n12160 37636\n7472 53235\n14934 36862\n21910 36631\n25634 85740\n3886 67223\n19998 28582\n61056 84861\n34429 88502\n14265 62541\n39552 62784\n596 15082\n49142 83633\n4015 46760\n894 98916\n39879 95564\n42229 87923\n5851 6250\n25214 88151\n66236 89139\n13762 70648\n20502 42486\n156 19615\n32391 47340\n50002 88829\n28517 80851\n24340 73108\n1660 4850\n6356 8100\n85002 95614\n87978 92058\n8406 34916\n44996 73978\n61794 98541\n41709 41993\n12083 89915\n1505 29521\n72557 89922\n4577 80484\n50052 85746\n49118 58513\n11726 64064\n1896 30837\n63514 74902\n57847 72076\n1235 60126\n50071 58970\n17767 90631\n67289 79292\n10381 57071\n29527 68909\n16885 77811\n78908 98838\n3245 21304\n71539 83315\n7697 13731\n26230 72363\n12760 49148\n30102 45955\n31820 38105\n4588 73055\n90017 98010\n75995 91270\n79132 86634\n32292 71965\n9533 75325\n2417 33835\n11142 99175\n60941 76252\n36124 88635\n60475 93307\n14409 90523\n1951 57575\n7771 8261\n3300 4577\n10904 90976\n36926 75117\n29192 60710\n44848 98858\n20938 55606\n6220 98105\n60082 67108\n30769 33443\n25168 69118\n42382 53325\n4645 35875\n14557 74132\n34747 96547\n33230 97905\n95123 99656\n80923 97533\n51430 52926\n4767 99783\n15523 52395\n3226 56054\n8577 30999\n75094 88175\n49646 60498\n24440 33024\n33930 49028\n36350 46148\n52404 78111\n13375 69966\n40889 76659\n32423 94344\n27786 64371\n6687 44558\n37372 99464\n8897 12795\n39190 96872\n28431 99099\n5021 76834\n34331 80456\n4661 10892\n42174 99052\n5990 60336\n18178 19291\n67613 88750\n68004 77929\n20338 85815\n69912 88274\n61133 82386\n2220 40675\n5255 79316\n43019 90002\n1821 9782\n14449 40495\n7300 64435\n10777 20111\n31943 97653\n32703 84644\n57816 68982\n1529 67751\n43208 98562\n2611 97650\n7453 46869\n17773 45460\n6224 20692\n8985 52267\n51626 58589\n2693 90318\n23875 36057\n8191 95977\n6334 29001\n60279 72238\n25237 71154\n95701 99477\n32613 38138\n61518 76541\n41474 45349\n13263 52099\n33562 41840\n27566 56069\n10021 66191\n8208 46501\n58887 85951\n39572 48315\n42966 72268\n3384 28542\n55778 67462\n38648 49417\n10597 55373\n37561 74019\n76278 78532\n17161 36348\n67761 99171\n45893 82454\n10590 83750\n43547 58095\n28811 38746\n32273 96207\n28816 78561\n8518 96994\n76423 79113\n18139 57736\n2679 96447\n47071 47549\n96 73208\n52544 81467\n4852 9634\n32733 94047\n51565 69491\n74675 79522\n41956 43573\n2192 65863\n38777 77645\n6747 39664\n56978 81842\n105 16797\n35646 39759\n38066 73231\n14783 72578\n12034 99958\n1263 14693\n26181 41733\n42817 68232\n82358 84541\n62784 98999\n65260 86861\n50722 53324\n21533 67244\n40441 59065\n77283 85683\n22739 83778\n27485 66670\n589 54737\n61418 64905\n10590 85953\n3702 60685\n679 35143\n24295 55297\n3512 84976\n23793 87303\n64108 95741\n39129 47848\n28861 41452\n15332 60174\n41734 87336\n54394 70061\n29655 83616\n22887 44589\n10642 97191\n1315 43916\n25078 36722\n8632 85887\n74201 97866\n66517 84247\n36458 92959\n3191 11404\n37173 76397\n47896 53489\n13510 90969\n7590 17669\n7657 9746\n37417 55314\n53710 91343\n46053 70908\n30659 99703\n18673 87296\n42050 49596\n19411 81182\n2329 41997\n1897 22273\n7246 64867\n3727 95137\n17063 94747\n15791 83447\n11116 46699\n8822 74280\n48557 51554\n15265 30438\n69595 79263\n11608 94490\n53976 55737\n72649 97038\n20806 98151\n33323 55588\n39157 48142\n36806 91081\n44759 63367\n32956 35426\n8906 63650\n7947 48368\n13253 25496\n48282 71170\n34337 42412\n31165 95261\n20760 78429\n65750 70566\n52133 61220\n996 18053\n44613 95266\n16475 67984\n23562 64338\n6132 25674\n88133 99381\n51082 92630\n51584 59826\n54915 69461\n44046 54118\n13162 76922\n58394 67507\n38816 58593\n8327 95569\n28359 34407\n59700 83983\n2888 94824\n13722 63452\n4900 93999\n55495 60304\n11012 32356\n36953 49925\n28852 51485\n71824 90628\n16850 20130\n18058 95778\n19972 51373\n43013 56512\n3028 30093\n22892 84142\n38551 64675\n3387 47705\n8230 50745\n57724 67339\n51192 70010\n22573 48520\n97480 97702\n560 23612\n34428 44002\n25899 44792\n12953 21163\n19168 42827\n15755 20662\n29382 39747\n14617 67287\n46247 69316\n71159 98734\n13102 91965\n13401 71076\n592 37344\n62093 91589\n45580 93071\n39264 57597\n35640 54637\n6127 96661\n44580 55271\n33621 61912\n25362 45265\n39503 63733\n8560 53425\n53096 81159\n43140 82977\n25565 30948\n58762 91544\n85057 96502\n14191 38954\n32368 99249\n43699 46776\n76581 93637\n27783 93288\n44504 89126\n8990 96235\n76860 77813\n76010 88867\n9722 74977\n15893 46161\n2800 82562\n2607 95648\n6914 24610\n35797 88766\n46679 73944\n62732 82606\n40461 69569\n40318 76292\n37847 82512\n28837 35320\n5299 17980\n17634 52033\n31269 44368\n42016 48331\n11610 64842\n76963 86766\n49399 87781\n33018 61854\n57634 87020\n11898 48272\n9534 23298\n992 67228\n15411 71964\n59485 95320\n45972 97124\n74832 94733\n74956 96657\n35408 55965\n71764 98278\n24160 25922\n64640 89369\n51379 71793\n9010 85131\n32979 95371\n59608 69496\n74777 94828\n78847 83510\n32638 83664\n75586 92650\n16493 66737\n32006 98003\n62575 78950\n58725 94129\n62613 76149\n92445 92731\n46770 51278\n57398 84549\n44255 51229\n73172 94292\n37652 76551\n21900 58682\n84573 85723\n47904 83533\n4846 67722\n11353 95974\n32434 42575\n17115 46065\n35088 57017\n84269 92859\n75334 78324\n40278 41406\n83131 99384\n16130 78111\n57764 60315\n73221 75025\n83305 95396\n24232 38351\n7486 74947\n66673 71730\n65557 89426\n65582 81827\n6525 94422\n28935 94596\n85597 89603\n69405 72785\n12657 73028\n26706 26727\n1000 91358\n470 57032\n66802 98221\n23169 60540\n2386 88481\n82959 83532\n1045 42650\n63859 77396\n47493 80770\n43796 97397\n12652 28598\n69335 90986\n33311 79105\n33618 38228\n75081 92100\n21502 24920\n52379 59234\n42580 83805\n4281 88767\n13548 23927\n5558 28127\n29138 51208\n39231 96484\n45866 50459\n3282 21218\n50686 97939\n45165 68240\n31215 86984\n24568 58398\n7933 37329\n32788 48115\n18004 42012\n48689 99227\n24107 32941\n68610 93982\n19826 64591\n40209 54855\n17496 58670\n4100 50943\n47656 50531\n30060 43524\n20556 34679\n20710 65965\n4316 78900\n34507 66675\n21384 79517\n12193 97108\n59397 60823\n38728 56851\n3195 86425\n53401 78997\n5626 21231\n33223 75505\n11813 37785\n40377 50366\n39841 50637\n22560 46186\n9356 41358\n3974 54368\n2453 68411\n40794 66946\n11319 78385\n82377 88338\n39770 55634\n9422 83472\n3679 4048\n33492 60643\n80616 86339\n19812 92083\n27393 83462\n75656 84208\n2002 93846\n65620 87221\n42200 86553\n42633 47065\n3250 59887\n59063 61349\n28631 51646\n56868 75660\n47347 72374\n5126 68069\n40298 61860\n45454 82842\n5829 8452\n37033 62954\n77523 83041\n28929 96891\n28072 44352\n34882 77820\n52554 53052\n58091 89568\n21887 40635\n502 68250\n49111 88483\n45447 53938\n42954 62677\n47920 80238\n64680 66990\n74425 83475\n17032 35516\n63883 92771\n7920 56062\n50665 69140\n39759 50498\n18929 34969\n23935 79142\n63378 77018\n4409 46959\n19567 76038\n47544 56430\n59532 86072\n13363 93923\n33341 97715\n32324 94367\n5565 42514\n6023 89492\n40307 81197\n38725 69987\n31001 74412\n10072 33768\n1227 61312\n19252 41595\n52316 87973\n15015 95018\n29914 87441\n15455 25132\n4404 12916\n9828 91849\n3196 96222\n1227 48014\n21938 98752\n3499 91595\n8884 29579\n41200 52999\n11654 12133\n28495 92857\n2037 91196\n41220 73630\n4330 12068\n7328 70872\n13698 72950\n74699 95271\n47651 83819\n6624 81989\n39600 66834\n69365 70672\n60773 62766\n63403 97099\n39708 81202\n36939 46765\n14781 72546\n10116 78527\n63777 65601\n22136 34693\n15476 98750\n32282 61280\n25386 69919\n15132 78685\n66281 85445\n19079 37259\n21837 77356\n48963 99821\n87830 88893\n37168 56493\n39425 81855\n25472 63588\n63285 86733\n15726 67028\n4403 89122\n1203 57240\n43493 76436\n78003 97671\n21254 96534\n53818 67867\n2796 7618\n37817 89049\n36458 54329\n32633 39003\n15094 41603\n77227 85973\n13165 51173\n26749 65811\n64995 65105\n3078 44121\n6003 55606\n55538 74856\n3915 66016\n52202 92180\n2857 63049\n80903 89479\n62336 80697\n36577 38232\n36503 61724\n39746 39797\n68026 97469\n3797 65123\n16037 58355\n2726 72702\n36408 58550\n33486 71983\n62989 72572\n27955 95554\n9216 17634\n51082 81303\n5625 17528\n39576 58233\n3418 26691\n52929 79499\n34021 48060\n86101 88546\n14040 16282\n70506 84728\n13993 43893\n49514 54857\n19474 62882\n5751 81791\n33081 68386\n6654 33890\n33803 76967\n1358 37055\n1097 50200\n37060 96695\n87464 96567\n81616 97315\n2202 47660\n17824 34593\n14319 46399\n60204 79808\n8752 57104\n17623 24836\n9493 62262\n12952 72040\n7364 54374\n7764 94968\n26674 39001\n28415 85737\n81190 95288\n6980 38721\n19208 52272\n74424 97272\n7031 49450\n35413 44782\n16440 59905\n9883 19615\n83870 97828\n63779 72467\n16118 90852\n44846 83393\n15233 68709\n53526 79686\n50225 76996\n1407 74552\n51673 92129\n14797 62448\n17334 47601\n13923 91506\n42314 51901\n38586 97002\n43064 56922\n20152 49665\n9668 51750\n11408 94699\n58751 71339\n50504 67079\n13797 64863\n16398 50302\n14103 64440\n15028 70321\n43927 57264\n37341 88986\n49863 66516\n23914 94827\n38368 51947\n82248 98717\n38507 39677\n23094 65302\n51551 76373\n59079 92369\n7939 55866\n2491 38709\n1235 98625\n14267 73997\n62590 64501\n50060 53586\n35265 60032\n85165 88305\n51523 76139\n20032 26887\n24347 33692\n2292 70082\n36791 91985\n67499 69875\n29569 49909\n40036 78960\n13959 63446\n41427 78140\n29671 46930\n58772 88016\n3495 69780\n41331 95387\n46379 72301\n34653 62653\n25799 86833\n2417 31494\n50555 79541\n14689 98503\n13412 21035\n43046 73435\n42604 82384\n1971 75993\n62390 74798\n67611 94448\n3329 37527\n41086 57260\n11019 56733\n70149 75166\n41631 73996\n96449 97032\n34184 90119\n7328 75237\n9853 21652\n57857 62340\n38741 82874\n17634 32019\n69858 88813\n56004 68802\n40876 62973\n1442 80683\n16641 42509\n64270 71371\n15634 72528\n3229 46892\n15439 34559\n48940 65373\n19236 66912\n45969 79659\n51308 99783\n39827 93938\n58286 85948\n34539 66482\n15735 68964\n18296 59547\n12712 89665\n18950 46807\n10354 15434\n29935 71189\n8694 18660\n27450 42784\n28891 53882\n15373 62220\n15995 27357\n9717 76159\n4307 78221\n56998 84035\n20087 70938\n27493 97451\n61222 80375\n13357 78486\n55328 67298\n86520 97956\n32107 79662\n25380 86320\n71626 97102\n77906 79663\n12175 57367\n41598 91654\n48890 71897\n39702 79505\n31175 96460\n11807 83310\n14369 16766\n32065 84665\n15444 91938\n33530 58858\n8299 51078\n25563 40861\n5675 10685\n31375 43895\n10297 32424\n60984 68886\n3937 64151\n24421 35462\n33525 61947\n15363 83869\n4684 87684\n454 40126\n52456 65364\n19045 23401\n40007 98713\n93035 97357\n24439 75497\n26526 99977\n66537 68801\n51818 88690\n36012 95903\n6074 91972\n50946 90229\n34830 36042\n57685 94637\n3643 60580\n13866 50282\n52479 90042\n29542 60861\n9682 72217\n12699 37630\n25127 81334\n55293 58218\n60758 69435\n36254 76393\n86746 91553\n22203 94951\n51065 76488\n40309 61598\n4176 22345\n28390 61138\n45294 89693\n55526 86306\n4433 94296\n29290 34386\n24497 45643\n12307 30248\n11844 86801\n74082 81434\n80886 87089\n31183 54089\n56454 60163\n36380 80068\n26586 74704\n42885 93563\n33533 67527\n36138 99651\n48743 52159\n42367 57183\n16097 89934\n47211 51828\n7780 10262\n37029 41407\n20843 92597\n14803 34982\n8286 57514\n26498 57768\n39803 86887\n16011 48727\n27434 43969\n8480 44648\n56914 76982\n52282 88821\n21497 62540\n2641 13160\n18380 78407\n28533 86764\n24649 58927\n19493 48179\n43155 73452\n73142 91086\n27986 82948\n11121 90580\n4226 41082\n59870 97125\n43977 70324\n3822 64011\n88107 96686\n25553 62795\n22020 42581\n35819 98943\n53781 82281\n14902 60373\n22805 77264\n69212 71330\n44868 61989\n42087 98670\n50664 97499\n33845 91924\n9184 31001\n6432 83366\n44780 89248\n44767 79498\n75978 79796\n14156 80271\n31884 71788\n17038 29227\n7601 7681\n34651 70136\n27103 84264\n2903 64061\n38366 44709\n26608 81238\n3678 89735\n82773 88044\n67968 79085\n32376 99146\n14407 17907\n25014 96280\n53682 93742\n14023 96202\n34967 90480\n26804 52953\n15210 79342\n34176 98868\n53645 71946\n2507 20507\n34570 50840\n64770 81770\n16093 50928\n14805 25127\n7121 18917\n63808 71167\n20518 54389\n85557 92593\n9532 40416\n16741 56225\n41115 83403\n2573 45231\n20124 97013\n24216 33690\n33714 79227\n19466 32829\n24997 88075\n18236 55227\n55340 78023\n48405 58043\n31353 64949\n13758 59269\n40279 65849\n80013 98026\n24450 77803\n7937 60122\n68841 77607\n81380 91039\n15811 62020\n28655 38905\n7610 44346\n45004 91467\n27907 73974\n7645 19377\n51357 93209\n85366 92633\n60583 67624\n44067 52167\n13221 62190\n8711 58663\n44081 85986\n14702 80156\n60299 70906\n13056 51880\n9933 56439\n19065 81717\n26394 53862\n6072 10295\n51099 52800\n3069 49758\n1183 43292\n33653 92263\n28897 82583\n21528 85073\n17142 24005\n18866 28889\n52279 76796\n18426 39263\n31142 68326\n61740 71262\n35804 95503\n1665 11720\n58876 90888\n39233 72922\n24806 30321\n65696 69775\n23999 79145\n59394 70821\n25040 54283\n35137 65967\n24541 65997\n27246 90557\n13815 19340\n51807 79310\n28118 72422\n84869 97623\n12786 56109\n24493 70331\n12246 57105\n72948 79614\n24879 31208\n47425 61896\n47021 63726\n10788 24737\n67219 89723\n59780 70690\n46932 93673\n48710 86645\n22270 57649\n11323 34671\n6714 21616\n18259 82391\n20675 70419\n16921 84073\n71192 91019\n32349 45096\n9453 50428\n71479 86082\n43545 43758\n18538 48807\n45776 54437\n39948 76160\n50228 86446\n12691 68735\n62677 68992\n14480 70243\n35404 47890\n3329 5978\n76745 85612\n34360 42723\n24413 27249\n7788 77039\n39564 52234\n30862 90376\n36212 49152\n29695 84642\n12625 66220\n6396 49560\n16718 76132\n25629 41117\n51711 71743\n9309 78178\n25091 45677\n22989 60714\n84299 86291\n70805 91618\n11653 42229\n21133 68724\n40176 58693\n15907 77400\n1430 88575\n36739 44684\n46061 83863\n10964 23010\n17132 92320\n12345 71962\n54464 93201\n44166 61112\n30904 41459\n1716 14676\n1821 80855\n26512 31147\n28309 92923\n48030 98057\n40020 83362\n78246 87514\n24939 93266\n52623 88449\n12400 82442\n40037 91133\n40259 55300\n15093 36739\n57551 99065\n10439 85003\n37891 77983\n37179 91730\n62768 96371\n26575 97355\n42648 48520\n21853 96744\n26069 98730\n24776 67753\n57064 73903\n53487 60508\n9268 14300\n32827 41363\n70814 97933\n26787 76779\n54586 95452\n12970 51383\n49238 96806\n49772 60363\n94259 99039\n20068 55510\n5749 63189\n24181 33679\n42310 88674\n9422 83132\n3805 64123\n4602 69318\n66693 81978\n7966 14031\n32289 82150\n712 47189\n33072 85124\n13176 55323\n13680 96667\n38571 76727\n84593 96521\n37864 89129\n36323 81286\n56933 58192\n37391 53403\n17771 54031\n80103 90229\n24975 81437\n4554 56840\n12788 30528\n13675 91538\n41890 55620\n7477 8688\n23984 53606\n70716 84074\n24316 55949\n5761 30272\n61999 90226\n16957 94592\n14489 77835\n39716 80391\n47744 54548\n16640 26065\n19405 31432\n69934 88911\n58563 67196\n17836 23659\n5351 53552\n74983 95781\n35827 90779\n16750 52776\n29628 55995\n39135 63996\n27719 68813\n12708 57514\n33816 85147\n29025 72870\n27039 52755\n29188 58370\n29659 80434\n33588 73199\n58249 59258\n58102 64266\n33020 51029\n11169 43304\n55844 66304\n75421 95879\n65629 93424\n6969 99470\n22750 54580\n92361 99580\n67426 82705\n3038 77563\n9044 40586\n25273 95814\n44004 48326\n31153 89311\n47352 78511\n63352 91613\n14752 28623\n4586 80773\n67893 93687\n19435 52665\n60575 81094\n38929 72882\n56598 71449\n12497 53936\n34006 49633\n39415 74002\n46626 62458\n48364 72215\n42295 50578\n15854 56760\n10890 61508\n38623 43832\n55686 85855\n6557 37860\n50546 74246\n41339 95025\n26873 31582\n1100 82137\n38864 96329\n6158 52107\n51541 90054\n12892 24600\n9066 71583\n1174 85390\n73062 95671\n70314 74545\n24190 97183\n77882 81135\n55054 57977\n11313 27581\n24054 55466\n56715 83730\n21533 83077\n27387 38415\n34865 77005\n40557 62747\n21377 33594\n6574 96665\n16935 23437\n46628 73558\n13736 95778\n57220 76289\n6105 11986\n28166 49870\n77380 84393\n5067 6296\n728 56576\n9415 86725\n15984 62838\n19076 59217\n18571 41248\n47250 81282\n39541 61806\n39519 71102\n2682 90047\n11197 12760\n32507 47315\n54379 99624\n52049 95025\n56797 59650\n19009 95069\n11223 11268\n31760 51260\n87684 90234\n320 34809\n53587 75117\n27834 77359\n4833 21354\n18765 28384\n13448 31538\n82475 82686\n69408 75710\n55870 77098\n270 76418\n5018 27753\n42146 74956\n67978 79328\n66796 86439\n53718 60385\n78624 89039\n7603 90483\n87250 94971\n48415 78200\n28513 34213\n28176 56122\n22177 57414\n41036 53872\n43761 71675\n30762 67301\n21855 71123\n42961 86831\n14903 33352\n635 38977\n67530 89523\n12128 60529\n504 71084\n44524 87816\n13 91956\n24045 31322\n41382 46096\n8876 91012\n17723 25822\n19263 20098\n19722 44118\n23660 31347\n37031 51242\n31720 57059\n46913 64306\n63611 87019\n64024 83048\n41501 80147\n43452 94763\n15862 56425\n9967 31188\n33144 92585\n72164 88053\n25390 99167\n5449 49101\n47147 78959\n31480 71231\n33921 54987\n30041 73435\n62489 84452\n13015 61664\n18146 21312\n21044 78679\n2539 66492\n21480 66969\n62981 78896\n46501 68948\n17135 67649\n9441 88799\n15137 48305\n29583 64009\n3399 81718\n72420 86559\n61861 89553\n37951 96159\n36895 72886\n42325 87112\n22375 73233\n19371 40449\n16889 27615\n26685 48931\n13715 79599\n8462 84265\n63125 95710\n29049 56126\n81955 99972\n54211 86294\n10302 45682\n35 50117\n29584 71648\n87777 89024\n41874 86503\n9745 34887\n26670 78913\n35972 69828\n2326 26519\n73446 98963\n8316 43664\n50038 54951\n18240 68378\n809 39083\n37895 85930\n12900 55298\n69903 92355\n66179 90922\n28717 48335\n29885 38114\n78861 94678\n13718 57967\n58073 64387\n56751 74513\n30703 91265\n44430 46923\n52832 66799\n39687 68995\n45672 93883\n36237 60208\n5331 56848\n13668 57327\n21448 95723\n7832 96131\n5851 60831\n610 93532\n23766 36991\n34841 62242\n35259 85844\n58965 79272\n3649 91796\n21332 71819\n46734 82185\n32162 89295\n19663 65448\n85 57455\n79281 91052\n52384 82211\n39295 45082\n6439 87719\n33424 81923\n60799 96057\n31785 49850\n16845 69379\n48822 54308\n8961 67725\n7868 55296\n13894 35555\n70930 86346\n22799 71719\n82168 91972\n10005 91293\n88531 97365\n74132 98603\n13195 23642\n14826 63419\n59752 83503\n30443 53346\n36187 70403\n8024 19100\n50753 79225\n18375 73473\n25491 61881\n38437 66112\n14346 94309\n51051 98540\n26666 58646\n41767 58994\n19323 79464\n61500 62086\n10001 22394\n34563 38000\n20704 71555\n16822 22024\n14041 48453\n48060 90489\n70622 82769\n10660 69175\n19309 63463\n74849 89679\n40144 79849\n23885 76683\n14843 21047\n93271 97869\n16443 98487\n81041 94253\n54457 79495\n70254 91144\n33902 60491\n49793 73209\n34163 81960\n37612 38191\n55730 64678\n11487 94779\n70751 72302\n92614 98767\n20275 28290\n23559 96972\n50364 70866\n10369 34632\n12579 24235\n5763 54747\n44159 99116\n76756 80737\n38669 46340\n33838 83563\n74768 94551\n70569 88186\n57539 97881\n45091 70180\n9712 71131\n53751 57783\n35852 87285\n21543 30693\n39356 43143\n75200 95993\n79782 91191\n5707 84139\n67772 80848\n51393 80820\n25603 93424\n6244 74948\n5828 20630\n16504 38862\n6944 10984\n10342 90358\n20938 52850\n18017 91012\n29667 39576\n36854 68369\n2878 67917\n27454 62263\n74520 93863\n34890 57593\n27166 70941\n1723 57236\n39302 44364\n47037 93315\n83556 85477\n76695 79620\n5587 61895\n27776 74289\n23667 58394\n35534 42451\n23582 66745\n81909 92557\n58489 65175\n461 92174\n1292 10406\n27867 72677\n43020 76515\n8816 43378\n36292 60624\n32340 64595\n20659 43377\n36163 80150\n40947 46588\n96727 99794\n27376 70983\n17349 80117\n10443 21923\n26450 39675\n29881 38549\n1902 76234\n7129 48363\n4169 99169\n73053 93156\n14759 50824\n2978 14356\n9644 51957\n11824 68989\n34294 91613\n84175 92959\n41555 84994\n14733 37867\n78052 91685\n42714 58808\n14083 17377\n34524 55350\n5269 36030\n71879 80899\n16217 91406\n14597 84955\n67214 69484\n53766 82185\n3066 33199\n19267 37835\n67621 75525\n76820 85317\n30527 99285\n9826 76880\n66850 67244\n84148 94903\n24091 98673\n22017 89272\n51984 94589\n4658 31897\n34352 51311\n60579 99215\n18158 78063\n37215 93122\n8883 68131\n166 50568\n54079 86860\n21688 93861\n24867 34421\n10349 18752\n88064 88097\n18366 36332\n34418 64907\n22953 78225\n1884 11699\n28905 53562\n11383 43582\n18314 77383\n34691 70989\n362 51623\n6747 35478\n61968 95662\n56653 84287\n37797 65142\n19604 25350\n46434 98622\n82333 90019\n22883 58225\n75255 77250\n33189 43426\n56151 81211\n68493 79071\n79539 86287\n44689 74215\n25616 39801\n36151 88856\n29191 70521\n47853 82490\n39512 77708\n27822 42188\n16830 60556\n26490 92332\n1619 79997\n33719 97752\n29317 57412\n16622 21839\n55816 85052\n10109 70309\n40471 94852\n74722 79309\n44611 90468\n18613 44601\n20422 59291\n53084 64887\n10944 17315\n6446 74358\n70576 85010\n46017 83764\n45026 85239\n52793 85816\n19824 97286\n20097 29763\n11232 47335\n69115 82201\n6578 24167\n17014 49959\n11482 55233\n6536 57886\n10450 35056\n33127 50596\n41604 50199\n42069 55925\n54907 73801\n16938 80883\n34147 75351\n1286 31149\n52229 68040\n28907 85905\n22368 35454\n41010 87732\n26841 96389\n26843 30036\n13250 75791\n1970 88514\n76988 77290\n7115 88528\n2081 56874\n56272 84471\n26587 64153\n26940 75654\n12863 91382\n15967 71175\n61465 68061\n79690 81437\n36242 95284\n37344 78129\n61755 79082\n82857 96549\n2242 82394\n21323 82979\n49867 90255\n6552 18950\n3208 43886\n17670 62462\n29392 72775\n39232 60622\n46807 59004\n4828 56804\n17533 73589\n4927 18948\n12275 55483\n57193 61349\n62162 67999\n1614 65437\n20545 54061\n5072 52295\n24316 91559\n9320 80571\n28791 76915\n12794 92540\n54570 91696\n5298 36127\n62816 77319\n4722 85111\n24942 81425\n50652 65634\n32928 41444\n75250 78307\n48199 48284\n59704 74223\n37318 85547\n60956 70162\n82443 99138\n75261 98884\n17892 39964\n20663 71119\n2260 89572\n65767 75761\n9264 22582\n56131 72725\n19411 36314\n14447 29584\n8655 48726\n13447 64191\n49705 78475\n55640 79615\n15728 18280\n78076 95374\n8605 80157\n20058 53884\n38187 50225\n9490 54299\n77290 96327\n54850 78000\n39448 60060\n4305 60931\n20331 86789\n19395 77976\n4280 92123\n15511 98499\n39371 66282\n27521 77443\n25202 39761\n31350 46028\n21035 83690\n66986 73126\n9333 63713\n22804 55605\n45219 49475\n71890 81565\n7967 60021\n8413 50367\n60287 74508\n123 83016\n32059 71196\n217 98703\n90272 91200\n74956 75470\n25479 81197\n87037 91930\n67255 91697\n30117 98614\n45227 51369\n45695 61058\n27518 64264\n3730 50064\n51912 89221\n24636 70676\n62381 73024\n62986 94152\n14505 65721\n38694 44820\n64934 81383\n22645 32630\n60982 88552\n18973 95491\n819 12290\n21438 37913\n42932 46902\n35938 58394\n65623 80506\n21590 88646\n16149 27814\n4259 89751\n20539 73804\n54331 63822\n55667 74356\n42467 99069\n14651 95417\n11359 63755\n11982 73931\n39090 51799\n11977 28321\n70464 71021\n13766 37156\n33537 56542\n6732 72549\n42970 45119\n88691 89920\n6628 67542\n9485 37200\n524 15945\n81475 93436\n28726 37241\n17484 32808\n76581 84151\n23489 61223\n14686 78589\n31856 80557\n80270 84549\n47827 57813\n8396 29703\n18818 71731\n81145 88186\n1092 29426\n60176 77686\n87265 92827\n38784 56694\n21246 81627\n28498 94034\n12254 49417\n40045 70913\n28635 53377\n44016 61431\n15881 84195\n14178 29679\n36257 39006\n52363 74559\n987 93923\n10829 92764\n18613 77910\n6710 99626\n5830 10266\n7107 59580\n57537 76734\n53770 86592\n3543 4100\n3606 21575\n32763 65747\n18675 52747\n52848 76996\n30651 73891\n17583 38665\n72285 78959\n20384 96940\n35732 95629\n57780 58543\n1148 4883\n35229 88486\n7596 51128\n40823 70813\n20417 66438\n23656 42008\n62037 98721\n85021 85075\n41916 71597\n50020 99049\n17495 75380\n28021 34703\n74645 82209\n5585 27942\n12072 41444\n9172 11640\n53964 81601\n69899 92578\n16646 27354\n76335 85456\n48737 54544\n31533 35696\n61250 89991\n28452 89259\n77768 94867\n15541 39121\n44841 59278\n43373 52864\n724 85130\n2683 83840\n5159 38489\n14533 15880\n60632 62110\n39856 90774\n21106 75681\n42763 80954\n20436 51707\n10068 53583\n14293 56287\n36550 96381\n90479 99121\n79073 92368\n5392 73045\n41666 45422\n12193 53750\n64878 73527\n39461 68235\n91025 96841\n4693 81288\n28218 43425\n13508 15844\n45521 63772\n20172 38327\n94484 98328\n8117 31460\n94082 95257\n17780 44595\n772 40820\n1699 17283\n67744 92835\n46637 50092\n28356 43568\n19160 85697\n21224 77171\n41980 88450\n52435 71139\n11350 29874\n81155 86630\n25826 37033\n26312 74661\n22099 62577\n33049 91084\n3255 78011\n23437 73184\n75128 77531\n22666 79701\n43261 85733\n18390 29598\n19434 36665\n2868 27385\n5476 32268\n8729 78650\n29471 52052\n31089 89390\n30436 48815\n62568 74072\n32626 32789\n78016 92296\n82531 91251\n75794 84873\n86081 97969\n53403 87107\n33738 71399\n380 67586\n19945 78079\n60872 92960\n31288 97052\n39203 62191\n5684 45708\n34552 76579\n46728 88191\n17080 94673\n9554 81491\n44422 45605\n31195 77463\n22435 81368\n6019 92782\n12141 59818\n11347 80044\n13367 62537\n29756 42600\n49686 83472\n41056 88596\n30556 70105\n16285 83173\n12797 98398\n6343 53926\n29126 54552\n11901 89024\n30723 90010\n3574 78887\n42541 65613\n16701 85646\n72547 73474\n56665 62647\n67942 96068\n28329 62227\n852 79027\n4980 76060\n54965 72305\n4853 54347\n71947 98875\n58772 69894\n26459 92163\n75736 78207\n24562 37218\n49019 77179\n84571 93704\n4021 22036\n38368 48716\n34109 55231\n93737 96529\n37727 39881\n94326 99385\n75004 94525\n66899 70261\n11883 59509\n53860 91869\n33690 45912\n4019 25526\n5707 88186\n1227 71301\n32552 54523\n61679 97287\n45432 80699\n32300 47595\n13710 77728\n18754 34531\n25519 35577\n4898 7003\n55406 71864\n79806 90239\n55965 98887\n2580 90276\n10698 50738\n13719 93232\n46542 68132\n4032 16126\n13373 59955\n23046 69453\n5972 48323\n20679 45741\n2198 51908\n45618 90507\n61704 75690\n6839 70533\n18729 69475\n21057 83339\n19540 47340\n15874 74247\n15251 99211\n52679 58897\n42951 75181\n36944 82751\n29692 98808\n20275 56168\n10946 57614\n47234 92739\n11755 66744\n42005 58520\n41945 79308\n56984 89636\n51830 74082\n75656 89986\n2076 2964\n303 96541\n17065 55440\n42953 63265\n24301 63068\n2695 52677\n4970 12921\n3255 24394\n64227 96174\n4865 53809\n49075 76836\n28655 38136\n58388 60269\n9116 21722\n70558 73692\n35689 97178\n58218 89609\n21632 69507\n6148 52615\n34130 47882\n19531 59254\n64430 85328\n11225 39107\n14153 83531\n6500 17595\n9625 40388\n2628 94731\n90340 91247\n71813 85535\n69970 77606\n37401 55146\n7905 94078\n79595 81147\n32230 87966\n7255 52543\n41099 64580\n14231 94463\n67082 74376\n24841 78443\n75661 79834\n5694 15079\n50568 55958\n16230 64398\n17906 98324\n27237 58206\n14096 41142\n29015 64409\n4006 34415\n40004 79529\n25295 83190\n73199 83320\n2280 24366\n67186 88626\n9294 26063\n70042 93095\n27252 34084\n43513 79433\n27296 67340\n28261 93288\n9267 24890\n45637 59721\n15067 35506\n6609 19159\n67889 81196\n24870 44693\n72247 76648\n93354 96872\n22909 60112\n30173 69386\n75731 91052\n58146 87725\n53426 65519\n7596 62979\n11292 52580\n12199 60587\n4899 41348\n43719 75727\n16600 37442\n28438 85483\n45509 94195\n49279 89236\n5956 44961\n4851 82037\n47207 47516\n10099 12885\n421 15643\n21061 40816\n19707 48475\n22605 88319\n14842 26916\n59997 92584\n1699 14134\n9033 76336\n165 10207\n22712 36361\n7468 96956\n42625 52183\n52199 96784\n9551 50158\n6681 70028\n5982 89399\n37153 96042\n30040 34542\n2498 57242\n29706 56765\n61330 96435\n19126 56480\n70926 77498\n64135 74136\n20952 57896\n1165 3410\n60899 96916\n40029 75641\n30617 58651\n1289 72150\n3996 25773\n16047 79605\n34634 96514\n59414 95932\n33214 69593\n28429 97110\n15451 86081\n35184 73680\n40458 78328\n16715 68014\n26769 96664\n34272 45839\n14812 39103\n27780 74657\n66615 85950\n4061 56624\n64506 64959\n27045 83118\n9674 80729\n8181 59070\n441 50526\n61234 69825\n51020 66494\n66170 67737\n7482 8882\n45326 85660\n71774 85774\n38734 82289\n19169 25871\n21385 66002\n5952 88936\n22163 67716\n7498 85426\n37004 68765\n5432 75646\n28230 81920\n37215 97068\n87247 92175\n27456 65365\n1466 90967\n65949 74800\n32124 69636\n72605 86251\n73577 87712\n76838 94672\n9516 86861\n44155 63618\n14459 77086\n31696 89134\n71052 87020\n58085 92840\n21094 26268\n6872 7445\n36093 57254\n45353 52069\n65766 78678\n32358 62575\n22183 24178\n22423 52541\n17289 25177\n22835 70473\n4081 64225\n15756 87597\n35757 74978\n19048 35940\n39636 68352\n16271 47499\n25201 61527\n23013 66918\n33254 64394\n65597 81255\n59549 80574\n9446 12921\n60844 65675\n10485 32209\n13152 39260\n22991 91628\n32511 68202\n47996 99378\n1644 79407\n20759 47101\n56087 59779\n24703 39569\n33686 43480\n8229 73496\n7041 23307\n27584 70548\n5466 50262\n34249 63213\n19725 44729\n4068 66177\n69851 78248\n10969 27532\n56316 99260\n47045 53537\n38484 92564\n23821 70606\n28081 65690\n88549 96782\n37589 69138\n43426 78025\n10317 65870\n22021 98947\n49948 55047\n10155 66830\n14975 39853\n61442 89935\n48972 72458\n31100 35646\n8761 25351\n29091 83772\n27536 48439\n59354 65953\n3576 59945\n68224 98656\n32961 43382\n17987 93056\n26826 69164\n60595 97349\n62152 88479\n34244 64879\n5317 78414\n36872 53706\n69478 70198\n69007 72171\n70636 86555\n24405 79180\n12012 50909\n16270 23859\n40451 64751\n508 63666\n18777 85604\n4230 15646\n13289 88645\n12894 50082\n14601 35868\n9891 97927\n42109 91763\n3828 5662\n43810 71357\n31754 95888\n36004 81393\n1270 32648\n48558 66952\n63812 78596\n28347 36731\n19954 22376\n35995 48557\n41926 51873\n7031 50479\n54035 82000\n63897 80951\n61345 64935\n32638 35776\n5957 11456\n8571 30437\n40697 98182\n79700 84645\n23819 97383\n6742 33269\n56614 95439\n19936 88021\n34621 72260\n9402 78979\n32736 73421\n7835 35239\n5687 20859\n73920 96842\n37683 66230\n57319 58880\n42083 85842\n65536 66781\n46008 89597\n14148 94439\n19567 81782\n85885 96403\n37737 56137\n3232 94869\n64065 77153\n24212 77054\n55347 57330\n15390 64470\n21696 81689\n58016 65349\n65308 92330\n29141 89866\n19386 34778\n23716 64062\n15273 51822\n8241 92013\n37134 96294\n50185 91029\n15099 48104\n4929 64776\n13171 66605\n10242 25529\n6694 89642\n13386 34818\n28312 49869\n9779 38731\n62558 96731\n4497 42705\n75809 92717\n17672 83011\n81255 96509\n28654 96988\n21119 66906\n18134 88170\n76207 97868\n51149 64395\n34025 64881\n89127 96064\n30411 80625\n24265 46072\n9206 44309\n8331 79718\n47764 54529\n2585 47269\n3635 57919\n6253 55374\n66933 71281\n31319 91789\n85022 94100\n6640 39468\n34155 80260\n50303 88416\n20725 41779\n17718 49872\n25007 37327\n26392 53910\n61695 77801\n51497 56629\n911 82160\n5167 62251\n16597 31732\n75170 95318\n56244 78069\n56526 65338\n7673 44087\n74945 78840\n46983 70823\n35730 82818\n20108 96307\n324 54954\n4156 43197\n10849 67536\n3046 94917\n63804 94719\n15971 18986\n8237 72800\n67572 99860\n3607 29911\n53054 56923\n33546 46416\n77562 97680\n47773 78856\n42284 65180\n78049 80294\n52395 60813\n34973 75745\n26088 98634\n40208 67164\n36640 68373\n40793 96997\n17541 31917\n27103 78324\n8912 63703\n57384 94717\n52631 57404\n48452 91394\n80067 93650\n28707 87562\n9102 55018\n109 97459\n16122 90796\n23247 82655\n19748 41120\n40789 98179\n43077 73992\n1947 27581\n82095 84250\n2333 5812\n27264 32688\n60541 94288\n35756 68882\n26269 46729\n5356 32802\n54941 59529\n37029 44343\n41150 93114\n12494 32722\n28087 88324\n2057 83862\n49502 83596\n24936 69603\n20786 98225\n33951 96176\n52336 96000\n33132 76114\n12326 56047\n13556 40459\n64664 81985\n22415 56431\n55544 78504\n59992 94005\n42925 65507\n33911 82006\n64775 70237\n50251 68730\n70942 86037\n50539 58620\n63363 94159\n39339 70699\n19503 39666\n24540 24799\n16422 19012\n60177 97801\n67460 88804\n55711 64425\n17667 42598\n30705 64941\n97098 97862\n62927 99756\n77117 77872\n21795 84236\n23621 41758\n15022 74464\n47940 76657\n40152 65103\n64666 83667\n9001 89345\n5107 42357\n19165 92460\n39777 89077\n11016 31710\n48859 90682\n1015 86020\n5531 28383\n72510 93683\n39549 99881\n9356 80458\n4556 33197\n21582 89335\n29981 83451\n36326 57952\n2281 25294\n16574 57133\n69552 95271\n22323 64604\n72187 75163\n37155 73718\n1662 47776\n73878 85488\n50533 63561\n28834 61335\n17644 86163\n58348 99147\n45408 59923\n46123 92867\n33373 50972\n2850 10660\n43140 92724\n38686 53132\n55786 78947\n8993 98700\n95636 98085\n18538 74620\n1942 31026\n10607 11274\n49878 81934\n64374 73618\n29262 37937\n12846 49839\n52669 88913\n63031 75915\n21007 83666\n50760 71219\n23676 50702\n63387 66305\n90927 99660\n30783 83220\n11967 17729\n4578 66327\n36158 94176\n59257 81855\n62769 86550\n12126 99288\n21877 94704\n66474 83091\n45804 68895\n43832 60249\n17237 70875\n331 77002\n37079 50101\n61024 84066\n35429 80409\n5947 43593\n56927 60350\n10837 83778\n82552 90623\n15065 61673\n24607 93347\n58546 83433\n27399 58273\n48599 65735\n289 84976\n15706 66905\n82871 95053\n9605 81917\n6322 41354\n66323 97057\n13532 71406\n67529 73772\n12616 52916\n20705 92007\n50688 52420\n7636 63786\n28006 41665\n35193 59867\n35848 62847\n15336 98619\n29862 47280\n25147 98153\n38480 76329\n72769 79948\n15864 66479\n34937 85422\n17080 82647\n20081 62377\n12631 21064\n10868 90656\n57696 59560\n16757 72030\n51749 91113\n32027 84714\n21262 21648\n18448 57593\n58351 96824\n67451 74652\n22087 37116\n6717 71263\n42625 71657\n41411 64587\n40007 72212\n33515 87164\n13469 32221\n13133 46121\n57997 93547\n25604 34724\n53570 90814\n21905 32081\n55877 96814\n28729 32793\n1707 40281\n25337 45002\n5732 70278\n15266 82302\n11086 58347\n42653 93491\n4597 12138\n74276 95050\n138 80514\n76465 84801\n30619 47323\n9463 24275\n17742 85505\n25336 62077\n1353 86358\n57729 70294\n65222 66599\n12673 53849\n31407 76019\n67346 85564\n43148 73234\n35411 59742\n4950 82197\n23628 26677\n2847 89091\n78770 87051\n70177 80966\n1546 92994\n86354 87653\n20285 67984\n19110 50590\n16608 65881\n36974 94462\n61506 77830\n20115 26457\n48965 76607\n1570 10048\n34768 74063\n85569 96243\n2718 62468\n20725 65467\n43157 59717\n18152 99031\n44088 70626\n29047 42197\n16274 74355\n18464 84521\n51869 53823\n23033 52906\n19694 76400\n59738 70960\n48078 96903\n43239 75555\n1221 84680\n21567 37875\n61315 66621\n75751 91125\n36203 41013\n51470 96298\n37893 74880\n4134 19085\n5365 35915\n47561 49009\n20132 64193\n70517 89781\n44576 57803\n81894 96489\n3642 74018\n3748 71131\n39649 59084\n61144 97022\n22723 99589\n43377 83954\n44467 70951\n4027 70804\n31516 93165\n47955 81793\n23993 77745\n31147 52465\n40532 86016\n47620 91690\n54349 68720\n30494 86102\n22393 89106\n24023 91388\n65343 98932\n78777 99703\n59777 69465\n31501 61518\n46805 91200\n1271 29249\n15915 18206\n30805 70930\n15618 40759\n31993 60664\n48765 76358\n31119 68195\n31948 71981\n5612 14127\n26918 66040\n2639 53740\n59522 60053\n10302 88199\n42873 65916\n14333 18961\n5153 24408\n12649 29234\n23132 41170\n14442 67255\n1282 58073\n79889 91149\n28589 85175\n10017 85349\n12305 14847\n82455 92273\n26484 92594\n69558 99188\n8681 95400\n18305 22880\n18676 41004\n30455 31935\n27346 50387\n949 42500\n14912 42743\n3937 88606\n43743 95082\n25255 87838\n6587 60057\n45010 67108\n91808 99766\n59548 76767\n31217 99790\n2660 35605\n14452 17069\n3518 84440\n40560 48054\n18221 19112\n5009 31723\n88241 91814\n43294 94137\n31416 60268\n31857 38595\n75526 75709\n51443 99722\n2349 91452\n28820 29391\n50498 53768\n29429 52411\n31764 98177\n8242 28757\n19644 30240\n53938 77553\n22329 99726\n70124 97979\n2020 72320\n33625 61927\n41996 43567\n7994 87074\n28990 66077\n7858 64134\n41199 41735\n45122 71455\n8614 25170\n22910 33040\n29362 72769\n48495 53655\n10807 97074\n13621 90596\n187 13855\n43687 79642\n3794 27777\n4198 82707\n31659 94839\n56716 91980\n7905 64869\n20330 81872\n26692 28293\n14143 86295\n4421 53757\n25577 91442\n19646 97575\n10204 47548\n40296 40328\n89476 95061\n49291 57287\n11639 34763\n54036 58339\n65753 71503\n24079 70278\n19292 61073\n62938 75099\n60900 80206\n13933 32415\n4492 34691\n22224 72662\n31737 50784\n59221 61089\n71107 81407\n7457 75842\n67967 99070\n23009 72549\n23505 26995\n39577 41952\n62098 79805\n11446 87806\n184 75774\n10544 80147\n40023 83209\n13877 38700\n11406 54317\n32552 69676\n51327 79615\n55956 56489\n35161 96108\n32503 81580\n61392 79382\n21342 84405\n5003 29533\n9468 10291\n66767 68266\n15579 21542\n57521 79846\n29570 37187\n21970 48666\n71917 88242\n25655 57093\n88530 90934\n30285 97551\n47964 97864\n30664 63757\n64638 97372\n11410 57819\n31592 70781\n81650 97938\n67639 97236\n24001 56525\n13190 30705\n2814 27394\n45342 51143\n47570 96688\n54889 95064\n76214 81678\n9000 24983\n12211 72943\n15666 24343\n66409 80233\n15856 63663\n12443 86100\n49478 62221\n61295 66703\n38086 66636\n12250 82031\n13558 65523\n14661 96985\n35232 38488\n18986 28283\n25307 43321\n2026 62271\n17156 30228\n20699 63645\n19259 42153\n58376 97229\n26250 64892\n49810 99611\n13936 68617\n80585 98544\n44978 57737\n44965 81039\n3521 31722\n69020 71636\n21132 69565\n37480 53875\n11544 81334\n60247 67305\n22718 54476\n7960 27258\n7260 61414\n16909 99108\n27992 73466\n6435 16897\n13948 70454\n22119 68559\n22094 80779\n701 92675\n18519 96876\n2308 70234\n80708 86039\n17254 64263\n13348 72944\n21034 87892\n42707 89904\n13031 86297\n49598 66766\n16845 42714\n41072 65519\n60363 80740\n1144 81535\n12010 53464\n32509 84765\n73701 89710\n51314 72608\n31089 75707\n11974 17838\n25221 91399\n38786 39930\n5258 5679\n51159 74431\n34277 82121\n43055 71553\n11328 68198\n27570 81012\n19838 75863\n61206 84434\n1570 29718\n23513 38229\n30281 53780\n45825 66875\n5291 39111\n50221 90374\n11469 65103\n25152 31508\n8991 24953\n6641 55821\n38323 47242\n7452 40666\n49586 99010\n94872 99060\n17322 37899\n13757 80985\n5091 39518\n45177 49566\n13595 97552\n8604 27116\n37438 80936\n28153 42195\n72 89713\n17369 75571\n9130 53834\n37208 83418\n56062 98990\n9160 85059\n75746 96684\n83868 89653\n32840 79928\n29469 49450\n6857 12898\n5862 23731\n51962 61395\n64608 69730\n59853 84182\n7298 8465\n3217 49709\n37225 55663\n32589 45855\n71530 79818\n65077 74055\n27516 29788\n31831 44795\n3304 39838\n12017 48794\n25228 48605\n60455 77865\n18206 95764\n9033 36067\n29515 75674\n21989 26324\n10201 61356\n18997 82362\n50156 82652\n9190 46374\n27345 91772\n79283 98438\n52195 53049\n48161 82544\n42512 72761\n10219 26550\n18303 29844\n56398 89944\n2478 76382\n23366 79182\n81577 82061\n80037 88180\n78721 93238\n33560 97241\n69441 96011\n75729 77660\n59586 65091\n33856 89749\n9719 54885\n51898 80157\n19974 69756\n25825 87367\n41376 51719\n1257 45901\n6695 25768\n26096 26148\n11284 48835\n58980 97170\n38176 67665\n70012 80476\n2511 89235\n66149 71940\n78445 98062\n24145 80003\n20096 69773\n71737 99205\n37041 74600\n24882 66673\n39880 67381\n20822 26364\n29360 79878\n16212 50477\n2221 14384\n23977 97960\n35793 57053\n40734 81400\n44801 78504\n15925 77460\n44153 55205\n2446 82828\n43533 49697\n38489 71704\n74562 99723\n33204 54383\n32377 82512\n17002 94757\n40708 52868\n41191 62195\n55383 79336\n12764 49996\n25125 52052\n472 15031\n26896 30882\n3984 51226\n88670 96784\n24351 58836\n21092 31421\n38376 48523\n42871 48425\n58178 72321\n38128 75280\n22118 57979\n25449 92816\n38012 90240\n50130 99371\n30074 39255\n26064 40363\n69603 94705\n13188 45237\n81030 83315\n39700 41704\n49447 85445\n8062 98114\n1669 46474\n25003 31185\n81711 85590\n84420 85205\n34212 42032\n13213 81035\n15481 71621\n50811 64237\n19803 69499\n8561 70833\n54531 86432\n59370 96962\n24434 84865\n28967 92876\n16679 45498\n36134 45522\n8628 8795\n16887 60327\n16526 38427\n61284 65414\n23204 27748\n631 7128\n19639 46742\n45655 68560\n17840 22183\n55191 96354\n5400 19984\n1672 73764\n50940 75227\n28354 49372\n86971 98332\n6703 64263\n68709 73219\n72849 75121\n75879 99923\n64743 94387\n61014 94901\n66312 98463\n38995 41986\n911 3782\n83289 99768\n29704 87810\n28510 95206\n33452 39220\n7796 48662\n13176 14109\n79274 83439\n11365 79283\n28547 79128\n3721 94604\n7127 24520\n49746 69318\n19296 98867\n32177 36977\n7931 38259\n35358 48411\n15027 95367\n74132 96682\n69895 91294\n2687 72584\n14477 55394\n52030 93473\n6612 39971\n3718 44202\n83308 85800\n30310 95902\n79613 95633\n16577 75048\n10637 99660\n17337 80569\n62981 89993\n28109 65829\n26747 65663\n64422 79005\n86830 99661\n23107 67709\n2088 41044\n15008 57815\n50603 68628\n27223 60913\n48789 92775\n51024 57735\n44709 73438\n1133 54919\n13217 56472\n93206 97838\n57818 57980\n4971 90920\n4881 26445\n46450 77127\n15999 35127\n57549 80538\n24697 95746\n53140 89676\n16268 66166\n15474 35604\n73808 88275\n89320 94242\n30770 72335\n21905 98770\n8469 62089\n11954 22292\n9171 29161\n56253 56366\n36625 96184\n91283 97451\n62453 90060\n8488 80718\n2016 75142\n10739 19073\n26097 29146\n14917 67863\n61231 78030\n18781 74975\n20906 31456\n69817 92441\n38544 88113\n8498 60038\n2615 21302\n66499 86426\n37293 63596\n51477 56166\n18398 75422\n7598 54286\n648 99149\n36587 83225\n22695 40810\n1356 94365\n80012 90052\n17035 95202\n56411 85151\n28150 65802\n41723 62880\n48348 72152\n27821 39398\n6209 89163\n13386 75270\n55520 63685\n74195 80055\n12042 27790\n31795 50975\n30686 64057\n5353 50238\n59609 75060\n10353 35880\n33718 38843\n59170 94552\n39193 45316\n59114 70936\n15169 48936\n57098 78739\n10937 11347\n30824 37956\n13961 67004\n4297 12011\n75778 88557\n27468 53697\n45924 81928\n27349 99389\n15392 42372\n21239 37350\n26474 27737\n5362 43702\n22804 99846\n40260 94941\n25070 98072\n9373 46158\n32242 70873\n67383 96986\n3153 80921\n3334 21996\n54707 55470\n35989 96690\n37256 92732\n714 94300\n24900 54006\n26416 44696\n42642 49318\n24978 28363\n45345 88346\n62404 74563\n45927 72507\n821 17769\n42378 97224\n33636 41875\n50869 66529\n47706 48363\n6491 80896\n13661 67594\n49860 51766\n29549 43350\n94900 99897\n36549 81497\n26691 50791\n57695 68961\n60041 64680\n39744 78370\n1197 87839\n22804 39317\n9515 65312\n1886 11801\n7184 76180\n43371 45768\n6836 17247\n7310 57158\n5970 8569\n12259 77926\n55138 92277\n9248 74130\n37592 81547\n37149 85492\n46093 55047\n13896 79751\n7640 81891\n25502 88469\n49652 64318\n55204 99914\n17899 66907\n39458 59380\n32702 64776\n15132 71039\n71305 88934\n40031 42187\n35839 68043\n35704 91011\n31667 61791\n24487 50678\n39499 51189\n49323 82397\n36620 83079\n29004 63902\n81270 83190\n319 18207\n41800 93940\n19848 50875\n64815 67490\n2248 49700\n2276 6600\n45668 55774\n2516 24738\n27241 61891\n13632 69703\n1107 92886\n46825 86530\n81970 89627\n648 25527\n6714 63774\n21847 46342\n17994 53974\n32019 52934\n29483 83388\n58612 89529\n7467 72666\n4211 43487\n79584 94413\n59542 87700\n66640 91851\n36798 72571\n40002 61837\n23539 80711\n13454 54460\n64329 77350\n4550 45493\n45953 55471\n444 74387\n24449 31949\n46569 68392\n26113 42332\n54725 68395\n16506 56309\n23417 47656\n86749 91183\n7580 58847\n68377 90890\n43716 80991\n12143 49259\n36933 45368\n36621 86353\n5151 37822\n40193 46410\n1845 47278\n19105 76392\n52035 83642\n71623 92299\n56891 82436\n78981 81895\n37390 80949\n5213 5737\n4131 15135\n76078 92012\n2245 20355\n25001 59197\n30450 45695\n24444 42961\n34374 78494\n13674 62101\n48396 91245\n62831 79944\n22980 34955\n72743 98904\n67123 79994\n31465 38780\n25127 65868\n19384 31535\n37363 51030\n57569 77320\n31479 88443\n55085 84703\n30463 52333\n82036 82771\n25920 83720\n7652 14723\n13996 23504\n6015 92982\n1156 42079\n44986 98798\n16285 75282\n90693 99060\n61716 78765\n6375 17723\n22528 82255\n73072 90343\n26721 35112\n27577 39626\n57929 68219\n11286 23970\n14184 33826\n49100 83725\n23426 92435\n29223 76206\n10093 87863\n23179 33522\n43118 50528\n10421 11647\n76779 90218\n33976 79994\n34310 56907\n29026 40174\n32641 73906\n68911 78550\n55676 84339\n12959 72305\n31107 33229\n86306 95499\n1687 70390\n36501 83133\n69353 90570\n66440 80388\n9703 47991\n65537 80287\n29154 50006\n27760 28832\n4807 49996\n23545 57271\n6236 53117\n3196 66145\n2295 52868\n19359 91120\n14800 35846\n15523 72963\n2038 23290\n3397 39537\n12717 15920\n9412 53826\n10459 23356\n670 87738\n85641 92305\n76560 88141\n11340 49494\n34336 75906\n29729 76159\n70785 98213\n31652 57553\n97723 98190\n17547 95540\n56906 95185\n47237 65488\n50027 54404\n17750 76673\n26752 43325\n11548 19674\n50015 50723\n7661 45663\n7006 18035\n43244 95682\n34647 37148\n93825 99148\n64022 71643\n26569 95560\n9535 17160\n12654 73618\n52121 72002\n51432 65399\n79429 89912\n50704 75173\n24498 51871\n31979 63232\n35892 62102\n30783 60496\n45635 97885\n9034 43292\n52729 98645\n38558 81445\n54494 72195\n19664 29538\n2467 50189\n61450 82918\n26388 74959\n26602 51960\n28 49805\n19967 74377\n43839 92151\n38134 69458\n15196 84695\n8518 58584\n60015 78855\n68 76827\n7910 41073\n44696 48386\n50094 77346\n28749 38476\n15438 92922\n54059 90158\n64386 69085\n88786 89795\n57541 92513\n37115 80685\n40150 90290\n6663 93421\n12645 98154\n42882 79355\n1761 43907\n69742 71262\n22722 70149\n42064 68478\n50920 60876\n65184 87083\n18965 51273\n13556 25122\n10510 14812\n28648 92045\n33475 42341\n14075 62908\n42906 96529\n10161 37293\n6627 13607\n47066 88258\n32197 85876\n3171 35720\n1995 81163\n56901 86030\n82656 92241\n45939 89457\n4567 59074\n48264 62858\n50557 61060\n48264 93772\n41045 49497\n63839 97320\n28904 32031\n35524 95683\n65234 84281\n14489 49047\n610 11081\n46253 71621\n16748 75371\n81460 93071\n23482 85484\n10280 22495\n80061 80755\n30726 84275\n44973 63648\n34722 93966\n39231 57536\n34942 45255\n95108 97615\n38472 69450\n47600 69431\n8419 12541\n80189 90433\n42207 91267\n25547 95562\n30814 79991\n9682 97357\n9399 13240\n78916 85869\n69792 81902\n12138 39421\n85512 94077\n19149 30366\n31374 99184\n59645 71331\n73755 89742\n26075 39157\n70176 83381\n62573 75782\n9053 85577\n76004 98536\n24594 70652\n19382 94555\n46844 92981\n9226 94634\n60097 79300\n7179 13155\n51325 58384\n10101 94562\n7711 12522\n68325 94456\n7888 90161\n10514 65252\n44804 54948\n74166 83044\n48235 99670\n25897 56670\n41029 92456\n14884 49489\n47798 70649\n66411 89798\n40278 66410\n14756 32446\n65271 69262\n28478 69259\n18446 80962\n39027 92720\n19515 99229\n19767 45543\n53616 66772\n39177 51836\n30254 36612\n54460 93130\n58947 96683\n38415 62201\n73066 89584\n101 40146\n7625 50227\n2505 77782\n32452 71503\n9647 61039\n23520 76892\n63851 93520\n70210 95228\n31485 57294\n8598 42267\n92462 93403\n61152 82559\n5171 90029\n6195 37976\n31254 45426\n52406 58663\n10736 19553\n7324 80516\n57776 65100\n3868 24163\n607 66572\n20568 65549\n27342 66457\n17514 25306\n10150 93670\n44953 88930\n7657 83211\n33261 65418\n1925 39679\n8691 37565\n32309 92182\n92364 95504\n14907 80890\n21771 92739\n62029 78461\n46519 99730\n26343 58994\n29318 60978\n47800 93381\n24767 38634\n34947 78572\n61773 99676\n23487 68912\n18814 62124\n25965 68739\n10822 72941\n53543 61684\n66764 83256\n816 94227\n53332 53440\n33712 46577\n49561 76898\n62007 89658\n8001 70673\n9301 68228\n8603 34602\n22239 33722\n60413 70993\n29590 62564\n37964 85896\n21145 78689\n11222 72826\n62283 75957\n14295 61087\n13576 63209\n48145 64958\n1455 94329\n47622 84385\n29697 76948\n5146 74957\n59582 87273\n6997 91222\n73445 75274\n41557 93044\n1079 8412\n35574 71695\n54335 93813\n16642 70538\n81253 86076\n11012 41743\n18952 96925\n86289 95832\n5202 91396\n43893 43934\n15812 89995\n5467 78250\n80263 86819\n40510 88774\n28979 56251\n44974 89932\n4529 60668\n2700 27404\n54809 95081\n53390 63771\n41861 76909\n16795 68062\n18412 19767\n11470 35287\n81941 83835\n6369 22362\n17414 94492\n44056 64233\n49782 73515\n602 96417\n822 42669\n5407 19813\n29731 33592\n40126 79929\n62940 74411\n13360 31473\n50041 74419\n9156 16563\n76425 87503\n63966 86018\n18776 30535\n85227 91761\n17024 25750\n302 12557\n11813 24745\n16700 24329\n41644 62807\n69187 76473\n24834 36336\n8527 12787\n972 3632\n46008 92128\n83780 98735\n83280 95557\n14099 88670\n3630 56811\n51346 82265\n56864 94213\n31290 92282\n7643 68987\n61570 71135\n1989 57227\n33471 75190\n71995 98313\n29223 64967\n2156 59925\n41752 59497\n19260 93502\n18498 93537\n46992 48259\n11392 80630\n25366 89110\n18835 19574\n78516 85556\n48276 78226\n6283 49321\n21564 43867\n18852 88487\n70889 71493\n49158 51751\n87312 89598\n89210 96858\n74639 99776\n58249 95373\n33022 93058\n41520 91349\n49365 57754\n12141 49772\n37072 74277\n22995 94014\n77272 86569\n2415 83163\n22182 69061\n6292 60657\n107 26866\n62988 69822\n77044 79178\n21680 58443\n31262 80786\n42159 87586\n26651 96609\n73250 79564\n5265 9283\n19005 88402\n45977 68833\n31897 77805\n49289 61127\n64509 91110\n71459 79034\n70470 72550\n82198 93025\n39613 73533\n11321 99588\n69681 78686\n620 66784\n5429 34459\n22514 38262\n37388 51695\n20092 54523\n20132 70503\n14609 69082\n1178 94520\n32334 65134\n29230 74609\n11461 79513\n66010 85936\n25550 74622\n94643 98358\n51227 90606\n81997 82541\n34698 36339\n39664 71992\n1746 71781\n1141 95699\n21454 97859\n37676 64757\n8696 17540\n2163 93388\n70828 95255\n29865 95486\n11814 42722\n43824 79556\n25119 81174\n945 92235\n1196 98566\n5760 8212\n25093 35585\n7712 9712\n81140 97005\n14601 24206\n16255 49148\n41427 63468\n2271 3163\n32204 40343\n65476 89451\n67405 75300\n4961 33740\n14937 17964\n4315 22506\n12224 41135\n29087 41840\n33866 61475\n60484 87933\n29921 85391\n66727 99954\n38164 54772\n17393 39028\n65283 92464\n73620 96702\n12637 24549\n59014 59892\n24017 74203\n7278 92731\n8056 10604\n31822 56583\n432 22822\n81147 93943\n33678 50129\n37189 46408\n21558 85528\n59227 93685\n43632 84171\n28164 87436\n47618 86967\n41405 93036\n21413 42578\n31235 38047\n83628 84980\n34659 46235\n19046 97738\n17579 73581\n75704 98884\n20217 96932\n51155 67851\n11415 52427\n1861 4511\n19730 45998\n36206 79126\n20022 61565\n44438 91453\n64305 80321\n26692 74030\n25164 74784\n25474 78969\n47505 48801\n42827 84697\n19188 67170\n88040 92759\n36947 75205\n4925 20315\n6698 53341\n33556 43180\n8567 92431\n74971 76961\n778 82710\n20388 60304\n26986 89223\n21690 22502\n7089 81083\n58476 86158\n5221 90811\n395 63794\n43947 47171\n60416 86227\n70121 90571\n26831 51147\n41398 96976\n45445 85243\n19952 92247\n14940 97460\n29823 44019\n27211 75877\n9225 38938\n50586 98322\n1348 25595\n38403 46231\n48152 69513\n59827 94852\n45088 48510\n53962 80223\n32430 43558\n86634 95065\n44627 68615\n39862 44002\n8580 12044\n45708 97344\n5479 98214\n43525 56976\n58069 75986\n371 80539\n52518 85697\n41854 85216\n60093 94169\n87671 98167\n21589 67014\n17240 84896\n5347 92846\n28162 56016\n13237 99004\n93718 97203\n34126 62751\n58530 77397\n13421 43130\n30989 98364\n83332 86196\n72271 90498\n8307 65981\n7712 73178\n27404 46841\n9257 94338\n54247 88287\n50792 56540\n51223 67176\n4937 69184\n34536 77875\n35158 59341\n27255 84336\n20519 66482\n54810 95202\n15271 99061\n67929 71322\n49094 84859\n70347 80424\n4645 33829\n4482 12765\n17389 74898\n12297 58728\n44180 94464\n4794 39103\n46718 94630\n94684 95188\n824 3611\n22475 52851\n7589 49141\n24820 37963\n70106 76468\n11715 21909\n28911 71283\n8450 64142\n3659 12113\n1918 18217\n74225 98669\n21455 71827\n69590 73876\n24966 28397\n45890 48793\n63537 82771\n67267 87973\n14098 58631\n10114 26856\n40277 83547\n70562 74629\n51747 76212\n6818 57254\n14044 96123\n616 96683\n7284 58430\n26306 95177\n6341 40066\n73472 89334\n10219 94509\n4404 41262\n16830 78223\n23480 91461\n50541 92739\n36395 39513\n32710 96816\n72323 94753\n67351 80248\n13646 75597\n13435 86921\n49307 59748\n2396 67442\n23012 58022\n61197 96445\n36121 40802\n11774 18693\n39134 55956\n31098 71639\n27460 37587\n22813 51784\n39491 45260\n7622 11610\n40969 99645\n56424 60865\n8482 18773\n4652 76938\n3345 18729\n30414 54176\n43739 80829\n43081 84069\n43715 70579\n1008 29375\n40036 91083\n1847 20715\n21384 43654\n22301 30175\n47835 82590\n21618 25792\n3443 27480\n41 19898\n40352 90881\n43730 94879\n7156 42394\n19190 50700\n2950 18086\n80773 88336\n62222 83615\n33576 94890\n13285 84957\n53871 62850\n13758 82746\n3202 78769\n7516 48374\n29905 63290\n64335 86748\n61671 85034\n25508 96320\n44101 59043\n2871 83416\n51841 66017\n9687 89914\n58721 90044\n26442 39579\n20093 82114\n14944 30679\n13327 31190\n8632 62499\n20994 60155\n84492 98267\n3313 80450\n89572 93893\n18196 24654\n52113 98164\n40313 56106\n45817 46006\n52899 88546\n41279 52980\n15699 80123\n2973 97378\n32043 52216\n5385 81933\n39583 97851\n9944 85277\n27268 28844\n1071 44927\n58046 92332\n16060 45194\n7591 46919\n21719 75776\n666 45041\n53370 61904\n48054 87568\n20633 47318\n19223 60700\n15933 28532\n82247 91531\n25984 95220\n17350 90455\n16908 34281\n59339 64613\n23904 98615\n55008 94929\n55761 68475\n16847 20798\n15717 94055\n59082 99773\n5217 70809\n70218 97467\n15206 31974\n12657 45517\n19890 82958\n33680 87061\n27573 29771\n31928 40777\n32810 68722\n24823 83026\n55367 84285\n51741 77036\n43084 89505\n58783 70814\n50680 63727\n4308 66852\n5373 10200\n8356 31127\n17385 31713\n73456 92046\n82700 96873\n5152 79109\n47155 63193\n18247 46662\n50704 84282\n11186 81248\n50135 79120\n63298 66679\n35256 42062\n66017 69553\n21683 96279\n10959 31904\n37749 57525\n4867 27009\n74561 76182\n278 23671\n9684 20048\n43364 62530\n53123 62926\n11347 20319\n35815 58243\n54729 62612\n41865 61356\n58040 82341\n41302 77555\n53007 98838\n43640 83996\n41885 52327\n68179 90376\n74680 87860\n14091 55459\n46060 48255\n29372 69964\n29278 51493\n67842 85244\n51154 56224\n71474 98380\n49124 74413\n31848 90173\n25868 97046\n3246 39708\n258 97234\n76456 80409\n8991 57210\n1279 25629\n62006 78673\n15760 67984\n15991 94923\n17409 44088\n69858 92327\n279 10101\n21561 90357\n57286 69315\n24019 92185\n20764 43713\n51348 69167\n4031 82551\n65025 72482\n52219 74612\n8223 90188\n20631 90332\n27906 34858\n10465 69943\n36642 45853\n43549 63613\n2100 83699\n12461 42214\n25230 87081\n14608 60514\n23728 56187\n29179 54571\n41375 58252\n38623 86420\n37412 78412\n33435 47843\n16052 44285\n33483 40523\n1113 46839\n15126 89990\n9180 24662\n13835 71572\n39093 59352\n34698 96699\n13808 68136\n29486 37654\n33255 71089\n73110 84836\n22905 24910\n26501 91879\n24652 91323\n8978 99670\n26973 28601\n14395 27748\n38536 42221\n33470 90351\n15045 28014\n39256 57259\n42681 68132\n64849 66684\n55992 91992\n3523 11220\n19540 22244\n40244 66532\n24944 86014\n16015 91043\n36304 72958\n34390 71625\n31437 48557\n33730 91745\n10366 56696\n5402 46358\n74024 86841\n68044 85915\n43482 54786\n40236 81912\n7117 78705\n81880 84996\n14302 64168\n22942 63224\n58892 86978\n90886 99535\n76789 95341\n14024 34119\n28306 65695\n80612 97244\n36290 43961\n19549 81615\n18789 94350\n1199 26280\n24828 70174\n12160 65914\n56635 99287\n1711 7060\n28976 53650\n23601 35015\n97196 99628\n4933 18970\n53842 98760\n42175 72368\n6189 29137\n948 52512\n39866 59686\n66346 79198\n59150 84592\n1625 95224\n59402 91779\n39282 65774\n1897 65488\n37414 91566\n41064 74663\n30995 65009\n30229 84575\n62180 68444\n8196 46964\n25247 36138\n18303 29973\n12600 99646\n11315 80646\n4840 34813\n95569 96622\n87809 98181\n45163 93859\n63534 63713\n4376 85421\n28276 66193\n21556 41849\n73572 82339\n18571 84377\n84060 91718\n3264 44910\n88662 91915\n8404 11302\n17406 28653\n10526 53452\n75873 82082\n18342 75910\n59527 91887\n4618 94590\n47118 90263\n17222 34722\n74491 97255\n81048 81561\n70541 71038\n49784 85025\n21739 75613\n31053 75713\n30313 67691\n18267 51726\n27506 57572\n34746 39594\n19756 48488\n38481 73720\n633 91603\n47789 57988\n15752 42540\n40693 46708\n50881 84974\n26374 28832\n31917 46513\n27808 75107\n78576 85819\n41242 69171\n13348 30552\n5707 63353\n89919 99001\n46723 85530\n48979 73066\n4614 62628\n33990 41909\n35326 98956\n48303 68211\n27337 41432\n22793 52226\n13958 83000\n27913 62701\n83986 89104\n39933 49386\n36067 38765\n9960 65052\n83387 94753\n76495 98435\n72334 96827\n9336 20909\n14635 85756\n47167 81375\n87115 88372\n52018 58468\n50619 91237\n36391 64360\n11162 74652\n4945 71622\n6128 93718\n30221 92559\n66973 99324\n32911 99434\n49593 95227\n51359 54375\n6097 33117\n24412 47859\n41915 75344\n52588 55487\n33488 70637\n2950 25668\n81159 87924\n36289 43141\n77628 86611\n36610 61392\n82931 83552\n85013 91490\n24682 79968\n36258 81362\n35913 60933\n31420 83532\n25666 42112\n17713 92087\n4977 37438\n21977 29200\n23314 90567\n30438 60565\n65873 91807\n15582 71843\n41165 52745\n46546 86412\n1201 49503\n18645 93712\n428 19339\n43709 95073\n50426 83661\n80333 83406\n41136 67677\n38657 80629\n30786 67389\n6758 83775\n61361 99496\n62449 76272\n34539 46787\n49466 88349\n31069 43442\n17617 69607\n42073 81672\n7387 45012\n29391 55641\n65404 81901\n31326 65711\n22158 50700\n51593 53556\n21635 38390\n43999 79619\n36141 51434\n39406 84471\n5533 84950\n70410 73315\n21519 21858\n85977 95757\n632 37597\n42872 43782\n1532 67369\n53454 79653\n16395 21493\n15293 27538\n1793 88278\n76774 95765\n59625 82967\n7169 24434\n61172 66440\n10352 58178\n40763 84463\n34664 62893\n88976 97181\n62331 63838\n32833 48368\n37464 66239\n73147 95150\n38337 44264\n5163 84146\n1640 30387\n79111 99148\n13523 29951\n20799 24884\n17142 71507\n16669 22897\n18117 86224\n66207 84770\n68482 82310\n15171 48921\n12091 82785\n61212 85699\n3285 77969\n65396 98556\n26014 85839\n19087 34218\n24076 60624\n1658 60321\n50787 99313\n1108 79954\n7155 55660\n27200 80432\n79314 93310\n12816 53995\n68524 77001\n12568 17550\n31422 56875\n45827 62786\n54660 72307\n14500 80818\n85089 91554\n19245 49400\n56189 71488\n21571 26519\n52 46123\n83683 86374\n19429 83778\n17108 21489\n27891 67117\n38667 91178\n58403 87104\n1912 33719\n37236 89203\n10891 16057\n1912 99545\n38755 80336\n66954 87292\n19090 91737\n12747 53471\n71158 83749\n14430 70320\n52022 92823\n6845 81494\n37674 54259\n22692 29856\n26055 41101\n34570 98775\n16593 70693\n54053 59308\n17036 24905\n296 83811\n41273 69432\n7678 82204\n41045 74234\n46890 69448\n46197 96134\n19947 80523\n2825 24624\n82125 88620\n9392 49022\n15122 61023\n30665 58535\n12029 99235\n57076 58309\n1996 89172\n62989 97323\n3888 39770\n60806 65374\n13611 97856\n14473 21644\n3018 90971\n53006 76798\n44027 64348\n22670 29542\n29870 97263\n62124 93636\n19101 68947\n75924 99211\n39232 83717\n56915 90414\n38539 75614\n13988 54844\n9881 82029\n26894 75264\n8434 36823\n23703 46877\n10686 37971\n16126 45574\n33451 63098\n28880 64160\n24486 51893\n45496 48954\n17612 88437\n4371 94500\n31611 90598\n25313 71863\n14846 56999\n78573 98831\n25380 72710\n23986 52878\n16098 23801\n26974 70468\n45934 84418\n50676 97406\n82972 86851\n54848 56989\n8658 81935\n36642 98140\n3393 70301\n51633 83376\n11769 44844\n13499 68670\n4342 47346\n63562 91899\n30596 69683\n8475 77833\n2066 79965\n28263 85754\n24885 48170\n38722 41611\n36916 46739\n5871 45817\n12403 97026\n32725 36798\n31489 65751\n68987 87733\n28646 57552\n15146 27543\n10405 22017\n62030 99935\n51032 70713\n15697 25685\n8723 57268\n2274 35397\n14305 82662\n24163 98241\n19243 45937\n26089 58608\n13347 27417\n57150 93291\n1665 52891\n22676 49547\n42379 58178\n17959 45806\n14297 30100\n30945 83618\n48906 62656\n40599 43176\n27886 46218\n51245 64157\n22546 76110\n12542 48199\n10759 70623\n51246 67574\n48686 58502\n18843 88250\n4953 64443\n19466 35001\n53959 99104\n3131 67459\n17341 43374\n5797 51001\n43356 58516\n8545 53652\n62234 93466\n1035 93516\n21412 77233\n14182 64076\n23990 69112\n2443 70521\n34569 57659\n85403 85661\n35231 52183\n5824 64267\n59328 84606\n37984 79244\n50272 73681\n1361 18346\n91261 97171\n28361 65695\n53383 59111\n11168 58857\n4080 85895\n2716 26995\n9071 36518\n6937 82355\n55412 75288\n33466 49849\n38919 68903\n21422 92536\n1869 43238\n36508 51506\n11244 94711\n7829 66460\n44178 60937\n28251 63058\n20770 30699\n44831 62679\n775 86799\n21740 88838\n10150 49879\n10458 67850\n53649 75008\n2167 16314\n9209 35942\n12802 58367\n15934 82458\n73732 85610\n28097 80012\n67357 96446\n16893 44702\n13301 77532\n14385 53834\n9502 85472\n18886 31723\n26741 39461\n5331 97742\n23812 80552\n4044 38838\n1222 16086\n49956 51481\n7732 18994\n20570 40270\n63714 90793\n72573 89880\n44301 86360\n36856 87950\n66547 87608\n49132 78131\n37335 50431\n16437 80195\n48094 96201\n53758 79476\n13870 80848\n21064 33682\n56354 71074\n16064 43603\n12695 40471\n47579 65365\n86204 87397\n3856 34834\n91372 96547\n17896 84886\n22985 69514\n14894 36298\n11526 82543\n187 61232\n7816 30292\n19757 33003\n55248 69499\n13034 19208\n17847 49886\n50735 53849\n14955 35377\n49256 93616\n24300 45838\n55114 76420\n16917 23412\n47932 85316\n34615 61645\n5526 66132\n89046 90787\n11730 57387\n21159 94603\n12266 45676\n74275 94388\n3726 71775\n59666 73135\n15251 45552\n48643 94536\n21321 95265\n54721 90358\n38631 92274\n88090 89183\n5971 89244\n6683 8759\n27650 94303\n52548 85602\n45180 49201\n6315 23017\n6447 84163\n56164 56942\n39988 62850\n2962 24808\n65440 96801\n64521 87068\n11156 57223\n24325 49301\n55673 64905\n29742 98190\n12052 39610\n31805 68834\n12835 71176\n72854 86559\n38704 48517\n60186 87222\n67749 68481\n4020 63981\n21698 28761\n8181 71738\n12237 73846\n24094 47540\n20402 86387\n26015 67033\n35022 94733\n28368 40642\n13008 76123\n25966 68081\n44685 60626\n41946 60841\n32158 84325\n36486 50852\n8203 65256\n21016 94975\n43906 87114\n49724 63385\n8241 77278\n84319 91598\n76804 94902\n29168 35067\n28666 84465\n10302 13686\n3948 8175\n42267 44262\n8748 32438\n55819 87749\n32503 63571\n10319 69754\n7195 83551\n16762 92171\n19373 20509\n57724 98539\n21625 39060\n6001 21642\n72752 84712\n60966 97562\n34093 70500\n478 48017\n8296 28104\n77144 93226\n33162 69938\n23258 24840\n22979 61628\n6402 52077\n33874 42628\n58684 73792\n27147 94657\n25209 66907\n31204 71697\n54565 72672\n65483 68789\n22847 32688\n28314 72426\n37075 60529\n35761 49074\n18224 99953\n14803 73395\n9320 81364\n65598 69910\n88924 89147\n19754 85365\n39753 82689\n8188 56973\n43266 76870\n36842 98379\n16728 46908\n57589 69493\n64524 68825\n47645 55822\n32013 48744\n18861 57289\n59902 95901\n20512 53116\n26896 43539\n12620 71977\n22893 60424\n32556 82338\n37704 46397\n8090 89750\n52543 94563\n25510 29287\n26412 37989\n37522 76593\n46696 83880\n13641 50580\n49528 71342\n1096 8812\n27300 98528\n5870 17442\n40985 44914\n76669 97014\n19254 41186\n3555 39509\n10198 95422\n20207 66539\n70024 86345\n2949 50405\n7717 17471\n46547 93058\n46583 63665\n4621 56333\n18397 98918\n34050 99565\n4010 58205\n11477 57228\n31208 44841\n27572 78548\n32295 77854\n38662 90743\n54678 96096\n11866 63236\n37354 75328\n20597 81503\n64207 77679\n49805 90860\n22999 38456\n2828 92686\n5454 43935\n32839 77218\n15554 61872\n86223 93506\n42608 87712\n32296 49901\n70356 74329\n17957 34743\n71128 79845\n11270 81146\n12220 35366\n37297 94461\n7198 92054\n19428 57956\n46327 59360\n681 69994\n21014 57013\n5601 62884\n83924 85549\n34880 70769\n41637 56096\n84960 90219\n13264 40955\n53780 59382\n32811 64297\n54974 96539\n9790 55062\n22780 60138\n61197 92246\n9251 80071\n5776 18767\n86591 99533\n79510 86230\n35355 59450\n27514 55656\n15652 60142\n33165 72986\n2141 36881\n8989 32988\n25793 75268\n2202 54858\n11849 53238\n83673 92213\n8079 32825\n8779 11805\n40576 60603\n13462 68534\n4321 45436\n4843 20274\n34496 34527\n69941 72715\n37326 75986\n19534 63079\n36051 94441\n6333 18550\n36468 78300\n34068 68389\n34110 47817\n9071 52370\n28196 66372\n4036 56602\n6359 82710\n7123 18032\n74045 93700\n27187 92895\n21572 90128\n40836 72158\n17664 90165\n75829 80898\n1314 9652\n6553 36271\n24561 42668\n34532 80271\n7733 80598\n57401 79503\n91892 95340\n58445 72004\n32073 50509\n11177 27620\n18309 88982\n43237 97358\n51199 92629\n56412 78705\n19699 88800\n38945 70644\n1071 40589\n16084 78537\n47500 83378\n38023 87732\n39462 47906\n16774 25211\n4655 90772\n8020 41865\n40504 46494\n16493 81632\n22610 44949\n21632 51731\n11592 91581\n13922 19550\n16340 63904\n57094 81579\n14249 90572\n27224 35098\n5430 85143\n4203 12993\n18969 72465\n15852 90755\n35901 57791\n48325 70718\n9574 95770\n27269 63087\n32706 58902\n60776 66214\n26982 53959\n27175 96422\n75979 89547\n26229 96647\n27684 59000\n5844 47964\n21299 92290\n34844 40123\n18028 69775\n32119 35768\n37443 96329\n16575 87818\n51955 89097\n15458 53160\n53625 77674\n65484 81381\n60899 61614\n21730 33193\n3780 81149\n32740 80558\n71592 90841\n56109 96517\n50830 89895\n37662 49527\n9106 51728\n22543 53153\n39400 92904\n58152 88014\n17990 42201\n9973 58581\n53380 74322\n54261 98484\n9456 51882\n1535 11351\n10286 64354\n23225 74484\n70477 99740\n1848 28593\n41359 76912\n2846 13439\n24352 63022\n36681 44823\n2470 59255\n66484 91474\n13365 99213\n38330 78311\n28153 72248\n33984 87398\n29739 99033\n75235 90213\n9990 85253\n25510 89502\n7498 21464\n28001 68731\n67118 71091\n28608 33616\n49997 99211\n53881 98883\n89708 92273\n15951 58249\n24904 38328\n23109 24997\n21337 94187\n55145 67253\n26098 40439\n46603 58083\n167 52533\n51363 95722\n60604 93222\n66963 82193\n55333 63251\n56709 59967\n29632 33652\n68634 98706\n55451 58117\n17007 56371\n52984 98437\n43427 56144\n66253 91329\n93504 96827\n58113 75379\n78081 92475\n40108 84954\n85587 97233\n3347 18541\n4181 70511\n11121 61357\n14499 17619\n9951 28133\n21398 93003\n30304 31193\n38078 98446\n19439 94965\n4921 94935\n16957 57757\n61465 79392\n5334 64020\n28571 76518\n4986 62840\n1006 51982\n64732 88469\n31068 81643\n49561 97951\n71881 86060\n7362 22834\n53874 90131\n921 66763\n12655 86956\n2267 58281\n35298 58793\n14895 93892\n51907 63337\n44555 92448\n48028 57144\n31584 51762\n34139 85672\n74926 86244\n51604 75792\n15304 54667\n62299 76840\n49547 59615\n39496 79381\n9862 22941\n39623 65228\n18104 78248\n11960 77895\n6486 47485\n12102 75779\n6092 68307\n59603 88886\n71379 82877\n23411 95751\n42370 49449\n84984 97783\n47495 55555\n41424 51136\n59325 75182\n13601 53563\n12739 15521\n76035 84381\n2672 50889\n46741 56242\n73555 90559\n29243 46749\n55651 75376\n54284 85566\n97285 98931\n23266 64165\n23922 81197\n28653 60741\n23059 37648\n65628 90569\n21573 27678\n6844 95729\n48042 75843\n24589 73716\n32926 41423\n41351 97613\n6519 83377\n41049 80404\n41167 52873\n4415 60283\n82107 96403\n43854 78939\n60070 88869\n60411 86694\n39930 59911\n87808 97356\n19770 63167\n43079 53568\n53861 83766\n21493 21771\n17607 45692\n38173 93168\n75154 86650\n31339 51031\n45630 63159\n26917 46376\n43990 47196\n59771 66682\n3363 19137\n67454 91944\n36663 92684\n86967 98348\n41800 85249\n35608 90334\n37315 57168\n37673 84449\n47695 93264\n21180 86973\n50000 85464\n15338 47068\n10727 12349\n11675 58278\n9643 66807\n74 34309\n8527 84123\n12800 73838\n61647 98327\n33753 65029\n57181 68249\n7646 95284\n15672 77472\n33498 96289\n35110 89698\n53390 85947\n8732 69332\n3836 90259\n12861 66495\n75119 82924\n46434 93385\n8733 44179\n82367 95471\n49388 85430\n19851 24597\n10922 61747\n52268 75522\n26284 88358\n56140 65576\n8867 28750\n19419 25639\n64843 87924\n44159 84874\n64234 72082\n51583 88586\n26500 91326\n6463 95676\n16540 63198\n72939 82701\n75115 99108\n29366 72121\n21047 60113\n7350 23882\n23730 63143\n75181 95701\n19305 50505\n30015 45753\n61307 80446\n15301 53905\n5258 39263\n30945 68540\n38227 49321\n2609 14590\n3977 43591\n25492 91394\n58816 94007\n34616 44904\n15424 47750\n3838 80762\n5378 85089\n56304 94333\n318 3934\n21990 50110\n5453 9731\n87872 92310\n81197 88430\n5522 51873\n66787 86749\n56515 75586\n62487 92361\n50155 57284\n33572 73255\n57834 89336\n74110 80197\n71599 99030\n23472 29418\n48441 53122\n46825 64174\n45760 93844\n41756 66323\n43838 64492\n22370 58137\n17906 23672\n27890 91106\n39998 58032\n40132 78840\n45379 65193\n10085 13550\n57982 99037\n30067 93443\n41981 64260\n11416 11438\n23561 93290\n9915 85903\n11623 41204\n44127 99502\n13529 83946\n13557 92929\n80193 88672\n35657 42021\n15428 87276\n49129 51106\n7541 82469\n19430 91010\n13450 85071\n2206 18253\n35016 40943\n69113 81909\n28184 74013\n65016 85699\n59787 84801\n14246 88582\n22430 81564\n40886 76032\n26704 97627\n59756 97789\n72853 92264\n42620 60070\n3940 65374\n29016 97090\n34858 100000\n30224 69997\n27248 93592\n55887 93137\n54995 56436\n46387 60386\n41737 47228\n28377 57610\n34217 88126\n74640 84231\n59063 88294\n84008 88019\n565 73554\n10122 52720\n71589 76161\n80383 85869\n30611 69565\n9390 34865\n12009 32530\n15162 69932\n84566 93565\n2824 98593\n36745 42853\n63177 80491\n29877 59559\n24467 29470\n3458 18119\n79100 81327\n35304 48591\n35713 77983\n27132 65301\n32654 43386\n1050 19283\n15039 34281\n7429 45598\n15937 93807\n29755 48379\n4644 41210\n29406 42987\n30230 57451\n39100 91205\n1015 68095\n9259 37110\n44554 55622\n12901 83275\n34687 53772\n27209 90794\n23940 68052\n65451 83077\n85775 98775\n18769 36430\n43483 93039\n70227 72202\n14383 66260\n76613 81354\n32955 80854\n57804 67018\n33985 37119\n34865 62824\n42859 67772\n42179 96394\n42472 65795\n12127 94445\n16024 70330\n61864 62605\n21928 48974\n24161 67703\n37140 40795\n11950 74021\n50075 83888\n8208 95208\n10710 33873\n29239 99484\n3282 68084\n70672 75252\n91915 95653\n52397 76221\n83163 90144\n58216 64194\n11303 31813\n47013 65540\n5707 95057\n19860 27636\n28800 90894\n11798 44526\n33788 69947\n27876 72009\n17638 47196\n39519 87428\n28068 41563\n45732 70465\n5539 89262\n1549 83563\n22615 67389\n87848 94530\n64010 70633\n30912 76286\n16936 36662\n6935 95539\n58878 77584\n7761 62826\n75765 78011\n55729 89521\n717 34037\n29998 50915\n42254 61276\n54383 99373\n14256 28109\n60713 82825\n15041 49527\n4540 32120\n63117 75288\n73541 95172\n7976 92665\n39731 49982\n1719 53574\n54013 60772\n91285 97605\n31621 59468\n38030 59995\n17882 74036\n54641 58915\n7809 53697\n6138 79230\n14010 25539\n21148 74796\n34884 53205\n2545 75907\n42681 76557\n23357 53536\n83559 85071\n16976 78605\n53485 94455\n48873 63058\n61924 69950\n47104 51879\n61172 87547\n71802 96147\n43545 84069\n74330 94545\n60533 64256\n50908 71274\n7170 70468\n2256 83498\n20197 35739\n3129 56332\n81792 99140\n37324 76313\n43775 83014\n81968 87682\n62501 74994\n67432 94943\n44571 93716\n33717 34432\n47406 65963\n29016 88002\n13237 13802\n7813 49798\n52909 91325\n15689 19677\n7722 12057\n46384 64576\n36691 91579\n22833 73864\n27938 91400\n25892 60115\n66854 76460\n13354 70774\n82792 99346\n36121 80871\n14183 20028\n6015 25756\n34654 79033\n7592 35295\n32843 69509\n10100 61700\n36196 54087\n2171 35507\n20080 88811\n29874 69880\n41070 85135\n68256 80116\n34786 59850\n8582 52737\n36905 90447\n38928 85890\n77767 94243\n54205 88592\n27613 41981\n9212 91493\n49773 68998\n13847 22805\n19863 62478\n9405 97749\n23810 38967\n25746 66807\n2324 61822\n33949 40187\n58274 79775\n73376 78630\n83370 85580\n26 29529\n17482 44446\n12994 40201\n25259 34321\n25217 76627\n33634 39126\n84338 99606\n40703 40944\n19400 66094\n23710 31187\n36621 91437\n83095 97742\n3112 38934\n53362 78647\n71541 79747\n23667 41719\n8660 31664\n80004 82582\n10054 51186\n81433 82992\n86149 92320\n76913 96249\n3574 24476\n56801 95771\n54694 80880\n41141 72137\n46259 67358\n67897 75964\n74890 89945\n23423 85362\n408 38181\n59029 98442\n52162 93226\n77959 93275\n41830 76461\n28454 68519\n12869 35955\n5443 14177\n10360 71189\n81956 82801\n152 73012\n13100 62020\n10790 55298\n16357 57921\n18886 74793\n20259 40688\n13988 16109\n3190 80933\n55329 82153\n9884 53327\n16697 17865\n59124 87073\n83683 94498\n35921 62023\n29526 36099\n14091 48676\n67491 82548\n64191 74044\n7924 46417\n5597 41921\n71904 92751\n18412 82069\n25565 43422\n39441 92932\n32221 44310\n16344 19354\n75511 82392\n8450 78913\n5132 96871\n61750 68595\n57872 65762\n18365 70886\n38747 73900\n59570 68119\n15697 18942\n11424 59170\n68898 80428\n33439 71875\n11056 71015\n37415 83559\n47261 91549\n53152 93563\n24540 38409\n48656 69722\n60043 90012\n10586 25873\n62322 86247\n8100 21087\n14077 86794\n10569 29076\n22096 23227\n12674 12904\n68909 72514\n43110 83745\n70940 82605\n41580 56439\n38943 59542\n84356 91839\n39410 65431\n28718 88021\n17025 45851\n15164 55889\n52769 78489\n58151 65219\n74394 95150\n33156 41548\n50293 71122\n78342 79774\n44975 80203\n8111 51448\n18154 89245\n5905 96128\n29009 99198\n20833 37680\n56223 93796\n39434 62331\n42077 99218\n42184 93828\n10002 14519\n42613 79907\n66488 73029\n14130 16885\n24022 51807\n64311 88338\n28337 40101\n944 9961\n23863 53460\n220 76943\n56762 75740\n39981 49922\n66658 91909\n48861 52878\n11420 13925\n16073 21983\n84751 90954\n65304 80065\n18596 34263\n58485 77672\n13965 25170\n46440 76332\n16745 97023\n45943 58644\n42612 93590\n5285 98670\n53806 70523\n62524 78936\n63090 71401\n18595 89848\n831 64016\n36399 46598\n57835 73896\n21590 22105\n57204 94429\n8097 13158\n11786 90773\n35357 74093\n32322 98831\n5678 15206\n16537 50407\n11776 67060\n11000 46002\n42056 44898\n39309 86654\n59996 79578\n64001 76230\n44307 77165\n19550 35564\n67481 81896\n24774 56374\n84743 90632\n7739 76563\n29764 55476\n9035 74709\n44413 52352\n61499 69662\n28395 85164\n60996 78159\n23746 56167\n27999 83695\n42329 68188\n15358 57485\n31912 48178\n30825 56475\n29557 79411\n37473 42123\n46185 64431\n6463 25086\n80224 85559\n36509 61361\n44538 92669\n77034 88826\n63851 64029\n8504 59081\n1619 57970\n68651 86925\n36811 53683\n38231 79966\n5204 35436\n65344 88475\n34503 66673\n1641 64061\n40269 40796\n58419 96882\n59187 77616\n23875 99769\n2134 9872\n14036 49783\n67298 89862\n28775 84203\n2707 87707\n51396 90803\n6187 59195\n9113 44030\n3636 61226\n51009 63378\n57411 61343\n25025 50689\n34291 85729\n37510 78800\n17856 61679\n57398 83990\n16402 84318\n27697 76567\n38381 74227\n13530 18966\n15491 25722\n27375 39087\n36225 86801\n735 72077\n3281 69375\n10334 73116\n13642 77044\n16670 45735\n28321 72364\n23102 84644\n82833 85469\n1758 52712\n1551 11184\n51039 64682\n46783 75200\n28811 87180\n3754 59115\n33088 53291\n12667 86911\n14078 41632\n16867 47189\n9931 56158\n3478 71767\n27688 57853\n4658 81619\n59670 89727\n16402 47522\n11400 74523\n33300 47849\n17055 32348\n27620 50318\n50054 74387\n28956 63680\n322 8354\n56739 80054\n42602 93456\n27634 80544\n10455 11673\n77112 93551\n30054 71226\n1447 68743\n55686 95843\n22911 86326\n16620 69292\n61714 74127\n87912 87936\n33000 49196\n19575 41145\n74075 90494\n67168 94380\n42519 47251\n17798 60354\n2030 95480\n58040 97017\n55689 98309\n25651 87496\n23409 81614\n80362 85892\n63770 98685\n53217 77117\n3390 29249\n80117 87072\n36429 42074\n19133 88938\n37517 91581\n82787 93920\n13262 75644\n16701 44065\n31479 88695\n234 7606\n14953 30560\n34124 41864\n14701 15540\n15143 32566\n19442 73007\n59798 89107\n19663 73324\n42653 99441\n26318 57911\n17710 61938\n49716 72569\n40254 66063\n65480 87367\n41246 97304\n4259 57193\n43502 47843\n29936 37437\n30862 34564\n35272 46976\n21616 85505\n26356 48966\n740 52671\n18119 60651\n10718 48613\n21106 46521\n78456 95213\n37441 76011\n71001 85698\n54284 59596\n37246 67423\n47659 77996\n49119 61282\n35868 36485\n19700 68726\n43758 65274\n12322 13792\n66508 71878\n62085 94720\n56181 71513\n50273 67414\n61323 92487\n7922 16056\n3249 12261\n28993 57691\n16390 77619\n14531 35166\n42988 86703\n59175 98487\n558 96964\n56434 68420\n31580 41985\n49825 63306\n39177 54736\n24727 40615\n23685 91044\n17847 38926\n2868 37306\n33343 68889\n73335 95532\n22525 56323\n72497 80179\n16920 64035\n6782 35952\n35810 80170\n24050 49612\n41590 54047\n84785 86686\n16947 20777\n47034 68071\n18221 52805\n9500 48536\n58520 90647\n30694 75465\n47867 56026\n45365 80853\n92407 97796\n78803 85566\n67736 77326\n25320 49943\n13822 24987\n45279 46296\n64561 80229\n28421 32821\n50862 52706\n17256 60075\n15963 96043\n89118 89684\n26925 44723\n67715 68736\n13589 66619\n73265 75447\n3009 77721\n61053 93408\n66017 78594\n50173 62997\n37075 61550\n32499 37978\n33557 76712\n2766 62940\n45982 90895\n65567 69091\n16577 43781\n22975 75578\n57020 95586\n3042 74513\n48375 81137\n2828 47182\n16795 59645\n50704 81653\n2904 94606\n11273 98014\n40555 81759\n61492 96609\n64183 77013\n65322 87097\n62518 65397\n12233 14719\n14643 89336\n49097 77874\n44299 63646\n24220 27403\n21875 49480\n20474 22802\n16939 26371\n7397 26344\n26706 30679\n37530 58356\n39347 52019\n46296 71923\n38612 44224\n49142 96296\n56156 72465\n46772 61440\n902 61598\n42705 56329\n21505 53061\n1696 29157\n51994 52942\n16493 32214\n924 8452\n21569 70602\n24 16779\n3168 78024\n2286 48349\n4933 93140\n47254 68144\n4430 43851\n26715 61947\n21002 54077\n32433 39813\n43644 57060\n7667 52709\n8661 80590\n20216 97367\n1067 89363\n4331 94832\n40798 46484\n62299 75134\n54484 78588\n2333 89230\n60326 92200\n5009 49456\n9914 72066\n36347 84931\n5080 24842\n57242 71467\n1681 92177\n46134 54142\n5638 68454\n26110 27595\n20288 34722\n2878 90224\n28397 41815\n86774 91751\n38900 68117\n25391 84801\n2239 13915\n33570 98573\n32652 66418\n56068 84459\n18893 34081\n81603 84257\n55729 83544\n53287 56804\n85596 92211\n11134 84029\n19233 36086\n49141 78592\n74981 75442\n320 27097\n74758 90205\n6785 43266\n12275 90599\n4651 43079\n45638 98342\n35310 49903\n20495 72569\n5608 84130\n18847 34353\n39420 62753\n48558 50330\n5258 18416\n37312 92720\n24627 36514\n9619 26387\n3729 51675\n13348 58752\n38241 74605\n81946 85919\n4878 30850\n77794 96360\n4360 18718\n14574 59804\n7697 95412\n32291 84719\n53527 65442\n27915 89623\n37968 39568\n6621 70960\n9589 37002\n3344 35116\n29360 93564\n55485 62059\n14752 58705\n79828 91500\n65657 68287\n21236 44679\n19160 98208\n3347 50923\n49136 63472\n180 73364\n40571 68637\n4346 29699\n24377 80659\n611 1501\n23446 98909\n26714 89502\n37228 86850\n20011 97508\n40243 94388\n47985 73422\n3025 14608\n49935 54255\n86589 92329\n68522 94391\n52660 76826\n11269 48125\n75279 91174\n85578 91420\n50888 78287\n63486 64955\n36270 55312\n37219 72052\n15154 33624\n26855 98868\n47695 67343\n5830 29552\n39583 73321\n360 52037\n72640 74499\n21596 75562\n77696 80940\n41054 81076\n6637 31283\n32853 51498\n34420 41427\n60486 90821\n2105 97411\n80345 84795\n35974 85567\n16787 53886\n86799 94549\n16708 91492\n62478 83390\n16323 50037\n27522 62935\n13883 53171\n15503 45900\n47726 56808\n22398 91872\n37970 87131\n16842 98280\n42110 75859\n38773 40473\n58939 60879\n76680 98411\n9270 48776\n30214 75932\n16014 47939\n21733 45394\n46997 91255\n65625 89195\n15825 84921\n18310 72975\n54638 98226\n13168 59688\n28215 28290\n33064 45887\n31136 87494\n22058 51990\n4136 59254\n70348 88411\n1810 67361\n280 70849\n71823 83745\n35634 64177\n23047 79789\n2892 34420\n31552 38936\n53818 99051\n5741 35996\n12513 31530\n35712 90228\n46803 79201\n4918 85594\n1310 56299\n33999 37896\n227 64234\n1942 27565\n29009 43406\n43687 60503\n27031 87910\n21937 77369\n41350 89853\n804 8863\n10966 48220\n5146 34903\n5351 43387\n20356 34954\n21816 56324\n52626 85812\n20882 44793\n9160 55957\n31639 64979\n15832 49473\n6174 96540\n19022 55137\n41828 68847\n84258 89398\n18875 49588\n51604 89026\n37722 83665\n2780 10701\n6192 75599\n66989 81758\n23705 29320\n33194 79335\n820 92907\n48586 69727\n19982 74183\n67230 91816\n32899 77075\n26982 67088\n21908 66602\n4749 74332\n5316 37961\n7893 36816\n67525 92164\n19939 63382\n48895 80945\n45626 60507\n85574 90530\n2538 20319\n35663 58926\n14532 75105\n758 72955\n1157 62068\n24115 95706\n21582 74544\n12352 72091\n57796 59163\n28408 67067\n7368 25179\n21506 53470\n5223 78094\n20016 61534\n31020 98054\n23299 70300\n72485 73914\n74706 99901\n22470 52819\n20290 32264\n1497 16280\n3423 10803\n90819 96912\n44269 61803\n15061 52802\n14014 50442\n19254 65307\n30474 56167\n3512 65988\n87359 89438\n18227 23354\n23710 79198\n71622 91224\n43600 67992\n14865 33649\n37833 48859\n10164 58746\n45786 92589\n66733 73354\n14164 22558\n85385 99403\n30052 49563\n34454 77031\n33 60389\n68974 94779\n74831 81969\n19130 65293\n89508 90306\n52536 79995\n34939 96289\n43752 57356\n24989 88778\n51085 79834\n51980 80159\n39643 43747\n50586 64893\n53059 95125\n37769 61477\n103 50809\n63876 81782\n7963 65206\n56107 86173\n19691 23486\n7312 86263\n45978 60951\n74934 84444\n51188 65286\n31503 47911\n71326 81585\n20803 77760\n1522 84594\n31794 32069\n19081 71057\n15356 42662\n27146 60275\n46982 70110\n9838 72653\n2372 54880\n34214 80229\n31952 72726\n48107 68621\n27642 60223\n62108 93616\n14731 96240\n1865 30011\n9887 41748\n53144 92661\n23570 29760\n40906 62830\n26928 87253\n2597 61777\n1475 53040\n11061 43326\n73043 73555\n77589 98162\n54755 81099\n3427 33809\n17273 36845\n40596 88143\n33413 56293\n242 16900\n9828 72219\n8983 23924\n37767 38810\n42006 63799\n92841 96879\n23783 50815\n54096 63942\n4567 47835\n57009 86212\n33465 33600\n4192 21144\n30575 50500\n17134 21184\n55984 56001\n527 64677\n4903 22276\n52805 75206\n25860 99772\n12110 47538\n21617 41208\n19534 73177\n21954 23830\n27163 59684\n3628 40219\n25268 41056\n68955 73439\n34789 81045\n22401 66554\n75950 89047\n3032 35521\n46151 47773\n10916 89245\n21185 95980\n3790 38276\n10895 32498\n27457 56673\n7108 36257\n52540 74507\n44503 67677\n62633 73943\n29566 58985\n64104 92257\n56012 69278\n45218 81574\n69452 95981\n35072 53627\n61052 75899\n22782 27177\n18452 61014\n26512 87078\n33574 67305\n9242 37414\n88158 91715\n45125 46342\n1948 26094\n30581 49496\n9151 98151\n20818 29455\n3033 56429\n63928 67933\n67846 95684\n38595 45195\n6903 34835\n37101 87031\n92086 95450\n5441 51183\n39479 40795\n87635 91781\n6820 50838\n17553 68128\n55875 66397\n32327 45399\n36933 61043\n23997 51622\n5683 30384\n48108 56697\n7241 13322\n46939 68150\n78726 80800\n38896 43846\n10904 28876\n59714 83521\n83866 92225\n14933 93517\n23193 90615\n68999 81432\n41676 67563\n39188 85229\n388 57082\n38571 58203\n15671 33406\n3734 52967\n38934 54332\n10571 68324\n37321 54519\n2484 24088\n36083 96418\n4641 47263\n37707 80063\n69736 82950\n29607 53916\n50443 79895\n63690 75178\n71870 73620\n53640 83125\n61427 86575\n13209 22708\n1203 83162\n25544 54442\n34311 88799\n931 12052\n7919 44901\n22343 81382\n27330 75105\n23352 72895\n78967 82623\n33789 62515\n5930 41547\n4474 79830\n390 41931\n47518 66004\n16803 72421\n59972 99515\n78789 87297\n67748 88686\n10022 56161\n24528 45715\n5116 59868\n13583 34084\n80020 95877\n6807 82438\n23752 69095\n75286 96096\n1644 64714\n8379 88643\n3651 18166\n16762 78521\n34731 76628\n48067 61868\n26906 55992\n13208 37022\n12371 65305\n60525 96065\n8785 44418\n8553 81695\n10336 32928\n24267 51494\n56289 85671\n60913 90908\n5204 88401\n6910 50042\n61414 86672\n55353 85600\n23480 82120\n8835 23917\n12616 78576\n23900 50294\n66233 96460\n25669 76723\n18817 30702\n88922 98981\n23820 94403\n39614 47998\n40429 92090\n97834 98865\n73171 73941\n55021 62645\n47700 59087\n46795 63662\n74382 99785\n15596 33998\n20167 67150\n3162 68390\n31989 54261\n6170 84462\n2557 25874\n13184 18040\n239 98361\n916 55665\n65906 84861\n890 57655\n15101 20128\n18782 57421\n29430 83087\n1826 99710\n1725 53548\n30701 58611\n1984 71040\n9793 75579\n24902 25270\n10054 97415\n24810 88116\n82934 95557\n57277 94599\n71879 75066\n15760 21000\n18611 55067\n56710 58798\n89933 99113\n30506 99692\n32247 63339\n33952 79602\n29955 52954\n59687 91841\n5842 9429\n3876 38602\n50137 98623\n33286 90892\n69410 69912\n64484 95058\n5571 31416\n74095 79724\n5731 79796\n80985 87246\n32063 41467\n16931 66501\n61365 83070\n32727 73619\n9284 64853\n59218 78275\n35895 91814\n30745 63832\n36092 66280\n46918 50269\n8439 46390\n30859 90161\n17385 64153\n9965 62812\n66935 96646\n11728 59090\n38025 49754\n40030 70857\n31925 82123\n21617 57532\n365 2615\n47398 70018\n9520 46029\n74056 90445\n32040 47426\n74714 90528\n33991 71627\n70684 80594\n39583 86414\n8744 92226\n25705 73520\n70213 83450\n2309 44007\n20333 79717\n8303 84754\n76083 98625\n47868 59060\n76948 94487\n45000 60628\n59613 68802\n88564 97278\n54506 63199\n49638 51241\n58206 81282\n47728 69446\n43845 55116\n22722 45354\n6963 25738\n4671 6004\n48346 88567\n35223 90889\n61283 86188\n41951 47847\n33622 96072\n8026 14092\n73186 93828\n48373 90218\n15372 53270\n36952 70663\n88268 94263\n33908 79620\n60080 65667\n76403 92276\n13207 34190\n57088 88170\n11337 27771\n41387 80899\n91513 93581\n8418 52707\n24377 31177\n22350 66914\n35446 50477\n28700 76130\n34374 93007\n5049 93374\n37883 46857\n17763 44791\n4729 21614\n89742 96072\n10764 19132\n57566 81086\n26718 37632\n26533 55660\n7951 42126\n10352 97640\n25617 93711\n23777 35334\n80124 93117\n2263 73528\n52226 68498\n8298 11616\n7106 19605\n11007 42881\n7828 48154\n52213 86341\n46696 48523\n46058 90539\n13231 52736\n71245 86188\n90226 93220\n14676 32835\n74057 88088\n53067 82101\n40005 56456\n3813 7480\n41259 49103\n14496 73492\n21071 86315\n70225 88592\n37717 66076\n29770 59201\n51756 55398\n30457 82037\n14878 89411\n60688 91730\n17836 85963\n28455 29981\n12721 90210\n29888 88227\n42407 92231\n53470 65658\n63480 64021\n30812 93006\n71984 92614\n6325 93728\n46266 96287\n51690 68679\n36715 80994\n16666 83810\n17499 87334\n50089 96489\n71676 80255\n8997 61377\n19949 66126\n31905 72761\n54234 73531\n2061 47512\n43388 88606\n68295 76738\n42681 86316\n70116 98340\n27925 55895\n78516 79560\n36407 83932\n41635 80127\n28641 32560\n68328 82180\n44075 85150\n21042 85167\n12385 23376\n17980 85112\n4142 96730\n33399 37962\n29159 52050\n92763 98270\n32053 67171\n14856 93491\n36876 59372\n20917 92377\n56789 81263\n31050 31265\n49523 51403\n30478 80106\n19038 63837\n33871 81440\n3672 38344\n22934 66992\n68871 70988\n35770 50000\n37340 52847\n25751 83252\n5531 15752\n9279 9410\n75596 87093\n19187 56109\n82643 91497\n33056 86465\n3893 18897\n65618 69809\n77029 82746\n45156 72577\n41986 77444\n38407 98462\n10499 81247\n11652 90503\n61010 64895\n53611 80825\n77192 84908\n19041 43681\n27806 50685\n87061 95998\n11096 74845\n11159 69513\n38451 65700\n22848 63185\n8571 39703\n64674 85789\n16783 42728\n82036 91648\n9048 38830\n16821 98272\n47206 55186\n67596 81003\n67365 69023\n38209 74978\n1052 72390\n2319 55354\n57716 81764\n79196 79473\n65966 89145\n14029 50340\n39169 65563\n25313 45999\n24469 45143\n60814 99007\n47000 88142\n103 38387\n24139 25417\n94353 97671\n21689 93596\n12005 94754\n88614 94476\n7757 94229\n59512 78065\n16976 90600\n9116 29010\n50289 94469\n21487 89271\n81269 91438\n37473 52530\n55647 68510\n16120 91398\n16387 95945\n58228 86340\n33245 72305\n40579 45357\n17427 93732\n44120 86633\n34110 78687\n29630 92466\n15880 62380\n3450 60185\n25933 94343\n29719 47750\n33815 76743\n42727 47848\n34776 64642\n1105 98289\n69914 85309\n36214 77850\n4603 34614\n44908 49050\n2886 15268\n3254 19838\n14147 82364\n91497 98430\n33595 52924\n19027 49877\n616 38215\n12581 85244\n58656 92748\n56007 61591\n5158 70312\n3200 56211\n456 53678\n13168 36657\n40203 55883\n20073 50869\n57760 88048\n71851 95930\n23767 35460\n2955 87550\n52114 82641\n13325 90593\n29797 89268\n23826 36585\n33661 48706\n62721 80354\n53209 70930\n48263 90905\n56983 93753\n9681 72644\n1776 38081\n25983 87197\n31530 83998\n85708 96738\n542 44259\n80021 91009\n82390 84184\n23031 31401\n10773 86551\n38195 45209\n37530 59230\n85326 89424\n23903 30585\n10674 97425\n24056 66884\n23778 74060\n59946 97389\n4815 49696\n74793 95398\n14522 49296\n30293 51676\n18203 57771\n1209 14272\n56277 73226\n85753 90842\n63102 88014\n17607 28548\n12668 17691\n71886 86002\n8326 68405\n42335 50587\n1422 21692\n7786 17172\n56107 62420\n46232 76828\n14210 17384\n14089 82591\n30322 51891\n35696 60334\n56522 77593\n89550 91126\n4637 19195\n27859 83779\n230 77404\n56167 83944\n28853 91165\n4748 71344\n4748 60017\n49084 64580\n14838 85596\n21946 81382\n5496 27010\n37614 92098\n4571 57133\n55210 79903\n5400 97611\n28866 93361\n6963 23723\n39707 47490\n22570 79106\n13797 66030\n7998 89036\n16632 79560\n65012 68445\n39536 40857\n30347 36358\n93588 93671\n7636 71255\n65548 66915\n20512 72519\n26675 87653\n29499 47875\n63694 92662\n61882 67003\n39807 78381\n16470 73296\n60304 97117\n77826 86894\n26904 97985\n35666 40523\n23218 23716\n53786 59010\n12486 97933\n36879 49056\n66456 97761\n98285 98553\n41342 81924\n18210 44003\n34799 54721\n17827 86120\n21175 74678\n10509 14177\n24354 28333\n49385 73112\n17873 25108\n32106 98153\n53851 95095\n25273 93890\n3108 69819\n6900 76468\n23277 91779\n38820 52352\n52607 52902\n43341 98695\n97561 97713\n9908 42764\n32937 60326\n48818 89806\n47447 85572\n44342 76904\n2938 34097\n30707 58826\n78162 93801\n1331 95395\n31091 69986\n41166 42020\n16687 22543\n34792 69933\n45531 80251\n16615 65511\n42028 82239\n26966 49946\n37233 84727\n59647 80361\n47954 93914\n12579 80112\n72850 96246\n82040 82737\n59409 60773\n24216 54674\n53133 63323\n35846 68207\n61358 89152\n21278 40161\n625 75728\n60995 77041\n3999 27509\n27483 91677\n8628 47843\n14461 31198\n39001 45085\n58626 77685\n46296 65651\n27454 86091\n42135 78384\n18253 48657\n1147 38596\n38265 83194\n31905 79994\n26608 36197\n8230 71789\n43535 59480\n27633 45282\n12681 15530\n248 47623\n56515 79400\n85236 91374\n69405 91149\n8173 12570\n23995 56654\n54972 74269\n12293 33922\n77363 92536\n57644 86586\n25114 47421\n36254 52308\n29043 91928\n18969 64567\n19036 67801\n16709 23863\n20339 39754\n46683 98011\n12819 36268\n47086 62925\n54514 92560\n14317 17383\n21420 71730\n16386 80620\n43810 52730\n21830 58746\n59585 61299\n34761 94172\n792 97443\n80165 95878\n50838 97614\n84588 95371\n53886 59448\n29018 97794\n31106 70573\n36785 72986\n69866 72055\n3271 29056\n19927 91429\n67028 69033\n27067 61330\n29388 47281\n81652 96145\n36908 92859\n28441 58558\n72901 95114\n50955 59312\n5209 27251\n59848 63050\n7302 9393\n11153 41158\n20519 91915\n52644 66028\n23380 67518\n52228 86114\n61033 76088\n39256 68525\n13942 37732\n24485 77032\n58861 61253\n24943 33869\n30466 40596\n6347 7591\n41767 86640\n60441 77694\n5830 54511\n3893 6164\n12640 21300\n11596 35232\n37560 73178\n16807 63784\n35555 83800\n19558 52906\n22095 50375\n48875 58651\n4003 92537\n7816 59783\n16469 62527\n50387 56119\n20711 23602\n13460 65626\n5169 68330\n50209 71105\n39627 78481\n90590 97219\n36378 76612\n40509 67619\n51196 91230\n11727 81997\n23908 98630\n46112 51919\n11099 72828\n11793 17620\n69630 70790\n8963 36903\n32721 97012\n38624 78943\n41269 76399\n49009 72939\n7228 47051\n27708 61510\n45415 53178\n27160 51503\n20251 98608\n18460 22565\n41656 92784\n15131 58037\n54086 64408\n21766 30248\n55548 86135\n22068 37385\n2085 35509\n48705 86548\n65843 99058\n31474 73688\n21933 81097\n44935 68921\n25650 57806\n8106 41333\n48762 81626\n9082 36183\n26969 64064\n24497 39872\n19428 29585\n61792 72717\n12378 21821\n30585 35367\n23303 80113\n88117 89186\n57722 66332\n52149 84600\n46802 54524\n38989 80931\n24076 74814\n14236 48297\n14337 44323\n13076 39748\n36321 40921\n21990 32324\n29403 44188\n81159 88135\n86679 90300\n18199 69187\n24005 27976\n51353 63482\n12582 24326\n82695 87633\n93835 99847\n46213 58913\n71971 72948\n2839 59388\n30363 64918\n11847 20897\n56566 94839\n74832 87198\n33295 41271\n25262 92445\n10060 67239\n1970 77354\n17748 96374\n16843 33614\n60025 93246\n9706 46560\n33837 84279\n64699 67116\n12244 69960\n34438 35185\n14365 40204\n11817 32230\n59872 60447\n13047 44825\n57155 99985\n41016 42094\n4096 68995\n64146 72520\n14250 42089\n8715 66614\n26830 56302\n20794 60931\n55255 61616\n28192 50871\n58608 85175\n41070 99382\n36375 69802\n14227 25314\n42543 89114\n17004 90771\n68974 82047\n51569 58093\n11894 13471\n50865 53374\n17250 23797\n48562 62553\n46827 93081\n53587 90437\n29050 80823\n22109 46170\n29339 29535\n56769 88808\n12873 27983\n64865 99512\n45183 50038\n61609 86939\n73626 85046\n47579 62251\n71951 94290\n5173 70144\n33286 95291\n33905 55973\n12717 19798\n10465 38761\n15587 67431\n25550 87612\n47341 89196\n5636 33412\n46000 95649\n34082 70794\n11880 70025\n36199 83402\n55719 80888\n5498 61480\n294 19298\n6230 38893\n46593 58627\n35606 37579\n35650 91211\n3054 68869\n45632 68411\n58656 68506\n17330 42236\n62392 82799\n35379 55793\n46290 94743\n2425 61146\n35479 42792\n8887 44349\n17359 98055\n63914 89802\n35496 95800\n67829 83135\n17567 52407\n30992 92356\n64066 93957\n950 85030\n1307 20807\n15698 96685\n6671 21575\n83348 87974\n19781 42759\n24366 47034\n24654 29489\n71478 73302\n56769 80891\n38605 90555\n7255 39340\n32236 77772\n6655 55667\n20716 63365\n39116 55016\n4693 44476\n14764 45511\n13440 33807\n53442 89093\n33045 54753\n6450 21289\n28019 85212\n54412 78869\n57947 84741\n27469 85101\n23416 26613\n19066 27651\n36104 84500\n58299 90779\n12795 54595\n3771 84390\n26211 38623\n27132 31569\n78020 85671\n5539 94765\n2680 28467\n3117 63310\n17562 22051\n10982 64984\n11355 31504\n33486 47762\n14834 27132\n11743 70630\n26762 32594\n10603 88156\n48305 75082\n67017 70710\n23236 90501\n25524 83474\n17481 76503\n8707 46903\n25059 68863\n49465 77170\n64211 70655\n80140 87459\n64240 93705\n34669 58434\n42502 76940\n17628 64134\n1782 70967\n33645 40289\n68478 80762\n28302 51915\n12859 50617\n13508 54252\n13321 36529\n8962 16013\n17947 27652\n3921 43666\n11248 43374\n45436 84301\n55951 96089\n55845 69089\n38077 86612\n805 77291\n70427 78758\n18668 70005\n54942 55977\n91480 96969\n51577 97727\n31880 62666\n3319 50283\n8009 89211\n66275 91161\n80007 85193\n46113 81025\n24535 59874\n70676 88893\n28466 93698\n34796 40380\n42733 66767\n19463 32017\n66058 86075\n24299 79352\n50669 65609\n50023 91861\n39047 39383\n332 70005\n86844 96626\n46669 68943\n20358 81579\n57641 98819\n31334 98312\n34985 40259\n1299 13861\n29106 39727\n11338 92185\n16422 74225\n63792 76140\n44786 73202\n35617 98220\n7403 35942\n45943 94034\n18092 86046\n71867 91334\n33735 86528\n1156 8116\n5972 58470\n67186 89776\n50011 97902\n6514 70952\n52595 81457\n3585 71118\n57179 76788\n69363 87241\n47307 88808\n79709 80559\n49862 68368\n22467 92609\n11784 13614\n33914 41430\n15684 76217\n3287 69942\n16102 81585\n65126 86220\n73474 95088\n21837 57185\n90504 98289\n61778 83244\n18756 55411\n2436 49697\n75794 77096\n4908 21255\n53123 98786\n20311 32998\n30501 37098\n40510 80096\n45920 60647\n81495 91608\n69709 76415\n30009 93361\n65796 78704\n47430 47669\n57295 77705\n88960 99020\n29598 30313\n27104 48759\n9144 19407\n17449 93531\n59828 64983\n6876 26003\n41486 93565\n15359 29959\n62725 88533\n8405 93242\n33598 88761\n13299 69473\n7741 37537\n63607 67028\n5845 60437\n43577 89952\n57612 99841\n22343 85383\n61973 89018\n67972 98532\n31102 55047\n15938 68990\n50691 66214\n8699 58099\n74554 82012\n32903 55895\n54560 56796\n17644 46824\n21841 74896\n12870 82872\n39849 66011\n158 76981\n15687 32217\n47223 83468\n12182 22776\n43106 57456\n30831 44567\n4576 8903\n42955 58859\n28701 45961\n4816 60886\n14054 84604\n19382 65930\n40780 93076\n63222 69652\n15849 45629\n32229 97439\n20339 30486\n23752 79696\n844 8377\n40067 64990\n59869 64828\n65969 86643\n58620 98553\n12793 55160\n22084 89978\n47226 68979\n8743 52166\n43290 50846\n59540 84729\n43251 68542\n55255 64112\n13894 48833\n44454 61360\n20852 58390\n24422 67150\n787 64301\n74968 86403\n60121 80630\n10259 12633\n34232 87007\n7856 45461\n59978 70481\n22339 88911\n25680 98546\n17743 30233\n16213 93398\n9705 59110\n449 76851\n38050 44026\n93013 98213\n43510 55327\n1996 14138\n65783 67060\n14869 43434\n56043 83912\n7831 50481\n49652 92931\n77926 98441\n8453 37891\n63478 77681\n17154 71230\n47364 63670\n3222 58329\n69168 70332\n52722 76506\n7212 34251\n65200 87673\n28945 73448\n10391 60815\n3039 23955\n71791 90287\n28806 79047\n71750 72269\n35676 55485\n50797 83872\n42641 83423\n17419 74648\n80689 84583\n40375 51466\n41716 71624\n14790 84827\n59430 91487\n74824 83080\n38107 68518\n74473 86692\n41990 62954\n32194 80723\n45045 86750\n95401 95845\n43428 83270\n56067 78320\n46954 53704\n19533 74421\n40991 64740\n19984 58375\n17031 69951\n25827 86801\n25280 70818\n28734 98266\n42425 98460\n52233 79175\n2104 83853\n67414 68648\n15915 43826\n55694 88419\n21931 87269\n70996 81517\n26933 70386\n18723 60538\n53002 55734\n21883 73226\n8345 24536\n68620 81535\n37969 69056\n9208 75692\n1943 32662\n14623 37797\n50162 59666\n37776 60600\n24780 48473\n56479 66428\n20982 40184\n22483 30889\n46282 53456\n2033 42784\n55235 82138\n151 8911\n1198 74554\n47506 82234\n35109 49498\n13511 40914\n46838 72084\n45711 81450\n52866 95689\n53977 69813\n44927 66163\n39946 86479\n16384 56526\n10947 51182\n3323 75524\n7713 66619\n28881 81327\n32042 70043\n20808 53344\n59379 60614\n24884 61700\n3789 82123\n30315 94439\n3725 55739\n26879 36601\n13713 45672\n43756 82262\n31294 32060\n51033 60163\n7514 47270\n7829 8196\n18811 62042\n70735 98381\n44498 61160\n62084 64700\n38014 60054\n54152 85529\n47824 57749\n24938 57918\n10417 79276\n2955 33817\n68878 78256\n59383 99484\n6536 86295\n40168 57550\n60024 87611\n35842 42928\n42772 63024\n700 93078\n10331 87318\n1260 1829\n39755 55457\n69499 78064\n2086 2890\n72114 83129\n27808 82298\n18888 43843\n1318 38472\n12048 62110\n23972 40373\n12026 58079\n35039 75083\n26995 74684\n9916 23515\n71243 93492\n44184 99380\n29035 87149\n30985 73238\n14283 20574\n47747 90569\n45111 91352\n45485 57346\n36706 96524\n16565 68733\n18386 40377\n66969 81894\n3862 72452\n29351 47397\n33570 50307\n9909 76283\n14475 43928\n1565 8353\n28675 42192\n35623 63344\n49717 85879\n16910 44652\n51111 72452\n54813 93392\n65956 66235\n47067 92173\n4571 87403\n56940 97284\n62802 79567\n11023 49968\n544 30288\n24712 92032\n11358 82505\n26215 92036\n80370 95410\n22525 74381\n74668 82692\n60266 81882\n22507 66756\n46198 71092\n19775 58340\n29411 55722\n55870 73964\n36947 66850\n7824 64289\n33764 90449\n65798 77277\n76506 87996\n6493 62068\n1013 83601\n65226 89842\n23472 84909\n73838 80174\n47060 48884\n68866 89963\n7605 95093\n34025 61182\n18670 57496\n54607 90220\n53141 93524\n13081 52134\n4596 23721\n38936 78747\n33118 79588\n1327 18099\n42649 64033\n20116 90478\n53069 89537\n49004 54224\n6924 97036\n34953 65865\n58995 72872\n30487 36578\n21620 86086\n63204 84982\n35152 66311\n19024 29583\n43217 73838\n693 44979\n47823 94053\n11206 70256\n11060 89054\n27518 67810\n35048 81733\n73892 88378\n40924 42711\n5005 55881\n8006 16797\n64857 88311\n25707 46019\n9656 28324\n46733 60964\n35722 65502\n9163 18285\n61197 64133\n42104 98479\n32116 65872\n44710 65630\n68193 87884\n16273 34219\n44521 48019\n7780 15819\n71075 72081\n9287 73214\n2290 65004\n50607 92009\n67725 87898\n69497 76707\n5231 74491\n16452 97901\n25604 54203\n79429 93558\n27767 30799\n15313 76794\n7930 23405\n5902 74057\n39588 66783\n51151 76877\n79940 90179\n26067 91386\n30684 76924\n63894 80731\n13214 77941\n28813 69659\n54074 70481\n38103 82042\n83313 88421\n19476 91816\n62058 83672\n1579 99643\n70656 78038\n41406 89501\n36198 67389\n20621 39491\n3556 54646\n75349 80669\n3403 47546\n12935 54756\n33574 75836\n2934 13618\n37869 42559\n9772 85858\n11860 70086\n26412 63120\n42950 79594\n41089 88105\n40162 60046\n9825 56211\n31204 64751\n78382 86651\n81389 97067\n41161 53798\n19088 27224\n7500 71279\n6897 83929\n11613 58431\n14940 20176\n51339 54552\n4227 52123\n7535 42337\n34262 59439\n31071 68767\n13137 90082\n39037 68352\n19706 58308\n40928 96808\n39162 44172\n8626 95830\n33310 95277\n64760 70314\n34347 90678\n336 93874\n25564 70761\n20846 72144\n6798 24488\n30966 84038\n78640 94440\n41107 93484\n29016 91399\n4091 16802\n35388 97671\n90415 92425\n66075 91582\n42681 85594\n84746 96184\n26549 46097\n1751 40546\n33938 97012\n47008 56497\n72877 81094\n650 45789\n15370 42746\n35442 77203\n2721 21287\n38715 99091\n34575 98073\n51370 89788\n15265 57279\n12324 49797\n48955 51756\n3123 90617\n45005 48717\n11543 59754\n21198 46340\n42313 73058\n80400 90258\n40665 42470\n16436 86513\n41255 91221\n24667 95564\n53684 68923\n41255 65695\n2585 18662\n4394 52115\n32508 57965\n10522 50788\n99056 99107\n80415 83209\n23192 23593\n41577 55181\n74241 98381\n22249 45637\n47233 56641\n35357 69672\n6907 98646\n39283 83099\n14279 91786\n35025 38433\n6732 59849\n38567 39806\n42196 83621\n22716 25770\n16461 89534\n455 42560\n81465 89503\n3583 44771\n34345 80197\n14403 33735\n43400 76690\n68335 96894\n27603 55706\n62051 79311\n47785 53292\n65857 90946\n1003 13039\n28302 30422\n28897 62726\n38740 89900\n45731 59966\n30469 71219\n1968 31637\n36601 40510\n11067 17827\n2427 11561\n39174 74956\n72533 83111\n20988 25327\n26931 52296\n38811 90685\n2680 54974\n52254 97146\n15166 23870\n26646 36327\n6246 86369\n27952 79664\n17124 25350\n13577 21119\n15925 78265\n26083 68574\n33015 51456\n43032 49136\n74270 89199\n27243 45081\n38615 61905\n36749 59195\n78328 93854\n23611 73364\n76983 97504\n89865 91816\n5968 81085\n11631 50173\n76075 97190\n81480 91395\n11036 68365\n22621 27014\n20479 61771\n1263 12222\n80184 87589\n37682 96397\n60637 84538\n32318 76323\n9294 46357\n1997 64941\n21716 83194\n86631 93929\n36498 94406\n52698 70980\n34135 90893\n9923 44209\n44948 69395\n11715 94701\n12226 26139\n28873 45743\n74159 80744\n24547 96587\n15728 70324\n81893 87466\n76314 99935\n49420 70113\n30811 68877\n34717 44316\n50985 92855\n49396 68761\n571 23244\n11732 61914\n29050 42390\n78157 78554\n6935 23134\n18360 23760\n30461 91711\n4345 32649\n32876 94949\n14206 85509\n4940 32734\n30694 82062\n62709 99848\n4435 54694\n15538 45177\n42752 55659\n46815 87615\n18678 94742\n36194 73941\n50982 78430\n19728 30208\n66379 66973\n49740 61761\n27699 95820\n451 76874\n66532 92434\n60095 74448\n2677 72074\n17986 98425\n10799 30817\n57703 58003\n20025 28619\n17721 32429\n362 70668\n64598 68623\n67295 73900\n3119 9719\n52989 73801\n27072 43349\n47273 51818\n32099 49094\n24747 72192\n57562 83075\n4630 62551\n2877 72516\n74365 82446\n1583 53376\n19968 23959\n12543 60570\n6245 84894\n71021 82948\n18046 85340\n993 4665\n10879 57714\n65808 78158\n9620 83423\n63393 87332\n40879 85580\n10386 83903\n3418 89322\n60942 64838\n8062 86404\n8042 67026\n18819 21274\n81112 85028\n25070 80940\n934 76381\n24200 27391\n61970 79480\n63588 94051\n3860 4266\n65480 96284\n17137 83439\n6774 41789\n24066 52837\n21589 44394\n48921 85610\n23508 27200\n27364 51352\n58943 79952\n10079 28924\n10098 29322\n30076 31166\n20905 25291\n14246 96150\n33760 56550\n65363 76083\n1828 70565\n21988 64725\n26611 98727\n60134 89096\n8644 91004\n84741 85773\n31434 54572\n86362 91660\n63477 97674\n25376 89865\n54690 63606\n39474 78377\n52607 78048\n24758 33134\n71203 99612\n21738 59295\n64193 96266\n19059 75759\n4689 23113\n19113 37877\n45700 83555\n22747 92967\n30705 48947\n11149 70525\n74691 80014\n86001 95318\n17184 67020\n40366 60824\n7767 37190\n37002 89376\n47929 98558\n771 34032\n55185 87870\n39693 42773\n9747 99195\n1315 74024\n36428 96325\n26521 45334\n35582 79863\n38716 76112\n222 74580\n12048 75741\n5652 56040\n4434 30100\n11999 74398\n36704 42406\n41189 67301\n294 12494\n27090 97632\n5558 44655\n7199 57633\n42550 57030\n13630 18740\n12974 70878\n29919 69779\n54890 67926\n3282 38511\n46657 69997\n37237 49547\n72244 93062\n12633 16490\n36191 78659\n29234 75554\n46940 99447\n4374 21073\n66973 70256\n17218 17626\n27305 84387\n47698 60290\n87696 91488\n67752 82609\n3058 21020\n8883 54250\n8551 21559\n32163 54729\n19935 59044\n31103 52091\n4996 45908\n45098 66357\n18091 68225\n16859 30100\n57979 63175\n75708 98024\n9430 49563\n52373 55849\n43492 87456\n8579 82243\n49646 83191\n40259 57984\n6588 91628\n51816 61080\n76081 99046\n23062 74224\n34232 93374\n67876 92603\n19417 63979\n71582 92821\n73161 89805\n33496 46265\n44041 76646\n86571 89806\n59373 75748\n14809 29551\n24149 28188\n29964 31095\n15463 55345\n2189 11914\n4634 56245\n85716 88890\n73127 81532\n71309 92558\n7643 85032\n76149 91506\n8610 34893\n10370 31785\n19629 75396\n37220 41366\n18797 98640\n5029 40093\n22477 97379\n11441 97620\n11752 73830\n29707 74735\n59004 71533\n23157 55443\n49937 66139\n44527 86812\n22695 23828\n3 43704\n21254 65101\n18719 87091\n78236 98097\n4224 76861\n66815 89851\n7854 81579\n71729 74838\n6368 54192\n5659 46839\n58810 83749\n22339 24477\n70284 70374\n5396 73569\n38396 69958\n29363 32929\n2017 4452\n518 73681\n81433 96208\n11414 67561\n81267 92887\n19870 97450\n5670 91888\n54966 62928\n27844 34810\n30363 45475\n23028 67427\n51274 84830\n36650 38515\n3065 67831\n21112 42525\n79163 93053\n13821 85946\n8784 65968\n44039 97908\n5249 93967\n4805 62123\n53818 58627\n43798 92713\n42103 92695\n4463 89022\n768 61197\n52121 95225\n185 96552\n7860 9608\n7266 68241\n46899 64100\n97218 99530\n74873 75960\n1597 26663\n89896 92129\n9752 60652\n16847 69039\n66164 67186\n34151 58533\n19987 21389\n7206 83731\n16696 40814\n30648 39197\n20308 45835\n35808 65335\n20844 92033\n39211 86339\n28324 49079\n13309 94838\n47578 83424\n10044 67580\n70023 72072\n10531 55460\n45574 80112\n47627 59420\n5580 37318\n9816 16547\n74129 98568\n35540 84903\n59031 71130\n14874 41897\n46573 62445\n73331 94062\n19817 94757\n43760 98697\n60741 84542\n24542 97164\n68887 97368\n47363 71232\n41262 49564\n24037 52355\n35421 57998\n57883 63429\n75368 95677\n8160 23325\n68842 96798\n56105 82481\n11368 62760\n10611 19391\n5596 34810\n19127 66931\n8152 16077\n68744 85261\n40771 87638\n11996 44749\n8277 77206\n35578 67129\n53908 97780\n24498 92761\n7944 30158\n32283 83381\n59404 73905\n42878 66262\n14611 64359\n86846 97644\n40430 79193\n62059 69096\n58570 77955\n50330 98473\n6226 74228\n8064 96275\n2111 17873\n632 45827\n7419 94625\n652 49636\n52541 56048\n72380 84158\n46233 73524\n22316 46937\n51219 87776\n12952 66526\n6422 64659\n22521 95977\n51923 63838\n29233 83696\n11367 66060\n20554 67080\n5660 32145\n22121 63347\n6170 67937\n7951 78074\n80945 87536\n83311 92894\n57095 75314\n34484 87362\n51706 57258\n38738 85477\n4732 48701\n57343 90224\n18453 83860\n29701 78875\n49283 88770\n11972 33800\n37000 72698\n40637 86591\n40335 52270\n15247 34488\n41874 85830\n1892 56462\n15007 17235\n2943 51084\n33429 84772\n39202 76188\n43667 46637\n31868 45628\n82384 89517\n52938 59223\n67016 70282\n1760 44450\n39282 73652\n19701 45609\n32363 40853\n36256 96077\n63783 67266\n6186 25497\n35168 76791\n29209 39189\n5595 91795\n9195 82418\n4296 79874\n41757 93948\n32375 50450\n11163 30998\n28714 62607\n44259 97568\n31669 73221\n60044 70349\n26058 85029\n8452 84231\n2871 30539\n74807 84132\n5430 56022\n26688 89959\n36171 61640\n41467 92872\n25547 83579\n55210 75630\n32503 92786\n72531 81198\n32829 98438\n67292 70568\n10533 62357\n23567 84095\n29421 99989\n19725 95196\n25606 27638\n11527 58065\n38679 45355\n4207 83587\n48450 90867\n40582 77451\n3164 44884\n25859 48153\n24874 71791\n31592 95393\n34719 90817\n71431 83528\n23827 26070\n75853 83816\n54802 78877\n48508 81268\n41944 66366\n19675 88339\n7872 44103\n22247 68698\n11888 91219\n5039 45279\n61697 72514\n51011 64749\n31747 63786\n38186 65770\n18179 55089\n6096 85078\n34570 47587\n46934 77858\n19855 99740\n4246 63133\n31278 39745\n58709 66138\n7866 53714\n28405 78753\n9723 27261\n29517 42496\n40356 67942\n69618 91610\n16175 22589\n11535 31736\n10005 37656\n21993 53460\n41523 49337\n8621 65871\n15393 71835\n60533 91924\n58088 90912\n10283 95553\n9503 90133\n26529 85804\n26224 62699\n8099 51434\n11066 81192\n13533 67016\n39714 40580\n15448 75220\n8831 47010\n52626 94229\n60919 89428\n20187 56812\n23804 93326\n71509 83823\n48002 78799\n47945 96405\n43292 50411\n24639 62093\n71798 93394\n25559 38266\n3692 49210\n8688 99324\n35536 66431\n76439 88544\n666 18493\n49651 72303\n15727 17106\n8658 95182\n10338 54006\n51410 86913\n7230 55336\n33012 33365\n34916 38487\n22520 48363\n14438 21287\n3095 89808\n42801 77725\n75483 95357\n60001 96938\n70967 90768\n33582 43792\n12976 63234\n32171 94738\n34942 96349\n61594 84651\n43165 69288\n27461 74657\n43257 56289\n53770 55694\n32229 93775\n47312 67734\n28055 50076\n13015 59578\n86678 94358\n8552 87353\n3 97840\n26869 33753\n53140 70236\n38549 43603\n77970 90623\n7023 68803\n17594 74417\n25168 61923\n30632 80000\n34410 45235\n23260 42877\n40912 46961\n3324 44290\n31247 45681\n6335 73962\n12202 23370\n2183 77848\n65627 94820\n38464 52951\n83705 96282\n7528 94959\n35840 63406\n279 62492\n36977 44891\n32157 40165\n49318 68678\n30007 51496\n2065 45848\n29274 46367\n59772 90673\n60357 98796\n82107 83153\n33222 49659\n17227 65007\n21037 24661\n56209 99462\n79514 88029\n17619 42497\n70045 70879\n15883 98161\n31641 46248\n70116 98831\n9625 64389\n2229 93954\n57545 98455\n33711 76451\n68287 80040\n51688 84169\n8435 23384\n3177 18293\n20397 26765\n78057 92605\n53065 99059\n35840 63523\n7455 9810\n28445 99705\n59544 63040\n83350 92800\n36400 71233\n52705 70807\n30566 63205\n6337 10008\n8560 42418\n24018 58123\n38087 48809\n61932 83406\n18104 80969\n1073 23687\n55291 97107\n52009 60845\n5233 8531\n23202 53491\n5910 49432\n43101 67814\n49731 89711\n13474 23624\n9983 73383\n9412 87395\n75708 78379\n68827 69276\n23500 50502\n19425 99107\n76581 81460\n4712 9335\n40075 54212\n58323 95830\n21026 29131\n14939 34503\n53783 64797\n19428 65185\n5595 13788\n44027 84893\n26661 78744\n7524 55425\n29900 82381\n4027 33474\n17662 35785\n7694 63739\n28047 33951\n22108 93723\n31589 63838\n11584 55085\n81454 99747\n57767 90485\n18854 29309\n16912 58458\n18654 74003\n12806 40622\n20193 52437\n22501 54963\n35242 60767\n34368 96737\n30883 88934\n77831 97804\n78822 79375\n38406 96615\n76913 92740\n23370 71542\n65041 96342\n8009 20276\n8206 86648\n31504 56659\n42254 61771\n65382 83606\n19044 40769\n64240 66697\n37503 86925\n97456 98617\n57810 88773\n64640 71750\n33429 85097\n59156 97186\n2708 59508\n20133 92401\n25722 37473\n87783 90607\n44781 66782\n20801 23271\n58253 67219\n55852 75457\n10177 74200\n6392 26929\n72277 81752\n12202 53023\n9655 64625\n10835 64737\n21850 25918\n22011 22595\n28774 38963\n8281 70652\n53915 73173\n23324 48165\n32867 55001\n21286 48099\n12794 75918\n25362 32905\n57851 99186\n19162 56617\n36096 38509\n2400 40057\n37346 81327\n37110 49789\n10587 60017\n24136 41185\n24641 55518\n54913 55876\n41134 63700\n26694 30423\n15203 41746\n71961 93441\n31323 63784\n43148 52435\n1382 32335\n9073 9745\n24793 88589\n12779 56380\n42375 66199\n36052 74285\n8019 42554\n54065 86885\n281 53783\n35054 86263\n71022 98833\n32815 60899\n69018 70061\n20278 78352\n44780 46187\n59452 97875\n26726 61351\n9239 13251\n83519 98146\n60338 70163\n2502 36901\n42404 57740\n56592 74108\n29219 55469\n27285 91400\n37180 63191\n20802 64536\n7287 71438\n26177 31203\n2178 29672\n49338 96044\n27256 31539\n45346 61621\n41098 54842\n5655 58589\n15508 65007\n26908 77894\n1635 23777\n54520 99174\n70768 88586\n8779 72485\n62775 99850\n60133 89400\n67678 74112\n5218 67059\n16065 80497\n41075 50025\n46853 88907\n20289 81109\n481 7294\n43665 57103\n52726 92530\n42947 98698\n11430 81930\n38552 60229\n5287 28553\n54833 63528\n21520 49282\n43524 98738\n17802 40813\n2932 28418\n35143 94627\n15673 81641\n43186 95966\n48609 83993\n30095 94917\n55957 69936\n13274 66366\n79433 95874\n65179 71492\n4532 24904\n19248 33530\n47658 97916\n32401 41089\n3118 96049\n5697 27464\n74448 91186\n32617 82126\n33252 91298\n38267 55611\n38598 51925\n45899 69008\n44550 95274\n55698 74618\n57087 72399\n72121 86137\n4377 95527\n56801 79265\n5776 13844\n61578 67066\n34091 58836\n66705 68395\n46355 77668\n10374 70035\n61557 98480\n10032 62971\n31534 54430\n60421 70492\n80164 85236\n29175 77523\n32254 93631\n62073 70123\n2013 79940\n25604 50075\n14986 77834\n39325 51468\n61104 63065\n15417 53053\n76991 91720\n887 98302\n2221 57995\n55562 96958\n1314 79241\n39910 79077\n2814 58176\n44080 91406\n3328 89498\n11202 86692\n66713 88635\n41290 63137\n30972 71989\n16020 78591\n5030 9164\n7072 27450\n18703 69336\n41864 44891\n30738 66421\n20476 45462\n17364 29428\n18534 59198\n4477 72745\n29361 70720\n66901 92359\n41161 68878\n43545 97222\n36976 50588\n42085 82265\n7350 30376\n16744 60239\n5770 46979\n45704 90893\n24488 40383\n36308 57459\n42703 50862\n82435 95647\n30878 41418\n21108 71135\n18990 31897\n34005 80016\n74685 79538\n14421 43345\n33203 71025\n31214 79389\n42356 90694\n68974 91184\n4581 61893\n18328 19511\n58241 72399\n35659 65427\n17641 98372\n41437 86037\n29074 72471\n54619 79599\n32590 94719\n34514 50450\n44049 99422\n12396 24483\n52181 61829\n37948 73466\n46235 83864\n78624 82464\n17313 35726\n47268 51652\n97719 98451\n11135 56655\n17306 18416\n16698 46377\n74848 96102\n11378 20261\n7535 51355\n39936 50017\n9238 28043\n75776 95548\n31085 55591\n72773 86264\n18847 83523\n6418 47183\n49362 52362\n53241 71392\n350 74973\n32790 54126\n17036 55221\n12791 47389\n16778 26267\n10209 85722\n11453 30058\n14852 68892\n73012 93227\n64480 88001\n38440 51821\n9286 96346\n1563 6749\n81063 98275\n42961 91236\n903 71038\n91898 98817\n42195 97316\n19087 93035\n26678 78696\n61459 95329\n22204 86298\n7892 26698\n23723 45461\n66323 99512\n95475 98782\n1408 49893\n17641 71506\n84807 88341\n14781 63720\n6731 50227\n38213 52898\n29626 96071\n57882 85244\n56709 66300\n57451 67556\n60151 99429\n1947 60238\n16111 45204\n16955 29420\n9 55467\n60277 88222\n5797 32368\n7301 31558\n6869 8312\n20976 55832\n58979 73851\n32755 45875\n49933 92726\n17065 52209\n77101 95368\n29859 75431\n20948 48645\n51841 78021\n68884 94586\n82279 84577\n45836 91715\n63860 87116\n19166 44895\n18330 47001\n83647 91782\n53688 83641\n11026 69975\n11243 27716\n28103 74624\n56707 74432\n80584 84335\n62956 69908\n20397 54251\n31234 38694\n9668 46295\n77541 85351\n47672 73110\n54243 75878\n9805 92281\n75833 91682\n51720 60985\n12646 32854\n47542 72114\n39757 69572\n57333 64734\n55232 85007\n34171 77357\n12700 63475\n18161 50253\n32859 78633\n1723 35897\n48301 56632\n40469 49896\n54270 92481\n52017 70928\n29853 83810\n32614 96442\n11526 25004\n9761 59101\n3344 22105\n2689 84239\n41889 74704\n17164 24521\n51274 60274\n45722 67901\n48000 82048\n4316 74578\n31533 63595\n23622 83234\n44084 51675\n44850 98435\n30407 49148\n4838 92710\n64333 64779\n21833 36011\n6257 86258\n66845 72937\n67539 99781\n1606 24503\n17552 68521\n58554 63930\n18166 98185\n75859 81627\n51703 80742\n11884 13871\n40827 72124\n63498 95626\n80767 93329\n76403 90335\n25765 37653\n13523 63058\n48948 89760\n16452 29980\n15630 91276\n70851 72652\n28474 74278\n45695 85009\n14175 78551\n36153 45544\n26299 80728\n33593 90981\n30732 42914\n43222 49490\n24512 84398\n543 93428\n32788 64867\n30292 99858\n49760 81633\n6547 76146\n22762 76490\n76130 76583\n25800 34802\n43052 92868\n15064 59345\n9508 35087\n33262 34009\n958 97192\n21882 80867\n89956 99623\n57921 88669\n43145 45351\n21827 99689\n56658 97242\n26099 72743\n27042 92688\n596 35296\n36432 57274\n26725 63600\n34564 95595\n45831 49510\n78114 97175\n46625 68684\n27577 86375\n10537 37382\n42446 82655\n81924 89055\n89309 94262\n82160 84753\n56775 71585\n39772 70318\n2796 76364\n74935 97392\n6437 24500\n39143 98002\n6851 64389\n57003 70790\n97630 98747\n69220 76245\n6936 35200\n61090 92432\n13395 93983\n54850 60246\n15511 15603\n31317 70895\n19511 36484\n58992 75339\n50860 52693\n12679 65228\n47043 69808\n31759 34947\n10500 83578\n19195 21900\n34672 78177\n10661 87832\n80114 80787\n21771 94422\n10052 55847\n51768 88374\n47112 69453\n1888 7300\n16002 78551\n32165 74349\n40512 98312\n64677 84526\n45782 81269\n55691 97906\n12196 81892\n9357 23878\n62642 68286\n65857 77154\n35205 78645\n619 7000\n18356 84402\n33736 60292\n2879 11348\n28230 83634\n64873 93123\n15935 32376\n6425 27605\n32844 84647\n19683 94627\n22957 49366\n9649 96386\n45574 82162\n25497 46977\n55670 78594\n84555 97896\n45511 85027\n1435 96045\n56018 74758\n75942 77146\n41160 59653\n8570 46710\n13458 50856\n7717 75813\n48552 53535\n12890 88032\n25242 50976\n8480 15452\n45678 99329\n23474 40538\n20339 30117\n12319 23857\n6236 57906\n5405 12480\n7941 97179\n46007 66466\n9642 80013\n23141 27561\n155 84825\n32055 67393\n43682 52540\n49175 87317\n42205 94014\n38022 76733\n55185 58161\n18404 22607\n5660 53954\n25340 56533\n11143 12209\n30854 81641\n62181 96432\n19161 86027\n61397 80289\n21088 22497\n29816 31039\n760 54124\n4699 53959\n8341 41475\n23192 33070\n53253 65348\n21775 84399\n6449 6546\n15463 59382\n51245 64846\n13220 49648\n51524 57440\n71724 84463\n405 483\n12408 74217\n60734 76194\n38802 78456\n4440 92180\n49673 85808\n68301 99037\n13343 32487\n48106 74763\n23485 55909\n28311 73016\n12389 15001\n30443 72672\n14612 20639\n36758 45935\n7168 32924\n11319 81939\n12710 77465\n45063 49571\n70836 82463\n91024 99070\n55449 70176\n29752 73107\n66514 91255\n53707 57159\n22719 62029\n61255 83718\n90523 90982\n50735 68268\n36280 89223\n74427 78535\n39305 41296\n18649 23235\n4106 12669\n40216 99007\n15247 68842\n57498 76382\n71079 95415\n7387 98717\n31222 58814\n4038 68875\n75930 88735\n68589 78195\n11679 94383\n14580 79109\n32736 93858\n44456 91429\n21545 36923\n62576 94262\n21039 22230\n28647 98008\n70301 89269\n22120 69045\n75796 86885\n16122 79413\n61868 91432\n22638 47709\n72221 87186\n7118 39431\n23774 80645\n4770 17488\n36786 51923\n673 79381\n64773 89348\n1533 53013\n51956 77612\n6387 84626\n10745 43920\n31012 94267\n48074 78342\n17833 19796\n41142 96701\n12541 68497\n3369 59824\n8686 74580\n30935 88499\n16156 53548\n43673 75742\n3470 59774\n16249 88529\n28774 48976\n20157 34482\n3959 32473\n20447 98152\n371 69240\n41569 46220\n28929 67070\n28679 72105\n5449 42073\n64154 74089\n54543 98697\n52355 77332\n12543 73697\n58938 60626\n34612 92684\n21655 54150\n37184 97570\n8869 16601\n12662 84344\n69782 87063\n10999 53036\n24504 60234\n21028 97643\n48482 84069\n5639 63223\n14348 55746\n32539 72355\n22918 75322\n1605 72197\n40055 65181\n28089 96256\n81042 86239\n67952 99693\n89726 89947\n69250 93013\n61765 63115\n18283 91014\n78130 84809\n18108 79268\n21912 82209\n12384 27481\n10904 66069\n36643 49766\n1994 67083\n4579 5578\n15067 97148\n3172 64882\n11140 73675\n3260 64063\n49866 94419\n35394 42947\n31494 59665\n53812 68967\n7052 36200\n7133 38882\n6562 33555\n21040 39195\n23756 81733\n8413 50192\n27248 82402\n64570 87734\n9756 93532\n23249 62384\n11695 76697\n4116 98446\n37553 77407\n30436 43298\n2679 6342\n17281 56987\n59702 98063\n57755 63151\n55350 77630\n21507 77121\n15930 26875\n49185 92341\n32881 40578\n69936 92063\n49816 77653\n7678 75996\n5911 73246\n13410 71830\n93022 99640\n1474 71433\n9831 67966\n47922 82931\n21752 52104\n22609 30760\n485 96968\n58218 93001\n70279 84176\n52425 72091\n26961 61691\n7036 93942\n37629 83762\n21415 44821\n29076 60815\n59003 67850\n25931 84093\n51967 85632\n82004 93488\n34297 40022\n18116 47790\n6766 90722\n46394 93605\n77961 93193\n59511 91911\n42318 72652\n6632 12419\n84375 86928\n30011 41813\n31675 33174\n87647 97732\n37762 71766\n12327 75698\n53823 59693\n7419 73733\n4785 21744\n33613 89615\n27074 98879\n32753 69613\n31942 72819\n735 82445\n19836 39130\n48356 54101\n55710 57011\n16429 94135\n31603 71406\n5856 89728\n41765 91378\n16635 74405\n3466 38610\n81703 83648\n837 75229\n22501 96708\n41480 43143\n85374 92930\n64974 99478\n17269 47029\n5288 9934\n30276 61803\n51048 97811\n3404 98122\n21920 41383\n8945 49883\n72419 96698\n40694 62115\n17387 25298\n83695 94657\n11573 25689\n56268 58966\n7107 62789\n55975 95666\n14479 77179\n66639 84309\n78702 88725\n25563 88670\n52233 65926\n16446 84671\n60215 75961\n48432 69475\n9387 85006\n17320 59586\n34422 70189\n36029 61375\n15205 78301\n15752 61378\n11611 94858\n59943 67645\n97730 98733\n6863 33680\n6422 69756\n15125 22409\n7173 19928\n27316 90497\n33477 52664\n7099 38636\n25275 76073\n24546 49603\n42277 70419\n63745 84665\n8476 91222\n63008 91309\n7144 86781\n8805 34545\n50866 93838\n48452 70984\n41151 83508\n19335 42537\n51445 70989\n41424 63071\n34077 70297\n37712 91934\n19918 49960\n31806 72995\n53675 83718\n42932 81228\n39774 98201\n5226 89060\n50003 91349\n84704 86572\n61735 64812\n62057 65613\n4210 83447\n3531 66016\n52270 64891\n48509 78503\n36883 92580\n53974 63826\n10444 56530\n32958 33253\n26020 56718\n39643 89228\n80375 83534\n44309 61249\n93874 97680\n40520 98448\n60618 99928\n11358 39807\n54181 80380\n39768 46296\n47152 91006\n60968 64911\n30496 53097\n45379 55393\n49222 90481\n47741 55939\n35776 42675\n30089 62252\n6692 31362\n7147 61624\n77318 96396\n24692 68342\n10569 36595\n27092 91255\n15619 80099\n43150 62860\n15001 87467\n37243 40727\n21524 75768\n31579 49733\n35407 58058\n11153 65964\n7504 49999\n62718 93848\n9956 61835\n8197 92701\n36199 91504\n28126 47061\n74856 75038\n35873 38499\n46892 49328\n49696 98777\n2977 8919\n61791 65975\n57015 75720\n49346 97722\n11202 36969\n62733 71870\n78 63615\n51416 78360\n15664 63325\n72033 85534\n44178 95165\n58099 70744\n30852 39923\n654 17367\n42708 94978\n6728 27572\n18922 79351\n20489 41581\n39598 57842\n39078 93593\n23093 29717\n27298 80175\n14255 56876\n6634 56509\n13230 29555\n14536 18395\n3734 48348\n59571 79697\n80766 87913\n31597 54334\n44044 85455\n35290 60781\n50356 65298\n19668 63259\n58189 74056\n6366 34121\n13255 90662\n21115 90076\n26390 27411\n7011 90314\n12250 77023\n55137 67093\n20279 69550\n24795 44476\n79997 91007\n1478 31551\n33912 35015\n84434 93439\n21626 83394\n48998 62254\n12308 38353\n58945 63265\n3503 21320\n8880 59499\n87934 97922\n25086 36113\n66764 83930\n24489 35318\n28117 57539\n6644 34638\n16677 96024\n2535 49654\n3453 87481\n11682 85857\n68985 97600\n22834 83356\n45886 51783\n20574 32778\n43324 91010\n56694 70315\n7264 43487\n8737 41520\n18900 35247\n38923 41603\n25611 52727\n11271 95110\n36221 69316\n34408 88789\n63483 78206\n10640 57761\n28185 33822\n221 83499\n50398 69026\n17595 32713\n82636 92831\n38493 97469\n35922 67792\n58814 63749\n79863 97559\n3855 25889\n5654 38947\n65415 79654\n54731 94298\n10409 97121\n55413 67605\n473 6792\n29017 85352\n6480 73891\n15517 87909\n30810 78855\n37354 71616\n56859 61181\n32249 43965\n52538 87263\n35151 74768\n59351 91990\n29026 61032\n6838 68926\n1844 40605\n4324 63954\n12199 52132\n763 64100\n13253 45056\n13486 89195\n54101 83233\n16144 99555\n41203 89276\n31306 37006\n37932 50424\n84937 93410\n38039 74249\n20667 29515\n18708 27272\n29527 69468\n9096 43637\n33359 94982\n17780 48826\n28655 62945\n54923 88247\n32565 95829\n35583 74357\n15088 31713\n34704 38843\n53541 64861\n74645 78756\n9078 89835\n53609 53643\n38899 75562\n11786 56249\n10152 10446\n3864 38114\n9666 38880\n60530 86541\n41065 89525\n84143 86900\n33310 48132\n22557 86285\n25059 93316\n18697 93395\n18262 19708\n57414 62915\n3376 47373\n33778 40739\n26029 91379\n3097 81065\n34274 90280\n39253 86307\n27182 63774\n55884 69100\n12240 34592\n46687 93428\n60854 89981\n13250 73977\n80280 93665\n27529 86713\n44209 62295\n15699 18336\n52021 71161\n79384 82811\n8074 49679\n36184 77592\n27615 47105\n19621 28190\n70679 76909\n70447 74996\n75255 77694\n21908 74670\n24322 56515\n28215 43270\n81502 89474\n39989 89647\n54046 67361\n27838 65807\n6613 7605\n4698 30335\n96199 99276\n14464 61453\n34077 78585\n42895 80015\n6608 78344\n69704 96547\n39965 49586\n51045 96541\n71791 94003\n21466 93402\n26316 92743\n1121 17285\n5672 74935\n22730 57404\n31110 43098\n10875 74323\n22534 59269\n45178 76307\n2487 19132\n19103 61101\n40161 49065\n34079 60137\n25723 42251\n30506 76357\n25075 81708\n15635 93453\n65808 81154\n1673 7874\n68888 78400\n7708 61046\n28004 54324\n56982 95652\n50521 80623\n20477 35899\n20427 41465\n61924 70950\n2462 56810\n7236 68363\n81055 88616\n85339 86232\n533 6696\n64304 83987\n69934 95431\n42437 79845\n33394 71712\n13131 88055\n57702 66957\n12551 96914\n10572 19510\n16825 74649\n47174 72013\n5440 82350\n7513 15233\n64434 80219\n83731 90218\n46489 53602\n12657 16986\n66837 80934\n66399 84769\n25742 56305\n45757 75764\n57556 73917\n25888 83759\n41458 83361\n12508 13730\n26653 96686\n25039 31195\n2226 50785\n26807 82945\n6130 25164\n63798 86817\n89342 98770\n35786 39155\n29290 65926\n36677 91179\n13288 80430\n10415 33442\n87755 96534\n44460 72611\n67484 88595\n5788 32487\n3570 42418\n13938 61437\n49396 64883\n27681 65379\n63334 80513\n33390 34865\n37564 73064\n70488 84609\n12176 76688\n86074 87542\n36705 74801\n47213 81076\n38824 94454\n48203 68215\n8343 83352\n75999 81404\n11376 72560\n67876 85489\n34876 48711\n36831 99045\n58855 68998\n22008 39830\n27207 77252\n13425 18965\n40887 97928\n9105 39800\n3225 52827\n90917 97413\n31124 36930\n26419 45523\n2943 23518\n4978 79492\n62833 89857\n69095 73116\n39596 88232\n6387 63343\n45922 56649\n69387 82824\n42190 93460\n20788 94080\n72871 75513\n13519 95783\n47660 63870\n25561 45746\n33410 58868\n44106 74404\n1947 24295\n35466 72861\n62305 70363\n30765 52894\n6510 83204\n32851 99595\n22337 95878\n39288 66195\n8547 33931\n25314 70388\n63065 65435\n54838 79848\n43045 70167\n42576 50763\n5597 93421\n66731 94441\n13153 32503\n31 49368\n16150 82430\n55944 91047\n13648 87670\n59356 88394\n14555 59917\n2533 4895\n25304 69547\n14724 85635\n51845 97185\n66306 85354\n12019 94025\n25085 30085\n23087 37061\n10584 49736\n8289 91833\n63331 82564\n7374 49161\n23794 32762\n65237 83691\n40546 98261\n15841 50062\n37040 97451\n18223 83891\n162 94699\n49707 79824\n61933 89138\n39082 49257\n2908 12273\n9640 17328\n53815 82499\n8730 43798\n88835 88928\n51447 86150\n33694 43499\n2934 85906\n64223 85669\n57925 88060\n58936 82084\n1966 55518\n23788 61982\n51168 57210\n17591 99262\n37766 91072\n18453 28877\n11895 59880\n6822 89435\n11849 24923\n18150 39469\n27710 63264\n14309 73489\n60888 81216\n12348 80365\n33739 45010\n59968 78348\n26695 44892\n14440 61546\n63555 75105\n17155 98554\n49756 97159\n37790 55158\n35078 51149\n15709 43041\n18213 36203\n31171 44995\n18905 90401\n5231 39791\n54617 98014\n28443 43350\n46422 49985\n13817 88232\n80661 92913\n10920 22973\n53403 88334\n86288 99133\n66333 84992\n837 21112\n43600 89571\n16664 33288\n8759 61141\n40575 51835\n8540 19587\n49633 78232\n1634 19639\n48742 69039\n46623 58863\n32347 75020\n35885 40657\n65622 80999\n13306 93862\n7124 87124\n11315 16908\n14014 68320\n16552 24624\n12207 63634\n2678 7311\n27101 83048\n46546 83318\n15110 64277\n70207 81991\n15487 55720\n75195 80845\n20205 23422\n61202 87218\n55792 67963\n60261 79673\n41574 89138\n13586 39421\n492 32515\n44108 95173\n23721 90824\n21594 91926\n35116 35504\n21550 38430\n12226 29022\n17312 54289\n10200 26321\n46860 53488\n55612 89690\n34375 83818\n3102 66772\n42692 48735\n4531 81079\n4434 66807\n72579 87106\n23597 86017\n71239 76690\n17428 84083\n17086 28897\n12919 60946\n63856 87405\n17260 81945\n5826 40071\n33894 78477\n5166 84899\n32807 99740\n89628 93815\n17619 37343\n22845 49858\n71305 81962\n4754 36231\n77127 99623\n6498 8511\n265 69161\n58341 84762\n36746 78913\n76428 98697\n68560 94491\n35294 78712\n11908 40216\n806 64204\n15654 22604\n25802 84526\n12150 46029\n29949 36590\n19948 22755\n23531 30850\n10200 62821\n9536 89799\n56614 63662\n18662 45651\n13163 79441\n34611 35856\n59104 93258\n25315 79454\n27892 61393\n9385 99859\n69997 91033\n46 78578\n20840 29604\n15483 35870\n4310 29009\n77617 92210\n3453 80965\n17426 33147\n13051 63777\n17794 20863\n14412 62535\n29709 94297\n72602 87273\n72465 76566\n80229 98828\n27336 69488\n17404 32386\n77523 84742\n20562 28637\n19504 75081\n38155 85286\n60444 66415\n34528 99303\n48247 56316\n19413 58034\n56357 87771\n18373 70186\n28498 48670\n88385 91768\n56007 60254\n14276 53302\n13561 13979\n20619 83974\n8288 16116\n23237 23516\n13742 51884\n21586 28250\n52216 88919\n21985 67888\n11929 55761\n2791 23571\n3439 7786\n10054 64410\n13154 58603\n6075 26940\n13374 54541\n64354 75901\n41859 86996\n82501 97119\n31932 44741\n49649 53767\n41499 56647\n14578 97195\n14075 28597\n4427 21587\n18710 33603\n13080 99657\n31313 66337\n19659 39813\n2920 18603\n63932 92111\n17111 30700\n3693 22134\n35510 99363\n56000 73167\n28912 74042\n11350 91734\n27794 96266\n63653 92064\n62871 65410\n32942 48358\n14285 71580\n21592 84129\n55863 79607\n2588 55332\n3203 22482\n36324 62866\n40355 64272\n3682 85264\n48169 87444\n56076 57723\n10848 86303\n6967 48944\n7105 74764\n1218 85360\n36812 65926\n32547 98323\n19627 74408\n33626 48000\n31862 41616\n3008 77681\n43078 71700\n28535 32886\n590 52454\n44827 62478\n25806 95624\n13608 87948\n2298 9592\n64111 95080\n7616 31831\n20679 40133\n9008 14449\n25070 83161\n42476 76385\n62020 92179\n6573 91858\n85382 91559\n54050 80656\n87894 94687\n17989 26982\n17219 31479\n34960 68004\n11408 82417\n14591 35665\n65707 66904\n39630 42862\n41050 75011\n48598 79511\n19814 81767\n8402 82809\n39204 59832\n37445 92382\n8534 54936\n26457 67856\n19732 61206\n18648 50923\n51676 89272\n22723 92296\n12218 73240\n41276 78191\n31353 84719\n5981 58189\n30964 36487\n34505 71375\n13717 29750\n24729 81645\n42338 56821\n66961 72710\n24633 81312\n76418 78872\n5036 60712\n82194 99231\n61228 68275\n26998 32420\n18334 58154\n723 46196\n59940 66062\n54649 64696\n13272 57817\n80588 86989\n18894 71798\n36900 50050\n83458 95379\n55121 88708\n14900 80996\n17584 57115\n22328 34349\n13079 60400\n83578 88277\n29262 58185\n18246 68785\n8966 37035\n26156 58310\n57708 81186\n42345 43237\n18620 64787\n12549 46469\n33249 49782\n83567 86340\n50335 56739\n54499 91898\n71525 95561\n40340 97603\n32759 57675\n36471 60483\n6637 59427\n7183 56853\n18380 18607\n45964 67110\n2203 60336\n28478 58693\n11763 81816\n24514 92210\n36346 78673\n45092 47163\n1559 50100\n25896 62148\n11750 50264\n66570 66765\n78961 92024\n71401 75222\n13936 98538\n39768 90108\n36035 76045\n20633 88582\n24528 93147\n3355 38076\n37016 39258\n23084 40627\n17685 99528\n25406 38292\n82240 97528\n26034 35462\n76841 96422\n44701 98452\n6676 49269\n42592 76700\n64035 93538\n56786 67074\n65248 95411\n49704 54322\n9592 83191\n7688 83203\n11327 13167\n35271 97607\n76958 78149\n63345 83136\n4211 92777\n2100 3154\n28183 96148\n20167 32608\n35089 82316\n12488 81224\n197 12956\n34075 90033\n66089 95621\n2730 99775\n53195 98425\n54067 69058\n15177 63029\n3737 78337\n11587 74499\n41702 48815\n72561 94956\n25961 47764\n6754 96201\n17614 66609\n48825 97886\n59503 75604\n16498 31282\n31642 89517\n31067 77350\n44256 55850\n25949 70738\n41049 52687\n49806 87909\n41856 89763\n2247 68076\n27887 80829\n36959 91606\n33311 36047\n863 46980\n77615 88580\n4361 14986\n26377 49643\n12763 20911\n60360 60725\n55549 94789\n88347 95654\n5366 33139\n47176 88717\n5478 53775\n27110 66275\n24118 28896\n44357 93789\n24925 27552\n5014 22067\n30522 86185\n11839 25757\n45588 76117\n11367 82138\n48967 93739\n73420 78562\n2324 64026\n37447 78863\n85595 93288\n37423 79320\n88109 92987\n15323 76740\n48125 76536\n19447 24612\n48667 49529\n39935 48685\n19296 40453\n22973 66286\n53941 58462\n71170 74749\n28740 52935\n55591 96791\n12352 41704\n5522 64548\n44226 95807\n77604 89843\n80235 82216\n4840 71027\n7392 24385\n12005 52012\n51721 75142\n73024 75372\n41093 62731\n38729 47326\n25914 69323\n60867 90725\n54122 88642\n36001 86422\n11121 78547\n13778 50045\n71841 81132\n23943 25158\n48166 89814\n17208 80735\n30516 81622\n23719 69573\n39599 73392\n21875 40197\n29213 74916\n56345 64782\n20435 52513\n14583 34200\n13882 14165\n81486 97393\n11295 66551\n81555 95435\n46773 72574\n25998 96814\n52095 80951\n50344 99299\n10273 23653\n6692 50968\n6555 26651\n22973 52597\n48523 72550\n62682 89431\n1922 45774\n82503 90197\n30391 32406\n10877 18604\n74207 95710\n57770 64585\n335 55777\n43955 74778\n36538 42497\n55825 79675\n89461 99439\n20457 77760\n17059 29741\n13854 95049\n8665 26131\n77854 97527\n62211 66441\n12281 65666\n66197 68735\n2868 74001\n78661 99980\n20230 73569\n73042 91563\n15256 63586\n41229 61354\n21869 33562\n6544 10100\n17312 72092\n32863 86108\n33787 71951\n60720 82100\n37049 81487\n14262 38182\n12146 38706\n21302 25243\n73014 92935\n51609 85952\n31323 75883\n49580 73182\n39577 75876\n83341 87100\n2330 95304\n24359 68053\n50308 64313\n48490 54882\n23565 45554\n23835 53022\n490 25910\n25780 65303\n92278 94315\n22220 51179\n30371 33887\n40587 94184\n78789 83381\n9506 86338\n62126 62183\n43020 82546\n14494 62207\n1916 39712\n28773 85667\n6050 59443\n24466 80162\n28289 49668\n62438 95284\n25673 69355\n9310 77848\n43951 50472\n42772 72143\n60025 61380\n16386 29805\n41296 88520\n6948 97585\n11545 43615\n18846 40706\n71800 99949\n7617 12390\n18531 52957\n87526 93033\n11467 31850\n28704 53563\n34223 50983\n38252 82030\n43392 46967\n74195 97425\n10681 37230\n21908 31657\n55713 81647\n27170 47773\n38236 69087\n7652 61396\n21059 97752\n53386 56474\n24425 82509\n62117 93185\n18831 89058\n68863 86580\n8578 58174\n8256 73168\n14867 31869\n27933 83712\n37231 91266\n83773 84095\n80807 85117\n903 90319\n3140 16933\n12145 47547\n28975 78456\n10605 17440\n29319 76025\n76289 79187\n29947 50820\n21240 78876\n63336 92961\n59900 64029\n17770 48956\n58 20762\n69648 78809\n37870 92246\n13466 53319\n21922 62063\n3528 49036\n96283 97750\n13486 92335\n4627 25485\n35788 91945\n54512 92457\n46058 93392\n90932 98919\n36207 97577\n5415 87580\n58785 69754\n77669 99086\n15888 63984\n55786 87441\n57087 83481\n30738 92942\n44123 84302\n45100 94916\n46487 96217\n40236 54124\n37241 84985\n9114 54367\n62069 99804\n10691 57548\n60204 69749\n67024 87206\n28397 39521\n31170 52607\n89405 93283\n15018 76372\n62009 63358\n67780 70042\n70242 86170\n32549 76367\n3003 56577\n36817 89191\n21381 62159\n39767 58177\n50125 69706\n46943 64844\n11636 85442\n18881 71714\n8699 87614\n27739 62928\n28331 64587\n34143 66422\n24403 76714\n49857 97767\n43157 99806\n49783 66415\n46996 63543\n71530 96993\n64667 89751\n34441 93679\n54055 87766\n5322 71071\n41309 65944\n17893 71487\n19791 75964\n4980 57339\n68827 82321\n828 10162\n34554 40064\n26395 43108\n45056 45980\n65883 83651\n52784 99771\n5330 90349\n7633 46901\n35160 94383\n62157 77408\n6053 91800\n24091 41484\n42488 45468\n45775 92346\n8950 43027\n38693 49837\n22679 76874\n38358 60401\n20196 37931\n80594 94513\n48385 56969\n15667 40764\n93794 97910\n32123 96885\n19019 39558\n46722 86343\n21552 50124\n62668 89005\n58235 70695\n50938 97856\n19180 81353\n34028 71045\n3206 75334\n93486 93540\n16530 99397\n14288 67766\n46405 67692\n44711 68927\n58205 67100\n15202 37749\n2268 75356\n42498 63039\n25219 76313\n2014 50976\n11795 12449\n20344 41216\n15540 97641\n13132 63668\n2014 7617\n5009 17281\n20298 50560\n34517 81533\n57991 83404\n27079 49661\n15986 99087\n13454 62027\n72942 76413\n50461 95114\n52033 60818\n30556 39977\n57131 67711\n50156 88590\n63490 72070\n79240 93065\n20684 35117\n20210 68878\n4359 52074\n1025 75322\n64863 96384\n19608 97323\n47656 92328\n1115 18591\n29304 43580\n12506 83175\n40327 59820\n85251 98471\n53912 55674\n89786 94721\n53958 67918\n1485 83215\n53760 70551\n6571 28344\n40132 49483\n5551 17279\n17344 39902\n15936 88173\n21122 35231\n48678 50083\n37955 63008\n44294 92887\n26247 75483\n50655 98957\n20173 97153\n37232 76658\n17910 25227\n3588 27596\n4209 39888\n52019 95069\n73519 91133\n10235 84767\n27154 79751\n62872 68223\n42029 66683\n540 15740\n28752 67780\n28969 54184\n46052 56217\n15727 49528\n20885 28233\n85705 87860\n11448 40679\n8996 17176\n22210 23821\n50873 95153\n1916 6139\n41511 60399\n14289 62330\n5065 7128\n21462 92983\n53561 98972\n20130 37254\n23912 84719\n15694 89320\n46928 95643\n85634 88532\n4656 55860\n50474 70493\n23966 51634\n77843 80336\n20431 85768\n71236 85261\n30457 55954\n73571 76651\n3041 77608\n16908 72603\n37074 88215\n70200 79212\n59217 65141\n1846 85472\n50274 71111\n8027 27735\n13679 53129\n41981 46118\n55531 88947\n37448 71405\n55075 93060\n10251 12322\n70538 73358\n42529 85157\n20402 37035\n71302 78337\n3313 3899\n34688 35889\n8944 70374\n26707 30156\n84097 96143\n68069 94628\n13359 83674\n86736 96032\n1719 86078\n79525 83251\n31980 99104\n1595 86856\n91709 95805\n20853 56728\n7988 53926\n24528 90020\n47687 80810\n9288 52451\n66856 87314\n32399 73571\n41932 87769\n17188 82255\n31817 31868\n44528 98095\n68847 73948\n67009 91526\n83703 88086\n20772 63325\n3432 54132\n47812 50982\n36180 62474\n37551 85787\n44396 86147\n12234 87492\n11229 63369\n92720 96759\n63436 65245\n16485 98590\n41346 94729\n13022 89156\n81958 91461\n67688 82471\n2432 38550\n36947 97171\n27678 32708\n27437 60218\n22823 73672\n55378 64566\n14638 37375\n53738 69587\n36902 68461\n58822 89291\n21050 97120\n43321 69962\n21905 67288\n90754 97932\n12062 14697\n37292 88664\n36390 38839\n43091 75955\n10763 12691\n23709 47368\n24441 86989\n2149 97625\n47926 90124\n35999 68756\n25047 28507\n43668 60926\n49936 93837\n40582 59093\n19016 69511\n84557 94266\n42773 50331\n64666 85490\n68373 75701\n68832 84691\n34679 89368\n81478 89634\n4828 26337\n16411 73431\n58640 83778\n13111 25396\n42791 88385\n14879 58261\n59133 79707\n44926 68248\n29629 32335\n27309 33367\n41856 80417\n4733 23980\n43049 93534\n70842 97264\n61649 68455\n32059 92831\n25020 30649\n6584 80228\n1638 32492\n2366 64034\n11271 33954\n31156 32574\n18353 69071\n32103 53202\n31916 72306\n12167 89497\n47427 78163\n55911 58284\n32847 72431\n4898 60946\n47268 72729\n10652 67672\n24743 83375\n36772 80868\n73236 84316\n17095 23004\n48884 66032\n3409 95520\n14520 96106\n34837 49389\n30055 97002\n502 81897\n52888 55301\n19848 79673\n52753 85347\n10076 67680\n22113 25496\n35388 98142\n52214 64925\n10714 25924\n7652 22660\n17196 34164\n39617 65891\n40272 54089\n2004 12369\n43393 45939\n13969 21123\n30043 62128\n34652 36584\n50970 93215\n7244 24088\n10431 45334\n24055 76216\n27752 32538\n40946 49912\n33465 73505\n19248 73373\n12463 57287\n17739 72696\n27179 63688\n25253 78873\n2513 12743\n22334 87644\n82486 85121\n47166 66802\n36683 43899\n76339 94220\n78283 89742\n28151 89493\n65478 76913\n14910 66253\n41603 58355\n5488 42245\n25149 42386\n6623 59016\n7973 23790\n18055 46433\n12351 39863\n68980 89691\n3465 26685\n42797 86414\n17879 25437\n51837 73006\n20831 29051\n20299 47856\n622 87546\n5607 45714\n51781 88188\n27697 83810\n20413 92739\n49953 81037\n63933 85636\n3902 22063\n2015 35323\n18279 96226\n38067 45982\n26873 87811\n50858 56968\n22347 90906\n20324 55054\n61925 81519\n11681 11747\n59448 59878\n18781 62824\n15623 77768\n63899 66112\n13843 64927\n1182 26494\n20694 53058\n44148 56005\n59306 96842\n38020 39206\n14257 59731\n45305 95618\n79241 94212\n40574 54148\n51517 58860\n2290 76504\n87395 90249\n20611 38055\n28253 76075\n58468 76170\n81759 83960\n24847 64472\n66809 84054\n73851 87159\n40042 54587\n50996 91515\n60292 68819\n14421 32541\n48657 51370\n12637 48885\n41134 47084\n6510 89846\n20013 77574\n19160 87251\n6493 28943\n20151 79380\n7570 60314\n10538 45893\n324 45580\n73301 80347\n22839 53109\n61430 97606\n67023 78967\n4929 98666\n51906 69041\n2045 10139\n82588 98489\n36172 54909\n76375 84985\n11566 57315\n39109 77416\n47422 49792\n34775 66749\n5562 70665\n72176 77080\n27782 55312\n80397 96313\n935 57249\n59991 69721\n25673 40738\n6048 83294\n39331 96845\n21079 64127\n32615 78707\n23594 79681\n8539 24969\n2835 50846\n1728 39658\n40199 52356\n12044 88293\n68167 79582\n15410 48550\n57525 79877\n74803 84079\n9394 18535\n46463 59861\n23914 31842\n31512 42215\n69494 89511\n32796 65897\n88988 94283\n47756 62781\n19098 47254\n3332 25688\n57939 58130\n89050 96365\n40048 80288\n24098 51379\n11453 41011\n65756 90378\n38321 70598\n48541 55650\n13481 77545\n28924 32054\n9285 35181\n16522 42574\n19366 54284\n28718 41286\n9943 65585\n27883 44111\n13333 22791\n55271 95345\n19576 74142\n19063 94909\n16924 72171\n25311 81560\n31532 85395\n15678 76279\n26339 55594\n47558 57399\n63092 70143\n33315 68175\n9952 83607\n31477 86311\n62853 65166\n44470 92202\n72537 90090\n165 31174\n3707 89783\n131 85060\n35139 35671\n19345 79631\n12850 80080\n86112 92922\n51170 84349\n92220 96514\n16851 43391\n10741 71024\n48007 80260\n8519 39022\n26628 28838\n25525 94771\n10525 48788\n83973 87716\n12770 46936\n9108 75459\n20173 79794\n16396 29070\n19885 70673\n33212 52579\n25363 69633\n40942 50243\n42270 86127\n29667 57649\n27587 63601\n66035 74080\n33765 66923\n16328 95330\n43082 73901\n9707 50450\n55023 78441\n13894 29201\n18823 90904\n8449 9982\n17644 49937\n31364 34830\n11746 67122\n54885 78704\n69033 76081\n28434 35107\n27108 71607\n42547 55421\n52197 58176\n20385 65582\n22695 90995\n34654 97160\n10096 26170\n51120 91970\n22140 49819\n24660 54053\n28916 53595\n30926 73399\n18633 34863\n65200 91117\n36840 47528\n16157 97989\n21834 91500\n69441 75052\n5115 53750\n10187 73860\n13469 58367\n13860 40090\n46275 78568\n35995 67805\n41679 79637\n67434 79488\n81581 88748\n34836 64938\n49745 96452\n8660 79086\n5984 37601\n19423 63593\n12046 42831\n11695 43378\n15673 35940\n26542 40861\n5579 64451\n20860 38574\n19828 73034\n27585 64918\n61929 84583\n15339 92463\n64281 67989\n3540 33475\n9467 37121\n31222 33208\n24031 88642\n26504 99540\n9588 33722\n61582 88051\n26242 58976\n62644 81229\n92007 96716\n1129 48176\n49757 94510\n10366 41833\n2450 61063\n15230 28018\n2332 50104\n41174 77743\n40084 54800\n3346 41647\n44559 82251\n31027 90437\n5925 43425\n5349 85769\n12582 79889\n3453 48950\n78620 96571\n28247 42089\n9953 69943\n28001 56752\n16307 68230\n5303 64683\n13807 68704\n6913 29303\n77732 94007\n53503 86425\n26349 53560\n49047 69352\n21375 88512\n13596 87730\n35221 64297\n92569 95174\n41844 83816\n16934 46721\n57664 95516\n14660 15290\n36644 91695\n35342 93163\n33331 87806\n34230 80490\n50865 68813\n1971 56526\n19254 45820\n79782 89516\n28189 31960\n24603 39358\n42009 76035\n20905 23770\n29293 65404\n49081 91271\n18872 76120\n71261 77045\n5626 32008\n10695 28583\n16707 46348\n7852 28865\n31843 77248\n14611 46350\n41991 52064\n61810 71963\n26745 82939\n10759 61379\n45484 61217\n7427 39903\n76145 98090\n22855 56153\n7248 63822\n14978 95292\n52232 96461\n2345 23504\n14404 30403\n1490 27620\n1372 26410\n10396 53317\n9329 81546\n43449 50358\n4685 84991\n33447 48432\n24358 88640\n3988 54476\n20211 64132\n22187 86306\n22319 29106\n35627 94427\n48051 87214\n94923 97870\n47086 67679\n11388 16980\n25441 32418\n6367 8246\n43939 54072\n23206 94819\n4340 76913\n53236 67609\n1145 19292\n28873 79765\n19416 50011\n10552 15789\n2507 57918\n16726 52754\n73743 87200\n37870 77553\n73346 76858\n8861 90962\n16041 86314\n14832 39610\n35378 90402\n16962 98202\n46874 92502\n11959 47770\n19766 45830\n22303 40316\n30593 52559\n11720 36249\n15358 68491\n81381 88073\n75914 95175\n7842 99231\n26946 84364\n26 62642\n22285 79401\n23185 88510\n47182 84654\n45490 71684\n3366 52538\n53261 72072\n9487 33280\n8572 85068\n58380 62897\n31038 67079\n1096 18007\n70679 97099\n74391 80606\n19966 40159\n81553 86891\n33324 67018\n7033 11675\n67315 99476\n49528 49944\n71784 90249\n50322 90068\n25597 66841\n56128 83342\n6270 55809\n62519 66626\n53081 73442\n20585 35053\n30887 71336\n8838 17380\n60870 76094\n66521 72501\n12743 22817\n51005 78582\n1312 57227\n28628 91091\n56591 75007\n8844 79026\n28548 46287\n5164 11057\n72016 81217\n31578 70833\n7403 75576\n13194 19778\n39522 51192\n25309 38050\n27635 85319\n19860 50718\n51303 68497\n37652 44763\n39668 78142\n18772 39179\n74106 85683\n12534 91382\n23579 55546\n57325 83242\n27965 44168\n10424 93542\n11131 68633\n23608 39643\n8168 56297\n34780 65249\n17898 33493\n13890 59991\n59354 88159\n6481 16479\n25331 56655\n16370 64671\n16775 26461\n14082 95271\n8118 49925\n16628 86384\n72981 87884\n71239 87012\n74806 74878\n46696 81302\n63094 96684\n71913 74985\n64125 88687\n75375 92853\n40063 45236\n21157 28855\n26956 39976\n8825 53144\n85806 98110\n41048 73940\n40642 53365\n58684 87399\n59180 63890\n42216 65922\n33910 52103\n35520 37875\n27442 77071\n42562 92279\n69564 73424\n23766 66739\n94805 99428\n71135 73005\n49248 61600\n22086 33011\n31882 84079\n32512 69741\n49807 52568\n7792 19176\n77014 87540\n8935 50836\n18323 71707\n25454 28294\n48393 94287\n79307 95852\n43005 66484\n53996 61155\n56735 95185\n58233 67753\n5227 6142\n64092 86043\n75331 94469\n79459 95553\n21662 65387\n10189 60366\n2064 76310\n37823 52413\n32903 44612\n2128 39256\n46020 67270\n24615 41815\n12353 14575\n68226 97460\n35700 87448\n61203 73233\n51359 65205\n42080 49398\n64302 81474\n20095 91421\n16474 53583\n8954 40629\n29009 69014\n3784 59592\n37892 44492\n9844 83687\n40581 74658\n49888 57446\n69298 76314\n950 98379\n28388 51000\n8492 40831\n12723 37271\n20081 32151\n2492 7909\n44916 87497\n36035 49994\n45243 72461\n24450 55220\n81732 83223\n15467 57107\n36795 48127\n29684 75419\n88683 99752\n53654 79459\n16229 29414\n14806 95478\n46332 61360\n35854 57226\n54421 60372\n51403 62950\n69622 74410\n10650 51166\n23884 75697\n9317 32039\n42593 63538\n17569 40186\n5290 60483\n40783 70308\n74043 96359\n26559 81702\n28708 62116\n51556 78250\n19901 73640\n46487 47073\n35615 99739\n5559 89191\n42474 88296\n33610 85327\n13043 86199\n37586 41522\n52208 65991\n75901 76433\n98869 99664\n424 54204\n69904 98618\n3360 34954\n4642 66132\n26242 84389\n7172 18773\n32135 73032\n52978 97997\n27042 98649\n9792 91395\n42740 76465\n54480 55071\n7395 25283\n82748 90062\n62182 99421\n59393 75908\n51308 90236\n27417 70623\n24948 58915\n13571 55936\n45002 98928\n71238 72534\n20039 52723\n16257 34120\n84224 99163\n27489 35989\n45473 54523\n6404 10760\n89362 98172\n26120 82000\n35806 93027\n8125 26879\n9848 53955\n1626 22871\n17632 85130\n11719 91825\n7608 84671\n58273 89163\n63220 92782\n38554 79047\n17575 20741\n15030 51416\n18719 45528\n2119 21266\n72175 96126\n8709 83816\n30262 34510\n19324 62090\n30102 69669\n4573 26941\n22857 93633\n12288 32715\n24856 49212\n14792 31050\n51297 72478\n1879 41346\n85759 86472\n70166 97508\n22871 98209\n5013 23499\n57141 75656\n46058 64564\n16768 57872\n32292 68214\n6179 98132\n40105 41010\n5141 59783\n15783 32929\n53377 95199\n15151 93812\n24700 44266\n67283 79084\n40963 69485\n48249 91469\n22942 40067\n43396 67957\n2152 38227\n5631 75200\n15186 94682\n35164 74660\n8448 51872\n37543 88599\n37027 43136\n29191 85188\n4455 17857\n60723 76165\n61098 70463\n94301 99240\n11641 92035\n68633 94551\n18917 44521\n14196 42934\n51098 89358\n2931 43460\n69673 72250\n556 86958\n26850 85908\n24416 94808\n2190 33082\n22742 62054\n68628 73794\n47567 84313\n85441 85918\n19606 86219\n51255 87655\n18156 54435\n41971 77531\n79514 98395\n21759 67084\n21654 35750\n37915 63298\n9053 90788\n14575 44052\n33490 85955\n79237 80924\n16563 89999\n62710 88519\n288 56034\n27490 44944\n23206 58847\n6180 26466\n2685 44594\n48637 62761\n53661 54707\n59227 81171\n5786 39900\n8654 18865\n36763 51356\n182 25372\n8947 13433\n24301 96109\n23822 63988\n15863 54518\n59573 97964\n48577 66103\n44563 63607\n33716 54845\n21178 36771\n6304 7443\n41933 98094\n29087 71040\n24157 63405\n74545 81497\n62514 71353\n34704 43545\n17770 42267\n29311 30066\n44935 85774\n15009 48439\n4794 89864\n49519 88825\n48536 65952\n40247 86205\n43254 47373\n55929 83642\n93061 97548\n45468 53381\n7907 59063\n35022 63831\n59220 78197\n47583 75094\n17337 90944\n22927 50791\n18762 60793\n49034 73057\n1854 38044\n26770 58487\n46491 91853\n74159 89787\n11228 38403\n16002 26717\n20621 83520\n12283 16802\n9664 28036\n30567 31868\n26179 78682\n11997 78159\n12955 99332\n12084 68272\n26768 88626\n39465 42631\n34380 36656\n55247 84786\n19503 22275\n24881 95027\n54145 70371\n32618 80597\n33780 95573\n85651 96114\n50589 56110\n75707 90936\n5428 43430\n52286 65971\n32361 40521\n2773 49065\n356 12856\n19779 55447\n39599 82599\n24946 64217\n57293 81502\n29081 34048\n4514 88496\n67167 82868\n62381 88267\n45317 94462\n12094 99146\n25233 96017\n8023 92472\n8947 77275\n73790 73907\n60049 76032\n5476 98897\n7581 50642\n66284 97077\n79023 90282\n36362 91229\n33641 80835\n73440 99269\n38359 61072\n22970 37242\n964 91341\n32719 92900\n13078 73428\n18185 86968\n90837 96955\n18327 41082\n1551 72859\n27947 89099\n16598 18037\n29755 53135\n13409 31900\n35592 56539\n93191 99234\n44929 56714\n35259 80471\n7244 17289\n9820 18187\n66975 69829\n16487 34309\n9769 77940\n4884 97296\n14734 85377\n74909 94614\n45342 99459\n13674 46966\n17791 73819\n45949 54279\n808 80027\n53609 99660\n85461 97230\n30419 34468\n34051 79408\n1992 38248\n6874 29275\n51894 67723\n11153 80172\n1079 43895\n4430 88066\n47157 87219\n91192 99262\n4497 63091\n48670 90193\n58779 71140\n57620 84426\n7453 88640\n56721 77809\n19048 37622\n11815 83270\n68380 92733\n20567 87433\n41185 47884\n51760 88060\n61927 90488\n23090 28055\n36999 49525\n31837 45897\n2625 31440\n33430 55434\n39589 96917\n28175 66550\n8322 57925\n78299 94212\n21456 41843\n74242 79135\n36304 85051\n6939 84555\n19621 65459\n8573 50614\n53024 88856\n66745 99747\n41663 71307\n29506 57668\n9491 91326\n9538 27494\n80312 93192\n40342 87457\n42720 96304\n66825 89170\n39458 53388\n69098 92125\n45176 62358\n47199 92189\n4987 15801\n21974 37686\n9716 19305\n45305 71908\n20505 49231\n34322 63951\n78695 96889\n59297 83259\n63084 99184\n52221 64927\n35742 69791\n64090 87008\n37664 82570\n56244 99975\n36279 84735\n82430 89462\n48001 66829\n48113 58604\n16131 91744\n66344 68091\n5215 16417\n19865 73855\n39538 78939\n60326 69860\n28118 64582\n53491 60271\n66191 95964\n79594 83181\n13192 21783\n10996 45249\n24169 55559\n94904 96020\n36543 42309\n47976 99694\n50259 64444\n81208 86441\n15316 31538\n12585 74699\n281 90277\n14246 52904\n14135 68209\n60109 64696\n64925 88236\n26585 45118\n53195 83126\n52838 63354\n14591 62886\n46323 93375\n1780 72443\n6277 99235\n68076 74684\n6577 45692\n63001 70071\n32044 37205\n14756 30895\n24759 97385\n27335 40098\n92349 96130\n7039 21518\n3100 62105\n6186 26560\n73013 84340\n6578 61373\n69185 75418\n35547 51114\n11917 30142\n10474 36848\n41625 42911\n47658 54714\n17342 60103\n22148 64720\n20308 84782\n85340 86800\n32665 56020\n19118 26442\n9340 88064\n77911 85212\n21138 82114\n23579 90661\n4052 68962\n23884 39708\n50202 82191\n6180 99398\n27937 31533\n5730 62000\n4055 44744\n26322 89851\n14711 71584\n37607 46509\n9699 76686\n17773 28730\n43058 74246\n40171 79764\n35117 52088\n21577 69572\n16707 33223\n55161 72998\n503 55966\n17221 39380\n77044 85802\n41798 95210\n25088 79197\n48553 62870\n4797 30827\n24236 75307\n21805 66383\n65197 92322\n36302 85349\n16059 45690\n70282 83409\n39991 74928\n50815 91379\n37320 57000\n34932 61669\n39628 48222\n5139 45015\n37282 51959\n97932 99791\n16421 85762\n50329 53388\n54323 96627\n69795 89420\n67924 71635\n31559 54684\n12616 85456\n3476 60167\n5125 60064\n12533 73793\n79606 96104\n49752 56618\n14093 26168\n60462 94073\n4055 35102\n30898 35650\n21897 99905\n2922 44078\n69212 69299\n12055 44745\n24439 44760\n41734 67472\n90206 92032\n6606 93150\n13557 64961\n47381 58309\n84762 87692\n10791 83317\n12173 28107\n43048 46490\n49327 74492\n20563 78990\n86588 91504\n8317 82011\n22128 25010\n14773 30516\n78234 90438\n14942 65660\n4976 86456\n52920 96640\n36946 52782\n1009 80811\n25225 62532\n15736 30611\n56834 57051\n24717 68963\n32804 49194\n48485 74305\n29855 94701\n78543 98235\n65621 78526\n1992 66741\n19466 34422\n35234 87136\n30842 53003\n28263 84558\n10810 90912\n11683 90845\n12344 24754\n87517 95688\n46709 66265\n63133 97114\n15323 90477\n60900 74321\n31377 67833\n40171 58830\n43464 77244\n2453 70131\n72000 80173\n53663 73966\n61842 70896\n28449 67230\n50641 72394\n73748 76183\n38956 60990\n8112 13708\n35124 67626\n20949 91308\n22959 90432\n37888 69706\n24783 76471\n24540 26990\n4721 73143\n28208 74058\n37269 49663\n18317 89602\n22070 34457\n2096 63648\n25285 34962\n81300 98934\n82936 95662\n51007 67914\n18988 33099\n22923 44205\n39060 79752\n43414 68687\n19026 46619\n50265 68102\n11133 36524\n6614 8402\n2542 97564\n48048 60257\n35951 90794\n14716 36082\n31948 97939\n67756 95988\n4137 7373\n18679 82120\n2234 67497\n2815 57258\n81412 88446\n3767 19371\n73146 76651\n62214 69602\n46821 78067\n34924 58068\n64027 67414\n25767 70179\n32123 74870\n47507 95460\n58217 98788\n18389 31522\n3751 13002\n1904 40233\n66541 84110\n93876 97610\n50442 59708\n15429 71126\n8872 40169\n8352 40124\n53686 96422\n62302 79714\n72935 96475\n23815 48205\n38169 38214\n3151 80250\n58342 73789\n39616 93699\n34895 53668\n6104 71806\n22481 81506\n8507 17269\n2654 42659\n26361 67260\n6910 16379\n1263 71315\n34779 39506\n46356 80765\n21021 97652\n78128 89930\n13422 54040\n89000 96393\n12440 58967\n22277 63760\n2657 93687\n2841 51711\n79174 80259\n23344 70768\n7576 90772\n11587 14101\n1324 66929\n58147 65521\n34235 37166\n20540 29982\n3886 26672\n67108 67612\n26676 90009\n46173 98688\n32038 40511\n2678 64454\n20743 47656\n12562 74240\n31302 97042\n88106 91475\n50232 87107\n29118 48947\n28420 60395\n21609 65931\n30730 55585\n5758 62316\n51913 85019\n30805 55406\n58025 78735\n5426 10937\n4366 41066\n56004 72944\n35869 89999\n22032 65678\n822 3254\n27315 91662\n27254 49116\n24452 24630\n34865 78384\n81165 81401\n22314 60724\n29896 97668\n49451 78342\n22385 35158\n7238 85108\n11995 20084\n28284 52595\n19087 58905\n3605 22958\n25795 81269\n38808 64644\n65181 88918\n59915 74231\n24053 26100\n47308 53937\n13256 22590\n24954 32914\n34293 81112\n5878 74428\n31178 79350\n13108 42644\n46331 99410\n38817 92126\n59831 79098\n87130 88871\n840 53011\n62534 75107\n25081 76520\n31761 37586\n53523 71065\n65715 83968\n6981 34577\n38149 85080\n88565 94208\n27242 95501\n37522 92026\n18297 73232\n14673 85945\n70187 99625\n59406 97408\n75523 93043\n23748 35553\n85884 95565\n23748 40231\n44007 75446\n55496 89674\n39973 70233\n4255 75724\n42577 71435\n81094 83917\n32999 42226\n31643 71017\n8805 67166\n19247 88561\n31477 65403\n45433 47245\n3065 36561\n51148 84565\n34136 40421\n32604 83956\n71102 76093\n12666 38906\n43270 53995\n32184 34320\n7206 64427\n22472 82360\n41359 59116\n32491 91207\n47854 49992\n55874 65667\n8386 25805\n75124 92237\n34488 36474\n27981 55279\n4018 93554\n11549 45817\n36208 40881\n50745 73393\n59006 96114\n25883 57327\n57403 63842\n54419 69762\n16389 93670\n76794 76906\n18575 74647\n2360 67844\n20649 65614\n4386 99431\n47389 49071\n65520 68890\n211 3919\n46236 83401\n14419 36658\n33203 41024\n63363 88066\n7324 52511\n50971 94310\n21285 44572\n50532 78677\n6239 66708\n35323 66986\n50980 77560\n11012 83725\n68667 86446\n58496 88998\n15888 90866\n31761 53206\n76069 92678\n79915 95663\n14642 65964\n32192 77041\n75596 85694\n16624 79051\n46044 68930\n51254 90277\n28702 74855\n68140 98973\n31770 73117\n26102 89789\n283 46438\n42924 60379\n33503 49834\n65891 97466\n51032 80132\n4619 33224\n25835 26240\n31260 97926\n9828 48159\n45435 65575\n54518 72489\n52693 85915\n37027 42949\n31987 77024\n15413 50125\n12495 79410\n7518 69793\n19157 82385\n41612 58550\n17158 55741\n61972 80473\n42820 85780\n58127 67197\n30931 58563\n5254 43620\n29663 48245\n442 52679\n50864 62364\n8264 29607\n437 32990\n5524 97246\n17757 73066\n26555 65944\n79869 99380\n43367 98966\n72705 87781\n21468 68130\n39268 71366\n27739 94525\n703 94083\n15662 82347\n65040 78824\n54780 89894\n34332 69549\n10881 42273\n6704 47520\n5187 66849\n47548 96710\n37026 74389\n17033 61982\n30576 39362\n42903 92067\n51301 82347\n7468 46836\n8231 19617\n23303 69845\n46560 56044\n89926 91269\n77033 87105\n68229 95947\n97166 99297\n47156 72517\n23802 42926\n86125 87299\n3910 22255\n58829 82750\n42273 66776\n65226 81046\n82844 87112\n75075 91884\n48238 73331\n84559 96807\n51894 60604\n30860 95637\n12943 45997\n40628 96096\n35833 79784\n43458 61149\n10732 88350\n1372 44427\n52952 81108\n21520 84210\n23403 37080\n76189 98785\n18267 72940\n18208 27747\n72271 82249\n87321 96305\n23188 63302\n10136 40268\n34508 37288\n75892 95216\n25986 53492\n14536 95951\n52983 84634\n8885 50246\n23165 80600\n32054 97943\n15305 25107\n72315 97102\n28116 37012\n25278 87028\n3409 58618\n73016 78263\n2406 96382\n28284 58301\n38692 68435\n6690 8365\n54580 75422\n19661 20310\n7068 61362\n74031 84671\n44508 55934\n13203 98232\n51640 99969\n28173 57089\n40423 80813\n13223 54395\n50717 52373\n31716 34096\n19586 92665\n11895 71342\n2717 74521\n1538 85432\n481 29582\n80109 96139\n42135 44428\n50853 57316\n13362 15294\n52165 96852\n15124 49071\n90578 93659\n4873 20559\n14265 26657\n1565 36356\n2295 11178\n38677 65389\n20448 94658\n8123 51890\n33211 42226\n62588 81766\n9444 96212\n36091 85866\n3782 84691\n8887 77374\n23710 51141\n57066 83715\n3794 38312\n32863 43833\n8231 61674\n64033 92558\n5513 65866\n61596 68224\n73867 82447\n7446 68341\n70719 78231\n18650 57416\n58198 87655\n9705 10829\n52447 69414\n17955 27716\n6949 70864\n44500 83645\n18997 71656\n37978 40596\n43439 99948\n13581 48157\n28620 79373\n25092 30736\n8063 20803\n27376 88723\n33748 68673\n63256 99370\n62901 68952\n72896 92887\n16947 22782\n18342 54997\n83863 90843\n59313 73952\n43813 86447\n10336 61556\n46437 49982\n58938 96854\n22915 65880\n56041 71242\n38923 62272\n9590 22389\n11374 79107\n40103 70230\n1503 73216\n59529 91936\n34632 55678\n31999 98434\n15124 79314\n75786 92505\n649 91854\n28944 37042\n22439 74921\n46820 89355\n32557 50982\n8180 24082\n31768 36352\n22096 69517\n11297 34825\n1452 66946\n44549 45343\n63667 77351\n10384 12928\n22305 29170\n76567 93213\n49746 77539\n20366 26436\n26673 76729\n35057 68341\n90202 91882\n42436 88574\n12219 75458\n12340 60735\n67495 99249\n43531 85847\n6414 88584\n7109 76945\n9793 29315\n2302 49889\n44234 96298\n742 28297\n40830 81866\n48270 56324\n23475 93006\n10028 16998\n53211 62038\n23942 35314\n47874 73581\n11489 32519\n4881 22203\n63322 75927\n13647 70921\n49979 75683\n28775 31890\n324 81636\n38423 78574\n5224 25900\n24409 81697\n12031 36778\n8434 29287\n362 17362\n79585 98205\n77196 80854\n13766 74836\n2604 17462\n61289 84826\n7961 78285\n2478 55455\n40395 87051\n9970 38667\n6874 40480\n8157 10939\n2001 6402\n3814 16256\n47928 94408\n67301 74129\n29472 99381\n54367 74594\n31168 85815\n3963 78961\n13780 43072\n41813 64612\n27213 42226\n14575 96314\n61605 77113\n54643 91152\n16957 49036\n65068 67717\n49438 73687\n83045 83252\n82933 84668\n12506 33655\n44696 49438\n36214 88725\n22922 38473\n3528 22153\n4205 83858\n54399 62800\n48291 71287\n44723 78433\n38588 94030\n13892 42152\n52865 91849\n26218 62915\n89794 96787\n51788 95995\n32230 93069\n72323 78215\n7077 64110\n12281 75210\n21284 89040\n25572 87827\n40093 52612\n20844 73135\n15280 46078\n7953 63785\n70765 85889\n13151 60919\n11358 34636\n70085 74921\n3385 10858\n41263 71772\n12909 92788\n15895 39492\n16883 19394\n71280 79841\n9685 86865\n8809 16209\n12593 30393\n37601 89820\n64694 76907\n54249 77749\n17194 43340\n46370 70125\n19339 50695\n26887 66051\n706 9575\n48391 69806\n27021 84567\n39875 74174\n69222 70235\n56380 84236\n34155 87298\n10388 12266\n30516 48291\n21323 92606\n37996 64073\n38554 98416\n73604 96554\n35828 96161\n19671 78887\n25407 87690\n64576 90125\n91847 92661\n22604 52067\n1405 90596\n15586 65101\n41342 91707\n17066 82657\n61245 71979\n24087 89103\n7054 58876\n56216 57411\n72166 73337\n54647 61146\n61481 84349\n66985 89396\n22168 54697\n49204 77382\n24993 98796\n28478 84800\n17150 21981\n52391 59156\n28948 58262\n37609 56851\n74134 87507\n13073 44792\n45382 93635\n15961 72849\n34826 41996\n5007 16970\n9933 45158\n20294 45481\n23849 24412\n8365 67895\n41159 62533\n11281 28344\n28811 76087\n28855 99578\n31054 36767\n51296 81919\n85923 93333\n8284 66679\n54921 92254\n22712 82961\n50 71356\n23251 24603\n43372 43610\n17442 85579\n13937 95894\n1461 63008\n70788 81989\n19253 68172\n33690 43502\n53987 64241\n31630 32780\n14173 24350\n38114 88018\n11937 88137\n15608 36518\n23250 62762\n6740 57264\n46639 92488\n13840 27460\n1975 34775\n60624 65443\n32411 33726\n33951 88058\n53124 96899\n21024 65976\n27351 54304\n33589 57726\n15807 73823\n52285 88740\n70385 97907\n68302 99449\n4777 87340\n13743 23693\n57130 71263\n11956 85569\n33622 52514\n7752 51451\n29871 44916\n56245 85922\n19203 97844\n26372 81092\n27546 39811\n15863 57026\n23747 42524\n1176 89336\n5699 45069\n49190 59272\n28604 37986\n88318 99869\n56242 64398\n69744 91552\n20807 83960\n56410 96447\n17917 63801\n79460 84893\n16592 61968\n1267 36811\n5723 77436\n28421 87402\n86977 99397\n24492 99253\n12295 55108\n25328 38586\n13777 20827\n23682 78920\n57247 80844\n32228 69077\n31533 51897\n23998 50581\n58882 74683\n43966 89805\n32863 83976\n25111 54363\n37882 38801\n32961 81651\n10113 71764\n1389 9528\n49234 98027\n42049 73317\n16145 92945\n82625 89422\n13745 83208\n21849 43722\n71507 71801\n29777 98462\n18344 77888\n32274 96460\n8569 59568\n9896 70691\n51760 77085\n29521 98506\n12547 94357\n22277 40047\n9907 56511\n7822 63756\n6014 28833\n21542 95828\n75367 76493\n57290 85280\n33716 55277\n8737 14205\n45542 85039\n11833 51957\n24097 67388\n45897 98385\n47924 67057\n37637 71647\n15476 84999\n52438 81554\n76008 95647\n33740 50902\n38417 64614\n47876 70607\n9385 38409\n39478 47600\n8978 85815\n46555 78255\n6920 75574\n61509 86900\n2057 78723\n33140 46143\n37467 48135\n90937 95511\n9743 53364\n86254 90745\n31393 70249\n16057 21844\n95174 96279\n11380 30546\n25000 42295\n19093 39549\n6002 12113\n5511 61889\n43619 70655\n1127 11351\n11101 15090\n16861 24926\n85279 94217\n5095 70096\n9234 87175\n15374 97933\n161 91660\n50698 92628\n56208 90530\n33544 82001\n8747 98260\n51249 71974\n43710 73548\n34426 39138\n68207 93105\n19193 31597\n27541 83708\n965 39730\n10860 74219\n41804 45595\n22523 94558\n63764 75353\n23746 69516\n81676 99976\n22641 60618\n88610 90425\n68773 90787\n22484 52350\n76947 97076\n58889 98101\n11211 38662\n13793 65408\n3547 77456\n67176 69053\n43823 77465\n7601 39020\n28979 65443\n66720 70792\n27549 62550\n21548 65007\n29415 55784\n12439 83081\n50814 83875\n32360 58828\n74010 99424\n31454 74678\n40559 73447\n18425 20391\n30652 70095\n19352 78816\n5603 91724\n20630 74239\n47241 74945\n68330 89722\n18983 75680\n8982 48528\n12533 58642\n11315 74010\n57403 98266\n70576 72918\n3260 99464\n28933 87308\n67969 72339\n25708 62415\n57481 75016\n79503 95686\n27337 49023\n4667 81955\n34267 34523\n54016 67986\n33401 68125\n74074 99285\n60553 81135\n18519 35673\n1724 21705\n9904 63341\n36036 38244\n17267 79032\n49228 93339\n10753 68885\n32014 35724\n20043 96566\n4552 63001\n5947 83529\n23714 40378\n47266 70724\n3663 86185\n29602 72540\n13833 26278\n22529 73226\n36570 69844\n57439 90618\n31771 59004\n56513 90675\n22575 33874\n52565 79557\n6593 37060\n2566 77303\n35127 99047\n6532 78402\n45866 96340\n48814 96959\n39202 78162\n28215 59164\n4560 87635\n61125 86311\n43167 60558\n3792 84878\n26863 40788\n32325 99657\n23794 65847\n65195 96860\n34587 47140\n53197 78304\n39487 66388\n73579 76826\n2276 66853\n212 60141\n14304 65962\n64288 72087\n29983 36273\n23924 92586\n44740 77311\n13907 83716\n20867 62475\n9711 77213\n24078 60989\n20461 26635\n68152 97709\n4081 38181\n12797 47400\n1721 62795\n23793 75350\n24257 49927\n27212 38640\n65189 71377\n6267 50292\n23170 92030\n28689 38089\n16155 50408\n77039 81076\n35648 92479\n52954 67555\n4196 93363\n21400 54212\n53141 79898\n18356 91009\n6410 18269\n10885 98390\n64056 69703\n3280 58846\n14756 20678\n23809 65430\n5577 51085\n86807 98768\n41594 50492\n68265 97902\n29450 58340\n22434 47911\n29224 72945\n5972 42164\n63963 74419\n11273 84021\n6327 81021\n58353 85839\n4558 53674\n59285 95721\n38457 62279\n25185 75375\n63015 90739\n1409 23540\n31279 69777\n9089 86299\n28343 84826\n16746 94453\n14314 35400\n11251 72392\n41262 47497\n37021 93043\n71515 96218\n8595 18275\n32224 62011\n14196 23999\n1165 40235\n79686 94178\n65817 80525\n58415 90747\n33252 59947\n71396 89229\n48636 78522\n61259 73209\n51424 97690\n48482 71293\n6812 39470\n52050 54095\n5128 23165\n10158 42339\n72400 82748\n11188 12255\n36882 58766\n49940 81586\n36402 70299\n965 40436\n14902 24579\n16947 32248\n34634 53007\n63207 64551\n21023 68992\n16197 54419\n6303 40645\n51660 87503\n2218 49084\n81122 89489\n70994 90015\n32706 33164\n27028 60737\n60305 60441\n46721 94293\n40065 94809\n42232 78812\n1402 64927\n29956 83445\n57865 98128\n16206 68895\n12049 76367\n20616 47478\n9998 68020\n60791 68321\n10476 67539\n31377 60816\n2379 66307\n7899 76166\n6771 66267\n29688 94157\n12986 26384\n31742 51106\n74203 84384\n57956 69449\n30575 88380\n1576 5173\n75789 80573\n71673 96847\n21311 36134\n78261 79571\n13689 48122\n9305 11380\n27650 51171\n18392 36417\n58545 77706\n23713 74971\n28668 80663\n13229 89603\n57844 64625\n36519 40467\n64689 94440\n66462 98969\n13018 14525\n51698 92581\n23682 30594\n34292 47781\n13164 99850\n4826 81561\n13957 16450\n78946 90540\n14178 48978\n13740 17025\n20647 64313\n97505 99421\n32432 57133\n16153 21584\n9051 11657\n16755 86687\n622 49617\n76724 97515\n64119 91933\n34582 72747\n43281 61912\n56999 66866\n53255 72305\n15400 33147\n65412 69726\n65411 87740\n50012 87242\n28326 35272\n9372 21882\n13995 34897\n79846 89167\n56281 66599\n36776 79019\n25747 51685\n57230 93023\n4221 18438\n24711 62385\n19625 80909\n5491 73266\n2733 38821\n54124 65502\n29393 90235\n29406 38617\n9592 76535\n12123 94084\n56232 70542\n48605 58815\n6506 42622\n30484 43032\n16009 20246\n71700 89375\n39180 83044\n49589 68599\n7562 76553\n50126 95443\n7899 28781\n45491 85204\n53651 97047\n51734 81537\n80 15521\n59735 83456\n65644 85083\n45545 93781\n10513 40075\n6387 81498\n59465 79496\n30764 70546\n44188 52654\n17517 18719\n74816 80917\n77623 83975\n16947 50209\n14660 81977\n56849 69880\n56643 78240\n39941 48052\n20595 56003\n3117 66634\n67381 73677\n19221 66390\n4585 34426\n16098 77086\n71744 72178\n18358 40018\n17161 51476\n34690 97109\n80406 94848\n39163 47030\n67443 94315\n20704 92129\n16776 64355\n52274 98650\n56590 62369\n70193 93860\n15960 43720\n89173 89756\n6348 70656\n5930 15870\n13196 36790\n33460 86678\n51745 67428\n70961 74835\n1931 88535\n9913 56949\n6206 82906\n73241 99968\n1708 51901\n4681 16948\n26029 38623\n372 63394\n83663 91264\n18341 80906\n71022 97130\n24719 83174\n28505 96354\n55141 98252\n37177 91916\n67904 68430\n17325 89017\n3806 96768\n23633 93156\n9492 70942\n9612 20778\n29845 52064\n4218 17603\n15536 61272\n42631 59130\n73735 83270\n62375 79924\n8040 92219\n29182 50177\n4141 24878\n12520 92140\n37509 49073\n12465 43558\n50585 64494\n4148 98276\n26815 54073\n55034 87342\n51214 53952\n94216 95971\n83484 95348\n42357 45028\n21113 62296\n32907 89058\n34068 36684\n28824 87827\n14534 43502\n37219 40168\n20517 79712\n10184 13032\n80085 80784\n13808 96967\n24452 39312\n6269 40822\n31049 39959\n30665 76187\n7558 33671\n2486 85922\n48751 76776\n27694 84188\n7834 22228\n46340 88499\n8255 59050\n27026 65267\n31599 63316\n24629 27902\n76659 79946\n49044 92393\n29223 45084\n39301 60324\n23452 75825\n52862 97629\n45788 82276\n6824 11314\n30425 57450\n10473 50426\n22177 78072\n38158 93686\n6852 90200\n12866 13733\n1049 68284\n23966 76716\n88258 95358\n59841 84887\n26218 99654\n2717 92976\n67181 73967\n30636 97550\n10609 14241\n48323 88546\n51803 65534\n38836 45277\n5160 37247\n45539 45880\n4050 7089\n86486 92045\n19984 57916\n7700 94670\n27641 41839\n11965 39913\n25003 92256\n83005 85487\n20071 80504\n27354 46626\n10451 77881\n27419 37053\n13438 70378\n5967 92257\n36625 84130\n5442 78492\n32072 59693\n13489 28951\n29805 81934\n9247 27940\n31804 73135\n24008 74677\n27423 35608\n938 94520\n2660 30139\n6364 63162\n30750 39495\n36428 53694\n9387 24562\n37128 74355\n23272 99445\n49446 83859\n40773 41413\n37875 59194\n19 43725\n23933 92538\n27872 46131\n55773 66897\n11098 65191\n78225 96154\n51787 62027\n9018 88406\n34158 93085\n12095 20484\n23020 28266\n32389 92528\n73779 91289\n8736 28360\n29982 71428\n19409 30772\n32569 93278\n12097 34564\n28264 77853\n17740 96639\n71548 77912\n7381 75212\n54663 83638\n6136 69497\n43822 83916\n11036 57715\n33765 81698\n3234 58041\n17356 93727\n72721 74274\n59065 89819\n45824 47727\n13973 85529\n38561 55725\n12085 93274\n19557 26412\n88292 99929\n50967 55497\n60998 88054\n47828 57626\n5796 54936\n9608 27044\n21892 68439\n13240 14850\n39347 56282\n15579 67926\n16547 99265\n32664 92134\n8762 70341\n4488 54484\n39224 51872\n17589 23055\n44305 58851\n44441 63336\n55222 98975\n49982 75182\n58754 72976\n53532 79061\n22012 62926\n9042 43182\n7278 88811\n819 23466\n43389 62454\n65884 96935\n232 43286\n35654 37285\n4920 55077\n63413 71686\n42599 86182\n8277 82315\n2279 44334\n1463 89971\n62212 68869\n36690 65820\n20862 59778\n29340 83147\n66951 70242\n41350 90248\n38529 88856\n28592 79376\n8718 28664\n19396 59793\n1194 58752\n5327 51920\n62732 72059\n6421 82973\n36865 40723\n27500 34733\n90480 95322\n7661 11212\n31991 80822\n67157 93698\n6886 35858\n3061 72878\n28722 41621\n20385 43597\n174 51548\n3041 90015\n31277 35416\n15024 72208\n62209 66065\n16156 76975\n8420 96300\n13972 54533\n15401 32573\n27452 62139\n14828 77056\n55073 82586\n63807 86654\n5933 96994\n64179 68303\n81482 99728\n17538 32132\n61149 80127\n30684 81213\n1214 76081\n30298 60667\n25052 90639\n14923 86664\n20072 32828\n54324 80333\n7184 82880\n62355 85582\n19667 46214\n30805 76212\n58243 64878\n24698 31130\n70388 85602\n14178 30347\n63423 75287\n12537 97985\n6469 86759\n15283 95553\n28802 31598\n18564 57946\n20686 47828\n1076 71308\n26981 40297\n41079 62475\n38881 95170\n4082 5327\n58525 62643\n2036 68108\n65526 67254\n28767 34170\n63532 93152\n80324 94345\n13816 19202\n29752 94057\n26569 61138\n10254 33525\n75740 78597\n52757 99118\n18239 50952\n23763 26110\n16727 90644\n36047 60842\n42875 77671\n39494 79895\n18653 99543\n38055 78970\n6456 89375\n4099 13405\n36393 37793\n7211 89603\n24614 45052\n70562 81681\n60911 94647\n54093 94532\n23266 43008\n5795 84404\n54878 69748\n7292 75494\n213 78134\n41236 81047\n40317 94001\n89915 98543\n24336 73158\n3729 58171\n17213 27636\n266 77948\n14801 88605\n39849 49142\n62763 88434\n27089 61579\n27696 80142\n187 12674\n38075 45590\n37559 61009\n11344 13917\n24373 82467\n6249 26875\n28780 60380\n26011 89848\n4021 99206\n2479 18442\n133 84603\n26224 50523\n16608 31647\n5646 53124\n845 21213\n22391 51568\n38431 67791\n2893 35850\n28346 55278\n59569 82490\n20384 87296\n26062 28033\n25074 49782\n2606 50290\n29492 66634\n64039 75677\n47493 47576\n9482 54635\n62156 81407\n33335 99206\n28065 90468\n93359 96583\n3156 39050\n60971 83955\n4878 99049\n47316 70887\n35875 86926\n36487 70037\n4094 89658\n32744 40890\n24060 99660\n28924 78618\n19177 78833\n17681 44207\n72111 98599\n25291 97878\n62122 63841\n45769 96932\n58308 83004\n48578 59643\n25704 79552\n60941 70684\n51865 63994\n29000 98460\n2790 67179\n54564 79585\n28560 34422\n6654 78639\n35036 81455\n24017 96138\n32463 81673\n34046 90249\n24232 65281\n37161 62332\n15442 42573\n33029 66963\n79709 96239\n11600 38275\n15141 58226\n26508 53755\n39761 71934\n44229 79735\n21306 61092\n46209 65718\n24790 85740\n19089 53128\n53725 98940\n40752 45225\n53306 76578\n35981 95232\n31710 35384\n21475 75501\n21710 91870\n4296 87666\n42330 51861\n14418 75148\n3663 88021\n49281 74477\n79788 82092\n33050 76614\n41677 79375\n20855 85309\n19621 33474\n11240 65729\n86030 96906\n45954 68628\n56642 81625\n36061 39497\n23250 48078\n77917 95633\n37695 57308\n57755 93469\n46927 98871\n8088 62449\n56853 75894\n15728 71381\n35124 78995\n1843 60203\n4343 94200\n10428 54264\n5116 95357\n12508 85946\n41979 60647\n11999 94603\n25325 66457\n67332 72757\n27821 92126\n48093 57050\n49676 56957\n63009 74174\n5266 54684\n50660 81795\n25867 79363\n82987 99477\n3788 72692\n53773 66314\n9568 41074\n29467 82926\n29249 29979\n24711 32466\n10950 33277\n24748 81659\n47306 98297\n74086 84306\n11113 25950\n68092 87514\n74120 84546\n22220 46243\n568 17084\n3570 48514\n34200 77881\n56868 67243\n9786 43045\n66225 85771\n1816 31352\n62588 84666\n18571 75073\n22891 72163\n27288 77249\n20143 80599\n42182 69061\n49974 60204\n26019 47621\n7641 21725\n7031 87786\n40627 81987\n6921 7581\n23549 57708\n5757 21773\n24119 53860\n7869 54968\n61817 74209\n20950 68630\n3908 75073\n74193 92543\n71284 72684\n41291 88991\n86950 96849\n36165 72870\n18171 66931\n48906 64122\n63706 77093\n26219 75045\n44481 62063\n39357 77565\n27889 36007\n2920 16869\n62518 81476\n1696 91084\n48368 73632\n2458 37684\n16585 48873\n7623 94558\n6803 24208\n36318 72353\n39571 97512\n56016 89152\n82531 96573\n19707 92594\n6776 43891\n13260 31839\n45061 82417\n50434 76899\n12840 34232\n5045 20188\n24871 52037\n25170 81336\n9607 20770\n29393 31251\n7667 19364\n15592 24708\n15375 53064\n89360 90115\n78045 80782\n6243 34446\n1722 8763\n25904 93797\n1337 57481\n8322 64074\n76590 95998\n2295 23715\n20156 92444\n45252 95294\n23754 74226\n77469 97310\n12487 63701\n88814 89734\n17115 49277\n11358 95603\n1066 4795\n26930 79791\n66677 91113\n45257 86702\n50391 59771\n61516 98176\n37250 92638\n15146 61117\n8057 18018\n33284 77574\n47477 83931\n7391 86569\n28453 78542\n225 20220\n11379 51178\n2832 75397\n35304 98089\n21337 89461\n3574 9947\n17179 25590\n60771 69898\n49049 85301\n42652 68731\n51818 54728\n31918 38681\n26660 44240\n40183 88147\n7129 30517\n39849 48573\n474 56765\n56813 76626\n43210 97132\n31455 84607\n16575 89539\n41808 45090\n75747 92385\n18206 45317\n25340 87833\n62627 70440\n48376 49865\n9017 10843\n15889 29927\n18598 23082\n32972 80583\n49126 97680\n22066 65654\n49045 55846\n46381 64523\n63453 65514\n90123 90214\n34289 85529\n50006 57861\n14678 52305\n89044 92257\n12171 66728\n5321 75574\n28192 99831\n13714 65402\n56061 72864\n26777 86412\n48739 76031\n75125 94970\n51249 57705\n33032 46033\n11369 27213\n61982 89348\n870 26477\n23326 64531\n24170 45230\n42428 75699\n38178 90208\n9835 69621\n45748 68010\n80850 95035\n48833 64341\n77800 84241\n45871 70733\n39546 80335\n19074 24773\n92833 97687\n63368 90892\n15774 87173\n22363 78114\n64188 95103\n2919 23131\n7019 80042\n50506 83787\n66319 77635\n2987 44788\n21146 23958\n42146 53441\n70320 84312\n59099 90775\n16817 85349\n49219 91973\n37899 59947\n47118 66409\n18795 65700\n28855 46816\n8798 12801\n45973 93962\n83024 99680\n82615 89907\n3127 65762\n7886 92289\n21290 58160\n18357 22639\n34624 58219\n51081 98017\n61553 93761\n13973 42244\n7261 33209\n3362 15162\n63463 71536\n15545 91232\n13284 57519\n907 13325\n69753 77165\n22292 29708\n60663 68446\n17270 64470\n9170 55174\n15588 82562\n16479 59630\n62763 67555\n24850 78966\n81033 93382\n67957 70118\n42684 79492\n17399 26302\n16233 53025\n38526 51656\n19998 75134\n22897 31400\n48070 70426\n61796 91890\n27467 54617\n54423 90967\n1642 58664\n46088 75868\n43314 54358\n23941 42406\n42060 70248\n45695 84590\n81236 95043\n27193 59078\n38772 39009\n17403 49471\n46376 56016\n23664 72962\n36142 51190\n25846 36324\n55034 90624\n62838 79973\n71266 93219\n90911 99701\n29807 44152\n44019 54939\n21340 86586\n32659 96232\n53569 98545\n40690 54410\n8095 30965\n73893 78360\n49175 51568\n22329 80805\n55307 93035\n30925 35472\n77050 78634\n60437 92108\n27254 64480\n4051 41482\n8297 24207\n73229 88110\n52926 90662\n58872 81648\n31860 35239\n20372 42997\n49157 88136\n41977 56879\n42825 84809\n48604 69995\n1691 58866\n34586 90822\n8536 57644\n5585 67616\n1931 40496\n45811 55081\n41227 61718\n9132 58636\n3838 4042\n77519 87084\n28729 42466\n19337 25260\n5968 70985\n48564 52171\n66423 99418\n79524 89801\n26783 91076\n4077 25630\n28391 64024\n33467 51245\n62 77787\n34862 62752\n33423 37067\n706 87066\n2020 82914\n29549 76564\n36401 37187\n32701 96863\n80001 88538\n74655 88966\n50070 66571\n21995 79441\n7208 14712\n28099 84932\n45358 98701\n22141 62803\n30410 89302\n88688 95768\n1605 37928\n1216 73672\n47344 66679\n12585 41890\n52083 67048\n14906 64622\n53671 74272\n7932 77272\n39065 96092\n65123 80941\n63022 76635\n57696 62030\n21079 52273\n4973 62706\n33648 96419\n34234 35210\n67515 91180\n5095 51471\n17056 90982\n24175 29002\n32125 77024\n27382 27920\n70906 98886\n38922 46313\n28352 52023\n41085 71338\n60426 88539\n12655 72063\n10336 39885\n58229 62495\n49040 77607\n29010 76791\n45260 57987\n16098 34349\n64857 79021\n566 57701\n138 74289\n24601 39803\n47806 49658\n24850 61435\n3037 15720\n22763 99723\n55222 74180\n37368 51223\n9905 87999\n47500 54307\n13514 20496\n276 4943\n78679 91684\n27088 74715\n48262 57239\n58015 84223\n6290 25263\n38598 61714\n36596 80450\n72826 93159\n68274 72549\n34723 53737\n859 27998\n34305 44056\n81925 89737\n20738 94774\n54730 69996\n21724 42646\n68563 96559\n29245 84649\n91030 97500\n12518 57154\n26157 95313\n18611 94724\n4447 26001\n56090 90390\n78976 79962\n46535 54082\n12840 71604\n89834 90828\n46670 79451\n20610 80376\n45589 71509\n17474 94652\n1287 49827\n22779 75080\n50490 84978\n33852 94834\n52191 92758\n5695 76690\n47703 86388\n42216 46459\n90846 99118\n1165 74547\n66478 91256\n29201 68791\n32786 76159\n62414 89012\n13092 39080\n11100 93787\n31788 39426\n63036 95765\n45374 85460\n871 79301\n48989 93652\n64285 84047\n24752 66229\n24868 76463\n68094 96511\n7285 62388\n56863 72029\n41967 88773\n58857 68275\n25178 38086\n48543 59491\n17786 67394\n28559 40607\n33933 83485\n60478 84924\n20051 26098\n84922 85071\n27669 35766\n22129 98138\n30369 66624\n42770 81296\n184 17688\n37200 84181\n58906 85928\n7487 78304\n58879 80506\n53669 92790\n38669 89364\n47834 83389\n25494 80834\n82673 98261\n9486 90169\n75271 77685\n18363 58011\n43573 60678\n24866 33699\n59749 59876\n41574 73241\n40972 77179\n47461 76569\n53873 73476\n68062 80908\n20004 60418\n10310 76707\n48183 49341\n49513 98663\n16881 89169\n8973 67803\n53501 77722\n74279 94479\n16248 87689\n47731 78209\n76790 89621\n29513 83194\n23862 52026\n56422 90860\n25418 72469\n50152 76932\n77335 88689\n40751 41860\n37514 59561\n13044 85483\n25495 76104\n10056 81799\n86704 97339\n21762 55700\n49546 77234\n37956 81874\n9816 98941\n31843 92506\n3886 6801\n45562 61939\n30615 78429\n6180 59056\n45946 97007\n29513 56957\n44968 72974\n15323 22059\n10231 58966\n9405 92721\n31100 98156\n29568 70582\n14805 37828\n54428 56910\n24715 66005\n17489 47160\n18152 86478\n49619 65897\n22147 41856\n56307 75572\n47169 67628\n53444 88975\n16140 95029\n31225 59242\n22443 66585\n52334 98851\n34078 98252\n53386 72367\n56556 71993\n5288 28159\n75820 79240\n8341 91228\n18671 62089\n3665 87598\n54324 58105\n10561 97000\n22828 58947\n65024 83199\n1477 5777\n40201 62777\n26933 48669\n62543 76127\n32531 53842\n17433 62593\n6033 56645\n9388 58713\n49971 62522\n37896 97838\n23897 65856\n8046 60711\n1112 74689\n7894 86856\n56257 95230\n3215 58443\n68909 81374\n14341 81677\n86415 93871\n66516 77682\n22294 88086\n45500 89975\n15050 81806\n64240 85498\n29744 43548\n64279 84599\n63885 73600\n4578 91596\n4389 25615\n38175 92348\n15154 96048\n19533 80625\n59712 94472\n73079 78062\n992 54376\n80633 85529\n76837 90032\n74972 77977\n39154 60913\n7493 13931\n24419 61569\n30516 49439\n46022 46770\n10257 72258\n34396 77123\n16087 25876\n38142 58734\n35929 62975\n85079 92808\n15 33442\n59442 70112\n1616 65193\n4877 45963\n5760 58327\n62260 81631\n43462 61087\n40906 52770\n15999 25018\n84382 89130\n3001 39774\n57968 97494\n40144 58000\n32902 81697\n37241 77174\n20432 52949\n2864 48368\n26226 72625\n86751 90175\n54677 99338\n29528 80112\n22591 39131\n1595 18124\n84912 92815\n65606 88878\n15524 19044\n31259 93866\n18488 31317\n77463 78370\n79755 92850\n33351 96419\n65331 97670\n45668 98169\n54472 94978\n77520 78847\n21563 43641\n20589 38716\n54488 82636\n76515 97873\n42432 78808\n26724 61384\n7515 69476\n76439 93072\n4948 65011\n55733 95768\n20780 96976\n36156 69051\n30592 39556\n56310 87262\n24463 27190\n13738 33910\n7554 28333\n4414 74137\n42542 85789\n46020 82493\n9256 10771\n85280 92822\n20803 68173\n44567 91271\n89956 91145\n8816 77815\n40686 50483\n39156 97006\n27069 97535\n20259 53444\n55394 84026\n61498 86884\n51048 62889\n93099 97689\n25984 52185\n3817 25136\n33878 43036\n18487 55048\n900 32263\n10990 29430\n80408 99140\n65756 69900\n4329 27702\n56818 88116\n17920 85270\n775 26846\n41892 44729\n30956 39946\n44366 62670\n35210 51767\n12084 77443\n93450 99842\n26358 97214\n14228 61771\n37453 62624\n73032 79907\n6282 21724\n1984 8588\n16286 28981\n1170 74737\n54787 72327\n27253 79049\n83303 93460\n56335 89438\n32677 79218\n42195 76523\n57289 77001\n6890 29535\n37927 91319\n64389 81217\n62192 74134\n228 79828\n65136 85060\n60548 72253\n51383 99175\n27827 72021\n23920 64459\n9496 17573\n27918 50680\n47465 81184\n23193 38345\n3466 83251\n12003 58390\n29535 80477\n30875 46028\n53788 79068\n11964 79517\n80780 97797\n4556 54353\n48786 94985\n2752 48155\n20098 44691\n15877 78790\n52370 99654\n6174 21416\n26291 42599\n9627 15537\n61989 68881\n83136 96161\n16310 64558\n66575 96193\n15234 85694\n3200 72188\n170 33505\n618 29374\n17431 18198\n27550 44509\n65892 83565\n12430 91846\n75307 87066\n23020 43481\n84318 87533\n4498 37039\n41457 81782\n9715 31933\n4868 72026\n26638 40309\n52476 86171\n73566 89188\n2929 36033\n2457 20873\n13039 14288\n23921 71874\n456 37881\n17945 41785\n20238 73258\n62176 92055\n53928 54707\n44501 99475\n13247 31526\n56959 83677\n3837 68066\n26778 95029\n18593 41952\n23427 25440\n64273 88343\n48217 92559\n8357 54481\n3199 94106\n15717 17417\n36158 78304\n5297 85530\n10208 96555\n50266 95167\n55906 68478\n51496 73386\n18441 22567\n14464 45165\n18345 78929\n66941 88901\n30240 90154\n58858 70089\n20334 40458\n28602 47628\n51400 85696\n41320 55362\n53549 81516\n12101 23280\n56230 60962\n38148 44219\n23015 36241\n37114 66316\n10437 78532\n25663 52994\n4426 56376\n73220 99288\n22493 76915\n52539 68074\n24596 41249\n33814 57242\n23115 29708\n615 45465\n2749 38428\n43673 73711\n10375 19546\n23190 85970\n1860 48868\n41555 92568\n20831 57726\n3421 95801\n57827 66984\n32394 37076\n51014 73970\n13186 76924\n51290 73988\n79462 96351\n20750 67191\n13176 58802\n21467 88806\n32714 71908\n215 14883\n57219 89445\n38704 74395\n44034 46712\n14853 26460\n32010 64871\n40887 63592\n4079 79359\n11280 34896\n9235 96168\n45712 84972\n28033 93574\n72945 96127\n22426 61185\n62774 70852\n38475 71654\n9465 39682\n50587 78827\n26732 39111\n47341 66123\n56755 74874\n24994 60056\n66012 78683\n14837 77726\n65073 87237\n17094 39696\n54184 96714\n12726 42327\n17838 84243\n73355 79371\n39017 84686\n19419 69822\n29343 83015\n913 87249\n39008 55012\n34667 58062\n33098 75089\n33622 52811\n48542 86462\n22546 85024\n39847 42568\n49944 60642\n38979 54183\n16311 16558\n30553 86840\n2081 60563\n66978 96517\n84009 90105\n43548 58342\n4954 84841\n11792 95518\n6786 99525\n5241 82430\n27894 43080\n67493 70742\n34070 90124\n1402 27907\n57447 77723\n30535 99590\n2295 29312\n22781 94899\n79657 80610\n14929 36412\n41137 51267\n69607 74198\n84592 97822\n13184 44201\n70107 83362\n20984 57650\n24564 90229\n48974 68493\n27708 91771\n12633 23785\n5556 65688\n8230 73318\n44964 46868\n28938 73163\n7854 68404\n25166 27179\n30068 89379\n39834 73067\n929 83098\n17965 94955\n65295 74884\n76939 98223\n6643 97278\n9281 41308\n34884 45630\n731 69606\n74565 81910\n33603 85671\n64302 82783\n809 68287\n68579 86631\n22136 91334\n46096 87587\n44325 67782\n42899 48350\n4089 52534\n15246 17837\n7360 88384\n2253 46434\n62298 84518\n64621 70436\n19255 22962\n5556 96918\n4807 34760\n1028 55463\n24368 50909\n84876 90490\n46855 72032\n6399 77141\n30778 38082\n35102 68457\n46973 91419\n27114 35589\n75513 78442\n19255 83785\n69397 75776\n83314 90412\n93 52800\n60183 69369\n36858 53065\n33436 54288\n53901 92803\n49881 77592\n21129 82589\n34303 38420\n54450 84888\n90316 97967\n33747 50173\n3743 40428\n574 21787\n21045 96509\n44429 55857\n84344 92422\n41179 55120\n31623 92667\n8126 67889\n73684 89582\n3179 95033\n24899 51172\n83062 84688\n18459 19225\n22731 54471\n11253 84384\n47711 72866\n74738 86329\n4594 81011\n883 8870\n56562 86667\n29620 56177\n5770 19928\n2223 47258\n16567 75858\n32484 94725\n4881 82563\n30767 31453\n8312 21448\n29347 55084\n1226 93145\n7743 95949\n13229 59985\n36994 93273\n77394 90879\n26806 45347\n29958 68793\n84008 97083\n58728 85400\n35574 86065\n42789 78512\n16805 84404\n2238 72500\n17707 62036\n71 66914\n54815 70979\n9063 23701\n45827 71589\n22753 75780\n62652 80238\n39429 53533\n11088 89714\n56658 73794\n64635 64660\n2612 47658\n4537 56821\n13935 86122\n15582 85470\n52733 96280\n87218 93289\n26011 98524\n56884 91867\n78703 80755\n64268 64708\n51518 66150\n94161 96695\n41992 78793\n60979 92507\n40903 43645\n16560 94941\n1305 38530\n5990 58430\n805 70259\n28182 38764\n4549 15779\n44126 74351\n33664 54068\n5115 39661\n14979 55778\n42459 86272\n75054 96295\n31832 96910\n4160 31104\n30454 45946\n15351 78674\n64869 88782\n53935 65027\n14840 39321\n71880 87707\n60016 92385\n15018 32345\n35691 53468\n53983 74081\n35223 98938\n38473 78541\n3009 48545\n576 77745\n27591 57380\n62892 78913\n70518 90995\n79229 84440\n9592 11739\n41358 58103\n1899 98850\n31712 49523\n64294 70775\n988 66124\n25239 46288\n53277 80246\n2715 34648\n15951 20972\n57857 94173\n31186 38301\n57308 72285\n48558 87557\n62358 74695\n17705 76221\n39485 43274\n24839 58247\n985 86183\n447 40078\n351 11612\n2327 23803\n91318 92236\n67673 82832\n17252 19700\n52918 73660\n74013 79064\n30417 69234\n3746 46761\n36914 87985\n79804 81105\n38688 89036\n20039 99834\n16493 78521\n702 26310\n42611 52105\n44323 48207\n826 65551\n45019 83698\n13442 76872\n13326 86395\n36073 51830\n42039 57871\n71585 90643\n23123 61858\n35519 82408\n687 3183\n31556 73444\n5659 81146\n43248 61310\n20822 33637\n12296 76289\n47445 71642\n19763 66876\n52141 72078\n49612 60128\n14790 15733\n15251 76456\n36094 85267\n1815 31810\n1671 42095\n16630 71326\n29939 31572\n10218 29606\n14723 77422\n11848 98668\n82800 99000\n33756 69031\n28907 52135\n29311 88914\n19495 26485\n4305 21761\n77820 94233\n11461 64880\n2404 54236\n1937 48893\n3307 65261\n45585 63510\n40568 71886\n34727 99876\n9302 89021\n56416 76657\n56961 82311\n7519 98344\n34366 49623\n49863 51306\n13345 16991\n73254 79093\n18198 45077\n13859 48477\n53238 91985\n15410 42110\n45038 52357\n34463 56679\n28413 92910\n20002 42694\n12535 99896\n22669 27042\n40328 67569\n15310 81563\n26699 85614\n49074 99865\n27964 82145\n18235 44743\n60584 72631\n30497 39722\n45270 59820\n31298 54248\n62281 87517\n16668 43433\n2689 31496\n25553 54639\n57122 65756\n5532 88556\n18629 19481\n16764 57670\n24820 71362\n34048 40970\n26587 33014\n28645 44171\n14148 88439\n14941 23499\n15846 83415\n3394 36331\n45355 86780\n31656 99505\n86518 92114\n11943 70117\n31970 51280\n63950 89959\n16750 81097\n39403 89834\n32568 39575\n37566 77564\n76677 91291\n32540 82706\n12845 76256\n64828 79213\n30961 62843\n50037 98237\n83261 88789\n18572 31514\n2819 34298\n44072 88274\n43422 67311\n15238 84131\n50898 54558\n32106 73873\n38289 94115\n37249 46841\n51488 96738\n5901 19937\n13982 43105\n27149 57099\n51616 62838\n16628 86073\n54207 84206\n35119 77891\n61284 96192\n41137 43091\n43642 97241\n49769 76261\n72442 72816\n5873 65963\n48024 56935\n16136 63498\n30468 34646\n17178 46968\n10016 32107\n69963 90889\n45790 99533\n17821 71577\n12732 61470\n73406 87139\n53472 61779\n46079 61361\n54506 78767\n57837 83081\n35756 70579\n26576 92649\n8746 75164\n50833 62333\n11500 42772\n56455 80991\n10615 68951\n46801 72930\n37862 53942\n485 70602\n20345 70650\n6760 17205\n8671 49973\n20840 92481\n21475 95346\n16962 31876\n2331 73034\n86818 98105\n51632 90501\n22606 70619\n3500 22655\n6130 21959\n12425 51814\n38605 87014\n7738 73268\n37974 47668\n9508 61233\n701 19174\n37642 86069\n43308 64320\n27884 79568\n77327 81009\n54513 56381\n61143 95872\n557 12302\n12251 92379\n50083 87693\n50087 68598\n25197 80218\n95751 95877\n998 25831\n9442 30486\n44408 74622\n15488 89485\n29765 29824\n34622 40171\n37376 44964\n10436 62653\n63604 77605\n28735 51411\n48600 92439\n40157 84093\n11626 92448\n42498 64736\n2915 96970\n2954 10011\n47604 60106\n49641 68917\n12523 71429\n38659 86867\n55984 86141\n31150 75376\n2267 97894\n7439 28562\n70811 93499\n22966 31522\n50372 62149\n23229 86112\n66597 86512\n15407 61209\n51802 99182\n10477 22181\n23717 59028\n49478 50684\n4278 4778\n52705 83599\n16082 79587\n49100 89989\n17844 38913\n42443 66105\n21379 54529\n57660 75982\n122 29926\n60133 82338\n54484 98326\n16019 57037\n23200 34080\n26417 59903\n18085 23903\n66496 92649\n11082 98395\n85107 85250\n27890 69564\n25487 27627\n4253 61367\n48293 50752\n5509 34910\n34908 57546\n864 22806\n64150 96877\n70374 94209\n63738 82077\n11603 53955\n48521 56279\n40436 54597\n7480 96770\n11087 58619\n69435 81408\n28518 41100\n45403 81081\n4869 53495\n43225 90809\n898 39830\n14215 63994\n37847 38764\n19966 52889\n72636 79937\n4521 84758\n781 85898\n80405 83606\n26920 73803\n86647 87870\n3784 12683\n28671 43977\n35447 74182\n19576 43685\n78546 93060\n24287 59159\n51530 61518\n47960 79587\n7154 18735\n17817 66562\n31471 83452\n54869 99684\n14701 76183\n14244 69011\n46643 85235\n34299 85499\n80883 84781\n33571 51611\n87418 89739\n16673 62933\n22013 25453\n16318 20284\n4278 23285\n38613 48957\n64415 73513\n18242 25117\n171 74195\n61149 69230\n37296 55029\n55953 68087\n11926 75459\n36229 90777\n13179 56013\n45139 82890\n60490 84607\n31186 42287\n8282 89291\n14933 91085\n48922 67257\n41845 70571\n22405 34008\n429 6602\n88299 90392\n29956 82737\n22411 42466\n40650 93166\n16535 29435\n76 85945\n42873 64800\n73088 76524\n63916 75453\n26483 37636\n26238 73559\n12573 20149\n38576 47946\n7214 72095\n39236 76316\n36817 94557\n70129 85998\n15360 48265\n63190 89011\n61515 90261\n57130 95549\n36652 86519\n46922 77789\n24731 54241\n39085 95589\n33977 71897\n4154 57848\n25727 90480\n37514 83195\n86336 90073\n2176 50818\n7207 91488\n8712 48348\n22581 72749\n30066 44062\n70700 78493\n23528 88236\n30392 97778\n62654 85652\n20912 88584\n864 23023\n17515 43445\n67927 87519\n13345 85749\n9565 90119\n42907 44697\n30224 62993\n16170 51082\n55846 98849\n8151 41289\n53193 70200\n38730 47959\n15010 61854\n83241 90412\n31905 36375\n17923 54039\n69854 97245\n29000 37406\n7397 84439\n16330 79596\n79052 89224\n34515 93264\n29418 79491\n15113 71404\n35119 41073\n15470 20058\n48453 51216\n27609 47498\n70798 88304\n19674 42900\n17075 58790\n61722 95711\n75084 79015\n7765 31474\n49613 84472\n51630 69222\n16039 52142\n8774 21271\n9679 93515\n2789 59256\n73368 87889\n14911 44598\n33739 59687\n90164 91708\n2056 21753\n45510 66748\n1887 61563\n63930 70666\n15410 96947\n16453 20593\n57958 97803\n71143 85139\n47448 87924\n22221 94845\n45068 92406\n8633 47489\n48821 56247\n31634 96122\n10718 98915\n18475 91877\n39693 61491\n15528 40879\n15667 16797\n53561 73725\n12213 67640\n39021 83000\n21287 83239\n7111 57387\n48329 82882\n93743 99073\n71673 73430\n57411 89972\n23008 96079\n15290 55296\n23291 88440\n25710 93105\n22618 41962\n3690 36058\n42396 90617\n41392 63677\n27057 89463\n34498 97999\n28359 44563\n57519 88000\n20995 55703\n11312 20937\n51722 60486\n35511 51995\n15257 82135\n22756 72768\n32595 98894\n25970 76678\n49295 82235\n25888 62288\n67308 87048\n78607 94277\n52768 74904\n1755 99827\n32875 85562\n5966 18181\n28379 52333\n74134 88305\n18008 66430\n20870 41294\n52221 68362\n68908 77440\n39837 79229\n43064 56350\n24561 93025\n36609 62780\n25426 48549\n93784 97946\n60937 90837\n77490 86999\n33554 46513\n21862 59848\n79157 82911\n5198 24958\n46318 81503\n32070 77508\n57068 90707\n29235 92455\n7063 54182\n47064 88284\n11150 81434\n21924 92484\n9991 72273\n21162 64465\n90359 95534\n46740 49784\n48441 87248\n56782 83961\n38700 72130\n5587 15504\n22098 30653\n336 64110\n65174 70034\n8190 20223\n17737 41501\n18243 90564\n33327 94632\n10439 23427\n76002 94663\n18506 32125\n52653 62865\n68533 90822\n1401 80231\n32305 43370\n76495 76873\n16131 34665\n25294 57496\n31615 79727\n11702 56350\n56173 66830\n60414 75850\n33439 62119\n40917 93459\n63219 78140\n65720 80414\n54753 83426\n40357 51678\n8404 62848\n85549 95674\n38448 84404\n11439 48379\n8302 74663\n61233 75844\n339 96715\n4236 35635\n4275 15358\n29993 52858\n14836 36637\n17051 52462\n8886 53661\n55887 90078\n8707 25756\n10890 48774\n65368 91948\n78567 89406\n11925 22670\n13270 41780\n8043 53606\n3315 62641\n20640 54929\n7593 43022\n4808 52488\n66123 88831\n819 15680\n55403 67557\n43744 72845\n5763 34933\n42646 50601\n1549 41234\n48729 99592\n39939 98095\n6295 67630\n8094 47406\n8088 78355\n62027 74224\n10952 15071\n11346 36258\n82310 91050\n16048 40580\n44240 60648\n76321 99495\n31917 85169\n25687 91904\n30623 45906\n24403 67767\n34705 80268\n23640 32009\n15443 42650\n82362 96221\n33673 50949\n8270 10477\n16746 23003\n72283 95919\n22552 62805\n57335 75265\n15105 40734\n28680 84072\n15779 87229\n18164 87111\n",
        "output": "378\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 94,
        "task_id": 541,
        "test_case_id": 27,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 100000\n44294 49292\n47765 98511\n3356 82000\n11504 35776\n37433 69276\n4893 12131\n36174 56202\n34019 39510\n18107 42493\n64822 93942\n70227 74100\n3660 67341\n53260 84815\n57015 66030\n984 75225\n5914 85951\n54601 86499\n25371 52020\n6683 42684\n35171 80518\n31951 34942\n39011 64299\n37459 53883\n7978 68973\n33560 77168\n48815 79699\n26592 48562\n43278 79542\n94355 99355\n27521 90289\n10342 80586\n60116 99148\n19325 29747\n24074 56285\n6522 67096\n10031 93059\n25156 46642\n21415 59691\n48937 52099\n29729 55915\n63918 80367\n25045 66842\n29977 41601\n44970 73947\n11178 36153\n43597 98523\n12222 15490\n47157 78882\n47358 64645\n32445 60058\n24470 90503\n15125 80701\n46802 52546\n36020 93314\n26490 46417\n31534 86265\n33753 42688\n51709 96391\n45409 70090\n60914 67431\n23659 83420\n27670 54945\n378 32290\n58718 92740\n17201 41542\n60319 75752\n41237 95309\n25217 67057\n98557 99644\n49303 99123\n36589 76797\n15136 57002\n88226 90701\n18861 39462\n14866 57213\n30029 95139\n55413 95397\n44501 72243\n29527 56274\n32318 80976\n4031 35330\n57253 95313\n21435 21844\n29988 72303\n23528 48882\n16907 92394\n44398 72897\n31572 42055\n23680 58471\n77927 98937\n2878 76629\n85785 96113\n77873 89286\n11703 23509\n294 38827\n12743 96851\n76832 96224\n42766 42819\n18519 85232\n29905 74647\n40954 69785\n14893 53443\n40526 60545\n5441 79056\n49835 55742\n4599 57063\n11200 49059\n40719 72802\n5226 96939\n6424 55076\n23392 51373\n72310 96090\n18236 61227\n25271 61332\n54402 93274\n18385 96283\n4154 54601\n57219 83454\n59058 66658\n11948 41607\n10032 50341\n25344 55440\n2728 38088\n41718 45360\n40848 56195\n2540 8607\n12771 73900\n8829 9758\n4580 80782\n57841 63898\n58117 77010\n12553 73005\n41325 69948\n8858 24938\n34139 39187\n10824 27270\n88981 90084\n42176 71270\n69727 94988\n56653 69814\n72095 95358\n81994 98351\n14202 30389\n38241 53549\n69747 87107\n52670 77846\n22094 27331\n10100 66997\n4207 47319\n37922 54728\n196 22003\n32379 64043\n26431 93695\n18674 87860\n6615 13766\n43834 89691\n37719 59393\n35571 38457\n28250 47510\n8771 45240\n59750 85166\n60300 76865\n42727 48722\n27998 47401\n49621 99904\n25129 45892\n39288 45446\n67709 74928\n48531 98060\n24692 62010\n26653 65054\n18814 81409\n12064 77367\n20308 65072\n2301 71636\n20398 32382\n5057 64409\n33482 47330\n75010 82115\n47191 78993\n52407 93807\n36881 91524\n6067 85984\n14713 14894\n61703 62458\n75959 82425\n10875 67282\n69847 95659\n71232 87260\n12657 43050\n64941 98811\n82779 96671\n48240 54403\n13030 88315\n6083 83238\n12806 19752\n43708 98686\n41447 69864\n5761 43785\n2578 61603\n31550 64727\n78674 91325\n34368 88307\n19448 93251\n3549 81842\n17207 32405\n12509 42035\n2853 39321\n37635 83356\n54171 82940\n3981 31508\n45724 98136\n49527 53039\n21594 77572\n75568 76912\n11758 77807\n32794 49397\n63775 84098\n4543 85732\n46360 98843\n44792 65845\n30967 48151\n32698 36136\n39923 95176\n32344 77826\n12088 78521\n21876 85242\n38914 44841\n32090 32875\n30927 56304\n78604 93545\n7510 99724\n45797 79396\n5409 93157\n5450 77538\n37090 44559\n53688 93507\n48215 74175\n3890 78597\n59186 92067\n18157 99407\n38807 61706\n21027 91596\n45124 91886\n27357 97781\n36922 54202\n72704 78019\n202 57860\n536 38298\n19267 45376\n76190 88765\n41064 68285\n86872 90067\n35712 56110\n13096 50863\n4971 16744\n41608 44006\n49815 68257\n64372 91328\n48 98937\n31242 81971\n41010 88204\n13267 33064\n30392 42708\n45596 58830\n2130 55730\n36677 53397\n7652 87613\n21897 28609\n72970 77938\n43136 73394\n50213 69518\n40758 44600\n13602 37763\n16398 81062\n41035 99039\n64044 94883\n22667 38768\n23331 34007\n70657 80610\n21065 85296\n28411 96792\n1733 80884\n74958 95844\n49067 57011\n52280 62402\n15550 59163\n48200 79970\n2590 76297\n19808 22435\n1919 15219\n681 58913\n30862 59427\n22411 50860\n24301 30427\n14282 49605\n7012 73316\n25272 87502\n69945 78722\n6586 39332\n76462 88285\n7754 68866\n27716 52067\n4468 66092\n338 24499\n93631 97618\n27749 49660\n46733 52966\n62684 93931\n62041 68580\n8519 47329\n44825 51709\n33878 58846\n14991 78705\n64172 76941\n56301 72745\n5646 87139\n74381 87479\n32683 54082\n18311 93099\n83074 93281\n7545 37118\n36236 47833\n72062 75801\n95325 98391\n41172 65968\n47878 81155\n27159 49119\n18157 73967\n16739 44880\n30967 71009\n20683 54781\n81994 96385\n55503 88688\n32517 92046\n38753 41350\n28530 31607\n50642 68848\n30075 83075\n37159 71552\n15284 89923\n57667 66901\n10237 67153\n9217 61609\n6504 86541\n6776 31073\n21985 74100\n8516 73554\n6625 83319\n12311 89150\n32945 88739\n14793 91939\n49130 99803\n33061 54329\n69380 75200\n28741 87331\n56370 57612\n22413 25260\n20141 34879\n39024 44551\n50522 76107\n33209 45834\n4905 73964\n23466 65132\n8701 60168\n15743 72819\n7872 29467\n6091 68968\n12545 42636\n58932 81682\n49739 85810\n59134 70793\n59338 92232\n3105 70867\n24257 78082\n16049 68552\n14422 87067\n4424 61883\n50164 56577\n27408 35434\n41890 47393\n8162 91276\n49833 75308\n80507 99669\n12823 59811\n60369 80004\n41557 92076\n2345 35608\n17207 41293\n43608 46359\n4295 9355\n29754 82247\n3926 92953\n37992 61191\n48778 84572\n36636 71544\n3825 60637\n30019 57951\n52054 61110\n45559 70856\n44583 78515\n22825 74895\n27696 65859\n64774 96604\n36848 50990\n40873 55963\n28288 74383\n33867 83764\n44740 90513\n25191 92226\n42568 89203\n60762 78494\n86077 90581\n52901 80909\n23369 60955\n37916 51213\n84907 86090\n62879 82444\n21350 29037\n24188 75577\n2000 87543\n49760 58911\n36914 84003\n31356 60818\n35815 82042\n19734 21408\n19282 30986\n40209 53900\n5644 43800\n2447 42175\n70820 89061\n5830 35475\n15443 41174\n96675 98982\n21800 26004\n17802 64984\n72642 99499\n6863 89083\n37968 44755\n32548 60693\n74447 92892\n11082 81723\n83710 84199\n25021 34090\n59969 99526\n34861 81612\n54360 54826\n33426 46263\n18032 39692\n35414 63827\n57054 93311\n706 11466\n29967 34451\n18574 42154\n12242 37452\n20335 27324\n37505 80998\n69282 86223\n24073 53248\n9000 29158\n55465 78908\n12069 22171\n35994 74879\n18154 85776\n5686 84399\n70087 70094\n8357 70428\n9337 18343\n8084 49944\n53450 88254\n4855 55560\n32545 93461\n3737 24592\n47782 90638\n30717 43461\n12153 87403\n16509 18826\n48531 69795\n6344 39392\n50359 99798\n22476 53679\n22151 22842\n5998 20088\n27932 30416\n33548 99915\n11671 55678\n12434 83937\n29193 37349\n8030 8435\n77822 90614\n68184 68518\n29687 34582\n62022 81590\n46993 68574\n9729 25414\n68265 68584\n35104 76526\n46620 89289\n22440 95478\n51589 57994\n5155 38162\n37016 58447\n2344 4400\n7057 55952\n48004 88917\n69829 77492\n30172 65482\n7317 78292\n16149 22521\n16314 69026\n15262 59067\n47618 72620\n30401 45460\n79801 93020\n792 22275\n32798 86696\n7022 28974\n21897 59402\n2920 37810\n1561 65864\n84388 87765\n39124 75416\n8298 78169\n33762 34933\n55200 84190\n73993 77943\n16078 88317\n16275 29847\n30253 93274\n27011 99997\n21346 74240\n64930 99470\n5463 75284\n9084 38185\n74217 83173\n22144 89914\n6975 90562\n26163 42435\n55183 70810\n27856 33206\n20100 94677\n7454 11744\n7144 8141\n61270 87872\n68056 92300\n76315 84451\n24245 69981\n35705 58207\n87278 97869\n57684 95234\n42429 47307\n46963 98731\n15562 15811\n72354 96886\n62957 95606\n83343 85906\n70797 77762\n28753 73317\n19590 67312\n18576 99808\n26760 27212\n4030 88195\n25357 87873\n41158 43154\n59142 76180\n62534 62690\n17516 32584\n57801 80221\n90893 94920\n45398 47965\n2488 72588\n46444 62403\n54179 89354\n955 74869\n21652 89411\n30046 82034\n21950 76997\n3143 89906\n26216 76114\n31786 36276\n16212 33686\n7021 49406\n20459 39202\n73145 80688\n1440 46336\n560 89386\n97027 97370\n732 74513\n48296 75852\n49283 95939\n55186 88835\n22429 89267\n6345 12154\n53017 92576\n78929 97008\n29181 66454\n18251 84087\n2843 72455\n83155 89416\n53769 93780\n3363 97265\n64709 74756\n36995 65670\n16922 18048\n77087 84764\n71854 82079\n130 92027\n56685 92646\n22766 55163\n28061 99269\n807 51628\n41955 97913\n32295 39053\n10166 72820\n32215 40281\n91855 93166\n60610 79702\n20889 92389\n2224 51996\n31468 35588\n8985 85412\n10778 32350\n16289 22896\n22749 67704\n53544 68636\n4576 40270\n62885 76370\n82814 92459\n66242 93404\n28997 45637\n56504 81993\n29815 73959\n75531 97006\n20684 53395\n33068 48637\n19273 85758\n866 59124\n55687 63288\n16248 60676\n31296 69242\n24203 45797\n7750 77257\n49724 70250\n89127 89452\n46100 70648\n8850 71589\n3985 88291\n25814 85521\n57456 93617\n10211 14715\n955 71902\n46013 68528\n21380 25744\n11238 55582\n11366 94219\n10376 43764\n64051 74955\n23924 82959\n46075 48826\n55084 64828\n78230 96201\n23330 80991\n11953 60793\n28583 41649\n80586 85357\n761 19781\n52033 64026\n23425 64118\n16688 95004\n19304 74711\n63709 81911\n61687 87436\n37668 42486\n34707 86277\n78568 87236\n30698 90124\n403 99172\n4673 66535\n35638 44035\n57840 87936\n67625 96954\n9723 41296\n5673 77146\n74043 88182\n8897 61120\n14444 29202\n26927 73570\n69676 72156\n16929 17572\n26494 97061\n37153 86712\n39444 74139\n16676 89728\n20658 56133\n19661 43359\n17595 76073\n10843 50518\n9741 58689\n6943 51024\n60064 86500\n2936 5982\n19186 48843\n63020 89224\n29777 32910\n12165 22007\n17796 26638\n31817 60093\n4784 69963\n65647 93466\n977 34049\n11335 46052\n1218 31486\n49685 52972\n43201 90353\n30685 60484\n77478 87017\n83085 98823\n20588 99082\n3379 9338\n39626 97179\n2387 45958\n11386 13926\n38690 65868\n40193 86617\n55208 59758\n24396 93227\n69481 70546\n45739 79639\n54252 87048\n33723 61009\n63698 89403\n18807 54668\n11624 81849\n4894 95537\n31607 56872\n1668 70431\n58049 86694\n51393 87456\n14232 46189\n69415 97181\n90033 96244\n23529 81119\n36648 50874\n12436 54578\n40268 77155\n77478 83106\n24131 49124\n64230 74784\n30694 86475\n29698 51229\n43083 96138\n51271 52000\n11055 66269\n13299 31185\n79230 99854\n48528 49514\n40451 70344\n31875 71520\n16044 37684\n76487 85946\n33677 78089\n50724 93828\n33352 96928\n34274 94045\n79989 87561\n53824 68239\n15877 47213\n9527 29214\n65289 73375\n19503 89943\n275 24491\n55916 62668\n54867 97021\n48591 59114\n26834 92901\n10635 37226\n27354 62241\n28042 64690\n9389 69467\n6615 26513\n88532 95675\n20930 32912\n50841 93485\n91608 94926\n36057 43085\n45040 79517\n57650 76118\n39518 68109\n4275 11342\n41746 88297\n55662 81185\n24060 97325\n70263 93168\n10855 54994\n51166 86638\n60130 96227\n22678 45697\n89049 91252\n74548 79277\n6457 95843\n82188 89517\n33571 40644\n38053 61698\n62270 80172\n59616 71073\n66086 82770\n20783 57594\n24223 30757\n28662 84827\n58770 68620\n8397 50971\n40341 41811\n82361 99264\n55616 94174\n26612 45917\n88513 97103\n30164 60809\n69361 77872\n2461 52542\n4780 11953\n70239 97487\n9687 68363\n29882 89226\n32761 56738\n69423 74505\n1518 87747\n11113 30519\n21014 95403\n41231 63387\n12855 58961\n46905 49494\n934 96586\n1115 23803\n1606 44855\n4148 18927\n40992 84132\n55389 81309\n65234 67616\n22292 49551\n62938 81645\n43427 53667\n20977 56020\n27293 57641\n9742 62631\n11734 83737\n21009 22032\n31506 32565\n43215 78984\n7158 46289\n75379 98469\n47357 83089\n92496 97023\n25125 65633\n552 82434\n71517 90130\n21172 52861\n32056 32070\n20733 64561\n22832 88400\n47032 58870\n14699 93952\n70856 77225\n16652 78955\n52751 70810\n65276 70103\n21113 53534\n4415 21231\n58894 99904\n13370 33026\n8650 83957\n33574 92876\n5204 37379\n29376 62882\n56584 93986\n39991 58894\n88829 98935\n23558 75958\n1182 58695\n70509 81409\n2048 19179\n39749 62937\n10944 33392\n21347 90432\n76748 83195\n89555 98155\n31476 47619\n23784 56522\n1108 70081\n1085 58647\n46410 86650\n6784 42068\n15507 28546\n37643 64759\n41445 72141\n11240 54127\n24597 66359\n60024 65989\n13072 33319\n35262 88686\n39337 67993\n65446 73200\n4711 8699\n47143 82770\n13193 13571\n25812 69129\n6353 91386\n18692 26647\n23234 95121\n24256 91044\n61319 73974\n8618 36001\n35317 42426\n38383 84709\n34441 82977\n70838 81921\n32890 51086\n44799 97876\n21252 62735\n66536 66575\n15346 36365\n1643 73155\n16542 91236\n57566 98507\n10387 96377\n25557 57452\n26746 44773\n27345 79480\n3106 77751\n31109 74425\n60605 97136\n66358 68865\n69718 88060\n66241 95393\n10480 66278\n33176 41195\n23539 89766\n71348 82982\n4186 49663\n38520 71561\n23177 57442\n43805 45066\n57723 94106\n32891 98630\n23410 42921\n48909 63823\n4496 16932\n44388 94302\n14149 28424\n39942 87877\n10301 38371\n33604 99668\n10337 83643\n16655 51206\n4274 49230\n16367 94013\n15834 52300\n29383 99766\n15903 37064\n17406 76048\n59846 65743\n2659 85251\n13040 85007\n12490 62965\n75222 88503\n3670 50547\n41499 93094\n60684 91483\n37452 92699\n91209 96812\n25195 45876\n16279 72625\n57650 70074\n58985 95564\n2042 38022\n8215 27803\n12160 69264\n20363 41314\n36115 45802\n39704 61307\n14846 48341\n56529 97174\n25180 32297\n19227 20562\n87033 98857\n55812 92105\n75675 90372\n30409 59825\n1745 34031\n64580 78314\n11957 32508\n47514 76079\n12814 22040\n30365 79097\n12717 54395\n28526 69096\n8828 42328\n23440 74128\n4576 91366\n36043 39106\n448 76176\n11346 70136\n56375 62576\n53501 82123\n54051 76080\n82917 86335\n66474 94707\n40823 86022\n27535 63584\n57221 76226\n37098 67550\n5356 75447\n49374 82599\n20540 33227\n41037 88716\n47997 97288\n31528 34432\n25624 67443\n9401 75671\n49695 63985\n50385 95731\n2414 29777\n43235 60593\n19434 82140\n21630 61996\n52070 74922\n64106 66738\n6296 98789\n8179 47624\n49835 50015\n49446 56091\n32431 90908\n12137 30745\n52511 75773\n70517 98642\n24421 93046\n4440 91749\n30440 76101\n33646 65999\n14877 17720\n79372 91117\n36345 62719\n58709 64324\n11345 32065\n4595 19765\n22996 99000\n3813 7376\n19486 92015\n45579 65763\n34761 87496\n68147 80521\n9873 11157\n19243 93945\n8578 22936\n35957 88563\n53170 78521\n78253 84347\n85484 90092\n81877 91372\n48963 66740\n5771 32962\n12769 81045\n3044 9596\n21461 27798\n49771 83815\n41142 49067\n34079 72698\n27915 84347\n1378 58038\n68007 89163\n12214 63405\n66126 72010\n5985 7932\n34618 65591\n4651 44127\n43197 72544\n8352 68494\n72622 87618\n92643 96630\n6373 52007\n12482 28193\n14015 86918\n16372 64026\n9808 46224\n3153 22526\n57574 86971\n69502 94608\n80296 80582\n32016 60004\n20367 71743\n8518 98457\n7612 56375\n54381 73899\n28620 90108\n37420 88980\n63581 99806\n20578 63575\n10985 97909\n39526 99614\n69926 70831\n21914 61640\n29270 66208\n8743 77482\n8350 67732\n36268 50569\n57007 69071\n21131 91177\n72687 78757\n5723 30400\n74590 96579\n43514 92880\n59608 92119\n51735 62587\n18529 48905\n25741 98440\n5035 27791\n93789 99676\n1575 60833\n57101 78537\n48756 66622\n82144 97579\n13730 67915\n49117 96177\n11669 48858\n4193 14125\n10530 69195\n56462 76068\n9895 10001\n5262 16182\n36507 45101\n7987 82995\n54356 88774\n1781 68107\n26153 36575\n19514 87652\n4206 76564\n10287 81901\n7860 21855\n15702 70300\n35453 93020\n1671 15969\n10905 96746\n59496 71883\n53051 78390\n51745 62944\n45590 76173\n19873 79604\n27300 40852\n46820 81424\n34301 84908\n37502 65348\n43286 74595\n767 42522\n41955 66348\n18904 45987\n50502 78014\n18290 87247\n39604 66875\n19959 61076\n15797 52978\n38156 83272\n6308 14518\n3694 62585\n47182 54053\n611 70454\n31686 77677\n50741 67185\n29988 80528\n26193 69897\n40248 48380\n54174 78718\n42801 54355\n19582 56884\n14221 84523\n38352 71584\n15967 67429\n22595 52221\n1366 9705\n42114 47143\n32979 49032\n91559 99700\n14855 71580\n23782 98979\n71668 75653\n31908 68789\n75163 82528\n37328 78412\n10535 36825\n30253 61884\n66409 92193\n54402 71702\n37448 79354\n21037 35549\n39086 60224\n68821 92464\n10975 61233\n16824 34561\n36151 47903\n24512 46086\n15482 53341\n24510 71123\n25457 43123\n50817 71830\n48152 58825\n64973 83082\n9578 75304\n5273 54436\n20564 57955\n38866 69422\n1962 84064\n24343 63903\n40873 45899\n43433 52944\n6015 73455\n79847 87877\n60466 66911\n21005 54762\n61846 93928\n10895 13810\n18959 68429\n51812 62498\n30863 51624\n51490 78547\n1682 45921\n8812 80195\n56762 59034\n42055 68092\n10347 30764\n38565 89526\n4044 86127\n30123 67549\n13258 32630\n59325 63022\n76426 97174\n60820 68081\n1682 8785\n78000 86120\n61769 84678\n41504 99119\n39589 49586\n8176 11481\n25215 72687\n75559 87374\n69690 81860\n59556 97277\n11056 94832\n28189 74020\n72162 88644\n8376 11881\n9882 81690\n10136 16361\n72843 77776\n57063 88410\n14220 41057\n65719 89413\n67073 72448\n20937 79089\n66850 67504\n838 65882\n28765 68043\n45954 81152\n54909 92611\n7224 88392\n8783 36079\n25486 97631\n8406 60249\n14962 21911\n41239 79399\n9541 62814\n27568 56559\n3062 6061\n39784 54668\n43433 50245\n25082 75416\n19335 24537\n9934 34874\n73264 98185\n59690 97090\n30947 89502\n31144 63520\n24097 26829\n69760 71193\n28702 88962\n31300 45222\n69707 80115\n40918 53992\n16379 88172\n12140 66823\n28397 43192\n20172 34541\n36735 70535\n17306 35993\n36157 92589\n56498 64664\n1617 45851\n43343 77739\n8091 19141\n13524 28964\n50106 50242\n62835 77106\n58941 75188\n13246 40250\n46106 93695\n29548 91612\n2262 91002\n13925 32936\n1741 88972\n33743 74510\n11821 28395\n39933 66391\n14663 15854\n23773 67060\n75991 87807\n858 71383\n33085 58757\n43218 85339\n13598 59853\n18485 28741\n47052 71409\n24111 54049\n68371 75626\n40541 94808\n57654 74599\n17002 66840\n37418 38455\n77898 83133\n71443 97614\n79517 83466\n26203 40334\n57804 90951\n51521 58154\n18054 63972\n75037 98262\n79863 82874\n3366 92511\n15689 95958\n34893 59857\n48813 55862\n35976 38094\n54455 82599\n1018 35933\n58905 97465\n37351 98753\n55794 71992\n14283 71060\n3586 37433\n34574 42315\n16471 73643\n38851 76315\n27320 59905\n36586 40263\n13736 17561\n61680 70072\n71352 95492\n6629 26711\n627 1626\n80499 98134\n72601 87511\n9336 78167\n36253 81139\n30723 50888\n340 9294\n14072 66281\n10327 42473\n10564 24382\n2828 10395\n49351 59760\n43409 48832\n17777 33166\n19445 27489\n79570 95526\n93157 97353\n55955 82771\n6590 11498\n22131 85867\n25670 49782\n1921 13640\n4285 33655\n33021 36426\n63946 67943\n30256 47364\n6202 28718\n35299 70689\n46207 49096\n25976 74796\n14447 55784\n3199 23285\n17246 71386\n9605 44866\n36483 89031\n47675 82946\n58523 73535\n29919 50620\n36094 84617\n73485 82747\n27061 50558\n50566 68983\n42731 85988\n779 69448\n31523 58321\n33937 84744\n74545 75695\n37112 44958\n28326 75728\n74112 79131\n34786 87797\n25791 67283\n10945 43719\n60928 99923\n17936 58184\n13663 92541\n9847 65129\n7788 93155\n12822 50331\n21803 41298\n76249 78547\n32063 36847\n50477 63205\n21461 83653\n1658 71995\n64627 70963\n45618 65369\n72716 87455\n23968 62783\n47349 76517\n26278 46058\n81544 84724\n9114 31349\n23307 38272\n25951 76202\n16401 34099\n52170 62084\n67839 77950\n1008 40261\n45233 50577\n84137 98355\n69809 71001\n77050 81171\n41118 96216\n30530 79912\n44938 76453\n23989 56559\n7396 59878\n25448 61563\n82726 93699\n40864 42528\n6551 66350\n8775 12787\n13148 45295\n36945 66578\n15279 22571\n27418 73381\n33402 33657\n7654 24223\n45800 48070\n23228 98782\n25416 47026\n51633 71337\n30242 98636\n47103 99258\n35377 50748\n79838 80034\n53388 82423\n43538 91416\n57794 78278\n38456 65564\n70963 83621\n12112 13085\n91217 98228\n81945 89562\n79021 89947\n13544 75098\n82934 84983\n33726 62213\n62558 76468\n1195 96273\n49457 62710\n30418 92351\n849 57847\n76342 79687\n20188 61009\n27402 73277\n44950 58355\n79289 89975\n1303 36920\n20906 70624\n8727 99407\n31848 78311\n34257 42478\n20699 64430\n47713 58918\n30294 46859\n26030 47686\n50111 99557\n13563 18890\n43612 46056\n67901 73038\n4793 78591\n7480 48723\n30391 51231\n48888 66540\n52618 63322\n59428 95380\n48104 68443\n72573 96917\n16186 55323\n44262 46607\n32107 52339\n52187 92229\n60954 92479\n19260 36612\n25004 64676\n558 27343\n57099 79394\n10620 98960\n67358 98646\n53726 88105\n5187 95234\n57639 77351\n77294 88285\n2646 82704\n74517 81706\n10714 79539\n43334 84052\n21923 57198\n77278 96288\n87553 88413\n34311 56398\n49605 69185\n26839 90742\n37776 66572\n35016 92364\n13244 49977\n67885 86857\n86596 90403\n5904 67838\n46212 65977\n3795 95030\n14093 98488\n4377 92787\n7658 65408\n46874 46878\n54321 99323\n40883 94119\n19707 30100\n3030 64631\n9671 49652\n23976 63373\n38925 88588\n38002 49046\n32315 64296\n57703 74162\n31994 86148\n6622 78037\n69333 92860\n36182 77513\n4910 14424\n53014 74931\n28084 71367\n21815 74424\n40142 94129\n20334 37481\n92006 97116\n7555 49011\n13771 79830\n17171 93159\n19645 96756\n4718 93211\n6795 88311\n10839 80977\n14377 81887\n69983 86077\n36785 55015\n18711 85077\n103 27339\n86818 94210\n25121 32172\n23983 59741\n11317 72764\n44202 64965\n28667 85000\n41735 45676\n2292 23895\n44042 60559\n57148 99545\n46563 87728\n73117 90184\n31619 76684\n30373 98862\n2264 93905\n20051 49063\n39911 93558\n26333 88623\n11864 50915\n33976 34500\n30982 39748\n26405 46315\n21821 39235\n28571 42079\n54775 68659\n12705 75883\n24110 83750\n73465 86554\n49985 64657\n8943 92633\n2352 17944\n62464 93851\n80025 93621\n45062 48349\n38555 48183\n8033 14094\n66452 91980\n41005 69738\n9734 11484\n16418 77228\n52714 79702\n83138 95410\n30679 85463\n29858 68461\n77600 86340\n11491 56596\n12765 83921\n29542 57921\n64125 73018\n58035 94164\n68299 83228\n25898 51993\n58426 65579\n45876 85277\n46740 58482\n25946 90624\n60327 66978\n18783 50982\n30621 60115\n14739 39387\n20960 89226\n11240 18752\n43881 55435\n52909 85078\n67861 99213\n15125 44014\n32339 52481\n14780 19513\n56456 79302\n27681 40889\n85999 96984\n11654 94096\n12938 86072\n24358 29584\n36152 77851\n33597 43062\n58578 78787\n23273 25421\n82656 86426\n50085 59222\n40518 57682\n16849 90027\n43841 64155\n6006 49475\n15481 32509\n2780 85026\n15642 94212\n80756 96836\n12225 67786\n20800 81081\n71306 83198\n959 52998\n21694 65291\n10948 24799\n17665 77140\n10477 36293\n45401 78818\n448 90195\n34026 84572\n81621 94574\n96667 99318\n18313 87094\n5248 15853\n26636 70697\n21739 60167\n18642 81033\n44087 59634\n1707 34965\n82837 90909\n27243 68184\n48630 81961\n6180 72153\n26997 29388\n13145 72565\n12248 16829\n80939 81221\n23631 85834\n4565 69461\n45220 68832\n37502 45348\n6686 66217\n20042 23325\n24933 86751\n2290 53862\n18320 94695\n19579 89105\n43943 64552\n26240 78893\n17652 23793\n66719 81227\n54416 70705\n10769 92832\n23305 83047\n9451 24905\n79564 93623\n6067 37741\n43995 54791\n44114 80552\n38506 88600\n28524 45550\n5300 23016\n28151 90608\n25534 65182\n89430 98764\n34974 70433\n17425 27926\n20295 86807\n9325 62456\n15023 99726\n10055 38569\n28422 63534\n28541 51199\n16229 58037\n28924 39346\n3841 60545\n70370 97787\n3108 8402\n19084 61100\n28108 45551\n75142 90386\n3879 6247\n68244 81155\n57694 90473\n56208 71165\n32209 88486\n67816 96700\n32564 92910\n32356 78021\n13399 63086\n86231 90865\n12050 78198\n74177 81311\n248 48275\n48400 53612\n44887 87077\n25157 97206\n40049 80760\n26025 64311\n33766 97997\n27041 84177\n46681 96156\n30768 84453\n37787 39512\n16730 63353\n4537 25204\n29624 86313\n1155 19203\n15750 19776\n14427 52315\n17091 62991\n1757 30124\n7868 86763\n36279 51923\n16522 41047\n6421 28954\n4800 59603\n12998 78337\n15943 40720\n27476 32944\n44470 88434\n60861 79393\n51510 94221\n51692 66424\n27482 47406\n31213 91495\n37312 60611\n13094 32482\n16031 84676\n14403 44616\n14882 52382\n2810 46737\n10362 19551\n5497 22907\n34470 36768\n33933 93866\n4550 5091\n21341 31929\n31318 82807\n39151 60892\n17644 56567\n30103 77187\n22696 52790\n14353 99679\n51580 95431\n1667 64516\n35897 49127\n54650 77019\n32447 42067\n56117 59416\n77193 89767\n4364 6984\n75530 82268\n24006 76473\n54139 74935\n1432 50461\n53938 99177\n38381 92316\n26615 60467\n57097 79289\n25364 47525\n61439 84461\n7755 45583\n6309 25020\n13814 27173\n53922 55235\n11186 57562\n46942 68209\n85579 98765\n11180 51754\n38060 75125\n90822 91289\n17084 47599\n18660 70162\n17013 84632\n18711 91548\n65295 97454\n17307 99105\n64646 73475\n53620 62593\n7834 41570\n81693 82161\n19564 47985\n51554 96467\n43245 77197\n53910 93466\n34161 69092\n21398 72327\n27495 60851\n32274 78133\n15435 28364\n37294 41832\n65873 72251\n40008 71683\n20326 63473\n7670 40204\n57888 81818\n1073 9510\n1196 39634\n56536 76286\n58888 63639\n13142 30401\n64357 80365\n28005 97816\n76855 95468\n16457 92440\n49470 65017\n44324 61941\n39871 52336\n81106 81615\n64437 83809\n31103 46314\n1883 7018\n11922 29133\n29177 58551\n24405 63387\n8251 48138\n3515 55305\n2320 66635\n25780 75473\n832 76842\n87869 91244\n60816 83557\n3729 33712\n35225 38537\n22379 29639\n24723 46608\n20931 92023\n31746 89660\n5669 78180\n58624 92761\n70850 84733\n7119 52255\n15522 67405\n39392 48377\n32123 95466\n46746 96560\n53879 81792\n27470 95238\n11167 61280\n37078 47974\n78547 93351\n32421 95433\n3149 20472\n47309 52968\n37848 60205\n1353 55777\n62461 99309\n12494 86855\n11295 72887\n8323 53151\n28193 56310\n6912 25374\n22111 47021\n30774 71090\n24721 62769\n50025 78715\n1917 70099\n15997 34192\n39568 66960\n37195 51382\n1468 82267\n80152 82576\n23526 79753\n23099 38381\n49583 50836\n1810 59410\n38099 44483\n72321 86219\n2756 56353\n61621 93660\n19030 77247\n6113 35951\n36081 37446\n17392 68736\n85764 88460\n2169 44201\n62126 86965\n49251 53048\n36986 42517\n5474 6974\n16516 78420\n33857 81299\n41425 56470\n31591 78689\n6246 7175\n18600 25520\n41712 65349\n28135 91283\n40609 88606\n36921 64027\n3768 59412\n72830 89658\n2145 24611\n144 74765\n68096 81705\n24565 69155\n17098 27560\n53358 57000\n84815 96570\n21376 40635\n14281 31286\n32465 76380\n22932 85089\n51246 84116\n49599 63279\n72557 72661\n7802 45993\n77715 99865\n11472 86419\n6471 94138\n32168 43745\n23200 63441\n35162 76788\n44658 57966\n70985 82684\n56224 78082\n20683 51865\n13113 38355\n38831 48793\n55810 58674\n11456 24803\n6540 64693\n48343 64008\n64054 96219\n62949 67076\n46268 80856\n9282 70602\n26111 74357\n6844 6855\n4477 54870\n67005 86288\n5185 53945\n79073 88596\n26966 94416\n13235 59453\n73206 73997\n31564 62264\n33014 78504\n12507 13546\n20976 27071\n32509 87001\n72588 81820\n54931 58389\n31391 82500\n37960 80591\n5091 93194\n4209 6950\n16961 91082\n64315 89627\n74242 94558\n13065 36538\n4057 76443\n8834 21617\n61742 99608\n34388 47045\n86476 94663\n4796 18740\n11200 24415\n66406 69331\n54403 60722\n11251 36343\n26895 52694\n14685 25152\n26510 67306\n25329 77281\n24549 67890\n786 39213\n54072 87909\n21111 69398\n24285 45639\n31704 79353\n55958 87082\n88130 92160\n57794 77794\n2265 73956\n1817 68572\n43888 80042\n49880 55068\n15730 70417\n2611 19676\n4804 91624\n8405 48238\n3973 8238\n26808 42174\n45841 95431\n48506 83083\n10882 74674\n62887 76394\n22343 31033\n20972 72319\n20711 86525\n18742 65705\n3963 62702\n18309 83393\n41491 69515\n46857 53165\n37078 56035\n64377 91928\n26281 84493\n30145 74695\n7633 46862\n42176 56592\n66614 74532\n64739 78330\n26932 94084\n14407 17707\n68009 83527\n41551 53379\n8574 77862\n23279 36255\n81065 87924\n34355 57409\n11101 61600\n20102 74495\n10637 39958\n12704 45636\n8559 88073\n56658 95337\n68623 99727\n64252 71731\n11035 14326\n84325 92369\n56687 78182\n13828 66294\n19923 22752\n57994 69951\n26439 82446\n34260 52015\n31901 85791\n59490 69606\n38635 93097\n21667 49397\n69478 81922\n25996 52221\n3767 67695\n56509 74568\n65450 89087\n28169 97239\n637 53986\n21259 99836\n39759 47013\n32359 53710\n61754 71709\n14404 94514\n51951 96201\n19153 19765\n31411 59808\n46734 59703\n54284 73024\n35393 49861\n58200 65690\n39681 83190\n60883 85003\n35405 82040\n29507 96620\n51512 72229\n67815 79183\n14294 89225\n33776 69961\n36311 82242\n56065 85310\n33304 95259\n3885 25647\n74146 85813\n2805 47784\n14356 40967\n28396 36764\n26694 46006\n4262 16064\n48099 61676\n33119 83708\n45649 88383\n40980 42083\n24927 70582\n90211 94365\n88326 97394\n57826 77058\n850 35542\n77832 84899\n1997 54739\n3715 65656\n60579 68958\n35621 87887\n35157 59988\n19880 60310\n42695 44685\n91356 99693\n65741 99844\n49674 69973\n22905 58397\n21626 82146\n79770 91524\n28320 78436\n78281 91674\n19442 72719\n64010 72692\n54216 95424\n64161 94450\n72759 85276\n48029 86290\n44700 53553\n46810 53623\n22918 98291\n83677 90389\n34113 73717\n49383 55608\n27472 79085\n35232 88489\n13397 81054\n74030 94890\n896 36075\n13830 81875\n69954 91449\n27349 45944\n1380 51821\n10602 16119\n21538 56241\n19906 69044\n54876 97789\n84121 99944\n49754 75999\n69984 71329\n61855 87812\n46536 55586\n82701 86461\n8974 36051\n13342 85729\n20660 57599\n54911 56441\n48798 79310\n67001 86949\n17357 59550\n5134 22641\n46039 53862\n32698 80687\n45784 78852\n40742 80673\n85857 94342\n37186 79253\n72150 96641\n87406 96140\n50708 66855\n2265 11846\n51113 59784\n91236 94144\n5227 62730\n49302 96965\n48541 49066\n11836 92422\n30946 94994\n79186 97100\n9102 23729\n68272 72242\n12671 25668\n61132 95745\n56101 61801\n48003 58060\n8388 85612\n53530 59567\n20710 54380\n57822 65589\n90884 96397\n39368 72546\n6536 35020\n75577 75897\n3007 15901\n32321 75053\n25794 70219\n40956 49703\n17448 92077\n15730 64231\n1903 38686\n40538 77930\n9353 45071\n26742 58653\n85832 92978\n63766 89956\n6880 16732\n38618 65536\n13440 23379\n38503 49031\n55709 91003\n1560 40376\n73743 92724\n16003 48320\n76429 92044\n40820 60735\n15954 81588\n33279 70684\n35603 63378\n20300 50016\n56577 66102\n42217 50286\n8256 88341\n8661 79793\n14193 34547\n24298 78143\n18409 55162\n36578 97053\n73386 77245\n49110 49575\n10600 15008\n30711 72538\n69241 72918\n6111 82799\n30304 35104\n4302 78877\n18405 82080\n14985 87862\n45551 46395\n55561 70385\n24651 97828\n24578 55761\n40864 54111\n33898 92222\n32945 98948\n44362 65963\n31381 41126\n17732 73147\n36338 72678\n15647 75111\n41228 94494\n19199 30479\n34381 75440\n36740 70676\n4541 11534\n63701 78245\n9666 91278\n55036 97717\n32153 83096\n19442 55123\n11125 60730\n47835 49189\n45970 50790\n5584 17013\n38622 75087\n28174 70927\n30225 62325\n21574 76107\n48582 96908\n6030 15970\n67528 96824\n79888 84303\n12957 19855\n14588 94620\n19272 98711\n49273 58781\n20840 78441\n69629 97294\n30159 60581\n52842 78306\n30351 56997\n37449 49837\n84962 97123\n19204 50386\n57681 75561\n14691 79237\n28193 41979\n7786 56575\n30951 50336\n57591 98464\n15757 27304\n76904 88038\n7124 60513\n1138 62539\n42874 54928\n42415 64875\n43639 70449\n21923 89259\n39121 91626\n57700 74728\n30604 95580\n42974 98015\n45019 74948\n44187 57221\n89742 90633\n48690 78775\n47481 60399\n11847 97520\n4082 16812\n32540 71879\n40927 73610\n19541 77316\n34511 50464\n26529 35191\n29547 90906\n45263 61028\n54114 85038\n50329 79937\n62810 97665\n4158 44234\n67894 87873\n11981 31404\n71820 88284\n62023 94461\n50001 96512\n18648 85763\n55240 72773\n52031 92068\n43068 86053\n4369 46156\n64574 83080\n25822 91375\n53851 74214\n32895 35505\n38338 53526\n42159 96743\n84375 94966\n1167 72616\n34007 84456\n17219 28991\n8968 67950\n39958 61341\n12937 15054\n29621 53490\n73309 79249\n40439 95114\n4041 99186\n76920 83688\n19683 60450\n31813 62017\n86747 88937\n2821 67142\n15912 55680\n21289 87628\n23897 76014\n10364 81787\n63902 68293\n23620 95992\n55464 85058\n200 14859\n11564 46589\n34719 57506\n43760 58448\n5016 60435\n21957 94820\n86296 89853\n41942 64488\n66844 88270\n73114 97450\n2408 23263\n72468 94289\n25330 84696\n19325 41430\n2679 17788\n32158 39145\n15888 80639\n18336 56708\n4653 7128\n27387 49807\n44476 75404\n31072 94167\n48525 80599\n71578 76399\n30461 77779\n63157 97657\n46606 82054\n36734 76053\n9141 29945\n17287 32010\n23882 29746\n53828 85422\n16711 88740\n14865 95453\n66074 86525\n9787 93994\n2795 82105\n10172 23468\n10110 15549\n24025 29382\n28111 58572\n20507 95818\n21155 44700\n7656 72383\n56875 63231\n34401 46075\n6499 10129\n15609 95469\n62103 96673\n36922 71460\n18407 98285\n72576 98636\n30497 36534\n59803 88273\n17298 25224\n79841 93099\n42303 44260\n6408 17578\n59936 92902\n82028 93044\n19044 22525\n34977 54007\n48979 64563\n64803 93683\n45286 59280\n39161 89352\n1905 26536\n55136 87279\n41995 92493\n12297 41298\n56818 81455\n38216 53134\n26330 83314\n30988 39082\n91781 93612\n8015 38263\n50010 69035\n39614 45912\n33734 87466\n67565 73873\n15735 97903\n23393 79438\n18472 34843\n29079 59308\n18566 68531\n67851 73907\n43625 60647\n5309 26066\n9894 97502\n42718 58369\n73707 91330\n51666 77739\n14612 19075\n8652 31342\n37297 51272\n18915 96893\n45448 93597\n71889 81000\n50937 52746\n21307 93446\n19309 98629\n28216 61642\n66200 72795\n34918 86694\n74141 80476\n12172 91034\n16341 61123\n12925 76787\n1496 47906\n5980 26923\n6083 34425\n15169 72187\n49359 85544\n13607 19789\n67007 90510\n12841 44280\n22233 65818\n66492 86774\n55256 77664\n55195 61078\n29375 52917\n2469 93561\n752 50664\n38765 46317\n21826 39409\n43394 80591\n440 26684\n71223 95415\n55422 56758\n12389 21480\n56296 69676\n86254 92197\n4480 28501\n48596 80879\n12648 54973\n43663 81921\n43846 53442\n20847 94356\n35818 52278\n59965 67703\n61243 85723\n51963 52225\n10206 53663\n1151 74875\n57821 80324\n10103 64792\n7085 71236\n7846 68473\n48998 59938\n24768 56389\n38201 43078\n13774 94931\n39828 88042\n9781 94124\n25266 36005\n12339 42066\n20561 92456\n38613 48853\n15079 35309\n32445 81858\n6267 91172\n8739 79568\n22654 38836\n11228 29840\n76346 83586\n25272 49193\n62681 77687\n69686 75956\n7756 14989\n20070 60465\n58044 88638\n24072 29135\n26522 83144\n17823 59278\n36325 59111\n71237 75029\n92255 95948\n33535 47410\n58824 65762\n33784 44094\n46882 77841\n16818 42880\n42236 70207\n73008 96961\n48847 82068\n33258 55787\n77 78459\n15660 71177\n1709 8086\n76768 87159\n32496 45851\n94081 97385\n56981 71095\n7668 25308\n26423 46535\n56504 77246\n10231 69280\n71672 88148\n16422 68088\n31582 64166\n48377 59064\n51301 59092\n64060 71576\n42744 75204\n46149 72684\n44979 87151\n29388 36040\n23974 99611\n52455 63465\n20799 88356\n28436 99396\n46649 68984\n9296 85416\n22723 97948\n6549 88346\n17139 79393\n33327 64114\n17081 58914\n48959 81212\n31072 67703\n78468 99642\n18448 93899\n61079 93160\n9749 56326\n43626 78009\n5382 92470\n11614 99697\n12166 21818\n15312 79504\n16976 17050\n75903 87238\n34365 80513\n3503 57006\n56200 84359\n24379 75004\n40702 51945\n3669 33037\n42060 81296\n39374 87942\n21194 52157\n68032 73244\n15672 16971\n19712 52282\n73358 78020\n36551 45857\n22372 33246\n20856 27273\n47640 69485\n52075 85449\n34230 37136\n13413 99591\n32509 35891\n20842 74816\n67397 73619\n10886 15703\n25009 32530\n49003 67655\n35473 89072\n38575 55438\n18324 86876\n67251 75907\n96817 98906\n57688 78295\n18129 36728\n69666 81632\n44 9939\n3928 70589\n4834 99628\n66775 94412\n51113 69452\n28095 62676\n2910 42626\n16355 99118\n5968 22260\n53183 64089\n47478 87203\n70535 80921\n15646 84419\n48980 59588\n21325 76365\n58132 58630\n4754 19907\n23417 72351\n19018 91327\n38446 51834\n33815 46142\n91444 94738\n17886 61255\n63063 85473\n50958 57747\n9887 51608\n1294 69515\n48578 96247\n19703 35997\n16865 27950\n10994 75197\n12797 27456\n29244 48066\n590 35025\n68939 76122\n109 20871\n36823 99243\n27735 92989\n2402 53584\n22471 30876\n15347 47286\n3827 54653\n23205 98151\n54473 92153\n10045 48071\n66095 75593\n90459 90893\n59574 72416\n14137 37701\n49634 63475\n53414 58226\n27833 59817\n68236 73265\n3098 87295\n33214 87567\n15487 29163\n54200 59622\n33590 81220\n23897 75529\n22133 60858\n19940 51092\n86137 97646\n8648 26287\n5199 31712\n24837 99022\n29079 64871\n90294 98802\n40613 70652\n4123 95247\n64721 94086\n47335 57920\n42637 66251\n68621 92113\n28402 64508\n26246 96334\n4610 49250\n52133 81326\n5512 60229\n4122 85300\n9739 60356\n32 69771\n24204 90324\n30922 55439\n13333 14463\n8871 77119\n58053 92186\n3971 47618\n11516 57072\n37999 99858\n11557 72317\n16605 36845\n2855 90020\n68446 96535\n91082 95996\n79894 83029\n55036 84952\n22050 39992\n74534 95508\n42773 87052\n33990 69660\n59399 69541\n20170 63136\n50490 63163\n62633 85810\n10083 72423\n184 70293\n4076 85373\n16870 67320\n47052 70456\n52771 84650\n2129 41719\n6566 47206\n54861 85982\n52560 57263\n36624 75083\n71083 91589\n33440 63679\n3047 91274\n1515 14042\n31192 89105\n30128 95069\n10994 82980\n29431 46286\n82066 96997\n8518 38315\n46713 64472\n21505 31549\n3115 8096\n7058 56208\n59124 96532\n17731 20685\n767 28126\n18052 27910\n20068 50902\n11516 65802\n49074 75678\n84720 89901\n9343 22297\n63562 85152\n12484 73985\n92391 98615\n41066 73586\n32536 35157\n5753 21374\n22106 47075\n21822 32515\n47002 56213\n11248 19225\n78168 89641\n53568 53704\n64497 86639\n35106 48653\n62460 70161\n46323 70675\n19070 81518\n35837 75955\n39655 68115\n70496 81464\n36669 45453\n20690 82681\n37726 94394\n8167 20779\n48522 51306\n58626 84679\n70777 84004\n15947 48335\n16377 27494\n46282 80388\n24249 58510\n57756 79572\n46977 58471\n15062 21027\n15333 93942\n5838 34489\n9016 67326\n10691 48790\n27926 71489\n53082 81106\n60863 87089\n54255 88577\n32776 74572\n21559 99523\n44404 75740\n19019 27420\n34291 95643\n24712 41649\n28950 63427\n70589 72780\n6461 35582\n44626 60444\n40126 42784\n78362 89551\n12899 82284\n29320 57860\n39038 72483\n14075 78289\n41924 85455\n21617 93551\n74030 98132\n6604 57080\n26347 83291\n15943 66289\n20490 58692\n27444 68977\n43684 63248\n4645 50641\n5016 25149\n11923 23276\n13919 44562\n48439 87449\n3912 98938\n28355 67654\n36742 71056\n6512 35063\n83141 89721\n78253 98698\n74110 97973\n64831 79899\n15459 41466\n35523 92918\n92531 95133\n14256 90437\n32337 52575\n22251 75256\n9483 17091\n58322 78059\n46921 97194\n53454 87432\n27990 65264\n39129 62601\n24731 41924\n10424 20565\n32628 58330\n32297 51158\n32649 67332\n24885 43878\n41960 57213\n14285 45962\n43236 75221\n11837 55656\n52398 57670\n2414 86524\n11561 76205\n10706 67922\n53532 82857\n31705 79846\n36239 90273\n9645 40214\n28792 84585\n17307 23041\n88853 98343\n54127 94083\n57703 59456\n28874 47523\n39889 41410\n31268 83375\n8085 24574\n25035 40715\n17717 87055\n56314 77695\n60570 80389\n14394 40751\n16860 56237\n41066 75786\n623 20901\n44687 55297\n27445 89548\n49672 72599\n17148 17956\n6043 41691\n12195 87449\n61936 72592\n51218 85070\n42302 90719\n58623 85413\n38688 79705\n37181 81528\n71435 73890\n28568 38593\n5697 85492\n73629 78485\n70383 93798\n10857 76172\n3744 47387\n71087 96924\n64644 81560\n11246 62489\n10152 98240\n4410 92985\n29304 65013\n96054 99052\n45623 71993\n58272 63886\n35217 35543\n26843 92394\n82880 93910\n3838 9013\n45119 61370\n11474 91582\n35848 69519\n3617 37843\n15451 59924\n6259 39031\n18265 98425\n10348 53624\n65935 73792\n52469 66463\n23191 25594\n11013 59846\n25623 80538\n15190 96169\n9503 39861\n23200 43554\n67139 79214\n9148 85655\n36513 56663\n10230 92518\n23114 51904\n44109 49468\n61682 65942\n10656 10804\n59462 66981\n49286 82868\n50503 98741\n45512 93450\n66562 73971\n26733 52832\n6027 19086\n6048 42368\n52917 73794\n44592 44919\n10673 74780\n4840 5202\n9835 78730\n7538 77274\n11401 81582\n23498 55571\n27882 80669\n17361 95334\n90409 94873\n25210 27805\n67266 85965\n7335 70187\n12295 50700\n22436 54544\n50257 82622\n71922 73637\n15466 78586\n25444 34080\n29400 64712\n5529 46446\n38508 70369\n72420 96872\n37483 91190\n68137 69464\n27659 63113\n42997 88048\n45926 99908\n17645 69444\n13739 93965\n21600 89888\n61556 72305\n11531 95098\n65968 82644\n53565 86073\n7877 47247\n7803 80927\n66745 75612\n7461 47005\n51454 71481\n54399 81107\n69237 86337\n36878 53677\n45747 85330\n55273 72054\n69147 93768\n11853 19674\n49573 55314\n21112 53945\n17963 58453\n66362 91246\n54906 79492\n29172 41521\n31505 45770\n34951 42934\n19087 83645\n80751 97384\n37759 62721\n35217 88502\n24645 55255\n56738 83869\n8416 39555\n19579 95012\n2638 14379\n30020 31067\n11522 60978\n13484 42372\n26440 83283\n67363 97530\n36085 56763\n15843 33570\n30156 31036\n13946 34539\n2860 12662\n16820 40200\n31026 44769\n36994 63701\n20449 86499\n70193 74656\n9997 18920\n39309 95708\n55098 58257\n72991 86788\n2000 45509\n61841 77256\n19173 77604\n16811 87930\n11433 94196\n14582 63003\n9213 74337\n55060 70696\n22117 52694\n34973 92485\n37329 37971\n31330 75283\n39796 85820\n71413 98717\n24640 78382\n34122 60286\n20867 33589\n29637 51013\n12402 17155\n25522 82381\n16125 79621\n58757 74508\n27902 93983\n51415 98416\n48942 93008\n4259 8529\n7444 63683\n4442 36665\n2247 6521\n13835 30951\n38007 54554\n26246 77990\n23371 39374\n92562 92658\n32657 81996\n38773 49912\n3442 95883\n17615 34015\n24928 45032\n17382 49696\n17835 23920\n5947 67438\n41568 70079\n57300 75632\n29709 57329\n7550 20702\n21406 51821\n23877 82638\n1443 98909\n21482 28111\n42270 87235\n31929 48035\n7212 52323\n3109 30207\n81572 93483\n14447 31180\n31975 50761\n24966 47292\n62098 81396\n62176 81559\n38711 84681\n20761 74517\n16511 54120\n22908 68482\n3566 66559\n24624 53005\n13150 70585\n2153 83141\n19772 31947\n46304 71983\n4664 17420\n25915 66294\n23983 78943\n14435 56692\n47903 93718\n75502 75607\n24468 42895\n48301 82318\n43310 74925\n16955 47951\n19797 37338\n35925 66215\n13772 62510\n26745 54681\n30083 46416\n27478 36946\n48715 73428\n79980 89725\n70063 76556\n30764 55721\n28937 63425\n52416 81496\n40908 51677\n41351 82350\n68532 75150\n30928 33414\n21524 82134\n60039 75996\n2067 95455\n33670 89473\n49320 69239\n837 16576\n1361 50415\n30916 63004\n37783 74495\n54146 97705\n66264 97127\n47750 53408\n94632 95420\n66693 72799\n39039 73667\n24409 77769\n32654 82762\n36938 88342\n19818 48314\n13641 47939\n41210 60701\n14547 22665\n26934 70544\n6519 55881\n7930 58344\n29335 96602\n27498 52539\n36973 92006\n31731 48618\n65856 87622\n67313 84650\n268 78647\n51471 53457\n31477 93558\n2384 88263\n35185 41748\n7444 43575\n22017 63117\n18357 52416\n14839 56446\n63468 82149\n48913 72263\n33622 99497\n59384 60536\n44077 90324\n29640 49625\n20470 31876\n42804 78536\n44073 77134\n59695 81134\n9941 19642\n29381 81891\n62007 81069\n55193 57527\n37354 44040\n55649 64971\n51028 56138\n14449 21672\n50806 99140\n13515 87503\n31841 35583\n3663 42074\n18991 43333\n28923 92681\n12105 14590\n6937 30539\n257 86475\n71992 97115\n11256 49608\n18955 54969\n36439 42132\n66435 93162\n12410 61451\n8875 11316\n4496 71310\n46361 99992\n30878 93967\n56872 63408\n28025 37219\n23339 26995\n69795 90025\n32603 80812\n10487 32255\n24127 47544\n37052 56497\n14687 78084\n48651 59155\n6919 94662\n8735 73707\n84651 85386\n58794 73158\n5382 92137\n80936 92749\n49183 72369\n2246 48066\n32017 55092\n34939 82055\n59387 71733\n7149 34197\n29084 43552\n38542 51481\n28919 67765\n5615 29910\n25974 38312\n45073 89319\n11117 82584\n16987 59357\n1976 45286\n88077 90093\n34708 66715\n55827 65029\n18531 70175\n50348 71055\n59310 95239\n1977 17168\n40734 60693\n19260 33811\n27321 62283\n16505 57702\n33091 73107\n7056 40987\n67313 78565\n23012 88475\n29351 98496\n67663 70220\n2068 41605\n16071 71315\n33393 78232\n5619 23092\n1864 20653\n9001 53613\n20389 71538\n8423 73369\n1044 33792\n30424 67540\n18206 33093\n2142 78204\n16395 52350\n29773 41469\n50501 92502\n19302 40684\n365 96155\n8520 55565\n81091 94776\n16365 68783\n54313 75589\n34848 98907\n4143 62638\n15122 46150\n58195 97797\n58702 62831\n77465 79293\n31463 56825\n14849 47836\n37017 53989\n71156 98210\n37674 92924\n22641 74033\n9092 96733\n751 28544\n24080 77328\n8560 41055\n63129 69964\n29401 72913\n40029 86869\n72082 91820\n31713 45262\n538 56605\n28720 57513\n25007 52487\n9142 27809\n32792 69575\n14658 81599\n40289 42536\n16558 46484\n14598 96993\n72475 98710\n10279 42572\n63341 75816\n40597 74600\n33225 67513\n75325 83119\n44498 82736\n68401 99264\n14882 38356\n18826 47290\n11412 38365\n66607 91400\n59146 75925\n41676 42186\n22716 23570\n46199 65609\n33803 79230\n89249 90155\n70136 98372\n51697 52052\n27182 30878\n39485 64479\n83402 93119\n46483 62921\n45167 98721\n28371 29264\n16316 97675\n6549 87761\n23415 65251\n93180 98219\n19732 60231\n35373 80155\n31108 71807\n47161 61729\n21831 90769\n17105 75091\n3985 56354\n61512 63706\n14204 79250\n60 80224\n87648 98999\n63090 78018\n25774 89410\n2271 59573\n24625 92820\n71401 73086\n23168 62811\n52385 93763\n5242 85731\n46282 64528\n18101 53943\n24368 29849\n65125 70726\n11370 56417\n43925 50144\n7913 96283\n49694 74751\n53592 76784\n11396 86576\n30818 98866\n40951 47226\n21817 91793\n10315 34254\n1319 4157\n15333 90981\n38235 57357\n75130 82809\n23521 44853\n21237 24270\n68387 92501\n844 47770\n74672 98933\n12590 96726\n12836 58992\n9064 40583\n538 69519\n64173 96812\n65177 88150\n10989 95726\n46426 55365\n17920 45240\n19191 76073\n24796 81386\n10437 37115\n73403 84065\n5685 8480\n79747 99269\n62652 96417\n10842 46552\n62470 82642\n23390 69378\n4434 10186\n28153 62267\n12892 57325\n28399 82384\n10249 17539\n96621 97847\n59562 68000\n68534 84226\n47507 81218\n26550 80244\n19287 21822\n39374 53414\n42764 69955\n71783 81838\n40394 43856\n25478 64673\n42000 97145\n28278 52066\n62046 69110\n7381 12119\n45290 96536\n7575 66075\n30674 80121\n275 50033\n22697 38133\n59569 75916\n821 50419\n41634 60023\n48726 60421\n45100 50639\n21013 62905\n42937 93226\n23767 87512\n12667 18384\n47850 53518\n16988 59379\n77056 88449\n36025 83715\n21330 70099\n36141 53947\n23864 52774\n38463 61834\n41350 64834\n9758 27275\n12450 15485\n39203 50564\n43652 92383\n10475 54021\n27028 50731\n22577 83839\n2624 65602\n12252 76781\n33259 72990\n74644 94190\n54987 62083\n2199 91254\n63698 96428\n787 5466\n50250 98399\n15623 46900\n25098 89906\n19166 55434\n38610 58239\n11719 79254\n72073 92683\n37214 49650\n37137 96048\n32390 58436\n6679 60574\n43981 66184\n15647 82487\n365 73329\n45616 45785\n22723 42739\n31448 63436\n7492 72469\n4179 15461\n8160 28731\n1871 21865\n23194 49536\n55833 93540\n55404 66408\n17997 70576\n45446 62425\n56986 64824\n55663 83000\n8419 41174\n32531 33022\n48383 93957\n76633 87892\n9915 76258\n51203 94705\n23330 99675\n21279 77987\n27438 38397\n48084 63822\n41655 86677\n17143 25328\n61158 76597\n9467 88250\n58415 86104\n4114 65954\n20395 26229\n8487 79257\n73545 81004\n48405 66469\n9741 86225\n19509 37755\n77218 96085\n49034 79888\n24551 82432\n29088 64678\n12330 57023\n14096 19603\n72280 80167\n6068 12069\n58828 66377\n72554 80615\n24322 29572\n7400 54977\n7475 64678\n50925 61377\n83217 97552\n45787 97531\n162 46602\n29818 83741\n16937 44706\n27861 77915\n4087 57678\n9548 74614\n315 99813\n19077 92126\n55806 88585\n64621 86560\n292 13378\n14238 61811\n20718 47831\n26411 46610\n36410 80019\n1795 95630\n15699 24147\n33339 87363\n10145 80214\n54330 71067\n52860 94727\n60865 81196\n48191 68119\n4889 90532\n3214 39094\n1481 78470\n22661 67309\n24467 55213\n23454 65257\n32005 68599\n199 67479\n2414 28511\n22768 76103\n15905 32666\n3558 73288\n57762 94588\n6111 77320\n10819 81823\n29123 42158\n28039 37667\n35999 70962\n51323 78575\n28953 84927\n29095 60136\n57210 65345\n12560 58093\n61982 63630\n12452 33074\n59918 78558\n47294 85749\n29978 85269\n29609 82432\n27062 77635\n12793 18041\n10423 48628\n7206 7336\n53582 72649\n35872 93001\n18644 63605\n65037 83357\n50444 61485\n30461 32646\n14082 96287\n7620 85425\n41957 70877\n28626 73514\n23333 51443\n93367 96483\n71022 81144\n56648 89017\n40109 50898\n76572 97926\n35693 90333\n49066 76795\n38144 47105\n433 50608\n8621 19426\n66689 87938\n8512 88884\n31718 93246\n57250 68843\n95184 99385\n26700 29864\n1420 41905\n56035 60242\n56884 74260\n5411 43495\n61977 92125\n23371 97078\n43659 69377\n23073 58731\n30513 63207\n3794 36172\n1614 2098\n63135 67765\n5245 24817\n6527 63360\n54774 68034\n21462 67034\n24560 44697\n38572 49455\n12089 97779\n16877 16992\n49671 77990\n4187 73054\n64788 69945\n69875 76218\n30270 41671\n86284 87800\n35622 72286\n26420 64595\n15846 56935\n17815 30917\n5616 5818\n23030 28647\n13679 93127\n41219 59573\n81572 82154\n29081 89752\n8724 83433\n39296 69315\n62271 85520\n37865 53340\n17549 72615\n58570 78673\n32009 81328\n12982 75372\n22384 43482\n73725 87599\n37081 39732\n14448 24964\n61523 67949\n6223 34339\n13338 82859\n60172 90648\n44517 48042\n28913 35467\n16491 27700\n42906 76912\n30782 71781\n38084 44386\n38819 49829\n46383 49800\n632 7223\n32363 33512\n37746 62438\n14316 25944\n122 25053\n39573 64518\n55584 79677\n68750 82604\n29248 51011\n59697 71215\n75676 94632\n4124 51758\n64972 67626\n15366 62263\n4849 15397\n61512 70786\n25516 36267\n50362 78006\n24420 60142\n9248 54072\n4426 98483\n19037 56650\n68445 72496\n36157 92528\n30369 51450\n37175 43329\n65892 71754\n42844 51238\n45924 83198\n21602 80192\n19200 94359\n7013 26956\n48253 80080\n12766 42067\n13575 34245\n72503 79201\n4962 56891\n14242 70002\n14792 76482\n33751 95962\n52132 68449\n17498 76445\n5965 90917\n36279 97698\n5924 75008\n2310 60410\n71732 94844\n38636 70852\n13945 80768\n16841 86799\n16157 62637\n48136 55770\n39752 76328\n44247 56960\n34172 82683\n17047 92091\n90614 99996\n11342 22399\n45695 94322\n23843 31602\n228 31606\n32336 35439\n39702 57587\n46319 97150\n14402 60197\n23229 64403\n3887 70740\n48138 98482\n18372 85480\n11156 42328\n20853 73060\n87982 92671\n80491 81941\n78950 81591\n73920 99879\n2696 21884\n38582 62546\n33858 81411\n45733 51670\n54708 66533\n37195 85827\n64410 85302\n55670 59449\n62088 97901\n88111 97722\n68802 71387\n29200 30463\n40906 43337\n48777 79361\n27041 96514\n1490 64334\n94779 94862\n6381 42178\n26476 32071\n39414 48669\n71286 88550\n12906 67422\n29891 70637\n13406 96831\n37276 85410\n37137 89328\n18893 33038\n51531 79050\n28771 98029\n54384 54891\n81860 93651\n23315 81974\n7223 74022\n2071 83591\n62317 76677\n58317 90885\n3586 70270\n70425 95131\n45234 75324\n10683 24514\n39564 62266\n25771 90682\n26287 74855\n1260 25996\n302 59670\n39382 95909\n40708 43086\n49848 92711\n14826 45931\n3542 46482\n40548 62547\n15137 29869\n30441 64923\n73555 78776\n18300 74945\n18201 48592\n14189 23483\n14785 67507\n429 93333\n38241 38570\n6478 98177\n4221 35156\n848 8513\n43342 55176\n70468 92763\n51842 92120\n22897 37696\n12932 76330\n37844 51610\n49014 59313\n95364 97813\n41401 65361\n6348 41914\n63945 74317\n2289 40721\n51520 99814\n31965 59604\n61789 80816\n15791 31863\n41116 58381\n251 87824\n12360 76496\n20299 42467\n3284 64534\n1898 47086\n3477 51735\n51971 52223\n44918 62298\n26900 72163\n4222 42072\n10684 99103\n11281 86477\n65345 75687\n74958 81391\n45758 56682\n84806 92263\n54684 96716\n9487 79034\n46671 86076\n5622 40511\n24943 99644\n16542 56880\n38500 71833\n23813 61859\n52275 91757\n64371 78474\n28508 60845\n5708 64272\n29203 32329\n32808 89863\n42513 63291\n69194 90264\n67039 85542\n78263 91552\n11243 34899\n57406 80622\n40477 59874\n44203 45993\n30378 80603\n3734 19810\n181 1366\n14687 17272\n8595 11605\n84325 85071\n44202 61622\n3540 79753\n74863 86465\n3323 45498\n2163 21385\n3460 32669\n28695 49729\n55794 79134\n54614 79346\n59043 84307\n5461 75941\n41718 58792\n19438 42480\n71529 77998\n46831 63504\n38450 87335\n36209 36332\n74664 91409\n5049 14406\n16005 84196\n2644 75238\n23033 71682\n14138 87714\n96149 97540\n9400 54020\n43061 64818\n66446 90131\n28387 89360\n69556 86166\n12385 17140\n66882 77175\n7974 35950\n17292 72316\n6669 29565\n91162 98547\n42417 66073\n9393 90991\n8464 71212\n50459 82383\n6226 47620\n19276 43312\n3157 40821\n4102 22091\n49958 96727\n49567 90609\n36987 49214\n22561 61151\n33017 91871\n78070 86750\n14322 74829\n5726 49473\n5129 94019\n24719 88139\n5757 44506\n59629 82240\n47402 58595\n62837 98554\n40962 65557\n55474 88232\n7419 47961\n31951 85151\n3969 56557\n49572 49937\n92554 98472\n9572 78478\n40388 56642\n21293 52927\n82081 97813\n84644 85469\n66999 72622\n52080 75617\n36511 68061\n62754 91697\n47705 51068\n33280 43326\n41116 61301\n23452 48035\n8372 30252\n71861 81072\n18334 77326\n43642 78819\n20299 98699\n85095 85222\n23561 56274\n34887 68742\n13741 73333\n56091 98530\n22218 24791\n67140 94102\n13904 87886\n2130 20272\n32308 35441\n556 83264\n10758 65751\n4279 78255\n24997 74284\n46563 84013\n34524 38415\n25841 64209\n25270 68413\n1819 86531\n14792 62373\n90058 93534\n5001 46817\n47845 92969\n42209 91054\n15651 97085\n65297 76845\n29097 75862\n20198 59377\n27524 60789\n25094 54915\n30712 61180\n68076 90186\n16960 87511\n51845 90267\n11232 31039\n12655 59308\n11046 16381\n1204 5051\n71103 79040\n44806 80384\n65536 95478\n10500 52464\n8989 47768\n3854 49495\n1715 51260\n76341 95307\n65447 97577\n46918 88572\n32489 44392\n7900 9591\n21630 29374\n41620 83357\n12366 71308\n62793 93636\n22630 43189\n15680 76914\n18088 52382\n10987 89334\n16356 61654\n17800 21891\n75401 80700\n10481 30043\n62538 97935\n32886 57264\n37472 76316\n19480 85090\n51869 65705\n65929 69465\n39011 49724\n68713 68770\n36877 59128\n35087 44822\n57817 81008\n28510 64642\n21006 99068\n8770 92571\n18012 91551\n85526 96338\n61184 91232\n2803 86333\n16104 89799\n10944 62943\n12815 41314\n66087 69051\n75594 84186\n13314 75030\n14857 48892\n70507 89640\n9044 97730\n32501 86951\n37422 37933\n18552 67720\n67769 86925\n17148 22439\n34548 87623\n25722 53923\n5621 92706\n32158 65533\n13567 35932\n251 39773\n78950 80405\n60979 88094\n79885 99010\n35384 35965\n19899 93315\n67645 74801\n72515 85830\n3918 51703\n34606 52745\n23815 33938\n29011 83399\n70546 79528\n42817 46698\n52469 83441\n32782 82419\n47631 61743\n26998 63876\n34378 48844\n76048 79278\n37432 60851\n26561 91904\n39703 63097\n59158 72404\n5075 52324\n14970 48005\n2187 47350\n20485 37394\n18392 95900\n41399 96189\n31594 56449\n2398 73330\n27 33691\n21886 27439\n28381 78470\n13197 55145\n57146 62270\n8230 40454\n32529 87133\n35003 39791\n2938 58268\n25112 72000\n9196 50356\n3731 58926\n68297 84211\n44304 79571\n65233 97795\n4101 84487\n288 49507\n18678 33027\n8307 86036\n11006 88868\n89407 89903\n10188 86420\n74149 92330\n74667 81834\n39911 51857\n56466 86163\n61874 94154\n7495 44467\n42672 44207\n8620 56395\n62529 65410\n65130 87521\n6842 30569\n67724 68481\n18808 88096\n86121 96944\n42366 78362\n68472 74127\n34403 78636\n1197 95282\n18666 55543\n43166 68935\n7351 48516\n57583 95207\n7922 84958\n74218 92934\n21538 80562\n32449 38401\n29008 76810\n308 38528\n31674 33195\n23457 26420\n12583 19637\n8552 93880\n88260 97147\n58571 69160\n50169 84190\n43893 57589\n32231 38161\n46570 59273\n63680 68835\n32910 95090\n11397 27939\n49484 87340\n5907 62170\n56079 74892\n77770 93825\n62514 76299\n3681 26989\n76358 83081\n41717 52200\n39927 44906\n9293 85766\n13930 63972\n50676 74105\n4199 64149\n32902 93565\n39413 84631\n28975 90782\n72156 77756\n38372 40104\n26200 34893\n436 82254\n25156 65273\n17189 17460\n88463 90502\n4148 81898\n1901 15112\n52672 55782\n282 24601\n48701 93282\n42171 67321\n16422 77708\n13224 28458\n50617 75811\n74039 88521\n7995 85917\n11990 78632\n80144 99409\n18471 32968\n76270 97267\n859 90976\n30087 70070\n37006 41975\n31842 32738\n24215 69333\n54443 60042\n87063 88583\n987 50279\n64324 93620\n7375 74719\n16724 20402\n31358 32624\n13870 50013\n65449 73691\n9098 24441\n4816 13254\n66494 78564\n27797 54271\n18626 78678\n44582 72026\n71917 75790\n2153 2964\n61759 70936\n65323 67856\n11876 26303\n62240 68584\n1405 6915\n558 73638\n40076 88108\n50899 57835\n19547 53816\n2895 31972\n65356 88647\n50626 92599\n52392 60921\n1864 80415\n91404 92153\n27155 41172\n21268 92750\n12038 96396\n29689 73524\n63388 72940\n49114 63656\n22393 28200\n42992 58470\n34827 68399\n1477 51024\n1784 64610\n18490 88648\n32649 85738\n25417 58891\n6063 8776\n38267 88868\n72976 93171\n34980 83800\n46205 98343\n23907 45257\n48999 99951\n57307 88428\n53651 54402\n42943 87198\n23865 70199\n22141 62462\n50455 51221\n15816 54084\n1042 56646\n1381 72128\n41124 57670\n19199 39235\n61729 73795\n390 36085\n4933 91008\n36182 67379\n40117 49763\n13555 66960\n9384 43591\n39497 78562\n27930 97224\n32119 42030\n61252 69173\n78570 91702\n92128 94906\n64410 68730\n6478 80721\n17652 53220\n75203 90916\n12563 14178\n16635 44501\n31726 63798\n7499 38350\n2273 60683\n29616 36382\n32602 38184\n67762 70526\n51569 86722\n63844 71033\n5434 6248\n5718 11154\n25232 98654\n34842 84464\n1372 11143\n17079 80834\n59217 71485\n66432 79059\n8696 83444\n25600 59042\n2428 52508\n14281 96619\n35228 84738\n2343 35239\n46194 67896\n52211 79208\n6591 21646\n51109 66701\n23921 36041\n7517 62938\n44061 89459\n28218 60340\n4970 64205\n56807 76522\n7974 80839\n53209 99877\n54487 61352\n17185 24415\n26266 73189\n9749 87212\n26639 59994\n14409 23360\n17822 50985\n84462 91259\n62190 73234\n43343 80280\n31301 39033\n54991 65594\n44462 86258\n13330 91445\n32268 51817\n40035 41570\n3357 24143\n53104 82431\n77100 80114\n1828 71986\n63887 76191\n18523 42323\n40735 49859\n46703 70018\n8381 66330\n795 3843\n18913 54899\n11191 49016\n12623 74989\n24552 48669\n40056 43127\n2136 83938\n55249 74183\n2758 39893\n18258 39337\n77014 93804\n3657 50002\n36038 84151\n10886 92775\n18183 55214\n27299 77992\n30169 48517\n28081 51059\n62117 84619\n13011 75793\n39294 44962\n38252 49790\n40875 64661\n15058 23654\n8774 96462\n74488 84962\n34955 52841\n30899 38734\n1742 94593\n13587 52293\n48748 66024\n27443 76395\n36033 68032\n14761 57706\n55404 96953\n56884 72416\n37806 51969\n26724 42242\n83984 94557\n8221 22020\n63309 99625\n38995 47304\n23147 53693\n9056 71095\n7197 90490\n44953 81495\n50968 62252\n36579 86852\n23750 47162\n81650 93192\n39870 95948\n65290 77819\n33545 93266\n12537 22418\n22896 31110\n47776 63285\n30971 57477\n60848 74195\n67681 73416\n9373 32607\n10902 97199\n1584 56366\n42832 70406\n61521 99263\n24972 72200\n33286 86138\n11045 12761\n58989 83521\n19335 28722\n44308 99992\n35421 49589\n41078 65960\n18981 86271\n8896 98251\n10752 36704\n1141 16714\n18246 59647\n31745 46207\n19030 19301\n7859 20004\n2752 8828\n51737 72750\n49497 90169\n54937 63130\n33270 70631\n60236 82707\n43566 56508\n24624 76696\n20509 93414\n70655 77758\n1195 25736\n75206 80592\n12878 42976\n17331 67447\n48021 60177\n42980 62286\n24764 93771\n28066 59562\n15579 77537\n22372 76357\n96203 99678\n28050 53914\n37828 77418\n19775 47068\n32921 70630\n66955 72867\n5141 28188\n38244 95496\n56134 67340\n34867 66849\n23235 43926\n19137 28249\n1888 93020\n49383 77178\n11847 74838\n9366 90776\n69616 73321\n38918 79462\n9539 42346\n27422 50277\n54794 85664\n90801 95010\n12944 13195\n39227 55367\n49891 71482\n24044 47106\n34005 73577\n57251 88273\n16297 42032\n826 70961\n24390 37481\n70069 84121\n35442 77129\n71622 93364\n42347 74221\n28204 45968\n9833 34203\n53874 87169\n27743 99353\n17050 92743\n17827 50331\n91749 95629\n31598 46618\n55424 87290\n36573 55351\n23081 84699\n4455 49604\n35240 42008\n42220 51678\n19200 96414\n53680 99042\n80943 81962\n29622 96881\n50574 50774\n25469 79508\n52570 68621\n65126 82497\n32563 32916\n5298 40402\n41366 80880\n21792 29881\n2240 23428\n20820 29639\n69853 75860\n9142 99067\n2773 22225\n46720 51393\n25787 90120\n89036 90195\n28404 95732\n11567 60517\n72661 73173\n9912 53021\n56635 69323\n22180 34966\n30345 47150\n22147 86111\n25685 50774\n28784 69026\n1316 91108\n24974 98912\n37231 95598\n1223 91580\n27488 43644\n15286 61992\n40594 50493\n8605 56597\n16840 78573\n26495 92133\n64928 72972\n19730 31765\n51680 66708\n11830 74515\n92600 95466\n14465 95943\n21411 54879\n10163 60088\n31543 43470\n51500 95125\n22101 23776\n8416 67612\n512 93701\n47164 72132\n54355 84179\n45675 47973\n34128 95696\n56877 87830\n25817 71636\n23157 84119\n74099 98298\n78962 93998\n45810 46337\n44680 47577\n19244 35469\n76129 99519\n59481 79794\n75411 84436\n49337 59046\n30145 80591\n5715 90469\n58344 79353\n20203 99112\n9970 33256\n11588 44601\n13215 40413\n26942 62611\n54835 70161\n41062 97476\n66817 91721\n2625 59218\n52668 57827\n32035 43450\n20709 53144\n34438 65388\n40452 90575\n37074 44878\n64585 99848\n16982 35786\n42502 60372\n50328 98524\n45522 73442\n20198 24994\n54394 69487\n66869 73911\n22166 28526\n30782 58144\n32245 79730\n11428 77007\n28265 47811\n28581 40962\n71037 75799\n50450 59789\n26487 85092\n60802 65010\n8418 98099\n31361 75332\n10116 58259\n12336 13804\n50702 54677\n50636 81488\n28070 65668\n20296 60789\n46670 68563\n31011 89461\n46687 99744\n62847 65044\n47603 82414\n45999 63659\n8043 73664\n24415 44212\n54680 69020\n2824 80388\n80875 87935\n2508 6570\n85715 90171\n21514 34368\n52765 55580\n6172 67553\n6001 34048\n39784 89308\n33604 78036\n64438 82957\n25560 50611\n18228 65956\n62226 65452\n63649 87335\n6260 72110\n15524 43769\n6027 71288\n61899 93157\n77912 91262\n64936 75256\n25240 47431\n19706 94805\n60565 97039\n35470 96321\n38936 49507\n31497 96480\n60867 84759\n33838 60221\n53113 77022\n19788 59557\n25325 94333\n19129 94600\n55637 95098\n32241 37649\n9612 72535\n77473 82829\n76299 83737\n5669 39029\n10708 33197\n56024 70157\n29528 37585\n1893 48794\n64911 82773\n46312 91578\n80064 83495\n14096 32188\n32715 40415\n3396 80369\n24954 68687\n78597 86393\n74492 93268\n54920 86765\n60090 85898\n14042 17284\n78726 80202\n11376 98612\n4069 74080\n66726 86366\n9150 24508\n60576 83266\n79601 95333\n62817 84128\n60649 61423\n688 10440\n60322 80965\n51484 97213\n38657 58880\n23370 90465\n7361 79335\n4930 52182\n57039 86446\n24139 98819\n16555 53916\n82872 98926\n26608 68909\n78767 80837\n13868 72239\n14409 86819\n44706 67883\n42033 55827\n1572 72815\n47916 72531\n16258 51342\n27279 47949\n43598 50914\n51872 96769\n35157 79406\n29780 78426\n20864 33739\n1631 49228\n2324 28399\n2636 18449\n43960 58164\n8075 85811\n40859 71938\n47528 72945\n6734 87432\n26929 80997\n8166 87757\n11873 34219\n22709 25446\n43521 82382\n10822 62979\n44748 85784\n2067 3373\n682 77044\n40736 46387\n42643 44439\n36173 59828\n14282 74370\n28623 82051\n66861 84225\n28214 63173\n24611 88528\n46174 53061\n46241 79328\n15233 73385\n33506 35666\n63440 90456\n22080 73182\n65851 79334\n54651 70430\n44918 76508\n73064 90019\n19626 66261\n43961 82829\n68296 96088\n7222 34646\n31914 44054\n51960 63161\n67282 69958\n43696 44762\n43475 51131\n46978 63046\n3616 88287\n53785 54151\n38400 73955\n10344 66070\n75726 76856\n38405 98736\n34602 50669\n35636 40820\n14175 53864\n36005 37602\n30314 33434\n49728 58549\n8608 88646\n44445 59088\n7186 27296\n90090 97907\n49828 68218\n89350 90185\n25711 43732\n7083 29716\n4714 82509\n41259 99750\n22445 99713\n57809 63416\n54229 77244\n54415 55670\n63034 82486\n52289 70676\n67402 88608\n44080 57160\n4635 24736\n37013 95453\n32397 77699\n26283 67172\n39522 53232\n65010 98296\n63155 84673\n69415 94271\n38603 59600\n52452 58081\n4505 90431\n65493 89920\n71259 93099\n2389 16638\n31776 89439\n38225 49777\n23155 90099\n29254 46535\n1518 51440\n15365 61609\n83931 84190\n41488 99454\n31595 82244\n18003 87248\n68089 71646\n28643 83159\n73156 91300\n49602 88110\n2421 57644\n32573 83096\n30553 73989\n1441 66390\n43157 66525\n28210 88456\n65785 91901\n54117 81317\n2860 61084\n16514 69620\n39501 61469\n53240 68436\n7866 31476\n32711 99594\n8129 80149\n73402 78770\n8443 73552\n26189 72350\n19685 95619\n5455 53207\n75824 86746\n38715 83137\n8761 22783\n14053 55475\n19059 24835\n34499 81738\n78594 84287\n49389 82927\n54516 83365\n40816 93579\n36980 92747\n24593 39361\n45128 84826\n1773 93895\n36416 61680\n1098 57337\n42951 82656\n4467 23317\n38815 46725\n38167 53014\n78839 96674\n13079 76667\n35718 94768\n32198 69544\n81134 82263\n10206 92425\n18333 29518\n31303 83775\n14625 56810\n50173 79041\n47592 83801\n9178 22291\n27310 98159\n68900 81821\n7049 85071\n2925 22548\n15540 65263\n24520 44832\n12572 62634\n24120 55699\n40646 60052\n67102 70503\n87735 88247\n7661 58646\n2261 5354\n49322 88066\n7581 69282\n23473 50297\n75475 88220\n22892 72145\n38850 51139\n3457 36430\n33129 87357\n52422 70074\n1571 35790\n48018 52028\n2760 20461\n19297 83506\n33683 67304\n2322 28508\n21520 86253\n72494 74174\n7756 94337\n16008 50772\n27100 41673\n25968 92532\n17903 76222\n15236 29493\n23097 74997\n16806 80402\n13845 52428\n51831 61543\n4953 78848\n29040 82175\n947 80103\n68260 95883\n50206 60403\n53484 87622\n4 79604\n10869 41961\n28222 83760\n14065 20063\n31449 32522\n21761 70713\n34529 55004\n5041 62668\n39492 39573\n12972 62077\n70071 73080\n64417 71060\n5824 41199\n1877 43246\n12396 56468\n21925 77508\n2797 87391\n14940 75935\n7437 28443\n75000 75087\n12236 23144\n6932 60604\n734 35252\n15461 23580\n4858 63012\n27997 95594\n11778 89489\n38003 96425\n69237 86759\n77885 97415\n42813 94133\n5768 41687\n28760 63604\n2192 87362\n65820 92903\n37215 50852\n12622 80106\n57020 74733\n23942 94343\n50371 96057\n69068 72757\n67837 92000\n18992 52054\n48141 49498\n23413 60159\n88323 96801\n54906 64812\n88117 94546\n20962 57441\n23857 27926\n16981 40017\n14047 46989\n56434 60532\n47563 66956\n36992 79090\n56747 56943\n13769 35827\n36075 52649\n40067 91440\n65129 80975\n9474 96726\n8889 84492\n57757 85295\n21226 62155\n655 9104\n10523 98062\n26700 54806\n43955 71695\n61169 75723\n37337 50473\n69300 95411\n39444 72107\n15165 70979\n68089 88292\n9972 73185\n11398 92908\n23206 76968\n43961 53475\n62001 80865\n27411 92952\n21598 92595\n594 41972\n24315 67302\n12666 21664\n1136 83885\n26527 74689\n18755 59897\n68388 84698\n8165 31757\n81487 87304\n9054 41825\n32323 49518\n42471 87074\n60482 94696\n5836 17729\n21262 99095\n13790 39206\n4721 24971\n6584 6750\n7254 42653\n2041 25187\n8491 81665\n10336 44393\n63033 97717\n39382 47323\n61731 94172\n51161 57611\n37827 78720\n6949 20584\n22254 98827\n2209 56386\n72997 89551\n54994 99091\n14447 98977\n11905 74992\n69406 97056\n8023 65642\n86933 92471\n15522 81967\n47831 92710\n42409 53674\n25957 74497\n34905 81757\n5213 52111\n10562 64981\n36092 86778\n10639 43689\n61423 64183\n50639 95459\n15995 44376\n13969 55775\n30737 33346\n27126 70612\n16008 38314\n28915 71319\n30149 60114\n7640 39911\n19997 64099\n21447 82009\n34326 62890\n11019 57064\n33239 88060\n63 23232\n12723 21278\n20770 48662\n19352 40131\n5627 67811\n24410 64067\n33023 49775\n10126 56733\n10991 90642\n18521 68520\n60165 72195\n48289 69797\n13839 70514\n43259 86302\n52771 55681\n12921 64889\n8511 59500\n81459 84956\n35084 58477\n71199 82554\n53887 74176\n19301 32475\n52453 97265\n22981 99982\n7522 95653\n54874 73895\n38818 96123\n3612 76690\n22740 83008\n12684 63633\n52427 87135\n24045 51135\n17397 43589\n21512 45215\n17547 84706\n7192 45609\n70721 90190\n71573 86483\n60505 86866\n59574 95807\n13792 93164\n35226 35418\n9327 36426\n54334 93257\n14783 96662\n67316 91263\n41338 75962\n95681 96454\n33360 35637\n53201 63053\n43705 94569\n86733 92208\n70301 79835\n43137 74425\n68173 70781\n24132 49125\n13643 65613\n6951 39731\n10806 45903\n19742 34687\n25119 37540\n79084 96642\n85713 87724\n65110 95917\n44050 65949\n38792 55413\n46860 78582\n11729 95108\n49730 74377\n1328 53220\n48301 73278\n39469 90673\n34269 63777\n30669 37179\n54198 89961\n55208 59031\n38295 80856\n16396 59479\n126 70044\n14102 51094\n21118 21240\n24041 84114\n33046 41335\n13878 89115\n4747 16102\n20133 25061\n29224 63374\n6211 72431\n17222 97239\n54814 99458\n21447 77787\n77544 86114\n58068 67810\n14217 48238\n44485 67791\n40967 89313\n18776 87142\n37168 85731\n29718 52574\n47513 77829\n6501 25464\n31347 43831\n29127 71928\n20112 41159\n12829 70699\n20638 62622\n21923 90795\n56377 71067\n68414 94975\n25009 76982\n38850 84227\n12200 43260\n16772 55864\n9297 22980\n11629 11695\n50916 70598\n43866 48997\n51595 98260\n55558 98425\n83743 87123\n10009 19340\n10396 69037\n9863 84588\n12263 42367\n8035 92382\n33067 91002\n6594 40853\n50682 59422\n4035 53052\n3551 65736\n6664 75714\n27690 39510\n7196 48526\n25624 57178\n60595 91080\n63385 92105\n18676 50801\n10353 58647\n43066 63858\n29173 62668\n81401 92044\n73073 79960\n48204 80736\n30726 93546\n19944 70128\n1534 63276\n29445 30221\n4012 50610\n11487 72238\n16801 76626\n7948 57135\n74038 75537\n15146 47151\n67386 80951\n32420 57321\n49650 84997\n14144 16424\n23752 81847\n58400 85996\n87642 88978\n13458 78477\n12100 79347\n7857 87018\n71904 95922\n37631 72303\n2831 82230\n30901 46432\n1045 82156\n37271 89111\n40630 96915\n41994 82864\n51079 89233\n29000 35499\n3786 27910\n333 41660\n20409 42659\n17307 45558\n10539 95291\n51079 88383\n28271 69277\n44068 96970\n19031 81546\n14558 86210\n75035 94731\n24992 27664\n37254 62134\n20742 38879\n14532 63129\n2024 86838\n11488 38303\n15774 79547\n45195 45593\n62 54727\n51869 85481\n49822 79765\n47964 52359\n24899 59488\n23575 81147\n1953 65875\n12627 23255\n60730 71007\n4492 96570\n36877 98653\n67065 87190\n5517 61954\n23025 34666\n1984 50525\n66076 94782\n35359 90002\n18932 78821\n84247 89514\n24893 90719\n51190 95677\n40080 89422\n49413 50472\n38494 78136\n2685 2737\n23256 57438\n32743 74842\n10506 25616\n68453 73293\n73897 79402\n21798 31406\n46773 93278\n20183 85593\n57546 99578\n22962 82916\n8607 50554\n56608 88831\n6634 34630\n17612 33242\n6950 24682\n1428 34423\n10114 27375\n19580 78571\n46200 74604\n27278 90514\n22119 66431\n55660 72908\n8579 95935\n19376 51132\n25728 97076\n63263 74450\n45832 47513\n926 73664\n18185 38297\n65461 92415\n57091 87162\n50017 81005\n18297 24240\n3376 44326\n4830 48235\n7892 62459\n27979 50153\n24113 38753\n89697 95844\n40788 86264\n9454 49908\n45563 50651\n17141 39940\n45451 78699\n74038 96920\n6586 63354\n45776 64834\n18656 88019\n61124 70685\n23831 59492\n72922 94607\n41889 61377\n35191 80335\n28285 97920\n54674 87538\n47397 51784\n8046 75480\n7175 76429\n26238 85553\n46684 61769\n16996 49660\n30615 55474\n13582 82962\n35744 41562\n91474 91767\n32649 52100\n36561 73796\n7371 98715\n24383 59676\n14621 56798\n29609 95339\n92333 98556\n12716 38493\n86109 86780\n15612 28168\n30523 39558\n71098 88510\n37373 67894\n18260 22306\n1069 53387\n46131 78750\n28912 61059\n41258 78857\n943 20702\n3803 81190\n9497 84332\n24644 35722\n57509 67725\n18438 73494\n64301 98087\n37898 54190\n52485 67731\n28385 47104\n11913 24551\n18651 21753\n8200 92061\n72202 77013\n77804 82581\n5834 9700\n67329 86283\n16988 57974\n4967 6823\n12066 81172\n13425 43864\n24948 46496\n49498 87684\n16321 39117\n8332 70832\n65404 78534\n12617 35666\n7867 76954\n33445 94235\n31311 96857\n2013 78146\n58978 67132\n32812 57825\n6918 76332\n31445 96006\n3436 97074\n13071 62978\n62615 86040\n29419 89633\n18036 26922\n31219 53390\n74162 97306\n15995 79145\n78701 86433\n33510 79922\n34019 44957\n51013 98791\n59015 80017\n3106 45561\n17188 22415\n20874 59228\n75931 80281\n39002 62137\n51198 64081\n2536 70741\n7187 81517\n14629 16782\n5355 61437\n87712 94396\n7263 48672\n80405 92165\n18415 96250\n13164 78224\n64957 99741\n35122 51434\n29382 77297\n64293 74469\n52762 96795\n19010 76326\n5730 69050\n12624 34338\n18944 72780\n13699 51040\n1290 13491\n41633 55711\n40053 62298\n52773 80763\n22444 62444\n7483 75063\n38715 48659\n17153 88846\n33390 85930\n35081 68526\n86453 91063\n53081 89277\n35746 57962\n54857 60769\n16559 32576\n10868 17015\n40196 52260\n16596 39769\n60061 98105\n92192 95718\n50780 56588\n25684 26364\n8003 35640\n14634 96047\n892 76443\n40134 40731\n9020 29258\n20371 63619\n65988 92979\n27808 87606\n49817 71754\n32578 66494\n56061 74347\n35222 83081\n1233 45469\n18079 65079\n30533 30676\n50807 64389\n1557 2035\n20878 98545\n62820 90298\n63086 79364\n51130 94960\n33757 49523\n55779 91359\n23721 48065\n13768 67264\n75047 89251\n60664 66110\n53796 56243\n41873 75341\n3315 22328\n48052 99106\n47204 65597\n82093 95109\n18394 38890\n5052 75897\n9004 19561\n26432 43121\n19228 95768\n52550 87842\n6295 24826\n6894 98554\n15337 62597\n19981 58990\n8667 28491\n48925 67045\n16076 94936\n26209 96105\n40720 54192\n50187 53660\n29158 29469\n56961 94786\n35076 73143\n61400 63508\n16923 77391\n23465 76336\n42806 66419\n21102 95101\n31874 48772\n26862 81519\n68409 89507\n16932 37051\n11263 67885\n56754 60055\n2816 14433\n29195 80605\n31077 66180\n23708 70193\n80572 96708\n43702 53440\n40007 51015\n51916 59279\n53623 57570\n80530 98251\n10391 33570\n33252 78688\n27559 71440\n2010 43927\n59458 99374\n7230 98134\n67047 68177\n61247 76017\n29684 83107\n45670 75523\n31490 89004\n39294 89806\n43940 60502\n53773 64737\n34915 75310\n77735 83274\n45182 78325\n10710 16106\n30815 63661\n7930 24968\n26168 96731\n25433 78911\n39674 62985\n15740 92889\n14898 55135\n565 17018\n23653 58241\n48992 59576\n26424 33679\n60300 91193\n60777 89097\n48551 62350\n10527 41742\n54143 75711\n606 84961\n1164 45568\n55511 86851\n58160 69685\n20142 30801\n9208 24195\n55980 61909\n16554 89833\n70064 96721\n22764 62520\n929 77096\n39196 91360\n25846 83607\n2255 87243\n20133 65161\n57107 72214\n8670 98855\n65570 94599\n7046 78421\n58848 72331\n2790 44279\n14287 18773\n19451 52719\n40954 66369\n14358 73497\n65180 95578\n21053 69405\n1184 5722\n27274 45207\n7186 54883\n98269 99366\n73299 92248\n30224 96321\n43474 52218\n10382 29543\n58306 96067\n31125 39115\n16051 31930\n24192 57952\n80113 80759\n12023 77584\n38023 66900\n95734 99038\n21450 40427\n71849 84366\n30685 45049\n60744 87353\n25425 35560\n20985 86701\n55712 80387\n58814 83720\n23646 82381\n14 59346\n44901 63521\n26656 49390\n20840 33351\n49296 78309\n23142 29555\n63106 78035\n21737 90954\n46094 62834\n449 69667\n3008 40820\n69678 82828\n78821 89760\n12512 66773\n9133 66494\n29754 53927\n25908 69915\n50521 77492\n1208 4456\n977 44997\n56136 73144\n68941 84920\n60047 88823\n32787 76483\n42908 93232\n35242 92157\n35086 43756\n70304 80539\n51046 94698\n4095 34373\n17206 42621\n46867 89358\n43770 50700\n30421 31767\n38122 40979\n38406 67565\n6024 40136\n12068 25421\n18416 19865\n28038 65062\n58433 77022\n27453 48188\n6960 87403\n31510 82391\n513 76912\n55517 93434\n9748 53682\n6370 99366\n48378 72145\n39934 43922\n9986 79715\n12861 90458\n26812 54835\n40360 54166\n50818 91654\n9472 22214\n54617 58103\n75240 96711\n35423 76539\n33265 43223\n72803 81968\n49976 82171\n16430 75323\n1893 65998\n24835 31823\n74190 78763\n35680 99877\n10308 61677\n6034 25769\n41131 79513\n7202 7310\n20955 39407\n78704 99527\n8355 76285\n32010 74700\n79958 87804\n81886 84224\n20366 28145\n51480 73169\n37230 88178\n12723 27863\n9595 28015\n50788 80935\n26827 69616\n2753 40514\n60092 88014\n13742 40201\n22004 39319\n75400 91300\n11241 96374\n52106 54469\n28109 62149\n36510 68474\n71925 96289\n13564 52557\n9200 39419\n12028 33771\n55982 65495\n60131 86283\n30702 81375\n52100 83422\n61848 89856\n7403 61873\n26373 47096\n56139 63103\n2192 20900\n9322 92972\n76125 95825\n15492 37081\n4804 83126\n3755 25655\n24683 74424\n71006 86425\n81646 89890\n82219 98864\n27927 86428\n35247 71201\n14111 89149\n8000 19608\n11851 46369\n20132 48017\n10910 15588\n31717 32170\n64221 90777\n30209 33282\n46795 95192\n51208 51318\n3731 18781\n3669 66728\n21665 92632\n83968 89791\n22913 55138\n39893 50777\n39688 68934\n18720 52690\n19460 41871\n62653 93536\n21828 26299\n11568 19953\n21477 29316\n14189 45820\n10526 20368\n78553 95648\n13597 54985\n8446 94654\n24041 41564\n7286 20495\n72811 85511\n3233 21017\n46315 48148\n91438 96386\n88909 91804\n16425 77027\n21607 61462\n14746 24810\n34875 56261\n320 5869\n21249 65516\n69152 71233\n32863 35178\n60564 71754\n37994 77060\n87451 91862\n1652 5273\n16937 56020\n3984 50321\n48810 91346\n57235 58144\n45575 46455\n21415 39109\n12903 58428\n16921 88714\n3020 63268\n17945 22942\n25719 68475\n41167 83592\n45899 70711\n55361 96383\n1528 38049\n34289 56121\n29376 36900\n83787 85844\n40342 75234\n54451 59636\n61987 71412\n29251 90026\n40793 99717\n48722 80434\n49535 82064\n46696 79416\n30502 32318\n8549 60558\n51721 85650\n56359 71622\n2448 49287\n24227 98097\n63115 90912\n58484 75492\n16997 62733\n1716 77997\n8048 63548\n10562 63386\n2110 16037\n40881 91320\n23119 47260\n38429 41545\n20120 76504\n35779 40523\n12822 86471\n12752 91244\n945 85512\n39579 92336\n9934 80338\n37276 55670\n1325 81130\n39685 98853\n2177 76390\n70006 98850\n62023 70971\n5519 54159\n4096 39157\n65954 73032\n62224 99079\n13505 35164\n54 77443\n39783 88424\n4074 97029\n81790 85400\n57380 92465\n31782 84884\n27648 66137\n5832 25554\n1808 53696\n54749 88640\n48590 92709\n55005 57522\n52585 78402\n136 28339\n10800 37198\n10261 14457\n23097 91760\n74976 76050\n13821 82007\n50683 99727\n80525 81030\n17083 60709\n9887 17340\n64951 72141\n61761 62715\n8327 14545\n22145 89005\n23499 97499\n15804 34365\n25310 59279\n26741 59420\n9366 34165\n30883 99883\n34928 98556\n12439 29099\n16077 33259\n46706 76321\n15296 50953\n41332 50620\n35063 37515\n7526 73673\n24084 82112\n88009 99545\n45078 98315\n7764 58189\n33771 61605\n34362 85250\n71207 75201\n26063 89925\n18283 85878\n27318 56635\n58564 94963\n44694 49998\n97138 99042\n44403 63293\n24240 68482\n29648 59931\n19108 28057\n30 53365\n21642 47601\n41474 96412\n20502 80972\n5689 41542\n50858 60577\n12381 21028\n27728 98652\n28308 39087\n48185 90699\n12268 94248\n11110 81802\n45415 87290\n59190 94037\n40170 74725\n26040 52440\n84466 86816\n96664 99665\n88528 94642\n15254 22035\n63691 80965\n34460 41138\n8221 19664\n65496 86469\n12490 81706\n1061 18470\n17041 60047\n6400 8137\n7899 75559\n80389 84582\n18524 45604\n34751 72904\n64271 98826\n39785 42510\n84948 85419\n16787 67927\n44408 56009\n268 56050\n66064 73137\n17484 58907\n13691 34350\n64425 98493\n13182 33468\n85269 97882\n38726 62986\n62983 77081\n1750 96694\n8302 13576\n12719 88842\n6209 20654\n4270 19431\n42925 87408\n32923 91140\n68079 97907\n42450 45311\n41629 82436\n75241 99324\n5487 44025\n55885 64938\n36326 46840\n65628 68186\n32331 98875\n4470 75611\n56931 87357\n61384 85908\n31444 69504\n19518 90109\n88433 89893\n16821 71655\n19943 80005\n42363 98883\n56184 91547\n7006 47703\n32255 90334\n8204 82589\n27322 34601\n28764 79447\n91625 98353\n48652 99781\n63413 84951\n42482 69185\n3897 44305\n263 71674\n253 7477\n23217 33675\n9755 12886\n75907 91279\n11157 22376\n71651 79595\n33626 90087\n23602 60772\n24342 46031\n9348 52956\n19162 87820\n11750 39274\n11747 78154\n43208 61048\n55544 95098\n11262 22992\n4492 40853\n11516 16372\n4469 34103\n56245 90781\n37027 69650\n9559 84387\n73443 75638\n32956 47912\n28934 88819\n931 97381\n11632 19323\n59717 83073\n63689 79566\n48557 74284\n18633 26898\n63260 68307\n81415 91205\n34432 58084\n9831 48883\n3979 70101\n33221 43410\n91173 98055\n2148 22852\n68872 69918\n40782 78550\n11475 58981\n50641 58988\n9003 77925\n26026 51716\n27037 37141\n18352 18355\n26231 47436\n64289 79881\n57848 94962\n7083 77245\n59524 65453\n50445 75853\n30565 65861\n74010 81502\n17055 25587\n9941 35888\n34612 97651\n1338 51733\n48010 54927\n44960 54701\n49318 88984\n72270 89389\n54462 67493\n12748 47600\n7203 71304\n33076 87673\n87260 97827\n29329 58091\n35456 39158\n4732 82633\n5556 32514\n25303 39379\n63588 74118\n7058 76452\n38791 48097\n14028 80419\n19645 89776\n20324 49950\n22285 34887\n59953 96001\n2537 58029\n17612 87423\n65716 94947\n48611 82724\n49670 55197\n53836 53919\n17437 98030\n80823 89708\n9634 70834\n8099 84915\n48061 75843\n18270 77858\n19628 65301\n36891 66615\n62213 99483\n43087 67338\n5014 99206\n4171 52936\n21359 68087\n24235 33339\n22487 28958\n44955 83094\n63010 83235\n15622 74553\n9698 91094\n45913 90435\n11939 60123\n34212 49752\n11439 34037\n28740 78542\n22964 61538\n50670 80356\n14143 52506\n76294 89758\n37678 78334\n29826 50015\n36389 37438\n11260 25892\n34769 79616\n5686 25569\n17449 20353\n83626 84505\n19518 66723\n12546 51935\n51427 64205\n56740 94750\n4996 49837\n17332 22739\n15235 40664\n42567 42840\n21933 86428\n35540 87518\n15170 23015\n63883 91501\n77159 84950\n40786 65264\n27369 97144\n18106 35783\n34848 77279\n28354 95584\n14613 15176\n17203 76445\n35542 53618\n6376 82846\n37863 95990\n67610 80059\n22723 78890\n74787 95652\n1303 52531\n47766 88225\n16565 24884\n25719 27733\n60410 87851\n5726 52344\n4878 91319\n13751 60744\n20063 34025\n84697 92805\n47034 64830\n34450 43502\n73697 78043\n12652 57265\n10052 14789\n11956 93288\n62795 84166\n9927 19297\n57593 87841\n42838 63112\n40004 60211\n9631 76764\n43909 56670\n767 33925\n44251 50522\n71530 97297\n46240 47926\n4585 22048\n46817 98964\n20183 25648\n26016 80725\n68994 78441\n15237 91209\n1617 47385\n36890 57515\n28324 35738\n27445 49464\n50692 94306\n30432 70389\n6046 11150\n25153 52341\n44195 53215\n24375 78157\n53331 74553\n18182 49516\n18970 88258\n43863 90058\n2620 18012\n16396 16697\n31668 91712\n64179 75804\n6887 34696\n18525 48455\n34313 55102\n31182 55282\n78697 86956\n7212 24259\n70526 82647\n28282 38227\n57947 89352\n30811 72028\n57737 98761\n29035 93337\n42684 52732\n57265 60374\n28163 55063\n58181 88122\n14721 51377\n45072 64519\n67075 97983\n22377 46257\n54816 66014\n46493 54757\n19315 42577\n61677 88068\n17218 91866\n7217 10090\n58267 72116\n37282 96369\n28047 70006\n18636 84658\n71682 98304\n9906 39918\n5757 6343\n16612 97882\n53893 74788\n18168 57296\n97333 98067\n56839 94562\n35225 48616\n36313 78021\n29230 35187\n28053 75507\n21301 72256\n47353 71970\n63129 81205\n17802 33280\n85839 89463\n65714 96180\n19858 64134\n16904 24423\n71434 93500\n34908 98779\n17111 33765\n40755 83108\n75400 88588\n19824 89312\n48282 94014\n57881 87427\n53564 75815\n73134 77420\n54040 74080\n13269 98184\n10612 33534\n12629 95074\n31079 83548\n47178 72039\n30972 67120\n9765 59368\n11198 82615\n9821 75906\n65185 89282\n17284 39113\n7192 34494\n2079 6568\n27162 89506\n39694 40623\n22649 50612\n29326 75942\n57768 64337\n31794 40878\n1821 87716\n61330 80084\n18301 18705\n40974 80019\n20315 75528\n82872 96726\n64402 92050\n24471 33170\n34326 76724\n24977 46139\n3402 48345\n8641 24038\n5991 73718\n64503 82946\n34936 76083\n59545 70680\n26827 54732\n61231 64017\n77901 78555\n38281 49221\n34415 79698\n89640 94537\n10429 77486\n49296 83448\n3425 10776\n44687 64254\n29788 82016\n73583 90041\n49851 97523\n1799 74920\n27311 73009\n82457 95922\n75680 78260\n225 6058\n44365 58709\n72328 88843\n29313 41656\n76432 95095\n6909 74124\n13647 69721\n56309 64137\n32060 33896\n16129 59231\n23910 25803\n34313 89038\n56502 72769\n33655 63975\n43376 81962\n60978 62460\n22378 63321\n30140 69434\n23087 77482\n6475 29568\n3389 6681\n23372 68928\n42296 47786\n42549 54352\n11674 57974\n28953 89025\n41908 56923\n1429 7522\n32950 91133\n12578 45493\n38028 89863\n44531 63710\n15367 93814\n21446 23401\n47523 83003\n61879 94915\n11589 97131\n14247 82479\n43902 96555\n35969 73782\n33820 58047\n31737 71883\n9871 21493\n24355 65816\n48512 76446\n10941 78660\n52873 96468\n47456 97193\n28683 33815\n26641 36732\n15671 30104\n13133 46261\n1283 13052\n40666 84251\n13518 60735\n6618 86748\n9598 64859\n9171 47009\n51739 93411\n27686 66170\n24117 59596\n6049 53046\n36944 92196\n5572 94487\n14194 97404\n29940 43729\n11985 67688\n61321 66790\n25327 43397\n43478 69666\n73540 73780\n35682 45895\n14714 65428\n37164 37314\n56587 71586\n45874 77811\n5894 55020\n21047 63485\n7411 84772\n46071 49907\n6459 59270\n33596 51120\n66439 87734\n12023 12906\n32371 51972\n38578 75331\n20485 43249\n20382 44878\n74060 92314\n14896 42591\n481 96955\n77095 96248\n9401 83536\n47969 72837\n35095 80038\n37454 57817\n55485 83192\n53928 70265\n67916 79117\n31167 92263\n41173 76327\n32105 57412\n26901 71704\n61935 84819\n5997 54390\n44464 80000\n1989 27325\n27900 69570\n923 31134\n15397 50824\n22709 86005\n6901 36511\n2677 40652\n9242 66083\n70159 88871\n11758 13612\n72136 89856\n25753 78917\n52966 92842\n82527 98793\n21636 49408\n8436 26509\n46920 88190\n69771 87755\n89303 91380\n36839 52712\n88522 96912\n38203 82226\n39755 71883\n37154 98616\n58741 75448\n29449 58283\n16031 26502\n46498 65747\n34358 90329\n63583 73614\n40650 93742\n31163 54687\n19205 96075\n7855 44598\n19432 63072\n43951 81107\n18112 95664\n29774 95262\n13611 69008\n8019 29887\n28779 28992\n24409 31977\n80586 90673\n37358 98610\n66246 85566\n61082 85976\n7933 54356\n10550 47940\n61183 98513\n29440 37370\n34636 67725\n10466 89786\n114 90390\n57493 58910\n40240 42201\n42192 74375\n14527 16902\n92644 99844\n69733 87601\n56594 88166\n18821 82329\n50776 78828\n16512 59637\n19695 81596\n62325 81573\n85527 91435\n86191 96238\n57283 84088\n21276 78300\n24451 60702\n25546 49976\n5372 81870\n28348 62874\n45342 70145\n41089 99281\n23131 66971\n20897 74238\n27789 68886\n49615 76431\n50458 96619\n19967 50335\n19503 38900\n28792 44455\n30239 56743\n32285 83892\n18627 99374\n9419 43799\n22493 26300\n50226 76911\n35472 45510\n62972 79020\n28044 97185\n68810 93413\n11016 23156\n18971 87800\n2033 43473\n13417 69436\n4269 64126\n34367 97030\n36582 41786\n32301 46289\n33408 77360\n40160 67533\n35868 82698\n23624 57756\n52698 59007\n12447 25788\n75316 85447\n27859 35874\n16272 78655\n61337 79125\n63499 70700\n25187 77671\n20142 99552\n30399 88137\n64205 68255\n19893 35254\n54522 62968\n40306 87983\n20595 86558\n53611 75884\n2010 28258\n26535 91807\n34933 85972\n25054 96643\n9659 16912\n34889 75502\n4723 6888\n90525 97288\n8044 32592\n23785 52739\n248 78752\n15260 50921\n50377 97892\n26488 40163\n40730 83103\n73381 96456\n55193 79129\n22095 89148\n23376 33725\n11194 17621\n7144 39272\n58320 99730\n60295 80538\n10017 94136\n70324 86186\n5378 39177\n859 82409\n1157 2995\n23682 33669\n14680 70436\n47649 62466\n62996 88385\n16517 58329\n65587 81463\n34678 79860\n37960 89893\n43262 64994\n13444 81638\n49738 61677\n77107 82698\n29262 74325\n64887 97003\n42882 97887\n69026 86090\n73500 89593\n16590 40725\n23608 66266\n22957 45505\n59161 80360\n55045 74774\n3310 86893\n27764 32720\n52471 87438\n24669 35429\n2860 61687\n16909 26226\n22244 81948\n27885 34610\n3507 88205\n66905 98103\n16525 72136\n32679 97577\n16064 18247\n3350 30714\n52553 72663\n22621 91169\n15181 70844\n54062 74245\n85649 97963\n43021 46426\n33670 76783\n35789 36384\n12210 30025\n1177 25494\n39304 77399\n83544 92847\n29137 61644\n10654 99313\n9254 44984\n37117 90374\n34262 41048\n1740 2841\n15125 27753\n7583 77177\n48640 65746\n14360 46539\n17698 49545\n20123 76567\n62596 68718\n5822 58734\n33665 99001\n15323 88087\n19599 53050\n44110 45570\n7035 21615\n21176 82535\n33804 63154\n9240 98505\n21077 33256\n36149 69077\n14558 95288\n66816 74142\n295 31044\n11902 88843\n35008 64994\n6189 39606\n26128 77224\n9901 44487\n40745 79729\n12299 38817\n58937 85940\n57590 91837\n1512 73912\n59955 72415\n3624 16279\n42828 70360\n17655 42934\n55544 83309\n47020 62308\n34249 88936\n35976 52258\n70792 71683\n6178 74799\n8389 56027\n12618 20663\n50850 90327\n23725 42391\n56228 97371\n13063 92925\n48642 50120\n69995 99781\n17351 36314\n30585 34530\n48755 80043\n45594 83429\n31085 76841\n36406 97550\n3081 46983\n43906 50976\n39020 96680\n59440 62414\n62047 91272\n27604 52745\n10937 21684\n11718 70103\n64406 97764\n11928 80320\n21674 38452\n27930 65900\n51372 90184\n8706 32386\n40431 92472\n76687 78225\n12427 96966\n30216 67325\n46228 86743\n86437 87711\n69119 75550\n7082 40637\n65416 98678\n9967 28128\n65239 89229\n21325 98369\n5487 85863\n26481 66757\n26138 86797\n16372 29454\n71360 80616\n73753 84505\n39955 42776\n12586 91783\n10925 69115\n2878 92735\n28797 51823\n31780 76571\n36849 78784\n10205 56985\n81984 95459\n12128 95094\n51060 74640\n36531 68433\n18059 27876\n23246 92547\n8335 41600\n15850 29854\n2716 54248\n4879 59510\n20488 30757\n31673 87344\n32855 59372\n63582 77088\n88174 97703\n9900 73395\n6218 31717\n25365 84266\n2130 65768\n56973 84829\n44041 90091\n30982 91358\n41961 82223\n6299 22836\n8552 44895\n61730 66279\n9158 65369\n15617 93741\n8204 66775\n64459 80219\n30202 84923\n14875 98507\n44122 59696\n74155 87285\n15785 78631\n83718 84248\n10705 18357\n53273 77794\n7506 98157\n20369 22150\n55835 70435\n77502 87379\n8816 22747\n6373 11420\n18295 71768\n65536 67406\n26658 53894\n36008 37243\n92714 96946\n51912 90688\n4599 7831\n95004 96755\n76043 77124\n25084 83900\n34718 84177\n18933 38812\n18963 89126\n44408 60403\n25833 64250\n39279 50305\n66834 84655\n61667 87124\n17124 84676\n11897 38309\n22785 60108\n14116 27514\n22079 23702\n40973 99762\n28948 82275\n75044 82754\n12764 66355\n16567 68152\n28739 92277\n57205 68408\n13577 82775\n41853 61289\n34052 60229\n8179 16395\n8875 95551\n15411 72954\n35309 39378\n50373 54370\n63586 77816\n37910 61428\n8587 20586\n8590 66960\n59208 70813\n18058 21255\n29902 73432\n21494 42398\n8975 87908\n36254 52428\n8742 81285\n13001 77973\n82573 84120\n5949 73851\n15833 24404\n55785 99223\n54955 67216\n1832 40824\n64225 66842\n84591 92912\n48770 65591\n86647 93686\n23545 30651\n9376 44565\n4829 14864\n36263 62128\n95405 98734\n22329 33694\n48158 92717\n25550 92434\n39107 54662\n61391 77623\n29454 95239\n43990 77171\n5352 25270\n59609 88734\n58544 87898\n13546 94947\n21889 51123\n49934 59696\n19487 87913\n14122 52419\n15470 20934\n65312 96879\n43707 97912\n21441 35606\n56599 97556\n8306 13559\n75368 76417\n12485 49541\n52299 68849\n95203 97077\n7271 48140\n63762 76831\n39749 44874\n15828 26254\n11266 72980\n45386 57866\n2873 46868\n46335 56243\n68441 82797\n47131 79763\n2711 90745\n51217 61760\n65824 68784\n62103 82277\n21361 27836\n8636 42568\n42725 61028\n17087 56441\n47755 50745\n11604 65159\n4697 72441\n22338 59190\n59344 60579\n2266 64506\n51364 99197\n82222 93259\n51915 71501\n6793 45653\n14544 87918\n86105 99387\n43082 50923\n41948 64894\n43893 96744\n9506 56180\n50179 94574\n43765 87293\n18072 40189\n1125 23764\n14532 99499\n12112 48098\n51397 67824\n17873 87796\n39573 92430\n68809 88977\n54908 63881\n45440 54186\n13971 96925\n16920 55792\n70560 84267\n28331 75632\n65889 82705\n2250 51460\n24781 26687\n49550 54692\n40963 50629\n28919 30071\n5772 43563\n22155 62604\n37752 85314\n86234 88961\n56515 92776\n6364 89234\n33261 49267\n46115 94294\n57411 62482\n64508 73712\n35566 92860\n53762 78086\n55618 91591\n48677 51403\n26391 94877\n10053 74428\n73374 80561\n16253 36468\n1713 60252\n50571 82731\n36587 55508\n23236 53829\n39132 61452\n55164 89896\n42784 79668\n38899 71155\n18726 27985\n1330 34468\n24921 65741\n22226 71604\n33152 51324\n29502 53641\n37915 93207\n6857 51135\n28837 96565\n47283 81667\n26438 30914\n33660 47822\n58372 65593\n82832 87142\n19737 49769\n46924 88185\n82032 87267\n24895 83672\n12149 91229\n35033 53842\n68360 78434\n5792 40097\n17260 70832\n64813 65698\n56883 90030\n33681 94802\n13193 86658\n39728 74986\n11034 32016\n79533 90820\n50357 70194\n10205 47266\n46373 87662\n32825 96927\n23087 96856\n13993 47134\n17921 83004\n3892 84881\n42889 79608\n54970 68035\n4372 29784\n28769 29459\n36925 42203\n41564 93623\n5551 64319\n28450 38341\n64636 70811\n28117 64612\n35972 90944\n41224 49854\n13131 77908\n36433 77083\n15968 37907\n20749 86729\n70147 92005\n12423 39932\n7959 91402\n63336 68516\n43233 96896\n70744 98080\n66500 84965\n27166 62526\n60568 96136\n35121 42823\n71268 77719\n11485 47868\n9388 35841\n54989 85431\n63087 95495\n4102 6919\n4805 51652\n529 66594\n6731 42835\n46453 73202\n41682 52326\n29352 72232\n68658 91820\n38672 40406\n31094 41379\n16433 68836\n15828 51700\n21333 86636\n38166 98894\n14291 59280\n44077 82310\n53419 65516\n10833 77844\n3594 31789\n53799 66453\n2714 93526\n55124 72697\n69549 93996\n11365 29950\n53385 66148\n83417 88605\n32576 66271\n67459 78450\n18315 24517\n2992 99582\n5225 27815\n17701 31398\n10202 91819\n31212 97206\n11096 30907\n10596 28577\n31181 65486\n69466 97898\n23317 90409\n55211 78677\n22370 60491\n36535 41203\n4834 56941\n40642 66711\n29600 31071\n4065 92490\n38492 50763\n37336 75130\n47458 65523\n43767 67009\n56383 95828\n20757 51099\n55896 98620\n3514 56840\n5734 67439\n23420 45097\n11967 39930\n59994 75943\n28161 31015\n37717 82025\n255 20523\n79207 98469\n66869 85159\n86840 88805\n30397 48362\n13824 58113\n49049 58480\n2956 96558\n22217 26178\n6464 58601\n22076 69398\n55116 63408\n59642 74575\n12427 47397\n5124 21981\n61384 77057\n18586 26911\n3350 74516\n13055 61329\n37237 65933\n19059 82274\n76206 82518\n19344 74414\n11087 87381\n20586 95084\n5972 54945\n35252 38760\n49334 87283\n81978 93593\n21448 49639\n3700 66618\n30039 42353\n39674 99889\n30524 74969\n60660 99426\n36490 60606\n3725 27416\n78888 88815\n24914 96310\n120 20986\n37893 68901\n9317 16672\n12168 96046\n59227 62500\n48911 79961\n21928 34298\n19907 24354\n21188 92245\n7088 86775\n17565 20452\n55524 97691\n3145 52522\n4412 64126\n34634 69499\n28752 65968\n15811 18094\n53334 60526\n62584 64383\n23268 45076\n49215 58044\n8823 25692\n1574 55791\n33411 73557\n14817 79699\n62615 70841\n13490 24180\n13484 44706\n63753 76760\n2775 64240\n27479 64406\n930 55268\n3627 72958\n66197 69228\n2353 69365\n59734 63914\n23611 99045\n40020 82589\n64253 80667\n53203 54117\n19659 46866\n13811 84474\n18293 76864\n58201 90828\n46325 52370\n65195 79330\n16007 17446\n79258 93279\n6692 98211\n39864 68606\n26892 49562\n31871 66816\n53759 67325\n71411 96103\n39352 49670\n36554 82178\n3510 95257\n26803 40983\n26806 41423\n4409 85962\n638 60843\n42783 80574\n85000 88009\n1163 51894\n28199 81499\n27576 52895\n54495 70371\n57996 62497\n37979 74201\n13515 75375\n17888 25318\n18175 88634\n86820 98096\n48145 52560\n30094 95499\n96982 98893\n26157 45376\n25462 47203\n66832 87551\n34112 86364\n14106 62227\n1330 88513\n25753 45125\n53579 95928\n15237 41157\n57832 92157\n37893 99920\n13484 23024\n37330 73835\n8047 15946\n47362 65655\n23902 27682\n46038 61716\n41194 85458\n23756 89699\n2255 55860\n7636 45659\n19624 22064\n12146 51312\n26024 45707\n1843 31026\n54118 74363\n23840 80202\n37743 87165\n53009 73272\n47488 76255\n5507 96145\n41753 78620\n45663 98377\n59094 98877\n52849 62811\n54294 91168\n413 7207\n5615 72744\n57669 84452\n3429 99688\n10219 54121\n62746 68854\n30776 85724\n70488 85050\n73844 78767\n6871 7191\n59353 97021\n48341 82491\n35288 39526\n3703 31020\n49999 83836\n49740 63707\n62969 96246\n4545 63982\n96579 97507\n58056 80901\n44335 72778\n61929 81683\n62679 90962\n76676 87076\n20643 52271\n50099 72401\n38635 95804\n45900 94898\n874 85772\n4728 16428\n33240 60451\n41643 84677\n23149 53008\n14247 67949\n58129 63884\n71795 73414\n1178 21305\n13329 86374\n25579 62925\n11518 31406\n52132 91720\n25111 44355\n38304 48006\n15332 22628\n80009 85759\n78484 99463\n38913 74748\n29405 45464\n58780 74288\n46914 72945\n6588 23800\n11616 30619\n71736 95461\n74752 92270\n33613 67355\n11150 65479\n62480 97239\n9961 10226\n31799 75683\n12338 43575\n6346 21096\n39723 82966\n7081 55067\n83029 98141\n4304 87750\n26237 51952\n46053 54560\n39841 46393\n1589 77305\n20265 45264\n22319 74804\n80583 82759\n15632 53500\n20237 73537\n33068 61401\n19250 49410\n2268 59396\n51371 62600\n62610 70274\n4151 93685\n3880 17715\n62020 77434\n22541 55085\n63265 86743\n48673 75166\n36208 97767\n55483 64258\n36435 91048\n63547 65880\n53139 75689\n40163 97495\n70994 89624\n10641 80676\n28846 36774\n80175 82679\n73003 99745\n62562 72381\n40298 86077\n30378 51989\n82029 95888\n38930 83550\n67461 70348\n2346 41025\n64607 67461\n43460 46223\n2855 50766\n9701 87882\n62716 80740\n19416 81407\n96682 99350\n14795 68407\n5211 16068\n91516 94348\n26778 81766\n24743 59196\n3066 95237\n58140 83417\n75526 81858\n57691 88859\n54712 93347\n9582 38767\n41600 53022\n50133 93432\n18440 97522\n12553 33802\n10012 85013\n17316 26498\n2023 31026\n25789 78339\n33160 87974\n18519 73956\n12407 83545\n50119 83838\n10529 44581\n29626 56684\n73005 80689\n22905 50053\n31582 41878\n78414 79959\n10234 67069\n15386 23255\n52633 59406\n18349 57190\n70965 94304\n51568 86434\n8147 32625\n65498 70976\n8210 62714\n12434 81065\n14164 40743\n18959 21927\n65540 86383\n32538 76932\n4731 89660\n39947 49316\n29705 70689\n32113 65305\n43833 63745\n92788 97988\n28499 37868\n66331 79824\n88209 94135\n27646 51754\n32740 70711\n34761 85918\n54778 84140\n72338 99891\n33627 55763\n70779 84638\n11702 23072\n21769 69147\n62817 70251\n84657 93216\n82394 86801\n18072 32474\n16669 77374\n32367 45771\n70758 86041\n22281 67728\n20944 35214\n58840 60641\n43547 73138\n7649 79395\n8634 69767\n53382 54302\n7414 31205\n67759 75415\n22286 62165\n32011 55918\n43266 60586\n17955 92607\n23783 65581\n93128 95441\n66936 87272\n22476 78159\n88623 93625\n2550 41285\n13310 64636\n6861 59740\n23241 83424\n11442 54504\n37160 43932\n5428 29702\n4480 46097\n37992 50114\n12939 44638\n13597 49669\n4514 72115\n39989 94668\n51245 52153\n34212 44809\n23731 63139\n57366 82939\n64879 77287\n5688 88155\n21386 93569\n61287 85191\n64415 66255\n45885 67488\n72448 95794\n43929 93468\n4344 6242\n324 51938\n90046 99237\n80000 93760\n66129 95512\n11058 63458\n57227 88795\n85455 89028\n12603 79607\n51139 99958\n66310 78954\n5543 12551\n3253 95587\n8530 45965\n45255 90910\n11983 28274\n26658 43699\n58884 81410\n23934 88529\n7031 10421\n9148 46639\n35023 82014\n54970 74651\n57318 90236\n10257 16878\n25997 38228\n19996 54395\n70831 72767\n31543 46949\n19963 48052\n37437 41999\n5220 29513\n32737 82347\n38370 96898\n20267 21673\n6778 30242\n16871 89002\n22586 77163\n35878 95810\n54044 93644\n14964 35844\n46781 65911\n849 48382\n2577 61231\n15738 79110\n166 18528\n19903 63571\n32545 91680\n7811 95880\n33544 82637\n46280 54330\n5060 48687\n20942 77854\n17199 78950\n23843 46020\n30318 42935\n70491 77796\n38976 63380\n38924 96003\n5784 56578\n20214 65168\n48147 69378\n55637 57484\n47159 61154\n26294 94967\n50355 81721\n31236 54825\n80676 98848\n75461 98297\n25708 71986\n41618 56579\n724 8529\n44122 74525\n55133 73620\n17406 76932\n61491 82848\n72133 73564\n44616 88439\n61744 70898\n30300 97328\n37569 55779\n5660 13216\n62854 83870\n46875 93235\n23771 97358\n20334 69722\n7217 77461\n56625 63108\n64883 77971\n24171 40789\n17573 71849\n10959 41882\n42098 80592\n52336 86344\n85028 86235\n8312 22211\n53629 92155\n58353 98026\n39286 59323\n60831 87389\n59101 83282\n29982 69669\n66622 99896\n41707 69839\n35020 37089\n39932 79633\n24151 56227\n8328 23372\n30074 86219\n45145 85904\n35767 76361\n43033 96964\n19118 73073\n47144 51226\n22642 89725\n20887 78186\n11087 39575\n41172 53817\n18289 26258\n27878 81533\n17024 77833\n17667 64840\n19845 51898\n10310 43850\n49729 68022\n58252 84802\n24129 49940\n51894 73884\n21904 91151\n17376 56431\n10190 49663\n30501 72692\n47349 62451\n33559 78895\n18029 34601\n36430 57242\n28356 32918\n12771 65650\n78870 82594\n41853 63163\n35781 87150\n12837 39387\n40395 86050\n504 10099\n18940 31353\n23084 56100\n4426 33697\n38246 93636\n9857 11939\n13849 65744\n8693 29565\n26240 53569\n14693 62343\n6504 99726\n17192 37639\n19697 68888\n13632 88245\n35218 56486\n18780 71942\n60258 79854\n1944 19572\n11719 56687\n7500 37755\n63870 64861\n10767 46329\n34161 66526\n22238 89852\n28794 63356\n62926 76429\n45322 78342\n55598 92191\n35935 97299\n13069 94866\n20787 28753\n15844 87051\n9139 56042\n36685 56449\n17273 58273\n54554 87080\n29652 55437\n22439 42267\n8053 57625\n23138 34426\n34179 73832\n63101 92068\n20222 29030\n90490 97658\n39341 56492\n49930 85823\n12114 43171\n89418 99667\n76429 79519\n70945 77002\n15729 92808\n8651 80797\n8937 75644\n57918 88295\n16783 72360\n26467 90061\n71842 95020\n71624 73365\n37387 39811\n27796 76159\n43814 86701\n10037 67650\n17940 69175\n35126 89423\n13801 74576\n58511 64214\n37214 69209\n11187 18201\n25090 25521\n88985 98502\n16748 52135\n9605 44013\n810 66988\n22918 36969\n50121 74937\n9243 34004\n13139 43577\n12439 59769\n65132 74547\n71982 99445\n63458 87367\n34345 41941\n39506 89409\n20933 63894\n21400 43103\n4500 53240\n8641 72594\n83164 99665\n19360 64287\n10550 90208\n7458 20249\n2970 87676\n28380 84047\n59598 65608\n31683 99801\n17852 99592\n76535 99353\n9314 71643\n39813 69305\n1016 99455\n33548 47504\n8700 18930\n46710 57400\n38580 53761\n16559 82007\n25365 37045\n82511 84958\n2399 39331\n52911 81623\n21914 80915\n57355 73672\n16552 24554\n13000 38328\n32616 81182\n59156 92221\n62136 96821\n21772 86354\n96490 96919\n39578 90425\n57815 82827\n72871 81881\n52166 95483\n31473 82819\n42626 61465\n67254 84002\n19315 20482\n47955 90433\n34132 95624\n7618 82416\n32951 94628\n884 36667\n18727 55407\n43170 49066\n617 29569\n27633 55853\n38499 77320\n12300 40852\n15855 24268\n51111 72280\n34138 43562\n2510 73747\n36924 40931\n3036 90661\n52745 66425\n57445 85918\n62026 88157\n35720 90060\n54039 54845\n31162 82437\n51340 86603\n44499 81014\n32495 47502\n55170 64573\n21443 89505\n78220 99068\n11190 70776\n5807 22630\n2413 94748\n14918 41899\n22100 63623\n11745 58059\n15459 48494\n17752 78113\n48281 92629\n45703 59823\n65619 77558\n58767 74042\n67513 88640\n59003 79586\n3279 57062\n26195 29295\n65287 84884\n11031 43545\n1053 48872\n29915 55998\n28198 53889\n29978 87944\n57953 67353\n17523 66213\n57810 80581\n34444 48107\n71516 98141\n23709 98327\n3254 12125\n4862 21931\n3326 64206\n46539 48902\n43759 66310\n41580 43371\n42428 95927\n32754 54219\n9846 92312\n8689 79278\n2782 74963\n5345 21655\n13665 29580\n60251 80521\n15315 88530\n229 79958\n17243 96922\n4047 58171\n27210 61574\n49991 52128\n59772 85547\n29444 79255\n25422 72471\n4614 91806\n7455 95511\n58458 80819\n46179 74235\n10143 82043\n53002 64871\n43511 77394\n49662 72436\n20872 71514\n22719 77850\n24286 87108\n48004 75188\n7845 65544\n4651 93354\n4539 60685\n12083 83169\n63 88910\n32359 38939\n30978 77240\n851 97088\n14610 68516\n24103 93878\n44928 62543\n58483 87097\n75823 95202\n54570 95548\n111 44771\n33582 62858\n87524 94656\n1354 95953\n63647 73653\n32855 93475\n22860 39382\n16844 74834\n31268 32024\n16272 98585\n24335 53014\n25620 55692\n18943 57390\n47438 67504\n44382 74520\n52533 55580\n30654 31344\n49773 76889\n19925 93719\n61882 74356\n73003 89367\n8736 55117\n11868 19421\n16990 42898\n62765 68003\n46257 88655\n63369 65541\n55641 71172\n6022 50323\n26545 43361\n39008 61501\n28800 75929\n12133 46210\n42332 57684\n67633 90418\n27268 73147\n5353 90507\n39669 67344\n7382 11933\n18157 18650\n57214 64004\n77435 82431\n4435 34549\n2869 22434\n20204 24743\n44082 57152\n17377 43404\n37121 74503\n52954 91423\n33130 50578\n12144 56845\n20552 44120\n62570 91373\n43586 53834\n30890 57000\n21342 72656\n18030 55140\n17909 43483\n24024 35671\n49653 94101\n44205 82375\n87246 96492\n91614 93880\n31208 57211\n20904 40255\n19114 44306\n17831 72866\n37487 39310\n38579 96059\n8379 26155\n20522 57806\n24322 67311\n59478 97034\n73185 99137\n17945 62909\n23470 77101\n42014 77588\n2123 50090\n424 29449\n11940 23720\n3655 33853\n11987 24989\n69422 90844\n2074 78138\n16867 46235\n11568 86642\n53324 64354\n91200 92108\n44452 85398\n19378 66237\n960 3791\n41767 83444\n28668 42344\n25042 58707\n6247 63851\n15400 56496\n23132 85598\n43079 78171\n30629 35102\n72126 86261\n65759 78397\n53822 88755\n16092 55323\n32509 55567\n54383 75929\n51892 95484\n32995 75552\n39096 89389\n4705 48378\n25726 34534\n58450 68360\n19948 85202\n4504 50111\n64657 80959\n6330 26070\n27184 38839\n14146 42294\n56425 83047\n15557 46342\n13904 70175\n16277 75694\n35107 91531\n6784 63010\n33041 68156\n6664 80137\n33853 58604\n73435 90298\n26639 94154\n53868 71141\n28728 53713\n67334 77746\n10234 26637\n9206 95826\n1305 67156\n17353 28131\n20916 22125\n41814 87688\n23541 77276\n23136 59493\n37314 77788\n27418 67832\n4578 53994\n28167 87515\n40426 56238\n42517 74640\n17903 21083\n68031 70855\n32808 38955\n83218 90323\n45949 71906\n38970 88125\n15434 19557\n96 29688\n14068 39635\n32333 52877\n91372 96948\n66314 72397\n38356 88631\n52460 79891\n44255 70077\n81286 85262\n2690 48827\n76012 98894\n61580 79438\n46541 85929\n33809 54691\n28966 52804\n11988 60384\n28707 50161\n21387 91232\n38280 38867\n40682 60790\n28237 58772\n35101 52336\n17812 78126\n1823 66422\n53349 97098\n49607 51116\n72884 83969\n31215 83439\n38138 68826\n2236 10873\n9338 37677\n29504 56710\n28027 80330\n37943 62338\n38457 47194\n2323 9921\n33470 51473\n15981 96047\n7379 37148\n9411 75723\n37842 82980\n84050 87436\n11892 82344\n37159 85511\n68424 99161\n72071 74310\n20564 44960\n31695 62463\n33273 99632\n27862 82467\n43522 73784\n21077 28558\n41225 59877\n17880 99574\n30077 46238\n48009 88612\n16441 77503\n16849 77149\n1350 77829\n19740 27684\n74919 78412\n72655 99296\n29269 75406\n60456 84657\n34755 52281\n9879 65322\n48373 91114\n25035 96103\n12180 60997\n5679 82378\n57357 60393\n19619 69800\n53884 78501\n13331 57138\n26663 32703\n94806 99943\n25757 91338\n24836 55691\n35348 40424\n2214 48098\n37396 66679\n39186 95934\n60230 89810\n15748 74475\n69668 99614\n2316 26487\n10065 35539\n953 23777\n12674 44325\n13406 20705\n95119 99232\n25494 52516\n33873 51305\n39556 52241\n11595 20073\n1497 7276\n45224 73208\n53691 58764\n15420 44387\n64770 97772\n56844 78375\n46319 91986\n50228 55104\n85199 99478\n63410 76690\n2476 93364\n30911 86976\n8186 33174\n27724 90120\n13333 80923\n12543 78560\n5815 31851\n26629 60241\n10229 36223\n35198 96492\n66696 79382\n33281 83351\n40186 70345\n41728 44665\n14009 68979\n2376 32133\n41271 86336\n46284 91827\n28669 60495\n2527 3552\n45407 77871\n2699 25597\n34734 88542\n74362 95211\n60659 98886\n36484 53903\n4745 70202\n2042 57270\n20973 21645\n35820 73511\n42566 92686\n30782 97057\n19963 94240\n64075 99495\n31836 78453\n68084 77178\n53749 83048\n4302 92511\n22211 92388\n69702 74803\n71033 78405\n24563 86422\n12035 83355\n10773 95807\n48488 67523\n39059 95079\n37947 93577\n16829 51292\n23607 32386\n20316 21493\n24605 27835\n50607 57427\n18944 62991\n69344 81186\n71082 87409\n47318 48808\n34539 88197\n60741 95206\n18762 53464\n47340 72304\n12111 65102\n11339 65560\n23315 68631\n29256 66970\n39143 56585\n10454 42912\n8239 29316\n7885 90924\n5701 31097\n33126 95966\n77012 80036\n10685 89333\n23544 82263\n5607 40498\n39470 48943\n11917 65967\n8333 79501\n27585 50092\n46119 70119\n54311 74860\n21667 49469\n13503 50716\n30141 81680\n41742 52067\n22705 91374\n15359 77672\n24933 77436\n15376 95370\n93215 94849\n34897 52910\n65559 75171\n52144 90856\n42242 72098\n7654 35771\n19660 91582\n9177 25714\n14540 74926\n59789 90116\n58475 60171\n82860 95712\n45371 62806\n16565 26492\n6442 84380\n19395 60069\n3352 72365\n62579 89396\n9187 12247\n70068 77459\n63261 93440\n18478 74912\n7820 66159\n70376 86457\n1475 45093\n16980 33515\n4107 97427\n730 35221\n53933 69471\n28218 40192\n645 37443\n11624 97249\n12193 18085\n11216 26640\n28197 76059\n10025 76201\n75799 94493\n40217 81280\n4414 32350\n21770 65182\n10842 68130\n16538 31701\n7884 60620\n71348 99458\n59274 90897\n49651 52216\n17254 64811\n22990 91793\n18237 61114\n85653 99375\n42849 53368\n35843 62406\n6371 23666\n22779 64402\n12570 98060\n34629 87881\n13136 40809\n76400 81630\n32265 71247\n22777 46659\n19864 88637\n76886 81028\n54384 73848\n11119 42609\n60644 87351\n6454 25831\n59800 88352\n2754 77654\n38005 81777\n67204 76030\n15360 37095\n7899 27011\n42023 46471\n54347 88295\n44549 71409\n29915 90144\n38015 82669\n34126 34930\n53182 74774\n32972 96809\n47369 60189\n72591 78426\n27100 87566\n28367 82228\n57728 86024\n5163 82469\n76735 87707\n1849 9962\n33844 43886\n34143 74288\n63204 79936\n21690 95590\n20719 86244\n41009 99353\n45034 47915\n2507 95664\n12629 61834\n69902 87353\n3213 34787\n4749 37969\n48544 91609\n80517 92875\n34926 46524\n56137 99138\n30223 80613\n48385 83183\n42050 91291\n5164 18539\n88673 98843\n67597 96419\n7949 55831\n50522 69589\n38792 93648\n50771 55641\n15844 99599\n26530 92060\n53788 55560\n55620 83630\n17728 38094\n9039 80706\n43434 63401\n19312 20162\n15728 72862\n51270 88426\n90524 97981\n15321 98907\n40180 64723\n28605 86679\n68831 78785\n986 36692\n55516 80092\n7518 98728\n67684 99486\n2895 18760\n60817 67681\n24314 61231\n25066 82324\n60169 98117\n10781 35657\n8702 96712\n84911 96122\n36493 74378\n28155 35689\n34494 51200\n7293 76406\n45508 45518\n58736 88564\n47516 86557\n31750 48713\n13354 35949\n1945 88346\n31786 89212\n9598 55031\n43666 73574\n23573 44840\n19370 36923\n49113 56123\n9314 46290\n77427 80676\n38083 49881\n1378 92713\n9070 13131\n52117 94263\n72657 95213\n31117 69832\n41123 63588\n42035 81292\n18338 86766\n10086 54679\n21659 46161\n23402 93258\n721 28903\n16566 56827\n22260 82981\n31510 94206\n43673 70920\n48391 89008\n13098 17434\n9341 38867\n20714 61033\n73539 98266\n35194 95725\n5698 49099\n30178 38013\n6200 15128\n37873 56105\n65932 68325\n31840 78901\n19272 58830\n1331 54697\n34317 96719\n33195 82080\n1805 21413\n52996 74326\n22371 89551\n16863 92521\n9763 88671\n23955 67473\n28424 74451\n56695 84934\n94551 97990\n6059 21967\n18742 24603\n31915 62153\n34244 55592\n43052 72983\n24363 39956\n21566 32735\n25933 28440\n54980 79413\n33743 49306\n64329 77701\n30012 81671\n29503 80075\n41067 68389\n85756 91646\n67985 95371\n75632 79838\n25798 98323\n8513 49941\n68214 96916\n4639 37930\n37425 76705\n21871 22164\n19982 28098\n12799 56140\n49000 58250\n59685 83579\n11918 82643\n99081 99950\n57078 75702\n23211 69858\n23712 81412\n71015 72467\n28510 68978\n4232 38640\n19449 60295\n2215 60377\n11378 80170\n54504 87766\n41679 82773\n45917 72830\n46854 48062\n8913 84899\n70389 99878\n50297 66415\n29509 80739\n69918 95400\n26945 68103\n22767 31500\n31881 43354\n13208 31617\n42207 97232\n20583 61850\n56949 83866\n4303 67292\n27218 50964\n19750 24607\n38372 81683\n16650 97518\n7410 56521\n34531 53384\n69052 82340\n50187 92458\n32911 57331\n35659 37632\n7461 52076\n11016 71842\n28796 83814\n26966 86500\n73730 87496\n26786 61482\n4249 9945\n14189 76768\n8561 86895\n5215 90218\n55300 69687\n82779 98034\n19832 71759\n62193 94657\n9260 39778\n34605 57058\n26415 79612\n23517 41560\n13930 86515\n20172 75850\n56853 97064\n18542 57944\n8530 82935\n1838 39168\n65243 89674\n30738 81944\n61543 65601\n66445 86860\n35563 44562\n29606 93026\n18774 83838\n39346 46154\n26846 35810\n16524 57768\n8456 60432\n22966 48282\n69357 79676\n52424 54802\n90589 96049\n29841 34337\n13036 46204\n9931 14297\n39114 69542\n60851 99132\n39639 76473\n24388 53709\n52775 64235\n83417 95268\n63451 78923\n3599 29931\n56775 61594\n16331 39691\n39184 71829\n55367 86932\n42254 90470\n1155 6672\n20690 67626\n92442 95559\n33775 69859\n29250 45648\n2631 22674\n307 51938\n18529 26268\n8173 99566\n25956 67484\n5701 42456\n32550 95911\n94251 98582\n12869 46255\n1024 64419\n30748 58493\n31867 67480\n8969 12317\n11588 66634\n6859 55706\n6697 13958\n71830 86832\n42071 88234\n89664 94973\n56262 66492\n32906 70343\n22697 75301\n3072 55496\n15190 21825\n62734 75138\n31546 92346\n3602 50348\n19622 32370\n51247 93009\n28889 56445\n52069 95028\n31626 43840\n6839 15487\n9718 26022\n41432 44928\n20281 84173\n34517 40524\n20646 77646\n60924 90092\n21095 28211\n6762 84235\n8369 21130\n7545 95328\n27327 84112\n15140 91775\n21448 45239\n26524 48232\n37130 72695\n63117 99634\n6358 48834\n26885 51565\n2687 35413\n65258 96521\n13202 86947\n40092 83005\n2571 94984\n52099 74319\n928 10609\n141 91991\n48528 50060\n34289 84061\n10664 84421\n29964 83983\n15370 22545\n11095 15532\n20681 55730\n48512 68085\n8412 88132\n3359 66640\n35834 90615\n2662 38317\n41876 99637\n25884 92105\n54361 77408\n42166 67803\n5487 23615\n49157 54342\n52481 77284\n40439 41492\n15342 42783\n2492 54294\n54979 69283\n3730 41944\n10652 74111\n3409 22954\n52630 77128\n21759 85495\n33916 85635\n44686 81455\n50464 54382\n17365 88608\n7876 51492\n1219 19416\n3375 18279\n3155 90545\n18789 51396\n4072 29358\n53075 75514\n34377 49727\n19708 99587\n42288 55906\n15367 88221\n17327 52355\n38829 77342\n14737 74954\n58623 95785\n12744 31904\n57091 87065\n47730 60531\n6475 22031\n13933 88233\n29569 45404\n51887 76880\n7969 50811\n63663 74658\n7222 91052\n45936 50591\n14300 73903\n58376 60335\n2620 45555\n14573 75877\n27187 64308\n31 33128\n32930 90380\n16504 47745\n67764 80487\n6671 23439\n73080 97039\n8688 33237\n21111 73076\n25161 73636\n45165 81064\n15648 98801\n5986 94638\n52718 82088\n53068 87539\n27849 49124\n4244 75463\n23144 46139\n50345 92184\n12937 95078\n43623 76850\n33811 86204\n51745 76579\n90607 92153\n57897 88941\n21568 94493\n238 58039\n7901 46567\n18508 60526\n23938 32674\n8257 81722\n2897 74303\n61303 70527\n3728 6150\n566 65716\n55993 90672\n16751 65881\n60162 80421\n10015 68310\n31075 86833\n80830 98314\n59903 69900\n28432 70670\n19357 20566\n47406 91054\n7677 22490\n8145 27607\n27576 70257\n71173 78055\n32561 63145\n71931 86457\n13918 19858\n9238 65861\n31548 51484\n8939 90264\n1259 4966\n29240 49514\n52963 98402\n7793 10632\n33520 53977\n63982 84412\n17645 81955\n16362 84906\n57645 97838\n20469 70184\n47512 88791\n4544 63407\n31056 92877\n71335 89908\n43050 78298\n54438 85837\n35741 37261\n74555 80156\n39924 41145\n75825 82591\n49100 85894\n14287 32001\n2139 78042\n12536 29770\n47242 70492\n4255 52175\n22511 43117\n12392 88148\n53095 68554\n2220 30942\n12644 20657\n5450 25253\n40527 80817\n9653 32735\n25986 72411\n70309 98939\n72227 90345\n58781 85299\n26121 97490\n19393 95365\n7364 26068\n22534 80464\n75896 77452\n57692 64317\n62102 99289\n50540 88352\n64583 65453\n6455 15308\n7612 71298\n60833 95105\n5114 11232\n40492 42273\n55026 71999\n23883 89782\n21703 96676\n35634 66789\n3766 25832\n50455 58609\n7933 18421\n40278 58137\n28689 98931\n37114 70598\n92396 94924\n1378 26292\n47067 88877\n6087 47221\n22285 61712\n13606 39181\n29195 58581\n17026 85606\n61540 83849\n2495 4311\n57388 75867\n1164 69686\n2092 44356\n70135 91211\n54907 75384\n43097 63352\n15013 52695\n42963 56758\n74400 83895\n58871 87434\n32503 54750\n9669 58171\n21322 24079\n5785 75009\n46399 98737\n14908 22273\n14777 41930\n39970 81829\n1379 45066\n28519 88427\n25030 55894\n17605 29965\n73612 92667\n21158 99274\n65684 83468\n24980 48813\n12938 98173\n37065 47622\n63850 67312\n33458 99947\n19662 29028\n44942 80592\n63591 88080\n8933 35215\n22444 69153\n38766 78677\n8991 17289\n10087 18845\n11224 82522\n30841 70092\n2164 89613\n19081 48537\n27224 98044\n47954 80198\n7535 11449\n646 88878\n42473 60216\n12483 61732\n26848 35605\n69574 72169\n41746 66352\n6312 58003\n32878 32896\n2724 25009\n2570 94903\n56861 95047\n52222 78011\n16537 32954\n12523 96358\n9113 28221\n26432 56104\n13883 60473\n41360 74922\n18189 92247\n42512 77722\n18603 25614\n28610 43015\n36279 79961\n1367 80733\n17789 72002\n48925 67274\n69518 81704\n57361 63052\n44218 83723\n3330 76927\n34969 46439\n11221 99429\n32154 87366\n21359 60618\n28942 72370\n45910 57460\n87520 94286\n81169 83723\n86033 98364\n75596 96796\n26308 59885\n3332 36981\n43144 79986\n63774 74996\n10448 46432\n63824 74587\n56665 62867\n975 51393\n36946 63245\n6541 24726\n1003 17735\n58025 67366\n31806 53811\n17923 62680\n5563 93395\n5207 92398\n18168 52618\n42061 45812\n10166 46511\n48210 95089\n67873 88056\n33531 89197\n56846 71244\n56689 81471\n64198 64993\n66469 96150\n7374 94671\n2444 68927\n27567 64304\n43579 54508\n21177 50269\n37876 57742\n38696 49255\n20362 39382\n58795 87702\n70715 99324\n24214 74229\n64 7531\n33910 60555\n29179 67885\n50518 88965\n34044 61039\n84697 90681\n73296 84329\n38127 42181\n5494 63129\n16728 57511\n31601 93992\n38883 74890\n58048 75883\n79807 94233\n48315 96899\n10044 75978\n9729 64794\n40250 40742\n48001 58254\n24969 36475\n34126 38260\n11221 60781\n55218 63695\n74743 76571\n48973 96681\n38165 52705\n61817 88803\n5839 92135\n25729 81023\n85176 97741\n49026 92561\n45579 60148\n75473 92705\n35458 44340\n43685 74713\n13376 71211\n17613 66830\n4226 26325\n565 13091\n41967 84332\n9143 64460\n77762 87962\n26227 77076\n79436 84744\n68856 85219\n41142 51431\n13394 15679\n3702 53209\n4046 55654\n75642 98085\n1642 31038\n13987 37952\n832 32109\n29579 74949\n874 93139\n29589 60933\n46650 87680\n12023 46854\n30001 95398\n36818 64982\n15129 57623\n61984 99702\n44082 98511\n20235 60726\n13559 31271\n47654 73209\n69303 92586\n45051 87075\n21280 25198\n61714 78403\n26159 49159\n11128 87296\n15027 91934\n51401 61400\n47326 48508\n25909 51234\n72109 92218\n26040 53978\n9545 26681\n28981 42533\n83077 99906\n76715 87815\n66005 91135\n82949 85143\n11838 27714\n23958 45290\n24543 52893\n8011 9750\n30325 60713\n59957 97619\n43940 66426\n57755 68182\n94844 95210\n19107 48421\n2959 78936\n37387 53164\n52027 63007\n76347 85480\n56291 57026\n17650 46671\n49000 82370\n21839 62106\n16147 21206\n9067 13427\n38854 43215\n17594 73824\n99 59214\n8010 12694\n19232 67931\n37053 65670\n24257 38621\n11002 92059\n61758 75382\n13395 43088\n62336 88062\n2756 56744\n6750 84049\n15673 83591\n22720 55985\n76907 91262\n16358 82620\n13149 95685\n11712 28177\n1821 27890\n40905 85568\n29657 74238\n66886 78978\n9435 57707\n84171 92038\n53762 91260\n71029 96110\n5223 64114\n7400 18749\n47575 79181\n9391 55333\n19577 77994\n45380 55630\n28552 95268\n32539 74998\n27621 58234\n53361 75897\n9495 37243\n44276 77499\n41622 87436\n56772 82777\n9107 80490\n2875 30428\n7008 74397\n42145 78353\n39185 80124\n75233 83040\n12715 33069\n18368 92882\n2645 96769\n22423 77363\n52370 98120\n31264 74582\n9167 88457\n38490 70327\n60712 90657\n29312 61778\n51253 74245\n74052 89794\n85821 92179\n1125 95135\n76274 92195\n23338 94925\n11321 77217\n17235 54973\n3486 29221\n6330 63901\n63290 74768\n21539 55074\n57437 86743\n36996 57375\n14624 65898\n64335 88853\n32249 74076\n39755 85535\n29799 30557\n20517 98954\n84254 92902\n4367 76557\n61175 82485\n4329 93123\n80884 92290\n5504 57784\n6415 75045\n75619 89287\n48682 86497\n92096 94303\n12065 85473\n14412 98196\n20267 66208\n18046 68769\n8447 32583\n32925 48869\n49400 73663\n12331 42695\n23111 47481\n12035 68050\n45242 84924\n51755 63821\n67955 85643\n9355 64655\n15280 80044\n5419 69119\n12560 78827\n6581 9979\n44125 82579\n97083 99692\n32256 88461\n85002 92295\n23152 89143\n68496 93991\n32362 38178\n15417 80350\n87978 94326\n77308 87869\n61463 65453\n2901 93966\n9250 11811\n3391 16657\n27013 33135\n15937 49663\n26862 50200\n39660 91275\n38048 51918\n20361 70662\n1663 28020\n56835 82725\n14223 63310\n54924 55863\n27264 40290\n288 88313\n7733 63230\n37843 76355\n83206 93908\n26629 82416\n50802 53985\n19990 76728\n54766 78235\n45817 58415\n6469 44422\n48315 76295\n22693 51610\n22931 76268\n59295 98097\n75469 93692\n51052 73363\n26096 90117\n18306 26139\n22666 51671\n21081 99224\n32587 53484\n21525 98619\n42206 57569\n23021 67793\n37833 91155\n25903 73881\n7543 21639\n19231 29832\n26881 92834\n69281 84347\n48631 61838\n36473 52890\n2533 61425\n2227 95193\n8027 60179\n35037 72895\n10850 73006\n32450 81468\n40866 63576\n11871 88484\n50258 68739\n2550 17467\n28054 66428\n24402 88665\n61166 87404\n39201 53547\n28278 46734\n78197 91346\n14949 35844\n23992 95380\n1832 2569\n18960 82157\n4602 95099\n5990 31500\n32713 57768\n47474 50332\n36773 86353\n50390 74769\n20634 89754\n25574 56695\n3686 61475\n23607 37898\n2417 59270\n31431 87381\n16770 37721\n5640 68754\n37068 55811\n20103 39081\n21068 25992\n49374 54561\n7328 9758\n53234 64437\n30104 82820\n14521 81396\n27283 92468\n66555 96162\n36243 89627\n50308 87461\n52026 62596\n81699 83988\n14786 76545\n69875 88929\n24115 69043\n6581 79750\n61948 83019\n587 5046\n13582 61773\n32795 99605\n4387 9109\n71502 88886\n40496 62021\n76189 83738\n58354 92261\n4525 16312\n67175 86972\n76675 77869\n22239 34998\n70306 95611\n20370 80927\n41011 70404\n51033 73735\n19857 49781\n42047 68174\n10362 66964\n41927 60880\n6221 7285\n342 31923\n276 35535\n57036 57203\n8513 33297\n84084 92026\n45445 65671\n27149 52272\n21902 75028\n19862 38941\n415 88392\n61288 97594\n25117 57892\n28766 91889\n63314 84657\n46432 55574\n12458 15013\n7390 59225\n15135 95893\n44203 99959\n63878 96695\n26449 59184\n82034 94437\n42964 99528\n80843 96389\n16709 52426\n92735 96419\n11332 32741\n64717 71135\n21378 69613\n23612 62609\n8757 35139\n20169 27635\n19200 59101\n80925 87135\n5303 43330\n37419 61351\n23420 70731\n3989 39289\n18184 56131\n94237 97407\n9611 58685\n16690 95671\n56768 62496\n19022 26140\n3553 4056\n53319 88071\n66556 68138\n1142 90707\n22970 91867\n24088 51174\n46501 97567\n91557 92621\n72403 92090\n59794 85467\n68147 87660\n78948 93352\n18061 42152\n50892 57190\n28193 81604\n20613 77676\n28708 96861\n30636 31054\n23122 28168\n16023 59861\n79217 81689\n40076 72669\n50239 53034\n22053 24109\n15563 26189\n48323 78522\n38665 74793\n10229 61869\n47606 66362\n614 72506\n28703 82749\n10041 54315\n49094 99938\n24686 47846\n78443 91853\n18888 64792\n70376 80021\n4981 7823\n24419 72603\n36383 63176\n58002 86294\n46345 48201\n61012 94779\n11003 48669\n25939 82650\n52529 77474\n2862 47719\n6124 52144\n2848 78848\n12346 66370\n11980 43522\n60222 86991\n15198 47045\n5664 15712\n14362 80574\n44655 97588\n31194 60060\n23009 92263\n47908 76002\n66805 79629\n1572 56869\n1788 3886\n8103 8627\n4666 13122\n2229 51706\n3832 45076\n2583 81458\n50331 78145\n4583 49143\n852 89196\n24683 44697\n58942 64074\n786 13302\n7119 78301\n35563 58098\n38391 42307\n34913 66069\n12957 39143\n28657 56997\n12214 71723\n52737 98786\n55952 80677\n18547 56700\n33098 62891\n56886 65961\n10314 78582\n45959 74754\n29162 42596\n59584 91249\n15773 76295\n4852 67145\n26881 28650\n88463 89623\n67155 78694\n25961 87547\n7634 66245\n10839 87424\n51132 56580\n20675 65981\n25792 60437\n66454 73281\n47098 50256\n20469 78975\n38314 45271\n13577 45292\n18336 83298\n17439 67553\n30388 94120\n21222 75234\n88152 91285\n4007 64980\n26268 81046\n30144 89856\n51955 90545\n2664 84973\n13453 57867\n24605 90960\n58233 59820\n2677 47536\n35364 54635\n21154 23833\n22871 43648\n58438 99447\n3486 73086\n28997 49924\n24696 95732\n12425 87519\n15483 27095\n24340 48177\n58126 74407\n29671 94554\n37952 64372\n87323 95069\n55766 69789\n4911 59859\n8905 33948\n46501 92797\n44046 59458\n5290 95782\n67458 93111\n32600 76990\n27311 95809\n15930 16466\n36262 68413\n47599 77002\n11213 62417\n46268 50351\n13479 62795\n8040 78245\n2358 47593\n14303 50402\n11398 30684\n46930 57982\n86327 87025\n665 7973\n69584 80357\n40462 72129\n15681 38811\n6377 9989\n13587 41145\n32653 80270\n18326 92854\n46288 75175\n1614 40175\n78571 82210\n43550 95514\n78621 96056\n57942 73281\n26478 44127\n5916 85540\n18522 48603\n4133 95371\n89474 96628\n4569 51663\n3976 21364\n48215 74034\n10498 48911\n80435 88759\n8412 52486\n20837 85907\n22994 69609\n61877 86904\n52329 56748\n39803 82682\n21765 45882\n26165 75858\n38196 44915\n39201 59657\n77934 88605\n2784 5959\n39640 88743\n8812 42759\n59975 66142\n29733 90322\n82489 91799\n50621 81303\n6152 92977\n15830 34402\n626 96915\n45947 71777\n40568 65900\n50144 91575\n31065 83165\n14121 27003\n2532 61303\n9576 49639\n3240 88405\n10252 77812\n8929 71506\n14756 31235\n82293 87152\n270 77626\n51468 53881\n21600 55855\n41267 65766\n58645 93451\n14879 56426\n46252 67263\n30739 72639\n40656 59656\n61879 76701\n8936 90537\n60306 79657\n41759 50678\n27682 37072\n5171 97508\n35053 76692\n1902 20451\n50318 51435\n79879 88811\n49412 68797\n20908 94718\n20136 98499\n15496 97264\n65235 65248\n2625 80055\n31033 35499\n45993 75386\n10091 93308\n53193 54702\n2249 59114\n20262 47418\n26291 67665\n37415 56136\n74097 91258\n39437 95306\n2182 18018\n27578 64338\n12434 87550\n55347 55378\n34946 86575\n91491 93673\n16075 76049\n13062 71760\n14401 95609\n64613 76394\n16823 37093\n86796 97610\n35332 83168\n6888 80913\n44234 63061\n10765 63258\n7349 19306\n35131 45104\n62186 67755\n74416 78901\n6905 65261\n36357 82147\n7255 8544\n59533 76420\n7812 60486\n9900 28293\n2042 64538\n34903 76324\n45409 64739\n16363 88975\n27455 85792\n11676 34804\n12332 18306\n67535 84288\n62221 95871\n41729 84048\n1453 21355\n20972 67752\n18148 24596\n59745 78847\n47683 94807\n17182 46671\n37872 42694\n33638 70365\n65604 80303\n6797 18236\n18486 24885\n595 4305\n68208 95917\n24400 25548\n36907 80804\n56702 65020\n43019 82575\n17806 38575\n20141 99837\n12709 52511\n57718 65047\n72812 96085\n16595 91693\n31795 69191\n31712 66613\n71875 77988\n72207 80317\n39865 97154\n44962 87768\n26385 96859\n24220 53614\n2404 60225\n43050 92281\n10044 64275\n4227 76671\n30705 89043\n61327 74949\n12374 30520\n31801 91174\n69233 85922\n49402 79798\n325 6065\n35162 65637\n74343 88094\n63266 68722\n41172 56627\n12884 89616\n16799 56325\n21155 27118\n51064 63483\n55826 98699\n31954 38023\n26261 81815\n22255 32212\n54047 59180\n32526 59469\n20088 45127\n44911 93206\n9392 63884\n43873 66993\n58113 69132\n16431 39191\n11769 84424\n32871 35339\n48046 91652\n13053 19356\n48502 91682\n82885 88128\n72059 77547\n92724 94519\n34252 70526\n77108 82265\n25044 72982\n7849 38896\n11224 62977\n63263 96775\n58444 89829\n24110 52324\n10575 40856\n29598 42184\n58489 83403\n15351 71678\n37165 48398\n32654 83722\n10476 93409\n42555 97771\n29162 30372\n29915 86440\n40112 61041\n88686 89121\n70595 75394\n44749 68037\n20856 55881\n70008 91145\n40320 44559\n55075 71550\n96380 96915\n67868 72758\n5160 18241\n25610 95338\n65087 94659\n52560 89764\n36424 65430\n20760 75909\n55232 83302\n33693 87726\n45891 87285\n8420 36810\n27339 36581\n50252 59724\n15278 95275\n85984 90988\n14692 24324\n31395 67233\n12445 27757\n4105 90553\n69691 99201\n13672 69032\n2244 87787\n10460 51187\n18508 80971\n48099 61044\n17510 92059\n8019 22478\n15327 91395\n35185 49186\n15853 31627\n11331 86644\n23748 72342\n4371 48807\n46692 82427\n21266 39264\n3951 97694\n11208 26718\n3802 87972\n9400 9822\n82259 97289\n72915 85124\n36074 90835\n13817 54903\n12883 46741\n22361 30875\n57565 92353\n80719 96191\n48290 57135\n17673 65617\n14819 64254\n42156 96826\n10718 17125\n57960 97091\n38278 54214\n2988 82151\n10458 28963\n57009 95866\n18913 48870\n39034 92226\n78414 80880\n11915 50412\n86384 90466\n17321 62711\n9707 14868\n12817 32127\n65444 65727\n25731 40865\n3383 68157\n59783 87561\n50501 56756\n95062 96781\n12119 80635\n30753 59091\n24198 42629\n68652 96757\n47605 87722\n6769 96162\n15156 86893\n20048 51316\n4953 54835\n40260 62097\n4462 99011\n14971 47519\n34781 51039\n88336 92768\n13293 66780\n67160 73250\n57398 69610\n48258 92090\n16996 36211\n44818 94807\n17321 55618\n62215 73605\n38344 84752\n47218 78931\n77326 81235\n43883 53984\n20942 86921\n33451 37429\n7504 27561\n9784 49842\n31503 86257\n93238 97676\n44964 56333\n82467 91360\n25753 82967\n19945 35453\n78192 97328\n86626 99362\n9570 99092\n28317 31968\n85266 95811\n20146 93999\n12720 22255\n1963 59484\n58613 99806\n6899 13773\n72811 87064\n62805 73324\n52757 80914\n39541 52533\n32583 54535\n17449 29916\n15548 86093\n42172 75058\n35496 62664\n16274 67845\n21268 39121\n4161 60532\n52977 63331\n22542 80915\n6374 48646\n42762 64871\n29700 62992\n25833 62161\n58050 93616\n2429 81553\n87392 94726\n52591 56738\n52632 68841\n27626 97815\n68058 80482\n14556 89559\n1378 47003\n13305 44405\n89865 96165\n3595 57735\n25105 90041\n25388 80971\n55112 84349\n10252 34620\n57484 78960\n10807 93727\n74729 98760\n57784 58073\n72619 74588\n7048 82801\n12706 55890\n75882 82164\n37058 38863\n22159 55745\n47479 78695\n10408 97811\n33642 71347\n74030 77677\n9220 94087\n61319 76423\n39037 44548\n17807 77364\n48517 56815\n35837 57675\n4560 8515\n12843 54224\n50332 54905\n70012 94520\n30708 38667\n13687 32102\n14734 79275\n64604 76392\n5931 79102\n9313 17326\n41721 93014\n7091 92624\n46791 89398\n56381 91171\n17308 52392\n25362 41405\n19629 25998\n36289 72040\n44873 45356\n14067 68042\n26424 85590\n88186 96110\n77442 95031\n56034 87135\n54551 82863\n50493 65042\n63495 76507\n10393 14363\n28 41422\n29342 90734\n3242 80950\n30952 97002\n21118 51666\n1956 18701\n71902 86739\n87925 94285\n17008 26942\n21478 46629\n34932 64984\n34877 80983\n14399 16979\n43187 62734\n10532 87567\n15602 84691\n23433 36239\n22866 39858\n12149 68530\n51628 66450\n8918 35136\n50219 84163\n13267 51146\n35989 72289\n62108 88432\n14353 68512\n9844 58598\n21676 38120\n55523 88847\n8915 64270\n42995 65205\n7963 29544\n21538 65376\n61991 76155\n931 82140\n9829 24208\n15874 43296\n67370 79822\n28594 72437\n42311 61260\n39872 91230\n65809 95112\n49471 74009\n41915 85888\n7162 40144\n38524 80487\n49232 90189\n20897 67877\n17283 60474\n7965 65266\n75420 99878\n37691 77054\n41461 57743\n3447 7865\n43814 87020\n87879 92195\n71364 84019\n741 31522\n57244 98254\n25686 41011\n11458 14086\n36127 46404\n11892 52679\n5831 95027\n88779 96550\n24193 70052\n81133 93840\n77366 87702\n53683 74225\n42316 97189\n2688 28420\n2698 58542\n34091 50064\n19138 61274\n67849 91368\n20899 31089\n57244 76137\n65860 84061\n61261 92237\n10651 99613\n6888 98191\n28956 80617\n2490 69922\n30438 71666\n59468 63360\n2879 85107\n47858 55081\n76817 82345\n15986 80358\n12979 90231\n38821 90270\n43837 78908\n1125 11338\n56811 85750\n20366 47818\n4108 96451\n79597 86028\n6687 59677\n12400 72544\n3648 42709\n10662 59412\n13673 72824\n502 26076\n14593 86140\n30916 37522\n46769 80648\n58398 67701\n47918 65791\n21335 91973\n10677 87734\n5173 91199\n26140 29084\n36671 46262\n6031 45941\n26623 45034\n21804 83616\n41382 76188\n14126 30645\n6440 48500\n52286 80728\n13112 73391\n12142 91690\n6610 12091\n50944 52913\n29334 66432\n38086 72487\n42288 49685\n4107 52678\n18733 18943\n45478 92928\n55509 61449\n33735 74380\n4706 26896\n17888 45730\n30122 90097\n29368 58469\n19549 97550\n20741 26896\n2892 52365\n25231 68301\n29584 85387\n45837 98553\n17035 85811\n27498 65599\n15106 79713\n62091 83239\n20931 38952\n14669 51180\n53305 98684\n48129 59544\n668 679\n74664 77686\n40091 80751\n51289 88599\n53915 62237\n3864 46945\n10683 94056\n36618 56514\n21872 31509\n56731 97359\n29032 89132\n40182 68602\n8998 31491\n4304 35794\n53053 98042\n71389 87309\n24811 76274\n7163 72235\n32601 96219\n10873 55386\n13329 92388\n2647 47931\n1726 89340\n11278 88441\n49090 80019\n10438 26889\n26584 62836\n59309 68407\n5767 85199\n8621 19432\n18545 98140\n42491 53586\n13437 82056\n8115 61243\n49776 68932\n1215 34815\n21651 61256\n46819 76386\n8466 69698\n58424 85168\n71904 99216\n15694 81516\n555 44886\n78887 82654\n26454 93887\n36605 57098\n4925 89488\n31475 78423\n65886 89990\n26818 55880\n58501 79149\n18138 27593\n37420 64591\n16093 81271\n39295 98290\n39962 45592\n218 37194\n20968 52330\n11991 69229\n22936 88562\n8284 40979\n8131 60810\n23975 97221\n17603 20114\n11705 63172\n20760 79959\n21866 31964\n18731 81229\n25489 42495\n19193 54092\n25004 62447\n18056 58566\n22356 76973\n53917 65878\n69752 90339\n17258 29753\n28681 30629\n2565 75925\n82390 83239\n62937 95951\n25488 29273\n20042 47287\n19466 89903\n14774 87574\n65166 70638\n70723 74516\n2481 42646\n20019 22960\n34734 70322\n46131 51759\n42884 78224\n24161 49057\n14250 73870\n82858 92958\n89825 95431\n51877 73712\n22805 77498\n52520 97640\n57378 80558\n11606 31676\n22137 93529\n55387 62734\n54235 80151\n55792 92359\n6013 80863\n47311 71912\n49204 71042\n2563 43789\n36780 62783\n51308 76217\n24085 48269\n6136 79659\n2668 60223\n12429 64718\n32579 57382\n18554 53893\n18599 74368\n38130 64031\n23157 88714\n60062 87398\n70055 90161\n23336 62158\n17627 78986\n14256 74425\n13266 29073\n38156 64921\n42051 92694\n27419 33410\n84089 96782\n22242 73804\n15563 60130\n7840 15484\n1801 61253\n10750 23714\n54272 79999\n22793 56816\n81488 89740\n45259 53791\n50629 98108\n20067 55501\n20531 72321\n12205 60295\n51025 72648\n4226 56920\n69675 91714\n32433 90522\n78938 83111\n11605 81688\n11471 67287\n60297 94315\n15875 62849\n69177 75748\n30949 68917\n19063 67185\n48469 63736\n30140 66345\n27204 53199\n44882 92705\n39990 45627\n15256 94732\n64939 85123\n3506 13880\n5824 38833\n7391 20610\n86000 90866\n52698 80335\n47743 95476\n33326 87388\n6105 64446\n9889 23513\n36875 99132\n20761 73915\n22704 38070\n36478 92858\n39517 95051\n31171 67574\n41168 54955\n73361 91481\n56556 60783\n27005 28750\n62599 65035\n76232 92553\n49806 99807\n15746 27617\n63843 83859\n78730 90929\n31587 79422\n46604 51308\n18814 71525\n17646 93481\n152 78709\n70196 76782\n30368 92856\n17935 64370\n1390 33876\n13684 45196\n24762 66361\n22236 67768\n1003 35635\n56345 94184\n13982 78659\n57471 73932\n13502 49038\n33648 86839\n20636 38091\n3905 50839\n13181 95167\n74071 93184\n7200 89941\n27706 84671\n6568 62572\n15147 22292\n55230 65057\n11820 51432\n33927 96805\n13126 35177\n58247 97351\n1049 39186\n24182 60571\n25859 67370\n35895 43536\n6039 88121\n8258 87643\n47983 96541\n49942 50452\n55468 58730\n20688 63469\n67690 85745\n89569 96834\n21659 85638\n72988 99070\n24950 87827\n14401 86340\n44999 79221\n53429 68823\n1767 55729\n73493 76688\n37513 99383\n78850 83233\n15074 32209\n53511 83772\n10457 23125\n8315 48462\n17644 90462\n84179 87546\n69504 75273\n11796 48048\n3867 76615\n33461 66396\n8015 95986\n26193 42462\n8400 8889\n9906 43568\n14618 76409\n54486 89084\n46585 50819\n22691 98751\n33835 74406\n53703 89721\n37461 39702\n34355 34740\n15057 68454\n31776 90859\n63632 85183\n35767 96693\n71508 99084\n10846 66949\n42820 89817\n12093 30269\n24755 74101\n14836 33138\n27764 28460\n63108 77855\n6294 49583\n25538 73099\n19858 37820\n21684 99149\n54115 58055\n8742 93045\n45739 86708\n49502 61712\n25657 96920\n50405 82254\n41816 63651\n7859 76688\n28490 68144\n42584 79261\n3515 19314\n31554 56910\n17485 66930\n35320 91973\n18537 29444\n20790 89623\n33769 65500\n32736 89759\n27364 66442\n29558 42853\n50929 52852\n48533 81846\n9988 78563\n55182 58540\n22978 71437\n24533 62327\n61685 66371\n18165 86008\n73831 74753\n27260 72615\n8851 17030\n33952 86436\n7869 96456\n2534 17485\n60639 98042\n43692 49212\n15118 46157\n15067 67162\n13744 90904\n14811 82999\n10536 46359\n70529 73633\n1333 66961\n10030 91789\n34379 51992\n49588 53842\n94399 95843\n84462 85850\n1911 26244\n49185 84705\n10770 44622\n23625 97392\n56600 77999\n3285 25329\n10411 44293\n20934 27737\n69167 83754\n11136 68925\n46277 64454\n3194 30489\n6142 53083\n25004 43965\n32511 47498\n87066 88497\n6232 48325\n58150 77208\n9365 68049\n6396 18672\n7844 82325\n47947 77659\n18028 22909\n45270 78290\n46206 76447\n41671 81748\n80866 96191\n74072 75458\n19696 44712\n12989 61997\n41603 65249\n55545 60533\n21617 80465\n22650 78973\n50978 88613\n18502 25807\n6042 86789\n3695 35240\n57417 59352\n19963 71715\n31740 32559\n29959 32338\n37766 81164\n44505 53646\n11886 58842\n14435 36608\n19797 27413\n69007 81403\n57124 84683\n6189 31410\n41929 59117\n97736 99591\n41368 45512\n19749 75803\n31919 79776\n23659 48443\n7537 50709\n18269 48304\n74434 83792\n12478 19403\n32645 63588\n83053 85363\n12228 25520\n35546 38283\n19338 48083\n43382 96089\n16275 47580\n4323 57616\n437 90821\n23116 35387\n19236 71352\n12168 14146\n31640 72955\n14575 24361\n44267 56344\n41847 94454\n65788 97403\n14240 51659\n5495 58574\n6367 90842\n11535 73488\n70973 90308\n81899 91154\n12540 66248\n40340 62551\n27720 95922\n75100 89726\n37504 91534\n3043 9368\n6306 25150\n10552 11416\n4965 79527\n13026 61034\n23934 41895\n42290 55319\n73533 85500\n15878 52006\n80754 92489\n17982 91863\n6324 77830\n49929 76132\n21782 82954\n40630 83492\n52144 61375\n25801 27046\n88896 95886\n32344 57196\n10511 51598\n804 2150\n74522 82174\n23423 96566\n71081 93380\n42219 56372\n13256 41986\n50932 85658\n84778 97778\n41759 97437\n8146 56289\n75077 81077\n63026 71008\n31619 39267\n16924 65411\n31282 94199\n71488 79262\n72129 86990\n55760 92396\n7020 68741\n28075 79111\n6718 72196\n21684 68494\n41241 54753\n13790 90800\n4571 91730\n3993 12512\n51174 52141\n83904 98029\n48647 75113\n11193 14992\n75935 90056\n17167 51514\n43045 95854\n40857 80079\n11888 27230\n34284 39810\n21213 45123\n65746 88689\n82126 85962\n88245 93963\n22361 39838\n25162 94688\n31128 52561\n9417 99208\n47372 98768\n11626 28933\n85344 95258\n23898 71396\n14541 32295\n24263 61952\n14330 55760\n38767 60552\n79890 88759\n58929 70220\n234 18842\n10531 59178\n6001 25687\n36490 82160\n26275 39448\n48998 54798\n32973 55501\n41485 44276\n57360 68101\n75948 90677\n48760 64022\n76600 82595\n6452 16701\n39277 84054\n51209 84964\n7430 46346\n29378 97219\n19708 83167\n41702 73282\n6465 96956\n1166 76172\n7952 88395\n60483 68028\n18168 97963\n30331 86054\n41995 46274\n31521 41252\n22198 95936\n23035 67077\n54811 87476\n31488 66931\n34919 63071\n50388 69817\n9292 82621\n2341 24168\n50660 88147\n7856 93266\n40952 88842\n72629 92731\n33225 71799\n25618 79415\n54633 68997\n40661 62176\n56588 63161\n89996 95236\n34207 55053\n1660 52827\n6618 82414\n14213 53907\n72292 78219\n74835 82495\n6187 86068\n49536 72654\n62097 88168\n21088 37717\n12329 59006\n65166 79648\n15252 39551\n5534 91179\n57936 70330\n45143 86341\n33386 60092\n17872 73353\n31093 42152\n48060 84213\n22389 74888\n67438 99047\n43330 53049\n83152 94635\n32378 51755\n70382 90297\n26006 58042\n2891 39002\n46125 49906\n31429 37784\n71791 93883\n11158 73836\n7800 31769\n74471 85038\n36403 38519\n45936 96573\n10596 74528\n1421 35501\n23455 86208\n13388 30895\n58518 82214\n68799 85302\n85960 95144\n63569 70724\n76456 83189\n57516 85092\n16852 86710\n51338 96192\n80208 90600\n5613 9286\n10851 95755\n2344 83348\n57941 60862\n23406 92408\n16789 37653\n71342 97067\n20680 63343\n24901 91128\n22987 92452\n27567 99108\n23491 50502\n30843 88102\n68898 92188\n11662 45306\n31812 54031\n694 48171\n4669 76557\n20438 49889\n58505 99664\n8623 65844\n25750 92300\n27751 38441\n29031 58298\n35673 95044\n9403 32775\n22304 37894\n25732 75156\n27959 86975\n5223 60649\n28800 40716\n8474 37136\n34534 66367\n6822 54089\n34002 34359\n60519 73216\n18033 61423\n24471 83542\n18571 66368\n31861 96636\n32058 50624\n50186 62298\n16152 49421\n28817 59646\n76029 78230\n22328 81711\n15318 24161\n67133 75593\n74259 98416\n13621 39863\n19225 52010\n22267 22421\n77107 77313\n15597 31332\n22461 61154\n43277 58832\n67435 69161\n10553 26210\n18255 58500\n11073 57730\n15821 69703\n50351 95438\n56965 78994\n45794 99926\n15120 39036\n76724 96415\n45052 56122\n64035 72901\n24559 76569\n34524 53117\n44058 96712\n35851 39689\n32905 88106\n16726 32080\n76502 87928\n426 86470\n48890 87873\n14135 67217\n14858 70617\n50630 94983\n3700 65975\n43679 99902\n74040 75878\n18062 90086\n8056 73855\n9740 27604\n16385 60891\n78778 97584\n89950 91137\n42614 48215\n72348 82781\n32588 75063\n31837 83578\n2386 3457\n54244 92961\n32654 37161\n55923 93298\n6016 33056\n11891 47357\n52406 68845\n57287 59115\n10528 69315\n10530 24989\n41385 84066\n44068 53042\n1869 72684\n73491 73608\n42101 74423\n69115 71240\n68175 94637\n68910 71713\n34893 37816\n52046 77989\n24993 41885\n15443 40826\n32855 80305\n31524 41847\n15387 44590\n54885 66435\n12709 83842\n19169 39986\n25333 60982\n6456 49763\n79605 87124\n25838 47258\n70 43151\n10177 11178\n5696 97823\n7895 81303\n3426 60980\n56037 98217\n68620 76830\n7645 90951\n47826 71004\n12586 32931\n19381 81651\n8308 77351\n10657 67006\n9083 36163\n1079 91441\n16633 76749\n83192 85282\n41310 46045\n45329 87823\n31656 53022\n48742 50612\n981 80211\n53710 69079\n16856 97024\n15032 59184\n12778 58176\n49476 57818\n10694 94740\n50423 53559\n45493 76486\n12774 37139\n71098 83123\n37555 61718\n19181 57478\n27297 33553\n52982 80234\n8049 90196\n40346 61535\n24273 65912\n54894 66461\n43438 99857\n67271 73828\n57301 84838\n18179 53249\n21681 38145\n38635 45180\n88083 92555\n75910 89242\n69008 79292\n57541 64581\n31535 68759\n24045 64025\n247 36155\n43486 55437\n6030 56935\n6686 97535\n8814 18842\n77517 88057\n35131 89967\n8333 9318\n6188 73643\n34303 94245\n29518 85196\n20877 85714\n37155 54601\n7343 99802\n51902 78405\n80091 80951\n41781 45840\n30041 59251\n633 21422\n35614 57261\n28057 56449\n4040 70152\n2110 42824\n25310 84912\n9149 91829\n11560 82988\n5658 21337\n59465 97206\n39945 68480\n41857 62074\n35857 57382\n716 83764\n10060 24084\n17540 36128\n9878 89758\n32358 51385\n79624 98285\n25940 57624\n41587 97481\n83163 89212\n85173 91721\n9499 91107\n903 48718\n12800 52617\n25533 86731\n10823 92526\n38791 56652\n41698 56116\n80093 83630\n55453 77979\n23774 75143\n42885 61743\n9528 45285\n54468 65647\n33189 61072\n53730 80653\n60832 94507\n8754 34057\n6365 31176\n36361 39905\n7389 41225\n24927 52357\n12899 89276\n66140 70163\n50398 51607\n12076 66712\n7358 99983\n13550 47534\n78904 84073\n84594 97065\n58279 93145\n56141 57789\n42244 86919\n56849 80283\n19388 67577\n34146 72319\n28218 69951\n5173 22648\n46821 89148\n31561 79554\n68986 95197\n43444 55110\n46221 73921\n1077 9629\n7634 60410\n26033 74027\n3309 38391\n27578 62609\n48754 83559\n17863 44819\n16438 25843\n8670 40884\n78223 84811\n35970 55469\n42113 60714\n36219 49627\n14907 40677\n54030 54836\n3337 23606\n36203 94233\n40446 66207\n3635 56378\n62522 93590\n22298 40986\n43863 93121\n9052 9653\n66123 68534\n12047 17983\n10827 91355\n16831 30323\n24791 83544\n20743 95174\n35519 83265\n2801 76957\n683 25617\n3771 73629\n15732 99089\n54141 57420\n56820 71426\n44516 94692\n85238 93946\n42294 96574\n34518 57683\n69545 78178\n80048 99786\n34609 41690\n59312 75926\n5768 31607\n6495 78656\n43486 73227\n63932 73798\n44998 97734\n17588 53438\n32918 95889\n85557 85574\n17008 17283\n27798 59704\n19336 62493\n40975 61780\n83051 87235\n17438 77245\n11752 81744\n9740 52269\n13271 62633\n51359 51968\n44227 72414\n41882 82231\n85913 88286\n61019 78579\n26450 49320\n55242 93742\n6929 92721\n27934 92660\n62078 94583\n16581 32831\n26552 64377\n14169 73424\n43990 62919\n31683 44116\n33445 48075\n23883 65594\n12028 87341\n16814 81268\n16271 75727\n45135 51366\n72179 81176\n2596 57211\n76183 88405\n44492 87487\n11875 42391\n43936 45756\n22100 48971\n52612 55635\n24170 29597\n17190 90988\n63700 77648\n35129 77258\n18753 40118\n55408 80444\n4790 58903\n41700 51808\n57648 90076\n36222 88948\n17485 60975\n21888 34168\n11335 28431\n44279 68774\n91487 95553\n49189 57250\n12519 56547\n21487 87722\n19184 40816\n30843 72244\n54231 92835\n2331 47096\n39984 91107\n37627 57984\n37400 45216\n5509 88031\n14579 59858\n9143 29166\n48393 97883\n15620 98904\n30923 89505\n26523 94291\n22820 78428\n42265 47627\n42769 66797\n64729 85978\n39054 84390\n42960 98852\n59718 84000\n78001 88368\n59695 89530\n67594 92102\n30505 46634\n23295 74666\n23768 95593\n79319 96832\n42688 54818\n18055 26734\n70445 75880\n47469 58356\n12454 25449\n35333 76531\n27510 64774\n9287 9899\n33729 81471\n19366 82114\n26394 75590\n26812 76159\n38893 81303\n56218 69096\n13081 86572\n1442 26172\n7579 32899\n46788 86230\n79135 93756\n15265 52151\n36146 98271\n39422 49545\n42000 78528\n11864 74348\n20816 88375\n14398 16034\n74265 94329\n17019 34021\n46503 60181\n43205 43645\n86852 93176\n24894 48871\n10572 22102\n48635 66512\n91289 92229\n19122 93955\n34393 63587\n32293 65818\n43610 88165\n31803 54140\n5132 38070\n5514 42172\n78229 99053\n10404 51954\n10580 18640\n63708 66314\n30660 65225\n15942 22692\n12814 40069\n10091 53282\n3806 92421\n71052 78298\n8888 83309\n11534 85376\n31995 46635\n33140 82166\n16078 81113\n45673 50942\n14668 76177\n3404 5879\n76019 93584\n52945 74734\n53088 70807\n74278 95303\n44596 99807\n16665 81935\n684 28340\n18454 30749\n52254 84939\n25797 37984\n33038 34597\n23813 60762\n70015 74775\n21866 94427\n35392 53080\n36840 80338\n30856 37306\n76052 87216\n29154 65838\n28180 74531\n22193 56096\n17895 48049\n10083 30957\n85448 93550\n64377 65120\n16251 51936\n18806 63023\n4013 77449\n2328 91046\n13639 63638\n7565 27036\n7803 53755\n21288 76605\n16691 41077\n8845 72191\n24612 82839\n39304 67670\n34880 92647\n16032 56659\n41579 99204\n17688 97696\n982 63324\n54808 62505\n5033 93617\n17163 79730\n15464 72523\n50498 73239\n28444 85399\n32176 75554\n32616 35719\n34350 78065\n34887 69256\n6379 95783\n40909 86028\n15418 46379\n74632 88857\n89377 94680\n36417 92970\n4145 74519\n72995 89034\n14977 36073\n21293 98741\n23246 24080\n4657 64226\n5770 8918\n12716 29237\n29872 46036\n12852 46940\n47670 82758\n13041 69579\n32805 69247\n8054 55636\n17049 47896\n14463 98070\n38666 60600\n55366 65755\n65181 91326\n52405 54913\n59583 62708\n48948 68382\n49426 63853\n24659 80512\n31099 44507\n17228 75271\n14209 68064\n5476 92712\n9129 25878\n36950 43691\n57152 60522\n8391 99323\n27195 39097\n43135 58331\n75418 87083\n5661 8328\n71609 80463\n44759 69107\n60768 95342\n47441 86749\n24804 42966\n1025 58034\n9370 24439\n11865 42815\n24912 32816\n25671 59332\n20220 25815\n16948 66359\n75273 78191\n47152 50369\n50070 53145\n40633 47392\n77010 89324\n67668 94359\n32330 72138\n67242 83794\n17246 43682\n3354 77588\n62495 96561\n3479 54328\n22391 65107\n29637 44141\n42980 79090\n30603 35171\n19876 82355\n55523 56076\n21950 37645\n26436 79417\n25751 87711\n7005 96251\n46453 55825\n3577 92429\n12361 94496\n71398 74480\n30258 39351\n2451 72981\n34659 68459\n59067 73803\n10835 99005\n259 32008\n978 25662\n48193 51805\n56846 92402\n186 83927\n7088 73543\n39208 58533\n18321 90755\n46023 72181\n21611 30859\n85746 92774\n14843 60734\n33125 87024\n13350 54222\n13721 69316\n64901 77588\n1685 50288\n7114 25379\n43734 97106\n82218 96872\n64240 87039\n30046 31930\n41193 99197\n16268 23450\n15431 51047\n42601 71832\n56723 91056\n39140 39278\n9378 50952\n51614 75777\n21153 27959\n56341 57144\n23627 49359\n41209 52884\n31879 82820\n17665 30966\n17438 71212\n12355 39329\n20820 92620\n75087 76299\n8641 28697\n81698 96251\n2104 33194\n52026 88507\n14240 83322\n17821 48358\n59154 73749\n37735 42505\n5612 34052\n63514 87394\n42046 69922\n67962 78456\n7975 97386\n27585 87156\n85551 89940\n42716 57470\n54812 79543\n10675 36112\n12989 47358\n41180 68556\n29960 72399\n48291 60747\n57045 66847\n46124 78097\n49122 88341\n41258 69025\n59499 93982\n33562 91295\n30271 48086\n8884 52765\n55702 96153\n18321 99043\n33124 39785\n64167 81742\n20983 80613\n16535 57522\n60739 96276\n29616 89009\n1783 50582\n40848 80299\n38170 96845\n62658 63909\n34531 56849\n27667 60540\n73912 86891\n87001 96505\n57900 74325\n76576 84663\n26351 66788\n74479 90647\n2102 54864\n65016 71831\n32568 67940\n19296 26983\n26158 92049\n19356 79755\n82 24133\n41909 51259\n48992 83588\n56425 60721\n36065 86745\n41077 54215\n13548 95005\n16048 69963\n3009 22639\n1175 23711\n58956 64406\n65596 74021\n29837 31988\n32361 45498\n73415 74568\n46551 75510\n50408 93818\n18172 56990\n2811 54277\n95539 96205\n16122 20423\n66621 87159\n44080 77108\n46168 63867\n14910 23774\n16163 33544\n36396 47635\n24466 36195\n27430 66886\n71843 98430\n37130 89662\n4570 70081\n9652 58225\n39699 84769\n50157 93973\n58133 96062\n41152 70652\n34636 59954\n21677 81337\n74528 82022\n1442 5418\n69685 96031\n20280 25144\n78007 80237\n8987 52834\n12757 94607\n32292 66283\n34015 77031\n8962 42231\n30419 56298\n47662 52526\n54881 77674\n34153 37765\n29471 55534\n19339 53318\n1435 10915\n35334 92168\n69655 84495\n52443 61728\n37294 89552\n43182 44755\n91969 94722\n26391 78074\n14688 55494\n46241 66064\n57109 89052\n9799 64817\n72434 87424\n15119 71138\n63606 68769\n26674 47827\n46374 90052\n25961 76964\n4048 72190\n27502 99403\n8725 84747\n1789 60301\n50415 58760\n16820 25375\n34035 48268\n51070 54110\n4761 85298\n9279 16777\n1988 98545\n44923 82995\n10869 86648\n45469 59671\n86770 96355\n39787 97456\n7564 90052\n64624 92340\n8313 31204\n25710 72528\n6655 53428\n10957 41412\n25338 97178\n69182 99165\n61610 68402\n50188 94629\n42907 59713\n41085 66250\n18199 58701\n8570 62184\n57934 59177\n30859 37723\n41043 98873\n44162 81013\n26412 88919\n22710 45149\n31148 33593\n32286 50151\n64056 72874\n1148 82632\n4871 5909\n59614 73817\n25182 73228\n52842 56206\n1275 45605\n62247 90016\n14426 71959\n10102 14859\n4572 20250\n8024 43890\n80706 86980\n29921 33230\n50754 71997\n10198 44298\n94946 96465\n48855 96848\n10896 72536\n4103 10006\n69263 90881\n14052 44746\n8146 67046\n17955 84604\n70427 75756\n56938 68522\n72148 83522\n34133 56271\n11929 99071\n38184 84929\n23215 35117\n28451 73303\n24297 31533\n17901 92868\n9035 30410\n76725 84032\n42316 84069\n81782 83279\n72216 89323\n16055 23682\n10314 26242\n30909 84678\n20227 35163\n55152 64963\n35892 83543\n22286 90349\n12620 97238\n19312 75188\n35006 78236\n1026 13333\n64661 78961\n73648 87517\n7498 58729\n54245 89411\n64308 90394\n48925 58399\n49787 99216\n51709 69273\n60561 83331\n33126 95648\n43301 86428\n81769 95678\n14897 71526\n65576 90843\n59544 72052\n43928 84116\n11864 28178\n6664 31718\n8307 10783\n1168 83865\n44 13109\n7533 59799\n71444 81832\n41597 66084\n34868 79856\n18150 51819\n9365 31100\n43269 61422\n87808 98561\n71377 85344\n17450 67088\n19516 66761\n94358 96923\n1627 61821\n27177 70561\n66623 84283\n71481 89500\n53229 66535\n46591 73192\n91614 97910\n61071 77438\n31015 85588\n27280 41951\n35557 58444\n8234 75340\n7365 69319\n68488 93775\n262 74052\n263 40846\n11521 54468\n13882 19472\n69591 85341\n11773 41075\n21861 60880\n47433 83982\n3179 61992\n59271 64509\n3811 93764\n24256 90405\n36244 60878\n40470 93119\n9904 63476\n24011 40418\n5851 23855\n36819 45838\n12270 57950\n13800 20916\n7163 95245\n38135 51256\n29151 92737\n17408 48944\n49844 93666\n78613 88261\n20526 59543\n21401 68031\n42919 44160\n5337 23182\n43260 45315\n34912 79255\n26223 31108\n27839 70031\n14525 20441\n5150 5773\n5239 44415\n6730 30289\n75886 98111\n35141 77052\n37251 39092\n18394 98213\n41460 55680\n5425 9509\n23842 81028\n4278 78975\n16643 24862\n49098 91031\n1891 1975\n19015 54675\n27144 72400\n81085 85733\n84999 88482\n21771 53723\n19968 36728\n48256 48867\n5009 38625\n41929 51677\n39159 70425\n10645 46900\n11858 41893\n25162 65634\n55966 64899\n24957 59746\n17817 86546\n54644 86892\n60888 74705\n53256 99096\n30874 75264\n1253 62683\n10956 52903\n30539 44505\n93232 94126\n26281 26673\n12504 29129\n2662 57664\n21012 92327\n6191 43952\n72653 79443\n26315 73029\n91643 92748\n5499 65631\n7905 22286\n47026 96048\n78283 99352\n71226 76866\n25405 96589\n34870 96547\n47120 86391\n7057 20329\n10751 91740\n9623 38828\n20732 89868\n25622 79053\n7766 41035\n5932 98878\n86030 95769\n45016 98598\n3754 54220\n30702 77422\n13784 52584\n54077 63026\n7126 73322\n55646 84255\n27614 79732\n46661 63231\n6053 16675\n19775 21649\n31147 58724\n10712 39025\n20010 64652\n70064 72586\n6129 30001\n13771 77896\n4764 25655\n34264 92432\n23471 48399\n46662 91006\n14799 15222\n45644 92370\n11891 71828\n94907 96088\n13717 23096\n73270 98763\n4555 61300\n5825 53290\n55111 63694\n6317 52696\n14042 99598\n35053 39142\n20358 23483\n43820 90349\n47658 50815\n48599 84223\n70130 98121\n18208 87097\n33796 66365\n84285 96469\n82735 85103\n22877 65719\n13306 27128\n15240 23282\n65278 82662\n27820 39871\n12235 35303\n87952 95736\n38549 45391\n16772 92112\n9481 95567\n88276 91875\n3764 99580\n12113 68974\n61758 80454\n17608 47535\n55522 58347\n14781 56800\n2083 94832\n28271 61234\n37364 53845\n27858 60191\n39275 72080\n7075 93205\n30985 32137\n4989 35962\n40659 88007\n26494 99267\n14085 76061\n11845 52644\n8315 39547\n64008 87120\n61210 61450\n12436 36524\n32667 56580\n11403 70952\n6528 58267\n13670 75206\n38046 99988\n52378 81538\n19348 69378\n37639 86940\n64745 69068\n2870 37808\n44260 47043\n11705 84198\n8458 59851\n30445 91096\n53294 75771\n51447 68239\n29290 75213\n36258 66667\n64573 89493\n9410 69529\n28009 83323\n36082 69411\n53651 70546\n13386 63488\n33281 81715\n81694 87104\n5756 14994\n17425 19214\n12736 64782\n3789 27625\n15156 35985\n16868 20481\n61394 62190\n77651 82120\n38412 66283\n20292 54452\n56185 58330\n44849 87268\n45455 50189\n45077 82865\n5251 64481\n42789 84551\n13704 54974\n22953 54075\n27831 45059\n19774 95971\n8279 65502\n5343 93063\n72305 95484\n8154 15186\n71199 80444\n32582 39332\n26167 80157\n31009 66466\n25520 53544\n28843 57246\n95043 98530\n95 31392\n39728 46236\n5722 6665\n6009 59420\n1339 60691\n11642 36012\n6272 66518\n39432 97965\n41669 93175\n1120 67953\n9053 90430\n49044 79780\n55936 96476\n65880 82743\n36166 84681\n24922 90289\n38802 61661\n4315 98853\n15095 24058\n10939 85940\n69977 77403\n1424 39479\n23165 76929\n10115 34866\n63530 64117\n4143 46227\n5099 60867\n21007 55283\n45193 65763\n35963 93186\n68070 98430\n67402 82545\n13670 67659\n48186 57534\n1244 3087\n44519 88377\n3013 94467\n25593 33290\n40456 84646\n18695 40723\n4579 53986\n40560 60551\n80479 92335\n8941 14859\n16729 79224\n15911 20758\n40076 59726\n58172 83673\n6198 53363\n52917 67950\n3394 98434\n77404 98252\n27352 81079\n14459 59867\n19805 92045\n21277 79916\n72493 85497\n16129 95720\n2845 58211\n17868 65701\n27858 45371\n19537 54641\n46751 88820\n68103 93368\n18945 91369\n70750 87189\n32885 74892\n17196 77688\n67462 82734\n8328 71287\n48861 94775\n75189 94774\n10921 36571\n12176 61830\n79190 85163\n33899 86938\n21384 24718\n10886 25052\n17408 17638\n11038 15893\n7328 88190\n24644 87744\n65027 66446\n1537 55348\n14512 37556\n4364 91947\n30135 80557\n71026 99623\n32323 86531\n24282 53075\n61027 65373\n17562 61325\n12935 18198\n4110 84930\n50880 86663\n29640 97806\n27721 29126\n3630 68124\n26111 89727\n3116 80667\n38157 99567\n27149 92462\n38057 60862\n11974 40103\n65913 81488\n20541 49525\n86269 95048\n67067 75888\n13140 26374\n12846 75565\n22462 44753\n48457 55963\n10488 53983\n86658 91021\n26022 64576\n33467 37873\n2599 40145\n7558 42541\n4938 74258\n64831 84358\n41474 75271\n75775 96845\n57703 96371\n1011 45263\n8075 88995\n25802 40012\n79606 97416\n37825 76758\n16501 28529\n30667 37463\n79135 87492\n5739 83727\n18374 62819\n48809 89501\n12241 57212\n33739 62315\n88453 98925\n92533 96578\n1439 72918\n33912 90367\n19176 46085\n1573 27293\n6754 77822\n47866 61143\n86432 88734\n56467 66800\n31483 53613\n6889 45598\n25535 68803\n11287 51648\n48231 64509\n102 9466\n35024 64643\n28770 29090\n20854 91571\n33940 68710\n75841 77562\n17140 87335\n8800 25719\n82694 94623\n91191 98177\n51229 59521\n64497 74066\n21004 51225\n22451 50423\n64524 64916\n10388 54750\n6810 98097\n62304 84291\n8168 8837\n10267 34426\n18751 27404\n48903 98732\n35334 56455\n17163 94319\n23335 58308\n24058 89976\n26664 59144\n78837 79304\n9861 94988\n22848 45942\n71406 74157\n64277 89137\n68533 70133\n21152 55433\n58675 72643\n45736 59855\n26137 60726\n1183 61275\n68578 91344\n31008 47991\n10633 16305\n36825 85439\n60164 74314\n44835 52242\n4727 81340\n57481 91268\n15739 40228\n62848 73166\n52238 68118\n63058 79508\n38290 67357\n39162 86114\n29718 40242\n18187 81213\n17159 43094\n75963 88243\n41028 92897\n2438 84020\n24711 44233\n55483 68420\n16975 74459\n62086 91228\n15868 61479\n58633 91002\n47187 97181\n44716 78360\n32259 35539\n10472 67971\n1107 96856\n74138 80452\n32734 98696\n36805 95700\n73419 99320\n18127 26496\n5304 17392\n64987 87391\n824 32445\n12828 25723\n14547 29924\n54 13507\n2328 52672\n11396 31372\n48213 62616\n50632 85288\n64669 90384\n2023 17373\n28493 83537\n11147 66225\n63842 64158\n41680 68573\n4056 66409\n17127 79648\n32353 63519\n39767 86358\n66945 91855\n28736 75920\n12133 95226\n11585 38716\n4544 23380\n17616 61880\n84904 90554\n38523 38890\n10321 17579\n29957 97738\n35067 70352\n57014 97407\n36047 55228\n2955 26393\n60855 88038\n44869 52934\n7974 24075\n19968 51600\n38838 87151\n26532 46517\n27661 88137\n90175 96009\n7202 77856\n16124 86480\n42968 63324\n60476 83679\n60054 72913\n48249 81620\n90211 97015\n70661 80423\n28396 29932\n4582 25077\n10901 53341\n43324 75623\n64676 74221\n15077 39422\n45043 55214\n50680 82782\n4498 36002\n84384 95779\n72564 74836\n31606 48221\n739 49101\n5768 7654\n31863 71405\n2783 97019\n60979 87641\n13536 23450\n5589 43183\n6062 74148\n70583 90363\n33682 73271\n74342 92964\n58056 65396\n64452 82453\n24950 76049\n53496 78158\n1550 56754\n71227 74637\n61669 84729\n50960 93733\n33080 33387\n60810 79411\n39184 78086\n20246 87549\n73802 86372\n10706 79476\n1024 88425\n57481 74997\n6897 12292\n54005 92375\n77278 90312\n11585 33783\n3563 20943\n21652 51604\n16005 47222\n26214 64542\n821 8282\n54863 89442\n65658 68709\n53401 77580\n54178 82985\n23934 62307\n20148 75624\n30007 53244\n24701 31461\n69220 87210\n38895 76079\n52589 79143\n25200 61641\n6156 25669\n28131 95460\n18611 71961\n15804 24164\n56546 73889\n29581 71735\n8240 20428\n2697 43713\n24600 50320\n27814 84263\n28070 93709\n23774 42704\n11572 25700\n8955 76736\n37278 52539\n53650 77289\n25827 38074\n12990 40424\n13913 47129\n15644 46750\n27188 31490\n4376 26954\n49126 96882\n31917 69072\n671 59114\n63542 66006\n45647 99225\n28394 31078\n4665 83610\n28148 97509\n90230 95413\n136 96255\n63939 95847\n29202 64024\n50787 55998\n33633 41912\n34091 68145\n27857 80580\n38035 39011\n10840 73951\n66928 87106\n49543 80842\n11100 75886\n21384 29811\n19034 98795\n44496 68774\n34406 77232\n47040 53043\n44986 96486\n44649 99120\n71941 78850\n15393 62173\n1367 51363\n15149 60064\n70925 98330\n11044 67047\n46083 50252\n3170 98903\n22418 29663\n31292 32228\n42267 92102\n17427 84832\n62800 90256\n3738 68225\n5738 38468\n29133 53392\n72773 88139\n4219 44642\n32649 74619\n82452 97366\n8246 86218\n67 84224\n17219 97344\n29999 66974\n36970 59750\n25162 48984\n29502 50058\n21205 96528\n77915 85271\n42200 57961\n16197 76092\n22372 94206\n27972 79855\n43617 45243\n59062 77650\n3677 73994\n20281 97246\n84976 95507\n67782 78128\n54402 58888\n10052 85114\n47330 66688\n21331 84280\n11213 53995\n55513 89196\n26177 49343\n6622 8878\n36588 59940\n33238 58338\n46481 82435\n4646 18340\n18681 36286\n11807 61088\n2854 64308\n4432 55979\n14900 42186\n12354 87998\n23642 84121\n6640 75371\n15696 59228\n29354 45600\n60430 63358\n37591 78782\n9323 87253\n57988 91197\n30999 89223\n1945 92256\n7581 80140\n41032 71058\n6978 41297\n12512 80271\n18712 50635\n32510 69645\n21234 64054\n61102 98096\n4872 69158\n86387 92241\n49301 71223\n23490 58223\n3948 51952\n89242 94577\n14371 73079\n10247 26263\n705 67376\n79040 91210\n59371 72337\n10254 65633\n92852 98688\n15887 69643\n74143 95281\n56769 85456\n48711 63584\n26772 73635\n14912 64029\n90434 96142\n52739 79606\n927 47002\n33759 45599\n30462 52979\n87804 96837\n50712 85936\n50096 88351\n38742 92710\n60089 88321\n46451 53773\n22364 50564\n31860 71526\n14407 41331\n24779 64645\n69108 71587\n41339 88306\n12949 97057\n34533 76759\n8433 46537\n9461 90278\n46148 57337\n19871 37401\n54331 69881\n14749 17856\n1786 23006\n65149 98559\n36243 46565\n51784 77627\n4317 59882\n66144 84758\n65804 73079\n16851 64694\n20883 29524\n19406 33302\n12542 22551\n54181 65336\n48483 71262\n52734 91097\n39638 77329\n19880 75411\n75902 77231\n26801 34340\n24702 86382\n20142 42961\n30134 87053\n32770 55590\n14389 74969\n42031 71510\n32352 50486\n52837 83254\n9045 76120\n33727 92916\n2533 99497\n16756 32697\n29439 78524\n5449 81771\n57070 82969\n59598 82021\n15529 77301\n10514 52014\n74344 75891\n33151 83042\n42452 54034\n8242 71739\n74399 76739\n628 85227\n61059 66222\n3578 21748\n74081 99288\n28658 40866\n274 28892\n34237 89633\n3054 38001\n25029 53030\n10561 35115\n4476 30045\n11212 83033\n52352 89542\n53736 56277\n14129 20586\n55560 91139\n14000 67523\n8399 44322\n30763 46683\n15342 41370\n2754 52489\n6087 39947\n22016 89622\n20825 49669\n46702 55750\n17843 73279\n54382 60273\n10313 13035\n26938 90734\n58049 81190\n43886 98883\n64319 70825\n73122 87428\n4075 59588\n31221 32802\n64577 96416\n57372 81754\n18701 98239\n47129 47806\n7763 35296\n26056 93515\n30549 72543\n49182 75006\n77986 93165\n24790 53730\n3787 12136\n1196 50783\n1489 9243\n60011 69693\n30955 51850\n7426 35585\n18856 63389\n9357 17272\n7226 13391\n11742 85774\n89521 91451\n51911 64526\n36806 99660\n9461 24287\n36741 54239\n7653 61705\n21839 81243\n18919 22475\n15317 40556\n40855 51812\n17405 26212\n18407 22917\n3262 51320\n2640 84389\n12111 97078\n67614 98743\n51610 52236\n56601 84203\n41834 64396\n2457 33761\n22145 64608\n29863 59452\n33652 57498\n74656 98051\n26514 62750\n33269 34631\n9473 32876\n21895 90820\n6659 95476\n37494 88406\n322 91015\n6669 99709\n59221 92904\n38937 99526\n22400 43914\n49373 99815\n15830 32190\n1313 6362\n87321 96279\n23404 81931\n69942 73358\n18540 67637\n50638 82041\n63416 93766\n78656 82201\n46492 71420\n18338 95452\n60025 66486\n5718 98580\n10743 81843\n14709 71390\n13795 48114\n19516 72286\n21670 56109\n55268 86176\n14068 42425\n16867 56315\n60150 76971\n49668 50881\n23565 36003\n46947 78707\n18473 97757\n61361 89916\n40420 85728\n41868 84788\n50329 75177\n56118 96853\n43196 99796\n6041 77548\n20027 20201\n59288 83591\n28806 42331\n18545 61027\n1887 68517\n48595 66535\n11808 41951\n83568 98941\n38777 55259\n36565 53303\n31099 35624\n12995 31861\n41464 54610\n46825 49599\n14915 77292\n31479 44901\n73078 83816\n37093 92957\n18944 78013\n12005 47250\n32159 70995\n9819 43958\n45189 64446\n44765 62801\n52113 87900\n37390 76101\n16212 66605\n85225 85226\n16344 55323\n17655 62138\n4530 22286\n31901 49626\n16651 30118\n40681 64205\n965 55077\n15846 60148\n77714 85587\n31580 81802\n9966 72778\n42982 52183\n36259 75781\n4204 10098\n14224 46589\n16419 39009\n768 56906\n28445 90397\n36131 83483\n76323 97645\n17234 76765\n81080 96423\n8584 22736\n23173 41157\n22383 51286\n56761 74099\n32648 74686\n28825 70132\n36086 66271\n18989 24220\n37883 66654\n11151 24753\n31493 50881\n6128 17356\n14281 70976\n4373 52047\n29340 73720\n71025 86588\n17745 20412\n89693 94435\n56627 95445\n31528 79645\n46996 65278\n18924 93447\n88712 89940\n3965 45797\n13273 27778\n17490 80386\n52562 70420\n56363 57207\n7310 44289\n24574 37451\n32994 53242\n2505 24958\n54521 80218\n9720 28906\n51432 71483\n43021 49790\n30779 60770\n66165 91810\n20419 75368\n5247 52714\n38867 55444\n49035 74019\n33556 65348\n1263 41452\n64338 99062\n20354 28009\n59324 78839\n43079 74208\n44331 76771\n12399 33645\n38883 65660\n74746 98188\n89820 91340\n49713 99818\n27740 42105\n85972 93434\n79306 91039\n83965 96188\n79375 87974\n16720 33649\n7983 43899\n60304 76622\n29386 33041\n26593 97429\n31220 92843\n5382 42650\n5394 35100\n4223 68098\n15956 96627\n69993 96063\n17917 32077\n37048 37985\n24396 75947\n33499 52381\n5295 27974\n5393 50476\n17338 82741\n10747 65414\n6931 97852\n64297 74603\n17652 59919\n49067 57859\n52786 96245\n2824 95697\n43840 60270\n66858 92282\n54854 96265\n62871 69237\n486 57460\n63086 83486\n34489 42640\n25889 89958\n58284 72761\n22667 78824\n63760 97146\n7197 37602\n14089 53075\n19836 66090\n3817 98554\n19085 75122\n28604 41263\n34974 75179\n24393 38507\n34632 68069\n7590 48907\n35985 87229\n20309 94736\n35566 94298\n1181 56498\n64679 95953\n45825 60629\n24419 27197\n4153 91525\n25431 63691\n48519 55865\n27204 43417\n25155 65106\n2812 71242\n81280 82560\n52027 86728\n35621 91420\n86614 91725\n36942 99807\n4703 7279\n38591 51941\n3407 64685\n39171 67230\n34162 94425\n45598 61726\n38648 91663\n18540 46028\n73949 91253\n2473 68341\n20781 81349\n37942 38116\n11738 20765\n51714 80908\n24097 43742\n31828 98951\n1644 65420\n87578 92802\n27040 65586\n50381 80284\n41655 56244\n37983 48011\n8821 28034\n30907 88735\n17947 59343\n11218 96468\n39725 66259\n59427 60605\n16206 36298\n31855 86008\n10153 73324\n3622 45894\n53505 82788\n80851 83366\n9695 50026\n36518 75232\n12007 90433\n17329 77267\n56550 76251\n34019 59597\n20083 67578\n8634 88070\n40643 45718\n6209 49277\n8147 30283\n52969 54345\n12167 33849\n20166 91915\n35123 78887\n95086 97877\n57164 97117\n65253 75718\n25268 83245\n48644 75205\n39445 41070\n42118 52626\n10558 78950\n91495 92997\n52988 60825\n44500 81830\n48093 63896\n60076 97759\n31794 74569\n17176 80124\n68833 95817\n13016 86946\n9444 63958\n46858 85538\n64802 66897\n29625 42209\n72137 79247\n62174 73317\n16453 27617\n40695 90438\n20136 46977\n24871 76036\n52059 92966\n19925 25400\n29933 64818\n16184 99190\n20685 39991\n41638 90047\n13948 26873\n35870 68697\n70426 79076\n15350 33008\n21475 63996\n27493 67257\n40559 97127\n19274 46600\n23386 30670\n59849 62838\n16432 81495\n41948 65036\n29012 50773\n71023 96606\n41697 62172\n61104 70785\n27097 31214\n46383 80800\n21499 92934\n4767 98758\n82350 97100\n6296 93011\n57244 97368\n29308 86098\n15338 52404\n17799 20135\n23204 57525\n23378 85209\n5301 75373\n16838 89294\n17961 89110\n39096 43106\n5262 96676\n48579 86037\n80360 90762\n43319 64960\n80077 81715\n33817 53505\n68645 83744\n4139 26397\n57818 93830\n32084 32318\n10581 86431\n76934 89480\n46487 95887\n56879 92562\n24074 55732\n62428 65829\n7101 39672\n72427 83150\n28645 61868\n243 54505\n18061 95636\n862 99833\n15383 22173\n20474 74833\n48932 54779\n29014 40949\n19768 52646\n42676 50539\n33583 49276\n4601 54374\n20244 41282\n6345 65776\n60367 91371\n1476 66986\n16569 23099\n77668 85954\n27602 59538\n7846 32526\n75490 78185\n30350 79675\n69361 76443\n31382 58220\n24675 25901\n7198 74677\n25082 88343\n32226 59374\n29225 42410\n50017 63915\n7735 69209\n6089 64232\n9246 68610\n14916 75737\n68878 69617\n19784 33757\n21215 35115\n82425 92775\n3780 83136\n1367 66137\n8396 98000\n2536 59980\n3219 51652\n28409 39735\n35072 87518\n642 12336\n46506 79916\n9994 59051\n73143 76192\n5668 18436\n45410 68942\n232 16088\n59757 64801\n12257 60679\n18591 19016\n79980 94366\n19253 27643\n50137 76095\n23338 28852\n83389 95799\n87181 95307\n459 74194\n36179 70270\n84467 85701\n4139 59166\n36566 71274\n44430 84777\n13487 69003\n58757 82834\n69637 98580\n20816 94770\n74694 96242\n36450 71179\n3323 37065\n5420 38587\n41811 44489\n29743 82272\n9217 39492\n35634 62736\n54708 67332\n54948 55145\n24947 70251\n75391 97803\n7660 19617\n90484 94790\n21521 50383\n79860 88723\n35145 50129\n767 4674\n21882 95088\n39781 98472\n26779 44021\n88799 98293\n47854 53663\n70807 75272\n353 98917\n23025 96603\n5739 57677\n32956 99118\n27023 98016\n10975 63937\n28588 78453\n4108 74570\n79717 85876\n49079 72590\n82673 82695\n72646 81670\n10646 70449\n211 84312\n1523 77643\n14568 88726\n52191 68825\n17677 72230\n7130 91150\n46892 74185\n18385 97510\n93380 95173\n56362 74874\n28526 47670\n25772 93858\n42940 54441\n40565 82931\n1569 87111\n88880 92387\n7759 87867\n3861 60304\n28643 97894\n19744 29702\n37278 40097\n26998 31469\n11656 65277\n15797 17957\n88633 99602\n29036 93560\n3750 29827\n12422 97869\n66473 83303\n2867 89028\n20569 98140\n19502 92233\n5279 86648\n22094 54264\n7128 28353\n60416 61760\n53648 78078\n23447 87378\n72990 86411\n85584 92985\n31412 68369\n3689 20661\n31221 75660\n27303 97455\n69091 96367\n68660 94956\n33765 52249\n54531 73827\n18869 45983\n12999 34054\n61813 84751\n10056 79324\n12143 78310\n31349 42039\n18524 66488\n55271 65341\n54566 87044\n80955 87453\n37741 92939\n14801 85635\n3895 67947\n18457 49994\n46072 93015\n29852 59522\n61425 97685\n13330 39842\n49859 88740\n15552 49617\n25506 86771\n26674 32296\n16246 63234\n70668 90071\n68427 80997\n15225 54649\n71355 87679\n24091 54527\n16316 81186\n26277 72588\n6250 90989\n80233 94996\n24814 55103\n11602 42823\n14774 63352\n12345 66815\n14154 39574\n57051 72650\n33482 85997\n11718 21054\n67279 68955\n16949 46482\n33521 59068\n61070 62015\n32124 63514\n50612 87016\n72797 99895\n20575 81626\n38146 92070\n10845 62995\n55605 67428\n28860 58281\n11912 27210\n35770 84481\n4727 87235\n41721 97236\n15958 44160\n77913 91400\n16912 65417\n51128 85739\n17053 20816\n69747 91456\n24422 26872\n63071 91048\n7362 29169\n428 25153\n16197 30048\n62822 92317\n88331 89222\n41960 73640\n23454 74259\n25801 36253\n50917 82121\n9812 81875\n59570 60592\n34968 96249\n1816 84802\n1256 34152\n17000 19971\n22079 41872\n61069 80730\n31214 74820\n48861 83458\n12652 67261\n18123 46477\n82021 88035\n42446 78788\n30212 87021\n6426 47437\n12260 48533\n71408 84821\n64003 64067\n26347 83453\n7555 52768\n41288 58996\n55944 60661\n34524 92943\n11813 42786\n32146 49152\n4692 91361\n60683 71570\n59174 74485\n3865 66782\n22092 28043\n71344 86846\n27139 60298\n11270 98289\n19594 82025\n31849 60898\n919 30225\n30775 54546\n62098 90237\n20894 43278\n35829 93719\n69367 84017\n11483 86859\n1118 52651\n6553 23834\n37962 70555\n34490 76146\n43451 91679\n374 10696\n40053 50760\n35409 75146\n12908 21296\n29659 50308\n40144 83376\n48438 65002\n6609 99249\n21863 81005\n36663 44537\n40872 64295\n27429 98249\n62716 65229\n47169 55016\n85930 92953\n61459 81332\n647 46871\n6458 55541\n6720 83477\n3983 19056\n56341 88149\n44325 84111\n13554 76364\n54100 90336\n4046 95486\n55657 66170\n64326 72937\n87921 93697\n50696 82035\n24089 99521\n354 79770\n26883 49868\n51529 92397\n29281 67070\n83387 92934\n95 12923\n24000 80812\n23463 87919\n46728 75088\n2919 95746\n55243 77304\n31167 37366\n26919 35891\n49229 55013\n21457 93219\n46453 47962\n11272 78312\n10056 59669\n4520 60155\n28016 40553\n3611 45584\n71030 80129\n42358 77712\n13712 92162\n45393 57356\n35164 40803\n8510 67371\n1949 74673\n45680 66529\n8757 40554\n516 19887\n58270 99655\n64978 80836\n33615 90836\n31210 84258\n23372 36436\n22964 42570\n18521 56522\n40102 66652\n36439 47743\n64608 84395\n45401 82280\n57027 69308\n40832 78273\n70978 89310\n72706 95152\n24325 82694\n80398 97741\n37749 73757\n63431 92051\n55999 96311\n25588 37938\n14583 76142\n26690 67443\n62670 69520\n8580 58587\n27410 97198\n40568 82404\n65145 98209\n45284 78503\n23351 47000\n68416 99739\n2351 14260\n22955 93465\n2542 76035\n16828 16953\n50754 95689\n68978 92738\n63785 94310\n45764 78554\n78267 85275\n15 36710\n27656 44893\n58155 68175\n53721 98042\n20362 97149\n31681 70422\n67430 94048\n14976 23889\n36404 45429\n15966 24630\n24936 38271\n81356 81876\n60579 99068\n3267 12975\n13488 71529\n29255 85393\n18160 57509\n8530 61030\n25617 87241\n66165 90209\n12005 47346\n13786 83215\n82779 83863\n44343 45347\n22060 62987\n3941 56020\n25477 53795\n27037 63377\n14452 59542\n44691 70556\n27706 77615\n72828 95859\n54589 88623\n19614 83847\n2966 35095\n310 16099\n47080 75908\n65265 67190\n8527 55354\n3858 4754\n47010 78959\n17181 39720\n15568 91018\n66512 78219\n17074 19045\n11791 79095\n40880 82341\n50942 54202\n41414 41743\n68444 98173\n22463 40332\n157 9241\n4493 70842\n16922 50117\n82883 88517\n13791 66072\n45183 75422\n29593 77436\n28233 41685\n7581 67587\n38298 54956\n63551 64148\n44661 81479\n55285 74121\n18825 79107\n26348 55843\n6827 71035\n11777 26819\n5853 65937\n13146 14882\n4147 91214\n9739 12242\n70911 98389\n19155 89877\n51287 88390\n58414 61354\n28013 42705\n14199 38943\n30684 42134\n82633 99853\n44085 67320\n4782 85433\n52022 80411\n40332 89064\n13286 20224\n4136 87551\n21692 22158\n56122 64297\n44300 45647\n21041 34428\n4736 20961\n51391 71175\n71345 78422\n4682 71790\n58147 68731\n5503 10051\n37844 91168\n64629 89223\n71872 84125\n18717 77716\n23502 66506\n43500 99395\n7651 55100\n25828 32236\n18601 44498\n17600 96953\n2300 65135\n23896 80655\n46033 94949\n4711 11672\n24040 97501\n91027 95182\n7533 48988\n58467 90356\n79992 91529\n65450 75084\n18701 92602\n30942 32055\n86963 97459\n22851 77751\n29016 73839\n37642 56515\n60098 90181\n32841 67748\n12192 90063\n13983 65692\n70137 72137\n58048 63582\n511 93205\n47944 61383\n23438 50539\n46129 60868\n4743 20197\n6574 36903\n1228 92296\n55682 73439\n72441 77304\n62764 93858\n32200 40842\n20625 25369\n90641 98898\n83983 92218\n7832 88243\n15915 81249\n6082 26396\n6541 74769\n15142 52481\n64941 66627\n52631 55437\n30376 84084\n23340 82845\n32247 96430\n74493 96882\n64351 89201\n8851 26192\n26178 66011\n2772 30687\n59769 80528\n7129 68027\n97509 99487\n23194 67062\n31831 49531\n31013 91238\n71499 96451\n43199 70153\n92197 96404\n84427 98841\n6043 91654\n32792 49648\n62495 68148\n52619 73946\n4879 23578\n26681 45167\n39978 49762\n10545 95502\n47339 72238\n35392 47865\n34850 72826\n36704 87051\n39773 57764\n60819 72988\n85218 87974\n70103 83428\n8783 38112\n13317 66291\n12105 29799\n73745 82660\n18567 74011\n71987 80966\n25645 97554\n58736 90757\n65998 92341\n13164 36475\n66033 85995\n64027 75950\n12999 84180\n17007 60121\n71047 84494\n32608 42973\n59124 81149\n11275 65593\n46703 77928\n48725 52118\n25707 77281\n19375 43854\n3196 97946\n3265 39493\n11999 62464\n16752 75059\n15721 33009\n15617 53280\n55667 83111\n22204 74545\n69500 84256\n64072 73737\n65331 74928\n53255 63776\n32155 76650\n84722 92797\n9456 35944\n34420 58168\n24186 89384\n87114 98211\n53755 71453\n2040 49857\n2826 86901\n80848 83763\n3394 70858\n20091 95170\n33638 95584\n11897 67174\n57786 74691\n28718 87389\n22474 60250\n2298 30838\n10561 89466\n56317 96802\n1912 3281\n9059 96681\n5305 23372\n33508 96708\n21005 86637\n14797 78499\n33021 61816\n36500 36563\n82077 91880\n54549 79495\n9531 42119\n55138 73079\n6554 19427\n68988 70650\n15909 39695\n60041 83309\n43318 55995\n7866 86905\n32307 82156\n19439 28144\n37211 80443\n52379 76288\n1498 53586\n17072 22096\n42802 50725\n62296 63422\n16114 44226\n7884 39383\n25114 26784\n4291 25096\n37095 64099\n33169 34784\n88929 94177\n22632 48316\n6063 38532\n41969 46684\n56723 96909\n48646 94147\n63231 88324\n27148 94250\n86280 93206\n80926 94124\n15369 77053\n63968 88664\n30633 98540\n31865 45965\n25074 89453\n13847 75265\n28625 38147\n10719 15354\n32117 56070\n69376 83692\n61778 74870\n7278 89575\n51568 54467\n533 5092\n44086 85882\n42917 93551\n23473 35443\n80937 83426\n5479 10502\n62699 70978\n45023 68131\n13956 50252\n36307 92213\n2858 27627\n19468 37191\n33977 67101\n6945 96696\n29907 76969\n79674 85606\n56724 98300\n9257 93644\n68711 87172\n24013 74936\n29499 35447\n11743 18605\n40944 61744\n30703 90080\n32506 33996\n25260 79919\n49142 82252\n38829 65611\n32074 64444\n20245 42826\n29616 94804\n98422 99702\n17060 73701\n62159 69739\n16185 91364\n41886 82587\n1996 78225\n4914 65642\n10873 97741\n16840 49781\n55174 83409\n45735 60288\n9319 47291\n46688 74206\n42732 96120\n32009 80768\n72620 81309\n5405 82600\n25926 97699\n7347 65907\n24410 46160\n14193 46863\n57277 83018\n47863 66198\n33902 90758\n38608 84656\n56247 86894\n11957 75221\n15174 80491\n49211 53787\n23474 81868\n27764 64820\n69873 95465\n94012 94291\n9504 54317\n32668 60577\n13421 66170\n43539 44275\n37652 80027\n16120 62395\n15818 36310\n68349 86095\n20306 91142\n35566 68575\n44530 98748\n43605 66220\n44865 55609\n12815 99957\n19842 73236\n13606 56080\n8466 59382\n54809 64420\n14458 19552\n35219 55622\n19621 98136\n74921 80728\n30626 96990\n54278 91572\n19084 81566\n29068 38617\n13675 41796\n46195 96760\n42901 68581\n19300 38895\n51044 80523\n30326 98633\n489 96764\n1333 74756\n32915 75549\n14417 69454\n14758 90614\n68193 93266\n74802 86484\n52155 83695\n40370 80301\n81678 89712\n12789 97341\n3804 61838\n8045 94215\n30056 98443\n12198 36015\n9710 32486\n10178 53909\n19418 22174\n74968 92304\n51974 85052\n38838 42129\n42829 61518\n30567 41409\n30539 67898\n24334 34932\n6805 95163\n16369 61637\n14251 70078\n57905 62201\n15001 80321\n20534 33964\n11920 84837\n1190 73563\n21503 48449\n21736 77381\n10439 13463\n3610 37573\n38930 95649\n45432 61523\n21051 91477\n29758 91926\n7149 11854\n9626 45414\n5143 91191\n57200 74238\n44526 96579\n23722 23795\n1872 38395\n7481 40651\n25077 42600\n25125 75749\n38647 46340\n3077 93923\n7119 79061\n25338 83444\n34564 89502\n33391 98810\n54592 68979\n1174 46297\n36168 58511\n7768 17275\n19671 70394\n35442 71582\n53770 91614\n53725 89745\n21584 67162\n18256 39160\n57058 91356\n37732 45243\n61846 94427\n18457 72031\n13579 83207\n40683 65948\n47150 72623\n32541 59805\n20336 67194\n12825 62298\n16294 43948\n26498 40419\n31436 84443\n60064 91592\n2168 3682\n5106 43714\n31579 32682\n76999 84907\n75828 84600\n48701 62613\n55363 89510\n54690 89447\n89909 94047\n12439 60159\n60916 82816\n58174 86263\n37127 89232\n5074 27417\n55354 73941\n44267 70651\n547 50306\n75227 97908\n294 53869\n56269 72155\n33870 73599\n9638 48977\n16658 68812\n31272 70203\n42641 50737\n47326 64776\n23587 77878\n21008 70528\n23982 82366\n39193 56284\n53618 97742\n49462 73344\n484 78469\n12404 27998\n51224 51967\n35727 77214\n46047 62946\n73347 84580\n77297 82892\n17367 64985\n4161 73238\n17553 85394\n25360 58695\n83558 88921\n28105 54363\n31625 62768\n44522 76273\n5854 97677\n1961 98595\n7211 60359\n50406 82175\n18956 58647\n29905 42421\n48517 73111\n15290 95451\n28558 40522\n36513 78619\n78576 87198\n3946 98610\n42523 60999\n6574 66444\n825 75313\n40440 93508\n61825 68546\n14616 91973\n39190 43863\n36280 81967\n1293 84956\n46033 73085\n39210 78522\n25186 79888\n44739 48016\n65857 90481\n10452 96699\n70498 84998\n39103 77173\n61966 64280\n28543 60133\n44552 82398\n97013 98832\n48625 97267\n64110 96754\n799 54066\n36444 42630\n19664 55016\n34351 53618\n43151 95243\n29252 89372\n51436 81617\n75571 97421\n16428 91534\n26013 36992\n15319 72012\n17739 88564\n62454 73299\n23259 61300\n44814 63902\n22582 61926\n37950 70289\n5370 83189\n17772 68137\n75572 77060\n24798 71492\n45517 56385\n27919 76960\n20097 67540\n15060 59716\n20646 23232\n50681 79988\n44060 99323\n17832 20251\n6461 73623\n23620 32696\n42301 93061\n10063 15594\n12999 46089\n67928 79553\n6795 25566\n21337 81331\n41330 50801\n84983 91110\n49655 69849\n78159 99352\n9529 55448\n33412 87502\n19767 87709\n37725 80992\n2994 65680\n5205 59115\n76675 76770\n6772 59485\n30819 77318\n43412 57854\n46598 67490\n1696 14494\n22154 29508\n20790 29719\n14054 70834\n12669 50008\n15099 19950\n21891 94497\n36644 41730\n15163 19428\n80464 88274\n44722 74245\n57819 85151\n49125 55553\n40765 82267\n28725 89628\n27098 79442\n80106 99822\n44490 71046\n6077 72391\n3286 14923\n19279 68327\n48780 79237\n45102 90753\n11484 90159\n7232 25999\n45546 49180\n52162 61201\n57234 68307\n25913 84846\n27502 57290\n14600 60503\n20759 41694\n54133 65012\n15505 48579\n23446 35372\n377 77069\n37064 47193\n28097 80699\n35716 62671\n41660 62007\n875 60006\n17239 43177\n83910 91971\n24959 25316\n17146 22060\n29486 39786\n44923 59817\n26049 74578\n31716 64972\n28246 79247\n80749 83391\n39140 71121\n5008 87698\n12971 54748\n34441 60904\n41021 74640\n11591 80679\n16286 83866\n56081 82029\n2468 70387\n38500 74893\n6126 42356\n57238 95731\n44232 52995\n12041 56211\n3149 67372\n56013 89818\n65045 66768\n25286 58558\n7775 23635\n17860 92216\n14989 82055\n26534 80515\n95949 96645\n36419 85635\n75581 77700\n11214 44820\n37300 63399\n9906 74593\n24678 98137\n12360 29944\n28943 58623\n64803 76974\n40867 93225\n68699 82778\n54509 85956\n21326 44748\n85360 87592\n56342 65148\n12105 25250\n2813 69269\n69290 95165\n33171 71581\n58310 83276\n84806 85673\n49055 62836\n37285 80655\n12358 72065\n10219 33392\n76723 95821\n6619 68346\n29004 94122\n44667 91471\n15125 20515\n61114 95937\n51253 79408\n17187 64286\n31489 35758\n61485 63642\n6997 17631\n11629 31178\n19035 59322\n87728 98758\n32268 41626\n20921 79550\n7255 75426\n49308 62606\n47363 57670\n8774 41049\n1441 62792\n19723 48140\n23251 74089\n32968 61276\n2168 79608\n34052 58742\n2173 85241\n15604 61786\n56471 77764\n600 29076\n70098 76630\n1996 37708\n64817 94350\n4175 41406\n16384 60754\n51168 67779\n93929 99340\n57708 74551\n39583 50634\n20057 97052\n54120 86716\n8972 10296\n8632 51587\n22788 53252\n70163 72200\n1527 62804\n16645 47106\n16759 47813\n18937 43836\n10818 52714\n12427 34119\n36082 98098\n5517 11475\n10947 25013\n1032 11218\n40474 67476\n10681 37578\n26988 28165\n70177 73004\n27279 82125\n44392 45174\n16039 47927\n56408 65525\n63630 67470\n1627 16406\n5211 68374\n64603 71997\n15758 77260\n24644 63275\n70865 85830\n28803 61199\n35707 64215\n23052 52358\n62316 79401\n35072 36854\n12584 54035\n22244 51095\n64342 70423\n41078 50078\n70371 96167\n750 1990\n4433 66481\n90581 91377\n5657 66504\n13527 26089\n70639 89266\n14554 94037\n25253 68754\n54204 57219\n39515 99143\n61302 62485\n19449 20264\n1878 38276\n9785 74582\n22027 22163\n28908 72631\n56234 91133\n6426 55413\n1245 54175\n15457 52330\n13236 97742\n1378 63603\n59645 67036\n2833 12086\n14925 70623\n30287 54973\n17422 51067\n14990 47005\n67489 70965\n15093 55957\n44224 65590\n72429 97478\n4437 87629\n78124 79289\n32051 87700\n29625 87244\n19611 61358\n37808 76561\n7194 91453\n8519 49950\n14346 34027\n4124 95250\n29702 48610\n8569 76574\n39375 39757\n27048 64561\n75361 94619\n24397 88418\n965 80596\n7075 75248\n7421 24430\n68320 68712\n75271 82576\n26099 59382\n20825 23275\n3777 49557\n16769 30476\n14992 56204\n29841 40464\n52075 83622\n20629 48849\n11045 54327\n50565 83085\n43378 55137\n22580 59777\n16082 75933\n7764 25760\n29124 42615\n41456 69616\n24758 83792\n11643 48096\n24298 41973\n11439 83703\n13010 51444\n5680 74831\n45017 65125\n22228 58571\n53725 66650\n6273 34424\n49953 93213\n30333 93279\n29641 37024\n17412 92816\n43709 63614\n23482 70446\n6463 52597\n17835 88909\n837 96517\n14713 77019\n4554 43270\n4017 29614\n61629 86428\n34756 44773\n31713 55778\n75229 94657\n1455 31402\n72003 87993\n80445 85474\n29970 83369\n12896 86317\n23331 25606\n69034 94216\n72847 75602\n20751 39081\n14788 93663\n64948 73657\n49079 79429\n49604 91760\n15623 60056\n41467 81781\n4561 48152\n5397 15186\n21021 62900\n33663 64305\n22487 50438\n66983 76405\n27060 35370\n12760 89340\n62448 98086\n37728 69007\n39637 67643\n59451 99745\n20546 32753\n3505 16696\n27737 95905\n65123 94408\n50031 58482\n56754 60136\n13625 23444\n8337 90062\n4869 43992\n11159 35587\n1369 23818\n9882 90496\n13131 70438\n73456 99845\n38278 79737\n8626 10414\n36868 60499\n15758 33389\n16973 51118\n45236 80374\n53797 60067\n18904 63398\n7700 11744\n3449 64725\n30501 57084\n19366 30516\n16797 81297\n55452 80793\n11996 96418\n30627 54314\n4269 89935\n7726 78408\n22273 72682\n18435 92244\n31251 85277\n7221 75807\n19879 38844\n8661 38294\n5646 19823\n13516 36439\n10032 27581\n47897 88808\n9871 26663\n44667 69795\n26375 93717\n17894 47491\n14782 70536\n4615 47224\n72914 77979\n32218 34063\n41721 58075\n10464 79938\n16796 72490\n50438 61031\n83404 84735\n70850 74116\n43423 87775\n18005 26586\n33160 59045\n37727 51386\n41345 46832\n6361 85290\n10583 55129\n41663 95330\n54094 68597\n33955 99181\n6260 69617\n42006 64657\n58978 78884\n56933 91770\n80638 89332\n53828 64642\n15414 84856\n14722 37955\n33133 37749\n8298 15805\n18373 89269\n10285 83909\n48422 51753\n57242 99721\n39283 75305\n17701 41388\n14061 56750\n92210 96302\n13421 24937\n32767 99212\n19922 68861\n68664 88674\n9303 42397\n32955 94545\n79833 89736\n96982 97366\n53870 97330\n56815 88077\n12633 69029\n27285 37775\n25511 99449\n16209 60858\n59571 71644\n60943 77688\n82020 83402\n24888 80833\n39000 79305\n10646 79992\n24504 85421\n8073 48294\n57874 68179\n20402 74232\n13216 22999\n73846 75429\n97018 99512\n7459 71670\n9105 82592\n15209 34149\n29437 37065\n57887 92814\n5214 86786\n10452 36538\n8111 76846\n51826 89164\n19197 31618\n17364 91458\n5538 64443\n21824 97689\n2849 16900\n10392 76863\n9140 85434\n32765 98213\n9961 50336\n14572 74260\n70420 83043\n5449 25616\n2215 42030\n23843 87165\n10705 35191\n26037 41244\n3688 93578\n59002 99518\n40429 49248\n15485 92444\n11761 35327\n4875 75208\n55242 64230\n28217 60879\n9703 12780\n74407 74901\n69295 85148\n23137 71049\n9334 72692\n33693 35846\n16714 80247\n44447 62051\n24543 60076\n64901 75913\n247 17829\n33522 69951\n28388 66980\n46180 78116\n11922 18233\n55444 80502\n24274 93505\n14657 97500\n54060 84909\n5604 98755\n86814 93830\n59117 60988\n8151 83359\n36621 74045\n45986 51145\n72511 81719\n77794 89823\n17586 56096\n46458 67977\n43338 78223\n741 58220\n21970 71824\n44230 92091\n60317 81916\n35908 92890\n21049 79999\n55096 71654\n47810 73352\n33861 64150\n22103 95152\n45825 85846\n40619 88234\n64089 69384\n39883 63918\n41447 61700\n15074 90528\n44709 65261\n81947 82785\n324 86059\n65834 69144\n17083 91457\n29825 78022\n37236 83861\n3814 59479\n58222 88634\n1048 84973\n6743 68768\n87001 99916\n20244 74894\n90342 96109\n8347 97357\n81252 90175\n51149 67485\n26150 53792\n14533 53123\n12722 40584\n45428 93713\n49489 91824\n83390 89213\n52329 96262\n14489 25334\n12624 74106\n4181 27358\n56797 91920\n9222 48168\n34483 80933\n56150 71696\n4578 40109\n49290 99027\n35959 60189\n18977 25547\n49937 65954\n78650 90452\n39803 97467\n6483 93520\n5460 8710\n17899 65371\n70669 85614\n9958 71068\n2964 28663\n33378 43531\n6674 72643\n57762 82373\n24981 51263\n20656 70155\n56333 72103\n72128 73792\n22252 81571\n40602 45512\n58334 90680\n46109 68642\n8137 92357\n9196 64999\n1816 55571\n68606 96956\n54873 73422\n629 64861\n854 29242\n52429 57523\n11022 17354\n63363 71384\n13112 25884\n31560 97189\n76049 98687\n40698 97725\n1468 2366\n7614 74463\n36303 68592\n13992 29177\n19169 69724\n402 42616\n251 78275\n62301 96675\n57572 99520\n6633 69179\n41651 56671\n16907 43580\n8048 18809\n17287 69518\n40975 65824\n5968 43034\n36360 70258\n18961 93564\n3237 75478\n25232 29710\n65640 79725\n26469 34678\n87464 89771\n82 71724\n1772 60998\n79974 84754\n12627 81978\n62055 82813\n15596 84706\n7194 96715\n23243 32839\n3286 86582\n77987 93719\n39012 83928\n33832 36180\n29008 82812\n11724 13325\n11269 93937\n2424 16413\n2887 66702\n54456 82668\n21867 45470\n58597 89003\n4707 66160\n14942 17424\n58873 89281\n22285 30514\n66478 85152\n15877 79166\n27671 56814\n20324 78387\n53988 58678\n9754 60196\n92273 94616\n49087 98153\n43235 76381\n68490 96275\n82918 85485\n15590 81909\n36016 90957\n18380 80756\n9612 52874\n22722 76212\n29525 46886\n45737 61120\n31629 33770\n71368 83958\n76955 78891\n48865 72963\n24104 61588\n12942 71046\n4 15802\n30391 77390\n50176 82814\n78680 79848\n23562 92154\n651 87338\n15575 47400\n22409 39967\n1079 37928\n45423 63180\n32831 51242\n35443 52063\n12942 43418\n18551 49334\n5299 31579\n38151 84241\n4652 48781\n60892 80032\n18938 62442\n5514 45173\n42796 54778\n30274 87010\n49577 74068\n23169 50217\n33750 80400\n59445 91469\n19626 76221\n24415 46339\n16345 32260\n3047 67339\n40906 62948\n5439 46494\n2436 12964\n35099 91548\n4485 99879\n28613 80225\n8473 99674\n6627 76207\n23674 84585\n29114 40521\n60647 79814\n22724 70574\n72643 94122\n30772 99394\n10751 12440\n65853 92648\n39958 92300\n25284 71500\n24826 58454\n69703 99717\n44325 84183\n11460 36878\n46393 97992\n51094 61151\n81830 94166\n59660 61270\n34404 39997\n28543 89424\n504 29206\n90843 96452\n25157 65360\n25316 89093\n14409 30160\n30363 33432\n2592 2742\n41590 98233\n2441 18139\n12334 19397\n19029 55030\n38839 75790\n7373 14514\n19871 68090\n81354 83114\n8953 24714\n32623 56950\n37800 42468\n75312 79962\n17386 84332\n382 73947\n69034 91002\n16438 59549\n19294 20143\n27269 33817\n32164 94425\n10889 46939\n48122 60063\n28710 59540\n69802 80952\n45773 81159\n8769 22988\n19656 52988\n14345 96262\n16823 34429\n131 90181\n78646 78841\n2055 18589\n71103 85904\n30045 95914\n57695 99559\n28706 55503\n10093 65655\n13183 76882\n6960 27772\n41967 87940\n36576 79517\n47705 66700\n24236 76146\n28594 64168\n18780 42846\n14752 47317\n46165 93597\n71229 73567\n43585 82066\n28889 42871\n5533 88112\n18914 78954\n70427 80740\n50922 91196\n13826 89026\n83334 95821\n22368 27940\n38297 64740\n32276 32492\n4658 84823\n80226 96389\n58124 65611\n44430 90401\n37753 50393\n27925 99343\n41271 43970\n32556 91421\n7034 97057\n10145 22538\n64493 76700\n33523 72300\n36430 85246\n9745 90943\n39533 91712\n68115 83373\n72306 93108\n21443 33330\n52058 55408\n8468 24413\n61736 88361\n10139 12973\n73821 99812\n67533 80330\n52001 86951\n11319 95156\n31071 99642\n23027 42142\n60414 68210\n21394 56431\n35513 54720\n10819 75342\n1854 24963\n91610 98816\n32352 92359\n49215 78759\n41759 88025\n4427 10204\n26629 84275\n15501 91341\n22998 64480\n26432 86479\n30743 79874\n34183 37911\n29433 85841\n6251 37090\n38303 82011\n47183 64081\n13255 18404\n32089 34025\n59003 70465\n26243 29052\n4184 82314\n59948 77620\n38175 73819\n16051 48688\n73699 99637\n65098 77320\n14285 79320\n68556 85060\n69022 87316\n47299 70277\n31791 36239\n7198 24357\n29904 61364\n26095 76353\n68885 73994\n13527 59379\n85992 92526\n38454 97073\n30959 89621\n79788 98992\n90979 91081\n7608 48882\n9065 81006\n42169 85425\n14897 22350\n67161 72942\n5721 35348\n79045 90890\n46589 99000\n64143 91941\n19893 72041\n20494 27175\n63828 99093\n25211 63926\n12951 19470\n54314 85747\n45278 73584\n58145 79412\n21921 66124\n2409 7371\n46424 84305\n65229 97131\n53665 86327\n77098 90579\n44290 54693\n20351 50143\n39453 67299\n61713 79254\n53833 56544\n17524 77722\n35439 69427\n6931 73616\n43471 90720\n85606 86322\n45098 48850\n63426 98001\n23663 65555\n12702 22014\n6819 98370\n65412 93191\n63488 81691\n67510 95162\n11385 74155\n3742 49525\n40109 44992\n11816 50418\n26846 50434\n25004 32000\n26340 83386\n59799 85057\n71038 81845\n71882 78460\n1982 78994\n49120 65703\n7621 67264\n8064 92531\n5254 89837\n4167 29105\n44306 70402\n24095 32163\n32751 80418\n39643 75342\n75268 94902\n31291 98593\n63530 77019\n8842 92818\n542 26723\n85776 89120\n23786 54243\n23565 36120\n22870 76465\n7334 31822\n11240 57588\n53893 97948\n86043 88238\n59420 78013\n36338 42351\n7657 77732\n753 84746\n19607 24240\n25242 40327\n44767 57859\n36293 82677\n6249 75065\n32486 52718\n10492 95143\n80878 87303\n783 60269\n9991 57107\n27285 34239\n4659 68288\n946 47988\n20905 91917\n31021 95869\n24024 75302\n53471 93394\n82151 92521\n6697 26530\n20469 48927\n24894 61946\n68433 78559\n45008 80144\n31850 68901\n46856 50002\n31707 33902\n25506 27024\n55005 74328\n56998 66648\n47519 74133\n42226 57029\n85431 86858\n21794 82854\n31911 37650\n40704 82315\n126 57109\n32564 42330\n21018 96216\n37136 80687\n57539 89636\n11413 63548\n39780 48294\n1035 39736\n55281 70575\n9254 95193\n59730 82966\n48791 75287\n11274 22312\n29013 38883\n49953 56081\n54321 98204\n61741 93595\n16964 46045\n9219 73436\n35006 78358\n17069 97450\n31801 89191\n75740 82891\n48938 52408\n19671 73899\n68962 78357\n54322 90465\n40107 86927\n18854 74785\n29088 91475\n38861 44318\n23515 81571\n6461 9634\n35395 95635\n25138 41701\n9520 97581\n64579 95161\n16595 75106\n47087 56560\n29393 30045\n6243 40461\n17827 70005\n646 19226\n6139 7657\n4387 26650\n50968 96408\n543 45513\n53525 54121\n7743 41165\n23026 32188\n16998 22034\n37819 77343\n86812 93493\n1450 42920\n21422 93210\n33771 74995\n59892 84564\n1083 18244\n17022 36235\n25869 30257\n13011 35529\n1481 56185\n84899 87186\n7485 68978\n27429 76273\n34378 97788\n44669 91566\n13373 23157\n22734 95103\n46738 57232\n51566 91805\n26267 71333\n35287 72853\n42114 77049\n28969 66251\n50666 71027\n8339 91578\n47090 51078\n30236 78844\n26816 27568\n43025 81167\n15491 32838\n38544 75142\n25164 68719\n68403 70369\n37614 52063\n11459 22885\n23913 24141\n14 27251\n80213 90875\n43863 80582\n12359 67556\n19983 45458\n24746 55643\n26069 28478\n17935 49748\n70964 82736\n33526 58563\n36138 72732\n87920 89664\n31267 94377\n49385 76743\n75401 80774\n53581 58283\n59177 68591\n16526 23445\n7892 14081\n21893 98043\n8944 59357\n5030 85718\n21839 89438\n57526 92373\n43097 97613\n26039 33436\n4031 82178\n11000 91305\n2581 34675\n15600 54565\n73891 77938\n2185 9331\n15290 43380\n34039 85590\n10862 32510\n67793 71768\n40349 78428\n18639 53902\n31584 79438\n54507 76571\n15366 71302\n65319 67091\n5386 42013\n9184 51640\n34532 89809\n10111 63163\n38473 74240\n13155 70900\n46212 93113\n48733 66786\n25686 79281\n36706 92824\n47852 71977\n70662 89739\n31555 58956\n91895 95144\n56291 60017\n3371 50136\n2473 20966\n13056 63025\n24734 92841\n52348 99179\n80668 94219\n2951 93383\n26801 68771\n56758 91044\n69589 90214\n27126 58774\n2847 17151\n55038 56812\n54758 82116\n3727 32784\n37197 69385\n53952 76214\n7439 56036\n42783 68003\n1864 43514\n8773 24461\n27163 45508\n88047 90012\n25839 29635\n76328 79462\n9330 69872\n1041 45311\n69034 69793\n34440 83076\n27354 53402\n18529 56104\n5238 45734\n16403 76090\n49173 50092\n34020 65871\n41018 97052\n10873 17048\n85074 89763\n26230 53246\n7989 45534\n33471 35562\n4718 8996\n49036 86610\n19497 97482\n31797 53449\n22343 47919\n2834 29004\n18966 26435\n830 31101\n18126 78995\n12791 67699\n4490 46103\n31157 65622\n28227 58907\n65537 68508\n59564 94991\n49815 54806\n7363 97424\n7176 38074\n8715 46888\n86278 89794\n5338 95295\n61263 81024\n19640 71660\n56245 68861\n38700 79409\n56335 84572\n8318 97034\n20535 32498\n1201 35511\n8588 48900\n41961 81147\n21391 38272\n77221 79492\n47312 66842\n54134 87546\n1045 74877\n41821 43765\n31861 63739\n51849 87087\n635 66913\n17723 53007\n34304 99080\n66452 87587\n67230 93937\n62900 68845\n36437 95163\n74370 97625\n52964 95736\n28431 74524\n43475 89427\n9998 68375\n39416 40230\n15256 27702\n23271 63479\n41488 61923\n9521 32660\n4333 13131\n28620 84960\n72471 73210\n19944 49997\n3305 63196\n2741 97812\n50993 75383\n54051 63456\n8152 66866\n33084 69183\n16825 97832\n36738 79870\n21408 36266\n12112 84548\n5625 82393\n11014 79228\n49168 71956\n84433 84733\n27528 37028\n23204 53124\n14448 37845\n79162 86473\n22902 29572\n1823 94837\n22722 23492\n59339 69104\n4826 19522\n11226 57167\n10941 38593\n21481 44732\n54887 81977\n8426 94980\n1499 68098\n26041 72300\n33990 97419\n10028 39234\n46744 85539\n26617 57836\n81863 94670\n11560 54641\n22585 89133\n30674 67198\n40486 94188\n6616 71601\n67 23443\n21805 49794\n40920 44196\n5561 82880\n53798 58731\n85240 94642\n7936 21364\n69175 72268\n47808 87762\n12521 19247\n66085 98496\n16649 78586\n78596 98977\n46145 60288\n51913 82967\n15056 98282\n78605 79169\n15850 38203\n53229 87885\n34067 66076\n2964 35647\n43483 54593\n1472 63978\n11129 70928\n54072 68517\n12926 78364\n22787 76668\n8337 80749\n55511 98301\n5731 68119\n6510 91373\n1924 78940\n83616 84907\n56620 96697\n93145 99101\n30910 86367\n14060 95651\n74682 86351\n79997 91683\n43651 73141\n11238 66163\n58671 80630\n54555 82893\n4593 79136\n45905 86611\n22716 23201\n48365 98556\n11969 90962\n50028 88809\n14108 34198\n34571 91930\n28429 38335\n56187 70699\n21729 83463\n5243 85155\n12693 47061\n9397 30208\n46244 50414\n3408 24271\n40082 47601\n24270 46274\n33225 74340\n73662 83481\n35125 78605\n33075 78732\n28021 70187\n33610 61776\n19000 21061\n2401 38021\n25971 79774\n37278 44667\n38324 51792\n28095 57121\n20906 58972\n26293 96241\n57974 95548\n68797 80031\n15344 71474\n38088 91109\n49964 60072\n50346 80403\n32573 33168\n69896 95926\n15287 56977\n30303 71858\n34604 75983\n45307 93833\n29174 30736\n2193 9424\n29209 81143\n60217 74070\n1398 42308\n47617 81700\n29264 33427\n8404 52440\n61003 81009\n43306 66302\n2725 83770\n38922 55861\n76682 79385\n57383 67288\n43451 66792\n64930 95284\n16503 57445\n30607 70990\n17965 57512\n59706 64546\n14083 31052\n13301 99412\n35397 67107\n45288 68667\n7297 19302\n12618 57666\n51067 86129\n13666 57029\n13452 49861\n45735 46437\n1789 75645\n54739 57610\n7281 40937\n14881 22560\n36164 45308\n1282 67472\n31111 72341\n72297 98783\n515 94806\n50289 92235\n32143 88435\n23480 68251\n5143 9366\n49904 66185\n35995 42934\n15359 59939\n64755 71802\n50051 81616\n6441 61304\n66289 72426\n12089 47074\n2820 91561\n68647 74038\n25941 29617\n27016 76781\n16808 67496\n1159 58773\n21797 85706\n12716 80329\n36493 73117\n81723 89993\n25899 26190\n20218 47939\n50668 99063\n27009 56382\n3292 15488\n48205 66221\n30581 95010\n12833 96352\n7600 62399\n69557 77528\n6809 88773\n90664 97472\n66887 70241\n2534 42782\n8767 71112\n31540 60645\n28214 53477\n39624 92934\n20335 25107\n47474 73845\n33171 69417\n16607 55357\n27672 37349\n60068 96547\n67764 97578\n32004 54680\n47630 56481\n553 94729\n16191 68795\n23378 85550\n59000 67974\n32712 75848\n14667 53114\n6963 98577\n42871 78631\n16401 99176\n8914 54337\n27953 69149\n22155 55119\n26533 82183\n24015 82344\n96292 98817\n46030 86454\n62406 65596\n19486 80437\n10049 20496\n42294 75832\n17413 74349\n77169 81803\n22680 67361\n36404 96453\n500 45584\n51606 91699\n14875 35281\n4428 90706\n46425 77885\n299 81164\n85872 85961\n75843 80345\n10654 76727\n46920 60060\n13438 72109\n31538 64219\n32170 87046\n21510 65341\n18921 57570\n5368 24290\n54786 61760\n76751 81429\n31671 98187\n48102 87186\n53081 54352\n33076 66538\n9537 40829\n7973 11098\n54430 66086\n65430 85962\n58391 99530\n16951 58809\n23430 97407\n28681 81519\n16189 16704\n3524 80845\n46814 54249\n21549 85231\n56230 95678\n53827 99624\n33534 86129\n50527 63375\n54122 81245\n21532 90352\n54185 86267\n49975 99226\n29979 44897\n74446 86318\n4238 67776\n35771 64045\n4928 33818\n79075 97086\n37273 54217\n56188 81759\n86435 96318\n6792 48697\n13767 91595\n52323 74810\n20366 54151\n19814 98576\n1055 62010\n5925 60899\n10511 31893\n38830 68088\n65236 92155\n30637 40026\n14623 94253\n61583 67106\n4823 31779\n7288 25229\n32696 95844\n56592 63678\n43514 61135\n2651 18927\n32693 45823\n79506 88752\n6387 97570\n15909 64814\n25570 61966\n70600 85319\n34383 50441\n12114 13856\n60143 65687\n75972 85180\n10903 89963\n6342 15617\n43933 56646\n72715 74720\n25724 88378\n11593 60787\n766 49862\n76994 82479\n73626 75632\n15292 24056\n16612 17970\n10042 61827\n79443 98766\n30067 99458\n12434 24953\n23735 48805\n30198 91917\n52354 54885\n81999 87543\n44052 98994\n63534 79602\n15314 45142\n53325 62480\n74224 92590\n61899 74455\n4965 5206\n58977 80044\n61871 61887\n22037 89178\n59058 72985\n24545 41886\n57798 96777\n39087 79057\n11524 96652\n37029 89858\n34460 46916\n42716 53576\n21801 99272\n18159 67074\n20122 50211\n41456 97472\n95298 96928\n21934 70802\n51564 84902\n60166 93736\n68670 98942\n10381 29580\n42359 82744\n1636 94221\n63971 70829\n73044 87165\n8098 86180\n7579 48938\n70520 78013\n14516 35078\n76121 88810\n9901 27352\n6615 19259\n50975 74535\n6077 21484\n72407 91276\n83979 84968\n80948 92770\n34223 68817\n55108 83428\n33553 99628\n48140 81766\n25477 73524\n22885 55111\n40839 52608\n43728 93479\n47597 65030\n15072 89957\n30196 80867\n68634 75542\n9393 92623\n10739 17639\n8919 71907\n24135 41697\n26220 47064\n42822 81574\n58574 75714\n57148 77269\n10026 53430\n39945 91578\n50254 90614\n9385 99522\n55545 86365\n39887 52330\n44286 88932\n37769 43073\n37081 53611\n11880 16503\n6169 14553\n29743 84575\n75486 89761\n23274 67803\n45308 89265\n76843 91791\n6668 62892\n42291 47442\n50940 84632\n13638 32821\n22902 41933\n67735 90556\n50768 71980\n22134 55158\n21628 42730\n55428 67591\n36258 61050\n4632 35547\n54617 85420\n27388 86720\n9878 73132\n32610 90767\n11722 70095\n38823 70151\n65345 66900\n9116 65694\n28260 62637\n42121 93710\n87864 99682\n5672 59429\n25739 40255\n41126 95668\n84574 96629\n4518 70886\n81379 85713\n57231 65410\n64728 87563\n64041 77588\n68632 89907\n1855 22191\n48797 75288\n525 16348\n82895 84020\n4499 11438\n50435 64555\n46876 55081\n90025 96747\n40962 77959\n93068 95877\n83682 91309\n60284 75448\n5652 45679\n33754 38565\n27827 44063\n1677 38489\n59624 67176\n49406 58822\n57605 79829\n37728 91870\n64012 95151\n37691 92280\n624 51126\n33607 76203\n59318 73610\n11198 53015\n8924 87050\n56558 62028\n7707 85166\n9611 80144\n65937 99482\n6415 89846\n57620 71478\n14626 38900\n12272 33008\n9780 28367\n85921 91828\n6392 14161\n17182 25765\n9606 73699\n83088 86983\n90895 98122\n40691 87021\n32419 78212\n629 7684\n37438 67902\n4265 19895\n5463 74385\n34873 45917\n45024 72735\n55475 84629\n81552 95173\n33512 91981\n68627 91309\n5808 30831\n97976 98437\n992 94853\n61918 92010\n29134 47311\n45508 55669\n11153 59784\n2802 49850\n51178 75740\n52720 58216\n2553 79923\n4789 66633\n74903 76997\n53232 54855\n17376 37964\n53492 66351\n39550 95264\n1958 43187\n40645 78228\n7571 70874\n32154 80216\n10302 23288\n30724 83016\n37653 44160\n48251 75274\n17251 32028\n10714 84468\n41756 46561\n67021 69771\n40663 66730\n19333 98871\n90124 95096\n39709 81689\n35666 69914\n41293 97990\n28956 36785\n35752 56663\n17363 50991\n31420 51941\n51738 79851\n930 34134\n54290 68738\n2098 57658\n15519 64082\n81692 89876\n68852 98860\n33908 94257\n21892 37848\n12415 79946\n24930 82780\n15507 85938\n34348 56147\n6405 58259\n25981 58916\n12371 80480\n53392 93673\n14545 65499\n29627 71392\n24249 50389\n10593 35038\n26000 75894\n27295 72885\n75707 94979\n4728 17082\n21026 44027\n86166 93149\n17471 23424\n22773 79348\n7434 25798\n13661 51227\n40403 81729\n8766 74041\n24836 81013\n5635 8843\n66989 99232\n15274 96651\n58469 72510\n49037 56244\n17069 32827\n9511 12744\n31437 94053\n11810 94709\n27889 58397\n22240 49649\n11788 30772\n64537 68452\n31356 98817\n67641 75179\n30858 59417\n7573 27285\n30941 69020\n10529 31774\n70317 86535\n54402 96042\n36822 84050\n74261 77105\n55265 82708\n9975 18700\n45348 56225\n11429 45714\n15128 19914\n38010 95673\n19422 83576\n20837 64835\n38187 64173\n8070 65798\n50840 87960\n1566 14719\n46008 85177\n1312 68424\n4380 74107\n35087 40340\n39038 63802\n82587 88031\n21277 35689\n61313 79635\n18857 83901\n63148 75145\n19540 69576\n20660 49275\n27202 71516\n2225 3691\n64466 76867\n28658 32389\n14994 20709\n57185 99440\n23362 55121\n35931 43361\n4435 14363\n35737 98590\n5443 79750\n54333 73626\n13305 94110\n55142 60339\n20739 24403\n18448 41708\n12363 89387\n58307 95848\n19858 59808\n42884 59352\n58535 85804\n25078 98646\n36616 59747\n3064 76424\n18881 74000\n13501 43333\n80700 86805\n16896 77926\n34198 54041\n6624 99840\n34869 35041\n3835 89172\n91530 99270\n27604 52067\n24005 32350\n38571 91167\n4204 75783\n14070 45353\n26362 76452\n15456 55015\n53643 98800\n599 55047\n62952 82541\n12486 75348\n50913 71479\n6677 48995\n13505 20096\n14948 87197\n10304 83709\n13862 40983\n86109 98822\n25220 50276\n47607 65816\n39690 87610\n38978 97846\n33381 67550\n65078 79983\n18327 40370\n63402 89304\n29081 64423\n14109 70754\n10630 89644\n11514 84835\n57296 92203\n19175 75985\n4245 12561\n22621 96339\n13873 88680\n18250 96162\n82976 92791\n11246 80032\n32125 68582\n37793 66076\n36764 96859\n39406 92607\n20484 25224\n20598 83096\n59053 75549\n27925 56160\n63176 99654\n79642 99157\n92285 99280\n78545 78800\n63110 75393\n80286 96247\n3775 67343\n7409 56664\n52179 84651\n59726 96865\n48392 52380\n32975 76065\n77513 95255\n54029 98778\n35083 90647\n3380 43671\n6933 8401\n4738 87309\n71486 77709\n28685 47052\n13433 61404\n2458 72207\n8389 31521\n63665 95938\n5368 57395\n40148 79690\n51766 72382\n7982 52402\n17108 41684\n18455 24267\n23975 45537\n10473 27884\n9899 58645\n46255 93876\n21820 33615\n38109 99972\n4138 78401\n42030 63015\n6477 75007\n23319 41753\n70683 71929\n11948 78435\n98642 99377\n81396 87131\n8756 14120\n7898 19058\n25896 32996\n78326 81803\n10300 10410\n14185 19866\n4415 7542\n6750 8690\n22661 71294\n65904 69905\n10855 28851\n10748 83265\n14989 61784\n10684 46483\n55089 85362\n58660 87711\n18994 19848\n34600 38539\n7214 99532\n3020 96557\n39229 90096\n19033 28078\n25835 84508\n42213 47328\n2301 88294\n35937 54029\n38052 59135\n54679 66354\n34461 66459\n40031 99818\n35127 78199\n21725 96784\n67801 71591\n47978 58960\n33449 57832\n46890 83216\n33007 34835\n5598 92484\n31105 74312\n39816 66105\n16532 77864\n7653 88754\n38212 47236\n17258 47470\n2985 30471\n41833 98481\n26157 52713\n46762 96192\n4366 29693\n9690 92398\n21586 72792\n58415 90185\n20769 82996\n16734 95998\n16925 43366\n59911 61509\n27421 84791\n95495 96862\n47163 99530\n38338 46836\n12854 63929\n31751 73502\n11483 44686\n40560 50567\n26244 49242\n209 13641\n82782 89640\n3186 90329\n74228 86307\n19201 57437\n64096 86264\n6318 55305\n38433 72825\n3376 64011\n83826 89914\n3718 4421\n37229 69417\n19822 64827\n32766 44150\n48621 80921\n53374 60345\n45491 47526\n18939 53849\n73067 85797\n17832 44669\n14836 48534\n25885 80536\n45267 73610\n6011 56053\n47842 75081\n76812 85854\n15950 30974\n57575 93514\n21096 80332\n37259 59294\n28347 67608\n43995 48999\n43461 57950\n37367 60076\n47660 97564\n81651 83961\n16396 53169\n15293 76735\n6064 8164\n7124 76082\n21453 52537\n15893 88134\n26167 87612\n43658 85483\n44936 74861\n70277 81867\n17752 47012\n10103 40284\n20192 43869\n2726 37158\n13502 45828\n62037 77415\n2362 69706\n9147 92351\n6101 99179\n42985 72819\n15137 46637\n34836 94440\n50111 51799\n69298 98803\n18456 64168\n34197 64413\n41129 74476\n34459 84121\n5548 19824\n3233 76637\n35661 61179\n48753 63204\n86222 90497\n45325 93841\n28204 89464\n20882 27878\n12563 40154\n40658 78415\n36564 43811\n15191 37410\n31595 54692\n28415 97987\n9362 13834\n20622 82861\n7606 50495\n52237 89193\n3902 99022\n34423 60473\n38915 76926\n8463 51526\n1335 58755\n45317 73671\n28327 37020\n67811 82041\n65444 90728\n64282 97848\n27344 85619\n33485 59687\n47995 79988\n15219 66516\n14374 57577\n12705 87271\n21231 83489\n38781 73393\n28890 28944\n50921 88154\n23011 57366\n10662 19668\n16635 65397\n7153 22762\n39988 93586\n86565 95251\n35010 89898\n74680 91376\n3892 28984\n11605 56435\n60351 60389\n18284 39536\n1457 59070\n18140 82796\n75221 91689\n35609 85456\n21729 73562\n326 68000\n21457 39748\n14082 75229\n44283 44641\n61758 63091\n659 74097\n80208 93881\n97388 98006\n20456 26327\n2657 76366\n79717 89812\n28535 64622\n36980 80427\n40721 43705\n41553 76558\n20045 92254\n37177 75830\n31476 65707\n62599 85177\n20198 61404\n51777 89260\n2222 38685\n38945 87010\n24429 41012\n28214 82227\n42553 65064\n17066 20389\n77976 88809\n40963 94700\n61982 93314\n6735 34729\n14807 29290\n14409 15985\n25196 73464\n31060 80710\n44852 69865\n64010 69578\n28519 84050\n30567 71454\n26354 46093\n29195 36355\n50550 77562\n46970 73935\n43000 87577\n17298 40742\n29001 71393\n66948 94874\n9572 82987\n30920 42323\n28955 52346\n91565 95029\n6717 42130\n12309 89351\n3735 83620\n7407 82408\n16470 36831\n51300 61743\n9131 81193\n12651 76041\n59908 69158\n71736 98269\n25221 28431\n36940 97031\n37664 72188\n31158 34999\n56070 81310\n23378 26576\n44091 61524\n7322 23059\n35151 60583\n891 87551\n10153 69122\n44508 47400\n17697 20798\n7197 71390\n26736 96892\n32089 88438\n24209 98221\n21099 59638\n5520 21635\n43902 77363\n47193 85212\n25680 56888\n32717 96533\n47658 66105\n68304 69905\n44677 59787\n32156 59918\n58655 92463\n22295 80330\n34362 95160\n37933 39914\n52469 60307\n10752 85665\n10110 64725\n4648 24107\n219 29503\n28834 48353\n31289 51123\n8753 96406\n15716 84875\n33874 72895\n6232 52850\n2908 13793\n12016 77377\n14819 23890\n25834 80860\n67625 72363\n15648 17491\n933 55190\n2701 92858\n74233 97204\n25345 47547\n34901 42647\n69514 97512\n9706 99779\n29802 90690\n27612 62782\n73810 80595\n71811 75753\n6231 99977\n12167 62894\n13111 28004\n31461 73918\n33850 98642\n77654 84536\n18565 49693\n55458 76251\n89681 91603\n20755 89236\n28070 80376\n5862 71837\n36184 47176\n18119 29323\n81033 92124\n34106 36868\n5514 37755\n10025 71842\n23861 50316\n129 19152\n10173 95199\n24794 70213\n49377 89200\n49994 62899\n27950 56357\n6592 20278\n20617 62469\n25399 90299\n35576 74847\n27601 53736\n23419 84477\n50269 86876\n51446 73690\n87053 98804\n74451 79985\n31449 93087\n37799 83054\n37665 73977\n6586 58195\n36190 69753\n83175 95491\n52177 62486\n77561 99448\n21220 98823\n11314 36896\n7994 47691\n40033 56608\n7028 71568\n93633 95571\n5767 98298\n12344 64308\n1416 28040\n20233 39124\n65118 86884\n43148 72257\n24784 42943\n37057 62603\n26085 44667\n16513 31432\n36967 79947\n75173 90568\n29351 33040\n24988 25568\n69894 99652\n35450 80997\n12493 45050\n26769 89403\n48151 69170\n16582 23472\n26532 82738\n41533 75557\n7600 21167\n3465 39367\n989 50063\n34494 77671\n33349 53140\n23685 24051\n47565 81955\n19071 31694\n50254 68888\n14865 58618\n31026 61139\n37125 76061\n23164 55485\n72272 74151\n7174 72210\n40364 75626\n20408 26390\n48268 98413\n78727 94406\n73606 89569\n39401 93078\n12840 21056\n36056 86204\n22553 61749\n14827 97327\n23965 75335\n26559 79211\n11618 55598\n55387 88287\n15030 42210\n13943 43499\n74361 97803\n29842 49299\n31372 56841\n59375 68002\n75875 84659\n39141 83802\n26809 66970\n20981 64404\n64494 87125\n78418 93056\n68190 70235\n63948 91019\n13835 14918\n76330 78920\n21046 44677\n52624 75045\n35515 52352\n19286 51613\n7808 24005\n51466 53411\n85858 94565\n31387 37773\n32976 50988\n19454 88894\n14294 28645\n42847 56336\n41065 66289\n3506 90099\n24896 53480\n25403 51029\n65718 81165\n9788 17452\n45889 78302\n66981 68485\n13882 77756\n30777 96926\n68012 86942\n35715 60724\n20720 31923\n45187 49591\n10609 41412\n6198 49849\n17578 27596\n2987 46970\n2624 28167\n38159 83427\n3388 61784\n10340 33649\n23778 48465\n2053 90252\n87355 91544\n39541 96792\n67927 83340\n62284 92401\n27896 96441\n9406 44875\n52233 87369\n7330 99563\n5879 32325\n7575 44354\n15594 23545\n7832 30025\n63967 65439\n12320 69431\n48998 72828\n16232 51741\n49815 85876\n47473 82830\n49094 72486\n28841 64937\n45841 97799\n3965 48736\n60910 78646\n39891 55097\n16216 98877\n25005 93773\n74438 97552\n51967 91567\n3442 24839\n57240 99561\n47692 92286\n50378 71580\n35960 93654\n7285 87609\n4394 9002\n66962 86608\n20753 23766\n95719 97482\n34495 51012\n43362 67740\n27208 44895\n43710 86505\n18465 54648\n31232 44886\n40545 55674\n29864 72913\n16259 64560\n14695 67316\n1773 23774\n61382 81811\n77001 86045\n42057 78052\n27806 90564\n55594 83975\n36447 62308\n5228 95063\n28764 35958\n59133 75051\n27998 31853\n30366 44162\n40348 52750\n69582 91085\n10850 25091\n4409 23273\n46771 59932\n76009 85854\n46664 73322\n46068 68899\n1648 68158\n3208 87332\n1932 63301\n28745 32710\n83559 94240\n1005 39926\n53811 94621\n168 52939\n19402 61869\n24566 99980\n60023 84401\n68515 89564\n19178 81528\n31425 74366\n24099 88212\n2937 91525\n36733 90852\n10485 47540\n32549 64899\n5765 71095\n22739 72054\n42374 83493\n9223 82139\n65447 73639\n45319 56742\n21188 58467\n68794 97290\n9799 26600\n10648 45335\n40447 65478\n13443 22318\n3571 31176\n39885 50800\n93135 99085\n20208 39044\n2054 93898\n64796 85128\n20358 40946\n23709 71821\n47875 97353\n78415 82111\n38901 72114\n3406 72717\n69444 95252\n14549 24781\n11234 67544\n7237 44865\n2391 88931\n56257 68964\n49412 53744\n4475 30035\n87026 89415\n71233 93456\n5591 35085\n5893 64840\n61797 72142\n16396 93799\n37143 96500\n18973 27414\n67498 92431\n73525 74674\n95398 97279\n37586 63555\n62600 64679\n1731 25700\n16597 42014\n71086 77701\n49752 95729\n33557 83324\n16760 34646\n36050 51804\n34321 51465\n23436 82173\n58163 90593\n4418 67714\n48456 66136\n46525 94221\n16589 46717\n12307 95205\n24809 68196\n10943 35187\n54662 63467\n18223 81569\n8220 15674\n55093 65663\n52300 86654\n5523 48275\n41020 60663\n26563 62666\n37745 65707\n2137 62351\n62118 71422\n22250 46496\n3049 67741\n22424 92778\n5495 44412\n15085 45687\n53401 99742\n49617 58283\n94927 96050\n4081 24963\n55961 63906\n26250 70417\n47667 88724\n20596 51687\n33171 38920\n34430 46018\n49361 68725\n7713 35567\n86822 89373\n65035 88042\n9363 70825\n45233 52850\n54018 97124\n8825 25712\n7620 86626\n34986 38276\n73671 79724\n7561 30763\n82853 83890\n16576 45924\n63265 95250\n7401 17559\n21342 63668\n30282 73304\n8084 10971\n56280 65150\n54822 99344\n15025 76670\n10981 46751\n75615 99327\n24855 94549\n40040 72033\n74231 85490\n63158 80175\n31063 97793\n38879 56419\n62952 68039\n50676 86589\n606 22400\n18412 58381\n15080 84790\n15677 98290\n28425 79260\n71459 79148\n26344 38926\n83603 91495\n57118 64913\n4075 40224\n19702 43835\n52420 94635\n929 26372\n15489 62809\n46945 49216\n1210 22660\n78450 98639\n14755 69419\n55600 69334\n39124 55384\n3256 74290\n1950 24152\n77314 77753\n10633 62100\n16638 28234\n46100 57296\n3096 20479\n60526 75269\n52339 75249\n27567 61422\n35075 85452\n25026 68992\n9703 66535\n88609 99291\n17304 23590\n76495 83715\n49016 66362\n20666 79069\n68406 94333\n25346 94202\n79802 90887\n39031 76339\n31414 98805\n24446 77639\n18265 19355\n48874 78249\n42124 81495\n44615 48564\n39762 98136\n23261 24650\n58589 81104\n1779 94264\n12883 89814\n31566 73755\n5499 69257\n34638 77983\n47202 57979\n51990 58486\n85526 89114\n2061 94326\n19253 53150\n65383 94975\n534 44966\n38415 88248\n8114 66468\n23583 59589\n16283 67756\n9093 48866\n69058 93663\n43125 74725\n45484 54184\n1778 40683\n23413 66645\n7905 49026\n3906 27131\n5276 31435\n66111 98631\n2904 56890\n7232 88476\n16357 97925\n46263 94011\n39584 86190\n82778 97227\n14202 67231\n13807 27936\n52956 90300\n42156 60712\n27563 85805\n35509 59573\n32813 57668\n88620 94293\n14132 43338\n524 98961\n34964 52483\n32365 72699\n46146 79168\n46676 84899\n58826 75300\n14190 42109\n82980 92276\n74257 98759\n61887 93665\n30880 64408\n20523 85131\n12737 74721\n15011 36279\n5199 45551\n59516 93781\n12861 92781\n57867 87633\n21646 96930\n4914 13806\n61029 92853\n4102 52444\n21275 25570\n4461 81398\n36065 81501\n3622 55448\n74332 83378\n31390 99372\n1132 64396\n63927 93776\n35458 74786\n7053 27655\n68127 68197\n30619 72359\n47353 99930\n71455 86821\n1330 28164\n2143 89606\n5314 27609\n42028 94924\n86030 87314\n28233 72680\n22460 51166\n35495 45114\n22568 37734\n7978 66190\n21741 30057\n2697 41268\n27836 29151\n34980 71898\n13303 79100\n49806 71160\n47790 59323\n22563 59881\n12362 86800\n70863 99239\n36871 78261\n26015 29608\n14547 15375\n24152 83390\n43648 97910\n44149 44194\n51468 89216\n3290 24907\n55220 57631\n21072 74851\n34668 37391\n12452 44035\n12313 89207\n32442 44342\n87687 94259\n19362 50417\n32769 51105\n43527 98634\n19863 36410\n50912 64694\n18776 46668\n40976 84945\n5305 16012\n13101 14739\n6726 63647\n68350 88057\n41494 56823\n11565 40800\n36425 45506\n46556 66033\n45918 50348\n64066 99494\n1737 92663\n11367 37138\n53543 69703\n36587 86945\n19877 81037\n7362 76456\n19331 32104\n16868 37255\n18971 94508\n6952 27004\n44052 51940\n71 55781\n61907 97259\n48149 98526\n42072 59267\n13901 63209\n141 96485\n50241 83775\n75701 90894\n67205 98269\n2680 5442\n68477 79092\n14702 48285\n49717 81076\n5609 66223\n28598 45479\n57147 90611\n64461 90781\n36692 91886\n9420 15100\n32591 41387\n41553 95612\n10790 53613\n12207 61283\n25864 54537\n87500 91404\n20000 28175\n37575 53319\n1346 69994\n31799 68069\n65292 66688\n32351 61767\n33423 55598\n12881 93053\n2627 76931\n58794 94281\n15282 55525\n2125 26895\n54836 92274\n41111 72147\n11382 82404\n58628 84719\n34905 99794\n7335 99929\n10633 93330\n16780 87188\n1852 90966\n22850 96304\n40594 79365\n18863 93694\n2728 99615\n4208 17033\n49705 87492\n8888 41871\n35957 45607\n12602 71852\n18859 91526\n41629 60718\n45805 64737\n48098 84811\n4818 33951\n38469 59644\n27670 66741\n9202 35583\n52762 66714\n31166 44179\n23060 78105\n71285 89914\n5789 54580\n51498 54585\n39563 51442\n26133 28346\n17225 34514\n42317 53817\n51576 63997\n42980 97061\n15436 73464\n34680 50887\n25935 54457\n22694 62593\n56196 88262\n75816 93438\n3079 28488\n16889 32487\n24390 93429\n26719 64276\n21906 37922\n42176 49613\n4453 34681\n80150 82273\n22323 33747\n16614 78970\n41292 52646\n8761 94624\n15216 47009\n17205 76704\n55466 97520\n47649 92743\n18177 52347\n85413 97304\n28111 55891\n49937 91536\n61615 79590\n44483 53489\n6471 84187\n2332 5308\n16134 25601\n40585 96765\n49614 62399\n73771 85474\n30952 88229\n25988 95315\n94278 97992\n63051 82140\n5650 6816\n5477 60482\n97784 97881\n22143 47256\n60578 85059\n10182 60715\n4126 39586\n44778 97612\n2130 36501\n46626 78299\n19272 39396\n2727 21991\n8359 26201\n28397 65745\n17959 57430\n23421 54097\n9729 49344\n4968 79821\n33739 76072\n38886 85852\n40253 78801\n28914 54568\n23518 23686\n1061 45142\n10908 44233\n21868 89648\n38742 89056\n52236 60351\n5088 85900\n9870 23192\n34500 97273\n3893 80486\n5062 63597\n4003 46432\n34208 99613\n12780 54086\n48604 93949\n22962 81400\n71673 78914\n42041 90998\n29326 49770\n26411 49151\n18604 72706\n28484 75379\n29247 60906\n64208 98906\n41527 42941\n40617 94877\n49118 51206\n61379 73484\n27267 33047\n36088 97143\n50212 64221\n13780 91714\n21434 68785\n12368 93626\n49799 58899\n5925 32115\n63065 65939\n32648 45504\n20612 50171\n73807 98203\n8136 35101\n34073 85362\n52858 81806\n30944 86912\n21885 61100\n2109 30719\n9914 58748\n37029 95676\n36081 59822\n5822 33873\n5847 39402\n49777 71939\n16381 17823\n20951 41111\n19599 40670\n86556 88729\n79309 88007\n63331 81769\n37047 44158\n19885 39754\n57186 77779\n7427 99751\n55421 90027\n3012 79032\n28729 43987\n6338 31887\n4154 47282\n51912 80481\n25195 88963\n19313 23581\n77414 96066\n64222 72083\n87189 87480\n16838 18079\n24617 93893\n18920 98230\n902 36226\n15720 71779\n42300 76118\n13023 66499\n37983 97717\n9574 51681\n19711 38197\n51630 79593\n28823 81832\n41591 87915\n18993 53595\n84231 89567\n58980 99507\n13830 48480\n18553 77710\n83509 84711\n54275 84019\n42449 47882\n33090 40545\n73599 96891\n27156 89840\n15325 61381\n63469 96608\n20291 22867\n27282 52965\n23636 73468\n1731 22168\n15729 37120\n49512 69887\n12659 54995\n40616 70894\n45387 55541\n26032 66881\n2277 63355\n15515 85780\n6275 57619\n16094 61012\n41374 75350\n71989 87301\n18643 46882\n19822 25030\n52217 69009\n15190 99957\n84974 92532\n44855 77644\n35543 72540\n34750 54793\n21391 64467\n26027 74478\n34464 62700\n2492 70343\n55056 58427\n32679 87851\n13341 88614\n9545 52475\n7815 97018\n4188 81931\n47318 66956\n4462 99927\n2843 7249\n84994 85434\n53990 69361\n23753 63274\n80427 97003\n56529 63829\n14880 81781\n17455 81942\n53211 78661\n5057 34169\n24399 96980\n52388 63079\n19389 65657\n44600 74388\n62361 93512\n28218 32731\n19561 28455\n9527 15545\n67466 82256\n56755 69122\n12549 48942\n32773 57413\n53429 88655\n54836 67535\n35049 98227\n30805 96026\n25757 97479\n3630 17543\n25498 74888\n59737 87022\n28531 94532\n23135 44434\n1724 1845\n64467 94243\n42420 70706\n74437 83432\n11156 70240\n37996 38885\n65682 99568\n27236 52470\n1517 66845\n40215 79186\n26126 92486\n4394 88492\n67801 75383\n25784 32231\n9647 67049\n83331 85981\n24430 39148\n46294 85948\n72395 73939\n7603 94693\n5154 57077\n67237 97921\n50494 81055\n22239 75101\n5401 27691\n3203 68600\n24935 98658\n28637 31803\n88379 92566\n37148 49326\n28946 30338\n8311 36113\n68636 70759\n65954 96965\n78231 78796\n7035 8595\n29539 38111\n4394 49623\n48274 64686\n38676 95959\n56519 86684\n21982 78848\n14055 24792\n33838 59632\n33940 40712\n5346 56952\n37149 38690\n13312 97657\n47313 98771\n11039 35534\n54701 56990\n24109 96421\n17997 99503\n32607 74505\n16805 45484\n47712 67295\n1779 30696\n91531 96456\n10039 76145\n84023 84259\n36264 89340\n33629 79621\n41228 84095\n62089 81732\n23756 72884\n22989 45507\n84455 92628\n24266 81390\n8105 26344\n4080 86460\n52622 75815\n62439 87125\n50143 90851\n20758 45059\n17856 95597\n24489 95335\n18544 48617\n33580 34956\n13784 71913\n847 78792\n15849 57219\n31717 63797\n55597 81784\n18984 26413\n49777 81907\n42799 63729\n36260 85203\n22659 23628\n38714 56972\n16726 21545\n75671 88117\n68283 87449\n13487 94956\n75926 93329\n49953 83122\n14225 94899\n35170 79879\n23749 57500\n50672 69255\n31318 68423\n43727 46178\n60848 82417\n65174 78479\n2265 80737\n85718 86177\n58951 90907\n39100 54371\n35442 93840\n82281 92653\n21760 95136\n29482 39174\n4362 37017\n40093 63477\n70310 92649\n53981 81088\n15497 37276\n32542 87373\n36616 75427\n37206 72189\n12917 57169\n50953 59164\n6023 13880\n14465 84110\n34404 97284\n50816 78243\n19878 98824\n30131 49686\n11001 62736\n16607 42922\n60513 92331\n2898 88804\n176 32714\n49621 70301\n16968 47564\n85707 94202\n47587 98957\n40997 65551\n31968 53998\n3162 56565\n50620 59246\n84593 94547\n30971 84003\n40368 55439\n15429 39769\n39315 80524\n1550 90917\n40100 75739\n17703 49197\n30897 96804\n11949 31099\n4779 14199\n53616 99623\n9811 23977\n11685 58670\n2154 74460\n12425 85586\n68867 80860\n57949 90479\n1009 45477\n21458 79866\n31069 51827\n23093 27192\n23405 97788\n79082 97937\n14515 44800\n14478 94185\n4283 77984\n17002 49870\n66304 78313\n950 71488\n90601 98612\n60521 65026\n65563 76457\n40702 48333\n53811 75220\n25702 46567\n63097 89646\n71421 93995\n19981 80189\n51575 77897\n61864 68141\n14890 29255\n8696 10479\n88643 95345\n3598 53322\n75875 80212\n65750 98127\n33205 56569\n21587 48251\n42277 71072\n61240 99715\n43412 55773\n24996 85942\n55731 94672\n23075 28099\n25432 90379\n64933 82137\n7412 24160\n36979 50123\n5526 16066\n19794 96145\n57767 64005\n60505 76953\n82901 85411\n75584 82698\n8440 19000\n1397 45550\n64082 91934\n32565 43996\n30600 91072\n30460 55693\n68432 87533\n20513 63298\n8731 88461\n46196 92751\n4924 18124\n11293 11645\n1563 19493\n21966 24558\n3157 38272\n9762 41713\n25082 32354\n31090 49164\n34246 64170\n58343 75851\n22389 72331\n18160 29637\n57407 79960\n8615 16542\n6237 12935\n57322 94795\n47500 73888\n11263 51629\n5205 24897\n792 4108\n11805 15279\n34819 57997\n41223 48543\n59471 81872\n48055 64340\n24904 46917\n55004 80746\n10555 45545\n5874 15645\n24156 29396\n76503 83306\n4163 30541\n20415 75014\n70862 77195\n57007 79978\n64914 95948\n30123 69195\n10437 64502\n27021 62230\n12052 80359\n11283 86588\n2587 85615\n21294 68119\n70171 81917\n4976 26769\n30924 92862\n41730 85448\n82547 91462\n6897 59328\n42408 84221\n85370 91280\n23513 74157\n10468 73512\n23387 55832\n74591 99399\n40718 67409\n35042 94657\n7194 10907\n7563 59090\n13310 73885\n74779 82815\n72702 72994\n49470 75439\n10152 68993\n36598 88015\n33413 69575\n53282 79257\n61515 84807\n11228 14123\n48915 74024\n44724 66352\n19298 46475\n67772 78740\n28137 55455\n34878 95099\n18850 46909\n9577 64394\n1020 85516\n68598 92588\n49972 82828\n20143 83554\n4516 55824\n8853 74608\n51571 52595\n26714 75480\n32726 64886\n40310 88785\n50934 75464\n35143 96245\n23751 45942\n42560 76237\n238 93196\n50580 78834\n839 94630\n42316 83878\n38391 93075\n31660 37947\n23746 57242\n54281 55141\n10309 11346\n10727 48674\n10853 73886\n76368 90324\n36041 60121\n6219 78891\n68095 71026\n20890 61824\n23720 48431\n15509 17475\n11370 84848\n5527 67877\n8981 25166\n45116 84787\n1740 72179\n78203 96785\n1037 38118\n23184 74244\n69159 69909\n8349 19078\n24264 61509\n68051 87213\n13199 89006\n12251 81264\n12404 12903\n23094 28341\n71192 81481\n16543 38517\n30997 36825\n26213 48536\n22837 40278\n31367 74431\n38238 76413\n75008 90988\n13956 88590\n7906 69066\n32243 67980\n55393 78476\n3540 24338\n20284 70845\n2064 34514\n77839 79967\n37285 61385\n7432 99974\n21550 64604\n48146 55054\n17105 48181\n59892 96939\n53232 84917\n23016 68199\n42690 44508\n17218 76239\n3944 43787\n56337 79886\n82720 92836\n24512 52435\n86755 99104\n7823 68782\n38078 49529\n46402 89309\n51632 73778\n23014 98264\n39002 95945\n14702 62139\n26110 31697\n8870 63856\n53835 83389\n64816 67764\n2800 73545\n72153 74430\n1035 53465\n31683 57304\n29278 51568\n4837 28814\n62588 83365\n28810 40554\n15916 82317\n641 23140\n38120 80813\n24326 51451\n68744 98780\n78265 94826\n50329 57104\n21818 84559\n91575 99624\n4002 92159\n5240 12737\n10623 86822\n54400 74578\n17447 34910\n1824 89544\n30719 59508\n30379 79767\n80914 99416\n8759 37702\n3522 52512\n16083 78264\n19682 50354\n19635 25382\n61588 88396\n66487 99377\n76210 92305\n10674 42016\n28956 77480\n66687 86772\n25223 99534\n47407 85560\n16507 24489\n1206 20976\n16609 63482\n67592 72556\n7115 73198\n53055 65273\n28264 86976\n78432 89774\n57855 91296\n7582 68062\n14237 59335\n12760 18859\n5880 17986\n10886 86959\n72081 85543\n27159 93734\n4710 74002\n27351 71837\n43086 46003\n65073 75044\n10167 28268\n30728 94197\n22368 44403\n10478 19867\n35370 94398\n26199 97041\n23732 78286\n62779 76257\n30238 51242\n75272 98459\n11028 21660\n12981 60497\n1943 19825\n2112 33990\n46711 92824\n6520 20640\n86361 94383\n58015 95625\n71355 73359\n2169 22268\n18812 68545\n35584 44836\n47667 67741\n18379 66784\n22529 84935\n89227 94303\n4531 80260\n68502 76930\n28035 78695\n20916 95189\n33050 89169\n32642 91029\n33237 52949\n70254 90359\n47635 58063\n18899 77000\n65305 78670\n17126 94669\n43913 96722\n1827 29411\n20032 36210\n3595 40852\n47392 48507\n49804 90209\n63932 67716\n51697 94351\n36100 76251\n36053 43664\n97409 97792\n49806 92013\n14744 86614\n2322 54935\n30803 86713\n64537 66994\n2318 17130\n13865 57167\n4224 99169\n15487 74864\n4849 42979\n23264 45829\n46179 81784\n5628 43222\n13575 41142\n55627 81038\n20829 40836\n41767 88744\n18746 44232\n8181 14134\n66378 68940\n32704 57289\n9359 85166\n7350 28223\n33496 80831\n65962 77621\n40061 74203\n28819 95250\n250 76393\n41305 90230\n7449 93363\n1601 98681\n27617 94415\n43139 86025\n23724 84688\n24112 37064\n46509 55897\n66646 81362\n21301 62411\n15210 70190\n77144 90032\n24961 59124\n25588 71925\n4148 53264\n10038 37190\n34593 45649\n3916 52523\n11091 47039\n12185 30095\n43455 97140\n22293 97731\n44857 48165\n31321 34243\n23045 92390\n7982 33218\n33507 92804\n6851 51019\n15572 45624\n42340 68824\n16784 49950\n16622 23057\n32945 95250\n41640 58920\n34042 76692\n45846 57049\n30891 52073\n26318 46889\n46804 74344\n73209 88963\n2471 49687\n322 74637\n14306 95703\n76617 99532\n63587 74819\n46986 50232\n3612 15727\n64160 76231\n26556 45285\n46616 81274\n26765 76836\n41249 98678\n5511 54158\n51356 64016\n20623 44757\n52178 78562\n68088 71692\n48696 84507\n16027 90332\n58347 59932\n32936 49679\n20869 62383\n50063 78722\n48585 75997\n56012 72663\n11132 74310\n59406 73000\n23921 76861\n39767 70266\n79387 87176\n44198 89360\n1422 71287\n38301 85640\n3600 72152\n7684 53142\n8442 54895\n12831 24758\n69676 76916\n18504 93074\n12858 84989\n51326 96476\n23181 48009\n24149 45369\n26650 65128\n20431 45522\n2641 94484\n41739 58139\n69063 69837\n40885 42813\n74060 92859\n471 62274\n48512 86036\n62878 79930\n18816 89165\n7942 17667\n65317 85266\n4735 82362\n19496 61532\n5464 5484\n62473 79048\n43715 56811\n25573 72406\n14089 41915\n2078 53739\n60764 82560\n82536 84290\n20186 58910\n47432 55876\n47442 73182\n54012 58559\n11183 53273\n52746 76375\n18597 87105\n1695 49025\n36316 83354\n9668 68870\n36812 55322\n12746 25301\n88328 92446\n55247 56334\n9115 55837\n34374 96427\n34565 56234\n91617 96245\n77461 77903\n53185 76267\n56752 58069\n76087 82030\n60245 79788\n21067 34555\n18851 98251\n59839 80724\n70088 87874\n40684 60872\n31385 71472\n31660 62269\n22218 42313\n58498 60393\n34980 40773\n15634 55696\n66262 96287\n57508 76787\n28518 53567\n12575 86009\n13349 35935\n32023 34929\n40270 94030\n43793 95325\n24571 39470\n52372 72313\n7394 32346\n30234 74555\n63408 73796\n4648 30948\n20968 42061\n37169 60358\n34276 65856\n44690 61801\n25627 33992\n31928 41616\n42343 84488\n49119 66575\n20292 54163\n12585 91683\n10356 70072\n71873 85244\n17108 51790\n27857 52122\n17970 26749\n60234 84865\n15449 86850\n55260 96480\n50392 82016\n48116 74180\n6822 41041\n67142 68830\n58662 72162\n57521 97588\n36509 70653\n33992 98066\n907 69816\n47494 60532\n12790 79081\n32981 65868\n41588 43895\n1866 18805\n77063 80628\n47945 51114\n75019 76320\n60383 67858\n71915 74121\n43188 79974\n53378 86758\n95815 97877\n17065 62209\n66176 83146\n15557 81255\n34234 55473\n76140 93954\n84556 87789\n62469 87860\n70582 82075\n26821 31876\n1337 22626\n26384 96442\n49510 79410\n18236 33474\n60444 85759\n14544 77727\n19918 71350\n10749 80891\n47840 58191\n53489 61926\n29722 61606\n8286 72392\n39481 48773\n46210 87970\n23488 55416\n31480 37213\n10682 92476\n82755 90129\n45487 79222\n50202 55972\n76087 90355\n1826 38355\n37170 38721\n38820 81130\n16754 41084\n52183 54160\n19049 71378\n61497 93896\n79005 82508\n50989 68140\n11020 21013\n43055 73054\n58317 66809\n9098 55979\n20867 72494\n11281 20581\n10077 59149\n59115 83174\n15183 63380\n30781 49454\n63138 94823\n31367 44862\n64114 69616\n54911 79512\n36343 46975\n46580 50651\n681 5391\n385 50193\n2105 37054\n72312 83706\n41660 87240\n37338 93771\n36772 67557\n44161 79769\n12813 88209\n6079 34593\n17076 33999\n56140 75315\n37276 92020\n6314 43735\n79066 89126\n37178 57698\n60859 93840\n51144 71049\n2035 31363\n13388 49921\n37916 97816\n13656 59080\n1038 52540\n11481 35804\n81855 88461\n59886 82165\n25452 85626\n38014 57669\n41123 93120\n994 42657\n79373 98793\n30261 74442\n82450 94010\n18444 44313\n55068 96573\n25013 88766\n46796 64371\n60908 79028\n1986 58897\n42103 62097\n41507 54382\n66441 68173\n57068 92006\n4685 83904\n20714 59043\n17645 52228\n36902 56070\n12112 59372\n30539 90146\n25927 91353\n78223 90203\n27500 58194\n21238 35672\n66794 86404\n66987 88336\n48078 93907\n17466 22706\n52811 59984\n21516 96167\n41220 97281\n45394 57893\n27734 84573\n88689 95333\n11748 48227\n38766 83135\n30348 94861\n50286 94308\n30563 82636\n79249 96211\n61350 82246\n27586 46742\n54555 56106\n1082 76739\n39391 42883\n62344 87313\n53623 77169\n18191 24318\n38382 93429\n13133 79371\n1473 52342\n35167 36651\n16998 48921\n85877 93875\n8859 19190\n50130 71812\n5350 25923\n73216 75996\n33215 94807\n30499 82434\n31087 72788\n64775 78817\n22442 41737\n84409 86820\n68139 90501\n13215 22128\n22704 54924\n14294 62559\n25626 99852\n42697 87145\n31464 62461\n9037 70382\n89649 92487\n62572 64685\n2169 4580\n26645 56117\n3332 97665\n44643 48587\n2005 53956\n806 16280\n2114 7965\n38156 39115\n37788 82378\n98 63758\n18985 21298\n2935 68654\n22277 95298\n30478 72426\n76646 92110\n93426 97513\n67685 74298\n40958 56401\n85805 97317\n92219 99061\n38156 72788\n21401 54600\n47691 85811\n40187 52214\n7294 60191\n56513 72631\n31931 54573\n27339 31095\n26668 76166\n3041 56151\n70035 95787\n51853 76490\n52072 88629\n19665 67158\n35997 41284\n12012 72118\n31318 51882\n13507 78493\n34586 50066\n9640 88345\n23245 47233\n21467 60419\n13535 65492\n29906 53340\n27842 36696\n17639 20231\n7487 73350\n12448 31020\n17491 83414\n45798 75949\n55281 93099\n63287 94998\n54992 76012\n84817 96783\n16405 65241\n39558 60456\n7613 19905\n35258 64808\n14034 41538\n15521 69731\n34056 52278\n20446 95713\n51557 62771\n8993 84926\n61733 84421\n28752 45121\n74022 75635\n9237 94721\n36414 68383\n66369 87672\n49828 84934\n79180 87168\n16114 63874\n3761 15192\n3816 42593\n48227 66420\n38604 44146\n56588 68672\n1438 9145\n67103 70580\n42440 63393\n26039 59422\n8591 61653\n40346 90222\n18395 97833\n4027 66011\n56915 86589\n60464 63301\n38939 70607\n268 75074\n23201 96530\n12307 62427\n23251 38633\n8454 73894\n12862 94933\n8238 59411\n42340 94369\n30871 35529\n29262 83246\n54752 74179\n6785 62182\n37576 99719\n58789 99247\n37628 65571\n27 96804\n23088 84957\n31124 94192\n26784 78221\n2895 24061\n46746 69449\n62297 91790\n10876 88273\n4469 33914\n19205 71529\n19133 46282\n24491 29141\n760 76142\n85083 94833\n68203 86841\n60428 61920\n40626 44833\n30471 44476\n58412 62643\n21666 37570\n15900 52745\n46208 77236\n38356 81796\n27596 36716\n54605 96954\n32163 79732\n20260 86587\n18230 81956\n7018 73101\n23439 77648\n44338 66161\n41822 67684\n25914 71227\n5457 51049\n13476 56938\n16519 18939\n18261 39845\n12684 37771\n20400 29591\n69198 88307\n44284 62110\n43835 96409\n27594 34323\n9257 52278\n28628 98553\n25608 94553\n14385 49019\n20286 35880\n74054 84734\n67923 96727\n87491 96220\n40975 85457\n4790 23714\n47011 60703\n15614 55427\n36530 92159\n47324 59092\n15335 24080\n72524 90585\n1898 40120\n3544 7564\n49846 50593\n453 36212\n51198 76065\n4143 13005\n51139 73227\n37533 81373\n51861 94182\n77039 92057\n28126 54979\n31610 60214\n66368 71819\n17511 66013\n17703 55317\n37370 60079\n37883 49924\n16780 92736\n48699 55433\n14691 65042\n67655 97957\n3715 8198\n48576 73683\n44968 58354\n49193 69948\n55555 85377\n41863 78478\n46389 95735\n9044 85670\n57054 72631\n41434 53138\n13962 15557\n25200 43159\n23784 43315\n49276 57097\n69782 90015\n50389 85356\n3317 13052\n29830 94779\n37853 69467\n89818 93651\n41987 52830\n14898 93659\n49662 88937\n9539 97474\n28051 78350\n30331 41676\n58941 76932\n5130 50165\n61768 99501\n18101 22378\n61864 87729\n26313 91874\n60489 67565\n31965 81847\n72019 78952\n20682 42641\n435 89978\n47300 52045\n27072 35321\n26036 64009\n67764 78824\n41363 51081\n44949 69681\n46238 52986\n53395 61425\n5596 28025\n65106 67655\n7734 74169\n68518 81684\n4899 98550\n19884 64471\n17268 45342\n10600 98960\n33910 92238\n15603 19408\n2859 37359\n38341 75704\n48200 71662\n30331 44295\n4186 56109\n51025 93317\n29054 41647\n6059 80069\n34471 91737\n24203 76669\n76450 84787\n47851 84746\n61946 80593\n17080 91375\n20106 94533\n20584 95649\n48892 94138\n26043 42649\n4828 18540\n19989 22842\n57858 81997\n54567 67892\n67373 91594\n50854 84186\n15777 87643\n63550 96881\n4508 95467\n4168 11392\n15881 95957\n79460 83498\n19020 63087\n53192 62344\n81549 93704\n29800 48981\n37941 91343\n46835 86427\n15905 50265\n7189 19500\n59258 87424\n2047 74119\n36867 93266\n9116 35173\n45143 54835\n89600 90523\n76201 91784\n19475 43397\n7197 28229\n26629 29956\n40051 79958\n48038 87899\n47180 89991\n4344 67944\n78458 83302\n19547 45799\n17361 30795\n20239 47084\n14434 51224\n45516 71610\n41224 62965\n92323 97799\n22722 71505\n5605 93775\n54910 91987\n30197 66388\n21871 48665\n35783 51496\n23936 71059\n3230 62123\n7764 95576\n66422 88517\n71950 98515\n85279 96716\n74758 86732\n23985 37394\n29059 60441\n22153 90636\n52895 62843\n3760 76527\n72151 93427\n33672 99980\n30098 77546\n59286 89732\n8756 95136\n1209 69086\n10458 15312\n5966 92688\n17145 82713\n30510 59815\n47564 53310\n51577 82777\n45637 79735\n56636 96471\n43596 96592\n42483 52542\n29121 41963\n23012 71991\n4936 64341\n34958 39253\n16848 79322\n38351 85544\n26840 61905\n44765 84116\n29282 39378\n49491 85895\n52638 93580\n4874 35483\n46032 62912\n51423 80826\n70493 75287\n68406 80629\n59629 71874\n18932 92317\n13810 60289\n7653 60850\n55065 84293\n22940 98526\n36919 79613\n75973 85765\n70699 98348\n1756 98647\n10481 53821\n1077 1414\n72157 78440\n20094 93311\n53497 59332\n34084 67997\n61617 94727\n19651 75741\n53960 55282\n22553 81993\n13567 88104\n38198 68912\n17532 23863\n30119 58048\n4500 71661\n66167 68630\n12363 66759\n37260 61847\n24635 77723\n31695 50068\n29265 78281\n31198 90731\n65356 82196\n1295 64549\n64244 86720\n42260 44565\n3999 34390\n42553 58600\n57503 72964\n4862 55350\n36360 67383\n10784 45174\n52737 93553\n25635 52552\n56352 79078\n15955 95684\n92271 97151\n2401 3301\n65984 87863\n72373 72491\n10497 85642\n27494 52734\n32886 65331\n25199 31549\n43110 75131\n20251 83981\n94693 95245\n29109 98007\n59985 81621\n5136 45536\n49330 99079\n93943 96046\n47041 54120\n50668 81058\n20825 54344\n55387 94018\n28471 34168\n39943 87030\n66038 73257\n9708 42063\n67120 79917\n5469 53293\n94282 95398\n42704 43886\n75239 88654\n29804 97672\n75838 77750\n71148 96281\n61315 67924\n14480 80469\n31719 39311\n44906 94964\n450 18403\n58363 66378\n51453 56648\n4559 88829\n57377 76890\n393 5950\n43572 86657\n43157 49777\n31073 56525\n35943 93277\n4430 99403\n55483 57939\n47929 71823\n38942 51653\n15809 53782\n30539 56157\n50162 68237\n85184 96351\n64171 74480\n13059 50698\n25068 36654\n20120 41486\n37359 73351\n39802 70619\n66719 67865\n22536 60496\n2594 32664\n62107 98358\n45206 71461\n7524 93600\n40905 50834\n2944 94701\n72338 94834\n21608 97219\n536 73075\n5413 13860\n37933 71973\n684 43519\n29838 37394\n33285 94249\n38037 75765\n16030 62945\n37138 45098\n43081 53258\n10815 31099\n79679 98271\n60653 72934\n56724 81593\n20121 72529\n37520 95537\n22094 44644\n26459 36167\n45519 84837\n46596 59908\n17889 36119\n20819 71110\n5430 74434\n6963 21944\n52725 94292\n41726 44928\n32375 81057\n22488 35914\n55917 95700\n966 50371\n6701 72785\n45743 95328\n4527 28478\n34980 94163\n10595 68388\n611 38300\n33936 57899\n58671 96117\n48838 65968\n3319 74493\n13351 42857\n17723 61506\n36750 58631\n34378 92805\n7299 86207\n48702 59563\n62960 91585\n32382 52312\n80456 97961\n31541 86582\n85639 88799\n4751 58859\n21166 26152\n73746 76441\n29289 43668\n24038 25427\n10768 14681\n2110 62805\n42343 72705\n34445 46640\n73042 76080\n5307 53078\n15855 90339\n39752 55907\n34027 62268\n16578 20888\n77803 86174\n18008 24011\n66753 96362\n46835 84759\n19390 53606\n40481 89395\n7167 16693\n37416 62526\n35854 85102\n54675 94241\n1063 6861\n55793 90712\n32041 48652\n30992 63120\n3341 56517\n20403 72600\n82404 90873\n17116 76442\n44211 61588\n15971 90109\n305 2352\n33190 68240\n60533 88366\n23034 82672\n91296 97742\n41010 54936\n3577 54397\n67422 76580\n11185 86397\n44164 96080\n7060 91411\n30490 82424\n11571 49707\n66580 91056\n19648 70985\n13916 95049\n63988 87271\n8361 58132\n40490 94633\n40037 40963\n19358 20570\n30993 88183\n25857 61666\n43096 73350\n27028 86182\n37994 52059\n17109 78628\n19123 72265\n56532 93971\n41535 62846\n12103 15319\n38072 44604\n45296 62683\n57350 78733\n22095 64593\n4075 90724\n72071 82218\n65085 83715\n48748 74916\n56653 71937\n25595 62022\n55410 65400\n49831 58066\n13990 65124\n434 16017\n20237 69191\n76575 80685\n5837 77148\n56175 60000\n23070 64465\n4679 6847\n34631 90153\n12734 63306\n222 64377\n42989 62068\n13863 45734\n25537 62534\n658 97426\n70216 75925\n38140 40467\n38978 81203\n90084 96839\n5043 19496\n3548 35367\n27058 94374\n52974 70902\n31628 85539\n77707 94891\n2098 20505\n35648 53161\n25676 89279\n26280 26389\n11180 21386\n9196 12894\n40663 71770\n3311 94123\n8467 66436\n55818 84092\n38243 59153\n73111 81189\n67796 89328\n42435 74680\n23142 70374\n726 12545\n33097 70571\n1773 86625\n51163 94700\n66851 70775\n21761 52639\n41255 96545\n90352 92695\n43291 73107\n39466 45949\n1426 57657\n20508 49648\n39698 61950\n6827 31351\n82168 98581\n7632 40105\n67353 81789\n60976 68857\n61215 69131\n49435 86437\n16038 79674\n75258 83729\n27531 55131\n44447 47004\n2936 56791\n48777 61837\n50200 84113\n30754 92071\n54993 56985\n21718 47437\n30599 94367\n28616 71324\n40964 87222\n41103 52761\n56945 86145\n20344 26661\n70993 78906\n25161 70223\n25717 46072\n32844 56800\n16832 95309\n67071 80155\n8272 57986\n61916 67119\n17165 90051\n50992 71181\n2265 60949\n8391 36955\n23248 98875\n910 80959\n32608 97916\n21399 58770\n33739 98352\n10892 96285\n53938 89071\n5934 96262\n9472 41186\n71680 84262\n25175 76193\n4558 48563\n5107 51295\n6804 30063\n30418 50805\n3766 48202\n12633 58372\n65262 75739\n75279 75910\n27801 66382\n2073 53261\n45600 71179\n74979 86855\n71710 75448\n26811 29367\n35498 69525\n75476 79224\n12340 81520\n7763 89177\n57269 58243\n23036 61108\n10522 67466\n14023 23550\n15320 35415\n20765 28733\n17661 92636\n59821 67959\n77834 84006\n11827 83643\n51527 68939\n56422 95707\n19672 32072\n65095 74635\n12959 97204\n7648 82383\n49085 99465\n21731 88973\n44236 95333\n67002 87833\n43232 57071\n62695 95375\n9008 42893\n6358 47802\n27540 42858\n28109 75842\n57516 80757\n30970 84284\n15653 45743\n26490 85177\n13103 52652\n16690 70608\n22279 53577\n2853 73834\n6579 38698\n50372 94793\n57987 98199\n36420 92170\n3721 88822\n27000 47975\n50643 76377\n65526 86383\n9925 99041\n17910 61198\n65898 91957\n47327 59842\n65950 74253\n30115 31611\n18321 94861\n5980 72156\n19265 34097\n46755 79540\n24644 53433\n4059 73870\n15022 70309\n37594 37908\n39135 97554\n73785 95606\n22947 44574\n32449 47387\n14995 60998\n39572 84242\n37855 83772\n32258 74951\n13634 42906\n43387 71507\n6501 9922\n82065 88034\n66930 90127\n41912 45974\n22777 73143\n22501 56348\n79606 88814\n47090 94992\n10773 71898\n15378 61242\n11061 77465\n78242 86056\n8643 76308\n20742 72877\n58330 59759\n11490 45062\n72886 93563\n57874 95026\n43615 54939\n19286 33262\n71535 76999\n12101 54707\n26357 74084\n54790 83648\n8008 51202\n2346 58102\n41986 88124\n1158 26078\n10387 34345\n25385 73693\n9028 69310\n40924 52772\n54551 84639\n30873 36051\n91192 92972\n48532 63936\n58940 92472\n67908 71193\n27592 62170\n18040 59217\n11474 54658\n64199 89684\n37477 94763\n71153 76549\n88088 94280\n6594 44501\n54996 84215\n61736 68240\n48400 79729\n36235 43423\n6932 27846\n21067 90295\n39260 85770\n22135 68011\n25702 45279\n70130 78020\n49315 62057\n21335 75141\n29342 96758\n4596 27050\n67422 71527\n27034 76708\n14442 23316\n16745 68198\n8207 62785\n40529 82662\n71891 96463\n25533 76943\n5715 96266\n37807 82080\n26775 29941\n25863 77727\n51998 99497\n30655 38486\n1213 67031\n1524 7790\n45087 84135\n14035 22244\n60583 76849\n4647 48951\n4679 33110\n43616 77936\n48708 71521\n10652 63848\n33804 45008\n5697 13018\n2185 96126\n29259 64439\n61746 97703\n544 90279\n52941 89029\n79208 88096\n28134 40924\n7205 85700\n35510 83553\n15303 69387\n43747 63356\n46397 70135\n9101 15728\n4329 98715\n46661 65398\n33488 56979\n3212 10608\n1017 47189\n2170 55607\n37478 89215\n20199 76350\n33307 66854\n31101 49442\n14118 54949\n10877 47820\n16326 75287\n86797 95809\n6981 61948\n74589 91444\n38856 87626\n6978 80917\n16501 86230\n22350 70417\n12987 91195\n20293 63860\n56060 62902\n7815 65591\n29816 97460\n82645 91438\n21447 55163\n21969 32577\n50707 60449\n34789 74583\n11391 32566\n36788 91456\n29289 46990\n13963 52041\n45645 62370\n10734 89534\n51966 78121\n27963 44263\n9320 69668\n18751 68605\n23212 65164\n52071 96109\n48825 62655\n30809 33356\n24210 29583\n24933 37440\n6109 92147\n15720 21822\n1787 82597\n6012 91469\n34058 74366\n15916 59264\n14197 36078\n47612 74157\n847 70058\n33118 44061\n32516 38720\n92641 94228\n55672 64361\n38895 79823\n15363 33940\n12012 40032\n26788 45900\n24390 52440\n40535 57795\n47547 55219\n41328 83827\n66407 74698\n46883 63157\n54223 55314\n60261 79867\n9042 42475\n7238 47217\n58536 84009\n28137 64632\n49252 72433\n26030 34001\n15949 90732\n36565 42531\n72137 82760\n23015 48344\n18385 93590\n8798 38209\n32346 85059\n97391 97540\n2291 35113\n6996 71907\n57321 68945\n57253 70237\n60233 68807\n14532 51218\n10192 93411\n33904 42955\n12040 86412\n8231 54163\n54525 99673\n279 22469\n56315 99265\n41103 48579\n14190 66521\n56054 82724\n77901 89092\n73745 74993\n43472 66152\n5767 44501\n36548 68399\n39925 81178\n33590 77705\n70404 89150\n10453 46079\n45442 93941\n32872 49596\n31333 40877\n45432 57067\n5773 14542\n48464 99356\n57362 72195\n50725 65734\n27614 94273\n15506 51918\n22564 25108\n23042 38522\n95416 98562\n92987 94702\n37421 65503\n19494 30676\n18173 92418\n68991 70872\n14459 53641\n22201 27278\n12099 37622\n20756 48536\n24284 32500\n4511 90677\n1087 79793\n46146 73677\n9978 14285\n60322 75633\n23894 34007\n87619 97849\n67852 98110\n266 62480\n5685 80552\n12017 85936\n44003 45951\n4517 93398\n24932 25677\n3034 79988\n62996 68047\n18099 45817\n79780 86110\n57149 65644\n28299 41802\n5826 28276\n46947 56416\n3175 54531\n45368 69976\n23063 39308\n24304 77909\n10191 62880\n69682 82021\n2955 90232\n14655 53137\n23796 49435\n72145 78363\n44517 56208\n48027 87596\n69415 95509\n10677 58532\n58333 65737\n48049 96231\n42391 79741\n42714 45616\n61496 66046\n26194 46339\n44591 57474\n43343 73063\n1040 33279\n47125 72827\n51017 73257\n32501 95063\n36345 59113\n6636 32530\n43755 85185\n9355 20571\n35601 79552\n44681 44922\n31020 38743\n24505 24662\n77269 84219\n48875 51603\n40476 68272\n46658 47584\n3253 46985\n89014 90183\n75095 80159\n11015 75198\n53219 75332\n24447 40535\n51858 86134\n25193 42808\n59701 79655\n93512 97114\n37385 67447\n13730 44670\n16954 60379\n14487 65766\n66447 75393\n46953 60807\n46763 91285\n36504 48222\n15987 26784\n6533 82080\n55639 56686\n19897 38719\n48499 79625\n47018 49951\n19983 95002\n25599 77569\n38638 57532\n31482 70524\n84329 97693\n46772 59278\n21566 23913\n77881 96103\n43825 98921\n77655 89972\n79413 91074\n42014 88259\n2726 60190\n4024 39382\n75707 78143\n23297 72879\n63604 83376\n43033 58372\n82585 95130\n77577 85041\n32534 64296\n82531 86254\n40272 75310\n5689 46124\n2932 57973\n61951 79916\n29603 37689\n32470 37291\n17976 73242\n51495 94003\n83733 85221\n69519 79774\n10646 46441\n13838 61798\n45877 55398\n915 66663\n51450 77132\n47086 49709\n13417 68261\n40197 61537\n15421 52214\n40333 93626\n11435 21210\n9604 80688\n58864 62659\n16390 26132\n6608 52860\n27946 61885\n11857 65759\n57310 80656\n13937 61601\n33530 77800\n61582 64771\n1859 34695\n77086 86980\n31089 94213\n12945 77426\n31810 43999\n682 75778\n49646 92950\n27808 64463\n40083 91195\n86319 99091\n43234 56629\n65282 87293\n15734 39964\n6508 99577\n73173 86731\n67337 99260\n9847 22710\n2198 65983\n9880 24686\n59063 64017\n73631 75280\n31341 35491\n25417 73873\n31358 49756\n7309 60926\n18196 67362\n8776 60910\n44377 83629\n13358 97753\n29158 36139\n793 93010\n55577 70457\n58557 93399\n7592 74639\n45957 77497\n17017 78792\n77213 95833\n2565 37596\n64234 87663\n934 96530\n8467 35834\n19128 63967\n72546 80668\n65264 91956\n57197 76644\n35925 62428\n73755 73884\n15914 28156\n18181 29442\n10992 63256\n20125 43417\n5775 8774\n48793 83282\n63490 83321\n18452 62426\n26782 45392\n11004 37043\n1181 83800\n27561 51556\n29198 65407\n26176 49958\n34915 92993\n2987 48951\n16199 52415\n20669 53092\n39884 75085\n70065 93191\n52252 73946\n20042 60046\n44233 86053\n16610 67400\n66601 84540\n13430 73166\n18042 30206\n5814 11225\n3147 43177\n71677 76164\n7951 27572\n2224 7864\n7455 17662\n32678 92505\n48172 86441\n1680 74349\n13602 16889\n55895 92359\n79425 84385\n20590 80709\n5175 50256\n20328 25613\n663 42234\n7966 65127\n15896 98737\n25559 88147\n35803 81134\n25510 76373\n58586 81164\n10347 39193\n68690 81840\n1236 72106\n7581 97812\n1842 3727\n22440 75833\n10558 17260\n21756 58573\n19918 58216\n58923 91271\n8993 89482\n65104 68108\n43243 66416\n62653 72805\n14299 74002\n40931 87234\n26462 51673\n28575 41901\n696 79987\n81957 94814\n24247 45873\n34247 79519\n10723 28019\n24974 30175\n59748 82430\n20868 56105\n52202 72261\n503 82717\n77080 94793\n58064 91436\n9104 80844\n74631 82166\n54001 68002\n17018 55756\n51796 77557\n43558 77022\n6619 80600\n72597 77298\n10519 48046\n34996 65225\n61684 81194\n17944 51948\n19379 70779\n61073 98426\n4017 5486\n45196 66005\n32729 50328\n15381 21408\n221 49974\n12217 71512\n72447 83730\n98 31072\n1723 34750\n33593 48721\n50076 89522\n17972 39448\n63338 63710\n61154 68207\n18669 76672\n18269 19751\n35600 90387\n5438 28896\n34539 48953\n25602 82016\n47971 76190\n95006 99598\n31857 76277\n45632 80715\n40498 86489\n41657 64879\n32811 75369\n23006 96279\n30126 67279\n2241 85511\n13625 90368\n15091 55405\n4295 8981\n60856 69373\n68736 78971\n21739 31794\n18442 46785\n2686 15522\n41373 98539\n6947 14791\n7246 18703\n3289 88745\n12396 58644\n77247 79975\n51290 93303\n12066 43105\n50850 56096\n25818 86136\n15582 68311\n27502 99289\n15050 56562\n68204 89324\n41968 42130\n66580 99236\n5714 93195\n34677 51452\n44436 46935\n43907 63506\n43398 56467\n52922 96276\n60752 68038\n62958 93181\n36720 84845\n19889 31779\n40476 43544\n15510 88223\n9002 40270\n50876 87452\n6135 29306\n5101 64306\n2613 48917\n12523 81496\n33197 42668\n68780 80276\n53695 87853\n44209 49751\n33210 73185\n288 27503\n84882 89660\n26173 87534\n32750 72584\n37049 85511\n64387 85448\n32551 98297\n50146 80012\n39725 97267\n50615 94680\n2886 70253\n7914 45681\n5918 68315\n12354 55931\n38848 83982\n29048 54262\n11014 43874\n30300 62576\n62886 78365\n31931 99686\n16212 64763\n22441 61657\n56225 80794\n65297 69469\n58327 73812\n23919 63403\n38873 42284\n16248 45675\n88466 93852\n53513 74084\n27658 40066\n32808 68427\n33597 89272\n1954 9534\n19554 27460\n12036 35581\n80221 97164\n21601 52290\n75041 81171\n23356 23721\n39918 66208\n57124 76472\n922 29435\n9668 60320\n19811 31557\n8602 75574\n77940 84873\n36032 91908\n31804 77818\n39232 53898\n36961 80306\n48101 92837\n3662 17228\n2925 94080\n15076 22478\n20734 92080\n73273 94723\n48720 64157\n37156 47635\n31858 33747\n33366 68402\n24893 80273\n65153 95640\n62112 66829\n5447 38826\n6200 41429\n48779 78320\n5837 17029\n10386 23394\n12221 40397\n38545 69671\n27287 59166\n29079 33827\n30249 37042\n76107 86614\n24234 75243\n19157 49622\n11240 68751\n35849 52706\n4715 86932\n23524 53625\n46713 95306\n9708 72007\n60073 70367\n15295 86216\n8413 92310\n7106 52442\n59915 90988\n56683 56838\n36503 38381\n12665 49327\n26221 95360\n33116 95322\n6069 94950\n66267 68849\n10913 55683\n12216 80433\n14583 46507\n49617 91233\n70460 86318\n30526 66899\n129 39434\n1386 11440\n28357 41805\n97538 97889\n92050 92089\n49378 68366\n65080 86430\n47371 82034\n64479 69728\n30294 39626\n62040 72081\n30208 39089\n41806 66013\n2423 8368\n29090 37345\n45768 80871\n6126 44559\n80136 91077\n27675 29373\n36769 77296\n57966 88627\n22225 29353\n40548 52672\n33887 77900\n14350 38144\n19714 71407\n18451 61324\n33577 70232\n24882 37839\n38689 98104\n11577 12400\n44164 70811\n12655 67284\n4343 37333\n78581 99860\n28432 70649\n40290 46120\n35294 73266\n63346 88263\n41195 71963\n40339 51487\n62714 80899\n7573 60513\n17753 36099\n18952 43170\n10996 65523\n41718 76406\n39596 78737\n22263 86787\n40382 62223\n10558 69365\n53664 97652\n7659 50781\n25750 54748\n2167 88157\n4216 94454\n71611 91202\n63013 77939\n24349 66514\n68941 70670\n26897 68998\n44471 56487\n31815 89679\n6514 93396\n37179 97907\n46776 72557\n696 44382\n26878 34235\n13330 31387\n62333 87079\n43161 86866\n55774 76740\n49387 65991\n11917 51392\n11444 85445\n292 41264\n35402 69512\n29804 57203\n12887 87925\n8246 32356\n86636 98157\n78841 93900\n11894 76553\n29565 68425\n36622 50188\n4506 33203\n35398 64805\n16051 52724\n80993 97946\n5437 20679\n18844 67617\n50984 57167\n23160 56312\n55488 65880\n18518 32307\n62946 99141\n2600 78414\n69375 81054\n25234 78067\n23022 75147\n35730 60449\n77961 88216\n10954 11003\n35801 83888\n12981 57909\n2821 98858\n12761 61440\n5516 96022\n6984 37812\n59216 85774\n3934 89635\n9539 80624\n58686 97779\n47108 69411\n19072 45954\n70528 85845\n29533 29752\n62867 63335\n44825 94451\n90982 98585\n7872 33057\n41377 76775\n28783 57190\n5306 65790\n21783 39508\n57645 91492\n52570 78887\n7961 97754\n7548 17492\n23125 99318\n99040 99231\n37097 71462\n51563 70918\n342 13531\n4972 64971\n3684 62448\n27361 71422\n51386 59575\n37693 68675\n49358 75705\n3362 35985\n36326 39722\n22130 41905\n42601 91503\n12127 55689\n2285 82584\n72129 91090\n63058 91148\n54857 66970\n4934 42252\n23481 78762\n32418 75991\n73779 98798\n15667 25213\n46562 76185\n15981 42322\n76953 88071\n21451 22174\n29357 57281\n27896 51746\n44968 95673\n52965 55240\n5003 96751\n49800 62718\n69280 77394\n2319 97195\n78098 91453\n77829 81350\n25994 48126\n81658 97773\n24585 26375\n29488 53187\n49707 75223\n80760 84477\n53138 72165\n47314 59970\n10812 49180\n58284 60330\n85713 92536\n82095 94406\n69833 97209\n72899 98161\n36517 44235\n42805 60103\n35824 87739\n25117 65155\n56304 71517\n55208 93421\n2931 8523\n55234 63705\n29659 56076\n28133 49498\n71390 95896\n3324 97821\n51654 53689\n56786 86947\n47085 58877\n3297 96605\n51819 53738\n888 3681\n5844 31541\n39788 40164\n44193 89284\n75664 79596\n13273 82653\n85192 92622\n63816 86279\n46766 72765\n45119 84229\n44013 99119\n1510 92007\n69780 72595\n13859 37266\n16728 31339\n11771 96825\n24500 35910\n61373 88026\n34938 37618\n23823 40942\n48714 84071\n46601 74811\n8174 38266\n11670 48671\n32345 37250\n40366 44234\n29702 37754\n1352 97435\n14405 64440\n44804 61132\n19137 66696\n4701 13806\n19923 97309\n10005 26655\n64228 90105\n61741 80434\n13850 95529\n20341 28896\n34209 38631\n16938 43732\n83171 94522\n62501 97243\n48032 72521\n46722 67371\n754 35272\n53225 89268\n51402 73108\n43643 73916\n3188 5573\n66357 92339\n35436 69651\n27139 86225\n18491 41675\n42657 50145\n33673 35664\n31077 67106\n29636 65392\n21598 61827\n1989 45254\n17049 63335\n31210 89213\n4325 10331\n38383 90941\n995 68026\n15119 37829\n78300 97802\n77889 96475\n14221 26912\n8650 88291\n38251 66573\n965 63496\n10760 41981\n18565 49310\n40406 93493\n12464 47918\n23647 94744\n21659 36297\n10225 93751\n26839 45266\n37248 99168\n11969 41545\n74417 89259\n32901 84801\n8191 81660\n37472 82003\n75793 84585\n27280 65932\n8149 13337\n47048 61932\n4582 38922\n25884 92852\n45260 89226\n41339 60930\n53621 56949\n64476 72690\n6730 16443\n29961 36758\n15447 17315\n24589 27623\n45585 56107\n5662 21430\n35862 96214\n39966 85210\n2216 50968\n869 59745\n44775 49874\n59678 61734\n23282 94313\n56907 91846\n26258 98527\n24089 31986\n73088 91260\n18267 88049\n14900 56781\n14692 77474\n58368 91769\n31302 76841\n34391 86061\n5763 78666\n23362 45814\n67127 97002\n50673 89035\n16991 42883\n55518 57813\n16419 61054\n24791 92665\n57096 88007\n1413 15356\n4962 27777\n31079 39743\n6094 41763\n32927 55918\n48403 92307\n2375 78649\n30409 43566\n38973 47760\n28730 79676\n35409 41218\n17227 49035\n6865 23068\n38156 74981\n3676 67307\n38041 92465\n70544 74241\n68132 95673\n63741 96286\n8653 74502\n43705 69458\n27390 51633\n3715 10807\n13148 53616\n705 48124\n46460 94564\n19848 23222\n30787 32891\n34066 60774\n5286 57738\n17115 37142\n76310 97804\n53044 57059\n12395 97262\n31086 85416\n18615 72872\n17717 62606\n6832 69763\n21369 29087\n57991 87409\n27833 80118\n81802 87065\n48861 88944\n519 63423\n50149 91700\n74770 87918\n4336 22727\n14739 79148\n12276 49343\n51411 58092\n10264 62792\n976 63797\n60639 72309\n39401 97481\n605 74596\n36618 40775\n20525 59468\n11049 96626\n62658 82842\n65988 85685\n20274 82953\n942 62891\n74488 83125\n68257 93635\n3919 46868\n13223 13280\n36624 39479\n51059 68736\n44160 50625\n39823 61472\n59065 94570\n34444 35663\n69050 91314\n567 86625\n21174 69665\n26853 99435\n22999 30625\n84400 90280\n32955 98925\n27399 97108\n32351 62884\n19816 36935\n49411 84600\n2384 29501\n74208 78372\n54279 61741\n54159 64805\n20410 90927\n237 12139\n4928 54748\n2009 62069\n53658 99245\n27883 90357\n40295 99644\n76126 76550\n27637 58956\n3770 12000\n24392 30935\n17020 38110\n15062 28283\n55535 95864\n83438 97642\n47887 51024\n35368 51491\n12614 76278\n33592 49501\n12975 33589\n52554 67720\n2753 31507\n78079 78682\n36958 83336\n2137 43291\n52535 79035\n85429 88374\n23461 27932\n52488 62493\n12038 16374\n15633 57128\n51460 88706\n61239 84384\n62022 87869\n2444 43887\n37406 84980\n42278 75282\n6040 39184\n13108 71867\n6877 36088\n16928 38109\n23728 24471\n78004 86492\n30421 41846\n46569 72227\n37022 64651\n26801 66924\n1933 66042\n19362 37269\n63164 85803\n621 2846\n49085 50587\n8176 41005\n5960 92717\n11748 90655\n37305 80095\n55829 82724\n33716 38891\n6039 69393\n15420 28564\n22350 80215\n12869 64859\n46016 47287\n48204 70523\n50431 71200\n15204 63767\n36672 91419\n30623 78506\n97421 98523\n67913 97026\n49886 94567\n8411 41244\n2912 46172\n18272 56967\n12396 59052\n32254 76140\n35218 60078\n89435 94375\n20015 44150\n11578 66153\n58882 70163\n27151 76521\n62905 75469\n31392 80348\n79584 83828\n21594 28288\n20456 71984\n24789 25088\n19713 72155\n11087 67550\n65501 89728\n12478 84305\n9275 16170\n24625 67551\n46671 76059\n61348 70453\n17665 85888\n61775 63097\n22052 68089\n66271 91062\n49495 87054\n10794 68682\n53387 93813\n48469 85032\n14319 85279\n2702 31126\n35934 69037\n19914 71268\n35096 63901\n1691 48289\n68398 99177\n29042 85357\n64881 73114\n17735 70690\n39 22587\n15009 56227\n21610 40755\n7631 62125\n15642 68818\n34227 91741\n22785 80963\n55637 98408\n82732 95474\n11939 67203\n12002 14177\n22602 27099\n7821 40621\n85495 95937\n10978 79508\n4661 90957\n37111 61910\n54297 88851\n47078 74134\n15681 46886\n71823 77356\n40161 89613\n25064 98755\n17440 18348\n334 43813\n60705 65303\n18931 72855\n29469 35312\n10601 25172\n39463 64894\n63054 87022\n82750 84781\n58959 98675\n65447 84171\n93063 94538\n86601 94102\n32837 65352\n27869 64623\n39068 98500\n19837 37375\n39139 77006\n20836 99432\n14605 29931\n44536 97638\n47422 82927\n3305 91827\n27837 73247\n37024 58605\n18578 18741\n45473 90618\n13145 95415\n27195 81044\n13850 36669\n39412 67844\n26311 57336\n38809 42734\n6222 64264\n52451 59472\n9407 40933\n1970 18965\n17089 76189\n94775 95521\n23964 71767\n43568 58677\n35021 92143\n14262 48931\n16015 37869\n11738 17998\n2509 54889\n23826 67492\n14865 39221\n22586 61534\n53800 83576\n26110 29019\n13254 50392\n3853 42227\n36649 68280\n41347 68911\n53059 98902\n37973 87849\n58459 63548\n45603 55370\n16795 67579\n24524 41122\n9617 81796\n60973 74950\n44975 73889\n35327 51806\n18187 65014\n59519 82101\n993 10912\n37804 59706\n713 99409\n69556 85096\n66858 76564\n52392 90695\n166 55415\n16127 32337\n36792 37570\n12899 93658\n33424 45903\n17156 83956\n15131 21608\n15756 50815\n30455 56040\n7002 15583\n23557 92732\n68259 87122\n56050 86701\n9246 90240\n57984 67241\n915 20970\n90017 94293\n6135 23275\n9444 78977\n24636 74866\n11558 20546\n40036 74362\n725 10000\n15811 51025\n1239 56244\n39903 54392\n64163 94496\n24201 31961\n9233 21978\n52017 91859\n43845 94844\n25812 42176\n23410 94735\n3759 30183\n34621 54521\n53940 63460\n12603 42964\n1781 27723\n74102 95780\n44725 97970\n10729 99116\n12335 22249\n29236 45103\n1544 81715\n7961 52239\n10639 63283\n9554 67597\n41554 82638\n12349 25664\n51599 69124\n46753 83872\n56429 61470\n6970 65682\n19057 56037\n69788 92378\n35635 48111\n34263 39966\n57102 65229\n31473 48813\n44020 72903\n44 28019\n93194 96383\n68947 72910\n55409 69860\n86945 96242\n79809 95614\n8477 64317\n19002 30052\n9910 63880\n24095 66002\n10376 25784\n11000 41869\n36038 70257\n16133 98818\n11362 69255\n24080 64882\n24084 53872\n7774 73174\n31597 37866\n34528 86970\n22830 86933\n25726 89462\n36411 81519\n28575 87374\n12495 76309\n156 98985\n55247 76952\n7609 59749\n39576 50401\n7860 69785\n4584 45018\n7062 30671\n78477 99397\n9086 77734\n32407 59195\n291 13881\n5535 14391\n25071 80394\n27030 36441\n32455 47189\n20032 61349\n47810 99687\n29806 91901\n90959 95751\n17360 41712\n3245 17141\n24805 50685\n17639 89884\n29967 71117\n27436 90347\n41944 42972\n6279 33856\n84003 99224\n11122 83085\n60455 74751\n35167 78715\n59494 89880\n43792 92451\n25295 62308\n76419 84140\n75439 98229\n46197 64211\n360 53987\n28843 64428\n40510 66155\n25907 55526\n33279 92552\n85285 91255\n13170 85285\n56487 78335\n69996 86983\n37990 57493\n50319 66533\n40464 88909\n51249 70316\n60220 62083\n12785 80137\n35266 46383\n35338 51870\n5067 26918\n16119 21772\n23547 38560\n44574 67554\n43422 82365\n9570 12440\n9752 86606\n2013 17696\n41523 97075\n23097 31527\n59568 91739\n24474 76994\n44576 69707\n22126 83939\n53418 69643\n16767 97070\n73626 80448\n35367 98091\n60472 72135\n55984 81116\n11648 59396\n30938 68385\n3205 61231\n75754 79833\n51879 84940\n37889 70714\n60565 65195\n45879 98641\n27992 56480\n24087 93262\n33596 67558\n65756 81754\n3700 72639\n49885 59533\n62119 91093\n71884 82012\n3718 81901\n19903 85849\n312 5867\n40686 94943\n28284 92497\n2545 60910\n33619 65769\n30593 95923\n43801 82687\n56407 62385\n13736 70383\n38198 53263\n16194 31713\n10011 28028\n24666 69224\n44843 93753\n38674 55212\n12991 60192\n31985 89595\n11830 32489\n17092 30941\n37400 87378\n39191 56419\n46589 69326\n34527 88474\n46031 49225\n19863 89121\n33654 52577\n46386 73734\n9173 51219\n20605 72727\n43 81269\n45081 46190\n40234 63431\n3965 23471\n19179 40493\n58650 98536\n31934 84416\n12427 57333\n59429 61664\n47480 61598\n56449 63075\n21853 53553\n65985 71294\n44940 63515\n9532 98250\n10334 30832\n47440 69181\n9534 16274\n21135 56658\n52160 77876\n142 7231\n19155 68598\n15788 39314\n16460 67084\n69563 92358\n865 88436\n16848 62903\n4391 92482\n28542 52195\n30388 71017\n14334 39162\n3495 12371\n59743 75198\n25917 33191\n49330 92315\n16437 21844\n9719 85400\n4287 46678\n13621 50527\n47998 92471\n13687 55074\n85001 90356\n28479 77025\n35243 84316\n33727 91180\n7050 81409\n51015 57697\n702 23041\n65887 73229\n26251 94918\n72724 92293\n55963 60547\n58885 71616\n20340 78877\n20609 64978\n6691 63373\n16604 30473\n48219 51567\n24453 27967\n9705 28027\n31857 89513\n10203 40307\n25429 26552\n32751 39962\n15152 44342\n51285 88198\n27094 85113\n70867 79292\n58523 64732\n48914 96354\n23829 46027\n34353 56432\n26433 31611\n62385 77626\n25046 91479\n19831 23981\n23618 32582\n31882 81898\n9641 23649\n29471 91504\n50691 59959\n51281 80375\n84453 99725\n13311 86074\n10481 83500\n35070 72248\n14392 17987\n23224 30348\n27569 34756\n20695 41574\n49415 75723\n40920 59383\n5786 47736\n33663 73457\n59934 69787\n72583 96983\n34971 49582\n32288 58609\n16619 21554\n31028 71454\n21830 37607\n2730 29246\n35096 45431\n13973 45119\n26990 68721\n49587 65398\n71351 94877\n21251 90601\n23209 78474\n87081 95029\n6685 95020\n32163 98090\n52914 82828\n27662 52484\n20822 90912\n40222 42382\n22639 53628\n33751 92358\n11736 51911\n29937 65296\n41375 52577\n26835 27876\n6507 23632\n17997 96217\n17976 21682\n2583 17625\n23011 42038\n65143 90150\n49332 88652\n47849 71703\n52541 55581\n56269 92628\n16333 75292\n42533 58010\n42651 79175\n49053 58453\n4122 50204\n15418 45689\n45808 74620\n118 87864\n39528 40797\n20115 28866\n12229 99229\n28165 49498\n68055 86726\n14704 44310\n79226 93167\n11752 89587\n20907 90046\n26719 36848\n71175 71260\n9654 16647\n35689 39236\n52040 91014\n48184 85392\n7856 83681\n10445 60180\n27585 60707\n94813 95934\n9388 70597\n52206 71280\n93355 98310\n1915 95601\n64679 79501\n29367 92303\n29365 53598\n51126 56480\n69681 77476\n47531 47909\n11015 82691\n47024 56184\n55785 66450\n40679 55776\n62621 77720\n52208 75295\n1283 80451\n13654 29159\n8038 68567\n57893 66603\n33517 89736\n9258 90389\n15762 63973\n29261 77015\n43552 86383\n3084 42753\n31619 88486\n21764 48002\n51654 53205\n52996 91331\n25767 99830\n23782 68991\n14983 94129\n22499 23601\n72018 89339\n28618 67871\n79521 83644\n13561 62709\n808 37232\n28785 69156\n40468 59606\n12508 26167\n20997 94232\n7550 27563\n39051 99696\n22135 90065\n17685 18911\n14073 86949\n18038 28024\n25758 43514\n41464 78307\n5331 57055\n71984 98513\n26429 58253\n2098 41208\n26239 32281\n53764 62967\n34618 67318\n58377 93529\n19719 63148\n57879 92768\n26845 99463\n47454 98740\n79435 97432\n6206 98323\n37541 50278\n3117 61771\n39433 62990\n57496 60005\n34703 77137\n12118 98762\n19741 75627\n16504 93246\n95081 95540\n50380 82116\n65705 68474\n16291 28267\n53986 84371\n39155 52471\n50679 91716\n5159 60111\n10259 73875\n54238 96038\n82862 86464\n68323 98550\n4428 76932\n13870 47965\n5940 44196\n3878 47048\n18701 31705\n48633 82111\n48389 57351\n9961 78265\n28293 89260\n1631 21311\n63200 88987\n44743 95634\n17989 18260\n13628 24992\n3314 89329\n78452 96348\n19052 80585\n45053 97139\n24808 25918\n5370 27591\n90967 91095\n34439 74875\n56303 75931\n6549 29104\n22501 92798\n34641 43577\n2280 30682\n102 33144\n9722 77758\n31021 35702\n44637 79494\n33776 76211\n25150 49973\n4932 56950\n4114 71326\n5422 20050\n29592 65909\n35374 60047\n4387 25262\n1114 11810\n46276 96656\n48629 98321\n34169 83174\n46881 95069\n16167 58169\n8439 38262\n22276 47694\n57972 79007\n13283 36069\n20007 40405\n44172 80365\n17835 94586\n75550 95273\n34631 70489\n44491 63654\n446 77507\n54646 70898\n28637 73248\n53451 84791\n35729 80799\n62392 86799\n40377 65068\n87833 93126\n9964 20833\n81412 97011\n60789 75371\n38096 39327\n39147 59650\n5500 8827\n15456 83288\n7993 8324\n51895 89377\n55427 89879\n27056 39029\n7527 61980\n6574 16845\n18183 91317\n20741 48576\n28549 70997\n1523 18011\n27818 70749\n17680 87098\n77983 78330\n71583 76261\n67795 71843\n74557 90208\n23960 85868\n5367 51253\n16927 78988\n36389 62055\n17597 49747\n34185 83787\n13142 16944\n30695 70393\n1774 29351\n6858 88279\n6801 23356\n22302 24751\n63827 71735\n61221 74178\n46027 52192\n17042 60814\n29111 98918\n11226 25971\n37738 66975\n40626 89763\n4385 74646\n72238 96418\n26335 51297\n8966 58955\n976 36267\n17977 67136\n2025 34378\n24016 41091\n57268 93319\n17953 48711\n18694 88287\n24698 52870\n44920 54136\n12098 32235\n53767 92464\n13826 98700\n18038 36223\n12592 72230\n43013 43109\n8998 99272\n33900 37280\n24247 41280\n61523 67920\n33611 76662\n14995 91007\n4406 67363\n74502 77292\n57714 89124\n21454 92605\n6704 12191\n23709 29792\n15040 38426\n32235 85932\n38883 86024\n51201 77054\n58464 77417\n48860 79482\n2750 29591\n85167 86665\n24200 74329\n15840 50702\n4708 98887\n25683 56443\n16016 54660\n46471 58397\n28709 32512\n24921 56128\n26150 74139\n33055 64553\n50276 68133\n76421 89851\n43910 71379\n5917 25828\n37038 83741\n73784 74184\n24444 54703\n42493 57355\n22476 85233\n7548 26535\n22800 56791\n19286 73251\n72473 79079\n75908 93842\n41549 89196\n5033 42912\n10002 83469\n34983 56669\n84973 95465\n30820 57968\n71338 72803\n24415 57912\n6648 11334\n14878 99400\n70272 88404\n35559 64584\n43564 82927\n16244 53414\n50225 75902\n15668 41100\n41037 69384\n2865 60881\n77899 92219\n30990 85358\n7534 13001\n20253 36085\n54171 87695\n47983 89335\n44481 88065\n49625 53474\n65984 79572\n25188 51091\n5109 33650\n23937 69099\n4586 48366\n35195 75761\n50868 97426\n27832 41533\n8501 66335\n4316 43458\n56336 90703\n81891 85407\n33478 98753\n58410 77081\n20308 21283\n59199 80767\n9530 91521\n25875 96266\n8986 96008\n28755 49889\n37304 78547\n20329 98357\n29822 85960\n26618 72635\n44329 59906\n38567 98413\n2416 65004\n60519 97612\n1445 13065\n15030 57155\n511 47865\n68224 97426\n48044 81782\n46266 82915\n32540 58599\n30214 92413\n50690 83703\n27988 93845\n58304 68430\n2951 84274\n25070 58891\n1031 2269\n20488 51540\n61635 69902\n62506 95725\n66345 96270\n72298 92359\n19964 48066\n69486 74121\n68401 92046\n15459 23026\n36675 64094\n22841 42578\n24842 36417\n15578 84706\n32685 61884\n43600 88383\n8568 27984\n41441 67387\n6776 65877\n32845 91023\n35842 79930\n13300 56631\n34806 38001\n5819 17017\n43653 48532\n22879 43383\n72314 99453\n48446 76835\n15330 36097\n190 88645\n18616 37486\n54796 98480\n48052 50946\n7111 45472\n37003 76429\n23174 81302\n31977 44252\n57069 99581\n20778 85632\n8215 97841\n16553 59323\n42987 50083\n78454 90383\n1218 56539\n37043 81724\n22717 49568\n33491 88733\n20414 67215\n55837 61434\n4604 84772\n74919 84793\n52872 62294\n29132 60938\n28782 48601\n47693 89702\n62937 94099\n20108 63002\n67746 87233\n48829 59069\n4258 76651\n14766 22323\n55966 81647\n33167 93479\n8181 58735\n11064 40962\n15908 71925\n59494 69517\n56852 99864\n18085 42007\n35140 43497\n745 83278\n11655 63984\n31490 38177\n40158 57066\n83280 85448\n14752 69015\n34149 53725\n3835 60625\n48856 73558\n31696 61768\n1657 52951\n7382 20883\n23417 31973\n81102 94933\n47450 56848\n15339 17472\n2409 44937\n14499 72905\n3540 94119\n1651 65690\n47045 60383\n45200 78536\n6322 38643\n45973 65199\n35579 42502\n59501 89677\n14578 62178\n43651 77978\n44765 74351\n63891 77730\n1697 41148\n13182 67419\n56740 57964\n5918 55817\n12638 21849\n15388 91726\n40673 51987\n8671 97137\n17726 50158\n65285 98846\n16946 63189\n27637 36276\n12244 63231\n5325 78441\n31552 64391\n19752 49238\n11 72362\n9881 88042\n78555 90951\n11367 45039\n64518 77206\n7275 82819\n57055 95110\n72590 79225\n58844 66342\n19178 89294\n86739 99628\n10560 83709\n85429 87020\n22954 42053\n38600 40265\n18976 38305\n75128 97609\n27414 66155\n26250 72991\n1661 62265\n56263 68661\n17248 92116\n7176 22257\n61646 93760\n36492 60435\n35327 76932\n15155 90159\n23199 31824\n20658 80437\n4975 71238\n42567 80335\n56379 92956\n4572 9565\n3483 43717\n34405 61303\n6429 41158\n7181 94149\n64179 82680\n60605 66533\n60143 89821\n16610 50535\n9931 92490\n1311 42365\n82310 96748\n67273 95962\n54571 56149\n31965 81902\n77404 86577\n31742 93922\n10110 71100\n15359 85591\n33041 59894\n45815 79095\n65512 70693\n36748 85683\n385 73280\n22287 40522\n46055 87391\n13409 24466\n9179 11587\n55093 83974\n31681 74360\n22688 99915\n60859 70322\n18029 52627\n53829 94547\n33951 64771\n27463 84301\n52126 55468\n6507 12564\n11381 48485\n82464 87170\n14965 75430\n19345 44127\n49060 54743\n83307 90299\n1402 76463\n55426 75236\n86546 99103\n31892 98056\n61986 82790\n8244 44456\n41235 84263\n50300 58141\n12187 67748\n79524 99419\n35672 96157\n67678 84504\n7803 80434\n1192 51471\n26019 85685\n46396 97943\n61594 83778\n37085 97674\n34314 39726\n44039 97620\n11987 55628\n73283 88906\n8472 42672\n10505 87529\n55175 81199\n37476 62264\n74958 94247\n17523 76756\n33535 94053\n16470 70819\n26840 81644\n40135 82514\n45970 94567\n40372 48688\n56132 67304\n27926 64855\n67757 95256\n58728 73919\n66735 75666\n52761 96034\n25839 58999\n13437 79817\n52491 73131\n21294 36240\n16455 39039\n19667 78647\n21208 70916\n7862 42338\n32839 72282\n6941 90412\n24235 80658\n62320 80259\n48967 62555\n16728 29923\n25160 49740\n8351 48661\n35931 85952\n8217 53643\n79712 84706\n80650 95019\n26205 33014\n68166 76603\n10773 48958\n37171 79162\n3860 34094\n3784 46755\n19847 46687\n65661 97225\n2313 33779\n45282 77389\n26520 93541\n22978 94217\n2752 31617\n3690 27489\n23160 45655\n12366 17419\n755 62727\n76412 96197\n37355 43289\n7559 72892\n6556 70791\n26085 35551\n39891 45162\n39372 95642\n2835 20656\n72212 85253\n34669 86308\n15524 93087\n7639 99953\n50044 99285\n47226 63579\n5698 10129\n34617 88039\n16478 69405\n20660 67508\n36610 52445\n14491 55700\n3115 32239\n91608 97498\n79235 90511\n2946 86309\n21645 51757\n14641 28379\n25814 30332\n5165 16395\n9620 64956\n30714 41562\n11480 87225\n40378 40888\n20827 56390\n9568 61928\n23546 90773\n7812 37233\n3012 57131\n1145 57041\n24727 62260\n31281 91972\n59762 68534\n3963 82134\n8071 69898\n12919 54510\n54978 95905\n14016 35934\n56572 78788\n38923 92202\n646 48720\n41334 93239\n7456 22908\n30954 78578\n2862 74673\n16243 21968\n41450 64789\n21153 63845\n2372 86268\n19572 87348\n39282 40922\n34354 66100\n34628 89871\n4652 28038\n13151 52277\n8850 54675\n35259 68150\n883 70120\n25891 99227\n2404 44806\n7852 21108\n48999 82073\n52487 72695\n16457 43570\n47281 93586\n34642 64117\n82697 95011\n22536 53639\n68036 73313\n41400 75619\n39848 67398\n42695 71708\n40936 75680\n56202 73085\n24866 30836\n34175 63337\n18567 58399\n76273 79092\n299 77269\n32251 81559\n32565 51331\n80308 84233\n59897 85561\n9450 69611\n50434 91585\n10805 50266\n5098 48559\n33481 69137\n40445 41264\n2993 90871\n27038 87042\n692 41408\n11912 48845\n29213 69805\n40763 50554\n55369 92862\n5065 5140\n9325 40244\n5279 96759\n792 28984\n24800 42214\n44443 92814\n75692 91897\n50631 92573\n40082 97884\n12726 93750\n56434 98815\n23234 88055\n48265 56380\n4598 55135\n292 68186\n37658 79003\n56321 99735\n6624 18181\n55262 94191\n4490 9185\n38195 81840\n11050 57706\n49011 58632\n601 14837\n18706 84721\n25926 62806\n17048 58167\n12965 48909\n74557 97936\n32036 67925\n2161 20251\n14647 71668\n5855 78541\n4070 63110\n44988 90892\n33504 67312\n9418 73143\n49484 71517\n4321 11648\n80051 98635\n37 30634\n18401 78718\n3218 63242\n8429 22634\n39365 73436\n85799 99678\n17566 52689\n78502 80252\n2760 71375\n3233 93560\n38943 80593\n12766 72962\n50244 80541\n28327 38583\n10701 30905\n35588 45291\n39086 96609\n18050 76223\n9878 36230\n27434 60755\n23630 37403\n660 87357\n63958 69729\n24999 81925\n12700 49869\n30738 39696\n13965 92583\n64357 75511\n39867 96450\n7006 21225\n23070 43875\n40034 43949\n21392 24920\n76585 97107\n842 54331\n33642 34376\n27240 50952\n16576 44371\n12038 14505\n14811 53837\n21742 46792\n70325 81130\n19184 96301\n49740 50908\n44801 46648\n12880 38120\n69094 72375\n56525 63184\n28490 48222\n22633 80643\n30043 44448\n55388 87633\n33701 52124\n18591 95670\n41321 71416\n75380 93320\n74713 84987\n15924 31006\n3838 21074\n25585 30384\n11172 38150\n2483 89356\n27597 84896\n23196 79317\n57128 76881\n75074 77813\n24896 70472\n6155 51294\n15612 45191\n21841 99882\n9826 11592\n50082 80553\n12557 67843\n82609 94670\n21867 76242\n7372 48484\n48470 96852\n16268 20035\n35509 83280\n17020 41483\n77370 96713\n9606 23161\n20842 31702\n15684 79486\n55232 64638\n12465 68934\n667 42401\n67572 76612\n10540 52329\n7470 35117\n35747 88015\n55226 66067\n43657 97937\n43208 44804\n34342 53260\n6083 26814\n66331 90651\n1499 40281\n21525 77872\n13742 52950\n81487 98987\n60910 89214\n8357 75006\n33904 56197\n49745 66725\n10757 76987\n27920 80582\n40951 64026\n45182 78068\n21627 67399\n36178 88474\n14853 42468\n32661 76080\n31634 48277\n40635 80312\n2699 78788\n13995 46345\n32394 32992\n103 32121\n41385 86546\n39527 50900\n41672 54344\n32944 96983\n37341 88049\n11945 80387\n2267 49207\n28852 69361\n7005 35344\n30136 96382\n32122 91308\n80252 87179\n20521 70907\n5634 7049\n4254 41354\n21177 50013\n42944 77125\n18004 73099\n40052 95106\n2600 24678\n58011 88065\n73021 86496\n84020 93443\n5895 57913\n44807 91330\n15911 28160\n9883 84362\n45510 81449\n46451 75909\n15342 36615\n38906 88887\n19389 25339\n673 34643\n18690 68014\n73656 82774\n8229 11137\n26089 40159\n30471 73183\n27499 44467\n28284 50713\n21021 89091\n49764 93938\n75224 87198\n60882 89848\n59515 95511\n26461 75119\n5733 60915\n33756 94541\n44181 69394\n43788 57090\n57607 63685\n20805 65257\n5286 28298\n38830 52236\n53294 70230\n62440 67134\n11629 14562\n340 38404\n54917 91606\n76232 98794\n39567 40524\n12775 81560\n20158 57369\n13356 69739\n36865 80276\n7769 32753\n14111 99077\n12937 59120\n8529 15854\n19415 59403\n17705 25819\n60175 72613\n65967 81028\n60368 66853\n20467 36027\n67710 84948\n73966 80200\n8342 94442\n71664 97328\n74842 85341\n5111 62002\n90677 92828\n41388 86024\n31881 48991\n11104 40412\n11326 73713\n66291 89414\n33153 73228\n32274 81777\n80772 82133\n49862 60963\n27147 67793\n45134 69411\n13979 49909\n27564 48466\n28992 90315\n54688 98920\n42110 43680\n35076 86998\n15690 64550\n32545 99471\n16102 60443\n18888 60192\n21759 87305\n55127 61402\n27986 76989\n20260 40619\n60483 61151\n74373 98510\n19126 78744\n57030 60566\n1421 47118\n45716 65063\n3650 54376\n7856 71190\n8032 86530\n60572 76459\n7467 85202\n6717 74504\n25806 79287\n22877 31033\n41519 64758\n59590 79717\n4228 94433\n2801 58055\n23397 75838\n12691 79914\n395 4548\n35010 54721\n9435 97171\n51737 87845\n38231 39334\n4052 21921\n29953 55314\n804 12304\n73745 94501\n185 54883\n24860 38570\n21595 63234\n31400 79493\n25323 89394\n731 77500\n27574 70043\n78047 96522\n75770 85658\n28280 63543\n3528 14092\n2902 19284\n2797 13038\n24156 97625\n4268 91672\n46449 93197\n26779 97708\n39650 73861\n31977 75182\n95177 95334\n10294 92722\n76252 95919\n19896 69873\n61558 62911\n37389 54549\n36438 46722\n34704 39687\n8883 91309\n17521 95027\n39849 48003\n31210 56220\n14643 35884\n10408 67767\n64413 65049\n19718 93160\n59732 94262\n80257 88716\n12409 34947\n39711 53227\n16452 22536\n72453 95042\n64004 95722\n44946 52406\n65387 94918\n12817 16755\n28300 48479\n3382 21103\n43046 60272\n41547 45475\n27380 77396\n1017 46154\n36856 51703\n33851 94970\n43135 48791\n73538 94999\n38884 93402\n32954 63355\n22500 82822\n95829 99402\n37530 85777\n7084 91528\n15882 54833\n39424 54514\n75231 85396\n11470 38578\n349 1934\n82391 94792\n47281 91339\n51481 83215\n19824 55656\n30957 98829\n15240 26725\n38908 64437\n2081 20073\n47249 50738\n66214 78769\n13185 73431\n10510 34803\n59106 95904\n31700 76221\n38671 90918\n45469 99568\n56045 82132\n74993 98944\n34698 86484\n83443 97820\n94 58527\n28556 59459\n27997 36173\n21018 60830\n63696 71797\n53382 59929\n24216 38684\n40343 84384\n1494 85778\n55673 83622\n11339 20627\n2297 96220\n18572 50019\n10180 63912\n24010 44711\n44325 67071\n15200 64475\n58490 79331\n89920 99901\n28040 43655\n55281 87048\n28275 43335\n89301 94076\n81661 82071\n11124 62227\n36608 80444\n35327 85190\n45531 69328\n28349 47208\n38045 65544\n58200 71770\n36972 44754\n15789 67135\n9830 17594\n65559 94671\n51509 93398\n7182 97542\n23058 95786\n18737 75419\n41025 71768\n43037 61722\n13628 39131\n21357 99625\n64671 73032\n30935 46183\n57641 78863\n12157 26193\n21661 75245\n70964 96953\n15605 31102\n50012 96999\n64195 75590\n46326 78363\n20310 51099\n61425 78215\n5958 61316\n1237 55279\n13124 67006\n2978 38578\n72609 78593\n44680 50847\n28052 74253\n3784 4707\n59000 69099\n53738 77046\n73083 79098\n61987 78725\n589 65284\n25687 29628\n41321 81147\n17256 56763\n34537 91046\n35589 43278\n23829 99016\n53977 91213\n18442 97139\n50969 55413\n39446 78278\n42297 80114\n41994 83814\n92967 98252\n3996 96465\n29450 76982\n16324 35700\n10465 71654\n8322 74701\n1568 86998\n42101 59446\n35529 91169\n12072 60318\n35035 60666\n15844 64514\n6698 58366\n19360 41477\n78423 92203\n40315 70544\n43457 57601\n60931 87872\n3492 34997\n8919 33673\n39373 94587\n8511 11024\n50469 91627\n27986 45531\n59852 79803\n72498 93872\n36504 95867\n11553 79315\n47626 78362\n3162 78593\n2115 71522\n61613 89261\n41837 93261\n55538 62392\n43608 93197\n5511 89139\n43905 74620\n41276 47771\n28754 52916\n29801 76375\n72027 79894\n29036 69895\n56599 84376\n43253 56182\n22220 35727\n39871 85450\n49121 71829\n9419 86649\n30294 66865\n92385 97344\n66493 72800\n38800 82524\n36332 69413\n17063 82348\n54744 92693\n90198 93387\n11100 66246\n67764 91771\n29420 88749\n29612 59705\n20782 81181\n11058 67779\n14700 39877\n461 41816\n39627 88298\n35734 74843\n12508 23618\n23899 47079\n27171 76952\n50759 87430\n13986 24635\n14253 65572\n26521 45123\n74495 77455\n4038 17147\n89705 95344\n20321 71980\n15820 22901\n20459 83200\n9768 77808\n8879 74697\n54751 57386\n45774 90075\n7167 48854\n76127 84830\n25959 64211\n28827 77402\n49707 87841\n18675 39120\n72000 80911\n31794 33692\n98381 99891\n9192 76269\n4858 84513\n43218 49444\n18850 70525\n26748 70532\n69648 73396\n34787 60648\n4948 24690\n5794 77442\n27140 46031\n10304 53784\n9192 83292\n12781 13620\n32595 33789\n52278 97438\n31743 59859\n46608 52059\n6373 63185\n20301 42871\n37548 40627\n13968 54156\n74607 88073\n7871 20188\n17987 60527\n39876 49333\n44899 95004\n21039 33715\n31908 33425\n9191 12763\n27710 59779\n6158 74724\n42866 64472\n59588 73724\n56834 60657\n42491 50608\n17522 93556\n39549 47274\n66621 72802\n82610 91698\n63889 67125\n26323 66330\n23088 25400\n52031 54296\n4627 78405\n33749 41486\n8412 80317\n43709 63134\n41091 44828\n58774 73983\n38138 96163\n3555 79112\n54065 60275\n32555 54968\n18983 39187\n28866 39538\n74785 83663\n767 71695\n66904 92429\n40725 54927\n16009 94447\n84085 84649\n6355 55657\n2801 56123\n17354 30424\n62920 88131\n30490 94836\n39595 56640\n17215 61830\n77574 96950\n10288 79916\n41010 56692\n51759 66866\n23472 68473\n66621 77525\n26135 82016\n27486 58468\n41378 79500\n2772 97377\n24010 74682\n19618 90923\n41723 47962\n68336 92696\n37282 90941\n61189 81146\n67848 87066\n75002 84905\n2868 13716\n38021 40332\n24281 43687\n84836 95989\n13096 91152\n23470 78077\n31240 38449\n28221 48520\n67831 83738\n15679 89202\n19943 97167\n12246 95253\n40963 77487\n80280 89621\n59906 80579\n85709 99730\n20261 63685\n69596 77923\n19176 41229\n8671 96476\n69563 73122\n28239 49743\n67270 88604\n42166 53312\n18884 90929\n54977 77843\n62517 70938\n15532 70324\n85016 97998\n67542 82046\n2798 27758\n23124 98475\n28694 77542\n30753 59030\n16076 74360\n53143 59815\n5657 54997\n49733 78219\n39516 73960\n35238 88841\n55164 86500\n33338 49997\n38509 90450\n36363 45612\n16453 31200\n16126 21567\n54151 61938\n49214 82119\n51296 94485\n9775 29120\n8168 79866\n83307 92896\n26807 38946\n59909 83766\n83752 99421\n9741 57254\n23363 38686\n56091 86486\n1945 51630\n41242 99216\n24567 52159\n21553 57861\n67564 99264\n9156 67965\n16501 31858\n62494 75547\n56777 93615\n11734 82328\n14136 96755\n15708 95904\n54265 95430\n12428 61788\n51581 91890\n62890 92063\n17758 43291\n7019 28019\n6344 29720\n46338 79590\n4151 77304\n2130 23359\n33545 54192\n72951 90497\n40451 85921\n1483 79960\n59377 60810\n24710 63310\n14632 42018\n6284 60968\n39934 47727\n25755 99923\n39097 49731\n15644 73976\n18386 79546\n12286 99888\n23837 79028\n9306 84547\n39494 68438\n37755 61820\n22918 79517\n29113 78167\n60596 70948\n4508 30461\n69966 92933\n977 13784\n51324 86589\n55520 82678\n40410 48074\n33884 69279\n39481 98603\n57247 89476\n2449 29334\n3958 35917\n44759 82062\n81029 92799\n21709 97467\n9858 31232\n14154 37362\n21575 29918\n28637 90165\n38521 76808\n48296 65770\n49789 94070\n4001 21105\n6613 61169\n43184 66976\n61517 75658\n15204 99302\n36182 80987\n6665 40148\n24707 84906\n79643 81164\n48253 78151\n73150 80095\n35710 85488\n1894 62731\n15717 63622\n3464 37813\n19501 80107\n31610 81001\n21936 43671\n16285 68057\n17526 40867\n7527 91887\n71964 76930\n17199 62000\n45361 91624\n56633 79060\n64564 91128\n60199 89343\n1286 73160\n32056 46578\n6323 68526\n46355 52289\n73440 90002\n30682 54780\n8813 89409\n26314 92260\n13123 52413\n33029 61456\n8243 49562\n71316 90118\n7745 63460\n64525 99312\n53312 53890\n82484 98212\n35955 46724\n7793 25027\n39739 65955\n80067 86901\n45832 88186\n20032 74301\n22273 46817\n80472 94631\n20150 92110\n21139 71788\n36755 95068\n5204 90310\n19865 58780\n3995 6262\n8123 90656\n6088 24576\n44362 90404\n1749 59031\n222 2528\n31335 59199\n91937 93189\n44683 69227\n1555 19819\n21331 53984\n63992 90627\n3611 34766\n7671 76504\n9787 36072\n40366 71072\n35939 86030\n25793 35946\n28028 81679\n28516 72309\n25851 57111\n487 19593\n50133 96591\n56190 77258\n10190 33681\n91049 97987\n57825 94492\n8679 69996\n70179 84669\n24901 83710\n44211 83762\n4580 57547\n47747 95561\n66681 97560\n14884 82068\n15411 38124\n24982 80689\n2104 29974\n40507 81493\n52513 75827\n53961 62902\n12679 84837\n34507 71367\n3942 82596\n29337 56125\n31412 72978\n41452 54940\n52595 95795\n2793 68011\n12624 85555\n15662 96909\n2164 57108\n77607 97842\n47338 81268\n10824 12961\n3602 66870\n7310 87676\n18723 40925\n56450 80551\n5392 34065\n57015 57548\n11452 93749\n65212 97151\n4605 97630\n16086 94134\n10749 25256\n40345 55569\n31130 89123\n12796 62477\n61564 83090\n1914 4047\n13947 34768\n4519 61343\n58566 96319\n4857 44229\n39068 70363\n35248 83142\n79826 91539\n30725 84731\n12764 70804\n1839 38434\n22552 61359\n75320 79372\n42012 83230\n41409 67513\n68350 97323\n41271 93608\n69200 85634\n14989 62206\n45112 59913\n2085 42310\n27297 45691\n80404 96829\n2307 82043\n2162 42329\n43048 47219\n73431 87209\n13432 15991\n731 39779\n41173 94192\n4976 48876\n39414 39699\n532 65683\n71421 84903\n49078 73048\n5446 94722\n1536 47511\n76462 88655\n87141 88329\n22804 93982\n69945 95208\n10381 53433\n49087 79912\n13131 59540\n82225 99143\n13704 63097\n12370 28349\n26113 82084\n52695 90208\n33337 54362\n45581 86231\n30571 39243\n42448 82150\n45336 77817\n6846 84440\n18747 63080\n43400 57371\n20748 40510\n57325 88689\n32621 84695\n36522 68272\n23184 75728\n35448 76613\n45728 88079\n7024 10080\n38679 53276\n51672 94074\n17995 78533\n37293 39998\n7740 78492\n38040 65062\n62202 66064\n68176 82310\n53809 99995\n42522 46638\n83472 95295\n66093 82991\n44963 89628\n31520 53491\n38681 58137\n26649 36068\n28369 49758\n2702 40375\n41222 48814\n34113 60239\n26753 99215\n50791 89017\n47863 59605\n11627 56403\n63262 84649\n1995 9659\n40811 85447\n14414 93991\n10860 94615\n49166 83598\n34469 83351\n9499 59454\n10420 84937\n63959 70938\n6979 55804\n86095 92402\n26235 76946\n46269 81719\n3146 10272\n1314 55918\n11270 75844\n29443 71484\n61781 93112\n4843 82802\n8484 9960\n67510 86415\n15739 39133\n51525 55163\n30520 79684\n15461 83364\n647 10122\n9877 36819\n746 7105\n12370 98650\n10309 60813\n23332 97477\n36366 40384\n62691 81179\n70557 71203\n49953 61470\n19798 42652\n597 57506\n16467 84870\n69232 92408\n57246 91431\n50726 63164\n9735 67233\n71722 91799\n71655 73421\n48762 81128\n6262 88641\n19421 67755\n18040 27064\n68253 84601\n15529 67062\n42216 96358\n27853 38243\n56562 72849\n93135 95280\n2111 4508\n40699 88255\n26888 75611\n50620 62243\n38834 92496\n33130 47818\n29377 81597\n10991 65560\n67603 92058\n8387 29203\n51937 67164\n7764 99009\n43376 92523\n52833 79196\n11163 44886\n10112 91948\n10753 19749\n28454 49808\n39644 42689\n1201 80506\n14682 68780\n40130 68127\n62508 80881\n39129 67408\n49737 62720\n66369 69323\n12767 31891\n25168 88179\n41298 89970\n45288 64044\n48338 72253\n43063 43652\n15619 36359\n13085 22593\n23442 65577\n21111 23556\n62491 66247\n11299 60607\n50639 50682\n94996 95365\n15141 95858\n21310 95818\n24253 93827\n90200 97202\n13794 50477\n9553 57806\n24408 88676\n54969 82365\n37477 39405\n86610 88307\n37356 39677\n11966 77782\n44513 71846\n18210 23090\n6876 95027\n54409 54607\n55205 92461\n54184 60595\n988 55333\n29941 36182\n52276 63144\n33758 34961\n18201 38351\n39418 87846\n42934 89278\n2874 3310\n20392 70444\n12024 15706\n13998 48839\n36108 45054\n1059 21047\n88426 98773\n6684 17206\n10641 60543\n68433 73942\n9526 50978\n93012 97249\n47338 48879\n44151 84142\n71298 95814\n34672 70962\n34554 93153\n79508 89233\n70078 90520\n2816 55139\n42395 50029\n41394 52535\n3883 67715\n40744 44224\n43829 77782\n60408 93214\n50095 92685\n42158 78673\n10240 44552\n37017 83421\n57023 89513\n46098 83860\n41803 46631\n59799 59953\n17075 27378\n7779 44401\n47610 79915\n25078 67012\n61878 83925\n64691 67145\n12924 58893\n54177 63520\n22507 64728\n18292 98813\n87920 96377\n36453 82437\n14331 84496\n54236 64814\n31563 75174\n11799 76550\n7289 15283\n20758 55398\n49626 85971\n48596 62578\n1888 89733\n39420 64323\n5078 65346\n7682 16367\n11716 55636\n39219 61872\n63267 81939\n27572 63779\n40774 73765\n32201 93706\n41703 53276\n51943 95154\n56719 94583\n79854 81194\n23040 41471\n40351 62189\n65101 89383\n28830 33424\n5926 54741\n87024 96845\n53722 75324\n26157 69205\n47844 54927\n12832 17149\n7606 56456\n51600 81434\n29166 95774\n29810 30589\n7644 17741\n14077 56062\n31240 43026\n1242 39203\n70605 83498\n11976 69026\n47254 69081\n42744 52753\n26761 38015\n3110 12556\n33813 84710\n32767 73835\n8001 77800\n41957 87894\n22997 34042\n38253 57191\n73456 86645\n17576 30786\n89017 98157\n3283 77266\n39350 75716\n37634 40950\n32795 74605\n60213 80721\n80022 89872\n48555 93095\n28106 95362\n51935 67204\n58743 86211\n15636 69540\n2829 51608\n17432 73405\n3289 82285\n55418 64443\n12927 69564\n37821 98826\n10658 28469\n9011 74717\n41711 67805\n26444 46223\n65798 95768\n6611 62530\n1196 2166\n36143 82420\n65883 81002\n17084 42197\n58796 86027\n20988 80522\n47987 74883\n21767 58941\n45182 80263\n74795 88815\n39845 71455\n56221 98253\n72270 81692\n14746 89177\n58490 60419\n25553 84666\n53561 59446\n62216 82730\n17510 72149\n22143 99593\n33282 53631\n28915 63871\n27308 48299\n20625 63065\n24636 37047\n18815 31531\n28464 33852\n20133 60493\n63093 91547\n10186 62166\n61713 76028\n1915 20827\n43204 69545\n53769 70865\n13500 26339\n2254 21508\n29640 88489\n13433 52110\n37819 76219\n22647 22725\n62231 63808\n16691 55765\n55797 68985\n643 61625\n18190 99946\n10677 90432\n10643 50342\n35678 54314\n3802 32180\n52416 99260\n16696 50289\n25741 37792\n93756 97014\n78432 80214\n51575 86171\n18168 28797\n66196 88506\n53280 94804\n29177 99033\n29580 94248\n58304 78779\n48141 57727\n10242 99082\n66889 91238\n27395 44856\n65476 78268\n30863 89378\n11805 69315\n70119 89796\n13426 79050\n41859 81987\n15184 75684\n7438 16261\n44791 75612\n8886 48496\n35582 82158\n69199 87988\n48042 59854\n47357 85677\n37737 99183\n35908 57356\n57325 95095\n22442 58242\n21251 90830\n8428 24798\n55202 60811\n71197 97159\n64101 75251\n2732 39089\n98132 98344\n61093 90890\n21363 83342\n36930 57832\n8134 87417\n3976 99913\n71855 94294\n31484 75926\n57109 92317\n59493 69398\n30572 77339\n6636 14719\n14108 47906\n157 50610\n20110 42882\n36592 52395\n62617 63214\n55679 96024\n15365 18703\n34655 98987\n47629 58831\n19338 65332\n72584 88520\n42175 83859\n25657 68863\n83904 91102\n31949 85469\n59815 66383\n25751 98818\n47310 98145\n5683 27486\n37097 37236\n69492 97702\n433 58789\n55122 57428\n43489 54083\n47141 77507\n85587 92872\n33420 71966\n46577 59817\n738 25807\n44532 75322\n75917 96174\n12999 61020\n20184 33029\n62855 74892\n12370 72022\n69117 84228\n63622 67203\n7639 95840\n23509 84874\n8040 42245\n9152 38648\n5774 91305\n62208 99540\n55068 96565\n11587 70880\n58253 92222\n45879 96218\n38426 68221\n32662 44181\n34862 95195\n26803 87024\n31186 39943\n78726 96262\n15868 55042\n47885 97123\n13446 29119\n68604 78782\n5677 46704\n49567 77131\n47245 72546\n75167 78497\n2037 94685\n41275 77150\n29890 78646\n45583 51157\n41968 93201\n10356 71590\n74028 99437\n17076 25406\n20795 67619\n12992 54504\n6253 43102\n80206 90546\n35362 78324\n12630 30238\n50394 84320\n1747 8983\n29673 36619\n12685 43091\n8665 52457\n32055 50635\n9475 99358\n69392 87593\n13300 48357\n176 40886\n4297 59688\n74647 78179\n23089 80456\n66870 84308\n19513 75716\n25970 71853\n41363 66775\n9836 94387\n26762 32711\n12377 63257\n47635 65159\n72540 96358\n19128 97180\n5717 8217\n30053 37779\n52159 61474\n15046 30351\n32947 80411\n5163 93081\n65415 66146\n22894 33469\n14647 53855\n71526 80024\n41341 60444\n5207 13100\n2402 46807\n37008 76602\n19209 36385\n3220 14957\n35747 37171\n60840 94352\n24780 58702\n49762 91569\n24601 43948\n32072 37775\n69395 91726\n4632 86723\n56532 56967\n23810 40794\n58927 92939\n4424 36386\n17527 68137\n55933 99675\n4024 98579\n6771 27983\n67377 82460\n27124 85187\n43663 93908\n32539 54017\n72779 74699\n92712 93770\n5569 31310\n67542 91028\n47427 52337\n62539 80329\n70319 85187\n66642 66898\n18069 78198\n49923 73342\n91404 95978\n57364 99409\n65409 72566\n9513 83455\n30726 72843\n71452 93935\n29082 89841\n32738 38262\n39518 87970\n44228 50587\n46371 56379\n72686 73812\n6061 75739\n33400 89261\n42845 77290\n62102 88423\n74219 96974\n31693 35328\n45467 71193\n24238 40689\n8759 41075\n2985 28646\n21730 56280\n16861 60755\n29933 78775\n46775 78025\n8545 60232\n6043 12979\n52053 69183\n67116 79527\n21754 78415\n59516 87989\n32465 56454\n10985 51021\n39605 40053\n18557 63295\n6431 51480\n32588 95093\n78257 85042\n30152 34879\n21390 69866\n46586 74630\n64361 94831\n23864 81131\n7144 40124\n6264 93486\n20488 71892\n60832 89108\n12302 35526\n36164 54546\n10049 77023\n75177 94516\n21525 58572\n32103 80952\n37875 64091\n41413 55194\n13457 95451\n27002 47507\n45989 82852\n20061 61874\n84616 95419\n83760 84717\n46588 86314\n41865 68945\n63309 82696\n62677 68455\n1223 73287\n42442 71311\n28210 31175\n43624 98149\n43817 86907\n52528 73143\n54455 91162\n37493 68580\n52072 60163\n24560 26701\n31718 84158\n20504 22353\n23854 27935\n22316 61342\n65451 93231\n30425 78678\n61825 75321\n7442 99839\n7823 76469\n74857 78515\n56476 85159\n45767 88347\n43128 92217\n18905 92878\n57262 90154\n52717 82457\n38874 65038\n19301 61732\n46580 77187\n73192 96777\n38962 60375\n54796 60325\n81844 93259\n64829 77718\n25750 26522\n48077 48164\n1134 2854\n50119 82144\n14552 31028\n56799 94598\n16310 80402\n32020 51355\n45731 94764\n13794 23126\n14606 74775\n56093 87405\n30027 35285\n46179 79485\n86808 93323\n14430 66684\n60865 64954\n24463 58408\n34448 57177\n50761 71863\n168 12594\n11706 17543\n85341 95263\n37289 64883\n57048 95966\n8952 45429\n3307 13498\n78420 80235\n83694 91622\n9622 75770\n23957 94270\n26035 29599\n54783 64931\n39519 53136\n74358 82527\n26884 78918\n26952 79311\n25903 76686\n10508 29891\n36320 86506\n64385 76981\n31712 95801\n33492 73314\n41948 46893\n3150 6207\n91551 91609\n14551 25000\n69141 73059\n22500 87343\n49575 96274\n76637 85204\n41841 92626\n25101 97279\n14065 58579\n9400 12369\n13320 52808\n22320 23057\n23761 47455\n4925 6339\n22867 45135\n49671 95896\n74818 95751\n6145 52895\n14571 37844\n4743 5130\n24141 76723\n18789 67455\n6581 91637\n25759 29763\n3933 56368\n6542 61123\n14465 25646\n295 11683\n45103 63944\n2722 59062\n5614 61444\n43451 72549\n19960 91067\n45493 75232\n56399 69393\n63015 68148\n82602 86927\n88111 90768\n75574 78364\n78768 80047\n22550 54543\n18872 46285\n37892 73539\n50294 60974\n16281 48375\n12362 15912\n50244 72499\n16426 75250\n7751 19785\n10963 98770\n6605 43797\n25567 31254\n55512 98586\n10910 28042\n68111 70448\n79281 83482\n60232 94805\n47319 48980\n2408 36503\n25999 95335\n76629 80036\n74142 83255\n9239 96667\n66810 67339\n2416 70998\n33769 48928\n50614 54394\n2699 87252\n69749 72886\n46583 77169\n41639 71824\n20933 93750\n84990 86607\n29074 31352\n22484 52144\n64162 98367\n28420 52655\n35626 82921\n79262 97778\n78710 90511\n4218 98203\n8766 36510\n4425 43536\n26054 91609\n56815 76065\n68344 74673\n1835 74147\n63466 68698\n32288 60624\n16768 39685\n10124 65955\n85852 91031\n28936 46334\n2485 5325\n55434 92987\n4150 55286\n8853 16704\n87319 89051\n25860 98986\n22777 81775\n60906 65974\n22267 95956\n3989 29274\n930 85781\n63643 84515\n65796 83427\n63426 88312\n53525 63879\n40216 52146\n7736 95986\n15236 46442\n53347 80508\n3053 33271\n9255 33355\n25588 50004\n93125 95379\n97465 99248\n39132 45004\n59077 77796\n67678 93245\n60201 73701\n12516 64313\n58441 88023\n12905 65719\n52684 66109\n5713 9761\n25976 83071\n13345 70146\n75702 99297\n19530 66672\n5364 53165\n21195 28796\n6344 8457\n61804 65029\n14006 29143\n5599 50210\n43679 46749\n18284 72814\n40523 84700\n27893 51896\n7671 49912\n9222 37726\n11084 89940\n7662 76769\n77946 84187\n33923 64432\n85435 86952\n55340 89297\n27317 71150\n12034 52184\n54137 77216\n52104 74691\n28123 50420\n53297 67256\n43487 63153\n45774 67064\n17426 27636\n5840 29478\n22106 63074\n1944 22612\n5658 16330\n4354 19883\n36246 84377\n3929 35350\n7035 86579\n52373 71442\n33948 58430\n6104 89492\n1324 78927\n74258 96422\n32032 93902\n45445 91540\n124 70440\n1391 19621\n14322 93445\n62310 84532\n50644 82437\n20423 44863\n23619 65219\n30041 46622\n11592 76269\n70230 90953\n13738 53255\n27105 29487\n13287 17224\n7732 16888\n35455 55774\n30088 93576\n58709 82455\n34445 79795\n33717 60564\n45475 97598\n4198 49326\n48480 48907\n35180 55469\n31558 58974\n35956 86608\n43629 71080\n43565 73770\n21070 52365\n13724 50441\n97950 99583\n60278 67854\n17785 22400\n20467 24522\n58390 87739\n86524 87977\n32505 87025\n3641 72285\n23302 34673\n34487 98917\n7450 25920\n6391 24463\n45228 74680\n5150 80014\n24799 28985\n14162 52437\n45838 82796\n63431 99801\n21614 50739\n39944 76894\n73173 92072\n45040 65413\n39730 76378\n9488 61685\n29583 58253\n31483 64886\n93268 96210\n18136 23923\n21800 53032\n5539 52065\n341 7428\n26668 37980\n50737 82227\n36912 92721\n13716 86738\n23081 42984\n34102 81556\n66061 73105\n50247 65593\n94037 96174\n56754 84148\n49046 73563\n2359 54141\n5562 38788\n2192 20891\n22664 27076\n12142 12798\n45348 86149\n26334 92021\n35209 35414\n16349 45436\n6857 45062\n96368 97435\n73673 79437\n24289 62197\n29781 77462\n47931 88495\n49767 64840\n40234 96944\n82928 88519\n82488 84721\n29637 94827\n29292 47649\n22167 80951\n648 34330\n22425 98428\n4614 82294\n21721 69856\n56714 98581\n37991 63915\n39414 66095\n43107 75368\n16283 55084\n40197 74508\n6148 47071\n16324 99410\n74159 84091\n23051 68870\n27541 68931\n35352 86965\n34381 98056\n10187 24667\n44495 50281\n12564 87950\n38136 94412\n51869 51947\n21271 44905\n39516 60133\n4586 27952\n14178 51871\n69265 95485\n73263 75291\n61421 83480\n36326 59792\n4702 76893\n10606 45968\n39885 61859\n86690 91944\n47168 58392\n79079 99113\n266 65915\n67353 92378\n31855 58858\n33103 59724\n46206 77488\n51073 69196\n22926 46433\n10969 95753\n17906 75795\n13099 92261\n45785 91294\n10576 35521\n39959 64904\n9377 39998\n9058 37074\n23868 99706\n26446 74267\n19174 28298\n9703 33431\n45958 50087\n48423 68085\n57715 93068\n45929 84544\n25223 69890\n17242 34165\n67034 94642\n29247 57644\n27716 28462\n92226 93401\n18546 49255\n84434 90703\n34802 75258\n5116 63818\n52462 61016\n57876 88797\n16913 31716\n65364 94599\n53870 83731\n2353 32356\n82103 94125\n14494 38202\n62408 93138\n4523 46182\n54461 93194\n18009 60347\n3659 51357\n67580 87707\n14798 26877\n29312 81315\n30267 68070\n8736 10704\n3845 22650\n6518 26895\n5192 57646\n43728 96912\n38556 56719\n55487 93771\n5406 41046\n3420 8360\n57829 98059\n49039 54745\n24671 87909\n75430 76299\n62359 70595\n19207 20209\n55663 61714\n88991 97444\n73986 77095\n55854 68084\n27627 90764\n14641 86799\n74497 92195\n25725 37009\n23345 95902\n54218 62800\n73304 85412\n23880 32616\n39776 65589\n5277 87716\n46784 88556\n14857 49684\n46957 67377\n14907 89753\n76613 80005\n55703 80900\n11781 68797\n21793 82183\n8150 64456\n70542 93111\n11865 45763\n13646 28231\n40240 41584\n8083 30054\n12888 41549\n10787 52536\n60894 63450\n34951 84435\n4398 98868\n38443 51473\n3904 10690\n47612 53758\n12195 76672\n28200 44098\n24632 92495\n91553 94592\n74860 96522\n63456 89645\n52175 64736\n670 61497\n46315 79695\n34563 73675\n18466 27363\n24291 80453\n58956 81968\n40137 67724\n6483 23109\n54088 67285\n43921 77687\n27046 89660\n84392 95524\n46189 87604\n7155 88256\n3536 59464\n20423 55697\n36542 70568\n9942 95153\n3478 23158\n52330 83907\n67721 88988\n42441 59040\n27981 59508\n44018 81490\n71280 96014\n67919 97965\n52518 69158\n26281 43410\n83067 84098\n20871 57944\n18148 26266\n19090 89763\n40696 71076\n38569 66313\n28477 90849\n1168 23152\n8935 87666\n24751 83426\n48205 86863\n28768 78261\n13078 71257\n12964 48850\n2853 28404\n42434 80516\n75169 91324\n20302 47495\n54481 68913\n56906 73316\n64213 81966\n37386 59533\n42028 94461\n64490 90659\n31299 76766\n42049 89177\n93209 97216\n38431 55809\n2322 58592\n6236 19793\n32278 74254\n33967 77626\n13706 38827\n41038 57797\n12871 33393\n10633 51781\n34011 77873\n27015 55281\n64731 68622\n73643 80254\n42676 48942\n42270 64961\n64264 89577\n34790 53442\n20391 38682\n44393 65317\n27346 84120\n11000 30275\n40648 86660\n85360 91933\n21670 73995\n138 8907\n38605 60609\n16822 53925\n47239 75162\n36072 99923\n17839 37087\n12046 90499\n8708 73857\n3697 29843\n56713 94541\n19944 57763\n24181 81160\n97011 99176\n11190 46982\n59325 90919\n9535 79904\n45247 79434\n21052 35059\n6433 54148\n20459 24914\n35133 72708\n54510 78078\n10192 32219\n21496 39859\n29505 44290\n22935 38933\n55975 67681\n58061 67493\n42826 58655\n49066 77436\n524 65929\n62281 96990\n1758 53239\n2958 35223\n17731 47196\n21497 73293\n39018 43879\n35339 56926\n5852 84382\n31834 62164\n57765 73844\n7015 75322\n26327 44744\n33953 36260\n62094 95363\n35115 62930\n63452 83803\n19189 24924\n5301 73186\n4900 34598\n27067 96417\n43376 61526\n38181 42257\n8216 58571\n83634 90997\n40606 83669\n61394 70953\n13195 46302\n14052 36905\n87463 96362\n38403 77252\n35069 36577\n40386 56487\n18925 84329\n32501 48865\n3281 38141\n60489 98172\n38399 82736\n19995 29783\n31333 71916\n18818 82988\n64360 97530\n30626 73703\n12403 23468\n80298 85978\n14269 88232\n50650 62784\n168 95415\n1533 41063\n2815 68269\n47364 66390\n15213 29997\n18297 43113\n2330 28296\n67737 94149\n46029 53361\n14653 58406\n68785 72159\n20228 83120\n50819 98544\n63345 76031\n48011 56601\n29186 48809\n33991 85595\n11277 22830\n18787 71414\n20489 68646\n54582 69735\n19525 63187\n24002 53466\n27747 63186\n41907 74625\n90433 96455\n23423 66432\n1970 55619\n2890 63967\n4608 48216\n32376 65699\n76768 90919\n15521 32619\n30452 31831\n5920 75667\n4040 52964\n3132 84517\n28182 64349\n62744 69035\n8820 47478\n39570 47549\n71144 97583\n56193 84355\n24401 92225\n35469 38741\n36500 73358\n41091 69557\n23496 28583\n25191 28785\n51861 80204\n25328 64602\n3520 4242\n29871 94762\n17061 99483\n77895 81316\n17822 60591\n63336 63436\n48494 91331\n44354 50320\n48176 86543\n33921 89473\n60539 79124\n30667 54453\n8235 37862\n40204 66687\n16470 20763\n11823 38975\n54688 72161\n64762 73440\n43055 68501\n29163 96230\n19240 47557\n32722 58833\n4326 76424\n16973 71319\n19703 83702\n18107 61750\n81856 94598\n3942 68836\n1305 25414\n23716 52031\n42207 67100\n615 25278\n50381 67845\n34877 49842\n88584 95847\n75958 88222\n5944 95559\n44678 71968\n12694 21350\n70970 92199\n52028 57859\n53883 78415\n27957 50085\n11810 89935\n4960 75090\n10920 71077\n30564 92081\n79374 79705\n39652 75941\n35306 97371\n15636 97737\n18879 35673\n33308 39464\n17846 92175\n34221 60317\n1817 89713\n48400 60081\n78943 92199\n19274 60617\n60336 60671\n2367 73712\n7011 45902\n63389 86843\n44699 47424\n70098 90944\n70849 87581\n61737 71890\n21268 74864\n26114 56357\n7422 14248\n69192 85602\n4285 92342\n20836 62945\n7711 85021\n38265 76842\n48385 88565\n10512 95289\n32632 55994\n1276 66071\n32124 92904\n42154 73877\n22833 81310\n32956 51245\n47542 57281\n17936 36111\n19098 85166\n4415 50981\n4978 43622\n5712 26532\n55140 55187\n51851 58302\n39966 64094\n84148 92434\n53088 81323\n33026 79250\n2634 83686\n15500 59851\n8245 86505\n191 41980\n47295 78900\n60482 62720\n73211 74130\n9977 93702\n6653 33162\n41790 99191\n959 91615\n42843 78367\n28379 64141\n76343 84653\n5956 12405\n25386 89603\n2665 82019\n65022 76195\n25310 25757\n12635 58361\n35928 40669\n79365 80774\n8422 52910\n9806 39215\n50839 59583\n78657 83964\n37823 87399\n12085 89132\n88899 91303\n41129 41147\n75682 90679\n20641 76903\n24598 42662\n43538 83810\n35083 79841\n31244 88416\n25578 82898\n45992 73624\n45859 76595\n45556 83183\n6649 44860\n12870 87976\n16049 40958\n77089 91573\n13675 54539\n29332 65507\n4746 93912\n3397 52273\n66969 86373\n760 67318\n45488 96753\n60957 84647\n6966 77233\n3941 11008\n69313 91707\n23197 87117\n27205 78585\n6639 38524\n9683 70708\n33408 37412\n33866 83115\n30682 30720\n70933 92260\n48638 95059\n44333 74875\n21119 25382\n18496 56988\n59661 66191\n32672 70073\n4499 12878\n36360 63401\n53012 65134\n50285 76620\n34557 83330\n69777 78025\n24301 64866\n31903 78213\n17066 25825\n77649 82323\n25485 83982\n27830 81696\n14801 63366\n45561 70637\n75231 75630\n8172 68365\n20603 96102\n1198 45410\n26780 68502\n65477 72244\n9123 76697\n2419 16631\n17521 29808\n54505 95395\n50196 59985\n3619 42246\n66389 69431\n33651 77797\n49561 94634\n54590 88169\n5878 71463\n18883 54671\n81490 98641\n17970 29453\n41491 75644\n60154 76730\n26249 40290\n62527 69104\n5053 81778\n39884 59652\n25926 60601\n50631 56545\n2186 74982\n53301 81999\n42100 54372\n17014 78499\n67187 99792\n23687 76722\n14666 93010\n15277 15570\n36348 84309\n13380 64794\n13495 84058\n12954 64242\n20963 93822\n76744 98194\n36373 85117\n45176 47104\n19439 61159\n26516 92294\n8074 47246\n87116 95458\n46659 53365\n4305 48297\n29312 60056\n2373 42533\n70173 85555\n30444 85252\n23951 37188\n14248 48429\n59425 89920\n47519 99633\n29349 57148\n23924 61039\n18384 67432\n52621 91838\n34367 55815\n26936 97489\n78615 97903\n78202 90078\n29499 66889\n44328 44539\n52929 90131\n19190 56561\n28568 35028\n1763 34443\n39666 67223\n42823 87387\n73393 86343\n54238 65279\n5224 23467\n36234 76352\n10070 98734\n27561 83298\n23882 75667\n39783 46321\n49421 99997\n36417 97998\n34049 81527\n63501 89738\n28338 68227\n48941 61253\n5365 72224\n15741 50501\n53322 94500\n11237 59182\n29870 98187\n59344 76211\n37875 85174\n22319 26136\n44594 60276\n7922 52680\n83807 85216\n27243 33889\n24112 33929\n27556 42295\n61779 92619\n28258 87824\n43924 77120\n30720 40937\n8965 72274\n25479 79427\n54337 68413\n13327 51884\n61445 83601\n93937 96988\n50756 53134\n21278 53612\n17392 64712\n53812 90296\n18905 59435\n71438 92802\n57545 86733\n79557 92300\n8173 94373\n53304 82368\n14291 33219\n54498 88431\n6348 15955\n65126 95892\n51860 60663\n57303 76178\n11369 42516\n7593 63705\n87902 90281\n26483 29141\n42318 67973\n7430 13383\n3749 60813\n23733 57194\n2558 49903\n10786 59973\n67202 88222\n83454 93785\n17882 28854\n7026 87336\n62812 85645\n14629 90200\n56940 98888\n92215 95287\n14870 93891\n31880 65164\n2425 73696\n45446 70583\n6550 48882\n799 49042\n2951 35582\n84614 94814\n6175 30299\n41909 99660\n40972 76162\n5548 25475\n12069 99551\n63897 83489\n1687 7607\n22373 32304\n2025 47611\n8984 54864\n41476 56648\n37225 56309\n7594 74889\n7725 50750\n77062 90913\n37704 69951\n16713 52216\n29429 40650\n37631 85135\n48711 60631\n10977 34214\n11882 51721\n17100 19936\n13007 68572\n70235 97649\n7193 92344\n66691 88597\n6978 76931\n83899 97513\n10781 37714\n30435 84728\n30023 78400\n42222 86217\n50934 63469\n6549 91852\n8759 83672\n35482 80185\n60435 72111\n35799 86283\n29604 58587\n10472 32992\n20030 54345\n34822 48655\n32194 79567\n15447 40425\n1985 9800\n27059 87588\n1598 15787\n51294 73963\n24654 64814\n14425 54723\n816 90553\n34923 87444\n68033 98656\n4242 44094\n42669 67607\n5257 92887\n65222 75989\n8929 70129\n38329 43142\n44406 87807\n14438 48043\n69397 93460\n45040 75592\n35030 38613\n35996 92600\n14246 84448\n3451 41303\n7737 59405\n46603 78522\n16943 32263\n81871 99214\n18657 25061\n54373 84528\n90295 94451\n34053 64753\n9575 16871\n55555 97246\n5953 65338\n4294 89052\n71975 99019\n50404 89604\n67536 99599\n17096 37698\n79849 83373\n9395 41224\n3528 87107\n4614 12479\n22563 51741\n3058 40908\n31057 37666\n22333 61801\n59650 70276\n18039 25744\n20362 75539\n6854 36201\n17813 27315\n5093 94261\n35969 65290\n14383 95600\n5590 14071\n87419 94781\n83830 93314\n60102 91826\n28590 68976\n46391 72636\n83605 85912\n67284 87036\n5550 42450\n74889 81433\n1872 39245\n16587 41177\n2250 40193\n44659 61189\n6084 85675\n29535 77266\n15050 82257\n26969 95331\n59970 77416\n79584 92362\n14037 49282\n26503 65092\n13059 70284\n10727 90993\n61437 65536\n12081 19137\n77626 92500\n20418 36968\n17111 94701\n29263 66721\n1012 81617\n6326 76058\n31799 39481\n88121 89370\n7943 78974\n21694 33296\n1261 48380\n32009 78120\n32762 94113\n45921 64619\n41953 95830\n6705 99757\n44042 47589\n64161 93075\n46919 82518\n21093 84159\n34483 44374\n22193 61688\n37742 49826\n46167 70831\n31526 33437\n52584 72988\n86069 99815\n37365 88768\n84089 93776\n41336 81372\n54530 56149\n7276 59577\n41957 59225\n7760 40605\n75633 92073\n3814 57301\n13840 43814\n43537 81508\n21891 86274\n3758 35604\n16953 85360\n9170 75225\n51 43974\n8503 15692\n24067 46286\n10753 63054\n32543 95267\n84639 86550\n1319 86548\n20844 69151\n67389 79547\n22369 37373\n41489 55348\n43029 83155\n85842 94392\n5548 32051\n3187 86804\n45125 84615\n5725 30629\n47798 63278\n74884 99954\n7376 99970\n45289 84954\n5033 18334\n2850 25598\n2180 84880\n1892 66182\n66425 79195\n77230 95277\n29837 47019\n43009 49138\n62691 63878\n77744 96384\n41184 68677\n37411 39961\n77875 97067\n10397 19618\n1876 58263\n46245 82119\n74895 82779\n27445 75829\n54114 80280\n51715 85911\n24829 36772\n3659 89613\n80172 80746\n77106 98416\n13288 84160\n3876 25030\n44509 66916\n8349 13738\n55522 56006\n1755 39857\n5782 81457\n719 40509\n17651 32880\n41957 53887\n24309 81538\n28047 60284\n49083 96707\n26894 59038\n40994 42493\n11350 83097\n2095 87421\n43475 50461\n31385 82953\n38493 46667\n6414 31829\n18512 91776\n25682 56659\n55798 57741\n48222 99417\n13529 78740\n61819 78805\n82051 93811\n48098 81091\n53342 87310\n16355 69676\n17293 86929\n73733 80966\n12322 19889\n4149 29299\n23930 56345\n53787 83646\n58566 94338\n13342 91712\n46198 71940\n74398 94898\n33807 90207\n6475 46188\n65732 94618\n70644 87602\n5712 50084\n2725 88558\n31768 96179\n11598 54138\n33748 53888\n94863 98738\n18349 66294\n37260 53585\n10314 56511\n8797 71955\n12524 23981\n41439 65381\n5772 51291\n26653 92848\n8602 59897\n28377 91154\n52354 60150\n53901 89062\n57631 95504\n31095 66732\n74931 85010\n13813 81513\n4580 80704\n5360 23076\n66514 99059\n43938 63439\n58798 60250\n479 6536\n11550 47069\n28246 52690\n7859 19625\n24469 96265\n10566 33231\n61094 69011\n50370 96666\n2130 14384\n42495 42508\n30332 46468\n72095 77148\n20123 34405\n32509 90966\n5225 53908\n19038 68446\n93608 96843\n9269 38428\n8182 54177\n34987 87558\n18005 38938\n8015 14460\n22667 39934\n34502 87446\n56527 72425\n9617 15764\n63246 81436\n6372 33797\n17604 51313\n68243 93390\n35249 73259\n29079 83401\n59110 98507\n39729 41351\n45372 66840\n23061 70705\n54205 84252\n17791 49787\n31105 67583\n41790 97859\n5702 41168\n8983 60088\n36 6947\n74299 87074\n5668 81424\n11067 89277\n41814 90203\n36572 96695\n7856 80323\n1750 30422\n52583 91047\n49111 49126\n21429 52255\n5885 59772\n1959 25569\n35874 61054\n60096 95319\n32561 61593\n54409 57803\n21813 28578\n42472 62083\n54934 67951\n12057 34324\n20883 66498\n20888 83178\n54389 55173\n11648 42979\n38124 92140\n56359 73014\n55898 98051\n59981 64012\n5172 87720\n18273 56072\n43796 72743\n18990 61392\n4294 86370\n21652 23682\n42611 79330\n40591 59664\n11403 36842\n1008 8759\n45059 88143\n22558 39569\n7055 93090\n73422 87567\n759 84787\n78015 94235\n7786 83361\n85382 89693\n25230 52376\n20774 80989\n15176 35077\n24329 97185\n65124 74621\n12245 65350\n14389 67232\n80664 80998\n25204 96844\n17150 40978\n43382 90183\n43122 66858\n15732 47638\n74657 96280\n85356 92821\n72573 79823\n20175 88348\n27653 50900\n19673 65570\n90497 91082\n63498 74932\n15824 94782\n55943 61103\n51963 63111\n11006 30387\n47564 79639\n4888 15528\n28228 79142\n37726 59612\n66477 88367\n44065 57198\n43320 69051\n14172 80508\n9597 69836\n49135 72231\n62967 99269\n51988 77112\n43175 82252\n19226 89531\n24152 26374\n55172 59252\n24356 93478\n19311 28407\n25812 77815\n14754 44399\n50493 68633\n21536 31482\n59687 94704\n15900 24688\n822 25316\n14453 19760\n34841 52832\n7727 98548\n32890 47745\n85689 88387\n6997 16491\n27816 91937\n23162 76667\n49599 90699\n80898 95901\n87347 91243\n46621 51720\n54117 81351\n57247 57849\n24404 39533\n20398 90004\n54076 75777\n45128 81913\n32351 55318\n70457 76659\n42838 81867\n14961 74917\n38420 45960\n29203 93140\n34609 62722\n57093 70814\n69952 73231\n84 42741\n26187 53194\n21304 27509\n39810 87320\n13722 22323\n11484 80383\n52909 92657\n50447 81430\n20060 68413\n44043 85653\n16906 36711\n18086 87864\n37270 65013\n26071 77789\n16889 21928\n6581 88166\n26073 87630\n37981 81975\n57424 84101\n20102 37381\n67709 69067\n2972 58692\n52779 83752\n5363 66084\n27199 59229\n56304 93332\n9768 96252\n4455 21020\n41878 73042\n61430 82349\n33561 76907\n5790 93511\n23053 89014\n30458 73652\n14457 57966\n50237 87418\n11528 18776\n52248 63793\n7633 68049\n39212 52104\n51728 77804\n505 85876\n21334 72633\n6761 97603\n365 62283\n36891 68468\n28844 89233\n25023 97186\n6776 96610\n28506 62401\n7303 52534\n23252 33358\n25222 80597\n43900 59941\n7981 75183\n42833 86325\n70441 99749\n29008 30778\n60448 63932\n32941 99674\n41481 82270\n32442 88271\n25742 42165\n73772 95528\n59187 71056\n3647 78597\n50771 90915\n41796 83654\n60824 65407\n13716 18128\n30141 56581\n45885 57656\n38786 89297\n8223 37627\n12887 73399\n72977 95276\n43465 82556\n50452 77844\n3915 25974\n10406 43667\n29982 81546\n72184 94760\n15700 69914\n43021 60280\n9926 50558\n87814 97514\n26976 96404\n8212 51673\n2595 87834\n48657 69039\n15210 45198\n73430 84324\n27209 40902\n8907 58939\n2790 57371\n78533 95218\n27418 33351\n12802 61611\n33493 40086\n17003 70347\n49056 54342\n35366 52197\n21111 81254\n1344 75762\n6918 34860\n59290 73688\n38901 46650\n14956 30283\n30936 48224\n40668 70444\n51200 96240\n23575 68938\n50786 89517\n5487 70581\n25156 31152\n5951 41881\n33338 96414\n11871 45877\n10080 76992\n51711 55513\n6686 54650\n10745 98277\n10250 64765\n36161 47732\n14294 65811\n72586 89946\n17737 65917\n524 40425\n84324 95944\n4738 8802\n281 80465\n76672 77951\n28995 31799\n52628 96296\n7918 76114\n32010 78887\n55954 92474\n27372 53687\n12949 32364\n30062 61076\n31169 51691\n50720 81702\n5744 28992\n21827 39681\n82183 95451\n11626 47663\n23754 53927\n24277 64833\n73844 86038\n3202 62941\n51381 61778\n17382 96808\n3554 27771\n4958 58481\n27797 64457\n19459 28881\n38241 61699\n7086 30111\n23966 70020\n7014 79524\n25033 70822\n24141 64177\n14837 81545\n78989 94289\n24774 44046\n53638 58983\n34896 42188\n50071 75553\n9365 92477\n20196 85041\n757 72276\n36776 87106\n36139 60896\n15812 84324\n71427 73644\n22438 77415\n16989 66004\n20427 81004\n55626 82337\n5818 75971\n34122 83209\n70627 91255\n57159 73981\n49243 56527\n91725 99092\n81656 94009\n55734 67605\n19307 86237\n16991 47343\n53831 80533\n6997 23450\n34456 74763\n8938 12087\n42987 95981\n18355 88221\n59080 76668\n644 41342\n5668 11999\n24290 97396\n22369 28874\n19661 95847\n43013 45937\n96076 98659\n8203 17966\n21402 92652\n60687 77155\n23384 39227\n78101 90237\n41517 91860\n58135 86673\n37975 69985\n16472 60836\n54714 59942\n55088 77786\n3434 73851\n25329 49339\n34109 97839\n28886 93264\n11090 70017\n18576 28326\n22477 29946\n7505 61627\n19980 70246\n14018 30280\n51792 82478\n57337 77887\n14021 52178\n52400 68631\n2406 29714\n30586 43338\n19367 90769\n6431 92405\n87197 94795\n14331 96680\n3251 13732\n42156 48181\n73522 97569\n930 65775\n24823 26758\n55164 81462\n14054 77504\n6766 88432\n83658 89925\n57011 70255\n25533 88861\n22936 26502\n14789 81554\n18589 95578\n23165 67153\n5141 18521\n57129 89197\n44940 83726\n57895 98382\n11332 16847\n48811 94517\n54218 96012\n28308 74331\n42635 48979\n34610 90081\n80077 96534\n35158 46291\n11640 49704\n15304 95423\n27320 95574\n9218 68855\n47543 67817\n10830 79908\n28952 97023\n40632 78097\n32658 78656\n4210 41428\n20510 54318\n52531 66151\n15495 39071\n9563 37927\n63230 79726\n16458 83754\n64841 66698\n90783 97373\n35146 50181\n24535 45354\n4468 58592\n43222 94111\n6079 93264\n32264 91339\n4155 59736\n5488 40312\n48360 56957\n1315 52409\n87854 89076\n29063 35155\n61756 92563\n20225 72244\n29573 66161\n20038 58549\n12243 30371\n32854 44104\n25330 95533\n27986 97229\n29796 65571\n17262 25169\n12022 53298\n54869 82776\n52203 90286\n60463 89881\n20087 82227\n73409 91401\n9842 73061\n22948 71728\n72722 74819\n5981 28359\n56251 69103\n32962 84351\n11422 64389\n8897 42036\n11579 41049\n23200 34288\n14960 80904\n89762 91833\n85842 87919\n19304 75651\n3244 29546\n52158 72681\n50386 72185\n80540 96271\n27046 88475\n22238 74875\n46509 99533\n82751 98795\n39483 41843\n70463 83235\n3625 47876\n9948 28702\n6559 52163\n43517 89491\n16828 94748\n6708 30852\n6647 61729\n25216 40564\n22051 77696\n11610 81551\n19090 96198\n75271 95340\n4483 26201\n8986 31142\n7747 32806\n41109 67786\n8442 35840\n39672 97775\n60123 79589\n39418 95072\n49304 95998\n19756 80626\n33253 62779\n40224 92388\n45533 97957\n35280 97620\n5508 97950\n24985 48553\n68436 90484\n13948 73927\n29634 57402\n39176 49072\n9617 71977\n33903 67906\n25441 77802\n3269 33944\n36232 78339\n12325 91153\n9755 43848\n17319 95298\n6630 85300\n8798 89239\n62912 91707\n55977 98108\n11415 99274\n15293 34179\n49667 88844\n86014 95248\n26820 99235\n14329 71639\n29765 88269\n52594 75422\n32858 98587\n64002 90717\n4489 21196\n6755 37871\n65524 70706\n8398 46791\n2710 23771\n62899 85532\n70731 86744\n19889 78807\n86391 90247\n20700 63467\n46746 79395\n1547 86366\n37588 86128\n47595 92378\n38377 84536\n37961 99226\n16882 50831\n5840 46905\n33851 77832\n21058 45970\n48761 53594\n86733 90560\n10955 69677\n5574 13774\n15947 72469\n17148 60717\n2526 16118\n9680 23028\n8408 69806\n47587 77639\n9525 61342\n8138 34273\n66439 85732\n41542 97586\n26052 79751\n12955 92016\n21924 96669\n77171 99284\n78805 79520\n22666 79573\n41013 84850\n26702 82466\n24758 84600\n25082 55281\n81487 95053\n49347 52846\n21219 46684\n22675 36899\n44186 95001\n36273 52774\n26279 72527\n12830 76233\n31115 99079\n28506 59522\n20660 56123\n71138 90150\n14731 22354\n67162 94570\n16630 95780\n13842 35047\n19931 48990\n10451 62491\n10469 44132\n31148 79201\n59193 71709\n11851 92491\n34206 85048\n73622 97158\n42862 73116\n19445 75026\n38246 95736\n26499 57359\n37935 64730\n35761 70749\n14905 55722\n38268 72987\n61986 83754\n43990 62184\n17204 79478\n21616 68705\n3390 23094\n35285 89453\n38300 47893\n64485 89595\n76648 96805\n55400 60836\n35487 86437\n3202 98657\n58947 84943\n22761 50859\n22178 23563\n2879 87514\n44290 85096\n50876 87304\n80154 97086\n16284 43847\n52355 59072\n20658 93609\n21516 48560\n37062 47843\n32773 60150\n63744 64617\n22736 54184\n75797 83400\n27590 48296\n66675 89203\n53591 99509\n44268 70878\n66655 68989\n18342 35914\n38665 59252\n46475 89178\n3073 42937\n35919 94492\n58961 77617\n13740 64183\n15886 71757\n22658 92279\n54849 58478\n2464 57415\n2160 17127\n37013 78397\n1586 49299\n17725 37346\n24584 80520\n7097 33129\n55143 96324\n36437 59952\n7317 26495\n50730 78990\n77872 89533\n7905 87557\n17595 51113\n14113 36906\n51954 81435\n40426 67123\n30615 97313\n90758 97118\n31749 69205\n1853 69515\n25847 48683\n17025 57728\n53353 81642\n9313 10387\n28196 70904\n610 99638\n22253 25996\n51217 70269\n9272 81134\n39080 97798\n5344 33755\n10874 84374\n25902 93007\n48907 83667\n14291 43653\n2960 19997\n21375 36644\n55877 71921\n2500 30042\n19378 22691\n8472 90943\n65271 85617\n2107 86155\n37791 48268\n26150 52577\n81353 96307\n94440 97546\n456 53498\n11877 97664\n35787 93872\n84770 86032\n24853 26608\n14806 67427\n46329 71623\n6598 39819\n1614 45841\n39269 80038\n49165 54249\n27417 69432\n31146 89098\n43862 66468\n51878 92196\n15488 64037\n20019 65685\n34179 51505\n84721 98138\n12061 75777\n33184 58884\n5957 86515\n42114 64679\n24210 97931\n33878 68870\n51405 58628\n68692 81376\n26612 86637\n50689 88983\n62861 75130\n8020 44065\n14192 45769\n7750 51963\n44685 58916\n248 34144\n6728 80757\n91887 93532\n5749 32945\n54535 93366\n15785 91015\n52878 93593\n59149 89325\n8861 44765\n70326 99140\n9196 21207\n47744 78078\n6633 91081\n53347 55476\n82174 90523\n21091 82804\n49975 67828\n14159 62586\n36941 42349\n67401 81433\n12635 60971\n37575 83035\n15754 26630\n15161 30666\n6081 11920\n84492 98201\n44885 72191\n44538 74595\n50912 52637\n832 41041\n27029 72882\n8825 9213\n18027 31981\n41957 57793\n50176 56431\n12008 47341\n27718 57868\n54196 94285\n23631 37039\n4876 8665\n2435 67997\n29516 32056\n3122 15982\n13486 34561\n5108 14231\n81083 84081\n3881 11079\n50010 68574\n67756 92977\n18049 86560\n10828 40525\n20830 43378\n39062 63949\n55315 57758\n74592 80163\n58965 96818\n43926 53415\n17451 35444\n26672 46783\n36049 75511\n27114 74713\n7499 67579\n47667 78237\n10479 91273\n35086 48119\n75193 88722\n36576 60529\n45005 96218\n52937 53245\n79495 93216\n68629 89763\n18044 76876\n7009 58977\n3560 12109\n59349 98152\n24854 89156\n68099 73797\n79836 85592\n49946 83761\n51795 90256\n10901 41133\n45295 52286\n31586 41800\n8359 14547\n32710 78028\n53867 77934\n16035 17488\n5415 99087\n49588 73881\n2573 11575\n21412 81102\n16672 30604\n16427 68503\n65248 91518\n62942 74491\n15997 67308\n11299 61177\n8993 82538\n52015 83213\n7032 95944\n53478 87308\n2558 10666\n12389 12550\n38519 72338\n53861 73776\n38167 57940\n2344 63371\n782 74984\n35109 78197\n34744 53305\n68475 76023\n32116 45459\n38190 60710\n8713 69230\n16259 55185\n45516 54784\n12328 91189\n27538 39576\n20101 57010\n7049 88811\n15756 30426\n7204 94638\n18700 40628\n22241 96182\n9429 30706\n39666 95369\n60703 71251\n64898 77208\n3385 79242\n36626 73831\n15591 89166\n11020 61758\n91086 93906\n40482 76676\n2222 34910\n33093 39288\n75960 84184\n52503 86478\n42512 67790\n22190 47908\n3767 77583\n27513 84865\n3747 35816\n36179 53569\n4850 88818\n32262 46002\n67356 88661\n44064 78291\n65981 74099\n5702 49475\n28361 60817\n8263 77775\n20415 92267\n19366 52116\n10268 62324\n18327 84186\n25939 96008\n81823 97451\n58353 80664\n47801 70888\n39208 75431\n11582 66199\n68363 95625\n45388 62968\n35617 94919\n82630 97027\n86962 87023\n56510 61586\n47398 73825\n3814 64225\n18509 22731\n27049 88168\n64575 91001\n12137 43203\n488 68346\n64081 74161\n59299 81899\n38644 92830\n49710 96441\n93500 93618\n278 35104\n23019 87253\n24209 39598\n25855 69772\n28877 79145\n83639 93641\n11344 32580\n15136 65386\n22946 25742\n56628 65162\n51162 70976\n29240 69432\n29219 74528\n617 89435\n16821 23783\n18783 76957\n56758 99827\n1345 12307\n48328 63800\n34772 63884\n23399 94641\n6217 42801\n57560 90926\n2662 50695\n47602 72256\n42879 84604\n9216 42491\n18603 27976\n4233 49702\n53579 73083\n1270 62887\n86552 87499\n7940 99621\n35386 42531\n2216 12687\n21515 85691\n60413 85822\n65857 74488\n56774 76671\n31873 78348\n3494 21925\n21941 90490\n33880 84067\n2790 76236\n52988 71618\n16074 68036\n30817 52916\n10992 17764\n48349 77751\n9570 12499\n2420 5418\n17699 28303\n84645 88347\n3785 28561\n42587 95509\n19183 35608\n20694 47482\n44508 97678\n40535 46314\n4270 77479\n6339 60586\n24067 43621\n36335 56975\n38440 41785\n86099 98450\n43427 99332\n839 3987\n1637 93354\n25295 92403\n82797 83945\n2976 73854\n50064 72996\n2894 4612\n24973 76904\n50797 86929\n61644 88539\n39567 72942\n63586 88915\n6753 92066\n5991 11839\n66571 76845\n3260 49907\n50653 56319\n2497 62517\n10643 89276\n4891 94852\n70389 95743\n1043 68652\n17771 94069\n94264 95556\n24267 96415\n14418 41566\n12445 25061\n53847 56995\n25433 65201\n84990 86511\n38777 39214\n27843 98693\n2063 45529\n22080 48355\n49351 75147\n53980 97912\n179 91747\n47189 91622\n26647 87187\n64547 80904\n10256 78868\n19441 48922\n56024 83105\n78292 85040\n6890 48416\n77578 85425\n84122 99910\n52023 73906\n14334 54072\n39599 61184\n26410 67816\n56687 74909\n767 81559\n42141 49735\n7561 92789\n58540 90843\n34079 63745\n39950 50933\n45902 84117\n53803 58164\n18087 60450\n25381 28650\n55745 64927\n87287 89575\n11436 96624\n29737 35674\n59345 72778\n67730 91762\n10317 36104\n8457 66617\n40279 68661\n8690 53205\n816 94891\n6102 31324\n48163 99657\n17477 38226\n14717 36958\n48275 72066\n7696 10813\n19426 27932\n1306 82003\n20242 94052\n21475 43271\n62308 74127\n31927 32109\n5701 60281\n36152 48518\n61622 95094\n3711 49022\n34176 39695\n21285 27071\n43073 43337\n26143 89423\n23890 54692\n26464 82912\n7969 62818\n65151 95952\n9601 75603\n75344 77084\n14149 42091\n55523 76752\n15953 85135\n17717 49779\n5997 33097\n16626 49386\n8919 83208\n54261 65153\n45417 68264\n21410 39661\n4780 36616\n15555 48550\n19058 63875\n51429 66953\n23550 67599\n21904 37380\n74427 87012\n67427 76944\n33798 74058\n73586 81471\n4118 89877\n13461 50084\n54322 70208\n61012 79977\n49146 87611\n8232 52131\n50493 62213\n6923 17269\n51756 79994\n36561 87322\n21314 36228\n22469 74677\n62457 70026\n8302 52179\n73814 79787\n10229 99542\n52755 64197\n6842 44780\n13048 16001\n2483 30609\n79471 99387\n39738 65253\n30964 76129\n12389 96238\n32475 42607\n106 90983\n45818 62915\n6328 68631\n29387 64811\n53521 66635\n21197 85831\n13498 47943\n67949 73009\n58138 90005\n3104 41397\n64314 93455\n31804 87578\n18869 41016\n80670 93723\n25453 68796\n7608 39621\n58418 67977\n29267 76171\n9054 75781\n59180 84749\n23541 30612\n25911 38320\n24859 24999\n35592 75383\n30205 56362\n9384 67029\n71641 78632\n11851 83476\n22808 31130\n80194 99807\n15373 35840\n3755 60676\n20848 75723\n48160 92310\n57377 62700\n26040 27854\n37736 78493\n20195 34191\n16039 28878\n4496 61785\n41722 63126\n41897 51825\n52054 87017\n57956 82269\n60839 90775\n23984 72464\n65845 93508\n36344 82510\n12465 47524\n29965 36082\n24897 85276\n29366 78534\n31570 43738\n37100 97428\n31629 37676\n47375 72430\n5154 56542\n70264 95217\n7002 9333\n25637 33302\n2072 60408\n65382 97205\n64851 93285\n2779 79682\n92903 98989\n26107 31512\n5602 49673\n80227 81434\n1424 33369\n72344 88490\n32769 79504\n72846 91388\n10990 87119\n28461 54681\n8058 73148\n59990 90426\n74794 80039\n13856 55619\n10697 72559\n7393 41225\n41251 52783\n8259 60813\n10250 22117\n34151 53003\n13095 89793\n91161 91707\n24901 77900\n13088 58802\n20135 49297\n17363 56108\n13349 45752\n50051 71499\n28360 38268\n51596 88295\n31000 42255\n42204 63311\n24659 38512\n62900 93816\n375 50635\n8428 85418\n40124 60907\n39575 79804\n39271 83662\n4101 87791\n17606 41842\n7286 24153\n1680 34806\n45699 55440\n68135 73423\n47864 83314\n43967 66855\n13205 91603\n50770 88650\n14336 45432\n330 7778\n17019 21722\n86132 90217\n32767 63995\n38494 90437\n41504 61615\n29453 41736\n57380 68447\n9492 19954\n89551 95496\n20358 60191\n6585 73617\n49912 86313\n39953 77940\n290 20808\n43734 65402\n82392 86495\n15834 35592\n15971 70310\n26775 46873\n10629 49290\n13623 67504\n13804 55468\n11487 71331\n31157 72984\n38478 92067\n55262 66452\n30862 90703\n28915 65931\n35920 66281\n17613 79146\n8173 72638\n16297 53172\n14611 23892\n28989 68811\n12744 33172\n10227 83807\n10370 14269\n39135 95851\n40318 48144\n46630 78452\n61956 70605\n200 55624\n16767 49607\n2621 21429\n54982 68032\n66590 83100\n68038 86362\n79589 99611\n30242 60139\n22718 55958\n13947 67463\n3668 50742\n12711 92685\n37854 74448\n20351 71850\n25242 93508\n7707 46909\n77536 87541\n43950 88127\n74050 98471\n47411 48333\n73741 83581\n13412 47388\n3148 10745\n56733 75377\n50652 60593\n36336 76149\n23523 58440\n10155 78785\n19574 35628\n22976 59080\n65194 84631\n47305 47909\n9068 38673\n53831 81427\n9292 47506\n46300 70372\n47224 77192\n41459 92343\n34142 78553\n75524 76707\n41555 72485\n51069 60637\n58129 99534\n56972 77836\n42667 72224\n32039 50089\n32077 36782\n51763 83604\n79020 90872\n19632 67606\n50194 56527\n17662 44019\n66025 77637\n7901 10684\n21612 67158\n21576 31896\n24962 44931\n76531 81064\n53482 93373\n24963 68982\n31926 68054\n24409 94952\n48792 83140\n30191 36067\n9009 83790\n40741 63890\n4280 82679\n14850 17460\n26909 90076\n1077 47572\n39460 64885\n2057 67446\n52866 92631\n25424 67948\n16858 94467\n62385 62822\n34617 92679\n6239 29728\n2182 3878\n6431 29284\n41266 67860\n21566 25590\n39663 63505\n1398 36444\n21339 49255\n12644 94524\n94913 99278\n65339 88586\n29048 78367\n55221 97475\n55067 64334\n24261 95920\n1994 43239\n4720 96923\n928 7762\n90451 98572\n84474 97008\n50018 60784\n24712 74951\n48718 65325\n61420 97204\n36358 75832\n1845 97969\n13467 29425\n13126 60590\n33503 60279\n16191 25382\n76492 90444\n51211 61339\n27071 37892\n49711 89797\n29322 48262\n11420 60356\n65893 94503\n58415 91824\n22079 46386\n79353 97208\n35771 74321\n28653 33090\n41927 65510\n17366 60207\n41577 73399\n4453 30032\n11807 58564\n9160 68133\n21018 86304\n28872 32468\n36259 87364\n10867 24879\n31438 72736\n31111 46952\n15158 65578\n18874 57405\n29733 35063\n23760 83360\n34881 97131\n1985 89949\n8798 26379\n17435 18456\n27261 90809\n8377 22273\n44830 64825\n67328 82643\n29372 77109\n67688 84572\n45586 66985\n51554 69341\n12948 92643\n1741 92812\n38039 92819\n1294 27709\n23603 55320\n1318 67636\n38040 69964\n31793 38886\n48688 51841\n98128 98981\n60925 91911\n49691 67390\n9562 85103\n13572 65352\n56554 64902\n7882 65329\n110 38406\n44468 88172\n9335 48546\n11889 93226\n20332 26332\n5194 97356\n71316 77690\n48703 95409\n11618 36144\n15357 96693\n35008 48810\n43859 51687\n34740 55660\n67536 96745\n40097 93929\n34836 97070\n25880 87679\n1845 66020\n15585 88707\n35893 62092\n26102 45529\n33853 94880\n59512 76143\n52018 68840\n70313 90022\n18029 93112\n75215 84296\n13698 72639\n31927 37278\n3023 34907\n34167 87278\n992 93290\n63306 81315\n30084 45498\n61246 89967\n43823 95835\n22161 46756\n20347 48683\n22496 77594\n17349 37556\n18379 58677\n91482 96528\n46984 89738\n66770 82653\n56976 75464\n35890 77084\n25554 83021\n32260 96038\n25365 36700\n75462 81265\n14443 33529\n17046 18389\n26982 69474\n33200 97930\n45836 93703\n9557 39806\n57910 93562\n12175 46650\n1714 67849\n13480 98376\n12270 42425\n11465 42626\n59513 71535\n45678 90266\n57564 73401\n28435 86229\n1377 99341\n76458 77337\n62189 98941\n84495 92086\n20937 69434\n1368 30976\n10791 70204\n28939 92764\n10369 13492\n9923 46679\n41330 79774\n76263 80279\n21895 66786\n20832 25466\n1101 6462\n2597 17946\n52511 84108\n12908 53306\n297 23432\n40748 66442\n33104 89840\n43903 44828\n8957 32502\n41037 46832\n35880 81658\n48820 98853\n62220 83044\n7040 55166\n18681 27447\n60612 86595\n20875 33768\n46036 93407\n27684 75706\n62049 69361\n32740 60877\n23629 58723\n9013 47061\n82147 95414\n22182 42032\n62844 64009\n66881 79107\n72365 96643\n37101 72959\n61783 75103\n19962 31714\n266 41930\n39605 96049\n29564 70122\n13654 40213\n10674 37323\n34874 74677\n22394 37990\n932 99203\n24086 74210\n23246 81132\n32004 69480\n49647 56970\n49109 61152\n26945 61158\n15991 79787\n33453 94682\n29192 95137\n45505 77014\n38771 71494\n6673 78975\n90368 97857\n341 93582\n76709 93510\n13893 57421\n25843 82496\n841 24268\n5809 62927\n41263 99838\n11462 86354\n12352 69188\n57877 86118\n34067 68541\n54241 72178\n10449 38206\n2458 86134\n19211 87674\n23716 81801\n27020 31264\n49933 78830\n8490 73883\n26865 42436\n10341 33166\n4328 47880\n19409 84959\n15521 48613\n17490 53532\n66759 70796\n49564 63989\n31277 77466\n5409 14787\n51318 81505\n62767 97773\n13672 52966\n7759 46161\n20494 25051\n6402 41061\n30909 91633\n58998 60742\n44720 48623\n41416 82988\n4936 8791\n15687 66001\n17108 76097\n61595 89937\n74547 83136\n21348 63662\n8628 22199\n43146 74121\n18934 71309\n28478 32236\n42164 68016\n41083 79873\n30292 76866\n26319 61836\n5481 27290\n43684 83180\n13242 79137\n6144 69500\n22647 45672\n35166 69583\n41538 66775\n26687 57142\n39889 52902\n51329 94186\n19553 82148\n22883 95990\n12782 79435\n30906 77377\n33052 53690\n37770 40542\n62279 68748\n11749 24616\n6148 67173\n31770 86827\n71481 92082\n21407 58648\n31211 39847\n34385 49397\n54557 56266\n2895 56640\n9754 81855\n40521 71480\n5615 76392\n20342 97764\n81494 86049\n19734 65986\n820 12875\n28943 52548\n10911 15427\n35010 45021\n15347 17075\n51822 68948\n980 64602\n27098 96699\n27075 79633\n3956 65967\n54260 78306\n27196 65087\n27544 79807\n71510 94423\n34166 67921\n41171 95413\n26425 87567\n58618 99741\n48165 90617\n27153 66114\n15810 80776\n13699 78248\n33893 35684\n24243 99882\n48238 59649\n18958 84768\n14518 87510\n71375 85692\n16131 95768\n89212 90247\n6879 86797\n23625 81772\n26621 74578\n15838 29736\n58687 89646\n61025 82629\n19259 49254\n3260 32747\n25056 76166\n63898 71443\n1914 15337\n63191 91479\n25991 83939\n22692 40286\n43477 76012\n27502 48196\n77042 79987\n70062 82693\n52157 55137\n38544 96688\n7472 89397\n51257 96480\n17812 19648\n82558 92218\n29670 71089\n46127 90814\n24322 36455\n27447 47431\n74336 93723\n45889 75479\n11 81873\n58916 59261\n27244 34822\n11502 43393\n51081 62481\n43856 74441\n72765 93193\n14264 74899\n23991 29509\n50035 69063\n33310 89340\n9553 37840\n11305 40291\n14748 46966\n29248 60993\n4683 15474\n51480 66755\n33168 58485\n2399 72013\n55583 56699\n46796 70228\n47136 92283\n50 93942\n21003 36550\n27550 40932\n13362 52773\n51208 79449\n42086 80221\n71328 97514\n15349 81250\n31019 90537\n444 35272\n54159 63649\n56022 71180\n19706 83201\n33604 68802\n12860 61810\n661 93856\n25309 78236\n20758 72626\n79977 85920\n33077 86636\n31385 69744\n13929 56822\n5595 63838\n10425 10869\n5818 96502\n39407 55024\n16584 49143\n84022 99407\n69918 98000\n5209 61403\n54139 92822\n46771 68534\n17800 45315\n38391 59983\n31572 79767\n71028 90971\n40647 42783\n88024 97564\n35060 37136\n15659 96790\n22616 78430\n32366 76247\n33982 56793\n21784 26218\n23887 83627\n7916 33660\n3829 69902\n67214 76663\n1008 92928\n89319 94305\n31090 99327\n13471 82505\n2894 15058\n72815 76074\n55689 88605\n78419 93777\n14501 77968\n27033 58005\n38579 55339\n12825 88752\n16000 73113\n49072 55410\n79760 87217\n14684 77125\n36535 70905\n37503 47111\n60790 65125\n38476 99530\n93823 98709\n16459 70699\n5519 99127\n80056 95776\n58369 69555\n51332 56736\n1059 94535\n14046 18959\n89115 90166\n20968 74184\n38950 68840\n21068 60726\n71276 86517\n38815 79082\n19741 86857\n8470 89646\n83591 93880\n63737 65987\n118 62597\n20324 37969\n86839 91354\n10101 10925\n19091 38481\n2702 76034\n30443 38821\n50393 94183\n28905 66297\n71881 93563\n15749 22380\n33069 91040\n7818 51122\n21609 51816\n4125 40994\n32918 38776\n31178 97540\n22505 94565\n72708 92460\n56898 87937\n23857 46631\n81649 87536\n28982 70437\n8704 41125\n12075 97144\n48580 87523\n69427 96006\n26126 52399\n14895 51776\n31629 63910\n49144 99836\n13171 76685\n15466 22788\n34340 81117\n25080 76333\n68311 74211\n21222 98645\n45124 58383\n55277 83199\n81265 98970\n24532 31166\n25871 86869\n33695 33826\n10831 78634\n36606 54529\n60289 85451\n46051 50858\n19426 28420\n45867 60726\n55939 74772\n68498 92263\n3045 28070\n14770 44753\n897 8525\n76572 91674\n1756 51416\n52289 93895\n13152 69164\n38955 88060\n5561 44745\n48080 80961\n12887 57029\n5114 10805\n10659 63290\n10823 89538\n8740 80575\n11391 90876\n55914 99803\n4164 38036\n58493 60245\n25930 47238\n58639 74638\n52409 66944\n12059 19455\n2406 5133\n27823 62668\n14621 52810\n65593 83316\n10027 16345\n30998 87649\n27052 61055\n39366 41616\n83224 96320\n67577 86404\n45164 98698\n27823 95473\n75157 80933\n45138 79119\n18710 61949\n9077 55477\n34044 87348\n33147 65006\n7351 45228\n3404 39634\n48483 87306\n51375 69108\n62178 62812\n95495 97310\n64850 88513\n3188 18711\n16340 23248\n789 35418\n1291 98863\n6570 48677\n12474 22450\n11652 66896\n14010 86834\n38022 43017\n4975 80378\n52550 68157\n71277 82993\n54190 66889\n15630 48359\n17027 96318\n61272 78759\n65833 99137\n48336 56284\n23200 35720\n63569 64561\n2468 74849\n24393 51084\n24810 68002\n66366 90831\n87673 95591\n3145 60065\n53840 73003\n31921 53488\n76777 79345\n8774 20408\n34472 69882\n24483 30106\n7583 8617\n69333 97220\n38423 82220\n38415 64127\n85823 86480\n42152 73535\n7947 24253\n2283 83434\n3018 30015\n33135 65018\n39179 65626\n46771 56910\n1951 50356\n71052 90079\n22654 35541\n75020 99664\n40761 58586\n12146 30863\n38009 63868\n50634 81155\n76056 93251\n1118 26904\n49957 62998\n62657 64519\n42989 98751\n21883 61809\n63110 96558\n6347 45851\n64900 77838\n59406 85154\n27429 32100\n92201 92389\n11610 67412\n24168 58443\n13848 91001\n63208 74321\n72506 80948\n8602 10344\n80135 98824\n10032 11773\n42684 74514\n89492 95130\n1532 78616\n31122 35562\n31235 72669\n35268 50089\n39490 74896\n3759 63416\n2172 82472\n91432 98409\n13588 27332\n10971 93245\n27815 97750\n36724 47584\n47597 72192\n6917 45460\n58589 69337\n15517 72204\n2814 32607\n23957 60035\n20798 57174\n72874 94040\n76523 86813\n37423 77835\n36762 45586\n19194 76335\n20192 76630\n41589 89360\n47644 56219\n25995 79844\n21602 37653\n24401 61296\n13195 74589\n14771 36748\n56386 79040\n27662 83970\n32114 85738\n65242 75456\n15071 42581\n5897 65949\n12685 13079\n33395 73592\n43917 63867\n17735 54220\n92507 96875\n40935 80131\n49007 89749\n10342 62374\n2160 11016\n13625 40168\n16341 42585\n11225 86672\n36095 43026\n76540 89092\n6581 20757\n14749 64997\n20998 69949\n64513 73699\n2575 75660\n26198 32774\n42337 83443\n49878 87613\n80057 90675\n61537 71899\n29566 98495\n58311 96663\n45742 60424\n36751 40963\n57914 68360\n2692 76055\n17121 22826\n46289 72150\n73190 92262\n52931 83336\n53049 62950\n20129 58579\n55734 63829\n60620 89061\n55050 97249\n2772 81359\n56330 89262\n17749 41688\n66041 92117\n20295 96654\n37274 73470\n56032 63132\n74580 74823\n12359 29435\n30897 44950\n2072 28059\n42355 78635\n46062 96561\n9669 36680\n5825 15952\n47183 75003\n12790 69625\n18556 83930\n69991 82387\n57561 70501\n29290 82740\n11970 65707\n64201 71824\n57356 90402\n44617 79568\n52707 64285\n9169 79081\n15046 31755\n34423 54988\n24051 78409\n40033 79134\n18047 66515\n8017 77460\n47101 88119\n15283 42554\n39197 89184\n63065 93904\n82995 99717\n33844 81298\n63186 68953\n72638 85626\n34843 57057\n94160 99334\n10757 57969\n4545 30301\n45886 91891\n63236 91061\n29031 64961\n71960 73338\n8563 9080\n47684 79401\n37608 67604\n50067 95677\n44062 77466\n32055 82722\n91964 99914\n31849 52999\n60080 93401\n46321 50774\n18142 20598\n3711 35119\n21720 31299\n43133 79873\n25997 66656\n5506 94695\n23990 75623\n39243 67727\n53029 79514\n99378 99959\n23418 55315\n40952 53353\n2796 67193\n51364 67159\n24284 61806\n12494 90272\n37209 72222\n52011 79552\n7464 9968\n12640 77242\n57058 91612\n78416 83207\n40895 41251\n41865 51031\n87452 88419\n45924 64444\n69840 88642\n13563 66781\n6436 70024\n4176 69024\n88452 97657\n33606 69457\n1689 88454\n38568 81732\n6972 81878\n17204 18871\n35373 37307\n31326 87713\n52771 92697\n22608 59278\n36569 72717\n65260 75432\n33843 95464\n58529 77153\n512 95243\n15340 56081\n24283 75844\n64391 65082\n19849 21118\n12483 23466\n85205 85431\n69215 87113\n19123 63037\n77601 87091\n16257 34485\n84550 86611\n10838 67824\n6311 13504\n30565 93135\n35639 82166\n21322 80221\n22435 36983\n19099 25864\n28259 75574\n88887 96434\n60212 66955\n56340 65732\n6179 20295\n13447 56028\n21679 47393\n39562 67569\n606 77766\n1460 39394\n49224 69641\n78125 96957\n93348 95311\n60251 77377\n13734 48141\n27674 97429\n45799 69653\n92693 97552\n23587 39894\n11232 86913\n31439 43631\n84057 92550\n84137 98979\n75800 95388\n28808 78424\n25172 94350\n14248 54201\n3088 87379\n45072 96291\n80064 95620\n16125 54498\n91254 97214\n23513 91277\n33688 96346\n2829 19591\n35319 53819\n15666 16885\n13015 47497\n44782 96199\n63871 76883\n6301 6337\n1402 98741\n17910 91057\n55543 73144\n44415 90798\n49347 49391\n8058 13046\n14342 91601\n60517 82630\n48836 99959\n31966 99065\n2307 44263\n12692 32274\n47369 86781\n30318 61196\n26965 32414\n64217 74192\n19608 91102\n41907 60093\n90560 94408\n18538 33162\n70904 80770\n3773 23360\n12824 84929\n11067 13849\n4463 66918\n3633 37193\n49377 64505\n16992 72054\n97560 99619\n31587 79721\n2435 18529\n30542 93942\n36653 97007\n64628 88174\n10519 11068\n20053 68934\n18705 20239\n3036 67576\n68653 70672\n16079 73985\n53034 80073\n44302 52249\n20409 78221\n14521 55839\n32866 57230\n18235 62838\n22094 79555\n54084 84758\n45446 47030\n56882 61071\n84000 86107\n32595 77571\n29914 52432\n18600 93387\n25075 34253\n14984 54855\n28843 62035\n56163 82011\n24105 87065\n32702 34544\n23711 37922\n43225 82256\n2022 18936\n39601 65164\n20274 79727\n52679 89601\n47181 81951\n7292 61220\n25672 41865\n42926 97598\n50452 96856\n66166 67429\n54332 77858\n8704 86115\n14130 26771\n6836 88255\n80174 93944\n17238 31735\n21383 97101\n26420 69049\n40571 44950\n16239 39061\n23176 71234\n38784 94040\n50922 57344\n16247 62320\n11602 56591\n32296 99696\n784 97982\n80068 90927\n33475 85712\n63849 75117\n39125 64204\n32715 96441\n17116 49485\n9514 33730\n28246 68643\n47331 75053\n31299 44234\n54331 68887\n77053 94562\n1690 29805\n38500 76116\n31464 58260\n39203 61561\n29629 53367\n64801 84962\n67760 86790\n11839 26973\n30653 42909\n54102 58629\n71179 99045\n83396 84470\n26655 94015\n54520 61818\n55152 95498\n16277 68148\n3962 31704\n36502 99817\n76423 95993\n9385 37840\n57444 84475\n55632 95967\n13644 19900\n30495 42378\n43097 65702\n19976 62893\n33188 43769\n51596 88812\n41511 96554\n9220 34886\n42869 63060\n55373 89991\n69607 74712\n59356 95363\n21037 38556\n54383 67834\n9320 46337\n9904 45609\n55663 94483\n15490 21499\n41865 55663\n9792 34699\n85742 94296\n67758 97731\n38609 89505\n13094 24453\n22784 76941\n11792 82064\n51886 66105\n41094 99092\n23481 28704\n2840 10369\n7392 10269\n27855 54832\n40094 81681\n29905 69940\n29174 36666\n23351 52018\n3928 16833\n6185 16771\n12418 90344\n65166 82861\n56121 89597\n31651 84590\n37891 86253\n28463 30928\n63342 81451\n5950 77266\n40809 56248\n24382 53833\n23999 82093\n29791 46754\n41204 95835\n4967 25707\n6472 62269\n22646 98430\n39213 65772\n60713 73854\n15616 66187\n1430 57627\n78423 83706\n17809 41407\n54853 78466\n54589 60870\n6186 68369\n24156 83124\n36717 67880\n53428 94787\n516 90473\n5609 56986\n12693 27536\n10677 81936\n86291 99155\n28237 35424\n9831 85694\n29461 80237\n26100 70843\n48853 74726\n33003 93158\n19378 25375\n31098 64301\n22167 50995\n29912 40738\n23674 72399\n56816 90120\n60448 79956\n28457 71628\n15802 47162\n9447 37229\n65770 76940\n18220 28973\n25940 74033\n4542 91714\n19665 51368\n43921 68445\n42838 92937\n35784 98630\n35112 80781\n38637 55036\n1067 36895\n22302 46482\n94734 95150\n20075 82642\n39677 59710\n29685 31043\n19218 56811\n14948 62065\n82479 89335\n59054 65288\n10728 33281\n49257 50350\n15887 85917\n69608 70289\n2744 22596\n12327 35373\n51866 81246\n18760 53483\n43117 53514\n45409 58395\n11886 88696\n45625 72789\n33881 49552\n164 59478\n66524 84594\n40025 85078\n6438 23957\n35643 92428\n56281 59010\n12776 38348\n30473 94917\n40074 71851\n8211 31336\n49121 82344\n50715 97524\n17392 43100\n74205 82053\n14777 28855\n14143 61794\n21943 31460\n13801 61529\n51500 53214\n46863 76783\n29178 83832\n53448 59366\n11378 80406\n207 96433\n13525 72413\n49681 63253\n73786 96050\n46954 87308\n57289 88378\n38799 88655\n8606 82001\n55665 85851\n5867 32373\n17358 39499\n23329 46789\n44162 55460\n16232 32751\n74616 90479\n79925 94309\n63944 85086\n19398 41118\n24593 67058\n8587 73715\n45227 72820\n55350 76955\n11596 40834\n2883 80646\n9146 48862\n27795 86123\n69431 83335\n8897 60392\n69697 72711\n31701 60664\n54188 55413\n82096 96269\n44235 54407\n63701 83344\n5420 31295\n15701 72884\n10214 90568\n25116 77403\n78610 92738\n81905 87055\n136 42551\n38232 73423\n49171 73801\n18987 59153\n66818 82117\n34664 99102\n90744 97091\n5874 56534\n26003 51591\n61074 75827\n94123 97441\n46934 81301\n1783 63765\n86051 86732\n63633 94347\n54056 97464\n13822 98034\n70730 78197\n40495 69308\n32446 84831\n11494 53592\n1748 97751\n33214 79219\n44822 45234\n30381 98468\n965 51798\n62878 64733\n8224 28678\n37054 41288\n3574 61471\n10732 86164\n77706 85934\n11288 36067\n9147 84431\n31185 59451\n28241 80854\n3879 58658\n17087 26183\n19381 51733\n18553 68786\n35766 55880\n88239 95294\n1294 51135\n20503 59201\n37344 89522\n6568 28422\n16121 98571\n63400 72795\n69014 80925\n41556 51638\n47547 92298\n29672 90417\n11392 32891\n7574 17232\n10429 40079\n22524 43697\n27921 54713\n60631 70316\n33408 70536\n18778 64179\n27695 48312\n4706 66823\n79250 85399\n36507 44154\n5339 93799\n40279 70077\n21808 90340\n4605 19014\n31810 37174\n29463 81059\n29390 68947\n6002 76623\n35563 62694\n48868 52177\n77798 97865\n11888 64874\n15705 48695\n54444 63045\n19774 90571\n12474 55339\n75295 77876\n14711 67101\n40989 94314\n3481 84401\n4249 73585\n60145 72678\n88824 95454\n52191 63933\n36142 67428\n85787 98388\n44776 76215\n63360 91184\n52344 62297\n34170 94269\n54395 65379\n68936 78884\n36813 77862\n19966 95696\n43018 77252\n20088 84444\n61680 67693\n83184 99202\n42886 64836\n53045 84341\n88142 99536\n13727 65409\n15839 77308\n5657 8744\n58333 79610\n63577 92903\n9158 32397\n24601 81730\n60174 70201\n39284 50731\n21191 35473\n40303 94193\n6286 90489\n26362 43454\n14529 47244\n32368 61010\n54563 96564\n53244 94907\n65894 81442\n51503 94092\n30587 68960\n10333 17658\n6001 55740\n9232 37594\n12428 81136\n359 61168\n1400 16623\n13355 71661\n5035 94205\n19207 29448\n63978 85169\n32430 38364\n32097 72350\n20035 91483\n25901 57137\n19423 42147\n78074 81172\n1364 74271\n54618 91758\n11642 24096\n8644 74337\n23422 34096\n61790 86250\n4194 76612\n53837 62979\n16824 74212\n35287 94288\n2325 97676\n43950 86382\n47397 76344\n33480 62212\n26743 89819\n39962 83076\n29463 70288\n50634 66072\n43971 62527\n79333 79833\n23179 31343\n4161 39860\n44701 67433\n16854 88241\n67605 80801\n56877 67079\n30284 39071\n38156 52604\n4184 59384\n41746 42501\n51957 62104\n21871 66865\n69124 78918\n4847 89910\n23231 39048\n13511 39744\n10211 44343\n10944 83382\n20309 79354\n78262 89914\n96692 96975\n6383 98842\n52754 65955\n57157 68874\n42838 86460\n20021 56002\n55026 86321\n4335 53296\n26923 86352\n25491 72468\n20390 34932\n35045 53779\n12469 94912\n59471 84862\n23985 60005\n22624 53119\n48702 61788\n56479 58776\n11187 22217\n18432 57796\n10345 60910\n67881 97875\n74097 89710\n31498 78897\n24015 66900\n22228 60253\n33439 89739\n96154 98099\n18126 56117\n19061 79398\n50733 65213\n905 11311\n59425 85937\n47767 82481\n8313 25005\n9660 33374\n55896 93385\n58071 74378\n5731 45236\n40721 79722\n6345 43443\n13543 50788\n71096 82077\n4287 18350\n35730 63449\n53758 59578\n59044 79781\n22169 74755\n55755 83455\n7494 31382\n9880 66263\n64737 89409\n4587 91131\n74477 74901\n52218 79560\n12565 50964\n40528 49779\n66531 93930\n22936 60307\n1635 96427\n65040 92625\n38437 81943\n7354 83940\n8863 38887\n47262 52713\n22321 56147\n28013 97133\n43422 75947\n48527 56665\n11724 62515\n46512 88049\n6320 44803\n7128 68116\n85101 87625\n1067 56016\n76324 97755\n18618 83632\n6274 32405\n91254 91973\n20185 49394\n35579 36894\n10235 17721\n25392 93237\n59599 99338\n13838 76090\n42332 68388\n7704 74954\n21320 87740\n28837 31738\n50789 89952\n19882 58331\n8557 90684\n311 6690\n43089 92255\n67662 86420\n12186 67294\n34090 91452\n20943 37579\n57749 80197\n61194 81515\n70544 86990\n10606 96166\n34886 54881\n5235 72904\n85402 94032\n26917 29351\n14363 92853\n32706 46245\n16380 86768\n32781 45132\n43467 79763\n30492 74386\n71341 78546\n49146 85039\n17604 80870\n32329 54655\n74909 97400\n505 74416\n60063 73698\n68089 84059\n72292 98658\n34930 70303\n71932 93719\n79400 80351\n50806 65722\n7124 83448\n64449 80062\n10154 61079\n33892 54731\n10750 62035\n5049 56536\n24111 40500\n9271 99402\n77335 97175\n27367 72135\n40479 80031\n53121 77291\n6864 73256\n2488 75370\n52252 60061\n27649 43602\n25322 49416\n27063 94426\n32717 67574\n46536 70050\n49016 80522\n21610 91925\n86967 92834\n3529 98769\n63889 84106\n49947 82607\n6976 36723\n28422 93997\n40555 87687\n33594 93323\n11868 64967\n13196 36326\n3397 64215\n21294 31178\n25039 77786\n29929 41889\n13621 67973\n67383 83120\n60046 87335\n2103 83876\n7100 12550\n38532 84053\n22355 74142\n4994 39851\n45999 89494\n34492 74233\n47389 52462\n70689 82158\n67300 85668\n31101 52050\n42692 85015\n64845 77124\n30368 72407\n80197 83892\n38110 87986\n69650 76598\n583 43204\n76574 83737\n9363 38954\n75687 92178\n418 51155\n44615 45080\n61702 81141\n21041 97368\n12013 96688\n4040 75505\n46712 83894\n22442 34890\n71755 79190\n30277 81231\n41159 68995\n24261 65836\n34682 38356\n70166 93026\n39632 49141\n7465 91494\n17759 56255\n55952 80984\n90987 99424\n84164 93040\n43532 70894\n59395 94113\n28593 38130\n17415 40135\n23358 49532\n12090 91220\n46794 91852\n14242 24154\n7613 10574\n18944 50343\n38795 52388\n4100 50912\n36006 47864\n92616 93667\n34064 96996\n42921 53465\n8370 65403\n13911 73936\n52355 64548\n58595 82894\n60956 82965\n34561 95926\n81109 96522\n65329 90259\n51062 84856\n51978 78269\n63997 76954\n68100 94113\n20561 54860\n6414 36553\n60715 94130\n83510 89468\n37280 77139\n38304 40649\n3616 31560\n48175 91652\n8463 60058\n52335 92226\n36393 64934\n3593 12619\n2896 59905\n33509 88580\n18430 63528\n34937 47150\n76766 86653\n22931 60175\n42660 43243\n36335 92364\n55047 79701\n27288 40593\n6179 66510\n80343 83761\n45917 86393\n3204 23872\n33935 60290\n40817 54983\n13471 31095\n62669 97097\n70608 85469\n35504 77748\n4302 21895\n3959 66700\n62138 65888\n78001 88413\n85515 99176\n52585 56870\n54808 71519\n11846 72862\n11079 72166\n84558 91825\n30655 87586\n86010 94510\n19058 27285\n38291 60925\n38872 39646\n29867 98394\n53273 83980\n1439 17144\n11789 72668\n22743 45870\n19730 22219\n20538 62510\n46480 66636\n16873 86812\n41318 90183\n35992 48280\n63037 95965\n3416 35447\n42022 68887\n26576 65133\n10156 18477\n73450 80435\n44604 89887\n75090 93311\n18795 51009\n46349 77409\n41629 89468\n11667 37859\n78896 98853\n21022 62133\n15001 68821\n64136 71082\n63387 66797\n42757 83911\n5201 37005\n29098 33506\n22786 31944\n51517 76209\n62839 66572\n90761 99925\n57604 64517\n1000 91667\n50490 98350\n30162 58116\n57705 98323\n56376 64759\n21642 26722\n45493 72554\n7646 72721\n31814 91891\n80729 83890\n815 45063\n10308 36939\n49404 79737\n55790 81033\n26057 26362\n7761 36551\n67842 97293\n18085 53543\n1080 87276\n25224 31951\n23245 44967\n41191 93545\n11018 68016\n73722 82771\n23196 58322\n3858 6288\n12096 58685\n10325 20776\n79638 95408\n16490 44901\n63253 79878\n68591 92977\n21726 29002\n35240 43325\n39727 54041\n18548 52693\n3547 30961\n30427 49279\n48215 59559\n5388 87269\n66571 82712\n6651 72728\n33606 82714\n25192 38706\n66138 99997\n41506 55491\n18434 88133\n56473 62471\n1119 91257\n82051 88872\n14981 26801\n43916 44725\n55672 81148\n53829 59238\n2887 37893\n90358 96742\n28072 51515\n55404 71155\n60602 83398\n26553 50556\n56346 91868\n40480 50963\n47668 52328\n8605 70090\n13618 67930\n20149 40528\n26069 84072\n44572 68739\n58472 98273\n41168 94419\n58152 83233\n25787 36149\n15019 17647\n65339 84359\n9961 74862\n56118 64982\n54346 68267\n49076 83373\n73453 86978\n15974 45555\n15797 61842\n88325 98015\n33691 79784\n9981 85490\n30890 37080\n32990 38928\n23965 55460\n45610 87862\n39919 66369\n62257 72504\n58584 88042\n64230 78569\n67333 82404\n3311 89480\n11812 68260\n22484 72835\n9051 64793\n15510 26674\n56208 87048\n4817 60754\n3222 30995\n11423 72689\n51548 52932\n16040 94399\n77487 90128\n65574 69420\n13456 21639\n26610 71163\n41799 64315\n57963 94181\n51399 72442\n72478 73873\n33563 72540\n63850 71516\n65529 92344\n1549 60329\n89507 93403\n5776 68798\n75617 81529\n52696 88433\n1841 93999\n20732 54771\n66521 73924\n58133 96444\n49446 72345\n52503 58520\n539 95806\n62669 80431\n22625 66192\n9643 72998\n5796 14032\n11457 78444\n18730 34911\n50279 92535\n45478 84422\n17315 50473\n19498 39982\n13502 72939\n65735 69407\n89280 94377\n11831 53304\n4540 55471\n19623 89643\n82752 89698\n74553 80691\n53127 92436\n6296 89928\n4303 92621\n39005 93905\n25817 82812\n20509 90673\n16806 54157\n74207 79574\n17886 26864\n50199 97132\n12153 53386\n10669 14121\n10085 46709\n16374 26363\n5630 23124\n20184 70422\n29086 85833\n32656 41767\n29674 64886\n75729 91440\n29403 96059\n77942 98758\n74650 75424\n18046 29103\n44444 81884\n31013 45326\n65369 77713\n49171 52080\n7861 73748\n50574 69267\n2205 3418\n1537 79526\n30736 39558\n42695 86012\n13814 69115\n63367 84785\n44059 57050\n2987 25323\n1 81388\n20339 48259\n20216 37477\n8693 45452\n19460 51274\n74600 88523\n70242 80814\n22720 62584\n2846 73477\n18235 88046\n3123 37758\n1048 74944\n16560 51610\n70704 79884\n17455 33647\n9483 58909\n3654 39815\n9494 15034\n14009 35861\n25876 60493\n19605 53742\n35962 55852\n15553 62409\n42362 72953\n47074 53177\n38603 58451\n92171 95697\n14879 65897\n33536 67675\n30942 42973\n21142 41268\n59505 90673\n1462 33805\n5252 68627\n43141 64339\n41813 49568\n2630 96005\n20235 86402\n5491 59744\n7955 14691\n947 51248\n36271 42046\n13686 48791\n13653 39969\n7530 16237\n67811 98929\n13354 54043\n62433 68766\n34985 39173\n75805 85095\n33782 69024\n5504 36547\n16303 91893\n23279 57385\n48582 71094\n42331 77338\n3875 44756\n67803 99868\n14324 28702\n65979 98894\n41435 79242\n32655 64915\n20747 77288\n45675 81217\n17576 84280\n43976 77135\n28183 90984\n29662 57868\n83801 93714\n13863 70979\n70816 84331\n28089 86553\n23789 94641\n31371 90330\n64723 90854\n56131 95269\n46088 78180\n72678 94852\n8581 83431\n30142 68386\n42772 57426\n8237 14220\n9845 57425\n50174 66805\n7607 16411\n27491 86578\n78351 79576\n19066 59522\n52747 68220\n16533 20803\n18267 42893\n5474 90842\n78329 93104\n81489 95879\n24623 91996\n55098 72427\n23495 63652\n46958 80822\n19384 85057\n64779 90676\n63030 66602\n71031 94596\n45036 96234\n5693 37503\n16842 56158\n86663 91615\n65192 66751\n64433 83791\n14276 29428\n57406 65070\n1780 63437\n40460 79543\n37339 66525\n5400 99062\n12864 40518\n2094 5847\n60847 78444\n15830 83963\n15479 93183\n30029 36968\n43239 78139\n12451 31304\n65913 77672\n35166 55700\n57828 94790\n11864 38328\n1499 13950\n69358 91418\n7240 73690\n22011 34147\n44849 51365\n49831 60621\n83070 95585\n69975 77506\n33745 48169\n25564 76574\n20710 77607\n73234 83340\n26564 98351\n1576 53036\n25027 33532\n1526 26701\n8089 66691\n1898 54545\n10493 56117\n29341 47699\n10634 81184\n18302 26113\n47871 53967\n32269 98060\n67909 85289\n56114 92736\n19924 41297\n45997 81842\n18609 86273\n45897 56268\n21185 39724\n33184 47326\n27736 35215\n40742 61581\n58969 61178\n26029 78033\n6195 22389\n17654 46354\n52710 77477\n84607 92946\n71106 84356\n49664 92403\n49103 97342\n2073 37430\n40976 74259\n62293 96728\n20874 83055\n2151 3163\n45530 64513\n26425 97549\n10067 49848\n40486 49359\n42426 94031\n57824 98337\n61154 62633\n20508 75659\n17861 20701\n11695 22719\n55993 86727\n17708 49524\n33967 84414\n8950 23499\n40786 51893\n49389 93975\n30480 67264\n17701 73988\n82822 88593\n52906 99781\n11833 68834\n8882 87792\n58821 85530\n30794 80590\n67571 75029\n29154 29972\n16950 26175\n3804 28650\n28375 53358\n63006 72239\n5427 62179\n645 55445\n26787 94882\n26488 49950\n27996 52897\n48846 92635\n51294 72345\n53142 89871\n2212 77467\n30428 57288\n11029 38561\n22379 36806\n28950 35046\n9640 40905\n21501 89315\n79328 97516\n52659 86041\n37723 77213\n60455 71346\n44946 93950\n70254 84892\n44710 52796\n7106 27258\n26948 70032\n8752 9343\n10463 36671\n49816 97146\n11647 42145\n53819 59344\n36557 92686\n48954 72146\n3314 69004\n3238 3864\n8613 53053\n41413 92898\n60390 87415\n55119 87813\n2134 37414\n22525 66800\n16358 90059\n22857 26352\n38053 89691\n44556 97366\n88620 96168\n43071 80136\n16841 58819\n20381 84740\n33678 70242\n20555 35134\n698 5359\n54046 57335\n50234 73795\n20401 97541\n21261 71375\n93778 96282\n21462 53775\n15025 31536\n75971 89946\n76300 83136\n56786 87197\n2971 37782\n1943 16968\n84363 98097\n62509 66224\n44355 65363\n1997 85566\n7654 71605\n39823 41939\n38799 56369\n40309 88351\n55709 82853\n59069 85065\n41122 45478\n19769 83712\n41103 45006\n34428 68777\n30906 76273\n401 70152\n28493 69814\n23068 37739\n2490 80378\n9911 95985\n62868 69240\n13952 39482\n3863 44199\n27565 50819\n4508 7437\n17537 71484\n33187 56077\n7400 9764\n30706 45277\n11247 33796\n40001 82865\n43302 58833\n4231 11299\n7059 83966\n52548 73128\n33018 77343\n4024 15790\n56681 85951\n8734 16490\n48479 73683\n62669 88674\n77710 88257\n16063 28042\n97545 99059\n73770 74019\n37495 90452\n2421 10677\n34038 35603\n13791 15935\n35901 73186\n67613 91708\n7122 60157\n88623 98838\n24749 36801\n40269 78811\n48423 83451\n25677 36786\n46781 83229\n23336 34078\n14759 57548\n47556 57720\n66959 91282\n5924 35744\n29295 89864\n22734 49972\n459 15139\n37172 97770\n15489 47302\n13440 87293\n42152 48161\n16917 34115\n35134 44753\n8128 66241\n33413 56266\n34502 62318\n47978 99722\n23751 68413\n82118 93345\n81091 85029\n65712 99758\n82943 89583\n1458 87760\n43793 97588\n17751 32682\n64018 98355\n35621 83864\n7268 7584\n43811 83287\n41201 49972\n9999 94394\n20765 42565\n24894 91945\n24965 79697\n47229 48917\n10036 31247\n10711 72292\n44519 51116\n48476 76438\n33225 68657\n6678 23835\n49938 57745\n21923 53043\n45950 48689\n9147 37980\n5209 56043\n9436 64438\n22390 48230\n74333 94207\n40870 81379\n47351 80710\n23916 45339\n42032 52461\n31050 84476\n522 12350\n3693 8466\n18515 91222\n7145 15058\n56314 78688\n48769 88879\n9977 11988\n87227 92007\n7294 52856\n76342 84302\n60931 68775\n8312 73873\n49437 58944\n29616 54243\n15541 35899\n12198 96107\n8132 87026\n37029 66273\n46173 47277\n17233 28624\n27647 85230\n5594 31664\n34046 99214\n50347 61925\n44160 72088\n9305 77159\n61672 77474\n10371 14949\n45012 99589\n43114 73556\n55166 84406\n789 99882\n14 25216\n1347 12654\n77835 80785\n21955 79424\n3905 6718\n6610 30574\n47715 52247\n1414 20835\n24626 64874\n490 86161\n46900 57787\n49420 60571\n30011 73714\n17069 71822\n10869 87557\n65258 98143\n12377 99358\n49154 86367\n62082 65200\n47771 48153\n23488 29077\n55447 55735\n17301 60413\n65601 87738\n2834 62983\n42825 49291\n52033 89096\n82033 83475\n88279 95222\n38581 50328\n7631 13926\n9447 71443\n12466 26375\n61874 80208\n17774 67258\n19316 69833\n4112 43817\n32200 51870\n6871 68748\n5835 16504\n11805 85745\n86624 90347\n24003 38374\n32965 91240\n48112 55088\n10531 23164\n4039 49660\n94461 95303\n4209 78841\n6998 50907\n63158 63169\n529 51182\n18784 50150\n22253 85881\n15842 25658\n6575 73403\n14126 21286\n18973 86274\n62105 95518\n46050 78622\n8421 83878\n41589 46529\n28518 43006\n10208 95596\n53254 61212\n24881 31704\n70292 92359\n83814 87015\n47242 51429\n16456 32635\n55537 87918\n11679 19945\n74451 91797\n20122 78855\n37181 78403\n4194 87044\n22241 41517\n6597 14345\n1685 83197\n33299 82561\n16609 50620\n45898 81921\n86643 93154\n53282 70533\n33063 34141\n20322 99782\n1256 66865\n86677 87961\n75723 89396\n35297 89233\n70451 81364\n11160 33236\n18386 35642\n33080 79333\n32585 50041\n28126 33415\n71959 89140\n2257 62722\n32648 71832\n54683 64556\n10175 97937\n90029 91163\n5913 27746\n10061 39030\n15166 98222\n73908 76860\n26446 57752\n18104 33875\n12121 40613\n8682 86096\n4085 25857\n16289 32200\n43259 51229\n46062 60866\n136 66233\n11701 43256\n7599 94187\n71551 71580\n13685 81856\n31374 84724\n28313 82100\n60861 75621\n57946 61143\n4211 97688\n31831 49730\n37688 94471\n35246 89323\n38741 59313\n38824 60500\n47441 93762\n82446 83661\n78627 98151\n4253 70730\n15112 20244\n11780 45334\n60302 82019\n35969 76428\n989 97483\n28684 47759\n57519 81763\n25183 69720\n56064 68109\n44872 89239\n73584 82842\n61452 68317\n29252 33072\n14786 98052\n63418 66008\n83230 87815\n28101 41276\n32713 63532\n90633 96695\n77454 85447\n3730 36207\n7465 10377\n51764 93820\n16709 59074\n12334 59833\n23029 84167\n19867 35493\n8653 33969\n10741 70266\n27798 47451\n22039 39078\n4315 59843\n19016 73824\n20998 63354\n33594 74873\n54538 85204\n61345 75065\n23645 67521\n5963 54365\n48432 89327\n816 60814\n31176 96324\n61633 77624\n13193 50949\n28738 56977\n31490 36213\n25779 71176\n52345 52429\n6960 84976\n67404 88594\n13515 54391\n19612 53500\n94809 99087\n8582 51327\n18005 95707\n19035 21426\n69397 75158\n30600 60387\n31505 84955\n5221 94678\n8578 71646\n40707 41962\n19520 65868\n54887 55445\n48733 49964\n58632 72154\n59962 94052\n17354 46708\n25293 73796\n9542 18946\n73279 95511\n38957 79234\n25738 30900\n12607 66800\n24068 77459\n29841 75338\n4511 54643\n13462 21584\n56543 64431\n84809 99433\n18224 93550\n16286 32390\n254 1467\n45686 56903\n27993 83469\n28926 35588\n31460 31576\n24112 87021\n88727 98348\n66474 79948\n4405 92374\n10038 30876\n36321 90540\n27435 94401\n21363 30635\n1887 12919\n43446 45361\n44389 64394\n29407 31648\n42174 50243\n61534 77080\n30713 45163\n11146 34887\n57070 62512\n49162 63319\n52454 61092\n22442 98072\n66927 88583\n10326 69780\n77522 79993\n30912 73745\n22104 96988\n46762 47718\n42493 58128\n14141 44576\n46449 57179\n12995 80551\n78762 85216\n19456 60332\n59376 77863\n17255 28025\n25951 83748\n5254 95375\n79656 83746\n70371 91884\n33978 68189\n18725 31073\n26195 43555\n13767 96743\n47479 89596\n8383 44153\n31966 44533\n32310 37195\n49097 77793\n52217 80466\n23498 39611\n64827 68899\n66420 84171\n50737 92367\n46417 86728\n12229 79865\n52565 73961\n2895 24978\n16804 90576\n9307 98596\n67305 80891\n31600 82272\n73680 98533\n97032 97184\n2005 41972\n65286 74127\n62306 79451\n71971 84574\n32175 84570\n68040 94908\n14144 29566\n72861 90734\n5546 67285\n52743 74662\n18291 83507\n30385 47814\n13421 79700\n98486 98927\n21310 24610\n23759 59845\n46519 81405\n33787 58331\n9206 73036\n13984 79198\n70351 85582\n34490 86137\n37901 44705\n7426 24814\n3911 38982\n31058 57665\n16839 30473\n35464 91591\n34897 85778\n28572 82006\n49987 52816\n20037 79325\n78765 94775\n8773 97354\n29502 78489\n76219 95824\n13375 25823\n45255 46808\n16102 54166\n37626 87696\n64894 80094\n39787 53203\n64076 84089\n34386 75983\n16053 24586\n22212 27049\n56137 90235\n13588 56347\n20624 37065\n70823 87602\n55241 72692\n50307 77133\n43119 86829\n15067 98835\n18645 82587\n34607 95122\n54480 87900\n52954 90031\n63243 86293\n45935 80877\n52292 78545\n17521 81525\n30342 47589\n5860 87072\n39523 92585\n59312 75900\n22656 53948\n1822 83274\n8754 70737\n22025 80058\n84837 91702\n15798 20408\n4365 56671\n11457 52581\n15624 39273\n35009 97797\n59481 95343\n45439 76809\n19437 69447\n39003 69339\n14605 34762\n40108 64531\n9228 22221\n4219 30850\n38814 86753\n38935 52079\n52853 90940\n11883 56111\n45732 91043\n3815 81165\n19261 38197\n5104 60558\n13496 84659\n37004 69564\n4247 94633\n11422 73492\n43423 45741\n45455 80952\n14369 93632\n9553 99306\n64812 93904\n40503 99720\n46642 81676\n62321 82906\n10055 94595\n58253 60976\n2899 62223\n10719 64454\n46206 95530\n40200 45232\n33751 49008\n26063 47332\n14669 65829\n49990 99135\n35844 47795\n48360 52198\n7205 49411\n40011 80249\n10029 59550\n55274 87614\n46641 92454\n10389 84637\n6904 61145\n45067 77904\n14022 68018\n62169 95106\n72901 76420\n40142 50918\n54436 94494\n48577 99666\n26085 73222\n24948 24968\n17253 34243\n10276 65492\n58994 98955\n77792 99048\n1230 28274\n47791 51459\n41763 64959\n37680 42596\n3329 37902\n25565 62578\n4766 49261\n40025 54610\n6541 12827\n612 31863\n14719 21946\n55018 58047\n27348 66817\n52655 89941\n88060 98378\n85798 86316\n3454 8781\n34932 40655\n50378 87220\n1467 88340\n76632 88586\n14717 24613\n56512 94824\n20090 42089\n4063 5241\n869 20862\n59718 94207\n4654 85230\n39229 64620\n13375 15128\n75434 91681\n54971 92682\n28944 63980\n71078 97362\n2423 8894\n6730 35519\n54374 64342\n62937 82774\n28130 48051\n69486 98627\n77301 87246\n13803 86054\n37555 95385\n87943 90333\n10566 14724\n36551 60672\n12614 86967\n7682 94190\n32847 62470\n65443 75475\n40697 60269\n24641 80751\n53027 75026\n18085 47284\n54500 98285\n10755 73724\n687 14721\n68658 86401\n18262 80995\n79903 84201\n14383 50009\n66809 84056\n13159 70972\n46002 52016\n26054 88083\n34389 46584\n52744 71135\n47650 95452\n3779 91997\n7785 74743\n14408 25915\n19216 24440\n36228 74020\n50362 86446\n19140 27061\n40419 80629\n42797 59382\n49926 77370\n46838 56037\n25207 42442\n72660 95761\n71458 76523\n50494 79459\n48159 84793\n9062 93364\n30578 96817\n24150 37597\n13756 65943\n8001 83629\n2442 5391\n27955 61697\n7349 46030\n2385 65655\n44147 90220\n31876 66956\n24560 94801\n26575 68538\n75697 76225\n64253 67134\n82408 87871\n36693 95748\n590 54115\n31743 94175\n54700 64676\n57548 83302\n32389 89228\n63245 81593\n36467 47203\n91062 93482\n42268 49414\n26011 79369\n21825 53719\n1235 84862\n10303 66844\n12049 85033\n12589 43545\n28238 98916\n27927 60508\n83354 92400\n19708 82125\n24559 25978\n37350 39532\n17725 35575\n67173 78998\n24361 71228\n1120 64012\n2610 57738\n68371 71854\n3907 62776\n77541 93301\n2571 28120\n20676 55982\n18155 81362\n15852 46795\n10 41746\n57730 91355\n4798 14177\n9452 38827\n68756 81851\n64293 89007\n78014 90948\n6995 41353\n91162 97184\n26090 61681\n26499 95885\n45821 94674\n24323 76318\n71600 75885\n28463 75785\n5073 24508\n14714 29751\n6029 85464\n12488 77687\n32169 53143\n84839 98753\n65616 81843\n91779 95655\n45589 96682\n58084 68322\n25549 84219\n45442 60766\n27998 45036\n5033 22793\n7313 89075\n5150 12288\n53104 81715\n28449 75881\n12966 31163\n10590 80288\n18871 38043\n1918 88385\n67903 76491\n75687 86666\n32048 93228\n32506 97984\n52093 77073\n5879 87854\n2710 15628\n13198 51195\n40810 78298\n45871 84969\n46341 76770\n76810 97835\n42542 58947\n13156 74321\n49952 95073\n38396 55370\n22702 93417\n29653 64019\n7482 91769\n69216 82689\n29147 98199\n23902 36317\n55625 92276\n35793 81925\n11398 39562\n4951 77061\n49087 73409\n77086 80925\n50043 54041\n9684 36205\n3325 53844\n2107 76325\n46767 98577\n72204 92471\n80149 92727\n33905 47919\n7302 33436\n28569 62306\n70615 88542\n36900 96873\n1418 13443\n11710 56831\n11174 66183\n30601 98745\n9019 35132\n31213 55539\n46666 73026\n9017 56000\n66976 97031\n8294 58921\n51867 67889\n19168 87028\n20857 57056\n89921 90352\n40296 63549\n42384 65988\n45572 60461\n35149 61407\n27278 42188\n54562 56866\n7289 46536\n31511 62593\n8064 14764\n69986 91116\n5010 9364\n6240 20489\n4214 44258\n56495 79162\n4254 78530\n17494 84392\n19251 67043\n20953 92234\n63512 66308\n46579 94258\n9475 50947\n11463 60782\n36211 86590\n61419 70217\n49134 94780\n12269 35977\n62574 70985\n6675 47186\n1061 9685\n82142 83265\n38586 83725\n27738 65608\n47237 98037\n39843 72841\n5652 81292\n49463 64901\n32627 47878\n9325 95207\n9051 93100\n54786 60034\n67440 84320\n37587 41603\n22661 70505\n41177 98010\n15292 16587\n44286 68117\n51349 61514\n51551 69588\n7673 45813\n66566 77623\n6462 31962\n14053 29692\n55296 81927\n9112 42785\n30346 77625\n15362 86741\n74560 88301\n12503 57449\n71024 76621\n94968 95213\n29741 71646\n31896 49014\n1731 16420\n26324 28326\n94520 95704\n51063 81379\n36431 77716\n47418 58119\n27913 44496\n9353 37501\n24045 71632\n48328 56784\n67811 97028\n810 6780\n26984 73891\n32914 48856\n80521 88454\n4401 24985\n9370 93916\n8118 43618\n60745 85390\n3512 64389\n46482 90733\n35659 40342\n45533 51086\n9869 18656\n787 49092\n60877 67981\n4868 39176\n59054 91194\n36869 51750\n772 55936\n32548 57910\n5704 89465\n29022 51529\n68636 91835\n41194 84981\n8 87800\n23503 54802\n22817 47079\n31787 63325\n33713 90514\n7846 54676\n47226 71776\n53740 68835\n33006 61495\n24325 71918\n9846 38469\n30337 77868\n3105 95749\n7489 98670\n11713 61580\n53453 61837\n5528 88079\n70428 86861\n14613 24343\n2866 52902\n3776 65140\n29948 93516\n78671 83139\n5878 40181\n32835 84443\n30931 93384\n64108 79297\n52755 72547\n4258 92879\n64216 82424\n9858 58005\n6492 68297\n91078 98353\n13296 22469\n52471 98702\n2598 83439\n49208 69939\n39366 75356\n5906 55219\n19754 67447\n53969 55595\n43358 65372\n19403 61079\n75611 93159\n4443 78706\n76378 91120\n22592 99186\n39296 72760\n14577 39758\n28557 54913\n4421 16747\n35766 63409\n84560 84655\n21370 43314\n15618 60254\n29161 57740\n20001 58110\n15461 82402\n14185 30708\n29327 51187\n29427 57185\n20078 89968\n15382 90657\n5383 28968\n7426 96291\n11279 60964\n51309 90405\n12218 43752\n75282 87169\n5613 63210\n50001 79317\n50952 99967\n46773 76733\n84935 86354\n7777 8803\n29055 31064\n52169 55604\n47901 84361\n40659 58410\n60633 88630\n51837 68008\n22902 74206\n16170 32505\n50805 51659\n6390 36216\n16235 48747\n68920 80478\n3157 40774\n61316 91715\n82526 99076\n985 74849\n58921 63687\n28047 43193\n49580 94574\n94539 95901\n13597 59972\n12364 78385\n60601 67102\n12938 94697\n1538 87885\n32891 99228\n11127 82371\n15884 48066\n1001 96573\n7327 21997\n65758 88529\n52417 87145\n5398 92489\n4348 48277\n51530 98212\n89910 99124\n91336 92731\n13092 81449\n14229 84146\n43238 72624\n5165 68481\n19131 95634\n65599 91159\n90503 94744\n33691 57006\n61802 69900\n49604 66651\n42347 74285\n52571 73313\n42704 85646\n32084 92400\n21062 46692\n62417 95565\n59681 76951\n44777 66071\n3116 25592\n15868 93680\n49981 96091\n4456 76140\n20585 22539\n58049 87008\n14134 48227\n31259 52484\n7322 63355\n69202 77878\n41509 63684\n8605 86246\n53779 77158\n19760 91112\n60824 65855\n25428 42882\n7775 67697\n2482 84110\n9466 46840\n59946 86356\n18280 79665\n2638 33252\n2923 6188\n16744 96947\n73718 89222\n353 2180\n43045 46262\n5915 35079\n11088 82045\n77007 83142\n32857 42754\n24144 55127\n13887 45264\n20889 85503\n55981 70312\n51617 73551\n5652 62217\n15146 32957\n53148 54851\n64499 86673\n15194 63260\n11585 96882\n8235 21234\n91673 99032\n26651 81311\n47429 70645\n11612 23572\n67831 77287\n45393 47833\n51952 86838\n90645 94838\n8574 69994\n29195 54752\n46979 48410\n21637 65168\n44622 71659\n26463 47284\n59184 97232\n31847 33581\n33999 99650\n1325 86200\n8680 45817\n28016 36350\n14699 23304\n8133 9663\n4066 14881\n26175 61303\n16147 60700\n53716 87952\n13620 34840\n42918 63142\n91503 94588\n9480 28290\n21883 90544\n58313 98841\n12955 18670\n65808 80988\n29756 86371\n41466 45024\n92417 93667\n32224 99178\n21326 21553\n10762 99929\n52041 74229\n39473 82533\n95163 97722\n70005 96898\n33369 68767\n32786 47700\n15832 86845\n85348 88738\n33441 51838\n24097 56241\n76958 82657\n37713 65565\n8495 45917\n34895 66580\n37075 92327\n35335 70094\n38642 43316\n63569 68467\n49020 95391\n6918 60877\n51314 81707\n18455 62184\n24013 37153\n47148 96200\n80271 87266\n34579 62204\n70819 76138\n39749 46063\n39887 84686\n25361 76952\n4336 82065\n13104 66358\n11169 88824\n40533 80966\n65756 96006\n38402 52646\n28860 90763\n38857 68364\n14794 63180\n74018 83043\n67706 76271\n44820 45005\n16839 18278\n31411 50453\n49531 51841\n6504 64423\n12322 54228\n35609 52330\n67483 82221\n87189 93841\n19303 78602\n43297 57057\n45519 46387\n35535 86790\n8107 72034\n55055 89310\n2921 71079\n14272 33067\n31759 57083\n43483 64141\n77944 99211\n76578 90923\n49309 94746\n34850 57017\n53542 88604\n29721 31063\n11727 58066\n20953 75868\n20 42221\n27264 97405\n20618 73946\n67305 73983\n21910 72470\n14667 89666\n7384 70176\n34569 98760\n29400 71948\n32518 88818\n42970 84871\n8282 40966\n67790 80415\n38666 96903\n6373 19575\n28605 85522\n27826 83956\n17842 60407\n44352 95340\n24734 65223\n89796 96630\n49042 65035\n19606 41992\n21012 76564\n50368 60818\n12266 88468\n1385 65266\n17323 23214\n68579 73108\n7874 96221\n37972 97483\n2908 5816\n839 70076\n7129 44567\n13629 75776\n41540 51487\n45316 65711\n2795 29735\n44724 65252\n89647 97645\n66041 80514\n11576 11946\n74417 88896\n7255 94077\n13583 25649\n30121 53356\n8943 37822\n56037 73667\n6780 82503\n1796 44852\n40102 87298\n4578 7192\n10563 71273\n72052 95198\n94749 97352\n38820 95979\n25278 82100\n29471 55719\n32168 79620\n4452 44627\n24348 66917\n4395 76453\n58989 94202\n32021 83093\n60600 72447\n44463 84814\n4640 41419\n52869 91371\n1635 52376\n17953 92664\n62472 78153\n8566 77215\n20013 44368\n38167 64779\n78176 95549\n607 18635\n63411 66879\n22878 74653\n40355 89356\n68766 92012\n19931 73205\n24950 50986\n55666 71287\n4707 65308\n53169 79672\n8221 74743\n4810 50492\n27168 97927\n6802 93573\n19282 50360\n632 52796\n58823 91095\n70980 98300\n26366 92715\n48740 50780\n10704 58519\n12815 84133\n11730 24322\n95900 97683\n52979 83857\n3546 54345\n19183 94873\n12144 18428\n13985 96658\n9582 16528\n5396 51223\n50360 61717\n49895 69584\n4946 49637\n34740 83344\n9690 96795\n4985 70983\n10493 93067\n43447 95525\n3646 78836\n15606 83993\n10464 22396\n49581 95893\n75268 85847\n78704 85392\n15831 39001\n6897 80920\n3900 42663\n28163 84242\n14541 44716\n9598 25249\n40969 55569\n6604 48248\n42769 89052\n94846 95455\n30637 85722\n42913 61023\n6702 8911\n34149 60535\n10854 60314\n18179 18875\n7563 13780\n27177 74209\n41090 79386\n2347 44174\n62301 66414\n18098 48730\n64144 74733\n7909 90908\n23727 58795\n47855 75047\n32646 90208\n40528 56928\n11067 96592\n24203 41532\n72481 84913\n64200 85939\n41332 90209\n75471 87233\n25323 52839\n25948 49722\n12752 70774\n23306 34227\n27069 50557\n22936 32142\n62453 70971\n44836 96112\n17955 84668\n27763 69323\n68004 95962\n34994 38582\n65140 98550\n44808 66967\n10543 21762\n1002 18677\n17454 78344\n17017 80020\n16490 63958\n40878 42903\n49227 70433\n29425 45418\n25232 92402\n14716 50029\n36683 58573\n65775 89928\n18787 26912\n28569 35200\n54813 78594\n61068 83435\n22162 47264\n59309 60256\n3926 94112\n42272 87015\n37017 65283\n16345 97527\n55937 57123\n36021 61764\n32338 78577\n16878 49272\n11157 88451\n22530 89696\n18973 26021\n18983 46622\n44138 79683\n30729 88292\n66297 76625\n7015 13623\n35106 77681\n20407 89314\n82318 83723\n39842 93085\n72964 97028\n20175 70402\n49236 99757\n39644 94284\n14572 96236\n9955 12003\n20499 44421\n70185 95003\n1723 92891\n16244 94073\n42758 69160\n63202 69505\n5617 20135\n41092 47443\n41202 49216\n26192 45765\n34769 44738\n3039 96095\n1162 7809\n10684 28204\n50645 89356\n213 83529\n27650 35871\n969 40852\n38308 44315\n41256 58363\n55807 78649\n57112 98930\n2296 24947\n81860 85315\n83376 85033\n38813 41698\n20046 51767\n63478 66156\n95381 98655\n49664 68153\n64885 79696\n17681 65430\n21506 54326\n4737 17718\n32372 54709\n16818 42466\n16657 48558\n47785 63865\n6726 90151\n25873 47864\n61224 64828\n29933 71728\n72866 78142\n55299 61281\n19637 25494\n446 57463\n62435 95210\n50584 84138\n29344 71893\n13777 66471\n29941 30635\n21893 96064\n10337 37570\n33660 72437\n24158 33637\n22792 88606\n72276 88448\n85403 93733\n72586 85287\n67494 76121\n71349 77432\n28386 57200\n95746 97049\n64862 94779\n20456 76932\n15387 94127\n11967 74734\n7454 93348\n45168 99259\n86420 91279\n71327 93083\n27046 43036\n29909 89239\n7975 83881\n8697 40032\n30915 80472\n75310 80408\n57477 68646\n5932 49946\n45629 74027\n42353 96870\n2713 78819\n11273 93452\n24033 39623\n41166 78556\n70598 91214\n47565 99885\n15994 94691\n54843 96461\n27565 99689\n56385 64654\n83859 93623\n22998 36121\n41376 60174\n78227 81472\n28069 70618\n47336 68011\n28963 64330\n41241 61671\n37926 90607\n63153 66985\n15136 53624\n7693 41457\n8553 43704\n3750 92265\n17769 37319\n33512 59382\n70925 99917\n49918 58485\n5291 10812\n27362 80145\n5964 87583\n35161 89536\n20951 88129\n90655 96327\n26207 66204\n54614 67932\n51649 98252\n3809 76085\n20707 92670\n19928 44576\n3289 34738\n12197 96175\n3986 7402\n34885 61998\n17676 39874\n5491 74673\n13683 58979\n30286 45626\n22158 48307\n71104 88028\n56530 67752\n15346 79502\n4247 83845\n2975 29004\n50998 72211\n9664 46246\n22938 62946\n6638 29923\n4087 51579\n15512 68472\n17536 66277\n24824 90777\n22001 64335\n5332 17074\n35972 51959\n10542 37049\n23312 89478\n45462 97641\n14680 96570\n21976 23923\n75966 77639\n20341 32013\n30838 87674\n81669 94845\n31750 89668\n31003 66420\n939 28901\n55975 68190\n14313 51054\n35258 88975\n25 17482\n17340 83167\n46665 97554\n63340 90841\n9670 92377\n14646 97754\n43298 98204\n20866 68431\n13766 43312\n18236 94801\n11063 46798\n28673 75672\n959 83483\n91015 93094\n3418 87214\n18237 87772\n61125 96682\n49346 91303\n14536 19349\n61503 72759\n2151 40933\n32794 64873\n62166 69119\n72103 77593\n56619 91575\n22445 32309\n91984 94973\n49845 57501\n76407 92973\n33514 83210\n18121 78825\n16217 82028\n23634 40202\n7401 29471\n49082 97020\n15028 45210\n30042 64011\n23906 62679\n75359 89968\n37179 79505\n66580 97125\n25647 53982\n81542 93211\n73141 98693\n44176 47513\n6880 95517\n13146 81658\n42750 67348\n7388 10622\n57133 59784\n50796 60943\n73769 73815\n35321 47331\n28261 62118\n863 34790\n24177 60422\n7745 10495\n1013 78575\n14880 98686\n53971 57841\n88569 99253\n45351 71824\n13847 29061\n6736 33334\n43776 66710\n79629 97554\n84321 86424\n11265 64119\n10580 67588\n34781 71738\n2668 25823\n37901 67671\n24595 92852\n16696 52547\n24780 32374\n3066 8500\n61775 85212\n14074 57375\n801 13321\n11725 62662\n68723 86642\n86005 94120\n12315 80373\n23447 70342\n40095 79838\n64537 86920\n8295 56730\n43675 50439\n22257 28046\n25905 93571\n32105 33557\n10837 69469\n35533 55725\n7264 74090\n42969 70044\n66555 97403\n85454 98832\n21479 68314\n57747 58139\n31410 46125\n45526 93569\n9557 78296\n3033 68493\n12876 98627\n22758 81419\n4908 30613\n6452 17788\n31852 70891\n25941 83836\n44970 76651\n26056 58758\n10512 95473\n7671 20323\n27412 66447\n12131 36188\n10816 40739\n41350 84682\n61128 73604\n22865 27785\n16555 19776\n46593 51026\n28375 47094\n23156 80556\n26809 82732\n48718 58805\n22831 78556\n34595 57788\n35635 79175\n30642 92792\n46764 64803\n55026 97912\n55565 70777\n64994 97305\n49614 51801\n14561 89857\n33164 59750\n22911 43293\n22810 43042\n64997 75716\n19034 81065\n69973 76338\n13688 97005\n163 40683\n41480 41999\n9929 14107\n32074 47957\n43449 83274\n50480 61214\n37825 46822\n12682 14433\n33169 59847\n5637 79141\n26353 79715\n1447 19754\n18848 42739\n3443 84256\n30039 32483\n38857 80262\n17724 57764\n34642 46758\n35664 95743\n1750 8578\n39533 59278\n6241 10959\n3585 75749\n15332 87412\n65231 73996\n42460 47843\n29688 31322\n67667 98766\n42476 61864\n4538 9874\n22966 55150\n18492 30252\n1389 27103\n21799 53769\n41826 55068\n22039 92442\n25208 77210\n58806 98065\n92062 95905\n44986 61752\n57373 70254\n4889 24777\n2034 63204\n26943 29474\n1625 24747\n39822 68844\n45919 89769\n6931 77035\n39873 77047\n20613 24105\n24577 78013\n29976 30445\n28976 51910\n9535 44048\n15069 22206\n47017 96675\n47500 62628\n25698 56400\n35766 87362\n48476 66426\n20551 34837\n3665 81682\n28954 68662\n35450 49727\n19733 88396\n78336 83462\n44689 92610\n9411 77836\n79573 81148\n43812 75721\n20038 80329\n3671 50282\n62014 79837\n26794 34997\n48086 98130\n14865 26254\n59351 88846\n41919 78673\n77573 85527\n52770 63074\n71653 88478\n26288 54164\n36961 50700\n29306 35898\n21584 68838\n37565 45699\n7656 27302\n19184 73657\n20850 92119\n16039 69511\n5301 26095\n38143 74805\n25746 46104\n48560 92877\n83255 97001\n34248 41378\n69558 74492\n41417 97077\n29259 59411\n13433 44007\n94338 99720\n1209 88910\n5913 89277\n51846 61165\n52318 77092\n57871 82616\n1868 26701\n47048 99246\n343 51533\n26091 50389\n70844 96989\n76755 92783\n21241 82757\n56336 89326\n11989 64940\n6834 44306\n72119 97033\n3618 90567\n1981 98816\n70003 74242\n2232 59800\n37458 67831\n24703 77160\n31484 48651\n12362 13756\n16092 76853\n48908 62254\n73460 88085\n12524 99696\n29377 76454\n25878 66015\n36738 48241\n40893 70367\n52088 68621\n24922 92856\n44729 87170\n58939 74957\n63608 73616\n22023 52827\n55719 83120\n27679 43372\n20509 29003\n54955 88929\n28390 92935\n57076 76776\n20302 91621\n395 79009\n88191 88784\n58641 71884\n31234 77005\n81827 98406\n20170 79130\n4564 47800\n29653 60598\n67102 96442\n13467 49848\n62512 97090\n24112 61883\n34163 42878\n26895 47499\n42663 89793\n12262 22469\n1251 58181\n22358 75278\n1627 49798\n2749 3971\n24274 99090\n38021 46955\n55524 85869\n54060 95762\n61959 69839\n19917 92779\n23118 59564\n52376 63903\n8703 97284\n94967 98472\n4072 52135\n6018 37038\n21055 89811\n27107 44093\n38927 78031\n8958 19246\n45340 52879\n2421 34778\n5460 60397\n52120 74228\n32038 33184\n43814 49747\n41840 65888\n25671 29890\n11242 91530\n4459 22123\n10884 59749\n63788 77917\n50254 53549\n16529 26796\n3561 92724\n66684 86934\n31904 83579\n13784 21567\n55557 58850\n13079 16444\n8936 86084\n54571 75190\n5959 30605\n1945 69304\n1703 49148\n1903 40245\n13765 75425\n40344 66376\n91621 97131\n23264 57367\n31048 44089\n10244 96606\n46122 93637\n11787 55585\n37123 93964\n87421 89909\n47351 53750\n10778 20887\n26312 62152\n18096 92116\n17748 63066\n13636 45257\n60427 62984\n74050 78182\n22503 62231\n5848 41170\n5124 93104\n30760 81522\n32133 70241\n19825 95058\n10428 81329\n7661 46670\n66672 85951\n73851 94594\n11647 60857\n28922 63069\n15616 43765\n38861 82655\n22320 89222\n8832 34968\n13975 87287\n5699 72460\n27476 29046\n47858 78389\n1496 88293\n74071 89229\n57757 73113\n27051 54170\n41740 90067\n28239 76370\n59093 98313\n18256 83385\n5455 68421\n24434 54277\n67929 90056\n5884 40655\n52807 68553\n1705 3241\n43388 46758\n17259 25394\n25073 63582\n1098 85726\n5365 72504\n4173 21459\n39393 71874\n34116 54156\n30088 46801\n49178 77673\n478 43274\n24738 84942\n37205 47424\n67512 95622\n1220 49578\n86536 99221\n22186 94460\n39229 49983\n3779 86981\n10389 85218\n26738 70973\n27859 81272\n12320 52978\n34152 80340\n47761 93212\n50894 92386\n14822 44275\n52625 88235\n46147 48935\n48644 72319\n10173 30638\n25624 39475\n36008 59041\n32060 80089\n14211 73322\n81883 84345\n18695 80869\n35034 68690\n3776 88569\n55114 95523\n50914 97248\n21084 49915\n53950 84881\n7855 74239\n2676 28589\n15764 86282\n52553 91710\n15197 78938\n57781 91653\n56857 89078\n1210 58398\n8254 65649\n40070 80075\n659 9362\n8612 61923\n91118 93535\n74162 87516\n26309 54070\n16417 89044\n52380 97404\n14188 91827\n559 67807\n38180 87988\n90383 99606\n51123 55281\n3710 15010\n47490 76279\n14316 44951\n12361 76443\n27466 48390\n68497 74369\n63692 98144\n27970 72329\n18735 74764\n56498 73361\n16149 67812\n60692 83966\n51030 74719\n5617 58407\n13797 21153\n83387 96230\n26963 49242\n49609 55596\n38700 74857\n57796 73905\n3577 40312\n15361 42533\n5089 88020\n77101 82025\n45925 87921\n53245 85048\n17774 99827\n49048 82018\n88517 95683\n24308 24862\n8388 38078\n12146 25144\n8590 23445\n21966 61798\n7846 22422\n71636 84072\n20977 57231\n51887 92139\n47430 76668\n6180 9768\n10551 12781\n31359 61423\n20086 20271\n35747 85639\n10059 70230\n47250 99223\n566 58697\n41421 86673\n10409 45152\n30773 52107\n18189 57230\n50602 58428\n31273 76387\n53634 53827\n57825 86189\n59733 86946\n4488 57876\n9801 12630\n60909 77468\n45342 61591\n15150 80488\n26675 88296\n50424 50496\n29212 41651\n39572 42606\n31048 51733\n26513 79204\n14176 97076\n36798 90078\n11160 44978\n32261 76887\n6395 75063\n2260 39925\n12146 19949\n25251 65174\n75572 98427\n34340 41134\n29553 34902\n33445 66108\n24604 86220\n2512 14665\n5308 71515\n13285 86471\n31979 91616\n21239 41872\n68936 94006\n72095 82444\n8970 14302\n7082 42528\n18676 25479\n34411 44242\n16614 48154\n22556 90301\n30724 88771\n9099 42268\n2937 83383\n2572 2767\n33478 54321\n8044 36914\n30432 41218\n54926 68822\n14668 89074\n1244 26615\n63619 82978\n66577 93608\n3123 28622\n11143 79034\n3881 77981\n51030 80432\n13895 25745\n79372 86179\n51931 82582\n54519 89785\n16449 25669\n71750 95847\n19153 68148\n13666 89802\n1306 32974\n60826 95791\n15383 54160\n22356 61354\n44778 68549\n67434 97058\n11911 17706\n31751 53672\n14224 65595\n10391 84247\n66448 85074\n48607 87192\n30381 43566\n920 60604\n44560 49298\n29599 96477\n18249 18409\n11502 45202\n10059 69990\n57542 92128\n47952 99840\n14131 97294\n45851 71451\n23556 57144\n14532 69120\n9334 67832\n46331 65081\n27247 28346\n18378 50095\n39234 68549\n138 14922\n9913 56404\n12954 47397\n26689 54740\n62432 77885\n16788 39965\n17842 38680\n25520 52663\n33383 37982\n25595 82731\n70851 98489\n1700 48230\n36290 76289\n43834 71476\n75788 96170\n57130 97512\n24558 45005\n53857 95475\n17167 35684\n37080 85401\n24480 47872\n30750 53713\n40761 50761\n68813 86482\n24933 36977\n27044 55408\n497 80265\n19551 24880\n60633 78254\n21655 35877\n23666 83512\n50969 60097\n20831 57359\n58959 77419\n37503 77097\n78375 84360\n22880 50683\n77079 92137\n36334 53796\n21068 26573\n41997 51102\n31301 36974\n68480 71285\n29910 96109\n45085 89990\n22215 28806\n15073 97416\n32290 76672\n66837 83026\n47486 83139\n14091 30974\n10602 38376\n45950 98199\n28226 73974\n38729 51005\n90301 92899\n11704 51682\n25599 31336\n35916 54063\n7264 75728\n2215 79577\n95663 96302\n28371 58551\n2168 34989\n20279 33819\n55751 96090\n96094 96632\n22308 98802\n1740 85962\n62519 81177\n18561 36383\n44168 69596\n10157 71510\n13179 59018\n6002 75236\n40527 96483\n34209 87172\n50214 59982\n86162 91555\n81094 81807\n55684 57182\n37226 86334\n51790 66967\n29571 77820\n11460 33292\n12272 51597\n76725 92106\n65747 68558\n72956 81516\n43827 47830\n1964 96955\n26797 69655\n6102 28928\n71082 82320\n13991 16943\n40606 50620\n4198 57410\n20433 41052\n47205 76552\n25381 96057\n6589 84354\n75523 88691\n15250 99569\n9346 17519\n56398 57654\n83010 95089\n38755 82263\n4575 62949\n22701 92519\n54808 90509\n95453 99539\n51197 84684\n57045 83772\n27168 45139\n33861 98823\n24217 55911\n2833 5435\n2352 15015\n2447 10871\n146 34095\n200 12562\n56252 83173\n14245 15048\n44147 51051\n56233 71572\n35661 83584\n22686 30846\n1394 30219\n50926 62175\n2996 86160\n17339 59195\n91852 98331\n27 33304\n69311 93564\n34219 42856\n16822 63046\n71958 88876\n56965 98194\n43755 66586\n35165 58025\n55452 89958\n62504 80918\n56862 65235\n46233 86995\n27438 41691\n61648 88342\n27061 60148\n36392 97672\n22412 87062\n23116 28079\n38955 62733\n50393 52514\n37909 99071\n24308 72890\n21485 63612\n11852 89175\n1824 21353\n9425 46171\n76559 92920\n7640 95474\n56659 93515\n23091 61301\n5155 18486\n16961 30028\n469 32151\n42269 98503\n20215 51537\n62052 82806\n68329 88082\n65894 70958\n28910 79659\n14950 71943\n16400 79773\n29748 80452\n10994 95674\n36277 78395\n49933 67284\n49483 52122\n26114 43482\n68210 93347\n12498 71769\n807 9860\n54034 69683\n41177 88575\n38110 46603\n843 24701\n2028 57571\n10832 51067\n21239 85185\n1433 46841\n15683 85420\n62428 82164\n26866 64235\n34370 43639\n12686 39466\n55233 87721\n29824 32933\n16106 95193\n26487 29195\n16633 44244\n48704 48816\n34996 58608\n9028 27022\n32977 37561\n54336 65592\n52905 93046\n40714 55251\n11541 79743\n47722 73614\n32344 57504\n60805 90279\n9096 28446\n24878 72227\n49172 66630\n47696 98992\n24532 59261\n2174 34045\n4405 27299\n24904 75741\n78924 86043\n47839 98402\n61850 81185\n43099 73772\n69133 80328\n68746 91595\n55563 88822\n60077 95897\n5379 42876\n37779 76448\n16169 83355\n40767 97305\n81743 83509\n18987 43120\n33466 75197\n35610 82289\n36151 36505\n6093 62515\n13794 13815\n40644 44951\n37626 50930\n64260 72572\n10523 91819\n21687 80793\n41472 57484\n38710 94382\n14111 73408\n15525 95055\n34176 78473\n50495 98283\n4619 5563\n41444 55086\n59925 81344\n8394 55450\n13086 89700\n39120 79368\n22268 28338\n46760 69169\n61281 89570\n17618 85612\n72590 80708\n44395 74224\n6078 97594\n38509 55109\n68949 85048\n64148 93023\n30638 97204\n25250 87508\n20285 93200\n94208 96474\n21337 35152\n59498 72790\n68694 79782\n8294 94874\n38015 93126\n13570 85973\n28488 44693\n14371 83650\n8456 13621\n62895 69119\n18651 42668\n42563 93627\n67571 91747\n18940 70474\n14085 43501\n65666 72051\n8574 67870\n2449 78268\n17111 73688\n5612 98005\n13828 25097\n36040 36207\n3716 45509\n43068 88738\n4461 34887\n61699 97955\n9560 73560\n31734 72112\n50519 68280\n12526 51520\n63562 89175\n49359 70127\n59461 97575\n11235 51468\n6304 71797\n34777 69934\n45285 94631\n39165 42318\n34742 70766\n16641 22754\n12043 67026\n11522 78356\n26051 42534\n5187 16476\n28984 91087\n42556 90199\n34625 80021\n45922 64853\n11878 80476\n22586 85958\n26578 59713\n46404 77948\n57988 91521\n53294 84954\n62727 82187\n82020 87597\n50794 77000\n11048 53770\n56973 82763\n29077 73425\n11175 18678\n4021 66695\n20285 83724\n16512 34959\n80671 99833\n19155 63071\n16728 58041\n9440 16859\n17195 51033\n6140 86287\n6900 29760\n8562 41007\n28052 39239\n24916 94166\n10411 73987\n15775 94427\n23245 76916\n17873 95289\n77746 86991\n28161 30077\n55044 75175\n12350 48922\n55700 58351\n15836 76279\n1708 43824\n50281 92868\n67046 91976\n41980 92426\n19834 82091\n75884 90085\n35693 50223\n28872 87572\n7397 89536\n67354 83931\n36548 74146\n39861 95712\n71336 73875\n32591 92782\n69334 82531\n65094 76056\n25916 76916\n41234 61023\n48041 58712\n56052 84637\n38238 97256\n16333 16571\n30369 84370\n12848 51864\n5908 98388\n52619 67101\n53210 78796\n9956 91986\n1007 28971\n41187 62799\n3426 43535\n54178 96727\n17690 28995\n3436 21707\n18188 54157\n10775 82540\n51903 90452\n32242 73925\n48012 66777\n31491 61803\n4918 40136\n87573 92037\n30054 44175\n37 30198\n25486 81498\n30737 99605\n28022 57407\n73582 88233\n28368 56942\n26075 68778\n27015 68899\n31845 36913\n17805 81912\n42231 70655\n6104 48130\n36037 98891\n55077 63842\n3780 61226\n33258 36564\n23966 30391\n14454 49504\n7182 54532\n42551 91891\n38533 87519\n42933 59061\n38411 90397\n23320 91441\n24636 84781\n42265 43499\n55352 57905\n60765 88299\n24718 26311\n95602 96735\n89573 96590\n57501 73499\n7534 80201\n18536 94077\n12141 83349\n47299 76853\n52370 61639\n73741 84426\n23079 50926\n7216 28084\n7955 77637\n18579 61493\n23685 48309\n21209 70516\n32186 98153\n28676 73081\n1676 38783\n23538 47641\n95137 96006\n3234 13907\n3193 32076\n41705 87441\n15014 29379\n9366 97597\n33642 63596\n60972 97736\n65114 81096\n70285 86411\n23341 52471\n50108 92994\n69031 81996\n43997 75106\n36753 82960\n7924 80373\n40095 53153\n37599 57927\n79400 92972\n17643 24805\n16269 30453\n10347 96924\n14576 46992\n33342 89808\n1899 10376\n8303 74132\n5449 44817\n18137 76288\n22008 57189\n10672 59232\n84367 98774\n8205 73432\n13074 82966\n74795 79834\n1069 84211\n2047 11591\n1262 49843\n5193 95592\n2584 20778\n32484 72231\n58802 61919\n41907 43732\n4429 59735\n4313 95279\n77585 97248\n45503 84234\n59383 71072\n37602 40636\n25142 38419\n23006 98429\n5216 90282\n16316 50887\n30026 32876\n20084 96006\n41109 93029\n37244 88935\n16358 45059\n25096 26858\n7422 77610\n65004 73219\n18408 99403\n82625 88333\n6561 65305\n45555 98738\n67008 94905\n80821 96243\n80703 95953\n42214 90592\n11191 65691\n25893 84805\n19354 88969\n36950 67647\n1961 52612\n41690 73245\n64632 85583\n1511 59730\n30010 80253\n46969 90286\n46743 49994\n60064 85411\n26877 83343\n60358 99618\n34141 88130\n84746 94915\n32438 90706\n213 63338\n11774 31483\n14590 82365\n5074 92390\n57003 92879\n5368 16238\n38355 98403\n61857 94087\n59241 70187\n558 33261\n33427 34987\n27868 96357\n23492 47707\n4296 48974\n1452 30812\n7494 87162\n59629 87056\n40701 55957\n44249 60181\n20857 44495\n155 13157\n59295 76362\n15317 30547\n541 27799\n37610 67879\n63705 90326\n41424 44426\n5463 56276\n4364 64106\n81187 95030\n10644 23736\n31372 53669\n13715 46814\n5737 12518\n27748 73224\n78703 97309\n17345 23593\n31992 36802\n57126 70517\n27674 66971\n8047 49943\n24714 41122\n28464 94044\n52518 98403\n45313 98777\n11972 63970\n36261 42858\n19059 28057\n31018 94247\n11632 35962\n28320 58528\n53364 90125\n33559 42997\n47219 48613\n10361 43051\n16301 31226\n33780 60392\n36276 83721\n64307 77268\n11734 18809\n6433 27004\n27661 99171\n45554 51653\n43552 98951\n60677 66858\n18262 96125\n59480 60156\n54648 98659\n24060 50838\n10814 55679\n29950 73374\n79548 98704\n35880 87936\n63660 68790\n7818 56603\n41570 94108\n66770 69136\n20520 40830\n66019 67680\n29780 50927\n41530 50535\n12736 84842\n80808 92834\n61944 69977\n9992 49216\n2159 59519\n94846 97118\n56270 81098\n69808 90782\n43238 77901\n86222 97574\n20846 20983\n62476 94975\n63546 70874\n18417 59896\n57046 59846\n27862 55679\n80463 87568\n16792 86496\n40037 78434\n44645 56294\n1593 8981\n11317 57059\n5752 59616\n10947 43125\n2150 63234\n91849 95046\n75169 91818\n39964 62572\n74167 79168\n5675 93449\n91822 95333\n56493 93832\n34559 42080\n81135 87357\n60313 75404\n3969 67917\n3333 44617\n30338 65192\n19602 67200\n10019 77535\n11727 33756\n82192 98912\n7551 68142\n75602 84455\n24663 36657\n9029 74589\n35918 67542\n18180 46054\n4565 90116\n4987 11547\n40700 70079\n25796 39402\n58028 69258\n33882 40932\n29075 74073\n3692 70312\n64000 95915\n33108 51502\n11456 45384\n42845 54120\n5834 83594\n83 47404\n22532 22763\n16364 33126\n5776 65115\n5914 7878\n39001 91263\n54531 81092\n1261 8711\n10814 97468\n13042 27190\n45760 67584\n49892 60566\n29518 94608\n59846 97520\n27370 49022\n28594 58437\n62169 87416\n2093 24387\n36459 89834\n41955 45899\n49018 53608\n81469 88763\n38156 53868\n27414 45397\n49629 64942\n34630 80694\n8929 98172\n17884 85436\n7937 96611\n17226 32194\n24369 92044\n8303 47465\n3453 63053\n42461 63399\n19642 91964\n18573 41335\n49428 74562\n52145 82533\n8436 22501\n23689 25667\n70651 87626\n1430 64252\n60663 75721\n39692 97831\n46862 57810\n16755 85333\n8551 32031\n17198 48635\n10315 77115\n2059 69998\n1363 45342\n79763 91169\n830 51362\n39525 77229\n21493 52101\n13800 67278\n2690 48202\n55427 55574\n23821 27547\n23315 61168\n36273 47898\n39770 79019\n16403 41448\n38608 92083\n17373 83240\n14052 39344\n11721 78595\n49405 99450\n2573 60765\n480 51114\n25248 65495\n26159 72638\n10842 58127\n16131 25621\n31766 87136\n13318 46868\n40950 50583\n70611 90026\n5698 68864\n92931 95010\n32351 86193\n90829 94719\n52977 87418\n78792 91683\n12515 64302\n67201 88379\n6405 38681\n1231 27623\n14234 61958\n36116 74788\n68541 70490\n52192 95581\n16591 95415\n2556 96476\n22766 46900\n38286 71298\n16094 35997\n50807 92823\n72996 82000\n21783 63393\n41203 44625\n48690 97473\n28063 71553\n17784 41568\n72396 83213\n86659 99549\n47275 89354\n56296 95850\n1722 95897\n23562 64854\n13487 29428\n83989 91385\n40327 71628\n53335 62969\n19966 54066\n89750 98247\n1701 80515\n50790 75231\n30312 97037\n16450 82757\n65265 95773\n68529 70996\n26725 36854\n40625 93054\n5518 54970\n48656 57285\n33053 66544\n81854 85054\n20697 75989\n26756 64666\n4392 70927\n67033 75126\n8324 64383\n6685 31553\n77833 88642\n8001 52488\n53338 88759\n7610 46523\n30413 51834\n59898 62171\n82115 90323\n17395 61750\n24798 92792\n66914 86944\n31650 89583\n1410 38620\n47661 88930\n2778 18101\n17640 96391\n24166 75824\n62806 82958\n57504 65176\n58868 88184\n27647 69144\n15315 15915\n26682 70007\n16168 43422\n1650 56530\n32184 58469\n54565 56043\n40679 56612\n66981 80818\n47937 74289\n10592 47410\n10245 78534\n95046 97855\n13438 34626\n2253 6326\n43514 77921\n43258 60970\n37834 90585\n24596 63038\n55212 72686\n13437 37534\n72254 81033\n11062 79961\n72308 74310\n80278 89200\n49527 53227\n1706 13290\n7847 70328\n65658 95428\n58578 86218\n4329 32875\n25396 99780\n40757 59784\n13606 25545\n4391 88881\n88340 92576\n44322 51470\n45713 68516\n14540 39847\n29239 40887\n22118 80960\n5195 53860\n76957 85646\n36860 97536\n15252 63729\n5323 78617\n41312 42433\n31003 69181\n12914 86761\n51984 69344\n29151 37624\n46722 80995\n33083 89951\n13552 96199\n3283 73032\n11422 24859\n21238 72846\n58602 97312\n15396 32108\n54610 72590\n42835 85748\n62301 72726\n45859 87588\n897 82591\n22135 49321\n53932 96024\n47583 54539\n15182 41801\n17668 56760\n47400 97683\n1005 55504\n7971 54391\n31747 91706\n4567 73646\n13830 51467\n69878 71736\n7522 40204\n16671 25064\n12035 83210\n35124 74069\n19050 74774\n16222 34654\n58504 73950\n27983 41643\n23048 63583\n69472 76472\n10114 16682\n32782 33346\n41969 97284\n39427 98301\n7283 69341\n19470 52489\n70745 99362\n8194 94051\n58748 89963\n5068 96665\n41346 86199\n89314 94892\n29696 43253\n24072 59305\n23780 57823\n10352 18542\n54724 63278\n86414 98631\n34466 58849\n34947 75497\n18088 89168\n14648 19133\n5696 25508\n3482 31638\n373 95892\n68821 85366\n59911 65801\n21506 96658\n6154 43535\n85411 93051\n15702 67287\n21009 96080\n3961 82111\n66074 97701\n29041 30890\n34737 64418\n35630 52882\n2475 87753\n39559 73580\n23182 41509\n13807 44289\n65509 91551\n58189 60767\n44258 67963\n7954 24174\n5770 37410\n4428 42510\n30556 63552\n2994 68586\n1368 77019\n75352 77846\n10599 56909\n4474 97125\n21861 86857\n41318 51095\n26527 40686\n377 59009\n12782 14605\n15316 67321\n61636 67648\n19419 63137\n29062 57928\n12464 88886\n89751 93489\n2254 71740\n73375 91421\n12034 37561\n17937 76906\n31688 50800\n1715 93572\n5948 68273\n75078 76788\n7423 37431\n69300 96023\n29400 72278\n1159 74939\n54713 62405\n39495 67957\n21843 85659\n21689 75821\n63514 91774\n10735 84728\n6854 59820\n3567 73317\n35036 79849\n53615 92288\n88277 91382\n16248 48243\n84324 85702\n15736 36121\n61926 96321\n32695 86970\n34746 98135\n51452 82043\n5254 28698\n42196 81326\n56671 88969\n11235 67053\n3042 51788\n17865 33080\n462 730\n47710 56412\n60429 97784\n5639 29962\n96062 96656\n47049 76032\n41503 89719\n81412 95457\n20116 59120\n42208 96961\n73026 76575\n63259 92809\n71893 76509\n22592 62368\n34562 54062\n65981 88612\n68417 98417\n75609 95340\n47185 92174\n14189 17192\n96300 98282\n28849 47221\n65135 75920\n981 1961\n92 52395\n1789 22500\n11259 47208\n18106 52893\n43351 54777\n2896 8836\n70505 87140\n70933 95673\n53528 89357\n23950 49703\n5549 48433\n5486 18308\n27810 34365\n20635 99877\n33927 42868\n6701 60331\n20799 72572\n71658 89470\n37240 99614\n22043 74989\n63973 75424\n41094 67252\n35585 63600\n41202 98238\n37520 62715\n130 42484\n39133 55811\n50046 63265\n37533 70234\n44561 87559\n44208 87028\n64047 67928\n39333 93875\n8716 40820\n11585 26525\n61095 77822\n52789 83776\n11711 19982\n28275 78887\n41171 96677\n55234 71841\n21075 68542\n8902 11441\n53250 77562\n71359 79162\n39038 81183\n6767 40747\n65892 74936\n17762 35469\n19772 30381\n19258 70777\n5227 80450\n19868 33125\n26961 89582\n11751 23894\n33985 96901\n746 46576\n80529 86667\n71116 86930\n14424 23148\n88067 96183\n545 54627\n27290 77961\n7048 91139\n28638 37330\n93 39518\n42756 92897\n81600 97844\n50465 57868\n19804 55897\n4332 27223\n41319 65875\n55767 55923\n17283 80075\n2660 34391\n36971 97128\n18649 63069\n69837 70117\n831 21794\n36702 86098\n9481 13290\n19129 20445\n13495 74446\n22827 73274\n28862 96399\n159 56488\n18339 84410\n12223 22613\n5615 15636\n37382 79534\n9173 58373\n12437 72111\n11273 55068\n67596 93091\n68610 88419\n37801 44303\n13070 28334\n80706 81966\n4346 54880\n33589 73426\n36394 67971\n16435 30042\n3234 97776\n3612 55481\n48036 82556\n29928 55434\n4338 67794\n60377 76158\n8123 32700\n83611 98388\n23564 26422\n71053 94422\n16534 28986\n89092 93098\n7013 17539\n1189 9018\n66923 74763\n48533 55975\n5256 63625\n52927 71207\n48918 94991\n43553 59004\n5653 87609\n23437 86320\n7688 32788\n21617 74537\n44462 91683\n31824 98230\n67162 96568\n52288 57644\n492 12671\n51698 89253\n53823 96504\n60723 67534\n5288 26458\n36070 57844\n16221 67811\n2559 87577\n17291 67201\n50208 98271\n62762 62821\n9871 26519\n47756 97248\n64130 81035\n54484 92561\n17781 79104\n8697 84130\n65078 67142\n26410 76959\n55013 67652\n53706 64448\n52701 58469\n43028 46518\n15461 22277\n30168 32066\n28211 96881\n44745 55109\n10468 66905\n44676 51359\n6339 55156\n20046 52386\n25017 63620\n52605 59469\n56640 58108\n46290 62034\n3836 68850\n12733 42150\n31179 56506\n40987 72075\n27885 43221\n3763 6040\n66150 73574\n35685 58109\n47075 98263\n57871 87473\n75664 83289\n30019 85722\n97724 99934\n37717 87143\n39776 85749\n8420 26905\n9522 83500\n38163 98841\n1492 72259\n66959 88430\n134 66525\n20695 31629\n36383 76709\n24004 34869\n23963 57702\n33425 93357\n32942 61159\n87770 96693\n38597 82126\n59776 74798\n77834 96140\n16949 19798\n70863 83391\n5954 11116\n36020 80535\n25311 94946\n29218 90381\n5539 78141\n86793 89085\n8132 20968\n5654 52097\n49914 80589\n67422 98858\n30291 90700\n57867 72023\n3590 33016\n38467 93074\n74666 82677\n63650 82253\n72706 77201\n7736 39885\n35968 80603\n11791 89661\n21135 86308\n66768 94355\n19378 79947\n47903 84746\n55783 97303\n11419 35552\n32067 90231\n65465 69572\n80065 91078\n18927 57102\n16900 25428\n20071 64248\n47144 60553\n52616 78083\n13999 87302\n36597 38148\n42885 71109\n2693 80638\n25788 96325\n1177 47484\n4282 52807\n72099 97602\n4437 55716\n90641 99196\n36402 43142\n49110 66578\n9695 61221\n50136 57837\n23547 36539\n38134 81902\n26843 39510\n22243 26478\n19055 65676\n6140 32421\n64790 67482\n21278 41990\n44320 56212\n75237 80373\n1783 85115\n10484 73168\n3896 78780\n13298 82084\n16988 57070\n17489 83544\n42249 64807\n2847 38993\n57216 76169\n62589 91876\n35267 68394\n25405 47363\n7275 94455\n2240 25019\n33209 55766\n48542 64593\n12498 74771\n62791 88754\n37755 97146\n6671 10961\n25037 34775\n1636 17841\n51065 70679\n51990 58391\n7284 18393\n18147 26558\n24395 72029\n11797 87056\n75 74662\n3352 24248\n42951 56370\n40767 69821\n2911 43820\n32739 96878\n4042 76617\n88518 96085\n16567 59547\n60717 75040\n16168 20313\n48201 63905\n29373 56875\n54812 68740\n54518 72265\n70239 93795\n4804 49412\n61747 61917\n28357 71226\n13834 83119\n26914 31459\n80221 83752\n62594 98523\n6228 23508\n25479 65270\n67034 81325\n59418 62860\n74659 94829\n5992 28247\n56646 85975\n42857 69783\n12417 27738\n8275 81922\n73713 96746\n76556 86038\n66772 82548\n71985 92852\n9459 43772\n34072 90749\n3672 61422\n5626 31396\n14785 39859\n19413 21291\n2196 86690\n40077 92225\n35388 69329\n48560 90893\n25554 61971\n15670 94379\n4340 92265\n20168 43996\n87624 93609\n88249 90432\n11738 86800\n2440 61484\n44239 44288\n39083 41042\n25977 41199\n63342 94892\n19885 37117\n11147 69077\n39186 46117\n9520 82999\n371 60402\n36165 91867\n49658 89454\n47186 99846\n21037 29541\n26932 35504\n20241 67351\n7426 23176\n9385 22536\n14087 80435\n77822 82223\n35445 70525\n46253 64480\n85089 97368\n70796 99896\n2776 18441\n32099 76305\n43709 48373\n16569 67209\n53676 56727\n855 30163\n21520 40034\n97796 98470\n50700 66664\n92059 96950\n11409 85504\n2175 94293\n72282 95069\n65753 74012\n46151 89658\n14739 70972\n51632 83316\n46884 92927\n41277 94090\n15700 22475\n24442 44804\n76853 92859\n29335 86300\n27841 70273\n49196 63245\n6616 47034\n65059 68507\n7412 31826\n24829 57607\n21717 83102\n9838 31948\n55403 57762\n7351 65397\n20470 46540\n26028 65799\n26993 47460\n73029 88788\n17111 42897\n3308 32220\n40608 84417\n7806 57376\n61780 92044\n24548 49735\n87503 88669\n8201 24496\n348 24782\n7066 69530\n15731 39307\n16368 40128\n44585 71661\n9052 58783\n35626 66831\n25782 73309\n51919 89056\n46211 85312\n38298 72085\n3416 31799\n58372 61660\n30391 40390\n34071 73903\n19126 53293\n23108 27979\n26523 70234\n70149 82904\n16525 34080\n14258 37677\n3620 66801\n29340 80930\n65726 85666\n1754 76149\n5361 22699\n84146 87142\n31276 69447\n59212 77652\n2394 46356\n64321 84371\n10821 35978\n11560 26155\n2149 88192\n1575 68376\n34115 81853\n23318 25208\n1870 50813\n35799 42471\n55494 83867\n79889 95421\n38395 47905\n12504 40779\n50175 92313\n64146 98340\n65140 80105\n8725 72232\n41940 92895\n39928 92375\n86283 86551\n17878 79124\n6117 33049\n11169 63643\n1333 7793\n27112 47330\n9155 97742\n88039 90127\n40648 99774\n50991 56694\n20927 99354\n35723 61254\n10747 37768\n45360 55008\n4886 91411\n25117 54454\n707 39053\n9166 43856\n7665 57008\n3611 38536\n21744 38995\n16048 84083\n39338 60683\n4961 81473\n23593 46325\n55334 87280\n9787 80697\n19779 35228\n13742 30019\n22565 35782\n3698 77586\n32993 54526\n49211 75399\n3002 68655\n39488 40208\n14061 73807\n56244 58666\n65249 85205\n31455 87025\n77703 98856\n45177 90069\n78284 80167\n70674 96741\n17716 80400\n19207 26788\n55722 63444\n25975 62724\n12479 73605\n26864 76475\n36024 44421\n65568 81499\n75408 76240\n55444 56383\n15481 54957\n2259 68566\n15664 45530\n40785 91425\n79564 86078\n67171 86948\n15790 16273\n13999 22325\n38021 46466\n16031 39680\n74705 77518\n33582 64431\n44616 74441\n86676 87050\n73773 74370\n30932 53887\n60497 82302\n53720 96301\n16995 92297\n29998 63466\n37277 85242\n8866 52860\n5543 21670\n75872 84449\n18323 51760\n37274 68894\n21136 61530\n43973 57825\n18433 64631\n95000 97104\n2835 10717\n24127 68461\n48562 71504\n1496 67191\n27676 63940\n60126 75979\n15196 18346\n18127 93935\n968 94176\n41707 79051\n54584 70638\n76824 92877\n4036 89078\n3599 4279\n33406 65574\n62256 78589\n725 93356\n61021 90957\n66197 77620\n26315 65413\n27368 90918\n7232 30997\n26376 59289\n22126 54570\n61187 72801\n47995 84432\n39966 40863\n40164 52427\n44683 57679\n40522 92464\n11960 27613\n32592 41977\n41300 90897\n38249 62464\n23924 51171\n11888 25106\n26818 29833\n35457 63725\n63541 71232\n63978 72192\n17098 56104\n49596 71581\n866 92544\n27036 49020\n73679 73771\n74468 90461\n59067 85965\n65464 68081\n26539 95325\n1900 63248\n3968 67060\n4276 13671\n35052 66681\n51445 83700\n33896 93787\n6154 35785\n79720 96488\n14763 40131\n27719 73928\n64554 84875\n68775 73660\n8726 11270\n26170 39040\n21562 68359\n23171 29701\n48735 59689\n40553 46832\n87633 97732\n66337 70434\n10678 28387\n18841 58858\n31086 37586\n134 34929\n56849 60005\n34304 87962\n43221 49706\n5023 43732\n34539 65283\n18333 46934\n47679 74035\n49008 51028\n37339 47630\n24974 39503\n30518 45709\n34705 55341\n39331 58651\n43340 73109\n48573 87547\n85371 99713\n31536 48483\n46319 92968\n23590 49108\n19915 98046\n76577 93897\n65693 85305\n43175 94166\n63414 97554\n39915 84296\n29876 83735\n52088 53266\n1033 78154\n21087 48363\n66504 94296\n4536 32231\n37931 82973\n71410 74139\n74324 96164\n25238 60528\n26615 43623\n51213 51903\n174 89194\n41567 46434\n14444 78700\n15812 74184\n12533 60793\n51595 73851\n11160 23196\n46472 91316\n6608 39614\n1300 3848\n2791 73449\n31071 74836\n27997 84989\n39469 89026\n19544 30543\n29873 37326\n38388 90461\n54610 56945\n56726 76525\n27340 43272\n1464 2806\n54642 58522\n718 48410\n43961 95042\n26355 66076\n16018 44674\n62757 67870\n9016 67285\n39982 99805\n68505 99981\n90071 95017\n2861 58628\n24483 80989\n61489 62318\n21871 33037\n60637 64671\n75806 79046\n73399 84506\n20410 76216\n77436 82557\n10724 57975\n81858 92034\n59899 75358\n21399 27373\n33965 62753\n18963 68722\n54634 85937\n4046 30798\n75151 90756\n63616 79006\n70446 88788\n1194 65289\n24772 57101\n40855 86682\n85702 97689\n7138 9693\n36078 73393\n44835 45610\n31074 59690\n44631 84362\n12312 95619\n55492 88400\n15949 77635\n46219 86038\n56629 64283\n6544 29814\n41439 45507\n7684 85880\n35729 81202\n83085 93829\n10898 96664\n54363 89294\n72615 82644\n18634 41610\n34508 59485\n6840 18899\n20052 42381\n23968 55452\n36187 82092\n3579 17569\n21642 56456\n2600 84344\n20838 58369\n23475 44673\n33434 61186\n46891 85636\n37528 44066\n39900 78910\n2266 66206\n10259 43114\n52205 67895\n14766 38954\n73165 96766\n56538 71099\n78947 80394\n38164 82777\n43038 84126\n64326 93517\n9146 24071\n43389 98279\n50674 70714\n12942 55553\n2155 62511\n83161 85703\n61121 71210\n7615 41547\n27179 42349\n56886 72401\n50284 78155\n24831 85288\n2905 98472\n37135 67778\n20503 46123\n16460 50078\n26082 73250\n69994 85412\n354 827\n68680 71968\n21263 92770\n10534 24761\n65178 76090\n31502 54902\n59491 96205\n2486 10819\n3870 50772\n57771 77963\n243 74473\n34188 93873\n23237 58242\n27001 82390\n7155 20746\n14364 35295\n41856 98379\n46256 75349\n81388 86408\n69698 86489\n8350 27167\n40082 82709\n19410 65527\n1285 27602\n10006 44731\n29925 66238\n76258 94966\n12069 47345\n3435 55356\n4709 79620\n47243 60521\n24062 42602\n83820 90805\n11205 55498\n34509 84513\n63766 75141\n1265 26026\n404 25226\n985 1784\n21993 52762\n6052 50375\n61397 62994\n60196 86785\n28165 35573\n32173 38800\n35148 73351\n47820 55436\n50722 94448\n6687 81806\n49206 59988\n42438 65440\n50001 63568\n63542 76307\n18862 47131\n4511 8624\n12502 51037\n36528 78725\n17436 41415\n92040 98003\n6753 79186\n51072 93343\n12629 38904\n892 38273\n7565 96340\n24109 36149\n30512 53457\n48214 80121\n84581 96902\n22481 39101\n31909 39177\n40449 45728\n45779 67360\n6896 49061\n38391 55406\n17589 93181\n23371 61748\n13533 71882\n49599 63980\n24475 61619\n71167 85835\n3376 47344\n13677 37873\n20538 51172\n157 86574\n27218 31511\n40566 42999\n30678 47686\n64508 69127\n87267 98682\n71170 93897\n73055 83435\n84295 89408\n56807 78062\n11918 43722\n29028 76830\n56774 58815\n57114 95644\n18069 93122\n9309 92094\n41201 94241\n27267 64143\n7024 7438\n13691 14368\n15655 44938\n21105 61448\n64279 99459\n36798 54616\n13632 49601\n49982 71267\n11062 20215\n16240 83052\n57289 97254\n7823 68089\n86824 96781\n23472 74619\n7187 62283\n4016 96653\n61764 78183\n36374 78076\n1142 67248\n85431 96735\n24328 66449\n19189 52262\n40399 54997\n1729 49229\n57748 86823\n15088 32397\n15810 43547\n35755 72963\n4154 61845\n21623 67123\n39242 63718\n11872 95090\n3086 90063\n40946 59567\n4258 25191\n47105 66965\n26597 94262\n55206 97096\n14539 48939\n67929 82190\n69147 74283\n33982 57747\n5381 57890\n1446 88600\n55232 97288\n81808 99024\n5689 28639\n79049 92795\n23670 63592\n38277 41472\n38009 45714\n164 16306\n43927 67768\n59219 87880\n19867 47707\n30571 64187\n41467 84179\n84986 98707\n22262 68627\n21122 32871\n34549 43515\n15779 94108\n7996 81803\n31381 87347\n3677 15980\n44945 62551\n34772 49462\n12246 14465\n91494 95732\n26162 61894\n29128 70958\n31017 39336\n19687 74743\n2980 52488\n54709 65012\n9034 24795\n41237 70800\n33869 77182\n23310 40944\n68266 90763\n2521 11370\n38558 44132\n34021 70258\n27446 52993\n64624 72895\n52089 75112\n34203 73059\n29519 70458\n36079 84604\n42991 81021\n61086 99572\n13283 36664\n31477 32671\n65519 70508\n17505 92350\n53245 92943\n7790 74056\n4303 45577\n14745 81358\n21160 32275\n18597 82153\n68430 93769\n31724 62985\n12032 44490\n71491 75705\n30443 98238\n33117 41707\n16444 44082\n89813 91626\n73834 82997\n51594 99408\n16808 34160\n43089 60121\n44398 73990\n44909 74661\n41437 89093\n23596 87046\n61982 71009\n78229 80533\n39293 68027\n23740 66914\n20729 45469\n5086 90269\n61764 68692\n47290 54496\n13983 43582\n51622 58982\n16792 63351\n28650 59697\n28985 65398\n75006 83790\n42394 78480\n2057 75524\n36764 78266\n73039 85570\n60050 72799\n20681 55043\n56925 67294\n1640 48206\n2637 64401\n68624 81587\n32387 71959\n5826 26928\n62349 78294\n28698 66067\n35242 78146\n42384 58171\n67558 75111\n23806 57240\n24385 39551\n12025 43327\n36731 80884\n1834 84971\n33605 79960\n6474 21487\n68446 76761\n12016 16312\n13108 99735\n10529 20064\n16518 96969\n524 75319\n9608 14736\n16099 68548\n72627 94168\n66830 96579\n9211 31763\n58360 81921\n71890 93378\n5366 72106\n90954 94649\n31093 49358\n63960 71282\n8874 26519\n16460 93143\n25526 66652\n8469 35215\n18088 60594\n40829 59485\n86135 93857\n64546 85211\n61362 82854\n13668 61120\n40959 68377\n39185 65590\n21729 95425\n51267 98685\n2199 63339\n70321 77855\n16541 94518\n95510 98030\n19570 21813\n74428 95391\n14456 15197\n41141 50571\n2653 69002\n43110 99793\n3063 54207\n58409 99212\n7833 29390\n1801 24814\n75371 87124\n21581 27127\n15466 29583\n37534 98156\n21330 85650\n39372 82402\n29148 62562\n57326 67770\n1378 67531\n25984 39744\n81274 86632\n2393 84220\n61888 70364\n34333 76227\n36213 89339\n52563 67510\n52834 71830\n70229 95349\n36482 65757\n52650 87162\n5019 84321\n28191 70263\n45670 97687\n13863 69192\n78061 92429\n59684 92366\n40638 98001\n62340 79972\n39183 77668\n17989 43613\n4294 64904\n9790 43010\n80535 96448\n6627 70837\n31062 86470\n46804 63303\n10645 65856\n40586 49918\n68557 79851\n30295 95340\n421 72242\n84341 85106\n18312 19170\n34238 93988\n77952 97100\n52201 88301\n67172 73215\n58213 69671\n1650 42308\n46030 95702\n93020 97849\n40482 58895\n41639 60876\n76675 95229\n16735 96418\n29880 94880\n35201 73936\n7234 9559\n24335 28968\n39670 55313\n23088 30505\n13045 46519\n38269 49191\n59164 83019\n27848 82234\n18758 75250\n55586 68915\n8659 77812\n22949 69240\n10341 70439\n42039 62567\n21002 57029\n53058 72972\n37142 76430\n15834 75213\n44193 66991\n42892 61719\n7450 55024\n93316 98714\n30991 50796\n12158 94585\n4362 32991\n34408 88881\n59643 71393\n84345 90536\n1421 38936\n91679 91793\n17308 33151\n60893 82424\n2496 82554\n45327 91178\n46411 46455\n89655 98542\n59849 83027\n32588 52246\n63300 68637\n13569 19409\n35319 64003\n20090 54680\n18668 84075\n57641 62421\n57887 91964\n64268 68106\n21495 34040\n41102 70780\n68337 91987\n5311 28013\n19779 37230\n38795 73548\n39409 73079\n26063 29544\n19916 99628\n67994 78961\n27943 70187\n83850 97545\n61283 83413\n11506 82524\n45005 93915\n15217 94775\n28028 86311\n30458 47741\n586 5828\n73462 98497\n70127 78901\n30031 91026\n19940 74487\n47984 60364\n31172 80732\n67510 72481\n14459 21170\n85965 88550\n35392 53057\n18690 69800\n8785 9941\n52164 97748\n1045 46839\n43915 48236\n6977 14018\n20192 73314\n42802 55008\n53274 97742\n65443 82208\n6672 78462\n59145 97375\n22805 94816\n56863 89896\n62510 96171\n55596 77413\n51768 66327\n11165 46542\n75941 77640\n34633 59818\n8591 26569\n44594 87482\n33254 94104\n21127 67188\n12058 27007\n63423 84166\n56160 60094\n25040 78581\n299 53800\n2767 84309\n47003 83636\n6523 7698\n9539 58832\n13892 45488\n34823 56891\n11702 90599\n16081 76671\n19128 21760\n29706 34110\n45516 91586\n9240 88672\n32167 91841\n48431 65899\n55940 68296\n901 96302\n9843 36674\n2098 67221\n35100 95879\n28356 41651\n15306 67033\n70458 71918\n36550 39931\n13258 48601\n46 69729\n4354 90898\n17029 51046\n46724 70527\n34116 89188\n29785 46760\n30755 68026\n62514 94310\n3539 87327\n48271 62195\n96907 98859\n36589 87983\n31347 76479\n13300 69479\n535 46367\n19822 99822\n56253 95155\n72872 98661\n35254 66778\n68805 88259\n43979 89259\n30527 83445\n4560 40680\n50907 98580\n48275 70971\n81849 84649\n10157 52526\n4969 48296\n12745 79680\n28597 81402\n14491 52438\n17243 57368\n14040 45585\n42308 91481\n31266 64350\n25083 98294\n56972 57971\n8274 27501\n16676 79703\n67432 94014\n10308 54986\n215 42864\n7996 8064\n42058 48115\n24444 72189\n4871 82697\n5568 74804\n5322 81922\n51151 99454\n8726 79838\n15314 18197\n46709 59750\n27717 63979\n27702 87515\n74282 93773\n3570 70426\n28367 42238\n55172 65576\n71781 98493\n1800 2972\n37775 95673\n3003 45667\n48299 72612\n21711 23544\n58693 92166\n5646 41869\n31416 44957\n21622 32841\n50649 86973\n53573 78614\n8985 25997\n15060 47943\n23363 24738\n22162 55635\n20245 36711\n59423 85892\n67858 95991\n82151 97308\n74512 82760\n78816 86141\n67352 98107\n245 49038\n14307 43724\n31633 86885\n21173 40627\n41703 63859\n56321 66753\n15157 26843\n7320 90930\n7059 70633\n7005 8239\n64337 84970\n26764 77518\n40724 41345\n83142 85210\n17361 28762\n44953 53001\n34879 74055\n45559 86931\n43661 69667\n15638 63263\n51693 67784\n13099 37242\n33784 55057\n19349 48414\n62042 82415\n11343 55482\n15100 67950\n29547 45310\n4787 53381\n77056 84510\n2969 12082\n15143 29678\n72241 83138\n38493 63524\n78290 82971\n66197 77570\n4374 82876\n25439 47833\n2775 24881\n38727 51226\n49865 95976\n21800 76714\n40198 53977\n8859 14782\n21439 77508\n45341 66068\n78060 91382\n85497 92415\n71790 94074\n17363 34827\n54696 91496\n66610 91436\n9357 82148\n36332 64365\n18853 84025\n53816 81379\n11097 60505\n4714 62150\n11591 98720\n58734 85256\n53550 72067\n40767 82781\n9871 61550\n26152 44991\n44451 79669\n3006 90632\n57596 74875\n20322 88047\n8914 53497\n34377 94645\n14702 75351\n21352 82476\n57305 93859\n24247 48264\n23080 87300\n65784 68550\n24008 47981\n1871 86018\n48752 70250\n233 51111\n22049 95097\n9948 41974\n3541 46452\n80161 99867\n32033 44263\n23258 84464\n12373 40993\n67751 87459\n32048 35066\n20102 92397\n9923 27781\n46376 91334\n54666 63094\n56627 64176\n80583 83068\n60328 72277\n13535 63665\n41911 95781\n60229 72773\n42447 88008\n70942 75813\n85960 91557\n16037 30588\n85378 93628\n57170 96503\n27727 62540\n31675 76862\n68253 82068\n66511 76520\n66073 99666\n4895 82020\n10423 44310\n5661 99254\n36380 72818\n45158 70481\n5918 52104\n16437 94289\n44119 46396\n27976 73025\n11893 58839\n8015 68264\n28201 81011\n16888 70033\n7317 36358\n70561 76798\n12531 97217\n52146 65829\n2419 48075\n5136 25588\n56147 99499\n17993 23457\n32893 61059\n42190 63404\n31404 79087\n9733 11360\n69932 79059\n4827 54041\n15512 82199\n87776 98786\n12791 84570\n8399 55650\n2977 81540\n37339 90928\n49706 55281\n13422 93620\n3687 10251\n11437 82026\n84745 99952\n9025 74770\n7567 14343\n9808 46350\n21239 39374\n34415 56903\n7926 88650\n57301 61682\n15710 42943\n45646 68988\n64850 80849\n21669 73890\n30311 36105\n66948 96540\n31881 55832\n706 36467\n33793 59268\n40968 45489\n34350 87662\n3770 23446\n2898 25823\n77032 86049\n57537 67516\n79987 81316\n60917 85842\n42612 82516\n48188 84924\n36689 89312\n57108 87329\n46866 65946\n6014 36200\n86482 94508\n68101 93473\n44786 50802\n29732 50953\n49704 85138\n29614 58631\n1292 87406\n25211 78021\n61237 99837\n19153 52447\n37826 42779\n48890 81610\n39318 62535\n38198 79796\n49596 74664\n30622 75834\n51436 73253\n4433 34577\n14804 61538\n49066 98556\n42509 97317\n12858 72187\n10598 31703\n13662 75356\n8100 93467\n34007 55807\n17400 39448\n64947 99642\n19659 89843\n68905 94255\n43848 49061\n67371 74506\n42341 72570\n23632 72302\n72199 80323\n32759 59326\n27688 78246\n18547 63901\n3150 50624\n23571 66917\n32439 76358\n55063 59512\n19655 76731\n48437 75214\n42078 80585\n49963 60311\n50995 63794\n21684 71294\n2308 38503\n71937 73555\n17701 66673\n55551 61089\n20338 45742\n66040 76386\n178 91153\n86696 95903\n20433 58961\n69236 83380\n5860 17130\n71095 77878\n31542 37795\n21198 61695\n72917 81739\n34039 94340\n53907 96187\n1211 92375\n30397 72186\n45357 60785\n67638 90473\n76728 94802\n41538 73547\n2209 24332\n26774 36362\n45282 68626\n37416 72174\n36104 42454\n50804 90711\n14003 74372\n74897 91729\n38545 87203\n50977 75375\n73900 76071\n9911 88249\n24145 27332\n49970 50442\n21731 44775\n2705 97839\n13044 48604\n63916 82664\n16004 57147\n66291 82896\n57360 71889\n37637 60872\n89199 89426\n421 42151\n47636 77522\n58946 82045\n45610 95780\n48922 59252\n12402 13293\n5120 32926\n2098 58573\n54272 62379\n12111 95110\n98766 99486\n50583 73578\n11793 66288\n14700 24164\n28342 68554\n20953 87602\n18979 53207\n88468 90018\n51059 76863\n21299 87472\n34533 84198\n9680 23473\n34152 71315\n56214 68770\n20810 97889\n25796 85649\n61054 92219\n7035 28787\n75315 94423\n23477 88367\n3105 36320\n61890 82740\n79246 82030\n27133 98258\n2662 23625\n39358 58926\n88438 94666\n19965 38393\n3201 55964\n62840 76432\n22680 57982\n35330 42251\n10887 13638\n7661 46109\n65772 82388\n26253 97340\n57422 75002\n44029 75174\n36161 50627\n53265 74948\n59041 94603\n20375 51849\n27485 93562\n7473 80475\n29425 62495\n52619 95204\n26126 62221\n78573 79509\n17324 81618\n1536 96970\n9577 15752\n64945 70656\n26826 38779\n8566 89262\n11048 87856\n51524 58137\n245 38882\n35879 80106\n13175 73502\n46697 72958\n50144 98428\n48147 80000\n12068 92860\n2515 36819\n57614 97814\n68298 70324\n61877 76212\n43260 82348\n54948 88646\n20899 50230\n70650 70905\n33097 50886\n13900 73380\n44153 69160\n38780 62089\n10219 26336\n14317 72081\n59999 74822\n732 42658\n1380 69911\n35459 70746\n79388 98648\n2271 41728\n23617 52963\n25665 47537\n36455 61516\n38884 94918\n327 77580\n27981 60965\n38127 52954\n15570 61638\n408 82229\n59298 88663\n83816 87425\n19997 73086\n40782 55094\n807 14411\n1661 58241\n64145 68105\n45733 91405\n59535 82948\n58778 90490\n27328 53402\n76597 86317\n8183 99462\n19793 51538\n96072 97276\n39365 60368\n46436 51815\n11087 95898\n21702 25463\n29060 58764\n9718 91746\n6171 41771\n67947 91064\n78865 98774\n37717 40696\n56037 68030\n11592 31938\n34115 85546\n62979 87469\n15875 76107\n17750 22010\n1343 29129\n21417 96672\n13374 34422\n37003 57637\n41899 86591\n11402 91809\n84889 97604\n83056 88686\n18700 25670\n10270 95113\n12532 43419\n18674 21501\n59412 91233\n36406 76445\n96883 98736\n29649 96737\n560 78380\n36701 65272\n44200 85229\n26105 69644\n37604 52381\n15839 47281\n43007 93830\n26809 31034\n33839 73162\n35038 50986\n53254 64621\n31935 93202\n27689 35277\n44347 62401\n26654 58381\n33473 63685\n49177 80698\n44861 66659\n34638 53881\n6671 76367\n29512 87236\n43116 89883\n3604 49086\n36102 73317\n33170 90043\n15645 16356\n20242 50914\n54797 59591\n19548 74816\n21764 35171\n24209 52105\n52902 59399\n12550 15997\n8136 96280\n42359 98033\n46152 79992\n20043 23142\n10963 87923\n12676 80839\n23571 82743\n37866 44851\n14458 31949\n46122 64110\n34979 41350\n50542 60012\n64558 77155\n54175 95926\n7554 29635\n13963 85615\n381 1227\n58875 63088\n80471 83070\n13642 38157\n21697 39307\n16401 30816\n14763 44999\n39249 77877\n4400 7056\n41121 82097\n20411 97756\n11093 42911\n20269 86692\n19128 68304\n36254 97123\n46496 55378\n28773 65377\n44859 49577\n32548 59491\n28554 74519\n18731 70870\n37001 75986\n31862 94992\n52854 79813\n87219 88490\n2264 97010\n82569 87062\n33926 87125\n19370 99474\n75163 85887\n42632 51935\n1423 46159\n67754 90942\n58580 61794\n41918 57153\n58713 67398\n13060 40791\n64698 77119\n30090 67849\n10229 17619\n9443 17031\n18215 77586\n79875 81399\n6349 48364\n47259 93162\n20899 50540\n31217 95253\n51871 75527\n30335 58722\n44248 53387\n30143 42523\n15407 47733\n12283 82802\n61790 98821\n46551 49123\n41098 82150\n3124 85189\n70290 94535\n8432 94381\n39302 75724\n48886 69453\n37539 59332\n12443 47166\n10650 29603\n16621 51802\n17778 97101\n15868 80294\n33540 65184\n49374 80468\n28929 98553\n59693 68098\n28304 63519\n45938 78554\n39394 68623\n67226 91433\n58860 71152\n21541 44310\n41784 60232\n40447 91444\n42148 72783\n34897 39461\n26963 57540\n45151 73048\n21556 22583\n23182 76272\n37267 53055\n26556 38038\n59602 64442\n3749 13135\n58982 60489\n16178 20492\n57610 66272\n3787 98402\n20464 31732\n5926 42730\n45963 66913\n49999 93313\n7885 46011\n9933 49367\n44034 73414\n31187 41136\n19316 32745\n9477 40131\n59998 97713\n50410 59197\n51047 79949\n35700 36563\n36762 73183\n50911 75199\n75317 92056\n36103 94835\n46946 48704\n80831 97542\n31949 86953\n55581 97794\n9457 83045\n77610 86263\n23770 36934\n15037 51772\n5921 77145\n29931 73329\n24687 70696\n4860 67136\n95077 95157\n23663 66639\n70625 81119\n53557 54361\n5114 91783\n30686 37804\n10264 24519\n7102 26381\n76531 95617\n8116 83356\n7747 54552\n4982 76334\n11081 47255\n7441 52588\n4720 99256\n10741 80064\n459 68573\n7185 75645\n1205 50997\n62247 80436\n41786 77251\n50865 91944\n128 11424\n68822 94627\n33243 33338\n56640 65868\n36529 38971\n78423 96032\n21917 86766\n50982 58300\n12164 15013\n9480 73970\n56178 70969\n94927 97863\n4388 80640\n19416 38411\n3623 47890\n6790 22562\n2652 78437\n53604 55687\n53012 68951\n77597 86306\n36109 45162\n58018 80330\n27626 67098\n2677 28133\n46009 92919\n16325 76725\n10177 30044\n57335 91253\n19599 65753\n24250 99276\n56299 74651\n10076 94713\n58089 79555\n26310 55572\n82886 89801\n18540 48672\n76860 78162\n3182 75803\n39709 42401\n42252 91110\n74125 92310\n10878 86891\n3247 31377\n91048 95625\n44459 62536\n16601 61560\n3129 83732\n7009 61689\n21281 39899\n7449 48090\n45456 71105\n25778 72926\n77669 89283\n21219 90268\n46820 50648\n11372 94439\n60571 68562\n28734 40127\n24013 50859\n5532 30462\n467 72264\n17495 87307\n11680 96067\n69656 76284\n25856 56309\n6587 14674\n40184 97521\n56733 74510\n78031 78575\n60516 73813\n48282 60876\n2047 14514\n28541 73799\n41292 61651\n47327 84450\n20807 33295\n6366 79656\n54894 89359\n24443 88121\n938 40790\n4273 82453\n56326 81282\n8650 35471\n20809 63753\n30498 40038\n6400 20798\n25708 96615\n67725 88444\n88804 97166\n65602 71729\n1419 34233\n25444 97945\n82584 91675\n76342 90551\n24283 57846\n1056 40015\n10295 44875\n23069 87986\n20220 77075\n35799 41094\n35280 55020\n86886 99484\n64627 72410\n26681 51164\n26947 72635\n41804 54016\n24231 31945\n44089 75003\n50796 61139\n29567 74378\n50724 73204\n48327 50631\n4497 18551\n16878 80511\n55325 71746\n43463 79378\n1616 37238\n11057 12168\n19656 41666\n95089 96908\n73127 93323\n45304 63164\n22671 43173\n44638 60283\n70442 91634\n24260 76955\n11953 22459\n24487 39096\n12718 73251\n46196 81281\n45336 76282\n9942 64160\n14483 89339\n59743 94976\n13674 77582\n14659 84919\n39165 51878\n80965 90021\n17987 22371\n64149 71252\n74981 98724\n25523 98615\n35820 52766\n6800 97309\n61611 90270\n8463 49562\n15255 78862\n45019 58904\n12015 16838\n10927 24380\n62139 81095\n8849 39363\n45810 48120\n5990 78689\n5427 71202\n53480 97064\n23379 55567\n58218 64435\n78405 90865\n35256 62328\n61457 97698\n92594 96558\n26933 93447\n54109 95479\n64377 97105\n72896 90103\n95120 95522\n13666 34049\n18685 94899\n23972 61566\n22656 93886\n9221 76148\n75100 80515\n11235 32539\n7310 87938\n62283 76631\n46467 51145\n33685 66915\n88127 94610\n40270 46082\n39279 74498\n35827 64799\n27934 64090\n24400 69503\n3775 61335\n20188 35057\n19468 38933\n14820 52595\n60631 87042\n7277 36990\n33275 44215\n23481 52136\n75164 99467\n14216 87574\n38177 97267\n22451 61835\n67068 97985\n29805 88115\n56236 63883\n26050 38546\n84880 90417\n2256 9016\n17402 77365\n37518 58981\n47284 85017\n90855 96058\n39155 98661\n30114 31892\n59248 73517\n30815 62422\n40602 58615\n83909 96362\n9632 62393\n22231 63370\n37592 67534\n25232 64318\n20818 77342\n88903 97649\n77291 97859\n5655 59371\n16721 30688\n85803 93036\n48556 58355\n37787 84599\n42625 84297\n59675 87493\n17978 42456\n12846 68792\n7672 10055\n15593 24851\n22846 77983\n20860 87646\n12550 85598\n81505 89583\n27467 60752\n28977 76487\n24840 78442\n66017 71197\n53077 87786\n92866 94535\n48836 59021\n24222 76590\n62875 79571\n76798 78347\n18330 99235\n91133 99701\n20126 24053\n83250 92164\n8921 96371\n27513 97673\n10838 34987\n10983 21238\n6139 82647\n31617 49561\n20866 36863\n47422 53752\n70208 93208\n2601 73517\n78381 99543\n22740 38545\n3126 12877\n15942 41671\n13774 73286\n24359 30667\n13798 22036\n3176 22188\n38900 88255\n318 91934\n11959 27053\n39282 79857\n29334 79895\n24248 49136\n32876 43336\n52917 92149\n18698 28546\n30368 65083\n91271 99575\n31288 37096\n93775 98530\n28174 92328\n26735 41320\n4849 9375\n17239 47262\n42406 86939\n15852 37574\n5862 83949\n39551 40010\n62130 69842\n25688 56602\n45595 52742\n8802 45096\n9894 32218\n19511 41865\n8208 71660\n41209 79523\n38697 42722\n1572 3800\n35521 63441\n897 66835\n3578 72983\n54516 77364\n6373 24326\n50469 71436\n23665 81587\n51795 76862\n44446 75545\n72783 90555\n84579 86997\n79494 87985\n48938 91754\n64536 77792\n18901 19246\n15846 94457\n83538 89992\n14589 91334\n81094 94471\n61299 85253\n53192 53662\n25864 84581\n4730 53669\n19127 26454\n2354 33000\n38157 47723\n19277 45205\n62051 92495\n22267 64288\n13980 29283\n9344 34302\n3582 56478\n7414 66471\n2979 21014\n916 94993\n46806 80325\n7581 98383\n39995 41210\n6393 10918\n21865 56679\n6544 21449\n23807 58582\n47385 84245\n5396 43957\n41481 95285\n13240 40550\n21104 57961\n63208 92918\n14067 35011\n13896 98409\n14588 60810\n61391 93775\n19711 20015\n49772 62559\n3690 19852\n1809 8382\n59101 79030\n5174 20385\n69585 93018\n25709 57418\n25098 71940\n38571 60101\n34451 49537\n26834 32417\n39760 90123\n36330 71595\n3836 44614\n37175 61219\n13224 78768\n6645 42691\n25460 51178\n36710 44063\n16621 36861\n55414 73956\n67261 76660\n29882 97367\n68997 76730\n16445 67831\n4621 51048\n40854 93097\n3801 26314\n1518 42037\n2597 92335\n5569 18718\n14398 18581\n65371 72741\n46086 98699\n60572 65267\n19987 38426\n74993 79611\n36179 60131\n68541 94138\n16837 31064\n11517 81069\n18195 76718\n11735 33672\n4804 24557\n37697 88165\n995 25379\n20876 22324\n16707 41629\n46592 59795\n5403 69777\n38421 63362\n15309 52366\n59508 60913\n27982 59899\n67942 87031\n27220 74116\n13458 99662\n25106 87087\n17126 65967\n12067 80744\n66374 90349\n20892 32176\n265 50855\n61760 86926\n76075 93393\n25401 65179\n69616 86941\n70425 76796\n15765 44181\n36801 54354\n22298 30659\n141 51791\n3339 95768\n10166 27719\n91138 93568\n30358 30677\n5561 16538\n48327 70812\n3318 53109\n20414 96141\n49641 85920\n16096 44289\n21069 91239\n51592 62220\n95590 96950\n21415 82365\n48798 68926\n76013 82081\n21313 32949\n64663 83235\n56125 70188\n26687 76205\n23719 42847\n56183 83968\n21672 59150\n7620 71501\n14109 20859\n6397 82259\n43588 91193\n83010 88112\n8438 57625\n50407 52931\n9094 45023\n32202 59395\n45397 71524\n29115 38421\n41808 80636\n15360 49022\n71145 80819\n56427 89355\n42596 65474\n40956 50109\n10378 78305\n39399 95126\n2631 53677\n54387 83361\n55244 94910\n4914 54281\n17406 72897\n50999 94819\n11345 88711\n20847 87105\n23466 34086\n44726 91491\n39437 58834\n25954 93485\n11533 74058\n34389 66168\n51146 82068\n4119 31239\n61621 71166\n29978 52167\n5078 74898\n11103 52417\n19553 80584\n23547 92607\n24726 37851\n38624 55920\n10429 55886\n5375 85424\n35094 81659\n87777 94290\n62541 79649\n70313 96650\n66793 87645\n16632 28988\n10302 78654\n5210 45834\n48611 59667\n42697 79973\n39230 57691\n22701 25928\n7610 50227\n84368 89229\n5303 46084\n15085 84495\n38765 72708\n46511 98529\n45871 96361\n6000 63859\n60623 89397\n856 74306\n25198 65625\n26267 61497\n15432 54729\n37787 93432\n13620 25700\n21597 64351\n47520 70814\n67323 96909\n8668 95798\n3793 83645\n39103 86776\n53636 71247\n12542 28453\n34537 94950\n58001 86851\n27558 54646\n20417 31907\n11132 50614\n2493 46933\n17678 80798\n27740 91748\n6307 26820\n65722 83478\n2997 80279\n73728 98032\n1494 68142\n31204 84197\n20408 32292\n41514 51885\n5907 79929\n16918 95520\n36514 91883\n15403 50357\n20991 83545\n47536 71620\n32960 36430\n31302 54415\n35131 56801\n7988 59154\n51608 91730\n9639 10958\n35559 63412\n8916 9348\n54681 77467\n31409 46281\n25099 62216\n12890 48031\n24992 55588\n27380 77716\n20832 25664\n28652 89673\n39709 78120\n5357 78579\n20135 21672\n14267 52665\n86455 87954\n61994 75311\n51706 66996\n58292 87128\n53700 70362\n55829 97290\n23057 54543\n52632 59742\n23578 92207\n7457 24139\n43270 86574\n48240 57637\n77595 79238\n38747 86005\n10121 97085\n68696 70835\n26187 73263\n63006 89288\n24383 50248\n18490 93433\n71395 97867\n6104 16579\n55327 89062\n13229 80650\n23957 67983\n66189 89771\n31403 78860\n8363 28257\n3307 72230\n5787 62268\n66886 72114\n5652 83894\n5721 36016\n11259 44482\n3569 52967\n5840 67987\n27861 29205\n5050 88111\n27870 65321\n13984 41714\n972 55123\n6893 29992\n54028 72721\n9006 76614\n40005 86153\n32242 38800\n31338 74084\n64527 71864\n43015 88378\n47742 56138\n54370 84865\n68523 81963\n48736 91553\n66576 76262\n70212 83653\n1696 45625\n74216 99063\n64198 77651\n37235 83746\n13214 37130\n9820 35289\n37502 71328\n39361 92056\n24887 94517\n11696 31306\n6755 86064\n37632 62014\n60481 79605\n30115 39705\n38040 59451\n24709 85237\n3182 86001\n2869 76232\n13794 95382\n17306 77881\n7752 22329\n46570 49874\n12611 65789\n22279 95928\n64188 81590\n11324 86789\n75427 86992\n46872 73843\n47126 85243\n23728 47811\n64885 71408\n15786 55586\n75949 80000\n21391 46258\n6455 83810\n36702 81292\n57941 92158\n55887 61882\n43921 89901\n25514 64166\n9067 16195\n13366 56705\n3951 19802\n8230 45756\n7105 58337\n48511 55314\n37169 71753\n22109 60277\n28652 59546\n26515 52008\n64773 81500\n17650 70940\n69416 73682\n9876 89717\n21886 87044\n30472 46331\n12433 80382\n26498 70344\n36834 74942\n87773 92514\n33258 69263\n15949 94047\n43799 80391\n11676 28821\n89931 93089\n57333 80614\n24211 28471\n9259 95136\n36991 67171\n53663 55891\n63184 73889\n58771 93662\n11606 41536\n29088 67761\n58838 90213\n22788 62415\n17604 41064\n9579 51018\n6767 96368\n51659 69158\n52034 79214\n61564 81739\n14695 59982\n43371 91336\n48710 70617\n96780 98948\n5233 93923\n7559 98889\n4122 46829\n26680 97411\n20311 61867\n18829 30444\n18685 37766\n36015 55754\n75181 98258\n24411 31378\n35192 63348\n46001 97085\n43873 98049\n15619 84773\n79998 98097\n21916 55556\n74270 86435\n1788 30013\n57014 85333\n22673 99654\n72216 97809\n4519 69799\n28802 75198\n44291 84384\n15233 46239\n992 1497\n54138 55587\n12417 79960\n8171 21252\n42145 42504\n66159 81245\n14158 50440\n40159 85185\n66192 72754\n54548 62684\n64552 78091\n22916 54684\n69655 89369\n13440 21479\n5957 23739\n45769 91030\n37369 49899\n12609 32423\n76981 77285\n36441 41721\n28797 45392\n55575 80207\n11329 68832\n1233 55870\n9247 41142\n16118 29281\n76876 89804\n27052 83067\n65675 84951\n51144 67386\n66871 90580\n49800 89794\n27743 39578\n62069 75666\n6937 41932\n84935 87239\n96917 99758\n12301 67444\n6286 87647\n23267 67825\n53404 92090\n15155 53729\n22898 71615\n9089 87345\n37005 57562\n7173 76277\n1946 49592\n5827 70902\n13603 55815\n25432 93734\n19173 26384\n67339 67377\n10837 51838\n52305 88240\n4303 89864\n63559 63949\n16570 72620\n58431 61250\n9235 91114\n26908 32554\n40723 58649\n66635 90865\n72114 92804\n21243 34026\n3626 92241\n23145 70009\n35294 92899\n46612 70029\n72320 78225\n37591 51891\n1363 42107\n35454 51134\n16435 84193\n87363 93647\n32902 58931\n2857 50812\n11863 99430\n5679 21654\n84618 88367\n41611 78160\n51245 71690\n32507 69155\n32666 49807\n17497 34619\n20900 83221\n38169 69108\n44095 48688\n39782 68541\n40050 70026\n54135 54801\n22375 55770\n95192 95853\n16402 42033\n30020 69200\n7868 41986\n6285 98985\n926 94439\n43979 92519\n70045 86115\n5601 44302\n30379 34624\n24060 39308\n2468 45648\n2426 69191\n24242 55504\n13279 98822\n40462 83955\n16750 94750\n17832 73525\n8406 54583\n43113 66755\n34583 97576\n38120 38385\n51192 65464\n16994 61617\n28048 51497\n47141 74778\n6216 77160\n39745 97298\n78859 89180\n16455 18382\n4400 47923\n23376 54709\n78852 85761\n12238 34090\n51143 99139\n12494 38721\n6282 28271\n41665 68266\n29109 48052\n18632 32510\n1282 37694\n17271 41387\n51344 62382\n203 56932\n70842 74463\n39852 62988\n22359 93318\n23032 55196\n72088 91369\n44988 58695\n37888 75718\n7213 15226\n18971 98461\n10834 79412\n4900 81897\n40826 58057\n31123 36572\n60455 65036\n53631 64234\n28518 39445\n26796 30620\n72131 97670\n767 33702\n18537 29073\n8190 34889\n38354 87742\n36428 39253\n43350 66199\n17457 35596\n49595 70922\n19265 42671\n33014 66716\n54944 70803\n35457 85606\n51917 82078\n65251 90885\n22184 37764\n24560 52233\n52247 66584\n59174 59624\n23763 75075\n20545 93294\n36914 67860\n22457 35149\n55797 84729\n39715 74814\n43975 63645\n32767 77846\n59620 98549\n25367 29901\n9239 30727\n23030 94013\n2842 34782\n50988 94060\n34859 72313\n27507 34498\n29759 88271\n51273 72289\n22691 62869\n19576 66864\n47170 82251\n39223 64494\n12224 78996\n85111 87493\n11609 20862\n6273 85287\n11499 28339\n20801 97184\n83982 89826\n36837 53001\n8349 62024\n21974 75902\n36163 73287\n2855 5413\n10003 70461\n11451 58264\n21911 44676\n56833 90163\n5403 37295\n71063 73079\n55788 72875\n2120 68050\n9765 80979\n754 29304\n16496 66351\n874 54190\n21825 96919\n49674 59267\n20559 71831\n64262 74655\n641 59640\n62523 88890\n2442 81669\n71465 96838\n54941 81805\n86844 90614\n5597 99723\n29189 57013\n6125 10323\n29665 63497\n32326 42502\n26588 33044\n28752 91795\n74242 99944\n4790 22320\n3768 99421\n8152 59916\n10228 47002\n75883 87952\n13409 48144\n17705 22835\n30920 74244\n7024 64568\n37963 52823\n49324 51184\n52525 78657\n49484 50314\n54811 94873\n20554 68906\n14198 77326\n45509 46698\n39000 45279\n73027 81647\n2642 57142\n41403 72357\n56633 59770\n15414 51477\n15835 94497\n6428 12776\n29843 68762\n48774 66904\n61543 66319\n4405 34260\n78970 82055\n81885 89735\n75189 89284\n74210 99890\n68784 69410\n28349 48921\n21299 63051\n16537 47375\n84919 91565\n44134 79353\n9598 83076\n13390 33611\n14834 23063\n13358 55708\n78995 90478\n82111 96853\n19945 33725\n9148 34149\n37885 87692\n4268 73090\n14574 80038\n17253 76722\n9528 44555\n6377 90447\n28390 29468\n61014 90575\n34114 93914\n84936 89717\n85346 86932\n12637 65174\n13470 47705\n60773 66390\n66967 81133\n53132 85480\n36355 88328\n60516 65801\n1982 96171\n54247 60967\n9979 43929\n41061 89531\n41450 44601\n69270 72350\n64058 75085\n13150 98066\n74430 78105\n43493 77829\n54725 85231\n13305 29561\n47227 80521\n69068 92833\n46591 91328\n41094 93124\n22941 60899\n527 25961\n23764 99332\n48803 79678\n30269 79629\n7352 95845\n55677 81272\n45019 91422\n50024 82514\n23033 65847\n9186 39497\n63337 68888\n9632 31840\n19590 24974\n38518 87607\n53216 63872\n52102 97438\n1443 3689\n31270 53821\n44790 75996\n49345 69058\n65605 73598\n59878 85263\n78250 84641\n40041 82087\n66247 82125\n44413 64295\n27322 61248\n3052 53953\n36146 89206\n52417 56347\n21754 24858\n4814 32101\n57546 74814\n30623 46978\n85879 94016\n54095 75115\n69602 90499\n60635 88664\n37932 39154\n28277 98300\n58823 94514\n44522 61392\n33739 73350\n35074 51334\n27262 66250\n8630 84389\n44676 47202\n4941 59481\n47915 61501\n26951 85461\n72144 72447\n16133 18249\n4849 39716\n18942 75437\n74853 91792\n32935 77919\n52884 60264\n5691 92495\n2671 93058\n56251 74624\n13639 74328\n22742 70530\n60685 99237\n35168 55252\n22994 39887\n14028 36281\n67490 75241\n6009 32515\n31744 75081\n15193 76157\n49951 57090\n15444 71912\n48767 67974\n34214 97033\n6903 51486\n32851 75155\n41961 76641\n37937 84040\n15329 88970\n298 94949\n64721 80573\n40215 56696\n26892 80914\n34612 63251\n68473 76930\n67647 96770\n5016 78244\n42059 44510\n42798 96611\n50826 62429\n11582 16723\n6163 67513\n43114 68592\n48628 91187\n19725 47542\n19806 57579\n36317 86272\n12119 23035\n41470 59167\n46848 61968\n60965 92608\n46484 52468\n23778 88017\n25323 88980\n25932 49182\n21057 87468\n68986 80153\n49432 93522\n27571 78054\n8113 38573\n27494 45233\n1064 7485\n25434 46668\n90842 96905\n30246 78122\n42799 73833\n17074 63578\n26815 54944\n2286 97409\n73424 88018\n56579 56687\n1412 38588\n19418 73509\n74182 88006\n13731 66395\n9717 42540\n33393 50916\n17517 29784\n38324 56119\n22507 57646\n9604 91504\n122 53262\n61426 82352\n49878 63456\n1814 90984\n36497 43229\n25555 75471\n65249 81864\n2920 46077\n41911 83735\n46143 53950\n72197 80292\n10597 24738\n29053 89432\n38982 77752\n57867 99874\n12232 39213\n82252 95695\n6731 19020\n56439 79839\n5732 42551\n34184 59149\n42297 86498\n52252 84926\n36811 68394\n13908 34464\n60841 83221\n39046 49219\n53990 74457\n37264 44986\n32135 93207\n6135 76612\n11490 73574\n72256 76553\n5763 76246\n14254 51303\n81506 83307\n16346 48094\n41727 60213\n441 85220\n45978 65943\n26678 56825\n35129 64825\n7504 86256\n1943 3681\n23107 68582\n72157 83329\n17894 43514\n26912 95663\n32469 59999\n67844 86817\n46718 83685\n34743 54287\n6523 29736\n23516 65087\n37799 56364\n54119 69574\n78403 94599\n45802 59918\n7846 77665\n48026 74284\n44130 67620\n75966 91145\n52524 69670\n81078 81963\n47236 79974\n9436 84838\n85047 86446\n40242 86775\n50597 89284\n46739 77185\n68722 76195\n5832 5889\n26967 75421\n19143 47141\n30719 44706\n10144 17115\n40759 63349\n10941 58144\n1950 26851\n11177 49631\n3514 46928\n29033 45735\n21154 85835\n65678 80232\n23214 95753\n23781 97208\n12501 98170\n3885 87667\n25578 96376\n18468 66738\n50509 97361\n11471 99593\n18666 52710\n46692 98455\n49493 76137\n2913 45991\n30387 43727\n31681 77587\n14146 53197\n67805 89946\n9259 95253\n52175 61634\n21064 34807\n35767 64737\n70370 76004\n36554 85566\n4805 40703\n27632 34466\n39837 42536\n34955 81943\n67625 83709\n11155 58710\n25098 72923\n68010 79491\n81257 89191\n46832 70160\n36799 74103\n24086 32394\n40524 84195\n28923 44204\n14584 99160\n9339 12490\n24462 45154\n37624 85538\n17408 67252\n33376 82229\n47099 84532\n7425 78273\n12068 99434\n51601 86953\n24368 33448\n18580 72066\n47030 91243\n37168 41690\n32175 97789\n36903 65762\n195 12499\n5133 76938\n39947 78612\n43214 47366\n30271 40590\n9378 67992\n24136 94236\n17364 88641\n30729 65896\n14357 65492\n57323 76996\n22929 26922\n1853 60769\n21852 95708\n41973 52320\n40808 48065\n49655 88210\n10530 92416\n27697 95157\n5124 49192\n66732 95633\n7078 13787\n9170 92877\n3091 32130\n16014 38615\n24488 61372\n9956 14016\n72832 90145\n45864 61800\n46062 84113\n21723 56116\n64193 92034\n32250 81141\n50514 92207\n26841 38260\n18234 93315\n5608 97817\n30726 43201\n83391 99701\n91023 94526\n10161 76833\n49136 68264\n17482 19239\n24938 57838\n8054 45241\n23385 92497\n58912 95263\n28991 54495\n46520 67331\n26540 71964\n23942 36737\n7076 91623\n3458 64882\n18017 50540\n77959 79206\n37805 79871\n59009 89795\n12278 45443\n44051 90884\n37701 85148\n2831 53435\n45753 96748\n32708 98165\n8125 95794\n19474 40168\n40038 86147\n36407 39559\n29924 97852\n59310 98154\n32137 77651\n1877 2032\n24857 72230\n52489 81089\n19737 74106\n6256 60648\n10608 46088\n53511 55947\n23765 69753\n30475 64287\n55535 65890\n16774 47265\n45413 84493\n71242 99041\n8052 75555\n25445 27727\n22257 76041\n34731 54029\n3517 44808\n3270 67437\n49087 91211\n21891 88552\n68125 87538\n67221 93149\n33216 56239\n13676 89558\n31671 97320\n48285 61930\n29047 44757\n31428 61237\n9947 85739\n39769 69924\n50942 85108\n78352 86559\n27547 99726\n54085 77948\n37 94807\n71777 73243\n19090 20704\n19930 38228\n17956 53329\n87933 93844\n48357 50188\n11322 84513\n4114 27720\n38485 46487\n90132 99374\n64358 83273\n18964 25051\n3980 8197\n18711 28325\n39186 77922\n29834 47355\n5862 47295\n30795 42328\n47114 53331\n75489 97446\n21546 61591\n24050 30639\n18747 70183\n67507 85044\n39982 66670\n179 91178\n29490 91222\n9489 19945\n42114 46994\n86505 89982\n37915 65032\n21399 62370\n51499 70395\n1959 60169\n15748 98301\n22982 57451\n67954 97625\n22457 23143\n42736 72846\n94410 99866\n55212 93776\n4189 99425\n17492 85988\n82742 84406\n7934 80843\n10652 16730\n52506 66554\n45188 97003\n41411 70832\n51493 99942\n76623 85440\n60680 82377\n66453 92589\n34908 45910\n35113 89122\n32615 37498\n37230 58131\n22564 40628\n40793 88041\n49611 70861\n1156 72007\n58050 89108\n43630 98643\n16224 68083\n46273 98796\n19030 35794\n11080 21534\n52632 85071\n54975 76453\n50970 96878\n61452 68454\n38767 54226\n21252 58631\n29138 44695\n77024 92012\n11297 42678\n4350 74006\n5173 58792\n77244 95384\n25651 96991\n23 99905\n1364 15258\n45158 51076\n64104 64423\n19936 69275\n84017 99956\n20084 58847\n40484 51817\n35692 79379\n32239 58620\n29660 85742\n72513 82960\n56242 63888\n72576 84479\n27060 84546\n35815 79623\n84987 87927\n21535 31163\n5296 83248\n14161 34868\n47474 55530\n39811 56791\n71502 82996\n27094 78207\n85715 91768\n24418 83401\n52542 72365\n37097 74277\n61019 98405\n28470 89696\n28191 57279\n940 17309\n34711 85138\n42208 55155\n5158 85146\n58423 94924\n29612 65111\n7151 54797\n64559 84280\n11963 49746\n49685 59329\n64029 77125\n5259 49199\n13257 56916\n14866 40751\n5831 71613\n87363 96731\n61949 81525\n20470 30500\n66826 79013\n55694 56299\n14115 19866\n4172 82002\n75315 88582\n30015 64157\n18182 68112\n57657 61660\n28154 45526\n34099 42512\n22203 96806\n5487 38713\n18830 73423\n8685 65719\n59427 68342\n9793 83913\n13562 72630\n53195 55942\n56368 70822\n13042 80759\n26356 46045\n33056 74633\n35147 36730\n67323 96660\n6455 32767\n22578 72181\n4617 31761\n54934 56298\n32472 54302\n23583 26876\n18820 27677\n4441 41936\n33156 89906\n47869 49309\n12599 24143\n14974 79740\n54806 88266\n74653 94633\n31722 57662\n64263 80640\n61191 88481\n19416 97401\n11510 71404\n33072 60002\n63764 72956\n56151 80344\n82030 98065\n24944 83862\n62376 78920\n81826 85493\n16198 74186\n10012 33319\n8804 61598\n6576 42709\n5295 33912\n77021 79443\n7707 31008\n152 8241\n24112 25445\n49512 53425\n21270 56466\n41075 97843\n21183 23624\n68126 97715\n44762 86678\n63893 89769\n19400 74791\n12044 15223\n18411 40169\n45254 57353\n18990 62197\n15823 54407\n16374 19399\n27976 82034\n61140 69902\n58296 67298\n45742 57176\n2985 6919\n66911 72495\n32174 83595\n69633 95070\n30511 96146\n56592 78204\n8689 30958\n1503 61907\n63250 85769\n37109 45095\n14330 72156\n48727 96788\n19484 72208\n33991 67400\n18060 98384\n28428 86492\n12051 19290\n89027 91146\n2536 77371\n42774 65543\n20370 87001\n24653 94150\n80448 91818\n39115 70673\n63931 83060\n18307 63091\n2987 97466\n46170 85008\n9215 20744\n58878 73542\n25259 69003\n13999 34102\n60044 85837\n16103 31446\n31860 52193\n75560 86418\n5172 6967\n10039 87876\n46358 53769\n26818 61848\n24261 81039\n11805 72309\n38464 55053\n93447 99188\n1911 7849\n1681 34507\n3054 17530\n292 22655\n29579 73013\n16428 70655\n66584 77676\n74460 87109\n6925 66648\n90433 90626\n97575 97678\n89741 99213\n9433 24966\n36895 94173\n34456 76439\n34730 83039\n24485 32147\n22756 92531\n69149 77267\n56945 63492\n34448 81762\n6799 46180\n8033 67561\n66657 94234\n13295 40997\n44957 51901\n23400 63677\n57866 88154\n21444 81299\n33957 73274\n12244 14835\n19861 25529\n19592 53351\n17837 79127\n6369 22515\n28541 58518\n13972 78006\n36558 52930\n5051 8023\n13437 24852\n23298 90072\n5068 49926\n31291 67746\n5526 69129\n56113 67419\n2707 51235\n362 74035\n70773 76720\n535 21178\n47562 91773\n27891 71775\n84851 92142\n28754 44305\n65065 82533\n20528 43055\n20956 65124\n18912 24746\n41724 59915\n18084 47590\n66781 89058\n67033 97908\n17752 99970\n22030 98002\n72211 84752\n41861 57689\n21666 98359\n7221 19087\n2353 38583\n6041 71554\n18061 19869\n51816 95029\n31341 96137\n34231 81835\n55774 57662\n11794 20616\n22846 34538\n17610 85050\n5946 20805\n16934 77603\n56074 74553\n21196 80895\n35751 70284\n37496 43092\n34960 62406\n11100 77539\n35632 81691\n22746 89211\n42910 89855\n24973 87225\n29301 95909\n128 11143\n25413 65399\n17462 58475\n23597 59936\n50299 59203\n66571 89758\n31061 64014\n23565 40612\n44841 59655\n38626 96725\n15175 57679\n70239 88241\n32796 66466\n44642 76950\n68269 96861\n8198 53534\n27280 96083\n22069 97276\n21842 85867\n48724 56403\n6423 17851\n26601 40799\n9084 71508\n35042 48025\n38677 99021\n13614 63929\n31268 36412\n6398 36526\n43316 54917\n15375 55168\n21211 70176\n8296 44114\n28296 72245\n34395 60663\n62922 78814\n61523 97274\n55151 85026\n47706 82155\n56096 71848\n51038 78571\n81958 99518\n31113 69647\n620 81757\n46030 74998\n95537 97005\n13019 25407\n49638 83627\n47883 97206\n24626 50270\n43488 69411\n48855 55454\n2516 36277\n38021 41288\n4022 96772\n58857 66545\n48596 79247\n31397 31669\n14060 48308\n40636 52064\n68867 72507\n29257 51533\n43115 65929\n1370 57406\n7474 82719\n26153 26627\n2397 89087\n8163 70463\n18666 84196\n18618 52272\n8763 79183\n4144 99021\n44052 47800\n16077 19057\n10254 38400\n28292 88871\n37107 89114\n63224 72258\n48255 75258\n27308 92145\n41312 67743\n23729 71133\n42171 74767\n82239 98456\n474 67156\n29292 47998\n47252 81508\n13744 26854\n80171 88510\n56626 97359\n23610 30445\n29381 57922\n9101 14330\n44806 70434\n33665 99215\n8322 12075\n80155 88034\n59811 69262\n26034 75959\n62882 74546\n8679 31921\n75649 83564\n8554 10555\n17050 23619\n18153 81230\n9219 85887\n1274 17300\n3073 97801\n17275 42287\n55994 68487\n17106 79029\n42236 46606\n40544 42101\n24282 97989\n16438 79589\n64956 87252\n34570 44993\n6821 59602\n10215 68357\n16900 66121\n4522 49104\n19046 34898\n38802 78700\n15218 48055\n59160 80402\n29048 58095\n52067 57495\n36397 45817\n80179 82595\n30167 41713\n13227 20694\n2625 31322\n76052 78467\n87163 96661\n31484 94704\n18940 62731\n16591 85096\n48978 71182\n73917 90466\n51665 66601\n79000 79014\n69239 85496\n63503 91336\n41917 46064\n32475 38501\n54361 78850\n54005 93790\n58877 68617\n41826 57766\n48629 57891\n67627 98727\n12366 26886\n63964 68884\n37620 80102\n32461 84450\n37838 94486\n55672 57970\n40677 55804\n54229 90705\n49015 86298\n66387 92038\n24314 69278\n45939 96474\n24696 61203\n31740 59238\n40055 66395\n32689 79775\n18123 25256\n43581 65263\n31004 92723\n21450 82170\n46558 54770\n27699 38843\n84697 91710\n63089 63775\n22778 66379\n10854 38418\n25519 82495\n11673 15148\n17319 79744\n44637 62363\n20198 23644\n46444 98021\n22258 42827\n45658 49491\n55604 89234\n42212 49828\n86167 93237\n29963 79628\n89935 96912\n55923 77347\n23152 64982\n36399 74612\n12700 33574\n46292 59915\n6486 38573\n53157 81873\n18877 62228\n31263 43230\n32307 56813\n9064 84880\n38353 44264\n25723 73832\n11167 26059\n34983 65525\n82419 98162\n15414 25792\n31315 42157\n7904 18016\n20102 94931\n48752 97009\n30055 81862\n7843 42264\n59651 71657\n8238 9320\n2685 45897\n4548 89495\n2231 95278\n73576 97261\n55149 57587\n28204 54305\n20542 43577\n5618 41221\n9417 71899\n15132 91791\n24794 27414\n56613 94387\n86617 91635\n25552 87027\n63389 90356\n61109 88906\n16640 78851\n71864 87161\n24294 52941\n15827 54687\n74313 85604\n3415 36949\n16321 28128\n51661 85789\n43604 51274\n29715 75311\n26350 82688\n3517 24662\n17797 34263\n5151 39892\n35408 45975\n17402 80680\n1427 14784\n12147 37341\n8668 36006\n15845 57413\n2615 90396\n52501 88932\n12933 82087\n49505 58680\n16964 59533\n50159 79796\n46833 59362\n3647 96661\n73877 77641\n34574 55138\n825 76730\n26129 50175\n35467 66837\n10000 91227\n32207 93662\n11563 88426\n21828 57154\n80504 88551\n50438 94583\n15882 67132\n14046 18273\n42257 53261\n71083 76362\n48924 66514\n11257 86250\n24508 25903\n31146 86354\n6750 84393\n48107 85875\n17823 37633\n23583 78799\n7606 71103\n50431 69755\n37806 80991\n26827 92614\n16592 97296\n34435 36475\n10565 80188\n25270 69572\n60433 71313\n24082 50889\n7664 15205\n12841 67811\n41205 55297\n18906 54707\n8267 11063\n29188 61513\n24294 74783\n65011 69655\n27228 62101\n58354 90108\n37230 47288\n14885 73544\n61730 84707\n35572 67384\n4833 58457\n81442 92715\n2200 19023\n51952 95508\n28769 36025\n30264 83179\n11389 50006\n24164 86880\n18504 87832\n44833 75554\n97560 97792\n15856 28628\n3088 20396\n57027 66889\n2856 18145\n56940 76901\n22020 56433\n66988 90049\n4411 59683\n44076 53179\n27647 55992\n49361 74052\n72801 89111\n14603 42190\n67609 85655\n27034 74945\n88701 92342\n62763 72606\n768 40965\n91307 98026\n15966 63876\n59694 74518\n78885 88869\n55834 89032\n10802 66384\n46303 74423\n25102 39954\n54096 59285\n39909 88262\n55620 87852\n26061 27630\n3400 26121\n32527 89954\n69344 97265\n20546 48554\n2255 89007\n36897 46923\n27206 63836\n1772 47140\n22104 94868\n21936 36847\n2941 48524\n38675 80685\n63223 90689\n18452 65025\n42929 66630\n57113 86194\n59335 72069\n28472 91014\n15665 48229\n47881 70833\n54311 86106\n33044 71947\n26450 41255\n53790 80636\n2601 25472\n7829 85601\n28535 29879\n16168 48294\n16445 27294\n5232 44416\n8461 64348\n59436 95305\n23399 69910\n66351 81009\n54808 86589\n22518 89432\n21031 92571\n80852 92663\n54614 84275\n70390 91597\n26451 85345\n39854 44550\n50990 76346\n44739 76689\n43032 82935\n70730 83928\n31118 47586\n39422 60526\n35695 49776\n10645 59292\n76735 88843\n31352 55277\n19853 62397\n35055 99033\n49267 79651\n48871 90399\n92012 96853\n76722 86553\n6350 26115\n24189 28945\n9428 10204\n65586 88586\n53309 97557\n24252 29669\n7074 21040\n12441 40483\n29288 78906\n62138 82093\n55148 86242\n56415 78892\n64206 66295\n53423 86479\n18151 29922\n38677 78108\n33246 71660\n69283 72764\n53031 96995\n17928 55768\n17775 97159\n79309 83884\n8121 21415\n24454 39197\n35950 40550\n16723 91699\n10009 29313\n12216 91770\n54135 79597\n4096 51989\n47688 87826\n25194 59802\n15311 40171\n14872 34153\n21539 89347\n35360 89413\n46375 97787\n27290 72511\n2889 11564\n39460 84101\n2558 32804\n65056 76982\n10542 37189\n28236 72236\n16102 29280\n24310 30271\n55954 58417\n54696 64979\n10665 65935\n20789 77890\n1245 79822\n47668 76983\n84441 96625\n72402 85282\n38669 87094\n25019 49767\n11722 64944\n64354 69056\n78093 79026\n11427 20906\n40190 73587\n89625 98448\n8225 9401\n50381 87788\n12784 40156\n89077 93460\n6195 24693\n20996 37380\n30190 81846\n9491 22991\n3007 67162\n1146 99465\n35626 94845\n1415 93200\n12563 34780\n16799 81701\n5288 93125\n35571 39303\n6889 39469\n54646 55735\n53086 70840\n26793 66089\n6061 72168\n53415 98472\n14092 84708\n17018 89191\n30539 87372\n60531 79634\n71423 77424\n24385 75273\n23339 48932\n56913 76870\n77596 98638\n12602 18195\n32085 68411\n28809 48834\n9203 65826\n12544 30320\n62349 92737\n3202 41944\n2743 31206\n32283 46875\n2719 51023\n34980 82397\n8188 51132\n33177 73078\n4495 70125\n64230 87576\n18335 18630\n17064 23400\n60322 97801\n44310 53304\n6246 76134\n61432 92956\n47225 54275\n23788 79851\n10658 13535\n66611 78951\n15469 65626\n78905 84339\n35252 50588\n15765 65539\n42447 55219\n5011 95409\n56442 62763\n23638 59917\n21284 80202\n55981 68428\n47369 74421\n33875 83691\n29749 36121\n83728 95421\n86740 93217\n7765 79858\n63137 87194\n66638 71128\n38860 94140\n11515 62565\n9019 56902\n77041 94590\n74429 76102\n87709 94422\n76786 77055\n50718 90177\n32769 84109\n3069 30133\n14778 71190\n46946 61243\n67183 74915\n11166 51725\n79814 90480\n56623 82124\n20930 69813\n77020 97441\n8284 46150\n18201 47721\n23770 79887\n69042 81196\n46977 66960\n15217 34034\n21312 50202\n25612 67243\n18632 39852\n47050 74223\n33154 42002\n69043 76971\n8503 41691\n8911 28109\n3795 13504\n8626 77251\n47141 60116\n852 81219\n11608 32477\n35354 63144\n52532 58277\n38082 63813\n42714 79896\n31777 38093\n15608 71850\n3959 62831\n51208 66359\n33752 34904\n52838 59367\n22333 92662\n51708 68803\n32852 55360\n72036 96816\n2567 45745\n46853 52429\n6576 31969\n14996 34206\n52898 57932\n5481 86659\n48755 94379\n42683 71328\n56995 67679\n12314 13921\n49923 61002\n42592 93781\n299 52297\n12499 87299\n25158 83989\n59196 62091\n60302 78519\n28148 75518\n63378 99618\n15201 23299\n1930 17862\n15781 47775\n50525 75485\n8946 72638\n82261 86866\n75032 96762\n73298 98363\n1987 38089\n37385 77883\n61973 69486\n55015 69214\n47591 99008\n34813 72245\n6678 24763\n9116 89948\n38083 41680\n48310 52053\n2805 35448\n4762 65601\n33987 55669\n23031 94633\n6811 78483\n71230 94121\n4990 9259\n29014 44894\n58752 61800\n28327 92753\n7523 73257\n51651 71752\n30999 64376\n32846 63192\n7110 12483\n18717 61963\n57259 59895\n60959 66084\n52304 54177\n19157 54942\n70899 87077\n70010 73470\n85703 90189\n52794 94641\n46111 71379\n26196 44175\n39814 45835\n2852 52400\n51673 72149\n67583 98072\n50784 58656\n2738 67619\n53525 95763\n1779 5493\n2820 49655\n29140 59013\n21216 81521\n31308 84687\n34615 92522\n10228 29800\n24759 53492\n15546 75435\n28593 94717\n13638 28029\n45917 54843\n49591 99458\n4972 66423\n8444 96198\n16955 24120\n36813 89657\n85179 88516\n56639 69824\n32223 69626\n1765 85607\n11553 99319\n72603 86811\n37642 42410\n57335 87711\n48757 70594\n18315 83397\n25503 64228\n6301 57478\n50666 88033\n42883 99596\n50814 72771\n38655 59524\n32306 58474\n25545 49551\n3837 49105\n90568 99066\n69959 79708\n1632 14679\n9311 32025\n8552 72450\n38820 86314\n4628 13481\n11878 95751\n19838 41360\n11239 86294\n4874 24948\n29616 58411\n22863 70336\n84454 89406\n4069 94984\n157 52729\n6875 54903\n4168 70122\n27878 93467\n43702 93778\n4857 59373\n22400 34609\n52602 67738\n43061 70548\n735 20424\n49782 85811\n26093 57305\n53976 84041\n91860 98790\n1527 10433\n7475 48038\n4538 52906\n29095 93695\n23686 65809\n52427 80716\n48312 54705\n17232 31835\n19368 55961\n26975 64374\n16381 58579\n8625 20235\n41055 92228\n26618 68544\n89825 91472\n734 34674\n41045 91910\n41030 96521\n49189 63371\n2668 12294\n21571 69108\n48907 70369\n3200 26319\n42 42747\n32507 56896\n58182 95590\n40315 54838\n56749 67646\n31961 84521\n41721 41789\n52232 91216\n36037 86744\n15067 67010\n73308 87777\n26420 74763\n26731 50157\n13713 80128\n58960 80556\n54711 71168\n58905 59399\n36316 38420\n21471 42376\n45992 67777\n8001 43614\n37885 82229\n28320 82577\n81647 91497\n14806 33389\n4004 53377\n8389 29984\n6459 76059\n3367 88107\n70249 78777\n34490 70445\n27921 42580\n41695 86679\n423 11896\n47502 96092\n15353 39543\n68726 95795\n20602 53723\n8350 8620\n83646 83698\n19209 20514\n19057 66241\n45756 87054\n30232 71480\n48741 88908\n15892 16795\n79231 99620\n32134 98304\n62647 99748\n30901 78204\n33513 49783\n32722 65844\n29924 49272\n9012 32087\n28524 74001\n28204 52041\n7913 27882\n62930 94118\n56382 65439\n71694 84224\n39909 75481\n4007 41445\n5592 53331\n37776 84007\n91436 96934\n33097 73511\n22357 92973\n31782 49170\n11389 18622\n26128 97759\n2025 35435\n24598 64817\n20372 89316\n8372 40751\n51424 53416\n5106 95470\n14464 41155\n88277 93563\n8214 65219\n26897 45834\n45200 54845\n9820 89142\n5667 48114\n19897 67099\n9395 43870\n70130 83403\n69174 91067\n62646 73664\n18040 71968\n6693 44900\n49903 75799\n11646 34279\n21820 79078\n48788 75803\n1870 49124\n40470 82034\n1160 56586\n56402 71830\n69530 79188\n1477 27338\n31048 69106\n2737 43527\n31610 85819\n3663 31699\n53334 53538\n27894 53681\n6992 63711\n89123 99199\n33331 53262\n24288 62945\n14253 73152\n5136 44829\n6479 95013\n52565 97149\n10688 32680\n62098 79758\n13364 50180\n22805 23139\n24671 33846\n19006 61370\n1149 54284\n30202 49908\n19667 95426\n15220 62140\n5908 32601\n30226 57150\n30045 59443\n66558 98830\n27504 37274\n29580 94620\n74220 90605\n28249 96945\n6389 79374\n8736 13919\n8793 52678\n35874 94134\n1496 88481\n32005 65338\n76995 96108\n38768 45668\n30243 97441\n43855 50271\n43160 69404\n50490 67131\n29289 84970\n34204 48966\n40855 45778\n21914 43854\n18624 34632\n27619 38849\n2332 4107\n4140 77749\n13224 54158\n14243 57528\n2945 85616\n50264 80681\n9390 55361\n14861 46759\n54 98817\n21693 36024\n37514 88243\n52572 82190\n60506 67052\n8860 18775\n61033 70829\n8347 54324\n92084 92923\n72321 80065\n55897 79000\n34757 95834\n7144 56285\n11243 49518\n76778 99198\n19576 87522\n21744 92333\n11232 29398\n74809 83208\n65306 86563\n58957 66491\n8168 80773\n8272 37698\n65303 81116\n65356 74546\n43342 73514\n37701 99304\n76652 77844\n36994 46302\n14691 20491\n36059 62989\n16733 68605\n44453 65839\n6289 87808\n27042 27271\n34002 83057\n27933 42830\n9428 64853\n7802 58698\n93909 95971\n66967 78773\n69565 96293\n52532 85234\n34105 79106\n50809 81891\n11413 22572\n29933 63149\n54459 85999\n41288 45324\n19695 73875\n73913 81340\n42962 63941\n585 93846\n12519 67950\n47848 68832\n48788 69129\n4036 91052\n84301 93696\n59109 61459\n150 83080\n33728 77353\n31352 32228\n60478 65439\n70283 80722\n4814 63949\n1915 61888\n119 78210\n6613 78284\n27185 69620\n36447 96066\n1602 63331\n14783 43276\n15997 78253\n23217 69412\n59180 73977\n45444 83465\n68098 80108\n4333 21469\n14131 88132\n41806 91069\n84205 96916\n78986 89259\n17416 71049\n38134 46254\n1928 92405\n28264 65965\n10752 27606\n23937 48658\n33394 99676\n25131 55268\n85077 89379\n8058 37423\n3063 90121\n1307 94561\n14399 64682\n49123 82719\n4774 50236\n49182 50001\n60598 78535\n17897 94209\n2126 72764\n22841 41698\n86548 91609\n22592 82907\n31805 79180\n57375 81584\n20231 38907\n21822 72381\n41973 42270\n79938 86936\n76682 83458\n15665 89228\n15419 38354\n14604 45070\n25183 84434\n29616 55368\n33873 44418\n58882 85229\n48171 64142\n29350 85294\n11610 97359\n19573 21225\n1101 39451\n25978 95552\n53706 83611\n59510 79077\n42379 58312\n59910 83167\n64728 91221\n24952 89757\n29228 43183\n58234 64558\n11683 70480\n6183 40307\n36025 91632\n44092 48797\n4139 71227\n53871 95417\n5928 67527\n84393 86564\n35219 50146\n44115 45593\n36664 43105\n26014 99880\n3253 15221\n8220 52798\n685 93515\n5569 98334\n20259 93430\n3085 32918\n2102 4523\n84708 94325\n11629 23349\n20075 44005\n32767 94533\n51180 80630\n42949 62337\n24197 63172\n22955 73341\n13767 20503\n45144 98700\n19718 79810\n3891 15891\n69424 81086\n36477 56505\n41181 75590\n74529 88505\n68849 82360\n39172 85722\n75794 81010\n34985 80353\n42853 51436\n21403 60199\n9210 82612\n1432 29047\n6480 78213\n86316 99968\n37724 93620\n46529 88234\n87818 91854\n835 51292\n24477 90763\n3994 96162\n49421 83222\n34542 39767\n2344 11608\n63035 70601\n27010 66769\n25139 91504\n82878 85200\n48563 68900\n28253 55408\n38551 64768\n54177 73128\n17589 71567\n18153 39229\n77063 88586\n70963 96107\n78327 82252\n36857 73988\n24013 84380\n43140 91611\n31766 75366\n22781 75839\n12580 53942\n28440 74985\n30324 49139\n19059 78885\n84472 87966\n48899 57394\n21496 39652\n57926 66395\n41333 78642\n31772 63954\n34424 95224\n11488 79520\n5642 95170\n3775 75326\n19634 93634\n13002 62084\n25471 71153\n54339 68272\n48297 80456\n45763 47025\n34636 89318\n28268 97309\n19558 64738\n73194 93495\n70664 92641\n54485 78577\n51304 83392\n6885 36408\n76338 89019\n28603 32700\n48041 91119\n13607 88664\n41105 59058\n42816 90567\n28401 99193\n18662 74803\n6631 60940\n42775 71423\n12658 88295\n23575 52675\n35819 95376\n93120 98749\n3681 27221\n33042 53737\n7115 95787\n3322 71323\n90533 91752\n33505 67279\n25765 55427\n33342 87987\n19732 78739\n81516 85746\n13251 61593\n47989 56030\n68197 74280\n61782 63714\n34802 44027\n14425 75070\n44649 85820\n9266 83002\n4539 96555\n4742 71165\n9482 10765\n44112 88550\n58763 86655\n3470 10914\n52913 88087\n4901 79706\n1684 73463\n45681 98697\n7992 13363\n33293 55377\n36875 75855\n203 2803\n60519 71036\n17558 95534\n18887 79205\n39372 50484\n4711 44504\n43547 48508\n2716 69097\n38189 53132\n89655 94309\n9103 41383\n85493 90310\n29220 59496\n57952 69820\n23363 33191\n88925 95565\n41084 79511\n63229 76423\n13200 46634\n9628 47363\n18896 62687\n49030 89519\n28912 32104\n1602 71052\n9964 56657\n42273 92991\n9423 76762\n9702 74485\n11464 95744\n371 96592\n12620 32365\n50405 79011\n48495 98862\n38767 67750\n15741 86575\n28479 38061\n66046 87867\n15756 53130\n50259 70190\n51697 72929\n45248 77649\n49450 86271\n21233 38436\n6101 15428\n49444 91317\n61575 93082\n10110 34002\n24530 88188\n9601 27309\n43831 45617\n3234 19563\n55245 86701\n23248 65152\n28429 48260\n12850 82955\n11698 96744\n17621 37513\n35647 58159\n6506 92746\n35275 94873\n12051 41271\n14240 84424\n36621 44083\n15623 62672\n7528 42362\n38757 50474\n24930 74847\n28822 61660\n92600 96870\n90063 99148\n40366 88566\n40303 91086\n11647 49813\n39404 58994\n56703 74467\n73664 89541\n43743 85400\n22985 40874\n17794 30473\n32185 55225\n24551 93131\n48053 97616\n9991 15777\n12091 19512\n8467 31247\n56854 66608\n61413 68337\n34277 44668\n2932 59260\n13644 19755\n75935 93117\n231 56667\n8454 57813\n77735 82566\n78521 81870\n51511 95590\n19232 75383\n36487 70909\n41623 76804\n67779 71456\n3379 75259\n38460 73617\n6370 95139\n2281 31742\n33890 66282\n13978 66001\n20782 77116\n21191 31671\n55501 61539\n9437 13984\n3475 56830\n1959 36947\n46531 70085\n95212 98065\n73867 79598\n38969 49948\n46659 49831\n51698 60049\n26141 30035\n51034 63890\n1494 21030\n16132 42830\n66012 86825\n24629 46235\n39375 47680\n37256 81110\n37805 66536\n3576 52535\n2704 6159\n3691 80592\n3008 52874\n20524 79152\n39932 61650\n79921 90089\n7944 11734\n22232 61977\n45496 72937\n21106 87768\n313 70676\n48607 99632\n19697 54200\n7639 14533\n39179 45848\n18454 28688\n82102 92737\n28831 47715\n14535 63308\n44226 67938\n19295 65021\n9352 35821\n27671 73209\n19100 99123\n39828 51012\n50102 66413\n51464 77983\n30110 95463\n43580 93329\n30051 63282\n75919 83962\n14649 47990\n32462 80791\n47783 81624\n6715 22239\n5263 39203\n17055 44316\n8005 38965\n71863 76888\n41161 55668\n44348 79464\n64902 96067\n59256 61309\n74074 94559\n57528 88064\n43288 68748\n21198 47439\n50654 50785\n17273 94486\n44402 74473\n872 77498\n2952 45085\n36087 52842\n3635 60591\n13635 68164\n20325 53262\n14392 82297\n28567 78293\n86605 92066\n31536 55807\n1143 13978\n48236 50092\n51169 73497\n71404 86714\n48384 84207\n64704 97990\n24545 99605\n14117 30557\n308 8498\n14613 79016\n72281 95946\n93648 99322\n55671 87615\n35945 80545\n18017 30055\n28356 95333\n10218 44547\n35728 93305\n986 65164\n7658 10456\n86044 86791\n66967 94708\n35589 48015\n76619 97978\n37753 99488\n58761 61258\n54129 74448\n35210 45768\n57888 75766\n64897 68463\n12983 94630\n6768 67693\n26701 53176\n16951 76528\n14886 86022\n77226 79636\n15545 98603\n39979 64569\n37017 79340\n36970 37974\n30207 76352\n55516 78284\n28628 35212\n30556 90927\n24183 61871\n43985 93444\n27887 69762\n46844 91302\n14151 53196\n15810 87565\n56192 77808\n57599 85749\n66885 80925\n45305 58390\n76246 98528\n3936 66021\n22371 63674\n19799 61310\n18621 34817\n5670 54779\n34051 68798\n84480 92965\n19024 72351\n3449 93846\n8566 27249\n62135 82363\n11262 56383\n13390 85937\n51732 75286\n23319 95331\n48377 96612\n42589 75791\n3493 63866\n89 49343\n35220 51751\n75883 77574\n6655 37088\n60734 91499\n23674 72457\n13367 67052\n48214 60552\n33992 43469\n34485 89963\n8556 95641\n42836 97003\n10867 76067\n50364 73012\n2397 63430\n10471 61817\n3250 30326\n1340 72568\n89999 96204\n32414 41363\n20771 42029\n17809 59231\n90565 96524\n67478 91419\n164 5413\n4186 81161\n29958 95575\n78291 87428\n21012 43072\n2854 65988\n76504 94638\n36647 97047\n1784 3377\n8365 93763\n53082 75155\n20017 61075\n45795 88437\n34575 60728\n44056 97710\n9934 54945\n77481 83230\n27706 61697\n8217 11245\n56565 70541\n67835 92700\n62932 70156\n55997 83039\n73077 79326\n17989 32857\n5496 30080\n67727 96065\n5900 65475\n33174 74946\n14119 86398\n16012 27621\n51260 90287\n23359 41394\n24063 78300\n17315 37334\n8740 86214\n29883 82081\n35073 68048\n44168 60213\n7170 40700\n52086 73512\n25043 76105\n16248 74073\n2256 95975\n49279 56753\n25262 69850\n66465 89484\n30538 59311\n57369 92966\n27247 30736\n41521 43229\n13964 79646\n35209 84732\n36002 47073\n6089 37802\n37166 40606\n32169 58616\n46150 51301\n31750 77340\n2249 27636\n86492 99528\n3252 75626\n56990 94442\n26060 68840\n76003 87620\n14006 53668\n18784 41572\n26470 29472\n37350 76046\n8446 97790\n6324 62715\n57341 78625\n71500 82927\n23112 32842\n29251 94985\n27882 53085\n30995 55660\n79900 83028\n30239 49586\n58772 79453\n38788 61790\n6544 46035\n21046 42440\n57354 73906\n31557 31990\n64719 66182\n30232 38927\n47436 70716\n4665 10794\n41593 78936\n81136 95754\n39546 59749\n51516 61592\n50406 71390\n38060 76886\n45858 62736\n23332 99592\n58995 60067\n67120 82727\n28820 53732\n71786 83926\n10959 92346\n41666 70745\n13265 57486\n61883 75320\n57270 73246\n6016 79009\n59011 88476\n652 2997\n29325 49057\n15324 41668\n55434 62349\n7688 29535\n83806 97528\n2582 11693\n36566 55921\n79295 92895\n25149 85174\n9573 45773\n81586 91585\n36094 78347\n61264 93095\n14158 20336\n54772 60213\n36550 53864\n21228 39430\n27847 51386\n4356 4614\n15510 81791\n55768 94083\n13543 41742\n13717 42004\n48793 89396\n63953 93611\n9358 78326\n13592 75277\n29316 60433\n78137 93105\n55118 82639\n22929 27948\n3399 6883\n13748 28064\n55052 66322\n35998 39023\n9361 58622\n28411 77477\n4388 22886\n66265 95855\n74663 84187\n414 2687\n17732 22051\n31216 49860\n40674 71474\n11011 22272\n63602 74944\n10268 99240\n19720 36811\n26575 98434\n32246 81041\n42568 69735\n39932 51073\n12832 87178\n1460 32409\n42991 84702\n87493 98947\n41564 98794\n39508 78462\n41715 80603\n7016 32706\n24698 78881\n41344 97021\n48413 54305\n94049 99557\n32400 38956\n50291 53033\n86880 96458\n85287 94974\n9752 11397\n33262 59984\n65799 74105\n28773 89081\n20207 97654\n6857 77948\n31143 56292\n63038 85460\n24625 42824\n20337 26822\n55547 67655\n3439 35439\n85300 99216\n91747 98131\n19385 94685\n6366 60683\n62842 85148\n18500 64710\n70080 98887\n30684 69113\n4238 12232\n19190 89681\n56420 69055\n98224 99273\n91708 94644\n37659 96871\n69313 89399\n2198 3366\n67416 99474\n56650 78768\n2641 9314\n3352 84931\n38158 53894\n30262 76734\n39905 52516\n43269 77772\n22691 41250\n54600 84341\n72820 98647\n37057 41377\n9933 10241\n53512 56774\n49772 64149\n11932 55346\n44838 76982\n11755 61696\n15149 23474\n30122 93271\n49962 52300\n30880 67598\n17476 54354\n16534 97542\n67326 71181\n19378 85314\n40197 63777\n3105 21297\n17666 65816\n18484 61682\n38942 93540\n59888 82524\n70897 97881\n48995 62700\n44700 92909\n1411 55094\n7505 60413\n48813 91160\n10940 12695\n27522 83738\n10037 84926\n40449 97166\n39543 61555\n17059 78250\n21127 35363\n38921 57485\n12288 58632\n29215 68070\n15268 18896\n8776 10321\n38285 55997\n75495 84107\n32742 62517\n24641 31551\n63 87292\n6049 29747\n20544 67996\n49752 78218\n61553 97735\n29657 44434\n38229 50850\n394 60883\n2287 41559\n21062 32578\n21216 42939\n37028 89171\n780 38937\n41508 81280\n58855 64773\n46769 72283\n32613 95324\n4246 72411\n44591 63357\n37935 76631\n15761 58646\n48773 76106\n39751 60138\n54869 91844\n6724 89739\n2497 56724\n12706 80598\n13148 91641\n1993 79258\n18124 92902\n60336 63233\n54666 59162\n38466 86526\n26419 37117\n9857 57761\n18340 30844\n27618 69945\n18980 75709\n53680 59221\n68601 98533\n26142 69725\n35555 40286\n7686 36189\n21967 48645\n68494 82310\n25636 65748\n50467 79676\n36544 84669\n52219 89688\n46909 80590\n45080 67983\n19728 76389\n13878 95902\n51318 68467\n16551 47699\n16967 66431\n15562 61407\n37481 91013\n34709 71628\n51792 72526\n10889 49114\n48391 63016\n78441 88527\n13902 68853\n57884 91850\n6020 33299\n9955 13135\n15781 19218\n38490 43569\n21425 75387\n63755 89834\n27604 68568\n52982 73188\n16100 87879\n67588 72987\n21195 22585\n64212 67003\n16572 35184\n26273 31251\n28547 82253\n63916 85917\n24377 86129\n13739 55863\n24217 37908\n14944 26913\n9276 50770\n26904 75082\n29765 33587\n64682 73426\n193 1468\n33765 36415\n26956 54658\n10033 49329\n36041 66672\n92836 94955\n1260 16556\n11422 82147\n65748 67925\n34633 36221\n448 91951\n64550 98873\n82792 85424\n19379 21078\n34448 78522\n44963 89489\n2913 45376\n12256 25855\n34189 82417\n44132 56102\n7927 79925\n5380 8737\n59974 88461\n39163 60965\n41797 83213\n17110 22340\n13338 52140\n12520 87197\n20257 83179\n27271 67795\n33347 92535\n9633 90803\n26527 34359\n26935 29335\n80447 89639\n54311 76296\n52694 60556\n47223 96380\n69315 70546\n14432 37309\n37539 64368\n34044 72942\n68613 72074\n16854 89799\n20542 52436\n8529 13170\n68808 70221\n18400 42411\n33748 53579\n7191 21282\n40070 51707\n41746 69653\n61332 84243\n38423 55979\n53021 86164\n17526 78500\n30995 85271\n944 85853\n76154 88305\n12520 15427\n23056 55721\n76915 86336\n10239 37595\n81521 90164\n1289 51717\n88484 90318\n35312 62838\n48614 61411\n73137 84574\n28483 52146\n15073 75757\n1901 45194\n3541 48398\n38338 94135\n13054 75529\n43026 76350\n15882 26801\n57980 71269\n57214 68123\n4648 30334\n6656 30035\n59191 63338\n10812 42624\n57318 92222\n77174 77363\n21907 78104\n49089 91696\n45317 46695\n35083 48771\n60517 76669\n23941 54761\n50086 56351\n19978 77985\n33021 43754\n23383 52146\n64494 83828\n7529 25145\n78775 87508\n13110 63623\n6256 39907\n76587 97238\n3812 71806\n11051 61884\n43945 84332\n10363 66943\n48328 59805\n25858 98781\n70257 93706\n60498 67881\n15610 94763\n89629 92257\n32621 78136\n83102 88112\n27113 35770\n3020 90539\n40910 82745\n23092 70943\n18461 78912\n64410 66573\n9704 22320\n26146 55158\n19507 47760\n28387 36473\n26190 41626\n8960 37491\n46461 91685\n27357 57164\n1650 49645\n17331 86838\n48289 62769\n14791 40604\n3616 61662\n23390 99003\n32837 56577\n71159 93744\n38314 54815\n33785 92294\n48698 87776\n27093 81960\n1978 57315\n7137 87727\n35324 53107\n38253 72179\n40173 80538\n27549 59808\n3928 47989\n26007 91395\n4120 44648\n8646 22488\n47764 55321\n12911 24109\n27315 57486\n12327 97907\n81828 92956\n6501 92638\n240 64514\n13986 97668\n21712 92354\n45447 76590\n70438 71806\n13645 80540\n18910 66320\n7633 53032\n81157 84220\n17233 95238\n27055 56570\n44185 85158\n7204 58231\n42233 65806\n13714 35144\n23690 79687\n6252 80206\n53508 77234\n54988 77291\n11298 18521\n98897 99710\n10348 15155\n26034 68134\n54823 67927\n52819 72348\n39401 74142\n6615 91239\n28190 59962\n51161 82291\n52148 63667\n85444 95958\n60596 75107\n40877 41885\n63460 83636\n52192 73542\n47093 92790\n24377 99947\n10122 89413\n25267 85453\n71562 93733\n74320 93477\n45895 94002\n59118 92748\n15329 85545\n13434 21385\n25959 93269\n43518 99467\n90296 94197\n40202 57638\n26603 64697\n6916 59514\n1591 56527\n40650 76807\n23708 90254\n8476 17631\n660 52835\n22510 77108\n6576 82653\n25530 88230\n12347 33512\n25238 95482\n34770 57421\n5670 13298\n16418 70918\n40382 77283\n2616 15928\n75146 78030\n44281 97083\n500 31033\n28172 45133\n32136 77723\n23800 84198\n11285 96273\n7942 73403\n24717 69773\n93065 94673\n5563 39178\n30694 73928\n69820 75142\n10101 40162\n16085 39110\n31954 79396\n54001 86682\n33911 73257\n31859 50752\n6289 92729\n10157 21531\n27051 89732\n20965 50116\n3912 12890\n17421 92735\n30562 33193\n9360 13295\n21122 84551\n11024 13515\n12624 60048\n51567 60641\n61053 94026\n16663 18848\n26186 45368\n64040 72566\n67852 71117\n11139 31840\n48429 75007\n12384 46902\n79570 79957\n21069 37333\n63306 75207\n51390 82137\n33986 55584\n14309 92710\n38170 88954\n96259 97209\n7024 21789\n37753 79497\n2588 79942\n6992 56848\n15435 99188\n10035 29542\n14202 88136\n32545 49652\n44290 51004\n67264 70868\n27884 80311\n19191 46740\n70274 88845\n67232 88593\n47023 79832\n136 86482\n9634 63464\n66637 84212\n50878 80128\n333 1620\n32026 89443\n383 62535\n79934 93720\n23246 51947\n5270 97645\n64689 98602\n15593 17211\n37667 40690\n6006 78952\n23243 55047\n41259 50978\n53303 96271\n13577 14411\n15500 58746\n1410 3475\n71998 85089\n5533 92622\n23446 45976\n34425 75788\n60240 72811\n9400 38963\n34581 52108\n46279 67579\n5990 52712\n51171 67819\n10994 79149\n4397 6982\n17310 50261\n60779 73113\n17663 17673\n7312 22938\n68085 80228\n79058 79645\n33393 81938\n43556 78209\n38540 51122\n92792 93697\n7356 60616\n20410 35727\n10126 56004\n2568 49380\n83792 87513\n38891 82245\n43327 80999\n64272 76650\n27998 75570\n46120 61708\n49408 58833\n19247 42685\n27921 35538\n13194 44830\n79253 85854\n65535 98443\n89615 94095\n51583 82915\n59079 87827\n10545 50727\n31451 63810\n29662 62285\n13752 97789\n63378 74386\n6756 15405\n18283 65130\n32498 88321\n13191 99876\n36297 90156\n15948 30233\n25169 54959\n87470 99265\n65010 69810\n28909 40193\n88488 91832\n32415 32442\n38683 52000\n54304 77315\n3536 74475\n70013 86166\n3458 37097\n72014 87890\n11469 49862\n35581 61394\n59312 91361\n80258 85843\n25302 71524\n738 73534\n38704 74851\n53345 70053\n1082 67023\n23958 47965\n33967 49454\n33230 35020\n6054 29924\n44730 73758\n15885 55539\n24764 32580\n36659 80975\n24291 37543\n29655 46486\n20873 24409\n54081 88469\n22465 52917\n62022 95180\n10878 21295\n64540 88236\n57329 85319\n19468 43488\n84198 95391\n32470 59762\n38377 88895\n906 98797\n64694 79242\n2726 84840\n11708 61603\n10819 57040\n61409 62712\n48082 53375\n64370 98925\n65805 75221\n69760 72374\n56942 90296\n2818 87926\n89450 90069\n11570 38944\n48628 91040\n11781 57994\n18201 69324\n17926 38989\n17966 65569\n23217 61417\n17455 84393\n35626 55465\n878 60218\n32148 68222\n37929 99667\n42618 52403\n21742 34387\n38996 88257\n33291 92129\n80132 88372\n59826 95486\n43588 45614\n60725 73309\n76677 89499\n64436 66256\n12188 15318\n56752 84399\n79952 92203\n70938 98253\n49646 65401\n1074 6129\n18802 90853\n60959 82250\n35872 50388\n18997 49636\n42501 62051\n1818 87101\n43336 94228\n41676 97062\n5110 16202\n50942 59451\n22236 81965\n7318 58720\n1991 63611\n33845 48134\n48478 79443\n23829 82992\n61231 64764\n12850 36437\n32579 56153\n13477 17908\n68390 71528\n18014 92119\n11646 88991\n35042 47018\n8751 92359\n39689 99274\n96827 98271\n27421 51357\n32006 65522\n62953 78626\n21469 80085\n26761 31078\n4855 36727\n60531 95405\n29574 75535\n53136 86574\n32641 46092\n789 32399\n20900 88374\n14007 41848\n14481 71716\n42663 44459\n28742 46230\n18300 42961\n82616 83910\n35699 41029\n30448 94395\n24048 67947\n23211 56900\n4974 21430\n15335 22274\n1794 68646\n18651 27340\n2315 22590\n84744 97096\n33547 54188\n2544 40180\n33889 98760\n992 32492\n53518 96879\n36075 90681\n14784 63633\n6534 93376\n14754 77497\n40642 79936\n22017 75273\n7530 52928\n30060 93053\n44915 94701\n46880 59172\n17059 49678\n81532 87358\n29240 48254\n52843 96450\n17832 57391\n75604 89005\n51636 57979\n4037 10747\n26813 48575\n64976 65634\n23034 35952\n17925 73282\n33566 87481\n28208 60590\n26164 83723\n2386 53797\n77693 89995\n28964 34029\n2575 64294\n17946 71572\n69495 91374\n12306 83843\n31429 60530\n35898 55447\n52906 76339\n25630 59276\n21309 78842\n37150 37890\n45310 97006\n53756 81786\n1165 76515\n69174 71342\n65950 95949\n46001 93044\n43073 82046\n53458 63997\n2849 17538\n5775 26644\n56933 60943\n8540 96442\n60770 61304\n11386 31095\n75577 88858\n36570 74249\n93111 95502\n25259 96215\n37767 98547\n13801 18232\n42200 75453\n75091 79816\n68822 72261\n30110 57292\n16934 79721\n57208 99184\n23109 23566\n50951 57091\n38910 49704\n4736 8486\n9822 32996\n12078 20157\n57827 83608\n47847 54683\n64841 83225\n58311 81402\n31916 65850\n1889 79796\n4343 88016\n83933 99934\n16586 90204\n62646 62712\n72315 91766\n22977 60555\n37473 84553\n7642 52534\n6791 88398\n75147 76923\n39355 61520\n34973 60907\n61763 89397\n49187 64736\n15791 65266\n15479 93052\n3835 70279\n31397 98405\n41037 68917\n13940 30763\n51567 67752\n46737 50606\n27786 60983\n43374 98598\n19857 32636\n62905 91127\n21906 36834\n28274 38337\n15954 54765\n2505 82814\n24514 58844\n26366 46862\n84477 87757\n19810 77594\n7371 75252\n47720 75293\n7373 43938\n26826 92434\n60951 78663\n65719 76143\n10851 96341\n90338 99862\n460 58793\n30296 53664\n50570 88204\n26605 94170\n23033 43268\n396 42200\n60655 81052\n61767 90891\n6887 18518\n1675 50582\n20472 88630\n4451 82383\n48375 56115\n9897 44955\n57740 83133\n27401 42780\n26336 68783\n38607 56664\n73753 93589\n63344 64434\n29282 48727\n81942 97800\n11564 57819\n33542 38411\n9100 75725\n39867 59107\n21615 58950\n15879 28308\n16282 71924\n32221 66532\n52177 68934\n40845 91120\n69991 88680\n35897 65847\n65159 84204\n38892 69701\n45683 47766\n26143 97988\n25614 98880\n30314 91500\n36468 53553\n1752 41398\n38322 69499\n36432 47809\n52602 78185\n48943 65014\n19067 99844\n41394 83649\n27454 74216\n72019 90602\n57493 83466\n39507 50038\n67235 97771\n59198 63806\n26512 26740\n47498 88900\n10036 16897\n5998 20059\n4530 32877\n3505 42935\n5861 43872\n34512 65537\n24755 40874\n4425 46876\n4672 55697\n6156 70463\n17195 58630\n42339 84036\n5828 75643\n30852 81000\n45137 60306\n48615 53194\n10985 96876\n53970 77115\n9354 56971\n8470 17954\n30154 59544\n72477 76200\n2212 34448\n8681 89343\n53780 73787\n32061 72662\n6645 36991\n11011 97380\n77536 85451\n66131 83560\n24902 98013\n89328 90130\n50472 90934\n4869 19306\n3494 71759\n82705 83425\n65656 79163\n41142 56568\n23659 96751\n1960 93507\n20035 50260\n2828 47230\n13128 81237\n48455 51499\n3214 43011\n24735 71893\n12727 61135\n61324 64235\n13853 71202\n36193 86223\n2027 2641\n24640 72206\n21317 52922\n13258 64294\n5095 85639\n44172 77767\n16885 51950\n37974 92495\n34176 43746\n27907 33032\n21339 43667\n2175 23102\n10203 17801\n79193 85476\n12973 49759\n72687 87201\n69050 99257\n58489 74418\n82271 83684\n34225 72452\n56495 98463\n88525 90666\n31024 44462\n26919 65255\n68413 87818\n61042 64713\n5263 68034\n57505 97275\n9724 49340\n4135 22462\n19843 30373\n63640 95009\n26121 90208\n21017 86397\n6238 97135\n6885 61876\n45050 47883\n83832 89279\n35133 83398\n1442 75775\n23527 54372\n33200 91083\n14107 37339\n873 34753\n37572 47474\n21858 90384\n22926 43395\n13303 20827\n30486 59130\n29942 57075\n40684 98965\n2341 49773\n8372 73271\n14121 85986\n15950 19909\n5782 9871\n42638 71503\n58056 69723\n16345 70122\n54592 98706\n44967 60809\n65717 96923\n44538 64404\n43158 62747\n25071 41965\n21886 49330\n46830 73378\n51967 94388\n16981 45910\n58436 84417\n39686 72142\n93526 99252\n24101 44723\n41803 89504\n12624 68644\n29760 82101\n5514 58003\n23745 89833\n65644 86048\n16335 28899\n9227 18148\n1378 75826\n44895 81114\n34277 53448\n33596 98566\n12323 64027\n6830 21203\n29323 64171\n21723 96792\n1239 37294\n53938 71564\n49600 62438\n5230 32165\n33784 77077\n33765 86874\n19638 36431\n12054 89522\n37764 59849\n29843 49047\n48905 78395\n38776 42449\n7977 46036\n53252 86088\n42069 94548\n18373 84313\n8679 99671\n9937 92072\n77030 94925\n5244 76812\n39376 86278\n55244 88257\n24289 25211\n15169 15750\n42073 98483\n53293 66285\n18769 76763\n42092 85569\n50970 91104\n11748 54108\n38517 63339\n86663 99357\n17814 34332\n32303 95420\n19051 40458\n7702 95710\n1670 18731\n7571 46615\n15950 65815\n3219 25604\n6846 71285\n17641 89339\n23475 28850\n72414 82326\n8805 62716\n16070 67944\n1999 95696\n36639 70819\n54113 64627\n54309 79021\n42002 95183\n7251 90183\n6456 54278\n30535 70117\n34946 69288\n49217 85218\n17398 60364\n4894 82456\n18049 98329\n35514 38824\n9766 86840\n46367 82048\n60880 66834\n9053 84004\n48278 59983\n45637 76217\n7783 20107\n20590 23072\n13566 54149\n8162 42178\n28783 86836\n83217 95526\n50130 55735\n25137 50764\n65475 84267\n31821 84648\n10473 52146\n52155 67278\n34459 76598\n40931 70759\n28430 62712\n7925 45337\n56845 80973\n12942 36783\n24494 98916\n47651 55934\n35764 53260\n14000 51288\n17383 38779\n44258 50953\n18732 64796\n8841 82123\n28832 82793\n20037 23960\n16012 50778\n42661 83550\n6406 10290\n78187 96579\n33789 48552\n17748 30007\n3351 59068\n27427 74309\n42084 91358\n5606 5878\n33885 49195\n21465 33780\n51084 54021\n9169 38160\n58883 68384\n268 44840\n19546 77107\n1021 78138\n6212 68781\n14145 82446\n11077 61771\n1611 56812\n53916 78063\n50159 76076\n7151 81584\n24913 77336\n29096 89101\n15016 21147\n50594 95831\n17134 79893\n10337 19680\n10520 84077\n10303 64115\n58090 93541\n24282 27961\n81053 83984\n37514 78459\n76102 80047\n69939 83478\n28635 89464\n703 38245\n21398 47216\n45252 69009\n12037 29092\n2741 24918\n34021 39031\n86664 93434\n46391 58080\n31614 80775\n39678 96457\n50327 65747\n41885 70358\n14130 32053\n3989 87655\n67773 98497\n9 20972\n86251 86522\n42692 57203\n56812 99230\n745 7617\n1996 97944\n37586 77081\n69914 89950\n5419 51538\n72 36907\n25766 26921\n60726 95075\n14351 25071\n41668 96630\n25299 55164\n17355 39070\n73284 86141\n29005 99104\n50304 67939\n92962 98789\n35951 47899\n45453 98587\n52322 55206\n76769 79498\n105 90444\n9103 51821\n70425 81769\n49265 57154\n80433 93880\n77672 92670\n39607 66282\n17262 97978\n15657 33946\n38233 43026\n10246 46062\n1174 97519\n10729 98953\n8233 89041\n43192 75582\n5322 46511\n21048 31435\n41616 79669\n65854 73576\n30871 96851\n46890 78176\n38204 43370\n62143 85779\n46560 46636\n6537 41320\n44959 49634\n32381 88487\n35175 95817\n60295 97326\n21347 56539\n24939 26455\n15219 95662\n2068 10613\n1506 35224\n7562 69823\n58593 98489\n31608 35095\n13913 35379\n50928 80949\n34912 73793\n65500 79432\n14305 57457\n44923 83616\n890 38122\n10370 99106\n8262 57436\n29642 48287\n58778 82176\n32114 48536\n30939 53354\n61055 62618\n3689 74035\n9134 23366\n86650 90688\n493 36557\n40938 59938\n40674 66777\n26205 38488\n8346 96587\n57948 99390\n26255 51520\n42394 99035\n9997 53290\n94692 96983\n10830 78415\n56105 85863\n6979 84549\n12328 21630\n12586 98375\n76424 94804\n50855 97860\n25812 61013\n58136 87366\n2054 21973\n14979 86968\n32279 65790\n1107 93476\n5624 88381\n54321 76327\n5764 28959\n75891 88689\n93574 96309\n82638 85111\n12399 69320\n72590 75969\n65273 96753\n66394 87008\n56166 77225\n45049 74253\n10156 72865\n10577 94787\n18948 95298\n58864 79279\n33984 85537\n10047 48265\n52708 73856\n833 87173\n71581 96471\n2714 78313\n26597 69261\n18321 48723\n26496 63122\n45430 53593\n31017 99449\n27301 85540\n24519 59630\n22867 46425\n4681 88314\n20250 89187\n571 36760\n6306 55309\n26211 86025\n66529 82817\n5429 66176\n85406 90751\n38838 73685\n46056 87284\n42494 44236\n63958 68441\n26041 29996\n28709 98924\n76876 95629\n12587 26255\n63613 66342\n38786 89313\n43771 71570\n78281 97807\n8623 72694\n31202 95237\n17520 91418\n66323 84230\n38672 78102\n56695 93008\n55646 70374\n2766 52223\n9654 68847\n2269 56617\n2824 72807\n58325 83278\n15396 28606\n6243 38865\n64568 78700\n11163 28279\n36773 56125\n23853 50604\n39020 44071\n68612 96878\n20585 23592\n28918 92418\n39888 94874\n4990 85051\n68571 77221\n30808 93485\n42121 56824\n7466 69967\n15070 54499\n45584 63634\n7309 43246\n34528 67399\n62900 78286\n63683 65521\n39097 99855\n43220 77537\n12044 66289\n6587 88552\n4478 29949\n52638 88656\n4435 10666\n59427 69469\n9419 88597\n47923 58851\n32030 76679\n27391 96694\n41235 62683\n68993 81941\n64821 89856\n45175 94732\n4915 7170\n50807 59486\n14383 26817\n17170 73750\n12040 19395\n30412 51172\n21075 98813\n40754 70044\n6331 87103\n29004 34899\n20310 21854\n91009 91892\n21923 82801\n35403 56821\n30332 43537\n64423 71226\n43811 90321\n56383 90146\n8323 90773\n44108 50440\n20737 75213\n57812 76656\n42998 74454\n26519 32008\n52363 87042\n54610 96549\n59070 71242\n1023 59481\n7565 97925\n27042 41837\n20557 62612\n61106 66899\n23574 30073\n21164 28332\n50746 71566\n9024 27017\n7932 34946\n62424 94038\n7221 33604\n17258 77872\n35899 72688\n71705 86500\n1951 80291\n65189 79934\n48260 64140\n81830 93612\n33557 49894\n63479 69202\n43263 90132\n28990 74811\n2364 75892\n73886 78285\n19391 64784\n13726 38250\n19403 51043\n28186 28425\n70553 79230\n13786 73344\n33292 95697\n13529 57876\n31241 50460\n67320 67387\n17339 68735\n35266 79001\n4635 63318\n42293 72047\n56521 93551\n43568 48348\n29405 45376\n24924 73878\n19209 85707\n46519 56883\n7627 74513\n10439 48328\n42922 62990\n6257 43741\n27616 48792\n61117 85664\n1675 22653\n74137 87752\n43638 74719\n40703 65277\n40143 59467\n21378 78215\n23463 78653\n38298 57531\n29342 68464\n48439 85956\n5904 95003\n1570 61982\n22910 56961\n23453 26887\n45321 92890\n4466 74629\n2159 60871\n71275 80860\n21030 88410\n15487 43311\n36141 42662\n42662 80557\n18548 60539\n18617 52752\n41262 92972\n18077 96352\n25387 71225\n85570 86099\n8093 59005\n24335 54752\n41297 41688\n5264 30856\n27229 45420\n25954 38613\n48003 49554\n27089 45550\n19323 48166\n12816 98036\n35501 53367\n45050 67489\n32504 86939\n52925 69542\n5563 60180\n41157 43042\n23253 50319\n13341 31148\n22294 84208\n21314 51138\n47147 63416\n30987 67210\n13343 50085\n48317 74724\n21467 44659\n7406 64704\n87734 93460\n14185 91646\n26591 56030\n6604 17403\n15403 65207\n40430 69767\n31573 80499\n55031 70901\n10673 58839\n11788 31263\n12896 53962\n1038 1806\n33553 43520\n62432 64078\n228 31383\n35877 46213\n22259 49864\n59895 80861\n35055 87112\n48947 75934\n36410 80334\n56333 89482\n9572 94415\n39196 73841\n40051 67922\n9456 88725\n66235 84801\n13523 47334\n28300 54335\n34751 39435\n54350 96543\n1199 67911\n96135 98883\n24586 73001\n65465 91152\n50397 51399\n45117 99023\n1715 57083\n31966 83777\n35021 82791\n49646 79618\n3126 83196\n27107 98808\n19425 78775\n79899 94692\n33666 49582\n1114 81062\n70426 71097\n40970 59247\n60665 82366\n7141 38629\n42571 95412\n18003 95938\n46170 86663\n20146 41978\n59965 97677\n20309 89956\n28837 89651\n40292 86107\n41588 60994\n50377 75862\n13308 71980\n79550 86535\n44741 58431\n9441 60817\n2488 24799\n53083 57791\n40580 75280\n23439 48026\n69459 70661\n27806 69862\n63608 94237\n24648 36647\n32393 91503\n15339 37433\n41965 79749\n18542 43493\n27796 40235\n22388 92301\n14667 48520\n25060 74534\n36602 41978\n10442 41181\n77306 79187\n25747 65991\n20033 66192\n27528 66820\n39018 98576\n37845 98381\n31095 35299\n32491 35704\n76134 98924\n46164 88934\n24932 29258\n82763 85808\n64420 97695\n31744 84796\n36196 92780\n24190 81036\n13202 55238\n34036 53939\n4688 10246\n1720 12411\n37280 72752\n25988 73594\n51464 95246\n74832 81364\n8767 73224\n3857 32567\n2917 22302\n33764 94595\n65899 85327\n31250 93949\n36850 56618\n16997 64368\n72790 95401\n13855 47909\n46905 72807\n4919 23246\n240 58764\n6765 81989\n5223 30656\n16310 53399\n45281 56464\n12920 15047\n71766 91254\n64445 72380\n7277 47416\n59601 74445\n16798 47739\n61915 65532\n13735 86692\n55264 78768\n11275 75457\n63931 66946\n42816 59486\n36574 43366\n41904 63338\n8430 27433\n21311 31065\n8805 84936\n60313 98818\n1839 27140\n67841 73501\n35609 82292\n37436 53736\n46703 95221\n616 65618\n15348 79473\n4213 12494\n46235 78398\n41945 79660\n67223 81914\n76916 93909\n4817 44671\n4281 59496\n70975 93452\n6297 33206\n353 67473\n60606 80020\n8661 21029\n64999 93453\n41266 84776\n35494 68328\n37597 58193\n32244 32385\n14606 76415\n57844 77600\n14781 91427\n5689 18565\n48435 98327\n21016 57566\n10924 74742\n66875 76217\n71096 99660\n32571 84713\n26666 77877\n32484 76170\n62094 75894\n9623 71961\n6256 39914\n14289 40638\n23318 40882\n54897 86519\n12235 94452\n21495 25622\n40466 88144\n7524 85816\n61937 91450\n22998 34945\n31856 43327\n70912 94523\n31374 92757\n13337 78355\n7684 26427\n50874 58462\n40689 79373\n15529 99688\n53682 67156\n17112 83933\n17831 53644\n18930 32662\n11425 25804\n35476 46940\n28651 97839\n49641 58609\n49848 93209\n50384 98834\n78357 80276\n15366 95403\n47586 68301\n14025 39956\n18571 28505\n8880 24579\n6510 8974\n5333 62814\n6317 58710\n38222 52497\n422 52098\n24146 52029\n46422 88441\n53590 93867\n2466 49832\n67252 77037\n10706 35239\n15707 22382\n24127 95410\n4762 14768\n37020 90303\n78641 84441\n51398 56601\n18713 51319\n7656 98333\n1305 95728\n12879 50357\n56612 60461\n15315 62947\n19245 79015\n16236 21683\n12995 25879\n43218 71776\n15858 95474\n78923 83833\n84085 89797\n30598 91403\n38780 40907\n15793 44368\n7717 99782\n39607 88427\n33652 90098\n46313 97992\n71283 73211\n55612 81923\n3426 86272\n86781 98512\n26759 57899\n85700 88316\n7763 73671\n16844 60764\n4183 30710\n47333 94174\n28722 64377\n56681 62265\n15991 39699\n47747 82239\n95439 98230\n53596 55612\n15434 92976\n60937 77759\n2984 60451\n64138 64188\n36724 87718\n14445 41305\n35970 56271\n14777 54534\n73348 99698\n9763 56957\n42368 74467\n63257 67348\n26411 31562\n5709 68211\n81115 87554\n47711 56441\n37285 53021\n48808 89182\n40516 99883\n32263 64251\n71700 78304\n18293 87490\n63349 74501\n50963 55651\n57954 94269\n8369 12692\n1299 10635\n7162 66604\n52158 53918\n7184 69463\n18354 32563\n40668 72917\n20435 50128\n7337 35896\n19349 35372\n57095 95791\n14826 76260\n38491 88928\n35651 36724\n8175 91497\n43483 53253\n37379 77484\n46015 68558\n14048 92600\n38047 92029\n59146 83390\n5502 78275\n69755 82326\n22287 72474\n21920 55103\n60227 85392\n60465 80941\n19265 66429\n45350 83951\n39234 83038\n60966 62531\n13107 50221\n48263 62893\n764 95343\n31457 92011\n925 4232\n10375 46166\n16624 96743\n33169 84484\n64233 78597\n23768 86491\n75860 81044\n19703 50063\n22883 40708\n33327 85445\n20281 98727\n62962 98194\n76120 83590\n24609 89724\n35406 98819\n53606 98346\n69806 70785\n23560 28784\n11667 83919\n89374 89787\n40038 92287\n5925 18946\n46543 49760\n86788 96939\n13053 49592\n10841 52312\n12515 68859\n12171 38049\n41648 75067\n14792 33231\n53981 58283\n4830 97033\n80805 96447\n36409 96470\n17808 88973\n10020 82058\n67241 72177\n58566 77312\n27319 27970\n52061 84315\n28553 67312\n68137 93247\n26750 44175\n30500 39321\n5677 98021\n9884 95910\n37636 98297\n5393 14397\n42569 67089\n37333 77869\n75465 91832\n16322 77991\n1164 38407\n4350 36512\n34784 44608\n72172 75411\n37358 42653\n41118 99643\n29044 95345\n52065 63974\n13948 76707\n2467 8211\n30064 93459\n29988 69882\n14531 15765\n49215 63900\n6014 62901\n63163 73865\n28149 76262\n42383 73643\n28409 49330\n35163 82117\n75010 82266\n55968 95262\n23517 25160\n11864 99498\n77967 97520\n20296 94842\n46625 71704\n19194 26681\n70210 74689\n7922 59839\n21035 76704\n21053 44099\n34252 42436\n6451 64523\n20071 87365\n13565 47027\n36007 46883\n66753 90395\n3243 66707\n7939 87475\n26231 75372\n11108 53324\n25787 43600\n27330 85219\n5064 5949\n11288 44741\n17594 57229\n48709 56395\n32994 86721\n5028 23453\n52110 58139\n7799 39844\n10088 17255\n27990 77576\n4361 37773\n93150 96093\n1568 24359\n35067 46178\n56631 85217\n42331 60850\n2913 44750\n17276 77903\n59131 90789\n57946 83571\n43445 86687\n26642 99736\n65218 68323\n31630 92660\n5076 53899\n45228 73066\n10807 83395\n5389 13651\n19932 82160\n42090 84720\n63525 99217\n37157 89463\n36068 91371\n1409 56966\n9170 88833\n26320 53624\n73722 90177\n30713 97502\n42292 56242\n51048 68053\n84089 91251\n54826 86205\n31184 70560\n49547 70446\n10387 91263\n6063 11182\n47653 72606\n10275 35229\n46280 47832\n18102 25905\n13703 47040\n18913 59196\n12806 94484\n174 49756\n8802 49878\n48446 90186\n67901 95625\n26758 79829\n3117 21861\n48298 66388\n19312 74749\n18658 50533\n1224 97965\n24898 78708\n3313 25037\n36226 99268\n5634 44377\n12424 51166\n17907 28564\n69091 86497\n29462 91841\n11456 94934\n8460 94456\n12259 22981\n22030 55108\n22942 52919\n55724 76313\n44459 69927\n59681 98757\n47811 71128\n5711 64606\n23031 71139\n60797 94204\n76835 94635\n50436 53324\n1432 6275\n57823 90455\n43154 92231\n61408 87189\n39079 58187\n23285 57948\n69410 88236\n3097 30858\n1472 2496\n38336 66678\n22607 40147\n41943 65814\n62735 86932\n41982 50869\n28268 37475\n29464 51134\n39666 60255\n2390 49863\n19029 62438\n41888 93723\n1530 32949\n15771 68232\n10313 69214\n34545 37122\n45575 99439\n33229 72583\n47261 91348\n58716 66243\n54137 67617\n17078 80160\n25770 78083\n23992 59181\n12798 28301\n17705 77556\n2944 7438\n19494 63657\n42980 95116\n15901 84891\n23880 92062\n13190 15076\n43258 86728\n42581 51540\n12739 48592\n47407 66059\n6316 41526\n47961 71367\n28594 65665\n30545 50176\n1856 55954\n6996 23675\n10862 41298\n58084 77416\n17493 20932\n79006 87682\n3166 53621\n53252 74844\n25322 95441\n4432 92892\n14904 21958\n45700 82538\n21924 31037\n39413 72390\n47640 51723\n9707 50389\n8810 41304\n57858 90073\n59301 85154\n33352 70544\n65405 83049\n83451 89822\n67920 72391\n6233 25773\n21777 60638\n33206 62134\n73855 96400\n26765 51248\n9724 15591\n6907 12547\n50023 92797\n32932 41690\n43450 58576\n6334 22051\n65580 98327\n9511 54014\n3224 26887\n60197 63659\n57687 96486\n61813 69440\n27776 28768\n36993 39975\n876 51818\n17799 81301\n66285 83526\n33392 38632\n12452 15380\n57618 94727\n40312 95891\n1727 60989\n22544 99743\n80380 86671\n20550 21842\n5211 75592\n63710 71569\n55818 89766\n3479 62880\n53860 96121\n11420 73879\n39513 54736\n47773 72520\n442 82746\n1207 25992\n21989 86188\n6511 7938\n33249 76487\n42713 78922\n14709 39419\n48197 99916\n45706 79570\n45031 97854\n23336 24171\n6050 55664\n81312 99580\n12954 60701\n53693 75820\n1415 38747\n1280 77767\n12161 95050\n39786 66847\n14845 89116\n50054 57211\n24714 37079\n6872 53612\n24487 27349\n28052 81630\n5209 82130\n5999 61437\n48057 82522\n10371 28891\n34982 99726\n52553 57076\n38511 79726\n55902 87709\n24539 33779\n44293 76354\n12845 87406\n20001 22747\n26044 42960\n61817 95710\n17727 73954\n70427 91023\n40255 80609\n52853 75514\n44951 82639\n16494 33683\n29428 99268\n65180 96766\n56403 93550\n27256 98971\n41942 94531\n20521 70034\n69202 73084\n19235 63883\n64640 98157\n32291 98043\n7719 22586\n12038 93986\n46246 60700\n73499 85351\n74567 75360\n55267 83244\n57700 99327\n4358 92324\n13759 40119\n31317 72325\n6628 32277\n43520 56303\n1299 8237\n28941 43916\n3922 10492\n3278 15782\n31136 87633\n12298 39350\n9235 56460\n73483 87997\n22106 23239\n27981 61103\n52828 81030\n26786 80057\n53838 83590\n26994 97502\n41340 56447\n81945 97092\n48404 92993\n5353 37563\n43987 96641\n59958 82624\n24737 52335\n79292 93176\n60413 78026\n36583 99512\n65798 79718\n42341 99670\n3001 13417\n2270 10367\n3239 22057\n53018 75915\n39545 80107\n18797 54293\n5865 44612\n11667 73472\n21897 48328\n34087 75345\n50121 93727\n71062 78436\n74362 83520\n34808 63424\n50435 85040\n17715 34283\n4110 33877\n44932 66301\n51226 96306\n36485 63783\n11068 19442\n40371 77149\n93168 99064\n47892 84027\n12983 13733\n20837 60626\n26609 55471\n41670 42895\n17974 59933\n53251 83255\n61065 89255\n11993 46624\n14748 15179\n66957 94868\n10381 35564\n39032 41495\n77630 93583\n43442 51036\n44481 79260\n20248 80509\n59524 98283\n11051 71411\n19729 22598\n45496 59913\n48785 78397\n3526 32216\n46791 87744\n53211 61821\n11806 82929\n4654 10202\n34107 71088\n62501 71558\n23978 89413\n6261 96998\n4639 5941\n25159 73339\n67746 89491\n36471 82482\n29730 42740\n27630 88705\n7734 71190\n17394 81962\n12394 37428\n31276 59795\n64053 87591\n62595 83931\n10912 69889\n4974 48272\n91734 93504\n15342 71080\n6282 15695\n27240 30858\n25263 58868\n19386 23261\n26335 80674\n28267 63083\n37468 88367\n20275 66625\n70157 86832\n12877 93084\n55612 68425\n45088 73693\n32035 94878\n18847 25729\n2272 90216\n18175 77116\n52865 63334\n9463 88996\n17702 82460\n2998 73858\n73812 85472\n72931 73357\n17242 49220\n50246 91036\n1436 28453\n69234 76309\n38165 98037\n77442 85486\n16064 28333\n10950 38049\n5707 59195\n27064 34205\n4045 42774\n83055 96964\n44437 91409\n7509 65829\n54692 55967\n19328 77069\n16707 51807\n25256 56124\n5056 26819\n5801 45553\n4188 50670\n39721 80091\n60900 68987\n22323 78895\n14698 66213\n64119 67513\n18755 81154\n9345 22115\n24212 77746\n33738 79609\n1350 40869\n65969 77381\n69207 83564\n77768 83780\n1026 94914\n6896 18512\n33063 52200\n29846 65655\n45364 93566\n44994 76604\n1225 67710\n49028 73666\n20361 88629\n87329 95957\n21055 46299\n33492 34817\n17776 65510\n4383 86358\n9407 78923\n6995 26170\n18257 71876\n65029 81100\n31587 80661\n25661 60096\n70765 98724\n54158 95821\n46450 84907\n12838 65103\n4287 12920\n58448 75882\n50430 88205\n45492 60804\n49086 95489\n21564 34383\n2002 25758\n16917 39758\n9753 86663\n74116 90682\n752 57631\n63018 81047\n72632 79576\n39977 45426\n17085 17996\n40094 56743\n4414 71885\n93880 98794\n28533 67513\n84482 97710\n55480 98447\n56286 83978\n4155 72549\n6460 65314\n12134 33209\n5743 99551\n67188 74601\n73300 89659\n12320 53011\n15777 35106\n14987 51402\n22123 94445\n15675 47287\n48126 87562\n18647 77132\n80643 84509\n22189 52447\n48945 69598\n35395 42613\n14475 98744\n4979 57857\n37478 71156\n63353 75374\n64588 99825\n39197 85305\n21761 72183\n36881 90142\n66898 67505\n53184 70513\n54447 60414\n12829 26253\n24426 66389\n66673 81179\n44326 75315\n91405 93207\n16357 88019\n59803 66871\n90 15551\n49881 90612\n66918 90956\n1481 44957\n37127 86730\n5145 22222\n21699 48768\n6016 11073\n36938 40527\n73027 94759\n33342 66762\n12278 62807\n254 63606\n18274 36452\n5803 78759\n45390 73560\n61352 65095\n27878 65100\n42450 93480\n31576 53915\n50287 63252\n124 39624\n35807 84915\n42107 79949\n6958 96189\n83295 97143\n763 30573\n60580 72853\n14720 92074\n47873 56633\n20904 93362\n37175 42696\n76532 89708\n34922 37180\n11978 42075\n1504 60754\n9843 99199\n2037 89258\n44243 73567\n64632 91535\n23604 80881\n5722 79452\n19586 67560\n18242 63638\n69038 88471\n33603 88013\n35336 50137\n32836 61411\n16073 43909\n34927 46674\n2586 78406\n26332 55421\n36527 68061\n24201 98127\n62693 97597\n269 23709\n8175 42802\n5700 80917\n22978 27744\n34771 50429\n53314 79002\n17502 63215\n12535 63890\n36854 64627\n1300 84260\n4431 78174\n25408 73608\n68920 96788\n35607 73621\n49745 62534\n62182 81432\n24614 46408\n7151 53456\n2844 34355\n2566 79045\n28086 65372\n64976 72382\n128 30198\n56383 65507\n14566 99853\n77653 92053\n9412 61775\n39135 95296\n49534 81308\n824 11127\n12202 87643\n7970 98583\n14869 42487\n26347 98526\n52846 68489\n18462 96520\n69233 93273\n82592 96989\n19929 85310\n27335 49497\n76946 94725\n34406 37839\n14808 62243\n71945 79084\n11437 68708\n62630 70669\n37637 48683\n23306 24234\n17877 47893\n9832 62587\n54889 58766\n41531 97855\n55173 99652\n30953 57507\n8516 40127\n83872 89543\n52616 56251\n77490 98314\n60386 87170\n22763 93410\n33050 85479\n32579 93924\n60174 63325\n81577 83431\n49648 61315\n12794 96077\n733 35137\n57230 71459\n88559 98787\n68171 73224\n8964 69437\n25290 67317\n44697 58898\n4339 65303\n76092 97113\n41405 84315\n25108 96145\n11415 90826\n9300 56070\n28169 80629\n38994 67776\n30184 66947\n4151 43988\n29881 78996\n16757 42442\n26680 53359\n46569 83917\n86463 88767\n31846 65079\n40599 67842\n975 32615\n40545 77504\n76351 89003\n31015 93892\n7693 41017\n1122 41605\n13289 73517\n42105 65588\n4411 75626\n41408 65314\n12881 49844\n41393 98305\n28945 43899\n10393 60504\n24485 81663\n1838 26728\n14878 35142\n71536 78599\n11923 14744\n51994 92289\n2171 81626\n4281 79469\n27712 73164\n57955 59252\n61813 89292\n37085 89885\n55627 73559\n52966 54078\n15549 22545\n51608 81507\n29086 77930\n47727 87656\n58579 84407\n5221 23520\n19669 74748\n7992 83474\n5687 5958\n50576 92434\n87564 91065\n19382 39632\n67217 75468\n77934 91476\n25269 49669\n46949 48127\n56922 80560\n70354 84231\n32489 43332\n71584 75727\n4597 56567\n41499 90243\n83591 86340\n33065 65201\n51827 99518\n18104 39307\n24006 41470\n36160 99547\n45697 68952\n9675 66797\n47266 53705\n32596 84202\n17929 39718\n11652 47352\n73558 96783\n25197 70905\n17267 98404\n12473 51649\n41237 67505\n19465 65207\n63330 73135\n33083 78342\n12703 62240\n16892 17303\n73392 94708\n62273 68813\n30620 48887\n10049 62423\n12214 59955\n14676 87085\n52123 84118\n14910 28465\n2618 16155\n1843 18968\n47549 61104\n51573 92787\n9319 97379\n6177 37640\n39298 63784\n48215 53616\n63560 82422\n12434 45697\n71115 73734\n58576 64993\n9580 94207\n64676 73751\n56625 98818\n23500 90788\n46673 54148\n43531 64557\n13567 70422\n12971 65501\n34273 87106\n18686 91191\n62543 78178\n59820 69898\n34392 68130\n8050 46827\n19798 25120\n61921 62562\n16375 62262\n11281 42795\n41467 42327\n7356 15342\n3745 30433\n11986 72685\n18460 82213\n52724 56708\n53080 94207\n169 15085\n59045 76973\n69081 86562\n29974 30076\n704 30856\n44181 93982\n23709 27179\n2111 48806\n29659 42272\n40231 98138\n22721 71373\n19922 50186\n29886 84298\n17718 41049\n4916 89203\n60786 89856\n25792 62969\n19069 27881\n15116 52460\n13926 90755\n5475 32847\n16572 21643\n58542 96501\n33973 57292\n86062 86067\n12075 26971\n91367 96007\n711 98724\n14732 78316\n16057 33198\n17178 73912\n42164 44423\n50211 65619\n51513 75384\n29946 56440\n3845 12142\n47137 91771\n35230 60403\n13349 82999\n19061 52467\n22594 88278\n51820 91715\n2068 19087\n28405 78509\n24413 59449\n19607 36023\n48502 90962\n5046 39735\n62401 84468\n86000 97413\n13006 87804\n71874 86671\n78986 87274\n28140 72130\n39920 77074\n70677 94663\n15183 94126\n11308 47917\n30378 31012\n20182 67114\n72775 89868\n15635 39018\n27101 71300\n16969 54357\n15754 46748\n56987 85511\n58331 87648\n40843 69892\n52120 74005\n39292 94779\n49905 57270\n24382 81795\n39853 97290\n3262 15845\n45279 52615\n55217 57106\n43328 46537\n8779 12403\n62902 89625\n20193 59112\n79623 80976\n61721 80975\n6754 40258\n17510 98182\n26444 65926\n20886 46993\n18060 91388\n7841 64098\n19600 58513\n10376 26011\n18032 54059\n3733 76993\n47323 48167\n56299 94282\n58838 61475\n43619 85495\n61712 70924\n63816 78420\n31391 65040\n15201 43746\n73594 92078\n12996 56680\n9965 94708\n26120 55693\n78618 93035\n14856 87034\n28119 36967\n34596 42179\n7264 31493\n65409 74630\n21660 80562\n2773 11587\n29871 82229\n81606 98628\n52952 81496\n14633 52577\n74327 97225\n20668 55546\n59765 78859\n30427 59395\n15241 61824\n43713 68083\n25496 80396\n2635 28904\n26347 37845\n25086 66826\n11465 11565\n21123 27796\n82359 86871\n29030 31921\n45017 59586\n20070 26035\n6274 58428\n13173 17768\n9766 49165\n65985 75381\n19125 90392\n2871 29892\n26867 69922\n2830 75591\n59395 65894\n51779 97249\n48921 66325\n34551 47866\n52295 62766\n27793 59314\n25929 34659\n28671 82851\n11176 99559\n49248 56346\n79467 80571\n59646 75173\n74048 88931\n28588 30546\n29754 50230\n20216 39388\n15886 39893\n2710 83626\n20780 81577\n54204 92817\n1821 59602\n58683 96037\n69615 92130\n38274 64290\n13483 73583\n29194 55290\n68459 76427\n62927 95098\n18624 28779\n8098 60895\n63689 73158\n19925 27420\n4734 8716\n8806 41486\n19084 40055\n4063 4360\n61484 66204\n1571 55278\n28549 87372\n16663 93843\n45717 81617\n7364 54718\n50440 85477\n9575 31732\n6212 31207\n42790 72587\n10206 15695\n32474 83592\n19586 38212\n29761 83069\n31142 36562\n12761 34568\n1954 80268\n42985 53146\n4735 24681\n57571 79697\n8830 76344\n58402 68116\n65160 84043\n69702 92497\n2239 71603\n18764 63234\n20899 23042\n29895 69285\n14438 18886\n16919 34482\n1809 39887\n6565 98660\n16964 65423\n45895 53506\n23676 55215\n55804 71244\n1828 49876\n17364 18964\n51795 53235\n80961 91424\n34683 78789\n1468 20807\n74066 95729\n7686 12381\n43478 98023\n36790 99234\n42187 93983\n27871 45320\n56824 71965\n58286 93482\n33671 78841\n19565 34093\n90228 95249\n58084 79201\n24444 40361\n12234 16598\n96298 98095\n81920 85378\n38521 89542\n20244 98552\n78099 91308\n15713 47990\n24942 52576\n39589 76441\n25781 27512\n44112 61058\n13856 91636\n573 96383\n70024 73241\n9958 72913\n24090 41466\n60287 73272\n11839 66361\n8138 95780\n41713 63327\n47245 96572\n12306 22773\n39587 40984\n2203 28942\n86533 98035\n23634 78857\n18143 49078\n26595 79803\n15416 18273\n56534 91735\n27410 33356\n21681 99628\n37832 47921\n24260 96061\n47592 72718\n1602 31902\n51104 58975\n44014 95551\n49832 52103\n4806 73444\n5599 94492\n32738 37043\n31199 42111\n51728 93780\n23963 80038\n11102 35364\n45468 70029\n334 64430\n28040 40913\n47025 85849\n38282 82746\n22160 55014\n9627 66072\n5507 13660\n38443 89767\n66030 92224\n2362 56485\n61655 87191\n18782 66693\n16603 87622\n41365 41556\n59500 90045\n2697 29518\n12647 87744\n35859 77777\n14095 69250\n57727 99997\n73469 81181\n11366 94899\n40561 78630\n41372 63108\n16817 75426\n20027 82077\n49475 65359\n65919 98417\n34297 81858\n77010 85616\n24023 50148\n3646 47555\n6422 33425\n40591 67905\n5744 34997\n15403 93575\n1514 54625\n18597 34160\n38920 88429\n5141 25756\n80225 82321\n33025 53767\n88029 93217\n38416 79717\n55971 93796\n31276 99879\n2148 89034\n31197 56916\n7850 21025\n51555 59089\n60191 94210\n74817 90768\n7213 83960\n37096 96930\n68268 95802\n6707 59808\n23781 53321\n18079 43183\n18393 68451\n28398 62422\n21633 62375\n84190 90569\n14444 61524\n15951 39856\n19010 25483\n20531 70390\n76692 78468\n47715 63916\n66391 84975\n45583 69834\n55840 68816\n3617 93105\n36272 37807\n32922 73280\n87473 91018\n51453 59272\n31401 80640\n933 18939\n31293 59615\n12061 70473\n12734 76961\n38953 96850\n74503 98418\n8043 69916\n53162 93510\n21009 70517\n22219 49568\n8999 64468\n14426 50656\n30538 44704\n52754 91658\n62148 80658\n33576 52505\n20706 29826\n7002 15679\n28873 87177\n32579 58288\n85107 88570\n19360 64191\n5991 43037\n18771 73505\n8285 67368\n6085 12655\n30299 98226\n13416 43670\n39869 87491\n64767 93282\n39875 89332\n30081 66574\n15065 43344\n12989 77990\n45838 52511\n52762 60710\n87519 96356\n18133 32421\n18989 28059\n5967 78800\n15369 51708\n49747 92859\n18472 32770\n64210 85191\n28829 41163\n23505 81077\n77278 87855\n1040 81976\n41941 92325\n27367 75438\n16988 28092\n36777 46301\n9204 33611\n41164 44658\n7297 74488\n37213 40583\n13922 94145\n14065 16550\n15426 63278\n56026 74115\n4251 83000\n54453 93850\n49586 81883\n81183 91890\n6455 35377\n78165 99142\n64806 76964\n68147 75593\n99057 99183\n29040 33640\n41567 85060\n84282 91931\n13196 77187\n60788 83172\n3777 52723\n16515 74940\n63374 94880\n19933 81515\n2391 96740\n85438 91910\n35181 84366\n5629 34954\n5747 49726\n33156 43640\n37980 38806\n30008 89743\n74565 95318\n20487 31056\n76764 88013\n26235 49569\n27248 59868\n54953 61876\n34097 36936\n28703 35251\n76287 97414\n52429 56971\n47616 61586\n16719 39283\n26432 41623\n41213 64251\n14537 66768\n25257 76859\n3023 20857\n54783 95862\n17087 75982\n38636 38941\n2138 66583\n36935 70995\n30805 76681\n7061 18021\n23048 59906\n17556 68550\n18069 59294\n52306 66465\n26372 52797\n6604 17209\n27268 62573\n11814 60415\n66727 88167\n43963 97136\n2249 33567\n46334 72765\n5396 75880\n48731 70088\n41357 68468\n14438 75143\n16644 87640\n1499 49721\n45951 78488\n70265 86101\n33865 61098\n1308 57936\n53991 71495\n19260 46059\n7193 76419\n34260 42004\n5794 42186\n54455 69066\n9715 35285\n27215 79526\n30179 68323\n7067 36140\n26314 37888\n26995 84663\n49647 93663\n53425 58285\n62468 99383\n5241 70051\n2716 66048\n21952 58490\n12125 55073\n17702 97069\n4998 94398\n75618 79260\n35948 90052\n18112 97664\n2659 15535\n24542 46309\n42867 88346\n35004 42438\n24758 90517\n30868 80656\n75174 93215\n30274 31341\n10286 94771\n18205 70260\n13905 25629\n34551 35327\n12584 59041\n25000 34918\n42215 52287\n85805 93241\n19709 66099\n28379 70345\n22777 87027\n12513 78208\n30392 66382\n43332 47871\n37031 43288\n31296 54149\n66757 85611\n28628 84849\n46156 64609\n14261 96472\n55008 96376\n55267 89447\n4487 81585\n70100 85558\n30166 79117\n19390 29505\n52098 68800\n48151 54948\n20814 54000\n19297 26135\n2324 59587\n10226 76105\n3169 13534\n7675 35716\n44377 91237\n21743 55049\n61921 74760\n5371 69810\n43624 93845\n58849 84022\n24550 53111\n16876 59466\n22990 45358\n81445 89129\n21373 88227\n7329 17068\n32855 77056\n36710 76381\n18415 62251\n5211 19539\n63831 84781\n19692 63778\n50593 67442\n27501 91245\n60300 69085\n27111 53639\n3845 78371\n26957 83479\n40962 47290\n70487 72055\n13470 88014\n22125 40290\n42234 62319\n54536 71760\n39481 84125\n38966 39751\n23097 94275\n1251 62757\n59993 75581\n65492 81778\n34569 43525\n44697 84428\n12447 84462\n114 16106\n24898 71395\n57252 94051\n42169 57849\n40133 67028\n83444 99155\n30981 80378\n53216 80182\n13012 19139\n14705 52228\n2790 25870\n16371 48826\n8599 25759\n16958 73902\n14155 53273\n12903 67035\n68673 99683\n16523 98013\n657 75224\n54257 97853\n5785 97848\n4466 80708\n355 42113\n26306 81487\n69838 75038\n24586 38353\n31014 43363\n44093 83568\n47525 65163\n25334 76759\n8016 21547\n69690 82689\n43337 95591\n89846 91018\n95587 99992\n18913 65170\n15203 88903\n59527 80888\n28526 33052\n86440 95138\n11091 83599\n17120 19619\n2037 81381\n66308 86374\n28160 63687\n38022 96442\n54820 71908\n39427 77584\n23437 55472\n32491 88772\n20496 77930\n14602 42333\n25743 90866\n27253 88811\n47614 48682\n60009 93065\n67778 87207\n71756 97616\n61934 92348\n82795 88333\n30172 93561\n6517 95268\n5426 57454\n46586 75023\n70677 73267\n19167 79334\n65020 77852\n22641 72743\n66223 90072\n19550 46696\n91526 91658\n557 20265\n37755 51166\n2378 54595\n55722 77310\n34414 98318\n9218 55933\n4152 25942\n22199 30188\n3521 94417\n1003 85420\n39133 94194\n50662 97930\n12279 84056\n35200 40069\n2213 31948\n5410 41066\n1347 59801\n24000 54378\n53282 73835\n22302 68742\n36206 77089\n10749 61856\n46530 47294\n3763 13311\n4130 84598\n21252 77683\n27066 84436\n61410 72097\n45010 74309\n55522 62118\n40208 49523\n48806 95488\n27676 96411\n74331 95625\n24308 96267\n83874 93271\n13649 55908\n79005 94129\n44763 97716\n72535 95764\n4039 31756\n13408 54330\n20497 99411\n40899 61452\n19232 25121\n20005 88168\n23532 24546\n41542 50547\n49811 50767\n57850 77090\n39130 58956\n5628 17099\n24543 28098\n11717 78134\n6207 31569\n39052 82671\n46428 58201\n20613 87634\n10578 96272\n1328 60957\n78908 98729\n26026 48433\n33542 75986\n5641 98542\n24714 72486\n18551 62422\n28475 51664\n17848 77671\n12026 90484\n45300 85909\n69585 85689\n69210 84238\n40562 53541\n3471 48606\n18310 68205\n15441 87377\n18916 59915\n74140 96101\n38909 59118\n42914 58796\n37121 97314\n7640 81536\n21072 37945\n45812 50457\n64974 85193\n36038 76738\n14395 51097\n7473 23680\n46443 86291\n48122 55288\n35811 64150\n4375 82029\n69944 81441\n22213 55756\n58436 71679\n15577 41716\n37774 68169\n42319 57005\n10516 66617\n14068 99627\n33383 95294\n29805 50076\n16571 33122\n57614 74167\n52985 62547\n69250 89075\n47048 47603\n31507 43031\n37872 42069\n14488 59879\n38428 82036\n42398 59599\n54868 91118\n8925 28710\n4827 24835\n13219 90407\n13773 78793\n56832 84699\n18361 80226\n55397 75656\n77903 79916\n37895 44961\n7295 45734\n15074 74049\n9124 17936\n5136 26927\n24807 90372\n5857 21065\n16885 33667\n1285 78616\n77027 82221\n73355 95937\n23222 52608\n46462 68009\n58724 60470\n13549 30516\n68489 91427\n2249 10263\n43106 58264\n20688 27118\n13805 57408\n45028 80083\n81597 91924\n1543 37111\n75107 88426\n15267 89664\n23811 92942\n7444 10283\n40367 85369\n86199 94752\n23737 75451\n5899 46169\n25318 59054\n40297 78120\n54553 88604\n67616 96632\n11867 99934\n24722 99468\n77595 89318\n19612 52094\n35554 62225\n6622 43997\n64788 70992\n36177 96741\n17227 19137\n66053 84997\n78573 84512\n5568 37606\n49817 78138\n23994 44823\n19809 48727\n39074 88583\n43037 55617\n11228 39741\n36234 78075\n8451 25073\n19210 60460\n5175 76188\n94930 98562\n59174 61238\n26808 94008\n29562 42632\n3632 95809\n47877 69065\n42860 45531\n20777 49928\n919 87371\n7830 35546\n77961 78758\n2427 9262\n69377 74746\n37488 88184\n1405 88824\n33792 96882\n43063 97585\n4124 95005\n14169 49257\n21517 85505\n47442 68069\n30874 63943\n33270 58268\n19476 51767\n59931 79883\n19724 22600\n13563 39951\n47199 94899\n30597 67660\n23265 67860\n72195 85434\n74328 91614\n25420 83280\n48739 86173\n11511 82839\n64590 73262\n14182 49004\n59991 78952\n59230 70562\n33509 42533\n21468 48066\n41433 91671\n36883 57648\n23279 35689\n5969 74968\n15470 60650\n80816 90112\n3694 50929\n10129 28152\n89749 96890\n5328 96762\n64469 95263\n60789 72774\n69390 94271\n20667 58405\n34195 91480\n27294 60698\n40371 76984\n77595 99932\n38901 43223\n37756 98331\n15460 34133\n30762 31102\n6912 8381\n40127 94197\n8153 14996\n24844 47771\n57626 72912\n74607 79821\n33429 48151\n38337 76002\n42276 78294\n63086 65367\n39237 92683\n7511 82181\n27903 52621\n8696 62892\n4283 25893\n17946 62054\n17503 85906\n20405 24954\n7323 71580\n13084 34778\n23683 43428\n3459 80940\n27441 87437\n47686 49986\n16645 81527\n18489 38574\n53137 57156\n2615 87620\n15984 50202\n6604 31705\n52160 99609\n76922 80158\n14265 18520\n27400 38986\n42408 79111\n20698 55339\n13836 27186\n14589 38460\n65792 83554\n34891 68631\n5777 82883\n409 61400\n14144 88853\n14505 14551\n10490 90328\n28775 58458\n46377 67353\n20498 72163\n95768 99626\n61719 85062\n46829 85197\n10697 71196\n10493 52475\n13494 97331\n60566 90858\n31874 46472\n17025 34777\n5954 75778\n36651 73592\n70979 79184\n23052 44881\n344 2678\n17731 92258\n19085 52502\n65432 76558\n10616 94795\n66210 85195\n48686 57402\n33753 87416\n17926 41348\n24301 83967\n25444 96750\n5577 55656\n51867 73244\n48603 50358\n58888 83826\n89547 89582\n23814 31065\n27831 63802\n48210 71458\n21326 37237\n8456 30793\n41512 45812\n52869 71217\n280 12258\n60242 95677\n53833 59966\n30214 73599\n15607 60876\n37661 70623\n46556 60494\n26384 46641\n16468 96515\n63442 73262\n42996 96213\n12882 64545\n21784 24533\n46397 52987\n31704 51913\n23709 98082\n39536 89022\n48455 68518\n23977 61552\n11571 63277\n51898 77154\n89043 90146\n37199 87456\n58088 86588\n71575 89231\n56356 64820\n16575 68278\n9364 95637\n83052 96369\n10971 24599\n35584 95666\n32580 92657\n3784 53555\n13667 72525\n9828 23736\n29223 29919\n2840 44493\n43447 66729\n38230 96313\n25081 86566\n18847 79027\n1780 25745\n46231 80840\n59010 62154\n7063 83882\n13637 26397\n551 78585\n29262 59767\n84038 84914\n57353 87764\n56465 71943\n16989 41197\n52466 86037\n23202 83995\n4695 43664\n36535 85987\n47234 81148\n1942 72773\n31261 78970\n69314 79495\n3176 83572\n24592 69541\n30305 46791\n15172 52957\n37160 49264\n71436 73785\n10565 56433\n84113 92898\n59270 69125\n9545 85928\n21148 54979\n14794 96469\n25546 83206\n50229 93508\n38682 92987\n51586 52280\n7314 70435\n55519 62058\n49048 83139\n17669 34375\n35803 49474\n58916 73227\n44675 89528\n44009 65714\n52126 62547\n28241 56748\n15355 90711\n88571 91812\n55198 59114\n8591 44413\n53279 92013\n73556 95411\n35070 76383\n18503 90381\n47152 80679\n34491 74337\n10491 29094\n38296 66777\n16128 55373\n15673 87140\n33600 82877\n38942 53019\n84247 89769\n27837 56871\n2755 41833\n54761 81350\n42199 84463\n60855 79837\n3094 74632\n1160 61399\n33690 70893\n69804 98999\n30254 51244\n3366 13257\n14265 56701\n3103 20218\n12212 36825\n94208 98306\n18423 53384\n62582 86118\n48043 79961\n48732 57460\n9398 23805\n19584 98723\n14127 75413\n76109 95248\n44506 51787\n18706 56511\n87816 89024\n9878 37705\n43447 63228\n27951 94545\n24465 62076\n20563 87583\n30750 68276\n71595 87143\n28170 40964\n13856 20253\n16816 83779\n25329 33158\n44908 61743\n37423 71394\n14392 52311\n18112 36759\n83132 97422\n37398 58791\n4634 29994\n1250 2403\n44772 94530\n55700 89339\n42142 56201\n30536 80919\n31186 52804\n53180 97325\n25109 78400\n17683 43572\n14282 48118\n87170 96246\n47122 52429\n18637 66690\n8324 41711\n25623 78208\n17040 52145\n7780 63751\n19632 58737\n67500 80692\n30079 64368\n4880 54068\n6058 95894\n38540 68941\n13760 38393\n69928 77315\n57622 82098\n4391 74131\n48448 59302\n11148 68701\n43744 80276\n56172 83149\n17326 36357\n37306 88774\n10913 15884\n70575 90810\n17274 48495\n27855 35849\n34489 79251\n11061 29185\n30783 46059\n54914 60764\n45443 82992\n22064 24806\n30615 48364\n4577 57550\n5905 32877\n33379 55472\n21234 39019\n15447 73964\n27413 39615\n63242 97809\n3972 6351\n14758 98943\n6617 40852\n1540 74759\n49428 58992\n54388 75113\n1800 71074\n3180 23106\n2654 37344\n23539 76112\n9258 41199\n63935 81926\n18173 97879\n9680 70245\n10710 92999\n2491 38525\n13528 16141\n5657 15683\n73445 85242\n39326 79397\n26185 63144\n22918 60125\n18790 53517\n8818 78379\n11457 57593\n56607 56950\n7698 73955\n965 1319\n29494 86503\n63243 73476\n31217 65244\n24334 58044\n29948 58220\n3560 17623\n43310 84890\n9316 38530\n10194 79721\n54177 74019\n38747 73323\n3465 72624\n10092 17913\n20615 32463\n24459 50318\n41265 91722\n4362 7738\n358 77195\n64902 72296\n23487 24616\n42552 96020\n19137 60615\n42249 83710\n4367 63755\n14516 72977\n43614 94062\n4505 55939\n4760 88615\n65226 68070\n67882 81426\n76462 89459\n54117 93329\n19251 41692\n92317 97900\n2631 72765\n74775 99338\n8387 22626\n16650 21580\n34289 41196\n28897 84104\n46884 70332\n43027 53913\n23696 76515\n6510 26560\n26222 84195\n17625 83749\n6742 93210\n13637 51275\n47132 83339\n53101 99058\n57516 72122\n22045 88545\n70481 99408\n7210 52567\n26203 90651\n2524 12629\n9414 39434\n3385 30245\n51918 74816\n49869 92203\n35489 84357\n45874 77946\n33741 38927\n742 46106\n31857 66500\n90168 99023\n63442 66692\n25328 66368\n19495 47172\n82733 83234\n76761 86205\n4215 46812\n1008 24057\n18530 30229\n21247 84688\n33867 95883\n82630 96011\n6284 86403\n48827 81945\n77023 97331\n6165 51284\n55271 74640\n27127 64087\n9543 43474\n39768 97665\n13393 73827\n29502 90834\n1037 82057\n51258 68717\n22309 94977\n26712 98202\n18110 65181\n40452 84372\n53390 85733\n17674 31710\n18987 98309\n41327 99559\n37347 60403\n3811 11081\n38724 77779\n82116 98225\n43965 89307\n42190 57093\n14004 34081\n44858 83243\n29762 95285\n683 94317\n84172 94424\n57770 96661\n67376 82573\n46073 88360\n77198 94283\n38426 66281\n46145 66563\n50872 58877\n28579 73931\n5508 77943\n6087 7008\n26663 83815\n57391 80234\n59730 90244\n68544 80685\n41878 53665\n1622 75333\n1430 14977\n27210 76363\n2635 13952\n30688 56626\n1287 45771\n9961 89746\n67000 89522\n19941 99700\n40582 65532\n42294 74642\n53438 81235\n17139 93777\n3948 96385\n44763 90011\n20332 20919\n25515 46656\n4972 69862\n2637 87604\n9181 90324\n60734 78170\n56317 96345\n57817 80764\n4610 48859\n14125 93388\n40394 54966\n63474 99177\n41470 50686\n36363 79331\n12804 84686\n581 35300\n78940 94401\n26943 76022\n60854 97861\n23826 36213\n66057 83124\n1296 48319\n5513 83325\n57530 75098\n31155 78941\n19437 67607\n11168 16543\n31880 61917\n8829 68344\n55179 72933\n51336 92163\n23014 60809\n35490 57144\n2783 37213\n52912 81725\n67659 98017\n13219 56163\n22623 91187\n23736 74105\n45758 68151\n73248 99127\n64625 96271\n30461 53718\n11371 23355\n19626 39088\n50616 70236\n9807 63303\n12574 87731\n82029 83508\n44311 75988\n45487 86313\n68345 70680\n45969 93497\n29060 93091\n9940 50442\n22724 51990\n33146 52695\n606 22074\n17986 48011\n54929 68175\n10073 29262\n236 51675\n11284 59550\n11500 25764\n39397 98688\n29138 55009\n77673 81052\n33574 75904\n56245 66080\n26637 46599\n26423 31106\n33822 75470\n10841 57630\n46914 89365\n23630 64112\n8681 46615\n35119 55360\n17566 84890\n15968 92020\n15838 28073\n39097 55008\n79074 86563\n3167 62530\n71628 89174\n4166 82551\n48651 53606\n36067 70120\n11011 88580\n98112 98465\n34666 55814\n41803 97896\n93318 96487\n37625 58981\n36633 74846\n88149 93899\n59274 68593\n48761 80288\n28321 95900\n45664 80787\n18844 99035\n68843 90084\n83136 98856\n23450 23911\n14193 64887\n49869 83899\n36215 83054\n41723 87426\n2212 66817\n8382 34587\n18210 77359\n32494 54367\n33489 39867\n6381 96466\n59562 78454\n52971 76696\n59223 66552\n44117 66122\n24766 28850\n27494 62674\n15303 54439\n79977 95400\n44623 73284\n7420 67329\n22426 29125\n18531 48618\n15700 60245\n52643 85875\n15837 83143\n13275 54148\n80197 85458\n2247 70125\n63764 96009\n76830 99836\n61745 98470\n8304 20172\n16880 78457\n48545 80856\n6915 56146\n26845 73454\n8 65240\n17498 56266\n41552 98063\n21257 59501\n1751 8312\n20607 48036\n165 89437\n63107 79919\n45490 99941\n46443 90323\n58351 62205\n30294 79333\n60049 89467\n2544 24562\n43262 62247\n9361 38557\n13375 50783\n6269 48380\n41814 78504\n25313 28685\n15563 60625\n27095 44764\n45482 64811\n33538 81921\n38703 94880\n96854 97809\n23184 43353\n72234 77171\n23369 31106\n36791 81106\n88691 89122\n22245 94319\n29676 34202\n49628 79818\n17120 81828\n8016 91381\n48822 72754\n585 67793\n12813 96590\n11798 25897\n14731 59394\n41781 69964\n37406 78577\n66166 91934\n29093 59377\n7144 59316\n32967 45292\n37030 46331\n58513 71036\n72003 78398\n47131 69931\n33428 83787\n57434 66668\n66661 73104\n80250 96916\n10392 83263\n5174 51623\n16995 36232\n5771 81240\n45882 78089\n517 65348\n45952 47434\n6652 51731\n51103 70076\n37371 86298\n35903 44257\n55739 91598\n2625 33411\n21611 92977\n32148 83003\n16313 27880\n39357 74721\n32108 80426\n89669 99293\n54550 61992\n5909 82521\n51033 97718\n91222 98911\n35330 96101\n48281 58447\n9944 22813\n3476 37687\n80041 97458\n6923 51850\n73729 82064\n22072 43928\n38314 78232\n5339 85039\n9384 10559\n35092 84009\n6294 56841\n35368 65620\n5834 93788\n31925 62652\n4019 94704\n65837 88444\n42742 62496\n5464 19442\n43338 62873\n49029 88080\n5363 55235\n33320 62581\n10618 81112\n4146 28617\n4708 11773\n4463 41452\n23070 30850\n91713 92460\n13876 54007\n9600 79777\n73552 99118\n28568 39933\n26323 51213\n16762 54202\n72334 96623\n39603 82313\n19355 78173\n41764 94329\n55388 64860\n48699 78572\n35271 61998\n26207 53286\n6926 94011\n53144 64022\n75472 99495\n17099 72864\n38109 69336\n55464 87596\n59865 69723\n43710 84588\n74567 91854\n79624 97758\n3891 30386\n4970 46121\n60868 68728\n2326 33933\n12423 21348\n29797 31129\n19996 49287\n26765 61185\n5571 84981\n16643 72969\n79336 95947\n6206 77802\n1978 54637\n50352 74008\n17632 66798\n35402 49436\n21318 33810\n22272 50841\n1594 8520\n63182 90077\n4659 38480\n48455 77760\n76008 90560\n30192 53953\n42973 47846\n20733 76894\n10231 82243\n2570 82430\n42619 97136\n10618 75890\n37744 37883\n5068 44707\n8740 45049\n69742 75100\n6755 16462\n70015 82482\n37405 48343\n54708 63593\n43913 96773\n19648 75399\n89730 94601\n46818 55422\n6430 47848\n15529 40714\n24269 68360\n13000 84584\n20442 40821\n23032 59608\n33012 94127\n38712 99315\n20565 75934\n1296 38796\n43176 63478\n6250 28419\n8306 14941\n38268 79189\n42016 64960\n2367 62370\n65820 66634\n46943 76532\n5826 68165\n45582 72813\n11507 73840\n1276 94311\n22811 98562\n28820 75489\n57657 82764\n51047 99764\n20809 59808\n51470 77043\n64152 93463\n40036 45613\n44035 84318\n70559 88661\n72051 75721\n33685 99648\n26962 81489\n17014 70298\n72926 90749\n79529 96346\n35798 72608\n11336 57554\n35062 37094\n21106 91887\n4835 76698\n42561 63320\n26898 87295\n58970 64505\n44082 79213\n4931 15729\n25030 38224\n71769 92426\n65349 97893\n14344 33316\n61851 77952\n38754 61983\n7303 46462\n21100 27168\n41277 63786\n45258 61559\n61566 68641\n59944 69446\n20678 98396\n9244 88452\n10939 44839\n54883 62221\n38558 68848\n56434 99324\n60284 81091\n540 42657\n72047 90754\n16761 80030\n18805 82515\n3642 81835\n25571 45521\n42454 73511\n3032 58159\n48150 88581\n22762 34293\n7954 31738\n11102 47157\n17640 43971\n63474 83829\n68137 77498\n39572 85085\n7831 41426\n58453 64408\n16606 43705\n30312 79003\n61960 92222\n11607 39891\n7535 44289\n50291 69717\n71284 91629\n45018 77299\n68226 97813\n20141 75667\n63602 66819\n42639 87046\n3950 38076\n45321 82959\n48169 88219\n69173 99371\n2617 65720\n36679 42726\n12924 92269\n4206 47051\n9110 34479\n34487 41983\n15618 63181\n34864 68355\n16112 29406\n23970 67483\n17621 23717\n41234 74968\n11526 55116\n25436 72049\n33547 33768\n63327 82210\n30708 71865\n2665 90068\n10994 37942\n71220 83508\n30769 75726\n10837 73823\n57379 67660\n10507 55589\n29570 95098\n10064 59311\n3525 50395\n20242 24581\n4799 52752\n36023 92125\n46436 56563\n64123 91281\n20003 22506\n20648 76280\n71839 85303\n31753 59343\n10643 54984\n20649 24992\n38953 42058\n67369 78452\n780 56587\n43018 48240\n5588 27432\n3888 89996\n12442 16284\n37664 99975\n42217 50614\n22627 49848\n58508 94914\n22345 40223\n60346 96875\n26130 56740\n4752 54464\n93857 99823\n15133 23153\n29664 48043\n22227 94491\n13680 54515\n46067 61242\n65782 72210\n12321 54778\n5426 40536\n38802 70080\n29843 42445\n35765 92956\n11007 15110\n24139 97959\n336 87034\n83568 98777\n38371 86180\n57657 70475\n32775 99443\n23770 60435\n5158 25928\n7407 15385\n41656 50325\n21626 63041\n39055 82017\n192 19134\n68883 86585\n28448 59966\n34096 87939\n12059 12457\n34172 39585\n19455 49820\n37387 76965\n46770 63157\n38580 47279\n18228 69580\n61845 82191\n55497 90642\n27710 52860\n28163 52971\n62950 88168\n37842 40468\n76669 90255\n38605 41831\n93315 98125\n13603 19627\n27841 95019\n55126 83354\n1318 16426\n70771 80765\n12147 14915\n74053 75310\n10620 19202\n12841 73888\n16327 28785\n17499 93191\n17200 93093\n14753 18553\n28173 41042\n20563 79860\n36817 58746\n10366 78582\n26886 88999\n40354 83164\n35411 82427\n29710 63923\n84259 93474\n35974 75160\n50447 97141\n50350 88544\n30986 88709\n40637 75074\n13483 61353\n5541 73489\n51504 68232\n23301 66819\n32126 41403\n31978 79481\n51134 69676\n9062 55548\n12882 93317\n75812 95262\n34748 34824\n53599 87980\n8302 91633\n63311 77153\n7207 69169\n35523 69528\n34323 42553\n4751 22174\n55068 69610\n5992 19516\n14735 35581\n24977 50615\n13152 92978\n35056 55896\n40323 88505\n6970 50918\n72518 82239\n49440 76094\n25362 60269\n23264 54423\n8520 47415\n78399 79165\n37224 85040\n12035 62977\n23174 59923\n34659 42189\n9125 31535\n6597 78947\n33919 90274\n55542 70049\n59060 80565\n25690 51938\n47007 64737\n25342 26622\n64265 97494\n22977 43954\n67200 85394\n24530 74338\n32804 66966\n94507 99376\n61013 74051\n57685 85038\n6640 30513\n6932 95709\n23760 71174\n95049 97826\n77241 92135\n60948 80250\n59750 78267\n84971 97391\n47414 74627\n15159 61218\n25217 46167\n23725 29397\n53803 56543\n15436 76931\n3448 80746\n33640 34738\n40712 72616\n5328 60476\n44814 81030\n46469 98543\n19289 59436\n12842 92131\n38310 50346\n66674 81987\n23236 72012\n16604 38730\n62051 66051\n47652 75583\n19533 66494\n63846 99446\n93440 97417\n20509 61769\n18736 20876\n17322 80562\n7248 56962\n1266 76269\n71708 79032\n12713 16832\n38300 79653\n34146 97767\n25388 45975\n25723 66781\n26242 80795\n65656 84025\n24611 60578\n3550 99027\n72002 83349\n22321 33050\n844 78465\n36610 40537\n60631 61390\n66867 87906\n20169 60133\n82476 85362\n69218 95207\n22647 43745\n55001 96626\n61790 98770\n66605 67807\n22897 59394\n33137 44260\n30453 83135\n26321 74880\n64507 66801\n43128 96476\n46038 59878\n8755 62395\n20197 76085\n28610 78801\n39580 89833\n19233 22593\n9546 57086\n21559 94643\n25580 56440\n4075 47302\n23897 81758\n20298 76503\n70378 99891\n16086 19166\n89010 92878\n55282 87582\n6618 10839\n54091 90973\n24864 50493\n2595 14450\n20118 79567\n62852 90507\n20122 95583\n62930 82834\n5017 98393\n71728 77184\n24514 85350\n22945 94837\n47447 65255\n58578 60151\n18874 77476\n46075 64648\n70672 83998\n7923 46913\n49040 73710\n21759 50532\n35477 88532\n77558 94152\n33522 67249\n18705 73875\n23412 79229\n11964 74484\n64678 77602\n22439 98998\n14278 16875\n15585 42685\n15066 90298\n7434 47460\n43236 49121\n78885 88508\n10323 51508\n37106 84196\n47212 83747\n59727 67763\n40166 52479\n4087 72078\n37124 39950\n13376 87758\n33938 82186\n2601 35931\n38040 51502\n31548 76778\n23213 50568\n3105 49274\n10249 89038\n48645 99822\n7112 19784\n38994 75750\n9190 61539\n6596 61859\n59113 99786\n22372 27875\n31008 63841\n42804 83354\n6905 93473\n51464 69379\n46101 68740\n42968 53670\n44035 50678\n65315 71672\n13686 55027\n29590 63820\n37327 60308\n24239 63103\n73705 84687\n48639 57274\n71305 95284\n37366 52969\n12618 68288\n28771 99479\n61506 65543\n41929 87089\n35626 54605\n35430 49632\n85323 92266\n54486 66659\n11166 24268\n88512 88542\n27441 53875\n35376 96220\n34648 66522\n73424 82164\n8349 21976\n19101 56788\n91194 99236\n17209 26715\n28660 42273\n77396 92230\n20511 90333\n16698 63400\n25448 47388\n27125 66665\n25425 34704\n38332 83541\n27597 35078\n34904 71682\n14824 64058\n7733 67383\n24999 51951\n82569 87635\n84602 86375\n13737 49220\n16077 62408\n20264 81260\n26632 92501\n42491 74018\n14600 21237\n64216 87276\n36320 58157\n47916 87959\n34784 78276\n24172 89107\n2150 87074\n55481 84093\n31504 54092\n21029 90693\n6908 97544\n31963 65119\n19592 62441\n998 5730\n51297 80553\n28514 29360\n9340 51429\n36990 95553\n19864 82484\n8678 13940\n40122 74606\n20833 81922\n60800 78810\n27067 65547\n72521 97403\n18066 27011\n13327 98889\n16059 88836\n8558 74101\n57189 88887\n30463 85616\n10960 16026\n39984 88514\n3604 92964\n2698 96845\n6087 55380\n59284 97621\n59483 65298\n31346 94780\n47974 56209\n68565 70000\n17995 70631\n56218 62855\n2588 56840\n44888 76587\n49533 53369\n65450 99694\n17823 18561\n14707 28714\n16953 66934\n12294 71248\n33372 62720\n17723 75763\n9586 21604\n13509 42250\n942 96814\n64620 83167\n68183 75329\n15215 55680\n27308 71716\n27640 61170\n22897 26605\n39764 48497\n37415 43487\n9169 29150\n55934 92666\n16825 59740\n85608 98438\n53119 87007\n22635 29179\n53843 92716\n26047 60910\n23769 57214\n1100 78003\n59871 90949\n26696 50613\n22290 50585\n23700 23999\n59195 96405\n25112 51210\n20096 85907\n50077 66100\n27447 74713\n47336 51993\n75778 83126\n3591 30981\n33901 71193\n78101 85411\n38921 56404\n70793 81659\n28921 45355\n36722 79102\n59432 88156\n75408 93413\n66046 88318\n346 54058\n15156 84555\n57242 84077\n57465 92679\n60224 81306\n47333 90545\n12498 17229\n83376 97037\n55294 92760\n34703 43291\n32304 78886\n87510 91211\n39933 61273\n15187 97516\n5910 42745\n6570 33579\n3066 78363\n69869 84493\n7728 26647\n4774 52643\n42251 54380\n12398 72072\n51272 92834\n43422 48783\n4070 21607\n22504 43696\n1939 7859\n1519 62035\n31911 60732\n24111 40925\n5596 14053\n101 28120\n28285 42312\n48371 72800\n6383 70366\n9274 34986\n37213 52832\n75824 80623\n75288 78209\n61123 80575\n38257 43433\n21470 25013\n353 60033\n76749 86188\n85769 88608\n37060 82288\n70738 89357\n23816 64512\n68011 88642\n17701 84745\n11213 61557\n52987 86349\n38924 82383\n69063 98684\n16436 59506\n36317 71856\n22837 47906\n51048 85059\n33570 79473\n9684 67822\n18927 41195\n53980 90088\n30628 73292\n37664 86893\n70670 84631\n48020 49850\n5921 83764\n4658 32082\n46716 47094\n88668 97490\n6156 18828\n30996 94265\n37147 63533\n83936 94760\n42332 95044\n23353 71969\n7708 41641\n15895 65952\n44046 86821\n5691 39563\n51813 87351\n52700 76784\n61112 74379\n3144 8858\n1433 5454\n16741 26505\n77446 96837\n45705 82022\n17933 95336\n69167 88486\n29276 51888\n22494 83025\n27232 59517\n73790 86666\n68893 80003\n2487 31985\n11523 78385\n6480 7219\n33007 90337\n29330 93077\n5878 21077\n72704 85603\n55424 94775\n5364 43531\n41416 95209\n41199 99799\n56082 80765\n54036 84637\n19971 83248\n82898 99794\n28030 98382\n54337 84559\n7100 27273\n78522 87825\n48503 54145\n2481 34366\n85589 90189\n67713 94426\n51674 61582\n20626 20645\n39770 94334\n6383 77786\n15590 95616\n19622 53057\n513 71080\n22494 63721\n57623 81785\n5866 80150\n14544 36112\n16666 32336\n14488 62458\n6333 82325\n52972 69349\n12803 73722\n81302 93731\n58596 93558\n75664 99205\n12545 22149\n72953 75623\n20124 99437\n76087 79746\n28193 81388\n67897 88306\n60877 99890\n45781 79876\n1264 40071\n40867 50640\n52414 80773\n30444 95085\n21017 90687\n75672 89116\n80739 98030\n28535 96293\n12241 35564\n89806 91548\n12075 33373\n23025 60954\n16771 19703\n40119 79403\n68173 90345\n24592 85985\n5934 44872\n46583 51133\n18041 19109\n59037 90159\n36601 64766\n42561 78248\n32052 65380\n51461 86388\n51509 92019\n21974 47740\n50205 62420\n67095 76199\n28624 71174\n37810 59590\n9615 50463\n13399 72623\n9519 56699\n2183 2449\n39537 64169\n2001 86092\n48163 66039\n16594 92419\n6203 12009\n73277 91772\n67133 99145\n25599 47174\n6360 51806\n53729 90218\n709 82411\n66658 95131\n5609 11527\n3074 65613\n45568 53080\n72223 83999\n10403 91139\n48081 61110\n44701 67836\n11904 29190\n13884 27283\n47236 98800\n10791 49860\n62520 99703\n9270 30670\n45087 59630\n27603 85054\n15167 56270\n44762 75075\n52295 98933\n70920 80244\n36463 79779\n63508 64958\n54918 81205\n73482 93876\n1761 64202\n71701 73313\n2131 48085\n5198 57605\n17300 57528\n4549 23869\n34968 97063\n45612 50124\n41343 90760\n1141 25047\n43890 46733\n37721 74336\n46328 86314\n20664 20864\n21882 93174\n69879 85024\n22343 85754\n30774 63445\n57018 68625\n9695 63513\n48036 88622\n62794 94730\n1406 72871\n10350 54354\n74218 97405\n47177 92553\n2964 57391\n7143 61290\n69270 81514\n25575 81786\n43944 83474\n20114 79971\n52462 60042\n11226 53141\n1361 49131\n45701 83149\n58558 67975\n57003 82492\n52085 72311\n19511 43217\n1318 1922\n6395 47176\n18187 21008\n26153 28605\n39070 96017\n11811 86542\n61505 86163\n18940 59040\n50801 92846\n19954 26838\n32612 38505\n51 45637\n92155 94121\n10412 74207\n27254 54157\n23295 36671\n9668 24599\n1625 86517\n17183 45315\n10374 87912\n21698 84357\n11508 19525\n13524 66051\n14490 50232\n77268 83533\n8694 16476\n1848 36611\n81995 94786\n25639 62643\n5412 11493\n23203 88776\n78118 98340\n73230 79283\n42704 47216\n12790 23306\n77246 95509\n35552 61342\n29449 64298\n50353 59815\n87677 88416\n12910 19792\n26 17756\n18394 92915\n82089 93602\n26771 60714\n75468 89834\n82660 91628\n39769 80845\n45555 63134\n51612 81744\n6136 19970\n34043 72849\n17742 60113\n48646 71617\n42711 86745\n86133 94356\n10365 51532\n391 63145\n27203 55146\n42503 64457\n26702 42262\n30057 57932\n12604 23040\n8349 27279\n45073 94233\n64939 76465\n24566 63486\n67945 92740\n20546 26918\n14695 57133\n14665 68120\n6484 25808\n6503 79692\n8699 68261\n8900 59276\n49510 85352\n46891 61324\n17597 63675\n17075 90250\n63731 94025\n44223 78446\n21948 99112\n23519 90112\n12992 67748\n78256 99143\n3051 30339\n32388 58750\n67289 99666\n63053 65310\n62936 84577\n642 8696\n36653 61098\n38960 55618\n78558 86466\n1387 5449\n6160 75200\n73253 81545\n16118 95966\n28310 60882\n50168 73925\n15423 36794\n54147 70015\n14353 41516\n55745 68248\n15795 46493\n18039 56852\n27242 76883\n36685 41990\n9707 78683\n58788 89014\n73163 86229\n9771 11344\n15560 46572\n33740 95739\n47270 78906\n7691 54623\n12238 53543\n29281 43432\n28124 40933\n41161 86196\n43257 67578\n33832 44458\n24995 86751\n20799 76746\n53731 86673\n38147 42410\n84 92638\n33804 58180\n17555 61726\n58009 60004\n66063 98006\n24227 70696\n15416 71983\n25820 50930\n12117 56233\n46903 75217\n55287 87869\n33475 73242\n40511 78572\n41036 56749\n6137 54450\n14187 77870\n58901 80401\n40547 56413\n57820 79667\n16325 88743\n1879 73342\n68004 81590\n48528 54384\n76313 85502\n21024 35518\n74757 77890\n17623 50643\n67355 98764\n32265 42280\n18875 96845\n27359 79527\n31330 72553\n81860 95626\n70220 82949\n8744 61290\n33625 77170\n37771 53067\n32300 48851\n49318 58390\n37880 66642\n15520 31823\n47525 98707\n86149 93762\n8899 33928\n13921 30829\n9467 28992\n3152 14320\n9103 49276\n76664 93851\n18172 96301\n54988 63855\n47297 52792\n9030 35698\n19327 21468\n34646 44882\n22831 75191\n20118 99002\n6800 27433\n31023 52371\n15484 41754\n77206 80670\n61323 98258\n30851 78559\n11244 60562\n13499 96763\n43032 78259\n14547 81328\n19029 67296\n8914 79503\n52399 74132\n53789 95622\n10517 44729\n65261 86407\n20485 56180\n12972 67758\n59286 64372\n29818 59826\n27191 78984\n9818 64478\n49478 79830\n50788 96947\n23992 51211\n44485 69336\n19192 37205\n21578 94302\n23651 82142\n55303 88270\n41673 73451\n43164 90113\n18351 69032\n66076 77097\n44486 92189\n37438 50519\n23346 25737\n50513 65349\n29602 37488\n48224 75588\n7881 37017\n36284 53053\n56094 92785\n25075 89334\n23954 68014\n70398 71092\n42108 68200\n51313 58642\n18615 79457\n63224 92242\n4356 99009\n52998 92276\n19831 47382\n62807 79003\n850 49461\n53183 75677\n63228 75065\n14724 49137\n18339 22087\n859 37860\n21343 39711\n34971 65618\n56620 72924\n5063 35691\n54004 56536\n3067 20889\n37252 96762\n56947 58948\n37806 49034\n53937 76489\n21609 50172\n42291 55336\n29817 76462\n36591 53006\n51000 85172\n24255 49753\n34312 69706\n45541 94022\n30476 86971\n51165 56067\n50472 78784\n20390 45659\n25268 45211\n11199 86965\n59588 66333\n46948 87039\n50357 71106\n39699 45823\n550 50935\n34867 91695\n6808 49633\n61502 63889\n7234 26224\n37855 75746\n38204 81890\n77450 91681\n23715 60099\n18762 38319\n48603 76662\n27291 88644\n17184 64936\n49119 59189\n77965 82740\n62145 77012\n12010 85944\n29648 95496\n15222 39616\n71808 73370\n13283 19559\n28301 58251\n2622 36138\n55569 74680\n7498 99820\n54638 58172\n44466 65248\n46216 47695\n65194 83007\n41156 50139\n55430 92434\n21950 82506\n27038 96178\n54992 67373\n13452 87024\n44596 76045\n71356 89599\n8096 16866\n7216 92820\n27877 72025\n16519 87692\n43171 46825\n58658 75008\n10738 18581\n20017 30003\n56107 68497\n34234 95025\n49198 55847\n28843 81956\n59537 91710\n9477 23413\n6898 61547\n34492 40358\n50558 60055\n1407 85657\n2476 50005\n13327 62064\n15766 93973\n7696 54645\n78185 93016\n27361 49411\n10437 40953\n61936 72103\n67323 77244\n21178 73420\n2515 18810\n9091 31838\n25519 98923\n27193 65165\n8930 84686\n17340 26714\n90302 93952\n42565 66752\n4043 86097\n46518 64481\n64201 90803\n73366 75514\n54209 58557\n53177 82178\n31663 75353\n92512 97868\n25140 82954\n6499 68683\n70600 91647\n13807 48543\n39220 46996\n51620 84762\n75083 96357\n32479 69934\n31211 87413\n15388 39654\n12882 80983\n61871 87404\n67435 70641\n87596 99552\n4619 23993\n10946 66986\n13274 40922\n54983 82720\n1800 56573\n84840 97759\n11983 48833\n38553 64657\n17073 84205\n48449 65165\n32462 60744\n1211 65601\n47792 89647\n20519 53422\n26145 37112\n40183 84539\n11688 25774\n54174 82837\n15870 90687\n35893 90078\n27267 99206\n68992 89861\n34675 45719\n27168 50897\n61044 93342\n29574 63583\n40160 77035\n60094 91354\n64206 98308\n8075 89831\n18026 41078\n4988 50563\n18060 19317\n87296 91261\n20499 39978\n19977 77223\n31144 58582\n49950 60476\n17695 33214\n7696 83316\n2780 10243\n10702 65073\n30135 67175\n36266 39616\n12476 79276\n47832 70228\n21365 57129\n19552 84950\n36725 37196\n76166 80417\n34380 76882\n4857 24161\n7406 92802\n18621 42542\n16346 57386\n11325 79282\n73445 96653\n33872 91616\n53932 88362\n53267 87706\n74655 96777\n23757 35947\n40728 82699\n24923 76330\n5808 37486\n1616 20862\n23833 79667\n79648 81662\n41074 92153\n21730 48267\n11289 25091\n78899 87116\n57114 92235\n3495 60310\n19422 45920\n58566 97572\n5422 91195\n51367 58629\n12492 73431\n33238 71485\n66874 97383\n13263 78764\n72819 78969\n23101 77887\n14473 41912\n30621 70821\n41869 63229\n3056 93078\n14438 91464\n78424 78609\n46000 86571\n31865 58085\n23806 99155\n48262 92244\n57026 82819\n32989 34497\n56966 64814\n22878 37052\n56717 63925\n81207 98479\n36960 56226\n35568 67901\n1553 94071\n45748 50393\n64588 84762\n18423 85462\n14706 60862\n3472 43036\n5786 46541\n44365 74467\n37756 74563\n27690 44020\n16134 24979\n76073 80793\n286 67337\n8159 20477\n20921 56860\n10527 17394\n28835 55172\n3514 68354\n67812 69180\n58726 96231\n67837 83394\n830 78890\n29613 65882\n20666 35472\n39533 95468\n51610 72481\n23334 55487\n2101 13693\n24305 94674\n55488 95347\n67944 71988\n53178 55548\n16729 28968\n24709 46963\n6824 97433\n4170 49291\n75559 87725\n46334 99697\n38510 67947\n46569 92443\n14813 50108\n8249 85820\n3041 84757\n62458 99397\n66444 93752\n11687 66624\n53264 90995\n24892 65004\n6055 88412\n6059 13038\n17141 30955\n23607 44362\n3835 91804\n40717 88648\n50477 83211\n10266 74427\n61660 77953\n1232 35277\n81086 94020\n64589 98613\n13141 57645\n40393 68194\n18801 44551\n6706 73691\n33765 59537\n14600 28881\n77581 96708\n20061 37043\n22473 74358\n14918 22043\n5018 80143\n22631 62050\n37853 66050\n3959 97330\n58186 66561\n32073 76928\n4994 89021\n10752 76597\n16266 48084\n41078 93854\n46952 72106\n11436 14650\n11417 81590\n25246 63806\n31930 92144\n79052 96401\n86254 93319\n31079 45794\n62886 82458\n45423 49501\n10270 37898\n18105 88443\n94633 98463\n40077 74275\n11150 94658\n37559 90183\n86260 88912\n56542 90690\n46310 60766\n25968 29644\n24619 80634\n27699 87113\n9619 98953\n71348 83733\n24429 80181\n43246 78563\n25098 50004\n63211 99758\n16126 55132\n85449 91104\n49131 90464\n45935 70251\n68091 88991\n75450 95982\n20094 31995\n12970 27681\n31139 37613\n55040 91297\n22757 98995\n51225 68971\n1880 53636\n3297 29827\n3848 45499\n39252 98508\n10847 46977\n74345 80461\n30674 31417\n24344 86080\n56128 94176\n605 19662\n35362 40686\n53007 95497\n531 96385\n8488 49259\n74828 77634\n33617 44764\n43321 91131\n54283 69200\n8070 54508\n49927 83519\n32785 54161\n3122 71052\n13816 26744\n58639 71870\n56517 77155\n24692 59423\n19039 38840\n84728 85716\n10530 63562\n25690 60023\n97136 97954\n17618 25902\n36156 60168\n47546 69310\n9731 87713\n37009 59674\n4887 26707\n4297 77414\n43049 72282\n15565 95150\n2346 49549\n35466 42752\n52840 97999\n64013 86892\n54863 85848\n14963 48381\n36698 57867\n11512 18810\n44609 72300\n23625 77133\n18317 72237\n6263 78001\n53224 91395\n27103 79764\n66051 80879\n2698 23241\n58516 93890\n40854 98956\n38861 57682\n57622 68776\n543 84943\n66362 96533\n28411 69697\n60419 61136\n16153 51503\n13532 96028\n34972 76386\n14993 85712\n46566 96214\n1815 96778\n54809 59690\n29086 41857\n31039 50757\n5162 47432\n27333 44354\n59446 68790\n65141 69078\n40405 49055\n36658 81635\n23414 68448\n34308 63299\n50122 74941\n17743 49338\n36775 68154\n13384 26020\n42941 53014\n5571 68291\n21799 72067\n9261 71109\n64717 69018\n59765 64617\n41591 61715\n16122 17779\n14411 16696\n33802 38291\n59928 94486\n13835 13848\n79291 88641\n52886 89960\n73816 75729\n4822 16259\n28943 43759\n40865 68400\n67281 68000\n14407 51206\n49331 76148\n2000 83460\n15252 86419\n8627 76714\n27484 64378\n5838 44827\n22552 81880\n34808 66467\n50260 87419\n6352 44363\n11926 68707\n8255 70390\n3980 12318\n50700 94596\n3578 89034\n10004 73883\n6910 29781\n46466 51126\n25925 41457\n27482 69085\n13022 49862\n14057 25462\n34173 86285\n15962 33694\n52062 70212\n16512 25286\n6210 27490\n21625 46152\n76962 77826\n40191 47709\n1836 56495\n6145 6180\n55103 87878\n11742 20716\n22057 64315\n257 22983\n2519 83897\n50321 99301\n79001 96122\n2550 54852\n42121 64149\n9777 39287\n40366 54643\n20470 27770\n6565 10933\n4812 85078\n30736 37506\n13497 43091\n20062 24577\n52752 67199\n16681 82052\n46404 68562\n55799 84126\n43606 44654\n49676 85329\n47877 49548\n44092 62924\n32511 56664\n6538 97286\n66952 87556\n43778 51563\n39014 51472\n8693 47820\n57381 79695\n929 27047\n35099 70115\n33472 74762\n53006 54146\n18714 95364\n69645 94224\n37247 77830\n30297 91514\n24317 43985\n80997 83300\n9725 64622\n61027 67586\n29078 57985\n4055 88757\n3962 30426\n31596 90956\n55987 93446\n15730 23493\n787 85041\n35851 76968\n1659 76116\n70011 76556\n60827 64006\n23145 47676\n43420 78290\n9479 56217\n48043 96102\n1993 24013\n19903 54127\n58279 96191\n85305 90495\n1195 48540\n75343 93662\n27286 68543\n56094 77869\n51631 75235\n45182 88592\n6391 8681\n2355 11392\n1051 40173\n70827 89279\n20688 58320\n83838 97332\n18358 70683\n14463 68702\n53261 78848\n1835 81216\n45188 95928\n16331 37634\n28391 67676\n28310 77784\n4569 95606\n26271 87795\n44012 75351\n37303 41302\n2140 22965\n37009 47316\n11701 27451\n19808 55587\n6377 38187\n26699 58197\n84256 93084\n76276 76969\n63110 91783\n78698 90991\n7213 59270\n22207 70977\n83740 98337\n63880 71114\n8641 45430\n38643 81366\n4423 96617\n72217 86479\n87680 92069\n39474 47418\n76814 91886\n4452 86152\n25320 95310\n29013 87296\n7468 34014\n24582 28825\n55657 77864\n48598 59473\n5774 14201\n21074 82645\n1197 32999\n24086 97345\n18880 35636\n27450 93274\n45147 96856\n43969 96452\n22748 76421\n45061 75642\n4208 46512\n21967 30608\n82349 86555\n7318 68721\n42726 50843\n13358 33975\n50584 58421\n24213 99593\n44168 90682\n59780 96287\n1547 39724\n5237 58453\n77497 91695\n53476 73371\n81735 83263\n68993 71722\n47325 71481\n5549 74637\n23561 52721\n73088 78221\n56060 74775\n30686 72654\n1336 74093\n21038 24914\n14264 91151\n43022 84764\n31034 77799\n1594 73649\n46655 61199\n45430 67597\n26405 99279\n28006 77330\n36442 70213\n16650 74521\n32794 62573\n7864 21827\n4998 15548\n10323 68672\n25201 50420\n9618 79783\n32045 70714\n4734 62771\n85743 86617\n19342 86544\n97046 98417\n12005 57512\n17580 90464\n27022 89422\n39716 92506\n69093 94059\n29895 84995\n77530 93985\n42937 88198\n13183 49440\n48785 84359\n23133 29853\n12699 70396\n22736 55775\n36794 73724\n15663 25181\n84485 88975\n2634 98919\n22089 91444\n52663 92950\n60430 95549\n35418 82505\n30988 48350\n16645 97169\n50382 66230\n24413 54947\n53643 68955\n19 26256\n70325 72005\n25294 49703\n27918 61394\n48902 83584\n23550 53511\n9419 42911\n67101 77796\n46354 63489\n38045 91720\n24563 91243\n71752 75671\n17298 43090\n65226 72420\n32146 98908\n30824 33623\n26719 96222\n17193 20153\n41042 80814\n15371 25581\n5225 14113\n11263 32233\n28739 37364\n23576 69745\n63839 81313\n29083 91358\n63259 92413\n81025 85670\n55895 93790\n43914 64106\n37579 57614\n9787 54263\n12019 89757\n68355 81741\n78062 81884\n18340 28509\n75860 81254\n50688 56771\n15595 53391\n5900 93005\n21548 25536\n17937 59972\n12387 34334\n5512 24328\n58456 67808\n6810 22260\n41024 64026\n2306 66280\n573 43152\n20133 36938\n19449 82131\n3447 25775\n14760 81636\n1974 69647\n76561 98292\n9586 42858\n64148 87683\n32899 65814\n6598 12003\n3920 39273\n7335 35888\n21917 35996\n35853 58966\n53560 56239\n34905 91328\n54664 89498\n12696 82949\n83478 85508\n58221 77232\n10854 66187\n60932 84291\n8070 38065\n52008 52325\n3298 80814\n25215 31322\n11980 21807\n54531 88332\n60514 90613\n34100 34378\n53138 56672\n20365 73280\n60691 62371\n8113 31943\n19308 53852\n59745 94661\n57003 72112\n27132 52250\n43619 82173\n35511 51141\n55076 76502\n53939 93486\n48728 49272\n28159 97397\n15855 70071\n41480 44864\n16071 68632\n3062 61946\n2717 41891\n2223 16910\n5706 55388\n36360 40564\n18430 99033\n45231 74449\n64390 85207\n70376 99707\n36350 78416\n69800 99519\n46123 56893\n4535 70343\n51172 92139\n39608 52457\n29487 42238\n59627 85932\n2762 70336\n21741 92383\n43962 58941\n44908 72276\n65525 98191\n34761 87700\n2538 79490\n11232 43559\n48428 87649\n39371 91876\n66053 85671\n33367 67667\n8473 74673\n37632 41734\n60233 75010\n43018 75769\n40729 67859\n20404 63101\n85859 92683\n84103 95490\n49226 60001\n72429 97682\n2599 64577\n13211 45568\n61654 85659\n21638 35746\n10457 14481\n16789 66693\n77454 79473\n11511 95051\n8170 59146\n37988 97565\n25127 34205\n25491 85941\n49438 56392\n69399 84487\n39278 95645\n4950 8051\n56892 59188\n87329 87668\n15947 58709\n23638 24767\n59761 61218\n5497 41175\n14974 19484\n4805 67632\n1413 20611\n26811 41811\n10682 72700\n39324 94626\n12103 12247\n37935 98349\n54733 70837\n66862 90806\n9524 70137\n38257 93899\n21810 63786\n32027 90166\n22501 58289\n10125 47221\n17684 28994\n19096 64021\n47921 55369\n61426 80914\n6143 24519\n67648 86618\n62167 84658\n33164 97364\n4753 66293\n51003 88619\n89116 90974\n17922 77849\n75462 94371\n27592 48965\n69992 96432\n56056 95905\n39573 84015\n12428 55368\n65224 98098\n35027 53391\n19506 35361\n26814 47436\n10296 51610\n13043 29968\n46984 83066\n3738 43998\n32749 38133\n37052 55907\n80263 99655\n11024 11935\n8661 92075\n15081 51943\n9750 11982\n33132 89902\n6914 58065\n36711 44845\n12081 67886\n34775 38957\n802 21874\n1662 21279\n58819 72471\n66211 97119\n25676 97266\n18491 74044\n18464 79163\n21978 99841\n38458 73411\n45612 65706\n31503 58600\n61352 92406\n62167 88684\n69375 98178\n53735 85124\n900 66419\n15927 46625\n21508 58495\n5372 85245\n36636 45978\n26408 88196\n25828 91357\n48127 99874\n45809 88978\n16007 86391\n23991 83738\n28165 42532\n36766 54833\n8344 38501\n40454 74975\n34092 45557\n37362 65765\n33393 88473\n56660 65414\n10671 56727\n46139 79677\n17937 71108\n64333 78993\n63357 78235\n45171 47847\n26905 96875\n4880 13052\n43349 73288\n49237 71177\n3367 67906\n36699 65798\n38010 68173\n83318 92412\n9354 60868\n3113 18897\n35037 77978\n8773 56639\n29406 37308\n10303 68239\n8893 50483\n20656 32755\n65097 88791\n14249 18105\n20124 56449\n33100 86605\n17767 37391\n38419 56639\n39354 58787\n24007 44812\n46484 59074\n24963 76707\n19160 29548\n17896 50797\n46373 67660\n19049 28449\n49579 81730\n77943 78696\n46390 97426\n70237 96948\n34676 60309\n27804 61309\n51312 58424\n43433 75038\n66770 71376\n9026 92568\n7105 60344\n13332 49092\n74281 86205\n46816 70153\n48934 98083\n50060 93723\n19014 69873\n23125 55916\n69661 76995\n39382 43343\n56337 72588\n48894 57226\n13801 44919\n54946 82585\n34081 64457\n12452 17921\n15787 17595\n69088 84696\n36086 59527\n56303 90533\n23695 28800\n6015 75656\n32672 84428\n31735 94178\n51890 95457\n55355 97495\n2163 9523\n30712 34960\n1511 50797\n46187 99511\n35039 81396\n21586 76687\n68301 99819\n58834 81559\n54546 81157\n27934 80442\n734 27321\n39160 83995\n59989 60571\n3686 74054\n34766 93391\n18917 80043\n1780 98746\n50540 70630\n27655 62375\n27922 92413\n56286 61004\n38391 83880\n46911 97601\n25571 55001\n13833 20970\n59589 91264\n11247 91420\n12215 96448\n18480 28172\n40542 81673\n41197 54886\n74757 94656\n77567 92251\n82452 98569\n51762 97352\n793 51927\n29590 47723\n69560 79791\n64705 71707\n68868 84860\n22691 59658\n56353 98446\n13626 91447\n26368 55944\n3231 55884\n3053 95791\n57192 96597\n26363 95381\n40294 69125\n9413 65312\n32102 82105\n1841 18615\n17749 35124\n36142 45237\n18565 58445\n50142 65100\n4729 81101\n3432 5433\n26849 35687\n34900 52149\n43800 76809\n7159 89535\n12951 61338\n30407 93165\n3635 97980\n94524 95500\n33509 39553\n18359 30860\n15794 78918\n28533 74659\n25034 78905\n1600 19488\n65853 78277\n17754 19126\n15137 60936\n5759 93827\n64890 66410\n30290 96039\n15233 45377\n78126 85505\n66205 99136\n18647 93831\n77683 83467\n44710 71614\n14568 36602\n75986 84755\n2702 66711\n17428 43552\n34168 71715\n62173 95264\n50640 72304\n188 23091\n72088 75544\n357 99625\n37202 77497\n65620 97032\n955 80941\n24753 93022\n39969 40064\n29644 73759\n48722 71289\n1247 13483\n27038 76489\n11951 94439\n48887 62985\n68229 90802\n38202 63597\n47504 90949\n1458 8261\n361 2206\n35481 53999\n35870 75301\n44043 44659\n33533 60448\n42354 47856\n47103 55540\n22869 39177\n49487 74598\n17400 37601\n55624 57818\n8648 70805\n3885 99913\n30829 37254\n50002 71673\n32885 70324\n32649 42092\n44427 99175\n51120 87584\n90769 94225\n15472 56221\n37951 63760\n71255 98823\n30255 83078\n28464 35729\n35481 49268\n68665 69988\n18706 62225\n38735 73984\n29398 32936\n415 980\n24263 42751\n7868 88520\n2190 71356\n11736 88261\n7153 8941\n7485 98467\n27144 59221\n31773 96782\n51374 78373\n1043 46180\n30492 37636\n60027 90448\n8143 13767\n18664 22995\n22692 81909\n8069 29710\n11098 64238\n4303 91827\n37729 65350\n12604 98367\n14715 34685\n46721 69376\n46681 89377\n54128 93682\n87943 91525\n29295 73833\n59517 61943\n6583 57792\n11914 80034\n2204 14678\n17470 30657\n30987 82964\n17753 97966\n10276 96509\n2684 25934\n74473 96929\n4764 54050\n5337 46916\n32837 42095\n16871 37467\n10521 22614\n561 13341\n86304 90103\n10245 57238\n6504 33093\n17863 58055\n16284 66544\n12561 90455\n24561 38484\n23903 76205\n10580 61867\n20175 93579\n4966 66741\n81269 91207\n7073 72904\n58436 67549\n21642 90995\n36257 84484\n44028 67838\n7265 45148\n39209 72561\n4802 16877\n18940 42132\n35369 37508\n13535 64809\n11021 26262\n32665 51257\n32847 89856\n28620 65002\n4986 89217\n81638 95527\n5000 20542\n76965 99891\n24656 61733\n4867 71076\n19535 20213\n24254 77222\n1688 41251\n30032 52150\n7699 72521\n14816 97577\n15748 79516\n15190 40889\n81343 90648\n39791 81017\n62526 69197\n86758 89614\n29080 32713\n44628 68075\n17832 67848\n57926 85252\n77604 78660\n54433 93416\n10936 82436\n23915 57406\n26681 67247\n9463 60283\n16942 91417\n44600 82141\n25544 35562\n79290 81991\n2969 59315\n86434 93950\n45291 93017\n8708 20520\n39378 48077\n41268 74828\n18601 68853\n84920 97824\n49065 53253\n3760 4212\n11507 65776\n28108 76878\n37029 43564\n43649 45893\n49265 81408\n46223 67042\n18654 73077\n13409 48305\n45400 55288\n51380 99208\n29252 69904\n13969 90748\n23364 57405\n31396 87290\n36336 82396\n79390 89092\n14227 90314\n15450 26135\n2217 46207\n45145 76250\n64556 70766\n40585 82489\n11122 19989\n27490 42598\n61575 79943\n65567 78294\n97838 99261\n10728 14117\n37768 50617\n5701 26735\n26760 69735\n12563 70158\n62784 98074\n29099 69146\n62575 78047\n4422 47308\n12142 98732\n20633 77110\n63314 78390\n57122 82744\n4903 51327\n6124 45778\n43160 52691\n23837 97882\n20237 35486\n19842 26106\n56121 77334\n50022 70863\n358 40584\n21124 58304\n51987 58239\n39431 67195\n21574 96273\n530 10102\n20910 23458\n78719 91358\n29743 65941\n56525 63630\n34902 58191\n19617 72935\n17445 58875\n23381 78305\n45388 47268\n42618 80624\n25206 32036\n14263 87982\n2492 41870\n27504 90728\n65143 72328\n75616 92667\n34380 96435\n38069 54772\n57503 68818\n20247 62213\n19124 66119\n24364 29626\n14218 43176\n31651 64927\n38647 91095\n5277 76421\n7354 37125\n75980 86161\n13656 88529\n26500 99232\n11195 96886\n4224 84959\n79268 86071\n30064 50325\n5948 34120\n84428 99402\n22922 87679\n34483 81626\n6764 69882\n45696 55934\n63437 80638\n3184 50775\n17589 38077\n73751 84045\n54120 63923\n40794 60925\n1106 36926\n5202 76626\n21531 68832\n92783 94402\n29121 49811\n11861 49898\n52357 69571\n15947 48217\n77651 97286\n3524 5826\n32935 38658\n65840 66442\n67458 87978\n45154 81475\n46569 51465\n6525 39426\n39866 61398\n2708 84653\n13215 60667\n7993 9774\n21849 45681\n51810 75217\n42350 69948\n19558 56225\n49679 97450\n5143 26858\n17293 39782\n24510 80863\n36922 43878\n63713 83845\n60528 70635\n48634 71273\n1201 10078\n90482 95646\n14460 34302\n29762 55755\n37523 87523\n9255 26372\n30476 52218\n13194 62872\n32726 91862\n18485 81298\n28914 89329\n24841 51964\n38043 41375\n51745 75271\n17966 42832\n33420 64686\n33625 75124\n38759 64921\n38982 58991\n57696 84789\n52644 91720\n50197 92272\n575 92246\n22827 61478\n77676 80159\n53175 84527\n31149 76382\n29354 90566\n48061 59566\n1460 53059\n4826 86665\n16444 56695\n82325 85699\n13819 64459\n33285 36429\n81095 85383\n43459 94386\n8747 51440\n22482 22947\n20488 82640\n20170 38996\n36957 79267\n29735 36625\n67248 75955\n38309 39632\n23122 83048\n8307 53243\n2588 49901\n21528 95427\n59323 97662\n13120 71606\n33409 71273\n15431 83761\n739 79265\n4925 78023\n22321 47890\n21493 48058\n36341 50496\n26485 55178\n65659 89929\n10887 16872\n5053 81392\n82298 99696\n34230 69873\n10660 67772\n5924 70755\n10724 97808\n10192 80697\n10767 32836\n4276 70917\n5631 38864\n56783 61758\n70051 75893\n9764 55619\n5097 99027\n1934 52021\n42964 72293\n10838 99019\n30143 77869\n15765 44488\n19201 73240\n75678 83165\n59623 69895\n53972 97002\n27268 39782\n25719 41746\n36286 44462\n10617 29014\n46196 94268\n75650 89053\n56700 58478\n48142 61599\n68082 74851\n21843 83343\n49293 96827\n3270 94174\n30053 66365\n70783 76340\n69980 95197\n22629 26313\n83268 92676\n2890 10142\n3186 4730\n26137 81077\n48548 62182\n60323 90267\n37651 87722\n77627 96043\n30268 51229\n7357 62888\n22482 61024\n46490 72280\n18903 97721\n9329 41623\n1221 47627\n55237 62949\n55752 66880\n8354 79790\n34026 64005\n21121 82018\n4135 30232\n69907 71978\n43330 96125\n22734 94263\n10694 63012\n12777 99229\n40103 45366\n28019 78831\n32943 55476\n8136 21050\n67950 83308\n8608 39775\n29977 52006\n68328 88806\n1759 80715\n199 89171\n48776 51702\n53899 72737\n52792 58750\n46837 68151\n46846 78386\n90133 93961\n15711 20458\n54094 60417\n10104 61092\n47111 52918\n48135 56113\n9017 70108\n50371 94861\n79874 89721\n19748 56611\n21053 39616\n68161 88604\n38029 77948\n31013 94609\n3470 7151\n24355 55640\n89343 91970\n5653 49778\n21785 85185\n14879 84029\n48345 83766\n63919 99972\n81385 89320\n16995 18260\n53647 68944\n2635 10125\n63204 86953\n27061 77091\n40407 68569\n52025 62603\n7622 71642\n10762 46738\n22867 96020\n23052 77641\n44537 97625\n19215 88904\n23207 25914\n82954 98854\n46732 81631\n50369 99379\n34455 47347\n24111 47747\n56755 83590\n21818 72498\n6166 54624\n61259 75078\n1792 42798\n19551 28298\n13890 23482\n53062 73598\n20918 92941\n18609 70471\n28125 71112\n58516 97359\n55373 74356\n3270 73902\n5864 55387\n74891 89412\n30172 36074\n13673 68149\n14856 25736\n35630 54003\n49945 68820\n16917 80778\n58350 93979\n41375 64986\n5704 89168\n2168 74188\n69412 84810\n52251 99392\n51805 70850\n20790 39344\n260 34235\n24942 90436\n16058 74739\n3155 6011\n7266 87995\n17518 75873\n2089 25914\n39267 55733\n80921 97431\n36612 70477\n6466 95455\n26613 94446\n118 64373\n57637 76360\n6945 25954\n31719 71809\n35068 72129\n71107 99357\n31340 58049\n9829 56905\n13351 97177\n37557 39634\n80140 81832\n21105 59975\n21322 99737\n6740 49264\n80577 93178\n73273 78082\n34807 96064\n45284 71984\n60703 86380\n24423 59069\n8571 94307\n37386 81296\n80721 84459\n32088 97165\n3345 32057\n16748 62940\n47929 99574\n20941 38506\n43440 69282\n36282 48963\n8149 99944\n51408 61327\n8874 50256\n11046 69963\n58026 69720\n29336 70065\n21881 65226\n34252 90253\n31559 90444\n10310 94409\n34092 99107\n14382 45514\n92508 99178\n71908 99030\n25483 48633\n8390 47519\n68259 81027\n311 6859\n960 53076\n90827 96758\n21460 42574\n20852 80986\n24931 71316\n33468 68265\n20749 97396\n11896 22866\n21224 97343\n19048 45476\n47277 55750\n75854 85098\n64157 87042\n53227 93399\n13033 78235\n49008 51197\n24292 71383\n957 2400\n52621 95491\n686 97723\n23529 46201\n18215 37642\n16942 28187\n6547 99158\n66985 91780\n13178 84296\n50681 76234\n12649 88598\n27142 39471\n85962 99471\n56957 96562\n16492 19074\n47124 61030\n1641 83364\n8856 92246\n19266 92202\n58820 75101\n37701 48117\n72757 76591\n17490 61921\n23873 59087\n19936 63247\n34626 98217\n35 70004\n6716 99570\n60251 73679\n2560 89157\n56117 85905\n2849 15225\n51184 65148\n11936 61236\n18194 74057\n23817 84997\n5218 25504\n30204 58471\n11356 77184\n86830 96321\n17621 46175\n7971 9216\n5412 80044\n62635 78683\n26767 89400\n64807 70859\n6152 32085\n52746 73368\n12726 76129\n26763 52611\n45776 94819\n36774 64336\n23530 26678\n28467 62468\n25726 58637\n66550 91305\n31210 55050\n88655 97523\n4412 27413\n58641 98955\n12806 26398\n37972 82075\n60000 66988\n44363 76152\n11758 94561\n34772 93470\n71992 82379\n44446 82396\n9554 71020\n19230 83848\n1195 55826\n49452 86634\n14477 90394\n15591 80646\n84830 86345\n53863 55203\n8098 96335\n39475 91406\n65735 73830\n24936 63695\n9462 34987\n9359 83722\n4534 9657\n69712 74911\n27291 72240\n72305 91504\n18273 35822\n17210 36045\n4171 26562\n7032 87460\n60231 74224\n23224 37342\n8589 48816\n57331 62403\n34025 71066\n966 49964\n33764 37620\n71033 93239\n13903 90459\n95380 97814\n46091 90927\n44338 93299\n20864 75738\n29076 94137\n4148 25832\n21418 50342\n19453 51694\n94249 96048\n6017 7067\n94344 98667\n11566 44602\n1701 89203\n42469 68254\n44954 65863\n36650 44516\n34066 60335\n4334 43955\n1937 33710\n31293 44843\n15633 83505\n1222 76078\n37077 48801\n35048 82839\n4626 77322\n7774 49449\n613 55502\n22841 50299\n37318 39163\n9406 34436\n15460 20445\n23242 99551\n44196 65908\n39232 76535\n33131 93509\n28000 87594\n6241 30938\n91984 98403\n750 6024\n62530 82447\n51820 87801\n4373 83436\n27527 72096\n33325 37751\n52499 54027\n2810 37645\n19258 77836\n7199 50095\n19319 92781\n86781 92391\n29582 64587\n31778 82379\n19496 23359\n32257 85679\n56973 84407\n7623 29249\n31700 46392\n3884 61644\n20303 48636\n22020 78582\n86883 95197\n12550 67715\n11316 90051\n5361 89543\n46803 62159\n26755 63154\n3973 49132\n44764 63872\n62290 98278\n49866 70463\n39627 40323\n62715 96200\n4058 51760\n18446 21658\n37930 63998\n49759 82841\n26230 50388\n51768 57705\n28201 92829\n34807 88960\n35273 67611\n30164 70252\n47651 76018\n29813 70425\n25883 30714\n45887 81489\n15749 32826\n27802 80381\n6161 85754\n955 99869\n3691 33263\n32727 41125\n59257 60638\n41940 83789\n29700 46468\n13158 48979\n24918 78297\n38491 56307\n14149 71762\n4947 22813\n2931 31192\n23639 82521\n68306 86981\n11427 66972\n48491 81957\n2142 52475\n14461 92244\n12260 56915\n23352 29665\n68679 90991\n8186 61922\n48864 73251\n50811 61847\n10848 33045\n34595 88827\n57849 67092\n16195 99395\n60478 70357\n15803 96688\n45235 58666\n20448 37905\n39526 97007\n13675 99809\n51318 55758\n44192 45427\n56718 96773\n21687 30186\n56192 99983\n8580 40365\n42624 68124\n3773 34087\n28587 53975\n48652 86123\n54159 59231\n30940 49530\n5429 11613\n37175 94320\n15401 47989\n45690 58317\n74874 90090\n18036 98697\n1200 66897\n27200 81380\n44785 69861\n3958 51479\n10402 94941\n12262 81231\n52197 57056\n71461 84875\n5959 90856\n51384 81480\n29655 72605\n27061 34148\n54674 77340\n43737 96110\n20441 83455\n60097 62245\n45331 88077\n78556 92430\n76203 79065\n18730 49550\n22938 53166\n25990 90882\n3295 71926\n3152 79895\n8542 9979\n2919 75066\n56504 81349\n27833 80728\n24368 97362\n11281 89286\n40304 68134\n52438 64932\n9783 32782\n28565 91373\n33144 89385\n36791 54399\n36414 98343\n4507 80540\n70736 76029\n44956 96270\n1545 60647\n64291 81801\n46619 55722\n55875 87676\n27169 29544\n1121 12226\n22805 30919\n32172 96196\n42460 46792\n58574 88569\n67785 96516\n912 88291\n32559 42977\n3240 77373\n58477 74799\n61527 78571\n6556 69268\n31250 32920\n93088 95897\n43604 59076\n82985 85923\n28308 84234\n28103 55344\n65196 82146\n1761 83921\n1475 1850\n2048 56029\n38631 62770\n55974 66910\n36744 82625\n42429 87921\n45685 73174\n70274 87151\n37388 73710\n19988 93713\n29900 84431\n7898 16184\n26161 89014\n29071 60456\n12441 66765\n67358 90747\n57812 80119\n10043 38488\n10169 26846\n39072 98666\n31446 48982\n560 1233\n19616 72135\n58877 82119\n28210 64425\n4704 90336\n66006 85631\n9132 36479\n42216 54060\n20882 70258\n58635 75985\n13793 13928\n66613 88580\n45035 87130\n68897 78860\n16907 24356\n35224 76662\n35977 38976\n1584 43149\n12903 96863\n24069 92249\n25179 81293\n35301 96529\n42606 93482\n53792 76464\n41974 86170\n26844 67073\n13099 92363\n23189 93363\n10969 67787\n26410 35228\n69791 75779\n24370 37309\n7597 57242\n13002 13335\n30609 96283\n26471 88643\n15630 82052\n22894 38753\n70918 99767\n1425 88713\n80524 90829\n16216 52203\n13480 90498\n4663 60249\n28544 55698\n62770 94988\n19389 45927\n25243 32766\n67 77446\n79810 84355\n16775 62753\n68350 89952\n78991 79652\n27655 89240\n14993 96834\n22010 78113\n35188 36773\n24749 96992\n62524 94962\n30244 50820\n6872 86197\n31945 35965\n1712 19444\n57035 88661\n8005 25414\n12237 62334\n32495 93003\n32364 96467\n49764 92806\n39614 45359\n2571 77894\n35213 90546\n1900 22784\n383 33921\n37590 56294\n34310 48347\n17891 71324\n90051 99125\n31454 32450\n16590 94848\n33235 36824\n1763 80392\n76222 82385\n6539 58200\n90431 96712\n18699 65180\n16806 80799\n54559 67867\n60161 60234\n26270 50067\n7904 96130\n66804 72003\n8948 90822\n42688 85918\n70989 96062\n94243 99073\n61865 99609\n18105 32004\n52114 97840\n10470 76639\n41658 49747\n35900 42531\n82837 95448\n25249 91426\n60565 97764\n7461 47798\n24362 88871\n38553 46153\n17909 18743\n25581 88477\n45513 75249\n5943 31686\n34834 86734\n2758 85131\n52183 90233\n13601 32280\n22884 76999\n13947 40323\n68544 75919\n38560 44760\n12259 22746\n70512 88910\n31027 82396\n71785 98600\n25405 48570\n37553 68379\n35995 81515\n21975 32128\n12389 13358\n50402 56602\n7779 10794\n23314 26918\n39676 87562\n71848 99377\n51195 53978\n34186 65578\n44759 83987\n58656 87470\n48136 67083\n17663 34940\n26262 34961\n40466 64591\n16840 59911\n32467 90814\n17542 37804\n25461 96378\n21989 62406\n25679 34690\n59031 76997\n14118 96628\n42166 54824\n31698 89735\n65253 92462\n48616 50151\n4369 93907\n18288 37917\n31760 31901\n10495 16915\n51693 71083\n4551 86777\n62074 63273\n2974 63333\n4964 34189\n20192 31596\n6332 72571\n24929 67759\n20773 65473\n40282 81762\n72005 98686\n14141 25178\n36696 64068\n40816 47789\n1407 26408\n46098 87595\n47406 82798\n2322 46135\n16781 91030\n31025 93230\n28291 30418\n45299 93989\n73016 95615\n15170 97145\n4062 98743\n29971 41125\n54275 89325\n38315 74729\n55439 87735\n12477 45437\n61856 75217\n73188 99988\n19161 95184\n15000 37748\n27338 32896\n34183 77666\n30571 71078\n11670 20890\n67280 77054\n69513 84834\n7650 87544\n41710 73594\n51366 79788\n22782 33313\n19999 93058\n31885 81268\n7018 13632\n54897 99907\n90545 91434\n7340 92915\n79860 96228\n75005 75266\n41762 51808\n402 13381\n20218 43187\n40197 50736\n26917 31009\n61052 90476\n40418 80956\n20157 34266\n10024 75171\n15575 37770\n3089 66361\n1824 75578\n53501 70648\n20655 52109\n56119 61949\n32787 95028\n7416 41193\n27444 94247\n39063 62024\n10247 84812\n57575 82411\n55179 63034\n7636 64309\n3314 95790\n34309 83526\n45509 96709\n1179 16510\n43300 68913\n34605 90220\n31568 78664\n37742 89342\n37761 68511\n24993 32153\n22054 42229\n24196 30926\n57253 87922\n29221 35467\n66125 86349\n12719 41133\n5659 83238\n78391 92641\n84297 91774\n36563 76833\n21144 85007\n11005 76083\n11687 26148\n11835 80932\n539 40786\n23238 31908\n78090 95111\n6904 80798\n56923 83820\n1250 39122\n94916 97411\n33497 98427\n65314 94520\n46465 96069\n13039 17586\n23285 57007\n2988 11177\n49023 56502\n67813 84078\n18093 80211\n55087 72298\n29953 52904\n5952 39626\n24252 48450\n32381 76281\n47673 60031\n55775 95783\n29749 91063\n45395 49319\n57892 80366\n13422 94665\n6170 64330\n33458 36744\n52191 56471\n80327 81560\n1458 76193\n37566 51811\n16052 36712\n5743 63735\n51406 65036\n67654 82537\n38929 92423\n89998 90155\n21713 84652\n20214 78321\n33506 59860\n70072 95662\n14101 27426\n6817 93738\n144 4975\n20307 44711\n36905 97479\n36284 57241\n11411 24151\n5607 81200\n23261 45635\n8396 85094\n3558 84751\n2710 94299\n74725 91460\n9090 39296\n21279 49226\n72204 95629\n29284 32521\n19818 27864\n16405 42871\n18011 68850\n15166 40137\n70957 74105\n22165 45281\n32657 74204\n54162 67772\n13023 13119\n19453 35754\n4336 65757\n56199 61440\n43818 80806\n34229 43270\n36317 54738\n74339 92841\n54433 79584\n34461 92445\n33533 89634\n63917 89431\n38555 62320\n84309 88442\n85880 99627\n23735 64496\n12061 20398\n8107 41348\n69242 86877\n27953 84745\n12103 32141\n55974 63958\n46507 90793\n64551 87502\n55563 77499\n31815 99468\n72084 90437\n85472 94851\n21256 28934\n29666 45928\n16979 40346\n15005 87208\n52638 91325\n33711 87646\n13656 64396\n46114 82573\n93643 96036\n42816 47609\n10619 62980\n8894 19310\n245 11847\n50291 57488\n15516 75379\n48156 78719\n59757 81463\n47549 69511\n12919 19375\n3217 6732\n26796 26818\n20788 93188\n17140 76187\n31984 77487\n8741 10309\n76775 78202\n56628 73128\n7395 12796\n30585 66814\n41315 96109\n51253 69472\n39634 70814\n75108 85929\n60405 63636\n57386 98294\n44551 82498\n5072 37275\n23894 80412\n23147 83840\n11737 51941\n11976 39654\n86759 88716\n41735 90775\n5139 76834\n21610 53779\n55334 70141\n29622 32121\n2590 54013\n47876 82940\n11761 57222\n79068 80080\n72019 77087\n26544 36553\n33586 79201\n77430 90542\n8907 52907\n40358 63455\n68081 98939\n39203 96751\n38053 50385\n18747 58296\n20699 23476\n27146 33661\n6500 27248\n47888 91191\n29000 74907\n53272 66177\n57130 87816\n1453 71605\n75028 77098\n36243 60059\n28735 45069\n8062 69217\n40382 80216\n18601 35829\n24546 70380\n40451 59285\n47249 55523\n40534 59763\n36936 88244\n91285 92111\n68907 78017\n11516 88370\n92935 95522\n13526 39862\n31584 61093\n27709 69492\n35509 88730\n60844 89303\n19700 61836\n15390 36177\n516 3297\n70637 84164\n71843 82602\n35593 89550\n25250 54577\n3129 98528\n478 99036\n24519 27747\n39477 79602\n29320 29959\n22939 28379\n36248 73114\n5914 66684\n4221 44821\n41416 99376\n38395 92638\n13991 63165\n17543 99335\n24509 35942\n54674 60123\n21498 49508\n8945 27986\n8828 28586\n26032 75740\n13538 48086\n40845 66126\n39087 49894\n25104 60691\n17239 67169\n63455 89786\n17356 32614\n23253 29544\n62261 94660\n14002 90163\n57125 61689\n28600 82284\n7889 55830\n14498 56235\n8255 12805\n53305 64266\n23884 98843\n6074 84323\n9390 78635\n63647 82370\n26972 58530\n3682 40596\n28101 90839\n60274 62449\n40789 41705\n22597 97935\n5014 95353\n33586 36522\n8336 68891\n15578 34367\n60493 92289\n41152 45326\n15738 37359\n51689 68074\n28785 83879\n81940 82226\n27053 54823\n72969 80360\n5471 73554\n5345 21324\n2900 75815\n62668 79271\n8173 75759\n41663 84757\n87711 90449\n54215 59903\n32082 56138\n40997 72127\n47953 73837\n24954 55672\n26638 86068\n9948 84704\n29118 96592\n7261 90508\n80085 94965\n7451 18380\n40347 81791\n27066 42446\n5205 17848\n1520 57110\n49687 73977\n35737 86348\n50255 74819\n1172 1882\n11517 12963\n20697 94425\n12590 18073\n12466 99288\n28324 99764\n58154 86287\n40113 97907\n73042 81570\n10701 50473\n46184 77336\n15460 37836\n18740 72132\n3414 27908\n28352 31336\n51050 98036\n1948 54377\n16359 37979\n3278 44430\n57784 88643\n4086 36389\n41649 68783\n30365 65035\n12386 21179\n72738 84201\n13529 31203\n75892 94467\n20512 51519\n14522 23939\n2641 55266\n80459 83089\n39140 40658\n24932 37977\n1779 35603\n65100 89343\n1816 86466\n27302 82499\n11857 83485\n30585 34238\n4800 13442\n4054 80747\n43542 60454\n74867 93030\n38096 84826\n22845 70291\n37018 99631\n29643 58349\n10245 18517\n82174 98987\n34408 40185\n12793 37286\n27837 45313\n12588 39809\n12520 34416\n46102 84045\n66407 74878\n45614 50584\n1942 68679\n68 62156\n1675 68078\n23257 35153\n7882 14537\n6121 17396\n22835 35368\n19470 97793\n7220 26977\n18334 65613\n13499 48367\n429 92265\n37574 96867\n35003 55412\n54571 92693\n66195 93704\n80232 96771\n27679 40113\n48893 89625\n33248 49349\n46293 98094\n46615 82090\n63813 79405\n48207 94076\n1880 12520\n52490 82633\n41546 86236\n3582 87960\n4169 50882\n80220 96754\n1785 58289\n29111 82767\n40882 71771\n20170 37824\n14308 66759\n10896 21250\n80237 84133\n70396 95775\n20506 71987\n30816 49111\n38869 45933\n72563 99105\n59681 71274\n4382 46190\n86897 94186\n13457 20898\n36643 98957\n54237 86708\n1515 59801\n35954 78550\n41799 96520\n18365 98410\n15616 36433\n10499 21200\n34622 83611\n29897 74399\n76040 95764\n35175 59115\n9225 96774\n12508 22738\n35145 36630\n2439 15777\n16355 77410\n10894 19903\n71825 87753\n18868 66799\n2977 36961\n19964 64097\n63844 93846\n32948 79684\n78764 84775\n68547 83895\n76054 98976\n20724 37244\n54134 75428\n15483 51065\n10476 56763\n6530 49786\n19986 72005\n29350 74080\n64589 96324\n18947 60982\n5434 25697\n45997 52315\n53164 69091\n62910 75557\n21858 50257\n61657 85863\n66937 72322\n5591 81466\n27946 44289\n18106 93645\n16323 43364\n5490 73341\n8475 30915\n56474 66654\n42904 98165\n36186 74514\n19188 95748\n3305 49170\n19136 44062\n52736 98503\n20454 57978\n25163 81754\n48010 57349\n5862 31599\n10748 47362\n41557 49676\n27574 63794\n1515 80117\n10422 73016\n9967 82578\n31824 51350\n17525 24066\n67816 91739\n1286 27904\n9811 53964\n97100 99496\n45406 45536\n41024 76316\n13587 41340\n37819 90144\n5954 9109\n35018 58968\n12980 53801\n52531 89816\n5198 63344\n31519 44295\n76095 98759\n5423 54134\n26736 37448\n16832 49514\n89826 94534\n11753 16368\n4022 15223\n43714 77315\n1009 38010\n5819 18782\n31041 45408\n9169 33426\n74461 81811\n2287 16380\n14278 16604\n69492 72118\n14185 79084\n13818 81567\n29612 90934\n24459 93358\n11411 85078\n10040 72263\n5801 35086\n63919 69364\n5000 9046\n33486 48606\n5459 17712\n32838 37940\n19332 78221\n14326 64042\n82982 88468\n30347 56773\n51213 74526\n64512 65655\n14136 86679\n11557 65492\n10599 31792\n41992 66812\n24690 37217\n16676 70946\n3187 18376\n9441 28669\n29618 88976\n5787 54062\n13097 39335\n85097 96531\n51209 79041\n36685 57263\n18486 25402\n77243 96209\n60732 71250\n72653 98408\n20029 46506\n18525 89375\n9140 24517\n58339 76577\n61466 69455\n5553 45579\n51359 79099\n41955 63065\n633 2160\n33948 90915\n55125 84624\n29202 66385\n25562 62697\n8936 38047\n82027 84320\n38803 78670\n578 49813\n14354 84825\n43297 62840\n21224 94645\n27905 42103\n10633 38046\n74278 79405\n10289 73634\n20913 24086\n44821 94197\n70233 95376\n57247 80611\n34602 48891\n13096 72617\n8876 65728\n35100 53481\n20183 58444\n16205 19992\n56686 61316\n59091 59331\n17697 24586\n55639 97632\n2629 73435\n33057 80763\n88839 99706\n46162 83862\n29346 80178\n3954 38140\n12902 46677\n17574 36755\n7011 12814\n16163 18066\n78354 83049\n46612 55200\n27622 29441\n61478 81118\n38799 97354\n58868 77800\n31185 43043\n78161 99792\n57981 94230\n42320 74684\n11667 94956\n52025 72054\n21452 37612\n4927 36583\n8225 91224\n16609 49509\n2842 84717\n123 38084\n28991 66195\n24749 89623\n59533 77519\n19 95088\n18611 82821\n69539 90852\n26864 97031\n76889 82006\n8595 21609\n29843 53392\n86310 90454\n29270 50574\n4531 54244\n62425 82809\n60347 94610\n44065 79409\n50512 70096\n804 5007\n84786 95519\n74618 96563\n56497 70142\n9046 84628\n89889 95907\n26300 75424\n23736 71704\n57759 85295\n71976 90753\n50833 77730\n62498 69396\n22703 55109\n9364 34989\n85847 87300\n34737 56778\n42703 92865\n45505 66709\n28425 94431\n67569 80624\n13240 26403\n46576 68588\n62479 82008\n37009 44257\n57315 91333\n48652 62545\n63993 99886\n14237 81110\n53921 97008\n17177 80763\n85913 97113\n19011 37652\n40667 87037\n10587 97572\n27375 76094\n46916 88156\n35401 45398\n50703 94094\n33819 43628\n71396 90603\n3550 22326\n15650 50914\n54300 61440\n52100 67567\n51674 96100\n61783 95428\n13226 73207\n81869 89646\n30518 67401\n34171 75136\n29917 72601\n6118 80789\n33306 37538\n20961 32387\n19420 85690\n26851 58826\n17133 46682\n20924 84291\n64618 71291\n22955 94493\n21673 28612\n12148 79682\n30260 70981\n296 99272\n35782 71823\n46286 59686\n28643 42024\n34348 50117\n1774 75602\n86238 98323\n12643 82065\n21085 55243\n26592 34940\n42718 88771\n10151 68944\n22377 68184\n21247 77434\n28171 92500\n14560 91050\n95478 97430\n5932 57630\n16905 84337\n47421 67420\n60555 96258\n29790 36143\n6984 42314\n74633 99141\n85474 93031\n86276 91642\n67873 89340\n26538 51970\n4270 82554\n23359 82543\n7246 20691\n20394 63787\n3508 84589\n46737 93778\n43342 45246\n36450 86977\n58591 59578\n56848 96672\n58760 66465\n47427 83286\n72963 74216\n10861 41645\n90965 95418\n59139 69134\n7397 78523\n74003 95923\n24102 43212\n76108 88238\n3541 63047\n55768 65932\n71419 73264\n16352 34527\n63586 94608\n41167 52086\n80266 89576\n21906 50821\n68898 75708\n19651 73369\n57191 81669\n11857 87185\n61200 96286\n59093 70952\n41093 57274\n16410 35512\n47810 73442\n62762 88806\n45617 99511\n46719 51055\n50391 86581\n80130 90930\n5812 36064\n63263 64257\n5440 58012\n21267 89692\n8452 51099\n66057 99679\n22861 94224\n66547 95512\n43675 74029\n18941 31119\n59860 77774\n31539 32207\n22925 59883\n23176 52534\n9233 89081\n32075 41492\n88956 92895\n11660 34290\n8036 62346\n62469 66416\n569 15856\n721 21401\n34331 38139\n20366 27591\n69646 95426\n34092 70597\n48994 85098\n38962 47751\n1579 30391\n16874 33044\n74843 87245\n18754 77087\n18101 49676\n38107 66140\n18436 32268\n11882 75744\n54386 61931\n39728 77310\n11299 27373\n25315 45893\n74776 77397\n2755 85303\n51510 67560\n277 20610\n11889 80097\n18329 50289\n47362 47560\n21160 95067\n64733 91945\n88689 93715\n32158 94368\n14273 72781\n34876 87156\n71382 86585\n65900 86129\n36965 92184\n80792 88405\n39627 98310\n42147 54908\n83162 95045\n41043 66149\n42263 47017\n23721 36770\n3279 98697\n80350 82653\n5559 10813\n21121 24393\n31366 73608\n6307 28135\n53260 66070\n1296 35913\n4835 29208\n13939 37425\n4367 64909\n3829 15041\n25870 70304\n44209 83013\n1197 21432\n13371 70531\n9855 94197\n54604 68354\n38089 76047\n20537 44064\n37397 78399\n31758 71550\n12518 33003\n50266 80215\n4509 87826\n40982 70731\n21779 44127\n5608 30670\n40560 43252\n21029 85475\n16972 70747\n78806 79866\n8165 8255\n18281 21223\n24088 51541\n16772 49577\n41669 80085\n30401 59931\n64433 69123\n54187 77866\n16119 43953\n34779 83563\n8524 99196\n17032 37321\n4005 28677\n26093 81393\n12614 17192\n19606 27209\n41279 60139\n483 94631\n41503 91975\n20970 99516\n33125 82756\n51166 75711\n4311 46646\n16626 37006\n24509 31857\n4062 89836\n70730 81260\n43337 80517\n39697 59209\n16780 61403\n26973 85616\n61402 85259\n69500 79803\n23701 37719\n15624 81360\n77547 78428\n24746 39098\n46224 67746\n60903 89095\n27123 88701\n56075 89618\n23984 95744\n13928 34030\n31522 86872\n67207 93801\n28300 75098\n45489 85042\n27247 95422\n26581 51479\n79681 92565\n27220 79201\n31089 90375\n18406 43664\n35160 64256\n26429 28496\n2960 16052\n34639 70254\n39361 44039\n13485 50702\n81224 95851\n69431 75874\n31916 34266\n74247 86149\n5601 80081\n35237 58748\n79888 98404\n74367 88764\n67106 95271\n17323 91902\n96994 97251\n29844 38384\n10573 19633\n2894 98682\n45039 58247\n60604 89006\n63310 86752\n32436 64546\n33444 58357\n36757 93785\n63803 73936\n17246 74374\n21252 51098\n11247 29333\n24275 35505\n13615 46118\n6217 43689\n18553 43193\n21056 77911\n70599 94734\n19404 68936\n15551 39014\n44153 92254\n59101 76941\n15857 69711\n26124 83492\n50456 63305\n8902 73621\n37126 93470\n50889 58998\n10512 31886\n10555 39895\n34932 84024\n4327 36541\n59238 86884\n2304 77237\n39116 46378\n18602 64466\n2265 53868\n9791 81391\n16023 59777\n65014 66763\n14661 31377\n8770 32679\n62971 73820\n55405 80552\n15613 18406\n49080 81083\n92140 94644\n33524 78277\n49319 74183\n16111 83853\n39240 55055\n42226 95349\n76596 89021\n17362 99285\n33274 40988\n4641 31669\n77190 95312\n61259 62196\n3259 62294\n59279 86665\n14822 48426\n20275 91532\n24306 90811\n21055 40351\n24889 93484\n9934 44989\n1693 52454\n17705 48716\n19071 31499\n35952 50633\n11260 16774\n15848 58857\n60639 71108\n32625 83005\n71589 82165\n27381 55974\n18435 24481\n51528 82473\n32680 81845\n96033 99819\n25689 39828\n30909 32025\n49502 53153\n52436 69391\n15798 23606\n53885 84271\n74325 89856\n79247 80575\n5797 50603\n4348 37780\n26630 69624\n34953 79039\n69190 99146\n58097 92968\n29792 77512\n33238 61074\n34762 76460\n16939 72321\n47533 88224\n62537 92014\n4732 8300\n21419 80947\n89006 99364\n8976 83429\n62179 97464\n49994 68986\n41381 73923\n22491 73002\n9132 23366\n22446 87758\n48682 87592\n27346 66947\n974 36500\n24333 47467\n15632 96327\n42476 95353\n17607 40204\n28050 35208\n53219 80903\n11176 90275\n44432 59078\n32503 65473\n12543 29834\n27698 98147\n29970 67500\n6133 95611\n44465 74414\n32375 53612\n40270 85232\n40185 86579\n359 73803\n12393 50888\n25499 96850\n16003 17033\n9145 38714\n11416 80393\n12594 67151\n90960 93995\n60515 69795\n49 56945\n30902 40367\n21250 72002\n22509 92266\n18778 59954\n33859 48952\n84017 97192\n23788 53732\n88706 88731\n16422 45865\n69572 88701\n38895 70064\n19377 52914\n35951 36047\n34321 97213\n31308 34374\n17021 60807\n4613 69431\n63057 64668\n63760 92801\n23436 71913\n60041 94734\n46528 48285\n28553 85495\n57355 88322\n31713 83542\n19197 44227\n31594 66008\n35198 50782\n25266 91479\n22850 66557\n34011 99773\n39871 91757\n10592 23127\n21545 84893\n31505 35766\n28301 84154\n15248 48661\n15254 19691\n30318 32170\n6962 7159\n28616 86551\n65615 97011\n16195 87067\n5093 7435\n21530 47829\n64256 71231\n28197 45647\n62811 75833\n24714 51244\n45859 48884\n7867 29774\n15261 29610\n82490 92088\n26496 82803\n62844 82346\n85198 90323\n31994 80920\n8001 88258\n27070 74117\n47698 80202\n16231 83847\n56351 93812\n26358 71098\n63381 65851\n8195 66636\n1871 12901\n66100 75547\n63611 74142\n44619 76445\n22539 61990\n52845 89110\n59468 75099\n3330 87779\n6152 72300\n75727 98992\n9114 31748\n54649 72559\n22530 81278\n42541 98530\n42001 94283\n36507 69559\n11901 21274\n31463 51862\n3620 25742\n46091 79284\n24465 58311\n28760 89744\n17592 48432\n76795 88346\n38592 96656\n20859 43564\n6953 39481\n30539 47344\n12829 84857\n79115 80782\n16270 16950\n46968 54938\n29401 72091\n18294 54304\n9027 49898\n9907 64562\n17913 74419\n75214 93554\n2197 54916\n18834 58362\n59248 78179\n17467 38792\n10187 47830\n45403 70978\n4469 74960\n31265 87389\n63435 81643\n66309 99237\n5531 48265\n72071 89561\n6287 46111\n31740 38315\n23715 68363\n62770 85921\n26359 83464\n7669 79824\n68803 85755\n31002 74351\n71345 85503\n25790 68239\n6441 32336\n24500 44323\n9902 42905\n14222 42099\n1175 95583\n26158 26957\n75814 86996\n9684 28810\n49815 73993\n11911 62748\n36179 99904\n29211 55149\n5917 92247\n32546 76283\n27533 27917\n7323 31672\n34563 84388\n79355 90717\n8357 11771\n56336 70268\n75132 91490\n16642 93646\n29440 38495\n67038 87775\n50305 61534\n30066 86641\n46276 58741\n12945 44858\n7619 48804\n78493 79112\n84234 85222\n58329 70729\n13095 93077\n38890 61986\n1535 14386\n21044 50927\n9674 69980\n8774 93545\n42260 90676\n66245 73087\n32905 47360\n3521 45376\n79874 95876\n4144 69853\n83147 98390\n1160 16910\n6078 52855\n17804 74619\n29152 65829\n1735 56669\n21966 33286\n43687 99667\n13178 54061\n54329 89273\n42382 53429\n31186 63586\n3754 54541\n84186 89296\n9200 14272\n87106 95580\n39761 89804\n4211 40625\n19540 40701\n33782 43999\n32300 41377\n11454 50839\n71878 84899\n46607 73227\n60341 84571\n62885 77001\n66895 74994\n26376 50251\n45674 92574\n19144 80646\n6048 85012\n76300 79689\n58362 87712\n57139 86612\n975 81753\n26268 69432\n32060 68850\n67493 87832\n70208 83479\n31993 73420\n25521 77983\n8479 14285\n9235 66671\n21800 98117\n36916 85854\n23724 61556\n24070 73373\n85854 92087\n787 21192\n24277 97080\n8374 94502\n12436 25030\n33284 58396\n42614 83587\n5710 28051\n38954 68725\n27040 57533\n57820 80046\n10626 24337\n20040 95861\n31694 57373\n44491 69304\n42750 78534\n22900 98246\n43866 64132\n27015 62327\n54052 71264\n3022 84022\n59073 87079\n44762 71323\n26170 71846\n21314 32213\n33809 47950\n43101 74515\n29100 60849\n23469 79231\n26165 92379\n70972 81211\n25082 29845\n77179 86770\n28558 45399\n12669 46308\n8559 56152\n34321 59239\n43041 44820\n17792 36043\n16048 95967\n27159 67848\n18427 63749\n62630 89698\n46541 86428\n49568 74285\n9252 31091\n70335 76241\n21947 87535\n4130 26994\n44227 99739\n58460 90328\n31730 54858\n17643 80612\n12135 41879\n14940 76233\n7604 96472\n28226 86017\n77362 79304\n9292 9357\n10042 71227\n7484 64361\n56088 84603\n4075 32004\n24244 51284\n25654 81106\n32759 80539\n80482 99115\n18044 79026\n22155 31629\n7116 88082\n22408 99394\n43848 88564\n84998 90432\n16824 33154\n29745 88857\n50026 64242\n55334 87086\n38167 43248\n27137 82902\n27904 46173\n52877 69531\n1529 96035\n77401 97207\n69344 93427\n3340 78475\n51579 64887\n22489 43782\n40385 83292\n26031 29138\n42366 85718\n48344 85211\n67218 99407\n13097 96245\n13599 69771\n88769 89115\n613 59358\n26164 97955\n28022 88461\n26121 48569\n13444 85448\n14970 61266\n40136 81635\n28081 30006\n33952 47878\n55212 57294\n39164 44759\n22460 26834\n31888 74614\n3871 66236\n66140 84379\n64633 79025\n22484 33340\n46848 49878\n42417 94069\n12444 46202\n34734 69651\n54740 74592\n10687 55479\n77735 95286\n65993 90023\n8592 42270\n46837 47113\n7615 65660\n21415 87921\n28340 69965\n20682 32946\n26824 41479\n42041 53500\n35020 64950\n5139 44364\n16951 71134\n23448 56421\n6707 15240\n56307 65598\n20574 70323\n58329 87682\n33669 52336\n44611 80734\n72964 87518\n10871 94517\n46480 92311\n54352 81954\n42837 97838\n46884 71203\n37774 65536\n81097 96194\n13683 54562\n21484 86498\n42624 97437\n50525 78774\n11086 41339\n26210 99026\n84377 98027\n70370 97522\n22195 24217\n22493 27711\n63345 69565\n960 43217\n5395 12570\n69459 99038\n22401 36949\n56337 94875\n43351 87620\n16375 32057\n7430 88751\n53365 72309\n35294 74692\n8164 64181\n37836 83652\n6635 36581\n14667 23165\n36102 77063\n54109 64301\n18988 34367\n61547 77229\n554 3114\n10402 21346\n35917 76452\n82486 99151\n59781 75992\n26373 97495\n38792 64402\n26354 68897\n11451 55205\n7210 17475\n39740 93902\n11769 65617\n53386 73464\n81049 97683\n39650 47949\n10612 17121\n39186 82671\n2204 98920\n27644 56119\n44068 88352\n21525 91390\n53027 64057\n23683 63619\n50149 70147\n41704 82092\n57165 99457\n33532 46903\n14496 22722\n5976 85774\n7483 67847\n85379 85905\n39529 50474\n31681 83789\n16800 70083\n31265 80988\n7445 73533\n13879 15117\n43781 56183\n14880 28484\n39962 98914\n68715 87894\n6350 43561\n2390 40776\n25622 72784\n70530 95047\n1581 72354\n59920 75488\n667 45208\n14854 92756\n22682 34444\n7704 57888\n40064 60344\n9298 17420\n48873 57870\n24848 65565\n70754 73878\n86307 95490\n31361 37779\n41565 72928\n5764 26948\n43620 92424\n88077 95465\n25457 25683\n26276 86012\n62753 77088\n64695 81282\n1152 77446\n6361 48765\n38162 60906\n58787 78076\n13232 61923\n10189 56165\n27770 68557\n6829 53729\n32174 74247\n82 50947\n82554 90192\n20984 31761\n26186 70917\n65858 86637\n9972 23749\n48376 69079\n14813 61363\n45919 83931\n64740 71561\n46117 87449\n67171 91419\n31766 93161\n13717 41105\n23193 97480\n66034 85222\n59562 79447\n89607 98264\n1732 87196\n4565 17961\n37006 88787\n69335 95293\n37492 47530\n11819 56846\n14310 83128\n14528 86617\n3807 97180\n2500 10264\n18472 73286\n34713 83497\n14172 31306\n6691 75790\n11412 30049\n20703 43461\n37540 41167\n11870 76594\n29666 48657\n5192 36440\n60314 87295\n21285 97729\n29834 34362\n16588 70520\n47208 55054\n21509 96259\n49184 52860\n76582 81828\n53462 68388\n25518 68381\n65489 69898\n8844 79745\n72761 85842\n83909 98444\n8075 12996\n38690 94147\n15505 20085\n94516 97924\n25351 77795\n15309 92948\n12444 30486\n7357 57650\n25493 87901\n9787 66837\n7975 55725\n10747 46260\n39736 48379\n3968 90856\n30672 38842\n70513 72411\n43635 73043\n743 21319\n1587 82210\n19517 22896\n7271 27105\n24549 77430\n54728 88605\n50624 85666\n62253 97335\n94604 95099\n28324 73629\n26585 91477\n45210 64664\n19920 66963\n8627 33883\n31702 66811\n43777 71039\n63083 97354\n45124 54936\n81 41235\n9912 19936\n12390 27669\n69886 98554\n8237 44448\n31499 41015\n4957 53768\n14616 14931\n60211 87112\n10270 25755\n53042 77989\n50316 82664\n2399 63611\n14493 38027\n8559 26503\n7361 72424\n21596 27479\n8354 11124\n61769 78443\n34864 66411\n24529 75652\n78719 79585\n43175 77561\n59378 68005\n22141 36760\n8227 14786\n55367 63820\n44448 62909\n42414 81474\n51325 64682\n27251 49455\n43606 65031\n42742 71226\n48988 50479\n61199 61758\n64446 66007\n10665 74350\n67943 82555\n16620 43444\n27967 66933\n22239 45286\n57101 99217\n19434 51983\n20211 39930\n69180 69237\n49965 62231\n59937 61875\n35321 76458\n60105 92271\n8449 19107\n7032 98545\n17652 86025\n44744 70137\n15085 63577\n74272 84751\n20987 99716\n54638 55855\n39746 49495\n20188 54656\n19715 84553\n5008 46491\n82561 89408\n35281 46129\n25744 53192\n19898 67229\n28509 66469\n43777 53656\n47698 96044\n16481 17763\n1860 32405\n45106 97234\n56419 71012\n28414 29721\n7575 64995\n18933 34134\n65889 84503\n23064 64485\n15279 58190\n43428 71143\n1835 15092\n8094 65039\n10594 23614\n57976 97770\n34676 36953\n42525 54657\n64300 64334\n96136 98836\n28437 59038\n24468 69391\n27661 56508\n2452 53154\n95409 96431\n3352 44993\n5147 95572\n36983 62104\n17194 53694\n44653 50097\n5631 87816\n18017 54425\n7336 86436\n16484 87696\n21705 47683\n76763 85441\n36792 59841\n24454 40817\n79700 87625\n59481 59489\n56178 66101\n65132 95352\n55692 81444\n3520 56534\n21290 21780\n40528 75027\n56254 92840\n26978 68124\n38093 93041\n18705 96949\n34108 41924\n67597 73872\n23017 76825\n71371 96325\n4849 5514\n50793 76038\n13092 62259\n10385 88917\n50642 72343\n17874 30445\n30337 40169\n29630 62853\n23728 34994\n7602 70850\n27539 80443\n33375 36649\n59908 77733\n29371 47850\n20336 21861\n21618 81645\n60518 95810\n3130 56810\n19685 75724\n51288 82286\n3942 13509\n24970 98752\n15068 32500\n27210 74237\n55717 65643\n44844 47296\n47143 62215\n63349 89695\n32300 74779\n54027 58422\n18464 28463\n63886 97249\n5048 45670\n22556 61996\n76454 89413\n27470 99370\n49961 66797\n41215 88761\n15571 56925\n47437 49268\n46314 90837\n34242 70601\n28270 61912\n2342 49736\n31867 94104\n67746 88864\n16635 18804\n6253 85158\n2802 80863\n65278 65400\n58757 90200\n15420 50867\n47951 85109\n8502 70433\n18011 42267\n75302 84456\n42643 84697\n35147 55873\n29347 79992\n37796 65579\n88738 92613\n41375 85648\n66559 85256\n29604 80757\n30967 36632\n19823 68280\n7654 58078\n34204 39656\n1633 59190\n77454 97309\n10312 63597\n6418 42013\n23272 60053\n2288 18491\n32643 97334\n29815 46888\n57127 70895\n13190 83193\n24344 70393\n18995 72465\n69269 84604\n64736 78992\n12560 78930\n20630 22213\n72216 88926\n64374 94906\n26385 55091\n34777 60283\n50631 94583\n7809 75013\n44788 72166\n74702 86925\n1812 46993\n14585 72978\n34646 91842\n3752 19153\n9561 18836\n38246 63554\n5716 71452\n13865 33727\n15806 57692\n33880 74143\n4074 30423\n87917 89601\n11060 81017\n47181 76909\n18636 79150\n13363 79679\n70674 96925\n34354 99980\n3156 75520\n2248 90097\n9899 59829\n51860 62868\n58136 78998\n5360 14694\n66542 76877\n32528 47876\n36884 48531\n5749 53289\n57767 60012\n12015 46772\n13606 43703\n36101 41059\n29140 45065\n62075 77316\n39035 84178\n31528 33700\n25093 25464\n15791 47945\n14781 93568\n15364 22578\n60641 69900\n37281 38588\n31588 97791\n43249 86190\n3919 87495\n21010 88663\n29176 86701\n21468 52107\n4012 17551\n21290 61424\n11334 38996\n777 31317\n76997 77762\n69374 72795\n24759 27649\n55986 59271\n64580 79294\n29405 36986\n2929 43811\n36219 81482\n42661 82102\n34555 72492\n4414 28494\n17701 51300\n48324 66117\n39736 81996\n6173 96520\n53636 77267\n46443 63869\n31019 85406\n26362 96801\n64843 76365\n3579 30972\n57562 67087\n82122 90605\n17472 17832\n56800 80433\n59883 63150\n5718 74875\n54663 90567\n8769 60042\n25734 54702\n8246 9090\n57015 92141\n70031 72235\n49511 83811\n45973 47564\n41593 99051\n25852 94892\n67268 90613\n5863 55155\n25318 91662\n11851 69839\n6631 39367\n36895 40855\n49265 57974\n35433 96529\n13718 62636\n7452 30964\n58526 87117\n36744 63859\n3851 73358\n5496 80931\n44074 52629\n2244 40021\n10350 54100\n43672 79691\n38920 55731\n4359 56815\n6190 99333\n20639 47591\n17928 67708\n12366 96912\n26778 31115\n25163 29083\n17986 97347\n4078 75972\n26905 93569\n80321 88835\n60301 95463\n46727 88240\n22305 46540\n9087 87045\n24619 77913\n66793 68293\n42939 60672\n3893 6022\n8401 25339\n15683 23728\n43940 80222\n78936 92454\n33185 60990\n18103 42952\n7824 90974\n43761 67653\n71456 93293\n16121 63879\n11593 63900\n38851 46603\n70894 87415\n335 31828\n23769 75048\n22839 98202\n6260 7083\n24654 43765\n17877 86546\n12272 29587\n75483 89366\n33443 44906\n16934 45709\n18274 71220\n16406 66403\n44648 97630\n50488 90268\n31461 60427\n67743 87744\n29639 65211\n63906 97222\n18671 82783\n14880 41298\n7554 18072\n9760 23641\n11339 94700\n26345 78767\n19761 44381\n13575 76585\n51527 98008\n64818 71327\n49286 64152\n31655 56945\n6570 98124\n15708 26186\n53912 57023\n41338 42110\n47041 82395\n56616 77682\n6565 63228\n41989 70023\n84983 93797\n72937 94434\n58047 64180\n48881 66001\n36017 83334\n21798 90641\n7619 44057\n2767 53361\n17924 70315\n69395 89007\n36080 47425\n7231 86333\n56288 66437\n87638 96519\n19997 37097\n60809 75781\n73648 91412\n77253 93702\n29545 59787\n35834 38004\n7845 89160\n74072 84262\n8604 90780\n20196 24571\n16903 81421\n50248 86602\n25494 32531\n50487 88915\n12597 35137\n22410 45010\n38078 93280\n4545 14265\n18858 91426\n74507 74978\n9983 56284\n7096 20800\n1910 4524\n68669 90307\n54880 77130\n31754 88076\n63008 87873\n42470 84501\n13394 63362\n45802 86320\n75197 90785\n80138 82664\n55882 95032\n89209 99334\n81299 81817\n343 57276\n77420 83971\n68845 81681\n51037 57522\n11133 26468\n23124 58950\n9278 81674\n73874 82318\n32054 46891\n3643 97864\n13535 81464\n62660 99259\n21610 99606\n11404 47265\n693 20118\n53355 87066\n8800 74793\n35039 92014\n15046 71707\n44779 76150\n50555 97222\n7823 93778\n62599 90894\n6217 76569\n23258 69030\n8602 40644\n49145 59754\n21993 98613\n23154 87242\n34038 60194\n20048 29411\n16434 24165\n57505 86633\n24725 70503\n26116 50380\n40321 41410\n11523 36739\n51106 76886\n58083 97725\n18854 67618\n36828 95083\n36442 95237\n18164 76901\n26590 65274\n61 94400\n37744 59401\n12354 79357\n41011 50304\n14112 83765\n7816 65777\n27589 68262\n21141 30253\n76515 98378\n25539 37050\n36279 38613\n63229 68433\n54463 54902\n49448 53620\n38755 49640\n30132 89577\n31328 35990\n19652 97643\n2050 27755\n10101 49815\n23623 71843\n4975 70946\n50253 60220\n8843 71031\n71119 89652\n7133 18471\n17719 80214\n26272 90673\n44189 96163\n2100 67684\n38215 53154\n49410 65998\n52824 70623\n38728 39200\n7988 28079\n15123 46638\n79457 98014\n69537 97346\n9595 13427\n13809 36639\n10617 72993\n94905 94963\n69466 78614\n51461 66775\n93848 98463\n57583 64462\n10681 43071\n9081 76044\n90942 99669\n58514 97614\n88136 98879\n23771 97109\n9559 20947\n66957 97639\n151 23569\n36805 83626\n7278 46037\n36099 43262\n66538 70768\n39204 67944\n25149 87598\n52051 57019\n44958 87188\n63780 67576\n6630 64792\n45020 69645\n9902 36182\n22038 83608\n13676 18678\n71908 78886\n88506 93680\n6257 68562\n21656 93434\n7635 14602\n10532 42696\n33088 47035\n17931 18724\n53098 68952\n54390 71654\n23003 89189\n49525 60405\n30210 60427\n27605 75232\n15632 44046\n50923 76716\n65440 98904\n62752 88016\n35378 98754\n100 91415\n30650 59193\n15503 89902\n26764 98670\n51657 65141\n13524 52008\n62495 93016\n4409 31760\n28815 80511\n13142 95293\n9916 26391\n88773 90901\n970 99289\n15842 80079\n1395 74680\n45006 67736\n17111 52353\n32204 80000\n13977 56974\n56348 99891\n4368 20767\n12206 30143\n8551 88622\n5349 61058\n62886 64403\n58710 85268\n672 33219\n9491 49993\n19627 73954\n2452 9333\n68604 89402\n35784 56597\n18115 44807\n6893 40820\n59347 82462\n19961 37539\n63326 96775\n28880 94925\n45522 47383\n47656 75402\n21109 81001\n17787 93359\n29347 37309\n1598 13391\n42724 80722\n32035 73894\n52814 94722\n820 86980\n81814 88871\n80998 84085\n50800 75792\n26102 63150\n15281 78114\n30994 40041\n26861 53841\n17311 50863\n9945 65079\n42620 45981\n12096 78886\n48081 64518\n47271 71157\n59539 92081\n4073 91027\n58709 77174\n16078 43425\n89874 89947\n21125 71138\n51950 85412\n8714 73310\n27985 47544\n4134 80379\n18856 50652\n10663 94061\n22241 98139\n81134 95067\n15533 80108\n27898 41102\n61716 70974\n45259 69061\n14609 37701\n55701 76099\n67780 96450\n14312 28070\n83669 89589\n54288 65524\n36718 59386\n67528 93414\n31965 85102\n63388 89897\n15605 96978\n25730 43985\n13041 64955\n77860 84197\n40579 51920\n24045 41608\n46472 65382\n41638 60455\n7676 98349\n18013 60398\n73085 86828\n30472 79437\n57977 65724\n25636 94773\n17244 59576\n7339 91268\n30885 47923\n27138 89137\n17167 29476\n40365 99357\n9704 36847\n55326 90045\n28064 66477\n4369 16006\n5100 33260\n12261 61505\n40321 42240\n23260 64628\n28222 90539\n26516 68430\n59220 95577\n59349 89895\n14638 73151\n103 22347\n50933 99293\n4877 17502\n29556 97371\n2328 10836\n33008 44853\n59661 90367\n58996 89686\n9646 88154\n31361 93562\n52926 86535\n29667 71127\n62008 85165\n1318 22108\n9777 56092\n75124 92482\n35780 48991\n23600 72855\n20200 51885\n13872 67534\n44861 52256\n62354 96645\n4263 31330\n22738 75117\n33496 47614\n51863 68019\n44433 74683\n7344 86788\n73829 99167\n37369 62967\n41313 59745\n60341 96106\n30441 75886\n17459 26602\n22928 27867\n21636 98515\n73879 91512\n84065 91381\n41048 69943\n36980 44034\n17650 69770\n11391 30984\n60399 85151\n33424 83302\n17464 79487\n1227 18877\n20336 75672\n4881 30877\n43158 93095\n6584 9284\n22160 52048\n9392 97898\n73577 77401\n53837 99320\n64549 94873\n90946 98020\n4275 22910\n37863 60878\n63499 83641\n1586 87249\n39766 41458\n2469 73975\n13880 52841\n31569 35339\n48121 99700\n50529 60744\n45715 60545\n91883 94191\n92576 92997\n20413 54859\n57061 69371\n47188 66481\n71743 95875\n19370 45834\n18645 97633\n33195 61441\n62809 65060\n6127 11246\n3935 92392\n78658 95697\n17363 99322\n17653 62947\n12679 14256\n47010 54560\n18288 56358\n48299 70491\n5388 53459\n35535 79472\n20177 59831\n60716 92366\n4123 45610\n45790 74560\n33040 90829\n8787 74219\n18634 49054\n53786 72892\n83882 97575\n50365 86111\n54422 69478\n21611 66254\n29695 46893\n33496 88590\n19050 87045\n74870 98160\n66022 76348\n47095 56271\n53209 56212\n38394 80443\n27016 85467\n18387 73591\n84154 99618\n66983 90781\n33249 82368\n26575 33822\n39319 46934\n12630 79331\n6163 80049\n72086 84910\n2328 60883\n8701 17275\n11458 64468\n29339 69241\n5568 82630\n48715 86237\n14968 16852\n1096 23053\n15496 78097\n25603 59152\n26026 29426\n65486 94441\n16797 25493\n47661 78501\n68519 99311\n14738 53688\n17106 57510\n26500 28114\n18200 39453\n37925 81514\n39288 86518\n28370 87007\n17264 91840\n9860 54499\n22986 73695\n2893 24532\n89892 92804\n15320 55070\n18746 96997\n83766 92917\n3847 6423\n29569 95739\n29201 94669\n77666 81138\n14496 29208\n47169 69132\n32761 63650\n5187 88471\n22938 86317\n2571 92970\n54460 83919\n34470 71190\n56775 70390\n27411 76552\n79151 82629\n18684 67830\n46965 55279\n60280 63602\n37214 47309\n50644 64323\n3080 90464\n48607 50700\n6340 30886\n15031 25283\n30167 70119\n96603 97588\n4552 34962\n23874 32951\n7490 88314\n24217 57094\n9934 43109\n12490 16021\n54390 74600\n14283 40334\n35835 74941\n71283 84354\n7587 10871\n30216 47332\n29575 76377\n81770 93769\n18214 18738\n29007 63902\n24224 95968\n29973 62028\n87076 93320\n77589 97111\n30265 93321\n14429 89276\n9250 15085\n68192 93261\n25886 49305\n9951 41401\n9300 97970\n27717 47464\n64200 76660\n49921 69064\n12220 33429\n40726 92039\n12446 91744\n55776 94973\n48253 82576\n1499 3623\n57163 62391\n13904 85151\n32061 88849\n40895 42996\n74038 79238\n3021 81008\n2968 27929\n10468 58156\n61566 65705\n452 57384\n1577 31431\n59968 65008\n28340 65812\n42744 72112\n82305 97473\n33793 86427\n13391 30676\n19069 91326\n46857 56701\n56580 64112\n42621 47982\n24217 99090\n69059 77283\n17727 44841\n7955 46505\n24851 66990\n46857 90660\n74154 75983\n2039 82203\n9622 89550\n40535 82754\n26625 65543\n37776 65530\n653 94206\n76538 90233\n32348 56580\n12987 42718\n2983 15550\n47773 89518\n34132 78474\n73803 86302\n22674 23229\n27849 88157\n9254 84346\n7273 99520\n27634 69273\n50100 72234\n14108 24958\n5803 47440\n5250 83610\n20015 56266\n46748 98037\n28617 96704\n10657 36460\n13332 62203\n17019 37720\n33444 47996\n1341 83746\n64817 96480\n13501 97052\n68808 88978\n8132 90238\n9417 28174\n5295 24308\n1802 5474\n33339 61742\n26386 27549\n21881 47048\n43497 64486\n30585 98437\n25306 50623\n28792 48138\n6673 70836\n37498 84597\n56839 98112\n34912 57315\n3102 55098\n8502 37386\n8433 22910\n17402 37313\n31267 66740\n64288 77725\n82382 88107\n59884 78022\n8681 93248\n80674 94293\n6748 14748\n18772 19418\n36892 78028\n90830 98192\n66889 73493\n15540 83391\n29781 85782\n1880 32197\n10851 76812\n10714 34217\n53828 93068\n643 84497\n28993 47824\n18462 95127\n37007 66389\n51869 55194\n51651 94212\n2891 81517\n14663 77856\n11341 52527\n373 37736\n11763 15038\n29519 34265\n58981 81810\n86153 94875\n62783 73463\n11969 24524\n14685 46750\n7807 25489\n12131 16678\n62666 68045\n79704 95732\n5092 15607\n57543 99052\n26453 84062\n56582 61914\n9875 81815\n26742 83068\n11499 83091\n3820 49599\n68970 93178\n59634 72359\n32603 87839\n36821 72590\n38267 87298\n568 56220\n18284 76857\n39069 46635\n52571 64111\n886 56497\n9187 67731\n28589 45590\n30347 44503\n10202 98743\n73423 77983\n26072 42838\n2982 59900\n15621 61136\n28881 45951\n37009 73693\n216 23807\n55518 85975\n1859 78938\n9504 74592\n16379 85316\n41255 78316\n23527 24617\n52305 74463\n3339 92845\n1804 42530\n26089 79555\n58395 61942\n62078 90814\n8454 56027\n1118 12260\n53420 70330\n11343 87732\n57719 76523\n47642 55375\n50429 52616\n16858 87780\n44189 75127\n3509 59164\n19373 69713\n78864 91184\n5371 94451\n1882 50455\n26170 63307\n88951 91941\n48715 51783\n80541 96324\n60913 95329\n65472 83860\n8574 72268\n50318 86850\n14946 57774\n26811 26849\n58367 72111\n50283 98833\n5890 23482\n9824 86329\n39165 78137\n39117 89933\n52342 83425\n12663 86618\n70138 89057\n51534 86300\n18552 83635\n23637 81473\n10151 37148\n34492 66333\n44905 52020\n19237 68193\n41808 84515\n60334 64465\n14771 63022\n28181 92248\n13636 62326\n50884 86548\n50334 85658\n20962 82368\n46481 47355\n66489 92682\n27779 33221\n5931 98445\n42258 56650\n41988 57561\n50755 89153\n14699 24050\n83398 88234\n26818 51724\n14193 38402\n2204 22286\n29309 33711\n25568 59745\n32594 76535\n73310 95416\n59428 93374\n9844 57540\n46345 49111\n39452 70450\n5939 67066\n87554 94409\n18936 39787\n19075 91747\n69707 95144\n27152 70848\n8935 35414\n39850 67279\n18745 37542\n89581 91089\n5524 63047\n12553 50316\n8499 61229\n19907 93447\n23726 93150\n71571 95162\n55853 66151\n48523 56881\n8991 75534\n25509 44477\n19896 68364\n54215 96404\n42643 91661\n8638 65303\n8947 34406\n15668 94511\n70831 75573\n52635 77490\n72870 84058\n17697 44702\n4054 97869\n63529 69771\n17456 26376\n45995 48156\n3177 57569\n20926 89996\n40601 88076\n2336 16052\n47301 49983\n39860 52784\n11406 57471\n73297 86449\n25755 62791\n12915 12961\n18538 42342\n19591 60680\n21682 25917\n567 98173\n45382 51921\n47141 74473\n26885 47769\n53301 88623\n61865 81549\n19796 86300\n52350 66474\n13728 70925\n49185 61725\n73077 88606\n36354 99478\n64451 84587\n28155 49243\n37637 69198\n80406 94990\n65758 94725\n6865 95852\n13153 44290\n16477 66469\n25863 35703\n53913 75637\n2830 89962\n29129 76980\n24978 52634\n49788 72520\n90709 92484\n29896 87674\n12967 73566\n62525 81190\n72666 92435\n31856 89107\n13775 65757\n71798 82742\n8759 57997\n61195 67435\n98854 99250\n23867 76851\n47558 98352\n22032 85004\n36633 66691\n19291 80295\n39748 67442\n64032 69318\n37092 37602\n9765 40455\n57700 87672\n49771 81510\n87271 88953\n9435 11217\n8593 33764\n17651 87807\n46003 88510\n42931 80203\n47243 96585\n41019 62239\n65049 82191\n35249 85470\n56740 62393\n8926 11186\n32762 83465\n4640 70950\n4530 20454\n81778 99065\n66756 69044\n6332 14343\n32085 77099\n25610 69879\n47549 52056\n39487 97591\n23062 48586\n44277 55431\n8879 94898\n15017 65267\n2934 10580\n385 59353\n30481 99922\n33352 54912\n67906 78247\n87578 90554\n6986 89366\n11122 42086\n51574 83977\n1381 11451\n46800 48290\n72860 88439\n58174 70482\n66554 98672\n50023 77296\n28872 79123\n64661 69821\n17257 70166\n69871 99783\n13509 52736\n61891 79633\n45792 63476\n5596 36181\n27628 91493\n63722 81639\n65394 86612\n62406 67472\n24220 30724\n61153 67090\n8034 81961\n29465 44799\n56727 73653\n16250 64472\n20182 30935\n22351 34163\n64474 94604\n53789 72720\n74203 84777\n73727 85787\n77806 94695\n32989 68837\n8561 21978\n27938 35201\n51103 91191\n56078 68433\n87946 98660\n2567 98834\n44576 62123\n35083 74845\n69062 83554\n57732 97434\n54371 81515\n39786 54497\n26482 86778\n53734 92474\n58307 77696\n21008 21691\n7882 23081\n53085 98299\n31675 37617\n22860 53092\n8580 18962\n37209 49328\n55248 71205\n20044 35356\n22354 47568\n71001 78143\n63468 91691\n14469 68463\n30085 97404\n4892 87248\n36154 46049\n65066 99017\n60318 76871\n5590 94728\n40572 72349\n28727 60918\n48401 70786\n24794 53557\n81012 90219\n56074 63443\n2580 66001\n66074 79198\n32545 97733\n3091 14642\n58679 63991\n87956 93575\n26011 52915\n14025 42777\n86783 94179\n3527 70622\n21362 24789\n10230 17365\n20335 32343\n14663 66454\n15311 72400\n52438 70878\n31320 73736\n16657 72406\n75875 98073\n71547 75172\n25598 62334\n8275 99699\n1115 21247\n13188 63837\n60720 99856\n24389 97472\n14225 89362\n1718 94601\n11016 24832\n47958 93846\n4272 84524\n1264 60959\n35839 69096\n9807 24295\n10582 80550\n778 48095\n20766 39791\n47660 72341\n290 24182\n53517 95128\n2825 92049\n27408 86234\n23916 45926\n26835 73267\n16137 48016\n1274 17508\n6268 47553\n87422 96546\n50047 68519\n47208 72027\n1936 47404\n42515 61240\n42089 97734\n78130 82929\n69228 97512\n15593 75291\n88870 90322\n6104 20604\n6316 38905\n40140 88923\n68884 78268\n625 94890\n13084 20563\n69938 72282\n8844 32009\n43258 62205\n33998 72167\n37332 98106\n26634 70258\n23475 51716\n41995 75542\n67249 90757\n16993 79945\n66461 90295\n1833 22764\n21597 72039\n4434 22045\n38214 73792\n34159 62161\n4064 12371\n88590 88849\n37923 94816\n11490 28561\n32771 83394\n9154 10243\n61938 79793\n29335 29698\n26931 51140\n2882 80638\n18149 65433\n5905 75069\n42330 97997\n3479 69585\n59387 92029\n42853 45601\n6935 57562\n20683 97499\n33081 59846\n1368 16193\n25120 89504\n30053 99304\n3579 21027\n73 98427\n8625 15901\n38609 39805\n4665 46459\n50787 63861\n5064 79479\n81372 97142\n40184 45828\n20033 76589\n6826 37129\n55058 69513\n20136 67875\n44366 95708\n24523 99121\n61426 65802\n24896 86242\n26568 72835\n46206 85509\n56063 83402\n84004 88673\n11911 33477\n62011 88395\n14228 30820\n3191 56021\n33677 79108\n28150 78580\n46658 47199\n34830 35057\n21115 50282\n57796 89586\n43209 49843\n19328 27721\n44022 63063\n33521 85435\n79923 85142\n868 85961\n61473 87276\n37823 51997\n54590 67044\n342 7023\n14764 89381\n73895 88126\n79700 99101\n5176 79391\n24041 92563\n19954 27523\n6819 25804\n33146 36134\n92985 93515\n38163 83070\n27949 82661\n48888 84160\n24925 94225\n20406 50770\n4616 79469\n14207 95028\n10948 57055\n56527 63294\n12221 20874\n32091 90463\n21923 59472\n9699 35765\n73330 90892\n42098 67763\n74230 96111\n33210 69125\n29086 82852\n53559 65124\n25456 53518\n76666 84206\n66117 66858\n20846 50390\n53328 98197\n41086 63187\n31868 50483\n50675 83379\n19044 33707\n30910 60674\n5703 48208\n25385 74469\n11329 70651\n15034 27106\n32444 79847\n11444 73121\n56214 86431\n28133 90105\n91310 92587\n8534 66777\n12547 51245\n2841 79881\n246 23624\n27120 50022\n43569 65296\n54698 83913\n39955 52672\n4644 58091\n678 82802\n54077 70834\n27261 72744\n17010 59577\n27348 29012\n58648 85070\n36763 86978\n73880 82215\n640 23742\n19191 95385\n5464 66056\n35145 63326\n74780 95992\n23240 94394\n41037 84241\n49299 62434\n49122 72159\n42447 95549\n22630 75210\n9806 69863\n46380 74450\n70591 84556\n21213 28274\n438 5769\n36231 40574\n48132 84297\n78874 84461\n8220 21981\n14447 25317\n26549 60463\n45372 87493\n12826 53030\n8985 39955\n1341 40979\n24422 41748\n14005 26432\n46860 51127\n54699 96012\n37670 78468\n10543 79316\n14003 89281\n75359 98546\n20521 53911\n64152 91949\n43910 90213\n78365 95259\n7405 55660\n47452 76124\n3653 18825\n2258 27369\n16777 26312\n62777 97907\n48129 77307\n88943 95868\n8752 96307\n17633 31885\n77609 98776\n60948 94848\n15065 23685\n32547 37337\n37931 58686\n65308 73007\n24910 54296\n59222 80824\n65988 89580\n76548 88606\n17853 35996\n66958 98397\n43621 80038\n40827 57086\n3704 44760\n3048 57959\n62516 69538\n20535 88546\n66841 94467\n10742 35828\n51672 83198\n1470 1904\n47705 77253\n11426 51057\n68766 98390\n26088 64236\n31507 75608\n16120 80125\n37217 48453\n65009 87149\n52349 96654\n5309 20877\n9259 13668\n49081 88999\n45012 61045\n2554 30159\n29432 40622\n50362 77330\n25003 83446\n21560 93991\n46082 53319\n15080 36583\n3709 73138\n5256 64678\n22394 55989\n11544 77315\n32789 93512\n95786 98953\n62501 88845\n16226 92631\n30970 82949\n52599 97372\n22448 89857\n82189 95786\n8252 76625\n1962 34490\n2532 80988\n29470 98721\n50283 97576\n30057 90346\n55507 66520\n20713 47942\n75885 97841\n38347 52824\n34372 72216\n18548 35585\n35267 45648\n50611 96751\n7058 36602\n21013 70503\n17501 66494\n42643 91246\n8964 16251\n40922 87253\n28437 35069\n170 92591\n6808 99412\n47731 62149\n11035 71590\n23185 39500\n23162 71759\n9132 28235\n3871 40847\n81100 82821\n70062 79282\n39425 77301\n2950 54455\n13930 32258\n66672 76781\n27082 97074\n2116 30780\n62901 68452\n47016 97720\n25637 86449\n6866 87689\n1731 72482\n13185 56523\n85103 92760\n21458 45317\n14179 84651\n51778 68212\n3563 71684\n36094 86685\n54558 83182\n25022 60766\n31946 91486\n49363 64375\n86530 90263\n8804 34669\n22325 39629\n4573 22493\n22203 73260\n74249 75395\n10140 10761\n42436 73758\n74887 88222\n57796 60619\n69446 85939\n79595 81981\n20010 44578\n77586 78087\n31605 59046\n7159 74962\n34270 69699\n21772 87603\n8625 46374\n39068 65389\n6923 43528\n15511 84540\n7151 13177\n10105 96916\n55432 88947\n26539 80501\n17327 36999\n24007 96909\n68385 73958\n17542 35008\n12703 48795\n52399 64601\n40545 68868\n7158 82692\n8934 91662\n17477 91757\n50418 93767\n2026 33865\n59460 66454\n11334 27801\n7287 99684\n15292 79161\n39963 78265\n77262 92168\n6382 91842\n58612 68609\n4072 18376\n74756 80840\n36819 59579\n707 30182\n5394 66118\n18285 69397\n30978 59493\n31335 59060\n40044 77637\n36407 41374\n68872 81295\n41755 42143\n69518 91969\n55887 61762\n48892 90383\n66536 94574\n7144 95207\n44535 72466\n45415 90583\n36031 83748\n61671 97153\n49194 75720\n15358 92521\n14147 95765\n11972 22618\n3600 9922\n5028 8007\n41912 56053\n84172 90041\n1006 17603\n82303 82823\n48340 54140\n23699 88499\n20143 71762\n61976 71948\n48608 55194\n15005 96637\n10741 46355\n54029 99672\n47536 97023\n15491 25441\n59610 85558\n319 31314\n12264 77452\n6883 15572\n2769 54769\n52498 64050\n14307 60000\n34536 93552\n76625 86166\n518 96592\n54753 63491\n86848 88007\n15499 89611\n33379 73242\n11071 70762\n16143 36136\n60114 87982\n14078 15323\n17674 21450\n41697 55596\n50380 83332\n29044 39809\n23700 25955\n13856 55968\n8865 18768\n5203 68782\n28376 67497\n7251 31997\n32626 52224\n32757 46618\n48126 65884\n45906 89915\n73167 89429\n6852 60205\n9362 9769\n21558 32334\n54818 96428\n85245 95783\n41765 98309\n4387 62253\n65916 68545\n6184 85464\n17244 50266\n31254 75233\n48974 54602\n53978 66764\n10555 66325\n29025 45587\n7646 65864\n9270 99301\n21146 92018\n80856 81568\n16253 29709\n7332 31190\n52425 98609\n21423 82783\n32921 68916\n19182 78447\n25170 87098\n43793 58295\n70591 94334\n21369 22497\n27950 83337\n41716 87576\n48900 82198\n59640 92015\n48201 90890\n91094 94388\n70146 98984\n54069 66935\n51022 72249\n38119 66900\n44816 95126\n56847 67567\n4577 39877\n48758 72483\n26462 47873\n70152 86031\n10480 14290\n9636 24407\n6267 92924\n39830 96229\n45827 52138\n37711 76633\n3302 9326\n21164 75794\n66612 67855\n28411 73332\n27342 65952\n14374 57541\n56100 70603\n7884 55129\n17284 53367\n14504 91946\n50113 68318\n32331 78607\n7563 63781\n9860 92613\n22089 41813\n48241 63365\n6795 55011\n56272 78973\n49015 87379\n65496 77916\n13976 93660\n11443 94220\n55567 95709\n49504 62256\n35760 80546\n7363 11345\n29198 72800\n60913 63838\n6382 97137\n80483 88273\n372 58027\n15287 79452\n25102 99832\n63949 75214\n19403 89603\n47619 84331\n59904 77746\n9475 47914\n79170 85103\n22464 76073\n57952 76438\n15817 19003\n70765 93983\n36163 45418\n38727 53336\n30622 96223\n5573 89639\n17871 97108\n30556 39819\n83814 97756\n41190 78927\n46900 90591\n24041 82933\n3048 29740\n13831 27017\n38166 81560\n23522 72133\n79745 92352\n45789 80933\n12995 95886\n61989 93900\n34384 83311\n10681 18691\n13405 59485\n63175 82746\n66138 73929\n1093 1613\n8116 53368\n21781 76855\n7265 10316\n47933 78080\n31997 65868\n49475 94580\n28952 76552\n8640 48419\n57790 78365\n7820 82937\n44787 54523\n40883 57058\n63414 98586\n2373 94612\n25369 72844\n38420 87284\n38074 97891\n13609 94314\n4701 30571\n41656 42638\n42536 85077\n43519 95531\n18628 65669\n3437 59285\n9664 20516\n26429 40673\n34203 92567\n11222 55379\n7112 36017\n66536 69656\n29978 40064\n44910 92025\n15828 97197\n6458 72442\n36801 93845\n55563 91377\n26071 69624\n21992 24657\n23423 89818\n22255 68047\n38132 89395\n64951 85157\n9780 84670\n58516 87245\n13831 95800\n28162 76053\n59874 71571\n14137 89963\n10225 21700\n33140 38353\n89058 98797\n6014 58853\n11502 64084\n10343 30712\n74026 89802\n13978 67989\n74758 97314\n84183 96035\n14581 70831\n32038 98904\n30408 31481\n21815 29766\n1392 13704\n94433 94916\n92923 98543\n29633 53854\n80114 86509\n82016 98218\n10666 23048\n26709 31005\n10429 22542\n37407 61278\n62273 67046\n27794 51904\n33734 83069\n23587 65804\n10908 61102\n17798 85942\n8986 74523\n25578 43259\n28247 83709\n24389 64499\n60497 88932\n8240 14320\n16781 67753\n82700 97049\n66493 94087\n30156 60795\n46657 54215\n65227 68884\n33240 72384\n87076 89223\n47895 70616\n24008 55383\n4348 91433\n23712 57998\n55408 98414\n26059 29157\n46102 96905\n67720 75438\n90475 96110\n1554 67506\n73860 82488\n20968 72865\n83512 94307\n24035 83306\n50825 68663\n52744 78405\n8246 86286\n16142 76860\n4799 4926\n35328 72670\n43916 79357\n4638 14344\n6375 54653\n78778 91329\n3095 77449\n35667 70933\n33527 96165\n34709 48238\n44486 49639\n74956 94551\n31127 73784\n30667 82343\n26013 62918\n43 8904\n30442 47659\n692 84093\n2914 67679\n3928 38261\n94370 99006\n895 80105\n24427 64773\n38105 81293\n5942 95354\n21806 27218\n83122 86306\n32514 95351\n34613 87509\n34032 95894\n10823 29843\n7863 30913\n48029 76237\n31898 52758\n90259 98224\n14331 88568\n52191 73385\n21468 26018\n70714 71037\n86817 99260\n18883 51483\n16920 67506\n10902 22687\n17817 65629\n8712 30371\n27142 30819\n14176 15883\n30443 46497\n38755 80568\n53678 53705\n13605 55839\n54488 57768\n48092 93028\n41403 94883\n42564 75580\n14378 62923\n15185 28664\n49537 85010\n40209 94632\n35834 78848\n43073 51722\n48050 84728\n47841 48342\n62094 66155\n76687 81817\n25800 78695\n46709 62580\n48021 81585\n32563 73531\n26047 85059\n1137 59101\n4381 34416\n58890 90584\n24436 79693\n32819 72260\n18496 60180\n85469 95675\n1256 23848\n5042 58682\n9713 16895\n24895 27905\n19422 67548\n14148 57189\n8663 58722\n45650 93751\n16277 16762\n35094 78886\n10664 66309\n7305 38743\n34662 90372\n49764 72505\n40302 76796\n42848 52371\n31763 79969\n30881 87120\n11165 80435\n78215 80535\n41345 76979\n55447 77713\n12002 57979\n26624 73876\n1564 71356\n21406 97403\n40781 81466\n23574 42808\n37165 51221\n39591 73730\n68402 82150\n7113 7829\n83019 87603\n63894 83020\n23092 35571\n49289 57355\n27375 36565\n26766 67146\n1619 72846\n23572 70800\n52970 67780\n81666 90223\n49068 99140\n4191 91937\n89959 93635\n19683 99549\n63782 80411\n24083 93664\n23391 34628\n71880 88860\n25554 28932\n29528 93282\n25164 62208\n10164 17805\n31566 79369\n8299 8431\n14412 38508\n7710 94053\n47463 68982\n13642 99088\n34021 98872\n17339 84064\n27188 48156\n15290 45812\n25015 68126\n5902 81614\n41424 77646\n63774 85457\n15360 55334\n30486 44143\n53929 66933\n62048 93570\n48339 68266\n746 63572\n50754 62642\n55273 91202\n72519 81951\n77407 93184\n54197 73653\n21251 62167\n1539 80118\n22931 88116\n1305 11873\n114 129\n18107 22533\n33325 89483\n39729 91454\n33684 61147\n2773 79496\n79341 83346\n52587 76913\n48633 79291\n5204 52496\n2752 95418\n27852 41847\n21764 39375\n10361 55633\n2334 18521\n9055 79860\n3301 85742\n25976 82981\n62990 63579\n19712 37932\n66355 69240\n19320 27215\n13497 24779\n80969 88435\n36564 49409\n20627 30879\n44324 67367\n39605 51055\n54214 62850\n49032 92530\n38468 75559\n56597 58612\n77748 86669\n22321 43615\n5845 66332\n59160 85003\n10937 13913\n27141 47597\n25750 43422\n57132 79457\n7290 79920\n32077 97507\n3612 12150\n3405 76927\n56105 85699\n51037 83397\n20457 78601\n19748 23139\n6715 99125\n39278 65108\n3983 29403\n57785 80639\n38343 87853\n8002 43615\n1306 66011\n35768 52313\n23719 88626\n36811 55614\n19288 61604\n14643 36396\n8612 43197\n1095 79088\n77739 92684\n41015 95004\n69327 69879\n31455 71597\n33839 57935\n24212 55649\n50469 57880\n34976 87803\n2405 70932\n8799 56875\n56514 63229\n23629 94544\n45173 60326\n54603 64587\n579 6345\n32754 89654\n13901 94146\n8415 62984\n6589 83357\n68125 81316\n28962 81843\n53065 94385\n7812 13870\n9893 53171\n5650 24576\n77809 92231\n2176 44252\n61168 66239\n79201 83322\n10881 26029\n5667 27024\n54168 73668\n29901 48622\n20713 90873\n43817 47614\n63565 88061\n77789 98515\n2990 36678\n613 9288\n15649 51439\n65606 94260\n14138 58938\n2734 50645\n27922 87580\n5926 15813\n66125 78117\n15937 22033\n35572 93436\n13374 16984\n34079 99408\n59573 69588\n54746 89640\n8133 49790\n45027 69266\n21795 92236\n8540 78783\n52057 54608\n46789 71601\n34854 90722\n23581 62848\n20438 70790\n38327 43888\n30976 79241\n2989 73590\n45958 68415\n39424 86876\n24782 65269\n79299 79748\n2206 46772\n19085 19357\n59519 82276\n22386 27451\n11755 88258\n12667 95169\n35052 63535\n7803 98989\n17699 55230\n62366 66235\n42904 77518\n32702 39838\n48311 62192\n20267 49562\n27240 67712\n19991 90580\n55227 83987\n5939 38279\n29295 46743\n46087 95643\n1661 78035\n22072 45913\n44093 48505\n15793 82461\n62840 77279\n7985 76300\n44898 55513\n83382 99847\n11133 55359\n62200 80067\n8574 44840\n62418 78714\n27132 81999\n47491 95476\n33094 70111\n61956 72497\n88048 93321\n55703 91465\n25996 86680\n7987 26646\n6501 97942\n49560 54670\n29115 89983\n1304 79832\n63194 87432\n28209 84024\n45253 74521\n22041 98667\n64754 99997\n2844 81131\n7019 59857\n44585 92088\n70578 70647\n59446 60152\n21277 86629\n45698 93695\n35379 35984\n29972 41180\n15256 98353\n76873 86532\n47453 65544\n84814 92330\n25584 90815\n5265 48158\n11074 90973\n20674 79297\n16475 58557\n11578 13619\n61171 67674\n16364 16550\n36601 51098\n19026 71025\n80524 81603\n4287 34226\n37816 92299\n5288 28267\n40131 68489\n43577 73563\n6185 61850\n37538 54283\n56113 64266\n2298 15459\n58941 72141\n12606 90830\n36945 90577\n40234 70428\n69256 82525\n17440 67178\n24739 97608\n18961 74637\n70321 81662\n37641 96107\n42625 48979\n78146 95023\n32615 88656\n62400 73225\n31537 49369\n17876 43500\n24296 36259\n2273 90192\n7483 56787\n55533 77576\n3692 17685\n28152 78620\n41746 56099\n12278 57236\n42114 75493\n5115 73033\n167 15580\n27087 47126\n60491 91855\n33086 69808\n7716 46491\n55566 76166\n28891 96890\n31022 80573\n85471 99742\n62735 96734\n13776 67592\n6359 57422\n68293 93740\n27786 58928\n55128 89865\n53846 72677\n42221 55382\n60574 85305\n4334 95160\n40996 57128\n66884 74869\n6722 14405\n53975 60470\n18979 95929\n48427 82290\n93718 97690\n65334 65455\n67630 96045\n1795 80688\n49820 79526\n919 62349\n35479 43157\n7645 55941\n14751 35108\n58333 96777\n81251 90182\n30149 57838\n22876 65173\n50249 72348\n13204 78221\n9158 58609\n61499 90248\n67308 75801\n33154 83205\n3664 98833\n5896 6921\n29654 37924\n66359 92260\n83568 86630\n15400 85909\n45692 68962\n44428 74537\n39053 57915\n19785 34886\n86559 98028\n1277 22143\n73964 91279\n80843 84197\n11993 70866\n8328 82172\n66352 85649\n3282 23315\n86355 91104\n127 22265\n3617 48680\n48761 62307\n55252 77803\n26847 40868\n3765 50185\n8168 91578\n35894 99263\n69145 76724\n11714 98664\n66925 95013\n48370 48992\n23039 46892\n14885 54483\n7065 94040\n23886 58421\n33580 64516\n13959 22801\n40883 78387\n69623 97173\n5635 46576\n21260 85503\n6969 89044\n1147 75105\n71704 82223\n23608 57064\n44818 64573\n17583 79079\n20090 98881\n12949 55850\n20445 60043\n14262 51855\n17182 38714\n8521 59504\n62041 68746\n62183 74118\n29031 49779\n3846 50243\n3354 98842\n12015 63205\n15598 78277\n22030 84357\n9915 98576\n16119 65696\n16689 19753\n25404 89379\n80327 82929\n40398 88255\n37862 89269\n21016 60374\n10686 40730\n40999 54009\n23131 97600\n14655 22066\n25250 41602\n24609 39115\n431 23955\n11159 89883\n79626 91821\n56723 66110\n9155 98389\n40234 41815\n25831 28025\n8181 34727\n34193 61239\n47988 91900\n34688 70445\n13520 36371\n21725 89629\n28916 90819\n2170 85854\n24922 39667\n69989 96355\n1058 39744\n18525 99335\n36940 67244\n84131 86268\n47140 88002\n28025 39758\n24701 30063\n16283 75714\n10 57402\n42408 90380\n48543 50707\n76137 84179\n79217 84422\n55538 91376\n11451 45634\n2075 39186\n87354 99850\n38722 41526\n64338 75708\n2620 13758\n13313 87586\n42812 44562\n20824 79260\n16680 57830\n8448 39412\n95843 96331\n3557 24095\n28832 59767\n63225 77888\n18783 62909\n4401 70083\n2256 57149\n11579 81258\n18769 98787\n36712 54833\n21585 67629\n3077 15895\n49465 85562\n74747 94663\n56936 99233\n18401 52478\n50261 80660\n6247 75386\n46895 82141\n56436 69003\n70062 89300\n7218 10643\n83333 99405\n60446 95817\n25802 89789\n23968 32541\n6904 77143\n9652 99527\n37875 39376\n43356 75751\n36481 74563\n71179 73266\n53071 78473\n35201 55647\n51553 83478\n44457 82299\n33053 67711\n46274 70456\n84897 90910\n5758 38765\n4528 23493\n81564 83419\n51041 71162\n38191 65403\n26813 87304\n23702 34287\n19181 72335\n15287 26626\n61958 99221\n3558 62998\n62267 92042\n45538 86114\n24772 36861\n75900 83068\n36085 58878\n6532 21406\n60168 79652\n20957 36135\n4788 91710\n19535 49013\n20018 22200\n4627 50178\n36918 73968\n6117 75493\n11855 92577\n21208 64313\n64479 78658\n45582 51829\n70828 75313\n26240 32926\n40586 74030\n1950 71611\n1365 89661\n74359 88352\n2781 33470\n60485 85892\n21486 53767\n53247 58525\n15654 66396\n43734 61888\n56062 65114\n33872 89458\n14613 22539\n4968 31862\n50932 57367\n24116 85254\n46264 69034\n34190 39547\n47212 73928\n8680 36037\n84346 92811\n44416 91793\n20903 96073\n10677 62192\n21875 26531\n12746 28619\n78343 96178\n40561 40775\n1447 39369\n37720 51355\n44157 47290\n92725 96730\n36231 72316\n24665 52564\n1787 6367\n6197 81544\n30164 36413\n33151 40660\n20713 84415\n42016 49183\n20082 25028\n9439 43350\n14111 72583\n3486 96735\n29307 35386\n81215 82225\n24583 58540\n91539 99622\n34734 38598\n74837 81908\n17447 32791\n8728 92810\n2516 73663\n43737 84199\n61904 91387\n12937 51037\n7838 22692\n41339 67560\n62771 75679\n43865 68373\n867 34129\n12740 54910\n10781 36746\n59890 85996\n39833 75701\n18077 92529\n41788 84953\n23037 38739\n29350 78210\n18485 85811\n97355 98724\n53514 99604\n3271 5561\n45545 90915\n32998 90502\n8322 35527\n6143 28898\n57519 67198\n51371 63789\n5805 97851\n50752 51896\n50585 57603\n32249 43969\n50814 57047\n37533 39190\n32962 86250\n41151 54187\n3818 76214\n10292 69638\n69415 80467\n17374 27546\n57002 81612\n34330 80415\n24500 95364\n17668 29304\n55296 61557\n5308 81247\n6819 86348\n25462 87545\n13564 87303\n36415 61356\n66089 79775\n40080 57068\n33115 77758\n2659 41142\n40953 99082\n146 69330\n3444 85175\n14078 95806\n195 92478\n64441 75701\n4295 73569\n63447 67036\n17861 98146\n19069 72503\n88601 98569\n2477 7725\n96855 98620\n26085 80481\n8489 43219\n32325 90361\n56064 93747\n34585 78620\n8406 72347\n5591 83689\n24480 36543\n27249 85795\n886 2966\n54677 71259\n20160 80103\n48450 87955\n59122 92146\n68318 94448\n6619 81582\n4253 14659\n8629 22204\n49748 87025\n9063 16309\n62154 86702\n2020 28442\n7006 69518\n9093 48001\n20326 35592\n56565 83889\n2119 2716\n4724 58549\n55279 62946\n9273 48504\n74663 83657\n4285 59467\n50151 73794\n23772 85106\n8480 80940\n139 86094\n56249 80328\n33622 96475\n723 89537\n60356 68042\n72169 98531\n67465 92858\n50135 59407\n42141 59376\n9013 43404\n1035 31081\n60712 77640\n35385 57985\n31908 58255\n69409 80669\n54992 82204\n9986 16202\n65082 81905\n38085 92338\n48916 56639\n40738 80700\n7048 12258\n22368 26876\n39582 86911\n7085 86174\n8617 54835\n16905 71308\n25744 94183\n40889 59596\n20476 98422\n17184 55206\n44923 54713\n13711 29993\n54585 64362\n15350 69449\n15488 64713\n19417 78005\n44045 51248\n51240 56337\n59259 81795\n41964 60011\n22753 65427\n53186 54275\n2183 72127\n28577 72643\n4723 31493\n7084 89772\n78330 80837\n31817 59023\n3353 44064\n23235 52091\n24818 97988\n31525 73421\n24692 78489\n14601 65717\n9945 33538\n10546 99227\n15071 40688\n31990 93325\n1369 78294\n26245 49075\n2523 84289\n14939 50704\n4990 51856\n69639 75274\n65764 90451\n15242 16638\n22151 89845\n25232 30890\n50827 51712\n54564 57569\n16154 66862\n2988 79565\n46863 50808\n45630 95141\n21780 77105\n8419 25125\n31333 73117\n16806 99512\n24157 46357\n46966 81197\n3181 34758\n58053 73164\n20310 84489\n8411 63090\n4478 66058\n58947 58991\n48964 66360\n7284 41682\n37318 97157\n39771 69777\n38484 90099\n38342 59659\n10019 13065\n54576 86262\n80461 93449\n58931 68799\n52907 85060\n43877 67735\n39079 91764\n49545 96338\n35340 82204\n41667 55747\n7765 77545\n33389 60834\n37554 43295\n4651 22997\n59460 87082\n60102 94969\n8371 19971\n23678 77473\n77001 98734\n1171 49275\n17708 34891\n70086 86867\n9997 43741\n40382 89718\n41352 62224\n20319 30838\n30107 75605\n10362 67227\n9815 74525\n48005 51103\n39304 67659\n39055 70076\n17752 71040\n39040 50471\n20515 60879\n65020 66321\n51253 76188\n72182 83311\n28074 93274\n46645 81827\n34903 89272\n52986 54728\n7068 27958\n11730 50242\n23524 27512\n25438 75751\n70349 71190\n6913 28789\n2341 56849\n80825 92336\n82811 84988\n19509 56712\n4341 23934\n85506 89228\n79430 84988\n57880 93627\n742 99043\n131 11027\n6463 29006\n54614 97780\n32186 68450\n30210 43100\n72119 73424\n50572 91527\n33153 40201\n19647 24568\n62806 74110\n21188 74492\n18179 29679\n21337 97851\n12414 40008\n74667 88631\n43007 86922\n61775 73524\n33193 41756\n35424 86595\n19382 68316\n15727 64534\n18319 20921\n46700 78957\n40412 51632\n10159 31795\n15848 96950\n401 99247\n23686 57223\n10856 43681\n22488 41614\n31140 73794\n20815 97045\n83416 93242\n16994 55922\n23704 43149\n35840 50912\n5113 48596\n23677 71605\n50830 60327\n9046 60091\n45943 82824\n38621 64265\n20570 88528\n67407 85994\n89478 95294\n67634 75841\n52133 54109\n29062 99393\n35554 55167\n20476 54802\n25363 51176\n39336 58725\n62845 71995\n12126 20998\n19804 75846\n30278 31438\n19792 93838\n43419 65925\n68947 84169\n15939 64061\n298 55984\n1896 10370\n9740 98040\n64145 67656\n13284 62971\n20891 33983\n55527 85655\n57303 61416\n2163 97206\n9881 77980\n35557 87486\n7521 14519\n7772 20785\n5375 65855\n50081 76593\n13543 72252\n67710 83743\n17372 37702\n68100 88675\n41371 87973\n61187 76872\n12193 41290\n40046 75830\n50157 66930\n26559 53770\n62438 83956\n11519 37150\n26593 84515\n6395 94740\n11383 43019\n4498 40306\n13708 36064\n29200 81965\n51727 79748\n27840 32393\n1102 49645\n88355 92116\n31186 64625\n52440 61353\n12646 60434\n47670 59002\n14324 98085\n19 5399\n800 78376\n17892 66639\n50503 82125\n41212 43594\n15059 40741\n65285 96781\n67797 87706\n67056 92172\n72782 78609\n17577 41264\n27992 63679\n63210 88536\n50374 77554\n34208 79698\n42721 98691\n62373 86242\n54854 84439\n61704 94384\n1465 76628\n28752 96301\n21294 37847\n17280 33819\n42338 48845\n11119 63991\n56817 82276\n24330 86921\n34975 47914\n71846 81054\n16600 32197\n19667 67492\n31623 98264\n17703 43561\n52219 84057\n11131 20839\n4917 10749\n51705 85057\n5665 27299\n20379 59667\n14616 25983\n20758 24191\n48533 86171\n97214 99342\n4340 81390\n4256 33051\n14293 87629\n10742 42649\n83707 98900\n34811 82552\n3879 66740\n20804 32894\n81617 95506\n86684 87959\n28862 29126\n11352 91747\n24294 35382\n48121 94945\n14860 43891\n9434 72210\n13474 54604\n34140 94172\n51106 83335\n21252 66804\n9897 98916\n55409 58973\n14551 38677\n70383 79968\n54520 95132\n24361 77703\n49413 52696\n55283 79858\n1764 69365\n82468 92844\n13270 21007\n15936 61973\n19378 93879\n8240 35792\n4048 76541\n39564 69371\n25686 66258\n93919 98460\n31098 56791\n21078 43489\n34913 54198\n44672 61834\n39996 65150\n7851 74364\n69501 96643\n5196 86528\n26197 37587\n1251 51624\n45755 91614\n14083 78686\n17227 96954\n62324 96530\n33289 90013\n35829 55627\n4374 37382\n9083 16686\n10356 76562\n67153 89131\n41314 72042\n24930 60839\n25722 86328\n24148 88898\n47438 61039\n62537 84964\n20916 85567\n19549 23801\n12828 13844\n30947 95118\n13069 87971\n48504 77035\n59717 94677\n16215 26022\n53075 76342\n23759 51406\n60409 85097\n32259 75936\n53288 59164\n58118 75443\n67335 87076\n57071 97323\n19315 30968\n3825 90386\n47112 89368\n9459 31327\n34736 81207\n59817 60921\n13094 86319\n56001 80675\n19812 60247\n41864 65671\n2340 82979\n32114 41568\n50715 99179\n61682 67800\n364 6859\n15104 79745\n37623 92741\n29449 83323\n3812 46192\n27622 79584\n69382 74480\n46936 84353\n69134 79649\n24531 82977\n46216 57764\n17529 93674\n12670 15187\n15130 34452\n66680 72184\n39634 53404\n19416 48993\n29974 84925\n64648 89533\n236 26607\n38430 93865\n2974 4102\n26772 37802\n30011 45815\n34801 66586\n88496 92899\n868 29842\n39341 79695\n21878 92193\n650 58895\n25269 80676\n36277 51379\n4326 37758\n1979 36743\n81658 93736\n51751 70337\n39441 75572\n79922 93819\n27681 48498\n63330 83286\n21233 68251\n67317 74405\n1674 21425\n51625 84722\n3938 29845\n47680 85977\n3429 35405\n3938 75109\n37288 59047\n49795 89696\n5159 86828\n52606 61603\n13804 51470\n85020 87592\n19121 39758\n683 3878\n216 17537\n14973 21718\n87497 97929\n9215 34001\n68046 93068\n10454 38974\n6252 98756\n75803 77273\n51541 91342\n4175 16049\n17149 19948\n21523 95076\n7454 91553\n33790 49202\n46032 53030\n4803 19689\n64351 94210\n61816 70682\n31033 41982\n4998 26964\n3702 24912\n19613 47616\n31441 87048\n76926 91687\n42999 85511\n26908 61356\n20075 88596\n4553 57616\n63354 93447\n15559 57536\n19643 88165\n9314 53253\n33681 90188\n66468 94814\n65343 91521\n51862 84597\n41042 44467\n44264 61256\n3393 75950\n84 89107\n43764 99713\n59311 79782\n54184 61255\n13629 67782\n38230 82916\n42992 47986\n57300 78786\n33051 43562\n47014 98834\n53465 60361\n65209 72860\n1059 55750\n44388 87366\n63129 89915\n65762 92817\n59823 63838\n43935 51528\n67256 77446\n12837 61788\n434 51618\n19459 63147\n70469 71604\n22530 39216\n13136 91286\n7913 55639\n3451 74840\n33773 35418\n38641 79118\n11317 86486\n51002 51903\n3088 84484\n43863 85433\n25204 94342\n12561 49745\n29963 80093\n26235 28352\n53211 63251\n38164 63814\n4052 23697\n26243 78899\n35212 42085\n1361 23456\n36497 54975\n37231 64388\n58065 91548\n20098 51989\n52117 76685\n59423 82317\n18167 76370\n42999 75885\n63777 71549\n24208 82798\n90618 98802\n48767 53138\n2138 19297\n69059 94430\n13502 18139\n75894 91180\n50116 50485\n15742 83989\n33598 96815\n22576 47146\n33698 79330\n22852 68328\n2922 26385\n50948 54603\n4911 58416\n80334 86961\n6139 71058\n209 78455\n58405 82177\n76812 85546\n40537 63993\n14162 61371\n32591 69464\n28273 83368\n62620 94884\n8856 44691\n16926 97170\n27629 78768\n42725 71290\n13884 63679\n17956 43372\n957 86161\n38612 52603\n7751 64297\n10059 40128\n132 33855\n7518 10272\n21169 82575\n55795 59805\n23657 50857\n49029 50562\n3186 7727\n16620 82897\n60060 92126\n6310 53023\n12596 66768\n14256 42601\n7640 42005\n46087 67927\n28620 66011\n5430 10952\n66116 82405\n10628 43198\n9857 44141\n18100 50513\n77242 98337\n62797 95706\n53922 73239\n33952 85440\n161 46689\n16499 91393\n34460 39297\n11987 40141\n79629 93790\n29367 47868\n56300 76139\n56722 91875\n41086 73065\n40515 58326\n56098 74815\n44621 77002\n29651 56262\n42965 75495\n74540 92618\n3263 98256\n12725 83599\n26124 58923\n35922 49926\n31948 49509\n75590 98393\n32603 74075\n107 77844\n1113 93876\n23105 55494\n91782 91831\n6813 95673\n66996 99971\n29210 54214\n23769 92586\n13046 75423\n5462 22717\n54086 77566\n15998 51481\n57771 95202\n82274 85003\n25218 88726\n8869 10169\n2352 56770\n48300 86186\n14418 90437\n50099 91669\n2692 79365\n16112 79754\n85995 98269\n133 62110\n4554 29839\n24504 44028\n7777 51103\n5967 33000\n21980 88132\n16706 31896\n19084 72562\n1842 53428\n8627 81603\n17047 69616\n14951 43706\n17080 79659\n78602 92566\n32919 54607\n30603 51664\n32516 80013\n50584 56046\n4193 9308\n28025 35851\n11149 79404\n50383 77304\n61298 87296\n37153 94596\n9098 93624\n83988 99548\n64488 82619\n14518 83841\n10 2545\n12768 82552\n53208 70492\n49574 67085\n37932 98895\n35350 53637\n16390 53151\n10351 76342\n26976 74210\n29290 36071\n22882 27164\n31847 88955\n16113 31961\n37045 63716\n19398 47773\n7358 46490\n47616 54549\n60989 67959\n57916 81084\n42068 72650\n78413 83032\n70634 94502\n6643 92855\n19869 71684\n23373 32385\n47444 91269\n62345 71385\n4763 69468\n2002 49038\n40879 49164\n37407 68391\n2156 49227\n4095 98601\n69670 72127\n19869 74800\n82632 90874\n42606 48105\n82065 90797\n38227 74365\n549 45185\n56187 74961\n19812 28466\n28621 29082\n11081 63294\n21360 65558\n22813 69086\n36455 41401\n40523 69320\n44175 95693\n48845 60348\n43542 56591\n16635 36978\n35241 87658\n13817 61391\n58097 83468\n21102 77374\n51753 91470\n44589 62498\n57273 68348\n20786 82803\n89456 92121\n20287 99139\n29511 41279\n3318 67704\n19175 91317\n62507 75332\n27784 52024\n13150 65307\n25335 26330\n59210 76730\n24097 38996\n22673 87593\n12703 23161\n45996 69087\n17619 48229\n28676 68455\n48734 83681\n33579 64295\n56545 61474\n33782 96530\n28883 99704\n51000 61899\n63431 79348\n3777 42973\n55399 63977\n28707 32575\n10788 15026\n28884 50278\n13668 94252\n57647 60827\n61231 79738\n13022 70202\n22435 76795\n22963 79357\n38800 59281\n10376 25698\n50617 68561\n16355 77658\n70206 92559\n27590 85686\n12399 78102\n9999 86747\n43960 62985\n20140 99659\n37796 42601\n3541 50029\n862 64456\n47661 72849\n52385 85075\n1962 48688\n18115 19927\n17148 69487\n33700 55151\n23633 89189\n39643 68289\n35937 85757\n24194 99952\n27084 85551\n50588 72285\n25184 97785\n10956 39743\n12463 47345\n16433 67910\n12999 84386\n60296 76238\n114 39074\n27088 35334\n33291 95421\n43816 55258\n41430 84780\n17992 91875\n64323 96535\n64499 93211\n15214 82647\n21288 74479\n46259 63663\n46078 50049\n15198 56382\n2388 77036\n86667 98623\n2740 87551\n11505 18464\n36550 59375\n18634 96411\n29102 36062\n23152 75292\n10453 99807\n8001 26537\n13207 41289\n33483 49674\n9191 33537\n38439 57465\n13760 62548\n38648 87218\n66272 90718\n64548 94679\n7167 9743\n15105 73579\n7620 39070\n10824 44130\n49389 67147\n22215 34763\n35711 54394\n8323 97558\n59399 66582\n6937 47283\n19818 28483\n46541 77242\n665 45952\n85861 94877\n42923 53097\n3076 56074\n61000 93089\n30115 91323\n21792 24050\n55535 68077\n43493 63130\n23448 24480\n35945 84502\n19041 47789\n458 93524\n21320 58405\n11420 76983\n11266 23824\n69193 84350\n9708 43731\n8301 61270\n34995 85938\n57113 89861\n9098 46056\n48513 86456\n17384 96909\n31197 74456\n82977 96105\n32046 44832\n87262 98527\n1603 57669\n883 9867\n74101 93120\n68560 81336\n25564 46517\n20482 92286\n11760 60576\n40803 58582\n1000 84575\n4240 35097\n33382 95963\n60505 99616\n32 71382\n28222 77800\n43941 53884\n10446 16932\n35082 93516\n6828 75402\n8235 51456\n35222 37246\n4572 95092\n68370 91042\n17656 41715\n44742 78307\n61698 89564\n46200 88372\n17762 35299\n20148 80112\n25633 79124\n40472 47515\n13050 33830\n9683 26216\n77697 86384\n39421 60987\n62967 95671\n48501 62141\n12594 37989\n6031 32682\n14076 77913\n238 42356\n42130 83110\n6599 8394\n50711 88484\n1193 3764\n87918 92586\n420 45006\n68965 95670\n3631 79601\n37066 81675\n25652 95283\n47294 79559\n41773 93989\n4413 22075\n2646 22474\n27567 71442\n69823 87284\n48327 49923\n42679 99901\n61796 71968\n75278 85102\n3450 52291\n52491 55604\n12483 32776\n22583 65717\n47195 88030\n15039 39056\n42922 96955\n56681 61373\n55221 92150\n13523 16262\n41720 80156\n2217 55617\n14187 63846\n67611 82743\n30825 67953\n51647 96163\n76287 88477\n20657 59822\n24548 83308\n67282 96824\n8105 13035\n40518 85888\n20482 51225\n1578 33358\n20288 48126\n11108 37615\n7786 80303\n55029 86052\n4852 24582\n89063 95766\n27074 65156\n16262 73310\n78822 91627\n41402 41509\n46590 65099\n85870 93457\n7011 15658\n31949 48566\n8172 13795\n40819 84021\n53295 67799\n2894 74241\n57109 97033\n46317 92726\n33090 39332\n54239 61328\n67582 82108\n43181 63986\n9147 24770\n55423 81289\n29103 41085\n19213 39639\n29989 43145\n48319 83117\n79514 81828\n3123 17080\n61610 95317\n19127 48002\n16903 85231\n14663 51646\n38100 38969\n52080 96524\n59321 95316\n12828 16892\n75580 84590\n11347 41320\n12954 28284\n13511 36035\n8835 52543\n52679 89980\n25251 84630\n16014 68590\n19142 77012\n82842 95639\n34489 47127\n47673 55403\n52142 58070\n45975 81419\n1753 45503\n39222 58412\n10317 93295\n59947 91513\n44901 49969\n76707 84938\n46355 48706\n67484 90237\n64788 83247\n4339 18736\n3008 12992\n42460 52745\n47469 50324\n41458 63576\n29752 35383\n18161 86966\n78187 81007\n9241 94803\n16529 85075\n13900 92988\n31164 72818\n24987 29185\n412 6130\n6088 42536\n8209 75937\n28683 84694\n44495 81097\n1140 47665\n43863 50474\n4432 34799\n162 85784\n35058 44602\n23619 70852\n24864 47000\n11332 97832\n60959 96556\n76262 93555\n56555 57000\n31274 98088\n34568 49189\n74909 96686\n53480 76489\n65852 95834\n7310 70897\n22085 58526\n36643 36960\n1541 55002\n32166 57044\n40177 46742\n1072 25845\n31853 96278\n56848 83723\n9661 50229\n38461 50979\n11227 75596\n47466 51865\n40516 72514\n27837 93237\n16245 96273\n12213 68395\n14698 40840\n30163 89431\n754 49475\n3122 27984\n32000 73239\n15007 20350\n6438 88444\n52201 57327\n13470 93250\n41388 87527\n9866 21453\n16029 25415\n47211 67485\n60072 63235\n36443 87080\n32450 81430\n55207 94621\n31157 99492\n26405 65175\n58568 79858\n39528 98439\n2922 41120\n22078 65076\n29120 83625\n22892 69455\n38259 70931\n6503 97667\n31621 80821\n24393 99091\n12108 78242\n5083 30486\n35163 96412\n53437 75227\n16568 95591\n32470 54835\n1172 78837\n63216 84077\n70256 72869\n67067 94864\n59498 88752\n2624 96758\n13006 85353\n36873 72048\n23301 94534\n2339 41025\n30220 54599\n46106 50116\n9213 78905\n20528 67512\n69147 78128\n75043 83417\n1600 68206\n12261 84046\n50536 70215\n66453 87624\n754 36534\n76779 96641\n5344 8591\n8243 24118\n43345 52106\n19771 94062\n32763 69607\n55449 61058\n15898 92712\n28835 53901\n76405 80147\n67762 93404\n44796 92007\n84281 88730\n45449 81822\n48776 54433\n26539 57071\n22553 97152\n1246 26392\n21762 57757\n42742 52528\n33048 66931\n53168 96371\n13639 76478\n12381 29134\n6852 84288\n13568 65894\n67685 96519\n20238 54138\n14639 83032\n79569 93372\n35320 63243\n7623 10049\n60578 89891\n31526 85731\n65824 81782\n7638 47890\n27840 85882\n21381 63610\n54851 73836\n7561 81889\n35492 55876\n19129 91984\n57884 95644\n26611 70666\n13209 56443\n67937 98896\n11464 70180\n46164 68284\n44579 47476\n53701 69435\n6740 61332\n13630 15077\n2486 61605\n19444 30077\n40461 90106\n46091 82525\n39278 44660\n17811 45410\n10864 44922\n24006 37436\n47271 52767\n22172 56467\n86526 93532\n1502 97823\n17005 52627\n14719 34023\n62507 84386\n9755 86362\n44731 83069\n14406 53529\n51912 59391\n16746 91396\n57898 96461\n53250 56684\n17176 43587\n34559 38181\n60711 82610\n81955 96318\n42067 46153\n16287 99636\n34692 38275\n31256 75957\n73575 89939\n18927 48998\n24181 64806\n14158 50587\n57715 62079\n9759 52576\n9092 48048\n23429 94274\n10376 76113\n18468 30693\n40483 53304\n9782 73883\n33749 92303\n51392 60388\n11424 56291\n20918 41119\n2071 16140\n27988 46350\n59637 77627\n52246 60841\n52152 58847\n41077 99318\n26404 76507\n33998 99088\n17799 27269\n360 35700\n8646 71962\n6916 46105\n33326 74823\n1525 35236\n12542 34753\n61450 86942\n58906 99399\n26757 85321\n52457 67195\n23754 47054\n7198 55783\n38920 89356\n25408 68277\n65301 76438\n46320 59474\n57686 98840\n24751 62523\n1234 27382\n56833 80025\n44154 78872\n23490 52630\n3601 36582\n3806 53288\n61918 73394\n33834 65937\n32365 41463\n39803 51586\n44035 71813\n14534 73610\n69472 70322\n52250 78605\n58259 99304\n38532 63769\n10221 41987\n43247 55601\n25968 53005\n75328 87456\n2254 72177\n9089 22524\n35175 60069\n44375 77184\n60672 76369\n31903 44138\n86134 97749\n77300 87836\n41052 66039\n10160 64030\n29529 35605\n69873 98238\n10118 22032\n43304 52413\n7375 38877\n64953 69467\n30715 65145\n78807 88816\n35318 96315\n37648 85120\n51737 83215\n71204 72445\n39360 43132\n6630 55586\n1708 17988\n5833 73630\n59646 79240\n23101 34772\n9089 51701\n12234 93533\n46416 58643\n6222 40796\n77955 99357\n71390 80589\n26250 45272\n2164 60197\n5695 16677\n9385 44017\n13001 80918\n28237 38431\n37910 58383\n54060 91777\n29939 84993\n44332 92116\n82481 89648\n14557 19967\n34821 94847\n44992 46157\n209 68170\n3381 60503\n2706 33515\n47833 53150\n4146 34035\n29103 35622\n42358 81918\n19033 83979\n5081 26636\n47252 85822\n63445 90121\n37507 94673\n53325 77697\n70284 98020\n16427 35989\n4627 92629\n33149 78063\n27170 74773\n10068 99930\n593 36681\n18547 46963\n30049 61589\n21002 22445\n11424 77148\n10884 38195\n14722 33224\n9629 54603\n47556 80660\n7923 77194\n4350 71845\n88358 96672\n6616 89948\n76972 84596\n19297 73180\n51022 53410\n742 56873\n8483 20322\n20179 64942\n24683 26881\n41837 77638\n69395 98503\n1164 14681\n36716 58733\n29493 47617\n31813 51562\n69911 79741\n48421 96012\n50072 85780\n43636 58789\n418 6747\n25347 88050\n58247 73953\n69945 93647\n33816 60061\n53169 87568\n19799 77884\n36627 80166\n21251 95980\n69826 86623\n17632 52874\n45437 76887\n13564 34162\n32109 58890\n69114 69351\n1113 45511\n83996 87657\n11818 44486\n4925 88059\n75292 96265\n21777 82064\n26827 51765\n3999 28066\n17595 71012\n57159 85386\n38474 64471\n23269 42028\n18289 56914\n69250 80601\n26962 48907\n8923 69051\n9768 10658\n10984 29343\n59255 68809\n49147 91094\n35992 69142\n4476 84339\n64109 89702\n56557 64774\n26701 45220\n10217 65149\n46422 56937\n25522 75340\n30758 97660\n1361 83984\n10903 46437\n56078 85535\n17096 95873\n81132 98447\n27082 30287\n41590 71786\n74573 85197\n19084 42183\n8717 36203\n42768 67818\n21671 37369\n62589 86763\n6224 74715\n15304 26754\n86588 93272\n11563 30375\n24430 55759\n56764 76127\n2233 36688\n285 69972\n8690 18913\n35348 63511\n40950 54769\n42809 71802\n13182 40107\n30275 51445\n41790 61254\n7593 18360\n42053 95282\n57775 93295\n47970 60017\n13972 99917\n9368 66300\n40171 83374\n26913 92484\n40100 84660\n56027 92983\n10490 89195\n11384 24900\n2969 34957\n33267 94391\n23841 59142\n71511 82844\n21745 91343\n50480 79786\n34944 52908\n69842 79205\n41800 82960\n6679 73526\n41444 80229\n4878 10249\n42745 91949\n24607 26352\n1501 81364\n9412 73204\n83379 99728\n23623 52624\n55145 92588\n41834 91821\n12580 34321\n39707 52424\n61836 95733\n81742 96086\n7789 80286\n64393 73075\n24866 27702\n36992 67306\n12563 47332\n29600 82415\n67355 97447\n42533 97750\n2690 20207\n11972 88153\n11252 91253\n5813 67621\n20066 47164\n27032 64032\n29014 41870\n2098 22973\n30715 96974\n26024 76094\n4309 55342\n22306 28254\n90699 97919\n73139 78128\n45436 69100\n39129 48298\n22241 73961\n7502 55331\n37504 81923\n3456 41798\n67863 71315\n71892 87934\n31456 44523\n76994 80648\n71171 73904\n2992 84768\n32705 40252\n45454 47697\n2107 7885\n37009 54106\n68469 73943\n63983 73875\n36080 63640\n45202 93496\n27202 29258\n18024 63407\n49353 91786\n13797 89579\n45449 76396\n65221 98511\n16132 36714\n11559 41753\n53651 68086\n21014 40630\n67173 90946\n42443 92136\n33601 90699\n9495 13684\n15522 81840\n27687 33966\n64578 78059\n41943 77952\n11162 82742\n352 94989\n59366 90655\n52942 53822\n43674 95532\n80515 94954\n4034 71273\n10749 21171\n66862 72244\n84808 94083\n28426 50665\n2188 11843\n62806 76289\n44394 70828\n5644 8496\n34932 55057\n74054 77874\n3533 35332\n47933 62282\n19005 92651\n31278 86784\n69531 95817\n12768 52545\n6981 63616\n4401 55345\n21892 56384\n77045 86221\n24208 39345\n26489 89734\n3031 75247\n26252 52755\n64130 89177\n25753 30859\n64958 77678\n17319 83813\n71571 96150\n20138 23154\n21597 99852\n2176 86277\n9733 83886\n78985 82360\n9736 49093\n3977 58285\n2381 82873\n8118 55414\n29087 86005\n29870 72197\n33932 88143\n82549 88041\n60018 84323\n53633 99307\n18827 83975\n57528 88735\n44324 46454\n40765 88966\n23757 31286\n31317 89211\n24368 64466\n7084 20376\n21568 72534\n35088 41607\n57345 69862\n3413 92407\n36060 77452\n7389 56787\n60406 61775\n65123 93987\n7966 69663\n12064 90774\n50902 73912\n82368 98725\n26154 28317\n26134 82033\n11152 25550\n10028 15573\n54905 68469\n33332 49283\n34709 57246\n25470 80848\n71724 86381\n23732 34721\n37414 88804\n35741 48517\n10378 63089\n76349 93082\n22612 82669\n62674 68371\n11899 46565\n34925 59088\n72134 97299\n5133 39705\n33807 98289\n31455 84454\n29224 39390\n33696 71712\n15037 68711\n25715 33534\n3916 66982\n61936 74194\n11444 72352\n24088 60446\n33061 39978\n4839 16614\n29755 82715\n82409 99570\n20932 97337\n64167 69781\n27182 39974\n53202 57676\n20940 22468\n35304 47754\n35221 56898\n51312 92216\n2610 9820\n5712 36360\n44092 77487\n21546 76142\n58807 97832\n6941 80784\n81857 88763\n93849 95362\n12995 24143\n5033 62610\n9415 79340\n3628 94895\n14754 36682\n40249 99398\n2322 58876\n72147 98529\n26669 46853\n1794 46458\n40828 53075\n63794 65987\n4115 66919\n57141 68368\n33048 33893\n43355 66688\n34310 64077\n87083 90825\n53815 68179\n9389 10200\n51573 53778\n55789 65229\n31106 43169\n3221 64564\n63636 85343\n60967 98751\n33842 57003\n70222 79569\n2801 53286\n7873 91380\n23433 29968\n75054 98321\n27550 77344\n16175 88402\n51499 58177\n23614 48554\n12594 33367\n27297 80632\n39771 52388\n1208 42369\n10702 39228\n9397 69820\n80752 97525\n9347 92611\n832 40573\n26357 53130\n32755 92990\n41148 71115\n10403 17965\n45153 79184\n69762 95844\n10787 63374\n8725 32934\n13658 36886\n15540 61908\n51964 73532\n15855 89124\n931 20020\n22787 26963\n7443 57748\n55715 69736\n19165 49390\n53878 75472\n70556 76352\n67003 70866\n55739 75042\n24902 89724\n34131 82973\n61043 95639\n5902 37418\n28633 83390\n41719 57189\n35833 44205\n27425 84230\n178 51440\n79915 99705\n49227 62955\n66975 75167\n53333 92192\n8632 68890\n63246 99790\n75145 88135\n29990 38483\n32441 73538\n46464 61787\n37907 45158\n31671 73822\n32796 76891\n3605 77307\n85910 88553\n26574 41125\n4850 90649\n7105 23693\n14278 54139\n53418 67716\n2247 93030\n32541 93830\n17345 70576\n59066 87146\n6733 50815\n23796 76653\n47701 77134\n79469 84453\n74538 85094\n7910 16034\n21158 28390\n6335 6707\n31236 64702\n7926 24250\n5715 93339\n57757 71473\n32100 65949\n14477 58661\n16725 29785\n2924 34723\n26676 38885\n16166 25679\n48892 82800\n43835 47514\n65673 82837\n57024 80388\n9747 14399\n9352 82057\n64947 92816\n22793 70234\n13569 24459\n59839 85852\n11997 20838\n32250 65529\n29649 47597\n41147 51993\n10546 48076\n1007 67072\n59657 99012\n18244 34480\n8454 90581\n23276 53362\n44264 64819\n47707 53038\n48592 83014\n10582 68395\n53523 57289\n62253 79917\n14471 61140\n79570 93992\n53643 67735\n10805 42901\n1433 53121\n37282 64167\n2769 64123\n3568 66018\n13459 82810\n41312 46956\n89671 91604\n40201 78355\n27751 34232\n28051 50565\n79296 95771\n31591 71827\n46275 89431\n6205 57564\n61460 66960\n4297 41733\n11418 97468\n7830 83858\n11079 60987\n9038 45330\n30169 67903\n21423 73858\n70738 97627\n1175 47542\n14861 94378\n8367 54095\n18551 91472\n18715 77435\n12810 57725\n3339 60038\n16676 31373\n24638 78119\n75553 95836\n28325 59513\n24091 43852\n51786 94403\n15696 83638\n14068 52971\n58242 63471\n27213 82664\n4589 86278\n35710 59826\n36751 56472\n1509 37686\n25535 42790\n12543 28902\n31960 59448\n36325 45592\n11504 59471\n11289 16448\n42070 90752\n61868 96803\n27377 81602\n46741 78529\n6836 67230\n36213 92550\n52806 91520\n18352 32366\n17185 88309\n13034 43408\n27170 40349\n39741 85109\n4989 81284\n7354 92353\n81395 93818\n90807 97837\n69316 83749\n34034 36781\n24887 80464\n32529 44653\n19881 23906\n29066 54106\n61389 86317\n82711 95126\n75413 98607\n38338 90819\n236 84519\n66594 97745\n24917 29930\n72468 86703\n22985 61098\n14655 41991\n482 84867\n36305 67242\n33657 86441\n50844 94018\n51463 90437\n53630 61526\n15150 44816\n80243 99181\n13040 17378\n89377 93914\n90667 98761\n30781 50029\n41867 69788\n15889 24732\n4995 63200\n64508 75660\n44104 62135\n37421 69729\n32679 44571\n16037 94851\n39782 98988\n64501 85761\n472 45132\n22195 81173\n39373 86857\n39398 84617\n44417 72596\n5524 45049\n47521 52551\n12568 90089\n55763 95613\n53063 61816\n77287 96717\n2766 56332\n59660 84687\n12263 15644\n22126 30268\n45680 56992\n19454 47219\n26545 35120\n43468 96267\n1401 76913\n41355 74064\n27504 88975\n21182 35861\n509 25885\n19951 76158\n25843 42818\n58761 92605\n41575 74401\n65664 92513\n75141 79303\n80902 91463\n12838 25181\n13578 95165\n28406 81848\n20165 58302\n85532 98863\n52205 90032\n54058 91352\n5248 46427\n57098 96579\n14407 56016\n80642 83706\n6894 14741\n8672 17199\n12120 15725\n29159 36867\n39685 80492\n14317 67395\n68179 69386\n61374 72704\n24121 62421\n23010 69515\n13075 88336\n1607 19067\n74407 89839\n14376 95170\n14200 17232\n18600 38054\n13013 75673\n40979 55934\n27936 80547\n26396 63606\n36882 48038\n33645 87839\n66619 93840\n68628 80512\n18739 51883\n27428 89146\n52674 63798\n10150 99866\n50172 82219\n43674 96989\n23845 62392\n63504 71328\n1264 91554\n12247 57044\n20846 95685\n41967 76162\n47147 99429\n37890 54529\n19872 89513\n1655 31303\n20181 49521\n39101 64470\n73766 86922\n63672 91980\n4611 75829\n7330 52559\n34282 99806\n69386 88157\n48819 55178\n40021 68202\n27411 86966\n33595 48462\n93133 98084\n48878 60991\n31869 63691\n34008 76724\n61791 65394\n21037 64240\n1825 2838\n73262 80133\n18322 91122\n38324 42606\n18136 75338\n66153 68208\n36143 71901\n16015 57917\n28288 48775\n4042 32454\n11391 22213\n28688 65296\n258 58626\n58889 71871\n33910 86472\n54473 63189\n12698 87704\n9418 75276\n46814 69918\n33430 49368\n54157 95477\n7712 64165\n2105 81042\n32075 59407\n47020 92683\n33362 78521\n14218 72492\n41274 48691\n37606 59038\n75369 83000\n35134 43191\n46691 57660\n4229 93703\n14354 33106\n13208 38232\n50810 61085\n10148 21444\n51389 61887\n46553 50205\n5730 88200\n20228 34268\n90074 99966\n32335 97314\n55322 80695\n13676 57895\n7143 54423\n13578 82229\n44487 58774\n24672 46351\n2806 6991\n10578 37791\n95371 99438\n65779 69961\n47125 65510\n40201 41099\n16475 40861\n42123 79525\n21587 41563\n56117 57025\n50089 75374\n1965 17901\n6334 6958\n32564 97955\n6419 95593\n4097 86136\n50215 87813\n8467 30481\n35493 49460\n18559 72212\n4720 8124\n91464 95094\n86914 98551\n44035 64186\n51593 74854\n12877 45220\n7033 57383\n23628 61229\n9769 88715\n10651 47682\n41469 72007\n19542 98287\n44404 97816\n64080 65275\n83075 86315\n20739 29218\n57142 91415\n38465 43738\n25501 67179\n43219 98438\n3048 64654\n9994 35456\n87322 89204\n50061 89655\n38330 66188\n49896 58093\n27648 29428\n71333 74788\n46652 67313\n18660 47351\n5114 60894\n982 50713\n563 48740\n30864 94958\n29936 86657\n54429 99157\n20784 57442\n25009 82709\n26740 58431\n12724 37487\n1803 17139\n7245 17923\n6292 8237\n30525 42403\n5733 77889\n18335 46717\n10095 71848\n26707 65646\n7192 43139\n88814 98457\n36816 52361\n9528 92508\n10871 17979\n58644 66386\n31117 75933\n34129 40361\n24566 42158\n42813 73374\n13455 47938\n19995 68184\n47929 71440\n56615 66236\n11825 14136\n21826 67687\n4415 31264\n24571 80476\n329 97164\n3301 87551\n5763 42574\n16304 70713\n39146 89821\n14604 78714\n12041 22590\n338 97097\n23144 34286\n54629 65316\n22070 88942\n24770 69663\n15971 51424\n10389 28285\n5991 19038\n58390 76070\n43008 84197\n19960 89657\n73167 79238\n38613 76601\n9894 20148\n3342 77398\n70657 97303\n5011 58510\n45869 47702\n44823 78432\n36550 62578\n10445 94760\n19000 78653\n89175 96351\n40668 48774\n31783 88252\n49949 57399\n23819 74780\n29015 86654\n9645 84537\n13804 93840\n21916 67781\n2827 61509\n9281 33904\n75742 84809\n45255 59265\n21934 60445\n47148 54585\n49128 97854\n39807 97502\n23976 25992\n75669 89343\n30487 56784\n18455 20872\n4731 63953\n58867 66965\n86441 90828\n65422 86766\n5244 75705\n13365 49930\n5675 51900\n39846 99945\n71518 79020\n11634 55925\n7612 94085\n1424 96892\n36876 62856\n20705 43934\n79744 89723\n34494 84455\n919 29884\n49421 92905\n17209 49306\n9835 18821\n1008 11830\n47970 82975\n48757 52638\n1416 25292\n48616 52169\n30246 80230\n67321 68244\n53864 77177\n51083 97050\n41236 86828\n16557 50367\n24885 36526\n1952 45622\n44442 73354\n6690 6996\n13297 19375\n40502 52498\n78823 87678\n56313 67701\n2826 45679\n24377 88265\n40994 52966\n26406 71904\n5419 50925\n62940 65381\n58958 94543\n65262 79085\n22568 28318\n52524 53355\n4716 91071\n62016 73450\n30955 95765\n46558 82973\n85044 93369\n7423 78630\n7579 36734\n29662 63676\n54782 59165\n49729 92651\n48265 97603\n33227 72183\n3429 10698\n6851 7722\n40731 87218\n17183 80353\n15117 63941\n12224 80604\n11000 11571\n49162 68481\n15792 34190\n12601 16728\n10700 88711\n2156 34758\n1866 67018\n19610 89497\n1433 16408\n39202 80959\n6705 26097\n78585 91226\n50844 60507\n16654 71754\n19678 47308\n16110 46068\n45597 69597\n14828 33161\n20338 40232\n9767 39661\n48839 68815\n7124 94245\n39187 48857\n14630 61717\n5248 55948\n46427 95372\n34541 37133\n78880 85105\n66493 66650\n19084 24554\n23860 60544\n64937 91089\n16689 60577\n4524 53371\n52367 64904\n18363 29911\n5974 63773\n13303 71944\n49372 52319\n27254 91509\n18635 40733\n75243 92790\n17086 35016\n65825 67211\n32718 43979\n3835 58376\n53419 78179\n24736 38748\n14671 62336\n6637 87331\n67553 89353\n12278 49873\n15285 63956\n6829 93219\n36466 45322\n18188 67114\n26730 59966\n39109 42591\n45277 47657\n27153 32171\n72611 81916\n23791 98423\n71742 89455\n74439 81314\n41001 60669\n5552 51317\n27818 90979\n12446 92150\n10899 77130\n79531 98627\n23329 90425\n24856 85851\n754 42935\n85760 88095\n6805 94089\n18858 78223\n87322 98532\n12430 18782\n87089 97860\n21381 26431\n28786 83259\n53666 59697\n48009 53262\n29265 43898\n14943 44297\n26564 46350\n75473 94317\n23399 52122\n30610 99372\n56734 74992\n37073 76258\n29270 75195\n65437 73781\n64536 98225\n16572 46666\n67980 98669\n26512 50136\n67496 80938\n11279 50810\n39446 50039\n44191 88915\n42480 49588\n98510 99810\n2397 69699\n48559 54189\n45100 67695\n39017 71684\n9169 81558\n67301 69891\n15236 89493\n47359 75372\n37878 63418\n13103 14533\n6398 99583\n17790 97349\n26915 98513\n11499 97580\n43912 90405\n42148 64361\n4059 58719\n51474 53419\n94604 98590\n13257 27307\n52107 87090\n32384 75448\n78978 84824\n10856 63808\n1070 83675\n728 21281\n19275 46881\n85333 98758\n19725 45193\n50050 85960\n32654 47363\n54494 61081\n56263 57588\n12526 19027\n58356 58404\n53648 53693\n39924 61013\n4844 58329\n20680 48932\n34291 95237\n54011 64461\n67417 71074\n6629 64279\n89441 93023\n55404 75884\n19750 27625\n69950 76372\n7832 62045\n40134 78384\n25257 94201\n37586 78644\n67677 75502\n22943 78961\n46437 47522\n5801 39402\n38049 71351\n82420 88828\n13867 89653\n28371 32683\n45876 68755\n56239 79659\n39435 97594\n43854 83068\n78882 85009\n5438 46087\n24476 88285\n53190 94161\n3554 75816\n46774 77596\n59838 99628\n70059 97537\n16065 40227\n61709 91914\n266 30667\n13778 15333\n43009 81204\n40834 88924\n2385 74653\n19721 62995\n16280 87923\n16087 33617\n27843 69984\n17458 87009\n86846 94621\n24255 31360\n19275 61779\n74012 76307\n78773 90647\n319 54963\n46631 50545\n3457 21598\n39265 86613\n7327 88436\n25874 76807\n61518 86050\n2086 16522\n20313 37981\n95748 99741\n16071 98938\n36354 93716\n8901 70925\n64149 77711\n15961 78227\n77066 88161\n64986 94674\n24108 69125\n8117 97402\n24929 27210\n11112 95636\n48515 68964\n21806 63213\n48704 55839\n56513 79988\n27473 56241\n32334 32588\n13861 22005\n11546 77428\n37140 40787\n30657 46753\n55675 94023\n24684 85913\n60370 88336\n1608 44304\n51656 74570\n30576 34652\n2169 18696\n18258 44893\n11084 86481\n25706 73415\n3879 68600\n41826 64954\n49324 63139\n63804 96536\n12108 23476\n81337 85660\n72158 96308\n6147 78217\n15475 70356\n77958 82305\n64451 73538\n23522 25089\n2626 56842\n6307 61895\n28901 87843\n11399 15788\n10254 39687\n3052 34976\n4177 48007\n6672 41199\n6079 23679\n29843 54576\n72532 93303\n66464 75008\n8038 34623\n28141 99601\n18345 41327\n57334 59628\n73031 97923\n29267 69283\n57285 83150\n15193 56486\n22439 92771\n13024 29998\n45106 60543\n22436 27251\n68736 79508\n65 32254\n22216 68463\n15447 57300\n3918 54193\n32712 59977\n6379 88998\n18135 38951\n21529 23021\n2943 93784\n55356 64228\n70652 76405\n36093 62698\n52886 81945\n39304 53320\n21794 50280\n3802 86640\n15574 80743\n6191 45916\n3428 52908\n27022 68796\n33231 84616\n26456 86178\n9498 31593\n27260 69965\n2128 22940\n49301 74602\n32372 35606\n8199 68753\n13064 68702\n22888 54686\n74162 78971\n48636 53053\n15528 62310\n26901 44510\n25387 91206\n60948 97107\n16011 24198\n861 36405\n26523 64941\n61257 70759\n25002 85441\n3708 83494\n10102 11512\n29751 42831\n25929 59862\n88826 93552\n38552 44017\n10174 11788\n7147 93602\n19800 69420\n54297 98010\n35781 72689\n2277 45093\n15934 45444\n52422 79669\n113 88239\n53439 59778\n43136 88824\n26851 92107\n93965 94044\n79264 98322\n26615 62388\n43343 95636\n1848 21007\n52524 73451\n65699 75703\n33326 94451\n34337 46111\n83839 92366\n61728 82373\n27214 77709\n83269 98252\n1756 71982\n63343 64027\n55083 93069\n58495 67323\n81600 86667\n24284 62660\n42190 67380\n40299 85919\n36724 62404\n9785 23739\n7310 17613\n2154 90279\n12327 32914\n27690 98527\n69891 83207\n42032 71010\n54217 96116\n14271 84972\n30186 42302\n28980 94623\n42931 57366\n15380 91381\n25361 82089\n55802 76866\n30413 84827\n21858 96466\n24087 44669\n34472 94297\n11990 13473\n59277 60819\n61440 87300\n97373 99013\n26913 40145\n58671 74054\n35934 82323\n987 95188\n50813 55823\n51630 85128\n30172 82189\n17228 21548\n49624 61796\n82667 83858\n78233 82578\n33546 44278\n26474 53037\n94138 95001\n13623 52350\n24643 99387\n38902 79605\n50154 73344\n38365 90905\n54679 72449\n13002 77145\n7561 23205\n38492 54593\n14598 93509\n5644 44623\n6675 86706\n2172 74686\n7701 36914\n87235 96359\n31613 63471\n56135 86094\n15771 86359\n10751 88907\n26784 36332\n61963 93087\n79636 96729\n19991 64477\n24106 82921\n40290 43051\n64856 84318\n53865 86051\n9266 88811\n1002 25843\n73928 77876\n3578 70000\n27537 97090\n44448 72193\n3593 48042\n23686 50858\n14187 21567\n16414 88604\n23595 49644\n85938 92365\n15994 73455\n3551 16096\n14812 98007\n63307 72496\n62756 63320\n53615 89811\n40858 43479\n6042 60153\n69537 69985\n68974 88728\n3441 12277\n30526 41949\n15066 54730\n15213 61126\n30461 79897\n50507 72976\n3961 26939\n8924 38901\n94236 99328\n10456 98642\n53985 93318\n68133 77074\n29051 54938\n42553 95869\n49633 54262\n9063 16950\n12409 70902\n56608 87198\n1658 51606\n1284 53338\n16905 79177\n4174 92792\n29271 54396\n70915 87970\n51448 96247\n41234 98817\n43629 59956\n30334 49995\n3469 39180\n7492 45981\n3720 68696\n87181 98567\n79481 85429\n18255 58067\n42790 46327\n23668 25353\n52492 92564\n50569 94002\n53414 96372\n66758 77156\n31605 37755\n76894 91707\n21453 68732\n207 34392\n6926 50415\n610 23137\n10175 76289\n12065 79588\n18961 66416\n58448 74232\n40111 79383\n51379 66324\n22601 59506\n10913 34135\n33440 34184\n96593 99321\n5255 12411\n1 26576\n22906 39031\n70937 73967\n12719 17566\n46310 63485\n50788 61266\n10446 47290\n37214 76950\n57905 62455\n26958 87912\n59106 80711\n8819 62566\n253 35610\n43898 47086\n25786 38401\n69687 97145\n22086 40334\n14784 20177\n89774 98282\n9336 52035\n60577 68363\n7304 52488\n14605 51246\n15878 78538\n20994 93006\n42522 82484\n87576 96658\n23758 92680\n11157 76418\n8430 19662\n7326 84199\n28647 47244\n28862 42837\n16681 66888\n19056 84531\n31335 71930\n44163 69312\n62126 87553\n39169 52084\n24145 97434\n40317 67931\n16884 89100\n46572 54020\n43602 67432\n20544 85185\n9275 36987\n40237 54057\n42243 55274\n6773 24191\n4762 19894\n11925 47007\n8728 58696\n34676 42266\n42172 46952\n17334 78767\n53209 80230\n67581 75982\n28042 96396\n28514 94041\n48088 97770\n71777 97212\n13323 26956\n17893 58616\n40453 79206\n10853 28768\n22709 59039\n24950 75801\n2621 62365\n45009 79610\n19796 28079\n19727 58210\n85626 87969\n68087 81121\n34721 87888\n70822 88304\n1870 11854\n2794 3475\n47378 50313\n49444 93908\n20118 84401\n77450 88823\n14310 18703\n33063 52096\n17969 29038\n16392 89975\n17739 25776\n36103 90204\n37979 41769\n18978 35482\n48575 61703\n20492 57550\n9826 84188\n33984 94195\n54878 72336\n30679 83660\n83117 93865\n23003 47181\n4722 5408\n6002 18241\n27852 66494\n30833 79119\n68909 94900\n40667 73649\n66797 86837\n48058 93652\n1839 85790\n36237 94448\n68136 72467\n10050 76962\n30025 89430\n37256 51380\n80185 83996\n44637 52022\n41763 99004\n67748 72136\n2960 59746\n15191 74027\n619 61182\n26704 49364\n43291 90130\n17148 77212\n88765 90442\n22481 54514\n1431 51589\n13187 46327\n58786 70398\n17193 94431\n1347 51054\n31990 43987\n169 27570\n3872 91991\n27527 80936\n72390 79057\n61114 75065\n8466 18894\n18299 20272\n7910 44983\n52794 57643\n8049 34548\n24277 39769\n29405 95657\n27692 84721\n9369 45102\n12737 24494\n15838 82065\n17886 94244\n46320 77583\n68188 70733\n30640 80994\n66928 76604\n53555 84717\n44494 89848\n29430 96844\n28662 83338\n60382 83338\n74365 94991\n45992 56927\n2625 50398\n57801 58297\n80163 90667\n73505 95371\n16146 83767\n39474 61134\n1106 55360\n68822 80556\n37385 58685\n16806 58104\n49046 72947\n69696 77006\n55578 86331\n6800 42671\n29693 76312\n20394 89189\n39856 84862\n36445 95615\n55525 86227\n45563 49671\n11417 77488\n15778 72742\n12468 29138\n5636 89494\n22407 46643\n43569 52881\n29226 78683\n934 45314\n44227 90192\n70449 70840\n20194 48444\n32355 74932\n753 65817\n62779 82449\n15502 16078\n59050 93699\n64291 86832\n25492 93389\n34017 52540\n14402 48219\n58282 99716\n74054 90981\n30549 89343\n42561 95380\n1768 62857\n44226 82844\n59980 95712\n5013 32741\n63014 90445\n45306 64982\n20805 99571\n42716 96907\n34941 70370\n36129 87987\n9640 60945\n29632 69596\n4215 35294\n38488 55066\n41153 72841\n56376 57773\n8317 36107\n27452 30752\n17524 91336\n79005 94769\n22645 98513\n40316 65986\n8196 88849\n13416 82235\n5721 22701\n13289 54299\n49572 52291\n31472 34436\n81947 84225\n40461 42088\n91778 96453\n9761 96685\n43409 86098\n21905 66196\n65694 67097\n5925 8952\n20208 77022\n1398 60076\n49575 86079\n1147 4593\n52548 85256\n4095 62683\n9254 15589\n87806 98210\n9674 75151\n45647 47936\n8325 17742\n23142 61184\n94038 99879\n83618 85148\n20688 25816\n2035 26198\n544 27096\n1448 52078\n33417 38749\n6337 40518\n47725 48179\n43863 45748\n59084 65195\n23956 84683\n12602 91963\n9704 66756\n60765 97385\n19957 76231\n35703 50337\n78663 91921\n19479 74839\n66576 80208\n24256 29740\n1070 31297\n51764 60243\n35490 76790\n509 93617\n30062 80628\n21126 81518\n71405 95801\n58002 91939\n17477 20555\n38934 93377\n566 35719\n28787 62947\n331 41287\n5722 26943\n3945 77469\n18204 89625\n29051 72035\n5144 23839\n29341 60690\n26273 52631\n36174 64368\n38005 87811\n50155 57350\n53297 69722\n52372 73120\n63592 76096\n35661 44030\n13743 79827\n22889 73753\n12708 89247\n40178 71629\n74453 99938\n10834 36146\n21992 36129\n36957 71671\n22948 71371\n41524 97250\n61435 83305\n62118 93795\n13260 18628\n54943 72325\n34795 57441\n80187 94178\n51333 94469\n36485 56816\n10279 26501\n66269 84833\n24226 84050\n39462 61385\n12284 61446\n57452 74095\n6971 21639\n826 66658\n63990 92909\n9804 72453\n50055 54534\n32439 54761\n11374 54982\n92224 95898\n48307 83304\n8034 94837\n36282 84766\n22201 35476\n2985 22892\n15456 66575\n82354 91192\n73643 96479\n7732 75618\n48718 98090\n77322 96443\n32605 52364\n26667 71697\n5320 96031\n12845 35056\n31457 32263\n1153 87421\n24292 30991\n7836 29326\n33495 87893\n35738 88785\n2869 43275\n50181 70753\n532 7292\n31430 60521\n23859 85326\n6324 72251\n13645 61181\n29923 70289\n20697 76538\n44802 48588\n18538 79840\n3185 88556\n68600 92962\n52891 94205\n44239 48268\n79075 98469\n22077 99031\n53605 68061\n35256 92592\n22556 68010\n34096 80975\n25908 81031\n20555 26943\n6969 92304\n71088 87839\n76842 87325\n39327 57479\n40275 75182\n50829 85449\n74265 89066\n2050 53953\n73591 78742\n18675 78348\n64876 74443\n37638 54251\n73110 74011\n27200 33969\n34031 41321\n19653 44775\n7021 97827\n37461 94158\n268 14476\n32645 80254\n32726 34840\n2599 60380\n12332 13804\n84228 94776\n1351 99944\n59322 82661\n10351 40501\n78879 93673\n48851 87186\n84706 86241\n11181 32560\n4213 85287\n15879 80673\n23428 38319\n2521 27485\n72679 84059\n60866 71552\n43362 48185\n13648 82599\n11526 62003\n64971 94497\n23502 25358\n35589 62779\n30051 61572\n60779 75867\n33009 40319\n10810 88621\n59797 61564\n30554 63091\n46433 79152\n39925 44697\n5307 54903\n52410 96109\n5554 47048\n2526 72221\n31616 90503\n37688 95559\n53505 70570\n18816 44636\n29288 58235\n15044 77605\n22433 85055\n40939 41238\n53465 90800\n6138 40295\n51804 96464\n29620 81640\n20512 68137\n27790 30024\n59579 84428\n55394 88821\n19103 44424\n817 9146\n14024 43199\n40823 91398\n44907 80046\n21289 98054\n43226 52675\n68540 94294\n65775 89021\n90611 99526\n26485 26831\n27713 34432\n21798 49245\n9535 76818\n2392 42914\n35134 43060\n75442 80394\n36506 71549\n50664 87970\n172 63660\n31462 86546\n65394 86057\n54304 93783\n93341 95813\n38664 58660\n7560 73587\n46152 99934\n62201 88533\n30005 95872\n78243 88763\n8925 19834\n21092 58705\n15910 81526\n59909 70816\n40102 58112\n18205 96087\n34110 38291\n62200 83182\n16502 44304\n79313 83902\n27098 90254\n30703 33953\n15588 72442\n41429 43565\n10878 50388\n40648 74150\n56288 69002\n791 29413\n7203 76704\n71127 87300\n39812 85974\n6688 65608\n39264 42820\n56615 76684\n35430 78820\n8354 11529\n20686 95659\n6703 65299\n26644 94249\n25851 42297\n55234 75385\n48726 52436\n83415 91459\n26661 67571\n4595 50010\n7642 73845\n10484 39461\n57093 85764\n49961 98886\n35613 61075\n9693 98034\n6088 8270\n16117 69457\n38070 64233\n40630 69576\n43835 53920\n2345 30728\n502 63848\n65947 80947\n40303 94373\n7854 40226\n29805 66846\n51887 65193\n71811 72048\n45759 61892\n58755 80536\n55078 95573\n16495 47086\n10859 15629\n2752 36391\n10916 28714\n8037 96908\n27922 91978\n11072 44250\n5845 74226\n46873 81120\n28698 58196\n29858 56781\n10936 36392\n1019 62287\n64361 82147\n59953 78958\n23388 71027\n62612 97708\n61893 82798\n39244 94868\n2353 11997\n50247 65576\n28299 30560\n58862 76784\n16991 20087\n42152 87890\n5435 10593\n13845 13861\n1979 49653\n35621 89886\n26143 39868\n37637 37969\n28366 39401\n56849 86193\n16227 91961\n57259 61563\n9986 88010\n62239 96924\n14887 72886\n6461 68575\n5814 6540\n4313 17279\n43643 45154\n36194 65855\n60280 93244\n25123 65645\n7143 46566\n13454 51267\n8017 8828\n25608 87281\n17071 92152\n49083 81373\n34032 88955\n63926 83282\n5885 28637\n55135 57752\n4331 47850\n47460 71238\n7256 55381\n66005 79505\n21240 29731\n31964 86187\n61086 76101\n73333 95504\n27357 57394\n77840 94065\n16631 37665\n84440 97050\n53851 72362\n36526 47201\n3394 68917\n34271 79382\n17702 76309\n8332 70117\n42358 70201\n10204 28566\n71010 72699\n26002 97368\n28441 36773\n45363 91062\n14239 83832\n17948 68199\n30887 90795\n41620 90101\n34407 86565\n3989 42975\n13459 42438\n40369 83643\n10362 69002\n50443 72470\n16667 28082\n1900 44414\n24523 39076\n6003 13819\n49511 54242\n44404 46487\n48984 75478\n65003 69456\n40066 53854\n41764 85684\n22795 82224\n53667 94804\n66406 76559\n42247 60090\n71388 92302\n66084 74325\n49036 57458\n5062 80249\n8237 61058\n22996 40770\n48238 88731\n48143 68053\n14256 17849\n42578 43760\n30369 73252\n37126 78265\n35415 83775\n48672 56332\n24363 66586\n67902 81187\n23547 29941\n28217 35337\n2867 24345\n48621 77945\n16640 73006\n25888 52056\n9856 85744\n50803 50997\n15085 45675\n20478 41905\n97909 98773\n20028 92523\n29864 56925\n33857 60837\n17212 45971\n60730 95762\n18428 34652\n11508 32539\n62913 95169\n37324 60810\n2415 66356\n26669 66941\n26727 96075\n15550 37567\n35317 88931\n41792 80543\n22727 38133\n53723 92359\n6341 56358\n67587 83266\n42481 64170\n13857 52121\n94787 99799\n3539 14885\n5776 37336\n27255 87372\n1933 30188\n16475 17008\n8128 54725\n25668 38715\n35029 50740\n5776 68223\n15753 99973\n22048 53629\n41520 92957\n3034 55179\n77490 81542\n25800 99503\n16612 92370\n62530 98140\n56437 65742\n18916 60715\n29751 98500\n79415 88433\n6603 28852\n1826 99684\n45431 98523\n26437 81129\n81493 88129\n22647 41487\n8210 97444\n38116 42251\n31278 85577\n26925 76661\n336 18462\n14774 82986\n60952 77993\n48104 82897\n2370 16357\n33725 88070\n20811 47390\n12512 56393\n36740 82524\n67936 89822\n45915 96987\n4991 57552\n10173 69667\n18222 37445\n10160 71833\n3009 82133\n39732 68253\n1952 37420\n7254 55837\n8134 63716\n65931 78890\n24318 27790\n25116 94642\n516 81960\n258 80415\n8638 78157\n40887 51122\n30628 82762\n11634 44783\n41523 42054\n4331 74713\n37125 69318\n54126 73681\n59286 62748\n32172 73177\n22356 37690\n67279 91429\n57150 62474\n86031 92562\n7898 75732\n51361 55786\n15459 48307\n41952 61585\n81404 92697\n46222 47082\n3324 66988\n20570 23708\n16408 98756\n45846 82350\n12295 17371\n30334 54763\n42145 53891\n39926 86522\n54138 87019\n87476 92594\n23932 58066\n21182 27789\n23049 32235\n35911 51539\n27860 34908\n17703 39479\n18593 92579\n50108 61090\n15510 98254\n23943 68006\n60539 69144\n59390 76084\n63567 65462\n1886 59703\n75318 75950\n36194 87613\n5501 45404\n984 58264\n67310 72946\n42391 68391\n29030 29250\n46123 89203\n47797 91260\n55000 70688\n30674 87598\n37662 76544\n48987 94981\n65752 90415\n55223 84924\n64485 70054\n15478 68717\n20051 62162\n41255 44559\n33331 85387\n15004 20234\n3642 79707\n29450 45719\n28800 93410\n32919 76776\n5586 10964\n71109 78091\n7218 75622\n10693 83834\n66235 79087\n50528 51306\n22383 79149\n77126 85285\n52254 69422\n4276 92555\n1013 70722\n45431 95701\n19559 49317\n14378 54840\n33070 50957\n84581 91645\n27394 46962\n60119 90803\n14824 37342\n44476 98270\n14350 22299\n27406 55446\n6907 36170\n39710 77035\n53762 55990\n2562 17861\n71986 77636\n14366 16654\n45824 61978\n10886 70050\n94382 94964\n60776 80037\n4987 60146\n54548 75558\n30622 94577\n40617 72424\n73020 86047\n80780 86741\n11089 20486\n5397 49325\n6121 55186\n9204 34224\n68980 91706\n27374 94815\n26559 37890\n72698 83955\n28337 29433\n19928 81449\n56028 57558\n47478 93756\n2572 15762\n11856 74206\n12611 86824\n2184 45370\n12582 89271\n10237 89071\n19183 65464\n10323 29503\n79005 80605\n62224 71938\n969 6802\n3448 22976\n11004 50685\n28356 68612\n87894 93792\n17692 89127\n52426 85944\n22007 24134\n35277 97282\n51777 66621\n26182 85659\n3356 7904\n33456 40162\n43220 89758\n1900 59081\n63776 87760\n16474 70116\n27925 99282\n27608 75824\n22173 24820\n13719 99201\n21073 53818\n28309 52413\n70736 70815\n60721 60884\n12467 33218\n41819 79939\n38986 54765\n2648 26781\n24459 78267\n8547 77132\n208 47759\n60156 79533\n13127 29915\n6760 17202\n47908 78277\n45028 87706\n65744 94128\n58957 88748\n64147 87938\n4011 75339\n38453 64870\n37940 86831\n41163 88532\n15233 74375\n1264 47250\n10231 64548\n6363 20337\n42078 76665\n64877 88200\n19536 48323\n10150 48671\n39332 64474\n69943 83990\n61773 91173\n39848 42405\n55237 74113\n29605 94507\n28605 79273\n33519 66057\n52049 75819\n40170 48647\n1208 26189\n78293 85124\n11877 81160\n25884 26612\n6034 28628\n4943 63838\n7016 33613\n53503 75644\n1366 65984\n77245 92790\n24631 88640\n63483 98819\n32601 39256\n37318 37485\n12691 73544\n13228 48301\n13459 46889\n14511 32324\n13831 52530\n78444 88214\n25424 36560\n55633 66442\n43026 56303\n44821 74072\n60551 89233\n8447 36824\n5588 14633\n47601 78623\n51233 57581\n12706 76643\n52102 85900\n13413 41466\n8448 17430\n6975 28085\n26117 30886\n79984 85462\n69180 91092\n5766 39032\n49287 75676\n42707 77386\n51081 53906\n41588 69516\n3507 36886\n284 8418\n65481 75884\n20723 50811\n7048 75704\n47076 95750\n11513 33064\n26447 38496\n53092 96811\n69393 83834\n7517 98873\n33968 63562\n19434 40453\n22850 41078\n16959 54025\n4361 47983\n28179 35611\n61150 91331\n52230 82303\n32148 85348\n15125 63562\n25379 92216\n56647 99736\n29215 91095\n75928 93756\n62401 82464\n10327 34725\n34892 39471\n59305 64795\n89788 95960\n69206 71539\n14670 98667\n3481 72242\n35282 45422\n11769 44157\n44820 50820\n12432 70122\n42372 70597\n45275 71701\n2438 38829\n16977 50771\n13008 52597\n14104 40514\n18119 37938\n384 17481\n15390 99719\n43348 76381\n21992 36895\n21078 86807\n34979 63730\n37657 39346\n53624 75494\n34343 88398\n59586 88131\n19624 21797\n41185 95122\n62689 82170\n27795 49654\n73136 95330\n19728 62497\n5774 38823\n71055 82998\n20695 68845\n19897 80351\n48214 55351\n26201 27565\n21057 71977\n36442 67722\n37556 48464\n79003 82450\n52778 81534\n41802 56836\n57436 98740\n77040 86554\n3781 37010\n7749 41230\n55664 61412\n62101 97208\n26650 47178\n8449 77893\n49368 87808\n55531 72490\n7569 16301\n5152 8760\n3868 71392\n82960 84550\n67604 76045\n44633 55084\n22218 50652\n7937 72441\n15667 49195\n69753 72486\n82118 88454\n699 29598\n1192 42028\n65504 81171\n35891 94048\n64350 69989\n10295 99327\n34439 48834\n6368 95942\n44533 63280\n9211 19482\n10557 72453\n54798 97580\n88734 93329\n82576 94049\n9543 87001\n884 12454\n18629 65030\n4961 49036\n62975 86649\n53536 85683\n3133 22143\n50921 77324\n26543 63537\n185 39953\n29687 46200\n16506 65998\n50517 98557\n8902 79211\n85693 99052\n8552 96365\n28745 43114\n3762 44335\n47299 93692\n42311 94374\n22359 63250\n13549 44041\n10028 44033\n48358 84553\n30343 81110\n922 76433\n22717 84095\n23312 97825\n15426 77301\n52932 94767\n1922 78262\n19420 83677\n73679 88177\n15436 94370\n31298 41721\n12190 30127\n39163 43901\n9638 57382\n19703 65279\n48436 85426\n35717 63846\n6109 10237\n5301 20733\n36923 54804\n71342 75068\n32463 51948\n9990 44815\n19959 76332\n55343 61136\n10679 91402\n19999 26311\n8917 22400\n62256 99239\n9357 70233\n10704 11585\n9882 76286\n57562 71985\n50964 88633\n73011 76897\n25556 92757\n64790 88804\n22353 51211\n14831 66575\n55947 65149\n67401 97336\n31430 47689\n5273 24638\n585 68368\n93495 93872\n2842 81938\n31822 91555\n36817 70265\n7943 94179\n92629 99287\n51264 72444\n6182 99746\n15556 19269\n11887 69148\n46329 60710\n32137 62688\n18301 69653\n80405 85895\n16870 30670\n33832 74073\n36389 61631\n42887 61145\n90777 99150\n57808 62480\n3797 72484\n44168 62940\n73608 83382\n16677 57897\n47399 99846\n52492 62917\n41968 57252\n26613 40103\n25212 27270\n51151 78553\n81327 87901\n92379 99356\n25936 94567\n50913 59370\n15102 42858\n16407 23526\n26845 48091\n93794 94803\n2649 55004\n34046 91702\n18300 24589\n33923 62702\n40283 41172\n36162 78581\n76794 79026\n90802 96312\n21779 23638\n22557 35018\n46061 72753\n19800 45347\n23712 32723\n27002 38719\n20535 57627\n21806 68830\n31850 67946\n31051 82877\n12463 13824\n14627 50646\n34855 47253\n65399 71303\n77592 98918\n11945 86672\n6534 62316\n44302 58108\n6782 21580\n11320 93060\n71069 82609\n5160 54345\n14168 65781\n78213 92311\n8309 31156\n59622 75179\n42535 57160\n28068 76515\n56117 80382\n24019 48285\n32137 32786\n49871 65673\n5378 90696\n67935 71238\n53527 99023\n19792 37950\n61201 93797\n17392 93082\n22530 41714\n5364 48280\n33440 86562\n14860 84429\n8874 61375\n9525 73263\n63281 99642\n24392 39466\n78392 86332\n27059 82717\n44048 86216\n23208 75291\n893 35083\n54202 81873\n56493 86562\n53375 91951\n45620 47313\n67631 82799\n15642 74194\n48200 79613\n64202 75669\n18503 34670\n25618 47739\n2491 49945\n69090 91829\n20350 36866\n46293 54189\n8959 11182\n56174 92079\n13648 49911\n22877 35768\n28572 63296\n17873 48036\n20997 35821\n41470 84114\n8631 33160\n49700 72096\n20504 36937\n16990 97921\n13390 16994\n21462 63866\n5927 64524\n17398 47440\n913 41318\n27873 28034\n37406 85128\n27998 55279\n85156 99541\n45717 68551\n48206 88223\n31513 39727\n12737 84047\n15624 43687\n18847 97499\n16512 53556\n85559 95888\n55633 97339\n1940 15176\n70216 94389\n3868 12988\n62259 81109\n12906 27485\n23892 93760\n25984 75119\n77412 81400\n33804 43916\n22916 50234\n23061 69106\n12245 43887\n68380 70623\n23650 73829\n7510 55988\n30032 66910\n53910 78879\n90029 92566\n14343 25375\n39241 69816\n55874 79700\n19518 53863\n4129 72799\n2469 19777\n19064 89451\n16299 63236\n40254 75610\n35761 38792\n68867 86505\n10881 50705\n43691 52087\n54204 97366\n43955 81707\n59328 84551\n56249 85796\n37991 62396\n25529 36917\n9092 58050\n27941 75807\n7765 37007\n13339 58748\n4735 90942\n50231 67283\n15832 17600\n1172 67639\n38764 75573\n44107 80229\n94722 97069\n7735 46139\n4514 60010\n26973 86934\n76296 78971\n30538 88093\n10806 47965\n58179 78505\n44077 87722\n28959 52128\n74650 77770\n22660 29733\n46406 78115\n4094 75520\n35766 37469\n11366 52771\n46667 78842\n5280 39136\n3433 83144\n50401 51492\n3831 82184\n10734 19417\n23469 61078\n81073 96686\n22958 82059\n24418 49228\n24176 29952\n7754 30492\n37276 40864\n26788 84486\n17680 30433\n24380 50314\n23820 42938\n81810 91140\n22497 96990\n53120 63913\n83695 94663\n17188 84303\n70137 98566\n2958 56468\n434 70294\n4075 70127\n2969 42981\n32512 47891\n58276 77899\n21546 57456\n29385 62448\n15377 40539\n56794 62701\n43907 64230\n76590 88210\n23929 37381\n48481 84757\n17589 93604\n8384 9111\n10921 80069\n39436 90886\n5732 60116\n31376 59711\n59332 80860\n13372 72399\n13650 85328\n43290 74988\n47652 73232\n6855 21342\n28331 81981\n32923 41825\n36751 48751\n19412 26570\n91060 94266\n81420 85868\n5640 30994\n10682 60323\n27653 95357\n7263 98358\n51865 53164\n34747 38322\n59867 87487\n9301 54823\n74176 74284\n15178 34530\n25203 31677\n71637 98512\n37104 70962\n17960 46042\n5382 30671\n57691 68777\n8474 90343\n56167 65168\n76179 93565\n32188 73451\n20662 94942\n48824 63214\n38445 39781\n87766 89382\n17088 76225\n54809 89415\n3544 72143\n40596 97164\n31440 51710\n2463 41104\n43908 77130\n31181 54831\n46282 49499\n45345 72112\n13584 17060\n48378 82759\n6412 58325\n32045 75695\n23895 37781\n32085 82395\n37843 84231\n11264 65736\n12283 37643\n2119 10985\n37664 39329\n61948 72706\n17960 97758\n59586 79976\n51559 70811\n28825 64163\n8716 67107\n56857 61706\n30327 60841\n23698 97272\n62819 63646\n4203 37745\n6677 39288\n48332 96212\n66012 70465\n50205 99678\n22031 66942\n35089 69154\n11374 21381\n22165 23905\n58917 83327\n17469 44332\n26736 57458\n683 36141\n29251 49322\n18984 26441\n8134 28041\n74005 91309\n8101 20365\n1016 59195\n10957 48648\n30036 43432\n82136 99632\n64385 85705\n24022 86413\n19670 55367\n64068 72514\n36534 57416\n41774 89281\n11539 30278\n13332 83895\n63985 89250\n32610 61816\n73356 84726\n35837 63258\n12836 16249\n4598 82728\n39405 85757\n16387 81144\n29919 30571\n15893 61414\n61305 91879\n69683 91069\n11935 46798\n34517 47754\n7746 58864\n55351 86288\n43957 72772\n26900 28345\n25163 42958\n14098 61313\n21787 93903\n25969 90045\n64381 73760\n17130 97193\n7007 55997\n70281 83760\n57435 75150\n32388 32770\n9331 71715\n86289 98917\n79474 85064\n37743 55049\n12288 17220\n5822 78387\n34610 69875\n15382 64132\n37342 37734\n52055 95555\n10016 44807\n40485 84274\n19271 51372\n15476 87461\n35377 62116\n35757 72550\n12211 83298\n4013 14531\n15346 29918\n44871 71979\n14340 67228\n14794 53895\n68071 97140\n66304 71078\n34412 74472\n22064 66064\n11781 15266\n14450 38893\n29220 39344\n36819 82588\n13681 60589\n48699 48847\n12239 82499\n2371 46103\n18453 44461\n9618 61212\n65464 73614\n31869 74503\n7979 78494\n29108 76596\n56481 89328\n79459 89043\n30894 37755\n34722 88659\n31075 52114\n69626 74337\n5343 67393\n32423 36212\n2366 51847\n55585 89913\n10404 79485\n24407 77071\n59443 90456\n4984 21545\n35811 38957\n14632 24617\n18847 49722\n43697 60463\n33128 38024\n20556 98378\n9276 67424\n64448 92873\n45421 84602\n62578 64896\n10435 21815\n74863 84002\n63525 65184\n2664 59253\n30580 35643\n570 63123\n74187 94911\n56898 98718\n47720 81259\n10602 32221\n76542 88414\n48123 94570\n79273 84498\n20021 90219\n23225 70471\n8050 32414\n13867 51787\n13032 38423\n8226 13659\n17236 44257\n11435 20631\n49660 96555\n5252 30928\n34672 48712\n24912 81690\n18114 75500\n4882 40560\n57906 62712\n27926 33781\n16554 26916\n35949 99986\n3094 17600\n42722 93372\n28156 84342\n81148 81320\n15573 40381\n30325 68597\n83779 97107\n49823 81512\n66497 75081\n35680 81638\n23506 28683\n15872 90090\n32886 98125\n21256 75497\n243 57041\n43909 81748\n8120 75711\n58675 75881\n13077 37785\n85396 95437\n73132 98789\n18396 81978\n73200 92500\n63537 76352\n30068 46398\n60698 84260\n28864 45873\n11135 54279\n13256 90703\n17397 86313\n41880 65840\n48118 62771\n15447 28845\n31651 50732\n29517 58495\n49 39180\n35901 49443\n4071 29211\n16005 52535\n42671 51625\n14136 64946\n16180 97434\n65918 86169\n21198 63118\n58168 87359\n65443 95036\n35989 81524\n13527 44591\n66922 92872\n82172 90000\n9762 21302\n26808 77860\n41372 58102\n10605 91913\n62739 65375\n37547 84555\n9138 96816\n11881 35377\n58873 63239\n35578 74070\n2217 7478\n41626 70253\n42172 42834\n2659 46261\n51860 61219\n44991 94031\n28566 59962\n30458 99731\n18766 20002\n12387 71764\n52670 56846\n6865 30072\n44033 71361\n30145 56030\n53951 93668\n2662 52629\n69114 94194\n7400 73234\n35449 47073\n68094 69031\n55890 94523\n26967 45658\n25425 26782\n5671 38075\n11236 67157\n40794 76923\n38577 55003\n16212 94206\n82060 95106\n73679 99031\n4318 73677\n42201 71539\n22932 81103\n35899 87582\n38163 74437\n36080 41060\n61702 64572\n20874 62565\n67718 90196\n39474 74300\n87164 97214\n20851 30922\n33789 81182\n39379 51688\n15265 59681\n10008 47761\n10511 67404\n83885 95489\n12808 37873\n31350 81816\n60832 82853\n40817 57359\n11855 89221\n89411 98368\n30652 50200\n58395 89820\n41167 52223\n24006 51958\n47945 90067\n17952 22647\n38201 72311\n60588 64627\n250 20383\n7328 84287\n40607 75568\n6657 94875\n36610 70298\n23666 55956\n36319 96917\n52015 70744\n25431 76294\n11522 80125\n44018 58917\n74498 85800\n38923 91080\n44846 73502\n43009 80021\n19046 41686\n58350 74362\n81308 99153\n53086 74294\n14950 39790\n73885 79996\n20200 87735\n28915 92196\n25330 92159\n936 9582\n5355 57250\n76404 77670\n37138 40764\n83255 98504\n44257 60383\n7000 32488\n7790 76326\n8187 69737\n32619 92470\n37984 69340\n8041 75847\n22492 41907\n12722 24753\n29373 45902\n21438 48306\n30601 39649\n80384 98435\n2653 85768\n1913 64539\n84249 93611\n6270 26243\n25145 42909\n59691 91841\n48066 78103\n30112 43503\n61703 91571\n46085 63628\n31155 39608\n76341 81143\n1525 9069\n26203 65556\n5045 91979\n43794 94160\n10535 25456\n8342 69394\n16240 33167\n3605 80504\n24328 34564\n47926 73143\n41428 75929\n78775 79081\n25255 81052\n45095 91564\n27920 64890\n72257 78088\n28669 46447\n20608 54806\n49489 72877\n10200 60189\n6242 35310\n978 78540\n8947 47953\n45288 54835\n6658 85992\n16061 76010\n69221 73021\n40742 91918\n28668 33435\n94272 97669\n57800 65351\n71326 72001\n16945 27506\n1051 74965\n129 55326\n46722 69076\n28243 34631\n44569 81443\n20071 98438\n31042 48591\n39871 98534\n21362 29193\n4977 50095\n39485 73488\n8456 66296\n16580 41214\n9620 93338\n4541 94432\n67468 81013\n62512 90680\n87510 99068\n41610 80245\n31713 65213\n37831 60200\n920 97076\n8114 45540\n33434 93106\n48142 87616\n24275 77908\n42894 49624\n21310 70788\n29456 40811\n75638 94610\n11764 74592\n4421 40656\n27176 42929\n5546 17486\n59298 80556\n59836 73707\n33191 42382\n14783 34703\n24886 25454\n4686 31425\n41147 56086\n53886 94836\n52828 82219\n35312 55065\n55614 73199\n44288 44464\n5747 99701\n50495 78118\n10019 54288\n22220 97614\n14590 61747\n10888 90925\n57040 70080\n27321 71634\n27121 53408\n32435 82624\n16384 82893\n20004 42729\n33745 71882\n10447 57809\n61261 70042\n44670 63312\n4314 56679\n53681 71436\n44948 72701\n59495 92072\n31802 33086\n45165 83905\n71803 98254\n9616 90021\n30212 93039\n89124 97433\n26512 97731\n54642 95620\n33806 43621\n7994 26917\n34250 86947\n35895 55248\n37409 76919\n18398 25077\n53477 93461\n8830 77552\n10641 22614\n46304 62401\n54639 69263\n59537 80864\n75968 77802\n20368 80811\n5144 85605\n55933 79407\n26456 56244\n6537 29635\n18992 78558\n26634 64003\n28436 31263\n49210 89639\n49783 52727\n13312 62388\n62202 81741\n46745 76378\n26101 38848\n45393 82361\n9462 97966\n38031 92435\n52361 89741\n17865 38257\n89114 99866\n49558 53774\n43655 98611\n34989 82142\n6030 91850\n53296 59595\n11136 20471\n4168 52548\n3616 53478\n20034 25893\n35082 99235\n65709 98730\n26296 74470\n26176 98835\n25212 69214\n21829 70430\n49908 80263\n20725 96303\n67087 99623\n20731 83424\n64067 68638\n17024 22573\n27957 93135\n65230 99514\n39967 80812\n19613 89403\n38412 65131\n4414 69958\n43823 46689\n49584 77104\n6087 89047\n72454 77507\n33044 84959\n11878 92708\n6811 44681\n17071 42315\n32269 55791\n7545 83612\n20673 24888\n7367 26940\n39429 85588\n43655 52675\n85165 89870\n30962 82676\n77722 85254\n7772 79142\n43883 62320\n26836 83709\n26972 31657\n64238 77536\n7194 36201\n77986 81549\n23992 68389\n8141 29804\n3858 52088\n34816 88495\n31549 91409\n56513 60745\n85126 98741\n14499 57201\n41423 67483\n22804 38933\n3895 95648\n43641 63463\n56759 92994\n58980 76599\n29386 67355\n4868 12494\n8782 74250\n40191 63756\n1002 20976\n85707 86957\n50140 71584\n17866 44288\n87989 94307\n18772 31238\n9850 15416\n8113 60116\n98674 98968\n51414 81304\n372 13594\n26831 65250\n632 67193\n8850 91067\n52877 53869\n27761 45171\n15913 31311\n51815 74199\n10532 38072\n38225 47377\n5992 75754\n50526 65431\n19110 33223\n12243 80567\n18130 69956\n85724 88092\n91515 93089\n53750 66414\n38906 79107\n33332 55461\n36042 68220\n26558 95135\n3993 65639\n30309 82616\n35884 93741\n32943 83651\n26509 94215\n7750 27422\n4905 52097\n65832 82930\n34316 67232\n37379 71167\n3502 4109\n5746 8572\n19275 20478\n44812 48267\n75204 78888\n62379 80941\n19841 87671\n80521 87856\n8234 38265\n39106 55567\n67260 89339\n15762 52026\n38393 77369\n4852 12918\n65129 91988\n13332 24748\n30137 33592\n86060 86340\n20604 20635\n32776 89097\n39779 47602\n18818 98842\n20255 56449\n18580 72524\n51154 77670\n22497 84369\n25026 66689\n38656 86424\n49580 56428\n56419 59707\n54114 98093\n2623 85772\n45288 79816\n61064 61861\n47205 53494\n24391 48851\n11006 49282\n8508 53609\n52431 67539\n61417 94068\n76955 95319\n13215 59470\n22150 86391\n3202 74035\n44816 52929\n63577 94923\n72394 86076\n14347 86619\n38856 76669\n12014 86667\n75060 77010\n31267 88050\n65729 72019\n13314 99609\n54216 69436\n58839 69440\n36745 41981\n276 50842\n28662 71542\n45115 63833\n20308 40516\n55280 63053\n53597 96517\n24766 37060\n1195 72988\n18643 85299\n80967 89402\n53843 95376\n20399 44256\n79637 92015\n46363 67113\n51218 81261\n10974 56677\n41481 51082\n20031 65600\n49614 57649\n39496 52046\n18732 56268\n36527 89714\n38737 61961\n10695 19004\n50944 74648\n36255 97223\n2457 94338\n625 85997\n27163 52243\n48582 99832\n30137 40562\n22257 76851\n30255 69760\n16963 64111\n18754 63270\n3240 23177\n23956 61506\n4069 19971\n80666 97763\n75699 80248\n1481 62075\n52337 63393\n20758 25355\n20044 20415\n10515 40314\n2508 30226\n3607 63166\n52597 89935\n37007 65101\n59224 85000\n45346 79174\n7026 27526\n6887 48454\n27951 57023\n19062 94926\n76997 91454\n48521 72619\n41376 85960\n35845 98635\n4392 7066\n22191 98835\n2784 78189\n18358 66308\n89162 96967\n2024 16004\n51931 52661\n50580 95085\n12931 73895\n1351 70718\n88642 95822\n26873 88621\n19207 83186\n49023 63850\n62558 65698\n69008 78877\n22305 92198\n71817 79016\n21995 75042\n31496 42062\n54990 82453\n29098 62397\n9456 89130\n24711 32541\n21246 71783\n67404 84902\n1081 34293\n20474 75655\n40048 79010\n5453 25242\n58560 67830\n30832 38772\n87003 94018\n38366 92826\n26938 65349\n10088 73214\n3879 39941\n51490 97759\n59608 72076\n38918 56018\n48404 60522\n3388 72086\n32511 36201\n15578 35703\n47699 72713\n254 49063\n1722 51439\n13319 64413\n80519 85789\n68044 69746\n16707 17274\n4794 79150\n17667 82751\n20447 48153\n4374 43570\n90709 98712\n17480 43505\n23783 26609\n58356 79205\n19443 84546\n41070 93392\n5589 60399\n11094 74190\n27104 52269\n60305 63267\n64431 73102\n32639 73682\n14835 23930\n92775 93070\n76444 89373\n7702 76073\n6515 70634\n15929 19570\n23872 67044\n19610 59649\n34452 79344\n17531 39304\n49181 70827\n61098 87235\n18909 92722\n15389 17878\n30790 76270\n53326 85591\n8727 59349\n2625 60839\n35404 54372\n23045 63657\n6232 80773\n16016 79220\n31186 58142\n8395 12578\n47619 78395\n25930 82154\n25611 46959\n6345 72356\n28956 69639\n30343 49690\n80631 85940\n48177 80493\n75778 77958\n56450 60760\n6302 98283\n5463 47657\n1578 33768\n55991 64477\n72845 93947\n36013 41692\n41601 69438\n78912 82631\n7458 63867\n8507 78945\n50840 56477\n3487 51438\n49526 77684\n19801 35193\n9676 75194\n22828 25736\n37999 55592\n54159 86425\n12157 18742\n60994 80509\n11681 37477\n3650 68405\n81692 87613\n77248 90076\n1237 38368\n20979 84517\n21896 85849\n36222 95128\n25606 43912\n73198 96906\n50051 51487\n44239 78665\n16872 28357\n2525 51142\n1058 72188\n59335 88167\n27840 58417\n51559 82046\n22905 99876\n4453 71893\n72522 93331\n29618 35634\n51567 82696\n18033 50933\n86689 91900\n21527 32674\n11670 93685\n53543 91819\n23135 85233\n32591 77301\n31127 33784\n18585 28847\n9862 48422\n22340 81817\n72755 89355\n54848 60218\n54934 55801\n22946 86606\n32477 83890\n1658 12035\n85121 99459\n66563 77701\n13176 49085\n11481 77716\n36766 59108\n4747 60892\n9196 75018\n47884 49866\n4220 85617\n12981 58627\n6574 94214\n17678 91051\n16413 33021\n10849 34994\n14684 19325\n57218 76528\n26433 91533\n3138 92334\n22732 38880\n54174 85362\n12167 88024\n10259 61964\n45953 49291\n19586 23961\n33272 75899\n39882 45758\n36859 60550\n21268 66582\n26082 74957\n16088 27723\n77013 79960\n6389 72142\n24515 32241\n39600 96065\n69124 76721\n14757 67621\n11173 63237\n45191 96662\n55118 70554\n3042 35460\n7555 30794\n1761 95434\n66472 99217\n35760 81300\n18508 79254\n32101 72950\n6526 65071\n47760 52877\n75771 92409\n4621 41286\n20001 20401\n15535 87302\n26044 98998\n17663 27307\n33923 78094\n76025 97377\n9947 73179\n83854 90809\n65778 79151\n61880 66109\n38307 67248\n53593 67300\n61923 89275\n53593 55746\n39658 41896\n44558 65457\n61217 70425\n34 94183\n12395 23032\n87653 94607\n26154 54412\n24247 53387\n13849 89566\n14868 90400\n35854 68278\n42620 46213\n5299 42011\n34608 45348\n15825 92860\n53930 89876\n2142 44905\n46549 80320\n17083 32726\n19260 50778\n13770 39674\n48934 60431\n46914 63639\n75592 99156\n8790 64301\n4744 36889\n2744 5777\n36638 85078\n61065 80037\n7105 70986\n9280 40646\n50913 63908\n50324 88943\n11429 96046\n56160 56185\n73205 98498\n41263 51637\n47667 68117\n42823 80821\n76197 99262\n64075 84081\n39876 81813\n38848 90955\n26319 86858\n34246 37068\n5353 49237\n64317 66135\n47701 90950\n39218 79577\n81616 91835\n7644 18678\n11365 63061\n9151 11685\n3835 37550\n19492 36682\n93762 99298\n29200 62638\n5302 43552\n56449 57935\n42581 88044\n52784 70759\n72147 89739\n11100 86303\n50573 78242\n12896 49562\n12899 47654\n13374 15861\n44412 71597\n5921 64853\n41458 72455\n6822 97007\n51808 99106\n28213 94662\n36943 73095\n42659 95809\n4854 31631\n17106 68226\n1020 91475\n48467 98342\n29048 43450\n6575 97110\n39286 85006\n26371 87353\n51458 53161\n23680 65980\n12132 35444\n60075 62786\n91540 98399\n38182 76065\n2512 11626\n26885 87508\n26523 70956\n26917 49336\n25910 95536\n50950 86919\n3978 51442\n46968 66654\n38779 77280\n50162 81226\n1007 88199\n29394 90490\n13135 35837\n15722 71363\n87912 89056\n22581 59602\n3234 88849\n2059 50432\n14 10389\n82075 94658\n41635 73381\n1964 85701\n19998 82682\n25878 72118\n12741 96168\n56768 61024\n4875 22205\n6063 30443\n6042 36234\n26815 57110\n54061 64298\n48620 84466\n46009 53265\n76266 92497\n18928 96674\n5919 47440\n65515 76571\n39447 89233\n70434 78702\n19415 62545\n62402 71895\n24748 90607\n28298 83750\n36569 52151\n20521 95962\n6267 6790\n34691 52880\n37192 47960\n43387 57712\n69716 72430\n7608 37889\n28838 88875\n29118 83887\n5925 82014\n7058 32613\n21048 71728\n21104 40093\n20214 68918\n1100 42807\n68568 78789\n21684 92900\n15352 28301\n37067 92812\n28865 78655\n36558 37294\n35535 91335\n67933 78919\n1100 30154\n25082 48961\n19896 90769\n52196 87634\n23282 82736\n50925 84300\n28274 70372\n6311 98236\n23932 54959\n71084 72653\n2700 35631\n36805 95653\n35629 41883\n51132 78117\n51157 66833\n54164 67089\n61505 73628\n13968 28305\n68437 88562\n9318 72644\n17896 25462\n39249 41945\n37051 73236\n25954 47084\n1081 4325\n96041 96290\n1596 7754\n5398 48068\n15533 75889\n45977 74280\n11593 91149\n60725 79809\n39287 74429\n52215 70686\n6414 50841\n5309 55853\n56268 75599\n32947 36287\n35114 50243\n95497 95550\n31692 99830\n16886 78938\n60363 91879\n69712 86127\n56161 78324\n2143 43792\n59995 75254\n16681 72464\n35505 53423\n16078 91581\n20211 75423\n43648 89371\n9258 16362\n25732 75673\n24596 65182\n366 34061\n58930 60370\n21366 73660\n6860 8297\n7586 66307\n8960 46057\n38943 55483\n26055 40204\n13759 48121\n49062 83765\n19596 32037\n9352 24781\n11427 35257\n52535 83124\n43968 82325\n11344 42724\n27748 71142\n732 26484\n36916 61983\n42113 98246\n28318 56838\n31120 65653\n33744 69758\n76441 93804\n2854 66965\n16553 97229\n14330 38183\n64917 80950\n32578 85371\n11990 62486\n19036 58950\n83995 98337\n34219 89928\n40597 85147\n26281 77333\n22861 98408\n65618 95105\n19797 86582\n16580 52672\n16561 61207\n4536 74887\n12137 44639\n57054 82200\n33129 98634\n70804 88374\n44806 49265\n7855 98421\n24394 67633\n23486 37298\n33569 81504\n40503 43982\n9547 74234\n50888 73085\n48657 60189\n22098 86460\n40765 68876\n10841 55579\n68275 93051\n22058 74583\n65521 82208\n5626 54555\n76448 97556\n87729 88041\n73105 93886\n5957 7558\n44707 54860\n10812 19025\n43101 52587\n64590 87444\n65965 80151\n11951 14041\n39111 54708\n24794 25030\n85530 91807\n22938 95805\n17593 22097\n31001 96961\n52891 74735\n29033 98988\n1712 78702\n54734 67349\n20239 91173\n45152 62424\n68676 97462\n42268 66794\n61792 89628\n69703 74258\n2048 49910\n34396 94976\n48016 89273\n10185 88451\n67719 88970\n43026 83377\n45844 86239\n26280 42339\n49146 95504\n23482 51891\n29713 68038\n26376 63822\n22887 29927\n76032 93611\n16168 52871\n15335 80334\n19454 44326\n9664 95432\n20197 90401\n64870 83976\n11210 35787\n46997 86150\n34126 93357\n8454 80146\n93985 94566\n11512 88582\n32632 46024\n29176 58918\n1955 78472\n24724 86272\n1729 70157\n17973 98108\n26356 56540\n57834 79652\n59966 88747\n19705 56625\n42930 54240\n60209 82845\n36028 93675\n67780 91606\n35290 83672\n16934 86177\n18058 30546\n29778 65663\n74633 76261\n81462 98690\n21021 92309\n91989 92150\n60423 74150\n3676 73061\n34499 93301\n36089 73866\n45405 96072\n30872 65476\n4438 88984\n35038 36041\n16426 32478\n69360 77855\n42190 57723\n15356 42268\n1239 47703\n43325 71155\n16688 19862\n66168 88850\n23549 96608\n60997 88767\n40248 43792\n59077 60826\n58949 68130\n59858 66024\n62978 75430\n83896 88742\n87144 92232\n1562 97394\n32092 98173\n54136 95109\n73562 94423\n15302 91305\n71897 79820\n18475 83108\n88573 96788\n22745 63322\n57703 71583\n83582 87092\n102 94233\n40903 93748\n31817 38942\n67046 93027\n73504 83409\n36145 41399\n44750 95873\n19005 65670\n12702 82899\n57965 71006\n27946 96897\n19762 26300\n50984 66794\n8958 99724\n5635 59862\n11375 81783\n55472 80994\n25946 54467\n50626 89027\n42082 58725\n30278 65455\n27573 58603\n1138 77302\n65361 98930\n62817 74392\n17384 23429\n12613 84625\n76909 79506\n4573 10176\n11750 87277\n7282 76604\n17243 48235\n7033 17828\n27328 45011\n29026 67742\n15666 96667\n428 37589\n30720 63014\n11380 85736\n21147 38494\n44893 65483\n14714 55196\n56645 63627\n6162 75058\n790 38204\n6400 20959\n39689 55931\n25120 65644\n46915 73110\n21833 38140\n7856 72264\n71989 86430\n20727 54820\n15506 54192\n63521 85253\n7401 51799\n12423 33186\n30583 85655\n42579 94939\n20557 97896\n3761 88336\n1585 76611\n28879 84646\n78024 82862\n66274 88604\n52681 73683\n14647 96033\n12249 31713\n25398 89882\n62017 99912\n35309 75578\n4556 86778\n4655 79605\n11388 52805\n14240 27317\n51168 72080\n4714 77367\n34639 99489\n46268 54579\n91210 94472\n55472 63628\n33485 70967\n14006 76773\n19070 75569\n80253 95967\n36409 51810\n2017 82225\n71010 96278\n72773 89929\n16200 92726\n2599 36385\n34609 70629\n10955 28502\n28011 29851\n47967 91929\n35693 97870\n8028 99463\n7164 49225\n60591 83643\n3040 62435\n2063 24688\n68778 91501\n16717 31164\n41271 91514\n49059 52931\n42285 97011\n35885 56940\n27543 60985\n14274 61676\n58286 93221\n34414 69019\n11823 66407\n264 74150\n80575 89599\n1880 96196\n3037 94071\n42279 82307\n47663 83248\n13204 28315\n54380 78464\n83793 95683\n82404 94529\n60734 84921\n81548 97155\n40873 47660\n3579 57570\n47766 49619\n3909 65341\n82267 91258\n52716 74522\n8746 14640\n28275 45246\n61706 69177\n20543 73883\n73219 89107\n26452 46393\n74507 78403\n21807 55968\n7770 48924\n44308 97643\n7592 38603\n42199 59860\n17764 59668\n57952 86824\n32724 49364\n60274 61666\n17975 94802\n21019 52383\n26275 43133\n8009 90175\n1319 90147\n44959 55249\n27192 33027\n16023 44755\n33648 83195\n33655 86757\n42882 99102\n8851 35974\n782 28901\n68175 95112\n19863 28498\n23904 50891\n37288 67804\n7710 79611\n20950 95359\n11640 81168\n4065 10886\n30073 95575\n37785 45964\n24517 81126\n63028 87824\n10949 37275\n6820 97009\n28176 36174\n21144 90076\n56430 77272\n43888 80566\n33140 53467\n73476 93863\n16065 79727\n71169 92727\n21152 95327\n39493 56462\n73681 75756\n36342 87304\n10036 68650\n24645 50957\n44677 99183\n92714 97122\n14295 40813\n60561 70526\n55144 66951\n2019 89039\n51751 55728\n79048 96148\n66963 99452\n7043 55665\n53173 53339\n48809 96571\n19795 29604\n27980 85948\n32014 61369\n75061 83347\n29101 36564\n9124 81517\n27223 89218\n74325 96200\n1577 61968\n61736 66463\n9212 28010\n32694 81752\n21896 98056\n12521 36208\n53378 92831\n11500 61577\n40838 87532\n10195 90905\n21752 91725\n10704 16899\n45383 62318\n47470 50871\n21912 46661\n16194 28236\n38635 66189\n2140 27159\n57969 66413\n10585 64224\n5681 76344\n86836 92081\n5962 82789\n32454 76762\n10635 95908\n71997 73967\n9322 87969\n6266 65859\n44591 78506\n91914 92305\n73494 99047\n3866 17441\n47525 90621\n26789 31199\n86751 96190\n29682 98502\n4877 8397\n3983 92259\n18845 36422\n23337 93574\n6963 29007\n40813 81610\n61718 64661\n23199 55923\n15780 35064\n1769 46885\n78108 81209\n16831 45946\n23042 72857\n8619 98657\n33458 36829\n23291 97745\n169 34366\n39608 62698\n10800 29581\n79876 98374\n32399 78121\n47191 57496\n34939 85624\n57313 71287\n47903 88268\n9948 27301\n47003 89306\n5823 58906\n26538 78921\n26062 87019\n15127 51534\n52367 68033\n37145 75059\n70875 94017\n37653 90605\n6702 61182\n5173 19696\n7308 53872\n50259 78910\n4389 4950\n63799 74808\n54644 81073\n72241 73142\n56471 79778\n89028 90374\n40562 85453\n21625 93635\n10754 40041\n484 84602\n5180 63160\n1236 54875\n88003 94818\n12055 28963\n67655 86912\n1222 94671\n61344 72751\n34398 75373\n50022 63716\n21292 84449\n54471 92064\n2535 33416\n7732 23320\n13020 55229\n42731 76849\n5311 18455\n11612 19765\n56891 94001\n36029 43361\n74082 99085\n69246 78978\n40624 59804\n47198 96245\n28067 98325\n39977 53958\n51239 97209\n24557 94489\n21620 73790\n79287 98509\n50766 80116\n7240 75337\n81514 95849\n51887 97293\n37448 52248\n15631 59516\n39165 98071\n13746 75262\n74859 94322\n81089 81395\n60670 66003\n23518 70639\n50369 77403\n2677 92619\n6437 45643\n5833 58712\n73665 79540\n63991 85859\n25115 66645\n7331 30339\n65932 91200\n13839 40601\n63174 96224\n26947 93963\n47840 66062\n54132 73408\n43780 50342\n2801 47682\n36305 85903\n22544 93452\n657 74550\n28571 91489\n7201 58539\n70755 88528\n20027 26222\n16594 86181\n7919 91197\n20846 75097\n21532 85577\n24575 50898\n3081 47343\n44194 76291\n10218 76231\n58011 99946\n57264 95516\n55579 90507\n13105 66569\n23808 56534\n43570 75502\n2008 15820\n34769 76625\n15271 17710\n17709 18866\n14679 92532\n19595 36337\n10396 95433\n37162 89196\n23254 70840\n55161 68231\n465 48279\n27416 38671\n25503 61259\n49448 70333\n29016 63308\n26676 30837\n68056 72318\n57541 98801\n34940 49328\n23862 60809\n1481 99718\n23084 30503\n6558 85527\n12243 99946\n28587 93337\n14695 37018\n63192 97928\n2354 91376\n17586 62484\n959 32678\n7580 16987\n20128 65274\n5205 45714\n82894 84218\n46357 73981\n8653 37516\n8352 34775\n73708 84906\n67861 94499\n26756 61773\n35003 36802\n30802 66251\n63887 73151\n63790 79381\n31406 52050\n21762 52801\n37048 44344\n10458 87232\n56018 74201\n10130 23845\n4818 83341\n27643 98840\n32074 74476\n13331 21753\n15357 30346\n18824 44636\n28900 95339\n24111 76760\n6836 23050\n8212 41797\n26088 58012\n18881 37326\n59573 84156\n13402 26861\n51016 53373\n41466 50165\n14331 22447\n5461 83075\n62816 90761\n9731 44778\n54515 78449\n19074 75946\n41691 88019\n76533 81797\n11280 30922\n43217 54776\n21876 78504\n18266 97638\n43305 99037\n55258 64476\n17690 74224\n27711 32884\n3326 27757\n2708 18482\n26660 45044\n26960 84288\n2220 8712\n5206 54367\n76760 80224\n12367 22278\n50025 78494\n15379 21909\n30944 92604\n80276 80417\n2398 4605\n36054 50147\n11138 93461\n3327 44482\n10893 28355\n38809 73541\n49600 96904\n69860 70036\n30863 36573\n58978 83863\n47254 65885\n46990 73505\n83579 92493\n15470 95037\n55881 70151\n3223 49085\n17552 76609\n30994 33735\n61675 66482\n22438 75090\n50535 68767\n65514 71875\n19544 23360\n39604 85962\n7771 97714\n35102 51429\n78057 98808\n27 96774\n29446 34055\n31052 95264\n29508 57943\n19535 48911\n5450 52110\n32330 77642\n20622 49376\n23110 37833\n26417 86267\n26147 55520\n12011 90078\n32274 49658\n2997 72802\n13264 88842\n12850 94155\n76288 99749\n31099 41958\n50116 63380\n44468 97834\n27608 37121\n75057 96929\n52031 78278\n62524 75289\n25752 55363\n47543 80673\n72146 95074\n58072 70341\n1874 69882\n62281 63180\n2559 61864\n77944 96658\n16273 44388\n87029 98547\n2063 85231\n10986 59384\n15234 28468\n20674 63559\n82325 89352\n34885 75446\n15767 79303\n2117 30592\n88002 97987\n26487 43670\n33413 51977\n47843 87457\n8965 38283\n50892 87937\n23418 99803\n41565 49528\n25228 85126\n46583 74929\n61881 67729\n13209 67083\n8264 50861\n42744 60913\n526 5033\n65876 74099\n21789 65772\n22496 67297\n30017 33094\n33858 39873\n54285 98959\n7211 14309\n72259 88263\n11417 27196\n13486 73870\n51864 63033\n16730 49690\n26563 80210\n66303 77982\n77322 91034\n16229 24878\n61326 84728\n1461 39702\n46688 59522\n57845 92201\n18586 27340\n2824 41197\n26936 92663\n6377 51671\n69722 76016\n25600 79812\n6049 57278\n29917 73007\n77613 98007\n37738 93655\n271 54151\n56822 72550\n37573 79617\n5804 46850\n10312 71573\n72765 96114\n11351 17662\n7514 17009\n22062 25785\n38506 65445\n63349 70278\n25890 75488\n59756 92512\n41438 86466\n51697 76784\n22088 36332\n56230 82727\n44259 52697\n28421 78350\n32368 42461\n476 70499\n1386 12655\n49337 80776\n71526 95313\n71647 87032\n4686 52790\n30798 62781\n70790 71827\n266 50495\n48441 77724\n70275 89881\n12367 74430\n62628 88691\n19525 33782\n43199 86197\n16494 52874\n42681 53702\n24680 54916\n44492 56818\n1994 28133\n18567 27345\n3272 36795\n63249 69444\n23182 52331\n70594 78859\n2022 38998\n18800 87830\n57228 65307\n24568 89438\n28771 55348\n1121 54284\n53811 93730\n62480 74583\n63445 79469\n3092 60960\n58965 92196\n10623 86963\n14729 70190\n66547 85089\n48782 73887\n2650 94087\n11083 42964\n20611 99801\n64433 92683\n33390 64463\n35664 99937\n38171 73861\n9191 62290\n21972 36579\n37958 51176\n57554 60723\n44779 69155\n34906 69604\n4845 46752\n7838 52391\n55562 79337\n36710 72263\n83614 89678\n15241 64936\n48809 69224\n26781 51172\n59121 75040\n3765 79417\n35526 73451\n52939 77113\n5024 51262\n8460 67368\n14564 90812\n51279 58267\n7317 90677\n54417 87375\n7637 96569\n39949 87538\n16105 26450\n5640 77240\n2842 28212\n32843 98377\n16502 77285\n43721 94391\n921 62672\n15896 88048\n58521 69762\n59691 64313\n2228 36504\n4766 32659\n80830 84951\n14931 79010\n66643 79600\n64226 79085\n47815 58729\n68509 80217\n49431 71453\n71752 88390\n72083 87153\n25459 65128\n55591 71591\n33018 97354\n4131 20067\n33199 61292\n20926 59498\n77036 93896\n2827 6639\n27867 27909\n8986 24200\n21898 58448\n22041 75570\n45286 57680\n82129 95309\n4164 86375\n6087 78781\n19273 61596\n15055 67063\n2750 31220\n12905 89478\n18403 22266\n56972 73636\n7526 94955\n42828 47579\n55011 82178\n39735 50627\n287 90289\n64053 89398\n83002 94201\n15426 56673\n19311 75872\n51834 58965\n26319 80990\n16143 58607\n2836 21041\n17745 43554\n95577 98520\n2282 37087\n20012 50934\n7795 76759\n38516 42273\n16631 50047\n5672 18405\n48221 66120\n3900 93016\n50078 65854\n92048 97105\n35206 41711\n62148 74381\n23398 66680\n12706 50573\n17733 56224\n1460 47954\n1521 96187\n25912 69360\n68195 80213\n28735 45708\n27412 68730\n43939 89876\n63008 79797\n32666 46972\n14028 47575\n57537 80005\n32569 45981\n49378 83024\n31413 68923\n41337 69561\n87758 99399\n41037 60550\n60274 67126\n9440 59551\n9407 86565\n49042 88222\n16798 88335\n89287 94822\n74096 90760\n15727 24095\n64605 65087\n9862 88006\n36979 95704\n42321 54679\n55707 92239\n57849 90500\n11297 21269\n51307 90522\n45259 60764\n2597 14737\n39184 90084\n18328 62416\n59486 60496\n55281 71618\n316 53495\n19130 48949\n14758 28867\n25715 44691\n11983 22454\n13326 34557\n28589 56894\n67607 90171\n5235 16978\n21837 98996\n41878 58547\n16177 61366\n63878 87895\n71923 89213\n37043 70623\n45234 71019\n9311 71255\n21452 88092\n40001 74062\n34925 80747\n40784 83069\n2969 5002\n22138 32485\n24094 96935\n180 44503\n32095 74369\n30420 37837\n29490 89520\n57186 90314\n18864 97691\n3229 24346\n44079 49766\n41270 94044\n29195 59495\n10032 99074\n69427 77737\n10689 21433\n22086 91524\n11219 51477\n86831 88690\n27955 62492\n66815 94482\n11786 79101\n16964 86664\n15918 72771\n2063 20782\n21893 50881\n3286 32820\n2866 65010\n4179 97184\n7204 66456\n67218 79326\n13054 18003\n1960 64232\n23345 37874\n2612 42631\n10461 32904\n41795 55494\n14653 17944\n39045 87584\n5211 41654\n49565 79547\n17800 26274\n6415 64426\n10429 89560\n4674 21592\n17056 64367\n14047 33273\n77609 88822\n44474 49085\n35019 43270\n2528 17580\n57577 84308\n54130 92260\n16346 32800\n44789 96500\n10747 41233\n61249 95288\n13085 71870\n65209 86430\n48543 91591\n14685 87066\n50927 51274\n13117 97556\n14501 48577\n73668 97897\n8041 68537\n16869 86473\n9412 9810\n41821 72051\n4003 40987\n149 79872\n830 73032\n4602 19469\n25998 29210\n63166 76332\n51871 97675\n16324 71493\n2511 75689\n1391 80370\n45700 76793\n52155 75606\n2932 49061\n18981 86570\n15089 28017\n1026 7045\n35634 75349\n287 73876\n10694 47894\n52934 60379\n5744 16544\n33229 37075\n33947 77802\n33808 81360\n41680 97172\n37601 38427\n270 55194\n63722 76699\n41187 59351\n47234 58750\n35587 87716\n28621 87855\n29281 88203\n16200 50615\n81460 93934\n27772 65257\n2565 92330\n13623 98255\n87061 95612\n33930 70698\n32801 46609\n24223 83977\n91687 94558\n17427 73233\n54348 56552\n40118 82533\n28900 62150\n72198 93935\n15177 22026\n42209 44001\n17291 91172\n4805 42408\n17525 47039\n37958 47284\n48054 98789\n13217 15914\n63320 69269\n34327 65021\n29601 54640\n62842 74613\n67910 81514\n46604 57232\n42698 65129\n25451 32126\n57739 77052\n50383 85965\n1683 51339\n67778 82949\n9795 35412\n60894 65469\n28958 51993\n21288 92207\n30726 54500\n8584 42636\n17098 83716\n43967 52258\n20555 60916\n57024 73859\n48002 83176\n52011 58657\n28427 64432\n20246 92298\n24500 98287\n17866 32947\n54890 64979\n37675 90119\n9981 95586\n37803 62228\n3503 48331\n1824 53581\n46852 64722\n23483 33166\n76109 86596\n46007 51819\n28465 91152\n60987 69358\n2010 61703\n48908 67606\n48261 79451\n22884 76235\n14453 55082\n45194 95279\n68116 94120\n25958 30178\n43851 98335\n11778 89026\n57172 60870\n70526 76353\n23009 76354\n50669 65680\n79036 96719\n18555 93516\n60469 61291\n58016 97828\n27859 62244\n9725 90892\n19588 65201\n91258 98653\n41088 73644\n10526 99778\n61690 90505\n322 67432\n14568 21210\n25240 77227\n23566 86352\n6171 57397\n15047 42541\n12041 97357\n29561 98198\n15900 85702\n26940 47203\n39145 98286\n31257 40014\n17739 40126\n43988 99401\n22459 93141\n14188 70608\n74058 90968\n20993 91566\n72172 90857\n20556 30499\n57446 83996\n25174 74460\n59006 61359\n17643 68630\n33602 46324\n10053 98853\n21118 52662\n32717 58924\n53478 79438\n80851 84837\n14071 25945\n31782 36472\n70686 92052\n15607 26780\n96242 99889\n40092 65918\n64158 91317\n42380 54716\n46226 90063\n31952 89925\n31374 81608\n4347 84948\n27647 50028\n2976 11243\n10833 15942\n17175 83115\n8790 47931\n26399 80334\n23092 97510\n18985 30365\n86197 92035\n13903 30858\n63964 69126\n10859 23771\n147 92121\n66158 82780\n57688 76919\n52369 97411\n36857 92703\n34477 59037\n29656 97784\n27674 43036\n67044 92283\n48919 96188\n41744 42881\n57544 84492\n9897 13578\n4270 80289\n33024 60154\n47775 87578\n46948 68986\n21374 35184\n66864 85150\n11023 68928\n67177 97868\n32355 67970\n10048 30979\n28544 83924\n49519 59718\n2362 93958\n25298 60731\n21496 31813\n49150 72575\n43843 81566\n36126 48263\n11436 93615\n274 31521\n462 61455\n62108 89627\n51377 98600\n36007 66030\n31716 82813\n14193 29105\n5354 35569\n42197 49554\n9367 25778\n5337 89871\n76705 90792\n51509 99354\n38424 48954\n19773 80496\n74253 75118\n10179 13415\n16843 99880\n23215 44880\n5183 7075\n33979 77238\n37011 75215\n60134 99529\n32690 73860\n5656 56457\n5427 22825\n9034 37038\n48215 59179\n73520 73770\n26666 61811\n30802 98398\n13070 62561\n26232 70394\n2175 88751\n18708 25519\n24354 75801\n7633 39083\n46073 64153\n565 50727\n13118 44938\n44194 53695\n70150 85333\n59706 79550\n50187 55601\n20035 20952\n50542 98522\n44349 84873\n38884 77136\n61350 84247\n4532 18417\n48485 58594\n38658 70618\n63450 82401\n89510 99220\n50476 71239\n35324 46121\n12385 85557\n33195 91529\n72259 92495\n30694 63115\n63975 79013\n15532 73699\n21128 74019\n19739 33212\n4316 92016\n10162 88502\n45656 49850\n64097 91329\n23517 58934\n31324 79515\n82491 94989\n1266 7536\n64923 94136\n35339 36250\n55371 77035\n23220 64873\n16137 53344\n10871 94042\n9659 19705\n19004 70512\n74617 75773\n5714 9089\n7896 82453\n7164 68308\n32874 58382\n29935 98176\n53329 74868\n47791 50129\n65329 67725\n251 58029\n33006 82567\n13617 54605\n62745 67943\n9538 64834\n27829 94042\n5639 82883\n13308 70798\n59048 71540\n64003 98842\n5004 74207\n54667 74137\n57248 91846\n4930 55705\n43004 81005\n31754 38299\n44121 46572\n56778 83688\n53962 97519\n61082 66785\n26962 55769\n24964 49789\n16500 56741\n31090 64282\n66844 88104\n12859 83361\n3967 37943\n21652 47984\n86889 96207\n6518 47526\n2774 24610\n4063 83555\n65898 92978\n16072 40220\n67229 93712\n11404 11992\n5890 62118\n34140 84069\n28554 35642\n36847 91841\n64850 96304\n54931 64036\n63116 76585\n69975 72655\n17860 76397\n40356 40989\n11683 12576\n62119 81981\n76360 97676\n60445 87980\n1374 3393\n81088 96311\n82509 88845\n1853 9380\n58233 81220\n4127 81095\n5016 64774\n19939 91111\n18040 31272\n36015 94520\n70991 94917\n41731 71073\n35620 37170\n6068 51758\n83147 84728\n42476 99632\n27230 77828\n44665 67982\n2242 38333\n50067 88174\n75246 92621\n62603 90849\n61936 92319\n10393 77135\n16736 94426\n63006 95164\n32604 70534\n45730 93354\n11813 81815\n13870 65893\n65185 65681\n11004 55384\n26775 34040\n17447 71635\n3354 83926\n49459 82337\n23520 83294\n5673 69025\n23 31359\n65739 73553\n6610 18914\n16310 46409\n33250 73196\n25863 99763\n22780 25333\n90151 95874\n359 35500\n14800 60130\n19896 44482\n11582 70431\n45764 54587\n17821 23391\n959 21687\n2389 50389\n41867 63306\n22715 24578\n94360 98164\n2992 36714\n15642 73702\n53403 83465\n47490 58265\n80665 97869\n31233 50426\n60939 74301\n54425 72340\n13051 59676\n6408 15127\n36721 37787\n47762 61581\n2289 25010\n62850 71899\n22105 89265\n90303 93260\n29012 87613\n28410 99239\n3513 36779\n39687 55238\n6996 42866\n88864 91896\n40952 72693\n13 86446\n41142 62675\n8951 16036\n30049 37956\n36897 50918\n20647 31333\n8319 20875\n10697 62996\n3606 19081\n13965 28680\n74205 95937\n49762 76091\n11997 36763\n77778 93765\n48546 66666\n25819 79691\n48630 90272\n9986 42136\n4473 98268\n13396 30765\n27102 65668\n76690 84800\n32257 56343\n8625 28588\n87871 90291\n14400 79718\n7648 91932\n37413 91675\n8265 26128\n58514 89986\n24595 43292\n45188 92342\n10279 37462\n1060 45152\n45950 69548\n18239 37920\n48788 61562\n73069 93210\n16843 60359\n38225 73478\n36386 75854\n35224 39209\n35811 54384\n20980 23359\n47423 89884\n13263 77983\n731 49741\n49962 57404\n84282 89568\n2940 55755\n50327 96865\n92065 97866\n13701 87260\n77739 78348\n58081 94877\n22209 88255\n53226 63449\n35096 52898\n68371 98123\n74250 95672\n39119 51264\n27202 28634\n33168 44279\n85889 93991\n39961 50031\n19957 47601\n16547 55493\n133 14739\n8899 86289\n46890 70456\n26114 73565\n10140 34462\n36462 70147\n66537 96028\n77995 80039\n28903 81728\n44125 69428\n45763 55001\n6162 64792\n40730 69485\n42132 62487\n46860 75972\n33708 93457\n29627 38859\n21169 23669\n14813 57348\n38642 71508\n77888 85408\n37855 68835\n2685 30037\n6223 76227\n12390 84300\n28719 40069\n4259 75386\n39770 83533\n10488 16020\n6118 60745\n1760 18877\n9968 43596\n5140 82717\n53545 68735\n61325 81422\n43311 60100\n23736 98997\n8903 43779\n33576 97906\n58378 60121\n15481 56717\n38566 93106\n41972 58746\n15245 70567\n94771 99729\n28428 99262\n20044 96495\n31749 55511\n58444 87192\n45086 62331\n67523 80860\n50666 98132\n79364 86941\n5778 14525\n51644 71643\n84700 96390\n75916 92134\n43005 82013\n71566 86014\n50726 55192\n13187 24499\n35886 61532\n9750 73615\n6916 9175\n14913 35784\n26347 44310\n13656 93068\n25508 91198\n86403 88613\n17083 48309\n56751 97198\n15106 19682\n39510 98083\n2102 46855\n86850 99365\n6972 15038\n79730 89959\n30611 72169\n61626 63726\n3004 84246\n56557 69811\n17385 66614\n49521 90082\n31512 45787\n69182 70569\n23183 89930\n16000 97130\n47524 77908\n65426 66807\n21515 99438\n19413 99528\n14299 39286\n9389 22118\n63787 71620\n787 3018\n30220 32150\n10786 31455\n13668 87986\n73193 94766\n39636 90122\n7589 89869\n38329 76463\n13046 95805\n59486 73301\n37944 70599\n72228 85411\n15566 32394\n29562 56788\n32065 72078\n3456 89261\n18320 69788\n33298 43725\n17764 39299\n43351 95099\n36399 62593\n22394 34086\n31485 72696\n33341 82545\n46557 86770\n80114 86178\n59103 75149\n23852 59680\n18125 81247\n19000 86513\n1328 36254\n59306 84985\n48959 59489\n25835 47486\n54945 55109\n45190 64277\n4643 51806\n25188 89082\n1345 67990\n40010 50940\n6473 93218\n12792 83772\n57789 94579\n50219 76046\n53 16778\n7335 63344\n47585 96944\n43325 87769\n1643 80652\n3791 74150\n18590 97608\n28873 96553\n31229 56077\n62512 82218\n18399 76463\n20840 68776\n48124 99360\n20173 29102\n89967 91746\n88031 98788\n57393 64311\n26778 55440\n11885 22847\n24783 43448\n30546 61728\n86080 87888\n69751 92279\n85587 97034\n43380 94518\n19611 73040\n15548 35125\n45889 83147\n8570 75583\n31648 69566\n89579 93210\n68029 79656\n42966 49285\n14884 38689\n6232 19086\n34019 87591\n32968 81439\n8887 71620\n33734 78289\n46696 62023\n19996 74493\n32429 65841\n74776 87523\n45223 66273\n43818 93610\n71825 89434\n45881 74620\n6830 77088\n37299 67709\n52198 52692\n14084 29997\n7958 94056\n17025 81876\n82119 87582\n31471 36235\n63919 84556\n3966 33737\n5855 56920\n35565 97804\n45960 86232\n77226 88178\n35910 76112\n44081 76519\n10039 62018\n24974 27688\n9887 84831\n6926 7437\n68489 83072\n23444 26121\n10365 87941\n31454 80500\n53795 66533\n76422 97239\n17141 68660\n4805 6205\n39102 78747\n63845 89696\n54908 75884\n11791 82349\n58528 94511\n27472 62063\n3163 37536\n799 92856\n60688 74063\n68591 91747\n27316 93846\n9087 26769\n23972 67757\n28853 54169\n1641 85134\n862 45802\n20271 36943\n17756 85239\n54089 83006\n45806 90384\n34802 61192\n27706 46605\n60659 98611\n5622 9002\n66061 71559\n36818 68316\n32716 86424\n62329 68169\n6098 74794\n69285 81983\n54926 92119\n96273 98011\n6014 66488\n69033 73725\n80522 87233\n20343 63379\n73594 78738\n16420 22808\n21410 97976\n12674 61601\n30116 45880\n62329 64939\n31025 90449\n58275 88902\n30887 69541\n57036 78429\n43058 82495\n84242 92472\n8075 52045\n19455 25240\n92391 94065\n41227 52448\n47134 96573\n8494 63635\n37456 88093\n51382 64068\n3901 26342\n60227 84289\n68120 77871\n37976 69110\n16016 27392\n44768 74091\n8307 86051\n31685 39370\n67354 78445\n15743 96437\n6827 26967\n41159 51040\n81444 81938\n28143 42327\n19430 31163\n77243 91341\n21735 57306\n8801 96080\n22850 87557\n61334 83036\n23305 78408\n24915 30317\n34936 54764\n16950 77139\n68489 83064\n8352 9359\n5446 8892\n20513 81575\n52881 88532\n79665 79860\n8895 21477\n25075 89740\n79481 89465\n7837 87751\n16091 60662\n63048 98306\n14185 79654\n499 59893\n651 32373\n75986 87354\n15521 91299\n17832 84170\n23014 29356\n1475 25841\n20158 85081\n81815 98245\n15272 29967\n20117 48278\n12562 92528\n15115 61512\n79102 97607\n37551 96526\n17108 37357\n44057 68140\n26432 84231\n15186 75139\n2769 20299\n14457 57782\n5259 68038\n64242 66290\n2698 58897\n12238 24293\n60995 64647\n41193 75932\n88989 97520\n67849 93075\n45029 90245\n51377 83727\n53022 89136\n19133 52297\n58237 62135\n17910 99914\n51355 89445\n36170 71836\n67586 70260\n87592 89081\n56316 67898\n58198 97710\n9780 73083\n12915 47818\n63960 80194\n64272 88990\n55704 60404\n19806 44625\n20338 58545\n29730 93347\n40702 54894\n2540 82762\n27026 29050\n7744 13190\n23846 31695\n14382 79730\n18987 99271\n13299 28242\n8746 71732\n8552 31914\n13319 57475\n37297 82531\n2358 30125\n44823 83472\n21623 40699\n10969 68494\n41280 81803\n25625 45802\n83999 84711\n59047 94472\n65464 85223\n4645 78958\n11746 60193\n15284 45762\n12502 35589\n46308 72090\n78858 88373\n52099 78108\n82681 97458\n43429 54376\n25599 35395\n3662 25295\n2075 80783\n5000 25908\n3328 93273\n85342 96336\n9401 52465\n17534 90769\n9274 96548\n1081 20951\n65159 85389\n79642 81323\n20584 37524\n81016 97412\n58719 92979\n62569 94294\n60998 82365\n39673 68735\n75763 85445\n45016 75938\n13423 24057\n34367 82361\n35145 91198\n76598 79309\n56259 82149\n24283 68315\n30152 87065\n47851 60233\n13892 18292\n27410 29947\n55764 63092\n65977 76327\n59332 71330\n37505 51117\n25849 78584\n21531 56420\n44686 67277\n11628 56766\n14501 41649\n38940 88331\n22410 64679\n11555 46934\n78556 86953\n36579 50280\n25466 60623\n9761 79887\n15201 61693\n92664 96309\n9624 19804\n1523 13665\n82218 99036\n22853 46254\n18901 87340\n15136 71175\n27115 40531\n6075 72634\n25419 37262\n53192 80281\n16434 91007\n14514 65759\n8933 92326\n28789 49257\n3414 68618\n30535 59225\n9963 83261\n19486 79898\n3929 15341\n4912 36411\n55078 88927\n78939 82178\n13001 13776\n23132 98108\n23711 40174\n26938 90666\n970 60235\n7719 21590\n35665 44657\n66186 85104\n13910 68299\n14538 41322\n56020 82827\n58115 99886\n35173 40533\n20126 89633\n68712 98561\n12124 42410\n3203 78029\n10803 47766\n10528 70993\n1213 95190\n93863 96325\n52569 57863\n1771 26360\n39033 47063\n53697 90771\n14252 79262\n4947 28956\n45089 53344\n28642 52060\n40004 93388\n37302 79851\n2675 93022\n39380 83047\n52656 71077\n72118 99389\n47027 69401\n63328 70595\n39560 41123\n41121 61693\n8193 77403\n10059 53841\n64420 71463\n15370 91570\n8013 55295\n1565 46135\n52288 85236\n37182 95224\n8795 68072\n9798 75315\n60693 88767\n12480 35653\n67627 81979\n23285 28777\n46590 50803\n30425 47694\n49762 86392\n18014 55087\n46281 99564\n7235 83800\n54535 68849\n32688 62006\n269 50089\n42238 78068\n29542 31696\n12154 29684\n1013 96997\n37479 97766\n7115 24562\n15140 53499\n69379 83974\n74543 74561\n7684 93158\n34083 50051\n31370 51790\n26187 78156\n22430 30912\n29459 44037\n22615 51935\n35099 66835\n39861 52304\n9 31575\n9170 33528\n81219 85724\n20803 28242\n9781 37707\n34606 46195\n34966 58720\n35225 39167\n70676 78939\n18764 37651\n58708 74825\n2703 32041\n58304 98212\n35406 68572\n9176 90056\n22266 28900\n15831 77157\n85 24404\n66594 76723\n9543 53005\n72872 79459\n26810 55958\n73983 84484\n11065 99879\n42018 62124\n9159 18530\n30320 99266\n51454 53183\n3252 22986\n57898 86847\n13222 65000\n57058 72172\n53465 96354\n70481 75383\n11261 53082\n54182 85236\n4384 6249\n12828 48289\n81733 95818\n59415 73841\n36927 58062\n47361 96484\n47139 66562\n22024 89979\n62226 79956\n13461 62802\n24975 78927\n51290 91913\n2933 45448\n50526 61212\n44500 83613\n21880 48490\n663 87536\n10694 83063\n10421 98039\n32857 54279\n6854 17980\n3311 36062\n4842 91852\n3480 84751\n21573 65377\n83238 95105\n53486 96273\n30816 51229\n68128 91766\n28703 65961\n7503 68257\n29082 77674\n57744 98351\n45025 97019\n56960 85259\n3216 93572\n50505 70662\n28904 95278\n48547 60364\n45659 70822\n66641 73826\n17054 77666\n60844 67172\n52584 52972\n63535 66946\n58395 66759\n10954 21479\n73087 86468\n17244 89419\n38314 81153\n76875 99757\n31339 86793\n75040 91056\n8797 85176\n52154 92738\n63314 77994\n81763 93913\n26682 83471\n17760 21350\n16726 31598\n39751 77404\n64820 74064\n15391 39860\n9010 51598\n23731 26609\n14080 95201\n57013 59668\n34936 74943\n3283 5281\n13658 96321\n46723 83030\n19105 85712\n1836 31076\n12996 91464\n50307 76224\n15033 18485\n31730 46336\n57439 94168\n27601 38163\n33237 69415\n19064 53072\n33687 56522\n10247 67888\n30872 53488\n47015 70729\n19874 37300\n40819 65006\n89046 95725\n41420 62332\n34440 76900\n32230 82445\n18993 37050\n21650 91568\n24568 96836\n4962 53246\n44520 65330\n45170 63218\n89943 90291\n2659 60681\n34558 98207\n73309 90384\n28133 98182\n38026 61763\n20227 77886\n15775 42253\n15713 21350\n6410 52177\n40257 63597\n24431 37879\n16670 33689\n36312 63548\n25493 30245\n1394 49558\n27545 45126\n22745 97631\n6164 23226\n37887 70451\n25061 49298\n29240 71020\n51475 82083\n15660 87719\n15543 87292\n55020 67714\n10337 45499\n17241 88503\n16498 75614\n42027 44377\n74637 94991\n34429 73159\n24441 85900\n40861 75660\n34404 78561\n24358 43551\n75152 75448\n60964 80776\n13434 17949\n26121 83627\n27585 40371\n6598 67278\n45951 47149\n4679 8386\n18060 40930\n33680 75096\n61745 77140\n47523 49553\n1632 55557\n96300 97142\n17538 23826\n22759 51502\n15312 94538\n26321 38274\n24314 27276\n36652 63525\n7136 25899\n26186 69683\n88555 99711\n65501 79841\n85280 92728\n22029 64962\n16990 46531\n14563 77982\n48317 50780\n29760 85514\n472 45564\n10331 87154\n44431 52981\n10188 31363\n42888 98853\n25623 29192\n51743 88753\n53120 85990\n10930 62824\n39437 77952\n29237 88487\n14161 27936\n2930 45020\n54636 55395\n64432 68058\n54178 82450\n13651 43720\n54104 69154\n27413 29030\n64853 85632\n12089 92142\n32070 68513\n33864 60392\n56016 59972\n43584 83028\n61937 69902\n75600 88503\n47812 57685\n6329 59973\n73943 88482\n16426 37080\n53403 84592\n24271 42201\n54730 66932\n14542 43282\n26842 31164\n31885 88183\n62137 65826\n29064 46335\n41579 86776\n26624 53792\n27104 74353\n5371 41951\n81878 83353\n41032 48312\n43598 72669\n27291 72745\n5203 95316\n70072 85747\n60847 82511\n51924 98879\n65825 68355\n13869 45825\n74099 86043\n26078 32661\n11893 52466\n292 94418\n42576 80108\n23303 67016\n4469 40242\n12574 34969\n9034 94591\n30292 58086\n70716 82322\n56862 97603\n10704 12456\n68968 70855\n30214 32188\n36693 37892\n38120 43572\n19856 90306\n19610 44556\n20525 32290\n28361 95256\n17554 95663\n17375 24808\n6974 84231\n33792 40152\n30817 96780\n53886 94457\n77704 82292\n1112 77705\n88419 95399\n34362 40159\n84392 88120\n3998 61066\n74085 88742\n19055 51140\n43253 94199\n25988 33138\n81181 90940\n68301 80448\n42176 47997\n31736 49415\n77396 99824\n2862 90964\n49573 91322\n59688 73774\n33255 83392\n25640 96618\n37029 90305\n9219 15960\n54816 64039\n24872 58248\n5902 67949\n14895 47724\n59918 90176\n35253 49417\n38180 56517\n41512 62354\n8592 31818\n36528 75133\n49931 69347\n7320 49754\n53087 71446\n8739 19222\n34406 85654\n6357 60759\n24861 57066\n91149 98525\n18541 56750\n51989 88304\n55851 75883\n36575 45588\n37487 65986\n3079 63046\n24221 78179\n47240 92537\n16964 24849\n13300 81871\n16586 65236\n1354 90831\n36310 64689\n20084 54416\n6324 57197\n31580 85344\n25667 46055\n19199 25082\n57247 96503\n4018 37495\n72889 99117\n37229 94693\n58219 90058\n43460 72138\n1685 72516\n1046 98043\n48520 92696\n777 51263\n31093 91283\n28115 54815\n4853 87453\n2715 38691\n7745 33024\n18137 59408\n74199 87491\n29611 69285\n21681 71215\n12945 86048\n52848 94565\n65136 69937\n5369 70259\n17978 62371\n48558 81732\n61763 76009\n32415 86026\n44192 83746\n69228 86316\n42496 98259\n33865 42404\n29029 58706\n12552 56422\n19298 93559\n1492 44930\n31350 31557\n9225 90720\n50039 78434\n39223 76574\n31308 93768\n17382 91081\n30250 76550\n63362 77647\n12765 70603\n55543 86002\n62810 69941\n7419 28945\n7240 70612\n14368 77634\n32993 36490\n38133 93680\n63291 88620\n40831 92068\n85925 86994\n23477 67720\n16563 72476\n29722 96732\n55735 88248\n21183 77030\n77835 83126\n8399 40022\n47895 76506\n25433 93095\n49868 59252\n6265 21456\n63691 68178\n44330 57883\n82543 96396\n18091 55101\n92521 99268\n41738 75749\n42716 85386\n183 76859\n57483 65643\n2411 88984\n16905 27052\n2239 45578\n25351 73879\n92844 98513\n19162 85702\n2457 26731\n50467 59243\n59820 88787\n26322 54325\n58312 95136\n2561 66120\n16827 84537\n5722 40349\n20335 28788\n48254 86097\n78261 78457\n60202 66455\n91220 97985\n56093 71347\n6004 55301\n26235 48608\n14657 98860\n62286 99662\n79433 97844\n63406 96799\n37923 45049\n33350 93622\n7233 36173\n80015 93753\n74402 77194\n29511 68992\n22735 90339\n21318 94685\n17265 92753\n73970 78162\n11838 44657\n75676 99177\n6950 35911\n70508 91209\n63023 92575\n67970 96691\n14136 54997\n25252 66122\n7008 12257\n9606 21088\n24847 88414\n20334 76363\n18934 68259\n63227 74035\n9345 11157\n37990 56446\n2678 14759\n13591 57067\n78620 98938\n70954 85238\n71497 89257\n26608 46537\n2979 20344\n68266 72212\n75502 82963\n73794 87723\n36397 83848\n35588 74906\n69304 91889\n70538 85064\n55534 96252\n22769 32065\n38388 63399\n68532 81197\n13738 54141\n39123 67021\n19444 61914\n93100 96359\n33355 43764\n27971 72823\n35010 82344\n32096 88547\n4689 15417\n25936 38368\n32895 62905\n31579 60524\n20469 60743\n4266 75843\n45126 96737\n13875 66883\n8838 31461\n19149 59566\n88482 98581\n19103 27008\n76003 98972\n62623 74610\n58790 61051\n37584 87887\n72218 87324\n72354 98473\n43644 98022\n6129 80762\n3355 4764\n3773 6549\n94677 99390\n47857 55504\n23664 81947\n35187 77766\n56781 70730\n6061 32532\n3675 12184\n2133 46329\n52327 57882\n21810 52705\n32548 40021\n37753 57541\n46676 49573\n13543 31277\n48321 70343\n13981 44260\n4660 20833\n64395 69685\n27681 54285\n10052 20495\n28722 74100\n33723 65116\n40741 45066\n2393 67234\n910 99087\n23050 58090\n9789 53045\n63708 91780\n22224 34766\n5752 21228\n6869 92240\n3303 5505\n56680 99579\n1668 94256\n42477 96214\n54318 69614\n5329 86277\n194 74927\n4729 12962\n19225 43837\n13866 54449\n82226 97787\n62958 86105\n16052 20242\n20822 95990\n56632 91008\n79215 95787\n3385 20948\n13197 88790\n7540 26290\n78902 98169\n60537 74662\n44197 45544\n11918 13849\n18139 56946\n78366 86621\n49185 63473\n2020 41805\n13022 81327\n5582 56690\n70053 97298\n58919 75202\n13377 35871\n20654 33486\n53146 91811\n1158 21961\n71982 74944\n3205 17615\n10070 82501\n31823 43828\n28683 43186\n26668 54194\n10207 16956\n15606 47212\n63494 91276\n24616 58334\n63803 82004\n12630 25302\n5631 40109\n29326 72713\n12762 33993\n51321 60657\n62371 79000\n70566 80680\n4139 10081\n26292 46049\n44644 49623\n17184 75693\n39274 45868\n11966 22789\n62564 73839\n6287 99287\n15867 92277\n999 80099\n45364 97841\n54852 97119\n6844 39209\n40096 95764\n26745 65089\n14382 88317\n39712 44392\n11759 80859\n3347 53507\n64671 94448\n22734 49330\n31333 69754\n95284 97319\n6622 87671\n8576 91750\n17345 79585\n48882 96306\n48819 67970\n37019 94706\n39899 98388\n25057 25153\n49246 72429\n39534 93295\n10218 54403\n19348 81328\n37885 86550\n70685 84050\n19552 70696\n13591 77513\n51115 63175\n47395 80696\n4258 69885\n13528 26255\n8282 73461\n4783 69157\n7065 32397\n37605 92732\n12888 98903\n9909 16273\n17794 57577\n8893 37137\n58384 82997\n18013 96106\n11392 86927\n1776 12951\n23439 80817\n65762 66112\n18866 20132\n71676 95188\n62843 95283\n78539 83451\n4679 65884\n22505 28330\n10701 55710\n1704 36884\n21962 71863\n18693 31936\n48701 60230\n54374 98893\n61915 95164\n23775 50558\n1012 90780\n8369 33031\n44501 88001\n21585 78421\n64630 82644\n31663 72993\n39935 86121\n73689 75760\n3151 57354\n16632 72454\n46008 97468\n81092 91769\n15277 58958\n46497 88123\n19079 75086\n27436 87240\n56788 67709\n11345 57261\n8 83908\n14040 63690\n60836 98180\n9512 81918\n53145 74813\n32806 86680\n9925 87694\n15161 36858\n3348 57774\n66066 80390\n2919 25494\n91119 92142\n55044 55266\n14091 56204\n19243 98246\n20277 56459\n56443 60527\n19117 32642\n80127 87736\n14915 66652\n40380 70127\n73418 92682\n68550 97455\n57498 78943\n7504 41623\n79551 80956\n87054 99614\n55984 71308\n30783 98265\n88137 92512\n52071 80074\n46125 47040\n52557 60799\n9562 20377\n27775 44626\n9034 62823\n7751 24648\n59839 62770\n82154 87759\n47979 78010\n40233 60692\n4185 72383\n1116 23890\n73515 78453\n47651 86344\n47882 73200\n44896 85425\n6096 83350\n47731 83693\n26026 73349\n13433 57937\n26386 36681\n25688 41356\n50748 60189\n19313 71689\n33783 95123\n94835 98313\n27245 34624\n59354 95748\n47271 81208\n21577 73201\n57194 57845\n462 96725\n63320 71251\n9691 20134\n41216 75491\n49494 70623\n27346 45173\n84033 94869\n9223 89262\n27460 42578\n20411 71818\n45944 66391\n61483 95034\n20001 94902\n86277 92901\n54245 77878\n46422 54017\n44874 46403\n33562 92183\n37491 94190\n22887 41524\n4878 20497\n18748 40478\n8362 26015\n30449 92713\n28343 50282\n44271 51339\n53628 64006\n84153 97593\n55271 89587\n35073 86058\n60677 76462\n17997 27572\n21715 34775\n13350 59236\n36255 93379\n32849 33206\n21908 28339\n15399 81228\n1562 11909\n13239 86226\n5344 56781\n42457 54663\n15530 23757\n38561 42820\n47145 94474\n87097 94577\n6877 59799\n35207 41071\n78658 84338\n17391 99472\n18914 42189\n31171 71916\n12914 25987\n54748 66174\n77130 87529\n36635 44919\n15894 99435\n12899 45446\n1930 41128\n2377 66085\n72806 96874\n14182 67612\n60780 97441\n43076 91988\n54756 60712\n74250 86890\n810 75477\n10303 58579\n20470 54203\n26397 36930\n33199 78485\n17760 40138\n69923 82410\n10455 82479\n455 92804\n10415 30456\n22935 57831\n1994 81984\n8973 53686\n68044 81861\n54838 93157\n24935 47205\n26427 88051\n4882 87108\n18283 67582\n44338 86868\n25290 68646\n29139 91822\n3530 14736\n22153 28511\n2832 25036\n77333 82181\n26097 53187\n26594 54168\n57371 85911\n8417 24932\n14553 22137\n29650 88674\n33246 33455\n17498 97075\n29216 36663\n11040 52940\n24639 43565\n32482 34235\n32806 89786\n15764 96893\n6655 18081\n30407 68566\n7255 16445\n47128 62926\n35878 47428\n37816 48982\n54418 91231\n4261 66117\n8529 65425\n5469 96547\n90524 98356\n27775 40460\n53481 58639\n49980 95099\n34257 56660\n31005 93934\n13771 97196\n22156 65083\n5181 96666\n38637 59032\n60253 69625\n45156 63822\n69650 78198\n8756 77447\n27865 86062\n50432 66483\n41013 57668\n23341 36013\n37989 82139\n58826 73539\n56621 83270\n19471 46955\n7215 63518\n31079 54671\n21280 35902\n30509 92922\n72961 85176\n38551 93512\n26970 48781\n24100 46158\n25829 78765\n70153 70588\n37925 44906\n35183 43066\n57903 78369\n17744 83648\n7415 62512\n9433 20828\n22768 88917\n14666 71095\n24203 24473\n18595 90028\n25100 72838\n66222 85048\n15333 64909\n32790 87829\n70712 71499\n37862 90295\n11592 95735\n46159 47209\n29344 49999\n16916 24588\n16529 75442\n31617 77778\n64143 92511\n9455 49043\n32366 48002\n42706 66202\n18001 56046\n43279 65159\n2494 48329\n21992 22789\n34581 83961\n46372 72360\n32002 83266\n43269 45947\n15465 42469\n47707 61509\n49829 65673\n18084 18676\n47974 77617\n17204 61976\n80692 81653\n12855 99852\n57385 93254\n16259 33840\n91219 99202\n41029 77982\n18206 24689\n76430 90856\n44087 95076\n21471 94475\n53422 88158\n44480 53883\n33018 33375\n12447 58203\n64355 69358\n22339 42813\n88650 89061\n84410 87668\n5509 79245\n29403 97028\n34931 65361\n66249 90445\n9981 55962\n52659 75767\n21441 96027\n1930 70592\n34601 63887\n16332 83460\n2164 61608\n11590 64735\n32124 65322\n37106 45219\n58157 83748\n32839 80351\n69728 77655\n12322 28676\n27117 45265\n20558 64610\n14611 97742\n66456 70408\n71583 94748\n39079 88540\n66026 96482\n40687 60599\n8471 57538\n58318 73120\n7727 30131\n52575 59478\n21894 55403\n67692 81973\n23151 92828\n85112 91225\n19905 30364\n45742 95662\n563 16478\n35411 92008\n50501 98893\n44003 81674\n16923 48314\n29015 83540\n34022 36631\n68638 93492\n34882 43326\n48385 67768\n2923 41628\n20352 58977\n3954 34004\n50410 93621\n55870 93569\n94488 96504\n13328 65869\n5668 66981\n15210 25429\n25889 46494\n12116 73633\n30387 33660\n56828 85774\n12212 31476\n18546 35554\n24412 34880\n11400 44729\n59033 67149\n14005 50330\n48971 72543\n78945 93665\n6328 46363\n31803 38520\n16969 76921\n30205 90236\n43240 93891\n2611 61839\n50397 80925\n7609 92476\n48919 59639\n6598 90085\n27466 64154\n52133 85040\n24813 87094\n88853 95152\n225 32752\n437 40704\n9188 57548\n15461 23968\n54244 61390\n27596 33818\n36538 58236\n16266 35333\n14449 37980\n83561 96456\n76709 99195\n6144 54348\n59703 83691\n30429 70206\n14621 17580\n36882 66429\n5903 7110\n5915 60973\n80370 83907\n78362 95774\n14937 71234\n2164 73951\n26760 33093\n25452 97336\n82595 91863\n59538 63162\n14622 41143\n29848 83980\n37762 58928\n60884 68565\n28541 50479\n47502 49856\n9259 70890\n45031 67140\n21559 36162\n65415 76254\n37639 87053\n28949 96257\n22 50273\n11006 33250\n19477 54546\n54725 70022\n63389 75245\n60232 91131\n17393 63966\n30519 52542\n57309 73606\n18865 89243\n34488 80158\n26905 67273\n54699 85096\n41793 88945\n85664 88459\n16033 57840\n93110 99608\n60959 93961\n691 26229\n11346 87209\n22973 68451\n4596 60801\n48955 59933\n41426 87054\n1030 1257\n40931 69095\n10661 74207\n5274 7233\n10200 28578\n4297 20210\n11756 92269\n7719 72323\n30881 66079\n64604 66070\n28276 52360\n15012 72749\n74404 88613\n17664 47891\n8058 9985\n32382 69843\n54490 68378\n55597 63494\n64924 65763\n44319 51425\n36455 53659\n52890 69561\n97751 98711\n68713 81278\n39806 86971\n43410 91425\n30057 68247\n2615 28531\n25158 33565\n37694 80202\n56435 74425\n8124 23724\n9837 10048\n25488 70264\n63489 69614\n25316 62188\n12268 16065\n49714 77729\n81064 88505\n11388 33078\n24546 74713\n34336 73064\n36715 65117\n11843 28045\n76508 95493\n3722 14516\n54750 77154\n14964 53268\n1688 95318\n38376 68633\n36051 84495\n71679 81826\n5680 6455\n17767 86458\n55572 69803\n64518 73640\n43383 92262\n7890 46738\n69181 70236\n32880 40769\n33859 61366\n17447 85999\n21212 68078\n72207 75674\n21054 31053\n13718 70946\n31492 37305\n1493 41061\n45820 94113\n15970 43658\n45285 82840\n33446 63544\n66456 90048\n56354 76473\n55749 97996\n40620 82170\n27193 59533\n58774 66507\n36042 82359\n84767 85727\n14487 36343\n10421 84720\n45265 89674\n36919 72805\n29140 55290\n19747 34811\n5337 69479\n40259 91968\n80845 88500\n2236 19448\n10810 18741\n39244 54609\n1873 67402\n11928 13486\n30122 82615\n23118 73084\n25732 92210\n40636 51090\n69226 78238\n78055 96133\n21247 21692\n20853 43531\n6682 29719\n70129 73271\n10559 79885\n1183 90347\n9150 60969\n20590 74615\n57227 91809\n3835 97995\n54440 63906\n12590 87212\n8455 77136\n53111 87163\n10964 39277\n10395 49337\n47559 56013\n54769 93886\n6875 49946\n50971 86473\n8998 70035\n20132 53159\n12513 67776\n79451 88637\n22494 97001\n45612 73782\n50199 88747\n15848 81226\n50989 94194\n3376 86962\n4230 76384\n30919 34635\n63925 87640\n19037 89867\n2983 63791\n23296 32579\n14303 35817\n697 36244\n17691 43828\n16859 94217\n19968 56411\n24238 49016\n2527 96440\n6904 72907\n14833 78744\n80787 88968\n25585 92964\n53282 56652\n27224 91759\n22788 97459\n30279 51813\n28880 71410\n16765 98328\n46841 47432\n910 11956\n33852 65901\n18407 24292\n30903 77630\n16962 27684\n20983 31717\n45297 67750\n59964 87266\n26120 36009\n41082 69562\n4685 27455\n16681 86532\n44448 96353\n49967 78184\n73021 88464\n33223 81158\n46485 89158\n9364 58104\n36476 37606\n44833 48360\n7797 85708\n37744 72992\n23158 75890\n14834 72727\n4334 73346\n64097 93340\n72372 92083\n36119 79306\n38938 86259\n8373 73057\n29416 69579\n50155 85635\n71110 78657\n57405 83259\n52029 93836\n73368 88093\n69048 95329\n67964 83451\n1060 44416\n26322 96811\n53611 72853\n9302 85690\n46712 63882\n31519 33773\n25810 67946\n45690 87128\n44362 82647\n10614 72600\n15083 63337\n55032 67291\n12708 14622\n28170 42188\n58042 75976\n11330 45017\n25693 73079\n28940 75199\n14 97463\n16065 74654\n85810 99390\n37188 85560\n42450 78678\n21515 71912\n42541 49004\n10041 80036\n64863 97278\n74855 87699\n3428 97030\n84254 97350\n44900 56230\n48247 79111\n46021 87112\n43528 89884\n64004 66424\n37465 41266\n1550 40034\n1222 32055\n16032 94886\n50838 76037\n60194 66059\n68685 86159\n43368 63413\n2310 38997\n57432 93972\n57789 92179\n46388 82397\n27879 62981\n987 11051\n13040 35273\n31525 71960\n31361 71953\n42066 69554\n42705 70427\n15285 42098\n66342 66570\n42033 66617\n29764 61001\n42358 49914\n38263 86415\n45697 65397\n76062 76418\n20500 48295\n15700 21999\n2303 17249\n37106 74584\n20748 72673\n20556 29692\n9513 43058\n36175 42842\n23453 26695\n88203 96019\n49309 53872\n24699 77011\n43486 44878\n58457 90907\n1353 14621\n6602 24514\n69608 89074\n28143 33199\n22752 56771\n27102 37603\n73092 76827\n45393 84813\n11082 59741\n9664 63593\n11222 74569\n26559 44901\n42177 81377\n26329 93181\n72177 95094\n14507 29593\n14223 39170\n38984 68386\n2630 38940\n17054 78794\n2444 78907\n28403 57689\n10687 80185\n43341 55329\n858 83097\n36388 52147\n84477 90983\n32920 54514\n23375 42161\n93686 99632\n48244 71544\n32224 60278\n26820 54328\n46079 86654\n26640 95676\n10641 67208\n71761 91845\n2908 15994\n36697 62582\n53969 64282\n23263 46650\n44717 92330\n64116 86932\n29309 70045\n809 7192\n27239 27956\n12224 46468\n81009 97818\n38448 86575\n75713 87172\n5758 51699\n62937 71162\n43133 67766\n17408 26099\n35653 95690\n13917 67933\n56870 99265\n7032 69134\n76715 79136\n4450 59544\n59203 59557\n18282 58292\n2704 52154\n6801 72496\n18865 33986\n45718 56722\n17592 29998\n26081 63523\n8347 72052\n5643 8248\n56060 93339\n25045 78115\n12165 87191\n52530 76859\n14526 42635\n62479 78973\n78866 88655\n46832 90039\n32391 79566\n40518 88719\n9849 92564\n37890 82934\n72397 97635\n71870 96650\n48878 66603\n1809 22937\n2380 29585\n23213 46779\n67743 81838\n6606 10633\n5753 55561\n88919 92889\n20659 51228\n59392 66546\n17759 33014\n4904 27138\n470 37603\n81669 95029\n32007 63179\n27691 31103\n53666 67106\n17472 88642\n53230 56698\n30754 53087\n73649 81824\n73564 94007\n9880 51311\n18257 35070\n42103 74058\n639 85937\n2987 14415\n78720 95189\n43946 74041\n1025 17947\n8668 62143\n13953 88710\n50848 82163\n13177 48471\n3868 9442\n51882 74722\n12509 55644\n60902 86390\n9392 38563\n85477 97521\n74642 76860\n41137 42980\n49951 92817\n20631 64828\n22023 91103\n95121 95903\n69934 86227\n52816 99020\n69064 86064\n3000 25269\n34989 73349\n27891 40341\n47076 96058\n37241 57631\n2104 66734\n18556 28368\n31487 39417\n2478 12728\n74015 92408\n36510 91400\n859 56369\n55479 65344\n35461 40347\n45955 72284\n67699 70422\n14653 38288\n1450 94927\n692 70777\n43505 99162\n67966 68325\n48354 83033\n11467 38047\n23336 77569\n5489 54625\n47306 78167\n17642 23493\n30354 73258\n11105 77472\n56218 57137\n50256 77708\n4690 58165\n62609 94896\n58971 78620\n66762 92172\n61632 75175\n36081 44387\n15609 46120\n79518 83580\n43331 95968\n22873 90188\n32921 91344\n81192 82153\n78792 97910\n86683 95331\n5007 51999\n28903 83254\n8986 18971\n39279 55783\n30510 86535\n91240 94697\n24952 43625\n29623 76879\n19408 63946\n5851 82661\n70659 70837\n22501 41219\n11498 43800\n20375 99104\n59053 82521\n15369 38492\n46416 94427\n4403 83616\n30666 76024\n15106 96751\n47024 56138\n4954 67221\n52706 90137\n38338 95047\n13284 87352\n41621 69103\n14341 33946\n6540 6937\n9448 75614\n2567 91515\n2639 98317\n42112 70149\n57429 71510\n58918 66655\n45392 79728\n14287 65252\n37352 99286\n2223 58995\n1180 64677\n75224 77534\n23595 45147\n6826 12548\n20961 68592\n18316 49855\n16432 49079\n56842 77757\n15866 63709\n64169 91344\n10103 11901\n67717 87861\n44940 75606\n3918 65459\n7389 27979\n35851 64070\n21340 37296\n73579 93913\n32592 57463\n34532 57984\n55649 96031\n9688 82216\n57339 61403\n55256 62941\n7450 22120\n69100 87589\n45912 91709\n7611 33078\n77127 95803\n55555 81194\n23091 51667\n18356 44651\n41848 59947\n3481 50412\n61597 97033\n80224 89600\n10648 17960\n520 6375\n47073 72727\n17159 73077\n16107 62759\n4374 79397\n18295 90689\n48345 73994\n20724 82096\n68187 73714\n8439 75906\n1314 91786\n65927 93433\n28556 61496\n27791 64797\n96170 96181\n87968 92730\n51509 83240\n18755 95816\n12656 23625\n64402 80157\n13222 79740\n8698 46431\n11388 12139\n12270 81460\n30304 93925\n35181 85300\n340 56214\n78846 91288\n41556 72405\n5303 86239\n16236 71488\n1640 53406\n18814 91722\n25272 69582\n31038 96494\n64032 99762\n1921 8295\n5571 81642\n6150 64632\n31377 61269\n77964 81960\n10957 94224\n7601 12984\n27414 36472\n44928 52875\n4966 67685\n58293 63445\n38774 77653\n4065 49546\n10862 49420\n60597 72735\n23564 37146\n21455 65780\n40394 99109\n32431 85497\n33149 82093\n63844 77132\n39211 82463\n56823 85998\n34290 98946\n2847 24476\n21656 76321\n35817 91999\n76829 78735\n49155 75700\n3918 4639\n21612 67553\n33618 88986\n12893 72369\n38575 90614\n17186 83072\n29113 82279\n22979 99715\n13118 37980\n6424 60249\n9637 26648\n62519 90276\n63506 78458\n32617 37708\n43420 54571\n35690 98492\n68418 71468\n3533 45776\n23957 38367\n80427 91226\n15807 25072\n63003 83177\n40472 48280\n72213 75975\n22059 51911\n71376 87127\n20078 43390\n15962 88281\n26440 41293\n8445 73914\n8939 39147\n31732 72866\n23547 63355\n44995 64265\n33147 70049\n44254 86217\n70445 88278\n35696 45565\n36535 97624\n15610 70662\n37203 48628\n31598 86326\n34394 82945\n73993 82130\n173 97100\n13920 45114\n31324 33063\n91490 95942\n35164 55066\n62353 92118\n5451 68166\n4813 48286\n39435 90167\n41883 50658\n31979 70824\n7455 40835\n16293 95413\n35926 55530\n80904 83233\n7561 74188\n37282 91667\n5450 63383\n38721 59823\n16878 44520\n72958 82862\n37634 92141\n34847 55354\n92144 97613\n12041 59774\n11234 47900\n44078 61677\n26923 91615\n37539 44291\n13302 67718\n53938 57253\n50237 60626\n71741 92018\n3653 20137\n25653 48602\n27722 31815\n23531 62934\n10913 76806\n7488 54690\n56559 88655\n53432 56474\n16089 28044\n6819 86248\n51086 83775\n48752 74257\n7427 26294\n48945 79037\n28415 83586\n38668 42329\n12455 58970\n24468 45639\n49425 58830\n42908 47535\n11508 65125\n9148 56496\n59027 61696\n4664 7458\n6330 70484\n34120 43330\n22191 31123\n51126 52071\n40548 85254\n16772 63799\n27703 80676\n18952 36300\n1108 30503\n49559 87767\n1776 54822\n21760 49059\n41448 84501\n39930 63512\n22054 90936\n33596 68359\n20741 98289\n34186 62942\n58827 93791\n80051 89753\n62005 67634\n63660 76883\n9834 40938\n4358 52492\n15151 91223\n72851 77764\n69760 86043\n4413 20192\n2555 15378\n66678 76275\n17533 92635\n8642 48796\n74432 96201\n90426 97980\n9716 15389\n12751 46423\n68684 73114\n54628 68748\n1809 13743\n21144 82590\n25922 86535\n42821 65400\n21568 94720\n5039 41023\n11758 47158\n22843 79659\n10306 58450\n63997 86613\n31713 77078\n78153 94182\n7762 89302\n36562 83846\n15187 56108\n43892 70413\n18109 25709\n24627 34709\n5304 28875\n31302 76088\n69383 83037\n57522 86898\n40395 61673\n79730 82784\n52450 66158\n36076 41878\n14315 96260\n8825 10373\n84439 99336\n7796 32837\n28441 93211\n7844 73586\n52535 53396\n9948 27715\n90981 95731\n82184 86474\n72532 98112\n59172 70004\n22263 73520\n31240 65129\n39803 79552\n7627 77273\n39790 68170\n17755 88151\n19859 34254\n15966 64542\n10856 14019\n9075 41465\n6033 74840\n21962 58085\n38653 96035\n21881 42075\n12111 51910\n16483 50160\n19907 95841\n7315 55780\n96391 98677\n83056 84103\n19922 65411\n9850 15513\n16513 74701\n68299 88113\n29232 41365\n40985 76496\n52624 73680\n8535 51637\n61697 75967\n79232 83710\n57444 73683\n12914 71519\n80484 97701\n64059 99695\n28200 64409\n33395 73113\n27966 71983\n27273 35773\n3399 30284\n5376 66523\n21541 31540\n60910 98620\n22232 84862\n74099 90151\n17842 97061\n56481 63880\n52692 65778\n49815 82560\n86660 87463\n1976 12669\n21755 62995\n26377 52982\n48185 56505\n41606 96040\n5376 8578\n75858 86367\n34549 61760\n46800 73130\n981 68121\n32258 72033\n71667 95935\n24551 61973\n36169 51822\n20602 79522\n54897 97222\n38154 43026\n60739 84338\n58183 72254\n76384 81677\n12882 67328\n43870 89505\n21966 49287\n58987 59921\n51755 58788\n1259 84305\n66827 97291\n6702 64772\n22435 30459\n43376 98713\n5111 61796\n47254 71372\n7913 61372\n3454 70694\n3844 20397\n36496 63853\n2025 24402\n45572 68200\n67156 97301\n33756 74888\n68217 91914\n55385 63517\n9127 34323\n39023 99410\n39623 99009\n38769 75541\n55896 80933\n41609 61901\n1515 18900\n16052 83311\n24870 49865\n4050 51454\n39952 56400\n18091 80532\n16290 50445\n462 93922\n41963 87514\n9916 98991\n94786 98255\n84681 97775\n37086 61424\n13448 60036\n62271 88519\n91034 95846\n44288 59514\n35010 97394\n31479 48179\n97942 98032\n3158 15682\n30651 60141\n17873 35496\n16677 85279\n36241 73596\n30656 58947\n54614 77608\n976 22611\n94616 99066\n5564 26945\n2487 61340\n76085 94204\n13995 92621\n35871 83308\n9137 29329\n3016 33381\n25639 74184\n7765 30734\n3625 76771\n80807 87920\n26153 89375\n17388 95705\n37066 38167\n23424 71896\n21228 47373\n26104 36194\n22953 31516\n16848 43011\n37396 71857\n13908 39018\n80850 97161\n40266 86519\n15506 83988\n14768 30340\n45553 73327\n15695 42593\n25655 94735\n59747 90230\n33631 83289\n6889 28968\n46263 88255\n11323 40014\n52509 53497\n30202 63875\n20072 75326\n57310 57762\n29439 34206\n67667 70183\n43086 62374\n10737 27737\n62999 77127\n80054 90107\n40914 94587\n28263 80335\n12172 89745\n13900 61162\n62605 88354\n1674 14176\n7537 61425\n53001 65230\n34039 63207\n6840 72397\n50231 62295\n50184 63597\n29916 88948\n39655 80395\n7790 49218\n67016 90285\n54906 78910\n18970 44047\n10682 94677\n24550 31407\n9445 71892\n41516 67603\n17330 75846\n46696 99926\n6985 53417\n49851 61180\n48922 93111\n82158 96977\n17919 35723\n66728 77992\n22965 55231\n15717 26622\n26758 82032\n3661 16145\n40935 56926\n70078 99863\n18984 81044\n18161 92272\n17495 68134\n20031 44447\n69050 78194\n22703 67465\n25646 56953\n18918 27944\n34685 37095\n3155 88549\n22149 29763\n7734 13942\n35804 58166\n25340 50299\n79256 91516\n81507 89145\n45161 63317\n52601 57783\n16629 92087\n30896 48317\n25744 85904\n68400 91743\n24375 33126\n26219 46629\n46570 93279\n14365 98053\n34660 84537\n37082 95479\n32536 40246\n40774 88838\n9665 55378\n68269 79884\n78428 88181\n42947 50783\n28175 98475\n53159 97634\n33028 68931\n56260 71344\n28126 33195\n15799 20485\n18438 70458\n57011 61437\n28148 82149\n53681 77375\n58330 72166\n5217 13058\n35210 91738\n75924 76353\n22308 51594\n95392 99179\n63288 66440\n20266 90191\n61158 85393\n46549 68124\n41752 97408\n6468 82185\n73797 77419\n42718 42948\n22754 56239\n62121 86221\n51400 70626\n33539 33949\n45972 70047\n31845 54440\n22311 70435\n23446 68644\n51280 99997\n10283 46432\n20837 68068\n30503 44108\n30713 59894\n39061 58862\n683 72212\n8493 81905\n5774 71253\n57675 90814\n40454 96728\n16869 50971\n52621 64425\n56648 64088\n33965 70155\n32520 61451\n22062 31455\n67103 99985\n91952 96880\n11157 99948\n34483 65488\n46984 96221\n68715 97133\n11239 58966\n1989 14372\n23959 76701\n40489 46056\n46175 66335\n17019 70002\n15428 88323\n51717 60800\n38149 56177\n31009 71443\n73031 73870\n43002 46456\n94866 96003\n21314 87331\n67421 84298\n91535 97038\n88197 96587\n15118 38609\n17483 86548\n33735 93820\n254 97977\n45156 45939\n4226 69577\n45393 96454\n32335 95758\n34536 78036\n42049 81201\n14698 44943\n56959 71393\n13970 47539\n4777 89057\n12817 93594\n60351 93761\n93482 97559\n41497 48007\n10555 62094\n35825 43831\n43576 58801\n8994 47123\n46914 53780\n73747 81330\n43849 65072\n6184 82894\n11981 63223\n8036 11778\n9482 44051\n51450 60068\n31561 52401\n19888 38396\n70693 96465\n35342 90600\n12210 86493\n8406 70142\n16727 82788\n19537 31976\n8358 83318\n31915 84474\n40162 69710\n27264 73879\n34332 64547\n13998 98419\n19907 87552\n1879 62083\n19406 51847\n19545 56831\n7701 28751\n16534 88007\n13910 45044\n40076 61005\n6496 46036\n3018 87977\n31492 93560\n2515 50291\n65303 71932\n14048 24326\n56829 82199\n5671 75131\n42612 95088\n18322 97510\n31656 49755\n47282 53344\n1122 15173\n25164 60561\n67650 71748\n60026 83424\n43914 79722\n62307 81229\n76454 87751\n22778 91573\n11160 93069\n29389 82829\n72201 76821\n9784 49300\n43595 65522\n26256 96123\n20743 35471\n30129 74936\n77808 96703\n30416 81652\n21460 83808\n38634 69788\n24986 91698\n14549 55322\n78518 96686\n31441 80853\n51641 75837\n8273 43034\n20107 51736\n20737 32962\n48430 60749\n18552 64570\n34081 45387\n42721 67485\n5535 40435\n26617 80617\n30856 55167\n11914 20597\n57694 98009\n13444 60768\n37107 41671\n14849 66753\n58082 93547\n2815 9834\n10555 11502\n29077 58281\n35480 59572\n7615 12926\n77374 96612\n14590 38744\n5800 26551\n16180 62712\n4246 49991\n19806 32844\n75805 79858\n21047 98016\n68966 92946\n6912 23783\n56326 79615\n17950 86880\n40171 83991\n556 82732\n2412 57416\n6745 99262\n38084 45514\n211 9772\n84359 92376\n25232 66781\n20750 63476\n69855 73182\n30102 51845\n36895 57720\n13824 18422\n37735 54690\n39194 47543\n47123 48005\n51834 95391\n72276 86890\n29087 49139\n8401 33805\n12094 51219\n30426 48957\n8287 94600\n20344 72465\n73173 86890\n35365 79422\n35207 94668\n32289 56682\n10428 18244\n22781 75032\n54155 96817\n60695 98035\n58741 73690\n61063 63161\n27261 88444\n13440 20908\n49037 84305\n44842 63353\n36285 64016\n10617 29342\n58437 70799\n13383 55942\n2609 79427\n26627 55497\n2944 59526\n62042 78485\n62128 70224\n22530 63081\n40304 96943\n273 10250\n2096 74245\n581 86042\n59165 83300\n8643 39897\n15979 91808\n7122 84196\n40014 74296\n89297 91765\n30751 68558\n88022 91156\n59642 76284\n40703 94917\n78563 93707\n30128 40620\n1086 90513\n58404 68215\n21475 72416\n29868 88009\n7783 39326\n36345 93418\n36807 88692\n8881 69249\n59194 73683\n72535 85808\n42647 85515\n8759 66862\n67382 71167\n42934 83494\n56991 69093\n8474 79559\n32913 85078\n37892 56695\n22061 66279\n2620 92914\n39401 99056\n88108 98664\n17645 98311\n49302 85375\n22279 67067\n68270 90224\n73511 93623\n29312 43722\n23055 60745\n10679 91820\n12034 17984\n59116 70713\n45811 76410\n18262 32090\n7000 62639\n31251 46744\n70179 73924\n25771 26651\n63052 93432\n45251 77625\n52142 69560\n5900 71442\n17599 23952\n26583 50089\n26978 81911\n6705 35277\n55308 90184\n26391 33971\n36142 69883\n13443 55395\n38000 40470\n5266 35474\n41847 52827\n27755 86524\n5338 28712\n908 35788\n6419 13245\n20621 59800\n62795 81749\n59767 79074\n97317 99169\n6422 31763\n40705 80321\n39627 61648\n69953 76970\n4739 89097\n6573 22512\n5248 49327\n28014 98721\n10767 76651\n45566 92188\n22473 50512\n10065 65171\n1438 19313\n36375 37081\n3927 57627\n48153 65329\n29648 87276\n397 5474\n28584 30719\n33338 38837\n40173 78357\n135 34507\n11204 20686\n9307 97585\n9671 74305\n58788 82038\n33698 45939\n11048 31684\n723 17857\n80224 85152\n62472 95190\n24 74598\n21255 29537\n34747 52656\n74549 75470\n59754 80250\n17390 57308\n10750 45405\n69030 99564\n67384 91959\n33770 75853\n92563 99470\n62494 89788\n7815 31677\n2435 61806\n31427 99888\n62317 88679\n90727 96742\n56146 94965\n20504 88198\n3108 29741\n42603 81422\n67329 89798\n69125 93277\n10775 11777\n44664 47830\n62117 68453\n8171 83919\n17776 77567\n23975 72413\n79764 94170\n5327 91076\n1724 20433\n26321 70858\n37139 74929\n20393 81005\n37326 45283\n663 58677\n26783 57278\n37163 68691\n39454 85336\n11922 84617\n1889 14517\n7206 95549\n33213 85918\n11561 39867\n15456 29644\n43659 57552\n42014 58675\n8494 95494\n14336 87140\n43388 46645\n77237 79341\n25151 94537\n21392 46858\n20118 68111\n14724 88019\n12648 47770\n9502 38998\n4048 66898\n15969 43688\n79018 94996\n30110 55589\n2578 86627\n7871 99750\n22635 32046\n824 92067\n54210 73286\n8554 95581\n251 1103\n45864 81962\n36821 47989\n82240 97085\n68342 84222\n56710 94782\n18754 25220\n72947 73555\n72710 73335\n1371 14934\n49839 61396\n18265 20878\n3382 15776\n47686 59663\n36621 88862\n12921 89405\n63217 70772\n60156 67059\n8844 56479\n68237 89509\n4948 98326\n12125 83073\n6025 10485\n41368 49372\n6479 85050\n3018 49392\n45087 95482\n73828 91330\n4198 26517\n35051 63797\n48172 51698\n49961 80178\n46104 57123\n26453 98071\n75088 77384\n29624 52716\n20575 46767\n78558 84401\n5416 12580\n22913 60326\n45159 78333\n44778 89115\n71541 84730\n5892 82313\n68883 70690\n33328 96709\n48740 88143\n9094 82760\n23671 52437\n61695 75653\n69477 94547\n68056 68645\n22236 50258\n27827 32789\n34516 61298\n29606 85139\n40485 83254\n9997 57670\n2997 95909\n70333 93809\n21965 23034\n65265 79160\n33353 65522\n69168 79572\n33847 84155\n29484 94114\n5944 31387\n64964 96456\n16553 89835\n50301 71828\n1097 68484\n1217 65966\n31990 63550\n30435 85222\n49789 86248\n45771 67240\n35207 90436\n59860 66152\n9017 20991\n19811 39229\n17666 70206\n60977 73238\n6303 22792\n4860 48510\n25767 94415\n517 97178\n50747 58176\n16666 84801\n18209 24518\n15709 31171\n30391 42697\n3341 83502\n29965 69987\n61876 77079\n20080 38182\n25781 26274\n21737 53296\n13577 97879\n57228 59244\n1156 40311\n14717 77491\n49214 65536\n36310 83618\n47462 53982\n20175 78401\n91937 91998\n10790 84254\n1112 11172\n57519 89539\n51887 74479\n14535 64207\n20855 37242\n3944 13964\n36582 46879\n27089 71136\n16946 66438\n46856 66558\n17490 91855\n80264 98870\n68092 98469\n53207 81443\n392 47473\n2867 33565\n20874 43248\n92164 92486\n11494 18185\n15372 74647\n71861 81107\n57558 92218\n40286 56118\n39536 66228\n8949 90807\n30246 52289\n23535 81427\n22345 66242\n28559 71889\n5557 57375\n95809 97395\n63702 79542\n51205 65390\n62251 86748\n24734 61040\n87177 96961\n3016 10155\n16481 64001\n56190 72976\n23754 84002\n55559 57968\n65085 70852\n42977 81374\n14734 61293\n23529 98375\n6287 81449\n23718 89716\n21925 41044\n1131 35735\n43037 88894\n3915 64636\n52469 91517\n86662 99015\n13946 86642\n16461 34658\n6813 53485\n60977 73609\n28733 63907\n35390 85578\n64231 71331\n54357 76348\n9477 56424\n80374 81064\n35405 77692\n9287 37127\n87356 99751\n19370 43871\n16032 89154\n81022 94452\n6650 98979\n16584 66301\n13954 64532\n18999 66622\n36311 98741\n20985 41102\n11905 87217\n49293 81102\n8233 85633\n10350 17524\n19001 32671\n56550 65439\n1438 42003\n13886 34231\n24181 62447\n49460 82474\n54556 83594\n35099 58717\n80611 91579\n6410 97117\n87135 96136\n18127 73523\n33138 44314\n47018 86590\n31672 43840\n15066 69083\n26124 32456\n12510 64631\n2301 12385\n14331 42027\n67170 93285\n11173 28904\n14680 99234\n29528 68873\n25465 65401\n37185 52569\n65110 75521\n74588 80781\n66106 76186\n12375 95852\n1267 18889\n37214 45962\n23371 47514\n9370 67440\n9617 66820\n5941 28774\n20415 78892\n62888 63314\n87906 95348\n50390 85973\n78957 94069\n57977 93457\n52875 86465\n18306 81597\n53091 97974\n20414 54780\n23258 47323\n24457 99913\n25804 79433\n42300 68803\n80220 87091\n6577 41339\n16723 66591\n67975 91611\n54201 83336\n59351 89909\n50130 77758\n65454 72617\n68560 81211\n30744 82650\n10732 54413\n49053 82992\n18760 29272\n515 3376\n1995 87378\n11794 34658\n79943 88014\n24365 82966\n34548 74726\n42781 90413\n2994 85328\n30012 54068\n12055 60638\n55820 89921\n5791 9405\n59885 88265\n62507 77169\n23591 43859\n49556 61064\n45250 69616\n19664 88165\n11591 32550\n15260 27624\n31582 70713\n25961 40667\n16516 38726\n36781 84843\n1120 24187\n39228 49938\n83971 95704\n30950 76124\n72925 81849\n1348 61808\n25442 73010\n41799 61762\n89326 94018\n31904 80747\n50094 81203\n26743 81722\n729 6991\n14458 60899\n75942 84617\n21002 25890\n20227 48039\n39569 60966\n50984 78225\n7999 80470\n50465 79929\n30521 95951\n19812 27987\n16552 99320\n49797 92379\n36495 84373\n20924 41048\n2621 13929\n66942 74960\n14886 98808\n5723 7234\n26811 48252\n17512 83529\n28887 91735\n57751 61069\n36544 53854\n61971 95207\n11659 35134\n5255 11929\n14682 60393\n57608 95365\n34943 54878\n36652 55030\n69326 88948\n12931 33514\n24899 68878\n50252 98957\n20718 81364\n4261 43609\n10163 69749\n3312 99146\n37726 54224\n60529 81842\n13149 85999\n20579 66518\n22954 39141\n27338 30407\n23139 71997\n15703 62695\n55696 91322\n29244 63868\n44252 47737\n65618 71364\n23363 39647\n24904 71051\n38294 70683\n28911 41362\n11735 35039\n10440 43635\n25680 60492\n7750 36299\n61594 93673\n79675 91913\n65935 76668\n83557 84739\n63144 87781\n41056 61025\n34383 54275\n14722 87227\n7464 43440\n22740 81743\n20322 79274\n28635 87577\n6681 35074\n17385 39553\n23218 80119\n10977 84429\n57551 76515\n68999 78441\n56251 63143\n19573 97916\n27762 72383\n46446 84125\n7578 34591\n39735 98596\n4457 38672\n53953 68693\n44126 90180\n34294 39127\n10616 78508\n35865 56850\n7041 33723\n8938 87096\n23579 80220\n6448 22107\n53654 83448\n39211 49085\n16440 68233\n11268 55618\n35179 60944\n57578 58432\n70724 87615\n91816 94874\n19007 79675\n83180 89732\n57744 61937\n11796 57385\n44238 68709\n87659 93035\n33504 83059\n54258 91692\n31059 57759\n84744 87838\n52429 72180\n50957 87162\n1170 95554\n51010 69822\n90879 98166\n42043 61384\n77369 91605\n35596 55981\n60263 72617\n10777 66003\n29228 93270\n51938 87412\n20341 68500\n67270 92331\n65123 84574\n19425 49173\n1524 30824\n35839 83188\n30205 68642\n49370 71885\n5276 95736\n20238 53496\n55678 98895\n1977 48182\n25811 83993\n4766 64386\n58485 87729\n53278 99646\n32491 72727\n13736 16102\n12311 87422\n21701 28202\n3265 66422\n19067 83052\n33197 61260\n39516 66470\n16134 64322\n50222 86614\n1381 12324\n8294 20049\n64492 73132\n1232 21525\n26218 56729\n2571 68740\n22203 26626\n38426 70605\n54770 70031\n34141 62160\n2211 64968\n19452 38162\n30357 75879\n69545 75634\n2238 36416\n27015 78795\n23397 43187\n9778 65396\n18717 41117\n6981 55716\n9626 31033\n33722 35657\n17868 73053\n5513 19135\n65131 87476\n37299 45471\n45062 70559\n6149 7071\n6266 49769\n41387 59180\n34797 58435\n66162 94521\n45867 82261\n76654 82497\n48072 54047\n14096 48745\n70702 92624\n2144 42848\n26 60842\n63306 94608\n35403 43067\n26588 80408\n1386 44658\n45772 92461\n36252 40479\n32273 69027\n30584 57499\n49263 52425\n66684 70725\n43261 48800\n26337 58321\n4923 29956\n50872 89302\n14407 33797\n31372 31725\n74867 77283\n56179 84176\n44477 78941\n6024 13060\n1246 88911\n63771 74635\n32009 60618\n33116 47117\n32837 48277\n24112 31068\n33814 66731\n1150 93822\n23396 44181\n56392 81905\n77183 95776\n18001 54216\n24926 31034\n32313 65481\n19373 47308\n22430 59605\n66851 85208\n11600 63674\n43351 72031\n20717 43246\n18627 23032\n12217 15107\n82432 89222\n39738 46380\n22742 96592\n34819 61551\n27365 83420\n10516 81361\n38821 67954\n65671 72062\n4165 29751\n43384 62244\n36174 82908\n280 30985\n30835 61781\n40970 50008\n61541 80344\n47420 73441\n71966 79199\n58109 67117\n21687 47584\n2069 56635\n16938 34993\n3512 60320\n19019 85258\n40474 82134\n56478 94079\n9971 86627\n32602 43531\n58360 60806\n50187 90401\n18581 99247\n60529 82624\n5176 34731\n40913 81239\n11560 98808\n33642 93058\n22747 57818\n58104 98355\n1133 83039\n5473 81371\n54765 64705\n43601 66962\n18166 59404\n4857 20870\n29049 32232\n43306 64885\n43777 94205\n16538 47288\n21039 54160\n7751 33218\n22866 29804\n57180 81216\n32215 92973\n56053 97477\n29487 54697\n70651 87173\n25043 54819\n124 96817\n29784 44354\n63581 75644\n64228 74230\n4497 26357\n20945 80900\n12687 12887\n87858 95079\n2500 88891\n8412 44431\n11097 28056\n51159 97886\n8585 55798\n86246 86483\n289 41896\n4298 26455\n6310 13094\n6170 78568\n28784 90004\n69378 84293\n40540 60443\n58506 61817\n14775 76183\n3081 64628\n10409 42400\n10355 55270\n32821 68436\n25076 38298\n35949 92744\n2601 10807\n32574 69826\n23173 33924\n28496 35144\n33695 70529\n9162 68749\n69030 70774\n23519 91729\n10479 92269\n72174 76706\n86794 96432\n12488 62548\n62698 70508\n57251 62939\n49913 52644\n1023 58565\n15102 63929\n50148 73724\n48996 93495\n3907 23355\n59057 81748\n5805 63228\n40478 58160\n16204 21530\n43943 96645\n14084 27744\n11854 44258\n9853 15737\n51940 60592\n20419 78856\n95666 98211\n40254 81779\n14088 25858\n35946 94116\n38087 97178\n19283 66915\n24000 69844\n31911 57452\n14946 86690\n24854 96008\n23318 29484\n36337 46530\n85187 99958\n28154 61379\n9071 49301\n26275 87404\n2056 17044\n22077 97522\n62866 63572\n37885 42180\n73781 98802\n60212 89188\n45167 79799\n47073 77520\n25505 51243\n72216 93413\n24266 26081\n67616 85731\n5061 81712\n58598 82896\n53039 63409\n32456 68006\n18865 34783\n19236 95331\n17242 93976\n1879 20484\n12573 85408\n19355 54535\n10293 87920\n50352 84680\n9446 85811\n5021 8784\n12734 46580\n32082 43303\n48757 99306\n5970 43161\n16245 55846\n48366 89709\n5836 14865\n44529 58830\n4800 35243\n49112 86846\n87591 89664\n73608 86744\n60882 63975\n32532 32680\n50602 97403\n61684 96733\n89858 98626\n58901 89268\n17987 82541\n23062 75001\n39181 69916\n24315 45065\n27669 47443\n24751 68935\n89296 95504\n34194 55026\n65121 81730\n37667 67587\n39167 64557\n13630 38645\n76126 91329\n24927 85446\n19669 45014\n35140 39889\n149 25939\n92172 92438\n4469 67251\n63072 82237\n60429 94498\n52932 86690\n21323 77729\n16910 75271\n16510 63659\n10627 90784\n6090 45092\n70302 87925\n33506 74090\n3980 63662\n18022 32520\n47900 53391\n2780 71964\n75199 96139\n9012 39000\n68503 70339\n7745 31803\n88849 94460\n59955 98548\n17965 48902\n10450 30857\n53019 88423\n10087 92999\n36225 50966\n48197 94371\n14534 94820\n51732 69651\n66433 99693\n23076 90832\n38958 65355\n48877 56062\n61731 62999\n10970 36943\n63412 85186\n35746 57847\n61212 62941\n31628 41624\n2448 56117\n18211 80933\n45273 66710\n47379 91260\n11756 28335\n10438 56631\n84366 84382\n1690 52138\n61637 93373\n87517 87786\n11847 72858\n10900 69921\n35620 36172\n10169 43628\n49728 67152\n66100 79274\n66486 99753\n30505 76842\n44232 64948\n2225 69871\n55533 88392\n47665 69173\n31212 55967\n27366 83233\n24708 34458\n18213 26915\n52682 68469\n21243 83037\n33737 45363\n3234 78687\n7298 69449\n16474 20472\n34321 36764\n46130 89860\n44619 64405\n23342 73268\n34413 76603\n32476 87906\n29045 82562\n2890 13313\n26052 42477\n63187 64080\n67845 80446\n21247 95519\n35273 63506\n85347 92356\n42120 70947\n92777 96273\n38236 55640\n35072 87921\n18006 35137\n10550 22907\n43762 53787\n64066 87514\n54496 59380\n48562 59637\n34621 90724\n31905 75561\n10387 75486\n39094 67934\n13019 23146\n17235 48202\n598 91932\n52813 72755\n37519 61352\n56897 71030\n9340 49156\n26328 97150\n27427 37759\n35976 85429\n18463 89455\n10806 16634\n81441 91195\n4020 64938\n9623 52518\n1580 3520\n15948 61692\n4403 90098\n43168 99969\n4646 47961\n53622 71587\n57075 65827\n37374 79587\n58833 85483\n5859 51708\n27877 63659\n3405 72928\n65185 74281\n63362 68427\n25759 98686\n90455 98144\n88904 91389\n59857 90797\n35738 45822\n290 30728\n44890 45751\n57843 94850\n37045 85326\n24513 79579\n28565 66722\n24861 87611\n51291 51901\n60789 73311\n4966 58728\n65701 67905\n21700 60757\n74156 83061\n969 88238\n87985 99854\n3888 48408\n33081 71501\n32398 66621\n33876 90919\n78272 84527\n46642 99371\n12072 55804\n10149 82188\n58241 60144\n70833 90712\n25641 70615\n21702 65401\n39912 88656\n22979 92843\n1065 56413\n1152 75471\n44118 84800\n3273 94211\n14037 64927\n13383 92036\n9605 38834\n22836 59444\n54139 89792\n31939 73342\n61189 75647\n28856 77710\n78895 96954\n36167 39573\n36485 51741\n64228 73790\n18808 99505\n27386 75471\n39035 68190\n3178 92682\n38824 53246\n27907 35014\n9742 28503\n23036 25976\n52980 65437\n3491 64179\n39361 90442\n8354 15227\n39309 79650\n9199 91741\n61570 90916\n37757 52205\n32510 55364\n48480 61980\n51345 62073\n22201 98605\n22971 68112\n5569 80718\n37055 59463\n94920 97771\n74311 81329\n36780 51344\n38799 59143\n15597 21018\n14779 36107\n12633 65673\n17595 57060\n13116 98388\n61483 61911\n57021 67551\n21664 29649\n39804 64274\n26773 92786\n54105 79183\n25589 78078\n34974 86556\n58917 66007\n17406 86972\n14534 70604\n63599 65234\n41746 52206\n32405 55251\n42290 82439\n4428 28340\n14608 54140\n7923 97854\n138 2890\n20580 87418\n48743 52220\n579 49829\n25524 81116\n81736 84411\n8951 63450\n22188 52546\n4266 60654\n72420 82705\n26910 50757\n20405 98482\n43049 63200\n704 16616\n16266 93203\n39560 71449\n45212 93514\n12302 50365\n38256 54221\n10289 13154\n77222 84195\n31934 79600\n30032 77441\n3344 12234\n24990 96170\n1961 81428\n56696 81076\n67435 75625\n5240 52750\n46512 59784\n36765 77686\n8523 32985\n14748 69581\n20050 23289\n17805 68801\n21023 40656\n55736 57413\n24869 79620\n78306 88098\n23146 36231\n14499 72045\n77147 97019\n10019 17987\n17007 34996\n15888 89745\n87208 92140\n5648 46962\n47288 52891\n20691 50398\n62124 91305\n4144 10330\n11889 78218\n23829 52349\n9490 36060\n43980 88588\n15697 69851\n62507 91551\n29079 48892\n54994 66699\n68949 69885\n44215 96758\n58018 74678\n2571 5792\n27728 79282\n42592 70218\n7636 19509\n37892 99328\n67590 81858\n25045 42948\n31769 43898\n10792 50343\n51803 79568\n62595 98578\n52257 73193\n37154 77602\n32185 97523\n11427 99142\n94821 96029\n70906 94025\n38208 62698\n78577 79645\n15450 77957\n409 92034\n14848 72506\n67474 87447\n21340 86773\n32263 87938\n35868 59761\n43244 88157\n11129 16348\n44482 48127\n8741 53906\n50051 84270\n10815 88093\n45901 99740\n67719 77106\n39156 82359\n74186 90426\n7122 88700\n7287 67476\n27041 99227\n75279 92369\n77564 99428\n29858 92847\n33181 51603\n71323 74697\n19458 80932\n2045 68033\n30702 68213\n11636 78038\n94535 99916\n21971 86475\n34094 79238\n51612 81483\n26756 87427\n35689 37448\n22535 64783\n93605 95470\n61683 78385\n71362 89943\n18319 97578\n56629 74129\n19694 88768\n21000 71137\n13251 23566\n46973 74651\n76512 89877\n17921 73176\n37246 79959\n50284 66722\n29923 89664\n40822 51382\n6816 29408\n55950 62779\n9594 39874\n52672 57982\n31712 76887\n30597 32998\n64843 69812\n42916 70951\n30120 70793\n9187 19320\n58815 70467\n47266 61878\n33681 73705\n23692 60660\n10475 72386\n36774 91994\n58502 83591\n2501 48026\n24321 48498\n59817 91017\n37604 80774\n79680 79708\n19079 43924\n5756 88205\n68952 70730\n7280 27938\n37545 39304\n45252 52801\n13775 26813\n8035 41109\n79281 94263\n28197 57260\n15251 18194\n54412 73521\n10788 38801\n13166 67472\n10390 51982\n44910 45226\n39104 50914\n1601 50637\n26412 58722\n34060 43747\n36269 53595\n29041 75387\n86849 92900\n15903 80017\n16825 41597\n29545 48342\n35827 36656\n70542 82281\n3381 33555\n41929 46612\n92015 98752\n2695 94102\n71449 92668\n12007 87348\n46729 69162\n53481 68944\n20289 67554\n26302 89668\n886 77909\n21168 80906\n79305 91345\n22725 55318\n30987 41631\n6459 41826\n27215 76679\n65975 76003\n49537 83082\n68708 97079\n28050 59812\n15820 65214\n12902 17122\n300 48121\n57804 62075\n55398 79979\n78527 99097\n65703 97421\n39675 42664\n6212 53699\n5675 77629\n13514 21812\n51109 69352\n26415 76370\n8306 86518\n20797 36757\n44082 98906\n12125 64080\n16311 26109\n6583 42031\n5408 45430\n5218 96330\n37623 63583\n21335 95515\n28212 78200\n6594 27948\n3013 55574\n58470 79754\n16042 93338\n59611 90440\n69805 86160\n28274 47907\n49765 73904\n11472 55511\n32443 99136\n78636 90139\n13440 82226\n69771 95794\n62095 78661\n14449 39390\n39548 80386\n1423 49708\n53569 60294\n42326 82898\n42904 58441\n54540 89810\n14915 64926\n58722 60293\n41224 94200\n42848 55817\n20126 59146\n14464 42645\n23339 91726\n4607 75346\n71648 94674\n8708 88395\n40717 87134\n92552 93103\n69997 92526\n32046 84011\n40189 49341\n28143 92823\n54030 99410\n71630 81987\n12833 23419\n17071 53691\n7444 13989\n65453 96527\n61980 77298\n10437 33073\n59997 69987\n65885 75573\n50863 97210\n6798 37140\n33588 46946\n22548 97329\n27422 53872\n73026 91826\n26557 96944\n51199 69477\n14417 50941\n3906 28395\n54585 56838\n9110 20352\n13866 54590\n7748 19807\n14944 28507\n86452 88973\n64391 72207\n23290 46198\n19422 50598\n53607 63025\n16252 49283\n56999 91803\n6662 45318\n62734 82913\n1798 27851\n27800 85806\n41993 79446\n57418 97163\n40655 86939\n14913 20978\n14842 93642\n64608 71665\n35167 93824\n63604 84185\n29783 65479\n68833 97116\n15929 97960\n19034 34904\n64948 99865\n25063 94556\n54555 75135\n34301 56904\n75802 95890\n26631 54924\n18161 72113\n24725 86922\n48968 75632\n1992 26408\n13651 49846\n29110 92566\n4141 88529\n5679 7401\n68461 96399\n68632 92796\n35309 40323\n50250 92107\n58631 93856\n49933 75440\n13420 23792\n38504 82624\n2922 17284\n63240 84741\n28671 50638\n53367 68054\n64762 88464\n17941 79829\n24802 72475\n18265 69745\n21878 35254\n3750 63968\n8439 12475\n25279 31467\n52126 88659\n25251 43587\n62192 85534\n20098 89260\n66570 81719\n25638 98968\n11029 51211\n22258 98531\n56597 58712\n56300 72317\n76914 95925\n47170 91731\n60710 78835\n36264 72817\n54755 57946\n26363 54465\n48696 98555\n68574 95054\n2512 41859\n4874 42436\n30171 98606\n22365 27971\n56915 89622\n59417 83106\n54150 76070\n12963 18737\n40473 95585\n84781 99470\n2417 52440\n7532 9889\n7076 8800\n13321 71746\n4317 4406\n56300 68515\n51324 94075\n47250 51331\n841 28775\n36363 55960\n44044 67086\n1460 49421\n59797 87318\n9164 18076\n82453 95101\n16482 20618\n20919 94135\n43233 79598\n71310 79534\n62568 96340\n45106 82341\n16664 61910\n48490 49070\n80812 97302\n2802 51728\n32260 92856\n66086 74535\n4215 92032\n50238 58238\n6193 95104\n41336 58077\n9170 37118\n35469 42002\n23578 99480\n37428 40018\n17128 63483\n41914 93803\n78547 99400\n38142 87898\n35923 44004\n62301 87306\n22383 35471\n1924 45107\n2931 90736\n39229 86510\n37148 51365\n40644 79659\n336 30698\n7485 47630\n26945 29473\n48703 54568\n36428 49002\n33165 58966\n23609 54379\n7886 42219\n36983 61276\n7911 87287\n39322 78709\n63480 68561\n1689 25001\n64286 90004\n45689 83231\n23144 45973\n1958 95957\n42902 53799\n63315 71886\n60120 64468\n56567 61263\n11069 84065\n29716 39925\n15467 44660\n39941 68683\n22749 50122\n16496 66990\n74359 74900\n7806 11274\n8923 93716\n20417 77599\n27297 94131\n1457 43749\n55935 84286\n17768 18413\n20216 97217\n23863 59766\n3276 81119\n68996 81965\n8912 70914\n7565 52306\n68084 84096\n83645 89770\n36838 82060\n67176 75223\n7850 25461\n21982 41589\n40765 61146\n22327 57259\n26612 51459\n4906 22148\n40178 75477\n28655 61126\n56931 70415\n446 89407\n56149 79831\n27657 87216\n69656 89214\n44253 61870\n17108 85640\n10347 96392\n50085 59660\n72635 87683\n43892 97937\n15619 38967\n22225 22231\n57388 94913\n12667 40962\n30385 77354\n2770 74542\n37551 86847\n9787 91661\n27558 45786\n40550 98030\n4785 53853\n74496 91030\n76080 95912\n65749 73648\n47381 90762\n9804 59350\n51093 53986\n59036 88548\n43883 63638\n25927 70806\n42117 60796\n46778 89630\n22895 36204\n36952 56738\n2360 45891\n60214 65615\n674 42905\n1698 31607\n32380 51420\n55089 86981\n41108 65098\n4295 5348\n50601 77702\n86993 99430\n85625 99517\n18427 28650\n37189 52721\n38489 76231\n3924 10768\n50420 69318\n78542 87177\n16763 76690\n70998 80242\n22715 80869\n81271 84468\n47208 67487\n45199 48248\n639 30684\n12510 43045\n19795 48583\n26859 47123\n49818 99716\n53597 53918\n87605 92084\n27508 27844\n31245 66520\n38013 69625\n28896 70079\n71317 91531\n38357 61905\n10963 96968\n10910 28641\n37810 46638\n7446 91946\n322 60514\n36089 66111\n44851 76250\n21207 64246\n57593 58876\n34559 85448\n14620 96661\n7166 93227\n13128 15270\n12089 80037\n3844 14875\n24126 63458\n16040 97777\n3786 77174\n29112 74641\n13671 53200\n38256 65005\n76568 91316\n28649 49257\n26951 90911\n22638 61201\n25836 87820\n6966 35447\n2348 78245\n68540 93018\n17310 43495\n5832 58174\n53096 56199\n89824 98801\n90233 97157\n35562 47160\n16407 39951\n46922 68979\n18858 59170\n37733 42521\n32395 72860\n14382 83801\n39829 43801\n39454 47302\n21947 35315\n75959 89238\n21026 69227\n14117 96484\n91600 98974\n39 5529\n37474 38577\n10166 19832\n35206 56122\n45647 66725\n25773 64108\n37999 59730\n5094 50872\n90794 98254\n38255 92863\n25994 53626\n52742 90026\n4112 67050\n38363 95256\n1732 7699\n42361 64650\n2803 99869\n42158 50983\n6915 66560\n27160 52465\n18446 97094\n9956 27633\n15211 98946\n70114 80766\n63748 94102\n62192 87838\n2620 87162\n39142 61789\n68180 80178\n44163 99855\n36106 88425\n13867 88046\n18779 22333\n42035 67620\n47371 48764\n11051 47341\n37148 68188\n22738 98182\n443 77907\n24818 43824\n7388 84900\n90402 98111\n12123 29294\n30459 91847\n65058 88376\n23712 60948\n4628 18206\n535 29810\n43844 92625\n14100 60953\n56168 71763\n81437 96293\n19110 63345\n46000 47289\n19399 65341\n44280 89266\n46561 60010\n55835 56804\n18537 39529\n56471 72716\n67530 91920\n28344 78362\n33939 70288\n34080 78237\n9402 82503\n6213 80066\n41789 44763\n40167 49418\n54137 98282\n27158 86796\n30676 58417\n10643 69952\n26573 34303\n51877 82538\n83401 87210\n34748 85892\n25194 93041\n21359 96850\n7551 75036\n8774 15229\n21222 82314\n36208 45801\n30960 97667\n25016 74688\n66751 67411\n2288 93059\n3080 87481\n20282 20429\n43150 51741\n45618 63927\n7174 51577\n9173 20677\n33596 48691\n52403 75934\n6972 31932\n54361 92585\n23795 88098\n55497 58353\n3687 13296\n28806 42462\n25789 35584\n21297 33840\n15234 67111\n73647 77897\n79255 84182\n6421 88171\n32684 85240\n46556 85991\n18451 72726\n20739 60970\n33357 53338\n3972 52243\n8564 85653\n41676 85955\n76163 78942\n11449 64774\n4290 63083\n24863 73617\n55636 77444\n37928 56832\n37467 69494\n18493 79256\n19967 94598\n18637 26748\n17774 73421\n31403 93875\n92089 96962\n5322 77921\n11724 79668\n27517 52427\n11491 52536\n9021 62588\n6669 26853\n39116 42695\n17036 42592\n26656 88606\n85106 96731\n56217 61412\n49291 93930\n3049 15186\n51990 76650\n4824 89017\n39195 71261\n55496 77108\n41180 62136\n7794 60233\n50860 78372\n52740 85331\n23715 28046\n53143 58958\n19802 82500\n44995 57413\n1535 91830\n31756 81874\n3054 13388\n2901 35863\n7398 53069\n18026 34846\n27062 93125\n29558 60733\n37612 42883\n46375 85505\n53792 63589\n17140 36355\n59210 81150\n21101 24413\n15534 44767\n9979 25737\n28142 95699\n74546 79029\n28721 99284\n19936 48972\n41673 97201\n29851 81049\n21419 99939\n14302 97173\n18804 52871\n21621 33298\n40576 72840\n5604 21988\n31574 91586\n20605 87675\n8577 61349\n6339 74125\n3400 72416\n54136 90987\n51673 68185\n4928 46320\n8724 63767\n23090 60930\n55040 80392\n337 57149\n62894 71552\n37530 71429\n48104 84058\n22656 78721\n30106 51744\n14619 73218\n9572 88577\n26845 57958\n11318 79618\n20205 37932\n43974 93885\n44548 74234\n15002 65716\n6557 39894\n1568 54618\n21662 32462\n4748 39445\n80645 84531\n39748 54126\n27145 60632\n19325 75734\n45606 59390\n65148 68824\n27745 56053\n19947 88509\n36588 56548\n26075 28667\n26648 95333\n90058 92442\n29428 67272\n21220 67237\n8215 86110\n6927 90905\n10015 15120\n23827 61441\n22033 48704\n65079 73015\n23241 23260\n70728 93254\n44889 84591\n28482 84282\n60310 99949\n53273 83071\n4708 80150\n15544 78774\n45174 64848\n18231 54980\n27686 58700\n13287 64457\n12653 20128\n29144 93301\n27299 87594\n20699 54125\n11457 33397\n9409 81975\n58480 69385\n14293 54207\n75931 82151\n23338 26010\n57573 68110\n13150 78607\n59832 77337\n14925 25443\n36457 84229\n30249 59606\n60698 75845\n1147 70361\n32165 69608\n29071 98514\n24977 85300\n7232 89905\n37153 97716\n22256 65908\n4556 35858\n5448 83595\n75211 88354\n15303 34674\n56568 72029\n34768 62168\n14963 18473\n55080 98399\n13046 84973\n11975 43790\n36914 72031\n15844 68167\n46158 68638\n14691 84192\n13200 99769\n7792 15008\n20915 40750\n23301 37049\n76998 95096\n19818 69220\n52333 70088\n45584 76347\n66932 99716\n17982 95099\n150 33607\n37815 66095\n36981 98424\n45692 51721\n68922 74776\n15315 96887\n17083 85450\n1830 78577\n65919 91221\n28427 53797\n17848 54144\n31061 87805\n24839 40007\n20567 28237\n21476 43754\n76768 79493\n34502 67945\n92507 99562\n19517 61321\n30711 57822\n34029 94361\n11317 41786\n40810 95624\n17660 88771\n7098 65053\n16063 41364\n6809 36529\n77507 88505\n26269 73019\n16793 65870\n1860 84754\n53905 85125\n62928 83071\n7762 54689\n38010 67935\n39335 66221\n43775 44159\n35016 87202\n8668 30429\n6864 46584\n44420 62728\n60972 94382\n53059 93551\n18305 52192\n47020 60575\n43952 95947\n35536 56973\n50510 83982\n35931 97624\n30073 68271\n3732 11488\n22329 85276\n2310 89730\n8319 88148\n16992 71039\n11924 63716\n32666 53183\n68921 79560\n28627 31284\n83966 98774\n49711 56710\n57646 64696\n4485 52997\n43958 87418\n72026 85670\n24091 76188\n83900 91776\n63050 83820\n11410 32323\n14935 31139\n5382 18078\n68391 89815\n28617 36219\n28112 83952\n41577 82395\n4762 76445\n52496 61084\n11817 78104\n51885 98431\n12510 58202\n33359 60819\n23935 55369\n92658 94785\n599 20268\n67702 96054\n16673 49738\n21902 57905\n3281 57739\n61187 64127\n11341 65226\n4949 24554\n14798 21748\n33015 57324\n58247 98170\n7443 57455\n15721 79840\n66913 78094\n48897 95451\n17566 19936\n2367 34797\n82995 83835\n18980 38798\n71003 81234\n12669 66832\n77879 98200\n8820 96345\n10294 99887\n54446 68324\n50425 98758\n55942 97924\n18446 56603\n66398 82722\n69622 85691\n14361 47049\n11913 77013\n28591 31482\n203 69876\n66737 79777\n75792 77031\n33212 51008\n2046 96033\n66909 98578\n36737 95070\n20041 21347\n36 31611\n73672 74974\n14983 51734\n31937 39802\n12402 32712\n25786 48173\n42488 71553\n48141 54041\n20107 91832\n53229 93610\n36004 57399\n626 35081\n17481 89574\n32914 37223\n5797 17650\n12396 63232\n70130 93083\n63629 94267\n60947 92892\n58654 60455\n8547 73629\n84274 91586\n55415 72622\n35855 41334\n12937 79946\n5734 57950\n48588 57776\n52398 96431\n8215 96262\n25583 97569\n81005 81666\n3387 70758\n65193 70454\n6317 95618\n6027 23883\n36154 56038\n5026 88568\n29844 56043\n21503 79463\n3794 44632\n7882 20763\n64546 77546\n57338 67718\n23359 32222\n47759 78971\n33062 54381\n2813 5680\n26758 91431\n20411 33583\n19486 55830\n91870 96970\n22244 80336\n60661 96813\n3403 33782\n2783 96108\n69062 75179\n19484 36823\n4784 61208\n35161 76095\n39679 93051\n10812 66746\n50472 56720\n6138 48290\n14062 43949\n33230 72061\n8902 18465\n33370 33754\n33731 57903\n30064 44855\n39891 78716\n46342 65548\n9941 18134\n52577 80432\n5414 93680\n63283 94374\n21512 75998\n7936 99385\n38044 51462\n18649 62131\n46453 47640\n31623 45178\n63952 66002\n25767 78776\n10826 31070\n23004 70126\n35002 95522\n7111 22955\n27013 83015\n21832 30740\n84642 90686\n39746 52832\n38387 88461\n69783 86169\n4691 55454\n41277 86558\n73603 92697\n23136 51582\n28033 57233\n35495 78969\n29094 82481\n52592 67934\n14441 17764\n81215 83254\n31676 40303\n17129 69655\n28610 75464\n56892 97237\n11353 43306\n16193 87041\n49305 78582\n5544 12641\n58812 58853\n19561 90234\n74904 77912\n40650 56363\n16900 80980\n9465 90409\n6270 30045\n13235 31976\n46189 78053\n14070 42112\n47592 76627\n51606 94410\n40844 67150\n73296 80338\n64750 74612\n42895 67601\n15505 68348\n38275 44735\n35968 84440\n4444 5642\n78670 93610\n41505 99151\n42824 51906\n24250 99898\n48413 65768\n6995 9424\n38503 86833\n70076 88798\n57588 85060\n56719 59397\n48552 62763\n7048 9757\n65345 81764\n62696 64878\n3641 96918\n6216 10206\n46158 46318\n10651 54365\n20492 65207\n3491 18669\n14063 33116\n16503 16646\n25598 32748\n43219 65099\n3597 99830\n25261 43426\n54947 81155\n4242 61061\n9682 65325\n35536 76249\n22713 40689\n10081 69290\n37176 98909\n39465 85900\n30372 83237\n83111 92790\n74740 76863\n87028 91617\n54467 58618\n28227 83214\n19614 70566\n19047 80809\n58805 95961\n3434 94202\n23155 93057\n41155 48088\n15278 86752\n367 26092\n74216 96046\n25116 97242\n23765 73911\n81329 99473\n4137 76744\n63148 97920\n23926 33197\n35029 42751\n55346 94209\n45492 57860\n42330 73607\n53492 80739\n32561 52383\n15559 61364\n21078 73685\n45461 57190\n2177 5243\n43852 76314\n30190 98066\n42940 86745\n12466 13447\n22335 37831\n37221 77915\n13205 93126\n49104 59950\n61006 97500\n11732 77139\n50902 99721\n18371 81366\n9929 61699\n33716 38731\n38010 46507\n90848 92559\n32051 87836\n79044 94275\n4040 71303\n94841 98101\n71431 78556\n10435 16344\n46868 57733\n37990 76068\n75097 83888\n59224 90072\n52277 61970\n2438 64548\n19875 56327\n48256 93031\n3907 32710\n4117 95856\n37142 72452\n21945 38817\n27731 95235\n42907 50042\n26411 91371\n24571 99954\n10397 21442\n41012 68488\n91394 98224\n19480 75980\n13426 47513\n27129 81183\n40081 98696\n15549 79064\n16947 53699\n47546 65091\n23800 94609\n8718 65957\n1351 83316\n82065 83307\n57224 83598\n14320 41900\n21952 36271\n32826 82750\n56729 63357\n63367 94218\n10432 32728\n33825 56220\n46039 96058\n5616 82255\n1491 14766\n26735 88399\n72293 99310\n40708 64833\n35594 55014\n51059 70726\n54807 78259\n26687 51432\n14512 33734\n2577 96066\n27644 81649\n30343 80699\n21939 78341\n15928 61518\n22704 77163\n65880 95508\n13678 48044\n7661 96342\n54293 62852\n57835 78605\n80733 97210\n59735 99388\n1480 61741\n59013 79985\n85597 98366\n9756 55463\n6267 11287\n47118 94001\n20240 21740\n13811 90668\n15298 43290\n35339 51150\n178 50941\n20717 41422\n38561 84159\n84951 85236\n32430 86079\n34975 77472\n71041 76062\n32212 60065\n43969 51758\n10370 89632\n37998 46410\n10607 71333\n77045 84879\n14388 89854\n88316 95922\n65359 87951\n47439 71121\n9597 85885\n18762 59793\n50677 93480\n49997 99603\n50128 96453\n9576 58656\n2613 99669\n33363 91808\n20063 32265\n48259 75212\n35869 92395\n22098 74779\n62154 84049\n49251 95687\n18463 65146\n44070 66423\n9096 90626\n21002 31093\n29193 46345\n45469 84531\n17232 98054\n86017 99433\n28466 97127\n1099 93500\n3522 74716\n19431 49842\n62252 98760\n18873 92667\n6752 66130\n30846 74787\n8934 14150\n11646 72287\n73836 82580\n4860 9296\n25488 60618\n58042 69620\n8503 79613\n77388 86935\n41232 91904\n45254 81870\n37277 69184\n24166 71903\n22698 66298\n44413 88592\n24329 27653\n32637 44184\n42900 44085\n43771 51735\n94941 96990\n65769 80929\n12723 99891\n62317 76682\n63826 94914\n6424 69059\n13157 75873\n23974 37931\n3947 51995\n61165 67826\n38941 51342\n19074 71452\n17149 64581\n9207 50114\n65436 75493\n876 62795\n17012 74537\n60769 82987\n26049 76661\n63620 89698\n40283 47660\n19297 79140\n10004 96786\n79653 94294\n12248 52915\n25801 92780\n53985 93816\n42290 57965\n9409 42390\n24288 79993\n3357 71158\n73636 84022\n86739 91629\n12677 22827\n42488 53313\n92295 98585\n52275 56633\n16656 46729\n33584 36971\n2076 46527\n4791 16923\n69041 83566\n40518 62974\n39419 86652\n44236 78215\n60632 80265\n51802 60112\n57459 87607\n28700 37779\n37055 87067\n14983 54299\n62565 67823\n30823 63927\n31773 39311\n28324 66876\n20279 72714\n87285 94212\n20956 24253\n33830 97616\n42417 75572\n26562 43666\n35792 94499\n9765 34847\n58708 83707\n36133 68920\n52587 57977\n10506 98864\n2439 38231\n3058 97749\n59346 84304\n12562 40899\n13839 78872\n38408 81764\n56271 62750\n14348 30771\n73986 78866\n26026 97100\n9140 36606\n13058 38092\n35231 69111\n14378 26893\n39648 89187\n1863 80876\n35395 68888\n54655 98204\n31093 64759\n24402 54952\n9876 73366\n86476 88744\n70369 91022\n21569 49061\n31014 63950\n53241 59860\n10453 88591\n11837 84930\n63169 91133\n34574 40621\n590 39035\n50190 76114\n22277 83792\n9777 82435\n12829 64188\n57474 70924\n7614 74950\n55307 66137\n1549 7096\n14638 32933\n21204 26233\n41981 48411\n55969 64352\n35937 59050\n10842 25794\n4129 39152\n31430 70107\n31842 70906\n6043 26752\n9363 84415\n23877 87056\n13611 99988\n21318 68696\n3163 95791\n49586 91977\n43814 54917\n82285 91612\n43906 56436\n61549 65452\n1564 47519\n52082 66658\n35468 42531\n7195 79024\n19376 59984\n21991 45192\n33126 84226\n47325 70177\n51177 82219\n51941 56760\n67623 90381\n76751 90764\n10324 48068\n22422 73064\n5167 46059\n11258 17660\n32441 43170\n35343 86577\n55959 96277\n13107 17920\n31042 76622\n32405 46676\n55374 76131\n85462 92954\n57115 68945\n82035 90648\n25284 80074\n24238 26690\n19526 83856\n471 46802\n6093 35310\n52209 77868\n5102 27931\n10782 35317\n46509 76873\n55264 66880\n34340 97727\n11523 79791\n36951 50590\n36050 53161\n18336 41358\n13430 63066\n70942 98533\n827 5532\n32788 36620\n37920 40666\n65379 66700\n36146 61522\n19047 47421\n21726 89254\n6470 76132\n82214 84634\n27952 39198\n24053 85156\n15593 61916\n21869 82571\n4043 53822\n1555 50114\n5102 54412\n19296 40447\n44605 71385\n56566 82139\n34485 94635\n51761 58040\n20801 28375\n52817 53408\n29934 39617\n28431 35490\n34059 65335\n43905 47236\n21226 33536\n8229 83544\n34219 98179\n5000 71113\n13698 91102\n3729 18633\n12851 97382\n76241 94954\n37787 87575\n2707 43469\n49615 80954\n69313 97607\n5274 24495\n20867 58649\n49723 68686\n14150 14265\n19413 31112\n29607 91491\n83821 95162\n45627 55143\n72679 98126\n55529 56303\n39930 68095\n69688 99791\n32702 89845\n6127 24188\n63668 63946\n1894 7770\n27248 61777\n32051 77479\n70974 80967\n81533 87949\n53077 74676\n11094 78256\n17706 29744\n46670 71268\n35703 84302\n49458 57820\n16732 92074\n66147 94042\n10400 65802\n10058 58953\n37103 70943\n68396 99072\n12353 25310\n56239 99467\n37206 82009\n68357 80975\n11434 67741\n26559 62789\n56719 92777\n33518 72565\n19982 65061\n8309 23503\n47366 47480\n45353 95657\n32663 39111\n27526 28168\n62557 74242\n57420 61937\n22096 65242\n46860 73989\n3991 66893\n54585 57295\n75411 84600\n35483 40410\n16188 91282\n45154 76296\n28584 59871\n9747 40053\n24643 81683\n29367 91919\n26279 91479\n7964 22819\n75206 78102\n62248 76859\n8346 55129\n3423 17091\n3790 71671\n55849 64757\n70164 78670\n16939 88242\n27064 98548\n40588 88949\n29131 32245\n84953 98047\n16534 63121\n7592 99899\n12320 15787\n40719 92961\n38566 49793\n38150 43365\n7715 34512\n11620 30671\n2353 61669\n3510 23320\n23021 44313\n17746 92316\n58363 83366\n5443 28111\n35751 43973\n8009 18504\n15720 52784\n62547 73593\n81568 89476\n1388 1724\n21571 25254\n40230 66724\n1776 48533\n2896 12778\n73342 80230\n30222 39478\n16080 70651\n29498 54942\n5478 8834\n11026 55404\n10358 18871\n34974 99194\n19808 83793\n9035 91865\n27510 43241\n46948 47969\n9443 24526\n53344 89914\n26011 74329\n50702 51435\n14587 61034\n69424 99401\n226 82367\n85359 99945\n4851 16569\n7887 66363\n27356 47358\n51137 71303\n1851 74150\n30037 43330\n43358 63225\n6264 69969\n26072 79772\n5143 27830\n19290 37923\n39719 94474\n18462 99499\n11051 55087\n16058 47900\n62526 76701\n51255 98858\n60460 71806\n42734 80241\n57976 70999\n11588 86159\n69796 73605\n2881 21913\n56654 70988\n30472 84675\n1235 97954\n29718 34028\n60037 94699\n65897 92700\n13138 65015\n6511 48567\n19295 54571\n32044 65839\n65563 73960\n43201 61435\n13794 67265\n38249 49886\n59846 66272\n84481 99606\n8182 43764\n66404 85235\n24821 65522\n24886 36120\n25729 94160\n57159 74649\n46207 51315\n51228 60758\n6046 47447\n15630 61782\n17138 20035\n17012 47092\n61421 63224\n20844 75477\n17552 80381\n4653 72947\n30666 57750\n17958 53345\n48369 68600\n73929 83387\n9224 50509\n6951 90884\n39819 93625\n18364 30157\n85682 93725\n23897 86663\n2034 34719\n36161 48887\n52565 80561\n25029 73108\n1921 49610\n2703 94780\n24808 30588\n64450 95415\n11181 31003\n47002 49248\n7682 49115\n37663 48883\n84840 91685\n169 11733\n23793 40818\n2509 97111\n83570 93634\n11168 48512\n26074 28197\n39518 50309\n9822 88733\n2148 31571\n27018 62650\n36813 76790\n10475 71722\n15992 63636\n9732 30851\n64546 88138\n18000 79878\n45933 58477\n17821 62862\n49143 72220\n63101 71279\n83988 87188\n3867 92690\n69000 70034\n8268 51963\n55611 60783\n65510 80531\n44502 60535\n46109 46743\n24094 61748\n19710 86672\n17201 71902\n19593 48647\n51040 79492\n2616 31935\n63555 72237\n5813 13174\n20877 44175\n7327 11644\n1576 8938\n63945 84702\n28180 90461\n14553 71732\n25343 57841\n47408 52820\n68560 96606\n30165 90539\n77327 97865\n18324 44953\n3711 40927\n8865 51732\n38782 59722\n35384 94723\n74772 84201\n56301 97074\n24486 54206\n52904 98086\n24316 70759\n36392 52077\n28606 74597\n15072 86528\n33979 79492\n40656 93504\n53160 91592\n71441 87952\n96504 98366\n31461 33008\n68978 87262\n11517 27963\n17441 95059\n32316 48047\n9674 48990\n50643 58113\n48613 85234\n51437 98826\n26406 57315\n1678 84118\n20327 29306\n66782 81771\n26042 53052\n29501 96253\n84246 88236\n9844 89711\n12833 14088\n44069 60866\n6465 60185\n15553 96224\n75163 96322\n90302 95377\n25702 57437\n26492 66889\n21309 89541\n77339 91238\n28629 38480\n66337 92303\n41142 87492\n25438 99613\n24618 97253\n32782 48395\n24819 78429\n20185 89575\n14159 94534\n40637 47747\n63791 70494\n35670 36370\n33041 66039\n52420 74645\n30166 42709\n27113 66661\n26806 97256\n11384 79725\n12643 97346\n54969 83591\n25058 51259\n41477 71222\n61094 65339\n12463 13262\n43048 88353\n37985 61091\n49444 61607\n34134 93519\n13205 87749\n45168 70950\n18198 82459\n2832 36912\n18831 58818\n48257 69639\n35646 38340\n10153 54568\n46908 82125\n14253 51728\n57892 93583\n74016 99845\n44667 78437\n703 31434\n2541 95410\n54208 62747\n10970 81557\n827 91119\n8577 82034\n62506 82311\n6633 72290\n6009 99365\n19150 78859\n4476 15948\n39747 71423\n11597 95262\n40032 53991\n62381 90409\n50242 99345\n37161 50585\n3569 76472\n44712 59531\n42144 51729\n72925 80342\n3885 7744\n16779 60931\n28354 93549\n86103 98364\n31258 59168\n4896 98716\n1148 5498\n35750 38403\n82698 91484\n21680 73559\n5217 91015\n31764 43429\n45223 71966\n12993 74746\n45223 76144\n49230 75126\n61284 99499\n2250 93626\n84409 94833\n17827 37387\n27692 65679\n22795 74765\n12055 28878\n33490 98720\n20557 82021\n21213 35035\n47210 74982\n50461 66385\n45733 68697\n70505 77951\n39664 62370\n13892 56136\n30569 85780\n24644 37754\n77634 88170\n16942 57255\n14703 51628\n10940 19128\n90759 97594\n8784 46876\n8786 60665\n9298 40264\n37648 88751\n40507 50171\n3054 69308\n70675 98277\n36957 45848\n55372 93238\n37881 42896\n4317 48216\n38177 79294\n27437 98174\n59411 79155\n3232 60449\n17154 40322\n5012 42704\n54217 69424\n8932 68977\n20726 70497\n76633 78636\n53235 81297\n53938 75699\n8440 59918\n50084 81286\n57216 88939\n52020 75814\n6814 76999\n52733 85278\n25527 49835\n35437 69316\n18642 33489\n47474 83986\n67596 68406\n2008 96380\n65037 77311\n74816 96636\n8796 51984\n19961 83968\n3204 23166\n18713 46628\n28425 77699\n24794 94086\n16802 29283\n11233 52517\n17100 18249\n4764 71708\n60376 89891\n25685 55746\n48578 82423\n2352 38930\n5029 91575\n37970 76774\n45719 55706\n18837 93624\n4452 50294\n60304 63059\n38942 55886\n9728 52488\n61236 71042\n27153 83960\n93593 94157\n75977 79473\n36628 37621\n50525 52257\n9294 76834\n25370 98260\n31983 65965\n45271 72615\n48819 68662\n50799 54139\n20455 79405\n24402 29164\n10929 39033\n62188 98837\n28353 30950\n2822 72259\n12076 42391\n12476 51887\n28496 80307\n24184 70209\n34037 55724\n2886 40567\n27016 40438\n32554 45366\n91208 94415\n6537 45293\n52329 64319\n24819 42756\n79677 87120\n58570 60864\n7986 46460\n29399 80287\n6178 86881\n62713 86050\n7016 94254\n1884 95246\n47341 98906\n62016 72761\n33072 72686\n3657 41317\n31101 78270\n9386 89246\n2823 89109\n25577 67431\n8974 58669\n14292 64392\n53128 99859\n4423 39727\n7213 34309\n73264 77376\n38633 58716\n7541 54362\n42627 71494\n17159 44921\n43596 69301\n20210 72086\n15933 31146\n15281 39438\n8329 64086\n7362 59901\n10135 31619\n47882 73417\n85848 97526\n33975 90788\n33053 51328\n26128 92695\n2937 12841\n984 46070\n21539 88774\n76708 92746\n68260 69723\n66863 95929\n21712 52021\n47713 85994\n11055 16505\n40223 84691\n51749 89731\n79603 96270\n46693 66820\n47054 61717\n13749 29598\n13791 77730\n32392 52558\n47515 96360\n67704 77637\n36772 49639\n22531 87614\n35470 80054\n10695 63103\n33482 51666\n73389 86404\n51879 71234\n10510 94037\n31650 38538\n78277 81469\n14180 65989\n45714 45911\n82472 91563\n23919 60912\n82043 85926\n46155 83618\n376 42716\n40396 85882\n14451 17303\n71308 97417\n57223 95952\n91229 97121\n44030 62791\n14070 29055\n16642 74460\n8446 94476\n29393 53247\n16220 84773\n9572 79610\n11272 79460\n50913 56009\n37338 86311\n7078 10956\n39495 67444\n33689 92496\n20863 26898\n24643 42668\n74765 76930\n55201 56724\n10692 25045\n14670 51366\n61558 94836\n57899 83418\n62689 97000\n74224 96694\n40884 79960\n26094 58605\n10717 50072\n62780 65247\n79487 99415\n72757 80783\n4697 15699\n9396 59003\n86536 93844\n30420 65381\n24148 71023\n29576 68082\n37748 80256\n41238 65061\n64179 71486\n5494 84658\n32736 78993\n4862 42520\n17717 25517\n40592 75944\n52832 86837\n29880 36484\n28767 61813\n6766 66329\n15804 91615\n97679 99007\n79554 91531\n21642 70806\n42334 54950\n24597 48215\n23742 71727\n33 77140\n32839 82302\n62614 95175\n15991 28004\n20634 27094\n15101 69399\n77627 94004\n24976 44684\n33560 99154\n33447 73073\n85709 93354\n22000 48506\n10660 48240\n57722 70528\n31645 45807\n15378 39493\n16343 59685\n39995 51759\n23272 89025\n42992 48029\n66202 91573\n36982 82153\n22077 83994\n68984 93791\n15205 72960\n39322 51427\n23331 32192\n66351 72289\n31568 76087\n6189 38459\n3351 63983\n76970 94076\n54522 79579\n86344 92515\n7977 83598\n51451 79067\n13044 16543\n2846 82351\n78770 96154\n55599 67809\n537 95223\n30031 66268\n23459 98657\n13051 85573\n9007 85001\n15362 85560\n5123 17374\n33124 82183\n41495 92816\n47342 78448\n10385 31786\n75669 89187\n53124 86108\n50628 93247\n6133 72638\n36328 98934\n41853 85645\n4923 75231\n19161 66878\n40248 71297\n14063 19644\n22808 27054\n30363 51268\n16517 40076\n8641 85224\n28817 60324\n72905 73492\n18141 72507\n22147 84150\n68985 94270\n13076 16950\n46090 67964\n79497 92950\n25813 38309\n22803 88947\n7072 50822\n71159 77601\n27977 96087\n53608 73543\n11991 75184\n15731 22418\n80297 99511\n30950 88769\n64999 87282\n15894 39743\n69779 77311\n26941 59623\n37759 66570\n54687 80161\n76244 94919\n4706 11776\n120 76370\n26122 59350\n35899 97890\n46926 64311\n11951 26422\n61531 82831\n72794 79808\n45390 79038\n35803 53868\n46696 85107\n49789 90673\n26156 64954\n31020 44856\n32069 56699\n9400 53241\n56756 82808\n15246 28807\n35055 39712\n24781 77339\n60425 73051\n56224 88506\n34540 68908\n30149 59749\n53442 59900\n53784 90231\n13516 62812\n27241 70802\n45500 92100\n22209 88407\n15144 37995\n39203 45893\n15179 17592\n60201 68166\n12445 52364\n18652 51630\n58922 78445\n32699 48919\n42756 71084\n6351 77489\n11939 36455\n53360 53506\n38981 50884\n54977 60746\n90022 91497\n22692 58015\n5918 16403\n25237 93694\n49399 56538\n41592 98213\n88649 89649\n30665 34391\n3774 54571\n1037 23878\n17170 67003\n10024 37178\n23423 90264\n34125 95311\n26082 36040\n34703 57779\n19290 44899\n38595 81643\n36988 67509\n6873 24608\n75892 85136\n21437 25120\n35670 93103\n12731 55647\n7103 27883\n16475 98050\n42547 76051\n83943 93112\n45447 66260\n16463 82302\n53645 74593\n83929 91398\n18477 99499\n18284 89565\n10284 83096\n4321 97239\n46012 64445\n50962 71675\n10794 53887\n16877 68364\n23077 41337\n18177 60051\n53553 57876\n76479 89263\n56382 57733\n15279 23471\n56661 57504\n16944 23625\n72825 74444\n1041 44200\n80896 83722\n17942 39181\n13512 44375\n92883 97943\n1403 11033\n78979 98000\n40825 83381\n27041 53113\n17397 79368\n11957 84419\n34912 96247\n75643 91716\n15322 73092\n32799 46540\n56022 75728\n65514 84710\n24694 63680\n22394 28732\n15579 70408\n19956 21808\n67700 92555\n52871 95651\n10306 37112\n19953 78475\n30046 59164\n50662 59560\n1346 60384\n11035 35404\n3739 14866\n74817 91976\n40091 64673\n31565 86099\n2107 41171\n20259 45818\n15656 86923\n22663 87734\n6106 26868\n14315 59094\n20482 27161\n1223 30433\n46007 81313\n15304 15995\n36231 46980\n3457 69355\n10905 48556\n42585 98803\n20240 73855\n30064 81377\n20876 62735\n22340 99127\n86135 96624\n21058 36053\n16870 18297\n19687 98391\n29706 35944\n12438 46982\n17849 34048\n26719 56881\n12892 70052\n14471 84770\n19174 26800\n37831 75470\n73983 96107\n16817 40618\n60735 73254\n30225 60038\n38870 82279\n33826 68035\n69528 76855\n23782 40159\n13980 43055\n20788 33661\n66810 98580\n17539 53529\n49579 85382\n4266 14764\n21895 51142\n23561 45738\n89178 98686\n22893 60430\n2484 14426\n34125 96128\n24193 27309\n10030 79106\n44254 60095\n23198 23236\n53838 96418\n30929 66835\n52869 98851\n14341 73211\n58598 90195\n26149 63697\n38566 97132\n52253 62859\n21881 31628\n35413 45168\n13178 19930\n55383 92873\n33265 83997\n62612 65832\n42018 96681\n68789 84614\n964 76050\n4706 63824\n3260 71890\n45631 69733\n75051 95983\n43934 75455\n48539 85325\n15603 30994\n36493 70074\n6502 81953\n52885 80729\n69170 88947\n55190 61831\n65181 98324\n84412 97674\n34529 73421\n34007 90235\n49800 62918\n42800 45890\n17808 69608\n22116 77693\n4087 28205\n24818 62873\n16109 82025\n63666 80656\n46547 57510\n65693 67574\n32438 66753\n40216 40624\n45465 99326\n57343 75336\n59347 95371\n24798 71171\n16237 46438\n24720 49229\n74642 88263\n53872 75883\n4944 25235\n51023 78861\n51329 61654\n23010 94723\n52534 95130\n2521 98922\n8768 58782\n86754 95770\n1099 3063\n77885 89954\n53026 54653\n21746 59447\n4345 25659\n47940 88876\n48215 67650\n32417 56437\n89415 89480\n37347 60245\n70292 82063\n45965 91388\n86453 89819\n33523 46280\n60268 97984\n12365 86591\n62316 78563\n17179 30189\n36226 97087\n2564 52826\n69126 70419\n41696 90466\n6209 55192\n73198 96544\n70913 88621\n31036 45255\n17903 56699\n66629 85049\n7200 8992\n11765 43562\n4172 12281\n20565 38032\n38765 43665\n40487 70796\n28253 91211\n8748 24981\n61254 89092\n37558 63969\n18786 83041\n21057 89232\n4364 96816\n22461 51753\n18413 56844\n24493 56306\n36842 64183\n53450 84385\n10190 75883\n14119 56752\n2977 38441\n10829 67182\n23256 51284\n6516 84610\n19693 59055\n57675 67524\n5860 73564\n36889 69685\n28204 58782\n14416 71547\n19055 74690\n25212 41465\n69280 85251\n10232 92027\n67602 68403\n13130 25562\n12781 87425\n55933 89068\n24017 38900\n9987 55941\n64416 83084\n5737 14460\n2244 7079\n2349 73509\n47547 92586\n43892 87470\n46411 92869\n69175 75295\n23182 39758\n60911 81158\n49942 89046\n52663 86570\n13143 45978\n47781 70245\n2787 42589\n33360 86713\n42803 50565\n10056 50229\n52725 79978\n19156 65956\n10238 60108\n23013 60470\n69326 81239\n57858 60069\n59957 86798\n18970 66515\n16832 70428\n43406 72860\n48579 65391\n51470 61252\n9741 55380\n29545 83738\n74032 90548\n71044 79515\n51175 62070\n24366 81713\n3265 21574\n35494 56422\n2273 46999\n53822 58628\n22989 97111\n65219 69579\n3581 25735\n21242 54566\n1924 4100\n27568 86387\n90077 91893\n32583 92624\n78034 95695\n34763 98945\n70803 85249\n65233 75771\n41243 41350\n74904 90762\n61877 67866\n714 11229\n41378 60883\n54927 64524\n56285 62213\n78224 88960\n6036 10592\n23402 41563\n7901 22964\n36494 79611\n75585 97000\n54339 58530\n47856 76673\n54384 59377\n38993 42435\n25330 75774\n61062 85337\n41171 48450\n46529 53137\n90 32659\n13227 54364\n31830 59284\n118 36283\n72788 89737\n547 80242\n34090 54175\n34570 67254\n9104 32962\n31814 44453\n41180 94802\n37326 50288\n29403 77503\n56388 76649\n56209 70211\n68703 90837\n44089 54704\n595 76933\n43160 99293\n72451 76881\n18782 36124\n52822 73635\n29246 38664\n34988 50669\n34598 95941\n30343 69938\n4642 70139\n42909 98629\n60519 65309\n80971 98947\n21022 97082\n7433 55502\n58904 98598\n18362 76798\n7752 95916\n4512 29015\n25695 91964\n26590 81474\n27751 28458\n993 55318\n41876 99012\n28683 36937\n48007 81667\n52979 76734\n41419 42940\n28220 44878\n3593 62205\n15500 74601\n35946 64928\n50772 67537\n50681 61775\n31610 32215\n27276 77291\n4785 18254\n49479 58776\n24775 79990\n18776 67232\n38616 84092\n51237 58124\n71 68839\n8283 37393\n84049 96910\n87581 89533\n11716 63379\n52363 76247\n2579 57872\n62597 91994\n53330 84059\n85839 96379\n2823 83305\n11060 54034\n17531 49780\n74208 89825\n77969 95961\n33165 92318\n33967 75123\n32083 37383\n27189 84512\n7516 89025\n37447 61241\n41758 72476\n27157 52637\n20770 91139\n4445 52483\n62623 77654\n270 75469\n70320 92870\n92679 96580\n28531 60360\n39970 62187\n18254 77164\n7752 79449\n53596 67173\n27875 33716\n44536 73452\n10023 59246\n40480 91222\n12000 30298\n36050 45411\n53711 98332\n46044 59620\n20261 88566\n14676 46571\n8830 27852\n38814 64862\n23202 89992\n32283 97656\n32948 44697\n89598 95478\n18582 68192\n22295 24976\n69793 73202\n2053 19035\n67006 88713\n27950 74021\n26621 88944\n34907 94458\n29065 98622\n15476 28985\n18965 41756\n42900 69350\n34775 85891\n40076 94751\n45245 85317\n23973 34060\n56351 83368\n69829 81524\n35710 93727\n9737 99153\n9398 92828\n55130 85698\n2785 15248\n2636 5226\n11471 47794\n20231 46742\n29383 67048\n61013 92428\n32539 48702\n23615 41098\n22654 77684\n14622 21091\n10227 36937\n11463 40316\n68469 84208\n70191 98380\n5929 53978\n12382 20288\n41045 44899\n5070 99289\n32786 90899\n14211 79396\n6603 95207\n72825 73500\n44540 79369\n19369 93882\n52583 61421\n6004 74706\n3911 21087\n15786 75288\n4066 66851\n68980 86405\n7090 13066\n53627 92940\n52880 76301\n75834 90012\n7380 82024\n71982 90516\n16036 43814\n59579 70667\n79305 91568\n38069 85607\n14677 42678\n50773 69295\n7215 43278\n40056 45842\n72673 83005\n77059 93925\n23987 87678\n11916 59097\n78811 92364\n82286 95845\n27869 52279\n3047 53395\n31623 96210\n14222 50840\n69354 90921\n15521 19337\n5710 48092\n32326 49221\n58073 96449\n11415 75964\n7714 34223\n20255 36361\n36645 85965\n19652 64337\n79828 84718\n63455 91630\n17419 59069\n8793 20213\n32797 60326\n46726 98364\n47660 52379\n73542 90272\n45450 60268\n6142 43690\n9538 41169\n8032 57889\n92518 97543\n6915 50268\n11001 71449\n75828 89037\n44317 68332\n22554 37947\n2811 39330\n4345 89191\n1466 61141\n25173 72862\n60338 79423\n16858 54478\n5644 81785\n43360 84033\n24461 93020\n18100 82074\n75384 85122\n207 78205\n22685 25656\n21425 66573\n991 76624\n22706 23610\n51692 90081\n33539 37358\n11202 37966\n30622 57177\n17770 31707\n24699 35082\n31474 72405\n595 75489\n61311 76240\n26238 95377\n78239 83243\n27385 28574\n82676 88514\n9800 73502\n54881 75001\n20869 75386\n1476 54039\n40345 52742\n18483 59202\n49428 50252\n45334 74052\n34799 92753\n3072 7592\n4193 54350\n67743 90960\n70188 91666\n36329 89291\n32884 57430\n61702 78744\n35442 63887\n32477 35008\n17832 44956\n19910 77990\n63452 81098\n78933 86543\n55392 57306\n600 45659\n25215 56442\n39610 97733\n192 94674\n302 3740\n8859 55931\n51220 72077\n2014 35176\n72043 83532\n3499 6180\n73 97550\n83807 94115\n11336 52494\n10646 26991\n7574 63826\n87 65418\n41930 85987\n51043 77883\n21715 48157\n12610 68753\n28968 50212\n19859 37902\n7549 16816\n36589 68153\n10456 38926\n24009 30270\n80128 89313\n32837 46130\n34261 82116\n97790 98809\n23272 96613\n352 62098\n11019 94715\n27564 54923\n49034 79301\n36024 78527\n58571 60325\n49414 70263\n14600 59833\n8344 29656\n65011 72507\n46993 64626\n39158 48015\n4985 67385\n42676 85252\n13761 64571\n50643 84324\n15699 48997\n53401 85448\n30693 83865\n40771 49218\n42813 60556\n24409 40043\n920 90920\n2355 37723\n12799 32779\n7893 80521\n30856 94794\n38650 95318\n21724 75686\n4180 74123\n35223 45936\n31229 95721\n5282 26007\n13871 82458\n12230 21210\n12369 48478\n6163 9175\n71838 81990\n9136 47826\n28665 57764\n14305 49637\n199 23295\n19843 75433\n39723 68363\n89597 94098\n44250 94370\n75287 98402\n8678 66283\n22776 43997\n46201 59832\n35100 57532\n17602 93778\n25702 48422\n41457 47457\n32104 55707\n3149 3371\n8219 38341\n18370 28060\n3685 5844\n50777 92163\n43695 72141\n13021 88847\n19194 78175\n4531 4824\n55713 59493\n47338 68447\n22081 81978\n58546 59316\n69554 73294\n64980 73110\n21658 86687\n16440 58674\n9755 82150\n24855 70232\n15404 84229\n70048 89230\n27453 53713\n34178 73669\n16134 55319\n39943 58356\n14977 45449\n46104 93496\n7719 11981\n3178 95362\n12182 33094\n73347 83314\n36316 47850\n3069 85249\n51340 83816\n9042 65634\n76764 97546\n27131 99839\n2394 38161\n11730 91160\n70213 98793\n5077 35553\n18327 32629\n57710 68328\n48709 92091\n8149 28697\n58672 70805\n29058 55076\n29178 84366\n4548 33021\n47491 91941\n18377 51613\n50753 55134\n39289 78894\n34775 66164\n51946 83462\n71082 74218\n9767 62386\n2270 46267\n93067 99000\n39676 91031\n27099 75660\n47485 71449\n6146 52835\n3090 43037\n14327 41563\n48500 61781\n5361 65295\n75726 86368\n42088 98223\n16022 20506\n40770 87063\n16566 62921\n56229 86687\n72005 98413\n4623 98549\n79630 97043\n57135 60749\n50380 75387\n6725 94804\n1089 86881\n33970 83862\n59375 81990\n58942 71594\n34203 64860\n2927 56427\n25310 94946\n36421 50444\n56950 59415\n1705 54023\n49645 49910\n40577 60361\n3388 24303\n19236 53189\n1128 7222\n26959 64720\n49668 99700\n22395 87299\n9273 83495\n446 82335\n8955 39125\n623 96671\n77327 99222\n14850 31802\n71096 76939\n52644 67700\n42271 71636\n17691 89739\n11549 30237\n4036 37948\n33990 51388\n12270 22244\n22889 39084\n55258 94701\n26686 59506\n10172 31496\n64415 75797\n25849 95440\n27545 34522\n83955 97768\n53181 79090\n1463 55220\n14529 45695\n20450 82259\n36391 70978\n19491 62298\n12919 84944\n52153 93815\n46143 91288\n68672 85503\n62504 67175\n5715 58011\n3997 56545\n27139 40269\n47564 56690\n51218 56538\n45729 66441\n9920 33809\n176 52442\n49696 65251\n42391 58481\n30798 31234\n10570 25140\n77182 99368\n34986 85565\n12266 65684\n92500 99785\n40679 77175\n21670 70364\n63333 64570\n14779 49014\n56091 86013\n20718 28303\n32342 34662\n79534 82954\n14915 54730\n44905 91119\n12069 41400\n21147 53924\n18182 45915\n20659 25047\n37100 80144\n51840 61431\n29697 84111\n36534 70304\n47099 53728\n69026 92542\n9572 71524\n14227 32104\n20265 89889\n24357 56188\n62249 86339\n10938 45355\n26451 84935\n29103 39547\n10615 91761\n40437 99942\n11854 20003\n94287 96287\n35947 48579\n38300 95504\n55012 74683\n9066 33967\n11835 97512\n13677 16157\n71020 86858\n5910 43844\n15845 84087\n16648 62537\n15950 88354\n47682 80998\n9569 96787\n8764 28947\n72491 98510\n26205 93500\n48055 61486\n15230 33675\n65513 66235\n72393 94595\n15945 22371\n87573 99937\n42706 80326\n8276 57898\n62905 84568\n75847 81081\n48179 63124\n12712 73661\n12719 95306\n1674 27443\n22103 26694\n5654 15558\n81124 95310\n13146 40590\n25296 94791\n16762 22843\n69911 90270\n26717 35051\n62117 68580\n45611 84621\n10784 79603\n42542 86020\n29606 63014\n72140 84958\n22095 96238\n52540 83742\n8495 57906\n13253 14150\n29142 73855\n4139 71470\n63114 86577\n33367 78229\n3805 83660\n32939 35748\n30744 92502\n6103 69814\n22475 39676\n83133 83782\n42888 65636\n38613 42292\n7917 49393\n7353 70021\n79851 82838\n30072 69227\n10157 83501\n24959 96809\n47127 90812\n32885 54076\n50205 97419\n20800 63079\n28947 59045\n37506 75550\n91925 92316\n60388 92045\n1121 44706\n55860 59196\n33307 94750\n51200 54568\n48080 82677\n15686 95147\n17396 70819\n11373 92572\n72261 93418\n2931 18158\n144 90677\n69909 95664\n62538 75480\n5329 35073\n6019 60356\n44253 65571\n39871 74460\n77186 77560\n72590 73517\n74651 75505\n44861 83084\n7817 43239\n54302 57677\n26280 85901\n51252 96482\n78295 94198\n13567 46686\n82289 88447\n41758 60857\n17072 95839\n37628 56615\n35980 97542\n59120 68844\n75732 91804\n36412 79969\n53251 60334\n2076 14221\n93704 95496\n35426 45235\n52230 57830\n18357 61099\n12183 63288\n2889 61127\n90905 94271\n55037 77201\n51712 71667\n67171 88580\n2751 25274\n61401 79365\n7043 81707\n1813 76079\n25008 36755\n16830 77553\n59631 77832\n54230 74653\n55354 96585\n3073 46826\n46674 74950\n75052 98381\n13743 79446\n25213 84104\n52879 98911\n31431 82902\n31354 38992\n46720 63853\n2584 29739\n13248 70857\n65283 92911\n95267 99046\n5175 99551\n32188 45100\n34242 94944\n15573 21511\n46821 54738\n74366 85770\n27630 80353\n62439 97444\n81446 91530\n94143 94233\n44826 69110\n2241 65849\n28475 68085\n1087 16497\n23663 87598\n16351 36763\n43935 58777\n16537 39362\n5035 7410\n40581 73698\n53665 85203\n399 19357\n84146 84776\n30834 62894\n4722 98881\n9536 90715\n34323 58386\n9267 61199\n44626 92067\n22292 71489\n22988 81957\n27649 86186\n47027 64654\n2445 68323\n9042 95658\n52035 82581\n16042 31148\n50612 84823\n1888 84107\n903 1116\n25913 60798\n15555 54650\n23023 45724\n61164 85356\n12737 99371\n57813 94394\n9360 36587\n17716 51217\n7249 32453\n50059 59919\n71854 75762\n28305 93071\n14169 34673\n32276 73936\n17707 76269\n66413 85564\n26169 95325\n17820 38085\n44125 64194\n1970 20151\n29951 94842\n39341 64136\n67732 83950\n46576 54695\n42208 63490\n42064 44040\n60849 95664\n21332 41673\n31094 97416\n33047 47501\n15364 92391\n10694 13679\n19402 69581\n36388 69798\n13723 77107\n45417 62735\n8738 77453\n5004 8361\n48920 89882\n42754 43941\n20163 69304\n58052 85522\n88918 89476\n11704 49704\n12169 82311\n7085 66828\n80257 98579\n21598 67471\n66299 82366\n4893 70701\n62784 69789\n53067 57672\n37964 70865\n57164 68481\n22190 85397\n21954 78060\n29028 52463\n41930 81933\n13066 34862\n56327 77984\n14589 31360\n62077 90919\n9052 17479\n22588 96775\n62360 98977\n31449 92227\n59177 96724\n37527 98085\n5382 97522\n36771 46793\n10336 22924\n73134 95447\n68321 81470\n10849 49945\n19483 50730\n86983 94017\n26994 88039\n2279 33606\n21447 21915\n21955 29344\n63432 69411\n66143 82185\n50787 85296\n27611 41559\n71555 98819\n71458 71650\n25121 89550\n2952 48011\n76256 81550\n85095 86997\n35274 50611\n36355 77705\n79373 82586\n43529 94918\n53801 58874\n4606 82097\n59434 63181\n40065 72109\n17698 75346\n17217 21266\n50632 87878\n51119 80765\n8686 54428\n5457 29310\n9702 23248\n17708 98237\n19539 34679\n11771 77626\n46099 48426\n26 41784\n2266 16418\n41746 53450\n41744 80133\n52919 53479\n44014 53449\n58675 94475\n40359 97973\n23038 98439\n6771 45356\n39921 49709\n16699 57185\n669 44998\n26659 55739\n18264 20385\n1969 2246\n27734 59165\n29707 90730\n50849 87235\n13974 78316\n30283 32985\n13831 98699\n700 56396\n17439 71986\n54214 95626\n58104 94862\n6610 63266\n1924 16236\n41406 64305\n59323 80450\n26920 66615\n4063 31432\n77226 93575\n52255 55681\n59866 65328\n32224 60869\n21277 74513\n81224 89772\n31262 60290\n12938 99958\n56940 63113\n59941 74257\n8610 36243\n12409 44306\n29635 56630\n43072 43280\n1188 74127\n11355 29519\n53173 79135\n4731 42308\n25528 50238\n27587 91505\n73664 91174\n62452 86717\n39810 72846\n5418 61832\n54527 92971\n7558 86153\n24736 52373\n48430 49505\n4305 75359\n53658 62329\n41440 50090\n69227 70791\n195 47502\n40347 61880\n45842 63410\n88274 99744\n27666 47444\n74796 75062\n51749 74711\n25861 82478\n13506 44420\n10544 86704\n63841 92682\n12070 27613\n15599 75397\n15986 65925\n88743 93023\n4700 17189\n12528 13399\n22972 90639\n36519 48705\n37313 54782\n17185 95470\n37733 92405\n3420 8528\n22676 63496\n8239 52276\n20221 65528\n17850 59244\n10215 67326\n47128 48815\n50416 85556\n61785 83650\n65093 94877\n11922 36092\n24802 74392\n3304 46295\n41519 89591\n33776 98443\n661 2558\n96735 97633\n12856 68408\n50563 98853\n26090 55188\n26960 83038\n81651 89701\n34870 68301\n39212 81570\n71682 92801\n18490 26167\n22431 43549\n59189 68380\n5174 82805\n20692 67943\n62492 89496\n25779 64776\n56992 57402\n5810 51578\n66344 72026\n29014 40346\n25739 60245\n44840 94005\n4502 52099\n43536 69060\n3080 54577\n34481 99505\n79350 96632\n17242 79867\n53602 57560\n81436 88861\n14146 75022\n20677 32832\n52763 81039\n55198 87364\n59156 85562\n23014 70621\n5457 39595\n16115 22182\n31262 37967\n27410 58799\n25505 62321\n48223 83142\n5012 37120\n57166 59194\n17386 81303\n12924 83524\n22344 83088\n46893 68968\n10936 55528\n18614 85723\n28020 93277\n68690 74729\n47858 98016\n43509 90196\n83702 96006\n6792 84978\n3730 49224\n34807 76904\n89000 95435\n10266 88913\n60638 79621\n75060 78118\n51761 70841\n38317 50519\n22314 99042\n56032 56751\n13905 84164\n55947 92095\n39449 42454\n39026 69880\n51476 73347\n10276 23899\n22095 64500\n9215 82447\n31976 69551\n31127 98716\n729 58237\n15236 90109\n13669 84474\n33006 43735\n28079 30668\n55064 88478\n16593 33928\n29815 88321\n19788 47211\n7160 95646\n47994 62938\n28372 81568\n41233 60511\n26774 44959\n49581 84786\n20674 38616\n52060 73273\n8654 59778\n41814 69251\n71547 71955\n52808 64776\n54059 86490\n8236 76110\n17622 45383\n2242 94978\n1748 6867\n25934 46718\n39439 86017\n33274 69833\n46127 71003\n49165 92081\n51478 62411\n39754 59255\n61338 98389\n95262 97302\n87447 87779\n53129 91125\n43891 76365\n30392 98485\n30689 55059\n82572 99357\n61403 78260\n66283 68860\n24417 44250\n4992 63568\n36884 67673\n18713 74905\n44856 87400\n17359 88849\n71406 99509\n21246 73658\n59380 68175\n5735 17247\n9344 81303\n31878 94677\n3378 63145\n26209 67816\n9378 92205\n30047 68213\n58478 81218\n5229 51362\n27659 99958\n8839 52549\n21520 29066\n86860 88890\n42701 84464\n15201 29138\n86975 90611\n58564 85955\n19541 27879\n4222 62153\n82964 96080\n38821 88484\n1006 12682\n35040 79557\n28905 83155\n9867 55876\n24966 82931\n19436 51781\n9934 34180\n9404 33617\n34797 88619\n77452 80513\n12494 38387\n17638 65697\n34501 88424\n20868 57143\n434 28688\n73892 92324\n10938 44556\n35511 86327\n2269 37964\n56979 61858\n28545 52676\n17763 54210\n7928 25253\n76821 77224\n61594 93770\n19171 69312\n28201 80266\n11790 62640\n39782 65403\n50376 66079\n18407 90224\n1391 6577\n40043 51410\n54545 69710\n51668 81798\n46512 61782\n15673 69001\n27537 28546\n5301 11346\n15674 46271\n10410 48322\n17857 28527\n39927 59593\n736 71982\n30262 42939\n61604 80648\n65918 72008\n22292 23760\n21324 39346\n55294 79513\n10283 89174\n58684 81888\n15486 31742\n29786 36863\n556 66972\n54180 58791\n88740 89972\n13766 30621\n6298 77274\n31693 69420\n54233 68419\n64845 87621\n20273 96522\n23831 46094\n30933 75741\n52535 79312\n67685 71324\n25920 96956\n18751 35235\n17987 19593\n2495 7530\n27637 82173\n75344 90195\n8791 44752\n7292 94529\n63042 94967\n65329 68973\n93862 96808\n23161 80244\n48081 68471\n39554 48646\n30958 38488\n7740 43933\n14181 17787\n20758 91179\n33888 47067\n55359 99002\n20519 94362\n35869 56051\n27311 97613\n77493 90097\n626 54816\n46526 71174\n73616 76009\n49511 79116\n42005 74734\n56453 73730\n43760 68459\n42297 77405\n6792 37628\n65327 66819\n18915 60374\n46414 86858\n60122 83127\n68735 85585\n21928 39189\n43682 88423\n49366 59327\n64368 94077\n27437 99036\n14746 87735\n25816 53324\n39617 92244\n88 50939\n9090 98862\n61936 84506\n5014 32779\n78506 98422\n7232 32801\n54712 55868\n1967 53922\n14296 77154\n8156 44592\n64141 70110\n53797 73687\n55180 56421\n26861 64284\n34802 51838\n58724 96401\n4794 35522\n8886 20316\n19167 88115\n42310 69596\n10168 97770\n54345 77682\n35899 50736\n11025 73313\n36360 99990\n13602 22003\n66864 99489\n22987 57315\n45628 52569\n22539 96522\n32517 64957\n2494 37525\n9866 73575\n10321 92073\n880 47008\n14588 28945\n65646 77212\n49005 60092\n11524 42877\n15663 80350\n12566 87197\n13478 30594\n43472 87705\n50514 54826\n5933 66453\n5981 19559\n905 61132\n58803 66784\n3732 75597\n41316 46358\n56667 82804\n23252 26599\n42126 81404\n23043 86579\n50565 57499\n54858 77571\n23709 44025\n5532 84826\n41365 89163\n8149 9014\n51390 52026\n33525 58826\n72904 73548\n63365 63623\n75164 86164\n28960 61032\n31379 84078\n22216 57251\n58339 93051\n310 26906\n30852 35829\n50635 65113\n82581 95547\n22395 94481\n8005 84879\n69496 97277\n2386 65965\n70890 98136\n16497 36742\n47966 59547\n4013 63502\n26107 71244\n12118 14902\n57838 84237\n89398 95782\n37225 51658\n5898 85928\n41469 92194\n43366 64056\n493 18037\n79360 97835\n2777 37198\n46407 66602\n23282 88166\n62071 90395\n21719 75762\n39144 62534\n83335 95282\n69966 96079\n35940 86385\n2953 17886\n17122 54956\n38429 85378\n30186 75208\n21139 93420\n31953 64212\n22896 59145\n18234 98271\n21162 22834\n64303 90557\n24599 32328\n312 12991\n46730 79663\n20982 42358\n20195 32481\n85719 99028\n21065 82274\n2588 73513\n11433 16757\n272 64726\n10155 63992\n66946 97098\n43992 85389\n15299 38663\n55583 57686\n82702 91854\n23172 71377\n34581 66851\n37607 75731\n49647 51039\n46537 88781\n469 70705\n36665 96170\n64283 85270\n360 65627\n30687 72314\n40929 43884\n83094 98751\n20346 70155\n96188 98500\n20191 51341\n68381 91119\n16407 92897\n19911 40036\n24681 78272\n3951 41147\n52353 99979\n25912 99614\n5929 51014\n86919 99814\n22956 53222\n45500 66316\n8110 75376\n6566 87888\n31680 70901\n69384 96067\n33094 49899\n45656 87246\n39222 75161\n25602 44577\n6124 73561\n89713 99537\n22449 49414\n29253 39014\n69822 88913\n51175 75188\n3561 4487\n67798 90093\n62972 66069\n17934 34037\n45320 86024\n69116 90037\n36777 86510\n2016 93534\n84499 85902\n15970 61945\n29198 32546\n73665 91531\n22984 49410\n49100 62786\n29709 51024\n20830 80433\n85502 94980\n81409 91199\n78304 96031\n71015 86512\n19800 44139\n35052 56363\n8623 24482\n34473 55432\n65148 74827\n91398 98905\n7006 36779\n14705 21563\n35517 64168\n73047 85273\n53336 54234\n36085 56385\n3247 92493\n11882 27173\n9552 54399\n7593 72713\n17363 42251\n45732 85479\n2510 73211\n5637 86920\n10913 85717\n18707 50154\n18620 63580\n71035 82222\n26090 26319\n24105 38147\n17759 71278\n6988 68750\n15034 71962\n62109 96545\n47056 63029\n7944 89981\n29311 74359\n40135 43914\n75034 80170\n16970 17399\n65630 97348\n20792 47228\n14705 17503\n25368 84014\n32100 85257\n13939 27596\n25417 87595\n34390 95062\n41836 97882\n56365 58438\n4270 50306\n29320 45790\n42773 44157\n37877 44349\n4954 22738\n50329 51221\n31750 54470\n48539 83488\n82404 96234\n10631 54682\n22023 32913\n82502 92092\n49680 50236\n29462 88775\n65145 88902\n20903 80742\n51097 52134\n24422 61849\n49383 91810\n23005 34250\n75878 76031\n21707 72615\n16720 18700\n31156 63246\n27098 31896\n48043 86955\n7030 10590\n17134 98082\n11910 39115\n27070 74230\n4383 49723\n16255 47625\n19057 30631\n299 16995\n3404 32942\n86336 87315\n10532 65163\n10308 42131\n51478 92342\n38608 62291\n43456 48280\n66085 74495\n41050 50214\n48217 69502\n51091 84447\n40621 70534\n61742 78647\n48197 74777\n8613 68258\n38865 96848\n49639 80929\n33946 56694\n20612 56189\n8070 60447\n54736 90981\n27688 65564\n40706 86166\n77209 80177\n8841 74606\n16307 18063\n72296 96096\n64961 93343\n31759 90513\n8450 36294\n14233 83995\n8926 26753\n5480 25648\n9982 77869\n14120 31236\n32541 43495\n60442 83840\n11403 51346\n31365 34740\n45265 65673\n37192 43872\n15230 18186\n4093 84212\n69104 76907\n503 56379\n37707 57104\n82176 93991\n3471 25819\n88788 92437\n62033 65258\n19772 90263\n49115 57446\n17933 92316\n9367 99979\n12666 66563\n17911 46977\n44103 72179\n81492 94092\n31155 81395\n30739 95230\n14814 21013\n30481 43366\n31951 53622\n23738 63201\n42882 65627\n45342 86991\n10013 20253\n80748 83186\n39280 91020\n28091 82791\n200 36260\n75002 87659\n87218 92172\n13958 42277\n50828 64157\n4812 14096\n20165 51121\n16268 40640\n18324 59706\n5434 74300\n24860 47918\n38530 89003\n3728 79905\n1907 17112\n38310 43442\n19832 91531\n10496 74749\n54082 63385\n4536 56041\n16236 64098\n18382 36656\n20430 99291\n1735 10221\n16328 52748\n50408 68167\n15892 57723\n85409 87247\n17345 98001\n25810 43133\n43869 95200\n44024 54372\n49886 75516\n56262 60542\n7655 11767\n9554 62147\n257 68476\n31476 64866\n62155 88785\n73356 88491\n18936 19759\n38345 38588\n40502 49889\n56180 75052\n37629 51076\n19294 28546\n47042 71516\n30957 38461\n65167 82803\n90083 92656\n20256 49640\n19818 61421\n7610 51473\n24434 54543\n7412 38771\n65329 83878\n18576 50228\n58220 87532\n24688 36548\n2415 77386\n59992 89052\n63591 89501\n5602 38002\n19480 45632\n51049 78409\n3118 69112\n37070 80262\n75986 92674\n60051 63805\n12379 48594\n3120 10641\n72147 97884\n27361 39429\n61200 75861\n63265 63717\n81463 90903\n35283 39815\n20716 22227\n19667 24088\n30297 55181\n92308 98688\n7779 12235\n28467 38303\n44449 60581\n23375 25922\n11521 63908\n45009 67593\n34220 60291\n56043 74965\n2120 49595\n19239 24772\n13697 24831\n16047 34171\n65819 72279\n18249 64823\n1844 15306\n88784 97258\n1957 64180\n507 71786\n13215 38330\n10315 13181\n5099 14344\n29822 31687\n67565 84425\n18839 35606\n78979 99112\n14024 34699\n69944 83977\n59545 99273\n33948 38052\n26517 83046\n51939 78250\n32561 80207\n44049 98379\n56909 78726\n51371 83230\n56501 62241\n49051 72948\n23545 94476\n96297 96823\n21398 55068\n22791 88374\n26879 88670\n8088 18814\n25399 60859\n59382 60815\n48565 87470\n49777 89001\n6754 62297\n12458 93496\n10542 41480\n62656 73592\n55365 74787\n58784 91019\n53746 83393\n54733 92178\n79312 91316\n38937 65483\n20757 48250\n2862 88405\n41234 54032\n42589 97874\n15588 30550\n63141 68383\n78842 92827\n46100 87625\n5123 21411\n27812 49143\n37541 58206\n58242 95945\n30847 41253\n48102 89464\n3171 5170\n34688 70251\n26721 44901\n4347 66679\n4548 39246\n5921 75230\n34991 39141\n68792 85498\n18070 45868\n70856 94833\n25191 85468\n48070 68676\n1444 91858\n1977 15038\n8159 72748\n4188 47391\n53902 78366\n9610 76441\n80078 93040\n46583 59712\n25704 56726\n83094 90054\n17108 89209\n13774 61047\n69017 86431\n33928 69978\n33119 52630\n11560 34379\n77654 82213\n35811 80601\n41760 53030\n34763 71396\n28587 44528\n12661 97870\n12558 14355\n48137 55008\n18024 83276\n59882 60148\n44754 51098\n14394 83771\n5213 30320\n20130 22824\n24512 27042\n70323 82209\n60150 94625\n50498 54884\n34181 61960\n55581 89443\n18646 74262\n43905 83862\n22895 25671\n2218 40615\n45692 62331\n18876 84890\n35849 94365\n65035 79591\n57099 74564\n17184 64399\n52999 92577\n5755 61454\n76266 89838\n18128 61940\n12822 41465\n52462 86452\n57251 96290\n85668 89037\n18267 65424\n84152 87606\n19202 83566\n70901 89593\n29113 31319\n29027 60350\n65018 97070\n15980 54127\n27530 92100\n8230 28788\n50589 87426\n6013 70205\n50520 85946\n82381 85065\n19622 92379\n19773 64878\n5126 9584\n42059 62609\n1506 21343\n54087 92939\n39187 47631\n67215 80816\n46695 65381\n4817 17160\n20847 76887\n70621 96065\n42431 48154\n43027 95862\n21113 39510\n63049 82872\n33817 35046\n51570 95674\n15519 50939\n14893 81026\n4890 47777\n29442 70197\n74349 99091\n73002 97754\n30845 34981\n3780 60893\n46194 61840\n2952 86013\n21867 48978\n28634 42757\n11380 99551\n35813 63072\n31338 47820\n59554 80406\n36604 69392\n8995 56321\n38178 86550\n5578 7271\n17236 46875\n14406 64628\n26079 45202\n15232 88293\n18777 21577\n44955 57255\n42999 94682\n591 39385\n32633 79235\n2868 66395\n38169 75034\n15306 35223\n58293 67006\n71154 95539\n36532 77722\n39250 65323\n75654 89485\n1367 7293\n21611 23190\n74886 95055\n50552 64936\n45766 69365\n14992 30525\n44632 74700\n36630 87406\n68344 99265\n17166 64788\n42420 71024\n72169 93092\n29204 70050\n16784 25032\n12800 53695\n10751 82169\n23064 78301\n40786 57838\n1720 82956\n28724 83749\n83488 89357\n71703 76705\n38669 73282\n14112 18997\n34843 47227\n74580 88129\n407 801\n46553 60068\n40347 53753\n61628 73018\n3095 46613\n32582 79186\n16274 51826\n9250 67562\n50021 58944\n13021 72500\n38327 78489\n44101 74005\n51815 59038\n20968 49755\n24711 71844\n28421 73393\n14642 62325\n20054 49964\n64594 83861\n7942 99522\n19962 92103\n77339 99189\n2691 62427\n57212 69182\n67520 88714\n12504 68960\n24575 45819\n17080 81894\n26445 90542\n71290 96876\n24223 80966\n27029 74284\n25232 65134\n63435 65349\n78167 79635\n60635 83606\n16732 43408\n13721 44806\n31417 46195\n19313 99416\n3318 96369\n20350 47789\n46628 51596\n20617 45650\n7560 93733\n42260 71835\n63088 80226\n14049 93061\n84327 98722\n22848 83154\n92938 95301\n7532 41196\n57717 85896\n47058 81421\n51207 59296\n4050 98455\n3966 69688\n17664 96018\n53438 73440\n60382 61736\n8324 52534\n36718 66684\n6941 24522\n74447 98685\n1845 27228\n30317 75040\n48063 93795\n53023 70702\n34760 87037\n78881 94068\n84531 94637\n32592 77271\n66176 66959\n21183 74220\n75811 83254\n18674 22726\n68438 68933\n14902 19833\n55415 86332\n74600 98952\n5332 87203\n2337 25253\n51120 87439\n28996 78172\n8271 61535\n43737 60340\n16138 81982\n8665 27553\n45764 52757\n61964 68235\n47276 78081\n60487 79159\n50475 56596\n53182 83537\n64389 80274\n74566 93510\n53994 71910\n22662 79970\n18409 71162\n32826 94139\n29634 77869\n68112 75047\n37114 60907\n15574 58158\n9046 61579\n42954 45621\n25221 89283\n28439 60389\n30488 65984\n8465 30400\n3780 52442\n9775 93514\n54887 60118\n79235 84061\n11565 46649\n20081 32757\n2150 48291\n79476 84044\n3489 19097\n10480 12446\n34293 50926\n13659 94587\n96234 98849\n17848 59276\n4573 41217\n29173 54172\n6157 15901\n32438 65467\n69908 85787\n73082 78731\n46111 53265\n10477 16755\n23498 77549\n6961 85011\n15570 33929\n16790 47187\n13372 49520\n21668 45520\n54874 81277\n24266 56697\n20434 31421\n33738 63208\n38529 86607\n33458 49416\n10701 95896\n12736 55968\n9616 90730\n44919 71941\n37357 43856\n38563 93572\n43214 59493\n92759 95479\n32107 98118\n51831 61008\n49391 85329\n90295 97428\n57748 69257\n66974 96873\n17742 34626\n22207 54621\n1105 34902\n81270 83613\n46107 55125\n32025 61581\n45966 99286\n30314 76652\n62389 77743\n6461 48660\n20417 38336\n18098 83451\n34195 77344\n33359 86522\n13200 48299\n29801 58460\n67939 89583\n78039 88812\n2983 72449\n13606 44589\n61335 67236\n45672 59742\n80140 85740\n77979 92097\n2251 63565\n14859 99158\n37423 77545\n63247 93680\n69064 72156\n9339 60395\n49596 73214\n53341 96118\n46828 47641\n579 37487\n75978 76346\n15108 47731\n86525 88789\n21767 84056\n31519 88186\n29889 90819\n69515 80782\n41072 43030\n49261 67426\n37602 74889\n69753 89621\n71501 85688\n23329 36034\n29511 70019\n61401 84007\n84791 91217\n24513 84642\n3288 25042\n22249 70836\n35933 85161\n24704 45471\n43841 48426\n5968 22626\n23242 60777\n15520 90233\n79849 99178\n69253 74176\n2494 85012\n14450 84888\n49779 63781\n17099 97204\n743 36712\n3305 95284\n48755 87345\n22634 64078\n19433 96896\n23587 57960\n57706 88211\n23559 84301\n991 5137\n4140 22630\n9410 18582\n39456 95666\n92937 95748\n83329 85015\n3702 14182\n31831 96019\n9682 15131\n35748 64574\n42490 77894\n26100 33891\n82300 88852\n6062 92060\n36144 92123\n66685 93599\n72871 80035\n63034 80410\n5410 82929\n34341 96221\n41524 58185\n10137 95438\n37353 71374\n19067 97725\n47550 51790\n7328 36112\n7751 87113\n64821 80677\n77597 92929\n20636 42841\n81088 85932\n38603 73803\n60111 79773\n35957 89402\n25542 77197\n10944 93563\n16573 89273\n42342 85673\n20856 45194\n69748 91993\n8931 83583\n21302 38960\n81208 86604\n23506 41603\n2959 40487\n31364 50061\n14694 15493\n11509 70123\n52311 96784\n26055 45909\n26760 32222\n62632 88405\n63727 74013\n83760 91200\n78810 86027\n56389 64684\n2140 6583\n34051 51924\n77878 92992\n18266 99313\n52122 78686\n14502 35908\n73425 97101\n20887 71963\n49786 64852\n5058 96419\n68701 74165\n13072 44613\n13176 64562\n42861 48411\n17238 29218\n68259 72469\n7166 90099\n63647 86851\n35082 46995\n50519 62733\n10387 37627\n37655 38069\n3346 77123\n18541 76972\n11876 32047\n338 83734\n41814 55788\n27288 32754\n6922 13240\n18448 37467\n20665 91603\n83042 85045\n9099 84324\n42520 50329\n65027 86654\n69411 77274\n10228 36290\n8610 81709\n22557 98548\n39801 85483\n11764 42348\n56257 83752\n53090 81527\n78687 81566\n35513 54976\n22723 71487\n27953 93807\n26810 61891\n54178 64335\n27915 78472\n29917 78121\n9029 89371\n68446 98838\n62182 65486\n44659 54720\n7029 87700\n11343 66686\n44816 69276\n69633 90507\n37062 88072\n44900 93649\n64143 76810\n16210 42216\n48247 58433\n25290 93583\n28123 41766\n15960 31280\n46974 81861\n4963 60014\n10627 48354\n73467 81259\n16170 79508\n1401 37445\n195 80921\n20642 43116\n28041 57680\n32065 82617\n8975 73676\n69464 77982\n62429 89848\n46194 87647\n10991 31945\n15384 90041\n25994 36384\n34843 94713\n71111 96151\n18684 28046\n50261 52834\n91416 93566\n7542 22300\n49046 98235\n95869 98811\n38582 98773\n64338 95204\n32912 50988\n50054 61385\n22904 68924\n48384 93973\n3130 58100\n11055 55445\n46740 93727\n51940 83910\n36993 91030\n41389 72816\n6421 73642\n50429 71727\n31861 87219\n30867 84362\n60343 98685\n12172 51320\n52791 81154\n28645 96185\n39906 74510\n27141 53998\n39437 97480\n4622 20181\n43370 68074\n27254 63903\n12196 93868\n35309 41201\n34629 87301\n48111 51497\n53879 88372\n16255 29068\n34806 52338\n8965 72536\n63402 92294\n31555 54125\n47076 94150\n86359 87780\n6579 76665\n38391 58067\n39608 62485\n76009 80033\n89239 93151\n6125 18934\n3851 54057\n85627 87266\n17417 93902\n6939 65170\n15261 26236\n88058 92053\n6870 73585\n62647 66776\n60084 71819\n46386 81797\n34771 69957\n2894 59335\n39266 58629\n41688 71627\n78353 98517\n42790 51010\n6775 87419\n20129 75948\n50743 69665\n27781 81747\n37413 59409\n44952 85912\n70699 87810\n41816 44960\n51300 59132\n6913 72410\n16950 70970\n62435 77314\n2298 12471\n43897 45290\n59285 73427\n71391 83785\n41781 78425\n29373 96218\n57461 74525\n36195 49128\n1002 6683\n13521 55084\n19006 92077\n14217 73727\n18184 56200\n67135 84151\n60819 63340\n34134 91522\n52181 92890\n83189 93703\n6403 88547\n89971 95257\n45890 70059\n21646 44631\n14123 99522\n38582 56548\n27105 61915\n1234 23122\n7001 87911\n44579 68083\n20298 72669\n64145 89130\n17046 57315\n2305 87069\n64082 89420\n53487 73733\n1004 63652\n5775 30984\n52207 63714\n28379 44269\n11754 35998\n41738 65834\n8986 9537\n15480 72160\n55505 86939\n72843 98629\n26223 34286\n12810 22974\n30744 73640\n6078 27424\n40031 60157\n69333 94335\n55770 99338\n11654 20135\n30792 94345\n50657 75865\n72705 84161\n46923 79017\n61999 88217\n4041 70209\n20173 44952\n23270 29503\n55150 94210\n34020 85842\n31095 97740\n56309 92308\n59227 87384\n22359 60340\n13423 22659\n42431 85311\n8312 80975\n64131 77913\n70607 88307\n17698 98076\n37232 94792\n20529 22539\n63441 74165\n20385 43298\n1326 92529\n25188 52061\n63063 84118\n30105 79459\n34462 82612\n69635 87549\n1691 71378\n3177 8457\n22737 48616\n26043 77397\n14579 45959\n4935 59453\n22640 82243\n29772 94250\n8309 25952\n48577 95054\n44421 50574\n54647 99480\n8163 99985\n40412 99513\n28154 50425\n59433 75310\n277 96236\n10473 81488\n9080 45616\n39389 87665\n638 32358\n37188 94465\n3174 63690\n25989 85466\n54641 82975\n18547 25642\n36602 79312\n2342 87567\n27590 81782\n14847 22848\n15516 57176\n55248 91464\n19264 83873\n10444 54403\n57556 75365\n34569 72771\n11125 16348\n39813 70932\n38898 48765\n56709 90966\n23689 59042\n15255 64434\n48941 73051\n31997 44373\n54023 59543\n35072 66998\n53042 90858\n31510 55292\n41628 63293\n4690 99629\n990 60589\n27185 96881\n48342 92201\n44074 82627\n31722 62418\n6440 73136\n31489 96979\n80082 86160\n3069 41770\n3651 87352\n35434 68383\n1403 73739\n10651 46582\n17825 21236\n42347 53489\n28368 68953\n38743 89331\n19834 22099\n84487 97879\n58955 93521\n27320 60710\n46638 61656\n55834 82452\n44022 80542\n29693 97601\n10098 43508\n8687 92496\n35533 70636\n32858 69968\n30391 44760\n8382 53005\n69129 85582\n46934 55376\n15692 59090\n31080 49451\n32746 95173\n31260 35123\n1522 80434\n892 27955\n8528 82553\n14412 34355\n51614 76289\n49239 55409\n2352 38967\n37843 62105\n18688 94233\n81876 88637\n29006 71675\n13420 19291\n14007 55669\n23552 37757\n34643 42353\n44394 66010\n2420 73142\n3946 86429\n44216 66963\n27527 74722\n76273 96322\n18751 76287\n5062 68718\n66260 77117\n41427 51762\n58086 95151\n31657 68735\n26536 98041\n4245 17991\n19864 64988\n3556 12288\n62589 82055\n19565 93413\n45269 75962\n74550 82219\n57813 85311\n19549 51538\n31619 85483\n19754 42759\n27298 89863\n7674 53057\n6763 64091\n84516 99353\n50504 85616\n73049 87733\n4356 57332\n44536 55542\n9278 59026\n46452 75601\n20757 86766\n22154 65927\n2269 33621\n6678 81893\n53172 55515\n18051 87162\n5438 61914\n8705 36700\n14462 20816\n25727 59537\n51373 59485\n62002 90199\n18347 51494\n9738 76946\n2676 39365\n26178 56705\n55535 95295\n85334 91898\n22189 42813\n38327 99338\n68269 92828\n1155 52251\n44836 61186\n22568 52095\n16791 52422\n29010 34915\n16169 28866\n53956 86141\n50638 59933\n20548 72490\n42144 65798\n34725 74499\n24339 50162\n41855 45290\n2833 94884\n57598 86841\n48238 53714\n39651 79157\n77662 90650\n72381 99734\n44094 98967\n59252 60201\n35438 72336\n43727 80582\n21106 96749\n5853 12740\n41 4984\n52706 98515\n4689 85843\n73382 81345\n59695 61323\n29160 70944\n11373 53655\n44583 74823\n38825 61533\n8683 31772\n9303 29573\n43501 86783\n17001 17462\n812 66007\n50387 81365\n68139 99903\n67068 70017\n29962 96430\n55779 87634\n15037 83700\n63309 69713\n34004 73264\n44007 61007\n35183 95346\n12894 25692\n34533 87530\n15261 22572\n38103 69862\n11295 68894\n19455 79245\n37052 39067\n96305 99895\n26432 80207\n77595 86683\n71697 85545\n7201 66775\n44427 66066\n2352 33644\n75514 78185\n62281 65920\n20007 53292\n66862 99943\n13379 54795\n96897 99238\n35388 65438\n40880 88390\n22576 70172\n30852 61298\n31975 93878\n18915 68994\n22713 87279\n35068 63044\n25247 97276\n27251 69723\n3489 63846\n30904 99199\n56367 63504\n5029 25537\n17314 23365\n28806 83838\n62885 90717\n16750 52806\n6712 80112\n64607 81481\n28451 57834\n4119 51860\n48829 61827\n18146 25556\n22185 44953\n60131 63039\n14454 30499\n560 73566\n78866 89636\n12081 64700\n18704 78642\n6827 72027\n71909 87076\n35427 65882\n28775 33902\n14052 29206\n21513 71625\n45122 77821\n19349 66621\n58588 78781\n23182 61322\n54203 97415\n61776 80213\n4446 87685\n37538 88809\n28279 69768\n13203 78924\n79056 79619\n83 55975\n3338 5372\n25325 37528\n34455 75887\n69159 84631\n31446 77291\n66140 90223\n52944 75207\n18141 88821\n26002 40323\n29582 58849\n23290 99937\n77302 82970\n82696 95216\n11993 12501\n12936 58564\n10884 11066\n73836 93763\n7833 60381\n14090 45689\n73504 75512\n46384 58309\n62459 67497\n40084 73254\n57803 98095\n11284 13424\n16616 85729\n8863 63990\n26552 43346\n47175 58007\n4203 37555\n58194 88512\n4734 50666\n2978 35136\n13026 48324\n80934 99730\n25438 82122\n63598 72543\n16929 20805\n63128 89543\n71689 93797\n12392 56951\n23536 29490\n13973 36056\n11785 61882\n76 97049\n48211 82414\n52351 62431\n13941 85801\n84330 90093\n47030 62782\n40625 50552\n13914 36716\n66039 67553\n49356 51566\n45825 76054\n41137 53866\n16278 69811\n39726 49421\n85456 86037\n19231 87352\n55684 81379\n86017 90922\n42557 44712\n16899 92017\n28635 66410\n4720 99056\n43406 61904\n19762 45016\n28207 29835\n7783 8148\n50418 87806\n19196 81769\n11885 37358\n13681 28360\n26238 30420\n1990 13057\n55660 68687\n39399 44961\n5876 8885\n45941 90528\n39898 50971\n10725 90219\n32631 87909\n17907 40362\n50649 52120\n48445 84831\n87846 90139\n38273 51905\n29021 37403\n53338 92245\n55879 71402\n35729 96178\n43478 66059\n20842 99735\n2852 77002\n77006 91401\n1890 79161\n16971 98680\n7358 11910\n62084 77549\n62538 83681\n43390 59035\n88750 93827\n65725 76344\n11333 50164\n47607 51742\n32281 51201\n26208 91221\n57838 65343\n10135 59717\n79050 88994\n20960 62785\n72732 75615\n22372 65047\n11551 46613\n19294 30169\n44217 64726\n67645 71760\n36858 50271\n18942 84027\n1524 67329\n50918 68308\n16171 90278\n15781 42551\n550 89937\n40568 55873\n44131 49468\n16085 34023\n76337 80047\n72770 91578\n70146 87805\n22974 28162\n47211 49062\n32160 33518\n42509 69465\n8737 66228\n32127 80864\n3453 41041\n2399 70434\n27118 87208\n25518 49462\n578 91760\n21014 51898\n74267 88891\n13454 68285\n1993 43908\n41384 79883\n751 2686\n67683 77460\n71447 96265\n36676 37246\n59490 83700\n97249 98885\n20972 59692\n38684 83641\n56486 85569\n9107 13532\n28129 61240\n37553 44471\n7213 66753\n58659 86662\n221 17394\n22755 40085\n78937 96759\n75814 93379\n20984 23421\n83137 91616\n88425 98373\n61088 79518\n17478 93857\n21673 95998\n27203 84854\n58057 67595\n41770 57759\n30313 47187\n71216 78820\n67510 70785\n29137 35121\n31706 34613\n18609 57776\n24416 71624\n49646 90870\n47880 64203\n28886 45786\n21048 58017\n17768 87357\n23327 76624\n32769 62553\n52225 89551\n3327 72169\n14811 81764\n7459 8212\n29581 73969\n36574 38472\n40334 79516\n89790 93977\n23956 68149\n43599 76937\n11275 85601\n8153 99181\n82847 89977\n50737 51431\n38818 65105\n16424 69024\n31910 49014\n21869 99710\n27925 68524\n12224 27103\n22707 23517\n41221 83974\n23801 75636\n17779 83308\n21117 81342\n48692 72278\n60437 65881\n43689 95037\n70013 71112\n78632 99119\n14204 34651\n66402 93795\n41533 80185\n28305 51305\n64596 80324\n84358 97831\n28479 54069\n24519 99844\n43458 50396\n37305 94241\n2078 85421\n17595 93093\n91999 95563\n84626 86441\n9698 55114\n22153 39544\n23543 79942\n27666 63224\n34883 99899\n14414 49596\n87496 96134\n66541 81343\n31063 91774\n47466 73870\n56990 82993\n18741 87755\n27502 91154\n33666 82308\n24220 37294\n8582 85177\n36808 95755\n52083 61136\n23450 61969\n6617 68821\n22250 54660\n13933 57468\n32901 61375\n3203 4045\n16490 98202\n81289 99244\n9728 62729\n4319 89527\n26699 88325\n65627 82736\n35593 69940\n34579 47050\n40101 58462\n43103 66859\n26780 87505\n15917 55601\n20714 74266\n50973 80324\n47359 89626\n3177 71248\n75436 94062\n52046 60943\n79123 95682\n70942 71850\n5498 21180\n10098 68683\n31469 93652\n56686 83190\n37762 85074\n23585 74150\n78209 97815\n6726 97418\n39275 54429\n11892 31384\n27976 83781\n62159 97202\n263 59340\n32773 34996\n43248 91775\n68515 74561\n15806 18998\n8297 21718\n25561 93933\n39542 69796\n2600 30985\n13629 56741\n5031 72978\n17285 74515\n18139 42689\n34222 46386\n30098 32647\n32305 49848\n14638 24830\n23192 73491\n60209 91864\n61611 90614\n5072 15000\n1494 59837\n13062 26481\n8570 30461\n9716 36015\n54727 78508\n71212 82672\n40483 55055\n43469 60070\n13160 27875\n15017 45081\n36039 82131\n36662 85032\n60779 72096\n48281 51962\n27454 70221\n34358 55852\n79393 89901\n31422 56082\n51654 75964\n47664 71405\n18111 18702\n66147 91736\n40151 57357\n32263 68654\n81896 87991\n47190 85742\n458 92750\n9512 73016\n24247 44803\n8850 72308\n235 76913\n32431 71650\n44903 70362\n91634 94017\n29753 40544\n40367 83748\n40055 69286\n17719 82141\n52060 56324\n53907 54262\n26108 93844\n12375 26669\n68436 87085\n57191 94971\n33604 79967\n25050 75806\n6341 92362\n46362 98416\n46693 58407\n25513 57794\n30394 75024\n18236 38490\n86548 88264\n16903 70078\n72910 83538\n50122 64494\n77378 80697\n4379 83341\n20591 71098\n94079 96878\n55712 93621\n6463 89953\n1578 21552\n47006 71801\n21884 27301\n48734 75126\n21502 44620\n179 23751\n43408 54930\n7238 9689\n18644 28600\n59407 81860\n40692 45072\n41940 47760\n1157 73103\n21891 82758\n45487 73383\n27079 56635\n3905 56608\n3471 74344\n6483 56248\n67463 89762\n24610 55481\n38222 65673\n32002 98020\n3665 68347\n7692 12709\n50049 95066\n50653 58698\n40352 51599\n27982 52786\n70170 77673\n36282 44820\n16878 67303\n3727 6209\n8354 47664\n57465 84323\n57706 65955\n91554 96154\n8856 72300\n17557 89189\n63631 68316\n18930 60701\n84761 85125\n24918 90279\n22136 98740\n48505 53879\n11652 94914\n23326 71266\n45327 71881\n18102 22873\n26169 51893\n46093 76581\n39327 59245\n562 60586\n2174 44698\n52070 99253\n12066 54781\n2721 49579\n38219 71737\n63784 74616\n26554 46263\n20120 24786\n52880 80391\n32169 76560\n36440 93245\n15134 80871\n20597 43793\n105 47687\n33893 66647\n9326 28364\n27622 73010\n39182 97953\n17152 33075\n65148 78471\n47912 66341\n57151 70596\n37814 66487\n87277 93656\n71 95022\n66534 93572\n19673 53742\n5027 66071\n21853 81675\n4523 84921\n51903 56702\n1313 11627\n24529 25412\n6979 61935\n17013 40768\n86523 96661\n19342 55578\n31160 67556\n73579 90499\n22178 97442\n52114 80504\n60588 90131\n29746 90771\n56468 75381\n27128 46049\n3533 8532\n58252 61590\n90715 93726\n67991 92864\n5157 77509\n4680 17945\n1885 6855\n34754 92834\n6286 41954\n48995 97063\n2946 79090\n15629 79127\n27475 69747\n7917 93597\n80709 86454\n51810 88436\n16511 80242\n5254 75891\n56970 93457\n6938 67338\n16935 31608\n6032 54857\n81194 84239\n86271 93028\n5215 12667\n33025 64256\n89126 97276\n13597 73616\n52536 56248\n63897 86027\n45630 70765\n23199 71617\n11693 35106\n36871 54074\n10850 72268\n46236 63715\n44928 88299\n26583 32757\n21274 89477\n17410 82746\n216 85449\n24447 25857\n20602 84727\n18295 71868\n63363 84069\n23514 53582\n27798 75620\n25909 91984\n49581 76907\n33081 52330\n248 17022\n5266 94164\n74245 82422\n71067 89174\n39759 84860\n4326 42900\n7469 52996\n32260 69155\n32658 72987\n9653 63679\n6987 61828\n7841 96991\n28760 94287\n18623 62446\n3530 88084\n52614 88659\n21243 89784\n25627 29249\n26968 69638\n27533 30575\n30656 44389\n1015 90412\n49983 84802\n21443 87124\n49717 96865\n23394 67295\n11474 94047\n83903 86785\n11320 26211\n14567 74738\n47233 77262\n23208 99076\n83037 91744\n36677 88149\n76428 76974\n31540 79759\n44530 57281\n70416 89455\n40934 79404\n7124 46623\n19873 66999\n19509 73309\n27748 48227\n11070 60172\n32981 96057\n73133 84788\n42412 46067\n20144 59619\n58985 65673\n32341 98487\n5075 36071\n71395 95480\n64001 96726\n40094 90237\n42617 44124\n17757 72978\n22860 38440\n38198 50613\n87262 93132\n53536 70272\n56019 72351\n24333 83064\n10772 65693\n54050 64442\n7980 51248\n2002 77955\n23095 36635\n36236 51185\n66283 82587\n15746 75373\n43625 96231\n48087 64372\n49218 68187\n78385 83376\n42916 72478\n87025 93851\n19961 67596\n41241 65162\n22967 79019\n57603 97122\n35566 52969\n2909 92660\n55353 96814\n28945 54346\n21850 81807\n54321 95542\n41941 76532\n24267 88525\n9498 38115\n39027 44882\n12737 48034\n35075 55599\n27402 97686\n12417 85250\n20657 58865\n206 96503\n36530 57285\n15940 58554\n51959 63353\n36886 46931\n32809 89358\n87730 92584\n44462 77489\n1928 85927\n80061 90158\n22522 84438\n15042 52094\n7762 68462\n80063 87510\n3824 59505\n1713 36344\n27077 94945\n28139 73130\n19675 69044\n10470 73276\n32473 35138\n53391 95658\n38059 84861\n11644 19068\n71987 80565\n32532 64278\n57620 99580\n47833 81388\n13863 17947\n33292 61724\n11684 71045\n14990 19005\n51339 88034\n73829 75339\n57407 86742\n19615 87693\n29829 55864\n26434 71094\n5510 48158\n28774 42977\n32298 74976\n23901 31848\n55274 85430\n5555 71588\n37063 69451\n79872 81671\n31661 50835\n69656 97891\n68672 76243\n26338 82517\n9244 25293\n60676 94790\n40471 44762\n45588 71638\n1451 9037\n28800 71524\n31045 72327\n47417 57430\n26674 97720\n13730 65052\n27250 56647\n12805 46876\n3811 59250\n32729 71758\n54132 81233\n38785 79100\n22997 98170\n68358 74704\n38529 61695\n55392 61904\n70423 86370\n12551 48681\n14486 62689\n48955 57742\n3583 37653\n19968 52028\n80878 90537\n40030 51860\n55199 98153\n50954 87705\n30830 66046\n34101 62368\n46611 57479\n15802 87802\n17496 49721\n23643 35956\n33531 93935\n10564 87030\n3159 94642\n30900 91039\n8941 77456\n24548 81933\n58615 82687\n37323 81027\n46144 57792\n39741 87485\n1095 69469\n40574 87957\n27597 86262\n41660 44655\n38229 86951\n72057 94670\n9537 20586\n76959 88945\n49366 93088\n5533 85905\n45504 67537\n9717 37668\n4452 61492\n52068 66415\n26388 48263\n33488 52677\n63258 83418\n47291 66572\n30065 77523\n4423 68808\n26414 85602\n7294 73167\n27248 74092\n40429 51213\n35943 80009\n15741 71164\n31028 42124\n23456 52174\n69532 91265\n26329 36043\n15480 50228\n26885 81142\n28170 75554\n59180 76132\n10756 44800\n29345 68645\n57959 63496\n47834 75588\n2277 6690\n18423 52403\n35050 86903\n34825 82307\n14063 35519\n25967 38809\n58940 70940\n30418 55547\n10037 81210\n5425 89790\n13864 66076\n38264 98832\n3765 94980\n35710 78492\n59798 62859\n448 51787\n25802 90468\n92632 99855\n20439 79401\n39860 50956\n68539 87033\n77017 86887\n9270 54822\n74999 95181\n67394 85105\n74045 82364\n6757 51934\n3574 64633\n4043 41640\n34262 94767\n34299 56671\n24458 46552\n59455 67338\n54782 93487\n34662 85388\n49199 91905\n13107 33885\n21227 78161\n23631 96397\n17765 27843\n60501 78623\n5686 57799\n37326 80282\n13679 33596\n28697 34104\n32390 38619\n8805 71892\n21994 35429\n10563 95977\n9769 25011\n25201 33437\n20385 94480\n14294 91771\n33971 86278\n59393 60343\n91407 93808\n35607 94322\n3484 17161\n31069 77473\n69054 84103\n1200 67805\n2231 55627\n44053 96966\n57128 78437\n53900 58908\n28639 63821\n69438 84416\n19523 72585\n9491 36660\n23360 92192\n33213 63973\n6108 19886\n2432 8423\n37690 82562\n73569 97895\n38235 72270\n18946 63659\n56892 98783\n24197 48951\n1261 6156\n58968 99705\n75721 82044\n63383 66776\n23807 87983\n48191 96659\n27954 98086\n3803 5430\n65547 94574\n15896 67999\n52694 68058\n34982 69057\n6336 63628\n17737 45983\n1603 19375\n32871 74891\n2032 73595\n41351 96025\n9994 59262\n43325 67548\n49610 50528\n59869 94623\n15176 27639\n70028 96084\n42178 53420\n32714 50913\n10435 22632\n31416 93611\n78704 93227\n6022 70831\n20281 64841\n43209 70332\n47742 73396\n13131 23124\n45015 88178\n95906 96166\n63079 94460\n8460 81980\n22049 62283\n79181 81383\n20054 23277\n29116 48167\n59068 96634\n95298 96672\n14726 53264\n49641 85921\n26770 35468\n30270 39633\n5152 26988\n65855 80571\n15782 44094\n42207 61309\n11679 53707\n44180 55512\n6844 59235\n50408 92254\n26596 96438\n729 26435\n68165 96112\n22328 36452\n51490 65059\n24108 75505\n15719 23528\n22640 43284\n66004 97634\n85646 92944\n42877 92229\n5577 14373\n23314 53109\n26990 92446\n26352 54695\n7314 28031\n4879 53600\n45174 46217\n13388 48930\n32276 68868\n19303 48255\n80124 89707\n2535 67416\n72647 89265\n18726 20810\n31331 74909\n24147 60256\n12572 28791\n78578 96449\n10117 96695\n9079 91213\n16883 33866\n44851 65142\n27107 48011\n45918 73577\n62020 83775\n7979 14246\n26562 46299\n1061 91764\n30134 48257\n36511 44454\n57487 76293\n5499 58767\n43976 98578\n21096 92020\n12197 85265\n61057 71893\n25128 30491\n60722 93517\n26563 86752\n24115 65481\n18495 88769\n18776 48849\n964 34512\n79926 99828\n34938 90866\n41419 48126\n45160 71949\n26159 68149\n28792 53556\n16383 56007\n55840 68926\n50232 60444\n39675 64261\n24 14738\n31188 90679\n53234 63244\n31587 69238\n7231 84046\n31398 33713\n1929 48272\n19047 95195\n36331 47166\n12567 67280\n40970 99504\n31665 93082\n64748 92754\n31375 54270\n51183 79791\n4893 55674\n42013 60550\n9826 87874\n10828 97245\n64823 96535\n68973 80987\n78459 98356\n10466 23584\n44942 66543\n25743 98891\n60783 95395\n7382 70877\n77469 87108\n4428 68218\n29673 84615\n7577 15410\n5149 23606\n53006 69178\n1321 48182\n24048 65581\n15650 19006\n36186 84215\n61967 64559\n15712 82746\n14878 72841\n19185 99609\n67681 81913\n11660 26375\n32213 72634\n794 82413\n40221 81567\n22143 47693\n47594 70736\n40972 68600\n66934 81296\n1033 77935\n1995 18751\n20631 36206\n49369 95289\n11636 51763\n16046 30750\n16540 37816\n49232 99483\n38588 51354\n56445 73127\n183 14752\n17585 60049\n43194 49984\n11287 49196\n66641 72741\n1693 90119\n67951 90485\n24656 88518\n9874 78629\n24034 89281\n48693 93448\n15299 73592\n860 1305\n16262 53415\n23853 50294\n28105 56771\n37322 66253\n33378 89598\n1013 54162\n8044 43546\n19846 24335\n3442 30684\n10635 85950\n77179 83389\n60419 68489\n14516 50788\n35619 80556\n66721 79160\n46465 60833\n28674 56393\n7530 83036\n22118 24036\n21334 80527\n26981 85741\n50013 50941\n14589 17886\n75211 76642\n17283 94290\n37244 63575\n5082 63254\n3702 29104\n86898 92730\n4908 24176\n29817 44143\n7528 35180\n298 19064\n4950 34855\n7650 50357\n57974 87211\n29355 73898\n16207 67138\n40640 51459\n39319 71131\n18624 74652\n29801 74536\n64185 97316\n14343 25161\n41826 54053\n74581 97705\n10399 26341\n19210 80413\n33562 41966\n35400 65959\n20018 55184\n6791 95993\n38957 41333\n5237 71128\n3275 96722\n1039 69285\n21187 73559\n26820 44493\n34193 82603\n41159 94639\n24625 29539\n34658 52519\n24806 34493\n28360 32291\n16731 62589\n5246 13043\n9668 90871\n12348 61940\n19500 85726\n40523 43274\n44154 53334\n13212 92610\n8883 23273\n51144 71922\n49957 52619\n45624 99962\n69892 94609\n51225 96728\n10070 47517\n74354 85073\n52310 91342\n82513 82891\n39398 97270\n33286 95149\n23812 73382\n67711 84694\n649 30826\n31910 78551\n15207 56378\n14202 27141\n46651 56568\n19282 77275\n23062 45294\n22264 36981\n63336 76848\n63680 77240\n11041 34198\n80049 99508\n69442 87684\n57339 73357\n9110 90419\n53449 68700\n90403 93620\n14095 78081\n39804 75260\n66449 66836\n59551 99721\n57434 60501\n4473 38598\n82190 90099\n10166 26858\n37086 66073\n72811 96037\n69923 81326\n50518 97325\n63431 96726\n8688 83937\n6659 11313\n18781 50447\n22303 88408\n5029 94461\n66617 97623\n57024 91638\n20692 88701\n24380 28870\n2970 61809\n6876 86960\n42878 74421\n5458 71470\n54914 76059\n77739 82428\n83306 91925\n19610 64421\n468 18532\n13911 63484\n19169 91906\n1614 95712\n51894 82956\n46061 66898\n33649 76149\n55802 95916\n52608 89812\n24642 35304\n62877 97014\n15294 50710\n61555 84258\n15636 70706\n28278 97463\n57902 73760\n26168 79450\n6845 54559\n19233 99679\n66786 91231\n63607 74471\n57714 58916\n91268 97115\n6512 95653\n21857 89862\n37430 48813\n46363 81146\n8850 56077\n16270 69928\n54353 67869\n30336 78801\n13357 54646\n15419 62208\n5557 32895\n5777 35195\n50004 84637\n76785 78568\n6546 72238\n28090 66726\n75181 91525\n73834 91994\n14126 34098\n90619 92143\n38323 90731\n12357 91498\n27999 96603\n23622 32102\n2069 38235\n63077 64004\n58334 71597\n9088 56703\n83590 89344\n22468 47975\n6859 74015\n19972 84877\n64301 67617\n65800 81829\n38056 47158\n22594 59130\n80815 81153\n6745 56032\n43383 54639\n24798 78343\n35773 54022\n10329 91507\n67158 93183\n46641 89628\n37325 40961\n20619 40176\n4469 38319\n23244 38315\n29270 92025\n1941 37304\n20169 30268\n19781 55880\n7467 69494\n20276 79522\n80628 80638\n82692 85171\n43202 81277\n24780 39966\n48451 75902\n8480 18234\n23517 67376\n27775 58181\n613 58976\n6168 28742\n13140 89687\n7332 89539\n10410 56310\n16051 57859\n4141 85645\n3209 12630\n26890 65843\n15171 49972\n49055 77621\n38873 54358\n43639 45278\n29619 55991\n5170 91772\n84863 98632\n10385 13680\n4341 6267\n29815 80130\n71123 81568\n29890 63805\n71037 80492\n10843 42138\n41366 93891\n43083 92244\n14025 85967\n25366 64099\n74111 78077\n4533 60196\n80933 94409\n31852 57306\n87191 97203\n1088 30106\n83617 98492\n5783 97277\n64452 64882\n6857 63705\n18301 77926\n43793 47725\n78024 97830\n12189 15792\n53879 56367\n99338 99638\n91618 99291\n53944 77856\n5186 32356\n38429 52410\n9859 47468\n17348 84447\n11631 59995\n61924 65040\n44769 59734\n14458 21276\n11967 73715\n851 65366\n41744 55166\n9481 37564\n28144 64150\n2899 19218\n45707 69111\n5344 18888\n666 74598\n54570 79209\n74455 86302\n37371 86140\n32125 72086\n78375 98594\n40751 52891\n11506 27785\n8894 78649\n27384 59856\n16939 79696\n46 5830\n68354 84498\n34858 46171\n73441 74136\n2901 83355\n50478 85027\n81735 90671\n59015 83595\n12062 22927\n59607 87095\n63989 74397\n15378 40775\n39851 82774\n56223 58577\n57137 96976\n46014 77977\n30812 90911\n137 78862\n5768 68810\n20130 39142\n23426 32880\n31795 95501\n71426 81833\n518 94686\n20095 83000\n59413 82845\n10274 47608\n46961 93955\n487 87506\n7066 18978\n49413 81354\n1655 31715\n23417 58388\n41470 52443\n5079 80988\n47490 92491\n10777 58585\n3028 13501\n50049 57939\n11129 46555\n54835 86899\n39791 63416\n27262 33928\n13235 71154\n4865 69382\n60505 70106\n52573 64327\n66203 88229\n37211 38275\n19191 80116\n2348 62665\n29752 82643\n44071 56790\n85581 86813\n78139 95124\n26468 47462\n65593 77493\n29035 80592\n13594 56224\n49784 96857\n36125 89085\n12256 26164\n57051 90582\n59937 69877\n21819 31532\n39929 84131\n59186 87854\n25408 53689\n3054 28731\n9785 26607\n12078 91148\n51397 97454\n57353 89174\n81257 93848\n28109 48397\n25719 50040\n11276 23743\n9035 92190\n55568 75819\n16070 81818\n6846 62208\n38825 48208\n31961 56828\n46997 85217\n13452 93377\n75632 98586\n20286 30232\n17226 82711\n43196 53446\n79832 88897\n902 91068\n43499 95757\n5810 19303\n61306 63802\n64042 96027\n9517 39241\n70105 81187\n11793 78309\n50709 61573\n24399 83556\n15543 28398\n75995 88050\n15349 96092\n33216 93213\n33039 57095\n57079 96828\n40238 66351\n4341 71710\n56920 60315\n58955 94429\n34334 54103\n59411 90318\n45289 70324\n16193 61346\n49445 52025\n51581 67989\n19799 51789\n49809 88468\n6126 93593\n46467 84633\n14276 24121\n30624 53340\n42407 55672\n81844 94060\n70765 93687\n36607 89911\n82020 83930\n32276 47810\n70279 99958\n2698 79176\n21966 56925\n39675 42144\n77710 80911\n17516 37972\n30786 60350\n64599 87109\n5608 24942\n80326 97625\n75624 78427\n3908 89364\n75227 75972\n27646 35841\n56273 93324\n13009 53424\n2000 58857\n27791 92743\n44643 80311\n46234 46377\n35435 36496\n48026 71229\n48880 56328\n30234 52442\n2989 53683\n72319 76076\n2235 38229\n46567 56048\n40387 65822\n41106 73077\n48068 50537\n65235 88151\n48424 78081\n32291 76267\n21238 23225\n55655 89402\n18548 96093\n8383 12031\n77961 87234\n2578 54472\n73871 79231\n8897 30401\n19643 58624\n75018 79200\n17827 32271\n20717 47281\n33928 58961\n66502 86732\n14106 71253\n37560 69270\n44561 74549\n27501 98933\n14993 38590\n14274 16330\n68247 97135\n4947 98785\n31544 57998\n21461 70443\n69671 72221\n76306 90282\n28942 29246\n19250 43737\n33350 36823\n41840 92621\n58758 86274\n1160 35441\n13454 62894\n27975 82483\n9417 65717\n64038 97779\n80720 82990\n71947 85875\n69452 81522\n62773 64132\n8431 86200\n76873 97333\n39465 69932\n3870 98376\n28085 31121\n1484 56334\n30044 60580\n58073 93754\n36400 44946\n67453 97144\n22327 90765\n32566 49233\n18715 65568\n35417 66261\n17234 55292\n72781 90768\n26410 28067\n8777 93300\n2822 26489\n55877 70300\n70138 91949\n37835 99182\n15604 27085\n35122 90183\n54797 94782\n82676 92965\n23564 80826\n20814 41215\n17049 61076\n70268 90775\n33912 74505\n4448 14418\n88729 98724\n20695 71245\n61486 95299\n21547 39324\n7658 57643\n49316 51457\n38023 64377\n15082 39469\n90784 95398\n28430 85413\n55376 62207\n33985 81266\n57092 66017\n53812 59080\n32798 43302\n35433 73294\n15647 40741\n33920 74790\n55478 73361\n10315 42087\n57970 60305\n490 28306\n64258 68353\n30583 86971\n59692 88800\n4394 82425\n51884 85059\n69827 76400\n50902 72770\n16490 88445\n29249 88963\n737 28099\n34909 59676\n10571 89045\n19854 27060\n56752 82219\n20939 83222\n14574 58774\n10853 95554\n16539 85045\n91569 97329\n32266 80653\n27746 43547\n69134 81395\n16851 37152\n23450 37875\n17416 19527\n3927 91262\n86154 99576\n39904 76117\n43301 75216\n20843 61212\n28445 64446\n6958 19237\n52175 88971\n78063 98908\n60119 78314\n36636 46153\n9573 96639\n351 45639\n29749 44767\n25807 71644\n4091 91027\n2168 72494\n35934 42724\n18640 66545\n64154 91738\n42651 63700\n15640 60198\n19628 84913\n57928 65208\n685 52431\n5951 16080\n82176 97446\n52184 75317\n31383 82708\n46394 71875\n21747 61376\n12272 56337\n6816 42249\n9827 56528\n19985 69782\n91343 97873\n78951 86647\n15921 82702\n40130 50382\n41285 50174\n78225 94814\n17946 71799\n48237 75832\n45695 60932\n52745 80639\n66015 87812\n3234 80090\n20430 42290\n29579 43250\n19559 49264\n48274 82011\n34669 88827\n33371 54191\n6945 53904\n6948 87331\n44927 85219\n18096 37324\n1169 90099\n47482 72736\n12050 94513\n5793 31405\n21414 67988\n84958 89519\n16527 72951\n33005 62874\n4421 9666\n83602 98185\n3961 37989\n65465 72007\n69063 76317\n21099 76378\n52910 77953\n87871 95527\n16225 53638\n50794 58550\n22886 23652\n44956 74511\n24493 31188\n16965 95146\n28738 89834\n73357 97644\n9246 33842\n5877 42332\n13318 84242\n4557 29887\n55046 89934\n42917 55356\n15623 55029\n62593 71052\n50373 58359\n42858 65509\n28782 49118\n74637 85521\n60880 78533\n5795 70933\n37229 47510\n56806 79233\n6717 15503\n62655 78652\n20882 94696\n10680 32326\n41857 77430\n86526 96455\n5482 80062\n52649 73655\n13154 95270\n12816 92333\n29957 97617\n58506 89327\n39981 52449\n28719 45792\n72502 92479\n88651 96011\n18823 35819\n38438 43053\n40102 94198\n62861 76120\n19179 62483\n30734 58711\n30285 64459\n50213 53203\n14621 14759\n65635 93519\n2297 3481\n55716 75827\n23205 38653\n48255 91652\n2824 55292\n7196 23710\n25745 92891\n62910 86933\n14994 46180\n9324 48546\n220 48839\n64107 92780\n16417 30022\n7242 17830\n36265 74366\n69154 98990\n50546 91464\n3046 88056\n6007 53649\n50673 79226\n54152 75495\n39630 48866\n24537 38044\n33748 37487\n6704 9130\n44432 93199\n22058 91683\n57231 73736\n2230 59879\n44166 93517\n51167 82669\n10009 50029\n22291 88786\n48780 87630\n18790 82462\n2161 22591\n17548 40043\n9067 70633\n14545 17417\n7694 80743\n5689 91820\n8014 82663\n31680 61929\n62867 93736\n59922 93854\n57940 90085\n37707 65703\n58204 76111\n4924 23292\n6850 31517\n70241 79423\n85 23092\n39304 80317\n49923 90838\n13369 31256\n36375 67497\n18105 69612\n26586 56341\n18741 78249\n32882 67480\n68223 98696\n17059 83596\n82063 85347\n39573 95414\n57770 89383\n10507 91077\n48146 66263\n39558 75981\n24316 56187\n33820 50592\n71141 78255\n28323 45724\n73775 97257\n3775 78617\n2789 59571\n19682 89942\n92841 95542\n257 29454\n63706 74963\n19780 73037\n47648 75519\n5020 48539\n21173 22976\n19988 28275\n60185 97285\n90260 99054\n42759 69653\n53811 98039\n9018 67813\n49445 81366\n16354 31138\n11609 42842\n21230 79658\n8847 76694\n49099 86047\n50552 59941\n7191 49506\n30740 34909\n17844 49930\n25070 89598\n2567 31052\n84674 98801\n20526 87747\n2309 52692\n71833 93152\n22748 78347\n48013 62543\n7870 27621\n18089 42029\n37047 76342\n47533 69404\n1484 71255\n29143 77197\n17180 95288\n50350 50793\n6303 82184\n18303 60976\n11661 64430\n75559 97999\n18092 58667\n23978 50790\n41728 57398\n66106 75087\n57276 73985\n36150 41396\n55740 68619\n1019 70811\n10214 84064\n10928 66592\n18237 62148\n38618 39219\n38683 79352\n42469 92790\n45170 66983\n36575 68066\n21967 67754\n50516 60729\n34613 60473\n32761 61500\n5263 9500\n26162 92655\n44776 80005\n37987 75267\n9124 12800\n41589 51131\n34949 47364\n36177 52283\n67728 86421\n68902 99738\n90050 92602\n32070 34972\n34682 83932\n30471 97830\n86520 93043\n6423 85187\n81310 84675\n78675 97708\n654 71748\n21690 26120\n93617 95724\n21189 23581\n66306 84059\n12951 52327\n3639 93779\n59913 88895\n27515 78584\n39907 50144\n7219 30487\n29 52221\n33986 99352\n42630 80289\n11991 95767\n38029 63008\n49927 55483\n14307 55542\n36708 62659\n42397 52040\n38504 57078\n66651 93114\n9358 11859\n43701 53720\n5741 46002\n40654 62178\n25210 48765\n35387 37618\n64721 68170\n18755 89433\n54964 67716\n11558 26897\n17458 51169\n21327 71334\n64586 77485\n26112 37592\n65555 73815\n5348 68601\n40008 40619\n7529 85951\n53 3167\n19247 62625\n60086 91080\n28672 50319\n41446 48074\n4334 14448\n55759 92453\n80694 99553\n49472 92092\n32082 63327\n29793 76094\n10878 47209\n17679 64234\n24457 66542\n55565 83291\n28926 98535\n4848 9162\n61030 75715\n30174 48027\n18403 51878\n3997 71019\n19210 52981\n78805 80400\n18808 79072\n44880 78222\n25382 83771\n23313 87348\n22319 78071\n47976 85590\n34569 80099\n26031 38836\n29250 66585\n20217 81197\n16150 41087\n40020 81327\n39245 42578\n4462 80892\n42959 58312\n74569 99393\n9756 36027\n9569 20125\n1344 5492\n66237 88383\n39741 89378\n38861 57066\n21675 98566\n40479 95035\n5224 45596\n57098 62558\n5020 77534\n23059 59750\n30680 42521\n79478 92372\n22532 72258\n16234 75394\n41363 69136\n14749 43556\n26808 59361\n13077 99055\n19757 36655\n40238 83016\n24727 68443\n65260 97094\n4076 16957\n60587 75049\n79400 97463\n339 4289\n5261 28504\n37908 63034\n11503 15507\n19682 68415\n765 52846\n8090 14835\n3318 80921\n34921 42134\n10835 80630\n21722 33319\n6935 83046\n7155 33097\n36219 52498\n1200 8959\n70862 85839\n343 83787\n49407 60655\n4090 99086\n13823 19163\n63781 81577\n9424 45488\n6294 79580\n68883 85119\n12747 30574\n14661 60902\n5702 72250\n15751 59728\n16967 46513\n10688 92574\n48595 99769\n72521 76471\n3986 95797\n56868 96352\n20668 48249\n40424 88427\n54542 87904\n30287 63411\n19007 73853\n65114 84659\n5164 82172\n89555 99286\n36454 76502\n90779 93766\n17900 50813\n16387 74515\n13337 61804\n82528 85274\n17158 99547\n76618 98191\n85774 88778\n60727 82609\n40847 66950\n79649 87406\n31443 56522\n15982 76336\n39337 47107\n20265 96871\n85269 86536\n2787 8753\n55727 77141\n51050 65857\n565 39094\n59822 69207\n42247 63809\n72760 73818\n36401 70724\n37769 50334\n90608 95102\n51337 58771\n16783 39990\n61376 80840\n11452 59164\n36413 54909\n42511 67353\n25533 54812\n7357 56300\n60811 90653\n4321 44712\n30535 42959\n29491 52667\n5924 39426\n8047 33296\n44330 68802\n24218 48681\n27139 78186\n8228 15670\n51895 91702\n17047 70209\n2965 9539\n25944 52399\n24841 77446\n14339 35849\n82660 93736\n74845 84383\n21501 45107\n15132 95981\n80972 91247\n59329 78877\n65022 71694\n10188 79442\n7480 59708\n27053 69832\n63370 78853\n2298 51806\n49458 57128\n57376 68919\n8240 68544\n1913 80689\n1238 68052\n50039 68131\n23215 81087\n28418 42814\n72742 82681\n43051 45185\n27445 47977\n16297 50597\n26534 78550\n18504 64882\n17184 25294\n35133 58407\n21575 62057\n48425 77117\n38012 78294\n50297 87927\n516 36763\n16745 75345\n30487 70234\n10109 57423\n93491 95917\n11802 47004\n14712 52919\n7852 98476\n54951 87325\n42286 47152\n11912 89337\n3027 96573\n32546 64057\n3586 15592\n42110 74617\n26617 61494\n42569 75620\n75990 95159\n83418 83537\n53173 55972\n57247 59583\n75473 77578\n34008 54863\n12371 87332\n1598 66133\n1883 76176\n4118 34755\n41417 96373\n13514 40221\n18349 55462\n83763 87923\n76347 97139\n45599 86707\n4118 54415\n31837 97950\n68220 69202\n19254 72821\n37328 54094\n27867 38926\n24244 34546\n13384 87790\n3040 83983\n6803 74408\n26521 62664\n34060 55819\n63218 80232\n79311 91264\n55983 79836\n77543 88621\n25441 27176\n40356 74558\n4323 65982\n2957 68916\n72371 96009\n4295 47227\n14687 46295\n41407 49574\n5505 69741\n22689 99463\n49266 79457\n44458 87368\n3010 26200\n29260 38401\n41400 50154\n73879 74978\n68067 77567\n26484 41354\n63575 67752\n56991 63626\n84014 90035\n18132 67931\n22785 36909\n23321 51055\n36953 37182\n37491 41092\n69458 99966\n25098 41542\n75184 77233\n57 33149\n38145 40314\n21762 67010\n16990 54561\n31364 87359\n51446 62911\n11769 56703\n31768 57768\n39117 92917\n40882 99876\n2050 28567\n21563 81062\n34603 98056\n11067 94370\n14762 37857\n29837 53601\n86403 93527\n77627 96581\n31338 45105\n20560 53983\n68389 69561\n69480 84083\n39693 75791\n22980 32131\n55140 80798\n36190 76648\n24359 37953\n56785 60782\n12106 16055\n26645 58863\n24766 62533\n48064 65749\n63144 72723\n31366 56036\n33780 33934\n56657 96086\n20465 88776\n6113 21373\n18842 24635\n75874 90457\n55815 94905\n64138 79651\n33851 88191\n92768 98980\n32621 62398\n21644 92568\n26746 43224\n2624 58708\n13347 25561\n45337 67746\n7807 99472\n18987 43338\n9219 60050\n24419 25599\n60429 73816\n10774 59478\n49589 86095\n59744 96554\n14868 30104\n16931 97904\n17001 96543\n19494 22918\n2697 43818\n18724 75917\n37216 67661\n44878 61924\n67453 86907\n7301 23556\n60865 97123\n72341 97543\n13482 28155\n21981 49441\n85639 90893\n56997 59327\n69977 78328\n49230 99369\n11502 61753\n5475 36529\n5806 20941\n24286 67008\n45804 55068\n20855 20979\n51910 71202\n18687 65776\n7431 63501\n20004 85982\n21675 28738\n7152 88632\n31105 91980\n68174 87358\n40514 50944\n24062 68627\n17917 49780\n3239 32264\n53471 91744\n63964 84332\n32887 44311\n58639 89305\n31464 83967\n40578 82556\n57491 76422\n68363 84760\n72536 98440\n52635 82891\n25846 63802\n8072 96397\n26669 69724\n33462 41050\n65546 94762\n83258 86301\n75861 82496\n38654 50840\n5387 23261\n26363 46127\n11500 90420\n49760 80933\n47728 93736\n2999 93108\n6009 88551\n52265 76310\n5292 13622\n50433 76052\n45053 96467\n7309 87170\n35541 40664\n33629 73830\n12865 22458\n56372 89353\n24215 60063\n23319 46495\n29183 95193\n28365 69468\n15586 24381\n41283 72174\n22162 39709\n30558 65193\n41939 67203\n29414 31740\n44102 68430\n10976 35116\n27985 72986\n27972 50727\n64125 90033\n8204 40601\n57788 59537\n59133 65871\n42378 58221\n7210 17309\n24160 97157\n1486 3255\n66445 69259\n43434 76907\n8233 48799\n51546 64475\n7925 16211\n57952 68253\n18087 24915\n9615 76433\n40997 59729\n44930 53424\n6995 55418\n12407 38793\n25514 60242\n62668 73588\n474 21304\n47740 53713\n4366 28415\n31283 64933\n36516 49981\n34947 56253\n22060 35866\n36047 79208\n55145 58334\n5225 74220\n1213 7895\n4474 57965\n6995 25405\n3229 25698\n30210 72313\n12445 90774\n50599 62982\n21007 31565\n50670 89805\n72648 93119\n15869 26677\n71918 90050\n52311 79067\n19298 66997\n22301 61050\n47996 95584\n33314 48698\n44642 70069\n30452 47397\n50301 62538\n82391 96634\n96086 98563\n58292 80435\n20652 58794\n11527 84574\n27398 59567\n40257 78570\n1451 86984\n3268 75960\n14807 23822\n59781 76651\n24097 95615\n7066 65911\n19084 19930\n22895 99795\n74342 80198\n51835 92380\n20128 38823\n70399 88592\n85116 86738\n15305 86187\n55461 85480\n31318 46721\n42097 95406\n39333 80691\n23161 43242\n1968 90707\n8003 50219\n43549 47169\n47615 61645\n31029 83079\n33774 60645\n8060 35010\n78752 86989\n17059 58099\n14909 46959\n53999 89875\n5673 25253\n25816 59249\n74894 88009\n35780 57231\n29627 53192\n80872 88489\n37714 53998\n21237 49753\n17482 93746\n2939 29550\n10851 59590\n41506 75961\n53952 54801\n5369 47815\n23966 92521\n69983 86268\n82824 93511\n59344 69034\n2269 50440\n3239 41826\n15258 28633\n27304 75717\n67 10304\n11924 45803\n226 68477\n50360 53057\n28088 61550\n19119 32191\n54364 59393\n5950 84596\n89934 90102\n27458 90988\n66013 72673\n8242 78871\n32773 37318\n30131 82554\n52609 54450\n10688 85047\n21597 86059\n13394 40489\n42890 97890\n44902 48662\n42320 43129\n85254 85784\n62492 97680\n81385 91916\n1660 74191\n71029 81450\n15893 43648\n81944 86824\n8803 53598\n5622 35772\n38430 74304\n67842 76866\n30808 94305\n6229 71456\n20406 35201\n806 15739\n61956 69178\n49655 56043\n21102 53025\n39116 79354\n52550 61021\n120 40887\n236 62903\n59494 75018\n62895 99824\n22042 79662\n38758 44831\n46001 70267\n11326 76687\n54117 62539\n34013 46566\n26524 73689\n13005 56108\n46838 93460\n62082 79878\n19577 37418\n43098 77936\n26346 34782\n6716 35409\n3049 4322\n18346 57790\n2060 70640\n3977 41274\n51167 81264\n26584 55163\n13238 34653\n27145 80153\n25327 33411\n1108 43997\n52597 59888\n64047 86601\n51394 54961\n7027 95074\n29236 85766\n68305 85113\n14053 17382\n40976 47927\n11002 78787\n11396 93502\n21657 63291\n54163 78933\n16352 63393\n39771 79683\n15425 80953\n7888 10445\n18441 31815\n74260 80019\n85379 90639\n60552 97233\n74287 81760\n24961 74067\n2509 29468\n22914 99878\n8115 16811\n26789 89573\n20049 63311\n78693 96747\n12846 53515\n24190 33618\n35314 84399\n44167 64661\n2200 4456\n39708 65805\n4795 47896\n2662 63230\n9938 16901\n19104 96394\n26908 89922\n10831 18238\n58676 98904\n11045 73077\n30076 48994\n5838 84019\n7829 52319\n46801 92085\n9324 51715\n92985 97547\n45048 80827\n28716 71257\n48348 97761\n15076 50173\n2884 32887\n47339 80000\n71580 97468\n17675 28965\n22013 31797\n14532 41022\n21815 95594\n19197 76497\n15078 24441\n40230 95500\n43130 81198\n42857 69495\n11096 26562\n75322 90019\n35820 66081\n36532 64225\n56858 80494\n124 96654\n50631 93486\n81150 89736\n44628 84757\n10642 32312\n8182 88709\n54426 84072\n33681 54917\n58404 75303\n34596 72708\n69725 88525\n61928 93773\n13788 49961\n19993 67357\n87580 92511\n8968 58373\n51950 74313\n19503 66932\n4614 45013\n13708 89574\n12355 60648\n48572 62645\n66067 72627\n13189 59118\n25006 36195\n63689 94680\n2357 62783\n21886 76139\n25109 67914\n39742 75968\n30397 42934\n30646 57769\n74541 76737\n83846 91318\n54899 68605\n37581 61151\n36903 42591\n36476 61080\n29072 81708\n57923 67996\n34119 83787\n44966 51863\n13439 93890\n9996 84328\n17975 56189\n41133 48239\n31436 91150\n77114 92643\n1118 77309\n2882 41904\n105 76908\n23757 98072\n14705 63275\n9523 67102\n21119 57707\n24268 63037\n83467 95698\n52098 68577\n7731 86260\n56966 70545\n7488 49689\n13122 78852\n3336 81808\n69424 73911\n40718 45757\n32774 81991\n15362 24927\n30698 46386\n15291 24041\n55083 86037\n33860 74887\n21375 93866\n17731 96044\n1659 28067\n13236 98337\n19968 79149\n77350 84243\n7068 9496\n22641 95322\n19074 95391\n43160 47611\n37520 51008\n44449 99041\n56808 63601\n20254 73091\n53919 99306\n24479 94709\n40615 60875\n26543 94895\n30584 99917\n36806 76772\n3278 54352\n32061 67886\n8624 61468\n40742 61801\n36289 38952\n48515 84449\n32290 77262\n41824 46781\n64569 95910\n16852 28262\n63644 94649\n16404 82984\n24193 28836\n58044 71630\n54891 78615\n20851 52459\n34869 79770\n32446 36252\n60497 96283\n20598 25897\n12746 62350\n11389 98483\n16398 70420\n81565 81793\n70553 89245\n33887 93507\n44987 97971\n66547 76305\n26331 65322\n14005 16408\n4052 36720\n24063 37468\n10115 51521\n24755 48942\n4443 94554\n19984 73727\n8426 91418\n12988 97198\n1492 54148\n86701 88845\n8218 52301\n12197 41904\n46908 95237\n19711 65320\n47601 50866\n64843 75256\n28136 59626\n533 75379\n66312 85646\n86067 96952\n19363 90028\n11468 52300\n16684 24488\n53655 91782\n72138 89554\n8819 10406\n13390 98498\n1177 45934\n66278 79617\n2762 22258\n2405 27104\n9440 99839\n42775 71178\n73224 86422\n35771 39570\n26869 44757\n1983 5741\n11425 54071\n12702 57819\n19580 25939\n26411 39400\n25611 84047\n19114 38622\n47058 52520\n3659 34521\n3452 79262\n18700 24095\n13109 69947\n28962 43753\n3757 52501\n29850 72748\n60798 83198\n9799 69347\n44066 77703\n61098 74886\n6146 50263\n4219 53369\n30450 36939\n1944 40875\n57691 80588\n17631 75831\n1401 3498\n71183 79930\n22093 27411\n2284 84150\n2086 24933\n65438 97128\n39360 66226\n53935 80165\n35988 66230\n77261 88452\n4371 11461\n2059 49176\n39080 54684\n30010 58928\n26826 76012\n21488 63557\n49300 75794\n52512 71507\n84856 86481\n12707 24067\n36286 41275\n2759 85727\n19713 98907\n32064 42774\n35419 76506\n25565 61277\n5091 72566\n37614 58225\n55864 99998\n73161 82883\n80749 87776\n15317 24505\n56666 74532\n92946 96638\n34458 80049\n25729 37730\n5273 78591\n14276 15873\n27442 60368\n190 11918\n46298 75641\n27518 99202\n20709 45545\n79915 91652\n45176 65883\n18779 36280\n1418 20209\n3995 12167\n17883 34518\n52709 96376\n45370 53950\n25304 81226\n39504 83873\n11934 40473\n67038 98192\n30757 43018\n5425 64541\n71336 77328\n26179 59457\n2678 42135\n10697 40305\n73611 82380\n75726 83729\n23331 41722\n15180 80915\n1935 37058\n36619 90937\n25746 56995\n3175 11613\n18106 63381\n19711 42630\n688 52976\n20340 61853\n3710 70236\n55490 67864\n16091 18795\n4457 54560\n8916 80499\n70699 86404\n58862 88115\n63726 86855\n80238 87910\n27892 73232\n19625 20888\n1619 87959\n34510 95727\n18827 40175\n22297 50075\n31280 36922\n19196 93824\n31974 66982\n49416 97223\n20525 49270\n26699 69336\n13084 43373\n67583 83917\n15557 54106\n7038 81311\n58918 86090\n65461 78592\n26340 89422\n24243 57779\n12609 97267\n251 71362\n9501 21872\n34506 93893\n95048 96817\n19311 55647\n26570 49686\n14808 18956\n33339 56636\n20945 62913\n14964 36749\n6012 90016\n18139 93828\n22658 74053\n43586 50900\n18292 96872\n42298 55983\n12268 35764\n8602 38520\n14829 79993\n13485 70462\n8234 44640\n38847 55207\n5639 56047\n58698 59503\n64183 92487\n323 70951\n15677 36109\n28719 91006\n37168 89176\n11134 56418\n45183 64436\n69155 96860\n94208 96888\n12579 95455\n54882 78089\n16247 93883\n354 78520\n28344 84055\n21914 53849\n37108 97513\n61786 88495\n42870 84850\n14390 23018\n3257 33821\n73016 89029\n48120 59821\n23261 57318\n902 72902\n82192 87905\n52775 88870\n28920 63874\n74620 99160\n64865 77039\n74821 94432\n27808 65985\n4291 51068\n26597 69187\n31878 88182\n13218 60574\n69874 87792\n33190 65534\n24512 81102\n40449 97353\n6472 60628\n17436 68505\n40772 89607\n12167 79280\n8054 40176\n44603 82101\n51027 62887\n1199 38236\n32758 57791\n10904 77194\n37211 76973\n18746 83004\n26602 43458\n91240 97835\n24089 61775\n30119 98920\n10103 55736\n52492 85041\n1561 68008\n4399 74498\n72803 80152\n16420 19651\n31562 52890\n13187 95108\n27985 97037\n44824 45100\n672 50544\n61482 74570\n6305 24948\n49911 68888\n4158 9326\n39551 55235\n56016 79293\n53504 72950\n30224 94886\n37424 49451\n91840 93991\n1421 84440\n44281 99451\n22549 92741\n34883 38407\n44534 82266\n23041 23373\n7481 98721\n65054 88279\n38079 86281\n40982 84373\n22929 88427\n8030 94559\n31232 44414\n36114 64182\n56270 64650\n70922 87153\n34115 66057\n973 87537\n28746 55176\n16000 23118\n56793 73351\n53767 86719\n37996 76628\n4197 72689\n62995 83471\n26111 68804\n35847 55488\n4819 82372\n17559 71213\n49724 56141\n53305 71664\n14175 74900\n11960 80514\n1701 75226\n86714 98538\n10783 44144\n21214 29994\n58960 96434\n29867 53959\n81270 95311\n25527 96787\n60936 70156\n79692 91883\n1707 80144\n52475 74298\n46759 48960\n58136 81856\n73484 96005\n46848 57805\n48482 48570\n59852 90782\n20459 49586\n31932 62089\n46334 81680\n48998 72820\n10672 53585\n69219 98994\n30385 59051\n76200 79078\n22962 93566\n34977 53980\n23797 97403\n36276 54965\n37905 39842\n28336 39005\n74445 97134\n51764 72532\n5879 41507\n2582 94450\n23798 44808\n9207 18814\n7196 92846\n78870 83135\n54550 79553\n45592 98056\n37571 93716\n85872 93082\n37112 98243\n8572 60104\n75619 80645\n71790 99735\n29981 87859\n33494 60595\n9845 57105\n12688 91649\n28665 84038\n11501 42583\n5235 10539\n15289 83359\n38732 80163\n67676 88907\n6954 22220\n2226 71221\n46840 81975\n21467 40299\n12186 67037\n2073 61316\n60890 67107\n50996 73579\n69785 86266\n30581 61478\n609 31816\n46747 64344\n46723 82763\n26970 54192\n36493 46333\n54014 98550\n35541 72347\n28974 78152\n21602 75650\n92593 94333\n51085 64647\n57598 68374\n6078 45214\n30244 93876\n2975 53180\n36287 73868\n33716 67239\n3687 7089\n52785 63975\n36313 86177\n24867 58889\n854 91289\n25555 85135\n1272 15967\n51407 85293\n62956 73266\n5364 13714\n21166 76898\n1926 46494\n33420 88164\n9272 50394\n32266 88091\n29726 34077\n33383 34147\n7735 36071\n33848 48783\n55650 87642\n13655 54973\n41961 52992\n31855 40965\n25204 33268\n29398 96351\n19862 38561\n58070 70828\n3808 89364\n21083 41001\n10022 43682\n16805 78533\n60718 85221\n56843 62339\n69069 94418\n13821 55393\n42655 59457\n30461 95726\n74921 90776\n30994 53661\n15960 29368\n46315 75829\n46533 78508\n35701 81352\n9781 94456\n52200 57591\n78867 89845\n10980 59705\n25247 82395\n14542 30377\n48576 57323\n95998 98207\n2553 30869\n11520 52177\n29349 55691\n16172 70854\n15601 49768\n62086 80029\n40082 41510\n13806 74318\n49721 72589\n40385 74874\n51268 96334\n35347 43307\n31916 32579\n9080 79437\n14163 24814\n1749 15388\n38378 53017\n17157 62914\n14118 15006\n4181 4491\n47677 69181\n52810 67816\n13233 20954\n19709 82770\n10897 36475\n9657 97704\n3095 72046\n18026 24230\n9493 10833\n8255 76168\n6836 13654\n7784 84328\n20086 84016\n7611 29060\n11720 30102\n29884 30476\n83556 85843\n13176 37928\n33546 67872\n78331 93752\n52679 92605\n19141 69656\n44924 61117\n11403 66144\n12319 76521\n14822 35164\n269 89190\n11283 28320\n77098 86047\n95577 99940\n61032 70726\n10958 47186\n16165 52326\n28928 53387\n37964 57344\n22427 60304\n18082 88081\n220 49477\n894 27703\n38616 91086\n16948 92906\n37061 56551\n60297 77954\n37982 57196\n41950 99642\n41557 83174\n17980 33168\n10546 70737\n18911 65064\n58056 96195\n15214 16888\n40802 65906\n73636 95400\n77693 98649\n804 34739\n25710 89857\n14011 24841\n42693 75433\n52883 54722\n22162 94766\n6220 53302\n55575 97674\n7587 14163\n58683 64791\n118 92813\n16649 51941\n8864 69286\n3699 92257\n31052 53863\n31430 85746\n19141 39050\n53361 54135\n2836 94453\n16775 81559\n15277 20129\n8073 55165\n14622 67677\n7712 45347\n49219 75814\n29251 57048\n14662 21271\n60298 90665\n46576 66867\n60534 83204\n27592 93333\n37595 39619\n24914 52343\n37739 84015\n42076 93755\n37790 66670\n2137 39257\n25478 86028\n79225 83055\n19918 87155\n20996 89142\n57201 93989\n19149 29291\n16277 28182\n4325 11975\n844 40158\n6452 39569\n40805 50889\n58264 89018\n41056 81111\n73465 93609\n333 53396\n48481 72343\n32972 86067\n7135 85184\n34749 54486\n14241 64733\n45275 58019\n51204 65031\n275 27083\n34180 64455\n57133 88192\n62030 72625\n13681 26544\n83685 87846\n906 49165\n58729 88936\n12150 69288\n64820 97661\n36844 74567\n54253 56831\n12563 86100\n16750 44909\n17662 26135\n25998 82955\n27162 63567\n41009 52481\n44222 66941\n33390 82703\n23915 31270\n15678 46910\n23857 25007\n47749 77179\n47105 86174\n43537 63015\n22391 59984\n3994 69098\n72033 77609\n33052 63808\n96333 99546\n7375 88148\n41204 94709\n40938 55335\n27837 45166\n1255 13215\n14508 21018\n57774 73116\n27546 70953\n3096 16224\n17843 19003\n62059 91177\n19326 70138\n43921 79524\n10025 11186\n31848 83687\n25975 88426\n20900 58442\n6979 54823\n39482 48605\n10852 60875\n35801 81068\n87805 88949\n1922 9677\n54665 85395\n23477 32904\n40248 46110\n23131 41605\n26549 91575\n8633 16126\n75935 93163\n73005 97267\n23821 33216\n23011 52478\n38056 93438\n7912 93204\n37646 73656\n14322 21260\n31041 59110\n5617 95058\n660 6327\n11068 83363\n2861 45107\n10201 86578\n14943 16334\n13375 74454\n39703 61972\n27364 76288\n11059 47832\n64962 74418\n27996 70658\n46560 68637\n55037 92507\n61855 63135\n19205 25663\n18966 27995\n40876 72028\n4221 36473\n65033 93368\n28178 80603\n20428 70809\n25805 39293\n55961 73697\n15175 63563\n7855 12061\n84509 87295\n7313 98439\n39675 45061\n32808 62039\n43173 85361\n60351 92343\n2630 20717\n10896 65068\n71973 90811\n80701 94314\n35562 69645\n20616 96125\n18560 85098\n38866 61616\n66119 96890\n8793 43809\n3347 54419\n68589 73557\n31928 97956\n50791 94651\n77392 98660\n7005 26599\n79210 95560\n27553 36467\n5565 90859\n2683 57553\n44660 47015\n3427 37384\n21701 36184\n785 99641\n19159 23536\n2234 9485\n6642 8987\n32809 75556\n58479 70415\n15586 63162\n3253 61057\n17182 84683\n36657 99868\n50129 86470\n57216 79834\n10756 79245\n14264 23403\n48166 91980\n2986 93718\n16278 95408\n51816 59548\n57868 89320\n65740 81191\n7559 70101\n80103 93351\n3027 90910\n26322 35679\n55711 99167\n38447 45485\n29036 97371\n43311 47297\n5470 92466\n49561 58210\n47992 64333\n76581 91935\n71471 88988\n4433 25978\n1182 21183\n7666 41783\n2916 8574\n8628 61941\n37630 40358\n56306 80187\n86037 86541\n30906 96381\n61114 88902\n29790 71846\n47366 88504\n2389 72141\n46495 80662\n3171 8387\n66913 74203\n22720 50501\n20478 82124\n51125 68759\n55914 69226\n25235 64485\n59286 64511\n16063 95060\n3633 38321\n29498 34790\n77957 79705\n31933 94970\n40168 84927\n51017 63274\n66125 66938\n3329 5211\n20667 21809\n12489 96454\n35619 43931\n19288 64278\n35031 99604\n42452 65139\n65533 80258\n26323 94463\n50152 96067\n9401 35904\n39959 60560\n51467 57081\n5584 26840\n40037 63465\n80394 83332\n29827 64566\n61213 78817\n7338 81007\n52958 72176\n2425 9763\n38938 52647\n10587 27938\n20272 41689\n72947 93112\n88022 91308\n45591 57125\n7707 30504\n46211 76536\n29873 57058\n1027 88137\n21572 41266\n20822 59592\n12707 34335\n11211 63492\n42930 48843\n10913 45496\n43158 95070\n41551 49978\n69740 70465\n6574 88955\n70346 84535\n37781 71701\n54070 83580\n24093 55672\n2512 74973\n29877 48345\n48978 63524\n43191 75461\n8572 42212\n47531 60139\n38645 64046\n59934 76325\n6232 92496\n27493 53797\n16630 83017\n23292 40652\n5607 37648\n35008 81411\n71 6355\n27088 71746\n33779 43070\n10232 93083\n52144 69971\n39496 91623\n46563 74429\n64380 67783\n35657 73533\n59181 65961\n24295 92000\n18254 44977\n18665 43578\n75598 75999\n5494 8057\n41136 95966\n67386 91943\n17056 74549\n14349 38968\n39594 44576\n9075 78909\n8646 64767\n75680 83280\n22284 51182\n40612 42050\n20228 50078\n41110 65365\n29379 75387\n69701 97625\n3557 46251\n22816 82334\n59098 79911\n43051 94670\n26533 34870\n34670 74046\n42281 52800\n26819 97610\n60861 96200\n350 39923\n42924 91965\n30371 78628\n22628 42385\n769 97708\n48447 72951\n41682 95650\n10609 50330\n87093 94355\n30891 63060\n23452 78041\n26940 90922\n1534 95833\n35683 74843\n59407 70502\n46388 73716\n28191 50900\n27243 99606\n59803 92143\n33716 55541\n78186 82076\n510 57992\n35155 80815\n2047 86573\n13216 85897\n58238 98476\n11472 40248\n67020 85481\n30982 86039\n43075 82582\n5752 18185\n20773 33613\n21523 71525\n3983 11438\n80400 81528\n28306 65005\n57464 95044\n50862 94505\n80009 94362\n41714 67444\n23360 36841\n81799 95321\n40427 51032\n26335 38919\n36331 70018\n30746 57333\n84634 88518\n9402 47518\n31730 73181\n24744 89450\n4813 15659\n2783 80051\n27177 37103\n4245 34235\n19233 20486\n23045 63454\n37051 41527\n34918 52861\n2522 53994\n48832 54025\n44741 75888\n20104 24036\n67179 68471\n41526 79333\n75905 89936\n17035 25220\n667 40397\n87753 96797\n35502 66213\n76555 97056\n38045 38062\n7383 78801\n38394 85084\n42292 90044\n50373 93497\n16864 74690\n51536 75418\n14479 55287\n3152 65087\n68215 98301\n38124 56498\n4563 50559\n8265 13487\n11774 57364\n4937 79434\n24593 79836\n12022 41516\n72043 93825\n33925 44263\n26710 39099\n48677 93105\n1344 2280\n44876 47194\n29155 90355\n17741 47492\n83841 90432\n29205 37959\n3756 91907\n17970 21779\n34156 44849\n52927 64647\n5046 68321\n64600 71007\n23268 39640\n15293 63586\n63980 80058\n58855 70963\n12701 46306\n40194 45294\n78499 98268\n46431 70692\n47811 61279\n25019 90688\n35895 63984\n50494 83201\n16862 51987\n32797 56921\n25018 61895\n5649 16599\n59863 96469\n31082 66374\n10004 61484\n53867 57452\n73212 82352\n18870 71096\n35461 63145\n25404 52913\n78752 82657\n34299 47096\n19166 79985\n21284 45296\n31728 33900\n64268 93435\n22439 34385\n64188 72639\n21590 48918\n41106 41476\n17187 87871\n25560 35266\n29782 83691\n24199 34404\n20936 38664\n25442 36617\n4507 72753\n49598 64532\n29325 64638\n68308 68985\n14916 40850\n79337 88597\n42103 51378\n17258 88624\n74472 75037\n30653 94295\n47206 85242\n2641 4423\n16656 65585\n7925 54567\n40965 83379\n25623 49791\n43915 55613\n63752 66874\n64290 94546\n38051 67045\n13151 13402\n73476 92309\n13236 97251\n21633 78960\n33223 42784\n26969 35211\n5650 94086\n33023 46507\n42140 44890\n35190 56368\n17924 53359\n28215 75317\n5398 40142\n15212 69841\n19065 80448\n86811 91618\n29550 76191\n44792 81648\n51248 79412\n22969 23773\n26792 77039\n583 96534\n33127 92232\n31370 67076\n55059 96326\n6190 59325\n56836 62227\n18118 36201\n80946 83237\n431 73715\n18387 73620\n79640 79960\n25818 27552\n526 87496\n55526 99274\n2647 84155\n4973 99219\n92856 95447\n20185 86813\n12913 44883\n50042 62110\n25233 80397\n42066 69638\n24055 69189\n85128 94784\n38053 69141\n13987 95425\n76640 77358\n42155 86853\n54058 81142\n8283 96768\n5680 70595\n67808 85260\n36723 84079\n13822 49697\n7590 71062\n34034 39336\n60951 65815\n13482 56906\n59359 93686\n24830 55424\n13244 27335\n57199 89584\n33747 79027\n83472 84397\n9783 51574\n90718 91649\n7611 57251\n40379 77766\n6357 74284\n23043 71729\n24362 50664\n81773 86137\n1067 10391\n16113 82682\n6002 66056\n41940 92852\n20791 75171\n24785 35679\n38520 41627\n54410 56196\n39249 44215\n12103 30658\n49878 97554\n48319 49758\n5181 64678\n2983 47304\n44244 94786\n35976 63628\n55928 73038\n82235 97764\n86385 93344\n2380 35285\n24880 73856\n32699 41618\n27422 60377\n1417 66947\n20332 47613\n13736 16577\n36088 47064\n43606 93790\n24007 39894\n5137 11098\n1109 9326\n67438 80547\n18430 90198\n43772 89710\n781 77767\n18216 97719\n50030 66556\n12874 99221\n78930 85390\n7505 16534\n40313 91757\n1109 27148\n40780 58482\n21410 59738\n30671 43915\n26594 51313\n19908 99123\n165 21097\n3152 89155\n21900 47455\n33877 89424\n77495 94964\n29198 43463\n2558 68133\n5757 97819\n95591 99892\n94347 97675\n40202 49106\n45572 49353\n22670 37925\n51526 71750\n5233 36789\n1573 75988\n33347 38143\n3210 25694\n76380 96341\n66573 73355\n41342 76956\n73170 74280\n50531 54223\n46900 51818\n89672 91645\n29850 41160\n1937 38669\n10916 14465\n13191 49249\n3501 32808\n53880 81256\n66699 76361\n19487 93259\n39373 68830\n16247 46072\n42797 46335\n33386 83322\n63183 82017\n20507 78887\n19295 89679\n25619 68400\n52695 97046\n55171 80541\n81424 90617\n419 87420\n34257 91163\n12790 46526\n13859 41896\n54669 96460\n33541 97470\n37776 94667\n92273 97370\n17440 31536\n30646 47050\n41064 63091\n42549 54062\n3840 39219\n21867 81019\n31687 40300\n34550 73570\n42742 96286\n81537 89527\n3167 72512\n1973 20231\n17424 66854\n13390 47043\n55687 61420\n14479 86722\n40285 98018\n1075 48856\n9750 10857\n49289 68451\n10308 56568\n39104 45751\n33341 53569\n25814 92353\n24301 81044\n1758 17784\n65571 99014\n6821 71503\n35720 41271\n80376 87581\n16168 64515\n49936 84427\n27915 62367\n18916 92582\n55528 60958\n94397 95380\n49774 86445\n36444 47078\n67848 72356\n79589 92609\n26172 68787\n58983 67775\n71473 72771\n5239 89362\n19302 68221\n12729 67141\n15188 29745\n36953 90614\n56078 79022\n11333 73650\n31388 42819\n24630 93840\n80465 91177\n11359 93608\n2718 72155\n20534 70933\n89079 94129\n42885 89044\n31387 70906\n60046 79934\n57052 74762\n512 48120\n18938 95365\n13971 91976\n18864 81653\n24183 36594\n4723 27372\n30225 54865\n17110 60500\n11018 34813\n69545 92303\n22793 81767\n15021 28494\n46074 89263\n45558 70630\n32072 46224\n54962 98219\n28600 37180\n44157 55824\n65412 85206\n27714 95822\n91015 94311\n11820 65518\n16731 50744\n9563 88649\n17351 28321\n8368 99141\n79795 92086\n35176 94529\n24971 81042\n10463 86514\n6387 26318\n28009 78250\n17887 64498\n1066 37801\n38042 42158\n38229 91269\n1113 69172\n38560 88955\n25873 44545\n20023 83730\n2138 87847\n13658 16040\n13187 97724\n29261 81007\n46052 86213\n14901 71792\n11227 81112\n5939 19304\n86576 96878\n24984 68238\n9140 63933\n52926 96799\n75560 78266\n10667 97464\n9922 67193\n11103 50929\n32791 90047\n48710 94436\n30268 37768\n32827 41676\n18831 74977\n51710 93582\n43436 72616\n76300 91466\n40186 79648\n86876 94673\n51303 61043\n51325 61868\n13743 49429\n37216 74120\n12189 50052\n41847 49150\n14544 84855\n40088 80818\n11220 70125\n23701 49053\n6971 34707\n29228 62257\n8649 74945\n51933 59866\n28788 31873\n67272 69240\n35809 94240\n61923 76733\n79599 88715\n15121 23407\n1325 99531\n19995 83741\n75004 79258\n27633 57354\n12926 68985\n15339 85792\n93639 96862\n50041 84308\n47616 76490\n26659 77855\n8135 51266\n37464 38806\n16403 58936\n49372 51909\n15677 44872\n75540 87995\n24411 41598\n29528 80886\n26147 46710\n8569 98018\n45818 86484\n48996 61082\n48070 48199\n13269 72781\n66118 82174\n85578 87406\n36851 55251\n7256 29688\n16837 53632\n14039 28227\n65569 67039\n6291 89985\n8965 15721\n29142 40827\n56678 90424\n3828 3894\n9802 56126\n58423 93137\n41826 64984\n38078 78320\n12563 69841\n3033 93789\n12154 33468\n26690 57442\n5862 9443\n16542 51660\n952 36430\n41663 82452\n23625 38709\n45328 99810\n3801 62567\n40443 88912\n30217 34073\n70825 83174\n95341 99057\n66003 74483\n39591 78540\n78713 95124\n19758 99061\n38924 60756\n62724 81065\n140 24793\n12789 44054\n48893 78997\n12299 53479\n51416 70597\n65300 95760\n81096 91975\n21862 79582\n22537 90542\n35857 44815\n4812 72928\n3017 72629\n60077 86861\n22797 52035\n5460 10459\n9271 50887\n42515 85426\n32500 90574\n58683 77210\n59911 67972\n26763 39430\n49723 91528\n22828 39720\n69053 98841\n19293 86418\n1944 4131\n92507 93606\n6846 73147\n9475 74794\n14916 39158\n2420 22098\n31040 61139\n16016 89497\n2304 51715\n22234 92729\n17624 65039\n44510 86939\n13223 21595\n38591 60757\n18596 38724\n56027 72927\n5815 54909\n23654 64027\n34083 40570\n2627 73277\n12617 73091\n77686 85268\n12368 38495\n47453 50577\n39756 85186\n45056 72418\n12165 43798\n22181 92088\n5147 94805\n52126 79852\n41522 50841\n30133 30787\n13133 45787\n59824 90522\n31977 98963\n32789 34823\n5687 96924\n6807 28232\n55626 83392\n16110 51395\n3689 55259\n43841 70527\n68459 92499\n37884 41337\n38277 51785\n41308 83353\n52450 88699\n75224 77626\n24172 46290\n70022 87518\n13999 72456\n42232 44286\n56585 61975\n45546 54725\n41646 58904\n25916 84951\n68417 85149\n51011 70748\n59672 68999\n76711 81044\n3498 92046\n35787 80312\n9933 23035\n12323 78545\n17087 39431\n63471 74650\n37754 61493\n73021 91825\n12608 31220\n56598 94714\n448 61661\n24665 78075\n64534 74480\n19054 57677\n56229 82682\n16137 26013\n1352 11965\n22268 72100\n70252 91296\n40133 85236\n59287 95119\n43487 68207\n3420 36264\n1329 16967\n20358 96932\n61512 96044\n20418 31043\n61882 94519\n38526 64344\n20317 26225\n82004 89761\n13058 78264\n22394 38321\n9784 23579\n3539 23178\n31974 46060\n21454 25457\n16708 37842\n16305 50579\n25167 45692\n770 67138\n26871 53557\n56353 66882\n44795 47196\n23309 37638\n37947 54036\n13350 35540\n87820 99246\n54512 64024\n73021 78205\n65381 73757\n33808 37283\n37030 57859\n50906 67392\n36132 71629\n5064 21941\n23475 82502\n7778 92914\n45307 62640\n10153 30842\n1126 83653\n14370 92936\n66457 71324\n26094 39738\n29465 64411\n65766 84536\n7793 37234\n30571 41728\n2184 51508\n71739 97422\n2924 23627\n11842 48512\n49533 58225\n1789 10903\n32898 76833\n27299 42985\n7753 24203\n35194 57629\n33474 97527\n46369 90886\n3431 96413\n41433 59846\n21080 65293\n3776 91421\n19025 44228\n7304 69567\n3001 22405\n34363 87017\n21506 65999\n13535 65675\n16946 79463\n44262 59740\n52579 95414\n3634 8420\n17321 37576\n37965 62022\n71428 92562\n6944 12298\n14023 41712\n48313 59280\n14428 56699\n28769 90462\n34430 63589\n65441 80125\n70707 71280\n23136 96889\n2187 10231\n2686 18067\n63998 96165\n59763 72415\n9640 66968\n42924 55263\n25147 44204\n50896 66174\n21606 47033\n68167 92327\n75052 90430\n8422 46413\n5273 36664\n47374 85689\n14038 36925\n23113 95501\n12052 87009\n8965 90242\n3470 6167\n32711 84418\n55874 56398\n37906 52859\n1949 54334\n26703 59079\n14143 66638\n137 62399\n25433 88253\n18125 97497\n30361 94537\n9906 87517\n69813 98604\n60459 90346\n11216 91852\n42044 82852\n16100 83560\n10420 51770\n26125 82334\n6673 28371\n28199 72995\n77822 78726\n33419 45992\n2372 91064\n28994 87943\n22893 90359\n38196 66293\n29745 84218\n28244 42071\n43993 92056\n22130 87169\n33492 59463\n55467 77519\n73973 93808\n20038 39693\n34766 38788\n56727 81447\n48086 49782\n24094 84263\n15186 81220\n59093 72590\n27987 41386\n63335 85899\n52972 61791\n23598 88351\n31746 64505\n51611 77137\n17177 58673\n37189 68388\n8822 53770\n81118 98028\n7160 41645\n47447 59527\n24805 80403\n4017 53590\n43844 80018\n38378 56166\n61907 77301\n20754 85173\n55915 81309\n63834 74682\n20956 97047\n58843 94665\n24999 29153\n16126 18533\n45114 74082\n53713 84495\n19590 99523\n22341 54164\n587 87424\n26070 68625\n17489 56252\n50320 82854\n60260 92965\n36090 74634\n21949 52062\n9347 93881\n32811 51422\n18030 63464\n6089 74051\n57306 77271\n1965 51590\n3785 66613\n53224 59304\n35523 86802\n68425 73348\n79272 86255\n33795 68762\n76259 90025\n8129 17783\n43025 88220\n23924 66818\n3370 86356\n60401 99466\n60969 92800\n53813 76908\n34342 65778\n7438 74956\n74818 80636\n12241 18158\n15073 61761\n30652 36630\n49486 60556\n27707 61708\n27564 43855\n66192 96851\n5722 96584\n33 26497\n22150 46497\n43395 88421\n11595 60652\n54046 62933\n16890 36705\n956 33027\n40898 46240\n38316 57005\n70881 78785\n28695 38123\n17601 72413\n9630 33272\n23341 63436\n36668 92651\n29852 65402\n15525 72803\n55840 83350\n1218 4828\n50340 70098\n82990 93368\n12517 51215\n4916 99330\n46410 91356\n71345 76568\n40717 92307\n35665 75804\n1740 45470\n40827 61433\n40411 91806\n43427 43855\n58600 62115\n8758 42607\n60324 98494\n65422 82205\n55409 79960\n43648 79553\n41934 72121\n38786 84849\n58460 82889\n67314 97907\n31662 54677\n18479 33405\n37109 57975\n30720 76370\n13672 74347\n21666 42236\n57993 61322\n18716 38277\n78828 96804\n67399 77594\n11227 50497\n40397 50178\n54135 84451\n23704 53767\n10865 47105\n5033 36691\n23799 32041\n48397 86897\n56530 69512\n48459 54817\n48360 54687\n35542 94048\n7556 83073\n28319 34380\n3740 21659\n78589 91629\n20731 94037\n17760 54452\n27952 98409\n17886 87424\n9130 36530\n86590 93863\n41491 74679\n61006 71550\n42998 44814\n333 94330\n14361 43354\n8857 88190\n35758 50130\n68968 78939\n20689 93573\n45376 75523\n10685 46730\n61130 61272\n2685 93427\n75638 98254\n16045 97981\n75083 79557\n40167 72617\n44594 78603\n7446 57861\n21573 37959\n18151 73528\n16810 75566\n53318 57230\n2084 49523\n27064 47765\n19357 96536\n24934 77772\n2464 5383\n29674 71577\n10802 27747\n69070 74302\n5113 93434\n19570 47415\n87037 92885\n68058 77794\n2147 35629\n22596 56691\n51651 92237\n23340 76479\n32495 78123\n16492 33925\n61601 99724\n16559 78148\n62675 89237\n39928 42393\n83639 94455\n15744 79762\n750 29024\n45802 97894\n39166 70807\n50373 74081\n46859 87283\n61461 69287\n68704 89326\n27800 45066\n42638 46099\n32585 87396\n69586 85901\n48134 86205\n7711 79601\n1471 52867\n8449 40928\n3640 64576\n21956 49720\n78486 92566\n92902 97444\n22365 36205\n35034 41823\n13999 31544\n9502 98713\n2730 49204\n32256 94405\n6268 86862\n30267 94303\n79571 83537\n80398 85533\n2798 6105\n79611 91682\n14499 56933\n10668 18133\n12871 34446\n58035 68975\n33778 39513\n99503 99839\n3303 39322\n40295 96053\n15284 99622\n52333 64664\n26951 53590\n46464 87349\n19308 44187\n71725 77222\n93449 93565\n33107 40291\n8411 87115\n59114 84004\n53621 55921\n34824 93163\n38551 44692\n31441 75197\n65352 94127\n71034 77620\n11550 48205\n67261 93927\n36006 85289\n51497 85325\n10023 20713\n5910 76260\n80348 97381\n2480 20123\n27536 92623\n3859 81700\n42521 71662\n54508 96690\n3008 69644\n84150 97095\n45422 73920\n24433 59186\n73985 92407\n8467 88994\n28627 38877\n42443 80384\n16169 59091\n79210 88170\n12668 91293\n56454 87155\n29116 35315\n24932 29448\n25379 49360\n52055 89901\n37588 57131\n12342 67993\n3412 27375\n2551 24172\n38736 86498\n26747 37763\n88898 99414\n6826 78721\n911 69903\n4662 11496\n76995 99033\n33989 98178\n5232 50917\n38836 43595\n22176 35719\n4419 71493\n11196 66749\n9177 28302\n70363 95979\n5622 11547\n12438 74752\n54441 99290\n31159 77967\n61721 77591\n45494 97663\n41824 63081\n41084 74176\n1619 37870\n19029 55284\n3185 55245\n6189 16965\n49598 65867\n74795 84230\n50597 53368\n9193 55592\n20198 95105\n39283 45583\n32936 95357\n22670 56364\n4602 92900\n6960 63841\n17889 31873\n34873 86023\n1286 31143\n23848 34910\n40529 69093\n62461 83078\n54154 90129\n300 59493\n17887 22090\n66430 85304\n42612 53739\n16671 57231\n14679 58109\n42943 90814\n10145 99923\n90920 95585\n63394 81225\n23272 36654\n57777 69754\n32680 94875\n27877 48312\n92787 98765\n51045 62798\n41945 72280\n59454 85790\n69924 77405\n15334 92861\n26021 79270\n76941 80126\n61287 82328\n13560 42711\n22175 45372\n39711 53476\n62295 90598\n50320 51655\n6052 42026\n23029 91789\n10877 35269\n10995 18845\n13620 28628\n63307 76345\n42860 53626\n68311 68988\n81654 92643\n48228 80355\n87331 90536\n40279 70455\n8827 67084\n42587 78500\n2839 6352\n11481 43571\n17043 20983\n36748 47396\n94318 96237\n18601 89128\n1785 65643\n956 3749\n18415 30030\n48378 59307\n58843 76663\n65210 90578\n38198 79002\n55081 93450\n78084 82752\n62927 71095\n25381 83226\n24835 52261\n29613 55439\n1153 2138\n45308 80691\n69779 94382\n9396 47652\n57243 95926\n58388 83151\n22114 49318\n41369 97081\n45373 48991\n69115 83820\n42604 88127\n15684 41902\n28518 85216\n83727 99023\n19050 29073\n1774 78490\n5847 95680\n19559 54568\n10542 69108\n45662 99428\n23726 29046\n4796 42789\n47747 84466\n17653 68481\n20079 41842\n58007 67004\n31500 87143\n24747 69104\n13473 59279\n6977 9507\n10538 68977\n13260 95530\n51305 79852\n26390 54258\n71835 90750\n12947 68756\n5589 79827\n11270 33267\n709 67061\n186 855\n42459 76631\n31234 77129\n5485 42111\n35718 44665\n10834 82473\n20509 80003\n87378 88347\n15037 25807\n18388 62742\n57552 93743\n14288 58345\n28519 60764\n14394 97279\n96328 96528\n27410 84699\n61843 88747\n46904 87928\n14145 58954\n15621 93501\n32309 99576\n51939 82086\n52926 75077\n39208 52637\n30661 52263\n12997 79782\n27424 92669\n1418 83847\n5050 11188\n39190 86708\n30847 78822\n24127 53765\n76971 96846\n31441 70736\n39936 96922\n55789 70231\n30404 71575\n24741 78573\n45781 98192\n9210 92904\n97060 97172\n6323 18306\n70677 98128\n28033 65913\n20529 80198\n68543 80069\n75469 77404\n29903 64847\n9664 57117\n72426 74244\n8636 10468\n78711 95571\n3919 19293\n45164 81194\n17424 49747\n32103 88169\n37849 92101\n17316 84208\n39915 57253\n29744 59587\n33066 63640\n21862 39471\n68385 76541\n35885 76274\n29892 92758\n29020 91325\n9598 40637\n36968 50187\n719 39349\n68515 95069\n41541 98666\n21182 22091\n660 10809\n61163 81355\n46756 67451\n81685 98347\n19760 89699\n27932 36764\n19753 92814\n10324 83595\n18337 93275\n50649 88439\n53379 92041\n18521 50820\n53415 80242\n1020 2013\n2818 56920\n69293 93233\n63566 75426\n11669 46537\n24812 76769\n31543 97587\n70266 82271\n29025 36138\n9246 22564\n23316 41739\n6709 56219\n7056 8570\n21639 48047\n22966 74870\n4690 63507\n19537 19567\n20931 94633\n64778 77850\n85325 99978\n34847 36274\n17134 71267\n32041 50724\n1413 40277\n4166 38928\n8860 30915\n76281 90617\n47385 49671\n4656 41714\n53474 83040\n20176 64488\n41997 59581\n27010 28689\n50683 97199\n55001 88096\n12058 95680\n28330 97477\n64273 84384\n43830 99340\n40932 41114\n12237 26571\n68935 87155\n13161 85598\n5901 80009\n7773 51546\n59435 86146\n39119 79142\n19874 65045\n89610 94960\n51393 70450\n33169 73839\n6329 94077\n5302 98764\n56765 90164\n18644 23975\n2538 37390\n6766 67596\n78970 88876\n33579 75039\n39364 84940\n252 3439\n21351 81046\n18967 69281\n15756 83984\n24950 53031\n368 86170\n4901 96112\n12669 24739\n81599 94260\n17031 65138\n21390 61420\n15728 72193\n3330 13536\n41778 74503\n31432 80992\n56749 56898\n34660 57100\n1190 66824\n37655 87572\n670 95845\n22183 66385\n2259 80285\n78878 84961\n71272 97802\n42891 61353\n1808 46894\n43084 93247\n42585 64155\n69757 92073\n28677 43977\n13977 15474\n75446 76675\n48172 63722\n23945 26715\n37622 41671\n17337 93937\n63646 64429\n75974 97888\n29365 76649\n60430 94376\n59279 87179\n90199 93975\n34418 35355\n52849 55994\n49863 62330\n82243 97230\n15558 46489\n15328 51755\n10217 51892\n4719 74348\n11094 70591\n34177 95416\n17764 69192\n9686 17390\n72000 95381\n43810 82694\n28981 44472\n89052 90486\n17309 23608\n54412 66509\n57972 60240\n55929 64515\n47197 72820\n14061 66807\n5563 60165\n37758 61348\n22810 97667\n3667 67054\n39407 60498\n61685 67961\n26090 26150\n35911 80820\n1036 58471\n34528 43705\n7625 92511\n13989 44596\n16168 33507\n30388 96957\n3497 31271\n49817 78235\n21428 46788\n24613 54862\n21638 86561\n9073 59232\n68284 81673\n15101 96860\n6742 79013\n51840 72708\n25258 80950\n15878 69164\n46390 69083\n20504 28344\n68612 77038\n32956 85703\n65330 69015\n18479 42321\n74602 89693\n85699 89007\n23826 85891\n25274 74758\n35702 76505\n13371 67433\n33630 75147\n86022 87192\n3980 47360\n10193 43640\n73550 89627\n72877 76661\n20244 63845\n52425 56504\n7422 29788\n14996 57521\n62287 95909\n23662 91296\n20713 92131\n10189 34538\n20756 94936\n46394 81041\n12266 75407\n92357 97526\n33552 85397\n14302 86993\n46998 72287\n15171 41778\n9901 76077\n44971 59199\n28586 53604\n66922 85222\n28186 48046\n20506 75425\n2164 69329\n49856 78657\n53516 56593\n5482 99441\n32389 82608\n36848 72809\n29717 96034\n10224 71632\n26124 34770\n67007 98357\n88689 91640\n44529 60034\n14674 53591\n7763 7940\n870 2683\n31008 69708\n47179 83513\n84227 95771\n6999 67411\n21415 72915\n12743 65993\n5443 82800\n85076 94783\n24397 71384\n60712 64677\n43792 84950\n37554 83117\n13532 82344\n15431 41517\n29310 41628\n35429 83305\n5690 67879\n6659 53198\n49857 88321\n17916 89034\n24260 25543\n22579 77973\n69952 74913\n67408 80533\n52052 73746\n20061 58926\n12959 18913\n20281 73368\n45637 50447\n37933 54973\n33984 68333\n51533 75188\n11998 20542\n69506 85244\n31514 77001\n40281 59633\n76237 95560\n11134 26231\n54492 71968\n23769 54453\n40468 91371\n6567 72267\n64090 97757\n67572 72492\n9774 90302\n71815 73665\n56878 61653\n39722 75502\n60537 91787\n94063 95397\n75613 79188\n36302 66602\n53236 56330\n49425 89636\n13692 14158\n1311 68651\n67272 70609\n1258 53393\n51508 91219\n4113 83653\n18029 22644\n76753 96905\n9983 26995\n13479 62888\n10828 67960\n44203 68325\n68603 70786\n2189 81613\n68940 80376\n8895 78100\n815 99260\n57506 65385\n7014 90882\n22754 90530\n36528 79507\n8219 59982\n11344 67776\n6791 66822\n55502 67046\n49713 90908\n55753 96975\n25284 83137\n5382 52493\n37195 39858\n31710 79738\n5899 98862\n25212 96853\n1966 35877\n81677 98542\n21890 63351\n21777 96159\n13425 18828\n51552 52860\n42595 67314\n42005 97500\n53466 82521\n84529 88118\n66441 92270\n25947 74959\n35696 42537\n74502 92836\n36892 60877\n11939 59242\n18996 97237\n24433 91059\n62765 89219\n54660 83548\n33476 41210\n2159 61088\n10996 25337\n2767 7004\n34713 94117\n60168 72289\n25127 33116\n47945 51362\n30011 60744\n15061 17247\n35338 87330\n38771 50216\n48274 50742\n48648 66513\n46957 72303\n1341 48391\n22843 36138\n9388 30816\n38092 79201\n54511 68116\n45186 56671\n29007 42740\n47592 82279\n14182 68096\n1449 23945\n6326 57217\n16534 73220\n35433 72683\n9823 86533\n7128 79579\n12999 84862\n22941 43488\n3194 27575\n46404 79879\n2586 67337\n46833 54241\n20587 68241\n56513 59002\n11059 52000\n16774 82166\n10891 90680\n27710 53569\n8437 55939\n63487 67812\n1179 39409\n5419 37197\n28788 61242\n67569 77179\n47042 49193\n14591 82738\n25945 75479\n22217 55220\n33496 85148\n42065 91196\n70959 88590\n65451 95296\n48369 58701\n1482 31755\n1717 35248\n59036 94949\n45596 94771\n9986 21042\n90155 91712\n60538 74020\n28787 45143\n78707 84011\n53985 86250\n1249 9344\n13565 16455\n32579 75697\n73998 76409\n18105 63239\n3394 59838\n1160 99006\n24713 56581\n21611 75718\n52358 69748\n18877 36132\n6074 94259\n55854 59404\n43826 44048\n39002 39092\n6730 61686\n8759 75130\n50582 64150\n65835 97086\n17187 62482\n29319 61957\n49052 93830\n8207 92614\n23718 78371\n15808 42830\n213 96059\n45973 48139\n1570 62220\n16843 80674\n16385 67214\n88392 98877\n15789 83384\n37275 53912\n76120 99352\n67083 74126\n19701 50851\n22948 64095\n29614 55907\n14594 17928\n65221 75028\n74798 74982\n16531 96111\n17930 61269\n39485 79285\n75594 98443\n25408 92108\n51428 80289\n66496 80331\n63276 95382\n56793 94942\n33808 55874\n49950 65441\n86576 89527\n60311 81931\n5234 67535\n36391 37262\n1347 67928\n42505 83370\n12868 19148\n12109 12797\n9000 80739\n38953 72487\n36507 50267\n14867 16993\n17911 46281\n35212 40096\n15811 45193\n33265 69254\n48811 53636\n24759 26703\n68178 72482\n32815 60561\n44511 69183\n44422 94348\n39196 93584\n49975 71383\n59225 82932\n26331 45121\n13365 87039\n14148 54797\n22808 32601\n70233 80122\n68291 87924\n43166 97069\n1808 21702\n3996 47515\n22379 26758\n16 16716\n48653 67906\n19438 29696\n62280 77086\n62863 79665\n14011 55429\n58441 68045\n4054 7538\n59786 87400\n158 83467\n9737 23471\n24658 73494\n4240 98188\n5692 68521\n11025 74301\n8259 42383\n27470 73711\n8001 35431\n59243 98211\n508 74728\n52708 76514\n4322 46557\n38008 60828\n69619 89024\n92068 98555\n36942 97701\n24031 60967\n19554 43644\n80460 85448\n54880 58911\n2198 94547\n6892 79287\n62851 75274\n90608 96035\n4259 60462\n87087 95753\n54363 83123\n24109 33279\n48052 68574\n25236 49154\n82999 94910\n39006 41236\n16746 18429\n4246 52237\n9933 62797\n26147 56853\n43571 70535\n43535 69918\n1870 49717\n63361 64857\n22795 75043\n48477 71338\n2597 55500\n70718 84121\n96587 97729\n10075 69895\n9601 97377\n46370 83939\n30241 95222\n11021 98682\n47103 97716\n66949 94299\n50157 69293\n24558 99105\n38187 52009\n7298 66156\n3495 93622\n54213 70034\n27135 57109\n63579 79486\n49817 89157\n2398 25291\n40010 93985\n28031 66710\n60664 84776\n63290 71893\n24956 42038\n34253 62572\n50604 77169\n2180 95158\n5996 69719\n1492 87466\n56361 71105\n50305 65181\n12740 84581\n31680 83644\n8134 89509\n39422 51659\n24876 87554\n104 22617\n62242 72527\n27713 92825\n34286 88306\n35099 72301\n24529 44012\n40478 67557\n12393 47960\n36597 77529\n40509 68926\n40231 62557\n15973 69241\n20062 70525\n47804 48944\n18854 22329\n3801 58874\n5806 65187\n9833 81297\n57118 68856\n47655 80283\n63331 65064\n373 78315\n15485 93245\n84578 87123\n10467 86549\n32217 35189\n22414 52336\n61071 85480\n27893 42807\n1677 14965\n23211 43487\n21525 24951\n63001 97077\n29634 88768\n37196 62901\n59393 95266\n35711 46812\n49901 51941\n36630 85436\n31122 61584\n50674 97644\n47110 64052\n34971 38946\n37984 52927\n16991 31176\n3998 98747\n65761 98894\n6935 34513\n39878 59732\n17407 44706\n5572 33293\n28613 40810\n46195 77625\n58585 91860\n42212 78852\n44018 84639\n2938 50054\n21742 48630\n41223 43416\n71251 99033\n2640 36180\n41266 70452\n43584 64678\n28418 39646\n14967 41875\n26390 45668\n76683 88375\n1001 9108\n10563 79138\n33133 65793\n8835 40289\n35053 78404\n69295 82271\n974 94209\n20112 46251\n19756 21233\n45728 91702\n96258 99072\n36107 86313\n1999 17496\n1136 28912\n67342 94618\n37394 43891\n202 57808\n78635 88277\n13186 75150\n44848 85517\n8619 71300\n30429 80496\n24521 71430\n6315 53363\n25744 27419\n39729 87857\n7551 58777\n69914 99381\n43776 77002\n13202 14429\n6615 64099\n8935 88988\n70345 84274\n5397 49583\n25793 42931\n5428 70232\n48119 55892\n45436 88844\n54437 66672\n42832 43214\n18993 60302\n2257 21403\n44452 68684\n58720 83622\n41972 43623\n58401 73572\n28729 85583\n54168 97963\n75210 75909\n25753 91660\n21479 87681\n15569 46092\n4656 6059\n39925 69410\n52634 79945\n79482 80835\n3599 92863\n18399 44525\n43501 60888\n41838 73968\n16136 62427\n15549 20886\n14586 60747\n95159 98018\n19154 74840\n39264 63643\n10452 15964\n32168 45047\n11739 17125\n42563 68381\n4714 58151\n35062 69689\n15573 58367\n34794 64443\n36831 60723\n17262 61906\n67295 94503\n68860 75131\n20611 36727\n32811 68458\n39827 44363\n80657 95775\n22913 70148\n71856 98874\n2870 46867\n71885 75532\n37408 76717\n43300 65576\n59693 77697\n6045 72434\n84710 87586\n31168 94981\n21938 51555\n3970 16456\n38867 72846\n2389 74309\n65763 81247\n7806 48869\n36380 85971\n73326 90069\n46893 53954\n29701 46673\n15165 34334\n52803 96116\n4503 68317\n60581 96564\n30517 84239\n58880 67899\n9454 45935\n27298 30555\n55210 83751\n14966 18905\n7542 30397\n44998 79883\n30121 55667\n40083 79647\n62095 98721\n39589 79969\n23718 71354\n18709 46907\n52514 77020\n48470 49594\n15805 56506\n10530 13309\n3065 34061\n65856 89146\n4675 21054\n19899 88224\n76743 90877\n16350 92926\n34231 89705\n2152 70655\n23720 50897\n4319 49010\n36256 65771\n90600 99820\n77513 95668\n44727 69829\n55315 80228\n14919 49264\n24494 32036\n24589 71045\n48253 86319\n22974 56385\n70304 91689\n1876 20574\n14374 63894\n33265 45613\n24576 86132\n27118 68058\n32367 62648\n79251 97945\n87370 94363\n15822 49237\n33365 87869\n2748 44328\n32953 50671\n43321 50115\n9415 35474\n8176 17523\n20197 75326\n55855 91724\n4738 32990\n57069 86785\n1295 32737\n14722 39584\n15792 70969\n17994 86617\n7934 44686\n2048 87366\n24762 25023\n44933 99144\n54524 57033\n60858 94978\n8000 69009\n35961 56763\n75384 87155\n60815 88937\n44571 56803\n65108 77033\n70206 99325\n26372 94721\n7327 95682\n90538 91399\n64464 70197\n9878 11183\n1564 59186\n55879 61910\n6366 10024\n36919 71244\n658 18294\n66812 75883\n83337 96025\n26929 73180\n28623 97422\n58357 86886\n90791 98314\n11576 34250\n68699 80249\n33134 84511\n37471 40829\n17962 98867\n52856 61524\n41332 79352\n57753 80436\n24874 57014\n4566 73357\n1155 93274\n3479 73529\n10162 43380\n44958 57764\n2775 58079\n10226 73417\n6369 93784\n35967 77612\n68809 92399\n13444 66310\n30174 84959\n27079 49605\n24478 34181\n87272 99530\n83766 89295\n19231 82637\n27460 64458\n64980 89975\n37465 48483\n751 66716\n30745 63824\n79082 90626\n24882 92288\n18257 31708\n32776 44567\n78314 80121\n65537 75330\n280 14697\n5313 99209\n30134 35216\n12820 63136\n37368 46899\n54139 94774\n71768 87152\n23593 27124\n642 33454\n56732 72409\n48516 79151\n46977 83535\n20297 38283\n72306 76784\n64344 89957\n41681 66523\n30761 96847\n45491 47863\n30778 38530\n1946 78442\n45224 68668\n7896 42414\n15898 65033\n18276 58568\n9621 40402\n8276 14801\n48468 59398\n4793 55519\n3167 10369\n1896 76764\n11876 95394\n11510 39019\n28085 55071\n8349 62194\n17932 25418\n52584 62518\n43740 58297\n27899 89483\n56727 65402\n21598 71670\n75646 94006\n14984 15256\n31271 52135\n27663 78009\n27485 89352\n48611 96872\n54530 84374\n57132 64159\n17182 99028\n67177 69458\n36659 48084\n13582 76437\n48617 70149\n25129 77542\n52715 95005\n30384 55870\n76625 87461\n40354 43436\n67376 78249\n53600 87095\n16111 74226\n12211 55546\n8820 62315\n42924 67443\n10090 32554\n34882 91036\n29846 33317\n6339 64422\n35370 44719\n11403 21209\n49492 76262\n6321 14053\n18694 78672\n80589 83806\n1542 15495\n33579 61767\n42254 50112\n9689 59125\n5907 54397\n189 28238\n84417 88488\n27987 67086\n18988 78825\n51476 66589\n3793 30631\n11031 34786\n7985 59575\n54808 75512\n20003 57150\n570 75938\n3213 35356\n18942 96131\n35531 96021\n26719 66562\n50877 73782\n16225 19360\n14451 74263\n75662 97703\n13052 31393\n6071 52222\n18121 36644\n57122 77363\n92917 93158\n81200 85959\n33172 86970\n48438 51450\n28415 84527\n16237 60269\n23730 72643\n51503 94117\n3074 51604\n11056 19759\n26442 86215\n45260 96081\n94222 96657\n12585 14844\n3898 17500\n6253 76384\n16047 44365\n20222 72252\n19151 86123\n73938 76211\n44845 87793\n26133 66200\n17854 76520\n21501 57395\n374 21532\n58155 59045\n28312 76292\n53584 70243\n49498 69759\n6354 98225\n15381 44180\n35809 40079\n23774 45574\n14348 31212\n73602 91678\n25915 79872\n58263 85863\n19053 95915\n24905 53154\n23056 77797\n94354 98489\n46414 67890\n4043 20799\n51971 96665\n5170 98579\n23935 72456\n1893 56372\n85138 88502\n45670 47617\n21071 47089\n17790 74608\n56813 74428\n426 32784\n40808 94219\n44458 47231\n7640 29557\n34702 44369\n10837 14815\n67614 74254\n28806 54320\n61498 91418\n67404 95368\n59863 64221\n1768 3932\n73717 83006\n6075 37123\n4588 73065\n57731 81103\n6440 49871\n2587 39492\n27898 59023\n69052 81969\n1349 5509\n14317 58525\n29709 52484\n38915 67232\n27962 67761\n32484 96411\n89583 90824\n19246 67724\n20430 26283\n1681 5150\n24214 57232\n28407 96461\n51626 92127\n68387 88644\n1685 81855\n8276 43174\n15417 86360\n61085 67087\n10459 75023\n1955 99796\n18231 74851\n8523 87175\n14909 78932\n6574 41707\n7094 19140\n51101 62786\n33490 59267\n22754 73497\n4891 19247\n7734 80463\n7172 62176\n40404 84792\n63278 87610\n87303 93330\n65530 88907\n9082 19457\n52037 59465\n73710 91778\n10033 83199\n49638 75000\n19092 63575\n70797 70868\n82875 98679\n15251 52506\n26732 48572\n57774 80044\n36012 79000\n16839 23706\n35808 41446\n26243 55285\n37009 56051\n27834 84265\n2979 52284\n21391 40568\n10030 14531\n57735 88723\n65105 90206\n14173 16572\n34457 72677\n62756 86206\n47581 80728\n43161 78725\n51226 85353\n14055 64444\n44215 81520\n40925 80591\n59943 76454\n12508 25982\n4825 12645\n11484 38790\n37481 69200\n42422 75529\n42886 99452\n49579 75864\n46998 70532\n13821 31476\n5332 77297\n16576 53704\n73401 80926\n9899 80695\n11418 89462\n66038 79847\n13763 15144\n7067 69794\n48705 74974\n28789 38454\n13692 42346\n43454 54613\n22177 70803\n23614 30174\n60570 85276\n9949 39214\n27912 52331\n87230 88120\n6378 15612\n72192 76145\n85940 90025\n58967 72648\n11132 72351\n34339 38276\n16355 58816\n32669 74428\n55432 90435\n12819 59917\n75899 94925\n51117 60557\n76099 92359\n26345 63614\n51584 59156\n71382 74847\n22845 93835\n77545 95338\n2870 14446\n31134 74890\n60067 95604\n34830 45756\n22592 80797\n2332 77030\n3300 36782\n12469 34413\n11244 76610\n75134 81301\n45297 79092\n92801 93099\n57977 93189\n13693 66335\n58279 77794\n45109 57521\n45039 68613\n61367 66044\n8343 28604\n38807 72543\n44056 66538\n29843 54532\n8255 29602\n19762 23387\n50162 63328\n15420 17845\n36532 49095\n95697 99328\n30175 96505\n18702 55075\n54142 78980\n30006 94902\n3635 39250\n17280 29472\n61402 91011\n12129 56681\n85877 92953\n11450 78946\n17587 53753\n35211 39165\n20879 95297\n50705 50797\n68747 77143\n44524 77896\n12826 97445\n45217 82141\n24709 33682\n45445 55777\n8451 73540\n24138 48198\n33319 48341\n4166 39788\n26837 88871\n50085 65636\n12119 25744\n47941 92336\n56711 60692\n48486 52379\n34471 76484\n34073 94814\n55830 75216\n73821 93153\n49392 64205\n29126 98364\n5407 42181\n2211 64212\n34602 51190\n34865 86742\n29396 64617\n67868 89098\n514 33034\n10212 64580\n28496 53492\n3479 71668\n25449 85669\n47539 60539\n18069 99458\n8520 92629\n3912 28762\n527 95354\n6944 70343\n35050 94280\n4893 29526\n16904 21761\n462 42023\n60877 65461\n42600 65981\n20381 49703\n32270 38531\n70215 70552\n17956 37648\n30802 58473\n2826 69587\n3761 61276\n8863 17099\n41997 86262\n31641 31939\n62040 98706\n11248 80469\n20373 51056\n77220 83219\n7716 10073\n18235 59953\n27406 45855\n5230 42936\n15121 42979\n40272 53054\n4485 53203\n50095 52261\n5300 90195\n13805 20207\n58469 75548\n74990 92299\n45741 80374\n3182 6965\n34033 78223\n27307 35790\n10145 31365\n43752 90997\n69290 84457\n55365 63523\n37343 61753\n53181 89087\n4853 59162\n39850 74820\n50123 51743\n35855 93409\n28528 61739\n10437 59012\n53603 68209\n15837 18979\n63090 97266\n403 65400\n4740 62590\n56569 82132\n6751 80018\n35204 99112\n61538 95831\n8563 74818\n48671 80175\n15959 93356\n43505 47993\n36232 98557\n13163 52279\n1311 75734\n34069 76977\n62301 79415\n11278 36467\n8816 52233\n32349 37693\n76821 77665\n11060 67787\n1145 20795\n38318 44769\n25464 92899\n12887 94756\n36926 78332\n24046 85401\n57580 71536\n68350 77821\n13482 42126\n69168 80040\n11525 74842\n47212 92735\n10275 57570\n7181 90916\n51187 74830\n8489 41814\n51901 78705\n32326 49977\n27017 43319\n53200 96764\n30607 84452\n27995 78554\n46761 52177\n29423 55862\n785 71904\n35293 46364\n9102 96059\n48856 51379\n54448 55282\n69851 79365\n31597 59900\n22657 89196\n35197 81561\n69908 91062\n1958 58425\n14491 23241\n69985 74160\n3675 68223\n68699 89215\n95508 96166\n45251 52831\n38360 95425\n8714 67958\n36632 80133\n37387 98276\n17808 64161\n3515 68021\n30671 92570\n11909 49836\n22611 26350\n13073 74126\n59445 80083\n54835 61035\n20279 83369\n8517 46135\n19572 70015\n28292 84891\n2706 22975\n35418 81699\n5927 32632\n83178 98684\n7528 62463\n13910 34139\n11747 54216\n63944 98987\n87888 95547\n4999 97649\n12840 25632\n21763 85056\n62699 91913\n40757 77438\n9656 63923\n35093 79055\n6613 56435\n46231 56257\n12243 70318\n61309 88922\n16680 55417\n73032 84443\n11985 99220\n70409 72158\n47357 75235\n4219 91748\n303 62058\n20493 33892\n50958 72587\n69139 73910\n5326 50476\n35956 99885\n1440 99601\n58847 63202\n6314 33575\n92585 98180\n28289 37956\n86319 91907\n49100 79680\n82380 95878\n30754 92445\n89 85647\n12374 48766\n155 38262\n34883 68975\n1961 94929\n64045 65537\n32222 65908\n16221 61614\n93097 99284\n37506 80729\n94097 97069\n31649 75429\n21658 56140\n33751 86844\n4713 82937\n39214 71296\n9022 31656\n38742 67478\n66750 95617\n41202 47552\n7246 17555\n19777 95589\n71566 97845\n14599 31644\n59610 89997\n14046 85638\n57768 90681\n38249 64179\n68152 85157\n43736 51868\n48551 68212\n33936 92898\n32232 77364\n92687 93218\n47694 87851\n23299 65525\n54939 92211\n90231 90719\n12576 97142\n3609 48583\n22346 63536\n34934 69886\n49235 95847\n33439 49913\n74105 90749\n60099 82233\n94906 98300\n77313 86507\n83682 87278\n796 36310\n32052 96782\n5265 76310\n16924 45841\n37720 40629\n4888 35623\n9546 33143\n24887 80397\n40518 61293\n21129 32551\n13411 63487\n1032 72369\n38521 45521\n13687 76787\n43013 59896\n68049 83509\n89660 99684\n13312 84680\n13035 91701\n27524 84724\n42808 84749\n76050 81333\n33464 96750\n42713 53972\n50128 61093\n32418 34429\n30401 70849\n56777 81500\n17468 29588\n59254 85119\n73717 78589\n61813 73954\n25317 52346\n6291 35646\n7331 82658\n61038 67907\n23287 94904\n11718 47655\n2132 73141\n5413 83940\n67400 73205\n2227 29084\n40559 73774\n40741 82675\n21458 91963\n8244 20417\n7208 57192\n13508 52548\n29153 33522\n13488 42747\n48102 74434\n38296 44380\n21406 70616\n7891 38289\n33306 55322\n55283 76558\n90695 98204\n34904 45261\n66305 78149\n20971 96184\n1354 96550\n78187 97408\n22839 86793\n72574 87713\n17147 28335\n3179 12933\n1763 95056\n17478 75969\n69202 99307\n31472 64202\n34993 78286\n47288 83148\n68524 75439\n15658 19322\n15948 71365\n40694 94115\n25764 57364\n8066 47141\n43757 60358\n48879 52758\n26749 55071\n13097 34133\n18253 70418\n12661 12683\n14914 90816\n17887 99588\n41738 53539\n12330 89284\n40828 90912\n13130 71182\n82780 93158\n82018 85571\n25612 56689\n57786 83892\n56787 67407\n45716 61340\n21724 84276\n32325 64013\n15303 97514\n36680 57873\n38904 79897\n39914 59070\n38379 46671\n3935 97336\n13 51543\n45047 67562\n89779 92892\n72749 96888\n4833 67428\n5217 14980\n10146 79878\n2403 48008\n50997 61727\n16780 95507\n48678 62140\n43037 49316\n75857 80591\n89893 90219\n43865 58246\n58631 66500\n61510 69542\n62555 82831\n57463 73155\n83207 90951\n28291 99533\n8672 15336\n56135 61358\n45886 94441\n27785 77107\n68426 75422\n79088 79995\n1319 3421\n19136 54689\n76031 86512\n5331 63023\n16772 20008\n25924 33266\n18489 65484\n33214 66241\n35292 69896\n38308 72919\n15715 79591\n25235 46253\n21032 87727\n4059 36769\n25002 81248\n5000 83072\n44157 63041\n73724 94164\n37514 97613\n73530 97832\n21632 88541\n61651 80561\n35705 97136\n19497 70047\n59925 93072\n76074 93460\n2829 47692\n81685 89993\n25272 72143\n14498 63315\n5067 9672\n62884 95368\n61496 93501\n166 13986\n29699 92048\n35770 63650\n33593 89882\n11217 42506\n19630 72745\n32172 93304\n59748 85901\n53116 83178\n39598 45216\n59488 59532\n3732 15973\n8399 83771\n24910 67560\n15980 60718\n511 85421\n13794 74658\n17369 91987\n40480 41451\n45792 95065\n60219 98596\n76447 83996\n57551 92772\n27007 80960\n8314 41936\n40089 42575\n10180 87429\n46694 78435\n36947 47544\n45027 55897\n86423 93947\n23576 33704\n11632 38755\n88674 98182\n25138 72977\n4839 11407\n60363 71762\n9394 20072\n53333 90829\n13179 43987\n67437 88472\n54161 58310\n7927 32238\n62297 85823\n23575 54645\n70158 86488\n20707 94603\n58857 64662\n23036 25389\n2535 17077\n11441 97486\n69351 78022\n34775 96399\n62070 84795\n35250 63239\n60751 63629\n44314 86663\n68337 83434\n74877 80829\n12620 50528\n29801 80775\n27617 46029\n7318 77688\n28137 61437\n69853 74585\n16571 96073\n39038 74001\n22704 33341\n21223 60277\n15453 56934\n28714 33835\n8233 24004\n63033 73289\n77778 81993\n45268 53763\n38437 86823\n16189 34893\n31581 71740\n44728 57788\n47887 76867\n19185 83822\n60962 88081\n84124 92107\n22042 37301\n2981 4168\n18739 69612\n15618 61091\n52684 68437\n14975 33065\n77411 81410\n92657 96391\n23428 23741\n31398 86660\n25249 31497\n26068 44589\n61057 72728\n57527 95855\n26530 89183\n2567 36690\n26839 29001\n52503 85325\n55204 91196\n47824 51012\n14460 77462\n18080 99408\n15291 97113\n16766 40613\n51258 67384\n29674 82118\n18886 53734\n1383 76198\n21870 97873\n28459 65958\n22021 67491\n54510 95712\n14128 35544\n10131 45655\n26300 87821\n53509 98475\n11598 54345\n24147 60328\n2392 47882\n39443 43073\n14352 25597\n62055 79639\n48394 79968\n896 95000\n36769 48394\n25618 78237\n51655 57309\n13311 66832\n14684 18243\n27797 83745\n24253 41903\n36420 44820\n62591 72577\n37960 55679\n41084 70531\n6689 30504\n1728 22716\n15444 43513\n25818 58799\n3456 82406\n9702 68693\n61056 91946\n21998 29578\n73727 86424\n65215 93464\n64313 67789\n85167 94474\n60033 85037\n41290 69398\n8371 40467\n3839 26674\n42629 75696\n87025 96149\n25474 67933\n26057 81989\n13108 47619\n89597 96724\n12051 28773\n1042 72326\n83150 91099\n42228 53826\n14130 61475\n57577 60195\n49416 77960\n25645 40205\n3399 89004\n74338 84112\n17613 48138\n67326 97632\n3259 76321\n13641 74082\n76562 78184\n59570 99132\n3211 52406\n42663 73612\n8075 54062\n82716 97464\n30458 45102\n29648 66714\n1567 19776\n77075 90735\n8533 87717\n9641 47295\n13342 19499\n81153 83639\n11591 96469\n21477 60152\n30828 56185\n43644 45820\n63918 92015\n43147 87948\n52411 56221\n43163 88142\n26468 74725\n20390 81116\n19328 79951\n84385 98692\n31802 67774\n43080 72880\n31574 89858\n42331 51970\n69728 71592\n46095 56772\n18107 19318\n439 47813\n62112 93116\n64549 90949\n35220 38756\n60987 93062\n172 63597\n13849 81872\n14481 89739\n2572 23837\n20820 45796\n27337 95568\n41451 47968\n28832 65205\n19688 80858\n6974 65369\n43540 73372\n79131 79595\n35996 53203\n64604 77897\n46863 67892\n65395 91769\n4827 34140\n59673 88123\n16312 78937\n31801 49071\n51909 77805\n23125 30500\n10341 33861\n63015 94395\n54490 92947\n19027 23585\n33795 86091\n12956 40057\n15595 76741\n15592 32664\n35191 73810\n12144 24636\n22023 63359\n11377 99768\n25113 74013\n46524 71621\n67260 84516\n67747 96901\n31629 68808\n8130 58578\n7421 18509\n37903 79121\n19250 24535\n1741 68917\n9325 21987\n1336 38023\n91985 99031\n30369 88270\n9977 55873\n25099 43143\n51223 76174\n13532 15633\n28644 71414\n24130 79665\n61087 68486\n39207 95333\n96352 97328\n4854 59089\n70323 83684\n69428 70361\n13428 99672\n91947 97675\n4779 93492\n4759 96379\n34138 42547\n7170 26832\n17627 95567\n3558 86630\n7646 80522\n3530 79545\n38686 48394\n64037 88812\n28133 74243\n26323 92599\n37720 77080\n41336 59316\n21381 42825\n62107 64069\n29397 47531\n43127 87875\n66223 67712\n45595 97517\n15686 24614\n32946 44199\n347 71441\n63822 88925\n23413 39660\n44962 64905\n63213 88953\n35843 65403\n4818 17158\n75385 88774\n4145 70187\n17389 35169\n17636 86583\n40756 50722\n37516 84840\n22384 50500\n26788 96177\n5509 80484\n20531 50501\n10683 96559\n12568 33572\n62075 65767\n1828 92537\n3390 23775\n39097 63232\n47869 88033\n16216 72302\n34240 53645\n20958 67346\n8624 43957\n189 82196\n1869 34080\n12502 44923\n3796 34927\n3792 19591\n35505 76390\n3206 85249\n9197 15699\n14654 95386\n17221 39812\n33563 97534\n36912 94339\n8060 58240\n59957 96896\n66409 87291\n24350 98103\n67168 91918\n33811 98843\n8898 65102\n68383 84193\n33030 76583\n37479 71486\n59107 84217\n25458 51619\n20445 24560\n64577 92914\n1857 86072\n67868 69052\n13043 44204\n34106 90034\n69616 72174\n12506 17389\n54387 66300\n37319 85071\n37572 71907\n90576 91343\n3344 58596\n50989 82394\n72859 78382\n28844 31952\n15795 41797\n67690 81263\n32514 79534\n74295 80308\n11416 84717\n24484 40346\n2960 10887\n18387 29522\n23848 35991\n67086 75190\n44568 50307\n15362 50916\n11820 32886\n48728 63048\n53030 55429\n21822 37111\n47100 73020\n38864 45676\n1176 2665\n404 13291\n9759 74739\n39044 59322\n37431 81090\n67767 72663\n52841 77888\n45050 67051\n69110 80182\n41204 84430\n70575 94138\n23811 97492\n7630 79786\n17305 99832\n8970 77526\n6539 23307\n11405 56622\n71865 73789\n15295 61718\n66634 73600\n47918 50664\n79621 94400\n54863 68244\n16580 27475\n37414 39233\n4305 51762\n58017 69934\n66293 70026\n68676 85506\n2029 6193\n25781 27543\n17848 59687\n14993 55526\n7532 70008\n11530 78480\n10541 36231\n27637 34628\n24918 90133\n32425 60004\n59808 91963\n28916 41365\n24131 33509\n28799 44158\n61494 91959\n3207 27084\n22542 81113\n31426 49840\n72633 83174\n17094 22761\n72581 81070\n1439 9622\n7650 87056\n43013 79621\n27420 98249\n80248 95541\n35992 47592\n51110 73526\n16202 97413\n16467 58416\n969 49348\n45060 92478\n3207 15193\n77912 98094\n37385 87156\n2978 53900\n46887 72067\n52246 54697\n43990 71299\n5636 82553\n38214 96646\n50585 78900\n40322 41265\n33553 90119\n37074 57868\n19174 82679\n13285 52348\n6333 58037\n44759 83257\n44653 90348\n10432 64087\n87394 92046\n13728 15757\n25167 57788\n1208 29480\n10246 34475\n14791 81963\n71761 94756\n25451 63975\n13746 29018\n74867 95781\n80612 94390\n26840 98532\n65255 72259\n52734 92647\n60105 63772\n50901 59993\n36296 55017\n20821 90144\n12384 70172\n21551 90888\n53646 65341\n55114 94897\n24748 98939\n28902 99885\n44715 70665\n5858 92454\n18880 81758\n16298 80763\n49176 56754\n18022 42578\n39448 39634\n58149 60497\n31604 75054\n47678 87403\n11508 15697\n41259 70700\n8340 57035\n74028 93840\n80808 98475\n32346 43298\n52514 70026\n1308 11985\n2028 63869\n63194 81196\n70545 78729\n27279 45215\n54208 62292\n8981 71233\n38688 75928\n7171 64960\n2085 4191\n21354 28162\n42023 72330\n7216 50650\n12052 70408\n1329 98297\n64800 77925\n16570 45797\n1947 61784\n35341 56429\n34955 59514\n33962 41827\n3761 68665\n49536 97329\n10859 61804\n39267 79584\n45193 45443\n25368 83041\n34344 62650\n57956 76729\n36066 54404\n80189 92263\n16562 81264\n13009 79298\n47340 69122\n66703 91450\n10642 79690\n47727 84650\n13566 88299\n3412 73239\n39586 90591\n24381 80902\n80141 80707\n772 84864\n49219 76009\n12605 55296\n2868 85703\n36744 93561\n46990 58243\n69061 81015\n61547 92761\n25655 94935\n44416 76646\n9722 98590\n86009 90984\n73864 78114\n24740 27798\n34736 99495\n19836 69863\n12767 65795\n25882 60860\n94778 95519\n18679 31429\n24010 41125\n36405 90923\n69924 77257\n10812 95332\n31685 81490\n59178 83214\n1645 37855\n4663 9515\n55966 77037\n67055 73211\n7695 93067\n44400 72420\n80264 93166\n57778 91503\n2245 54546\n27838 61810\n20799 68730\n75627 92480\n9532 17377\n13394 30345\n34771 80273\n6060 55585\n16276 34229\n49673 57293\n5793 12169\n27584 98762\n35149 58027\n4662 9068\n15217 30530\n51107 87963\n68562 88021\n23484 95919\n22173 90415\n14677 85881\n75556 80716\n64549 86383\n33548 61772\n80792 93938\n42632 73396\n64869 65357\n36145 49772\n21324 41725\n7484 98511\n930 2467\n39807 58746\n24772 98079\n11816 96280\n79368 88833\n12140 70703\n2613 25986\n83686 96501\n21326 37728\n46284 50075\n34701 90458\n78837 97289\n3903 9934\n27951 85498\n46248 58731\n31949 42963\n12563 51433\n44540 80237\n86156 99876\n121 91678\n53043 78614\n29601 50942\n68751 81717\n33281 37692\n24719 69831\n51105 78765\n20607 35220\n31221 54597\n97406 99805\n17080 94271\n72359 99347\n2259 51048\n220 22291\n52099 53483\n1867 73274\n47822 63339\n29819 46168\n16642 86976\n19741 70748\n38941 82018\n85466 89220\n54245 62050\n44204 98226\n10159 15069\n51564 85893\n43317 81035\n87292 95006\n9330 36438\n22942 79803\n25097 52523\n18841 77912\n10805 90525\n6060 90645\n57276 67336\n22603 84355\n15884 54668\n13641 42267\n50930 56115\n784 80551\n17181 84099\n25600 88216\n43554 48073\n27175 86196\n31612 74603\n10260 23264\n2474 84645\n69826 82167\n28864 96114\n81263 91447\n68279 97487\n29351 39521\n26176 65156\n48216 48699\n23614 94330\n72639 85640\n31675 82056\n60033 88111\n5364 10289\n84982 85601\n13260 23670\n19397 25605\n15414 23828\n16702 73543\n19522 88320\n15169 36184\n21260 85936\n1527 91367\n44084 86421\n17855 98645\n20046 49881\n33912 48271\n33504 73680\n36179 80631\n50684 69352\n11012 72281\n44838 69164\n52831 82857\n9118 79371\n56462 91201\n20419 62348\n18846 27157\n7756 39438\n48140 96867\n2538 50064\n17266 48861\n56993 97017\n7526 40398\n50368 91280\n12983 32913\n22525 69640\n21623 26500\n25021 96952\n39260 93610\n84035 84854\n23654 32622\n3863 49604\n21787 58468\n8055 91789\n58205 77268\n53814 89773\n37980 90629\n1592 31359\n50756 99500\n43262 66865\n15470 57511\n11139 37702\n48641 62035\n16424 66680\n46931 61695\n28739 31348\n447 98746\n71137 83986\n25207 70687\n22089 31188\n784 80240\n53162 57117\n45299 99118\n21017 93465\n70018 86906\n35266 51925\n65167 77600\n34038 78039\n48072 48703\n18438 46954\n21934 31766\n27120 30884\n1115 81030\n69399 78036\n54643 83857\n41804 67881\n17470 42371\n8927 43403\n24697 88683\n23782 45442\n14865 53981\n32448 93519\n38450 81981\n44721 97654\n9520 29418\n2961 42399\n29072 48309\n21618 78141\n23299 91962\n20495 67990\n88042 90334\n7335 50861\n26825 81816\n56930 94656\n34871 49883\n41772 45763\n35112 48973\n7669 20857\n11347 32200\n14728 14830\n6879 30342\n69305 71946\n33610 42174\n45081 86790\n20118 61629\n47542 73099\n2517 83267\n18176 66766\n31464 73196\n43297 52033\n5017 15302\n56992 65342\n56277 79341\n617 4035\n2875 97183\n70982 80955\n3676 10241\n9459 43152\n1021 22816\n60322 82905\n26604 32908\n5095 81803\n27745 95698\n12302 55078\n6045 60822\n62786 69098\n49176 65207\n32061 91620\n36403 42995\n34141 87541\n1271 9867\n16358 33411\n75959 88527\n51286 71930\n23733 62446\n2653 38920\n15210 97304\n76897 88303\n23875 36346\n87883 88479\n54535 70393\n2669 26263\n46605 76306\n40890 52814\n29999 48798\n26465 61705\n18117 36333\n435 91971\n82594 88270\n67721 81924\n6254 98079\n3778 40390\n42268 99402\n25559 76222\n10803 69241\n22179 41525\n12355 59765\n21181 95891\n30657 73003\n44676 85267\n11193 72107\n70443 72327\n41236 53253\n67656 74476\n45372 65891\n40934 99085\n4970 9765\n60758 82548\n16559 42141\n20529 53730\n47644 72824\n62481 86003\n61398 77541\n11841 92215\n6189 13893\n46109 80136\n15477 82116\n1992 91396\n16421 85872\n89346 90890\n11103 41364\n14952 52660\n9976 57484\n7173 86373\n40068 69317\n36736 53409\n15586 99092\n21749 32299\n33325 73243\n63803 93285\n15383 16869\n39396 40355\n3822 49208\n8349 99129\n12912 54209\n48426 84358\n2432 19146\n60648 73184\n26698 42603\n29684 64424\n51628 61229\n38030 59605\n59701 78737\n6386 89961\n31943 97124\n73130 92229\n55761 58322\n36951 84790\n80244 87864\n63940 83388\n75365 96969\n2661 99429\n32282 96965\n52695 64513\n28064 94423\n25458 47171\n38659 90763\n18434 62731\n39779 73439\n17034 57765\n74346 80078\n10819 23757\n15527 70407\n83559 95524\n45524 46854\n541 90161\n36087 40715\n17795 73127\n81153 83319\n10495 61965\n37897 97727\n44335 83124\n22366 47641\n47267 93116\n12968 17852\n65312 72603\n14744 47292\n82911 99336\n33272 55297\n62477 80662\n88466 88603\n33164 59393\n12118 96082\n29593 63809\n91138 93510\n77158 87589\n17413 84192\n73224 74637\n47337 69689\n67232 82425\n62979 84617\n12371 74885\n71309 99633\n13647 70645\n56636 72009\n72892 73172\n35982 74363\n48350 91265\n62300 84940\n73209 88056\n62824 68621\n12584 17755\n65763 97626\n30885 97262\n55202 87801\n8618 98894\n49783 82806\n34231 72493\n68199 72210\n45365 79623\n21448 28541\n48074 81223\n74555 82457\n9996 25463\n40700 96357\n22512 94747\n13269 96785\n22372 51366\n35840 93337\n38103 65220\n13071 56100\n3528 95727\n13035 48125\n37355 50855\n42068 95455\n55449 67691\n35561 99915\n42741 95685\n36666 98973\n28624 94100\n10548 90277\n38427 72831\n2733 68168\n3487 83994\n56307 85406\n17035 85551\n12215 53079\n48285 92344\n20085 97518\n81073 81774\n58775 71408\n15630 37179\n41119 71947\n13665 88411\n2406 5021\n7209 93773\n51014 92602\n48036 66998\n33536 50091\n23052 54930\n51529 71873\n25320 87997\n80440 81962\n35633 91810\n81324 88300\n16963 89827\n55142 75365\n55 36536\n56973 92545\n63097 97528\n18764 37002\n32386 87383\n52873 77712\n23721 54097\n11631 93937\n33704 69214\n5353 97229\n20172 75027\n20813 21437\n26421 29453\n59727 84042\n2910 96580\n73103 97463\n36372 43246\n57903 81415\n73145 98886\n8608 89160\n15812 25196\n58485 81503\n47584 95400\n33757 44256\n1544 61523\n11284 35484\n86784 93553\n64561 90092\n9826 34616\n38770 57520\n19801 72670\n20078 22431\n14518 57680\n29778 54084\n18805 44550\n2598 76250\n70346 90245\n31531 76662\n8995 28372\n40459 45011\n50326 91960\n973 41329\n18733 95745\n26887 31089\n18897 75569\n2105 23489\n43254 45200\n35636 80632\n5872 17311\n64625 85513\n11484 75481\n21756 85202\n35219 46340\n22238 75992\n5583 69825\n9171 51799\n18714 99774\n25815 25978\n92267 99110\n30690 36108\n31782 57544\n13245 46852\n60222 63319\n51967 53549\n45073 45918\n11599 15871\n1386 83413\n38587 43492\n3137 67069\n9574 31029\n69928 96168\n39132 73180\n14165 80296\n24857 78104\n64055 76016\n20458 94356\n36079 68445\n32825 36757\n41942 86380\n8880 87089\n7349 46618\n18850 65534\n46113 97304\n28923 99563\n23450 42999\n70508 92391\n24482 81887\n14949 71023\n40842 78755\n6430 46643\n28184 87889\n78795 88789\n50052 56334\n29176 35657\n40372 91960\n90323 98938\n18422 49312\n49264 70226\n24404 25458\n4877 21205\n83127 88361\n14458 72764\n69506 96867\n71538 95124\n44896 78902\n47255 71550\n33693 57767\n14533 33283\n20119 79158\n32551 75698\n42730 89274\n44454 99368\n6178 41382\n9791 61726\n24065 89070\n21255 81288\n7426 60150\n9686 38975\n9193 26287\n14399 95992\n28083 31886\n37685 40654\n75657 99018\n1107 76668\n2873 31517\n20644 45909\n963 29394\n56217 68973\n28227 84589\n73722 74464\n38997 52948\n58248 63065\n20015 46298\n55574 70255\n32104 55167\n2068 96679\n5378 56439\n2003 72918\n6596 35955\n42704 81753\n39409 74699\n42108 82234\n20870 31054\n9676 70330\n28236 98179\n5857 35367\n31757 39092\n58857 61466\n38473 41935\n35492 47191\n28620 61902\n30959 68230\n21076 50370\n29402 47049\n3690 30535\n39825 80047\n39345 59329\n39908 73454\n15235 35984\n70440 83482\n13936 25979\n12271 31246\n22331 58259\n46172 57703\n34761 80767\n80842 84266\n48452 73949\n585 7719\n29528 42781\n74786 82015\n5635 38722\n22075 75692\n7482 66280\n7925 20797\n51614 61568\n88852 96738\n44868 50594\n77309 93599\n27103 83702\n11953 39250\n31757 72326\n66391 99005\n44862 49851\n24192 38539\n21731 75001\n505 87935\n5503 20820\n35340 61609\n39390 53345\n55734 81426\n3318 40098\n35911 69627\n56754 89732\n49805 55702\n65222 95904\n3821 73712\n13250 57706\n56122 89460\n2778 44411\n26555 90422\n13211 54806\n79002 93011\n63614 93360\n50168 87614\n50711 52034\n36383 55545\n26145 74316\n52797 88734\n786 63770\n10523 82930\n43111 58329\n26637 80265\n22476 85434\n47507 88161\n7087 47542\n34297 71521\n89223 92323\n5102 22596\n39510 62085\n10786 57945\n65307 94663\n46349 71041\n58497 96651\n82969 96877\n11152 71273\n29826 40610\n24982 82195\n15831 30489\n4089 5132\n31433 75335\n58994 73694\n58698 90497\n32826 77000\n64032 96192\n19070 99844\n41878 55305\n41601 75699\n84265 99860\n61039 72410\n35570 94312\n49942 85537\n19806 39337\n52058 97117\n34084 52632\n12114 68191\n22121 31543\n6135 16669\n62044 92117\n11112 70027\n15224 22213\n15670 59607\n22381 73040\n22964 30671\n34966 80717\n12042 37534\n45341 64009\n15366 43282\n55516 84295\n21844 29106\n56337 56708\n88580 95833\n49204 71402\n3820 84851\n12842 19249\n4095 68357\n41371 42027\n13982 27804\n60182 63789\n32637 94609\n2447 12483\n56807 75825\n793 40967\n60053 85581\n8955 28369\n44621 66359\n14914 22313\n17726 22584\n3625 99944\n24265 46064\n40408 72545\n6106 25147\n19659 73537\n7916 20604\n18769 91214\n9892 98039\n13519 43554\n8952 36826\n34297 90345\n8386 32108\n39461 74581\n43222 68371\n83893 98345\n9665 54456\n17812 44355\n14527 18583\n30457 34907\n1702 55796\n60816 93574\n29848 50088\n14995 85665\n44940 53942\n58448 73489\n10993 59262\n37278 85096\n39226 58159\n4928 76242\n37059 57543\n7360 13385\n15261 34181\n15474 61870\n37763 97348\n49102 71503\n26644 50288\n43656 45551\n24718 48746\n35998 73449\n21185 43336\n56004 92413\n47299 95167\n21841 46988\n14077 30894\n35527 73750\n73391 88649\n55486 79031\n14668 97267\n36941 72623\n894 7379\n20008 95314\n32198 42130\n22737 46086\n36020 50000\n17962 41929\n14471 28839\n24716 35727\n4531 27082\n82365 84786\n26396 37521\n15071 84893\n20581 34207\n72214 83777\n47720 87475\n89035 99825\n11476 46451\n31498 93284\n9152 77968\n42529 48773\n90498 91868\n30404 73185\n40317 72241\n40864 83429\n11017 65193\n53496 99998\n53013 67020\n11061 30673\n5783 53216\n17864 96908\n83441 92837\n48147 88856\n27692 60257\n14345 19124\n36748 95831\n18042 32670\n20763 98321\n36763 96484\n48165 71900\n32160 58805\n85368 88488\n72387 96752\n45256 69090\n20098 89817\n84660 88875\n8497 94920\n3351 60537\n52537 73338\n75019 81209\n75319 95744\n72938 90268\n21817 90799\n13477 98453\n25788 95009\n28940 30351\n2593 74142\n28156 29493\n15260 72960\n42986 52693\n824 32249\n2462 56007\n5093 58399\n59398 87847\n3970 52016\n53316 70074\n8624 79856\n594 16718\n17695 80025\n10283 52634\n82685 97728\n21306 38314\n36385 57665\n17127 19038\n54223 97776\n78506 81068\n33972 71572\n75577 91037\n56874 59151\n20581 94557\n3797 35549\n12687 27478\n17174 34496\n4681 88895\n47023 61043\n15614 29900\n5622 7546\n68772 92082\n72198 91311\n2203 73625\n47886 94938\n27141 81058\n68258 69951\n29207 33933\n59222 81426\n28993 63279\n31505 53944\n14484 68297\n45380 85683\n30552 81830\n73946 96647\n28690 58254\n69939 84348\n40450 87092\n65755 65996\n59392 87442\n39776 60837\n21136 88826\n85577 90334\n10242 19673\n49855 54902\n58388 82375\n1134 48952\n20746 43866\n95587 98642\n14871 97396\n2886 82889\n7291 16764\n42196 96633\n18092 40210\n21469 91173\n43046 66222\n33412 76280\n55663 65927\n46720 61419\n74145 99628\n33141 70899\n59878 92930\n23681 63387\n44768 59042\n12301 15056\n74150 84940\n48356 52732\n19577 75885\n84266 88852\n48319 56225\n85486 98990\n965 98901\n31521 72529\n23066 81549\n45269 89930\n1475 79982\n2356 39536\n40672 92781\n26925 48111\n37996 55161\n60855 73815\n3834 53590\n73609 90506\n30925 77649\n28926 81028\n43108 72708\n30283 40088\n27881 96026\n1697 20257\n50262 64313\n9736 46704\n20629 87786\n14939 71168\n8326 98534\n35321 57618\n26592 68006\n36074 81001\n7400 22436\n31387 83060\n24159 25675\n24103 90476\n17524 52670\n28453 64913\n12023 51458\n15419 87635\n5344 45456\n68006 78994\n37649 68660\n21411 36032\n757 25220\n11076 54349\n3731 59229\n18258 69821\n63312 73988\n7232 70294\n32160 79012\n43155 78826\n24099 79142\n4246 76362\n13258 35506\n14024 23150\n49357 98234\n82574 98845\n45729 98872\n37621 94781\n8483 90914\n11283 82684\n5206 61087\n51986 92147\n8648 19572\n21475 41844\n9600 69598\n16936 91642\n30767 52516\n55009 69854\n8164 86990\n3304 73210\n12529 34244\n12752 79770\n23316 99196\n18087 27281\n56994 76945\n34071 81986\n23904 92485\n7062 84961\n44973 93254\n24538 66464\n75064 83605\n37834 90178\n54490 84821\n63872 92918\n83947 99351\n15706 31452\n22145 94796\n55213 74145\n29963 82000\n53593 77022\n11801 57407\n5227 19870\n14959 57165\n53583 89019\n74898 97112\n93342 95940\n40296 75152\n23492 63842\n48141 64223\n32647 96152\n25099 30675\n20773 35998\n39745 69607\n17876 79584\n20942 91594\n33657 72487\n17183 76467\n1963 24968\n12830 91219\n10698 56442\n1833 86281\n42783 80565\n86875 91009\n52110 76484\n9489 83836\n1355 94452\n17172 63685\n18910 42818\n67743 90237\n11235 94929\n27037 73842\n58977 79709\n52621 68861\n25044 66407\n40923 69258\n83209 93424\n45943 92153\n29281 96500\n9998 39754\n62177 83365\n609 76516\n79568 79679\n4480 18786\n34556 66537\n12235 80583\n14487 72273\n55208 70840\n29775 52582\n7237 66563\n47727 50526\n24234 82377\n2837 65884\n48464 51242\n31185 86921\n57154 98003\n513 71825\n32147 54046\n79995 99646\n2498 76466\n381 64884\n18130 49071\n58126 68849\n7841 45314\n51573 60663\n3286 96440\n31717 69114\n89017 99906\n37116 52470\n5316 6897\n89548 90167\n34486 80729\n20392 24792\n1890 79797\n7332 24253\n9678 58929\n20663 37479\n24076 66504\n52232 77527\n10943 23014\n41413 65348\n22048 90633\n12604 23173\n81299 95285\n64514 89290\n84990 93277\n52507 58741\n16433 32450\n14307 67311\n3126 90709\n40462 57665\n88898 96509\n48868 49882\n19070 89112\n70055 70218\n56151 85355\n22010 31690\n75033 87160\n10355 45374\n18363 34867\n8184 9712\n85329 92252\n41498 75114\n29875 45776\n6617 36507\n50788 80712\n15050 24602\n31663 76479\n1237 70404\n33173 75752\n20200 31871\n42940 55574\n33090 65178\n1330 25675\n22957 85117\n3844 53647\n37019 44921\n23613 55608\n1499 89178\n14080 33835\n7106 10737\n7582 18896\n69383 82175\n63018 84217\n12697 85712\n98627 99552\n68915 92301\n47849 69473\n34050 70365\n27620 54113\n35097 67723\n4056 18248\n27777 56571\n20805 24309\n329 27564\n44711 63990\n7047 41258\n41372 79398\n84845 94204\n46255 90852\n66178 98397\n11502 59280\n52188 84207\n45042 70809\n19196 55492\n49541 98213\n24030 65240\n41497 53433\n8404 90202\n15327 62773\n3706 34827\n21298 35738\n57020 97930\n11649 79035\n6558 88428\n8550 39990\n23056 64250\n17409 97472\n59829 64815\n79327 93274\n65926 98461\n70698 76042\n66512 92627\n76809 82878\n5231 25166\n44393 80686\n1933 43301\n51959 75453\n67733 92529\n59037 67091\n88803 91694\n24770 73125\n5030 73948\n35651 89769\n54507 59177\n38931 84743\n64138 89760\n16914 92717\n51053 82839\n27837 59899\n4502 87005\n63139 80081\n8568 81644\n6052 35278\n44656 45456\n58032 94236\n48856 80948\n61706 84170\n13025 40150\n6648 31471\n39247 81666\n53494 83096\n6242 60045\n65394 95232\n7642 64096\n18359 20067\n1790 68580\n20783 42969\n11626 21703\n61440 82805\n25402 33194\n11881 55606\n10831 83755\n56322 58980\n61555 96788\n6458 22583\n519 51411\n87262 99317\n30946 85228\n25520 71012\n18366 31380\n21104 27756\n14648 44948\n22579 46993\n41157 85766\n40341 96073\n13390 22727\n29495 76562\n36502 52887\n67299 90109\n42606 68335\n26022 71123\n31674 87568\n6411 45179\n21215 67810\n20678 82966\n26199 87859\n37529 98141\n32188 86191\n23391 97602\n22547 24093\n28687 49649\n27310 58791\n76109 90410\n70758 80048\n39296 46462\n22361 58951\n18868 27300\n75105 77889\n70268 99264\n27837 76043\n72122 98486\n7591 53309\n4279 43753\n8823 10367\n7282 69367\n45782 92803\n51118 80179\n36400 72346\n25206 75153\n17502 63514\n48642 49044\n10923 71136\n55726 83951\n45584 82433\n17539 31657\n28602 30355\n38986 69532\n3328 55761\n39075 59591\n4072 77196\n7104 88834\n82842 92735\n10490 85031\n27609 88892\n47170 81509\n46274 54643\n32480 40052\n31473 95636\n22955 33555\n13797 77862\n19829 90864\n6951 10521\n17306 54513\n50751 53793\n14822 48312\n7164 98601\n23322 34524\n11606 64726\n11698 20233\n20091 47481\n3442 7321\n23457 36494\n2308 39518\n38169 41459\n25837 64327\n59582 67207\n26622 78756\n48671 53241\n45122 61572\n19798 24480\n28967 78070\n15165 37420\n2373 89059\n29493 93510\n28094 45350\n7475 38831\n8155 47800\n48487 88667\n10209 38551\n24548 56981\n62513 87250\n2511 23122\n36942 72999\n13999 53941\n62537 90132\n32400 45930\n51730 94009\n42268 48018\n69473 71045\n29699 70490\n43104 72860\n15061 43121\n6289 39650\n38688 76677\n28162 57553\n26250 77095\n38324 40959\n69544 75981\n43254 64010\n15416 38518\n24173 54188\n56470 76261\n13871 73305\n924 51154\n29164 56474\n25517 45009\n5227 70596\n2768 20413\n14378 86683\n73805 87088\n35706 74592\n10783 31944\n46855 64406\n22082 81900\n27724 74108\n7255 66790\n4715 84181\n28160 87765\n4947 20353\n59177 84161\n60149 78384\n12740 54554\n35875 71016\n92140 99667\n7561 95176\n23767 94157\n39315 91435\n79583 98238\n26001 94609\n7301 54091\n7600 93510\n8169 14070\n8804 17938\n90211 92888\n26657 93820\n60553 80509\n18584 74182\n57060 71942\n64070 99131\n9429 28481\n12817 82746\n13559 18594\n20369 40312\n76045 84649\n19148 67308\n45605 82491\n23197 70324\n56268 99631\n82179 85448\n71826 92432\n52598 92129\n33216 48139\n36599 54084\n76573 81697\n17378 29210\n58062 78223\n57841 83652\n22519 95527\n73055 87362\n39689 82696\n24619 26002\n50209 81439\n61857 98872\n10677 51142\n57665 95428\n14196 60301\n9282 79421\n81271 90465\n2358 48257\n23451 70611\n41861 74744\n83126 94863\n29146 30343\n16882 28439\n42609 76031\n16066 53097\n19681 53734\n23832 83597\n67128 82898\n31661 33173\n27625 43859\n26567 27609\n24763 62371\n13443 55988\n30046 67199\n45833 94029\n18141 25167\n1981 97858\n39932 71801\n60146 63675\n10335 29457\n21430 98618\n56651 87696\n167 59369\n46572 66012\n53783 67363\n23075 47290\n50980 51772\n38156 56220\n656 47679\n18816 79446\n6026 99680\n4339 97637\n23202 80489\n38131 66813\n16418 43699\n29493 39595\n26097 64932\n6963 97866\n6244 39884\n18155 41150\n54590 94112\n20309 84367\n39015 72054\n78646 81585\n27129 29046\n61259 76735\n20790 88197\n53362 82174\n47932 63987\n12883 58914\n74839 89806\n24613 98268\n43396 62177\n30477 69589\n61470 87893\n66151 68634\n40690 74391\n9571 34671\n88146 93305\n28066 72995\n73203 85984\n34048 74923\n10551 51002\n21700 30964\n85068 91212\n62916 88867\n74878 97417\n40444 65903\n58618 97506\n26031 41570\n21142 51430\n39123 56953\n25131 36088\n57684 68285\n30289 69726\n40583 69326\n22880 67408\n18432 79891\n78340 82147\n39940 97321\n12506 27418\n36693 54680\n26812 72125\n46029 97457\n26689 60314\n1331 25538\n11364 43627\n3942 47823\n24538 82309\n75994 98197\n44292 54786\n35338 86848\n19115 72671\n4574 66799\n59485 62167\n17855 65029\n2307 14235\n45221 85358\n17880 92640\n13378 50931\n35813 52708\n85946 92775\n21336 79794\n50483 74436\n43882 65814\n31336 84976\n47531 63402\n33034 64726\n80570 81462\n15763 31617\n20090 89469\n46724 95082\n38225 61363\n4059 67121\n8042 47709\n52964 76976\n56474 58595\n10214 81466\n16200 56663\n17514 57216\n25365 38713\n14950 47151\n27077 82671\n8745 48377\n35312 62388\n11706 84665\n25778 31602\n17747 49186\n1170 74147\n59092 63588\n32820 39591\n466 9707\n32141 83559\n24520 57594\n25179 44159\n25690 71715\n31713 69933\n51978 86090\n6256 80236\n11163 17531\n42649 86542\n18470 39361\n954 14815\n16706 78438\n33053 86323\n1263 89067\n65627 78215\n23823 45506\n793 19840\n50968 71265\n61318 85820\n461 43641\n14476 18018\n42109 78146\n3108 62262\n62864 84532\n41886 60695\n52485 96443\n50701 95625\n71765 98002\n56153 66356\n16116 23927\n19604 31664\n8099 87481\n19032 96883\n65988 80001\n3309 7820\n28618 71280\n52063 66606\n39368 45015\n36824 44737\n45378 90417\n5630 60322\n5619 32385\n23515 52759\n46167 73583\n25145 82619\n12601 42029\n85440 88043\n41717 76951\n21597 88699\n26817 36666\n32081 58477\n14515 61809\n70975 86337\n9660 71751\n46694 54584\n22780 33455\n24024 70142\n27775 62373\n48382 64311\n12981 35808\n35208 72664\n49000 79741\n52910 87859\n14789 87246\n15167 66762\n17616 35561\n45239 59670\n20355 96802\n23472 99654\n12342 71363\n53469 84320\n31738 85758\n8374 59434\n42201 63726\n24222 40693\n37963 69253\n13349 83362\n13552 74390\n11906 40661\n59459 76129\n21442 45252\n9720 16841\n10679 78586\n16904 46052\n38082 64770\n7403 81744\n17988 66133\n61 94988\n83887 84385\n37550 71335\n30855 67840\n8932 72447\n11656 44457\n30273 80188\n42726 70331\n26039 36008\n34746 48576\n50472 93855\n32704 70247\n75808 77816\n31282 46067\n87427 98308\n67081 87367\n54703 69609\n50587 85524\n5004 73015\n54571 69773\n32671 63276\n7279 81191\n30016 81853\n69802 95949\n22672 41170\n60352 65600\n65168 87224\n2727 23336\n13013 86215\n32454 42677\n37115 82358\n25471 41346\n12036 19469\n24116 70426\n63830 72414\n74755 97267\n8359 53457\n48714 76643\n5045 53813\n17347 35181\n45586 60390\n26550 37885\n36028 78560\n9967 33438\n19663 68089\n18850 72352\n42255 92493\n14146 50369\n43404 47238\n4001 8921\n30478 60000\n20154 38554\n35435 40484\n12637 58273\n7234 68815\n61094 65776\n2806 63842\n18731 69246\n55504 73607\n3607 7602\n23727 91496\n23485 44670\n38801 70193\n87361 94681\n24964 41545\n12768 37152\n79136 98412\n36334 91074\n8116 9866\n1662 92644\n45932 69900\n17302 62499\n34990 46767\n13404 24113\n3820 74982\n28806 59278\n24856 47974\n4591 60212\n69051 73253\n9877 67543\n45864 86602\n69815 90379\n74408 91049\n24857 50761\n24603 49565\n11119 54378\n13279 49217\n68718 73738\n52507 85528\n15544 42901\n21653 97099\n74446 74759\n1009 11444\n80721 83004\n72045 72625\n5775 91470\n63423 87516\n42507 80499\n17472 60659\n56791 73338\n32094 79094\n43285 46145\n21354 68952\n51453 64360\n30723 50288\n56291 78372\n40238 65190\n38868 58639\n46532 69312\n10814 21478\n41085 83009\n13877 70955\n1314 75936\n34957 83594\n11084 79395\n3040 38352\n16110 78520\n10228 92568\n9711 76395\n50598 71990\n32990 38342\n6503 10032\n35802 59052\n16414 39320\n7451 10812\n18737 60300\n3349 99277\n8616 32176\n6683 71124\n6770 53749\n28613 95270\n28642 37478\n15656 88997\n59057 98896\n58739 60604\n58280 90944\n34931 96173\n77319 79890\n36420 87453\n7464 47031\n61661 97948\n7825 95036\n15967 24617\n40087 63971\n76380 76750\n37581 73884\n14518 75548\n29497 29841\n16595 84122\n83236 84280\n6332 43014\n43912 48308\n52961 69910\n4326 92924\n18813 52795\n20446 45177\n74222 94926\n2294 50703\n27111 77389\n2243 65045\n49425 96896\n1585 26787\n44726 61536\n18933 74265\n28062 60033\n49402 52307\n4813 31980\n54409 80531\n73692 83695\n11383 94509\n19727 78819\n54374 82750\n16133 42852\n21027 44126\n11529 20680\n78823 90038\n23477 82615\n1286 24848\n44340 52366\n6636 84557\n41197 52825\n67616 82665\n9778 20321\n14535 83099\n32949 96613\n20739 22679\n32995 65321\n50251 84439\n62339 76041\n62267 65971\n27899 30926\n35974 47177\n5351 30322\n10827 96567\n85547 91830\n49281 77190\n24594 90936\n8607 86112\n2144 16060\n9626 51646\n69983 85843\n5252 70784\n16654 19301\n20872 73798\n83664 96069\n46024 77586\n5075 69199\n19225 69954\n16015 70313\n3003 18073\n45270 89840\n25626 42508\n2769 52388\n41019 52038\n69141 99250\n15022 32565\n68275 96856\n64953 97189\n3040 57740\n42886 86183\n17627 83238\n49243 79502\n9936 15306\n47586 95464\n11739 43752\n38669 66823\n58217 70802\n61244 72571\n87597 97983\n74871 85369\n88622 92845\n42999 76047\n23360 28944\n83536 90545\n29738 81347\n3768 42042\n38057 55138\n32403 76397\n8390 42898\n10570 55634\n50768 84950\n21788 55295\n33450 34824\n16263 99692\n25505 57134\n23415 71219\n97059 97959\n29080 96079\n36690 92698\n73879 88367\n37258 38006\n33858 77933\n4743 99819\n51638 63776\n35138 41177\n34901 55861\n32857 53947\n16320 73373\n62022 98920\n38690 67365\n14091 70556\n76667 85154\n33886 61440\n84324 92783\n23472 37588\n22899 36183\n28001 50440\n56327 90238\n11677 43928\n11926 68852\n31845 41475\n65322 78718\n37386 47980\n21155 86787\n599 76809\n50239 85704\n91334 93345\n61191 82176\n19905 22358\n88811 96834\n25353 98516\n28256 77409\n67864 70642\n15959 59596\n25705 28517\n28704 85029\n10492 58392\n59862 73236\n28432 55529\n15113 85894\n34099 98769\n58539 58744\n17378 39784\n5333 41605\n45012 66601\n35147 98622\n14563 60857\n27333 38628\n19042 36942\n14218 16868\n54315 69118\n55472 83271\n19950 77465\n24326 35998\n52380 64889\n35489 93480\n25231 86447\n52848 66269\n75207 88718\n7625 41552\n29031 76989\n22510 27502\n23050 53684\n48470 90227\n56479 59825\n3802 44142\n49930 94492\n11283 68070\n5215 67119\n41886 95809\n14801 67952\n83770 94504\n2068 14086\n38596 46846\n11871 51354\n23500 42865\n6089 85550\n30869 39560\n57132 76082\n9952 38167\n35938 80353\n12694 72031\n4799 81996\n80086 88153\n32154 65236\n16294 43440\n36338 79210\n15680 30368\n2580 12231\n21678 54607\n21269 67356\n54327 82797\n6652 19483\n6270 70427\n41475 57218\n84390 89629\n9541 49014\n49238 94271\n11848 55390\n19969 91198\n25014 26124\n2941 58815\n40948 75307\n44661 80031\n65598 73881\n42285 68081\n12097 76343\n25859 73619\n58342 84260\n26835 28620\n42490 45704\n80662 91650\n77564 97829\n48222 94584\n7480 32914\n9798 83822\n38033 83057\n54010 76779\n70764 80064\n50014 61346\n90254 94666\n25630 67005\n61546 95998\n21273 63980\n48512 88220\n12287 32104\n33442 39808\n81966 90590\n44770 66331\n45185 59055\n34542 42535\n3309 49527\n43964 95894\n13555 44250\n1876 99644\n2266 36131\n45225 59001\n9591 34069\n35410 76822\n37437 43478\n25455 32443\n19795 60771\n24429 53335\n36281 77316\n32527 76877\n64562 85686\n14247 77956\n1403 51310\n48817 94361\n4976 10394\n67356 90445\n55379 84532\n32600 83898\n40819 85221\n74586 97625\n8559 91243\n38437 85004\n88147 90003\n8397 81573\n30771 71188\n423 12586\n57535 73225\n33532 66688\n60428 67349\n38813 85468\n9911 46852\n50525 95073\n62296 89315\n42638 49123\n31640 69254\n4107 41359\n11139 25241\n76474 99175\n17978 83145\n153 10203\n68582 84052\n53511 80505\n38903 75403\n15135 76920\n69893 97739\n15598 80572\n12201 39154\n72708 77781\n17820 58740\n58853 60927\n18318 90176\n92441 97070\n16319 26344\n91337 92324\n515 32911\n50532 56186\n93382 95911\n42308 63469\n23899 78538\n52563 72068\n914 22449\n1787 16604\n23885 62507\n39740 63997\n13610 92030\n75937 97617\n94858 96422\n49738 58965\n9307 81028\n29314 53955\n88362 90496\n11183 24395\n3332 4158\n20064 36752\n22065 22693\n67263 86531\n2363 28707\n15722 43082\n83267 91023\n79778 85692\n21441 33377\n3594 79277\n66357 75880\n10213 26503\n83051 96314\n50451 70544\n23121 32813\n49139 64436\n25851 54898\n74051 97719\n5066 34695\n5364 12262\n52768 74855\n5440 44268\n77594 95088\n37977 48728\n25567 67955\n23146 69316\n20868 82314\n26619 97622\n23042 66565\n46724 90946\n52951 82327\n6181 12086\n84791 84917\n11112 18636\n27094 29659\n3846 61822\n72449 80642\n82717 93739\n8554 93576\n46399 69957\n42943 98067\n8281 43854\n37494 66204\n31807 96676\n74869 80509\n28427 80221\n56672 92491\n21190 22558\n82673 95581\n1287 79851\n33298 70180\n58048 77457\n25006 57644\n10581 40188\n71701 76175\n84142 98848\n2381 38193\n10976 71177\n2409 77556\n527 11841\n3129 93586\n16954 94060\n41759 43738\n17257 80075\n4709 61748\n37659 50648\n51629 82657\n17643 77401\n26605 61366\n1536 88176\n34816 74296\n12903 31435\n25997 26334\n62081 77101\n1133 64698\n54105 66331\n21604 91698\n25780 91453\n466 23633\n50094 73440\n45232 60604\n12082 44234\n22769 25267\n2815 76622\n42514 76585\n68591 76845\n89332 98746\n12490 17253\n68361 85889\n53499 74231\n57330 63492\n80238 91796\n75317 94838\n12540 52227\n96520 99611\n69068 76370\n65278 90044\n37658 62699\n72745 95348\n49317 50616\n76614 86446\n61898 95189\n22843 68971\n1918 36968\n16831 75877\n28047 81843\n18534 30473\n7158 51807\n76615 77201\n4421 47284\n929 36909\n8015 20454\n8608 80396\n48025 99675\n20359 97792\n8970 34833\n6225 75871\n10555 87941\n20164 78275\n48865 84855\n28761 73789\n57194 94282\n36240 44619\n13388 75836\n43973 99460\n60885 94869\n8314 99889\n28916 36721\n77945 96771\n41355 62040\n52775 79814\n80249 80828\n64785 68303\n24440 64296\n68072 69206\n55618 84820\n460 66306\n35398 76676\n58217 86305\n30941 70449\n31700 56431\n33219 91213\n80282 81382\n22029 41546\n43809 78869\n36794 65872\n38355 65825\n9396 66709\n10787 95203\n24204 28126\n35704 98495\n28079 32376\n11584 93128\n8517 43759\n59158 71776\n82246 84034\n4932 10386\n25092 43413\n31387 78442\n21423 99082\n8632 48528\n17825 74112\n37736 73113\n50412 62414\n15364 39918\n80761 81120\n10941 67721\n1521 19535\n8369 87848\n13277 18130\n4964 56149\n27991 40776\n67898 93151\n8005 20138\n3746 64495\n6714 20944\n56140 98055\n46473 67301\n14773 88112\n28667 65876\n56417 73542\n14839 91431\n69155 93979\n73067 97116\n26381 49411\n59411 72391\n22018 23282\n86844 86896\n15985 52144\n951 94831\n14553 36359\n33818 44428\n54601 85157\n4580 45069\n6491 53462\n17887 39346\n51465 96217\n40278 91519\n19419 88718\n1221 75871\n30977 62300\n2102 54516\n75678 91526\n9611 31008\n23930 83735\n46458 54196\n42411 74294\n18571 38169\n15481 99945\n42461 62899\n44138 60744\n42320 83967\n38670 78023\n37132 37563\n23749 62910\n39876 94293\n4481 64759\n2180 26608\n12535 19607\n2600 31234\n9343 64770\n30537 48444\n18701 56949\n34952 45543\n7693 36133\n62248 88877\n16652 85598\n18506 82836\n418 96229\n7878 98638\n22354 52597\n13094 30033\n49591 51327\n69359 75247\n30486 63548\n18555 68106\n18246 59856\n52558 71520\n7028 11109\n18598 85098\n64022 83764\n54003 54026\n44943 46437\n60950 98259\n35373 62308\n83747 92959\n82655 92287\n23247 31483\n56947 59887\n46624 86733\n40586 80367\n71373 75307\n15988 47147\n864 27496\n416 84096\n54104 73406\n41292 76974\n3367 42083\n44791 93825\n67271 94486\n19530 90937\n9235 97908\n46592 78810\n36127 83304\n25328 87968\n16402 86724\n30455 53180\n9783 20693\n80707 89284\n59833 65504\n35951 46949\n30911 76689\n1073 18421\n27976 35969\n746 55003\n46409 73653\n26331 30871\n21508 26975\n10990 76309\n14396 53972\n1367 8324\n14273 34489\n39461 96628\n33099 41146\n96416 96620\n23203 73658\n64893 70920\n2223 10204\n16188 55893\n24195 35167\n2129 77124\n64734 84280\n28860 66458\n16394 17773\n40501 62956\n25861 66494\n17332 91971\n27259 38899\n75970 87744\n11020 64628\n24247 51016\n12028 98445\n12742 14791\n75167 96309\n68779 69023\n11222 83904\n31097 44971\n6818 55231\n19004 65964\n58010 65295\n24885 59593\n3938 7372\n3383 81865\n1387 94008\n29984 80482\n52995 70374\n16809 61334\n66017 84373\n11116 31124\n4805 9766\n61310 66593\n30585 61809\n92347 98698\n34126 65481\n23078 49510\n49165 89893\n46108 93549\n49187 51172\n31182 88180\n16485 79673\n6261 58720\n16485 61152\n42942 68085\n9248 92138\n11059 85377\n39363 90766\n47993 77885\n4778 79947\n53633 73245\n23429 56990\n47892 76552\n17280 83258\n1113 52104\n28750 76200\n16765 82586\n32194 79958\n15305 21328\n57357 77450\n49747 82901\n38660 47354\n11957 30915\n10590 99427\n30445 87447\n63084 71087\n14387 80358\n10409 53283\n34117 90014\n6839 81413\n9267 99786\n4450 45771\n29071 38692\n15206 77312\n24344 58868\n7743 78925\n21966 53337\n10228 94418\n89548 95417\n20079 81704\n24432 80904\n87992 93335\n42537 74644\n35155 43013\n1926 13546\n3473 50786\n63119 99773\n16073 77200\n1578 66699\n44961 94908\n44554 68538\n27151 53870\n18890 35396\n4838 66532\n45274 58603\n7048 66521\n12932 31191\n9887 97729\n30879 76757\n1775 11238\n6462 81162\n21117 96533\n74188 99321\n2984 38131\n39590 99564\n15722 22926\n16054 99906\n9473 72464\n60049 94250\n14166 59638\n57521 68822\n13132 35022\n21617 88388\n48041 54259\n72621 97126\n48262 79366\n86901 94131\n20590 83612\n73217 76405\n10716 90525\n48769 68113\n54006 56675\n51341 72232\n54995 61685\n64123 71664\n17462 48986\n31198 59945\n21804 26792\n35403 84758\n43290 79964\n54972 93377\n12495 55643\n7687 50502\n32293 66101\n22568 34928\n10150 92538\n66652 89044\n63613 68896\n51415 55985\n20108 25454\n65160 91324\n54338 93626\n38935 97778\n32142 92036\n40238 89619\n52222 79138\n13055 59361\n9078 65778\n77125 92087\n38505 52847\n52703 61259\n38923 52285\n62351 96890\n8926 26146\n12215 48621\n7123 17413\n87867 98806\n58883 70281\n6409 20369\n9114 9692\n9712 68322\n15903 33840\n26474 78521\n80409 98792\n12601 92671\n26031 35199\n66957 98942\n37633 90309\n9444 68720\n81476 96753\n54815 88964\n9106 92264\n19099 63452\n34436 95204\n55258 98875\n15650 83306\n56737 99563\n56999 81804\n23829 67706\n71760 81175\n54966 89598\n26688 73159\n45871 74493\n3715 3945\n8457 17822\n18935 27977\n24428 95818\n22944 56747\n33585 86611\n17549 91226\n17271 38549\n47296 93437\n42828 64414\n13235 38572\n5879 30029\n29662 41961\n1044 70885\n22939 43059\n42910 89354\n20220 36368\n39790 93218\n26906 47912\n73106 89601\n57287 81098\n54548 70210\n10798 85325\n50535 56113\n70110 84280\n13069 82626\n43650 48529\n44264 46513\n816 66577\n60895 71431\n17838 70102\n24377 37285\n57711 91288\n63392 89197\n76693 88527\n71624 90122\n78019 83006\n6331 80444\n1089 52338\n61620 78461\n9850 79827\n60282 96582\n11685 57965\n2788 25862\n8940 21954\n83246 99023\n44140 79041\n16324 21869\n15892 34703\n1869 28289\n10245 64138\n6482 85393\n54432 92463\n61258 69147\n25287 73566\n14778 57127\n75212 99521\n78939 81888\n80356 92287\n29717 55455\n4316 63399\n8839 17140\n12424 21287\n55197 92519\n70912 74120\n31193 31711\n18591 23333\n50584 75146\n14859 71617\n28476 58280\n26617 84129\n8752 25919\n7437 45516\n62513 84869\n8389 74297\n30568 37639\n71262 84192\n39667 64158\n2079 30467\n19219 75985\n64459 95876\n1529 49061\n74262 82076\n73917 93963\n43016 50240\n29266 94247\n29897 81568\n16887 52753\n35060 95883\n31238 74552\n94563 98915\n34552 62395\n68948 69946\n35471 57928\n36982 73170\n2819 50847\n71275 83187\n54925 82941\n26919 30435\n50050 54849\n15823 74268\n33492 64620\n37650 75899\n22913 61544\n61552 74547\n12463 36909\n71369 89216\n23991 64973\n7289 94773\n28308 74773\n20978 48482\n24204 57030\n43912 87981\n17032 81671\n31075 45960\n54059 85378\n50610 56673\n11282 12960\n12948 83270\n24001 72569\n8965 18261\n39713 72933\n55071 84059\n17522 66692\n65175 75744\n9415 41492\n27966 98907\n5022 95638\n30729 67785\n88919 89510\n5784 62108\n7607 61427\n22395 56739\n62675 94449\n10315 36097\n66868 90205\n17837 39185\n2380 63556\n1679 48588\n20538 49790\n14706 55630\n44712 82111\n87333 90988\n35525 70017\n67172 73086\n6301 75158\n68851 93449\n66160 83633\n36289 75751\n37127 90295\n3323 69528\n19534 42333\n40967 93162\n68892 88230\n48800 61109\n13313 63781\n57176 85387\n11290 85621\n8678 83705\n38727 80307\n33305 63876\n42539 44292\n13239 91900\n2609 73585\n36485 90623\n3457 64629\n14777 50590\n19010 25140\n22486 94283\n26215 39927\n41534 73998\n13974 54376\n29718 56273\n65753 86494\n55017 70534\n13088 71813\n21664 45371\n59191 93799\n37723 76584\n82252 99288\n32128 99774\n69762 97028\n76925 93949\n22042 97758\n18020 36193\n66476 71979\n68666 89921\n14505 66104\n46258 60336\n13978 73095\n13511 60798\n65249 79209\n617 93404\n83783 91138\n6179 29785\n17806 25002\n47648 60410\n60712 67328\n45511 62679\n6099 45528\n65868 79127\n77256 88745\n24666 25581\n16461 96262\n61495 62445\n6398 70234\n53073 66877\n42089 74076\n32047 60456\n54216 90335\n75090 90935\n15173 23896\n17330 35106\n18013 79488\n65757 71409\n11074 37872\n45165 60733\n77805 93370\n23978 69535\n14610 38728\n11164 32697\n31331 61580\n38411 47433\n31183 47728\n52656 66316\n46501 72441\n7426 57827\n43175 70150\n16177 44836\n69017 70816\n18729 88948\n14851 54368\n38000 52445\n25452 57449\n43951 90276\n25699 57712\n52545 76749\n41085 94407\n7422 79923\n8435 27923\n6468 43904\n9417 15811\n17788 58856\n68175 93733\n49868 74558\n54814 90188\n76228 81293\n13600 77600\n21900 98787\n71453 81995\n32536 60194\n6955 69629\n1413 69428\n56501 68073\n45037 98517\n40023 62657\n26880 37580\n30295 62212\n6919 14989\n30155 42179\n4494 54759\n86825 90250\n21106 57389\n17357 57669\n16350 61932\n38734 48081\n13360 67056\n8414 39578\n64654 76528\n68278 96157\n12999 49723\n33524 99556\n22651 51764\n29740 88286\n14558 55496\n48070 71119\n63821 79933\n53758 59079\n41335 61365\n47736 84493\n21508 52140\n53714 72144\n69235 85037\n64792 97406\n9739 14378\n27277 40550\n62726 69379\n52968 90826\n17906 72112\n51813 59164\n16273 83117\n62814 86319\n22919 92471\n28568 36987\n9663 84797\n42337 89376\n23887 54500\n67390 85642\n75219 95459\n52437 70293\n42862 89789\n11029 13828\n28488 93135\n13191 17784\n47954 99762\n19222 41519\n469 95040\n8732 84630\n30161 89901\n48801 93971\n65456 92524\n64323 84906\n3330 6868\n47637 93665\n21542 70095\n52661 81892\n2580 98976\n13016 24897\n13011 70999\n6066 31854\n24398 69002\n26283 55785\n53180 98016\n31181 32738\n48394 62673\n35700 96316\n42437 84409\n11449 48383\n30642 32967\n31431 58147\n66148 81165\n24781 64294\n22079 91154\n12068 26745\n73896 77978\n47240 89146\n23464 83998\n36694 72991\n82332 85426\n40355 93743\n7027 46732\n165 28741\n47405 69160\n19415 84119\n7561 35727\n26174 45175\n20354 88774\n19642 92515\n7359 29549\n8233 51048\n23497 59273\n56027 87814\n36911 84696\n25948 32782\n18645 35402\n31185 73611\n17411 36715\n8014 58094\n22322 36874\n49752 69960\n41305 99181\n33739 55710\n50728 77418\n25682 40650\n4705 97117\n69680 99827\n28835 93221\n56053 64025\n5209 75598\n7117 13405\n39254 55379\n11019 67268\n36416 58130\n57722 59779\n21461 92114\n48521 96501\n54670 95501\n62483 92087\n48266 50478\n20368 69699\n17512 92966\n24170 32649\n76546 89028\n53416 96854\n56063 84604\n58132 97155\n65758 87265\n6969 13673\n21241 65738\n4978 58688\n71302 94899\n86117 93407\n684 11917\n62674 63763\n7139 70851\n11866 40635\n46679 64162\n14842 74720\n1408 97143\n48884 93314\n37014 90709\n36180 58746\n73477 87732\n23950 55267\n43294 47814\n14042 74413\n92005 98712\n56898 98131\n20909 22560\n72324 87307\n46845 88774\n77412 92471\n61203 77759\n15640 58259\n24449 80297\n3827 98599\n45510 92745\n13384 56735\n42017 93611\n21523 22736\n47979 94270\n44990 57584\n30951 60427\n73082 92462\n34844 41439\n2827 37284\n27676 95821\n84934 88640\n3823 97518\n17696 96331\n386 68249\n16799 37672\n25005 93804\n59417 82797\n34942 82288\n56060 89899\n44041 75321\n8903 30110\n28011 32650\n31421 96458\n48414 53017\n20215 38437\n36708 78046\n53954 79260\n21322 66078\n24360 31035\n62947 97680\n15263 40530\n10753 37029\n54567 83354\n63399 84604\n4407 73484\n57136 83312\n35650 92342\n16536 69594\n66598 67451\n14738 51954\n68378 82747\n25431 64709\n12059 44015\n7746 85449\n5129 32042\n10608 88758\n9585 88265\n43859 96656\n35417 90102\n59421 77008\n3201 3940\n23021 99259\n66775 97764\n4270 56827\n16548 44072\n53804 76791\n34863 96620\n26769 66852\n89070 95731\n46104 55386\n16078 71681\n6443 71017\n64689 67054\n18828 24918\n47683 76829\n37129 81550\n68147 83439\n20178 31545\n79325 93611\n35367 57867\n3871 23437\n8260 40720\n42187 81787\n37440 49409\n10925 95430\n95461 97538\n26694 81474\n27800 82525\n83095 92532\n31925 73373\n5986 37229\n9084 32188\n14464 95486\n7490 11719\n22670 44010\n81021 84378\n42261 91440\n37274 51943\n15528 49038\n30551 81585\n4703 65868\n21053 36617\n52972 90481\n28865 38987\n56686 69529\n6306 58495\n84197 86972\n58033 82914\n35426 71517\n53322 90624\n13433 59631\n29077 92597\n32365 76829\n24001 63587\n15725 77235\n52955 59641\n45510 97151\n10951 38591\n67260 70121\n36672 37214\n11462 20804\n5742 42012\n66114 68546\n21637 90858\n79895 92332\n23530 56108\n64330 81639\n33827 39765\n24928 39182\n64907 97040\n3471 6911\n3720 4709\n36209 74874\n53878 67090\n12116 15467\n56017 97210\n59716 99041\n8937 73065\n48517 69930\n62358 99199\n67063 84238\n1950 21386\n14821 63650\n40804 88730\n74120 99405\n4377 71591\n41936 85007\n38416 39143\n9155 45859\n12356 79443\n42248 77676\n2719 85462\n46248 49044\n91041 95521\n75377 76116\n26966 80633\n40143 89852\n5288 84925\n81939 82233\n57021 69461\n78936 97684\n60175 82526\n955 70213\n8773 77820\n94354 97790\n49110 53686\n47543 70385\n54317 75810\n9937 58003\n29043 33456\n48450 58965\n20797 88590\n20726 74158\n81114 85601\n11589 78357\n21157 98118\n43150 66415\n11968 19898\n65075 79154\n27001 87583\n64487 78809\n68108 69198\n3235 31189\n15851 36050\n45062 48068\n116 57787\n54738 77890\n29206 78155\n50260 73429\n28026 77966\n34438 96140\n87433 89171\n78998 91946\n58251 70851\n8947 78530\n32066 69009\n42044 80935\n31072 99420\n33941 75260\n5007 62500\n10979 77182\n48555 51228\n6909 92414\n28435 89089\n14941 47434\n40342 91645\n69684 95880\n19594 57071\n23054 43363\n13108 80032\n19977 41428\n38071 85998\n18950 64647\n21854 85096\n23259 97572\n15819 85666\n79983 81723\n81367 95331\n6348 51534\n69430 89214\n37971 48606\n9896 33687\n17881 92839\n24351 46406\n30374 79157\n56653 62575\n36788 62089\n23087 55483\n68085 94334\n21123 51451\n61718 84635\n35188 97933\n24726 55680\n58236 76432\n35538 47562\n79652 88196\n6766 91368\n46433 83142\n4630 30201\n21917 27734\n21305 34518\n24901 40321\n1366 15770\n2327 76882\n7082 67763\n4389 20948\n45111 50134\n4168 79530\n68838 75884\n40324 91983\n12347 99304\n12358 27486\n34838 42190\n62791 91095\n8115 12416\n24626 54341\n28573 98277\n44769 81295\n41071 96595\n7469 95195\n4986 8571\n20772 78808\n70745 76200\n42860 59775\n68968 89297\n11415 67563\n84593 96029\n24929 54505\n46557 49253\n30668 36092\n80366 87480\n33053 49762\n77257 89881\n2041 95957\n23548 61793\n57266 66188\n22027 73803\n58474 91768\n67231 88639\n39886 57526\n41390 89993\n63836 71732\n65120 85465\n69203 76354\n45579 76766\n31998 93673\n25827 30882\n25112 88471\n45385 46972\n1945 80150\n44057 77253\n39417 61148\n1035 93910\n3206 3403\n11589 24014\n23185 29170\n40038 40599\n6467 41596\n57899 87152\n68133 82663\n73205 78193\n24874 36490\n28746 89758\n2633 44339\n4012 19594\n40248 88481\n61915 88677\n38244 49222\n27524 71699\n27266 79926\n52212 54280\n7372 14650\n89043 92151\n65547 84649\n59994 95181\n30670 42120\n31811 60478\n41819 59840\n45787 59934\n16715 80460\n23835 64644\n7693 46017\n17393 69481\n25059 26173\n12415 59318\n10178 70649\n32119 48942\n90144 96427\n7859 22123\n89613 90318\n479 31402\n26143 62376\n42352 95648\n60428 78503\n5701 72551\n63958 65939\n3898 29407\n43910 65828\n76241 89578\n68490 72265\n16934 90816\n32731 33877\n64047 91150\n61 39424\n19653 21811\n44035 46739\n31918 55861\n19862 76253\n6385 22674\n6042 68601\n19777 31919\n15034 91249\n17606 72595\n22944 43018\n16732 67171\n42530 89559\n26677 83587\n51770 79931\n54397 59280\n45829 57448\n47712 55022\n42878 44105\n15751 76829\n14893 80735\n40743 99075\n51001 54468\n4315 88120\n18721 71398\n237 98532\n28132 67447\n47453 56613\n25664 78774\n54977 84230\n8163 15624\n37629 85380\n21384 98875\n8314 56245\n4180 30675\n24893 52899\n71632 75456\n12618 52009\n14832 57952\n24641 25872\n64611 74576\n53680 73187\n57724 88024\n38478 38753\n26007 79749\n14444 75484\n23701 33554\n17231 87124\n29891 51398\n70317 88951\n74209 85369\n51577 78300\n14038 98448\n14000 33398\n41967 94728\n18939 27826\n36397 72512\n52030 94564\n56068 79562\n30726 31344\n58875 61909\n57474 65872\n47864 96358\n12967 71557\n21449 58198\n5669 14070\n34059 63729\n20710 91791\n3751 8262\n69872 94315\n56567 81093\n42506 88193\n13014 68958\n49341 76951\n28976 32846\n1988 56327\n25193 62711\n27475 99692\n87022 97390\n22669 25567\n42917 81842\n11170 98974\n4441 23117\n73461 96178\n42356 65725\n19836 70058\n38293 81128\n14602 79376\n68745 90416\n1675 68300\n1117 30213\n35763 68851\n24264 93891\n11865 51500\n21289 78132\n39760 67081\n30812 35056\n45791 96485\n6381 18881\n11738 22679\n35099 96799\n35142 82244\n67362 90547\n4298 64197\n79675 85748\n13532 16556\n85216 87305\n9652 67577\n25411 33250\n57549 58208\n12188 52351\n30164 90914\n34641 89679\n22819 67031\n19971 85415\n38700 74069\n15535 51958\n57931 79194\n18166 44377\n46596 63703\n29880 71225\n8121 77601\n57619 70358\n12237 42209\n68631 78679\n49 47062\n28073 95978\n5172 50305\n17857 53404\n31893 99729\n51632 57422\n45202 51242\n47133 97424\n29316 75324\n6387 28398\n8807 56718\n13199 24467\n69377 99540\n10785 66853\n88840 89561\n38591 77364\n5333 63601\n5080 70416\n70957 82866\n2900 72421\n2591 31015\n67820 90192\n24981 94483\n41309 91548\n21544 53832\n22219 25007\n30222 47016\n60084 64763\n38612 89755\n49552 98980\n49726 62805\n86437 93875\n8535 92376\n49805 83440\n16975 24191\n36546 60981\n59383 61463\n6127 55172\n43307 70578\n73751 77054\n62595 65078\n171 93782\n7525 95141\n34126 94543\n21032 63305\n69802 96615\n27969 38372\n58553 69286\n45298 92016\n86300 89957\n7589 68044\n7902 21275\n13140 51180\n62758 87849\n10762 17835\n17113 30733\n36456 49349\n4924 91551\n80082 91041\n42700 88763\n23259 85880\n57526 70768\n2448 78153\n82822 91712\n13916 60159\n28732 86142\n15626 52843\n46628 96874\n88375 96781\n18162 26633\n6311 36598\n45812 97709\n49934 58582\n34524 95640\n29484 79034\n38857 46295\n32715 65346\n30937 59886\n34404 62818\n67380 82108\n20062 58262\n21167 69647\n41868 68829\n14538 75511\n48049 68300\n49370 75952\n4152 32302\n12338 39719\n52098 93373\n45247 96344\n77506 97950\n52356 72722\n20197 73568\n22464 46094\n49745 61070\n61253 80916\n30480 45746\n22148 66059\n36345 78719\n12002 39976\n38259 88099\n16604 86426\n34872 66993\n29335 62001\n24095 43605\n78095 84267\n4634 84769\n39941 48166\n30998 42979\n26882 32730\n30593 53768\n16069 59873\n18745 60366\n50179 77276\n11321 58988\n506 84876\n41263 80063\n55186 78501\n3487 23159\n25689 84505\n5293 72635\n57487 88616\n47075 94131\n38252 82867\n85292 87706\n7493 98790\n37827 88127\n21331 36510\n18047 51821\n34387 55598\n17618 74826\n83234 87096\n14390 86170\n16221 25562\n12009 87840\n40011 90100\n12257 62161\n30402 56552\n42202 76230\n37166 48860\n26401 79287\n13684 98574\n7374 91456\n62978 77082\n145 63871\n22632 60918\n55246 99748\n30231 74259\n17475 89059\n34995 64788\n27362 77464\n47502 95223\n87736 98657\n16184 30557\n62558 96655\n32026 54873\n1542 86869\n17392 97336\n53650 90686\n68334 91410\n11169 27503\n3763 20501\n56332 98313\n72052 84358\n72367 94732\n48888 62876\n13469 68078\n14397 38239\n86972 99725\n11989 14054\n37268 71791\n81067 88293\n28724 97532\n58831 90708\n1681 19667\n30976 66866\n9231 36774\n46933 82961\n7741 33215\n2966 72263\n67811 86667\n21634 95863\n20621 75992\n25182 79157\n33379 63543\n14632 73483\n82426 99886\n38861 41284\n942 1798\n24663 44019\n58867 94954\n29308 41211\n18194 98893\n45556 65952\n34064 84854\n4907 81324\n97966 98754\n959 89445\n4064 42990\n54218 68155\n37614 44585\n2674 78729\n62697 99012\n74427 84687\n8502 85460\n59032 78010\n39271 44366\n17031 53553\n78357 80448\n35050 60798\n31232 84423\n14296 57913\n29978 43041\n48139 71793\n44859 99590\n11431 70417\n8186 53290\n16276 73736\n7623 41336\n27739 72604\n33227 86256\n26100 99220\n36271 60254\n28243 36545\n50289 94634\n2598 29632\n2128 31541\n30809 78567\n90096 99442\n11941 61777\n9811 63622\n2759 55462\n62129 81047\n56947 89284\n27490 71791\n88587 88679\n14948 55487\n53743 67340\n34585 92080\n61797 78265\n26482 88484\n23505 44118\n12108 57002\n30816 62761\n14608 33874\n781 53723\n244 50071\n16130 92362\n85458 90086\n3934 98750\n3020 97988\n40772 57869\n21995 33189\n15155 95203\n15180 77405\n56585 81161\n59087 65793\n6295 17064\n14962 15681\n43291 81334\n85869 91275\n41010 88533\n14279 45978\n51090 61663\n19481 27772\n13375 78434\n392 44997\n63139 79368\n33044 83817\n13281 96215\n77774 92929\n12320 42592\n20627 61297\n36771 84235\n81095 86462\n5060 30082\n12897 76965\n10805 54735\n10964 12750\n52637 56971\n57139 79507\n69592 76097\n21982 41339\n59224 86016\n72105 82294\n20776 89807\n17031 74218\n45438 61425\n71249 77957\n59660 61268\n79374 87400\n907 75882\n31167 94975\n73246 86692\n73010 76680\n91640 95918\n18324 28495\n46371 98322\n2656 67633\n55720 88027\n78540 85767\n60973 80582\n58141 81002\n32173 88854\n30458 78974\n2568 43784\n43950 81433\n29998 87888\n6342 55803\n61468 97210\n12162 30190\n1152 27994\n79738 87104\n72552 75361\n44155 77640\n24902 72171\n41595 64466\n47966 80715\n47932 53028\n8359 83224\n25054 53495\n20245 29280\n9546 18977\n52600 74858\n18371 70546\n69416 81435\n18847 71411\n12106 28998\n29326 32154\n62975 97259\n52627 72811\n6380 39536\n8474 17113\n22347 58153\n31571 72259\n8236 50029\n51971 95086\n13407 34042\n4540 46880\n42403 97498\n71702 97000\n7512 24613\n21781 75270\n68156 93095\n7322 55738\n65060 88296\n5842 6354\n64909 96890\n42942 44795\n8254 92158\n44364 52697\n21220 88853\n40337 43860\n26548 70560\n31630 94023\n25607 57812\n25070 96150\n74982 97920\n28973 33946\n76876 99370\n53030 69706\n6678 47753\n44365 99004\n74681 93286\n15975 17165\n65514 92824\n9197 47383\n5378 92349\n8210 48228\n22898 78445\n49556 56435\n21494 61244\n33433 94372\n78127 99497\n70220 94664\n19749 22293\n49229 60447\n63543 83798\n34990 92025\n58291 96541\n2023 75006\n30238 71368\n62391 64538\n78842 79015\n95069 98821\n40560 90210\n45448 97499\n36408 59444\n30429 72712\n34383 93085\n43859 88806\n81290 96756\n13979 28366\n21496 76593\n19241 42356\n18535 84973\n51841 92482\n61585 83137\n21936 67423\n66579 77488\n14290 95545\n56880 57853\n6118 20592\n45530 56906\n771 37647\n4771 81573\n37913 69840\n874 27594\n43881 44133\n12068 52446\n23003 97036\n15651 23282\n15327 79488\n55147 73231\n346 65717\n25951 50681\n32356 75306\n4332 73667\n1324 94777\n2877 98366\n18713 21060\n60545 69104\n5874 84114\n22529 32650\n6390 42811\n37457 63941\n53003 79486\n36683 53279\n832 89141\n74329 88636\n51344 66459\n16966 64708\n43744 82167\n6444 51831\n3220 99982\n72202 94922\n20780 29126\n49139 92506\n27738 50223\n2062 36828\n24524 46516\n16549 83581\n69179 88684\n9397 70383\n13720 96240\n12123 82284\n1629 50215\n6220 62003\n31945 38707\n41197 43869\n71476 94881\n19514 76772\n26983 83835\n21613 99699\n6685 81594\n16752 86507\n51236 55112\n40083 40596\n12137 82489\n37827 69206\n20146 30675\n48611 66273\n33742 79520\n40348 43875\n13611 63853\n33804 67552\n1499 95179\n10726 66393\n10789 99842\n60169 66706\n26715 32677\n54630 83627\n18700 70919\n37624 94566\n34378 74506\n57812 74718\n48085 97543\n45544 94348\n56761 75281\n30937 79834\n14754 30022\n18831 72279\n48910 77099\n65727 80020\n12349 60663\n10215 80234\n17748 99406\n64913 98331\n42160 49580\n31711 58697\n7658 30252\n13439 97442\n70291 74602\n73447 92661\n25038 25747\n31846 88650\n20935 24467\n27218 42329\n62985 97142\n7843 67325\n37214 83524\n61604 67515\n53137 71570\n12378 78721\n12936 49611\n76387 86630\n5587 26045\n47104 76190\n14743 47740\n72537 89931\n44353 96610\n26099 47929\n2265 11014\n58851 97650\n11551 78829\n47638 84983\n12440 51000\n36040 66411\n49445 64749\n38877 46759\n38682 81067\n46474 70684\n18069 30512\n65817 82896\n44822 71892\n72611 73980\n34112 75660\n30021 93116\n4149 14669\n74508 74905\n2302 64883\n217 59659\n84267 91038\n8865 16681\n5016 64077\n68022 81287\n59962 77542\n19952 55267\n23969 66190\n29514 93090\n9293 39775\n8922 48815\n21268 88806\n18044 71319\n16867 97168\n4437 20399\n3688 71368\n38725 75403\n44965 84253\n9959 19994\n68751 98325\n25988 94287\n28758 58051\n31605 46806\n22055 56808\n75650 79014\n29919 44038\n24755 62066\n10626 47176\n38809 77192\n17709 70199\n53179 94620\n80354 89218\n8186 16112\n73597 83657\n8585 25966\n39558 40576\n4979 22733\n43926 57213\n5362 70242\n20288 43777\n12990 60696\n20769 37076\n45148 74765\n73511 75146\n61008 62412\n40838 71141\n4531 19900\n6871 62326\n52601 72646\n95285 96748\n9933 76121\n8431 74179\n18694 38359\n74430 95479\n11738 63718\n98964 99896\n65949 85876\n72314 98648\n8738 36163\n37554 62313\n69981 75276\n47966 76059\n14806 18176\n20155 97843\n13295 40513\n17046 59225\n46865 71300\n11340 25466\n14087 87818\n11069 81197\n48462 73598\n11551 43244\n26451 41508\n6200 57229\n10663 94650\n16798 45243\n55794 71148\n8515 84251\n91191 91424\n77884 80025\n48672 66148\n14471 19336\n68983 95962\n19120 89252\n1505 62685\n33869 77404\n92775 95342\n3125 83162\n32684 91508\n85930 91379\n48800 69876\n60289 93303\n72556 99123\n21376 27000\n50990 64566\n64671 88473\n10795 82261\n2542 6807\n6763 56388\n47832 55611\n46349 55250\n24324 83657\n35625 85267\n7016 41456\n53926 92180\n58268 98083\n8668 11923\n28811 46282\n18339 42077\n9133 37181\n83371 94659\n20959 43624\n43929 93136\n51907 73575\n56573 57681\n40738 79135\n11289 95312\n60020 75354\n82087 88190\n71767 83377\n62423 70774\n8434 31805\n16082 29778\n41918 81269\n32257 87505\n12156 42641\n60229 73937\n21255 31040\n30964 60240\n80633 98357\n51935 62407\n54236 63828\n35267 57917\n9827 73855\n3673 88513\n15486 64378\n11398 67975\n30648 81897\n38015 67969\n65060 89605\n6363 22980\n55773 85174\n70984 75126\n90866 94952\n24151 24970\n89968 90953\n24400 66418\n73117 76877\n33229 55946\n6257 57527\n76700 91843\n31539 72840\n24003 24526\n793 25708\n26512 98929\n55220 60417\n12098 16867\n43410 97134\n48404 57769\n9066 48670\n24902 32685\n39859 91136\n43770 88196\n9201 29217\n22057 90089\n35402 92803\n11609 18407\n51279 62490\n1555 64041\n29458 40085\n35239 92652\n47943 48208\n7298 16661\n13441 22909\n13083 76897\n15617 60005\n3930 54969\n79691 84971\n27370 93150\n39202 77983\n42905 57071\n3546 65245\n48555 56607\n82814 89446\n52559 66459\n15907 73988\n12631 89926\n35472 41287\n46856 71101\n57025 78178\n53467 80040\n3722 94618\n42049 66594\n807 29796\n1709 2242\n18180 79773\n73326 97629\n2206 39696\n42241 70210\n17061 33788\n21148 88051\n21218 66878\n1212 64502\n80827 83473\n11683 14728\n29329 82387\n2112 21768\n20259 79006\n9511 27469\n65743 74214\n72087 82011\n30654 95092\n25887 45548\n63439 66376\n50097 57322\n244 29567\n15205 96792\n45314 62832\n32273 78650\n81833 84202\n51451 69773\n85938 92579\n29579 36319\n41881 71533\n159 52080\n16004 82621\n46088 61941\n46393 69403\n8925 9076\n9670 33443\n32643 92653\n14877 38444\n10428 52517\n16293 69159\n21086 69680\n82701 94648\n66909 92455\n30510 85847\n11289 29146\n41014 81246\n29232 40316\n86939 88577\n63673 65216\n36862 85695\n24305 86055\n48486 77829\n81604 82785\n57511 61414\n23427 33479\n33357 51942\n1064 56908\n11817 46205\n46590 98344\n34064 74963\n23751 77774\n13062 41831\n59903 73126\n4254 89819\n12884 31758\n57538 78270\n47160 61847\n15783 34803\n61323 90249\n14692 29364\n4907 63790\n46695 51186\n5613 33071\n36720 66939\n42478 50420\n45681 79308\n16308 23179\n1985 18356\n42 97500\n58864 86052\n60048 94598\n1641 27173\n66545 76392\n75465 95817\n87517 91753\n11337 87200\n13770 34101\n14164 94689\n38410 75286\n25176 97294\n60819 82878\n13862 83311\n10194 19210\n43708 47709\n11406 23421\n9640 75671\n8970 23618\n24520 36527\n44223 94933\n7619 43550\n36145 87244\n41218 83976\n72338 72384\n40695 54960\n75976 80453\n44144 70069\n2671 89478\n49404 68341\n65635 67484\n35489 71682\n37256 76678\n68253 77879\n44432 86558\n43315 95331\n47462 52945\n32796 69632\n7503 18385\n43989 93188\n8873 95450\n80372 81832\n30964 66417\n41983 93913\n21833 35931\n30321 33747\n31567 64799\n1498 89839\n7991 26267\n27165 57977\n36275 89541\n9508 74708\n12224 60083\n64453 94662\n77915 95298\n17375 48249\n50448 81714\n82061 82995\n54791 88343\n8335 23017\n14801 27808\n23037 92840\n16814 53526\n57091 93391\n1502 79033\n1691 50336\n33288 76649\n20198 75918\n16090 71999\n44671 70549\n51995 92622\n22777 34122\n8576 12922\n19919 51753\n37597 48158\n70674 81916\n15397 61394\n45350 54024\n51201 88762\n1385 27637\n50476 67797\n36202 58973\n23369 95435\n4403 62484\n24357 71055\n36607 54622\n44688 62708\n3058 47574\n5323 83870\n28129 45923\n55417 92561\n58695 82828\n67529 99563\n61522 89068\n1851 8429\n41425 69262\n7363 53436\n5940 35627\n7738 91992\n46686 70930\n12750 19114\n69105 82657\n19661 84386\n7274 74792\n46088 54365\n80111 81432\n71413 79897\n11424 27105\n52461 71218\n37915 45655\n57641 97440\n22567 66020\n10738 17720\n24136 81758\n20640 36632\n23786 89645\n19781 92570\n80740 93406\n13210 61953\n416 73966\n84922 95542\n15834 29933\n18155 99836\n32480 39153\n7070 62421\n30642 38944\n68510 92808\n8356 13247\n4379 7298\n58774 71831\n4976 7760\n2543 22321\n51582 55499\n34141 41886\n47258 76679\n30038 89786\n40307 86790\n4954 30696\n16029 53833\n5582 72639\n75638 88335\n88827 95499\n32556 50612\n23210 54056\n28631 93768\n46165 92957\n32243 79703\n5143 75018\n55881 86552\n5254 12027\n41506 87981\n77357 88864\n47352 80868\n56910 69144\n25148 34465\n29036 55072\n46791 57173\n28421 92104\n4796 68504\n62819 83472\n28275 45170\n85094 86834\n50284 66195\n55799 76064\n31932 75897\n6769 76485\n44843 49355\n61734 67391\n59471 88291\n55923 88961\n98143 98494\n40353 81019\n9158 95911\n6840 59686\n30095 77317\n67865 80828\n48625 66227\n16699 19333\n23098 30290\n6321 31198\n6990 86719\n39578 87981\n7371 74767\n9029 27603\n64743 72994\n11545 21955\n19871 82911\n22039 27034\n2183 20961\n973 32302\n46713 96463\n15708 19844\n5948 20530\n48955 85436\n24913 56881\n24882 59031\n24590 32047\n19786 63542\n1818 29806\n12244 19100\n22543 33077\n95855 98820\n63198 80888\n53872 89659\n21169 37861\n4282 17233\n3704 61580\n42006 71821\n10798 91551\n83505 90681\n8587 64285\n10646 88969\n75820 96969\n10303 41211\n18499 60578\n42833 97315\n3184 26056\n3466 21954\n27944 70002\n61037 94287\n42113 77072\n23667 80134\n40132 71180\n7950 92212\n61340 63931\n38525 60066\n47275 86365\n9503 97887\n30268 85940\n1935 79598\n29241 67189\n23247 26725\n45664 72862\n29388 35853\n450 15691\n3803 71823\n58140 60600\n61328 73486\n60217 76362\n18374 77901\n50960 86080\n41803 50739\n42515 55644\n23732 59028\n35553 64252\n93068 99682\n10077 60835\n2747 89114\n9109 82338\n26215 75200\n10143 95495\n53881 88418\n15341 37012\n44993 67314\n24636 48348\n52970 68609\n53958 56895\n4580 86430\n29567 86029\n7711 45029\n37012 39816\n38340 79644\n18109 61342\n89 59431\n52734 63962\n56001 88835\n28963 45909\n50213 93639\n71860 73737\n17524 30793\n48750 62727\n4115 35670\n8282 37381\n3169 46680\n12900 54769\n4085 80895\n45468 97690\n65233 65848\n2476 8237\n3799 22806\n31368 57729\n66749 94149\n43984 65788\n88655 92347\n19459 81988\n53548 62959\n19976 96397\n76704 97349\n44244 65970\n9650 47237\n7988 25900\n23247 97437\n49777 82185\n76961 88619\n12533 94432\n86232 99428\n56827 58203\n75602 92321\n29300 83158\n25514 82974\n60791 65466\n44158 84994\n19803 57247\n21991 87689\n55821 68839\n67246 94306\n12293 17863\n71524 82557\n3955 16795\n24850 52034\n6580 34363\n25221 93109\n78912 95381\n53609 71623\n13342 15018\n51450 78241\n35920 86813\n97573 97875\n36 38374\n15428 33723\n43169 87506\n38513 95493\n47991 63607\n17967 47794\n43992 55797\n6439 61847\n40366 73451\n71933 80526\n2263 79579\n47129 93625\n12510 56353\n19425 65982\n32124 58945\n25804 71862\n4625 21484\n3169 73686\n67212 95137\n17820 57139\n23032 34539\n79964 89723\n46049 86856\n62844 85510\n27549 80791\n19368 20430\n32044 40060\n23148 48837\n25052 36287\n9520 92658\n3750 58031\n80050 97612\n76960 93649\n13969 49270\n10926 38488\n16084 75473\n13052 82849\n43965 86772\n47319 83337\n3597 70463\n28464 48531\n21339 47867\n56532 93758\n9499 99756\n15724 38811\n9144 73221\n553 85693\n12700 97470\n53444 63346\n1964 28263\n40487 81029\n70418 78869\n77535 92868\n42192 67706\n44393 91364\n23705 30280\n45700 76065\n22353 63294\n69527 93260\n4487 51245\n62954 79354\n23607 25186\n25997 99876\n46933 54762\n16121 32242\n74624 85568\n34108 66762\n6291 46847\n29755 74298\n1821 11992\n94120 96104\n67371 72339\n55969 69774\n12024 75540\n29075 36968\n6487 35920\n10182 19665\n5116 77619\n48684 83983\n13643 36876\n72165 89626\n16742 43379\n22970 73953\n67551 88074\n25065 34883\n32324 89379\n11101 23516\n32387 61364\n19051 52021\n7443 69313\n27386 95699\n31398 90475\n19637 78819\n68241 81240\n47352 88883\n47938 48543\n3723 50536\n5830 28858\n68055 82149\n45655 99511\n82174 93146\n40729 82859\n60013 68972\n1183 60377\n79471 82632\n33545 65037\n1118 34927\n14757 85756\n2313 77233\n20958 78848\n2767 96751\n25219 74898\n35650 41711\n79883 86962\n4584 24371\n31454 42555\n76611 90767\n12703 12711\n42998 69559\n9041 37452\n31111 41652\n14226 41735\n15380 35144\n12087 58383\n28123 93889\n18 60166\n44351 47574\n58819 96409\n36735 69264\n44676 94926\n8122 27395\n7057 81411\n16684 77837\n54584 54958\n26583 99899\n11009 82030\n11241 78305\n16712 25739\n42372 70682\n54233 54358\n31951 96168\n3636 68356\n44212 97961\n19865 55785\n33715 38242\n75955 81564\n22873 37677\n51980 65723\n27342 56860\n50859 71006\n19907 82314\n4500 33294\n36288 62563\n41057 62207\n13176 59664\n11457 21778\n27288 77114\n49069 56619\n48087 82063\n43014 66362\n69872 98944\n37587 72701\n48171 66722\n87884 91506\n21987 94352\n23401 73946\n5976 29336\n37260 63888\n89190 89571\n9007 63926\n37495 38805\n25195 95606\n35915 96961\n15713 37696\n4945 28074\n31101 60102\n21290 84630\n46121 99755\n47281 50594\n11148 15260\n50418 60048\n45811 97076\n75804 79191\n14961 16894\n32225 67662\n75518 78503\n34524 92788\n27652 29622\n45691 83318\n36369 40762\n62510 71608\n68079 95608\n52079 87064\n24801 75328\n7316 29101\n15082 74233\n104 79154\n33106 74029\n7159 8408\n18581 65481\n29600 57869\n3341 51831\n24169 70511\n29630 74798\n55462 85499\n36943 64038\n24256 40313\n4834 4947\n20296 80722\n25127 30171\n16443 77186\n2498 95219\n235 88263\n16470 27144\n20901 85538\n6726 64927\n85172 89753\n26108 47303\n27623 40557\n38581 42586\n30159 85764\n42813 87550\n8670 78651\n12828 65660\n23106 93050\n49750 76319\n676 46643\n37978 74902\n30507 67380\n26946 98353\n50468 71799\n48320 51147\n12888 50878\n12118 47479\n39334 46467\n16924 83419\n5296 74697\n16270 23907\n18017 40216\n14098 80155\n48158 55805\n45530 77993\n2698 30963\n61776 69873\n61250 83504\n59233 96378\n56795 71945\n59214 82123\n60101 65738\n34081 44412\n1691 16449\n23487 47796\n57121 99686\n76665 88375\n73624 94248\n27758 72474\n70560 78075\n12119 28606\n61860 84475\n3730 55634\n54266 82682\n5656 14598\n25950 51422\n25312 72098\n56044 95758\n39215 50478\n89363 89529\n12990 60876\n50979 70177\n21732 38032\n86491 97901\n54418 56271\n12555 69973\n17204 37558\n41863 58077\n34513 48102\n79146 79327\n30033 78125\n64080 69079\n77069 94741\n36184 80525\n34513 46473\n68810 87149\n4255 43451\n21488 51308\n78969 97501\n95934 97642\n4393 81299\n57298 60331\n15313 67993\n44231 50521\n49259 49898\n14848 22533\n31332 80374\n29864 96380\n74604 99771\n66282 67635\n86832 89763\n42096 87338\n5936 8198\n25648 32773\n2079 15016\n30869 33800\n3584 43997\n63343 97953\n18098 93782\n80628 94069\n1547 84272\n54974 78187\n1109 57112\n44610 85599\n60580 60708\n56005 73532\n4761 99828\n19235 64865\n35101 54944\n87499 92193\n41034 52954\n64740 72074\n65055 87277\n39392 99594\n67620 90108\n38332 56492\n64596 67020\n72122 98767\n9019 67863\n44960 81414\n21106 45759\n10022 70729\n34973 47021\n53212 78604\n77210 97662\n58499 87484\n4683 53285\n24309 93847\n25234 71466\n15340 81112\n13701 41702\n73589 99179\n15388 89282\n34634 90447\n64207 91158\n11596 73814\n9045 26884\n32784 53727\n31707 67679\n41707 47973\n65058 98164\n78327 95810\n18749 32045\n41030 75850\n46799 66493\n85554 93251\n82617 83934\n37565 66835\n3683 82577\n82160 89819\n25898 97150\n89390 98692\n9831 11368\n36395 93444\n19736 84641\n7225 87263\n7127 25442\n19693 97834\n14853 83230\n73492 79131\n49096 97988\n46171 90876\n2657 3720\n22005 84087\n25133 63206\n38635 59665\n51631 57799\n60938 99068\n56962 84821\n56741 65145\n79912 99534\n16094 27705\n52727 78015\n43527 52351\n24441 26908\n410 62981\n22086 86725\n36524 74235\n30060 44250\n50411 68273\n25535 37661\n57349 97473\n33332 88041\n26864 84807\n61572 74954\n22909 59866\n5609 16179\n18303 61647\n37819 54416\n56588 99017\n4653 84068\n28731 76246\n31390 70307\n52999 94481\n8371 44536\n31794 44043\n42621 94581\n16666 69267\n45789 64414\n22832 39397\n52346 60791\n19337 30716\n33184 58456\n17037 93862\n22561 33573\n46570 53485\n1320 25639\n34079 51553\n18118 50173\n20267 60548\n71752 98195\n44438 85631\n6176 72668\n67146 74168\n23557 34018\n26893 78370\n3724 8870\n19699 62033\n46539 86738\n59430 88613\n809 79311\n32609 94861\n33299 72114\n7628 95790\n87000 96579\n70762 76640\n21796 42954\n45983 51884\n2657 56052\n40870 71205\n69083 74037\n24240 39407\n75424 76397\n76100 78448\n44440 60634\n77135 82969\n15177 76111\n36718 62785\n2343 2879\n81906 91762\n3802 9015\n74781 91835\n80891 99723\n52046 67857\n3950 67922\n7679 57676\n4987 31911\n6346 15409\n26027 51846\n26621 49731\n41709 50261\n65029 87787\n40314 74385\n11154 83637\n20746 24288\n2194 61559\n31359 55950\n8846 41055\n12375 13212\n49982 50328\n8107 52696\n15853 41543\n9938 33230\n34217 46744\n33066 96206\n26151 60694\n27323 88628\n27671 38663\n7218 31310\n66716 69866\n1270 46356\n8142 45652\n63695 72980\n69454 81883\n10726 33764\n27477 71141\n44925 87160\n6940 27430\n78007 92025\n513 11061\n11042 74571\n27200 51991\n51046 93781\n92829 99404\n62541 72564\n15309 81577\n9678 25900\n17508 63768\n21435 33836\n18008 62013\n4127 81499\n5328 87266\n66556 92294\n66681 82269\n57773 99694\n10691 57412\n79411 99110\n13864 41968\n28034 64292\n46172 73633\n52405 53118\n37187 69084\n15153 93473\n3278 5303\n8378 44784\n17566 97880\n17481 29342\n53263 93758\n11517 83357\n3225 15570\n36981 68238\n46253 89136\n56402 67538\n6099 89898\n49459 62380\n23361 78340\n69229 74003\n50714 68843\n16791 54461\n15425 47886\n15224 80762\n91001 95319\n6304 12036\n21939 49262\n7937 73200\n10020 83433\n51044 85853\n24168 97760\n27299 27791\n18071 60051\n11531 27271\n12249 41886\n46999 65506\n10640 63212\n1745 72398\n54335 72431\n11616 36368\n2976 27955\n37223 95130\n31749 85755\n7742 56696\n87045 91398\n38991 81104\n37203 90224\n18050 29608\n14186 42027\n18135 57008\n11403 55895\n16231 90064\n45934 48326\n62182 66767\n94457 98561\n42976 77255\n75287 87998\n24350 65270\n23184 86191\n71266 78618\n37444 71964\n24973 76501\n4322 76889\n83392 86322\n53181 99429\n19527 59792\n15969 25976\n28325 33103\n57065 93482\n9115 84574\n57883 85942\n30445 84220\n16580 54824\n44846 90724\n63813 78215\n45394 60100\n14051 87850\n48359 85057\n48293 99631\n45173 57626\n18892 50915\n17853 33535\n84126 86321\n62706 70727\n21175 75374\n23225 76582\n21930 81596\n82282 83957\n19794 24046\n2321 83250\n49600 51913\n79712 84540\n15838 78742\n79272 82419\n36041 75868\n13382 60098\n60921 67072\n31423 35993\n7162 39523\n7652 94420\n37329 40543\n42292 94498\n51511 74275\n40919 50380\n25667 88144\n22567 29573\n54785 79580\n20198 91174\n34336 85818\n18051 60987\n21867 25726\n69691 87583\n6835 21693\n2713 65983\n34623 54691\n67583 86872\n27921 99179\n12287 90908\n43850 49903\n21105 60323\n59924 67642\n21012 21127\n34013 54469\n46850 74539\n17385 77604\n34675 82924\n1889 63671\n19957 23812\n35513 45453\n41128 95635\n9378 13819\n29260 31235\n22273 30013\n20996 75360\n13358 27942\n21422 51471\n44726 80756\n40375 86418\n4311 8840\n18917 27214\n51660 55022\n18451 96632\n43609 90490\n24043 25509\n43970 84226\n7125 56606\n22569 39942\n93402 95544\n9794 74344\n46826 68217\n51828 85306\n14108 44409\n16236 56868\n17868 33778\n72528 84360\n32557 97916\n5556 84385\n4572 49262\n8071 14007\n53228 75609\n32955 40879\n44635 65543\n24927 89891\n34037 59295\n39558 83568\n60689 61160\n39338 65032\n4088 35709\n13295 16273\n48748 68638\n39353 74207\n26491 37086\n28277 43439\n6218 74399\n737 93467\n26558 71574\n15717 89525\n16356 37069\n1836 18196\n24112 64786\n63867 64271\n31092 90630\n62217 80868\n9553 98180\n74614 97943\n61360 99305\n46244 81161\n45340 92167\n5814 48379\n70097 89588\n23014 87094\n41385 56698\n16124 49657\n1221 3915\n44277 72653\n54047 70630\n54039 87875\n45337 60518\n22713 65940\n20431 32735\n27585 77741\n42516 62350\n80112 81227\n21502 70859\n59476 62788\n36859 80593\n18032 39433\n8817 28810\n79799 93563\n2816 26568\n61914 70419\n4361 12373\n15487 97407\n67925 79478\n71666 78055\n38804 87218\n14463 59988\n80936 98293\n5045 27705\n20830 47127\n20997 70033\n48968 98076\n959 3677\n45455 63089\n33104 40193\n3693 54977\n19960 77267\n11301 53022\n39594 85122\n33808 98468\n40598 56212\n53102 56673\n60380 76418\n13526 99954\n2344 36117\n72041 84851\n26569 62252\n26534 45368\n59552 84196\n68306 78450\n81377 83145\n5124 23461\n7131 24804\n49449 59337\n1023 25107\n62444 90549\n66919 89704\n8238 46153\n10703 56790\n43294 50918\n19668 88616\n10668 66698\n4399 28368\n30910 50726\n16072 32214\n26092 32406\n64899 76925\n10087 84466\n36484 44007\n33665 90686\n27594 61207\n10191 93232\n29515 67102\n12514 34378\n35292 95048\n15192 80929\n25532 88378\n20173 42907\n36801 91145\n8429 64328\n33761 90761\n64839 67335\n37931 44300\n48344 61961\n31791 49102\n6318 47460\n26126 87504\n18402 63385\n55645 95238\n21218 97093\n32921 33760\n65663 68423\n27788 52734\n65467 96190\n41898 75906\n50947 57211\n38993 69371\n1139 58703\n48587 64624\n71487 73883\n16636 91676\n21994 31476\n8501 9936\n66403 75302\n25439 26321\n37817 39277\n2710 71526\n53715 75601\n42665 54698\n7342 74433\n51307 66007\n5903 54798\n31455 74908\n4502 82473\n19505 34266\n39210 45543\n4873 9718\n71545 82117\n73294 79572\n11585 57528\n3282 65799\n37784 72313\n5124 67839\n4439 49949\n32045 68952\n11531 44177\n31050 53856\n69775 94718\n35125 45889\n6313 90464\n5201 25727\n2498 46978\n19154 67924\n20616 82361\n64239 77801\n18464 95996\n688 98000\n35097 60522\n3480 76528\n57917 87892\n23436 34275\n3120 16218\n44172 59514\n19229 33387\n65821 98678\n21257 54132\n130 81520\n2759 71168\n66065 68074\n31227 68082\n12450 73546\n46469 71490\n32043 81210\n7679 93264\n43685 76101\n28158 93765\n53704 70190\n25768 55069\n12438 97191\n20735 60562\n6798 94909\n50889 76632\n5604 94855\n33882 63371\n23334 88894\n482 22720\n17372 19262\n90055 96081\n381 66236\n39871 93132\n4584 23750\n49579 75976\n17736 52954\n1637 63239\n74523 97384\n22251 85700\n38983 82261\n54695 77134\n29631 45822\n70715 78771\n14189 92054\n28526 44510\n8004 44024\n57895 61608\n5417 20338\n21444 49667\n29330 62864\n78587 99652\n65633 72782\n1673 48851\n68616 96597\n19036 50160\n5053 97717\n40701 98208\n17954 32784\n63379 96877\n10943 24066\n9999 63524\n20903 83284\n1305 60815\n51699 87464\n43857 59633\n64406 79573\n10704 85180\n1923 82852\n63620 70588\n18309 95714\n65976 75918\n73595 91432\n13280 58734\n3531 15033\n34871 54759\n40176 49518\n16258 23352\n13408 85924\n8791 33772\n71918 87652\n10512 81225\n45937 58343\n4266 68094\n15612 28160\n11771 43577\n14217 30462\n15911 80655\n62243 93485\n40450 74688\n18718 25771\n27676 80781\n56211 65665\n35938 95175\n45505 96154\n25598 96832\n54481 69791\n12638 73703\n7984 82760\n99497 99795\n16851 41958\n28229 67778\n5533 94648\n13172 45715\n32048 77857\n7531 50333\n37581 38056\n2062 9449\n31970 60000\n38542 41160\n38787 78942\n32273 79645\n10618 61145\n58047 66793\n49901 85609\n20449 53151\n16430 45580\n15095 98171\n27616 89693\n67513 88133\n18165 96630\n70356 91218\n19124 96805\n16652 79640\n40570 70876\n59810 86217\n49203 77102\n29170 31497\n16393 71615\n28523 54431\n31755 40520\n43406 73671\n61654 81573\n28213 38391\n21520 65694\n22485 29736\n1861 62945\n55758 69966\n74019 75880\n37385 52013\n25061 82497\n21 927\n39364 95930\n19667 45117\n25526 62369\n6630 99311\n1077 61297\n11386 74809\n20548 72744\n34946 42106\n21395 69135\n39226 70601\n31219 37615\n47188 70824\n21597 85226\n71564 77259\n32674 95929\n8417 24446\n71016 90866\n33086 81810\n10375 80580\n41121 99235\n4991 42524\n85068 89556\n8812 51450\n20941 78023\n162 88437\n68637 76490\n21535 91121\n33292 92968\n16180 49351\n24353 95588\n66896 73661\n66433 72582\n51817 88089\n36338 81156\n13763 97167\n19233 45757\n50251 77902\n55519 82650\n42463 47479\n13854 49867\n78247 97764\n71966 88886\n54326 64763\n33446 48766\n76958 78729\n20869 31105\n16198 79705\n44521 59415\n50697 99065\n28327 41580\n21478 50564\n68310 91686\n20237 25914\n25229 70963\n57353 60988\n61983 88347\n15903 81816\n21160 27503\n7095 14326\n6995 63500\n30192 74833\n48476 53833\n11127 83865\n59405 73150\n41555 59954\n9936 21915\n32976 68287\n10736 85749\n30909 54854\n7875 81368\n11706 35228\n25067 72543\n23029 64624\n26183 48943\n786 56658\n92887 98946\n75803 99506\n79107 89319\n39401 42854\n39879 41199\n53058 69980\n57345 92374\n2038 52481\n31668 45396\n5644 68971\n54996 98476\n8740 53139\n9961 88557\n1198 57681\n37871 78871\n31332 98138\n12227 46792\n49732 65768\n65278 77831\n74435 99647\n11355 64970\n8415 13158\n2451 56193\n4617 25614\n49911 71744\n61025 75613\n59553 89393\n19046 52306\n3356 13289\n26729 97705\n13432 68919\n3685 32694\n21148 44271\n22288 69003\n41438 54932\n49664 85946\n19589 53726\n26156 97787\n2684 60658\n16398 34215\n13749 69873\n7963 39247\n45447 53981\n6989 62749\n2236 92711\n30492 50124\n3320 17423\n70031 71156\n89110 93172\n16995 96283\n11949 81256\n36091 63897\n1329 73496\n45345 63601\n15671 29697\n67348 79159\n21876 68461\n3192 47490\n12452 29503\n2431 90714\n40908 60130\n35520 56214\n16980 45482\n13512 29327\n72792 78922\n19303 42191\n34720 78404\n49478 54625\n26515 57535\n38528 70386\n16041 32036\n1673 62472\n43030 52247\n7949 51060\n58748 68065\n10064 63833\n43478 54869\n60260 83743\n9334 78707\n29794 31161\n13626 21341\n84295 91106\n16920 37231\n18496 54416\n13731 29045\n64460 76405\n357 77273\n24748 40393\n38051 55847\n34060 99238\n23399 50846\n20181 51337\n38175 45336\n892 3561\n61671 88528\n26187 76719\n58494 58661\n17129 93320\n51203 63992\n37858 89159\n94007 96424\n7509 29812\n72615 80537\n8219 9655\n57828 96954\n14998 77022\n8175 94340\n86926 87178\n32552 52105\n44756 46533\n1678 62517\n16120 98206\n13041 34408\n20543 54832\n25194 88189\n7759 34169\n57506 67048\n53062 68667\n4327 10472\n46498 79898\n4053 37816\n26951 81621\n18245 57639\n37559 77349\n47828 67695\n55349 70783\n63492 67142\n73466 73776\n15358 77580\n9567 95153\n23028 61580\n33629 73258\n64871 71751\n39002 93871\n56378 87815\n64312 79223\n88734 99001\n37 82799\n91975 92668\n73858 94606\n18217 34353\n28875 80295\n9786 28126\n11707 46862\n59776 96036\n7977 22848\n65617 95220\n20 74284\n23886 78733\n17263 34474\n6580 81329\n34349 48749\n62616 86708\n66882 79000\n17209 73663\n61082 67739\n6406 38554\n21918 68250\n64634 70369\n13691 83196\n17099 74521\n25781 26266\n49490 96801\n88854 91924\n74831 87281\n6730 21609\n33030 86204\n17655 80094\n30943 36361\n28669 88048\n28829 61201\n55601 85820\n12838 93596\n58028 99212\n57506 80555\n37215 62708\n61871 95577\n49030 77732\n17312 90279\n48131 67292\n727 18016\n53700 72369\n43210 67714\n62644 78943\n10263 32945\n790 61307\n60118 79428\n28097 81834\n23784 74625\n69068 80343\n48707 80734\n2830 20181\n20707 68168\n16292 76146\n54358 68265\n5419 68171\n81793 98133\n65475 95112\n56099 77038\n46919 88208\n25815 35338\n76439 86217\n29867 47967\n17831 69796\n19171 52644\n75421 94543\n4480 98912\n33694 68642\n43467 60758\n61890 86047\n40123 81476\n16793 76688\n9735 85605\n49594 87845\n7552 26080\n8348 53281\n56879 91327\n4086 36812\n35905 93828\n63392 99927\n809 46948\n58137 73141\n23314 56594\n36741 79897\n11027 99627\n67403 86986\n17408 90873\n25201 25769\n10587 70013\n35263 93134\n54502 66304\n61330 69280\n41871 88243\n42851 72303\n40237 46985\n2810 4441\n11687 99234\n11463 24023\n16223 62081\n43817 44066\n29287 57456\n13446 43373\n5608 89644\n40400 58612\n66194 99399\n61213 65956\n56493 88408\n54814 84303\n4985 84503\n8471 70314\n13803 56308\n30045 45042\n31770 66443\n10535 67326\n63278 65771\n78501 82760\n36157 80069\n43564 80620\n27777 33240\n48315 55447\n28054 99343\n41225 97874\n15489 17456\n1828 89000\n13360 85463\n30351 93057\n66615 66856\n24789 25755\n3289 27103\n26949 71825\n48281 79879\n45538 62610\n24152 45637\n13171 52833\n40970 41945\n16257 95744\n20623 57713\n5298 95758\n27576 60498\n63136 82975\n7250 76772\n34682 92747\n1439 56762\n13866 66040\n68654 83350\n58563 75304\n30625 62665\n60312 93120\n58851 65352\n30413 90056\n61805 94296\n3747 40458\n50773 83806\n23157 88401\n21208 25140\n21333 47771\n12297 53936\n4245 4712\n54674 63642\n48164 48786\n36884 78915\n37403 94267\n42768 71195\n34641 85867\n13556 39990\n1814 82341\n58801 71671\n58014 81834\n47148 58579\n33235 61069\n77563 91143\n68890 75311\n15736 72546\n16457 96801\n78530 84012\n46815 56141\n87907 95114\n24011 78934\n78838 93541\n32145 82828\n33413 62381\n12014 64696\n20262 78258\n10369 29427\n19837 55284\n33524 82892\n52582 53389\n15026 81439\n76390 97196\n76868 93338\n69723 71951\n54956 86208\n5782 99225\n63010 86591\n67600 75423\n49678 80934\n52762 73879\n5290 16333\n21888 61638\n45222 50442\n20771 58735\n15059 99599\n20283 81645\n28207 74904\n59689 81062\n60827 74662\n6075 74446\n34176 69993\n28121 93302\n16518 72013\n10374 52415\n10200 88822\n39636 50411\n55324 91540\n5218 6930\n33269 99664\n28526 61002\n37264 97987\n12361 92222\n26231 44208\n38509 54206\n29111 78468\n61951 79069\n46432 85343\n28790 90463\n29906 82317\n52720 67580\n62141 78099\n13030 19565\n26521 72077\n23146 42749\n17801 22075\n17295 50260\n43216 95296\n24950 34897\n38957 79779\n82762 86621\n28043 86423\n8290 54947\n38181 74138\n30422 56053\n69430 79135\n42649 88979\n62450 99366\n25407 91720\n15847 68737\n22021 51967\n65516 73300\n30482 48276\n10725 88225\n88941 99063\n21066 86708\n74501 78695\n18019 67123\n17461 59347\n5567 60875\n11562 44546\n55269 80195\n32022 56726\n34770 90457\n30147 65792\n35077 91708\n5425 47291\n58410 81292\n22797 37928\n66674 80604\n13097 57796\n2685 55607\n2431 15210\n9355 95410\n72402 96335\n29943 94674\n15350 24870\n49200 52101\n47250 56488\n28728 38402\n19044 60669\n2737 89510\n62521 68865\n62935 77956\n27283 88225\n24942 87719\n7792 83306\n50159 81244\n17294 46129\n14616 89861\n13545 17189\n30162 86398\n55146 95355\n75731 89262\n16703 71758\n35306 78424\n55179 98560\n48673 65278\n53918 71427\n46554 64176\n58843 75737\n61675 82958\n16907 45469\n17920 85278\n9467 97586\n20752 46206\n32917 77055\n5183 37646\n39777 48642\n13464 83678\n34624 88316\n36106 80004\n51523 79186\n69609 83989\n33322 44114\n37041 89896\n38558 93308\n73141 96910\n33232 84918\n1271 97192\n41867 72040\n60897 81495\n35725 52700\n73880 88155\n43360 68468\n11776 94362\n7293 20154\n49623 95051\n14875 36488\n33709 38801\n14938 20838\n4288 21630\n18827 83624\n77250 80038\n52566 54856\n32286 42209\n20544 98342\n27857 30338\n28052 46042\n10684 49667\n59434 84582\n23571 86114\n91897 93715\n25011 41093\n1146 99121\n4155 80241\n522 39072\n14598 33683\n72737 74846\n19304 55491\n23316 28386\n4168 56525\n28714 52917\n75677 78389\n41827 87176\n40931 50301\n62408 97282\n54684 89312\n83239 85458\n7705 85157\n5408 80365\n35442 92987\n2798 43530\n52178 66624\n34467 82912\n45191 83641\n38668 65729\n24757 91431\n1249 67518\n80479 88136\n8257 96059\n21030 93938\n15076 72114\n4157 94996\n36126 99635\n5023 52971\n57164 91290\n22059 57687\n10464 48123\n50171 56997\n16021 87225\n58355 83286\n21889 84569\n89704 98448\n15521 55894\n38298 93801\n36014 81797\n15647 66166\n29438 92655\n32192 93948\n20625 88458\n23373 89947\n35902 61569\n46659 93009\n13865 28023\n1283 56928\n6981 65686\n8894 16027\n18716 81237\n17639 25635\n9466 97873\n23958 39273\n15041 17008\n13577 55734\n21726 37941\n6991 88726\n9313 59920\n41358 99065\n38242 56618\n26597 93913\n31102 70225\n4720 44818\n17978 39950\n34414 72458\n10569 36349\n6855 38067\n48789 63954\n15423 49010\n32863 58660\n627 80244\n47706 59392\n10394 65304\n19897 34989\n52970 68986\n48929 51847\n4969 14664\n31323 55820\n14097 43158\n29802 42723\n19528 76107\n69628 74871\n11262 98570\n62904 79908\n42357 65581\n60537 80084\n40899 62556\n16459 88074\n3241 8826\n6077 32498\n24804 43570\n32775 59261\n40516 89897\n62265 95487\n60 51587\n9368 56281\n58420 62308\n15054 32331\n40212 83631\n6791 55461\n9734 70965\n62929 86346\n31607 51935\n55282 96599\n5303 17844\n83309 85755\n12159 83733\n58198 83452\n23285 72168\n9659 80513\n31479 69947\n72354 92056\n3298 75158\n11717 64118\n31454 80485\n48366 97662\n72993 78345\n36556 55608\n51190 75060\n55713 95614\n26104 40758\n26061 90141\n68000 81325\n59809 85522\n54260 94595\n35188 93157\n17776 29811\n55839 81313\n11203 55272\n51020 99032\n540 35690\n36894 48876\n61953 70382\n53183 84960\n14435 59174\n17129 48601\n56368 94300\n25719 63479\n62796 74873\n14713 72249\n51295 88784\n59021 86751\n15664 62890\n4013 20151\n1423 38299\n31930 32533\n38220 57435\n79007 81959\n45723 90486\n2157 54692\n16802 52696\n13979 62435\n36705 39146\n31912 94068\n10706 19307\n27486 27774\n23233 91670\n28900 59394\n34098 56421\n7066 67403\n3936 91477\n4399 10385\n21990 63020\n25294 29837\n48744 94911\n78041 96425\n1731 85769\n17092 58629\n22023 85654\n39302 50041\n31803 67302\n45833 53297\n75092 78871\n79493 82419\n12684 57474\n48554 94465\n77844 91678\n75708 87426\n10100 91728\n61183 88600\n34358 71998\n33953 58611\n82268 95903\n24294 34064\n24990 27339\n66754 99761\n1319 48461\n426 36078\n50269 54866\n8595 54552\n12263 92669\n66820 95888\n49469 65512\n61945 94447\n8677 21982\n25148 51916\n45619 65837\n262 16185\n60305 94780\n30743 46609\n52069 95970\n11658 19945\n3464 12063\n36250 55294\n20916 54040\n62645 65164\n21842 74906\n71026 88448\n25068 85003\n18127 63278\n55252 64482\n52829 54539\n16991 17734\n31064 98011\n47854 53849\n5204 9975\n52904 81973\n40227 64448\n23401 69614\n43450 52130\n95106 96268\n66593 76386\n51515 98426\n66042 92509\n65765 93373\n4344 18857\n3291 86550\n1731 43407\n419 48093\n48249 52215\n31863 49165\n19062 20351\n10465 33311\n3194 63681\n31357 49345\n7825 58807\n14630 50919\n35866 50434\n7203 50412\n92356 98103\n12254 36921\n40728 70013\n61548 79609\n41990 95850\n37186 66644\n62864 91945\n852 39462\n11531 69757\n32456 81399\n12255 85079\n52305 94775\n775 79388\n45858 98953\n41890 54817\n1837 65733\n3478 51427\n6742 10285\n46248 57570\n13832 38952\n41057 41118\n55328 95498\n14281 28013\n82697 93459\n9573 37225\n3020 43326\n31748 68785\n46571 98501\n89616 96687\n89253 99721\n70190 77403\n1704 98566\n43560 60999\n23631 53714\n75934 98207\n9648 38052\n88489 97568\n70810 78207\n6323 98542\n17970 51697\n54731 59726\n10715 11600\n28497 98792\n12626 35574\n90852 95427\n6565 15777\n31383 95758\n42116 80311\n35675 87738\n31203 42471\n74009 96600\n4246 93974\n16028 75415\n29025 40383\n45313 53369\n22091 81615\n11513 21475\n24166 33924\n12746 29007\n26690 63089\n37800 93801\n24260 59019\n8941 50107\n25681 51529\n14478 98410\n1969 92536\n915 40018\n46207 47397\n43883 96494\n61508 62603\n20732 65984\n75162 94505\n74969 80310\n20511 47246\n71587 82727\n26500 49328\n34246 97536\n64625 77641\n37164 79486\n19036 36302\n17705 86486\n24129 44863\n16223 46904\n27523 52901\n8976 80563\n27159 63584\n155 59224\n54121 66984\n59642 68681\n83980 97566\n36625 69265\n36723 83150\n16768 66072\n9745 10051\n38288 64041\n11136 49101\n83082 95296\n21565 87500\n15939 53078\n37741 79478\n43079 56891\n35142 89397\n87890 92553\n22729 94081\n61915 89592\n88491 94606\n8589 73441\n59227 83399\n36965 39392\n55214 90146\n1232 25172\n40807 86724\n1053 40598\n13020 42097\n14388 58806\n914 45872\n17512 74849\n76690 96734\n55978 99063\n26228 93513\n9971 67260\n71064 84925\n26899 40388\n862 54823\n5174 58501\n8992 10695\n62918 76326\n19381 46692\n49670 89861\n38942 70435\n11598 48869\n83967 86234\n18423 89050\n27805 55683\n43699 85618\n52624 92875\n50202 88166\n2117 83904\n32107 94461\n12377 40566\n11471 93593\n95121 98791\n39758 87288\n29529 94727\n34469 84759\n19478 28898\n46384 54512\n5772 35412\n41417 93091\n42921 64949\n20484 63954\n2212 80282\n35101 62796\n71202 77599\n24636 68882\n14044 30459\n38823 57035\n15406 66642\n44448 65979\n514 32891\n21247 37778\n38513 67305\n28703 79728\n82652 83619\n16395 62729\n42742 81648\n12902 49067\n52212 84732\n24838 65226\n31790 88136\n6382 45757\n16817 36751\n10098 21480\n10742 50429\n6907 75088\n33181 80407\n11523 97721\n11493 36281\n10500 51051\n3319 76065\n20777 32959\n3296 17905\n38075 48967\n39130 97606\n55060 81520\n8209 63286\n55742 80485\n15794 42840\n8312 33607\n22573 52236\n3901 87442\n35441 94794\n42555 42726\n27502 60439\n36202 89601\n41400 48775\n10748 76100\n73102 98244\n62774 64043\n14230 26376\n66205 86536\n13451 37003\n93033 98800\n41745 71602\n18462 35786\n55866 90265\n82292 94232\n74187 88779\n17125 29091\n96615 97112\n11538 74775\n40329 79211\n82338 85992\n53575 97408\n48076 79121\n31441 81975\n22019 51136\n69838 77828\n36850 73617\n17251 76448\n43764 55182\n55543 58963\n30069 97067\n33588 66594\n61439 61679\n60406 68275\n27782 94376\n67868 86391\n2676 45155\n48983 61930\n86159 97318\n6217 60896\n42273 79085\n19313 58183\n16590 99498\n16989 28042\n62701 65214\n29629 96042\n11012 67249\n62833 83800\n12018 43859\n18267 92663\n10749 20846\n4091 84424\n32212 66535\n8353 75679\n40302 85444\n21394 34833\n59906 66990\n6008 65055\n1397 78863\n83804 96175\n4067 27728\n30615 59235\n50043 61850\n81798 87969\n13878 35155\n18654 84575\n31475 82336\n5034 57854\n3292 5872\n28977 50615\n73514 82004\n25456 47159\n42637 99240\n32876 33202\n26863 97852\n54748 79157\n6116 45203\n9843 22268\n10027 17333\n53607 97738\n11964 72589\n72299 89895\n1317 89203\n39131 41458\n60603 75770\n10090 89115\n73418 82223\n5902 61058\n10708 96659\n3938 81458\n66094 75425\n75506 96908\n10418 42219\n55641 75338\n60513 90692\n81542 93122\n10971 27756\n43223 61439\n26896 97641\n43036 89564\n62157 78891\n6627 37714\n22789 65981\n50384 96390\n42719 68725\n26528 94844\n33129 70781\n44411 60011\n20104 50391\n22464 29992\n32856 40307\n31834 97351\n50514 65134\n61850 62857\n39236 69215\n7058 85466\n22064 66800\n594 67874\n3851 31364\n65465 85858\n40063 77840\n28833 61584\n28191 60958\n22804 43901\n16158 35521\n2727 85442\n17535 19716\n22006 77858\n24464 59771\n8000 81469\n44695 81871\n65358 66010\n8348 94776\n65960 78166\n39840 72826\n8763 61506\n12296 98611\n20352 67620\n82778 86247\n41337 59721\n38236 90138\n5103 47172\n33184 60904\n52544 94935\n2310 18757\n657 68480\n44231 68582\n7022 79113\n21543 28948\n48488 88464\n31215 36934\n4133 14062\n3537 84783\n45023 73090\n17337 22708\n13144 82935\n35745 94548\n18181 59069\n53209 67212\n35062 85358\n39667 82006\n39753 43484\n25055 58350\n76858 96845\n60373 89002\n62162 81777\n31945 79418\n35627 89000\n19467 73245\n9907 29660\n5171 21947\n1794 99950\n68756 73035\n5513 24481\n6695 7581\n30816 97876\n94052 96822\n33059 85722\n8096 19393\n16025 60689\n4436 59335\n24571 98491\n14316 42742\n19197 77629\n12224 23495\n5162 76717\n77098 93137\n19931 50443\n42710 53428\n38375 91989\n3554 69998\n48378 84874\n3814 34594\n27189 91407\n15043 20667\n4835 11958\n24770 58554\n19439 56346\n21602 33054\n11695 55670\n29671 87934\n22426 68017\n13886 21508\n28614 76534\n13824 98614\n49219 93537\n20907 36419\n62203 73376\n36770 50915\n62750 76128\n15676 66219\n11004 78803\n5819 88063\n18516 60554\n1105 55902\n31465 47966\n67694 95495\n13444 35019\n27414 66885\n42663 65847\n36670 80055\n19992 91374\n37023 86913\n34625 99704\n77899 94128\n38013 45161\n4641 54489\n11241 51811\n37475 52144\n36695 36903\n58263 99544\n20427 27346\n14437 19085\n20244 52177\n30068 63278\n79285 85336\n8969 34952\n1835 37146\n19399 56704\n12759 28432\n35900 94961\n48227 80144\n21781 45386\n25827 65366\n40831 63362\n39385 75593\n416 99250\n71206 84366\n24712 83392\n33764 71900\n32015 67044\n72869 76958\n1265 41131\n23579 99388\n12790 18552\n30201 69955\n52574 71364\n26997 83367\n22004 65411\n57755 95161\n16287 96653\n99641 99723\n6158 89520\n80673 97858\n20993 51739\n1640 74717\n6626 46988\n36834 75925\n73446 95353\n73989 99981\n53864 87352\n16858 63937\n30860 97637\n40129 86812\n16171 82835\n1897 83255\n28196 77355\n8203 40217\n35438 45339\n4379 5967\n36693 53946\n15820 77582\n9239 66104\n21735 78721\n81845 94997\n5364 43654\n64634 67828\n45101 53357\n28816 89253\n5354 55697\n27589 78255\n28179 37462\n30144 72127\n51788 83088\n327 86956\n64051 68470\n37099 55381\n22043 40950\n30042 79959\n57130 70825\n11547 76125\n29900 89090\n35765 59743\n30893 93025\n55818 98871\n61092 78011\n58072 96923\n67748 98096\n5905 58971\n6982 85924\n16745 54341\n47629 97972\n13200 93803\n23018 69886\n62215 70923\n10950 31529\n4922 16633\n1238 37558\n7073 58469\n10361 17087\n47640 87778\n75468 98793\n31248 99019\n34092 73201\n11451 31445\n62869 80487\n136 18642\n40653 56385\n4988 79316\n59518 68890\n14790 59448\n13329 99729\n34164 79698\n28885 62325\n40384 63904\n51697 76420\n61955 75671\n76703 88418\n6369 94815\n34327 39740\n38615 54092\n58963 78855\n37653 64054\n34268 90456\n28634 32425\n32018 36465\n7837 43026\n33592 70819\n47611 86613\n38692 56198\n33527 52409\n46663 69180\n55324 87592\n94801 96956\n33075 95708\n30516 58444\n54828 57262\n1564 65503\n38053 89521\n2081 41363\n22941 39609\n21541 72477\n49665 67572\n4771 58047\n25819 46305\n31088 85869\n16816 80691\n75303 83118\n54882 59601\n32880 94282\n18032 49972\n12542 94479\n11445 42708\n27969 42670\n56910 98229\n7907 81098\n19907 67872\n2652 62752\n16279 69946\n13801 66186\n4782 10547\n26190 89341\n40463 89430\n30270 74773\n71384 87015\n25157 99530\n80925 89057\n32071 72839\n12279 82073\n5284 58640\n35889 60666\n41327 98090\n1184 79960\n32801 65345\n70889 91074\n9948 69480\n54188 64497\n49561 85438\n27062 35508\n24793 81971\n41305 60393\n75019 86859\n21593 32629\n7732 35687\n60828 94443\n27884 81017\n51401 89771\n10143 43065\n16903 88536\n29562 83576\n70654 94119\n8786 35686\n37562 39228\n53404 72180\n55074 86770\n19592 98642\n37019 80507\n12912 37918\n41537 61199\n39011 50605\n50751 57865\n11026 74190\n8806 76343\n32750 57639\n13691 99566\n73721 80287\n33237 49517\n15755 60374\n62444 92748\n86399 94103\n3529 89758\n10988 60117\n9922 84907\n6514 12108\n25293 49425\n28828 41263\n53818 91304\n1322 20612\n18173 68986\n45948 77943\n45925 68806\n15929 39526\n32533 72821\n7063 54222\n30263 83669\n10388 89185\n31052 72031\n22486 51914\n66940 83785\n1910 81015\n12248 54739\n8481 48935\n50623 78113\n46896 74965\n29187 63690\n41520 70659\n54330 72172\n12762 42510\n37323 68448\n34263 69295\n84110 90238\n55658 93221\n19927 62124\n18031 84403\n61200 83508\n57599 98935\n33556 50255\n30005 52944\n3398 8809\n69044 92826\n27729 64196\n74049 95330\n57128 98060\n35491 47659\n81412 89817\n9377 15232\n42018 52363\n70108 93575\n38232 47261\n23732 77817\n78719 84138\n36481 72225\n16732 31155\n22465 95151\n25814 85841\n12692 29745\n10204 76204\n40030 95265\n56041 65365\n29786 56931\n22158 79786\n9633 35223\n69429 92562\n36321 82343\n44684 55799\n4062 13547\n16898 20406\n36103 91737\n23696 69417\n16348 39023\n9990 12167\n16193 19232\n38573 98710\n21592 37642\n10081 59567\n34326 49478\n37168 49049\n58068 73241\n56871 87251\n40919 43097\n50543 53752\n5301 95294\n26930 89995\n6778 18371\n90220 91771\n3997 26908\n19114 87470\n14316 51152\n5297 19812\n35574 85253\n33022 56453\n7101 50756\n77064 93929\n79475 81467\n27528 30467\n58291 64820\n21856 56630\n7552 48539\n14015 57565\n799 46960\n52952 83654\n1472 53509\n23646 57866\n2476 69461\n47680 82975\n35237 98643\n52161 97431\n3852 55859\n48785 89959\n17400 84608\n17603 21199\n24400 75019\n48927 66703\n35486 88175\n411 78417\n82728 96120\n9178 72331\n21176 41237\n56876 91884\n12841 83323\n21122 82098\n52238 83881\n32258 80238\n12115 99318\n43520 48276\n35428 66427\n12681 68245\n21338 93808\n34524 83533\n47720 91001\n1027 34234\n50208 74133\n50732 72950\n9546 58968\n267 74877\n16813 76343\n41208 97277\n30882 44634\n34821 42560\n62096 90252\n23773 30547\n54102 97447\n18925 82875\n10540 66112\n32575 78717\n25785 28670\n71947 79911\n27586 67383\n10731 61024\n50323 90732\n1954 30937\n67420 75178\n10724 55933\n39313 47032\n6617 17098\n51996 57370\n18627 78481\n48184 89068\n54108 61760\n41943 89357\n40771 85947\n8511 77367\n29960 32640\n28531 37673\n50191 90550\n65788 71451\n22334 88373\n11756 74154\n13964 44637\n70807 77586\n72830 98783\n6482 59231\n76347 95076\n8147 48405\n4229 19822\n16954 73490\n62533 99607\n16074 65373\n36045 64221\n37425 65822\n16421 95467\n39750 90951\n3745 8961\n15480 38111\n5888 15113\n32404 53384\n19219 40649\n5252 51671\n16859 54379\n46744 51787\n43186 86766\n57204 79784\n19165 71433\n39673 58889\n54314 84799\n64091 82105\n11204 53459\n52537 59874\n12525 97089\n15562 48815\n13675 67526\n10573 57617\n11137 96968\n4036 86864\n12706 43561\n39185 59993\n54246 61181\n25306 39955\n1132 98543\n66155 79260\n21760 72237\n57530 78100\n64049 90537\n22730 90439\n43262 49125\n43808 71629\n80418 90593\n55085 91666\n34260 76708\n12478 54499\n49407 79992\n60471 73873\n65981 84151\n19104 54675\n37185 83500\n54536 89932\n10896 51190\n34985 52518\n21762 85079\n40478 50258\n44153 87991\n12259 76517\n21178 79188\n50250 55996\n2629 19381\n87928 95678\n16425 54836\n2305 32331\n37893 50308\n49886 62352\n18739 64132\n46825 51778\n48721 77573\n22651 95070\n31068 36059\n13791 57463\n52626 77572\n19518 58340\n64230 65359\n52489 52910\n777 16717\n20955 42070\n34889 84447\n15844 57561\n23068 42580\n52228 60233\n36006 68381\n51130 70700\n48242 79352\n83384 94275\n909 11148\n22647 78525\n40821 87065\n41467 53747\n85043 94105\n19953 22108\n41747 76521\n30581 41358\n55830 93026\n35032 77363\n18715 54566\n29306 31190\n43064 93937\n11171 78385\n43273 82206\n81709 95359\n9990 23635\n11321 34448\n35566 84735\n15005 60816\n16589 92719\n47030 63710\n8522 63792\n14804 84313\n4330 41679\n31369 39511\n46475 92869\n23112 77770\n45655 88028\n59127 76419\n3634 94640\n31065 55713\n48219 48853\n19543 86021\n24822 62234\n26209 40451\n41436 51296\n44786 67038\n25166 71688\n60857 87135\n36496 58539\n3969 89609\n10769 49770\n35919 94908\n11560 90316\n8215 45276\n26296 73863\n33616 95922\n29172 64675\n49502 81984\n4236 44075\n64304 80237\n58012 60849\n13546 57213\n15665 99685\n31376 54421\n9337 74572\n42476 42634\n52033 71044\n75409 91832\n8503 92338\n45627 48414\n13568 58655\n65237 94241\n67941 92035\n2440 29036\n27346 69868\n15177 34379\n18338 62466\n19177 52005\n48985 73471\n37694 99880\n31944 46190\n55822 96631\n52433 52830\n57004 62257\n15987 78907\n19741 70983\n9967 58295\n31342 55842\n34074 79204\n4509 19041\n30450 44495\n12431 58488\n3460 6855\n61007 75579\n25145 44313\n55006 68686\n29758 69887\n27194 50131\n4857 86181\n50569 83531\n29313 84389\n29406 51304\n19829 48651\n27909 97122\n18342 23790\n19027 35423\n35086 97653\n13814 37430\n25961 82130\n24728 58779\n14140 61680\n5608 32631\n15686 75071\n41380 42476\n8106 32105\n41978 78887\n77991 97390\n9548 9644\n5925 70681\n49913 85349\n7335 25977\n31138 96454\n6421 34373\n67546 89967\n8270 31407\n52370 77305\n15203 76208\n56233 78955\n33844 94396\n23276 77259\n5802 81036\n35271 84867\n1680 80598\n50778 76716\n64547 92534\n7488 27612\n1373 26436\n3364 45939\n13531 78309\n24754 56425\n78761 98113\n26759 59299\n35919 92803\n75541 76856\n37522 94841\n86157 90673\n13126 89364\n34138 49416\n19737 57961\n3543 47642\n19778 21276\n33520 40927\n6885 96055\n14396 60387\n3534 26162\n923 42658\n41033 69436\n36197 36771\n53535 99975\n41297 43970\n28361 75323\n24507 61273\n19203 49342\n79285 81055\n25352 45377\n62495 76316\n18570 99529\n19574 56441\n3030 83917\n50287 67166\n18383 54081\n3412 17693\n26998 36969\n503 56612\n35605 93035\n1757 39946\n26589 34250\n10261 76054\n48517 72361\n32444 66414\n12579 74723\n23536 48601\n51130 76935\n37942 57969\n258 55659\n27467 47164\n24235 59471\n35935 50898\n35824 44933\n64975 79546\n39922 98971\n49406 58086\n31620 69442\n46201 58632\n66679 89557\n1283 16247\n40655 83213\n12865 76288\n2046 88549\n43310 79607\n24998 94867\n13703 72532\n11398 21529\n14548 63889\n46876 76433\n7307 57518\n42307 67022\n78801 92387\n64784 94499\n25504 98649\n31709 84588\n21334 95336\n27071 61342\n70457 89077\n1734 82239\n24241 91459\n742 38908\n50902 77395\n29989 56805\n5035 63834\n68883 69705\n19786 22416\n1233 55128\n58997 85922\n73223 78706\n24912 92504\n862 84026\n56921 72397\n28657 52982\n531 52036\n45839 58469\n58095 64409\n9940 46362\n32250 98331\n15018 88224\n49026 75163\n35201 89054\n54897 55343\n24104 31450\n54428 94801\n18933 83203\n19857 30993\n4377 86532\n3421 42618\n13899 61866\n39292 82887\n60216 81186\n16052 55100\n23481 32162\n16627 56941\n13110 61019\n74988 86479\n72261 73630\n57317 78493\n5320 98938\n10443 70561\n1361 53155\n35595 69396\n11273 59113\n76646 89705\n42754 56927\n22268 46055\n24687 39496\n18153 25159\n19191 45519\n33279 46475\n4935 12834\n3102 78149\n44811 91266\n8774 91918\n3804 50097\n24970 95943\n85961 92338\n8186 12889\n10850 43344\n20992 24168\n78350 98823\n44526 71015\n29843 77362\n7080 85047\n25825 32049\n4889 49354\n32223 75986\n10469 22553\n60432 98582\n68053 76868\n47607 56575\n18924 22082\n45818 51061\n54577 72507\n76474 78228\n61186 77633\n24831 87220\n61222 61723\n48723 65760\n6746 9449\n12884 81003\n14067 89950\n26118 31368\n52231 81058\n40338 71937\n18837 37685\n48453 51049\n3676 73049\n25901 32619\n15099 26491\n42494 78239\n34661 42289\n85243 85641\n57073 90207\n73124 74243\n42758 59335\n74312 88547\n80768 96975\n10197 13246\n23069 35085\n49974 62136\n5730 55389\n23925 64737\n17707 76400\n49553 67994\n49592 81675\n65311 92182\n8999 51472\n19847 28725\n64094 97692\n31597 97402\n23774 74284\n31100 89445\n10591 94343\n65056 75814\n53819 95898\n61114 83558\n21581 92963\n14405 78271\n33289 91978\n12984 39775\n1087 9907\n56417 78651\n19589 75880\n28637 49809\n53527 96570\n67735 92488\n9474 26106\n33661 59385\n72188 83398\n73957 85269\n53972 76409\n6388 64706\n12604 14121\n64141 73466\n17979 84908\n32368 46085\n13293 79454\n18017 99464\n1637 67912\n1216 18563\n82777 96968\n4979 89038\n61650 64550\n8385 88998\n17237 43683\n19777 26212\n47206 99218\n60292 91792\n7446 60434\n37746 76581\n1582 75225\n26376 50676\n55027 71679\n30686 58005\n34649 78964\n12061 84974\n72499 81672\n44015 78093\n17788 80244\n68574 72286\n43426 57535\n32436 36727\n69915 82488\n347 93717\n6461 97717\n95109 95555\n49994 65718\n24280 77989\n36926 89606\n90115 96396\n28963 65426\n29768 31052\n16813 50167\n2951 97011\n23359 75936\n36526 57832\n18248 85607\n32094 39797\n7763 70231\n29178 93165\n29555 86356\n53720 80227\n35045 35210\n32705 51174\n47857 79749\n21736 30558\n5910 37537\n26727 43544\n8628 71060\n24555 29618\n14316 37897\n65174 81426\n2304 10173\n1214 49075\n73242 77095\n53340 65507\n79924 92977\n7937 76415\n41248 89105\n55603 89401\n9336 57470\n54356 69037\n33069 98518\n3074 74853\n9405 61858\n59417 79271\n7644 25245\n17515 80303\n88626 95869\n40387 67799\n56892 85972\n66133 89082\n15581 59170\n13775 53514\n27282 75603\n28494 49959\n25173 85147\n29823 40117\n48132 52572\n4641 84662\n11547 61628\n54194 71788\n864 5868\n1671 34727\n33683 91152\n4083 38931\n48884 51620\n46902 98403\n10124 77620\n34959 45681\n69108 87931\n7401 76411\n32080 69349\n1504 58057\n42969 98369\n42759 55125\n41480 88899\n4601 33072\n17830 41512\n16850 35567\n60629 74625\n49287 77505\n34285 62996\n1749 43630\n41850 75216\n40651 88727\n17979 44152\n20436 67558\n17250 35936\n56952 97678\n41611 97973\n48403 95738\n38820 81927\n5537 92296\n28842 65126\n14428 65171\n26649 49012\n8873 79908\n32230 63720\n6118 33250\n28835 81177\n27326 80244\n21998 30449\n5680 61753\n12997 20262\n31845 94234\n15675 37444\n55641 96829\n35242 41437\n15852 44374\n67537 67892\n42599 63213\n33657 76765\n35488 50463\n26586 89643\n62263 89002\n26092 63608\n8193 52169\n35726 78170\n15733 50817\n4718 59202\n6788 96077\n13975 30785\n76841 88541\n48054 72779\n14559 72319\n2879 31052\n2366 72251\n30644 75971\n5981 91935\n38080 39828\n28789 51407\n28995 32297\n42594 70874\n71072 92388\n30350 70130\n62151 85525\n46530 64714\n13183 74768\n77121 88380\n13467 77220\n36476 97887\n13893 61532\n1589 85489\n21544 33692\n20529 70582\n18898 32520\n31008 63827\n5987 30135\n51656 63987\n38852 63994\n54063 55298\n50390 93722\n59869 60131\n50221 96465\n66123 81796\n47812 68590\n24624 89294\n22226 47918\n54839 56765\n78203 88169\n9863 80577\n36088 51780\n83897 96455\n2438 79069\n37681 58372\n40856 68522\n8911 88473\n49708 93105\n66232 89386\n36639 99175\n42380 78556\n25508 48222\n4641 68586\n14046 63796\n57781 98522\n18939 52623\n66824 81291\n15302 35363\n70844 71799\n70440 81145\n60558 62791\n30906 36854\n45642 70986\n13770 87179\n58839 64285\n53690 87407\n60602 64480\n2 51842\n32285 75039\n31744 69773\n42247 67497\n84898 98378\n6585 76294\n40900 83167\n8767 36939\n68617 82595\n23581 72546\n45860 69802\n10102 33377\n747 23368\n79878 90358\n19547 80384\n39807 56426\n67124 88367\n27338 83064\n6457 71879\n8174 88882\n4324 51294\n9 24799\n16444 72589\n79690 97767\n27276 98730\n23124 33538\n65497 97414\n64902 79370\n7599 90569\n8681 48959\n11080 40436\n57262 75439\n77898 97900\n5830 53071\n49734 54581\n3592 59843\n2881 78382\n16169 21183\n66975 70707\n1335 38353\n60721 60894\n20880 26381\n26223 53009\n32776 57199\n15963 76811\n49746 65825\n32329 79241\n90942 93183\n40562 90100\n2497 3600\n45113 56444\n42119 89753\n26530 94415\n6323 73104\n60692 93143\n45553 45783\n27510 68734\n19401 92018\n54948 86113\n27182 46954\n34144 48458\n29661 79917\n41562 76457\n8003 78345\n19118 63848\n50254 94687\n32909 91882\n36861 81034\n6792 39896\n31079 48828\n33360 43477\n41777 64863\n60178 86239\n30484 48959\n53971 70706\n34004 60281\n67734 82890\n42446 77213\n20817 84124\n10284 39313\n53849 69939\n58724 65010\n40565 69087\n37735 96101\n11980 34601\n58330 89635\n42972 61792\n19489 47752\n73352 92864\n4610 54274\n23153 99421\n53069 96807\n60782 68179\n1898 9762\n40603 58317\n25910 97089\n4574 24708\n36837 91841\n51186 99676\n20889 66965\n55328 96255\n26429 79799\n25456 46280\n27810 89021\n72403 93655\n13756 28087\n88324 90989\n1515 7606\n4889 81484\n48513 58481\n28243 97670\n39272 55334\n32673 91178\n3235 69162\n23282 35914\n36858 52560\n54401 88736\n45928 54989\n71915 72411\n25662 59499\n42743 88140\n17660 40084\n51013 66361\n18623 75470\n4374 87601\n61695 74667\n28493 46013\n28029 48500\n14177 61219\n35903 68050\n24974 74836\n60490 76901\n9439 19323\n13533 36209\n92215 96741\n41937 42119\n10196 73353\n41764 55294\n44512 71700\n84252 91749\n57164 85823\n34492 73274\n76187 83163\n7892 89185\n15181 28498\n1494 17587\n8520 61345\n53706 90900\n66913 67861\n9464 42029\n10643 74772\n40886 99772\n43379 53989\n27789 37941\n4943 46615\n8831 36424\n36657 84754\n57111 81194\n4839 32432\n36839 57931\n4473 25794\n65555 90633\n53617 68632\n21941 46094\n17087 54986\n38774 44555\n25075 83106\n13767 37522\n80685 94258\n41277 55687\n24397 47345\n2562 46465\n52135 52550\n77012 80063\n26407 30239\n16997 91619\n86265 95289\n30848 61313\n71039 90024\n2010 28923\n87345 90274\n6603 70114\n93877 98110\n28705 75738\n57528 93099\n73583 74820\n6457 64847\n5129 11104\n17148 80120\n41654 97365\n51596 54769\n7494 18036\n94479 95021\n27731 34847\n39998 48234\n1638 38510\n5904 7597\n16981 70649\n58707 82139\n32175 55820\n12290 50556\n50907 73869\n26192 88039\n21412 23829\n50470 57660\n58085 88778\n7261 87169\n11453 72553\n12657 73382\n26931 35285\n51628 57225\n45474 84559\n20220 46855\n42793 60082\n36767 91852\n78456 78926\n50587 55488\n25729 52900\n3644 32142\n10392 79089\n84515 90636\n53916 61676\n2751 47794\n16753 88839\n7579 95402\n2025 48187\n45569 56332\n24148 67142\n35157 44102\n28762 64476\n63185 70732\n9755 23267\n52850 81849\n34372 48083\n2796 24112\n33218 65500\n28538 56688\n59262 86036\n8998 21197\n56117 63809\n86586 95271\n23817 48694\n16436 83267\n6125 43344\n6048 14296\n6828 50325\n48911 50595\n40758 71410\n12325 94427\n5356 13290\n47548 90167\n25001 57628\n23197 46883\n58962 74884\n14369 78948\n13831 87457\n23757 85601\n96500 97701\n12917 47618\n11858 16192\n8820 38226\n27596 27776\n17063 21701\n5297 64577\n6102 11922\n34518 90986\n46814 47686\n46288 50093\n28028 45630\n32985 86840\n84732 85927\n62843 89278\n8164 96941\n42768 68212\n54199 85875\n1508 60059\n8553 27509\n3797 24956\n53094 68629\n8448 47005\n55288 70316\n78967 87668\n2053 66519\n12363 55625\n22508 77934\n24425 69851\n59594 77706\n75512 96222\n29788 55001\n26151 97025\n32819 93767\n40360 84133\n80485 93689\n28767 96949\n16221 97965\n35181 92316\n51734 91003\n34407 71402\n50701 96288\n56741 93339\n12767 23441\n11553 44347\n16500 17798\n19843 28634\n60449 82478\n7290 67790\n21783 59570\n84586 99967\n12725 31572\n89178 92402\n20467 25179\n64314 85722\n47127 64843\n14482 83374\n17494 80477\n31814 88945\n22458 52013\n37853 53278\n32043 95624\n19855 21527\n61997 71220\n42178 82595\n22567 37691\n71170 72788\n56464 59051\n6011 38630\n56561 81561\n28832 48488\n47172 51263\n10661 85903\n85658 92463\n72761 88695\n15799 16877\n23860 35535\n2187 52394\n60029 81632\n38857 94539\n33283 89961\n29493 61521\n12624 65582\n288 32846\n52384 86320\n42463 91242\n43601 55601\n34353 81822\n65737 74001\n30131 42924\n31539 94710\n80490 97420\n14268 76352\n34907 85680\n64815 96890\n12285 32383\n44973 91931\n28381 60807\n19783 24519\n54870 83743\n15924 92635\n53746 68663\n30808 83715\n3802 99353\n19625 91373\n24999 77192\n21463 35507\n80186 91778\n49930 57775\n64613 82757\n14135 16660\n23212 87380\n87814 89167\n2708 34214\n62112 87358\n49697 73609\n26673 59570\n14016 25529\n49251 93501\n27409 96420\n12771 55246\n70929 94707\n3719 26717\n2885 18789\n14242 32945\n20831 78754\n25198 30193\n6246 96139\n57056 78824\n23243 90234\n48259 88498\n28935 74613\n51106 98282\n1144 16225\n24088 76507\n4958 81139\n69420 92147\n22037 59176\n40915 74595\n41625 43245\n51118 63176\n49790 84529\n28757 99257\n25760 62577\n73351 75888\n52973 78427\n3609 43160\n19598 76600\n19730 44982\n36459 74649\n28445 66774\n5097 27555\n15712 91643\n26503 78352\n71134 92980\n53003 62823\n60456 76813\n9859 57439\n26379 72956\n70368 86095\n44963 87892\n36163 65709\n3017 86117\n40987 92502\n32171 46155\n76148 92254\n25814 39009\n6325 56398\n4604 35362\n30502 81542\n8124 86744\n34011 56210\n26362 55621\n10077 69885\n79127 91395\n26140 37003\n57057 59282\n49763 58175\n18063 43758\n44700 78774\n72477 86865\n17955 94200\n214 32276\n42019 98313\n19378 28162\n18097 27314\n27153 91653\n15268 28373\n35642 70380\n14794 49388\n69744 80744\n2220 87391\n74303 74747\n61828 74954\n96665 98586\n22996 38580\n17734 33689\n23092 83825\n4185 34568\n2542 45216\n5501 42731\n22027 96657\n63660 87087\n6032 49800\n42743 71304\n9623 31159\n34407 70908\n70420 79459\n40865 57018\n68209 77489\n46456 62431\n36357 93380\n15229 76487\n47847 59586\n33120 73559\n13777 34551\n2264 59388\n43227 70636\n57032 70503\n13516 44341\n24267 87046\n40813 97753\n18171 74544\n11263 20694\n42294 58679\n49685 70966\n61068 80793\n94104 97172\n14163 63863\n10341 84094\n43485 75677\n2201 50577\n68304 83330\n58397 91773\n7811 28772\n4435 54875\n65592 88125\n39729 54112\n55677 56174\n44856 85737\n50250 94708\n53172 96022\n31134 46130\n52818 96701\n58772 95497\n68304 94896\n40168 82404\n94 27136\n21937 39496\n39173 48318\n22681 44108\n72581 95818\n40595 61529\n1804 18473\n5861 18562\n33323 80322\n68392 78513\n23923 87340\n59976 72452\n51135 66689\n47661 61804\n69844 84477\n57569 60695\n47145 58178\n38503 90568\n15574 33024\n18214 19480\n21647 35985\n6521 70409\n71873 83204\n132 10362\n43942 87338\n2060 44970\n21008 22817\n19082 52363\n14934 23033\n2596 26211\n10412 48319\n31939 44439\n39040 87829\n27074 66592\n5129 25835\n58535 70982\n9395 30612\n8742 66091\n91094 91172\n19759 98243\n21955 30715\n71918 85363\n4570 62944\n6217 87189\n10822 51088\n12158 83974\n39373 93367\n43343 46686\n46683 79835\n56020 64267\n47429 76958\n85433 88959\n11422 30078\n34178 94210\n26896 66139\n24374 81028\n55218 69872\n52833 70745\n13913 23065\n11347 31843\n25014 51792\n13161 78128\n16241 75928\n6465 19877\n39836 76615\n30837 81621\n18689 47085\n15308 53135\n68773 87901\n16214 36360\n51158 58125\n63564 87941\n15859 58608\n15015 79707\n77114 87949\n32135 69364\n15396 24913\n28034 55427\n4508 32797\n51243 89797\n29237 55146\n22288 53975\n24027 44029\n28433 58720\n9803 21557\n35420 39235\n53590 71793\n56595 66965\n19813 75614\n3597 35628\n99191 99783\n2716 45112\n63961 93566\n8341 31202\n43837 44818\n70725 84307\n16810 38035\n31158 79570\n60487 66638\n42999 77657\n42923 54115\n16271 17583\n66809 88919\n48743 86212\n42236 89263\n919 75894\n16664 45246\n30305 79160\n89781 96522\n53804 80855\n13582 51636\n8302 42290\n54726 86901\n82875 97147\n21773 38471\n16646 85672\n34608 45622\n21908 56322\n2204 22281\n36086 51188\n10796 97756\n26881 54446\n44974 81713\n18623 66509\n1711 70859\n64252 83064\n31693 90733\n7246 89535\n62806 94762\n22703 33689\n2846 48626\n16502 37409\n88339 95116\n28439 55762\n3790 91761\n30018 58370\n11567 95608\n85205 86932\n664 39949\n16435 96166\n4383 59682\n64334 85540\n4258 39973\n47176 83137\n31650 33779\n3643 61278\n3345 51511\n17856 62818\n5068 68033\n8711 40933\n13551 98648\n65690 95049\n25584 39148\n4345 22093\n22974 76396\n17154 27078\n9461 70562\n58130 75516\n15099 76720\n14091 40705\n46877 62278\n32712 94315\n3417 3519\n17782 82239\n15021 57381\n67100 82387\n53947 77603\n16668 38510\n33359 53526\n16158 49213\n49075 57082\n17990 39842\n20984 74963\n62436 66872\n57715 82868\n21585 23209\n7199 12273\n60361 72640\n22094 66191\n4132 64936\n63130 81857\n33102 68406\n7285 28996\n87256 91848\n38981 42938\n1264 79922\n85758 94909\n10458 89602\n39221 61121\n50683 99884\n77288 82423\n17325 99284\n44807 56001\n10400 79635\n48041 77560\n22161 37419\n26654 91399\n14728 81849\n74420 80785\n41427 41952\n70153 92521\n55050 90156\n15316 61353\n19463 96767\n1841 93514\n57113 96186\n8703 64549\n8432 57169\n16860 46879\n3431 90138\n1985 16445\n16649 39463\n70078 91692\n13842 90100\n8319 55507\n18148 41081\n16602 93975\n36335 41263\n13833 58174\n14457 73092\n71 29872\n48231 93261\n77799 78691\n10631 82219\n77662 87119\n24314 48708\n1522 59918\n37232 46148\n28509 91378\n18813 20531\n5020 96746\n32673 52616\n27024 75579\n13896 82484\n82286 95361\n38418 51195\n51364 65308\n7503 50807\n75435 83302\n22000 51045\n82702 99845\n13014 20430\n7736 87006\n19003 92564\n5911 54316\n16935 39545\n30629 75611\n19644 86723\n45736 80890\n9195 55078\n35879 44247\n15372 93117\n14724 53871\n83021 96763\n56094 77220\n12339 54049\n6413 72639\n30119 58158\n63318 66625\n9143 50517\n10367 75418\n31517 85261\n79227 98008\n3083 28555\n15751 42176\n57378 81280\n35056 68668\n4414 91834\n542 80676\n25153 95678\n77466 84323\n18839 47871\n4281 16991\n27258 49390\n30704 38293\n24115 38485\n50292 54468\n22775 93541\n46652 62052\n14258 94730\n85013 85770\n4138 51891\n7418 27278\n14034 43835\n25979 37533\n26060 74203\n57016 96622\n31479 55422\n43095 96364\n5071 30429\n61234 99633\n45803 69976\n3342 83532\n74099 99938\n87865 98672\n88429 95650\n79686 81493\n54574 81216\n8739 92105\n37867 64003\n2189 7890\n9313 95467\n46926 69512\n10282 94071\n68818 85869\n44013 45279\n27259 40118\n7708 96127\n58723 68294\n7222 87732\n49266 93567\n4037 90971\n29932 51639\n37528 92523\n40165 76141\n5420 53929\n25878 82871\n2780 64182\n19553 56829\n17772 70097\n43578 47324\n31250 49123\n29162 39930\n42895 78290\n51620 66404\n30206 70307\n52902 88983\n20179 88867\n73890 89196\n6064 39900\n35262 93761\n6751 85249\n11665 90496\n26622 53508\n3266 10728\n41241 87820\n62621 90118\n28708 32521\n93278 96717\n32637 74733\n13645 78707\n37353 70652\n30771 98838\n49054 60821\n40376 65252\n51430 92252\n1544 62589\n2458 7602\n67185 72564\n6885 71991\n67977 80956\n1149 98037\n48356 60809\n4379 34646\n91925 92733\n58501 88531\n11300 45135\n22012 47864\n28883 86818\n13833 55640\n5315 90747\n2625 51588\n6343 79047\n2957 76793\n35077 62874\n36059 92204\n91091 93231\n47446 64099\n11810 25097\n15085 28958\n58714 96506\n23525 48314\n6804 99441\n20899 85021\n467 62154\n68060 76775\n59804 77210\n57195 87689\n2778 10372\n23087 88332\n11416 71612\n49773 64104\n57487 95760\n10565 18510\n4862 34276\n15574 39908\n4179 47979\n1029 95432\n35349 76406\n17881 74058\n47466 53349\n7305 86859\n46151 49977\n60553 96365\n66952 93877\n84027 93215\n8372 82910\n38735 84339\n63975 83266\n51712 68246\n7542 17613\n9736 78935\n27437 40099\n3970 23679\n22549 53711\n12588 21682\n3275 32338\n59402 90588\n92531 93786\n46887 93470\n9441 44284\n8042 98129\n91858 92129\n7459 30783\n47925 61597\n36863 38863\n33997 66163\n51822 76277\n19439 29524\n185 80191\n75171 90466\n83526 96666\n35976 57539\n49151 78890\n36110 80678\n29230 97149\n22265 69003\n74901 85362\n55074 92330\n3942 82538\n24664 45743\n89513 92814\n63126 68943\n30249 47014\n10308 50006\n15870 99634\n14075 17208\n76438 89667\n5896 48767\n50087 88524\n32276 81427\n82702 84271\n61475 80914\n45801 58090\n14311 90504\n48957 71171\n35461 90464\n48506 84368\n7615 40691\n15863 42354\n84398 90626\n42373 54651\n52828 83134\n12342 57082\n39524 61772\n1063 4313\n39989 60857\n51690 64796\n20703 33515\n43405 75324\n18634 69840\n17004 81997\n44903 57378\n57564 92620\n74656 88801\n59709 95072\n21076 26276\n21413 84268\n34031 46381\n90269 91949\n62637 72512\n35037 94983\n12976 26538\n86551 90663\n23364 96226\n31724 95627\n14430 27579\n29758 70717\n17175 30857\n18661 86796\n795 59449\n24451 36570\n41374 54397\n48247 76186\n44844 87379\n26089 46090\n19980 49340\n4939 39586\n14736 50240\n41913 95188\n25847 84701\n19916 73089\n9633 69607\n38141 51077\n66661 96841\n40967 68055\n17259 82430\n19765 42817\n7412 98292\n25526 67887\n44299 62392\n25017 89120\n65525 92086\n11981 24202\n15746 72220\n63224 76347\n14854 85702\n44954 92750\n6387 22689\n27894 77353\n31689 66466\n41596 47758\n18498 73570\n27124 76619\n7396 65172\n53982 79761\n23734 41156\n16010 52325\n30500 88945\n56794 72049\n20615 38309\n52855 89033\n35473 70928\n7287 71265\n75423 99983\n15558 54005\n10261 73553\n45657 49887\n32071 41948\n50606 58062\n64110 86908\n57593 88938\n7914 53838\n17670 67034\n40153 55361\n15452 79106\n21980 54743\n23984 30968\n12319 53425\n53202 76252\n9786 98355\n47902 48159\n34239 96414\n26562 44217\n1801 32986\n6664 85417\n19693 88737\n5179 21102\n26115 37789\n19358 56194\n66778 80859\n2756 47836\n30336 81181\n816 78639\n31442 60916\n42474 52805\n6171 45761\n27222 47808\n6282 7333\n35338 50082\n12788 95740\n79474 82363\n60745 94367\n17977 40621\n36508 59853\n11109 22371\n25537 39082\n32209 53924\n33835 78382\n9480 46082\n14891 81940\n3441 14384\n43801 64987\n43448 92545\n22527 99764\n54825 83807\n62525 63296\n3319 18173\n34722 38211\n26176 64444\n42739 47165\n4764 11162\n18951 44939\n18249 62871\n14071 94533\n28490 65682\n466 36208\n35871 57732\n15253 44750\n21802 25911\n4341 92933\n27808 47879\n4375 42014\n83376 83735\n11618 31953\n201 63897\n30730 81961\n1177 52395\n37090 79081\n6694 15345\n448 32976\n18821 27275\n4742 14487\n26830 78679\n39056 86018\n37727 86784\n27938 46636\n36199 55063\n10534 29477\n14909 70096\n79490 99073\n166 41862\n7407 8680\n33965 84645\n35777 39633\n44039 68109\n2437 75658\n53079 76584\n42083 52805\n63457 95785\n44061 46131\n859 68438\n48495 64491\n10478 69199\n41653 49818\n73407 85362\n11005 70775\n81421 94242\n1021 18118\n18676 36728\n31446 40952\n64573 78156\n79935 84055\n10186 85898\n40625 94725\n24311 84347\n25973 48624\n43482 82119\n33901 48003\n12080 66988\n6958 84326\n18806 66447\n10559 60385\n42004 51160\n27653 54812\n4761 22584\n44939 95307\n31905 57168\n18460 58361\n16531 27450\n37570 80170\n37592 61185\n54635 61833\n2640 89068\n30928 98346\n60414 77309\n36703 61010\n69336 100000\n32712 54784\n69796 84136\n9503 42532\n29502 48080\n46428 98852\n41087 83454\n10598 92500\n31680 85259\n45068 86334\n35397 67611\n30525 67527\n296 32002\n22006 38099\n29439 36080\n3534 36869\n42608 81796\n54333 54579\n81556 95017\n3352 24508\n44047 64041\n44589 49929\n5389 28379\n56354 86315\n18718 75206\n34435 78864\n25533 53573\n37635 70162\n43068 55839\n18011 89373\n10949 76612\n50355 81690\n5059 18263\n8070 33080\n23979 82583\n33275 93491\n7498 25155\n20586 66188\n82851 84230\n38068 97190\n80948 92741\n13958 34561\n42223 90651\n24773 76048\n124 85967\n4364 56306\n74182 77695\n20631 30092\n66040 77885\n39454 93653\n43836 58701\n48227 95121\n11395 49130\n69207 74280\n15370 32213\n4716 35100\n62039 66907\n18808 55720\n12893 86313\n83149 84277\n34683 89710\n78003 91301\n58208 83325\n53111 66997\n36015 39227\n55004 64367\n3252 98476\n6130 26565\n48133 82703\n43424 44784\n28926 51706\n4492 49911\n1372 55334\n20211 24071\n21463 49745\n25226 76961\n464 50992\n7859 91814\n47232 72792\n7196 59546\n73939 83946\n15043 64995\n49077 91509\n30398 48451\n7814 19710\n31355 51996\n69436 85653\n17450 83605\n36850 42066\n25102 37605\n52414 71027\n19712 21961\n33473 40329\n3204 42117\n46648 70128\n13948 34995\n9807 34828\n60064 74218\n51231 93966\n34072 72043\n16262 54790\n87057 97017\n10183 91623\n16031 58135\n11130 20546\n18381 42240\n21448 99127\n45387 74338\n49507 92299\n16539 65015\n52410 93138\n57689 86816\n15253 22529\n13801 36674\n34012 83466\n32023 73283\n8118 89328\n37297 87543\n6474 28083\n22525 86694\n35293 51266\n49278 86870\n10208 75546\n49983 62367\n51304 99746\n38197 55657\n90513 91658\n3687 63151\n69267 73369\n29960 43693\n57521 97413\n28797 88629\n54627 78887\n55205 72937\n44296 70058\n89290 93858\n53923 79774\n33188 61974\n83380 98901\n11895 37539\n30073 38120\n5235 70737\n68731 91706\n8033 70227\n37164 48298\n27904 54053\n74521 95230\n33244 93637\n32443 48950\n10259 85565\n23261 84436\n39467 73934\n36366 55458\n54909 62761\n87350 97601\n10308 40874\n52664 93641\n48891 78224\n69057 90054\n3387 9278\n34123 39256\n7989 36142\n73301 92232\n13832 18825\n85366 93669\n31932 39248\n7858 50842\n55250 67026\n55791 65953\n52608 79586\n24881 34624\n25447 75140\n58719 98398\n7386 70911\n22586 52068\n30719 51463\n35679 37141\n48492 63814\n37701 43214\n10954 28667\n45673 83848\n5834 92489\n22578 80558\n55313 85311\n19253 38479\n10544 61092\n16144 92741\n35190 39178\n52674 78897\n70 89564\n31507 90133\n10311 54895\n70620 97902\n21577 27612\n83481 83684\n58836 85017\n53099 85262\n49429 70893\n5452 27762\n62515 93325\n13703 89672\n39571 57499\n58512 79825\n74384 74463\n24853 78645\n33831 79079\n13343 71665\n2153 38622\n9856 22734\n12480 19237\n11402 54092\n31697 52492\n94281 97221\n29690 97808\n81506 90884\n81026 85146\n67849 90002\n78240 82269\n16693 38274\n51219 79931\n3871 59987\n7109 84740\n22358 85324\n41962 85423\n54398 84588\n25031 47922\n8194 99076\n15739 86454\n10279 97396\n31276 54411\n9728 94382\n68696 92968\n11388 29813\n13590 79635\n24492 53069\n20817 43402\n8863 23834\n56870 85770\n5791 47961\n62398 99394\n6935 51860\n15841 37106\n13722 61884\n71337 71346\n4228 88335\n27831 88737\n26487 39346\n83869 85490\n3328 85931\n10685 87525\n83799 96046\n55620 95568\n57416 58238\n2440 10150\n69905 86822\n16652 79630\n32562 54472\n30664 38765\n66700 81088\n32072 45312\n34098 56471\n28513 92762\n86555 95915\n32822 73035\n60460 82317\n39719 42106\n18450 99559\n69985 81213\n7434 47441\n42427 68256\n20336 47121\n12418 50030\n35619 54709\n1926 27514\n73494 73918\n17383 82096\n48814 95126\n2418 55296\n52804 56677\n21757 37186\n27950 47996\n5125 5625\n1045 67335\n36472 47611\n85569 92915\n13610 20779\n16162 85995\n37686 70996\n76551 81615\n9442 90527\n480 84268\n24435 47143\n9429 45740\n7195 59454\n4118 95342\n11939 15703\n6054 21584\n5891 88875\n13641 60039\n14044 25853\n43748 67355\n9468 36487\n41428 85100\n521 22474\n2798 37852\n15354 98251\n71184 87843\n16439 53179\n8710 49055\n59876 80687\n55055 56106\n38696 38766\n50538 67980\n6836 62487\n28825 47971\n26523 52877\n96360 99933\n35134 80840\n155 59090\n23579 47362\n32273 70410\n15016 24919\n15257 98129\n24911 58232\n57810 61290\n2884 27631\n6000 29301\n68033 95887\n42215 54377\n33691 94987\n25375 30149\n62421 88394\n16508 82583\n29023 68961\n2995 65733\n49382 85949\n25 55766\n72109 81583\n13378 23214\n46774 70865\n50327 69545\n18311 85942\n26724 64893\n21273 89080\n39292 78979\n31536 50091\n53141 63416\n4762 20197\n6689 52057\n2930 49862\n71396 98736\n72325 96174\n73184 96082\n61725 73445\n18721 21985\n49718 82629\n48393 97739\n46191 68259\n25278 32328\n22448 98203\n91738 98633\n61601 78091\n20686 62390\n42717 81104\n4198 77710\n37327 64705\n48194 74077\n30997 74027\n54400 58080\n50285 62815\n19177 74955\n46264 55707\n5215 76518\n73354 84616\n878 83024\n31241 36241\n52216 81330\n17080 31342\n16000 50492\n54661 56995\n29660 41005\n36609 90732\n26301 66432\n86986 98193\n56666 57586\n63411 76864\n68657 99509\n18507 93024\n23963 59241\n37145 58227\n33729 71820\n33300 46741\n3814 71399\n73301 78039\n21346 78918\n4873 88515\n28790 43821\n62883 87028\n85635 98171\n47996 68024\n74541 75581\n46886 65050\n37473 52818\n37090 79544\n39236 54096\n49111 77937\n58596 67957\n6829 53755\n17656 36276\n63353 91343\n80818 90263\n75275 78895\n48055 56410\n7647 67336\n15597 32805\n46171 59481\n23423 86766\n10281 19125\n1221 45900\n95105 97876\n84624 85349\n3924 69065\n53024 82181\n29007 93106\n4960 83863\n24857 50550\n99472 99911\n657 39787\n2870 61019\n21085 98052\n3847 72703\n16238 91321\n21711 84986\n37671 59651\n36767 75376\n30929 44961\n16602 78859\n28041 92070\n6953 44024\n22595 73328\n34609 49865\n6300 78203\n48454 65942\n68335 78774\n9997 70146\n20682 42376\n63604 66649\n66902 89538\n18764 20554\n3243 93090\n11505 71024\n35998 80776\n80858 98418\n45180 57338\n19507 76066\n55281 81714\n34309 58962\n4219 17232\n35169 84128\n38319 54669\n9057 18057\n3829 85141\n3344 20615\n1781 79579\n69646 80282\n28851 86399\n24857 60086\n55354 74067\n34969 36890\n37827 40343\n52625 96699\n34787 91403\n28670 79948\n70144 82835\n21011 94511\n5219 49099\n26147 50773\n12906 63602\n23446 23945\n24565 80976\n25752 73435\n41979 69567\n29479 86457\n70955 96349\n7041 70426\n4789 99025\n61726 87412\n22145 35474\n23266 35449\n48300 79209\n9317 19198\n22520 47145\n32863 82721\n42370 94475\n74046 96129\n64617 97823\n4230 33038\n18338 18912\n10383 43604\n36168 49995\n17076 29152\n68895 77502\n11715 73442\n41119 41957\n56975 65405\n91263 99876\n55969 59342\n85951 87491\n43187 96741\n41830 74381\n6746 71746\n66003 92392\n73750 85191\n19467 75509\n56691 97331\n33106 87820\n16952 45510\n20655 27454\n16938 67254\n4653 5953\n10673 62317\n25806 34345\n51521 88006\n72883 90287\n5447 49304\n1558 6653\n17132 21251\n24695 86678\n11980 26322\n31696 52612\n4763 48381\n90790 92273\n41517 90092\n81727 85057\n28974 68563\n27235 66906\n19912 43725\n13677 97340\n19445 40920\n23654 57135\n80242 83823\n24924 56131\n72222 76268\n65158 67974\n6920 77766\n9041 38397\n15740 62771\n50411 83259\n21052 59068\n49622 60234\n8746 92250\n7308 53781\n11863 18137\n10944 78185\n5808 41143\n16680 96884\n2161 47040\n16558 74627\n33868 70559\n9780 78664\n89863 92079\n22559 31892\n10536 73382\n25965 75771\n61271 64984\n24401 88977\n56138 66443\n12952 46220\n33620 43668\n36723 95023\n10507 93247\n28621 57939\n24650 30996\n50356 62810\n35203 95852\n17409 72757\n13340 54987\n32772 77157\n12946 39686\n46513 79950\n25128 59042\n59715 88996\n48411 94557\n19884 59325\n29719 53005\n47488 95983\n67438 77568\n74432 85164\n4750 30678\n27722 52851\n41195 87660\n84184 96571\n33664 69897\n17440 31819\n41341 43012\n71095 79555\n20727 80503\n19096 74344\n55876 72814\n9698 71832\n21490 77404\n31916 42505\n14988 84089\n42569 77995\n1113 72658\n1 82118\n24855 29360\n18952 48382\n38657 84200\n21587 97441\n51861 55028\n85656 86438\n54641 99109\n86210 96084\n12962 94018\n11035 98774\n5564 32868\n32548 86149\n55214 92529\n8986 9501\n49334 56089\n25782 57454\n58441 91572\n28986 99036\n64587 93033\n47658 91391\n6248 47324\n1301 25865\n24232 85702\n63373 78321\n27446 41662\n55796 68122\n37496 49529\n26205 39051\n47886 75538\n93258 95400\n27772 84713\n23629 82572\n63023 63711\n57257 89813\n24023 92929\n44888 88109\n16624 29536\n8116 90216\n4118 60166\n26287 92409\n94822 97887\n55020 93714\n46401 94943\n15172 94221\n27343 82438\n4776 49448\n23244 80812\n58177 72461\n31638 69290\n54685 90419\n25268 27098\n41338 90676\n28653 72316\n4960 36698\n11186 65667\n76224 88382\n50248 81460\n16523 92637\n73820 80088\n28041 51269\n26739 84570\n33617 94601\n3002 20732\n10142 74971\n29925 77860\n323 4420\n33958 88457\n37392 63679\n49016 84106\n16984 52230\n3659 49880\n1339 37148\n19252 62976\n1231 5563\n13374 65942\n31330 77647\n879 72125\n27535 45091\n22184 90904\n21711 87027\n9773 86389\n6731 91168\n55480 58748\n45582 60853\n14151 48752\n23189 81691\n14421 71632\n20202 80209\n38935 48099\n70688 92895\n31535 71904\n781 5997\n12206 32726\n53786 74583\n39 78370\n2245 99562\n89270 93107\n56058 62531\n65824 83354\n999 86752\n57269 67762\n12525 22531\n24905 64850\n6832 40038\n67011 92714\n16719 53877\n53961 74487\n26697 64505\n64307 82022\n2868 43496\n10460 82580\n35397 97537\n22475 80080\n39649 41698\n26667 89814\n19878 39157\n28323 77869\n34733 35898\n21377 64508\n11029 32699\n48214 65104\n7029 98803\n56220 94858\n44579 67462\n31208 39032\n72223 95669\n1608 83301\n48819 74842\n21783 38582\n53065 81939\n47095 99470\n9545 44256\n41440 84312\n58144 77391\n72049 89703\n1531 57514\n2648 78857\n18429 88270\n50899 60389\n90404 91216\n1763 22614\n10223 46981\n5162 56303\n60711 64012\n39827 43222\n35122 37995\n17077 99498\n31355 34845\n80311 91416\n27074 89302\n6829 13372\n2747 63632\n9420 48084\n1252 98655\n14344 96599\n31040 62119\n17743 45996\n22541 40681\n3249 19235\n81136 81372\n32527 55053\n7957 67246\n47944 84778\n69266 97307\n59203 85591\n49990 68334\n50940 91657\n23481 30970\n40189 41177\n37967 94403\n54561 78217\n69542 96842\n5029 29239\n20884 93990\n18685 93801\n8695 58152\n7521 22997\n23207 56031\n54628 87232\n52183 60981\n6210 77402\n26048 41357\n9226 92185\n8854 38613\n51714 72224\n82215 93699\n69530 89543\n52507 61993\n9067 66171\n373 61186\n9472 58179\n42238 68200\n62802 75917\n30662 60739\n3518 92747\n3411 65785\n17088 96820\n20702 63675\n7722 39705\n8598 9968\n4375 87880\n14538 37794\n29935 73045\n71964 84010\n48283 68654\n36472 42769\n67287 73088\n37537 60839\n32858 68527\n39005 82694\n31008 58329\n25186 33183\n6228 73263\n46703 97950\n39754 97304\n33039 87567\n29983 43086\n91982 99138\n7028 61405\n37370 80780\n11502 88039\n14498 60546\n16334 34782\n45661 73321\n39619 56282\n79960 87982\n15683 36605\n32749 90875\n66931 95514\n33562 52567\n15113 54824\n2051 88225\n36760 67599\n48655 90145\n10510 33323\n64904 87937\n3175 34252\n25070 92709\n78581 79613\n8993 52136\n9274 64143\n76478 91147\n58124 93031\n77298 90469\n14803 24487\n97174 98906\n40660 79673\n51335 62901\n17740 84153\n18524 70995\n16204 21718\n3599 41071\n10178 89520\n53543 82415\n27040 29569\n50752 76659\n42216 42223\n18844 97172\n57688 68897\n1474 58266\n1035 88674\n88135 99139\n56844 82177\n27761 71399\n10455 72237\n68670 81383\n64446 84158\n46370 48327\n76870 88212\n2253 51154\n2615 51014\n8345 83863\n63101 71692\n36884 97033\n18243 75599\n22988 65152\n13308 77405\n54894 67948\n13669 18398\n36693 73639\n23111 96447\n32904 74016\n22712 35138\n50195 62264\n51453 90664\n2775 78000\n65973 69365\n82759 90344\n25497 67845\n83222 84978\n8894 66417\n48478 51969\n14927 67777\n20982 96345\n66755 67939\n51802 85887\n5390 66514\n69873 72360\n47100 51887\n4682 84763\n72545 86014\n23089 72377\n84009 99401\n23832 83319\n58273 99669\n59821 98940\n1636 71595\n6518 99396\n21407 98114\n5741 64704\n36866 96578\n13321 75764\n15432 78271\n69784 92690\n41858 79970\n48857 62828\n81774 83676\n13819 58437\n23489 98076\n10675 43303\n75765 82855\n7170 48391\n16454 38034\n42444 65071\n38024 60274\n7463 49315\n1704 69026\n36270 43527\n19792 57153\n28170 93688\n51347 77256\n27222 36005\n17669 63974\n22775 82311\n60494 71749\n13429 30594\n22123 65306\n35691 43759\n6904 35823\n70884 97049\n17189 31800\n16960 52105\n76475 82990\n9450 97801\n34340 59398\n9275 48794\n58577 66695\n76064 96547\n62026 74257\n9017 82434\n16920 61631\n4027 55295\n41667 76172\n22050 58134\n24059 72564\n31011 97264\n45321 60595\n30927 91055\n10013 69665\n10007 61375\n16811 43714\n10863 64019\n36227 85037\n34066 50204\n48238 65785\n56216 89476\n91349 98751\n21510 51798\n11420 84026\n22778 59191\n46843 49011\n70079 74801\n6071 6802\n11213 35217\n10705 11505\n21887 97057\n8952 94774\n63187 67731\n73336 73518\n65456 67456\n9189 55272\n16939 52396\n5127 39328\n11752 37814\n10009 10115\n2088 52903\n17616 65809\n2862 97328\n724 39668\n24166 48408\n21487 75606\n7003 90815\n72983 90080\n18617 89035\n48332 81691\n48517 86505\n15650 75756\n45423 72066\n33408 58166\n14544 99989\n45817 81102\n24536 98277\n64106 82456\n24223 93746\n33286 55199\n12424 69582\n73483 95818\n17736 42430\n22188 68436\n52941 96005\n27516 63352\n1011 77172\n734 7934\n7915 10810\n37485 49517\n59707 96988\n53531 88885\n2270 97465\n25919 33132\n7505 32076\n21306 59465\n48937 54449\n12428 27328\n25123 43546\n21595 38881\n72623 86587\n63809 85009\n32779 74256\n39217 89764\n26271 42380\n14835 39772\n34208 83848\n6941 12584\n59046 95436\n5741 92611\n21223 49100\n26201 26216\n10535 67322\n19529 72914\n15406 60143\n1274 5459\n50712 96391\n73917 96879\n9743 38044\n70909 74964\n72288 76717\n1615 65344\n53418 71771\n28410 67202\n86763 89868\n1383 58554\n16177 84156\n11647 81409\n1029 39061\n41434 57259\n60290 94578\n73822 99604\n59845 94233\n22269 84511\n20141 50263\n16182 90722\n30185 59438\n34944 48840\n15735 43731\n65398 94063\n86763 95983\n16510 30754\n55372 76775\n56948 69543\n76537 84993\n77318 89746\n20279 90480\n59531 97228\n371 49408\n13250 64626\n41823 48145\n15764 89420\n33416 88257\n7339 75085\n63956 90523\n51805 61823\n22509 84237\n40906 64657\n19869 67095\n60792 65696\n27002 84939\n81873 96486\n803 8784\n28972 63191\n74861 76866\n3848 52870\n69506 90012\n1208 16217\n49236 64494\n17817 86341\n55671 85826\n18041 23375\n65749 84409\n24351 77898\n30753 72970\n18276 31938\n8808 46692\n24356 63698\n42661 84346\n52447 94596\n15671 92250\n20797 45335\n27371 70613\n78160 81708\n25277 79358\n45975 58186\n80410 83428\n7802 47000\n45005 68512\n44939 66091\n9077 41380\n37336 53701\n5546 66318\n2728 30632\n2109 86339\n26418 28255\n16981 94161\n9791 42742\n24481 99507\n20584 79093\n1571 43787\n66026 96092\n38305 63649\n17959 39648\n43237 64595\n91140 95848\n13872 61836\n1263 27907\n13188 21004\n50679 70262\n5888 63588\n62506 64559\n37448 76871\n1667 73381\n66794 73234\n17412 94731\n22774 58193\n28739 93463\n58892 70764\n34891 79849\n15785 99540\n3189 67221\n703 46289\n30254 74794\n4994 67832\n74834 90532\n31682 52211\n4392 58101\n26184 73068\n42706 69509\n3984 55893\n80944 95621\n38874 65411\n22628 61414\n48122 87954\n6190 78781\n13461 62002\n4491 87137\n37137 96651\n31262 61967\n71167 73118\n35670 62560\n17033 48511\n14745 70893\n14973 61897\n18399 72151\n47208 54405\n14466 16483\n67647 98450\n62128 88614\n90666 91589\n13914 81978\n33785 45828\n30714 98547\n4437 5500\n94765 96219\n22430 68262\n30069 97906\n16766 24345\n52463 85029\n75793 97409\n48468 76129\n14327 16421\n15981 42372\n61246 98683\n64830 75770\n8445 33368\n73897 95686\n6478 83099\n30944 31185\n10264 36305\n504 95253\n33792 59258\n19650 93594\n83913 96047\n53319 66188\n23919 40455\n60948 71068\n89773 92778\n19735 21842\n76129 84949\n42744 85530\n6191 89491\n31971 46815\n47159 56458\n20706 28908\n2838 3734\n23520 72180\n38611 80647\n5111 48372\n37274 64003\n7207 96969\n14338 15196\n73817 85645\n15612 67408\n11287 73744\n95600 96040\n28110 84690\n3193 78901\n51815 96605\n10262 48595\n46785 90284\n11082 62686\n21422 82150\n20760 29389\n67500 99874\n56671 99540\n21051 70422\n34158 99875\n37613 73286\n28312 53707\n75001 86423\n23333 43051\n17531 96696\n77455 86467\n24951 64605\n11149 94016\n76521 83235\n15804 75851\n67550 88106\n72745 91828\n51695 84300\n10478 53891\n49010 51332\n39833 89295\n19455 82816\n4598 58382\n40251 66628\n30909 53824\n87895 90997\n18445 51706\n1425 90641\n44524 94823\n13161 84787\n17916 39116\n56704 84615\n30236 65316\n25980 41880\n5094 81611\n3879 7652\n2348 50042\n1843 40316\n32208 55901\n6479 64060\n58160 76542\n4338 92026\n7093 85371\n75268 94664\n90190 92738\n26427 89269\n4846 88204\n14659 47234\n28155 86747\n64263 82258\n78600 78973\n24906 27804\n84148 94539\n20334 78668\n6642 97017\n58640 94862\n5082 73443\n44008 93338\n51952 75328\n59376 84164\n30574 45832\n71351 80161\n72421 95608\n17693 53019\n53934 71314\n71092 76326\n2437 66303\n8687 67472\n4259 35141\n57989 84160\n29055 42131\n35031 47552\n53977 62721\n26035 39485\n51714 82076\n27626 75927\n82106 82515\n13255 90047\n1898 21843\n83897 90140\n43816 43935\n3432 56282\n57696 91192\n1239 22701\n44576 93283\n8660 39809\n48245 95902\n44161 46154\n2732 53281\n54724 74326\n82695 93589\n18205 30100\n36127 67439\n22653 56013\n11397 68617\n29081 37947\n60301 81521\n75218 93769\n42092 59367\n9627 13201\n24758 77482\n51119 99914\n18512 76037\n14033 63881\n38927 46331\n45745 88567\n15381 89128\n161 3188\n55587 61312\n56616 58388\n69059 81249\n24002 81976\n32771 69463\n50236 62021\n2776 80341\n6812 53088\n57116 72375\n33376 43915\n44823 70270\n38859 43420\n24300 45610\n11608 84010\n23960 37898\n31456 90492\n2263 57936\n17334 98498\n58939 84633\n13670 51434\n66848 75645\n62901 91408\n2585 52746\n12372 19050\n43063 62588\n53940 86340\n38600 99558\n21925 97989\n22387 96148\n49401 85892\n74937 84287\n8998 53740\n2338 58943\n48591 99033\n36698 50720\n8318 50162\n7375 93291\n9558 43843\n84040 86636\n73996 91863\n11022 71967\n34456 54413\n67442 68526\n23439 70548\n32173 54227\n54583 73873\n45061 78543\n48239 48264\n8066 41925\n26040 88953\n25626 77824\n59360 98251\n40490 88443\n47975 89635\n68288 84922\n6233 26448\n10778 72271\n26615 35536\n76463 95586\n61336 81041\n8211 51990\n8314 75522\n77779 92383\n21205 87401\n36856 60954\n30012 68580\n57771 86259\n76093 80775\n71641 73735\n65040 99519\n28732 31400\n17525 38335\n31351 78260\n9817 73434\n24551 33109\n42186 87861\n43990 57148\n17152 79190\n31037 94157\n21460 62690\n52792 87051\n812 70112\n32996 62131\n16822 94017\n29859 43625\n46263 76591\n38691 70240\n75535 92553\n5864 7148\n16409 44281\n42517 45208\n91802 91806\n70854 80117\n19639 39091\n41855 86455\n479 81460\n12809 28687\n3799 11940\n294 37683\n60564 73979\n63127 71623\n62017 65511\n33587 53795\n32589 94963\n19711 29231\n62241 70526\n4045 49548\n19122 25782\n56154 78497\n34872 87491\n49016 50893\n74466 76179\n3143 59137\n47518 94859\n22257 73163\n10413 98941\n27818 88210\n15665 96746\n45782 77068\n30675 37683\n22575 36699\n72841 88385\n11909 87764\n10875 72196\n82031 98171\n6294 41822\n44410 75698\n61184 71870\n15681 81034\n46333 65114\n20650 83145\n1034 83446\n4348 98910\n18433 76393\n46797 62909\n28724 60124\n19675 67908\n45557 97260\n51441 94291\n16370 40199\n13832 33835\n30361 82040\n38062 83292\n20133 39804\n29441 36689\n84130 84416\n24157 52535\n15463 25239\n47390 82440\n63884 72010\n11154 26587\n40865 50967\n5189 26233\n21872 89026\n52413 97738\n11943 13175\n14673 88677\n4058 66640\n444 90613\n40093 92136\n30880 41275\n35203 73489\n22456 72113\n38804 82639\n16726 93504\n53802 80583\n15073 40728\n3631 72996\n8113 67224\n320 16128\n14841 44639\n20932 89361\n12688 71114\n1862 11052\n30676 31604\n29932 89671\n22831 94718\n48310 71914\n24545 65358\n11027 23346\n64494 82603\n28645 75742\n8393 37942\n32009 80039\n78038 94461\n3738 31182\n43461 65573\n24064 58053\n9805 15634\n42254 96051\n70234 82929\n17323 59869\n61686 78161\n46779 71455\n4892 90428\n46510 50413\n66766 96714\n26824 83840\n8847 18624\n31184 45781\n16180 52802\n23318 76426\n44225 70757\n53698 53961\n68403 98076\n25132 31928\n32128 53637\n220 15625\n73223 98417\n19711 42527\n3139 42100\n45409 74006\n12227 82764\n248 37462\n6020 36217\n73111 83717\n6761 69592\n46238 55448\n1166 16698\n66985 90182\n20658 35826\n75145 79697\n51132 97039\n1339 59186\n50365 52411\n64244 71001\n73772 95018\n10628 23141\n8735 96520\n16390 83202\n54259 98071\n86622 98068\n46909 66073\n62418 97647\n54402 65593\n35397 91907\n66133 86789\n27576 49734\n24820 24961\n17198 80666\n28087 95256\n472 90367\n51496 82926\n10611 47776\n16867 96788\n17292 45037\n69456 80796\n7072 49955\n15504 29557\n4112 39743\n247 63385\n33938 51249\n3304 9919\n36263 66991\n9069 11712\n21444 68654\n1424 22057\n7125 53012\n39502 48888\n24869 52120\n12820 82974\n18935 96465\n71454 77045\n5515 81191\n36536 99188\n36743 42106\n17903 78980\n39006 62831\n28418 38773\n12798 89101\n922 19008\n80730 92720\n93071 99577\n62469 97453\n23016 91797\n26155 41447\n41934 96149\n19380 38568\n39803 61634\n38794 44541\n35797 89939\n32378 97178\n29373 54943\n12190 14769\n59347 81207\n72321 73238\n60634 61831\n7316 58733\n29066 87048\n40720 67874\n43554 54964\n22994 99175\n7019 26134\n46308 72399\n5383 89599\n26197 65986\n14420 96941\n77188 84293\n22514 33507\n18179 54407\n24454 96273\n31780 92297\n8863 30097\n8726 44415\n9493 55630\n25277 35819\n34637 88958\n21437 25648\n41622 99457\n61020 82506\n5725 44278\n23587 35749\n91227 95965\n4798 55638\n42528 48909\n63602 82434\n47561 98036\n52068 95906\n4079 73219\n45077 88692\n19751 37330\n4400 52057\n48163 98789\n64782 68655\n46358 98035\n24414 41568\n17775 21396\n90341 94138\n23933 86048\n17661 58843\n59753 62676\n37062 72198\n37219 58523\n61017 72817\n57288 59074\n41644 44224\n43264 68042\n44621 83301\n62979 82547\n21862 95970\n33566 73429\n30016 68230\n21524 72379\n1896 80336\n52491 55141\n49814 51542\n29802 86349\n71140 99667\n7955 26476\n17597 78353\n10102 46143\n51435 98113\n89093 99216\n83044 95937\n25933 55227\n43556 58672\n40815 56808\n48669 79181\n20708 21352\n43246 99557\n13345 32886\n68919 89407\n60577 63526\n37904 40892\n27191 69790\n11880 21640\n69971 80396\n11404 59677\n26963 72131\n51947 61973\n11090 65970\n12241 97275\n31872 36307\n54384 57188\n2484 36600\n21785 69522\n41983 99457\n17374 42152\n45805 84822\n3591 47652\n97845 99104\n7366 97327\n7389 85098\n24921 81044\n7226 59609\n41761 83066\n70556 98299\n18032 95588\n16672 48340\n43212 86489\n29974 60993\n65833 99789\n79214 91268\n1078 49348\n55809 98009\n78194 82812\n56378 88130\n6700 18937\n28728 87884\n75357 93473\n84977 91533\n31762 86309\n53176 71283\n50363 68314\n61745 79330\n32614 79136\n28063 62856\n17153 54141\n57482 58418\n3494 49515\n43902 64008\n9332 21810\n4172 64316\n24197 29665\n83900 94213\n28565 79038\n42912 89016\n20672 79334\n17761 38493\n34662 69258\n49611 69476\n26096 47704\n35220 91764\n11921 49292\n57600 97762\n64181 82765\n8294 95797\n55574 94956\n105 30703\n18255 57898\n19933 87989\n5033 84855\n59986 63311\n51889 72904\n2546 61642\n59314 62002\n11879 70039\n38533 74890\n29930 53586\n52936 55882\n62973 73112\n17090 39584\n27161 73827\n65914 90695\n8092 95783\n78130 79100\n1012 95030\n57482 58096\n59459 91799\n7090 44594\n6572 88729\n61301 67914\n27321 42483\n15368 92057\n59093 77433\n20752 64376\n1071 37849\n20769 57184\n34692 63882\n23898 71331\n10708 98666\n3570 5487\n14474 47172\n16545 91169\n19150 84475\n20086 43102\n48772 86315\n45341 69945\n23449 42086\n17807 53474\n44683 86119\n405 76127\n2722 73341\n26958 39002\n8346 73205\n63231 91415\n61328 68612\n53752 57833\n75592 86170\n35262 88630\n5404 37808\n18351 80451\n3716 17081\n38251 76963\n31371 92285\n46003 96852\n57505 57571\n3491 70683\n40242 43058\n14857 58304\n16332 17699\n25250 86123\n59649 93046\n16744 81619\n28719 29195\n66635 67166\n67770 69660\n2100 20082\n14687 33350\n29791 53174\n6376 45695\n63122 68967\n63931 91667\n61364 68518\n55160 89622\n64911 71457\n31336 37284\n24803 80337\n81862 83215\n51833 73354\n30666 64372\n81117 85798\n55497 91563\n4348 59706\n10929 69033\n17911 88449\n85880 86828\n5247 38291\n62280 94446\n47908 86598\n75388 87040\n28183 37187\n32561 68320\n7733 44400\n14704 44233\n67155 97088\n30610 41831\n33049 74000\n42806 89862\n37464 42159\n2402 34417\n59740 65582\n23776 36360\n55143 70580\n21358 59420\n90786 96416\n13279 55698\n28364 75210\n10661 49822\n15113 26933\n99685 99746\n22699 79878\n79628 80973\n27606 38031\n21795 45502\n28746 90817\n62524 68546\n49038 49199\n39841 64696\n3010 54416\n28855 31433\n9056 74638\n34838 97281\n13656 41672\n23246 38509\n49785 92124\n30293 54770\n42970 71953\n8169 69504\n13867 66553\n30448 57163\n346 78171\n55955 80727\n22544 89933\n35006 58118\n26216 52821\n68746 88997\n57568 80368\n13208 61958\n66658 68936\n29336 62332\n41353 87957\n12551 55835\n12009 99094\n32736 55646\n69847 79800\n85180 87678\n4725 98472\n38102 56853\n28078 48957\n48240 90929\n80325 91174\n39443 80725\n41456 97055\n23126 85161\n30663 48224\n24193 30951\n17371 87925\n36778 67579\n20017 84571\n62050 76981\n25861 55627\n89873 96175\n89564 98210\n77636 77737\n84446 98082\n43665 74246\n7132 93309\n4307 89683\n17179 65192\n15842 58840\n3806 54946\n26253 44465\n12899 92064\n43340 56078\n13041 63602\n32098 93609\n6073 59442\n22649 41523\n70628 77791\n16013 65972\n13029 95090\n3299 50748\n6123 37604\n8288 68853\n55915 62863\n27681 90432\n70884 74635\n22577 28723\n37396 44317\n28 79832\n71000 91772\n31866 48740\n19878 33211\n26227 73784\n90900 93451\n25396 57288\n68534 75237\n30855 67810\n25983 37300\n26592 31151\n34979 36732\n521 74088\n27144 81317\n17832 97476\n19773 22184\n20980 97994\n9616 74998\n18694 46877\n74321 95234\n11736 17166\n7481 21920\n42793 57640\n89431 95571\n47245 98087\n37409 47629\n35336 95118\n17226 67965\n74753 81712\n37796 93159\n974 8391\n20635 70891\n18067 37870\n14665 73581\n8898 95279\n77917 94486\n3130 78231\n11787 89284\n7529 71177\n43551 63824\n39461 74141\n25311 50921\n32524 74517\n21608 86893\n65801 73942\n93293 99086\n66245 81852\n32885 55546\n31943 89874\n1047 50758\n31754 98850\n1676 69569\n57574 67703\n47767 86285\n18737 84513\n9434 92230\n60642 64233\n15443 49505\n20873 51237\n13285 50541\n53496 74006\n675 89447\n46451 98085\n21350 59457\n48037 95953\n15920 52367\n6212 53507\n43118 74728\n24058 92085\n12202 92124\n11335 55904\n86436 99401\n22224 23441\n62895 70446\n2071 34933\n10844 49685\n15804 63840\n8809 89969\n3462 14966\n5379 69768\n19968 46830\n37862 95820\n50594 61897\n42819 81804\n38647 58872\n12063 92579\n41314 58927\n30032 94660\n13663 95861\n53669 69097\n62891 82386\n4813 54572\n74998 75035\n27806 79093\n8920 54532\n12948 67240\n9520 77341\n85281 90127\n8964 9082\n6984 13659\n79060 93378\n72565 90017\n28034 99310\n12303 37334\n22512 61862\n35678 86398\n74448 95659\n48679 58603\n25491 89669\n66219 93491\n1717 25483\n49347 69130\n5956 53656\n47811 88018\n84225 93863\n22311 27368\n49257 75844\n10736 54235\n26998 90195\n26231 75444\n39842 55438\n31643 53431\n4139 61736\n8819 70111\n30222 84852\n22875 99341\n18495 65782\n14872 96597\n25886 30222\n5573 35938\n23072 34800\n33833 64584\n12579 70961\n2587 28610\n33183 51905\n42677 74117\n29673 80450\n66806 78327\n54021 79862\n33579 95164\n29924 97034\n60489 87869\n29839 83249\n30581 73605\n10455 32447\n12723 38321\n45518 93197\n10366 95050\n59857 81911\n38965 84214\n60124 62465\n55617 68906\n68380 94419\n10828 56508\n127 37596\n14359 96471\n19933 92453\n56969 75581\n72440 99287\n65696 90067\n3614 7143\n57473 98792\n20323 38405\n27382 49697\n9010 47517\n17824 37947\n30829 33331\n10079 58615\n4172 91915\n3173 38831\n2814 60991\n29970 47514\n7617 25130\n54325 93198\n15918 91630\n14180 58805\n30390 82326\n49704 94198\n4965 67447\n49668 69167\n58560 58701\n4449 62546\n14549 45013\n24409 91821\n41902 73516\n150 16292\n90521 92038\n8703 41824\n54246 75858\n61893 69565\n57699 83406\n31927 38911\n12942 71624\n61732 62715\n2374 37230\n90211 93377\n29852 51783\n19995 74674\n64149 88404\n64057 64407\n17853 84385\n8491 16216\n12840 32077\n11256 35825\n21321 56726\n22215 57393\n74968 75901\n38658 94125\n8600 83331\n47421 54242\n21750 61786\n59107 83750\n23211 23250\n37289 96220\n11880 39903\n34546 89609\n25497 95089\n58777 82317\n24132 51681\n13484 78133\n33114 49944\n6006 65712\n6025 75348\n68633 84872\n6979 85265\n4327 71115\n67716 93620\n8579 47786\n25733 58830\n24934 25549\n67312 90419\n34184 47075\n39901 44165\n27080 37983\n26170 77597\n470 90874\n38582 70766\n25537 35584\n37697 40873\n52160 73465\n63581 98146\n10467 60112\n23188 36455\n7977 57528\n47586 61417\n40692 82263\n17705 40835\n11369 79509\n4134 36613\n3122 57827\n22385 73594\n25347 98496\n5255 47766\n28392 80205\n62139 83592\n556 26451\n68440 82081\n20591 58594\n34659 87519\n48869 53191\n40 88809\n12079 51211\n20887 92924\n17711 73617\n75194 85815\n12681 42352\n50138 85298\n31069 66657\n2671 75866\n42587 68787\n95201 97725\n59853 77713\n5367 15208\n42020 79197\n21797 41212\n27014 44234\n89738 95406\n54782 81001\n63642 77884\n36211 98963\n15176 39263\n25705 52586\n4014 53240\n2187 78999\n33214 48290\n29919 68798\n67092 70292\n41687 92100\n54911 93863\n20144 25367\n35908 87511\n17853 26855\n21217 75057\n39932 87930\n21169 53512\n36093 38798\n20377 98657\n16362 70922\n33154 93803\n41816 76192\n16808 80667\n62001 83138\n5258 81392\n48860 72996\n17158 90468\n27331 41381\n27427 46026\n40410 95990\n6305 87459\n8582 54665\n3856 43466\n13113 89919\n30784 76530\n93634 95824\n6141 84235\n48056 71567\n33462 55185\n72756 85574\n7536 23453\n83923 96468\n34643 69409\n30482 59012\n23347 39362\n50513 51158\n63449 86605\n8536 19434\n21082 51394\n54525 96361\n11635 46465\n41818 99636\n39015 79708\n26503 32448\n34003 86409\n65782 78915\n44888 51151\n56811 65297\n58958 70621\n58969 86667\n36455 89012\n17200 84419\n7769 34551\n8609 59678\n52224 87510\n39429 62218\n33202 62779\n68005 82043\n78116 86724\n32770 83693\n97198 98448\n69569 95036\n29027 75897\n38438 93901\n26173 55894\n46856 92775\n48247 71829\n42696 44503\n7665 75354\n39168 64905\n43044 63203\n55519 85643\n29068 38826\n19464 58955\n9003 72556\n35918 92343\n6033 48763\n27512 94879\n4409 89562\n77380 96499\n64661 93810\n57957 61584\n18476 47963\n23993 26459\n48266 87194\n26444 64774\n25434 86279\n26433 55307\n8706 97273\n9076 81237\n25381 48646\n75752 80671\n44972 51669\n31874 61421\n35184 53600\n20322 74005\n30611 60898\n50303 67076\n2734 58183\n21609 37295\n68403 82727\n22932 46283\n7276 90796\n26894 72754\n26514 33317\n25893 40745\n17765 54649\n47963 84066\n63811 74961\n7430 16232\n31523 86599\n17386 37609\n29117 87918\n73246 73858\n56913 82579\n4169 40929\n40607 82774\n69024 96212\n12688 64218\n76393 81990\n75363 76192\n16241 92475\n20344 72789\n3325 23067\n32129 90897\n7714 63795\n39103 98598\n14198 49924\n59672 76320\n60478 71386\n42790 86312\n26146 91179\n31195 51206\n10421 36099\n3035 43608\n59698 96342\n29620 91733\n82277 93624\n66558 82360\n79959 82075\n30913 82118\n68232 70319\n3742 42686\n20608 23799\n38847 39351\n62443 80506\n17544 83150\n6540 93312\n62299 85884\n39589 67168\n77418 93453\n75856 87140\n16296 82005\n40144 92832\n59305 73119\n52685 52818\n55589 85112\n20985 75593\n4411 62125\n21330 93004\n81311 87153\n5231 75920\n17634 20436\n13583 18301\n25985 44422\n12352 57287\n18104 19598\n70810 80981\n34638 96715\n26334 96036\n49863 67309\n28875 31538\n65642 67428\n5971 98421\n11353 45464\n24724 51713\n54050 89294\n26193 64886\n78348 94265\n45240 78606\n38546 64638\n62925 83899\n92514 92547\n43038 60322\n14189 44427\n8564 40106\n33319 44747\n50414 73940\n36474 79954\n51006 96284\n5189 81852\n23329 56157\n26083 54373\n25310 80160\n21170 56215\n30562 98644\n70465 85670\n19582 81791\n35731 91594\n49894 87644\n11689 41448\n59237 91081\n29949 64984\n77584 90691\n9188 87310\n48645 67129\n43161 62930\n54794 60436\n46269 67639\n828 11146\n53713 60985\n17855 25279\n71932 98968\n26650 68189\n3431 48372\n15405 48555\n26708 59480\n35850 61854\n25302 29641\n33230 44630\n6895 29342\n63487 88704\n2274 7758\n36343 53681\n39561 75975\n32911 50597\n42083 84354\n76488 95331\n48267 67890\n20964 76154\n43051 63315\n65216 86174\n64235 69589\n39899 47943\n37960 56212\n85725 93506\n12928 65711\n49623 97890\n18299 20102\n6959 7752\n17739 41034\n12757 52861\n14554 26730\n16394 62257\n32160 35804\n14566 79884\n73039 76842\n3781 28582\n17720 19970\n52448 67989\n1768 33270\n26684 90388\n22949 26363\n1025 98553\n85155 89454\n2253 45963\n486 49562\n13579 81550\n96246 98858\n1361 74826\n53470 82265\n90651 93333\n6617 85572\n47803 95344\n71764 85273\n72840 74233\n13024 78426\n30251 86993\n1063 8399\n41639 76564\n23766 31571\n11206 27649\n26759 46567\n2131 14417\n13917 24880\n10056 97275\n11806 21501\n56240 98690\n54861 78091\n27080 38264\n35333 45885\n35784 47763\n9681 35850\n7561 20268\n38128 93195\n33501 87024\n66891 73296\n24201 57705\n28313 87638\n60205 84021\n27442 55896\n48614 56597\n36 60390\n42758 44877\n20793 89367\n15002 57450\n50354 67038\n36214 59110\n34487 78834\n21925 64066\n36320 51411\n72633 93771\n85244 98400\n6865 22254\n32358 94365\n91403 97305\n18711 21393\n8372 15742\n19406 94506\n32257 81271\n15154 66929\n24628 59588\n41623 79725\n12282 58580\n16497 42870\n10868 33092\n62144 81885\n84378 96689\n19178 89967\n36086 50410\n79990 91197\n12427 63487\n24350 66857\n1032 51349\n5550 88528\n17596 81370\n49895 75388\n5888 56188\n49781 67309\n50632 60049\n11982 34732\n34149 85291\n11764 20988\n7985 37377\n59657 75509\n27330 69205\n55759 89539\n26298 33282\n77490 84364\n69937 72392\n45780 86198\n37329 66569\n62647 70263\n43882 74698\n9181 76691\n25340 81818\n32345 59295\n57624 77044\n57960 66223\n38446 51214\n25914 95784\n25709 60561\n50273 80252\n60156 69019\n69783 79375\n39561 40045\n32864 75334\n31302 83154\n67679 71490\n29895 76543\n26544 59441\n6920 70776\n21639 30592\n66012 89761\n33593 49012\n50325 92047\n57334 90757\n13615 47122\n54168 76049\n3127 23925\n2561 35315\n44587 56533\n30595 78867\n81815 84882\n39012 84080\n16879 98415\n46031 60002\n29038 68219\n41767 74561\n60275 70622\n1974 20571\n14959 79318\n44187 47080\n39610 91335\n3221 41806\n27232 70601\n70263 74546\n10744 80055\n23103 82379\n4169 95634\n32902 93646\n4107 6793\n26233 63374\n7332 45784\n22037 42609\n71370 76729\n32757 93279\n23025 70762\n36736 93832\n44935 96595\n42122 63135\n57842 86534\n19026 89008\n73932 81400\n4378 71452\n4128 81160\n22597 94019\n27232 58055\n34807 75198\n13739 32892\n23650 94352\n1692 6856\n34315 57942\n30289 44912\n46789 65594\n40679 50785\n31389 56536\n52031 94257\n28345 89141\n19692 79778\n57279 61062\n44209 82428\n34945 72401\n14478 55458\n7675 35239\n50979 85811\n27194 44447\n41495 99333\n1338 9621\n62265 71460\n6462 32198\n43214 49825\n13421 24420\n25387 29428\n6603 60071\n11484 33459\n23462 42858\n5515 86239\n28097 50190\n18215 85185\n63506 82444\n2231 63512\n6144 38787\n42572 53540\n19336 86268\n50363 58413\n16033 77973\n52709 91768\n1790 44887\n7652 85256\n27845 32255\n3309 32325\n84996 90239\n42962 84654\n32 27739\n43545 93736\n42906 86189\n18446 68261\n22680 92263\n37744 69758\n7347 46640\n34957 80537\n72373 77551\n16798 20716\n79388 95043\n15911 66356\n27565 55279\n16591 87617\n18401 61800\n56800 85343\n5391 8921\n8737 39397\n30459 42153\n4390 26332\n7704 39286\n24189 93558\n12700 73872\n5634 54094\n398 1900\n63882 75729\n40908 75227\n27720 69877\n29382 37940\n6709 66240\n1218 57849\n60882 95754\n6030 85208\n47634 62791\n2824 85820\n4708 62918\n26779 43806\n30057 56320\n26535 56505\n78713 93903\n13333 99008\n4333 70069\n53211 79307\n15340 92841\n50822 52009\n46615 79180\n12390 43211\n13351 74113\n42955 66248\n39278 60038\n68714 83171\n39383 56590\n3650 90681\n24340 49768\n84287 86924\n48475 85410\n27146 34732\n43766 84511\n63988 83302\n14684 72163\n19700 74834\n27707 35802\n39527 42383\n29404 75900\n37943 68318\n19667 99709\n20379 34570\n44688 66925\n25392 31346\n30898 59798\n1396 40016\n72685 91097\n2360 31961\n17873 56136\n41092 96760\n31089 78095\n65589 70177\n52363 80297\n30460 71892\n13481 95969\n98734 99853\n49454 55936\n3857 38992\n80016 81273\n45895 82654\n33375 81132\n50442 60145\n90740 94394\n24422 53515\n15486 73735\n27852 97731\n2857 99289\n16543 51405\n13407 22067\n34948 38647\n40684 88449\n58478 73979\n17651 23273\n14729 75668\n71225 71722\n19123 83081\n11415 35362\n38132 74953\n68884 94637\n13471 21751\n45366 95500\n27289 41980\n46831 61373\n6082 17854\n41843 72092\n38858 49790\n6948 12466\n14530 74785\n47588 66237\n24679 85992\n28296 91560\n36127 49651\n24993 79988\n20687 53681\n75409 89312\n76868 82140\n36402 55531\n62496 69243\n3652 20685\n4919 89495\n91727 94881\n60847 88812\n31609 49724\n61263 93781\n83996 88270\n39411 48295\n3741 63121\n62822 74984\n24734 75688\n22217 63340\n12939 84257\n16908 66333\n1693 7602\n19352 69321\n24880 60760\n63647 95954\n25816 73196\n3030 82010\n50511 56092\n70908 91411\n28234 77326\n55439 95178\n38771 39681\n35275 41837\n37162 51031\n22588 86414\n14741 90823\n9901 42079\n11190 45785\n22213 38575\n22126 75223\n13598 95980\n26060 38470\n89475 98309\n61540 71729\n2810 6015\n5241 87975\n57230 75377\n47508 91310\n7642 86146\n42132 97117\n56184 63464\n2397 49193\n6455 99604\n12690 59543\n19321 61240\n22423 59488\n27336 43819\n18449 98737\n42146 96265\n33405 69764\n4432 27078\n13952 51705\n36667 44991\n23069 49804\n30853 46298\n32089 80931\n5515 55622\n25167 71041\n77331 77741\n18976 95755\n55987 71831\n47572 90001\n7532 43685\n22071 66158\n29932 46144\n69823 71483\n74667 75331\n22565 49745\n92390 93854\n56723 93451\n8873 23270\n2615 5294\n62924 69414\n8690 67370\n48094 60091\n42083 95513\n2093 76433\n13119 56301\n29870 70232\n58769 61845\n37915 69094\n66271 66959\n49052 77783\n81392 93129\n60110 89974\n2314 56272\n23785 97825\n60140 94181\n14444 90448\n6990 70394\n10970 52659\n10436 75242\n23039 38209\n42018 89857\n47365 71861\n30200 61056\n30493 91906\n29247 66941\n17438 56970\n2209 35877\n79146 85999\n18736 59221\n35620 39741\n1532 3627\n89884 99897\n27315 84553\n35930 41142\n21833 57825\n21545 44520\n31207 53205\n11722 67907\n28616 68974\n12584 55195\n14002 86146\n11798 52802\n16705 98400\n4561 58765\n25303 81173\n58038 99742\n94741 96127\n21063 62335\n43174 67433\n7310 50662\n83831 98481\n45574 58679\n70721 80175\n15822 50211\n4493 80376\n1176 62916\n18753 53897\n4515 92446\n29301 73681\n90164 99044\n47962 73480\n23804 79332\n4880 12050\n64520 89873\n71926 83849\n10125 83660\n21222 59596\n5029 37012\n41001 50418\n58663 86534\n2030 68101\n3804 43619\n25646 59866\n902 32823\n53249 73918\n52455 72531\n16065 82432\n22731 77432\n33755 89432\n60108 87723\n12310 93768\n6615 38025\n28768 47360\n36387 84553\n3337 57931\n33393 96104\n20257 92694\n47220 77215\n40499 94118\n69603 75157\n32166 38091\n48983 90279\n6878 26270\n639 86352\n83220 97887\n2791 41450\n6511 65543\n28455 35310\n84590 86834\n4200 32235\n3123 15714\n57281 98622\n23042 75915\n30730 62991\n85667 98272\n40786 94264\n17067 34544\n2659 45690\n5717 46135\n59045 94255\n22647 28281\n23878 65295\n19072 94609\n47513 81068\n36187 80074\n36632 50358\n7640 94195\n53493 70326\n17971 66535\n37027 77186\n27776 51619\n20956 21748\n6230 82302\n4890 10189\n20450 44517\n30086 99429\n65453 79255\n30780 44546\n58009 60677\n23693 71492\n42516 79124\n44808 63183\n47460 81358\n4067 91657\n65846 85380\n12653 40814\n24436 41926\n11643 92856\n26577 46085\n1104 94610\n50879 84938\n5484 51762\n9132 81002\n60164 76861\n85725 93270\n35207 62688\n23862 63260\n23121 24307\n9890 67261\n139 91582\n805 26869\n39320 73991\n1146 20150\n63875 92057\n44691 77332\n46249 78065\n19324 29462\n93091 99090\n47104 86642\n40340 82831\n63051 73716\n32600 75753\n27405 49863\n84300 89626\n52358 61709\n38907 69966\n26352 55925\n57619 82975\n3707 92369\n16740 32594\n52914 58350\n51324 90603\n38865 62598\n11001 27770\n51921 69314\n27 66564\n13085 75574\n68118 88227\n49943 98874\n83132 89526\n47307 75292\n12479 92525\n61213 83132\n46603 81804\n38645 71724\n10125 42468\n81423 92698\n51207 77665\n43820 77442\n1109 94161\n3844 72445\n51875 91650\n20293 68841\n1672 70143\n13363 27490\n50768 53891\n73099 81328\n75350 85371\n27030 33089\n8549 28715\n1376 45490\n23945 60515\n82820 93647\n17891 32144\n8720 16108\n20314 57120\n6006 25747\n57973 76105\n64154 95210\n23507 50540\n43711 78622\n13295 38965\n76523 81798\n19862 31370\n29777 31260\n51263 72890\n8972 97644\n43819 98202\n29901 57107\n7192 57229\n7217 45651\n13446 78409\n10908 84558\n55369 96802\n7890 69868\n21352 62071\n34076 48630\n73565 79272\n88654 99776\n16774 70993\n13470 62099\n8101 61518\n10678 33800\n13838 18888\n44808 79525\n31213 72766\n4862 62371\n35919 62200\n22523 50433\n14815 98572\n53746 62057\n30230 49893\n16206 68498\n20019 56004\n18955 22202\n20441 86821\n58033 88447\n67745 75655\n43269 78126\n26225 74311\n44819 73801\n20878 99111\n1392 14504\n38032 40336\n65392 66230\n36672 64145\n85008 97710\n50972 81968\n14189 81771\n49838 84738\n47354 57636\n88061 97742\n40615 44085\n27934 42046\n25922 64573\n14421 79827\n33891 99701\n21901 26297\n27600 45721\n59685 97600\n32361 59964\n36369 73033\n58412 95987\n783 27961\n16353 57103\n23409 50913\n14979 80251\n4020 59285\n14158 27285\n192 93794\n55570 93481\n65014 72844\n48501 77587\n47666 93539\n5908 57734\n36234 65872\n18604 40194\n29590 41980\n4189 26486\n16827 72279\n13865 69640\n34277 75716\n36621 50249\n27121 51405\n21380 42861\n15398 20646\n14686 67528\n5389 21086\n73833 81327\n51439 77296\n23771 25592\n2488 10621\n12001 94077\n7568 48633\n72771 83932\n92096 95342\n12381 30852\n65488 91629\n13845 66900\n35749 65329\n13621 85395\n63291 94699\n65130 98441\n70555 97553\n37802 89056\n15622 56882\n33165 56840\n61938 98409\n16229 80855\n79852 94737\n2660 57071\n5614 96957\n12178 68639\n17288 79593\n4018 75752\n6335 20122\n26292 77334\n80074 86612\n80891 90011\n18613 43663\n77487 99976\n19720 71848\n7304 21034\n21449 40048\n33970 51081\n5364 36778\n39015 79163\n9773 28840\n79252 88166\n54384 81672\n56103 94439\n69211 97063\n25080 91213\n17834 33723\n56797 61659\n10616 95428\n14748 72568\n34925 74048\n7182 23694\n62646 81272\n70271 74691\n7863 74751\n36952 96631\n56919 67279\n2494 27614\n36276 83851\n32784 93226\n20187 31791\n597 26629\n70539 96206\n29799 69265\n72310 93307\n11433 84331\n13035 17167\n3210 17373\n1710 66240\n19505 26857\n81982 92241\n64867 66849\n37224 38776\n23095 60908\n90101 99740\n32899 95841\n20579 64135\n69040 78885\n31400 47880\n9618 59034\n29358 64559\n36538 48087\n44296 51399\n30918 31115\n49284 97599\n4956 40896\n61774 66037\n56818 76491\n44065 52739\n21764 24926\n2866 11953\n74947 94684\n54969 95429\n14560 43449\n28376 37491\n53869 87307\n88660 92954\n61352 84341\n26208 69480\n1651 40150\n754 63145\n58463 60721\n21198 69010\n3897 49761\n33863 55665\n22063 65176\n16082 51815\n64641 76372\n3236 63535\n69472 77533\n39936 41177\n20365 91362\n2184 30051\n29620 43228\n35891 38977\n13918 75780\n36734 39030\n4706 78255\n15808 77071\n64474 83051\n72650 95748\n43363 61897\n38974 75602\n4728 76727\n5851 11773\n65723 78713\n7927 58131\n24540 83246\n7303 35538\n80431 90027\n17772 97330\n19375 46974\n7115 74032\n58159 60922\n28460 98373\n2666 24522\n45881 95843\n6687 39979\n34105 91572\n11813 54687\n16873 19988\n71256 83898\n29704 59842\n42313 97555\n23192 55834\n18832 94479\n19627 70978\n44147 45782\n8720 85329\n13379 32682\n17519 89484\n61838 76675\n62013 74385\n17375 44101\n16526 99561\n85164 92011\n14732 46712\n58064 85205\n28668 40270\n14127 68676\n35996 94522\n55210 65931\n36250 74349\n16875 75331\n73647 75983\n63401 77977\n25244 63932\n10326 24336\n190 29756\n1464 4197\n47495 91711\n20106 83273\n26195 43133\n16515 75633\n47220 99230\n17399 35010\n77432 95024\n37138 72268\n34530 61732\n20239 37469\n6153 20345\n22086 35250\n2033 39056\n31620 96301\n8669 75670\n59757 68889\n60274 81486\n18665 31661\n38227 56925\n32725 44071\n9933 67240\n26500 95586\n1455 63049\n15079 53305\n8156 66478\n69878 94500\n33278 54444\n56670 64443\n7210 50052\n6960 21942\n70551 97996\n36845 89199\n13865 39932\n16013 31396\n7766 27450\n70292 92301\n19207 23237\n3968 12402\n46878 76254\n39225 79120\n21985 56414\n22266 62161\n48064 96775\n24243 79573\n2834 70513\n3041 52573\n43439 83352\n56654 62021\n72859 92133\n23836 58068\n33089 80141\n86002 98973\n21768 55985\n42548 81044\n55738 59943\n42126 58513\n56223 57270\n38487 59053\n4261 79225\n35629 79811\n52753 88142\n21555 37775\n11258 66688\n56289 75567\n29230 40806\n1046 71407\n12936 64657\n68230 80392\n30118 47559\n49053 78197\n6664 30548\n27020 95619\n55176 84642\n2520 10162\n543 27053\n39955 94458\n2316 77219\n55308 95227\n55196 79200\n49636 70825\n31167 99076\n69452 94936\n5380 57060\n4317 38912\n15874 78323\n30539 91478\n21588 48438\n13228 50768\n39757 42578\n56220 76342\n81394 92474\n23417 89714\n27562 62030\n23580 66825\n75103 83047\n20247 81785\n11512 54504\n26570 44317\n77753 93728\n42588 92594\n12289 59107\n34895 73306\n8443 71402\n7737 27420\n35744 52554\n23034 64967\n42347 85906\n2978 16172\n3017 60662\n24695 86759\n48714 63613\n21722 98274\n43764 48463\n24269 45265\n22266 62458\n17003 61395\n31362 97445\n66930 77890\n21110 40437\n15475 59748\n6131 69054\n80566 82247\n33680 56463\n44232 64787\n23719 67519\n33577 92414\n33663 51018\n40199 59449\n15407 20486\n29089 95198\n46206 79876\n2560 59110\n12223 96113\n7838 64597\n12821 51711\n41342 79559\n8718 32871\n67098 90403\n26519 60442\n11838 52668\n57450 62438\n39804 94066\n66229 72233\n18745 46290\n49760 69094\n2881 88282\n21196 93811\n62883 79067\n28551 41393\n19987 21568\n37744 65525\n43971 76812\n24438 85401\n85602 92229\n9414 87774\n2969 99309\n47379 55040\n10936 39929\n56200 92501\n3433 93599\n60334 62570\n15631 40757\n52478 70186\n10653 12321\n31045 66898\n66950 86572\n52208 87366\n2797 51078\n5562 14879\n38088 60555\n54087 91076\n22333 66025\n79201 96787\n21214 28841\n35330 46041\n5701 17425\n13561 64585\n32232 81239\n7731 93911\n3300 57668\n23781 81995\n13927 85133\n13612 38363\n77212 92031\n44883 67223\n28210 41984\n15793 48117\n34702 86218\n40374 54549\n6903 40021\n34288 88868\n38839 63324\n37648 51556\n30242 52801\n79529 85508\n7404 22908\n11968 13553\n13071 15801\n57883 73349\n82336 91539\n18922 53362\n61618 66629\n74157 87863\n53641 60410\n17373 25039\n64378 69799\n65264 85696\n17112 34442\n12318 13301\n11669 73198\n9902 67223\n54172 82206\n11297 25395\n1414 27092\n65748 81423\n28771 44983\n41794 84892\n59970 73464\n26159 53920\n27760 31112\n32864 87093\n7753 54983\n3234 52870\n214 32382\n80030 89305\n2294 44364\n17208 55365\n26025 31901\n60142 80057\n27155 99909\n10682 72851\n28675 87166\n12280 91295\n7043 76209\n17621 85611\n48397 60328\n44879 84089\n42278 94532\n22211 24563\n7416 62503\n25730 69724\n29801 94965\n19802 90789\n14329 43901\n12021 34092\n17415 99496\n4242 6286\n45875 64566\n73343 94592\n16765 93682\n1984 77413\n62911 78857\n28771 99134\n18978 84879\n28245 60819\n44364 72186\n32306 56301\n90039 91686\n36156 59568\n17696 70621\n28242 94993\n50866 81992\n1791 52282\n29847 52591\n36901 55948\n45478 77462\n2433 20065\n30570 39637\n26205 58454\n5254 25482\n1855 2216\n83262 88875\n1891 79603\n17533 57642\n6945 20765\n70763 72779\n7034 33818\n29002 32739\n4989 27228\n1727 56278\n48217 61276\n5205 80551\n21796 40846\n66732 86377\n34607 60077\n23852 32930\n58565 68324\n39286 63370\n62188 77423\n768 45171\n37663 41794\n31167 31284\n6080 22427\n4626 69689\n27022 95406\n33742 42790\n20803 69889\n46617 84233\n55045 72709\n34647 62228\n42379 97809\n29998 64053\n19520 35823\n73364 89663\n63223 72609\n51350 64035\n28314 84060\n19841 68271\n10945 17049\n44965 60454\n52873 75366\n48722 71064\n16238 16337\n56844 75716\n49230 86058\n11972 90232\n51862 51902\n32287 97955\n998 33399\n54782 59321\n16076 22229\n22525 65512\n20847 80329\n33157 38768\n27788 81147\n27229 82881\n65181 74718\n1506 98009\n27661 85677\n11938 62443\n64750 97334\n25915 71608\n30923 96071\n63086 72935\n3756 52994\n41735 59126\n3915 16384\n41456 64851\n16748 98032\n13427 97684\n18257 62141\n15423 57226\n51339 59649\n70661 97883\n3322 12231\n1692 4594\n41535 98467\n5832 6921\n13212 91018\n1843 4505\n12091 46391\n10657 23542\n30464 79119\n36426 83009\n11661 30584\n35584 70559\n17781 68071\n5438 92999\n46063 80509\n70056 81856\n3668 24692\n25564 55373\n10787 58073\n43447 44850\n42946 70441\n16856 72761\n27535 39265\n40658 93878\n10890 33095\n17370 44314\n38735 59059\n13505 64655\n67298 75324\n9939 61681\n72339 84248\n71594 89323\n60738 72427\n44118 77455\n45325 93670\n31061 31919\n4062 87909\n37828 50416\n83810 90546\n42986 59070\n42832 85492\n63356 63656\n11742 21956\n13136 47319\n29466 41057\n12638 70217\n40678 54726\n13918 14046\n20634 75682\n25317 80389\n21830 90269\n52354 78229\n45293 56636\n17310 33734\n9357 21640\n67914 77396\n57806 81297\n34799 71941\n6274 37398\n29361 51173\n75996 93858\n4668 20069\n51845 96696\n13431 36155\n41919 87064\n18119 26936\n74235 78336\n4178 44926\n85475 94418\n90407 91717\n40221 61085\n12550 87165\n47104 95097\n9614 93925\n81576 85092\n41279 57284\n48422 61646\n66338 76717\n87659 96007\n948 42310\n5787 79235\n89015 96889\n28295 83139\n30684 54824\n65489 91326\n70192 84380\n9078 13540\n43318 77151\n19499 24084\n17379 91897\n27429 57404\n5153 24096\n67746 79171\n81035 93321\n84094 85716\n22456 93154\n8300 80806\n11448 17229\n21913 55860\n61432 82566\n48579 62767\n9746 78971\n97666 98387\n23088 87094\n44068 98573\n27856 66792\n16867 83062\n63358 88911\n2658 23121\n30161 34305\n4265 43893\n29617 36338\n10255 93970\n18164 23087\n16823 79517\n38888 60215\n12981 81465\n87500 92281\n16270 48137\n21628 36127\n26115 56618\n84115 86381\n7631 20151\n27611 93411\n72508 74361\n3272 65956\n10143 28144\n10206 74120\n47907 56719\n40677 41906\n12652 84076\n8936 84662\n44576 81653\n72246 78642\n41237 77207\n1332 77984\n6685 17612\n40139 59529\n68435 90597\n18869 83531\n40312 76069\n51668 65467\n86586 89645\n56309 93364\n28265 36666\n59892 65668\n68898 92250\n20234 79705\n50427 67658\n44717 56559\n21562 75445\n43299 94616\n44951 99178\n596 36294\n61862 71301\n5227 31916\n12777 85836\n62931 72380\n16810 46109\n16010 29453\n48267 93223\n61500 64500\n22049 25844\n3061 11964\n12672 40863\n8229 34168\n70057 94231\n20584 81590\n3769 43318\n38864 95071\n54498 89856\n35787 88305\n39930 46669\n4213 20592\n32070 53104\n32303 71054\n2682 20548\n55254 83828\n9171 61678\n48271 49246\n77362 98089\n29270 56712\n40629 92513\n27067 47257\n12705 28637\n40693 50555\n13473 85183\n13648 42029\n38988 66240\n72284 91771\n62350 81354\n40294 92418\n8219 60510\n25814 92419\n21707 60888\n42083 54109\n10398 31346\n33307 39620\n7173 15995\n38727 47746\n7648 37326\n56633 81560\n43760 57038\n36089 39510\n22284 54935\n21665 70250\n29064 59348\n21728 47572\n36367 93109\n70062 75671\n24091 25790\n52080 79557\n10934 56979\n63766 99507\n49769 74073\n81868 93161\n30725 57134\n12666 55742\n24225 89820\n62480 94063\n1951 14821\n61050 95282\n12568 70030\n27383 90948\n46985 91294\n40560 79309\n12324 98934\n22634 93457\n24154 75368\n38887 93884\n84879 89709\n74599 84224\n9168 67065\n11381 25945\n54978 68401\n40763 82443\n36309 72880\n14211 23190\n39958 67950\n28414 99940\n27866 68030\n91174 92400\n11964 30887\n60638 69696\n91 12443\n63647 66135\n12112 28998\n25169 91220\n56488 58104\n52338 52425\n21824 29016\n15549 97079\n8794 86004\n18415 48501\n59886 60236\n21004 66646\n30308 69827\n56409 89865\n50043 89841\n9299 75783\n23362 27273\n40374 48155\n63631 84876\n4824 68875\n6434 96447\n1298 91265\n77536 82895\n38251 46505\n60793 99195\n20528 67415\n2303 52555\n15353 68344\n85583 94645\n5108 13284\n16216 30744\n67248 82232\n9823 74120\n63024 84486\n37251 84421\n54031 72153\n73205 99942\n27393 95311\n36429 94465\n8969 74559\n8030 70190\n26890 64286\n6960 79082\n36329 91572\n932 44843\n10803 94649\n43312 54613\n80314 96606\n64373 65085\n57748 81792\n33902 42990\n57033 61613\n55646 88072\n9607 31617\n22618 39237\n31804 36091\n14900 24976\n65594 71589\n3546 5667\n11909 36670\n3086 18839\n28613 32042\n3376 22821\n13924 62247\n4307 13994\n5904 12826\n16835 87088\n34355 64648\n82073 88747\n26890 57736\n36705 90142\n40946 47956\n32319 82640\n80700 82234\n7862 40554\n11655 82478\n8286 16793\n1 29821\n34838 93317\n33701 52803\n24345 92692\n15569 56096\n15183 75780\n42004 65280\n4241 37968\n39845 61760\n33889 97266\n8351 22884\n6318 29298\n15997 21915\n69932 92505\n5541 41804\n4680 8606\n76045 82832\n23464 86240\n22198 76338\n12877 53443\n5419 88053\n16274 89908\n23218 80037\n15889 19073\n48107 67908\n21166 80990\n54876 68362\n24017 79176\n21224 74769\n32766 65720\n79271 96418\n6993 14382\n27507 87059\n55414 60443\n33611 39117\n33092 83831\n37491 62328\n58061 68273\n38588 82917\n25662 37417\n66357 80209\n50653 64995\n40838 74640\n63098 75573\n37622 94852\n56271 61547\n8953 77422\n43451 79779\n14223 96770\n53492 81500\n90136 93506\n37595 74213\n58235 64982\n28971 94627\n28970 33969\n5747 47127\n29951 60351\n31384 81930\n21357 85441\n1208 53140\n76652 77795\n1087 20086\n62838 78157\n35052 82141\n82292 87776\n22500 26710\n55870 69635\n67779 88140\n57486 93452\n1757 50566\n31622 34855\n9983 15399\n49849 75038\n63424 72941\n23445 82984\n61342 85137\n74266 82897\n2217 71978\n77571 85348\n45990 61281\n17577 64314\n4704 16293\n25656 87852\n40555 65444\n29535 41530\n19448 50489\n53227 75696\n23166 65767\n50187 57150\n49099 73335\n20424 43561\n59095 90487\n5705 78565\n3558 83787\n4440 67992\n77169 81450\n3754 18838\n34779 78779\n28727 40782\n74370 84561\n77476 96605\n24377 78551\n7166 27659\n7174 26456\n64569 83607\n69222 98795\n7265 80481\n67507 81148\n47836 87751\n20656 81326\n24239 82850\n38358 53350\n2967 81796\n54544 90702\n11873 35806\n38728 99866\n29223 95003\n34640 48077\n32845 60982\n33736 97365\n60315 75351\n38033 72303\n6142 35905\n57270 97199\n32574 70214\n3820 83989\n79663 96763\n35067 63915\n55644 92912\n50963 81827\n39764 70454\n43713 93947\n17667 54395\n37674 63073\n56 26327\n3265 47827\n11693 68490\n80073 92531\n72563 92894\n71036 84825\n10628 55471\n43558 59494\n1789 2438\n7672 36371\n44331 54111\n7632 37020\n36591 86953\n3362 60733\n58421 87598\n29234 99799\n7327 95540\n96524 97219\n32142 83539\n56325 57488\n78323 87292\n24778 68878\n49495 76989\n32538 78661\n6416 99326\n79754 81069\n41009 93067\n14600 33321\n57719 74300\n19450 53982\n68824 85202\n16235 50318\n73849 99540\n63825 98061\n39793 86439\n6939 36398\n63403 65290\n32581 36188\n24160 73177\n1196 8554\n82227 99164\n31199 43086\n4735 83936\n10389 54471\n18330 84584\n33735 42971\n70364 92474\n7360 19341\n77768 82150\n22376 54310\n54269 75192\n53924 59721\n477 3626\n79496 88183\n3884 55422\n6322 12394\n96520 96836\n28249 39040\n6317 84446\n59210 87066\n54487 83896\n7243 49441\n13697 63314\n398 35144\n10919 20000\n24412 66110\n47430 87673\n40875 94050\n7323 52615\n65541 99592\n33666 34763\n17527 74263\n34298 36425\n28188 63088\n34803 39515\n47156 90769\n46954 84446\n40421 66962\n50393 72533\n44245 48284\n5785 37202\n50178 51185\n52157 88973\n37690 63362\n2727 93764\n7953 46770\n7713 46055\n5243 78210\n50560 64142\n4834 27129\n8229 64553\n4170 68292\n1616 11206\n28047 71936\n31694 41935\n33450 74662\n65159 95343\n51703 75555\n45669 53502\n44398 69731\n15344 29300\n95060 97021\n64581 74128\n19077 19939\n72336 75182\n21034 76391\n55414 88605\n25229 30523\n23877 48641\n65308 77693\n31714 55335\n14853 70806\n4557 36795\n42358 60230\n52840 72971\n34127 86032\n65725 71632\n4586 47932\n9644 9763\n12827 58806\n47053 57312\n2065 51746\n25743 27998\n16685 49807\n24730 57575\n2319 24389\n37584 45493\n44205 85090\n24885 93510\n53296 94192\n12056 71187\n43510 86680\n52446 90871\n6883 27171\n59943 72979\n61376 67557\n20866 37922\n27596 70538\n2303 63926\n12104 38275\n9228 32765\n28813 61769\n50925 84695\n53556 61963\n1633 48148\n37385 66543\n54462 97580\n40661 96411\n2264 72485\n53031 53673\n20423 42117\n9126 31724\n53372 83920\n82794 89473\n25566 27923\n8027 33016\n50660 97055\n21190 25622\n43831 90426\n33927 72649\n11069 22046\n50336 58871\n14604 77274\n28149 82983\n70274 94872\n39155 43859\n78640 82305\n2487 20943\n72135 96504\n23261 99784\n15441 76857\n6395 82068\n17811 82903\n96964 97790\n40807 93313\n32112 59699\n30323 73692\n81865 93655\n17091 45477\n21604 77016\n1508 97417\n23792 68378\n22520 38000\n65735 66613\n13637 18153\n47579 74234\n63240 74351\n1086 84610\n11003 35852\n2464 71662\n5644 36980\n63253 88089\n1727 86125\n52886 91628\n42275 69824\n43009 57325\n35260 72316\n17783 45769\n28612 59844\n10800 45191\n3264 29215\n12540 17341\n24554 91523\n15728 32106\n52946 95363\n46964 63469\n9843 73678\n36855 41049\n13908 61893\n41287 66508\n59219 64837\n60532 97246\n80903 87674\n22547 97729\n8360 40966\n22205 51591\n35773 64378\n18675 55582\n7449 38362\n38866 49661\n64796 72444\n15343 33003\n20605 50115\n15412 67857\n908 85327\n12206 84513\n63095 88754\n18256 45989\n25639 52959\n173 11296\n60267 64479\n1379 42899\n31288 75382\n4271 21317\n6059 46799\n84018 90746\n4639 91740\n11212 59492\n5770 24321\n617 88025\n24616 33372\n87445 93225\n50759 96278\n30975 45888\n9988 87445\n4000 61475\n17154 35984\n865 12235\n28287 94769\n3708 53013\n25417 37549\n27834 46805\n19477 26660\n34601 82039\n10114 31428\n17704 58289\n24853 25887\n37794 52726\n30586 84612\n421 69132\n37337 93221\n72539 84102\n39391 64758\n53714 66351\n52822 72954\n74656 76132\n5602 74978\n14374 15544\n19872 76438\n64503 91488\n3186 57985\n29059 91699\n42946 52246\n24472 58054\n45431 89638\n25570 99793\n1632 32117\n26571 71402\n23872 35558\n867 57049\n70032 96366\n18466 61661\n53640 89384\n50136 63957\n34543 41113\n9776 52674\n21698 73707\n17263 94191\n77000 81083\n14779 57433\n9006 12055\n60273 63951\n78384 82686\n4437 26674\n920 51741\n62203 83557\n53701 86266\n16764 59210\n60437 74698\n33676 36636\n45908 93883\n37584 87011\n29279 79508\n61987 75678\n9854 98005\n59223 99581\n60778 72171\n39694 81811\n4980 97546\n67864 80037\n37013 37102\n39359 94143\n7142 67959\n3378 3630\n5918 49424\n37439 80629\n19042 86877\n4252 66558\n27072 71607\n50088 51183\n67522 76521\n7549 38518\n34567 82257\n61933 72846\n35124 40011\n34859 74625\n20422 72053\n54593 97798\n49030 53832\n29950 38927\n53792 87395\n31326 84265\n37574 38714\n20000 38322\n29853 47641\n6724 69233\n9025 91100\n2896 61032\n28199 62411\n48268 64827\n55282 97476\n12127 85626\n24958 72951\n29825 81443\n17710 53701\n24238 68705\n38159 99433\n19877 22202\n19378 92028\n40496 63974\n89465 89823\n31653 98823\n88718 93166\n62211 66670\n40239 98700\n226 73064\n22453 46317\n12963 16335\n57804 96070\n34930 49560\n75192 93356\n47194 80022\n6270 13176\n30088 90877\n13602 72961\n16067 33211\n5373 87339\n13568 37086\n9723 9788\n38780 89331\n15421 86975\n90560 99701\n25902 70431\n30148 70436\n86212 95061\n17781 43542\n12598 68659\n37177 64248\n22330 77410\n8148 65869\n17420 98970\n69767 96804\n17855 63822\n53201 66303\n7699 14697\n66364 67638\n13403 40243\n43950 54720\n52208 68571\n35635 82564\n43285 95612\n82479 91342\n15911 17689\n73311 89065\n58325 90656\n54847 76017\n42239 42498\n63432 78549\n6077 85903\n32255 72987\n38790 63747\n46898 67927\n17508 28207\n20047 64834\n24646 28987\n41793 87528\n49503 95608\n17871 19432\n26422 96366\n21520 76564\n1692 37246\n20155 83068\n30729 30957\n623 78970\n13992 74675\n23374 73447\n9657 79063\n23259 25407\n11767 26837\n49064 87343\n27892 85853\n14795 92312\n35014 61586\n16481 17517\n34765 80318\n56051 79762\n9808 58597\n1535 67487\n60092 73398\n42029 65570\n70844 81485\n31553 79596\n12234 54547\n9904 57515\n60643 79521\n9827 81463\n12663 59886\n80841 81006\n3803 60984\n35809 83015\n12618 27799\n59845 82249\n38087 88190\n21764 44861\n24047 81157\n72283 98667\n22906 27150\n34568 71235\n49170 55038\n8028 74485\n25713 64586\n24774 31458\n19481 77318\n7754 34375\n43301 82018\n27845 96226\n16574 53246\n2103 11119\n39606 96710\n7907 95816\n32727 72560\n57925 73958\n4134 94026\n6867 69794\n13560 30015\n9057 72385\n13747 27297\n19827 51556\n5395 31865\n13744 28970\n46538 82967\n61533 86467\n85421 88392\n44057 76847\n12236 69062\n59163 91376\n20434 59602\n1452 31492\n58025 84515\n52863 96764\n58947 72794\n59033 91370\n32861 39502\n1819 24486\n10993 37890\n44743 62795\n29175 58015\n57303 94191\n49819 79087\n45699 99411\n22500 49078\n37241 42866\n2364 50405\n30505 46497\n63929 85715\n56871 83423\n28084 37875\n1638 31067\n57974 92893\n14367 93435\n38467 58681\n48000 72889\n49022 95195\n28260 73050\n34306 51148\n19897 50299\n75971 94863\n42744 80455\n38976 78118\n35362 67704\n18250 61984\n7889 85244\n48627 51655\n18557 42823\n25158 31502\n53675 94790\n7432 46480\n61249 90302\n52596 87707\n35763 79879\n2853 82479\n9705 50527\n77086 96731\n40756 71338\n35578 40824\n43872 63336\n21210 36747\n65753 66950\n31191 68795\n87293 87873\n8736 49808\n15386 88592\n23050 38996\n37350 39591\n83898 89752\n59241 59256\n17672 37111\n53956 59344\n43969 68312\n40116 96149\n68869 85191\n11352 60447\n15653 56363\n73167 98767\n52414 65675\n13098 77012\n21084 47558\n19560 34062\n44117 54077\n8805 37541\n94296 96065\n16112 45958\n17877 98912\n5401 32250\n5568 61983\n16405 61748\n31535 47981\n38009 48896\n16055 71545\n72678 78098\n38963 87900\n7275 30610\n29663 55538\n2577 66723\n16413 83653\n35507 56520\n22380 43456\n2374 52844\n53793 93110\n46420 83826\n4854 42324\n56800 59781\n74135 82087\n27875 32135\n86591 99711\n30784 40849\n63915 64756\n8560 88094\n23306 64564\n59906 71598\n28560 79840\n7295 80985\n3106 77524\n44368 73145\n30605 58531\n12433 16176\n44488 48273\n29122 84745\n21808 32676\n2993 10082\n27486 88106\n70390 96659\n33871 43274\n10947 38582\n62524 91254\n5255 61515\n48223 82744\n1710 84234\n2183 8458\n32311 36570\n40199 87916\n10636 14840\n59297 85023\n37383 54029\n31890 71433\n4430 14755\n80883 83160\n44339 90104\n19898 99739\n5532 71611\n11745 76287\n3037 33360\n417 99416\n84056 88139\n23176 88201\n63910 66042\n63685 88159\n34482 39484\n33866 99293\n9512 96508\n21124 86124\n91066 98186\n50644 57868\n60294 89614\n85966 93022\n23284 54800\n28756 99026\n1537 16608\n10132 40169\n14774 44027\n23745 46295\n2402 18921\n37121 86701\n32377 70773\n57274 86458\n13170 37880\n41142 49694\n10290 62296\n17758 59271\n15053 44244\n16582 22140\n14208 47397\n55963 90562\n11648 76470\n33365 55512\n4784 92168\n11095 53017\n15850 18479\n17172 77944\n5068 15420\n57370 74986\n24941 81026\n76073 92813\n10647 28726\n24393 90497\n21691 91530\n8919 83968\n1007 95122\n73884 92516\n67579 70533\n29756 87718\n58290 63949\n28057 62826\n22285 62301\n20561 78251\n86706 90362\n8719 41147\n70619 84382\n68865 85162\n14267 23444\n90058 93031\n37733 88628\n1501 86274\n11285 91652\n36027 43458\n40184 99718\n21358 51798\n27289 86115\n46150 66635\n47164 84326\n83095 89055\n69375 76197\n4496 44743\n60688 82061\n18719 97477\n10286 22639\n21106 23518\n10106 53809\n5498 32692\n1522 38662\n13649 40351\n8400 50621\n27698 80321\n35337 60509\n5743 64536\n23088 37991\n14171 23953\n11955 64434\n26263 37551\n41979 74929\n74210 93860\n20087 60279\n17054 83253\n4227 57683\n25763 92434\n25468 28492\n36296 48458\n37790 45536\n47964 48610\n33017 69028\n17653 73587\n68682 69178\n61674 79440\n48155 63445\n24667 97857\n76880 84513\n46632 97692\n43470 85529\n53776 76455\n9098 80384\n48023 56169\n79028 79194\n29463 48738\n69488 87923\n73969 96662\n19099 29980\n2129 5778\n72638 95176\n27604 81932\n14055 18051\n14763 30241\n41392 55437\n51067 62981\n26761 29016\n14917 51333\n31127 56006\n12495 14778\n38180 84674\n5180 14897\n69189 94735\n16279 94187\n15495 65615\n61734 97426\n41036 69681\n55337 79692\n83623 96801\n33195 75034\n76992 81498\n22799 95786\n72246 95328\n27478 82264\n32226 93870\n17296 92318\n45018 91174\n71404 90766\n61404 74459\n16827 97583\n3785 59584\n12649 78512\n89322 90963\n34254 35732\n22198 84066\n55511 81941\n73764 83980\n63011 85740\n3358 60463\n38703 70423\n83210 84106\n10759 30656\n72188 73357\n90079 97272\n67114 89145\n6090 71328\n73629 91128\n24227 37041\n46627 56905\n10271 78706\n49903 99414\n4636 94621\n57361 64835\n54917 87030\n56963 94192\n1930 24167\n24578 72741\n26400 94661\n6540 41024\n39193 81165\n2402 64117\n30813 63574\n38727 54706\n506 71812\n3573 62378\n8355 9457\n24365 43467\n18468 96039\n30148 65805\n25095 80336\n82526 99955\n77544 82651\n66852 80963\n55232 65045\n12570 98391\n78986 81189\n61794 93075\n76740 77250\n56 15407\n3431 18352\n7731 33848\n67371 95348\n60653 86106\n57371 89337\n22300 47433\n3809 28391\n15496 72411\n63646 87929\n17429 85354\n42188 81940\n11809 89146\n23199 45790\n36174 86951\n1109 19906\n5711 35741\n33765 96680\n52617 90149\n26467 73280\n21852 28688\n67901 93892\n12638 71912\n84706 90612\n42435 91120\n34146 47390\n25084 92583\n2413 82769\n4853 88038\n43137 48157\n6002 36437\n64949 64996\n75516 98024\n68514 70731\n42063 60362\n24973 93573\n25644 88231\n31277 41828\n48782 61526\n4387 48851\n41074 66153\n35682 72803\n86389 90982\n6917 81001\n5842 83341\n7158 32737\n2611 90286\n74747 87078\n62745 77220\n50969 84378\n37618 71437\n61545 68163\n10114 71610\n8399 76063\n47715 55165\n43114 63188\n9173 90277\n83714 93055\n66825 77115\n17977 42285\n68237 83108\n5817 92222\n18936 86784\n27180 99354\n3285 42870\n92680 97388\n29391 53504\n8194 60436\n25179 82237\n51169 51246\n38021 48660\n29371 54682\n13013 78374\n49087 84606\n34288 91097\n62623 89616\n58035 78692\n43345 48861\n18162 82839\n32137 53368\n11819 62407\n52791 93088\n55835 62123\n53924 54970\n41870 53549\n28520 70345\n20447 83201\n22264 47866\n84667 88048\n46596 70686\n56176 73975\n31416 55891\n76880 80881\n66586 96623\n41880 63335\n4938 13712\n72856 96180\n53251 79692\n33634 47768\n57757 90113\n61229 92012\n61779 68194\n2273 78563\n9278 98050\n8232 54695\n25596 40117\n34133 78366\n30736 33405\n50298 61774\n14647 49297\n11668 22733\n7962 9758\n16088 36296\n31248 52739\n34358 68996\n28030 50381\n7751 96047\n57777 91107\n69610 95385\n46821 62678\n26310 91088\n25632 37125\n46863 66639\n6394 45303\n46507 69337\n55930 62816\n3114 99715\n24632 55932\n20420 49405\n15800 17082\n2999 81472\n20923 86592\n5334 10611\n2968 38591\n34114 41409\n77295 98960\n66215 78770\n13358 63913\n79043 93730\n83675 87943\n822 13405\n86035 99493\n17142 58974\n38298 61550\n19705 67339\n11178 21488\n31396 84458\n25163 91820\n38075 94672\n9574 85059\n17482 59608\n54493 88359\n17002 76813\n53730 95061\n22376 62270\n18327 98040\n44294 85311\n4100 27426\n4454 24620\n33562 69289\n2437 77377\n68655 95475\n16549 24442\n80038 82364\n60127 96559\n48011 84932\n29097 72541\n9511 38698\n58957 78735\n63078 81179\n27164 54344\n71799 77582\n31687 44770\n57628 71831\n9106 56731\n43732 76709\n53161 55130\n50023 52340\n68482 93884\n2767 36344\n54593 75037\n24705 27073\n9644 23319\n36800 66508\n22421 79386\n23304 84886\n90136 96417\n14753 68033\n97765 99203\n3037 32778\n9453 78197\n11895 88211\n13162 69514\n52991 96975\n40006 64044\n16585 27689\n25383 43150\n26213 84671\n36210 64246\n23725 43195\n22486 38975\n10599 46054\n43736 63214\n26106 78503\n15745 86635\n68385 77263\n2820 41706\n81119 83193\n55116 89922\n9179 24167\n19144 91641\n4971 44602\n22035 54087\n64674 95473\n30803 44052\n43479 57385\n38448 78821\n3956 46452\n32382 98710\n10906 84858\n25458 49234\n8372 30052\n9227 76261\n58939 82913\n45098 62652\n5375 91259\n24982 69574\n12059 76721\n26779 96976\n59337 99149\n10835 15044\n4849 95899\n76783 84380\n21364 96754\n11763 32342\n37463 99578\n48474 79031\n32603 70988\n64161 85495\n8940 76990\n18267 22074\n23771 27529\n9743 14866\n56051 98749\n1418 80618\n37975 64319\n15135 94418\n65012 99285\n53014 53614\n31105 37547\n25564 90096\n7569 81998\n20158 50206\n45167 61255\n30006 48895\n44841 50951\n64752 70273\n11667 45547\n63601 81379\n53911 88562\n38163 68985\n31716 73279\n17843 98907\n74349 78148\n12665 28102\n25514 83788\n23568 86926\n39219 68444\n44047 88427\n10449 56948\n77367 78041\n34310 35699\n28206 98026\n18609 88444\n56765 81862\n7199 28126\n47036 72277\n42590 46192\n38695 48975\n28580 83162\n49791 80959\n60426 63780\n33210 48459\n12692 35581\n55877 87662\n29840 63165\n23412 60975\n20423 85953\n95491 97610\n71668 97260\n25869 66417\n49958 87938\n45220 99649\n79888 91159\n28591 79323\n63658 70738\n767 50500\n68044 69876\n51269 79303\n2592 5474\n8669 21779\n92602 98409\n10177 77061\n39607 48773\n56328 85301\n3800 55010\n5644 50328\n31714 68154\n27198 85912\n29724 65603\n52178 98239\n19182 83851\n21805 69255\n35105 85593\n29265 73925\n26775 42793\n43073 98125\n22483 88806\n48073 78264\n9917 33949\n60430 82120\n39864 77982\n21785 71977\n12905 89746\n31125 32800\n54657 65556\n44704 74446\n6551 7285\n2008 90478\n75370 88246\n82782 98817\n18549 80740\n2088 29560\n16317 72177\n50356 85403\n31643 89736\n37208 69371\n38271 79642\n15325 55088\n46511 78884\n43182 85784\n35991 38679\n35926 64038\n19902 53187\n33020 38162\n5436 90098\n72377 75118\n34876 71705\n44410 57171\n22659 93519\n55745 74275\n36809 43437\n39044 77832\n35102 73764\n44039 65478\n53902 66705\n4134 44929\n57059 69343\n40744 66894\n18518 40857\n20445 31855\n896 42175\n20363 59070\n22148 76741\n12360 19472\n18662 45286\n72678 95274\n25786 91319\n28295 52941\n49799 85369\n49325 78323\n18346 89660\n59906 70900\n28532 95553\n2147 11620\n32328 75925\n14955 26684\n80305 87820\n35121 68431\n1941 49353\n60724 90846\n8488 60321\n14097 67735\n3466 88656\n20032 83897\n58181 89752\n22380 32058\n5602 28143\n57684 76067\n62554 69243\n837 73707\n8876 79263\n67773 89266\n35086 38222\n54712 92990\n15287 92956\n5425 31302\n80187 87855\n59089 93743\n13274 50585\n3261 47516\n24213 48734\n27517 27904\n49098 73453\n8174 18785\n57592 79453\n70005 71721\n4835 62303\n41272 87173\n32794 66900\n32315 57484\n53005 87764\n20788 85141\n63443 77105\n840 37314\n17825 75730\n75638 98842\n35772 44895\n80941 83453\n27437 87786\n18633 44578\n52166 86676\n23198 70428\n42561 77142\n17103 28337\n68540 94762\n5670 21249\n27684 42701\n83849 99611\n37534 57932\n44832 46514\n40960 96956\n11677 32765\n33784 58145\n18746 29432\n47794 74531\n54149 92930\n22672 92541\n24193 99372\n74308 81985\n85622 99565\n7589 90239\n75110 98099\n21375 70758\n59610 99289\n5867 76260\n60683 66722\n66680 84450\n18090 18852\n13929 99603\n69594 95882\n35360 77916\n33081 36242\n906 75613\n15865 84818\n45973 64377\n85143 93442\n28274 53972\n31646 46737\n17653 46019\n63293 78415\n20677 65197\n54820 72707\n26171 40329\n2308 39097\n7902 65308\n60239 81980\n11366 15119\n71380 88211\n7278 74570\n11360 34265\n13304 56373\n5592 32969\n33199 98776\n91852 92988\n23418 81163\n16620 93156\n15385 97718\n11646 41179\n2072 66736\n2717 22361\n88358 94707\n20342 54859\n55319 60210\n63871 70905\n50608 63272\n1648 89307\n32114 56322\n51703 85989\n21379 74641\n11255 36283\n19252 49208\n51362 79798\n85250 93859\n68486 69801\n26327 36020\n68562 70402\n1127 51495\n86373 97407\n84739 93180\n4751 44092\n11738 87375\n15031 74253\n30209 34086\n38489 77209\n9101 72500\n5015 68880\n9814 35632\n45866 58932\n22235 97340\n30711 92696\n38602 88569\n4710 61090\n25207 61841\n16038 34447\n4160 62129\n15595 34607\n53973 62744\n13212 52279\n43040 50454\n3074 91439\n737 74107\n55190 73989\n34186 39530\n6524 77302\n38728 97269\n53822 77869\n43779 58790\n34339 34382\n25774 63727\n18319 34245\n27088 71900\n54078 87915\n40942 97412\n85313 97845\n54474 59728\n9077 19944\n31520 98395\n16044 58388\n15991 62410\n39728 70159\n54404 95065\n15843 94081\n41010 97116\n19835 42316\n48387 57637\n51367 52476\n33564 36608\n31067 93511\n57019 70807\n75878 99184\n13948 83281\n16780 52151\n244 10472\n59852 69766\n3698 82831\n27142 82924\n55787 99784\n31386 87041\n29012 93433\n15294 76077\n17856 91534\n41860 88469\n37869 74791\n238 76386\n5912 34183\n5952 28451\n69175 78209\n20959 89775\n18869 93711\n74766 77908\n56565 69461\n49892 84643\n11554 70622\n828 16794\n37061 81809\n26519 34192\n76951 81518\n27661 60812\n26579 69001\n30375 79439\n10892 54096\n40720 46289\n18228 26261\n763 70053\n36622 62603\n5581 80137\n30878 56140\n34251 91395\n64582 84918\n29231 77121\n3622 25643\n10122 16965\n17480 37364\n72241 85973\n71701 71880\n25752 51558\n61707 89272\n53242 80246\n6536 32558\n23520 85732\n15824 18375\n5610 8944\n66709 97510\n42019 63788\n25060 41328\n88577 92454\n22479 93936\n27590 82121\n20349 90764\n18880 49611\n73752 92615\n66290 78346\n29986 62360\n43690 44276\n22153 82144\n91595 99073\n15432 19379\n7442 54793\n14432 89944\n75238 79886\n60138 89150\n1509 72766\n29679 89802\n9491 94027\n77703 88566\n19528 21244\n4360 90540\n11332 74668\n11301 22056\n4506 67257\n82022 83099\n27457 94441\n35705 57629\n33528 57667\n68364 80256\n41903 90247\n3982 14338\n54211 63979\n37810 45581\n16464 33588\n79586 83566\n84781 87318\n59452 92893\n34320 90529\n39776 77385\n78963 79628\n18554 31396\n56812 63633\n15214 58956\n74196 78600\n38767 89750\n1491 84122\n21714 29488\n7611 68021\n53907 95207\n15796 36802\n44835 60079\n8847 53217\n35577 88507\n14704 30714\n10634 86209\n26713 30964\n23621 24001\n13661 26585\n17479 54659\n44576 72337\n23341 77386\n68795 94595\n6898 47257\n30734 90454\n15649 69844\n26920 75945\n64899 85832\n23635 90038\n4407 37919\n48849 57699\n12751 90063\n58615 58767\n44069 95925\n49680 76962\n55448 56603\n46870 94831\n10115 95794\n9951 58313\n30249 35173\n32825 68097\n19479 90681\n56332 67033\n47395 57132\n50268 80992\n28819 93356\n34148 58689\n38401 55625\n24815 61887\n35383 91561\n81422 92874\n64416 99138\n9498 10281\n51693 79136\n19173 68038\n12197 44663\n4397 65951\n49026 58437\n55629 83703\n13941 67483\n25706 93991\n29017 84774\n29195 54887\n21382 73929\n58383 76930\n8901 68055\n29425 85774\n72139 76971\n1642 69474\n10378 84915\n55005 74237\n32615 70724\n68774 86684\n15090 41159\n26495 85765\n47342 53979\n40504 92343\n3464 65714\n31464 43304\n45318 51142\n30679 36027\n15399 80396\n23259 91877\n80108 94034\n827 51545\n6881 88837\n53703 90898\n2773 20636\n980 57149\n15192 67757\n80588 87898\n5728 25609\n19846 68339\n7798 63763\n25419 94667\n70941 74608\n2770 63556\n1925 80300\n8655 95305\n15763 45291\n68994 78555\n73057 84017\n431 24658\n17585 71924\n15071 41384\n43938 62592\n4125 52377\n56883 83666\n42655 78938\n38019 93014\n52214 76596\n19916 48252\n29421 54364\n50261 67328\n51227 56958\n40785 78303\n22052 99122\n20157 67197\n9484 94844\n32776 37376\n30896 42014\n29685 67528\n49964 59022\n25650 89538\n35243 91175\n15490 51878\n7787 8013\n46451 70996\n8559 69313\n21932 65966\n25800 68140\n46360 75272\n15682 86803\n40269 65831\n58817 74595\n26639 54192\n23733 45505\n5870 31181\n29869 60700\n40426 83847\n5254 82949\n69639 71410\n16120 65752\n14281 35354\n69391 90817\n50173 78805\n23574 84295\n46227 88486\n47555 64561\n63895 93522\n1501 82118\n21634 37165\n45307 66582\n21351 32207\n60930 67256\n43390 96553\n91492 95198\n9095 80576\n5865 74151\n42206 54560\n13673 36738\n21023 44616\n204 80572\n1212 94363\n23821 65958\n24740 95700\n82340 90406\n37167 83231\n66703 82484\n51050 52989\n48426 56090\n9511 86639\n17146 23902\n17023 92415\n21099 25615\n48876 58726\n28737 89732\n46988 61393\n36328 41555\n45716 57637\n51550 73428\n13493 94998\n5176 20483\n34752 37006\n57755 73169\n32200 58075\n38504 79625\n6375 22120\n58109 76898\n58040 97880\n33494 35946\n10774 68600\n10018 39123\n13024 14143\n78060 93665\n81835 82432\n11810 93745\n83034 85202\n62391 78594\n42832 82579\n40757 56584\n85856 94838\n44897 62808\n13917 45432\n17611 97087\n37061 53974\n25393 81619\n30896 97253\n43709 86964\n27941 74660\n60949 72342\n11692 51632\n27842 89358\n47967 87880\n8913 53450\n45317 60363\n77512 90004\n37545 73684\n77300 80262\n11522 75610\n49896 71573\n15519 20981\n4128 63965\n15470 37923\n25629 64375\n33382 80990\n846 59997\n29122 92249\n54928 68614\n59600 80286\n35864 58935\n18000 42557\n23237 88065\n88297 95847\n5306 64184\n19708 76312\n43279 68877\n37662 49006\n29300 91128\n16464 20732\n52917 82138\n36651 59057\n14868 36097\n69912 80855\n12721 72886\n52410 99869\n13566 16009\n78558 80491\n614 90929\n16708 42986\n14513 25656\n49634 52202\n90084 91149\n624 61946\n64410 75256\n49049 64584\n59283 94360\n49294 79940\n63805 64437\n59927 87240\n74502 91017\n77994 80969\n85557 88223\n42117 65510\n51382 92672\n66919 91917\n15467 82721\n47000 51924\n47627 72843\n17299 23658\n10129 74532\n18115 42805\n55331 64469\n15030 86603\n93442 97240\n3288 82690\n74830 82359\n27349 93877\n6531 27198\n61248 99897\n29017 89911\n8524 11827\n40472 80645\n7042 27700\n720 72461\n14382 40287\n80457 99457\n35183 45068\n34943 96200\n61046 67477\n19875 29961\n4549 94556\n61135 85778\n43447 93620\n56264 94684\n27088 58567\n28517 45578\n16634 93125\n31839 84496\n13041 88954\n11073 43282\n5411 80108\n11025 77887\n24157 32234\n70052 75930\n25228 93410\n684 66851\n31619 83831\n91478 99407\n7620 85259\n61827 96051\n8562 94198\n16806 38298\n44627 71555\n38796 73032\n25945 94998\n28497 83366\n89135 98179\n11925 55848\n28072 42371\n20114 70841\n15652 90752\n22377 26673\n73957 86631\n28402 54127\n28453 60668\n5258 46489\n28727 65931\n67756 82687\n58411 63188\n41618 98185\n39777 86070\n40203 43592\n17445 39672\n7306 13900\n35548 42444\n22948 32491\n46836 88042\n25265 63214\n4481 40334\n62139 82331\n71128 75336\n11437 49587\n62373 70109\n20555 60609\n33819 98767\n2285 55014\n5094 15901\n34258 69812\n26702 41169\n26746 52808\n30363 40146\n15873 94840\n87952 98200\n61881 77692\n26308 29479\n32066 95447\n29189 38347\n20343 27893\n83864 91385\n30440 56917\n14705 46857\n58952 63270\n43203 74015\n38604 99095\n23494 88506\n22754 33337\n60173 68462\n41652 78558\n2197 95616\n12088 55347\n47783 68439\n1257 61415\n67186 88146\n2049 31395\n4737 42324\n24985 35082\n19763 88235\n61697 99958\n4232 12732\n40700 67040\n23375 60196\n78857 97045\n55460 69040\n36232 61941\n11511 81716\n86066 87151\n20925 72776\n30607 42444\n8906 72615\n44558 57815\n22101 52753\n3543 6105\n6182 83338\n82462 91778\n43400 97961\n58895 81560\n13623 28454\n35474 65525\n23425 57905\n31226 91866\n12096 77977\n15825 76316\n63261 66210\n74044 98524\n25315 80646\n11052 59775\n30614 79645\n14518 65885\n63967 89612\n44192 71596\n59505 68885\n15887 92311\n765 34143\n2626 14677\n5056 39389\n50597 97479\n76872 94578\n955 6209\n15597 83636\n5211 25357\n5053 41665\n9691 10898\n66504 77854\n14342 89092\n42593 70799\n45768 95551\n48539 51936\n64006 71223\n9054 47583\n38685 81466\n4194 49016\n13018 32442\n36967 56399\n43755 87577\n23346 40850\n6922 18864\n24761 43709\n6576 66489\n90214 98042\n19115 75969\n2767 40728\n59657 63612\n27712 50743\n7905 69989\n5523 71732\n34612 62538\n39289 47575\n2242 23920\n50352 76835\n2170 48756\n33840 58755\n5715 46561\n60431 92360\n132 24781\n3632 16247\n31411 63519\n27915 57755\n18924 54437\n11482 66301\n32526 73567\n39512 81462\n13308 88328\n34724 99488\n2399 71020\n84704 97588\n17331 79617\n67975 96824\n7209 39669\n54624 92562\n81625 90937\n23891 99516\n6032 19382\n54680 87419\n72023 94722\n68356 96113\n1794 14318\n30551 42136\n69604 83415\n96146 98450\n29813 50205\n51239 88834\n47348 49561\n13105 82070\n84446 99790\n54764 62805\n53723 71500\n13916 96044\n7567 59713\n44923 46906\n54528 85863\n56546 92262\n11783 41374\n7703 31887\n16177 90456\n7479 50421\n5026 94583\n8794 74049\n76836 96431\n31139 61248\n26619 74474\n2258 68481\n46833 76918\n29030 87303\n5997 46273\n9612 68214\n35070 67434\n38833 73230\n4404 99648\n3647 77526\n18900 84308\n14920 31637\n38264 86831\n16058 29784\n11136 57877\n111 84718\n86533 98191\n28335 40693\n10038 37526\n44163 95519\n12620 81537\n38007 84436\n18987 24017\n5728 17614\n27793 68145\n22697 92685\n16987 25993\n9681 19987\n11277 35938\n1511 2310\n61803 87542\n39328 49923\n32810 47966\n76589 98177\n1244 54827\n2291 48740\n47336 87481\n19599 24033\n7685 69931\n37142 76924\n51791 99823\n7016 44672\n3415 49934\n38600 41678\n39359 65099\n35852 69926\n49108 99257\n56311 85349\n13293 81808\n82741 88103\n70213 93917\n28856 99140\n2217 71520\n63826 84124\n17883 72800\n23291 39875\n74062 80706\n61579 65044\n52166 59270\n82087 94840\n22843 33977\n86104 89769\n36010 73279\n17545 17913\n15312 42689\n36113 42414\n21645 78204\n15400 23764\n337 70492\n24014 83256\n14071 38490\n31842 91152\n52314 60892\n22192 64232\n17683 97008\n23948 66638\n45306 77066\n26405 39835\n14885 98373\n69021 91416\n42470 70243\n10083 78501\n41889 74953\n78598 92802\n34485 47074\n30389 43771\n28669 30872\n83897 90253\n60651 64957\n60508 82261\n13866 17333\n15315 99336\n33909 40899\n6487 21923\n54922 93359\n25710 49876\n8008 89257\n73746 89629\n26669 70428\n28206 42426\n36002 63522\n19189 97170\n7837 38011\n64643 86372\n21549 93692\n49536 75112\n73334 74329\n24946 74278\n42556 76063\n32124 61575\n2815 35708\n11839 58805\n54174 74775\n74401 81622\n10250 73138\n86620 93708\n75932 82888\n21206 99031\n94935 95457\n64336 81624\n8315 35391\n2010 31323\n30064 63045\n56290 65872\n49193 99784\n9417 99033\n47818 50247\n49091 60609\n3457 29408\n28192 94195\n20776 70280\n25864 90665\n19335 55552\n25469 87158\n45880 80313\n35998 42272\n17472 23627\n12079 91331\n3199 84917\n27234 59339\n77776 99388\n7686 89353\n33604 96416\n60708 92456\n32434 36037\n16906 95472\n453 89133\n7793 96180\n72687 95760\n56834 94145\n19563 55328\n19652 74300\n41725 86177\n6801 97463\n49938 69488\n29187 68592\n26859 81365\n3865 83096\n40315 99094\n18088 21002\n3043 63996\n67121 67590\n17851 39970\n7083 13009\n82874 99215\n56553 79637\n6897 18184\n41028 84318\n53951 99592\n5721 46417\n65784 72529\n10848 25931\n5960 39676\n22380 73450\n7415 65169\n25687 34999\n1265 45151\n22838 55487\n49681 54126\n11303 20479\n6349 90186\n4177 79350\n47765 69900\n12184 32921\n28944 74483\n29319 60530\n79416 88391\n37097 54331\n17590 40177\n31816 86222\n57139 75653\n18831 70662\n24129 56510\n59939 65783\n9150 73099\n15407 92617\n12043 20911\n28349 35840\n1751 58173\n15388 85243\n34778 51692\n27878 98057\n41821 65070\n67395 98451\n48385 51392\n24978 33589\n7319 40198\n27239 80473\n26205 76425\n28518 32465\n27128 28180\n28074 38731\n26456 78408\n45039 45949\n18297 83460\n10149 71584\n9241 34957\n41417 75868\n35146 43638\n25898 31280\n7321 62694\n74401 74598\n2286 27014\n14687 84730\n69541 95529\n33095 52908\n22567 27367\n249 11347\n42564 63554\n11207 52442\n6450 63692\n78141 81451\n49711 51174\n74081 96204\n9183 66346\n9399 82938\n15054 83750\n5833 67058\n42484 93983\n25816 82760\n11771 88816\n39492 96629\n64109 68600\n60755 84188\n18637 30692\n46066 46436\n58094 97284\n75762 88911\n12705 49991\n3063 95113\n4020 85901\n2702 57990\n13013 30548\n39641 42800\n17850 81800\n19184 85699\n64103 70005\n51831 59734\n44678 97060\n34174 76217\n9813 79921\n4138 16816\n33532 79204\n52205 98828\n20481 58456\n54216 62150\n16099 50351\n27143 43145\n20472 93024\n32783 83779\n23760 68990\n27524 72028\n13481 40175\n24046 84702\n14359 84510\n48689 57756\n17168 56714\n60042 81872\n20687 55839\n83821 94229\n1641 58435\n1754 64223\n92408 98779\n5173 92247\n52999 55276\n25054 80330\n44564 86847\n34061 82837\n1847 75912\n70507 80946\n75215 98257\n5810 47116\n63756 84382\n10017 30073\n17116 53696\n61064 64129\n79644 98747\n48962 56118\n74003 89387\n58305 96876\n26478 43711\n9023 49341\n54486 65259\n13514 70596\n12354 45269\n29102 56033\n65233 94284\n25765 92232\n60703 90471\n40680 75322\n47103 52089\n33461 68299\n20795 21303\n85049 85633\n62842 86931\n27349 35167\n6385 46221\n2098 64814\n15752 66404\n20987 44054\n64859 98976\n33599 67902\n42811 98996\n15025 25706\n32766 84372\n27900 74329\n46782 57757\n8770 89518\n35240 58225\n74684 89406\n4393 83111\n7735 27116\n25831 90195\n5232 20723\n17231 76532\n71734 73357\n36505 70121\n16589 58818\n14 48465\n49755 60060\n69441 86736\n1504 90267\n3167 17074\n34382 53959\n25983 56507\n39415 72348\n14152 14643\n24674 54071\n78666 98150\n16484 70693\n30359 43395\n23499 63351\n49554 76911\n32496 57213\n8580 24516\n61544 79698\n336 89948\n70750 99998\n13013 49139\n53139 62468\n5267 59184\n30625 81582\n16203 31276\n39260 81139\n6587 13149\n11339 19006\n24972 85553\n33354 41301\n5352 92225\n66961 81157\n68820 90280\n45693 64635\n18646 54585\n81262 92307\n59127 59753\n57157 81558\n10840 30034\n35486 48010\n89792 97013\n39778 99649\n82244 97195\n69166 69760\n47970 72072\n5469 17059\n43258 69811\n53626 89569\n32407 68325\n39134 84166\n71325 98615\n23340 42675\n5116 21969\n39306 85685\n17206 35603\n37370 37764\n25729 45009\n57790 92454\n20804 59709\n48069 98973\n28939 54805\n25169 41452\n82064 84721\n7833 68403\n50039 83385\n51845 64766\n61327 75281\n12912 82293\n44449 71318\n52737 73268\n75796 97650\n74051 94485\n1158 62952\n58543 60325\n73513 89088\n44695 94708\n37330 77921\n10798 21083\n50495 52504\n29158 94081\n53672 59944\n31089 84679\n7128 39917\n2910 29726\n57351 61543\n33354 44949\n74815 78785\n65629 82690\n44359 65700\n57808 61888\n58866 85458\n55400 82827\n9732 10740\n19706 28531\n23524 63194\n46352 90564\n36666 74180\n29479 52320\n2223 29780\n94160 96814\n39533 95405\n60958 64651\n27559 38458\n99668 99703\n69950 98760\n24517 43167\n12427 65437\n43153 45600\n75563 97715\n69238 97582\n11832 27572\n11344 71440\n28233 78003\n14388 44164\n73471 79632\n52850 96049\n82016 98403\n25049 83768\n21519 50743\n13880 80735\n64247 88749\n32153 57374\n22396 59225\n60756 88436\n10059 21878\n65578 78703\n20882 32268\n41236 71922\n52205 97215\n40562 86412\n12174 84797\n78299 82946\n9265 31529\n30888 39000\n22647 55494\n28534 65855\n59429 63470\n22595 56230\n86857 99911\n60028 98979\n29454 46630\n12824 48046\n64041 96022\n42859 53331\n13115 55454\n30304 63133\n73179 81291\n10659 90366\n48800 58991\n52790 62953\n62932 96115\n9247 27721\n54571 95556\n85088 97428\n41283 55043\n5712 68227\n19750 33169\n12996 64513\n26781 86130\n85603 94150\n14769 29057\n63384 96425\n27543 80948\n77886 78328\n21329 28572\n36473 40000\n12438 40594\n58 5098\n20512 26387\n58552 90801\n75487 97634\n65957 99943\n51122 59996\n56543 85079\n49385 51406\n35110 53107\n50566 58569\n35796 75928\n4159 73817\n86532 95864\n7942 37684\n49506 66759\n60166 74555\n21389 55265\n6810 75421\n18070 47345\n7152 94367\n51027 90505\n24238 75228\n59030 90008\n72901 80845\n16556 60774\n22871 94996\n22863 30347\n8790 52701\n23291 81267\n14281 29925\n35320 93391\n43058 91222\n57870 85654\n4187 90317\n48307 55716\n42594 75975\n80607 99928\n86716 88018\n28119 36325\n8813 54689\n11819 51962\n47361 61775\n15170 97996\n70257 83326\n18069 50609\n4387 30190\n2131 8857\n64889 84620\n1846 98924\n40008 68917\n38594 48481\n42310 85703\n10980 23289\n56003 74070\n33771 85234\n16006 97719\n74993 75704\n73468 95150\n17567 58726\n42756 90911\n50004 50023\n69922 81874\n30654 94788\n33544 46552\n13142 26129\n19206 19253\n63749 97732\n23672 76769\n81952 99122\n69509 91484\n22528 39114\n22256 30397\n21874 22086\n67827 96567\n57665 60685\n43448 75445\n27193 31462\n75848 92139\n25483 28605\n58355 92297\n2283 14001\n53145 96392\n48896 64618\n1061 23100\n50632 97714\n3686 21570\n20256 42355\n6826 90231\n60253 75415\n23939 81838\n2345 16057\n25199 42453\n25963 50203\n11426 77743\n5252 54848\n34620 47979\n30461 82024\n1531 52972\n58113 96339\n70143 92020\n107 19464\n39104 46872\n25215 42324\n5210 72621\n26163 32050\n33317 68095\n63044 72476\n13442 63759\n25467 34107\n67235 76488\n18592 25295\n25695 35076\n70653 89872\n11888 85845\n8707 11944\n68770 73211\n20366 37081\n3812 45083\n49479 93356\n43258 75962\n24851 33541\n22067 64335\n40556 59833\n54322 93990\n17352 55110\n11182 48790\n21407 41751\n45470 98421\n12065 84610\n90853 98138\n1337 49647\n54712 92366\n15632 81697\n25595 32912\n523 52849\n49470 61198\n34616 61102\n14535 39465\n36239 92357\n32100 37507\n7746 30051\n15008 68867\n14232 44063\n25830 80220\n44674 90319\n29744 59163\n75666 79806\n29170 74185\n3344 98521\n37532 49134\n58027 77737\n45914 92807\n35665 64679\n57535 68403\n82271 92011\n2539 42682\n59109 83082\n39759 71346\n16633 38206\n50569 72960\n4384 30874\n25161 73113\n60119 86750\n11430 41632\n41146 79195\n94495 98268\n16017 25084\n41241 48551\n17494 40613\n20206 89758\n68649 81386\n58384 69556\n37464 51294\n33153 65144\n44831 64760\n12598 69663\n23590 65429\n16045 85608\n7946 92254\n29466 57030\n4018 99930\n7356 66483\n2218 53424\n10970 35848\n5918 59790\n34398 73055\n341 46555\n7726 71065\n33387 37109\n34512 79719\n64483 86527\n40299 80146\n53933 57813\n31743 45438\n4316 50123\n23497 85498\n12034 13722\n4839 43512\n4199 12152\n9745 34552\n187 12527\n48 62580\n31872 51538\n16 86674\n58425 67953\n6489 80783\n78564 92227\n21573 72316\n67347 98304\n47833 54788\n42094 65696\n38552 91515\n9383 62019\n80820 97073\n69075 88682\n46322 54537\n20686 32677\n83602 90242\n4207 39399\n47499 59552\n9763 64119\n44343 88251\n33257 60663\n21041 54061\n133 976\n42450 79879\n32326 61410\n12763 35040\n56084 82040\n50765 98670\n53045 66669\n5525 55886\n15508 52399\n26353 34102\n4058 23808\n19311 46298\n14589 21681\n37675 57752\n14095 92253\n68767 69488\n3650 56962\n77179 89265\n19311 37558\n22831 62729\n21410 89516\n11894 33054\n13764 58622\n39308 85204\n16187 92864\n444 96429\n7623 89668\n9078 83665\n27638 45773\n64763 97624\n35343 70674\n9096 30516\n86790 96293\n41134 89711\n33321 72625\n18039 49284\n33860 96279\n44312 70903\n28577 68971\n52206 64687\n46882 68176\n19503 47668\n4012 55376\n26842 99566\n39766 41417\n38502 92833\n40217 65063\n43983 58352\n38270 62305\n26828 88955\n54150 78665\n41695 83362\n65275 92336\n19365 53716\n15720 26845\n941 6392\n8717 45847\n23990 33840\n5762 19419\n14778 38529\n18095 47100\n60656 77991\n68441 92819\n18088 19497\n27389 58552\n9594 23167\n39237 75144\n19870 75166\n15823 74834\n69619 88295\n77695 83674\n12677 43407\n13048 35834\n38303 80691\n24613 93164\n6189 62548\n1618 50654\n11218 55480\n38917 89323\n907 97107\n19383 37010\n31164 47525\n28006 54658\n11033 78878\n33341 61786\n72448 72753\n40075 87805\n25568 66096\n12019 58047\n2391 73798\n25226 27122\n53354 71500\n15040 48539\n75002 91656\n39747 57621\n22671 55251\n34142 51911\n59625 92858\n35119 54288\n38477 50443\n40447 64320\n10294 52687\n46026 77781\n14620 92762\n19471 22521\n60448 92254\n1676 68599\n62796 94088\n27927 49497\n24502 25621\n7942 19531\n57764 95361\n4731 30589\n10275 24960\n17913 59172\n38537 66019\n70238 83956\n5733 9081\n33987 85197\n9928 15817\n83892 91571\n15829 76229\n77533 95696\n21691 62259\n30068 48069\n17133 21500\n35429 77647\n46024 48649\n47489 95169\n50401 84165\n30496 59764\n36565 94198\n26271 96970\n12372 44265\n10370 81309\n36826 79563\n15108 16842\n60164 81030\n38308 41845\n12523 12735\n1404 67904\n18535 50885\n57423 88309\n19982 46224\n64145 92921\n19794 82315\n37792 91699\n52244 93977\n12174 59402\n4663 68712\n46922 56233\n39222 93660\n1032 47864\n18601 54003\n41832 94380\n13873 17220\n17480 21261\n16456 91642\n14439 35207\n91288 97052\n74961 81309\n15191 73825\n17213 71592\n8515 63318\n27242 30012\n64620 68053\n20633 86444\n13044 53766\n46395 65290\n18500 49148\n13736 31203\n17240 48279\n92686 98534\n21228 95729\n30495 82279\n38087 83863\n17617 62651\n59613 93679\n64830 70974\n51358 79716\n61797 84275\n6659 68847\n24095 38619\n27513 75389\n3666 18138\n67006 97324\n46149 68447\n70246 90019\n63394 72790\n20945 75901\n27273 49580\n30008 49256\n30518 96727\n61343 67576\n34248 67263\n53161 77260\n11217 50089\n50651 91956\n60426 96441\n7632 24820\n39558 74727\n67080 86235\n5951 11749\n57395 75143\n73893 75089\n51965 98293\n45700 94016\n5190 22776\n35520 95471\n3044 82569\n30075 85506\n8312 99803\n419 47614\n50911 62893\n65219 83594\n53182 65081\n5369 42898\n59028 98167\n41951 70298\n34101 55096\n35619 63503\n3518 82958\n8289 66218\n11287 56130\n8473 52681\n24181 96248\n15023 40513\n70981 86057\n43056 76915\n41302 93720\n4601 15476\n23537 40685\n3507 47238\n26281 41069\n761 60129\n21866 61450\n45306 98857\n30185 35468\n19446 26669\n11891 79134\n8559 97709\n63238 67093\n76085 89445\n28665 50583\n32650 68406\n20683 51160\n68069 85509\n11396 26257\n48447 50590\n12107 20116\n6260 91394\n33696 59373\n19698 21482\n31459 39593\n58687 79841\n46371 74535\n84458 96891\n52123 52566\n44494 82205\n13611 23381\n3442 85983\n68974 72139\n68533 71892\n7167 30597\n26976 71855\n7793 38354\n19782 38750\n27854 28274\n31147 79693\n17495 23081\n79608 85396\n31378 59390\n18475 94341\n40971 97303\n71588 89620\n56788 71136\n3248 15146\n55948 91738\n39131 40195\n50266 50987\n2961 26676\n9232 9528\n41771 96467\n80404 84302\n36323 78184\n18539 86309\n4226 88675\n18875 89581\n87198 87215\n58430 63124\n11887 51830\n31174 91595\n40708 90121\n38978 83733\n32686 70783\n28910 75076\n26069 69425\n43837 50583\n53270 93645\n3061 41367\n47070 68028\n53120 65371\n83824 96085\n13305 99104\n39089 57737\n32806 99979\n66866 84094\n59333 95219\n62583 79344\n45674 87145\n8133 49396\n11569 94019\n3837 18704\n50225 56428\n21654 30812\n56982 88983\n66576 69580\n9882 17951\n4330 53021\n29159 82292\n48203 89054\n11190 55370\n35447 44814\n22645 86715\n24562 76938\n13857 39927\n6482 62592\n6120 15195\n45483 84050\n74942 86999\n25736 81922\n96192 98638\n14388 71497\n39687 81986\n59860 98949\n42769 53289\n4225 27106\n39438 86303\n37156 65487\n40725 90227\n35116 80376\n52618 90602\n33021 34119\n25338 78306\n30413 35863\n2068 57184\n36964 87852\n16506 85242\n44434 93658\n46748 68974\n25578 89903\n32173 47271\n50127 71698\n42872 51920\n6613 38317\n26878 57395\n53580 77405\n53353 73185\n11125 69133\n5341 73676\n4931 14265\n57553 98317\n76284 82757\n51713 76216\n69235 93474\n20380 78386\n34509 94688\n45738 82022\n13844 64526\n9542 36765\n58684 93322\n47901 96514\n17443 85234\n24720 69229\n22491 26004\n23725 87603\n19459 69350\n21369 96721\n1907 50234\n29541 47926\n37198 84692\n25252 92106\n65031 80708\n31025 95368\n8328 94367\n34817 57163\n31761 71397\n47039 70922\n14541 63241\n71171 97755\n21177 53347\n649 64186\n73769 98839\n5300 69485\n53121 81295\n9234 89179\n8706 70699\n23482 51977\n91421 91930\n60440 65237\n12957 25858\n63452 87574\n11834 37963\n35591 45459\n9728 18453\n27697 93712\n7200 62146\n43530 74157\n26848 88314\n32384 32995\n8076 35316\n76805 80522\n7640 40301\n64816 77722\n8052 35230\n20063 72680\n331 27776\n25191 50846\n22227 43250\n16937 19776\n30149 89314\n36758 43450\n1095 83093\n11863 16278\n81388 85634\n2848 55931\n58533 87949\n41786 50168\n31942 44293\n17318 34177\n21269 99204\n47294 68535\n93917 97929\n79377 90483\n13164 52450\n25501 35601\n76932 83998\n9831 74109\n58238 81762\n1496 66675\n1860 90180\n69471 78664\n10458 26167\n5807 11586\n16004 30129\n24962 68276\n59929 68172\n17453 91027\n19949 49344\n77924 87316\n43737 79459\n76533 83724\n23567 55049\n75289 85853\n5499 12751\n66692 67652\n53448 66588\n37501 95412\n851 21625\n21811 66038\n21184 70253\n20233 88339\n11272 31284\n1814 28920\n19358 24063\n20297 23320\n3280 69268\n85004 85295\n57166 76830\n27131 72219\n62734 98589\n18076 44562\n76777 92826\n17604 36341\n39395 46438\n29460 99127\n23192 62674\n39942 91635\n73120 88625\n56948 79673\n23693 59144\n37567 40652\n77829 80152\n38708 77549\n56485 92030\n7745 32328\n24138 60628\n27411 94824\n74105 98265\n36511 60238\n50122 83808\n7373 10289\n42363 47402\n17886 62886\n17820 83292\n551 52657\n23283 80284\n12633 84866\n63960 66664\n14865 52897\n34082 62078\n46699 94617\n21062 77862\n61250 64802\n77849 87359\n7993 44730\n38813 96245\n79033 93385\n7444 58308\n14916 83378\n23638 79932\n31372 86352\n20912 40862\n1101 69181\n4849 35272\n61961 71390\n1054 84473\n40587 44084\n32381 53386\n52773 79036\n58245 91291\n37916 55611\n36646 98143\n35654 60963\n18832 94143\n42197 86695\n66990 77103\n32393 77828\n49952 71887\n13835 88742\n17611 25748\n81711 88811\n21570 36345\n36868 40040\n65369 73217\n4677 78415\n27811 91987\n10358 71487\n61508 82607\n64952 82101\n7481 47060\n41618 48239\n33289 98986\n19471 97877\n5108 48100\n2442 39365\n22194 49605\n27734 61973\n816 47474\n394 31640\n18797 68856\n29075 57692\n15041 16424\n13903 79386\n23164 68868\n71131 74541\n57242 79078\n14091 62837\n44183 95020\n82505 86764\n34701 92469\n19864 29768\n3766 71803\n12102 49916\n13151 69234\n16972 28623\n74519 81305\n52969 62675\n13665 49867\n9750 31087\n9146 50832\n54831 90851\n2115 59077\n29328 95883\n19379 48189\n11756 94164\n85880 87865\n23297 61592\n22752 51228\n53433 95160\n36871 82888\n27311 85778\n48925 57430\n3762 47523\n54488 56498\n73781 95789\n12715 34041\n1216 15359\n31822 68679\n56695 87280\n34522 98570\n59469 98729\n54174 90370\n55828 76959\n56918 69222\n6307 77282\n23516 27409\n25727 98729\n58704 59945\n84923 92965\n22966 31592\n47883 88157\n77530 79850\n71137 88952\n1966 48665\n36875 58024\n6631 54131\n2887 25645\n33916 64672\n5622 10859\n10211 73714\n53763 77633\n12291 61098\n10443 86780\n76548 83972\n59074 94340\n19114 80409\n64923 94408\n9245 87478\n53510 91345\n48890 76537\n72138 78303\n39434 71182\n49366 77510\n35872 96470\n26805 85043\n13601 55764\n49672 74454\n39645 46067\n21231 87999\n38219 77651\n29415 61110\n1689 44352\n31544 35954\n53162 85154\n10990 30485\n4763 12595\n15794 74429\n50043 73037\n8152 46157\n12955 71599\n34309 87358\n61188 89861\n10244 79529\n59302 90280\n28672 70353\n49570 50006\n58873 78673\n87509 93394\n14631 85413\n77533 89073\n11602 45760\n15184 32045\n6310 93942\n66838 96245\n66202 74473\n1153 9703\n61031 68108\n18158 89375\n74998 80347\n61111 82248\n5687 47491\n72822 84187\n54141 69943\n56671 89452\n47986 57754\n74624 83600\n31730 58961\n13540 21619\n4768 67915\n18641 26827\n38958 85602\n36795 70891\n13972 69108\n49497 97208\n19570 88652\n50071 71076\n37292 91745\n63799 76329\n788 16926\n11099 54016\n21371 25250\n43794 91909\n28904 88615\n47206 96583\n9419 18967\n2300 67401\n70717 77051\n15513 76145\n5222 35178\n10843 86644\n85256 86618\n50399 70687\n11304 65721\n42064 86460\n29294 82539\n2174 37790\n38456 84110\n21831 92248\n7803 71415\n63734 69434\n9723 40236\n29957 43819\n2209 12514\n64533 94110\n28066 88913\n14467 31315\n43686 86119\n48322 62267\n79631 94015\n34579 44209\n47426 83071\n22182 73414\n44745 57011\n15937 86600\n30859 45050\n27375 56383\n19896 29160\n56394 98682\n11522 58970\n15052 66207\n76861 97467\n16223 96996\n35827 89876\n61251 84855\n40623 98062\n44271 91532\n69936 85290\n40740 87528\n80538 84502\n26042 47375\n29972 84231\n51103 54352\n47137 64695\n67058 73543\n75000 92777\n65596 96021\n33880 56685\n52108 98928\n33506 87902\n36698 77686\n24727 28677\n7101 77689\n33703 86603\n26663 42068\n53291 59617\n40428 95481\n4752 40917\n4121 7555\n38209 57086\n72098 91492\n46795 88758\n5771 42516\n40767 48092\n16116 77908\n4622 41884\n3053 74409\n61635 79668\n44226 79867\n48675 72871\n14547 81559\n330 3105\n48154 70426\n21693 53357\n17519 61270\n64048 71636\n65614 98307\n39933 50303\n16439 89956\n79512 88690\n83457 87700\n79668 91478\n27602 41996\n37427 47702\n76226 96749\n46932 99558\n27386 61827\n34027 50743\n24100 55794\n41045 48744\n42246 79208\n16269 90438\n85239 93849\n57358 78913\n78088 96608\n11557 26419\n21436 99583\n9702 83574\n40592 94328\n56958 77252\n17671 27795\n73263 97095\n5742 49611\n47564 91865\n8923 76355\n25658 28417\n43783 64706\n46800 77340\n13509 72582\n42682 58596\n31949 88606\n43852 47011\n39406 62415\n38590 84163\n16474 59822\n11051 80275\n15119 42124\n52151 67664\n77608 99955\n47494 93945\n27912 75962\n49495 90660\n7727 77949\n54959 81851\n30799 76558\n16516 38634\n14637 17910\n17982 60833\n16314 33957\n57497 59854\n59093 60812\n92376 94268\n20941 43735\n58729 99793\n6934 35982\n4887 95876\n45645 49366\n14442 91017\n2384 16829\n6458 48795\n2017 3724\n73698 82094\n51147 82641\n229 33770\n27131 47906\n39015 54980\n11151 82578\n78997 98306\n7090 30629\n53999 81539\n25926 71848\n66002 88392\n44998 54498\n33845 41431\n7004 96761\n4635 28607\n39344 63222\n68911 86227\n41857 48440\n39365 93681\n356 49326\n2009 11823\n53345 72551\n12390 74936\n11177 83048\n23397 86984\n29999 52232\n9284 30003\n38268 82307\n51730 68376\n46198 62297\n43244 65535\n50673 72216\n79950 91850\n60643 76496\n30041 37079\n9932 16991\n12926 98774\n33332 53620\n31534 59967\n82153 92821\n35658 68903\n37340 87290\n24844 91423\n22193 45978\n15260 76878\n54195 68724\n78218 84237\n2608 66092\n22737 45710\n15800 89341\n55754 59495\n9261 88911\n18680 79039\n132 46636\n11370 79805\n59184 85629\n356 10645\n75192 81882\n43560 78266\n24517 34440\n19090 66009\n4047 4151\n84155 91712\n22331 99297\n35457 74811\n63972 78137\n1416 44707\n32758 34239\n9192 40039\n24869 68551\n2200 89436\n724 7569\n17130 62454\n5076 55194\n40490 79905\n85790 90712\n82475 96595\n47181 86160\n65022 86397\n5601 21593\n7709 88312\n8788 99221\n88305 89949\n25275 42061\n13328 53532\n14654 30835\n30798 74266\n7192 54067\n24956 44912\n4758 65726\n49591 52013\n31624 77765\n56582 94800\n41005 97121\n39972 42803\n59642 60776\n22266 50384\n22184 93301\n30797 41542\n30185 74135\n913 9355\n8189 13237\n17725 47090\n12351 73820\n10885 61991\n30212 60187\n33590 55406\n29205 35480\n27806 37942\n46992 97328\n95434 96057\n12753 15383\n90741 95059\n41993 57742\n63926 93615\n24164 80429\n4797 88129\n27584 68093\n79610 96247\n13361 64658\n20427 59522\n12800 70797\n48097 85796\n5628 8686\n10672 71073\n53214 78948\n1346 98627\n20495 29434\n44854 98160\n76147 90032\n15693 98216\n88661 94120\n56520 58394\n64810 78937\n51638 61649\n11132 57116\n55362 64280\n69633 86282\n61870 83730\n13425 99613\n39691 46161\n30799 91885\n64056 74324\n33030 61964\n43964 93419\n6800 62465\n43664 59097\n46921 75873\n23922 29889\n34131 84730\n35748 49084\n37619 68083\n38459 76579\n33322 93638\n15765 39618\n28839 56762\n20629 25202\n73116 95106\n1806 16222\n16005 75505\n5788 69331\n21117 75777\n39737 66113\n26915 36636\n19689 68582\n13303 79074\n26903 39038\n44699 71545\n4728 66068\n25907 80500\n25830 94543\n53485 65164\n3278 56428\n18369 99075\n54128 85425\n29155 37643\n7848 83149\n33222 65187\n65681 83051\n16987 70143\n73100 98595\n62286 80328\n24632 50697\n47642 64785\n40626 99601\n3505 26980\n87798 95715\n40306 86807\n40252 98243\n83289 96147\n31968 58402\n5027 97830\n37919 98289\n28594 86784\n8317 12433\n26562 51224\n19193 25126\n38403 81945\n42332 81200\n63557 70958\n5441 83898\n27040 35501\n49440 88470\n12335 19406\n24503 70067\n38537 67368\n61654 90215\n25956 88857\n40394 57877\n47741 77482\n40715 41142\n43182 75706\n48100 70113\n15689 76081\n2253 78864\n71309 78492\n68400 79080\n27861 52632\n24026 86417\n49827 81187\n40510 64549\n51999 84174\n54129 91664\n70312 87590\n81521 87481\n7139 79596\n18017 38361\n42919 90046\n30489 32747\n23703 28396\n45746 72264\n17069 59253\n16671 96999\n15339 48338\n19987 54055\n12385 36606\n67433 79742\n79744 99048\n78867 84270\n48357 59406\n13831 73912\n3695 7514\n6031 80340\n8997 58561\n9261 39734\n44717 91883\n51174 93801\n6728 80375\n18467 58368\n15252 57931\n5106 82633\n46112 89625\n37068 92567\n32404 81551\n17625 62275\n9237 80470\n2444 95644\n51175 73212\n30326 57498\n11161 24596\n7259 30113\n12255 66403\n31367 76232\n11072 49719\n15815 71326\n81932 83075\n39654 51896\n58900 96575\n13159 98498\n36360 79638\n29478 54967\n43199 84467\n15130 64647\n76863 91860\n63907 65837\n15365 28864\n37929 78071\n25148 83975\n56166 90239\n8823 95963\n59155 70084\n56314 94546\n83329 94179\n19410 21097\n43360 95688\n74817 91057\n72082 92729\n65638 92521\n40428 54404\n57679 73153\n32928 48949\n27691 75929\n52891 70017\n92605 95915\n24298 65594\n19955 31479\n29231 87941\n53985 57810\n21972 22325\n29433 65058\n37008 47914\n32794 78230\n12688 49406\n19929 66765\n14087 60339\n44548 86534\n21820 61949\n79775 82846\n68736 93268\n35974 50954\n60232 64936\n3461 80018\n29645 44483\n63917 90345\n5973 15662\n21631 74509\n6867 31016\n39980 43981\n12429 47155\n9441 57294\n1059 40970\n58177 92059\n36346 79262\n46190 97841\n22256 81233\n30142 71023\n1338 43743\n19651 56833\n45730 66054\n8393 86552\n43504 75526\n61124 98752\n46608 67107\n61637 92886\n37346 70324\n12213 51882\n46432 84714\n33268 60446\n70777 97440\n30303 73691\n64909 88717\n41874 69154\n4364 31481\n2804 40178\n82396 99444\n28843 44062\n5608 8213\n45543 97586\n37393 67357\n47861 57037\n16592 45186\n29265 62031\n16396 93207\n53990 76943\n53541 74090\n15732 40663\n51728 67027\n38631 49870\n43811 87389\n29406 69848\n22552 48025\n41991 98763\n11515 24074\n20747 89168\n16556 96582\n14604 40780\n1214 36241\n11024 44156\n6025 32375\n18875 38222\n7243 69851\n5930 52982\n81620 97608\n25866 66721\n45637 55902\n2800 29700\n37204 51469\n48407 72698\n56453 72350\n31010 42482\n25287 89878\n35309 61766\n16663 57497\n18922 23919\n2265 84269\n1037 94270\n66234 89159\n36082 75153\n38647 89481\n16452 80866\n23612 66437\n10019 90745\n51530 67172\n3848 42784\n35693 54272\n22110 44691\n2815 46564\n2900 29213\n19755 21582\n6399 25198\n7576 36492\n46732 51478\n89650 90148\n16123 36310\n2168 59890\n67602 70249\n18362 83626\n48494 99912\n35587 51281\n18211 89199\n4543 35074\n11641 59957\n33051 59825\n83989 85763\n44047 90726\n28729 65508\n33907 36294\n65132 93066\n62200 83706\n33795 65946\n5489 80540\n48715 55596\n40284 97959\n60910 95587\n71118 99655\n29149 60052\n26802 96240\n60060 85925\n13246 38537\n7373 99146\n51552 68756\n76610 77562\n38072 45568\n16640 61106\n33443 42399\n21162 55454\n57074 68594\n43103 62248\n28996 58352\n32351 61361\n32827 68704\n35117 66640\n55584 94804\n66633 86008\n45154 60932\n56793 76810\n45999 84573\n40479 82427\n9817 14412\n19404 97604\n72167 75795\n57172 80750\n13745 50318\n33919 60095\n7542 85736\n32444 64374\n6201 53112\n52455 95444\n74296 93415\n8070 41146\n34388 62853\n45200 85770\n12350 62754\n72059 73783\n15118 17827\n46665 48995\n27015 34521\n15002 67130\n1952 49377\n71263 98176\n28327 95040\n21551 36747\n46567 98188\n18639 71686\n43566 88748\n46686 53939\n56491 64642\n20128 43078\n169 60795\n2283 18540\n32338 93362\n33498 61853\n71633 79701\n35506 95735\n21187 72345\n6407 76311\n51647 84759\n74218 82455\n10728 17546\n42757 82888\n25456 93418\n15973 27554\n19563 60775\n20637 22046\n24118 67060\n2157 75229\n11669 67611\n44318 85922\n12334 94910\n32830 51754\n44464 66644\n1455 21365\n32516 99715\n30926 94598\n8703 25672\n1125 13445\n36903 58982\n42311 56394\n49431 70387\n25182 95100\n77608 82230\n4156 61055\n48580 96646\n28797 96768\n29150 59434\n75923 76001\n57826 88030\n10972 88400\n4220 76917\n26450 89356\n45521 47111\n40817 69251\n59507 84557\n35679 89207\n8746 50568\n42291 86470\n5887 58138\n70330 77628\n5339 35754\n43042 88899\n25684 77223\n6299 16346\n24947 91617\n10140 43908\n48370 85868\n8376 78646\n29235 93024\n17683 44211\n9504 24716\n51624 98854\n23338 30882\n92019 94040\n18779 26608\n15358 75260\n74945 79191\n68490 94346\n32673 74565\n11469 59265\n15128 41775\n4329 4981\n79503 89044\n45622 84058\n20201 33184\n6332 14490\n39869 80957\n41067 77009\n46258 70832\n19594 30820\n3580 27473\n48583 83470\n14605 87172\n29568 97730\n9911 57589\n34724 96389\n51451 63580\n61068 69050\n79055 84165\n37010 78884\n68118 71880\n29003 50979\n6524 53591\n2093 73283\n9800 89181\n28154 97730\n40235 88161\n33655 47804\n4467 8681\n39007 75943\n4294 67181\n65967 93195\n33161 34155\n6537 68693\n9387 98055\n44637 75096\n22457 95078\n15643 22971\n2172 15905\n14523 35020\n12072 96127\n20971 38567\n377 60825\n36224 42689\n22309 33327\n42092 59408\n19325 62218\n26809 94475\n77701 91580\n51269 64793\n22325 59396\n21610 95347\n57060 87050\n57239 88312\n1895 65845\n1709 63026\n84188 98927\n31714 82179\n77535 81049\n58864 86001\n10016 81660\n16986 48790\n15517 87594\n21916 75554\n37362 62414\n5487 52266\n40114 54178\n12921 35466\n4624 24096\n17194 66025\n40983 42575\n41315 70669\n66419 88416\n61842 96830\n17103 75849\n8444 42927\n3590 68782\n38177 96572\n45934 62603\n5898 51033\n14654 23207\n86899 95578\n16251 53687\n78671 86497\n64632 72139\n43738 71584\n1646 4784\n27735 91481\n18956 23845\n39453 69966\n13878 62200\n15039 57958\n21490 50500\n45151 89106\n44545 55111\n45215 96380\n38430 89178\n50576 81231\n91217 99352\n60413 83858\n35564 53895\n66973 82497\n3101 32437\n53946 97940\n6208 60555\n16763 39946\n26209 50528\n4460 71746\n34506 69388\n59449 93855\n13121 29096\n56359 95566\n62048 79225\n38408 90181\n26849 26934\n18948 23471\n1920 3938\n6048 8229\n52386 55077\n56312 95156\n48159 60246\n57580 77659\n17931 74819\n9763 23481\n28680 99775\n8021 81769\n37936 63123\n16077 95756\n66773 73987\n69728 85988\n1215 21501\n33940 60619\n20072 34037\n20693 58312\n30304 61377\n18955 56229\n55189 80048\n2319 59845\n79975 99303\n25874 85439\n57579 87104\n78804 99615\n4556 97761\n21776 78627\n6515 69737\n24129 59226\n52521 53287\n54918 71580\n46193 46741\n17270 67781\n73665 88800\n25308 40093\n46932 82832\n340 71929\n478 44297\n7182 19832\n7979 16747\n33248 34472\n8461 63256\n12458 46322\n32980 35146\n89530 90924\n44236 76067\n48049 68443\n34811 67266\n57027 85049\n15522 41542\n77225 99357\n5086 86177\n892 49208\n48 93179\n9860 98985\n1861 54651\n20120 45752\n60149 69723\n31044 45541\n10220 75209\n16222 71109\n38298 49143\n42616 66104\n1768 63331\n8062 69353\n1453 43382\n19537 30182\n7676 10826\n2626 76688\n31005 96487\n14725 89886\n59774 78050\n44589 45074\n44121 62611\n35415 45216\n18033 87877\n30497 97643\n21501 92187\n6726 46241\n25828 59030\n54508 55162\n43418 91931\n4888 42914\n66138 88625\n17502 61570\n20589 32870\n30689 43809\n27711 30822\n56387 56942\n12861 61628\n54962 85169\n5388 25442\n12606 57357\n76978 92998\n64829 96980\n56530 96339\n6278 89628\n8756 55755\n50914 64956\n52472 69115\n53699 97036\n2056 74084\n8783 72313\n5743 35796\n34527 65354\n12468 73064\n42979 93507\n20285 55346\n29737 81814\n3527 95533\n81783 89958\n34967 67740\n33259 53426\n23466 25857\n7381 56028\n44054 91143\n40408 67672\n48108 59627\n38402 66121\n21914 58485\n2150 25089\n25837 72157\n23913 85569\n20006 94921\n76323 94425\n40047 45439\n23846 50097\n5154 67951\n10656 42413\n37265 74247\n18093 39100\n12883 29502\n6732 90814\n26160 34202\n14943 54793\n3719 61354\n19297 23043\n10919 59290\n23694 95373\n34405 59349\n51296 80426\n67976 94731\n46120 72754\n37109 65900\n45695 77048\n33771 65275\n66215 82643\n27885 91794\n19892 22162\n19561 37980\n11164 78894\n236 96509\n8278 19308\n2990 18359\n47151 92980\n7202 81115\n4121 47343\n27712 70381\n36360 83834\n5547 95074\n17270 85520\n12313 68369\n41805 98191\n29255 97445\n53367 80389\n46823 53039\n2007 46273\n6843 35237\n38352 55397\n83034 95643\n49355 76312\n36692 81526\n31486 86354\n18069 51613\n34032 51051\n2969 20766\n25956 37858\n20150 80211\n8207 16538\n75925 85670\n6415 79026\n42707 53277\n24084 91377\n15225 29792\n35976 48778\n23101 25854\n17129 53342\n19823 41328\n980 36674\n30573 97511\n34329 78155\n31222 50145\n31779 55638\n79113 91092\n168 54839\n42270 91423\n12257 41359\n19050 71761\n51039 82345\n65817 78350\n36917 68516\n48844 82246\n12739 72545\n28540 30530\n217 40517\n20785 30026\n34396 58890\n8906 14544\n19650 95414\n39386 52803\n17444 94262\n22217 92054\n60423 98858\n5110 17239\n53728 80399\n17131 70985\n59322 59867\n25978 70021\n10813 40002\n25509 77675\n8872 42432\n33819 72837\n34937 50250\n8935 22227\n35858 69147\n33978 77747\n585 51027\n27477 47826\n79529 80572\n62055 74071\n16534 40365\n29944 77557\n54686 57006\n25566 84592\n14834 66381\n62128 78416\n25820 58917\n6438 54630\n12165 84433\n18465 76548\n33217 91533\n50612 98505\n55249 61023\n47905 98233\n69266 87686\n69933 99935\n10820 47461\n14893 94815\n35783 42303\n60381 94534\n47989 80105\n29421 84774\n32667 75646\n94503 94985\n35536 59046\n30608 67924\n31394 31816\n30873 62264\n13632 75437\n66284 87961\n37635 90576\n49998 79950\n17113 17761\n30231 95788\n47713 86194\n43611 56305\n68119 72548\n38758 96395\n2375 31302\n19599 90677\n11665 72391\n41463 56994\n19545 58108\n14266 34946\n37521 98808\n89311 96440\n60969 61624\n6197 70768\n52302 70374\n47012 68198\n68981 97681\n17301 32328\n8184 67207\n37729 92992\n37109 91094\n58728 65018\n60631 61230\n69322 71777\n26195 45243\n54995 76370\n71271 75366\n22200 80792\n12464 55677\n30930 53504\n35169 80169\n36742 65719\n67426 67506\n40183 81618\n59052 76779\n19349 68969\n32672 82118\n48640 79151\n21710 64577\n74569 99179\n38672 50989\n43121 50037\n62231 97744\n15612 34871\n81234 98772\n3497 82662\n18632 84649\n24630 85139\n15557 43181\n2450 18628\n10207 75406\n38574 90551\n27479 74853\n12784 47949\n29130 92073\n31187 73504\n6671 34146\n6560 46132\n87574 95095\n18007 22615\n19043 21562\n31494 74271\n22293 55441\n77369 82361\n3027 86482\n71654 86680\n55362 59827\n17252 63686\n31640 60721\n10640 19814\n3013 88765\n28092 80767\n20983 56685\n44677 97477\n51207 81424\n42840 44571\n43048 80154\n39970 82084\n43107 69023\n12435 47398\n51810 52616\n1866 18206\n47930 50369\n2841 74463\n68954 86707\n810 41237\n32814 53007\n54570 82155\n8064 54566\n21993 40611\n87741 95447\n28621 61429\n30263 51208\n9308 84019\n52695 75978\n12288 22040\n19363 71466\n23315 27781\n53694 95120\n85927 97442\n33974 60285\n16573 93746\n29157 58656\n37867 69151\n2001 73622\n22856 30404\n61019 75777\n21007 68191\n7948 33760\n53074 67236\n18191 70062\n36789 96297\n39530 90879\n38535 41845\n50088 84007\n35748 67301\n26100 55267\n49196 77965\n51312 99837\n50505 75820\n52373 67161\n23455 87839\n66797 73548\n22260 61637\n1459 20329\n2273 77903\n45869 63911\n41428 69997\n30042 92011\n47107 96101\n47164 61917\n47959 62426\n783 99072\n32419 47717\n27262 57676\n43880 45239\n40886 59622\n53766 69452\n9752 16140\n43711 64272\n9930 75688\n20527 46448\n47466 90160\n68793 82857\n59914 74433\n29044 30671\n41290 69824\n5944 9173\n46685 73736\n76077 99300\n37221 77397\n33489 53321\n92231 97387\n51751 92364\n34066 83229\n52859 77541\n76959 95624\n25796 87513\n87776 94681\n20752 39757\n71128 71453\n62304 78594\n56797 92088\n64486 88621\n2812 39673\n16250 84818\n44729 70354\n58908 61620\n4263 46099\n47750 67124\n19375 78671\n40360 97896\n163 32488\n11124 21726\n75235 76735\n150 69706\n12324 64731\n2539 72719\n12222 68837\n25078 66497\n94539 96513\n49276 74572\n19791 77024\n2917 74950\n11037 69866\n14097 62202\n15301 23774\n55970 63363\n59 53964\n12420 26282\n89605 96718\n21917 99385\n12966 13094\n17977 24118\n20139 81316\n50133 80648\n43696 69371\n47540 99701\n29570 59556\n57656 89854\n27575 77321\n43664 44655\n20021 51794\n28451 99211\n12618 64270\n12856 72369\n30992 36261\n14161 75018\n19935 21964\n25758 31007\n7741 60512\n24503 27376\n65191 87265\n18977 19047\n93389 93622\n64887 93919\n81697 90179\n64439 99517\n32136 40166\n63289 94589\n18123 68934\n23933 47047\n49949 71875\n23797 28797\n57594 74070\n34563 68076\n22974 66806\n74805 94186\n39301 67392\n644 2941\n9093 71269\n33312 50959\n18126 63580\n50641 94807\n54643 60100\n39075 72895\n42433 60982\n769 95492\n2464 8931\n68780 86841\n21605 51217\n6291 97853\n40320 48877\n24462 55346\n5688 56330\n7089 61277\n38752 68161\n17252 70660\n702 74065\n96086 99896\n22569 89302\n36437 90465\n40961 97731\n49497 81341\n21204 75745\n11972 91810\n6544 69081\n67416 76894\n12221 81930\n24181 92833\n5226 41721\n20422 83989\n27576 48888\n23414 91225\n32895 45117\n25021 96630\n20109 78414\n11893 96296\n16141 17899\n38863 60440\n31599 97835\n61337 70230\n65059 81604\n10958 33992\n24165 90722\n48308 72657\n2286 86983\n52840 80649\n70975 71878\n45510 98641\n46266 98925\n65770 79354\n34580 94373\n330 99570\n38322 49349\n11648 78182\n45105 77726\n71686 89305\n17148 51977\n55515 73477\n44202 82607\n51624 87568\n55292 89882\n28698 77589\n66475 76130\n10221 56373\n25263 88515\n8442 62169\n56640 86403\n14686 36943\n85407 96572\n25376 61869\n30736 55320\n65386 90522\n62058 80765\n31123 56329\n44425 61914\n38962 42499\n44962 47741\n18189 32393\n4399 43421\n18749 63501\n2178 5979\n18208 99434\n21139 46828\n4980 9735\n36941 66272\n13360 47934\n23470 59168\n34001 39738\n25043 68181\n12454 72508\n17709 18004\n57438 69612\n35214 66119\n86615 97948\n41766 70706\n15941 45856\n33518 70954\n5987 34460\n59157 69415\n46385 80339\n48993 87171\n20943 27630\n85900 93610\n1908 12702\n26786 92479\n32088 68680\n979 40867\n14397 82755\n55866 84648\n56380 93382\n83142 86601\n41762 79928\n16958 38852\n15610 33237\n6564 29208\n10131 50903\n17566 38572\n64633 87006\n8012 39008\n93841 97413\n30201 94976\n33651 84517\n35590 62912\n1218 22886\n61645 64509\n11513 62317\n72756 96615\n9584 29971\n54424 68454\n61446 70369\n40248 89384\n63201 97291\n72816 83301\n28918 63246\n60922 70192\n8425 26869\n53449 72046\n43930 76467\n60135 90325\n14226 78679\n10757 36788\n10250 71167\n7807 35816\n58514 95253\n60261 84001\n46575 81264\n23003 99894\n47254 88547\n35191 59178\n18815 98409\n26781 43492\n38991 67319\n40184 76018\n5211 54977\n35340 95776\n4461 49795\n34451 58940\n23665 91378\n74643 86894\n71685 80468\n32891 87635\n61066 66872\n42912 54407\n63413 97142\n54323 79704\n56581 62067\n69467 70838\n44660 68118\n27535 57938\n37718 93838\n2646 67496\n67416 96874\n33145 48565\n23206 98908\n20353 57053\n2644 60297\n81785 95131\n16525 94871\n47043 61909\n87889 99365\n53166 98904\n65387 93250\n18440 24978\n24238 95956\n63463 98877\n31895 58384\n70864 99613\n28037 73882\n79060 87431\n25148 55317\n58252 90937\n82620 95200\n27306 91172\n47365 56486\n73874 96328\n34626 97167\n6407 57592\n31062 52765\n2045 91722\n46938 63330\n34020 97745\n12749 35242\n1654 3594\n10203 57906\n71644 85542\n19653 62492\n20135 70932\n13451 77900\n64585 66043\n21409 85181\n74645 84872\n73860 80144\n16161 78501\n58308 77542\n13536 62908\n11463 90530\n41146 52334\n60009 62163\n6935 20161\n71610 91939\n32757 64514\n20146 76656\n53886 68957\n62171 90158\n78489 82995\n40496 41772\n26440 57155\n39253 55538\n16117 82934\n55076 96067\n3459 8122\n40822 64821\n25146 86553\n68781 85219\n22040 65490\n29488 29950\n30526 43715\n45097 45538\n6579 36222\n7766 62082\n16133 67693\n1578 89115\n8164 31096\n32889 38137\n85366 97441\n3977 53909\n22638 64276\n8204 67587\n70718 85294\n56373 72119\n27983 85478\n71045 98473\n19876 90665\n61694 79942\n57615 72270\n5427 33536\n7515 81514\n8269 82322\n83522 86601\n55968 72900\n14208 99554\n43292 44403\n37746 62435\n32395 64981\n33564 90412\n57679 68892\n59033 82956\n43869 67157\n86457 92149\n8393 93225\n54824 62884\n2548 87314\n14181 23444\n51607 62317\n42873 78714\n926 51339\n2615 36679\n1972 31720\n54702 85443\n7287 97592\n63060 89242\n81542 83442\n7403 80365\n16825 73139\n42842 53857\n26545 94456\n38247 99224\n3011 61145\n8315 68378\n28204 96166\n11778 61352\n18193 82857\n34658 47066\n71965 95396\n64124 82718\n4463 11658\n1400 12359\n33433 65134\n43617 65129\n76761 77874\n6870 89184\n66103 96615\n23697 90136\n75843 92935\n10896 53291\n36721 88264\n25436 93445\n16214 64765\n15155 49330\n12173 35543\n1347 99138\n75716 89441\n57912 79351\n3710 14185\n55794 74969\n35828 47420\n22928 97817\n60109 88648\n17724 49593\n8827 41982\n3874 69083\n1777 20454\n5326 47242\n130 21326\n56771 59265\n13940 63563\n81546 98893\n77766 82729\n30257 72225\n61441 96938\n6386 83298\n1800 16912\n17657 98270\n42493 46938\n6782 96382\n33717 66014\n43089 79024\n71207 80458\n6234 20251\n43505 79212\n87730 90490\n49999 94209\n11110 61850\n4684 23363\n55198 66001\n61635 66081\n72997 89206\n77667 89210\n8595 60554\n14502 58181\n34763 96094\n59455 98410\n11193 32826\n28170 99820\n17007 89464\n36058 85303\n24027 76898\n39180 90139\n15249 24232\n23520 43408\n12852 80398\n27754 72907\n39643 93980\n53863 84622\n10749 27404\n1216 6290\n74435 84235\n57693 75666\n2210 72765\n17795 87229\n41758 42986\n49977 61864\n52866 87964\n3553 55291\n88698 96886\n16607 95088\n13030 52115\n19972 92391\n36605 55752\n30679 71785\n4235 31200\n68144 96979\n59340 75684\n8866 53942\n85194 96055\n768 4536\n16918 29422\n71645 78008\n38678 65414\n19271 38497\n62165 93383\n11842 49398\n7188 93992\n40057 96398\n5824 26740\n61848 72519\n12320 25436\n46768 88172\n34003 91121\n5191 41055\n62931 96266\n12975 21308\n24124 39558\n87703 97366\n12289 66436\n52479 93067\n9829 64481\n54673 92424\n7204 8753\n39058 48261\n1385 7975\n21790 96301\n18924 23945\n66188 90729\n40451 54663\n2259 35741\n9008 97281\n39599 68593\n52079 72652\n19572 71418\n32266 91946\n1814 34976\n15054 85810\n35295 67336\n30481 46583\n54446 56167\n45537 95492\n17205 56141\n59433 91476\n48428 85844\n29286 58184\n13135 52658\n1303 51839\n45961 96044\n50189 93733\n17349 82877\n32368 54031\n20526 33953\n7915 91533\n15035 74227\n5032 58324\n1975 6946\n7705 57726\n65992 91143\n26332 68474\n22740 83459\n1423 61951\n8191 95709\n48075 48428\n54647 86294\n3860 52826\n12702 27896\n45490 65346\n80105 81082\n56692 71135\n48710 88468\n67255 89381\n4792 10192\n45509 69557\n26280 85100\n77116 78293\n31100 85910\n21548 43526\n13400 89024\n25428 72355\n20789 60733\n13180 99329\n33778 92856\n83212 94900\n66225 83574\n13781 28202\n46670 53449\n22208 50194\n93478 94991\n23536 71811\n64758 68510\n57691 80017\n56556 74580\n8969 35558\n51683 82703\n53140 82210\n44444 64562\n35562 54845\n29444 98517\n57850 99833\n12375 99891\n2177 87180\n70284 93620\n43042 69504\n7449 57400\n82019 88030\n40034 72339\n24296 56715\n15017 70180\n57232 99667\n10521 87430\n2634 91045\n60356 65608\n77579 82048\n78450 92021\n58628 75318\n19567 93605\n13065 74127\n61173 72330\n37631 72453\n20279 66988\n37011 86766\n18263 49506\n34781 94208\n36071 69712\n16277 42951\n17303 20097\n4449 74284\n23642 43848\n5038 79826\n57708 88889\n60392 91974\n26931 89509\n6248 19200\n88883 90910\n34202 82466\n8305 64557\n24216 39951\n7601 64129\n838 10398\n7727 92429\n58852 98367\n8399 60533\n48389 80179\n51448 96865\n69665 93510\n53588 56918\n1138 64161\n57501 99916\n44464 56265\n11128 30695\n12969 52239\n59227 75119\n6758 51856\n18634 34541\n59715 61789\n63102 92814\n64647 92965\n54082 88476\n16638 48585\n28485 57509\n63032 94346\n7322 21369\n26188 78652\n26401 42598\n29731 75873\n41808 99955\n66816 75459\n46972 93157\n13261 14391\n58002 88611\n37861 67229\n617 99136\n3567 5386\n7898 14175\n42800 70041\n5805 47293\n68232 87063\n29632 80084\n50180 96597\n8491 62161\n35637 97791\n5414 86049\n12671 52042\n51908 90323\n45950 66716\n25602 98718\n9634 29828\n33910 53297\n47883 51857\n9291 21473\n6010 89496\n657 94294\n70294 97580\n27947 63885\n51121 82847\n11178 46510\n10825 22649\n61562 88054\n5371 29270\n65137 87783\n8649 92741\n46808 78488\n19883 69125\n31874 33874\n55839 67948\n9392 19838\n210 36081\n51607 53238\n66203 79493\n23970 33187\n12474 39853\n9860 26631\n15270 56449\n38812 79379\n31592 77436\n30228 82180\n43747 87305\n8947 94735\n88081 98991\n34834 41872\n41060 59997\n71173 93044\n27344 99724\n58507 68331\n47203 94946\n53871 82172\n69884 72014\n48193 54151\n6355 18618\n11858 33322\n67334 87784\n16220 34413\n11494 43009\n17626 95407\n31484 51408\n17595 21107\n20813 57567\n66468 79910\n12221 85016\n11060 59583\n47043 98053\n11047 45731\n362 87650\n9598 37567\n77404 92166\n32509 90555\n33911 81655\n83099 92362\n4953 61512\n20532 29754\n45715 82064\n61217 82165\n2976 5295\n31652 83804\n63185 66204\n92180 99854\n13073 39151\n1620 78490\n2551 46564\n74702 93674\n56017 86277\n28952 85418\n10636 21793\n15924 89332\n42478 97743\n6664 53559\n6681 85247\n38760 40352\n59 26685\n11398 61091\n49608 93680\n15466 40537\n37120 77803\n55433 90097\n60920 70194\n7185 46283\n56008 67941\n25647 80885\n20551 90348\n36309 46707\n9559 19513\n35281 67982\n19605 81432\n13068 40313\n39662 93097\n31274 47192\n660 46213\n3191 34997\n49802 63858\n33972 77262\n79123 88283\n22529 76090\n49282 90092\n57282 68753\n9827 34042\n24892 48297\n21974 51490\n20104 30729\n56588 93924\n1642 8424\n1812 52974\n38873 74455\n47297 83442\n23774 28618\n24689 85789\n93549 98109\n5027 6645\n30672 83598\n51610 89571\n31987 76091\n9336 54593\n22110 30717\n22744 50950\n5527 62829\n72241 88151\n34875 91466\n3679 21811\n26452 84893\n26230 88793\n33335 49851\n7205 64941\n14158 68102\n35879 65650\n69700 79565\n49084 57195\n1987 38290\n23073 86764\n47119 75612\n12531 57120\n31929 91460\n13356 71894\n64567 99918\n51372 58767\n73315 87049\n37445 97984\n36876 82462\n52791 56287\n46916 94552\n36765 82111\n14082 82716\n46658 47582\n7657 36533\n86756 90949\n34010 79236\n26776 32336\n5017 26658\n11782 35521\n63535 84540\n16965 66411\n23755 61078\n55916 89041\n71191 82855\n89534 94201\n9407 58105\n65379 87131\n12780 51755\n49486 73803\n25117 65700\n11517 23228\n7526 63733\n35764 36256\n45705 65102\n51279 95730\n66400 93126\n11383 83484\n23418 74026\n57258 97219\n64404 99161\n15509 20212\n47461 86917\n46536 71666\n30852 94395\n40963 50050\n31469 67864\n52147 69781\n17003 87536\n5321 68012\n69721 93900\n4166 84073\n50563 58715\n1307 9506\n45056 95005\n3394 65424\n46372 77857\n55286 93027\n87497 87571\n27091 86993\n2498 77060\n15837 75886\n29381 70054\n14664 17659\n71446 90774\n3482 44175\n34281 67486\n22594 81571\n34822 56979\n4483 83607\n17637 73911\n65733 68413\n41203 87757\n26119 26925\n61084 77492\n29702 82407\n33208 48407\n69194 84404\n42223 48441\n9125 58854\n78680 85178\n5047 66780\n68006 83681\n48161 94924\n65114 82280\n45530 46058\n70607 72893\n53550 74833\n19533 63938\n8540 56692\n43833 57152\n26207 80842\n9903 93378\n82720 92398\n17548 36429\n26259 95670\n13360 93035\n5949 70303\n48680 57322\n6430 20912\n23903 87978\n13220 59461\n39041 90175\n31652 69269\n26417 76867\n2877 33734\n18070 56042\n33395 71734\n2560 57047\n21505 98721\n17675 89331\n46444 75948\n84079 97723\n11376 43551\n40827 94554\n27830 41675\n7181 30194\n37456 70061\n39218 72574\n30449 90777\n11017 59819\n37533 73979\n5658 25217\n51348 52389\n58162 77432\n5386 68661\n16855 34657\n23279 78493\n11970 23289\n110 66167\n31265 69500\n4168 52615\n65042 79722\n10749 45173\n7012 35104\n57305 84028\n14410 16273\n12803 18213\n21293 61924\n36931 77434\n7371 43352\n23614 60431\n22791 97657\n54954 75995\n15178 30706\n13935 21215\n46773 92516\n54578 77291\n6001 75993\n41786 42615\n7834 23159\n13572 53920\n11373 59171\n50521 59574\n45610 60402\n3237 23528\n55229 97470\n58515 84723\n14239 23564\n4499 75634\n43904 74946\n46286 53226\n58125 63506\n78377 81537\n59218 66415\n28955 59743\n61301 64815\n31666 52777\n24131 80561\n47495 81098\n14861 88186\n84936 98533\n10178 20005\n67419 92899\n21296 87129\n6932 12808\n16558 66645\n83564 89178\n33875 36954\n26363 46837\n55417 57325\n38402 59376\n37684 71462\n80888 91845\n34134 67435\n33528 61506\n22172 78960\n20151 62639\n41906 85393\n56021 66928\n18257 81096\n71170 89796\n131 52677\n63250 92004\n28313 55405\n10259 32109\n10893 47621\n19142 75686\n22821 52299\n11198 37758\n26980 49919\n22690 75888\n95124 95320\n14751 56223\n22972 85347\n17292 89188\n344 51505\n39484 49496\n12874 58617\n48778 53419\n73995 88681\n29299 40958\n70889 79879\n75892 82250\n38301 92488\n18518 90012\n17269 36002\n9652 9680\n8166 10505\n18914 47384\n2146 74965\n30074 51688\n13594 50612\n13490 17401\n4547 22585\n18516 89101\n22027 79712\n15461 88804\n34116 78465\n41910 97303\n6742 77096\n19036 83001\n27183 43749\n47283 99125\n44058 44445\n15142 46298\n66172 70105\n4041 5190\n22289 77490\n10623 52589\n3689 23430\n24914 52246\n24551 67948\n2271 21396\n67065 68466\n32175 63066\n48744 58116\n49004 68154\n19602 61682\n52918 98400\n73919 84064\n6354 25309\n14102 72031\n33589 97901\n21405 73694\n93291 98335\n15666 56943\n39710 90364\n57462 92130\n7237 26047\n8364 99010\n25985 70247\n30183 55717\n19427 51879\n43954 77806\n2121 92391\n32156 90145\n18091 83234\n1584 38933\n33631 58501\n10943 21588\n66097 85109\n44278 63971\n47629 73868\n9315 98687\n47774 70310\n7688 76949\n22484 93308\n70812 81484\n32675 50073\n24311 31012\n11065 91449\n16937 59051\n6996 93083\n34735 72069\n5426 36472\n4360 56516\n40697 60622\n22494 75587\n37097 96327\n17802 37553\n29638 97831\n15389 96717\n339 2414\n68491 81308\n50082 61218\n47069 49963\n33191 81724\n21743 27139\n13025 91701\n14492 41062\n21633 39493\n19421 75496\n59094 78648\n17057 54287\n6194 34752\n63952 94205\n96 52900\n29945 36986\n86486 93052\n3900 51102\n36560 58072\n1282 54032\n25345 93722\n72875 92519\n68783 71537\n19362 47175\n74596 78924\n27285 88973\n37406 52002\n27497 78595\n63633 90849\n23101 85130\n13556 42379\n29049 92532\n86598 97556\n47991 81979\n34159 47522\n15618 49997\n33648 89547\n42593 94899\n59238 95325\n12869 86215\n5420 63022\n62347 97131\n7891 48395\n4215 4823\n60111 92589\n49668 96131\n35062 55744\n35284 78320\n37204 41710\n28843 83368\n20037 29371\n12564 67502\n46538 61631\n7476 39951\n8548 76389\n4725 24669\n59016 91243\n28825 58484\n76827 84416\n17594 91350\n51979 90824\n7111 70075\n16508 17534\n5755 84181\n83342 86246\n19197 40157\n16834 34832\n4888 64042\n14592 43890\n53502 92336\n49991 58467\n14682 56086\n1088 76992\n27595 84908\n63755 89272\n48546 58461\n33523 82754\n25618 38525\n32264 61405\n43419 87110\n53313 75237\n366 49946\n33979 63844\n25480 40609\n9239 79098\n23211 44952\n73085 79233\n86354 99130\n3924 96559\n29267 48847\n7135 20535\n55307 87172\n76175 93804\n43601 50960\n42485 67989\n54709 62305\n10324 14793\n81804 88401\n20803 29679\n11395 93842\n52346 84324\n2988 12951\n9567 19115\n24933 56896\n88662 97645\n26794 38318\n8752 81241\n57347 66783\n25788 53666\n64114 82628\n43419 99082\n42220 70013\n87202 95883\n78926 97104\n18944 27474\n70 14463\n42284 64920\n17555 94705\n47010 50846\n25123 99340\n23518 41594\n25312 68978\n1807 36087\n3982 97912\n36475 96976\n602 24047\n53981 61093\n3533 25643\n58874 76551\n20109 78442\n8132 27412\n16016 51988\n8703 86841\n7198 48742\n45803 53230\n37763 70750\n600 40428\n7285 58539\n47933 81855\n48050 93388\n55795 57626\n58311 72292\n22525 46037\n53236 85694\n2098 92571\n40927 55743\n39375 96877\n4058 40462\n31551 57259\n40732 85766\n64537 85162\n69352 78765\n27586 44037\n13339 57754\n60056 86780\n4701 76366\n57846 75005\n26629 40897\n2215 30899\n44842 68921\n15567 88789\n5345 22051\n47943 74509\n73711 80554\n3702 27583\n11343 50193\n16839 89675\n32681 49040\n16269 99303\n28241 84796\n58220 89739\n19158 52082\n15903 34442\n2184 38977\n53989 86178\n86589 91600\n44071 44736\n11102 62420\n13213 22165\n6468 61768\n5763 28476\n75443 77046\n83970 95887\n16509 71122\n2050 79234\n32043 95479\n44937 46011\n7229 65401\n27558 76430\n25427 95062\n47346 57934\n27023 71495\n61179 91493\n26581 90191\n49352 52282\n10422 49330\n12715 28402\n14402 71262\n35078 56358\n19069 44545\n13798 83261\n15162 65132\n39102 49106\n92491 98166\n44799 50290\n73760 77338\n20722 27427\n16247 39137\n7390 65955\n5704 66137\n13954 37178\n26331 66658\n25319 89029\n92014 98744\n21772 31062\n21461 95391\n67318 83011\n46878 65900\n9286 83310\n58019 76456\n18397 53863\n11485 60557\n26380 69214\n3333 40867\n27181 91006\n13068 60890\n2826 89395\n76324 84553\n39450 92999\n27856 33934\n19360 79993\n21117 69528\n3 7863\n9433 85750\n30403 60440\n10718 60744\n7304 75648\n6283 91600\n2866 27898\n24701 86708\n36587 67583\n15522 54194\n57467 82547\n81428 86476\n83482 91694\n28182 86016\n38219 85181\n32643 82175\n6302 25617\n89481 89641\n24326 97199\n58650 80134\n3887 62910\n39230 65409\n78775 84359\n45319 86990\n51266 65823\n44467 82938\n68965 92132\n81161 87630\n15283 67416\n46666 74605\n10982 55218\n13826 62043\n4970 32861\n49553 83668\n87007 93015\n23213 60207\n67348 77640\n33179 85389\n7562 42746\n6112 12125\n3504 3977\n5944 15619\n12786 89268\n12783 97142\n42632 65567\n7900 11294\n46909 80971\n25253 78858\n46743 50098\n5647 45593\n4707 86037\n31592 50808\n18030 66202\n10613 15758\n40231 97033\n16185 16820\n14062 71343\n71985 81805\n69997 98346\n68271 77463\n48690 87705\n18412 71127\n50103 85695\n29241 66033\n31375 89613\n30939 64550\n75743 92444\n49326 85784\n29560 46373\n10324 61871\n39340 97781\n40166 78586\n5994 61692\n6337 35970\n35344 95227\n67062 69894\n57468 83583\n12268 91742\n1483 6373\n58623 75864\n17807 55535\n61492 94926\n8743 34413\n37455 41385\n40822 55386\n9055 47423\n36556 51933\n2950 90952\n27393 28510\n26391 66317\n35094 36541\n710 38917\n40748 99325\n21996 25420\n13797 53863\n80708 89949\n337 15057\n32879 92179\n80923 96207\n62943 71288\n42962 65105\n38198 59562\n29320 64636\n26424 54539\n82831 93297\n27165 40353\n37775 43193\n35281 41217\n43711 92490\n46816 78851\n25699 85646\n10474 23069\n33838 51805\n8520 13390\n31100 58340\n5893 73009\n11134 18267\n46026 62231\n55508 74587\n20471 96607\n48097 86835\n2348 15191\n16200 85312\n45299 78718\n3157 15330\n6319 62086\n10759 26798\n58926 81043\n43083 86702\n11370 93761\n49645 88682\n28134 54399\n14850 33122\n50345 53502\n74015 82424\n25487 70594\n87214 91128\n2817 61381\n5246 44150\n44888 79169\n75638 91083\n97736 99075\n22842 36059\n29776 48331\n66265 99104\n8180 50933\n50045 96629\n3490 69881\n39507 40365\n33512 69719\n10696 53293\n2299 44991\n13473 34236\n59600 96415\n5328 84161\n52206 81889\n12333 81877\n56902 87391\n14188 57051\n32612 69840\n41870 81066\n19845 32888\n10433 99605\n3431 84784\n3662 40595\n33549 69200\n53002 61154\n17390 63921\n50652 77809\n75518 99637\n70004 76534\n66311 99797\n32568 59734\n35088 50714\n61677 89657\n63059 98570\n18351 98085\n67960 77307\n8214 34383\n23511 55297\n1803 25947\n674 21855\n6366 57871\n48954 58465\n23366 54759\n13794 80038\n316 55533\n36233 81899\n22918 76665\n7121 98482\n47175 82379\n11404 88392\n61177 94329\n28660 53131\n72501 85359\n6564 71110\n47077 94674\n5633 57424\n50659 85384\n6170 11074\n68784 72263\n10232 81758\n10793 42788\n48070 87471\n33593 38698\n19755 28558\n24100 49106\n7872 24057\n13545 21134\n16984 57925\n78261 79587\n11884 57409\n10928 62478\n10394 57313\n39699 47895\n13234 75067\n49719 98549\n79775 94961\n47575 78951\n66812 83413\n27712 91375\n13342 51877\n15647 42958\n35697 80500\n4033 36819\n52443 91194\n50807 84645\n23032 67835\n30646 81419\n39354 51493\n33797 41794\n11294 53426\n26167 98989\n3221 61898\n47927 70447\n24689 98503\n17599 29142\n43277 80289\n26444 74706\n17545 22372\n8361 73397\n27917 62944\n2227 98926\n70185 71792\n5402 12053\n73462 87331\n2513 59715\n1342 78749\n14068 51252\n13374 34679\n25579 48746\n30987 92408\n38952 47946\n44707 88161\n12966 44155\n26249 39631\n6530 29242\n10894 77512\n4759 21173\n37992 49116\n31710 74074\n17631 59540\n39838 54261\n42934 95523\n49863 59526\n52152 82729\n12130 30794\n7177 87985\n4508 86189\n59480 90847\n44745 47989\n17821 85826\n4894 30436\n17427 46678\n36478 57373\n43446 55379\n1612 61277\n45875 51909\n44323 62540\n36573 47045\n4930 71525\n57680 99492\n23415 47198\n3576 60909\n57782 81412\n46418 71292\n29133 83897\n27761 74398\n59698 79834\n65272 82185\n52719 76992\n49696 95442\n29660 39870\n28555 38484\n6470 46324\n50283 76849\n16039 58202\n4152 15494\n31129 90328\n8185 45642\n14633 34304\n95391 97693\n20062 66739\n6434 25932\n4037 52873\n20001 37062\n3075 26198\n57687 68527\n76325 98079\n7334 28829\n53539 57001\n34149 37123\n32945 53462\n34252 53254\n59421 93825\n4286 92259\n56012 85973\n46067 69798\n21451 97027\n8293 48624\n60531 72548\n20167 45005\n15849 88248\n28356 54063\n43026 96177\n24635 53785\n40339 97108\n52426 79657\n2897 27248\n64339 97716\n64771 76448\n62220 99290\n41143 81166\n47061 94537\n55278 73932\n40566 68556\n14383 64178\n25420 47007\n5792 23453\n630 53749\n15000 41848\n13073 90798\n15564 46975\n49053 82181\n15111 42072\n48080 88358\n48126 96665\n27138 32543\n44177 55944\n54596 72157\n43565 83833\n57744 67876\n11617 25493\n18932 35650\n21581 60022\n2823 88740\n63748 72619\n30336 61390\n7977 25252\n4859 86700\n56381 92323\n21956 30395\n44293 94240\n6568 87060\n38225 76672\n83430 87925\n58221 88092\n15478 72558\n32052 48155\n21366 54585\n11461 59493\n26404 97845\n386 96619\n40963 85983\n43605 95984\n18297 18971\n25011 84883\n2078 41206\n35285 39507\n19295 86762\n20742 58979\n60762 64374\n15275 20343\n24700 29660\n27840 53280\n4373 52219\n7071 74967\n42398 92155\n92994 99764\n66279 77462\n6911 45676\n28313 80942\n69759 85644\n59516 61270\n35342 43662\n12766 91937\n26936 48986\n13634 97249\n27576 73975\n13756 40184\n49565 61938\n3572 10551\n7663 43208\n17004 27750\n41154 82088\n11199 26442\n26901 41605\n4257 11021\n15654 51294\n33214 84062\n40923 63183\n31156 74898\n30296 53292\n78445 88865\n55293 61432\n31435 63725\n18187 99176\n73600 92402\n58722 64342\n34961 93724\n23369 96300\n67449 80682\n76640 77917\n20958 87378\n93225 97434\n7866 46774\n17588 86693\n18877 66549\n5686 98339\n12988 48116\n2927 57140\n13115 17562\n27308 95963\n6985 11814\n51564 66094\n33107 96799\n66439 95922\n40096 83387\n20527 80231\n6765 28239\n1176 61108\n36232 94017\n24804 99260\n24622 97450\n33032 86804\n989 48507\n48731 78967\n69595 94740\n82299 85983\n4719 81247\n21991 95006\n85921 88905\n4433 75728\n7857 81295\n1637 75142\n45053 96749\n7925 59191\n11518 67722\n18311 79399\n77670 82173\n15330 97460\n46552 79983\n23929 50969\n53648 67200\n32370 40844\n26484 51691\n48397 53588\n12176 49570\n6695 80295\n54909 61852\n57057 84175\n26956 52237\n5029 38445\n22975 76442\n44433 71217\n5437 24112\n76010 83461\n79870 90014\n38174 43991\n11046 40631\n515 67556\n2568 66048\n26810 89396\n70583 91314\n95289 98502\n33369 63978\n3263 99404\n10066 58223\n48440 71491\n12080 24959\n81014 90508\n26107 52842\n8169 59729\n14088 15886\n88904 89863\n34945 36536\n14056 39452\n32044 89794\n42245 50116\n12865 23142\n6351 71744\n39247 60829\n43893 98556\n15846 44593\n46503 46507\n35307 36802\n31050 36126\n44510 67567\n10977 39450\n28010 32532\n44880 61710\n2231 39560\n35945 50499\n6647 92668\n33038 71656\n26260 71898\n50803 78732\n55159 96808\n24187 92660\n18215 38930\n83309 95315\n31471 44257\n3763 67629\n51461 60434\n77139 98217\n61850 98295\n7895 21561\n22140 42416\n1905 13793\n71867 93901\n39181 71471\n39728 89838\n3164 11902\n34413 68530\n24760 87507\n25666 74127\n2208 5694\n80150 86537\n30783 79118\n12653 41500\n15896 60768\n24295 71488\n11937 50757\n12464 25157\n18753 70014\n12856 24806\n9157 82507\n58795 77751\n45479 81554\n25924 83156\n58584 85472\n5486 54583\n35881 90830\n48911 65980\n37101 73441\n69310 92248\n9367 40283\n50080 87917\n58079 66543\n54301 98033\n49356 93014\n34967 35233\n21927 69866\n75937 76191\n23340 90648\n61032 85606\n49789 89403\n11437 31211\n9047 63532\n74123 93728\n63547 88525\n34226 72997\n81848 98478\n11491 66212\n64029 73247\n57784 91527\n3545 70174\n27384 96773\n5002 47816\n3720 9824\n33350 66138\n35701 75313\n21034 26323\n57357 89181\n12941 52060\n22802 88852\n65083 97523\n58306 98433\n27554 92305\n6786 80507\n63977 81366\n76509 95459\n56171 89912\n25321 71715\n42028 72028\n8213 86444\n31779 94891\n11299 96552\n11390 87736\n96721 99862\n40635 57866\n33738 54461\n59773 79527\n44691 75792\n24393 55397\n50083 87754\n95868 99246\n26235 84279\n45268 70572\n1549 54495\n25080 73626\n27183 49728\n92130 99358\n46082 61696\n21617 39962\n65574 72050\n4140 87642\n66763 79795\n41433 45061\n34463 74935\n31801 38343\n15534 32482\n13237 56913\n12948 81257\n69707 87120\n2679 35951\n35392 38081\n12047 60833\n39871 60239\n2248 50103\n5296 67035\n8798 33849\n50010 75349\n18400 73182\n6042 16570\n51175 65191\n37170 68654\n24506 85874\n44779 94004\n43644 83783\n93798 97308\n1378 90033\n16034 52362\n29941 75803\n17647 40069\n25454 78311\n23091 64944\n37840 90758\n30815 92949\n9213 58677\n10344 11358\n10416 47326\n39180 85875\n12702 58897\n11124 67493\n32266 96010\n15523 98778\n93176 94900\n60828 61999\n51666 72280\n92947 95013\n24090 46263\n12433 36596\n43166 72358\n34472 47671\n33249 64222\n20852 88259\n1060 87773\n10378 68164\n74475 76058\n7693 26831\n4102 69130\n67323 92339\n5392 29915\n46777 50424\n48441 63444\n1479 35167\n17385 34104\n62198 96146\n16954 64758\n66734 99466\n3348 80413\n21164 59790\n2744 20824\n19600 86009\n75787 87281\n13150 97087\n16198 49701\n35574 87104\n31992 65164\n11693 97437\n2588 39746\n15085 42912\n15889 28036\n34985 80014\n28445 48699\n53891 79438\n69371 78706\n3203 48797\n17136 72492\n14719 40980\n15542 89795\n46106 93821\n73859 82583\n2130 41774\n7558 28983\n66162 69941\n64866 65339\n28041 58314\n31094 77958\n11072 69420\n11760 66941\n36483 46754\n5576 47344\n6243 66999\n64067 83422\n4414 71783\n43445 51793\n5172 26087\n38777 51791\n7755 13299\n74891 75752\n15422 32642\n23654 81834\n21296 88163\n58181 86872\n20895 89212\n178 96481\n5808 27223\n26861 53835\n2569 51038\n49336 94594\n10679 87946\n27574 62669\n57467 98500\n36856 97759\n1685 75051\n64858 91025\n20413 27258\n73663 82997\n37594 91163\n1973 67209\n88102 92854\n15700 56276\n56080 90359\n49842 51265\n48978 89416\n32663 51987\n59136 72457\n85714 89785\n63373 69045\n13538 52936\n41700 91308\n2708 20752\n75639 76273\n51395 58616\n59014 87298\n67425 96516\n90430 96939\n52895 81892\n47108 98785\n13403 26093\n9861 43204\n49571 66550\n3927 93130\n14610 72857\n82118 91923\n72094 77086\n86817 95180\n73027 91189\n23489 69265\n69452 97216\n4430 93840\n4100 49173\n22961 27783\n37475 56032\n12945 20179\n32427 35867\n26138 30111\n63638 75034\n1448 44372\n49054 82149\n62981 87739\n19018 68051\n32108 47029\n17539 97135\n1833 84496\n42549 85568\n40252 57632\n14129 48270\n43594 47751\n30178 57359\n46083 71170\n63290 95007\n39310 89648\n49554 65445\n8405 38077\n653 69940\n78973 90240\n73091 93972\n9058 28222\n32486 46030\n22494 84399\n4185 24117\n28922 44099\n8116 29756\n6752 26224\n39576 61424\n3259 80686\n20502 21605\n49187 82830\n63124 96890\n27154 36484\n3648 7706\n17576 37032\n22891 35672\n3255 73620\n20366 22082\n11767 95369\n54611 56714\n8471 43614\n50875 70852\n7329 64543\n19557 85041\n70983 75409\n4540 32707\n31658 43751\n9806 77753\n23519 79651\n13310 64457\n6761 76626\n74227 94055\n62 69015\n3125 62858\n54490 97700\n21243 49281\n34692 78246\n50236 95608\n33889 52152\n50860 54499\n88025 91572\n44668 85842\n66671 67232\n21218 25874\n6243 20866\n88030 90418\n9155 82141\n5991 68862\n57458 80383\n2845 83203\n71531 78522\n11092 14673\n10727 82670\n7389 39778\n11818 73420\n37862 64427\n10674 69623\n10092 35024\n3343 59982\n41405 83693\n30437 82521\n25182 46553\n7621 60470\n8095 98249\n6968 33650\n59901 66243\n7787 74645\n42050 87217\n57764 70223\n19098 39546\n58168 60446\n22064 72593\n47030 60797\n24089 39685\n55215 76234\n3340 27828\n67198 75045\n36883 62887\n11231 96532\n21182 59110\n24041 55653\n1092 58919\n2550 95285\n16525 87759\n12438 39635\n14877 32134\n34465 59505\n81268 89741\n16061 53958\n1372 55733\n10058 64105\n38243 50838\n37480 60812\n36214 40885\n42954 89107\n22518 86920\n26785 63976\n84682 98961\n15532 47309\n45412 81214\n13597 80803\n1537 85381\n28092 31752\n13825 48405\n30673 60857\n13899 19998\n55466 58620\n42206 77174\n29231 42099\n25808 49591\n12895 81580\n49206 62910\n26154 39846\n23176 86276\n3751 91622\n33650 43226\n12056 87166\n8314 98609\n47329 49699\n16822 89659\n9152 25511\n23452 36853\n31954 71082\n24182 46128\n38092 74891\n73501 85013\n21522 46839\n39299 64913\n9520 55763\n4031 70314\n30266 54160\n24769 93702\n5479 10831\n43101 55872\n24534 38850\n16769 68909\n44993 51471\n27213 43994\n60186 65084\n73883 79530\n37942 54126\n28383 87079\n17403 50618\n7975 73524\n39584 55086\n68076 76095\n22629 43272\n55555 74219\n13857 84322\n65355 88210\n59193 59444\n56462 86569\n53248 84195\n27337 77081\n17359 77402\n6324 91417\n52975 74580\n25688 60671\n15940 45524\n68259 83304\n41284 74328\n50820 91644\n28910 79746\n8625 85414\n17513 21838\n43852 68563\n34508 78419\n26166 43154\n40117 71036\n56868 68152\n65573 98973\n30980 42106\n25679 39296\n3176 33459\n44920 54931\n15440 23817\n52793 85326\n62232 99812\n57358 81197\n88831 95619\n49071 78250\n31100 61710\n41800 86263\n24951 46571\n18408 86406\n53931 65090\n25908 42963\n44003 84979\n8602 86092\n672 73162\n42556 69022\n58694 98418\n780 27566\n38664 84251\n63056 96943\n4649 15979\n9566 83296\n33764 46963\n45814 79941\n1480 69190\n41274 89167\n12058 47931\n73958 82749\n24278 25822\n48956 94924\n14468 17140\n2857 49232\n29191 47814\n33618 62723\n4823 98948\n22407 37043\n35705 46512\n48918 57168\n1403 25327\n58842 61680\n65517 68091\n15000 35885\n25279 70292\n25050 61761\n56126 67891\n20940 85450\n32694 56129\n54626 68527\n25739 93730\n69300 97721\n13288 27466\n7968 18030\n62477 78685\n28296 41655\n74255 80647\n49436 95567\n63786 95611\n4915 75878\n46747 95179\n8209 57506\n31743 69129\n185 76923\n16340 61076\n96510 97791\n64543 95512\n50162 71622\n54709 94325\n2975 34938\n11142 97036\n51388 52148\n62908 70485\n22447 92595\n31091 34354\n75759 81317\n36196 66970\n28217 89938\n19786 55531\n7494 90231\n29581 76516\n16948 79901\n44204 64703\n31527 58599\n13113 43168\n2585 36386\n65009 95999\n14206 27353\n56870 60857\n73994 89734\n4997 12262\n6742 90738\n4375 58372\n22593 31536\n59365 63281\n14933 47636\n11512 31275\n15852 58490\n33757 40619\n37060 61189\n20583 30295\n58751 85308\n48273 59634\n10811 58224\n2058 36235\n60869 79042\n36742 55747\n5515 44766\n25366 41056\n6678 56978\n44412 85129\n30454 54528\n71806 99288\n24830 67006\n30957 90674\n22119 68803\n10384 83406\n27473 94075\n6078 54372\n41432 75353\n20311 74628\n119 54140\n20473 90485\n14552 92481\n66273 99415\n9291 14845\n24063 53273\n32619 84470\n7964 91199\n63478 74058\n37275 89918\n34241 83801\n33435 68361\n24810 35621\n14960 86758\n32605 33839\n12700 28762\n22854 67533\n31431 89949\n31928 34246\n21334 37283\n10978 90151\n28131 36372\n66765 84379\n26950 77192\n645 40086\n37583 74314\n7049 52243\n15407 48247\n39080 57733\n6268 44483\n31259 85501\n23640 40340\n5896 68389\n6766 39028\n15307 20158\n34871 95972\n76499 98408\n46414 53065\n10905 43188\n62288 70419\n15231 90598\n86125 89174\n68184 91304\n21342 29887\n4545 80836\n54358 63934\n92596 94740\n35912 93978\n17573 76381\n57821 91591\n23397 86324\n11328 47279\n3801 35175\n21758 39755\n35743 46781\n6882 95628\n1665 31054\n44177 85883\n55985 87725\n13322 44735\n44830 47464\n20332 59019\n9032 68771\n19523 77928\n1259 41493\n8943 98977\n24129 34156\n3984 66431\n28617 41835\n9385 93589\n41355 66858\n23394 31386\n9058 74090\n5994 19625\n15799 69818\n10047 34244\n22458 32882\n4397 81699\n55539 82126\n1798 26608\n30003 79850\n36992 86995\n46901 52246\n71038 78487\n44348 99747\n25014 68544\n98646 99032\n24096 58671\n29576 56320\n36071 77922\n5993 31953\n24681 33680\n15468 85801\n35245 87308\n19597 36936\n76270 79457\n27091 55052\n30174 50355\n39152 47648\n37157 38554\n44319 60345\n9670 26212\n53207 58771\n23510 86281\n23123 55711\n67177 93342\n55014 79856\n1986 78887\n80906 98994\n3021 33096\n74854 80616\n26333 60316\n32261 50923\n60232 69118\n9927 47012\n21390 43855\n24195 86137\n1402 59468\n2859 87077\n9599 66409\n23270 41506\n13928 49229\n22279 46238\n15124 31275\n43204 55969\n7314 97228\n31425 73251\n47342 65693\n5025 20876\n23617 93737\n37408 46527\n69670 82944\n32694 47680\n75556 99102\n91864 97596\n46293 81771\n1405 45577\n7210 83325\n7654 32708\n55207 71900\n89074 93077\n36525 76471\n85279 92481\n15770 94795\n15847 70343\n86860 94139\n9594 40928\n41756 48305\n46622 97205\n32611 91039\n28688 68826\n14787 55973\n81693 91177\n12947 19672\n50228 73009\n7907 21639\n34657 88480\n18464 52658\n9358 36517\n15917 33218\n15856 98313\n1850 55954\n16636 25010\n4010 95388\n92369 95788\n50663 55853\n35334 54267\n16818 78172\n65689 94982\n54593 77360\n90409 91556\n58602 83168\n71369 74507\n47372 90969\n43490 50441\n33263 62318\n75549 97673\n16462 56995\n48149 55402\n86053 92864\n42791 77809\n49609 71180\n235 79015\n46045 56492\n32966 64121\n29085 96965\n34495 87463\n33296 46612\n56254 81650\n59928 73316\n87719 92400\n12274 42797\n41538 73255\n49609 63600\n19329 93235\n4405 27772\n38295 49517\n1648 71734\n20407 94280\n16658 77565\n51299 92183\n22031 66429\n50213 93534\n43691 98071\n50771 61891\n6326 97954\n26046 86981\n21953 95777\n14244 58454\n17665 82627\n19113 86374\n1904 96005\n41402 72777\n8072 18035\n11494 81273\n89953 92845\n26639 78187\n23526 31322\n37547 38966\n12531 52740\n17225 85000\n47636 85563\n39572 70288\n5915 60345\n4708 18527\n34305 67350\n16118 73953\n64399 78335\n6105 48264\n5076 95946\n84876 87825\n14457 67076\n73498 87267\n58341 60265\n1399 85501\n35212 49967\n36529 79752\n59362 64778\n76532 82956\n25496 53209\n41060 69470\n14215 88756\n7711 12611\n41026 76106\n73876 79208\n60786 77657\n29702 44996\n30700 53725\n23180 64402\n26538 48179\n56807 87174\n6177 86079\n30727 57631\n38654 62157\n76698 90365\n2126 51446\n54589 61504\n46910 49503\n29549 99588\n58964 65499\n77007 91957\n35440 85918\n31531 90189\n27148 64234\n6793 87121\n50822 80678\n3933 58348\n27307 43782\n8607 95106\n82283 95842\n19967 48194\n44184 99098\n2216 43443\n28239 96852\n13476 70523\n30453 61647\n16866 92406\n8523 29728\n165 89675\n53928 86091\n35783 48339\n11934 72139\n60541 97367\n6082 44980\n76411 94292\n19780 80395\n14951 84384\n4786 93784\n18916 83939\n61217 62564\n72994 95215\n11374 80906\n25077 43297\n56260 71024\n34741 45129\n67210 71330\n66821 94798\n22513 96009\n14767 40497\n1865 14694\n82400 85235\n162 66116\n35901 75882\n53339 64996\n51701 58588\n22003 62466\n39590 75168\n43461 62812\n27607 39576\n9030 87990\n18814 41496\n41801 78364\n21312 38011\n87885 89077\n20410 75496\n13280 47270\n19592 33764\n46273 51393\n19388 45695\n4998 57250\n60174 75332\n36280 44801\n13009 24205\n66151 75905\n66200 98571\n10020 30533\n12585 96476\n9361 91555\n27456 65524\n11373 45293\n4982 47560\n32520 46348\n6172 87347\n29502 72102\n9469 82140\n27740 86916\n16306 35487\n50783 64846\n26930 89013\n21082 35410\n8698 76434\n33602 94483\n37418 70430\n29033 59415\n143 80161\n39200 63847\n73701 80327\n50662 82458\n87803 99524\n17460 98528\n64442 65843\n34174 76383\n23804 34429\n45421 55310\n2128 11921\n14460 67971\n26759 64885\n6492 28704\n10961 93029\n3582 68508\n48410 64064\n21203 52268\n11990 30511\n55624 70189\n75216 97523\n11239 74362\n53944 82869\n19420 97567\n9087 26935\n14853 75241\n7492 56475\n12571 40042\n466 24766\n6029 74593\n11037 38424\n16728 44029\n62046 79297\n20170 96429\n14181 90622\n3846 28448\n10448 90453\n6335 40518\n31355 94160\n2804 86512\n41043 93490\n48431 88415\n46580 69470\n20822 53206\n17659 32952\n38722 98732\n33751 61868\n14699 98581\n454 40775\n32434 77796\n38963 54673\n11631 45306\n36146 68918\n63361 82429\n57317 65213\n67194 94628\n58303 62331\n22481 74130\n337 13065\n58070 89302\n54397 77203\n2543 90520\n54721 57390\n48511 72185\n85140 89608\n2104 94484\n7385 16021\n47820 80239\n10716 21057\n58018 61002\n69753 78926\n62713 64228\n8672 94726\n4609 44356\n50603 90475\n38510 79593\n26322 66881\n71800 98657\n74426 76967\n30243 77372\n12018 22180\n57946 88091\n3373 12976\n23308 41427\n71064 80590\n64363 82264\n15161 81710\n13948 15939\n74886 94411\n2713 59272\n72548 79113\n48138 96217\n4522 54220\n25774 48632\n63622 73484\n83064 85678\n76951 99121\n17338 38191\n67568 67631\n13764 36033\n20874 45279\n1601 38305\n16987 86715\n58442 93266\n2598 89288\n16726 57105\n35450 48218\n41948 77571\n62736 90469\n20374 70700\n78619 96302\n34855 40145\n8989 59303\n76248 98208\n30859 54305\n5984 36397\n49642 99293\n4232 20015\n67982 74411\n25231 60492\n71850 96649\n51944 56729\n46472 62825\n68602 77182\n67184 73687\n62181 67200\n7877 80307\n37891 93866\n68527 71244\n38044 75625\n14652 33169\n10178 53420\n19165 80000\n10120 70291\n10866 62301\n13355 48065\n8870 49920\n33306 91032\n48846 88000\n6515 29988\n23993 92640\n40170 83514\n10371 19739\n73181 98382\n58318 91004\n47172 98555\n2966 57148\n66966 68937\n25187 53866\n5193 34372\n32981 82038\n61573 63563\n30498 84527\n30313 64190\n27654 48971\n32269 95975\n38758 46372\n98136 99903\n58436 79965\n25948 87422\n25187 36380\n2393 89531\n9584 36953\n8150 72343\n3136 14971\n22054 42268\n56703 65742\n63476 90771\n1714 82045\n1733 7603\n14502 53833\n9195 27368\n24978 42873\n69734 72900\n10159 80453\n11917 48489\n10653 18599\n40755 58093\n7834 88585\n25050 32802\n38024 62755\n15267 86255\n30479 91070\n72281 82435\n68816 92254\n55741 85500\n14368 60199\n3928 56546\n16305 96164\n54518 89338\n2733 51576\n38146 49368\n78962 86949\n48974 64423\n37335 37336\n3545 83497\n50133 66839\n82602 88869\n44800 86504\n75101 90252\n8111 77224\n82733 96016\n48248 54605\n17989 55329\n13839 18721\n9187 57344\n5186 31520\n3697 60461\n49612 64293\n54116 90553\n15296 84723\n34977 92038\n1117 35504\n22401 86479\n13572 27426\n32329 71352\n14069 81372\n70722 92802\n17092 96756\n44406 55040\n20752 99211\n30839 50274\n664 45500\n83757 86083\n53580 97627\n6534 59301\n3007 47302\n2056 12186\n45214 97180\n68576 93142\n43981 55429\n35484 94223\n21367 23227\n15797 22121\n72857 83873\n25713 41293\n6154 18296\n69265 85811\n33321 39414\n51360 73714\n68544 80170\n3134 12517\n13041 62070\n26090 75436\n13094 37827\n40157 92016\n4239 57682\n57916 71014\n31818 98848\n11785 44797\n42748 66110\n73652 85280\n8628 71120\n30156 57655\n5941 52160\n6626 56235\n71714 99287\n34468 66371\n80124 93612\n76445 97228\n8618 16362\n27226 61033\n5382 91009\n25353 55360\n44155 45328\n28671 99836\n31072 60875\n30063 38919\n22850 68200\n11365 51070\n54389 90217\n27737 64829\n23499 97081\n54544 87029\n57624 89960\n42848 65884\n7219 85111\n80000 93693\n61692 92700\n9071 74058\n26925 97363\n84436 98231\n6882 14876\n10626 85206\n9409 73989\n43284 55339\n3090 65253\n3442 14655\n54870 67811\n23579 42862\n36742 74015\n47053 95011\n12662 62705\n52286 92221\n20145 46205\n14054 67323\n85949 95468\n15356 32644\n33544 43273\n12604 21467\n23669 41629\n1557 72328\n21830 46254\n52073 71672\n69296 77184\n63113 88927\n53396 97308\n69984 78413\n1547 74776\n7562 47803\n90871 98384\n4959 73049\n8005 88552\n9831 29254\n17957 27687\n59383 85500\n53341 85304\n27046 34779\n38026 50953\n40580 81685\n17760 56360\n20742 24564\n53434 79251\n12689 53117\n16611 47744\n32762 83098\n10468 55161\n17263 85849\n55101 79006\n19766 88018\n20854 27701\n17463 84536\n14660 88177\n64841 81588\n70393 75276\n66893 79543\n38390 70273\n21904 53603\n20268 60710\n15497 93123\n76844 85645\n17945 88260\n13896 80888\n37379 75489\n47911 58640\n2431 47793\n8607 34871\n45873 55733\n19761 45151\n2461 23502\n7498 98079\n32935 43982\n14659 54366\n70006 74651\n1474 45062\n42280 55376\n30721 77510\n20429 92366\n29713 75076\n25554 87989\n65569 67207\n24836 84409\n21110 52401\n81741 98247\n54355 70955\n55186 67550\n33514 75238\n3055 66036\n14422 98041\n2942 64037\n87625 87838\n28179 57397\n7547 44504\n53779 61339\n49944 61542\n35975 77781\n39559 98112\n29848 30355\n7325 58828\n3311 56582\n12343 21749\n4348 84244\n3394 64740\n70206 94508\n31595 75871\n12243 88361\n80980 97989\n16084 51987\n33509 37216\n33758 86112\n35142 88641\n27667 90094\n57279 90256\n48090 82576\n14456 71460\n54094 64707\n71351 96899\n2018 73060\n22801 72370\n87904 92219\n24991 70791\n73029 83748\n25356 55208\n35882 50488\n33901 58596\n29612 44636\n43197 48433\n57702 76605\n27250 44133\n9231 77343\n61244 97622\n42346 51012\n13183 28442\n13043 90020\n3228 52536\n36757 60977\n32949 67154\n61596 95902\n307 31988\n5094 65471\n43128 73378\n20008 35977\n28397 61989\n36293 81162\n25758 74824\n38972 69966\n68538 73374\n40505 43136\n26851 75366\n30563 51987\n1541 88535\n7392 51722\n23184 67773\n34681 35272\n46037 61595\n20670 85440\n7486 68484\n59804 76406\n48384 95645\n10614 89732\n26232 70647\n74791 81378\n43672 71684\n20044 23184\n30956 86537\n366 69978\n42787 66788\n16103 32037\n10643 81193\n41845 92254\n152 13135\n19237 36235\n18113 43418\n74372 95169\n75304 81178\n8127 35597\n42087 65091\n5040 99851\n15783 36297\n77293 96825\n50014 75025\n40664 54156\n19337 76093\n10648 59760\n9403 65858\n35774 47587\n1422 70739\n66549 96811\n61632 77167\n8962 84285\n54565 61374\n13872 74065\n13733 99083\n89460 90534\n18351 64461\n31022 59768\n421 42770\n6573 36326\n5335 46460\n1288 76494\n23342 36314\n24984 38043\n16383 78528\n34124 87912\n16947 90258\n33478 57230\n67074 69686\n12955 96766\n17020 17502\n53738 71795\n39239 74336\n32566 58954\n71384 89020\n60517 87086\n68970 83685\n21813 73487\n14397 80253\n47981 71131\n15876 61548\n80478 81276\n66 11465\n16749 96941\n19420 77590\n7503 8301\n17439 67968\n3488 25948\n23756 97411\n53525 87577\n8045 28475\n42333 48450\n8517 93498\n2968 19686\n53271 93684\n47285 99013\n17568 57736\n60309 84661\n10508 11504\n20075 40498\n11980 47356\n67562 77867\n6059 28608\n62713 64120\n66141 87173\n29123 72874\n54051 96519\n8769 10758\n60808 68113\n18703 41577\n19406 73308\n5325 36914\n45017 69437\n8168 76752\n3583 94572\n2376 78963\n61959 83249\n14779 62544\n52235 88942\n35123 35487\n57974 79661\n22302 44473\n48343 76676\n20618 86589\n9234 88697\n36119 81986\n64241 69603\n5637 88770\n69629 98300\n36649 39419\n56011 62653\n57535 59881\n23613 55223\n41100 91699\n68283 82793\n10447 60196\n71615 97296\n40732 61170\n34012 58467\n26674 73554\n316 43154\n14896 57638\n11499 85076\n57720 79751\n71897 94168\n51997 99333\n38436 67681\n48889 79091\n24908 80385\n68310 99566\n15191 34390\n46611 59147\n63217 81049\n32567 74035\n13803 74926\n89687 91671\n1277 87539\n20528 87540\n13452 83334\n73575 89237\n25428 44694\n3968 37105\n55966 91951\n8800 17557\n27972 60979\n14982 25127\n36104 46717\n12557 50664\n56930 57820\n5474 56639\n81755 91188\n17369 64083\n14804 50217\n13872 73653\n10932 23673\n17341 80774\n47224 49968\n80455 82845\n14670 83345\n60912 71489\n28491 98740\n72900 84322\n37816 91235\n19130 26457\n47549 93269\n44535 81010\n27606 33946\n34461 76276\n20477 28027\n20945 56655\n6600 63467\n27530 73013\n31518 97303\n56180 96876\n48122 80230\n39714 85064\n34912 77541\n82425 93813\n20999 37637\n64420 73907\n2231 88862\n147 9301\n59689 64340\n48571 74109\n55163 96684\n79372 82313\n3114 86774\n68017 80132\n36392 66714\n30724 46515\n40111 91048\n48367 75711\n48644 79322\n11212 83190\n22545 42919\n43531 62746\n6708 99682\n59030 73333\n66603 69383\n24119 44355\n47031 86259\n19552 92939\n47258 68184\n32772 62537\n15584 79973\n10808 79479\n1926 45772\n46656 51320\n26757 62995\n170 21214\n16403 37696\n23311 98524\n58675 77308\n30793 56427\n44362 73084\n4675 87063\n4508 44121\n56504 94204\n69583 84437\n47715 87384\n13556 74048\n20517 33977\n42536 82391\n55475 67851\n55818 69380\n36271 63183\n76496 91036\n18064 27191\n56154 97237\n1530 97416\n2748 13860\n9828 58959\n31775 38654\n5709 94715\n26445 99233\n73725 89672\n10208 80515\n33669 75826\n44175 64312\n42309 85340\n6711 46356\n6373 24567\n7551 51879\n35914 81448\n36707 41217\n8788 24971\n32579 93094\n15503 60825\n50286 74074\n2471 88776\n10628 14112\n1542 89614\n35061 49422\n84247 88867\n13752 55256\n75126 98298\n4103 62100\n821 54072\n84140 95467\n14139 46903\n828 22949\n88988 92472\n18887 40862\n41311 51136\n46059 87765\n3474 64133\n72417 90118\n32020 41722\n41196 69532\n2371 56308\n88454 90219\n41295 86258\n20312 90807\n1486 28357\n20111 83990\n36627 87924\n952 85947\n67245 76318\n22518 86886\n37246 90872\n33525 65953\n12706 22652\n40001 78701\n2063 19271\n72131 94207\n23766 96079\n26272 74148\n13891 40704\n9934 86839\n68489 86359\n41616 76083\n6277 8754\n33856 89909\n25069 91246\n7671 96121\n5380 17794\n27219 78172\n41602 92555\n28839 80440\n16831 27191\n14199 41420\n38972 96696\n2330 19576\n71339 84744\n21107 54807\n44545 90257\n64526 97126\n2852 48516\n6974 69247\n1913 60646\n45035 45613\n10985 22405\n71219 97084\n6155 31753\n36905 90002\n8007 29239\n41885 64376\n19907 78704\n66126 99115\n72896 84251\n7320 46051\n18795 69486\n3109 11672\n29963 69221\n58132 67492\n513 87103\n68831 87066\n9936 21897\n16582 37652\n26549 34730\n1365 79515\n21109 82585\n29298 72510\n49595 97955\n16313 34187\n11018 65139\n31906 58196\n5821 16211\n72799 86745\n28532 28930\n16464 93949\n56220 64478\n74381 79698\n3533 23512\n66114 71576\n3535 58758\n23342 89786\n13183 48918\n9724 15344\n60914 92154\n63321 78248\n24801 68438\n33166 86078\n16325 64924\n16539 42214\n31021 95172\n48564 56596\n87538 90670\n7244 96806\n5011 84250\n37354 56375\n33827 82546\n11430 23286\n1934 5911\n3518 9857\n74658 97962\n22735 37240\n32983 57836\n12568 35256\n44857 45929\n56684 75382\n15648 77057\n41306 85262\n6858 52378\n5107 54500\n58068 93992\n47117 64855\n41370 63433\n44284 81941\n61481 93392\n2492 36806\n47798 48078\n18660 92715\n17578 92672\n40023 96630\n48555 71995\n43902 74843\n82967 97647\n29656 98843\n3884 67493\n55232 60002\n31798 67450\n46476 85824\n29011 38706\n56870 67430\n841 21031\n11819 68709\n20763 78257\n25538 70547\n1699 62116\n13332 68288\n22177 39302\n47117 97178\n23112 54470\n21048 60378\n75423 98890\n47016 66682\n8542 54758\n35752 75331\n9062 97317\n8803 59263\n43510 84795\n29436 47043\n78821 86488\n51178 68978\n12049 31121\n55192 77148\n45690 59050\n11153 64503\n13414 45307\n51922 53260\n29190 30583\n5670 62927\n13345 88664\n47463 62821\n11243 15672\n3432 12321\n35204 58171\n32862 71879\n85445 98679\n70394 81385\n45361 53742\n19208 74180\n70365 71308\n24532 80797\n15795 23064\n14993 67887\n9728 54868\n34906 90823\n47338 64802\n7267 41060\n90181 94780\n15950 57287\n19747 62540\n4142 62325\n3884 8298\n65667 96593\n68303 93177\n54505 56588\n15585 30007\n23079 95050\n18176 71661\n66887 76758\n36072 39664\n11678 41668\n10819 58625\n32953 44631\n33616 85496\n35414 51727\n44494 76359\n29753 69876\n20656 65988\n53560 59085\n11692 86907\n33858 60117\n12853 89994\n68202 85715\n22460 96334\n34925 45447\n12884 22876\n12530 91345\n32624 88919\n13092 84082\n5686 15501\n83682 93354\n4815 52471\n30385 70836\n27033 75408\n15063 76793\n29308 38489\n33232 69076\n29208 95880\n29523 53495\n1260 77238\n53779 65333\n19215 65840\n498 16378\n12778 39107\n22641 28027\n6580 64461\n1739 77332\n24329 28527\n9853 52651\n24099 42056\n38559 45470\n3339 60015\n1850 66129\n17038 25387\n3908 73071\n9276 54062\n29674 95535\n7042 97941\n14368 87413\n66268 69184\n5209 87789\n47067 97698\n14779 80817\n31275 90518\n25195 41382\n5000 81810\n44414 52328\n69379 84684\n50157 74564\n12105 89484\n43117 87369\n486 85242\n75232 98271\n57660 68757\n55357 64477\n37670 49490\n71182 81378\n57749 69399\n11682 29551\n23835 24763\n181 58196\n45236 51805\n42293 94982\n35720 44801\n39497 62369\n18846 27573\n57275 75545\n16864 18799\n37780 70067\n53704 67411\n11637 11725\n1958 62831\n3447 64167\n20266 99551\n53190 72141\n73612 87641\n13434 27130\n46881 77676\n74290 83815\n187 13810\n43485 89615\n13794 42800\n48897 56279\n52039 89332\n33315 78599\n84282 95193\n24663 45602\n46264 72716\n58290 93702\n50513 77413\n32 13133\n33761 64533\n4119 73589\n57752 67029\n76125 89175\n8448 10437\n32932 94247\n5913 85194\n25968 42272\n47378 57412\n84343 91470\n10279 27198\n4292 68280\n43773 89020\n61876 77901\n17028 65387\n9374 98129\n42013 86323\n10721 42178\n56051 63478\n35160 43073\n11507 99167\n11273 33442\n89546 95741\n67913 95027\n10476 66156\n36615 48594\n27657 85547\n1580 93871\n71334 94570\n24684 50254\n1429 19307\n3946 29688\n63213 81346\n22828 27186\n3105 69127\n25357 67604\n3628 42012\n5501 74178\n2996 18119\n31106 44795\n39820 41467\n6728 98753\n15762 74077\n44014 59612\n19303 92127\n87320 87426\n5755 81002\n58005 60425\n50561 90201\n2472 31559\n5117 57937\n43647 72019\n19814 34048\n14058 24889\n10251 90324\n8318 84877\n37232 68478\n37434 69586\n42164 69030\n10224 10292\n32786 60108\n30544 47418\n66965 96032\n68650 69365\n93616 96230\n47278 87306\n34499 63951\n46868 50625\n34245 80200\n38909 42820\n3237 85175\n21871 35185\n61602 88635\n12989 93791\n77120 92610\n58948 92970\n63306 83171\n10248 13749\n51551 90525\n86361 96920\n2856 60121\n10028 24552\n1881 51879\n20539 48962\n54693 55098\n19782 85806\n64635 67385\n37562 81530\n83820 98175\n14768 38509\n85171 85505\n27008 45218\n57873 72315\n15399 38750\n17631 81063\n53977 70000\n54406 55890\n59151 75850\n2276 52842\n6462 66328\n58237 65029\n20176 23849\n70979 99054\n57971 94801\n15877 21755\n654 20113\n951 2539\n8153 52383\n81959 98395\n84053 89845\n20996 34675\n59705 66876\n53062 73200\n87548 99767\n12212 70838\n35301 59769\n9305 88533\n8930 91676\n30822 87209\n10324 84365\n64390 82921\n16341 90335\n75463 78425\n31004 48080\n90790 99290\n44145 71190\n80115 97985\n16499 92612\n49688 50506\n26891 36269\n14284 97126\n23291 81071\n35410 50430\n59034 62506\n17814 77843\n2098 35458\n63716 70484\n45041 99764\n28946 55656\n32534 87686\n73727 94143\n78426 90380\n47622 81466\n45834 92200\n67024 85444\n7496 48386\n19571 78773\n42235 64995\n3898 90434\n31963 43812\n14883 63519\n50712 76665\n13367 74830\n39185 72359\n1644 9080\n39172 73773\n45045 60909\n57425 93732\n47648 52164\n87322 95210\n65484 68186\n46518 92634\n48060 62990\n22634 33438\n39415 69608\n47559 87067\n8197 26174\n16102 79838\n33241 59211\n20944 37646\n15809 27537\n30549 81065\n15622 17697\n16218 25172\n5544 83466\n23741 31434\n44614 73473\n311 9867\n89468 96138\n22400 92381\n81241 84269\n6845 63465\n30069 35576\n14453 24973\n79663 89240\n26360 34602\n33266 62053\n12472 59960\n88486 92526\n734 27551\n38814 69895\n46472 51527\n21333 76284\n37064 64975\n5650 34568\n14319 52857\n6615 66955\n38767 73240\n61671 68753\n52207 65394\n44504 82669\n3140 71306\n20123 64132\n41750 46059\n59692 95821\n86934 98480\n26000 73351\n79242 81907\n39400 63700\n7009 92329\n46164 57692\n1815 76082\n16034 83896\n36859 54073\n6961 7143\n35482 91426\n2395 67762\n53282 54823\n2484 14516\n48358 68837\n21017 74693\n20064 62570\n19006 98715\n50811 56750\n13095 23636\n40667 93507\n11879 99916\n16975 68377\n48449 91847\n519 97003\n51015 89013\n75401 81011\n34364 92274\n26273 30259\n24562 52624\n70964 98438\n32589 95531\n42759 88676\n28887 69310\n31849 78047\n1102 78281\n20470 51703\n57418 69115\n93953 95424\n56580 90222\n13939 85454\n30174 59558\n15174 90626\n6304 40734\n7191 19028\n1435 69631\n8801 22889\n28040 77003\n26774 75093\n50458 86786\n95918 98610\n78063 90175\n22448 56125\n8023 38487\n11800 57978\n1821 84886\n73422 75277\n47849 82433\n60151 90895\n56805 87027\n54573 64844\n26757 92386\n71639 81107\n26360 34266\n50559 54549\n9627 91313\n44154 71709\n46871 72305\n44877 92775\n47420 68754\n69041 79565\n34814 83792\n71761 94694\n56900 99822\n42312 67009\n19870 93318\n82685 91915\n22475 71363\n49450 80824\n9506 47471\n10223 29375\n75810 80471\n10270 99118\n40187 64472\n13363 52078\n24835 35151\n23641 82079\n31262 88026\n43496 67867\n95201 97875\n3239 8403\n2491 8558\n34316 65997\n68421 77455\n4031 24354\n73717 92951\n12836 35627\n83753 87821\n32032 65090\n2346 83272\n59260 94102\n21931 80324\n27428 87220\n34515 88389\n59987 85362\n10030 82028\n73407 93222\n5171 29203\n98370 99111\n1803 49292\n43860 55525\n28794 37554\n11392 46700\n661 46275\n12242 82843\n30555 40792\n50234 63875\n11007 98824\n64881 65030\n23131 60691\n70288 89229\n14305 26085\n36029 46630\n45638 89109\n67924 99697\n14128 45483\n52752 64740\n76208 76682\n28403 42496\n45806 59621\n21164 35186\n13120 60485\n6714 68929\n47528 86466\n19457 35065\n79908 83435\n18035 46008\n4365 98737\n28895 38858\n54885 99772\n13436 94569\n11950 60417\n70827 92472\n21577 59483\n12475 91550\n49049 85696\n6217 75500\n62993 79031\n6478 62024\n1796 42052\n78761 92155\n10202 92873\n12434 63448\n36397 73669\n26982 72141\n38298 73172\n48556 98793\n484 28852\n83529 95849\n57889 85365\n22950 52567\n23065 92300\n14513 83492\n31170 89165\n66571 79841\n1506 29891\n57049 67947\n57647 71271\n13211 20630\n32385 60101\n28690 74059\n84279 87704\n70970 96419\n2233 14449\n51214 74426\n63873 74741\n1932 37759\n17725 44948\n26318 83789\n1287 61964\n34140 36296\n50928 69340\n34669 92635\n16950 56000\n13337 31214\n46215 60139\n35062 72230\n8298 47726\n37019 46965\n43169 67673\n57889 94267\n12790 87929\n40423 76641\n33921 51795\n77563 81892\n75432 89491\n42162 67772\n39988 44875\n79379 97276\n51506 84916\n29652 88394\n38302 71850\n42343 87053\n72760 91537\n48729 96419\n61000 93875\n1694 27904\n20436 78623\n21455 62460\n20059 81595\n3467 47634\n10877 29435\n2874 28156\n174 68813\n7614 49680\n26227 64645\n42877 74232\n10009 51233\n49549 56686\n44503 99636\n20603 82668\n47887 52010\n12161 16370\n12003 40151\n21427 85359\n80487 81279\n62514 89700\n88963 99571\n42699 44571\n2515 38425\n78876 98196\n16119 76558\n46584 61383\n46116 56002\n11438 13452\n47991 87254\n30407 52937\n64007 93865\n63038 69775\n32424 71138\n11133 23400\n14656 60970\n67668 76512\n79186 89324\n54692 84239\n21241 56700\n7637 81509\n35153 59244\n1012 46603\n12457 18156\n40258 69274\n64390 84629\n39852 47259\n43041 91469\n56342 59407\n50565 93753\n24332 66334\n19820 21424\n12467 13965\n2715 42575\n47190 65247\n47219 58465\n16997 56926\n12358 41713\n21819 46365\n8891 69460\n48278 97364\n78041 97157\n68964 70131\n1506 40166\n29328 49228\n29585 87621\n1349 82586\n36387 90216\n3107 65192\n16573 53804\n4400 13966\n29719 77622\n1584 53444\n1698 70629\n1150 70889\n14182 95749\n1040 13404\n44569 86224\n47545 81128\n44007 92535\n2628 7542\n38351 62960\n37519 84177\n26092 81894\n49676 74593\n9046 58441\n2411 73185\n56843 58826\n24598 28925\n9878 78003\n34604 81714\n22121 59649\n52023 76877\n11299 31470\n51376 86233\n69441 83870\n55548 95742\n42232 80398\n4870 98591\n12498 46524\n52910 88070\n7191 99519\n55258 95892\n26824 33819\n24495 44247\n24203 37342\n14403 69224\n80087 94345\n72643 81397\n45006 77786\n16897 90410\n38417 42239\n50325 83214\n3131 8940\n9442 88660\n1695 75086\n5575 30071\n11407 22696\n75182 86666\n28262 78728\n7283 73560\n8927 88526\n87406 91004\n65355 69149\n56410 59375\n31038 37531\n45791 73122\n18896 80463\n9741 96347\n6862 15904\n29106 73627\n14706 52208\n5880 31367\n657 78279\n83296 86947\n1678 92725\n66660 66992\n11908 82514\n45444 59553\n41726 48981\n32449 82865\n55710 82674\n42009 56932\n27082 98727\n85493 97816\n31255 87643\n23146 44825\n62076 67644\n26241 35642\n21729 91118\n21313 96537\n12176 46715\n32301 36159\n18888 67210\n61342 80794\n15292 38959\n38338 49349\n2767 35809\n34214 41881\n45728 72539\n45 96309\n6829 53716\n52456 54955\n64394 87104\n16328 74509\n15654 20409\n45318 85255\n7124 45599\n24648 56978\n33149 37810\n13291 41100\n15869 32772\n40879 56778\n52800 53591\n6732 20080\n66009 73592\n59156 77494\n3826 16039\n7339 36105\n36841 45417\n77946 84989\n50717 91289\n57845 81941\n45245 61591\n2680 23263\n78994 80285\n23347 77450\n15897 52354\n15320 16953\n18683 22039\n12147 13233\n31878 72323\n48183 67302\n44505 83166\n67183 85872\n6766 62957\n24493 80478\n4743 13902\n21398 66618\n50335 91745\n16943 33395\n25784 92349\n22751 89597\n71865 77858\n1448 6263\n14933 54973\n41233 66347\n33290 57825\n25677 98464\n45160 79508\n50050 95339\n53922 87256\n14442 17784\n48106 70695\n16810 41424\n4284 5845\n29630 74941\n11553 33127\n29471 37725\n52214 88431\n18015 70828\n8370 23210\n56111 70594\n10313 63549\n3837 95137\n39790 45740\n2074 56469\n49706 89064\n8744 55780\n81498 85356\n12355 38421\n83137 96048\n27980 81491\n65936 96276\n7589 79505\n94791 95066\n34919 52429\n8411 8987\n27662 51774\n49385 76906\n48974 65387\n46448 66669\n85893 92089\n19062 69550\n7805 10633\n51509 99356\n8941 62266\n13570 38464\n66889 79919\n41075 96717\n16296 50771\n65258 94401\n3176 90373\n10853 18675\n43579 51138\n55239 69643\n71543 95617\n56251 89636\n31239 33715\n17427 84798\n5743 52986\n44372 55501\n20115 53495\n15347 75622\n19134 70984\n35419 78129\n56269 94952\n17497 18495\n12294 14586\n41506 77491\n37571 41055\n75123 83739\n19234 20954\n39449 79160\n32536 44830\n889 99386\n14339 52845\n40964 71652\n28054 96808\n33029 64883\n16988 68686\n70641 87936\n84792 92815\n90977 95913\n21251 29537\n59098 84790\n11425 21133\n32474 64287\n71989 92222\n60691 74933\n14030 68693\n10091 42945\n47 24228\n54099 95528\n63642 64718\n7306 37251\n15236 37183\n18626 64241\n27890 57627\n68059 78311\n19898 35885\n8760 39339\n6545 36419\n7345 20134\n15093 38888\n34274 39135\n80335 80403\n32636 55239\n37485 39181\n46 79106\n15434 31704\n46481 54078\n15494 57807\n50633 81460\n6638 71259\n25910 41825\n73300 90883\n6917 16914\n14985 58223\n17822 57962\n55147 72108\n7504 55763\n53807 84847\n87272 99423\n63117 69032\n1321 22042\n37809 90889\n22881 23542\n895 25411\n72628 88805\n11681 28761\n58384 91717\n23820 59924\n12520 91700\n8116 26175\n22830 89923\n3234 62927\n1976 46996\n999 19229\n12951 34736\n1421 58547\n7140 76312\n78130 89920\n8169 29939\n14226 78751\n47703 83159\n33738 50077\n70162 94968\n19568 27151\n2459 52435\n28793 36394\n20739 48087\n30113 39041\n62170 97649\n43108 84539\n71978 96408\n58684 71046\n12088 70677\n8770 15389\n61872 86041\n56332 59271\n45490 73730\n63148 89606\n25105 36266\n20196 22929\n64814 80362\n24414 98523\n7979 28249\n40404 43570\n37 49311\n35011 77163\n48369 65235\n40065 94418\n49917 81864\n32393 88353\n24735 46967\n23031 69373\n44692 59878\n13120 62710\n7216 35107\n15093 70490\n18266 90124\n48082 98648\n5722 82205\n60317 65739\n17606 95501\n11585 96646\n30100 94224\n31030 58024\n79281 85122\n4679 80445\n23809 79514\n45595 62471\n77789 96429\n50335 81178\n75404 79855\n35441 98374\n724 9361\n29785 76075\n11681 71044\n27541 54977\n4779 70193\n36366 51087\n852 80931\n61355 73997\n16755 55385\n23141 44991\n19296 79796\n9419 49158\n68677 71500\n56044 77915\n68472 77662\n64102 89538\n28244 37316\n56758 74896\n20164 88593\n47081 91333\n28723 35416\n78768 87713\n32688 79282\n13160 31346\n27438 63287\n46038 86322\n17359 74516\n3243 27681\n45776 81676\n23877 29597\n54953 58995\n27389 67828\n95481 95920\n11122 35669\n10230 23394\n92237 94903\n29848 74105\n64197 96825\n5848 92025\n34053 99378\n9569 55384\n28500 51793\n3036 75080\n42089 42175\n23264 44356\n22603 89182\n55188 62056\n37510 73171\n10789 18742\n56356 73584\n17793 58024\n35210 52007\n86779 96346\n87330 99460\n198 63553\n28248 85699\n40858 62957\n13340 79175\n31745 73737\n65251 77438\n66553 72344\n2748 73987\n75904 78401\n65251 83829\n24296 36792\n19934 61441\n71929 80231\n12064 46673\n8783 28283\n8318 21546\n7639 46432\n54737 56398\n53115 69591\n28931 91371\n18637 77968\n46689 82456\n8488 30875\n54854 83432\n3654 45124\n58941 77376\n17863 58175\n82637 87223\n58539 58656\n20202 26990\n23264 88740\n36713 67167\n6687 99311\n27675 76347\n48779 55291\n52700 98738\n10663 11763\n34423 77350\n7394 84828\n5223 18543\n32423 73538\n7959 17695\n67077 75019\n4307 94914\n79644 82693\n6036 83313\n73653 86430\n9166 98118\n8709 58546\n32747 47635\n11723 28469\n25693 37982\n13584 62819\n38907 85745\n29930 51001\n10803 71441\n34674 56491\n37759 80520\n37887 91198\n6062 7091\n61195 86951\n22471 54652\n6423 35172\n29643 41514\n36174 84366\n37408 99924\n23961 92772\n63472 91280\n46737 57790\n45582 69792\n30491 34002\n79100 89042\n11262 32477\n78234 99658\n6479 8481\n36944 79460\n12736 55227\n18826 85723\n5001 19530\n50277 73949\n1209 66216\n11950 31981\n55704 82097\n25290 34931\n58020 69058\n28052 71640\n12910 99898\n27865 88087\n64941 69928\n53928 65603\n25832 32437\n14925 96056\n7618 94422\n33890 89782\n4194 99824\n27615 33591\n41671 42283\n46502 76049\n42271 48321\n63714 67009\n15759 74769\n63706 66446\n30388 56956\n89434 98979\n38053 47310\n2983 69330\n31296 60891\n35189 65760\n34705 49039\n7681 83249\n11826 47094\n1991 17302\n5322 93122\n51634 72634\n19016 42115\n32427 37437\n21331 48524\n43881 48367\n46670 85613\n33247 81087\n82907 94872\n87964 95269\n18545 58829\n23273 88256\n74072 79798\n62001 71330\n21309 42833\n48957 83930\n40446 99507\n37740 83437\n18064 87721\n18371 57838\n18068 24192\n40407 68627\n8646 15487\n70813 75726\n89845 91660\n79213 95497\n52136 86611\n9783 64114\n30022 85286\n9402 88376\n25012 26693\n22008 31492\n14365 32356\n19027 24403\n14040 94400\n666 48591\n17385 82600\n67232 85534\n155 84404\n69037 84258\n42811 93983\n21979 29921\n31381 48626\n10308 81623\n24763 76309\n28829 68336\n59160 80867\n24477 99146\n15467 96942\n11844 28465\n62984 93845\n2214 26561\n68909 71104\n23998 80414\n12873 69560\n77558 83691\n37232 43777\n40488 54780\n6320 68572\n23372 43150\n8940 89459\n28464 49218\n14589 35995\n12474 66690\n14981 33304\n31113 49527\n62060 63582\n35335 72841\n32385 95868\n29889 53714\n59649 90437\n63609 93580\n12601 42919\n41208 69049\n22541 66364\n19021 36830\n85516 94139\n44418 99941\n22889 89867\n70305 95368\n5036 36074\n2268 87022\n20186 32749\n3274 63656\n45414 91214\n24995 81454\n8935 90979\n40799 62077\n6169 34006\n2041 53693\n58812 75832\n67909 86622\n29734 38021\n31320 99379\n46694 93189\n66271 85626\n69839 95602\n10390 95508\n77607 84379\n19382 54604\n19630 47259\n43148 70801\n64450 95920\n49131 64406\n13179 98570\n42059 43523\n862 77024\n33531 49103\n39449 83984\n48228 83237\n89401 98801\n20000 34357\n42756 72687\n90701 96692\n888 48271\n8471 58698\n12766 31548\n45703 96040\n61302 61303\n47753 93583\n2964 24417\n48782 92812\n42727 77724\n17755 45198\n36740 60256\n6974 35011\n12796 72400\n26535 94611\n57860 64851\n20013 26687\n803 9136\n31487 82789\n32586 85320\n88000 88898\n14418 29603\n29249 96372\n1244 23079\n5943 20557\n11968 95072\n30153 96861\n36674 72149\n47790 90760\n73988 99082\n53669 56864\n9747 67421\n35732 62730\n17634 29764\n57669 61828\n42264 88515\n54839 75687\n5505 20762\n7633 16862\n38999 54839\n43934 48161\n44627 81114\n18886 98760\n9713 58702\n17455 69382\n61501 63095\n44934 85233\n56117 70620\n29736 81212\n81538 95769\n71582 98732\n27205 55874\n21889 29480\n40812 63225\n1583 17368\n26058 68004\n38951 65841\n14662 25706\n16091 70044\n5551 23749\n43329 69518\n15281 49874\n61626 71169\n81506 93268\n52252 85156\n21236 37553\n27979 66823\n11035 71293\n23877 66810\n16832 67901\n68311 69440\n31973 60082\n50096 61288\n44780 54736\n22988 52148\n43579 72901\n3181 92586\n17132 35556\n72502 80412\n37578 47711\n73843 94907\n22204 26834\n61622 67478\n77627 83165\n1657 59464\n85134 89619\n1881 51981\n9702 27982\n53076 62434\n2739 42379\n17700 34304\n12488 20017\n38214 77755\n43063 75943\n22700 53467\n5400 38832\n25627 92984\n52030 63667\n10018 12789\n7970 92237\n16768 52182\n66822 80039\n35526 44251\n23555 73552\n8410 8427\n28902 56916\n66283 68901\n23415 93715\n64087 98740\n37629 88431\n4673 12432\n25363 90665\n66359 93305\n128 26586\n44207 87038\n2680 34944\n83123 90553\n1585 69646\n43241 66309\n52223 83476\n54191 68842\n11301 33311\n30230 41682\n12014 60291\n24342 47907\n102 36175\n32079 78111\n31112 78352\n35351 47180\n2878 13260\n34237 98436\n7493 17505\n25677 36585\n59268 71439\n24662 59439\n46854 73462\n51383 96287\n81424 93669\n7893 52387\n52218 78407\n8019 17872\n51971 98765\n46864 91924\n33191 79409\n64846 80129\n3979 57394\n86081 96647\n32667 35002\n62773 92028\n9291 75782\n43466 53358\n32991 34152\n47412 74442\n34610 82180\n24284 47001\n33856 59926\n24530 42239\n25048 29655\n48119 77096\n13245 17893\n5656 29399\n245 87167\n30189 85483\n4001 88767\n10169 16238\n79372 83881\n46201 94481\n38413 70684\n48523 98728\n5449 34240\n37365 84935\n14562 15209\n29101 66603\n38146 61917\n96 5039\n6728 30897\n69591 86733\n25449 69913\n1768 94919\n8260 58751\n48227 59400\n62472 97829\n15263 66521\n17473 51809\n39673 74362\n36493 91353\n32183 35513\n5132 73974\n19833 59246\n76346 77780\n50505 84453\n74714 88494\n44881 60247\n23174 96912\n33651 35760\n53619 77937\n19463 47330\n52046 97999\n31574 85581\n62897 74184\n7057 7720\n14081 82513\n38470 89385\n16014 17406\n76721 96748\n42587 83011\n57785 97682\n66888 81721\n65674 70474\n11679 96736\n38087 49457\n63654 72173\n4831 43819\n22917 64237\n20870 69605\n5196 64038\n29353 74715\n26000 44902\n51914 93016\n7379 35448\n24616 61235\n76853 92467\n55402 55462\n71825 80909\n46145 86790\n61769 79909\n4917 21339\n19241 42156\n53375 80339\n40380 55918\n13495 16488\n9852 85131\n24056 96807\n42577 62161\n18251 97308\n8235 54193\n32262 33820\n38577 66110\n18765 79650\n33 23090\n23575 61698\n14611 90808\n60916 74430\n7045 85114\n14551 97437\n31296 52138\n26037 81768\n658 11086\n41875 80424\n68864 96002\n6769 93051\n37347 69816\n34297 34358\n19545 37572\n66679 67450\n68188 78340\n26015 44894\n4618 8024\n29603 97298\n35340 47696\n42215 68820\n6843 91250\n67293 97717\n85016 96929\n2607 20116\n34234 35120\n79620 95896\n6810 79982\n17861 32946\n26724 33153\n18656 30062\n39816 51902\n29299 92869\n14285 21548\n13724 90421\n58405 77908\n55770 97278\n38973 83308\n31660 35216\n83317 99763\n9018 37544\n14440 29037\n4356 16443\n33753 75306\n627 73083\n45491 90912\n40946 97596\n44448 74147\n15370 25460\n27138 31776\n10835 29759\n5942 21493\n27054 91185\n30960 72471\n6897 99890\n15728 36137\n29233 40835\n13885 66187\n18309 96568\n35658 48624\n33181 91937\n68729 71128\n70827 98275\n29009 44505\n60404 97799\n13220 66858\n21768 35641\n38853 80618\n65872 74979\n35527 36266\n4167 81753\n8978 10068\n38165 48622\n9461 98550\n3104 23741\n11098 12526\n57460 91756\n26176 50858\n40192 84924\n10231 28119\n19097 75245\n4152 39862\n26711 44288\n53480 99199\n18231 64852\n80621 83494\n74644 75014\n5835 37205\n44145 88115\n5072 22664\n8227 29383\n83011 99370\n12316 77844\n10966 51834\n28002 31906\n12649 45569\n3342 94477\n1326 61962\n2380 25628\n85147 92473\n9395 26899\n51571 86052\n84570 91115\n22017 42186\n23172 78122\n29253 82975\n62511 72673\n59450 78999\n2077 20678\n23077 76910\n23946 24701\n10821 37171\n29993 75089\n14880 68515\n46646 62695\n26879 69474\n13490 95674\n32349 74505\n79689 84522\n21227 52951\n23259 90478\n69866 73721\n70872 72275\n28208 96767\n7735 16796\n70414 81013\n16769 68588\n39794 91805\n29803 59236\n21617 67141\n52137 84150\n6683 17340\n30406 41532\n51356 69473\n35747 71348\n11144 69319\n38127 59817\n35141 59650\n44255 73024\n12428 67485\n9562 47773\n5088 88638\n5793 79255\n18892 39883\n26976 63740\n7994 55574\n24233 89459\n31332 35496\n14238 75089\n70275 80775\n32551 48370\n75143 84766\n13737 14845\n31053 68206\n45347 57683\n29337 36642\n22901 52024\n33067 61368\n16231 49325\n16605 79314\n46389 78882\n33874 45558\n23965 58990\n62890 66603\n74238 97321\n49132 78003\n28297 76798\n41466 51917\n8484 13492\n59668 68548\n21109 34610\n48245 58818\n8192 38009\n24589 33834\n49944 73110\n57554 62428\n20668 88622\n8263 86665\n27506 49599\n39651 53345\n17432 37408\n6495 7236\n61074 72412\n28443 42926\n12358 71410\n30746 98199\n15137 25874\n19852 67356\n4316 49208\n92864 94096\n65950 85307\n19799 78702\n14285 60902\n2829 70727\n26020 58829\n11450 74391\n2079 76437\n447 2175\n64057 78102\n19013 40538\n60778 90080\n72501 73597\n10141 51131\n45849 86396\n40412 58524\n31181 32808\n20516 64514\n37751 50102\n51315 57145\n53363 73773\n54508 78484\n16266 77922\n9459 84832\n84828 92981\n30135 80357\n14564 72131\n58980 62110\n83603 97978\n36552 73367\n67573 99318\n40713 73793\n69519 86225\n62542 84710\n27721 48446\n30200 58265\n46575 85620\n44753 93521\n58488 78175\n5700 53541\n17889 89923\n617 61467\n16186 76249\n11890 55447\n11216 57101\n51623 61454\n84329 86543\n34929 83325\n3640 20371\n33146 52552\n53707 96401\n8245 46560\n60830 94441\n21334 51490\n67128 78541\n7872 68574\n25184 52025\n2543 67142\n37372 40017\n22489 82547\n24582 92071\n54178 90997\n1927 19006\n25454 55385\n6176 76429\n86558 89344\n35823 51938\n63610 99783\n18410 83627\n17886 42758\n10263 73243\n20902 38651\n50947 71624\n17554 31734\n42646 65048\n24229 49866\n20876 36887\n58220 64567\n38884 66867\n7385 40228\n56202 90362\n36388 70280\n9735 30547\n55493 79369\n25282 91499\n25532 79643\n32402 77870\n33288 61354\n30417 40356\n7929 99358\n82884 83202\n21923 54797\n68001 94913\n33039 53261\n23409 57285\n16167 94574\n34185 95775\n52365 82199\n22795 43987\n42942 53743\n55321 87205\n1372 80257\n23046 33242\n70912 75587\n55787 75145\n14929 96962\n90002 97133\n24551 70926\n23433 70370\n4935 27503\n60344 83999\n9458 17535\n56774 95848\n3730 80288\n40126 68517\n33384 56325\n31947 55939\n10681 16278\n25936 39802\n61061 89859\n73729 86728\n20413 99628\n67261 83455\n10313 43674\n14770 17140\n45163 65116\n5043 44447\n47959 99814\n42468 77277\n49319 99041\n71086 94229\n12834 49298\n86122 86354\n37527 55361\n37585 65092\n13073 63543\n12815 19758\n889 50174\n23984 46611\n21300 30783\n20180 33299\n18150 27482\n136 32796\n37216 46683\n38755 58561\n6209 94339\n65644 69016\n3165 70417\n23982 89398\n53575 63771\n10922 21037\n44055 67949\n17662 35935\n15573 32787\n71378 75331\n2071 11617\n16942 31455\n63845 86919\n35632 66746\n2175 42682\n48121 65888\n46727 89009\n56192 71964\n5181 42302\n41877 45248\n95718 97775\n19735 27393\n53859 97715\n23682 93813\n1791 72630\n52285 91321\n4805 56303\n47030 83417\n90664 97390\n30689 68639\n23260 47803\n18651 72441\n25587 54945\n16794 21621\n30431 38629\n75584 84454\n60477 91938\n2409 57595\n56373 71725\n8163 89428\n2339 76070\n32777 56608\n33750 75582\n67072 75280\n26936 69507\n23216 23326\n11035 91138\n52901 55646\n86035 98699\n37060 96571\n12167 36338\n19307 28030\n85230 85785\n31640 40370\n75684 97264\n46056 47753\n55139 83030\n58256 87145\n42323 84444\n68724 99166\n651 21275\n42702 72811\n38009 71744\n41206 50205\n34927 36370\n40857 47462\n67449 90171\n27354 29490\n23507 27230\n23253 25161\n23477 97028\n4861 86802\n17822 74296\n29529 96709\n21535 76186\n14665 80576\n38369 92510\n9466 44029\n71364 98172\n70027 79568\n23657 91000\n92471 96246\n11798 73174\n79161 96055\n57076 78607\n22643 27043\n15764 38112\n44498 97219\n5845 61380\n27042 62032\n28111 87326\n63627 75499\n9737 92938\n69641 90791\n2100 26693\n35723 88885\n47215 53890\n76889 96825\n1227 45985\n16492 39047\n11700 86201\n1138 21671\n36444 88436\n1215 36703\n13665 75289\n50628 59219\n70646 93346\n77625 78964\n7594 33774\n20882 43955\n2719 38612\n22592 49344\n32510 80044\n30034 56814\n11451 34230\n5755 43724\n49213 85272\n2496 90920\n53260 62287\n28743 40663\n55681 88931\n41081 44001\n46040 78919\n12695 84122\n61106 80426\n26458 83565\n24908 29991\n44562 58756\n4248 94500\n2256 27257\n106 63020\n9491 34274\n22918 37232\n67837 87749\n5339 38942\n51209 61248\n32257 99033\n14122 19710\n14285 39942\n7773 21747\n33808 68158\n3681 42205\n25327 95170\n60686 63948\n12084 55157\n28483 36515\n23579 36183\n85349 90209\n15049 51460\n55519 76373\n18857 99914\n11638 28722\n82983 98945\n83333 90792\n40301 97605\n45430 81942\n88531 89836\n19226 77465\n26257 82619\n10541 67737\n94509 95667\n65594 68179\n24317 30653\n66817 79320\n20438 58698\n25381 38904\n92212 93777\n19718 66820\n12150 85082\n619 25610\n63197 64304\n22396 82630\n25108 98265\n4713 22564\n3109 24624\n43805 89702\n23375 36471\n28994 92512\n8836 70796\n41360 49638\n64028 82483\n18637 59861\n9550 25381\n60008 79293\n53044 78305\n72954 96643\n2165 63985\n3992 86779\n91265 94490\n34474 78206\n16227 47038\n10098 58755\n38705 48113\n21719 81712\n73689 98524\n48384 85572\n17413 55647\n42355 85010\n3210 33408\n37866 40151\n46410 88112\n62500 69937\n18357 70026\n51251 82338\n34561 81749\n68015 90174\n23874 99407\n324 81795\n34495 41226\n9130 81599\n53788 65651\n85781 89879\n26402 51259\n77668 99997\n38897 78492\n65164 76758\n56970 90525\n13629 47751\n5889 89468\n14148 49192\n9181 81894\n6075 47924\n15376 26016\n36100 91727\n4673 30806\n64042 93885\n63206 92466\n2152 82062\n7527 8774\n1124 87838\n54895 71972\n45000 57703\n18736 75288\n27651 92551\n11801 86642\n29372 57847\n4581 57655\n47985 96825\n22967 54593\n23176 39268\n28520 61572\n38433 84545\n43452 86281\n43294 73745\n57922 79059\n35197 44913\n21664 45354\n16018 44213\n24138 29852\n3961 44196\n55968 96054\n1800 4478\n59873 96443\n9954 79010\n35831 75006\n21536 90790\n4740 8852\n53380 97526\n33272 79197\n12615 50327\n13264 84816\n10289 49204\n87316 98077\n85086 98779\n81966 96899\n9599 64473\n4362 14523\n56123 56628\n51021 92641\n49057 96431\n21857 61784\n23546 31701\n14792 26745\n21192 54951\n26528 55115\n55160 98061\n9138 66291\n72258 96683\n69826 98985\n13983 43362\n74959 97628\n14596 48066\n66688 87996\n65589 80504\n29069 73453\n56991 57996\n4151 66759\n635 92300\n13840 38239\n1660 83249\n42749 67466\n10224 26133\n9951 74843\n27032 48206\n48336 60100\n973 92567\n55934 86863\n53346 81659\n53797 70548\n36906 52270\n56524 92826\n80414 97484\n30460 40432\n12898 78312\n4147 6631\n28747 55471\n67874 83389\n13634 74222\n80963 89005\n35303 87103\n43223 92097\n50986 59464\n12518 31908\n10003 35704\n45324 57043\n3714 14303\n47805 76683\n34453 59011\n28662 63362\n23506 30791\n12652 19665\n51848 58301\n33586 35220\n86345 97033\n15056 50776\n4906 47514\n25647 73489\n25393 28506\n6354 99555\n47843 61779\n62549 92463\n832 77802\n24699 69972\n10308 87189\n41770 86373\n55895 61241\n31780 99810\n15980 37855\n38458 79581\n57785 86810\n26490 80905\n77684 84200\n34812 88807\n592 26152\n8768 86373\n4836 6988\n30706 79245\n18508 69592\n74521 88795\n22160 61166\n33068 40372\n75647 85970\n3697 9203\n43254 89584\n50736 62740\n23432 50357\n53078 74676\n26807 67635\n56168 95372\n12250 14381\n5127 59743\n42907 44740\n10871 77281\n67528 80189\n8210 34838\n85493 89366\n77728 98618\n34026 93471\n68348 76900\n1585 44780\n48210 82855\n36038 93979\n23768 63194\n1871 85916\n17399 59166\n6427 35114\n62970 92393\n22756 89133\n13291 20571\n2252 64286\n9383 67729\n36730 88605\n26645 45249\n13688 50637\n32931 70639\n5818 96201\n16454 61144\n64789 89983\n23755 32974\n25433 67980\n28675 53607\n13627 78220\n19126 21765\n42995 77609\n19426 74730\n68777 85399\n9349 28548\n35133 66083\n55263 88361\n67906 74641\n26413 42938\n46905 64335\n37128 45513\n6367 45938\n35108 56009\n36969 74055\n41866 82805\n50925 92760\n65347 79873\n11988 16921\n78567 78671\n41460 64982\n28700 46811\n47863 51065\n37273 68933\n19794 95382\n14417 89717\n52258 60313\n51015 78566\n54261 92099\n5831 36354\n34971 53156\n45621 83608\n16766 64893\n31769 69460\n46689 64172\n66519 99954\n64567 83413\n70844 72153\n7408 82464\n51763 86335\n28130 52284\n76838 86797\n80735 92696\n24822 72575\n55327 68692\n64493 82134\n48561 87722\n35989 88267\n24728 94089\n27018 98860\n3135 77629\n29693 84830\n91 28126\n27342 62219\n29216 31726\n83951 89865\n21219 28700\n16242 42580\n56845 66679\n10791 54033\n7865 83840\n15372 62254\n69504 99048\n8429 56265\n11370 89140\n26088 37827\n38770 96923\n44408 57892\n4608 69569\n50913 75882\n9795 51093\n59510 98748\n89828 93502\n36626 90189\n24748 53240\n31509 49168\n80429 85325\n7990 85095\n15136 50641\n12339 91854\n31097 65553\n20438 34947\n22062 82462\n15866 75640\n9742 21022\n77488 82244\n13812 67049\n12600 83200\n46137 58292\n5284 89772\n18112 34074\n24793 33007\n25597 83359\n12616 96925\n8681 73690\n20756 98051\n4302 82518\n10670 17591\n44698 86374\n68639 94215\n39437 89192\n73029 95625\n62368 93985\n37283 92459\n39579 93884\n37131 51841\n18944 24873\n66796 72705\n13661 86693\n3560 52434\n17257 62404\n8685 31828\n9205 52223\n75071 92164\n69266 99858\n71953 76768\n56431 78249\n14061 65980\n12687 49505\n50347 83763\n73212 88581\n7716 33305\n42285 85501\n20047 45574\n71530 91259\n20449 80518\n42740 79206\n59724 64835\n67849 95051\n27568 58034\n17880 39504\n12087 79167\n46445 92786\n60796 79262\n67109 90934\n20545 76955\n4441 53131\n10664 94962\n13457 15535\n19734 24373\n37718 70378\n31925 95687\n25126 90041\n57742 84212\n24671 62340\n9088 27899\n2844 32394\n7620 10389\n79283 94774\n8126 36653\n451 72786\n64720 76959\n85161 86451\n32814 70333\n30001 96511\n24439 39140\n4831 5682\n5198 64448\n32816 73071\n26306 88019\n3103 17091\n29681 81277\n31228 72540\n24536 38797\n12560 40484\n1980 92261\n47453 54030\n9169 87789\n61236 86848\n14345 22681\n33908 53815\n60553 93404\n11128 66571\n3160 84583\n36498 50355\n47146 79889\n16835 58937\n9375 60012\n86046 86753\n45590 88745\n25209 78602\n6069 16216\n1612 50606\n24495 77582\n7618 81614\n11789 52688\n55110 90546\n42558 76402\n13751 79559\n32184 41352\n29808 33871\n3055 52397\n41156 44911\n14426 69555\n57019 69024\n72408 79987\n42835 79684\n22119 36721\n90164 96647\n79834 89664\n26275 77951\n15186 27300\n70351 93030\n50926 67563\n18926 29207\n88212 89495\n44188 77661\n18983 98893\n47250 80428\n91688 99908\n53828 94670\n14839 47098\n15011 71970\n22573 34637\n4509 62469\n69824 82456\n7292 53734\n69078 81026\n60827 73292\n26176 50570\n25853 66548\n1202 60235\n13099 75602\n15639 72776\n46340 73744\n31052 38995\n50134 81908\n75875 77598\n278 59665\n10902 62451\n30897 99332\n7130 78505\n24081 49500\n1842 97043\n124 60394\n53327 95626\n21529 52806\n19911 78190\n46006 88272\n2552 42761\n8545 21864\n7498 62624\n3198 33307\n17580 75353\n14562 69207\n5048 20021\n78044 86922\n25720 59071\n36372 62303\n23104 30458\n85707 96176\n28762 81925\n13321 71285\n44827 89349\n25003 70963\n46557 51654\n60280 87106\n22510 99502\n18331 41081\n24575 38498\n4374 86824\n34130 96085\n57454 94295\n60904 92120\n29493 37261\n9654 91737\n19027 42427\n1652 83318\n58980 64772\n17967 68968\n61096 76571\n14609 86673\n35954 82037\n6119 20256\n14718 62132\n63943 70582\n2818 58433\n25121 51408\n26913 82393\n35590 52425\n45898 64980\n2280 37355\n29424 78796\n54494 63746\n53611 75626\n39199 93339\n63105 72544\n91347 96883\n9839 29213\n46489 78874\n1744 92546\n49268 50563\n3412 96161\n17084 23307\n85638 90600\n1118 76887\n48579 84574\n23157 51013\n21807 21983\n9220 52453\n49862 63514\n38267 91948\n25409 74324\n31837 37628\n91267 92307\n24295 53659\n23868 90528\n33069 54068\n47346 52248\n40308 88957\n46095 89677\n67647 94461\n40163 66900\n34786 93248\n19516 29418\n52962 90456\n10872 71796\n12910 61378\n48554 92419\n17029 44978\n58661 62014\n3563 47037\n2537 62636\n72074 91503\n43153 52953\n50778 91265\n11981 25854\n36681 91692\n42396 46857\n71197 99519\n5115 63421\n9965 71921\n12177 26369\n42316 65590\n86587 90038\n25315 30993\n59908 72645\n7059 50121\n57889 86718\n55626 57571\n21587 26202\n7615 94750\n61094 90443\n20168 83417\n50958 81377\n1865 54188\n67108 90654\n64370 85316\n64164 84794\n40901 60350\n21511 39449\n57023 92090\n11110 30433\n32891 45893\n54663 87385\n16152 40405\n48026 51643\n12688 67106\n38803 92482\n51630 84681\n45981 81886\n40462 81891\n20566 84622\n951 84580\n13492 33571\n10006 95826\n38363 81948\n14039 15715\n38327 61970\n28045 81155\n148 98670\n52369 57286\n50136 90987\n39952 53815\n629 19441\n65633 80632\n3901 53329\n21369 28900\n16984 70340\n67056 70772\n40086 49134\n50125 90797\n4578 95194\n41392 62084\n112 90229\n32372 78992\n42376 79451\n75598 90409\n24595 95780\n68229 76775\n7463 15410\n4164 98754\n85282 97236\n13308 21977\n5460 89567\n77185 95457\n24176 62806\n48490 93849\n31884 93602\n44851 82940\n17418 25155\n9937 31458\n12020 45780\n24561 77799\n42923 73377\n13951 28243\n3792 33531\n2179 51842\n10643 22444\n75051 90810\n46481 65312\n26357 56779\n12063 35643\n33516 35331\n28337 75493\n23720 49281\n13420 54706\n31787 81658\n15162 92004\n53560 80396\n72210 80767\n7823 19795\n34840 35366\n91294 94192\n3 24451\n27256 29302\n20405 88525\n20785 27006\n60054 68022\n55145 83108\n49870 64752\n28951 51185\n50174 57258\n84285 85372\n13923 84505\n13807 50949\n4756 99087\n55578 78011\n24517 69862\n30557 47350\n14627 40588\n69078 94644\n14185 25501\n15787 42677\n22605 49169\n37024 57389\n14845 89384\n35593 95482\n52902 69862\n23777 52291\n61631 90392\n37143 55501\n50539 68462\n11085 49562\n51375 89854\n43004 58387\n84544 89150\n49639 74190\n294 13439\n73885 93821\n41708 43877\n53895 60754\n1562 14466\n6716 46719\n53761 64358\n77846 96152\n71839 83550\n56823 58201\n48040 57884\n58267 98634\n5610 20274\n83654 88572\n37201 95753\n31246 58241\n46024 76369\n29460 92198\n17112 68122\n52300 74114\n7032 42075\n78834 85427\n23120 90615\n10297 57545\n72017 88694\n22012 59871\n21682 63105\n7225 80845\n63706 86259\n1201 59826\n49205 79809\n61083 86330\n39727 65402\n13094 31480\n19840 50385\n30373 92769\n21619 39149\n61865 73611\n31518 47894\n74468 75429\n49904 66861\n22832 48254\n6967 14798\n21667 77929\n18009 84947\n30718 41190\n1204 88047\n20427 44470\n63854 74752\n41887 73372\n13283 42937\n54954 78154\n41494 48481\n37759 41213\n19487 99405\n46692 99620\n172 17018\n65943 94199\n51143 94224\n9264 85364\n86658 90903\n25045 42134\n20171 98174\n35409 42266\n22945 88454\n49641 90142\n14232 58443\n17360 36503\n1308 64229\n8122 52776\n48558 60911\n31614 96192\n37686 85008\n19123 87009\n55035 65312\n9793 28914\n10124 32645\n5408 37116\n6039 97740\n68477 71786\n15020 65495\n49510 59321\n63772 97600\n34645 50707\n6975 60109\n34786 52771\n44951 90145\n4212 83743\n44870 73510\n67438 86565\n31957 61261\n64228 74903\n18641 73722\n1 13208\n9883 42314\n31428 88341\n7609 55235\n15791 61415\n30808 63674\n47038 53414\n56416 91780\n26976 28117\n2292 27124\n24088 73927\n48286 59357\n17123 24683\n12067 54233\n36889 97147\n34219 53201\n26802 42921\n75732 89522\n14944 53610\n56379 82113\n28500 75271\n10840 52685\n45257 46866\n30128 77526\n23630 70329\n35864 42236\n37403 63586\n35126 74157\n45090 59233\n29194 56193\n62748 62953\n8332 44999\n29089 49551\n4871 61250\n1128 64057\n17478 64430\n11335 28725\n52995 83680\n3017 78259\n74237 80022\n24722 98946\n9741 26295\n63580 92667\n70118 82783\n2431 55106\n1037 47014\n22559 26555\n6191 86142\n17587 84739\n43110 90126\n62897 64187\n1625 84930\n1577 94189\n6716 90479\n71421 78252\n43103 86323\n81039 99307\n2584 13762\n11747 53919\n8559 69493\n914 75306\n71000 94405\n58751 94272\n11222 29853\n18900 98309\n72855 96085\n17897 24551\n3993 35557\n2605 3135\n21161 97176\n22262 92594\n34599 56491\n11597 41727\n14888 36102\n14784 66248\n31956 86184\n36887 43816\n27695 72419\n73885 85876\n46521 80034\n10473 46852\n48576 98747\n72569 94172\n7021 9639\n821 45880\n85507 95292\n16559 27424\n6457 41218\n56578 68599\n29056 32104\n12996 46873\n16229 20716\n23688 33081\n52693 66559\n5863 10035\n21511 40454\n19188 94056\n29943 73266\n40898 75508\n66558 76843\n52892 58680\n62321 98330\n2149 11158\n40675 74249\n8796 67510\n72904 96244\n7303 96852\n1262 34784\n51866 66889\n1767 2995\n56376 69696\n19095 83513\n10197 72731\n71814 79839\n11223 69564\n70452 80917\n31969 61723\n12324 49682\n13878 71846\n48548 65369\n33223 57552\n7991 30793\n24810 67142\n63539 82753\n31085 98455\n27507 54286\n9975 77651\n30312 58057\n74053 97771\n67677 99108\n31553 50499\n57410 97989\n4182 45045\n46008 78092\n236 76856\n33337 57735\n39061 45498\n17804 26222\n11980 50091\n85569 89239\n6206 19715\n66795 70166\n26731 68383\n65714 95908\n20160 89410\n62637 66818\n3816 66595\n61484 90985\n2778 66159\n10848 93285\n43363 96147\n13195 59627\n86789 92054\n63418 86939\n45762 71773\n6850 99762\n8818 87146\n44410 47661\n8893 34473\n11736 98346\n21673 89105\n24615 30132\n48232 85390\n48604 78573\n59295 80655\n65509 69240\n63433 89504\n40751 87972\n24365 51070\n10149 80682\n42292 78516\n5316 94210\n26795 31159\n32168 97316\n67044 87829\n11696 98228\n36982 63439\n2153 59725\n8281 61850\n43978 65011\n6249 69971\n75103 98133\n14639 58707\n70505 85867\n38114 98607\n39382 71993\n30043 49248\n42610 84804\n58380 77816\n34160 57056\n83905 95777\n16349 76521\n60344 92699\n7900 48248\n26634 56497\n32754 53043\n62076 72619\n43877 82040\n20405 49588\n48105 86692\n10472 59904\n69577 78412\n22 77245\n29055 94825\n1603 52158\n44075 94232\n39430 97044\n38260 38609\n2353 91070\n12830 19985\n20570 96331\n38631 98188\n39062 46210\n53897 62920\n28412 30985\n6733 30663\n16093 68185\n21233 93901\n4816 83583\n44665 97331\n43531 55255\n30922 37708\n15115 39333\n56793 65079\n77285 80956\n61085 68894\n71844 93685\n29302 43076\n53942 62392\n26569 66494\n10628 52916\n6990 30089\n17332 78962\n61864 97761\n36473 75667\n32240 64069\n12388 77057\n41712 65688\n28804 78755\n93854 93907\n44789 72987\n45992 71054\n47669 59395\n20895 71652\n53257 75585\n9907 75091\n92280 93587\n60710 65626\n47393 74601\n62528 79496\n48043 52341\n1888 74726\n778 16986\n30429 69291\n28931 37213\n87514 95651\n32792 66952\n41156 84707\n38514 64025\n3011 11719\n87856 96690\n5587 58798\n32288 65287\n48083 52698\n16429 59122\n10842 21978\n29442 32349\n34195 92748\n36944 41196\n4038 20670\n8091 69406\n2825 71887\n13968 43534\n39950 98099\n27102 65001\n27645 87361\n41706 54415\n12260 76070\n44958 52696\n24527 86743\n8266 35192\n40571 62197\n1263 19737\n52829 81648\n2938 48130\n22 62292\n24937 88248\n15095 70356\n30419 81105\n14829 96668\n27637 69633\n11910 17567\n947 96643\n5623 12634\n41686 71205\n83099 92626\n73478 98110\n6742 89321\n21604 43377\n70561 85361\n45675 55493\n63533 75229\n1036 74489\n27110 47500\n16705 63111\n3116 19496\n9210 48370\n27387 98494\n19914 60039\n22172 92143\n12865 51834\n35427 53804\n58147 63600\n3979 56356\n39921 85101\n20177 74584\n24698 90171\n45045 56480\n38044 79260\n21199 98134\n33676 41575\n45855 96329\n50155 94291\n55710 70013\n59720 69441\n29218 33912\n35956 68649\n13155 80938\n85263 99335\n47590 88048\n42483 77790\n31201 94026\n12402 74666\n47633 62905\n33407 53806\n4168 29561\n29967 59069\n15118 21651\n84348 99538\n5273 47712\n67846 98365\n5267 53310\n8869 14710\n48441 82860\n575 27617\n24948 44903\n48498 93190\n39522 62708\n6582 57661\n11281 93070\n31553 76465\n9897 41804\n12831 43260\n48134 56247\n17750 54411\n65927 80983\n985 64057\n7345 80763\n3314 21564\n37029 76914\n46757 64586\n13786 58493\n4951 38003\n53577 79043\n46995 63591\n24096 44652\n13698 22802\n5322 80261\n40794 44060\n23255 24978\n32136 48645\n46821 72600\n63473 85622\n7449 77294\n10750 87038\n42851 99361\n9916 18643\n50654 70566\n7293 43235\n51638 71499\n11202 79154\n25515 78415\n89361 92091\n14381 71045\n22203 70489\n6592 78764\n62467 74017\n20820 37231\n48035 85799\n14297 39078\n33219 80627\n4530 29479\n21596 88978\n45670 83672\n49536 79783\n2789 73114\n24210 64583\n8075 30073\n62852 79670\n37149 67362\n7616 58046\n71414 71800\n19515 44589\n255 78709\n28748 77884\n321 7165\n27587 60761\n21414 28700\n70302 79803\n29777 52848\n47553 93479\n15423 82662\n8487 97017\n12224 27836\n35522 70274\n130 23029\n2412 98961\n89748 99737\n36071 44268\n21635 97808\n19286 53453\n34707 66209\n16528 30751\n10454 31710\n10299 43388\n18045 58199\n1461 67789\n8641 33205\n21853 36760\n41673 80614\n36640 81320\n27008 82177\n53195 81592\n15734 23444\n2770 54339\n49226 68262\n29297 98524\n14286 81595\n22461 51513\n1303 88412\n16146 62645\n76023 93069\n2374 49401\n41424 56028\n4801 27465\n54932 78311\n24595 71503\n30342 47922\n72986 95803\n68537 90828\n5368 29968\n44588 74878\n12323 72098\n58854 73476\n30320 36611\n28003 96812\n54347 90428\n89243 97627\n22525 93654\n85718 88267\n44317 99946\n2476 54368\n48050 84148\n76257 81406\n28786 66481\n57001 86197\n42497 51255\n29575 78980\n87940 90879\n3054 31468\n92578 93932\n35111 46160\n42643 58063\n75435 91789\n44393 84260\n32974 63354\n22757 96917\n24291 92586\n26857 60360\n60740 92056\n17017 96881\n93385 93403\n25610 71447\n28161 99736\n7136 26820\n58626 76559\n42702 92774\n7722 34209\n758 14045\n40913 80501\n20810 58693\n58478 86387\n39981 86705\n53968 89266\n68625 97885\n47011 87902\n6279 52336\n1965 71282\n52181 62685\n76026 78734\n41193 47878\n26113 65657\n2259 54653\n86 77798\n43881 79421\n2622 49685\n31929 40099\n52534 80097\n40100 83587\n2651 56916\n5078 60836\n19467 54294\n76219 95311\n1707 2902\n360 72801\n28126 69889\n54573 86401\n47309 52334\n51715 86235\n25468 86784\n14809 55689\n76136 89029\n16665 91372\n12718 90384\n12242 44795\n14327 80427\n14295 64200\n31772 64509\n55442 59077\n64509 85003\n4099 19969\n36703 81712\n44116 65856\n457 22216\n2961 9166\n7607 21424\n2548 58267\n38979 49629\n24083 76567\n49644 96483\n41724 83821\n2026 93754\n83052 98776\n65078 66324\n38850 44459\n44630 94908\n78069 90004\n3828 94985\n64892 78632\n6382 21289\n19182 82156\n3552 57699\n75126 82394\n30413 65100\n10904 92756\n34126 50501\n29497 62463\n85449 96097\n54538 67277\n81027 82533\n81349 82966\n65287 71147\n61075 93199\n12444 95118\n8430 12667\n35928 61609\n49274 61223\n48476 71253\n51368 93552\n53277 98994\n27410 61004\n26578 67676\n3915 78092\n30974 57093\n51041 62820\n10384 85486\n26895 48583\n70378 82124\n42984 47854\n11785 99283\n34951 56473\n2602 90825\n28228 34059\n7694 72580\n25749 58683\n86168 92635\n55643 75524\n31714 47646\n45846 55525\n3849 98873\n29443 44310\n35152 99964\n46580 83009\n6868 49524\n9264 39485\n10211 41874\n19850 81884\n15931 59179\n49748 95309\n36757 87573\n5349 63862\n30260 32561\n53224 60430\n29934 40319\n54614 58448\n16548 35045\n10926 82662\n68151 87958\n27235 68633\n19612 71420\n82327 96620\n55564 92983\n29583 60037\n26551 36403\n6173 19796\n28994 33820\n1478 78761\n38667 84781\n61163 68656\n24653 94505\n4584 41074\n17936 73165\n6371 20594\n8424 68255\n5327 68302\n32806 82147\n7100 74482\n24951 30701\n38467 82611\n43791 96168\n35040 65927\n19987 66981\n16379 86220\n39857 72465\n86217 89675\n3118 71643\n51350 70353\n24250 68803\n58425 98938\n33107 83107\n26896 84709\n78525 91032\n59101 79359\n74940 82505\n25056 29082\n22267 65496\n96095 98323\n40024 80943\n54632 65284\n2029 13896\n30304 67635\n3085 70704\n61110 79166\n45293 96965\n14600 82505\n31563 83300\n18784 77221\n6637 49643\n16464 24031\n33317 59165\n24852 33690\n47433 65155\n24992 67369\n963 38579\n6736 54282\n17924 40201\n32096 61845\n21344 80470\n9396 67864\n66351 72300\n71153 86268\n71795 95919\n86161 99889\n71320 73097\n35829 72207\n5857 55776\n41991 81338\n58711 81476\n23745 60406\n13763 99847\n9493 14701\n66629 84595\n14501 18892\n38915 81253\n33057 54942\n54587 87036\n31733 39266\n16927 44877\n53516 95244\n13175 97008\n72596 80347\n4530 78507\n14098 43341\n37846 85423\n76111 82730\n5162 79209\n13579 80287\n66915 75197\n14586 17477\n13817 85319\n41429 98005\n7013 72294\n17774 35742\n35756 86428\n35569 54398\n22607 68179\n73717 84279\n47681 62969\n52278 54710\n47803 50358\n6418 95630\n5430 24536\n39851 86125\n33100 81343\n77023 82023\n44081 63377\n57299 85696\n35491 75123\n5630 34036\n57927 80547\n16421 81893\n34565 36725\n24648 36091\n78457 85525\n29494 52666\n4468 9782\n45390 78362\n16839 38334\n23557 90808\n55612 57598\n84486 89131\n2429 20246\n89243 91746\n6289 34605\n41901 92616\n13939 67192\n670 28302\n55505 72952\n38439 62333\n68627 69550\n57050 92902\n16542 92372\n37763 55419\n69630 93453\n61372 87505\n75467 89788\n57146 97369\n19431 50126\n20253 78835\n1468 5024\n18527 37021\n30111 65463\n39666 47797\n9609 16844\n16342 54698\n58092 91035\n53686 73760\n42857 97069\n19716 85564\n4030 15480\n21894 87718\n27512 46965\n25251 37836\n70632 94109\n26987 60717\n82043 96749\n27752 35410\n12995 35305\n4130 23873\n61352 96243\n22375 69346\n26717 64735\n58492 66698\n14805 59887\n23771 66018\n6286 79395\n12769 81740\n2945 10197\n16544 89301\n73232 83102\n58582 72270\n20701 46537\n76747 82002\n68584 84010\n33310 66480\n64704 88078\n16087 53052\n12876 90419\n24794 29465\n38172 52348\n12922 75185\n16246 68033\n36779 70876\n4278 63877\n1855 87777\n84709 95277\n36555 41936\n31018 76450\n2543 19105\n56074 99332\n32156 79809\n7045 47634\n78037 98678\n10354 92583\n62033 96208\n34822 74968\n43276 71666\n9077 36068\n3069 36389\n21803 86258\n149 77550\n9596 97498\n1222 60808\n34523 52145\n6337 89851\n56894 77512\n30744 95634\n24131 41093\n3560 74475\n30594 53821\n20496 23369\n21509 36118\n23591 32767\n68604 73238\n11383 25595\n86581 91937\n40138 67135\n71566 74269\n25129 73288\n4401 79035\n61304 92784\n49807 94426\n46136 67754\n51582 75111\n2629 95156\n16589 56909\n7209 74680\n7192 19386\n1862 28906\n67366 87318\n50899 70631\n49741 85055\n11878 16938\n797 59678\n13211 23814\n77611 80558\n61385 68237\n5331 15651\n201 67670\n25980 34382\n8108 28860\n12723 41577\n43561 62853\n34891 89930\n43665 45649\n73990 84441\n79308 98072\n8948 40811\n9856 52292\n47966 56350\n32176 55653\n3805 61990\n51927 83982\n13172 35334\n49001 52516\n45378 62456\n21246 29942\n21802 32040\n57463 58570\n26769 55093\n13274 24937\n24031 99263\n33059 78694\n6798 39685\n35090 58807\n3997 64147\n13089 96013\n31965 64702\n35200 68574\n75301 80055\n13641 34154\n8099 64156\n36301 55779\n40395 71026\n5719 62734\n23706 70786\n65570 85487\n6680 8530\n479 58937\n4859 95037\n36661 63114\n3510 12513\n29335 59799\n1344 65620\n9686 76884\n31414 50527\n6547 36228\n65732 70327\n28523 78463\n15059 62090\n59060 71635\n45826 90028\n39786 65158\n5293 92756\n21022 30623\n4428 84728\n17159 58899\n4862 57337\n52944 57623\n18625 25362\n40204 72095\n24902 62082\n24671 73767\n24347 46764\n60558 69229\n5644 54104\n10659 10881\n16233 68896\n18169 55942\n28394 34236\n1283 14221\n93045 96139\n32963 63986\n64459 90868\n6588 45854\n25858 32725\n7104 11025\n6006 25162\n17025 70975\n32222 40203\n14386 73293\n79967 99216\n17495 56930\n21291 50910\n43885 92543\n78242 92555\n58300 84280\n10008 33799\n96932 99237\n60353 67687\n2102 76757\n18901 43037\n31188 32454\n52002 56855\n76514 97580\n40352 92123\n77040 95676\n55284 67153\n11008 26570\n21641 50888\n32912 72733\n14502 98113\n55984 69739\n41963 66121\n1244 94822\n76715 84390\n66283 80498\n4351 90870\n6811 72457\n38188 39620\n61448 99670\n6980 47244\n46290 85036\n9838 88078\n83560 88723\n15147 50404\n33638 50279\n75061 81573\n6277 26457\n33057 68317\n1417 71621\n61428 83392\n34353 43150\n23000 77457\n340 6606\n355 55539\n8820 12823\n1493 6980\n29798 78918\n43495 55308\n20537 87727\n17687 80596\n40947 56754\n41542 56365\n214 60492\n19151 48615\n60627 95048\n4560 93201\n83959 85489\n19844 84824\n47176 55907\n28185 43262\n82149 94276\n38961 70597\n10815 74122\n48651 53648\n5362 79247\n55723 57349\n36772 87522\n19410 28139\n24892 58543\n12745 79597\n17234 35701\n46810 53234\n3322 11390\n29431 88433\n853 47678\n71349 90138\n4252 97863\n61137 89296\n14858 64520\n61391 93848\n50766 87523\n59604 66241\n66651 68662\n15838 57680\n52973 92663\n442 23506\n60003 90077\n52418 74466\n58660 99922\n49212 98863\n23623 67071\n22477 51820\n33653 86803\n17426 21031\n20117 63304\n29156 65235\n20014 98611\n7018 14748\n117 9795\n30727 34216\n42195 84814\n10903 77792\n17944 26113\n10704 85136\n34783 42178\n60505 98598\n14033 60614\n17063 63871\n43992 61611\n34374 63369\n3341 7293\n51546 94417\n37345 87426\n38258 72671\n27232 71763\n44885 68593\n36355 60317\n12793 91708\n16410 97964\n56148 92632\n35376 86774\n30426 97178\n79521 89716\n4581 95180\n5509 6891\n32957 37042\n13439 46839\n73969 88922\n45429 47604\n47430 98588\n39323 84520\n46258 50278\n31400 42060\n2599 83544\n25305 61233\n43330 76966\n83901 97522\n40150 61166\n77887 88766\n3721 11503\n24414 40211\n15132 41040\n27636 99358\n5271 89395\n41815 50086\n76018 92576\n54830 90217\n28757 68099\n30825 76418\n17602 79789\n16411 27437\n3449 75933\n12041 60089\n2458 46667\n46178 54897\n1900 7570\n60769 74526\n53206 73508\n27351 47145\n36757 37814\n44472 74935\n5452 20230\n2906 24622\n69373 79009\n41037 63689\n65059 89050\n57065 79842\n20863 22075\n48072 49297\n30135 37542\n43645 87016\n48958 86094\n33850 36905\n13820 16404\n34794 74485\n4549 38352\n79700 83814\n54744 82143\n6690 73031\n37356 66116\n38684 81652\n46613 82307\n3561 61094\n1575 32070\n67053 91685\n86272 92415\n27096 94906\n69735 99968\n29601 35267\n53202 76741\n47929 74513\n28596 53719\n61660 71468\n28900 31764\n11075 80616\n84994 96659\n31701 82487\n3280 10257\n17436 28597\n26500 99325\n18 9891\n77001 97706\n48084 48879\n40414 99881\n1302 31935\n12353 38301\n9030 78504\n8091 40284\n16281 97456\n85688 96243\n7134 90265\n40415 86092\n40603 83975\n11237 48580\n52626 96918\n75287 94779\n51990 83512\n60984 95204\n67310 74489\n1479 54001\n41031 63821\n19176 92955\n47861 76597\n12025 30652\n37934 38948\n71186 80617\n74927 81267\n4160 35804\n17716 45556\n32270 74416\n58331 62701\n29166 81193\n75329 92314\n53507 88575\n40594 90883\n21477 91653\n6063 18116\n74284 79856\n44542 68164\n70359 81023\n71152 95343\n36312 65015\n31476 35162\n53240 67409\n24372 28199\n23195 24124\n26542 56542\n27487 28037\n58058 85876\n73326 90657\n4102 26948\n3381 58955\n63462 79252\n15711 83910\n19912 89217\n13835 27486\n79428 97227\n58517 93550\n78026 82190\n50555 59731\n28308 31515\n16390 89173\n25574 38260\n48798 59529\n59745 66076\n95827 98458\n6738 69549\n14275 82269\n7618 19941\n45309 77722\n9025 77311\n55314 81535\n39711 94044\n75181 90005\n17989 51519\n80113 86321\n52787 55180\n27082 34145\n79911 90857\n55260 90604\n35735 62049\n39967 54695\n14665 90942\n11142 61327\n26012 68320\n40227 71760\n26428 57522\n20963 94261\n33813 61196\n59885 65474\n75236 77083\n41017 84747\n6403 52088\n49921 60293\n18189 23320\n59610 61919\n31718 91759\n78614 79729\n26870 62629\n18861 76761\n45230 74812\n89906 97870\n32242 91511\n36941 45722\n52112 54706\n11654 63656\n23250 46377\n66036 70554\n8664 64463\n26294 65378\n47048 84069\n22833 46823\n8684 64812\n905 84247\n24633 50580\n88165 96286\n84671 99016\n56656 75134\n10765 21245\n23953 73843\n5191 53568\n51396 55506\n55582 92213\n46308 92131\n56311 75172\n51533 55120\n65252 93941\n3823 35040\n34201 78900\n35096 99872\n27009 61007\n41164 95285\n19777 60844\n95015 97933\n44974 95534\n8415 72329\n43277 58572\n79089 95583\n26028 39914\n56501 87063\n14787 54274\n19190 89292\n73015 80395\n36313 97930\n80222 86295\n43537 99966\n10500 61172\n742 4390\n54474 63277\n27040 58322\n24378 43146\n65266 68586\n13707 72058\n26595 28008\n84959 88487\n6205 93789\n2785 5457\n27433 58142\n39997 63857\n82552 98554\n18331 84510\n15514 96075\n12450 43372\n76444 80815\n68106 79570\n31380 71926\n5890 50350\n73991 98255\n11293 47464\n20979 26341\n33264 67788\n52683 54134\n61108 68402\n8302 67592\n27307 72467\n2831 83168\n11554 86010\n77652 78857\n53332 71880\n44671 80222\n23374 39533\n77525 87608\n36846 54361\n23201 56384\n88608 95224\n37834 52508\n58382 66125\n5066 46976\n24695 70372\n40031 81486\n38849 75243\n32360 72152\n19163 99590\n13841 64895\n47119 56493\n88416 94063\n11727 23008\n74119 97921\n8798 35064\n53606 97298\n73197 75833\n16 6548\n72552 79328\n22048 72055\n19254 63956\n41822 64143\n6313 94355\n52799 78607\n50607 81616\n92107 93151\n14130 35089\n24847 56656\n33850 40293\n32216 80610\n34220 75373\n11312 51048\n54144 87688\n23844 99367\n31515 67850\n50647 92034\n50407 62340\n43415 89177\n88052 95008\n5009 40395\n67421 95453\n31772 71664\n76129 95532\n74545 74913\n37675 48280\n63152 97001\n7136 57851\n47359 70003\n33114 60008\n24902 76996\n22842 81549\n63757 75136\n57922 83937\n80238 91738\n275 36293\n32530 59852\n9009 73012\n39832 98165\n16180 81705\n10853 84750\n69085 84179\n5924 93667\n32072 83900\n22936 82411\n28583 64251\n24876 58046\n45351 57892\n22465 77092\n12966 42653\n71882 73940\n31723 80486\n5019 47158\n21622 92596\n8642 81012\n828 20379\n10846 71343\n5764 25163\n49809 99845\n6574 15124\n40885 83387\n4812 5289\n43000 88956\n70917 86786\n25799 31135\n43205 82501\n20719 63504\n38710 51685\n45983 73592\n34329 82053\n8033 29463\n35902 73272\n33484 69053\n24807 55816\n30836 69861\n45303 67410\n38188 89348\n35963 81132\n35909 71858\n7738 81607\n65899 96272\n21970 95965\n67378 86571\n69467 97721\n35928 66748\n35 52805\n56589 82577\n37204 46720\n7380 13438\n84278 88393\n50914 66050\n29567 61634\n8457 73211\n48220 95485\n865 78230\n19528 67193\n10108 54525\n57140 89394\n4416 92057\n8728 47724\n61757 73058\n71027 96600\n1766 9694\n6511 97287\n5203 19615\n23676 96181\n50514 83867\n69493 77754\n17602 86923\n51693 62880\n4212 49706\n1677 45494\n23062 72723\n96486 99902\n91370 95269\n1598 36529\n33992 89663\n75900 94885\n5425 26437\n17559 24807\n65656 82554\n2050 93194\n74311 82357\n10071 72107\n4374 63690\n41434 83927\n31450 83330\n62630 97175\n85268 91070\n63944 79559\n3266 35247\n15603 64128\n30219 37518\n12944 74213\n47983 82596\n51896 98865\n19463 71170\n11347 93976\n21493 39047\n35934 46450\n13369 29239\n31530 65151\n57374 70044\n24044 63095\n28124 38107\n62261 69030\n79570 98666\n47213 58157\n42949 95405\n24343 49386\n24361 49074\n8661 78329\n1938 94700\n36889 76928\n21601 37609\n14520 18707\n51880 58857\n63725 87224\n43393 94963\n30601 77550\n4481 42224\n31814 52513\n28408 86405\n30152 76759\n38371 71263\n1021 8038\n50960 63470\n35074 71525\n65378 75133\n22809 35165\n43450 78885\n54530 78345\n13031 59289\n20398 84451\n46570 72820\n52007 66859\n33710 97138\n52001 89619\n21249 63640\n89338 93018\n12886 97339\n18229 87042\n4242 40970\n10621 36923\n29467 74508\n2397 35175\n29103 56935\n47514 76392\n7474 88819\n6575 83222\n70681 82577\n19105 30879\n18622 82423\n26505 63680\n28964 87121\n61121 66268\n66283 78707\n27817 73892\n36325 56513\n33761 45560\n46418 70262\n30266 73643\n5797 8673\n61059 91991\n8683 34506\n13737 87579\n3448 23625\n56097 61551\n32748 47363\n13827 55989\n10244 72263\n88465 92345\n33045 60421\n60928 72072\n23385 29151\n24597 80935\n44294 71805\n17344 92523\n38714 57898\n52751 61169\n75531 80049\n66592 87891\n36938 75313\n57836 93386\n12419 47643\n529 78439\n67783 90701\n12732 30260\n8636 70726\n13388 53874\n14672 49529\n51381 69643\n32097 58372\n6958 43226\n52240 57929\n75148 92431\n37193 83729\n60478 91875\n33805 63539\n36931 85829\n42535 84256\n5275 74390\n30641 80342\n88726 94652\n3881 64690\n607 77513\n80766 87772\n20124 78796\n56688 92971\n29292 43631\n43220 48912\n87988 95776\n51980 56342\n10876 64099\n42312 88835\n34411 37096\n16073 91471\n18804 43324\n16009 80735\n10833 24164\n439 62020\n9825 99038\n29895 75356\n65352 90473\n26752 29048\n49540 72122\n23429 71938\n37043 85364\n66646 81972\n34436 42453\n4503 34479\n42730 49923\n39545 88723\n30533 58320\n13401 99068\n36946 68129\n5357 33436\n78911 91405\n85975 94322\n33897 95538\n28312 96655\n57376 66424\n29379 51624\n9678 52998\n84353 96744\n51624 82280\n81940 93003\n9213 58059\n29090 77350\n34654 96062\n45667 55497\n50143 69085\n83870 84457\n24796 96907\n50411 87335\n19801 91400\n15794 31924\n63731 82219\n20115 50068\n33296 95060\n903 37861\n34713 67649\n14570 99617\n5810 45164\n3697 65335\n69346 69476\n54949 94490\n56591 66605\n4147 57221\n39220 79447\n9173 31726\n25924 32268\n52844 63509\n28682 49332\n10512 63537\n20593 24733\n18338 75319\n40153 48767\n28032 79499\n56896 76175\n2411 89310\n79476 94315\n7589 62526\n18552 31463\n52660 74741\n9006 38563\n43489 44678\n22454 97818\n29934 33493\n79483 81881\n53339 73070\n68957 85461\n73089 75600\n15031 41395\n65194 65952\n42669 89100\n85889 89239\n78367 90326\n22021 49270\n7803 65253\n15500 36032\n2593 14433\n28537 78438\n11242 62176\n49105 62525\n15309 66090\n51036 59828\n15383 48841\n437 93262\n6741 72915\n18991 63856\n47086 59781\n26658 43504\n47685 94021\n40287 74714\n44791 51163\n22799 40433\n23054 94407\n1848 80775\n57434 95287\n40119 46532\n49670 58655\n1241 19460\n50541 94421\n22746 66947\n25231 67049\n29062 84717\n73545 86448\n30831 79877\n2152 23159\n9103 26954\n17639 81985\n18629 86405\n18469 55042\n70140 84652\n27192 55642\n30230 31337\n13234 92504\n5204 33741\n47026 80618\n67369 77644\n33682 44688\n19581 34664\n6150 96669\n72216 91338\n24730 39884\n47770 77774\n37646 44989\n8117 39972\n4823 40141\n11304 86432\n92198 96019\n33104 35888\n11270 64702\n57365 87071\n68326 89172\n16510 48988\n5002 16755\n48498 94147\n64919 94429\n53891 67350\n17474 98949\n18601 43948\n40891 51395\n81425 95172\n26910 83190\n18404 45995\n54553 74216\n8243 31170\n40409 74781\n22545 26478\n4215 29498\n5700 65965\n36456 90406\n4089 97574\n16826 49374\n28877 88393\n23781 37057\n10875 68935\n9357 72908\n49733 71040\n2377 84837\n4362 43226\n17000 73099\n12972 79747\n43869 80787\n70124 90537\n27219 89669\n20107 47872\n40939 43920\n11702 57223\n19068 67211\n29300 81695\n3830 63708\n7635 89513\n45040 78749\n32107 43566\n2342 38191\n13130 36129\n63565 88084\n1550 32437\n71327 95736\n17708 72075\n40575 61861\n64461 94422\n54717 97999\n25450 86508\n8209 30490\n15150 34927\n22669 47250\n5252 25294\n45844 71283\n18839 28018\n83244 94218\n49300 72626\n46236 96623\n6196 87125\n6230 43968\n51455 67156\n32379 44342\n27842 55395\n24751 28296\n64236 95705\n6897 75450\n46313 67064\n47651 71615\n23739 92972\n12185 30831\n66177 94618\n62363 92501\n12415 76622\n23833 50560\n35501 97608\n67138 73679\n67182 69983\n16911 63105\n17482 21618\n41540 97032\n8222 54055\n21852 82143\n75367 85281\n22248 69545\n14844 37335\n32537 55373\n32811 67889\n53012 85747\n51610 85153\n26020 44441\n1830 2995\n83479 86150\n34089 57390\n31501 76709\n24997 96334\n50384 56990\n5661 24754\n55097 93852\n21335 44017\n150 63947\n35778 74395\n51233 74367\n27270 53609\n74656 88121\n39620 73223\n19611 44910\n51360 55404\n36896 78357\n68523 96658\n112 52218\n10825 27620\n25522 59339\n19015 99946\n1591 4557\n32713 93793\n2775 45964\n2879 11036\n11821 83960\n8224 32474\n40629 49875\n68672 98816\n7679 56136\n60168 68949\n41805 95344\n39458 83755\n48308 92645\n51839 65200\n15961 97350\n19750 81674\n54895 61738\n12622 46763\n31973 43702\n11070 29754\n67409 86637\n31974 99894\n79441 86485\n17645 32150\n9377 53244\n44046 66055\n82287 95457\n1707 6791\n8109 42817\n8951 61469\n62296 62664\n16770 98951\n5500 12262\n35466 79124\n48470 49406\n37429 60793\n4762 92454\n73213 94504\n7912 25767\n26914 81357\n57246 82266\n81904 93162\n18595 94775\n95957 99945\n224 76476\n15647 28036\n22320 57737\n14092 20612\n706 31743\n40517 99498\n3787 70070\n51447 86252\n15854 69867\n11191 36704\n804 32139\n16767 35370\n2372 81270\n58826 87831\n21732 82892\n78238 89077\n29028 73510\n12551 18557\n47133 86989\n16128 51895\n235 51626\n60076 91907\n76659 94215\n48665 77954\n8858 16855\n58433 67489\n30751 74826\n20569 86041\n44700 64907\n53382 57327\n64270 75887\n28429 35132\n80617 99039\n27484 96417\n45167 51729\n41592 91085\n42046 80020\n43399 90646\n79934 84810\n8366 60585\n16480 33031\n21493 95066\n16383 85927\n37613 49136\n13085 62033\n14017 17652\n44389 98618\n7301 52288\n43744 82455\n15410 22250\n45718 66836\n16455 83908\n4682 48996\n39503 52270\n6232 42471\n14162 19142\n46362 94301\n44814 47208\n49790 69457\n16032 91329\n17381 26636\n25507 86746\n8642 30686\n1746 3252\n64705 89452\n49865 90837\n57103 78460\n25013 73024\n13299 46648\n11778 61111\n15342 86957\n15605 38981\n62566 79552\n9415 74352\n34947 90535\n52203 60504\n26511 78233\n36802 74150\n22802 51999\n60246 65458\n41812 56036\n3042 10859\n13789 22071\n19114 73564\n41537 99741\n5178 66903\n7052 28919\n41994 89520\n210 52186\n48135 69055\n24300 40102\n59699 82200\n1691 47252\n12309 85960\n4277 79885\n53735 69057\n64776 66802\n31596 81810\n58195 74708\n21125 30162\n28309 55104\n77440 84799\n41945 89266\n82496 93655\n4437 34018\n7960 61248\n52337 53098\n3739 80535\n28336 50535\n9375 22780\n44267 91760\n41757 53101\n5754 12477\n10711 37190\n77439 87510\n22132 44062\n30964 85036\n18810 19053\n80572 85444\n8518 13876\n49410 54817\n44669 84234\n37785 82594\n34737 61136\n24505 52230\n21017 25003\n31620 86999\n2209 39941\n1160 87811\n12817 31298\n87558 91965\n14607 64006\n64069 81091\n10588 93531\n55605 89167\n93401 95288\n60390 82755\n14245 61823\n6479 20261\n60016 64807\n4872 74001\n2405 36604\n49237 53775\n63205 70251\n8958 42139\n24937 39440\n39810 55326\n51309 84498\n59095 65853\n31825 62006\n41254 82817\n27702 71655\n26178 81467\n17109 21121\n12515 85383\n59909 91226\n11956 33784\n2867 70589\n18308 67225\n37138 93309\n1081 23198\n78223 98380\n25533 69376\n30162 54349\n24045 66895\n16903 53212\n14236 55146\n30434 78011\n47058 76086\n26810 33327\n66525 85109\n10459 31613\n40270 89060\n32469 86388\n66093 90601\n34589 35483\n44375 66313\n47243 84685\n12342 39561\n13513 58568\n868 51955\n43089 70293\n64538 86394\n41568 68449\n31011 62091\n28197 42067\n11796 73476\n21278 95954\n8394 63475\n50025 85674\n59952 60812\n41846 48747\n12728 26828\n177 40606\n16432 53808\n22993 92329\n39123 67638\n16551 51468\n7938 8628\n66525 70768\n28172 95963\n83247 90280\n3093 76675\n42293 87045\n2244 15787\n172 25016\n61888 80936\n38376 90240\n30368 76910\n1878 25968\n51558 73919\n10239 81959\n1501 92996\n73782 74804\n56354 67784\n16717 70539\n22509 83038\n7333 44755\n60057 82252\n44465 73927\n33934 45333\n25822 33925\n41169 87707\n9459 72693\n55702 86218\n37257 86462\n1001 20387\n35594 36971\n57362 89047\n66991 99954\n2268 70399\n45319 79052\n43840 98417\n35649 77532\n59006 88841\n18380 89987\n6158 92718\n42447 84384\n62575 95111\n10170 34816\n79126 84986\n24238 47597\n4748 6501\n18821 37220\n62298 89281\n15705 87098\n24379 34537\n78836 98817\n45703 71084\n23599 97425\n16577 70568\n17326 55599\n15298 96204\n2217 29875\n8004 23421\n7316 54576\n10083 68284\n22800 52313\n73678 80794\n30007 56235\n9658 58162\n2153 27961\n17071 36857\n11419 75880\n50146 55080\n71743 89562\n22612 37257\n3595 43484\n91047 97160\n37856 93123\n52193 66852\n71086 91694\n29151 59954\n43585 68158\n93430 99033\n12512 69582\n431 80943\n53333 86356\n16537 27428\n48156 96361\n9626 31900\n3823 32125\n73653 91994\n60968 82249\n15354 19183\n34227 62243\n4307 55468\n48480 66410\n52858 53644\n38853 99360\n5924 47413\n54756 98969\n21662 32940\n709 24544\n11666 69595\n3953 78535\n18802 90658\n17234 45297\n51345 83832\n14099 92927\n48044 95407\n54755 79962\n30250 38784\n27446 73316\n5509 43230\n11871 98195\n56058 66336\n42711 57826\n19454 77996\n1605 27202\n40555 70610\n5227 31351\n40182 96766\n50377 51603\n26915 39958\n13426 79937\n56 57775\n409 42880\n531 13420\n82949 95587\n9299 55068\n3478 31117\n7501 76968\n2133 61734\n19379 76424\n8195 9564\n20771 68684\n14870 80221\n24461 83024\n44137 95994\n12114 12442\n76590 90351\n20453 52347\n30380 77863\n19041 80719\n834 76436\n69658 86337\n51426 89451\n40182 46732\n10713 29546\n60618 75300\n13434 77221\n27751 84139\n37445 98387\n13486 75673\n48167 91265\n96360 97765\n13822 58916\n50695 72929\n4464 5037\n19933 62102\n22620 56979\n42754 82772\n1302 35641\n16875 65129\n8432 48995\n20833 64586\n48846 75297\n19625 64466\n3573 96497\n192 64801\n54274 59004\n1796 83384\n50908 69550\n56550 71381\n42050 87711\n43093 60060\n85774 87721\n50420 52705\n18162 48851\n14128 19036\n741 9173\n8692 50892\n44257 80846\n10905 26510\n23224 44556\n1869 72405\n84114 94909\n3590 68403\n29798 45044\n39439 62903\n73378 92947\n31312 88835\n2210 7843\n13516 76425\n29960 62214\n75071 77067\n4176 55044\n46808 50191\n6416 8543\n4201 37998\n56840 85475\n28070 59715\n6871 75074\n28217 36522\n26580 80449\n14290 76104\n25796 73138\n12246 38345\n50384 80940\n20028 72480\n2099 52619\n64677 94523\n68709 72332\n32876 87910\n43683 91928\n40985 61306\n3617 99362\n34212 70187\n41949 80509\n2485 58709\n32900 72086\n24236 72311\n55903 91923\n50629 84817\n60137 83994\n33878 77699\n67934 74493\n26849 89947\n32900 47426\n3561 48606\n12913 51599\n54822 77863\n39237 82950\n29726 74725\n8540 87131\n8683 44498\n39251 98179\n62880 91279\n7950 10666\n379 10021\n55841 79260\n57458 72368\n68205 73331\n61115 80737\n18517 64487\n35056 91051\n3480 98241\n9462 50376\n47985 97518\n64262 92058\n41388 55088\n29745 47060\n2711 46429\n17897 46844\n23997 60830\n43838 78281\n54903 70974\n8631 48230\n67094 99301\n8327 73753\n5164 7364\n44741 50649\n21245 96593\n1212 71815\n31590 58568\n21321 35256\n60253 69660\n2169 26647\n63639 64699\n17208 25339\n9298 81976\n39672 92426\n27884 95010\n26892 36500\n28476 55848\n22067 49909\n46290 75026\n8151 79332\n2937 59988\n1820 9542\n18652 82364\n37282 40809\n16970 98147\n22652 44358\n24214 90686\n6885 89288\n67087 78244\n11732 25578\n45031 57358\n17314 95751\n29958 67119\n7260 98953\n42843 96675\n56689 76923\n5729 65563\n3619 38468\n35810 96269\n11663 37182\n10003 54877\n5202 47467\n17034 58763\n49045 79403\n32663 71443\n71259 90226\n6203 96854\n10045 44651\n49646 85513\n29408 82752\n25763 83165\n71259 71949\n47643 95991\n45079 91492\n41401 89341\n29084 32723\n17066 17362\n6889 94344\n25868 63658\n63414 64245\n72172 88347\n14630 98805\n87971 90943\n40102 90866\n49370 72089\n90196 90990\n23271 31128\n38609 38874\n52980 92704\n45695 55320\n24916 29159\n47437 48692\n9536 28302\n9814 22511\n44680 57036\n28978 54404\n12584 53893\n46205 80422\n48643 95320\n29978 85350\n12959 83178\n10201 37786\n5355 37915\n68583 79513\n16123 40379\n72172 88207\n9369 45337\n13508 13636\n70284 76738\n38721 42703\n51686 94671\n56736 68858\n84526 84761\n63113 84594\n6758 29425\n36222 75993\n6966 92287\n24610 91919\n59621 89119\n87795 95270\n29156 93081\n31418 97596\n8407 94303\n8533 10410\n80119 88270\n20569 65861\n950 34587\n19186 75561\n50755 63997\n55166 59879\n21954 59981\n3079 77216\n9275 41779\n15962 77301\n59394 80858\n4233 22271\n79900 87467\n50850 93382\n60207 74199\n149 23630\n83231 91264\n49510 82185\n54286 98832\n4931 25055\n73011 94026\n19379 43696\n36535 97542\n44548 62616\n53828 75977\n30139 69234\n37132 78439\n46782 47603\n18404 42059\n3347 22598\n24635 44954\n41711 82171\n22290 77275\n356 59898\n4679 99608\n2412 80844\n54317 78797\n53095 87040\n26901 36762\n1217 81973\n40817 83948\n31520 82043\n19879 44870\n82308 87954\n30018 45511\n70513 75477\n18439 98665\n65649 81162\n12359 92025\n3968 71099\n27043 47591\n41852 42797\n11493 37464\n5286 70625\n12649 62573\n40400 76946\n75137 96367\n16669 31414\n60040 81999\n30320 95371\n73944 91262\n38291 92653\n58824 66096\n8972 23176\n88664 93178\n17039 76671\n78152 94990\n40190 49037\n2249 21896\n71786 80058\n6113 36525\n35611 62122\n33462 47558\n15539 37305\n74322 80983\n10053 74414\n57678 59392\n41422 94401\n65243 85481\n77451 82321\n39191 61061\n9685 24663\n19977 32014\n9529 25572\n22909 31671\n16757 41127\n26725 96555\n64570 98467\n3879 93503\n45207 50943\n21766 85535\n52673 73273\n35967 87118\n57303 73040\n22483 72560\n32712 42337\n14622 76829\n53724 88884\n23911 71846\n9553 77876\n70953 71994\n7153 22253\n66589 98621\n30144 71008\n36583 45354\n61030 94002\n6034 31289\n3961 20411\n14810 76315\n38259 51966\n41946 73461\n29775 88040\n1419 63686\n39431 74296\n15076 45386\n475 50858\n32585 90864\n54654 68466\n91150 92175\n9081 38165\n4687 22538\n23100 30610\n13033 43062\n42169 83770\n2097 93805\n15138 81404\n41434 77197\n18062 66521\n22130 79669\n8582 50721\n8845 88008\n56598 73040\n7166 48641\n43718 99486\n4069 24782\n5957 88895\n28140 58222\n32141 58029\n10844 18805\n4866 22953\n54288 97427\n76175 87476\n23690 45798\n53513 83487\n69235 82681\n13757 33604\n36226 41736\n74896 81772\n20970 96719\n64305 69850\n5510 96566\n36376 89978\n18054 54292\n19686 42230\n26364 52681\n9941 28185\n59127 80854\n63462 92474\n95588 99442\n20802 87619\n24246 94096\n29070 51288\n1735 64891\n27385 97635\n30562 87152\n9549 64640\n58227 59721\n45365 46498\n3301 28068\n3767 56569\n22064 87547\n43313 97062\n35181 57657\n21209 44910\n41334 88863\n167 12138\n16654 71135\n28237 55017\n43425 68652\n10655 38325\n11153 53898\n16250 88483\n10906 46048\n47215 75803\n61402 70176\n9131 95318\n4652 87145\n16935 34975\n66523 93264\n2291 90714\n34093 48939\n25313 45993\n41043 60226\n17395 91103\n1477 19414\n11463 79032\n40712 44001\n53017 93151\n10301 10527\n2714 31335\n31949 78793\n40755 46416\n27290 29445\n12074 68540\n77630 99948\n41718 66836\n2418 49651\n4124 77506\n16894 41562\n59852 62113\n34370 51239\n38409 54833\n70328 87530\n33841 33864\n69395 93349\n51337 99634\n19433 46619\n16942 57316\n22632 63278\n48496 80888\n40062 40461\n47107 59053\n24717 24907\n81703 86120\n68301 94713\n55305 74062\n15651 76970\n55230 79248\n11736 38755\n53431 74525\n43708 54482\n15219 40220\n58528 63013\n64076 93633\n19298 98755\n7205 60910\n38443 59984\n15101 37657\n29721 85569\n4251 84295\n13405 50245\n55629 86631\n47316 98399\n2817 78241\n10594 11276\n9413 94426\n66789 73686\n21283 31610\n4043 56147\n12689 40690\n46062 81537\n57595 57708\n55764 81397\n20587 36360\n26158 99263\n82351 98649\n21962 99494\n54272 98285\n41901 72217\n42394 75286\n6927 72039\n8392 96271\n3999 35285\n70788 86861\n67395 83350\n20738 40709\n8613 95015\n22582 80131\n26248 70842\n4915 50436\n69920 71533\n50127 77801\n37403 76877\n14273 89543\n44002 51389\n11280 69848\n2491 16014\n5291 57160\n49595 61179\n6387 8945\n56648 60362\n78102 78702\n52434 55085\n3153 84588\n2125 79995\n15971 44157\n46725 76036\n23988 60151\n21068 65152\n79348 84122\n38245 69332\n63709 64935\n25192 85846\n83382 84441\n21015 75504\n35271 45948\n11884 24165\n3012 52970\n83237 87932\n5285 70899\n30548 63224\n13016 77568\n90724 90995\n49603 91283\n41016 52254\n12153 16708\n11370 60194\n14191 26311\n8851 71716\n59115 80943\n11306 33502\n14020 88013\n968 33940\n66277 94557\n13968 14953\n42966 52989\n48880 55720\n56973 88462\n4297 81053\n15390 50862\n8575 67130\n46451 78238\n10855 12823\n49556 79927\n37543 65593\n23735 72538\n6170 12162\n22890 89948\n50923 67293\n1219 98370\n14763 41553\n34572 56567\n7920 97496\n2984 53590\n26414 93281\n25494 69167\n2386 38721\n16498 63594\n28836 35537\n5845 25382\n29738 82797\n33003 36525\n73314 81895\n34721 79358\n6179 18858\n41681 88722\n4624 17024\n36061 77045\n30881 42811\n86489 91619\n17022 55588\n62733 63499\n8918 63583\n884 13502\n19552 53619\n53603 81061\n46917 77248\n66320 79345\n22678 45991\n10104 49231\n49017 75659\n60747 72200\n6788 13249\n54243 62619\n39659 56572\n52467 60724\n57144 83180\n19020 75708\n9641 83800\n90278 98961\n12696 49889\n32264 85291\n25428 96979\n14203 76868\n39932 91001\n23892 31505\n24528 82301\n11987 80482\n89757 93253\n47740 61190\n2320 11250\n62495 93877\n28646 88150\n39546 87098\n893 80760\n28343 40491\n60784 86293\n21299 69097\n30791 80762\n79146 97333\n17078 97188\n9866 88608\n6753 71099\n32638 98837\n35313 77802\n5064 38505\n16301 96472\n14505 72698\n1231 14181\n22965 52270\n23231 76152\n41574 86236\n28319 70284\n11192 80160\n74393 74765\n8589 24189\n36619 62660\n73723 82331\n92186 99693\n29363 98198\n10698 41975\n41831 65837\n17179 43220\n57101 98425\n5053 25840\n45159 82347\n49325 83837\n98217 98569\n30481 99684\n18724 48863\n16509 63393\n14398 43985\n26583 92601\n26533 71514\n12334 59560\n62491 96462\n18842 57079\n3137 18868\n39425 67868\n32442 90701\n38107 46176\n1782 39125\n41296 96988\n45488 91658\n4173 82568\n2713 44632\n35019 70108\n16051 91433\n22999 28166\n24533 26561\n73845 93485\n2765 17701\n4128 41061\n57104 61344\n4714 26073\n70565 97497\n4160 34545\n12084 68647\n20898 91118\n6296 10737\n5940 89179\n6866 86825\n89492 95876\n37637 86065\n16307 24557\n88232 97536\n70242 90440\n18103 84966\n16723 35717\n42385 60871\n11394 86193\n36730 81893\n65054 69133\n3909 17703\n33891 51484\n18711 74166\n36283 71923\n12387 98588\n50875 82783\n67247 86995\n4476 86298\n36415 42423\n19781 95637\n9805 16504\n39346 94774\n22074 61958\n373 50627\n10934 36326\n23481 30207\n21 11705\n302 90193\n35330 76860\n30479 38135\n2667 33239\n3528 15888\n59361 73798\n26077 77020\n48410 52756\n3399 89418\n58292 93902\n17112 20490\n33051 72133\n27390 80334\n44774 55166\n11102 94037\n37327 97027\n7338 85531\n54791 70739\n12110 49054\n13935 61778\n37995 44316\n61256 78731\n77399 93643\n3208 50597\n14832 86384\n56619 86752\n75576 88003\n47917 87151\n79238 85284\n52194 92375\n29030 54013\n5180 64218\n34812 67455\n57031 88727\n43114 60167\n82503 91925\n2534 91294\n42167 64570\n6768 86212\n18762 69784\n4263 42252\n4027 63774\n36570 86271\n78549 83382\n21030 85564\n53137 99094\n1767 44837\n18809 79159\n12946 73275\n92240 99594\n42032 73205\n44690 73739\n57753 76316\n40171 67271\n8012 19560\n3930 63144\n44105 59846\n26426 42589\n48067 67315\n33203 91333\n25052 45886\n18962 63828\n13508 99642\n56693 57029\n37666 92760\n5970 25909\n71794 96886\n2220 57765\n9222 46587\n73726 80285\n3834 37371\n49560 57358\n86760 87402\n3727 57320\n16499 92816\n10957 50851\n7877 68723\n58597 92359\n2122 90214\n31256 33440\n19382 56789\n76145 90913\n34487 69944\n88669 97351\n18423 20125\n92130 94565\n47559 75149\n59366 82753\n74693 93205\n27939 43576\n12682 63571\n10421 49342\n643 75199\n35545 54883\n50866 62903\n3830 67687\n23241 94474\n11178 89611\n2523 73844\n16754 35361\n49255 58281\n23668 41984\n61749 63718\n6114 12042\n8830 81892\n6128 59865\n65209 77951\n14098 59029\n17989 90797\n16968 19166\n63057 91279\n25753 53082\n32069 53834\n53387 79047\n9822 88425\n2708 24132\n40347 49930\n12287 89978\n16206 89617\n47539 70380\n1021 74413\n39725 72031\n6913 33704\n51600 59208\n5313 20178\n7397 32002\n15858 23104\n17978 33082\n15673 98398\n5205 51984\n54155 91911\n6574 76896\n1824 53782\n10736 33964\n47414 68584\n19901 54054\n22464 29512\n52007 77529\n71097 88985\n9302 38484\n2238 72025\n49004 85454\n17659 99668\n27292 31089\n92352 94371\n54787 82787\n6064 13108\n65903 93810\n69470 72657\n7169 14952\n59252 88038\n45094 51469\n25127 39161\n17959 74930\n45698 53792\n6433 38667\n18510 84999\n21658 42026\n31528 76105\n10444 46743\n17251 38308\n48338 87953\n50889 56242\n29923 67804\n30994 95095\n71377 86072\n5682 99585\n39180 83321\n25098 41495\n40782 53400\n1443 73853\n26115 34242\n8103 42942\n30415 87423\n657 63412\n58215 89507\n44953 51640\n38556 67860\n65334 82419\n22693 82709\n30282 99167\n89131 91460\n23820 54934\n72321 87961\n14643 95041\n3853 28951\n30843 75866\n73965 80540\n82397 83088\n41814 82815\n40045 45204\n54826 88503\n50823 91016\n62089 72838\n29831 66365\n63291 85360\n21464 93632\n18602 55146\n42887 79842\n45910 82239\n31313 49173\n21079 84783\n28618 75780\n63380 96297\n1835 53708\n1845 12439\n8657 59406\n54374 96037\n56743 76617\n26306 96087\n13075 48402\n12343 60140\n54349 67376\n4641 58622\n57814 94559\n12447 18949\n62518 64111\n1385 90365\n38829 75070\n24489 45022\n87226 98625\n71986 83452\n67110 88574\n31004 33850\n60186 66860\n39650 84233\n1578 12847\n64622 80214\n6045 46599\n23166 75896\n64885 89158\n61682 64729\n28626 87854\n44661 84113\n92188 97200\n35287 37372\n71543 79437\n21393 27541\n16569 53476\n19738 45230\n7421 22761\n67153 67160\n19806 92527\n21634 24158\n84097 96171\n56136 69113\n38790 86756\n42440 83244\n21147 49013\n29282 99996\n4305 41982\n9908 53104\n17371 70957\n34781 92848\n47912 57696\n25374 67774\n69285 89980\n50612 76373\n24313 49096\n24049 36750\n31655 71095\n70270 79530\n8507 79950\n28473 98409\n5815 8980\n19924 84691\n52245 58775\n75253 83269\n46752 88896\n35985 86095\n24802 78935\n36529 85193\n2645 32756\n20483 81473\n7222 28936\n16665 30708\n55816 63586\n22797 81146\n84335 97223\n49723 83030\n8544 61443\n49405 57651\n16821 91602\n56319 84216\n4120 94877\n10050 31611\n18710 92422\n60310 81657\n9970 95391\n37388 67973\n20131 43738\n63786 76552\n64838 78750\n41511 70309\n14484 79526\n84892 93369\n15454 17469\n83307 99554\n56649 76791\n78560 99923\n6973 31035\n18447 19798\n39586 89890\n13693 39828\n39562 58659\n12743 99094\n55239 93456\n922 10721\n20116 95315\n484 78391\n71960 82455\n44136 94762\n93557 94824\n31831 66389\n39230 81826\n46357 82431\n8136 53784\n66920 95902\n17444 41349\n16765 37468\n24096 41573\n31503 79948\n53266 78589\n129 11430\n27253 42807\n46402 84267\n15326 46207\n17629 50322\n27393 58524\n56863 63977\n90384 97631\n38221 55543\n13571 74381\n45206 54946\n45576 67381\n36549 78003\n13240 99874\n23177 40465\n876 54462\n31297 66621\n22415 81580\n48453 65211\n1305 95345\n21208 56991\n31782 53361\n82172 98710\n43657 74320\n2254 48737\n11912 23511\n48717 52677\n64608 79389\n11733 63966\n66016 75616\n48105 97514\n31464 92118\n1117 75424\n22961 48386\n35552 60519\n47886 97872\n26204 88714\n6912 21741\n7658 60453\n39205 87677\n22540 98211\n48708 72608\n68290 72280\n30986 87138\n57306 60765\n42773 51052\n47154 90406\n24993 31878\n25148 79039\n49623 83219\n48952 56327\n8570 44806\n29746 64698\n44160 46866\n33497 80002\n35636 87117\n17915 21273\n31826 82864\n52724 76975\n5558 96772\n72550 77578\n9299 14143\n24257 49339\n36582 55915\n42957 81293\n43811 89547\n44304 71915\n29818 65814\n77958 91288\n30615 31879\n33278 85218\n45563 89424\n36125 46981\n2166 85312\n12208 86645\n85020 96869\n79 19738\n2308 33015\n67536 73211\n10864 38131\n12516 57736\n68868 69623\n45013 52208\n21281 31009\n62374 67520\n33471 79219\n19924 71207\n58268 71426\n63481 74550\n43352 44341\n16404 88208\n40835 82193\n49 14924\n2911 90227\n6933 58246\n10346 26125\n11977 71156\n12551 90820\n61284 88942\n33842 38393\n25915 41962\n14801 67618\n42160 96538\n76219 97667\n23078 53294\n8492 93218\n6315 98081\n12811 75091\n5819 44745\n17070 46856\n40493 81042\n50230 93930\n67537 71246\n7566 64389\n18971 66228\n49452 67310\n78609 88693\n10020 85862\n22010 23125\n23298 61800\n67677 75696\n44098 50625\n65226 95086\n39910 57940\n55567 75333\n77410 85807\n14606 67470\n85238 95743\n36324 57711\n82035 84573\n90 32819\n69733 72463\n8973 12260\n78940 92203\n28763 89069\n22838 94119\n32540 58441\n66275 86465\n2840 19505\n4792 74196\n17539 98980\n24090 95330\n73895 86299\n88396 92443\n38332 58667\n5203 89101\n22527 62494\n11409 99796\n29034 44835\n69213 84419\n19808 70458\n46058 97530\n63995 65337\n41215 86077\n34817 43392\n56032 68090\n34644 90248\n40173 86086\n25426 27986\n41950 96644\n36373 98230\n72451 82405\n16866 99882\n83554 98521\n44393 57017\n65418 85929\n81518 91676\n41380 82127\n52936 86357\n14217 57613\n26766 87194\n15557 74848\n38419 76602\n5597 36147\n53860 89451\n910 59554\n6112 82050\n77384 92039\n6707 19019\n68084 78733\n16558 48421\n4394 30482\n19291 21163\n39337 83457\n67701 74413\n67752 79212\n151 76049\n2360 95135\n44858 92170\n49431 59873\n29947 30222\n29757 56069\n42256 60046\n48161 98210\n15227 31586\n89026 94508\n15818 36710\n31881 34845\n48665 89130\n47041 88397\n24584 87943\n65059 98595\n7242 40441\n46521 87887\n3001 92667\n80590 92080\n4355 78842\n11042 36657\n41722 52774\n63519 63992\n11894 40287\n14802 45034\n4186 97300\n52511 91172\n24039 63477\n14470 64074\n31532 76083\n31282 60684\n13005 27302\n36646 41255\n1729 32327\n21228 54668\n95622 98071\n3079 26147\n50500 88207\n30685 70059\n45431 82852\n58249 67927\n62472 83372\n29734 57144\n38937 96455\n48755 76453\n41647 50988\n65782 76715\n25548 69455\n78497 92352\n11927 83471\n16674 33135\n25933 48850\n20494 62656\n45116 76633\n17172 19296\n30605 72203\n6936 64723\n57535 81748\n11138 38463\n46973 63661\n57821 68777\n45999 47760\n15268 41661\n66890 67814\n62774 80148\n5333 29043\n36522 69982\n17002 59059\n45095 59139\n44803 85922\n57759 89584\n9275 9743\n87066 96575\n26444 26861\n81821 94347\n33796 56033\n81387 89413\n32115 97519\n1592 56819\n31367 45284\n35604 78342\n61722 70362\n72211 93952\n40976 87204\n64395 96059\n2154 88500\n55900 86716\n10088 52892\n1527 22979\n6770 19403\n7956 62875\n28767 73610\n8756 88813\n15623 42335\n46787 72942\n17546 59998\n31803 51365\n47808 51072\n16136 57594\n65569 74708\n67233 72405\n13726 19077\n29783 47498\n3871 94242\n73232 98136\n19427 49443\n20692 46570\n41657 47839\n48672 58783\n84510 86883\n74761 79315\n6846 53572\n29698 86141\n74275 99405\n42061 48282\n58220 68089\n26452 67807\n445 48697\n5950 76855\n29234 74459\n24929 35252\n48251 88342\n61003 77867\n26355 27296\n23331 80228\n36201 45363\n36362 84539\n5202 48507\n57587 65067\n64867 74783\n22753 78405\n71111 77524\n39305 63637\n22648 28258\n65175 73404\n48000 60569\n9718 27261\n20471 29388\n74971 98350\n30071 48862\n11890 95691\n1378 51519\n70921 90505\n41652 49720\n29806 66738\n1792 49705\n59830 92233\n30217 83095\n39395 57675\n421 69991\n14587 40224\n66858 90186\n5352 70569\n33028 36901\n1411 72234\n32263 62228\n46442 73801\n30013 52140\n46 66559\n159 17177\n1416 40260\n32052 47296\n82583 99647\n48434 74721\n35863 63350\n15117 63272\n40888 48556\n36714 65567\n37813 95869\n42106 97599\n912 80838\n38149 94595\n64541 68827\n36412 56689\n46554 88213\n20997 28407\n44955 84809\n38227 88494\n27527 43536\n24059 92766\n26783 39105\n27837 78412\n31021 52130\n78222 96223\n36575 56529\n41257 94472\n31620 35756\n24234 47035\n48795 86926\n19362 84575\n51859 55003\n35658 51141\n27173 71638\n47287 71905\n34219 88561\n27187 58391\n20621 49621\n23115 48376\n58887 82290\n15972 21560\n31090 39805\n3133 49098\n26462 70903\n68906 95861\n22732 94675\n50670 86050\n52661 86235\n1626 56008\n56048 56716\n28322 86759\n11792 76919\n33067 61642\n71020 78549\n41908 77000\n65979 66104\n54238 67911\n9522 94351\n70243 91544\n25386 63938\n47422 90445\n46172 84187\n21230 63013\n68917 75105\n68996 72849\n69102 71862\n4463 45238\n47365 56141\n35820 77932\n20812 21357\n15237 50943\n56189 69701\n20351 37985\n58369 80509\n24469 62661\n10973 14146\n32711 90426\n35469 75410\n68903 84826\n698 13513\n13642 66457\n21534 38272\n22549 85585\n53173 92346\n75997 84969\n5860 42401\n60766 85916\n72266 87152\n4129 27738\n3393 34534\n38477 94593\n23067 77115\n70467 99977\n5182 81641\n22306 38302\n30482 70742\n14308 88197\n17087 97020\n66102 79040\n41715 68530\n24356 95657\n31872 32931\n43382 65084\n5275 76101\n56104 90464\n48305 51049\n14781 94330\n40331 47852\n9950 34814\n23222 65967\n25184 82880\n735 5268\n6974 81624\n57645 86388\n59416 75457\n11183 71392\n25752 37351\n2755 52029\n19329 76887\n54565 74672\n62949 70298\n60364 80749\n52674 79836\n23590 62109\n37268 74009\n17438 55547\n8834 90125\n28182 33770\n1832 87494\n34328 71188\n6467 18898\n8750 21529\n37410 73856\n58081 92309\n27237 79821\n33987 99625\n14031 22761\n5190 17191\n3706 92690\n24907 31264\n33380 83578\n36131 40451\n23552 83715\n3724 55110\n32261 35725\n5545 15308\n41929 95198\n37918 88980\n44710 93185\n35212 74397\n37980 94521\n3644 55094\n2294 75918\n32505 86528\n40206 41458\n15472 54938\n16672 30856\n3001 31688\n16181 43411\n72277 91651\n47968 86746\n69791 83679\n9501 66971\n57172 73012\n44346 54514\n36272 81222\n14227 34756\n7073 86231\n32295 62695\n74496 91063\n17772 23395\n10749 88248\n51459 54394\n1028 40336\n2720 43835\n20060 55846\n40569 87701\n40670 47152\n30786 73295\n37413 94128\n24910 25044\n39496 51549\n60536 88140\n17134 40447\n71486 82571\n48921 61379\n28311 80436\n44677 88896\n31518 67640\n7796 50687\n22675 92348\n41490 62432\n16240 82007\n15065 34525\n49511 86719\n95205 98796\n51205 58143\n80538 82728\n17803 44055\n20124 90632\n71842 83451\n22689 38068\n50719 59750\n62836 87428\n1004 53912\n8014 9150\n83627 88170\n35305 70218\n27615 85675\n49761 75765\n73476 96029\n26210 35369\n32474 50366\n5540 11465\n16812 88208\n52755 65146\n51957 70831\n36848 61786\n45469 52239\n4523 57897\n28587 53538\n10948 95080\n31720 50144\n11645 81666\n49222 61039\n18763 28493\n12440 99011\n84828 86741\n34135 91821\n20041 80833\n37281 53113\n14726 37495\n17158 80874\n54906 80284\n51771 75662\n50986 60112\n47926 48313\n4570 8584\n18703 84434\n32036 33420\n45593 61695\n65302 74382\n28243 84339\n780 46196\n52240 70908\n5539 22908\n17875 57712\n31408 62659\n18573 76322\n5175 42786\n11634 99812\n23113 87359\n71370 77231\n34966 99103\n29588 63636\n38574 62906\n44675 98949\n32197 43981\n71994 91938\n17985 89193\n8494 65522\n41727 94543\n28767 76756\n43133 80443\n20363 23777\n23307 58175\n28986 45864\n17386 68873\n30227 75182\n59671 94735\n3872 56032\n4141 14165\n14971 66105\n16552 47573\n62438 64112\n48085 55756\n20840 36438\n9061 37417\n12699 36472\n16407 36130\n23431 46162\n57463 79548\n42060 75004\n8572 33110\n11797 85126\n38652 78346\n1774 49652\n9871 78880\n9362 64672\n31131 86054\n69790 92148\n20285 56924\n53299 86957\n31687 99916\n60934 73454\n11180 29921\n35884 71994\n64922 88765\n14985 69296\n4527 17580\n60764 82994\n43989 89502\n26700 67910\n9269 67792\n15257 38128\n24149 87427\n14966 81625\n23627 84575\n95929 97707\n51594 73606\n2890 17542\n72058 92817\n80802 83346\n19570 61221\n34004 56683\n33748 74885\n40851 64781\n5414 38661\n17759 19563\n29641 31084\n14635 16182\n8097 92057\n43794 87791\n79244 85994\n61809 78834\n51139 82278\n37254 89201\n81910 98255\n8186 31800\n2469 22738\n84154 98582\n89472 91791\n18187 90747\n82215 97015\n62894 85628\n60980 84203\n50737 57435\n25945 30727\n25516 34188\n19007 26811\n6577 18890\n2858 7658\n30897 37351\n43599 80786\n26618 55003\n53981 91573\n81255 83954\n24025 79531\n20000 53904\n57094 99746\n23600 94972\n12043 76532\n32690 79153\n2838 61217\n14066 85528\n51608 89994\n68603 91011\n17524 59564\n32140 39663\n52741 56464\n66157 84929\n39747 98459\n17747 88097\n51845 75344\n30514 43144\n20045 30309\n57765 78745\n21170 97483\n4012 34418\n15466 48368\n77111 87147\n35953 43582\n62299 97989\n83642 96197\n4313 46804\n48348 84388\n32444 62494\n66632 76584\n41412 62668\n29288 52502\n39356 68830\n57730 94584\n46688 99573\n35643 45511\n42939 59159\n61458 95281\n23678 76731\n36578 75255\n32158 87219\n35961 61955\n10060 68982\n74064 90669\n36732 66038\n45939 79023\n50315 62618\n59869 68349\n32869 55480\n66384 69927\n59545 68963\n14365 15929\n2042 81630\n19810 77022\n56603 63278\n12332 55599\n2340 84436\n69432 98628\n413 47700\n1807 67150\n80054 88622\n32190 64563\n44827 56435\n33617 73682\n29880 51911\n56136 62030\n10478 95820\n19021 95519\n24201 36566\n3587 24331\n56678 77362\n7543 52775\n8562 41346\n16261 18593\n74364 77359\n4911 63744\n45003 62071\n31846 63063\n34753 54435\n21444 91574\n39910 65331\n43504 96488\n8309 68216\n56443 76506\n45687 65091\n1811 9698\n20019 75375\n841 17021\n95937 96473\n50218 51109\n56484 72385\n22881 25988\n31909 91961\n14724 47783\n84785 92794\n17592 75830\n17274 18156\n24944 57614\n31172 82618\n6569 30363\n18539 50351\n16313 58289\n54312 60991\n32485 98824\n34907 38321\n15489 24778\n31697 39604\n31640 94086\n37934 80424\n19430 37752\n10122 72996\n55355 62367\n29822 63590\n10288 77616\n25217 89378\n5627 22330\n63241 68387\n1943 63335\n89405 99466\n15314 94702\n2359 79776\n41276 46737\n54661 75264\n20915 67423\n56015 61251\n51560 65517\n82519 89584\n57906 76886\n27898 53124\n93572 96893\n55235 89604\n30484 38495\n12657 67724\n42507 60039\n83680 85231\n27703 79431\n50499 63680\n1528 13792\n39110 53214\n60454 64614\n27857 58821\n41433 78376\n22925 81161\n59699 62304\n6573 92225\n81751 84105\n36897 46726\n14636 94512\n37238 53510\n23203 56962\n8445 18972\n7824 77245\n9815 63153\n38040 64621\n74131 84140\n13286 81302\n25153 39973\n6559 95554\n38019 39058\n35081 92098\n82021 88624\n41924 61872\n29085 75334\n77514 80142\n259 64852\n81655 95298\n25857 53877\n45246 83297\n33184 56297\n15627 29825\n1980 79271\n60578 93326\n85320 94297\n73379 78806\n66491 85731\n32738 50909\n35060 77926\n41030 53514\n79096 99944\n18502 62740\n23292 77736\n45629 67985\n25255 83848\n39851 44817\n78942 82171\n5179 51416\n49513 61412\n12510 28679\n48816 77884\n24414 89372\n24418 97663\n259 14415\n3418 80786\n77348 80637\n64801 85376\n78850 89727\n11419 49706\n53681 64514\n11071 91635\n13990 67168\n79057 96406\n16890 69547\n380 75161\n52233 77659\n76893 76947\n16837 75482\n56502 80919\n41780 94873\n64575 68925\n45460 61983\n45007 98906\n50328 64828\n23857 73449\n16795 46267\n8064 8887\n47915 69915\n14422 50865\n36005 68446\n36307 50327\n16556 60274\n19892 60771\n11466 97680\n56966 79483\n11257 88634\n60024 74317\n50740 70447\n50312 85112\n14691 53826\n33221 50731\n66288 96391\n72061 75782\n41760 52134\n36203 54409\n5226 54860\n32426 94590\n32131 96412\n15695 46888\n38136 61695\n41148 67814\n42925 82276\n26146 56606\n10144 36612\n118 11352\n44470 98264\n8143 17339\n40846 81005\n29700 69858\n26062 55057\n361 40691\n23305 89928\n64162 74154\n32819 39043\n22964 39243\n15844 27345\n29119 69601\n24209 93148\n22007 91515\n64488 66444\n31694 64868\n52888 77662\n36269 89685\n72511 78090\n4785 89333\n39955 86162\n37893 79165\n21450 27357\n80667 95271\n62 56765\n15468 22693\n3444 18768\n5717 89231\n33024 40072\n30965 68859\n94437 99541\n26742 96891\n17525 84738\n24940 92996\n81416 83559\n30459 36038\n4962 52648\n22390 34765\n14637 37679\n49338 70676\n396 81001\n23037 64512\n3044 63948\n3036 26148\n56130 81477\n16084 89010\n30494 59120\n32571 38519\n3876 53051\n61534 62365\n32638 42830\n91855 95219\n16370 59993\n12397 54601\n10668 98441\n11319 81624\n64421 90640\n9477 51836\n94383 95272\n25531 95518\n54990 63749\n22488 86816\n24231 64592\n65722 81222\n94063 98495\n14263 36504\n25357 49756\n18427 74924\n151 76230\n25424 90060\n19201 71595\n24867 42671\n14631 92113\n65040 74665\n436 9912\n35558 44301\n68306 70781\n49246 58231\n63281 99627\n1965 16504\n15700 31727\n5134 95883\n9709 72023\n36125 39984\n15173 58176\n5699 45299\n66437 82761\n47618 81405\n37443 98605\n4134 77280\n12236 30019\n56032 75321\n15492 91729\n25832 52717\n31314 32132\n31373 64824\n40039 42997\n56971 87027\n31572 82465\n72845 74079\n19712 93646\n17075 60309\n81226 89329\n45122 83953\n35523 51135\n67051 75166\n1162 88126\n77215 87985\n42897 99258\n51767 90791\n34634 98935\n42101 52021\n24992 35720\n45376 53205\n9115 55657\n59115 62954\n85321 95903\n30126 79576\n17310 52065\n50578 90053\n51696 65698\n3143 95657\n3676 6721\n2782 56470\n25701 84677\n2765 98551\n33439 60774\n76195 94832\n8970 28720\n20348 98032\n79766 98831\n82894 83512\n18524 22670\n93345 93971\n21583 82492\n8700 87737\n70222 83819\n39325 70292\n696 70201\n67613 97954\n14942 65909\n45458 57420\n38979 54602\n25522 76961\n40921 68244\n23833 63478\n25337 26871\n2658 78054\n30639 48319\n75218 99916\n23128 96943\n5420 90936\n294 48797\n14661 76156\n65275 76847\n46 50330\n8036 80638\n18339 84724\n27564 96613\n12738 96337\n14525 87400\n30348 47426\n59177 94351\n14798 55706\n36814 62592\n28685 80866\n34824 73264\n39445 42162\n35295 46919\n50135 93421\n14645 48783\n17179 34718\n54864 70057\n63528 84181\n18541 92947\n48154 78497\n51162 94723\n84475 92789\n27803 75718\n21550 31947\n14465 27051\n19802 40846\n28885 29915\n21655 24831\n32533 39850\n6709 52006\n22820 76201\n18440 38139\n6306 19609\n50780 94369\n53439 87741\n9297 50717\n26624 36488\n15517 95264\n22307 79323\n31998 53559\n9030 32782\n13942 84466\n2396 91058\n40011 87490\n75647 89768\n43416 43958\n60926 88601\n33458 81015\n78864 83171\n44915 76594\n35007 93411\n62370 73259\n26393 37064\n22925 43458\n31753 94954\n20515 79610\n91288 96764\n82238 96204\n26754 68339\n13076 21836\n31609 75317\n21985 84878\n41817 84667\n72098 94352\n7153 15771\n38523 46868\n29508 43343\n16567 46857\n22093 69604\n20732 90151\n39462 57122\n24079 64890\n46685 88452\n31919 80836\n61201 86648\n21317 31152\n20333 48383\n9181 25078\n69539 77325\n9132 36706\n57600 64290\n13734 74748\n13967 75933\n58164 98568\n45796 84186\n18474 38739\n74534 89131\n80885 90743\n32918 93587\n9146 99020\n2246 46022\n38416 76235\n8933 13719\n3921 94465\n16123 95673\n4562 42443\n39762 70437\n28183 81082\n61397 70406\n678 20299\n48078 94279\n86220 92735\n80100 92137\n19753 32689\n49808 85514\n16882 57692\n12051 25484\n31665 85427\n42336 43420\n23351 27155\n30307 93414\n2168 28156\n59744 91998\n34536 71623\n6386 51398\n35588 82182\n33335 91525\n46876 91885\n33968 73774\n56294 76809\n66830 86425\n23763 60604\n27498 67403\n25046 82424\n27668 94180\n23132 94602\n2 78659\n39235 99919\n11767 46987\n5722 74752\n61963 66847\n24025 27580\n34102 85576\n1396 52038\n10124 75651\n4025 93598\n68467 75611\n31754 68833\n20904 58318\n14643 87681\n88309 91733\n11117 11528\n31506 91746\n18497 84353\n45487 72901\n65661 92804\n59645 60277\n6372 66009\n74128 87687\n15248 99773\n56619 64869\n7911 79612\n65964 67200\n37493 77937\n38168 78617\n76907 85765\n82095 98809\n2536 83266\n37022 56513\n48949 71958\n69857 92433\n32017 54288\n64958 65745\n13035 36577\n8000 95683\n2709 68713\n12158 84640\n82502 90127\n43297 79014\n18666 34952\n55664 84580\n82869 96645\n22942 26236\n81296 95604\n32051 75102\n10579 43932\n39847 91652\n56275 91734\n54327 63042\n17067 67132\n88422 93965\n50959 82276\n3411 64722\n28302 48375\n22061 67146\n16148 20089\n70681 80480\n60965 76758\n47335 54689\n32609 38430\n7704 75735\n48969 99775\n75801 92630\n39784 47917\n67471 90034\n24298 71367\n66939 98369\n41567 67949\n29781 95015\n38973 96672\n85528 90059\n38884 54077\n25284 73684\n65433 96093\n3883 72814\n9458 27030\n49677 62832\n28515 72410\n155 51973\n14217 77992\n87339 96792\n78117 95335\n49280 66340\n23509 51156\n33174 56691\n59331 89863\n2845 16652\n37082 93275\n70172 72532\n49574 74955\n40835 61818\n51144 92271\n3813 24584\n24826 87062\n22271 71843\n47568 75160\n11885 88818\n59744 87698\n7097 17424\n1963 48642\n39113 83878\n23953 53636\n4101 44563\n13573 63237\n17967 37771\n18244 58766\n5254 24041\n23063 26120\n32512 98173\n62727 79343\n70426 76409\n18613 44295\n68624 78040\n34307 63136\n15514 73388\n20971 76009\n11803 56837\n71828 75553\n21314 74489\n25747 64720\n28849 93875\n73832 97753\n14782 70754\n21851 33391\n72916 87286\n72283 99073\n11454 72870\n16364 28492\n24578 83879\n12320 39949\n76440 99760\n94405 99243\n22825 31550\n16818 60195\n40580 58784\n30186 88777\n90315 96584\n64706 74955\n18473 53013\n3753 28361\n11148 85961\n7195 26412\n25175 92167\n18375 85551\n65842 80625\n83612 92969\n84612 95001\n7325 9085\n41534 59464\n41042 90764\n12622 63786\n57754 84103\n11093 67588\n53809 76418\n29276 72027\n736 18197\n33704 87273\n17165 30846\n7950 23263\n12893 46754\n77447 97829\n28404 52354\n11183 53683\n48869 81698\n28520 39463\n16092 64761\n21188 97410\n16589 95448\n50270 60305\n12989 61270\n3467 45336\n53833 95791\n78926 91426\n24331 31564\n43962 93844\n1654 60148\n26842 71988\n4859 67154\n11012 26442\n39636 79094\n23229 78130\n50434 83403\n23754 33597\n27518 34538\n74263 75260\n12273 75409\n80307 80499\n89331 95231\n23619 66548\n15800 56431\n18135 32716\n30350 48922\n55354 56856\n31918 52317\n12101 73548\n76173 81015\n35313 64828\n25475 60839\n33959 89381\n55806 64487\n38050 49793\n34006 69331\n25387 52235\n21184 71674\n6951 99845\n14857 24063\n47228 80956\n25742 92287\n83045 89974\n30715 53939\n14196 39799\n31886 40378\n54374 83763\n70789 92131\n4093 87913\n37939 80250\n43393 93477\n35489 70105\n45423 59636\n61186 92172\n40582 77730\n32897 34791\n9522 43218\n1402 33502\n13467 46221\n15410 29905\n15790 62710\n34082 76867\n18525 34742\n9278 47000\n4881 46611\n63594 96090\n19658 54253\n22373 62287\n68932 80025\n1009 64680\n18812 22125\n13653 71249\n42671 71742\n9454 79116\n11389 41398\n22136 25449\n31338 79167\n80789 88262\n5633 71468\n29098 86211\n48070 89506\n22995 43745\n12208 91964\n37047 53219\n16248 37131\n19094 35926\n42942 94437\n2332 77638\n68372 83799\n43714 68607\n8802 51912\n13080 90115\n4771 91609\n44800 73344\n20569 59362\n20193 96378\n8099 18633\n9302 57966\n62335 76982\n3473 47872\n13994 37616\n1661 2228\n48625 94239\n33758 58949\n52190 84839\n5681 86016\n13591 34383\n26257 97441\n43894 68970\n9657 37885\n88325 91928\n52691 58410\n4247 30921\n40416 73539\n7146 34443\n48245 84415\n73954 97728\n3343 87425\n22919 43479\n65530 95999\n835 5075\n21782 86289\n43936 54247\n31034 95422\n62488 95702\n39359 98748\n1287 24468\n32251 49569\n19612 65565\n67867 69872\n39070 41068\n49978 62822\n5182 81501\n25707 93980\n37718 94354\n4093 82579\n15082 66927\n10999 89427\n16805 71364\n66153 81000\n1321 74163\n23119 44659\n15955 55688\n34029 69181\n2671 96098\n19060 45389\n34146 48383\n28100 98948\n59073 80488\n13588 35828\n87873 95807\n86615 93689\n40173 75943\n14050 46637\n75756 77166\n69441 93564\n48663 61579\n8627 88076\n410 91978\n26209 77875\n34095 68356\n58445 87288\n56377 72970\n14055 25737\n43457 80811\n45968 65516\n26114 77957\n53894 89601\n25400 98229\n15006 62690\n8796 14051\n46042 87164\n34045 67653\n29422 65402\n69892 98888\n39837 51779\n15080 46532\n12825 87388\n21013 88003\n33401 72526\n36973 86659\n16770 24934\n33012 90803\n57857 73003\n26083 79283\n38427 57367\n21415 69897\n55443 58937\n24485 41229\n48330 83490\n8934 13016\n44088 93979\n77400 91616\n25275 32173\n22360 84921\n39226 57040\n59162 84289\n20262 62019\n66792 71403\n2749 30101\n5783 10321\n15801 92571\n30905 50823\n8037 51652\n98026 99548\n61384 75769\n65417 73711\n40434 83877\n57399 70767\n1440 80567\n22050 38958\n64329 65421\n22217 58820\n31723 89927\n53642 76901\n50795 87576\n8443 32331\n15696 51004\n35672 57354\n11194 94402\n12466 39945\n38386 95098\n44561 95723\n36727 65961\n63587 90618\n5876 96951\n23652 52787\n61137 65360\n18435 92848\n89433 94023\n17414 64287\n39186 87658\n20414 49442\n2074 9442\n27938 45708\n17064 46578\n73105 94413\n45740 82927\n21867 44646\n274 47713\n35961 76853\n31835 83901\n21237 38322\n7673 27733\n4048 19181\n79355 80386\n3800 10612\n43762 69662\n31086 33885\n13882 61935\n66369 74427\n12748 90475\n16198 55278\n46100 51575\n38271 96427\n13551 87341\n63864 69794\n14704 23513\n10372 34051\n47199 52560\n31007 95262\n8201 71983\n10140 81125\n39537 82627\n71818 81989\n18573 32950\n31917 74922\n62974 86339\n20733 53163\n44674 58358\n14461 59531\n11820 39857\n2509 29121\n24153 63933\n36746 44124\n42413 73117\n89384 94406\n18484 82313\n83206 83958\n26289 83202\n28899 37697\n18359 26592\n9319 21345\n57269 66810\n4975 64904\n48966 60951\n47423 82189\n3193 91051\n16541 42493\n29743 54505\n45899 74947\n18460 48616\n15838 30936\n32734 68312\n31579 36552\n76877 77557\n49776 72782\n6467 62645\n38019 80203\n39574 66209\n36163 94694\n9123 23849\n42638 73951\n20440 53009\n30037 96161\n91960 99230\n45313 84117\n153 53181\n24291 95885\n54366 79198\n24830 50915\n34848 44205\n56914 90258\n29773 88431\n11136 58695\n9280 38293\n46153 52145\n61827 83867\n20136 78093\n27614 29313\n22512 76618\n46170 93136\n28773 69530\n4477 4668\n1155 31454\n8935 90253\n94935 99586\n7913 72337\n26466 66837\n58826 89761\n45826 51891\n3887 53190\n4699 49402\n7699 28336\n3170 74688\n44759 59113\n8624 89898\n5854 77630\n83567 90389\n58525 93438\n13325 81388\n3031 27664\n15422 75578\n12600 64561\n83227 91507\n47405 75358\n56215 76049\n6685 63147\n42523 57616\n86663 95171\n25236 30219\n33570 46962\n22064 90512\n5928 51653\n44225 91188\n65100 92541\n20359 40785\n42619 95785\n26183 96600\n1301 71812\n4886 42895\n10333 86415\n44130 79626\n14757 43204\n1262 29033\n4962 69581\n82534 95498\n29049 37091\n6918 85112\n11131 81909\n6870 49970\n11217 75588\n41826 89408\n7078 23975\n47926 61332\n18677 83252\n49611 82600\n74008 91329\n47645 64662\n14453 45477\n55830 70962\n2961 22542\n49110 78865\n57207 78270\n41795 45680\n67139 76716\n73957 81810\n5958 6662\n12041 77581\n15875 98777\n2569 63895\n52741 56857\n42814 47640\n2072 67325\n71447 87824\n7574 84311\n45117 74130\n23528 91486\n39754 51972\n5438 62933\n20768 64396\n16215 43991\n86507 91953\n38970 63318\n51153 61148\n58503 77977\n2822 7524\n24074 85063\n9239 58143\n18519 77933\n27717 36097\n26246 66218\n16262 42174\n966 98643\n45896 92294\n40130 89870\n22323 33532\n9373 95284\n60686 74300\n5244 96908\n10021 31474\n32635 93401\n17750 42495\n10959 12305\n36934 65757\n44891 59292\n45690 59363\n36672 64352\n2049 12189\n32602 36559\n16853 79202\n12319 41506\n24466 36545\n37859 68955\n6771 70611\n43568 90998\n2167 81697\n14540 49669\n12932 63065\n65915 78188\n15340 63826\n25284 26122\n30264 86043\n11731 73347\n36773 79182\n14355 27359\n2392 53025\n23434 34154\n16982 79829\n44383 90233\n27762 73084\n26479 82261\n21752 88837\n62454 88745\n80309 81754\n24057 26483\n34160 61274\n70371 89421\n17456 50822\n61760 96883\n44617 45963\n47543 99242\n25158 36511\n12 14540\n70784 99526\n80457 97476\n26916 40124\n65007 74042\n33829 99200\n46784 47480\n24182 61784\n52200 77137\n30103 31333\n28753 50884\n2574 30158\n29702 81609\n60850 89366\n5491 63271\n48581 96072\n785 15066\n2754 31251\n19412 26480\n13752 23221\n56244 97908\n39916 86923\n58798 98094\n39100 96676\n75265 95778\n3455 88837\n19686 68240\n6617 64961\n18011 66737\n48732 84648\n39259 99552\n59057 85252\n13429 75759\n76359 87850\n58319 83479\n9427 10671\n46025 52653\n4944 23999\n58930 79984\n41827 97173\n37943 74364\n57924 73030\n38834 88741\n74666 84262\n27201 35437\n15754 43018\n9409 56434\n79196 82759\n32797 97365\n75837 98388\n79714 90204\n58293 94150\n6197 29478\n20486 40818\n21674 41306\n18440 55111\n53031 85248\n69581 78612\n24323 80709\n10211 79683\n16568 68720\n3041 8079\n80643 81655\n9510 65291\n64229 85103\n65853 81851\n76818 86386\n4325 68191\n4235 92145\n18663 73264\n39967 74472\n34833 75774\n24348 60038\n62120 85409\n40402 99307\n19135 63213\n22421 45350\n14190 18174\n55708 59967\n82508 95145\n35375 79109\n84652 99329\n48682 56694\n7189 22515\n55830 85124\n69474 99945\n25479 66331\n3549 61713\n4873 18357\n10452 35638\n64231 68469\n24155 74121\n33208 96117\n8467 73671\n2364 50324\n82701 98433\n74291 76591\n91587 94384\n70878 83468\n39117 88286\n43653 52090\n2185 70091\n21642 77999\n43059 90543\n14572 95665\n17707 21219\n62689 97758\n",
        "output": "362\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 95,
        "task_id": 541,
        "test_case_id": 28,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 100000\n28880 59634\n35877 72202\n4801 45897\n12889 68498\n97588 98893\n15681 59756\n38735 82453\n21394 29776\n23465 32981\n23342 41443\n11628 55666\n14896 91114\n41479 47773\n12146 48294\n55084 75568\n38664 60906\n40508 86115\n62372 65163\n27933 74041\n36539 60487\n25091 67129\n10215 68674\n4946 31121\n48602 92779\n39508 73821\n57546 96256\n36593 88442\n39699 42171\n54682 68138\n57779 65589\n18911 83084\n33841 63356\n43154 54056\n9444 27586\n36324 70777\n47045 49036\n21606 45584\n50707 58621\n7919 24717\n60669 94768\n20426 78572\n89810 91180\n32152 57455\n65505 84623\n10082 23138\n64024 96302\n50633 56907\n6582 28341\n26649 50039\n20682 59687\n48666 97706\n31359 38081\n72058 96637\n9133 62987\n39743 79869\n20855 41837\n7372 62682\n10467 43937\n9034 98796\n88082 95721\n33721 38383\n69587 75745\n4201 39728\n11557 47028\n28490 76287\n4667 59963\n28225 85635\n48999 76766\n3083 36967\n71267 88774\n71994 83323\n856 3415\n86152 90445\n32244 49797\n1034 19296\n46607 55645\n27580 43590\n56635 96899\n19481 49635\n91652 96243\n11275 77926\n56479 71859\n38213 76215\n31875 56905\n26701 64205\n60956 85096\n17749 88793\n2547 95801\n12338 80946\n25392 33819\n19621 64812\n28948 45476\n50633 86115\n20351 77716\n6486 66219\n13508 46768\n1851 5364\n8618 42985\n38979 43848\n73783 85873\n41537 67924\n23306 49208\n17679 24451\n63069 95543\n10682 47910\n44413 84693\n866 78240\n5179 68648\n55976 95681\n9562 40730\n62619 71782\n61467 78448\n33827 74678\n19363 84911\n22488 78339\n57603 66122\n20738 38708\n26389 89284\n26519 87766\n6255 50059\n46115 97375\n5137 35530\n6975 28477\n6123 88380\n91177 97342\n28077 42670\n32708 89823\n19171 83020\n38226 82159\n16413 94038\n2532 45104\n10790 54941\n17521 87702\n44851 57272\n28787 91735\n64699 87095\n47910 59696\n31714 70363\n12389 81682\n66099 91152\n12759 62747\n70274 96470\n27945 29214\n70563 96266\n32205 57756\n9048 23790\n80440 86204\n73614 89606\n81319 89598\n42969 76456\n30305 64286\n37835 52304\n62932 72988\n4849 69246\n7756 63548\n4357 41044\n8937 36624\n44012 59819\n2577 96527\n49650 95523\n64304 95358\n24207 35422\n12490 77257\n479 93002\n31098 81994\n11031 25767\n51659 70398\n21854 43906\n85879 88513\n24089 70837\n18507 93752\n56405 59419\n17589 87841\n24113 57614\n23288 73918\n21524 51919\n55114 92396\n71611 73363\n76202 79819\n20357 65952\n32098 38091\n55880 62703\n39590 90915\n16072 99439\n31063 56313\n952 47206\n9846 36909\n16593 30732\n50070 74833\n54377 65321\n59104 84187\n44600 75347\n76255 98678\n45664 60293\n15106 51150\n5679 31823\n17852 96135\n37055 58727\n81085 95554\n78031 91747\n84999 91058\n72001 85841\n75310 84827\n80386 95177\n67215 77293\n27358 44770\n56999 71294\n13477 32325\n10085 94038\n27599 94444\n56124 70314\n10056 96258\n60827 87133\n32011 41981\n50096 95271\n60670 76391\n50808 63516\n13938 93881\n59010 68054\n23974 80122\n54602 76222\n47306 63131\n15741 16841\n63946 92496\n38280 84176\n41986 93392\n29813 96410\n5141 44662\n19698 74282\n2489 70817\n13793 36572\n40384 48061\n21258 25212\n85456 96904\n22162 66833\n4601 88627\n77292 88130\n35540 44931\n440 90200\n1789 43646\n69725 93314\n13404 36008\n12751 18539\n26278 36277\n21080 78748\n3166 18559\n62181 71390\n1520 12755\n11139 52165\n29879 32766\n33441 62795\n18571 40889\n4275 30065\n42493 84604\n31901 64201\n40021 73594\n36876 98166\n6810 71197\n21518 30444\n57904 61409\n8661 10026\n48799 61893\n16737 80156\n45668 74311\n16208 47006\n68801 89987\n68357 93443\n3921 68077\n38360 75772\n85816 91354\n11988 51672\n14516 58913\n51451 83858\n43839 95572\n34772 41890\n34647 72225\n75750 89308\n22477 87015\n55209 89997\n2983 58634\n741 86488\n7812 26765\n4544 37070\n29346 32326\n63254 75302\n25127 65429\n89566 99914\n42180 48665\n26316 38445\n11003 40868\n46159 89635\n47168 53719\n37273 76284\n47399 61160\n56440 67162\n42452 73215\n14484 50777\n63330 65704\n52428 73891\n19372 43042\n67031 90699\n30027 41618\n46207 78859\n7834 8385\n51973 72182\n8631 28367\n12924 67872\n44246 44675\n39464 47249\n2021 4596\n19367 26532\n5105 95358\n49641 76211\n69810 71826\n76581 88189\n1571 79920\n34894 75573\n11883 75324\n38846 62359\n21110 35866\n28443 31964\n13169 55982\n41427 62259\n10981 11968\n11294 19184\n56233 74668\n26979 79896\n35925 82262\n60910 72480\n11069 22683\n4704 69992\n27528 37535\n28091 28176\n20549 66003\n92740 98522\n23786 75366\n10353 14677\n35594 69270\n35405 73534\n954 80136\n38236 66358\n54116 69469\n35600 67659\n20935 97220\n57443 76743\n33976 91643\n85332 91735\n16149 82744\n68095 89842\n4463 88491\n1831 71866\n18468 96933\n13316 71164\n28337 34808\n2826 57477\n34709 87863\n58152 82341\n32738 93082\n60010 61122\n78456 88961\n37707 44460\n30937 71063\n16334 50551\n31868 82908\n40143 88301\n25831 38462\n56031 61674\n61325 64215\n53166 93451\n32002 32329\n26185 52269\n67023 71471\n29424 57741\n21009 80154\n46628 74064\n49337 75475\n5194 23638\n78425 87237\n44036 88584\n65760 84902\n12850 33579\n78006 80806\n38025 80689\n36390 53465\n37529 64604\n3031 21570\n6022 65548\n69616 91949\n24540 39142\n51421 53909\n30926 63987\n11022 63980\n17723 94852\n12935 64181\n79727 82316\n35799 70440\n20242 21913\n22611 58255\n54334 64793\n72401 91510\n33509 53022\n57002 73755\n62420 62646\n3937 38074\n709 79944\n47147 50220\n3746 50351\n41514 60583\n9274 97871\n10883 92616\n14757 66465\n50727 93572\n32718 67771\n10702 16145\n21909 29054\n26708 29961\n3168 7468\n15125 74321\n71826 75869\n34195 35070\n766 96978\n87800 96775\n8016 16787\n9944 85513\n1784 45806\n2318 9519\n56520 69638\n37218 58329\n29608 52264\n4679 84638\n51491 55242\n72645 73411\n4414 43421\n48789 67104\n24915 96207\n23284 67368\n8371 80539\n20528 86312\n42666 51696\n31273 87361\n3480 53464\n33593 81366\n10738 86736\n8477 86742\n7501 22768\n73763 79904\n11043 77619\n34079 44717\n13812 51673\n28463 42394\n60222 92849\n65148 92370\n29135 89513\n61783 80383\n52359 54756\n1929 88054\n10675 41743\n43737 99932\n57115 67785\n35329 69186\n13020 78083\n11637 76631\n35375 59078\n7390 18421\n37467 85069\n11410 11908\n17423 34425\n10069 17910\n9436 85631\n55621 68347\n62659 71361\n8787 44452\n56474 61626\n21572 33186\n4016 61904\n7976 42485\n4182 36752\n84502 84878\n45316 66377\n4333 77985\n35386 86222\n37293 73050\n53439 60295\n24907 68091\n77659 91731\n55649 61586\n57917 67316\n72184 76742\n88402 97375\n49879 71642\n13432 40924\n43138 67448\n10593 89330\n55498 56069\n8071 36217\n8502 28246\n2939 41232\n52749 66753\n2567 44646\n44515 55221\n10672 81371\n22922 25143\n9632 49585\n37644 62457\n31898 41030\n20085 84836\n9952 10698\n23818 43672\n44626 78497\n45984 70310\n9024 56197\n30418 67683\n72497 81290\n45642 49639\n33045 63425\n48941 99081\n71743 89423\n40248 67965\n42457 54881\n2776 14385\n46337 56447\n44421 77540\n43592 87725\n95118 96996\n14934 86226\n48177 81649\n17190 96284\n23505 97547\n9477 62162\n80125 95989\n2364 53046\n8531 81690\n4094 71781\n44417 61563\n14687 29470\n12123 22158\n5087 20241\n49696 64437\n27048 40856\n21124 86750\n24127 87178\n20207 77871\n21975 32374\n56064 80403\n13347 59308\n1600 87973\n39598 96808\n70117 71895\n18899 48993\n41260 96636\n57347 60068\n90864 92159\n13244 83785\n5017 68634\n11761 22149\n9160 65144\n43614 44154\n68711 71583\n10143 85831\n18140 21353\n49326 79832\n31875 35593\n26508 73125\n72296 77183\n65416 66940\n24152 99733\n29744 81379\n80278 95827\n79471 94720\n5815 69494\n54253 79316\n31771 76906\n32770 49026\n19695 68253\n27019 73834\n39442 60764\n945 77799\n36352 84298\n11712 31507\n49281 98618\n3369 32556\n29510 80610\n36801 53282\n37610 70016\n14423 63683\n21408 87155\n88807 99786\n20815 72268\n20420 45403\n40085 73850\n51235 59786\n4754 60539\n11589 81291\n3123 55583\n66972 69343\n79105 81906\n51182 85487\n51966 77248\n53252 56460\n29877 32305\n57504 67706\n3465 28683\n61827 80789\n3276 36547\n6004 86149\n35766 36192\n56813 98480\n13331 70507\n62634 68820\n47845 81898\n42680 85547\n23849 52639\n9303 47985\n51424 52759\n81946 86888\n560 66932\n129 61416\n17310 48525\n17469 27728\n18109 86714\n456 55078\n27992 49671\n28295 84630\n22234 36959\n17074 65524\n39276 98530\n16308 51116\n19172 52958\n31427 51019\n55558 72053\n28251 58849\n4629 22183\n51983 65265\n36040 54344\n19504 52714\n21564 33719\n48715 63198\n5851 46142\n75766 92515\n3512 37915\n56257 57634\n13181 17850\n23785 58607\n26901 93631\n69899 98510\n25890 27007\n47535 96739\n83585 84765\n20056 94190\n3497 24973\n4556 10433\n62349 62595\n37178 88150\n2384 31197\n40804 42983\n17071 47533\n10498 49956\n56922 62017\n2813 56864\n18325 67659\n4070 58207\n41085 52354\n31505 48730\n3108 66071\n37319 64368\n63671 97570\n32994 85701\n5247 5349\n4815 83817\n10311 36423\n846 70646\n62796 68614\n25903 57049\n8271 42885\n30134 84207\n93139 98674\n70441 86170\n7684 98675\n17312 64715\n27684 70442\n22944 35865\n36611 66712\n79312 84634\n50801 68512\n66699 86615\n12016 38112\n22766 68983\n57779 89731\n39972 87693\n367 20964\n62249 87947\n62999 74562\n53347 96989\n8891 57024\n38669 48163\n18734 99573\n35862 70757\n35332 35867\n15989 32593\n36856 96174\n34396 96987\n62847 74947\n7998 70893\n47160 66517\n12717 13569\n65395 83043\n24971 52050\n17060 37528\n7366 97179\n37212 60238\n40556 86299\n60055 96413\n10786 54345\n13823 49428\n9345 48806\n24267 76101\n342 59309\n12955 24975\n12759 16201\n25699 58961\n757 33893\n10527 50994\n14927 83021\n55440 80147\n42273 62421\n48662 64948\n8316 93084\n6281 9262\n32616 37049\n28244 48862\n75380 92765\n39864 64735\n32535 95811\n11512 52916\n7699 98586\n47339 48093\n1438 41053\n1502 43173\n15366 52289\n84658 94794\n17520 90984\n9566 24111\n41353 46834\n3850 67928\n5019 28144\n17570 48192\n68150 89181\n29400 34493\n6868 75275\n86152 86466\n44674 83969\n27859 99127\n12080 49163\n80397 97270\n1081 53795\n11500 20477\n40097 41141\n23796 91569\n13087 13643\n3028 82671\n40313 85953\n10419 52613\n53297 69628\n44930 54483\n14080 72524\n2975 55530\n49140 94654\n14434 36306\n59667 89963\n950 52134\n15890 43348\n46253 84360\n44023 90281\n32227 81519\n17911 26575\n48586 71936\n22171 90889\n22057 60374\n36700 54000\n29001 38097\n62497 93663\n59553 99228\n67238 83018\n20358 75959\n17378 66143\n46000 79604\n24097 37100\n21948 82125\n20958 45921\n21964 78253\n24729 57812\n32572 95210\n88233 97180\n27823 92108\n4219 71682\n72852 92650\n9461 30505\n26548 72816\n1733 69569\n23543 89788\n4629 31405\n80421 92127\n49725 77536\n18121 36202\n37348 81480\n85084 94175\n27549 35223\n48950 71108\n50016 95705\n39848 76250\n10686 65503\n44368 62316\n39418 48289\n859 48268\n77334 97969\n2027 78960\n15523 75982\n53431 55574\n3593 60195\n36082 81111\n8479 45923\n19940 34054\n91738 97975\n13425 17959\n43585 82136\n32398 60210\n4777 47081\n62822 77726\n35196 72661\n11530 79147\n7637 92240\n9457 74438\n11141 51211\n42904 42997\n22461 24976\n39674 92803\n16550 16654\n47285 80535\n54767 60165\n1743 14752\n65594 75612\n23960 34152\n39014 80584\n9272 67934\n50287 55041\n24146 45988\n58756 86578\n6277 85973\n44117 97370\n19693 98724\n23642 79289\n74421 84591\n6917 57025\n7258 59292\n5010 17113\n16851 42109\n2916 45536\n43712 53443\n11464 48720\n83608 94637\n38247 64540\n56699 83230\n1543 56303\n56889 64476\n16800 27636\n20064 56370\n8516 96512\n196 14383\n19031 63449\n21215 56726\n42505 57507\n49665 90648\n28684 60249\n27287 87024\n70812 91357\n21713 34420\n15524 35316\n51122 94005\n56390 80201\n14705 35076\n33600 46450\n22380 77396\n58655 71734\n3126 76132\n19795 54734\n55869 89829\n1500 14271\n62527 81336\n2649 82628\n77245 99576\n5486 26413\n11859 24547\n17729 77979\n31683 82997\n21782 90853\n24745 52094\n8938 59863\n26323 56135\n5905 10803\n98572 99820\n909 22776\n12358 43799\n94878 99662\n67752 82009\n51985 67149\n17872 87873\n25523 47431\n63411 70275\n2628 60074\n48445 69814\n4906 63738\n30327 69029\n75729 83469\n72535 80309\n35373 72984\n78761 81065\n75342 94619\n23504 65913\n11903 28442\n59507 96098\n11707 19890\n40118 58920\n10574 46263\n19129 88265\n31337 53481\n62900 67735\n32399 81051\n85087 89838\n2374 73058\n1081 3319\n61991 99617\n3625 7852\n4001 10335\n27736 62205\n40277 87443\n86473 94234\n44669 69686\n46286 47182\n46912 57762\n71265 76145\n48353 71200\n24244 55905\n33784 77028\n4387 88488\n65746 93234\n15117 24777\n16198 50594\n26164 37083\n89207 97120\n36004 75354\n21686 79790\n85827 92804\n32447 77496\n19796 56363\n3218 39264\n16706 51409\n36062 80228\n15660 19731\n34943 65468\n23488 76952\n39474 48748\n83547 97852\n83819 92653\n11021 99401\n5846 58313\n59845 82566\n11526 50453\n8520 23921\n27423 88687\n15240 57387\n36330 70644\n18378 42780\n21256 82341\n1053 90083\n48611 65121\n3795 53677\n2017 70190\n20672 67104\n40811 46557\n50712 63709\n2891 68300\n22006 63391\n5345 15098\n77005 90586\n11495 60496\n37963 57869\n71640 84160\n14431 51839\n53414 59814\n45744 49723\n3491 66574\n7918 71063\n65326 99425\n19902 49853\n69524 80197\n33358 73930\n3696 41041\n33332 69421\n47649 85634\n25187 36977\n13134 70985\n36244 81306\n41734 93215\n70676 84209\n12823 19769\n1330 5424\n47756 91986\n1405 35468\n39527 61801\n79578 89817\n51516 64032\n16367 84726\n44162 47238\n51596 59160\n17543 24938\n75052 83676\n11869 72460\n31658 33717\n35950 42439\n7355 29363\n76632 96971\n6831 47134\n22198 67185\n11454 68236\n7467 98342\n39954 84814\n12148 87268\n9688 63162\n37716 37923\n29407 59932\n36853 69075\n13565 56192\n36233 87066\n57015 81690\n53776 67794\n94468 97670\n49282 68151\n21056 44774\n1644 29498\n64100 87648\n31315 90648\n43002 82114\n32436 37733\n71496 92364\n17145 18831\n24974 53404\n10165 13044\n21623 70129\n29529 42980\n74519 86205\n47177 87332\n26744 82808\n10187 96385\n7689 14444\n31253 79679\n10509 96311\n6051 17891\n31430 61877\n11532 90132\n10199 81225\n47950 54018\n29885 61160\n39635 40672\n20670 98516\n32028 57801\n18544 44309\n50981 93637\n14969 93590\n29740 43238\n11263 45025\n16947 38627\n18091 59276\n10952 11937\n299 73094\n8190 90381\n11039 71069\n57503 96386\n27522 82147\n10770 24988\n42705 70657\n60213 73863\n5618 38699\n28257 54154\n22779 96831\n8044 82949\n28309 71072\n13071 31257\n12097 88445\n44580 96581\n6849 82877\n2978 99274\n1225 4393\n42992 69244\n38709 79579\n2968 94398\n32880 47699\n42025 88843\n8009 72979\n22839 65182\n12987 44064\n11834 93148\n7051 58238\n54274 73012\n70817 78528\n11028 62200\n42042 80443\n68240 99524\n45814 97240\n60916 79218\n55102 68258\n79776 90505\n28579 43427\n42765 61038\n69078 70905\n7294 57790\n36088 62634\n1236 33343\n21117 82019\n84604 86203\n18876 66705\n44042 66156\n17511 26372\n50039 61625\n3678 30559\n76683 82875\n5424 22708\n2067 80793\n31423 63002\n7107 48460\n7268 64839\n10300 82044\n35284 67029\n32088 80038\n10762 61904\n22476 75237\n61944 98283\n13492 65025\n42557 47318\n36822 87796\n9175 96440\n13219 38631\n60200 71829\n29635 46896\n84983 91425\n84111 87657\n22648 62073\n77626 92959\n40845 54145\n39768 68211\n1681 58856\n29609 60680\n1654 86754\n39056 58923\n11759 98453\n27309 37966\n28079 92089\n2251 16859\n43486 92102\n71748 88254\n28689 71958\n10732 18147\n22476 51860\n547 9416\n31948 32354\n12304 15513\n58467 93217\n41672 46951\n53717 68628\n63930 70347\n29803 88761\n69113 95409\n22542 30204\n19098 67361\n90659 99617\n36373 48397\n43121 49921\n26133 56500\n40561 88209\n29926 56150\n12324 15573\n11774 46003\n5092 64788\n25251 55728\n28774 61042\n31893 69376\n38429 87467\n25594 29950\n1331 1547\n55933 78877\n36050 58311\n1168 96180\n43466 68676\n25181 89299\n37211 42417\n36596 43754\n79131 86362\n9915 54988\n43277 76756\n33668 56768\n21115 54460\n7078 54870\n47463 55119\n23810 95841\n12846 74795\n3067 26364\n56887 65055\n27951 74178\n3195 42857\n3264 12732\n42102 46351\n5238 67092\n35879 68808\n5989 98445\n7609 51336\n5738 44064\n85554 88171\n6307 78778\n67641 93713\n2777 18946\n38838 66308\n30237 53722\n16182 56557\n34415 82270\n52598 87977\n46452 86586\n52644 78617\n63145 89636\n71579 73496\n19390 85692\n80168 94183\n34703 77832\n7422 40668\n16682 48426\n12355 84072\n28073 67442\n47730 91809\n30068 44165\n48522 52301\n1863 3583\n97516 98688\n68911 95641\n74032 87532\n54486 60747\n22229 57449\n12644 84677\n33450 93352\n7470 28794\n22244 29660\n68027 76767\n1837 88120\n98753 98999\n20419 22633\n22848 42823\n68138 85624\n10279 49013\n19382 41442\n18109 53372\n1457 38624\n4937 80291\n82351 91875\n914 57422\n31095 58691\n36170 83841\n15699 58794\n33997 44587\n42003 91977\n7434 61383\n23695 33032\n10705 85209\n10125 73220\n2453 46267\n83962 91105\n50789 53869\n28515 87992\n38867 82491\n12469 81828\n44119 85521\n28044 95927\n55197 99564\n13536 37485\n92557 94810\n40369 43329\n57217 98513\n60544 91633\n92829 96974\n10162 63897\n85100 99457\n19051 43191\n31389 60628\n57312 82692\n35783 36621\n23343 79680\n28094 62335\n1603 20738\n43349 75493\n24532 63623\n20382 47441\n80730 81462\n17657 69148\n8937 9237\n3774 7620\n26938 81918\n25057 57951\n59962 97129\n1646 32986\n40999 57323\n49027 89486\n4169 91133\n30056 67319\n33043 93457\n40218 53164\n67394 83511\n32668 78174\n48761 72519\n4978 73865\n44195 72542\n13097 79361\n68160 98863\n22500 99843\n1768 65620\n97591 98893\n22646 56250\n77666 86187\n28800 36706\n22097 40034\n48355 79069\n46405 63132\n22125 54598\n54736 93852\n8892 45690\n38684 55561\n71762 99716\n42045 91322\n2180 59896\n28101 71293\n22423 87572\n23727 83479\n12071 78485\n19361 86999\n9097 68755\n19134 65276\n25956 92566\n408 76780\n61488 93296\n92131 92595\n14761 82369\n87471 91417\n10528 35588\n16583 52239\n31588 84386\n28475 83459\n9708 17123\n10504 35953\n5921 48882\n36072 79160\n17863 43213\n11105 15689\n1548 52345\n29846 69082\n33526 54656\n39681 96219\n16127 43269\n51029 92038\n33946 91902\n20151 80117\n22400 41393\n1124 38871\n45187 62812\n4397 9243\n25862 66013\n87016 98341\n37549 68691\n33501 81337\n86548 95182\n10471 10776\n21854 61468\n51196 85336\n7924 20236\n26827 30028\n10802 16994\n66590 79741\n29761 72489\n8647 96079\n35633 36404\n42967 88713\n42358 88781\n35796 45230\n60211 72624\n18766 79033\n75511 93302\n55289 82608\n20815 92857\n29029 97846\n9979 17688\n28256 61765\n32702 59595\n13637 92581\n43758 94266\n42882 47567\n13585 61262\n19563 32261\n5162 62866\n34595 52778\n62749 88706\n57383 93410\n87412 99846\n16234 68016\n63461 77352\n30778 38310\n3753 67781\n54332 72305\n45182 59795\n3348 20596\n95384 97745\n30319 66420\n64267 72415\n1054 50480\n47246 88997\n5889 70582\n75979 90701\n10038 22555\n36290 91470\n18345 80333\n7291 59619\n30882 40994\n3692 33784\n59056 92457\n50674 68128\n16632 33805\n56203 93573\n51883 90911\n11911 15386\n52770 83232\n57371 63811\n63963 71306\n11256 19810\n52391 60651\n38805 96547\n2588 88244\n30045 80531\n17846 97830\n14429 59230\n86062 96804\n62032 98619\n59233 90068\n7005 28353\n409 67604\n8276 55903\n8452 65752\n43135 46495\n20838 66450\n9532 66898\n12362 51941\n7522 21678\n37356 61123\n25502 56464\n7251 92953\n75460 93670\n1994 51478\n54997 55603\n64658 72277\n31403 56408\n18079 71530\n10371 53370\n7185 74154\n69379 99780\n18666 46221\n41525 49189\n11406 64602\n10193 87303\n78533 90025\n49068 98238\n17354 36314\n14658 83744\n66490 88786\n75066 84660\n29006 40777\n17811 99787\n34288 69642\n27196 72808\n42560 65773\n21208 74646\n3777 25281\n65959 69938\n3651 23890\n89458 91160\n12275 15908\n60861 71592\n35551 44006\n80405 85004\n22005 61576\n75826 86809\n49314 79340\n52660 55228\n4724 25603\n55137 69289\n27200 34091\n5317 92794\n51065 56511\n54018 71109\n1431 7752\n12989 58071\n11565 86199\n84852 86193\n16199 50155\n45554 50039\n68741 71726\n49659 62650\n64564 82711\n8198 40960\n59309 71507\n29811 50802\n4469 37629\n40472 46458\n37522 61806\n26941 28691\n21943 73725\n53077 64157\n66803 80347\n98312 99106\n18824 90619\n16338 39187\n49086 81439\n16008 38758\n16884 66089\n30956 62948\n4087 80068\n20789 90264\n36868 95827\n20210 33460\n23113 72812\n45342 98498\n45716 71606\n61792 92937\n36232 57081\n13000 63730\n4553 70990\n6291 32324\n2025 91270\n41590 45939\n18808 83486\n62859 72947\n41244 78521\n8175 59646\n4363 24765\n43529 90233\n75800 95612\n55652 59549\n26498 37482\n58665 74664\n62690 93828\n12549 70003\n361 57348\n21692 58911\n55073 63488\n24325 27523\n18813 29936\n4132 33867\n9346 37651\n20646 45829\n8823 88248\n17821 34479\n3615 54961\n15673 34687\n48824 68053\n41420 91123\n26479 48695\n60567 77623\n16487 59378\n25749 89878\n37664 52857\n11442 72423\n54653 97514\n6854 84077\n58475 69787\n46834 80912\n51732 81293\n13018 81292\n34614 41194\n19613 93113\n3725 54215\n77235 86305\n50463 59365\n57845 61837\n17210 22436\n68403 76446\n25356 31244\n22393 55169\n57925 96777\n2611 87534\n50964 81412\n22377 67295\n35708 42483\n13535 79972\n22863 35247\n52356 81469\n7603 19416\n85737 94528\n57230 65064\n29959 63908\n17573 95816\n51072 96190\n23234 51401\n11636 29962\n79229 97922\n22544 95272\n76195 83452\n12196 56715\n8841 51667\n45231 63892\n47253 80930\n7724 52469\n54369 61422\n31407 60474\n44199 99099\n25412 38215\n69042 95882\n3082 69308\n6167 14287\n44102 96102\n39157 44007\n84217 85719\n29690 49504\n40056 60932\n7383 12646\n19094 80210\n24356 73267\n15144 31452\n4095 8617\n72338 94450\n27441 88384\n5562 54845\n62942 89712\n29743 44841\n29174 60741\n17775 27593\n2935 33965\n17016 98745\n40588 86147\n71350 77808\n65319 66097\n12323 80035\n40612 71480\n9269 61581\n32618 58335\n22792 47147\n65945 83481\n79560 91649\n8412 39911\n16134 69054\n3856 49899\n16053 66572\n1827 47837\n51160 76518\n30614 85920\n14111 48198\n26839 45523\n46044 75404\n6679 29149\n65855 72230\n36850 85604\n62055 82214\n30014 49677\n8211 57682\n13895 67506\n19985 72536\n19910 23652\n20319 26213\n10448 92306\n16733 66171\n7717 39089\n28448 59352\n52639 93655\n52047 68647\n67056 94994\n66587 82913\n32344 60643\n66225 91089\n30519 32131\n42861 54806\n11200 33387\n45475 94990\n26411 51658\n5859 97775\n51148 96349\n15344 77946\n13243 76270\n20816 61291\n2200 79921\n70443 80683\n40486 96888\n5788 76347\n1408 78375\n35238 60554\n30641 90352\n39250 73572\n68649 74613\n68768 79688\n48254 80022\n27900 57890\n55541 94796\n23393 33795\n15804 58314\n7274 69838\n40955 90677\n59791 61067\n33351 43663\n24840 55125\n9396 42175\n71110 76504\n23967 48148\n36940 38212\n75227 78151\n52059 87630\n37724 75634\n7770 39912\n43988 65143\n6947 8114\n47555 61101\n4568 13144\n40406 63947\n48441 92172\n20054 61266\n21613 52084\n45748 54371\n18803 46830\n33120 39425\n30821 94529\n47005 82114\n7440 39585\n72345 73093\n43184 58627\n7876 55574\n24424 83576\n17918 54247\n6861 9711\n64768 83491\n55354 78684\n46034 58877\n4066 55112\n76853 82342\n68211 97541\n20183 88336\n22394 77368\n81503 86762\n10057 79936\n76666 91796\n85213 88772\n1314 66613\n11299 33302\n71414 75418\n40355 61199\n13788 23994\n4278 92304\n27378 58399\n47416 78325\n9637 30984\n21811 62729\n95021 97444\n41571 48948\n12126 85611\n25801 61700\n82023 87622\n69962 77700\n20604 62950\n46920 75286\n37922 66579\n52665 72327\n81325 91810\n13336 22724\n80298 94837\n18352 62897\n34125 47454\n21885 93640\n55754 76356\n38676 87935\n47846 99268\n36090 46536\n44365 81753\n19444 20567\n13429 96781\n42841 56886\n29799 91232\n10405 21945\n487 94789\n19496 88122\n60117 72425\n26407 58565\n21096 35014\n17987 85366\n55499 85515\n17172 68665\n4892 57739\n11452 24875\n29034 95928\n35364 62229\n33967 58053\n21052 38433\n95587 98969\n271 69054\n71662 94764\n30793 45597\n39891 45984\n13533 31498\n8929 37047\n13926 51156\n1266 85135\n52228 97570\n64809 82295\n18017 24105\n53966 90191\n20246 83932\n10835 39139\n9437 52745\n21535 80179\n40957 47906\n29193 39456\n5916 73106\n1851 41927\n1163 7420\n8931 88950\n26031 35996\n22436 44633\n88265 99437\n57737 81477\n3657 46819\n60178 66900\n49293 50547\n6715 39966\n63355 80175\n1018 35364\n19912 51529\n16749 21712\n64137 67577\n80894 96679\n27018 48580\n13787 26339\n50669 57370\n70077 82757\n8462 75429\n9006 41333\n2462 25259\n13802 80968\n49285 77879\n32776 71594\n31576 67040\n14979 43755\n30218 71347\n48657 73314\n63637 86108\n41750 44239\n6313 19632\n8908 24392\n7017 81235\n17056 34777\n12525 68825\n12035 30734\n5490 22131\n13674 41956\n7363 26122\n27465 63421\n77738 94077\n793 75772\n43856 66827\n2821 60023\n7357 79365\n18772 54307\n23121 83793\n67736 78056\n64412 77069\n13905 24788\n8549 57382\n40969 81282\n10892 59747\n68355 69695\n52753 85123\n9557 90733\n10932 21208\n29892 76431\n73624 83505\n27055 86047\n5721 91686\n1078 50007\n3717 96231\n59542 75277\n28617 98679\n42964 78002\n47586 88486\n66949 99096\n8579 47693\n15178 66314\n10046 85610\n58520 81058\n42479 74449\n81027 86508\n3729 28461\n27897 72736\n13260 16279\n16880 84466\n12890 66335\n59470 99971\n21349 39182\n69523 80153\n18937 31334\n31426 95115\n7152 34240\n8221 72797\n26083 82814\n984 32137\n55112 84528\n3023 99226\n34540 38888\n5159 28763\n7930 11025\n3466 14400\n15481 74274\n34892 59823\n41622 85729\n2755 55489\n3336 93718\n17656 44996\n38929 86822\n13222 53254\n79170 81097\n31061 71073\n10687 83136\n55479 77640\n30238 70492\n13082 16298\n56286 78901\n14232 46983\n58175 64696\n30862 49805\n2924 46427\n45968 75492\n44160 92404\n66915 79984\n12928 28544\n27589 32152\n75133 95791\n12237 75201\n7227 54857\n41049 49408\n25097 33887\n48144 60797\n15307 47509\n30503 70704\n30556 43368\n11789 67774\n38372 51762\n41390 69122\n41475 60986\n32426 91465\n12580 51736\n69614 75126\n20262 24854\n50958 68988\n32739 83154\n58397 77533\n3941 99062\n25746 51712\n6968 70159\n63688 98768\n5291 99503\n28258 52443\n61325 79025\n21539 64957\n33430 79260\n66075 74801\n17417 50640\n36688 70224\n56636 82154\n958 6209\n31090 68800\n4696 79541\n88316 91611\n3962 73600\n72212 74351\n7306 92724\n59907 94715\n7223 43056\n65118 73905\n32510 88821\n32730 49569\n52129 88112\n19991 97342\n90485 92419\n29252 47476\n4475 38150\n37488 40606\n6870 57608\n53353 80008\n5441 15359\n32918 65142\n3991 88033\n36527 89281\n57569 79132\n26389 37308\n3884 11583\n13876 99091\n5507 51095\n61399 94843\n25460 62993\n34657 68835\n46402 97952\n21747 72232\n95176 98672\n3383 25571\n6499 13255\n35120 83749\n23606 94125\n1140 73581\n41890 57433\n10116 57205\n43842 75612\n18354 38934\n6268 28819\n14134 45153\n38650 84325\n65271 79888\n41791 86694\n19116 84743\n43992 48412\n23457 64170\n73231 90152\n46074 48859\n6930 20546\n59724 79737\n48206 48453\n54492 62814\n9751 50096\n81298 90208\n382 28907\n49122 67681\n40080 73241\n496 19312\n55666 72564\n10063 72789\n10321 39688\n63131 84589\n3940 60332\n52294 85424\n19078 81203\n8464 93065\n26553 58868\n53351 62646\n8980 23687\n28634 60864\n81939 99575\n21198 48723\n28730 58504\n40717 74297\n57589 74714\n27255 64123\n55838 70857\n89229 93155\n554 9018\n26962 90987\n52512 63934\n74568 99867\n58081 81842\n18966 91100\n9652 66407\n4072 28912\n46366 47311\n58526 90595\n11378 74339\n84009 90851\n35011 65838\n41168 66367\n32647 97933\n93639 95481\n1869 85556\n20190 26948\n6604 74108\n781 46575\n97791 98503\n44735 66815\n61720 89874\n75423 98135\n76083 96633\n27503 74718\n16363 18290\n7768 97703\n22860 95594\n10621 38943\n33181 81756\n594 83953\n39741 68038\n61068 80343\n54117 84016\n6686 78121\n36169 67025\n62316 93558\n17667 23023\n43085 71846\n63826 89302\n34099 69871\n59037 66904\n18577 62930\n3362 36187\n16297 32543\n77697 88952\n93483 99746\n110 1624\n13931 77141\n24896 25985\n577 7364\n9712 37051\n27872 50796\n43709 97651\n37695 57280\n32582 55863\n19066 96579\n68474 83121\n13320 94352\n5720 55646\n72807 90301\n5549 60545\n33740 52317\n12506 98595\n44979 71433\n12756 63278\n43184 93618\n92551 98056\n25661 85950\n22167 69112\n48691 62401\n21985 42849\n23620 60046\n61025 84711\n45531 55692\n69181 78809\n21095 76027\n2811 55649\n57540 91518\n42534 49623\n8268 43517\n85982 90148\n17484 94537\n4561 7983\n57464 93650\n10899 18912\n19341 76766\n61639 88065\n18413 73056\n73905 93061\n62986 69510\n64128 78682\n22371 63948\n30341 57096\n34635 70598\n13522 78153\n49199 83176\n55335 96883\n54735 94391\n48347 61270\n43301 64325\n37143 81765\n69407 80302\n29171 78831\n43263 86782\n16276 45476\n82697 94860\n4743 53118\n44407 88387\n5106 82020\n12959 33318\n7217 87822\n40645 82727\n7523 39184\n21686 69008\n14349 65626\n4407 39664\n7917 13965\n15199 81315\n3779 83720\n7493 53079\n18282 78188\n55595 59095\n20237 49630\n23614 59091\n44510 60146\n83212 87633\n66598 98995\n41653 84978\n49426 94393\n1812 50362\n27398 86898\n29300 41373\n33902 76622\n41311 64530\n18748 32268\n7602 27394\n37619 44738\n40063 55166\n9695 22753\n35691 91333\n39708 44987\n42904 76720\n6668 87096\n5776 58371\n54024 58063\n71486 83052\n37890 81575\n28191 30330\n24764 89815\n72007 88865\n42709 77478\n45018 46472\n8623 34461\n80109 96426\n27604 98821\n17075 65351\n2965 24304\n5200 84322\n12687 54075\n80275 85041\n77442 80721\n8806 42387\n54496 82837\n75219 76654\n11789 87834\n85528 96167\n73033 87654\n66054 78217\n79750 94619\n32479 39498\n35026 95928\n32602 44759\n18077 26889\n62796 92034\n4796 53258\n22379 59434\n31361 58590\n24046 30563\n6177 41012\n25923 90097\n78429 97497\n9825 41273\n56959 95710\n6049 15713\n18424 40051\n4866 53585\n37179 86388\n10614 33517\n40946 44015\n3488 74021\n5636 33590\n69588 88351\n54186 85830\n49314 88109\n14719 37969\n57929 74819\n25054 46392\n36642 99384\n18909 92162\n71999 76689\n34811 48232\n14243 65750\n275 16966\n20406 43408\n14651 77042\n23433 90143\n7659 69570\n40170 65712\n18943 99306\n63897 70490\n9816 30203\n32443 48812\n27663 94962\n13799 24592\n70840 89165\n2408 33113\n32937 96389\n23461 75359\n74945 94555\n9755 76270\n315 67245\n2256 42585\n25916 78764\n34353 72160\n16756 69073\n17565 58923\n3142 35407\n58458 84397\n35333 48347\n62347 66274\n63580 69724\n46189 99022\n29149 59630\n15901 45710\n29691 86986\n59935 89249\n58508 84740\n20293 33437\n9155 70614\n3095 32971\n36200 83677\n33959 98531\n22736 35583\n2054 4620\n48719 50501\n60664 77852\n36909 42524\n31750 99475\n78434 81664\n91664 99532\n71548 91567\n9377 95368\n40052 68963\n1431 33453\n11089 87922\n32720 47295\n11343 74171\n57257 63188\n6243 85712\n57322 79159\n16752 85503\n78767 81731\n5126 25747\n78322 93925\n30044 93851\n31050 40384\n19509 53182\n73911 91060\n36437 96237\n4890 25553\n68557 82289\n17046 26738\n29015 66443\n28614 45826\n77097 81430\n19490 74567\n57194 64248\n56129 94675\n73883 81383\n27113 65970\n27762 33116\n6610 82568\n14848 67812\n35974 59567\n14079 40974\n28167 77911\n25961 45444\n13987 96435\n13240 87758\n18850 52371\n24414 43845\n35605 56209\n19534 92977\n20587 48228\n23967 86393\n44865 52628\n25607 88900\n34569 38880\n41306 66761\n46320 69619\n33193 61930\n22614 44445\n9938 62362\n13060 24005\n49198 99316\n22813 38059\n43746 79346\n44163 88838\n77973 97036\n26982 95126\n5014 75621\n12102 20396\n33159 37030\n38293 87382\n4629 69122\n17224 95039\n80098 94111\n43720 99296\n15126 25244\n38934 65456\n25492 76592\n62012 94221\n70465 72599\n14473 64296\n52701 69547\n61587 70065\n50523 80086\n91272 94784\n2230 5219\n51491 96661\n10117 67957\n74517 78698\n33716 75296\n17669 77145\n85860 89549\n5744 88313\n24143 67825\n30376 87606\n39209 78094\n27225 61008\n1280 12000\n27108 37951\n3883 13471\n70672 80727\n5224 28694\n22506 37596\n16272 80168\n39605 76883\n52031 88888\n35586 99192\n17724 42312\n40365 47371\n61753 88295\n83180 92151\n26417 40465\n252 30741\n56586 86985\n47281 77358\n17025 19917\n21458 39568\n35099 51373\n5338 87826\n16258 93705\n29299 87854\n19810 38975\n3983 62126\n15513 47343\n7112 69456\n35680 67688\n24373 62473\n15352 89678\n57131 75459\n4034 28630\n63709 85589\n31929 71489\n58608 84291\n16925 52837\n12126 82840\n5660 16690\n36960 55632\n26678 37767\n29299 59036\n44987 65926\n57266 84278\n16631 54728\n49736 63182\n67651 88403\n27264 99192\n36934 86963\n35406 94568\n14728 32860\n21094 38347\n11816 63650\n24530 36803\n37598 82380\n47818 56303\n31491 42294\n11557 55966\n18255 47510\n6721 49034\n27926 75220\n44866 78844\n42134 90037\n32732 43064\n49399 63095\n15944 44000\n19631 42188\n16507 65755\n40122 96026\n64598 83870\n80572 98850\n17493 52990\n4230 73403\n28136 94299\n3796 51342\n52259 72674\n259 34386\n8051 65668\n54170 54875\n63126 85650\n31258 81108\n53161 62316\n49938 63175\n81005 84814\n33130 85189\n18646 89718\n77707 88816\n21187 26607\n23559 38436\n41482 60586\n21823 67193\n19975 77081\n64709 79289\n35005 64458\n79715 85456\n54815 68006\n5811 99192\n96087 97590\n9670 31291\n39851 48730\n58200 65817\n67913 71883\n31736 65558\n55218 96844\n13924 47471\n59057 83722\n12445 28519\n206 22428\n67973 72613\n68612 93976\n71914 72446\n10783 16109\n18907 66543\n43262 76674\n5359 7655\n4273 93249\n3798 94892\n13237 80966\n23563 61390\n1302 30832\n56007 76030\n39319 99880\n11311 83444\n19241 94946\n47297 72910\n50013 63355\n35920 94116\n67672 82600\n4170 68314\n83141 97464\n53336 70231\n29427 83597\n66705 95037\n19934 45543\n30797 78274\n16735 29981\n517 64904\n3614 78031\n7839 91265\n31599 90563\n10772 87136\n67194 72019\n21639 62847\n7107 63518\n39573 91635\n7769 8057\n42304 61608\n27038 68752\n91313 98177\n48871 81231\n8666 72850\n42136 76010\n6322 90018\n10738 25331\n13098 26173\n1729 6426\n2347 71289\n18144 51145\n4545 67322\n87402 93283\n71683 92237\n37511 86611\n56422 84067\n60087 90812\n38986 82403\n2695 93635\n74015 81088\n23958 38893\n17279 61299\n12292 78488\n10035 88538\n33589 77911\n56279 95970\n26272 43636\n66245 67837\n38670 75182\n61723 63375\n33520 48622\n65773 74977\n1696 72632\n2264 2489\n12277 43448\n25563 80690\n36581 49993\n49977 67722\n65432 95433\n46856 88356\n56287 83174\n58792 69933\n30499 65582\n12287 69707\n14557 67039\n15674 74139\n5633 84415\n9461 56907\n468 52589\n34413 83331\n37990 47303\n72031 89242\n31513 75560\n8670 15213\n60931 62257\n21315 50220\n78098 95807\n7699 97144\n54190 84672\n16510 66850\n79170 88545\n9092 70764\n17009 87711\n22346 62849\n94664 97359\n8254 78084\n26272 41372\n14698 53861\n4394 91286\n15701 37283\n32572 54825\n13953 32220\n24812 51317\n26228 27393\n27661 97378\n19812 21864\n70163 89102\n29438 63683\n42990 63114\n10533 58747\n70336 74580\n38093 46785\n38998 48392\n20119 53007\n12738 99127\n21319 29512\n13128 33451\n44217 97250\n30448 80205\n15163 49808\n4501 97792\n58739 87078\n31988 44715\n15272 73298\n13772 21668\n28773 45979\n42843 43250\n13707 71364\n46847 65379\n76153 82545\n67916 82967\n19704 20392\n2758 23706\n23811 57238\n60968 96782\n11777 86693\n35756 52414\n38241 47457\n39412 82866\n6997 13800\n26517 34081\n61703 63250\n6256 24872\n22881 68810\n69638 95825\n43794 89978\n1227 20767\n19726 71632\n60069 90195\n1287 81869\n38900 54296\n6721 94066\n15991 67818\n17695 92362\n52323 53410\n88615 88825\n46219 89559\n20924 77859\n536 40478\n62461 82457\n48854 57429\n19312 44964\n69573 70357\n17275 32121\n29913 84910\n45104 76246\n32843 47823\n11608 28183\n7912 92933\n33757 82856\n70888 88818\n3341 89108\n4507 25172\n46707 64691\n22244 94566\n26943 77059\n40279 47418\n76230 80197\n8236 96850\n40718 49600\n51026 90567\n39864 95706\n16770 80973\n30136 83591\n14312 69587\n10167 45683\n25047 58596\n12783 43676\n2938 20343\n59449 80842\n22037 87379\n32131 47715\n15073 22111\n17705 38047\n14675 52701\n6636 96273\n64442 94292\n66704 98808\n29499 31193\n32470 82288\n37485 37956\n45184 74102\n54540 75959\n12562 51790\n14105 52522\n41099 44198\n7541 80333\n2505 34781\n28426 82783\n20703 70903\n8095 95826\n36682 63587\n15098 20386\n9772 23582\n74819 85822\n28379 59998\n1372 95321\n23091 35453\n35633 65186\n41335 78631\n63790 99667\n38709 47518\n12132 56439\n27547 84636\n66670 89965\n3852 8298\n18687 42659\n8326 36647\n15531 45892\n16369 84467\n26362 34891\n68594 96811\n90951 92183\n40505 85793\n22253 60848\n44724 82468\n15563 64497\n81023 89678\n43058 60913\n4992 12107\n50504 88007\n57625 72579\n52923 71651\n8126 86890\n5108 51294\n14578 40199\n66907 80760\n20049 95039\n78069 84536\n10722 93012\n6359 94443\n54673 60321\n13278 18888\n2922 51738\n2645 46961\n2144 65691\n85869 91722\n49279 62966\n24939 30987\n9904 50777\n19760 57427\n10940 53607\n59194 86926\n73547 93609\n10135 77553\n45723 73399\n19156 73599\n49033 86817\n28938 90838\n34496 84962\n11899 18627\n73839 82004\n54980 62542\n31123 51615\n61942 84325\n29254 76623\n62816 90864\n35437 85586\n12162 59834\n36766 61021\n3532 27002\n33730 58550\n27453 62530\n48721 76044\n7656 64915\n12291 25983\n24377 28993\n5444 83043\n1034 38927\n24873 47427\n19716 76974\n80302 96326\n23954 92617\n17282 95055\n10077 31350\n11197 11331\n59954 94059\n31840 51393\n23002 25228\n9818 84522\n31437 82683\n17954 43479\n80262 84190\n5556 74220\n32873 65323\n20109 95234\n53627 92054\n1545 69355\n23846 49528\n84718 85773\n51567 57790\n40579 41055\n27796 62386\n34627 37976\n38844 54775\n1920 26711\n22758 47100\n12016 17022\n6320 41543\n47689 91579\n27395 78015\n11204 95815\n11044 18419\n58507 75137\n531 63922\n23176 51654\n54688 99985\n19878 93090\n31013 72527\n5485 62598\n2480 6202\n55089 86908\n12187 43257\n53671 69887\n46554 53332\n67396 78510\n1075 5444\n42544 71158\n71158 83066\n11517 85641\n2032 44689\n45548 58833\n52470 52946\n4824 21870\n59743 62627\n55603 72378\n64954 66786\n17032 82475\n49881 94668\n42004 52040\n18347 91197\n44861 72847\n39535 67569\n5259 9127\n63661 82064\n65659 91027\n18478 65161\n53143 64725\n26774 30392\n50883 78080\n55418 71468\n41914 77896\n60165 87675\n3500 75757\n56861 73782\n39331 41181\n12243 53398\n53981 64031\n4436 71412\n30481 45332\n10923 28985\n16351 62228\n53534 86995\n11870 81358\n74379 82459\n9917 66285\n28449 90058\n34722 87243\n15861 88510\n25476 32018\n48714 98473\n677 49026\n95554 98584\n33114 49069\n33449 65809\n662 54458\n23908 85883\n23315 36014\n23667 62087\n19111 92342\n70206 87499\n20653 77553\n40873 41156\n69335 93454\n36984 87223\n35743 42047\n15413 80504\n5040 26368\n70492 82068\n8255 92372\n43920 89580\n88940 99458\n27610 70338\n65637 83220\n27641 90238\n51319 57638\n11739 69586\n25629 82056\n71511 75914\n9769 26645\n12754 46935\n33528 77559\n29961 74877\n69017 85372\n10680 95232\n23932 29792\n36282 51152\n70120 72663\n65589 85485\n1403 81602\n22314 76399\n17870 42049\n22631 22911\n6070 49688\n46782 89897\n42941 71560\n74835 75712\n33344 86969\n4390 57844\n58013 90888\n23085 89612\n38829 66601\n11080 39187\n61124 93977\n29383 79531\n11077 53677\n58685 81856\n62113 74658\n1610 4932\n9325 41470\n44969 72712\n63565 78817\n40327 95489\n56397 99654\n19560 27999\n467 86596\n56178 63327\n16296 27631\n34083 68432\n37380 38950\n33157 41076\n21331 90041\n16875 61037\n51790 85899\n66422 95584\n82753 84953\n45375 63910\n48871 59162\n59918 68897\n53200 67428\n38201 99651\n79248 83996\n34384 61162\n45958 72741\n34041 88155\n31342 76246\n7667 57895\n38011 66343\n48931 83718\n28681 62516\n52428 88514\n37476 54064\n12136 83768\n30012 57211\n27854 80985\n20591 64934\n48107 68318\n14379 61784\n57543 81160\n88577 90070\n82928 95705\n8242 36002\n50778 94927\n73439 77164\n56314 73641\n23911 99158\n34909 92816\n21505 59228\n31172 54975\n20808 94291\n46841 97607\n33534 81488\n54462 97402\n20370 45758\n20305 26693\n11451 84802\n21949 22713\n20661 81878\n2528 27977\n15357 83419\n71952 78970\n24756 59906\n63724 91521\n9302 32569\n29991 32059\n12435 50018\n45836 51749\n37616 68764\n26070 57334\n25357 92449\n14003 28509\n70279 72856\n15566 18990\n25847 35072\n23118 90750\n16251 18980\n29044 88090\n3089 83297\n10579 43125\n30074 59995\n33589 74127\n36917 44504\n4478 64536\n37207 88071\n53202 86835\n14391 85900\n30682 46722\n24145 91124\n26634 74974\n40165 88444\n43914 77634\n75217 77653\n54593 73086\n35239 99877\n25970 32691\n31281 71175\n25065 95147\n2194 60976\n49912 91234\n13217 30392\n16241 72671\n23878 43003\n10149 34881\n34521 53108\n13562 77873\n6519 18973\n40180 93049\n55992 63187\n24071 35316\n47733 94708\n74164 94947\n32515 49667\n6169 45478\n56857 99479\n63351 88579\n39563 91177\n53102 80181\n46125 76743\n15681 23291\n1208 46692\n4796 32721\n90073 91001\n27972 64678\n2336 16221\n15184 74319\n15810 59472\n45276 86323\n29981 70386\n38624 66250\n29076 34904\n30810 61911\n45858 82778\n63241 87422\n37292 61865\n11569 58651\n4308 86262\n9405 58222\n41429 99671\n16465 43694\n21661 29257\n45644 79950\n72264 92732\n7053 51425\n28528 53106\n61674 88078\n19450 66972\n11185 17745\n27903 62506\n1679 33853\n10411 45052\n29682 51687\n11036 66111\n11172 44769\n68098 82402\n80607 97248\n12542 78913\n37393 73923\n16944 39718\n14602 81301\n8516 60840\n25282 44800\n40262 59204\n33484 88321\n30450 84262\n97117 98014\n17974 24890\n89503 95366\n64111 72851\n8223 32737\n42252 93218\n47285 75397\n242 17853\n27346 90345\n20992 91518\n11428 93879\n23132 33749\n20050 24090\n29419 76064\n27675 34273\n31440 36931\n30804 85623\n72408 86775\n7382 19543\n4517 80160\n49903 72715\n5931 70997\n67287 76319\n38481 42635\n37600 56627\n67982 79609\n33790 56921\n49952 69083\n58643 72076\n11998 75440\n23908 52973\n65021 96378\n24293 41567\n1587 90474\n31763 39537\n33961 41290\n80333 81459\n26954 64339\n77959 90012\n31570 73287\n17410 47688\n53051 67890\n6081 62318\n27278 65023\n33722 49318\n18911 79311\n77980 89804\n46662 63345\n78860 88087\n37818 51545\n46919 88261\n66582 71631\n67948 92624\n58026 65951\n88858 94898\n12733 83968\n34337 99752\n29181 78485\n26743 30340\n50011 66025\n72777 83672\n5349 92851\n77888 78523\n40483 94101\n11586 82218\n77380 94552\n10685 31671\n66545 66822\n2881 36606\n8665 80428\n23440 61524\n8443 19459\n14749 44879\n3049 74995\n44933 56514\n4408 32132\n1796 87611\n48414 63902\n62610 90270\n43980 54645\n1421 10237\n9791 80960\n30356 41111\n58121 77281\n47546 57493\n67242 81487\n53038 57575\n32357 70238\n35672 89054\n11970 67471\n39903 47631\n30896 41867\n19160 44619\n66224 68272\n17557 21215\n31047 49753\n16348 90885\n69478 78761\n39344 77499\n34715 76192\n5434 21091\n41712 91004\n22470 26571\n19282 88379\n4547 40364\n67222 88227\n12429 79110\n69412 80345\n30693 97654\n11681 72198\n58370 87209\n8796 59164\n42795 79932\n74895 74984\n48778 81128\n48494 58795\n28019 98306\n45178 61435\n54311 87961\n46257 66856\n33694 53059\n32094 42907\n5278 43296\n58603 62337\n15849 79218\n22093 47058\n50306 53682\n23731 65761\n8625 62216\n7368 51031\n19551 33906\n15935 94311\n9014 15893\n13704 97650\n38286 87151\n25370 73883\n55381 88427\n63008 75059\n14826 58288\n70710 86524\n25099 44749\n8456 42872\n50416 55242\n11206 47943\n10616 84116\n41462 53771\n18569 21709\n11756 39709\n1020 93252\n16840 69443\n66415 85732\n60650 64668\n536 97204\n86009 97574\n5528 45854\n38558 67887\n18734 59885\n4658 22470\n57185 84771\n14825 63375\n12073 47546\n50317 75742\n33630 40675\n91884 93123\n40621 82952\n46345 59083\n34323 41447\n31886 97442\n68711 81930\n61067 83548\n29443 90555\n83953 95460\n2732 91716\n3227 15591\n53015 69965\n18102 71819\n38615 45341\n34841 95968\n57274 62680\n95733 95838\n26235 93762\n80508 91640\n27225 81259\n61750 70412\n21337 69950\n12914 53289\n39089 55661\n13210 51281\n36713 61219\n87661 88879\n34661 45344\n87611 88563\n44192 47922\n49581 91823\n4792 97890\n8865 23519\n17593 36143\n7873 68020\n38874 59080\n77716 90035\n46750 53013\n16730 76537\n45362 75537\n13566 80482\n12106 72852\n22767 89211\n2401 63654\n7777 32648\n174 90401\n94644 98892\n21511 33868\n23647 59027\n37814 74788\n1904 34808\n66627 85390\n37200 98724\n9507 81436\n16647 85834\n36644 64935\n10192 46676\n43978 94803\n72618 86199\n13161 18739\n9894 38734\n10005 73791\n41745 89534\n37149 97713\n23327 97459\n87606 92989\n80455 97195\n12171 26251\n73651 88166\n5047 37877\n95460 99482\n57709 80027\n11903 42761\n3574 45626\n56464 98265\n8058 20333\n16383 83916\n1879 24753\n53962 83691\n8106 44500\n51301 77941\n57393 71224\n50519 63783\n54973 91482\n29390 55125\n10011 28706\n16946 90752\n79663 83848\n23002 30723\n75357 76193\n25309 32925\n33526 48668\n18581 51048\n33275 34635\n9244 62554\n7535 60084\n25523 65011\n46024 70779\n57237 58280\n50926 55329\n44856 98115\n12834 56530\n44389 77404\n79026 91365\n29349 87082\n12774 20349\n5455 26500\n21761 92626\n31623 58309\n30890 54489\n19674 69339\n16893 43836\n20355 63882\n9119 86608\n19258 92764\n17280 36550\n41148 58716\n19495 73530\n78691 79471\n35548 49238\n25308 54967\n27972 55165\n14465 38770\n54144 65705\n7406 80558\n43385 53901\n40959 57033\n11940 62830\n20279 42322\n41312 74661\n337 40176\n10109 73119\n11034 77232\n42228 83289\n80644 96444\n74641 87762\n5307 48571\n66269 72859\n20604 67108\n2391 37843\n9972 39805\n25259 42444\n22466 82812\n19060 84559\n42980 56067\n1804 18281\n2608 55377\n24348 43051\n55023 58282\n2031 91029\n60580 78004\n28146 66752\n2824 87068\n611 93223\n21405 46543\n26577 70182\n48294 66235\n5608 26870\n67805 98141\n53353 61932\n29523 55282\n47152 97534\n31500 37101\n36985 94407\n26336 36797\n29390 92257\n55195 92647\n62887 75929\n7807 38810\n23694 90963\n6406 96726\n21726 35633\n19685 90818\n874 85767\n45971 88120\n18148 18829\n44857 57085\n64229 72936\n33978 51917\n29960 61794\n24486 27790\n45017 75824\n18040 62447\n44049 47869\n3410 80292\n4035 11123\n13819 49150\n18750 48464\n42606 85066\n41875 45026\n59929 62008\n25141 63498\n74727 83782\n11034 56958\n46592 98113\n8412 44791\n7447 59974\n27155 94877\n40054 65309\n10487 37699\n5060 89698\n82503 86126\n54367 65221\n8834 74211\n30172 71259\n59663 91357\n6202 85033\n17877 69989\n14772 75455\n5382 44070\n22559 91262\n2264 75509\n18148 20602\n86622 93141\n9302 76047\n12770 69446\n44023 47575\n93994 96782\n16236 34869\n2696 48909\n22723 49856\n33519 41546\n13841 53113\n14684 71643\n36958 46690\n42570 92728\n12919 40575\n52691 72210\n22151 26376\n57968 87184\n21149 37423\n4218 46488\n69054 96624\n33577 36249\n5972 69364\n41647 76606\n33814 60264\n34412 41198\n64151 95614\n19980 99607\n3443 86760\n13773 83123\n50528 87694\n36042 47952\n23583 25566\n12621 27636\n12556 21902\n32016 99912\n13052 97206\n50959 96800\n42257 74932\n82168 97254\n16667 88279\n10710 78353\n87228 99723\n13977 70086\n37702 41697\n67616 93136\n4780 48582\n35854 94205\n37881 78908\n3064 24784\n80652 90393\n22731 60234\n22688 66456\n47180 60635\n23043 79496\n69319 73591\n6532 20986\n52595 56383\n7879 21677\n42289 87049\n6048 46098\n13067 72718\n11741 74108\n49054 69667\n36091 97664\n48794 52540\n22458 56817\n62360 65090\n56150 75182\n46701 55745\n24749 75939\n48870 77141\n315 8843\n2257 69848\n10744 48096\n18549 89438\n2319 53819\n54067 68282\n47644 70651\n71535 78785\n38531 63674\n61865 84840\n21166 53430\n83247 94720\n42145 99774\n46824 77701\n51342 68937\n27247 38951\n65172 96787\n12816 36001\n32103 89103\n61802 90550\n49462 62422\n57023 95113\n20229 64882\n10022 74848\n37868 69952\n4769 71080\n47736 68186\n60480 75100\n49482 68708\n25333 27198\n48454 74336\n74288 96186\n57174 85249\n27921 28816\n239 64992\n58745 83449\n29004 60223\n22591 90775\n4950 33944\n15966 67281\n11155 35582\n54559 88498\n6488 66088\n678 31518\n6299 8162\n3101 53027\n59287 81069\n13996 91572\n17995 48456\n26772 59494\n88970 94193\n30811 55836\n7302 42170\n82658 99113\n64130 70283\n67978 96513\n69559 88724\n84206 90358\n45088 60452\n47182 73090\n59984 81733\n4793 37951\n14445 91090\n39897 42229\n38602 95100\n40969 53419\n6012 14957\n24712 76223\n7649 66284\n49216 60814\n59027 69944\n1040 38507\n69941 79458\n19950 62390\n12819 19890\n13041 25220\n85467 98176\n46014 66297\n38454 45020\n36150 91432\n62142 92140\n30240 89901\n9843 73392\n44907 50328\n18710 96571\n58991 65133\n20315 57537\n3915 89405\n84886 88193\n13732 33215\n34507 92841\n19954 49089\n69572 88586\n26383 57509\n59713 88860\n66083 95847\n882 43695\n28689 42246\n14314 67759\n3004 46587\n76071 84080\n45191 54759\n55896 58360\n24829 27362\n21419 66603\n62474 80330\n17156 36279\n38268 90273\n25258 28769\n49626 79494\n18151 31236\n57992 72804\n46841 83011\n12483 19443\n11290 21967\n68147 95018\n55761 81632\n21445 37410\n50625 82820\n4978 86837\n20719 72156\n2204 89469\n78592 87249\n14416 26280\n11430 32571\n18296 58871\n31676 63695\n60424 76787\n18039 90729\n9129 77842\n36684 41329\n11603 48102\n62122 63201\n5131 8878\n78041 88111\n54621 58720\n13404 94679\n7750 15430\n35708 67029\n56816 79294\n70506 77180\n11980 22006\n53382 66050\n77350 99379\n33074 76418\n10310 67065\n20048 52833\n22847 90383\n38061 97526\n10834 76966\n38417 95113\n10966 95632\n54621 95811\n13411 92179\n18279 65247\n17897 61546\n29450 54367\n29584 88262\n23452 30526\n34328 46544\n54807 64968\n42606 94067\n1977 84764\n12564 47316\n15672 89821\n51129 76943\n24327 86615\n34123 76824\n27735 39038\n3654 58505\n40874 57981\n24466 71131\n8541 89401\n14966 21934\n40689 73311\n30987 36468\n9080 22557\n40315 89268\n2311 8783\n1822 92393\n76117 85572\n80673 83164\n15184 48653\n6849 94345\n2581 3917\n61503 65649\n24633 39282\n2428 56038\n27368 43528\n70733 82855\n11944 95740\n88466 96093\n26839 36160\n60181 80299\n17185 30000\n17187 84580\n158 1139\n1917 44673\n70932 91048\n21275 82445\n59957 81204\n30876 41948\n50582 95443\n52161 81992\n24459 29084\n7820 31418\n33005 46249\n39441 62868\n52073 55854\n16495 73052\n10661 53334\n15756 17642\n55784 71347\n28906 70668\n2239 19471\n31181 59038\n22254 94246\n26633 80894\n29864 79640\n6632 51337\n27317 33131\n59072 72662\n16914 54225\n1428 54743\n33726 63749\n20510 66952\n60632 70854\n2680 86114\n5636 6384\n12402 42275\n16356 87317\n58290 61045\n19174 77274\n44547 98415\n19049 45782\n4304 70321\n48481 60995\n14982 81592\n39457 89209\n15264 26668\n68073 82619\n45696 61687\n12209 16146\n19072 74576\n35720 77710\n79016 85450\n19797 37711\n47474 54990\n18059 63856\n77361 99037\n14360 30344\n4851 13545\n73067 74560\n76883 97375\n14811 97129\n17772 77891\n72822 96358\n17413 26800\n8614 30729\n33022 54707\n22731 51295\n9196 23381\n66269 92499\n2333 58283\n30603 61348\n11733 55229\n81767 88385\n5500 62232\n16335 71621\n20283 22443\n74150 78873\n5726 94837\n38418 69357\n14147 29342\n83652 95903\n11566 12641\n3928 89475\n16537 54127\n19579 43602\n36521 82020\n31038 31421\n5455 12251\n3587 40946\n13280 55347\n58306 75650\n70469 99226\n12672 12941\n36632 39972\n43475 53861\n51299 97759\n20479 65363\n30634 57287\n32926 99451\n51091 90817\n22054 46389\n58043 87492\n4891 66342\n25444 25689\n4811 89562\n14165 14286\n2761 16072\n47091 78086\n25048 26450\n32564 95293\n36589 95689\n35727 75803\n34964 35068\n30474 87113\n72133 98138\n17708 77189\n35897 96996\n90930 99474\n21071 37187\n51 7924\n26569 82796\n50328 87841\n31617 87655\n87221 99325\n71486 76526\n17744 63625\n5473 97074\n16102 53710\n88058 93843\n32259 49958\n51967 85784\n10398 15653\n3034 6900\n26414 76967\n2335 66266\n55340 99869\n15243 73895\n12685 76295\n3482 27028\n44718 93492\n30883 79648\n10184 41452\n22910 24968\n24516 65880\n68323 83295\n21938 78879\n58294 63077\n1514 20289\n17653 55715\n73908 79814\n51746 57154\n1848 51716\n71435 96025\n38949 81084\n2989 76787\n25051 83329\n69360 90576\n72512 73522\n29544 31195\n12188 58444\n34130 45733\n21951 79346\n52372 56388\n56888 94860\n19765 64616\n77800 82456\n8576 85400\n80242 92899\n10736 81700\n37364 69159\n49240 86054\n83406 88160\n61236 71645\n20646 75857\n16783 89926\n26685 92908\n29447 47335\n60852 73451\n72104 84880\n3879 48105\n22174 94194\n16157 22998\n22286 61456\n73615 98286\n28454 92703\n38462 66264\n32782 59116\n37316 46730\n36972 63057\n79543 86826\n74095 74368\n5067 10039\n31420 50660\n50782 57022\n45830 50920\n21271 99576\n35477 57682\n31680 68275\n40298 91528\n3316 72645\n10088 18842\n80361 84060\n34529 46927\n39859 86386\n42257 77314\n49693 66061\n24842 65315\n43661 46017\n16564 93931\n14857 17870\n24239 30029\n48871 95223\n12219 81388\n51130 67325\n26478 68816\n57940 79022\n9689 58786\n72369 81672\n15633 76193\n48195 84028\n75787 95360\n12369 33348\n31738 67564\n18656 49112\n41134 51888\n75480 86160\n883 44893\n80678 90361\n19701 66838\n14346 72965\n50042 92456\n21182 56683\n64794 83646\n16603 23153\n26117 62844\n1773 49059\n66818 76984\n28814 60132\n50561 55556\n36751 74782\n77775 97308\n51187 97941\n77004 99431\n6936 46988\n22831 92392\n16061 34033\n36409 52922\n32086 52451\n10956 40321\n14566 29265\n9465 87586\n22737 91082\n36819 39799\n10192 98724\n29760 35007\n29040 62703\n76515 96493\n24484 67706\n26942 46882\n2479 8836\n2991 40494\n17371 79462\n94845 99297\n13608 53207\n25285 79310\n32818 57421\n12491 21709\n5778 41170\n34651 38411\n6351 15982\n47377 92657\n78244 97797\n34432 63281\n62177 76772\n24158 47449\n25401 46992\n20639 65066\n1356 64922\n39560 86284\n61903 75852\n260 22533\n36362 54692\n2921 51331\n71242 94843\n21009 30040\n75561 94106\n13897 40497\n33957 58097\n3699 89605\n78362 78917\n9371 98678\n31762 56042\n79233 88122\n39663 53071\n7787 84173\n43394 87209\n46277 86137\n53355 58551\n14345 36608\n57085 92833\n57641 75983\n17466 32920\n15305 42541\n35080 97986\n42508 63162\n32962 65942\n6357 89959\n1108 31089\n42807 64160\n10433 49060\n39948 65885\n7415 31270\n18036 25827\n24874 70081\n22476 28825\n47200 87867\n14842 95121\n4961 74084\n9060 63760\n15359 71009\n56843 93026\n11781 53705\n48059 74677\n37394 74176\n1450 95669\n25865 71329\n76 16431\n60386 91078\n10006 58312\n46665 97255\n59690 89590\n36844 59651\n58246 84838\n7645 60812\n23811 91072\n35857 81656\n32267 90951\n22800 79557\n47587 51853\n23483 70991\n17715 82182\n6816 85070\n40721 93568\n16870 32051\n58972 74545\n92001 92064\n32738 92806\n8838 27559\n297 86746\n40435 73196\n31300 66053\n129 76933\n15753 78442\n14518 85353\n53213 73493\n2336 42809\n40752 69098\n26417 72455\n25667 32651\n20340 37097\n39709 54785\n1536 3199\n55314 97960\n49925 88350\n23339 63429\n50037 85605\n43960 98888\n20931 60096\n21032 30129\n18297 19824\n42300 86207\n50991 53657\n9497 23349\n25487 83625\n6684 38836\n15555 21840\n87015 93745\n6706 68957\n34460 43486\n58069 84002\n12761 24276\n56739 73936\n27901 49546\n1853 89337\n68962 90105\n49228 80203\n37044 39854\n65331 71242\n34312 59305\n29185 76439\n38703 90646\n33169 37630\n39155 62671\n78757 90510\n28991 95271\n47172 51944\n22629 82653\n34144 92534\n21504 28522\n697 60011\n23331 88603\n6960 85775\n53597 81421\n41359 44149\n41553 62999\n2316 66301\n45166 60925\n52731 81202\n5855 87839\n16843 29367\n43915 51439\n21412 80621\n12080 33603\n4156 24672\n36758 65988\n6522 99125\n12444 69061\n11288 91876\n66614 83378\n71227 74636\n21199 80255\n35287 95640\n7961 63801\n39384 92950\n49439 91428\n62929 74029\n41263 85965\n5282 7452\n20495 66978\n40463 92295\n64650 93382\n13519 92043\n43882 68683\n54658 57136\n75422 80259\n11364 33649\n7282 47879\n25096 30667\n16565 24368\n33386 84604\n69076 72583\n1832 97848\n48193 74638\n30790 95219\n9376 59994\n36253 74795\n3836 61150\n39393 71660\n13024 16446\n80889 98971\n14526 71866\n90725 99754\n74628 88910\n58681 86915\n81789 91902\n22083 95867\n46688 58574\n61750 89193\n1695 23873\n86536 89817\n22543 67406\n51239 91232\n30722 36547\n34159 74814\n42749 72582\n7776 79228\n50134 61502\n58695 99250\n74215 86949\n27914 83046\n25743 89932\n31820 70121\n23893 37180\n13848 57203\n6194 90688\n85948 99948\n37364 73481\n44772 77450\n6675 44656\n12174 73775\n58539 76943\n24222 72222\n66848 68605\n18027 57473\n48994 63741\n46729 48099\n6121 16624\n79148 87913\n35164 69426\n31346 95525\n62101 79433\n41999 47816\n14877 43591\n7426 25854\n77582 90956\n33232 91170\n3271 50359\n12571 61789\n21416 69486\n54303 87856\n35128 35616\n10692 58251\n247 35769\n6578 23597\n27801 53742\n47554 82370\n3576 36071\n3627 91832\n30521 73669\n53152 85792\n40438 62685\n80086 91578\n14968 53152\n62173 98583\n11170 39375\n5426 43576\n28499 44115\n24553 45541\n15366 78876\n7599 35359\n49160 78768\n60470 63053\n45070 75687\n1584 54967\n22519 39717\n56975 98952\n19664 24958\n25993 88794\n60560 72745\n18270 74961\n66697 83333\n51065 93207\n8073 50283\n11344 86602\n63043 78289\n39566 77283\n71286 86734\n10294 34250\n14939 61342\n79282 88242\n88045 89628\n6691 53872\n76255 82302\n69433 76467\n41234 70385\n13008 88166\n7412 34183\n49141 51313\n10727 38096\n25085 39059\n39967 94969\n6453 43567\n24143 88329\n48362 64748\n22794 60179\n43523 99893\n58382 86496\n4409 45949\n45866 47467\n24061 24489\n49863 74104\n67669 72555\n2431 53083\n2602 72421\n41730 85694\n42847 99450\n18377 30767\n58658 79723\n7644 98208\n81291 88650\n10390 30776\n2765 80202\n361 8065\n15283 32754\n84857 97608\n15449 73693\n15123 65579\n9638 67495\n46502 84128\n80353 82822\n64597 81693\n411 95524\n32128 59565\n42428 82180\n31243 99626\n46381 59224\n37029 50435\n14615 64044\n13817 26963\n32014 60034\n21898 46145\n21569 66546\n15601 41882\n565 79816\n36185 62060\n75976 90187\n19804 59130\n90723 92632\n47142 51565\n64745 71221\n27009 61393\n18482 33774\n36504 67752\n20956 58697\n39908 95701\n18116 25555\n32270 33522\n17966 76549\n18135 79071\n13420 41709\n5823 27887\n7610 82067\n7156 87862\n40035 80431\n68301 86797\n64448 76323\n15802 58109\n54506 92793\n20575 64300\n46694 53846\n20131 93440\n29955 73591\n40784 81002\n17521 27140\n22954 96275\n8510 18759\n41613 72773\n29295 92212\n10712 77043\n63181 84912\n80655 85064\n54265 63585\n40139 47657\n50817 95986\n44328 67213\n31745 47111\n17874 35522\n12764 96827\n77414 77567\n45375 47711\n13790 27876\n19522 23380\n17165 66802\n12447 41476\n38748 65693\n27447 56001\n39362 55000\n12989 92349\n74290 95146\n18735 75822\n79678 90094\n7984 69407\n35979 80851\n52431 59802\n24177 37796\n18780 27093\n21580 25922\n25906 47336\n11340 80345\n38586 62746\n649 6072\n5920 78595\n2327 58768\n18847 87718\n83520 89227\n855 75500\n75093 91096\n38860 42281\n43540 77409\n42374 54782\n7832 85338\n37087 51237\n10457 12403\n50741 51905\n39750 67618\n40579 80207\n43826 67419\n60041 60414\n57688 97679\n19439 31349\n37612 90524\n54125 79085\n61981 88944\n25428 50492\n41901 43768\n10718 26322\n10328 47693\n3298 58446\n24859 45562\n54555 82287\n40080 48661\n33690 72162\n5611 11402\n16382 29463\n20152 44442\n16058 36497\n39239 74458\n40661 69266\n41729 43696\n21015 21845\n71902 90240\n9722 69749\n25016 61284\n25959 40523\n36536 79174\n4570 20297\n6998 40307\n29995 77769\n18432 33884\n10655 30969\n9565 94906\n45006 62983\n62627 81047\n38565 95212\n56228 71194\n16549 48409\n46625 99947\n55783 58458\n21521 23690\n29234 92516\n35863 50490\n38099 95607\n42649 57636\n34719 80755\n26064 67616\n3310 7239\n29599 35142\n24161 27415\n50713 78268\n22857 49970\n48546 67275\n12355 39316\n37729 62903\n27279 35470\n60571 63277\n1804 87367\n901 53724\n18533 99246\n26493 58963\n14339 43600\n44748 59087\n34601 82982\n82312 95554\n15776 46268\n11081 15084\n15456 72692\n575 8886\n18284 96934\n9583 86818\n4949 68948\n5950 67021\n466 34557\n45566 98979\n4997 32762\n18211 50566\n2688 13709\n22941 51052\n46505 99869\n55390 86162\n13140 68919\n51742 81343\n49255 76504\n37101 72079\n2408 57826\n27827 47031\n38672 80333\n75540 98333\n48091 95892\n21352 31939\n30585 74159\n3720 5052\n26001 86493\n39333 51588\n5803 69993\n19798 60094\n18588 70326\n11659 60128\n41196 89808\n16619 77833\n31764 92149\n10614 83644\n63569 69026\n63192 75391\n11744 46364\n51960 52708\n22955 79173\n23197 90876\n29032 67329\n3311 57164\n19184 52357\n9082 29655\n48445 57694\n80512 84931\n24754 82880\n48592 98827\n62541 73302\n13360 19234\n38500 86767\n6513 58792\n38780 44894\n53900 69351\n27178 40275\n31227 89609\n31322 53315\n31962 71496\n82406 86951\n32163 65766\n60398 76704\n20404 46396\n21338 42618\n53194 61854\n72895 73886\n33983 98671\n3397 66901\n83726 84883\n628 42509\n41100 44549\n3534 95856\n35676 36123\n1956 50101\n3695 72400\n20629 21861\n1592 41591\n2876 89138\n74555 74959\n34042 91728\n3760 68357\n54005 69795\n1968 60100\n17 81141\n6058 100000\n25810 95754\n2353 21906\n32709 67930\n76779 77831\n24536 43758\n73882 82560\n8927 80145\n9022 48125\n48079 84993\n2952 58856\n2631 24619\n57340 73316\n44351 79896\n31663 86313\n69461 77391\n7794 82945\n21496 25291\n35307 64539\n48366 73152\n36491 51219\n21080 21610\n61469 83536\n69151 73594\n37399 88833\n94252 99258\n62651 88367\n18066 96893\n1566 15801\n48850 74808\n14863 84252\n64891 90645\n55296 86442\n58116 61478\n4728 24274\n59946 67989\n42084 53644\n83006 90002\n44549 69720\n75823 93353\n86001 93946\n31992 64597\n69111 71907\n13955 81507\n83370 97496\n9054 60237\n22460 86106\n67147 81773\n972 14869\n11203 97402\n2071 96706\n28850 85815\n53645 90640\n72357 74153\n73550 87466\n702 72772\n85490 85703\n21582 73316\n59832 92921\n14087 89145\n11010 15040\n39588 76989\n1715 22848\n32230 56579\n26163 90933\n101 22919\n42931 71867\n26 38465\n5038 55245\n39055 80609\n23071 74189\n16020 32485\n24034 28099\n9870 72225\n6615 26211\n25901 66155\n86141 98105\n46521 78093\n81897 89115\n27933 61215\n4232 76991\n5210 24692\n21018 77665\n6734 32886\n17021 96069\n77815 87900\n29612 68568\n29254 93815\n22063 61199\n9316 36961\n40058 96325\n23987 40659\n22319 94462\n86219 88969\n10142 31611\n34148 94141\n50823 66927\n37197 47304\n34885 39385\n39418 64191\n54501 67107\n56714 79855\n2207 39612\n59470 89028\n69718 71721\n8263 56674\n26464 58970\n11707 78785\n46279 58742\n31340 87464\n21223 53208\n55978 69390\n37197 50600\n37760 89596\n12109 75669\n85345 99421\n50596 93700\n33552 71067\n1449 21580\n12162 81203\n1344 27522\n38002 83829\n46737 86279\n94029 99984\n77540 89152\n33155 47045\n85470 98536\n78501 84952\n20393 68828\n40619 66023\n83744 90505\n3816 77492\n52083 83945\n9376 88666\n23216 56849\n772 43725\n5839 84913\n1425 82594\n63752 98085\n10019 12880\n78853 81281\n2700 70224\n56345 87855\n9054 99270\n28899 47717\n17652 38594\n82382 84793\n30469 64743\n40030 67417\n77923 83561\n43254 65071\n35720 60959\n11559 87946\n17686 59277\n36547 75139\n26832 94389\n4522 22486\n31831 74920\n31650 39735\n61917 78876\n49151 83911\n36253 42029\n4184 4527\n469 29280\n27036 61756\n2120 33850\n18109 76099\n59417 76527\n30692 34525\n58258 63388\n47121 49991\n19001 68383\n53127 89362\n53648 76946\n7581 72763\n22841 61303\n2238 13307\n11764 67366\n62638 80895\n66424 89239\n19747 51886\n2638 93271\n53349 77859\n34420 72355\n49975 88517\n75358 97230\n84428 88987\n14915 62221\n44548 63447\n23737 47253\n31564 96433\n4525 18112\n25936 37887\n27349 56218\n23288 42777\n3459 47851\n44288 79799\n2577 6384\n48158 77246\n60099 94097\n27438 60701\n40049 54719\n26239 30787\n50768 54642\n44074 82303\n26973 44243\n16770 33264\n26002 59196\n21579 95391\n48778 91835\n82573 89548\n21018 71393\n44307 79387\n15705 52411\n2599 9057\n19087 35134\n4192 6176\n12066 24846\n21303 60128\n48097 64477\n85266 93472\n1798 85267\n55014 64767\n73401 99550\n16804 48245\n35593 56493\n14704 23309\n14551 85120\n34632 44543\n5278 55746\n57166 92966\n37283 82612\n38072 96562\n12380 39346\n4878 21758\n75259 79771\n18876 48083\n28233 79102\n22145 39754\n57742 63187\n15236 98451\n32467 90352\n72126 92235\n53571 95629\n16762 64360\n32060 77109\n57600 86451\n10507 91303\n60072 65540\n2694 72354\n5820 59771\n58200 94677\n16032 24160\n5666 21138\n49622 59222\n19903 67882\n42049 80475\n64840 97462\n5451 15589\n30887 96095\n5266 18725\n5912 35496\n43324 87689\n33207 70667\n78596 97401\n35150 99988\n61598 72792\n36585 84927\n18374 48491\n12141 76679\n41115 98531\n36116 66630\n38192 83679\n8011 71445\n60639 93581\n51761 89353\n72449 83783\n52693 71619\n2113 3583\n1053 8574\n3802 58654\n38368 83046\n17694 19920\n72115 86628\n34787 93250\n17954 94037\n4236 21562\n12418 23192\n9430 21104\n53731 77645\n74960 94267\n20887 87030\n22264 95080\n36710 56335\n29852 30601\n77064 78232\n26117 73716\n17094 54534\n949 54308\n51367 85663\n4221 12714\n56117 85413\n20077 50160\n45948 66821\n2558 95076\n47089 77398\n88965 94211\n80499 93179\n9655 99429\n29047 44829\n19300 40913\n27704 50422\n17198 42761\n6876 55011\n17794 26185\n1180 23078\n25437 98977\n24589 74886\n25228 58407\n79230 86617\n37330 75682\n85329 97022\n3090 31356\n7417 61615\n55056 88188\n3699 59080\n1907 37274\n29439 61423\n9970 17060\n12813 83070\n82213 94945\n19208 83498\n37271 47007\n16105 38815\n51378 91629\n27544 88218\n69099 97657\n19519 46516\n54459 57882\n18636 23646\n5856 25172\n15653 76465\n36763 40789\n16949 79876\n48365 61127\n14480 36342\n33450 69648\n60789 79988\n69916 92577\n17952 84222\n68886 92267\n29823 33129\n43696 75556\n10754 35162\n73657 78608\n31032 94601\n61533 88050\n28317 89593\n32199 63841\n62578 78489\n58890 80532\n66831 98451\n12156 70628\n61212 62601\n22340 83843\n7755 14764\n40341 96372\n893 62715\n14981 77042\n28239 83493\n78004 79659\n48091 85901\n65785 68898\n26156 27826\n26652 28214\n57226 74792\n66389 82786\n31071 62078\n11439 35508\n40213 43008\n27392 54205\n39168 84054\n34376 66568\n20415 66424\n40261 40791\n56757 80172\n45345 58483\n25380 73185\n15724 23970\n28331 44833\n27625 73228\n11649 54179\n38820 97169\n41080 76616\n46257 75985\n17236 63002\n17383 82327\n17072 29393\n40073 82555\n7266 64898\n16305 20963\n20190 69557\n88249 89156\n70770 97886\n25003 26825\n15264 53772\n11852 14852\n9385 23044\n46775 76629\n31908 76384\n100 2843\n13288 26299\n10201 95432\n47237 70027\n9556 42466\n32464 37038\n62366 64804\n56251 78846\n83767 85918\n4389 72170\n27846 83478\n524 71320\n23681 84104\n62206 70317\n81030 99637\n23580 59817\n37594 49053\n3736 33438\n5731 79046\n30796 85957\n36202 63533\n65201 91424\n48056 92111\n48885 98293\n15177 20732\n6707 77576\n63332 75602\n53201 77428\n28259 92555\n10183 54733\n39961 94717\n10222 39517\n17568 86124\n22842 92901\n22864 26187\n27445 29488\n43429 71605\n91852 96335\n61723 97301\n41285 58037\n31269 39858\n61493 74329\n13969 37976\n27130 83021\n36681 68202\n4930 46158\n51226 64498\n8006 89425\n2563 14355\n8906 32937\n94244 99956\n31805 93231\n29187 43145\n17600 68915\n21186 27116\n45411 62406\n25463 95537\n22801 77602\n65914 96507\n11764 58114\n27082 87641\n29911 54692\n27480 99416\n40624 85479\n40252 77737\n42487 69297\n36947 62957\n63785 67565\n23835 39225\n8504 47144\n26412 49681\n88351 94877\n73051 94543\n42176 95625\n11826 54516\n8965 59649\n40259 75534\n58393 72981\n15158 97091\n59013 82651\n34381 52297\n33286 78128\n26249 40879\n15933 92093\n2610 35874\n47030 67482\n13782 67767\n33166 96475\n19336 43159\n55367 72526\n28205 86117\n61961 68257\n26305 70794\n17391 69067\n41116 99803\n35266 82996\n11218 39327\n8717 57347\n9239 26376\n10863 88268\n11157 61764\n75910 86433\n58578 90510\n43878 79530\n1908 19434\n53631 79738\n21636 76365\n34921 41967\n33505 36534\n61471 70494\n45816 96132\n56676 96531\n52891 69516\n22801 40794\n5316 96918\n50500 65857\n22603 81799\n11576 11602\n13920 14543\n4082 13182\n25685 37847\n18998 36861\n26352 63994\n3752 96409\n39577 74704\n17634 63049\n64104 81072\n35707 36223\n3773 54928\n42892 80518\n64720 65336\n15445 33633\n1911 55783\n27661 78054\n43232 76288\n43176 57189\n20695 39199\n5228 17351\n88803 97538\n38440 81599\n33832 46469\n5584 30349\n9853 40077\n22838 70229\n53171 83124\n13844 60140\n86449 90753\n53799 85189\n16063 31283\n16756 82928\n18404 96389\n11220 44553\n28970 76527\n24664 68178\n87975 95557\n82442 86640\n23812 89621\n51541 85071\n15897 85424\n4469 95095\n16592 95556\n3810 17859\n76535 86552\n44831 89044\n32026 58711\n20706 28056\n57999 66132\n37996 77367\n14764 95184\n91349 96165\n32785 47826\n6009 66503\n71233 97503\n92970 93007\n43599 97927\n42021 64470\n63508 66135\n3343 57808\n3619 26469\n13112 90134\n14734 54868\n44669 96188\n26025 60316\n4165 99181\n92139 99955\n66770 86856\n85204 97160\n20189 33261\n21867 56065\n13765 70006\n82054 84003\n34496 98623\n46034 61559\n73483 76357\n74754 91454\n47370 66919\n45300 53531\n24217 86822\n62909 86139\n6446 11200\n56862 77954\n38408 93043\n92884 94774\n61150 92149\n75546 84054\n1506 9783\n10869 62095\n11654 81546\n1926 23106\n31344 42357\n4759 11068\n40792 81501\n30667 77791\n27273 41399\n2520 83062\n12629 19141\n29626 34378\n6309 19411\n36883 59767\n23673 49013\n55555 76780\n5590 94806\n39411 83682\n6909 30838\n5765 15555\n1821 33233\n26516 92629\n283 11597\n66165 71401\n37610 39955\n60168 91048\n47236 74286\n22908 30335\n36012 81861\n34484 44717\n58965 92520\n45161 76553\n4979 51757\n53986 85537\n22951 59181\n41774 81102\n4245 98591\n46273 97132\n82382 89573\n18769 50651\n32641 59666\n17948 52772\n26592 76328\n24277 37596\n37372 69713\n85758 88102\n4568 93701\n58738 90795\n25565 40373\n17875 20589\n28117 45772\n32038 61927\n9299 46457\n60382 91384\n54903 72611\n51235 98739\n21526 94210\n29492 72925\n11120 96383\n12089 14345\n29451 78289\n53881 78155\n73165 78096\n48137 53496\n86626 98963\n49443 63547\n79486 98666\n27902 80362\n15921 77750\n11349 23320\n316 58994\n58029 93650\n8218 39544\n27906 66785\n44947 61246\n25065 70057\n78998 97369\n24330 73881\n15330 29951\n36973 43306\n84100 87446\n34349 90888\n26453 37955\n21860 26417\n51756 64592\n5968 68729\n11697 29997\n42757 73722\n42953 56009\n20377 25600\n8469 46132\n91928 92515\n29267 74796\n33626 71249\n697 16702\n48310 84238\n86770 97034\n10500 51878\n28546 60612\n50847 63970\n6932 75807\n31597 75056\n647 17010\n36863 54099\n55107 57656\n1744 96194\n74705 82388\n30363 62762\n46585 57767\n38122 66082\n6025 54796\n7567 10690\n8361 80514\n8268 96171\n66954 84193\n3618 39036\n37271 93629\n41331 74222\n73164 97096\n17470 71751\n27067 60504\n48367 72740\n13676 61100\n83215 83713\n73150 84247\n49274 52997\n19822 93995\n50135 75828\n44605 87208\n78846 91545\n27002 63425\n63555 83393\n44387 47514\n21543 96282\n33710 54775\n29348 50733\n25918 90731\n38442 75627\n19823 83395\n22802 84146\n38701 99520\n1636 76485\n1547 99828\n54834 63926\n31756 87438\n25433 46573\n21774 88995\n85298 99603\n32757 92978\n22975 58805\n15995 81217\n60202 69638\n40960 46540\n42401 46277\n38497 87064\n18357 59792\n47229 72858\n13453 99366\n17144 81841\n63004 65969\n38601 56542\n45993 78817\n60684 84203\n41000 95818\n60417 82424\n77879 93982\n70758 81233\n63421 90235\n23076 37748\n6024 86861\n43186 76893\n13980 49711\n41838 96674\n59818 75342\n45102 56316\n47141 50631\n9496 32607\n3925 57530\n31171 80514\n29182 37278\n40219 61891\n28052 63072\n7385 14241\n7228 73023\n52958 91203\n73364 90930\n97548 98094\n45463 85918\n48351 68689\n28829 54340\n36032 68842\n20648 66787\n50296 99507\n37658 49603\n2507 64878\n45005 55179\n87235 96500\n3241 86349\n9459 81680\n24556 37537\n65962 99732\n54370 58827\n54354 70392\n97444 99552\n20954 60588\n39845 95562\n38108 51042\n3172 16027\n14208 67046\n52179 76948\n59879 79879\n73603 73772\n553 4469\n27622 63137\n7339 88429\n17021 42560\n45396 93366\n3664 72794\n31681 69724\n27344 87226\n31378 79780\n41026 72672\n6388 37542\n8228 75183\n10541 22924\n21232 94248\n55942 88514\n34482 42375\n71969 74345\n26778 67858\n24372 31446\n50971 99034\n31719 47435\n6838 59112\n37229 68961\n7542 36787\n28174 31863\n5784 81092\n9775 65949\n29054 30085\n49637 84716\n2472 76831\n4557 75145\n41924 57662\n31794 87265\n32553 76313\n11672 20790\n31124 96968\n29932 70358\n33097 59504\n7911 88865\n72074 76691\n17518 63009\n742 99324\n37117 54014\n68735 93113\n67912 94929\n26909 35884\n55298 90744\n11345 21507\n56225 62733\n25912 30906\n40169 80237\n69981 97895\n57656 91236\n10709 27906\n39675 70723\n70975 77243\n26905 41247\n155 17120\n22513 58545\n61587 72408\n2870 12654\n1958 68803\n32077 79459\n42637 67731\n55319 68496\n32782 95918\n28054 85113\n52960 75219\n47568 56728\n45808 69749\n42682 65700\n7938 94364\n8828 96048\n56036 64397\n4667 50439\n14858 98059\n25254 75199\n40280 50032\n27769 74363\n2430 75166\n14571 53377\n9511 33408\n22406 47841\n19882 22770\n18964 49399\n20039 71552\n56363 81841\n28997 79997\n33402 49632\n11768 19633\n54651 95661\n368 59318\n15769 25831\n6680 96432\n47898 82985\n75716 77489\n37258 71066\n13097 41113\n6770 52148\n28047 61790\n27779 59411\n76459 92448\n29163 47817\n24798 55706\n24761 47944\n34053 99246\n41426 44416\n54907 71219\n67608 95477\n65481 70296\n37289 41293\n74574 84965\n19990 28436\n6731 18241\n8102 77381\n20807 43677\n3734 7225\n55463 66075\n6702 55932\n40287 46090\n6954 41382\n6150 89238\n71127 97116\n40044 42431\n2577 12270\n54303 76703\n22197 89000\n9388 37591\n3296 89512\n9469 22701\n27949 94641\n21869 35500\n3007 28659\n9107 45254\n4738 8163\n77219 82033\n39337 45567\n8403 35598\n60513 74786\n44852 50515\n37659 91185\n33717 90367\n55130 61434\n30769 66937\n45032 68757\n33527 60829\n4441 27320\n177 33707\n4895 9873\n35968 76068\n3622 96881\n6943 18482\n78885 79651\n28592 30512\n26562 59641\n42593 94220\n42884 50222\n2902 17267\n65920 90506\n75358 75424\n19399 64863\n9790 28122\n11192 28250\n22237 40451\n69116 78404\n25214 26951\n41382 95738\n13762 31098\n70079 97494\n59055 67149\n56486 78579\n42116 43084\n27567 56852\n45796 77548\n26043 54776\n66125 96480\n3294 36043\n12761 75162\n26132 30473\n13906 38343\n786 39067\n31203 55987\n67079 70702\n14001 19115\n48693 83474\n20419 47835\n47823 84119\n63828 91606\n76670 94683\n46812 54255\n73131 74894\n48872 87314\n80406 99849\n35041 40738\n28067 76533\n12795 74844\n56983 86825\n15282 58142\n45927 97213\n30507 30711\n15837 48466\n8569 21438\n2117 9464\n37448 99660\n5568 59094\n24679 47494\n75228 96515\n57345 95903\n25910 90894\n41426 41877\n313 2660\n28942 52699\n34405 81540\n20178 46560\n45862 90731\n14295 74122\n41194 50072\n56536 66204\n31544 66968\n30923 71346\n31716 97763\n25624 71641\n73675 83603\n46983 48806\n61890 85785\n45950 73912\n55161 60206\n24494 27599\n67790 81887\n39518 47428\n6237 49606\n4120 73163\n28865 33123\n1574 52536\n49496 86729\n64121 67056\n98095 98806\n24587 52854\n8285 40290\n61220 89405\n13711 45573\n51637 55275\n40197 87856\n20515 22641\n21105 62208\n3187 40537\n76699 98478\n9354 28785\n1294 46856\n34321 68862\n40223 70562\n73376 90400\n32699 78918\n63518 83180\n65914 69183\n29584 81678\n7588 90772\n23169 71143\n11114 75352\n51258 76565\n35576 61554\n16772 20517\n37773 61625\n9064 36343\n73211 84327\n77908 90697\n56134 66045\n25463 60912\n54311 70924\n78347 92365\n2698 11589\n21607 32595\n14814 18639\n26031 29123\n7061 96848\n38830 98720\n31559 92160\n28162 32748\n17374 81590\n77090 94293\n18651 70219\n65711 70581\n16788 45825\n49288 93388\n16084 50414\n4927 16106\n52176 72603\n37889 84176\n52853 62670\n3051 13441\n64724 79867\n22040 86172\n16269 20958\n87414 90380\n21117 97414\n55981 60237\n4745 8191\n8047 15750\n43006 80343\n87628 95948\n32341 96105\n53381 75248\n2581 77135\n74901 91805\n11876 37437\n36172 79254\n77570 96524\n20595 77960\n62853 79745\n66046 68445\n6537 79351\n54793 80759\n1357 1527\n77048 89329\n52853 57290\n16994 57119\n33203 57683\n28995 74852\n38159 41110\n88733 90958\n1611 53685\n63765 77261\n31155 33933\n53635 72986\n23096 63595\n33666 80747\n39468 61398\n26474 35677\n44394 45266\n20885 89166\n42508 57203\n32878 69204\n14571 99386\n51 21683\n15939 50347\n27392 27897\n7809 97447\n14187 63053\n39737 84472\n4161 84855\n31307 49909\n76084 95704\n58577 77518\n22230 80429\n1159 23265\n10523 50524\n47938 83231\n67929 75567\n48705 86645\n1438 66115\n51425 62672\n345 66694\n2453 47362\n30424 90883\n69735 89760\n13517 71018\n2829 23619\n59636 78160\n24530 90985\n17182 33660\n23082 51634\n33036 46614\n3536 34702\n9753 81721\n38882 46396\n30394 66269\n30311 50211\n28030 82253\n51063 74143\n51402 73810\n36926 91727\n7572 87483\n25795 98625\n27425 80675\n3655 88579\n2206 40210\n49171 86005\n50620 84854\n14796 76409\n63488 68877\n6610 70585\n47894 92392\n57611 88241\n12720 80942\n14199 78315\n12519 95868\n12371 14906\n38953 94301\n5736 38853\n1391 80056\n53031 60204\n1701 80239\n49988 51520\n63664 82631\n49127 49661\n42899 89408\n23192 95916\n5178 85375\n19439 56320\n32629 47214\n84955 87700\n2296 16607\n7231 16825\n54139 87743\n41979 90700\n28848 90207\n25957 53267\n28590 63360\n59167 80553\n34141 99871\n63904 85233\n81162 95987\n43483 78277\n17359 86367\n48802 82437\n8598 98891\n46996 72977\n68567 73822\n21606 28561\n48546 85526\n4977 31250\n15080 95527\n13699 61667\n1813 59800\n62362 82499\n49337 87894\n10778 98778\n7386 90024\n20148 54314\n4844 18173\n24343 29845\n21789 72206\n7966 87758\n34111 64342\n51566 94008\n75248 84693\n5020 73756\n45619 74215\n58829 77408\n21635 82082\n74054 96013\n1408 25156\n19894 73359\n6659 34016\n8456 12866\n57993 73809\n32644 70791\n36900 83644\n46394 89672\n92504 92811\n14157 72834\n2027 43834\n58649 71681\n1767 97324\n50673 56923\n16251 27635\n28105 48207\n44406 76372\n48342 76931\n75231 78907\n32377 93503\n27466 61997\n10450 21802\n35344 48355\n14546 59504\n27631 77655\n70913 76523\n17673 18274\n43190 81506\n55317 66178\n70698 96713\n29424 65422\n3850 73548\n30072 40591\n6534 38491\n21970 46858\n8742 80029\n11930 92166\n16956 83682\n8333 59724\n25767 80967\n34957 91314\n51973 59065\n26098 63509\n77117 95398\n2572 73731\n22762 88866\n9903 24910\n1438 68407\n28004 87763\n6245 59782\n3718 78006\n2397 45063\n20193 44631\n16987 80128\n70333 85387\n14759 89002\n11116 51347\n14977 20781\n1510 35957\n65416 66752\n21617 37592\n64022 99265\n51372 86239\n26859 60059\n79734 93135\n11814 61387\n12981 63025\n62770 79409\n34368 97033\n7064 31575\n47171 73642\n91466 92468\n10935 24029\n27793 83279\n32909 48788\n67811 91065\n21818 73620\n47302 86832\n36249 74325\n27843 85715\n7129 23441\n66349 69985\n35916 61052\n14317 63311\n41324 46957\n81818 89251\n8029 88742\n38989 41367\n54652 83835\n2108 77984\n10936 65291\n5243 97771\n232 18546\n3812 55846\n3197 81992\n46990 95556\n79305 97296\n27866 84194\n158 92684\n19035 83324\n56844 60787\n75197 86263\n84740 94247\n31525 98526\n12849 36893\n1176 51399\n27443 54614\n17814 41747\n1792 6852\n52096 74599\n76613 84014\n31423 68408\n27010 44389\n44269 92116\n30541 69928\n46687 95468\n2562 64382\n25676 63212\n14764 18113\n7054 43112\n17476 88758\n35970 93025\n30625 47705\n78352 80895\n33337 99379\n32197 64184\n49222 58275\n5883 57712\n22584 23728\n16300 47762\n32714 79972\n14383 65697\n1462 10786\n36958 61480\n42673 72527\n42242 52884\n36041 65554\n15796 94649\n22770 27683\n49528 63591\n7210 67165\n56061 88174\n65332 66572\n37061 47582\n26532 55607\n19302 39517\n68418 80372\n21539 74704\n34673 68095\n18018 26564\n9576 15472\n18508 34266\n93442 93961\n28816 97861\n11694 76912\n9790 59522\n27040 63521\n8495 65335\n47871 75518\n17887 65206\n30407 47298\n13660 83274\n43066 95357\n1563 60734\n28438 46681\n18640 63037\n14949 94677\n41093 41249\n95296 95592\n19988 75747\n37251 49247\n38480 43553\n83655 87236\n50649 74704\n51360 98899\n82147 90928\n57545 94867\n77343 92172\n12191 79646\n24087 50890\n12855 18551\n70736 86838\n62358 72194\n25720 36307\n21815 84314\n26829 69244\n33039 49708\n46987 89083\n32602 68281\n86040 95996\n67782 79311\n50023 76868\n10218 87417\n87357 98402\n7339 22256\n69837 92797\n4121 13486\n53308 97318\n25599 89160\n16758 51325\n75121 76536\n69852 90468\n14500 87456\n69013 82498\n49000 57997\n47932 60777\n51531 87704\n54234 73140\n4147 26590\n32002 61322\n58500 77230\n51908 86807\n71111 85077\n21030 61175\n24605 72833\n79863 96736\n39202 85388\n18065 77849\n45355 87403\n50407 81383\n8318 30073\n53351 74564\n10390 70302\n2378 45729\n45752 56499\n17522 62422\n59028 87241\n34386 97082\n31578 98382\n8802 77393\n12487 41195\n43478 85387\n56444 61529\n33663 45485\n44856 89398\n11196 34205\n32620 63250\n71624 99527\n30300 32442\n15124 27374\n6189 29451\n46375 71448\n33518 85433\n23501 34781\n60562 72035\n16066 97124\n25539 60140\n51294 97810\n14425 39342\n16506 86953\n31761 73898\n68408 90405\n59463 81160\n24295 94541\n12742 68967\n14605 51185\n70462 88529\n1281 70023\n59860 89789\n84999 96038\n36027 38859\n3785 34944\n57485 83493\n56441 56811\n52606 80244\n45357 51003\n58713 84778\n10258 99357\n5321 14052\n44420 66722\n46244 87812\n43477 55450\n33248 49441\n3723 93200\n57043 70091\n10883 21688\n49422 69597\n78247 87780\n44974 84266\n80170 87427\n69239 92884\n44892 54399\n20550 61220\n9442 84900\n54485 84875\n54072 78717\n56361 71496\n15828 29438\n23775 32078\n51780 76569\n16100 96273\n5940 37702\n14726 47146\n60131 65859\n40636 63724\n9794 75749\n64499 78494\n28097 38721\n16546 24769\n25692 29604\n19996 52846\n41509 58767\n6613 93584\n16845 34769\n60488 93898\n88617 93338\n69375 99730\n66767 89195\n68927 79196\n917 63792\n39866 59527\n88285 98166\n23930 98359\n11591 71305\n75275 92488\n34826 62134\n2576 79439\n24683 50358\n65497 94158\n31673 86352\n1979 43205\n73679 84925\n42812 45029\n44626 86030\n3747 13755\n59481 62620\n6528 95116\n39441 40591\n32588 69172\n9396 68086\n20942 81601\n28608 47795\n10409 83500\n24925 70895\n27578 83375\n67703 97781\n61158 90385\n6415 9388\n39131 55815\n41260 53472\n13591 97292\n36328 41165\n1542 43997\n20202 95096\n39344 86287\n9327 66405\n15605 34688\n10209 13058\n38765 46997\n42942 97883\n47457 91971\n1261 31784\n12486 32064\n44745 71298\n6768 80028\n9372 22257\n18312 84542\n32395 59834\n25962 33754\n5058 38565\n8520 80188\n37858 56619\n16441 43610\n7680 99346\n60658 65615\n12748 97098\n12843 30184\n44553 47494\n14270 72477\n4517 75024\n339 4941\n3327 47257\n18998 99453\n42395 83132\n61172 88515\n3462 99278\n10834 26938\n54811 75096\n31906 50693\n54563 57006\n1597 40610\n39620 63133\n14348 76728\n41476 95040\n3040 62195\n35134 74336\n44963 71329\n54070 56765\n68026 77014\n38771 80590\n48235 68445\n40448 74926\n8530 10859\n750 34837\n47062 87722\n52835 88121\n33507 74879\n31694 32394\n85926 90920\n28101 52761\n6029 14682\n8385 26431\n34340 78454\n39632 53999\n56831 88000\n6941 91161\n29168 44539\n18945 39618\n229 39586\n80781 87080\n66472 80308\n33094 93706\n45351 55977\n8483 29944\n24296 28318\n59022 59999\n35610 93142\n8796 96444\n14252 67145\n39085 45340\n21376 77798\n54048 82909\n82080 90988\n3607 16836\n66322 81959\n2291 82632\n11809 36425\n48641 77230\n32569 57098\n642 99814\n24981 33685\n46121 95197\n37040 83062\n31482 94283\n13578 40317\n1280 2481\n7852 88609\n49484 84275\n33049 58908\n39424 85370\n44243 66642\n16896 34184\n13876 38968\n20711 81657\n73428 74830\n65414 87828\n7205 95279\n60943 67713\n51942 54326\n25996 97623\n82357 85666\n19738 37854\n32868 87413\n19538 45123\n53847 84166\n68213 93280\n39503 73629\n59048 96077\n69154 97707\n2520 31691\n27268 77332\n5406 69907\n25256 35379\n7392 22023\n21030 27332\n83180 86688\n9930 33807\n35913 78860\n22513 41089\n72391 96005\n46535 61422\n86106 89871\n45052 55500\n5476 9192\n39778 53731\n57874 64465\n40771 97549\n33904 54082\n2271 74749\n74269 83594\n77640 86105\n33173 60059\n16212 62489\n73534 94672\n28846 96505\n6203 46150\n43943 72205\n79577 82171\n74843 78731\n19132 87686\n60790 76701\n48920 74807\n27473 53853\n94208 94897\n55280 59755\n64584 81112\n51281 57281\n38255 45421\n20459 45808\n6693 28568\n9786 11719\n7 66140\n13181 82758\n4694 19824\n37194 85596\n61420 65303\n20634 35667\n15109 47356\n46674 55963\n12807 98772\n53652 75418\n78306 84080\n20011 71257\n9905 77460\n41226 95040\n20354 58916\n15665 48663\n10160 19266\n15994 16027\n42232 52000\n31952 64819\n11666 80461\n55210 70635\n62581 68690\n3068 41575\n18564 77718\n48 34913\n55679 67105\n30604 88607\n35534 82381\n26144 93202\n7405 52263\n68207 99686\n28478 35461\n14497 35868\n66559 73074\n4474 82903\n24107 75743\n22322 34430\n24059 24949\n37772 89230\n37514 84302\n22669 34178\n61784 91917\n42506 46015\n88279 88307\n22302 29107\n32356 77278\n52834 94825\n27509 65376\n10560 27885\n9736 55050\n24368 93521\n5913 87062\n12321 19602\n20198 72722\n28787 32560\n75885 88285\n19414 27929\n43144 68567\n20487 70897\n64559 85103\n15260 91184\n75738 83183\n61113 84850\n9544 81348\n44743 99603\n31211 97286\n15952 30399\n30794 44967\n59 1124\n834 24179\n14725 34865\n16105 38843\n70224 75291\n28405 61006\n23079 76584\n10226 65268\n4250 99683\n50311 86588\n586 29070\n37378 42015\n24550 25929\n28188 43565\n21739 44669\n35222 59922\n40572 63823\n8803 98298\n25391 30564\n25178 80199\n9098 48667\n21891 72564\n2388 21421\n9290 49073\n20533 60979\n28233 57293\n68276 93418\n2286 26137\n19188 62287\n39336 62424\n7022 72193\n6948 31979\n18726 61624\n6131 74167\n33246 79343\n25569 69052\n13268 92775\n75931 94865\n86800 95219\n55927 85088\n10813 70454\n32202 61359\n31706 51199\n53269 56868\n5108 78133\n83594 90038\n10479 90167\n9443 70281\n60884 65363\n42879 90811\n14020 71857\n5920 38774\n16309 85906\n35880 59830\n15230 86218\n40949 99412\n20833 29351\n2407 84041\n26129 81410\n9640 31044\n13052 41570\n21645 60598\n2975 86436\n72201 77773\n32505 94195\n63732 75027\n19344 92634\n17489 75984\n201 52125\n8631 52759\n77035 96335\n59629 64199\n40629 91793\n7755 37445\n52687 64097\n27178 49423\n69019 69605\n14133 80060\n53439 83447\n66807 77060\n78163 88248\n35992 40676\n68806 81373\n36383 63772\n17816 94737\n67439 75965\n23584 71521\n39501 83478\n27406 77524\n5425 29217\n16760 27356\n39764 98210\n48406 82612\n34696 70995\n23250 54927\n81579 82031\n64204 88529\n56794 66726\n31885 54647\n15190 35722\n94217 98494\n33301 78316\n6044 91500\n46410 73192\n55792 91029\n44909 62347\n22509 59539\n49380 67310\n49237 66022\n44183 96592\n12652 25321\n37546 37864\n2927 3949\n8388 54489\n36818 71268\n25856 27774\n77451 96925\n6176 91474\n75467 90521\n20107 85185\n16217 80760\n30201 54798\n6809 48606\n40028 40891\n64835 64979\n39211 50347\n71701 77824\n17449 97947\n8092 71289\n15930 91439\n13290 72428\n777 94050\n2619 75266\n65581 91626\n32865 67163\n33715 37239\n2201 93939\n10480 89073\n2366 84263\n26165 40792\n32472 88599\n1162 21562\n54536 74682\n85 39778\n61363 62953\n39739 99883\n71098 94175\n79442 80866\n29012 46550\n68100 95255\n9508 46876\n3574 9143\n5898 43841\n54899 72310\n15820 83245\n11988 79518\n5087 30703\n28809 44343\n47585 97289\n24783 39697\n48536 80386\n1186 55983\n4503 4769\n61921 66766\n74103 99713\n11242 56427\n8303 49281\n38581 64040\n51521 68401\n73987 95108\n20852 59389\n73975 84184\n30414 79491\n38248 66510\n10336 75738\n11916 57602\n50230 78575\n28356 77027\n20580 96020\n18051 33775\n37021 71213\n58355 62112\n12013 84222\n939 52646\n24435 31850\n16197 67354\n7633 69787\n42240 52009\n61373 73738\n32814 74660\n6508 67803\n32673 87761\n95935 96165\n12857 78278\n68220 74252\n34387 88057\n79359 97384\n9171 36114\n36086 93950\n24033 45673\n77697 82688\n15374 23158\n47226 59748\n37561 49144\n10399 66280\n33689 69972\n33648 52919\n67636 96865\n37558 98277\n9210 61237\n28012 39826\n34086 60948\n51852 69070\n22065 46889\n57 6685\n66043 72935\n14786 79588\n70432 99404\n82920 88582\n50558 75070\n65559 81728\n33150 80562\n51438 96550\n80194 92869\n2434 72621\n14869 56326\n56656 64083\n29340 40559\n64706 68816\n13439 48051\n13528 34945\n15417 55880\n63192 78037\n11605 30757\n32016 68735\n59059 99069\n55463 73713\n29770 58006\n22812 31875\n1749 37023\n43002 66884\n26471 83866\n35290 95941\n43197 63701\n24855 63716\n11909 84492\n72741 73477\n40759 76732\n32700 51558\n28361 39922\n35440 75363\n37923 83399\n3656 28520\n21313 99162\n16160 88584\n40283 42966\n34622 40781\n2140 16077\n60675 71825\n24152 25589\n2994 28587\n2329 99103\n58725 59913\n13176 31585\n2370 71300\n22714 59988\n20518 32925\n18745 35441\n40352 64794\n11081 50981\n28412 96740\n20113 28564\n14383 88665\n55552 83457\n62324 78660\n70803 79658\n41210 95405\n26549 60600\n62629 94040\n31304 85658\n55107 57732\n40796 85100\n11642 87565\n2666 74141\n35440 73528\n59997 60358\n4866 25436\n51342 83871\n1331 45029\n9856 73504\n65742 89091\n23601 92315\n3742 8087\n51231 75525\n46452 52359\n2702 27946\n59155 67348\n34002 64324\n30206 69830\n19456 61314\n75336 79764\n81650 86587\n1782 98708\n46686 94191\n4135 61640\n43164 77114\n74996 84538\n24778 33575\n81512 84912\n62044 78101\n9042 10126\n70494 99835\n6959 39917\n68364 70260\n1376 10787\n59754 63965\n8211 92353\n13842 83767\n56412 77037\n24167 47335\n4020 64650\n45626 63825\n10793 22632\n25218 73790\n49321 91940\n62614 92674\n59796 64008\n80910 98754\n39245 89965\n16300 97888\n9748 42308\n1295 20239\n581 19795\n13340 66483\n69212 92216\n12063 67660\n31965 81295\n33287 38444\n6822 96422\n39790 66133\n70975 92689\n44101 65736\n69630 99983\n52344 94369\n10475 28069\n32205 48812\n62124 82565\n46546 86854\n3696 12210\n68119 99769\n25058 68037\n26409 60132\n80774 97072\n32255 45720\n57556 88144\n42776 72028\n27557 33765\n17873 27868\n9839 39708\n21493 97829\n53616 92598\n42523 88152\n23537 36017\n11733 87987\n21978 30165\n7384 68923\n57524 70725\n76191 96374\n4097 89066\n558 96376\n16769 33941\n31939 98211\n50947 86457\n14634 17223\n5520 15034\n28647 59196\n1638 43098\n2889 78712\n41644 97594\n20935 42890\n38029 57758\n11344 20955\n48553 85358\n28200 63310\n47115 68218\n23978 67791\n21669 65907\n35054 84498\n17862 91256\n14997 75388\n61 26178\n925 15279\n53368 72361\n48871 97795\n28358 40090\n7473 25739\n20479 93851\n46595 60935\n29987 52771\n16856 61643\n26963 35292\n92391 93353\n36483 69721\n18551 95740\n13131 82023\n45273 63913\n83686 88352\n9506 31434\n71888 75530\n68633 70580\n18181 70986\n1534 75683\n18330 57644\n24853 68537\n6937 92492\n43338 86240\n9725 68403\n2424 96500\n18303 31627\n8215 58028\n40984 75799\n24285 85843\n35679 56000\n9666 40035\n37736 61187\n1623 7884\n25791 36885\n35939 83612\n53544 90272\n4148 70752\n23018 74331\n70816 82936\n32714 36606\n11763 89373\n71709 79575\n9925 91535\n33220 91056\n14627 74890\n35116 94232\n43136 91738\n40372 97273\n47197 76926\n43250 57810\n48106 60479\n32055 43984\n9210 47593\n62524 82929\n3572 93145\n25114 54555\n19924 94593\n8289 42609\n28666 39982\n219 5742\n882 72891\n20318 40329\n70924 78257\n70377 87002\n34153 35488\n72247 89554\n21930 53784\n62051 74413\n57787 66213\n57654 67934\n19149 47023\n17697 25070\n12447 96930\n72544 85354\n22974 31982\n22942 83434\n16243 77650\n35878 45391\n27222 30887\n29142 40309\n47410 59023\n10659 76739\n12767 31079\n50991 84280\n39202 76819\n2614 18888\n27100 42705\n49112 65629\n5662 13986\n11137 20061\n37637 99060\n18870 92101\n10203 44731\n45686 51721\n12262 54157\n4980 45607\n15460 87559\n48090 48857\n50227 54247\n25844 54848\n52798 79743\n35137 53594\n4543 98292\n89399 98482\n83049 98323\n39094 53216\n47235 91550\n59141 60784\n72288 90409\n21617 40199\n21750 58691\n39865 69445\n38643 49577\n7737 94095\n82344 82646\n36774 96543\n8497 62396\n38676 85336\n19746 26040\n10810 16328\n84963 98417\n51828 58890\n23132 95073\n8048 40055\n6878 59092\n41824 73953\n61178 91911\n66781 69443\n33885 83742\n9930 12284\n12187 83533\n18819 99438\n7885 31959\n30130 82283\n8237 60078\n5971 63364\n15758 61860\n70274 92465\n4788 77395\n18998 90856\n79587 86700\n8521 76419\n56154 99195\n38956 70969\n31930 46358\n49655 83289\n62716 88098\n94001 99009\n525 84182\n28730 56079\n14797 66656\n39919 90669\n52685 54554\n34097 41060\n34291 56054\n24721 76985\n54290 56530\n22421 93952\n29451 42726\n18899 36921\n37592 59285\n11253 16793\n32896 98833\n73654 74180\n13541 21793\n62627 69754\n46171 54094\n49849 55936\n42396 56920\n66032 95703\n7901 40112\n3851 62333\n6235 96421\n42574 84802\n35595 55203\n67518 78213\n41298 84773\n53880 99486\n7360 37865\n4509 26976\n36946 61483\n56627 96013\n24759 79779\n15926 55296\n19126 59201\n27868 30372\n86094 90925\n3269 89493\n77835 93090\n32065 51347\n28701 78812\n51387 59363\n72531 89626\n67824 90088\n40283 75607\n40487 44938\n13329 66775\n52338 73344\n66752 76362\n81264 99801\n69426 84929\n13157 88507\n7435 49398\n43335 86856\n17852 58915\n59640 74742\n62798 79986\n56072 65999\n47369 48448\n28365 49504\n7326 41349\n581 66887\n70441 79389\n41413 68686\n3426 6548\n22123 31494\n7985 51742\n57378 68528\n21027 28457\n53615 83096\n19692 56061\n63494 82650\n12579 64147\n3550 17849\n37882 81946\n29019 99325\n36889 75214\n21726 63892\n24341 36938\n3825 19115\n47578 70700\n48699 86084\n34479 52534\n18298 60595\n25929 64551\n17039 78556\n53255 67235\n44530 59145\n47812 47974\n8822 84474\n1987 55078\n88812 91411\n54320 87072\n48184 89968\n17143 88737\n50635 53653\n69585 71367\n70776 81740\n29578 85095\n7764 35323\n6809 79926\n4118 32910\n50843 88745\n56839 65655\n23253 80797\n3050 34676\n45026 85862\n36090 89583\n24702 41161\n56879 64456\n88647 89506\n70704 92411\n11483 67773\n2358 99023\n87442 90211\n36496 92561\n24936 54957\n45935 48797\n6353 92733\n71285 77704\n31434 90123\n35151 95250\n44529 66745\n88444 99476\n7374 64085\n17026 86534\n60819 62763\n30595 39444\n58632 92489\n10750 45597\n1833 29239\n57883 88510\n17346 75315\n92839 99675\n71848 96444\n13328 62285\n2053 89478\n31973 39033\n66437 86544\n96078 97917\n2157 51628\n27288 66552\n15132 61018\n81655 89179\n76778 77032\n12338 96407\n83950 90727\n54031 71845\n16057 46775\n23911 91256\n41578 41878\n21387 91116\n21868 85139\n38256 42325\n49449 95219\n3459 8290\n34852 38299\n40273 95443\n37904 58193\n19987 55870\n13148 30244\n24781 76935\n4328 36427\n69826 70848\n45604 49822\n46340 62297\n13748 73863\n78276 94196\n21459 36214\n26351 41790\n24948 52363\n47952 87474\n17959 55500\n24907 97137\n13584 81111\n42308 99592\n36047 78330\n4651 19035\n48691 67554\n25535 72314\n31384 67672\n17422 65003\n16376 82000\n41889 57832\n46728 89063\n2498 96460\n17104 75936\n56191 57483\n32318 35368\n299 25892\n65346 78605\n78398 89843\n43794 84499\n18187 60040\n1919 76690\n48686 52087\n10187 53249\n11001 25637\n20575 47189\n51090 75415\n1122 3354\n4807 83884\n41679 67388\n50574 74960\n82452 93995\n76819 83307\n80155 84124\n5381 61766\n26681 53881\n56385 88446\n10091 54478\n3094 29324\n20355 81135\n19398 30429\n64548 79578\n50733 78799\n36303 88444\n61733 61734\n26302 73133\n5274 52747\n73574 80191\n17918 25487\n13065 24411\n5043 93063\n32713 98774\n64222 86919\n11272 79796\n25502 33664\n29524 81869\n15082 68973\n46692 83119\n5322 59844\n7234 18211\n45171 99756\n57581 58395\n2030 52771\n29360 52447\n6982 87790\n69631 88661\n46025 52062\n79785 95930\n71151 78016\n14589 74398\n81479 88125\n25669 62240\n25586 88278\n83187 92329\n8685 28302\n31012 31692\n7323 43592\n6216 84964\n80167 85769\n5808 9856\n3756 42565\n28726 68687\n10228 40256\n58462 65149\n69043 75689\n13822 33132\n77036 91678\n4622 98586\n71226 80246\n10237 87982\n4477 23402\n50043 91166\n4227 9214\n23525 47751\n60305 83909\n26958 97978\n57944 90104\n65286 78780\n44772 55501\n23144 47330\n7479 50682\n38383 96782\n25489 31012\n15186 52465\n77211 86601\n23273 75364\n4828 94759\n12186 14599\n790 94177\n26983 64378\n86440 87357\n17478 98557\n31612 55876\n19756 36646\n41371 69814\n69368 98348\n59928 89598\n16429 28505\n2421 30953\n59265 76112\n29059 33756\n19279 82299\n50144 52613\n67391 76417\n16226 25063\n34439 86778\n44707 64017\n83632 85344\n10355 42870\n1494 63308\n17507 99609\n80183 98704\n52013 61938\n24987 93930\n30594 79305\n60793 88188\n7085 76449\n6480 38085\n67001 96480\n2464 33467\n26703 36877\n38630 44484\n2095 94518\n47307 52216\n7777 9987\n51109 79561\n14513 82386\n43912 77602\n18207 84446\n41960 50065\n17021 25863\n13269 63857\n1504 99230\n31569 37557\n40131 71409\n78603 94617\n46610 80641\n56524 96303\n35525 80329\n27238 38353\n29212 50183\n24814 64535\n48149 95534\n58923 67916\n73736 99447\n12827 57713\n51268 70919\n20727 47576\n65502 75475\n43645 53243\n23818 56001\n76820 95375\n36097 40577\n19473 99087\n48329 79583\n35943 52673\n83708 87678\n2706 99774\n42744 68901\n35102 77599\n12640 33833\n9073 46362\n23769 60978\n16889 81004\n731 21067\n32055 52376\n9755 43337\n24120 65276\n56324 78134\n82172 96407\n25070 88650\n12638 35403\n15928 41709\n23374 51774\n30879 59469\n2 4544\n15071 74511\n671 13478\n19617 37939\n45155 99756\n43209 46653\n1951 30365\n44335 50187\n37285 52373\n50551 68942\n18709 56993\n23804 31043\n15392 74629\n23224 61884\n57845 60543\n11386 37744\n9677 17993\n25160 40118\n29096 61984\n54037 97214\n14598 90873\n38974 54167\n9976 75505\n211 79847\n25427 60757\n55064 97725\n85403 89109\n21986 47484\n29587 57083\n3315 54284\n64326 69775\n26048 87928\n19388 56187\n39721 80490\n70947 77927\n14163 87403\n19303 80175\n63793 78245\n6215 37587\n4431 67963\n74510 81883\n20625 78579\n39866 78430\n6943 86180\n17094 65676\n35788 37493\n36621 47539\n50580 88138\n54443 61377\n21108 76851\n22857 27096\n55148 59192\n68639 71585\n40208 58310\n43241 68883\n49440 96067\n7504 59696\n15835 57065\n69271 84780\n58857 92253\n8674 63651\n13845 48880\n806 96848\n16108 22387\n83062 89008\n87741 95964\n33097 42732\n64075 71518\n61279 97424\n54757 94811\n59204 70950\n6861 37367\n57967 95842\n14344 14450\n67763 85933\n69600 93849\n52984 66390\n14641 87820\n14715 81670\n12288 83733\n22900 70544\n18103 59035\n83865 99777\n28350 32611\n9241 29370\n5596 30113\n52153 79568\n17774 53354\n62595 73367\n83001 92052\n21179 66362\n3084 75934\n47216 49120\n60888 99349\n33243 63936\n42946 63161\n11487 70814\n66757 91457\n8812 21590\n22865 23684\n39047 87906\n12439 61533\n42705 45636\n22440 52325\n30278 69951\n67138 83022\n56545 97574\n47412 62964\n38132 81570\n31676 70740\n65748 83971\n11906 34454\n7776 81370\n2997 61737\n42726 78606\n19312 68697\n34665 70374\n32680 44426\n25037 69459\n10787 65000\n18914 90130\n801 50583\n20908 82748\n497 83248\n36986 56560\n29459 82259\n77505 96485\n8602 36007\n69699 81441\n52431 99976\n17245 97299\n4829 28344\n27429 72988\n25652 57354\n53450 77372\n23061 90307\n8482 17527\n3068 30263\n25644 95720\n40288 45710\n11249 14539\n40588 78059\n1841 85444\n14603 62000\n51055 68501\n31471 42358\n40873 81639\n55446 87065\n7537 89828\n93735 98140\n89645 89840\n40279 81668\n45338 51195\n52960 59326\n54305 80424\n72471 75467\n6315 75987\n2187 29388\n79788 81735\n48749 81517\n41383 86881\n39514 44984\n60659 73753\n53945 80611\n13546 60926\n25241 99170\n11549 70721\n64553 98077\n12411 47880\n35207 79318\n14707 30097\n53140 68988\n62436 96998\n34563 78636\n1590 65701\n8315 92706\n12996 29524\n15477 65152\n4874 38649\n59302 62343\n37072 88063\n7420 44608\n81567 92486\n23689 80372\n50199 91079\n32509 47240\n15656 26566\n29109 54719\n62066 85802\n9556 67883\n40141 51446\n8379 65083\n41357 67297\n28416 74540\n10165 20006\n69492 86730\n40919 57460\n15470 25578\n42188 99758\n37638 46773\n19515 22562\n7172 57873\n63531 70394\n69397 71632\n45066 83640\n66561 80343\n12876 80482\n37456 84987\n17580 60916\n11792 54780\n7435 80255\n19056 80705\n17933 48893\n38087 69634\n10823 50123\n14801 99885\n34256 69847\n482 57423\n46851 92085\n63661 92210\n14182 56164\n39946 52248\n26600 84035\n7120 77684\n15767 62938\n20552 63761\n9125 80890\n41732 49528\n4205 97784\n16255 65469\n65895 91719\n14863 65423\n17453 44375\n20301 91755\n50990 94608\n11221 82651\n37441 41911\n33234 39094\n76264 83665\n16848 92842\n78726 98166\n45253 55042\n53015 79164\n54376 62837\n85741 90586\n45790 90233\n66161 71925\n10848 20285\n58894 98754\n44470 86887\n28277 85617\n25954 39386\n764 20670\n9589 62063\n48602 62527\n59835 79148\n35422 89052\n24047 62838\n14234 33041\n21154 40686\n12301 26086\n24189 71035\n77716 94586\n23340 46243\n38361 62664\n15786 77244\n9669 36052\n28638 32184\n37841 85578\n59012 93796\n3276 9717\n2644 43586\n24935 55061\n2364 83642\n17003 85438\n24269 96450\n12071 49486\n24840 88568\n49766 94587\n23729 24841\n510 48378\n15446 85094\n30236 66709\n4319 50732\n68373 70207\n43295 82361\n9640 26982\n69346 88558\n24044 86142\n44769 70550\n21877 86529\n3606 51118\n6691 94485\n15797 53095\n79568 91016\n43177 53945\n6770 16940\n79968 80678\n58946 78058\n50506 98172\n4553 53749\n14997 38230\n51418 68407\n10178 74677\n25240 87550\n11999 98579\n15574 32496\n693 66992\n31641 32526\n33851 94177\n44559 92494\n34507 50072\n50994 93800\n45046 62820\n54161 84316\n20676 80564\n58360 75380\n57003 74714\n57766 69820\n58377 74876\n79359 92461\n30596 91773\n53263 76026\n10178 79074\n47954 93469\n34073 71346\n85184 95475\n16942 19175\n21123 76465\n46599 76951\n23529 84908\n39837 72226\n8611 69250\n32138 68530\n41057 51014\n36180 62019\n35398 83156\n15510 99661\n15290 52387\n9207 70635\n42199 69648\n38097 88607\n54523 79058\n38202 38385\n17068 96087\n58123 87627\n12735 34139\n54631 77499\n24044 60450\n30767 51904\n24416 48652\n60878 77079\n25719 52637\n1329 73790\n2248 10943\n47989 70446\n41428 91590\n22631 37341\n2370 49459\n13865 66281\n32937 79826\n3975 80956\n70371 98395\n59400 80772\n94239 99694\n7207 72060\n62766 92569\n2821 17947\n44752 93307\n10647 90686\n37830 79597\n14162 63492\n7303 72590\n7599 27945\n50657 84532\n10634 31199\n29783 63908\n50654 51203\n20789 30306\n48566 50545\n27248 95053\n83052 92300\n45485 74480\n31568 99105\n12122 44258\n14100 75343\n90544 99389\n73215 86842\n18266 68876\n646 38124\n73954 91978\n55180 82373\n35296 74964\n33352 35669\n10042 24052\n51130 72076\n69916 91943\n9423 28253\n21219 40475\n23444 46134\n57704 96454\n28384 95113\n38642 92192\n9324 94613\n20702 27450\n70392 88340\n9321 20241\n12743 56791\n25385 85355\n43862 47044\n2119 31952\n25616 96963\n18536 62739\n11842 27967\n42736 56874\n23431 51557\n22846 76057\n19140 63637\n40276 73110\n40173 94600\n18193 91933\n36544 48926\n42638 99184\n9035 70683\n31406 62092\n3127 58822\n837 42904\n57496 74878\n40851 74698\n65062 77891\n51241 92392\n28968 42868\n20388 99647\n75062 83754\n25520 48388\n59253 69957\n36430 66437\n19044 66956\n41468 52575\n60846 70033\n72876 79994\n15540 78327\n2029 39911\n40576 88375\n22837 62178\n59882 96746\n12807 47898\n37524 64422\n10427 48025\n64526 67691\n14824 32444\n65054 88722\n43583 46051\n43671 84289\n15459 41135\n19750 20001\n13005 19679\n13090 83424\n72498 98195\n15156 87762\n12360 74106\n47725 49975\n45918 55136\n3389 69734\n72749 79610\n27780 78704\n6748 92912\n111 65780\n71592 77491\n24017 63874\n9281 59990\n11943 13455\n1388 60711\n22294 35961\n8522 87597\n48930 94905\n62982 68639\n7341 31216\n37434 47520\n3815 34579\n26739 92165\n4997 53787\n38231 64648\n14712 42259\n39307 88735\n23444 24588\n6747 63119\n72941 78398\n98983 99118\n6304 99593\n21932 55048\n60959 85778\n7910 85274\n16973 62453\n3291 9978\n48485 56731\n51781 97275\n36521 72835\n13806 46994\n50822 84304\n9040 66410\n62904 76478\n32176 67370\n32612 94894\n52287 79997\n16267 42878\n13564 37172\n17264 55035\n62503 98581\n6060 96435\n41754 45059\n52063 92005\n37494 81870\n22162 51694\n29551 50553\n72537 77407\n28645 83989\n20898 63699\n39242 90312\n4946 72533\n26496 44897\n17369 81973\n64663 83754\n24332 72315\n12037 63971\n70344 97649\n30141 57959\n62860 94878\n31489 55592\n65452 92801\n34147 71524\n13064 40347\n39750 48090\n35343 76596\n21384 62254\n81402 87238\n16742 86254\n12774 20345\n82234 93860\n14222 70440\n2581 11793\n83639 96717\n51708 64551\n48951 80734\n35287 68411\n61896 87759\n82483 89395\n13620 43547\n11497 94538\n50525 85967\n17891 66435\n17815 29940\n27727 38626\n8965 38383\n10946 93789\n60025 92368\n38398 60883\n15327 54422\n19073 56632\n12045 63051\n1568 72374\n73962 78462\n21563 54855\n870 35434\n46182 99028\n32278 89028\n21292 28370\n48031 56048\n8941 62776\n4654 51670\n35609 51014\n1509 92063\n28083 99175\n66804 93842\n28700 97978\n3249 42942\n35624 70982\n89866 90576\n65002 83734\n8828 62650\n32705 62343\n30984 41200\n39829 97883\n20512 44125\n21399 33704\n18565 55852\n13131 74584\n275 31501\n22678 44828\n35074 45991\n12622 87812\n10349 20648\n7506 13962\n72682 79439\n6769 97036\n51534 88466\n9216 67641\n49394 66085\n2207 45339\n1924 15805\n69837 80096\n36624 48329\n14406 37230\n76762 84755\n34368 82347\n33975 67921\n20615 56932\n18987 74934\n28091 34925\n19088 83183\n15298 99513\n19629 75752\n5586 23017\n68866 75487\n5392 96738\n41949 96566\n48656 81191\n2949 15758\n49708 52770\n56966 84123\n28887 98315\n17240 62473\n26020 34860\n18463 50031\n29826 95576\n77535 98893\n7010 74115\n2135 76022\n1431 20501\n7860 63829\n59282 98884\n484 76196\n47250 61558\n67923 79933\n36402 83627\n57464 71951\n40296 41083\n8678 31199\n25831 61790\n8215 28446\n10733 70742\n26503 85660\n3221 27911\n29544 75322\n47517 69282\n52313 69669\n19073 51789\n4264 71368\n35503 47949\n17794 75906\n14303 15111\n30544 64334\n24263 30446\n5308 34794\n27753 51797\n29866 36792\n16118 31595\n9041 33668\n51175 60289\n72363 87102\n51052 65907\n10621 39821\n36781 80304\n44927 77484\n45687 98770\n37357 50634\n23033 48867\n5132 70327\n6060 43766\n2118 68402\n29388 92568\n65315 98011\n17624 45404\n18882 55188\n25692 51366\n8589 85835\n6230 28199\n14350 41674\n19360 77429\n40303 83566\n2619 7862\n47448 93429\n2562 16346\n73311 96999\n52684 94951\n14216 19197\n4623 40010\n37980 60426\n67714 89484\n44694 97840\n38555 96472\n22465 70688\n10094 68448\n3739 88373\n43545 85216\n53710 87306\n33241 37360\n72868 76946\n69538 97558\n79832 96955\n12678 28184\n43674 92689\n28810 50776\n40834 68890\n58304 78451\n46845 83376\n13001 13145\n27533 60320\n2285 24872\n32767 45706\n12356 24222\n25768 26618\n19477 48107\n42167 88896\n45764 73098\n54186 95258\n10605 50623\n34593 78926\n47471 87462\n24545 80574\n48799 51161\n67192 96922\n63713 98762\n4521 34914\n69511 71132\n2421 52454\n15781 44355\n16680 38948\n3668 41994\n14351 15821\n51386 95501\n71378 82342\n7536 13336\n20453 96564\n13748 37591\n10932 51313\n37403 59530\n16046 74394\n39572 42847\n58727 59411\n19350 38160\n24898 95462\n12515 90474\n41840 42133\n12779 70628\n30655 69132\n3394 43615\n16815 38826\n5086 94912\n1891 81324\n41757 43667\n31180 83182\n83422 90357\n29855 65610\n5629 66107\n9936 57400\n34538 58573\n58235 94402\n46593 68087\n16145 71428\n34430 51167\n14944 27373\n17684 74081\n71207 97750\n17342 35139\n23112 52497\n24407 84166\n82362 97555\n38952 86969\n20509 97684\n96467 99377\n75934 78471\n30844 71514\n24782 55594\n36327 54329\n29616 39672\n248 88064\n18417 49251\n7225 99197\n56620 87715\n23491 73113\n66089 88501\n32270 81172\n819 8172\n73357 95705\n40067 42813\n4648 18036\n7051 34201\n1960 13989\n11026 27595\n15864 43185\n53537 66734\n33839 42318\n62471 92827\n61111 86103\n17299 63249\n75313 96652\n13923 63831\n69578 82312\n13655 53753\n60872 77628\n52798 58600\n10823 80850\n35653 91799\n14902 67546\n48468 58036\n13728 91215\n25054 70898\n76411 81255\n8200 92489\n13956 50073\n42301 76164\n59767 63393\n49393 61909\n51284 61304\n20229 76017\n1347 76051\n37608 94579\n47398 98555\n16224 80694\n45349 72630\n42898 87470\n34658 38737\n3375 47932\n1897 36854\n31550 69583\n40870 94115\n49804 55687\n49004 87660\n34858 47866\n6720 87164\n19965 69126\n18212 24759\n53028 89165\n21780 84695\n2276 68480\n14084 37400\n8294 45009\n28694 98119\n411 42473\n19784 31326\n37674 86012\n33181 66014\n82607 94070\n18957 96906\n46583 74735\n70857 74024\n93066 97326\n27302 72945\n19996 50989\n16413 53690\n15252 49861\n35285 65275\n17905 75712\n828 10457\n48037 95207\n30582 30940\n38672 77737\n42375 71044\n19225 70958\n30181 67042\n63120 63335\n8025 29734\n52634 85459\n11381 55465\n32578 75464\n13930 92291\n47509 79582\n56872 90491\n56594 70102\n56688 66734\n18595 69287\n32055 61401\n34954 57712\n37752 59842\n19207 48890\n90739 94117\n21732 44992\n10901 94270\n70356 86900\n46084 84152\n60244 86259\n9487 97279\n43474 64362\n4832 88000\n30436 91539\n15878 85803\n55467 87408\n10765 38183\n47793 64331\n21113 46023\n30482 63819\n15933 19302\n44605 47607\n19174 79365\n32010 77664\n54820 58257\n44204 81867\n23999 77563\n52661 81016\n10979 25272\n52222 68179\n86304 86915\n27351 38519\n28752 81382\n36259 47059\n46026 93212\n68968 79863\n41843 60675\n12482 35914\n12155 17949\n2891 2961\n49586 70698\n23398 41987\n33282 77168\n82281 82673\n19782 42323\n19861 36668\n33479 65340\n27919 68285\n54267 73508\n59433 82154\n52244 79075\n16858 41359\n15076 87214\n20850 80871\n406 34237\n12897 79637\n41535 48265\n68731 81367\n5299 44790\n49622 99917\n82444 87852\n9357 19589\n18744 77064\n22128 86346\n17257 42540\n6875 52646\n73882 77155\n29812 57802\n43734 93736\n26044 69942\n71270 97473\n24339 75385\n10089 56827\n8376 64691\n19345 67504\n44951 82448\n35689 73115\n13922 47599\n33990 63027\n19563 47724\n6042 73838\n45374 52114\n10312 99416\n74969 89766\n19843 49568\n48756 80349\n65600 79951\n2079 50255\n16307 26346\n64666 70470\n18991 49795\n11988 80270\n562 81920\n41882 62098\n33520 52122\n46087 65589\n44577 95821\n15861 78925\n398 62206\n33579 45358\n64926 87354\n37543 96668\n66615 69963\n17543 86163\n31706 87993\n10769 75437\n38000 76836\n13792 22912\n11822 54749\n43450 68284\n17802 42957\n37456 79041\n49520 56273\n15444 56754\n19544 72012\n12140 89950\n32299 45398\n4727 76151\n5139 93553\n52124 60978\n79112 94415\n32928 50691\n8681 56770\n56431 79097\n43410 53394\n13147 59516\n12427 17246\n84735 92943\n73391 87303\n64690 66726\n23853 29252\n5922 65265\n2996 22196\n14719 75631\n32577 96351\n6598 86613\n21045 53998\n23642 68956\n29956 96652\n75789 83867\n6107 94508\n18379 95834\n68840 69653\n11333 41526\n12970 90635\n7307 55470\n19899 58358\n4706 54009\n50593 91513\n18915 92977\n964 28688\n66249 90146\n53174 77010\n10458 69702\n64462 80291\n15525 35552\n60737 69934\n1325 94583\n55180 94488\n78844 98812\n23221 71567\n17356 30046\n32484 47591\n2282 73432\n21248 39912\n5121 36463\n44898 97563\n59443 98382\n2410 47179\n11930 32001\n21240 40697\n45668 81399\n8428 30335\n52875 53797\n52912 75898\n36938 64628\n27934 82268\n24292 25501\n48323 55340\n66612 86933\n8887 36574\n29306 71537\n9840 40049\n80552 87704\n4132 94813\n82665 97211\n29846 33324\n75503 82868\n2087 37968\n47102 54259\n36660 91951\n19527 25837\n53853 56085\n8873 47219\n21965 49867\n1668 20178\n24981 34337\n47991 54347\n30735 92789\n22530 59871\n34390 68085\n30004 84040\n19836 27839\n68354 77795\n16731 80222\n60054 80453\n43251 47501\n24746 44011\n32352 91389\n953 88975\n31000 77265\n8774 22161\n57520 84524\n61452 65887\n31964 96057\n64640 66185\n35894 45931\n23022 23559\n9808 29381\n44864 82497\n68977 90778\n9804 91912\n74149 77160\n10369 39010\n34433 78812\n22038 22556\n20044 88658\n7246 69393\n6328 44115\n61533 81765\n13686 36380\n8523 9225\n61434 81183\n16997 71964\n2210 75995\n46917 97566\n36643 98969\n18987 59459\n5865 44853\n21293 41623\n34640 65231\n12980 35712\n14325 29137\n55010 62075\n18469 98563\n18266 45709\n84105 92689\n24835 94455\n16139 45998\n34332 65701\n17272 49734\n3259 70802\n74144 77620\n1614 18037\n35168 41735\n74178 82407\n40402 75253\n33523 47298\n47419 95500\n13958 64788\n66960 97908\n1358 26148\n22857 35594\n87878 99695\n24224 40636\n68456 88614\n38851 81318\n61517 65390\n43378 67074\n26229 44663\n17356 60145\n63339 68669\n4521 29662\n42432 54817\n16276 46541\n65463 72198\n13583 50654\n9292 30905\n53051 80682\n112 82872\n87140 92997\n90586 98602\n18281 70072\n69940 89141\n27212 89782\n7230 63330\n35933 83264\n4671 21828\n39637 81754\n7683 58465\n24074 42926\n92696 93067\n34150 55679\n36871 67344\n21092 68846\n11001 49406\n33702 42773\n10899 39525\n14848 41792\n30222 59644\n4569 8440\n45854 63366\n82772 98911\n40085 47663\n39883 69504\n368 69952\n19898 40401\n20905 48686\n27994 32523\n55026 61792\n40238 81356\n22310 68094\n24413 90475\n41495 65731\n3536 86393\n54485 78064\n79446 83361\n12226 91867\n47970 53068\n43535 45051\n21784 52060\n40731 92372\n14821 37381\n88073 98981\n58415 63432\n12848 37826\n34695 86484\n33301 91025\n388 81213\n61330 77226\n11709 25332\n39994 63896\n57402 91073\n25949 83140\n34666 49284\n27445 57014\n91642 92688\n45491 80703\n28948 62469\n28638 60522\n4624 9587\n5046 75323\n35333 86887\n20833 67886\n4479 88679\n55347 59919\n35099 94819\n21674 74073\n812 88236\n13395 13443\n3311 94435\n30421 60781\n44186 71880\n7088 36169\n52095 62918\n12605 26428\n3661 36477\n36630 77018\n15683 53862\n826 18231\n32776 39504\n23579 32604\n34380 53329\n70451 87792\n55346 89586\n44196 84112\n28032 78732\n13983 71081\n47179 68819\n13407 40964\n76832 96689\n17230 41744\n23008 54252\n3956 53913\n84843 86632\n14556 81089\n53035 62374\n7241 87396\n11531 64734\n2335 64320\n89381 92960\n34270 82519\n13599 23371\n68152 95593\n4041 31483\n35422 42489\n45169 49262\n32330 91183\n24969 39280\n10100 88196\n46689 76269\n36369 97376\n15064 68078\n53145 61065\n16421 37433\n76590 97041\n4127 58566\n2560 48190\n28172 74607\n29090 65661\n76516 81290\n5842 14860\n15532 19444\n83550 92321\n54512 60296\n22483 38723\n70274 87138\n13148 35742\n48288 94828\n2519 88522\n4108 49842\n62797 93473\n4911 30883\n6667 16528\n47906 73293\n27211 51335\n26524 93832\n33509 66987\n3448 95659\n36628 92510\n24270 58744\n7715 46536\n81510 81734\n3826 62323\n46420 60727\n18336 90741\n44247 61118\n3252 84145\n12975 49598\n3641 53822\n33178 91924\n18020 93212\n35122 43712\n17357 98343\n45597 85837\n27972 98909\n222 33112\n76552 83658\n14447 40784\n87873 94564\n17776 35219\n43121 86685\n17403 72870\n49930 50954\n4647 14812\n85703 98395\n32054 60579\n47559 66344\n77670 94301\n68803 87461\n49222 99542\n73698 91917\n9604 55294\n54361 71800\n36425 55979\n29955 71929\n41008 94756\n19691 74072\n12222 20101\n2067 99184\n3234 51787\n19376 29771\n18332 49584\n10578 88350\n74235 94747\n25659 61739\n6958 89071\n15019 97628\n45106 83798\n10823 58545\n69272 83591\n29361 80645\n53141 86623\n49727 66800\n59557 91309\n59600 81407\n50950 76324\n1377 96769\n42232 76279\n15552 92561\n18911 65324\n16023 82268\n1052 44187\n80668 90174\n68195 81120\n2680 13981\n33984 97251\n7742 70409\n13159 40415\n17033 26079\n45083 72480\n32017 36794\n20409 73919\n71610 87721\n4836 65439\n39942 71955\n12665 21278\n27844 69978\n25309 42937\n27480 89579\n21718 67554\n54526 98025\n13771 36985\n2396 91513\n52068 64798\n19441 76213\n32976 49117\n89750 94628\n48526 52329\n15045 67712\n12938 99292\n78529 78754\n55784 70867\n53446 82816\n33288 93714\n2175 59996\n78744 99689\n51739 67190\n63216 80882\n24203 82554\n20626 92634\n38965 55065\n30997 37923\n19200 96338\n35439 81641\n52573 97605\n14748 36085\n11212 85763\n65582 70467\n20498 77773\n68902 70715\n15071 70705\n35140 90170\n47915 54334\n24994 83974\n6065 53828\n1835 13449\n10705 52603\n9823 72212\n31994 34298\n39156 79622\n3126 99694\n86926 93948\n25835 95025\n25543 48681\n4865 92600\n1586 90975\n45967 84201\n28953 62705\n10702 57308\n15232 69985\n7368 97337\n7868 8638\n28467 87139\n30949 37585\n19614 74355\n15251 95532\n7364 33701\n43908 74406\n30568 51674\n1809 64400\n53898 86728\n63270 86997\n19218 34285\n75058 94049\n37241 41330\n20245 38368\n55443 94005\n4181 56639\n48736 73998\n19745 91551\n17216 80587\n10041 47991\n44147 77489\n42730 60330\n17269 31364\n46148 57412\n23848 79403\n1902 53611\n86656 88613\n10634 11381\n33120 81236\n15644 20326\n45955 62673\n2632 33206\n70646 89066\n10761 53296\n46698 48913\n18555 19935\n14393 69731\n1976 38745\n9026 87357\n18230 46320\n32607 36418\n30777 48922\n11 27575\n55069 64173\n15646 42200\n88631 93857\n50066 59003\n35263 97283\n25899 65581\n19293 64889\n76495 88203\n36168 88405\n441 30192\n58569 98860\n75889 98904\n18482 77907\n40758 72913\n56611 70538\n10572 75394\n44205 64163\n10247 72830\n7608 76942\n18196 87491\n41778 48331\n54397 71978\n39893 41989\n35525 49580\n15677 98383\n5553 90409\n45071 90199\n1219 3652\n33360 67645\n77106 92091\n35061 46446\n419 67123\n41497 79633\n82245 90741\n40287 52627\n14744 87897\n9629 61519\n57963 60189\n85449 95656\n46658 56982\n26546 88337\n31222 62056\n17837 45239\n90223 96395\n25463 75709\n97390 99828\n6915 67476\n22667 42786\n48334 92170\n10640 46388\n54495 93661\n72434 74729\n23185 68052\n5774 54725\n9778 32647\n11987 69460\n40001 84684\n40319 76429\n25279 29836\n20563 35217\n15240 76775\n9207 37311\n29987 99372\n381 27866\n17071 38178\n58710 94029\n3548 90801\n21966 93008\n92143 98434\n69773 85313\n27152 95515\n10667 58915\n31040 78097\n71862 87155\n5011 43748\n74203 96827\n31186 60867\n60900 80444\n4862 24506\n12070 39073\n1477 29152\n5955 51833\n13520 48417\n21745 40626\n25847 30791\n79715 92274\n42599 61929\n65313 79274\n298 94125\n10728 38760\n48245 87839\n78583 98785\n28178 38357\n41375 59908\n16051 42604\n15371 76113\n55988 95702\n82783 91473\n21622 25281\n64301 86336\n28939 76303\n74928 81097\n23242 74811\n28396 29464\n31924 37600\n415 47255\n30809 49369\n55551 76903\n76513 83499\n22238 52652\n61848 69712\n4356 52687\n75878 79898\n76155 77107\n42485 48709\n43854 58658\n15053 66063\n26728 93541\n30725 70890\n31771 63557\n75501 92992\n44374 55538\n54656 91310\n18035 88375\n16591 88581\n87261 91846\n2744 73013\n31877 58092\n25547 27625\n17226 76574\n14836 48928\n72850 83476\n45514 77030\n30852 61745\n78140 81070\n73507 95498\n23964 24905\n27478 40946\n4176 24478\n16491 51390\n33705 36817\n62 62927\n14731 20886\n4070 57417\n12944 73827\n126 39127\n62431 65555\n54135 58944\n18246 46458\n69362 77602\n1158 68683\n4632 15617\n77223 83059\n36945 50296\n7775 62652\n46816 54277\n23701 27707\n56296 87369\n31015 50784\n77 62108\n43170 57311\n20724 48672\n78178 81491\n76400 91786\n16892 95748\n38522 59244\n65071 81463\n5830 12925\n19126 40841\n55025 59071\n93672 95002\n42368 64613\n11836 98816\n71240 84434\n34109 56429\n8760 99482\n43407 76335\n82830 85609\n36034 42358\n9371 90474\n52032 53023\n58128 68911\n63324 83331\n67162 88539\n20895 26659\n9296 52148\n63390 70949\n11924 98529\n68063 81262\n25897 83293\n7133 52209\n29732 64805\n16507 57254\n31972 47535\n33238 81368\n3278 60044\n73560 79096\n28056 30417\n38753 40616\n19987 67479\n34809 85148\n33432 39645\n2234 88246\n77452 94028\n65818 89249\n31478 71171\n3269 64638\n53500 93712\n56991 77909\n56928 97436\n91054 99810\n50211 88284\n7476 13376\n35905 58960\n25589 65726\n21662 43765\n75429 99023\n23176 84133\n36563 71458\n57708 75951\n65734 89086\n28206 99812\n8823 71500\n29300 42984\n19648 81567\n7653 52018\n31507 94564\n61762 72216\n37223 93991\n15634 69496\n46572 94508\n41160 73406\n15760 37513\n32359 96276\n32716 66021\n39167 39751\n7930 61963\n11712 17619\n71372 94352\n626 21708\n52804 82111\n65109 86313\n35031 89103\n16469 44298\n16997 43642\n14012 67665\n11514 18681\n62607 66831\n78521 90406\n1468 28226\n50407 96953\n5254 75947\n4808 56563\n10120 51619\n65602 82080\n7540 13803\n75295 85463\n82377 91863\n89228 93777\n9655 11937\n28340 30788\n25846 40952\n3625 64051\n1843 26608\n8203 27716\n35743 95772\n78287 99565\n69854 98974\n91636 95118\n44458 71484\n31940 65568\n44287 50301\n53399 83741\n20076 30223\n8393 21532\n13212 31044\n31783 87945\n88258 98094\n56566 80158\n74341 76177\n42465 60925\n17628 22113\n92444 98614\n59629 64713\n3391 34002\n13572 33904\n70867 74672\n48090 70287\n11621 92063\n37614 82244\n19262 61308\n50479 66811\n87407 95268\n57178 98699\n5246 93050\n22716 56216\n21892 40819\n63932 65425\n1912 54329\n15000 36900\n74238 93926\n16841 50979\n53752 89739\n22540 97478\n35430 43272\n50425 50999\n26045 42732\n53717 87897\n81289 95586\n15392 33122\n49437 71677\n13367 32190\n2819 91317\n373 28414\n16222 83859\n44429 87376\n1692 7309\n54718 99455\n13961 36647\n25933 93734\n24988 66441\n8837 33242\n69803 81863\n19213 96981\n21794 31652\n47787 50621\n28937 71436\n27525 85033\n22598 66228\n2770 85237\n88241 94274\n49777 74871\n22145 38700\n6739 92814\n51487 76313\n13050 35696\n51942 85872\n40247 46130\n12729 70123\n8652 88466\n56496 75977\n86109 92535\n15876 54063\n5001 23193\n1465 26854\n35768 40503\n16975 93995\n9803 31600\n88386 97907\n17847 39038\n22856 85261\n32782 63731\n34661 58356\n34291 55476\n32968 39916\n6983 53513\n43551 53009\n13228 30774\n31726 54634\n7370 81862\n28272 58217\n74440 83634\n45291 70048\n24358 59629\n60572 93566\n7437 7835\n63539 87516\n67735 87492\n21929 63044\n57958 78490\n64266 81875\n35624 97756\n7574 19378\n89846 91489\n61775 62820\n39444 90784\n70538 83225\n77403 82168\n49885 56867\n93242 95113\n1623 69422\n46668 73720\n61157 79292\n30085 84711\n15673 22815\n47700 78751\n10095 15047\n72138 96345\n63424 86096\n25063 50801\n38906 46558\n8419 59604\n5380 32698\n16111 44533\n30252 62562\n51229 90231\n11769 12529\n84523 87967\n8413 94794\n91645 95993\n5535 49916\n26749 38276\n129 77621\n75932 95515\n77542 84001\n58324 96134\n46250 74439\n6884 56164\n12596 56271\n71277 91529\n54521 95659\n29789 32974\n16642 38441\n11381 67938\n69706 85630\n60879 81159\n26278 66940\n11355 41103\n38180 85142\n2602 27560\n63604 70885\n10260 78304\n25745 40617\n79615 95265\n40261 43027\n44896 89805\n2386 29378\n5767 70555\n41392 72954\n13333 21838\n50836 65359\n15565 31821\n60126 62705\n46552 57805\n44194 83328\n3712 95443\n4337 7259\n89274 95902\n44070 61707\n36573 48333\n9067 26475\n26799 38885\n61503 78022\n4964 77228\n18178 85102\n42185 89802\n2546 7114\n7782 34414\n5977 20815\n36234 98435\n32667 33217\n38436 55601\n49464 79707\n29230 64690\n96880 96917\n44747 57521\n6460 33390\n13096 69888\n51665 85512\n19382 83070\n29368 50900\n9446 53961\n35936 61997\n5323 48142\n30826 51524\n90908 98754\n68127 91432\n34568 59706\n21875 61025\n79773 99358\n2583 93167\n68999 82990\n50762 97101\n45804 73343\n2579 20588\n68065 84360\n10273 14559\n356 88900\n43241 76881\n3580 45657\n36249 74959\n7702 59182\n52749 75767\n18765 21139\n48381 96886\n21951 48987\n19359 72675\n53693 74303\n66975 80045\n32043 56692\n28168 80911\n38787 44116\n2276 36071\n46291 91111\n36231 47353\n7622 79772\n24342 85762\n60251 67785\n7643 88707\n43245 57278\n21322 75763\n18373 45174\n32419 80576\n32737 76670\n5375 22918\n14584 97613\n95357 95567\n11253 73306\n58233 80851\n15722 64766\n15962 39285\n33307 83241\n3475 97389\n15476 71223\n12763 75594\n10301 22387\n23034 30228\n376 94099\n84802 87519\n8500 70635\n21596 24295\n48901 80973\n55622 92796\n31143 57655\n33987 57529\n5754 14383\n38933 68625\n2701 11430\n69945 94383\n955 67653\n65412 71299\n52446 73328\n41163 90100\n45124 52140\n50931 58706\n20719 37086\n69979 78270\n42435 95889\n60403 74496\n17841 73599\n11371 88531\n66623 88862\n17755 73358\n447 81947\n30028 91404\n13676 84522\n6789 30479\n26356 87859\n72784 90121\n20156 26367\n60707 83404\n55501 95969\n18656 34287\n13204 80094\n43418 87197\n28709 32386\n1383 65814\n23288 49827\n49769 53310\n49140 56849\n18776 77005\n46538 60638\n2296 41686\n12332 49934\n9235 48391\n17091 56591\n30495 48751\n47090 99063\n19142 42906\n72966 96241\n49626 91583\n34807 68306\n30171 47101\n32172 82804\n28139 36903\n60406 75726\n58513 65003\n56246 79364\n49363 88884\n5797 31739\n3646 4869\n72469 93077\n69333 98059\n16427 41354\n66425 68866\n13723 71544\n73279 99348\n62627 92789\n38136 40174\n87557 95303\n8525 61747\n46194 79798\n55612 76755\n92803 93470\n44444 49436\n46481 91038\n33011 83386\n9214 60849\n74114 91455\n2345 54092\n1930 70867\n43121 46704\n47443 71937\n5103 29557\n2912 48977\n52966 54617\n43417 97469\n4313 95928\n24740 67424\n16176 79709\n28522 96571\n14207 89425\n56478 98685\n1993 19830\n73069 93616\n40898 93149\n14217 24077\n32419 84812\n22366 94095\n10462 76892\n93000 94393\n55669 57912\n1491 68385\n4514 58217\n16184 59730\n63496 92126\n2405 6309\n12435 44728\n16620 40148\n39682 41004\n17626 28385\n29997 81231\n10127 70493\n6117 57309\n50151 58856\n48858 64966\n23880 44387\n36673 62528\n7112 48581\n24590 33597\n20870 36518\n31976 78414\n45172 87952\n51866 63338\n11753 64210\n49482 84794\n22855 95253\n10976 23586\n39830 42324\n16584 55544\n38793 51888\n54953 93931\n61177 92048\n77678 91468\n1582 11250\n17335 60071\n17930 71420\n37290 37468\n2981 61941\n45893 75745\n25417 30531\n26622 83114\n19482 70878\n30550 90378\n55884 74275\n49352 77051\n64458 81541\n60369 78558\n63411 65464\n48725 69043\n56635 59022\n20299 57728\n6280 31625\n49034 59323\n26030 36785\n27989 84612\n34407 55568\n15023 75442\n16872 36610\n4137 94673\n21988 62066\n2721 97879\n1846 29048\n13930 74216\n59809 89712\n24854 61537\n37260 41085\n54291 75823\n4490 15291\n37583 85313\n32617 77621\n15742 99943\n67910 70140\n1713 60276\n19209 49428\n66619 93310\n15128 20208\n34167 50375\n5236 28446\n72282 74832\n81381 94631\n40908 67322\n76712 77026\n832 53580\n7132 50658\n20522 88998\n25950 85540\n73129 93770\n50868 66056\n58795 68843\n41318 63872\n71222 74465\n17084 96614\n52970 96617\n7678 41952\n75972 87071\n7185 39848\n15768 26858\n47697 98337\n2327 75676\n6924 69229\n39640 86129\n18475 46077\n87487 97432\n34354 60200\n9866 33426\n14793 20224\n62749 64524\n61835 73704\n86171 98191\n47277 48825\n76058 76071\n17237 94805\n88882 89440\n58497 84850\n57055 58625\n5706 12682\n49962 86639\n59400 86821\n41022 50058\n9785 55282\n66610 92280\n29962 47138\n14142 60574\n8471 29962\n80584 95401\n16863 85478\n17489 81808\n9524 53258\n27717 82686\n3466 84428\n28962 87789\n57249 71713\n23739 87608\n3083 98679\n62662 93932\n14550 64045\n24041 46709\n4332 29895\n77820 94050\n35585 70665\n7410 30951\n6452 94276\n25778 99984\n79375 83027\n1250 30613\n51175 82391\n7083 12642\n25228 39827\n86107 92841\n8518 25105\n33032 40289\n51049 52191\n35716 69261\n54320 93002\n33442 74908\n9962 45649\n12627 87478\n65871 74125\n54236 89445\n70470 82349\n30010 54659\n5004 10220\n49786 99075\n55306 64373\n71376 75324\n77961 95273\n5287 94557\n11731 96653\n6839 40771\n1706 87884\n12859 63357\n30668 86449\n84394 94823\n3999 11390\n60467 79965\n62620 79617\n43004 92672\n45669 94367\n5841 93337\n2626 33094\n23804 81979\n4620 23164\n39679 95893\n24382 64581\n10704 24884\n57766 61480\n25133 69121\n52996 86934\n70898 79475\n4060 44722\n86874 88809\n64388 76696\n12356 59967\n35424 39450\n50840 61619\n2502 67798\n11174 26243\n24817 96967\n6204 83123\n13685 91154\n2147 42280\n8570 50967\n8865 75118\n17621 78620\n34145 97190\n28320 62965\n24971 98171\n8557 33103\n44347 87128\n96850 98195\n34522 73816\n57109 61347\n68835 87513\n11673 25862\n15227 73414\n81731 94334\n51034 69628\n23619 25703\n25075 56285\n23777 29236\n7820 14941\n8873 63605\n26305 43686\n9614 37612\n15409 59340\n31720 99041\n69944 92807\n3378 81259\n21493 38191\n15240 19492\n27284 76039\n82723 94037\n17926 37046\n26425 30109\n2441 10535\n65851 97174\n73461 88293\n25864 99704\n3392 11920\n9892 73741\n18425 40164\n27641 92482\n24500 49725\n64470 78489\n35906 70128\n47598 89749\n2185 58405\n3436 10643\n72113 93172\n10540 94722\n34761 99302\n73554 90426\n38829 94453\n15104 85361\n5195 89711\n74406 94779\n21088 23370\n18551 86257\n43131 60294\n38297 51681\n88240 98459\n3788 94480\n1495 24404\n69044 84665\n41621 97927\n2799 40601\n59822 67298\n17182 83554\n56754 88573\n6480 43788\n421 16885\n47893 60438\n37463 55965\n53386 81818\n1091 28574\n21734 61012\n36711 49250\n9499 16653\n35712 37681\n17536 18845\n63 9471\n26924 81481\n49358 95141\n77083 87887\n53696 97084\n11256 40207\n54645 96754\n35470 88866\n78757 96959\n4439 33401\n64695 65080\n49582 70699\n42530 82940\n1249 6080\n35433 77749\n21505 81254\n28938 66213\n25538 83185\n10352 92030\n7098 14359\n42316 52632\n5853 10560\n51854 60097\n5059 76025\n44593 93707\n63392 83037\n637 15087\n46630 88746\n13015 31682\n7640 30554\n22048 95165\n44240 86595\n25861 32515\n38321 89067\n54630 77417\n450 592\n16421 70134\n37201 58777\n7642 12995\n48082 61955\n15470 82995\n29365 83260\n74581 81574\n15019 79597\n62448 69572\n2065 39771\n9648 61515\n30248 92652\n3937 76460\n2537 73361\n17653 43355\n9966 54069\n27013 57836\n66866 79402\n12110 40963\n22348 60348\n58869 65379\n77864 97238\n52767 76412\n19825 49538\n6533 82238\n12192 17272\n9775 69873\n26915 58409\n14008 60901\n543 1271\n11110 53305\n59829 72425\n9987 84025\n79025 94629\n16266 84022\n16945 91969\n26818 39029\n5785 71497\n22582 84917\n1914 3049\n23283 71118\n37082 91810\n52579 58164\n45853 97823\n5057 90369\n21713 86808\n6118 27160\n39103 71362\n81251 86083\n20778 85357\n34016 94496\n9713 88248\n52716 83652\n67498 70880\n59299 67920\n37451 52986\n28116 98670\n61884 82962\n63605 89275\n27601 66682\n1806 7873\n47904 76012\n86075 96235\n7280 67119\n89815 94802\n60714 93621\n10057 84174\n26165 54937\n40490 79634\n40605 98074\n91977 92223\n15316 37915\n61241 99219\n5967 15218\n14589 82999\n17018 26495\n11135 13751\n20951 43071\n8555 66338\n8165 24825\n87233 94993\n11070 42457\n25163 42245\n41270 54334\n59620 69776\n10242 42636\n16662 37508\n23710 55281\n76008 96159\n48909 71393\n3583 92426\n71451 80271\n1909 18098\n26602 55645\n52445 83739\n4971 96237\n1164 25584\n11498 61209\n50463 82030\n40335 97100\n64071 81709\n31368 75000\n1198 14627\n11882 71719\n45019 88940\n12483 42021\n8130 54962\n27722 86218\n16386 25272\n39357 60679\n1954 30936\n7034 31867\n15253 65836\n26764 31312\n61173 79096\n14292 51898\n54515 87561\n26585 31419\n23552 49572\n43376 61114\n6335 81429\n8150 51010\n35251 94678\n33846 79324\n20343 26813\n13846 94011\n3268 41836\n19556 92190\n16140 61698\n66003 66948\n43925 67653\n44974 77212\n28630 68820\n59693 88683\n51108 67164\n60028 69104\n1577 87870\n24062 78721\n12425 69048\n44203 81241\n24672 87006\n67396 71812\n8848 18913\n6596 21465\n24323 50338\n85898 94558\n23365 63840\n5347 36001\n39374 54312\n75896 77804\n19194 93718\n20706 68478\n23564 46254\n8397 86303\n40182 82735\n18693 73758\n63870 84964\n19908 75803\n37600 80420\n3808 34563\n65914 80197\n35207 82103\n94520 94830\n30096 68797\n27875 48004\n412 4433\n9818 84207\n30293 72313\n12233 58185\n9694 63965\n20477 26208\n49244 67455\n62374 93658\n43105 43173\n28037 29539\n33277 95346\n28402 44637\n25827 44642\n37125 63338\n21948 79479\n24821 84626\n5000 19209\n70931 85618\n26253 33325\n44632 78080\n43546 79601\n29710 45698\n81682 96245\n41994 65085\n14052 91854\n25606 68331\n62231 69754\n2729 82738\n49006 97209\n22287 50841\n19733 79297\n52195 79292\n24218 44184\n55008 61174\n9881 69259\n2062 20092\n13948 54627\n11839 80135\n54255 83059\n30974 33850\n17459 95916\n52508 96552\n2565 46136\n6803 97967\n18139 55319\n21900 53377\n56505 90994\n51825 71482\n3131 47653\n10362 86950\n79787 87617\n68603 93261\n36642 59243\n24722 91867\n18892 68363\n34685 94296\n41380 94038\n18020 73278\n15821 80354\n41855 61221\n19114 69144\n56364 86483\n13910 17055\n24356 67143\n5694 99691\n8359 11623\n4121 88816\n2560 95743\n41598 61600\n15984 42993\n59557 99511\n49581 61699\n15658 92384\n7891 63703\n9114 46262\n29070 71134\n26805 34985\n87015 95735\n50946 93338\n79170 83166\n70765 80437\n1551 86040\n555 2150\n25533 92102\n420 26949\n3578 68273\n6370 10425\n842 24283\n28022 94662\n32162 77789\n3883 38491\n3487 67736\n17448 99859\n5991 81807\n44577 66553\n31206 84090\n69245 85132\n16870 79934\n2070 82662\n7754 79940\n25767 51689\n96090 99107\n12377 44887\n16237 22393\n38359 99807\n2766 36458\n58962 85631\n2138 43237\n31044 37648\n30944 55844\n49262 97214\n46651 84612\n11200 41753\n2239 12010\n11914 31340\n4622 87659\n38794 61715\n46153 66287\n16784 94884\n7358 37203\n2706 76368\n51784 69188\n29330 92888\n50475 63054\n13660 96650\n76977 96000\n371 25841\n21278 41047\n43457 90708\n48875 88706\n15248 47491\n56324 93980\n58662 96507\n15421 56204\n26841 27932\n36816 43544\n25829 57598\n81221 96541\n15357 18931\n26166 73889\n14389 83154\n225 51612\n6393 19405\n22664 46798\n42769 71343\n36727 60289\n41838 62237\n54330 66446\n65526 85775\n1983 96179\n22832 72565\n23215 24128\n46461 64380\n72831 84873\n8233 17294\n19717 93059\n12081 40898\n36025 99781\n219 69828\n49249 88371\n59226 99288\n15971 35521\n41556 62318\n83634 97643\n16058 86337\n97771 99605\n37537 66114\n73612 97123\n65431 70542\n54228 73026\n85202 89384\n8896 36570\n4464 88580\n922 81078\n796 9001\n14829 29717\n78161 98269\n40271 48516\n53761 61315\n40010 74530\n58137 59659\n26318 63201\n77108 94967\n53108 90830\n7829 58520\n18601 76275\n4584 73173\n86474 89814\n17277 32168\n19589 37727\n43233 95359\n1463 40627\n13595 26403\n28507 41099\n28006 94740\n45479 94490\n3209 27337\n54728 70071\n78933 96760\n36184 78602\n9517 54341\n44687 67583\n26282 95891\n17800 71754\n49879 76520\n22429 45132\n2887 6920\n23352 57885\n48337 86412\n79692 95137\n24223 83148\n20928 72261\n7588 23796\n8876 98956\n6173 66314\n55186 68472\n14136 77602\n17487 68274\n21360 88678\n21730 72737\n9347 53458\n26222 77303\n17898 90109\n12676 15391\n19302 59974\n16772 85283\n9147 53061\n2143 3683\n76616 77196\n12071 59584\n13914 28355\n18768 84577\n31798 95727\n8042 55590\n43353 87890\n13825 45835\n17886 78376\n1865 4311\n6442 10231\n31284 58926\n33536 51411\n15965 68369\n64838 74161\n19336 26873\n26080 57279\n51770 71170\n59081 76021\n10385 47485\n9445 43132\n5512 54021\n31236 90015\n84479 99058\n31181 33052\n4326 34085\n4791 90213\n2552 93185\n2686 83636\n14499 93722\n37760 86831\n42452 47985\n81657 88457\n670 31805\n16412 92079\n25397 46005\n51300 72582\n15829 27251\n20361 79969\n13854 32433\n35471 76486\n2222 83326\n56773 67798\n66993 87757\n6931 99907\n58651 60155\n27113 77797\n32134 80601\n2679 82103\n38604 38629\n12221 59417\n8267 39123\n37469 57669\n2549 90937\n44062 59909\n8352 34789\n31472 82909\n71221 83255\n2545 12647\n11068 91502\n64277 76644\n1627 66450\n18575 62553\n36714 69975\n14515 75027\n50038 70332\n36146 66125\n54369 91394\n31384 45954\n20504 58310\n55254 66583\n18569 87470\n45881 73905\n47791 75937\n15812 65573\n59121 60353\n62720 91598\n91132 99158\n10610 46132\n67052 94917\n8628 36117\n1477 63835\n37331 44298\n78116 95513\n646 75098\n3467 6274\n2837 3834\n48280 66101\n13567 61826\n11360 15352\n14370 75611\n4202 55876\n53621 74609\n17102 32510\n37790 84300\n9349 46439\n34880 72913\n11702 94855\n20765 46445\n7277 57821\n57531 78690\n26636 73607\n12574 20837\n3968 63544\n31348 76394\n41618 56273\n1650 56289\n34022 82653\n65160 73291\n35973 65019\n30077 69597\n27938 86569\n35691 83824\n7184 30572\n64149 97559\n68114 80052\n3547 47385\n41870 64819\n76132 93308\n11503 18024\n48077 84662\n42092 79102\n810 53272\n45830 80606\n18833 64618\n83839 90296\n7874 78366\n37670 61612\n39627 61279\n77971 94994\n53626 77834\n39310 48438\n17788 57804\n75084 82716\n4127 88082\n71477 92698\n7530 52569\n31873 96857\n1690 77124\n3080 52999\n25886 74128\n72108 93370\n59100 61627\n32689 62420\n4087 25311\n7806 29765\n7827 12180\n44200 74149\n14625 73923\n73201 95993\n49620 84906\n2286 86498\n46632 87232\n34505 94740\n89966 98799\n67258 67741\n15016 98493\n32897 60623\n23797 69467\n27246 32509\n75028 85290\n79456 87981\n57033 61737\n1031 94593\n8288 86782\n42046 96002\n594 69461\n55641 70394\n62292 77505\n39534 48273\n51129 84030\n3644 84567\n23344 43305\n16523 31785\n38508 39615\n35339 79400\n71510 98363\n14460 20015\n27357 59166\n16731 51570\n46765 84648\n18782 90729\n24194 51569\n15797 97606\n1920 31933\n74885 83358\n33700 77648\n36303 47318\n39025 57920\n4267 33744\n46912 84387\n30002 38512\n54804 95715\n14766 91543\n35751 87497\n47939 90079\n67017 95447\n79788 86673\n54797 74048\n40643 42167\n37425 70020\n15702 20614\n28591 82233\n45746 88105\n9556 65182\n64207 93500\n40086 54575\n88 63464\n16552 58800\n46578 89971\n11602 50188\n26557 74832\n28835 98279\n71987 99381\n74990 75280\n2462 39199\n51755 99980\n17494 93248\n10239 88630\n73542 93399\n35363 48821\n50595 92500\n45477 65357\n9014 34153\n61336 79228\n8117 33469\n34860 74986\n60615 61030\n71148 74667\n49952 50931\n20846 75431\n82292 84170\n1087 49441\n18909 94073\n22747 75751\n11333 12514\n7464 7534\n91346 93851\n16284 69172\n7056 50010\n29106 37638\n43354 57477\n12888 54418\n1701 24573\n87707 87736\n7721 57360\n59680 77929\n40918 86619\n26823 51627\n66861 77299\n23629 98459\n62499 92681\n41578 89168\n5955 25135\n83661 87271\n46374 79623\n1490 40145\n10670 53348\n34292 94824\n42466 51892\n42218 47717\n17854 31366\n6272 69488\n21164 82988\n22289 34847\n84864 87159\n19494 90878\n53320 96040\n3933 83710\n49044 90448\n13292 17392\n65206 80356\n5069 71740\n44096 50693\n61085 72650\n8320 49485\n37962 71420\n21308 21683\n63348 77814\n49729 55619\n36620 92054\n66272 84021\n68933 96953\n22856 50668\n25358 68698\n32775 42186\n18885 26905\n36385 69133\n10718 91885\n2078 94910\n45679 89828\n46776 96575\n6839 49475\n6337 60451\n129 63241\n49781 72818\n35621 56869\n231 31191\n7187 51198\n29949 94137\n72328 78191\n56196 70194\n43995 55323\n8694 26460\n22886 37758\n60652 71326\n15045 61819\n42584 75446\n62080 92004\n11639 23658\n86876 99750\n25886 44715\n24612 64436\n55754 65688\n76096 98947\n50244 80582\n12109 79731\n28416 88618\n45455 91687\n19434 50572\n46564 90036\n52226 77897\n25047 66644\n36684 55453\n55160 63063\n19641 57497\n20349 72565\n30713 79052\n7173 72028\n23799 35966\n65271 70933\n54933 77051\n53466 87433\n16158 19860\n33017 88317\n51794 81983\n5897 42981\n88448 92411\n1571 95381\n39180 84278\n13262 30410\n69784 91843\n10901 16305\n55003 85415\n54689 89606\n16595 98887\n40156 47918\n41793 43115\n59184 77589\n60068 63635\n1271 70811\n64603 77531\n75494 76982\n25 68587\n6428 97383\n49432 76255\n41702 46665\n872 58040\n72884 95623\n7492 28458\n28607 62260\n51640 98354\n24031 82775\n20576 83759\n3461 82860\n68976 86334\n11267 15257\n87693 92440\n28290 84265\n48191 93462\n16941 34410\n8311 72791\n39495 83065\n26197 31590\n8306 11941\n34156 75106\n24309 99433\n14002 76777\n71890 96261\n40801 67386\n38490 89796\n4615 7687\n23999 96566\n26843 42466\n43873 99298\n26939 29642\n65590 81288\n8067 44698\n18113 87091\n49444 79312\n6900 47304\n65946 93412\n56074 95954\n12869 55378\n64897 79368\n43418 49354\n18526 46243\n71254 80134\n79446 80618\n78512 87117\n28818 61656\n20291 55811\n4920 5030\n48793 79865\n30110 44939\n21574 61314\n7397 84724\n55930 96205\n240 40050\n16747 25327\n57004 86314\n35556 63555\n729 6188\n875 89714\n20674 80928\n12083 26413\n46844 96626\n16444 18817\n50253 83067\n35803 38986\n45195 90463\n37966 63030\n16586 26900\n34125 41515\n9411 96886\n21936 47861\n15053 89391\n10867 33064\n50180 76059\n24059 85306\n25819 37051\n18451 47833\n22935 75666\n2205 61852\n3889 16806\n27306 99547\n26527 53891\n6315 90100\n5613 62802\n26066 82720\n11566 87949\n51877 59121\n35391 37897\n1225 29423\n4511 93576\n41146 53742\n1273 32278\n44640 83215\n34833 91008\n46045 62246\n20056 48789\n57401 88859\n20717 95143\n37023 82579\n60728 93134\n21734 33483\n62853 85381\n46739 51482\n4631 57185\n53071 94905\n53434 80093\n31171 74964\n35390 43206\n47903 56585\n14410 18950\n46184 80743\n5955 45304\n17016 78817\n10133 69631\n65395 88395\n2077 65076\n29784 35862\n63769 90310\n58898 80874\n63425 85198\n25275 92376\n5400 58060\n24059 31653\n59513 99759\n46992 80012\n31500 65873\n11874 13162\n90493 93214\n51538 59651\n18738 89741\n20708 62886\n91984 97842\n41606 81473\n34624 87751\n13248 42099\n69474 82152\n49998 84581\n18438 81948\n66556 89722\n65388 84228\n62423 63086\n6631 89238\n65346 79008\n51069 81168\n71491 86459\n24617 93131\n59746 65836\n45270 62565\n6680 32349\n418 57602\n32630 59070\n18491 59229\n4551 35707\n24373 93925\n64997 86327\n37781 67395\n18922 64847\n13399 77898\n48117 52724\n3983 57181\n29018 38358\n59113 78889\n79690 88091\n48494 50918\n4789 97223\n781 52405\n68459 98255\n24898 60725\n12648 45042\n6667 9169\n8595 13453\n20527 33135\n3451 62926\n54052 93352\n7181 46873\n23371 99896\n40094 82033\n1285 68266\n13293 15411\n57817 86324\n56338 99764\n44361 96911\n55268 92134\n58286 80127\n78878 90236\n138 77196\n69377 71763\n12565 41790\n63668 71304\n52008 79989\n4025 65096\n60820 81232\n39167 86813\n7532 92315\n6087 34377\n55129 80902\n61601 87551\n65873 75870\n31355 89748\n24398 76837\n31812 81730\n22226 71981\n24883 32368\n18273 74748\n73604 77416\n9769 44295\n3724 29162\n46694 93645\n51428 70766\n53010 56132\n26615 35726\n56541 65820\n44302 81315\n13598 59602\n663 71790\n5403 36015\n51408 66677\n8061 11050\n26684 99656\n86015 96838\n66438 88730\n23391 39156\n64496 70029\n29736 57613\n74687 91592\n2798 68165\n6075 51043\n77817 86854\n20269 77127\n33124 78970\n49515 74347\n3164 47334\n75864 98046\n36697 52445\n26099 49728\n35396 43181\n28228 31555\n1472 51439\n59345 71664\n22953 90410\n61397 80222\n13029 25364\n40129 69851\n52891 69105\n28250 35788\n89619 90212\n4782 40941\n46455 60949\n14146 91143\n72589 96704\n29635 69705\n24774 81550\n53882 85481\n11526 45293\n15710 24228\n11058 63522\n18225 52477\n27734 86703\n26321 49008\n97078 98994\n46736 89019\n6999 55621\n21696 63695\n46003 65184\n55477 93768\n42609 82515\n3515 27354\n38805 42139\n21044 21486\n77061 86203\n59903 76888\n11795 38514\n3851 22328\n41521 54975\n7719 49907\n55437 63271\n6861 94097\n20108 60783\n1134 86738\n41464 83239\n88353 93720\n16281 74109\n1032 54153\n11120 37233\n6226 81601\n11379 21801\n54478 80408\n22311 73386\n5998 9641\n60920 76570\n37334 81437\n87595 95268\n44702 98317\n10494 48751\n40445 94250\n65059 83673\n8272 92131\n46220 83524\n11028 16957\n57099 98459\n4134 98710\n11251 35286\n1013 68876\n20786 21794\n79956 82241\n16146 96132\n50801 97081\n60870 78286\n55617 67786\n17815 86079\n27172 37149\n17902 73605\n19111 64382\n17603 37645\n70864 78903\n6535 65597\n3054 18182\n33440 43503\n3427 47640\n81982 87974\n16716 53586\n62482 75997\n39931 80194\n63856 93729\n36666 70409\n8394 45440\n53947 91092\n62382 83524\n29707 73793\n34444 91401\n44722 73755\n17129 65443\n11063 56160\n53245 95152\n16708 24057\n5415 50274\n39247 64439\n24531 78240\n52295 92147\n26186 42839\n36135 90953\n34750 47444\n22314 96536\n57259 59235\n9612 21890\n59550 76376\n48514 50754\n70561 90625\n12870 15725\n51027 70215\n58783 88836\n20689 93739\n20407 23480\n19289 67142\n19296 70825\n47538 56900\n19508 28886\n65966 87914\n2309 6335\n84480 96667\n36869 47966\n15939 23108\n79603 86533\n2260 56851\n25716 81807\n55211 97845\n4055 35319\n34045 98279\n3120 42758\n79397 99728\n53072 55395\n22932 64255\n40424 45945\n25901 63237\n39401 97084\n91592 96800\n11909 74689\n19775 51589\n19284 57059\n21566 94104\n4542 23889\n27087 55076\n39639 42747\n19048 51373\n52819 63218\n19215 60950\n21054 35105\n63323 70092\n3782 91534\n56256 65473\n30875 95161\n64862 99485\n3752 61051\n400 81966\n45408 45980\n77848 98070\n20307 32471\n43373 44748\n69246 85840\n57262 91683\n35364 76827\n1058 42880\n33068 41942\n6519 66367\n3955 72245\n24817 77155\n68445 90568\n37674 73097\n2061 61404\n89017 90166\n83522 90643\n66501 70090\n35449 60299\n4902 60759\n7482 90836\n31601 32973\n30088 93806\n49453 65402\n44451 75263\n65388 79154\n22445 37735\n22403 43134\n7491 57775\n19052 88775\n43218 48582\n58165 61136\n5079 54705\n44864 55518\n58659 60032\n54055 72538\n2843 79749\n28946 93044\n44913 76939\n59277 89004\n27487 29488\n73570 94952\n50143 72275\n84518 85316\n79283 93713\n22652 27122\n16512 89680\n22152 83306\n35811 88315\n85432 95876\n34192 72434\n8390 70043\n62941 63498\n10147 18823\n11084 61321\n39079 92057\n14832 17036\n78216 89526\n7938 45286\n63719 97756\n16351 52302\n17861 90254\n8896 75244\n11841 80707\n86715 91618\n72226 99388\n14850 71697\n15028 47803\n68814 71266\n53386 71987\n70939 75955\n34380 61178\n24785 34998\n2196 10856\n1721 70726\n49566 54469\n19083 91891\n126 64686\n63953 91795\n23874 38959\n54587 62816\n48534 68001\n56311 93490\n5328 11325\n28571 68290\n217 29319\n90496 91084\n14736 97025\n55670 74341\n31420 34277\n1566 45078\n34192 91490\n33389 78059\n80361 95061\n22367 73423\n12177 14499\n32905 55043\n21283 86117\n36104 39459\n67890 91355\n16853 69359\n60461 66269\n65792 80783\n76783 88102\n70017 82952\n67593 90721\n18944 27353\n6927 59901\n20749 29051\n30268 61710\n5216 16535\n79795 97168\n16521 22130\n40927 87815\n39583 44178\n9805 39561\n8743 37951\n24761 94295\n87990 97118\n74541 90474\n36119 62023\n9421 97584\n24624 97665\n31853 84049\n23364 76106\n70523 78001\n25912 27401\n12049 95003\n60424 95285\n25761 36799\n49904 79325\n2953 22281\n69223 97527\n63764 69159\n31907 48304\n11897 73987\n40519 75601\n48285 64297\n72192 94502\n43310 68703\n21547 72610\n35428 67937\n27151 76260\n6610 29161\n6457 56038\n49100 75955\n80706 99126\n15237 18952\n3785 89537\n12898 76208\n23291 83026\n60549 85917\n11807 43544\n85613 90377\n34786 81170\n85250 91932\n37433 88775\n4021 15448\n24280 55656\n10433 36336\n22939 63870\n27157 58755\n11539 43693\n16868 80750\n2149 89606\n19446 65126\n88475 89803\n7071 11944\n86131 87792\n49259 79012\n51713 88348\n75101 78917\n40881 63715\n26559 97680\n64140 65604\n16429 26170\n48505 88195\n4148 71709\n34453 53140\n59209 91948\n32929 35106\n22226 46513\n77017 92680\n65211 77078\n49038 53206\n26815 54519\n4009 54687\n13567 27083\n55663 90183\n40986 76919\n25056 99531\n18561 80765\n74649 75320\n40537 87455\n6026 9992\n18557 83812\n61137 93082\n6023 48414\n22033 68457\n50350 90919\n40963 59093\n68953 99740\n82530 91251\n29344 72709\n561 60994\n57858 72609\n63968 70979\n82333 91644\n41386 50133\n30141 92804\n26790 40607\n27355 62724\n28904 80610\n35968 78695\n43181 64479\n15427 27390\n7408 55689\n56889 77410\n56411 98872\n11932 45747\n48479 94631\n4753 19930\n77277 83399\n33270 43592\n39435 55324\n16370 49636\n44533 75556\n55808 71623\n15149 21158\n41025 87502\n81607 89068\n72798 98990\n58089 97498\n34157 97603\n25581 70917\n4319 54081\n29906 40188\n59265 96196\n19720 30776\n28456 83108\n78484 81186\n14351 19412\n69882 99637\n13951 50336\n36359 42807\n22946 98153\n10525 31270\n8780 51439\n71122 88478\n25381 28534\n42994 90739\n20718 58434\n60801 68019\n16348 56909\n51250 51638\n40081 97279\n4764 72004\n77171 79783\n42369 92215\n6228 56805\n67687 76023\n11235 28885\n19680 88583\n28670 93397\n20296 83865\n16420 92488\n30396 47226\n4450 17062\n40563 41579\n22981 43327\n83861 94736\n31337 94117\n1025 12838\n41754 58309\n30783 72055\n41730 71703\n38760 96730\n4381 38929\n8868 13183\n69070 93843\n17890 29882\n16130 42796\n55202 70005\n32604 84297\n16597 85602\n19398 61986\n52929 55431\n43356 83402\n42844 84218\n49968 89326\n32610 46407\n2372 61262\n46349 93005\n73080 83414\n7637 61252\n38987 60100\n33041 69427\n58190 96023\n27598 46231\n56944 66366\n30874 64743\n24148 43438\n11934 34579\n6095 13475\n65072 84189\n6768 26397\n67725 88096\n48062 73522\n16358 92172\n38249 61536\n71740 85089\n8944 92437\n68809 78675\n42599 97179\n40600 78666\n14814 98654\n91758 97429\n1778 18813\n4959 49581\n60559 72746\n25513 90297\n26869 87380\n23169 34153\n1667 53504\n52058 71808\n339 10302\n24875 70609\n15598 46048\n44816 75973\n24641 84436\n54384 77763\n31928 72441\n34044 99044\n5421 28892\n60613 90392\n37163 80333\n26125 61781\n65692 94309\n13234 73286\n8961 49993\n57357 82606\n20169 76153\n8684 76117\n27115 52728\n5057 36689\n9915 91985\n36850 46882\n37949 42204\n41894 94436\n36239 96606\n25632 80793\n29256 56880\n65956 76718\n16170 61295\n1374 21944\n40499 50053\n33318 40361\n21922 22001\n26517 31078\n44500 98558\n27466 71014\n56348 93536\n17232 98693\n21937 30178\n48571 84586\n47572 51849\n13995 59582\n45857 94098\n50083 74185\n51808 62228\n14599 69197\n13073 25810\n21488 80786\n4730 78303\n69342 81994\n7651 90016\n61130 99167\n14607 44080\n59700 82852\n3624 64487\n84882 97143\n23976 63863\n15002 35885\n10460 81966\n54445 60775\n43632 94065\n41066 72905\n12950 59207\n24186 56023\n43820 46858\n75444 89695\n42836 70170\n19020 96857\n4046 70135\n44540 58251\n41132 68906\n27557 39821\n20319 59087\n72873 93291\n94734 96231\n24035 93899\n20598 20749\n46108 75334\n17443 66853\n15601 80857\n24226 45867\n78076 90383\n3727 8494\n86933 92446\n48846 95468\n1190 26946\n20141 90557\n44621 94918\n12173 19934\n23410 68766\n46067 59726\n31370 68025\n35490 86767\n41075 71876\n79900 90193\n29731 62550\n8985 9594\n27415 59157\n80050 99945\n7157 81145\n80136 90451\n61411 94328\n90011 92828\n65710 96091\n78382 87709\n28719 74399\n54668 55074\n34914 42635\n42185 94326\n6093 87900\n4218 32310\n41725 95735\n23227 70939\n50525 73140\n23408 45562\n7067 86982\n51637 85610\n22776 89513\n26044 76164\n57001 72271\n28018 85463\n42491 75013\n3412 32734\n40686 64513\n10205 38876\n11752 56539\n40931 70794\n25338 88778\n55249 77043\n10268 47980\n3658 40625\n5636 61247\n44377 97735\n26996 98516\n7869 40643\n23176 69558\n42400 43310\n17433 18938\n38592 69451\n35191 66478\n55187 75886\n78974 96372\n9679 98550\n6796 61694\n3621 12270\n27429 58469\n10803 96071\n36316 84333\n10873 52247\n25292 51863\n78604 86708\n53654 82630\n36203 76924\n81378 86791\n25274 45327\n26702 69843\n1489 41350\n90995 96855\n8262 26362\n66429 90007\n2070 21489\n340 35381\n19402 89114\n20968 62752\n22897 60809\n22680 66975\n20701 31087\n31108 42360\n14416 75889\n45087 92645\n32902 57450\n90325 92808\n12917 54038\n63624 65213\n72731 86226\n7907 55630\n73425 92547\n45254 78178\n16996 62545\n75954 82119\n8191 37687\n17256 72281\n25022 62403\n24001 67562\n46393 72639\n32187 59558\n19809 98967\n57731 84001\n13748 21664\n90179 94879\n79417 98026\n4823 95287\n12665 38356\n40287 84980\n40858 55485\n34072 98463\n31627 35771\n22477 50920\n11820 90064\n42200 66767\n79424 97476\n19693 51350\n36530 63710\n12783 58468\n33432 96257\n70529 84426\n28131 42559\n67552 94365\n22648 54361\n30728 33430\n28196 91070\n41874 43383\n24901 72902\n13188 47289\n12607 67685\n17119 61125\n25044 70696\n2128 18222\n62825 90400\n54781 75763\n64399 77645\n1109 93638\n14774 67670\n2033 3184\n54446 59109\n45656 46816\n2251 66716\n38965 58265\n24494 77517\n43984 89905\n52941 71372\n59723 78102\n29957 93980\n38990 62767\n53651 83671\n55055 60210\n31192 96590\n21511 28025\n11711 37944\n7318 57552\n22680 80088\n17691 78077\n41442 44914\n792 37913\n43843 98544\n32403 65626\n47164 87247\n10628 11662\n42700 93170\n71077 72376\n21516 51802\n11977 51129\n48802 78560\n48597 96010\n53206 60342\n43045 64316\n75890 82065\n37512 61805\n27639 64144\n82602 92378\n5204 42235\n5877 99637\n27463 28981\n65108 87088\n4107 24869\n46392 61426\n21213 42507\n29174 34802\n14368 92062\n37934 83364\n19605 36406\n34891 82862\n44807 47267\n9442 89240\n34047 87880\n78990 79133\n37814 63064\n5291 37570\n52812 84840\n28429 36491\n30744 71576\n17863 19678\n36210 79719\n2352 69672\n13430 94869\n5742 22910\n18649 24170\n53630 84428\n18549 75520\n71940 91414\n2200 18646\n76629 95120\n4985 7122\n18515 48620\n40497 80144\n1061 80208\n23763 53054\n1902 52879\n37199 86597\n3269 61874\n4015 75106\n59447 64363\n23178 57612\n31139 37625\n27208 76945\n34693 89504\n16314 70589\n25748 88284\n30063 53417\n80211 98839\n14737 63091\n4930 60654\n52231 60710\n55227 99754\n46468 70894\n28612 35408\n1011 82672\n21025 74977\n10296 67403\n25316 79795\n38387 79419\n85478 88991\n15902 51175\n10239 58157\n76867 79242\n33519 56439\n48478 87255\n19152 71786\n94290 94568\n26292 65333\n11956 90531\n17089 64844\n17795 19251\n46752 71876\n52789 55913\n26000 38602\n23214 38934\n10961 55011\n23594 43238\n383 55045\n34641 66592\n70050 76660\n574 25110\n36404 64060\n27635 43745\n27199 28435\n58813 91303\n8687 98043\n39741 67355\n34208 97358\n14453 78119\n32819 87901\n19732 71319\n54349 73751\n31335 91289\n67512 91240\n45144 80879\n35768 36293\n10010 57590\n12524 89798\n77774 90221\n74490 95898\n17253 73060\n52854 56496\n5900 33056\n3280 92696\n59367 86990\n19436 30175\n3659 11455\n3835 6179\n25041 88999\n36655 69872\n21064 98023\n60821 83427\n37979 83754\n575 42199\n33674 69462\n68247 78004\n52412 79256\n8206 19215\n26797 79218\n17441 24045\n39337 43585\n24168 99776\n787 38042\n17970 71538\n61943 98913\n31704 36949\n18912 87692\n54467 94439\n60749 76057\n8713 40110\n48787 77224\n4464 13659\n26796 33130\n23859 93123\n50988 92079\n15748 69190\n46891 91089\n16969 51918\n2312 29515\n86079 90003\n8131 29335\n39108 97597\n11029 63345\n2462 80865\n53032 99738\n23580 66885\n22567 66609\n18797 65314\n13179 90596\n10574 74059\n34592 60206\n88117 97792\n89339 90155\n11324 43492\n1794 27110\n19620 53299\n44589 70511\n22555 61699\n39063 56692\n51826 97974\n11380 46391\n6107 91679\n23308 57719\n41082 94528\n4823 81487\n531 43919\n32587 77908\n18818 91858\n13313 69149\n41121 83053\n9312 59731\n42729 53125\n41438 44555\n29595 66458\n47675 51011\n27851 62009\n59620 93639\n6274 90559\n1087 74099\n19375 90383\n6323 13299\n46267 55373\n3554 96310\n20316 58166\n15931 45394\n24272 81815\n40892 81663\n29078 43425\n2252 49608\n27621 33661\n13670 94469\n6769 75860\n27248 33898\n42084 48436\n43941 77601\n2673 77670\n69477 87143\n52999 55438\n19916 94143\n6681 89904\n1039 72258\n8939 36083\n13466 89161\n13926 66436\n64424 65041\n73934 79500\n64488 80374\n35936 75029\n9837 29366\n14775 25826\n14726 39855\n13897 70336\n5535 98591\n2656 42056\n55466 97331\n90981 96227\n38596 82277\n70350 95813\n37201 41388\n34639 94292\n16484 73199\n23689 68299\n55892 69094\n33586 81449\n35121 92668\n85048 91547\n61981 97314\n9023 81033\n41821 73091\n33849 98368\n45022 57407\n71011 86251\n76852 80479\n24531 30447\n12667 51702\n32471 61747\n4189 9716\n53260 74107\n78484 81758\n72781 75758\n31395 78869\n65717 87421\n5156 38660\n19795 40324\n55453 76462\n24138 89296\n50614 96331\n10272 23021\n7463 94189\n18463 83619\n55108 91720\n44630 96697\n5644 6757\n17589 66736\n35973 57104\n7477 78386\n5475 47706\n16418 20722\n7047 99038\n15317 50314\n55414 92953\n59897 92260\n14914 86339\n33159 90435\n44744 65665\n33350 43313\n20062 53326\n25942 39101\n78706 88181\n38346 72381\n21459 43745\n1611 53107\n48268 85647\n8086 85153\n24657 34744\n28201 41015\n32926 48534\n34960 82014\n35190 93371\n29547 58156\n5315 31966\n45576 66547\n58646 96079\n16123 72570\n11295 60349\n67605 72029\n76070 98026\n81254 88911\n58879 68486\n57990 67248\n31282 76223\n12476 84627\n30706 42944\n45679 70736\n20353 43519\n19100 33155\n31840 46576\n10802 37102\n25702 94746\n31438 48133\n14930 61054\n15791 23911\n7718 31798\n36481 87557\n22242 31638\n37129 75372\n42045 81424\n680 94394\n764 71572\n10653 42930\n27473 54689\n3452 49990\n46830 57511\n73988 95365\n5912 55272\n49694 83884\n89345 95741\n61454 70616\n14940 84824\n26068 27423\n44176 82450\n674 75837\n26622 31084\n25057 37501\n6716 71199\n27189 92348\n40239 91459\n69373 78779\n38336 93218\n2129 23041\n21480 43312\n10528 84411\n12735 62568\n29683 80395\n415 77898\n20801 89458\n33601 82039\n48395 96499\n23906 68403\n29774 71177\n55357 69268\n6512 83992\n15174 25417\n54135 59960\n95650 97152\n12214 72998\n44835 69272\n14919 76309\n533 15645\n16709 17413\n25941 47390\n35620 71071\n46398 54118\n34439 92995\n8634 72773\n34844 81929\n5794 18648\n33631 85925\n52466 70920\n67050 89278\n25459 66237\n12416 90136\n9584 67687\n12938 81370\n86295 95012\n66956 79086\n36555 78406\n33477 71885\n56207 82713\n771 77979\n32347 91670\n345 6554\n6281 69981\n52491 57317\n53053 66903\n69696 74302\n19908 86055\n58647 82928\n21045 83298\n29276 83910\n41188 80287\n341 96474\n21877 70310\n22491 84653\n30717 83421\n91920 94646\n24403 44505\n23833 76119\n467 38037\n28970 29800\n82683 85266\n16398 81034\n76070 93747\n52884 85420\n41098 81754\n29293 45619\n32504 78330\n7378 64277\n6764 63687\n31038 39368\n53982 62482\n5651 15905\n29345 72667\n21805 51030\n89381 96957\n76936 86052\n33946 83917\n16289 28376\n19601 31071\n66653 76589\n43079 79966\n28652 53112\n43019 64626\n36308 64763\n2434 62448\n8500 43612\n53186 73384\n66666 76228\n32842 67424\n56016 63024\n72416 90051\n23466 82539\n5095 36088\n1914 95300\n53800 97663\n17 40388\n7129 57308\n1768 89303\n56991 60336\n24372 94965\n11192 49924\n13863 14992\n26902 37867\n9598 43717\n51889 69002\n65797 83624\n21505 35806\n13863 92550\n39313 96263\n32279 50495\n44522 89026\n20233 80838\n40554 84608\n48150 74698\n3999 29416\n65448 75489\n34070 86664\n38680 83816\n14855 85349\n43702 52183\n12733 14257\n6102 45729\n23374 80126\n92467 96681\n50131 67177\n40163 77812\n51207 76740\n12363 88612\n20798 43645\n26552 35589\n31139 84995\n13752 54759\n20953 47861\n7232 20756\n39327 57965\n66561 72654\n60053 95364\n10942 22536\n49224 90683\n81429 92248\n15037 36027\n54116 60886\n45078 48653\n1947 49996\n9744 73225\n4254 40620\n54480 76911\n8057 67793\n19181 31756\n35740 64754\n63059 94042\n35742 67325\n46143 59542\n20388 43370\n27806 35578\n65831 87106\n10227 67438\n391 79338\n2285 31294\n1643 97598\n46797 74851\n194 58447\n27616 39643\n45098 67004\n23608 77326\n9482 91032\n34925 79074\n32951 57676\n12783 22864\n11173 75849\n80233 84753\n17522 56064\n16985 97910\n46727 51116\n25280 68678\n32152 74964\n15969 91818\n36620 89404\n56174 85546\n10332 69564\n30434 54068\n36368 93862\n9006 98161\n14310 61750\n74979 99372\n47383 91924\n78738 81468\n12515 34859\n6999 88120\n10195 55951\n57027 68197\n54033 81212\n4158 11616\n16159 64818\n14697 49185\n23773 88948\n27638 44737\n9167 92286\n50473 89814\n45866 88018\n36989 94624\n19191 19394\n77705 79741\n42227 70598\n7449 75778\n36113 97232\n35655 92203\n13535 45446\n8690 8836\n14347 87964\n26935 41038\n5436 81141\n15205 65942\n38694 40962\n1715 70527\n9323 81225\n45089 96720\n23559 43637\n14967 50473\n13227 72662\n19560 57056\n40864 59425\n57313 91363\n92821 93460\n30410 98143\n4875 56616\n12922 53176\n32395 43839\n15490 32952\n11220 22027\n50066 63790\n67715 93665\n17835 69699\n73911 83158\n30134 99283\n5973 60615\n14688 72444\n67659 93619\n37166 85428\n57521 91521\n4553 86084\n23452 94008\n1343 83294\n8517 48302\n24248 95750\n26952 72223\n15457 45480\n14440 49997\n32975 63726\n15754 47153\n26405 80652\n20958 81498\n22627 75638\n47348 64338\n37226 78028\n34499 93420\n2760 48939\n11007 18094\n36242 61568\n58214 59463\n87603 90246\n14493 34282\n63320 98206\n26164 48550\n55003 77430\n52815 88212\n15664 71654\n20300 85271\n35187 48050\n11247 54108\n20635 93852\n37904 88339\n21945 25801\n66272 86176\n3605 4910\n89044 89443\n5487 79672\n79423 91435\n53096 89530\n89602 92378\n45749 53018\n4632 44625\n21203 55137\n28037 85754\n34332 96663\n13005 31012\n20414 45204\n5265 49251\n82007 97632\n4831 62793\n53579 60829\n53608 75838\n31358 34122\n81240 83525\n48960 57427\n74773 75321\n26507 50915\n10717 93283\n54359 87220\n60893 88968\n11217 85795\n90603 95555\n60585 64600\n40810 55021\n34722 59321\n14699 22500\n49163 91498\n42740 69285\n56580 75082\n3621 66510\n23843 32768\n53144 92769\n65266 85368\n93525 99272\n14113 47283\n13534 32558\n37249 77911\n7036 61120\n32094 55062\n11573 22653\n52471 63815\n25361 42395\n43362 49740\n16466 86176\n37421 90354\n69215 98259\n55906 86427\n48570 91077\n16851 47491\n31947 76568\n67265 89840\n15585 47835\n60666 73432\n67405 92254\n67706 89707\n13134 91833\n11783 55524\n8699 36662\n3027 66348\n6002 94285\n44401 76240\n764 44937\n41053 44742\n37308 58321\n46685 88731\n67050 76457\n37717 91612\n9230 50981\n86451 88260\n44277 98443\n38251 84895\n41680 62351\n84432 90298\n69705 98512\n13133 25356\n52165 52564\n7472 20203\n34295 92318\n7669 25156\n16635 70827\n43633 71827\n64090 81559\n80503 93265\n7638 34002\n21396 46393\n33832 56204\n40584 79201\n6148 83809\n44573 63860\n80411 95397\n67611 80647\n33548 61869\n38329 94787\n28570 87185\n36330 99028\n237 91789\n60134 94044\n7466 87409\n9047 85894\n62729 73791\n7926 43067\n34076 79230\n60275 62237\n38059 38759\n69045 71821\n36071 85007\n47709 98322\n51867 94337\n17295 75898\n38568 70467\n16643 95969\n14402 60806\n63392 79880\n57737 81295\n25817 34325\n73245 97043\n37856 47316\n14773 61146\n7820 73400\n11618 21842\n1779 85797\n65611 89193\n14620 73344\n24559 55123\n49605 99219\n11939 50852\n9379 23887\n27993 30662\n73804 74487\n11559 26390\n48898 86941\n23355 69639\n82402 97201\n87121 91934\n14439 29250\n5649 38281\n15479 60082\n4878 79101\n13093 21958\n29493 80685\n6015 65627\n22641 90759\n5018 74601\n58140 91344\n28587 81646\n14128 28311\n50404 84195\n10477 20782\n63862 73900\n29379 30045\n11097 55629\n7147 92774\n18449 70741\n64049 89731\n71137 77846\n3942 25452\n9499 96876\n35234 98205\n84600 94546\n20932 83421\n21677 43571\n37525 61840\n38774 76564\n11818 51372\n2903 10834\n19855 41196\n10636 51731\n54123 92699\n53304 83713\n3150 88956\n25205 77853\n30253 88348\n40241 99017\n11531 45968\n42103 77393\n27729 63596\n42107 57617\n15523 53450\n23298 71939\n14079 81139\n39607 70998\n74130 96628\n38590 88914\n57884 61886\n37785 84224\n3672 83112\n35914 91435\n72628 93812\n40919 56724\n76958 88303\n42492 77654\n38987 61010\n4706 35239\n67363 86640\n23417 75887\n12809 95009\n65673 93602\n1129 18883\n33948 41167\n31192 78040\n29946 89187\n15231 41189\n39498 59443\n51024 59459\n13949 17650\n9087 30344\n41486 67154\n3854 4092\n58635 83468\n64189 82110\n51086 78652\n15180 52586\n23613 86527\n24156 40934\n90842 92117\n53970 84718\n64994 83838\n76007 89797\n84588 92346\n52014 63699\n90404 93887\n10767 18176\n11015 68502\n16781 28272\n7092 78142\n12957 79834\n22794 46818\n31834 46938\n72141 95144\n32994 67862\n38338 86789\n33439 36245\n49988 82262\n1047 43916\n9086 73506\n94870 96543\n40551 93644\n15578 59735\n43152 52957\n33167 44314\n22472 40324\n11131 94595\n16001 43075\n49874 93027\n32098 94043\n45987 81857\n53654 54272\n24110 75161\n29556 37748\n31306 63645\n27224 30401\n10807 35552\n8492 44243\n23405 94927\n44685 67712\n21255 42621\n59581 72577\n15780 21343\n31488 69560\n10548 72830\n1333 26768\n21316 33135\n38121 44742\n36781 80870\n5268 12364\n23772 95352\n1688 44785\n58411 81657\n19993 23598\n8427 31358\n70782 97810\n34652 47879\n17504 73085\n6277 98915\n41179 41626\n27355 55971\n19275 22266\n15028 16103\n85893 91502\n48786 63236\n9057 42467\n45312 99509\n53803 76546\n83425 87033\n57390 95256\n14761 96166\n19891 97614\n12595 39411\n21226 90465\n32030 75175\n10886 86802\n55557 95262\n60107 78539\n8537 38605\n27066 82582\n38461 58488\n27186 75732\n13722 82600\n25658 62917\n66601 75970\n5899 21700\n40621 51492\n31323 32714\n51113 73687\n13474 23898\n25846 85878\n42037 98520\n10568 33397\n35021 57582\n12165 21331\n41976 56729\n49046 56203\n34858 46203\n4140 46126\n12419 68013\n4618 87509\n34301 75905\n61461 62156\n37664 57108\n51556 78148\n30325 96056\n27473 76608\n4785 64512\n3597 51054\n85768 94157\n4803 17025\n47906 96056\n55705 57986\n66199 80259\n29059 76503\n42965 81112\n42074 89290\n56259 87203\n40750 54258\n45911 96157\n25509 62843\n22718 92661\n54910 73662\n25006 54574\n25944 68023\n36784 39487\n16336 81262\n30385 59564\n81537 96089\n22240 85802\n32964 82790\n87 83446\n6881 38777\n28796 58756\n15300 39436\n40369 87280\n12027 30764\n2681 79549\n17175 91657\n69948 99028\n65363 96190\n5883 71330\n13120 25453\n73142 95753\n8772 49353\n19239 26209\n49071 82951\n35251 74694\n1224 59858\n47025 59063\n48565 63438\n19760 83484\n69351 86524\n41933 49930\n19828 41919\n56846 59836\n2241 23195\n41730 89714\n9912 60817\n42068 43116\n79988 96289\n30774 31794\n36576 63697\n43362 55428\n50641 77300\n28461 68876\n28563 98927\n16484 31715\n3747 78574\n11527 68490\n39325 57864\n52334 65787\n16932 19983\n47908 56023\n61808 76430\n24699 73508\n9386 81335\n889 56606\n25865 94028\n30315 40292\n17701 73949\n5558 95606\n34569 93147\n59169 85801\n23000 70556\n21524 77730\n17485 72323\n49960 88859\n18548 50434\n26044 87021\n32744 97286\n38637 52515\n42810 50399\n4225 69977\n50510 73837\n12528 61845\n15852 51069\n23546 75167\n9385 49634\n68386 79516\n32628 70797\n26581 89666\n45598 50495\n68079 99390\n25779 83435\n72621 90462\n14584 23613\n3850 45783\n67978 87401\n22800 31269\n18988 66044\n24859 30576\n25522 53655\n73103 86485\n15877 60143\n28931 60779\n36449 54170\n42801 92954\n68613 83464\n61750 96158\n35535 53521\n19596 75332\n66004 77564\n25911 93445\n42158 76182\n38152 43698\n38309 46719\n22567 38968\n5665 31828\n45303 47977\n54614 94629\n41502 41972\n22747 33410\n57416 93545\n11458 67938\n9384 53895\n26276 54544\n46905 82577\n40625 66984\n5483 90497\n87050 89243\n44726 91398\n53071 72213\n28594 54762\n35862 93982\n64778 92143\n80989 89123\n28401 53606\n43552 99636\n49924 82383\n73366 89481\n29556 33709\n17459 45735\n3803 74008\n46659 75189\n2883 42559\n3528 87085\n15804 65764\n59598 90941\n72381 97637\n24416 60270\n7714 44376\n32802 45220\n61348 78260\n1515 73014\n37867 82426\n10043 41736\n4830 30672\n17711 20782\n41059 88926\n32122 84881\n5206 26217\n27311 35136\n19907 88480\n9510 91377\n54014 60425\n23421 50894\n38767 47545\n12642 16081\n53203 93242\n11827 99914\n36037 62963\n47152 81100\n67854 87248\n4553 6717\n47608 95336\n33055 93712\n1969 82120\n6837 71251\n724 42016\n14872 55627\n7151 52865\n27056 47780\n43886 57237\n31103 64176\n10420 28525\n35375 54406\n67509 87701\n49219 73148\n8035 68921\n2637 94989\n13382 29180\n40753 84231\n6126 26739\n39019 82262\n21682 45832\n7918 75754\n39614 68872\n8384 32068\n7217 11747\n60949 73715\n8824 51230\n32182 94983\n35189 44040\n59831 84466\n9158 97755\n35219 90170\n66207 90119\n49058 70925\n8111 72123\n64879 92374\n44771 85042\n19335 61480\n20301 99812\n41668 95692\n18314 48778\n74359 83386\n16637 19518\n808 50051\n33536 66309\n77329 98740\n8725 82322\n3626 60719\n51015 53311\n47898 90313\n31558 98991\n22445 67574\n64003 72302\n81459 90409\n9222 67819\n57437 65565\n50664 65822\n15011 23604\n45309 74877\n8774 57137\n21957 91315\n57540 65398\n25757 45621\n13409 47666\n21161 57807\n35717 76141\n19073 36448\n31162 88291\n4033 53594\n36495 69619\n16918 96995\n64270 68564\n23950 43966\n12035 33127\n35109 40685\n32552 93858\n42508 82698\n59294 91054\n33269 49627\n2014 26743\n4527 14619\n1728 75382\n37759 89879\n3011 53871\n884 13381\n26354 73999\n4105 40318\n6434 49259\n54523 59452\n8557 35898\n4221 70412\n10308 68685\n26644 87015\n59260 97488\n35361 68930\n56673 63016\n24676 58345\n17462 52918\n2353 35916\n56730 78468\n64621 87279\n20328 65904\n25978 48566\n49890 87547\n9900 56418\n3234 66258\n21664 64095\n74517 85633\n73000 86860\n81315 91764\n25244 65963\n34159 40843\n1259 9538\n21832 77994\n80554 90831\n76453 94286\n57952 72900\n24241 26548\n33525 80312\n71129 93527\n33048 65503\n12134 45442\n61530 72746\n7237 50726\n324 86705\n27548 67735\n32994 85568\n24959 78325\n8501 30473\n35731 50895\n59759 70458\n5882 49897\n36633 42893\n35239 44673\n9525 65995\n6775 90427\n35874 55756\n47600 82277\n42789 90991\n26188 95122\n76527 96344\n5374 10277\n16419 64728\n5586 47459\n16075 82605\n18586 93903\n34329 79231\n37089 56627\n3678 18427\n85282 99165\n75500 90112\n66905 96923\n5913 70281\n41613 73169\n26880 66348\n63257 81979\n14224 30183\n22081 22691\n8185 55834\n35858 68165\n6979 74817\n61324 65832\n53217 78396\n15263 23065\n5007 55986\n61067 63027\n33797 84116\n5638 76135\n7161 97795\n9569 23515\n9848 63646\n6729 19625\n39612 43630\n3218 45647\n11540 72517\n4773 33279\n5208 33920\n54604 64406\n51349 77194\n1393 24807\n43155 68568\n28474 51658\n15140 16084\n3987 62730\n46206 95748\n47015 77209\n8917 71022\n14859 63978\n42955 69864\n9783 83073\n55602 73125\n39477 80923\n35011 97266\n89466 94380\n30576 61053\n7983 67062\n59323 98645\n15589 88448\n48120 55651\n29204 29741\n50446 83466\n15963 68668\n7779 86359\n49989 71288\n85394 88576\n49084 77027\n72763 91152\n44542 77314\n18129 42311\n33041 58919\n9218 60691\n91740 94757\n61225 97272\n11620 62743\n73762 98438\n72361 84880\n37300 85004\n43742 74210\n38439 53534\n10909 52623\n43348 67639\n61312 82239\n44689 52510\n12837 26705\n49677 93830\n24623 46727\n14125 81252\n65476 84162\n29520 63418\n59777 87794\n53700 67024\n27085 46803\n12935 29520\n83080 96432\n79569 92023\n77300 86663\n833 86472\n31396 89310\n16173 96284\n9481 92005\n62840 80077\n45823 50165\n35286 55438\n5914 57938\n55406 88133\n26240 29222\n551 70893\n27341 77681\n63608 80424\n27881 80002\n32729 45614\n6137 48004\n50734 73002\n1252 90228\n36579 67744\n26680 80690\n63285 82066\n26325 64498\n31234 77012\n45936 53748\n41204 59477\n67591 95251\n16548 56021\n77292 91234\n64056 90484\n24456 71766\n3899 55393\n40357 84890\n30078 35667\n1551 28372\n29028 74529\n96377 96614\n11009 26048\n26511 61487\n61726 91780\n29456 51909\n63071 72747\n4621 35157\n71415 97317\n43109 71535\n68392 75438\n35181 62059\n59550 63207\n30054 76817\n16581 77565\n17701 57281\n43672 68674\n57751 87919\n37782 51055\n10797 92969\n13597 49682\n73439 88462\n34477 93210\n40370 99429\n18128 96624\n15424 73234\n38905 53588\n1547 48397\n40738 67002\n55939 61670\n29510 47362\n28160 62643\n44692 65431\n21144 62381\n716 52708\n67118 71375\n54173 74218\n47000 67611\n29021 57811\n16463 36353\n23934 51275\n19264 75650\n94626 99649\n39501 63616\n67402 91338\n71986 73016\n3767 82403\n12658 24827\n4591 97916\n4551 22568\n55441 95405\n19544 91082\n44583 74718\n30167 39984\n61815 77136\n47907 49779\n57081 62054\n72149 92861\n26149 76709\n31746 38389\n13358 20367\n16536 29807\n23782 76266\n9307 91600\n4334 28163\n5056 46427\n38586 50387\n25751 72673\n30732 50867\n39598 61901\n6849 66635\n34797 54584\n80051 98081\n40867 53789\n11700 76656\n27132 31939\n9929 66941\n1742 39299\n7697 71395\n11760 68558\n74657 87546\n9524 74140\n35285 47167\n1822 82457\n56595 74125\n4055 48050\n43996 91407\n48606 97542\n52026 58730\n6223 67344\n59211 71747\n32455 49429\n73739 96868\n59659 80727\n21171 82064\n64602 87242\n63327 94870\n29074 51607\n47739 60850\n28230 92541\n64504 96294\n14368 32986\n3520 31782\n24325 55299\n45826 61712\n60031 69316\n3276 27921\n78123 90508\n70820 82027\n11322 51954\n32907 88093\n42132 46370\n287 15594\n5592 68904\n24663 99446\n32350 70361\n4995 31929\n92731 93547\n62379 84536\n59892 85452\n6594 30511\n18939 61621\n64150 82830\n23383 95835\n10347 25116\n87685 98324\n47580 73437\n15331 80389\n68212 87720\n26483 87268\n34617 42426\n46180 52136\n71856 97368\n8060 93541\n6670 94059\n50822 60402\n22595 44732\n19297 86147\n96635 98167\n81729 98667\n12813 65772\n42483 91355\n35922 66848\n59603 90194\n63246 81172\n76611 80544\n13331 57257\n20305 98179\n43970 86257\n54882 87738\n24999 71248\n40037 61352\n15798 81623\n269 37368\n52347 72716\n37713 72411\n29550 66512\n24129 41357\n37053 62274\n56987 75869\n33882 77224\n9819 44918\n78394 90392\n59047 95035\n47211 81080\n69679 90257\n12890 77386\n75264 85011\n43458 61188\n22868 24370\n2347 18499\n26553 83578\n32093 47353\n47680 68796\n298 57597\n39722 69992\n10626 91773\n53782 58051\n5194 67989\n3108 74378\n5604 42201\n26337 51480\n11399 78703\n40201 55982\n77363 83609\n67727 89542\n12620 90879\n43579 83692\n3629 53110\n76338 98641\n11474 66215\n31818 90842\n18035 42859\n13978 14705\n17866 64196\n32043 63688\n45445 60121\n36822 48917\n10792 14236\n42302 61912\n39662 98222\n47115 83845\n70048 86386\n81527 90518\n9669 35229\n40601 49643\n87245 88744\n2913 57863\n86117 96921\n86519 88803\n15723 53439\n82620 85849\n13053 65723\n16099 82907\n34266 83508\n31826 75818\n21515 21593\n26097 33233\n58107 64830\n31004 31785\n23682 65603\n462 21183\n26282 38755\n6313 65851\n12141 26814\n51774 84726\n39717 62357\n31871 63175\n14718 60078\n52344 58289\n67471 92929\n12198 25369\n462 22052\n38630 90959\n78459 87930\n57819 81428\n3879 49865\n11046 81198\n50414 98480\n15998 39750\n47546 70581\n20278 32180\n15209 68113\n66421 92209\n29042 87384\n32958 63574\n58467 63615\n44041 84419\n3513 83511\n70658 99842\n15383 86965\n43855 65522\n28615 31394\n20288 43970\n32387 96805\n27419 73239\n27292 91576\n52387 60516\n43723 47827\n72629 86044\n29823 86329\n74621 92998\n22217 81355\n55269 61880\n2077 46852\n2436 15639\n14865 33696\n43428 75439\n45309 47480\n39547 42924\n3137 81763\n77908 79318\n39749 61619\n71439 93544\n55572 56779\n51477 86420\n8971 55400\n16823 29722\n12093 16330\n54926 70387\n67900 95400\n7127 11336\n26958 94609\n14652 53283\n57133 59668\n58780 73224\n22300 93185\n1351 99710\n5749 57212\n26731 38352\n790 5126\n35459 68601\n24310 34185\n24521 41940\n21747 41336\n81849 82946\n4967 47280\n3521 88068\n12239 93054\n18662 52706\n9214 13259\n39156 76144\n19411 38423\n1750 98576\n5638 33326\n6023 12333\n15631 28265\n69809 81899\n52037 76852\n32572 93136\n27798 92443\n69425 79063\n7627 19627\n7472 38660\n28260 52500\n66079 72865\n4913 66446\n9202 90997\n7614 75182\n70525 87572\n6509 31283\n45948 65901\n13187 89877\n6364 72227\n51337 58459\n51206 96603\n22617 90695\n64754 69765\n12263 26404\n14761 57917\n34983 61075\n49059 83034\n65486 69814\n9692 35745\n11994 62763\n6896 51191\n78646 93643\n40621 74086\n27328 34258\n91794 98746\n14795 31208\n82416 83596\n990 78608\n12123 12612\n19469 98449\n73520 80457\n51168 77313\n16456 79627\n24034 76873\n24815 97502\n34562 85766\n75093 86205\n24575 35237\n61927 87927\n23173 49005\n37003 99460\n19552 50756\n4526 74137\n76312 89363\n80439 90837\n67266 77521\n74788 93185\n77337 90887\n15629 90817\n26009 55884\n89246 93889\n12728 47098\n51707 88403\n78168 90239\n15496 97006\n66985 75514\n24601 48136\n72223 86748\n94765 95266\n56744 62833\n15802 85079\n38433 81324\n28129 93331\n56709 61903\n8656 50765\n24521 41451\n45758 46583\n19968 69740\n2700 47020\n28234 88911\n37295 89935\n47039 58344\n760 29926\n45988 55795\n66282 86053\n15686 73489\n91155 92649\n1036 47164\n8203 16396\n77354 91737\n7111 27872\n12237 63247\n30954 78879\n14534 89130\n1789 52265\n82078 88363\n2006 36840\n43847 79500\n20302 56461\n6525 13047\n40766 61746\n2038 18818\n22558 22563\n14588 32274\n95836 99322\n14371 34019\n79871 96193\n15537 36208\n41472 53857\n4440 24111\n4683 99678\n6006 86549\n31361 88486\n49261 87953\n92366 92489\n65543 70358\n15974 19833\n22959 80246\n42763 98913\n53896 82902\n17373 86228\n79801 83846\n54733 87097\n12731 75917\n21731 31506\n18523 40477\n16478 99368\n20802 21572\n37064 88088\n44715 54568\n23882 62672\n38351 67806\n46521 60341\n39678 93150\n16754 62144\n21560 75486\n70486 72147\n24704 29612\n142 33242\n3368 27063\n8988 88694\n66872 70040\n23818 26106\n4738 39237\n22152 52509\n25127 56612\n62632 85629\n37244 44977\n19888 93901\n997 80093\n6197 6831\n29162 60579\n16872 88863\n8912 52903\n37043 98608\n80642 88660\n3881 62986\n29733 59900\n42209 70697\n13306 72900\n21039 31687\n9796 17341\n58628 75109\n32460 70134\n17328 90801\n682 72079\n17405 28014\n30403 85341\n3279 13916\n18827 24377\n13396 49766\n53470 64386\n15469 88980\n43945 98776\n63386 84663\n46286 64269\n69153 83928\n15823 87562\n41403 87106\n25239 57966\n90437 93526\n84161 96735\n42963 62876\n60291 94493\n50770 62805\n17670 93093\n25818 40411\n37657 98838\n35660 64574\n73413 82226\n648 14447\n48158 92747\n29966 67881\n353 85628\n31406 57926\n7647 9912\n39459 71076\n11668 14196\n51233 67143\n84270 90925\n60314 73518\n52199 64920\n33229 63236\n23287 75656\n24083 29799\n20583 24710\n44754 79501\n55257 60726\n75525 95644\n52102 81237\n49733 58940\n22951 34113\n5290 53605\n41863 59607\n75889 82583\n24001 70524\n15498 86517\n448 86826\n4701 9106\n79993 80813\n4880 97797\n49435 94865\n75697 97846\n71465 89110\n70944 73748\n28340 30100\n26990 29259\n7629 77848\n18221 41010\n17065 58080\n10643 20232\n71534 88519\n34116 40504\n29148 81881\n34841 40652\n53163 55307\n59080 81322\n31779 74452\n36951 82991\n22705 38809\n71012 99588\n5012 78322\n29739 34617\n30912 60442\n27896 87961\n45400 88745\n47603 64685\n68047 71028\n7307 85841\n41316 49738\n14032 24247\n25256 38526\n4738 42059\n20397 84735\n6458 49715\n28781 65282\n41978 82461\n65888 80161\n18114 32589\n8189 42571\n70540 79253\n20835 63149\n60577 98249\n3006 97320\n9936 83874\n63414 88402\n20860 89474\n18994 95312\n1501 65278\n54983 97616\n23602 31461\n6218 65532\n78968 87919\n23361 34732\n15953 97088\n23938 66373\n71384 84806\n39954 88953\n48495 94193\n58717 99545\n25451 83448\n72934 99497\n36164 75948\n77717 81164\n7951 38134\n47587 53928\n60161 92812\n8664 42681\n17691 29846\n1389 58770\n7052 34359\n2551 91138\n1249 44276\n16700 53293\n37283 49188\n11111 56076\n14500 82113\n21005 59160\n45737 91934\n20013 65870\n44378 68963\n47892 96538\n57037 58723\n31555 37769\n81064 95129\n12235 13445\n49516 54962\n2387 62506\n25204 61191\n15237 97343\n48015 56783\n5745 21133\n20746 27566\n22466 97571\n62783 63859\n47541 69754\n35827 79434\n13715 28040\n12885 83875\n24308 77112\n33243 51369\n34861 41535\n64901 66886\n6775 44453\n12817 23799\n29245 91127\n61316 86407\n70595 95527\n28352 47649\n52314 55349\n15155 21947\n61543 98794\n12571 69356\n25025 56970\n20065 46824\n45240 78619\n18563 69217\n37436 92924\n33072 53182\n67456 99809\n33763 65205\n11016 20861\n36181 80126\n69712 93432\n50870 79336\n12214 12615\n6391 18609\n65554 85362\n32942 76746\n710 50051\n2840 43379\n9659 11483\n8687 56154\n64144 91558\n39001 89297\n31623 58925\n14304 51773\n25338 34732\n40405 63313\n49004 76280\n41204 64036\n35865 37880\n68303 68766\n46135 77468\n35237 86941\n12610 41795\n59784 76464\n4335 53310\n19360 36581\n10271 71327\n26304 39198\n85551 87628\n11722 98021\n22891 31870\n20887 95330\n28815 55608\n10415 58164\n32296 45516\n13627 90119\n70780 83193\n69434 89146\n63666 79587\n27371 46798\n8529 47711\n41558 53714\n51692 54340\n39198 96230\n44822 48825\n68432 76477\n39758 62183\n25919 71112\n61278 76768\n52555 66655\n1709 20053\n59522 85219\n53668 84189\n6731 50810\n6810 25515\n3986 54429\n49770 52307\n56880 89516\n44822 72334\n80839 93053\n3151 40880\n47977 87200\n57665 98291\n39529 97380\n84245 90172\n41457 78177\n80274 85987\n5257 91958\n4276 60901\n29360 53376\n39989 66890\n56320 83594\n75192 94095\n45960 63199\n77645 81092\n60576 91986\n38396 71080\n5053 46678\n33011 87187\n48036 98094\n4999 40545\n5034 56046\n1514 40160\n34033 72503\n18910 31954\n13611 29912\n87125 92394\n42141 48262\n1121 11439\n9235 14661\n974 36438\n30536 86293\n66401 86520\n3665 93071\n3678 32887\n20578 43577\n2400 33313\n30514 41999\n23888 28419\n38247 38499\n91771 95740\n42785 95231\n62996 69032\n24078 34840\n41124 74803\n15081 68503\n58865 75734\n36880 98627\n77127 87976\n32466 69105\n17423 18219\n11395 18197\n19081 71720\n81297 85760\n39125 76067\n47456 72553\n77238 90432\n31519 57002\n32371 36215\n14316 24329\n18817 60752\n79850 86552\n17063 39300\n35278 81838\n20050 82484\n10604 78749\n72029 80974\n42547 63749\n28854 89127\n46509 93822\n35018 58324\n5619 8569\n10187 69770\n50651 93485\n13581 91968\n7358 28233\n40878 77705\n19123 88386\n60473 81448\n3497 32079\n33153 55299\n76372 79935\n64964 77522\n29507 87196\n10291 51007\n52019 75510\n57955 95848\n43922 98440\n41358 45165\n75071 75656\n16833 69508\n43580 65812\n79930 88723\n67689 78169\n72306 94362\n18119 69540\n12114 90593\n3432 37985\n4636 53452\n55339 79727\n3171 87853\n66891 97723\n49340 53607\n16001 82658\n33019 44136\n15295 83751\n8453 71315\n10309 26521\n35974 56533\n40401 62516\n994 76132\n40332 89869\n79761 94998\n26399 45470\n9211 54016\n86838 90592\n49715 55540\n6320 90494\n25059 53150\n8890 34943\n22734 47355\n38151 85736\n3307 86452\n18158 30361\n43990 99968\n29506 96235\n27921 69069\n68977 75871\n8033 55793\n55448 76482\n9955 63578\n28340 67266\n16513 27566\n8594 60898\n35505 94370\n8128 43341\n78285 91619\n59474 76731\n60425 71537\n50438 79385\n62297 84838\n19004 50992\n16921 55405\n30315 70287\n16646 68742\n50185 71588\n77040 94998\n34521 81680\n43665 87035\n54965 73933\n46258 57378\n10262 35292\n11879 73089\n47979 60702\n65820 69305\n28641 89830\n19829 83617\n24719 88140\n30382 56563\n3558 84677\n1720 53023\n7995 99631\n10017 50274\n28965 65723\n67600 71954\n63361 94242\n26019 82305\n34027 88226\n49471 92653\n5167 65438\n9405 83743\n20552 97748\n28379 82132\n9179 31801\n28455 98016\n49253 67608\n15070 89610\n11603 38083\n22426 96177\n5668 84903\n53867 93652\n11085 76701\n46649 90222\n43496 87002\n2279 24319\n45740 73975\n26753 76784\n26630 98008\n50054 82728\n17404 41840\n71421 77661\n1986 78650\n89660 98787\n24343 87615\n50610 51390\n39222 53584\n90353 91370\n16896 59470\n19835 39721\n39874 43668\n27876 45640\n4256 87823\n15571 20694\n65473 92709\n13965 56940\n54608 68317\n41064 97684\n67830 91640\n48162 75433\n62923 87248\n34961 68451\n139 17213\n76707 96722\n6928 96559\n23314 68609\n25470 34719\n69224 86648\n11524 53836\n16935 81415\n41430 60475\n50295 82668\n8823 12369\n32164 34830\n76388 99292\n8395 99515\n48814 64925\n39474 74970\n64906 82977\n26588 44285\n11986 81038\n40677 74036\n51762 82272\n5369 99981\n14884 41981\n5409 34918\n13319 71255\n4756 92567\n11632 34231\n4618 24226\n7008 69214\n92262 97429\n25841 32178\n34166 46471\n60600 62552\n20362 80122\n58493 99799\n87335 87744\n13179 83018\n62174 74187\n16573 86594\n48769 50761\n9861 29403\n17537 64538\n50976 62530\n56534 65017\n24529 76499\n31993 62099\n14178 57194\n13587 72866\n18981 64089\n7456 39053\n3248 46515\n18705 66736\n46507 61879\n46524 68508\n50542 82912\n24033 85982\n65808 95928\n5280 38296\n2839 63033\n52198 99375\n71223 98398\n10328 58051\n22216 74458\n13237 77565\n34420 72113\n40271 45152\n6703 97927\n22921 54839\n46307 57859\n54142 99205\n43081 64739\n25386 48136\n45070 78987\n22858 30159\n76565 77374\n42788 65988\n62738 86713\n6625 31057\n58260 82371\n35949 40615\n28335 31685\n32996 97543\n90138 97131\n71070 79749\n3058 63688\n2616 48679\n59664 65889\n9984 65598\n30674 91156\n45286 91079\n13153 94433\n78018 86758\n1199 82391\n19029 74586\n4380 25180\n6311 92720\n17678 28132\n844 26506\n42828 65534\n28344 60290\n8807 65306\n77978 98126\n13869 25972\n22023 54755\n90717 94803\n35744 42965\n41879 42139\n22286 39834\n63743 78098\n67190 78609\n24020 28162\n18089 96983\n48715 81524\n25205 73221\n213 77525\n12707 20530\n20224 36097\n49379 50450\n39904 75156\n45226 48733\n62851 69324\n35814 62037\n14400 93913\n18391 80705\n84509 99280\n15303 84544\n26999 61164\n5383 96773\n82675 89815\n11821 38893\n6802 10353\n73527 97311\n26954 66748\n16945 45420\n27174 46908\n8410 44483\n22104 64895\n14022 61721\n12519 39380\n1387 64881\n28120 89084\n28745 90025\n22195 23093\n7160 73594\n9234 31130\n77903 86869\n1652 57701\n27049 53944\n23495 40209\n6439 21515\n15478 22882\n71380 84513\n29809 33751\n39632 67205\n6644 8884\n32071 44488\n19299 43279\n34278 91948\n14535 64595\n19261 49499\n37973 81243\n64247 90585\n31440 61096\n12362 21695\n257 51905\n11822 85038\n27760 48608\n85112 94298\n6358 22336\n35193 36732\n44007 73016\n49643 97749\n75830 88569\n3451 83726\n4066 39542\n2874 12575\n86514 98082\n72804 79789\n54577 77170\n94181 99385\n79977 87480\n75932 86807\n15621 62194\n3367 51107\n39568 57814\n11252 52801\n78994 99047\n8579 30412\n74611 88443\n16065 74019\n73344 76426\n63861 72521\n12990 46857\n10117 25636\n78303 88431\n15673 91997\n37256 62246\n27496 82156\n12788 86400\n59678 61856\n29471 91713\n42538 80217\n8058 37580\n7396 52523\n83919 97409\n1210 2457\n21726 46557\n12907 41861\n39906 47113\n46048 78233\n23254 47331\n34365 52940\n22343 75583\n37867 39128\n18524 68074\n28346 84972\n14019 72292\n42364 55374\n57527 78714\n2027 13023\n13600 52876\n38724 90191\n19542 77392\n43003 56755\n50007 64430\n59032 67142\n40272 49312\n66356 95116\n49966 74071\n37634 96243\n6041 33956\n50977 73745\n48244 50421\n35860 80662\n40482 40871\n24461 32876\n20916 32843\n6296 77038\n54471 94034\n14167 74310\n45512 55056\n32342 93955\n27893 63181\n53023 88985\n70635 78534\n2588 61441\n12024 78522\n40905 70859\n41544 55770\n89550 93214\n35710 39734\n24758 60711\n49098 58422\n25983 26149\n29378 70304\n51825 85798\n4719 74777\n12539 29892\n61438 83358\n13715 82842\n43893 76061\n19664 42215\n16585 31858\n19180 78181\n40233 65641\n51424 69127\n42898 59847\n17437 49839\n2847 96644\n15584 71784\n38803 82716\n18286 31117\n41994 70617\n61689 73962\n24253 30364\n24984 79684\n44248 45058\n23002 94444\n26187 62191\n6366 25378\n32119 98848\n14646 96259\n21313 51049\n34167 86980\n25122 48326\n12645 65647\n49014 49181\n49603 59592\n20263 63888\n30847 90012\n19924 23133\n58220 91778\n91160 97028\n41652 42974\n4974 97158\n40748 95067\n41062 99880\n2218 33730\n84492 91022\n24732 25499\n58619 67113\n8700 85667\n83292 87447\n44584 74031\n93159 96648\n62617 68765\n42546 77243\n39782 55517\n47407 58031\n39528 61200\n28684 43047\n27669 36611\n27469 90986\n56232 77410\n56460 63890\n73234 90486\n19537 71434\n4094 43313\n4381 90424\n10821 60631\n84157 98540\n53827 71905\n12476 23460\n55672 58044\n61824 74595\n7366 76076\n14415 21551\n60613 86241\n55882 97204\n469 13874\n62917 86113\n3085 79892\n63588 83921\n49144 75171\n50911 91271\n18939 39527\n48351 77432\n98131 98176\n30495 53944\n6506 29883\n12268 69067\n52949 68110\n25251 27125\n82785 90087\n8527 30746\n86858 98353\n3250 93417\n22595 62608\n90747 93411\n32059 91225\n10309 51853\n46204 57931\n34632 71359\n86200 92424\n69289 84556\n47175 77556\n6358 42504\n80156 84474\n1758 56811\n79125 86449\n39141 40493\n66613 83985\n42476 88136\n44493 98248\n5212 39447\n5054 84139\n90716 98207\n36384 91848\n20265 67746\n14010 90373\n13069 68877\n64741 92056\n52632 88926\n60878 69907\n18089 22045\n70261 96699\n68625 84438\n168 53799\n55095 96366\n39273 70404\n25187 74979\n91779 93825\n44904 73439\n50420 99332\n34169 50876\n18657 79289\n15431 86093\n23847 99557\n23939 71935\n47830 54533\n32501 80926\n86123 88345\n73167 91956\n1110 9747\n66834 83316\n12282 92205\n30844 75117\n35183 61006\n13362 72242\n72799 87498\n13882 15355\n3691 28255\n35793 59458\n19311 95407\n44685 83480\n31307 50777\n35236 89728\n88892 96180\n68293 96767\n38442 59166\n8783 74856\n10268 18440\n8412 59492\n23829 73074\n27504 85404\n10653 40215\n42052 60288\n32420 87276\n17572 89712\n11944 32416\n48716 48822\n32318 76010\n39886 46894\n68176 75142\n29918 48271\n4011 52003\n22581 58574\n31704 88206\n15460 32060\n42780 45315\n42029 49625\n31284 54953\n42060 92706\n84312 98109\n4819 80859\n55436 88623\n42915 98640\n12574 53837\n9976 65511\n8054 92666\n2089 4858\n22305 32592\n6537 50845\n3022 27651\n10790 41609\n22774 89364\n21322 70099\n26503 28738\n27289 99033\n35927 50681\n17210 55096\n63238 82098\n48673 84188\n24031 90562\n15255 16029\n18429 24603\n18735 77588\n39792 73265\n6472 29435\n15337 38733\n12112 77086\n9317 31227\n32656 39591\n971 16964\n11361 17645\n258 52397\n20673 24672\n72320 84235\n9767 83471\n429 29241\n44686 77921\n79730 99529\n13497 46664\n50684 78366\n1496 46536\n56372 67563\n13365 57414\n44612 97691\n68598 73291\n33794 68429\n25033 47642\n74661 75413\n23821 91174\n41584 75500\n26301 36805\n23844 62833\n12791 63736\n36383 97184\n650 74972\n8099 33729\n55570 99857\n3663 10454\n8115 37287\n66830 91623\n12591 57583\n37451 40236\n61915 97040\n5003 74038\n8578 51011\n60042 68557\n74759 88488\n51143 56674\n25795 61859\n35324 47249\n49189 81933\n29637 32264\n43282 82504\n8141 83557\n59646 67238\n29653 79138\n24898 25912\n22180 23998\n28405 71785\n36744 94606\n32238 89921\n28992 53855\n12151 82627\n11744 77417\n25660 77302\n28796 49858\n8596 93699\n32769 72805\n3091 44453\n78725 87775\n7460 73691\n52154 54234\n560 19562\n57317 95279\n49183 58685\n4020 29074\n53304 77667\n9420 75732\n60862 86033\n51398 85502\n2185 32483\n32217 36679\n34737 55058\n6363 11432\n25537 38691\n55886 79395\n34403 60786\n43626 97809\n44159 67907\n7060 17898\n21031 90514\n6139 17029\n31742 37546\n15854 96420\n3568 50018\n6957 23582\n38752 88327\n54243 92120\n71508 73520\n9335 58218\n17489 43392\n20015 57948\n11118 82706\n33259 64413\n17007 52412\n26052 67630\n31683 75478\n1396 54779\n12070 46179\n49455 61583\n37091 90191\n26501 80400\n4762 5317\n35344 75941\n7584 70705\n33374 87949\n2666 3652\n24764 32997\n1860 43633\n47951 71990\n28054 37798\n60561 82016\n31470 65260\n36537 94155\n27443 46594\n5610 22899\n24532 82870\n33313 73731\n11002 50149\n21730 47793\n46664 83884\n68584 81976\n653 92081\n4986 21085\n2818 90854\n37373 99867\n33068 86230\n53622 64156\n13490 85928\n17194 83103\n49253 90719\n81130 94125\n11028 49751\n43405 49050\n12121 68822\n2182 16456\n22494 81877\n65170 94073\n11903 95971\n38287 52321\n55498 70671\n20875 33071\n36914 56116\n31325 55472\n91953 92874\n32989 85573\n35519 85325\n22059 67336\n11461 33772\n24021 95789\n21701 57237\n11430 33399\n20547 87016\n16656 18249\n40725 88504\n5307 6779\n58021 69689\n68478 95670\n26031 46585\n34405 88337\n61311 75327\n25396 48598\n32634 44420\n3210 81496\n39985 57324\n29073 54565\n3877 91074\n2517 72821\n34829 71724\n23713 40343\n9322 25979\n10613 66449\n75645 76375\n8159 92690\n53826 69543\n2648 38402\n46471 92931\n46427 50795\n33144 37155\n53677 66881\n13671 90911\n51178 89191\n69184 87577\n16038 46655\n26210 28711\n26980 90838\n27874 50333\n22781 62468\n44913 93219\n40161 63021\n50294 63486\n45338 53933\n54615 88348\n64780 67818\n11497 82990\n60016 97997\n8678 71824\n35847 90824\n10444 22280\n11478 58523\n24110 32902\n37301 75530\n16769 30529\n46701 71994\n13462 56536\n8138 31897\n6435 15860\n18421 61102\n18882 48869\n13076 25597\n54064 81209\n34631 80924\n59255 83693\n25934 73038\n3940 66401\n35149 41259\n33834 82868\n34188 79121\n75551 80574\n5215 91439\n30078 54336\n31172 59804\n15350 78953\n10688 96789\n31312 64758\n93554 95828\n38387 81036\n19050 25848\n5134 31965\n31069 80910\n1131 25502\n22521 82266\n63360 67703\n3370 57998\n23113 50994\n78353 82967\n54341 97544\n3958 99854\n71523 99906\n32271 71203\n12891 34234\n34984 48223\n1640 48482\n9694 32340\n5716 44052\n4065 49002\n20509 26604\n134 98604\n83565 97275\n29547 75483\n26862 46375\n24683 93074\n24555 95590\n13868 91394\n88005 98641\n13141 50377\n4094 9585\n64015 88477\n49711 72485\n25029 27078\n3377 61640\n41576 78472\n301 24410\n31612 65108\n3551 26321\n62343 77076\n9989 40595\n12763 82713\n65818 76641\n25171 52283\n28014 94684\n27771 64567\n59155 97561\n11998 19431\n17113 78643\n26159 62993\n33962 61112\n56420 67036\n16915 35061\n20408 73337\n38374 89749\n77773 92656\n36054 84186\n36550 63398\n17361 52887\n15585 51284\n47506 65981\n48000 49225\n8570 32088\n21415 43255\n20482 93189\n13093 63795\n26251 31061\n64325 93813\n22527 35651\n31974 56502\n1406 86445\n73074 78148\n69409 79889\n1480 51961\n33229 58495\n19698 28527\n30913 68051\n14604 92548\n11210 43936\n10800 98543\n35716 85946\n50102 89518\n5897 20024\n42261 90255\n30768 62763\n20326 28482\n52678 69539\n32307 42335\n17860 41519\n18043 91033\n12095 95140\n18777 52063\n25564 60003\n735 89457\n52847 88347\n17019 52660\n15114 51940\n108 14717\n20798 72288\n1675 74576\n82603 90636\n43134 65887\n28032 28174\n3780 90254\n66394 95475\n43891 95658\n49106 65974\n12509 88091\n27781 34027\n20489 84610\n14612 50124\n13803 63308\n79671 89711\n20751 70502\n9387 68697\n34764 61623\n1422 14288\n49985 66290\n38659 75009\n1450 48106\n3291 34525\n46468 60436\n41351 87186\n65344 82486\n26419 58497\n2836 69836\n27936 85531\n22197 64752\n34522 69984\n18636 56116\n10208 95833\n9238 91456\n13189 92194\n42525 89170\n35249 72131\n1898 10095\n17846 59244\n33593 96666\n62754 95203\n2184 67938\n11405 48396\n5239 92997\n2491 69466\n22302 38615\n26834 88314\n52063 65156\n71304 84291\n93299 97687\n25141 83056\n79789 98181\n34999 53557\n54838 73172\n53554 83932\n20042 43837\n15392 87706\n50534 67036\n38935 75008\n12502 31377\n42445 68125\n87142 96748\n39379 59155\n7153 74385\n3474 17176\n69209 83412\n12608 19749\n9345 12044\n51461 56979\n6685 47930\n28627 30774\n47206 47999\n52278 72427\n946 44773\n35866 46072\n44547 93433\n43808 54302\n4455 64190\n24788 85116\n62468 98301\n43692 63875\n17052 33363\n50019 81083\n1020 95463\n10152 20406\n43503 93546\n24475 94489\n11621 64831\n22063 32389\n1843 47034\n59628 88936\n29862 98371\n73136 87684\n6231 61932\n11104 75057\n38871 78026\n15477 51302\n56823 84876\n11391 78593\n8600 56427\n13149 82787\n7643 62237\n10830 97695\n51675 89467\n7841 80605\n45742 74920\n49008 90079\n67499 96634\n34917 45998\n24547 75495\n60584 82538\n8487 45736\n40258 67380\n40566 96056\n28692 43468\n21307 48950\n5719 67313\n41446 85600\n19319 92299\n82752 94814\n6380 21464\n19426 37289\n3094 13337\n85575 96586\n34902 48362\n57742 73934\n34062 40461\n35344 68898\n40509 55875\n39493 61515\n56707 95389\n71070 77556\n18824 64940\n52171 76540\n58867 71760\n49987 54504\n19118 69718\n69111 72190\n59177 95192\n5185 48363\n40198 50341\n26512 61779\n4527 42619\n4995 11580\n882 54735\n32144 89478\n66976 92789\n18777 29052\n16064 52834\n15929 66025\n28074 75354\n37669 83443\n28623 36291\n26529 39905\n16492 64477\n4323 65455\n12523 64592\n17019 29542\n42535 96993\n2727 43881\n34532 44719\n36171 58514\n40896 46061\n86259 92633\n38457 52855\n76813 82635\n24922 64313\n6075 24302\n36647 58404\n32342 96785\n55003 85375\n22990 53007\n12668 78854\n20659 40945\n54176 76839\n45846 45867\n26093 43842\n19439 20923\n11134 78159\n35383 50384\n6779 42689\n25760 88962\n69518 92138\n8494 52706\n39989 62068\n30765 63065\n17549 85365\n863 69556\n22008 23702\n90474 90926\n28241 74108\n5304 95914\n29972 82517\n20525 96851\n12276 55982\n75778 97295\n43751 94091\n80734 97662\n44562 46104\n20497 28665\n32183 79806\n35268 78032\n39844 75317\n41126 53226\n6853 68044\n19723 65267\n3396 32390\n5 90331\n16771 98830\n32739 69479\n44527 58808\n66773 95955\n68237 89164\n23124 33062\n11300 76709\n3771 28895\n46828 67513\n10483 80441\n9217 11355\n30732 61096\n42028 88568\n26870 68137\n52785 68282\n49669 79681\n9269 98152\n38943 42410\n51735 58071\n25463 90808\n1843 95185\n71681 90228\n24274 66681\n18700 79759\n7507 19525\n13330 41961\n54695 65941\n57755 70558\n12872 77566\n25596 26580\n8983 21566\n1407 84769\n14510 24813\n19154 78765\n22584 88584\n85044 97894\n56020 63078\n76531 85020\n9585 87071\n56336 73548\n1635 22509\n29700 59907\n18147 38422\n37352 49698\n24304 53961\n70520 93711\n17359 32025\n40448 95425\n5449 60271\n5812 40193\n25658 91189\n13898 27132\n83603 98022\n15636 49112\n5513 27596\n455 15268\n57495 78360\n57543 86114\n324 96749\n7139 46102\n9296 87089\n40024 59977\n46454 66097\n14462 27654\n62619 72771\n9007 98684\n45782 62092\n54309 76953\n79386 88433\n53597 81828\n25899 94357\n48932 66382\n39011 69403\n5145 67456\n31126 95287\n86930 98806\n31310 88169\n4326 99223\n95941 98564\n43816 52002\n32274 95534\n76356 92350\n52675 99529\n36181 74859\n72450 83625\n52974 99918\n61678 89153\n31172 77555\n16760 60948\n94498 98197\n89223 97354\n20157 70856\n17015 24733\n10377 82605\n51865 78789\n14857 80287\n57779 66322\n60855 86416\n25508 96387\n58804 58861\n26739 64706\n8128 19057\n39910 60008\n10494 25873\n13278 27024\n2434 72157\n51600 65403\n83504 87217\n28399 62135\n17149 86875\n19129 24850\n77041 97957\n11525 73572\n83321 94173\n47333 59336\n2543 47755\n62206 85214\n62003 76138\n14608 70006\n54 77212\n3300 40383\n8445 34529\n69140 81234\n44404 77864\n52669 81617\n15944 84776\n44691 56070\n83211 93958\n28515 82600\n38964 41244\n26644 87855\n8263 99933\n31159 79297\n710 84986\n62745 83703\n8881 32705\n43163 74114\n16046 67085\n22683 54696\n5667 88906\n5348 82699\n30408 84674\n4787 44145\n27377 45753\n34243 37088\n69369 77503\n29717 79641\n24868 54341\n19145 49146\n10766 21423\n20905 67455\n42343 50664\n24400 77084\n365 64608\n46473 92916\n19956 60060\n22613 46870\n7924 45811\n42492 71019\n62310 85090\n11003 37386\n18864 46884\n77709 79242\n44957 64677\n3375 72690\n53858 75791\n17685 73308\n52448 76681\n9611 80634\n13145 70667\n8566 17438\n1653 52564\n51899 83196\n11618 13667\n65632 88971\n23092 69961\n25371 63239\n17265 65116\n27930 88670\n18792 25188\n66315 81223\n1798 22495\n45519 54624\n23237 91075\n52652 79927\n21500 63025\n9021 79355\n34980 90825\n77374 99837\n7222 28427\n5287 26602\n46948 73067\n26687 86218\n4544 16692\n31934 70271\n42909 82005\n48123 57713\n46611 77499\n10164 78401\n33429 86349\n21732 83708\n24830 49422\n34253 89905\n8627 27653\n4325 33084\n16941 53521\n34488 39078\n599 51997\n529 19221\n68634 77491\n1813 35458\n29245 36030\n61850 98529\n7866 8181\n83645 98080\n41323 92636\n60693 69124\n13136 26337\n15895 44739\n43361 57838\n16795 69742\n21587 52231\n51762 71746\n26158 75996\n13405 46792\n25430 91387\n60119 61498\n26379 69277\n72127 94053\n16878 76260\n20360 37817\n19577 62674\n40943 54479\n12945 34851\n47006 63788\n12344 16487\n75202 90720\n54520 84792\n22548 65963\n35164 42292\n2377 11945\n44132 70204\n86182 95361\n34854 63944\n21599 81376\n21553 58876\n23355 48036\n55105 99235\n28461 69953\n36735 51081\n14908 56893\n63898 77013\n19713 35551\n26676 62992\n44688 70405\n682 26439\n41800 47676\n8893 24103\n30564 96664\n45431 68410\n74436 95157\n7598 70537\n43698 70432\n9690 70820\n70178 77782\n44919 54103\n14487 90565\n79445 88783\n20705 27303\n34446 76227\n64303 93701\n2020 11693\n18052 77210\n14683 24116\n55940 58215\n1601 94479\n347 63608\n5677 25682\n72945 91182\n83927 94245\n75488 82992\n21235 64535\n42531 45195\n18185 78289\n84782 91973\n55697 87969\n63177 63692\n79326 90139\n75258 92633\n69439 70841\n92995 97614\n27628 58602\n62085 68850\n62836 65960\n84401 91186\n34775 90509\n77765 86313\n787 54160\n23461 92327\n17308 96342\n44319 73657\n10798 54990\n6648 66441\n56672 74352\n65716 90842\n53210 59081\n46524 57044\n27867 86938\n23646 74641\n19409 32269\n39498 96044\n20665 71179\n13108 96469\n44688 88770\n8442 25387\n4841 12693\n74730 79758\n14100 72128\n56955 68055\n4146 95569\n36673 49038\n14630 68271\n12387 60321\n59465 93433\n13047 71503\n28787 45622\n1241 59629\n20465 55217\n84197 90809\n33789 35589\n12933 38400\n21207 30081\n36502 96271\n16695 19318\n43288 47568\n32812 51408\n45112 48711\n9663 55283\n18350 95083\n58995 98561\n78932 84545\n28679 76243\n44707 88451\n10649 22360\n9720 66664\n35449 42524\n280 53095\n80547 92099\n89495 99537\n37580 53315\n24597 56025\n62929 97675\n4806 73714\n54266 97537\n27202 35054\n33659 99302\n48921 49987\n37278 45409\n51101 60367\n5536 90900\n6697 81851\n35903 81223\n14275 40082\n23560 23845\n4733 38018\n76275 89879\n42057 67924\n81123 88005\n15803 32321\n35972 91181\n32565 52639\n33432 60302\n14435 73287\n24036 91695\n36976 47627\n2177 91411\n35911 75772\n65096 77142\n59200 79906\n31287 89468\n4664 15401\n7261 65462\n6864 87212\n37493 40983\n13026 87549\n32004 55805\n20090 94297\n3420 44306\n64379 66778\n55845 62345\n5992 35759\n13185 19720\n40644 78446\n13815 73112\n27634 33364\n25799 55586\n45528 68348\n36507 63733\n46077 93420\n23503 63657\n39766 56291\n44533 59791\n38930 42418\n2500 30853\n16656 79253\n12630 59605\n21775 35337\n5295 48254\n82580 86991\n16604 22793\n35347 42010\n52373 81010\n10619 91417\n29094 84136\n32207 87926\n76806 98714\n85264 85651\n25882 31827\n4010 90878\n4253 91337\n13918 45460\n31033 89414\n5235 28956\n65507 71946\n51378 92683\n84151 97796\n73818 88367\n12412 50996\n28050 87889\n17425 25011\n5758 10954\n4975 78990\n15242 16167\n41775 60765\n44287 49291\n39917 69528\n43607 52848\n8598 24211\n88669 94318\n65441 71512\n46407 57447\n74909 95013\n1436 10987\n63297 66113\n92589 99917\n20963 80851\n44357 71331\n15286 83990\n12488 59070\n27155 41901\n24624 90786\n45246 87323\n57280 70964\n12201 52023\n42100 91084\n8460 73242\n19068 76640\n24798 77379\n24115 32270\n1672 60685\n27544 35589\n17225 67244\n70359 87887\n59827 90492\n1071 71291\n40142 52166\n49600 83914\n19301 34104\n79709 97509\n79567 85361\n3336 86065\n34213 99212\n11264 73618\n47209 72111\n74192 81937\n51948 83376\n31459 39975\n5370 70373\n16292 90196\n45194 67405\n42585 56803\n5525 43186\n18073 76753\n9916 73489\n26797 77844\n15772 51742\n14297 44977\n18469 28323\n25934 48461\n27920 89886\n25841 98136\n29847 76049\n2669 10971\n35953 83482\n22808 27367\n38261 52972\n48893 90014\n58932 64678\n53086 94102\n57923 71167\n3261 23924\n15836 79926\n13547 96028\n55203 62305\n16967 87124\n947 16612\n46843 87528\n56685 67181\n40237 79068\n12486 84746\n13315 84018\n74803 86162\n1163 70600\n6676 20119\n60274 99798\n12008 16178\n19510 80957\n25765 38983\n6882 99607\n19636 35991\n28638 58107\n46105 75866\n15480 21666\n27736 51107\n30589 99540\n49109 74717\n21000 80247\n20518 36372\n31527 99254\n547 1303\n27146 72572\n73121 86444\n6257 34512\n33384 97484\n9244 97600\n7589 26972\n13919 66567\n38175 78616\n16968 63300\n5172 48467\n20209 83322\n26147 55878\n8968 77294\n775 31499\n72478 74494\n11539 57986\n29682 49724\n69631 93278\n63815 64802\n22710 61787\n585 49208\n30811 84931\n66940 97816\n78624 79390\n23350 63929\n6163 50139\n67632 80574\n12146 77507\n54579 68602\n16494 32378\n57954 58691\n19063 81808\n1446 41179\n24074 90268\n32966 60503\n442 59147\n16518 45100\n7162 49545\n34993 98778\n16771 22782\n50786 88272\n30646 45474\n51353 52200\n64968 71415\n85828 92376\n14316 18874\n78235 88249\n12294 65021\n39141 61157\n38467 67941\n4920 39757\n71408 94562\n2155 85314\n87735 89740\n2826 10913\n44172 66561\n33370 60872\n26532 51931\n33898 37076\n26047 68743\n79480 81767\n3077 93781\n1208 79202\n78450 83172\n62860 82642\n50978 59402\n11446 85176\n42756 95776\n7370 81262\n15053 60529\n46573 99655\n3338 73805\n51038 94596\n57237 57524\n50047 50529\n53746 64574\n26214 63907\n79199 92446\n22555 50344\n8924 82725\n81942 86487\n27148 68167\n58937 65516\n29050 91317\n38883 43855\n25090 48852\n23027 37999\n41031 78176\n31082 55606\n44555 87071\n37378 98142\n98265 98374\n16710 40928\n22050 69352\n60321 61727\n78521 83177\n9719 34097\n2255 41935\n22751 37703\n2545 11671\n46613 97702\n33069 54874\n23425 56011\n56889 64603\n71770 76914\n44686 64128\n73136 76279\n56796 98977\n57857 61254\n6376 68457\n12525 20459\n41479 89637\n14892 30772\n11599 66475\n17595 81397\n40742 59426\n7639 76687\n81440 93998\n8673 45957\n16786 65170\n28979 83680\n52463 58648\n5014 10561\n5948 97850\n85757 92223\n20967 83363\n4674 35052\n47999 81249\n9981 43893\n18335 94550\n11413 19261\n30620 56224\n5382 24763\n73782 84145\n2483 10744\n81215 98881\n59153 92553\n28792 45033\n36541 48151\n43826 76689\n66676 73812\n32616 39023\n61209 76732\n16377 65961\n12633 19834\n49682 51993\n38843 63614\n13933 44690\n33685 56842\n71031 93702\n701 78560\n71278 80105\n15765 91278\n497 56929\n67460 96147\n79626 99294\n93034 97412\n30749 38406\n2248 96419\n61461 98997\n17331 72807\n32417 51388\n20893 53108\n37266 77766\n14483 41692\n13706 35277\n40061 93326\n4459 47805\n18253 43788\n3873 51567\n48972 91319\n1474 6430\n49895 97762\n15526 85070\n5967 35874\n37155 46880\n42135 75161\n64695 94388\n47932 50515\n9255 67675\n23361 34406\n6459 18790\n40094 75121\n15031 24919\n38443 54111\n33352 55522\n26265 41763\n28265 41769\n66761 88084\n6065 96580\n96035 97649\n71037 75175\n77646 95472\n58362 73685\n19898 67804\n58160 99884\n28718 97106\n49835 56237\n48649 52672\n11445 32161\n21164 71581\n17874 27234\n2222 74287\n11599 44927\n17056 72107\n49844 72538\n39979 87084\n31354 54217\n7579 18955\n23889 64259\n89584 92158\n19074 27564\n44911 79103\n5341 57690\n60393 70279\n26299 63155\n35595 75553\n5106 66069\n87868 99475\n3093 22279\n8378 94689\n14813 27620\n26820 45564\n58051 76264\n30069 89168\n36330 44564\n46335 73371\n8178 46510\n21885 70502\n31513 75152\n62830 86669\n71272 90816\n32013 35981\n58663 92079\n32485 63563\n23793 72737\n62352 69148\n13320 25173\n27073 33174\n19756 80152\n8902 71002\n12366 64134\n35202 98554\n34330 94439\n13023 94792\n20480 37967\n27758 67437\n18605 37672\n94373 96613\n69904 85291\n84200 98782\n29649 31006\n35271 93565\n6170 16973\n26280 35729\n58241 63572\n89337 95968\n15133 67387\n9938 69696\n64946 72311\n26138 49828\n1907 58011\n29725 43940\n60571 76226\n5408 21291\n6838 13242\n281 86556\n30886 89710\n37057 90845\n16936 52275\n75438 98666\n2946 48138\n62421 63499\n2570 7253\n385 81327\n22372 90621\n9669 77845\n63694 65248\n10625 39173\n1709 82906\n11909 60695\n8678 76343\n57506 60732\n44402 96704\n8315 90420\n1907 80236\n82113 97298\n12565 44641\n18257 84226\n27693 29504\n8934 88270\n94017 95187\n37232 66646\n30964 70218\n41764 65244\n26292 50463\n3273 85379\n21361 85123\n40571 88662\n1623 50530\n37848 81847\n35703 91302\n6079 53208\n33400 59310\n49772 68239\n14958 87650\n23903 38254\n31154 90222\n45958 46043\n4589 94402\n6351 77520\n81330 83620\n19676 96065\n52388 67222\n57803 80389\n29917 36505\n6895 79270\n6325 80664\n6838 17619\n1933 93789\n64639 78236\n25030 51637\n38852 82248\n25875 61632\n40644 43828\n23794 31720\n49856 71265\n35267 40944\n5652 89614\n28020 49426\n27132 45723\n25246 87342\n27736 39786\n10126 32668\n56862 62613\n56679 68443\n63584 69105\n35982 54512\n13512 25004\n481 35673\n62796 66404\n88264 96396\n37720 85522\n45640 54919\n38488 61407\n16359 29429\n8096 66725\n15452 80593\n19994 24536\n45979 67621\n24403 98332\n11509 16821\n59729 80638\n1954 32902\n1715 37231\n21671 40408\n6211 90534\n39784 88490\n6387 92262\n41850 76460\n96043 97928\n52440 62204\n37211 45206\n42205 48131\n29387 54120\n69317 87325\n31277 75444\n179 3181\n19813 73648\n58521 89141\n14345 87788\n74890 94593\n50111 99818\n8766 14445\n31002 83724\n26463 84442\n27455 71870\n22581 64882\n39681 45110\n21982 80431\n9383 45927\n18798 42616\n533 68329\n23088 34718\n7216 47523\n27409 88516\n29002 86593\n35239 90990\n405 35684\n3324 22678\n50015 79316\n59153 90197\n16766 91367\n41733 97438\n14769 29626\n8012 42484\n1330 51710\n2039 62087\n32794 71924\n31110 97114\n81380 93981\n40117 46772\n19698 82755\n47072 67343\n57057 69358\n70342 97687\n14986 39781\n26206 47354\n34484 66649\n50583 90918\n61648 69071\n49759 68932\n24136 32342\n8761 59243\n24475 54422\n31304 76561\n82494 83923\n4134 98039\n58999 75718\n3172 41104\n44334 49675\n10193 73984\n19214 33305\n69294 97969\n31128 76832\n47492 94889\n3087 74538\n10238 43587\n32909 72297\n94369 99801\n62284 88542\n15778 34082\n52312 59040\n10478 67142\n4287 85638\n9114 62669\n67775 93035\n6135 62564\n35588 76118\n66914 88535\n13265 49884\n4208 87630\n54800 69838\n20967 90831\n68412 90933\n29455 30333\n58235 68384\n9486 41292\n84032 98826\n66401 83566\n60403 97651\n9498 32057\n2915 16638\n13760 72044\n4282 9140\n64552 92842\n12218 42004\n95129 99391\n49639 56024\n25119 44188\n4633 33721\n35488 86569\n36521 80532\n357 22334\n4401 29816\n41205 50767\n32154 65895\n45413 65099\n15302 63346\n61390 67731\n1556 31927\n2523 87481\n6113 27585\n25927 42112\n44503 60541\n10221 36407\n16119 74740\n20957 65947\n29771 55468\n68401 89368\n52625 70400\n9533 97512\n65055 84752\n86117 89403\n23419 37334\n32330 34503\n33054 83484\n13977 86574\n12367 78446\n24238 60837\n89451 89494\n26813 59683\n47780 65036\n23580 74731\n38697 89898\n14361 21797\n19614 35015\n6980 20999\n27821 66352\n1930 41471\n10786 48371\n51696 72476\n11121 25412\n50489 57487\n5266 38475\n14779 57640\n34597 98627\n62854 96054\n13539 48432\n14820 72660\n6470 44802\n3158 62034\n42451 43975\n19699 40149\n31155 55205\n23926 29811\n56797 69745\n29704 40370\n25051 88715\n68361 85364\n57296 70498\n21360 52212\n33154 53221\n9741 75066\n17677 45928\n61141 95645\n47818 75051\n25474 32515\n9752 44933\n3258 64774\n70750 72974\n49925 92050\n18811 83710\n48258 68387\n11018 64655\n47686 77164\n20438 87873\n30055 41408\n2438 52915\n7902 49993\n48081 94139\n26414 70088\n9390 34597\n30724 32656\n73799 91036\n25855 33486\n30815 51285\n19167 94011\n75197 86071\n15900 26421\n25823 45325\n30191 60215\n33859 84698\n49162 72349\n69452 82533\n39631 82021\n70302 87743\n54363 59120\n5066 24756\n95355 97939\n42825 93657\n40532 72926\n40023 74700\n55383 99200\n4511 47591\n13698 57044\n27575 72946\n606 29058\n44620 78605\n20648 22185\n33800 70322\n23915 70753\n14328 41232\n5536 58144\n11567 71970\n45461 99838\n15074 66676\n11099 49053\n30697 47663\n79285 83661\n60708 81128\n65266 87144\n34192 96067\n42863 89282\n12300 38526\n28293 97827\n70623 94697\n16320 37138\n47470 51170\n78869 87107\n51233 53965\n27757 90510\n10288 25080\n70220 76447\n26106 77540\n52899 57177\n10799 76595\n7586 84521\n37502 69559\n26160 74050\n58074 71352\n16710 96706\n2107 54090\n46790 74548\n28372 84758\n601 89847\n42541 57681\n47807 98789\n53172 97787\n25290 72616\n9481 66742\n1473 29673\n77062 80052\n14474 82124\n60180 75294\n40462 85560\n4226 16640\n60178 70867\n10309 62476\n16217 58203\n37155 48009\n6863 44579\n45885 97026\n8250 35231\n7975 36899\n12036 89990\n22805 71191\n68294 98921\n62990 98327\n30978 38145\n32190 49899\n5259 86729\n42384 52934\n37343 52100\n20603 53570\n22725 42773\n23774 28167\n87241 95613\n58673 89637\n4996 84249\n17932 93136\n20864 44209\n17324 35603\n16085 22189\n59218 70701\n38101 82392\n43926 55425\n17341 86654\n10463 88836\n12137 66012\n48611 86977\n27509 48315\n14032 76880\n30570 75152\n10610 21831\n26907 77950\n36905 94480\n15469 24432\n72229 98370\n15698 69500\n6338 50260\n13050 78935\n31140 88622\n21920 31197\n49157 67940\n37299 39213\n4802 73885\n54907 75985\n21026 61316\n7341 18769\n80172 84743\n43688 83719\n8651 45283\n419 89716\n62746 98436\n35150 86796\n11707 29901\n3205 69312\n14374 61297\n5161 38186\n3617 10550\n65523 81209\n51557 89009\n18812 46401\n17568 20354\n22884 41684\n16302 17682\n38905 76726\n9107 24034\n74842 97607\n6435 81149\n27608 29469\n34043 37850\n5650 73680\n86121 89485\n56868 63044\n2742 56131\n38658 74106\n61784 73734\n7668 32889\n58389 98880\n2025 36141\n22135 36570\n87324 92253\n14410 98691\n39115 56544\n4941 53154\n80421 92736\n29578 50415\n1503 80130\n28996 62282\n10457 56385\n52732 76778\n9924 59632\n12700 44704\n4139 90322\n33406 57190\n26294 39632\n35794 70927\n14361 99419\n31393 86191\n18032 92497\n73588 95556\n47129 81215\n67987 93702\n12375 12659\n46274 62087\n42686 92318\n11607 71619\n22042 78529\n50099 82787\n63678 66002\n35218 69555\n973 46573\n33258 60329\n16372 57719\n19420 55238\n38956 39491\n15010 75495\n10266 14652\n60782 93733\n73412 93781\n6015 45299\n179 16718\n51770 60475\n5385 8279\n46260 86787\n668 34378\n71009 90958\n4377 37008\n42458 46162\n30588 44278\n18971 61909\n71837 96863\n8113 60417\n86490 88823\n73688 92093\n117 97701\n9966 99140\n34877 53148\n40204 50149\n404 9815\n13295 89649\n66918 91059\n18380 33353\n19765 73858\n15664 18137\n3161 22859\n54906 86950\n16471 42783\n70069 80514\n72807 75903\n16349 43817\n70978 72643\n59889 61166\n51967 81100\n65897 87543\n38789 49206\n17154 27986\n52250 89360\n28676 36763\n5970 25427\n6520 7635\n69192 95682\n58707 62479\n64868 78648\n77914 81886\n21260 54612\n12720 77270\n33045 97443\n17826 39509\n41694 56041\n32497 46289\n27444 83689\n56019 59776\n67359 98522\n55617 73975\n49878 67659\n44789 76783\n85730 90489\n8871 28612\n15643 51534\n30031 90994\n3519 87123\n21404 54696\n67189 79778\n900 24088\n21152 22003\n36448 39666\n21064 26125\n19163 24592\n14752 77117\n19668 80789\n56361 73891\n50955 70173\n19909 91210\n60264 61897\n52619 69919\n5915 27957\n14588 38072\n30630 42175\n82 42123\n37310 39300\n34606 89481\n2291 54951\n67906 73175\n18310 41220\n45016 88247\n22075 32606\n6345 59563\n62348 62902\n30241 83783\n24575 48966\n69806 85679\n18652 38252\n43583 66551\n1677 99366\n79864 97731\n16526 66712\n43390 44951\n33080 45519\n11290 67829\n20009 46562\n6722 99607\n13164 98406\n19225 50012\n54258 54446\n51863 88455\n11724 76195\n4288 87974\n10550 67164\n71483 88968\n47763 73331\n2208 79077\n11808 89014\n23055 39470\n31682 84935\n18559 21976\n64939 82319\n48490 70905\n42637 54949\n33827 51828\n1961 67370\n70969 81331\n89481 89807\n61858 84413\n52746 83037\n25351 98846\n42389 47545\n49337 57249\n6029 28197\n30279 87000\n16947 48150\n58579 61749\n67384 88956\n60815 67910\n14394 25637\n875 90075\n7019 62809\n21861 81735\n20325 76710\n23633 41679\n18365 66184\n35197 88487\n66857 78439\n1171 81469\n11209 36880\n83861 84958\n3473 69869\n15133 50774\n86454 89713\n27591 38342\n3470 33241\n25725 62659\n14636 71083\n65820 95705\n29274 92510\n2509 10310\n20011 96069\n45574 79708\n16817 22033\n46773 74671\n337 18070\n58566 72653\n37982 92275\n8362 52204\n13260 61472\n45133 51269\n73988 89124\n24336 31667\n41344 71951\n15759 97140\n38715 99915\n77683 93424\n21824 43408\n20636 42012\n68737 82330\n26931 80245\n25275 89579\n44043 63716\n18130 83495\n11678 79256\n10895 16579\n76179 91261\n60767 72900\n41995 95858\n47295 57522\n94244 96091\n25248 55455\n74083 83989\n2796 25271\n32301 60257\n31298 82371\n9899 43831\n32042 54385\n3305 8686\n31158 99033\n4463 18411\n68025 83390\n68432 97058\n54069 75394\n65980 86130\n49892 70674\n10629 25053\n20291 57626\n52014 89118\n38843 65049\n96266 99302\n25593 57545\n25506 65775\n30081 45721\n22871 94506\n29570 56951\n65698 71764\n35586 83505\n50862 57440\n2912 48112\n19876 90379\n29200 63435\n14876 60338\n87168 92149\n96142 98789\n36626 78655\n64773 95841\n49221 69250\n30310 95339\n71138 99295\n36986 48131\n21657 93896\n4699 70267\n43194 43974\n25421 54920\n57838 61900\n29193 35355\n28176 41843\n25894 84092\n56139 93449\n39934 60880\n21425 75784\n444 29013\n44449 62424\n20914 45882\n54382 56461\n61510 98856\n16821 99003\n78179 99946\n7312 61484\n22761 91509\n32145 68640\n60599 66348\n11124 94453\n33851 90967\n7138 91028\n13839 61068\n67898 84804\n25250 66239\n51219 84504\n32300 70624\n50259 94405\n81309 96519\n26790 43224\n53000 72650\n4168 66436\n46217 83683\n68887 84483\n92555 96093\n3129 26304\n31921 69828\n29635 70302\n82150 92888\n11232 37343\n20878 98790\n15610 70847\n10395 99227\n26409 95876\n35031 71353\n20657 81088\n7971 80954\n31835 99951\n24253 56555\n41721 84794\n53259 66860\n9130 94098\n71013 76759\n57737 94666\n18967 74485\n9875 77794\n86682 93630\n28904 61671\n13838 51528\n32406 70687\n17542 86860\n21726 70429\n53228 92442\n31753 64599\n93930 97657\n6719 40179\n42064 45863\n58639 85721\n3696 81074\n24866 52015\n26926 69797\n35847 83533\n20453 66472\n33843 98438\n10978 47537\n66004 96127\n17244 58921\n25600 93576\n21309 85481\n27116 50962\n91705 97139\n56663 94030\n2367 26146\n35345 50755\n1071 66344\n14593 20082\n30446 99923\n69138 90967\n16389 96807\n70150 71416\n37129 70220\n16449 34248\n16064 20543\n5440 21302\n8723 47616\n82324 89781\n1840 92834\n7934 16757\n60242 85295\n10035 41761\n9385 68335\n65257 86758\n71129 89826\n15969 56239\n22922 99105\n1815 96626\n2868 42952\n52012 76272\n16983 77799\n24780 63294\n82225 86388\n59554 87500\n77088 88024\n51372 93830\n9949 62772\n46112 85713\n22501 56736\n1905 72738\n16220 46835\n9438 37067\n21008 67055\n25891 39693\n2187 21213\n91183 97255\n28739 45988\n32467 85922\n3527 35335\n63508 70480\n4754 33835\n175 80098\n48181 93763\n5610 32325\n40051 66694\n12624 25275\n62628 62922\n49545 83639\n64537 66653\n68068 83663\n25244 87032\n70419 73077\n78188 78498\n16508 54586\n21401 88760\n58426 99908\n4797 17217\n15866 78878\n16338 30863\n60075 66546\n22206 73909\n56082 66861\n63794 79965\n11371 85771\n25025 82937\n26407 53869\n12520 54659\n71192 77843\n47307 51480\n1068 7023\n12338 29082\n42709 94328\n65310 95531\n33206 68009\n50477 77613\n35449 84718\n23166 71035\n40157 79663\n28626 30801\n19706 70864\n28283 86417\n62681 68901\n24790 42063\n10759 35488\n41922 88933\n14515 17421\n50191 91872\n35361 88270\n64732 97662\n59798 61198\n1653 15636\n41049 89764\n54789 86876\n42857 80554\n13767 97175\n30617 62034\n5581 8436\n29439 50051\n62981 99089\n4433 96305\n15714 99605\n998 83389\n41508 54535\n40130 69209\n42051 79065\n9843 45788\n54542 62398\n50384 83478\n11723 73018\n37251 54847\n40749 90474\n33102 93510\n71987 89585\n19036 42292\n92526 92630\n76668 96350\n29919 74901\n15206 49122\n31119 32491\n54468 79053\n5409 39835\n55304 68561\n38185 83577\n51800 77823\n88023 94876\n93051 93494\n16182 67624\n57707 58510\n41234 73297\n66592 74300\n14891 68184\n40646 41878\n4340 98816\n24779 54393\n6795 22721\n42655 97012\n31110 85897\n72080 76493\n6482 29687\n36048 86521\n35055 94433\n78345 93426\n17970 55642\n40395 76460\n84408 92859\n12574 45910\n78920 91907\n22269 38088\n23749 36092\n8886 46926\n39985 81472\n9621 78251\n26852 36940\n20665 91435\n46051 47998\n33663 57470\n50583 76267\n45050 77346\n30980 32898\n68589 73585\n76359 79452\n41310 65338\n24153 85748\n44868 67602\n30654 40901\n38661 72795\n46838 52563\n13896 66057\n6045 52563\n34026 58076\n31782 55747\n42558 72245\n3207 5658\n44455 92198\n70880 93333\n21186 29415\n60725 93041\n59353 82110\n24876 35789\n2030 18975\n2952 60087\n7055 47828\n50702 99702\n43590 99362\n70732 96062\n73080 95855\n4583 12739\n31554 93903\n10533 42565\n17112 36517\n50431 65815\n55614 57188\n13339 24225\n26518 29319\n20846 31945\n11876 65273\n61841 71628\n58238 95956\n21227 83611\n12610 41206\n4530 10950\n29393 52995\n14428 68812\n26547 33350\n42707 59928\n15517 98433\n3248 45011\n52052 91756\n36097 54452\n65572 87250\n13841 47506\n7740 15694\n3207 9097\n18866 87791\n15745 25379\n24772 59354\n7735 47678\n20097 75988\n7311 14756\n44120 76413\n1482 95893\n2364 55702\n65848 78798\n23133 66824\n4292 40870\n14879 37405\n18571 29611\n25068 65430\n22530 70622\n12444 63843\n38405 58435\n28255 45937\n71611 79440\n13234 66708\n1972 22893\n15999 81174\n72153 92539\n19679 98288\n55433 92771\n16314 51437\n66101 70190\n53604 68230\n6321 94049\n31941 48413\n47906 91168\n7061 53928\n38128 69256\n65273 86150\n11814 90258\n3719 29963\n34252 35780\n31975 82431\n19444 96890\n77480 93561\n69367 84645\n4513 17677\n14380 41155\n9685 17438\n4889 54205\n36185 63711\n78363 84603\n26430 82289\n45846 71966\n18890 46909\n8146 12205\n24090 96026\n37553 84192\n5270 85151\n53561 89330\n46394 76103\n8142 94855\n5636 66894\n73927 99582\n8894 32171\n4376 92275\n25247 31586\n71602 91202\n3700 59571\n57656 81150\n13491 16135\n12617 40779\n19639 38001\n25063 52319\n87964 92839\n58863 76457\n10038 21958\n24288 68776\n27856 43041\n51671 99029\n83275 90512\n72058 80394\n4512 91960\n13547 35652\n4654 28386\n21867 29010\n3068 88392\n44161 62224\n41791 74455\n9138 49799\n33713 69488\n12171 34397\n22615 36391\n5207 9656\n61049 78210\n399 92977\n36728 93105\n20677 98123\n26218 76960\n34681 81250\n54485 69895\n48930 53128\n56800 87324\n17254 44287\n1475 17256\n75867 80171\n30491 95712\n43162 90622\n10040 71485\n63984 73144\n18065 29310\n20315 94312\n6278 22122\n937 63891\n45150 92658\n13267 48667\n39434 53196\n44213 64607\n42954 62225\n79152 80448\n40605 63018\n46220 59080\n23374 49826\n21915 88080\n4933 99070\n38336 99512\n22088 83835\n59287 60282\n35865 99643\n4243 80938\n13565 54825\n18483 58935\n3787 37335\n15974 98481\n1179 95004\n13650 34827\n51267 78110\n24683 28923\n48091 55659\n43313 94277\n7248 13488\n48479 97669\n54559 85555\n25163 93731\n27972 91164\n34007 95978\n10025 83804\n23728 40560\n6187 77252\n75060 88995\n5305 25109\n80275 85664\n27003 98109\n22870 43762\n20769 26205\n42732 54531\n28268 33356\n16056 70221\n59451 64232\n14998 72273\n13949 48893\n31837 35443\n55142 75353\n64773 65371\n52543 55120\n38774 54114\n9389 50071\n43939 52264\n10885 30422\n23788 35052\n43488 75576\n28030 36215\n7113 33036\n11686 59364\n723 7655\n37914 48379\n16195 91160\n2186 36114\n9956 63388\n61966 63893\n9845 31336\n30908 66062\n26008 52320\n24824 87307\n24370 36688\n20891 49751\n10226 33019\n35641 92127\n498 31154\n39926 97251\n62195 63130\n43953 88399\n2387 44868\n16356 97703\n13612 34260\n69290 99496\n450 12265\n74955 88983\n14783 58242\n60784 83971\n66658 82422\n35367 80175\n58043 76280\n13336 85305\n85739 98207\n45229 96941\n74198 85438\n45537 46772\n40524 76386\n26833 39512\n58034 66780\n42666 59738\n280 55640\n2878 48042\n1017 37482\n69287 86307\n17250 17491\n6191 62543\n28313 36989\n45009 87509\n69422 83313\n53629 75684\n7659 37839\n13122 77443\n12462 40403\n9136 22092\n50939 95748\n21444 50897\n57581 71768\n688 2408\n49191 63877\n23452 72981\n18415 69481\n44646 50339\n11209 41793\n32139 49686\n3406 98960\n43768 92621\n71223 80757\n39944 77446\n15809 19354\n72106 88545\n36483 74309\n19418 27343\n49934 76153\n40886 78244\n7643 75118\n66525 79143\n58618 85284\n75099 84549\n2748 96415\n38394 76492\n42574 58316\n49450 87070\n11399 68930\n18646 22450\n45075 73792\n8211 50724\n4418 12177\n54977 77339\n39622 97201\n11063 83006\n86269 95169\n46457 64629\n65543 69373\n35128 64759\n75859 86538\n48068 76042\n48220 65619\n23218 74767\n70834 72637\n27042 47039\n34252 99395\n19142 55885\n51266 97161\n66463 92876\n30567 88800\n61732 82488\n39353 87311\n68268 98035\n43560 64861\n52489 98877\n33228 44559\n94931 99866\n15811 86899\n73641 99910\n28252 48278\n61748 92680\n2959 58465\n4139 97515\n23685 77625\n40209 83348\n4373 23490\n17226 70890\n80350 91320\n63338 98594\n21035 88573\n29100 35342\n14189 77339\n29089 82239\n38337 52886\n5583 30803\n18470 55000\n56184 75670\n3084 84032\n14827 93157\n55488 92400\n3652 84409\n69686 94994\n8299 78363\n41161 83175\n11035 67160\n66587 93900\n44947 84943\n15104 83926\n18867 94769\n76699 78119\n9528 94124\n29 61659\n9082 29949\n15993 57979\n55986 68726\n8588 47264\n77796 88316\n24266 80434\n9709 94638\n45556 64964\n27583 75958\n10067 17400\n50732 91387\n13467 23491\n67927 84726\n59866 80457\n11636 97781\n9624 87609\n11598 48427\n7098 35022\n42081 92864\n8458 16358\n95280 99688\n20709 37283\n16028 26594\n55753 67593\n42342 75472\n49576 90179\n71730 95781\n51111 84117\n54453 91830\n39703 99011\n11590 33991\n12285 38444\n24446 26483\n74960 93104\n66385 70387\n52980 56016\n55352 78651\n31134 79204\n65315 67796\n27251 57875\n21770 94515\n31899 72347\n87875 99388\n21617 89240\n81442 83814\n36153 91779\n55931 88833\n4551 11230\n21442 94071\n22503 83450\n7496 23100\n3451 46364\n24061 96319\n43216 91215\n48702 71693\n7399 36453\n12549 60900\n14001 76095\n59550 96026\n18728 48137\n80395 94443\n11410 83851\n15027 73216\n26555 98830\n637 38347\n30015 62769\n17096 60493\n65063 84961\n23722 71921\n48162 85799\n12706 19802\n2538 3797\n65469 99828\n42921 63552\n40385 62578\n16553 84792\n17716 27978\n53197 93490\n33641 61051\n5657 62147\n19976 58507\n59906 84346\n57117 60179\n11459 91001\n50222 67874\n13078 89636\n7484 25273\n19301 87924\n31212 50906\n53101 55338\n83180 90795\n16422 61437\n44601 45257\n38930 87609\n90364 95532\n33546 79179\n6713 16200\n1322 18538\n25071 69881\n67247 90181\n29714 58345\n24154 55296\n44036 45256\n5079 96316\n5307 63225\n32929 86691\n48662 92935\n55783 81232\n18764 52504\n7000 8203\n44093 63850\n15025 16237\n13641 27993\n90381 92472\n57541 74532\n75528 94568\n53365 57492\n29490 82437\n43709 48330\n28332 92204\n31558 99598\n10270 29170\n35305 79924\n1595 15355\n33115 90661\n22528 83119\n6415 68533\n60795 80232\n53520 78389\n21166 93404\n37500 50270\n15268 32839\n20990 99398\n9246 63116\n24199 53884\n3063 40344\n68755 99764\n53632 78596\n7652 46270\n52756 95611\n46354 91001\n51912 77476\n11780 15277\n13115 24872\n1477 28591\n12439 98009\n84805 96751\n25180 81534\n12948 87432\n27328 27604\n1275 57673\n49772 68005\n45741 82339\n75075 78333\n61543 93886\n30046 95425\n52938 61042\n51002 98265\n19056 79129\n64524 82427\n38049 57279\n19666 76651\n7130 15409\n11297 11831\n42467 76821\n41156 91849\n18880 41101\n41272 55199\n54328 76782\n49252 96497\n27543 98769\n56212 70881\n13115 42648\n16894 59022\n26232 59869\n12217 99510\n50256 60583\n18265 73229\n33204 45911\n22191 34481\n19618 88580\n43051 78248\n33790 75764\n34914 84768\n39672 66142\n1639 80767\n2578 66825\n74258 82178\n12524 84671\n17991 43277\n10761 29591\n48836 57899\n5629 98607\n66066 85183\n19012 55934\n20190 46544\n24988 57969\n43930 93095\n37721 92635\n27921 68803\n55822 98890\n49656 79391\n6946 34880\n22736 64074\n68397 79669\n186 2659\n52230 75179\n4767 62490\n85792 90427\n49186 69921\n253 47795\n7293 67024\n30858 86554\n75180 82225\n12637 95091\n48127 57583\n11615 28657\n1255 37906\n4122 99766\n9018 23713\n469 51622\n26559 41307\n25856 39155\n46117 80087\n38469 74111\n39306 56065\n1661 77510\n67144 75119\n46061 89821\n44203 53250\n71592 87185\n22989 91272\n10805 90994\n26506 36128\n54994 92353\n9169 29056\n45762 80845\n54445 97634\n47751 48783\n4191 36655\n33167 42835\n27661 36624\n45244 80584\n23229 68380\n19886 49571\n18727 23459\n25976 38126\n21717 72449\n22071 38365\n66577 70980\n50739 67563\n18184 89611\n66040 82942\n25657 80035\n4114 76624\n68018 94885\n4279 21347\n28845 91543\n23648 93688\n56880 71355\n60494 66099\n11221 74613\n21309 63836\n47871 48418\n11098 92834\n46739 99591\n26514 43780\n48275 65679\n24184 91904\n47650 70804\n33092 82915\n87805 90448\n60101 69267\n15980 28586\n47689 53219\n56745 60528\n2649 63862\n10460 37415\n2878 85808\n5550 69725\n5521 87702\n45203 83697\n53961 88782\n46976 86492\n63700 80881\n25723 53789\n23491 26621\n49579 94333\n57675 87665\n32874 75612\n44363 61340\n87598 92511\n35086 70038\n59080 86172\n2508 98443\n84491 85659\n63963 87220\n42998 76829\n10542 99243\n25392 30347\n6221 45419\n9950 40082\n75227 96980\n36489 81101\n48351 81913\n4813 91793\n9634 49994\n41087 90508\n45028 57323\n60439 86798\n56752 66446\n36713 80193\n31903 97788\n64254 95527\n46884 55356\n28139 61692\n78860 90841\n59860 67301\n47063 71157\n57839 75806\n41489 58117\n2541 49963\n31588 80929\n10659 25863\n96057 98870\n6613 19047\n3101 28116\n40639 62896\n62208 63196\n54252 99860\n43719 75031\n12408 74419\n39359 82537\n48429 82705\n2158 97375\n31075 39656\n13877 37493\n10211 51627\n700 42090\n19624 60452\n6802 64746\n53240 90972\n30161 97311\n31358 59969\n18573 87079\n20677 40418\n23094 44559\n21815 72705\n10683 39422\n37303 98351\n51617 70674\n62711 64498\n10158 18293\n48577 57865\n19834 38964\n2649 43236\n17826 20616\n9503 90567\n3147 16254\n57333 64758\n40874 94226\n50536 92664\n5608 67774\n28222 51098\n1538 18680\n6233 30374\n29735 31136\n358 43744\n48282 91439\n78761 96353\n17431 93719\n17672 31193\n82571 91463\n35247 70420\n13600 63007\n32590 43024\n9590 10847\n141 53215\n4699 69285\n26354 44594\n2102 96995\n27349 41113\n41118 90842\n58166 84790\n3085 56517\n21659 49108\n15868 39394\n22384 95805\n7664 73265\n16779 68855\n10712 46111\n68229 94288\n2288 94537\n56193 76821\n60672 88846\n42097 95655\n13869 39259\n30608 62934\n39416 95493\n11228 98082\n73132 84263\n4854 30339\n21833 71917\n61561 89790\n62605 74643\n1021 60599\n45798 72357\n55871 79462\n33164 58937\n87773 88073\n15639 44307\n30192 54640\n3381 83598\n58369 74073\n15584 96400\n27363 97219\n21387 34169\n77198 78064\n23471 25904\n10121 17212\n9395 55234\n55931 67211\n19955 98321\n57327 62919\n41305 79409\n56815 69288\n4498 57272\n26643 40730\n45045 85313\n3738 16335\n28166 82403\n19608 32416\n10398 91446\n29567 54634\n69978 92307\n34224 56429\n10434 46277\n66690 84803\n28221 40306\n7677 13501\n16682 77763\n29164 29987\n22760 40153\n40312 88495\n35740 69981\n13254 44543\n12422 13916\n80562 86337\n462 78188\n65997 85421\n39474 55108\n59126 86196\n46216 56045\n11733 70871\n5085 83033\n18534 90215\n3149 97215\n125 33571\n9449 40042\n12822 77376\n3810 96441\n46574 95919\n6105 55201\n73106 85381\n29156 31145\n69345 93844\n3689 13036\n24278 59914\n61635 72069\n19761 35001\n19794 49226\n21271 54743\n4088 89059\n24952 86546\n10829 33782\n48244 64882\n57868 81203\n2784 29712\n83120 95789\n39910 49799\n13369 34240\n20575 47838\n16172 37022\n54961 91882\n84698 92759\n30854 68343\n75745 84010\n12820 43700\n42455 79378\n32722 45160\n8903 89739\n9706 55402\n43869 83067\n700 46203\n44309 61484\n45312 56064\n17683 70500\n59756 89045\n86802 94426\n5846 72768\n22396 46617\n12714 28015\n59430 88949\n23129 73487\n1246 96374\n6662 89880\n12714 81879\n22840 44161\n67635 93799\n17299 64918\n22076 92783\n8621 17275\n20552 82907\n60407 91142\n61555 78074\n16298 77036\n51205 70957\n12527 86365\n13572 61235\n47504 78837\n14269 66005\n60954 84561\n34856 35256\n21802 24717\n17922 98466\n40671 88533\n40305 94329\n14269 67367\n6405 80228\n71761 76875\n19755 38626\n76103 76364\n65677 77834\n17449 96948\n36401 40521\n42894 78456\n78203 97969\n6546 36341\n2282 44022\n2121 48536\n43372 69703\n48686 95999\n42192 95036\n58316 69709\n4995 92924\n13593 61668\n69444 78841\n60226 83464\n4800 53784\n27920 74059\n73 43615\n35122 72429\n87238 92156\n71407 80539\n14400 32596\n11977 54383\n27381 52331\n5934 59168\n54468 96330\n3676 25576\n26972 97103\n8984 74709\n49999 98833\n23969 27244\n12446 59413\n55094 69181\n70071 72505\n15746 93805\n44752 88343\n79966 96513\n22575 96705\n16228 88596\n31898 95393\n41429 52271\n17304 69460\n28007 47932\n14946 54626\n18979 70580\n3533 54437\n28472 95933\n13860 52086\n9350 14457\n20712 55757\n6931 75858\n9452 30261\n25329 67425\n54812 75725\n31350 79365\n156 73196\n16666 52854\n35793 46613\n15472 81057\n65285 83868\n75735 87354\n41494 71247\n78524 89571\n13753 39460\n46886 98417\n1627 27922\n24860 81290\n29016 94726\n10635 15574\n29030 44391\n48262 54343\n20230 99773\n69042 97976\n30710 89830\n23666 73309\n13375 57947\n52967 90248\n41812 99542\n26382 93744\n34567 45976\n30492 60934\n60049 68082\n24748 58208\n71509 88003\n64413 88217\n60316 91429\n10540 12151\n54844 74125\n5010 94316\n73485 94154\n80672 84923\n31765 38102\n2116 90807\n66156 82247\n198 80880\n13625 25491\n46046 77992\n46636 60557\n5168 9280\n23649 92138\n50121 88999\n50691 69627\n15273 42395\n75047 81338\n55536 78330\n40055 99334\n26286 37581\n19531 80963\n46817 48418\n19899 26484\n24041 29519\n72873 77190\n20984 54833\n22630 26469\n21811 28386\n39941 73656\n59926 66671\n19534 75378\n26733 79669\n17952 46214\n34689 39223\n8328 77003\n42031 48330\n21438 67581\n6421 42098\n50858 95417\n15764 37157\n44297 65751\n7416 61171\n29116 88073\n6721 43804\n33812 48647\n18481 25621\n11139 13716\n1446 57350\n76242 84993\n45994 86893\n10205 80999\n17022 91661\n27389 29816\n14665 15075\n37946 66540\n33497 73922\n22304 44515\n5449 51277\n1656 88961\n46012 71920\n76058 82734\n5563 93625\n10179 88323\n67992 96560\n23391 68536\n31295 87772\n21146 37116\n22603 62653\n14854 75303\n34137 94001\n6351 84753\n34561 45966\n70996 89050\n27063 81813\n39694 54333\n43660 62797\n47923 84228\n32618 32837\n21880 81942\n60501 82670\n67313 91992\n90714 98351\n6091 76766\n28761 49467\n2237 26205\n37316 96369\n52847 78559\n38098 71242\n48064 51598\n574 53266\n46606 54397\n37068 67536\n65590 83721\n1262 26025\n16461 77924\n70619 79664\n68157 69234\n36932 40782\n67817 79078\n15182 76461\n34018 64893\n33365 87183\n3857 60354\n11016 83383\n56049 66156\n21861 84226\n2917 71453\n40447 55757\n6368 99819\n38240 48013\n66954 71466\n71952 93727\n46816 95960\n44627 76921\n76624 91503\n1589 22448\n55294 60421\n50057 62001\n28510 36683\n17242 32404\n53254 66527\n14393 42999\n80720 83798\n37071 51026\n32208 93497\n37302 45963\n74653 98438\n34268 73004\n3498 89928\n15919 87859\n7484 89958\n1614 98331\n64654 80484\n31596 92334\n18760 66019\n64295 65763\n43852 59048\n59471 62455\n84536 86607\n10905 73850\n31359 36179\n38998 58157\n37284 74467\n11318 66920\n54679 62548\n35321 38299\n31783 84380\n79094 92781\n19398 54473\n19919 51752\n33744 58338\n41232 94665\n38212 55407\n27223 82439\n46412 94358\n42538 42679\n87417 96402\n7492 84870\n39838 98616\n45643 93162\n11249 44684\n8730 45597\n12943 80886\n36387 92243\n55433 85750\n26117 77596\n46280 97413\n54207 76763\n39092 61893\n10976 98914\n15786 69324\n1931 57833\n54771 59076\n73100 84397\n5617 47186\n62799 97473\n36497 48664\n32869 64867\n11506 16240\n6174 41279\n6832 11979\n19137 60600\n32052 43420\n72320 75401\n17582 40102\n42373 79003\n5995 44201\n15284 36370\n31381 78455\n3013 54072\n81471 86436\n48752 78676\n2883 15330\n15054 78066\n38678 89312\n71580 99264\n6837 54046\n27723 74866\n34300 67766\n37265 90744\n2805 29855\n24593 86379\n21435 63882\n19887 77570\n37985 94281\n5936 53630\n89909 94700\n57409 90500\n4371 55906\n6003 46098\n44153 70992\n17058 97754\n21889 58913\n45111 45769\n14253 50518\n40851 91711\n49906 60796\n42866 67038\n13864 46471\n15218 89605\n66282 95926\n86959 90126\n18609 44754\n39572 76615\n26048 81449\n52183 77939\n7498 53879\n31586 59892\n10938 88485\n22260 22265\n37928 59170\n1078 36372\n85996 88596\n76680 79328\n10143 71844\n6832 32946\n62310 74675\n42714 72904\n33247 97382\n17774 91992\n33923 48821\n2995 16884\n49677 57401\n36450 41479\n59889 90287\n30524 66899\n25596 57457\n36276 51618\n34598 43313\n47408 75153\n11250 46275\n3872 57678\n11402 95395\n11942 53298\n2458 57023\n20602 31564\n9982 97209\n28037 32201\n26449 65567\n51681 93697\n73069 76993\n4846 98287\n1079 22115\n26263 67003\n43702 70752\n41016 83193\n30427 98310\n47177 55880\n24736 28637\n54065 73794\n4578 17084\n36015 50984\n21133 75688\n81966 98566\n10822 12622\n66394 66611\n67307 74116\n11942 42714\n11572 36849\n46955 81759\n49067 50031\n51227 71793\n5624 50483\n10559 35904\n5471 63768\n32750 85163\n23334 74286\n16145 97187\n67603 96882\n61230 82624\n39565 83203\n2690 67337\n25803 74234\n18346 59306\n29225 70200\n28782 31406\n13754 18489\n71169 97748\n72750 79908\n19396 19960\n44815 97851\n6575 32205\n15072 53715\n2586 34151\n24066 98033\n3670 69849\n17022 17865\n75327 90961\n31141 66833\n16483 30831\n50607 77789\n44473 60760\n10495 11219\n53553 57429\n94566 99683\n20556 81017\n18740 44055\n55953 71178\n83368 98719\n8158 22481\n19255 94139\n58619 71483\n31743 98053\n19307 24072\n31104 54270\n36548 41732\n902 61036\n43406 77325\n32527 76857\n47213 78002\n21680 24522\n76787 98385\n20339 93297\n67263 72651\n25648 45713\n16169 63373\n11055 87269\n15494 48834\n35295 39407\n3915 56943\n10243 81611\n45306 72106\n68906 95409\n44208 68021\n32957 55300\n7985 63107\n43811 66694\n66902 68074\n17021 26651\n21264 54521\n30836 44435\n27734 52386\n66335 85477\n54807 62046\n31898 39683\n77730 87591\n5757 77151\n11725 96446\n28861 41822\n20141 22554\n72647 80799\n9259 92658\n55086 75557\n4464 27899\n3636 21108\n13789 56041\n40233 66192\n7262 12700\n40184 87383\n48713 91281\n43086 71926\n82501 82838\n43583 98670\n507 66696\n6221 94220\n93560 96253\n69820 83101\n4664 57832\n10787 62573\n30389 38945\n58615 78891\n14353 98049\n52318 73976\n56003 93939\n92287 99540\n14680 80026\n9779 86405\n24062 92873\n40478 82901\n55620 91941\n6473 11780\n26575 74773\n31503 49465\n53930 58959\n8140 20108\n9426 95531\n31425 75907\n10670 23691\n61090 77363\n34533 52200\n27337 53609\n27586 49468\n4106 31799\n56840 77865\n11916 94400\n36024 36100\n49174 94072\n8398 12207\n7044 27468\n44558 48435\n55892 88587\n14568 89457\n56470 98211\n5323 53310\n2718 84085\n20272 86521\n25834 83194\n1586 99093\n36668 94764\n8316 47803\n38582 62252\n79302 83939\n18452 54335\n61501 77159\n312 26949\n11439 32750\n5592 7548\n49077 92062\n2981 76790\n15465 74915\n13237 43784\n20969 37304\n41432 74735\n12071 41129\n30146 76039\n40565 60265\n21981 36909\n59472 65255\n39780 73981\n2797 13250\n6518 82123\n40328 95790\n30937 64267\n70882 95733\n45184 69810\n70777 79178\n56241 59118\n2633 99608\n28695 74921\n17607 47453\n20759 55254\n53484 94466\n30052 35550\n43342 61818\n20005 24026\n63202 93534\n7821 16194\n17446 59518\n91143 98629\n37622 98229\n17576 68805\n53888 95616\n57993 63922\n36506 77210\n59704 91856\n47798 97560\n46158 62862\n16335 83824\n7579 49028\n7155 39081\n40273 68852\n7592 96676\n38038 68518\n61950 97609\n7569 7681\n81151 89868\n32835 73629\n14074 62955\n7402 94403\n21290 79978\n77935 78674\n15775 53676\n56512 82841\n24336 84926\n44374 83606\n11315 38779\n33996 90568\n53244 81776\n45577 92033\n83335 93049\n18880 44206\n45096 84893\n65146 93928\n8146 58125\n55848 93286\n4119 34281\n71525 82399\n47753 97617\n52071 70122\n44871 53769\n65593 81477\n5059 99105\n19716 84361\n63 54229\n64634 78150\n4150 30583\n15423 70945\n1294 41841\n34309 39349\n13929 31496\n10929 40631\n26562 60376\n59430 65631\n30968 64646\n6040 81388\n54814 66802\n55299 91848\n70324 77410\n36258 71082\n67286 75156\n36727 94207\n1657 69677\n6194 93113\n1871 81122\n29223 90796\n17699 81164\n14889 38563\n65628 86264\n57957 68976\n43831 81958\n64531 95729\n47281 99693\n27862 85158\n53557 86870\n36698 47494\n44670 74232\n19734 49300\n47773 97619\n17903 62815\n87353 95531\n21332 69471\n40516 66720\n23777 98383\n7121 55307\n73615 97458\n314 53448\n7494 29673\n15120 23810\n67376 71043\n58705 59174\n15721 74568\n56705 59865\n4506 90977\n29677 54308\n7982 30701\n69184 85885\n502 1258\n42955 69597\n5791 37505\n11764 93240\n47400 51151\n23271 76174\n17518 92137\n46352 53559\n52757 82075\n12515 94529\n49811 51507\n52707 93319\n38196 60186\n21114 23687\n16562 53102\n39391 51889\n13567 18190\n33233 59225\n1980 14726\n49264 78177\n7893 61207\n11183 33456\n63839 96344\n30354 36603\n74305 80056\n22055 61913\n8082 84373\n77525 87828\n33416 40455\n7607 42845\n18010 62904\n8433 40936\n77747 77997\n45903 48613\n89173 92374\n2128 60182\n32326 47481\n61196 96271\n27704 98886\n32767 38749\n44938 94848\n7975 87868\n23971 36007\n53925 56921\n20053 23155\n6459 32529\n10210 87951\n33113 68608\n52472 57256\n58354 67105\n77831 83598\n17747 21256\n62957 95843\n11571 35708\n31231 65665\n26049 38705\n13274 80482\n5640 7017\n31251 73093\n39364 54389\n33540 55367\n52744 62470\n57824 66503\n59690 63586\n6453 61614\n23456 35560\n33601 74756\n16211 77658\n21228 64108\n52733 78624\n1381 39153\n60125 73922\n46661 69129\n71263 83803\n25918 72477\n14567 76398\n16113 55524\n57077 81334\n5440 42878\n73041 74535\n14548 26267\n4309 59130\n42459 94853\n61850 93484\n5764 96568\n28270 57086\n73107 84032\n37931 81839\n67077 98528\n1180 80578\n17425 88152\n41235 81721\n22017 68699\n34210 44905\n40538 94889\n26668 29494\n30157 52943\n37708 93399\n9124 94303\n49333 51195\n61801 62989\n18130 34823\n52463 75543\n30138 48759\n60777 71538\n28203 81880\n81258 90676\n23773 24127\n9649 63521\n22041 99134\n11021 59128\n6764 17306\n60079 65028\n61842 70182\n4134 4786\n42005 49465\n80739 80767\n5132 41855\n20092 79244\n34922 79546\n55033 87611\n53273 73861\n9568 38466\n77666 86786\n2001 26430\n41071 84542\n30736 97625\n61323 83780\n76246 93010\n7921 54518\n17598 42109\n45926 60970\n68291 83945\n40548 51684\n5789 54744\n30984 90352\n14374 40158\n8999 74730\n3191 64214\n32230 61767\n22170 22424\n13971 74456\n55175 98945\n31267 59753\n26728 89529\n37038 44353\n43962 98479\n43446 69912\n22196 29900\n46048 89861\n22579 37478\n17750 54198\n12400 28284\n62734 76079\n29091 89360\n66165 71116\n64566 76222\n13902 56591\n8605 99137\n9479 44422\n1940 83867\n63258 63276\n7813 75907\n62382 89801\n13931 80637\n729 75503\n14827 93816\n17214 46937\n65816 68176\n3535 13480\n37150 80015\n71762 80902\n14334 69442\n27481 42621\n326 71817\n25745 94591\n2001 21427\n945 40893\n22744 77417\n36528 58851\n7020 10572\n6757 39433\n31199 63177\n93636 99619\n82613 86534\n32869 41387\n82420 85413\n36792 75996\n10193 12582\n34841 53031\n52812 65462\n6301 11928\n35583 84464\n46780 88506\n9243 44086\n22315 97788\n53734 96174\n16910 42403\n52442 64741\n17988 67092\n130 90934\n9547 21786\n40054 46182\n72336 94009\n7139 15834\n19486 43765\n47595 62541\n29507 71061\n31188 63550\n8596 60534\n21477 39190\n29119 99208\n7665 90703\n71516 80723\n50328 63396\n6906 98409\n3288 99547\n62403 90620\n20711 81491\n62833 76565\n16322 53781\n19574 94319\n45837 81401\n12135 70732\n7150 80147\n16654 30209\n16322 16810\n15956 25490\n34517 51891\n55224 81469\n34319 63034\n82413 91919\n74108 80147\n75865 77178\n43225 64984\n2128 84867\n39763 97566\n55622 83837\n8824 85712\n23361 74196\n4446 99539\n71131 81177\n75280 81751\n86333 98032\n66433 97480\n7796 13857\n12010 97543\n52873 88190\n15171 52848\n18144 21185\n52384 82281\n12608 91922\n30945 65589\n13583 83849\n13155 58717\n12871 33786\n17179 34902\n40369 64884\n60422 81999\n4678 32357\n13274 78402\n642 27331\n79582 94204\n11737 35796\n57237 77560\n58646 85642\n26686 56301\n21554 64266\n34003 89169\n19626 25641\n642 25797\n26373 52131\n5335 74320\n18290 40746\n10212 95319\n5305 6074\n16461 30524\n20594 98558\n73464 75789\n9203 86201\n37856 73493\n46884 66945\n25834 62338\n27050 55341\n7067 39305\n16681 40223\n33836 62746\n38006 62988\n71595 74162\n5024 91091\n36747 70879\n18084 26847\n24572 74950\n312 42555\n35876 82223\n53895 81182\n545 22691\n26831 79847\n72859 88551\n32577 43617\n17143 51338\n23585 94535\n6040 16730\n58782 59226\n4876 77380\n19720 95778\n48171 88041\n13341 50361\n40270 52873\n64548 80878\n74623 92937\n1375 72363\n39655 80446\n20873 52656\n40121 65579\n20179 72188\n6968 88829\n53169 87997\n73228 89248\n44568 51114\n42154 78177\n44034 77666\n3935 53983\n2734 16697\n7393 41769\n33878 67597\n14795 99022\n1741 78466\n6873 24587\n5724 21424\n35818 93163\n16272 97248\n13455 39794\n35352 84094\n31572 57216\n14080 33283\n4671 59900\n34452 98431\n30684 41905\n162 68093\n23567 72190\n2529 44829\n4852 73564\n78358 79103\n50915 64533\n30339 88421\n7833 37067\n65917 80363\n8826 58911\n59110 61280\n75715 81835\n648 27787\n30274 62722\n17691 41596\n37443 48496\n7671 72242\n27839 85038\n63380 89074\n37646 42768\n18127 52389\n20615 65624\n32990 73708\n3337 37538\n71326 84148\n3700 16998\n6841 36708\n1436 53528\n1646 8796\n16042 54030\n81028 82082\n47205 99547\n20362 75671\n5208 44154\n23890 78438\n8327 87328\n80 16091\n19906 63627\n36516 49773\n44290 98880\n82764 88904\n80065 97046\n49061 62341\n23774 25602\n5139 93578\n5298 40663\n15361 98717\n19769 88838\n31434 56863\n34739 92266\n50856 78520\n48824 81749\n6949 10085\n77807 92238\n65097 96133\n11603 79436\n32732 41101\n26686 32765\n3627 92613\n40281 95009\n12804 33537\n676 70342\n37193 66993\n84706 99283\n19152 24080\n44268 45685\n58005 61269\n18734 88552\n4139 72345\n7777 24936\n2357 54494\n59306 70368\n11892 12268\n85529 88983\n23351 68030\n14007 38203\n11406 88733\n3739 8793\n46191 79689\n17982 61128\n62599 87466\n2766 89611\n64589 99570\n53347 56143\n1632 15522\n34395 74028\n78212 87939\n92107 99656\n36081 71469\n9337 17247\n38177 47516\n62976 73388\n12084 25179\n9145 82847\n63562 98568\n51320 56877\n22717 50346\n2223 70884\n38091 84788\n42214 54484\n6120 8651\n77539 94014\n21041 59142\n59107 98104\n17660 30674\n26903 77461\n20008 94464\n76354 87272\n43510 90971\n52153 77913\n1164 70485\n14901 81628\n46869 95741\n18781 28920\n54169 80889\n45142 84445\n47450 88728\n40363 49864\n20395 90040\n8377 11624\n3131 94860\n12505 77335\n1122 21909\n52415 87015\n35693 55552\n16013 92734\n5130 13763\n25629 73183\n62688 71759\n9065 26054\n45848 92110\n71042 97418\n50005 82042\n31496 39174\n20695 75015\n55611 74752\n64384 82457\n30295 46951\n56781 73445\n24450 89605\n60853 63986\n382 30816\n39163 50705\n27200 42239\n36342 97311\n65661 78189\n18290 37574\n28093 32381\n52271 75662\n46752 49824\n12192 63561\n27690 60539\n42963 68118\n73681 75884\n32180 84241\n86873 98206\n27656 69628\n14261 60192\n20378 77321\n31925 76261\n42024 85638\n942 89612\n8927 83576\n54095 60046\n31333 53708\n32474 54801\n76902 84580\n59331 75040\n15044 50588\n50824 88836\n25221 35149\n9727 83539\n72855 96057\n31815 53256\n49648 96058\n16559 69938\n997 49711\n55115 83920\n50057 75757\n50220 84321\n6845 9493\n32470 84625\n36730 65736\n68212 95941\n27402 38229\n74480 75588\n12340 49472\n22361 43941\n33410 83586\n41468 75487\n60823 78137\n97438 97912\n23068 77078\n18180 42174\n6151 82710\n65393 95519\n50151 55155\n58508 97380\n65833 66467\n19990 49989\n34351 41055\n19170 97869\n5756 75172\n12393 48139\n5137 8283\n4267 29628\n62912 81029\n20451 98830\n38450 82186\n45175 85605\n2659 40158\n58003 99360\n87722 97579\n11192 14639\n5495 17657\n8571 95284\n29838 57928\n57477 64478\n53576 94192\n409 69201\n62422 88785\n4734 63008\n3754 62901\n11910 98417\n11938 75872\n20299 36237\n8571 40197\n31139 99534\n12321 54027\n20831 66183\n66654 92066\n62094 68475\n37525 49981\n32414 45638\n64261 96970\n17285 85388\n10798 82636\n53325 76128\n28936 36579\n529 8484\n7700 48169\n11637 75061\n14766 93116\n52849 61455\n36806 37607\n3320 51529\n88475 99501\n13844 92107\n66768 70509\n43931 64918\n5674 37486\n19733 88917\n16582 69662\n29731 64907\n52581 56023\n50792 71388\n36471 69784\n12898 82738\n29625 30389\n14972 44428\n9758 48750\n14351 48211\n7187 61886\n14567 80724\n61491 94833\n4575 19420\n696 44608\n51509 91220\n24062 52205\n18424 39730\n16180 66013\n80634 85039\n145 84244\n47447 47854\n52224 82119\n741 3828\n11551 71811\n33737 42888\n78025 88291\n37954 81552\n4328 41949\n3981 64593\n72394 96382\n868 80194\n22019 99035\n8863 72189\n9802 99208\n58471 99347\n64029 64479\n3742 86281\n59649 85008\n4561 46040\n46181 57098\n27450 79058\n20287 31848\n3129 71352\n34443 82089\n5923 87518\n9736 40005\n13032 88326\n2943 67205\n5187 18649\n48247 56245\n62595 80347\n28641 42651\n2685 91558\n28743 48585\n87194 90648\n16065 72200\n17299 57847\n7331 61412\n52655 66580\n72520 85614\n20703 54211\n24801 78495\n8531 44190\n17144 90224\n3139 59722\n12700 73457\n49043 83497\n65575 94817\n30608 45153\n5700 80248\n29508 62343\n51620 78109\n33233 77619\n27716 28664\n10861 46780\n28992 40590\n34975 71213\n40715 47878\n52410 55658\n889 42773\n43720 56172\n62644 66630\n31169 52288\n12957 93159\n45552 59533\n368 10965\n92854 93184\n15948 99566\n3206 70351\n42993 88675\n77359 97831\n4 46882\n69372 82294\n16916 19221\n60065 97173\n44221 56435\n18631 61147\n26586 33521\n58646 75656\n49016 54187\n27401 52814\n48507 73556\n17969 18052\n93532 94840\n11012 27849\n24436 45529\n10832 89941\n5182 68904\n66492 98407\n23571 97202\n22592 93520\n53339 66233\n9629 53686\n95759 97969\n16330 19259\n18269 76375\n22363 25686\n3024 90158\n70076 88806\n50342 66873\n31134 32751\n80040 85306\n12152 22508\n40921 87681\n54465 62921\n72174 80345\n67378 89621\n34610 96940\n9052 78311\n52595 77931\n43093 73089\n5793 42163\n26316 32921\n15378 74374\n19740 48220\n21957 97697\n24305 93124\n4626 86657\n10211 89128\n10544 66932\n94479 94619\n36058 55368\n24919 55464\n39009 97476\n58081 86812\n58511 70784\n80792 99010\n2738 62536\n29973 78207\n2597 60756\n67486 90320\n41068 61016\n3998 34848\n49545 64520\n47353 91345\n19552 43478\n17780 92391\n18259 60553\n39955 89835\n1450 74600\n744 15017\n29760 36505\n73366 78817\n5313 79042\n19971 63235\n56436 60927\n4825 23327\n8797 26107\n2607 31529\n34339 34408\n25368 73071\n79583 80929\n62375 88154\n30067 88491\n26286 59300\n27300 66558\n20190 69877\n14852 43497\n24000 47622\n11795 96912\n2992 99019\n583 11050\n72817 74042\n2670 70871\n2923 57721\n7211 49813\n22459 72794\n9548 32000\n59798 83330\n62424 84160\n63868 71363\n24543 32807\n35794 49933\n25863 59285\n2926 86790\n10175 37625\n37990 42342\n51260 64475\n11244 48318\n43559 87723\n30878 79450\n44020 62763\n34902 42805\n4291 20376\n72758 97325\n3827 97623\n12743 16462\n28678 88423\n27993 69593\n66763 80910\n24344 77028\n31822 73792\n51861 60927\n41798 48612\n22649 56749\n58089 60794\n49234 82016\n54727 64603\n1845 16068\n7049 8546\n66367 96535\n42669 68838\n11675 49149\n66 86971\n15995 75714\n49506 78463\n748 11827\n20914 73207\n21525 57062\n32130 48125\n27929 87614\n12827 43775\n16601 45553\n9073 51367\n21774 63264\n68543 83222\n18207 86151\n29833 56311\n48849 74623\n25148 95134\n22248 95995\n38232 91760\n18273 47703\n9039 52479\n75111 77120\n25495 47620\n74491 83650\n12683 61368\n3860 88285\n25080 94691\n9284 94535\n1834 12286\n20296 75303\n795 13449\n8593 24050\n32337 84885\n50281 89521\n54402 58608\n68166 88223\n15995 45874\n83190 89854\n11923 28401\n73452 78426\n50519 53258\n10061 95761\n77066 96696\n4453 20322\n68325 92175\n28214 35531\n6701 90110\n35235 35635\n1980 25171\n54693 86360\n13993 95880\n10101 45441\n224 58003\n46551 79866\n83905 94129\n18540 67922\n70878 84354\n49748 81198\n42467 45389\n64085 81462\n9541 38150\n30460 43299\n71688 90424\n14116 94997\n1928 85515\n42082 55149\n8009 34128\n32230 45041\n64807 67022\n8900 38632\n12369 49711\n47848 84405\n47085 75191\n14858 32120\n38101 56833\n45752 91211\n55854 87555\n18754 59232\n3220 66533\n34242 41965\n31957 52443\n59344 80241\n18341 57506\n56565 89130\n96959 97453\n4338 88113\n58407 95614\n16684 22269\n5963 9812\n62740 77487\n41115 46896\n5354 41548\n64621 95873\n41633 80878\n47630 73137\n81761 97183\n15704 33751\n35708 95665\n62082 75605\n30917 39129\n16235 19849\n2013 8592\n91509 97132\n57950 75956\n47721 86738\n17525 20891\n16437 88639\n46132 93072\n25785 79601\n12131 31722\n43722 54494\n15781 20348\n5918 7765\n29370 34341\n929 72734\n2247 90064\n33582 43141\n67245 86673\n39127 81508\n43059 62146\n15337 56426\n3426 19778\n44191 76575\n10974 33588\n33647 96089\n8768 77619\n3402 89853\n9412 72456\n54637 65656\n44726 77947\n48376 55286\n29237 89642\n39220 76435\n35209 39971\n29810 94496\n11948 75448\n4775 58038\n22761 67858\n32220 71650\n14810 71922\n34629 95047\n46204 88134\n30880 91329\n87078 91081\n23594 31004\n6415 64578\n45535 79010\n18063 69219\n18284 86305\n18933 75953\n67866 88640\n21408 23404\n4408 77280\n13925 68545\n83079 94425\n24818 57876\n677 90723\n59086 61842\n19513 24230\n44885 56745\n28826 33495\n82182 96004\n15735 78448\n7424 92757\n24012 93765\n15234 32844\n42787 78726\n10967 13699\n64440 84966\n37619 74161\n11755 95961\n83881 98035\n25676 71799\n58027 87312\n26751 49498\n43853 85082\n31403 86094\n31147 52535\n20037 29764\n67346 89836\n67890 90883\n12077 79105\n6028 72724\n40351 89343\n6920 39078\n7894 54014\n13063 34691\n13910 42226\n47154 47176\n34330 48828\n59247 79424\n16578 99422\n25793 82783\n14114 94206\n9178 38570\n27309 67252\n5353 68653\n5547 81695\n7484 8562\n28427 39001\n28329 91473\n33703 99569\n28336 93841\n34174 76589\n4351 89992\n44656 57190\n40857 92728\n7846 51059\n15555 79586\n57092 86943\n25211 68193\n45960 96146\n77505 91639\n4191 40732\n12576 42663\n70171 81228\n62921 69949\n27100 42949\n29784 64475\n56508 76958\n11714 20723\n50353 67518\n12819 27732\n11768 92818\n46288 49195\n10926 49588\n44384 56830\n381 50747\n2860 95841\n10168 86653\n20506 30395\n78008 87810\n447 14886\n789 30018\n77405 78805\n17076 89695\n30862 77233\n11817 87198\n29434 51371\n38791 74924\n85639 96831\n12713 51506\n29406 88107\n20841 95849\n33351 97899\n42800 94077\n29145 73872\n33202 75150\n36840 53353\n58757 95180\n52257 69893\n11711 75936\n23413 69024\n69330 77427\n5541 62665\n30349 93462\n38996 98117\n22172 55040\n7016 82755\n59439 84737\n10698 68066\n49231 79332\n82176 98551\n7047 8419\n73712 88909\n6386 57710\n35178 64253\n96657 98018\n14925 35177\n59600 73923\n5777 95330\n1351 10173\n45459 77064\n83326 97825\n5489 47541\n19926 54272\n86401 95619\n753 75613\n22326 27441\n10884 41682\n28346 64788\n33439 58304\n29704 66728\n67681 94721\n17699 86273\n17808 57881\n13035 16908\n3328 88026\n35529 74176\n26498 91147\n40651 91468\n17505 21446\n72649 84858\n27975 82541\n33600 58078\n49199 49265\n79764 84164\n57590 65597\n23656 47656\n30778 80380\n69139 92368\n2897 23474\n5974 78921\n8349 65827\n88778 88839\n34943 93895\n53929 85414\n34694 71996\n21650 77483\n18250 92442\n18120 51428\n5734 7587\n47196 56798\n28169 72684\n6711 48041\n45213 99995\n2590 76140\n34507 66665\n21485 90645\n58401 81747\n51244 68265\n6988 33478\n7795 83508\n32821 52724\n493 20178\n88980 90697\n88673 91487\n75138 94645\n11061 67168\n26828 94122\n19370 46986\n9610 11909\n25686 39335\n31344 81956\n9130 31390\n24149 81501\n6720 14532\n45916 62103\n34281 99155\n40954 81375\n12798 99174\n25008 41664\n55614 81621\n24638 88738\n4156 15413\n5479 76773\n29310 80491\n17209 63842\n42591 96675\n40011 58199\n5026 75096\n54278 81056\n13563 66827\n49948 97053\n55255 65943\n57895 78487\n10325 43248\n1168 55492\n1433 29387\n47058 77994\n57707 84301\n66425 81843\n28381 93159\n10944 37707\n41158 47737\n75704 79667\n8627 93657\n6670 69552\n23242 98198\n37565 54901\n15555 35503\n33519 89294\n38424 67166\n23351 88457\n28196 91415\n5079 85828\n25681 36820\n47330 97924\n20546 77044\n65906 77601\n7409 56977\n11007 64993\n21880 92136\n16365 80308\n24619 63816\n46414 98668\n66732 75045\n33018 66302\n848 20733\n1559 97937\n73650 77998\n56329 95726\n42847 55972\n14422 94317\n25051 65399\n16359 24412\n34587 67433\n20299 28859\n41452 90890\n25450 66657\n78560 85899\n34377 84577\n15199 19449\n79597 87384\n4864 30958\n64028 92513\n40643 84466\n57514 66964\n83081 85614\n32675 84460\n10096 22600\n46859 64891\n14621 80817\n35445 48086\n5141 51825\n60442 97694\n26189 89113\n8049 13650\n33404 76910\n22046 23999\n37979 54376\n31369 46788\n85876 86746\n39381 86726\n14117 64354\n24747 36647\n65151 72923\n11642 49445\n76604 81496\n35118 56702\n50101 88638\n58504 75418\n2192 81026\n6339 87007\n17607 24793\n86654 91774\n12157 67550\n16733 36331\n6098 56265\n14335 53603\n16442 28574\n1912 13633\n29115 65279\n447 26901\n57917 57952\n65800 92515\n7960 79548\n70807 72909\n50685 67014\n40699 63674\n35351 67815\n14866 37024\n23662 68864\n1494 81430\n43301 48383\n25777 45834\n17108 92627\n40520 72880\n26108 37159\n28208 68982\n26139 90462\n23102 69356\n81144 83885\n66713 73533\n1261 17105\n2305 49941\n26707 95353\n52467 59275\n19003 28592\n48642 63571\n19978 37780\n29921 72525\n90094 99486\n10080 79960\n48940 69208\n51914 97260\n28380 63483\n73325 83102\n10552 94899\n85980 97107\n897 14895\n30398 35788\n10763 38480\n17695 95018\n20957 76878\n24140 46455\n52563 59212\n13466 28438\n46990 54782\n26766 42418\n71929 81111\n12306 15810\n31766 47102\n17108 88274\n81967 99228\n14492 36659\n1378 35063\n10286 41827\n5642 73639\n11868 51837\n9730 33325\n43047 87930\n72538 74588\n51076 85198\n15101 71920\n64047 72204\n10394 40183\n3178 75591\n13358 51767\n38527 66570\n10646 94616\n26152 70931\n21392 52225\n3653 37394\n7088 88856\n25575 78274\n58742 91696\n24013 56757\n57621 61149\n41359 76010\n43250 45402\n86528 93813\n20135 89303\n43545 76206\n64518 99230\n19522 43159\n15124 37727\n698 97312\n43934 81522\n36557 68448\n5430 6990\n54661 84493\n50413 88412\n86170 95999\n49548 74443\n33854 39470\n51415 68695\n57375 63210\n4644 6368\n52326 80720\n383 36654\n12299 14701\n3308 52132\n10244 48472\n49430 78494\n24187 24745\n69949 73825\n64265 71664\n33960 64783\n18798 23624\n13949 62729\n50424 90391\n14638 19298\n64368 98436\n35322 98506\n3539 46469\n48556 89090\n68409 72641\n92405 92652\n23192 52972\n36918 65361\n15430 62594\n40671 59581\n10223 61030\n24019 58489\n68684 86037\n61393 70038\n27122 55354\n51305 78050\n10832 80783\n1915 37153\n26946 61571\n52859 61564\n48044 99046\n40472 50456\n69276 93568\n51412 86743\n37589 38645\n55389 95217\n20984 86108\n11113 40812\n77545 83764\n22317 47187\n59132 59574\n39441 59218\n1136 73167\n34600 96180\n4503 96743\n27030 95890\n64887 70753\n84573 90418\n53277 86838\n20351 95307\n28682 33360\n75673 84170\n11879 53004\n46588 66792\n39580 95870\n12909 54491\n2451 98055\n7944 62180\n28347 36551\n16808 95751\n45204 65805\n59727 79481\n76509 85945\n65683 79478\n30351 62790\n17224 42703\n22671 80748\n49573 94014\n50656 74107\n71242 92787\n13464 97865\n6914 95185\n10806 16524\n30214 83707\n54926 89415\n25711 38817\n13251 17775\n56109 58343\n8747 63550\n80884 84384\n39006 84016\n16605 40330\n39069 51262\n16448 99046\n36110 73720\n4339 40519\n52824 82025\n46980 58270\n13022 41675\n21710 91773\n73876 76810\n41324 97434\n40233 95496\n1018 71471\n15 68994\n37415 59971\n21859 39756\n71472 88423\n58157 62171\n60947 86478\n9313 56082\n25341 95706\n70645 82700\n22661 26679\n88255 97344\n93874 94713\n45863 91783\n9583 52145\n8924 79967\n81747 93637\n7149 32165\n35048 69173\n40127 52250\n6533 83951\n6756 97503\n24729 84571\n22448 76949\n57772 64593\n64570 88523\n56898 63862\n35683 97207\n15044 64621\n54527 97764\n64256 87388\n45505 86006\n19994 57536\n32598 40798\n70509 92797\n11209 96115\n52913 85343\n248 32507\n25055 41464\n31 72112\n59300 68894\n88017 89957\n12321 84438\n32060 47087\n53080 69836\n17152 19327\n30405 43558\n23558 28149\n37123 94084\n19228 82493\n70638 86876\n25074 65355\n6744 67636\n27366 87264\n74134 80829\n49514 87470\n59960 67472\n35706 99441\n1204 73544\n35717 70600\n23110 64635\n3879 14844\n16117 29963\n59584 62053\n30387 44966\n9959 28748\n27388 54176\n9414 37523\n28109 86873\n16763 70021\n32708 83345\n27784 65510\n11242 66925\n27576 97041\n43154 66745\n58573 61519\n64629 95159\n15447 82588\n28819 93440\n1282 38381\n9758 32751\n6992 35362\n37581 41154\n33208 67443\n89925 98746\n26600 32657\n4048 82704\n11572 88597\n43216 63894\n13169 18471\n2336 10870\n26164 36793\n37178 92191\n35095 38982\n40559 61297\n22640 47569\n8718 48442\n27324 42804\n660 38088\n22438 70444\n9384 61222\n67086 89509\n62576 94804\n5868 48444\n12917 15404\n2216 22103\n5638 5979\n2711 87582\n59564 96097\n36790 51739\n42039 88047\n11399 75721\n70885 74966\n31654 72402\n49532 90283\n45437 88921\n79856 85652\n46097 96287\n2016 71775\n73871 78109\n40727 46883\n66068 94869\n57830 65022\n1036 88887\n4435 90804\n65064 75857\n51794 77936\n2638 53407\n44685 97068\n13399 45917\n58932 82747\n19661 71372\n22449 82228\n304 5834\n41482 85155\n1071 62648\n8105 73561\n5523 57374\n56108 79294\n21813 68553\n72832 98553\n34040 75680\n19026 86634\n22603 72390\n3996 61376\n24071 75279\n35488 88787\n8668 35108\n48032 86920\n61715 79972\n6836 68097\n55136 70639\n50369 59621\n8480 61099\n57919 64227\n41902 51151\n18365 88021\n14839 65331\n7138 18318\n24977 64141\n69414 97076\n59570 95445\n5377 42880\n67964 85242\n17279 80930\n44186 47862\n7594 49448\n60259 71163\n26819 47567\n15546 42379\n15345 38079\n16849 78648\n94098 95775\n83857 97108\n48584 73597\n96863 99108\n77888 95286\n13022 97708\n5928 81562\n23170 27371\n5975 91159\n2326 41718\n33631 64984\n23520 66649\n24621 28144\n2387 69696\n16324 25385\n63350 87057\n33903 57947\n8506 20732\n24157 77162\n76990 92249\n21535 49040\n35158 83027\n6607 18883\n62206 92898\n15630 94901\n58486 79745\n19657 52224\n43859 57342\n31105 51760\n61555 77092\n24922 74101\n15136 39664\n25963 62560\n41612 50062\n31839 88712\n83659 90577\n72158 93521\n51500 62056\n70451 89134\n46443 67256\n6335 67566\n3237 94190\n21790 63216\n40970 89897\n10050 78499\n4622 53308\n207 52822\n1783 92129\n32091 67052\n22690 29502\n32684 35486\n45310 60239\n49046 96342\n23754 52255\n5838 80025\n17292 69863\n26222 88958\n20766 84797\n5538 87067\n15240 61533\n74421 81294\n15581 95108\n15709 78450\n63354 82442\n22728 76770\n11755 81792\n12896 70364\n38634 57703\n55307 99458\n62849 67631\n65715 97113\n43783 54976\n21274 57944\n13069 53751\n2609 51064\n28920 79618\n8460 73448\n54432 90107\n49066 52333\n10221 78274\n42625 91562\n66822 72668\n27466 69511\n13127 23659\n57091 68595\n66984 77540\n5690 21162\n20325 69773\n66505 97071\n27094 40487\n28054 92276\n44155 73074\n31355 73719\n25562 86520\n15347 70536\n1136 43304\n28646 54090\n20432 79083\n60834 85258\n55476 70553\n26680 38569\n6922 74418\n40427 78906\n36234 80632\n13075 26284\n21709 80065\n8227 39262\n33379 92925\n20524 84769\n61513 61751\n45508 54246\n27676 80177\n8486 71727\n69159 89192\n62123 70310\n25898 77561\n31088 53756\n43939 70412\n38317 46811\n35013 94139\n34617 53364\n13327 15730\n78813 79617\n58202 72789\n47385 77108\n23063 83674\n33722 35094\n3795 12162\n9709 53187\n36544 76695\n4424 85108\n13081 50951\n36767 99114\n22136 72770\n18746 61567\n60670 80616\n21046 85259\n2838 85875\n72342 83946\n82486 92949\n25217 93476\n78672 88530\n67555 82125\n47159 81430\n13223 87159\n67053 85959\n28968 99253\n89199 91548\n29654 35943\n22262 31692\n43230 70014\n58045 97830\n12578 28339\n47250 56378\n61416 99856\n69262 98008\n74611 88660\n52191 99732\n6737 52124\n72430 75045\n46960 85457\n51427 94038\n10565 35850\n31437 73408\n25290 71022\n11445 51974\n71699 73193\n219 3509\n199 1379\n13741 79339\n49245 57849\n9060 99351\n1430 70901\n28496 65563\n76470 95482\n68156 80711\n59334 65661\n30174 41438\n33968 40571\n69214 96576\n72849 85737\n36441 45971\n60925 80416\n49710 53186\n3487 18510\n9495 97683\n15050 68070\n66011 88993\n45702 56004\n63564 76353\n8045 37328\n7152 75974\n6163 30074\n53842 86754\n38559 55572\n71086 91281\n6617 79583\n23865 31267\n14014 94366\n56738 68625\n30581 95792\n30649 32597\n11766 36047\n52275 70534\n23567 78891\n6401 35869\n3792 28260\n3725 89410\n38513 57055\n11821 27370\n47817 60739\n82524 88099\n2868 28538\n70392 72863\n72864 87252\n72922 90071\n28067 73836\n17977 29368\n1215 65015\n8454 65731\n82165 86096\n12980 47392\n66253 81509\n32724 37440\n27067 27816\n41365 86226\n19342 88269\n19097 96658\n44149 57610\n41092 65748\n45351 71448\n23794 75354\n7322 62185\n24799 41487\n13480 18468\n49188 72854\n250 29830\n27598 47281\n47284 89973\n42921 63301\n85125 86222\n58143 90053\n66781 93508\n49038 88338\n57082 97570\n83359 92910\n77354 90477\n13492 68419\n5133 81624\n33563 39748\n3296 36774\n48242 91973\n34388 47901\n6226 54413\n30675 43516\n6734 67370\n4144 48128\n37295 72522\n52075 77930\n10170 98647\n40504 99490\n52335 60980\n65164 92034\n25452 88778\n1027 92468\n12969 78448\n44482 85332\n9572 46951\n20485 57417\n5337 86528\n48742 76697\n40476 89515\n54296 58233\n44478 82756\n72572 97910\n41879 53150\n47200 93915\n5150 11306\n43649 68467\n68057 87551\n21484 42907\n51967 73566\n27646 58182\n71551 92158\n58111 60065\n96085 99181\n73280 84511\n31343 67392\n42317 49593\n48923 86522\n26737 86769\n28986 72617\n4136 21765\n9891 20018\n32976 44451\n4828 82675\n34904 87421\n33409 92063\n649 32858\n44380 61417\n25200 64517\n76969 93684\n65538 79419\n50815 86019\n5376 53600\n22504 83460\n26396 35876\n15526 50799\n14875 21146\n31626 68811\n77454 94675\n25830 78764\n19260 79462\n15522 86144\n68359 86247\n27256 33187\n13580 50545\n43630 79444\n59960 95581\n70840 94372\n27055 79626\n2523 84551\n46266 81383\n30562 51009\n8128 16066\n3936 27926\n51620 80198\n88382 95311\n62666 70829\n59165 68019\n55527 79444\n30933 97935\n24883 29593\n23551 94987\n32914 38786\n34960 69146\n29712 49698\n8045 95675\n6694 95146\n72284 77817\n54949 78796\n3792 8792\n28270 66017\n11029 29544\n77849 84679\n49009 49748\n11924 74007\n59506 90545\n12233 64162\n50694 50792\n9904 92693\n13196 96928\n4471 81322\n6907 94912\n10058 63574\n29302 84562\n7189 23360\n2440 74745\n8579 25228\n5929 64787\n41634 89737\n16184 76720\n87796 95146\n4217 45604\n9053 36645\n41677 95766\n8808 19655\n43342 64519\n60015 70687\n1990 10041\n16956 58505\n80016 87541\n54534 81402\n32010 89342\n26765 38562\n77442 83015\n64469 88607\n66406 70873\n61731 86762\n1077 46808\n30235 30681\n42674 70635\n16010 94152\n5002 19994\n72853 79699\n25731 31236\n51525 68080\n52415 67563\n26026 36064\n77459 77924\n1085 70218\n15603 65411\n19606 67494\n32343 96590\n49324 78589\n31390 52520\n44249 76764\n58288 71657\n37577 68231\n25437 52774\n67491 84505\n13344 37341\n18328 25171\n59560 89063\n19187 46907\n11957 96068\n24597 84534\n36235 99891\n4714 78180\n12017 27705\n5473 6611\n10223 41186\n72052 95794\n61653 67745\n86889 88977\n2104 73223\n52656 87266\n4450 54429\n57847 98562\n18031 68907\n32918 52510\n39799 92735\n41116 80430\n24172 35365\n31486 65599\n847 50611\n13008 90267\n68127 73541\n41866 66861\n9803 63347\n50981 74081\n54526 87114\n26626 43601\n59043 75565\n11825 41026\n66750 96267\n29074 42491\n68151 94862\n12173 35512\n61458 94154\n38072 79071\n1575 69447\n7607 11008\n16774 73782\n36105 79268\n30189 99532\n2749 45062\n75848 78460\n12392 67658\n23052 54155\n64609 72401\n43703 84828\n46606 96620\n53608 99666\n2984 3118\n25139 69726\n8784 45079\n21432 49081\n48446 64712\n12524 25393\n36766 54472\n7042 29415\n35662 51063\n1172 8320\n30194 74675\n78886 88586\n64974 79085\n56860 98071\n6412 69565\n42554 90042\n28140 53127\n25878 34281\n11907 59652\n74040 97741\n54821 78923\n18201 66707\n12053 59064\n1277 61709\n20813 98474\n61635 73875\n34810 94950\n23657 55237\n28310 69102\n35624 35734\n71932 72466\n34759 38869\n52199 83326\n46264 56442\n1078 75705\n31955 77431\n22260 30921\n22854 24525\n50746 67951\n24726 72265\n57931 59956\n22822 34149\n80472 84296\n15265 42595\n46814 82352\n59998 60377\n28195 44364\n32039 60680\n64594 88049\n5218 98579\n88278 99417\n1755 73169\n17953 32442\n56896 68041\n33008 33597\n82138 90593\n13704 64901\n45566 53467\n31908 36741\n72566 75713\n19940 69871\n25984 92773\n8011 16035\n41049 72844\n2730 94196\n26160 29814\n34094 36162\n20818 77663\n76730 89948\n15295 19507\n23166 29509\n14603 88049\n4359 23555\n47299 78059\n2134 58650\n79731 99807\n11621 45475\n1149 91830\n82006 95182\n4743 24082\n57534 88465\n56644 90451\n69943 94711\n55859 88025\n14750 43178\n19072 64030\n16115 77573\n531 47125\n16973 97261\n55818 85024\n36711 81769\n44128 52261\n13068 19022\n44479 90891\n30025 42487\n70345 80861\n55786 65542\n30490 72394\n18409 42887\n33345 80635\n23544 67192\n804 97790\n12957 73801\n12359 71202\n41776 85978\n490 98581\n53712 82183\n58194 64793\n42293 77657\n80090 98855\n49807 64482\n52887 93530\n98774 99188\n55514 63268\n3280 9218\n27586 85708\n13538 96760\n44888 91151\n67295 69117\n41330 98298\n51789 82454\n74302 87016\n29937 71745\n14235 27958\n75636 81030\n78115 84188\n82880 94785\n32461 89734\n82237 94569\n5323 44627\n56984 71086\n90748 99490\n65119 86154\n2652 46489\n38373 69327\n88530 98364\n10764 95860\n30156 84430\n8371 46440\n11343 89749\n56236 96380\n48140 53466\n39747 79967\n27654 68026\n10505 73619\n52197 91343\n86180 92384\n14285 61084\n24791 44539\n52255 94350\n36620 58461\n46146 64502\n39093 77875\n22624 37589\n39690 80214\n43309 88472\n71330 74184\n55962 91462\n31387 71242\n40155 88971\n13795 40496\n65678 87878\n53707 71926\n58557 66328\n55129 82845\n52740 68077\n29488 45363\n12305 91487\n39703 79715\n62668 92572\n27880 95678\n42137 85409\n14546 47847\n69354 93710\n48809 52851\n18305 51163\n2530 30388\n74035 96353\n49362 66317\n18309 35306\n6193 48975\n2124 14599\n37617 99232\n55945 57949\n48734 58906\n36219 70657\n53950 84329\n66784 90729\n63172 84031\n24621 86464\n37866 49452\n10972 34189\n83022 91432\n10286 99515\n48410 70685\n1294 26751\n23173 83378\n64755 89070\n23178 89139\n6316 58946\n30959 92657\n34103 57506\n6721 10137\n49423 66047\n34005 58491\n42548 60009\n19500 95853\n81841 94507\n47691 92856\n33004 79420\n6680 73792\n61899 85889\n12544 31541\n20830 85481\n30481 69190\n18265 80835\n49723 99454\n51681 68562\n89570 90732\n60198 65763\n51426 52544\n53146 96697\n8652 54258\n47621 90291\n22192 55362\n48230 55425\n18272 27849\n78312 84227\n19571 48478\n18589 66784\n23357 45949\n40149 59882\n73231 92371\n69227 73185\n51744 63619\n96066 98003\n8887 47564\n94628 95784\n39475 77516\n4235 28421\n40783 52854\n7209 74784\n66161 95376\n1559 65542\n10844 89092\n11498 93753\n22191 27583\n35897 54818\n53047 95812\n80051 88188\n26359 42622\n36701 47394\n18761 90696\n33794 90046\n35130 50968\n4332 58829\n12618 57632\n55339 65299\n78257 79215\n65234 86660\n33106 77611\n8061 89603\n60929 87729\n62991 75731\n14231 90192\n14049 27797\n22619 50097\n2843 83291\n78163 94694\n71665 88096\n28748 78778\n21909 55232\n2423 30081\n80297 82957\n23895 99861\n35109 81127\n69410 81093\n59776 74629\n15305 64600\n1117 92573\n19810 74692\n54740 64059\n35479 39511\n25047 78503\n67740 88762\n37310 82869\n3622 17468\n61828 62911\n42666 57291\n16774 38999\n11993 25626\n48884 54425\n56794 64194\n51762 67703\n44563 59815\n89770 96678\n66857 98185\n7031 33034\n2987 21801\n49292 89923\n40138 81824\n32420 63683\n16195 92393\n22874 35089\n23090 61824\n12510 51384\n20841 23489\n976 94195\n24404 81452\n60929 78990\n74428 85536\n3214 54347\n17312 56534\n22842 63174\n10160 87073\n57912 93722\n23673 87824\n64456 67383\n49481 76503\n21881 99511\n14075 67298\n17258 83291\n33058 61565\n22398 76945\n53785 97915\n12622 78110\n47459 88602\n28097 91657\n59910 61266\n31050 80139\n1895 19400\n327 9451\n44625 87242\n36239 77864\n46263 76157\n46085 58002\n5852 30965\n1879 70790\n4011 15200\n54480 78322\n188 31148\n72227 88097\n3722 8992\n50032 86493\n14768 74463\n9819 19146\n28867 43856\n19239 77980\n2758 83251\n16834 73986\n90426 94415\n65712 74440\n28158 54545\n24060 25050\n2784 96533\n1748 23034\n11852 64307\n6984 74785\n26759 53425\n6437 80640\n46450 63393\n8903 45848\n56840 62983\n53136 94631\n19480 96165\n1626 46573\n10101 33144\n10206 46102\n49502 75554\n72643 93321\n48461 61800\n80242 94052\n43932 97038\n33785 97185\n152 76450\n33604 64031\n68108 74605\n33900 35692\n17009 81792\n42864 49018\n2169 56570\n3873 15471\n10981 67849\n28920 48387\n2573 44964\n2101 58865\n53494 61739\n45529 73156\n70771 97848\n64988 80062\n11365 69702\n21816 93636\n57945 64428\n52158 68258\n68675 92595\n12369 51058\n64959 79429\n73160 76071\n7153 54960\n36179 88544\n39937 54535\n85809 97103\n17610 72209\n77442 94956\n20940 33085\n78087 79026\n81675 83463\n65901 92570\n64143 86394\n58516 63701\n6691 48035\n22209 57339\n6699 7324\n19018 49703\n52178 91519\n23979 82958\n22798 50500\n37108 79196\n52995 89635\n20632 21381\n5014 7485\n27883 95388\n50249 87856\n37102 96618\n80515 87029\n25952 90961\n96454 97534\n3485 47398\n45584 52036\n14086 97242\n78520 91337\n23340 72432\n34828 62303\n45003 91075\n4914 15767\n21404 51679\n75521 78917\n53387 82950\n38632 86810\n18082 27261\n6343 93915\n95391 96465\n51517 51688\n4210 50511\n16533 23979\n31882 90575\n92320 99778\n20615 89562\n66299 85442\n17997 33355\n8100 26103\n47124 83144\n54809 94741\n19764 90235\n67950 82741\n41623 96654\n42476 52836\n2893 30979\n56296 97930\n3525 26410\n52653 91954\n37093 88815\n1737 45323\n4339 87396\n13205 65711\n13584 29028\n69382 89704\n33149 60003\n1186 52666\n61543 87388\n42028 94302\n36972 96178\n97816 99714\n46991 91673\n18135 74857\n49811 80392\n19815 95971\n37192 91583\n48098 80920\n54332 81487\n70574 85843\n46531 55636\n32343 87802\n53601 93599\n50600 56203\n62898 69107\n1153 63296\n9870 89458\n41451 46695\n26490 74576\n72996 95017\n19189 32834\n44196 74509\n65739 94542\n26370 67329\n12138 28996\n6846 68201\n3750 75269\n53059 61320\n3514 99471\n26942 73196\n8749 93250\n12701 46861\n44758 69149\n61320 67947\n32072 81122\n31350 75559\n5373 6456\n2989 85831\n33214 79966\n3432 70985\n78658 94422\n20995 63277\n5034 88781\n32520 85918\n33828 49358\n9893 98270\n15260 17056\n34133 84358\n319 20521\n51840 99405\n25015 98600\n43328 89596\n39923 43960\n2372 95452\n24859 55380\n23842 79726\n11342 52611\n44345 48241\n2191 68356\n31718 66814\n62008 67246\n15796 33246\n58278 67785\n41361 86122\n71238 96013\n27761 93373\n27713 57868\n41348 83812\n18353 24284\n4273 71291\n96012 97350\n1669 81118\n33761 59905\n44361 69062\n50459 58421\n18274 51557\n4963 16126\n6965 58747\n40033 68336\n45717 63360\n48258 86309\n78120 96191\n2186 34643\n6980 83674\n25450 69059\n15571 90851\n74938 93997\n14831 55224\n1141 92782\n49880 91122\n50770 58474\n54199 91733\n14871 56052\n45221 88638\n38391 50180\n13132 39113\n58405 89491\n65748 98102\n52634 64185\n70042 88593\n45545 82021\n3589 78304\n15791 59704\n37532 45457\n78440 82333\n914 10370\n78041 84295\n76051 80820\n12641 61276\n84428 94029\n46405 50661\n741 5548\n11861 18898\n67606 89200\n8547 9487\n22835 43024\n57102 95265\n28077 64281\n4998 91722\n27948 39394\n24247 88045\n6636 65998\n76520 97150\n46893 59402\n7233 18913\n55752 65193\n38141 70705\n54467 99513\n34769 90389\n6817 68511\n34265 50578\n27488 48299\n19667 83829\n70063 73007\n20066 66030\n26560 65056\n8142 57686\n86457 86706\n12456 97332\n24471 31777\n48237 88895\n1088 91951\n10024 72367\n32031 64926\n38168 73803\n50833 83885\n20149 41281\n17252 35937\n9951 27005\n17285 19610\n2089 63471\n22177 43493\n1344 46247\n3652 73933\n31963 61827\n50400 86890\n9928 23758\n4355 85221\n6083 98316\n47165 71228\n8486 58861\n30732 97333\n56261 70857\n31126 75146\n45944 84173\n44172 95218\n25196 81078\n27683 36453\n3517 20102\n35249 69128\n11097 55615\n32573 89450\n8203 51051\n25322 62260\n28087 89992\n80208 82218\n66202 95965\n9552 33741\n32403 49560\n2881 17968\n54190 96390\n52328 72378\n17468 81847\n45624 87293\n35037 68120\n49749 76312\n39657 95938\n75344 91116\n26365 57509\n35587 41647\n1029 29568\n15288 94486\n48561 69528\n58522 96410\n35210 98229\n39848 53174\n23660 63670\n357 90450\n64151 97290\n7607 37942\n5341 97196\n75427 95070\n17778 96079\n3810 72585\n23249 99632\n51897 53698\n37233 55473\n35011 65100\n23560 95887\n28460 73800\n26269 37518\n55706 83912\n6652 98771\n11208 36468\n7176 33403\n73050 99750\n6995 61349\n76784 93034\n4823 38650\n7469 30316\n55115 98475\n49186 92756\n14135 48180\n336 18953\n75539 76388\n23934 27385\n27317 36361\n46051 73261\n41811 71795\n6317 72042\n6964 53966\n43981 60944\n94455 99223\n1022 15608\n35532 47945\n54653 95521\n17647 36855\n68341 90276\n19527 79107\n40593 72796\n10839 33241\n9144 97767\n83753 88728\n9808 22818\n25263 99862\n15313 52323\n12491 88191\n3103 24542\n56249 63683\n15717 59121\n65062 91343\n8787 53079\n26599 86886\n86457 89815\n59055 81837\n31955 33062\n51230 98365\n34145 58759\n14105 28673\n91311 92355\n75222 89820\n2217 99682\n43040 55319\n22759 83637\n14368 66763\n79481 84544\n23020 51572\n51430 94762\n74828 77974\n60807 85153\n68639 97685\n68140 85943\n28312 77351\n12686 95425\n8794 53717\n4259 58305\n21720 35431\n58281 80012\n19876 88135\n88135 96958\n58252 82691\n15617 38418\n41194 48737\n50054 65020\n39916 86991\n8937 85512\n38055 71400\n22838 98297\n31461 96884\n37494 61228\n37924 49979\n13681 78077\n8790 54165\n10201 97320\n5696 22596\n47218 54512\n80693 97327\n62887 74979\n39571 51521\n1755 7019\n36978 89474\n29693 39202\n55481 68054\n5224 45440\n23555 63570\n91058 91960\n2001 20577\n43931 80423\n41700 90255\n251 96030\n60306 76624\n59391 93715\n11319 63713\n75727 93368\n23370 34139\n47844 77454\n29493 36307\n25277 31854\n34663 66556\n23470 46071\n46559 95021\n14037 58619\n73271 87768\n1417 36586\n15312 70709\n30867 64030\n62353 94688\n20011 47269\n50702 84197\n45757 51999\n51344 71787\n8030 56889\n26454 41512\n14686 84578\n69518 94934\n73124 77500\n18845 59983\n30746 37722\n28645 52154\n38330 41279\n18784 36308\n14858 25389\n11989 42130\n9173 22133\n40778 58924\n53039 57032\n76134 88536\n41832 66494\n26646 48090\n16679 63809\n20263 90085\n23394 81596\n49332 93603\n6321 12822\n50683 82854\n48065 98036\n19012 30162\n76522 96256\n53222 97994\n77693 84834\n23583 56778\n56548 79193\n5711 7198\n61332 84028\n18368 52386\n5899 9702\n24591 33180\n34061 90174\n42080 54388\n42646 71694\n39896 99705\n37055 52519\n58661 61128\n911 32380\n6075 89299\n72037 98138\n64359 72514\n26582 51423\n74157 85531\n17204 76424\n38020 60576\n18146 61472\n65809 76304\n50634 86630\n58055 98332\n53811 70893\n22077 39803\n45301 58303\n7721 60790\n15812 44760\n24247 51225\n26596 69865\n6899 91513\n49576 80807\n71756 98277\n13333 39860\n45603 87935\n25686 31065\n42884 51202\n25150 55312\n42319 88622\n63042 87909\n1670 93271\n62484 77077\n23753 93710\n5383 32605\n549 31317\n18755 39759\n44791 82213\n25710 88861\n48341 60642\n20217 66469\n16470 27308\n5119 74200\n53023 87299\n16411 87004\n11428 43399\n26968 35941\n46485 61280\n38949 50308\n7497 68616\n71626 90721\n76234 89750\n753 32836\n9614 27251\n8648 25746\n73099 81894\n38804 91300\n80409 93260\n23380 25246\n67439 73629\n81622 95810\n27742 51736\n34561 85781\n5614 82880\n70143 93166\n7611 76341\n31854 85721\n6852 45216\n53286 73845\n7814 21692\n42468 62441\n86053 90578\n6609 51933\n47488 72967\n55993 60125\n32250 85664\n19500 77773\n25908 48128\n61081 75656\n6386 94327\n1690 95304\n72323 82963\n6146 25296\n65781 67158\n29062 55257\n25249 53267\n76292 98566\n55832 98062\n26948 48944\n67326 90292\n2554 8384\n26321 92539\n36770 93467\n8463 49589\n20674 99340\n69308 79348\n12898 29739\n32470 71598\n35664 79645\n10815 96297\n30485 76810\n57400 59977\n9138 22668\n2767 61011\n95423 96176\n37737 79064\n16312 82675\n29640 53204\n39710 90342\n7030 15212\n16025 24131\n9548 19711\n917 25868\n858 22804\n15709 59116\n32969 84017\n14001 39152\n68956 75796\n4746 6813\n10100 60183\n15620 48809\n37045 47714\n7464 55626\n10227 96909\n29467 91116\n1458 72950\n15183 17425\n20083 22533\n1212 71647\n21558 39174\n21989 67517\n55013 89960\n28668 86925\n50310 77262\n29852 94809\n60466 70600\n24102 92726\n20544 22519\n10060 22782\n29015 72388\n4974 8124\n14090 48709\n15471 76259\n33675 56920\n26380 63746\n41361 50828\n18496 42684\n33573 99197\n20149 73014\n18689 61764\n56092 61839\n4008 69017\n74159 85733\n8471 75979\n58348 84563\n61492 67592\n451 53086\n57658 71581\n48320 58835\n21949 85370\n26313 39966\n2543 25018\n32882 55172\n10884 61353\n14367 48538\n47268 78012\n47686 48770\n32983 64697\n12312 15663\n320 19858\n42850 66974\n17582 63982\n11869 36240\n7501 9252\n46071 59123\n19411 63106\n9737 64809\n74761 75067\n822 24039\n57118 83124\n9225 93144\n11763 77645\n6693 60358\n39063 69351\n28463 56593\n48066 98533\n52142 55640\n11454 59487\n63456 94789\n35592 61982\n42848 99623\n78176 84660\n54774 64402\n34195 72469\n3460 69421\n74726 82207\n49719 87455\n44069 69183\n11698 55329\n37030 72204\n60344 69543\n32226 67864\n3053 19278\n12351 94601\n36212 97127\n16647 56117\n66982 69483\n13594 21078\n4145 22765\n32294 57562\n6904 64290\n38176 41275\n6094 35416\n40116 83222\n34215 86092\n74057 77139\n65310 91879\n37296 49489\n51812 64871\n49999 52825\n14312 18497\n14815 52824\n26538 99328\n1880 42914\n63790 93492\n43499 88843\n56639 83155\n53212 56058\n36974 66640\n18417 87914\n40873 57104\n2661 20527\n34834 94385\n29244 76221\n37352 98949\n37212 56212\n192 30692\n44735 95395\n2411 81977\n38398 95826\n11129 66345\n57163 94618\n87077 96000\n20051 29280\n41718 53310\n30857 92657\n11004 48008\n28205 30528\n68823 87854\n64162 89104\n8619 26250\n25304 67711\n18151 89388\n48561 89839\n2586 37044\n6610 48169\n83574 93602\n42373 77339\n17140 87463\n54708 71558\n19290 27668\n22323 86960\n73126 81206\n33921 40877\n38073 65201\n13797 15699\n31049 82602\n24501 57105\n60359 90490\n15069 92058\n28506 57641\n23590 25489\n28860 83484\n7988 17914\n50202 86518\n2924 55006\n17941 27068\n57466 63371\n31092 72149\n34883 65271\n58653 86545\n50484 81052\n23472 83647\n17025 35588\n5457 43784\n46199 49680\n41930 79740\n57573 89290\n59367 92104\n56650 87470\n5799 95662\n43033 91083\n22755 85538\n25386 75155\n23812 24178\n69677 72423\n64218 67129\n42970 91042\n11314 47622\n35412 60214\n2359 97816\n11700 94020\n58561 87594\n55053 93817\n1628 81525\n7548 65834\n70760 91745\n2205 67316\n9941 98541\n7358 47503\n40110 77503\n63437 98537\n27439 98700\n36775 67692\n95230 97273\n39660 86858\n61580 86387\n47414 94574\n3225 49088\n15546 16431\n11375 78364\n59866 71408\n15636 34408\n72017 95799\n64001 83574\n1978 45421\n3937 40375\n55457 83368\n7109 49530\n12740 20675\n18979 31645\n9344 60992\n28514 87187\n12337 99701\n7385 63976\n18768 33365\n30586 62830\n50594 61277\n19439 95067\n24616 53938\n76912 93887\n62037 91799\n19183 56374\n26795 32746\n5561 86657\n71059 84047\n92103 93014\n30714 52424\n28198 95395\n46091 66865\n52673 69130\n4072 11348\n34480 42836\n29152 87831\n92132 95123\n580 19759\n33583 79090\n14978 49418\n54877 93525\n27286 49990\n52478 88966\n33528 65870\n49401 84968\n44479 94113\n4832 46852\n36171 70691\n62423 76595\n18320 24808\n19642 42263\n74437 97249\n58868 63240\n31933 37861\n1276 99663\n6077 82102\n82960 88823\n65230 80539\n55649 87496\n66687 84340\n3635 8759\n34347 66856\n29260 59886\n70637 96189\n34758 34852\n15417 83939\n27426 97742\n70480 85928\n13715 90091\n68975 93730\n29802 53011\n30752 38029\n65128 91197\n12248 24941\n56263 80651\n15111 69674\n17548 36463\n34246 84921\n8441 39448\n53232 90221\n19273 60970\n122 76497\n37071 64509\n31818 62311\n27578 31571\n28144 62368\n24866 50851\n3924 86168\n3763 94667\n16319 47516\n53692 70420\n30380 48594\n49525 54175\n10246 77766\n32259 62465\n6766 60576\n14584 30506\n21278 74538\n19899 91250\n61206 69183\n40349 46222\n15348 79287\n1119 58490\n53885 67646\n17273 78321\n87690 93547\n4808 24091\n12461 18062\n39538 92433\n3048 90655\n32087 99508\n39383 84628\n22523 83564\n958 38313\n92652 97607\n51642 64493\n13469 73538\n37381 81676\n55945 60531\n68642 69989\n54781 67549\n47011 99800\n11675 40485\n7805 14569\n2449 88940\n12640 52139\n12104 72190\n51506 82817\n27041 35150\n74058 76866\n33230 68176\n394 67862\n16016 57820\n65124 87989\n52668 81488\n91893 94633\n8249 62692\n85115 96094\n53840 68486\n4468 42908\n8945 55757\n17939 47340\n26423 75019\n34213 38793\n34069 93377\n57169 60540\n30761 98482\n63702 79195\n39883 43078\n38474 55772\n52293 66501\n54856 82626\n6489 63405\n8112 70013\n88726 92930\n56584 93947\n15325 83402\n3088 84193\n72726 80705\n1313 70392\n6875 9732\n79764 98801\n25719 80201\n24941 59442\n31887 55102\n6811 24458\n76856 76894\n22172 77002\n13609 38665\n35865 68017\n4099 40523\n23018 41791\n27250 53557\n34272 79475\n45509 56228\n33347 45542\n19339 80352\n14973 48767\n61802 73343\n55002 75241\n9664 18838\n29578 36042\n1793 3099\n57013 61229\n979 13730\n36234 62104\n58441 92509\n6854 32569\n12702 62991\n33452 94042\n38170 84372\n5962 69023\n63030 68893\n31586 77955\n23419 46021\n13771 30266\n48318 66404\n52441 73986\n5092 70596\n10328 63452\n9153 26589\n38997 41447\n9089 21465\n20058 27801\n29012 72489\n61594 71097\n91430 97821\n39366 61604\n24155 85223\n6987 11413\n15481 45409\n36008 80238\n42412 78260\n59423 88816\n46545 64129\n17825 88879\n4297 97581\n7011 16086\n47610 73702\n21621 75886\n43390 82181\n1851 38229\n17187 72017\n12783 50672\n65617 80580\n35082 89120\n7732 50377\n61695 66175\n11623 24281\n1589 77090\n90091 99192\n29127 96459\n51802 96402\n5203 96007\n22318 33665\n47766 67287\n13960 79674\n3143 54520\n23722 28104\n37860 94567\n47374 63888\n4918 92315\n51073 80238\n7477 97900\n26983 51142\n566 14322\n34698 43345\n40823 55519\n26847 34216\n15369 48390\n27723 64432\n3339 86559\n26727 94116\n10286 37158\n42612 51088\n7402 41074\n49852 69458\n50181 80336\n39625 99819\n47374 90002\n75815 90189\n6609 60938\n49331 65913\n6813 54719\n58605 87798\n52118 58237\n48369 72668\n43273 50651\n25264 94578\n2058 66279\n17045 42685\n31494 51633\n18744 96109\n46046 93656\n49784 82754\n19128 99149\n82616 91658\n22267 27167\n54825 80152\n40855 42056\n1435 46665\n17593 53725\n2463 96375\n86740 87013\n31550 62924\n22657 34451\n38899 56139\n46885 53273\n90955 98186\n32807 99021\n63600 82022\n47697 85300\n20623 83289\n59899 72463\n20657 99234\n8915 84915\n16744 98527\n21336 59057\n14614 37428\n37483 93938\n13097 62017\n932 10998\n23482 33821\n7129 31487\n2574 86035\n51142 82620\n3452 16957\n25761 60016\n53538 68583\n955 63720\n59718 83671\n57801 96621\n9139 38824\n16466 87931\n4191 32348\n19971 65911\n4764 8558\n33976 96243\n22456 84620\n47409 49719\n37017 78527\n71677 79875\n62648 85770\n59373 83204\n9056 39332\n17557 96417\n28516 36781\n26675 95688\n46065 63158\n23548 43478\n7239 91123\n38288 88584\n55019 89629\n50664 95138\n30097 40308\n32448 38058\n4210 97106\n4084 15729\n75533 91468\n25892 41758\n7718 74495\n33522 35919\n84848 92808\n6871 98037\n39778 51641\n39239 77575\n14757 18833\n35187 91259\n36055 60557\n40187 53257\n24325 98953\n47813 78451\n45070 52849\n6129 45715\n945 82245\n44491 99739\n1729 25916\n9552 82704\n41658 51398\n15206 66100\n24467 28983\n41447 50249\n24065 66989\n37346 51729\n21499 51442\n20828 44835\n27167 42683\n68378 90146\n27183 68644\n11889 55070\n18602 19562\n3855 18789\n61395 83106\n18372 37664\n40885 48562\n76064 84935\n39548 66526\n16483 24639\n9397 66619\n10611 73923\n1966 24158\n10033 16915\n48138 70013\n62386 80122\n37349 43038\n13871 27344\n2214 78403\n9807 90809\n10811 44224\n56425 74716\n58683 79605\n34462 55787\n51116 74561\n11188 87577\n281 52582\n66915 70929\n68143 96163\n48678 68454\n14844 19513\n81505 85391\n38200 47347\n1770 76913\n6645 45121\n14920 19945\n5095 11317\n16320 83198\n21631 82145\n69226 88642\n73401 90577\n83915 90237\n81009 85731\n38728 40913\n14590 80572\n19297 59365\n98598 99105\n58715 70871\n15284 20206\n58713 67969\n24426 39587\n53502 60163\n74461 82474\n30028 97767\n43395 92283\n17688 43769\n50429 78505\n14403 64769\n57621 61263\n21129 64706\n33731 97454\n31154 82502\n7261 96492\n11714 31163\n32349 80338\n3023 60310\n68774 94307\n25217 69525\n18272 72207\n29711 75930\n35317 85247\n9354 98166\n9064 77320\n33440 92054\n4086 94161\n67987 93970\n41749 58921\n30355 84106\n36894 50310\n17335 25113\n25839 60822\n673 60587\n26401 60504\n26786 99572\n10696 80074\n60836 99565\n73227 96120\n70483 87687\n75733 99060\n9725 39957\n14375 46501\n59508 97428\n55286 99572\n38205 87576\n8334 78241\n38518 72328\n17208 50712\n17159 69321\n75901 92143\n22096 94702\n1136 37625\n9143 88328\n26219 75962\n12679 96349\n53227 59118\n62099 85521\n85982 87940\n36149 65275\n39291 92774\n19878 75847\n73047 87202\n6976 67716\n20257 21457\n10836 31624\n88390 90069\n59116 76479\n77335 82777\n41277 64805\n26326 30641\n17886 42353\n64486 78511\n34191 98223\n13285 84825\n45876 56527\n41374 65925\n14264 42490\n56112 67746\n78442 93676\n7464 71798\n17050 67319\n26052 48509\n11277 56611\n76888 77457\n16619 92449\n62877 68018\n21865 42999\n18201 82306\n8522 91200\n28642 97195\n52279 77703\n32412 56381\n9470 11743\n22362 65138\n61641 99922\n27799 74397\n307 98335\n34743 45654\n17853 62689\n34630 46282\n26360 92669\n54209 98206\n12770 52464\n23086 35207\n31152 88814\n40318 65987\n9105 23117\n3001 52741\n46957 77959\n21930 71582\n52828 59554\n40876 92387\n51114 55073\n58660 81949\n35263 64281\n2461 92351\n333 83441\n11045 23678\n42561 51236\n21333 61096\n35470 88167\n68408 94235\n64883 67058\n42457 70196\n39544 93508\n45067 94382\n11592 64905\n28822 87389\n71609 85171\n29250 90326\n2306 8039\n22987 43352\n38390 49903\n25422 59046\n23454 31351\n49950 99129\n80880 91282\n11516 38675\n19007 41452\n1839 57440\n26918 40249\n35434 53587\n4810 27714\n32403 43160\n8884 17420\n50254 84548\n85481 90906\n8832 78894\n81323 93657\n257 68075\n52076 74093\n6930 65433\n50009 60608\n3502 90205\n46064 80304\n9240 49636\n2672 60748\n9218 10801\n39390 81788\n45628 95990\n43623 51571\n42345 64726\n10108 69052\n24860 74951\n30606 90387\n20032 51538\n37609 54393\n84458 93790\n15085 43535\n45757 95379\n34766 47996\n88850 92941\n53279 53635\n42595 84611\n6734 36879\n9399 84178\n38130 44843\n7257 93952\n8736 62291\n32462 58999\n19550 36619\n11300 83726\n19028 71310\n3385 52695\n86728 99766\n40659 49727\n2611 62215\n46252 76264\n14822 17799\n11984 25766\n5084 77169\n61046 72034\n11697 47439\n78896 98111\n48050 96949\n62063 64437\n70883 76510\n14934 83210\n14713 57394\n81728 82665\n40847 64426\n10208 24960\n21208 90700\n13130 43812\n18928 72995\n58554 80605\n47617 48884\n16639 44894\n77067 96178\n3906 53967\n3983 38812\n68095 69289\n75092 92147\n36120 99824\n42505 79014\n36538 41214\n26666 41729\n19374 54680\n54526 76434\n77186 81782\n36501 69459\n34231 82155\n21802 52296\n10636 78625\n21824 24155\n1221 55792\n20001 26222\n13193 97451\n13319 91875\n20433 82720\n21462 99163\n17778 52849\n19206 54614\n51971 93776\n42781 87892\n5341 68589\n11843 33187\n2195 40397\n31405 92084\n9141 47762\n20260 59969\n34232 47024\n27807 51387\n60411 96450\n34987 51895\n14242 97430\n41606 77823\n88912 89636\n54917 60476\n93860 94627\n12749 46487\n15032 75140\n18091 37180\n8775 72616\n27042 79275\n27230 87113\n45188 66331\n62960 99496\n20421 53357\n35936 99724\n51922 84211\n38634 85178\n67855 73717\n83938 85718\n8449 59408\n47056 50225\n19679 68382\n5069 73656\n69729 83661\n13472 92044\n54436 61128\n35867 51715\n82427 97885\n38496 60781\n15419 64245\n18100 44773\n22819 41918\n55978 75252\n45146 92663\n48146 82124\n20717 59250\n42940 63140\n17926 38278\n23302 80185\n27661 78148\n62420 70414\n41029 54919\n29168 98863\n38200 77883\n43262 87790\n28411 49879\n68991 90977\n5495 84773\n62169 73021\n9340 74305\n29862 41397\n48349 52064\n40553 46072\n49985 71849\n20618 48651\n21750 49911\n48579 52070\n5211 37378\n24476 65461\n32490 33114\n25677 76862\n23420 63077\n30768 47087\n30784 38194\n28860 57717\n31522 48370\n7713 9013\n38442 66057\n31978 53878\n44543 99669\n29562 48327\n94942 96920\n46786 55790\n27510 99813\n61850 85001\n22972 72145\n67120 89776\n4410 91517\n46816 99968\n34454 40647\n41194 65886\n962 73721\n55087 79586\n69130 78411\n50668 95465\n5738 89235\n52038 88213\n65815 81664\n17656 40567\n12240 20072\n43323 48473\n48357 56990\n26099 88519\n37718 65694\n25027 73129\n20049 37162\n84282 95341\n8657 32712\n10188 59297\n10795 96982\n30392 71313\n15254 26778\n50276 89952\n24189 29572\n37715 53836\n28285 73099\n19820 51904\n6843 80743\n33502 55115\n43799 99809\n8579 71966\n52206 95282\n18878 84098\n5665 45906\n12262 50995\n27500 66397\n57975 97174\n64954 74797\n4332 31520\n10224 36803\n63516 85432\n3795 64286\n61582 95627\n10379 41532\n1936 91461\n20168 37155\n62834 97725\n48136 99811\n47969 74718\n15910 22179\n24372 90963\n7198 75186\n26441 55405\n26958 93692\n64682 75198\n10038 28665\n13517 99085\n93624 98188\n12865 49458\n59565 65560\n45907 81358\n59216 64383\n42938 68412\n11643 71130\n27166 80642\n4091 34812\n10369 33452\n14493 35139\n34246 52898\n28932 32384\n24056 45622\n86335 91154\n44757 76978\n32967 95467\n86980 87495\n24477 76532\n49511 89111\n25909 88223\n76388 86370\n16048 49507\n16203 58156\n43759 82441\n33433 54073\n63156 66625\n54562 60343\n11275 17927\n57664 99018\n54158 58855\n15128 98272\n54205 59775\n6030 73475\n50024 92912\n85281 94412\n57814 63357\n1851 31061\n66403 76507\n22088 40290\n55955 92070\n62138 84655\n66105 70662\n4756 87104\n28399 96490\n20675 71047\n42124 71846\n28856 44831\n2133 21532\n2880 11403\n1072 15849\n43298 95462\n25616 42066\n10952 87087\n33862 57800\n6290 13527\n10618 51849\n38216 43117\n33255 70752\n35725 98389\n21116 64734\n33387 84606\n72896 90357\n60123 73165\n15992 32055\n302 50521\n67734 85876\n9573 95246\n20927 47924\n38887 68491\n23835 54164\n83222 92935\n79441 87208\n28066 33987\n21450 33427\n7940 14284\n9480 36028\n51569 81830\n78954 86862\n35468 66331\n70295 77615\n45875 78079\n40160 45400\n82933 94019\n27776 38787\n32703 85838\n43241 47149\n1228 51499\n37289 77078\n14823 80627\n44880 48959\n20314 72790\n5445 80191\n29977 88996\n2492 87909\n35745 38246\n9120 84816\n4266 22440\n38719 41590\n33078 68374\n24403 35685\n43819 45683\n4698 30446\n18012 27424\n50433 60901\n13430 16717\n13773 19916\n409 33836\n50422 66124\n10766 94300\n21887 33793\n1932 92613\n34364 54415\n27461 47745\n25537 32162\n16897 72292\n30430 85427\n11993 33078\n23155 37410\n55166 94522\n60101 77019\n40171 52251\n51910 87466\n60813 85123\n50528 98483\n61080 64936\n7521 17087\n10048 14719\n60281 75702\n46356 93704\n9445 63885\n50660 70584\n91115 98685\n27844 95709\n4204 12988\n33365 48184\n57902 63476\n32547 50814\n85468 89691\n61262 85215\n16317 17521\n60019 79763\n3875 77280\n93662 93882\n14601 76319\n16718 91643\n34012 93098\n11097 30072\n14420 97980\n27289 95139\n4000 23459\n14483 71840\n12766 48126\n61210 89788\n61528 89423\n11545 62736\n2220 63058\n91507 96636\n85508 91219\n6256 97321\n32501 69798\n76008 84293\n34249 83564\n20213 38203\n71001 89416\n18565 94126\n63233 86869\n54180 80709\n30264 60757\n78384 94187\n33902 66200\n7715 47561\n657 31308\n26787 94676\n24206 84662\n29211 77487\n78260 99602\n19657 62979\n46481 49894\n18800 76784\n7729 30159\n19522 48662\n19102 80089\n27569 90929\n61953 96027\n76635 89344\n20940 42410\n42530 96941\n18445 27512\n31283 56430\n36835 72120\n68509 83251\n67055 70499\n48814 86456\n25121 53582\n69642 93570\n18597 35348\n13842 88025\n52788 63910\n44132 61018\n2940 87711\n62134 73517\n46776 98345\n62612 84647\n21075 69822\n51180 88812\n33413 47964\n29492 79557\n20214 61066\n26843 53362\n20588 37070\n10760 18935\n41124 62635\n66574 92027\n38525 88572\n37507 57978\n57036 58337\n263 15255\n21909 89038\n15678 22861\n11058 59660\n52655 65822\n31243 73473\n14608 70969\n33108 35975\n20638 36724\n18855 66833\n68225 81890\n57922 91116\n27253 37180\n17064 94020\n7191 44311\n12711 69530\n680 75041\n5020 58078\n74339 89647\n34015 91700\n30367 77639\n7662 27535\n44719 59899\n76599 92745\n26145 95832\n62167 83504\n17810 69090\n32388 67400\n20138 77432\n4065 4373\n34285 85024\n60487 68821\n33187 87909\n48143 84012\n70388 82905\n59169 82600\n53391 64914\n18097 93978\n66127 86780\n48996 82866\n28534 49975\n63694 94495\n37210 37936\n90690 93629\n22718 35438\n25381 96793\n26243 45939\n54143 99946\n56058 67696\n9582 34365\n30904 63613\n91582 92161\n40079 84505\n8411 48206\n2776 26341\n2831 89644\n27963 90258\n5912 36737\n20986 38119\n31392 91741\n34694 35798\n26341 62493\n52501 69477\n60886 77731\n42217 96999\n35413 74000\n40 49223\n13265 73005\n7741 81828\n14514 19567\n76343 85965\n77775 93211\n76705 79625\n31669 41694\n74193 91433\n32779 66740\n2517 46955\n18557 48139\n39914 46213\n44790 98277\n17738 90726\n33009 48411\n5854 97265\n39893 46130\n23129 35675\n34137 84095\n19205 53964\n8345 22801\n21132 41672\n27644 70637\n57189 59218\n21418 86826\n7167 35063\n51056 91187\n1176 47658\n53850 56296\n52488 97468\n52402 96538\n63733 83260\n64954 91515\n66386 67430\n27954 46133\n25206 84509\n10660 35592\n4097 35978\n36966 50933\n24414 28191\n77817 82482\n44861 69324\n21477 41907\n62863 92426\n30204 36922\n51892 78383\n78747 89767\n33827 79073\n85847 88101\n6988 55777\n1351 90733\n34201 79658\n17473 62317\n10196 65987\n2478 15802\n11398 22803\n40252 44062\n49483 78901\n22646 88572\n19041 55757\n62112 84365\n64248 99632\n75356 84602\n68058 86390\n35606 68033\n475 16519\n4688 99923\n36200 43724\n33898 90620\n9953 68150\n10260 91870\n18198 63440\n55902 86540\n5893 43065\n84151 96207\n55527 63268\n2443 73951\n4717 75445\n3044 65746\n54609 83808\n58989 97237\n59333 66743\n9514 57031\n66037 70257\n98652 99310\n62842 80790\n9938 92775\n41475 87673\n29884 43962\n5733 33393\n20573 40870\n47235 89969\n2407 34212\n37890 91939\n18135 72529\n20781 76271\n46762 67114\n31132 72276\n39489 40537\n1463 44740\n16299 44774\n57465 99529\n18581 86732\n21872 92690\n71727 94666\n68829 87129\n9769 41064\n9058 79802\n16318 47858\n25287 74166\n36768 70994\n34734 64429\n65917 93721\n9946 13892\n31529 99785\n58663 75752\n79723 93628\n28809 64852\n28241 60342\n9656 65473\n42642 44465\n25351 68932\n23396 60999\n60611 76982\n38785 77991\n30877 96153\n23668 47302\n68293 99733\n5055 70229\n47640 94974\n1730 9111\n27477 74981\n37779 92303\n70105 73743\n47271 95748\n39734 61832\n10787 56963\n45923 89779\n28316 93533\n38488 88656\n11764 81682\n34682 40423\n34658 84159\n67749 92727\n56826 88243\n54214 90447\n2970 98799\n26011 30152\n13707 90481\n1794 8785\n8307 65177\n50497 96622\n16486 30119\n31974 57904\n21555 62256\n14495 48193\n23793 27665\n3447 97198\n17985 19462\n46505 96902\n26326 68815\n61761 90199\n43199 97797\n4285 79314\n48293 96709\n63411 67368\n13984 22697\n11381 72932\n4503 65114\n42737 81114\n16674 82048\n23060 47709\n67146 92517\n30323 64395\n20938 80627\n13406 69442\n6207 84942\n33404 52294\n25703 35157\n33673 42333\n92774 94521\n40945 73318\n2300 3301\n28817 84877\n14839 28532\n9594 88756\n73026 91293\n37742 44595\n66235 71752\n49575 67312\n23282 84486\n44769 72302\n3475 63104\n59164 72409\n7602 99268\n8358 54951\n18276 27529\n5807 11636\n18803 65254\n838 17438\n9930 89548\n25234 71442\n86 80617\n75116 77509\n17798 94047\n35208 90627\n25097 27693\n93554 96667\n96889 97246\n33434 52845\n17547 78234\n25321 36799\n74282 90280\n40038 48334\n30583 92341\n19104 88907\n52566 79022\n9851 95111\n6761 45203\n11554 25968\n65014 88039\n8811 35219\n71806 77886\n40059 40086\n30733 52114\n45339 57163\n36741 64861\n9495 89987\n24429 26750\n21078 89584\n38383 96221\n14788 57625\n10939 86026\n33218 61123\n13792 48376\n6230 55059\n54341 98793\n12681 27726\n3361 24841\n64511 98996\n43848 56765\n41703 65894\n40427 96232\n13978 71547\n43187 60453\n15812 30562\n65393 80281\n2163 71167\n4872 91833\n27320 82551\n56748 92209\n50359 84959\n49804 93161\n38869 90997\n75779 84484\n29855 48459\n47889 74856\n21632 22389\n4277 78412\n54955 91157\n63310 91861\n61417 91143\n21159 90550\n9285 32141\n31121 49208\n14837 46792\n49553 71746\n47684 91200\n32186 49200\n53168 99056\n62683 78515\n25593 96499\n5935 39112\n27621 58920\n40345 98500\n28286 91831\n51526 69802\n5228 26604\n76614 76833\n18259 37657\n26918 52323\n20662 50193\n70749 88487\n67883 81605\n22194 36007\n47329 82756\n12071 68847\n5754 52111\n42465 76651\n9725 75979\n328 85664\n34348 60499\n31799 39537\n74143 92789\n28621 46981\n16217 23895\n15435 98020\n31066 58688\n4349 43090\n9458 22610\n23023 24539\n48667 64057\n28900 38049\n24128 63832\n8096 65575\n66944 91513\n5885 39195\n35597 92406\n40746 58051\n1426 59939\n50346 77838\n43617 99895\n16269 67741\n27053 49375\n58732 99037\n32296 35382\n40876 64926\n31821 91488\n42921 72317\n50255 54405\n4252 98302\n71501 88833\n51831 68542\n5162 38259\n1779 2093\n29456 55634\n60831 70142\n17590 23250\n62754 97771\n34285 82591\n33169 51890\n62109 94074\n7372 7988\n20310 48550\n8653 43058\n52484 95167\n74622 77498\n47244 83377\n50268 67794\n47215 93453\n48896 90354\n31342 91887\n36143 75850\n14263 66441\n11587 97890\n22495 63655\n18097 44842\n12479 46075\n72754 87353\n87712 96486\n29379 64865\n15929 51200\n4458 55418\n25515 27231\n20848 56467\n7299 29442\n18799 61615\n67617 96749\n14508 73302\n82914 95658\n10442 85974\n34470 55596\n71841 76952\n43167 95023\n11692 55060\n86648 99178\n25755 96973\n4050 80182\n24292 65431\n6379 70734\n1405 30306\n21874 45498\n50616 97648\n46109 50685\n42440 89454\n28425 35648\n5066 41093\n20536 81643\n22108 37857\n34086 79609\n7920 53815\n10498 30908\n40147 94076\n33626 79004\n1167 39004\n479 20790\n54261 61695\n6925 50827\n28812 61790\n2136 6952\n16358 65500\n2175 24808\n17147 96405\n71152 81643\n62646 95616\n20721 56706\n75486 85521\n63141 70235\n76764 93553\n54301 80110\n14750 26643\n71732 84880\n65322 73892\n66355 87576\n43511 86190\n12240 82359\n70510 95408\n15752 94587\n2646 24814\n26328 80952\n7137 34940\n28258 93423\n46581 62433\n65570 72354\n17932 71453\n33810 81446\n48885 84340\n19156 36945\n34489 54220\n81483 84168\n28929 58205\n56275 70625\n368 46574\n17069 34846\n72526 83256\n3863 20636\n33509 43956\n30985 80574\n37469 60735\n25343 99349\n50682 70579\n44591 98618\n49105 78652\n8996 87570\n11432 47055\n34354 47113\n51153 69156\n14907 59928\n34792 89745\n17572 44066\n7584 37531\n5204 21800\n34966 49893\n17733 32089\n47859 77375\n56302 81355\n57843 61110\n3423 7974\n1942 69447\n53629 70524\n31634 79293\n67142 79416\n44202 87577\n15339 74433\n8095 44501\n14296 62440\n35077 77890\n3176 34480\n52480 69432\n20951 46911\n44134 76806\n31197 33020\n82296 97358\n5489 90078\n71508 75932\n4297 10691\n23757 34923\n26565 58503\n35183 35340\n8950 20781\n20846 71887\n5607 43725\n4182 19225\n33949 60608\n26447 30611\n3303 45272\n54420 94218\n25640 90548\n36838 53897\n11393 60464\n64394 91207\n13745 61750\n2552 52095\n10539 94014\n21907 95689\n41106 85528\n22532 83214\n45370 92687\n48203 51304\n11563 88638\n32545 67661\n7513 94734\n3479 18725\n1185 90929\n26155 97182\n6381 28463\n2433 82219\n42670 59414\n53177 97154\n41536 77492\n63008 94641\n16153 44789\n3795 79842\n65910 88392\n17271 28441\n49601 73564\n10542 54363\n8259 25662\n69005 76751\n65860 75570\n28932 84267\n24694 29950\n68382 80692\n49395 86339\n73497 93988\n8317 8594\n71826 76929\n26115 89015\n22940 33305\n11273 52759\n28910 79557\n34209 43912\n30855 93912\n17749 34647\n34413 96455\n14596 73003\n29894 57277\n10273 74760\n8182 18796\n51108 82325\n8785 61467\n69887 73166\n68 60115\n59747 69255\n2898 93834\n33642 37491\n25121 42781\n56104 92751\n57377 59826\n34912 50598\n9673 96004\n48319 49417\n24651 57112\n21450 39246\n49287 81384\n50967 67520\n76520 99512\n25297 91878\n14544 43475\n57208 85142\n22889 92474\n52682 83292\n22927 45918\n31591 43737\n65626 72661\n1747 25260\n40725 91799\n72653 86361\n27089 36221\n59623 60420\n10886 28980\n15730 42939\n85206 90664\n82288 82347\n47485 67832\n50603 88434\n35885 64021\n11782 51136\n41384 55397\n82761 99957\n26287 97285\n96257 97444\n17066 41133\n73873 75116\n46488 71532\n9351 76485\n61908 84977\n83948 98324\n34861 41889\n73769 92841\n41230 89492\n74855 75953\n35439 68715\n67852 68866\n38499 73208\n10094 64966\n22659 64050\n12458 47342\n34776 62280\n7951 63909\n28135 97858\n87679 97724\n33509 63941\n17966 77666\n15295 27355\n22724 61372\n66589 81860\n27681 96030\n51045 55771\n1136 22525\n24473 78081\n2161 96604\n3931 63736\n17697 78888\n42621 60726\n1756 57111\n12040 84253\n37252 67593\n25679 67443\n27882 84735\n13114 99465\n22859 94770\n74845 99859\n60147 64372\n13796 24945\n77597 95873\n15712 77939\n26150 55268\n73099 89478\n14510 35529\n4468 26156\n7568 56713\n17655 98748\n340 22613\n34685 61148\n22825 24703\n22142 84737\n9158 89765\n60961 70263\n36716 62397\n582 590\n52821 71778\n49419 55681\n2364 66421\n89545 99907\n18596 47233\n52624 73613\n2183 28390\n44002 80473\n35048 82571\n9351 99488\n12762 53229\n1462 79747\n23051 31602\n10656 56740\n23538 73024\n10244 42644\n91045 94049\n27159 95549\n63213 78795\n45690 86015\n85464 94129\n18381 61173\n12193 44231\n35072 50980\n29823 62292\n56258 99627\n20632 39574\n34212 55519\n10511 29821\n29231 62362\n6999 80720\n83424 98967\n94938 94944\n11518 29595\n58571 65086\n38047 66196\n43764 72514\n77708 93573\n24623 55099\n12595 19678\n39529 89646\n29369 77956\n59627 64298\n43986 85604\n14875 57598\n48550 52188\n39769 55563\n4241 89683\n47040 78311\n2585 6479\n29264 66612\n38288 46976\n31908 61027\n59272 93901\n25275 51328\n44883 75795\n5425 90175\n29242 95791\n5794 34608\n19876 83304\n22539 56668\n16694 90355\n11216 80038\n42035 82139\n38557 53656\n60571 68452\n18442 47483\n1982 24958\n19351 31422\n19639 66414\n1432 65207\n47574 68652\n25237 38211\n40472 55304\n2593 87344\n85032 92091\n3701 21680\n4070 4797\n75316 83999\n35478 92312\n9824 48257\n21687 36996\n57608 91842\n28574 76220\n30004 78690\n27540 84345\n6502 26923\n24780 57220\n15791 86678\n23054 77297\n11639 38067\n25117 53120\n39179 79498\n41295 75733\n64970 69833\n35125 78882\n34993 55115\n49265 73146\n33502 77551\n20765 22455\n16701 92221\n7076 76804\n43732 89856\n25133 71127\n17732 33331\n10265 38102\n39704 77545\n39394 82706\n44219 87649\n41689 77450\n14707 27913\n10729 68416\n38737 99110\n35545 85571\n65399 69596\n59822 75549\n40847 63554\n54085 85332\n52008 58879\n11504 82962\n14904 56432\n11600 37153\n81993 98587\n51772 77727\n2555 94934\n2212 79741\n13517 49504\n34551 63233\n25738 76806\n34163 39446\n42466 76995\n61575 82077\n1427 78182\n83222 93954\n56554 90553\n1781 91636\n29651 69718\n2035 90088\n1845 73302\n32839 72190\n46083 78976\n2210 13099\n11988 45416\n35241 81247\n23875 47774\n40558 80324\n33740 34073\n17319 60426\n20938 55306\n28992 77540\n73472 98492\n46999 79529\n78745 89590\n67332 78700\n31368 92267\n11663 26979\n58709 61239\n18134 82410\n39630 76364\n857 43967\n33061 94092\n27509 36481\n1624 78201\n73320 95819\n22914 50822\n7374 65272\n10188 80567\n7506 52997\n41404 44060\n74739 89908\n66761 97381\n10475 85533\n11610 61023\n10917 19983\n21564 28708\n37265 64637\n74170 91328\n10058 14293\n40631 57349\n31241 46733\n65078 72765\n46926 88772\n25770 87637\n2982 22855\n43039 96874\n46031 58547\n48809 84839\n67663 91135\n6455 80572\n45357 79660\n91545 93009\n14823 80758\n18720 20398\n15596 47046\n52673 93942\n49127 93750\n33090 56202\n6137 64189\n39615 58828\n34375 99368\n53981 80163\n6192 90602\n85904 99854\n2175 53020\n9770 25921\n2176 82541\n6655 19553\n84334 85234\n14688 26415\n41695 83239\n42111 93218\n3920 74659\n5830 15210\n36178 96979\n3090 31998\n52554 99453\n9334 67348\n9437 71547\n65431 69557\n51453 67033\n83388 90516\n86848 94118\n67860 81276\n39664 88291\n19430 90117\n54456 80669\n35966 50978\n44176 88913\n41880 86338\n34621 71208\n46014 99308\n90077 99101\n41884 90878\n14691 51463\n6254 22782\n17597 42316\n49643 87020\n17283 61493\n20045 88544\n54915 62802\n71819 80366\n31696 47817\n10560 70105\n30666 81456\n2066 28153\n23269 40118\n55456 99255\n47087 77289\n63713 89902\n9725 22724\n39534 66884\n35558 69269\n2961 62938\n2211 59588\n42021 43991\n49492 70865\n10074 46638\n48535 67142\n39813 70841\n35836 97304\n46828 94469\n47175 60959\n34544 97898\n52651 75703\n3992 46378\n33778 81927\n22119 94799\n47766 75510\n85497 94687\n50225 61829\n16857 16869\n46710 81715\n84293 89769\n10833 98222\n61417 93093\n6046 52934\n30968 52184\n36991 99320\n9659 55454\n17405 31437\n14622 32005\n1477 29846\n33164 45050\n86271 87358\n44480 65023\n5126 67773\n59031 87323\n56379 76459\n80911 97893\n5896 92793\n19896 21959\n11299 89080\n18579 30101\n36868 69698\n32942 85233\n14066 37517\n53402 90090\n42582 98297\n30631 93054\n21549 61557\n63221 71442\n13822 53418\n29707 98792\n69988 81478\n75020 97342\n64986 93265\n43680 45774\n63004 74404\n32319 91828\n6871 45229\n5885 46789\n21054 28679\n37960 44467\n33676 57280\n42263 58229\n82073 95067\n29606 45344\n44381 54050\n5514 22033\n3165 36532\n55710 64897\n29456 80205\n72957 86650\n7778 15198\n25134 32742\n70998 89914\n52174 90863\n39173 83852\n19333 82909\n10242 61817\n49348 61742\n48419 92600\n17062 51640\n11992 76272\n11121 36245\n73160 86823\n20134 59518\n35402 99522\n42296 53156\n2910 67471\n60908 64041\n78366 95501\n27024 83704\n32165 77221\n34902 80663\n12559 29441\n40749 98446\n6066 94115\n37081 81786\n64912 87207\n30787 71729\n53201 53637\n93192 99211\n6188 8914\n64526 93070\n39709 62079\n18251 48026\n56752 68464\n10677 42654\n29543 53202\n36260 54884\n25084 99821\n16887 78070\n30634 68383\n7718 98896\n48408 74442\n8438 58313\n44075 93390\n3704 50096\n52797 97128\n25098 97791\n3635 12755\n16084 26590\n85373 95726\n13709 93804\n73393 87128\n20008 91945\n2085 6184\n46788 46895\n55154 66245\n20750 82449\n20187 32005\n30700 62750\n16208 50716\n66179 85060\n48383 78659\n2397 4023\n24741 57691\n6419 24801\n15838 62916\n74135 89993\n76012 88260\n27266 32137\n73766 84359\n13117 36100\n34874 61468\n32914 96749\n25987 77183\n36741 45960\n46322 60259\n27243 32138\n32899 55342\n39703 66092\n48594 68643\n22127 25276\n797 34778\n39846 48610\n12526 72962\n20985 79277\n39086 63992\n1343 33249\n79113 86142\n81641 95685\n27191 29830\n76300 81019\n12281 20991\n61699 62777\n20555 63278\n66855 98318\n51603 65460\n50643 52372\n86857 92025\n47018 92390\n37531 43014\n81003 88878\n44480 51089\n32530 55026\n39472 78912\n37695 67102\n8743 65084\n6161 67515\n4001 33966\n26062 86750\n53242 84884\n18984 94267\n16302 95389\n24453 29566\n19712 69688\n59237 71161\n48184 90686\n69016 99542\n9331 94185\n50220 52632\n8578 45825\n41833 85184\n12413 97856\n24730 65322\n15022 50672\n56953 98286\n5057 11833\n17380 36726\n2743 65454\n27152 50300\n40552 50428\n60480 96057\n2093 3647\n21575 61050\n19224 87206\n1688 94948\n40099 48721\n11725 70092\n8178 93548\n45306 59553\n40148 73824\n330 85316\n62824 72859\n44816 74157\n36857 48105\n40485 79979\n57625 67362\n2725 28251\n16137 22905\n3247 67932\n55967 78979\n39805 81522\n4465 24256\n2911 48371\n81699 88612\n1612 91730\n21201 98481\n9705 41090\n74803 78085\n12620 15384\n26959 97694\n59066 89619\n8989 27896\n18127 40277\n59424 85989\n53580 95684\n23738 60157\n17304 56493\n35332 96095\n27754 94030\n12524 57755\n18631 99192\n2748 14160\n7639 86089\n93619 97756\n37463 94497\n33974 47774\n83653 88030\n2075 32007\n53642 65193\n65311 99078\n7170 40400\n61892 94856\n59548 60548\n4768 21362\n25402 89836\n47785 71965\n50645 72576\n7426 93594\n76999 86472\n87931 90742\n53239 96100\n10207 32310\n59492 99306\n20638 22561\n22543 76527\n26948 80222\n21546 35527\n37102 85536\n30163 45799\n50016 96970\n6245 57437\n58098 67977\n61889 69570\n34926 98875\n24816 26503\n33821 65689\n45605 58802\n48094 95930\n12329 53268\n17088 34457\n31107 31234\n16889 22729\n60604 98444\n26319 73878\n12318 96421\n23120 52975\n6220 49642\n64518 70033\n4961 62808\n35837 98362\n16688 60476\n29635 30532\n6185 82560\n10652 15894\n32262 90516\n21589 93518\n9225 42087\n21569 51306\n30658 56769\n25736 47811\n7746 57506\n7225 11885\n11072 19763\n38463 74480\n17265 47136\n34873 38680\n41880 47538\n62462 75030\n20658 92896\n50561 58312\n44265 86246\n11110 81166\n35097 98484\n27241 58508\n33127 92258\n79580 97962\n2396 43442\n59006 80510\n2963 73245\n7953 93713\n68520 98511\n4956 22709\n27456 53320\n12640 71025\n26924 47411\n12442 81556\n22280 87388\n66596 68136\n10114 76677\n58587 64498\n36691 48177\n41442 79919\n72549 99350\n48078 83306\n18082 90831\n23941 62624\n20981 93190\n32807 93527\n37580 41670\n37936 73864\n13157 30073\n62690 78909\n24933 60714\n6950 46152\n86073 96265\n54922 55604\n34375 77865\n57652 57733\n40259 60921\n42113 81049\n32170 85298\n47600 54017\n9648 63866\n8664 96516\n14425 68740\n12771 81329\n18928 67756\n19022 94619\n40528 95151\n88981 91225\n6473 30963\n15657 88646\n27481 36287\n15668 78096\n12340 18635\n28821 65901\n40025 65809\n54107 93278\n75475 76573\n15214 42528\n41199 61932\n34848 97098\n11975 83374\n62694 73876\n13501 72825\n48832 90722\n66647 81703\n14738 35080\n81737 94009\n31546 77107\n58425 89816\n47095 53710\n11402 74383\n83643 90240\n49307 63202\n50060 71962\n62912 85419\n33788 96039\n43932 81184\n9909 97927\n20289 95951\n24342 33103\n11960 41507\n11022 19946\n5245 93162\n20753 40196\n8397 21252\n18660 47025\n19986 60559\n3206 25276\n8892 90327\n28917 95789\n11677 34451\n38331 80231\n4767 38536\n10894 15180\n23688 38786\n25511 25581\n30945 78691\n39743 58291\n85489 97539\n82619 87762\n53278 64499\n21687 52615\n48154 75775\n38878 42131\n27259 93919\n74123 75049\n61853 97571\n62496 81779\n14907 76354\n9781 77824\n44 90204\n44407 64685\n53928 83871\n28626 34910\n59022 60189\n88417 96155\n8781 32290\n61140 69335\n73561 83016\n66836 93877\n68177 80491\n50995 67776\n10420 50109\n21316 30785\n30170 66673\n22263 55631\n59014 96777\n26364 98339\n42288 81013\n26942 52105\n34169 47909\n43678 67884\n21005 75347\n56149 93156\n25622 28478\n37877 44860\n66105 71425\n23889 48525\n66438 95346\n5020 28713\n21683 83009\n51508 96998\n16121 98739\n8874 98961\n18765 85032\n27846 97764\n63122 87454\n11960 40336\n13208 99377\n1414 54187\n6144 98556\n2090 84647\n39966 77708\n4626 77048\n54466 70458\n5068 96879\n39987 58776\n47216 67375\n20714 32723\n27968 45130\n50048 88735\n39675 92579\n36329 93669\n70742 85510\n35340 78619\n47385 71614\n9522 30814\n23295 61786\n57283 83799\n5581 66333\n73457 93890\n68408 81407\n26246 27894\n3818 32277\n18412 54278\n37448 94832\n35594 64782\n16571 36068\n59935 86423\n65817 84805\n15886 62750\n33706 38696\n57134 74043\n64853 93368\n39108 42650\n8984 26705\n58688 64603\n60639 86617\n45437 55547\n27956 46416\n58475 98836\n16873 53234\n33335 96418\n56329 89022\n11481 51313\n38074 92649\n55367 61795\n60046 82559\n4483 25849\n49445 91189\n65685 74510\n26209 86928\n4998 50127\n70200 92111\n50998 93418\n71234 72440\n53313 70025\n49 21556\n11424 42377\n49181 59305\n67903 85605\n3361 7213\n41238 68981\n28362 30247\n17703 73167\n25555 88159\n61313 94578\n40126 77401\n44729 93096\n39468 62775\n71372 98985\n43342 89823\n44908 91159\n31389 67262\n37454 50392\n10126 71170\n11708 43251\n7336 76497\n25968 95569\n10289 27157\n42537 98220\n66917 70056\n28833 30390\n49301 78461\n52173 87512\n3000 14508\n1893 25080\n5561 34623\n34040 43912\n19255 27942\n29765 63733\n38960 53845\n33243 54549\n33707 40565\n70307 91016\n70090 99819\n16877 83073\n49373 58376\n53708 92473\n21677 78907\n59816 68063\n2036 82177\n23666 32315\n2300 52400\n23865 94169\n34335 86929\n13216 27491\n9815 9939\n5102 74777\n17088 98338\n24794 39287\n39783 58260\n71497 85503\n8448 22839\n50086 80743\n9814 83381\n53536 76601\n31155 40017\n4903 17981\n43326 64499\n46422 61077\n80577 99064\n38365 43187\n75661 96543\n70799 77017\n13461 44456\n11763 60152\n51399 51618\n45417 59908\n68553 81250\n10346 44036\n24176 24698\n36814 82739\n72439 77898\n277 29164\n24903 36539\n2147 23415\n6884 57013\n85569 88816\n61580 76112\n88177 97632\n48683 74409\n27216 38655\n77771 80816\n45283 63067\n30907 93970\n3892 72597\n6646 17856\n42742 77527\n1019 48234\n6017 38056\n8327 8512\n1380 14944\n47182 62071\n20960 64543\n54831 61686\n3351 94341\n75328 85592\n6952 23947\n3450 41536\n49725 98221\n53745 92915\n7694 71605\n40694 72974\n32658 79386\n17510 51550\n8218 47243\n30105 53383\n41304 71019\n75891 76901\n32893 34762\n4573 10304\n30670 84843\n20297 73441\n37095 55315\n17792 95020\n29897 76633\n4079 28481\n81414 96746\n25985 81036\n22813 31842\n36077 79669\n17180 27634\n36450 38113\n64163 80403\n31715 34467\n19060 57547\n17330 54976\n19679 51106\n68000 72592\n69902 95896\n64865 67000\n13887 82075\n9089 98623\n19450 57804\n8880 28533\n35491 75169\n44557 47262\n47738 82295\n24126 93917\n963 5193\n32202 87338\n52791 54098\n18853 44338\n90881 92998\n8373 45658\n20294 32813\n4478 98799\n58215 96619\n62353 73301\n6251 54334\n86163 95245\n41219 51423\n262 95281\n62664 87318\n79045 84550\n68036 77573\n19509 98504\n2084 77973\n20445 66550\n34035 52769\n80378 94172\n2500 18350\n42606 75742\n34144 84729\n85382 94482\n6889 69260\n22964 95941\n16109 98671\n1 49368\n12404 22513\n6366 34388\n18548 44569\n26902 33995\n27241 49463\n34041 59025\n11871 60184\n89265 94954\n42842 78635\n51404 63885\n8907 35792\n27959 68608\n66002 71016\n62705 98940\n27522 39278\n71856 91147\n22125 73458\n5745 75417\n58674 78366\n15425 60479\n58459 67231\n26353 59279\n51214 92730\n18558 83938\n4478 27878\n52082 70679\n27836 31073\n9063 23225\n73580 82286\n6851 72164\n45388 58493\n27163 65023\n60549 90979\n1698 87531\n16356 61865\n22887 32115\n40631 88979\n7124 87322\n26262 73732\n22608 74050\n71454 96576\n19076 76248\n49999 67753\n21352 96561\n20766 71108\n9007 52273\n27576 57677\n18083 43448\n63060 90287\n5089 14172\n77055 79856\n61465 83232\n17421 93089\n9468 74396\n20925 30032\n34342 68884\n15321 80551\n46227 49469\n69979 79554\n10792 63946\n53975 54474\n33782 42958\n16978 83062\n39727 68303\n6901 73105\n13545 75264\n4172 46262\n83244 90045\n3119 18498\n77862 78219\n2294 63843\n6579 19869\n9991 17870\n78643 94114\n34757 44043\n50912 90571\n71590 89671\n27657 33534\n29718 38855\n19381 22043\n17708 40313\n12471 16068\n45862 73459\n2911 19342\n36511 94901\n13898 42810\n45768 71066\n3833 86196\n51065 53200\n40660 67982\n37375 94070\n38571 58841\n31426 62827\n50517 87331\n10918 61393\n31793 98581\n29331 45614\n10005 43000\n19087 77006\n28446 73865\n48967 73647\n28452 73861\n26041 64150\n5937 91546\n45976 68693\n38840 52151\n13569 78421\n32129 58021\n76794 89004\n52033 72585\n63 34857\n64315 83632\n66309 86305\n20207 50249\n33552 49388\n16431 86224\n47573 80782\n20057 25622\n10447 14741\n72798 83894\n17374 60148\n12151 83670\n5770 45253\n77269 90805\n4371 37320\n39339 85067\n19129 48170\n34834 73917\n49081 67078\n16914 77766\n20383 82667\n47758 74017\n19234 98468\n37377 65688\n58946 74294\n11518 82970\n31914 71282\n13271 38197\n32167 72498\n51763 61346\n16118 61340\n41820 75464\n7284 30307\n18762 64933\n75810 84856\n11959 32211\n63670 77989\n33455 94424\n20982 79909\n31636 51916\n6534 80827\n1565 40814\n28686 59574\n35028 52060\n34396 74851\n74692 85676\n2917 47990\n14413 54712\n49071 81563\n51271 91553\n77894 91983\n2559 30815\n52528 84530\n4491 9181\n43295 78531\n34855 59813\n58835 85392\n35805 41621\n5935 89043\n4208 19690\n60665 82580\n16524 60958\n32641 86813\n77245 93792\n14394 81928\n6257 52196\n38584 93290\n31965 92573\n85223 99661\n20807 58980\n36940 43356\n25145 76948\n12292 46974\n33763 68321\n82999 90294\n52998 55349\n8256 93630\n6529 67231\n69202 91652\n43361 99262\n39475 63125\n6931 65930\n26307 60655\n37545 48805\n61375 70029\n8346 98482\n4497 48662\n27507 61313\n28415 70025\n3056 68704\n16214 68458\n5793 81698\n51626 72145\n64304 91073\n60522 72136\n71578 85245\n6554 10683\n27379 91967\n39658 84918\n10280 90017\n5011 99863\n73916 82903\n43255 68335\n10629 56786\n36529 60139\n48790 50362\n60506 79291\n57677 67436\n20963 30851\n37319 62139\n64893 91003\n5685 34913\n51524 80509\n41796 98255\n71275 99055\n26538 53337\n12897 62511\n55 74227\n63538 77383\n24111 72339\n20863 84542\n18563 89542\n3368 41757\n39144 89358\n3689 33057\n20709 85983\n14646 98845\n31127 91931\n57058 61907\n3418 14708\n93335 95413\n35685 88690\n58754 94993\n33220 92031\n8643 73871\n51465 69483\n36570 61602\n69219 99823\n63426 82257\n33061 37655\n30491 77166\n48430 96238\n34253 94523\n38658 72734\n36196 97574\n68794 81548\n15126 98997\n17986 52947\n11896 71128\n44469 72041\n16397 65920\n20052 41014\n30960 66589\n30872 62649\n4442 28881\n6005 29168\n8702 82104\n10283 41770\n45460 76344\n6825 63677\n10529 79131\n6676 27594\n59826 76929\n37885 39922\n7075 41410\n47722 86496\n3702 52208\n975 66342\n26323 47218\n2466 89579\n36107 59918\n50659 82861\n95856 98407\n21028 93882\n18303 40127\n47267 66628\n16564 61684\n15473 49594\n14602 84833\n58686 97238\n23956 74715\n54942 79990\n18691 82590\n44219 97077\n22729 41376\n39826 76125\n4253 80407\n20371 45817\n49008 79029\n87985 99502\n8747 99701\n3709 83807\n6131 57455\n48405 96723\n73345 77081\n23528 25078\n54401 74038\n12733 79171\n34387 56684\n66557 91677\n30446 32124\n20713 46086\n24170 36618\n77824 95484\n24457 55755\n11298 13670\n45353 68631\n34964 53006\n67752 92293\n55704 93963\n49172 75330\n45465 75127\n16785 20561\n57084 72600\n5374 67262\n8447 66643\n87068 96350\n66491 84173\n14277 88471\n1711 72211\n34853 95530\n17778 64674\n6787 97706\n7479 99019\n38237 49508\n42477 74350\n19083 57474\n1584 80976\n34201 61724\n48459 81570\n9374 45566\n56715 98208\n16975 54372\n69099 70193\n16000 58108\n80486 96812\n123 1082\n22032 83479\n7289 48098\n56899 74445\n15486 96643\n36615 57997\n6458 94797\n24636 45998\n32065 86321\n37037 56918\n3002 49385\n55855 93697\n35032 98408\n28303 89634\n18209 21399\n33796 95435\n49803 79677\n92098 93670\n60256 77141\n26095 63184\n6574 13620\n70172 70199\n41610 83605\n42525 68545\n6001 9904\n469 41023\n26270 89294\n30437 63094\n66074 95968\n14813 48818\n10687 55253\n19033 24623\n6111 71920\n31600 63950\n73545 96610\n149 37328\n23881 64998\n35751 84337\n25294 41046\n5263 75283\n48066 65506\n26959 44485\n55151 78989\n4959 37915\n31127 53438\n37002 85052\n13605 23478\n73967 78394\n88860 89314\n10750 36630\n36629 85889\n12467 88109\n52726 89498\n81319 86939\n9273 76312\n28790 75604\n9793 99282\n23641 71164\n80329 86642\n39938 94518\n61797 89343\n37470 79986\n66443 67695\n45229 52913\n60131 80896\n37006 40636\n65358 84206\n23711 45958\n59239 67064\n77748 98867\n29596 45852\n42504 83095\n27601 65471\n28119 29813\n84981 94097\n87073 90140\n9434 58727\n40023 57125\n10873 93792\n9595 93568\n11580 63104\n28217 85916\n62340 77318\n18481 54802\n60417 98317\n15824 18690\n59125 80070\n12453 52772\n68881 97225\n45363 57144\n44642 97788\n35778 52005\n70849 87300\n6261 16145\n34759 75049\n508 20416\n29512 62584\n1582 15846\n55857 97113\n13296 85885\n36101 85055\n8345 51892\n16630 66152\n2575 38245\n22085 91267\n86252 90072\n64490 78592\n3118 94479\n1958 55554\n8132 91608\n22041 60496\n11937 86039\n7644 13274\n41518 64275\n17967 71466\n66311 99047\n45852 62750\n3485 11048\n35989 56359\n14336 53135\n15701 75749\n14541 69162\n5766 10025\n50561 87060\n6683 96580\n61049 71718\n1795 97645\n77171 94550\n58760 92042\n54788 64860\n2088 83062\n22594 72063\n17838 99319\n64910 99141\n65129 74948\n1568 33078\n26121 66636\n15254 41063\n32221 74105\n35526 73839\n41153 72978\n40080 88151\n50774 84379\n38427 88618\n10676 26678\n34144 82720\n19579 96391\n34278 83542\n18555 23346\n7471 67023\n53138 66670\n81088 92229\n27220 81904\n16609 83615\n60608 83996\n26722 97926\n54510 87275\n22743 95316\n58907 97862\n23597 33925\n24984 68696\n77654 94760\n20015 43405\n4403 73784\n40074 68213\n61544 83408\n56936 58284\n34700 69317\n34177 79233\n2056 76164\n35830 65251\n66932 78071\n53170 93790\n9945 13772\n59121 74860\n57384 58118\n35395 35708\n35457 47371\n59134 90783\n14094 40864\n21440 58613\n19102 74648\n16705 49654\n25533 88577\n6877 67628\n57782 76226\n59499 79110\n4969 14051\n37778 59309\n65095 69559\n52522 67894\n48579 91396\n11803 62654\n49767 72811\n32725 87494\n37134 86040\n87174 90332\n25247 50825\n55687 89532\n40172 77449\n56506 84877\n66512 72763\n11049 13237\n4067 59353\n23071 54913\n13323 76095\n28815 44359\n2824 92570\n18638 43163\n37710 74994\n77022 81221\n17034 18706\n30472 78768\n14514 81137\n1986 15563\n34467 74697\n53072 86681\n3798 71666\n53506 54434\n8857 69848\n12483 84110\n1045 23648\n11153 63548\n20381 66212\n72873 96293\n18808 99077\n15269 57600\n1541 98498\n27986 43533\n61219 87121\n11944 19950\n36864 60907\n64616 75121\n57848 74899\n47135 96331\n68131 77905\n38562 94172\n6045 30918\n947 53838\n12557 91872\n86310 93877\n61820 97116\n82316 94277\n16555 61185\n28411 29798\n43248 43938\n16011 25405\n54112 77900\n35211 38126\n50932 72914\n70557 91729\n26394 69898\n64985 87197\n8916 89093\n39894 97880\n56374 99699\n53839 73400\n39649 98824\n7775 54086\n20953 46971\n38704 63319\n71243 99374\n1552 11206\n48312 63169\n6857 68738\n74133 80480\n28764 76630\n44860 44984\n53951 87028\n19674 56931\n7833 25607\n23111 35747\n6523 6928\n6700 56305\n13727 22273\n57391 76520\n38203 73219\n17128 75617\n18539 32868\n11214 33380\n27104 98888\n21635 31200\n27172 55117\n17937 60083\n18469 22287\n11180 76953\n75892 90913\n14835 67768\n32023 75872\n9329 29547\n70040 93142\n20838 71349\n16916 48220\n9688 52498\n9899 42772\n68900 70947\n6189 36978\n42981 64081\n44973 85289\n12201 58304\n13950 90892\n1438 90290\n14051 22306\n71299 87692\n48530 62169\n64089 98206\n27123 85449\n31717 62317\n8653 55219\n54600 90186\n12814 58106\n245 31095\n26688 72032\n21290 43534\n25309 63770\n40308 40655\n32578 75912\n12966 47170\n63459 85065\n43718 55744\n8847 77492\n62303 88694\n45886 51486\n32457 99082\n27963 70928\n28362 47859\n33142 87085\n18495 25502\n18375 39497\n53322 80708\n28260 96778\n18520 27745\n41328 98646\n49480 99522\n56227 75220\n13566 16065\n34786 87485\n23836 25654\n8368 48804\n31801 89962\n6926 79209\n16496 31006\n64184 86891\n12032 75371\n3134 77474\n18425 28286\n32187 70965\n25805 56083\n55465 57670\n17713 96289\n62495 94741\n16089 84217\n80628 97479\n214 91316\n6911 59034\n70189 99843\n15566 60770\n26835 35772\n4527 73370\n3773 25193\n78367 99999\n72345 81427\n11431 30812\n11201 43667\n23891 52997\n29065 99966\n55663 67972\n24805 98028\n42207 49103\n89044 93066\n32014 64896\n62392 78931\n97560 98733\n69585 93274\n59869 91584\n6237 78198\n13946 57462\n80971 82924\n12592 19391\n75664 92149\n9298 70859\n9808 40945\n15590 44402\n34379 35288\n30078 68626\n5228 18695\n17016 44875\n36899 72617\n19349 47470\n5829 60694\n5994 32927\n35177 53758\n33182 88645\n22945 58689\n38508 88787\n8439 64685\n78946 97798\n6891 97167\n9315 78531\n25960 34516\n38467 66136\n77428 98206\n41595 67141\n47563 60975\n46717 91026\n38460 47174\n16214 42692\n9666 92639\n68623 88446\n12880 68330\n39522 66221\n9062 19206\n22684 81941\n52046 83196\n32642 81319\n33056 80567\n41569 77318\n24810 49258\n48158 79239\n20347 53349\n24588 38291\n58780 88969\n1897 32525\n46102 93756\n11778 30394\n11138 84735\n19624 50988\n2965 92752\n60412 63881\n31031 40219\n13302 61495\n5870 34715\n15533 83123\n65285 98299\n20576 64413\n824 87966\n34881 61141\n28302 39626\n59782 66524\n57222 69316\n7400 10810\n67920 72423\n29292 60575\n38241 56755\n25357 99944\n51309 62819\n78229 96370\n34879 97424\n66424 96121\n31254 45912\n80736 83756\n42885 91212\n4993 51470\n7324 73648\n45442 97340\n30424 82520\n8856 48333\n72504 81377\n15037 92546\n6375 34067\n37166 76215\n25480 26552\n30225 65552\n28675 44502\n40909 97070\n4112 15892\n8100 27703\n7483 56219\n88181 96129\n32458 83988\n27833 34034\n56677 79342\n3154 16186\n22348 89984\n18669 32625\n38968 81666\n77756 79025\n71183 90626\n32439 35569\n21880 41543\n53926 61787\n16184 45593\n49007 87122\n23461 62180\n2148 65543\n17167 18819\n9201 56306\n52543 73111\n23505 45948\n42494 88988\n56534 71353\n44582 45013\n14171 20530\n49700 99330\n35311 63801\n22800 90227\n71079 84410\n22930 34004\n45185 66045\n37019 63780\n46599 55689\n23119 48698\n1845 35983\n54923 99671\n49304 60086\n38039 72748\n43699 80010\n61377 83881\n66101 82674\n51662 79940\n8369 70056\n28365 89467\n27143 46847\n33557 62560\n11340 49333\n55740 62938\n19649 61594\n86410 98059\n43214 74454\n52133 78195\n14232 17940\n12581 31761\n35080 61402\n3527 10897\n1614 2424\n32203 93442\n1383 12224\n10614 11231\n30653 82640\n7035 57211\n58133 58622\n22492 26485\n60259 92353\n40583 44823\n34653 44490\n20819 73047\n32869 66218\n6475 24538\n36195 57008\n52279 73265\n32028 32733\n3482 95505\n13655 15491\n78674 90714\n4120 7834\n26688 92461\n34330 77538\n36782 39336\n1765 7043\n30360 77088\n61184 77440\n53207 77821\n40923 95513\n63233 89407\n48517 86076\n76014 81385\n15808 23926\n41364 76829\n53990 65018\n89042 98452\n1409 4669\n54430 88600\n23459 95325\n70391 89275\n88772 90425\n19022 93602\n78800 80577\n7536 65338\n15010 57846\n22493 50400\n73722 98973\n28719 38632\n26557 71072\n49321 99053\n52132 82873\n10693 52161\n57236 73586\n5040 72437\n69390 90000\n63777 75241\n12127 75356\n12774 82541\n12653 67685\n81121 88089\n47656 63938\n26776 45129\n60905 64512\n4963 94688\n50161 62641\n21184 90530\n11691 20431\n19724 69704\n2212 62728\n36409 84182\n73215 91060\n7259 52275\n61449 65610\n30634 85009\n64563 97990\n88006 91312\n3905 29476\n45622 66407\n12259 54427\n163 19517\n37226 57791\n24414 55482\n21838 93664\n34375 48741\n66777 80854\n15101 61687\n46944 53412\n47428 81901\n18962 56585\n35734 72916\n34722 49978\n42858 81458\n24967 79879\n1365 10981\n18001 83999\n12583 61603\n35264 90501\n89612 92602\n84513 89889\n19602 81701\n49493 90852\n30217 56495\n36762 65177\n45370 45460\n7239 22391\n44552 57509\n51345 53196\n64386 92863\n33397 66940\n28749 97322\n6400 48716\n75744 82184\n53845 55482\n10503 53339\n61732 93393\n78646 99688\n38236 58574\n54294 64141\n13051 49809\n1437 48761\n58738 76604\n9680 42809\n41912 63981\n40992 48700\n18433 69448\n6364 95651\n4914 40757\n2251 31998\n10319 71259\n26618 53086\n37529 78955\n89388 93566\n52473 64865\n36866 58929\n70808 72540\n11780 76239\n31716 51553\n11974 82976\n68190 69907\n25624 40454\n21202 29681\n3936 69974\n15430 67475\n55240 60438\n33472 51823\n47285 62535\n1936 74678\n25529 31486\n45085 82005\n52775 60173\n9427 95076\n74062 96048\n23548 62355\n29176 74350\n63236 91329\n11337 14640\n605 20698\n6594 11132\n37913 88559\n41014 69927\n59197 72848\n15072 91560\n5528 92022\n51035 97699\n66936 77361\n5115 88359\n43360 58485\n52958 86831\n4493 35756\n66585 96995\n31627 99859\n33221 47971\n8307 77577\n21811 51365\n60996 83068\n8457 81992\n33027 47860\n74191 75816\n4482 25689\n18262 19495\n22259 59222\n27843 59396\n28518 86337\n39958 44107\n12274 25068\n34141 75465\n6999 10909\n12797 95195\n4146 90833\n54922 85695\n34699 80147\n13033 48379\n36154 88113\n21930 26259\n69258 92008\n88377 94284\n9359 17276\n55586 72188\n25675 26599\n5155 34941\n54696 71270\n32685 82282\n23791 33853\n34225 48744\n8349 91579\n70062 99908\n34224 87463\n65113 80163\n32350 67240\n74521 84766\n7353 63613\n8544 21597\n41819 66862\n24525 25251\n73412 79229\n563 14845\n19776 24410\n14564 55105\n46035 77741\n19267 21274\n19493 53079\n29271 62691\n32234 44796\n23132 98019\n16721 81767\n52613 57933\n61881 95787\n21418 92687\n31488 93110\n1019 67941\n75754 98764\n31293 89306\n37855 63431\n89393 93345\n3181 6344\n3665 25550\n12855 64607\n35359 44330\n12769 33810\n15 77496\n37888 85828\n41163 78453\n6053 76913\n64823 97614\n14675 33308\n567 70999\n85546 96817\n15598 40885\n64579 65791\n14122 78091\n15469 83064\n20938 57889\n33665 61892\n12482 67740\n24705 58914\n44279 83655\n4399 82328\n69574 76735\n47293 55158\n11079 37878\n20806 34529\n53714 81635\n17734 51096\n31170 98855\n96845 99332\n13262 88825\n23222 67105\n4417 7347\n11595 47875\n53759 68804\n84823 96238\n82255 92943\n49016 55309\n7276 34733\n1093 73423\n2461 60594\n15793 23610\n32887 48047\n14241 92413\n3831 44926\n659 16806\n42099 80181\n46994 73433\n40457 51538\n44810 48748\n9805 48814\n28810 59218\n11769 57447\n4575 24777\n8399 28861\n70486 75032\n4710 12323\n26178 65733\n16698 38238\n71328 77831\n1947 97610\n8007 96311\n1369 81434\n6338 29770\n48717 56666\n4877 29982\n49437 65993\n11472 48223\n24248 76566\n13813 79189\n41699 70422\n21587 62850\n57588 98310\n31738 64719\n3731 61741\n50181 72651\n8192 24807\n68673 86823\n78077 82381\n22979 68811\n34326 94318\n84109 96475\n20612 98702\n45332 73703\n46790 52594\n38931 47619\n16848 36231\n34611 96499\n43087 72513\n61818 96514\n46261 99264\n77995 86724\n875 20758\n41884 52454\n582 54941\n31576 89610\n79668 85171\n39374 89611\n66481 98350\n18536 59382\n2334 13344\n38407 92246\n20444 55116\n25370 65674\n38382 71675\n45617 49536\n56237 72077\n7332 50300\n55854 86819\n7629 40156\n12395 28142\n35583 89421\n36530 83749\n37866 45398\n30208 39228\n25476 92132\n32771 40924\n30425 83050\n32239 41787\n23541 33732\n50913 96199\n32810 85719\n65409 88723\n79604 88143\n36111 44425\n49437 80144\n12732 89233\n472 52571\n15945 16036\n23139 23497\n8842 31905\n55015 68043\n11994 94521\n48639 79422\n2654 91276\n16031 17325\n13912 44648\n1947 58054\n22624 85254\n84746 89001\n23554 42067\n36463 73848\n21732 61491\n21891 95134\n4457 27005\n28818 49053\n46669 66308\n20994 61067\n41930 57542\n18827 97498\n16419 81328\n89517 93289\n30405 37713\n28533 35847\n34688 55756\n38519 59722\n17560 90640\n870 15970\n26088 38782\n49588 59602\n39754 98797\n31866 84663\n43605 46481\n54925 90943\n32624 61544\n61319 87220\n45957 68028\n8769 15149\n75317 97613\n73421 90420\n15116 34163\n6360 82506\n13076 29418\n2636 19485\n15953 78535\n81162 98480\n46646 80642\n45690 87766\n73522 83384\n37788 78535\n37387 60211\n68204 72516\n51114 66181\n67089 86208\n19351 67940\n50895 89139\n86257 94915\n26715 59200\n17029 19773\n14189 25884\n52517 81576\n37830 96718\n36891 69449\n41650 78930\n69178 91322\n19153 48704\n63784 66549\n62966 84924\n27293 84290\n22970 25306\n21286 60956\n20754 34347\n1172 99987\n64635 77278\n18456 98679\n28363 62088\n12657 20587\n24525 37624\n31310 49564\n29524 75575\n26642 46645\n14396 40601\n11060 67453\n6307 37329\n76671 79675\n341 1823\n8100 61896\n42777 76563\n86901 93693\n10983 93575\n32070 32317\n65455 91861\n33251 77698\n52586 89041\n33637 39278\n23597 41355\n48837 58812\n37899 39843\n12797 98922\n45853 72168\n3321 27656\n22617 44051\n10074 30783\n57263 73083\n48805 68102\n26430 31524\n30884 55924\n743 46408\n17379 79379\n6357 40787\n18710 80535\n20763 84735\n55749 73963\n579 19487\n47518 76242\n43642 61671\n28975 70064\n666 33791\n35065 75471\n24339 85176\n50511 66555\n41652 64592\n13395 96912\n52475 89245\n9758 32243\n40330 57004\n17755 28127\n14746 59368\n39988 81038\n28384 56749\n46013 58815\n27396 92543\n364 23657\n31200 94686\n23242 90889\n1851 45194\n2386 3630\n76518 89452\n27385 85083\n226 5849\n30367 74822\n81334 88582\n4395 68969\n15150 88797\n10851 99532\n16609 24269\n50516 55774\n28651 72782\n3382 59601\n2074 96479\n55916 80916\n60190 74625\n19096 48025\n42267 92875\n22036 35841\n462 56895\n11299 48116\n13887 88185\n28015 46430\n54369 68598\n471 47562\n35372 56905\n8530 70569\n6359 89106\n39077 53618\n74475 86141\n21378 95487\n19137 34073\n15426 49350\n18103 42432\n46035 56455\n82477 86219\n3619 91955\n60177 69112\n80757 80974\n91096 91685\n22014 38598\n43680 97140\n7317 55189\n29588 33084\n88278 88746\n13798 40575\n16644 65800\n21035 86094\n57324 66392\n1237 96959\n49764 90137\n14982 73311\n68675 76065\n37539 77624\n80136 96478\n58788 83495\n50738 55606\n32834 60325\n55169 90637\n27689 44878\n32026 90449\n70729 74625\n10021 12140\n11672 63062\n35908 38439\n66724 91632\n26882 28667\n46204 54024\n50803 70907\n68586 83515\n45149 81566\n52979 53123\n34580 66846\n9665 65089\n58770 59508\n13942 94959\n4720 86036\n20294 36012\n49248 70045\n21617 92741\n77590 90320\n66949 67743\n43246 48192\n31602 38964\n10303 62415\n70919 88361\n21131 22783\n59546 67897\n6063 81498\n35817 92465\n10516 54016\n27958 53117\n17645 59276\n2912 17860\n31299 84477\n73819 88804\n8402 92245\n46671 83382\n6993 96385\n43557 88605\n43167 98611\n20130 84185\n91512 98036\n20930 54346\n62720 75987\n16481 89024\n14402 49191\n4500 42869\n46508 55663\n19223 33086\n17886 72321\n38468 40281\n42733 69966\n28589 80663\n4933 93611\n15179 15638\n70162 80825\n22391 61427\n7953 74506\n64477 86259\n43880 82130\n67605 98971\n10857 63986\n12647 74328\n4738 79102\n15900 27789\n2248 36033\n56494 99816\n47250 84800\n36494 60430\n7320 30038\n45834 58585\n50325 82215\n88081 99052\n32960 44027\n30821 91487\n18558 34645\n73595 94814\n40167 66131\n5069 32736\n30892 98670\n79547 90634\n50592 73342\n51545 83098\n38107 79640\n345 22564\n95656 98595\n41894 57053\n21090 49228\n25678 70723\n26137 83797\n43412 69013\n9222 57437\n36797 93151\n7077 80764\n16311 48724\n39129 95556\n11128 71488\n23247 78365\n36936 95360\n35942 96713\n3783 75481\n57222 59143\n48225 74599\n15636 28274\n25678 31346\n41433 80878\n49646 61461\n40979 64394\n14443 96977\n53841 64288\n25803 85609\n1949 58616\n11297 16882\n51670 84700\n8021 85598\n25507 66804\n66659 81037\n19247 27078\n67209 69932\n35786 69671\n78751 90857\n37036 63660\n12886 18698\n18431 73609\n30959 41208\n21415 35492\n27661 82351\n12820 37231\n5882 26287\n6045 35351\n4284 18141\n63790 87442\n22844 71143\n38645 91963\n30219 73207\n20688 66799\n8094 78413\n42652 88062\n37917 65095\n25026 25095\n57386 87944\n51687 55925\n5290 15865\n51061 77090\n32338 50881\n16750 61822\n8432 14649\n48917 59611\n12386 47354\n47781 61429\n81334 85210\n3591 55690\n45063 98329\n14937 50078\n532 31904\n10290 54197\n26027 32302\n64354 76784\n25922 91192\n12532 35762\n1221 23443\n14985 65604\n23129 62392\n30832 73131\n21021 88459\n12434 41707\n15481 27765\n86256 94000\n30288 96642\n7354 49805\n83067 86445\n30587 61885\n64730 97343\n15245 41156\n551 74220\n26639 91629\n57266 76857\n3166 85800\n35867 72102\n7900 83806\n56790 90916\n31278 32248\n37271 89973\n35989 62240\n6921 85422\n6608 7063\n11007 67040\n5035 60045\n76536 98022\n33295 78453\n56732 70425\n45879 69955\n11336 93650\n79047 91383\n20933 69394\n83724 92212\n7093 63793\n49663 56967\n57565 82318\n18912 26151\n71023 83541\n15977 37968\n26090 88092\n58013 61815\n39148 46167\n77958 99321\n49471 87041\n68410 81865\n40571 41353\n83072 90227\n27039 73419\n26634 28153\n6429 51630\n33767 76141\n38006 90407\n21998 75905\n24871 94869\n29013 69368\n35185 66692\n44613 55210\n3292 50401\n72823 81373\n43175 56263\n48019 95973\n25091 66743\n69684 72989\n3522 51569\n32453 39483\n38934 83540\n17162 85528\n20326 49433\n79994 80537\n35797 97559\n6910 97686\n64346 83578\n26377 80520\n20032 91592\n34748 84201\n19689 75243\n30664 74380\n19183 42421\n25685 95648\n33483 98516\n23901 63298\n77289 79685\n63844 71884\n65155 81441\n38727 69779\n31887 77818\n33629 72781\n13924 95784\n39485 70369\n87037 87556\n21984 85404\n54109 78009\n39384 88592\n60530 96942\n51584 98464\n29806 95351\n92965 97222\n11795 88059\n51221 73902\n58790 68208\n38903 39130\n36 79473\n79146 88226\n13010 60020\n7880 98077\n26489 66077\n8582 17608\n22595 83508\n7892 73175\n24249 90662\n3645 78231\n48471 61982\n43118 76408\n25930 33333\n32889 44453\n2782 41872\n23414 70402\n17374 18774\n2586 55614\n2832 67811\n2960 11903\n13322 83241\n8899 62832\n14355 84137\n34667 67331\n69730 94251\n48547 94999\n43633 92325\n66527 69820\n3096 6443\n15962 91019\n42387 70085\n48076 55820\n57977 65498\n81499 82096\n18026 48926\n25470 98639\n21057 58179\n66305 67860\n27653 85418\n41126 46474\n67876 75275\n97314 97946\n69441 93933\n63258 76932\n58798 61233\n48060 52669\n17398 88632\n2889 14416\n51888 79241\n7280 62211\n70583 93495\n42646 56055\n14336 38192\n15842 28087\n464 10135\n4253 37131\n60057 96657\n29926 71055\n59521 81298\n24417 46346\n35519 49120\n48871 55952\n36584 62482\n22620 98821\n64632 93426\n7810 45206\n43899 85336\n51305 65368\n63084 75758\n33306 78399\n36341 95434\n57403 57819\n53741 82767\n26673 65499\n26677 85482\n3193 79182\n30575 64047\n57282 92131\n8874 19952\n21583 60001\n2459 42900\n64393 87059\n13236 80233\n10463 14578\n80847 87205\n58867 61324\n25368 64871\n8112 48579\n14620 81223\n23778 37210\n69922 79405\n53069 59814\n22461 97612\n282 51395\n46625 76571\n77287 86165\n10675 70381\n42799 56399\n59223 89698\n14888 51897\n9249 39909\n48688 54183\n15909 39006\n12833 82266\n48912 98917\n28676 35971\n10533 57765\n40317 99478\n80503 80832\n83995 95815\n6435 54531\n48286 62490\n49788 81276\n32439 36711\n47719 72937\n55576 68755\n42132 79657\n7680 55431\n5433 69410\n9057 84178\n12170 28398\n15094 16019\n31590 78220\n70819 84479\n14732 40453\n21427 51225\n24534 75161\n33083 58547\n23188 62284\n17390 61565\n52233 72563\n20295 69965\n50319 73124\n17675 62650\n25034 83190\n43054 73507\n15418 35002\n16179 26470\n57584 97726\n11754 89543\n15834 19527\n35844 55837\n13867 58288\n28695 61157\n11064 65911\n12210 85865\n21520 57251\n49012 50444\n43342 81262\n3326 89854\n14257 87377\n54469 76071\n79222 81508\n42236 96784\n41213 90878\n1507 42842\n50791 56861\n59162 82785\n22612 32034\n57889 65103\n61950 75351\n92547 94487\n64382 78736\n32825 34627\n18654 21381\n13095 17949\n31712 33565\n16591 30271\n39443 79186\n22818 53919\n32610 78749\n7843 53281\n78039 88315\n2590 92524\n29061 44491\n28404 94986\n80647 91903\n13166 67928\n35986 98154\n24799 37339\n13083 14269\n32066 42310\n23566 25205\n9031 71887\n31994 41661\n41046 46352\n50979 55955\n15998 81243\n20316 79538\n82525 90294\n51025 92484\n81689 82817\n16700 75511\n28912 63080\n18025 46502\n14616 89729\n10767 94740\n43035 43291\n26880 27823\n44296 91087\n12093 19330\n12284 17764\n1569 49044\n33496 98342\n13556 15630\n5384 9739\n3921 86367\n5015 40340\n24234 86591\n56084 82283\n18511 88113\n50402 85086\n37266 40993\n47613 69018\n75465 99612\n85473 85921\n5701 50468\n14021 66101\n14578 76858\n40672 49246\n20543 36210\n32618 79633\n40666 98170\n22528 29282\n43411 64615\n21664 34686\n14737 59359\n16896 31014\n17545 61126\n62731 79863\n37608 44904\n16613 61224\n7324 20574\n49267 81753\n73475 74519\n27719 82580\n93542 93962\n47689 95534\n86442 91742\n3334 99469\n60815 80270\n34174 69214\n10922 93017\n22156 50114\n24391 84859\n17151 70883\n17864 39212\n4138 22521\n40738 80107\n27080 98117\n66141 99312\n23206 37356\n43320 89097\n45281 90799\n40725 52226\n68699 96743\n36116 38836\n81850 82274\n48298 62973\n32876 45110\n30751 87907\n20457 37486\n85557 87401\n27853 65757\n21496 79973\n32602 62259\n60039 66963\n82536 90816\n27548 58585\n62084 94590\n34636 39774\n7059 26695\n40858 58902\n16008 88441\n58821 64647\n38577 80031\n33859 93978\n7628 42372\n71209 80489\n5303 40765\n21608 93072\n6011 56067\n9940 49455\n40682 40784\n7942 47581\n33509 76546\n38340 73108\n51115 58196\n5723 23688\n12862 17007\n15892 47117\n4326 45721\n21182 51869\n54551 79471\n47626 64616\n30346 56181\n16160 80606\n25883 92338\n58547 99527\n2177 37130\n26059 69226\n9824 28441\n7668 78873\n83273 89529\n48511 82465\n29542 77186\n14025 85887\n58749 59542\n14611 97414\n71678 93790\n20191 75813\n75309 99356\n3717 32141\n21432 53866\n55374 78518\n87791 92531\n21332 75521\n69191 79501\n5354 46338\n21865 35623\n82249 88444\n68102 96981\n25969 32594\n73563 79484\n24779 44139\n73509 93233\n57997 97505\n24481 97164\n3652 47731\n7951 89476\n62840 64243\n29184 88489\n67953 84161\n44079 88074\n9941 38491\n86020 92707\n1233 23348\n8698 71531\n55476 91843\n36543 53339\n43259 70577\n36378 46382\n60558 60810\n19302 56432\n68484 82858\n44655 62720\n45620 53554\n219 21016\n3863 7791\n38774 93313\n4998 55870\n22979 53521\n73694 87505\n20226 71579\n1802 77279\n10686 58578\n37007 66420\n50052 61702\n14297 77057\n53721 67979\n16185 29798\n62503 90165\n12716 42203\n2464 52687\n6945 18583\n65965 83748\n28980 71835\n51488 91070\n66771 68035\n3278 64824\n7896 9120\n60842 69917\n22368 96668\n41067 73269\n22870 70978\n13947 87722\n47470 55864\n28420 40973\n16377 38960\n58668 77964\n26984 69379\n65497 87093\n83652 88128\n18506 71898\n28134 91318\n21901 70778\n79589 96912\n4574 50069\n66335 75325\n6665 87531\n20234 48363\n11194 79239\n10902 99127\n15616 79481\n5002 32104\n98246 99996\n67090 95563\n49497 59248\n35860 47869\n62050 63484\n44035 57053\n2146 8366\n8551 23207\n76058 99292\n32050 42998\n40590 45038\n37756 91893\n23660 92317\n51689 87759\n7254 66295\n35381 56823\n6576 16591\n28820 60575\n61663 97471\n10791 40665\n45792 53681\n68472 78857\n25489 97218\n65612 85801\n4410 26452\n23875 47649\n21196 42983\n42401 60379\n15070 38971\n36408 42268\n56511 81034\n46807 95994\n8393 63247\n27657 51232\n21962 23049\n32575 51976\n9558 67693\n4012 36324\n57719 73616\n26026 48004\n20568 70212\n19691 34293\n37413 95159\n58490 72021\n44364 82045\n43307 45521\n16113 64897\n30845 60585\n28043 46842\n3653 15880\n31242 96892\n50315 81368\n68307 71608\n63856 69891\n26079 32464\n64548 84084\n58986 95910\n76517 94904\n52167 64342\n32878 42043\n13406 86250\n11811 65685\n17500 64470\n14350 47519\n39950 76944\n6932 10099\n61081 98343\n21944 30124\n58507 65968\n9073 99169\n10785 53914\n66460 93303\n21841 25187\n52996 77283\n63939 86508\n45853 49715\n30706 60585\n50022 86759\n75247 78332\n12448 66638\n51740 72025\n21301 81095\n33403 36403\n46568 95450\n49019 68135\n14290 84857\n59320 78750\n3809 88682\n41581 74572\n51151 58520\n12426 28510\n8376 82577\n11891 88810\n26105 82574\n47462 72988\n11309 35646\n66202 86228\n18035 24462\n6712 83189\n44939 98819\n50276 90352\n10062 51576\n46652 81760\n84284 93052\n51242 71374\n38399 72256\n652 85125\n33074 94580\n9068 66203\n14384 49746\n21292 57980\n72173 76312\n17272 74019\n76025 77950\n9732 54238\n32467 73186\n34596 90264\n78388 98217\n8581 47688\n17252 56989\n3552 18764\n4930 80493\n8238 90956\n20261 84443\n16974 47786\n36761 38698\n5647 26878\n26238 57738\n22709 36314\n77038 90589\n80029 81627\n13966 47800\n57594 65788\n52854 70509\n35399 78225\n4022 65376\n23778 59554\n9630 23562\n43059 79238\n63897 69324\n42140 92533\n20456 26537\n809 65562\n988 81960\n34988 68113\n17196 83120\n74629 83196\n64586 65371\n27573 81153\n44440 72668\n51432 64907\n50468 53840\n32736 61102\n93983 97328\n35657 74488\n39749 86603\n26708 98094\n58666 73098\n5575 40286\n27733 64562\n61594 91844\n39881 90493\n41225 75473\n23695 96004\n28327 61246\n58835 80467\n81983 99705\n60966 80503\n56249 90663\n5600 64653\n69801 79838\n49346 90977\n36614 53348\n8517 17912\n18061 47703\n16577 54183\n27797 63890\n18839 67965\n4220 86609\n18835 51227\n52390 78563\n11066 71449\n46727 65435\n43331 95564\n30909 40253\n16481 19082\n2282 49454\n34219 55830\n64100 67396\n13878 45984\n48996 58087\n36534 62143\n37880 57443\n10162 62092\n27983 47694\n33356 46635\n93621 96574\n41745 74174\n53474 56715\n29592 83411\n38124 58659\n683 91605\n52909 88330\n77329 98284\n35018 55563\n2639 62031\n25279 25345\n48666 55094\n47300 95608\n6000 94165\n627 83360\n1481 81912\n47862 75337\n45012 46765\n21216 93287\n5483 88844\n67265 87483\n270 51032\n48738 66790\n81820 90889\n12308 97331\n4074 50282\n5573 66262\n17038 30113\n81075 88954\n34987 81859\n4791 38192\n34980 95739\n40790 54007\n5094 91577\n34477 45075\n46729 51839\n24199 53560\n40702 80340\n53557 97208\n10168 35892\n43491 79036\n30317 56523\n28628 51507\n18651 62380\n60274 80052\n17050 87814\n19893 95947\n31870 94451\n35237 52808\n44857 68685\n12935 97271\n71312 79466\n84779 93916\n25021 42537\n26249 54765\n22754 89489\n15621 82512\n795 84465\n36343 89497\n48973 73892\n33896 88868\n76307 94979\n52614 98072\n9342 92492\n57618 65354\n16973 56999\n51762 97024\n862 75690\n61200 80094\n26116 68111\n182 22915\n34927 95957\n74546 81960\n2714 34258\n88780 94767\n51122 62558\n8054 27106\n18263 73498\n4274 49745\n27293 35943\n17474 79834\n51229 87132\n14423 17068\n13566 73347\n23892 97460\n3892 33713\n55809 93261\n19153 50102\n4333 41425\n5857 94842\n44589 54491\n52989 91403\n13191 20030\n32719 64590\n26537 40228\n2039 37742\n46170 90303\n19651 95218\n51393 84098\n53698 79756\n7833 55654\n94885 97669\n20555 38649\n41011 43973\n33227 34694\n18687 54792\n19017 64085\n49556 67551\n12256 21816\n10270 78813\n24638 89573\n29818 82364\n36897 66363\n10084 76552\n58193 80188\n15702 97052\n4332 44491\n8508 55754\n11110 57909\n37229 84662\n46370 47546\n13009 41798\n22529 77606\n21685 65439\n35409 92711\n15669 18049\n31006 83146\n3014 17147\n55312 62507\n33074 98869\n38191 50857\n15292 73633\n42447 61326\n4609 39084\n7639 46014\n51453 74406\n2608 14004\n6793 27862\n15849 27829\n49985 77962\n84533 99766\n78958 94991\n62494 63824\n4971 86948\n9943 25824\n850 84331\n601 42538\n88653 99978\n88294 98500\n54063 70677\n58905 79823\n9930 88998\n70371 80044\n73300 94266\n85951 98559\n6451 77673\n12669 46345\n7865 88775\n18049 34237\n8352 71060\n49901 96547\n71597 93909\n83953 87080\n56106 70527\n1350 28694\n71154 93091\n26744 93636\n43319 88994\n49546 71396\n8901 78325\n39067 56246\n25552 59709\n12560 66322\n53878 62183\n16029 46802\n13118 66436\n67416 88053\n28356 53142\n5847 83028\n20332 34037\n8649 20208\n44463 56070\n76136 91951\n32531 37766\n14724 17248\n43685 81160\n19678 46121\n13975 39674\n71848 99673\n91173 93571\n49639 98390\n54313 72855\n36131 54307\n41314 65779\n45554 51970\n51500 64232\n52254 85619\n41211 82406\n67259 77400\n5630 80940\n15514 99105\n17797 24485\n46405 78882\n69858 73209\n55298 87644\n39771 44462\n6256 94197\n25436 56853\n37281 43824\n7209 44307\n26300 65291\n21755 92322\n57113 63992\n21349 79099\n18381 53833\n63443 89618\n82546 91205\n15044 68472\n8542 36789\n70425 92136\n1628 7000\n19053 98293\n84204 90248\n57848 89226\n43948 90828\n22469 37668\n22421 67852\n26479 33409\n20399 39585\n21722 75818\n31128 34355\n26700 34633\n65459 78310\n56106 85080\n7547 87628\n24983 60472\n21045 95564\n33071 75770\n54250 69950\n7091 92380\n3581 84219\n4856 87437\n38396 95623\n66434 72796\n7445 65015\n12007 83162\n91712 97580\n60392 96858\n5868 7663\n79465 83251\n49717 58426\n35866 78433\n77386 99317\n2132 45403\n34378 40496\n49742 60212\n1121 87076\n52210 76643\n28962 62163\n15332 92312\n47586 62226\n61943 99752\n62927 89087\n6928 45278\n45769 57267\n42182 43405\n58159 78827\n19223 22553\n2728 66398\n68982 79365\n31434 82881\n34261 45723\n33414 92366\n19066 99359\n63679 89986\n19417 76113\n19334 42208\n542 40202\n41907 98577\n11533 52873\n54671 76919\n19765 21466\n34350 55511\n1639 59148\n17785 37511\n27712 53973\n151 5981\n61396 90348\n57631 67312\n25992 37901\n42493 67026\n46973 53873\n11556 66110\n34337 96047\n7822 8577\n67769 79554\n68730 77379\n24888 35161\n51433 74785\n68072 94418\n57428 68801\n68348 86222\n24947 39508\n69714 81465\n42612 86128\n85943 89306\n5130 46165\n82371 95871\n73064 84822\n65119 66734\n11936 43215\n56810 81701\n2343 19446\n25200 26355\n8162 19387\n43829 72488\n13531 95572\n50819 70811\n6812 92046\n2386 69291\n7339 80632\n25577 96014\n49016 51854\n29319 86608\n50453 85304\n63813 96479\n4689 37397\n30765 53140\n49801 64749\n24693 98095\n3310 8014\n26755 32107\n23373 44505\n64990 69101\n70716 89182\n33794 77708\n14793 37375\n16410 17412\n8428 19805\n74809 85380\n43634 44689\n59682 73705\n27892 62918\n21773 33589\n24152 40871\n4235 79903\n46204 88806\n58286 74472\n2721 97079\n17371 58430\n3692 42818\n11808 92276\n59532 97488\n15417 88230\n13756 71298\n69251 99279\n12243 18514\n75369 88749\n4269 28946\n57659 66456\n232 82588\n73751 80109\n19795 23871\n20925 29142\n14871 36838\n43295 94031\n18734 90843\n48491 84692\n59797 91035\n40991 62859\n51650 94077\n6343 84019\n39376 81305\n8801 75079\n49119 89229\n7009 56690\n44009 82749\n33463 86443\n14018 33558\n66671 91759\n6711 65802\n55772 93330\n30960 96198\n51883 56330\n41166 72669\n51510 66973\n58801 80979\n34075 60263\n36636 96263\n14228 40973\n18569 85782\n40775 82936\n58183 92088\n43407 53819\n26102 46678\n10586 62735\n76195 85468\n24040 71286\n31586 82835\n13086 55389\n46869 88674\n1514 58903\n13754 28082\n88964 96869\n47639 97304\n46153 96100\n39083 89368\n6044 98993\n34275 43106\n28190 66206\n34382 37413\n48528 85183\n48435 77075\n44171 97869\n50251 54013\n34544 54621\n40813 79341\n35457 69786\n31011 41956\n27769 98466\n4662 56232\n7514 89770\n23375 45451\n7167 35149\n7997 56716\n43916 61649\n37619 45958\n14051 36290\n62823 92413\n49215 88859\n19895 84580\n24931 32924\n70643 81862\n16305 39117\n29015 91213\n54383 54560\n38474 46656\n75733 86047\n5663 67661\n15516 33006\n56999 94984\n47989 56458\n1407 75039\n33859 46965\n37303 44680\n44762 57964\n12937 73483\n7756 29623\n2535 65627\n55804 59639\n37426 67422\n26463 79303\n17327 26846\n33833 62298\n15033 52521\n14394 82209\n44122 79574\n60059 80960\n9018 25818\n35571 51429\n41177 74162\n2690 3327\n18321 60513\n3526 89439\n37305 56345\n39950 52268\n7457 62753\n15201 71618\n5690 44756\n27777 41188\n11169 85313\n16623 55172\n7680 48309\n71640 98114\n44763 51846\n29376 39372\n13702 65563\n63363 89752\n6057 18210\n64801 76821\n18907 46281\n57356 72724\n86125 88579\n85207 90367\n34636 60111\n7493 52640\n83732 86866\n47696 70388\n73246 84377\n34239 78586\n9228 55828\n34228 51300\n807 86312\n12571 32570\n90776 95291\n23955 35159\n3994 35769\n8012 28887\n77874 91916\n10504 56796\n8541 42566\n39980 84905\n31320 79128\n6489 88040\n53251 91764\n86 43364\n21489 83554\n68409 90334\n13647 49667\n28694 37542\n35366 89071\n69899 76153\n7062 22673\n7180 82521\n49397 67561\n45190 98685\n39475 44889\n13256 20704\n84929 93638\n40139 85673\n20465 97349\n78226 90758\n76907 85005\n11982 95886\n37740 65482\n53795 96346\n19227 58712\n43434 99321\n19719 70294\n47567 84442\n53426 63534\n3634 78692\n19447 86571\n18823 62457\n3439 66197\n58058 76458\n5624 43151\n22017 89641\n28673 43477\n39467 64862\n58458 75229\n18622 55812\n15306 59655\n51397 65777\n40145 69543\n11374 58791\n43998 64489\n32998 66431\n10450 74871\n65569 98657\n36186 36876\n4273 6692\n25524 83783\n15237 90548\n27951 94083\n37410 99783\n23189 53178\n73467 78753\n7602 26039\n54366 68450\n33386 36247\n9737 25948\n70791 74634\n2816 98601\n95706 96443\n7471 73401\n10663 53263\n33550 66802\n62381 65095\n39306 75097\n3469 40354\n39919 76224\n42360 91087\n13398 45967\n31871 91681\n37954 73376\n85661 89124\n8822 34416\n53080 97229\n12221 23493\n47151 89654\n74981 79075\n84271 91590\n9972 52655\n7560 56185\n90819 95638\n32127 88774\n85221 98446\n41860 60213\n11517 53220\n15482 21618\n84659 99002\n41913 69753\n56368 97803\n5171 47229\n14570 75626\n12829 37390\n18241 77515\n21553 58409\n85392 85919\n76352 89235\n14299 83910\n30633 32949\n84090 91303\n55874 86679\n46687 55379\n52046 63748\n81889 85854\n28793 36472\n28260 36768\n83503 87200\n66930 93104\n23936 84870\n75089 85919\n639 73478\n26013 37992\n15099 59616\n7358 99413\n74943 78169\n30725 92331\n44523 81110\n11093 61681\n41883 47857\n1115 87957\n41392 87323\n39322 55758\n25395 58641\n74780 92135\n64453 76688\n45317 87628\n49314 64361\n45781 65956\n53203 83499\n32119 59403\n70428 95184\n61328 73304\n2269 58245\n12754 63130\n69699 78921\n34067 51165\n62633 62873\n31540 57684\n8935 90662\n49791 93326\n55164 77490\n14660 69169\n16330 25824\n64676 69214\n35702 45231\n14078 94887\n56506 63185\n30996 40321\n57256 73921\n35377 53552\n81199 97208\n5298 54591\n10036 63611\n25674 71244\n357 67012\n34683 61331\n39180 59834\n21296 29730\n9309 28216\n60678 79867\n31903 60845\n52626 54844\n19685 42247\n23590 42151\n9605 51081\n75663 84047\n61667 63727\n56445 76800\n17106 54450\n23914 86739\n29494 82171\n27839 28235\n3894 60966\n63519 93307\n70623 93456\n61091 99414\n12807 32925\n27877 49360\n51702 55138\n28379 58467\n81193 90108\n23296 53229\n25006 95057\n25588 44408\n46042 80675\n45095 74205\n29831 57645\n16487 57712\n34548 98742\n53737 87901\n16297 93999\n27697 82467\n38141 45852\n73955 95130\n29383 78123\n24213 72254\n21355 68582\n41623 44524\n55514 76838\n41226 45453\n16769 90433\n51107 97609\n3312 37364\n48650 75815\n54097 92873\n62466 90158\n11260 55686\n21971 58543\n6870 48395\n62312 95615\n37433 97750\n66664 77586\n52509 73354\n73929 84392\n27098 97372\n59170 97677\n16189 58956\n51665 84302\n13589 61272\n73927 78061\n26030 87436\n52237 59869\n3989 43343\n8777 67116\n16113 24617\n23189 42734\n69833 70181\n61222 82590\n18804 29491\n47802 49468\n435 23178\n5436 60173\n936 33780\n10318 42119\n44130 84708\n41426 92555\n97000 97981\n29143 37685\n71072 87929\n15645 77892\n98284 99130\n72132 87352\n29447 85236\n79587 91153\n29782 76457\n29885 63791\n21137 92356\n71422 79979\n17558 50630\n83795 95035\n20535 54297\n61451 90133\n21478 40081\n90646 97680\n6084 37516\n30403 37735\n63964 67968\n14208 15233\n62558 68854\n68898 72371\n55474 89821\n18697 43709\n11298 17047\n15997 82074\n10406 77508\n72816 85619\n9988 55146\n14489 75483\n26336 76981\n23919 47600\n39790 74176\n35048 48216\n25957 95092\n40383 70347\n1903 12662\n35229 57098\n48617 67587\n30852 54340\n16710 32230\n8264 95891\n19515 63061\n14836 85524\n3521 77985\n35991 37766\n37519 47081\n68929 78177\n42063 99401\n58161 67554\n26425 41997\n52890 84356\n30239 39336\n32036 41358\n10484 29099\n49378 81157\n7561 73831\n66244 74256\n20855 23729\n34315 76046\n43360 58406\n84615 98909\n25645 81580\n14254 21893\n66095 68020\n17021 19106\n52672 63282\n40905 80859\n16234 34570\n79663 83967\n54565 68665\n15319 30003\n8846 11549\n74403 90175\n22455 80501\n56196 81098\n49750 56738\n97394 99533\n1015 47481\n2644 91611\n2059 92821\n18248 89444\n14820 66118\n11492 29510\n45873 56838\n39583 55198\n1033 79322\n62608 87352\n41534 80162\n42186 93197\n18462 82537\n74818 84826\n304 80486\n89797 95138\n32162 89324\n23788 67945\n29929 51599\n27053 46788\n56089 97690\n4737 16972\n2362 98704\n4770 58468\n8845 57752\n19787 26548\n14685 87790\n29891 53967\n16731 82889\n89387 94257\n37131 95981\n32615 48917\n13509 87751\n52857 84229\n34555 63218\n23318 87869\n21731 72396\n28817 84584\n51872 93511\n23649 70827\n45597 79221\n2524 21568\n49519 92790\n8812 10612\n52354 67956\n37353 91015\n44417 67871\n6311 63394\n37587 50616\n3402 69565\n58063 77155\n82636 88058\n22340 52663\n21798 34367\n40541 79976\n76494 81967\n17307 28239\n86684 90318\n9690 56245\n2912 99212\n60159 94996\n36415 68614\n8912 31310\n12110 26454\n31243 45703\n24150 74098\n52304 59847\n20168 83111\n59172 77588\n49396 98260\n78398 97764\n8279 93854\n6112 39111\n69538 82502\n76417 91231\n2260 24264\n54231 82473\n67822 92501\n49523 90989\n48481 72609\n22749 51526\n68162 79083\n12920 69579\n21197 57149\n58571 69425\n12905 83000\n6240 54069\n70336 77069\n75380 90455\n81983 92486\n57814 96124\n16848 79893\n14310 57687\n55470 92164\n42858 43997\n17914 77233\n16592 72027\n3915 95738\n29630 93058\n72554 84207\n49476 89975\n29812 90258\n10650 82634\n2010 87464\n79681 91628\n9345 76017\n24916 53840\n38396 47504\n16385 84293\n34978 91909\n57754 73747\n2403 16065\n12349 52522\n4176 83564\n21347 76906\n47450 66078\n54770 93484\n12104 99573\n11990 99669\n58149 76359\n38208 46155\n53652 77030\n13127 33493\n61283 98107\n60411 88575\n9039 49071\n70099 90662\n872 69426\n19713 41391\n44326 51898\n10801 31084\n11963 65458\n12950 56819\n1106 38522\n12048 76715\n46991 94923\n7914 74867\n99470 99762\n12560 99729\n12670 14610\n34855 58650\n7344 49508\n19281 98661\n64189 67268\n6156 62969\n14819 77091\n5004 34258\n18938 86293\n31638 73290\n9160 35886\n73504 92967\n67560 79373\n15732 54707\n20880 98415\n3248 93843\n34861 85942\n13068 86885\n7261 88150\n11543 14363\n5961 72723\n42048 80770\n31300 95062\n45826 82019\n48051 72586\n18583 26933\n34823 82396\n21854 76699\n26566 97109\n95919 99747\n6083 62217\n33689 64969\n7607 53773\n8713 41495\n53688 98243\n96516 98492\n17726 94168\n70293 70740\n43 48002\n47995 76103\n86994 97976\n10751 18714\n55767 99804\n42265 70196\n4707 71499\n15261 51914\n35260 71724\n69378 91914\n35044 60114\n56494 73048\n54935 68379\n49374 60009\n23979 85351\n1278 66297\n39371 98353\n39462 68032\n12523 46164\n22606 97512\n14857 53996\n14402 26780\n20833 75504\n9393 82771\n14542 95758\n32877 43855\n62951 94223\n31106 98742\n18288 88897\n35197 41509\n5658 88990\n29662 54127\n28086 67542\n23533 70109\n76486 90293\n51761 69350\n54994 70457\n13330 96455\n39783 82869\n20062 36383\n52139 94348\n36906 71318\n29557 62818\n15458 86512\n26835 57084\n15475 43151\n43010 62112\n18103 81156\n11201 18396\n68913 69184\n38660 95437\n41486 88896\n70545 83755\n47048 53032\n1247 65171\n8162 55682\n22778 81457\n10723 93801\n79379 82186\n12522 72561\n58933 99924\n77739 81972\n25419 62617\n9975 35108\n59344 66444\n16357 90068\n44177 83833\n8863 48910\n27361 47533\n35739 70907\n31248 42434\n247 75720\n68976 92466\n23260 68150\n15216 27386\n43594 50728\n816 58285\n46425 59938\n38674 50686\n41371 68273\n9926 94157\n60813 68174\n5415 64973\n47241 94160\n5437 12434\n53979 82146\n85104 98968\n33996 82109\n53813 65102\n10227 22379\n76290 77682\n36684 62759\n24101 68756\n52268 99653\n34122 94968\n6194 74632\n75801 91861\n47724 66516\n790 76594\n36823 72762\n20496 34739\n2514 94477\n42004 90452\n4320 94568\n13379 53958\n10365 88259\n53056 98246\n29399 80181\n77439 89136\n85428 85605\n26452 30531\n184 88646\n18894 96293\n88759 93178\n38634 90715\n54006 90684\n19087 30193\n53865 98334\n11627 98517\n55747 72707\n58057 64977\n39468 77088\n68784 96123\n70473 86264\n35082 56127\n65467 78109\n23104 58507\n800 31006\n5649 48554\n56733 73703\n67768 98318\n59827 92986\n25742 86708\n31525 40533\n15455 35504\n59230 68043\n71119 71854\n16145 76098\n69773 79001\n62556 77759\n42804 66965\n26879 90278\n52593 87471\n746 84321\n877 51317\n50830 85177\n40533 61288\n15151 81619\n75015 97799\n15247 60244\n90861 94260\n48155 81107\n9582 58180\n10945 74161\n31421 36397\n71692 77789\n10900 74003\n34836 60924\n62386 65841\n21297 45160\n6833 11933\n1748 79134\n51704 91369\n36114 83114\n41444 52124\n39353 97993\n60956 69186\n45804 95770\n91696 99780\n2270 44521\n28205 36657\n33278 33733\n72562 85760\n44630 65039\n35443 89998\n19652 29445\n37295 40262\n32255 68963\n42672 86236\n79496 81704\n15871 43627\n34117 70983\n71306 85862\n42920 64034\n24189 71860\n41618 57637\n47953 80709\n738 77652\n48369 65044\n10362 50199\n33407 47958\n46576 68989\n7470 50995\n65573 71587\n18860 98056\n9696 42123\n28838 83801\n10987 89237\n40746 54575\n21100 82624\n6045 63251\n56779 79794\n4043 38885\n73377 77349\n8693 76934\n64318 76895\n28351 92263\n9158 42295\n4022 53782\n1753 28223\n24450 42364\n28453 67205\n1151 8618\n4690 95293\n18656 26268\n75241 82858\n6454 85015\n7042 41853\n68898 92208\n13710 28753\n32289 72773\n23635 94322\n11650 92015\n8026 49889\n21634 70239\n39962 46246\n81851 99486\n33808 67121\n9006 17102\n60447 95534\n35559 53996\n83559 97072\n51868 62879\n46366 97899\n54155 60212\n14988 45416\n46004 92478\n42588 90124\n45733 91848\n55443 95477\n21401 87542\n26584 64312\n25897 26673\n10788 99403\n243 22537\n48119 88452\n3581 55165\n41011 68443\n19567 49159\n87585 93709\n10843 68295\n35051 45917\n51462 68153\n42775 45217\n1735 39668\n92630 94272\n86447 97514\n17552 34389\n77934 82104\n778 75520\n39654 98893\n2348 33908\n14061 40684\n10463 85180\n90321 90925\n56590 96859\n54679 64016\n74828 78536\n30281 50618\n6015 13775\n8410 64223\n705 55930\n28458 42300\n69223 88004\n31217 54779\n55472 72454\n40322 79560\n35851 88365\n32260 90328\n22768 93360\n30135 34097\n57223 75869\n29187 70423\n11804 45008\n44772 71805\n26420 85817\n42221 84914\n15711 99617\n29162 81386\n8588 21364\n74853 81346\n76388 87067\n68838 93050\n40287 78718\n70576 79720\n15313 79782\n8463 59220\n23055 81035\n26313 57499\n80134 98933\n69484 90232\n28756 86559\n14048 16934\n28364 52577\n17495 75032\n25007 51954\n10323 61600\n9446 88408\n61254 68827\n59707 93956\n517 77155\n33846 54948\n13812 56146\n35923 49688\n15737 23459\n45689 60881\n80458 87726\n23082 50527\n19821 40405\n16063 76483\n83804 98999\n52232 81614\n24211 85765\n23254 30612\n30012 37914\n23286 65865\n48721 97857\n19113 64252\n46926 78743\n30282 83531\n19850 99977\n56628 81375\n7450 11460\n69206 86461\n73692 84183\n38917 89771\n28161 32616\n96236 96811\n30071 41358\n20730 92952\n45504 52463\n6601 26492\n14573 26660\n14963 88551\n73048 94977\n6273 61827\n2843 54399\n24492 98621\n22069 71719\n23128 56574\n30462 87946\n32031 64124\n26620 78955\n88028 94615\n4757 26213\n8860 73633\n9647 78496\n25658 98342\n68899 89102\n18043 25690\n82964 88479\n4402 64013\n20151 95835\n5961 35898\n4805 80992\n45722 94230\n32990 85856\n49399 86911\n80592 88821\n50079 89255\n14074 22051\n7306 41008\n41458 68505\n35368 52147\n58623 71966\n26714 33797\n11343 92332\n22833 81052\n49640 66847\n54454 66342\n31934 58700\n48026 66941\n3709 96946\n16022 94933\n40794 50925\n19815 57383\n26790 73985\n49504 75537\n26489 88693\n81568 91121\n26245 64255\n55204 62687\n63857 86523\n63844 72872\n17361 34593\n2658 76250\n23076 91573\n5504 38704\n7901 13872\n35433 86877\n41710 97768\n55059 92827\n53094 62384\n4723 80589\n12423 84956\n16491 28376\n83664 86165\n33579 95517\n17499 63260\n1795 24095\n5104 75250\n78278 89486\n34189 42922\n4657 42667\n77142 93925\n8893 74461\n71076 80092\n26214 62691\n16010 61121\n13828 69495\n7105 62837\n53776 96495\n39136 76532\n39555 64150\n50878 73719\n17140 76025\n59955 62034\n24959 75891\n40801 79294\n990 65501\n14036 33679\n47531 92517\n20387 64541\n74590 94343\n8862 32361\n25035 41287\n12502 53168\n17153 83727\n44255 83392\n2688 8780\n46189 82896\n3576 9264\n72207 80997\n18217 44411\n41417 72906\n52780 74027\n40691 96760\n98710 99891\n56136 60523\n21134 40907\n3265 57791\n59348 64161\n65350 86128\n34628 77585\n15295 30511\n24395 56808\n30201 32560\n10720 71211\n19558 56880\n9567 26267\n36951 59766\n493 76256\n8559 11039\n20059 69410\n31915 61872\n23103 79963\n20226 48001\n42074 76556\n32287 83006\n42051 75741\n13297 85182\n351 95679\n13565 44557\n69367 71093\n17057 25355\n16610 41129\n413 48763\n11268 74127\n12796 47595\n5151 85876\n13719 17809\n69130 78394\n73268 73477\n29395 94290\n24667 83394\n73773 77955\n66481 79957\n69756 93479\n13135 50018\n43993 45116\n30964 89970\n37565 40807\n31060 64554\n15903 81485\n82411 86768\n31870 77623\n48229 95714\n33240 65465\n35329 53662\n19614 29765\n6412 71763\n17404 92265\n36138 97579\n19889 42868\n75958 81223\n35285 83669\n44957 90276\n7160 52112\n36206 45232\n38494 51038\n36249 78409\n27410 69736\n42710 89360\n42764 96377\n18070 39741\n10653 68167\n8241 39139\n82714 99210\n35563 36946\n13464 46979\n17520 22072\n44085 44539\n37688 50128\n38081 52952\n58755 82449\n51253 56238\n51631 99211\n52509 94724\n21443 44722\n9093 87239\n58053 78506\n13271 48677\n60949 98331\n65805 95482\n57073 93928\n52019 89321\n3987 15820\n38688 85304\n25294 87230\n62335 99787\n9556 57443\n10741 51559\n20716 75078\n8324 98511\n48332 91437\n14171 92018\n53177 93538\n47415 51023\n19709 33813\n40795 74123\n37375 58528\n81055 99898\n56522 64302\n10980 75745\n46155 99164\n48757 72132\n8889 30205\n48976 59275\n36966 57084\n20772 97015\n7718 33516\n30154 77468\n39664 92289\n24125 60944\n3009 84125\n5804 92811\n16595 58986\n36144 59156\n43686 57250\n12681 85026\n40733 98981\n46612 90518\n46599 94776\n7979 33700\n26500 34183\n28073 47493\n10673 45973\n18565 98241\n21202 45643\n15056 17156\n71156 95558\n22219 49796\n14984 37609\n47440 48553\n54167 74001\n42086 84375\n17792 18233\n333 53900\n39229 87674\n17227 34437\n24361 69192\n21295 50802\n42130 54010\n7410 48742\n16909 22632\n9054 93431\n11094 32526\n61411 87267\n82507 99738\n376 28382\n11423 71211\n74990 94047\n36469 69643\n28602 92276\n2020 65097\n63144 76719\n15164 49639\n6551 7850\n25917 62725\n6251 60876\n17634 93396\n8768 11992\n53413 87749\n43275 75005\n22126 81662\n78076 92358\n5065 39783\n13712 92739\n67746 89933\n19716 75566\n80579 93312\n94744 95252\n3481 44277\n51650 55926\n4736 53385\n45612 98304\n57446 58239\n52823 78993\n42260 83359\n12480 14767\n12648 31924\n24423 70197\n386 40661\n18964 71387\n40702 84598\n83823 88117\n5771 88147\n14894 44317\n81943 94281\n11682 18088\n8097 49357\n39012 89240\n85678 97591\n64483 73323\n27586 92334\n1624 42200\n16618 41056\n4877 67954\n1748 14196\n18590 78405\n18674 49969\n38520 85246\n63618 65686\n6132 22290\n22154 28674\n28328 48911\n37323 54169\n625 57087\n25182 95897\n62536 83180\n1178 89072\n36736 92579\n94574 96758\n49710 61862\n32088 74510\n45656 74946\n16926 99131\n11150 14029\n5587 20522\n24817 54509\n41242 99716\n34399 55044\n53687 55640\n9492 36791\n27142 38924\n12458 75081\n50702 81759\n92073 94841\n68299 93898\n12600 39504\n88264 91574\n70601 91545\n2755 38942\n16378 71529\n14725 62031\n34617 86910\n7185 73327\n84313 86573\n37454 37944\n75358 81695\n4946 10859\n25145 84677\n19210 80380\n32378 79601\n50278 74662\n41728 54803\n52440 65093\n22672 76671\n3475 30196\n19316 71510\n47663 61806\n27065 67046\n93050 97271\n5373 32722\n3438 35250\n10056 49958\n49809 54091\n25580 84613\n53072 94473\n56233 84947\n364 88762\n40350 70381\n26768 63828\n60481 61181\n46026 88083\n4683 62636\n74570 81568\n24610 41695\n348 85456\n37950 53354\n60242 85249\n2172 3318\n34097 92531\n15122 83213\n12472 67531\n36645 54143\n26444 34584\n75883 75922\n68864 87726\n8369 46800\n67086 67750\n8775 60790\n22006 31311\n67129 84070\n32180 85114\n20534 32668\n70827 95759\n93668 95735\n6788 43902\n8502 76872\n6889 38461\n24203 65716\n7170 97579\n20819 55689\n11378 77877\n63727 98383\n34631 46373\n79496 93698\n16486 48681\n38888 49660\n34093 66012\n47552 55166\n7909 54148\n55044 81589\n15499 32779\n32360 33351\n17536 66666\n19301 85167\n37021 69478\n18911 78727\n7772 39637\n42689 42746\n15669 46484\n5838 53584\n3467 14036\n5055 16384\n29976 63894\n514 69660\n84541 89486\n65855 83101\n27754 40610\n54254 54819\n52485 60041\n2080 94581\n40666 84410\n98348 99396\n47800 72620\n9736 88669\n53901 58303\n23825 86746\n34694 39726\n18752 40836\n10064 44498\n69490 88462\n31377 67848\n47783 88354\n59117 88695\n17075 59331\n29810 82635\n15438 26952\n59220 70311\n252 91276\n31711 52761\n34279 99913\n591 67876\n23914 46874\n55215 86405\n5184 91461\n17501 19544\n26571 86885\n56505 93624\n4342 59201\n49276 54927\n4497 86606\n3625 43039\n42081 44336\n3972 30282\n60038 70700\n22001 43141\n58762 91247\n81478 91091\n34505 99435\n4545 78420\n13480 82513\n3270 88963\n54028 73625\n15330 92279\n67488 83298\n38419 43539\n10991 98541\n78803 95414\n5287 68690\n88194 92168\n12341 17204\n63010 87741\n13249 44485\n64532 84991\n43563 60593\n6465 98356\n3161 93403\n11509 97083\n1657 22251\n4568 55932\n38086 85519\n27271 48183\n48184 51295\n14862 76556\n1796 98933\n35814 86510\n10640 38462\n11644 83636\n15234 67333\n12591 83899\n325 29502\n21068 69926\n39448 55833\n1141 20601\n27885 99648\n22550 73118\n5959 59118\n6050 64551\n76307 87373\n24857 90926\n19444 44677\n4783 74089\n16138 28940\n7410 11810\n77672 80112\n20907 26947\n9011 29738\n51441 83871\n63586 87236\n55944 68208\n24403 63338\n11306 29101\n79562 80397\n45197 96887\n20719 73864\n61074 80710\n20160 68145\n36525 79486\n6974 64771\n2551 31660\n28207 95187\n8733 18096\n8177 21825\n460 89537\n91429 95400\n42722 79296\n40651 90160\n38200 64818\n28403 82750\n41931 98005\n49963 69002\n48214 64365\n30252 62012\n70088 76567\n57058 57454\n639 88592\n30005 95144\n5174 54271\n8476 72396\n62941 73125\n35590 98348\n75424 82800\n34103 60939\n31586 74097\n255 34313\n10074 60068\n6493 68214\n58572 77067\n13009 82491\n21173 74880\n15455 39641\n35709 40804\n30846 63225\n43531 83395\n6931 81167\n16205 59580\n84829 96758\n3360 27101\n18636 86105\n9323 22562\n11981 73231\n15883 46492\n21194 49783\n97992 99015\n4037 5026\n53970 70234\n90809 94959\n72166 74800\n8533 79168\n40446 63434\n18975 23925\n25808 68768\n36113 90377\n37118 69098\n17353 25606\n23651 59220\n29397 39591\n34938 92128\n77460 86297\n4557 8543\n19175 21742\n30428 73809\n63865 89266\n15016 79345\n24724 84952\n28103 48804\n5531 13160\n17485 75045\n44440 80293\n79470 93926\n5536 81990\n39971 72739\n514 86077\n6644 65391\n12335 93983\n16644 79632\n60149 75226\n42676 77177\n3823 65050\n49830 96579\n5374 89255\n13684 14119\n10563 70080\n60485 84368\n63368 64371\n24962 93391\n10823 76196\n6540 91597\n10896 43034\n55918 96738\n56897 66654\n5832 15208\n153 30897\n52696 82696\n33084 55756\n22633 74827\n6029 32029\n36038 36039\n31623 35861\n18898 71090\n57867 87741\n5391 89438\n11218 41904\n69169 93873\n14404 78154\n10775 34589\n29526 69080\n56728 63819\n36836 69375\n70705 76108\n5339 31983\n34485 68656\n34636 94879\n25732 26224\n7892 8063\n39166 93080\n3564 34274\n10203 57915\n1252 47724\n9937 30067\n2203 82743\n59365 87189\n971 86959\n26049 80907\n14313 21750\n70253 93041\n41148 54180\n25577 50947\n30088 97845\n32820 53163\n20601 71100\n83232 98703\n52237 79750\n10857 52538\n3096 99479\n57401 77828\n52975 72978\n76738 93875\n47649 94640\n47725 63540\n73849 74323\n56134 73983\n39353 87736\n19352 98091\n43345 66185\n77142 95837\n76566 95273\n30437 73318\n41530 44660\n50102 99402\n41729 59073\n73241 93433\n6015 15079\n533 62872\n85995 93501\n12953 53863\n3792 83369\n18973 32091\n77052 93564\n8403 93943\n17447 30433\n51649 93539\n2374 33459\n836 93170\n23645 95114\n21439 48593\n5742 7498\n5493 71927\n49420 94639\n84218 85940\n2745 33470\n18281 91401\n27581 51889\n37580 47866\n64332 71068\n14521 85202\n15594 86654\n19133 56503\n43212 70123\n25353 67667\n20238 38041\n49378 77803\n49189 71634\n3671 86662\n56193 63943\n30199 92235\n23866 90270\n44528 69859\n1572 53705\n44392 61449\n63176 99108\n18965 32553\n53784 95648\n16678 75397\n21552 99379\n11851 46040\n32860 79600\n3061 44826\n2841 50121\n3133 10987\n49411 80484\n2959 55518\n18972 67250\n75846 77813\n37832 87750\n82253 89642\n18748 37505\n2870 26890\n10921 48778\n23786 60547\n64177 87849\n34023 58006\n36060 82831\n84182 86429\n71095 86348\n2015 31643\n55520 83127\n7423 46261\n16225 72634\n17669 24379\n3422 18551\n66538 82335\n25430 42481\n72285 83422\n53004 55039\n1500 59324\n29326 57320\n38966 56327\n54056 59909\n3254 42710\n76047 80597\n47207 92742\n5011 7285\n808 86077\n968 15708\n48981 62652\n38181 76112\n23156 76681\n11265 35708\n81378 87034\n20243 61266\n13124 39046\n7638 16955\n21086 87623\n49513 78025\n43651 87769\n17419 74412\n30877 71665\n19107 86091\n64061 96146\n9866 56609\n61862 79490\n38170 43453\n45227 90042\n18034 75045\n4363 14551\n61807 79755\n20354 98261\n84336 96634\n30662 70611\n52550 81944\n58574 75224\n11666 44760\n32261 64464\n34493 36639\n30095 44561\n7780 10069\n49163 85538\n27703 54448\n66046 83846\n43610 51137\n10955 60887\n6288 11069\n5062 87063\n29973 70884\n38408 51636\n40941 67224\n26767 76505\n23948 83358\n18294 79111\n78051 83747\n6190 91452\n22509 80986\n180 72535\n45233 89956\n15459 48492\n29636 98811\n14936 84667\n59374 99191\n48857 59453\n40397 94819\n61749 92952\n27950 75960\n37402 88991\n39675 68644\n19226 25405\n59564 99946\n79019 99814\n2179 66726\n2376 98054\n23814 40944\n2209 60161\n57535 75644\n31543 39165\n10463 44341\n24004 47285\n58413 97105\n24696 43083\n11428 30764\n38443 80673\n39783 65592\n7527 76129\n23691 30043\n64338 74191\n87223 93644\n68650 92948\n71817 91797\n19046 86715\n38884 61376\n22726 29892\n55836 98386\n18071 44341\n15758 43395\n2801 65700\n29 36335\n30358 30684\n12292 40508\n40474 55074\n65834 82818\n30268 78278\n84445 90547\n27450 40051\n18397 55376\n10587 54347\n33093 42967\n45237 50215\n26847 57714\n47735 84849\n44243 52723\n24040 46613\n11081 34048\n28630 62073\n4091 84217\n8246 78063\n69941 90874\n75409 82900\n11233 81391\n33174 81527\n45066 80810\n39682 91599\n58205 72526\n2145 80257\n49218 71854\n22084 22921\n2867 80368\n9849 44429\n70110 87951\n67106 68755\n38666 92653\n22865 46243\n33765 52445\n18192 18583\n56691 82459\n42133 63349\n32049 74976\n35985 55803\n3613 17676\n8848 82806\n20567 60507\n70253 90009\n53305 97658\n52020 69284\n45227 71852\n47665 85709\n69563 84786\n73259 78899\n3562 18374\n27393 34231\n46702 96006\n993 96789\n17518 97151\n38823 65366\n48154 73797\n13141 97567\n42475 86372\n33399 96802\n39684 46470\n7565 54426\n75272 99663\n57664 58164\n2593 39372\n52826 84787\n7254 62393\n62083 80125\n12424 65584\n42843 64197\n65189 68020\n24887 51354\n3250 23209\n9252 94545\n35018 48134\n25218 38724\n33315 56048\n40213 48562\n37219 47803\n599 84881\n24819 38986\n14564 69659\n6105 37116\n19257 92824\n86032 99070\n12362 74408\n81459 94522\n251 83438\n8330 49915\n30851 34453\n35192 65398\n16144 23217\n43034 69851\n18919 66726\n2834 86265\n21804 75289\n33094 38195\n55785 85272\n42971 77921\n19659 24409\n51608 72888\n45635 69459\n29475 76131\n9728 33423\n30387 74539\n81975 94365\n11629 31786\n28186 95182\n29020 62896\n30362 79953\n20153 87114\n36148 48264\n42080 72119\n206 24577\n72163 96761\n56435 91676\n6567 9561\n34942 79842\n4899 37311\n61160 87355\n23693 87781\n29170 60643\n49632 59040\n23519 46788\n32460 51637\n900 37546\n57473 66774\n34 4990\n4023 71555\n38721 68798\n12519 17413\n66325 87814\n22415 46300\n4375 8328\n79599 99023\n28320 79650\n77689 90545\n50317 85131\n27925 79843\n44167 74661\n4770 9752\n8220 49704\n48776 90708\n66406 95765\n44882 94980\n1764 54270\n12857 86522\n15170 38257\n28940 71520\n52697 85783\n15246 21915\n46047 49386\n8208 13357\n62033 64106\n4699 51895\n15247 31443\n58899 77350\n32753 61329\n16806 48969\n23660 36661\n3996 11365\n17543 88997\n3225 50202\n6985 10569\n70759 74399\n35927 36258\n42799 45025\n52205 86601\n17189 92331\n5153 36973\n18260 50167\n55738 84405\n18923 34242\n36171 90664\n63205 75806\n29705 89658\n4373 81399\n18046 94680\n10931 53947\n36117 77431\n4745 67445\n81287 94881\n32153 33084\n46283 68759\n5322 44855\n6061 31010\n29489 31611\n34584 64268\n84810 92238\n33640 92444\n71150 73345\n48592 61131\n37276 79069\n69120 75683\n60462 82378\n29237 76477\n6843 88332\n14191 28533\n39204 78690\n68952 89421\n3412 57532\n25187 92483\n56783 62566\n57098 68151\n56268 66449\n50636 86907\n93611 99749\n24593 54239\n34259 99486\n3993 18753\n10478 74502\n1746 54645\n7103 67041\n11416 27033\n39018 50469\n6778 40893\n80794 91481\n12524 90570\n47983 49099\n16359 81315\n99472 99950\n7713 72128\n15046 95269\n4029 69613\n2951 94349\n59419 95392\n58916 84000\n69105 71812\n43466 76385\n22810 80944\n37087 71838\n69641 80009\n66782 97568\n23660 95189\n54114 73090\n10996 60170\n1865 7020\n14606 44697\n46634 58477\n82560 97116\n45703 55201\n2917 65037\n31631 52162\n38829 98587\n9993 93538\n24126 52173\n61489 93237\n27897 49117\n3313 77519\n13845 56712\n35334 36089\n41325 81089\n39951 72397\n40421 65206\n25535 51437\n16933 37131\n8701 19608\n57189 60686\n72873 75273\n61624 81685\n30811 85989\n13857 14176\n4923 32547\n13599 92956\n60282 74826\n28161 62720\n15008 72577\n34174 39799\n31527 37858\n22520 72175\n11739 77196\n91272 94912\n4027 97265\n22603 32779\n48199 89008\n56113 73884\n74943 88523\n26254 85813\n15375 99266\n2031 62809\n5237 62776\n49018 94195\n41506 80926\n6696 50310\n958 41717\n59438 80845\n23747 49464\n51341 68373\n63877 71571\n28360 44005\n8549 31946\n4921 73224\n37411 45598\n82777 89036\n17482 90855\n11866 53855\n38239 53660\n6951 97945\n40169 73980\n83553 89797\n89748 95683\n44028 73632\n13955 97815\n41847 49651\n16012 76576\n88539 96194\n67185 67937\n64929 70699\n26347 31399\n22913 48107\n8640 59670\n20417 33456\n90353 93496\n34176 98691\n4715 35727\n9472 71680\n15527 16262\n34831 40913\n1885 4628\n11935 51908\n30763 51452\n39948 47884\n43328 78041\n45723 76585\n27494 71800\n45474 75784\n44495 48542\n33892 49701\n27426 33594\n5159 54662\n19687 20042\n4583 19396\n16940 50644\n14212 65002\n57770 65673\n6728 16186\n4267 37360\n83239 93803\n15905 60760\n9891 57296\n22660 97940\n26232 46828\n42806 51981\n24526 78222\n47957 97781\n11506 25026\n11035 93981\n37544 99235\n38923 92515\n58915 76834\n10565 22210\n11581 28593\n58338 76511\n12795 81569\n57329 94800\n24103 68809\n59933 65882\n24913 56660\n13552 79236\n37600 85773\n40669 77788\n48436 48523\n10360 77019\n41784 82339\n16056 89771\n13698 33009\n2331 54089\n31867 59204\n11767 43016\n14253 73320\n53454 62658\n76 2049\n22713 46530\n16873 22302\n43418 91712\n57113 98938\n21828 85463\n75185 85009\n39515 57706\n70760 80703\n83472 96716\n29264 67726\n9755 68680\n29013 50578\n63037 69271\n31363 92977\n70011 73310\n83241 98556\n19743 35214\n21868 62251\n38541 74941\n63220 99513\n15190 54838\n75866 80299\n22061 95962\n271 23561\n77159 93167\n73235 81215\n37879 65344\n21716 21826\n48384 56167\n9271 89501\n66363 67886\n12517 75552\n60545 97902\n44344 87049\n881 95872\n34118 56496\n54236 92718\n6593 74508\n64033 69758\n28677 74600\n83438 95469\n4474 41794\n2873 10536\n25707 68724\n64925 69737\n37433 87760\n31330 31517\n46903 55787\n59836 94988\n26254 53793\n39791 52753\n69146 69772\n44900 60250\n54927 67518\n19197 56350\n664 76083\n41614 98992\n38405 90715\n42490 44329\n32205 86580\n1794 89961\n3939 69032\n19111 41325\n72887 88010\n46810 49646\n75532 90422\n18452 33748\n4544 38611\n4163 12669\n42866 66210\n7786 75432\n49279 86736\n3903 81071\n19553 25418\n42473 59853\n13273 73157\n37043 93657\n5559 7792\n59037 82138\n68610 85821\n20089 30303\n46719 80697\n5914 61434\n22690 67862\n54916 69502\n16825 63435\n17768 50792\n91481 94134\n26350 58862\n25083 56951\n35071 36221\n18622 28788\n25940 40705\n3155 52187\n19846 21340\n29566 36911\n16146 37622\n53036 77557\n60442 77655\n40390 87097\n3012 20311\n68798 90645\n48428 96721\n74092 76089\n94 68871\n4058 32883\n67143 98331\n40771 57943\n26593 73913\n22781 92237\n31074 82205\n26873 29641\n17362 34513\n52301 95905\n3128 12465\n12319 34883\n25304 77864\n51620 92547\n13988 72954\n12464 32628\n39703 78477\n13671 43072\n74264 88500\n5049 55683\n73715 77995\n11755 67531\n8150 85944\n41882 96112\n6696 94420\n38909 41172\n15584 30632\n24370 75886\n23636 41319\n6388 96224\n2497 42828\n51707 64660\n23775 25452\n5037 18753\n11226 73237\n52392 92568\n67302 72483\n12683 47390\n19324 66327\n14492 31265\n32076 89345\n47651 51394\n32840 37594\n45213 83012\n49372 56313\n22899 43467\n76640 95064\n53136 82876\n53736 55165\n34325 41365\n5817 25557\n69114 75918\n78305 90258\n44439 82615\n17662 91379\n26725 89346\n63208 99695\n23673 91018\n567 2738\n36725 53913\n25992 78355\n4320 75128\n45911 59004\n56501 84874\n70165 92406\n13162 74494\n3249 47677\n64006 89287\n32299 90314\n33395 85761\n80615 92135\n52783 66101\n57660 86647\n33363 64842\n38976 61955\n9653 66792\n5544 29431\n49474 81126\n29299 81690\n67406 95535\n13086 65034\n57517 67473\n8846 18270\n45983 78066\n44116 83067\n49781 52982\n15838 79096\n48732 91983\n45322 92366\n51189 93494\n1720 4007\n20606 81950\n23152 59210\n80366 81368\n21410 49856\n38369 47327\n1839 7836\n56493 57074\n7426 30070\n15129 97162\n27220 37046\n61105 85404\n17966 79423\n1920 37062\n65132 71655\n37169 94137\n25265 82401\n60095 92587\n83485 87929\n15287 33678\n13929 52877\n46062 69935\n63460 69121\n19597 85464\n64162 99426\n4713 31964\n42387 69156\n63179 86425\n68497 79291\n78634 81026\n12956 20305\n26008 58716\n65368 85012\n36876 74893\n22231 67743\n13839 64385\n50706 71583\n7661 20266\n88516 96555\n22999 43928\n55040 97320\n63715 64889\n12338 28610\n38048 63052\n30 11221\n30995 66433\n67153 97642\n50188 77223\n70351 96797\n4842 10406\n20558 86556\n8076 10417\n33143 39258\n9583 41934\n39425 77714\n497 96129\n16979 84115\n10671 57761\n55785 84585\n6480 45223\n22957 72540\n27165 39516\n11724 83470\n50689 87106\n24780 44517\n15051 44346\n28425 96376\n27812 58193\n35840 36614\n46871 49524\n40589 60427\n10551 98290\n67739 89361\n30729 66554\n19787 82042\n11425 16068\n38971 78031\n52303 91046\n22394 23349\n17374 27093\n951 63281\n40611 80410\n68238 80300\n61609 73709\n24152 83512\n40988 70848\n43131 99585\n2562 38973\n37607 93262\n15035 23792\n58078 92101\n33982 93876\n49189 63147\n51444 96093\n11692 77688\n45097 82132\n14306 50515\n25694 90570\n44328 63569\n57732 86552\n14084 87563\n43085 92546\n26226 27446\n5517 86080\n28904 98740\n34237 51654\n27370 88720\n80922 88397\n27460 56343\n2496 94339\n49019 72119\n57802 60165\n15551 31450\n32738 84131\n30093 39720\n29827 97178\n10162 81819\n5964 57509\n18313 19586\n1899 28359\n13403 70646\n4021 20401\n30802 83869\n68195 80094\n10087 68680\n32031 58519\n9044 33156\n18137 90075\n14219 78908\n22552 24415\n18409 74152\n16670 71027\n59162 84525\n31045 33457\n53718 56282\n23613 32621\n8557 81534\n47389 78663\n57459 78088\n30695 97607\n26665 44300\n15159 22741\n34588 88071\n39378 62672\n14383 21078\n26564 69426\n10623 80017\n22418 61177\n12772 23836\n17009 43320\n18131 86406\n71091 93850\n51595 75802\n47017 77650\n12976 75547\n32362 71994\n41237 43882\n29068 63013\n58443 86576\n75486 85844\n38544 52809\n32308 98963\n65207 66360\n48914 64638\n21051 79985\n28985 68122\n11617 23811\n51107 75624\n28659 36123\n31666 94639\n8860 62497\n29503 97714\n17852 20734\n17317 93313\n33304 76591\n3583 39318\n5019 89480\n58425 60879\n28748 65741\n36676 43842\n27428 39678\n11885 22634\n365 9380\n55175 64568\n47614 89969\n6324 36768\n14121 60901\n54153 78839\n27587 94778\n20393 46829\n26650 60841\n12274 79271\n21956 44941\n38746 84550\n12235 69318\n28018 56308\n22083 48623\n47323 61538\n10540 72410\n54520 60856\n92525 95656\n38797 45992\n69583 91810\n24986 34600\n33253 61455\n29172 94075\n15619 59921\n3332 24766\n10220 47792\n26440 66248\n51776 82977\n19524 23715\n24866 91424\n18281 56833\n16927 41157\n31337 64162\n50256 51845\n6725 75064\n593 10858\n45618 66252\n43924 77894\n31842 55528\n43597 95917\n55467 89337\n47640 99722\n76085 77470\n29584 58797\n9229 52568\n63453 88496\n15381 25158\n78146 84744\n43126 79610\n30701 62967\n44859 51061\n5967 65758\n58290 94797\n20485 98539\n73336 75772\n91283 95472\n15832 95810\n42677 56225\n12733 53553\n48175 71401\n4735 76333\n16718 40891\n25984 87033\n38853 69446\n55518 84418\n48120 69421\n71792 82044\n63114 97094\n4819 33257\n43520 53700\n10765 73011\n16771 94690\n1232 67760\n31205 45546\n11558 58245\n12237 49293\n9227 41816\n55960 68074\n38976 97297\n5134 67160\n8121 96257\n8530 54622\n37760 66013\n49442 88003\n23458 70111\n39357 77140\n6637 84413\n48924 75905\n8250 86727\n43868 97225\n33095 36636\n15341 30857\n3533 18943\n56877 69994\n15871 89330\n23726 83920\n30781 58126\n59054 69306\n48494 61820\n93500 94633\n52739 87694\n9944 61475\n18470 66056\n19633 59631\n24958 45418\n33139 49206\n27022 59284\n21147 55019\n34892 52257\n26076 69427\n95998 97744\n56367 81648\n31902 62890\n6385 39097\n36523 41705\n27952 68066\n38748 63904\n8536 77093\n59150 92594\n51199 73682\n11813 49079\n12075 28888\n52778 97272\n41183 58609\n75023 89871\n9883 29037\n2792 57083\n9276 71505\n20432 27724\n11802 70386\n448 8998\n41680 84296\n40420 92384\n1860 80567\n30523 61167\n3253 49777\n19386 20377\n63978 79147\n8836 31263\n3715 22821\n5125 56840\n39507 67277\n12435 61771\n12823 45514\n5868 68531\n22571 43517\n74724 75061\n44676 83320\n67144 77948\n48551 70270\n10719 83665\n55801 72979\n1867 24028\n7831 71272\n62315 71892\n49415 58259\n66350 79575\n31403 44005\n62245 82732\n49565 69107\n38908 46161\n3695 71207\n26182 29619\n10214 67322\n35491 54784\n64194 69925\n68167 91287\n21856 77244\n16392 25609\n16743 47998\n26100 59392\n1939 13538\n74944 91519\n50009 94169\n47703 91038\n60870 62485\n65772 69282\n28163 64709\n7879 7925\n24765 68521\n5313 35646\n25125 29357\n63048 93382\n4906 84492\n26943 69806\n36111 38629\n22566 54715\n8513 89324\n26422 80282\n34943 63638\n60220 70245\n25826 68581\n44837 52142\n47515 74934\n6820 19935\n40189 76683\n46086 80386\n88462 93129\n63679 72624\n54609 72127\n44929 54448\n5373 92713\n6913 26899\n2167 96864\n63094 63906\n30412 64877\n9066 86365\n868 38018\n3991 45156\n73607 87787\n60969 72090\n54482 99369\n38499 44436\n8581 86853\n14187 72764\n27020 68903\n38334 87720\n8995 33875\n18456 19355\n80339 91087\n22676 51369\n48453 81609\n57960 83573\n35274 85349\n60943 74110\n15039 90143\n57597 74602\n6780 71404\n12741 50103\n16023 77124\n5421 91362\n13650 62630\n47868 73395\n46422 87931\n23786 45223\n42429 86021\n28762 76331\n1757 10125\n62812 89013\n82507 86162\n91298 99633\n26101 93893\n31089 81331\n9851 95341\n43061 68496\n3568 29516\n42382 70664\n5606 80957\n18840 72403\n39568 73182\n56861 79847\n28635 41360\n42730 92388\n61408 82776\n37270 74217\n55583 57698\n56773 62687\n60051 77246\n92176 94835\n61781 95420\n24093 78644\n4507 63786\n14716 97301\n8566 28677\n74778 97886\n44657 56699\n23625 25364\n71382 71950\n928 30651\n37199 74600\n65293 82555\n43162 99709\n6400 31923\n4618 79170\n68536 99899\n338 64876\n56902 80682\n92833 99911\n74393 98521\n75893 99523\n26957 56168\n22405 84609\n94511 95128\n27567 98976\n1749 53061\n16520 25929\n64301 73214\n65730 65894\n7708 54090\n61458 93323\n62159 87171\n48463 64511\n53269 72295\n33038 79924\n21409 45653\n51637 56220\n36864 51539\n31540 87273\n12169 44466\n76263 78945\n13239 60524\n26474 62841\n73390 75836\n8207 14934\n41758 45526\n76887 84602\n15212 85521\n82091 90323\n28642 86559\n16122 24935\n29247 81599\n49859 99500\n11908 59694\n7628 79847\n9626 38853\n56369 67996\n19864 43571\n8697 44046\n15512 58789\n69520 90805\n897 68658\n42216 82301\n808 90474\n3165 64099\n8537 34146\n59486 95396\n34747 79387\n43433 57616\n4643 82239\n52042 86087\n26457 69993\n1073 41825\n33388 86769\n48104 83244\n4802 23291\n44148 45102\n67650 84436\n75090 89051\n51181 70331\n6745 47935\n60888 98776\n54413 94950\n17438 89690\n19830 38450\n60184 82930\n43710 65837\n6619 47159\n67365 83404\n63071 87007\n89247 99141\n15682 80560\n2417 67336\n35137 83108\n77048 83341\n3903 80524\n26895 39755\n34840 59280\n35072 81701\n26657 75736\n22895 42887\n46263 62240\n10622 24980\n29547 37509\n17097 96063\n13195 33607\n30222 89140\n33823 68708\n21759 38777\n87648 94344\n17702 45476\n23759 76491\n26127 64521\n44495 86499\n36435 55728\n30845 57671\n59355 72613\n43605 82619\n79203 89632\n15717 55006\n30924 88671\n1246 29248\n43212 84704\n49154 68558\n82502 86454\n49399 77727\n36616 69225\n30226 63294\n12422 78404\n46973 56261\n6529 71696\n30523 39464\n27185 74644\n49830 73627\n27298 98180\n8066 57689\n20713 70436\n20217 23301\n33981 96822\n95725 96061\n29488 82432\n16424 61380\n62811 80670\n56154 94360\n82745 92621\n18465 81177\n902 41852\n34578 69700\n1909 99614\n74547 96206\n19116 68044\n62326 82474\n27947 40559\n11668 24757\n86745 92315\n45919 84336\n65487 84684\n61277 99715\n10706 92837\n64644 72277\n4430 85055\n23035 95326\n12789 92955\n11859 69622\n14835 23265\n9602 36174\n60437 88834\n14020 80658\n35443 56781\n6524 11812\n3878 79424\n13655 31192\n40888 80124\n16342 48722\n62072 92994\n61905 67906\n19683 52773\n26408 74574\n45534 96752\n50006 97304\n4466 75400\n14242 18137\n49596 58327\n31912 61521\n20216 73009\n47381 62839\n14376 69395\n20713 95949\n22946 66994\n52567 71271\n44928 46043\n58368 66329\n57674 81482\n10765 81159\n23188 95101\n2383 72197\n2435 86708\n21251 44703\n40552 78109\n36647 82176\n12927 24863\n11825 28357\n25794 29966\n27308 98166\n1007 88295\n56394 83811\n19941 37264\n37503 41634\n12252 77714\n18385 79011\n41725 94156\n65220 99036\n21478 28662\n7324 54906\n36063 86523\n56027 88007\n3764 37810\n41610 57084\n38320 94404\n4051 73946\n9610 45461\n21996 43131\n76627 91635\n20457 80194\n26098 49205\n81287 95502\n35148 40657\n45529 60575\n31997 69978\n26008 48885\n68614 72056\n49985 60442\n40967 97098\n4940 36376\n12593 44316\n26113 42458\n59324 80672\n28857 67799\n6409 36260\n38344 50109\n43790 46889\n7539 95403\n55783 73232\n83023 94209\n56587 87822\n42037 69974\n37040 37492\n89611 91977\n74727 74933\n34610 78342\n25873 56309\n52799 73268\n33001 64551\n40357 95212\n47373 92816\n44956 93939\n65487 82251\n15553 50914\n38978 51149\n50115 74208\n708 31916\n62583 89443\n18062 77962\n66675 87561\n33623 57730\n65532 84201\n68176 88959\n19766 52645\n28935 42185\n45620 85038\n23831 35576\n5020 13406\n52810 75056\n27753 28757\n6364 9813\n26585 59169\n26891 45701\n1001 72352\n19633 79153\n47638 66320\n14104 54297\n86173 90738\n15286 39487\n40681 49809\n21009 21652\n6248 95150\n2510 76322\n32502 46125\n26505 59209\n11364 90266\n74367 87323\n45530 84328\n56046 91697\n31192 71866\n8765 54143\n15325 35533\n29231 69720\n29063 87611\n44089 57792\n10970 11010\n20926 70755\n70816 83608\n33951 91209\n35354 76519\n15417 51600\n9203 12639\n11867 29840\n37288 81917\n19933 80928\n15742 96630\n39915 53006\n56234 72292\n24947 35972\n40386 58933\n1133 47980\n18344 26465\n290 48544\n50811 79684\n28964 96626\n51709 79509\n5483 94621\n28158 82913\n40947 74025\n90753 99456\n19354 27373\n25932 86899\n92514 94038\n67885 78206\n68371 93935\n26886 72271\n20762 50979\n12759 87687\n52435 89723\n26378 38871\n86346 92848\n20439 93121\n52608 81010\n15727 44699\n22898 82656\n4857 23530\n31072 52755\n27168 89227\n32302 80326\n4326 94591\n1736 39038\n58938 65030\n24727 58583\n46114 81487\n16363 61768\n44483 48543\n17799 30526\n21105 81526\n8688 85050\n56834 61167\n52947 95681\n10598 48040\n30926 50967\n11495 78564\n12554 32193\n16400 90795\n40196 63913\n83341 91290\n31317 95938\n64896 65293\n27786 98556\n90852 94423\n66631 69282\n46056 47821\n4981 68533\n30202 43950\n13227 27087\n2828 61299\n80453 91181\n47796 84166\n61151 90905\n35624 90805\n28525 61299\n12464 36824\n626 45167\n54809 58033\n42780 60220\n46792 66370\n13352 93812\n25406 98826\n50774 64351\n9711 97716\n3591 81914\n32132 81162\n4434 35927\n44705 53081\n54671 86145\n7739 80835\n71644 74177\n1629 87859\n70280 75260\n16606 60527\n13748 61045\n32893 98438\n3257 84820\n13722 43389\n2402 87762\n5011 98864\n34637 89495\n22665 79595\n23198 84328\n247 34513\n34719 84245\n25504 35315\n24240 28755\n45090 89396\n32396 74339\n23253 50261\n38877 97824\n12293 28522\n89497 91044\n40013 40707\n54903 67533\n17945 49001\n15879 98932\n5344 77490\n35716 41699\n71621 87366\n28303 49299\n14058 25649\n49360 92394\n66232 89041\n18407 39494\n25719 51730\n74522 92832\n56881 90093\n34273 40911\n32001 41887\n6982 87958\n32666 43170\n6257 29617\n68420 93839\n20614 22221\n24148 92675\n32874 69556\n9200 75415\n23719 82688\n38248 71928\n21236 91515\n56350 80516\n16003 67853\n17176 79205\n30493 56697\n41794 95897\n30954 71768\n11627 71529\n17612 70607\n90865 97895\n94559 96000\n4814 24272\n23165 64242\n40406 99635\n32708 75879\n34375 40169\n43081 54402\n91644 96747\n8669 75798\n43401 70530\n3916 48363\n56172 93730\n50005 62904\n34626 89616\n35708 81379\n38462 84124\n74727 77348\n12204 17796\n8432 86937\n2979 19948\n38246 47950\n2932 60120\n4590 63844\n27655 31802\n42579 60654\n14273 53897\n73329 77787\n35872 46685\n95515 98498\n47159 76146\n15416 75613\n13842 38630\n9132 25095\n15833 63913\n59687 93371\n33194 92628\n18881 95257\n12716 44544\n14566 97657\n87039 92694\n17520 90933\n21520 36612\n80018 85584\n29500 43471\n8909 8990\n63405 66616\n28171 78705\n59649 70248\n54371 65256\n20722 97314\n2445 97406\n16767 31594\n28813 73409\n82448 83912\n38400 97983\n45677 50324\n20331 66964\n49211 98313\n8572 90944\n69349 83667\n27869 31029\n18766 87494\n91179 92874\n17578 81278\n43085 49923\n68706 84405\n9372 53042\n32283 39831\n2770 60356\n663 48998\n14905 51362\n29488 94160\n37515 98551\n5744 40419\n22806 49610\n14596 64368\n5861 55272\n40319 94450\n27200 52777\n9516 32881\n28626 89589\n48735 62293\n34297 64842\n12280 38415\n91036 96266\n63401 80378\n27169 81139\n48980 96580\n6143 93946\n45550 92134\n16091 59303\n11547 50268\n34337 38488\n23808 61724\n33606 63246\n33030 82378\n57379 82015\n24875 56062\n5772 7673\n24691 60832\n37016 46692\n14711 23745\n63172 87812\n40908 77274\n6595 46058\n19589 64578\n39585 82538\n45619 63332\n12108 90612\n58101 81134\n49799 69733\n36217 56855\n2740 5607\n90701 98975\n25895 65484\n59358 75813\n58678 83732\n35706 46258\n24104 93662\n26007 86139\n9746 29862\n31493 74951\n5527 24141\n5212 38117\n29068 73356\n81952 91726\n54137 62745\n17832 41387\n73925 98454\n42948 70419\n63880 70760\n18706 34056\n30058 80697\n799 23203\n42541 87081\n24903 46047\n2160 62749\n45537 82082\n33899 93061\n22736 41847\n77133 80364\n43138 49863\n6706 57431\n25878 73497\n7536 29734\n30580 44132\n74412 95904\n23062 89996\n8948 65164\n2170 33382\n86060 93460\n47513 97483\n43818 92818\n89240 91945\n54410 99021\n59945 60977\n5371 88649\n54494 86279\n60485 88080\n3252 81523\n61676 98199\n45580 89417\n6665 85272\n25087 38627\n19677 84802\n34160 74456\n59391 59544\n22575 38903\n59678 71947\n68461 92429\n15350 74399\n32009 81010\n29811 53092\n60326 85944\n120 54437\n40016 86366\n29160 95512\n8311 94902\n25673 75384\n37770 39123\n47347 52770\n10677 40375\n49061 78373\n82443 94216\n12430 65979\n33448 70302\n33286 58189\n35501 69454\n1298 63567\n26999 61038\n17188 25235\n25712 80170\n26502 83748\n8667 21273\n34157 83214\n82245 91978\n12022 14085\n48297 57525\n64534 70908\n76958 78784\n35084 43015\n15868 43224\n91153 98376\n70797 89755\n7111 27497\n15587 51296\n48423 88272\n62450 70927\n12680 17016\n78888 99683\n35106 37357\n46776 77055\n2536 39457\n37274 59241\n37421 88469\n5074 21650\n4519 19119\n50694 79266\n23796 56062\n19247 68147\n8646 71294\n31292 37919\n20981 36444\n2482 44584\n58222 81177\n24714 86467\n79492 94982\n12308 38004\n11590 85856\n35466 37668\n26434 43719\n39626 56088\n28921 91509\n71099 82236\n32999 69860\n61450 72492\n31195 89108\n44340 80619\n15348 61359\n26788 40270\n75822 92835\n74932 79221\n73958 97518\n36076 72372\n13762 94629\n857 26685\n36203 88163\n42673 60145\n50056 56492\n79029 88514\n54709 98768\n33673 56122\n78045 94795\n22209 80264\n22585 97329\n74887 80394\n36517 83709\n40000 94806\n77529 80775\n3994 23631\n22724 77511\n10724 25827\n27849 45716\n28698 58373\n1411 90421\n32130 43732\n27235 99529\n27774 65565\n19771 56195\n36402 75290\n70425 83056\n17229 21954\n19093 96652\n31353 68166\n37159 58120\n13374 51634\n12978 75488\n38093 99580\n51344 59996\n69450 77026\n39034 85144\n33756 59189\n28588 42869\n2895 75796\n34202 57055\n5342 80308\n36528 83658\n47754 79943\n8653 97918\n2963 57318\n30335 41709\n19398 69496\n67608 81495\n75746 80025\n3391 36713\n85232 96139\n7690 99246\n122 28816\n15093 62627\n27495 39631\n79657 83981\n47764 88758\n61734 89588\n6413 86303\n14677 86563\n43879 80552\n39562 67213\n24338 96921\n29655 48321\n39365 71228\n62061 96011\n7571 93825\n38911 72816\n12117 73776\n4149 40397\n27050 61932\n26401 68928\n41139 49378\n60797 69024\n20365 51035\n36835 48572\n2440 39478\n64380 85950\n23059 80009\n28867 60708\n5726 9527\n45172 47401\n3183 40887\n43746 84732\n38795 88820\n479 88940\n41740 64798\n34535 70608\n50561 81448\n28989 78850\n36053 62139\n305 10605\n33215 37483\n41082 65942\n23889 83076\n7655 88628\n34501 91049\n14274 22896\n57111 63692\n8789 33241\n6904 26835\n90661 93146\n8964 50191\n8400 77332\n21903 80587\n21209 45344\n55261 72659\n86912 95797\n45649 53023\n70281 70388\n13407 14868\n42485 47076\n11617 63457\n37105 57371\n17499 61840\n35520 41929\n61103 74649\n27607 80845\n13928 77206\n34221 78566\n6735 50053\n5660 98947\n15255 17818\n51286 76006\n56379 61574\n5320 39712\n17940 37791\n8939 62768\n13994 95888\n67159 72944\n28427 98379\n69839 94991\n5018 66945\n49143 86773\n2438 74251\n54181 88415\n27968 88167\n15800 60472\n58624 84077\n27155 61654\n32187 82062\n16812 95898\n12934 53157\n19667 66347\n33879 97487\n45844 51773\n30374 98722\n18190 33877\n14547 77712\n27723 39243\n31336 86781\n2576 22091\n7697 31981\n31855 89282\n38663 97837\n75792 83858\n74908 89086\n2112 91836\n43614 51087\n34050 58093\n1096 44806\n89963 99347\n66440 86662\n8087 39934\n11372 53055\n12605 75560\n21280 39208\n12132 62754\n113 40462\n8014 39298\n6678 32263\n7544 56293\n23207 35654\n26816 95254\n36504 47204\n66822 77980\n46107 52915\n34861 61458\n4445 43112\n39372 95012\n38026 98039\n14014 94084\n49859 89614\n6160 13819\n79915 86235\n90012 94481\n29905 89293\n62875 92002\n84959 93500\n53161 96430\n14370 44483\n62198 97480\n34212 52361\n13479 32818\n45293 61118\n31439 76935\n28111 94082\n1257 22895\n62542 74818\n31718 47786\n2336 90542\n30058 52080\n9537 26949\n65641 70090\n24994 69687\n12210 20633\n30207 49081\n11496 57162\n8926 67125\n25585 80047\n3357 70663\n12372 38641\n71030 96693\n44890 66709\n40599 85426\n15573 39339\n3296 93999\n46167 64776\n22823 69623\n25046 28656\n8410 8668\n48930 99443\n5903 38612\n14430 48780\n93390 96248\n23011 25052\n37243 81011\n22818 31890\n29934 82123\n16749 37602\n27256 29891\n41307 87459\n40540 44662\n14891 72648\n4199 75323\n56889 65431\n54028 94460\n21565 45834\n21823 80837\n66625 76093\n24943 45363\n17037 96308\n1407 71402\n12605 20601\n35874 47380\n35278 64975\n18903 24142\n27468 51067\n41347 84071\n68359 76171\n10119 68603\n6985 79839\n5624 75390\n13678 35509\n41744 91450\n56318 88883\n61831 78989\n22556 30246\n13333 61652\n65667 89926\n98 7843\n6285 51518\n64970 69011\n14532 54256\n24271 80160\n53799 83098\n17941 52817\n63653 84255\n29824 81733\n14381 93192\n60781 82908\n62092 92563\n10957 78662\n24824 69888\n31847 71862\n10019 71350\n2152 28653\n8312 15191\n48156 58464\n35201 35521\n38325 50257\n10106 18578\n51381 60885\n9796 43779\n4855 56382\n60736 74618\n387 93607\n91427 93740\n1793 91910\n29101 82601\n28358 63612\n88048 96574\n56286 99063\n9558 38974\n55608 73966\n15230 54113\n5459 60478\n20536 77214\n57007 79214\n46742 98954\n460 10314\n37874 63355\n44618 78750\n51124 55837\n43934 91184\n30629 43070\n12021 55308\n50541 52520\n12409 67548\n50281 53762\n4942 74790\n12957 26341\n24249 73335\n22569 38165\n778 29584\n30022 53870\n3863 48202\n24604 39005\n26487 56411\n68566 92586\n60365 97286\n3797 78924\n40166 91475\n21311 59086\n91840 93605\n36756 99717\n55921 61068\n1687 97546\n16432 78281\n5141 70962\n45018 48459\n32722 87077\n34291 73176\n31032 76780\n7783 51057\n6545 38038\n45553 69842\n68912 94321\n8090 27497\n38322 87287\n10670 92272\n38524 64801\n6213 40556\n19521 80898\n33227 72214\n88874 89935\n43546 84137\n13165 15533\n42593 90312\n26444 27432\n23379 46617\n28340 47374\n44046 87573\n35682 59506\n6881 44442\n44649 54789\n54124 61418\n6578 25303\n17251 77296\n5514 63395\n865 99576\n19875 66482\n15269 57448\n72650 99473\n22106 88352\n11578 81311\n58587 77046\n8686 56663\n20782 36189\n774 15829\n39307 77731\n40514 42166\n54415 99009\n44242 79450\n55193 68155\n8721 83425\n60660 65483\n35084 71143\n50929 95182\n25028 71091\n73253 76647\n81160 82040\n60671 90639\n1354 68644\n21913 64921\n41594 47019\n77403 95851\n62538 95771\n1511 51999\n24869 36171\n52914 61365\n45499 90836\n38312 42399\n9801 41508\n62215 77178\n34671 50091\n11708 27690\n29292 53076\n14059 89085\n33010 84897\n11567 40464\n38475 68077\n42341 60898\n43519 73657\n56035 56420\n36926 61896\n2676 64801\n32047 98787\n29886 70286\n73078 83924\n78985 88170\n3050 72399\n63323 74746\n52827 71988\n36987 88130\n71240 99557\n36809 47888\n61729 69132\n44104 67181\n11289 98844\n5680 61589\n19308 39797\n12025 58449\n56612 89055\n39800 57068\n30922 44045\n81860 93433\n51900 81081\n73207 73744\n93849 98889\n32101 63338\n77998 88338\n79853 87539\n79261 99889\n9158 90292\n42684 84575\n79829 80496\n2821 57681\n70053 91820\n16333 96010\n59658 88435\n115 98448\n68468 96153\n12459 15055\n55928 65242\n19516 74972\n62438 69653\n32239 79099\n53123 85842\n8626 27847\n15291 76361\n83521 93135\n75548 88091\n79707 89274\n78855 81619\n3374 17439\n14748 26002\n12428 92615\n18243 52094\n77250 80770\n50708 76350\n67447 89845\n26191 52178\n12558 83418\n75507 94054\n11006 36233\n31217 50228\n38913 89151\n24148 94447\n39456 60758\n26165 65336\n57048 90183\n52668 94767\n4716 47660\n31752 94059\n34155 91007\n22005 75566\n49914 52620\n12223 64490\n2819 6429\n9238 54622\n85429 89233\n95553 98029\n65311 80736\n61191 96106\n25633 30841\n2868 3490\n20162 69124\n2897 68318\n33650 75374\n61174 74062\n53203 75477\n8865 72914\n25621 87056\n77134 85700\n18837 55889\n7046 50846\n71179 87682\n36468 38120\n24187 57589\n12478 15581\n6263 91381\n28141 41591\n19289 92419\n21112 97633\n19647 98481\n37867 57654\n79952 81393\n56668 99604\n50606 64362\n10790 91425\n2758 43241\n35366 63203\n5670 21434\n28604 77903\n53387 83542\n454 94372\n29440 71903\n973 94256\n12690 44288\n46606 97763\n4713 15468\n64805 72355\n24135 77323\n13121 63472\n38538 83060\n41707 50943\n19491 52728\n31632 89014\n76376 88902\n20085 95457\n44247 61279\n25867 41767\n3323 83961\n44761 57960\n59651 89874\n68883 86762\n43093 62211\n30761 73579\n32414 54788\n27103 41744\n43439 65101\n26464 53304\n32371 71127\n7894 61568\n12646 93880\n721 17265\n30780 41136\n32383 97056\n42355 98564\n74742 84045\n38470 67477\n4678 64248\n60961 69363\n3904 27331\n21065 23756\n26685 47323\n4641 59063\n18371 31698\n40066 50838\n56474 90583\n10625 35983\n5698 62925\n71866 84142\n38205 57514\n1693 13036\n6126 16166\n67341 82174\n40432 46801\n29020 73570\n3678 4933\n27789 47521\n58518 88031\n78549 99866\n581 36545\n61533 64141\n18783 36768\n29513 70434\n24362 50303\n25729 86432\n73170 83097\n90557 93911\n26078 60188\n79324 81306\n72338 93648\n33210 51941\n41224 52141\n1720 63744\n65210 73921\n19987 56269\n45405 60603\n47100 57830\n70395 75404\n22090 64626\n1981 26190\n13792 65108\n5209 65759\n7163 83264\n47327 56998\n21407 66890\n41326 74401\n23572 97369\n13341 62802\n18166 82691\n41415 67216\n5885 39163\n10050 41779\n38636 52687\n27438 91920\n24096 65702\n1198 37134\n35323 40989\n19038 96508\n18303 22698\n61809 80561\n29516 37768\n2737 62612\n22897 69483\n15482 25566\n31589 64678\n22060 93369\n40771 49846\n27421 71983\n20650 68230\n39717 51723\n91741 91851\n17570 58264\n17202 26149\n43142 98359\n54846 77364\n77246 96330\n16294 91657\n8792 51993\n34782 64725\n33979 43633\n11033 28405\n58395 93553\n45675 46433\n13011 30156\n49653 61907\n47449 79665\n7020 42925\n44104 87196\n20635 49802\n12434 33820\n42414 57613\n44412 84116\n38612 65030\n65543 98167\n2505 81347\n53877 74989\n47676 66441\n63788 74562\n8092 65025\n30040 36268\n27393 45758\n475 3081\n26621 87966\n28253 71219\n3523 70159\n17902 19913\n9063 34116\n11373 66745\n58633 74847\n30163 65997\n15868 16712\n88543 95035\n40684 67002\n37258 46493\n11299 23195\n57013 57179\n11810 88314\n60943 80094\n48844 53468\n6937 71754\n12557 58963\n27507 69228\n5645 38327\n47656 60061\n34155 53731\n36761 67716\n25488 80612\n34480 49538\n58590 77198\n21903 33772\n4861 82836\n14749 80895\n512 86489\n22991 36642\n10145 66298\n51600 89528\n15467 52120\n3573 48981\n13970 96571\n25807 30569\n12568 96437\n1818 91256\n39191 81320\n48872 54746\n60131 99406\n9109 98759\n90580 93834\n46520 55026\n798 97639\n46822 90415\n77517 89076\n52711 99667\n2298 88373\n49102 57915\n41194 43791\n13036 88752\n17828 70259\n36197 57878\n66128 66545\n46448 72379\n56191 79330\n29982 39980\n3745 7074\n28085 71280\n13000 99168\n46875 67581\n36939 89962\n39309 60801\n14365 35382\n25661 51070\n66616 88779\n30266 96124\n20460 37289\n29455 48052\n16270 80004\n12506 46530\n42835 81118\n2429 64752\n32498 49914\n34159 87243\n19253 22883\n26414 29720\n72300 86567\n66048 83591\n5733 58590\n10557 58536\n59094 94334\n66354 95541\n49691 63637\n5973 51719\n5175 88063\n20097 61024\n1428 19045\n21590 60671\n41465 49384\n34296 91266\n50570 87486\n41536 96270\n49305 58701\n27537 80990\n2336 73073\n988 60195\n61571 77598\n48044 51986\n25076 29957\n52390 66721\n5542 86909\n4647 73856\n28226 62666\n7017 61094\n87633 92307\n11874 95575\n36160 80704\n90975 98325\n42813 72657\n74141 85035\n19296 21440\n24276 39013\n2986 45194\n44472 75847\n30327 79198\n51361 55132\n68460 89816\n6096 16619\n23336 65904\n10810 99603\n85294 88084\n78166 97466\n4230 36674\n15659 76289\n31047 38670\n38612 75803\n20112 39602\n5951 6934\n7981 42035\n58095 82064\n37983 79560\n58549 62121\n35835 45158\n18752 50293\n31863 80196\n40062 96207\n39825 72099\n3631 72156\n71459 88678\n13483 34745\n7978 49298\n18199 44386\n29419 44401\n81561 81998\n60384 73139\n11974 76422\n23677 89511\n69114 98817\n39309 69733\n23391 55818\n35449 66927\n22187 48391\n88847 91261\n28581 73022\n21076 69946\n22402 92647\n23038 80416\n30040 31327\n55659 59277\n27432 68852\n82489 96384\n41357 58500\n27562 30999\n92417 95177\n16372 35925\n42757 90677\n32389 59231\n39005 80336\n41288 52219\n74403 96112\n27164 75131\n41850 77427\n13605 76387\n982 9791\n29039 65290\n17993 83624\n66175 69321\n33441 69846\n7729 81583\n16477 38325\n43182 77469\n590 82046\n22652 40074\n58249 94145\n4706 77943\n22023 60620\n10906 45195\n43734 71526\n1367 35927\n5992 52667\n18957 94335\n2919 11770\n58917 61525\n5948 18481\n68584 69246\n73528 73658\n31827 72212\n16087 75699\n16176 37899\n521 24920\n10525 52971\n19051 66000\n35363 70310\n31903 85932\n38989 85546\n47845 54339\n20214 97024\n93894 98846\n20585 81392\n16017 38025\n10793 73828\n27979 60622\n24720 41726\n2990 55564\n82793 93972\n6018 12789\n37838 78295\n27688 91106\n18847 47039\n58329 71531\n41920 54954\n4613 73144\n57022 93553\n67421 69128\n3056 75938\n57073 69596\n69684 85174\n85113 94922\n18221 34404\n34054 58356\n34398 86210\n3398 43893\n48267 79217\n45006 83268\n7371 20973\n21702 62315\n22886 88762\n74803 97643\n27999 79032\n18516 21969\n8298 26416\n10613 53653\n8507 34624\n25204 99791\n8268 34981\n27416 51527\n81328 95845\n67738 97323\n7239 8877\n3534 80368\n45357 89683\n16443 88415\n17623 75678\n39505 41118\n17242 87504\n41025 50993\n63159 89099\n27969 45965\n7044 86566\n53402 96492\n53941 61099\n34230 93714\n59234 84116\n91743 93336\n29504 87114\n18101 77024\n42118 90461\n58278 63515\n3214 35955\n27909 61260\n39940 96803\n14234 65052\n4045 34354\n56196 56749\n41041 97904\n29124 86069\n52683 63911\n59099 60442\n39369 67896\n18544 20486\n23922 44180\n779 38419\n25250 98994\n32379 88613\n33962 86189\n58417 62061\n165 50876\n40559 59127\n14168 78815\n26996 99141\n6000 7450\n42736 47545\n80618 86614\n8888 23718\n36038 37797\n17543 82959\n63671 79696\n34984 62562\n48359 80184\n14657 40764\n62903 90348\n28111 81831\n49456 83304\n10275 96252\n20415 79949\n58433 64910\n19595 23224\n222 55560\n28775 35998\n44458 90846\n60480 97603\n68783 90201\n27349 93325\n59638 64156\n31385 42316\n38900 53056\n58650 98275\n84690 95772\n5322 45664\n48883 65819\n12501 63816\n27117 63674\n9994 68144\n55852 94076\n3336 22816\n46010 79999\n51958 66140\n7474 98874\n19449 64719\n19281 96582\n19862 91413\n80543 98560\n43897 78841\n36695 51481\n35254 94152\n31607 94005\n80190 80295\n620 93088\n22729 59025\n37239 93514\n43548 90631\n10230 78151\n3904 30309\n55763 93196\n4101 18709\n12623 68526\n17599 47611\n21409 70975\n16221 43382\n23281 56920\n29273 49009\n44670 57979\n59801 79213\n6088 69344\n8546 10210\n32384 43418\n14638 71149\n39453 44350\n28792 45177\n45999 50987\n11172 87021\n66986 84314\n10089 48682\n22187 33387\n3842 66920\n30720 58600\n3082 47455\n29917 59836\n1110 3212\n39611 68115\n46931 69325\n85402 93305\n38430 45616\n12459 48477\n45785 96620\n15463 48913\n84 34897\n11762 53175\n22480 42261\n38102 59100\n11341 57789\n13478 55928\n2675 26100\n16376 69965\n29949 67606\n91422 91782\n50414 87182\n70517 75698\n74281 77570\n24380 42960\n49453 71301\n81616 82378\n42500 98957\n73925 84381\n35726 84073\n8333 40092\n24695 70891\n25064 83571\n12720 37448\n23789 92301\n15822 88645\n14572 25496\n78576 83430\n87626 90691\n40611 72648\n26148 45082\n9393 48195\n76444 93784\n47962 72037\n43640 99256\n53656 81409\n23967 73578\n9048 63856\n14512 27467\n57459 66012\n46311 88374\n38774 51974\n22016 32705\n52425 99491\n7142 71269\n2481 97445\n16810 82468\n628 35229\n71665 97079\n925 59742\n52087 89490\n13719 70065\n55696 90998\n3091 90595\n16143 27707\n46760 60634\n8884 37940\n26544 42627\n63208 86246\n2127 20913\n61936 90196\n50788 74465\n35977 78345\n22117 28563\n66067 78203\n25213 79827\n38729 67492\n41157 77494\n63671 78272\n93457 94487\n63613 78403\n52159 75597\n51054 79998\n38687 69816\n2333 85560\n18262 29914\n11695 92332\n78040 92009\n31200 51156\n1951 48006\n76944 77601\n19791 54172\n17064 98560\n19147 44272\n12660 87275\n14091 21981\n26694 99874\n16400 47498\n5147 24899\n48144 84375\n58754 92508\n15552 48586\n20151 79894\n18749 47290\n2232 79882\n7280 63073\n27525 73188\n7002 87727\n10883 77919\n31053 39900\n45792 60109\n26519 44437\n13186 42720\n24700 53579\n58419 95794\n34075 40498\n48559 69990\n1029 98008\n45654 90739\n69497 76295\n34824 85499\n63254 68524\n1660 5252\n7290 17701\n46396 74112\n66091 76517\n2290 71852\n33872 80038\n21448 46629\n14458 53470\n52668 57041\n13026 51887\n40627 63522\n60038 96865\n51282 58308\n32756 57349\n62484 89232\n50881 96935\n19996 99838\n31218 99616\n29945 67894\n31724 61762\n15301 15311\n32364 96554\n7513 87237\n1755 48503\n28337 48606\n35446 43444\n62 9310\n19878 26141\n77614 92141\n84935 93049\n21073 21864\n6608 76206\n34320 41624\n7201 33841\n13401 68909\n2809 72212\n55824 66696\n80716 97328\n59533 67431\n32349 80104\n56381 74035\n18653 81610\n69641 91336\n10721 18251\n54388 73813\n53312 53525\n24722 33484\n37532 99434\n11245 39665\n12218 34433\n37590 71982\n34296 35938\n3798 18036\n30664 59293\n17375 22862\n6743 19197\n30694 34715\n7067 9535\n15728 41937\n46101 71914\n25875 74396\n27846 30673\n8161 17728\n16927 89140\n10359 49132\n13098 15518\n56987 86873\n8571 56002\n3492 27911\n8516 79322\n782 13131\n48233 53028\n30011 60278\n26378 41327\n391 21431\n38891 68684\n18296 66683\n24270 85563\n46474 50750\n47302 60792\n23428 84265\n68484 80080\n8608 10642\n64611 69905\n3820 54600\n21575 57225\n72676 97588\n45096 50266\n15839 27354\n55679 88902\n23216 30842\n31363 72436\n70068 91815\n15803 68124\n1431 11481\n55886 60106\n38347 75507\n1819 42570\n28638 56689\n48727 67191\n37544 80755\n25365 53400\n18074 91899\n26639 47129\n3019 19869\n24305 79307\n70410 76289\n8912 94732\n19149 21474\n27264 57531\n44021 77326\n34246 85975\n21986 68856\n8131 16194\n17873 58084\n31731 95964\n16558 40480\n6565 97756\n67246 91149\n26185 65705\n8996 40136\n24164 97004\n4732 78123\n5976 47132\n9530 88651\n61824 99877\n1231 63448\n2036 6693\n7747 97954\n24185 95833\n37548 56082\n7859 55743\n4115 83133\n30521 81948\n35971 92234\n35501 47303\n8808 15188\n23652 34829\n84065 84726\n2882 71718\n18672 66852\n25311 72959\n6581 21097\n50349 65455\n54768 63467\n25581 60014\n36315 60358\n35532 94365\n42690 95216\n13021 41388\n52221 63402\n28190 77431\n17119 58419\n22936 40581\n28158 49704\n19317 82803\n3422 52929\n34998 61969\n32783 64439\n42874 99230\n10911 44616\n44084 70960\n69189 83303\n5670 32120\n6170 48154\n65652 82193\n5664 75842\n28643 83664\n48986 88417\n10376 15754\n18247 45789\n52441 74859\n45665 64654\n811 69610\n39577 60751\n33561 37792\n8158 11949\n32259 41905\n46237 72555\n55939 82061\n23832 61041\n43043 63704\n85739 87661\n7683 38799\n12555 92166\n81415 93174\n26768 66275\n66028 70112\n92590 93301\n21990 62133\n32487 97243\n46223 89898\n60370 72485\n11112 23318\n49863 97028\n7635 13933\n35623 55443\n18660 85907\n49684 84673\n18617 87288\n8450 35778\n32857 98363\n43843 44633\n4523 40733\n32774 66965\n5121 66332\n20577 51113\n65056 85652\n22644 65974\n42003 98427\n69309 99598\n8730 67811\n17699 26563\n12048 36908\n38030 95381\n30381 70070\n16344 49631\n28105 88211\n16240 16988\n9520 77700\n59573 63753\n3853 34330\n84997 85632\n13540 55284\n59236 74306\n11637 88180\n30028 95413\n67537 74018\n40052 72366\n22005 91158\n11852 74473\n32410 37520\n56405 92077\n24775 67946\n37444 66932\n9405 19348\n32630 56073\n8830 81180\n25338 75907\n28665 48419\n24046 25959\n9712 31363\n1441 87451\n23038 36807\n36474 49251\n45985 64314\n62691 99726\n32984 75501\n14965 16890\n28600 34726\n7345 57003\n62833 93119\n3472 89411\n16552 42024\n43730 54462\n65322 73427\n80445 86056\n19786 33137\n73603 90075\n20964 46859\n5594 43490\n3365 76560\n36865 82029\n37211 62303\n3006 87182\n27843 77371\n20607 87989\n76141 88167\n9119 35170\n21623 87360\n15839 62645\n46393 91310\n41325 49141\n82471 94793\n44027 65503\n4570 9598\n25697 44749\n56955 79380\n5294 11966\n44798 96213\n49191 50782\n6426 50663\n42246 77587\n75041 82987\n12569 31986\n48014 61143\n86382 92389\n78663 83714\n11303 96093\n44547 45382\n62960 63649\n44462 59948\n45434 98123\n36457 91097\n27887 97478\n32158 46765\n35614 70630\n79945 93340\n3083 77052\n14695 91065\n33673 98637\n22253 25549\n4336 11203\n53604 55720\n54507 97429\n14270 79598\n18715 23987\n25964 43019\n7111 67722\n46992 87651\n8248 74564\n66735 73712\n54464 97829\n53025 61236\n30326 42612\n67821 81339\n52818 68498\n16832 99929\n33342 75254\n2054 79421\n49305 80147\n31123 57012\n16415 17205\n19800 27819\n18793 26638\n58190 85273\n11011 60736\n40528 72589\n12578 20261\n6621 14494\n18810 86017\n19474 86176\n4256 96220\n1871 30505\n29873 95619\n38703 59368\n49564 91395\n53250 71890\n58740 68506\n51138 56918\n10286 60503\n24246 42085\n6674 15741\n30439 54077\n62907 78406\n63101 63430\n751 18157\n42033 43469\n16882 32771\n12713 13052\n63833 91527\n87861 90130\n83884 85117\n6982 84674\n17078 57484\n25535 72142\n42941 84837\n80743 84714\n22536 53378\n12774 54681\n64367 71714\n56205 71932\n11952 82520\n6093 99763\n74268 92425\n4316 97181\n2562 64406\n69035 87661\n34568 36798\n26915 57995\n29246 83790\n5447 8530\n56708 82384\n16753 46752\n56403 88973\n22874 42159\n27472 32539\n31863 90572\n48868 66757\n11371 91858\n57448 67987\n31 3711\n67398 84784\n90768 94564\n1811 54281\n64613 77242\n18451 72219\n12447 15642\n20766 86924\n10732 11564\n38174 75916\n65728 82089\n29094 58829\n5480 58603\n55245 55793\n19954 21645\n52810 98803\n43558 79210\n70740 84758\n32920 36890\n17610 19778\n17904 97919\n19244 27386\n81290 86988\n44439 76839\n7875 86162\n19867 61724\n46482 88181\n89522 92939\n1761 7840\n22337 26480\n68504 71840\n7083 29496\n56667 65443\n72061 86316\n3595 6446\n65110 74404\n14220 81978\n17013 29960\n70734 98715\n9487 51869\n38868 59422\n78668 91124\n11104 97091\n20821 93012\n12267 31653\n31400 62759\n12168 64964\n26452 94571\n30497 48698\n37664 75007\n63570 96133\n17398 56183\n18919 76029\n47859 58011\n35871 74758\n890 27148\n47538 63491\n54286 64306\n72873 92709\n26524 33438\n61983 66654\n57345 81527\n2873 7297\n67218 93328\n93082 96808\n32604 84954\n51595 57639\n44953 83992\n33833 96316\n41288 77326\n52770 53379\n13832 15762\n11153 34512\n27247 37173\n14253 63083\n14814 18807\n43821 56579\n71882 79713\n50958 73650\n88399 96478\n10399 49319\n23407 31713\n18162 59794\n78933 89635\n19391 26468\n18363 77738\n32303 86447\n76488 79058\n29992 54670\n8919 55905\n21055 69798\n20544 98117\n41716 83345\n9911 79396\n2814 60091\n41942 45244\n13080 63213\n54495 61205\n12312 96420\n17509 62755\n2394 76449\n15779 46498\n64796 87799\n12958 95914\n39887 93959\n1274 66839\n86230 88884\n21062 48184\n78627 88213\n51206 77630\n49665 83442\n10262 73388\n2561 49894\n80351 92718\n56339 75986\n36107 74556\n52412 75663\n32588 40231\n54973 91912\n24070 67812\n38647 97512\n55345 61271\n15125 63321\n29888 78449\n5337 53699\n42233 97077\n19053 27467\n74583 93548\n2918 54885\n42903 91672\n25689 42592\n3385 32934\n62955 90258\n73573 99540\n46 6129\n40963 41506\n15470 94819\n22347 40584\n53170 63501\n851 29649\n38626 52437\n46940 66287\n19024 75294\n9695 52358\n932 65156\n5727 55311\n10444 35219\n52599 56598\n3192 82011\n19234 30306\n13256 39900\n91306 92984\n12205 85747\n30957 54019\n14903 67071\n4039 45346\n14210 17861\n61777 93105\n18963 59643\n73689 78187\n17348 95390\n21199 32883\n69742 74922\n20171 64074\n18659 47158\n51753 92667\n80368 93116\n50268 92700\n2245 79062\n19571 61658\n23077 84214\n67517 94505\n67606 70117\n23580 91782\n22106 61864\n85755 86486\n48321 48665\n4933 51067\n37677 47143\n3773 14921\n58987 81130\n3947 20621\n27834 91250\n45109 45997\n14185 39814\n11821 32135\n59446 59516\n1496 31058\n18964 61467\n59868 69793\n24004 89120\n69806 88825\n74372 95019\n4051 64143\n35689 66041\n62712 96617\n11719 44856\n412 58742\n42578 51341\n18302 67202\n29514 89687\n63419 95322\n63060 91724\n23645 37644\n72571 75979\n23248 25308\n22756 37655\n4735 36784\n35337 36461\n27847 40338\n38612 48925\n17070 79654\n26280 76586\n80288 96505\n23281 66572\n4199 60592\n6177 34803\n17041 58667\n9688 72054\n7913 36117\n38322 56471\n31437 68409\n35709 44301\n5378 64440\n10531 96404\n68320 69256\n22880 55178\n55687 75960\n42921 78662\n28208 43860\n29877 42728\n566 75552\n19565 62572\n3659 97444\n18491 22679\n68632 91903\n30175 93816\n34103 44629\n14193 21335\n30011 33630\n27316 91349\n4747 13467\n57219 77477\n1774 73226\n34230 60671\n19471 36184\n23065 68547\n18423 53885\n9515 24854\n7204 20173\n80360 90204\n47728 91303\n33043 37380\n27608 36725\n8500 82931\n67727 99283\n63576 74324\n31687 62745\n58558 79843\n42233 55326\n44939 77020\n47601 96775\n20680 76608\n67091 81573\n52703 63207\n12662 38242\n37868 62432\n25667 73390\n37952 79366\n27991 38266\n55099 63387\n59655 91351\n42316 69914\n34746 45055\n85839 90990\n79972 84053\n15042 81350\n52986 84173\n35490 47025\n24125 66192\n17462 31869\n68866 91882\n19903 83576\n98235 98530\n66787 75779\n20479 47825\n35290 63135\n14139 26802\n21416 46611\n57575 93138\n41017 68332\n64624 72510\n39937 78747\n29499 50344\n29787 50133\n7019 51866\n57830 81576\n428 30483\n54594 79106\n35981 47299\n38497 85668\n1945 88646\n46350 59601\n21494 24658\n23778 98345\n5229 27176\n56792 60925\n17589 90956\n13248 77857\n47457 84973\n81520 85564\n58673 81861\n34159 37080\n38579 39079\n20360 50361\n12795 61372\n2990 4843\n26232 44840\n3780 27901\n19005 35605\n51866 85931\n28452 83248\n15115 39453\n48966 95373\n7353 41495\n8396 98917\n46478 76388\n47953 78843\n45637 82757\n62545 96098\n48745 62168\n8164 93933\n39662 42437\n40033 86047\n44135 80728\n36274 54873\n74030 93802\n18915 67548\n67694 89626\n53321 81170\n23862 28390\n1712 88105\n67182 70944\n63602 86324\n21650 32654\n19241 27058\n57076 66719\n24547 48335\n6190 68820\n19803 64250\n85866 99075\n13699 13741\n3132 90009\n55056 59904\n75208 86106\n9971 98483\n26991 28803\n11311 51474\n47391 63183\n24047 89031\n10244 53549\n43983 87305\n34511 40355\n60686 96279\n68551 97040\n31528 54949\n37406 77353\n73239 79325\n2737 6075\n77128 80137\n58860 86723\n22165 84744\n86935 92425\n41516 84124\n57846 59844\n50773 63086\n46491 52249\n89314 90112\n59184 70092\n50367 93554\n53184 60325\n8332 15365\n68002 73137\n10422 67043\n8499 99372\n12697 96264\n48557 52045\n16431 47693\n59052 70493\n32847 50208\n80766 92245\n61364 93129\n722 62515\n15235 79262\n59802 79962\n56596 90903\n39125 64172\n62286 81782\n7397 44989\n8857 49130\n26635 54718\n5072 70403\n3640 86216\n27180 69692\n41459 56821\n73063 74426\n53164 91760\n13469 59188\n22243 85692\n34760 46570\n29627 52625\n29910 72011\n21449 47655\n14880 52947\n10340 98999\n14765 44018\n76739 83872\n17338 77248\n62405 80507\n38902 87221\n17713 71439\n47073 99588\n11673 60403\n28352 44811\n24926 87796\n23187 34540\n10350 56240\n30886 88677\n15296 80458\n43084 55367\n63557 83234\n18532 91782\n53522 58417\n10673 84243\n21779 34835\n6007 78891\n50607 51568\n5013 66171\n37046 48041\n8017 33851\n76099 88149\n18254 72971\n46205 99735\n54993 59152\n35374 88391\n21015 42388\n10656 34558\n15259 44556\n63533 90857\n43497 80832\n24135 34499\n16558 70238\n13303 82466\n57090 70413\n38879 72339\n27724 77724\n45897 60816\n71045 81281\n64542 74224\n20967 85478\n95927 96864\n24352 57534\n60943 64995\n723 1619\n15407 25787\n6287 40528\n65112 96431\n44673 80531\n28970 37569\n14124 23650\n82898 86302\n41684 48983\n8093 35195\n95206 95600\n34977 75731\n38515 84471\n15126 74160\n67966 95424\n39706 68126\n31927 34056\n3692 57797\n41208 73279\n10077 65171\n73777 78786\n2048 67852\n43889 75574\n11967 82784\n35243 96075\n42834 98670\n3963 15964\n2669 10334\n9822 11194\n32673 70828\n7682 62762\n75143 77848\n83975 97381\n55956 62399\n59416 59915\n28367 62351\n24922 63928\n16554 80805\n36948 82378\n13344 71756\n14268 63489\n23940 56928\n12622 90405\n81090 97972\n46086 81421\n29517 75182\n37315 91574\n27553 48091\n67654 77083\n32517 97813\n81696 96236\n15460 35577\n17040 37736\n23383 95028\n10254 93455\n43027 58883\n42078 77290\n63005 79275\n11692 52989\n33679 78034\n64037 91968\n89188 92267\n31058 34897\n30429 60913\n277 66274\n2194 95633\n69813 72691\n16884 63447\n20112 35653\n5631 67791\n16851 43696\n23605 37230\n23642 49944\n71214 79739\n12496 21217\n9568 55668\n768 52948\n52080 93716\n58303 78490\n88221 98920\n83648 88345\n50773 55301\n19391 57245\n79811 86478\n22460 57266\n68328 88212\n25311 56444\n13515 46363\n8132 69839\n34101 73327\n58036 67728\n77905 89013\n70939 82102\n21048 38785\n4017 95022\n27784 53403\n22816 41885\n67007 77629\n27933 95869\n5228 44400\n9446 13670\n8048 89676\n65504 91130\n11054 45802\n11955 99051\n836 95328\n39301 64349\n7169 68094\n50888 89078\n57036 70808\n36643 57803\n65997 86695\n32643 62419\n1186 60197\n50029 77884\n26566 68060\n487 38816\n64046 88885\n30855 58758\n4719 55677\n49889 78405\n9406 96585\n61111 83920\n44785 46426\n28980 63169\n54148 85705\n37680 93076\n60379 69712\n77053 86197\n19211 70944\n86935 99577\n51751 93958\n51728 92242\n10589 88997\n73367 77592\n22230 38392\n61664 61839\n47291 92266\n12903 37236\n15901 93967\n36343 63447\n58279 98498\n26577 81296\n49771 82563\n61853 80635\n12099 67982\n75815 90439\n20238 67503\n78446 98396\n13190 80517\n367 7593\n8536 13311\n6715 12552\n39083 99050\n56434 83208\n18626 61811\n61350 99167\n31975 98937\n38056 82283\n37530 67750\n8611 65683\n52717 96388\n65063 74804\n3737 96233\n31271 66411\n3383 12576\n22676 27787\n15414 22832\n41 41680\n10254 24698\n21532 45681\n57307 78132\n36189 66627\n36942 60799\n70235 77353\n31944 33696\n56279 91035\n17097 96865\n29815 52115\n9802 69931\n20592 76918\n39717 50871\n17876 59350\n66174 70827\n68257 88332\n42332 44973\n72738 95735\n47052 83510\n35317 57249\n13497 89822\n7147 64214\n39411 91061\n4827 15392\n26409 53651\n55214 73138\n42059 81686\n56872 87775\n44074 71277\n56736 66732\n26073 78343\n10764 75613\n60691 79708\n25112 96570\n60907 85447\n6087 8954\n8705 71184\n10839 61612\n19281 61222\n3040 57845\n4320 26282\n8331 73735\n52489 97011\n44223 82594\n9657 13792\n86192 86197\n43238 53900\n1133 38087\n22745 79290\n2464 81542\n28511 29907\n45901 71175\n6416 94606\n8945 12748\n61831 89174\n12071 83621\n1727 61202\n41612 59495\n53093 87750\n11916 25719\n38702 65707\n18174 67234\n6577 94163\n32837 79769\n39876 90398\n85089 95187\n76929 91320\n66619 94231\n15953 24003\n26991 44808\n61984 62950\n70163 77943\n17573 60543\n68657 68876\n36715 84975\n13006 88192\n5309 59653\n39678 56097\n55928 77911\n34057 76115\n37784 56732\n28819 52999\n49037 67191\n29153 97618\n11934 26201\n39187 80340\n66825 84479\n8707 54791\n24319 87363\n58797 65090\n34808 91049\n49209 75622\n39984 95454\n3784 87350\n51339 56763\n45661 62757\n76123 87851\n30807 34566\n49961 79049\n23493 66506\n2795 44622\n14118 68769\n54446 82405\n35481 74167\n23280 50385\n27935 38151\n91825 92717\n32652 94447\n13620 35747\n35339 61345\n11930 90204\n56907 79419\n21619 86350\n12849 94390\n13216 96039\n14688 34012\n41303 82689\n34857 90247\n7003 17506\n30474 72192\n69633 82604\n24607 64524\n67723 73448\n6999 26070\n11573 20160\n73153 95268\n19078 48283\n4106 90386\n14246 59242\n2112 97246\n14325 48981\n30120 38960\n7481 12361\n63684 95120\n4925 83171\n27014 48836\n40103 40947\n4627 48487\n36068 91225\n11703 99781\n24079 55270\n2011 20573\n84471 87402\n10228 38081\n14217 21231\n23426 47384\n48113 62559\n22864 88322\n26301 96962\n34668 55461\n12489 89623\n33495 61691\n32518 62363\n14788 52902\n3217 68844\n70178 91444\n64818 85010\n42131 76863\n48623 79645\n6626 29168\n8915 47914\n12826 69915\n28978 46037\n22829 30683\n21512 62809\n54069 70137\n46789 54012\n22414 58498\n66251 91582\n71000 81398\n26597 84168\n73218 83488\n33112 40279\n25813 60716\n43840 79458\n61803 92241\n8152 35237\n24240 80372\n30828 41857\n43837 99442\n30242 71906\n24978 74889\n43652 95236\n6044 82194\n50191 81148\n19485 67910\n13536 69773\n61326 71339\n76782 77085\n12813 82234\n64759 91906\n2520 37690\n15427 91712\n56356 99684\n83113 86664\n21436 62451\n11970 99355\n56312 87991\n11082 82898\n14682 41984\n11226 73700\n53147 55388\n37297 41451\n8796 25067\n50138 57992\n7989 10513\n75119 86950\n8624 15149\n14035 76476\n25475 38256\n63084 98898\n20070 91897\n30519 58345\n29358 60744\n26078 30358\n15031 94738\n58253 85543\n1659 23698\n4834 18437\n27455 56528\n22617 26466\n1128 21325\n84755 88602\n58190 74451\n37716 84598\n17567 94900\n7418 8634\n15343 70277\n24791 82736\n2814 10351\n49371 80008\n57657 75534\n30752 94388\n11148 27055\n40697 76503\n10884 57064\n39978 94612\n63858 85432\n13089 92849\n8613 66596\n50536 83566\n2718 16743\n32774 47408\n40081 97371\n19321 62416\n10236 88134\n43239 53981\n24274 65516\n30030 95390\n47694 55567\n29904 53487\n29619 33622\n23130 72505\n49786 52196\n23757 71763\n83105 88568\n66198 73433\n72395 81657\n26338 94680\n5832 22511\n5245 77104\n4840 6497\n80339 82934\n6832 78313\n42159 68233\n2052 74168\n73092 80774\n48681 66924\n7733 64376\n53801 99860\n5127 25180\n476 26625\n36821 38876\n45467 86007\n46557 52470\n72669 73556\n10300 33380\n13513 71831\n38415 74167\n1332 60313\n20620 32365\n19899 82581\n39750 40436\n76716 81168\n27104 93445\n14178 61251\n21370 53091\n20211 47230\n72495 77509\n49810 74465\n70495 93787\n36645 61868\n75193 96614\n9097 67289\n9317 93387\n38859 94563\n53052 66942\n71502 93182\n51170 76528\n27929 50266\n23826 74076\n78715 85960\n45905 97290\n53562 91809\n16599 70991\n63583 82337\n60621 83221\n10344 34909\n75060 80305\n7572 61789\n14404 89646\n35854 83772\n57198 68429\n31259 50073\n193 43261\n43218 88970\n76320 97524\n9156 55186\n22874 65448\n29895 34693\n6711 44400\n29097 67938\n71701 89702\n33741 39556\n31538 89129\n44858 54184\n30725 35526\n3292 29573\n5940 67880\n38154 89410\n69246 83855\n20199 62731\n563 72469\n27832 48529\n3624 39980\n27516 74412\n6918 45642\n5214 60449\n6631 90102\n59661 73636\n4277 78522\n16917 39390\n2330 91445\n64506 90595\n42527 60313\n21911 94188\n42719 49390\n34004 84061\n41493 75507\n15051 37275\n33327 92409\n27131 89456\n23145 33260\n26981 49912\n12929 36095\n2354 92640\n30889 92440\n40965 57742\n15870 39925\n3550 6975\n33256 99275\n88763 96187\n22709 27190\n12745 19261\n8183 99888\n35331 90395\n37283 47317\n20266 94833\n5784 24340\n9641 61373\n16693 95948\n39610 67183\n15771 53504\n13627 59134\n32843 92288\n69248 69345\n47950 91151\n12705 87734\n2562 18906\n31947 55225\n47309 51165\n13517 88990\n5918 88758\n2842 7183\n21773 94610\n11780 80820\n28641 42385\n74915 80606\n62133 93841\n78964 88426\n2034 72704\n3838 46378\n60698 92988\n2834 58547\n3963 54494\n784 46256\n60198 88199\n20892 44484\n39911 86115\n75481 98548\n40564 64390\n58549 83918\n32959 47005\n45384 51026\n67857 80450\n39468 57654\n43179 66660\n43946 66525\n62204 93913\n8942 70209\n37709 53428\n58075 65386\n20400 36004\n32560 62634\n8368 41945\n3817 47202\n76841 83191\n17004 81581\n30949 33406\n58262 95289\n58812 72573\n57879 75370\n12432 80244\n61803 70029\n32685 33178\n37345 50677\n38375 87792\n27947 51874\n3648 44899\n20919 89970\n15972 63663\n59865 65217\n31396 83363\n3386 97536\n1097 63117\n33880 70784\n41136 56958\n22387 48775\n70223 84405\n30164 54166\n7621 16966\n9002 32192\n61325 77593\n34305 68650\n37384 59405\n11299 71548\n50945 81221\n40050 56028\n1524 27714\n25264 80312\n16932 32309\n71433 75454\n10789 24580\n59961 98850\n38594 88098\n15824 69111\n70794 88408\n30307 62218\n32830 47182\n43964 63291\n51735 74582\n6671 89244\n61935 71495\n30010 40013\n46012 78066\n19996 37323\n75352 87102\n47241 60042\n10036 74040\n23272 31071\n70082 91328\n33141 41021\n50308 76325\n38314 96898\n47568 47643\n5478 29940\n47162 52206\n9806 82533\n11287 93422\n4587 99845\n42574 65470\n37786 96042\n82545 87253\n59968 60007\n634 7802\n60011 63688\n2000 85478\n19553 77689\n28674 28816\n27822 99601\n5507 27821\n2153 49908\n20742 93656\n22645 37555\n38503 39237\n37301 80889\n24628 93265\n43282 60399\n13028 63714\n72917 88025\n53633 78982\n26150 65147\n1438 83123\n15230 22939\n6341 21132\n36046 87794\n24017 91447\n17075 81895\n62014 80524\n35074 72191\n40062 65894\n46287 56481\n38533 72898\n13257 83142\n33301 71895\n2087 63133\n8900 99916\n5926 31852\n14099 61972\n23059 39987\n61789 95249\n3409 55872\n38425 54963\n5602 87158\n14355 50479\n44106 59666\n78065 97380\n39154 51582\n30836 60113\n36432 63484\n59946 61314\n45019 46522\n37762 58414\n62000 65163\n72680 95399\n13251 22673\n21183 25929\n17370 88697\n41093 89683\n30274 38749\n6597 47281\n13148 87035\n15288 60137\n45779 91167\n27014 32916\n60769 66731\n41207 81100\n41356 62388\n59798 85014\n70671 80794\n68906 77161\n12712 66152\n71782 88121\n49539 95529\n51585 56270\n17681 32728\n35491 95721\n2464 10549\n62796 71403\n105 53065\n36422 99262\n11217 25444\n57094 93110\n4628 29515\n8745 52474\n25826 77954\n15868 44293\n16778 42458\n22412 54151\n7867 90670\n5953 36242\n5382 6445\n29323 81768\n8481 12545\n24024 26427\n21819 67773\n36519 94184\n28029 53734\n10733 66322\n7826 11211\n37988 78134\n18817 21832\n76715 86500\n69532 89056\n5528 49436\n60182 64187\n67379 95609\n920 66615\n62592 91919\n58382 89756\n20313 55876\n83472 85595\n51018 73943\n40206 73341\n75386 77274\n51073 73293\n84479 99694\n72161 83602\n47963 88407\n7543 26153\n14383 58058\n2485 3074\n51335 72554\n22690 38800\n49757 86173\n2187 11259\n32233 44725\n38746 48592\n16509 64409\n34757 89594\n3064 19359\n75658 90541\n82246 96206\n5461 74741\n28366 40806\n43548 45584\n22865 73388\n37878 65292\n43508 47388\n23896 31987\n22103 44943\n18150 60594\n11736 69166\n38027 75634\n2585 10910\n16942 93113\n42068 77917\n31154 51394\n23118 58349\n58947 83560\n46239 60648\n1082 84520\n15802 34343\n71503 86829\n58308 77175\n1723 63817\n37696 87946\n72812 87903\n42380 60981\n51523 65445\n12384 88089\n86172 99697\n15480 59022\n7816 30869\n6049 93252\n31694 57021\n56112 83882\n42345 54759\n38908 93451\n8006 18367\n87260 98928\n20878 93030\n17115 73014\n22315 30773\n37099 64717\n48297 51116\n17372 49152\n22060 23163\n30511 32020\n35419 41935\n6023 61156\n8655 11901\n73830 99781\n75243 94390\n2702 60300\n17838 41250\n25516 27824\n33345 56434\n40255 68695\n54075 73002\n6557 92767\n58566 66732\n15722 50052\n40248 40527\n40266 48279\n60512 75166\n39061 58710\n24632 42172\n42147 86814\n33442 97369\n40390 77307\n36981 37244\n2638 29564\n36343 91332\n42178 72089\n39335 57054\n7044 19633\n69371 82076\n28769 58128\n29201 57611\n30773 77240\n15459 89457\n55582 87596\n14225 68004\n22103 50021\n32392 57789\n23156 57036\n9976 87672\n57708 61960\n67031 77667\n9560 83042\n2637 48294\n17367 76773\n33248 67998\n81191 92436\n88507 99077\n76202 95277\n64834 77986\n8199 74277\n1297 79376\n40073 82651\n35434 77891\n13 84526\n89496 97626\n22220 75076\n55133 83941\n75660 85981\n42717 99288\n18797 55959\n6792 12718\n60323 97451\n51514 57548\n78276 88271\n1420 38774\n59341 87601\n9435 84637\n41335 78008\n20465 43255\n33026 86471\n18647 85812\n73089 80720\n62989 97842\n78180 98535\n15625 81471\n25727 54951\n28082 92678\n43870 96108\n13569 28947\n6685 40649\n74192 78896\n3399 80617\n76001 83785\n1819 34322\n24431 59362\n24507 89399\n25981 35966\n41831 58836\n23074 62470\n7974 52872\n38781 75091\n70183 78521\n12853 95294\n14637 32135\n10659 76277\n66350 83501\n831 40177\n74775 75307\n66751 86787\n3198 85420\n47777 74523\n3010 62354\n67280 93341\n35936 62091\n22003 37694\n13514 19618\n14317 73825\n19010 71922\n4371 5900\n7832 73358\n37886 42335\n23001 97367\n53329 96215\n47523 50079\n67854 76683\n72464 74222\n18214 40217\n91824 94428\n20491 58572\n72731 86701\n18946 78708\n53271 93114\n35075 60920\n19260 48982\n7156 22715\n18407 43856\n63153 81651\n38503 42177\n84233 97728\n34462 55700\n26214 38216\n88137 94800\n58824 89900\n27659 34176\n6273 34740\n18973 70048\n42746 59798\n36743 70736\n1970 90959\n33646 56372\n12168 39488\n45889 58109\n56326 67304\n45873 50438\n58236 84294\n73788 89341\n15982 73273\n32602 77214\n21839 47662\n9853 60599\n89616 99806\n34257 70404\n49103 70123\n8597 24574\n7615 50158\n31380 74920\n23557 77194\n303 35244\n6393 92296\n60029 65495\n3509 53868\n31792 91636\n46200 97296\n14494 23895\n26660 94519\n45424 54720\n14345 56382\n38453 38715\n33217 41223\n6138 23651\n39300 58224\n52975 91717\n7164 60146\n93092 95919\n16061 53524\n39242 72904\n61933 63735\n63317 89852\n66985 89532\n16908 74901\n11238 42646\n6835 25701\n29981 77487\n1236 69462\n22831 51412\n19676 76961\n13448 13995\n36236 52602\n11992 46446\n26969 56012\n11618 40907\n13169 22615\n12927 93868\n74538 76529\n8817 44561\n36654 97905\n15619 93710\n66072 71137\n6277 37887\n20313 48357\n15494 81476\n1171 84807\n48949 83800\n35113 64525\n17625 91514\n83527 95666\n9384 10098\n43021 84760\n14766 27218\n29587 55628\n832 40783\n52860 86600\n23184 72599\n80884 85766\n51523 61545\n3137 27532\n40772 43285\n73458 99303\n15453 29114\n61669 90842\n49799 80329\n22515 80362\n33103 66271\n37508 61024\n13508 53683\n7703 12385\n6157 43319\n37967 58359\n14555 39859\n53759 61518\n47242 59831\n5967 9345\n59231 69909\n35990 60285\n56550 69759\n13236 61739\n20720 87128\n26727 55957\n29143 60275\n14576 36928\n36356 97443\n2221 22118\n12306 17552\n18824 39777\n58624 98382\n70340 99927\n32984 71746\n11361 66453\n47778 71426\n29455 74415\n29358 78141\n53803 76122\n16903 83872\n93506 97041\n6799 40243\n43179 95727\n10655 94523\n17992 82912\n27224 68729\n1343 55163\n38315 49064\n38134 99808\n72819 77977\n14134 38924\n85556 95802\n65046 83841\n57513 91657\n11002 83454\n61972 93769\n54858 55136\n36319 97823\n21577 82006\n7118 50781\n57135 70702\n8407 76639\n26170 88513\n63655 98448\n36877 62924\n59888 86157\n72969 84620\n19959 89268\n55509 84215\n66928 71322\n34494 87092\n81396 92246\n39746 44162\n62166 84684\n1921 17411\n42658 49751\n37632 71846\n18452 74342\n58841 96287\n13821 19269\n25333 58991\n13785 49800\n48975 84504\n34974 70224\n76053 79876\n22301 76874\n76610 90226\n32027 83181\n14794 35403\n26863 61111\n38264 95845\n49137 74343\n65359 86699\n44602 84648\n58308 92035\n65898 88091\n29648 30849\n40145 90752\n39729 77840\n77345 82180\n40593 59099\n22298 99653\n14406 66516\n12372 72595\n9442 93270\n69519 74968\n25734 95940\n15907 32565\n15714 44663\n5601 90534\n74841 83946\n18974 52986\n63957 88791\n44294 72468\n4389 36577\n15956 61811\n23909 27963\n36774 97609\n68990 82820\n39059 65682\n33859 51369\n21354 54633\n52698 93240\n40319 59973\n24816 35092\n5835 67203\n66545 70456\n26649 67321\n2315 78604\n37420 56820\n4317 65987\n12584 56180\n8975 80033\n74599 90393\n23376 88133\n32326 55748\n8314 34355\n84048 93794\n3054 74675\n49798 66941\n82671 88122\n864 3827\n64352 72514\n17297 42626\n48360 57071\n8983 40783\n74420 99950\n27933 70363\n76420 86063\n36266 59238\n59471 77616\n42283 64124\n7484 70407\n59046 85953\n31010 68514\n5652 69276\n23398 38904\n33809 88522\n687 55307\n29142 41050\n39488 73785\n24003 24204\n72133 76052\n61876 86197\n42061 54061\n35053 98679\n8999 34458\n27810 57353\n44813 70113\n64867 73012\n54117 71360\n23341 66033\n9707 59886\n33256 47191\n23050 83021\n15369 73641\n51768 74059\n57802 96673\n26717 91332\n38246 82136\n5824 78756\n32975 95140\n42435 97589\n4573 17652\n58408 72137\n30910 78373\n3388 8052\n88033 93079\n55934 59565\n64746 93904\n23119 55916\n52185 93658\n17340 54419\n67713 74831\n47337 57562\n49466 80011\n39888 64755\n10135 30163\n43020 88317\n63807 82256\n41500 42336\n15458 42720\n42086 59289\n21741 79772\n65336 65339\n25822 49849\n49003 73500\n6681 70261\n4574 70325\n15290 86266\n31173 45207\n19674 66028\n14764 95126\n38863 90992\n19244 93533\n25561 28056\n36908 52914\n48594 49533\n34396 45708\n32597 75379\n34413 96462\n4148 5355\n37476 97365\n55531 91692\n5675 49557\n10338 56793\n7113 67294\n19877 85317\n23134 26330\n16455 79526\n3251 44296\n57490 76127\n18474 42040\n10602 94758\n48314 99247\n22976 36214\n18413 22178\n5509 86184\n43674 75069\n92270 99664\n18940 97075\n46322 63182\n2103 40882\n67257 81389\n19234 32563\n64880 93755\n31258 46104\n89105 99999\n39579 88878\n22543 32166\n54143 95341\n11231 61770\n21847 36830\n43944 50172\n20039 46644\n23810 86007\n47714 78888\n28554 78645\n90544 91064\n27564 36630\n7773 47573\n56714 88535\n60361 81939\n35185 98784\n58975 71987\n88074 90887\n403 26766\n60284 62359\n3123 81845\n79295 89650\n35944 49156\n56791 94596\n2136 88449\n25951 91903\n16543 61674\n53858 53989\n39651 78326\n20570 76580\n13857 18639\n26160 57610\n11250 32665\n9071 31794\n44259 69628\n10915 83411\n12287 75114\n25448 93012\n42067 76215\n48406 72926\n33675 42963\n24270 32172\n43500 59641\n79280 95446\n32893 41214\n2586 29886\n12224 58619\n42739 85102\n29726 44260\n10000 58265\n7721 15879\n13358 40686\n54048 61032\n22947 49663\n28701 56658\n23479 84943\n21329 36277\n2224 87729\n57315 83652\n49217 97782\n50150 83523\n52255 97898\n67499 98570\n11907 49866\n36177 63737\n78539 89872\n4561 79956\n6090 76104\n18079 45635\n29138 98192\n6535 56205\n7869 18605\n75988 78179\n25392 44408\n10794 89416\n7781 61932\n32457 78509\n53308 82789\n61479 85773\n40656 68559\n23919 50352\n21635 95005\n6087 45150\n792 80874\n21988 62303\n12492 79881\n10368 73325\n44416 81537\n37861 64012\n59137 84630\n62383 87504\n22065 80489\n4333 13345\n25971 48660\n54258 91877\n33893 47759\n13775 58973\n81942 82571\n73038 89612\n23873 94716\n5635 7037\n31687 65737\n43359 88313\n40467 58284\n28288 31758\n26705 41259\n56147 87679\n13236 92409\n22460 39790\n15161 16835\n50966 74959\n55485 67871\n62702 86016\n49855 50178\n61923 76394\n41230 46350\n28464 62007\n50502 55616\n58617 61936\n61013 61385\n1030 25108\n30082 59047\n40228 94610\n20060 49497\n12749 57153\n36293 99713\n9826 47236\n13832 21817\n18887 82373\n50719 89989\n22765 63311\n37530 90187\n25071 50404\n6893 13848\n64735 87560\n17614 26916\n73183 82388\n41816 85385\n13743 43613\n38762 63740\n23722 69596\n7351 28211\n76879 97455\n16015 46063\n14943 54748\n58739 62048\n3612 42712\n27820 96853\n83241 85395\n33885 85307\n27859 52992\n2968 79874\n2718 96465\n21780 41447\n55043 84068\n23798 25359\n23714 60866\n7239 14555\n43280 91984\n3338 54770\n6740 84788\n10155 98903\n18234 67455\n75065 96926\n21885 60628\n51840 89998\n33784 42075\n55899 72176\n1828 99378\n51068 74145\n59724 87528\n12672 20820\n74056 75518\n64092 85601\n30241 92988\n348 90272\n33334 88912\n44744 57338\n60273 99059\n26213 27362\n65723 96020\n1304 81288\n51396 65276\n9175 16614\n95689 98806\n2518 12052\n20017 71235\n49801 95354\n26956 90614\n49651 53312\n61898 91149\n14936 64916\n36973 43511\n50903 57574\n22174 65499\n12429 85927\n3970 49955\n46563 79150\n56134 87907\n51188 59601\n4193 28604\n35155 54075\n52701 81149\n51090 64454\n7633 86122\n24333 52010\n63463 93003\n61935 97441\n18452 65304\n88657 89732\n35934 50576\n14603 47642\n39036 72439\n9928 49446\n1551 46454\n53788 90310\n59344 87770\n18591 83250\n43834 75625\n27163 56715\n50256 73426\n56988 72744\n11983 87522\n43768 81765\n13095 63987\n87684 94241\n7232 12363\n14157 26434\n646 77220\n546 12467\n16931 72152\n32051 93861\n18962 90182\n46287 82976\n30316 65078\n20706 40338\n17146 39492\n5566 26914\n4106 16434\n43097 80707\n54523 79600\n4489 49571\n4258 63325\n157 63754\n31845 48591\n4456 51100\n15181 69776\n13984 65503\n41557 72490\n6527 30234\n12359 64871\n23557 46436\n69223 90787\n8970 89757\n86213 87051\n20164 22470\n55388 90909\n47644 65424\n7977 64120\n52048 94346\n12868 45860\n10786 64189\n19849 28363\n27569 47173\n45577 80414\n13251 31168\n58796 67379\n16418 48912\n55599 82094\n22335 24559\n15414 54002\n45285 49651\n81082 82924\n34092 61367\n11039 19682\n81389 95982\n13441 67401\n15720 70150\n22377 43951\n3163 23239\n17323 82534\n11542 43220\n56780 87850\n17595 24824\n40085 96033\n61570 74519\n53939 59260\n19526 66440\n47205 61879\n85280 87374\n46968 47585\n44114 50387\n28804 57389\n17825 70240\n17492 78348\n25200 33834\n58578 96381\n42976 63168\n52977 73339\n28524 46171\n56288 92061\n9733 45242\n7864 61929\n7035 19266\n67339 89721\n3918 68040\n32443 61968\n5102 22833\n29303 70670\n18198 82206\n83414 87335\n93039 97543\n24906 49706\n14274 32399\n48099 77217\n8366 28016\n28346 95643\n14945 51454\n33987 39847\n28183 73524\n9473 45446\n75959 79062\n43815 58695\n1605 92785\n38715 61334\n36144 80280\n14451 92954\n33677 50119\n29100 65847\n11758 59260\n49991 77633\n11258 82898\n70576 73442\n8349 59650\n50032 50205\n37154 98809\n79152 99317\n10175 76322\n27382 80758\n33395 89175\n1321 13509\n6370 37798\n21115 47489\n17523 39837\n56646 81207\n9980 99811\n18201 60995\n80575 95220\n7932 49574\n962 66851\n39433 74882\n4291 76997\n38105 40520\n21807 58301\n15886 25524\n32867 39141\n23947 36365\n13912 50098\n15479 90965\n14074 92881\n46273 96389\n357 23459\n32183 96426\n72338 82801\n16064 51601\n2723 93010\n39538 59695\n98218 99144\n57563 96625\n29881 71978\n80425 86539\n10183 41225\n83514 92752\n12668 58955\n34475 38786\n13963 95944\n8535 31877\n95590 99337\n28348 99361\n55977 96196\n85165 96783\n30744 93850\n9376 75047\n22593 63901\n12548 27929\n28963 86540\n27699 73181\n18974 25569\n51847 91981\n69520 100000\n29255 65241\n14672 78991\n62055 72191\n48531 93287\n12306 92845\n49001 71450\n47582 73449\n16548 57126\n44190 87884\n4696 35817\n48729 75184\n120 11740\n56450 58072\n32846 61304\n24614 26490\n5169 53363\n20492 97453\n7098 72767\n54802 76216\n34095 80623\n31045 79518\n62430 97780\n22360 44880\n41494 98378\n9411 28169\n56593 57888\n14268 19159\n52444 92564\n3302 64802\n15795 89178\n1909 44768\n66632 99581\n12120 86012\n35397 41952\n19344 88633\n11120 11215\n9887 43727\n28197 68302\n7149 60587\n9418 69689\n91410 96368\n611 5850\n5026 31163\n5647 39842\n42778 64776\n39367 48660\n7258 18247\n76068 96992\n26436 52498\n31475 59235\n65114 97405\n68394 94641\n17390 33579\n7876 96651\n29551 94570\n51135 75168\n11593 61185\n45889 82247\n41205 43747\n21683 27447\n17744 49490\n52956 92635\n12031 80453\n15981 73904\n11844 45456\n59677 88488\n65044 99316\n32284 36756\n62393 93408\n5739 98779\n17365 31468\n9937 65440\n4825 88663\n14796 47445\n15351 32751\n40454 97119\n25060 61552\n18763 46940\n26154 54863\n83536 85915\n43825 71709\n18406 32357\n43552 63335\n74590 80574\n10469 94379\n7928 77593\n30151 74414\n65053 99754\n4108 99166\n11675 60719\n34473 60337\n36383 54015\n2947 9324\n22452 93992\n30252 83740\n10199 63849\n38871 62413\n70299 70923\n34466 80271\n14864 51330\n64614 77545\n20063 45139\n63921 74720\n9954 45703\n35795 53735\n29584 29670\n58003 82399\n75702 80609\n36569 38894\n13009 62901\n35807 46240\n24393 86639\n21673 96681\n43427 84322\n7191 12323\n8888 25996\n68563 73231\n10885 75376\n23347 73971\n73932 92521\n2268 12432\n34085 92341\n16646 41855\n16935 83417\n71549 81136\n43212 53940\n3641 25861\n50846 64594\n35611 42835\n1249 28819\n56675 77043\n45714 81711\n33528 50001\n63970 88395\n49911 54824\n8046 44795\n28098 83495\n53855 65964\n66857 69389\n19988 79923\n2863 62081\n22465 35744\n1468 97509\n4236 36577\n22959 44326\n10015 60796\n23665 92405\n75437 79219\n57805 99546\n14246 66161\n23159 91578\n12128 25989\n27977 76432\n62205 86995\n11756 75430\n31125 63647\n17005 21422\n18509 78475\n19141 30718\n2148 51534\n11100 13839\n49924 85646\n18052 27183\n12884 42005\n90339 99006\n141 15159\n15358 27554\n68573 99694\n12857 94552\n76512 79421\n4775 62864\n37778 61161\n5648 17721\n49848 75776\n23286 48897\n1357 20423\n32856 73707\n26959 73708\n14581 33518\n257 32004\n418 95321\n8610 84059\n27696 75476\n2998 78322\n9348 46982\n54254 80241\n47485 90148\n7396 94982\n9681 85927\n50057 60621\n9420 30045\n13785 26037\n23306 43491\n86360 87607\n63747 70350\n84344 87917\n41524 67662\n12546 45411\n42048 75508\n5340 18583\n19782 34568\n36823 54962\n70918 90486\n10752 26109\n32709 57388\n45019 89641\n34640 93129\n16052 55990\n17373 30553\n73163 87377\n13079 22132\n563 66656\n68824 79680\n152 89545\n88563 90878\n39627 86385\n22237 79486\n55467 80069\n16284 67878\n8909 42906\n56097 58251\n4658 84680\n2730 65982\n19043 84009\n25754 79083\n29627 51198\n26404 41393\n28615 31800\n5975 45802\n15635 51698\n19297 88780\n24696 47848\n43804 63439\n3356 95343\n4280 99319\n21413 98135\n69938 89650\n31837 57329\n73597 87877\n20298 51130\n23492 63327\n65421 66402\n12629 62363\n94836 99403\n33518 74944\n22551 73236\n5567 91167\n25370 48879\n12582 88850\n41181 69987\n51515 68835\n16988 27722\n8291 27842\n50796 76174\n15474 72181\n64883 78381\n64581 99448\n146 80300\n6475 62759\n19556 28959\n29722 87224\n22435 99066\n4255 37304\n80580 93699\n37085 59045\n46294 55827\n21324 36488\n90830 93584\n76231 81357\n38519 81111\n15484 37965\n29231 34844\n1391 37848\n1884 96998\n48735 92035\n76895 90119\n59935 62463\n41903 46322\n51002 52448\n6812 83519\n77700 95066\n51704 99622\n43770 76586\n11414 77798\n41369 79655\n47944 65663\n36295 49137\n31012 91915\n45770 50857\n38914 69757\n23787 58739\n22869 87957\n37916 98640\n24528 51330\n31429 88230\n34679 49280\n88319 88320\n19483 80657\n15429 99114\n3247 65426\n37276 53346\n79239 82495\n2191 6740\n51297 83672\n26662 85052\n30667 50251\n34756 44391\n38579 38667\n86620 87021\n37221 83777\n19935 32105\n52769 85316\n2660 97625\n43909 72445\n60383 84015\n58430 67489\n26058 77382\n57355 86950\n2937 66716\n69008 85901\n2875 56630\n40038 94170\n63428 72797\n86982 89728\n61574 89264\n60693 78475\n20552 58046\n47540 75853\n44641 98941\n35312 52668\n50702 88099\n39128 80926\n25520 80012\n1962 6325\n45567 76530\n45604 83013\n64712 90899\n96744 99260\n53790 79470\n33948 53249\n57110 83085\n15799 34773\n41398 45223\n13503 34099\n59840 64896\n22699 97665\n2777 65519\n27368 88704\n61681 95135\n13742 25588\n49027 95679\n54461 58206\n11162 95461\n22522 46936\n55498 89114\n7286 44262\n3990 34144\n96747 98365\n690 37132\n137 13421\n6459 25834\n3616 15147\n32189 83283\n19408 56505\n48495 49103\n48571 60675\n3015 87987\n40309 55948\n39383 77016\n14931 32796\n10200 72011\n58918 82802\n7355 92702\n61283 71228\n27909 70113\n9422 21986\n11307 73792\n18625 41532\n50258 69689\n12533 99524\n29712 87624\n56940 96470\n40027 94679\n58814 91143\n88066 96151\n17033 23999\n43776 96130\n12056 41995\n16958 38370\n57782 61888\n16172 22396\n19974 69482\n34967 51311\n45857 82475\n54857 64844\n57462 96440\n84844 86659\n47512 59931\n9764 13743\n18392 57573\n36063 92540\n5689 50857\n42781 82173\n63480 66154\n821 43945\n24913 83360\n71776 72299\n16731 67900\n49287 76269\n12165 54652\n43862 77191\n27650 96049\n2438 57821\n29807 51728\n58309 81443\n19942 50418\n9315 9694\n18180 60065\n37661 66651\n13989 74807\n8519 45210\n66110 84574\n31872 63622\n32264 65811\n20499 95307\n18512 95914\n45445 86742\n25851 55606\n1227 25905\n6519 26855\n28748 72173\n45517 80415\n46289 72957\n20369 79684\n83868 96093\n29045 78022\n25048 42629\n24139 86096\n45356 46847\n4041 70838\n55643 92296\n44397 64630\n9341 93154\n19688 82972\n38749 67354\n4055 7212\n4928 14595\n20310 22679\n65437 72132\n6500 89777\n562 32992\n62130 79586\n54387 94219\n50485 96036\n17861 99502\n30673 71050\n51541 57000\n15272 50234\n11398 70571\n83898 92545\n13633 84802\n6736 96047\n60491 71709\n56813 70064\n32989 37273\n38177 92914\n44646 45962\n14469 55005\n2873 65426\n1451 38330\n17438 85857\n57224 85771\n27321 62549\n14669 77451\n52578 90528\n47224 68196\n9282 56214\n67434 88031\n67023 86270\n33223 82326\n24690 40960\n80978 97308\n42899 76765\n52260 65016\n21023 26893\n21164 25815\n22526 23735\n14439 45186\n78855 95751\n73598 77314\n4343 15706\n6713 35741\n21904 31145\n31561 87472\n59224 92621\n4086 27927\n42368 66488\n74963 85559\n4130 74697\n2570 42308\n14012 30303\n49876 97626\n89131 96527\n19080 36713\n16474 47371\n51837 68977\n25434 95742\n74112 74973\n5944 52692\n14053 71293\n27 54639\n25723 49041\n35633 83878\n24038 80619\n14681 28774\n34705 54940\n404 79820\n53140 76549\n42397 92472\n77017 96843\n6443 39287\n30410 68619\n6039 76741\n38319 44464\n53410 57103\n25127 54413\n94538 95148\n16519 59609\n3387 68258\n65867 89991\n60770 95686\n52563 64050\n45381 60686\n61783 90604\n59116 87351\n37560 61333\n16262 40503\n16858 83696\n8544 50372\n5955 11670\n19475 87590\n37702 91595\n7931 21145\n22816 28126\n6103 9007\n31276 56164\n1308 94249\n28524 75265\n50901 60870\n39692 95402\n11369 79876\n57102 76791\n79447 85242\n71844 80842\n55482 80357\n34727 73730\n62031 71689\n4264 12322\n5144 70758\n19529 71838\n19504 19730\n26444 49893\n50139 64822\n28799 46836\n11734 22634\n28410 48324\n86643 99580\n26876 64973\n27202 61804\n666 89966\n27429 79892\n62253 75873\n46002 94352\n66355 71641\n1685 84351\n37239 57427\n53859 84434\n7497 8244\n23419 91609\n74949 75461\n32030 52645\n73195 75669\n49792 76805\n30840 76879\n45055 98197\n10225 79733\n30399 99322\n9171 34620\n17744 74221\n41843 42118\n49806 67895\n5062 16783\n37689 53893\n57412 80357\n88306 91130\n36897 60960\n15524 27779\n91472 98262\n569 92452\n9171 89379\n8375 52542\n38409 94832\n27212 58254\n12883 65950\n43195 66017\n21535 77848\n40487 92330\n13502 63312\n82817 88957\n89654 96809\n43034 67339\n21943 94136\n12606 51298\n30298 80822\n60934 66251\n9291 33318\n56286 69006\n18823 27718\n8879 94769\n737 39567\n81179 94695\n1861 44149\n7663 94979\n1534 12124\n56161 86039\n15331 31850\n46204 81277\n48927 73306\n23294 85882\n2234 84085\n480 26150\n44956 74290\n30280 76459\n53476 69056\n6519 47453\n23628 55447\n3578 58544\n22233 52304\n29614 31482\n46148 62314\n14417 82436\n12082 25370\n37350 60513\n62007 83262\n30649 60581\n39492 46366\n48630 84630\n22932 82451\n66840 75590\n35078 66484\n27428 38092\n23950 47472\n46075 57591\n58504 87596\n86800 96169\n3817 20221\n76342 79810\n92432 93742\n1579 14684\n21101 89046\n33829 36229\n58816 59060\n58575 88862\n63476 92035\n11600 48048\n39407 63767\n1857 62733\n937 48431\n7673 68045\n46451 59973\n26561 56527\n43375 96926\n14263 89174\n70736 81926\n31811 82766\n57783 63035\n15851 31295\n2402 67401\n64374 81575\n36331 48196\n40022 62962\n24694 85735\n30946 36348\n63181 81757\n34608 99142\n9771 47249\n4645 57004\n1074 95084\n40964 86241\n5888 74511\n27646 54734\n35637 57362\n80190 89927\n16939 95043\n5729 43414\n1737 84900\n63241 88647\n3331 87821\n41824 85451\n43449 76568\n27233 40086\n43981 77719\n49211 61558\n23671 40186\n1266 94336\n115 48358\n87848 92857\n32752 62981\n34978 84819\n13931 75039\n279 49646\n41402 99257\n15054 27868\n2877 70518\n57716 88074\n37268 83021\n26839 59888\n25844 77604\n29111 41503\n25186 63267\n35961 65996\n4824 61776\n73667 86002\n4742 17156\n7592 15830\n49335 68070\n33587 38338\n12617 73540\n26710 35432\n73459 90592\n48519 97167\n69067 98034\n3156 96054\n71506 97405\n83516 85229\n38849 64049\n6640 90203\n11476 55048\n32425 98898\n46272 76256\n8636 40009\n39689 47454\n45091 93617\n43912 93925\n20384 88685\n6637 73521\n60203 91254\n38788 81860\n86929 94985\n66807 78533\n18711 70545\n4926 14709\n63429 99902\n81275 95948\n38821 94416\n6623 79654\n27362 51467\n16423 68610\n32745 55046\n2259 43944\n40200 48005\n3791 56823\n48617 70034\n40113 93130\n59844 98323\n45825 76548\n14646 98206\n47271 81694\n13851 82723\n35037 87161\n77369 87866\n59101 62902\n44073 84354\n9383 57759\n10120 31164\n23457 53165\n38355 44641\n25379 85969\n51979 97496\n16506 25156\n71361 76055\n26260 92231\n36270 50004\n11440 51185\n691 4772\n11600 89754\n44411 79160\n36313 93303\n8104 52879\n27891 45192\n5435 35016\n63209 73393\n51825 74093\n8741 94284\n10972 24829\n21841 39439\n27588 49098\n42622 45860\n447 85341\n12786 62892\n6127 89557\n4392 26268\n16612 46968\n11939 54282\n24256 40461\n24722 26858\n57005 83533\n11626 88120\n65279 67119\n53361 99316\n11442 32943\n72191 96871\n1650 8725\n32189 48999\n47278 51344\n19816 38163\n8704 79796\n85610 85633\n56315 97036\n36442 87854\n54087 94280\n59233 72567\n22367 82050\n9603 65115\n49978 56836\n30934 48730\n26005 91538\n17765 74686\n20443 97252\n6813 82608\n21394 63372\n53832 71283\n6912 78785\n40850 49214\n26283 87387\n52523 98191\n10511 99920\n42273 83568\n89955 97756\n60747 65297\n44909 59340\n29653 48037\n6317 61926\n876 61853\n42106 92435\n3657 72961\n14439 51310\n13205 23761\n87899 89072\n61512 88051\n43580 77039\n14668 41600\n13764 90795\n10245 88468\n64466 85385\n20874 97151\n11634 99276\n92313 93031\n17137 44153\n5752 66163\n1958 56408\n7333 12287\n30855 63608\n9546 33775\n15337 39178\n40055 79332\n34624 94324\n17858 78995\n356 58341\n71772 78156\n24970 49937\n7412 91249\n15152 63433\n20842 90622\n72985 78595\n38673 68324\n24133 27903\n40797 49119\n15586 37449\n38352 45362\n1431 33274\n11733 45181\n10289 38213\n55275 95176\n14711 44672\n65152 88143\n35319 58587\n60853 69466\n52377 68076\n7195 33207\n23018 39231\n5092 27481\n13329 60976\n10416 39565\n24397 84646\n71110 90129\n77959 89001\n24860 76910\n7159 61761\n16872 52538\n23422 51104\n11712 31197\n34852 39352\n72833 80285\n62981 90770\n20501 94184\n40425 80305\n35517 80059\n56621 75718\n27014 39077\n33575 91298\n37374 67202\n13090 93953\n41642 96192\n65959 94869\n51903 80028\n22161 82433\n5705 19095\n7222 60406\n5129 44472\n21228 72512\n37305 63006\n42667 63576\n13118 51269\n79138 80874\n29701 60634\n2051 65521\n13313 65028\n2302 45597\n957 15533\n35677 68408\n87010 93238\n15776 46193\n51693 80903\n49803 51981\n9230 97834\n609 51793\n22469 55193\n88508 88745\n30089 69060\n15484 64353\n1664 53856\n40587 45860\n68805 98164\n53872 82234\n95805 97982\n25296 64562\n17040 50133\n20245 27593\n77466 80632\n32410 62217\n83203 99869\n12366 89762\n17752 44171\n644 84166\n13828 76405\n55382 98869\n28240 60888\n56087 64654\n36830 76896\n83673 98793\n9190 77368\n17054 87210\n31381 44043\n36425 60100\n48501 81576\n38450 51863\n21076 69336\n24617 92058\n33589 56396\n26678 81670\n28753 70706\n36383 73003\n19447 51918\n72238 96591\n69011 90287\n64928 87735\n39647 78716\n29838 37425\n20783 24116\n36664 49079\n61773 84007\n13154 74157\n67654 88651\n13400 50255\n72357 93242\n53249 84508\n10029 47706\n31788 55131\n53984 92472\n37972 95167\n64721 82348\n25075 93695\n39748 52665\n14204 65068\n3917 88047\n25114 71747\n10389 78730\n36664 73836\n59260 74173\n11644 67192\n33084 57681\n95438 98378\n8633 53009\n45967 48955\n57411 74775\n14164 64483\n43651 69247\n5802 26932\n49362 73887\n32064 80993\n19078 98425\n60164 96094\n29596 89057\n11384 88606\n12672 74377\n46048 52728\n28237 30346\n22514 86380\n30976 68539\n77385 88553\n33100 52005\n13134 43445\n16704 81957\n29452 81298\n8972 81914\n65733 92299\n25622 33838\n7875 83158\n20223 26516\n49458 70620\n13233 29938\n36446 55113\n23279 34138\n725 34145\n32864 33495\n18660 40556\n39146 54717\n16035 59110\n17191 20396\n25819 59059\n22534 22915\n74363 96182\n74255 90235\n61473 86966\n14312 55257\n9654 19023\n21672 92565\n73716 99092\n20220 32894\n32905 53729\n33815 94111\n29135 72820\n8910 68144\n40874 82842\n82391 94716\n39639 65135\n42167 57255\n45471 76266\n54375 55761\n10136 61168\n29306 81525\n26999 87603\n38205 44289\n54833 90301\n81249 91800\n30324 95780\n34149 72627\n36287 79999\n32950 68434\n45752 56461\n29365 88396\n40250 71531\n19901 58605\n7250 90988\n37486 60089\n29341 89050\n19097 42296\n65083 75474\n46603 77099\n81445 97455\n6765 90000\n38053 43992\n40085 53364\n19321 91346\n25110 49297\n45456 75894\n77778 97274\n16131 49763\n56329 88448\n8131 22424\n40751 42393\n13051 60944\n18419 31305\n59381 85723\n35687 56905\n38105 61789\n69604 73990\n16126 18059\n14692 25209\n41730 78280\n15956 98378\n16034 67588\n71010 84169\n24381 44981\n29463 73535\n7554 64590\n60236 95811\n58898 85952\n67204 71907\n19248 94765\n14682 68793\n20083 33038\n22595 72363\n15934 77490\n36355 84336\n4329 61022\n44786 86122\n55380 72653\n26645 42616\n43000 45434\n19501 90284\n6165 14838\n66627 79408\n88743 97725\n73694 94378\n2224 61068\n13607 29741\n79942 85752\n12547 90972\n49935 57856\n67044 82448\n62772 69499\n3072 97414\n48620 97189\n30152 70747\n5800 76338\n22426 63763\n25582 96465\n14542 49746\n63283 90261\n48659 97875\n43505 53027\n38268 50123\n34365 55048\n20041 51196\n47663 76589\n28773 60716\n14772 83990\n36577 49545\n5978 26160\n23975 42268\n34920 97105\n17586 34741\n13226 58851\n49450 88984\n69986 74859\n30725 34784\n56920 76686\n59020 70497\n57513 65830\n77684 83576\n23116 58906\n43586 74149\n69562 73457\n5901 59381\n38537 97246\n5140 36590\n18967 93218\n58119 62469\n33483 62752\n20304 97916\n41680 83443\n66630 92869\n60234 69696\n37359 92776\n29529 37649\n12204 75504\n6735 52662\n36728 49315\n2132 97502\n58396 89560\n52211 80400\n30282 89516\n59659 88088\n43956 97033\n76040 80589\n90494 92933\n14137 46581\n14163 30748\n72098 76168\n17757 47298\n56681 80204\n40319 76543\n52408 96748\n8454 95245\n50119 52672\n16718 23226\n2717 27829\n80354 84021\n30348 69784\n84750 85530\n47339 53587\n33955 50852\n28158 90964\n16814 73503\n4745 10403\n19414 30710\n1222 36162\n52982 64210\n25207 78185\n9236 97213\n53568 55093\n48521 81982\n10087 87363\n55256 58776\n68666 89947\n93018 99156\n45667 58777\n17732 67988\n23144 49949\n19458 47815\n87112 98491\n1419 93047\n20908 35823\n6755 98079\n12588 17729\n30259 34528\n71900 73653\n33015 85646\n44806 64408\n15264 94408\n26782 91696\n68677 78260\n3539 38825\n32003 83993\n11069 99164\n15266 80229\n78605 90245\n84039 99092\n15000 71003\n44790 68132\n19632 90975\n55448 84490\n52390 88326\n64730 80980\n695 40407\n63988 71779\n17064 54435\n35075 83449\n40827 42573\n44092 92975\n20132 57076\n12075 23487\n56511 98479\n33224 43074\n37209 64374\n61387 62711\n454 18966\n31887 34139\n31499 94043\n46848 54601\n13271 59161\n55722 96272\n65081 91526\n60050 82769\n59077 77151\n63002 70212\n2878 74248\n10751 87083\n69177 89728\n55428 81908\n38935 51844\n95756 99583\n59801 82497\n61627 86471\n34063 68791\n84817 99530\n43312 57197\n31308 54348\n9539 22781\n5193 15193\n42805 81640\n55344 78927\n8144 54446\n32463 59744\n53862 97711\n21827 71902\n46902 69474\n34888 41503\n24125 26166\n35337 80367\n24093 80356\n9628 50046\n5142 20652\n61503 71426\n26394 56698\n4786 5157\n20337 58152\n3153 24126\n1191 45881\n23245 38995\n52269 67583\n54938 83170\n16940 92613\n33482 65507\n11370 25152\n61573 97676\n53135 57912\n32870 66613\n33129 67681\n6813 94162\n22937 92356\n17697 39445\n10552 24902\n12681 59964\n33026 67752\n13414 54054\n7703 94493\n39618 71695\n85337 94598\n9480 64745\n20816 66250\n34159 88148\n15657 78809\n75262 79157\n54052 55830\n45260 77168\n50743 56332\n8141 43122\n35230 95116\n37955 75377\n80497 85754\n10138 34064\n2159 67883\n30831 97472\n30442 37842\n2072 17528\n25420 67166\n8934 38475\n14937 70149\n7784 89318\n47829 51597\n61985 87547\n36226 45449\n40014 47054\n75792 83137\n9767 30313\n60880 99097\n12442 17597\n9535 80771\n16518 20634\n7376 91451\n26136 41856\n30920 73309\n36559 81800\n33707 37121\n32648 82761\n46368 97434\n25600 29814\n3756 22839\n37816 79749\n57373 65041\n40339 79879\n57859 81431\n41466 63168\n6923 71303\n40258 62887\n6297 10153\n27460 54509\n19462 37334\n22036 62529\n17069 20844\n61347 78774\n25838 94133\n30291 63641\n26294 72830\n12387 85640\n63470 79587\n9472 80136\n26448 55129\n32180 41298\n55293 74122\n48321 92723\n14889 85506\n27459 45012\n7107 95285\n41328 97552\n55162 86382\n17867 94153\n70214 93598\n16302 29934\n34523 75451\n53120 96781\n65174 98569\n35989 86711\n37385 52610\n68020 72211\n62568 95760\n59854 84314\n83505 84289\n60341 87322\n81170 90054\n1032 20271\n33339 58079\n92832 97498\n10144 30086\n18225 82027\n2024 9821\n64631 86752\n12989 40079\n20278 48578\n23534 94307\n18408 31559\n15497 23634\n5742 77680\n55819 93992\n65743 71805\n10970 80668\n28391 95284\n14148 56164\n28968 32190\n26177 97701\n26551 44714\n63470 92563\n91267 95179\n40512 86974\n36385 73838\n30800 31186\n68748 92328\n13515 17380\n5212 40442\n32842 39746\n1891 3812\n12408 12963\n36598 39936\n15436 20464\n30324 71841\n11105 64448\n2586 72158\n936 33765\n79036 82738\n18707 24934\n12017 52190\n6606 62799\n62704 72641\n17862 29102\n51266 72487\n8452 84361\n60335 94346\n16360 43169\n24990 64106\n20509 26413\n4695 29606\n8501 98818\n4922 7278\n72116 98143\n8554 74505\n28801 53808\n719 32567\n82557 93047\n55001 84662\n9084 79537\n47023 58573\n42442 64011\n30142 50854\n58137 71539\n45690 71808\n21756 85097\n56087 83470\n18832 34151\n6561 51981\n10177 16358\n18794 84820\n53244 77769\n29224 38757\n55295 94023\n1409 10055\n54717 67037\n71275 77549\n40314 75182\n26126 74319\n46570 94149\n22505 72827\n76984 91293\n367 49661\n41236 63481\n14064 98112\n56175 73233\n65770 74702\n44335 84551\n17828 85190\n28287 71395\n10290 94639\n28180 86305\n39600 69055\n32415 97913\n77402 81606\n56069 83627\n10224 25008\n9913 70985\n67315 96543\n19345 43659\n19966 38914\n5444 84335\n24282 33414\n18813 52937\n2083 76363\n1320 38079\n25612 49555\n2117 53001\n7461 94902\n5801 65681\n15937 33446\n61190 99233\n13847 35448\n86385 97958\n18258 28329\n18581 45041\n1548 73991\n49612 57342\n18830 28618\n4983 29611\n1505 48078\n21473 71823\n19821 22221\n4406 78799\n46645 64083\n5767 28053\n33999 68568\n27619 35743\n69577 87189\n6938 43939\n18419 45236\n35985 87354\n9728 36043\n2804 12548\n49559 50226\n26226 96250\n30992 64306\n71856 79803\n31724 42865\n23042 49912\n1204 30285\n40695 67976\n66700 73604\n46682 82771\n65315 77713\n63008 89280\n45875 63565\n76204 80376\n2822 99281\n54029 84504\n41126 45766\n15869 50745\n31301 80958\n67922 80071\n15793 57380\n39199 71983\n21932 75010\n62515 78653\n38179 86278\n25858 82987\n569 641\n20021 87361\n13125 15199\n33803 58577\n2227 91591\n23065 98152\n17880 87020\n63837 74614\n19121 37141\n29596 83078\n46087 80327\n8196 78203\n25258 60154\n53321 79769\n66215 83202\n2016 38449\n12428 29226\n36266 48826\n684 27190\n25625 71725\n92879 95476\n52421 75774\n62085 69336\n9575 58158\n30344 54854\n3200 26681\n16933 31420\n66139 76226\n6155 33404\n47491 86720\n72060 86502\n25168 32250\n31358 96907\n93387 97064\n76477 95097\n39455 67357\n58943 95604\n21208 44152\n8861 56661\n32643 34156\n66053 83145\n52209 82404\n35478 92292\n7090 71553\n4446 16345\n31880 76783\n25957 28485\n43567 62192\n15160 63025\n38694 75480\n10230 67837\n59508 80377\n35 18764\n12095 79632\n88076 98067\n24939 30374\n4405 31610\n62247 86281\n6640 72908\n13787 90803\n4536 56579\n14305 95709\n57794 69505\n12066 82971\n32303 90378\n48143 52858\n19045 97190\n44346 60581\n6436 90123\n45432 99399\n55813 98936\n40326 83123\n72803 78671\n69521 84655\n49645 68821\n22256 79847\n2309 15335\n14251 30076\n48933 75571\n33562 69405\n18814 28656\n2213 28704\n34490 41086\n18354 47524\n20656 60989\n42394 71759\n21855 42782\n65107 90226\n17131 20873\n36935 46245\n6928 46214\n79 47612\n39022 85336\n9895 50750\n33132 77062\n19360 33355\n40340 51807\n15002 77998\n73005 88475\n66280 73658\n38001 66147\n32276 78726\n1529 37717\n26751 36845\n2067 5263\n329 60934\n25568 72499\n49381 96017\n75897 82310\n11890 25169\n2125 37462\n34088 99337\n42517 51404\n20797 72362\n37805 45702\n14774 45861\n67971 95501\n35963 75344\n15520 92132\n92012 96481\n2985 31912\n50455 94705\n24467 54235\n51182 82909\n6835 29828\n13600 65944\n39043 54336\n81575 99801\n42117 93520\n1645 9999\n28078 42126\n4105 30540\n1715 87750\n16707 90663\n9073 47498\n55091 89261\n9541 46350\n6719 24576\n11702 43196\n24464 52410\n80223 96327\n12983 56044\n55878 94727\n8028 60697\n27798 77760\n1750 13381\n3991 85725\n5776 31783\n43866 68043\n27015 95424\n51125 85048\n22517 29949\n26111 40383\n8997 58626\n35717 73145\n29950 39588\n66084 70091\n42515 58765\n41150 68192\n16418 22498\n28218 67739\n33929 63797\n1319 36242\n50679 69786\n33574 95299\n60826 81894\n14584 36369\n56632 72955\n2250 30773\n29551 93205\n54428 91027\n65649 77634\n44959 67236\n46807 55086\n4970 58234\n55839 67997\n41574 43024\n48735 48884\n20 88326\n5230 80457\n75672 88283\n9159 99388\n42828 85079\n16926 88484\n14380 70481\n71706 79037\n28813 72760\n34447 45301\n6587 6639\n7101 40998\n45473 53957\n77004 93395\n23394 95146\n21495 98944\n26740 75380\n25170 39291\n45733 77036\n6821 19607\n4896 83636\n39264 61660\n39409 61811\n13635 87132\n7118 75302\n8486 23124\n32836 45434\n6555 87770\n68613 76327\n47438 62079\n26580 68399\n66501 83207\n58504 71152\n5602 84101\n2844 84414\n15168 18748\n56953 85763\n49253 64312\n71365 89030\n28265 93465\n4026 53064\n4985 12522\n16858 28758\n6591 53533\n30162 82548\n29147 36619\n51077 99720\n18920 51874\n20100 33895\n10842 29993\n61944 62880\n74039 88666\n28666 60513\n35401 73936\n4138 16666\n22551 49706\n30341 71165\n62011 98600\n24348 48421\n58066 76608\n53977 63304\n8984 55059\n21653 77349\n60814 86528\n5009 41816\n47454 70399\n18708 95907\n25388 47929\n88706 98593\n9606 62082\n27328 83095\n51312 92704\n3927 43986\n28668 81691\n32209 83017\n33619 34848\n61258 74017\n67584 98413\n70422 95962\n21850 26557\n3672 70769\n2828 42929\n20861 30748\n12109 68276\n28834 51704\n22490 60459\n11986 75113\n19679 72612\n32086 40608\n26509 84369\n36131 77323\n67676 85985\n50032 61871\n51121 84235\n63204 86600\n12462 90008\n17046 36564\n1432 17286\n36488 50580\n936 14163\n43589 78774\n50391 52680\n29844 89157\n58992 63937\n42233 51992\n29164 100000\n15284 79676\n24426 89550\n25728 41995\n37790 58865\n73 81853\n3399 82061\n56553 72046\n10083 84608\n5938 16595\n36200 41935\n69889 97795\n77386 91531\n2540 47610\n80996 92278\n51338 60015\n89790 97565\n50039 95392\n21462 90304\n36253 40887\n10207 93777\n11419 48366\n32385 45363\n12131 54144\n3819 73627\n29562 89125\n84802 87081\n5216 67054\n36747 79772\n55225 85339\n73567 78302\n10888 27991\n64227 65652\n28089 69194\n11179 98026\n72 44705\n60456 70475\n34839 64983\n7463 19058\n25964 31306\n18355 79085\n74675 85157\n12734 94844\n28868 75238\n31678 33788\n53745 92900\n8920 98082\n34924 72199\n32447 68101\n81299 90701\n59811 94522\n18216 20875\n12804 37233\n38829 43016\n57507 59821\n82816 94061\n11899 72888\n16245 46966\n13700 19771\n33175 82962\n15632 28798\n57432 61829\n15230 49780\n57092 73463\n17294 96758\n78310 85903\n7536 47467\n81006 94588\n52182 88111\n15873 66811\n39200 54722\n30972 41898\n2433 51886\n45534 83462\n10144 50156\n30159 78013\n45526 56662\n46111 65801\n1274 50005\n40542 52589\n80070 95700\n21602 82394\n6002 49584\n23511 90703\n27210 34678\n32263 79553\n31904 39818\n34255 42534\n36371 92779\n9434 21465\n36955 41158\n6254 23724\n22855 89481\n49031 70975\n523 75216\n6411 26835\n2773 44166\n40505 53989\n11136 36125\n41728 99969\n30225 61844\n13755 44505\n66839 80085\n7508 97758\n33693 69315\n26960 47150\n30047 86476\n1932 88395\n83733 93146\n7886 45338\n48954 80424\n59966 93090\n79600 82134\n37522 86220\n34713 54442\n25969 51759\n36890 98848\n53374 74350\n14985 60484\n29099 83075\n52256 77894\n6751 22921\n20679 65449\n33121 53681\n14901 81056\n9178 69523\n42317 88137\n15366 50531\n11182 53523\n51 12356\n28833 80475\n87882 93019\n84377 90699\n61586 67869\n35089 61788\n55487 95051\n35548 56181\n40640 78306\n28090 60511\n37131 68502\n65084 66886\n37526 75051\n7102 26964\n17890 18342\n50206 80187\n62129 73544\n16455 92236\n19964 25566\n33276 63607\n27232 90006\n9735 56493\n8945 68957\n35351 57062\n31569 41285\n44023 47701\n1106 5543\n32959 78834\n53094 95541\n53039 73742\n23700 84982\n58240 67748\n53746 64428\n46652 86266\n13116 82698\n52261 99243\n46137 87308\n9741 71187\n42670 53226\n19235 34627\n1670 54485\n25797 78140\n13563 94305\n9926 18867\n91555 96242\n11835 91348\n23740 30155\n89936 97513\n31269 59387\n27453 46571\n17716 59131\n30999 71742\n26120 32127\n25145 61404\n47949 57076\n2398 65297\n10580 31867\n10553 62962\n32070 75970\n2664 82947\n57116 65516\n47602 49309\n3051 94100\n13377 51249\n23274 76916\n25990 85240\n46685 70008\n47230 85234\n2856 48079\n9809 52246\n33196 48072\n4313 6563\n16296 33541\n54358 75061\n13872 15438\n13544 41321\n12206 97276\n5225 71360\n20106 71419\n82790 89983\n34631 66591\n30282 75720\n43587 86900\n40422 44806\n3071 71773\n1103 55341\n2913 8790\n16550 89797\n9665 15780\n8438 14862\n27151 78270\n26080 26833\n17985 87859\n8496 50203\n15383 16133\n78852 95977\n45448 60230\n7789 23781\n21771 42550\n56309 79430\n41713 99968\n23079 38885\n89202 94946\n9304 39079\n20589 76086\n70226 99421\n5350 63518\n26234 86393\n27363 87183\n63146 89765\n74185 88413\n32874 93109\n46576 53508\n27740 46655\n35296 62947\n746 59727\n5359 50937\n9306 52655\n1508 39497\n28763 65376\n38759 86006\n17158 89089\n47901 88338\n14406 38842\n41069 64042\n34578 82265\n58878 92719\n21305 77991\n37873 65736\n30061 84389\n51360 60326\n3328 89364\n25453 98045\n36281 91337\n2362 51859\n47415 98030\n49258 68745\n64486 81740\n77721 78300\n20188 89088\n13513 92680\n51243 92490\n48270 70544\n18507 76412\n7356 38688\n44649 73356\n22885 72448\n16325 41954\n38413 38678\n36669 95350\n4087 9775\n32226 86600\n27062 46727\n7884 85356\n39271 91038\n35102 37450\n28998 46586\n52084 92044\n37669 84111\n37674 89961\n3337 48327\n51686 84250\n58339 59841\n35209 57977\n15191 52703\n42334 95224\n14873 69244\n43372 84517\n15397 37996\n24322 50863\n59820 92919\n20348 42622\n23264 89505\n31048 96767\n53736 66504\n24536 43614\n34932 93588\n41555 75649\n67990 71022\n45968 89848\n16401 73161\n42361 94314\n5645 27716\n14579 25620\n48917 83351\n78790 92366\n66152 75455\n79479 84275\n36822 74459\n33133 76834\n35418 85506\n36401 71893\n20339 84528\n70273 91742\n27219 44275\n9401 86271\n4974 86925\n63820 88842\n14302 38492\n4707 19002\n9062 78967\n14915 92978\n16211 22402\n18339 45093\n42676 68636\n25202 76585\n45575 70233\n25896 77443\n36864 82357\n4202 42973\n80051 91857\n32974 59382\n33164 85019\n62931 86570\n15026 67110\n22245 90103\n79498 84847\n39581 73129\n51093 63059\n5035 72517\n11076 94157\n17926 53369\n56502 92034\n44073 75233\n19853 50982\n3140 11886\n638 90621\n69018 95686\n89323 90530\n63867 96509\n13471 92618\n13535 62563\n33778 91681\n34020 39874\n24718 61880\n23047 58238\n28431 74014\n31181 83396\n30048 55170\n44575 72128\n752 56207\n83034 84948\n39865 41928\n75860 96586\n24450 37057\n34757 73193\n11898 64787\n11442 63363\n26683 49226\n68065 75890\n23161 80748\n28159 42710\n8830 20494\n21702 52780\n78178 99436\n13978 30656\n15481 18357\n29156 94243\n55758 61831\n17955 68149\n21488 95413\n14951 84039\n5879 26514\n33247 53844\n24173 88538\n11212 98695\n24330 59423\n56548 66310\n54689 89996\n28932 71292\n17100 32177\n19873 58255\n12997 97624\n19954 79151\n22935 23381\n41171 56072\n74861 82264\n66733 69970\n37343 41990\n3521 24108\n4357 83654\n53331 90992\n88518 93631\n59728 69394\n37473 99929\n2766 87992\n8758 24301\n76764 87516\n49532 69637\n18302 85146\n8821 87961\n66728 78540\n45224 85056\n45597 94815\n12798 59165\n19415 40041\n5021 30060\n43433 67909\n64107 93734\n78177 95185\n78046 88618\n40072 96852\n52855 77610\n62935 64170\n4405 93010\n16004 33896\n7411 25107\n85821 92314\n37228 95189\n58541 98921\n23977 95635\n44512 84201\n10094 58670\n6489 81494\n7542 50808\n1229 46343\n14071 26569\n15468 91524\n39074 60122\n27610 42343\n7719 68682\n5286 13080\n11808 23657\n52955 80173\n15323 30398\n55060 97034\n4317 15000\n69399 72563\n7354 42711\n64884 89635\n29867 81836\n1172 32113\n24751 26475\n19094 45262\n64245 80677\n72834 81268\n2074 95399\n43948 47394\n38776 68366\n20359 90622\n12799 35618\n98810 99315\n93271 94072\n22478 75993\n1649 78008\n4139 76980\n32782 97153\n25067 56131\n40719 64881\n54614 64633\n44687 92815\n2303 84327\n15146 75537\n11759 49253\n60641 94614\n7594 46703\n7908 90296\n4996 24783\n46973 50748\n22932 52759\n65636 75023\n48358 76131\n3655 81149\n40429 47436\n70552 80106\n816 99616\n23768 85376\n53067 79712\n4485 74577\n48732 56537\n49291 53667\n38545 69326\n33691 62046\n90219 92763\n79758 83001\n49468 99771\n20509 44183\n44817 99014\n55880 98288\n1187 55144\n39328 75197\n28687 89283\n1049 51528\n8225 56514\n28751 47877\n20031 29062\n18337 57687\n20697 32396\n57977 97588\n10273 13870\n46690 71720\n43532 93644\n57770 84115\n11442 20639\n44596 71236\n50323 83590\n72925 99233\n6490 30450\n33441 33971\n45100 89331\n49955 57751\n86023 87929\n11770 43711\n17385 45063\n61358 91865\n10215 56731\n31008 56628\n51740 51746\n71423 99270\n81419 98553\n50171 70912\n8786 37601\n16597 40312\n28313 69251\n33134 35128\n13505 89125\n92671 96319\n33884 44631\n33433 94450\n96033 99069\n70816 96068\n27473 56534\n52875 92158\n79949 90348\n32732 39390\n15019 22885\n16307 69878\n36920 51482\n53284 54551\n35968 78051\n23197 42178\n11141 98166\n60189 83689\n13449 27950\n58268 88956\n13019 53197\n76165 86588\n8112 30377\n42254 86628\n21524 52868\n31219 80190\n72706 98719\n30268 75710\n2168 56102\n61521 99250\n36074 42608\n66846 72310\n57353 97890\n72791 95968\n35182 66630\n23077 25826\n63376 92107\n5626 67813\n7522 22884\n65715 84331\n64683 86409\n65056 90030\n21116 96744\n45594 50651\n15382 24775\n49594 77293\n2771 61752\n82488 83725\n16081 79414\n32132 70975\n25133 70085\n3228 48984\n4015 58384\n25267 30356\n48225 49167\n43961 62468\n37725 42154\n9064 58257\n9669 61479\n37152 78983\n69708 76857\n16443 77710\n6818 57300\n22464 67317\n34586 98503\n13504 81030\n22364 84039\n26 94192\n76843 94267\n37945 41131\n54748 72432\n3650 45537\n20844 41697\n79811 94281\n41965 43312\n44005 82233\n68817 77525\n16870 58760\n43195 89105\n57611 77567\n73515 83466\n31514 40551\n50055 65261\n50436 57705\n68135 79983\n17066 46025\n11601 63559\n9641 85807\n3240 24994\n18829 78373\n28326 30277\n64519 76545\n8884 32248\n31207 99451\n9639 29224\n69173 73311\n29328 43789\n5235 99895\n9003 41489\n51079 91761\n37686 59887\n13235 32039\n8210 34425\n77148 82854\n65362 68328\n21428 36909\n14843 51213\n27319 56516\n80413 93394\n9629 46315\n46276 94503\n62702 97442\n78560 83559\n64045 68506\n21860 34673\n81551 90829\n30834 74074\n34694 60699\n14010 69030\n56733 86776\n14872 37028\n3722 84691\n51883 85532\n91266 91781\n78561 96899\n26205 68390\n25814 74476\n26384 66130\n46388 90387\n37346 98407\n74793 94077\n5186 70294\n71536 94296\n2469 54897\n66784 67711\n46449 85285\n77277 87955\n8608 48837\n46396 50159\n7354 47691\n93029 95301\n13815 92106\n40968 64570\n44805 75318\n57495 88419\n36228 77935\n2771 47518\n47777 63163\n4381 50871\n29375 75008\n37517 43548\n8119 82327\n63692 70046\n67672 68504\n9240 97993\n19697 43718\n58235 69382\n16632 50836\n14655 69760\n372 77437\n10378 60651\n9569 35611\n51885 87649\n40008 97843\n19518 20442\n64351 92020\n13460 91189\n33926 37892\n60889 68787\n46417 63311\n34291 79042\n11586 66682\n24440 31494\n56843 98761\n526 44054\n81671 89095\n19846 76248\n7789 9035\n35970 44977\n14942 56688\n3191 91536\n22203 60505\n84158 93083\n21048 50275\n16317 41376\n9154 70886\n36345 78880\n29878 80376\n10638 35772\n12315 53088\n60390 87251\n69470 94392\n10645 79495\n2493 85054\n68950 73940\n37367 51395\n42296 44843\n46432 94037\n22058 27352\n34 99334\n35993 43368\n4402 32646\n9178 43295\n16564 19481\n15357 47164\n22942 34346\n3274 20988\n8625 24515\n67819 87002\n82344 85406\n33256 56375\n18579 23773\n12615 63597\n15031 83226\n2277 13093\n5927 66457\n76799 77234\n14427 42238\n43570 75549\n34498 72594\n53706 85468\n4664 60292\n11941 33104\n40031 91323\n68347 75284\n57629 71040\n8631 64090\n10478 61878\n29651 83078\n25378 78240\n45959 98483\n24674 49077\n29240 60878\n28067 90368\n66429 97105\n72564 83323\n11472 68899\n88096 93012\n34216 42244\n49726 81911\n50689 84795\n76536 77544\n62010 84272\n47591 92480\n47478 98500\n65105 76717\n70135 90892\n79218 92579\n23998 40818\n13258 63695\n48482 73296\n57768 96850\n46626 71777\n44578 99590\n39384 96435\n7150 68799\n8807 18971\n52298 53995\n66501 75935\n372 10698\n25472 33770\n63330 88102\n34989 98605\n25787 88153\n42876 97334\n48039 59527\n17468 97154\n51375 97924\n88422 98442\n16572 20611\n36301 44652\n67485 78070\n22843 96741\n24580 30174\n42072 84546\n9019 68799\n37907 53492\n28016 38936\n18425 47091\n13811 23318\n42251 96234\n66191 88016\n10174 68958\n30989 60416\n5211 65316\n15879 30337\n11012 64333\n51783 79149\n17490 20976\n5608 9555\n9750 19524\n44574 55017\n71102 83878\n1292 68418\n31934 64939\n47722 86697\n25229 60654\n923 50041\n30488 99310\n9944 35977\n58776 59013\n51515 53136\n13937 39832\n39976 61488\n17046 44796\n29900 60535\n57790 60355\n12239 87745\n68480 77074\n47199 96458\n76313 98745\n16806 56198\n47172 80171\n35649 60673\n69742 71470\n61051 78977\n33999 66798\n25478 91814\n24401 48493\n77393 82035\n27098 87560\n2729 31099\n35708 42906\n1167 57180\n80283 80573\n33062 51390\n27399 72569\n23900 85324\n25392 61539\n4403 30954\n47258 64807\n65343 79982\n5753 84749\n56898 79299\n12056 96619\n50864 86045\n1331 41441\n52168 98352\n6667 23757\n63740 67227\n34493 82010\n45501 51922\n36068 59870\n77246 95364\n34228 63324\n25735 93557\n74347 82710\n49627 75089\n64579 85038\n18923 33302\n461 78238\n26272 50625\n69840 90281\n51660 95484\n58476 99503\n19966 28331\n27029 91578\n19317 46574\n11875 18577\n46344 62121\n1951 7986\n15729 98031\n1705 97127\n54684 66009\n27016 32848\n23668 39089\n18319 53845\n31188 66507\n56147 82104\n4956 61574\n60108 83750\n60368 83194\n52776 84734\n57523 61662\n21506 41895\n62760 93824\n13296 13995\n50634 74912\n10965 66561\n88649 95609\n12016 55981\n6735 82012\n23987 48702\n33913 50704\n89165 93840\n1756 81939\n708 2138\n55181 66672\n44787 64945\n52500 56073\n15022 88799\n75708 97705\n41303 95173\n32071 37011\n26622 33764\n36998 85849\n59367 92103\n38839 79320\n2868 21638\n9280 99000\n40045 60763\n41680 54232\n50087 63320\n22659 68522\n13216 22061\n14960 93137\n13836 65688\n61000 94254\n1029 40406\n17027 85527\n6113 78533\n44990 93932\n9852 31437\n45163 51095\n27396 60632\n25240 94780\n48134 86460\n38053 75415\n17787 79896\n3606 99864\n5150 63522\n7687 62247\n73143 82588\n21481 41414\n50260 53566\n9568 74490\n23726 75275\n54876 70847\n19562 26882\n32585 83915\n3170 92214\n10881 70637\n38668 43059\n25640 38188\n33528 71683\n16609 46691\n14870 96823\n150 27009\n20276 26888\n66715 95605\n56357 81540\n79018 80052\n46121 55600\n14588 83286\n7346 32356\n42131 56643\n18867 88123\n13966 34008\n56987 99996\n50370 85313\n46871 93648\n526 64547\n24277 99545\n78031 82022\n9223 22934\n2686 25375\n33608 34925\n83724 95320\n7894 20340\n76616 96174\n11466 63031\n43457 87992\n44393 61796\n18482 64077\n53807 56528\n53942 82883\n62539 85012\n12603 60222\n24332 63534\n31925 90409\n14131 52846\n23567 35942\n7315 22894\n49254 79056\n34892 82241\n15445 18844\n72119 87450\n6939 93648\n40457 68354\n2656 3861\n72886 89810\n3640 77572\n61626 72452\n36064 80707\n16100 59562\n19084 42757\n21978 84642\n15633 63626\n25604 25904\n17519 62117\n75661 79745\n45926 69280\n46563 69670\n56091 73189\n2825 98225\n4802 43085\n47282 65221\n24694 59179\n77709 92918\n53204 76751\n48558 74407\n40688 66368\n41865 68022\n43143 95259\n41998 73101\n815 98284\n7122 50112\n76105 79018\n9538 53575\n11019 83862\n52548 78310\n58861 66109\n34536 61140\n35178 90608\n14755 59574\n15547 30812\n7120 89529\n14833 40777\n23636 36468\n33223 79236\n890 90644\n37591 52083\n2370 9459\n28311 94761\n16999 20542\n16420 91504\n142 43665\n32201 84924\n22968 53642\n31292 96333\n31073 40582\n48502 81162\n58723 89484\n55810 92432\n21492 52223\n660 56343\n54614 63739\n31733 49652\n12613 32189\n46947 62861\n34412 69936\n21710 72984\n73932 87849\n13842 16838\n38722 78674\n33107 69818\n15286 23099\n24242 33949\n3335 70729\n11783 51744\n21771 90814\n14065 65455\n23895 96212\n12168 75731\n90417 98329\n39115 61973\n46970 78026\n29088 93394\n49220 62276\n3749 17401\n13278 66621\n90540 92372\n76220 84889\n39487 40476\n82713 86848\n22258 26593\n30146 63239\n35811 70475\n54383 94984\n3946 44827\n16600 83755\n27874 47265\n6253 37334\n28551 77356\n26251 34668\n30011 86639\n45166 79389\n43711 57465\n36406 61350\n6019 15130\n1754 98279\n51022 66397\n80847 96351\n3602 58588\n79501 83420\n47490 61802\n1514 23892\n53041 93401\n61020 73205\n34818 79806\n38933 96358\n43093 85839\n16274 50773\n86486 91936\n24995 85137\n27357 29514\n9756 52933\n35130 91839\n15308 93763\n32355 63266\n37589 71460\n62527 78626\n5391 95344\n60086 70463\n76882 78043\n9505 12207\n74620 84322\n52621 93369\n86359 99345\n9279 58137\n25852 62180\n37540 43442\n23193 38509\n54034 99364\n56640 96558\n87680 92348\n44254 77411\n12823 22311\n38016 84160\n46346 81680\n6752 74047\n18537 46625\n6503 43514\n31373 79006\n30991 81892\n73130 81380\n8734 67412\n21673 58916\n75413 97140\n62409 63247\n59825 85950\n58473 69752\n44822 47822\n54310 66161\n20592 62258\n11902 54724\n15855 54579\n10766 99072\n21646 70241\n3180 86791\n28466 57204\n5618 87560\n53049 53331\n11369 12832\n31834 39458\n58316 95908\n10887 83489\n17881 30079\n57732 87745\n23009 65418\n1254 32636\n5623 30356\n5037 8456\n19379 99441\n49870 84864\n51523 94378\n183 49017\n50674 95861\n33342 38436\n39431 81677\n71347 79025\n8296 39678\n60192 61315\n10372 65298\n44823 53637\n9920 22022\n67858 96935\n49711 72128\n5037 49766\n67934 76937\n22014 84639\n17639 57686\n30376 53381\n25969 73497\n81788 97605\n1399 48054\n45526 63869\n27097 75810\n7039 8244\n48785 52920\n1030 63498\n18368 28996\n6464 10177\n42541 84587\n4163 13410\n41370 93304\n48385 74280\n15857 83788\n448 46585\n43997 62349\n29832 40070\n51981 68575\n929 76871\n31718 54001\n36609 77054\n78335 87583\n44497 76872\n45316 93396\n28345 76142\n27784 71141\n65489 71423\n37865 83358\n12646 41879\n19469 39561\n26893 60776\n63777 84697\n23079 55090\n13200 55688\n8686 72500\n10410 47379\n77 86669\n29642 66064\n8770 82467\n56767 61377\n22457 44987\n23069 88426\n1244 8796\n11819 83206\n24204 25312\n73269 80944\n43355 89185\n32533 98922\n64786 69406\n55675 92780\n42171 47551\n21088 38875\n51007 80314\n3151 11965\n54025 81448\n38577 50883\n54967 85164\n67011 67522\n12628 99531\n73384 83245\n2886 26652\n48994 75172\n24191 50463\n23020 74559\n758 88847\n69035 85892\n16377 93950\n58833 59115\n56582 83348\n9920 99688\n74749 98099\n15136 76490\n4991 12128\n9399 80785\n46038 84530\n15687 43817\n26936 63697\n43968 79990\n48490 68502\n8428 93585\n22615 75066\n43818 46798\n14437 72060\n66187 81580\n20938 47525\n35689 86651\n34972 78228\n43628 69121\n21108 28750\n63246 95677\n13030 94132\n24382 95474\n442 11103\n14201 23407\n41911 80793\n26916 76143\n64579 85141\n9659 38119\n86175 88309\n26991 50906\n82287 89002\n8 92989\n34159 84476\n47255 92662\n11210 29263\n35202 48472\n14763 29373\n48723 74291\n22101 25010\n20282 43233\n15401 59222\n15620 80805\n61800 66988\n14 59460\n28576 57583\n25944 94158\n83261 98892\n62347 66215\n13775 89731\n29825 64881\n43940 63136\n6241 92334\n40445 83183\n35060 81571\n26794 40601\n26779 89515\n14940 90248\n2846 48246\n43953 55218\n2490 39035\n7189 56124\n9756 31181\n6942 60706\n57634 60494\n20809 40614\n34857 45168\n42891 68318\n88686 93449\n30487 92508\n45820 55780\n69548 73125\n52344 76844\n21444 82390\n865 66676\n10875 44136\n30050 68414\n30917 59047\n20157 87938\n274 10107\n16932 49591\n12924 82914\n45362 94599\n64654 82974\n68393 97140\n4474 79017\n35891 87508\n34256 90445\n17287 89369\n21500 36246\n21505 84905\n31146 67564\n22194 29119\n17676 92456\n74426 96355\n45288 96999\n34923 50433\n86084 94142\n58240 95934\n52966 77047\n18659 23561\n1050 76939\n46118 98995\n49215 80503\n31989 85965\n14582 53835\n19617 56643\n20331 75706\n40729 43204\n49109 61117\n37008 50806\n72661 79040\n64930 65568\n69882 78993\n64827 93360\n5733 72662\n57929 88544\n28594 28860\n20342 71116\n38993 61522\n45183 66289\n52856 65796\n31607 44942\n42686 43596\n41037 55785\n17929 95025\n14457 78874\n70696 87364\n69836 77557\n26336 71204\n39759 69624\n23443 38681\n55271 92099\n14105 99678\n29324 87590\n45770 79302\n8449 33252\n33072 55455\n7604 31910\n11935 43258\n58690 74044\n27961 95954\n49334 67955\n72692 81418\n19525 96277\n9172 65809\n56532 68425\n38805 63355\n41616 47940\n15247 40626\n12311 63439\n563 53832\n29435 31189\n9676 98106\n11547 86069\n16834 33931\n37521 63029\n90580 94393\n26502 72641\n65121 78644\n21979 66389\n28927 65829\n23890 61764\n29678 44521\n3556 83344\n3831 47838\n22922 51726\n82999 94861\n12867 70309\n40175 82497\n9995 26092\n985 14926\n15618 48071\n12813 28768\n66551 83973\n83333 86230\n94752 95899\n2896 7872\n14049 30420\n4744 10906\n62183 98505\n46896 96210\n59446 60075\n81228 81645\n55523 78178\n11529 84447\n17973 28933\n28573 31989\n1717 29283\n42359 50657\n52695 73831\n42092 44546\n58503 62855\n85883 92311\n13851 19077\n550 79077\n44208 99706\n10259 37967\n63526 73336\n12902 71465\n87925 92823\n8341 68518\n19185 41807\n60937 73864\n5099 69054\n35202 66448\n51245 97082\n63661 67948\n53709 63020\n474 9492\n65749 83277\n20387 63939\n52165 53142\n15052 87659\n2746 38683\n22751 92894\n63937 88256\n15189 71293\n36337 44360\n76549 81107\n60192 93527\n56696 76978\n47975 79012\n4169 27383\n52475 67585\n48448 91724\n40907 75019\n22817 31865\n9990 78121\n50103 65454\n38431 89397\n11264 80371\n95394 96416\n11203 30420\n14939 19561\n22370 38836\n47264 62882\n96750 97463\n43782 75266\n26241 33997\n5380 67830\n41107 80090\n32154 32200\n18511 36216\n33242 83108\n8251 31768\n52722 75071\n39993 63843\n89502 97931\n25792 91083\n49280 65108\n12325 72980\n85340 90871\n46770 52514\n38043 51885\n24165 60503\n42063 67469\n51692 66712\n40110 84145\n80843 96523\n17203 65781\n66642 83062\n32970 55334\n33539 64388\n9009 14024\n46620 93892\n28520 54192\n3098 91833\n18103 40256\n19800 51975\n36937 97061\n39353 54182\n7181 22166\n28852 43894\n10035 96667\n43786 46096\n39978 89850\n2839 82342\n12521 50073\n57937 92848\n79208 82505\n75759 93671\n49699 55630\n55103 81182\n69531 96479\n12338 51934\n86214 92103\n42584 58964\n39810 81219\n20724 82830\n39169 67865\n9108 20685\n38356 42992\n1926 9886\n68391 81189\n53852 96468\n70832 99765\n15646 90980\n5058 71110\n14998 43639\n5959 69388\n18764 98620\n52666 83537\n53110 65416\n22420 48329\n44081 74339\n56122 72387\n12387 78036\n47591 80071\n8759 80823\n21536 34755\n47560 68245\n78963 94067\n30047 49015\n79232 92128\n3075 54225\n41875 85073\n22812 60413\n91540 95892\n47869 89916\n932 76408\n64828 98294\n10099 32206\n67792 89302\n19350 25449\n15468 56286\n62880 71083\n31653 87071\n58481 59913\n28575 66081\n9234 53067\n20908 47731\n25715 71507\n6341 81241\n27786 66618\n1314 43761\n10453 75158\n22618 70033\n70758 99926\n43008 49058\n44739 92629\n59876 60683\n11552 27086\n65198 75849\n50490 85809\n10754 39506\n12783 68541\n32828 75285\n17909 78214\n27051 83647\n72784 85526\n3913 4741\n74822 84182\n78390 96044\n10402 95910\n36691 87400\n11665 19569\n25281 35805\n52241 76697\n40133 51958\n28285 85356\n37296 91992\n44159 63415\n9704 41504\n13610 87495\n4275 98433\n36963 48345\n32938 80622\n17333 94625\n29857 46685\n62600 90823\n47584 87177\n74261 82057\n60345 61964\n48993 74679\n51011 75376\n42668 93922\n53873 99797\n45672 57226\n17993 39104\n63625 98394\n88142 89522\n22281 65159\n3615 87845\n33646 97031\n59362 80049\n37832 91356\n6176 70433\n49456 87571\n75301 96697\n42270 66998\n14328 28583\n25449 96972\n13398 88220\n17251 57108\n275 55530\n41840 44412\n46948 84887\n8015 42088\n52080 61877\n19819 27796\n7066 15937\n43124 59055\n73917 94534\n4109 4526\n1772 41542\n3216 50685\n926 19050\n27935 61900\n45153 59036\n14334 77848\n38197 44322\n18281 68670\n15968 30422\n54792 74274\n24707 72076\n68240 75243\n12125 29753\n57411 63766\n74070 91031\n78214 99086\n73092 73369\n49172 49231\n17322 27687\n33122 56704\n48971 85966\n27858 55917\n2970 87767\n75035 92985\n65871 85534\n14290 62791\n15056 67184\n11879 19604\n10149 20373\n66491 70010\n33176 38540\n14643 79280\n85696 91406\n27199 90959\n44835 82379\n14928 90720\n8368 90069\n5175 74314\n3379 4945\n22069 95641\n5306 18974\n23978 64775\n23250 27995\n15991 83540\n39141 83153\n89779 93278\n53549 76887\n60807 92358\n3775 79012\n17456 65486\n78815 98994\n87022 89264\n1741 5338\n28321 54061\n59801 80860\n3967 9166\n35345 95233\n18040 84902\n49848 91105\n10783 70408\n16274 93582\n14673 90035\n14814 82860\n2378 29937\n7622 62692\n21057 72021\n12490 87728\n22777 58159\n88804 95495\n80328 98707\n20574 82332\n49435 64542\n24538 44386\n14719 95271\n60937 91419\n25604 49160\n13 14248\n59647 64946\n7111 82093\n30720 50503\n42584 83891\n50511 91649\n52826 83978\n57803 63201\n5352 27974\n52799 98630\n47268 84419\n57692 79825\n47419 77584\n31575 88537\n10653 27950\n17692 61811\n91239 95879\n30339 54126\n14633 28136\n82463 87235\n65885 92864\n4339 88286\n35377 81047\n37491 42259\n8333 58629\n40898 74326\n52463 90139\n62470 91128\n27399 88138\n36184 68631\n23553 25295\n29474 82190\n29404 93327\n57264 64764\n38519 78626\n59893 63059\n18828 31585\n35815 56368\n35304 60672\n85727 97246\n64750 81761\n54442 68872\n79996 89954\n8681 52204\n9316 54996\n21978 61736\n2755 57088\n26702 43288\n6087 7824\n7549 15823\n23955 31811\n15091 33532\n51555 94304\n77869 86248\n67243 70057\n68600 75918\n27547 45277\n14675 22050\n38384 62194\n46803 87438\n44059 46345\n24108 65898\n19966 38496\n13910 32228\n25068 67258\n36733 91922\n77985 79734\n15158 78668\n82284 92414\n13042 96443\n34391 58810\n81709 82988\n36583 85553\n31413 47835\n20976 24419\n51132 57035\n21266 90968\n5170 67360\n26304 79710\n43052 75852\n71584 97724\n85753 92292\n81023 89770\n54786 65796\n88529 89910\n76603 83717\n2447 14755\n604 29569\n24396 67698\n3915 77800\n61330 73527\n50200 75256\n72025 85354\n4031 49762\n21405 91550\n88916 98311\n23721 28834\n17067 80158\n26608 46704\n65672 70507\n30015 51235\n8566 42715\n78668 85702\n63906 81468\n4104 92424\n24368 75213\n43115 97578\n5308 61902\n4930 13429\n63838 96964\n39775 61992\n45032 98712\n69171 83255\n62335 62935\n48468 86327\n9 18995\n48699 64998\n26835 43994\n9767 10187\n12967 69906\n37721 89955\n38579 66408\n9752 49075\n41276 56702\n77378 81476\n20413 58108\n23709 26702\n9940 81801\n70778 80974\n52977 79944\n19953 97832\n27027 67332\n7204 42065\n44376 92749\n3595 62922\n67242 87966\n38931 71042\n4774 25195\n25274 99902\n66277 85915\n79667 84948\n46206 87542\n17830 80512\n52619 56628\n24688 87050\n78464 85974\n60761 69625\n30936 52389\n34370 57415\n23764 55829\n20868 34567\n74344 79651\n44931 66072\n16749 64821\n34502 76792\n22659 83634\n35461 98326\n38059 39112\n15356 65840\n31232 53872\n52070 65002\n72368 73581\n10353 59827\n18970 76852\n49453 60453\n15812 16202\n74736 89100\n31227 78341\n81414 97535\n31857 44368\n2194 28193\n45970 95497\n29829 36438\n7481 73684\n10525 84131\n37103 82645\n54728 88714\n36371 70671\n46461 53389\n7627 12719\n2205 47921\n36092 88182\n45465 54762\n65026 84976\n5317 68847\n68583 94448\n4602 30713\n31111 77179\n21367 28068\n20218 23315\n59128 86334\n12598 68560\n46622 56445\n52033 92284\n10428 39745\n55610 88398\n8413 57980\n61668 71040\n31727 66363\n32350 38941\n19067 88670\n77040 99052\n28648 66940\n27278 47409\n5739 88463\n44391 97769\n35563 66958\n4731 15525\n45875 52362\n73151 85574\n50594 71935\n24338 49540\n47322 81638\n5595 94958\n61735 79064\n69815 74913\n74763 81634\n5061 42351\n79220 93616\n55609 61508\n56857 88942\n42969 93013\n38817 39241\n9258 16505\n75798 82648\n5616 64010\n21436 73700\n33958 93372\n46947 94832\n33736 73078\n18925 28919\n82159 97929\n11190 23179\n2916 74424\n35708 79969\n30441 63297\n74602 77252\n24899 62792\n86719 97914\n18221 86032\n10900 52581\n70610 81183\n16782 80909\n7621 87042\n31456 80862\n48177 76506\n77707 96840\n62450 70284\n60276 87641\n65945 99891\n12770 49044\n12938 65093\n29273 60640\n19578 71118\n45789 87813\n27242 70256\n28955 66927\n54456 88230\n846 97036\n36086 51518\n59362 59786\n26236 90666\n46753 47309\n20561 46977\n12583 63127\n38347 90359\n18374 92278\n37089 65297\n48352 57465\n53350 86379\n66606 91870\n47722 62724\n7529 98173\n8220 97468\n9801 10814\n41267 84903\n21412 84455\n24799 47978\n17238 71747\n16977 64145\n59579 62456\n16438 21718\n17977 72940\n49369 84405\n30104 66112\n26134 73057\n25889 92193\n88897 95544\n52338 68262\n53052 85099\n4786 71179\n65693 80122\n724 10925\n31218 92992\n88819 99060\n56246 58550\n49999 79772\n16044 36320\n2096 55312\n44448 66606\n40543 69968\n71249 82211\n63250 94191\n16998 29395\n66398 80142\n22613 95185\n13420 93403\n31960 66039\n30432 42317\n39273 57217\n13969 74489\n4661 96358\n44092 58911\n11979 36400\n39061 90221\n12421 49257\n26023 76770\n20384 79806\n8249 88760\n12302 40961\n38274 90179\n64509 77594\n53787 57391\n15104 69222\n1009 20273\n31282 97605\n17517 38056\n58286 84618\n24333 44595\n10872 59080\n28416 60902\n41491 81903\n14871 27442\n66903 78992\n68627 95631\n79125 83779\n24119 27341\n13624 67463\n30214 66151\n20496 83234\n68281 99632\n62733 76297\n47682 70743\n3146 11211\n11506 24377\n28010 66755\n890 76073\n31839 66621\n69402 76923\n16658 26337\n18980 21385\n4416 37833\n87412 95414\n10270 53699\n17024 74858\n50481 59738\n75957 87725\n55755 69288\n46928 88288\n28204 44288\n46032 60432\n37011 40764\n50928 64889\n47434 93267\n52297 78993\n57247 97412\n64906 65400\n20781 38859\n59489 77819\n63583 93986\n22727 71646\n3443 8737\n26474 80228\n40624 83037\n34540 49182\n13946 83048\n73626 79906\n29766 65525\n34847 55908\n36480 95103\n38927 87834\n50875 51945\n35719 77323\n30642 33047\n19117 80397\n54435 82776\n84396 95350\n35240 70659\n32474 70068\n27520 61892\n52 49659\n64609 88821\n13945 98189\n12670 39956\n17734 45981\n52788 92989\n73988 97412\n6560 55575\n973 47970\n22454 30234\n65137 91913\n50106 61746\n53117 73664\n33819 98871\n50836 81029\n46261 85929\n46636 51369\n50109 71515\n11316 62490\n41482 98037\n72781 73072\n15164 38520\n24316 84668\n12303 87465\n84397 99072\n32031 82967\n10359 74421\n8181 21270\n26650 81745\n23334 32560\n11181 23979\n3143 31523\n13231 43539\n19570 60092\n13906 40838\n47386 65857\n60080 88424\n35586 84517\n63257 91790\n63156 66403\n78282 82095\n20493 22754\n47974 80860\n32270 47916\n42457 98861\n6001 89743\n75739 96231\n36744 46411\n51657 53037\n13335 42313\n69873 72299\n14664 43436\n36469 44975\n16207 39492\n3672 90670\n43465 74475\n34658 36833\n50704 97993\n87788 87997\n7143 40075\n27737 60929\n9107 59029\n29933 94139\n1992 36240\n21950 73844\n33755 93499\n30185 76154\n23074 90425\n35740 81245\n5271 99393\n56908 94245\n23437 86333\n53772 80291\n9276 89951\n71020 72542\n12629 76123\n37832 77931\n4568 5617\n7763 98390\n86392 96117\n23964 47807\n2594 24865\n4730 61419\n262 20999\n43374 60405\n53679 78451\n35520 87411\n52840 56561\n64930 98279\n78875 97724\n45286 52746\n67495 95059\n2980 75297\n46260 49037\n34153 73561\n51102 75566\n13165 80198\n33269 75158\n60591 72147\n27536 42966\n19808 43742\n62656 97884\n59203 66890\n12512 50799\n92255 97773\n7919 63591\n12443 73953\n21913 98939\n35924 65322\n14112 21901\n27581 59591\n53110 57873\n33577 65292\n13494 76723\n64 39155\n3529 34363\n24530 87939\n27271 38890\n61168 99471\n31941 90350\n42754 92546\n84600 92369\n28010 37290\n10862 34423\n64324 79207\n18970 52849\n4044 21237\n58620 67654\n50455 60088\n61940 65295\n7890 83959\n16404 22869\n72688 73233\n2387 93020\n4048 63702\n36609 41441\n13645 60590\n21122 89993\n34785 93261\n52476 55007\n46884 77847\n26975 93586\n62848 74776\n41975 79925\n22042 65596\n10098 15279\n8674 19138\n66332 70849\n33761 50675\n55664 78912\n57125 77679\n31640 95833\n13566 43795\n81863 91262\n6694 26913\n12899 50415\n41859 84734\n44265 60048\n15089 72899\n54374 85230\n29553 89151\n57009 75014\n23703 26664\n8961 13645\n10595 44663\n3111 82956\n11585 73128\n11897 84813\n9105 31200\n3327 90570\n25015 62030\n50702 85843\n17041 74370\n48277 55969\n73814 83281\n82242 95377\n62099 82954\n30996 65273\n60040 93486\n40020 59885\n6878 21989\n19355 45524\n9061 95436\n58565 61417\n92939 98362\n41684 47278\n56006 98825\n27818 68544\n56728 84578\n14504 47010\n40379 84341\n27103 65130\n98 73537\n67706 69350\n39610 70374\n20091 27698\n12031 39567\n10633 62364\n79358 86045\n36063 66037\n54916 85943\n26653 61901\n52950 89431\n30434 79033\n7777 49445\n7813 73362\n11643 90606\n51681 79368\n43020 66282\n7966 38151\n48690 59362\n58288 60030\n18877 32531\n23136 49194\n65173 68394\n49875 75892\n40904 78660\n23545 74958\n19274 48882\n17621 87437\n6736 38328\n1778 15628\n34940 53988\n41739 73900\n66564 94218\n10421 54362\n47243 51023\n30249 58772\n30848 76567\n26678 43865\n36000 77652\n28428 45637\n25767 76776\n1509 32455\n7800 37213\n4366 47182\n4702 33957\n54491 83719\n18976 69261\n13659 53226\n58501 90680\n35955 79835\n58470 95011\n24313 84436\n11383 60614\n31285 84221\n20408 30172\n73648 93006\n47244 92793\n30554 51897\n57826 90321\n163 81643\n17024 91520\n72942 83601\n80059 85094\n70244 78785\n42612 47222\n27163 86046\n9237 73901\n49536 74656\n11942 81275\n55115 68541\n42605 65955\n5982 36797\n1938 33763\n14376 32223\n14432 50622\n45980 99081\n3461 98504\n73056 77566\n6360 25411\n25260 68238\n56327 92779\n88527 92359\n17086 48550\n31713 69384\n98972 99648\n45206 79569\n44252 57241\n71655 76143\n40800 51499\n44196 67257\n2920 79992\n31804 67989\n21902 45235\n71109 89557\n7713 76481\n60833 86658\n62269 75652\n22280 41636\n29819 93698\n21746 66213\n65482 72457\n8347 45144\n80729 94364\n86410 92000\n51142 57266\n49512 80068\n80569 91657\n12533 76785\n82847 94619\n40408 79033\n29438 31539\n27642 51488\n17889 41365\n69820 89709\n37099 79637\n47775 80183\n1773 96851\n77906 86835\n17929 28286\n5540 8404\n48731 93324\n46846 70227\n25335 28691\n19613 28378\n5924 17961\n46474 72362\n50641 77151\n56947 99395\n23205 91396\n83173 93901\n58696 96822\n11712 33941\n14437 70922\n55178 64203\n47575 80433\n23675 24442\n82650 83736\n12542 17775\n24705 86226\n79843 84231\n36461 72423\n30994 75556\n80489 84633\n89292 99688\n35267 55414\n44680 88338\n12434 42470\n45778 76445\n25103 85885\n35722 72098\n68381 77425\n18123 35694\n4803 16936\n86677 96190\n17520 97012\n23978 73478\n14622 62429\n49805 59905\n24755 80408\n8624 33797\n48319 86304\n35461 96203\n66086 69690\n59076 61793\n22433 60192\n6085 38716\n35485 91955\n26966 96466\n47385 95146\n12369 61609\n18165 54691\n56507 97059\n16379 74460\n10782 47343\n2933 58211\n845 69548\n6733 74221\n24712 66720\n43470 63118\n15870 82584\n5312 56608\n32674 49640\n75845 93717\n23824 45011\n21294 87823\n92673 95108\n45495 80954\n28749 74163\n22121 72679\n13600 91262\n62949 68714\n290 16651\n13834 87880\n60181 74098\n55786 70399\n64684 65721\n21731 69725\n27828 47210\n6403 69321\n26984 61695\n25419 86935\n77708 86981\n30413 99421\n12727 19308\n4747 5734\n13041 57689\n776 43989\n60283 74006\n482 33565\n40693 65739\n2058 22278\n21100 34299\n15120 43646\n16614 92575\n4480 11376\n48720 56227\n39928 53076\n13178 41923\n3119 64749\n34538 70456\n3402 84354\n27480 80868\n85387 86895\n20540 54753\n38753 63321\n54016 61755\n17272 23593\n23010 80753\n21108 44654\n36774 50314\n14747 60646\n22021 99968\n9020 39529\n42448 54607\n63185 86025\n2612 81866\n32032 39916\n56071 70072\n65656 99468\n34032 65544\n28381 45664\n15457 63084\n24937 74689\n63097 89706\n40854 90607\n20909 58782\n34689 91372\n20012 48914\n15000 24932\n20387 33408\n53770 88687\n4925 79332\n22297 49530\n25831 73277\n25974 32020\n85756 93443\n27446 94710\n19397 42497\n78956 97158\n41583 47463\n37444 53001\n56575 65420\n8343 44036\n3670 69950\n81958 85386\n20332 22072\n25666 75905\n4045 63232\n38023 60014\n51359 71614\n9170 84313\n74478 81667\n30233 48047\n56892 83913\n59154 68828\n3676 44094\n14737 89982\n6846 40681\n30125 82001\n31 60200\n10208 73975\n43879 92231\n21720 53150\n75640 76882\n46339 92644\n66530 82773\n7057 29859\n13002 50617\n10964 40413\n27342 79493\n60293 84257\n54529 91218\n85016 92326\n16255 74126\n41554 83864\n55370 78914\n14408 59743\n83347 87417\n26838 55453\n6245 51838\n56571 77785\n10216 71013\n40299 58522\n24461 65042\n72011 79880\n29742 79371\n23292 48803\n9757 42301\n91062 93032\n10135 23553\n3553 8154\n22187 88797\n15737 80526\n8588 66641\n57636 95637\n37729 60421\n41265 62847\n59486 74384\n70012 77907\n64682 93222\n54173 69101\n5217 74944\n14714 22341\n34243 72610\n45179 50936\n20275 36169\n21147 23222\n55125 55877\n10732 62881\n58046 63597\n45255 85278\n82509 96773\n12070 62242\n26009 81311\n48171 57436\n48427 82373\n1741 31048\n49306 64346\n15637 67863\n50685 61944\n24465 93100\n17349 18130\n14637 53957\n46608 72093\n26314 46417\n14501 57970\n3151 52656\n62927 70430\n21485 89299\n20543 40414\n78488 78508\n37537 49810\n10407 42355\n70968 99125\n8191 45193\n14891 64196\n10967 51811\n3728 52730\n52880 92636\n62967 85530\n15035 55979\n40247 79035\n67262 73071\n86996 92518\n21231 22884\n48283 72077\n6696 57154\n56770 77450\n38578 43931\n25718 74114\n37462 75419\n13528 14736\n8322 58023\n41874 43731\n23072 70502\n60275 64980\n53564 88568\n35297 82578\n16423 59801\n21638 54598\n66957 84610\n34202 70736\n58335 94795\n8544 20064\n24063 78666\n49255 97205\n22039 33104\n18129 28520\n17868 19680\n39391 53481\n1768 62963\n2884 73255\n55968 74406\n40768 79567\n1297 90585\n9458 60573\n24910 36545\n46775 62233\n10558 38818\n5782 10695\n37851 97219\n18469 85689\n36469 96836\n51089 98580\n76140 99420\n45655 96235\n7733 57466\n65225 86971\n41194 52175\n60599 74544\n12887 89019\n34461 48239\n90102 96737\n47448 77014\n4760 58101\n39849 91333\n29018 34446\n61729 64242\n1696 46852\n28087 96294\n8070 77579\n24576 93616\n18073 33896\n44063 72980\n70341 71917\n38566 63790\n82943 84128\n19563 90020\n20557 44144\n52649 88721\n32323 81007\n3868 10073\n23935 85668\n43378 86043\n869 27834\n4509 77675\n46183 91405\n48488 59827\n19213 63143\n27763 53205\n5196 89551\n30596 73983\n48939 58051\n12762 50644\n3648 14924\n55482 72127\n37185 75967\n13604 14979\n33990 53063\n14019 62112\n82216 99124\n29824 79789\n18133 22087\n38302 93448\n32107 88855\n67083 75019\n38741 76980\n38208 82774\n43443 72757\n63271 76163\n14627 46013\n84692 93834\n40137 52127\n6693 96818\n3713 17262\n22102 75002\n30256 91231\n30634 86230\n40284 89987\n71531 74685\n11170 67088\n13166 67862\n38529 94394\n81307 88078\n14306 62230\n4355 85184\n68187 82334\n29821 78221\n54770 95055\n762 12151\n61502 67178\n32185 57263\n19677 53350\n310 94795\n7491 25792\n13791 74411\n67247 87975\n30497 96643\n89343 94490\n968 66814\n44614 95074\n30949 79587\n85948 94115\n5851 45556\n12290 99209\n58775 75926\n53786 64493\n27850 39058\n18522 79295\n42445 84372\n23245 24560\n93308 96540\n3308 62266\n26690 58558\n2937 15007\n33693 56429\n66216 82680\n23325 90214\n85866 96284\n6127 22979\n15631 71055\n50446 81717\n79325 97459\n64106 70257\n5513 49410\n45195 57194\n62828 73268\n56576 64821\n33532 94519\n21530 69799\n11947 94450\n39169 85280\n13627 65113\n73878 79261\n59868 94498\n23770 27614\n8616 89107\n25119 28923\n18465 28188\n78999 97184\n31590 94717\n21816 25223\n4474 56722\n18903 69728\n8102 32724\n48421 72278\n58252 82323\n63179 86572\n41092 63102\n11288 60826\n15039 35893\n21192 84134\n25 88367\n3620 15335\n1356 71005\n42730 58123\n74757 77006\n23003 91050\n9689 96090\n10014 49982\n34760 84537\n34168 37902\n29760 33526\n15320 99702\n71685 85626\n17322 22661\n28937 53435\n1004 88360\n65667 86690\n6842 51912\n10674 76988\n30893 46320\n47193 65418\n37629 79184\n33959 53290\n1964 51939\n14506 49652\n6991 61655\n1824 44920\n30548 50356\n27962 31002\n29291 71452\n47421 95547\n3557 37259\n9462 10716\n637 17603\n20914 49089\n8220 73382\n15578 36822\n47403 55713\n49472 59362\n23164 86120\n16912 75475\n3568 67081\n52023 90370\n7512 86047\n10726 77097\n13557 35116\n15350 84065\n25104 80860\n20432 85195\n2638 25194\n13516 66901\n48872 81751\n31259 63838\n26029 31833\n19917 75409\n2386 42216\n6331 19193\n29433 69877\n28621 54372\n44306 45843\n15120 82439\n5294 79628\n6887 82971\n19327 77467\n28982 49607\n65714 88542\n36249 86738\n14808 65333\n3457 26171\n23973 86921\n25433 63209\n15389 58231\n42045 46419\n2193 79931\n44197 95423\n33004 58807\n5999 56817\n8527 94233\n93881 96119\n17117 44546\n3088 43379\n42203 73919\n66776 89788\n14983 70807\n43574 94942\n74551 88850\n47538 70291\n1970 17096\n48557 65321\n9782 76437\n46861 50228\n21853 58771\n46152 46740\n28831 81207\n43522 90420\n16168 37542\n17516 46194\n39321 50691\n27206 57625\n19764 64704\n24164 76082\n27009 84552\n17880 97661\n27598 87274\n16996 56966\n25714 64415\n77618 92990\n71571 89609\n70852 81844\n8107 72860\n38361 56703\n36903 71388\n19852 93880\n12829 35699\n10787 64104\n41691 96298\n58645 78882\n26093 27697\n38666 62094\n62696 82633\n24021 64764\n33742 37087\n86780 94520\n19703 85765\n12762 90554\n52883 74859\n47992 95310\n84621 84762\n20251 81016\n4853 58607\n27017 70758\n28246 79343\n60645 71327\n36694 37782\n9434 76587\n28429 57826\n53074 67531\n29798 91379\n21581 24349\n8216 64562\n31847 67958\n46709 89265\n696 43884\n25225 65023\n35015 41128\n30370 35262\n81627 96153\n68106 84319\n48490 97299\n25873 55904\n25291 55911\n15073 60844\n31621 79986\n24155 97422\n44463 80573\n632 34983\n24446 76338\n40923 71949\n13037 85794\n58173 62266\n21157 43882\n8561 64433\n55151 75896\n30692 54814\n11464 54762\n11745 31123\n40387 51826\n83152 86564\n2838 95209\n32639 86738\n46172 75478\n28804 93701\n49270 57381\n10353 31783\n12925 35970\n34495 42907\n59551 98693\n38699 73999\n40614 78975\n72872 92419\n66013 97591\n24501 35545\n57952 84377\n3801 52677\n26047 34039\n42236 72003\n1247 41618\n12577 39876\n53496 55926\n20762 51478\n11074 47628\n44338 67697\n21985 47075\n73461 78429\n26358 47602\n44388 84759\n12991 33447\n78863 92991\n70162 81255\n39341 77313\n21611 29351\n9909 30435\n52606 87834\n17370 64846\n8828 89722\n51850 85313\n13468 58596\n7998 49662\n44826 68928\n49977 97562\n52954 56665\n31810 52721\n8461 53813\n52498 58827\n45384 68768\n40975 66504\n15474 89844\n1018 79572\n2389 16565\n21789 31971\n27585 63078\n60781 65074\n5588 26907\n14540 64636\n30679 56729\n37456 57057\n3240 41826\n18011 86232\n4893 83060\n11429 28783\n31797 69847\n21456 34820\n37405 37452\n36915 75871\n60655 65065\n8033 67560\n42999 95538\n4674 6878\n49090 77553\n31621 91928\n38428 56916\n3781 6622\n21339 36085\n12031 78947\n4095 9475\n16553 22624\n79124 84309\n27007 64240\n1246 45975\n52559 80294\n32892 35665\n3564 40949\n26803 81324\n29620 80954\n29743 91092\n13746 51040\n50244 90757\n13167 23770\n11053 29856\n54156 71174\n30701 76024\n83250 91337\n20848 28302\n70106 85640\n8429 65847\n43671 54256\n36573 72169\n402 35732\n84177 94577\n23136 91127\n48170 67931\n29412 85610\n38631 91958\n25522 42746\n83113 96340\n24258 90761\n48856 93584\n18220 29918\n12608 80023\n12336 26071\n4551 94003\n45392 96716\n1815 63926\n3075 25504\n18462 44314\n49690 77805\n47327 55046\n31685 93860\n67093 75841\n2639 71620\n23687 37587\n62508 99064\n12410 76030\n51269 80247\n29496 89566\n55817 96502\n49695 54219\n41396 62143\n52169 67794\n27557 45669\n53821 98691\n93902 94831\n19680 85789\n15408 78018\n5009 43644\n47396 55949\n18984 90798\n47479 51553\n59659 69464\n42742 67634\n22391 80537\n30543 44062\n81575 97728\n7873 45182\n6832 9284\n37267 94937\n77270 93156\n31995 62984\n965 97281\n7109 17214\n45126 46571\n66637 81009\n63631 96061\n23360 35389\n47065 76587\n9567 85713\n31727 63200\n23476 30605\n59227 81293\n60485 75383\n19041 24309\n8257 53785\n9070 14095\n4239 48962\n24976 50685\n43688 98915\n13560 92176\n11490 36990\n34339 63154\n24455 30319\n14602 80104\n13607 72857\n51612 56670\n57517 63662\n35905 95364\n278 38583\n87521 93349\n31571 67617\n18414 27740\n22717 23987\n27948 37500\n1620 46968\n7127 54157\n47165 78520\n39759 86601\n15538 80832\n30417 51665\n66811 89301\n80866 89948\n34509 35239\n47169 62819\n8362 52064\n1262 80742\n52263 99412\n48397 95821\n16887 65123\n7183 21327\n63979 65260\n28079 96298\n69489 93531\n365 35864\n13463 85941\n59845 90789\n14249 51272\n15314 81621\n75228 81710\n35753 80646\n40232 72453\n21921 28160\n44073 54179\n23686 68249\n19267 91361\n71929 83707\n191 96076\n60920 75629\n10308 52325\n20724 84397\n9092 48585\n47843 64225\n12196 73380\n10256 94643\n16451 60327\n27237 30992\n67013 77908\n71413 75263\n25399 43949\n34609 44110\n38488 79006\n31539 53491\n57973 94357\n53372 59982\n64665 93298\n33585 78753\n58313 96242\n26933 60980\n60739 86420\n7103 20917\n19391 94789\n41773 98786\n58487 82595\n53845 87884\n25342 48780\n47836 93749\n23087 86298\n47627 94447\n68749 88068\n28249 99584\n25827 66160\n66078 99097\n23268 32671\n44529 63121\n15162 54048\n30776 70786\n71028 95499\n43824 70475\n16077 25162\n22937 45056\n82318 84058\n28679 84879\n74138 95153\n13407 69762\n12017 75403\n28951 59541\n6883 52191\n85702 92232\n64287 88656\n15528 25934\n6930 17280\n36936 37301\n59193 66776\n68575 87742\n93554 99250\n30167 99790\n50443 66026\n40532 50934\n78250 96468\n17258 59830\n16363 62749\n31132 88047\n50009 69035\n39561 78788\n33095 37706\n52221 55497\n7835 81627\n4871 81145\n73180 86182\n33273 36207\n29790 62449\n50769 87272\n513 66086\n69946 85336\n52700 68858\n60437 66594\n39561 98237\n73458 80958\n10358 47008\n13628 19871\n45109 88325\n68290 80393\n71991 83469\n12943 56520\n66109 99027\n66021 66629\n60240 99084\n85334 98818\n7006 98124\n44655 96594\n34526 51399\n88071 90141\n47721 66051\n4146 68128\n1209 7747\n97758 99472\n83838 96126\n56639 87836\n56996 59590\n10426 77651\n54522 73285\n40352 62430\n40781 55885\n43438 87077\n67352 97018\n28963 75565\n41648 72341\n6124 40949\n39908 58828\n57105 59717\n46232 96062\n32109 93987\n51932 61675\n11521 76752\n27189 72641\n13206 46005\n4552 33857\n45928 85680\n10114 95708\n15119 94855\n3921 68528\n58291 67752\n19116 32428\n51761 88491\n8083 31153\n2779 92717\n7777 83691\n47778 88995\n45369 55991\n1518 54440\n59642 80648\n31459 64601\n31571 98354\n40788 40924\n8683 37934\n44163 57720\n42248 84143\n48200 80051\n34155 40643\n46386 51831\n7150 9384\n57521 70808\n11747 87658\n24312 77194\n84230 92531\n10230 38989\n29729 62795\n23311 92451\n47957 49196\n37877 41305\n59424 60046\n1717 9971\n23014 42951\n39017 69862\n37999 82348\n65329 98102\n34240 57736\n20493 54588\n37480 57355\n56990 81330\n58128 87259\n23350 90541\n74089 90544\n47014 71025\n1980 98149\n5171 30404\n52611 85920\n15861 81992\n80586 87888\n22503 71049\n70338 83904\n45249 48654\n48907 52447\n26696 46572\n11751 25914\n27702 85774\n78186 79339\n21176 98058\n1924 8761\n30006 44976\n41066 85851\n38225 97367\n32138 91623\n48353 49796\n47774 81367\n23040 76115\n6074 16700\n11210 18155\n1448 22032\n59768 74778\n71585 88651\n24327 71261\n82042 83976\n37294 59796\n9531 49069\n29861 65949\n3342 8929\n23740 64746\n37522 89779\n24734 61602\n76553 85103\n9102 60770\n6158 89825\n72729 83153\n280 33569\n26662 47927\n26299 33608\n30389 75205\n52041 75121\n66626 73850\n37274 42150\n58533 63144\n25397 25960\n12327 55872\n30957 57210\n51371 88662\n86132 96570\n69205 85777\n59831 86958\n48959 65791\n45893 56719\n7980 21594\n11803 50819\n26068 36114\n72678 86279\n53725 98266\n26234 38613\n21705 41461\n73714 83955\n33888 93239\n18022 69131\n51169 63830\n42915 46906\n76092 94279\n12226 61006\n59257 73539\n58432 97867\n57025 71321\n57954 75848\n77471 98501\n4023 51407\n75311 99152\n71028 75093\n33347 79622\n30284 36743\n96327 97581\n48287 78489\n17733 48469\n25304 36712\n58952 78515\n28377 48495\n36515 54220\n18193 28382\n75450 79496\n29225 39798\n43411 61652\n53190 62476\n38292 77141\n2062 33791\n22415 79598\n32628 79266\n26231 61813\n65020 75100\n25803 35710\n16766 32473\n1302 33400\n5115 46484\n29909 49177\n89735 90465\n6899 14041\n14127 40176\n21493 77289\n83080 86007\n16055 56801\n14497 42563\n39452 83887\n57312 61953\n14858 39774\n21129 54342\n9526 12136\n31551 88747\n27265 41905\n9959 72828\n64940 72923\n60304 83650\n20251 50826\n39750 73565\n22538 27806\n40486 69151\n34356 69145\n57513 79206\n33703 72871\n70510 78381\n69032 80996\n58440 95467\n71553 99723\n34306 55815\n20393 52137\n4509 37271\n9888 54779\n27621 30819\n21734 72919\n58414 91302\n638 99525\n28844 83261\n36237 89595\n33972 51549\n73622 93814\n11239 13741\n4959 33759\n9098 62047\n79229 95137\n8638 67040\n3582 46245\n39981 55144\n1670 4051\n51338 55407\n41451 72708\n1119 80607\n14289 27701\n63002 66646\n66221 96602\n3309 15347\n1466 91903\n70040 98863\n37299 39212\n38376 85431\n57452 69770\n14455 59716\n42364 98674\n79913 82760\n44122 90732\n57108 85512\n9089 97680\n44620 53609\n43261 88002\n14714 63132\n40928 67820\n29252 95695\n56032 75910\n19472 84990\n38362 48028\n88268 91378\n23284 99385\n22849 43262\n40595 65256\n13137 91150\n31067 74236\n70511 72510\n13397 36309\n13437 93555\n15966 21657\n53542 58903\n71986 96607\n25529 68789\n3569 78356\n17869 63296\n59837 76825\n4756 85754\n95398 96141\n11314 75721\n47717 79683\n37042 95740\n7154 30917\n23455 97773\n9389 53897\n74554 83542\n40421 81072\n21188 24334\n54739 91386\n9348 64214\n25568 36826\n85080 87793\n4665 74713\n46216 79784\n3524 75065\n17070 58462\n36202 66813\n65616 94355\n60541 63757\n71338 91904\n1815 49815\n50190 74695\n76472 99964\n25149 39751\n22582 71533\n23695 30646\n7253 58210\n19855 51030\n32800 73865\n63666 80209\n63254 81453\n14125 21211\n15322 73903\n44377 45785\n64344 72285\n21890 57877\n4389 41716\n44974 89980\n7910 36360\n40577 86393\n18755 74798\n30067 44800\n4846 18911\n12878 88126\n5453 55325\n49945 64109\n46592 50634\n27453 78206\n2668 9093\n4637 38334\n294 55721\n81455 93564\n32009 40075\n74963 97476\n97436 97568\n38366 92844\n25703 81016\n59832 95107\n58886 90523\n21457 72383\n36918 77739\n1715 21515\n82320 94795\n34478 52711\n38824 99464\n61074 87513\n1983 31177\n57883 95548\n76990 78192\n1606 33351\n23769 41977\n36875 88974\n24650 57905\n35022 55095\n33796 49148\n41739 64324\n33206 89120\n78120 83006\n29657 60192\n21390 67587\n1256 13910\n28632 51626\n3800 42077\n32363 33890\n53201 87181\n9019 47627\n10640 13182\n42113 93600\n7601 22428\n46635 61148\n25910 74746\n86190 98897\n5469 55434\n10069 38300\n21843 73010\n9292 12637\n7401 24444\n50669 58826\n7137 91046\n16849 49248\n4721 77510\n17496 36129\n20036 92484\n47803 64199\n7554 95050\n42849 95808\n65008 92047\n35654 36426\n6525 41004\n19985 92953\n76546 84697\n16065 16343\n3472 50664\n50825 92886\n25235 28368\n61304 85200\n24565 29017\n32711 79251\n60833 76776\n14229 93289\n54477 72715\n23953 75577\n40181 47346\n13272 96019\n39347 72548\n19574 64628\n71861 94034\n3597 81662\n14562 42569\n67033 72453\n32528 36689\n57854 78275\n40496 43326\n66124 71368\n6717 61400\n67559 68457\n63515 66394\n26890 28998\n54752 92427\n51294 83303\n27771 81991\n52750 93063\n5171 19706\n32142 58553\n51293 99622\n39436 80807\n4022 87115\n95879 98934\n65934 83312\n56324 71379\n10601 45222\n17302 64501\n17529 43814\n40309 75321\n23497 92328\n14745 70647\n18607 84072\n16999 60752\n3403 76572\n4027 5549\n4398 21402\n65100 99528\n4850 96777\n18792 84259\n79575 98289\n36074 75271\n24012 94980\n720 19492\n28041 79473\n5250 35958\n6953 69074\n50984 89282\n17356 29725\n32339 43013\n66584 95517\n21588 57075\n35434 57323\n6860 80407\n37552 51942\n2029 90548\n12786 94402\n28374 70692\n59929 83670\n4285 74758\n15450 49551\n84923 94900\n51296 52870\n3560 86908\n75561 80444\n7735 23171\n38711 51366\n14937 52401\n173 99188\n24653 39159\n69752 99306\n68352 80257\n54093 71105\n7186 46459\n59997 90348\n30108 90738\n23659 27023\n66961 92904\n16888 73641\n31808 60658\n15622 69767\n73349 81816\n80289 83264\n21682 61960\n35809 92253\n27934 53178\n16939 49451\n78215 86016\n1935 25099\n55319 95992\n38222 43579\n23367 27929\n44964 75316\n23177 45614\n14989 99702\n4520 15181\n24916 43116\n33205 35236\n10101 74735\n6241 93517\n41277 92604\n50486 54116\n42012 61856\n85746 89646\n24217 61887\n10134 95816\n11729 50622\n28886 92471\n2411 63852\n53794 66450\n58657 66584\n32493 92521\n10800 52664\n3309 15911\n9374 98708\n62837 95620\n43071 82680\n25981 50842\n83742 87358\n79632 84069\n38657 87408\n22474 88540\n35843 81886\n18496 76535\n14510 57125\n28561 69573\n8782 76195\n3770 22819\n30538 70418\n9863 83647\n54821 62672\n23383 93001\n24015 62413\n8136 73364\n7765 21176\n53409 97818\n19704 98442\n15268 96314\n71966 94691\n55186 75011\n59777 60734\n26972 84293\n21444 69683\n1867 41920\n16641 71761\n34774 84398\n14432 70392\n31090 33514\n35454 54565\n30420 95431\n16495 97333\n32136 93418\n66239 92022\n7554 71408\n28670 72291\n48339 69017\n6270 37171\n45180 97997\n7394 86785\n62390 71701\n50700 52441\n5372 83501\n17281 74508\n30287 96583\n17542 26140\n60716 68542\n61818 89931\n47599 80506\n33199 61297\n13817 99431\n87368 89505\n7186 31221\n1386 64570\n55085 76081\n70828 98664\n11454 36434\n10944 59920\n28841 54403\n27586 67840\n50775 98036\n15358 88194\n42832 46494\n47295 69063\n11846 45041\n22547 65234\n16895 23855\n75456 75660\n7727 33276\n63679 95213\n55823 86713\n64566 64761\n87888 90539\n70882 77288\n37050 71300\n24917 52448\n13235 86029\n3935 59019\n27295 65441\n81303 87144\n3852 67027\n29752 72366\n31780 49600\n5795 23159\n11864 99729\n6882 50017\n55483 58631\n13512 41602\n24146 57683\n43118 73396\n23728 39835\n9648 10427\n70313 75892\n15480 52999\n34877 51353\n8521 62263\n59680 91316\n15 58909\n70679 98759\n8524 15391\n39199 83565\n75655 80219\n15292 94964\n742 34414\n14696 29920\n8973 13399\n3612 68758\n43486 67983\n37093 72505\n13675 87154\n39089 43063\n6521 22731\n25719 62015\n78750 85875\n61239 95713\n63350 69705\n17875 31371\n34252 43040\n18656 84905\n48426 94703\n22116 59622\n66119 70431\n13129 46538\n26752 62372\n8157 57800\n48122 70066\n45583 75260\n71460 81680\n29180 87059\n61330 83809\n2392 46204\n19691 61174\n94451 98967\n7196 91705\n54 37689\n54052 57214\n35262 62015\n43960 94176\n2793 3211\n29433 98643\n2856 74337\n40495 41592\n51557 64623\n8535 30761\n7266 31670\n46855 92220\n42231 52813\n52745 88349\n36593 68167\n36538 75036\n95155 96570\n17123 43601\n4037 83907\n25387 72040\n41662 98011\n10775 80995\n40260 84202\n42825 99193\n4709 27922\n96944 98340\n5336 49226\n61698 78119\n81684 99832\n27154 41252\n22150 72623\n31869 57033\n46526 59697\n86146 97698\n78417 79914\n91152 96899\n49735 78231\n7164 49738\n54909 60285\n3510 98535\n41289 56899\n11414 50481\n83023 88343\n44084 55675\n39302 83703\n28729 50938\n74057 75242\n33465 92371\n39908 63981\n3573 90910\n18296 61828\n29181 88418\n72608 77254\n64870 81832\n60454 93756\n18681 97850\n44049 52298\n16282 22643\n8688 75224\n12249 98842\n97346 99630\n17203 26356\n38536 79282\n4084 50730\n52821 62207\n63116 91215\n38226 65051\n49634 91461\n20741 80366\n56356 97152\n31799 44675\n36988 52890\n66250 87048\n7936 85038\n10891 98970\n30242 47866\n20332 86658\n56852 99985\n30839 76071\n54278 86389\n67720 75398\n23262 77956\n3563 94455\n35686 62003\n20400 65739\n65737 78236\n21031 94806\n68749 88099\n38253 48619\n26128 79709\n48985 56093\n8185 77074\n8007 16240\n50645 83457\n19806 45635\n38088 73658\n20826 74033\n64009 77928\n4479 13535\n59945 75008\n13577 42606\n26203 30604\n2161 4644\n6958 31631\n53479 83450\n7690 19487\n40954 79444\n61350 86194\n87701 90501\n3514 13535\n8650 66568\n50975 94004\n72769 89454\n69030 72896\n17925 76301\n8791 91165\n28686 99942\n53117 53292\n49249 89645\n18304 36228\n37828 46236\n64491 79612\n37124 77206\n28875 83072\n22673 88209\n54122 73897\n21599 90890\n7525 12746\n10582 33530\n67104 77429\n68117 97829\n51783 57168\n10548 32365\n18981 95032\n17651 85170\n28608 62915\n52798 62914\n94163 98250\n50642 75634\n46884 47107\n19562 86558\n29499 69887\n43392 70042\n17839 31602\n94935 98641\n29412 85516\n4808 88492\n54514 56544\n49065 74555\n22046 32116\n10075 45818\n30356 64839\n69790 75397\n57776 78747\n16727 81926\n31276 66346\n13650 26007\n25770 63893\n76708 97020\n43637 98946\n44552 60408\n37212 56461\n16914 83273\n39172 60094\n68897 85452\n35220 89439\n2722 42941\n963 26817\n90979 98644\n45863 50095\n28396 94817\n20534 64578\n40717 96620\n10190 39884\n20581 40389\n42002 73232\n31565 52128\n61603 68462\n18560 85939\n55594 67974\n44464 87253\n55523 62006\n10549 12248\n78359 96691\n10745 82352\n37964 55123\n30534 40566\n97716 98058\n21873 31372\n39122 66868\n49464 98897\n29292 56866\n43438 55790\n44162 96084\n39645 98366\n4002 39066\n39930 48872\n60625 99312\n68706 92815\n1783 25412\n43071 97977\n16961 60172\n12728 53222\n1882 78274\n34108 79086\n3737 81519\n14490 37552\n31018 49168\n77407 88976\n8242 71169\n36034 77284\n64573 87105\n71754 78251\n39423 50919\n15100 18038\n34170 42031\n2686 76594\n47002 69200\n89273 95923\n33411 69910\n13359 60397\n40412 67402\n5278 66313\n4046 81524\n42480 98292\n62329 79024\n14960 23328\n10026 56498\n20815 46567\n26140 35536\n90 89529\n47338 76858\n9226 85383\n33485 54211\n48364 51960\n18549 47231\n53213 90236\n52550 94526\n68273 69882\n11025 28779\n53726 89217\n80150 85249\n22883 57366\n22799 36599\n22218 40685\n16962 77413\n12424 68017\n16459 21050\n85278 88224\n79822 85300\n13809 74362\n22149 33981\n27208 59912\n70645 72255\n38225 58401\n44281 92325\n26859 96311\n11575 38501\n32401 79228\n71945 95100\n13672 65222\n28283 31746\n9930 82870\n29194 33614\n31123 48526\n45768 78825\n34601 84240\n15869 46146\n36522 92890\n852 70925\n60344 69708\n7493 26016\n35641 67337\n66653 69314\n68099 74009\n30885 80840\n64999 72064\n26789 42842\n14087 14971\n11237 14623\n71977 86476\n78 20448\n17328 71907\n37814 91631\n69957 75240\n60368 91982\n38796 76199\n24634 68669\n62577 70449\n36115 78824\n27328 73807\n77601 88673\n14719 21700\n38944 99310\n7314 37137\n55765 67063\n44704 73119\n32862 73875\n19698 79230\n17321 55024\n86756 95897\n75397 96673\n22896 64680\n3359 97125\n36624 98879\n74044 89238\n61768 69043\n7690 22693\n56684 57353\n92626 97502\n49434 72560\n17757 83084\n21842 65594\n61784 78463\n6009 92102\n60541 64394\n3015 96037\n74061 78412\n79048 96954\n77750 96972\n19721 66859\n37464 55122\n55798 77775\n49299 55758\n45143 97475\n24109 41507\n98082 99661\n37320 38187\n18745 59051\n48161 68369\n11098 80077\n56331 75702\n20111 41458\n18179 62430\n49478 98203\n50861 62734\n8139 36382\n33157 77907\n69646 78553\n30720 31862\n59794 89733\n40393 64192\n59883 93124\n68756 84953\n56171 78283\n56447 69424\n20026 58456\n78589 97098\n22525 46239\n5475 12318\n24991 54311\n62309 94585\n52185 82582\n30747 47423\n37205 82521\n9394 96855\n6893 99030\n64565 79780\n17287 89236\n21211 92033\n20381 71933\n14046 79372\n40797 84306\n14271 50324\n22986 45773\n55095 61884\n19101 27365\n66628 71366\n37052 61542\n25103 62496\n5756 73063\n92546 95514\n3754 23093\n35256 46861\n11614 53694\n28187 38547\n19942 64401\n925 51156\n61975 68392\n29848 46425\n38292 42018\n10405 53522\n16205 17395\n19277 92310\n16731 72985\n24205 99560\n8022 77955\n27762 83963\n37873 73122\n32210 52633\n24624 95136\n4840 94871\n8385 51751\n10117 43505\n24768 71649\n56167 99036\n12518 75616\n1205 58275\n91181 98847\n789 99149\n50638 92215\n12599 18104\n11533 47750\n22757 56006\n70062 88010\n48100 72773\n40080 62812\n86107 98433\n37540 38034\n38881 91564\n96774 97388\n6771 60281\n79813 89711\n73591 93378\n88076 89124\n50948 53523\n22805 29446\n36343 71260\n47855 50924\n43789 98081\n53901 54296\n56541 88261\n49262 89273\n41169 99481\n66717 73997\n23278 52110\n41971 60204\n3482 31453\n55912 89574\n2697 97885\n51077 73965\n56258 77072\n69542 79001\n68943 83092\n35402 60838\n22925 86523\n38557 60027\n2615 26339\n65227 80417\n231 2195\n90188 96328\n43967 92119\n16203 35755\n68666 73364\n5516 90770\n5938 43931\n33552 91121\n27261 88297\n35605 60320\n32596 46470\n30658 42962\n19999 70333\n44426 95537\n829 61950\n10270 59858\n74910 82088\n85056 88022\n58781 95349\n79659 98245\n61720 77831\n20554 72794\n1554 72764\n52828 55952\n31063 94703\n87179 94951\n6775 75793\n59751 77879\n7891 93415\n59360 69761\n13979 67806\n3835 8987\n50620 75636\n26695 29326\n31011 31214\n19619 46773\n35836 93701\n21973 44693\n2397 69706\n8786 59648\n1990 32423\n78155 87676\n22555 46943\n13325 23463\n8879 45221\n34786 48998\n25546 45528\n6517 30829\n70011 86493\n1028 18618\n6553 80982\n30066 81638\n29182 36660\n10002 67293\n56257 64792\n15540 94498\n16877 93363\n4674 13430\n60937 68717\n35876 96878\n3673 51492\n5383 56288\n31223 65949\n19665 58303\n11953 25933\n37697 70143\n45143 75065\n23833 36168\n4349 19063\n8394 17522\n523 40897\n76588 83911\n49470 95652\n15493 66490\n69349 73580\n19593 99156\n67341 67765\n2325 82574\n10147 91570\n46328 68671\n27954 66558\n84089 98583\n44631 61473\n58884 86683\n53608 67785\n33316 44030\n50152 60218\n40217 98390\n8879 56967\n19581 42237\n35575 69804\n9780 79820\n55567 69115\n57907 84811\n42085 86927\n1293 19691\n9310 20120\n22122 78479\n25123 55199\n18217 74649\n82814 89074\n26113 86149\n54090 82289\n7062 19247\n41155 99325\n9895 68602\n28985 71088\n21090 74915\n1181 35668\n85194 95727\n6591 94642\n15133 72111\n11294 43591\n17481 38817\n12881 55660\n69841 99849\n91052 92845\n58767 70440\n3937 93633\n7027 90439\n39171 98200\n55007 60670\n35298 52846\n21668 62438\n29197 93593\n386 49272\n17633 83078\n43220 66985\n54265 66864\n32534 69237\n41461 52838\n9841 97467\n56321 95178\n51272 70861\n13125 93237\n27001 35686\n50745 51121\n29964 60148\n13966 39769\n41878 68644\n4901 71839\n14551 20253\n18145 90887\n31623 96960\n5778 90175\n63593 63842\n67243 74684\n4882 67552\n34314 80874\n22716 52344\n20095 85952\n31279 74532\n29287 95469\n24296 96858\n40496 70653\n49439 78874\n71657 75389\n34107 43415\n11456 78403\n58160 88104\n26868 35900\n77465 95950\n58768 89776\n34595 40136\n36895 66687\n21951 46405\n21471 63208\n48975 68733\n17774 77413\n11649 37904\n57577 83601\n14146 95605\n6182 62177\n3693 71878\n54500 79719\n32173 97463\n19 47246\n15106 65178\n89311 98901\n56384 90767\n86721 87054\n12771 85926\n12529 73923\n462 65386\n10294 99552\n30927 88900\n80074 84143\n4613 43029\n28124 60953\n98147 98250\n32552 75071\n24705 72932\n13019 38275\n40672 65521\n14370 40431\n73103 90688\n60827 87187\n15634 35023\n23420 87453\n7945 55269\n71780 82846\n32492 74947\n69183 76068\n12291 30305\n44342 56983\n40846 77522\n23097 72417\n47901 92183\n7451 55751\n19887 61865\n7516 16016\n40560 54523\n34 56260\n3170 79773\n14658 60409\n12000 53668\n41457 97647\n29473 45765\n18814 26577\n75102 89767\n2738 23899\n4514 33787\n71730 94342\n20814 99348\n70309 91873\n62911 75452\n31435 33611\n23615 53046\n285 10669\n7627 58569\n8085 97900\n65407 98809\n41765 63651\n13943 61948\n13888 42880\n15304 80939\n27699 95112\n24615 31178\n29612 54494\n65067 77159\n36570 62254\n18867 65370\n2331 17173\n29167 43665\n92883 98917\n2994 13003\n25574 84542\n52381 71453\n42802 65355\n45369 84788\n9128 96531\n56591 69646\n2693 72184\n360 8363\n67389 71971\n21300 77514\n20638 39191\n26327 35099\n65874 74691\n7277 45701\n439 92690\n51914 65225\n4491 18749\n51481 91028\n719 24370\n67138 87451\n7421 99317\n71067 91978\n20697 50028\n37373 45828\n12289 85464\n42029 83363\n1200 28574\n20600 88578\n54191 69901\n29371 56636\n7225 36796\n55188 92587\n52039 66899\n25526 90670\n53859 91443\n22926 97882\n64796 83905\n86970 90615\n33511 87688\n55001 91225\n5378 13138\n77229 83707\n27668 34074\n43561 87904\n76413 76826\n2964 24063\n11304 65844\n15473 72859\n86136 95811\n55250 93774\n17360 52510\n28400 73937\n45131 79827\n26295 77307\n50717 61712\n41457 81698\n41664 50036\n5718 19000\n4799 5756\n36650 81892\n4436 53116\n7080 7636\n67871 72613\n51774 80568\n54126 80371\n20855 47982\n86289 94002\n41642 54925\n8144 72402\n94726 96458\n10873 66116\n6907 31684\n27992 39957\n67752 79794\n2929 16689\n8690 72806\n20134 61243\n76336 96904\n49135 51331\n41609 50140\n37544 75857\n61153 63871\n19122 23789\n77725 84610\n3388 20802\n2831 55725\n11861 12832\n8522 66357\n4278 42597\n45811 62815\n4759 23811\n85403 90562\n2203 79104\n21386 47698\n44290 73432\n56148 72798\n27054 90983\n6460 30851\n11073 80012\n32092 51979\n64247 69808\n24678 98858\n3963 64043\n46806 58606\n13233 37454\n75228 79780\n18036 78875\n36887 41289\n69594 84452\n56975 92458\n25420 61631\n26481 69302\n76642 89348\n35410 35446\n6861 41592\n15251 18634\n57164 68500\n21913 48010\n19715 71711\n16304 53722\n25261 80783\n8564 23253\n46846 66705\n8245 85084\n4833 81174\n67224 73039\n32539 96102\n12485 68056\n22115 76128\n88035 96673\n18458 51818\n81331 93924\n60269 84643\n3350 92048\n61684 74499\n32924 44160\n21126 60919\n48995 53131\n6746 53430\n58695 88431\n35119 97314\n7291 96325\n62175 74152\n15678 55598\n10563 44821\n22929 80714\n51077 85318\n10339 16037\n5914 82786\n47907 71502\n23962 65945\n29490 44028\n21507 81504\n85772 96228\n57351 75636\n46690 64787\n20647 63767\n26513 66019\n21905 68535\n61421 91812\n71727 84898\n51208 58358\n35876 94149\n699 58077\n1076 2498\n66130 69158\n45448 86384\n56792 68383\n61097 74669\n43030 63744\n63583 67745\n30172 77991\n64742 95873\n45087 95984\n52961 62907\n32486 39377\n5876 80302\n1094 16024\n35669 38522\n24452 29520\n23040 89948\n46941 74420\n65262 66357\n16278 63277\n50584 83119\n78242 92087\n25686 74994\n7315 79938\n22956 82184\n11166 83268\n13787 46210\n68021 77822\n16728 52942\n18828 33793\n3347 34933\n53 93455\n12152 57247\n836 5691\n12644 43089\n70504 99128\n50313 82398\n10707 44134\n50914 90882\n16117 20128\n12007 53729\n14792 88746\n6604 22662\n42448 97089\n24749 41724\n5838 68208\n5044 84942\n67048 98026\n43883 51611\n7443 85613\n24160 32146\n69989 93121\n65543 96464\n45812 99904\n56287 81406\n33000 40443\n77748 87878\n19729 97891\n61813 65281\n61561 76594\n20304 75141\n8720 25502\n9916 59101\n49783 90195\n33194 73692\n40741 53613\n15525 58382\n30539 34401\n62738 70261\n57026 85817\n76708 97309\n14489 30887\n3975 74408\n84449 94773\n65786 81901\n46641 49610\n32130 36243\n4286 66648\n62858 91534\n38020 67282\n61477 82525\n16605 92633\n5017 95160\n6774 22601\n65331 85293\n46354 69285\n9574 22876\n49062 94000\n1308 32318\n65343 77933\n48623 93750\n9567 86491\n57958 72466\n14209 67387\n14283 34873\n27570 83370\n17347 79620\n4466 85588\n71570 91871\n77270 90775\n72457 95667\n82412 88708\n51352 99364\n75115 98493\n4653 19563\n17389 38126\n33025 61469\n52095 80566\n10075 16163\n528 63203\n2264 69720\n38659 54954\n74870 97091\n29916 72170\n26082 67447\n18471 98927\n9689 51432\n557 91143\n70099 86125\n27284 84463\n53420 75190\n24565 35559\n63015 84289\n620 75691\n30322 63771\n18560 54982\n12064 26165\n37682 84972\n48867 57496\n55559 93524\n28785 64150\n64965 89183\n61627 97866\n13412 81821\n25937 31152\n42206 87119\n3122 54872\n85364 91752\n29989 95324\n59939 78551\n35449 65811\n76903 94132\n16191 61794\n31850 80467\n26463 52622\n18015 53693\n41936 82848\n9775 60443\n41259 61291\n52195 78468\n37850 48505\n35891 89367\n60812 65667\n28233 87869\n469 4375\n52935 53146\n10589 87006\n61507 66507\n22755 66632\n22495 54407\n16260 40965\n15259 99414\n36844 74541\n3769 16975\n23415 30278\n23833 41821\n16359 87505\n21463 74143\n43071 82366\n53452 61527\n78438 88955\n4212 32159\n2658 11213\n56543 63228\n18051 56163\n50339 56841\n68951 69940\n49208 69324\n33981 93682\n132 62286\n9233 36644\n67602 74298\n12014 72763\n41880 95013\n62576 74785\n54734 70236\n38990 68555\n52888 89718\n7724 16412\n12626 76959\n48505 49216\n50805 58226\n19813 64042\n19067 68852\n43117 84122\n27877 58812\n30091 38732\n48241 67807\n48562 91556\n61800 96904\n60298 94539\n18723 38027\n46891 79545\n2070 83884\n64963 76551\n54503 67175\n28712 41794\n73769 85194\n35358 51124\n67118 97749\n14534 73101\n25882 87000\n14017 65456\n32488 61460\n82590 96761\n7371 48875\n12448 17459\n53485 54429\n14039 82214\n31409 37763\n14499 77865\n17929 32807\n59484 86023\n48524 81556\n50373 82622\n33965 96085\n44221 72110\n2626 60901\n39142 89528\n8127 43488\n878 27801\n13355 93899\n13364 31929\n19916 19950\n18259 56961\n38632 62877\n25957 94177\n3947 20458\n40435 69123\n16092 82041\n23275 71671\n2629 97379\n77847 78630\n65936 83183\n71942 97905\n50759 54687\n13114 70493\n48794 73300\n20230 40698\n8819 50023\n42865 78435\n3890 41782\n87789 96983\n60884 71313\n16371 21997\n34938 49099\n20971 71701\n27031 40567\n57951 91009\n1064 83689\n22551 68076\n55534 97618\n8365 30997\n23500 47482\n16314 86455\n6225 92766\n47195 63420\n10410 42285\n59698 97184\n83560 94353\n40565 56428\n17112 45374\n15082 77084\n61188 77194\n56439 69130\n14891 45014\n38688 64850\n32897 44416\n39957 48595\n47544 56580\n62100 81807\n44221 86191\n66532 96913\n9546 43569\n11451 70092\n25926 86634\n48646 90073\n38246 54369\n55376 98657\n47808 72005\n79021 90216\n38176 40634\n24510 53413\n49527 77056\n72042 81897\n57720 88331\n36503 73490\n33306 59022\n73278 89424\n28770 49844\n12373 77811\n22859 92879\n80410 91887\n39771 45975\n39080 89253\n47218 55281\n40694 62520\n37700 75353\n30512 90916\n8594 72696\n68438 98970\n5893 90100\n89625 90468\n34469 84436\n13028 93640\n30441 57749\n19827 96461\n31893 42456\n42735 78050\n60261 62163\n51256 56762\n19912 70413\n3100 90209\n17349 37563\n36087 61520\n61102 93394\n57710 81352\n40466 97973\n54046 65613\n26672 79557\n57566 65190\n32372 80334\n10123 24865\n38681 45199\n32032 42664\n36706 64197\n44444 47238\n40907 99060\n62205 73313\n55721 64835\n1953 31967\n60271 95600\n2986 92692\n40427 70227\n47639 71733\n38318 60924\n28322 31157\n748 18343\n43744 51591\n16809 69045\n33022 87372\n61813 80001\n16726 22141\n2055 57085\n50219 97909\n7992 58583\n36016 42631\n10672 64927\n12936 86366\n55751 65156\n75802 82635\n39674 71113\n21716 69137\n56303 98737\n36569 38670\n51729 92802\n29110 33852\n21349 31927\n2094 82055\n9780 62335\n60366 68761\n43786 47650\n52768 68365\n7278 72403\n26687 89912\n22290 37635\n5552 20528\n17919 46664\n42405 61143\n27874 39821\n36573 94394\n77019 80755\n72117 80036\n27584 69703\n4986 17267\n1445 13524\n83323 93940\n86471 95495\n13640 94698\n61547 77606\n59009 73602\n71988 77247\n15829 21434\n23602 71175\n63624 87620\n50826 62326\n41108 71708\n28092 85353\n60436 65860\n14235 37708\n25410 59872\n34562 97819\n60549 81431\n299 71377\n6917 73563\n21908 76468\n67229 74980\n930 26192\n67774 96771\n44622 69906\n71525 82183\n34070 44075\n22095 30204\n38170 71252\n35616 51547\n25387 79408\n44691 49001\n10399 38251\n80622 90808\n57314 94499\n44350 94847\n11200 69870\n4788 83194\n16023 26113\n19350 64792\n62662 93774\n7164 58659\n29891 45477\n39594 90980\n31286 81903\n24333 29637\n70858 78351\n52813 85416\n44461 61453\n42356 60492\n41882 51661\n14524 86498\n59318 91209\n30164 43895\n39563 59454\n14484 88272\n48978 85553\n24261 72261\n37650 98599\n6887 29636\n22137 83059\n15170 81483\n19767 60729\n9874 58203\n20312 95343\n3777 11601\n2443 24978\n89693 97194\n3942 56731\n66396 95304\n16704 47628\n47827 69119\n9383 19050\n4476 16198\n11406 95316\n41112 96213\n90045 98047\n18039 44370\n10069 22089\n68980 88492\n71754 93892\n49865 92807\n12624 98027\n13537 75780\n31808 74642\n54603 96114\n11655 45611\n86609 89378\n51298 90205\n56992 66185\n19787 75696\n53266 94062\n58227 60743\n42603 56385\n35728 80052\n57648 57787\n84075 97489\n8735 71413\n15827 60512\n45715 66850\n88304 99306\n1655 83015\n7164 8344\n39187 76339\n38699 47917\n61778 76264\n53324 63041\n42349 49261\n11596 88018\n2381 52797\n37056 49319\n53615 89529\n61639 71896\n1375 71972\n30924 86184\n5752 67066\n3582 18898\n3583 36830\n37394 57378\n48789 92943\n16482 17630\n44565 81022\n33650 76196\n33570 35570\n83962 93041\n33820 45732\n21894 68711\n29516 60986\n4677 57936\n56650 65650\n8313 63853\n51146 51204\n21501 69342\n13690 23506\n25009 59627\n4504 26126\n38344 59260\n3130 96632\n24857 86840\n59135 98361\n7433 19773\n6014 87037\n64799 98218\n8639 80283\n55848 63767\n71629 96201\n44103 54964\n16020 94831\n35445 95679\n32905 56574\n37586 84799\n22275 78106\n41827 57131\n77478 92959\n64921 97472\n85785 91623\n4051 80895\n36783 75899\n4961 96589\n36146 77872\n58160 83957\n74308 75458\n14059 32301\n12227 15991\n87707 94686\n4065 12958\n4572 61298\n13486 18576\n65336 81466\n41166 86547\n91267 94010\n46964 87339\n58622 79426\n85041 98664\n11082 94488\n47120 74707\n63436 96393\n67170 84985\n75224 94929\n27709 47919\n24981 60854\n47761 98695\n42193 88109\n93468 96462\n19522 34765\n83533 89814\n66929 67892\n10777 86547\n48423 99444\n50830 70000\n22804 42301\n20289 89895\n62228 93828\n72540 73848\n14433 56319\n25304 73964\n45784 62210\n32637 41377\n53516 99994\n37257 65479\n54661 87415\n37252 54497\n76655 99570\n25593 93526\n14320 58828\n3867 16366\n38205 85334\n3728 9973\n9277 93863\n2938 47462\n15291 72887\n24319 93211\n36588 65334\n22058 40421\n83939 93101\n7598 21837\n25065 32490\n2666 42539\n14406 68896\n14372 18897\n24559 34467\n37157 81223\n41002 94022\n37886 66657\n54922 62191\n35476 91909\n39417 74911\n67766 92433\n27029 68061\n15263 65179\n3990 73527\n23207 43012\n20127 82546\n15921 19959\n60346 67011\n16492 87195\n56773 94019\n32785 37820\n39380 99085\n2412 79734\n22096 26803\n66113 91580\n29536 87619\n6148 39588\n70205 81252\n7320 84817\n246 76802\n7752 47709\n26577 29248\n10708 70545\n68794 86751\n38019 87598\n7205 78498\n43152 51476\n39087 51631\n54053 80335\n80345 87246\n24920 46855\n41079 72649\n45200 78973\n73136 89362\n53032 86055\n43461 46286\n36690 46074\n49269 96750\n36761 89113\n37527 97781\n49841 83437\n23321 63019\n73985 84701\n61591 77749\n28655 55203\n34417 36819\n2011 17523\n21226 45748\n30011 60623\n73875 79119\n10747 32086\n38703 82363\n19079 67696\n7724 79578\n2192 81469\n8703 92279\n57999 69574\n59289 60142\n64701 91208\n29430 44744\n47043 65660\n8276 85585\n37515 54009\n66802 87147\n16635 20448\n6217 47465\n30326 85994\n31940 69301\n69338 94793\n38669 90727\n39809 55981\n15061 98543\n360 60398\n42091 43459\n61600 67836\n24933 41538\n39866 78041\n28420 32656\n80809 93904\n71239 74324\n2780 18395\n47252 49955\n43255 64841\n48655 91865\n87965 97478\n42923 84247\n34150 53700\n13453 51511\n5828 15970\n18608 87473\n13587 16962\n36099 55408\n65095 68579\n4300 9622\n12487 94792\n11498 57672\n31045 39645\n26337 38151\n11535 41366\n12759 18854\n10292 84573\n13645 59698\n95671 95683\n41304 92793\n53510 83501\n3989 7848\n17842 82250\n4489 39368\n4017 86207\n47356 48727\n13600 42398\n29002 90390\n30236 35218\n1199 2682\n19825 47066\n5682 30697\n37445 57436\n13138 63575\n32907 36398\n14576 22703\n29424 32757\n63341 65077\n7939 94953\n19343 84150\n55229 55961\n23160 65318\n18790 65027\n67987 96109\n59637 62025\n51661 61234\n37914 48716\n13579 14125\n42409 53926\n5593 81785\n64614 66182\n3510 95927\n11636 85027\n17533 50694\n17481 34086\n40523 53816\n25881 46265\n75304 80744\n48283 64437\n49333 85618\n23128 79706\n19408 32828\n17496 59913\n22444 24505\n24224 67389\n38944 64727\n51286 58321\n16964 92369\n1974 33618\n30711 65427\n12888 20610\n54571 77565\n16324 89226\n9180 51793\n22950 26480\n23113 53679\n23843 51975\n43544 75084\n36899 39699\n3936 38341\n53017 62177\n13074 29661\n12344 96334\n17171 48764\n25024 83451\n32194 39183\n13222 65115\n62364 78844\n10218 82281\n69052 94635\n8716 39749\n64565 73478\n67711 74772\n2268 64200\n44319 88747\n2320 73298\n70256 76243\n2907 39497\n85141 88864\n53917 87729\n30497 61874\n4708 53783\n10662 30285\n26585 94620\n7250 76799\n31702 47010\n11439 23199\n10725 53013\n71317 99405\n16823 36737\n12470 87485\n75383 78665\n67302 80212\n14045 20741\n41568 69575\n72961 98617\n38230 50425\n42921 47974\n11343 59023\n14681 43630\n84868 94373\n16986 34210\n47119 78236\n8417 89698\n15287 18077\n44807 54150\n11090 31226\n14089 44155\n1621 99974\n35825 63620\n29343 56878\n28069 35770\n43622 64218\n58263 65153\n28614 51392\n60325 85081\n16568 21292\n18655 35955\n64718 87185\n73370 77955\n56562 67009\n61570 72070\n44274 51283\n63343 95358\n25609 56306\n21083 82498\n41580 68464\n24380 57270\n28438 99916\n17522 66573\n13384 34766\n17314 75444\n93716 97576\n61835 69667\n15564 16804\n60218 78383\n44660 56378\n7300 32595\n44308 46364\n20375 35905\n43127 54888\n1285 57337\n11109 94093\n27683 29291\n4263 30875\n61775 95146\n73964 97624\n54831 86834\n37474 41318\n11291 74625\n39320 79329\n81764 85476\n1469 19874\n68781 75185\n7518 54709\n39205 64859\n21578 99863\n57063 93336\n16289 21269\n9044 72529\n17582 22530\n49593 74760\n40927 84263\n51973 75476\n55794 74190\n26194 81129\n64502 71028\n9237 23854\n9777 96430\n56220 96999\n18128 70083\n44509 48266\n922 27170\n7147 13452\n33669 91672\n10654 95296\n25966 52540\n41112 63328\n22154 64048\n59543 78107\n1124 76631\n29869 44190\n52927 93380\n6317 72860\n33854 52182\n436 75457\n36360 59414\n30176 75973\n48634 60213\n51817 80511\n54670 99543\n18481 75721\n39174 51307\n3338 13943\n32987 55496\n23922 34452\n24390 94358\n6400 22784\n8370 98173\n26607 33396\n8367 55513\n49483 74138\n13901 64332\n44052 91591\n3634 67284\n612 33152\n5593 53006\n62022 91795\n198 33093\n23268 70262\n33378 91689\n11405 43725\n3229 13690\n40219 81830\n19790 59661\n38592 66706\n50276 62353\n65348 92084\n24043 29886\n22894 28819\n19797 26764\n10814 11254\n6510 66489\n20927 92383\n80358 95342\n23750 66249\n25197 91592\n1840 79305\n25213 27536\n3291 32107\n94740 95110\n25042 26084\n24287 50196\n66679 99455\n47910 90401\n61905 73561\n5719 78166\n55120 97710\n13837 60357\n68850 92522\n4836 77228\n55011 57188\n21417 99682\n48453 63297\n34872 36406\n44082 57342\n7593 27109\n15378 47049\n7549 91231\n17899 63794\n80542 94718\n32716 52601\n65625 98188\n6162 96614\n88001 90526\n1735 27772\n35325 73223\n6939 46732\n63277 93633\n16511 56150\n60221 61402\n22674 57879\n28942 97754\n81822 82485\n25300 41063\n40760 56130\n27589 67384\n29311 99286\n34916 81090\n18808 57704\n50250 81080\n14281 54060\n81815 98462\n46743 48730\n24026 95072\n31232 94197\n14537 16810\n29230 59737\n33695 82254\n60751 91021\n35226 53229\n3968 74983\n25727 70682\n37131 76838\n45486 57694\n68838 81790\n1748 61322\n14251 89364\n47785 56121\n9487 37343\n11598 56192\n10017 19950\n10523 67248\n53351 56120\n23479 90540\n47033 49799\n8581 17240\n33127 83081\n12910 48451\n16775 71204\n53802 86564\n19337 90433\n42978 93531\n3237 14704\n67807 75161\n9641 62090\n49193 67855\n49114 67378\n47839 52895\n6336 41009\n11560 36899\n46285 94483\n39622 75179\n64724 99105\n49495 95972\n56714 83919\n26938 69083\n10049 63608\n45105 93328\n10506 42603\n53530 87030\n32162 46805\n14278 34259\n57218 80772\n4568 22042\n44505 79120\n58619 73435\n67920 91095\n43406 84429\n22220 31650\n20366 81121\n16544 88110\n13211 26307\n27206 99813\n32336 36378\n90845 90848\n20777 96729\n26075 61400\n44234 61898\n20651 34456\n35233 64248\n63361 77209\n22750 99790\n37223 72935\n73055 90683\n26339 64115\n44717 60520\n24491 82617\n16340 66770\n90461 98337\n34658 80944\n1803 94501\n27663 86480\n35121 74393\n52838 89116\n66265 66397\n28001 50643\n44222 51537\n1941 91316\n3855 79174\n26805 83801\n49266 80956\n30530 79699\n45197 83448\n1266 62730\n25247 84634\n54146 64924\n14531 74319\n11192 14759\n6049 29561\n64919 90751\n75290 89774\n80085 95530\n13079 95947\n92199 97785\n8299 44454\n23574 81029\n72497 78774\n85198 91975\n43091 97000\n73532 78107\n30018 36339\n10037 36039\n6768 81441\n80637 84449\n12831 90841\n32523 81443\n25761 64134\n37090 61210\n67011 91615\n40525 54750\n75787 94330\n26713 50013\n26523 27470\n82761 88167\n89681 95662\n14646 31565\n29329 84972\n8564 87463\n10881 37741\n29170 95030\n77685 82782\n4857 82901\n18757 46544\n26448 86568\n74458 95124\n46772 53738\n77443 79800\n2548 29164\n81043 86381\n13130 74420\n18579 54970\n18661 22408\n62620 77033\n33203 84266\n47032 84487\n18404 18842\n44193 50270\n2652 34910\n91496 96277\n30475 60102\n30478 60816\n80137 86730\n50439 85681\n81701 86677\n20839 41366\n25967 61027\n4216 12919\n22949 99669\n10525 76381\n17245 41796\n36288 84827\n55069 81708\n54370 74353\n54085 84063\n20809 40890\n59558 83259\n63237 69492\n1407 54854\n41973 79838\n86551 98385\n41687 67572\n60401 64628\n33708 41808\n50540 52372\n8754 39896\n23731 50076\n18973 39365\n3297 31398\n23398 50767\n6436 65023\n2745 26705\n41105 48025\n47152 56537\n41724 66263\n2824 88699\n56393 79748\n23376 32501\n5541 41974\n69375 80320\n32585 36304\n33626 54671\n29838 99221\n4989 31817\n2568 15559\n69955 78094\n9047 79478\n101 38371\n16872 18138\n70364 80170\n32888 92738\n35333 55114\n21220 86402\n27792 46143\n25012 82031\n3055 96843\n29887 92685\n45356 53232\n24434 93388\n43363 75229\n8119 18890\n73772 82155\n6628 41300\n43512 97098\n59737 69673\n58934 71777\n9847 50917\n2935 44617\n3733 65089\n9120 18886\n4057 39839\n15230 92092\n38097 85812\n60942 81229\n26216 66881\n28109 28474\n24328 98129\n30511 55780\n20042 96144\n13906 42005\n29483 30854\n61811 62932\n38944 58758\n52946 57094\n43955 97961\n26604 89904\n9820 30905\n48141 59177\n37342 59808\n36970 68662\n70957 94246\n43265 60219\n46211 78240\n11293 51326\n61632 87130\n29693 59846\n12698 55188\n20822 39090\n13609 27943\n75264 97508\n19039 89705\n52661 84437\n19845 92033\n43970 65163\n15196 35667\n4609 88606\n21697 38594\n39552 81266\n12687 32265\n46949 95988\n14881 28715\n39008 58223\n9239 47653\n33670 94572\n35881 93550\n50350 81081\n67070 83760\n12656 38219\n22485 26934\n50076 81537\n85617 91900\n21880 51003\n9258 66959\n39376 60570\n43902 52693\n55121 66123\n82285 99756\n45481 77215\n3366 96101\n29333 61189\n9323 67285\n13870 43402\n4612 86894\n12181 17482\n26791 86508\n47532 51743\n18308 78730\n25405 99575\n34492 77927\n24249 33760\n9786 67429\n26208 31438\n75826 84754\n19471 92502\n13038 74042\n46539 47973\n24873 88304\n9545 61504\n23481 82509\n45212 78324\n90746 94284\n2550 44146\n10973 75352\n15531 71215\n75132 83995\n34509 73962\n63692 67180\n34700 61520\n48560 68175\n46318 77778\n27809 74193\n19690 35833\n7611 86321\n19336 59226\n9304 26419\n57385 69288\n30050 91815\n14287 74941\n59943 73337\n5862 16020\n38198 98671\n39877 79482\n33005 54359\n36573 60018\n3035 46583\n76028 87786\n11995 79510\n7627 55702\n10110 43190\n17623 28632\n58144 62437\n39240 47258\n39304 68925\n30672 59078\n20820 27253\n74842 75594\n14974 73634\n89729 98419\n21049 65075\n25854 46618\n4682 10777\n4098 81029\n78130 88793\n65960 69320\n5908 94124\n36718 67291\n1556 20747\n53553 92478\n18762 39832\n22941 78709\n37769 81740\n3028 8977\n84835 88223\n39855 81942\n16995 49852\n43894 74997\n31393 41192\n42944 52312\n217 2958\n5061 12930\n6571 19648\n67698 79427\n12292 87125\n15505 24391\n26145 85994\n79165 80403\n70818 73357\n61027 62802\n7507 8358\n13101 93208\n28189 87743\n3253 46746\n25963 99639\n45308 64040\n51487 64102\n10545 51915\n40275 56033\n14470 66581\n26183 26280\n28061 94108\n42105 74481\n41194 68546\n33906 51362\n12944 20963\n33758 99022\n2893 46480\n84099 88152\n21804 31368\n38980 63128\n66256 95695\n59016 74187\n58259 68178\n62107 92871\n17967 41558\n26277 90278\n79450 96001\n23776 87717\n38575 54066\n2663 29846\n38390 38817\n11482 87776\n65183 67000\n50501 73856\n37530 46267\n3751 61388\n39072 61609\n29589 44452\n48875 72263\n94490 99166\n22767 50487\n920 91908\n33625 72810\n12713 52724\n77024 96039\n22026 40916\n36572 70320\n9448 13543\n46212 46464\n552 73413\n10571 25414\n14270 83044\n997 67727\n58292 71613\n48505 83766\n65421 93741\n21092 60332\n20102 84214\n28540 73869\n7242 25845\n25449 48670\n38145 52190\n35237 75151\n23935 99919\n23105 68277\n57511 64641\n36772 79204\n9253 48835\n42681 58600\n31836 39219\n84674 99507\n63677 87056\n93199 98106\n45882 83590\n8095 93554\n15453 66607\n14733 52277\n7058 98608\n12208 89820\n17908 87146\n15756 34233\n48886 81899\n21416 71635\n39193 46108\n44086 70296\n18680 74843\n43681 97460\n16902 77080\n14506 52511\n40644 72129\n75663 87271\n20786 62704\n54017 94283\n1425 70242\n5895 97276\n34168 73100\n57117 90246\n17127 81253\n35190 80357\n3729 99650\n47331 63136\n42150 44438\n27000 88260\n45363 98654\n57137 59422\n31505 85475\n32304 44626\n11064 99372\n60997 75868\n26181 35074\n44703 68884\n4501 53764\n19978 95821\n6294 79131\n35055 91724\n39263 87575\n91381 98021\n7438 58958\n33518 63296\n11140 53756\n4018 83672\n19440 67500\n80986 94757\n46832 52450\n18447 94860\n2365 64077\n15179 50314\n60535 91060\n8921 21324\n4603 15106\n55870 90586\n6235 71379\n75507 86971\n25539 31795\n77017 79844\n18335 26036\n85042 87229\n16783 50984\n2124 56915\n6924 82134\n36256 89506\n52792 91584\n75824 92276\n21880 74461\n19957 92422\n10292 61452\n46150 77020\n27502 97370\n18811 33313\n31378 58175\n7856 46831\n44742 80021\n7449 36749\n34259 67093\n45361 63617\n20569 71683\n24626 81165\n39983 81796\n30617 76773\n27567 38503\n91526 98082\n32174 50568\n62374 96211\n38289 67882\n53631 90138\n429 85193\n80738 91024\n16236 67968\n51056 81584\n64633 68238\n64387 73571\n65419 92821\n17072 29367\n18383 78485\n21278 72506\n39117 90254\n44676 99975\n60414 66256\n13484 67077\n4008 38776\n21057 91698\n3383 75754\n7987 77690\n80977 90718\n19560 66066\n58209 89184\n43978 50632\n36420 60127\n12839 28213\n42963 47396\n35175 72063\n44338 96932\n15582 74594\n8403 38850\n44639 86987\n40035 68452\n52719 75229\n26039 39769\n66164 80131\n17497 31665\n31761 57524\n71656 99726\n14021 78391\n6120 52697\n43171 56795\n30413 76805\n27536 97792\n34676 57088\n27603 41973\n62745 92521\n21245 66999\n46329 71041\n66597 70996\n47655 49597\n59403 84314\n47251 77131\n19037 87883\n35345 89713\n4428 49434\n31197 88042\n28998 54967\n12717 19409\n7733 71589\n25868 48478\n50724 64547\n20050 65453\n4158 34890\n5843 28119\n30717 56453\n85039 90774\n13676 43640\n11493 47186\n16663 21196\n40665 66809\n10480 31906\n73683 89239\n48113 79831\n40476 61670\n2819 92896\n16990 81305\n30349 84246\n37431 56690\n22634 68109\n9519 11427\n10710 87137\n4678 75594\n72757 80478\n5120 86420\n65831 74059\n31652 89009\n8115 60971\n17984 70334\n27199 94689\n16008 62868\n11472 32564\n4418 53800\n36827 70700\n15352 34816\n11368 38361\n30469 44486\n29152 43198\n3595 53495\n40554 86475\n8909 78314\n60835 78378\n14984 27440\n7655 37992\n18232 47202\n55312 57931\n5650 35455\n40341 71632\n49484 51128\n20278 82976\n63278 99086\n65976 67431\n23118 45182\n20005 77773\n70119 82098\n17000 30374\n40932 93696\n31522 89916\n39826 42175\n13176 61962\n15369 88255\n15275 27204\n14953 32726\n87095 94623\n10109 36077\n21999 71652\n12765 62691\n20288 25157\n1918 13690\n68524 77394\n34590 57999\n10538 67100\n5150 60769\n56118 90476\n12256 40298\n62848 69855\n41995 80953\n26732 54327\n72608 73754\n26047 71466\n30043 62893\n22601 29736\n17841 62618\n23869 88787\n37049 76265\n56319 73752\n63714 78681\n24944 35443\n22507 55633\n64279 72718\n84761 95101\n39684 83590\n32323 32426\n8768 47481\n84450 89956\n17241 97684\n20515 36119\n32438 87704\n26 90042\n2438 17332\n44135 56041\n3094 44447\n8000 32361\n38595 68267\n21721 22265\n41581 74485\n4959 7912\n6827 16077\n49486 73863\n17358 72570\n7150 90113\n64845 68753\n16483 97400\n51724 71618\n58129 80393\n51736 81319\n14251 67348\n35736 59198\n53737 95885\n23274 79401\n34696 45856\n46319 61341\n66635 74007\n35238 87236\n88441 89584\n21285 65683\n69286 83385\n34294 61983\n15446 34738\n23877 33874\n3206 92562\n78854 87267\n48164 94683\n4411 92059\n6134 55389\n36131 69545\n24168 79315\n16252 75232\n22344 91757\n4247 94992\n80281 93506\n43951 71477\n55464 70731\n47528 75136\n5379 73509\n24934 50839\n68117 68476\n16622 79577\n59033 89304\n57539 59732\n5504 22464\n85042 91165\n5699 17218\n19391 82254\n21752 73243\n55703 82525\n3370 53198\n81857 87015\n48251 76664\n23314 41053\n48556 64342\n11593 29632\n46062 97288\n17203 42200\n41885 67039\n74555 90365\n75002 80881\n46123 86881\n9616 60522\n24835 88709\n5769 48507\n68245 76566\n8088 73283\n6614 26362\n7411 90652\n68918 98374\n2407 38147\n55484 58079\n25917 65456\n64037 87399\n17667 58929\n41679 71375\n35316 69905\n39730 64572\n52772 62387\n56324 77873\n40496 46781\n12499 41589\n98624 99715\n2247 62456\n5811 11020\n66813 76691\n53297 76674\n35736 50965\n19588 52949\n71163 76419\n66784 95672\n21836 80522\n15131 77358\n73074 87476\n9765 51586\n67734 99962\n67163 82271\n7077 93239\n24602 30736\n43271 58199\n25707 53579\n13629 93062\n39454 72769\n14425 19435\n61099 96980\n19161 79988\n34503 95362\n20652 60174\n25140 49222\n17572 20731\n8361 29262\n13918 35755\n68616 85639\n36841 41469\n4634 11260\n41528 92016\n4971 34684\n21984 93971\n38846 84392\n30801 67594\n9576 49076\n11326 75066\n25244 84819\n20027 66329\n23210 57662\n34571 52983\n34840 78207\n13298 42973\n40726 55611\n31289 56959\n80475 95181\n8356 27379\n34615 93900\n74330 94036\n66498 79592\n30644 82041\n35133 88349\n42761 88665\n32698 44898\n26062 27399\n63445 84893\n13688 55952\n53970 66061\n15294 67807\n42665 61074\n23467 34820\n34493 50313\n30646 52711\n43668 84558\n62765 91939\n38489 81234\n11334 52004\n15599 21582\n26929 51014\n14045 96297\n24633 48065\n48595 82939\n20861 67022\n61839 90543\n37502 40754\n47746 96363\n57684 68388\n3101 5405\n10566 98596\n5966 40836\n3320 33961\n3614 85099\n39478 52219\n39198 64992\n56354 57336\n14421 56465\n59529 76599\n46245 81975\n3382 25345\n19235 62028\n11542 71449\n32791 49569\n11802 59511\n65290 77193\n30066 87890\n10622 56777\n811 57118\n55843 59608\n2173 87030\n15303 43374\n35435 97408\n57098 72753\n95624 97393\n12863 52197\n33647 33873\n11355 18172\n26208 68576\n52780 54274\n14173 74853\n18246 27060\n76410 86313\n1100 58979\n6457 31023\n4113 96864\n34778 87263\n7623 97045\n33765 34145\n44590 97021\n2423 42672\n42837 80374\n57003 94220\n34096 82195\n4891 57509\n19743 54697\n65191 92475\n35390 67155\n16084 65252\n41115 74851\n67269 95839\n18116 48914\n95219 97064\n24232 63798\n9158 23486\n10515 32304\n10590 51567\n92938 99869\n21173 29543\n41064 58218\n35829 40456\n68738 72091\n53823 82950\n75418 95909\n62562 90875\n14286 14341\n43555 48516\n39257 87519\n39942 89927\n6826 33193\n32903 55484\n38733 62693\n34761 70853\n76 71577\n15176 64292\n33198 69776\n40724 92051\n2471 21860\n57941 81094\n31062 88903\n37022 63841\n20842 23767\n23757 84288\n8667 60196\n26758 43124\n14727 67183\n23545 91055\n52527 62199\n8154 52591\n15559 20137\n19959 29674\n34412 57491\n61314 87782\n34855 34982\n17917 23965\n34559 97122\n29449 59167\n65303 86290\n49375 78472\n42591 79918\n90268 98761\n36073 83929\n66873 89673\n59697 76772\n30155 43865\n1957 23182\n26824 41064\n54211 80589\n26951 54275\n4451 97320\n13430 13486\n18464 97707\n5830 73566\n23568 29955\n7445 17517\n3393 11181\n43458 95984\n35806 73455\n23047 55506\n33219 90930\n2845 16197\n3906 68053\n25117 69739\n67813 88311\n48467 53698\n45862 73142\n64642 94527\n10474 83942\n27551 78396\n44265 99331\n32393 70214\n32350 47044\n22902 76014\n1702 80164\n61707 84539\n1713 8481\n13904 88047\n13931 18230\n36647 89649\n29285 51612\n5657 17479\n6285 17077\n22706 70646\n8874 64788\n35986 77624\n3385 8646\n4091 67404\n26102 92881\n3262 98577\n35203 88724\n47804 51642\n17672 85578\n28834 77258\n8138 43122\n54401 82119\n1353 91539\n49067 85164\n22988 27545\n13301 60865\n540 87270\n78948 86463\n9956 57186\n5951 98090\n86998 98470\n10918 90114\n31746 61058\n12477 57545\n44872 92990\n46720 87486\n43147 58644\n17823 43506\n33176 57985\n25850 94375\n20792 91806\n2901 53268\n4830 35469\n14808 28847\n2221 71985\n10625 47586\n26923 57317\n29621 78609\n8456 92426\n8364 83525\n42180 67210\n5669 98573\n73123 78987\n25992 83150\n10071 15492\n68744 99523\n15782 68809\n2233 43453\n30773 87955\n24038 64058\n16894 43634\n73179 97879\n1855 18562\n47879 72255\n38351 45981\n79638 90721\n14171 95828\n40798 45258\n21324 86454\n79706 96067\n48204 95898\n34893 74096\n15416 75041\n19861 29717\n61233 61601\n57114 78778\n11809 67272\n41164 74987\n16404 39434\n14544 85285\n32741 38447\n44900 68468\n16787 96813\n7608 21319\n54859 75770\n4973 42834\n42782 43703\n42767 79087\n32811 75445\n1925 40514\n50813 65351\n54469 74331\n69189 85900\n8178 46878\n24522 33768\n10742 27665\n70060 71394\n18923 66050\n1919 3405\n77423 91255\n51827 62085\n26638 81443\n62242 94435\n20762 68378\n27889 48210\n37514 50619\n20476 46548\n65443 91168\n30221 98399\n22153 47654\n22123 98277\n33420 70039\n30433 50241\n22870 70132\n81236 88592\n6001 33254\n41638 62263\n1397 39246\n90557 97754\n14996 97876\n24562 90019\n23227 25170\n86004 93922\n15678 83953\n25602 84461\n15944 47892\n8736 37497\n30066 69383\n28836 31386\n5153 82531\n52130 66412\n62922 74119\n43590 62558\n44136 66485\n77598 97372\n31289 37997\n14365 22380\n33860 57134\n28443 96408\n46765 69982\n6528 22083\n7635 65991\n6569 70750\n31936 67302\n20680 83719\n5542 63762\n43610 80877\n7466 14476\n21821 52699\n2932 64141\n9838 52342\n492 2764\n8254 15701\n49610 53876\n10488 32845\n5996 53131\n23755 68444\n20376 91068\n25501 99511\n27538 48565\n12158 80774\n41476 87032\n40453 67702\n37187 47657\n31583 52436\n56205 72606\n35423 66406\n47292 89937\n12845 34641\n22297 86660\n37689 62276\n22380 25949\n16268 32335\n70807 78158\n441 55178\n32672 73056\n40243 60280\n36094 45728\n87899 92716\n63918 77190\n56478 76384\n12594 24375\n48469 95470\n10285 51289\n567 27737\n33741 95111\n49638 56401\n32178 90775\n28767 29857\n37175 74429\n31932 34480\n3991 77773\n30381 71500\n19028 98937\n12898 45039\n79564 80601\n80362 87347\n36466 89259\n3970 31452\n68344 68816\n4611 77135\n1525 56404\n1100 88091\n8773 96138\n5541 54627\n14096 18320\n47941 87897\n84347 98334\n21509 81419\n70445 73357\n16008 69708\n1778 60375\n46712 59600\n34139 92905\n34278 73362\n88870 94926\n62620 90464\n37268 57897\n12639 76413\n27935 53529\n58750 65614\n15230 92207\n21325 93257\n75837 94246\n66201 67544\n9481 23811\n31895 92672\n3736 59736\n35714 42974\n73222 94574\n41799 56991\n16184 92030\n49905 84236\n72216 94611\n66998 81559\n43080 72267\n77787 79934\n73858 77404\n82085 84203\n18082 18132\n20601 57485\n45940 60946\n54909 61537\n56133 71136\n85726 87364\n5625 77488\n16127 16790\n4555 6468\n58360 61055\n90266 96746\n30013 91167\n30727 57182\n8145 45171\n9281 30661\n22339 39530\n2800 49027\n28187 49851\n69081 95582\n83757 93499\n20395 31092\n33733 82035\n34414 70318\n4371 56964\n42465 64167\n16485 33065\n18419 45913\n39925 98866\n38810 74779\n35084 78234\n74641 84049\n39922 96406\n18494 79570\n73429 87201\n46726 66313\n38958 93241\n32172 96070\n35055 57529\n25440 43117\n51482 67620\n9931 84364\n2403 7146\n25858 32083\n52214 79271\n6839 79613\n22385 37588\n33811 94244\n35336 87249\n26984 27532\n29093 74437\n45549 60653\n30763 33084\n80712 87116\n4136 57645\n53884 81360\n5289 60879\n20839 76646\n54833 99123\n57662 64014\n64776 83135\n35807 94204\n7018 52378\n36288 61876\n89763 92090\n11007 60076\n43341 78633\n1202 28732\n7320 62176\n31955 59345\n14995 93782\n33721 43533\n53600 89044\n9385 37330\n12996 21249\n45893 50079\n58426 67370\n26507 35482\n66621 88721\n31112 45342\n33550 60209\n29979 74728\n57400 89569\n33978 72603\n9491 48071\n41811 75235\n8429 42998\n10285 72905\n68259 69002\n32859 79104\n47003 93587\n2813 10143\n11181 92922\n50240 67017\n82530 95784\n65003 92315\n6285 76514\n4316 26064\n20143 60294\n55913 75831\n17940 78891\n33429 49221\n69216 82353\n71751 81676\n56482 78619\n19723 26782\n76145 97046\n36602 77179\n6392 13518\n62392 79581\n15461 35161\n3054 57132\n5944 6379\n11291 51727\n49030 94805\n6541 97523\n81585 97669\n17982 54783\n12361 89556\n62815 96912\n10549 94118\n23587 39342\n24637 54174\n9313 52030\n39203 81835\n41466 82706\n49740 78836\n17653 82731\n11321 82087\n54300 91809\n28325 89149\n22289 72463\n17024 84175\n27216 70541\n11443 74573\n46034 91349\n32286 47999\n14681 90221\n83904 87801\n6104 41531\n12599 94519\n67650 86961\n36127 81274\n73404 93971\n22851 94846\n59200 79489\n11155 53670\n48826 61271\n74601 79310\n29213 36761\n58224 71402\n79303 83445\n28028 33016\n7106 83395\n69623 88735\n60312 68285\n16572 82529\n73 66826\n28238 41470\n27093 85833\n21062 52085\n52587 59220\n75142 85062\n6885 48950\n4252 53096\n41330 88974\n1587 37967\n35193 90450\n9684 83538\n34911 55829\n9863 11430\n841 66072\n30286 47189\n41010 67711\n30782 73715\n7937 78000\n2415 72960\n48877 78217\n45188 72597\n11846 19358\n60365 72621\n45055 58839\n860 60421\n36068 39736\n50947 91728\n25303 49215\n17622 23875\n17865 27031\n47643 84286\n49652 64224\n38050 64949\n22276 37760\n26332 34940\n45984 87786\n67248 88746\n70398 85129\n14344 71758\n3546 22275\n15509 23323\n7091 40557\n19203 57692\n3880 16484\n33078 82667\n41254 80549\n36418 39240\n19231 81024\n19131 46568\n80684 82243\n16879 21926\n37564 79893\n24957 75244\n18573 93044\n35253 71977\n43679 79596\n21340 75114\n22957 38766\n57243 96806\n37863 46269\n57693 90300\n1071 13100\n20834 29657\n27815 53770\n20935 21951\n6539 32503\n9572 43826\n11105 34594\n56937 78134\n40336 99928\n12082 84310\n45841 90531\n82102 95538\n39481 92094\n79532 93560\n69956 70771\n41779 53818\n4474 40254\n9991 28799\n9089 33874\n72499 90737\n46968 71548\n10795 48382\n4073 80983\n6883 10947\n27496 57819\n25429 72652\n24084 71156\n87648 94987\n21321 47762\n12581 94425\n2441 55621\n11257 74899\n25746 87159\n69290 79899\n23445 63622\n60470 63576\n73210 80876\n20771 85925\n33861 69441\n66991 84230\n38839 44404\n7993 56886\n64060 73154\n39826 86927\n8707 23335\n4091 20389\n3822 6959\n36686 85931\n33623 73622\n33283 40157\n15534 16534\n6939 45478\n46278 47318\n16400 23531\n49108 77962\n54737 79749\n42925 85626\n7857 82540\n63139 99456\n30303 36491\n67312 99276\n9825 61222\n18760 71395\n29061 73681\n15232 86045\n3831 17998\n57672 68006\n67980 92998\n37928 59005\n15520 82897\n48829 85726\n83395 94189\n44900 95748\n2209 10403\n6252 83300\n36047 62158\n2209 67095\n59568 84314\n55173 77841\n90728 97543\n40795 68553\n26144 69757\n36216 88943\n82677 92053\n5290 84249\n16866 54953\n32700 38381\n51240 85279\n23441 54446\n49392 88127\n1003 94640\n4128 19226\n489 96221\n27741 56547\n69490 74353\n43844 64252\n96073 96601\n32119 80616\n43305 74083\n31434 73704\n48495 79485\n2929 86973\n92755 95533\n19958 92838\n22954 28619\n13758 43023\n6755 41783\n91242 99496\n17295 36079\n2029 70153\n29485 85708\n52654 72901\n25040 35790\n26090 88479\n61885 70510\n29197 76649\n33421 67324\n27283 59247\n45401 65336\n324 71592\n47750 98099\n16308 90434\n20654 48806\n12945 79968\n56287 97322\n32232 59919\n23146 26115\n18989 54317\n51462 99961\n52478 73271\n72971 73351\n40451 65699\n33738 77639\n48616 72600\n48601 71888\n47539 51543\n3526 71235\n76138 93203\n3691 44431\n45668 64837\n80516 94964\n62790 71119\n82148 95076\n16457 48675\n1809 14918\n30312 50966\n39528 73480\n29127 85534\n91713 97189\n60120 90796\n11433 15325\n7229 26571\n54194 68870\n31218 52500\n80353 84431\n2296 84246\n27858 67880\n8770 92629\n28208 38775\n31462 71067\n13983 92313\n3832 61394\n16648 22392\n2393 36022\n5383 45603\n50910 59968\n47365 68451\n3522 34358\n23213 99693\n45290 58279\n17321 50579\n68765 83296\n67396 84639\n19926 39825\n6157 22988\n3996 70508\n78737 80074\n9778 31860\n7611 21799\n45264 72232\n8079 77905\n66075 78388\n41302 73575\n42200 86911\n83417 84358\n43896 95051\n40743 68092\n40389 86136\n4444 10850\n10051 48008\n30461 46869\n8038 87507\n15597 16590\n91688 95408\n83964 99219\n44576 52176\n92997 95198\n29752 55207\n79506 84532\n13346 28291\n51205 97287\n62644 70571\n52847 71448\n2166 51506\n9799 30414\n26211 43024\n15081 94334\n16667 89852\n7412 75355\n34400 59916\n39791 67783\n2348 49789\n70106 70210\n3554 91065\n36971 92537\n78029 90662\n52007 89683\n16969 40543\n22029 91145\n18732 23583\n18591 69678\n26764 67932\n32137 54231\n18035 39168\n61220 82291\n33301 82941\n2338 16624\n7096 68522\n3015 32020\n12821 54318\n25002 63969\n17738 85693\n69269 98864\n25230 97266\n46728 67572\n7291 76023\n5655 91537\n37362 96501\n26252 28980\n58907 85351\n64052 98845\n62610 68508\n453 82062\n12563 60953\n30429 73387\n2778 79107\n44065 46807\n36850 96375\n3760 84323\n69391 98793\n32067 45547\n35513 69229\n84144 92558\n31364 33103\n3922 76210\n38212 45658\n30372 44682\n82309 90716\n84110 98357\n5635 55803\n642 42727\n3337 63039\n56734 77934\n54332 92350\n60946 85079\n3964 36469\n65903 79391\n20213 26386\n45863 90237\n40780 61196\n54086 75906\n9565 83029\n50852 87175\n44221 76637\n14771 54226\n65221 65224\n39440 46335\n5745 88756\n17689 35195\n949 78561\n23309 67956\n24190 80624\n34274 57299\n4821 51661\n50283 72397\n64114 91521\n14743 31139\n14456 89201\n22878 25881\n16708 22282\n6216 38855\n39273 74859\n81046 96941\n68666 96426\n1203 16949\n18347 36429\n29299 81048\n13034 93470\n25791 60947\n29523 43208\n62858 93226\n12536 95749\n40878 89953\n17558 27075\n2491 73308\n20731 22328\n2261 49184\n10234 28202\n12159 68712\n56409 83394\n16694 67548\n48059 87393\n4723 68883\n74263 97534\n59271 60436\n64589 80284\n15733 77993\n63710 83510\n57872 62371\n24058 50666\n63876 72161\n45234 96411\n34641 62551\n9457 57058\n21551 73227\n2076 97556\n62151 95558\n30150 38916\n45155 95816\n65784 85733\n11588 22863\n10365 88235\n12647 72685\n32967 74139\n1626 3046\n18481 84864\n22105 65098\n55294 96984\n26074 45535\n71460 79274\n58367 74034\n12232 34098\n28320 50597\n22647 53636\n41635 70651\n28454 91713\n42517 68171\n45266 89721\n22228 60560\n2024 13819\n10151 38721\n44320 95094\n24077 74558\n10961 27933\n77938 92223\n80600 93788\n75280 87110\n70132 90612\n59155 81611\n13483 31707\n13080 65376\n71606 86711\n30265 91468\n78340 94993\n53284 65640\n27217 44694\n19690 83099\n56566 63394\n9388 31845\n12517 62315\n79337 90174\n40654 62436\n58366 71958\n60067 74785\n4228 76082\n82846 99761\n19476 59339\n53528 75066\n54748 97308\n29918 73568\n25771 53248\n29486 52615\n83546 88036\n12521 12952\n50639 93149\n10074 80367\n54580 97715\n33670 96678\n38697 47336\n37660 76185\n4295 50112\n41284 79636\n32388 39658\n60412 80234\n24052 43049\n90892 91673\n38568 65808\n59448 63620\n47262 53709\n873 80985\n5825 60205\n26422 36752\n13694 61318\n6871 46887\n46096 59579\n20878 61062\n32910 90696\n23544 78013\n22788 29087\n92734 99758\n9817 80615\n31518 46982\n61979 99244\n55435 99081\n64503 95780\n18830 95502\n23615 42202\n4794 49006\n75632 87953\n18646 32149\n45873 53092\n3886 82649\n43373 55697\n5160 84134\n22784 61227\n39345 42222\n20082 33487\n23585 95269\n37688 45228\n10013 76070\n31252 88969\n2490 10036\n96401 97828\n3369 15649\n29695 61772\n38844 65645\n69377 94195\n1740 38787\n23480 87049\n13779 97125\n24219 32833\n47154 80637\n45975 52880\n18881 54153\n45360 49411\n17555 66373\n61284 84621\n25718 97252\n14018 60443\n39047 61703\n205 65775\n31488 69147\n3231 96913\n56995 92654\n5024 18838\n42165 53507\n20624 45102\n26168 91280\n30226 80530\n47826 76664\n26293 67271\n48437 62914\n73531 87235\n9657 92985\n29233 46381\n13646 59351\n20288 85454\n6585 10851\n70392 92524\n18211 36677\n1429 93129\n35678 86653\n11246 48659\n29555 94718\n17666 65722\n27365 99801\n54241 69661\n62765 76390\n47838 66895\n44971 98934\n14925 81874\n28545 87970\n49400 60832\n87993 91942\n47137 56283\n94758 95447\n24543 61334\n41030 93543\n6921 87946\n36061 45201\n19142 87626\n62354 88913\n42849 52217\n13180 43572\n23214 86217\n2608 30865\n60820 63488\n31931 52974\n21439 27241\n15982 38581\n63693 65312\n56620 84752\n29640 79165\n15733 88415\n56920 63632\n80155 88545\n18026 38177\n38049 57424\n73079 74657\n81289 97788\n14474 15414\n27330 81649\n8291 70456\n13307 91359\n24881 96333\n2929 37730\n17730 97772\n14660 70658\n74758 81416\n15321 90866\n40038 93336\n34023 87054\n9141 45011\n10866 80776\n24728 90471\n61712 65824\n17748 43872\n35668 97565\n1488 1784\n44707 72302\n46285 66363\n65981 86534\n61047 78193\n61022 63023\n8934 66067\n1929 64542\n13666 74405\n212 84121\n87259 98287\n23006 32813\n2292 83505\n29139 74232\n5255 66885\n49451 51401\n44897 98122\n30899 37256\n17759 54856\n17021 17720\n64220 65512\n68701 97786\n60878 88505\n45530 83734\n15001 27337\n46700 95771\n49839 97166\n33372 64458\n3218 3444\n52788 89074\n57431 92379\n31350 90564\n9117 27324\n48765 94987\n45391 86922\n96348 97483\n708 3452\n67849 70301\n52443 83851\n40316 52896\n675 16936\n8851 11384\n31256 31332\n2435 44576\n8854 20754\n42490 49004\n14244 67662\n91083 93566\n50215 87051\n11165 19633\n45287 47320\n2433 65392\n94 68331\n3932 83242\n45688 93892\n74385 80618\n10828 54780\n81586 94461\n21401 31632\n15252 67557\n79017 79937\n37987 88393\n27450 37490\n24615 85150\n64400 65082\n64283 88797\n59077 92267\n6000 91753\n9735 45807\n17683 96494\n25935 43514\n30443 83314\n2522 44472\n9622 80266\n15518 93341\n26490 84007\n24103 90884\n466 56303\n7735 60671\n23202 92485\n27109 67899\n80355 90147\n51531 59606\n12564 91869\n26611 46994\n51369 71536\n16298 25649\n73361 86937\n19787 51279\n9398 43252\n12236 51586\n79078 88149\n31765 96950\n42202 42569\n46458 66360\n57944 96088\n26902 44084\n35976 84232\n23885 26789\n26346 46348\n14383 69986\n10959 34443\n82632 85913\n39246 64493\n15361 32452\n36668 63990\n25658 27510\n8406 37704\n99107 99855\n57277 83228\n38521 46945\n11162 97644\n30897 38214\n1159 22146\n88926 91211\n25005 99161\n57973 75235\n47244 93996\n26017 35526\n1388 27403\n56242 91795\n14673 36081\n6474 54061\n32420 70378\n42446 95335\n67622 98337\n21611 94784\n36160 78845\n35925 48876\n80559 87252\n31925 60070\n78305 96593\n30046 92210\n19703 66400\n5720 73615\n14922 48655\n11944 78497\n48339 84964\n72597 81107\n48952 52218\n9120 40323\n21149 83142\n44663 65015\n77567 77810\n22120 53505\n15622 81647\n51402 91346\n56258 80786\n4846 71305\n77334 87654\n17803 71862\n32729 64547\n61099 84434\n11749 80002\n42917 43931\n23872 60552\n65148 99574\n38872 86544\n27213 48889\n24533 42373\n29701 98345\n5019 17845\n72419 72503\n12244 27346\n16574 98720\n30881 55617\n43068 83892\n43381 58869\n74644 77151\n16560 47921\n79212 94730\n30014 37403\n49216 53316\n33959 39716\n51884 80705\n28384 37925\n44698 65612\n29484 83715\n8075 26740\n28003 62387\n48702 86673\n8215 85393\n11252 91245\n54807 61369\n26640 54159\n60178 70133\n51274 77876\n13724 82135\n9697 88669\n84832 90599\n3492 59338\n3316 35871\n66652 77732\n20797 43118\n59542 77505\n8497 60909\n24737 42363\n18053 76044\n37041 87532\n26581 60078\n40887 55552\n22865 47182\n40461 81641\n47838 62325\n80651 86395\n73775 84928\n72674 82326\n60559 63297\n34404 45913\n17403 64721\n51477 56872\n14028 56461\n68560 97954\n32801 74028\n13865 45490\n8574 46421\n2271 32561\n57383 66118\n39912 96402\n11682 50832\n27836 64939\n48413 89800\n46856 83155\n16549 73421\n39937 75008\n64129 78557\n43701 73264\n29815 44533\n401 4302\n49736 74663\n26154 93283\n11678 74653\n29936 67689\n9699 67896\n32582 69155\n37169 48110\n20969 76043\n61862 75201\n8978 62118\n13423 83937\n49530 81034\n73745 94868\n51611 62659\n58453 58908\n7525 77439\n4990 79302\n71500 96138\n8518 51090\n47022 57835\n7394 94739\n38725 70670\n53977 78939\n24311 58378\n35995 41249\n43227 70624\n13070 29601\n4255 27243\n47936 85138\n32377 41135\n47645 74291\n1839 46220\n1226 67461\n24466 27992\n22562 96221\n35712 99303\n19709 28655\n24997 61776\n68413 99742\n28022 88515\n58020 92567\n32336 95892\n1667 73956\n58509 64984\n48696 99301\n9775 13530\n19178 69072\n46286 55727\n49050 72709\n30060 40616\n45737 67774\n63609 93315\n6026 20229\n30910 43507\n47020 92461\n11869 77430\n30667 60081\n6845 54081\n2844 83798\n47342 49812\n37633 41747\n2942 94092\n67855 97557\n5001 74416\n19655 33430\n23409 95171\n62748 87379\n15514 45423\n33152 68489\n11936 29478\n31926 51732\n32466 73727\n61263 98284\n72991 99836\n23269 87273\n25215 70942\n7803 72358\n65460 80030\n20740 49286\n1485 20062\n2907 51176\n18521 30407\n20896 86515\n60015 64708\n62938 82455\n26832 72841\n81326 92172\n14138 77521\n43264 90634\n22176 75263\n48531 57777\n53744 70847\n12242 56550\n72788 96213\n27926 96689\n14324 95745\n36688 62769\n9823 91796\n71666 82732\n12539 22527\n27203 39330\n14520 17624\n28222 85609\n46256 95680\n55500 94130\n7666 11787\n13239 95791\n65179 92812\n63078 84419\n6508 53780\n46576 54127\n21799 61610\n34370 47035\n4121 39565\n54398 68970\n21906 76042\n7574 76382\n13328 36071\n8166 83305\n8069 48009\n33629 60627\n27865 82926\n8792 34256\n6862 51890\n4209 21382\n142 77470\n18498 59570\n7312 94560\n55756 89869\n28633 70894\n27292 77288\n49566 80945\n1900 93725\n34449 92373\n27678 43140\n40115 67420\n2844 79284\n51706 61222\n3975 16020\n16377 20466\n32179 64755\n78501 87232\n64732 71428\n36211 64447\n62401 89967\n268 62176\n15885 65668\n55734 82826\n4181 71656\n47895 63256\n60830 73623\n53332 70317\n12228 50085\n44201 86929\n45833 99820\n4984 38203\n9440 61450\n8915 94187\n84277 88581\n62439 82630\n53466 63828\n34860 44122\n19272 40234\n46573 47794\n1754 99594\n55599 60250\n67152 91773\n10602 48273\n36647 45323\n9976 79108\n56618 61680\n65455 90221\n25537 73132\n17899 90426\n25506 34264\n3772 72612\n325 94784\n50316 77296\n24773 38348\n52826 64200\n8232 97963\n33767 42665\n35963 59975\n45760 95260\n7643 34920\n59150 59800\n88418 91638\n8512 59280\n6903 48131\n45156 85702\n26605 65309\n28746 96798\n11114 26794\n26776 34244\n33184 67182\n15127 76557\n4411 42841\n23510 68066\n17939 21475\n53598 64942\n20034 64204\n21427 76534\n57496 87942\n95462 97403\n39194 70516\n19656 55443\n53479 87378\n25231 96989\n31541 46035\n6183 68834\n25505 77518\n16816 94534\n23343 56956\n69116 83356\n91452 94707\n13213 14438\n35880 83238\n31031 45353\n21061 90412\n43715 68462\n3063 34298\n17013 71034\n25707 60577\n20889 42617\n15363 80540\n69371 87252\n6668 85457\n55948 95233\n866 9266\n36543 96526\n32456 54772\n58847 79466\n74168 94651\n57941 68366\n50485 86568\n58150 72864\n37511 49906\n30004 84130\n50310 90074\n3378 43117\n5658 17735\n87262 91988\n63753 91068\n39439 80597\n42636 57498\n25552 90304\n7053 61987\n48715 55490\n40923 76536\n32936 43488\n32012 97728\n14247 18154\n66912 78247\n1599 71633\n40408 49487\n6431 98218\n7729 60289\n3248 46512\n2140 73474\n15161 63855\n68961 93839\n93481 98668\n16676 32974\n75207 93440\n20599 20787\n93516 97335\n46946 87379\n31544 55203\n27470 38313\n35913 52431\n35866 50462\n19498 95489\n1831 37758\n9260 35127\n70763 71898\n4352 69507\n45883 50519\n27247 28671\n62756 87932\n15294 89731\n74510 81019\n6141 79023\n3814 85773\n22131 55039\n89764 93973\n40325 70043\n33077 46161\n50014 59464\n43415 77533\n39462 71194\n37745 65592\n29698 69645\n11252 63870\n13963 34391\n34414 92420\n32666 74750\n38779 71552\n35539 84750\n81713 94462\n14317 72596\n6079 84386\n29438 56226\n37974 73385\n66331 86621\n69114 70596\n33417 52222\n8423 93884\n3778 90485\n9163 29846\n59310 60337\n78216 90772\n16346 74289\n35641 49517\n82134 84570\n49395 77787\n16968 39034\n16440 21590\n50472 88384\n43203 89528\n18144 33674\n27652 43389\n37867 93643\n14932 70763\n10505 56689\n4308 88772\n2537 90313\n18768 26016\n28547 41776\n16945 26873\n1363 64086\n14000 85358\n36067 90010\n2678 43265\n34150 82499\n71363 85615\n10133 67467\n21964 82159\n16181 75843\n39224 88727\n29432 57171\n464 82302\n20149 72257\n46081 59644\n54888 64530\n36331 45017\n17325 88035\n12507 67494\n27445 57590\n60788 78076\n1846 73361\n85402 87494\n39452 67511\n5613 69030\n19616 34973\n17760 67631\n23593 35114\n65914 99399\n37397 92114\n46353 87088\n17887 99849\n34512 73839\n48660 98818\n1149 22610\n41360 58253\n42579 68728\n29509 35050\n23521 55378\n32175 73089\n17091 33785\n22876 62015\n39347 73681\n52154 92726\n10549 93175\n71162 89385\n21345 24984\n47074 56442\n23598 31104\n36957 68084\n32843 87199\n3192 87304\n5646 61039\n31324 41831\n31366 44862\n18207 90953\n68356 83232\n52036 56046\n11869 84555\n37435 61603\n27918 78137\n96431 99588\n55602 67265\n2603 83022\n53033 80870\n21092 86724\n1583 43259\n52853 94203\n36875 93402\n24250 50927\n37755 45070\n76919 80992\n21646 32041\n19892 23984\n60653 85824\n12190 61560\n27283 40143\n58170 90499\n12115 26118\n63803 79377\n18083 51566\n8382 15675\n11662 55384\n63226 71368\n14422 24021\n8761 42226\n33591 69027\n15938 42742\n1872 87405\n48536 81736\n49976 58007\n6340 34175\n17068 26054\n8270 79133\n3809 69133\n36535 41511\n9286 91501\n49516 54277\n16314 62616\n13913 24575\n65615 88528\n18415 56453\n26818 72415\n32129 59335\n54997 74448\n38363 53535\n48298 50809\n11633 18226\n7233 19897\n33606 70674\n53925 79432\n60626 99909\n2809 37210\n67189 72273\n10976 52297\n1067 78017\n13224 84384\n41560 79865\n77823 84988\n33854 72653\n28963 31178\n3773 34263\n30385 79373\n15349 76336\n46632 49991\n29251 94003\n18979 33366\n35156 43383\n36362 72742\n7959 21000\n59651 89055\n2870 43213\n21054 79002\n27557 89139\n61466 94674\n76721 92421\n1445 51493\n40294 54782\n1567 10553\n20635 70726\n48285 87959\n14053 19388\n29048 86112\n50677 86658\n18016 42487\n53159 89401\n5631 73644\n71284 87508\n22367 60234\n59081 62158\n52550 73679\n21895 36398\n5006 62670\n33267 86539\n60807 98716\n17995 77487\n2830 32326\n14945 55541\n1045 79739\n3087 31466\n74222 90742\n69936 84647\n18318 85498\n30926 34967\n64861 98768\n559 63701\n5186 68922\n37092 92640\n3885 90962\n7976 11475\n4454 94519\n74062 83777\n68269 92813\n26770 84745\n56829 77818\n17180 27144\n21910 95089\n69058 73304\n55011 71513\n13796 74592\n44851 82856\n31096 40974\n67566 84475\n38189 42960\n63373 67443\n24398 72990\n70529 85124\n2434 24832\n3091 41760\n62879 89852\n28822 67425\n95445 96735\n8546 41491\n42295 77134\n27122 86767\n47550 69968\n755 97407\n46352 65913\n83343 88042\n51647 64240\n31038 75091\n7159 10643\n67126 67847\n53056 92854\n3541 4906\n56690 77518\n42117 98007\n7335 39164\n33934 96300\n20238 84878\n55418 72960\n18118 61740\n10532 54787\n35742 84590\n54821 64128\n11888 90883\n41424 96071\n15445 38654\n43205 96101\n63327 91447\n76627 82086\n21652 53796\n35823 62087\n65182 86214\n2929 97390\n56119 88474\n71750 95836\n13713 91289\n20623 99668\n8346 63098\n34023 74725\n60090 93390\n10772 30401\n30740 30994\n12651 81545\n3283 17278\n10699 58284\n5929 58163\n8097 84775\n29104 40513\n52279 54019\n53951 77276\n41357 95374\n1674 79905\n17838 22299\n52735 93937\n53050 99237\n62234 78311\n90794 94783\n9666 89409\n27395 90833\n7885 84739\n11610 78632\n19257 53118\n53506 60936\n25386 75096\n42566 51869\n26133 36578\n14207 42718\n26607 82836\n23743 51741\n74130 94108\n23609 39393\n17884 39516\n895 82848\n45613 58418\n10832 96281\n23308 38994\n5626 69958\n1362 63222\n37451 42164\n614 55282\n86994 98463\n31502 55206\n66651 93431\n43412 75987\n36349 94385\n10569 84891\n2262 67298\n60316 84596\n3424 95200\n1811 3809\n10676 60826\n10328 15631\n14285 77196\n52165 71227\n6840 8279\n48832 50508\n636 53179\n66716 83220\n57617 67768\n33084 36538\n56407 68942\n67066 83975\n6000 15999\n72842 96632\n40263 86492\n79752 98138\n67345 99653\n27944 29426\n29192 93120\n28405 30735\n32716 39889\n64379 83013\n47892 68300\n54704 95720\n47466 69564\n25093 97778\n4368 63423\n47844 83780\n49149 97512\n7233 60224\n31926 44258\n17740 42225\n15061 18616\n5945 52506\n24674 76613\n6457 82675\n4418 72626\n34297 35944\n47144 66199\n88779 90080\n45569 55224\n27557 62543\n9577 65421\n23489 44342\n34101 79840\n39747 65559\n51738 62931\n7697 40585\n21688 89421\n13452 28307\n9009 42808\n43928 77198\n36984 52481\n35665 83883\n5053 27217\n22484 87443\n14343 45896\n79003 80024\n6924 45290\n25910 65627\n66922 90949\n21381 79864\n39646 63183\n48567 60322\n39738 63596\n44890 63547\n20498 36133\n33400 74638\n34893 94540\n65429 76564\n4752 85411\n2754 99373\n8747 68060\n73331 88590\n10249 21356\n13482 63545\n11140 52660\n29767 57831\n65420 98309\n11008 84439\n2222 4680\n28683 62035\n17336 91132\n51354 54744\n34283 83366\n24642 68446\n91914 94922\n14929 58279\n25627 90520\n45574 82974\n59760 65937\n1978 4471\n21839 81949\n29827 65399\n6543 19057\n9887 84791\n47541 73870\n67 20864\n47405 87841\n68674 75810\n52927 64921\n5039 59701\n68715 97857\n22987 70357\n7727 15810\n32416 82091\n38284 49188\n8344 33020\n29981 88062\n4238 49187\n44171 69589\n22437 85442\n22466 37009\n15502 93896\n62031 66442\n45369 49292\n90364 98795\n52327 61617\n41304 97764\n25511 33117\n41085 69827\n12303 43199\n64041 70466\n53818 85607\n7851 83741\n90169 90406\n1718 83250\n5258 7989\n24301 27246\n20491 94765\n7938 14005\n53698 90031\n13996 61876\n36851 71752\n6098 85913\n20526 91753\n2294 14901\n59948 83048\n33761 40848\n30264 53378\n25447 48638\n40145 85709\n13619 23036\n73045 78882\n54639 79668\n32989 99193\n24366 85350\n82465 99288\n2388 29741\n31087 83208\n83938 95968\n51196 73587\n56937 78984\n26354 28794\n31899 50178\n84762 93899\n7880 15436\n40809 50819\n12261 51846\n10033 59556\n61906 66743\n4728 79532\n41369 50356\n14187 29221\n46736 68950\n74044 78672\n14348 40453\n16351 87571\n8849 96646\n1907 63091\n12975 47650\n900 46517\n10110 75939\n10403 51383\n10112 83673\n22781 64223\n21873 67905\n45065 49402\n27334 46590\n45921 95277\n63683 78409\n79566 94689\n20649 76460\n67396 73948\n57864 88016\n66045 86241\n12456 21037\n29056 83297\n16279 92197\n94499 97394\n24491 88883\n13167 30619\n47719 50005\n2908 67242\n65737 69954\n14178 74864\n61873 91191\n45254 55367\n68116 79404\n47433 72305\n71039 92376\n8158 30895\n15123 15448\n10387 65614\n5743 51852\n55956 64751\n36659 61374\n26512 48105\n34805 47309\n1773 2646\n83750 95450\n43179 80245\n38685 55270\n86542 89579\n39624 69859\n31014 33476\n76093 83815\n45263 63853\n30747 71267\n30251 99653\n5756 55663\n59433 97684\n72005 97782\n59933 80894\n70443 96985\n64266 95038\n19650 90489\n12713 67149\n60282 99034\n19774 29123\n19249 72093\n89224 99909\n25137 88094\n44163 58739\n2351 42162\n44384 59489\n43812 70201\n12315 48202\n73909 81940\n867 90806\n12852 42699\n68765 75371\n47280 61304\n8195 21682\n19161 96776\n60540 93899\n54383 85856\n37331 38329\n2605 57498\n58867 79289\n31164 34833\n26812 69805\n22399 57340\n44041 75456\n57308 87341\n17548 55982\n43341 43537\n17844 34928\n13166 67063\n14157 28407\n5845 75077\n1012 5342\n39922 94972\n6263 49866\n16508 64273\n15668 71451\n26141 75927\n12962 26712\n4726 88446\n59256 84283\n48012 76006\n28006 86236\n67955 80357\n55072 98580\n7206 97625\n44426 58482\n22689 34163\n4733 44262\n12442 32904\n12257 27862\n63734 81712\n21095 71331\n73561 82536\n27023 82119\n32374 66769\n33599 86067\n58501 75522\n12566 33274\n4006 66750\n6124 54498\n83583 86997\n82832 88298\n71951 98597\n13010 92315\n58003 78528\n32186 47265\n29794 60510\n91004 97401\n54107 70946\n40434 43562\n10071 97941\n25976 37832\n28018 43777\n4310 49345\n23772 88368\n46453 70045\n29490 85738\n29528 89969\n51734 99207\n39594 73764\n19178 27744\n70368 76373\n20039 43724\n76699 85445\n19578 62316\n75823 81338\n38185 54683\n21212 43272\n83122 87729\n4899 79688\n28408 41683\n7672 19598\n22699 87521\n492 35940\n9153 74378\n58408 72333\n11957 34612\n5924 11577\n12254 66399\n8929 22131\n34765 86166\n61100 75930\n3952 80674\n12876 95830\n72034 84712\n5788 72165\n18009 37607\n15693 55976\n60949 92498\n82553 84750\n8259 76420\n9471 81015\n21744 61174\n5150 40189\n7397 55235\n15636 77698\n23650 30989\n29033 54514\n24488 66857\n13788 65697\n79322 87132\n13387 16240\n50258 62083\n19203 84394\n34704 83917\n12910 36480\n61568 91292\n28915 43587\n46057 90876\n19393 79743\n20544 31905\n7130 95098\n7746 55360\n22656 92897\n31884 61537\n47913 82401\n14578 80735\n9827 79913\n68207 77076\n37614 86715\n70041 90396\n5460 30089\n39905 65859\n55083 90618\n72974 79639\n28692 50962\n21076 53433\n68756 83461\n90668 91424\n76013 78163\n13717 41775\n46906 70738\n22302 66786\n47435 54317\n18957 69785\n48462 90489\n36491 75354\n5253 34682\n14235 32482\n48372 79856\n21801 40634\n18988 91281\n98663 99883\n21062 54599\n30345 78772\n41080 64313\n10796 78990\n25948 73540\n14721 87408\n56759 77384\n954 25881\n36134 84128\n45211 53341\n6006 93700\n50913 57767\n34683 50097\n13143 29826\n80763 92789\n67255 81341\n18372 83298\n30884 99963\n36937 92413\n14570 59090\n28138 47593\n23997 81046\n35007 39782\n32227 84832\n49555 80718\n947 17804\n60958 85593\n80869 98090\n2057 67969\n66907 70958\n76773 77396\n50008 88983\n16531 60169\n697 50105\n28856 82689\n65112 87368\n22943 93036\n71737 89466\n74035 95465\n25846 89238\n39882 69286\n64363 92031\n8281 19854\n42377 56732\n28354 67255\n5063 86325\n30414 56806\n21146 99342\n13405 23233\n25451 96324\n62804 83184\n43503 96786\n28709 41831\n14198 86259\n936 36125\n51326 82623\n43244 74419\n29594 82776\n51353 60633\n48887 63701\n53738 64856\n26710 85241\n16038 68731\n27518 57358\n9953 27293\n22771 70315\n49706 62203\n63176 86935\n28098 92597\n63063 86884\n5945 74625\n66543 99472\n54849 62068\n34822 90820\n45688 48617\n22610 96215\n86051 91651\n9737 35522\n8036 8965\n55563 56247\n52297 80102\n22326 61500\n11054 29300\n8534 41781\n23776 41085\n6582 22882\n39034 56137\n54410 57535\n49612 86536\n48841 63411\n33354 44782\n19056 57445\n52142 76497\n56211 94706\n7129 18710\n11593 80473\n41533 93147\n24628 72478\n40861 64379\n67297 70532\n25024 27455\n19426 93765\n46994 54716\n8706 26351\n70470 88904\n66894 73936\n9341 16111\n49330 54820\n2970 85519\n28090 87530\n37868 55170\n52632 88848\n2428 19104\n26209 69635\n60187 89831\n14150 63519\n32893 89070\n5094 61210\n40334 94362\n59529 81989\n18423 76120\n11377 36747\n22638 66813\n46904 58576\n33168 82693\n17981 84190\n49525 93534\n63795 88664\n71284 89667\n14473 29486\n15807 88892\n4593 10651\n34854 95207\n35964 92631\n62873 68407\n12045 31435\n14834 69611\n1827 50205\n3340 33140\n53816 93944\n591 10429\n39604 42082\n52662 82307\n77471 86885\n41483 84377\n50063 68346\n8604 8833\n57919 83934\n14133 39094\n28220 79928\n4901 57932\n40271 76800\n37442 70251\n56654 62015\n6124 27420\n1914 9858\n18575 56121\n49 73596\n76376 77808\n55556 58062\n10376 73702\n44005 62739\n44273 95361\n80409 89368\n47901 90162\n6291 52863\n5192 9745\n40015 66107\n1781 85683\n64317 79547\n24351 80769\n38202 65308\n39373 51993\n21752 25816\n46965 52798\n62175 92319\n40003 56007\n14226 27172\n30613 99965\n700 77637\n361 73729\n25744 74578\n46920 97545\n5282 33802\n2454 64169\n7949 52244\n26808 71172\n2771 13760\n79417 94462\n71090 77044\n46557 92313\n59755 59814\n26751 35138\n83631 95474\n23403 74372\n36346 57431\n44151 58151\n31443 84697\n69384 99388\n8912 52232\n73809 84387\n29602 82378\n58570 61201\n44238 54219\n25105 78685\n50953 85416\n43110 47986\n16393 93344\n99364 99565\n21226 65677\n12304 56651\n89045 99166\n45237 86907\n12698 39374\n53772 82500\n13993 99782\n4192 90541\n11522 62795\n25140 62144\n4499 60336\n25734 30875\n56410 84570\n76509 87077\n66621 73341\n3536 59035\n27160 99503\n13617 38975\n22809 51649\n16021 59766\n972 88486\n11082 87263\n8326 26675\n38908 41109\n559 33448\n19350 66753\n64100 89946\n11360 55066\n27704 41256\n77928 78659\n9952 31952\n5421 7690\n11025 13731\n29468 87237\n5008 71547\n33603 78731\n3483 81543\n55150 58357\n7073 64544\n27994 31611\n60851 94525\n83476 86957\n23676 93392\n7978 20432\n48596 49390\n44646 76674\n12761 39334\n51084 91403\n50460 86972\n16787 64334\n39396 87867\n22540 91204\n14870 41795\n37692 52173\n22372 47899\n61440 79372\n23244 37820\n62516 99865\n46551 90981\n72824 86555\n60016 90375\n74445 83110\n14535 19377\n64845 79699\n1759 4073\n42806 79377\n67173 71400\n59573 95035\n34544 92778\n33404 47163\n59622 62427\n34615 90422\n46112 65236\n43667 72544\n21803 73633\n15709 87381\n13714 61406\n33064 80407\n1041 46877\n30018 93380\n637 85737\n27683 80664\n28078 94851\n15670 89046\n79198 93034\n73509 73648\n21320 92876\n59388 65602\n43152 75827\n21253 65478\n5050 50226\n21804 42349\n19826 91272\n8100 26699\n7696 43557\n16670 53906\n13147 87118\n66375 70822\n32543 72435\n74161 98586\n21139 50418\n4185 38090\n19401 51721\n32682 67766\n65745 73941\n23651 85422\n25273 99271\n22089 62364\n18040 93939\n2103 54661\n63684 71520\n53577 80114\n46525 78611\n62390 72730\n22011 32858\n39992 48430\n20823 69233\n35534 44330\n70284 91642\n47665 74761\n61598 79958\n18087 82710\n8451 95208\n17627 29745\n33038 54966\n35288 74809\n33295 89453\n709 8837\n4209 69290\n24951 43890\n9919 52335\n28589 70856\n21915 93439\n46466 65995\n8760 96776\n24491 58612\n30950 32175\n31701 37286\n68566 71578\n66257 75860\n8124 30943\n65846 70975\n6362 81111\n21886 36359\n11868 93025\n13139 62178\n75081 78504\n31147 74643\n25732 69515\n17822 51094\n23125 27240\n8861 14590\n9002 82915\n72054 92238\n7966 89111\n28534 37700\n12926 78244\n37940 90960\n61753 92290\n42167 90301\n17150 63642\n45203 82673\n28481 48033\n25629 64744\n48685 70564\n21902 34120\n5893 22226\n19302 55914\n74512 84848\n22589 25991\n47741 53955\n74959 91496\n13476 56720\n68863 94386\n9550 59001\n24707 85551\n42450 58647\n16918 83799\n11041 20107\n50777 80658\n24006 39064\n3840 25260\n67208 74036\n4745 45789\n54358 93533\n45980 59161\n24123 48566\n5740 84640\n2540 82187\n1318 96851\n18318 79314\n3461 21386\n36981 67643\n51411 81372\n34121 70717\n65236 91894\n51550 95116\n41064 47758\n65964 86924\n12630 54551\n46968 63171\n1751 42459\n3822 16557\n61265 94663\n17273 46869\n19117 53289\n29026 56465\n73990 75555\n45809 68804\n45565 52627\n38449 53002\n74078 75811\n58321 96256\n44405 59091\n84714 93397\n9675 38825\n66580 99181\n79209 98979\n12927 61692\n31422 67612\n35995 79690\n27221 94583\n49641 60046\n73810 87673\n53449 87152\n28155 65089\n9035 56217\n72574 96402\n52054 65728\n28460 42020\n78698 85568\n4492 85681\n5958 22407\n30237 51608\n25020 46855\n24506 98632\n39908 44205\n7447 49990\n41504 99219\n89880 97648\n57952 69208\n14372 71742\n44871 60893\n8689 99102\n11935 87853\n64476 92432\n1838 95314\n65802 74550\n9960 33913\n41585 86788\n25495 79071\n11815 68403\n95564 98729\n33815 97842\n75363 98727\n34890 99930\n4200 77448\n34535 47010\n6547 21331\n17878 80621\n36708 69967\n18984 28716\n69539 84874\n9658 61051\n75973 89751\n14703 45559\n18157 82733\n11670 69206\n47301 78015\n22176 76514\n63925 87774\n11722 36926\n7763 94234\n53797 70524\n63550 88720\n29726 57777\n50718 66431\n29552 66260\n22774 73855\n30446 30923\n27419 49488\n28560 56810\n56138 67085\n12008 15819\n3761 60341\n11858 27506\n67180 68881\n71505 93205\n8016 54732\n83893 93298\n97238 98063\n40139 41777\n25274 55930\n15257 57591\n16954 19556\n44758 89613\n56608 96091\n38288 47858\n12663 86886\n77588 92826\n82188 97342\n69889 87525\n22492 52715\n87509 99396\n51617 65279\n48740 67891\n36720 37985\n27958 90057\n3056 91856\n36729 90084\n3172 30854\n47699 59359\n32492 84124\n50268 96348\n53536 67306\n10741 57098\n11516 15728\n3863 22465\n2984 83654\n55295 95638\n53117 72344\n80194 85401\n11156 44614\n48359 80248\n64435 83366\n31487 46000\n5608 69722\n39834 76323\n48651 87263\n7937 89066\n55067 62090\n53939 61337\n31850 46128\n58726 91787\n55088 81625\n22304 35717\n17325 42140\n63126 97722\n8272 13968\n18348 55396\n20814 64049\n12628 97947\n15122 27161\n44298 99252\n10804 57262\n26266 92781\n40113 65847\n33111 97376\n1098 19520\n25814 67838\n41011 41172\n40936 77781\n90869 92937\n36780 99541\n20540 74063\n18175 40546\n9804 89651\n27377 50567\n24983 86313\n93878 95543\n15147 18880\n35445 47527\n31117 64186\n41008 65270\n8596 70700\n57661 91154\n61804 90139\n63194 67027\n8697 26629\n12277 43566\n8729 45336\n43182 80203\n86434 98231\n688 82427\n30037 62463\n27963 49152\n22304 39805\n20108 24610\n5312 18871\n47280 70728\n8821 83572\n48252 93832\n33139 97766\n19189 54780\n4786 22690\n49212 70218\n30503 56610\n22938 59746\n60626 68727\n76051 95414\n11882 52788\n8250 84642\n87820 91066\n22156 91017\n5907 45702\n10882 77758\n6737 83703\n84467 96746\n45740 71168\n59873 92962\n1805 69726\n38123 47601\n752 37789\n8866 95076\n47192 54843\n52114 87434\n79467 81772\n37689 81519\n53685 64457\n41322 47384\n32560 77202\n90164 95347\n8417 95642\n70412 84192\n61692 63534\n36201 68398\n9894 97194\n29222 86457\n22253 80928\n6808 88356\n12084 66017\n52019 57596\n80317 83536\n49539 76567\n39189 79367\n54329 91789\n9290 65163\n69696 89142\n61378 96146\n42286 68614\n27912 50413\n9570 19723\n30785 79742\n26546 98424\n11575 52781\n3467 28609\n88610 88753\n17053 43568\n34243 65144\n25524 88362\n34221 87511\n30566 45666\n35784 55829\n76110 91034\n98 65139\n20316 22622\n60565 67234\n27645 39514\n3793 21231\n45270 85615\n12161 25892\n5396 75437\n30048 93202\n35854 89543\n34086 57573\n77186 96174\n34408 51863\n42011 57704\n7969 89640\n23620 76382\n26468 96314\n31611 40081\n12678 46180\n3709 42423\n32851 42802\n7839 48812\n82297 88036\n41722 42981\n13672 23935\n72828 97609\n23608 98448\n24806 56996\n4278 64750\n51127 82954\n52185 85849\n27617 79555\n2539 94473\n43719 98665\n18092 58835\n33956 98081\n11211 86270\n6925 8003\n137 76388\n1424 81269\n18017 62543\n55084 76385\n3035 10706\n46871 87324\n13922 47578\n20953 25847\n16336 74987\n28902 53714\n17436 81971\n34863 68804\n588 64162\n74691 83123\n28197 35010\n8381 68779\n3019 77051\n41705 50524\n53265 64303\n12584 53598\n27768 91892\n9561 53313\n24242 80272\n69722 84950\n44464 47492\n67912 87325\n53234 55998\n38869 52471\n36652 61648\n28912 48266\n19214 61719\n35440 46814\n78021 82232\n40475 59422\n21175 79695\n45282 62160\n58419 64468\n33725 50781\n19166 95719\n6919 67335\n1055 32787\n68685 74949\n786 42832\n29935 83208\n23313 26895\n16805 58638\n36914 58703\n68949 86495\n47222 59108\n31377 94804\n53337 89277\n41741 91499\n3071 60608\n31861 65957\n15091 16253\n10699 82731\n45178 80946\n8473 64381\n77741 80299\n15942 63044\n986 72264\n43502 76090\n77319 77387\n31799 84293\n19966 82104\n23788 82978\n24956 43517\n35402 81656\n64015 84531\n15844 40070\n5121 35041\n5433 8567\n71989 83323\n35815 48722\n36521 74968\n52747 75234\n72762 94851\n49006 69976\n56695 77530\n12815 99792\n63868 65899\n43092 91933\n48713 72176\n11844 37323\n5027 21256\n8414 29142\n31179 71465\n51182 66661\n91298 94111\n32035 58844\n4190 64736\n77876 81570\n33185 58520\n678 91070\n43535 60668\n31489 80120\n33940 56008\n39116 58994\n75346 88307\n68551 99690\n3686 85494\n39872 65744\n6076 36886\n13058 85250\n61474 84297\n497 80941\n52910 80362\n14065 77374\n41711 43266\n99582 99638\n34835 81413\n44398 82748\n52160 96575\n9933 51340\n15974 27664\n64551 69147\n54170 59043\n54224 90772\n24858 80656\n50668 82513\n6181 63972\n6585 77896\n72269 77087\n46233 76848\n61003 71359\n35607 48181\n49662 97145\n25462 82643\n3525 74151\n12780 66942\n5896 46051\n62592 63627\n7820 50053\n29780 75076\n79510 86168\n33520 35067\n20094 49863\n53548 70595\n23520 32344\n55170 77921\n88764 94001\n45595 52347\n74725 79356\n37040 98883\n56300 90824\n43040 69418\n77365 88419\n83961 97643\n5966 24085\n56207 61129\n36555 92873\n28006 88141\n798 59848\n39317 59386\n35409 46197\n16949 18185\n46668 53389\n57802 61736\n13615 69049\n78141 97442\n21237 34285\n24079 71405\n52869 76499\n968 53879\n35540 40356\n17277 52598\n11593 63230\n7008 59391\n29743 38712\n17897 95000\n39667 48171\n71011 99262\n32739 86850\n37899 41290\n969 5119\n2908 43373\n48347 88457\n58970 97881\n13861 62705\n24339 66392\n80878 82328\n6321 86478\n30704 85106\n11695 81569\n28362 30541\n32498 44754\n19592 70523\n36151 51274\n32782 84793\n37698 48170\n44458 63916\n34207 99963\n5456 58646\n18301 31277\n11020 92340\n31651 65642\n54875 94911\n37483 67494\n3982 77516\n86085 86683\n21382 64726\n17440 83431\n48046 49091\n16877 31589\n36211 62475\n23122 42152\n53076 91972\n6786 27941\n29944 53232\n2730 4122\n140 98547\n935 98656\n46355 84331\n9142 69537\n7670 35264\n51512 99126\n60618 66751\n20408 77429\n87421 97291\n17972 58406\n24155 90517\n75884 88155\n17688 92705\n6618 17610\n70058 80955\n53273 92862\n10464 33115\n22149 71851\n254 41604\n46327 63829\n6921 28360\n25036 49429\n47120 55462\n37045 60534\n9637 21281\n26927 86156\n23885 76381\n88425 89907\n9228 46806\n59536 68155\n72489 98187\n9287 46780\n65608 98547\n33598 49284\n32832 43213\n40348 87732\n36054 49655\n58000 71980\n24320 34915\n7219 26894\n42527 48631\n18663 57647\n9977 39911\n6817 86698\n34404 94828\n2239 15714\n38083 85581\n15437 67903\n39822 98015\n28659 88083\n35 41529\n57844 84046\n69783 82659\n39128 42270\n33929 60170\n7750 58673\n11834 25138\n29808 97721\n23791 59306\n49068 63648\n78885 85633\n32442 50793\n29822 85373\n5786 27520\n18622 78098\n73138 78957\n47582 76961\n7402 43534\n10760 43122\n75026 93766\n2499 65306\n76982 79137\n70591 73356\n1876 81183\n7510 73736\n10177 85131\n6954 16537\n5232 64661\n10381 12624\n59413 88605\n10896 92819\n28850 74268\n42601 86488\n6102 78238\n4737 55015\n22565 78302\n67361 79342\n19417 26666\n55452 69720\n23637 99730\n36978 82361\n13864 23498\n5625 61647\n80421 84279\n20384 61548\n30581 69338\n17769 57545\n26238 30130\n61649 85354\n41220 69226\n26516 42887\n56217 91338\n25502 60560\n76107 99690\n47024 52520\n6182 71036\n33225 85011\n4766 6712\n49627 63263\n17377 74459\n40206 61329\n87580 96096\n54011 77799\n38261 93460\n78312 92483\n27079 28045\n74265 99536\n25579 34308\n60744 85393\n47489 78465\n7027 91974\n5816 69871\n21969 26219\n29475 90679\n21566 81950\n9747 70726\n22798 91180\n48079 82442\n12108 72224\n14752 26599\n47523 91604\n46576 57665\n6574 81563\n8388 10412\n27676 70395\n20613 62730\n49104 80534\n34314 57260\n23963 43728\n73924 82984\n9638 11630\n9072 31284\n87450 96660\n22509 94838\n95614 95677\n25624 61278\n63193 69861\n39296 88463\n16198 28341\n20130 52366\n7690 37109\n6363 94439\n16655 50239\n9173 15107\n53458 93631\n64531 83270\n22193 66599\n32359 85444\n43629 51659\n971 8640\n44610 52537\n2652 72206\n4823 16879\n22769 34664\n23966 76340\n28783 81044\n52275 56805\n4348 91549\n693 29157\n45820 72491\n23750 81491\n49505 68711\n16180 86894\n7128 29131\n50059 68479\n13227 20423\n69166 81437\n79894 94806\n34678 39093\n21768 29281\n4709 40433\n12359 21172\n5433 49689\n49996 55991\n18808 77949\n50992 92703\n61824 80478\n6630 56350\n2921 67299\n23527 42271\n76063 94407\n34050 43891\n26093 45876\n55459 56074\n14691 69876\n1865 61480\n67331 78038\n57014 62070\n33210 61386\n5448 70579\n47471 73023\n38967 85438\n20691 69220\n13115 83316\n17159 25627\n44872 70558\n9234 47516\n56519 90948\n3831 18002\n39562 77778\n1407 96392\n4300 35130\n86138 89634\n69501 73765\n82889 98835\n36176 49731\n73166 79150\n22153 82951\n62330 84017\n28609 66372\n72540 99957\n62800 92982\n12345 66889\n24790 33479\n90655 91322\n21832 43651\n10099 44641\n23427 32813\n64509 66732\n17777 53619\n9986 80390\n11093 11133\n14455 68838\n40461 64449\n2995 38005\n15583 62922\n8196 33570\n15725 48142\n49156 57194\n14339 76239\n6104 62215\n41688 98828\n24254 63127\n12149 50076\n56826 73597\n40402 44454\n33522 64509\n32530 81899\n50810 89171\n19618 86500\n55951 86143\n20832 75738\n43394 68692\n79059 98229\n63266 72304\n36641 65629\n46531 46772\n385 20174\n4353 94028\n30204 37243\n9125 79861\n25166 61713\n62908 70938\n76761 94819\n59821 67426\n26555 31001\n55455 56995\n36834 57200\n7629 13866\n13696 14661\n3727 74504\n47374 59519\n47362 56734\n80334 88283\n76565 79443\n8296 13120\n24209 56744\n22778 80511\n23524 34442\n10773 25752\n65112 86375\n21062 75584\n2891 58827\n199 18101\n14284 77356\n29282 29518\n48511 75420\n87616 89594\n53616 93773\n39421 88242\n389 16366\n88 45824\n42775 76351\n82748 85973\n2350 17129\n5616 85261\n54735 94747\n25131 56736\n35782 51813\n3160 61687\n66257 98529\n27354 60152\n1598 1951\n2745 18467\n32640 91449\n17495 86618\n10171 69432\n12940 51023\n45032 69802\n1704 61386\n76930 88718\n33258 56184\n2632 46641\n28041 30945\n12481 51799\n74465 75486\n39447 92969\n50411 72486\n50963 74810\n38445 61580\n62471 91035\n73235 85621\n28914 41876\n55890 65987\n43484 62113\n997 27086\n23690 88472\n76644 97588\n21648 56380\n41305 65260\n18103 40358\n897 72020\n7936 54796\n5305 17715\n6277 50209\n20897 43875\n40413 80513\n22024 91688\n68506 74877\n13753 58345\n6601 89165\n91703 91987\n83849 97598\n48453 85393\n17114 31973\n35747 80551\n28322 93966\n7263 49969\n21760 57595\n27729 34813\n31684 35603\n54696 61993\n771 49449\n58606 70236\n48003 78912\n17018 31572\n2170 68072\n1387 67771\n3447 20995\n60070 78989\n36695 83622\n51663 69108\n17487 22729\n5100 35845\n6555 31219\n47316 91838\n49604 54419\n60125 69548\n1291 11589\n74910 82854\n44749 53860\n89782 99691\n38542 99874\n2675 34409\n35481 37514\n73152 75911\n4354 74263\n47671 76309\n65649 72154\n10123 49847\n53760 66147\n17467 22453\n21639 41022\n22276 78948\n79191 90960\n22950 53372\n66717 91801\n33018 91054\n11065 15208\n23892 74950\n1670 26886\n21429 88605\n60912 62200\n22769 91706\n6612 82759\n6027 55991\n68091 84132\n4116 40710\n53583 90902\n1415 75387\n50947 73741\n32150 81525\n16007 21237\n47426 90631\n17621 18081\n20680 92476\n23813 86251\n12319 59648\n44021 75001\n14473 94255\n50349 56382\n22799 81050\n19801 60215\n71908 80172\n13497 83249\n67731 77411\n63216 82333\n4574 69348\n26514 56836\n32005 85955\n12928 34867\n26526 87081\n68906 81182\n73328 84545\n95910 96860\n33646 90646\n6494 83036\n3965 99134\n63794 83867\n85448 93389\n39791 71750\n39340 89048\n9634 64894\n22908 82605\n6723 73416\n9055 61830\n14461 76254\n19120 24774\n30467 75941\n34023 78270\n8996 32474\n36743 66431\n28207 80037\n10343 30974\n48394 96144\n37493 75839\n69548 88175\n48090 88429\n12637 37231\n19141 29335\n1187 64498\n47035 86148\n90838 95931\n35743 42209\n7550 92288\n58293 87226\n68287 85725\n31471 71008\n5536 55106\n6111 21099\n80531 91659\n36782 77406\n64453 96938\n20708 99640\n474 66785\n22205 47643\n10273 26132\n13458 49961\n69541 99842\n76117 82714\n32544 36242\n20621 65597\n43942 83017\n63399 65819\n17264 81624\n74577 89908\n28825 42268\n2830 96393\n21913 91235\n16246 30593\n11166 45833\n7705 19159\n25124 55631\n69786 81612\n33442 67665\n28828 66868\n73865 82354\n6293 15305\n8904 63340\n16316 47226\n78961 80479\n42517 95930\n62816 66069\n14406 18381\n12251 50166\n50960 98684\n1522 42887\n46186 91096\n8667 92374\n78655 97972\n60387 94077\n7816 42745\n3941 23547\n45874 70750\n37533 70616\n24187 54928\n26650 91947\n87855 95033\n3225 57879\n48440 91809\n70775 88722\n29586 88104\n3632 14497\n16517 72546\n34530 88373\n29749 30859\n30238 34549\n10164 98576\n26295 41862\n40802 50022\n40134 64174\n47704 58703\n13755 73198\n75454 76022\n18994 42121\n9746 10961\n22361 33786\n42889 76826\n30972 71211\n46267 99879\n56855 75708\n76886 87389\n52989 93866\n46712 50502\n11560 60821\n6599 53366\n34078 50721\n44906 48614\n29250 50322\n23308 37929\n3593 57334\n19377 37762\n2585 24280\n10976 32441\n25216 44327\n40638 82591\n55278 82797\n15929 55626\n58067 83031\n63419 86423\n49582 53995\n32774 71429\n3882 11002\n2576 56047\n83437 94489\n35144 37202\n11824 67697\n50209 93231\n68787 91309\n87511 89919\n24519 26373\n35053 69022\n14446 46761\n42980 62276\n7588 79468\n44908 88102\n49830 60767\n56909 83260\n24845 52253\n7439 9458\n66008 68146\n17750 82487\n2864 61202\n17078 48908\n43092 59993\n90310 90354\n4029 24348\n8542 98743\n1051 70244\n768 8781\n29950 85235\n27251 33979\n20538 73446\n13852 86041\n49306 64784\n11517 21857\n36344 71124\n50771 89377\n8567 63268\n48495 82105\n41444 50147\n7071 26132\n40020 70786\n29430 99040\n25367 82026\n4067 29476\n57988 78626\n10686 80900\n33182 48858\n69934 80353\n37 27321\n86018 95235\n11179 16113\n15705 51948\n22296 59647\n61525 72920\n9481 66572\n7528 85955\n85961 93364\n25504 79170\n44743 71234\n1987 74502\n31853 33059\n57052 58108\n20039 27131\n1782 65336\n60446 66699\n7161 66224\n32368 72597\n53604 87794\n77138 89040\n31834 71962\n36825 74813\n36820 61551\n60693 98460\n95359 97433\n26898 71622\n36585 51663\n57412 85506\n43485 97465\n32366 98026\n9872 85407\n91385 92514\n25546 39520\n29844 77916\n15953 69196\n84197 88553\n58588 85845\n49376 77087\n19998 94286\n10435 97628\n5827 52924\n43152 94968\n64240 84384\n62185 67940\n29828 64621\n56516 71734\n495 85438\n26051 87771\n486 28428\n34001 62354\n4529 92755\n47166 74911\n27404 94465\n24481 75847\n55400 88347\n54137 56667\n20565 96674\n1385 32483\n26986 81934\n23455 79136\n6159 82675\n3231 6226\n24272 71458\n8690 95656\n80041 96873\n30522 93761\n37396 48643\n12700 17941\n5870 88122\n5629 25877\n5722 49787\n14370 97645\n56876 86258\n28789 80203\n4685 96924\n84115 87320\n41550 78734\n38065 96409\n4675 90847\n6358 22014\n34831 86049\n73374 85154\n8049 17731\n59565 67092\n48011 70623\n41314 78444\n46104 54689\n29714 41324\n13061 55685\n8398 35151\n19308 41183\n8860 59996\n26144 27386\n9447 43365\n46367 97910\n14682 53864\n49464 52852\n21812 62267\n17749 97283\n352 25645\n43653 72515\n94317 94786\n7728 37661\n3666 12370\n82598 99957\n44575 76728\n2343 10221\n55216 70109\n12332 52523\n45757 95716\n33263 67784\n18219 65920\n12874 40918\n25871 91160\n1216 42702\n11832 51380\n43304 82059\n65430 99319\n46420 77513\n54823 58630\n48648 84376\n43551 56682\n35197 91018\n81090 90218\n29598 59580\n73811 94723\n19179 66064\n5579 35177\n69070 96524\n13817 48758\n58518 91795\n5183 70688\n29182 65167\n71434 73987\n14873 34817\n58044 97249\n47848 62688\n15478 46606\n52113 98667\n31901 45164\n27840 42836\n23851 84708\n55761 65338\n49704 99153\n91333 96487\n21885 94639\n54354 56768\n8771 87203\n54198 69150\n1178 61768\n23112 55444\n3525 88020\n26134 38821\n30088 93291\n27149 94833\n42493 97721\n19848 32566\n12975 86944\n48217 54679\n27381 86300\n63849 81793\n82056 96494\n54559 68771\n8972 87266\n80551 88327\n61134 67703\n71177 88146\n4162 43332\n66392 76595\n65619 85390\n19907 48469\n29490 83559\n30794 89851\n71211 80198\n4928 97866\n2896 82266\n33999 48707\n70875 91621\n11425 49871\n14699 94162\n24009 49082\n48665 75121\n29136 86249\n39805 89526\n38272 71896\n88477 96935\n41765 55232\n5 42798\n62734 89896\n2116 17341\n56715 87548\n51100 90796\n3942 7386\n2727 38371\n84021 91329\n19985 22259\n17126 17359\n68637 80368\n40608 57694\n6693 26140\n58911 61800\n24235 56869\n72688 84509\n58774 66726\n27450 71021\n50198 56334\n61097 70424\n44736 72468\n29924 44383\n12348 19470\n7005 76396\n53058 76969\n1718 43472\n13053 18452\n66569 69107\n5966 98608\n34298 48188\n22815 93518\n17824 26488\n47059 75222\n62273 71962\n11271 68065\n43137 71699\n16352 18802\n77764 80479\n4021 58901\n22241 67936\n19420 99428\n61760 62514\n83571 86101\n51944 83671\n25941 81084\n29701 33230\n35003 79861\n16396 80531\n367 65168\n11745 26477\n2150 47239\n24186 63329\n20590 85627\n22368 25988\n230 93396\n34888 55551\n39304 43294\n12783 29339\n23626 91694\n47934 60352\n6010 16948\n58740 69440\n29057 66661\n24528 46267\n72361 93777\n45647 95828\n74283 91783\n6129 28755\n58617 92549\n40942 99229\n7777 71588\n80847 93633\n34065 34231\n61401 75832\n4576 72238\n14861 77036\n37332 44858\n22429 22859\n77380 99242\n34503 92339\n51645 63264\n30120 57776\n34209 94709\n73044 92023\n7018 90036\n10518 28867\n28196 90969\n68194 77131\n10045 93282\n62195 96074\n23441 60065\n7189 90485\n1096 67436\n57753 92356\n17697 56575\n55261 90151\n14412 80120\n16777 70381\n27718 31948\n36520 76912\n21277 71849\n7446 54431\n16269 17113\n27939 76299\n79305 98109\n37918 81161\n97114 98115\n73813 93635\n23023 92738\n54741 75676\n53002 78882\n19029 80092\n33225 35241\n48712 77246\n47882 93369\n33523 42360\n40302 41282\n56504 57923\n4997 29986\n20771 29981\n72374 86800\n28738 29229\n1617 94081\n22649 82781\n9056 44178\n18154 25640\n47922 57898\n51590 64275\n62000 89490\n32251 74335\n36126 85901\n17702 54002\n6949 43747\n34553 42131\n66845 92672\n53431 61827\n47589 96753\n62765 82412\n33100 81503\n13955 73398\n25239 33581\n3326 9182\n77562 91166\n33485 38883\n4289 9106\n21337 80737\n29097 58744\n23616 36123\n35501 94512\n16984 60126\n35399 56051\n33586 59815\n68088 80480\n32757 35692\n46627 77470\n2524 50556\n62620 89131\n38899 80289\n16763 55774\n26961 39090\n21389 27713\n25436 38405\n12447 99795\n39815 45285\n28367 48582\n43163 65197\n38974 44897\n17355 79775\n51132 91335\n30141 58768\n7796 63514\n33541 81085\n5211 8083\n30823 69287\n5928 65753\n15604 84015\n27319 40761\n8008 33222\n26301 73296\n44253 75643\n18110 18971\n32000 92816\n13598 51338\n11831 72972\n62911 74111\n4412 81352\n34008 73134\n21840 71395\n19943 28510\n11061 67319\n34641 68981\n5558 33206\n3095 55344\n26047 80660\n35452 66657\n19068 62366\n57629 85924\n25820 63123\n55026 71648\n20326 55675\n66042 87792\n7359 69599\n66828 69188\n17723 77682\n26932 82967\n19527 82308\n4011 94498\n38044 69607\n28201 45273\n80046 94375\n19072 33610\n28129 65736\n10553 53815\n23556 96379\n15589 84833\n66871 75634\n69980 99853\n8423 76401\n29791 68322\n6703 35463\n17040 79297\n21532 41309\n69058 78449\n18261 49120\n19280 66590\n24731 99361\n16055 82260\n5939 80048\n18157 47969\n15731 80363\n83052 92281\n24492 42401\n38220 82517\n5698 84669\n24646 34206\n26818 70106\n6848 86306\n4744 86951\n11892 63664\n21355 64483\n46359 97990\n78521 86717\n14476 77387\n13144 69296\n40195 69950\n4872 6117\n27251 45728\n16057 57143\n63814 82056\n380 37721\n71447 78953\n20776 26498\n1863 64155\n30200 78749\n12976 61071\n16649 65030\n17977 51576\n9338 23424\n18881 48153\n40314 47883\n11563 38622\n29591 29613\n75735 89894\n55182 67705\n55703 65165\n44288 61780\n1660 98200\n21864 95056\n25482 48609\n34354 47725\n42475 84351\n30693 66312\n13274 76392\n86839 94077\n12969 69167\n25215 29130\n64971 77462\n21038 76357\n1014 44248\n26549 29914\n10723 65261\n45771 52070\n1081 55495\n15309 51922\n37542 86268\n20574 62541\n49731 85086\n42977 55913\n53382 61319\n9037 97551\n3122 73820\n77705 96458\n27825 69952\n19042 30718\n25285 76087\n31368 51976\n39768 94535\n7056 65643\n30745 47062\n57126 78128\n19185 53007\n34487 98454\n52501 53662\n706 91313\n43930 51055\n27672 47430\n10887 39148\n76368 99806\n40335 86221\n64098 65566\n5475 60119\n25668 80813\n8429 68086\n57468 85160\n20334 59542\n52044 95501\n51468 58641\n24332 90260\n28825 98922\n36207 78524\n80959 95473\n12963 89955\n15489 52608\n33917 55120\n73465 74209\n16205 51450\n13006 96419\n6194 73988\n2152 79049\n74397 85179\n65756 83195\n38398 40966\n19961 90755\n16737 53563\n14016 78659\n1494 86972\n34115 53774\n6948 57739\n4205 24282\n25574 34637\n4791 47552\n17543 77700\n6356 70747\n27396 57948\n33432 70418\n21433 64604\n43421 76096\n16351 37131\n30031 82511\n68379 72418\n68400 86982\n58301 82342\n41451 78583\n34482 77116\n37997 56204\n48412 86223\n47457 87009\n45819 58104\n50577 98613\n1569 2198\n34239 81390\n47951 55841\n21042 98465\n50026 94167\n23493 91886\n23415 23728\n8362 38772\n21666 73710\n17973 52121\n48460 79336\n82802 87996\n431 46851\n21758 32487\n33876 75400\n34395 68776\n6737 28926\n15625 87130\n36693 47833\n31175 64221\n6693 58576\n11785 34877\n59204 67848\n23019 70667\n48607 65953\n28894 49694\n5127 14417\n57350 62793\n42401 75381\n64662 93100\n3352 98112\n33054 48557\n69769 85171\n32191 86877\n33997 46313\n65105 91096\n17778 54753\n20273 47515\n34103 51240\n19580 74812\n22483 85496\n10975 46142\n31320 47713\n63547 72795\n49247 91055\n3162 40228\n24522 95787\n8582 45615\n28763 54693\n38148 97793\n2401 45884\n32427 45661\n61398 93178\n30441 43008\n2366 39880\n25753 48245\n69104 76603\n62607 91195\n747 62289\n28935 93193\n10471 34813\n53654 90324\n3821 45879\n77152 92252\n32743 91764\n31869 52333\n37325 94819\n82031 98264\n47770 49987\n51905 99830\n35330 59141\n8731 77199\n11334 66771\n32954 82034\n37217 78978\n31927 84204\n13099 14748\n20997 57670\n27907 59719\n12981 19717\n104 44325\n61946 95814\n2404 37113\n32407 62741\n194 84154\n68908 98707\n51619 98444\n15708 40671\n20708 74177\n83370 92789\n29672 99757\n51691 84355\n28479 80274\n79893 86983\n6029 53292\n64904 68753\n40531 83914\n3210 42286\n19360 85484\n24473 86921\n10009 65684\n53845 65764\n15698 69039\n46948 86053\n36766 44905\n21920 45182\n43741 98132\n5830 18761\n17084 32032\n25986 65759\n15448 49916\n36164 94679\n3229 62566\n28164 44022\n38128 77572\n46988 55258\n54240 79705\n42529 72870\n21480 34839\n17189 78366\n93575 96364\n53158 77420\n68855 85869\n74 70298\n11807 88245\n22857 82824\n55688 88665\n9064 13631\n37437 80275\n49468 95230\n9761 79804\n13143 75132\n71972 97173\n13882 97205\n61779 82482\n7681 96075\n74393 91828\n3532 74845\n57193 80276\n4095 36988\n76332 99549\n1840 78817\n21187 98059\n30134 41337\n9032 91790\n6725 44129\n53715 56417\n24350 31353\n74947 87146\n12333 65711\n73820 83245\n21315 50579\n309 86384\n50947 55599\n31386 90974\n19718 51253\n71171 86226\n61443 92134\n20930 80179\n49701 59301\n18390 68850\n12778 53180\n26394 29921\n11365 99977\n4048 12028\n23477 71694\n12061 40907\n74046 94948\n6233 33948\n34500 55059\n75129 75326\n38265 68825\n23394 26805\n85348 95152\n12263 58521\n9718 78746\n12535 50233\n12842 34600\n42672 83401\n88646 88864\n46652 84509\n7310 28722\n75068 89533\n26941 52320\n17951 96281\n67296 76077\n4707 86799\n32055 88914\n35856 86391\n42021 90422\n21970 60869\n33498 69105\n45224 70815\n50644 79602\n29519 93417\n50762 90228\n32791 95172\n90720 91897\n51634 99211\n29838 84752\n9378 48077\n28834 92803\n26210 64560\n69541 92482\n12 1321\n73545 97352\n11550 29772\n20754 71661\n35681 79201\n16058 29131\n47916 76374\n14828 45445\n4318 79717\n76411 84817\n1068 22818\n15429 52606\n5885 16543\n20790 79930\n29781 36629\n15664 46196\n5205 73394\n40955 41442\n70856 80241\n16755 91807\n33613 80918\n15033 85755\n8821 90493\n42176 77851\n29853 80853\n8198 24416\n2164 74315\n47777 52606\n66701 91393\n27388 39238\n60980 81971\n60802 92615\n2855 69262\n62789 79753\n5672 40414\n21070 60929\n10945 66112\n53047 71798\n27001 75032\n36626 65135\n61455 73431\n40455 56541\n11797 45947\n81836 93284\n1372 88702\n21090 36987\n9241 40768\n9623 55680\n51854 91602\n79675 97501\n53669 78841\n24971 28329\n50195 56480\n39885 43346\n67600 72362\n37968 56740\n22990 96619\n6999 22879\n33130 63581\n29103 54158\n21357 76890\n79896 92819\n4170 47214\n745 22964\n24334 27816\n25807 92644\n41514 97020\n61034 84280\n8134 76380\n24665 93564\n20875 61166\n42270 86558\n50236 99979\n52156 94368\n11867 83446\n12873 97351\n42193 52781\n5308 66345\n9486 69203\n18293 65346\n47802 71628\n47016 68175\n20949 86375\n52198 84116\n22979 94106\n22926 66134\n4665 31286\n11538 87832\n13937 29526\n65552 91761\n44540 74591\n7332 80401\n20427 50033\n6265 63787\n11786 51602\n61304 94856\n98 20845\n64107 81449\n56814 78112\n3455 5875\n12858 92759\n7689 91721\n57691 65842\n60385 63864\n64960 96036\n27266 38156\n27802 93651\n28036 64090\n18020 51560\n29508 74834\n5 99912\n45511 55253\n90066 92398\n38090 40925\n72478 86026\n24571 47950\n56807 95296\n11365 65926\n36605 55714\n38048 88520\n26601 35262\n82821 91313\n16987 88876\n3236 26442\n24001 28035\n4526 27465\n13981 73871\n61160 89014\n10504 60564\n36754 99717\n33412 60127\n49224 93482\n16303 76549\n697 99226\n54177 86191\n32919 80396\n57768 58659\n14464 79479\n25362 74843\n1330 71386\n16323 47754\n17612 40449\n7960 85949\n9786 65416\n62332 75426\n43350 43635\n86864 94485\n54259 87859\n22597 38143\n4034 85033\n18417 58752\n65970 96553\n84072 90818\n72055 84263\n3303 98411\n26176 38694\n28775 94384\n39104 88837\n22210 92587\n55 42841\n5553 34208\n60250 93643\n6007 12249\n40417 79039\n14513 33028\n86818 89660\n40454 47970\n23817 60462\n9892 79339\n5264 96018\n12465 56306\n63779 71750\n11744 95059\n9193 48844\n71427 96576\n33553 42275\n9034 85461\n37721 46085\n858 34375\n5448 91177\n9476 43381\n55467 96873\n32613 97297\n11573 33828\n21636 55360\n5827 69617\n76080 84050\n40806 59163\n1101 19860\n69094 90006\n4770 32515\n52176 60343\n28697 72552\n6215 64932\n7643 31012\n43731 48535\n45303 93711\n16557 72201\n69969 96573\n49176 67764\n1691 57885\n25486 66268\n15680 74118\n59044 96135\n21703 78502\n8503 9833\n71400 90494\n15645 44656\n31404 87435\n41934 67260\n35505 42415\n56107 86560\n14667 85006\n2905 45530\n36169 41906\n6576 73747\n37699 41517\n45953 91043\n69467 89214\n1004 38244\n34447 80591\n37161 59285\n55069 88026\n4732 55128\n18374 51711\n66665 95203\n1324 54157\n2478 17739\n15978 84337\n27898 65362\n23802 32300\n23208 35907\n4256 85405\n22396 99616\n47844 73997\n25923 36675\n6573 75069\n14452 49988\n8762 14274\n68949 88562\n67951 78204\n23912 83443\n25803 70553\n17539 37088\n10236 96979\n6226 23215\n67050 98863\n12981 81604\n25949 26897\n9542 25043\n44761 84325\n23025 51905\n2528 73990\n37660 88150\n95695 99265\n37267 58334\n82775 93517\n40314 42170\n20516 43596\n84754 90685\n36977 44072\n27430 57592\n52462 70315\n46319 70475\n41770 91994\n2335 10990\n14075 80289\n14101 73297\n228 48276\n36748 58908\n36690 63165\n14796 70940\n73309 84941\n72230 89454\n59935 64343\n38529 41709\n3003 92416\n17664 89262\n57094 66637\n64680 69799\n14626 73829\n19023 35726\n9379 85489\n25778 29404\n37709 60614\n1797 26970\n63883 69576\n41092 96650\n13641 96689\n20544 55442\n45250 83749\n61497 90439\n756 95473\n23001 84747\n34669 44872\n61668 77597\n25839 32565\n54194 88863\n42231 76676\n20189 34907\n58854 72892\n66016 89621\n38549 41184\n9206 79638\n6738 15761\n39851 53497\n31815 79168\n38950 85917\n17993 93572\n11252 53470\n86124 88679\n46699 79802\n707 55242\n64418 81111\n444 69024\n19863 80487\n56620 86478\n18047 36981\n12960 47424\n63008 85959\n47032 65065\n45527 75134\n22632 90063\n43184 73206\n85215 96987\n18647 23351\n31527 66579\n36331 62584\n69929 94922\n14146 78180\n55193 63098\n62555 79115\n602 32325\n23230 82156\n8669 94401\n67360 81776\n19698 88360\n10589 30176\n60925 90807\n37074 94043\n45539 50745\n45396 91598\n2476 15580\n18939 59460\n59747 89133\n4729 89885\n14559 99267\n17079 46336\n24073 89279\n2841 65712\n30426 58874\n50324 84208\n19175 34254\n1107 56250\n21010 69428\n28230 89775\n45705 69426\n15836 52916\n38775 74254\n41647 74650\n62628 83245\n8276 22452\n47773 79100\n40249 79088\n38785 74983\n50485 82487\n33435 43694\n91544 92442\n49988 78447\n52748 57159\n43769 76897\n43400 49387\n16176 23770\n12605 65918\n8371 79487\n50160 73001\n8938 34442\n25922 64108\n28285 98708\n85107 86513\n7482 43683\n74690 87282\n33077 33897\n54617 80241\n29420 65653\n48048 63990\n57557 92412\n32406 56561\n78470 88751\n9350 59807\n46918 95784\n11006 51656\n6094 45701\n76154 84240\n45136 60597\n25621 44524\n69922 79444\n15616 53146\n6640 85987\n27738 64138\n15902 44010\n82881 86068\n40877 64036\n46534 86123\n43024 81494\n37487 54981\n33671 64646\n21588 55607\n76976 93245\n62421 97556\n23216 84762\n22925 27676\n11674 76512\n2265 90775\n2848 83283\n62546 94734\n342 21636\n20376 51498\n25882 41574\n83990 93634\n24102 45860\n28754 99905\n19093 58985\n69878 89108\n19566 34787\n10084 54386\n28892 53039\n1178 93674\n6557 29479\n8625 87459\n73554 91599\n72213 93207\n45521 59821\n4259 70514\n9254 91815\n55977 96432\n28926 34969\n30181 92460\n22021 91174\n25969 28496\n25247 87178\n44036 87818\n38939 70482\n64879 95696\n4492 79719\n63031 93727\n78757 80200\n41362 89370\n31982 71187\n32681 43801\n4001 35477\n31156 99828\n15859 73024\n5292 72208\n39811 95363\n41195 77491\n20982 25973\n38056 54502\n12929 90074\n47875 48277\n65474 76203\n43224 43395\n44975 96614\n17164 36317\n7090 92599\n13805 97277\n21488 43369\n21219 72354\n20570 48940\n46498 92667\n15775 68215\n22762 92997\n1337 76805\n77734 94408\n3306 89316\n21338 78714\n2886 86091\n55859 87415\n16518 22862\n3943 48348\n29270 56322\n54811 99815\n47894 83150\n10207 96793\n40362 88686\n13570 37163\n32621 88437\n26576 80485\n131 3752\n3226 80668\n58735 94281\n73625 89725\n66214 91130\n17234 23307\n21238 91264\n85952 91373\n86484 92776\n2997 37281\n42164 99788\n14006 98815\n26012 89076\n11212 71926\n15764 74218\n28653 43525\n16797 19034\n4209 61197\n70174 78426\n7504 26292\n69348 76263\n7786 12363\n30872 73593\n16760 82974\n48054 74648\n48055 91199\n244 14826\n28461 64189\n13011 81326\n38907 69951\n85535 91410\n43756 79993\n73515 94027\n16003 71878\n35048 46484\n38594 93572\n2577 87811\n27909 72036\n35820 70097\n30181 35855\n17903 31957\n30166 46102\n29222 95425\n5555 96271\n18202 31130\n28741 36991\n14355 38574\n25945 36814\n12337 60095\n27665 48595\n78391 79405\n54553 81992\n69492 73857\n9030 80658\n3951 6225\n12798 51301\n17058 99846\n5876 87833\n32227 75954\n9899 84564\n7746 54316\n8260 20587\n22152 81709\n49831 76710\n3014 11239\n2440 85126\n73390 87580\n28902 44196\n38221 80060\n40113 46741\n59355 62252\n32518 45702\n38248 63610\n6147 25438\n5436 24497\n28254 54192\n16032 99673\n6376 40181\n14544 95952\n12941 77609\n17565 93157\n23118 77785\n46063 99010\n37189 94322\n75677 92888\n28445 81174\n11030 78531\n85728 87892\n10449 72515\n36997 73664\n3514 40283\n60415 89783\n10493 53971\n44131 63779\n59177 90298\n41734 89668\n27776 74081\n55785 98825\n2852 21162\n76247 87161\n6323 21052\n30846 46276\n18729 35980\n446 14623\n59608 87068\n36956 45682\n12131 33776\n46190 55870\n9990 41469\n66849 98737\n4193 6373\n66414 68879\n2547 64895\n11187 56651\n46054 50103\n11304 44867\n27240 29450\n5168 37008\n18112 66543\n15118 62902\n41783 99227\n19576 92217\n9048 72671\n79968 94507\n9452 10730\n636 39666\n4774 12571\n4029 76853\n25041 35128\n24842 88403\n317 37962\n3870 21027\n15762 20434\n45248 81046\n58907 64808\n14840 21821\n1093 48682\n35449 86821\n41830 82310\n32903 99125\n28825 56235\n20693 49845\n14459 76710\n49247 81196\n83744 96476\n39365 50173\n81 36785\n52275 89022\n15212 27788\n28772 52558\n72285 91710\n19081 77386\n758 3119\n29030 54542\n56738 97003\n15997 47708\n17920 40795\n39979 89799\n15516 28878\n87748 91192\n9754 81644\n48539 72098\n58715 65514\n41842 97239\n46119 95931\n76219 94929\n18486 78158\n16522 73063\n2366 90904\n23837 26340\n6610 39218\n14945 62175\n22548 90743\n17004 17547\n40127 91609\n899 76038\n52824 58590\n31091 38256\n35068 42695\n18455 78358\n2022 66017\n7342 91931\n24101 78554\n16977 44983\n26836 45413\n57363 58353\n27180 50897\n65366 75191\n13962 19444\n31013 82776\n15999 76783\n7060 84915\n11204 86179\n1090 74518\n15064 56599\n24467 32810\n50694 70105\n32996 46482\n24636 97599\n80890 91383\n40205 80335\n76237 99404\n65874 91254\n16286 57263\n86365 92859\n19394 57727\n22156 33704\n66097 82167\n39315 65776\n27837 94092\n72752 88726\n11974 83228\n46562 73970\n31320 82701\n8365 99104\n67671 93104\n9563 72652\n12225 74807\n14569 44488\n12707 24831\n22805 87829\n17828 36422\n821 76611\n1170 44533\n13863 74067\n60181 60806\n11016 83368\n28929 92376\n72174 74859\n5761 20231\n19066 35935\n11619 85626\n762 36577\n84449 84806\n31187 51628\n44703 44705\n5860 78885\n25547 50431\n20254 57844\n60672 97508\n69749 73887\n8085 81050\n40853 81682\n17324 90371\n13883 29155\n28991 29451\n18535 68541\n3214 5730\n53783 84110\n5045 66927\n1278 85976\n88957 90147\n3416 37856\n38582 80609\n3436 47131\n30003 94421\n3394 66971\n71812 72240\n39107 78106\n66058 66314\n20019 79798\n5382 67436\n10550 76869\n32365 39807\n30273 88635\n36293 59405\n25227 97069\n13658 30883\n1464 63980\n44905 60099\n40876 66533\n30965 55914\n25680 42237\n19875 44844\n89369 91886\n69996 95155\n15730 83157\n7041 12387\n7450 45200\n56440 60571\n6266 73836\n79018 88477\n43295 70939\n14028 51399\n55104 70453\n51080 76696\n16713 64534\n45637 73033\n59248 80669\n71010 83033\n3923 15088\n14477 36018\n8224 36923\n27177 54730\n58695 70718\n36211 81994\n5903 86286\n39013 69884\n20511 63201\n19859 90212\n15401 96071\n28451 98601\n40784 70431\n29240 53489\n48964 80820\n12518 48353\n24479 72054\n52298 53195\n8331 43321\n30186 68329\n37366 63648\n61859 76077\n5205 70342\n4413 80731\n3170 71127\n25912 69582\n41974 60592\n42962 72555\n3714 72316\n37103 88763\n31954 99587\n22003 40771\n13144 73744\n32118 32365\n23342 31829\n16031 25901\n29922 54892\n14785 55379\n50112 77602\n78817 96536\n59593 83610\n34594 89830\n30784 50124\n62549 74577\n68156 81245\n1534 96437\n29760 53426\n85299 86168\n72656 78591\n22674 41005\n53312 76034\n27516 69402\n8059 99035\n40284 67802\n21889 23949\n23426 67789\n20111 97559\n48621 52152\n60875 71261\n28310 54336\n9202 12580\n31279 73075\n64289 83617\n70561 82626\n24639 66642\n11294 39339\n20846 36050\n54131 59461\n27008 64924\n29194 42351\n66494 89589\n23921 63653\n1244 41377\n38984 82248\n8650 35999\n51563 69474\n10350 60598\n8327 9953\n70327 80807\n34507 43651\n5256 83689\n53907 98505\n33339 97929\n21986 85712\n21528 24130\n9241 9335\n26545 64412\n3405 99718\n53260 84194\n70324 89891\n11655 69196\n10626 12466\n58567 59466\n16424 77123\n33507 73641\n43136 67534\n34998 93210\n21032 34158\n34063 43268\n28500 77385\n59197 97539\n27533 64958\n28483 73233\n10356 65631\n56389 91032\n74454 75496\n11107 47426\n25787 89782\n48636 62952\n29029 49807\n22508 89716\n44932 59888\n13267 27688\n32261 98692\n31776 42152\n28643 63460\n18345 51190\n20255 67452\n551 67574\n66081 72380\n20718 40154\n21478 51861\n6489 6995\n7738 82192\n48896 80872\n16253 88104\n41952 41995\n33827 82098\n33811 60173\n18123 55613\n6637 43678\n24861 89848\n4856 24678\n37706 68759\n73771 75990\n36820 44165\n26922 90873\n14991 77905\n11375 14871\n46077 69810\n12149 69716\n20156 97402\n7628 33986\n4785 60417\n45661 99311\n68905 87036\n56739 93447\n13389 95319\n35743 74787\n18108 66975\n11326 97006\n357 43638\n55551 89018\n11470 97682\n4468 58683\n14372 41255\n42907 87523\n8852 99738\n3850 11184\n13429 81002\n44580 78292\n809 38166\n39444 43208\n48970 63648\n16990 41308\n41798 96307\n14431 48289\n18990 26640\n52773 65696\n47141 68284\n89664 90947\n28250 94555\n15564 65187\n78259 84778\n36427 82828\n14153 27138\n1524 10006\n68334 91227\n6605 49490\n19838 83294\n17373 81185\n28785 81979\n5271 15789\n60682 72942\n56165 77283\n8344 71126\n27175 46396\n26454 63868\n45701 98106\n9827 70727\n3316 30860\n46211 48929\n30762 68887\n9761 72857\n8607 52594\n90618 96675\n80433 90737\n76606 94952\n17511 22417\n16559 90502\n44586 57035\n14621 99321\n26833 46311\n48695 72799\n21998 76080\n9863 55770\n46113 52677\n60007 94281\n30450 97613\n31825 70852\n11994 53597\n16462 44746\n45707 94687\n34405 61597\n10924 60290\n67347 70645\n45479 59503\n44310 98782\n40356 75794\n60364 98262\n18760 87504\n1723 31065\n41521 67635\n62172 94238\n12108 63746\n31379 81794\n57493 85626\n997 48142\n26948 33690\n34159 34849\n43364 74430\n57721 97768\n27384 41541\n64847 82864\n81738 99591\n19590 67992\n52387 74363\n39891 53730\n22726 57620\n58309 72336\n18043 53558\n48290 87214\n21451 33059\n72398 79147\n47998 83093\n17682 40682\n97973 98958\n9531 91228\n41999 60752\n22498 94939\n35176 89943\n38989 99118\n11982 67916\n56808 91358\n11625 90574\n63339 99305\n28148 69287\n36109 43292\n33214 49593\n20779 63605\n50816 68560\n39748 72239\n5383 35161\n4093 5047\n8137 18954\n22367 56884\n19911 35156\n34939 80281\n35042 41331\n58770 59814\n53939 66875\n45741 96416\n49205 97696\n3309 97571\n5047 74515\n40996 50793\n37070 70350\n9425 70817\n41952 42634\n80542 88295\n5136 47839\n9223 65534\n19401 30150\n1362 74038\n67702 95256\n3943 77362\n30002 58756\n35542 90878\n22126 46800\n34184 59197\n6608 88733\n3140 92676\n12643 77665\n28230 42637\n35157 89022\n73919 75273\n9038 31709\n26054 30863\n3996 54521\n10881 60934\n72783 94308\n39966 90899\n53149 59797\n15932 47908\n4293 23262\n6308 84236\n1606 55772\n24147 69108\n30723 63049\n6979 33433\n47932 86708\n31223 50694\n6862 7799\n15186 76373\n33288 96120\n24329 46823\n29900 54003\n35830 77271\n65386 77284\n59316 92518\n54419 88502\n6284 7269\n63730 67964\n19567 65846\n27986 32550\n3515 64195\n2132 97158\n59279 86485\n1822 19610\n43587 71103\n3971 23017\n69997 82781\n3269 51093\n43742 98997\n67687 89399\n6524 20529\n45598 84485\n73765 98285\n19541 52950\n9021 89482\n12776 45856\n9380 94900\n4177 11615\n30730 65843\n53320 99462\n44875 59045\n2342 36343\n41725 50228\n72631 80300\n33045 95580\n11725 59398\n8070 64043\n60415 65223\n31740 59333\n45985 91629\n25177 45681\n9822 82738\n90969 92276\n55675 71049\n25692 94690\n25871 39330\n5137 72233\n61727 78919\n29409 76859\n27642 86394\n32591 54629\n5768 58447\n78617 82918\n10025 20195\n51717 63631\n73617 88176\n92991 98737\n21127 41840\n30652 40263\n25756 42524\n8806 21768\n24907 35000\n30684 96982\n27906 39061\n49127 64680\n38499 43977\n78224 93198\n21238 84526\n37878 96494\n1453 36934\n2023 80677\n17869 28614\n9224 97762\n13825 67462\n10680 26836\n43343 55632\n11435 48721\n21989 58961\n20519 21454\n84361 97494\n80441 93884\n16907 32491\n26584 55982\n33303 82774\n13116 94234\n38878 63633\n13990 56611\n46044 52665\n7934 30210\n8753 65274\n9375 87988\n45493 47453\n13664 75310\n12638 95929\n6134 31442\n28090 33998\n30409 33829\n36038 89214\n4533 48300\n5020 45799\n76535 77868\n971 85612\n10581 63040\n287 35457\n33411 48111\n77482 92578\n52347 62041\n80103 85628\n10115 17235\n30636 81856\n27313 36446\n25358 68206\n9629 16892\n65498 74137\n62450 88826\n17987 80692\n11179 52448\n35023 40371\n39536 52182\n32053 38809\n73885 91626\n40977 96597\n19948 44811\n3409 75581\n2568 31330\n63436 91708\n4282 83932\n26124 86239\n42701 48546\n22964 77626\n47963 60396\n11541 73700\n43320 54340\n45932 88527\n14938 33593\n18477 34396\n29544 56746\n87126 87795\n44957 60483\n3376 60518\n38179 85961\n26102 38366\n92652 95713\n57703 88274\n33357 37335\n61962 79238\n4791 19061\n63447 83928\n15891 27417\n9011 37969\n25014 58072\n19624 95963\n4356 36149\n29377 93309\n16574 34211\n5869 80571\n1283 46668\n53227 69533\n54922 76596\n41734 68986\n35942 74809\n3319 86665\n88832 99699\n93544 98833\n3526 61066\n68011 73183\n40565 73976\n51401 88063\n21055 55301\n42459 76969\n77140 99299\n28699 98045\n5976 17438\n40917 55539\n12213 87946\n84372 92000\n31364 81861\n4698 50630\n2148 49513\n1651 66517\n37567 85824\n17099 53778\n72970 75650\n7798 32028\n64240 76804\n7922 21419\n8050 76371\n6456 11095\n698 90767\n25953 48872\n4293 43217\n9875 47115\n15717 38143\n46157 90563\n3585 22504\n41953 99473\n9637 98947\n88169 94199\n8676 40894\n19439 70359\n21512 69222\n46244 47387\n66685 96945\n35071 92203\n25577 68354\n37724 87842\n35861 79456\n33182 97345\n49626 78370\n29098 55702\n5395 83309\n33019 88341\n52848 86939\n25269 34867\n5739 77324\n10888 11774\n33478 57998\n10895 38026\n7135 57412\n58663 76406\n22104 62672\n78093 79117\n90280 94744\n33343 49664\n52500 89417\n40935 60414\n26755 45945\n60778 62000\n29740 47583\n42991 46854\n5442 63509\n64552 79019\n8175 26388\n24111 80638\n70767 92426\n25144 53168\n30268 40259\n92750 93037\n38935 75508\n30139 63030\n38944 88975\n45774 59525\n3238 21394\n23224 54696\n55906 80942\n34322 93779\n76386 90550\n3575 52050\n24956 57345\n51962 77649\n17594 24888\n57525 84120\n17064 20038\n23215 38666\n14875 27984\n94401 98241\n24607 61958\n49288 51307\n52301 99037\n5456 62381\n56218 70994\n14612 41850\n8672 87538\n1646 40778\n44595 50583\n69255 71312\n45730 93914\n23403 75881\n3091 6088\n38109 72220\n1216 34289\n63177 90026\n25331 97643\n20579 70108\n3989 61511\n20835 66981\n26817 56253\n36693 87843\n6647 75619\n4396 62534\n46856 51304\n52410 55439\n58557 74342\n26620 58222\n67409 89378\n10405 62990\n79492 90823\n10903 27942\n29879 71680\n79598 79840\n32444 48016\n59118 95177\n46074 47528\n18285 79260\n17402 38267\n28079 82805\n81289 85981\n90621 99306\n15725 97701\n76667 90993\n1456 50757\n4641 28173\n37768 93701\n46091 80012\n14654 71678\n76479 95677\n38231 56763\n28304 64556\n71311 85100\n87303 90021\n36981 86783\n41581 42016\n10368 81557\n15756 24269\n41081 76027\n10227 92093\n14095 15039\n61008 84629\n40335 57869\n29886 88327\n64942 86214\n21536 56733\n17941 20105\n6395 80850\n59349 66429\n10867 16598\n3880 14890\n41578 53736\n499 53359\n52767 53924\n5443 46258\n34184 93134\n37286 73001\n18852 64495\n57316 59997\n12264 20630\n20866 26687\n84473 87791\n36371 71946\n59543 68138\n55471 90281\n58173 75585\n28940 64162\n74145 99513\n50238 58960\n16105 98282\n61672 90272\n9952 69890\n3208 12945\n69489 93917\n30811 44216\n34351 97012\n74392 82774\n17617 84506\n29322 74356\n52409 95154\n20202 83354\n34330 72185\n59545 70265\n27287 46554\n21472 26387\n51084 69990\n12482 54759\n393 25473\n19618 60450\n4248 27273\n96752 99514\n68543 92873\n28701 82841\n17981 32126\n9233 50024\n43006 63728\n3475 71749\n28599 67175\n24732 69385\n20659 56365\n31689 47319\n16686 76991\n2053 12273\n34712 46668\n67415 98556\n11587 58291\n12590 28906\n15412 26071\n7784 79810\n63553 87847\n51302 59813\n29637 62729\n48781 90634\n59042 64982\n59396 91638\n13922 70863\n35436 39526\n1971 72951\n85154 99758\n30829 96672\n9365 70987\n91029 91326\n42639 67921\n77342 94724\n64023 83725\n69674 78178\n40304 92586\n38805 64809\n43922 82640\n7378 92978\n10064 17388\n88683 95519\n4422 38791\n26232 39933\n18743 41413\n82078 87348\n13263 42615\n38078 67127\n52324 98550\n45075 77900\n75853 97528\n65977 82928\n28838 57894\n6430 51194\n14830 40799\n19991 38527\n34687 75944\n85392 85879\n25009 57507\n63725 93329\n55833 62163\n69829 70766\n5862 6383\n51946 65470\n57467 71781\n26558 65198\n72847 91200\n49557 68610\n15453 87306\n37966 88812\n20993 73171\n44443 56366\n70402 78615\n34326 85553\n15829 49038\n61711 82679\n5772 50231\n7890 95965\n3505 43583\n24272 70459\n13893 66690\n38703 50818\n62389 82241\n72599 96875\n20621 32760\n16283 68608\n21618 27008\n1868 39015\n1758 54912\n72400 98856\n11985 80837\n88382 96563\n36748 86526\n31616 90453\n1291 76540\n14570 77573\n43051 96082\n30528 93479\n26311 71754\n12045 95629\n144 6353\n40658 98408\n8621 37381\n4692 35404\n3512 46965\n64066 72522\n4028 60032\n77261 86038\n71862 87989\n42271 85476\n25103 32299\n30084 47880\n8063 49261\n4166 61028\n11585 27805\n67983 96828\n40881 84615\n13495 56382\n21700 88613\n53 68036\n40262 47593\n56453 57593\n3014 32807\n18564 97071\n6491 80616\n4669 15624\n38009 43836\n1848 61221\n18477 24213\n13268 15478\n38204 82359\n8324 65420\n12320 92781\n9373 58238\n82995 95300\n56887 63973\n63528 99716\n12596 50794\n21502 42340\n40420 78521\n13792 70850\n1125 73503\n28592 98125\n84090 93279\n21898 37333\n45354 72702\n4774 66781\n2223 65201\n18105 19288\n22012 47760\n61385 83218\n70131 78407\n71263 86721\n19873 50139\n16087 56386\n2585 67482\n24025 63982\n19027 95032\n8605 30279\n58198 63488\n55374 74578\n22432 46942\n15445 20085\n34439 80170\n24557 78448\n4733 21472\n88367 93707\n57345 78580\n65577 86496\n55359 85379\n25220 49058\n993 85240\n30041 51783\n64813 76479\n12025 23625\n11516 13831\n25367 68524\n19375 88893\n9134 59074\n36561 48289\n35510 74947\n5785 27318\n58274 98942\n15929 52083\n38042 65486\n75618 98839\n9974 87691\n67923 97661\n37330 75742\n65174 76345\n24385 99219\n72023 96782\n5327 90808\n659 31846\n12594 74484\n42121 60825\n4934 87705\n38921 62513\n65564 91693\n21232 43653\n20002 73669\n2001 37447\n33329 37878\n63939 93586\n6356 88134\n68934 76475\n46441 90253\n54916 66148\n43365 88856\n14840 48976\n65810 73636\n27195 83523\n3269 55360\n49591 96556\n38187 44132\n73132 98834\n61912 84027\n45368 77114\n13375 81554\n84275 88522\n80060 89853\n340 29857\n19236 44380\n19956 38819\n1417 78444\n24225 42308\n6765 44822\n5874 99505\n15195 29260\n4446 57149\n362 67641\n44830 58945\n14922 86367\n49185 54846\n93351 98147\n44470 93130\n4385 78614\n39560 40554\n94064 98297\n41628 91185\n20576 66330\n48115 76518\n26909 54739\n23156 33842\n22576 44872\n33289 94313\n53064 93294\n24293 48664\n63404 66470\n21734 21775\n45603 57962\n8062 79392\n20765 68243\n10693 88523\n36216 92505\n28082 37810\n457 56161\n72521 83135\n40008 48192\n10763 47982\n34223 98682\n61642 84211\n81609 84378\n63572 96086\n31719 79960\n42847 83777\n6801 50778\n38499 71383\n86037 88904\n32580 71435\n3341 79928\n26175 86554\n9617 49732\n40531 89891\n42412 73018\n28691 68331\n31247 46757\n63885 64000\n13024 71086\n48294 67837\n79798 84162\n18786 29872\n53254 97083\n2605 92178\n10933 48541\n10192 59153\n7475 30745\n50345 91481\n29021 80676\n24522 32022\n7039 19074\n86976 96504\n51756 71571\n13969 27760\n25056 48340\n23914 63580\n20749 47225\n39009 39836\n18349 68464\n7448 99497\n30489 53555\n2690 46131\n22608 55260\n23447 65686\n75685 85679\n13915 18031\n38705 87726\n48881 99290\n16902 98121\n52998 63903\n57445 80561\n47350 53201\n52360 70688\n745 71345\n44963 72696\n10005 98999\n54837 81616\n18550 63575\n12434 26446\n51174 95176\n44083 79527\n795 47042\n49882 76605\n87860 88510\n16295 28283\n52546 99755\n54296 84394\n30574 71616\n68096 81917\n2313 2431\n16093 51779\n81499 98907\n38874 58365\n39169 93463\n62829 77536\n391 14623\n71742 98585\n8434 63244\n41995 95162\n24788 25629\n19694 82753\n50636 85753\n10263 14650\n20429 74649\n21341 42506\n67815 75830\n86868 91348\n9657 95391\n7643 99016\n12889 52609\n35794 80609\n17545 83887\n30321 97693\n75290 87020\n17010 21096\n40670 78849\n36430 79555\n15648 25151\n6097 6530\n86866 95243\n7082 30366\n12358 31869\n56167 80924\n13509 98971\n9064 17942\n23366 66210\n8514 49351\n51782 95891\n68648 98226\n31781 32455\n33434 91291\n89121 90939\n25529 35780\n20032 42889\n27345 59881\n19059 22480\n10517 13060\n45446 65765\n80952 96898\n65009 91447\n29227 65619\n96428 99291\n529 38321\n15371 43018\n8716 13062\n48513 55732\n1137 69313\n39458 84901\n18670 43651\n70075 73499\n47834 57416\n47053 72136\n15802 22863\n82691 85181\n34243 60425\n10079 98450\n46240 62876\n7439 27228\n14412 32128\n36915 51346\n30062 35140\n30992 65619\n64271 78632\n8531 59010\n19580 53619\n17989 40767\n95832 96057\n33864 60289\n16053 21746\n9553 86572\n8858 59807\n32869 43309\n2554 87089\n41097 86537\n57412 83927\n31407 61910\n15718 86740\n53693 64404\n30942 60946\n5262 71253\n56889 65911\n10435 92928\n11877 78961\n3055 6326\n42129 91134\n1000 79858\n57126 85256\n44260 86436\n28397 52936\n51003 77895\n47732 60641\n5936 67217\n76437 91055\n27978 70234\n9496 62369\n60534 68517\n12053 44260\n32142 78004\n22017 96607\n60739 76448\n54001 62155\n408 74482\n22221 42610\n62569 78158\n31242 92499\n5959 98088\n17401 30319\n21523 30399\n2993 60488\n72096 87887\n16057 83671\n19947 53710\n73775 98076\n6931 83102\n14391 18652\n22606 49145\n13315 84714\n35514 40036\n45693 63842\n18250 43248\n15952 80802\n23800 56052\n11785 91905\n3292 11405\n3857 60330\n77686 91405\n34927 37091\n59713 60733\n30919 37549\n1699 47290\n30152 62506\n64535 97830\n9147 10189\n16358 35558\n21167 86211\n53101 69377\n47107 59665\n36180 61904\n70311 85446\n19206 42034\n15955 72327\n55661 77864\n26090 55483\n57226 58853\n29191 65586\n23912 55815\n38808 96104\n37494 63036\n26756 48151\n777 2875\n25424 67873\n20026 60126\n22281 76093\n31145 55232\n69323 92590\n54209 58836\n4050 95336\n7042 49645\n77366 79110\n1404 35723\n23333 48912\n28216 50874\n90588 99510\n51630 68039\n47967 97062\n14926 36523\n36358 71363\n79250 82725\n12780 67173\n57444 67825\n48692 99477\n11642 28107\n80585 97750\n43855 88397\n3303 72425\n60514 65633\n64648 99124\n35770 73156\n17651 71294\n3679 84841\n62527 95917\n21578 41612\n45441 84832\n12398 72840\n42633 63624\n67434 89033\n41336 49227\n3927 26730\n12710 62160\n63711 74550\n9313 67138\n21174 49533\n87362 97064\n15878 50753\n62810 95622\n18835 35250\n5632 76172\n45783 96890\n57751 59486\n40070 71211\n40952 46674\n53104 63146\n37597 47321\n3401 45408\n237 93425\n5420 91475\n41444 75162\n65237 78148\n65716 80730\n39747 42549\n25696 82421\n38979 75942\n78946 84119\n50885 95298\n24334 88311\n48009 82904\n26050 41302\n63210 63220\n31685 89922\n35699 39986\n63049 69190\n18486 70950\n89694 90885\n33243 48454\n20046 57793\n10340 69095\n27765 70554\n35880 90365\n7061 46442\n69996 71127\n71259 73993\n22240 48875\n46135 46488\n25088 36786\n55923 81047\n24492 86155\n3463 88658\n68717 90375\n87219 91568\n17998 40532\n11610 60667\n18873 93888\n16699 74556\n73717 83016\n17995 24455\n2329 21136\n2793 36933\n37270 55838\n53203 62152\n57854 83492\n8445 34517\n37973 76200\n23645 61688\n40390 45221\n36835 57994\n49338 69623\n20934 78419\n9316 38917\n79148 90924\n37240 59481\n36697 90898\n64896 95832\n11696 86679\n19402 65008\n57278 89346\n24706 94950\n36238 44005\n17755 78563\n36534 86422\n49472 79273\n4191 80152\n85361 87963\n27948 38446\n31611 56824\n15395 85139\n61211 80553\n37362 66656\n51264 61286\n6728 76492\n8925 45267\n53170 72112\n5472 82413\n8454 95302\n11057 58055\n20624 83602\n19267 24369\n40308 90153\n21169 83884\n998 19507\n12600 87927\n35028 71867\n19534 90659\n31922 56247\n41626 54772\n20658 57267\n19190 68972\n11125 74938\n53313 67407\n19884 58695\n1608 3813\n23017 65390\n57840 80521\n47183 78907\n2736 74529\n4058 42334\n27827 97952\n3769 67202\n10312 65344\n37204 79054\n645 10432\n13783 91672\n50864 73671\n39584 80553\n62200 76767\n7076 85887\n37107 68346\n67841 93461\n6586 69432\n50430 56929\n74596 79927\n51901 77710\n43289 73449\n44451 93432\n3411 98608\n15131 53719\n25435 61700\n26811 57803\n20895 68306\n27951 48759\n65681 74941\n36825 85705\n49927 56303\n27039 53499\n9925 62681\n20270 61711\n21552 39612\n30710 59306\n66583 85549\n64132 99016\n39177 54696\n61052 74276\n76915 96801\n57090 90451\n7045 83013\n72978 78261\n39157 46833\n49649 62516\n88838 94677\n47506 54543\n6822 27995\n282 41638\n87703 99971\n69357 91175\n20027 29289\n34252 59315\n58859 98959\n33912 89395\n6232 14458\n7723 12502\n27736 36573\n42849 74253\n37336 75389\n25599 73498\n74655 77236\n2141 32550\n85129 99122\n70091 90217\n32394 75502\n35772 67378\n71133 90531\n46620 97423\n24195 57836\n60531 73711\n22881 70552\n10451 83985\n48781 54381\n16587 99209\n36039 72231\n7698 95457\n67345 87187\n78673 88709\n5043 57812\n27768 30688\n6663 25618\n31588 44920\n13682 62224\n11471 14184\n2067 77863\n72290 75438\n22495 40978\n47872 95833\n28594 57779\n9244 37496\n9442 81288\n7490 15962\n49967 55955\n50763 64980\n12680 30492\n44245 71987\n5824 90499\n63880 66973\n46914 65443\n57449 73510\n55996 87845\n50834 88239\n1284 68945\n19259 57405\n78556 84879\n25023 88139\n8511 25874\n16796 67539\n36363 67464\n60607 70579\n80871 88569\n54962 61353\n78484 93877\n28987 48207\n94932 97761\n18718 33001\n48874 69351\n69790 84303\n19364 90301\n37160 74106\n40180 56784\n71368 83844\n16154 46153\n3596 59217\n52791 57528\n28969 90935\n35324 39437\n6419 9019\n44225 92439\n3669 84213\n80206 88570\n55029 79242\n7128 68117\n5797 96832\n36872 71641\n9669 40570\n16042 72252\n48180 74751\n51802 63348\n51104 95751\n28003 46695\n26029 52073\n27006 27199\n58077 64722\n20895 64454\n33495 93244\n54533 99512\n9580 55072\n16355 33083\n6763 68785\n10141 96929\n2472 62856\n70947 88791\n53248 82200\n10731 43754\n17998 18157\n89986 94245\n2346 41054\n32363 57534\n11954 65202\n26597 41340\n87776 88512\n29396 77504\n1148 77145\n11945 14771\n57646 81204\n87220 88380\n19028 67557\n36301 76507\n48963 73651\n8484 58531\n17353 31092\n6831 49341\n14072 81997\n10851 48871\n44746 96787\n27007 29410\n9497 53253\n12200 14430\n50651 51047\n45284 48583\n4327 86415\n26182 35575\n25674 45123\n62958 68078\n2840 74095\n947 34010\n39885 86002\n856 36604\n39500 78644\n7409 38793\n32410 74473\n21209 85642\n52089 98363\n4374 41880\n6812 58619\n72659 99011\n50970 87630\n51809 75203\n44421 48273\n1240 76099\n58791 99822\n30095 69772\n88101 90781\n61101 82630\n36488 45504\n1863 72610\n6510 84462\n25270 28956\n70943 92961\n55029 64018\n64865 93802\n5526 84664\n6743 41989\n14643 75624\n34746 80256\n79316 96771\n5679 39740\n43330 62412\n31618 33759\n18424 68242\n19553 38567\n31021 75585\n2777 17985\n6109 26315\n16545 31575\n18763 23350\n60166 87688\n22524 95012\n73496 97910\n7686 87720\n1462 1903\n39765 68548\n7053 84906\n35993 86422\n15865 51215\n39566 46093\n38336 72317\n70224 71413\n50078 82208\n13271 84919\n5960 55006\n55097 67095\n33340 49617\n16700 84340\n37167 75495\n13379 52320\n6856 81762\n51129 89678\n16584 23105\n29457 90945\n10166 65444\n37147 90961\n4309 15522\n12731 37733\n57305 91222\n18081 25639\n58689 85339\n41377 72617\n32095 81412\n49540 55324\n4230 5135\n64390 97681\n45003 60231\n75228 92539\n28867 83824\n27688 81035\n44199 80150\n1452 67168\n56616 92570\n501 84077\n42410 94918\n9058 94235\n62091 97791\n15352 58726\n32484 89469\n15528 53404\n47964 68633\n9655 25566\n80106 80480\n57 65532\n78195 89188\n65410 73773\n83763 89029\n56442 57149\n23240 31245\n48604 83265\n75222 92886\n33199 34387\n20289 68735\n8010 28108\n72101 94942\n34788 97020\n14530 70307\n3837 33269\n82315 87470\n46496 79385\n78572 96234\n15511 77516\n23281 26643\n65991 96755\n62822 75291\n10634 37474\n12277 18188\n133 92073\n23100 41430\n19505 66846\n8355 94849\n92864 98910\n7692 94446\n39390 76010\n15539 55501\n39414 83051\n4881 50220\n1286 93649\n50451 57612\n3694 66073\n13803 49280\n29736 98542\n32174 79957\n8235 14018\n64960 87021\n49332 99650\n24125 41870\n23791 75194\n84064 93838\n70786 79392\n5147 72016\n60467 89768\n22240 37505\n3334 18539\n14585 71287\n48074 66088\n68707 84304\n57731 93659\n37277 68394\n12469 51439\n56261 79836\n51006 76541\n80790 87997\n18775 69190\n4677 6168\n21616 36106\n29299 95657\n43533 72939\n42454 54156\n18809 59519\n56229 64672\n40605 49150\n10400 57625\n75086 81219\n2713 61703\n10166 94573\n26694 60263\n69007 70507\n39678 51376\n25374 33011\n18382 64669\n60294 61375\n15112 90712\n21701 78122\n54949 78487\n45980 66415\n27878 85027\n57788 63450\n74119 89705\n23407 78594\n49881 61473\n55576 65496\n17950 79110\n25645 78316\n10294 82948\n25277 30925\n3669 43180\n23269 58199\n5471 38892\n37827 69198\n26667 59142\n38725 95665\n43680 67468\n13311 47933\n56098 70155\n13483 98553\n26177 50845\n36843 83509\n8161 32730\n30144 35240\n22034 60479\n91418 91657\n9906 53380\n61539 71906\n25826 41196\n66791 93014\n1580 77388\n33729 55457\n32550 38193\n19715 81892\n12478 22602\n7933 63360\n72111 74490\n33908 45902\n28089 90761\n25013 93267\n12579 19286\n30787 75249\n25070 81968\n57464 60599\n44184 90555\n70290 91097\n5842 39052\n69990 82473\n56097 86596\n9204 92786\n10093 61026\n26208 48873\n5029 27842\n1370 95001\n29201 67729\n12526 63841\n17318 37291\n938 41075\n18771 79515\n40740 71411\n86222 90360\n62598 82436\n64393 92004\n24177 74654\n16150 48514\n3648 57301\n17422 59885\n7591 34386\n37884 49855\n38364 85689\n8566 40735\n33128 39112\n71895 73485\n97526 98335\n23588 58263\n16214 85689\n39064 93604\n22556 94908\n6975 7153\n31293 94058\n67702 99788\n161 69888\n78801 96798\n8132 12531\n12635 39546\n38652 84766\n50901 97647\n31093 38114\n41163 77452\n68860 91342\n35199 61706\n1210 56063\n32392 65566\n55625 86045\n50902 94161\n15737 77450\n13026 27795\n26505 90761\n43150 66354\n5017 45343\n570 82330\n4979 60446\n35266 48953\n57608 81034\n59931 90487\n20299 45683\n28417 70326\n58568 69812\n27095 75680\n25418 87516\n35272 52616\n4346 94512\n550 63493\n66247 82474\n75878 84679\n27831 29492\n77519 84767\n32269 70643\n23061 35689\n15896 87796\n36163 60694\n4188 93068\n35885 61991\n66543 90214\n14981 75696\n38400 44974\n23814 86604\n56451 67675\n19312 82643\n48192 49980\n57012 87177\n32398 58546\n337 96573\n35321 82080\n48058 68946\n14755 16693\n44379 68003\n8424 69909\n44480 56951\n561 99404\n70966 81283\n2114 72184\n42776 85269\n70945 99908\n23101 27465\n57419 94657\n1201 78602\n24831 83104\n56223 61194\n20036 53698\n30370 83267\n13331 23320\n44394 69559\n21951 79171\n77146 86730\n24714 47900\n32077 89107\n13268 69438\n24350 37734\n18108 30110\n26476 72999\n49755 88802\n28403 29621\n69142 97436\n5497 13983\n78894 93987\n52272 56420\n57152 97176\n7609 8481\n34518 98327\n39348 90324\n73859 81673\n47833 94792\n83327 92255\n70703 75947\n31103 66999\n21493 82261\n3576 37558\n1965 38182\n55673 99610\n71296 79876\n38916 86151\n35006 89848\n34853 70292\n30633 71303\n68372 97710\n11492 19266\n64813 99381\n34400 70532\n58371 84969\n3731 36946\n39105 85289\n14322 18425\n12381 77346\n29356 38864\n51278 68330\n11355 36340\n48643 94373\n14663 16989\n22825 83550\n41356 67070\n52360 70820\n1789 85369\n5326 21441\n37799 65543\n16043 82761\n6077 94683\n26961 32676\n52817 75795\n30630 39360\n54233 82726\n74879 89164\n65553 73640\n61776 76558\n2986 65710\n1177 37120\n11963 28090\n59038 98974\n19870 37723\n38774 60769\n19019 46422\n25284 76314\n6191 47459\n5642 17100\n57699 74183\n16235 93082\n7579 15566\n33153 76548\n13651 48778\n7722 50102\n43344 49321\n71783 93991\n43507 62054\n2465 12048\n43936 83349\n29441 79791\n76834 81897\n11556 55189\n6922 84497\n44890 76841\n54616 58162\n55088 84448\n4186 57641\n25131 43091\n3744 47494\n36718 51183\n57547 83153\n89771 91369\n25098 27527\n14783 61262\n32935 93714\n44668 86753\n74261 84423\n20012 72490\n27417 31360\n14633 49280\n56349 67941\n28259 82379\n35119 51593\n56073 91107\n30852 55539\n16021 19758\n32964 89179\n54792 67332\n39436 95457\n814 2394\n91345 99034\n1695 56483\n1599 9485\n34886 92562\n9011 48262\n21583 49675\n56662 98710\n62367 69579\n1942 34854\n86575 99410\n18745 29112\n9377 23538\n45329 48689\n24281 72408\n45141 87651\n21599 85046\n22261 88989\n77708 83780\n68067 91516\n19330 78530\n25983 85833\n35733 40298\n71671 92029\n24198 77783\n53686 94177\n7711 65656\n43633 80309\n33409 87568\n31726 33541\n1942 71821\n71885 82029\n44092 76003\n32632 48766\n35921 47887\n17817 85691\n88430 97883\n2463 17363\n5537 45227\n72651 89761\n17274 35177\n4861 59634\n45717 96606\n59956 74468\n48859 50465\n10627 41744\n48618 83744\n79091 92039\n7178 37107\n13484 49273\n29814 82137\n81152 86537\n25335 34342\n25187 74330\n12782 45547\n58236 60773\n91426 94905\n30328 75203\n27702 28553\n21720 74411\n20001 52792\n16990 41551\n16537 88614\n73144 93327\n5233 91719\n48848 53521\n46334 79107\n41185 87499\n29959 72684\n25461 78289\n21388 60147\n478 45412\n46965 80152\n10147 78607\n36290 67210\n39061 76232\n1160 8089\n59449 63719\n52117 98167\n59999 93092\n44291 89154\n2873 84166\n37327 90400\n2967 97058\n48193 52402\n28436 85130\n1471 33351\n43162 43916\n32084 62954\n6309 64869\n28860 33696\n37654 60749\n68308 73575\n70835 72901\n54111 76990\n63854 67234\n9746 84249\n34077 40563\n29769 41796\n13142 13890\n30340 68241\n59960 61630\n3495 28791\n22758 89329\n37842 44508\n90210 97354\n18843 89406\n29309 38075\n35305 41109\n59837 82026\n29419 86446\n9675 36828\n49133 70714\n38383 51152\n12155 17722\n18665 52893\n4470 48955\n8191 53798\n404 85573\n9946 51192\n14108 66538\n32020 77185\n21057 26507\n25747 37971\n69630 88510\n45320 82008\n64629 96433\n54856 86951\n35741 68653\n16744 46821\n7552 32433\n16385 41264\n45230 94032\n5543 19983\n30868 70593\n53094 71520\n49683 69900\n40039 95106\n31422 96083\n35145 43027\n20075 38980\n4520 95755\n10892 82110\n29921 63961\n39834 56186\n28988 50958\n78236 94336\n79496 99897\n8456 12100\n14744 34603\n63711 92708\n24851 63060\n90209 98250\n8341 78789\n80726 91785\n24162 71975\n49439 66119\n1256 85941\n31524 74883\n15162 19394\n36809 62251\n64893 65196\n76023 95027\n18373 21832\n23690 88939\n79993 96674\n29744 62087\n7783 20580\n52915 78788\n52559 98999\n54508 60240\n57410 89091\n17297 20146\n1072 64217\n10331 56447\n20547 58255\n13100 59138\n2324 76086\n27325 52073\n34748 35929\n19657 83727\n31076 77683\n35265 93131\n4176 55710\n18956 70144\n77036 90822\n69357 87499\n45780 69614\n19496 25267\n55442 67954\n16017 80390\n21757 78873\n26945 61258\n21461 67403\n15346 67953\n67792 67903\n21904 50178\n23405 73486\n91437 98435\n79389 99864\n2041 75928\n24941 38070\n26883 51807\n68701 98842\n1038 21863\n7817 30864\n49403 81276\n80789 81039\n44255 90909\n47069 51901\n24962 34086\n49200 75715\n9155 15164\n41416 90933\n78117 92373\n4014 25267\n37842 76402\n19917 59479\n68435 92810\n27967 80011\n16117 40369\n5320 34981\n69126 96793\n7596 82337\n46776 85954\n18324 52989\n43730 98181\n14615 21172\n21215 76998\n5430 85839\n28449 43199\n36905 66104\n33832 87749\n11323 42646\n15913 34931\n1127 30748\n1160 46603\n32999 76892\n46817 94382\n12302 97307\n93979 97078\n31732 85375\n1766 35946\n4896 54399\n28988 36140\n43880 96423\n13320 96508\n59502 83708\n61800 99841\n4391 16500\n64300 72905\n1160 10695\n33275 74476\n71032 84325\n21720 74919\n34568 76522\n42520 73972\n572 5260\n3004 41638\n26008 66081\n39661 79577\n40807 45109\n20311 77496\n9052 80260\n36548 94845\n1264 12747\n15875 54138\n14709 69286\n36763 52855\n67430 71804\n6097 54317\n63278 89270\n59050 90224\n47933 87202\n21477 83245\n11981 53413\n45033 54352\n13616 45080\n50533 59687\n16338 69017\n8932 29547\n4809 88393\n9579 20044\n30159 57206\n8720 11838\n10913 77252\n10195 54686\n15349 86807\n20817 63011\n72571 86110\n50933 68244\n3896 22371\n46431 79431\n53106 59289\n4908 29725\n1623 44013\n4207 37713\n3711 5255\n12861 29436\n2963 59772\n15549 64993\n16896 55163\n10279 96772\n49714 96877\n16738 18595\n18693 19331\n952 27507\n72198 88829\n20175 25704\n11518 27042\n18571 94416\n5878 37273\n13444 92302\n19676 66643\n21304 40002\n80279 95230\n33333 69588\n16801 29574\n85322 91431\n40308 71169\n23497 89309\n96612 97748\n21728 59716\n41202 76835\n85548 91184\n335 53416\n62245 90540\n30339 67942\n40638 66135\n35694 57762\n20510 60222\n50562 61853\n9908 10051\n6427 30198\n34022 86640\n46012 78070\n19947 99734\n8105 89265\n43156 74092\n17424 98328\n33108 89645\n40726 81133\n65437 88105\n1832 23707\n14261 43154\n9760 34408\n17549 27869\n7703 66102\n83853 90930\n8176 22382\n7240 10951\n8057 18716\n15664 83221\n51525 51780\n17496 95443\n57787 97045\n55253 65055\n57590 83975\n18344 49253\n10851 98074\n41818 49460\n59398 98956\n970 75840\n45901 64697\n19022 43541\n44691 71079\n8091 33212\n7373 12043\n55157 62645\n2550 5123\n76775 87149\n47303 88617\n6977 73371\n1044 79264\n26098 88018\n8873 27218\n68360 96215\n33741 83266\n38081 49985\n42056 48658\n28220 67194\n8653 80689\n38127 38510\n12055 27071\n39516 60807\n9446 55632\n6226 69923\n24054 36060\n19603 99916\n45528 79537\n41606 79519\n1442 98353\n14346 84821\n21323 52854\n72922 73454\n32749 72908\n33376 44852\n13362 82810\n1038 86389\n58071 64085\n43933 46510\n64078 96551\n54856 76313\n11508 79920\n9402 11178\n11851 17963\n71720 99017\n17284 37173\n56764 63793\n48038 49444\n69760 80095\n42580 81593\n10026 78949\n20404 84194\n26434 76220\n7385 64297\n26769 57223\n63538 76684\n23183 47428\n50610 93524\n5454 46247\n15718 46093\n2076 57209\n67822 98489\n88569 91773\n62905 68167\n17314 93715\n78016 92911\n15725 33726\n34167 52764\n15085 50571\n50621 88012\n1050 19738\n8086 36585\n71731 98238\n41611 47472\n3789 97192\n22529 27013\n32404 53300\n3530 42485\n8657 72402\n47936 72409\n47632 89888\n50230 63904\n3562 44124\n20166 99674\n6800 58433\n26149 39454\n35829 77996\n78559 85641\n83742 92732\n85113 94038\n4747 37280\n69930 82564\n26038 39107\n20145 85718\n9059 89316\n22049 59178\n56941 81952\n24938 71174\n52746 92797\n566 14101\n25276 79178\n4658 94918\n27383 66668\n36954 75835\n29969 38898\n39883 59889\n62241 78086\n53983 97933\n92472 96499\n9608 92277\n32946 69867\n34842 81891\n18779 57754\n17848 22515\n49689 60198\n60679 96333\n56388 97810\n43019 54252\n50642 93679\n7352 43230\n25404 47649\n10495 24997\n21366 28572\n57687 83208\n67847 80454\n3440 80091\n28317 68453\n14917 21106\n50944 88143\n13688 34988\n30674 75030\n46146 60069\n37053 85677\n71243 82281\n6372 36646\n36432 44591\n61903 69180\n13892 43477\n18659 38664\n42038 91586\n24014 49323\n10905 38638\n25003 42140\n8640 52746\n75937 92957\n19367 29709\n5107 88672\n28227 83380\n16697 62468\n95260 99449\n63950 68320\n31253 82315\n41200 81102\n44824 64342\n3528 51743\n4298 90566\n11453 54022\n36700 67145\n52462 58954\n25305 26976\n21870 47324\n26225 81573\n29396 49922\n70106 96011\n30894 98932\n25730 32594\n545 58998\n31968 82599\n26896 99261\n27668 59638\n3960 92267\n8789 23388\n74013 98264\n25003 55186\n36993 88978\n10526 87443\n21706 34919\n13263 92054\n36670 45542\n21496 96012\n48525 57398\n3802 36092\n10906 27286\n11891 90486\n33735 35560\n18889 45303\n2715 34149\n64073 83919\n32721 71102\n89730 90358\n27267 88913\n5428 83901\n27837 90559\n22695 90045\n26166 99179\n9882 88586\n21641 59371\n56074 67077\n51230 95123\n45404 85840\n12248 66753\n23400 57141\n45482 73822\n63029 85924\n19999 29625\n10674 81379\n7201 18123\n12744 48810\n21036 29489\n40111 44356\n384 8456\n10791 37363\n72864 99064\n45597 54079\n19891 39333\n507 77048\n30674 57764\n21545 53090\n32329 70549\n28530 36755\n29243 32467\n6580 10497\n3384 70609\n22683 82683\n41767 68496\n7661 81242\n40771 74322\n8015 21499\n42530 47986\n47281 76473\n1506 72237\n76354 85231\n65090 96666\n27287 56827\n68856 93860\n30297 85639\n72257 93137\n30729 31326\n95221 97435\n16135 96925\n30983 78173\n1802 47399\n48650 85489\n17077 43118\n30383 39481\n41522 79588\n42187 61016\n14835 43590\n44228 83292\n40379 68257\n1861 98215\n70968 99115\n1473 40287\n63905 89276\n31710 47766\n42942 65290\n7339 63504\n32688 82625\n8625 25980\n85649 85948\n33001 73633\n46928 61291\n1569 24235\n3974 43762\n31401 64462\n21258 25394\n25786 26444\n34541 84302\n15367 63077\n55854 83882\n51171 69608\n54356 76456\n64477 92388\n55572 68714\n8531 19499\n60296 73461\n69357 94324\n2206 48274\n28630 64867\n41267 76594\n445 31169\n62936 99465\n1653 38997\n56105 76839\n9307 84121\n19541 53332\n18027 69006\n1342 88753\n26959 38467\n18291 51407\n41184 41759\n35657 98798\n48219 57855\n25861 67967\n21149 79382\n76155 76714\n8780 68258\n2652 41701\n52054 80781\n17719 96527\n37758 52020\n37868 39674\n74900 90189\n41526 43257\n31139 42867\n10215 32741\n64572 69679\n59204 87943\n1663 56473\n61705 72958\n67126 81176\n47559 83415\n18986 72478\n58358 93188\n67050 88690\n76737 76941\n50526 67020\n11210 73339\n79655 87551\n1258 86371\n12105 49729\n60718 67095\n56866 76627\n38372 67784\n39404 56827\n50558 69853\n14126 28805\n34627 82052\n58945 68018\n12670 59144\n51005 81469\n48967 76062\n1320 69735\n80279 91722\n17770 87995\n71935 79760\n42100 73496\n32521 41435\n16152 62596\n11447 98316\n16994 60946\n32797 72491\n71970 94781\n7650 14244\n35712 38376\n28113 93684\n52884 99010\n22877 28481\n39421 48293\n36591 43381\n26216 91164\n40524 51323\n30360 53809\n7773 86975\n57117 92424\n49486 71239\n37166 84832\n39052 55763\n19085 98811\n17055 49784\n6840 84482\n27101 72372\n58027 92630\n5762 50294\n26227 59374\n25313 99678\n4134 68536\n2345 8019\n2064 4209\n57571 95792\n64895 67287\n28936 49439\n17692 96627\n55624 83899\n78929 79710\n50822 54618\n81845 88861\n15651 87241\n2177 19577\n5201 90297\n1068 45071\n35508 50853\n11839 65405\n41948 68745\n3538 11459\n29555 39603\n12776 75860\n200 26486\n47148 81284\n3321 40028\n51929 67351\n23197 88829\n42666 68011\n4357 83776\n42959 97745\n19165 46080\n3324 23688\n41687 92328\n60492 75052\n31130 31974\n39045 41029\n55954 86340\n12509 75267\n1926 42986\n8394 53129\n25673 61684\n67098 77222\n39404 40419\n15945 94073\n6044 31760\n44324 81057\n13651 18229\n54 72379\n64187 92774\n15786 88746\n32529 51818\n28400 51876\n34064 83209\n30150 90538\n38751 52040\n36271 46200\n39703 58549\n8115 36198\n1199 50725\n12884 79337\n35030 62410\n23227 55981\n8503 95159\n68370 99129\n25068 75596\n80082 81325\n1393 46617\n37565 88101\n20162 65920\n30859 35991\n21981 62433\n41930 83110\n42769 47054\n61144 84908\n22072 73545\n9275 43873\n23091 78076\n41362 87654\n21484 48709\n63521 93368\n34399 83178\n49415 49577\n16698 92496\n30584 80187\n30814 70024\n78812 79596\n28226 90636\n42014 43804\n18041 35449\n36865 77546\n566 64703\n38997 70446\n44452 70381\n28591 48096\n14987 28898\n21534 76522\n3601 94449\n72447 89579\n8850 53482\n44092 88154\n3046 6416\n38004 46924\n12437 81771\n59344 95803\n29209 86323\n28564 49525\n37076 61163\n12193 36918\n27623 96851\n9957 94734\n41795 78546\n26654 51130\n17920 51626\n38645 95968\n74237 98675\n10356 36844\n52579 55324\n23464 31894\n50447 87791\n53182 69912\n27761 35717\n25135 62334\n79677 98595\n54849 89250\n48329 58853\n6441 75302\n85329 85797\n5607 16547\n13841 46873\n2281 62388\n47054 84894\n10379 60711\n62496 77929\n91165 96965\n65483 90838\n42440 96112\n77851 81763\n90517 96405\n53889 88993\n89257 93326\n76393 99419\n7663 28062\n64278 66935\n64319 76548\n43326 88982\n12901 36165\n79701 87776\n97011 98691\n3714 20981\n32532 75608\n74905 91937\n67973 97797\n34203 73954\n15015 58742\n15993 31778\n90244 93414\n5016 56764\n57440 91300\n60516 65670\n20445 97408\n50510 67478\n52292 95137\n16561 51671\n11451 90116\n6811 67889\n44643 78923\n49794 76451\n58755 59421\n57891 70333\n27123 76971\n27927 80678\n26504 88639\n60936 88554\n12950 72587\n32277 55888\n41207 54918\n2836 79672\n4188 43410\n4513 85293\n67802 70745\n9552 98140\n1047 62569\n4979 84861\n25289 90730\n19522 76088\n63998 66304\n7810 28726\n5824 65919\n24175 93151\n55727 96684\n47979 69302\n68311 81617\n45137 89949\n76709 82647\n30155 42649\n51535 89324\n2448 54607\n61382 85917\n40954 57708\n44752 64745\n4364 28903\n70376 95888\n27942 55612\n48570 52146\n9075 26749\n19163 72067\n16548 30652\n4695 87164\n13095 96539\n12019 17535\n7962 86493\n50801 87904\n83342 93990\n31154 90821\n23826 45856\n50247 76846\n60287 76985\n26759 27753\n33284 60687\n40562 55002\n78822 83864\n18161 28003\n62647 69981\n22052 76870\n50287 55293\n3954 39859\n23521 49818\n54315 81195\n48662 79740\n46525 93877\n17717 41572\n68677 78303\n31476 38496\n30445 36132\n33810 50117\n76036 90962\n45929 77733\n29480 68162\n60040 64617\n43303 63854\n5413 42178\n75583 99540\n43471 47715\n21349 95524\n11310 63077\n28773 79779\n27999 36100\n56395 87464\n21660 89727\n68600 79006\n12939 62139\n47177 53958\n74477 85413\n6342 81211\n9363 73922\n30838 44064\n44625 67391\n19499 36514\n10705 42763\n2068 18239\n49420 66864\n23154 64905\n53821 94245\n13413 23061\n59223 92141\n41908 44625\n991 54209\n40188 83752\n42657 92767\n9177 24199\n15867 56092\n15341 76675\n11953 63303\n35308 80540\n23486 43163\n45815 63901\n18740 90012\n24759 33191\n34269 43022\n10796 26010\n5765 90185\n40192 93911\n14978 84574\n23913 55083\n34695 78757\n44126 85969\n32623 81866\n40162 89647\n64729 80218\n34023 83036\n22857 45880\n13388 15637\n4983 41277\n25719 77616\n4939 31697\n46357 62622\n86418 98216\n84570 89326\n8537 43818\n18494 53310\n23121 91108\n3198 59392\n45562 94354\n61110 76711\n61989 92333\n44812 71968\n53533 61430\n32231 44655\n40502 57284\n3768 57296\n53610 93807\n5579 18459\n44030 74730\n2667 34798\n48965 62109\n76365 96733\n14070 56383\n49983 80741\n45828 78294\n40578 71226\n14877 45168\n42398 60776\n7572 27246\n34971 72943\n28700 76780\n54801 56468\n67356 92226\n215 77502\n6097 42328\n13683 53462\n37228 66582\n27102 63112\n43861 62669\n39636 60281\n13443 22489\n32338 44783\n36118 52300\n38726 85689\n17330 54920\n20611 24519\n33230 52670\n16160 66204\n11450 17358\n25299 55381\n55110 90158\n21899 82586\n14892 21514\n77549 83384\n33402 90844\n23527 72904\n38159 81892\n46015 66690\n16340 73175\n23570 80167\n38108 76910\n13540 49518\n75211 77520\n60965 75491\n26468 90555\n56459 93133\n5739 98763\n84212 94965\n2490 64077\n12785 36348\n43711 54205\n21530 96383\n42081 46725\n75705 91941\n92452 99763\n18514 71745\n16855 82199\n40030 57877\n74696 90308\n139 876\n19566 78162\n61987 83512\n42998 88594\n41077 73750\n35507 47155\n46050 57597\n973 22917\n6585 51787\n26656 79607\n45987 58294\n18544 90484\n46676 66694\n49807 96954\n42457 78693\n6852 56181\n9739 90464\n65837 85732\n36516 44973\n49060 89913\n31741 74202\n38381 87491\n847 36865\n31905 35776\n69758 74212\n32784 70868\n13247 68492\n16742 53391\n19082 95155\n8571 12426\n6245 90544\n13529 16164\n16119 24392\n6121 17321\n48169 48391\n23492 95088\n1499 29511\n24205 42875\n10087 55876\n1802 63490\n17156 55682\n260 79768\n14968 91247\n25388 40430\n961 53024\n45820 57456\n27408 47484\n68586 76284\n24773 58241\n54928 91034\n34633 81525\n92661 94700\n27001 43212\n36815 73536\n53659 95718\n30543 50610\n33517 78575\n690 3807\n18728 49060\n15346 18226\n3111 80216\n18633 79366\n19388 32768\n4617 8512\n67436 91370\n5344 27233\n541 90419\n66227 73197\n18704 61033\n49380 71314\n49220 85861\n48799 93110\n24714 85927\n30232 38476\n62021 67295\n7310 28969\n41997 55441\n63817 99527\n39141 46928\n4927 62850\n20834 74110\n26140 47292\n12173 29120\n37303 60714\n4466 35399\n79143 93735\n18560 59894\n3769 12687\n48061 99690\n25954 83740\n96899 99415\n55740 86466\n41375 50354\n37620 57944\n52341 82882\n30357 37625\n46045 86944\n25106 65268\n2418 4458\n41576 48254\n18023 56647\n5934 8976\n34321 41889\n17314 40378\n1421 98044\n25810 50733\n37882 49420\n20347 49245\n21123 72885\n27367 55509\n23441 72547\n5281 61225\n6170 22664\n917 41165\n11812 55008\n76176 85389\n46557 88314\n32066 50547\n24799 94603\n21948 24562\n49957 67179\n19047 22804\n9735 71803\n42136 73982\n48079 75580\n7340 62157\n24103 96027\n61231 94090\n19833 97312\n34278 47559\n15349 47744\n21071 32053\n14005 60252\n15055 62843\n46620 75327\n76527 85786\n28409 53939\n15445 92693\n52400 65581\n57039 90099\n34624 65488\n13328 72720\n77584 80130\n9232 93504\n53005 86282\n68153 74476\n25782 60014\n703 56513\n93163 96780\n46093 91464\n35836 55532\n90599 91026\n35363 75351\n25975 36297\n25550 55973\n20361 59060\n3807 77625\n44192 93703\n3841 85104\n14543 79965\n17684 32112\n28001 95545\n6826 82662\n9076 81135\n89528 91417\n4634 5087\n6224 53146\n20088 47994\n69348 94917\n17629 95192\n1471 75978\n19016 58051\n11964 78154\n35345 89517\n14875 23158\n28866 50361\n30080 38660\n17771 20014\n4436 12854\n55359 96838\n15482 69797\n11327 30282\n7104 36940\n62841 90652\n10480 75090\n2682 31884\n37243 74435\n4246 98990\n4771 89681\n29485 38663\n61302 86617\n56654 84420\n3316 95619\n22233 80417\n2907 26499\n14560 49931\n51832 75403\n15352 40227\n4089 95372\n45925 93887\n38142 44740\n24896 81348\n52464 86052\n67866 89875\n25404 44431\n17491 31044\n55165 73039\n68465 81590\n60983 67511\n51794 79776\n32364 33266\n50259 71590\n5076 94093\n38539 99326\n27496 35502\n5205 9981\n17196 40463\n68692 74863\n21392 41842\n2521 22263\n23316 24994\n39243 45906\n25828 32274\n10983 52050\n32328 86385\n69099 81142\n52618 54740\n9157 41861\n5008 43116\n75995 96958\n50654 67753\n32868 93956\n40884 49140\n8984 84581\n10055 89070\n6410 31434\n31237 58263\n17846 98510\n58889 85959\n32417 33390\n5094 65509\n380 23731\n32808 47074\n31717 97692\n21742 43873\n72930 80201\n55470 72467\n62147 76897\n6645 50894\n10506 65899\n14391 58576\n61022 99234\n14667 98140\n60474 83863\n58494 77166\n82725 86585\n32442 87187\n1154 92578\n8121 95073\n13027 64014\n32685 53344\n8112 80979\n22453 84723\n3376 14110\n16594 85785\n81680 87980\n23452 42283\n5301 57101\n7550 63827\n44717 78244\n10365 79469\n59311 90931\n50480 83866\n15328 25128\n45937 77017\n25005 47084\n84016 91142\n51948 86183\n26964 65042\n13261 15549\n34613 95329\n25197 86097\n48507 76398\n11879 23671\n11371 50806\n9582 98491\n12316 71529\n9415 43295\n19507 19582\n32809 44399\n20489 64560\n1807 70869\n16572 66815\n52028 53034\n30043 75938\n32656 84997\n69513 88040\n17207 34085\n45070 83830\n40917 95921\n46536 86600\n58420 69348\n1579 31311\n29838 40535\n14036 86803\n68592 80717\n21335 80267\n14962 70507\n34104 81149\n50812 50876\n6312 42775\n25687 87506\n42685 50811\n60554 83980\n83123 96391\n74303 93255\n43934 81333\n22251 78824\n21325 37924\n2195 6350\n67487 70746\n3690 47603\n48924 90045\n18630 75719\n64035 66151\n1950 59331\n14550 93601\n19879 97752\n20004 58523\n47984 95831\n6915 21208\n72941 91654\n15348 45294\n17682 20697\n78084 85641\n45782 97323\n73106 77516\n20044 35724\n12567 59612\n19590 59308\n7109 28387\n8198 30507\n32127 74953\n27853 37641\n49171 68053\n20400 76781\n47093 61209\n4338 93637\n66300 92824\n43143 52880\n92769 96110\n72685 82343\n9108 17065\n32439 65120\n18608 68211\n39416 46820\n3636 44119\n23368 94082\n60215 95015\n41589 57803\n41965 56869\n32022 42197\n84886 89230\n49193 58644\n53863 78985\n33759 49815\n32331 87510\n58478 59092\n26155 73680\n24721 37569\n9662 73020\n16874 21313\n8168 47293\n42964 56642\n82562 94787\n22989 89899\n45324 53852\n17024 61782\n28825 36171\n3074 84776\n24636 88851\n21913 69089\n4295 20553\n80407 86746\n73748 81502\n53070 76706\n32152 40020\n13302 20294\n829 29089\n13510 88215\n30275 75024\n17728 23928\n118 55890\n39037 53152\n20274 83936\n53971 90511\n32251 94682\n39526 66749\n1740 73688\n39428 41034\n36010 52256\n20034 35379\n32574 52983\n82642 98453\n16497 23835\n87461 90761\n10486 30371\n3656 98520\n75879 97804\n8087 64978\n42891 97145\n5186 29537\n37299 90824\n17101 24647\n3777 87903\n8812 48417\n31260 65979\n68148 93166\n76411 98943\n31738 89271\n11684 21718\n12169 66886\n46666 94708\n41707 84775\n82136 84389\n30530 52944\n1457 83773\n8164 47933\n19448 49299\n23490 29468\n37435 64063\n41480 58174\n49994 88220\n12128 96467\n48681 86081\n31114 62607\n51114 76767\n34093 91855\n62299 67729\n2707 10991\n45759 47491\n83228 94486\n148 44456\n2696 56380\n6615 83648\n35430 67202\n1400 95861\n48405 62374\n37987 48973\n11731 82707\n52488 54144\n36961 50649\n4114 22240\n16711 68438\n43691 76444\n57649 66821\n6604 86943\n6484 9068\n448 46423\n1210 2932\n54566 89921\n64281 91300\n4105 6679\n20766 77249\n39815 85705\n9258 74736\n35356 51323\n47984 84943\n26882 76203\n23448 60197\n69996 76977\n26018 97633\n58 96979\n32829 43837\n43856 63140\n61830 77289\n60984 96177\n31525 60252\n28108 75906\n87263 97702\n37787 89150\n67249 70539\n80837 90173\n22860 66547\n21584 25313\n37724 84181\n35070 66803\n21497 76946\n26436 34463\n30427 44062\n88050 98605\n23922 98951\n11847 68841\n82347 97803\n19253 65322\n20725 81356\n25329 69955\n36487 93594\n29244 43892\n6229 89302\n16026 20826\n59153 78255\n52237 84057\n7783 88479\n4738 64288\n39934 61493\n14670 91201\n38746 48271\n32457 84766\n36716 49598\n4856 42615\n22704 62702\n4871 97601\n29269 33912\n16512 78380\n26887 33147\n7496 34768\n48525 96608\n10118 25595\n19647 24161\n70925 85109\n6852 58230\n16832 90070\n35569 45930\n2601 54776\n24863 84289\n35860 54824\n21743 81836\n43147 51966\n24050 49800\n86489 89658\n5136 30366\n47440 93959\n48294 62316\n16439 68403\n2316 19276\n25259 51425\n43762 87288\n60190 90352\n48133 71318\n59959 80036\n29114 32630\n71995 76813\n86342 97872\n38034 71298\n6815 51179\n29370 99274\n17944 85166\n47200 81069\n9349 16424\n23843 25901\n43088 49175\n903 39722\n36564 51553\n729 72632\n70895 83701\n32135 37830\n93022 94784\n28707 83021\n13429 89718\n64060 70728\n14802 48103\n8113 22607\n4794 34605\n27214 44101\n21993 51242\n17181 38175\n48869 80832\n35257 94800\n53535 94581\n65274 99386\n32644 67024\n17513 22788\n64314 70966\n63890 67991\n24308 25921\n23462 85043\n10973 32048\n34112 57592\n8567 61361\n55747 57418\n4316 75916\n13117 78600\n64078 86937\n69628 75067\n363 42683\n16329 92991\n7982 41926\n58837 68341\n19445 76921\n3176 43318\n38927 66586\n13097 66044\n4066 17603\n39438 84041\n44972 58775\n40208 75979\n26814 64961\n35940 65688\n20192 84583\n47474 77231\n4979 28281\n51898 59362\n7843 96660\n81194 84895\n71799 75979\n13953 47332\n68208 90875\n62287 76730\n80230 80760\n30158 55004\n10053 96962\n12638 98566\n889 11333\n18718 46286\n55000 91391\n27483 79014\n65565 97478\n11588 96165\n39921 90494\n46479 87069\n14670 27251\n10813 78016\n964 74937\n52754 82998\n45837 72567\n54421 98240\n4139 59973\n30486 51996\n22614 81976\n80956 88319\n39656 90135\n66561 85891\n64677 88124\n10857 88311\n53419 85997\n84260 99862\n35369 88951\n55755 87848\n45495 64541\n73801 97242\n36316 87293\n63234 73162\n48642 61461\n24062 29290\n43809 96754\n24671 42511\n853 57279\n10095 42245\n64888 94824\n39774 44458\n13860 55007\n26305 61635\n58254 79531\n32590 78980\n54762 96627\n1255 73535\n4262 96123\n53099 71505\n16325 37285\n37046 93225\n87031 99574\n47640 90454\n37548 44709\n10334 92003\n52542 94388\n22745 80934\n53138 54687\n55407 90496\n38285 78398\n35868 81322\n21960 99643\n23345 85908\n52800 55686\n16040 66685\n33234 88531\n33821 54654\n30423 96204\n11434 67430\n4014 80826\n13245 61758\n44547 79649\n3367 23947\n52890 83425\n16511 58235\n32422 80174\n65703 65802\n89940 98994\n34235 61731\n31706 46161\n5240 7519\n2883 69625\n302 40422\n49500 52551\n16403 98870\n41116 72243\n24922 35396\n85110 90091\n7033 86607\n13717 53589\n41913 42591\n55800 96033\n8062 34654\n70334 77777\n84960 89072\n25268 31353\n26727 48918\n6963 51536\n15218 16897\n64869 90699\n7663 79592\n28159 95371\n9578 18079\n10646 77967\n40576 66762\n77220 88832\n63906 79494\n19651 35986\n20477 78069\n14753 35774\n34276 58165\n74397 74842\n12802 82597\n43283 82495\n14275 87825\n77350 89612\n62681 65835\n30933 71586\n48637 65457\n25260 64760\n19555 84414\n49958 81053\n21864 97991\n9347 11050\n81959 87683\n81641 92314\n26919 84882\n2423 98913\n24201 47771\n18853 86918\n58505 69981\n67096 68970\n9834 57812\n62339 86711\n26266 80291\n30057 44011\n6731 44999\n17280 24654\n57859 69041\n22205 89812\n28428 95063\n46874 55344\n94822 96545\n2871 70937\n56315 87855\n28952 33874\n43292 78604\n30967 78750\n51416 63283\n13254 34127\n4116 17914\n86058 93718\n29535 38578\n22701 75097\n60563 89909\n21001 46009\n9049 88392\n29178 91165\n2718 45877\n40753 75748\n51935 83182\n81430 93137\n81799 84832\n4774 11336\n7808 36102\n42523 53701\n39872 68594\n3492 91418\n38768 41321\n20842 73491\n33557 53259\n15434 53112\n45103 93047\n37057 73166\n78527 82177\n25244 79730\n57879 70306\n58359 67768\n27598 86234\n69550 92292\n34993 70406\n13269 86465\n64287 96638\n68972 88947\n33253 37820\n10978 35074\n11603 68844\n32995 71490\n3788 15002\n21387 25526\n2803 53324\n11891 73119\n79404 91379\n29722 42198\n5477 76940\n30406 63801\n49411 56054\n31028 83251\n12921 45293\n1480 83493\n43932 81912\n60100 88553\n80382 82112\n32852 40196\n612 2906\n35691 72169\n31143 87404\n7718 40212\n56932 82254\n34674 95122\n54470 76728\n648 99510\n15520 48269\n19691 82563\n26669 36696\n33642 83304\n45813 98373\n16834 35228\n5085 64368\n52835 85484\n16843 25504\n5127 68184\n8733 33237\n21227 64074\n15408 81665\n60699 85477\n20642 38341\n66374 69599\n5472 47211\n44486 76343\n3741 11029\n74074 80955\n77930 95911\n3296 66539\n30684 59413\n48792 68569\n4457 76304\n24655 38660\n13484 92514\n50545 86138\n3354 51279\n22162 46045\n9706 97764\n38917 90637\n44761 49490\n54923 71608\n23717 93629\n6654 45547\n10262 21389\n13990 22017\n86100 90261\n38259 87424\n66022 91528\n33029 52658\n33711 45579\n67474 79253\n7944 31065\n74298 86219\n19962 28715\n52884 73807\n5699 71613\n28410 39792\n5793 84739\n28356 91483\n22316 90904\n6837 19457\n29798 36644\n65873 67864\n39378 95412\n53541 68916\n987 38801\n24943 38417\n34346 72888\n28040 74461\n19963 39135\n16713 67385\n29701 96120\n46118 93142\n40622 86474\n32042 70052\n38547 72927\n12771 93587\n72911 87541\n23477 78592\n45495 74910\n6602 26795\n25775 29949\n21175 78565\n36965 95405\n36966 83237\n13340 67021\n48289 87950\n19458 60321\n49568 67316\n3790 65570\n50102 60869\n19352 19641\n18947 85895\n64510 67682\n3538 97152\n5570 63039\n84010 91902\n1764 35658\n37287 75764\n15873 70691\n45477 73893\n18801 99149\n49685 63345\n33557 46763\n21005 61303\n63259 95314\n9071 25803\n32487 87119\n37756 71137\n34930 46034\n53367 63607\n5323 51442\n30258 65385\n23676 82086\n79440 80755\n44467 75198\n29208 39154\n35789 94833\n11463 35432\n17786 39778\n25500 98565\n10222 57198\n10621 73173\n59563 96807\n37186 76141\n38050 62629\n16258 57928\n47571 97727\n45597 57511\n61118 79888\n48566 56900\n52809 99641\n33852 38441\n17015 29155\n31390 39323\n47080 57665\n6004 23240\n55201 61942\n59595 73522\n47570 54111\n27375 99005\n48711 84501\n5307 19701\n746 97459\n10548 25060\n69651 84975\n7005 54386\n13930 34236\n45411 97556\n23709 75319\n16691 32131\n53335 92466\n17198 20294\n70635 71831\n42172 63764\n45697 85158\n27233 48654\n19542 93607\n738 15457\n55350 96516\n4182 12549\n15956 79651\n31538 75406\n21368 78112\n87780 88345\n63740 85657\n52496 93741\n16997 21948\n48485 97323\n70528 98613\n10104 14871\n24766 46765\n10192 19612\n7368 73258\n42314 63980\n67615 93581\n23464 65961\n10025 33453\n46909 92613\n32552 93454\n41284 63828\n43077 45886\n46991 85355\n2209 82812\n15119 81155\n92818 97993\n28120 50433\n13955 46062\n66413 72609\n64005 89144\n69061 76803\n55187 83406\n15376 57484\n1855 6923\n8039 15856\n23583 79074\n35487 59703\n75731 76197\n1291 48823\n85845 99916\n46655 92255\n11491 62903\n50221 82461\n85111 89905\n16034 90420\n6298 58390\n14471 48526\n18790 87324\n92200 92590\n38349 93151\n21662 31853\n43388 80036\n30333 64656\n61631 73140\n37838 52973\n3650 68168\n75242 93414\n34144 53089\n46662 85213\n11472 21310\n43595 95098\n30796 67001\n66180 83926\n98923 99254\n51390 55698\n40238 81252\n71251 81422\n2113 28863\n51013 84770\n23116 97934\n66161 75614\n41749 56144\n72755 97974\n83600 83770\n50971 71733\n21472 24197\n8286 94576\n14918 33820\n31697 32689\n9713 67711\n39644 81883\n44295 76001\n28653 67016\n68318 92651\n2062 37899\n41511 67378\n42091 56943\n25000 43355\n63750 79292\n32624 45843\n61241 96670\n80513 91079\n23408 28598\n16483 99051\n70448 88932\n2894 35763\n36377 46430\n25948 35363\n46825 92120\n32854 97926\n21453 61049\n32236 88810\n6080 15178\n16657 20909\n69544 82645\n32374 55245\n8699 45736\n64629 77705\n16710 87130\n29900 40590\n44078 89491\n8984 25088\n45178 94274\n47608 62628\n17192 40210\n41655 48776\n3330 67626\n39248 83374\n56137 83483\n38695 72356\n62740 73478\n1055 44613\n31396 98582\n30118 82155\n73538 79620\n24758 56003\n13115 48810\n22398 99460\n19203 60427\n52848 56819\n7636 73036\n33326 63636\n25484 67227\n4645 99475\n7863 46264\n41991 62174\n6643 73786\n88077 97000\n6048 42976\n35512 40983\n19255 66075\n4213 81826\n75794 87570\n12997 58592\n24504 52564\n1279 92678\n55382 98928\n16578 78290\n12598 52782\n27016 43197\n15203 79995\n28159 78972\n81444 90498\n42966 66134\n32359 50878\n2680 57592\n8815 95345\n5526 86401\n37717 58125\n70033 92755\n5399 63505\n17602 42888\n29583 80382\n40905 63799\n2481 88036\n4174 80127\n7615 51724\n21733 76001\n28875 35545\n69556 71258\n2060 87526\n35998 96311\n54383 89563\n40579 68790\n4887 64650\n26149 73379\n26595 61576\n18135 89961\n15735 98773\n5364 57804\n56783 68223\n30371 63509\n55545 69407\n46236 97696\n5145 42043\n383 47593\n73890 99520\n42647 93329\n28088 43174\n10580 53692\n57386 90852\n9679 18945\n51757 98372\n24089 80536\n34770 42938\n2607 78896\n30737 58842\n24525 24762\n36173 65501\n29737 71217\n49918 57605\n59189 82193\n58908 94161\n30173 83074\n64896 82016\n64753 66080\n6780 62945\n8538 37684\n55647 92005\n57531 70160\n54823 94737\n11383 45701\n54862 57059\n43855 70182\n71372 75036\n13188 20855\n50522 51120\n33806 92070\n9358 62582\n64987 79666\n20565 46323\n52790 92874\n52044 77067\n56646 79277\n5506 18949\n55201 98091\n21462 62200\n25808 50311\n13653 37248\n54551 86998\n20193 63691\n11136 56101\n31551 90704\n195 74463\n54557 63028\n44417 98019\n2795 97414\n68740 91751\n40429 62084\n56964 58940\n64189 92121\n20209 52917\n4058 19462\n36107 95758\n10527 70655\n29069 71496\n17799 46997\n58097 89851\n3392 26744\n21090 57864\n8171 8248\n12607 12673\n76354 78688\n10446 84489\n64260 86682\n74599 96039\n27023 45061\n50000 70595\n32806 41564\n13326 65499\n3764 28752\n34865 94706\n26262 56423\n22300 51650\n25993 60194\n402 22254\n17519 55705\n12808 74873\n22745 78509\n41341 72212\n10277 18703\n19103 50032\n14068 81944\n68653 74239\n4950 93839\n46695 95047\n12066 56783\n45071 79293\n53546 73576\n20726 54957\n11562 19707\n68806 91601\n10221 77005\n91947 95100\n66577 74018\n74045 95207\n2515 99636\n44024 65945\n46628 73933\n9669 75301\n12443 62697\n40708 59041\n29648 70945\n31273 35652\n62972 91600\n37618 98063\n7840 57514\n5676 84456\n15124 46895\n11373 95167\n29815 88241\n60563 64175\n22964 67494\n33416 71977\n27813 69655\n3180 88100\n7979 30309\n33755 67234\n57489 68787\n19326 88378\n24232 62530\n57850 91259\n12644 29177\n5745 12538\n18096 87907\n17204 26946\n10919 73282\n14881 52735\n15090 15174\n8010 9481\n16113 52519\n4203 27020\n73534 78204\n2142 59310\n5159 29215\n35358 57539\n71382 97550\n44733 71634\n9894 38612\n31136 85814\n7149 69231\n61901 93480\n54217 67182\n13601 70713\n3605 67922\n9872 99280\n1537 68070\n34318 91668\n16767 62751\n27546 45616\n41583 43059\n14927 98699\n19656 71422\n23608 30838\n71760 83547\n3038 76816\n28850 64815\n2272 76109\n14001 53124\n42794 90151\n15648 23686\n33880 72326\n71065 93249\n10407 84416\n29890 53778\n43161 49865\n46612 68589\n43145 73131\n62889 81663\n42320 88904\n17810 71339\n40382 73759\n29125 92338\n12281 32305\n8415 70505\n9629 75292\n33163 94709\n13632 15772\n27485 75743\n47400 95764\n52501 92689\n33391 85564\n72544 73568\n71288 90380\n3086 20952\n11359 75598\n2569 53322\n10984 83434\n2925 34536\n9388 63992\n22949 81086\n5192 51293\n9467 62207\n40006 57752\n57279 89278\n3771 5408\n87648 92611\n69915 87424\n44327 82414\n31768 45854\n19734 68006\n35127 96748\n39607 50775\n49455 53562\n46522 96707\n9571 31866\n82889 95960\n54458 70030\n18984 55119\n51491 59437\n6584 35266\n30058 42154\n72780 85868\n8875 73829\n29289 30293\n79557 91746\n48064 76188\n44476 87765\n8678 14666\n17917 96149\n60602 90220\n42461 51898\n17363 18572\n26549 28816\n24331 53889\n44981 77683\n31560 60311\n34561 88386\n3036 51853\n85255 91942\n22325 85505\n25865 70223\n28546 67460\n32044 71990\n47899 67521\n38924 45400\n39769 83393\n24562 53883\n2780 29634\n13730 55047\n18701 72070\n12218 70714\n12159 87345\n71104 81654\n88929 99988\n14246 14691\n6216 71227\n16218 91606\n72558 89296\n71216 83323\n20564 88227\n41697 52676\n48928 73019\n62431 73340\n13952 94158\n72040 88318\n26337 93760\n29803 87100\n59539 69370\n15715 70709\n24143 87877\n34836 69167\n1867 32138\n24551 83425\n43001 88087\n20894 29182\n48446 75489\n42394 55313\n74360 98100\n39053 65228\n54908 85638\n12443 88458\n2792 50095\n54898 65385\n67121 90450\n32004 42320\n67374 80823\n60727 89217\n18960 39488\n12870 63933\n16655 52185\n32435 97829\n53481 74657\n31856 45275\n83254 94893\n1271 5015\n72413 94392\n2947 60751\n1022 84371\n19136 22645\n16923 85856\n2198 12472\n39183 79065\n40307 76524\n16911 77882\n28710 65046\n67028 78317\n5098 31222\n5226 41961\n11704 65305\n49707 86016\n37588 72959\n76826 97257\n56401 65830\n65443 93817\n65057 77238\n3276 29487\n46469 53628\n59113 89952\n69939 80264\n17718 36016\n8963 91879\n60538 86421\n25823 66339\n29415 61184\n32042 76273\n42269 45967\n48151 78726\n36541 56202\n5047 49988\n68138 70694\n26713 54761\n49105 49750\n28336 75011\n17930 76575\n22506 91375\n73390 79872\n17258 59194\n57678 67925\n22338 31744\n36629 95874\n29853 96973\n1267 96003\n8301 43905\n298 46432\n14751 15824\n5243 51042\n11699 50723\n2617 38054\n63263 94075\n2272 2345\n52123 89750\n51002 99320\n13271 82376\n72059 93060\n22267 95590\n33480 98631\n45651 90347\n51044 61702\n22877 82571\n18421 92355\n2478 56082\n35392 54107\n37595 80386\n35629 92718\n42720 82063\n12878 83207\n19335 34761\n4612 12944\n70396 95480\n22349 87375\n56937 84654\n62947 98863\n45445 48291\n16646 63784\n37141 53421\n50276 56893\n9670 51390\n57874 72986\n14477 40000\n52352 96091\n7253 13229\n58316 77583\n63232 71591\n22943 78467\n9594 67156\n5852 32439\n35056 76731\n21791 29706\n42645 76464\n4627 21971\n25132 84558\n42665 98437\n16244 54106\n24735 60307\n1092 19300\n7380 12409\n67262 92986\n19308 96752\n59037 95586\n7974 15019\n20049 46803\n62981 92361\n41295 70726\n51465 55357\n91124 97643\n25383 95653\n70639 72824\n70070 75147\n49969 96429\n35053 41396\n60833 70608\n9710 86101\n39837 50734\n39544 76136\n63755 68292\n44971 68962\n71533 88356\n5274 25715\n5957 39053\n9643 35119\n67193 76901\n50895 81240\n14552 49401\n73868 85604\n47863 70250\n48612 76741\n33866 39772\n77669 87811\n73972 75427\n19161 92821\n20343 20829\n22615 51191\n24214 70279\n19841 74183\n73033 95339\n20669 89139\n30023 49766\n3609 79890\n7412 46845\n54584 70991\n16815 51057\n2060 74207\n91319 91587\n22747 23565\n37611 45503\n74454 78309\n17194 69947\n60670 72338\n20595 48588\n56101 76544\n85965 93068\n45720 45982\n4223 30706\n31448 46038\n2883 26805\n31770 50518\n60078 91214\n23411 96379\n53850 95950\n63130 86429\n56941 75553\n42950 79678\n45007 92966\n26239 57240\n54005 89059\n29033 85942\n20509 31305\n34971 88424\n24946 96413\n46483 46721\n67775 91982\n7794 31143\n8986 67205\n72919 92374\n5067 57739\n3205 84116\n31926 58293\n95448 97229\n55252 89841\n46820 69582\n72999 74480\n67975 91471\n5947 70206\n39432 98406\n49674 89723\n19894 54578\n75880 81206\n1348 78300\n37423 90018\n16308 45468\n13177 20577\n17488 72363\n1902 73392\n46006 74845\n17192 43106\n20123 79269\n56798 68139\n1865 99748\n16946 98267\n38427 60152\n45037 48320\n38556 95335\n10707 79960\n8518 51993\n42549 79078\n28365 75499\n6416 55662\n6211 45137\n61349 84251\n21866 87864\n17580 92993\n8502 52895\n28155 94123\n15668 64685\n27822 97682\n33983 37762\n11401 80127\n2281 19390\n24256 38028\n76008 85322\n95114 97976\n6579 7728\n7935 96299\n34901 36096\n52344 75906\n21697 90624\n10676 96022\n23896 49572\n28090 72912\n55632 81752\n37665 99288\n46229 87857\n21955 69751\n57814 78639\n84906 89923\n12049 95625\n17545 36123\n7066 21304\n9268 40334\n10241 38717\n8640 40192\n12305 74058\n871 13240\n32540 33415\n57271 75554\n11543 69384\n1225 40718\n41944 54506\n24643 55661\n68986 77208\n11001 50674\n36741 79148\n49396 93558\n21714 96905\n12114 18308\n3696 35929\n28781 30331\n15390 57591\n44157 47883\n33860 95217\n44735 98210\n19080 91634\n19722 70582\n7410 33403\n34551 61844\n10514 77941\n5522 59062\n12959 35932\n47901 67190\n19455 48207\n32946 53918\n12274 95729\n81683 97289\n46655 58525\n54649 59219\n31554 40404\n36084 81593\n38091 93185\n13174 94715\n15690 81621\n55161 78383\n3287 18569\n35777 91256\n34779 77118\n2570 8682\n2399 39181\n21636 68956\n6639 84461\n4383 85469\n62089 99007\n25291 46241\n1767 82299\n2088 51201\n8892 45233\n35171 78885\n24345 35420\n15916 80819\n66176 93475\n33580 62148\n63429 90004\n56281 71997\n17030 47272\n4520 11485\n3290 87626\n13604 40325\n47122 65367\n9484 83218\n45395 85291\n85696 91859\n16014 45753\n11015 45954\n62351 75895\n6673 47094\n5289 17727\n38617 39663\n23867 48786\n8530 11807\n1702 41442\n30622 87428\n12021 88015\n7042 29422\n13378 79349\n4864 56235\n63349 84665\n13956 94257\n6990 39477\n29754 89947\n23540 64392\n13222 86237\n78761 99192\n9821 56591\n48814 90229\n28631 67446\n1622 34384\n16084 30120\n18406 39506\n35180 99315\n59127 90427\n10420 61090\n24086 44409\n56746 85692\n28597 84234\n4945 54104\n13507 48727\n18984 56773\n54464 54505\n49829 52064\n31565 63714\n8585 53822\n16328 95294\n79461 90753\n64064 72826\n3670 14102\n15314 93896\n15426 78350\n11402 45700\n48176 71173\n23994 98124\n20450 48845\n15274 51589\n45455 56484\n15455 23321\n7566 73102\n58910 94336\n44545 45882\n12168 74016\n27283 31757\n9688 87866\n3591 25902\n28179 80005\n44110 98198\n57637 85121\n67682 75823\n47758 99518\n63564 78563\n9758 60812\n18520 80135\n22755 46786\n39808 46766\n6276 38926\n63861 85163\n28388 70898\n36379 63859\n15569 91273\n57782 64152\n26328 39540\n12526 96264\n2351 74663\n35544 38799\n50890 83853\n61082 81150\n73796 74640\n15561 85115\n16535 93384\n66595 71161\n20366 24679\n53296 64712\n6322 70458\n61355 92764\n10718 47193\n50009 69872\n6495 83799\n18056 47986\n81381 95817\n51265 61423\n30554 83527\n42253 84514\n13197 99336\n356 64736\n7586 8320\n34322 38301\n49745 57181\n46795 60934\n27801 49537\n72740 99046\n26048 67366\n34375 63024\n1979 71063\n39853 92492\n44331 53945\n41086 66234\n65715 78288\n7241 38056\n35326 54655\n34876 84558\n43458 99942\n21183 35201\n28384 65980\n53275 73104\n91492 94622\n10516 83263\n5556 88847\n14835 20202\n5660 83675\n36778 80702\n34715 74382\n52278 86799\n6991 71356\n18552 58782\n31249 71574\n33635 90581\n12280 62915\n3506 91759\n29373 71105\n9438 28167\n3845 27832\n47481 55796\n41057 81383\n5106 40223\n5846 59099\n32617 91800\n58120 62794\n10257 17473\n38364 61156\n8603 91267\n10490 26242\n13145 80811\n36802 43672\n41170 56343\n12766 91323\n24869 63196\n38845 89564\n12176 82444\n32614 86308\n89653 96165\n37741 92005\n21741 34052\n15201 40097\n34213 80009\n59524 95128\n1301 84040\n79669 81307\n87276 89287\n29437 70099\n72618 98822\n35943 40133\n22141 63226\n14243 68330\n36101 56161\n35700 54330\n26833 55651\n29180 41747\n84754 84899\n43966 48479\n43744 66761\n24996 36761\n82708 99419\n45909 51088\n17546 42714\n40121 56767\n30050 44745\n17695 59757\n79543 83925\n48821 53004\n3675 11049\n50703 57365\n15164 35516\n41941 95757\n94805 96490\n62980 82852\n25991 80696\n85570 96563\n3897 19904\n32287 78637\n8847 34926\n637 92814\n46565 88308\n7729 99572\n46981 95427\n67723 93607\n13726 41036\n127 73907\n16875 34595\n3670 52138\n50983 76916\n90275 92019\n17986 91742\n1848 14324\n5612 81929\n8239 91730\n20812 27792\n4601 73278\n18317 87752\n38384 59554\n94713 95626\n65469 67906\n52981 74441\n3532 19682\n45618 61060\n1101 3208\n2553 28991\n3883 86310\n24352 38978\n21322 39143\n16599 59046\n20406 48060\n66997 96796\n19214 43641\n21960 75100\n43337 91625\n45050 50915\n26758 67367\n18840 34390\n21662 45458\n54382 62233\n42166 95199\n452 43313\n41136 96575\n3016 26182\n31370 93713\n3308 97970\n21555 95457\n59347 75016\n38503 56468\n58536 71189\n17279 84691\n78054 82896\n34176 94021\n9321 34220\n42735 97452\n2619 70645\n33907 59221\n10199 12126\n25035 28982\n36838 64021\n97330 99434\n16462 29932\n23759 94040\n4926 48736\n80659 85809\n19510 95287\n40986 86590\n5789 39145\n41675 95339\n26213 80570\n37979 42146\n19857 97338\n46252 58394\n63623 94170\n9679 55364\n34472 62889\n22181 93236\n72619 96829\n30220 55213\n14486 55747\n52850 64443\n33598 44714\n45196 55336\n42336 47760\n66360 83436\n30408 52538\n80091 92496\n1852 90730\n76075 98607\n32947 86046\n54832 89261\n66414 88091\n8113 95661\n34632 50821\n36062 63170\n82488 98128\n3115 94358\n69189 91699\n16610 65187\n54194 83298\n66567 77357\n34540 42961\n23743 60189\n38374 99228\n37764 83225\n14637 55804\n41916 46173\n39049 91152\n44277 52818\n41845 46102\n29267 46919\n56659 78536\n44346 49961\n51367 52175\n3481 98428\n28228 62906\n7164 80274\n23956 49629\n96894 98484\n17019 47399\n56809 96046\n21011 56578\n13485 32253\n9758 94347\n20872 98356\n18159 45240\n37380 45650\n71422 76300\n16031 30694\n40737 64468\n12106 92064\n63030 90088\n2733 48912\n57003 82121\n29703 57385\n19816 68513\n140 83823\n40304 56699\n31093 51607\n5575 35353\n30792 47792\n34529 56584\n83484 84246\n38042 81323\n15582 67129\n13602 35001\n24867 40520\n44983 70962\n21008 50747\n21838 78514\n2346 2578\n6348 39323\n18691 24814\n25568 90476\n23861 52661\n8466 97338\n24753 85806\n58703 70342\n5438 29079\n37677 71847\n28893 41116\n55801 61805\n14006 68246\n59152 75777\n68931 75700\n51343 91509\n36254 48649\n16338 76545\n30435 46150\n18423 95386\n2190 72929\n73970 83667\n45668 64598\n48291 53691\n50282 75484\n28776 72975\n56775 78231\n20888 82500\n18247 28138\n38013 92402\n33267 51119\n26171 43126\n30482 34207\n67402 80684\n4301 89154\n34988 66420\n63090 90188\n63185 63712\n53734 77671\n43324 58984\n30557 68133\n72862 76490\n84297 89371\n46287 84429\n76534 81182\n47499 65097\n31786 62332\n23201 34523\n41679 75078\n8419 74766\n31725 88674\n7222 35441\n13418 25186\n42690 73764\n13149 23749\n2813 82869\n40728 64084\n48608 81955\n75698 92479\n677 43933\n35083 47177\n13079 77412\n48980 83114\n41904 66747\n5002 49923\n18327 90855\n39892 59738\n67064 88755\n16560 50140\n53490 57662\n49428 59193\n15934 74044\n19176 77126\n87293 95339\n46435 80984\n21683 28812\n37584 52462\n31263 94173\n85246 94655\n42726 96963\n43532 98979\n61191 82079\n8893 84190\n14335 86785\n20900 57625\n86533 99740\n49621 91437\n21227 27176\n52280 54023\n3874 27051\n24167 51066\n25683 47117\n21147 65487\n80558 94775\n44854 46285\n16704 17474\n11380 18824\n76869 81282\n92876 96588\n64327 81493\n10357 84411\n36700 85803\n3150 4742\n46252 93019\n50370 51368\n90937 92865\n68699 99268\n13414 21465\n23658 73370\n8823 24560\n76555 93578\n65997 86934\n16677 73450\n76637 95827\n39891 59641\n30920 63982\n55007 85058\n80739 92150\n20072 53233\n67108 88278\n26267 99012\n20136 74893\n39505 80664\n30268 95785\n29406 88996\n79006 80642\n28173 46289\n51621 78912\n42136 68416\n8271 87609\n642 88901\n29298 68022\n26769 30013\n38881 98141\n22027 54685\n81278 92493\n8437 97927\n40867 41055\n51667 76860\n28682 33483\n48230 75668\n1377 4653\n77670 89004\n75259 95358\n16955 85077\n24617 69507\n54945 84940\n2799 37637\n13071 67785\n1647 88811\n47428 83342\n7996 67469\n5886 32959\n18292 44902\n6656 76946\n35396 64812\n5802 10397\n10487 54559\n22730 60508\n33977 97331\n56086 76519\n38458 94284\n20519 36224\n11161 84906\n1428 25169\n26525 90797\n2180 7730\n50630 90107\n26923 70939\n4902 41742\n28726 91188\n45803 90723\n61063 92638\n41043 94404\n33123 93078\n73909 87872\n36102 69816\n40633 82037\n34006 90377\n7040 55824\n24489 69806\n23788 61957\n50048 57819\n1325 38794\n50891 80248\n27805 29737\n7008 61274\n11224 95977\n72618 89814\n11417 42317\n52490 76949\n9914 37034\n39081 42285\n14186 15712\n40579 96981\n9116 86162\n52953 59871\n31506 73823\n26530 73864\n11981 56252\n11640 26265\n9293 20672\n22523 98379\n74637 80066\n51177 54506\n8970 36585\n32337 99146\n58949 96766\n20549 80303\n37154 46744\n537 55145\n41311 49641\n26545 50793\n53603 82890\n9872 26308\n18906 51730\n30553 93061\n1813 25678\n30575 75022\n51873 81037\n80632 91956\n29473 95613\n4047 41235\n67444 85382\n11189 92718\n5881 5885\n52098 66549\n58222 84877\n28717 68800\n15914 83753\n82886 87779\n11685 89937\n61306 77845\n29886 90645\n12491 90018\n14212 23919\n21690 58442\n11365 46869\n21111 53629\n18560 30110\n37001 60792\n17433 74437\n8119 24578\n30942 82710\n2093 90686\n12458 40242\n27036 37133\n45087 76787\n4698 88294\n25559 36322\n15583 39719\n38607 67010\n38498 80516\n17114 30867\n14235 56332\n68790 97818\n74840 92341\n27877 76497\n35468 95006\n9429 73225\n58431 77823\n14550 76302\n44383 94079\n88988 97374\n32086 71848\n40249 68533\n51459 71922\n24929 60789\n85424 91564\n73729 79345\n33845 57708\n14287 30099\n44127 62774\n11886 53509\n30659 93042\n36622 81005\n61759 81020\n42360 54468\n17623 72116\n33947 91125\n27594 75332\n67625 87467\n50656 70800\n14570 54026\n72304 81594\n76061 85229\n7072 95399\n22402 90964\n35880 54082\n19752 24207\n53380 64136\n33607 46259\n2339 14038\n15066 49210\n7879 69971\n16312 33229\n77910 80114\n9454 69676\n31106 41671\n54105 54860\n19108 27485\n38546 96516\n41686 70798\n47312 93131\n9638 79390\n70392 82803\n54592 83671\n6834 62368\n17679 78720\n4412 30208\n80893 85222\n56815 91759\n1986 20459\n51267 77549\n3875 79402\n14890 39384\n48468 79161\n3965 57294\n1153 54713\n18455 69557\n19509 63445\n14371 24780\n2416 5186\n14000 90069\n55477 68920\n26030 43481\n21842 30750\n11128 61349\n15348 83832\n34226 46941\n4123 65969\n18769 72586\n23826 30479\n33834 35417\n1292 9136\n9012 16021\n25602 35097\n13795 36979\n5966 21787\n13962 73682\n7902 66169\n41684 46627\n56685 71257\n20408 68913\n50283 60969\n16278 99644\n512 6553\n14865 28930\n5734 63961\n36851 93978\n4884 6207\n9419 20445\n39514 55078\n33588 39166\n60101 67510\n33868 95184\n45121 45332\n14627 62003\n59701 60219\n23076 43785\n36158 83619\n43247 97020\n41968 85707\n3134 98216\n74149 87908\n13719 89514\n14296 28463\n37858 38973\n43748 67674\n15159 15923\n70412 91502\n14775 17793\n4292 5426\n21576 83050\n93224 95815\n46905 93109\n55282 91148\n62362 74555\n32540 34335\n21685 80944\n30979 72169\n21449 47857\n82605 96647\n40487 76100\n79873 83151\n11033 41353\n7349 21682\n9178 11103\n27559 35741\n48199 52626\n16787 57700\n45459 93813\n13507 88647\n27431 98730\n4713 82881\n17149 59666\n8856 83323\n38433 70872\n2527 73820\n30161 50435\n52129 67002\n9898 51870\n57341 68441\n42264 72065\n37979 47239\n911 91556\n12198 60298\n50936 62882\n6863 67353\n12573 42352\n18224 93613\n6392 12594\n50718 91801\n77046 82305\n28992 58753\n24451 25619\n45015 80467\n52893 66657\n77201 91110\n467 35604\n61168 72184\n53258 81155\n41960 95437\n64082 91444\n6701 31277\n44107 44392\n78899 97906\n37 22855\n36476 86083\n5513 49593\n61737 87254\n30667 72923\n52552 88527\n41093 43699\n62975 79631\n59384 65106\n31294 79624\n15952 90294\n37938 55920\n49853 51788\n58472 81599\n13636 32878\n73511 78974\n48304 74766\n18680 70659\n18924 92027\n21062 49750\n2109 97338\n17956 40515\n25343 94386\n25341 26962\n23864 33564\n43042 83935\n20865 27981\n37125 83418\n15723 30603\n51223 69152\n15889 40298\n7834 45572\n9042 39095\n62414 86691\n11706 90894\n21406 52894\n34077 43793\n48444 75232\n48176 76017\n9408 54055\n43726 78635\n12980 95467\n33307 94191\n5361 33449\n25311 74345\n47329 60170\n71879 77523\n41161 58249\n12831 34248\n29655 92593\n48835 91339\n15411 39995\n54196 68130\n19668 79106\n52020 75327\n43980 69340\n78965 92312\n52025 80939\n3782 55421\n6054 67315\n33378 60676\n40379 89850\n1274 24480\n8411 54198\n9501 37766\n9729 11075\n92188 93345\n75984 86385\n72543 92772\n42000 91274\n50490 91625\n28435 91262\n77092 96378\n40478 93956\n11106 19661\n12382 80005\n12311 23045\n19392 33845\n12783 81393\n36746 61556\n6289 73165\n83932 95693\n28946 37316\n26097 71936\n45413 84872\n85402 94494\n72547 74080\n17392 80046\n53820 69274\n1680 24853\n78779 84756\n96768 99457\n70487 73918\n59159 64826\n41700 52988\n6883 49454\n7096 49150\n1904 14337\n72402 73193\n29586 76756\n13909 33080\n13708 88880\n23720 44368\n66933 91522\n17399 18437\n54333 81466\n10412 11239\n70860 91166\n24268 66695\n3646 83319\n12961 97251\n22941 59593\n1003 95870\n86185 95779\n30075 77774\n13594 76382\n13146 70868\n20421 30130\n10719 16975\n43559 61438\n29795 44613\n16123 75324\n49699 49847\n54573 70334\n31904 61584\n11415 79457\n20087 56199\n45164 77877\n30690 99220\n1989 64229\n18379 37608\n25412 63008\n57772 98309\n20053 92199\n48454 71947\n38997 63475\n66480 96144\n1288 78294\n28530 45347\n50727 71025\n13926 46364\n48183 68993\n11324 48444\n2478 69583\n20873 30403\n1438 7425\n75577 82468\n33883 56462\n16800 21326\n68197 79843\n15504 58221\n24620 81341\n43200 53672\n67390 69519\n54627 57858\n56226 79693\n67487 83303\n18566 68738\n5003 9196\n1194 5794\n28993 85461\n39294 49596\n21098 47471\n29023 93334\n9622 48639\n15668 73447\n8859 23159\n6165 56215\n34227 43054\n17022 68530\n85305 87409\n5700 10273\n68911 69195\n66360 88750\n16291 50968\n66680 70187\n56326 78530\n23584 97125\n24254 64702\n51714 68269\n32355 82972\n54571 71810\n62669 69348\n35726 85028\n8123 35597\n21364 28706\n53815 64690\n41361 73412\n34123 53195\n85487 94065\n38106 77691\n514 59512\n12444 68752\n17450 52254\n53595 97843\n30803 91126\n70577 85013\n44353 64984\n48733 77395\n72041 77029\n66018 88436\n3665 43728\n47277 88485\n9857 17457\n39575 96530\n78028 88842\n30687 42756\n67231 85898\n313 83530\n8065 64730\n49905 91705\n38863 91924\n4546 22907\n116 38214\n37832 53543\n37401 77055\n8559 49657\n10902 92307\n18074 97657\n5276 7305\n47144 52339\n17410 42484\n16722 93312\n25670 41961\n53929 62746\n3919 66698\n28822 78390\n22183 49200\n41856 82597\n24607 51989\n19477 74157\n53848 74522\n3323 85119\n1613 67355\n19541 90361\n57328 71234\n21999 45766\n74082 92462\n93387 94405\n9128 24911\n35894 47921\n52069 87837\n48014 79166\n25281 66681\n17426 91962\n66318 69278\n45533 68313\n38891 52915\n33516 99334\n11709 86022\n12175 67078\n25078 71481\n14464 28522\n9376 40822\n39524 90149\n24331 30237\n42013 79532\n16598 93618\n16391 97491\n75476 83102\n58409 97012\n88835 92762\n60344 83759\n14649 40831\n26899 93068\n7439 16378\n13737 91493\n800 88748\n41153 80602\n48697 95743\n26736 94026\n18295 66922\n21139 33356\n26736 63813\n2398 78348\n46848 51447\n74533 83957\n35241 57158\n42969 51185\n65310 78289\n9688 89606\n35455 94508\n38833 97458\n46689 51285\n58624 95762\n46801 94546\n20299 92936\n39201 78902\n13425 60167\n73166 97409\n22327 64502\n83535 99624\n51772 91452\n12384 47664\n25777 96956\n57001 88586\n40341 99977\n13217 63911\n67515 91200\n15806 77997\n11985 33235\n7248 48589\n44399 71520\n57795 77809\n54301 99285\n68813 76218\n25084 69786\n20702 94920\n17336 47815\n14752 91507\n14084 15381\n38396 86733\n16077 91180\n58517 93971\n39422 65250\n27824 88712\n32757 35629\n36111 95971\n6845 47237\n14664 50815\n80377 84700\n10951 29958\n25485 40203\n43576 68348\n21048 39311\n44382 65552\n14276 78296\n63007 99032\n19876 89809\n4952 83936\n14088 79491\n20784 55078\n20062 85934\n22218 80986\n4589 46198\n46977 92785\n21564 37313\n36617 70977\n62197 94905\n42969 56639\n26875 37392\n39032 78459\n81319 96124\n19087 85509\n990 55028\n45905 57487\n23796 30042\n15565 52277\n3749 32118\n48848 66787\n54622 96913\n20984 83180\n53271 91949\n17661 30782\n32958 92942\n32635 88313\n17335 85910\n1369 68551\n76616 85593\n10174 44755\n19535 87840\n30424 61594\n88013 98121\n14930 84087\n20274 67259\n7579 44070\n45591 74452\n15881 45101\n10274 86947\n24155 43312\n3007 24264\n18657 24371\n19522 91821\n36855 50220\n25069 29875\n761 17917\n79634 99160\n1875 52190\n60562 67052\n77155 96210\n10279 88734\n2807 73952\n11860 99124\n38752 64677\n57734 86438\n74708 86685\n30673 39280\n34995 81716\n36105 79177\n45327 50913\n6625 16685\n30576 92669\n66000 82830\n46101 92291\n50301 71933\n15177 57396\n17775 75798\n18561 43648\n34487 58462\n37258 61424\n37792 54497\n56276 61623\n23702 37680\n64736 85698\n60735 94116\n38325 86431\n30523 34990\n104 50865\n50594 81781\n27929 43263\n42134 83050\n73671 93363\n19323 38976\n26145 97490\n42527 49524\n29243 63869\n29939 69369\n6797 53281\n30255 84820\n19224 57212\n5064 7911\n2339 70554\n11442 16725\n34292 86074\n41541 93793\n93972 98495\n5377 15816\n21135 83994\n24004 47037\n52906 57979\n57719 64465\n46338 54402\n73221 73960\n6890 82795\n48115 92590\n18817 63683\n87101 93095\n35709 73504\n8725 69485\n17430 97680\n71763 93347\n2003 80120\n73690 88222\n13717 71487\n658 20823\n6833 18175\n39353 86889\n2672 22938\n22914 80066\n12775 27985\n4283 70470\n9949 20370\n26898 61313\n22035 46299\n37390 93732\n34234 85620\n19518 68145\n36616 81492\n70015 98571\n32881 67605\n50833 88233\n993 20465\n3912 20479\n50404 99586\n27562 95669\n8337 11996\n93637 95447\n30667 32261\n11406 55872\n61506 73521\n7155 18312\n6266 16989\n16033 50453\n5251 87450\n5276 97328\n72505 92965\n3905 57392\n47616 84629\n60027 91912\n1505 96127\n16470 71119\n17070 51478\n41256 98760\n89966 91286\n9815 41574\n37049 93564\n4847 56490\n82392 89904\n30663 61731\n76015 81370\n64099 97039\n46561 86189\n34367 54066\n14384 34733\n31753 68863\n7794 88990\n21481 29814\n31524 83665\n81115 89196\n13574 57170\n42610 73784\n11932 22248\n17820 80451\n57994 91925\n4676 15394\n35344 54993\n50490 57898\n60360 74383\n16076 99462\n40417 47448\n59526 83349\n49353 95137\n4639 77302\n1127 12398\n1894 46278\n12331 91585\n15441 24195\n13048 26687\n7174 12092\n38961 84633\n4799 41674\n29583 96652\n44920 99876\n1930 6048\n37397 67309\n22189 75827\n44860 50446\n10073 97614\n66715 74377\n73514 98422\n7546 90498\n20066 63676\n45903 77432\n78887 91839\n55276 55572\n74895 83740\n64918 78857\n33585 47546\n10178 82096\n57348 98839\n37990 95971\n11948 86341\n45923 50732\n42442 90626\n12943 90566\n5970 29037\n55384 96464\n70554 88347\n6435 36220\n51077 74455\n24625 34720\n37918 82777\n68161 85919\n44180 84284\n13506 26525\n7965 9656\n17908 21785\n3669 24333\n70721 72976\n25844 51134\n25049 73904\n6 75113\n22815 36403\n28910 85724\n5951 96795\n17037 27146\n25306 81766\n77839 91979\n9720 42759\n53996 58850\n85739 93828\n75333 83402\n24084 75444\n38369 46694\n3124 59815\n59683 88838\n21624 53431\n46865 63069\n290 45108\n2597 91767\n4819 77872\n60466 88363\n2358 49353\n37627 42841\n43995 66736\n37700 41635\n12443 54647\n36838 42490\n24784 43760\n62103 73117\n10779 98230\n33024 37264\n35890 92388\n27319 55615\n24440 38872\n54876 72085\n39139 40389\n14209 55345\n57007 92900\n11338 15832\n50846 77983\n6371 33265\n31370 96028\n68326 89341\n37665 71539\n2076 14609\n83342 99854\n2657 18565\n25819 26741\n86767 97635\n39215 86602\n10066 82892\n29632 95961\n51009 93080\n10311 45273\n5767 55463\n29530 60470\n53361 72113\n49598 51782\n30913 89340\n52116 96449\n55624 74937\n42763 93700\n20388 92708\n27075 36004\n47961 52287\n80306 95763\n50456 84203\n44640 91779\n45217 63238\n47731 79064\n6019 63964\n35055 47495\n48453 77820\n47231 73355\n24597 64426\n13902 16491\n24941 30141\n10368 56480\n33726 71220\n12019 19228\n28741 37372\n68023 81743\n5987 84929\n34625 59457\n53778 55323\n56850 93760\n46310 64886\n23368 52101\n6581 99385\n13007 62565\n84412 93707\n51577 77941\n859 14548\n4215 12284\n12360 36870\n11337 77831\n5986 94646\n70194 77686\n19085 55663\n1704 84094\n61395 86148\n16091 35649\n52865 95933\n20772 42435\n56016 89920\n27214 89059\n1054 3107\n1983 85268\n337 61950\n65948 82555\n8166 74441\n5736 28591\n74079 81411\n30773 75615\n18002 98354\n43375 76417\n79072 94780\n42957 52292\n16855 77058\n30458 70544\n54686 77242\n29306 39820\n10976 76374\n40017 54130\n6595 71854\n54908 73117\n16421 87828\n20402 47840\n5599 86122\n2527 27956\n11263 96822\n40031 58647\n33574 36245\n29889 97837\n66711 70141\n2683 59880\n29602 53962\n17884 50676\n50895 92358\n22902 80631\n17440 40751\n5168 71866\n3318 88906\n6471 90977\n22487 81332\n43182 54557\n6027 19701\n32570 55623\n64826 95022\n31235 86647\n37041 59818\n38610 62622\n19314 53958\n4912 33022\n53124 58928\n17945 21406\n69928 76007\n69796 82769\n30468 40921\n12644 99146\n51737 56562\n27029 74342\n80326 81573\n20594 28489\n77793 99212\n4075 56731\n61697 99176\n32996 94312\n2666 49866\n14489 44961\n29598 72547\n71138 72877\n2412 91055\n59612 87189\n26212 60445\n71522 76500\n792 59820\n9505 36087\n43399 54104\n23839 25563\n65176 65753\n69817 94462\n4701 63861\n40540 82208\n6217 35566\n43246 58773\n27244 29714\n4109 38918\n5176 36336\n72187 98849\n5805 99999\n15423 20110\n33348 87115\n14918 62098\n16178 41847\n38343 67146\n76030 90613\n14209 57499\n76177 77846\n42801 84546\n59217 88049\n79576 97761\n46427 79500\n29547 50823\n27122 80536\n7252 60899\n1053 23198\n21658 67801\n57466 98895\n53518 75841\n12463 54708\n318 81638\n11901 75657\n28370 30743\n62105 65120\n74819 88227\n4544 79403\n861 99725\n8797 83271\n36719 85652\n7937 97468\n24542 29829\n50112 66734\n48445 70216\n13949 86264\n57605 68869\n25506 33843\n61499 81237\n7354 49687\n77660 81824\n9206 89404\n16188 37959\n31006 93911\n33997 36300\n7974 67199\n3907 99236\n549 99154\n26094 85015\n79083 85635\n27173 94273\n13804 97617\n41300 97551\n20947 76390\n32881 77494\n22850 42681\n9908 25111\n28069 47430\n62555 71076\n44571 93528\n9853 98990\n6113 88674\n49841 98141\n14735 30169\n28396 80414\n15693 84129\n16247 28461\n43014 61391\n524 85365\n13912 58457\n88828 89424\n35384 78811\n54331 88415\n91727 95980\n85403 88166\n18884 97293\n40348 55020\n32249 88125\n71113 98438\n7831 82596\n18253 85428\n4730 96230\n60596 84207\n23711 87988\n17879 25767\n25864 52124\n44616 61786\n16193 37752\n54151 91086\n62999 91532\n55205 72259\n1802 84907\n45808 94515\n84499 86377\n32082 85845\n9185 32243\n53075 88396\n93716 98964\n12089 80222\n70851 86943\n4406 23900\n25166 73405\n11765 79034\n15556 16522\n1469 7937\n39728 88080\n15518 89881\n49082 86270\n61869 71234\n58829 67554\n13793 46280\n42599 66389\n27203 92365\n13574 20285\n60782 62178\n84261 96088\n5695 11302\n57952 82998\n65796 69492\n10157 13259\n81576 91044\n35737 46580\n22717 33800\n15368 53027\n41933 67889\n46334 97216\n14097 29824\n29865 30157\n16967 21798\n27293 71431\n22716 30502\n22024 58980\n36080 58572\n21367 66049\n64073 91809\n17378 56752\n5115 48042\n30995 36821\n39341 65851\n44093 85570\n24975 63887\n72423 87048\n29426 30091\n14154 54055\n61193 83083\n17835 39543\n57479 87895\n23673 91789\n38054 98804\n57502 94670\n60068 75418\n74764 76248\n10521 70500\n4175 79908\n25059 52272\n40304 98033\n1570 18698\n49357 79726\n11259 47356\n85409 96714\n81099 90742\n41811 98868\n2922 72872\n10431 81628\n22991 99738\n19022 44741\n18758 21621\n5628 56222\n8697 18562\n14222 55858\n36440 76755\n28068 49167\n76435 81345\n17916 89646\n58958 64094\n60442 63133\n33512 67773\n25335 28104\n67408 94216\n18095 77389\n12733 91844\n3523 43997\n44044 86934\n87775 99570\n6207 7662\n27837 76659\n45556 77989\n61747 95502\n33600 53388\n8794 61676\n18155 33417\n6614 66134\n36430 88249\n6530 16295\n10707 35122\n17337 24835\n21792 92178\n13086 74999\n10993 67027\n19890 68904\n4516 65863\n57444 59024\n23566 28556\n25223 64879\n54272 86638\n5113 22969\n12618 90037\n81602 97010\n64986 85908\n26567 52545\n2117 31337\n57321 67980\n7122 15969\n57852 68850\n39126 93207\n70906 88299\n54314 65756\n22599 99252\n46384 69560\n13753 51841\n15435 78482\n6126 36510\n27722 45727\n3074 78421\n12151 62606\n43565 86500\n43474 76559\n15919 16602\n989 54206\n18590 66932\n45607 63762\n45011 82638\n39488 97534\n54192 68645\n84102 85739\n38672 63395\n43863 50807\n13977 88380\n62608 66337\n426 58327\n48982 50230\n11434 91553\n43153 79546\n48720 69314\n7791 20217\n5259 38778\n40904 87332\n5427 9689\n40315 44157\n43040 60339\n85026 86062\n20718 75953\n44389 74260\n30656 70473\n64394 87672\n19936 46702\n34112 37430\n9981 87676\n6879 97081\n91110 96587\n57335 92751\n14812 21091\n77551 79083\n62144 81472\n21042 94155\n57723 63523\n32833 83395\n19318 92028\n20267 32328\n55077 60677\n42486 88698\n44913 79681\n11302 86382\n46301 90529\n2043 8139\n24889 29136\n2275 20101\n48809 88231\n49448 79110\n26923 85541\n14803 59058\n1299 98927\n18851 35757\n73914 92968\n19315 68571\n64468 73219\n53555 93546\n50091 70529\n55810 62398\n36280 53462\n37587 66603\n60947 80341\n11923 24685\n14362 99027\n5555 26478\n39895 97267\n6967 97760\n20266 41857\n12150 32735\n34999 89978\n28063 73213\n18801 54075\n4324 97799\n9721 25251\n10749 60060\n50121 67490\n22869 24350\n86333 98863\n8270 41952\n31466 51048\n3895 52919\n17348 46039\n45188 64305\n23438 34686\n68421 99701\n32849 58140\n34286 78118\n4904 88929\n43070 89609\n40789 54829\n24688 85839\n59476 81505\n17209 19855\n55418 89548\n54905 72633\n15402 54406\n52794 83524\n22834 72255\n72738 86063\n16102 89165\n25366 27411\n17649 34163\n18146 39220\n16839 73162\n43635 99763\n6158 59737\n31712 40047\n39951 92178\n13774 61848\n31559 77972\n57693 96133\n12724 59941\n76904 80652\n4868 13138\n522 94155\n11467 29557\n24616 25256\n21932 70730\n46934 88540\n38467 51984\n16143 64922\n13121 82019\n8120 42844\n10593 24028\n4125 96674\n32050 82629\n31646 42304\n27497 85453\n73322 82605\n24605 48301\n10810 51420\n4656 98557\n13032 15193\n26948 46309\n19628 86875\n23857 31088\n37813 58301\n16043 46497\n52690 55757\n38890 56435\n16144 75842\n67959 92623\n26261 98669\n71287 92290\n16252 44375\n6419 73185\n14356 27572\n57859 74972\n70938 93679\n48998 64124\n19639 95614\n7210 81509\n44131 99521\n26775 61201\n74968 91444\n1724 13132\n30451 50246\n6213 76691\n53485 65446\n76255 78968\n3282 82962\n66570 79629\n5019 30449\n19628 50853\n30965 93113\n20544 66948\n12334 61043\n37642 82384\n14221 69627\n13457 97808\n12612 60911\n24613 44409\n3537 52520\n68494 78937\n60442 98644\n42847 78601\n17608 27494\n12211 70947\n6396 42388\n14539 54757\n29115 45332\n48540 89368\n1975 14455\n85266 92651\n16187 42503\n11188 16962\n78498 80522\n18081 33560\n10871 47175\n1781 32151\n42424 94920\n17877 80061\n12326 66031\n64514 90128\n29109 74491\n11635 40603\n62146 88844\n12834 29715\n34375 60754\n4969 30759\n27707 41133\n31 68911\n21719 34527\n1242 84129\n48134 66589\n7265 8150\n19841 30409\n44191 77789\n6152 41180\n259 81836\n84755 97475\n20047 29984\n60344 87380\n50320 76270\n8366 51804\n15521 53389\n39151 91077\n22071 44433\n23953 36431\n8965 56631\n3640 81998\n78504 91010\n71092 82053\n4196 30518\n15633 36556\n23393 71092\n354 94407\n61576 67194\n85211 91594\n2420 30516\n38792 84744\n35578 46049\n11549 87531\n19320 36164\n6324 66375\n21930 57493\n8752 64941\n20572 36662\n59788 64539\n55237 72477\n37628 82921\n12124 46405\n57058 99206\n29763 39277\n16650 53230\n33685 69293\n34986 86908\n86757 92867\n18579 18999\n9396 77700\n20853 96352\n535 82696\n68222 82326\n43323 82336\n35886 87174\n35743 89803\n8685 33342\n56607 95166\n6238 11397\n8457 29903\n6680 8078\n59442 98266\n17563 36734\n7590 39049\n14854 38532\n9644 15783\n9398 27622\n36209 42549\n46778 70479\n54590 97934\n36348 90361\n52680 82778\n23939 67957\n30396 75107\n24966 57018\n60905 64436\n33472 50759\n46117 69224\n572 64692\n75471 94363\n42953 79511\n88681 88856\n272 62149\n60033 76920\n1863 84877\n86680 96267\n42676 56560\n5759 79298\n6321 23090\n61253 78420\n47016 94134\n37295 66350\n19218 95708\n39584 71781\n73366 85529\n36090 82856\n6295 52953\n6707 94645\n8574 29166\n77420 94690\n10985 79998\n22610 81217\n22448 94197\n62832 71827\n18623 95346\n36718 99942\n3576 68846\n20258 87753\n31821 80576\n12220 47918\n61488 95593\n72376 78018\n11289 59959\n23559 43589\n50549 56368\n19941 95091\n41878 51516\n13564 32805\n76216 79904\n7299 45746\n11483 91731\n39059 97485\n4418 10851\n32476 53864\n26017 46103\n1927 52916\n7069 85546\n43666 84601\n35642 63037\n61662 92341\n38285 51025\n29300 33456\n32659 37623\n37202 77728\n4766 74202\n88914 91447\n20364 88466\n39118 46605\n65221 70901\n9357 79518\n18036 93690\n3960 24599\n1756 32305\n57846 64905\n11156 60615\n47192 87153\n59126 67126\n32933 48823\n81981 93992\n23501 96414\n64014 98279\n8848 77393\n78305 97872\n80341 81951\n8865 75335\n11948 76382\n21163 21187\n20989 94124\n49919 62028\n5703 47511\n83456 95627\n59375 69712\n22948 32742\n82498 95278\n71884 95558\n19595 31897\n39956 96114\n22879 41859\n6156 37480\n26713 97134\n40965 83595\n797 90354\n1916 93393\n17673 52481\n14185 51643\n19283 94873\n1010 71139\n26983 72127\n22909 61814\n12139 21020\n11309 41914\n55344 99299\n2561 15953\n16557 61053\n62100 95445\n56350 93445\n47997 86499\n76897 89803\n11178 30206\n39574 80508\n53081 92171\n8544 92835\n22138 89555\n35706 38004\n36221 58970\n33433 42935\n44121 82622\n90289 91464\n13792 91572\n58823 99667\n19937 79859\n16615 41780\n22861 45555\n21031 95395\n65502 97168\n82377 96753\n18250 85904\n52964 66638\n27280 87493\n89692 96568\n2291 25377\n11144 95132\n72584 73056\n32977 44784\n61216 63030\n6031 27638\n22229 95368\n15070 42956\n9635 51009\n59960 60828\n63325 91341\n20522 55159\n43144 74444\n11879 81118\n58193 81698\n10897 15656\n28901 58927\n44516 68463\n20459 29038\n6152 47610\n13293 25539\n35346 49559\n71372 82963\n29131 33063\n45459 58994\n2875 93961\n41219 81328\n51188 79017\n19954 80288\n35531 78431\n10307 14684\n9443 9628\n16917 64807\n30019 36704\n26383 78816\n65240 67443\n71838 83834\n4973 87484\n12157 97903\n61404 93068\n82835 89191\n8295 91701\n47517 75389\n57473 64006\n75018 76380\n49603 85347\n14449 43918\n71719 92313\n10162 34694\n20068 97151\n2094 36697\n15162 79185\n5322 56902\n34455 67383\n41626 50284\n43683 71442\n61752 67102\n57011 58418\n5769 48732\n31945 65205\n22443 65133\n26653 39132\n25230 44494\n74590 94257\n15652 58029\n7606 73168\n32987 35540\n27131 31287\n55736 71519\n7661 51563\n30836 90137\n44304 88543\n90608 95388\n48550 94508\n23229 29732\n5825 53453\n40100 84148\n15631 93968\n16734 59580\n34914 55111\n14300 20607\n65106 97339\n14736 94779\n17378 60779\n2733 68151\n34005 69759\n23441 61735\n6126 60852\n42562 63111\n19381 45537\n1434 65467\n5930 33368\n48600 66873\n63497 64429\n27507 65945\n28945 80587\n434 37309\n41430 87174\n20652 96069\n47574 83904\n11207 22283\n81540 91022\n44450 75418\n91450 96170\n66687 87137\n20419 63620\n7417 25539\n26534 62563\n36290 52898\n4591 75332\n11696 64753\n52151 77579\n18377 44948\n60101 68299\n13329 14556\n2951 74211\n13191 82892\n53521 90695\n19736 64022\n61496 82773\n32445 72210\n23392 52119\n15753 47321\n9582 87540\n10110 34152\n77996 89611\n52420 67998\n16411 83715\n64776 86486\n67545 76102\n39510 46112\n10630 88709\n16463 90610\n1155 42726\n15672 86418\n27338 51637\n26063 93320\n13727 36686\n22331 90910\n64468 91365\n34082 97247\n37089 41976\n754 38203\n33138 66040\n34087 51660\n70966 81281\n39123 76427\n44528 81848\n8766 26235\n33169 65166\n82361 87710\n15481 84066\n54287 88342\n26743 38742\n69286 88228\n50627 97046\n36079 84874\n24758 30031\n79693 94875\n36124 69787\n31527 38379\n53258 73713\n19154 41670\n40744 45866\n31026 40772\n64158 91721\n19878 53445\n81389 89229\n57202 86732\n25980 73055\n21818 56315\n35658 69315\n6081 64955\n3483 49713\n21815 45255\n18136 66643\n15529 60397\n28028 70194\n46920 86449\n20713 71218\n65821 82133\n7064 100000\n51591 66749\n2417 86093\n4905 22392\n7677 69321\n52142 94156\n17718 35274\n49299 83318\n12544 83396\n13356 84615\n82341 83349\n6666 39627\n14443 26421\n13155 48575\n57577 85572\n18336 70079\n40246 72509\n51308 63061\n12620 37988\n9405 20494\n35101 70270\n17841 26708\n46561 60635\n24778 79281\n22582 60280\n68110 83025\n58749 73664\n42031 73230\n71355 90061\n10926 97917\n26268 71449\n64257 65683\n39072 45233\n7389 35182\n32252 63366\n10718 29765\n15136 44148\n31241 31670\n4030 94107\n20733 25097\n18178 33385\n51043 71863\n52957 87600\n37427 57452\n30462 83746\n66787 99402\n66334 79870\n18450 25589\n7234 12167\n92120 93366\n24445 55693\n33384 98511\n31711 41417\n16143 67238\n15018 82565\n1339 44464\n18423 66604\n68809 94137\n70130 92928\n42314 77738\n67792 91631\n40468 68669\n50391 75525\n27546 56693\n55908 96358\n1524 63082\n74486 89751\n54975 60934\n38872 40595\n33082 43807\n8303 47380\n87677 96168\n50258 56123\n61084 76562\n54961 83118\n77531 92128\n14069 82869\n7615 57265\n62996 70112\n16059 87445\n43479 63941\n13158 24461\n9220 32449\n79039 93664\n40370 65541\n4621 11338\n77632 86909\n6647 38170\n48675 51378\n18477 64183\n45839 45953\n4248 8453\n71449 73133\n31863 94890\n6702 85398\n63687 82636\n53399 64250\n24072 43128\n25324 42514\n6067 79323\n4242 33639\n38471 72097\n16493 65053\n553 94657\n893 30152\n56156 95568\n71900 91307\n58711 72195\n19927 64612\n58284 81057\n46066 95836\n2358 51614\n33657 91038\n24894 58985\n10922 12547\n51835 89302\n13101 48494\n29490 77950\n9713 17755\n9982 28352\n38022 78278\n35766 63228\n2314 99104\n86989 87050\n51067 63596\n21635 64090\n2181 16283\n22469 39557\n74327 93487\n12305 79478\n21866 47302\n78492 91398\n49407 72716\n43034 94472\n5234 42052\n3487 80917\n46343 55411\n14246 40757\n4309 97601\n9168 65563\n55847 96698\n40789 76810\n8849 48575\n81813 90580\n6469 21623\n39515 98496\n10802 70723\n23017 99059\n76068 88108\n12625 92497\n65729 86877\n18301 71206\n38832 54178\n34371 84677\n85346 94215\n19145 88487\n45611 86552\n77678 89075\n55134 78117\n43463 47480\n48395 57750\n49823 52113\n18668 25524\n11129 36135\n32508 82713\n7318 70729\n16092 91651\n59808 71094\n33044 71506\n41151 74261\n48947 50647\n11331 48847\n8652 88178\n40891 65092\n39048 43828\n40268 77264\n7809 12109\n18512 54043\n73703 93557\n67789 74329\n3920 35341\n2203 82394\n16943 69058\n35154 48624\n50470 61266\n6439 65433\n15481 50818\n3226 27878\n46232 85759\n54772 57294\n33643 42826\n29606 82573\n4042 85623\n49966 89929\n18523 56763\n1545 93556\n13126 63156\n92279 96086\n89198 91818\n21161 21192\n12601 95562\n45418 94149\n19020 42144\n46790 92227\n7644 76121\n30722 54118\n53900 81958\n37408 99238\n26951 78747\n32988 68023\n35058 62807\n7436 31450\n9372 13196\n9434 74902\n76442 85123\n59494 88694\n16582 88143\n15985 33699\n21592 35952\n45418 92821\n15572 84878\n18193 95591\n15637 98308\n42653 68139\n29839 98528\n49553 85485\n16842 65031\n5157 48844\n397 2555\n5978 79899\n48306 94528\n7150 25077\n9626 33148\n48905 94029\n9803 98818\n81263 88166\n51273 96515\n6725 6854\n14565 44335\n469 76654\n16755 83876\n19564 99225\n33152 48179\n22713 70847\n43389 64846\n24179 65875\n51303 84739\n31211 37376\n9187 84349\n14826 64858\n24870 31109\n45266 91791\n29717 78415\n5148 81706\n11488 93750\n1826 97686\n30099 63967\n25972 94849\n18448 45519\n68292 86438\n88247 97530\n9711 48567\n510 86750\n1333 69887\n12836 98339\n36780 93537\n47030 90074\n12960 21017\n1521 48071\n94177 94218\n31213 96981\n15869 61029\n58385 90557\n52960 65407\n12526 93270\n51935 90832\n36500 62963\n10380 62960\n51219 72768\n13399 56126\n55577 59854\n8503 39307\n55523 94344\n25144 61068\n24795 92387\n45890 98920\n5715 41432\n26510 48917\n63180 86893\n16036 42168\n37539 77361\n6880 76446\n87716 93408\n38140 89297\n4568 16686\n3769 18543\n56551 67869\n5428 85250\n41003 44577\n31218 58484\n31919 83498\n39264 77069\n3014 6182\n4991 88138\n39725 52061\n56354 59333\n14547 81512\n18682 45518\n64804 99216\n10167 33862\n63663 64569\n43308 56899\n33152 55526\n51698 76680\n29785 40964\n60115 87786\n49204 85796\n46592 54854\n19824 46981\n35968 39083\n18277 62778\n14116 30814\n44958 46342\n46668 96527\n24861 28400\n12299 19804\n93912 99829\n73001 76109\n62977 67126\n13501 24179\n12239 65637\n54865 89539\n64210 76681\n53925 59796\n6221 22985\n24615 50382\n5279 5740\n38912 80720\n37716 42980\n50744 92053\n72909 82304\n44546 63593\n13510 19603\n61057 98441\n34424 60123\n7 30758\n50518 90999\n68794 82860\n75293 90412\n12350 75372\n14840 99899\n13590 76316\n1166 37696\n40277 47561\n37935 92020\n4701 65005\n35583 99537\n55855 70097\n78080 88641\n26182 51053\n7613 22111\n35376 55930\n90845 96518\n30747 82655\n54336 58270\n43143 71160\n23358 60345\n12933 19436\n11061 39313\n36307 90496\n2853 45912\n49494 71078\n67929 93711\n9995 55902\n27646 55447\n15690 41773\n57796 96415\n10429 47865\n29724 88925\n47593 82771\n40780 65793\n35407 63625\n57081 72969\n46520 86782\n12276 65019\n37451 93291\n90000 99235\n44768 66897\n28489 43096\n24352 55281\n27564 37256\n40841 96731\n43705 90797\n3332 85451\n53469 69862\n76285 91680\n52750 97882\n55931 76867\n60140 70925\n27087 54012\n32874 93242\n71583 73839\n70116 81591\n49939 85586\n37174 69304\n18047 83726\n45245 99718\n6726 73054\n50750 93457\n46693 70711\n34080 93497\n27351 92498\n24791 42122\n38796 89404\n38469 93981\n94433 97364\n49648 59779\n341 47926\n46999 95702\n60854 87153\n1716 70447\n38378 87676\n23396 40047\n1619 85008\n74044 93948\n22051 39515\n21524 27045\n29874 87357\n29986 31182\n3816 40486\n47859 93811\n25883 41370\n31831 56526\n1171 2698\n27113 62993\n82781 85426\n13222 73195\n17316 20529\n26955 65113\n76951 79273\n496 42212\n30487 94541\n56813 59735\n12480 27871\n14774 82302\n40345 53846\n16507 56397\n52228 93473\n8592 22685\n60243 76936\n46600 66932\n79664 97663\n6901 38641\n28992 72474\n35328 57800\n45770 88200\n25187 31716\n41727 48840\n6123 23449\n14836 15897\n9923 93806\n14558 76686\n12139 64459\n6920 20799\n2672 47188\n46477 80385\n59047 76751\n24302 38031\n24121 94413\n18195 80705\n4306 20428\n10778 43885\n15807 40873\n83 78851\n865 27638\n36531 77656\n41073 54299\n3715 91346\n11350 75789\n36708 59843\n41772 48880\n9822 56571\n43580 53362\n25284 27239\n81377 82979\n47537 85898\n149 73546\n17244 94348\n86656 91646\n70189 91003\n64121 79784\n24794 67173\n41295 65054\n25329 96677\n30856 98775\n10416 69140\n62070 90407\n54366 88397\n11411 39490\n30500 68125\n68252 77112\n9638 38697\n52722 66615\n4643 78050\n49958 80811\n12087 87169\n23737 76604\n85634 87284\n2461 98241\n34862 42903\n16161 37987\n46466 92805\n77500 89400\n44148 59877\n43238 75634\n24904 41188\n23430 34119\n10764 94656\n2590 73167\n3544 48140\n3322 96387\n46153 86940\n10527 85678\n78475 88231\n41452 79990\n28338 83042\n17320 17941\n2666 83648\n2351 88593\n16313 92942\n32706 38348\n64224 92461\n2959 21392\n33041 47995\n28164 63181\n71865 95194\n36469 50535\n7134 68114\n11393 43280\n70366 72434\n9976 58036\n42802 79832\n30485 77602\n31323 57365\n26541 95722\n43273 64638\n4691 85689\n43899 72163\n38533 53131\n39266 47356\n4261 86581\n30555 44113\n4384 50245\n38691 77359\n14978 40813\n1774 14585\n30278 78173\n62410 75063\n23920 78906\n27459 79651\n44913 49912\n48196 66143\n11327 89221\n45129 65863\n47814 58079\n31051 59044\n46503 56535\n66966 68682\n7475 14707\n46754 56791\n4908 78908\n56815 90525\n54631 78926\n17884 85251\n44581 67744\n33765 36896\n50616 80811\n9155 38541\n54787 75019\n41321 48346\n16568 17259\n69759 92573\n33483 80430\n10484 22550\n75209 79396\n2865 93368\n66697 71376\n73952 90449\n7875 86106\n654 46873\n57631 97420\n22483 68992\n33705 80094\n68712 89834\n7918 51696\n54298 99315\n42652 86421\n26629 29033\n45285 82216\n54710 65369\n32880 79832\n4016 15926\n36303 57349\n61702 92998\n87550 91334\n8834 35793\n36546 67779\n29887 69392\n35355 40219\n26620 71102\n14950 31855\n20508 96394\n4988 47043\n38447 62686\n10348 65449\n26505 55078\n63405 86879\n44030 46143\n24884 50128\n10011 97592\n58110 69166\n11580 26939\n45794 61049\n28533 68548\n79092 84931\n15151 52650\n23626 24383\n42779 73056\n62837 68791\n95238 99454\n61445 68726\n58455 86626\n1785 45032\n19796 20571\n24601 71752\n10960 95474\n94894 99996\n8388 95961\n19085 25555\n35689 70477\n63660 80875\n14891 56388\n33102 69070\n99265 99486\n33287 70424\n31054 97000\n14365 51523\n31310 59424\n27566 66466\n16733 95997\n51321 53497\n32132 55016\n23237 43377\n363 26730\n80294 88848\n24501 51161\n70857 91720\n32037 36029\n10616 11243\n77147 93750\n2129 88505\n18580 85865\n2400 46841\n56968 93175\n64259 96454\n32777 34645\n32302 40894\n21843 61356\n62225 67307\n5891 69817\n27244 71608\n41570 54876\n79099 84489\n73711 76943\n39732 83320\n49095 55640\n29422 62426\n75354 92159\n3657 25391\n6100 50992\n16356 74373\n13176 24622\n11217 83907\n59643 98840\n16667 85638\n86391 92507\n32332 63086\n13301 32378\n14280 37111\n1064 5146\n4389 86432\n4967 79598\n49915 66930\n29463 73401\n22301 26587\n35852 51687\n15708 39866\n14360 98281\n22985 81821\n27233 32785\n34463 86244\n41828 79314\n54319 68765\n8935 96523\n65426 84192\n51277 96829\n46827 77399\n59303 99697\n63971 66875\n30237 64953\n26985 51793\n14329 15226\n2715 35399\n77421 80034\n59033 64459\n18374 43878\n20893 70540\n9375 83696\n13233 93093\n25739 36093\n67143 83476\n49240 70816\n9729 33398\n20341 96253\n4182 48984\n8306 83132\n21885 28477\n42377 79936\n49022 91025\n12784 13785\n28508 66881\n4137 37609\n44633 88886\n38733 46004\n23053 80000\n17913 83293\n30276 80337\n13773 86042\n21707 75563\n34524 63953\n69839 73700\n70853 84296\n23745 36981\n3903 32084\n15727 95854\n28186 60059\n4826 62183\n31692 84460\n59041 97693\n4122 89045\n9971 12397\n43453 52530\n60248 74990\n48409 65704\n25697 88991\n25183 54990\n37130 95758\n82306 98531\n31416 90813\n33240 55880\n58857 61984\n31089 72912\n23956 41069\n13903 28148\n76105 89304\n63870 82809\n20373 28587\n10688 34959\n8623 82865\n8605 85570\n60001 75218\n46566 58213\n89014 90222\n2822 40632\n30141 32474\n17315 29102\n86207 91785\n1322 50755\n51154 95766\n15949 41751\n48505 49811\n45359 67786\n39241 78657\n49763 76742\n76716 81022\n57437 72668\n21092 84270\n1920 37592\n28498 33021\n22202 61975\n14205 61510\n31182 34883\n4684 75595\n26232 44675\n56937 74623\n12758 32380\n2290 19505\n51931 62858\n70656 77106\n19737 77647\n35231 56435\n19283 65075\n54178 71653\n1096 57101\n62984 97393\n24766 48973\n22411 62458\n15766 85119\n42881 83940\n1111 41412\n9850 44411\n3366 39737\n2878 97985\n8404 65839\n38981 47011\n45860 80987\n84728 90513\n81162 87889\n10506 24767\n47977 69485\n19853 48186\n22038 59930\n33039 89841\n36683 98275\n13371 22810\n284 50434\n7742 17205\n16078 85519\n16728 40750\n61339 71176\n79970 81485\n46351 47288\n25152 70558\n3011 77173\n6122 8854\n27049 81044\n8870 62273\n62896 99431\n40492 81189\n19284 87314\n27605 38656\n13136 24908\n69583 89710\n15246 51842\n16791 57178\n22545 81379\n15312 77023\n14092 60850\n53713 69588\n23944 59226\n32247 36493\n41737 98490\n20129 98083\n60721 62651\n75919 89979\n69577 92059\n33796 54272\n1292 50807\n83831 92346\n36091 69164\n66887 78364\n1745 34655\n18534 41290\n10034 12341\n57426 66566\n44220 61401\n33426 99682\n4261 71090\n46724 72006\n37959 45750\n21882 52008\n5418 98988\n39998 63265\n42812 46817\n28239 91039\n9659 94090\n52720 57669\n11367 44024\n5882 18783\n10401 50013\n22044 52535\n11918 49914\n37910 48634\n39954 80531\n36229 77326\n38869 51924\n21773 57586\n45885 93478\n9512 86470\n13397 73096\n25436 45023\n53081 93987\n41388 64018\n8874 48613\n24983 55474\n61145 71578\n5947 64952\n42306 84654\n83706 89361\n60220 67561\n109 71193\n18196 71678\n2774 62840\n21476 80076\n35650 70424\n10660 18121\n53058 83560\n13590 14997\n8064 14971\n54225 87347\n12542 47954\n46311 61609\n13872 20759\n24008 87602\n21417 54485\n40011 92290\n1359 76414\n37961 49134\n64820 66775\n9353 92398\n38654 82522\n24183 43578\n47925 49654\n7255 22544\n47999 88679\n60058 72621\n7691 8199\n7932 69737\n19346 71567\n47784 52601\n56282 73310\n4919 42855\n55646 56881\n7984 19156\n65528 67779\n17077 34286\n35917 74352\n22752 83682\n65106 95541\n25377 43051\n39441 41041\n52986 59900\n66180 91365\n47523 50927\n51226 55476\n9811 42382\n32350 34017\n86444 98365\n23633 91505\n25647 87178\n41687 75244\n37343 95399\n8936 86596\n1880 73521\n9407 56022\n78269 94768\n5526 6182\n77259 92201\n41753 69421\n86632 87732\n26030 87507\n28194 64857\n59749 97130\n19794 84735\n13258 28693\n18925 70878\n23799 76912\n39868 51255\n26112 53336\n7744 79886\n24196 80717\n14035 78385\n25925 87248\n40657 95540\n83644 97167\n32954 38474\n50414 93807\n12521 16046\n24879 48918\n1333 27776\n2103 18759\n10841 43731\n42213 69808\n79283 86171\n10255 24907\n2748 56726\n32214 42760\n1338 58217\n26246 35564\n13120 47897\n60486 95837\n16801 94071\n64128 93686\n54310 58872\n33787 61741\n28956 62935\n77094 87982\n42419 96274\n8133 27354\n66220 95576\n49243 57480\n18717 50207\n17300 25527\n11596 25097\n26257 77929\n25190 98668\n16156 17808\n18 73394\n85488 88050\n13069 24850\n52748 59475\n23369 37925\n39013 47224\n19205 79439\n41783 49503\n44886 57354\n1362 39386\n54513 96684\n12825 37364\n55434 84334\n24290 27466\n40435 91742\n19319 94343\n32515 94095\n35379 41189\n18575 47560\n55398 82482\n5219 49426\n21914 69059\n35201 99030\n68516 90113\n6952 90494\n7991 90509\n13707 89556\n8047 71604\n28386 29613\n32961 39600\n50348 82266\n10204 81319\n7172 59782\n30264 62599\n14399 57298\n73659 98118\n59987 60509\n75459 81750\n8630 66873\n44579 54249\n3239 25652\n11755 52935\n28883 51589\n17610 27956\n20566 22090\n38944 60961\n34475 69221\n54112 98102\n16657 48080\n7871 72941\n41788 84870\n16183 49152\n35368 91870\n59877 72860\n12659 59816\n33517 79503\n9485 40588\n29523 76655\n16881 43556\n28254 78763\n78282 96642\n2245 52717\n5497 35729\n6774 80397\n38996 84092\n30443 36394\n66748 88206\n16152 33870\n62925 95388\n77148 88113\n50236 94912\n17482 34092\n23376 88142\n5224 88753\n41769 66244\n60520 97951\n37524 91941\n10628 15889\n4239 71845\n1866 72085\n15709 65579\n15281 74158\n13121 89862\n31948 82753\n23141 35850\n40440 89635\n23739 95471\n4583 46153\n25386 89035\n1821 35645\n18797 99641\n13719 22776\n79299 81567\n7868 43393\n57283 59842\n5909 96315\n63229 73193\n31879 93075\n45056 86504\n5626 16611\n77550 81736\n97238 97749\n5271 46849\n28240 92908\n17063 32126\n64882 78021\n3758 99748\n26670 40703\n22623 81695\n59266 60801\n83198 86237\n44711 93210\n355 60761\n32034 69443\n33613 72581\n1225 88145\n24866 43286\n51698 69845\n48481 97630\n6532 70050\n3711 36507\n14127 46024\n60095 85061\n8314 70964\n2356 98264\n52953 90689\n55935 58484\n49109 73417\n37057 76183\n26226 38810\n72934 99459\n35975 77467\n57355 62297\n8675 42660\n997 24587\n12416 67115\n54785 76023\n56051 69865\n20256 79398\n32188 67204\n8846 30616\n18540 85852\n45431 47287\n59501 73341\n29094 61924\n7382 48714\n64309 90766\n72322 79024\n8215 27768\n35987 93496\n4032 46013\n51888 80636\n17861 50337\n44889 46571\n28661 80776\n22781 98939\n43451 85434\n11698 82967\n26289 99346\n62091 75175\n36885 46866\n25603 31993\n1634 4639\n9012 99287\n30952 79367\n66873 98129\n50925 68953\n36056 54707\n71462 86948\n90195 95462\n16488 75437\n19086 20971\n41715 46875\n80193 84882\n35685 40187\n8420 25254\n9221 96820\n61892 65024\n10453 38238\n75730 80338\n2777 86026\n16170 44627\n9270 54761\n23803 85372\n1613 38559\n35643 71245\n11410 61587\n10270 78723\n13240 96364\n25905 41361\n3657 59046\n28652 87059\n26912 67041\n48300 75040\n18372 63424\n47970 50059\n9388 74385\n7772 88413\n41045 58486\n31805 92169\n78835 95168\n52425 94193\n1244 65869\n44230 62859\n31456 57323\n45690 76440\n40075 83844\n14942 79560\n61177 88564\n1376 63137\n24262 38490\n59908 83414\n78004 97069\n24973 36174\n42260 47810\n56378 96943\n16140 94907\n22260 99590\n52071 88666\n30811 34864\n38712 48188\n24481 28808\n69955 84737\n25869 98543\n39500 52131\n46346 52845\n44179 70082\n18728 77777\n75147 78243\n47891 95999\n9161 91001\n7241 68034\n1434 66824\n23558 89406\n32710 95483\n69966 86218\n2273 26751\n48744 77740\n30293 43130\n60744 90881\n51694 85856\n79076 84440\n2413 67429\n8323 99588\n9261 43302\n52110 75519\n38156 75701\n21997 31456\n10482 17702\n12302 35844\n34501 54393\n8161 59369\n41634 99632\n28884 87478\n28180 88421\n81386 91691\n46922 97704\n28593 64662\n87896 99540\n41061 66288\n40067 81417\n5867 18116\n3771 73132\n20684 91826\n4799 40551\n15146 36292\n12883 94211\n15897 22616\n43797 94765\n8751 64113\n39616 59510\n55099 71435\n27097 49452\n75034 99613\n15780 79369\n485 46621\n61569 68638\n7165 34754\n11512 54475\n222 85254\n6444 17690\n23905 32416\n29206 34136\n70139 92158\n19285 54218\n57797 71393\n13112 53101\n18232 92379\n4823 52527\n47259 75000\n79965 90330\n55654 81489\n61428 72200\n8646 23687\n39707 71045\n38786 42803\n30033 32820\n8358 70831\n21183 67173\n93758 95370\n26224 98680\n23507 73292\n29783 88678\n9418 60529\n50606 70729\n21524 36782\n11455 42438\n2168 80482\n13015 83504\n32700 63902\n2495 3249\n40512 53454\n44783 48688\n29129 68041\n19099 35841\n32519 44286\n9007 31774\n5051 77352\n59705 83728\n6356 13132\n38704 59711\n2017 83256\n19155 94423\n41438 77860\n69573 90264\n39769 41281\n3497 81814\n45547 84116\n34598 59827\n8747 71070\n5994 67471\n77400 91384\n23475 61964\n34373 41370\n41067 46109\n75892 95896\n5201 38536\n7777 78910\n87640 97331\n79302 87984\n54240 74662\n11940 83954\n1064 18137\n42528 48197\n7903 37520\n21151 84831\n49866 91026\n2550 93803\n28853 65414\n13043 24051\n15700 23099\n35998 60127\n14440 19432\n36628 64771\n60222 98908\n62069 81619\n36359 78857\n27235 60828\n16236 43879\n27891 31939\n46460 57846\n97001 97206\n39667 79655\n50765 90566\n63247 77633\n39835 52155\n1811 64843\n45472 83998\n29207 34890\n79274 99843\n39245 43286\n2628 44962\n6481 15951\n65495 72566\n17669 80931\n72247 81182\n42010 45330\n6451 58825\n56762 67649\n69229 86041\n8673 46977\n46291 69535\n38772 89523\n6144 46859\n33597 51664\n17749 61084\n35386 91456\n57734 73008\n19274 43295\n14882 16398\n27962 66613\n20984 32986\n11262 41122\n54764 85020\n10775 93989\n28491 93087\n56573 99367\n81937 98363\n18666 49136\n31792 65171\n28799 96227\n28733 40163\n11624 74205\n46647 85417\n63085 75041\n40381 94096\n70352 78949\n28237 77270\n11336 30780\n12939 20563\n2282 67847\n85948 93451\n31611 46284\n14767 79531\n70786 72997\n37029 73401\n38242 62272\n33839 86329\n50338 88701\n69547 85288\n45048 83137\n44151 89896\n52866 91232\n55363 92702\n11376 24985\n42558 93728\n77453 99648\n9993 57289\n1209 97112\n3082 74472\n32320 94437\n29559 43233\n26889 91657\n32695 33823\n47450 88536\n20694 57063\n24308 54721\n47403 73251\n47005 80093\n55795 66519\n8949 90487\n30561 61997\n27826 96537\n38717 66578\n84645 97923\n43489 88027\n1864 27397\n26688 99755\n16283 34188\n16119 69551\n10111 17261\n50786 69592\n14818 42340\n47824 88553\n35472 81064\n69444 74566\n14981 15059\n80020 81552\n49036 79999\n17156 39187\n16750 59685\n45180 61650\n13218 28327\n72459 84806\n51948 75102\n6881 58486\n27509 43568\n33314 43468\n30196 77156\n86285 98447\n23045 25222\n8464 53778\n67557 83764\n26805 80056\n41247 96352\n29935 95288\n13436 89715\n68729 79808\n5301 63568\n25935 84857\n3511 67646\n26388 59936\n59255 92684\n49041 85281\n42968 99146\n56343 96063\n8049 35859\n6514 46604\n86354 99527\n71594 99795\n50001 75685\n9462 38040\n2844 67248\n24092 70365\n3759 33663\n14051 81143\n34858 79561\n28832 76220\n6903 62877\n37958 84911\n19023 46292\n22821 63672\n20760 70855\n29121 61215\n24875 37536\n59869 69122\n13909 44529\n63937 87850\n31385 80236\n17414 53044\n40445 48503\n53254 76189\n5673 21195\n56046 60326\n81017 84471\n41714 64215\n73551 98931\n3729 81172\n54120 58428\n32231 94404\n14020 35415\n74065 83132\n53944 64786\n45708 78033\n21587 25404\n47954 88404\n21611 62282\n14830 53640\n14648 54390\n22694 58394\n24896 90360\n32615 38811\n9540 34277\n11182 13982\n35897 98592\n28548 29847\n9113 83254\n87721 95608\n17712 60690\n43345 57391\n29355 29665\n3608 43231\n26743 39462\n22607 58727\n63264 71583\n7762 69295\n1433 28342\n65124 70818\n37941 42206\n13282 14096\n71844 80968\n66352 78507\n23288 50643\n11138 21112\n59560 92276\n21546 40213\n3240 60560\n32574 97806\n64611 71135\n41730 80647\n49708 61639\n6813 16856\n67060 90398\n16032 56953\n18334 63767\n27975 32999\n32556 71342\n64777 91317\n48951 53484\n31304 42133\n12935 88690\n50463 96621\n51164 61977\n47011 57808\n4805 22719\n48681 94683\n25440 57227\n38322 58311\n36902 89074\n24911 50938\n46381 61048\n49761 99673\n32997 46103\n9524 73426\n19321 53454\n43251 68690\n42716 87228\n68435 70098\n34201 72996\n26244 42731\n10370 34858\n68340 88032\n70627 73862\n51448 55755\n48140 82215\n70722 84784\n46836 93179\n55537 55730\n17612 67104\n5533 8008\n8359 86289\n12840 78927\n15503 48386\n11690 99515\n50089 95866\n12019 81278\n11681 68475\n32991 69003\n43515 90839\n39867 90713\n43307 57307\n19383 28653\n62432 77958\n4082 92136\n26336 76760\n41734 44758\n16345 82545\n39328 83716\n37621 89638\n44201 86522\n45608 98667\n44810 99645\n4241 99831\n22168 23214\n69114 72385\n23515 52912\n31496 90803\n58859 71970\n55788 95503\n33971 59151\n1124 57951\n17733 62124\n22155 96584\n4127 69126\n79136 90311\n39956 71851\n42051 59787\n830 11827\n33604 63288\n17417 29808\n67677 92436\n31928 85297\n15285 27837\n82434 89462\n47417 73887\n8744 66585\n17590 55197\n65434 92005\n28777 48560\n30743 32922\n47315 69289\n39565 58814\n59355 63724\n55764 74245\n57161 84745\n67360 95892\n23363 35177\n15539 54618\n38804 59070\n13252 19729\n26297 78864\n49492 49561\n93051 94716\n43283 49284\n43534 56973\n57605 81925\n24706 56616\n6965 92558\n58799 61730\n88282 99727\n12442 83028\n78259 89078\n81985 92800\n9657 49001\n88953 89926\n83555 90271\n4287 13092\n46182 60476\n23959 86939\n28343 42835\n13227 94260\n27430 90925\n60646 90771\n40136 84403\n10913 96160\n17866 69713\n7400 79744\n3583 95117\n25947 50008\n34582 66658\n37744 40764\n14743 49716\n14958 48837\n74261 92110\n25627 97651\n46255 79962\n52553 92920\n47209 92674\n22741 43736\n15786 95742\n24471 53195\n3029 95818\n13995 75084\n21925 30257\n1816 6426\n14620 62474\n22409 67128\n53986 66154\n55890 60286\n21644 60606\n24329 95303\n25109 98383\n18890 98302\n17870 89249\n82312 87553\n41590 76334\n21729 63920\n23130 80181\n34554 42287\n66000 99880\n18196 44204\n4196 12079\n26930 76716\n59358 93704\n69677 79733\n76034 83981\n2104 87214\n45087 97620\n68863 99294\n50746 93556\n1890 36881\n19296 86695\n23305 82053\n9027 49223\n10520 96946\n56303 93547\n18378 43378\n21512 27997\n49263 53564\n38974 40796\n22684 90285\n67448 98818\n29826 46920\n28159 61967\n18343 79004\n26433 95736\n37673 75481\n26028 92800\n27069 69534\n4409 25320\n45249 49050\n59623 80231\n19408 50799\n65582 78441\n36753 99551\n24771 26084\n48780 68656\n32045 79532\n63577 95701\n26154 67861\n84512 95997\n7914 27273\n30682 76507\n49620 57657\n35635 60415\n63891 82510\n30315 52912\n62835 79607\n9982 86494\n11129 85675\n7361 49545\n33522 92213\n16520 53645\n12367 23935\n47774 74092\n47637 84345\n2883 88331\n59233 85713\n12036 83442\n47324 52671\n12039 44607\n27921 32140\n14637 35295\n38908 49182\n6908 18129\n353 59930\n43533 52085\n27203 43871\n3900 94770\n78965 99392\n43367 94648\n18453 92068\n29965 85889\n81288 97119\n14299 19592\n46791 55354\n57651 66491\n67482 73529\n27922 92534\n1975 47957\n46164 60216\n61145 98109\n12110 90794\n5576 53193\n13399 78680\n47722 86153\n171 41554\n23843 44835\n7094 94601\n23013 64095\n16570 80379\n13398 82801\n13415 30522\n44589 89960\n65888 78299\n60940 84558\n36322 71005\n7905 49933\n68954 75131\n48040 78563\n41076 76273\n2396 55984\n7874 43219\n986 66236\n19353 50409\n42583 87229\n38219 82813\n56792 86552\n4853 6112\n28333 39336\n39542 54715\n23800 63039\n68052 83142\n11972 65810\n4525 23202\n2613 30898\n21721 24716\n37879 95713\n19320 38809\n42351 73328\n2668 71536\n46350 59225\n16875 44157\n17520 75590\n18861 51754\n5435 90552\n28715 98527\n9161 43090\n1153 96922\n68236 94886\n64838 80890\n18695 54760\n29739 67429\n19063 73165\n19634 42097\n30187 69946\n43525 57680\n13231 14035\n56707 88313\n50830 63885\n81344 82947\n25258 61998\n54873 73755\n1356 24565\n19695 96446\n45239 76364\n61940 77583\n21170 24851\n39390 94342\n36408 66857\n14475 29649\n10010 88220\n54383 58820\n33580 44992\n19180 71091\n49287 62741\n77563 77695\n2896 95512\n78925 82226\n21799 99916\n1532 99037\n16667 97721\n26274 88182\n357 44133\n40644 49320\n46290 87081\n39217 97894\n11806 85932\n32942 69210\n13937 21318\n27056 58360\n49925 89980\n54310 55526\n38195 57695\n44206 61844\n47739 78200\n9684 94022\n9606 63041\n91591 98986\n12987 44275\n44517 47635\n32287 63276\n29642 83599\n12128 38568\n45870 74880\n20479 40272\n41108 75457\n25765 87813\n65678 90383\n38835 86408\n34241 64304\n49889 68279\n57223 89689\n48764 84875\n7498 69942\n5386 85682\n32193 42388\n65729 90524\n28132 67064\n69443 75219\n25340 37766\n67000 71500\n8679 11581\n47414 72767\n12638 15792\n4468 58953\n81239 99459\n17959 49376\n58533 61360\n67994 86120\n19881 32955\n55558 59546\n13028 17576\n65011 96722\n38925 97278\n7483 88140\n30077 75588\n2839 34143\n33485 70175\n39687 54211\n4001 70730\n22701 23267\n1915 71714\n87618 91674\n16994 68477\n28201 78475\n34845 42679\n47368 50343\n46639 79502\n48731 69761\n24574 73914\n38484 79437\n5898 75503\n66955 80983\n57897 95091\n1717 23556\n3031 70905\n21785 99289\n32759 50036\n70545 81724\n16106 43631\n7547 21712\n41917 49878\n22217 59212\n44175 69056\n7557 61834\n63000 76496\n61842 89297\n30544 64622\n49530 97849\n5111 22893\n57730 66190\n66466 85215\n1419 19380\n80142 83739\n48301 60259\n12467 95268\n53064 89720\n52456 83690\n11842 61665\n1906 93390\n2342 95704\n42621 70234\n37269 64293\n45334 73156\n70634 94779\n41761 70677\n1638 73201\n76046 76437\n58357 71335\n11022 51015\n56818 65935\n12380 70321\n65995 92631\n41134 95683\n17442 61682\n17210 27652\n49988 78785\n51438 73319\n44786 48369\n44821 73064\n12204 14216\n72782 82281\n8127 53392\n40563 79958\n39682 62075\n31513 77436\n14788 75517\n23258 89192\n22309 41301\n15512 88460\n62093 96198\n30196 32035\n4419 38710\n17281 74802\n74366 89109\n26002 87553\n19265 60759\n45444 74239\n53910 90194\n7730 32634\n729 92371\n53493 94052\n46630 72506\n32131 55093\n12886 31939\n90620 90766\n11914 67784\n28205 56506\n24887 55037\n15251 32142\n6154 10510\n54151 65317\n61544 90482\n86965 94828\n33138 86383\n66821 69542\n54970 87778\n77501 95910\n6414 27093\n28205 42028\n27642 78218\n76676 81753\n13192 80548\n4908 32125\n25651 87146\n32681 84447\n16112 51403\n53638 93826\n51745 70571\n68722 96622\n8952 57739\n53129 71896\n64420 80666\n63951 96958\n18319 18740\n25420 79466\n50900 53798\n26573 70443\n13112 64012\n6835 12487\n68996 84730\n1766 88152\n54601 70113\n4807 71024\n96821 99871\n52959 81574\n64682 88955\n62474 69241\n57630 73761\n7480 46638\n29304 46619\n17802 86567\n29478 80872\n64984 95699\n13017 51644\n44619 66445\n20405 59815\n32406 87133\n10842 45565\n53881 55746\n28318 98369\n40130 65112\n12021 54670\n44185 64444\n6978 8392\n57648 80758\n6150 42672\n31675 85345\n31602 61711\n63056 80010\n15197 83084\n13161 31516\n5291 12845\n67315 98472\n68378 68773\n12196 24026\n23392 87696\n67503 77568\n30317 98455\n45406 84925\n5476 93354\n8115 51387\n76382 93387\n17743 76528\n23414 87409\n53021 53174\n11620 45276\n22816 34495\n26165 94230\n87128 87434\n39624 84745\n24989 67347\n55693 82965\n44504 74661\n42259 83424\n42769 68148\n54519 83390\n277 52668\n21618 39759\n9594 84557\n41248 72348\n41234 84663\n38180 58175\n4301 14391\n18249 18668\n18964 60901\n59581 71975\n58888 86017\n68776 70806\n58174 89580\n4821 87936\n20235 73706\n68807 84748\n17460 70866\n21263 67671\n65378 86630\n30137 37515\n55726 84511\n2914 47997\n37609 46409\n52223 77479\n57973 66066\n64567 97199\n5510 49320\n18465 48649\n89073 96138\n29205 86704\n15077 59053\n45920 66006\n29326 71054\n56391 96153\n12905 31391\n51676 68776\n40634 98250\n29764 48098\n58219 94673\n51046 85644\n21989 41978\n13700 81429\n22172 47261\n16062 53347\n53103 72972\n17178 53442\n12152 90764\n1366 43929\n50003 62483\n14855 46908\n748 53630\n34531 77891\n26619 31688\n3077 4462\n22350 98443\n40321 45031\n4774 55249\n19463 38312\n9066 51448\n4463 87647\n16557 95796\n54491 94485\n72367 72984\n35335 98838\n73340 73685\n29425 98683\n4116 89929\n62352 63891\n14796 94459\n2942 68832\n12754 81378\n33146 47338\n2760 97359\n29336 56724\n27043 73073\n2625 43469\n11915 17611\n42909 45106\n69094 80525\n80012 99085\n47430 52450\n23806 24258\n25796 55286\n55610 82711\n11033 16983\n31029 51172\n43502 99117\n20792 71787\n36705 98466\n10291 72294\n76197 86571\n6518 20247\n23111 36832\n37191 56895\n14467 24065\n2264 35720\n31054 91348\n53476 82696\n66516 75133\n57847 59778\n50793 58773\n37771 86068\n52638 86892\n16121 24732\n33634 91306\n59302 86872\n36867 57879\n78477 80716\n14407 50165\n34079 60881\n73048 78049\n26588 97708\n24094 26869\n15765 74477\n1793 70381\n61605 87120\n487 98190\n27132 71985\n4790 43998\n43305 96521\n20722 24573\n20048 45863\n7847 19336\n57790 78497\n75414 88118\n12229 37223\n49534 97663\n54359 68462\n28594 96881\n57016 78323\n54488 89301\n637 76591\n26828 99854\n36037 45554\n9209 58190\n20482 22552\n16872 56537\n61125 80273\n80438 90399\n19502 40484\n62221 90825\n8072 23635\n16555 58964\n37513 50088\n40742 95547\n53140 87859\n22722 30301\n26128 64561\n72756 78514\n53599 59090\n27529 99723\n15798 28385\n11834 70186\n27642 75686\n14619 98783\n32515 85412\n67884 93562\n10844 21894\n25531 94086\n27559 78417\n3730 31475\n1025 85340\n14275 69316\n14928 84249\n90934 98404\n57966 90310\n3056 52835\n13173 49225\n14324 81311\n5681 35440\n40769 86043\n46036 67001\n15687 45594\n41671 88902\n69054 79716\n49948 66198\n20086 61106\n28221 77933\n10920 18748\n16609 63929\n26346 79513\n3316 22038\n38523 80738\n16875 64217\n73254 93011\n70751 82727\n47217 79081\n14453 82149\n43223 63689\n50838 63243\n14747 67006\n42621 54747\n6581 28219\n10531 85757\n8679 43690\n5297 22360\n1527 41215\n19244 33602\n45803 87229\n50543 67848\n54747 75842\n21850 57989\n33777 68697\n2426 43228\n34402 92697\n69002 97794\n9773 56920\n58329 64716\n7221 77242\n70832 97295\n11842 13480\n45755 66162\n33296 80729\n8364 65456\n11412 56519\n3698 12559\n4114 16100\n60374 75340\n20609 55938\n45479 53410\n51584 68002\n10543 28448\n62543 63350\n70111 92951\n3075 85589\n16452 74125\n18230 85963\n39915 98544\n58600 65303\n65912 86110\n6428 91676\n33357 40892\n6854 73991\n4271 32074\n22973 28417\n17726 59517\n52477 98875\n55311 84602\n56614 90005\n11698 37656\n23161 97938\n40408 97360\n41725 97451\n2118 45862\n36809 83723\n4601 18326\n3295 59461\n72893 94131\n22531 37415\n49906 66092\n22031 39194\n68521 93535\n15540 22891\n43571 46971\n44724 74988\n27569 56038\n29856 45797\n29867 77943\n22153 38363\n68229 79014\n31195 95603\n42770 66753\n47374 71500\n65517 97472\n23937 61635\n52341 52625\n14184 64327\n50388 90235\n5926 96482\n72804 83397\n21873 75073\n86828 92149\n33788 66770\n33354 40286\n19132 96231\n5105 78645\n4166 39460\n24189 75053\n37522 60832\n36146 96204\n47344 64561\n57408 93458\n62614 97250\n80114 83465\n31192 66506\n61820 94150\n16451 88216\n23364 87810\n61135 96050\n39059 85199\n47484 92746\n3148 16743\n10047 10689\n53545 95748\n55304 83414\n13251 21981\n12698 63868\n53905 88509\n53026 72955\n21095 89144\n15973 47916\n75370 90036\n27286 73088\n23060 79800\n31079 99388\n40819 58581\n52396 82010\n49885 97724\n29045 37936\n36255 94042\n1313 28090\n42049 66517\n200 63685\n29494 66644\n9611 99755\n47973 91295\n59047 76778\n63258 71169\n73721 79709\n14254 28756\n26202 84496\n11213 59294\n17936 21283\n16188 71290\n90634 94990\n45784 91843\n84087 93150\n38036 47303\n45757 51177\n1078 94003\n63019 90823\n9357 23458\n30074 52821\n14715 59596\n32954 58461\n87032 98296\n52643 93084\n827 22578\n62395 81200\n54351 88602\n75272 98524\n16046 68949\n32385 47741\n49207 84226\n36589 61021\n27341 88248\n54235 64493\n16944 32351\n718 80495\n41943 79654\n10487 22577\n22693 83752\n18018 27249\n27247 60663\n35678 78679\n18368 44473\n51590 61875\n12741 40201\n24209 66825\n2261 36341\n1401 91073\n9696 47589\n3956 66463\n6998 19891\n30244 75089\n49738 71194\n8914 94465\n55112 65343\n28121 87381\n36737 72793\n25465 89881\n62894 85782\n14659 37445\n38442 54264\n11393 57005\n25684 65315\n43007 66074\n35459 85564\n29938 66162\n29324 51335\n33000 46441\n82537 85267\n14380 40192\n7299 78237\n16365 98777\n62141 94365\n42849 88942\n42492 53536\n6105 59250\n56767 81465\n44922 76111\n72184 84817\n5972 10973\n5559 39444\n49650 80255\n6605 73081\n6476 26974\n82006 82185\n58734 80203\n23056 30727\n69389 99422\n21863 50199\n11645 44979\n9532 10534\n2755 90134\n38584 84338\n8923 12072\n40421 42033\n23782 92687\n2242 17931\n33230 53706\n30524 82036\n10574 59018\n73994 76061\n85198 91380\n56897 81150\n40143 45047\n19206 71569\n16790 66803\n4233 18308\n28826 43498\n10879 53720\n21464 32463\n64485 88040\n60715 91854\n23025 98232\n67496 97692\n13526 90322\n28569 74239\n36597 44694\n28510 80360\n29534 34716\n74784 78849\n84596 96816\n15375 49146\n24048 28318\n20707 88571\n77591 86433\n54872 86370\n19485 34191\n21257 21786\n966 23736\n11213 65140\n56026 94425\n9354 25177\n18174 83931\n28891 91145\n51323 52057\n74571 93933\n18999 75683\n16279 45648\n56681 74436\n3878 92594\n26399 87615\n11384 76489\n3889 33512\n55214 69060\n724 89507\n4780 35169\n343 81092\n69836 80550\n35004 52875\n3838 12191\n66093 95279\n753 4486\n5931 86872\n33781 47776\n85409 90332\n6440 99239\n64334 92462\n850 21263\n64915 83822\n6809 22448\n35474 67694\n41098 57344\n20902 25782\n35008 60626\n58389 97082\n45927 77869\n16571 45394\n6596 13795\n28236 47504\n67312 88970\n75709 81677\n28280 63917\n12241 94216\n72779 77236\n9717 52959\n37799 88461\n8162 97430\n548 58352\n29687 61273\n80601 96997\n10041 22688\n28736 33769\n33598 99925\n65059 69870\n30250 46684\n40306 85023\n65511 67377\n55765 71919\n303 67213\n6536 69399\n7657 51547\n39085 91794\n43313 60415\n30496 90950\n5245 60348\n89708 96456\n16189 94154\n20463 93116\n12924 14140\n26560 79064\n35896 77490\n10783 94743\n71508 72697\n21373 54294\n29229 38707\n63211 63576\n32881 46644\n26347 62584\n43032 46933\n49380 65011\n9495 46424\n26171 39763\n56668 83977\n55972 71476\n3110 75062\n71942 85084\n39441 71777\n34008 71946\n10849 72858\n27037 47760\n83115 86666\n19902 57353\n18635 33682\n50071 80190\n34624 69017\n44416 68386\n42134 58775\n35235 78971\n37472 70128\n54112 55157\n34595 82311\n38329 76381\n24050 80815\n24184 30012\n32897 82493\n49141 76110\n5228 76171\n21212 53767\n48902 61524\n28927 72466\n63257 65130\n52101 81943\n22295 60701\n49694 92847\n6838 87685\n43004 92645\n40030 80695\n49637 75658\n22802 95301\n12302 49265\n20279 67128\n14393 76771\n55621 57532\n55616 66301\n14584 68606\n36186 94835\n16412 55974\n23958 86321\n13120 36144\n43706 98760\n60744 64385\n60686 83774\n28238 38461\n25824 96028\n83746 88625\n68313 92540\n64146 93260\n69448 97114\n64719 80281\n43923 82299\n25571 71873\n19612 55501\n34923 71465\n4661 15508\n12503 62389\n43975 76299\n63947 69773\n41197 94810\n8437 22552\n12751 80613\n80477 83737\n4633 35315\n39044 63672\n52285 82429\n70135 76210\n52441 82520\n17296 60769\n7142 79591\n73757 82470\n6456 55975\n56319 85696\n4334 10653\n2560 89169\n87082 95902\n28714 76852\n20273 62335\n34970 64640\n25751 33717\n31371 72358\n78163 96994\n37932 84709\n34076 48332\n40075 41032\n2042 67846\n27885 98265\n2928 4525\n32883 62274\n15876 61944\n57065 90136\n24283 30736\n73887 87370\n11334 74768\n12068 38999\n29171 45513\n4585 86412\n15170 33490\n25591 90959\n15907 70989\n10365 45154\n31875 47260\n16155 27525\n76916 93075\n49235 80847\n19582 45555\n21971 33955\n74558 81995\n49287 54102\n48194 56258\n38371 81708\n48373 65605\n7844 50900\n24569 39969\n62681 68316\n42145 90203\n78966 94350\n23345 45942\n13090 47491\n17716 61333\n9415 16437\n66619 82752\n36666 53892\n65066 74490\n59002 93345\n34561 61165\n15898 54832\n56140 59983\n12831 25227\n2272 74308\n42777 98718\n4546 4938\n9551 45359\n32071 38545\n4263 83020\n44539 45246\n45721 46648\n39795 70461\n12276 42233\n74828 90778\n54966 77131\n7548 8594\n31702 34427\n85070 92195\n32076 68100\n32980 77172\n11951 92364\n24553 34845\n3908 10707\n21745 86583\n84458 87696\n49844 82360\n17814 57757\n36920 54666\n21376 87330\n1479 18713\n61524 79546\n14162 16524\n5777 77251\n56738 94613\n36970 72011\n9908 95136\n8415 37104\n25615 27918\n26417 92916\n50629 99204\n10699 75659\n31936 94705\n2543 4509\n72254 81529\n49581 85500\n7189 17974\n19507 48243\n30832 32131\n3361 77533\n60966 75783\n23772 95069\n488 3150\n76801 80798\n33167 73635\n45603 53725\n34662 93811\n37326 47108\n15026 59742\n21591 59322\n11035 96206\n11221 97276\n23301 43892\n75848 91126\n17609 47203\n56328 57894\n20534 31644\n18174 51562\n22590 94236\n14353 43530\n15615 95416\n37490 65793\n26042 42267\n24826 35136\n19948 53267\n11000 24165\n38818 42091\n52324 78982\n7572 66711\n38436 44657\n24873 29507\n26267 55445\n5405 5823\n54403 97494\n12447 35725\n1465 10051\n26362 59275\n80979 91134\n21682 81657\n10269 37190\n28197 93081\n73831 96559\n43879 88318\n8924 98523\n46712 72709\n22293 75688\n91094 95698\n30026 35342\n33937 51732\n43528 57777\n2108 51994\n17470 69559\n22700 86173\n20917 44938\n18737 37134\n19474 65423\n22869 96353\n70719 96950\n19249 74500\n38961 43446\n8495 17184\n59647 97496\n48302 50635\n9073 13089\n3883 32153\n18246 86406\n28659 29025\n70782 77021\n55090 77217\n32868 64514\n29714 48364\n29 5472\n22190 34621\n16282 48066\n67279 86774\n21739 41079\n47417 60968\n56531 85793\n47647 83891\n4466 23301\n85663 87433\n966 23535\n2078 73540\n24525 54141\n11940 55056\n67763 94931\n21017 57482\n26398 98933\n62807 72711\n9855 41131\n4750 20183\n6389 51502\n50175 75072\n67693 95219\n21512 35818\n27897 90690\n10035 52382\n3330 16542\n25850 66809\n70389 97589\n51227 72474\n12349 99713\n78555 87649\n29863 36707\n20943 49641\n3115 22608\n894 50983\n63816 78082\n15500 56845\n58574 82237\n8341 87360\n17191 88189\n29507 32836\n50182 87581\n74550 78753\n8494 83899\n30780 73195\n59125 93977\n1882 17113\n8129 48699\n15171 46574\n38481 41874\n7693 39733\n21570 27578\n50904 98063\n28698 53032\n915 33051\n22451 69593\n27915 75360\n41318 90071\n15727 86378\n75071 89381\n57834 86202\n12871 39312\n22575 94015\n30402 83379\n40996 81940\n17729 94989\n17213 71999\n5759 10181\n3104 22601\n29015 69539\n12586 60404\n35017 95739\n36909 54824\n7512 95401\n15597 94666\n14404 83184\n946 21136\n6668 29518\n3265 79077\n53400 88167\n6209 83926\n35942 83446\n43178 80480\n5255 91005\n66562 91072\n1353 48864\n1046 19904\n24810 79923\n42126 43407\n42548 53274\n23213 23433\n73341 82674\n78104 95133\n46016 65756\n36342 43899\n32335 50876\n4753 23648\n45294 84649\n97899 99814\n1403 74201\n34687 99700\n45099 88399\n24089 57854\n8804 59160\n22615 27243\n52456 97794\n33389 58978\n4886 37536\n87181 99599\n5141 24444\n11891 48218\n86566 88266\n10783 17271\n19172 27731\n56941 92845\n75300 79346\n403 19778\n30205 37431\n21135 82869\n55863 87724\n30906 92741\n31430 90922\n11325 85160\n28649 83269\n12784 93263\n208 57874\n36939 49333\n20226 30884\n17252 35488\n5171 60401\n15581 94930\n3292 50052\n16305 34119\n18764 47104\n81278 88739\n11081 17425\n36768 72794\n63057 70557\n70761 79508\n30618 85542\n40111 50286\n956 47816\n506 87468\n44618 51255\n14234 61585\n40382 80357\n53237 91240\n34059 51977\n24387 91954\n1321 1661\n20726 77748\n24145 38694\n14195 47979\n40305 40693\n17476 61217\n21166 49400\n30921 84152\n38820 93263\n57732 71937\n18117 68819\n22470 41123\n8631 73158\n80855 94084\n48093 64916\n81273 84775\n39034 57622\n50964 70958\n32612 67015\n40445 65727\n16357 51978\n95119 95627\n37521 45017\n39233 97378\n4739 22024\n25694 76289\n19139 27475\n25504 60718\n44632 66464\n70360 99755\n62821 75113\n44403 55855\n15766 68343\n26251 43841\n12982 29559\n11851 17244\n71510 83720\n25757 74001\n6729 58508\n38503 98315\n17045 96683\n20082 60266\n54905 98093\n50880 87480\n32770 36873\n36330 55560\n7190 77040\n17861 69346\n10562 96371\n11729 53318\n11279 63484\n2099 50056\n8363 96315\n7735 62934\n6576 14917\n6279 47605\n77651 77714\n62801 84885\n12939 82642\n72299 84285\n5059 53467\n58819 68399\n2124 80486\n57599 95031\n81575 83707\n36968 84076\n68961 90587\n28198 47611\n3873 19314\n8714 97021\n34117 85489\n25587 79276\n70716 95381\n48049 66967\n25886 83248\n14680 28856\n15171 45392\n31944 68859\n25092 92521\n14221 88224\n35369 54044\n9444 39644\n67276 78046\n70289 86894\n12979 18356\n12 84809\n81528 94145\n53059 85164\n36902 71596\n75391 87074\n82297 90641\n13086 53977\n68439 91724\n23748 91298\n17870 25911\n8772 72924\n20989 64290\n45386 65369\n3052 55572\n1153 98233\n55196 95160\n21921 56837\n63255 97545\n72494 84302\n31842 70607\n18410 46809\n10596 75879\n67543 72657\n67695 71778\n67886 76437\n54319 88182\n31307 80005\n23782 81185\n38662 83645\n10127 46406\n14848 87103\n36516 73457\n51519 71725\n69365 69781\n44003 97810\n43493 66250\n11103 93092\n11092 50140\n41183 47148\n16104 64123\n32556 68225\n29476 49788\n57841 89011\n65955 78224\n65287 69161\n50791 59054\n80765 98119\n6543 45790\n12595 31592\n61414 74722\n40153 62369\n27484 54523\n2338 59547\n4543 40083\n6765 61664\n58500 74600\n46954 54161\n78615 90977\n37004 77342\n22907 74192\n34881 35473\n45974 48342\n47571 93041\n59714 80274\n15356 85571\n59386 61874\n48998 63231\n6031 98004\n66322 82588\n17668 58384\n7324 11640\n32127 81051\n32569 67533\n79439 88542\n10364 68030\n21515 61334\n86643 88648\n22753 94161\n13175 16018\n31130 83324\n24142 76996\n81323 94386\n18513 93854\n802 87629\n53410 54385\n47692 62211\n26525 35793\n12879 43854\n41820 73022\n702 91228\n43172 99105\n44557 50158\n12039 83292\n62823 93169\n10168 71615\n57150 96169\n32722 38386\n23742 36383\n32584 68217\n60176 67938\n1171 12915\n1236 42125\n17613 79116\n89074 93356\n50578 92323\n32575 51873\n40516 80850\n45161 96371\n13917 46375\n1803 90844\n2349 92128\n32150 56856\n51051 62141\n81468 85656\n9479 58841\n49343 52294\n51012 86514\n82384 88978\n44167 44717\n30373 91967\n22283 69901\n1216 89468\n22108 83935\n10344 58259\n34713 49631\n68024 97385\n18810 58178\n4409 56318\n47626 89332\n53736 68479\n5131 51086\n6023 36461\n2479 7117\n44951 67007\n29853 49635\n15627 19118\n47704 86674\n71165 73141\n12693 73469\n27781 28616\n12435 51944\n45601 89950\n14319 24880\n84654 92458\n53457 77833\n51088 95936\n21600 88081\n49769 85862\n22085 44677\n11802 92256\n54174 62617\n31546 58331\n38317 44349\n58246 96058\n66040 83657\n11277 49463\n13932 65589\n50923 78737\n1903 61380\n26560 32516\n2780 84623\n1604 26626\n59842 88232\n533 87027\n53861 57369\n25706 93633\n71840 87260\n46904 53821\n46849 92498\n35227 71843\n20494 72519\n12303 25123\n34342 52968\n10386 84949\n49755 78932\n76582 93288\n30731 54562\n32706 74432\n7681 94865\n3961 36656\n5585 85858\n14894 28704\n48792 76458\n45691 61961\n49408 92963\n67855 91352\n11304 38107\n40042 85002\n2236 65723\n9102 53757\n56584 68036\n39416 67106\n25438 32981\n8714 12138\n7774 23786\n66149 93111\n20148 82396\n62273 88289\n17879 88379\n27879 59693\n24065 48572\n17200 43253\n25556 47495\n10304 17911\n6191 86408\n49152 79064\n35056 51087\n22279 30451\n42348 81710\n53426 75368\n31932 89869\n17070 92450\n51360 75178\n3650 66784\n57732 65450\n46879 50367\n67136 99669\n63509 97220\n29536 91724\n52346 79792\n44951 60775\n18561 93970\n50677 92713\n11794 76455\n14321 27261\n63646 89624\n63311 76108\n29177 63861\n48953 82214\n21677 37997\n3097 16479\n8109 45469\n63921 84445\n23064 36553\n63580 87710\n20966 66975\n66916 86989\n44824 95977\n23811 83581\n16519 90303\n43196 82747\n1792 72016\n64483 85147\n11738 40936\n30920 89078\n19591 27469\n41963 48301\n7171 10465\n21098 45312\n45125 94416\n45432 95031\n25147 33621\n26687 58417\n8563 12616\n11204 50727\n55147 60670\n19488 23292\n13629 97507\n19074 99286\n4515 36804\n52654 59970\n37590 70693\n49380 80056\n26286 71709\n47068 62694\n33418 61545\n15634 21681\n10503 75326\n82296 95118\n32597 91917\n22982 37841\n53107 92510\n4480 42107\n20390 56342\n55506 82752\n23411 52178\n23450 30019\n28512 60352\n618 26500\n4244 90396\n89986 92948\n4257 77603\n6151 77962\n13825 24464\n71231 93697\n41093 90152\n25925 26467\n1794 83506\n17498 76391\n9492 96814\n10001 64919\n5922 44304\n37244 43414\n7520 30680\n19589 33223\n34952 95136\n2472 53270\n9192 55565\n7319 76825\n20870 57957\n76015 95068\n62179 96911\n47978 73802\n24474 42746\n42132 79655\n38047 59682\n78691 87351\n16304 99164\n18056 69979\n4369 29865\n20333 50312\n4759 90179\n33244 61832\n35453 73928\n34268 36778\n35489 78518\n57761 91904\n26871 66874\n20547 47417\n15590 84285\n13476 26167\n10764 29293\n3081 52840\n6663 54537\n53825 85290\n91909 97104\n73169 92509\n31987 59103\n63395 89456\n53530 59869\n39845 48766\n17805 25910\n12774 65274\n56550 86477\n33159 58168\n76685 81860\n53945 93402\n10422 74581\n12162 96708\n76888 89100\n48585 52479\n31980 41032\n53733 93420\n59363 84957\n25649 82799\n2496 80482\n3206 62749\n21813 53473\n16606 85292\n5981 89172\n2810 62697\n43137 94772\n46663 99442\n1892 24309\n22351 76893\n21666 86964\n27043 61284\n15687 98243\n77514 84308\n74787 93064\n9543 39635\n57823 85885\n43002 58855\n58813 63106\n34817 48624\n46946 96086\n4249 48995\n51444 52856\n4160 45220\n6210 40770\n16330 95243\n44071 62916\n5273 26975\n20656 86491\n31066 61108\n14607 23057\n65362 87325\n7228 63468\n77461 97364\n20598 88921\n37149 43872\n25346 77766\n4241 86298\n37165 94187\n31 47224\n4113 40938\n52428 65053\n51908 57017\n38578 46829\n3687 9667\n11547 20442\n2680 98406\n886 79675\n36789 89429\n43330 73853\n8082 97278\n32357 98067\n2748 49021\n35523 77360\n67893 68631\n974 19262\n80044 95859\n3282 91171\n35703 68730\n43358 78653\n12531 80369\n23286 72317\n72229 88521\n3976 96388\n44707 60094\n42759 88798\n611 57862\n49802 94564\n6540 16990\n27706 66012\n55188 82731\n5999 65566\n11626 77544\n27907 78161\n18516 50683\n4037 72266\n37801 52463\n75730 87309\n16812 38462\n26327 46246\n4316 34935\n9859 84928\n12833 35422\n8094 63199\n61293 70928\n42914 69479\n9399 93201\n69514 84969\n48876 92201\n21933 42331\n19559 82066\n50524 95996\n39878 96478\n14585 17112\n47466 71248\n3931 74039\n5196 41936\n5514 48526\n490 28288\n23341 70972\n11995 15895\n15942 19450\n4883 31247\n13979 19665\n19739 63516\n23746 41005\n70692 94629\n49835 65914\n15534 49566\n914 61486\n39106 80303\n57369 82501\n7262 89891\n86371 90366\n80636 88104\n40004 89327\n63871 82775\n18944 90369\n36355 63563\n43758 80131\n41975 55656\n7848 80331\n27520 29269\n55355 98894\n90090 92880\n56069 81628\n57123 79805\n40670 42632\n44025 79797\n16951 69610\n35568 70117\n22259 57460\n25295 68362\n37061 50353\n19991 33604\n65157 91333\n78931 79891\n59696 60090\n43879 55609\n63824 68768\n33648 65460\n30162 74376\n40079 57425\n27144 70200\n76863 78359\n35141 99719\n3551 93196\n7430 13392\n24454 56541\n16987 19482\n30671 77307\n18439 57609\n2241 84272\n18192 43693\n60452 99387\n53403 77298\n13905 44858\n4385 14987\n46387 88529\n90595 99836\n21290 73439\n18728 28278\n14399 79044\n50618 54758\n1700 76389\n36705 58415\n53039 54439\n70436 77315\n6534 53862\n5959 18270\n23229 51929\n62660 97580\n31229 61705\n77430 95322\n36145 72901\n9711 80359\n69736 87653\n45509 80417\n89951 98211\n19539 83353\n18916 54521\n3447 4754\n21511 99459\n19408 65432\n71752 95947\n27506 92265\n60826 96375\n35752 73039\n25943 47310\n30400 62823\n13336 95679\n65567 66101\n20858 91707\n9054 46648\n52797 96237\n47011 65065\n10852 88847\n37193 78648\n11350 56333\n23814 32891\n16620 22653\n69172 71449\n13084 28239\n4079 13748\n33574 49210\n9702 82774\n44372 72096\n26587 85060\n56316 93167\n14147 20708\n12932 29348\n13089 84346\n12887 42545\n5986 79739\n39793 68301\n2388 18087\n50411 77084\n10809 36876\n49481 55056\n16575 18485\n6648 68206\n5125 62713\n28166 39001\n44814 55836\n40270 97988\n30472 39575\n13064 76672\n42323 51709\n19513 68148\n2930 84812\n37142 41653\n57437 78514\n8624 33655\n50545 54456\n10931 92892\n2370 59168\n62190 95930\n53261 80727\n12283 25044\n61708 73208\n56533 83208\n25881 78232\n25018 56179\n30938 47493\n27605 30823\n61231 70493\n11855 82043\n77010 97325\n34775 62579\n76474 78507\n8257 64914\n18014 37143\n41194 94325\n4937 75070\n33205 52196\n64811 66016\n2363 77296\n43732 90686\n9179 86397\n67997 98631\n20387 21829\n2715 21602\n57739 95068\n9912 82791\n16760 22460\n11918 84348\n3622 86606\n34464 64079\n594 31592\n59496 71997\n84101 98742\n26174 45698\n15878 94379\n55028 64643\n11273 51903\n18992 25642\n15137 68145\n24339 52587\n82934 92521\n28203 30097\n37570 99448\n35519 98840\n5743 7381\n31607 34837\n61354 77004\n14886 91091\n25090 84463\n35016 39383\n76848 91352\n50948 91357\n21432 64738\n81944 96429\n25936 95118\n18501 69954\n77244 93739\n2496 44817\n24968 51393\n52919 84720\n3781 7983\n43949 90853\n53033 86267\n93759 97529\n19222 59814\n6268 42336\n1834 31121\n6329 96238\n23834 36639\n40513 42446\n40747 52716\n24608 50675\n16506 48182\n26562 46754\n50711 55859\n4067 53171\n18906 93646\n26035 88675\n44646 68270\n39810 72871\n12183 24643\n69488 89446\n46156 70822\n69779 82784\n30716 65663\n26993 92554\n8703 26499\n19699 45961\n38298 89555\n22672 64336\n12245 20492\n56599 77778\n13172 43419\n706 91354\n12843 88555\n11132 98386\n52480 87828\n80358 96386\n11200 45285\n1351 50046\n44425 54752\n4661 89327\n213 71798\n9269 46367\n18111 56063\n3051 65337\n37307 77005\n28850 37073\n82663 85022\n54920 84024\n37784 41657\n28923 30317\n16139 34491\n47963 59300\n20231 44482\n15603 80720\n53110 75995\n14593 86661\n23240 69940\n28576 59920\n65994 74716\n30386 96710\n35013 53393\n35425 46229\n37916 44326\n23020 55790\n39855 48100\n62184 77338\n35980 59179\n69864 80498\n52400 79673\n25157 35975\n69792 71417\n95678 98801\n62352 88724\n30760 73553\n25090 61746\n48548 72619\n29268 95825\n26895 83984\n84206 88834\n674 37798\n20406 76323\n64958 66332\n61883 93230\n11688 53027\n45085 53252\n10226 37443\n84126 84593\n45339 89881\n69889 79453\n7086 77418\n51881 93412\n4450 63147\n17049 82864\n15427 21073\n32231 89938\n81539 82975\n83159 99906\n30651 88554\n38114 65708\n20378 43413\n17129 67410\n8862 75465\n68615 98248\n48936 77580\n2056 6735\n33727 43623\n16649 17813\n52008 60675\n40610 81557\n74223 80224\n18231 39510\n3270 99153\n41696 44993\n40936 63982\n33062 59905\n97964 98701\n11606 77768\n33566 64585\n60073 78694\n90036 95954\n13042 85817\n32703 76376\n49830 75928\n90789 94147\n18432 23920\n9128 86078\n234 69984\n67141 72073\n39868 92792\n11618 66080\n75428 90384\n42958 93882\n20588 27441\n51303 96661\n1869 49976\n20868 68377\n12143 65272\n66049 66119\n89902 98307\n17639 91692\n313 69914\n43224 91093\n36226 86296\n56596 81124\n19957 70729\n9767 47548\n73616 88754\n43332 89183\n7436 11775\n35788 60521\n10395 94941\n36361 77552\n61035 86439\n74838 96168\n25529 70391\n85809 93149\n25362 40090\n37942 98349\n42070 87164\n28629 82065\n18818 85771\n90734 96128\n27484 72448\n36412 41054\n13861 85359\n49514 71161\n13415 99451\n21445 72571\n53550 80486\n19723 72907\n1555 43257\n58423 64735\n13844 25904\n5501 18769\n24987 67128\n32814 73715\n8374 13944\n4844 96301\n63626 96655\n3032 69398\n45378 84434\n4917 24220\n66568 97315\n22995 62701\n28305 92752\n17684 57346\n16278 18120\n9761 24286\n91485 98292\n8860 76839\n45782 89993\n72444 81243\n56648 98196\n14381 83218\n34357 40338\n40476 66612\n14508 51328\n43138 70880\n44736 76437\n39966 53645\n16233 64340\n82338 97483\n42518 92459\n17107 47419\n25476 93501\n38649 38920\n32949 73635\n15833 16309\n43132 73593\n34903 50357\n19805 79065\n25711 58245\n62926 89762\n88762 95055\n46165 56331\n13187 27314\n84165 88981\n43092 73549\n32228 91612\n65182 76926\n5291 64202\n41780 90767\n76512 80704\n77271 89498\n81096 96939\n16472 86797\n45169 96477\n7584 81412\n25368 36419\n20475 42160\n2281 85632\n50983 81838\n35361 78527\n447 18094\n26592 89358\n50586 83807\n77 31532\n1126 58167\n10009 14475\n52353 54338\n44199 75234\n10194 59399\n58011 85654\n13430 40252\n50977 65462\n32574 44950\n30993 77597\n7425 61284\n80864 95738\n40957 97581\n29901 50150\n30611 72750\n54330 66121\n1139 77046\n26105 93544\n33925 87358\n67888 70866\n36322 76602\n94417 96069\n5585 41461\n11247 57508\n22108 78116\n74340 83647\n38555 85482\n81338 96536\n40521 71948\n40203 80695\n47239 70283\n8430 22200\n53392 93214\n12513 34853\n48965 71503\n19227 35439\n64652 91672\n6241 39409\n77460 81647\n28845 41474\n25707 47380\n3888 37652\n9732 81979\n49565 74513\n50453 87134\n61602 81489\n69205 69660\n22334 62988\n40234 45412\n80138 99996\n59807 67299\n70034 89515\n52917 89917\n28213 94530\n7563 15186\n55464 69774\n10291 32374\n12308 60367\n29835 50556\n4756 74012\n28178 74974\n5031 32700\n25877 47781\n14525 99186\n9655 11243\n41246 75752\n46967 58109\n90985 92174\n16086 22907\n2563 50045\n35428 99906\n12321 42981\n49066 93758\n31644 76009\n27498 75027\n75618 80350\n38608 94266\n20249 40261\n84687 93526\n52472 76816\n16992 61811\n21546 47097\n17200 26032\n41418 96929\n321 99270\n13073 70290\n18763 50751\n8790 18497\n51039 89354\n13686 93275\n35569 36722\n4364 27636\n18487 40650\n1232 4293\n53051 76531\n5228 57492\n19015 35446\n24743 28402\n20795 38814\n1048 39822\n33121 43632\n36814 86214\n49253 74430\n60021 95757\n41882 74463\n42606 62401\n2965 34038\n64071 77596\n34336 81051\n78464 82600\n42642 59057\n29647 41307\n47449 61782\n40088 51298\n62185 65505\n8815 55867\n54920 78866\n12485 37516\n50058 55786\n6396 40230\n22815 99402\n22484 45576\n70169 91405\n62589 83952\n45944 88581\n6360 60500\n28037 59944\n81112 89252\n58823 89107\n21045 35700\n10015 15819\n56732 78947\n25667 59033\n67993 69432\n15996 96173\n5014 49830\n31458 76455\n24578 30399\n25673 72402\n42696 65767\n26090 32054\n67189 72181\n23626 49025\n31417 68898\n15358 58630\n28443 49984\n75141 88581\n69383 74196\n7522 76505\n19154 54154\n14004 60124\n7980 90229\n19434 23447\n17657 52302\n88478 98751\n11392 18708\n78139 90925\n11617 15411\n22817 51082\n87189 95904\n65216 76046\n46666 96972\n53588 94412\n59379 78063\n60312 98153\n12634 77991\n15735 64771\n59788 92765\n9624 99017\n55524 77176\n24713 50011\n86139 88498\n67176 79717\n12981 58983\n17787 65779\n39926 96521\n2924 49374\n55382 71284\n51638 75679\n44683 47391\n33188 71110\n83298 95208\n90946 99888\n1628 31033\n5362 62906\n15690 84097\n37162 72524\n15929 63731\n23678 92491\n81918 97026\n21833 60841\n32059 48739\n89766 96012\n17211 34288\n4113 44313\n14751 99177\n51850 82596\n38710 42151\n2303 17354\n22889 53089\n23190 56315\n1207 61277\n26801 77127\n9659 37826\n22420 53674\n79214 79897\n51505 88331\n73988 77053\n24251 92291\n26352 91864\n64792 73650\n22637 42657\n23152 56571\n48509 83472\n73520 79423\n75448 93730\n34640 98210\n23257 64992\n211 72984\n11817 73909\n29592 33175\n12652 40160\n30228 34718\n40662 63827\n13436 97121\n44064 56079\n20823 48930\n26930 71404\n7103 58814\n1046 91721\n86634 98765\n50253 89970\n1882 85247\n20213 38546\n43220 58090\n19776 80756\n469 71769\n22896 62613\n74766 87922\n61654 80309\n16415 96223\n4127 86937\n30417 73261\n46201 66061\n41246 94937\n1855 95439\n79624 84123\n34422 39118\n5539 55079\n19970 61230\n36585 91795\n78361 83579\n25467 71163\n43035 67732\n64861 95390\n40371 67781\n28319 37971\n56491 71441\n13559 80284\n65875 98575\n25122 52186\n19824 85213\n40740 52257\n44213 87863\n32058 66607\n8445 93487\n69641 80908\n12222 57230\n5114 45503\n70228 77539\n3950 6824\n68022 81050\n47491 85052\n45112 66660\n42040 64904\n34069 65592\n83768 98923\n15435 99987\n4645 67843\n4527 49984\n14170 49297\n236 94863\n47146 62523\n48257 75888\n4631 5631\n28671 49012\n13656 43770\n10664 67209\n3527 14980\n22059 25805\n7799 18478\n28947 39078\n29487 98468\n6649 56429\n18036 37185\n21948 53027\n24028 33546\n23086 36100\n7058 94677\n31152 56454\n54716 61822\n15263 48086\n62598 92592\n12591 85807\n23620 31339\n50149 65551\n61576 76509\n27836 54232\n14784 84039\n58178 89279\n2426 95990\n43076 73570\n50052 77592\n21587 29591\n32800 40361\n40275 90235\n47765 96666\n48675 88070\n12170 22544\n6756 44446\n67025 67825\n62129 87339\n45223 93514\n55950 60011\n22519 95109\n17751 78971\n64035 82408\n6477 54052\n2789 6849\n41813 83596\n79777 82508\n75239 76942\n73593 81700\n26203 58057\n3017 39998\n8586 78510\n26837 94350\n53077 80534\n27352 90367\n44624 61537\n26359 96846\n20351 54126\n30847 49342\n36612 80411\n4363 30352\n63647 74491\n16508 73723\n19036 36554\n12013 25829\n13253 97229\n33048 55094\n36834 40143\n11301 88506\n62748 82531\n58444 67158\n28876 49159\n20523 98317\n43961 71859\n7378 61574\n15415 22884\n44188 59813\n23569 24615\n53896 99000\n71394 91734\n6134 34693\n42279 56401\n55594 99407\n49678 71159\n79547 97863\n5601 11604\n46547 64293\n9734 92613\n39157 50876\n52960 84797\n50768 93575\n13941 63720\n6562 42848\n5993 24354\n7177 35743\n37780 67879\n19926 56689\n48979 49437\n29609 76510\n17828 21314\n67746 87977\n30067 57738\n51947 99864\n61801 67752\n5371 62336\n30313 79799\n15096 40408\n56144 59700\n47501 52934\n5397 34668\n15855 83416\n28179 97740\n11232 77889\n26305 71379\n19059 32554\n1017 20179\n1031 56381\n693 62398\n12701 75355\n11362 35953\n13864 70803\n20459 29806\n1130 64812\n17875 30072\n57963 78530\n86240 92799\n47384 52893\n54857 86076\n7926 80422\n9638 25631\n51937 93064\n29413 90304\n3640 74966\n28735 58896\n11717 19267\n3581 44644\n15675 89306\n17968 40235\n30211 38971\n74243 86652\n13248 81315\n30391 85502\n27088 77914\n23464 98240\n7327 97173\n77651 78171\n49285 82803\n64718 99953\n1268 29240\n10138 62307\n94727 97096\n45271 75695\n31853 56541\n22846 61473\n54766 99088\n38461 66076\n9495 56822\n23819 54487\n52611 87718\n38918 70489\n14161 84455\n17517 18616\n88144 98600\n43738 77950\n33038 86514\n28223 88171\n16556 87397\n17869 98795\n32105 90869\n85577 93144\n35917 52278\n5968 95245\n47359 56033\n49687 88987\n93995 98308\n73017 97285\n24581 51117\n10377 97192\n8859 71929\n97537 98455\n63406 78874\n76888 95462\n65011 94261\n51676 56618\n29322 87535\n12296 35072\n15449 39558\n36007 40259\n84893 98106\n65499 74898\n66241 79766\n31281 59526\n52158 90992\n44381 58973\n6611 91535\n49384 74023\n57747 98350\n20026 40389\n54947 59615\n48096 90410\n2781 23389\n29843 94607\n4234 99697\n34364 36521\n31663 84603\n4865 5947\n26885 96171\n42291 70349\n19408 21123\n24843 93087\n34005 41697\n21570 72254\n59633 64773\n60532 72401\n4458 49563\n28681 38985\n14693 39973\n14328 82280\n45351 70414\n42031 73923\n38956 39504\n13517 49486\n26417 73023\n86537 97656\n47057 58246\n7917 68967\n6824 28667\n83198 86229\n24254 97990\n32847 43849\n6138 80179\n18173 91639\n74576 87407\n9296 28369\n33973 86584\n36000 94162\n2701 89252\n38615 97459\n88767 98956\n18211 26274\n3962 91701\n11875 44408\n64661 67434\n26662 48834\n22885 35382\n35461 82728\n14231 42196\n38712 78440\n85264 89962\n81438 88221\n17185 62686\n9164 51288\n12019 19813\n28421 88588\n33791 36706\n56545 61082\n44158 63715\n9756 63431\n40880 44452\n22901 30404\n46350 56650\n30205 38677\n81430 99302\n26304 83012\n11601 66139\n78135 95670\n26908 59823\n61018 89741\n44556 94878\n25676 31563\n26403 53888\n78272 99887\n66795 92392\n3345 41220\n70968 94871\n10690 59248\n10404 57199\n76153 78834\n5636 31395\n4080 76016\n73209 74839\n17176 46606\n32142 61443\n16168 43861\n13516 59681\n49914 66484\n28908 90881\n11495 24266\n54233 64827\n78816 93095\n65780 97754\n45318 95189\n50780 57295\n2545 28690\n63983 76738\n36637 86805\n37277 43028\n21368 42156\n19560 62224\n65694 97277\n9163 25867\n32352 90461\n37197 97699\n32956 81838\n39834 74085\n12997 66794\n12083 38335\n15702 73338\n32247 88160\n7543 57118\n57552 68631\n19613 34597\n43506 71011\n6837 23343\n52483 57799\n23970 53500\n32159 41716\n80450 87502\n1131 23425\n37321 72125\n42938 82176\n42323 78660\n11043 22962\n5491 22685\n65731 94360\n25504 64316\n37897 54268\n36876 73754\n22865 81027\n15949 47317\n25750 64521\n6307 6812\n32879 63401\n2439 4702\n12489 86836\n13290 26807\n10049 60744\n78992 88522\n43909 64360\n72839 97213\n31285 50413\n28815 81388\n5559 26017\n77095 88622\n23051 83363\n49365 66681\n74322 93744\n6401 28467\n27587 88086\n2273 31728\n1087 39966\n11659 51519\n49613 93236\n22856 31342\n99 91658\n5813 8441\n61132 76012\n28223 76208\n24730 75390\n582 36973\n21207 75193\n44936 63601\n11985 92787\n5196 14535\n10396 23492\n17212 85589\n31395 54447\n14141 18566\n37490 67856\n26070 39672\n6979 92714\n11844 99703\n25099 80595\n34529 79491\n38692 45218\n10572 82118\n24846 32076\n25153 43297\n95119 99141\n9472 81575\n50908 68822\n77846 82329\n6965 30574\n35222 91571\n19547 45536\n19742 74328\n97183 99053\n72485 90993\n35076 97255\n32190 98002\n45406 75728\n23272 33479\n47759 84465\n26102 79474\n26763 82770\n77244 85802\n37195 96041\n27158 51618\n224 95723\n30892 85904\n14898 31917\n50073 96495\n37106 66832\n12973 67948\n14916 19514\n15091 94731\n17994 42025\n24492 41140\n4204 63067\n6452 52880\n16655 47925\n34299 49499\n30068 35971\n21608 35442\n41545 60216\n53783 65438\n1005 58934\n24051 94044\n1884 68056\n10734 21707\n84132 95716\n38070 43666\n36970 63182\n71066 81058\n7694 32284\n15403 51595\n64629 73557\n7795 16664\n30854 57547\n46912 70050\n31400 48005\n31153 47825\n31214 42610\n26130 31754\n32422 50056\n12955 71297\n5587 26457\n21919 93699\n57749 90417\n66664 91210\n34616 82624\n2878 36228\n23902 37311\n50344 80268\n13098 16875\n37040 38128\n2268 71909\n64920 73158\n66906 70252\n60203 85115\n48332 90075\n14593 35461\n10453 24538\n25949 99143\n69403 72473\n5056 73697\n34792 45417\n50266 80528\n54257 55473\n23921 97890\n25286 57141\n20730 80661\n28489 72437\n17242 62750\n15789 51047\n65424 81563\n31155 49329\n30645 97926\n756 68152\n10219 10604\n63742 75177\n10504 27433\n68525 85428\n30658 45958\n48545 99852\n34928 76767\n38050 73849\n87913 88530\n14078 79217\n76463 83579\n51047 57508\n20877 65394\n56134 88401\n23656 63417\n21696 34767\n40297 43158\n23300 55705\n42114 54197\n13388 81346\n50895 56519\n5116 11391\n34635 53045\n46694 55565\n319 16903\n19327 31872\n19757 79011\n36262 87889\n20771 84953\n53263 56279\n59971 67730\n6060 54710\n40867 57206\n8570 68234\n83062 99765\n70417 94665\n77241 85750\n87979 94955\n80723 83097\n47884 68038\n19267 90932\n50428 90625\n7794 51537\n20760 69150\n24442 98625\n59580 69488\n10044 49992\n70722 76012\n10478 91113\n13849 95759\n13776 32153\n54128 82578\n1724 45419\n20280 22146\n8691 19001\n94008 97467\n44325 99711\n39572 96840\n72410 95325\n21352 88432\n24359 49391\n15061 73541\n7758 26937\n2191 43602\n52636 71544\n47192 82957\n74876 86185\n27778 32994\n16963 25996\n52871 95080\n53645 99514\n84085 90760\n92086 97517\n33858 86254\n21845 54332\n30583 44938\n39984 76842\n22305 40072\n82400 95262\n56225 61205\n44792 59628\n4331 84599\n3536 19203\n20377 78402\n21723 36904\n28668 82400\n17416 56237\n29954 61969\n7704 91227\n7457 77843\n2819 36991\n82359 95866\n39455 54446\n17007 31780\n20355 66794\n17760 83706\n69842 91733\n14480 76886\n53224 73688\n66374 96089\n41492 95161\n80804 93340\n19351 86816\n68435 81477\n32922 89485\n82405 89365\n26839 61885\n30940 64611\n56977 63606\n79758 90819\n39466 80319\n25787 72096\n69339 90619\n12166 56751\n74439 80416\n51313 97346\n20978 84484\n84339 97127\n25789 55239\n5522 81263\n5492 29471\n25072 48093\n10088 21469\n16565 57442\n23968 65544\n21370 42150\n7838 46027\n56438 94970\n38858 60128\n45045 94372\n19368 70533\n95499 96017\n20787 90099\n80615 88374\n77663 80556\n32506 68361\n38620 48300\n45450 82291\n34822 60465\n23239 87546\n69581 82966\n25007 27880\n29597 29992\n29794 93169\n36685 69645\n4748 14211\n11724 79312\n37109 96517\n86323 96362\n93821 99942\n13465 39550\n4533 59145\n74184 96808\n45812 88666\n12685 53635\n42164 57226\n60919 77666\n10418 26254\n79729 87522\n29517 62689\n15650 93152\n77913 85080\n84076 95387\n54548 82987\n16075 90980\n19670 76011\n91115 92443\n9367 63258\n17929 88390\n57724 71294\n68240 79441\n10838 93449\n724 68892\n5239 36699\n32455 34387\n6015 79307\n27317 85385\n12189 78792\n20966 73342\n1023 77357\n6420 74521\n6185 11718\n38653 52741\n45192 92109\n9967 66045\n5145 44006\n44645 98387\n34997 75693\n30549 50753\n8222 72180\n26999 89756\n377 34864\n41266 58221\n14816 56176\n28577 56347\n35215 50941\n87761 90763\n8753 63602\n45636 61147\n63937 72534\n58089 97887\n1797 30177\n40426 86101\n35100 70922\n41442 60214\n844 46772\n10608 97915\n48175 81230\n17774 22862\n27086 44292\n45382 82437\n1079 76280\n24297 37506\n62841 93978\n41432 68918\n21061 50718\n12545 14137\n90600 96992\n3943 29816\n13654 67305\n15205 64257\n37891 68738\n58373 69713\n6622 9935\n73373 86214\n42093 91020\n1727 80961\n6225 25703\n1804 18518\n37681 98400\n60995 75610\n964 81971\n3752 22164\n48829 91624\n34419 99965\n27496 93342\n55630 86272\n10683 52465\n7361 68739\n35932 41333\n32091 87804\n13472 95228\n10341 63399\n75460 98661\n10918 18880\n32113 68410\n3901 19683\n43157 92799\n31810 64180\n27451 54778\n9326 47026\n12907 64208\n32514 91184\n27969 50260\n30046 54949\n44391 49176\n63238 91022\n57591 98732\n15749 75216\n11628 58199\n16696 56886\n50531 78178\n29624 41467\n13162 64026\n11535 75692\n13609 63541\n24135 81274\n5074 51651\n57066 92487\n68259 74660\n44118 50827\n17743 89610\n19514 93710\n20964 68442\n8232 12423\n17765 69646\n18457 60737\n66551 82900\n37495 80726\n20644 36152\n49500 89880\n16122 93021\n31495 60391\n81388 85556\n39407 55278\n13347 82572\n49715 66087\n7954 36568\n34870 46226\n7005 21234\n17521 65122\n11769 72764\n22611 63491\n64811 90033\n24281 42419\n5509 28160\n50637 94955\n11892 66809\n70 47662\n27996 44672\n14142 41551\n27704 62478\n32725 41576\n49 53728\n17191 81500\n21473 26696\n90869 98099\n18508 33242\n52740 53394\n8114 60836\n83189 86563\n55439 87151\n61658 73503\n5284 80452\n58040 75669\n6911 61385\n28304 48288\n29379 46315\n19296 88527\n21253 77326\n59445 89879\n12065 23093\n12197 38567\n44548 75019\n15671 18542\n22445 73918\n10462 98071\n31617 33727\n44488 78680\n60753 76673\n73731 96016\n58434 89818\n25028 50866\n76894 97771\n24526 32958\n54375 69562\n30540 33110\n66695 77718\n6062 48222\n17990 43187\n7652 20180\n34419 65033\n23187 77116\n63294 74881\n29212 46221\n69827 99755\n27181 37857\n10111 89614\n16550 21570\n10519 93614\n27446 89603\n549 93858\n2118 31740\n25490 57214\n3434 66022\n38826 74473\n60016 72337\n47209 69525\n35451 76228\n16050 25150\n28108 74268\n19861 47840\n24167 89925\n3211 71460\n62546 74906\n40732 58691\n83 7737\n3677 59004\n9454 86529\n4220 9176\n44060 83430\n5175 34383\n36665 39071\n44117 64537\n35257 97417\n17179 63847\n7418 39685\n18892 89306\n76782 78266\n33411 91842\n1046 58869\n84809 85930\n9870 87171\n24134 61291\n25809 72549\n49459 99937\n56231 79559\n34533 61744\n10152 77726\n21409 91612\n5270 80405\n29872 73860\n53891 62179\n32473 89142\n42806 48598\n28161 60173\n16387 57978\n42474 98660\n14197 22563\n89647 94323\n83113 84392\n44501 59319\n25427 40110\n19010 69554\n33291 57475\n84916 93495\n8191 33874\n50677 60156\n64698 92797\n1129 87903\n2337 21482\n69567 96644\n66008 84883\n30964 45418\n7973 81966\n28248 92915\n20191 49006\n1810 42695\n14884 31226\n15202 76907\n55092 70912\n90656 98421\n596 7400\n56288 66644\n16548 31739\n26620 58738\n40736 97770\n65821 68988\n40581 53972\n70261 99360\n44464 50568\n23424 58827\n1857 94864\n11384 29433\n15025 79690\n65857 95496\n51511 66604\n2241 5195\n3422 41930\n22236 87147\n28500 57738\n12404 64222\n994 14805\n14612 85834\n38910 41288\n49635 97147\n63057 98258\n6690 59509\n21130 76746\n34661 37540\n36651 86024\n59569 67689\n2146 45295\n24505 76019\n49322 87036\n27293 45892\n9526 59368\n11912 75263\n56322 73246\n8918 67136\n46584 73775\n29945 77511\n7188 95869\n15822 25566\n28848 63779\n51117 98497\n9823 89902\n80991 84089\n29192 80554\n62109 65188\n12452 74894\n11040 59894\n47831 77179\n27261 85364\n29372 58205\n43150 74799\n14334 79739\n18150 67269\n865 49344\n18328 82804\n66422 73625\n33259 95607\n37615 40817\n65689 81757\n16950 37671\n67134 80869\n41611 93250\n53487 58974\n15997 95361\n54483 64082\n43260 46875\n67802 77517\n70862 84996\n41672 75446\n49522 49753\n57515 77286\n34216 81251\n82317 86336\n11853 89738\n19204 91283\n41469 91759\n25606 59568\n32140 47258\n36916 81880\n7025 47794\n63468 75593\n68765 98631\n82741 91400\n33618 56493\n50448 88811\n17866 29284\n12467 44545\n89744 93234\n17506 68652\n29817 70126\n17442 22707\n37145 88699\n52512 97501\n64548 92972\n5021 24848\n17090 42382\n10787 16854\n86010 87276\n52766 71145\n20683 78254\n49172 96490\n47715 80998\n47899 76697\n8060 29446\n33250 80354\n2580 58034\n95740 96707\n58005 78241\n27713 62979\n16114 46999\n31160 66629\n21413 27918\n4035 29622\n8046 43828\n40084 55997\n7282 21041\n12379 14793\n50928 93941\n3180 92396\n18586 48117\n73671 96094\n48942 82541\n37399 69119\n16869 25629\n24598 97263\n28832 40820\n5436 19533\n17294 46830\n57234 79154\n23770 98376\n62272 86851\n32807 55412\n23761 37639\n77497 91337\n27306 97016\n52284 56524\n26912 59732\n59753 68664\n11719 75000\n58298 92159\n18243 44402\n29487 79238\n43498 56194\n7042 14784\n22218 26725\n67031 77306\n7474 9360\n18315 66719\n54141 62976\n70768 87491\n14602 42698\n3104 76087\n67320 91117\n9597 76969\n54897 97803\n58789 72279\n84168 91384\n68450 78930\n35645 94138\n29512 38062\n40872 67511\n56896 57489\n69207 93155\n14853 25466\n28963 90202\n56431 94042\n12251 48479\n52556 69667\n17795 71085\n12881 34961\n23836 41209\n8764 50049\n25154 32772\n57058 87416\n22979 27052\n3780 25126\n5232 77188\n51048 66629\n51761 60240\n34256 44558\n11373 81747\n726 61634\n13859 96002\n42206 91233\n22040 34274\n34277 61381\n53932 61478\n21020 79177\n26422 41157\n39971 92289\n64131 82105\n40637 40936\n248 79299\n9866 53929\n72131 96259\n21753 49142\n9981 89973\n58020 74076\n52834 94541\n25422 65465\n58291 59320\n5878 21742\n52989 93716\n43810 58393\n3998 24453\n13437 78950\n38135 77969\n491 90496\n64063 99212\n39375 42763\n3263 67011\n67262 77489\n1174 46501\n25440 48936\n720 63832\n54158 99634\n95048 97164\n38587 85780\n76480 84793\n17151 91182\n18399 98975\n13411 41603\n26277 81106\n25093 41266\n29703 82995\n58236 93625\n68496 99679\n16949 18701\n73237 81384\n37207 79738\n58887 66776\n60420 76189\n21898 81748\n24400 35254\n38034 78835\n50596 79820\n3209 47222\n88500 90358\n22052 56859\n39665 48242\n42892 66882\n19980 88549\n61457 73922\n4352 20644\n31351 81526\n15385 61735\n21891 30593\n22523 84993\n82875 96670\n13497 34618\n59201 71342\n11663 47045\n59629 68236\n81342 82619\n80803 85236\n92859 94098\n23254 64329\n25589 94163\n7048 87866\n28002 86946\n48127 68155\n34750 90739\n37988 63641\n13616 89649\n39612 74656\n20798 74654\n55366 82783\n5909 82646\n37227 50784\n29758 96634\n2041 99667\n35486 70961\n7966 10754\n52431 77460\n23418 29387\n32715 66719\n22003 93323\n26600 61400\n46271 95399\n48662 85429\n6871 34995\n59415 71082\n5077 97292\n39349 84007\n27598 99970\n8110 31150\n12058 22374\n30871 75739\n21765 72710\n25238 28599\n2572 34635\n1544 83522\n70712 95718\n66250 73996\n6174 79099\n14650 98598\n57126 86829\n30338 76065\n4899 14037\n47543 71226\n94245 96900\n15426 87195\n13171 55074\n28979 64740\n63798 83341\n36280 61768\n47334 73204\n6145 82006\n271 43040\n33275 75619\n33715 68659\n68741 73809\n41619 75679\n5001 23225\n36269 91527\n14215 74045\n58921 74659\n60404 85433\n12817 20503\n14427 18199\n21825 91346\n54858 82089\n27630 67544\n11622 56756\n38775 39707\n40648 95257\n24646 82017\n37458 97274\n930 49855\n39108 98487\n833 66152\n21533 89459\n50087 95800\n48599 64407\n78876 85859\n49087 95559\n10735 49720\n30959 97335\n19919 22343\n3278 91578\n6799 82883\n65369 90417\n7253 76692\n35969 69832\n25464 70966\n9320 50828\n40444 80871\n30054 42980\n54140 65546\n22498 94321\n35165 50233\n36878 40358\n10644 55342\n63807 65229\n27830 87730\n20401 53689\n16190 53472\n7786 98621\n51855 82523\n45929 82967\n32457 63327\n20423 81775\n82219 93496\n40353 75518\n3909 36539\n78581 87167\n20979 98852\n45413 86563\n56947 66110\n42162 86795\n30454 85392\n74041 80439\n33764 63167\n42003 73099\n76168 80767\n13727 27218\n22179 93900\n1894 41060\n8193 65883\n37842 40442\n31156 41077\n3046 34162\n18246 19599\n17226 67196\n29733 76975\n19212 25821\n3723 96640\n48438 81069\n22444 73611\n53387 95514\n14750 92490\n16368 48491\n43189 65986\n3604 58984\n65878 83083\n58186 64018\n33566 81426\n57817 96959\n50905 84876\n26813 79378\n30298 36681\n488 41092\n315 81311\n21878 64444\n16415 58097\n79051 81913\n29471 57886\n27321 55240\n5748 75194\n24916 83226\n39495 51034\n39936 68032\n36746 99755\n18519 47292\n16077 80472\n47950 83192\n33654 74174\n9698 65428\n15616 89334\n32391 76508\n77765 93020\n10776 38354\n3916 67551\n66828 91248\n32126 40424\n29338 57982\n19184 63988\n34257 86419\n42070 70497\n46660 73742\n42457 56016\n1890 95660\n72161 97504\n17949 33085\n25877 78612\n17069 36943\n29468 77152\n7910 67448\n14707 29318\n15082 76296\n72786 74191\n40936 48029\n46245 65577\n26401 78777\n89618 91379\n1104 19305\n40846 90375\n9226 17452\n2588 78656\n53745 82141\n67754 98417\n95553 95817\n7942 16406\n12232 54074\n42679 71608\n10653 13699\n9977 88112\n51908 64538\n65968 98809\n5706 98953\n6775 39418\n67727 86900\n42431 87222\n8903 34472\n40353 83722\n7009 81073\n54193 97708\n16750 53409\n15899 51905\n4334 96765\n9131 92717\n27738 57210\n17195 17299\n16915 79188\n39198 79295\n1082 1324\n68746 84559\n45266 67209\n67034 78684\n63326 82261\n71458 85691\n1779 87392\n23640 70791\n64086 68989\n26210 65137\n20494 89202\n29128 76925\n85098 95288\n4864 97785\n6882 52795\n908 53390\n56452 66789\n16772 39193\n6466 31726\n60134 97020\n2304 69180\n48400 59570\n70526 75357\n93939 95554\n42172 55417\n43533 44324\n16989 40057\n30197 74779\n568 85350\n14460 92023\n26888 86308\n34335 65013\n24727 62810\n14874 28770\n1007 97000\n38791 82613\n46931 63676\n79822 89835\n12104 47149\n26136 70782\n56555 78666\n50190 80208\n59803 89365\n1885 73390\n58565 75611\n8895 66832\n8859 90435\n33781 44530\n7592 30748\n29030 64945\n29454 80122\n41074 50153\n6622 21219\n48429 95887\n6239 18062\n27158 94220\n241 42601\n58073 96696\n19652 46636\n43891 67909\n41138 55800\n42368 88812\n46963 97560\n17598 59629\n3956 62282\n1071 12880\n36589 59141\n8101 55596\n12806 90710\n32758 53795\n12615 69596\n34437 44667\n17833 62781\n55739 93419\n57554 87662\n1493 49115\n3600 58058\n48197 52785\n10860 72770\n19683 79619\n43666 44807\n32043 49445\n24584 91651\n13700 42610\n29003 38501\n34672 45288\n14515 55568\n4721 30570\n84895 94659\n43922 88190\n22404 49838\n8753 52387\n90370 96204\n65626 76572\n3223 42391\n43413 58693\n7413 90235\n63149 78936\n29294 45100\n74992 99183\n6732 52047\n51899 71781\n28865 87319\n18163 49271\n15068 71307\n67817 91534\n53637 60290\n26831 71228\n46457 88303\n49392 88647\n17629 51662\n52328 69796\n8003 22953\n54736 60116\n53002 67793\n42945 78990\n2325 91949\n60518 67411\n14889 17151\n44797 59952\n47635 75449\n31218 87237\n33437 87977\n10267 66304\n19464 21756\n25133 33094\n70232 86614\n56711 57048\n44839 47981\n57299 74702\n638 2296\n620 37271\n36378 46186\n1357 94190\n23438 87816\n4016 32921\n25133 85006\n57084 59731\n54978 87884\n28333 64506\n68561 96281\n17228 19541\n33481 69279\n65220 84495\n32032 39889\n21377 49020\n27961 54103\n20510 57622\n2012 93561\n36393 43339\n43680 56328\n40441 69171\n10411 91563\n1556 34305\n1025 70129\n30778 54202\n38007 94035\n77445 89470\n29524 50388\n1289 58295\n67882 96020\n17093 67689\n49387 85463\n31029 34302\n1066 20139\n1829 20620\n38975 57695\n34934 97976\n53206 64309\n38988 42914\n47163 82737\n15495 99858\n67466 69398\n25235 94745\n10674 98402\n76559 88721\n34848 45504\n4491 32550\n68763 86637\n58453 64770\n10021 86618\n1113 42309\n17705 60344\n28338 35222\n67049 76178\n31259 46749\n35597 83833\n8686 63368\n4121 67213\n61487 66109\n92514 95819\n56579 98690\n5587 11604\n68573 77391\n10113 62149\n74199 79555\n16755 96696\n86262 99197\n12565 41329\n34150 39642\n36613 66750\n55235 58695\n2081 8328\n30577 51646\n38483 78463\n81445 83754\n44047 74900\n8862 21298\n87010 96400\n37391 41692\n26444 35831\n29502 91476\n69813 71128\n54732 86533\n25801 92903\n28148 69110\n26028 74963\n52556 97554\n81728 83486\n13805 53211\n44851 88443\n51962 66831\n74630 93465\n26490 38671\n35947 87118\n24445 33603\n21764 81292\n84521 93061\n94125 96030\n65923 95792\n2367 20526\n31061 96071\n60216 75918\n43189 65284\n58521 97501\n42887 43512\n45596 73609\n4614 46664\n25065 68968\n25601 92220\n27939 55642\n49620 77931\n72821 99385\n40631 95632\n29510 80334\n49843 88786\n3218 41700\n93495 95720\n45309 47392\n20614 91214\n64581 88521\n24893 33228\n22250 32672\n24728 74276\n66119 69469\n48806 68042\n62407 82793\n26053 52038\n24819 81769\n25388 82683\n34124 63140\n29104 91460\n9418 54790\n10230 13934\n25404 70416\n2974 81210\n398 66017\n71777 98010\n4688 5774\n41899 82470\n61288 61354\n23442 63508\n11728 43718\n27386 68408\n39899 65138\n39761 92957\n20433 44388\n5230 89528\n27307 81683\n6284 88662\n19273 28602\n9877 76180\n20702 87439\n15308 89901\n58693 63197\n10936 95797\n34478 36926\n2954 23123\n27169 66746\n20686 33137\n4870 98662\n11059 16140\n57693 85456\n44192 70134\n16529 53973\n3700 3906\n10309 11442\n39286 54908\n17094 67809\n21958 70150\n71970 89016\n9253 74066\n38981 42351\n25241 37701\n4935 88362\n37730 56642\n1243 16061\n45606 46725\n54375 94416\n56088 76853\n3746 33087\n47408 80904\n11279 86076\n70035 74175\n28565 37165\n15604 80395\n12762 59170\n15657 97425\n64005 69235\n73010 86792\n21672 95166\n10821 71931\n41042 41567\n69459 83101\n31265 42583\n19796 94522\n9569 93800\n18989 27892\n29306 68334\n56931 91952\n5913 36066\n32769 61302\n31885 42666\n30477 98377\n24329 42210\n15435 23269\n36311 98897\n20482 20684\n51080 52438\n10698 65191\n10668 51290\n69872 97540\n50018 83654\n2341 24544\n13473 36129\n3885 41718\n54691 85117\n5641 80345\n37904 47445\n14025 39281\n5949 27208\n11432 30449\n25003 32290\n3063 5612\n46605 75960\n38829 84118\n71554 84169\n34598 91227\n2917 58144\n46143 76046\n68047 83994\n28749 46113\n37401 96995\n56264 59317\n48757 94041\n56282 57997\n55384 60310\n1393 81276\n15966 94717\n4809 25731\n57687 73190\n25241 28271\n31403 80361\n4939 43973\n666 8615\n66313 86209\n20935 42032\n11179 76704\n44466 66821\n12706 56795\n19374 45915\n8275 79630\n47516 89948\n24234 46058\n57873 78202\n57516 85478\n56784 90236\n39175 58872\n54750 68290\n10117 87113\n16004 63892\n7842 17848\n61799 99691\n1753 63377\n15796 72837\n37239 49382\n71000 81659\n71370 74735\n395 35595\n14015 84622\n31821 82314\n32732 67212\n23554 78275\n19876 71634\n50179 78688\n27185 84832\n33499 44772\n51980 59945\n55545 81197\n9831 35908\n52026 57954\n69871 90123\n2050 33652\n8258 9265\n1533 63585\n64823 88449\n50514 58915\n74681 88934\n44448 98558\n4624 38887\n85527 88830\n28933 46387\n2608 90647\n48390 87962\n47465 60477\n9180 89814\n59824 88872\n20394 98892\n45499 81864\n10375 19476\n11818 27675\n59062 84731\n7443 27618\n57205 84775\n57028 67901\n3568 79906\n22055 35045\n1131 83988\n59155 64202\n6419 38355\n22470 46756\n37987 70153\n7304 89809\n18724 73589\n30379 75717\n60548 85955\n33173 76705\n22998 69308\n10823 50212\n3794 91699\n67379 82274\n17821 71819\n24490 71613\n22662 45597\n33770 69549\n45022 66428\n73238 81037\n22553 58124\n40988 62498\n82143 83435\n3517 90630\n35978 39143\n663 92039\n4413 5832\n72311 87245\n24811 64461\n23203 51814\n20469 57080\n95176 99894\n55480 77172\n4580 16570\n56005 76954\n10071 69408\n7595 57433\n17714 65020\n26568 45417\n7484 18364\n22073 99515\n17508 22724\n2579 94826\n91107 91967\n30997 55115\n41940 68908\n14251 50960\n3082 51598\n4470 66730\n46417 65028\n33088 45603\n1322 73722\n24307 63533\n29302 79536\n3425 85296\n1712 64335\n72381 84806\n35448 35476\n22915 75511\n16699 90101\n16202 42054\n40001 59842\n55122 70653\n44036 49252\n6746 56666\n34669 72364\n38652 63851\n3266 6762\n52938 67935\n31331 41887\n11153 30204\n38149 70361\n87103 87182\n4378 12638\n30598 42300\n27905 74604\n54641 92343\n19674 33852\n62159 67397\n1672 72010\n77244 85307\n13940 21056\n38 98620\n58640 70397\n58558 77131\n2441 36082\n34571 58805\n7608 80695\n20856 95444\n18919 44995\n16706 69640\n14420 66156\n37812 66918\n14670 82533\n59711 79889\n62786 99926\n15544 93472\n2001 94445\n66160 84279\n20377 66512\n22764 32709\n74577 94165\n44493 66265\n13776 78660\n1593 6601\n40826 61444\n889 61856\n21428 87534\n15679 88650\n65533 97361\n18431 28290\n70266 87699\n41959 48063\n26802 77787\n42376 92119\n79674 80684\n4136 18240\n4217 29794\n43760 52694\n20844 41559\n16432 93782\n8564 43860\n25494 44099\n78471 80776\n25191 85402\n51188 75431\n24351 60394\n9139 98715\n31935 49811\n1895 48624\n12976 60239\n39749 79009\n10912 30240\n37721 65468\n7445 85970\n21069 40771\n22472 41670\n12096 45543\n79096 90788\n19523 49275\n65338 88965\n81084 89142\n9988 46540\n35467 94181\n73852 92782\n7367 86123\n63893 98087\n5016 45060\n18870 60032\n33817 82843\n36810 76059\n31720 95639\n1783 2562\n44947 81872\n36446 66584\n75979 94850\n24518 36636\n80373 97036\n19588 36451\n74457 98042\n66574 91063\n11777 53578\n30045 68715\n5344 14534\n62942 75644\n25151 85757\n51583 94714\n31310 70842\n54415 65175\n49859 64629\n68668 70017\n41178 97939\n21051 89171\n36778 68567\n29017 74282\n39534 78674\n1272 68466\n5105 50538\n40493 77774\n50985 62157\n3992 61551\n6116 17881\n23749 26225\n64303 91885\n85620 91013\n87352 98930\n33650 84263\n29423 91694\n41012 65807\n39877 99900\n37281 74431\n27803 76522\n1497 39879\n2012 17509\n23767 26270\n22588 80286\n88179 92598\n55768 81496\n20311 30234\n23642 39129\n21900 43070\n48904 73375\n1446 29439\n13102 75295\n46653 81084\n73069 76657\n60261 84816\n67697 73039\n41514 74971\n14174 81493\n37324 45529\n69896 89900\n40026 71312\n47884 66459\n17115 80028\n9338 65026\n15290 73532\n69546 75998\n13575 97910\n3593 55757\n25898 86331\n61745 79995\n50504 92623\n16303 73693\n19291 23273\n52202 87630\n31109 81987\n27239 49341\n15050 28105\n46757 75422\n15352 58874\n25847 46190\n50085 86733\n7820 57068\n2671 3137\n21496 64697\n30047 60422\n84429 95101\n6688 47023\n62159 85452\n57740 85411\n52243 95029\n51588 85285\n88400 89004\n53753 97152\n8242 50977\n36564 52630\n79460 89475\n31783 87811\n64171 83423\n1546 92895\n56556 75165\n13560 65342\n43782 86713\n34264 92210\n14056 16602\n35272 62369\n42951 72701\n29818 96720\n10460 23071\n46754 59997\n49412 92279\n12396 84448\n5032 34781\n10662 15743\n51658 61021\n13969 66470\n74576 84559\n6832 77903\n14141 83736\n20624 79367\n12634 61510\n67550 99718\n29312 61194\n41763 96106\n40058 82984\n40492 81432\n51496 81016\n5469 69252\n19496 31301\n57977 59624\n28356 45890\n1490 80712\n41629 87089\n96575 98889\n21222 96963\n49895 71947\n42603 85645\n36501 81072\n2171 5417\n17113 55229\n22408 53867\n13965 89326\n55799 76894\n19583 29196\n18848 70750\n20725 54688\n75720 87303\n47009 61602\n42173 82124\n15975 25208\n36943 62242\n54677 83594\n5168 49309\n60554 69985\n32569 83638\n56715 85540\n24693 78210\n19296 92182\n12114 55036\n4677 48944\n37925 75420\n7852 49323\n4741 74759\n32397 47944\n1676 21262\n13348 50036\n1220 34652\n441 24974\n37997 67958\n59291 68871\n40406 62055\n9869 77804\n15140 67709\n20875 82346\n5036 43168\n45919 65947\n5664 50057\n24517 62683\n8643 81325\n19146 50663\n30927 95484\n4748 51760\n2361 44641\n26560 95817\n35932 94149\n18052 94039\n845 42358\n32693 85026\n35716 77143\n65706 66364\n13168 93343\n20758 92951\n67185 69823\n43472 44044\n37789 86652\n2376 30473\n13966 19016\n24645 97396\n39391 93286\n15337 75076\n52821 75349\n23658 34793\n8903 67115\n23129 36533\n38786 91949\n40687 92961\n49241 94090\n33605 69165\n55707 66423\n36855 48372\n26764 49813\n14104 47258\n36974 94594\n60227 64904\n4381 36490\n22117 89039\n52512 99605\n10944 86665\n52248 82276\n97285 98912\n68249 91461\n743 21368\n18039 73620\n15273 18494\n30832 78987\n36625 59069\n26490 34489\n3749 9493\n30783 44270\n35186 71011\n12220 19626\n32974 47386\n72692 81372\n10906 30949\n32396 47930\n6161 59270\n20042 97133\n13159 50521\n8799 17047\n69223 87258\n25600 58205\n34728 98502\n6554 70029\n25603 49929\n24306 73188\n5326 52623\n71417 82508\n13478 32167\n11095 94499\n32806 39449\n74295 86405\n7413 47728\n37721 59681\n24686 73809\n42239 58785\n6461 75915\n38265 39275\n28167 36832\n56544 69859\n13247 26915\n16098 93968\n36811 86949\n8903 35994\n36504 45322\n84240 93414\n586 82459\n16585 65476\n10810 51246\n34654 54318\n24868 83985\n22982 41878\n81497 82997\n35210 46326\n36397 65893\n12102 30872\n17587 99000\n63461 64032\n55257 88782\n52646 68428\n1348 78194\n5683 68048\n52364 87163\n4747 20668\n28181 51640\n59358 71333\n22338 42832\n76875 81136\n41294 76063\n1143 47419\n71922 75769\n90681 91530\n22681 25740\n32800 74300\n44417 51070\n3503 47868\n22137 93958\n3956 83132\n26100 52839\n63351 82393\n44327 83157\n49201 98827\n18315 37859\n10153 26345\n1392 23525\n17310 57736\n46133 73839\n76504 79955\n14064 38786\n51912 71233\n15063 75523\n10259 79999\n38018 51298\n57390 74962\n2739 14895\n13985 48486\n1825 82210\n14493 21867\n17983 39581\n44895 66291\n1053 83227\n56957 97225\n63542 81024\n9043 32997\n3924 44679\n6653 48195\n18164 39203\n35797 39454\n45720 75920\n49553 64563\n53050 59568\n76167 88911\n19091 36917\n22789 82355\n4032 51372\n64482 87396\n20097 29943\n4478 46810\n48544 74944\n42188 85105\n6010 32204\n41094 91763\n7837 92473\n9512 26366\n1860 77965\n26138 81606\n30019 66380\n36962 56139\n50041 75446\n45045 99957\n62521 70105\n62297 62371\n7668 95060\n28188 46697\n90700 92077\n124 92107\n1405 91793\n13345 79695\n34291 46914\n49955 74946\n7177 13680\n7558 28455\n42274 44652\n13069 70602\n4286 6576\n76453 91785\n26822 62542\n14284 28790\n31926 85940\n15501 16571\n16879 57915\n45799 98428\n2801 71902\n608 74319\n78722 82243\n59314 95996\n82760 95002\n49901 59181\n24230 24416\n5050 30445\n17500 41458\n71435 88860\n12132 44415\n24397 59485\n22305 32705\n26386 34000\n12372 97091\n7140 82930\n16788 93275\n13481 66226\n60180 78457\n34681 77781\n65927 81087\n80606 89884\n52750 94407\n24817 40878\n3772 44267\n19502 34229\n2279 71674\n14275 71940\n35862 41205\n25929 90489\n42031 74974\n53842 54729\n64126 94873\n4871 53271\n77491 99355\n77401 78088\n16127 20137\n4679 53762\n10063 87476\n26766 28437\n5900 15936\n7533 72066\n15906 78148\n39600 73656\n39502 63693\n69051 70082\n48483 49141\n2476 34288\n25702 29414\n20411 90840\n26174 69782\n71091 71251\n53022 90781\n40034 97590\n18770 88679\n18722 48030\n74736 78209\n24070 80319\n33838 96464\n11502 64036\n17622 29978\n12563 52976\n39939 88877\n52368 96605\n64460 69571\n63166 87621\n92869 98858\n23216 39276\n7639 65846\n37393 74415\n43311 87080\n35219 45290\n18474 63623\n57076 63883\n15890 21665\n51716 81328\n40226 67287\n70370 75212\n76798 97518\n23137 86666\n5754 12418\n70619 94198\n25213 67746\n7458 24896\n55920 87439\n41636 93940\n8101 85397\n59929 96731\n54350 93822\n60498 74700\n2224 11100\n75015 81466\n19207 74367\n30319 73237\n42251 70072\n44808 67276\n13423 21936\n13238 69574\n6999 25605\n4827 94502\n9863 83662\n44464 92252\n30266 78763\n56386 90001\n25124 38976\n61230 62168\n75171 94571\n46776 49463\n53633 71866\n10976 82240\n29064 34123\n3646 94763\n15744 64348\n31899 72278\n8303 31044\n3830 68985\n37257 95196\n6452 17180\n47337 74070\n20144 51824\n40705 96532\n5375 12870\n52441 87626\n85671 92989\n9564 12886\n2687 21004\n23871 88624\n7967 49008\n11073 89301\n38121 71875\n15211 63371\n7513 10960\n26905 57957\n25230 40690\n8466 59252\n80692 96364\n49521 82404\n41511 93252\n21566 64544\n11598 61857\n28953 79650\n56021 86025\n55962 67145\n35540 40006\n19358 61590\n47269 73209\n48548 65702\n71601 90492\n36593 65494\n60790 87453\n28251 32364\n22395 65725\n50710 54184\n587 33217\n86167 96287\n22435 98577\n12455 23895\n31258 47848\n58553 79281\n13036 34308\n13329 64955\n3092 31036\n9931 91938\n74609 80927\n26398 47439\n32709 35219\n97913 98857\n72151 90385\n15073 81900\n64874 90722\n8303 38252\n45455 92843\n5473 83996\n67325 90000\n48800 63790\n27668 70776\n78158 93288\n12750 49241\n32264 61627\n32138 40033\n55316 75856\n68744 91830\n46087 91283\n38758 96538\n10925 50721\n58321 94334\n12448 85962\n60490 64294\n59482 73308\n78727 88159\n47059 78775\n57734 94993\n12603 33539\n7910 35166\n78969 83434\n71484 71967\n34893 40577\n51046 75080\n35430 69490\n95152 97317\n82342 86292\n6680 50216\n64144 89924\n67349 68836\n76120 89181\n34851 84844\n28692 73660\n34808 77373\n65920 82305\n33567 71952\n32357 96220\n25357 83684\n23775 96695\n41671 89839\n40744 66686\n4213 5482\n36264 58666\n33570 40596\n43607 50122\n3855 37359\n18598 68272\n78975 99136\n57008 85676\n46110 56599\n25716 36708\n42779 99365\n5752 12003\n15568 83001\n31233 94457\n9782 28059\n5046 99845\n47391 70835\n53005 83415\n6191 42561\n5241 29475\n36371 73463\n9483 25325\n88544 95162\n45009 53224\n12567 78127\n58481 93128\n9577 43377\n7812 54494\n53572 59288\n30837 70067\n21621 24731\n50869 51612\n3441 10330\n34409 59813\n16401 72085\n18243 39532\n72771 92657\n6985 66303\n12277 60481\n5239 82369\n50798 84083\n35702 87461\n22643 62557\n52491 90612\n70174 70905\n8519 97528\n24993 80928\n41614 94885\n12877 14885\n4421 69662\n2666 48002\n31372 67357\n471 36712\n6052 10337\n37206 51833\n67231 82261\n75285 98247\n16562 37904\n17090 43562\n64955 90086\n3126 8432\n56146 92075\n81066 86639\n14702 84575\n28105 64176\n18388 38721\n62157 76302\n5943 46634\n1436 88889\n7630 68553\n53481 83634\n3364 58845\n18285 94012\n50881 53897\n34481 53021\n5846 41796\n10913 29312\n23713 90203\n34196 69087\n6899 22039\n32297 35758\n81876 88878\n34724 57613\n34202 50843\n78066 89037\n888 43190\n11632 53909\n75327 77879\n13810 54200\n42646 88634\n30673 61690\n7857 36751\n35584 98077\n21076 62176\n36661 52979\n25927 63874\n25044 84035\n22320 78940\n13864 98199\n16463 33086\n12446 89743\n38630 74896\n56837 86401\n43464 53065\n10318 10660\n637 22013\n26938 82725\n28932 46757\n37939 52944\n26284 90836\n46038 65761\n69947 86077\n47569 49456\n7174 85428\n76397 93595\n50759 83214\n42624 94898\n3918 5644\n27182 47007\n17432 33896\n45497 63716\n28785 93706\n24023 96302\n14464 17862\n48052 76756\n65196 83569\n63917 82489\n2982 50652\n35658 90194\n90837 97425\n49410 68401\n63654 88901\n9529 84354\n27346 34384\n7916 42240\n32976 84830\n21970 85922\n75350 86615\n58681 71233\n38213 71036\n19537 69848\n37082 75685\n47248 50090\n38227 99877\n72723 89491\n37798 54741\n69656 81595\n58380 96344\n38364 89228\n27344 32851\n74812 95396\n155 76767\n47507 98586\n35206 71440\n37464 54176\n44189 91380\n61838 87984\n19968 27280\n52986 84906\n57705 67572\n33183 36493\n51201 62145\n40692 63446\n61878 99603\n39075 85517\n5490 47872\n35497 88006\n10936 29034\n17832 93844\n45050 90084\n47031 97456\n16616 17232\n29937 91774\n62074 63149\n46533 56676\n22002 83204\n39157 49129\n34238 71210\n14347 40218\n57434 67068\n7530 97147\n6806 60920\n14083 76000\n35919 76912\n32293 41286\n7011 88067\n8961 45377\n50000 65137\n12275 92994\n25372 69239\n15897 25482\n2504 22243\n57597 87656\n6981 84709\n22737 53923\n27698 60637\n4927 87561\n12532 85060\n16190 75733\n3914 77455\n66563 92198\n42596 57813\n36633 75152\n82562 92061\n52002 86836\n27395 88695\n73561 76985\n19663 94330\n46484 50542\n9593 48834\n13244 23493\n30905 80537\n56766 64834\n17104 81671\n33345 76103\n55057 85678\n26709 86844\n69569 94849\n11938 87873\n57638 95672\n41150 65457\n2297 46104\n64116 82825\n74234 94558\n94250 98868\n9797 26770\n34860 44164\n8849 50894\n3936 80479\n79299 85446\n36810 48352\n79367 86862\n38062 71505\n51732 73061\n39393 69961\n13172 53378\n67960 73176\n62607 83992\n29803 99639\n74124 95576\n23250 70319\n48205 97284\n2919 35838\n69675 75122\n11523 11598\n71885 96665\n89684 99420\n5909 57682\n24704 83213\n10117 25200\n63484 86427\n49670 79541\n39818 78326\n16815 83058\n18758 22477\n53895 95253\n64899 76861\n68482 97034\n15089 55906\n20453 23154\n39912 90724\n81326 86977\n27378 89065\n54505 92000\n14120 28815\n5720 98339\n58480 76796\n33929 87558\n17937 36019\n6244 80849\n32817 68018\n4568 72463\n43501 58935\n50151 63117\n18975 67860\n6828 35022\n25929 70955\n9816 15465\n1864 21827\n69837 77531\n18963 19236\n84233 92254\n18896 92445\n25577 97844\n39454 53450\n35692 53814\n66371 72059\n6151 66437\n7731 96895\n66332 73437\n16026 21610\n68786 91474\n20976 65594\n8103 51748\n291 51731\n853 62326\n12096 90779\n58736 70390\n26733 97808\n57639 97333\n19661 60596\n77097 83227\n77 45923\n59366 60299\n67606 93534\n26220 94811\n28744 75018\n30743 51759\n31150 40708\n56210 68226\n14919 35423\n29449 89898\n54430 59577\n20068 34251\n10105 40138\n2253 69121\n14291 66114\n4289 12093\n75786 86822\n43457 45348\n14005 79121\n37679 99387\n18430 45133\n48066 83637\n25277 68831\n49920 73172\n15458 43258\n67138 85443\n7973 65631\n6946 49550\n56009 68401\n13989 86559\n11148 33854\n64247 93768\n1928 96389\n72215 99088\n36023 81514\n76654 93765\n42566 68169\n77474 85224\n11814 57098\n25485 45624\n22070 92707\n4152 54861\n26282 89060\n22354 54015\n42179 79629\n53440 65492\n23840 77618\n31181 60360\n10392 40382\n28555 83824\n66194 78671\n13809 67225\n29422 89740\n1161 5396\n67034 94918\n34294 68932\n31692 49775\n1016 31872\n51989 83709\n24406 61446\n17818 78183\n2431 47803\n1205 44235\n36949 48114\n64098 75098\n7051 14216\n63950 72664\n40050 43932\n66620 77321\n13771 68827\n48416 50039\n46838 85956\n72196 92791\n53814 79709\n28945 90962\n17739 55605\n77938 84186\n7291 32536\n47587 66627\n13049 97063\n11049 91308\n49619 97307\n34891 87698\n9734 13372\n3970 56892\n31320 35123\n34466 66018\n58377 92248\n62647 74677\n27297 85066\n11615 30014\n10688 99953\n68641 72080\n1379 37621\n52621 62523\n34923 40795\n20347 24172\n35261 62326\n29605 42074\n22211 51373\n38207 76425\n8172 14877\n70598 84141\n40552 48069\n14476 44217\n59653 85790\n25475 57944\n25216 87265\n11696 83308\n2277 91927\n79542 90560\n17146 72884\n6183 94047\n13810 39737\n15802 28835\n10308 30160\n42238 65317\n9151 25548\n38149 86857\n66784 68075\n30969 96443\n37249 57688\n20844 87226\n30938 74080\n27908 31696\n26835 56221\n36749 69638\n9368 80540\n16426 17007\n26189 43302\n20791 41392\n23925 83013\n7019 68749\n71951 78462\n89124 99792\n93077 97096\n20884 94856\n1163 82556\n9822 77521\n44595 59907\n8812 31444\n6642 77235\n24761 71994\n83060 92632\n21844 32383\n77952 99396\n22026 86770\n43812 59484\n16548 85651\n31687 67160\n25945 97779\n19420 19772\n4461 10346\n58045 70373\n32605 70755\n7374 62491\n1716 64428\n3277 90200\n57519 57701\n36001 59746\n5176 78970\n4475 17714\n40016 78334\n32029 96314\n241 79649\n23619 45233\n35993 96679\n52206 67067\n21962 80997\n52493 69783\n20350 66694\n24898 59735\n46261 92029\n12488 24488\n14944 78358\n34380 53587\n30003 74489\n59057 77875\n48674 53723\n2535 12434\n15633 82125\n7097 25216\n18192 30411\n5057 66187\n35465 51576\n10655 78030\n33070 34611\n20857 25733\n6881 23225\n25156 98038\n55776 64879\n61104 97232\n51627 66797\n1285 96351\n54676 95992\n676 22251\n11431 29753\n45945 89519\n22300 39992\n10521 27163\n42833 84873\n39423 70040\n39948 75577\n42364 43060\n8950 53567\n56512 84836\n74471 95398\n47202 68644\n19389 24659\n64695 73343\n2388 19486\n16232 62621\n14851 26894\n18532 66194\n20581 54816\n44755 75717\n22674 79708\n2927 36386\n8888 11402\n12697 85004\n68415 99075\n38195 51149\n14795 91043\n55631 97254\n58720 82773\n10305 16694\n12966 52695\n29874 45552\n6262 13171\n19030 35379\n1290 53990\n13927 81763\n1390 33851\n980 95999\n12452 55484\n76373 78320\n44846 82645\n4837 38489\n65502 74324\n5926 47398\n10122 63085\n12101 20316\n57342 75177\n14766 98200\n22583 84738\n81534 90160\n51306 99393\n2008 69110\n49384 64656\n26350 80765\n58630 83253\n53537 58387\n4204 84029\n1077 57927\n79111 92048\n16809 27132\n28588 50871\n14056 14550\n11849 50119\n53147 82387\n73841 79886\n18359 20263\n65593 72061\n78352 96374\n3472 20171\n34412 73828\n34024 61077\n32872 96593\n8788 70721\n42769 70508\n813 23940\n67397 84720\n10183 55713\n11656 40605\n22155 45542\n30956 86042\n1589 46392\n51982 72028\n30856 50604\n3593 65535\n39585 81492\n49471 85815\n47713 82963\n62847 64656\n37288 81457\n6497 32326\n34711 70382\n10732 49602\n32017 59442\n28162 33584\n2066 49037\n9804 46011\n28855 64471\n2931 62464\n28550 42517\n51029 62254\n9036 67075\n26921 93986\n14122 31101\n21225 97689\n17639 59726\n7753 67487\n49311 90725\n30224 37685\n11398 79175\n27671 50587\n18015 32615\n16762 44084\n32991 87151\n23662 44358\n47415 67181\n6749 33274\n56405 81889\n9427 87286\n34183 80957\n66300 71122\n364 3552\n11195 13975\n51296 93766\n15100 92458\n1929 56878\n9153 52894\n22660 26389\n28446 75779\n42502 45165\n37134 40586\n10070 63500\n60449 77120\n3397 11520\n6253 9951\n11890 16301\n67651 91195\n42007 68258\n29915 82110\n45649 97346\n31089 98373\n33383 44077\n11400 14716\n7311 71014\n29835 57670\n12709 70974\n44448 69077\n36776 91462\n3504 73924\n28472 33847\n41959 57343\n8297 93375\n25380 91938\n17220 42058\n16858 77374\n56458 86070\n30071 37152\n27148 80008\n37555 89134\n1066 59965\n40064 89039\n67345 72788\n19746 80011\n36142 37222\n2775 74238\n35213 85935\n49016 82877\n87121 98314\n28282 60921\n45421 64456\n37836 86307\n18387 25367\n35086 37667\n890 75137\n31616 86352\n52876 60309\n763 97010\n52154 53574\n10263 62834\n69290 71416\n48691 51474\n48803 77233\n23145 23399\n30429 76118\n29996 77816\n35336 36801\n10418 43441\n1748 76237\n71138 87331\n2982 56738\n51703 64321\n14473 26814\n993 96953\n10779 58448\n43542 97888\n1891 74334\n48871 82976\n42059 52373\n69801 86059\n23012 77727\n10894 13876\n16117 28232\n60102 68268\n73263 85556\n20366 95882\n88274 98859\n31517 32773\n49565 79336\n57 10478\n25387 61752\n6481 32557\n27714 49464\n11498 18686\n23172 58261\n17622 90580\n55916 97969\n44419 99802\n1097 50518\n15118 89609\n11594 72971\n23411 49480\n69353 86205\n19564 43176\n4150 51817\n3067 79875\n34887 66098\n6442 95186\n11013 35280\n40752 86751\n46480 55752\n15197 45284\n45912 99538\n16226 33318\n4409 95860\n5272 71572\n5723 10519\n8599 13205\n31097 80530\n84532 96622\n32482 45694\n11512 51067\n37508 86185\n34134 73494\n39194 90505\n5022 8536\n60277 64046\n45960 62334\n78968 82436\n21336 33026\n50650 62626\n38220 69890\n52896 67681\n25573 41440\n24166 48468\n47291 61398\n13674 18059\n1618 17133\n55875 95807\n15670 67585\n47350 66379\n27164 73021\n2020 85696\n14599 61148\n57448 81858\n10901 57509\n56404 71994\n46000 66420\n17380 96570\n37975 49174\n20998 86737\n88188 99348\n59947 79372\n39739 78175\n54760 70245\n38804 67236\n36200 74522\n33369 52616\n28045 86380\n31768 65184\n4065 48812\n27080 28839\n10721 49289\n38965 89062\n10121 45687\n26512 55006\n62336 80938\n13922 68634\n50085 78351\n30297 37480\n51940 59030\n47762 78588\n72757 97836\n19590 99088\n67635 78949\n61353 95724\n46057 59577\n15900 47552\n48551 58056\n9873 94271\n29786 93608\n18397 67199\n13639 51728\n31389 50015\n29745 69151\n71690 92632\n4204 53816\n22362 62966\n36914 71576\n31934 57552\n68575 86629\n14932 73793\n19442 40088\n55424 76981\n83867 97477\n35856 58873\n67280 85097\n20580 30602\n43567 92536\n51113 53800\n13860 50345\n20558 29837\n7344 9797\n22946 43475\n3180 38841\n95352 96378\n25446 86480\n49425 96249\n29839 95248\n39671 79123\n15270 53203\n13504 93154\n32062 95866\n22477 65516\n66953 77580\n35473 45500\n9427 28894\n31706 46747\n22428 44889\n30668 72505\n19077 56992\n47139 95742\n20373 98747\n16106 96022\n65150 73496\n44655 95168\n17289 50606\n47341 75720\n20312 62533\n5723 23877\n2815 21560\n333 28414\n66938 98102\n44185 65632\n8068 53026\n34347 99297\n30426 65587\n36047 47898\n14989 82778\n6498 74345\n26757 39484\n58509 92903\n52204 71092\n33024 64688\n23799 31424\n42230 82240\n56369 71880\n24559 71623\n9596 49642\n16373 43078\n39784 73615\n80554 86498\n40048 93627\n66638 85816\n29843 40670\n7841 30888\n95004 97170\n10983 28355\n26248 33016\n7327 72179\n50496 99479\n490 87576\n1538 72231\n20469 90838\n67339 67557\n4126 52128\n23159 76316\n56950 82823\n80639 85780\n29630 48031\n1966 23896\n2999 27522\n77068 92483\n38811 47482\n52580 61474\n50035 78856\n24819 89071\n36635 98526\n24499 61869\n19985 72991\n21099 33504\n27561 67174\n46952 79992\n3172 97230\n46521 60150\n6670 80372\n5834 52042\n13723 13925\n8721 52723\n73085 79905\n6512 70264\n76275 83511\n60234 64523\n45400 93176\n47100 86328\n15150 16767\n23246 31240\n26381 90107\n97054 97159\n35498 87128\n40609 62697\n53231 98456\n24047 88769\n43429 67977\n22415 30568\n2458 16425\n32552 35103\n3072 16239\n4026 12944\n19448 47681\n87 36694\n48823 80090\n15108 25887\n40171 56276\n74618 90816\n62194 93804\n25988 57402\n56339 88565\n62856 99150\n8257 77850\n2508 77697\n24893 63270\n57696 97154\n6742 19164\n4138 87533\n22469 83072\n12900 91452\n33765 56549\n6020 22839\n82104 87878\n12945 86087\n1834 80996\n24105 51360\n9859 24991\n27871 45649\n49224 83315\n32210 81568\n38243 89777\n9784 69914\n34384 70431\n24585 64506\n54062 86615\n16542 71887\n45151 63955\n32314 39963\n4287 38893\n68784 75889\n81048 98784\n7224 72877\n52521 87013\n6700 77846\n35896 75130\n22723 36105\n40350 85509\n55657 68731\n10844 30564\n79023 86660\n28847 50722\n119 78482\n9611 27654\n31228 93538\n2051 76276\n21086 23970\n14978 82850\n19362 27067\n31751 62868\n11174 27814\n10446 20803\n28002 48922\n32186 39799\n53324 69209\n7089 95365\n7283 62093\n65123 85806\n34632 99778\n58370 99845\n5955 56838\n54200 92822\n47370 93443\n53421 79325\n16032 41503\n4372 97549\n46695 52666\n29073 29252\n21404 28203\n28015 47263\n27084 74205\n35059 73355\n28751 64127\n28774 51907\n27158 82295\n20564 59992\n64472 83144\n11178 37162\n18732 91459\n61138 96529\n19881 84758\n29283 41788\n19755 38769\n49995 67440\n37913 86744\n57096 65556\n5819 36256\n6664 18467\n20971 88690\n15425 53970\n25410 57497\n12075 32919\n20576 97346\n80444 94976\n4577 44141\n65117 95774\n28019 51786\n5659 88285\n4400 77553\n60550 69547\n20340 27697\n21563 76247\n447 27315\n73263 83189\n27789 86126\n69452 94632\n24546 89233\n14557 39683\n46023 79375\n55752 67136\n6172 21856\n800 17275\n29804 82049\n35636 53242\n18383 55955\n36123 80455\n13767 74210\n89318 92412\n68764 85946\n67639 82374\n1930 17062\n18813 73323\n50696 52317\n70604 87670\n94159 97015\n9017 43220\n21623 90178\n35533 54768\n23093 70411\n27724 60559\n18478 25343\n28510 98632\n10553 54088\n47644 70505\n724 70221\n35003 93426\n57983 76173\n68 16038\n502 29716\n1136 96890\n35831 61908\n13411 40060\n39829 55580\n25620 46454\n27683 32661\n60301 69787\n2508 65799\n31323 79435\n36207 85112\n39360 81088\n26649 39216\n14298 92128\n1583 60289\n23939 27742\n44037 87631\n4170 68005\n38278 79537\n8529 29247\n16175 73022\n32714 69870\n6807 38125\n13853 32378\n20369 97255\n11321 64167\n8116 56170\n658 82821\n15376 43843\n20701 22206\n67002 89193\n17520 78256\n38748 55007\n22387 25669\n17053 79092\n76862 98729\n19422 56514\n43673 72148\n4834 23349\n66187 81424\n62717 74837\n21542 31040\n46752 54235\n784 47303\n45258 56897\n20301 58217\n26945 34811\n70700 93543\n82214 89523\n85913 90354\n26 15798\n7084 27247\n44218 48972\n20738 31235\n29517 52463\n58955 89395\n4322 53581\n74865 88994\n4601 87302\n55073 75163\n22517 81981\n79104 95554\n10450 68146\n8624 37819\n11798 84288\n38247 45601\n11992 47117\n37115 62774\n11890 48803\n13763 50529\n80631 87761\n38347 92623\n36439 62725\n68196 92876\n36619 40021\n13663 32818\n894 43708\n13155 38683\n5184 62903\n28940 65590\n31830 52864\n30174 41943\n1041 78187\n1311 56177\n14203 95707\n69910 74680\n90002 94898\n2558 4852\n27602 35749\n61516 97938\n3230 65546\n49108 84830\n29200 81397\n31727 54095\n8755 90875\n5251 19739\n25661 97069\n45353 76121\n35944 92331\n90992 99734\n26481 53562\n33083 39395\n4025 79220\n32839 52334\n37851 95400\n10871 90947\n13272 69290\n31081 59939\n46999 92993\n24639 30500\n5635 43674\n78681 85385\n46407 80881\n3961 91671\n36945 53894\n23631 49212\n9844 53975\n45781 72206\n15986 45930\n32532 84973\n34658 45019\n10893 39231\n91588 99457\n47696 63019\n46500 71155\n58269 99955\n16270 34618\n7642 62858\n31450 42783\n5097 59484\n10098 82427\n38054 80999\n68884 82255\n13717 62774\n45470 64755\n1142 27352\n55068 82943\n63350 65853\n34906 46049\n65127 77191\n63448 81488\n56577 88515\n27803 61664\n13839 92070\n51142 70221\n15393 20530\n53899 85178\n23691 28399\n47100 51145\n33376 50209\n20458 44043\n9192 87445\n24335 34111\n22567 79746\n39280 61566\n23486 69097\n64447 84493\n38216 54599\n14260 16392\n3340 89242\n23993 79728\n2293 15982\n19119 46960\n37429 98427\n11313 44131\n23855 57815\n85016 85218\n53083 73007\n82367 88437\n10997 49080\n24288 49935\n76157 78458\n81090 85291\n67147 93986\n20325 95564\n47705 77825\n9731 13638\n58661 79631\n29979 74818\n15080 30154\n67414 67510\n30498 91968\n45744 91057\n54075 97225\n30762 74868\n90454 94136\n57202 77795\n69416 88238\n66764 71923\n19363 67465\n7311 65411\n94569 97782\n1968 4838\n2608 60412\n3975 32362\n14517 48708\n19972 91856\n8140 73095\n2408 39226\n40441 73541\n13822 32567\n74404 83778\n41920 85039\n34624 52710\n28504 86472\n24503 86024\n16835 42231\n2370 30237\n9243 59180\n16681 44174\n6909 89362\n28799 30609\n56190 96301\n48656 49650\n25743 27250\n85567 88334\n9433 40808\n37270 62737\n29709 72880\n7999 67831\n25525 88686\n76532 86578\n48714 81294\n25959 94879\n33052 45892\n54619 81330\n16862 35898\n8484 77966\n67352 87005\n33067 39197\n9752 71632\n8603 94322\n13492 66337\n60386 96830\n55420 65400\n8789 55000\n64634 86608\n15550 83299\n39759 74351\n13630 27092\n67419 75390\n24034 36011\n182 28452\n3425 96896\n68477 84073\n8037 95235\n10700 85364\n21628 98959\n83882 93067\n24490 69430\n35856 60034\n79936 80935\n3292 22798\n7488 59296\n26826 38094\n4059 77676\n11468 84720\n41834 61877\n15563 94110\n3432 97045\n62517 84573\n9303 72195\n64106 93488\n6499 86067\n23325 79696\n30849 79876\n79646 90640\n11469 41669\n24237 59275\n52626 72266\n48671 62580\n17970 63590\n16851 70564\n688 10806\n54787 75363\n59593 74303\n12 81113\n23211 49129\n18776 68128\n5547 90558\n82403 85716\n81203 82163\n60209 84049\n44603 96195\n79130 80432\n49683 98256\n68078 78982\n19270 92385\n43988 65325\n46363 95631\n40283 78109\n19472 36479\n37879 58105\n6777 47695\n45465 63785\n24642 33660\n19999 49472\n56567 61603\n59600 72558\n17570 22604\n16572 50929\n17305 20273\n7335 48779\n83533 97891\n1788 10444\n3379 86258\n11795 95785\n115 39469\n52164 73419\n763 21389\n22178 99288\n10929 23175\n48295 90195\n34523 78979\n24814 59522\n3941 21723\n64293 74910\n20521 29881\n54092 70300\n1865 13897\n452 88363\n61972 93384\n48530 70871\n14976 86344\n34040 36135\n21009 35835\n28456 37761\n27532 95857\n45187 59425\n49214 92152\n38208 86775\n36052 76466\n47321 89496\n56683 67441\n4859 10147\n42949 93514\n19573 43551\n16651 97283\n13243 58467\n53832 89322\n7068 57389\n73406 87183\n16856 92110\n78150 90500\n55461 69606\n16374 93432\n44235 77396\n89091 96638\n56017 88059\n22153 24905\n42233 93819\n45014 83384\n54603 97788\n28508 77962\n21561 92782\n25229 40606\n55984 94459\n10666 43054\n10032 48543\n24413 91229\n8338 30174\n55101 60946\n32862 66412\n5459 76314\n10951 87020\n17273 95666\n19688 79850\n81984 97760\n40248 81272\n21101 85646\n45290 78782\n11357 69016\n25818 75432\n57608 58407\n19950 31206\n62196 68806\n25353 69410\n58384 68074\n15034 59641\n82084 87187\n61854 97510\n69023 84314\n1484 2091\n56915 74158\n20610 82655\n26261 94810\n6145 25700\n28696 77451\n5119 52810\n49946 99625\n25989 30930\n30835 86204\n8661 89527\n27450 30839\n1004 29239\n36199 70803\n27696 45006\n37116 85515\n42694 44306\n13706 56171\n64910 91564\n13893 63737\n48280 66268\n37324 84996\n31269 95927\n5889 40900\n16912 75976\n37736 69128\n22744 25928\n5721 28799\n26414 39906\n22205 94945\n12490 79337\n36871 99332\n84596 96804\n8735 25626\n4597 13316\n40004 55976\n42271 51467\n4159 47325\n54862 74600\n21273 35048\n9112 27478\n5213 24377\n21929 71233\n31037 55998\n764 62945\n179 7398\n13501 44894\n23979 62916\n18093 32372\n59662 75019\n10161 12376\n26594 44275\n76625 86192\n46309 98698\n421 70233\n43879 64864\n50308 52674\n85216 87962\n37198 59167\n63537 96979\n15489 40533\n55032 94329\n7966 48450\n20993 82704\n37609 38921\n29912 60374\n6667 34214\n74103 82075\n8908 79864\n32007 92723\n42355 85435\n6471 94721\n4905 50196\n49410 59965\n59152 62745\n3239 95121\n34040 94455\n54643 81466\n34095 76973\n20236 74919\n22392 44497\n45316 54635\n4362 37915\n27519 97822\n50221 51347\n3205 9043\n19829 52858\n15192 45134\n19664 69755\n39096 97587\n20212 91360\n21001 31251\n51517 90643\n21151 68990\n49497 54706\n67191 75136\n21484 91415\n19655 81277\n35113 91383\n47211 47538\n28790 87838\n26633 62152\n19654 46711\n15721 35441\n86361 92061\n28470 59270\n2536 83719\n39720 96370\n45078 76064\n54591 56389\n70129 89815\n34872 66239\n25599 94608\n18846 34108\n35 25668\n27654 72285\n21773 78808\n6891 14460\n57996 86931\n38197 54477\n16119 55870\n21279 74794\n13498 96557\n5473 31310\n82938 86506\n72653 98307\n43742 62590\n46424 76154\n12783 97963\n8780 75716\n11403 33134\n20314 78855\n25215 91987\n51393 78005\n33659 47572\n9688 50792\n8831 31151\n3980 44142\n3194 70598\n5575 74204\n27759 46847\n9796 20774\n55512 79840\n4171 41208\n16799 48976\n38785 91845\n31973 52038\n69292 89465\n45998 57844\n10991 78638\n21318 64169\n14806 99797\n61539 72688\n50246 84036\n47975 89629\n62812 88178\n9504 72056\n49545 61953\n21979 41167\n8634 75210\n40173 45999\n76077 83039\n59054 78598\n25317 95148\n18815 92847\n36312 70701\n11244 28707\n41004 56552\n47433 97853\n42482 43159\n9392 73052\n42098 89934\n2072 49730\n89340 97013\n28710 81999\n3876 18250\n52614 99729\n13329 39093\n15737 40685\n2131 84070\n64471 80070\n37477 47802\n46372 48155\n31236 72743\n5625 69125\n65529 75192\n38717 54690\n10227 78037\n9674 26443\n3077 59927\n26598 72984\n24587 71153\n49070 70422\n41953 47020\n23929 73645\n79967 88401\n53149 97560\n57259 71773\n65028 81443\n37380 85451\n12182 37896\n9634 26217\n15859 65686\n33892 39707\n39609 44852\n6883 46749\n40230 62281\n38546 60262\n26036 99067\n34076 93464\n26062 81484\n10480 55108\n3876 75130\n20110 21654\n23352 33300\n5188 72386\n11505 20649\n33507 67209\n35515 38707\n11621 85710\n59418 72937\n22983 39546\n93534 98960\n39725 74116\n27208 96578\n56670 63524\n51659 68490\n2257 20962\n8910 74161\n38896 91906\n35432 99497\n72369 83177\n12643 17745\n43678 45490\n52419 58781\n95703 98798\n1741 86933\n845 51748\n23617 74530\n5156 71198\n43978 45025\n34194 67347\n10627 46055\n13114 22734\n6392 87789\n34632 50294\n12855 49558\n40456 89362\n53118 78823\n78218 94492\n10513 20102\n11221 31437\n75291 85849\n29352 91046\n65988 91475\n51294 90266\n33216 66043\n37016 58346\n97126 98529\n34060 51955\n5620 86153\n41954 75838\n45843 70588\n49430 78824\n15163 34630\n5861 25899\n19608 64379\n60108 91421\n26631 66390\n23687 92262\n61188 80545\n51155 63016\n6260 28140\n38126 61498\n30527 48718\n17988 59026\n35735 57018\n47184 71494\n48786 74688\n47558 63780\n35876 51230\n9455 89594\n20044 98454\n24472 72291\n3852 93085\n90324 95722\n68528 96429\n82853 89262\n1159 92594\n299 76271\n29604 87333\n21739 49375\n10957 19083\n19624 36031\n15108 39114\n33785 95199\n23293 66801\n52504 68443\n38142 41107\n5099 35673\n60025 79109\n2570 52801\n74201 80686\n8130 37854\n13597 75065\n47072 95071\n81469 86795\n56863 82036\n51715 73779\n81745 98737\n27405 87728\n1794 90907\n60280 95865\n15170 38267\n54859 82357\n5518 17027\n20498 70015\n12640 42990\n22430 73170\n60745 73686\n78238 90042\n57135 79642\n64538 76181\n63539 77183\n48802 63444\n40062 41936\n35431 81216\n86501 97719\n11197 64356\n30781 96879\n42470 95591\n9367 46178\n51297 65012\n18126 88569\n43431 59427\n13562 22948\n21012 74144\n86026 86373\n29147 81486\n12957 97960\n16117 35728\n29122 96072\n12230 28993\n33738 95959\n7254 19544\n5615 61249\n9933 17143\n10148 33049\n84314 92513\n75458 96988\n32750 76339\n13415 59036\n2710 73337\n11296 79216\n36021 72260\n9155 91978\n84593 89111\n46521 89780\n811 43952\n9778 25459\n30361 70467\n53847 64035\n12631 26782\n42815 93183\n43770 89200\n79249 91087\n72027 74477\n25518 66937\n39469 72113\n63978 83903\n60694 74415\n40316 77013\n61813 71619\n29402 46271\n17082 25259\n20842 48319\n29381 65080\n4443 59205\n20912 70601\n73942 98993\n14422 83419\n57092 71571\n17298 92356\n77556 97315\n21679 81394\n78228 93339\n47778 84927\n44454 49245\n40627 99830\n23662 84452\n5601 80169\n1050 94305\n31728 54164\n33817 97284\n3439 83652\n28748 30999\n65394 66870\n43231 58447\n81454 93581\n6643 24553\n32269 85310\n46966 47975\n22453 98910\n6587 40480\n44406 87753\n42787 67216\n47488 71794\n22782 75402\n42413 49392\n69044 85665\n36072 99642\n52315 85505\n19909 48301\n43380 70182\n29160 32465\n18483 71400\n56245 58439\n38064 47597\n19883 42041\n5630 19739\n12037 29621\n14777 41717\n18335 61939\n55483 71693\n5097 71016\n52568 57973\n26020 91232\n8028 41489\n23299 97124\n31772 67502\n23588 90742\n31822 67590\n39656 50938\n23691 67894\n54526 74768\n61727 63119\n32859 44088\n48432 68341\n4553 39357\n12097 27423\n53636 75196\n47224 74426\n2240 37699\n2758 7563\n33329 57729\n54618 61435\n71653 87449\n65523 95853\n9166 49514\n42445 89978\n74357 76565\n27201 36857\n2984 86999\n14229 69312\n27010 41161\n3939 55930\n12356 90486\n6331 17714\n88433 89156\n14313 97171\n26338 59622\n22189 85866\n11810 40405\n146 85475\n31023 40111\n60554 91407\n22249 51681\n13701 67265\n44728 52286\n29732 77985\n14413 85131\n15584 89553\n3187 55548\n54674 90029\n94790 97527\n956 38482\n69043 99924\n80982 98951\n23844 89131\n30982 86875\n5241 91120\n417 1866\n16901 23767\n24830 31838\n40114 45443\n41627 61231\n17424 81742\n88461 98595\n9394 19212\n13898 76038\n78348 82464\n22035 40620\n45223 81159\n53533 73586\n4402 59001\n63434 99837\n32332 75663\n31695 91123\n6466 17279\n5324 56702\n3503 27105\n5712 80300\n39441 45060\n64410 84072\n14975 78667\n22703 24513\n84240 97481\n49712 61438\n30610 94716\n15387 24290\n59060 72874\n29026 38288\n44126 61920\n5368 52004\n20896 25586\n10826 23225\n41975 65234\n68335 73527\n66639 85201\n5219 21174\n29489 46493\n6844 47249\n42950 45276\n13031 52818\n2586 53078\n38455 54763\n65264 96145\n8817 56736\n10742 64020\n76405 95451\n93703 96219\n69147 87276\n61759 97101\n3234 38755\n24163 38011\n19610 29702\n12634 71225\n15778 63702\n45715 65032\n6213 91084\n42548 79648\n21142 98412\n40062 83197\n15008 22006\n29211 39964\n10757 53644\n29577 57682\n35089 85690\n25241 92888\n38628 60078\n1710 18093\n11747 59471\n2243 25884\n29569 78876\n84030 84519\n13022 84146\n32822 60273\n22926 26369\n29278 34268\n35918 87167\n20870 90410\n171 76457\n12822 86254\n25018 91387\n34777 96754\n87059 98451\n31221 87126\n54743 60084\n12077 37675\n2704 57987\n30607 49423\n78799 82639\n53403 73926\n20953 96361\n38614 83296\n19698 51268\n15299 64049\n5713 23590\n4020 82078\n25495 56234\n69257 69632\n16360 40669\n34760 81900\n3711 14162\n13891 82919\n26412 83449\n19794 43881\n30736 62046\n15655 86604\n1408 96336\n84144 85409\n5540 12914\n40427 70170\n66996 81538\n87413 93788\n21973 64047\n15049 99891\n63245 85271\n7942 44245\n51923 60637\n39114 67956\n65820 90019\n17993 57883\n32983 74479\n64610 82468\n9061 85740\n26675 81392\n93973 99058\n4370 20996\n893 64508\n668 56208\n66684 73686\n2368 83846\n76084 87781\n78309 87666\n40738 85424\n15531 43547\n10751 28689\n6721 77131\n29514 98168\n62835 75319\n27396 78268\n31298 87056\n23991 71321\n59018 72502\n46931 67383\n41302 90600\n340 415\n21462 47012\n29035 76901\n62294 64306\n39406 51219\n76299 82184\n11180 19879\n27560 52273\n2405 10927\n13970 48839\n27489 73359\n69421 85155\n1337 84279\n11329 79086\n17698 81538\n25190 48630\n69394 78836\n18674 82770\n28095 97045\n9861 94831\n77694 91086\n1641 52724\n47336 71468\n12398 64705\n18348 93067\n23522 81935\n13729 71868\n16131 86551\n40908 47345\n21787 99104\n25558 34723\n60336 86772\n49855 67434\n30461 67021\n69260 85675\n17443 25281\n73226 80525\n16802 68575\n5929 68598\n30806 82253\n6863 72936\n14834 87589\n69733 99962\n42074 61288\n40309 56199\n7116 63745\n48827 51952\n6678 61201\n9274 20293\n26083 27975\n18287 71063\n45147 99060\n74256 89959\n48060 81188\n2031 80454\n37571 71103\n12735 90173\n53868 88566\n38726 97322\n9093 80753\n1751 30373\n20750 75803\n22621 69249\n45446 82406\n54747 69866\n34834 41691\n2299 10056\n39545 46224\n80894 97908\n24597 43684\n9322 85696\n80251 92319\n43704 58825\n16295 89577\n65775 81248\n4284 63884\n42245 77454\n34871 62203\n45370 96196\n9128 35933\n33850 63983\n34184 85136\n7313 34112\n60608 81459\n5824 37831\n15317 88727\n34266 82192\n57621 81551\n33705 52792\n54022 54388\n14477 90499\n16372 50241\n22084 93736\n23963 47172\n68130 71003\n4558 83933\n41729 83345\n36930 62594\n36643 82911\n59566 74046\n6440 25998\n50108 97629\n44477 79411\n58037 99635\n37056 78014\n71932 76783\n8593 79795\n31572 84044\n22858 60585\n50457 58148\n11092 56284\n13591 33823\n9576 35309\n28212 64696\n3525 32934\n43510 54560\n54813 82201\n65238 73102\n35688 68555\n13858 56274\n62036 70351\n58527 72325\n25193 83432\n97897 98080\n32944 55063\n16800 34105\n53379 61196\n70404 87973\n14086 86790\n26913 35569\n12532 31100\n1327 5882\n6877 27947\n34225 89167\n209 44223\n24288 97993\n19506 47036\n18967 83612\n26207 33249\n32509 82169\n24008 55047\n21735 51336\n53332 85742\n70616 89272\n16919 22009\n67959 95600\n1338 70272\n35269 43443\n65714 71650\n23839 57579\n13177 37201\n14717 80932\n72008 88784\n46456 86025\n33938 59461\n90234 96779\n959 88839\n38301 53478\n18928 55627\n33979 83623\n20773 34620\n44236 79354\n45493 70859\n59248 88858\n2460 21186\n23013 46073\n7289 50732\n20431 36920\n55445 92142\n81488 93826\n41784 47351\n29227 94351\n25251 29138\n21933 40012\n28417 38586\n6443 63658\n39397 66058\n70677 78070\n57306 86031\n64089 88284\n36267 64617\n23357 92282\n9120 99120\n29082 46259\n76846 91027\n5732 20626\n14499 47785\n30856 78459\n921 30594\n7286 94229\n33022 90261\n25578 93648\n20588 91463\n21249 82399\n6161 31032\n29765 39313\n18145 53303\n4065 29893\n46452 62071\n22692 40751\n25311 29069\n74767 92492\n50789 69794\n15450 18398\n6391 94481\n3484 96524\n38906 46484\n12513 81369\n3861 24481\n14070 30035\n53622 64350\n13467 14277\n31030 96384\n20470 61769\n85913 90755\n67656 88428\n21996 94241\n41319 69716\n28596 57223\n75878 97545\n50476 71083\n40288 45130\n23584 63512\n10413 18309\n9736 29757\n16317 42096\n29390 50680\n6172 98046\n32987 75061\n14563 55144\n9217 95141\n16362 86488\n30920 95797\n8549 26184\n23674 33546\n57834 87457\n9493 44274\n56460 99892\n5056 14170\n38930 57547\n3520 9986\n70722 84043\n31510 67696\n9889 95782\n47610 53972\n3158 47514\n73840 86960\n66263 81737\n13690 14668\n8013 32098\n8847 30913\n29601 92193\n18233 57044\n35708 84881\n83789 87239\n62204 78990\n27885 34728\n8341 60448\n15179 82689\n23207 81709\n47525 93158\n13116 81520\n15127 76033\n7642 26807\n11712 26094\n55853 70367\n45632 73357\n49581 65672\n29958 77865\n20145 38398\n44011 44828\n34993 92465\n10527 29146\n11579 50542\n22350 57346\n49757 86708\n35618 43085\n32917 58813\n20365 90307\n33381 80650\n41094 50014\n51423 77794\n77339 84973\n65050 71768\n44782 57207\n48163 76524\n40775 54704\n11704 40470\n23035 92195\n46350 96685\n84159 85713\n69913 85627\n55482 55877\n18784 66389\n21510 37727\n1180 83811\n97237 98935\n145 75424\n20112 48294\n7107 93809\n29574 58306\n49639 62902\n5720 40697\n39023 75618\n16172 73151\n33962 99574\n57763 89132\n4695 10718\n13260 31568\n557 14097\n71734 71803\n53172 64058\n49264 60302\n28484 46677\n7588 80265\n16876 59997\n33726 50332\n21561 87472\n21165 25640\n41325 66744\n38208 45278\n43367 72861\n21067 59370\n30924 45122\n981 24000\n34917 83039\n40585 62557\n31743 78825\n64352 83750\n23836 97254\n16924 29929\n23207 78194\n50820 59137\n9813 13416\n22054 37367\n39837 60629\n14524 78994\n2020 70316\n14913 35708\n49908 57041\n65838 98846\n92363 99900\n75142 77149\n25070 61440\n31049 92583\n24191 67035\n24627 76380\n12157 44656\n13795 97067\n3132 80244\n30465 43854\n40614 99471\n12024 83202\n21498 98460\n54294 83781\n4792 93478\n10605 73085\n68661 89735\n28400 73928\n16322 84671\n1731 23261\n37891 84073\n66497 75745\n55386 72342\n1159 70707\n22138 77245\n90449 92006\n13302 77281\n9925 95561\n35082 42155\n3408 72528\n60540 81321\n36656 48143\n4170 14596\n40592 51585\n6811 30179\n33439 45145\n52012 85429\n10085 16520\n20106 66859\n17242 68690\n196 17470\n34588 99788\n58658 85857\n45570 54794\n49381 91306\n56979 90671\n52300 79875\n40509 40549\n46985 69322\n48968 51683\n11509 67929\n57506 89846\n63643 89399\n7710 32504\n8745 10129\n23953 84195\n23352 54453\n70678 80989\n53362 92626\n16098 89292\n88509 99507\n48052 54794\n33421 66590\n7203 27875\n2370 90362\n11635 75985\n18890 24726\n55178 86758\n31987 71358\n2073 57234\n52175 92399\n13314 81734\n32802 40947\n35382 47755\n39459 82478\n36338 80738\n1731 75203\n90573 94366\n3915 40520\n68602 74331\n13068 35748\n28811 94707\n29812 60167\n69179 84449\n19225 37159\n91921 97064\n2776 38648\n39298 61289\n18240 84937\n13741 57394\n22893 88139\n572 41375\n61417 62315\n28199 84534\n53845 57896\n27192 82726\n34297 78400\n5890 69459\n11909 73346\n31253 83017\n66879 88881\n81047 86924\n42146 66105\n56473 70959\n70836 88990\n52884 87452\n76318 84618\n28546 59579\n42310 71378\n3578 32294\n37342 72005\n59315 85418\n20377 52204\n3386 89766\n54448 83175\n28816 89905\n66015 94474\n47968 54235\n89745 93566\n38693 40933\n11880 37258\n29037 36600\n77304 98697\n23722 64189\n7069 86113\n17128 34859\n28580 31911\n65436 87520\n24229 56244\n3195 82542\n40036 78455\n15027 76567\n10167 77138\n20224 82938\n28393 49589\n9177 66699\n45004 76729\n25812 27283\n30085 42796\n4579 91292\n21789 88407\n19865 95470\n57663 72019\n15505 87810\n10075 57603\n48221 57452\n61786 73460\n90998 92506\n11716 57509\n7300 76716\n74246 80144\n12213 47974\n20956 67877\n7297 32900\n10018 80015\n35940 53391\n51215 93203\n78199 85920\n41121 88297\n21533 80337\n2158 72220\n22907 50548\n74638 83348\n3071 20755\n28182 63402\n37100 61597\n41711 64292\n8497 91333\n81572 99108\n47336 81661\n30737 44025\n40001 60544\n4520 19698\n38191 51749\n3696 51615\n52081 63428\n23742 32059\n59971 95500\n7702 85802\n44561 47434\n24991 74578\n18170 84061\n10354 72128\n4764 35962\n7515 96450\n28515 34416\n36843 98968\n49644 53733\n40011 92524\n13245 23777\n6925 12373\n75584 84072\n37803 81610\n2284 61375\n49759 71571\n5503 22089\n17690 38106\n80770 85228\n728 18753\n55778 83865\n1469 84500\n77883 98497\n65370 79185\n75313 93112\n27697 72222\n12360 49903\n362 75933\n32416 69398\n49388 73384\n60124 97519\n821 67775\n15671 35950\n4836 86781\n2633 42363\n29406 90532\n9794 96540\n7212 53424\n5283 74473\n26494 76440\n24834 68525\n50325 86757\n55171 76387\n21084 56019\n15290 61670\n71033 95862\n19988 91562\n55185 92893\n33745 44477\n51381 65004\n9920 74639\n72231 99979\n2982 23437\n9903 57211\n36274 61450\n11562 66173\n56877 71584\n8542 77804\n11050 28514\n25408 44503\n15031 35841\n51305 77396\n7045 26666\n79323 97180\n74759 80145\n7223 44208\n33177 53566\n16253 96919\n19675 47492\n20637 57304\n14859 21129\n2245 28134\n56570 86452\n1944 10574\n23775 87302\n11716 89693\n54142 87502\n41992 65783\n13874 37911\n5551 93046\n7542 26334\n16808 26105\n2543 25385\n65103 73696\n28676 53885\n41083 71691\n8235 43221\n57795 86672\n9193 28534\n10313 55361\n24255 31643\n32021 85408\n28425 85878\n38219 56762\n23326 55790\n38532 73407\n63241 99006\n36438 65893\n9408 24469\n38291 68239\n8882 57579\n26822 96839\n52949 90151\n51071 91874\n5123 40568\n5413 60447\n22580 59547\n2166 77691\n27944 40211\n63243 92309\n12412 72960\n30774 73572\n70500 75927\n6010 52212\n58951 94010\n91041 99893\n24413 76466\n14849 71377\n32323 76611\n24433 38776\n74117 97986\n81931 84492\n13438 56674\n19284 42155\n86404 92669\n14825 50883\n14378 89914\n49977 98951\n38924 93367\n14598 39811\n78084 81802\n32077 72768\n36768 40576\n44769 58261\n41387 96580\n8257 65495\n23371 91840\n58040 62936\n282 48569\n60776 65669\n30613 50088\n34491 50290\n21303 87697\n202 91112\n42465 87125\n3147 46257\n48419 67506\n48479 98806\n45920 56850\n80870 94222\n15885 71368\n48363 59688\n5119 82305\n51924 56402\n62954 76847\n73365 92729\n8283 50475\n16106 29554\n5825 50281\n4311 5851\n34184 65126\n10399 65583\n12354 45211\n7562 80572\n34202 68740\n16324 54168\n26501 97741\n1373 83251\n73097 97047\n31697 65726\n9161 57132\n7858 64834\n8806 49859\n74489 91105\n24446 89503\n39655 99707\n21166 35177\n5762 44349\n57481 68235\n8457 18321\n5202 30782\n27187 82315\n25071 97781\n24624 41915\n24087 39642\n18786 65941\n22899 39623\n2168 19470\n5437 27077\n47416 47887\n4493 45398\n4593 56086\n5171 50539\n20724 22191\n23080 53055\n20659 29024\n798 57624\n36006 83238\n48889 59873\n49949 84692\n23512 87255\n24312 87262\n38378 74409\n59041 96387\n12434 55135\n21005 50769\n22327 98327\n59360 79219\n7975 63108\n18193 46319\n35284 85736\n41737 85768\n5608 23669\n10298 80790\n18202 99358\n83444 88842\n9010 83907\n16374 77543\n1976 90244\n37358 61113\n40092 56264\n20565 51941\n22482 96833\n12539 73131\n44666 56115\n63257 72946\n45703 87786\n8390 51824\n27771 72786\n69941 77343\n2942 7548\n11352 35446\n20214 62706\n47870 72438\n50875 68853\n44519 50204\n33836 64755\n43237 64530\n57822 80283\n67004 84053\n38225 78085\n90526 96827\n53825 84245\n16042 20381\n20511 56106\n8946 58126\n3779 54630\n1930 16200\n34965 71170\n1405 39162\n18477 85774\n28420 97200\n12122 70812\n22533 23799\n34050 37613\n34229 55867\n6844 97618\n52896 82167\n428 35080\n4067 96887\n67336 96474\n12284 95865\n76581 83603\n16284 65956\n17832 63438\n16391 34851\n40730 86626\n6684 9457\n32882 97940\n59291 83730\n35904 41322\n40613 63805\n80318 83487\n8204 47206\n51333 66266\n64844 71816\n27658 82554\n15242 61806\n65516 67144\n4397 94395\n26258 62867\n21100 82072\n71259 89429\n65398 97165\n14838 49035\n10175 92711\n28855 40265\n22424 65426\n1928 38926\n6591 52346\n33154 51551\n912 76302\n22936 95168\n1830 41494\n70010 95800\n18433 78784\n61548 94939\n27417 63339\n9710 85936\n24069 69685\n46744 97826\n60909 79246\n30593 97962\n25356 69027\n7222 43899\n22587 95433\n11036 68171\n7747 97152\n47505 55537\n56809 57792\n33478 62338\n21674 63905\n232 41374\n16325 50309\n36712 98992\n20943 36323\n57553 86413\n55995 69187\n9961 65026\n29492 96608\n94375 97732\n56524 60166\n23437 90946\n44404 55747\n20142 23387\n13334 38409\n38619 56886\n59445 81655\n85853 86051\n34703 96247\n471 49650\n2795 81735\n32551 49038\n6748 34439\n16258 28154\n89510 95851\n81779 96627\n23342 48691\n18748 55467\n45227 57911\n10043 81360\n52149 62336\n31690 48099\n46594 89381\n7117 60827\n547 6005\n12535 60037\n21136 40345\n20226 58709\n1608 81908\n3072 52233\n46186 92480\n35528 90266\n60249 79585\n44026 66322\n63238 78612\n43122 45500\n57376 70429\n16309 64744\n20945 21652\n3412 55684\n49989 50118\n36765 38111\n24011 31830\n26311 93137\n32209 91964\n37206 60980\n16565 71595\n16123 59525\n5795 23023\n4618 41185\n33716 53488\n31668 32935\n57702 79072\n44282 56862\n59545 81582\n51400 71500\n46491 47818\n19982 98120\n16175 62167\n33507 33789\n58729 83400\n38768 56951\n14003 65232\n2620 84725\n53029 57056\n5280 37705\n7427 58500\n3988 67876\n59545 99443\n38997 45987\n63954 87716\n12398 70675\n9264 42861\n2586 61378\n41026 41396\n9124 34774\n5279 63320\n36033 76340\n35758 80690\n41596 70515\n56427 69845\n49731 86142\n55467 73061\n48488 75137\n7535 20495\n10888 75692\n41944 59073\n17579 72812\n45896 65550\n14692 15388\n26650 74910\n30176 37870\n70513 76203\n11666 58563\n31306 60256\n7624 94587\n40520 83478\n5563 51919\n31972 41299\n16718 49403\n13773 41220\n21101 33961\n70841 85311\n11065 86597\n8360 33808\n1107 14332\n64805 68209\n67805 71346\n60963 90108\n52322 62972\n39829 54758\n12992 81736\n57993 64683\n19344 52156\n31145 42400\n3060 40450\n24990 41001\n41907 99745\n6834 70525\n40619 78060\n1332 20591\n74153 91723\n4685 89157\n57007 65870\n72038 80517\n24364 71923\n43801 79337\n16382 24575\n67498 90350\n16137 37397\n66498 88792\n15302 89249\n45739 73028\n16196 73915\n47607 98183\n39535 45351\n28524 41512\n38103 74211\n3940 94268\n55737 76385\n7325 75129\n2889 98287\n6279 12865\n1989 69165\n24531 99691\n22887 85010\n71373 72959\n25709 36210\n29261 43640\n16210 30555\n17751 17786\n65439 81889\n5516 63643\n57937 94195\n9149 85597\n51136 89280\n27918 50229\n16628 79368\n4478 87103\n2101 90668\n13349 95630\n48077 86791\n28168 48566\n35379 91338\n59161 88528\n6815 95297\n5904 50476\n824 67335\n6936 93249\n26533 59249\n21133 61378\n16630 17753\n12481 33377\n23471 91153\n3893 61902\n8641 34056\n52458 94670\n40470 69457\n1727 41631\n4334 69587\n1359 84959\n46688 63381\n5479 43716\n25674 90844\n60667 88622\n36264 60704\n10091 80888\n58744 68622\n22932 27232\n53579 80909\n46630 97917\n11771 86616\n58593 61638\n30036 52025\n47440 79532\n10484 81283\n4134 63639\n53650 75797\n24477 37436\n47758 67839\n27339 64953\n55168 62699\n7653 56554\n39967 54442\n38820 80418\n16842 77636\n12915 41815\n34672 76154\n15974 33409\n27249 98599\n61910 85011\n10477 34995\n33053 54500\n36931 69697\n45457 70476\n442 94148\n14904 68169\n2020 69096\n56140 66217\n82649 82731\n8804 59813\n43745 53546\n37433 69560\n18488 52875\n30039 30624\n12302 53305\n36397 58752\n13945 77714\n52615 99295\n76581 80917\n626 66090\n7315 22565\n8962 53922\n11904 65868\n15947 77481\n28462 54543\n22636 72216\n7101 50893\n21567 64394\n39387 50176\n23085 98068\n35404 80015\n16841 69064\n13826 84910\n8114 43874\n39432 43153\n56787 90822\n6011 43895\n2347 25885\n14007 75598\n6295 26886\n15313 35147\n55032 85213\n2338 29905\n35134 36134\n82016 90796\n31053 65172\n51661 77261\n19677 72324\n6291 27692\n37689 97293\n38412 54255\n53636 82000\n10073 85412\n31113 87538\n61848 76056\n46557 89120\n3261 67542\n4614 45978\n44401 62238\n18616 47698\n71539 95940\n37345 94847\n36402 68486\n53858 83061\n20248 58813\n36303 71163\n73882 91431\n91019 95860\n508 36865\n73220 89806\n17898 85696\n29486 77991\n13821 96332\n2536 6497\n34535 61945\n70910 87725\n18724 37707\n4386 6113\n46031 78472\n69436 74189\n41851 85546\n18633 41907\n34704 79949\n78143 94458\n4230 60899\n55084 66366\n15236 21464\n34781 95144\n21702 89358\n3438 45979\n38607 69680\n10582 78287\n16881 79172\n18379 66839\n30981 84055\n42329 94040\n1698 84312\n28370 50390\n88960 98522\n83626 95255\n468 86783\n15342 22661\n1667 12445\n69648 71643\n28197 36750\n15023 30581\n56298 70955\n48043 50172\n17392 88371\n12362 97164\n17501 94578\n2273 44773\n1072 1506\n33144 81112\n78751 90231\n25921 73161\n38885 77054\n44112 69364\n56484 92511\n4540 54507\n43174 59820\n42140 66772\n66942 82826\n61818 78609\n8551 66413\n65776 89770\n45543 52958\n4020 25964\n38935 98114\n32410 89288\n24742 83585\n3350 19328\n67309 95650\n41818 62286\n47398 66116\n19092 22870\n9017 63875\n14332 47811\n23273 38335\n5589 16077\n20928 57553\n41297 72018\n42455 57145\n18120 76577\n9155 74643\n77007 90153\n21485 99676\n67137 95186\n58566 76219\n18268 77799\n6369 22826\n54778 90027\n44536 51227\n22143 51935\n38057 74656\n56414 95045\n36566 67200\n43277 84061\n10329 97847\n28097 81536\n37523 50762\n27835 37739\n63425 95496\n71741 72899\n23381 28321\n27025 29171\n18406 63940\n57128 90191\n27980 59149\n62739 67510\n4115 44788\n5111 81155\n30174 68272\n54364 73599\n4852 74565\n9872 45874\n1924 25394\n29471 77573\n22244 46924\n44502 48631\n63039 71377\n56162 58765\n20793 86721\n42394 53066\n25372 25514\n9221 88019\n58441 98056\n43996 68703\n1960 98785\n51749 54203\n55136 80590\n42644 51077\n30254 54052\n17166 27687\n47468 70929\n71496 77942\n69674 75383\n9698 38634\n10785 22595\n20461 91262\n14485 77381\n43543 69448\n22329 67226\n41896 97078\n77761 81874\n78796 99519\n13425 29558\n24426 35369\n6779 99961\n22462 37556\n8803 62899\n6475 93317\n12681 57368\n10175 50507\n24499 83054\n16509 68081\n41841 61224\n34780 43615\n23228 25245\n22746 56686\n13377 67910\n21020 41181\n10868 32964\n73272 73664\n60081 68177\n7483 25163\n87189 93276\n8781 89835\n48226 86242\n61956 81168\n5570 5832\n30204 30279\n23861 40609\n1789 62734\n44819 49485\n9619 66974\n9630 61842\n26528 43001\n11223 91760\n16101 28659\n61613 99469\n17223 80002\n28985 42316\n44995 73695\n72870 77591\n46377 88914\n2678 83642\n6423 45753\n14700 16962\n20952 29558\n77067 78833\n95232 95615\n25396 81466\n30077 90054\n21316 48813\n21464 96702\n42435 59107\n34222 37891\n7642 10864\n13974 87992\n5317 18484\n49546 82659\n60461 79145\n1614 66273\n21103 84171\n47852 71987\n40403 92249\n37241 57479\n28904 96987\n18250 28824\n12346 50109\n11480 45267\n45986 74235\n44474 44476\n11252 15417\n30671 77761\n21156 43363\n59402 82599\n17874 70533\n78934 85251\n731 85662\n16953 91311\n57797 61527\n27412 55557\n43986 98792\n11687 52609\n48186 81529\n9467 96409\n43372 62438\n49743 77657\n6416 15564\n26699 60531\n15916 89762\n1972 91796\n44797 63718\n34171 34645\n80258 86202\n13116 44655\n48421 96702\n29102 52934\n14018 54763\n28241 82698\n38451 72103\n67642 86926\n5627 79533\n13372 74727\n72785 74350\n18856 65899\n1534 40254\n6363 17947\n81246 88027\n28814 87593\n27760 77134\n47859 75973\n68136 78894\n17299 79321\n51776 83962\n31992 81143\n59859 74538\n7988 78716\n46269 65515\n78355 87645\n37175 72492\n7158 74486\n9274 16419\n13612 71209\n75533 77817\n1186 58451\n49480 97061\n20330 31665\n14721 34641\n37989 56777\n5815 7655\n7013 21257\n63426 99567\n48326 71510\n16641 70754\n1543 75854\n1001 10810\n9483 70225\n22427 30533\n39494 55699\n41229 73462\n34599 71122\n71555 90334\n27869 74921\n27809 79695\n48650 86026\n91412 93971\n24244 45145\n39785 86895\n25374 60036\n69529 82297\n52128 67189\n53343 95171\n9007 74058\n42838 90495\n13987 69944\n43390 81123\n31302 56792\n6568 75633\n84378 95451\n7775 74084\n18662 64114\n11362 48699\n12260 83365\n42253 80949\n68627 73395\n7956 72529\n13126 64632\n14710 64287\n56065 60756\n68941 87199\n49526 75063\n10338 32229\n9239 10673\n43194 83513\n57805 75690\n60349 84295\n82316 97391\n18986 31685\n8094 27905\n14526 83230\n18739 91610\n38690 40378\n16567 62769\n25314 92885\n22791 42727\n36312 58389\n66045 83576\n3670 19864\n32082 91381\n85175 96059\n31087 60384\n65103 73240\n29502 83608\n5082 27833\n38075 47825\n68974 81406\n74017 85616\n37584 56149\n10698 43901\n14087 85323\n63770 88288\n25423 34420\n47497 79531\n64800 91707\n63556 81550\n11363 57684\n16429 98987\n32677 52918\n24307 90668\n9528 78467\n85985 99473\n41872 72955\n58167 61133\n51850 67808\n9494 91041\n35746 56558\n45857 87711\n31474 43358\n7061 52760\n23693 39506\n30876 91894\n11966 71741\n412 2809\n94522 99616\n46158 61452\n81067 88412\n80810 96937\n4711 70949\n50721 84588\n19672 59377\n49846 74252\n24757 45866\n10162 80272\n36499 59715\n42737 85411\n60735 70518\n17848 61987\n76380 88364\n53852 97940\n10191 83417\n16897 39995\n73908 85693\n56377 97615\n73017 90491\n17337 47318\n76128 79950\n53547 78420\n57003 86760\n57149 89012\n1577 70175\n54043 73222\n90381 94753\n17552 44390\n45848 72631\n8221 32688\n93792 94149\n58662 91133\n1443 94741\n31355 95543\n26716 70417\n54758 98810\n10524 24321\n29559 56292\n23062 70112\n29678 53198\n10297 88141\n19109 31530\n54383 89472\n49947 72324\n27197 48380\n46636 48283\n59854 84631\n3717 33731\n37487 71617\n4010 25965\n94054 95421\n17480 63538\n63924 72383\n58509 98614\n23267 67008\n18244 80144\n5121 60270\n28652 43487\n19027 66606\n32383 46622\n35229 68785\n9398 12818\n20512 56629\n17626 27999\n6564 43709\n11058 82709\n8574 19116\n2637 90605\n1395 49056\n8019 38102\n38718 56535\n49419 97095\n24953 85049\n38430 42600\n39376 52906\n1620 76878\n91891 94250\n30694 88009\n26396 91957\n55939 65948\n61052 63132\n42004 55556\n41371 68971\n15795 38560\n796 87890\n44960 69369\n15407 98202\n8690 42574\n9180 98753\n48652 81789\n36290 47185\n11143 14902\n52609 94307\n15553 76463\n9093 92147\n60818 61212\n12065 95786\n61393 95574\n19813 73217\n34727 62029\n3120 68599\n84577 91348\n21679 72874\n16289 68604\n27244 27436\n57525 70657\n52477 69492\n50688 67839\n38206 59607\n31967 83172\n12840 82496\n42342 53768\n59369 75527\n22376 63723\n51450 63101\n29969 61016\n4107 35211\n9520 20152\n44695 73487\n23846 76358\n59998 83576\n22725 97860\n18946 33297\n57550 95149\n15106 29474\n98122 99337\n21776 41332\n60667 84502\n30281 78705\n36608 45710\n9528 28880\n44461 99531\n9325 52451\n7233 86041\n9627 30175\n50610 94656\n45750 84911\n32304 89557\n425 31278\n94228 96385\n22572 99689\n15643 71186\n15598 59062\n10217 60459\n9259 89767\n38556 64194\n68667 95164\n68816 93857\n53004 82537\n23338 98226\n47971 83199\n9496 10818\n75363 77039\n47664 50929\n12013 78384\n1832 4854\n21140 71333\n59033 59807\n17542 54444\n42657 68138\n241 57185\n22558 43015\n51214 82916\n25046 83551\n8097 91044\n62367 72816\n12274 21436\n14784 88901\n49578 75877\n42321 51235\n6003 38225\n35286 53137\n36535 49789\n16357 71998\n30415 56071\n34234 51700\n17131 60596\n11941 35116\n32262 67863\n47195 74490\n49708 84551\n45933 58479\n67427 75835\n23261 84255\n41694 97912\n66668 83010\n34063 91563\n41101 77937\n37203 84751\n46085 53974\n21811 83790\n50748 62920\n12921 69453\n52740 94292\n40851 50842\n73246 75366\n11109 85431\n59493 78110\n1796 33277\n69597 71483\n41930 53661\n34269 85467\n28697 69207\n23363 85110\n34718 39569\n59190 88819\n76666 83823\n46526 88768\n53690 88318\n26223 38092\n16136 84247\n80414 95185\n35033 70430\n63153 93817\n18813 41021\n47683 69904\n2663 80696\n27579 93343\n15287 79474\n47470 87615\n23319 70364\n26841 85046\n65251 95305\n58633 59367\n12792 95143\n6865 46551\n5498 8898\n16543 52096\n5054 81776\n46028 77679\n78972 94434\n42529 74334\n15106 27003\n13979 72132\n44237 58583\n81604 98930\n53488 59705\n34538 43928\n30890 49620\n31088 95711\n3629 56742\n72862 82352\n45544 64718\n38911 94357\n76784 94467\n6388 86065\n51307 84354\n13698 34421\n50700 89518\n53155 72517\n22841 91677\n2532 22290\n34021 37002\n12533 60550\n26423 56544\n6675 30693\n35339 83680\n5652 24645\n74735 94700\n71253 90020\n69024 75914\n12642 85674\n5733 54750\n20359 93056\n2197 76058\n24799 49221\n57461 86677\n4204 48526\n3724 52631\n26905 63082\n13470 76995\n42704 60924\n19278 67168\n18871 57813\n34497 91232\n61393 68955\n82040 82478\n58801 87073\n87905 89308\n72201 78437\n34412 86029\n9075 40466\n68976 95426\n66900 97012\n82090 97920\n34027 49385\n51340 76213\n55761 70020\n14259 61062\n48547 52379\n30829 91391\n38304 89372\n43702 47254\n63579 92654\n47577 53577\n21110 73991\n59755 77343\n30356 99454\n7300 19230\n24263 62544\n16838 49892\n1078 63686\n1723 2849\n2079 39385\n68937 92580\n28925 79231\n32656 66641\n55961 84738\n58535 82845\n26190 49824\n23643 28584\n1133 66029\n9729 64098\n28524 29432\n24360 67939\n375 57328\n48361 57234\n19835 55829\n38500 75348\n20483 62385\n7067 75366\n33636 85558\n93470 93740\n4040 17560\n33472 61850\n14621 92105\n26263 65791\n63331 64506\n11789 99164\n45257 87324\n62832 93788\n33615 40858\n64146 98794\n32502 92010\n80645 94653\n6769 52031\n60246 95793\n32255 38099\n26836 42797\n21326 21970\n17128 92283\n13820 51479\n28316 80211\n51087 68985\n83652 87347\n14126 96108\n15896 79478\n4089 97199\n42932 60421\n57444 82144\n39167 73123\n15892 59557\n30550 88460\n74849 87578\n27517 72450\n35871 51976\n20737 23138\n88183 92001\n7312 76355\n56699 98214\n6199 90854\n15319 74917\n9209 86495\n2786 11087\n55309 84943\n28066 74431\n60854 66985\n8925 25849\n24271 38047\n12506 32156\n15213 18205\n35660 88583\n68140 71618\n50596 59690\n7177 52799\n15524 38347\n26768 40926\n58209 92665\n48189 97051\n87068 99409\n16493 84870\n55318 59941\n12064 44618\n23399 27793\n12593 57394\n38944 84495\n25463 46221\n5050 63398\n33082 58874\n44035 91981\n45275 65712\n8859 42011\n62844 95079\n7439 22542\n15400 93406\n51773 70937\n21820 60191\n23745 78121\n18456 41090\n25264 54908\n34087 91387\n23768 31223\n6293 70576\n37682 93188\n75547 75744\n4733 11524\n10155 92679\n6685 27633\n1745 3031\n9800 21431\n13531 70486\n89776 95700\n64985 95361\n31588 54111\n5886 82765\n53189 86352\n29078 86365\n6524 88873\n23176 36706\n7108 19186\n25900 72646\n22625 56395\n53498 58079\n53280 83342\n33151 58645\n47700 98212\n15123 97844\n16388 43492\n21106 99050\n84522 99580\n49013 54929\n31047 36353\n13959 20640\n5658 64154\n28272 64078\n7096 53741\n59171 59449\n42190 86684\n4274 10822\n57955 82280\n41949 69836\n76514 83010\n23802 46648\n10266 58209\n13726 60182\n13277 62904\n30754 48947\n10248 93110\n2644 95861\n6721 73454\n23872 27658\n67786 76599\n36416 67619\n13103 37618\n25222 42634\n37425 52868\n58290 74321\n8588 40950\n22861 91032\n68040 88674\n34894 73364\n38795 86545\n15556 62162\n31027 61762\n10623 78094\n9919 57245\n68640 90579\n44680 45575\n49094 94337\n2644 7980\n25572 37197\n15117 28020\n15142 65223\n30299 85031\n49545 74711\n3664 9653\n30420 35206\n6452 83620\n4530 97007\n1450 8208\n55556 67003\n52045 75012\n29254 46459\n24665 82594\n24693 79359\n31442 39046\n12692 93524\n85888 86210\n77579 90090\n75345 88127\n49923 59641\n39389 62006\n13731 23371\n46217 53247\n7275 60511\n7488 26355\n29147 32371\n85948 94519\n5670 37115\n25259 89195\n4477 64739\n5568 63212\n17184 75623\n54264 98937\n27004 93407\n41872 81328\n35319 41372\n27013 74275\n29284 84813\n5429 62934\n80380 88239\n20061 37948\n18864 95358\n19792 35787\n44172 53724\n75431 80693\n27993 72285\n10151 96305\n47302 87569\n89810 95853\n13312 41672\n7792 90813\n42478 82880\n6744 49293\n35355 86786\n19305 64108\n13767 23231\n16159 65914\n10647 43437\n58488 96747\n22318 31250\n3036 32851\n18509 69628\n37786 73733\n1202 85996\n6467 74311\n15840 75788\n54431 78290\n52757 88413\n19382 44098\n15669 28265\n365 68464\n23869 50381\n7125 44440\n26456 69812\n65545 95460\n6764 76333\n31426 35041\n66135 68831\n45936 47624\n37894 82307\n59673 63245\n5966 62623\n30199 60861\n52241 62315\n27348 42842\n44747 62818\n37486 47536\n54137 90263\n34622 93003\n32023 85777\n20710 47394\n26154 59277\n16963 64765\n50794 73779\n34871 86660\n29644 76580\n58776 97353\n33811 96774\n9130 39597\n21799 76474\n17698 95279\n47513 93163\n28469 80382\n46166 92709\n33188 79583\n82146 98812\n52962 70795\n15213 18010\n18664 82255\n9476 64992\n2348 26953\n62093 84551\n55863 74300\n32668 51300\n19775 66009\n14700 82532\n50777 54717\n20576 37992\n8469 75290\n72031 80645\n34764 47265\n47358 61261\n11644 31416\n48017 90770\n12977 44231\n68583 92421\n27368 64742\n54306 86052\n58731 87213\n37943 59453\n3710 53451\n33912 50863\n13830 21159\n46740 67411\n11704 14047\n47274 58743\n31506 55958\n30655 46679\n4477 93183\n2741 67078\n67124 92393\n43891 57682\n19160 40867\n65496 67262\n12884 86629\n56928 92831\n80361 99855\n1991 24846\n4287 52270\n37284 74826\n73823 74545\n55840 59908\n847 74522\n25645 62802\n1212 54078\n27824 79137\n93676 99878\n36374 79643\n35242 76561\n5804 70527\n29021 47790\n68453 83335\n16641 36059\n51847 85087\n74017 91611\n26089 80099\n26019 32352\n13763 32616\n9727 17664\n52403 79772\n49456 85370\n66243 68958\n1329 18172\n74362 85149\n49258 80985\n950 27980\n11681 48750\n82080 98005\n14012 72220\n11877 82130\n37104 67068\n6497 60018\n611 49887\n26224 88132\n43148 73530\n10547 89605\n53094 61395\n55203 80540\n6976 85564\n87362 93366\n69597 81220\n58811 99207\n64170 93837\n353 58129\n6725 37129\n1255 85058\n39342 69339\n42192 51316\n27596 77638\n25045 73410\n29959 70383\n55626 74434\n31660 61986\n22462 34848\n62045 65169\n2852 55164\n33616 43015\n70125 97812\n72127 73103\n4722 61597\n7219 63688\n45628 76932\n18488 32408\n52825 53096\n37665 90166\n33527 57241\n68522 84632\n30522 55189\n60681 97491\n3546 65835\n1932 18778\n91273 97578\n223 45005\n10963 25455\n51714 59791\n54797 99709\n15309 97892\n31885 45571\n9550 46092\n77961 89512\n24035 97778\n6298 22157\n16058 55787\n27325 90480\n2279 37573\n14917 94506\n53597 54577\n28270 61830\n32625 66745\n25177 58006\n16051 46942\n55376 84187\n71185 82710\n39599 57358\n69707 96169\n64208 97975\n24462 55993\n27620 52069\n9697 63921\n72467 98760\n17086 41918\n22022 96852\n30247 51700\n11046 31345\n9789 65679\n58260 64570\n67708 71788\n69394 81573\n62054 84307\n71205 87553\n57484 88473\n34868 76582\n7884 38761\n8088 50115\n65295 67301\n28963 90487\n31928 65041\n12760 74562\n3688 45193\n31173 64238\n79139 91040\n16188 61412\n38503 45061\n45973 89171\n68386 84468\n11279 93543\n62606 82336\n56812 94175\n3835 4404\n742 94619\n61091 74402\n32215 56578\n17239 37802\n22676 34279\n72254 94279\n36446 47936\n3188 56516\n61214 78390\n7535 63729\n13193 42160\n64998 83089\n3591 81802\n7278 39121\n95565 96101\n34407 54033\n32550 96400\n54742 88573\n26101 70818\n8203 71500\n17493 80369\n50683 58764\n6252 63519\n18642 88584\n48441 75527\n10512 79322\n16982 25955\n78357 92514\n25940 58060\n20818 43715\n13131 77570\n4994 42450\n62138 85995\n4296 89116\n17754 93003\n38745 72935\n24725 99710\n22649 62259\n76047 87371\n7484 63720\n4270 42859\n20724 47715\n45392 73409\n3021 38795\n6649 85318\n78052 98853\n889 45170\n49904 65848\n28883 96128\n49919 99713\n84923 89578\n40154 47626\n84036 88067\n2442 88143\n39835 96732\n79479 90420\n38434 59879\n34961 97094\n4419 69552\n37465 60525\n43355 77012\n67174 92885\n65850 76335\n171 60502\n10715 35028\n7038 80819\n737 5721\n4661 73723\n376 3323\n15481 60757\n27847 61977\n39626 49858\n2040 38493\n31890 93378\n8746 98714\n7526 79133\n55579 90174\n16801 53296\n4141 11667\n71784 94739\n13251 15034\n38379 93981\n18504 50315\n39687 74094\n4007 60962\n19236 34711\n56781 65708\n54643 74781\n9474 60192\n77370 84077\n8299 87970\n45548 58213\n23592 30661\n28852 79621\n9852 77793\n35098 70489\n83164 89749\n16039 94424\n7565 78121\n57207 78855\n15369 69984\n29171 72113\n40234 49785\n58339 84484\n40032 96297\n9057 25799\n31678 94848\n18227 46535\n16412 66558\n92106 97615\n12814 67104\n15252 95615\n75505 83290\n24053 98593\n47341 65011\n9688 38062\n12636 65594\n208 89371\n5350 62856\n55694 68566\n39666 89005\n6241 23278\n5844 16891\n71003 94055\n17042 98338\n75680 95206\n31158 51982\n39721 60571\n57835 60797\n7693 69595\n3332 36046\n86068 87190\n29121 80107\n32556 98462\n76877 93736\n40494 63038\n18188 93673\n80106 88297\n59532 78518\n61915 65536\n50723 59816\n7866 62805\n52473 72164\n14372 16574\n47173 87116\n90440 93872\n34217 45831\n27688 59950\n10325 57682\n7470 62533\n17173 41630\n43171 81454\n29373 37241\n27549 51118\n19818 42591\n24240 59407\n51817 62493\n20242 34678\n54227 61678\n3631 76315\n54562 90195\n37535 40909\n52260 95396\n20602 55201\n16172 60267\n35057 98148\n16857 75929\n54844 60842\n36538 71149\n53358 87188\n39578 55440\n4818 39151\n66704 81490\n87627 98325\n74890 77977\n6361 6859\n27964 33119\n53681 83083\n27740 29611\n7807 64852\n18595 80265\n59608 89133\n49390 98677\n10536 90248\n4460 29617\n25180 65136\n69526 93888\n56323 80474\n60472 86002\n42476 91550\n75628 89144\n8257 89711\n15255 62078\n52699 80628\n49666 66105\n15919 24875\n3524 40443\n11103 22042\n51202 84190\n1095 94443\n52534 99012\n14012 36460\n75308 93672\n927 99770\n6120 25845\n54595 94744\n18462 71723\n31545 88268\n5431 90454\n31661 52178\n8355 66956\n7401 53706\n21391 41705\n26546 33599\n59606 94893\n23095 34672\n48015 91182\n53549 88168\n43932 73823\n4126 30681\n19231 67239\n50535 73246\n51676 99663\n19623 96249\n75951 92943\n47155 56638\n17565 74261\n47279 90216\n28050 86610\n22797 83196\n15424 16466\n58427 71560\n9010 47972\n47449 68005\n35541 52441\n4889 11154\n28117 41962\n49894 72744\n26518 62559\n47718 52781\n8852 19736\n69496 94699\n4127 50817\n11134 42738\n80742 88615\n12625 68405\n25664 42154\n50909 88289\n10257 93699\n70055 81323\n71293 82737\n37586 87473\n36960 42766\n43775 45264\n73547 75676\n9005 83069\n14517 91546\n59298 92695\n46295 94685\n21055 77087\n10529 91487\n11102 43185\n932 55438\n77235 84542\n25006 47687\n36102 75036\n21214 35919\n5177 36293\n43577 65007\n2040 73332\n71562 95186\n46313 57007\n27566 31369\n8175 94872\n45222 94602\n23777 60985\n43530 86100\n26808 83944\n50108 76412\n29940 53477\n49161 97978\n30427 44239\n29795 51882\n4017 49374\n42820 48660\n39003 42773\n37462 75977\n6029 39151\n10985 84629\n3328 89765\n57075 72291\n20825 23629\n29059 48734\n17454 20169\n31939 53697\n1320 72933\n40188 48271\n33690 87122\n25070 48295\n12842 77214\n42447 61355\n8926 90458\n11340 85031\n21204 74856\n22191 69969\n23921 76567\n4918 29760\n36570 53930\n9351 58450\n29339 67598\n41900 63662\n528 54211\n9158 23769\n48190 71517\n33030 66109\n44493 50915\n27060 71539\n24597 46060\n355 49060\n13670 78909\n9977 89243\n7888 89862\n52113 83466\n36007 90330\n3819 37576\n39440 94537\n5185 78961\n24658 62914\n16452 79500\n37187 88015\n89654 93685\n77734 86457\n55643 93995\n12083 36648\n31750 76404\n16234 98677\n70241 97136\n17576 40240\n55432 71864\n68036 84657\n13267 90067\n57327 84619\n37121 64750\n2008 31427\n8731 33847\n5458 54279\n45848 87960\n18817 37910\n17902 90948\n11253 51038\n49770 65459\n27385 72764\n21382 98004\n41944 68472\n84099 92227\n63982 70215\n6610 67809\n49782 80748\n19967 78465\n11049 54402\n84005 94476\n9104 86767\n43278 61527\n14009 19793\n3369 90480\n59574 83160\n11048 80856\n55369 92663\n33255 40677\n2599 88796\n20428 64914\n22033 37062\n19976 96084\n23667 94068\n8307 76155\n41408 45860\n676 6232\n7286 38926\n5644 21867\n76540 87153\n12911 47974\n34302 93990\n7200 55134\n34802 55430\n41510 83309\n45945 60825\n32996 85844\n24770 62528\n13731 90340\n24062 29230\n3190 49199\n17253 73478\n35292 68831\n25878 72490\n6004 34141\n89166 96589\n14161 23743\n17781 52780\n59409 91877\n68642 69862\n10803 69204\n22061 54847\n2906 86306\n12100 45559\n15321 50158\n74324 81056\n39434 96446\n1899 73323\n23785 40344\n43965 58651\n5455 96976\n55142 64265\n3475 11564\n73327 95581\n8761 28758\n40070 90404\n57170 97664\n32130 68326\n30517 94023\n57906 60326\n50176 82979\n37319 73593\n5186 49925\n37330 80655\n37946 54113\n5098 59761\n53030 78006\n72360 77897\n1803 37720\n48938 61096\n3989 84344\n30638 60034\n67231 81042\n21801 28684\n21599 34293\n54444 71007\n36614 67693\n29002 90558\n11684 65471\n38330 69904\n36511 87947\n32690 56968\n45451 57717\n37727 76456\n16189 59538\n31975 40830\n10036 38297\n66597 74990\n15557 42303\n11454 69748\n17782 90214\n36294 52600\n51721 67533\n31503 35333\n76474 92995\n73812 89937\n21239 93418\n17415 90461\n863 49477\n77377 91274\n25081 33753\n67430 80446\n33716 86632\n18431 38675\n60193 90288\n19704 32724\n18297 96334\n13264 55132\n93844 97693\n23590 35515\n26739 63933\n42358 96324\n54810 63824\n1695 61795\n3429 32079\n82847 86184\n88954 95972\n17703 41337\n3471 30117\n37274 98766\n52522 87983\n21532 40335\n62471 92108\n12845 13255\n24881 53092\n50741 81769\n14320 15356\n29688 42810\n9905 32580\n27309 92467\n16761 32829\n11952 96344\n60974 78717\n4680 33456\n193 1978\n37915 66671\n60667 83393\n70246 70562\n19580 34382\n81801 83505\n45262 62190\n7310 72767\n16304 39461\n12710 24480\n39340 51389\n50260 63502\n55938 70601\n31237 73857\n32914 93958\n68621 99193\n25304 84708\n226 26350\n15743 69558\n57979 89467\n29647 57338\n49201 96574\n41747 73113\n4455 23155\n2575 74787\n18720 90911\n4397 77114\n49537 67355\n24314 28508\n15383 46465\n7092 39145\n21053 75157\n20420 75525\n16221 90881\n41318 98614\n81702 92044\n42207 69195\n58762 97028\n24853 78989\n26945 41709\n45467 72993\n11240 60325\n29585 63881\n27648 64003\n12691 80443\n9129 88771\n37502 66402\n17470 94807\n31245 38610\n69071 98766\n14834 58091\n16083 51493\n61702 89797\n52229 59510\n13120 92354\n16297 17325\n27858 70770\n8172 38289\n6565 75580\n12079 31001\n39666 45068\n26883 43995\n94508 96016\n26761 62471\n39015 66661\n77178 88173\n45370 72358\n72365 78052\n42712 85098\n88750 95224\n30351 46644\n66972 79943\n54387 61825\n13335 79136\n28591 85453\n21405 79890\n24739 35638\n49475 75261\n1675 24627\n72142 92152\n22369 26963\n8040 42713\n4413 87226\n6410 61218\n12010 56818\n2476 77710\n31463 94944\n4330 35707\n11584 21740\n12562 38900\n75259 83803\n19119 60274\n4689 91434\n4822 26860\n66421 71044\n4295 85293\n25498 95742\n42630 85152\n33697 82218\n19200 32605\n2602 99730\n34366 64318\n15274 97771\n39578 69672\n16603 68019\n11356 46619\n44667 96342\n8879 55162\n60127 96108\n39714 54253\n22801 31722\n23353 33795\n71716 86131\n3175 38204\n79715 84065\n30872 60321\n32094 42456\n87592 90481\n24255 81780\n27416 32825\n27771 79765\n15582 98937\n16178 65594\n60079 95877\n27787 34974\n42074 93047\n36416 60301\n48885 95436\n13988 37754\n15450 87619\n14581 48305\n4412 10266\n21428 36093\n1571 76266\n26929 96890\n23705 99599\n33796 68166\n15575 64862\n52128 87715\n5798 39822\n6705 30959\n41906 99326\n23538 51209\n4347 28276\n23530 78600\n45523 81142\n72982 91327\n50655 98896\n10491 16875\n11016 55503\n56329 83515\n72220 76436\n37089 69031\n56394 97728\n51715 95184\n21657 42163\n12420 59792\n72777 83825\n70527 93838\n16205 96135\n35210 85910\n14857 61106\n45325 62178\n32722 44982\n57093 94662\n67000 98049\n56011 91789\n41079 95901\n45154 46879\n43062 44906\n92058 95028\n20091 99601\n21725 83173\n69487 78844\n21049 51273\n63348 85420\n25008 40241\n50484 82504\n50531 59536\n44592 92800\n5543 75587\n26101 96265\n80628 86260\n35611 69725\n38681 86103\n4297 34631\n34167 95529\n48930 68427\n42830 45227\n36042 93810\n23374 63304\n13032 45609\n23987 77993\n2293 65294\n26309 31541\n20072 35047\n70209 90873\n8704 80921\n51026 55546\n20088 65768\n65007 93291\n51972 86805\n33489 52378\n11619 48511\n47460 51459\n32530 55247\n14088 96631\n17814 22314\n17618 70140\n39218 85389\n50924 60064\n32923 80681\n22722 62463\n17779 47557\n11448 30555\n13685 95995\n85941 94164\n14264 22564\n23310 68901\n1420 26588\n37733 38627\n31013 70729\n34797 79205\n11603 45595\n48625 74907\n75357 87477\n11211 61783\n14458 50541\n30457 96356\n58559 83563\n84096 97344\n42108 60513\n46279 89492\n3256 58997\n23502 51646\n8184 73122\n34061 92011\n69882 83037\n7936 18250\n12746 44500\n30641 66940\n331 94430\n9960 56418\n1586 6426\n14025 83599\n36417 36447\n85731 94873\n27346 41125\n17503 88101\n57279 94949\n86661 95981\n46584 51148\n50877 63638\n43007 78182\n24509 41865\n1617 61363\n7397 21188\n59886 82413\n24088 89558\n54225 82824\n64988 94833\n26263 28318\n22835 83256\n14757 31422\n10940 90235\n12983 80551\n6023 54396\n43383 93150\n9875 90899\n5515 19354\n41569 85555\n55520 78281\n59934 82149\n24504 80561\n70462 83788\n9220 68715\n58260 86345\n2400 18291\n12713 84556\n72258 82050\n2729 26037\n13340 33468\n1111 28246\n5894 18617\n74883 97505\n5271 57253\n51862 60156\n13447 39235\n13502 20219\n15768 59980\n6341 90658\n29538 64533\n79416 94289\n70481 85368\n37217 58809\n15234 38510\n31953 38564\n53946 56021\n5034 58329\n33660 51658\n35011 71190\n45 45606\n68315 72714\n52970 56198\n10628 52631\n59012 59433\n9849 12734\n33527 70654\n21982 39160\n45414 57779\n2780 71772\n15289 25510\n4884 44881\n27221 37584\n9879 86617\n36406 48669\n44575 93382\n45597 98098\n4244 6971\n2105 70567\n61599 85874\n71548 98621\n31542 41239\n10288 63257\n34191 50671\n55390 84444\n22965 56355\n28769 46665\n2750 98041\n60144 72931\n51605 55024\n31632 41597\n43971 55776\n9133 28740\n34768 92089\n28493 46254\n11878 28978\n22254 55550\n39330 86280\n35797 77537\n27118 85977\n27902 49876\n6601 95277\n16721 62354\n16893 35288\n33541 86218\n23198 78107\n65599 98183\n16222 56520\n47517 76832\n71467 81984\n37735 94409\n82884 89614\n20399 21965\n5949 80206\n39428 84819\n24295 57893\n88522 91302\n43037 64222\n5244 77738\n2174 69825\n18605 51558\n68981 88242\n21409 94732\n7170 19409\n904 71170\n12393 85507\n46933 92567\n8119 18159\n898 37712\n54507 80963\n8878 14916\n12978 21348\n74557 86359\n16336 90555\n8723 15463\n28077 68825\n4271 31061\n94160 98805\n56344 75583\n36926 68737\n33734 87426\n37539 65329\n12192 68934\n26771 42830\n30737 71051\n20534 68745\n52999 96266\n52525 56066\n84687 88400\n5843 53349\n21720 56926\n34654 95579\n8803 99930\n19447 96634\n37329 54042\n21667 92625\n2762 28730\n27186 35291\n27766 53386\n17589 22707\n67883 89768\n21744 69232\n819 87024\n2470 13277\n8885 33082\n25693 72165\n4861 92245\n14938 74884\n63855 86853\n48933 97484\n31097 52592\n24546 70863\n48706 57479\n31433 68623\n51263 59032\n9595 99580\n49943 70665\n52139 54477\n19511 43270\n59980 76480\n17412 35514\n23364 67810\n19795 37658\n15946 73271\n66177 67687\n98104 98784\n6683 90112\n23719 89418\n21912 68846\n58843 63371\n88335 93778\n568 61776\n16387 65647\n44218 89592\n29514 84571\n1058 24186\n1995 39996\n70729 75941\n25643 48029\n30289 75576\n57648 80462\n9338 70485\n12254 78211\n5543 62958\n54975 97580\n3768 83462\n24235 95788\n66740 89389\n40884 98665\n2376 91051\n1921 79955\n14615 25111\n20590 29630\n21826 76124\n10966 33709\n26866 97047\n20490 93719\n55138 61944\n33406 96504\n4241 34526\n61716 68410\n4769 63251\n21181 30085\n21518 63765\n18077 81969\n17541 58145\n45915 78047\n7221 73058\n32257 96862\n5193 84325\n38959 48218\n29258 37972\n5014 14026\n30619 65766\n30748 45173\n11079 29746\n14380 97244\n55514 79459\n54209 71710\n52155 81695\n58618 61341\n1634 72669\n56106 82209\n58212 71978\n38595 96078\n24715 94243\n43585 82959\n20590 67803\n42132 97436\n60595 72315\n38748 68899\n20557 40319\n24289 39499\n3926 56370\n12263 72224\n16075 47179\n89470 92543\n76559 79667\n36385 58944\n25794 54633\n12990 86074\n553 50874\n76511 95846\n20261 52365\n21601 35832\n14510 42560\n24357 58859\n3100 88960\n57568 99554\n23305 31226\n950 62033\n21490 43280\n6929 53880\n97343 98703\n16473 93893\n25192 93930\n55108 62191\n6067 63292\n20544 90050\n14364 20995\n29384 82840\n26975 77426\n22551 25251\n76044 79382\n4307 83031\n27343 58259\n43773 90546\n3341 27610\n36696 81556\n60190 90355\n42522 84657\n21922 40993\n60816 80612\n75153 75784\n77170 91874\n13953 14604\n7205 35261\n27047 66201\n25674 33575\n67769 76700\n67781 74827\n53852 91951\n32388 75560\n40112 80074\n7838 56893\n60516 78492\n51464 52235\n13749 29126\n81971 84260\n15891 23407\n4401 9076\n21728 38965\n45122 81458\n59776 98216\n65204 66305\n50238 70537\n40 37543\n19968 34399\n66515 92888\n69291 73900\n46065 68053\n89687 95950\n34592 55330\n27842 74524\n31729 65079\n89879 99002\n29452 39122\n35479 94306\n31948 85623\n28167 86274\n68102 98094\n40650 55811\n10542 83619\n5182 90689\n4935 24857\n13348 89649\n47678 77229\n30613 53500\n62289 70751\n8638 10806\n5978 13520\n16853 56942\n19955 39829\n22483 24694\n43490 48239\n73249 80048\n71876 82562\n11380 28673\n19404 44603\n19802 65720\n18295 73492\n4001 53493\n21308 84466\n17571 31870\n27026 52648\n59640 66521\n51916 83112\n47730 88093\n38351 60182\n1928 45977\n29448 51329\n15024 17768\n64802 66245\n28723 67907\n47195 52761\n50738 94697\n9916 31898\n50220 54777\n5001 28009\n16803 90947\n18311 40675\n70333 84109\n46750 97169\n35563 41201\n79044 87021\n39432 61302\n12427 42839\n79939 94796\n61174 85880\n19417 59633\n63512 74545\n34552 98847\n222 89071\n50428 72228\n27821 84740\n35941 63407\n94030 99380\n50996 88563\n41074 45315\n31143 88512\n2350 36416\n406 29948\n11104 77912\n53962 90669\n38617 99261\n20023 76246\n2239 9949\n13819 90530\n1863 66913\n43246 50174\n40851 54748\n65607 83315\n72886 82238\n30661 76605\n27742 89214\n46661 50572\n47628 50979\n59401 85662\n13134 98704\n34589 73074\n3487 54301\n16660 49483\n21569 78642\n19824 77238\n23586 57334\n32523 65921\n771 98679\n4719 31186\n59807 81399\n52730 66841\n36400 81373\n6606 78643\n86478 87160\n45880 84724\n15282 39761\n71680 92442\n30067 97280\n5328 90876\n41219 79513\n70962 92103\n47591 70843\n62299 90563\n66174 89210\n76678 94835\n27206 77699\n16796 86134\n42110 83115\n17111 95979\n53390 98262\n15303 19914\n22345 55607\n23847 31514\n8611 19612\n77496 90434\n50781 88713\n17342 37907\n11899 79156\n320 49666\n16160 43051\n49214 80255\n75660 79482\n36502 59796\n35163 81035\n2521 62877\n40319 81924\n23019 74777\n23983 51393\n29156 47253\n38492 84136\n41468 50773\n38670 95628\n41121 82586\n53616 73312\n56954 82470\n38117 77708\n8888 59700\n44984 47106\n50387 76868\n17097 92950\n23489 30382\n37201 95202\n35450 67911\n40644 69349\n77167 96685\n53769 93407\n44339 81597\n51245 79326\n68166 95116\n17613 60501\n55369 61674\n28319 39967\n813 10500\n9077 30323\n69301 85898\n93514 95219\n4960 67858\n58474 68676\n65957 74707\n33060 54744\n17077 40978\n6073 88088\n47465 90807\n48078 73640\n51284 81167\n26575 94283\n4026 47129\n24534 38764\n52523 98782\n89751 94216\n64950 98891\n34429 98303\n2694 98524\n50473 58262\n51999 96651\n22343 48294\n10287 14936\n5808 98100\n24952 92552\n32363 42200\n16528 19566\n22439 85579\n44224 89158\n231 54147\n47083 98107\n23534 64556\n8897 62498\n1649 79863\n21116 37498\n54313 64933\n73467 74984\n50507 96317\n26772 84070\n56592 63797\n30255 41333\n28030 82620\n7585 46099\n37747 96479\n30504 70471\n75601 75977\n11265 70286\n46237 63373\n13311 52994\n59281 87739\n95260 99126\n59325 97799\n29545 42012\n75050 87468\n81761 83747\n11175 97774\n54148 72423\n26892 33435\n61942 68952\n31347 92466\n39468 99308\n16702 77411\n14906 53880\n4744 86201\n41009 83544\n18596 79132\n49045 58849\n9889 80789\n28918 65427\n13387 38849\n3508 27120\n23170 39705\n25311 57694\n9641 53570\n887 43649\n13801 23143\n9473 72649\n40881 93243\n10953 28674\n48756 74697\n2882 57627\n4308 5817\n49997 89659\n58199 72708\n75714 91777\n60461 70977\n11131 58833\n42628 96970\n13248 18079\n32420 59420\n3253 73615\n65360 89068\n85644 94830\n14482 33095\n5024 8740\n2686 31166\n36800 69131\n16343 61601\n34371 79833\n1254 33636\n88751 98745\n38917 60377\n45112 64318\n6298 19264\n31079 37967\n35934 80538\n61612 71629\n38506 66205\n62444 86279\n5864 47155\n57170 67463\n11930 53837\n39501 62151\n26505 57376\n34843 80204\n26930 49224\n15577 87624\n18679 96502\n22244 35072\n59408 63352\n54311 83612\n12544 44957\n5464 66461\n75548 96943\n9673 15750\n23100 76288\n21488 48957\n19898 43045\n5550 78930\n33054 47903\n4039 30721\n25359 67761\n10753 52138\n24978 29264\n41843 89969\n89303 91261\n91403 93992\n7737 91603\n41611 43135\n21541 41247\n48246 93159\n64498 66797\n62951 63030\n45761 69840\n58504 92990\n3626 69489\n131 98615\n7226 30862\n76989 91306\n932 29059\n48362 83304\n28515 70473\n21254 91830\n3059 36884\n13216 46374\n40192 80753\n23419 37804\n66673 79130\n39251 47147\n76926 86416\n878 94221\n21793 97519\n13229 31227\n23271 98573\n32154 52024\n22881 31083\n24968 48502\n37543 57019\n60567 65520\n13202 33619\n11707 54769\n78361 88499\n75193 99982\n78859 93182\n962 49573\n13102 86479\n46267 65515\n3447 61140\n16896 73692\n76813 95714\n61489 84889\n397 70636\n12154 67797\n42523 68742\n3987 17877\n86705 91296\n33210 77402\n56133 66913\n11505 17660\n13876 47127\n3546 37105\n36364 85809\n23122 59623\n10619 14147\n31717 73635\n26885 29817\n67104 83155\n45712 74470\n596 85600\n13395 98991\n1508 15139\n39174 44166\n51909 98339\n35712 76866\n11589 24813\n23492 55709\n43827 72794\n83815 91785\n15927 83458\n18123 59820\n45157 99105\n12041 21979\n31800 94963\n5222 71166\n14961 78327\n19481 57581\n18147 79543\n59252 84127\n38515 75761\n20908 37335\n62734 80324\n26840 70828\n3254 94871\n51315 76974\n89210 95362\n74583 89433\n56549 80142\n46964 78830\n79297 88346\n31666 40767\n17550 51893\n57302 70269\n36337 94981\n4764 23520\n92809 97914\n23151 97000\n7226 8720\n6278 57633\n59207 83942\n8600 57460\n9537 9612\n21069 91462\n29342 29881\n85059 99861\n65282 67680\n31449 69560\n17580 22791\n47276 71893\n38202 85242\n9992 22505\n5263 87332\n48253 66275\n76597 80757\n15846 22875\n3662 74519\n28188 92110\n41659 81916\n35418 96095\n4523 81115\n58427 84718\n3754 88737\n50822 94076\n78092 92640\n5075 65062\n3529 91591\n45429 80120\n92889 97338\n92308 99203\n10204 53454\n29046 69500\n86142 96424\n57922 98014\n15932 36281\n3704 42374\n24775 53069\n7784 9674\n62006 62550\n63809 90231\n7577 63621\n12029 25409\n28260 74029\n70684 75791\n15979 47226\n57380 90806\n96249 97098\n19156 27973\n4230 77551\n8897 90662\n67542 72844\n2431 27612\n25635 94543\n5104 58187\n15861 28619\n51461 54207\n55420 97793\n85658 97731\n19322 36625\n38486 38585\n10505 40952\n35726 70508\n48308 94618\n58040 94754\n44351 80528\n14040 35914\n27493 65707\n14902 81409\n19829 41319\n78658 96400\n30766 37637\n24560 37403\n56089 82876\n84608 95816\n42111 89818\n12483 34388\n69712 95670\n58065 88990\n71258 94688\n80523 94469\n36301 49707\n22342 79168\n23241 38200\n14348 61434\n35255 72914\n26031 76131\n51959 77510\n49424 53994\n6938 7986\n16665 41552\n18798 83415\n35135 75900\n28128 78526\n52208 81743\n79725 80386\n5445 89184\n2229 29215\n14106 98578\n36424 64016\n21145 84020\n62202 94846\n15682 71389\n66575 83202\n23950 76932\n13807 38847\n77994 99043\n51588 99282\n18448 60544\n28606 71388\n80851 95305\n16552 18453\n51139 60752\n52693 73061\n38331 40037\n74831 93838\n14418 70475\n11406 18259\n53229 96514\n45898 46464\n60014 75086\n25510 53484\n17341 88871\n37465 41568\n37060 84845\n2473 27951\n22763 88223\n70406 87167\n65108 92037\n5234 43024\n34526 46644\n7393 16653\n41720 77414\n9613 68177\n4195 51607\n9934 59644\n14242 72939\n2358 99813\n41719 64786\n16549 18228\n1121 58339\n6203 50088\n28080 48799\n25170 67942\n13445 56534\n23849 82012\n47623 85743\n8887 65140\n64163 85696\n16644 82642\n6002 85029\n33004 65971\n54890 91026\n26711 64602\n67351 95515\n25741 48123\n8054 61433\n2765 18796\n38393 43966\n82340 96889\n353 18210\n4520 89008\n55616 73234\n4241 44157\n43981 64923\n29998 84362\n6697 29622\n57176 88823\n33345 37145\n53324 73808\n73701 77107\n79255 88964\n34894 67580\n69796 72203\n4961 96581\n72409 83193\n43878 44057\n35766 94292\n62931 87057\n58293 68076\n32386 70413\n36377 41226\n18688 66377\n38041 91507\n28543 66060\n32914 49601\n7310 92263\n58502 74644\n33452 84922\n66404 86351\n1477 69031\n69702 69978\n82593 93282\n19253 91221\n35337 39217\n62770 86546\n4631 13540\n60077 97448\n66319 80277\n12262 48305\n14114 69112\n28298 97647\n9019 25201\n52999 97400\n31905 71732\n36073 68492\n37590 90891\n65906 85596\n28256 43724\n5670 53967\n15012 67352\n10175 99991\n7754 87796\n3368 48671\n30990 99040\n11437 37129\n57618 64257\n19317 53649\n4138 35978\n55697 68794\n25351 41072\n8820 98071\n27579 65267\n5469 16823\n8423 15718\n2310 26103\n42884 95219\n13233 50477\n5132 47850\n8147 61324\n41405 42285\n11137 31770\n41664 59954\n59132 93403\n1046 67820\n25133 41072\n20759 83713\n44423 51749\n39042 61654\n1851 9049\n26164 77388\n9217 98812\n35946 95810\n6397 34892\n50229 76893\n85873 89056\n4556 30856\n36731 79779\n85805 86177\n38526 80075\n44038 67935\n2212 31266\n53231 66424\n48535 53034\n30785 47969\n10572 45235\n43624 59740\n5121 23776\n7625 94714\n71965 98249\n28845 63530\n15628 71023\n7340 78517\n11758 65138\n18960 53163\n20628 73769\n29853 36383\n4368 45250\n11495 78233\n55393 74923\n14837 44774\n15722 99186\n41146 93841\n27625 36616\n38022 90626\n21689 76378\n52553 59261\n16728 44603\n8062 41519\n16200 91408\n67487 89485\n18306 85974\n29930 74376\n58450 98071\n73877 81412\n17323 93824\n840 15812\n52745 93513\n1072 99567\n49435 49965\n13845 41262\n30769 95836\n16714 17569\n58151 62988\n17420 28265\n79748 91692\n26296 59337\n57188 99116\n16656 35970\n18967 72121\n37362 73421\n45104 54733\n65354 95078\n1977 17134\n26910 78371\n64808 70654\n68133 80790\n760 39489\n1209 6561\n28446 32815\n51342 58362\n50518 90854\n23635 51261\n50269 72277\n11360 93017\n28218 35032\n36164 70523\n2024 73516\n6735 71502\n49164 63714\n1978 32007\n62168 89863\n2029 35657\n63856 88637\n47705 81657\n2983 10134\n56179 84054\n18358 53149\n19049 98187\n9281 99689\n48235 66149\n2197 85121\n7837 41736\n3224 50265\n7322 11897\n7634 78383\n17308 79162\n42287 73749\n12235 94060\n76039 87176\n28339 52307\n2168 68384\n18696 56557\n27839 30205\n57563 70359\n3737 18467\n21246 92323\n68758 86153\n9398 95909\n18583 33128\n9746 77166\n17097 95444\n25547 70066\n6389 90183\n21521 32895\n3017 12981\n4063 76889\n8582 25741\n27157 82348\n9969 71503\n893 39464\n36033 86530\n42804 54008\n37429 41354\n63569 67857\n52291 64227\n18385 36188\n93721 96179\n29393 40285\n9586 77998\n819 44065\n35806 40590\n2038 99735\n26372 70810\n31163 92389\n36254 56404\n9599 54447\n55614 89876\n31738 53734\n19432 22372\n50029 51346\n78254 93560\n55608 90692\n41552 70540\n62678 63351\n9242 55873\n92655 94749\n53978 65216\n45969 52350\n8093 62205\n37083 78148\n34447 54563\n27645 56836\n13337 59014\n4487 94423\n5410 81380\n34943 70371\n215 72841\n27320 62473\n2809 93141\n44009 52562\n49572 74473\n11800 48897\n77663 85160\n35756 94285\n27514 29548\n79723 97922\n41849 47427\n6920 51383\n18446 73213\n8827 43319\n51778 82186\n22717 46953\n4628 79564\n42862 72426\n3008 81698\n50350 86180\n23384 88044\n44402 96767\n87119 96173\n58002 61147\n20168 56720\n10013 55653\n26866 35589\n19521 90982\n41986 89318\n78602 96285\n15899 67454\n2702 84109\n15170 51666\n79380 83757\n26861 58429\n16213 59767\n6332 84747\n22078 75942\n12789 90642\n16628 90489\n13290 41906\n78031 89778\n51613 97179\n923 87574\n2413 27472\n12494 45839\n57819 99772\n6201 49745\n39367 50951\n9658 32056\n28256 56584\n25199 94115\n41142 93860\n18105 75460\n16680 39896\n29914 73798\n8494 43409\n1233 37136\n41688 67442\n87711 90141\n3398 40933\n2019 78856\n6151 69030\n51886 79030\n49794 71504\n4904 90133\n6699 28855\n59401 84425\n16402 94074\n14614 36886\n76092 90614\n2656 72004\n37178 73326\n37641 50274\n6893 34069\n51035 93212\n78210 89788\n4020 85241\n17692 78567\n21957 95183\n84368 92473\n12699 74320\n63684 69139\n3025 60179\n22798 86343\n23273 71277\n16411 97301\n19650 31675\n34913 54028\n41241 79794\n6329 76375\n74106 77552\n6684 27119\n9284 48796\n8484 76201\n9582 65047\n33176 37491\n36994 92632\n2997 92358\n21354 35711\n46061 61750\n19951 61316\n56314 65669\n51946 60284\n3681 58627\n49472 91882\n741 62112\n76453 98725\n7807 75157\n36499 99047\n23108 31819\n95417 99236\n24703 71527\n23537 79823\n5010 23393\n62786 97952\n5877 23561\n30452 79903\n89899 92150\n31434 59189\n4936 75852\n35318 71395\n8587 42258\n10529 78611\n34222 41071\n5952 48105\n9538 12771\n34818 79650\n20393 45813\n80432 95828\n31136 43790\n45526 99222\n12473 94848\n40689 99252\n62113 99746\n23717 47082\n14105 36229\n88760 89304\n19853 43373\n24262 63577\n86171 91502\n3352 67327\n48795 48895\n58934 87404\n16051 83464\n44755 99195\n14118 58870\n53657 65420\n2234 36891\n5041 45753\n43712 51043\n94333 98256\n1604 38052\n7151 9010\n48699 49998\n10030 88760\n94783 99875\n247 20357\n15754 22058\n20700 43840\n22090 60007\n2018 86979\n3795 43769\n76301 96586\n73290 77528\n12955 26640\n12806 17521\n1830 29680\n65860 69755\n22938 36226\n13387 13816\n927 1836\n8132 96180\n26185 62063\n7799 13572\n6069 55463\n2373 88061\n15003 79012\n59217 59516\n38071 61781\n22267 80249\n13178 16263\n52729 61247\n36241 46677\n12029 61861\n56758 60273\n56138 61719\n52781 57410\n20468 70917\n24684 50432\n39528 58892\n16202 76781\n45028 86729\n26742 68029\n14555 94890\n6930 55630\n17446 53811\n35429 76449\n35933 63731\n8571 53083\n60611 68425\n4860 91144\n22271 77762\n3780 10341\n24160 73744\n48738 90896\n40144 49950\n56021 66482\n21707 58766\n8138 54398\n11814 89903\n38760 53083\n7225 64634\n67013 95946\n7989 9779\n66107 66192\n37403 38012\n3252 42269\n37850 82321\n32816 99172\n42022 93612\n10799 35901\n509 57335\n34813 63311\n29510 47922\n69413 77862\n75079 88821\n66360 91349\n36608 83079\n55257 95801\n21962 26706\n34690 78386\n36046 75090\n18052 36403\n15501 40682\n38470 62315\n24993 52316\n11252 14878\n41049 87522\n27188 84043\n38601 44255\n47831 99021\n46873 53016\n63012 90258\n25229 96578\n22406 58320\n37305 42000\n19957 89332\n19537 63492\n59492 90784\n22400 78568\n11962 90907\n69405 69444\n17832 47625\n53824 82977\n81434 97693\n24949 60403\n48349 80605\n1041 97027\n38467 71523\n10661 45200\n43477 83568\n42583 50097\n23416 33518\n43513 55491\n67560 95813\n19438 61083\n52605 58953\n36695 74956\n24897 99175\n11269 31995\n4202 35140\n15929 46915\n4080 77127\n58925 61098\n47085 92232\n25152 78728\n14081 57256\n42183 52293\n14353 91493\n5164 48534\n36174 76130\n71371 88858\n32327 92015\n62087 96969\n37095 53262\n4173 96207\n52768 97294\n8601 46150\n29179 81307\n47127 86955\n1703 5481\n3936 70798\n19951 44057\n82751 88082\n24085 84598\n25227 70909\n19011 56514\n29447 79946\n8665 58125\n38682 63284\n34408 40739\n21540 99825\n16510 96713\n32225 41575\n6454 36459\n21932 42017\n23366 50058\n33061 68534\n37592 45952\n8262 25638\n28217 91682\n50591 75027\n24939 94861\n32987 43739\n11058 82992\n62563 72333\n11569 23950\n46820 60455\n80567 96066\n53447 90681\n17484 79310\n25171 63449\n47655 93645\n48423 66141\n55770 87628\n18406 91222\n5329 5586\n17039 18301\n14890 49235\n31302 73632\n61728 92143\n26418 49028\n55882 80280\n28344 48656\n3083 40742\n79833 97301\n25906 53549\n12509 47215\n1698 64328\n7395 49227\n7066 72618\n4732 74968\n17661 19415\n61770 95155\n72888 94133\n30989 87749\n20668 76317\n35173 99789\n19711 38377\n11739 75976\n19227 91821\n40619 96920\n27775 58622\n47527 93130\n8663 82377\n28920 38282\n7686 90559\n28119 56070\n45947 83448\n17102 28799\n26799 38001\n22758 29637\n42307 90382\n5661 74820\n8988 14389\n26900 42323\n63767 83164\n18312 41094\n18842 91554\n47537 98536\n3837 10299\n14209 54519\n60684 74588\n3493 61591\n56584 63034\n10648 95719\n36150 84767\n67687 72461\n36885 88484\n29820 62676\n16028 29333\n26724 81031\n5952 7328\n17232 37980\n2077 33411\n36770 44693\n47402 74535\n23106 77434\n79863 91344\n37014 68803\n5051 79867\n54614 72653\n61181 87664\n38062 68412\n17870 40447\n30055 77103\n18226 65264\n2605 39557\n10809 84008\n74387 98987\n34886 79834\n50575 55135\n33396 34592\n40650 86471\n99 33293\n76612 91370\n9784 21313\n3751 80252\n8598 71543\n56499 72603\n19307 64798\n10406 31130\n58859 87015\n15839 26283\n19641 72159\n8798 13038\n2354 20189\n2505 37747\n40964 79472\n28264 50830\n1593 9014\n19235 84716\n42343 76792\n8708 92138\n29396 60522\n921 35566\n45450 57644\n5548 57125\n24993 38103\n24539 46638\n36536 36966\n5949 95084\n4265 11680\n46552 47649\n23392 56258\n9493 55470\n50038 88843\n36299 97254\n12593 65353\n3980 43177\n84608 86511\n18688 48425\n26197 96733\n24664 72953\n24611 91779\n25471 49397\n97197 99665\n15146 50814\n3182 39947\n15831 46850\n12295 61429\n61668 86326\n5151 86719\n11956 81760\n91305 99386\n63627 90063\n82336 90630\n56576 90885\n43079 80726\n19938 28090\n46354 91311\n38013 96398\n30358 48064\n38636 71059\n9451 70778\n26097 88425\n40635 83865\n1650 81721\n32091 44420\n6092 69422\n4287 76102\n9164 46198\n25498 66516\n3220 10014\n36191 75289\n87698 88561\n22178 53947\n2156 9716\n13986 90195\n33838 89221\n91917 97526\n58122 98118\n26968 63640\n17405 22111\n11697 18962\n151 64030\n56895 85985\n82475 89481\n39170 93465\n58486 78557\n36405 92485\n38699 99749\n5334 41950\n12537 54197\n80398 90853\n15587 28749\n62962 67493\n52642 63074\n52073 63408\n25614 38899\n3829 68506\n19703 44771\n68209 71395\n18448 76773\n63398 94036\n6880 83353\n40038 63609\n70383 75081\n74105 84348\n22489 27699\n17916 28845\n39429 99834\n9607 56500\n52777 75453\n80860 82922\n18158 26218\n57829 88690\n17618 92911\n7405 63298\n72405 83386\n31974 78309\n58110 74241\n22346 34257\n46425 48972\n4655 52889\n32480 73273\n3993 94779\n72886 88992\n68888 87944\n7625 93152\n23243 92746\n27284 64191\n46142 94774\n21172 84312\n12205 39527\n46462 69463\n57745 79069\n16171 99723\n7843 22687\n3702 47452\n33047 55401\n40300 57613\n30302 94828\n26032 26174\n14875 21539\n63751 69578\n50145 76391\n17876 34730\n15302 77507\n7096 82176\n52158 84649\n30599 44231\n76322 97080\n37477 61294\n41743 65321\n43787 91708\n3606 40579\n5370 44768\n34474 69804\n18840 24235\n74111 96942\n12808 65860\n7287 34667\n29861 51654\n45361 57749\n11948 39278\n13898 93674\n44746 90954\n3546 46156\n28194 39105\n43295 71519\n19758 23281\n85055 96594\n70850 87165\n41805 98955\n72365 98213\n21411 71147\n26661 76102\n32387 67801\n81654 84894\n10395 69175\n13035 38418\n25232 30360\n16260 19451\n45227 81144\n43224 91625\n26255 43665\n11708 35936\n25838 85616\n12575 29368\n36723 87052\n922 93416\n67121 93290\n30192 91633\n15028 84932\n24685 25110\n4684 6628\n46521 95556\n24883 96369\n14712 21560\n50166 82928\n25523 31364\n68815 79210\n17883 35931\n436 16618\n30474 50183\n57268 59954\n50738 92677\n12418 43563\n55551 86118\n27182 27743\n39632 80125\n66954 67745\n5589 74542\n23380 52971\n12090 51238\n44221 60986\n10115 76001\n72379 84567\n7973 96084\n316 94774\n51237 81535\n85462 87592\n48637 83539\n16877 35247\n23052 35392\n33762 73578\n7426 39302\n44532 52356\n2035 30067\n47005 65317\n31576 41604\n14481 64410\n59443 94328\n10862 17233\n10671 58066\n15193 73894\n62220 87859\n34312 67340\n38768 82935\n13893 18135\n4232 15868\n5821 47737\n77637 96102\n52522 84039\n32419 41738\n26715 78569\n62659 86272\n27476 80891\n12561 42799\n12710 84690\n29347 42593\n39003 57331\n11704 27459\n67955 73094\n55475 63877\n19534 50273\n2745 40653\n5284 90338\n31639 47302\n12339 52695\n12708 19307\n35518 65172\n7499 88232\n2929 4888\n5995 44794\n84853 87718\n85830 92395\n66687 89535\n55809 81032\n48707 87378\n18214 55014\n58670 91059\n78999 93412\n29724 80800\n7564 18618\n17199 22661\n54960 66699\n32770 72889\n55777 81337\n10234 85348\n40968 79796\n52550 96774\n30351 49739\n36556 80273\n17264 30213\n53851 77250\n6904 41807\n27601 87954\n7888 26544\n67877 77941\n79500 87785\n38400 47635\n25748 29784\n26628 42025\n76623 99377\n19037 79933\n24013 40708\n15418 42401\n59662 77027\n77384 97202\n433 61731\n62404 86083\n83102 84473\n11174 64621\n18082 72285\n56987 71877\n14610 90626\n41412 95904\n47459 67240\n15435 96682\n85581 86131\n12916 68101\n56430 92839\n38685 62233\n19719 40265\n14777 45465\n87580 89354\n2550 28906\n11489 16022\n26236 47983\n24686 95404\n58602 71235\n17709 93223\n42543 58285\n47100 64003\n27029 35299\n46725 98114\n21087 68378\n51118 87079\n327 1357\n31497 79000\n43687 83637\n5805 62567\n19146 27686\n10490 96308\n18861 59978\n38661 94710\n1636 80801\n2547 99891\n50131 62463\n10389 51125\n5294 50219\n32021 80466\n30552 31447\n25050 41277\n29246 39504\n72012 87097\n2112 5537\n16766 88140\n30470 73883\n53803 90056\n48893 96835\n35557 56505\n13939 73138\n56933 80977\n60271 61939\n12984 61775\n44951 82437\n47914 86569\n53477 98280\n31954 86184\n38981 45934\n9080 64129\n23894 77339\n25896 86366\n65387 66545\n51320 57971\n34842 75646\n23061 77458\n16846 78418\n27768 99120\n6733 53801\n22120 31656\n18216 82194\n6527 23362\n41016 45984\n36985 47543\n31937 95029\n15802 65120\n27536 79171\n24687 26330\n11656 78665\n13915 60264\n11186 21917\n19826 92841\n17020 54121\n36912 60650\n32357 63597\n42751 63912\n22794 71037\n13559 84269\n16665 97696\n17536 56380\n34213 49868\n685 82318\n5461 24550\n72945 79169\n18895 22701\n9390 75876\n5953 53754\n24366 69017\n20336 25237\n47825 51455\n42728 69383\n5104 36505\n23494 57173\n15152 57747\n4412 14167\n15448 56784\n11691 11941\n3239 39550\n28387 68899\n33757 80981\n1098 80034\n29346 80051\n38471 54308\n14128 64526\n31135 47873\n79530 97055\n10174 87768\n3230 14203\n7395 17257\n35795 70050\n61041 93635\n18951 24969\n86717 87208\n41423 65697\n45468 79006\n6003 24343\n69212 81249\n45510 92722\n10891 75714\n24100 36820\n21142 43678\n66111 77311\n26368 63559\n4453 58765\n55869 59492\n21540 71715\n15522 56974\n64679 70293\n20159 36665\n7003 25087\n36374 83823\n9449 38707\n22118 71405\n16444 57502\n24744 40979\n11853 98013\n39060 73257\n61948 85105\n39667 49555\n74060 92986\n25342 62364\n65022 96563\n13412 13958\n52141 91065\n55900 92613\n52277 95055\n4139 35232\n35726 81155\n30230 77223\n27451 36382\n48092 61046\n43057 92971\n20369 87231\n44137 72047\n52772 55817\n15658 53976\n15268 23498\n19278 60110\n13151 15326\n6231 86128\n23230 69076\n21815 41853\n48930 55361\n67276 71602\n48458 90831\n18142 44076\n12 93464\n10109 64572\n19780 58956\n5385 72444\n28915 47590\n1857 13452\n42502 66569\n51137 65019\n47077 61294\n13566 29514\n77624 89734\n11532 11629\n65626 90964\n56242 68767\n29691 90483\n4992 77252\n33680 80898\n5798 95976\n502 58845\n30491 59218\n15912 86694\n6447 31892\n30232 64715\n81058 84309\n37879 47610\n34095 67313\n22198 99241\n66747 74116\n2219 98783\n58658 70825\n75858 77975\n80831 87156\n16204 50573\n61311 77341\n20364 50703\n5475 96214\n19224 73158\n56831 73061\n45606 82794\n84403 84486\n71889 85114\n9728 14158\n16103 39458\n50217 53679\n899 43406\n20740 99061\n11556 86073\n28075 86628\n47634 67889\n32547 80685\n78660 94965\n51262 64199\n6523 97811\n87127 92956\n10705 44167\n37183 46564\n22514 84179\n51912 69557\n81323 99660\n55203 81678\n45096 81638\n39532 42446\n68544 75779\n5644 71812\n37061 57821\n863 67840\n32864 79040\n33985 70842\n35173 81927\n20146 85637\n27180 63214\n5480 6315\n50536 94353\n87671 95072\n57553 85347\n8187 59659\n17077 98698\n4219 7419\n71833 97257\n3831 77110\n35024 45725\n10965 69994\n56409 96347\n92579 98251\n27436 32606\n17467 29933\n39696 42034\n2691 18140\n21037 80804\n55776 63310\n7778 76867\n44103 73004\n9682 89572\n53421 69310\n57640 69401\n50577 96396\n47840 60637\n9479 15711\n17682 51901\n24565 99715\n30331 89872\n7998 81916\n67510 83408\n2976 59074\n33717 59768\n1464 95232\n49437 56208\n19861 50955\n29541 62194\n9341 41584\n16671 43238\n25138 97049\n5742 41622\n8505 78026\n36736 77786\n24553 58272\n72016 88172\n50933 60698\n44069 80848\n17329 33190\n25267 52681\n38955 94231\n64462 67913\n13810 92169\n41975 96302\n4866 28774\n5838 89927\n83664 86201\n35953 74679\n13637 94352\n19904 64933\n40610 64343\n25925 56535\n36391 56524\n68149 93602\n1245 6355\n48137 60220\n39873 62294\n18639 54547\n445 54435\n60288 63477\n41468 88100\n29470 98770\n26697 88392\n8671 13259\n75660 97574\n69388 93201\n10275 60206\n55234 93469\n28020 49648\n23867 51398\n19886 20621\n15545 64106\n22351 96631\n64986 93689\n21237 52745\n40216 62544\n18092 32578\n75215 94901\n72642 91070\n36579 47402\n51562 63195\n48515 60594\n2185 73699\n14239 96462\n4213 83240\n90843 97238\n14101 52866\n43179 74742\n23610 24793\n85002 99677\n2619 43686\n16063 63338\n30830 75264\n27434 92642\n62936 67836\n7513 36972\n25 99769\n19486 78688\n5589 53676\n41947 97271\n26722 92488\n55079 68218\n2202 88795\n11239 75703\n63662 86566\n4561 53541\n35841 74701\n43311 52082\n27392 52963\n44521 51963\n27874 82109\n70994 89724\n38512 97899\n21181 34733\n17915 74704\n50395 91740\n5843 33440\n4971 20452\n56761 91754\n12494 15770\n61491 78820\n35403 49246\n15447 56212\n31719 64889\n45316 79025\n2505 50412\n11842 58703\n42002 69679\n32494 73676\n32073 55752\n72313 75128\n10685 54154\n13639 63902\n31702 99943\n13112 35174\n52701 68194\n33076 38595\n54965 91610\n9446 87867\n8684 37910\n5532 60601\n37193 45870\n83959 86892\n48925 78792\n38946 81165\n22427 37860\n58980 74980\n22935 46905\n63788 86171\n41673 63895\n31159 93308\n47494 60260\n86033 87428\n32352 62050\n3069 81138\n36833 83829\n44363 74909\n8130 71586\n12352 56936\n66800 87573\n1702 36695\n36046 74881\n22152 61023\n70903 84116\n84341 92692\n5321 81378\n22689 29606\n34194 34416\n16836 59817\n15582 94581\n35571 78032\n46093 83359\n9500 29166\n23818 44374\n26757 90388\n73756 78750\n47497 95119\n15702 22048\n36281 92129\n67186 85501\n35460 67387\n15868 83822\n43411 86464\n69786 87144\n11386 77449\n21890 71412\n65079 90469\n15767 22880\n61746 81732\n47446 64325\n72944 81799\n4310 81661\n39284 72933\n2914 69163\n42759 43574\n35643 70153\n49590 62696\n21179 69340\n76323 80137\n36475 42398\n29225 38640\n55283 92673\n4691 22046\n18976 84572\n43585 83737\n47056 67089\n15478 47694\n27236 57556\n41145 89634\n30912 99114\n35415 75406\n14488 79850\n36418 87500\n2328 5955\n57469 92075\n9379 15240\n1337 73680\n6093 41058\n6714 91724\n40580 51804\n84455 93522\n2832 47657\n43342 73845\n40675 96400\n81247 99962\n33101 50592\n13117 51924\n59345 92068\n5674 27872\n92602 94533\n6445 26389\n36254 66371\n22069 30828\n21159 55075\n34303 43347\n65596 97915\n83366 93139\n4540 81173\n6295 21108\n94773 95883\n40067 57062\n27515 65276\n21336 90766\n18175 52591\n31686 87693\n21868 24129\n15638 91256\n53584 74639\n37767 83605\n9608 23509\n41381 65324\n14876 76498\n7476 21906\n20480 28379\n27995 87414\n24781 99197\n12037 57007\n17895 88401\n5725 84006\n8763 12028\n30428 74714\n45956 80163\n19233 81291\n2966 61950\n78343 92469\n60208 86033\n5609 17755\n17084 66410\n44572 71997\n13765 39860\n215 18859\n11455 30529\n70678 88545\n10610 90686\n76030 96876\n29141 54033\n31640 35893\n23689 78730\n80063 89948\n34962 78303\n70185 96593\n30005 91272\n26120 71201\n76085 79230\n58236 88965\n43226 45647\n44441 78510\n36271 42124\n40438 69203\n53877 76083\n25285 47892\n55783 62490\n2669 78986\n17563 39941\n30198 48431\n35628 70815\n22239 99042\n44935 62423\n68585 78997\n60040 71382\n15249 99010\n9500 39778\n79140 82214\n4940 28294\n61591 73529\n799 71065\n38892 67113\n13866 85552\n20418 56473\n11082 54622\n30600 77066\n19403 31796\n46898 61908\n6142 31194\n32937 64494\n43798 92888\n25104 82009\n67471 88757\n12763 94687\n19799 83882\n59901 98067\n63046 80555\n72263 76053\n1268 79764\n65738 97508\n17532 79231\n51977 62986\n57284 86025\n5306 54204\n44861 51419\n27346 61092\n64156 94044\n44444 52213\n55381 94446\n40506 79746\n87596 99402\n75427 92051\n6268 65613\n16473 56626\n23472 84154\n26426 72843\n10507 48100\n60951 90652\n62655 75123\n12617 26646\n11357 95375\n5844 80638\n9057 21780\n69522 98054\n26904 32952\n55796 63481\n52420 87216\n33280 95913\n29341 91970\n47266 97333\n15618 81122\n1401 10965\n14540 90074\n22168 70162\n87770 96963\n12633 65075\n35120 68643\n36094 87609\n2376 72679\n26104 69020\n42876 57147\n39407 93141\n73273 79370\n93951 99757\n32343 37185\n5375 31720\n84297 88557\n19591 50414\n58277 59499\n24361 52166\n44656 96103\n51603 80815\n25251 70325\n64364 98016\n58910 85406\n11037 94806\n8713 66415\n27750 86752\n41513 58159\n53399 72205\n52324 81281\n44143 71212\n60422 84242\n31169 70678\n54897 81694\n4966 60437\n23752 50662\n7661 48440\n14413 63617\n26672 93467\n23833 94434\n48158 61089\n63964 90271\n95407 95747\n26919 82762\n12755 51652\n40319 55848\n50285 95225\n53118 59058\n3129 31885\n40514 84329\n49407 87104\n30421 41567\n797 51425\n17083 83843\n12412 15982\n45969 90722\n68824 71524\n15457 19262\n24361 36324\n23609 43886\n62925 70528\n41788 45513\n13583 25418\n61222 69196\n42405 46335\n48909 64685\n17089 98155\n42018 58499\n3098 57202\n45107 60925\n51616 61809\n18113 46602\n53127 72515\n15638 69542\n33814 46396\n22148 55802\n14913 33338\n14050 33865\n59177 98920\n75621 81478\n38163 41371\n36572 86628\n4130 72712\n20979 33669\n33200 62012\n65326 77277\n2649 81785\n55364 64918\n42440 62252\n44643 98003\n12652 18713\n24103 57710\n63277 96418\n6248 53967\n4617 38596\n69651 78548\n23566 23931\n17679 31482\n37676 55698\n43855 88338\n80742 96443\n35117 48404\n11398 49367\n78046 94667\n39444 48279\n46861 63537\n81 70067\n3809 78437\n37077 52478\n10230 26029\n10596 66728\n27955 91655\n44400 49356\n14562 25000\n1289 1744\n3000 32963\n42179 77786\n27661 75538\n1271 14353\n32562 62143\n49678 95393\n27036 94883\n4203 93947\n53517 80084\n29534 97715\n66372 79248\n49021 95690\n44028 52117\n38574 53653\n63625 91330\n36742 66272\n32389 91816\n23870 67178\n55289 96394\n43281 84595\n7257 67852\n44850 61831\n34216 97269\n34186 50312\n15601 54862\n13927 85400\n31877 61445\n34 30603\n70884 80374\n5811 69197\n27636 32983\n36035 65846\n9738 55336\n36416 71799\n33663 54859\n11005 95162\n12761 48431\n7233 10657\n68719 86221\n48431 86614\n11579 87381\n90615 95351\n77338 90263\n70158 74739\n42116 97670\n14215 79588\n27626 81505\n89981 99282\n2609 4289\n35964 86234\n23076 35560\n5513 62517\n4218 19667\n40631 54093\n55838 75316\n60368 92401\n25731 36440\n63537 72274\n71305 96805\n12656 98152\n82383 97973\n41919 57116\n82361 90417\n21895 41176\n39051 92537\n29204 91516\n62566 93107\n10661 64451\n40294 64940\n34262 67366\n37443 86838\n58943 82760\n84147 99756\n17704 46240\n29071 92444\n33131 80052\n34128 81455\n17824 26762\n37202 86181\n33649 36213\n5165 15961\n18339 72881\n26471 27690\n31842 40295\n13217 59675\n64165 68637\n6694 81273\n76873 76992\n67323 84679\n46572 96026\n29360 55128\n7512 8895\n8241 95805\n68643 81857\n28734 97524\n44006 88347\n43150 94214\n57553 73357\n13644 16612\n1819 18709\n38680 57646\n20754 77353\n20591 86729\n13207 45889\n75593 94462\n27191 40498\n1982 83605\n62518 78338\n18189 31349\n20941 73403\n58643 81251\n24065 25946\n70270 91590\n23146 33751\n36705 81839\n11678 50733\n56925 73086\n18534 73538\n49342 55211\n28208 47936\n4156 97259\n65335 81016\n55380 67194\n11063 33736\n29483 46290\n28851 84680\n53470 67419\n22441 70646\n47283 73844\n34845 72923\n32919 79935\n59014 90031\n3454 48150\n16054 81690\n96364 97884\n60748 99542\n20972 41364\n43763 71885\n9597 22705\n7688 96989\n58183 78956\n14854 71782\n17674 57364\n36146 41891\n82942 91815\n39425 53040\n38465 62398\n11878 62827\n72094 92250\n45705 90170\n20525 24087\n24171 40987\n8185 76228\n60108 91107\n62544 79254\n15854 57331\n83230 91929\n56870 59546\n47144 96536\n28780 39169\n61584 73303\n151 98348\n8853 10659\n44742 97882\n39073 83810\n11220 98181\n15212 53014\n35557 70166\n59510 75177\n90082 98151\n31811 74423\n46917 84324\n42109 51925\n40145 68877\n27512 42883\n26147 70672\n7428 83665\n15447 89841\n55073 70968\n15299 86454\n32046 39394\n42864 59793\n11076 65081\n47191 59671\n29651 60531\n34536 83159\n32857 36929\n29199 36027\n33016 36587\n14343 67927\n7101 8045\n12324 99961\n49416 98635\n26010 57450\n913 76273\n23719 54846\n37348 57279\n67674 98154\n100 7620\n13799 77466\n43890 78300\n39841 59696\n50624 60707\n26588 66859\n47952 48506\n10186 53669\n13258 73799\n77647 78071\n3416 99812\n4041 72533\n11615 98998\n44449 51827\n51573 57580\n3874 60452\n44774 70794\n7404 36410\n27198 55615\n47653 50031\n9745 41263\n67657 80241\n37564 90503\n60981 78162\n57814 74629\n42344 86082\n37386 63178\n46400 97880\n35028 68107\n62614 77803\n508 63512\n15537 78893\n38289 58482\n65691 85746\n51533 80729\n79329 90865\n6538 53632\n18269 74853\n9638 70056\n14065 52145\n8116 84342\n64936 83972\n23129 56472\n26043 31001\n77716 79466\n41814 66764\n30943 59222\n39144 93499\n17663 38289\n45995 82741\n25224 87521\n5481 26454\n29079 93497\n45319 66081\n5108 69683\n28170 58238\n35 41337\n30389 43261\n42887 97467\n61143 62832\n50423 89145\n49739 72836\n40608 57376\n63203 78417\n34988 46470\n77490 94844\n3531 83211\n38234 75015\n9526 37882\n53853 79183\n10074 94113\n9064 32165\n74715 97328\n22786 99974\n34451 58328\n20956 23710\n15703 39532\n42900 81881\n813 50248\n1918 93358\n30024 77313\n11728 46698\n32029 51130\n13849 81506\n85472 95002\n69657 72617\n81129 96061\n48973 70133\n65793 91845\n37078 44857\n46885 69421\n32992 54922\n23633 71541\n71769 81430\n25948 61188\n84691 89424\n13492 62453\n73473 94929\n31044 72130\n4384 93025\n2052 93545\n10524 54654\n71428 80219\n37596 87009\n6683 21127\n31766 76010\n56275 77988\n14156 19475\n1504 98199\n7951 45090\n33225 63977\n8538 94830\n205 31128\n56927 57494\n6123 8179\n80203 92934\n11951 19126\n2794 96721\n54355 90957\n29155 99429\n25203 47035\n61935 79595\n73365 94658\n13279 47568\n57087 91531\n33043 34447\n41238 85969\n13115 36112\n4971 82374\n56622 57873\n11836 64132\n9129 96342\n28760 29929\n15545 97272\n19787 68166\n40406 68783\n40935 65433\n30191 40763\n26768 71258\n20767 38218\n12790 76382\n21892 65685\n40070 79497\n2804 47850\n27969 82781\n44629 75760\n28530 76385\n19189 59342\n74904 89357\n32971 98434\n12 80450\n25312 95713\n9863 57530\n45918 95140\n3518 73117\n17183 44486\n2863 32278\n66506 76083\n44160 83911\n80079 87232\n11821 23221\n28338 42736\n28154 92806\n38521 95816\n45420 81622\n19509 67647\n10110 10128\n61735 63550\n42396 63707\n75543 85155\n54262 86615\n45148 77012\n76237 82823\n44799 57667\n22024 84948\n19154 58420\n70843 81705\n88888 90763\n11299 77398\n20826 72030\n61716 70628\n21190 51741\n48679 70040\n17284 32480\n31765 79322\n9947 22050\n13150 54998\n3106 79794\n6148 49279\n90134 97293\n12918 27365\n16433 44165\n3841 36203\n22135 38144\n46995 96828\n31583 65662\n14802 94406\n65240 80806\n21515 66248\n8488 97934\n43473 73319\n22689 29431\n59315 79358\n74328 81516\n27296 61825\n29193 86067\n73825 94780\n69852 71853\n65557 99324\n21493 75649\n58351 66708\n33242 74188\n30934 51598\n17624 70454\n51003 59537\n35469 57981\n38270 59810\n45721 79869\n65765 67766\n48741 51270\n51524 89007\n19958 68883\n42327 84326\n34969 96428\n25960 96299\n71226 80112\n52702 95483\n40255 55262\n52364 98171\n39590 79424\n62677 66548\n18718 25642\n60773 86454\n33955 55980\n8542 51078\n33508 34437\n9589 32338\n59722 86383\n27042 40176\n66365 81019\n9744 27177\n21567 49306\n46157 87014\n42746 84005\n23261 40667\n2564 49597\n66496 99705\n37238 56232\n40320 58944\n34787 69989\n10226 27060\n67734 99436\n42744 52344\n4351 7505\n41286 85412\n1638 53269\n23752 74017\n44575 48081\n35499 97788\n61922 65036\n42771 98979\n56523 59721\n19846 58963\n59463 81416\n56138 82980\n28876 80107\n38800 44473\n32634 96440\n94279 98629\n82412 92460\n4763 41759\n27602 78518\n21267 40355\n59478 87929\n24827 60515\n79514 93060\n36296 60679\n7337 91196\n5580 44504\n84200 94301\n17281 84182\n30214 30310\n8121 76221\n65280 90938\n36582 78059\n15141 25718\n7327 63144\n33972 44535\n67539 92877\n62307 71528\n4850 22986\n32366 40835\n12267 22669\n8580 44857\n17744 49631\n331 76789\n28026 60229\n32073 48590\n52256 97577\n46510 89447\n6835 46701\n68242 84125\n6811 52540\n36770 69093\n35941 98474\n7424 42718\n24347 40111\n35243 64480\n63286 86413\n6721 30488\n21821 92754\n660 56414\n264 10373\n1645 38744\n44609 56507\n30438 32010\n47132 77761\n65449 73736\n17401 85867\n17174 28665\n8371 74744\n41512 66758\n36903 94593\n4781 77677\n26044 93525\n11613 61262\n40691 78154\n52050 69249\n24039 42532\n77272 92146\n19885 49307\n18389 91883\n64187 79502\n50396 86591\n64631 85920\n20285 64752\n53930 99071\n61084 93601\n71134 87693\n60151 71358\n43891 48137\n23250 43835\n14509 50142\n66192 99543\n35372 46429\n3143 57824\n9910 65103\n2828 71789\n8292 9085\n30610 79208\n35700 72601\n25029 40240\n20759 57053\n27283 34163\n11469 22553\n2725 24218\n12408 27748\n11534 82860\n47650 79181\n28519 58062\n79306 97857\n72426 95520\n511 22764\n63317 77711\n67814 93424\n17920 22976\n9202 27379\n43187 44472\n56052 62173\n38362 78751\n69389 91212\n71801 99563\n11496 75877\n59758 97756\n18103 77037\n69010 76612\n28383 95382\n63964 84010\n105 46313\n56120 92809\n65182 67964\n21804 31863\n24939 80477\n18934 58632\n40257 84329\n29566 75638\n8350 14052\n14057 53971\n37296 94348\n18314 26897\n57072 88422\n60777 86861\n6348 82072\n93090 95742\n73317 78160\n33165 71863\n43019 77671\n67760 79368\n11997 16894\n21765 74812\n1230 88145\n8900 49330\n11708 95793\n88752 99384\n41591 84992\n36816 87013\n28096 89647\n74778 76139\n47380 74859\n8619 21002\n8493 30079\n45449 55578\n72690 73080\n8311 33406\n65380 67191\n6281 52770\n50919 72826\n66134 75722\n12412 68502\n70232 99630\n74562 96118\n16644 60455\n7250 42948\n45967 95085\n64367 65711\n29992 94320\n5916 58961\n41855 53768\n16030 58731\n19222 96056\n47795 72781\n27492 47689\n16572 78047\n11806 14764\n395 22580\n13850 22055\n48117 94427\n36164 45592\n15618 77084\n13992 50813\n53555 71193\n38115 95694\n9625 70496\n17470 95815\n14083 59274\n65411 65624\n84735 86411\n14169 98540\n66451 75738\n18475 75047\n28792 43097\n33700 85762\n5706 28086\n79365 80097\n33218 74352\n4255 55148\n42189 46678\n45406 57953\n13642 81986\n42326 68423\n27911 30687\n93553 99288\n2358 30680\n11519 62713\n15563 67845\n55685 89922\n23153 26622\n16249 34446\n21343 67522\n888 22178\n31860 35343\n71755 81626\n18318 93387\n10394 10581\n3476 29111\n78827 94782\n34737 51649\n54738 90978\n7397 78526\n7145 92542\n89156 94976\n41537 51938\n51331 85569\n36633 96658\n47316 71532\n27264 96110\n8637 61893\n8166 42081\n27892 53173\n45883 75738\n52483 66578\n9410 56067\n44183 63764\n7461 34020\n45239 84218\n56392 96365\n20469 85171\n40159 70676\n40417 71055\n32250 50374\n81719 89580\n43555 55310\n34945 47890\n25258 57316\n28555 78679\n1508 39018\n23443 99018\n60314 64047\n40749 67697\n9840 73504\n84738 95015\n18376 58844\n27847 80248\n73552 89582\n2273 50700\n65197 89496\n22649 34395\n9347 49779\n46362 70709\n75350 77749\n38802 68113\n23698 47796\n42628 92677\n896 57262\n12186 26063\n86195 91779\n22273 67903\n43834 65133\n17397 95507\n15015 66347\n36511 96672\n6182 27408\n3988 31919\n1015 36196\n71443 71551\n13402 97171\n43840 99513\n21030 53856\n34670 58863\n58676 72914\n48091 87684\n9903 47489\n28977 35877\n63377 63871\n89009 95437\n422 38186\n26598 73220\n5484 32926\n31771 81632\n6660 64073\n32384 67973\n28592 94355\n35048 51016\n45679 62815\n7300 20365\n1954 40646\n8238 71551\n65577 76246\n45049 49867\n46959 51510\n25311 64703\n10245 97708\n7724 12007\n60450 80226\n33069 81164\n959 40174\n10213 26177\n2161 34873\n24682 33841\n97739 98007\n16690 66125\n55247 68057\n85867 92862\n34403 56751\n41219 81974\n12237 41976\n5734 99213\n77150 88313\n60980 92898\n19430 94110\n52481 75803\n49796 57493\n40217 44194\n21754 43285\n14913 75298\n10913 44365\n40430 42329\n1033 69461\n14058 43626\n6705 46868\n14578 69091\n501 83968\n34424 59597\n65625 72770\n40724 56687\n50756 86056\n26771 82034\n61446 89666\n6490 22322\n18945 91390\n37796 67060\n60381 61244\n5339 43581\n14764 27370\n40685 87584\n13713 37043\n49655 76671\n44044 87988\n46931 96077\n72372 95260\n49295 66735\n33265 97352\n40100 98455\n82402 96932\n22433 44080\n32500 34636\n12985 53172\n25546 91853\n7645 30613\n46037 85735\n34931 62560\n64409 88226\n37875 70429\n37856 86939\n82342 83590\n70021 81625\n32370 74814\n348 87372\n27197 75464\n60494 60923\n21703 36390\n4037 91691\n9551 61213\n64934 73884\n41272 50197\n24490 72040\n54153 62450\n56792 99786\n1389 52876\n45908 66862\n56775 60655\n13975 93897\n86962 95221\n39444 87105\n4324 88496\n43763 91622\n29552 77870\n42310 71350\n23703 81361\n45326 93143\n77365 83626\n7483 31481\n34307 96464\n19349 47975\n17172 55458\n13767 44897\n2246 90306\n2994 7932\n9558 28642\n24116 52761\n18429 40355\n28343 46208\n33400 39259\n50677 87532\n6675 26759\n44046 67893\n60030 79331\n8337 10813\n6728 50191\n24695 75838\n59763 89939\n4803 7495\n12151 48577\n3789 20082\n3215 59178\n27829 68677\n54229 69413\n42629 62500\n92799 99548\n26731 68694\n28920 75095\n46165 98931\n32627 49436\n28112 53859\n41243 91340\n54958 84032\n7610 25804\n63612 85544\n42711 45848\n94839 99684\n17854 95034\n39638 76571\n74414 84937\n1379 26958\n84013 86896\n65634 88792\n6176 16747\n968 54194\n47027 98934\n8809 23660\n27107 49412\n5539 76266\n85378 93128\n4931 69687\n26971 93403\n17851 67015\n75516 92489\n29697 64037\n31484 89190\n58909 69870\n42330 55977\n26781 56631\n15537 20847\n584 61488\n10535 46695\n66923 83505\n28830 64095\n12380 76242\n58332 77191\n25208 42253\n29830 30370\n78366 80904\n44287 87216\n36722 68993\n605 61949\n56461 61770\n25183 96076\n3914 69743\n17461 95465\n44578 87342\n37912 38915\n41445 97202\n8586 97873\n30074 36187\n8320 83641\n26967 90315\n4554 66978\n63984 81367\n5969 59923\n40554 54708\n9988 15100\n65222 87993\n16634 47866\n49360 62769\n67012 67521\n25921 39313\n62509 87891\n7960 73513\n25044 85990\n5793 38689\n46939 88171\n45148 81687\n77475 80662\n21660 84517\n7048 88252\n28967 72931\n29095 98354\n9801 61386\n63707 73425\n40385 59987\n15464 94062\n47370 91148\n34609 71709\n11382 74728\n69001 75707\n20298 74283\n11202 47653\n55240 75375\n48171 80115\n7801 38837\n82663 93102\n19667 80848\n28004 28518\n26720 47875\n89701 96972\n55377 86425\n83218 98339\n31507 51184\n23488 58180\n393 43069\n40838 68130\n44369 66098\n30840 86426\n48770 78233\n61165 95059\n52510 74921\n71919 80777\n13890 37170\n35819 98221\n43547 76910\n51058 95917\n49373 81296\n48982 93834\n60445 70050\n20704 79149\n9169 85355\n33838 66683\n57015 75119\n19321 87556\n37468 53040\n4492 50326\n34667 59035\n65694 75391\n20975 65303\n48264 61242\n42705 84725\n31471 95075\n1844 68213\n4301 48466\n20888 34874\n2814 67227\n41812 62942\n34688 83390\n26331 56518\n6742 32816\n10402 99182\n48325 86514\n37541 69591\n57282 65017\n56490 94490\n21305 84261\n3345 89544\n64859 89322\n16914 77044\n12485 58987\n55592 73925\n23218 44026\n49008 49290\n67415 73367\n50210 52153\n69676 92449\n89573 94711\n28833 73672\n6827 16922\n64825 71393\n7704 68217\n19017 62179\n79114 93858\n129 24694\n1089 92863\n27671 68511\n69987 87830\n75903 84902\n5915 47568\n38550 71773\n28827 36094\n48871 54450\n84874 93618\n31135 83073\n12030 85812\n34793 80979\n13702 98457\n8710 36816\n16263 93337\n28421 82359\n24161 91704\n25696 85594\n9842 93073\n11228 31510\n54900 91851\n13173 43908\n9136 50170\n1445 86847\n12619 94276\n38322 43228\n14932 38930\n16965 45117\n2318 58078\n30619 94921\n44005 81038\n31489 52695\n95315 98351\n19277 69511\n29594 37343\n14264 93411\n38237 52864\n86661 93572\n34185 62575\n56369 69476\n801 71605\n61101 89090\n32761 85041\n25708 43580\n63551 68362\n40508 62368\n49963 92113\n78339 99446\n25844 76401\n39983 88439\n56735 80598\n89225 91766\n40143 41416\n20625 46351\n25386 25992\n33515 46071\n79565 82278\n58941 88596\n5836 83242\n37884 40233\n2910 17618\n67191 79001\n1068 24634\n53247 72740\n32744 44998\n44498 92310\n32837 41078\n30162 88266\n32498 87578\n62692 92082\n48647 73984\n55684 89188\n52810 69091\n83526 98900\n7173 73007\n17832 65964\n81706 89879\n26576 43941\n42469 93888\n8046 74751\n23275 86202\n1619 22993\n46474 76707\n5112 54439\n21558 64047\n901 53138\n51346 68885\n25647 57368\n34559 66061\n9326 70254\n93936 97888\n41872 67634\n16456 82947\n66589 73018\n9901 57314\n33836 93559\n18004 67584\n44601 58646\n71677 79761\n709 47027\n8464 50627\n16571 93401\n94217 94739\n56385 80160\n48685 97342\n61870 74334\n88459 95961\n18725 81442\n14434 25974\n27608 42376\n7048 17445\n19307 45369\n57214 72225\n4371 19643\n79370 82404\n42521 43569\n30707 48058\n60982 94676\n2149 87303\n60621 84629\n44087 71454\n29293 38908\n55159 60919\n4374 61922\n11534 73135\n69 95211\n86023 96678\n23875 68823\n34120 84647\n14410 23380\n26077 64335\n2756 66146\n27486 92470\n10022 17986\n30843 42757\n34353 37235\n19350 22925\n23220 69891\n30158 66672\n86007 90635\n66997 79838\n34200 79247\n25243 55861\n12511 42925\n84705 90666\n50723 85637\n23953 96355\n9142 95824\n41161 97514\n35184 40611\n523 43582\n23121 77929\n39842 55768\n3929 55567\n67977 88538\n6349 33119\n15088 23072\n9298 9599\n37853 80791\n1884 68481\n35907 92754\n13875 88584\n48104 80048\n35473 62549\n4852 68601\n60711 79669\n30518 68284\n2926 56229\n50053 80229\n25364 72056\n27888 50224\n38071 44095\n88378 97754\n17678 52643\n63713 91940\n27145 63315\n21688 65932\n21003 40200\n32564 59446\n24129 66377\n51333 72201\n12100 77633\n92543 96577\n38969 74743\n51745 97236\n13373 30676\n29760 55006\n7342 30385\n21977 62478\n48190 70518\n83187 94896\n4743 54201\n51749 73016\n43076 93668\n30618 55465\n65346 88796\n18730 39999\n52352 88252\n21805 83985\n80081 83315\n59692 79598\n12739 41910\n19870 60058\n17806 37916\n1486 24958\n21524 83562\n47406 51480\n30276 92960\n15734 61608\n20722 44224\n32665 99059\n58636 65596\n36830 61391\n55122 87373\n61835 81184\n49218 90902\n2949 90321\n8601 79222\n16136 83127\n28351 30947\n33667 56228\n25888 95841\n16632 40596\n23118 29900\n46892 69313\n34558 45047\n8737 88495\n305 53100\n33217 59385\n18246 33970\n58020 73518\n29820 46994\n31363 53731\n13989 36244\n52391 91653\n8574 89754\n33572 95246\n19612 87856\n48223 62994\n47966 77709\n19916 82651\n39912 55444\n6595 69745\n81191 91684\n54519 97070\n4931 45664\n75241 85185\n16326 80824\n33686 59992\n29979 47010\n51527 68047\n26711 59281\n30258 70656\n559 77912\n33163 83269\n82762 93688\n15191 54632\n8999 76993\n40202 96043\n3430 9522\n13024 65058\n41784 73574\n40946 66462\n29922 53573\n34217 38502\n35222 55147\n81343 82945\n17728 23155\n20409 60667\n62773 71996\n50322 87479\n57168 70597\n19140 90680\n17011 19799\n33647 37300\n16054 29827\n43835 83713\n66837 90400\n46443 51966\n15144 27890\n50230 63400\n11194 75105\n7624 39823\n73243 81218\n90986 96237\n3993 48194\n75638 83461\n77528 78144\n805 98256\n47502 85951\n51336 93162\n59074 93435\n31863 81017\n33162 57389\n1266 51865\n82747 99217\n12983 26366\n16238 20545\n37380 87365\n25540 32105\n1998 70606\n18747 80588\n45104 75638\n66219 67674\n23720 79885\n10316 18179\n47522 65802\n3765 83784\n11992 20582\n60097 99367\n2336 15499\n27643 83307\n38586 72146\n77204 98907\n30235 53901\n39832 94338\n20654 54640\n81910 85494\n35918 48819\n39882 93867\n15873 97196\n41558 45139\n11846 99833\n17970 21551\n17421 49195\n2053 84470\n53254 74090\n39563 40300\n27068 40130\n80320 99529\n53488 71625\n4849 93305\n37307 89000\n49952 89990\n10240 34864\n14662 73189\n9499 29855\n80113 83353\n19946 74125\n16598 72430\n28308 43862\n54272 69439\n61365 92081\n12628 75284\n4424 37047\n19209 32612\n32188 66822\n22849 62640\n31996 69887\n5007 73286\n12454 33480\n28440 96848\n84221 96755\n31723 40436\n7483 23661\n37797 66124\n75446 79401\n33869 86672\n2299 68685\n18116 64184\n12216 24000\n25706 80636\n3737 46766\n56687 94056\n49260 67241\n38805 63233\n38537 71038\n28884 36857\n27193 47631\n22446 97152\n8642 46675\n45899 71710\n33422 50195\n41576 92200\n22944 42495\n2906 53017\n25354 76677\n53136 74108\n19074 85523\n47176 90989\n23034 39791\n48363 74597\n21175 77895\n24441 98224\n1579 93226\n17074 68911\n17516 98049\n47838 66305\n72058 99554\n60513 82226\n4038 82867\n75830 98763\n20849 79436\n32093 67615\n76966 97326\n67501 86610\n43615 84127\n56979 91450\n27188 38877\n26518 46895\n41636 96379\n56493 73249\n29290 68482\n9936 82527\n37842 89353\n11991 17468\n36180 80481\n35772 74883\n61040 99726\n37667 83919\n49723 84528\n40816 71634\n45371 91261\n60283 83635\n72504 97258\n29179 32740\n15157 36455\n60762 93190\n34378 41468\n10147 35085\n78549 96613\n27044 39185\n61695 83687\n25724 97231\n11976 40719\n60693 78067\n87593 97567\n6010 95138\n33297 70442\n20640 33809\n18478 69871\n8383 43979\n21775 54329\n8525 54866\n88426 90674\n4060 62689\n42210 72786\n43831 72726\n2881 25049\n57101 85138\n45886 97023\n46599 90044\n15788 46238\n29150 41059\n39959 94022\n44223 64701\n1537 84062\n16955 77968\n37407 91382\n14922 68601\n55735 67039\n29188 78684\n43907 83587\n78340 88318\n68421 85285\n41170 56377\n8037 53771\n2406 49966\n45468 66453\n13136 64807\n29216 41358\n44034 62401\n36341 48118\n26420 37129\n56877 86691\n23236 32794\n32891 71961\n71684 89384\n30074 74075\n14035 50757\n22339 91202\n15551 76690\n16546 86933\n50133 75531\n78131 99774\n33786 79553\n73798 92373\n40602 84845\n66838 98612\n12949 39516\n3995 96956\n3991 33129\n8341 18703\n50348 63091\n29746 40239\n46789 65645\n33052 37160\n10833 77640\n29175 38056\n33702 51781\n74073 78803\n50987 82095\n74512 76058\n23931 32379\n57138 71931\n30504 89549\n1798 92479\n7785 69893\n66855 93723\n11187 96054\n2779 62621\n58740 65582\n43519 53442\n30534 47790\n72940 95474\n28545 49500\n5541 20933\n13373 27391\n39520 90463\n16203 69550\n36478 71108\n31140 40918\n62544 97132\n43270 87406\n53770 67853\n41895 48867\n43172 60961\n21407 22068\n10039 87295\n11013 91991\n25439 73569\n11335 90896\n20571 69584\n9343 54316\n28201 87276\n19155 93474\n16106 63903\n27272 57851\n6580 56027\n96002 96106\n68665 90132\n1536 56947\n25982 52815\n20523 42561\n15374 17645\n10270 53880\n7457 20377\n55412 80190\n2542 94563\n30370 31513\n23066 45606\n5373 38258\n4956 98788\n20195 35286\n66170 91734\n9316 11964\n19555 48084\n13987 39336\n26133 88494\n60355 60475\n15050 31508\n61243 72067\n23324 72645\n31390 88567\n85820 87762\n54143 75410\n4437 8814\n29266 50611\n40335 57097\n70002 76556\n34633 95780\n45586 50907\n72637 87521\n59430 89747\n13960 77754\n5906 27529\n38582 41160\n39514 56728\n74083 75163\n506 48222\n65524 80345\n4345 32204\n60037 66845\n93278 94183\n3161 10447\n12792 40343\n22015 62505\n630 26210\n49367 99951\n72108 87258\n55547 75058\n63892 67267\n60276 61194\n91455 99997\n53856 66929\n27165 92903\n50833 92434\n51424 99626\n37466 39466\n32267 74047\n69765 74262\n83700 94460\n6836 66289\n51189 82191\n11689 63775\n1092 93213\n49562 69709\n49899 91105\n17591 82768\n23685 88633\n37008 39607\n25917 87720\n1366 67971\n40053 46424\n13435 90037\n10367 23655\n16986 21894\n47666 54595\n13181 53436\n30997 70216\n32258 39575\n77720 94275\n17115 50460\n44119 51299\n55822 93722\n71319 99411\n22071 40555\n36889 83032\n26381 38909\n28944 51325\n65263 76395\n1052 33283\n23025 75296\n73204 81492\n13620 74624\n22154 78415\n25336 53841\n58063 75629\n73397 81023\n46282 58327\n45925 53208\n23207 28417\n31863 62610\n12387 34142\n63320 96772\n63048 84912\n70275 80891\n32760 51696\n81622 87254\n53902 65976\n4477 76675\n26092 92771\n84154 93104\n43885 76898\n45274 59021\n45163 85517\n73570 89847\n79353 94067\n74918 77455\n31777 62443\n3996 82756\n74671 97608\n2508 47074\n1262 38518\n11392 44618\n22783 54856\n5466 52735\n34350 89113\n47948 82135\n9215 14987\n10472 46118\n69635 73121\n76765 77325\n47880 76728\n3356 67411\n44417 59511\n44677 78121\n58371 99039\n29898 81119\n67869 84698\n32054 64525\n46619 77040\n9836 10122\n10964 54211\n59433 82982\n3438 55992\n46110 72972\n19528 89723\n20336 86643\n52056 77062\n31027 59268\n50095 52670\n60385 76527\n42437 44632\n39874 51734\n30134 64955\n86378 94461\n17370 50200\n11700 61744\n5494 65751\n56495 70760\n30134 68690\n9895 75756\n43506 83131\n37225 96353\n29603 50025\n1616 93034\n39477 79062\n23254 50327\n34357 85115\n10140 94439\n21966 92554\n40572 44756\n77343 99983\n19122 98066\n28988 79095\n8488 62369\n20308 32553\n8808 83800\n51140 97179\n1889 26993\n23439 23977\n31121 85630\n37816 94192\n65572 66940\n69607 88758\n60473 94208\n7909 42554\n44335 55259\n22730 53508\n41647 52226\n14348 40071\n51835 99945\n12970 28663\n46797 97605\n47208 83909\n36077 48142\n48265 67217\n9914 42976\n36418 49599\n44826 79028\n4782 13576\n47923 92715\n43162 69193\n50724 78885\n22994 23765\n31015 92676\n21474 45206\n48715 71391\n65244 81767\n10907 69533\n14525 89302\n27193 54823\n33736 56982\n5113 57177\n9289 86939\n32465 76080\n8842 58732\n23923 57929\n44885 52040\n76671 93453\n83313 97275\n40635 80858\n35726 54074\n4315 26665\n19911 88443\n9077 63735\n60089 60803\n32466 70403\n64433 70564\n42692 58633\n17123 42021\n84995 87557\n37642 44269\n16849 63735\n46560 63117\n26431 82829\n36994 58592\n26725 74064\n15887 81091\n43849 93277\n16123 92720\n55418 93853\n24334 73850\n28640 54789\n1040 84885\n4400 10361\n2769 70043\n92227 94905\n51053 63951\n53272 88338\n35500 44350\n28081 75473\n36900 81429\n44860 99432\n46532 96645\n36380 84091\n56132 72621\n2666 32689\n65328 84879\n72056 81810\n9180 55429\n24292 31145\n43890 85301\n10927 50372\n3987 77428\n76747 98087\n40023 80418\n63842 98648\n17712 60483\n9481 73903\n61500 82899\n32137 85372\n45503 76875\n65257 72112\n23737 25348\n43348 66985\n6635 76848\n35897 60296\n68222 95953\n31419 54032\n1342 21179\n48338 86105\n37684 75914\n38419 96602\n7793 82028\n66819 84950\n16052 40940\n42434 79626\n90384 96726\n65974 74189\n46338 51578\n1595 98911\n23402 97975\n3600 93929\n1365 41669\n52234 73138\n23307 25719\n11964 58309\n32152 57972\n22264 89290\n10754 99750\n20708 66789\n28198 32100\n54500 82778\n26364 93864\n66666 67803\n73941 80479\n31228 63632\n39886 90208\n1796 40535\n2828 60106\n66779 82747\n6209 31620\n58467 81468\n58982 87657\n64377 98394\n37832 75923\n15492 26292\n23900 86825\n23790 75225\n23281 92349\n43243 44639\n40515 68247\n30934 64657\n40168 96988\n69882 85196\n84444 85433\n8347 91437\n2449 38734\n4466 12694\n40000 89031\n8674 69829\n58708 66287\n7663 26031\n15428 48582\n42233 47601\n14402 47899\n1012 72223\n55469 58522\n73128 99798\n5991 11954\n27762 32332\n2027 81688\n23390 75091\n5949 10633\n963 24012\n19016 89946\n43686 69857\n13792 79439\n9867 53470\n55707 96448\n61636 64008\n13686 20396\n15977 61055\n9628 83592\n34127 61815\n38237 63219\n8913 16878\n3818 14346\n66574 76620\n41862 87482\n32636 51141\n4591 71482\n78410 86199\n2899 41952\n15308 24254\n13713 22684\n42745 81257\n30320 69506\n42066 59308\n34743 94532\n64431 91004\n76607 96401\n61689 93694\n64291 93654\n88973 98905\n84636 86988\n50877 90114\n49016 53197\n731 35336\n83092 84536\n32537 75051\n41035 96549\n11044 24328\n14486 78962\n10035 15993\n58543 70585\n18437 63824\n17951 29523\n8919 11647\n30473 61039\n86664 92858\n70002 74917\n65192 91404\n24976 42152\n41372 42006\n19782 69154\n27899 42900\n12269 48673\n10230 75465\n39578 44394\n34171 63803\n4357 75007\n34554 77855\n6742 37049\n2418 17697\n7353 14502\n81659 99413\n3532 93455\n41970 77221\n38509 56642\n68899 88583\n52050 54569\n6783 35098\n16802 96131\n71659 81185\n65998 68449\n17806 21419\n74852 98392\n21005 29139\n153 25416\n57058 92476\n70301 80900\n6352 44632\n76828 83522\n10616 58918\n35305 80648\n39167 44121\n43633 74076\n88435 89869\n10050 15977\n82772 96967\n38842 77862\n38797 89842\n11933 17486\n29266 50288\n45606 86598\n53622 67665\n13462 41318\n61624 76459\n36754 99760\n7266 59622\n49063 94818\n83558 91297\n15593 53205\n4375 25052\n55379 86346\n41837 97923\n33603 88476\n78916 95875\n81058 88068\n26451 57929\n19658 22144\n15834 73717\n71448 92407\n8150 52141\n14528 73807\n29698 48962\n45380 81617\n93340 98797\n17901 82229\n32147 83592\n19722 32229\n13826 30621\n23865 74364\n79717 99611\n10754 72048\n2706 86618\n30423 48840\n6055 82824\n43968 72031\n29002 70580\n40914 62078\n5122 16794\n47418 90616\n56121 62058\n29784 93217\n8336 36845\n55842 98960\n44584 57317\n18021 46722\n78007 92721\n50008 72565\n23929 80762\n6902 70674\n17464 30763\n49757 99498\n29192 99879\n5994 89396\n1829 96274\n4302 51948\n5770 82504\n47255 64471\n80004 83238\n71975 92350\n22789 49251\n51354 68798\n67321 90983\n28069 41508\n416 5416\n1512 53443\n46953 47203\n8244 68262\n20650 32386\n18727 98507\n14881 72517\n52686 55543\n63550 70519\n49614 70932\n18863 92578\n17177 33619\n22937 54489\n15440 86243\n12330 70693\n2070 35107\n76701 79351\n4737 76966\n72553 74841\n45302 86854\n24028 28181\n29490 33766\n24307 98205\n49020 59323\n44418 56255\n53034 97944\n13948 39746\n69 21311\n14681 68475\n49651 84386\n81133 81671\n52845 74820\n21972 81977\n69393 74997\n30252 38653\n90884 98070\n35 84432\n17120 22208\n44154 50400\n31766 53986\n60668 97590\n53447 56597\n5496 78667\n50592 55716\n23888 77440\n84053 90257\n50300 82917\n19014 20891\n3739 94673\n54948 94516\n41028 85466\n22030 70883\n26408 27767\n64430 86346\n77680 91810\n23449 27556\n49930 84756\n18484 56140\n40821 99533\n12548 32857\n42431 73117\n16673 68546\n4655 83367\n33694 87841\n28822 69482\n21029 62380\n41142 63789\n33742 87534\n4961 96488\n98461 99641\n81830 99081\n62199 99170\n24546 81506\n13300 70609\n49005 65584\n83373 99873\n24662 54568\n40956 97789\n2919 5896\n4515 25549\n34121 53242\n23553 43468\n9056 9274\n4317 97800\n11152 59809\n10565 29724\n7827 43265\n12783 17101\n38307 55271\n75271 95391\n72455 85220\n59702 78261\n52607 83226\n45638 48316\n494 70074\n30560 42472\n43490 60826\n69753 70696\n3209 15148\n11090 72938\n52170 74230\n6885 38237\n59912 60000\n1544 50102\n22450 48479\n17537 64950\n1232 74470\n9211 91441\n383 14207\n90483 90740\n35248 94895\n36393 72454\n8425 11771\n2170 98556\n6155 38955\n9283 99036\n40800 90639\n9134 34751\n26618 59931\n27888 63566\n5588 9444\n14213 41129\n7222 13431\n51542 87131\n16406 34006\n3961 24873\n85730 90936\n30374 75609\n30 32136\n16548 42816\n71353 84158\n12801 29880\n66844 79949\n136 39246\n3745 43055\n54844 70713\n23867 98713\n46623 56802\n54360 78306\n87661 91438\n19130 91811\n2843 20379\n43125 53162\n76683 81795\n18610 28627\n8667 46469\n15499 81531\n53396 55514\n51752 73798\n3744 54995\n62517 77690\n33149 83723\n61105 75884\n45514 49564\n52310 75167\n29067 72871\n86318 86460\n21093 81956\n23429 52755\n4433 83077\n8955 78856\n28158 89831\n15501 44749\n26976 53052\n34702 79080\n140 26948\n31582 55440\n17668 90675\n19775 76201\n32157 37722\n29296 61237\n16008 38932\n85282 93547\n8590 76199\n37876 74363\n56708 91274\n18398 23715\n95594 97104\n59147 99454\n58255 70686\n22242 43014\n52075 75460\n3092 94871\n3300 39704\n33502 80422\n18870 60659\n71296 76076\n38476 48546\n23613 33048\n75789 99456\n10228 78110\n45196 95165\n27377 27599\n34258 77036\n25895 89695\n4122 34273\n31418 69843\n39360 47775\n33115 46331\n75186 99658\n10093 93065\n10410 32167\n16893 84160\n21668 64314\n15792 30019\n17169 25154\n42694 60395\n4624 5535\n25184 54362\n14997 42110\n3983 86597\n40245 58438\n3 13894\n1022 89332\n26440 73507\n62206 67050\n6329 44962\n28372 93932\n39254 87319\n45734 86548\n20598 89486\n4444 49565\n56132 98726\n53128 73973\n69121 99354\n39962 54532\n64606 86690\n25019 50158\n6682 11689\n27911 38111\n35717 61760\n59919 60368\n24213 98154\n75404 99373\n45950 86853\n57167 59696\n56116 60104\n6493 50381\n27596 41461\n58221 69787\n39629 42883\n3263 47225\n59209 71028\n7436 45940\n32858 68932\n7817 91112\n4998 5081\n39001 92093\n8906 70712\n44986 98184\n44101 63410\n36831 37964\n43027 48939\n16013 95155\n92146 94432\n14018 47939\n17178 49480\n80496 89917\n16196 99909\n85665 99348\n59547 65734\n69174 85722\n8051 81920\n69178 76397\n32396 53104\n45683 68849\n49136 55299\n66827 87608\n35188 74082\n75638 96802\n79632 92260\n27687 84842\n72182 99054\n43729 55821\n29031 91220\n32530 47304\n50356 77420\n38731 56852\n27578 92035\n31026 36164\n66118 99553\n10965 14992\n35827 65540\n75222 94945\n17114 25851\n40124 42475\n10194 58272\n53021 53375\n30095 36161\n3278 24769\n11837 40610\n62686 63520\n37444 49961\n53760 76954\n56962 74075\n3256 26149\n54434 65217\n87 5442\n82970 92664\n7609 45963\n20759 61559\n1393 50746\n27581 65535\n32617 56222\n58652 70392\n28705 35933\n55058 91807\n8550 25897\n61858 82836\n8996 10189\n24417 90122\n13112 40196\n21450 72417\n84939 85749\n3551 6904\n35834 91142\n20072 83772\n71727 74345\n25538 50307\n5147 87982\n10612 77843\n6460 72390\n81879 91269\n18169 27842\n45583 92454\n33017 57939\n5643 22173\n50263 69927\n27401 77046\n4326 60850\n6404 25552\n16799 35897\n39421 74812\n72548 81235\n67411 70848\n573 74754\n19134 91947\n62456 68405\n8478 81880\n35333 97896\n8751 53413\n25179 35695\n65204 94291\n7010 54524\n34887 68557\n55995 71181\n4541 70785\n45442 95969\n50255 83501\n45389 92452\n34796 54623\n10511 89343\n22936 56312\n48594 89661\n10813 66842\n41047 90665\n28447 70797\n19789 99592\n50267 50412\n24345 64593\n81051 87955\n19657 77642\n29581 83778\n36606 91936\n24173 46764\n44443 63401\n66366 84528\n27059 53471\n1935 71601\n30792 40156\n17918 32502\n47518 67867\n78944 94897\n34172 83231\n28681 48187\n2662 98585\n30443 92881\n36822 89922\n70812 78197\n54365 81716\n64701 96315\n24803 43192\n41067 43197\n42256 86190\n12485 22448\n12243 56969\n37828 76492\n48940 98885\n25397 81675\n25930 40578\n21779 28655\n45038 98571\n5603 54604\n17381 68579\n15926 86162\n14749 27914\n67404 91544\n62859 75127\n51751 87485\n15003 54781\n6704 88772\n59644 79057\n22299 87242\n31410 96523\n83134 92656\n33771 88833\n25105 29969\n35373 62956\n20254 68080\n74027 78185\n40305 67466\n75350 87574\n21395 62383\n40118 78350\n24355 79345\n2388 96841\n44325 96662\n1672 51800\n9650 37133\n32604 89290\n56326 92563\n84958 97475\n29284 73189\n3828 43028\n64672 74097\n42160 84471\n20712 28673\n27482 30533\n23242 71874\n9199 64526\n14853 24449\n35635 79567\n9256 9530\n9878 23813\n4483 23495\n5720 10304\n1950 39659\n1562 68508\n83778 89454\n3877 7285\n53017 90404\n6106 19129\n36131 49078\n15544 23416\n7641 76122\n59666 94863\n23456 84047\n29508 69111\n45376 92647\n4659 47531\n29477 48556\n8625 96851\n23937 34398\n25102 63562\n35863 49306\n33364 56424\n29580 63557\n17966 82431\n2686 4731\n5237 85449\n69451 92197\n5844 65860\n76815 94249\n9258 83068\n85004 88757\n24757 83874\n1284 92513\n40932 46428\n25311 63266\n20933 75224\n24665 96255\n12400 84698\n10563 52966\n65605 77623\n45638 50393\n21112 59972\n39563 50057\n46255 63255\n74587 80188\n6922 99889\n18377 35090\n4650 51584\n31605 81256\n42017 65909\n19860 86532\n53172 86442\n946 47321\n2191 2972\n70114 94498\n5882 17473\n7895 69682\n8299 8822\n85104 99933\n68694 71377\n1437 14161\n43771 69717\n30639 46017\n2598 73579\n31766 83746\n5298 78674\n10184 71454\n53460 90872\n67340 78601\n8469 68673\n6096 89611\n49844 50204\n33343 60318\n5092 96894\n64487 89458\n14867 98566\n21950 45624\n19758 21583\n25396 39293\n16632 50531\n10090 64723\n30189 69140\n5705 55903\n5612 83201\n14257 15234\n24435 30858\n96154 97182\n69647 74076\n87234 94788\n34553 48797\n19989 29074\n35797 53390\n15718 80999\n40956 72522\n9817 46749\n8095 70968\n7480 43909\n11492 28717\n45178 99961\n11478 49297\n1337 10685\n85519 98950\n6812 31222\n82277 96705\n17438 35971\n64595 69232\n72291 90030\n52321 88106\n73902 83778\n24315 64113\n16083 42775\n32580 61285\n37967 62594\n10356 34241\n8213 48831\n64430 90454\n59737 89442\n40209 54311\n48518 95068\n53877 78148\n42569 63999\n32969 49149\n12122 40993\n46838 47325\n71730 74523\n12108 20790\n14520 46083\n8832 28558\n67410 69452\n43834 98183\n2036 48355\n595 93763\n39355 80903\n25005 83058\n26324 70221\n12672 29336\n61450 94575\n72301 92205\n59508 99863\n1260 95423\n5821 15824\n8571 30231\n22427 68837\n26140 72781\n23750 86741\n50768 74039\n9140 35268\n17276 60549\n19721 60897\n28804 95043\n32233 96050\n12551 35472\n17479 21806\n2147 36847\n6749 85328\n39649 68359\n14478 59302\n24466 67291\n63005 96880\n14540 30929\n10161 45674\n15098 43556\n65316 89508\n18085 74654\n8550 56291\n81967 85615\n5074 86071\n33596 52978\n40770 50080\n13096 62119\n45402 90953\n17569 95252\n42417 48885\n59512 78251\n43225 66502\n61637 88052\n24713 42529\n45981 71462\n28030 35081\n39580 53868\n3987 46992\n35200 99655\n17674 49953\n26242 33959\n47411 48110\n19819 89528\n54411 72433\n55993 63476\n10884 77941\n11421 60525\n15203 43397\n81774 86419\n3707 47595\n13850 81985\n34588 56288\n31620 89061\n81499 94324\n56889 66806\n28434 87185\n62764 65647\n47044 51822\n1969 88187\n23621 31240\n26594 57012\n50666 54350\n25509 37422\n29053 59854\n4709 30507\n14417 31200\n37119 46141\n71 9706\n12286 26000\n61165 99992\n79806 88039\n34066 54172\n6809 46963\n5574 75586\n6732 81619\n9895 63368\n287 40761\n44568 48432\n21173 46191\n21114 53057\n8733 37963\n30133 42959\n34056 73032\n9004 93347\n29781 31937\n56321 74306\n77979 80988\n13941 76275\n55667 56900\n35768 68373\n48098 51092\n65612 80504\n1509 38583\n56837 74128\n51506 99789\n32484 87680\n59420 68295\n12701 37858\n18606 71658\n70195 82003\n4792 6465\n35040 61625\n52123 84520\n33302 38117\n34206 37286\n26891 98477\n6456 55544\n59456 78095\n45077 47912\n4693 58942\n6672 74763\n3272 64342\n4449 28128\n2939 23158\n81133 92661\n45519 59107\n15178 36139\n29948 69660\n3041 98326\n8962 10000\n44157 65578\n21904 99731\n15451 68100\n57423 91403\n6822 99797\n59279 77889\n44053 57342\n4413 75272\n20165 33753\n26180 93783\n3839 38638\n78259 91053\n40239 88143\n19148 21312\n662 66892\n16611 18522\n19381 22171\n84892 98435\n57671 59762\n20919 84642\n52340 89176\n16682 37750\n57590 85185\n13956 27683\n8979 23061\n61686 96495\n30924 37580\n32352 42336\n38750 79105\n33718 52498\n10705 37724\n85776 93692\n40491 40916\n58661 90020\n24938 46992\n78064 85152\n47365 52218\n41019 55528\n50909 55810\n19482 63498\n899 70724\n2104 59458\n3134 6633\n1300 10755\n23578 27900\n18762 23682\n76392 86864\n8728 61246\n75002 98614\n44392 62505\n10844 11550\n18539 63657\n19146 57859\n1142 62999\n18481 64977\n36578 48165\n52423 88835\n3561 37793\n17099 30002\n44449 63698\n11329 81656\n12061 98585\n19395 27155\n44235 91776\n41468 82462\n34182 74688\n16173 80128\n9300 97425\n10474 63395\n84445 89522\n39838 65249\n47462 82299\n45758 80289\n9436 75822\n54167 64490\n51372 57457\n16811 76180\n2150 15864\n9102 71530\n18638 92377\n38426 62481\n3920 85107\n5310 82574\n21369 87740\n10062 92418\n668 694\n68629 90385\n28729 90858\n10694 49294\n37304 96236\n16052 90830\n73941 91116\n77020 89988\n20661 68680\n63112 80545\n20520 90840\n16238 27130\n7695 89283\n67146 80644\n21049 38131\n83449 84604\n29152 31491\n77664 80932\n39971 52285\n10211 44793\n37827 79992\n14512 53960\n53425 55441\n54778 61101\n36666 70506\n41274 83591\n35925 84414\n25166 92944\n33658 78626\n14717 57339\n73951 75591\n40136 44518\n58565 86073\n54690 91742\n18500 33761\n47463 98465\n47877 52797\n8001 89261\n75878 88854\n63540 81995\n12067 35692\n26392 96339\n49511 77486\n556 97940\n28907 88254\n76902 96364\n30824 47927\n8728 40524\n29655 95913\n83666 84156\n2481 13316\n7089 49500\n13841 80845\n75789 81038\n27367 95396\n42912 83566\n9263 49617\n6989 70331\n46378 84845\n29109 60571\n23321 69263\n33727 42167\n22106 49213\n44570 95714\n21491 73013\n68543 74638\n7132 54818\n46415 88922\n6427 38158\n12247 51010\n34280 60537\n13432 66332\n4010 39037\n35231 95660\n1247 6175\n71688 80798\n35624 92605\n57555 60301\n5769 92583\n7307 13744\n8591 71074\n15698 94559\n5257 34531\n61828 88284\n39383 45347\n26691 36449\n18483 30858\n50130 82150\n73193 93854\n40912 74242\n13724 62543\n27994 68413\n32160 40741\n27792 28230\n34971 42767\n47894 91579\n44986 85134\n10617 47480\n4046 48199\n17649 23492\n12112 38241\n18083 59415\n17588 34834\n46340 53897\n33018 50674\n2250 57010\n71824 94735\n19774 22106\n78033 86613\n46755 54247\n34634 92743\n9400 43696\n3201 47544\n56302 63063\n25726 68355\n8213 30390\n27198 93919\n43981 96456\n46348 59006\n16278 82449\n72111 82469\n17562 21261\n30767 70817\n47918 56412\n17630 37645\n23874 83122\n45862 63031\n21383 55884\n22410 28066\n8476 10657\n55829 71481\n24805 91320\n75799 97782\n4169 24417\n44625 98363\n10448 93232\n27872 83125\n10064 20381\n35248 49055\n26743 68289\n13642 47475\n53820 85376\n24149 83790\n28197 78178\n9395 86976\n29079 92410\n30473 70091\n72720 95958\n16466 85080\n15656 44279\n55227 58172\n781 40566\n89690 94187\n60723 86125\n3447 48621\n48678 94632\n17557 99083\n58049 92969\n91844 95536\n5355 52644\n25947 39759\n55587 85688\n22544 35346\n26642 51163\n30967 88542\n25588 64278\n20982 44190\n8588 38122\n23897 92964\n28291 53614\n10270 49651\n37230 81511\n51150 85229\n23107 96269\n7641 94153\n7930 34957\n27703 52482\n40022 84558\n46807 84557\n73543 81931\n43676 76746\n71500 97919\n14282 49408\n34097 40391\n9572 59257\n13494 91465\n60302 79822\n59250 61733\n43164 75026\n45624 87222\n20898 34455\n22500 46972\n3598 40329\n5921 74681\n68284 77825\n37425 58668\n66178 70323\n33403 76315\n74 89084\n52593 93475\n4199 56239\n5841 22065\n10653 19365\n1204 69375\n33731 75836\n18033 68241\n38142 73783\n26067 35506\n13672 61503\n46536 48847\n50020 93767\n68831 85859\n6201 53006\n9364 72842\n7842 87440\n23711 68249\n77949 83097\n21576 37489\n11257 80255\n36007 64924\n22033 61993\n27479 48403\n5235 68994\n52153 73380\n19640 55239\n12015 64379\n73465 94809\n43979 51797\n73589 89276\n50388 96663\n89852 89875\n52104 60979\n38955 43394\n32179 75467\n7436 27336\n12820 18014\n37107 83753\n5210 83493\n1473 96402\n4953 70810\n73566 88652\n58166 82929\n44779 89562\n5902 43506\n27960 92018\n5628 44452\n62894 84092\n78844 95809\n46180 54013\n96275 97300\n64948 84675\n25502 55995\n21031 75028\n22579 36973\n3885 81795\n13793 21230\n18496 88388\n13165 69748\n48006 76624\n10919 64700\n37270 75054\n39871 57585\n48486 99384\n78833 98517\n16945 40237\n44393 58076\n46329 74769\n14919 94784\n36474 90623\n6306 65582\n23670 32635\n2371 15175\n10731 29164\n19388 48278\n8589 44602\n53778 60848\n5942 53117\n33764 96363\n9309 73152\n72590 83539\n34486 38467\n30591 60644\n22261 39088\n16584 93418\n1886 33097\n46693 52403\n17759 66621\n31215 70986\n37529 93286\n51668 85028\n11853 55456\n28809 87802\n60667 74806\n12923 49498\n7487 29547\n7137 61669\n70720 82125\n57986 86816\n10596 39905\n79989 85743\n73536 82704\n45966 67020\n77869 96699\n36525 89478\n22375 26772\n68953 74781\n79264 81197\n70891 77554\n11759 47503\n86212 90830\n68385 72946\n27583 42442\n66741 90102\n21549 59968\n35540 85342\n49146 56570\n579 48174\n55797 99727\n13973 50371\n61953 78932\n60214 79449\n19362 95212\n37019 55647\n30868 79650\n44561 79229\n61918 74746\n82352 87674\n24823 55872\n55773 94490\n60095 61083\n58700 66968\n30211 93695\n2912 57408\n17625 68090\n64318 83547\n30488 40075\n71593 92544\n59027 77213\n22135 97780\n26958 30642\n58047 91854\n47764 75158\n29669 39931\n17077 73247\n42841 86333\n12367 69697\n43677 69193\n20842 91723\n54986 90074\n27893 55207\n27578 54749\n31237 51718\n81827 86539\n11705 46090\n353 64763\n28033 43275\n23513 57394\n54987 64173\n42596 45050\n11844 43683\n47423 56773\n31774 52046\n13092 88171\n62777 85203\n47387 86160\n23564 71795\n1252 62941\n66832 99905\n18456 96916\n13750 29043\n36203 67493\n16482 33831\n81371 83366\n70810 73341\n37979 97348\n50032 74850\n10876 94322\n11582 61741\n32096 95204\n77855 80302\n3913 18612\n10149 68711\n42392 49230\n11806 80349\n76696 76753\n55684 76599\n2452 84938\n13671 38869\n64078 78917\n4150 40127\n21621 71346\n52375 78700\n37436 91404\n51782 59234\n10153 54588\n53083 56618\n52321 96745\n22400 32558\n28505 59632\n7355 52342\n24824 63632\n13100 93342\n19810 30637\n34190 53586\n58581 63987\n68635 83484\n20031 47370\n2231 15770\n68973 93949\n5918 71447\n7172 88035\n10095 29677\n10654 60481\n14306 63108\n33904 54301\n24461 47384\n662 57626\n46611 94964\n80747 84826\n63884 99339\n30404 79596\n14881 41768\n9109 47970\n15440 18024\n43519 61948\n17823 42269\n17146 88012\n65367 68678\n12145 95328\n25848 25980\n36517 71354\n29276 94659\n39833 72273\n61365 75045\n14761 17714\n75225 78239\n2378 43121\n21402 92696\n6388 24053\n49138 70890\n50186 57342\n18278 30592\n50181 98448\n2289 70235\n71277 74338\n6397 61869\n84486 98447\n4465 97991\n52508 96953\n37621 63260\n58533 62365\n15508 39848\n28909 29038\n9125 97500\n16536 82135\n72737 91131\n7580 82476\n23866 80291\n7838 68310\n84310 86507\n53839 55090\n88853 91917\n14499 55532\n54412 67586\n10175 12510\n39342 83828\n50202 97559\n26026 46667\n39878 97120\n5580 24771\n9554 81614\n66224 76835\n70911 85745\n25562 64271\n50727 88146\n76861 86613\n39937 89067\n1673 86452\n61071 70511\n17039 83665\n571 85111\n48966 87623\n63854 67372\n79848 79959\n35704 85754\n46128 74837\n37956 98345\n89304 95189\n73279 73880\n8576 43706\n24448 82891\n35808 81811\n78758 88504\n2436 83605\n23859 96074\n46852 96957\n36327 56355\n6724 87898\n25416 43628\n42068 44497\n56727 58034\n52490 96505\n16533 58665\n14380 31543\n62551 96893\n23146 87604\n27741 35758\n13243 17862\n52754 65428\n34334 71235\n55163 83408\n56711 76170\n59843 79008\n4734 43299\n98800 99620\n68699 95783\n29464 39284\n16949 23901\n40223 98484\n13364 43125\n31805 84784\n37232 68633\n88034 98997\n27603 28872\n27223 91753\n472 10025\n52592 83357\n42353 72008\n21120 82450\n72669 78487\n17904 50256\n17499 40639\n85008 92430\n32277 52289\n12723 50834\n34934 83890\n61953 72884\n70051 79002\n82724 93344\n74011 83382\n944 84575\n2550 29938\n28894 36003\n82485 83749\n58818 88560\n66314 92265\n35400 36302\n18598 87995\n15676 53841\n39434 42416\n47169 70114\n19091 58829\n4434 5454\n59609 77243\n15471 37658\n37517 99353\n6953 43794\n42914 67711\n22302 91445\n8166 85333\n827 10888\n55824 83797\n36184 60327\n19569 75514\n25001 64355\n87970 94214\n30593 59584\n21905 78222\n30980 49816\n4159 48267\n18373 63742\n17664 46987\n41872 61751\n22189 78154\n86872 95814\n12428 86564\n16910 97263\n40621 47166\n36527 83083\n68101 83277\n19176 28585\n53687 55768\n11948 85789\n31244 37147\n58551 87274\n41216 99938\n59623 71165\n11120 83547\n22232 76290\n11568 93104\n707 31594\n87875 98269\n58269 87037\n73141 88962\n3850 65213\n18478 48980\n29430 79875\n20183 68088\n9548 22983\n41839 47327\n12934 92385\n65967 67058\n13245 65803\n27154 93801\n55429 96520\n58879 73852\n17716 72392\n47811 60115\n87640 91795\n41027 54739\n46296 65505\n45140 51356\n19788 56927\n20856 96308\n37283 78071\n18036 55311\n97132 98135\n23871 42265\n41246 42447\n1707 48884\n1177 53765\n55359 85628\n11565 52770\n48166 48864\n8139 9707\n35161 68947\n13997 93423\n21679 49061\n23667 66920\n45079 81359\n62983 79086\n56934 57172\n78903 93159\n45601 46165\n62925 85986\n55774 82061\n29769 61516\n10449 60359\n57512 80736\n78235 95658\n6146 78486\n25647 68187\n4741 16372\n25391 92378\n38497 62187\n61545 77823\n26812 53737\n41847 75611\n29906 92470\n10141 72419\n41733 82380\n50999 90030\n5902 16676\n57308 70976\n2943 56037\n37565 63658\n36241 73001\n42063 82167\n3909 25274\n65559 93243\n37557 65054\n33636 65038\n33225 37620\n39299 72324\n45647 58851\n58085 95405\n79498 87904\n41501 90795\n53255 62449\n26937 89146\n6844 44906\n20186 59740\n15073 84307\n10626 70084\n55899 70598\n44693 70476\n4197 9151\n49879 77027\n3205 12184\n35076 64242\n10174 45358\n61996 75261\n27702 39464\n23735 81393\n56759 70722\n34171 47974\n40190 74462\n69308 95210\n12738 61652\n89448 91190\n21001 90767\n29240 50860\n46025 87854\n13723 35925\n68330 88798\n38612 91531\n47079 63233\n48374 94848\n7485 12412\n43061 89165\n49609 81989\n81551 90670\n4564 74647\n10636 38479\n18315 95115\n47827 53583\n12560 61476\n35729 76060\n33273 72674\n2363 67224\n48164 79279\n40369 44968\n30478 86602\n34745 43308\n66631 68428\n94158 98752\n23634 31277\n2589 47218\n9670 92178\n30544 54379\n60715 75206\n52099 88504\n7295 67145\n62557 83584\n8379 41521\n11396 17215\n32486 70511\n5443 60110\n34517 43412\n18743 53989\n7495 69109\n9166 53078\n7111 43797\n31186 48442\n17188 40731\n113 50798\n42335 67359\n15851 68014\n64312 85553\n14359 18394\n80386 84814\n61620 65219\n20751 40948\n52760 97854\n51103 92758\n41282 82369\n59541 61298\n82467 97848\n58500 98880\n6595 15903\n49280 65243\n50483 70380\n77843 92146\n12164 48786\n11590 91529\n4423 34574\n17397 28642\n7232 40721\n59113 97339\n50692 61101\n57634 76069\n23692 82212\n57206 59631\n43615 84323\n44089 99567\n73486 83389\n7542 36687\n51673 62235\n21789 57612\n2882 88762\n9507 92888\n4449 28703\n1217 48832\n70978 99574\n11113 22946\n47558 86221\n16558 37613\n5200 24495\n79344 94252\n7587 60429\n88073 96718\n21037 48289\n5850 44284\n35125 50132\n7514 86854\n95747 98192\n226 31364\n7796 53682\n56056 99055\n39454 57182\n20499 85736\n45341 87911\n17190 96249\n11477 17917\n84112 89096\n36133 95901\n17998 68743\n42258 84794\n287 42815\n36304 89107\n81317 82065\n4438 97278\n35815 79145\n52162 54362\n697 96467\n62592 64864\n33240 81545\n22610 79771\n6511 55669\n57997 70791\n56699 96940\n13726 92975\n18090 94516\n53082 57962\n85226 85613\n70352 78972\n13039 26009\n3381 77572\n62504 73907\n66353 90432\n6383 12308\n1179 13110\n3919 8863\n12601 24594\n58039 65705\n5722 67081\n51749 70666\n30255 53270\n7982 68752\n8626 86447\n23320 26926\n52631 74196\n57653 97275\n9570 38922\n18432 73210\n7068 23864\n70764 94288\n45096 60360\n10402 75589\n56254 75541\n2085 29904\n67396 80057\n2384 39793\n13147 78937\n26243 76186\n71213 85601\n16370 94186\n19698 32543\n11157 86022\n39072 73047\n45898 47163\n50383 94445\n18599 74420\n17771 90428\n43376 50168\n11815 30456\n16808 59922\n19831 83828\n98258 99997\n78004 85514\n23234 54811\n6492 64326\n58813 75529\n48961 58907\n70589 95786\n6458 16324\n54329 56123\n2986 55201\n69309 97391\n4127 40307\n58666 76430\n33403 93286\n82733 96507\n57687 78045\n72335 94558\n24596 49826\n39496 55889\n42974 74705\n30425 44287\n31912 55919\n34213 69521\n1485 38446\n12668 78913\n12138 95241\n86006 96998\n52140 65851\n49513 84739\n13124 65694\n49884 95864\n11253 22030\n6414 91777\n23023 91302\n25169 28367\n54432 74877\n63576 68581\n55020 75299\n64716 77544\n21998 68162\n18153 71114\n4878 74537\n36881 95480\n7667 18030\n34855 47658\n5598 24983\n3326 90828\n76823 87220\n10163 54234\n21321 67978\n21410 77065\n16253 19096\n6500 92170\n29895 75436\n50016 88102\n40842 93367\n67173 78760\n57384 86183\n37624 59814\n26866 34426\n63611 83753\n38876 42322\n45744 66915\n78265 83044\n11828 73722\n77124 98691\n5080 35516\n36154 66255\n3247 87903\n2083 23902\n49704 89286\n42918 52086\n66274 80305\n49932 71714\n25968 78932\n48861 62187\n41149 71016\n79553 98856\n27736 82626\n5626 6476\n623 45980\n45238 80783\n59686 73909\n8617 57573\n54552 77942\n89410 96778\n25116 34256\n33773 73262\n24832 46239\n16658 51438\n2222 36504\n49471 80351\n88687 93956\n41204 44290\n44123 91761\n68899 89628\n53510 77218\n36987 49532\n69001 84520\n23585 76854\n27073 61159\n7412 57545\n24090 56005\n3582 31426\n10705 37617\n10954 21189\n19907 65504\n22693 52259\n51102 87373\n444 21035\n38899 63077\n11756 28601\n62523 77477\n58794 88818\n40703 58606\n5826 87930\n79910 90011\n16665 43989\n29771 81242\n6959 91290\n36446 88353\n19441 67443\n17186 31483\n77668 88072\n51914 62668\n2137 28623\n47649 91975\n58637 72050\n29128 64357\n34722 66953\n61496 88580\n51962 90120\n34096 49939\n12939 86702\n27517 95918\n8425 44187\n61138 74309\n69273 96699\n16563 70315\n31327 49104\n19345 86269\n60850 62217\n8912 64878\n1893 57074\n9479 82872\n57473 97790\n10866 12456\n24121 52655\n76423 99806\n23958 71850\n4666 82344\n40311 59156\n18895 28614\n72011 74001\n87791 89319\n6348 26509\n48746 84570\n15490 81112\n50343 75812\n6550 14344\n13437 56670\n15108 88007\n25856 82358\n15533 93795\n46392 66828\n22419 81612\n4202 14718\n20313 92048\n15813 17542\n10272 81107\n53756 57059\n26504 95828\n25572 32048\n25812 35121\n48573 53421\n12048 97611\n28847 38801\n45571 82068\n39198 66983\n73035 98411\n38273 72897\n16506 20291\n60263 81896\n55626 96959\n5771 81382\n44246 45725\n73274 89277\n13666 47681\n2857 54406\n18891 76685\n37145 99599\n11380 40876\n40765 49489\n24370 61076\n33083 52401\n3969 95595\n25508 79492\n20649 55805\n68703 80530\n83498 93830\n10533 98128\n15986 77933\n83791 99697\n17088 42259\n85193 98363\n27214 68640\n66360 97886\n57459 71774\n9407 49820\n37734 45348\n37267 54007\n55527 71335\n54488 70055\n90203 99973\n82078 83436\n66037 97215\n47488 77732\n63112 82496\n41806 63925\n27451 62484\n40915 87169\n25664 84664\n32139 85324\n47807 89162\n20322 76445\n22632 74042\n43835 87696\n70144 78091\n24758 39973\n7762 47316\n7371 87794\n21085 44828\n33645 38982\n71909 72164\n18486 77660\n9656 36811\n161 94282\n42198 72607\n599 52922\n5431 20540\n55783 81062\n6762 69365\n62012 88742\n38276 39057\n38918 90104\n43790 84971\n626 3645\n34267 40390\n134 35032\n23424 34381\n2850 30665\n40808 55632\n21209 60302\n27051 85339\n46221 92624\n2147 67161\n9381 53838\n15510 22741\n33699 65063\n6705 89769\n2536 23488\n2471 91202\n10797 82079\n24491 37404\n51572 51923\n52471 97093\n11874 57834\n16484 94770\n11229 39525\n30000 98920\n48193 84432\n74350 94720\n30304 30635\n54299 80360\n55997 74520\n64364 66642\n32397 88424\n11592 60866\n36278 77844\n4251 26738\n45228 81211\n8557 33344\n15539 59747\n7427 25880\n73177 74030\n35763 54680\n21672 68069\n50676 53019\n7544 79695\n49400 92923\n41562 58290\n14791 56753\n49015 96045\n35578 94199\n14758 67482\n7389 63431\n51392 67710\n36449 44159\n61420 76441\n78422 81440\n29521 34023\n32420 68023\n10349 87360\n9475 98397\n73402 75007\n35679 79050\n29164 48031\n75675 94817\n41580 72799\n31297 58670\n788 59743\n6276 19306\n42509 92233\n36653 38577\n55128 64666\n25578 77849\n42034 87383\n43587 49664\n10589 35003\n8179 70220\n8439 32797\n22089 39310\n19008 85807\n74663 84895\n50346 58064\n43863 50327\n35272 64592\n18787 52173\n28090 29875\n55244 96853\n52177 63843\n41321 41594\n34295 72866\n7325 87457\n14555 93313\n55926 97957\n1871 83679\n28277 36696\n79383 85361\n49065 80279\n16946 83300\n70260 96783\n64439 73083\n11341 24360\n42895 81530\n3460 83127\n86281 99027\n23355 27880\n6404 85308\n53708 57062\n55831 98063\n27584 38516\n12883 68367\n38233 90454\n60543 63082\n70631 90542\n58440 85856\n51050 95550\n23814 46386\n11634 50742\n8379 69666\n26806 31874\n11034 64305\n74151 96146\n29397 33891\n37483 41507\n1211 51758\n2934 15144\n3466 96048\n16103 92178\n42216 57787\n64018 85696\n23949 44704\n1549 44285\n26982 30365\n10974 24848\n29309 42588\n13624 50754\n25034 37209\n29312 97891\n9379 23980\n28335 63984\n60558 72275\n47165 93782\n32327 90729\n26546 71100\n6244 55617\n65446 77892\n59405 67946\n3088 21694\n33114 40769\n13885 52684\n9318 26999\n5962 63469\n93069 94588\n77092 98081\n3709 10619\n594 42568\n17685 22733\n38677 45802\n17086 49302\n40268 73725\n26056 40285\n29303 82399\n24511 88290\n69766 82062\n92934 94931\n94793 97714\n8773 70819\n14502 54551\n37765 83990\n6188 24318\n68 79378\n2079 74458\n47943 89503\n9066 23723\n7839 87110\n58040 71966\n2255 72937\n15631 56120\n11615 45845\n45852 71243\n15967 84574\n23101 47689\n7177 42801\n17753 72229\n15559 38407\n14452 31321\n13815 29877\n60896 62029\n24845 85119\n55519 93852\n39666 46112\n30286 33329\n39337 86400\n23972 97350\n16218 77558\n7681 67585\n49699 97465\n8757 64743\n45145 76401\n20096 33450\n47453 71326\n59149 97930\n37678 83013\n62639 84291\n36102 47555\n27896 31805\n51150 91096\n29459 42506\n19418 23429\n81445 87207\n47776 59191\n36338 85693\n40645 75352\n8387 84780\n58515 97858\n6890 85519\n4204 95928\n11564 46127\n24559 41433\n14116 17429\n8834 71067\n56643 78032\n66403 80240\n59422 63707\n5335 86906\n55108 95793\n39194 63636\n10655 96039\n2387 20810\n22749 48157\n60744 87056\n26531 30851\n69174 88522\n64438 82029\n86735 88360\n47437 60308\n80266 92020\n39893 45343\n84971 99877\n35589 51671\n8657 92714\n58114 67833\n53822 54616\n25451 26659\n22142 83751\n59969 99314\n4968 79605\n40625 81824\n53285 70162\n59144 82471\n30932 35492\n35368 86977\n32195 62858\n19345 85156\n10983 64819\n66831 94411\n46169 69122\n17814 44248\n17074 95059\n42681 86706\n68067 76910\n54000 73551\n67342 67382\n2776 29713\n73667 98333\n37928 71219\n15827 23862\n12431 56621\n49623 69050\n50761 93775\n13997 26229\n638 14763\n7213 43504\n33193 35855\n59921 98297\n57529 76207\n37250 38616\n26847 91458\n58789 63111\n37310 69706\n37956 58206\n58351 84582\n40805 94409\n58732 90844\n9962 76095\n8698 39265\n4635 64833\n9939 31019\n64091 94628\n90623 98115\n32391 45327\n66652 73484\n16625 78631\n60800 78599\n25719 43610\n39360 84644\n58881 97470\n41021 56192\n18539 96074\n48657 85193\n69653 87558\n46025 66353\n70654 92570\n19305 69727\n31977 91463\n16846 31620\n40397 51638\n6934 95041\n23554 60682\n42789 58487\n46895 66880\n3160 50778\n60519 75747\n68256 76191\n17020 38165\n14468 81991\n76662 97190\n4854 35041\n22417 79588\n23021 92007\n74007 85709\n17556 77919\n71769 76317\n79436 80396\n15418 94464\n50169 97950\n4791 25662\n11970 42615\n59440 69143\n19191 83293\n70495 82151\n29037 66707\n4915 37056\n74784 79572\n54564 77777\n13891 16898\n75648 94872\n26681 48214\n57407 66978\n666 72214\n27401 95161\n69168 93146\n58984 68556\n50974 77200\n38055 52273\n27985 99923\n16187 20049\n27033 43472\n7132 40460\n45102 89807\n11170 15069\n25252 75658\n1624 54436\n35772 89903\n20883 73618\n28783 43766\n13100 68382\n42633 94140\n24041 45009\n12025 40853\n45189 53529\n66604 90074\n18961 42648\n44656 83180\n65852 82503\n76601 92480\n75376 92821\n5186 91263\n13421 65831\n22006 37569\n16779 61810\n56533 70443\n22921 84626\n27024 81136\n27485 59977\n3362 53867\n25745 54838\n74005 87760\n2060 93206\n21606 63556\n28014 78971\n71265 92635\n23120 28498\n55742 92055\n65983 94399\n45367 85611\n61337 68051\n15353 35832\n39081 41221\n69965 96073\n8777 74300\n26840 46540\n64731 72459\n41118 64558\n24362 94930\n11547 49141\n34333 49942\n37060 81657\n12990 57740\n49047 58416\n78519 97864\n24438 45944\n56888 58016\n46561 77860\n19594 62080\n2794 39038\n17326 71944\n36408 54818\n40755 51006\n10038 83250\n61189 69791\n74327 84461\n58785 98777\n48896 61669\n51029 82912\n58464 76446\n29125 92253\n60692 75521\n14739 68356\n6256 86337\n69791 96908\n5573 74618\n32067 86768\n31206 40370\n23362 91399\n6575 34970\n50998 94300\n44916 99889\n4294 84830\n10452 75148\n78297 82880\n18156 45932\n13992 58313\n35572 49802\n3968 63014\n16678 29140\n87558 90134\n53522 61047\n81220 99381\n1191 44527\n1201 62407\n34273 46281\n10047 23018\n9858 42407\n43204 48503\n29727 96009\n43 56231\n27655 54432\n137 58868\n1032 27327\n13822 62430\n18632 74313\n63660 89764\n89954 92034\n29107 76185\n718 36860\n1744 61702\n30543 38024\n57289 89824\n33295 35069\n27296 36797\n53828 96327\n87594 90735\n26948 53899\n25582 33849\n14439 96344\n60450 91555\n30014 86708\n11863 45969\n65743 77807\n3295 78191\n74634 86086\n4523 47949\n67288 78764\n31882 68043\n23594 68844\n19290 98383\n35543 83815\n27982 60589\n48883 66258\n1770 15039\n30386 79185\n52648 65364\n59162 82278\n77821 95492\n29458 97927\n24238 85997\n19913 96098\n21194 91415\n5156 87512\n5776 37198\n37849 80960\n15841 71481\n35565 71989\n55868 66881\n36851 44178\n10528 52893\n12650 88102\n19740 73899\n31168 89091\n3075 48287\n80360 93602\n8130 47459\n9290 31197\n16429 71727\n79651 88177\n31703 72745\n52119 53581\n42914 49856\n85241 86443\n57634 70487\n53757 80720\n15175 82636\n16826 48835\n10253 69554\n62485 77588\n34868 74975\n10457 50490\n4495 88717\n21517 51796\n25435 29758\n50783 60481\n43124 55131\n50917 91193\n4760 88576\n71648 81762\n34227 48728\n42413 86580\n19626 85832\n47376 63337\n45539 60747\n28509 89642\n58228 77088\n20280 25670\n45320 80764\n45793 54665\n39813 51150\n8815 90708\n38393 70767\n65755 90816\n33421 44383\n41002 85867\n19608 48573\n58078 63308\n10109 14658\n2322 60230\n43397 80005\n82883 89032\n56023 68068\n50753 66927\n23830 23890\n26462 95081\n29183 50007\n15995 73843\n18909 28400\n67792 74461\n17831 26158\n19373 46334\n28317 85607\n931 82936\n75737 95261\n16929 62997\n32804 78122\n34010 75347\n36174 83683\n43834 62276\n10802 31404\n43755 96266\n68564 82754\n7951 12307\n48331 68957\n23398 47173\n8142 59302\n20190 87438\n39910 99640\n54503 63650\n57482 67328\n10526 50930\n32562 41188\n23862 94220\n1421 50920\n34369 87242\n22341 36965\n99356 99987\n40100 46006\n89318 96077\n12411 47764\n27292 68379\n19550 94522\n10304 41882\n33804 53333\n3489 78294\n11206 28884\n4908 33299\n10436 27078\n34407 57631\n13530 29339\n90515 95236\n42409 62393\n50512 68836\n28157 77441\n37405 49621\n18339 71663\n72009 86039\n11543 79181\n28871 71653\n9414 73472\n24253 77237\n78464 91681\n80996 81282\n40564 56581\n26342 96143\n12265 86085\n51267 86995\n19631 95188\n46807 68504\n69371 72325\n94742 96236\n55556 94041\n15829 46062\n53945 83671\n2207 38346\n21869 95461\n1288 47468\n50876 93674\n76143 78475\n20020 42855\n41841 47876\n68917 77976\n31627 42196\n8010 81343\n18058 23342\n6847 49500\n9845 85903\n10694 81986\n36437 60855\n76792 79397\n13527 58593\n2504 42632\n8307 89512\n65343 95691\n16367 24028\n9837 58985\n53496 64462\n34030 97150\n31702 96701\n18722 56703\n1045 14035\n59663 81984\n13822 74790\n7586 11195\n86640 96260\n21601 66193\n12632 20520\n56913 69776\n14977 39199\n50318 51493\n4491 30988\n7802 13152\n49669 65880\n1776 55669\n10531 87402\n38494 56827\n5936 12948\n58790 94245\n52328 86320\n3426 80409\n42725 89291\n236 91583\n24705 77803\n1464 69689\n3614 91837\n14170 79893\n19506 69642\n11261 86752\n43077 57980\n82895 94280\n70529 87382\n24816 89120\n64328 77602\n17530 25437\n1662 57828\n10078 24532\n38922 39066\n72551 73841\n3506 69673\n52038 98544\n31947 78081\n35116 68708\n10216 45662\n21541 44563\n76560 87167\n15705 41841\n48625 70114\n33576 90328\n13563 76341\n10615 94699\n72857 94433\n669 46537\n2593 52948\n33503 69930\n25918 84095\n5011 94137\n60352 76299\n23108 46328\n11019 74625\n9561 71078\n46343 65708\n4429 4637\n14770 72631\n7948 17362\n54112 55369\n22089 29658\n44766 67378\n50244 88793\n76540 88033\n44177 95332\n12450 80319\n68035 74057\n61015 87607\n4615 11783\n6875 82372\n70744 78912\n49784 72213\n28750 39576\n63263 90683\n22303 68494\n58286 68595\n56547 86766\n61077 69683\n23487 35758\n34655 58344\n17162 79711\n52501 66442\n85572 96123\n54083 73947\n2467 38792\n38855 79790\n73391 85329\n55060 63541\n25246 77722\n71073 99004\n10273 57898\n9382 75526\n38388 84143\n69205 82611\n40134 92979\n36689 48377\n39357 53387\n36543 88817\n43943 51401\n19876 33979\n6216 29937\n15663 86434\n12506 89944\n12335 94221\n47718 95762\n43168 49199\n13597 65048\n21798 62904\n11985 95431\n35551 58883\n11484 65130\n37276 76611\n6979 11964\n31749 38726\n44944 58380\n61271 99358\n59144 98118\n70120 85097\n43140 98483\n2361 83080\n44047 61853\n7790 93266\n57119 75813\n16575 99860\n39460 41407\n45709 85743\n24376 63723\n31488 74444\n5119 56374\n56780 64231\n25377 31588\n10136 66090\n18406 20193\n20025 21115\n29978 32366\n46317 77561\n1261 52895\n25914 87695\n33899 38734\n4302 96949\n30332 61894\n45799 54706\n13042 23634\n19878 78674\n9095 97141\n27167 52388\n41062 47803\n18168 72574\n8411 72193\n68647 73972\n58238 86813\n48296 53825\n10753 41841\n17926 87437\n31617 48578\n11349 20258\n954 78817\n13314 82509\n26424 57073\n43758 56999\n17938 49943\n13284 37404\n75379 93414\n28980 30839\n89637 99132\n30424 39828\n31519 49985\n45485 60337\n56129 83063\n67601 81484\n36941 74460\n26489 31558\n73459 91272\n11441 89700\n34740 99772\n28401 83570\n6985 26692\n24407 97142\n46303 77636\n53544 58511\n35832 73096\n66723 95486\n48962 76264\n1751 43810\n27087 50569\n10616 63110\n69627 94456\n82257 82299\n60032 77256\n21147 85925\n81046 92885\n2769 24425\n35293 94700\n34591 87319\n66126 82426\n27926 68035\n18854 45724\n19347 76892\n35382 97219\n56590 61033\n41216 55531\n2619 58607\n53421 60583\n19113 73296\n38129 61008\n9258 92437\n65428 86794\n64183 87603\n1638 29672\n18936 31329\n2394 90532\n3894 85745\n21917 55036\n65553 91923\n6880 96482\n1767 90051\n19695 67317\n29575 30347\n28742 44527\n28141 73320\n5677 66269\n83788 88055\n40819 79646\n16300 28449\n33202 93196\n47190 90948\n64621 98480\n14073 20288\n6663 60051\n1351 51326\n23913 24694\n42700 63844\n28490 60353\n13727 22069\n38528 86234\n45029 87838\n18732 99684\n3861 28044\n8793 80648\n13036 85920\n23622 93078\n16867 77468\n32251 57496\n50809 58060\n67031 67435\n44950 63874\n7295 84862\n12844 71257\n4122 28614\n24999 44605\n53307 99785\n41187 93567\n35300 39711\n42894 96412\n1098 77672\n34123 64452\n20011 55863\n35451 58308\n8526 41455\n41422 80716\n41369 41657\n32115 68041\n16486 79521\n16990 79553\n4240 97355\n30763 56314\n6442 63433\n5644 97179\n81019 99468\n47973 95013\n84517 89063\n77945 91995\n90134 91176\n19863 38815\n13544 92052\n71013 91095\n14980 49943\n22387 45666\n27024 41061\n14830 27596\n31667 72354\n49708 97768\n1292 29403\n48761 71042\n19459 39897\n35511 37021\n49968 51850\n26691 36341\n15102 70772\n30664 62936\n24996 50158\n5896 18717\n13771 29811\n2755 69542\n5578 37222\n58328 83074\n1581 14865\n24654 87969\n63157 93082\n8999 85790\n89086 90839\n73448 86334\n8207 32895\n885 91772\n7644 18091\n35674 97727\n56404 95207\n23185 45675\n17560 55010\n18127 63720\n33624 84092\n46330 48415\n13898 30983\n23056 81599\n46100 68489\n15160 98276\n8245 62873\n55311 80706\n10766 79685\n16710 43010\n83032 96757\n53662 56674\n32339 48117\n63015 88330\n51393 84832\n52645 99282\n9008 83616\n54241 94263\n19725 39436\n69363 90057\n4133 10867\n9027 30503\n9720 64077\n18647 73852\n83740 94754\n38222 56582\n8228 71025\n28163 73642\n9619 88337\n23919 34542\n85512 86393\n60581 85150\n39511 79149\n83253 97284\n1549 95143\n11440 96800\n8674 98964\n2699 47308\n9638 71736\n44979 55475\n68283 85473\n4562 65929\n80942 94556\n40221 87895\n18886 56738\n88132 92436\n8641 42057\n6608 67474\n44281 77049\n10369 48201\n13769 36936\n93679 98383\n39235 90369\n1100 10234\n54470 99360\n58649 91597\n43117 83864\n41073 42613\n17248 92171\n6097 84547\n4817 15388\n8899 30655\n16384 85363\n8653 50947\n27932 40786\n61602 95505\n10876 34479\n16222 87351\n19094 98268\n17773 99079\n19374 33608\n23888 53413\n15983 51847\n23494 96298\n22239 74223\n54688 96881\n8146 84622\n47846 86346\n4989 35905\n6607 87277\n15481 57848\n20235 99836\n69391 71382\n58290 80951\n42436 76054\n438 60088\n45872 79290\n3481 66977\n16862 27122\n61449 76974\n19960 39837\n27099 80660\n44208 44546\n25449 89876\n42183 77193\n50099 90354\n60873 94210\n26405 90131\n26034 47685\n96110 99171\n14768 58822\n58752 78259\n61319 87312\n17075 21927\n15187 22003\n17312 66386\n24310 79463\n12886 99471\n63007 70876\n50121 56773\n4664 73969\n43710 52397\n49373 74286\n64630 97341\n21804 34356\n1216 1768\n3437 32590\n70356 83853\n18763 86688\n56009 82095\n64512 71072\n53577 95659\n25036 68587\n36448 83518\n35228 75577\n78331 88800\n5518 70017\n7231 48055\n4766 75349\n59398 82194\n10597 79577\n71997 79339\n41068 84240\n69534 75904\n48731 65976\n9744 28986\n41938 88786\n6707 45797\n41511 46508\n81317 93070\n10317 67124\n27619 68926\n41578 84747\n49924 71909\n10609 80726\n23627 78271\n59183 68507\n21697 29935\n86298 88951\n12169 60379\n64557 89143\n11619 21347\n59458 72919\n64523 97602\n38242 57598\n37547 78418\n45192 89963\n15569 43421\n78044 83741\n52164 95116\n4506 42054\n84994 94752\n70986 84327\n4539 94382\n31306 93084\n39973 76931\n43135 73945\n588 56004\n17417 70646\n14710 93105\n43643 86226\n16331 85698\n56537 90480\n1562 54891\n45340 49547\n11729 33476\n36414 95581\n47752 83053\n6059 38019\n45571 73423\n47615 63183\n271 66441\n19953 79136\n25586 41199\n14809 65607\n61877 75649\n5095 58090\n38197 72740\n11770 59315\n27611 58330\n33660 79618\n54347 80245\n26826 86721\n26027 44333\n81985 83223\n1675 32020\n63207 90957\n49336 58803\n72762 74394\n6772 55498\n13064 44424\n7945 96388\n5224 82633\n13497 46690\n33714 40500\n32631 82986\n69262 91869\n5997 30096\n40327 94040\n15663 24092\n26042 47494\n29310 46682\n54848 86596\n29644 37697\n10277 79718\n22715 67537\n1374 40577\n94632 97431\n29784 35061\n6747 97189\n68070 95045\n61922 90029\n1475 49863\n38969 95736\n13202 91474\n77060 96043\n52842 77695\n8668 34869\n16788 78750\n2637 68060\n17003 35048\n940 67825\n72082 80676\n36011 82336\n1367 80262\n48844 55780\n21401 46012\n9084 84360\n60388 82846\n25547 45718\n81402 88339\n11156 18011\n29132 58327\n29872 57549\n58871 70997\n63243 80795\n63175 79293\n49560 56006\n47326 93144\n81436 88571\n18977 84970\n8230 51108\n4230 82599\n31557 37116\n20787 76354\n17173 31744\n60107 97946\n55974 63355\n26165 73018\n68541 94359\n75950 97026\n45531 76286\n17333 91064\n31175 94101\n52614 63770\n27229 38172\n6190 69932\n46536 98246\n1297 81068\n45689 66016\n71597 76352\n21230 28008\n36137 49562\n532 82729\n8289 66317\n48881 95732\n64846 67719\n10760 20770\n17682 30922\n85039 91830\n66862 79778\n52978 60010\n27532 63114\n22642 67169\n24287 48661\n62497 67009\n48824 65395\n9927 16186\n13695 97867\n38740 94331\n12767 99324\n32072 43928\n64404 66629\n48729 62919\n23273 91661\n45094 87024\n34059 79019\n15847 39920\n977 67165\n30516 34705\n71148 91746\n41872 79138\n1284 87102\n2547 56869\n34785 81151\n43500 56399\n56810 93759\n29072 79887\n50123 85828\n32388 71239\n2746 41971\n16619 28368\n53979 64307\n8240 43017\n69735 75015\n61679 94892\n52034 79988\n10711 82918\n36776 82646\n34431 70340\n31588 89917\n84696 94864\n13622 32827\n4667 35116\n43132 66619\n48684 64896\n6635 29521\n30260 38098\n43305 75275\n36364 97539\n63065 97562\n63210 91016\n21119 83823\n46809 80531\n88014 91519\n47713 49307\n38436 45648\n40463 58478\n82794 83327\n3414 36610\n48918 73375\n57416 80480\n46313 51915\n8184 90184\n15574 78576\n50940 73781\n2462 90980\n19707 54536\n22043 98927\n14701 46594\n877 7427\n25367 77052\n22881 66358\n31144 71586\n19267 21376\n7936 41141\n35288 62678\n50719 57117\n21974 84242\n8755 68678\n48926 62896\n72847 91206\n51309 52667\n62104 64101\n50935 77021\n58480 72221\n17561 57256\n18458 39941\n60216 74622\n19554 75756\n25324 45768\n61 8372\n55353 55964\n30926 78064\n55356 58082\n86701 88711\n17383 40798\n6406 54438\n68082 91366\n22095 84335\n63499 83756\n14098 25536\n69266 76088\n58390 96211\n60565 62164\n31465 86483\n54313 80107\n36496 82506\n24509 68259\n17169 85473\n3106 92758\n39666 99087\n78204 91654\n81397 87297\n4394 70280\n8007 72826\n68439 70313\n49245 69765\n51209 79904\n9795 61381\n36761 92809\n59531 85416\n1040 68670\n87971 93947\n2140 38737\n18937 50088\n35682 40528\n35805 48845\n20173 31713\n24728 77060\n5191 23562\n25565 89714\n24892 61951\n29684 94714\n40861 96227\n42979 47107\n57482 93203\n14612 73183\n35023 90862\n11083 41826\n28853 58178\n26221 75552\n13857 46940\n47668 59746\n8346 22327\n21217 94800\n38836 70116\n37826 69549\n15278 76641\n54534 70239\n84512 95707\n15326 46201\n33209 41491\n58847 98058\n5470 39617\n71860 94820\n6547 25111\n5154 9360\n39885 92632\n38765 98446\n27436 85014\n85313 90174\n15300 42912\n35054 35378\n20372 20834\n11354 55329\n29858 98397\n97442 98886\n68405 69107\n83329 85818\n32827 65454\n25580 28350\n36721 98722\n50426 73371\n36180 85317\n1569 5434\n72965 79561\n49543 59248\n44779 69300\n22660 44078\n40193 59657\n51334 54990\n35239 36264\n59086 75913\n45222 68144\n26321 38490\n39889 55858\n69435 96178\n52703 68060\n78055 93623\n16069 42473\n17407 28111\n31269 83139\n17369 70287\n1954 79045\n18853 69593\n63986 90365\n26643 28990\n12025 33670\n52297 95695\n46603 69629\n31108 38592\n58201 95871\n17260 56342\n60836 88909\n2382 72844\n31082 33834\n50290 55314\n29830 76130\n78658 96213\n11367 67998\n38885 81757\n40813 68501\n60992 83568\n6284 81321\n18030 57308\n4380 48607\n83929 85763\n50995 58209\n38389 44997\n51481 58180\n19639 66041\n29258 58077\n10646 83933\n41099 53919\n7011 65470\n35344 93393\n10327 95146\n53558 96435\n37099 88722\n22130 87869\n25477 57898\n68644 70715\n8137 40930\n14938 68558\n29932 50399\n987 65732\n5149 21345\n12383 17641\n10448 56427\n5459 77920\n31550 74725\n38556 54361\n10585 19718\n11727 37654\n67147 98616\n14116 44551\n482 50954\n17297 40499\n13360 48847\n15923 17809\n6109 73016\n14666 30772\n19692 70556\n23309 96154\n70148 88343\n8939 70829\n9824 74607\n63618 75696\n5945 56041\n65941 74088\n13337 27923\n3723 77182\n15274 65974\n44940 63295\n10831 56290\n50791 56638\n47472 99858\n75915 97939\n35121 84890\n61287 99663\n6092 31973\n30079 40726\n24280 41694\n27433 62234\n646 32807\n57365 94365\n24105 48014\n37896 53566\n56394 85427\n34433 65661\n29437 34177\n4702 5365\n53885 63089\n20280 54043\n61809 73286\n16081 52495\n56252 82478\n3429 50311\n18957 24285\n89640 99347\n17149 77829\n87242 93453\n7662 44386\n51755 91937\n57531 92141\n37014 86504\n7468 16659\n3045 36319\n4611 78491\n12327 37503\n63002 66017\n5445 48164\n67923 75147\n32932 92719\n36135 83174\n48255 51107\n5398 45782\n6793 23732\n5599 19571\n10278 17604\n15831 92137\n10341 58966\n37532 52711\n18028 18608\n2980 82286\n2884 82627\n38893 55440\n34754 86477\n18938 50264\n53008 66123\n35354 84779\n47095 66890\n9510 55208\n92251 97508\n29543 90402\n13533 41512\n982 77459\n50247 93505\n11324 83256\n24098 48299\n9281 16221\n55329 83093\n39143 58015\n85747 93231\n35982 87383\n60295 73758\n30412 92446\n20922 44401\n30818 69801\n66096 97286\n48821 89661\n35179 58174\n21946 60714\n16905 55301\n25903 33154\n20491 71335\n51412 86925\n27057 70306\n8465 20646\n19361 30694\n3641 44706\n7641 45492\n36360 91963\n53666 68252\n11930 41206\n48946 85832\n1011 20969\n32626 61629\n5613 43157\n19202 25411\n27582 90835\n8875 21638\n27128 35111\n47796 63538\n23653 96330\n67605 73788\n38604 59812\n37100 90353\n62636 62789\n41800 73560\n25102 82855\n24831 35135\n82958 94348\n26778 35416\n553 91207\n56710 93874\n74178 89687\n6686 21373\n76342 84827\n1451 38201\n33536 57294\n27879 94812\n27122 47007\n41171 54330\n59614 97212\n15661 28299\n24605 91675\n26476 55687\n31718 57063\n76175 77724\n4667 86707\n66669 72589\n28188 47262\n51466 67814\n35933 69225\n64923 84005\n14395 16359\n9582 18619\n4760 67543\n43719 73522\n41066 97123\n30307 47409\n38068 57286\n69149 71556\n14717 51280\n34833 50697\n8583 29990\n20748 25906\n48308 50171\n10635 24893\n65849 86818\n78833 83807\n40710 75885\n7944 10512\n2107 11053\n82011 85790\n23235 88961\n47208 99706\n10076 97680\n48565 94653\n24571 27116\n56710 65622\n13042 36464\n4475 90842\n72928 82405\n13255 20834\n3114 24083\n34615 71225\n45125 61746\n2618 76580\n35520 46656\n16675 58353\n24668 35568\n11817 36384\n57426 85308\n53409 88675\n47005 70344\n54959 82297\n8097 62144\n64164 74339\n5921 91384\n18420 69979\n52947 78464\n57612 83335\n8316 61258\n3411 28170\n7720 46241\n26075 75494\n43658 85359\n47377 72270\n18815 62185\n47932 97471\n35806 70748\n48786 84487\n23540 44835\n26699 71059\n51127 84480\n14914 94544\n6296 83224\n57889 95084\n28977 41990\n22957 30228\n30028 62057\n57979 93484\n19897 94934\n19055 21216\n70511 90465\n13624 58624\n21945 68959\n3079 26873\n11538 67977\n42232 75691\n56618 90066\n67399 83744\n44133 65272\n22151 32100\n14267 76312\n10816 48457\n52233 95260\n88097 99697\n41940 96258\n7147 9577\n42359 99765\n49571 88224\n47089 67283\n19119 44724\n48963 90110\n2751 96773\n1946 9091\n867 9629\n10761 56810\n5628 64878\n11267 48308\n4227 27070\n5105 82940\n17941 23599\n67571 99279\n46644 56726\n51999 62579\n32466 34706\n92519 98072\n53960 60447\n29047 31491\n90496 93609\n53725 99248\n68571 94622\n3173 31744\n62771 72291\n1834 98969\n67102 67523\n73927 87692\n47311 57273\n66393 73871\n24358 63130\n65428 72322\n36346 87419\n17266 66115\n35428 55239\n46104 96859\n7965 46472\n26358 62782\n27799 47858\n57295 66241\n34147 99598\n59595 71987\n12133 29989\n8856 76851\n38821 42152\n726 26427\n33846 44808\n51526 53039\n3235 12208\n35330 66497\n27629 41387\n82765 96164\n21967 56031\n71024 85624\n9571 23506\n23476 46651\n63952 91344\n9963 69943\n40456 75256\n44496 64135\n27056 97580\n75591 87891\n60249 65321\n1236 32267\n60976 75022\n17749 42685\n12862 14277\n15672 75385\n20987 86429\n18769 73219\n42347 95258\n18896 43382\n27002 36027\n51897 53970\n19964 82365\n30848 74393\n31185 48768\n54330 95003\n66652 90307\n33587 72129\n56015 81447\n88602 90335\n32857 64609\n18444 79900\n20120 53945\n15963 29429\n23660 86897\n30757 39571\n52590 67058\n12462 78679\n53296 78122\n81573 99034\n8495 17849\n31689 98586\n1101 66510\n84861 92554\n8518 95665\n4012 72341\n21316 79887\n52447 71221\n68222 77490\n37233 46942\n73224 95204\n5041 53243\n65062 69823\n48264 62406\n81364 96090\n3999 27259\n27476 37540\n41987 98887\n1236 48388\n17636 89268\n1491 43230\n84144 92076\n14285 21230\n80857 82761\n14957 19652\n65876 98187\n52343 70270\n59681 88902\n3786 62622\n45407 54790\n17829 93754\n34363 79206\n22283 35283\n11999 84404\n7199 66980\n27934 30990\n1188 23173\n58565 87084\n40473 66664\n3405 89419\n40602 87817\n57314 66180\n14603 82051\n20390 22390\n1010 58391\n22737 46060\n36721 60317\n15600 87293\n82912 94164\n68666 88329\n39539 52864\n23728 40911\n48776 68965\n32784 92121\n44942 52699\n13915 73222\n45044 95582\n54454 88687\n10905 91462\n42960 43839\n15279 87003\n45310 63983\n27572 41571\n59188 72328\n31680 48351\n63805 85084\n4411 50455\n13254 83002\n28575 96844\n16117 58621\n37746 43715\n55397 78596\n42680 85433\n60305 74780\n28615 77750\n9858 91500\n28673 66714\n16903 59576\n16173 67699\n6563 21683\n53522 63537\n7828 59733\n66423 68297\n37045 76372\n24370 93546\n10797 50115\n8789 32843\n36818 46000\n8380 44984\n29759 47255\n23953 80712\n24822 99559\n7727 55193\n984 19906\n71146 78223\n60786 86530\n45061 69694\n5309 83141\n59075 81741\n64060 93121\n78821 84530\n15869 97834\n16427 94317\n4681 64247\n92217 93689\n23355 30141\n64033 66502\n72024 75869\n12416 21005\n21059 35002\n13566 33984\n11585 46833\n57553 93414\n2436 86669\n14141 92568\n49785 68477\n4694 56926\n4885 63756\n6821 70215\n60562 65230\n67158 89746\n82206 87649\n27164 41263\n44639 80029\n24805 38763\n9514 51467\n11465 99195\n27117 28759\n37565 57121\n5041 27952\n97407 99902\n73832 91295\n78625 91393\n26330 54248\n59976 62818\n63806 75717\n7060 96680\n21453 32614\n35232 83039\n14995 28986\n59557 92372\n16992 54668\n10972 75743\n57454 60459\n53148 89538\n37696 62073\n49296 80242\n33627 40145\n1032 55804\n41693 74264\n8918 62219\n46397 63129\n41911 73028\n15844 51207\n62082 82225\n4997 30216\n36675 69926\n6304 63250\n9813 74182\n7175 54307\n963 76771\n25190 84197\n22880 83828\n11174 54133\n74099 86082\n24174 40126\n22915 63807\n921 97229\n2261 21419\n61196 92832\n30404 85472\n55891 58034\n27370 70761\n18282 82146\n54303 68399\n14059 48271\n60820 80512\n13106 79347\n55163 69108\n74662 93100\n30224 32140\n79032 80359\n8397 88188\n2963 91882\n70976 77125\n37285 80296\n43620 64370\n19985 40447\n52356 97646\n5545 68577\n22946 89510\n33638 35491\n2583 62147\n63656 68988\n64615 86250\n32073 42925\n19139 92415\n88410 91915\n58783 97795\n47378 63321\n38597 93171\n30327 62391\n17640 54165\n29414 32506\n494 95261\n1539 21075\n4288 69202\n21082 28881\n8109 17494\n5764 93127\n37633 37956\n53278 97321\n81016 96154\n21329 75485\n24157 36115\n63044 75915\n61686 95466\n46620 82210\n1843 42337\n859 13142\n52752 86121\n20719 69268\n12246 67399\n25740 49856\n24028 82774\n33879 85568\n9744 26940\n11097 27261\n51759 60512\n53295 96620\n16737 64746\n21100 98646\n39355 92791\n57694 77809\n31274 79722\n4583 8973\n37426 62938\n14835 67847\n12879 87700\n66660 95635\n33539 68111\n63387 97454\n60233 84992\n19245 36374\n14364 34628\n55155 94454\n66739 71463\n25343 66733\n65011 84116\n49518 56158\n2180 68586\n28 31212\n15751 64834\n2182 81131\n26828 48776\n16577 28383\n32348 84402\n80398 94651\n19438 85401\n6794 56818\n12094 30968\n12764 40133\n61261 63213\n81191 87827\n63015 87231\n25998 27950\n54966 61986\n48331 86970\n3518 12235\n44126 61649\n3075 16293\n5779 59522\n20872 80615\n38284 89807\n40708 72594\n19366 80049\n75652 99408\n26040 29373\n22054 36349\n23391 36564\n58715 64431\n49950 88933\n33385 60569\n18068 64883\n19652 50997\n33400 86258\n35452 95022\n8143 69359\n50834 75668\n4740 66824\n46144 64510\n17760 90982\n3515 29044\n18193 60116\n70066 99036\n18560 44777\n41746 95830\n38647 57646\n54879 67850\n35438 90960\n6801 97071\n17635 19095\n9646 15599\n18219 19026\n38160 51038\n12530 44253\n57830 93553\n25271 27513\n4546 69644\n27742 68334\n46597 67293\n6965 50218\n266 59607\n3661 62201\n49474 51467\n85016 91870\n17701 21551\n7450 37533\n17059 78573\n6955 20170\n63208 87452\n4448 39646\n46134 96954\n22118 77993\n44252 92314\n32527 97095\n9748 15211\n30757 52823\n9856 88289\n50959 96619\n22624 77196\n74841 87565\n22615 85746\n7789 86305\n30272 65046\n15355 66301\n29150 30515\n16127 29485\n35918 76431\n28825 74648\n19678 75075\n24968 26009\n1874 44763\n214 45903\n52421 93119\n6017 45049\n7606 71200\n48297 51395\n20532 37198\n36095 85480\n512 36344\n56348 88082\n37556 77444\n47021 85197\n1888 33585\n27714 41712\n71562 98543\n10463 68200\n20258 85089\n42125 67579\n64107 84462\n70346 98675\n26418 36766\n60945 69457\n48581 99273\n13814 52210\n52391 87527\n36894 63969\n57344 72554\n61393 87258\n72281 91457\n14335 89817\n11912 99941\n9109 66498\n11041 70580\n14112 34922\n298 69182\n31582 95502\n45049 59824\n93226 93921\n36817 86191\n13502 92925\n72720 86153\n48461 81825\n4491 73061\n24881 67494\n19923 78626\n27118 43479\n35839 72089\n37225 66784\n6003 86893\n47336 88981\n71547 99906\n13802 20480\n808 82086\n5467 18495\n26324 90500\n19727 64557\n492 31806\n10930 62736\n33045 78909\n55975 70322\n45764 83954\n22581 77995\n978 24001\n49614 64709\n30251 41655\n27813 74121\n36374 83107\n23450 51169\n39868 44539\n86654 90904\n50301 50323\n82409 86003\n44938 80107\n35128 52587\n8800 25586\n63677 69961\n5497 54411\n38044 98614\n4142 80446\n86382 99517\n10489 98082\n11167 75060\n75521 84511\n14465 87128\n14300 72450\n67334 89080\n71855 87339\n2590 63054\n56525 63487\n18594 22571\n15990 69363\n23541 80311\n8788 18970\n54197 92763\n3651 7517\n42298 87213\n14145 94616\n13251 13649\n35376 84016\n22644 27575\n50283 76639\n6973 38625\n90000 92333\n86187 97842\n11500 30110\n27974 78186\n1768 13169\n2372 93417\n48420 78271\n24455 86623\n25304 61105\n70876 97690\n61198 92001\n2088 75844\n40083 64333\n25654 77863\n50339 72200\n7667 53313\n24786 28059\n14567 21566\n15873 30056\n13288 66505\n48156 86182\n54843 90273\n79079 83959\n35165 65752\n11730 51424\n16061 22618\n16145 37624\n15389 28313\n83105 85211\n21666 36409\n37805 61742\n31672 86248\n15595 44578\n39122 87780\n21794 25002\n3983 7905\n11733 19099\n72448 82174\n29293 66353\n44911 98730\n1498 37003\n73360 73737\n9862 16796\n36611 94052\n47481 56084\n14246 48342\n63675 95979\n17759 76367\n44844 71234\n40541 56722\n2885 98847\n53525 77917\n10421 30275\n56804 98953\n68404 91003\n45657 60962\n2107 72196\n34990 95071\n16940 54472\n35358 49614\n28760 41123\n4829 46695\n75350 86710\n42038 97631\n73838 91425\n581 25690\n2418 92915\n33385 88793\n6397 78254\n16546 68345\n5134 86127\n72235 99480\n48874 87458\n10947 67661\n7001 9844\n13039 54348\n20674 78241\n69273 74915\n93501 96394\n10087 19923\n41641 80076\n34408 51790\n44721 57853\n74719 93295\n25580 55247\n13674 36903\n61089 63743\n47995 50169\n27380 42797\n50661 71418\n30654 30817\n30427 86682\n1377 80362\n65684 68602\n5508 79239\n34663 62375\n15976 32804\n44323 90322\n75527 83091\n4021 49213\n26818 39987\n68933 97625\n11848 30276\n61154 85329\n68440 91269\n31182 68517\n42908 88906\n33669 34935\n4979 93318\n82040 97540\n20121 90638\n21797 90593\n33067 40375\n7336 96767\n28526 96159\n15237 84761\n48357 95055\n48453 75820\n94134 94866\n52701 99826\n27400 88895\n44982 79781\n72532 94729\n88117 99675\n6709 55740\n4220 88303\n7936 43650\n8679 8706\n46215 58139\n5059 40943\n61677 80947\n41974 50352\n65203 93018\n29822 44236\n12179 22842\n5987 58801\n15015 31303\n17373 44764\n48857 57197\n59449 75181\n31574 58580\n62406 90261\n84695 86101\n40107 84522\n24734 80183\n19468 67966\n2651 29076\n22012 69051\n13697 77820\n24384 98680\n3096 28653\n7050 9100\n23306 51892\n27986 99244\n11190 81034\n89127 89411\n18108 31455\n28499 92868\n55616 87767\n33826 76812\n2421 95670\n21726 61002\n39798 78228\n12203 24763\n12012 14965\n43001 60487\n63895 92161\n42727 67394\n4180 50519\n70876 74821\n15625 51900\n54817 80072\n8544 15007\n67734 95163\n5855 52569\n7946 21194\n70078 87633\n22962 34439\n18319 71208\n89102 93344\n43379 51126\n2735 45546\n11990 86760\n17465 98408\n23548 66171\n28664 45039\n38239 90878\n4987 13661\n12910 17180\n23009 84467\n13381 97425\n54615 97891\n14695 28821\n26881 36080\n26141 56993\n23340 83638\n49239 96498\n33432 71603\n83983 93088\n18039 46868\n53660 65228\n54365 92290\n3339 48806\n26312 26479\n31716 52074\n48384 53591\n46779 97821\n48759 66812\n53435 67278\n67207 90407\n41348 72759\n17482 42879\n3894 78302\n33612 51653\n59936 72356\n38846 46229\n24643 92491\n68319 83894\n5759 76092\n76260 99782\n59842 80879\n58206 68584\n17983 40219\n8737 71157\n17275 18361\n47779 56441\n41692 96059\n57809 58106\n22475 46070\n36794 55979\n12630 96846\n72942 78970\n53832 86462\n41511 86542\n1656 92834\n28620 79411\n8582 50287\n2437 43491\n319 8566\n19475 91622\n91782 92053\n42127 81328\n72590 73417\n20523 37918\n8377 57920\n3132 69851\n59896 80962\n24506 27540\n16084 31312\n3416 64323\n22734 69120\n198 75775\n15311 76038\n21928 69610\n18384 36547\n49956 68163\n15104 74672\n3764 89026\n67057 96779\n19302 21535\n26617 74096\n46481 78374\n10146 75670\n57484 78285\n17397 89132\n8134 82266\n47110 80052\n26796 61551\n3192 50441\n31139 32217\n22263 81403\n9806 52081\n864 75810\n29769 53418\n10877 90946\n67901 88183\n33137 57848\n34066 89926\n49670 60822\n62502 63903\n45729 63416\n28498 65035\n23849 44575\n4546 20411\n17519 80129\n57268 63205\n11261 29315\n9646 53764\n19788 49880\n19684 54520\n27176 27309\n79173 92829\n30770 48384\n86637 87606\n38252 74124\n63500 90233\n7219 98856\n40346 90249\n15933 55943\n46357 58392\n3601 31614\n8134 16189\n38011 51941\n3428 26400\n11373 50386\n13603 36536\n43547 44066\n45121 78805\n42698 61445\n23881 30002\n16870 48915\n28987 77330\n53253 90059\n76577 96102\n21037 87030\n51768 82027\n34712 45077\n10818 62307\n9394 47824\n60708 87799\n33507 75153\n40245 43073\n15599 62291\n49468 74611\n6593 54909\n59072 68558\n6579 80438\n40516 59948\n42586 99906\n12889 78644\n43080 43764\n32659 61012\n24973 29636\n21681 57584\n3469 49930\n5460 21964\n4547 52248\n28879 43105\n11864 86135\n20377 51442\n40724 86734\n1389 37975\n38754 67411\n52861 63958\n57098 64964\n28167 48685\n58360 70413\n49816 80884\n2393 19824\n4163 30656\n8194 28328\n61909 66840\n72955 90649\n34142 59308\n8786 84597\n4642 65421\n18997 35768\n68344 70695\n1006 51246\n32861 43037\n6441 78780\n49557 50851\n48540 50141\n34839 39161\n44922 75031\n73538 90712\n81013 83495\n94134 94358\n7842 15130\n87963 97259\n53634 64664\n37074 53059\n8818 94916\n20753 52501\n28123 70126\n44621 66988\n26526 38388\n15310 58118\n19322 88478\n33947 51800\n20642 65265\n71492 84320\n74795 82318\n14687 83031\n6510 18834\n73280 73405\n17303 73643\n17140 44326\n20832 56052\n60721 77968\n58270 75158\n5136 45495\n39667 47410\n48484 91832\n11030 11764\n10168 89677\n38322 81895\n69127 78785\n9633 52612\n24035 29782\n3987 26046\n4189 35900\n30514 73093\n59569 68333\n63908 73084\n42961 64266\n4747 45336\n72492 99564\n29251 41738\n4444 87715\n24517 82686\n77302 98318\n50008 73502\n17216 47528\n32675 76230\n32402 94092\n41562 60914\n30984 34900\n27296 85959\n25107 41922\n13682 88361\n17784 61477\n68136 78860\n8206 91966\n10036 26325\n3683 48818\n53818 63770\n29732 30974\n8437 90035\n9308 22532\n51295 90632\n12216 95881\n8035 91244\n16838 38338\n32147 53819\n69627 92269\n21077 65776\n8845 56034\n5264 90694\n18708 64538\n19563 74719\n19027 26399\n24907 61343\n37577 37930\n27006 63970\n66471 72169\n11256 90579\n53824 68599\n43216 95463\n51244 67781\n14956 51040\n59045 60477\n40835 65124\n50267 91365\n3242 17398\n2092 21248\n14527 86038\n74925 99165\n58865 62051\n62322 66923\n50532 85126\n81088 96093\n28473 98956\n69238 75882\n14382 55659\n10661 27231\n6731 98865\n22754 92962\n81785 82549\n28615 29191\n45803 48197\n4177 77339\n85841 89538\n46705 99158\n53632 67597\n1452 31893\n8138 84731\n46628 97207\n39265 79729\n1410 78572\n14126 88054\n57559 65238\n30743 63259\n9527 91373\n28500 98498\n53343 88017\n33808 78387\n3354 29970\n26054 30440\n34367 70435\n381 3888\n15036 34993\n8366 44294\n2986 48986\n21258 92451\n25254 90625\n69262 74398\n52466 77944\n50672 91305\n6209 94440\n6404 93952\n228 34013\n5899 46736\n9496 22765\n1297 84787\n93102 96950\n44938 51967\n49861 56257\n55140 80140\n83996 93253\n32007 41950\n8387 63599\n7567 22562\n33064 49533\n56098 59010\n41784 77381\n61214 67202\n66838 71927\n43876 45537\n52856 70348\n3254 33823\n12284 25286\n39610 68589\n25221 67032\n49458 52028\n10850 52994\n4475 16697\n65686 82150\n16025 71516\n68493 81632\n9458 80212\n52041 92680\n29758 46608\n33345 70293\n12944 92650\n4832 42664\n38621 40260\n52682 92988\n47955 88341\n42046 54878\n75021 83575\n27431 85999\n1227 53551\n14180 38062\n24458 74307\n62872 81018\n35865 60715\n62896 77749\n26341 93082\n52990 69245\n57276 72055\n15804 51600\n11877 20875\n12460 88553\n5443 46579\n50865 53372\n26022 83164\n28715 56946\n62632 96017\n59398 69023\n39278 54932\n17150 41122\n58133 58162\n38896 50687\n10399 52202\n42472 78297\n17894 72055\n18949 88931\n1132 90990\n38528 68151\n29909 60251\n57348 89599\n20731 33234\n22732 95397\n63136 72265\n18365 76704\n3186 45461\n43995 72085\n18365 73447\n22375 33454\n82030 86875\n42303 52492\n47055 84816\n2469 51760\n29888 86934\n26928 27076\n21090 70625\n33896 72112\n30782 57974\n23632 81513\n81451 92881\n23292 76815\n29276 85916\n3541 56248\n42671 87881\n89318 89647\n11145 55943\n25374 89882\n55024 59566\n24897 77396\n9349 20216\n1774 83174\n19331 58257\n38982 80971\n21048 26850\n50648 86592\n8050 40017\n18051 56555\n29300 90718\n56548 66456\n238 17798\n81184 96452\n31907 74598\n46684 70160\n49901 82477\n6802 45092\n19526 61648\n15110 92306\n14545 62274\n23640 24663\n24279 24453\n60387 97649\n1606 11137\n14514 99353\n33690 96987\n46060 87375\n15079 38844\n48511 80138\n31901 33249\n43340 52534\n51569 87539\n41509 44377\n54164 95294\n30332 82115\n45489 69869\n55580 59156\n73488 83082\n11989 37105\n4703 69831\n8372 78519\n28415 34928\n90636 97055\n24096 62675\n17782 36268\n42646 47957\n8053 18066\n20922 56701\n27872 60519\n45274 83686\n28158 59355\n17022 29747\n21749 48552\n16010 83535\n9740 69612\n42492 63845\n43262 62896\n3849 27320\n22184 46700\n19500 86026\n30736 72650\n6135 24731\n7827 15681\n43163 75561\n18392 85636\n10612 75493\n47615 83029\n32839 83360\n21857 43005\n34793 72280\n7063 52931\n3920 24081\n26518 69729\n22156 75096\n36018 61010\n80294 86553\n16582 72948\n10048 97314\n19580 31885\n43724 99637\n85834 99408\n23713 70396\n27699 77681\n43055 78570\n43882 46030\n39366 40057\n8451 89629\n10880 70156\n78524 81796\n31643 57422\n64202 65754\n37123 42227\n53596 85794\n2771 84557\n46907 84257\n47122 61701\n13741 43260\n39646 70068\n2622 77742\n34281 97163\n55394 83204\n10610 81249\n26679 46499\n8799 30059\n79707 90138\n40128 46822\n30600 99073\n50696 56823\n69604 96865\n75205 95057\n17951 51796\n19422 35190\n33193 59753\n1087 17949\n7285 85676\n61388 77140\n35722 57687\n22319 97935\n75993 99330\n2466 46490\n2717 99872\n35262 89590\n63126 79818\n13877 85051\n88402 94497\n35576 88962\n79327 94150\n88005 98228\n28634 64075\n24711 47123\n4093 5851\n7625 56624\n56986 99624\n308 85094\n40464 90229\n14759 35669\n62238 92897\n33084 54160\n12076 87234\n10028 36682\n34123 46683\n84392 96927\n48495 50929\n67595 85567\n32767 89771\n24531 91316\n18777 62748\n45443 62808\n29241 88287\n19645 41562\n29606 77227\n52172 86748\n1528 80760\n26750 96459\n9771 71337\n11814 61879\n48538 60613\n10803 22158\n75593 91464\n71446 99935\n1556 88966\n43355 77321\n72962 73015\n23643 96770\n38284 62401\n44848 88648\n25062 92490\n18934 80887\n68887 99629\n15315 96560\n63307 65000\n9241 28275\n31020 51835\n60828 78443\n954 89388\n30209 93251\n64176 85534\n39210 65168\n28944 55302\n1692 69190\n69170 70605\n34137 88550\n83041 85107\n30930 44943\n9175 33294\n60170 94041\n28900 67270\n7614 8504\n92628 94117\n1632 84512\n33733 82381\n54900 86473\n18420 35560\n19092 57409\n20291 46405\n9585 42438\n26200 40297\n66233 74032\n45125 62502\n59286 84347\n18288 99172\n30641 48026\n10250 18697\n24375 36362\n33975 44685\n44190 92189\n10362 42171\n2513 46501\n21340 64558\n9716 33163\n47461 49093\n22852 30871\n40108 97614\n55927 70512\n48374 73766\n2336 58578\n72562 88883\n1050 62746\n37975 63654\n87806 96865\n60958 75253\n71081 76483\n37696 49013\n28630 45347\n92734 93117\n39978 49324\n57582 60276\n12354 72429\n19066 39021\n27504 40716\n2201 79637\n26868 40582\n16807 69073\n9721 18454\n14472 29076\n17319 74633\n7924 72421\n7509 89840\n56892 83224\n32372 48580\n1990 58021\n10161 88919\n77111 81706\n51215 76713\n55913 69871\n89399 92143\n27503 51661\n12966 91022\n9214 26794\n3266 22822\n79527 89476\n72352 79119\n7053 66525\n14715 45850\n54262 91353\n34516 89777\n11413 15013\n30292 47199\n8667 42736\n133 15235\n24933 58768\n13949 35745\n68265 81130\n4385 59260\n3848 65776\n11570 62191\n21086 52943\n93859 98742\n36566 56998\n29352 43776\n55916 61120\n48455 93652\n41177 54991\n25980 33043\n32434 76203\n13118 16410\n4666 70994\n19211 60373\n21504 34541\n26525 61148\n22903 93433\n31649 84952\n85868 87199\n19869 59837\n4204 77115\n2280 17092\n19599 57556\n39992 82054\n32617 92080\n2370 88868\n29928 46408\n79508 94497\n51329 91844\n65650 86238\n5082 57471\n1039 2530\n26476 44045\n36497 82615\n18425 82070\n68231 74463\n10337 83519\n36656 79642\n72309 78636\n24322 56128\n43336 52174\n21980 57085\n35707 60253\n74876 87625\n26471 58010\n23195 45884\n5169 64709\n57187 85323\n6437 40110\n20526 79388\n7062 26714\n6371 53244\n49039 91635\n33753 48276\n5785 47137\n4040 57985\n6141 11195\n10920 54515\n15320 29147\n7467 23010\n24465 87022\n16440 34281\n76263 76880\n66706 79725\n46128 96618\n47155 50175\n30431 99194\n3632 18200\n53291 96705\n936 7770\n31682 92004\n9106 75275\n8226 52829\n47018 72965\n49805 85160\n23739 50823\n23416 23981\n45941 77499\n36497 88316\n32411 59752\n69231 79992\n20147 66498\n56062 69487\n34226 85307\n67049 99886\n18764 22215\n71655 77395\n40253 68540\n6199 24195\n30531 34469\n27812 82825\n45394 76454\n23657 44892\n52564 81611\n3356 46923\n927 1835\n67919 69266\n2352 83386\n20086 72036\n52903 57977\n22746 68168\n26607 93220\n11250 70847\n81867 83241\n22672 52906\n6314 88561\n95611 99728\n79394 99606\n18875 89981\n4202 68330\n37773 59645\n52852 87970\n49618 62134\n31676 82723\n66431 73267\n38879 90059\n81462 90596\n42785 64778\n6049 60177\n35503 82612\n33527 34353\n30840 66876\n69675 86473\n77106 97123\n27146 31688\n43658 45088\n56842 92170\n3592 70252\n54247 89333\n66668 81855\n4322 5805\n19907 87900\n62795 85562\n73585 77665\n70037 72107\n64189 69442\n39925 64895\n63425 76447\n27134 60226\n43975 53274\n67242 85956\n26355 75455\n78303 91238\n3376 85131\n17649 86791\n62628 77862\n20816 28778\n67611 83165\n58294 75320\n33849 69254\n51856 74819\n16663 54465\n50013 65905\n31548 70677\n60432 98765\n15383 80200\n65135 86255\n42362 59419\n16162 53764\n10952 83271\n37450 73476\n39754 90363\n39150 82292\n52925 62134\n21001 37503\n82361 84998\n8221 63672\n1776 91598\n30328 64265\n7111 12876\n49555 81100\n61325 96701\n18561 69539\n60288 79318\n55901 87833\n48470 50941\n45744 85606\n64032 69032\n47325 59400\n50609 52693\n6760 58697\n4171 29811\n81279 85335\n61937 81859\n50112 95605\n84761 85230\n18569 75816\n25286 91858\n25409 93144\n15744 56987\n9928 77189\n12821 76086\n15570 81499\n56526 64028\n85919 89031\n32558 46530\n1930 4365\n46526 64178\n40288 84508\n53154 82011\n63697 88229\n3480 29680\n75271 82681\n32954 62576\n17901 62238\n55044 96458\n76146 88929\n3092 59458\n19677 83659\n9704 89577\n20083 91224\n29204 88839\n1722 46717\n37740 50930\n13527 88286\n39247 63758\n60450 83335\n1864 19436\n17974 57396\n47591 50789\n17456 95255\n7083 13847\n76186 83125\n20530 30822\n44271 60382\n14806 31336\n25427 94921\n1813 85710\n13135 73698\n67158 98656\n3515 17380\n17201 65199\n44638 77378\n32577 89409\n30207 41243\n14179 32645\n71544 72136\n25160 45679\n78623 99655\n33977 98032\n29915 99013\n44508 64921\n37182 94481\n13915 44351\n67486 91321\n30332 78606\n2703 75942\n39410 72932\n22411 93305\n41811 95448\n31541 40726\n27922 73097\n55215 99825\n64221 99566\n47961 60451\n40697 94935\n35794 81271\n24617 48110\n3982 88487\n79805 80297\n5318 79823\n19790 77608\n26294 31167\n8506 38734\n41960 97794\n38728 97901\n42993 58995\n17636 42719\n84452 95559\n73280 81341\n24270 41430\n43543 55647\n10743 33097\n4577 38184\n16938 50733\n40478 98196\n20108 47178\n72225 93372\n37492 68867\n71004 73919\n12321 63508\n91130 91598\n5351 79424\n3739 97064\n54894 76594\n4374 82003\n10500 74658\n35010 56498\n36481 88793\n6271 64917\n19732 50753\n20033 89145\n40729 79736\n22346 95044\n6544 48721\n43797 70008\n34065 61035\n40952 58497\n24029 53358\n13850 62096\n75024 95184\n67526 83034\n26639 66084\n19401 45430\n33438 95420\n11180 88249\n22720 94833\n5059 18710\n21172 88201\n18501 52301\n60680 89320\n48946 50410\n45249 94846\n3928 59365\n20930 96916\n80902 92998\n19343 76577\n20522 34345\n85052 86020\n40513 70997\n24265 65882\n26808 68077\n1852 66674\n49254 87222\n7358 22853\n70950 82234\n56792 83312\n6836 65501\n30803 78178\n47961 68006\n69757 85990\n72401 86599\n43088 59898\n59465 76163\n26515 91477\n24214 47292\n29997 86667\n3848 91934\n63207 75124\n52680 81341\n4966 15148\n54257 64961\n22567 55189\n71808 74754\n26306 42650\n11769 79815\n47750 90551\n20968 48498\n83245 95558\n32010 81108\n54267 61538\n61321 78538\n81723 87965\n42919 70043\n32272 95528\n23323 28672\n35117 82517\n9582 69612\n31340 95804\n82656 95809\n28292 86417\n20928 94828\n55478 99679\n24785 49784\n28462 34847\n79727 95741\n17067 51482\n13731 19920\n5377 98799\n1863 12656\n85217 98559\n2162 81637\n14878 46504\n20358 80410\n10350 61385\n857 66317\n11188 30136\n13972 91923\n67628 91765\n20047 94159\n67795 81811\n25900 66573\n10263 49070\n15361 81286\n52354 67231\n47757 60759\n41588 46246\n35361 49265\n15174 40870\n30085 93328\n3362 45991\n13668 75962\n28346 39242\n56360 63938\n22928 28711\n7180 37829\n41132 75542\n63201 64194\n47069 92866\n51780 92869\n13750 27351\n79792 90793\n27179 60168\n44048 79350\n48333 54275\n32982 96178\n66934 88690\n15064 75398\n40700 43676\n68796 90554\n222 86457\n59682 91554\n58783 71219\n20879 59742\n15402 62829\n72074 81959\n4494 53575\n19947 36707\n4667 56501\n8598 85130\n13119 46444\n60671 98543\n31794 94212\n54614 83054\n39071 66417\n56059 62656\n57643 68771\n19020 22020\n5836 10864\n33080 44958\n35636 98098\n11123 17597\n26345 55970\n41428 82465\n33953 68807\n22388 84663\n52371 66310\n15512 74907\n23487 41181\n35116 88206\n13272 35296\n66625 92709\n36600 46063\n22949 65454\n60047 89497\n40143 77145\n29961 34613\n45087 53515\n17906 81245\n56852 57722\n50260 68880\n4721 38526\n41863 43553\n78459 92723\n63248 81966\n50838 97714\n39620 80466\n6798 48321\n29321 74117\n64642 71224\n69693 96852\n8488 77739\n51858 71020\n42616 92647\n38483 79927\n40923 45451\n94157 99415\n9360 57156\n43 42983\n7436 36342\n2803 12451\n22930 63945\n13141 34566\n55264 93881\n71938 85521\n15871 90035\n27046 48979\n6469 93149\n26889 83617\n52967 92990\n17672 58945\n38153 74566\n22637 76609\n45413 93023\n56461 86243\n52331 76204\n24763 33686\n45961 75710\n50249 65519\n85368 97806\n84244 88000\n56161 92156\n59084 92031\n312 31102\n9006 97594\n92981 98480\n9348 62569\n6485 89581\n76876 92347\n33001 85765\n18563 42798\n23395 26101\n90056 97296\n49094 56412\n7725 63867\n22624 32637\n40653 55590\n28157 37740\n28818 91929\n24231 62700\n7907 80676\n23825 69094\n42710 59138\n30161 35236\n45999 48988\n26924 77421\n10587 52001\n16898 99951\n21088 72136\n5412 58724\n12449 73339\n36653 56102\n39251 92830\n18164 38722\n58447 84082\n4603 8749\n50856 89116\n37134 81024\n36155 73315\n69386 83372\n25265 72203\n33658 68928\n64491 69802\n7819 99159\n86165 92748\n9862 15385\n15813 90499\n2491 16345\n62351 80332\n21618 83327\n76178 90951\n43544 66236\n49815 57524\n44249 64127\n42529 63078\n75598 91172\n19623 24415\n27684 48262\n21211 41951\n26173 90720\n53027 85729\n71241 84847\n13364 40279\n63689 67210\n50860 83628\n11573 27950\n71701 84777\n32040 73018\n75383 82133\n33620 98048\n32575 60157\n16533 84194\n15809 57341\n27446 62143\n27196 48882\n21414 93421\n7595 40733\n5608 62050\n6231 87501\n21913 59565\n51841 61903\n13174 84146\n71900 82187\n47898 59642\n58973 93803\n39703 52944\n25359 73315\n5119 19410\n17977 39082\n5410 80806\n6592 90423\n58136 60753\n55577 80560\n2905 97358\n51630 72200\n58592 73556\n22767 45639\n14333 49862\n2800 75721\n1966 89725\n10745 59622\n75683 94596\n17807 98353\n5485 83955\n34370 46355\n22175 26603\n5840 71531\n74786 86945\n2453 32868\n47217 56357\n83444 90357\n2077 33758\n46782 60963\n21398 29964\n26916 40258\n4205 99492\n39463 62285\n4728 73238\n14927 94055\n2888 18078\n64336 66623\n1696 34231\n33858 85309\n46126 51379\n36503 77357\n37315 45947\n677 41444\n54803 97282\n33595 61784\n31966 48474\n640 43103\n30778 71174\n567 99992\n37269 53745\n14854 55342\n3675 48588\n46907 58864\n2597 43386\n3766 52470\n27943 71366\n69057 88691\n75574 94781\n45655 75950\n27635 35150\n17715 71706\n53786 83308\n57773 72374\n16771 38343\n20901 90689\n30526 44359\n39784 46956\n31245 50415\n73162 76586\n86988 99930\n6994 33075\n42204 85906\n39946 87907\n843 21373\n742 37850\n21554 77475\n36430 56611\n36470 74212\n5617 83540\n27791 89628\n50350 64533\n74481 91406\n24343 26994\n72842 96967\n30319 72329\n20554 32458\n1625 10121\n21118 59149\n48913 74437\n16876 85622\n51518 89079\n43820 48480\n54732 80320\n19598 86136\n25777 49288\n75829 92777\n5382 70250\n27870 96771\n45387 61962\n55424 78275\n2091 79743\n11910 40193\n40997 74865\n52220 91392\n17811 21768\n36527 57127\n43362 73164\n17046 37677\n36475 55948\n9830 40305\n43691 96953\n29463 48550\n69211 78421\n85437 87853\n34010 98609\n51829 55502\n14262 31678\n37196 45135\n90302 94619\n70149 89074\n24039 31232\n18078 35322\n59457 73859\n59657 70197\n57948 60423\n12363 78343\n18393 69369\n70885 97492\n19545 68650\n55161 86577\n444 22182\n3511 13158\n47018 79655\n42439 63039\n5880 62882\n29397 30011\n41318 96100\n74499 80162\n44255 91649\n7897 81563\n32345 79118\n28626 37457\n80208 90581\n41163 52354\n89065 96061\n89890 97575\n6126 71521\n15854 33416\n30747 53865\n27983 55370\n63370 75206\n15890 19005\n19382 43703\n15703 51172\n1873 96323\n70709 89161\n82777 97212\n87691 99074\n9353 13133\n31010 37493\n5168 63399\n27613 89149\n95059 95935\n28580 30275\n30831 73633\n85475 95328\n1503 13399\n76372 92110\n55036 69261\n69932 84571\n4205 8848\n19267 31900\n73499 92850\n12274 46209\n10106 46702\n97188 98430\n65491 90867\n85842 87958\n19769 96393\n4248 32286\n35668 70062\n83041 98196\n9587 35619\n13396 98606\n40298 77845\n49236 99083\n29148 29174\n30272 62403\n42339 45370\n65107 91425\n18550 67156\n39469 43296\n30905 68928\n62839 85786\n28444 87173\n32339 42332\n65308 82689\n35577 83808\n10047 58049\n52017 86364\n11655 25087\n15955 19733\n7791 20412\n5638 47647\n89615 94526\n27938 96163\n13443 90213\n25410 33181\n18929 62707\n43347 52835\n15774 85968\n63897 70947\n61313 85484\n417 37797\n52037 89696\n5788 12065\n32537 49224\n19182 58650\n6839 67342\n30657 65104\n17629 19498\n43349 50235\n43417 73314\n53045 64269\n52596 60031\n10178 68065\n16679 87388\n13556 60805\n241 7997\n879 3885\n48350 77839\n692 10029\n11107 65624\n42477 67721\n36915 63740\n29957 91087\n14663 36665\n31444 34599\n18238 42962\n20820 45555\n29229 37018\n12536 70687\n86176 97873\n29252 64937\n24522 44902\n1592 25071\n33303 38423\n22665 99979\n36271 83093\n23986 70604\n44972 68867\n50907 52467\n50284 97267\n23432 55812\n7454 57400\n53506 67227\n8269 33423\n55872 78566\n42731 65245\n62877 89055\n34876 74024\n22192 33501\n2410 80311\n23322 80915\n21461 60596\n36820 77036\n54619 90435\n57591 61809\n61212 95842\n48031 71974\n30636 76446\n67560 96245\n56112 77078\n28836 34451\n34403 66965\n8784 58506\n32825 69389\n10682 87668\n9814 75035\n4241 47004\n75029 76120\n68449 84353\n8792 24727\n5254 15601\n30303 78331\n88118 99015\n46034 79147\n21499 83689\n35405 71860\n250 49426\n11213 26162\n35466 74433\n60738 79420\n16148 46409\n48431 91473\n12340 27792\n16435 53773\n16085 44800\n25421 66449\n59035 68741\n49761 63168\n77501 91916\n87414 88741\n17999 40229\n56540 99643\n16081 78922\n9773 57832\n38962 52758\n46959 97679\n18995 50204\n49115 78216\n9463 73860\n20597 53398\n67726 82402\n33262 77187\n43493 73268\n76967 86554\n25426 90930\n13171 18163\n29396 68810\n8374 88824\n53533 56206\n46317 99407\n41491 58622\n49582 56928\n58669 68572\n21344 49155\n38849 78440\n67847 71378\n18534 76544\n13349 82703\n4782 73530\n28509 79225\n65863 98488\n2387 43280\n36535 73171\n53141 89736\n4450 39323\n15537 17440\n29784 83943\n50022 57032\n3862 20337\n49085 94760\n14916 69011\n31938 73181\n18753 25470\n40543 45030\n32080 87149\n79170 90471\n89587 92825\n5949 64129\n607 63252\n490 36685\n60516 79076\n33972 77137\n29951 41938\n3383 75088\n36506 38292\n25599 57990\n30622 34484\n15404 20149\n19988 97357\n56434 64454\n3 61916\n43366 86743\n24162 99005\n56336 67049\n40704 74492\n7861 24646\n17562 24636\n6975 57688\n91352 91420\n7623 69161\n57547 62845\n24322 33456\n6267 25670\n15639 87288\n35372 65609\n14265 62294\n68706 95819\n28759 65027\n36802 99196\n50135 66266\n66919 99697\n58445 86613\n27155 44996\n5966 70385\n36407 60954\n49585 82048\n626 7580\n20553 41920\n36310 74856\n42263 55496\n37875 81204\n62070 68879\n66227 84481\n19026 49108\n320 78714\n39183 98958\n42488 98817\n66291 83691\n34046 90021\n33615 72668\n43255 83653\n45384 73161\n13713 91611\n25097 51142\n11416 71006\n8542 19409\n53156 78434\n58857 69731\n31099 54498\n73240 92138\n17266 78576\n12196 85731\n64284 65371\n47582 95118\n17226 36740\n69447 99838\n2711 9942\n15285 67997\n51572 89546\n30185 84157\n15115 57001\n479 66500\n19287 95001\n59514 73058\n17934 93646\n61986 96589\n46841 96478\n7240 13598\n49738 88783\n77943 81013\n37038 73856\n27828 47294\n60486 76196\n60511 99510\n24521 63142\n39914 43984\n30907 31280\n34142 67405\n12294 60516\n41946 86092\n39278 53496\n35086 83560\n8949 43586\n47041 49515\n42162 46616\n64280 86975\n390 70395\n2646 45005\n15818 27549\n23577 77572\n36214 95087\n9117 98557\n56804 66745\n50981 92975\n7212 52442\n32374 64348\n60930 75919\n14815 50776\n5429 15324\n7117 24895\n2076 15604\n84999 98487\n64510 81595\n10478 28403\n55893 87381\n31192 79387\n6011 69187\n62282 85598\n76519 78814\n24339 78398\n41773 81305\n66183 90304\n38411 96731\n45804 96109\n35728 69977\n36618 44317\n22423 99810\n51255 70400\n78994 99894\n65005 73802\n19676 69074\n42785 89141\n8277 89093\n52321 68693\n49150 82084\n81695 92971\n76423 93814\n6058 63158\n5758 18541\n48593 70796\n32911 81354\n13081 34401\n87090 90600\n6954 66214\n47207 80016\n11433 47438\n45695 80817\n67179 72439\n46312 69763\n22931 44902\n5502 8111\n52600 55518\n60408 88080\n63120 93249\n67007 98364\n43776 81315\n11527 94224\n15402 94112\n34860 44551\n29568 99004\n69827 98368\n16167 54398\n16598 79088\n4701 42326\n49284 76727\n1313 45698\n23894 92257\n25156 87107\n18188 71991\n56863 88480\n6166 7516\n36714 73574\n8007 69367\n2131 84882\n81093 88030\n36799 61043\n3177 69842\n27552 31196\n4352 37897\n17097 39919\n31167 73307\n76639 89970\n16679 17540\n4639 15790\n19650 42752\n52690 63131\n9 48797\n7311 90238\n31160 63711\n14230 70549\n81473 91963\n57285 67927\n32187 43856\n16461 95119\n3034 67820\n2973 88753\n53722 79418\n29673 88595\n41428 54262\n3916 67496\n58574 66829\n44276 51458\n22705 32753\n36767 75367\n54588 82032\n7506 47737\n78446 98272\n81109 84000\n30855 86784\n45540 90565\n42298 98937\n63592 91430\n23950 57775\n49716 62304\n35134 48068\n35298 91195\n86585 96774\n6491 43412\n5534 34226\n9683 53521\n29244 95892\n46218 60525\n87284 97045\n37962 95251\n21470 87735\n558 30438\n48293 68738\n34437 59289\n75827 80275\n31953 97298\n85114 86367\n50742 75512\n2171 85098\n24514 69628\n9114 67178\n3399 19069\n9963 67732\n13895 38694\n38218 64171\n8133 23815\n5034 8255\n12664 95377\n25084 98472\n25799 27349\n31392 38390\n34340 93724\n46902 84769\n46130 95508\n36541 84807\n17329 17475\n41035 62718\n45158 57265\n7863 25568\n5898 7215\n15836 76786\n8056 36022\n70961 83029\n47767 51348\n39487 63930\n11382 24906\n2378 89481\n37107 60602\n8238 76542\n77489 79305\n41245 58773\n23202 45825\n54579 56257\n32132 68174\n39780 71852\n79976 80852\n67951 85878\n27568 63941\n24027 58213\n32857 81106\n20518 55401\n49707 70264\n67108 67559\n49752 64258\n34304 44284\n16698 69898\n6392 92517\n64470 88617\n41478 47746\n8343 63956\n23335 99900\n31081 68222\n83406 93577\n50432 54530\n90440 94125\n16161 16437\n5235 23779\n25687 84690\n31617 77827\n44543 52117\n25683 30734\n32315 57583\n10498 73869\n9495 11286\n52811 92032\n41111 47675\n64305 64403\n49731 79986\n45109 88867\n17866 25733\n59578 71579\n28441 30629\n4051 11693\n43134 82441\n17871 53268\n79668 96736\n61323 74817\n6423 49260\n27017 85007\n35032 82282\n24835 54054\n93783 94011\n68004 80403\n32403 43196\n8408 62453\n23096 38357\n994 99479\n52985 94418\n19622 58062\n70294 96221\n39610 68615\n16547 51145\n80991 82022\n92181 93551\n28376 36322\n63566 91036\n7398 72723\n69346 73501\n2195 66227\n52888 75234\n74023 75169\n49028 66827\n8910 65043\n29144 96111\n1136 38408\n21499 65885\n41333 71776\n12045 89252\n52329 72075\n58611 73736\n24328 91522\n10119 33049\n7002 67705\n70298 79829\n64067 98524\n83602 88262\n16411 23232\n10431 17952\n35816 54707\n44229 85326\n23850 69704\n29540 80295\n2833 54793\n20378 61732\n19293 26375\n28063 32213\n348 21518\n53702 89167\n64252 94913\n4567 49577\n11065 98029\n52089 69124\n2996 84091\n38636 82087\n25640 88124\n47370 50252\n54403 84580\n47168 95139\n56841 68610\n17464 99138\n48779 92276\n22404 37774\n30737 79958\n44627 92538\n17802 63823\n531 85783\n63423 91235\n44945 53321\n23749 34961\n25658 66874\n32917 75242\n28592 61959\n47213 96649\n13020 92378\n24913 37668\n38754 55026\n7438 55907\n25603 31705\n28667 99153\n16039 78103\n13027 48249\n78595 93693\n4530 52924\n17227 30677\n26953 73886\n20501 62640\n622 89818\n34587 53517\n32297 39375\n46207 91655\n50564 57446\n97 84812\n67370 89274\n91589 96098\n21146 71724\n32027 51311\n59069 74242\n26381 27982\n15707 50896\n92302 93830\n40867 59484\n59398 91084\n52071 96319\n19594 31674\n6979 53459\n51512 90312\n36191 93904\n6738 91216\n77634 80873\n61901 64694\n31036 68743\n64412 90843\n38341 49590\n54176 88799\n51624 94709\n26436 85390\n33841 93334\n4340 85276\n54669 94425\n76677 85103\n2934 75361\n27435 88882\n5257 39764\n4283 93805\n3265 92166\n5948 65420\n3931 36823\n16269 50631\n26954 52510\n25887 55090\n40791 58601\n56865 64055\n38653 43049\n40583 58138\n59918 66303\n15994 25489\n8766 59305\n8696 78412\n74597 79408\n35281 87718\n22839 57870\n65369 99870\n30 66795\n37855 71669\n12469 43486\n38245 59185\n17133 64582\n21850 83469\n81943 86919\n55161 84917\n50379 60026\n18590 47091\n6814 15081\n44398 55619\n23009 98851\n11420 60544\n31824 79051\n71653 98405\n35042 42900\n34857 59156\n32011 34522\n50874 73842\n20098 20188\n70048 90743\n17040 88191\n2001 31875\n66709 69364\n20644 72780\n23320 62359\n31274 32466\n15742 37364\n51092 79103\n76103 92466\n32767 47954\n66058 87323\n41961 82170\n33763 98592\n7042 83742\n51449 70293\n55921 71689\n39582 40237\n56079 84621\n2153 11076\n29516 61622\n2934 74819\n66222 84531\n31595 42537\n6260 67867\n40378 64226\n49730 75814\n29505 95611\n21708 43569\n65074 71342\n554 19171\n66429 91241\n56201 68811\n6606 30722\n58882 98484\n53420 88480\n38214 92090\n7452 95365\n1410 85466\n42697 97998\n50991 70572\n16593 30123\n4407 92086\n14983 49427\n1768 46343\n49922 50002\n11359 22213\n18045 34365\n65143 96464\n74755 90947\n21393 28010\n16761 34193\n44960 71930\n1779 56674\n54821 71232\n19427 36319\n9941 68575\n81573 95332\n6043 31694\n11310 53385\n79830 85765\n41091 78615\n58043 96805\n64068 78957\n59198 64997\n20079 72249\n333 27042\n39468 85486\n68347 99088\n40605 63345\n8778 54493\n2828 40157\n8379 20824\n11385 75560\n53336 85496\n83685 84266\n65239 79944\n29071 53307\n37956 87575\n23976 64156\n5887 6286\n88036 93645\n46235 69704\n16505 44933\n8216 35212\n11158 61692\n34325 81895\n48493 54974\n13803 21570\n55581 66741\n47674 89820\n72326 88244\n59681 71231\n41722 81174\n2167 72153\n32580 46940\n3183 96509\n27493 37417\n43832 54889\n24700 90883\n18982 25347\n53039 87424\n35480 63519\n33416 91964\n27761 44386\n13775 98100\n57801 93107\n50515 97414\n58774 84803\n10360 18280\n90870 95676\n61094 93310\n62257 84408\n58511 72538\n50022 58987\n31813 40159\n27825 52866\n74159 76908\n34284 47728\n6332 23174\n22722 71090\n12550 51923\n2606 86303\n72159 85322\n85612 86172\n20506 92003\n29755 45423\n123 15395\n38531 80088\n12123 88797\n20520 24753\n22227 54182\n43528 89433\n9571 22527\n32793 65770\n3273 82574\n6501 19796\n27059 35298\n49946 53873\n25794 79081\n20962 25055\n84883 98003\n4048 96727\n64905 86869\n55830 97401\n1739 87015\n21640 33978\n35234 43554\n74228 91623\n37001 92421\n25086 64589\n34601 90805\n7519 63516\n13774 28996\n5074 54607\n16006 20265\n77175 98826\n41439 52375\n2583 49030\n36960 69135\n45743 83355\n17477 80632\n35374 92532\n11497 92896\n63169 75105\n54119 81303\n49131 52205\n24999 39565\n92661 95627\n44198 94195\n19132 56697\n30982 61713\n43023 70596\n92370 92996\n7258 22862\n34342 68586\n54382 85774\n25962 87867\n28214 34804\n1052 80853\n47976 94200\n62503 93694\n9498 12070\n12405 35056\n24125 48079\n9465 40555\n45864 48490\n39320 73351\n78964 96805\n10695 90721\n2746 86649\n33160 91353\n24378 60294\n7941 69317\n21021 30967\n17835 88321\n6824 27645\n5656 55292\n41 63354\n37737 41793\n3552 18232\n20456 99786\n72993 91596\n11537 22279\n47346 96703\n18613 19967\n4741 89743\n7605 93643\n64920 77379\n12774 16542\n12915 69606\n73177 75072\n30161 77516\n18818 72453\n38694 99517\n24482 60265\n24226 77996\n61927 84283\n16527 37201\n16693 18332\n25855 87528\n13135 37421\n43559 84904\n12033 98717\n25528 89450\n41729 68992\n6913 12318\n19905 75141\n13205 48205\n75840 80781\n18196 85194\n7945 23985\n57668 67305\n78684 87448\n21810 33814\n36641 98030\n30981 85218\n16835 38266\n11891 27209\n19313 95451\n19169 74228\n96821 98679\n4758 76071\n49655 91824\n43136 76115\n25518 60578\n42727 97810\n5654 82462\n4919 60659\n10189 74966\n5106 97845\n12540 40858\n19827 82345\n70610 87452\n43798 44399\n26775 39294\n59765 70785\n1323 1855\n72561 76790\n34396 45359\n31435 41183\n15236 28212\n65320 90218\n54091 94843\n58700 67681\n63088 89393\n16205 24859\n58549 88178\n11788 87699\n51842 58771\n63975 93618\n11840 52536\n2809 64954\n61346 90701\n11709 45466\n8655 28027\n1773 45218\n1165 82545\n54604 79030\n7707 75499\n607 11291\n19240 81990\n29847 62590\n2240 11550\n1248 29264\n19496 24323\n47480 95833\n10064 87651\n1349 92052\n19546 32496\n10986 31477\n29956 46659\n59404 86091\n18510 62896\n4865 96232\n35086 45587\n24309 98119\n14644 65108\n35353 50734\n10647 36939\n3158 60808\n6627 14845\n40553 69287\n22758 77484\n63474 74265\n11144 46193\n24945 60353\n34624 81487\n2409 23680\n4417 75961\n66088 74736\n76850 98023\n52626 79611\n56983 86905\n64771 85050\n999 31748\n46097 91650\n23269 55759\n54600 76453\n44246 63767\n47190 92169\n29443 53210\n63927 69764\n25969 52568\n25699 57429\n71708 96322\n50108 61225\n14085 17262\n50069 65454\n7103 31188\n66225 79966\n7368 80018\n50340 89303\n8731 16205\n24993 47431\n80243 98294\n71099 85386\n78121 83396\n43139 71031\n39941 59630\n6340 94782\n15965 86700\n58176 80585\n34407 94996\n18774 50913\n50204 50899\n66416 89847\n19131 45994\n30782 63899\n26222 66712\n18369 68043\n13680 14703\n25788 73065\n50980 82753\n9633 80175\n39697 57710\n34420 92056\n88594 90620\n39853 75823\n31050 72752\n52498 77160\n26456 96375\n31050 89298\n31966 52246\n28375 59885\n67350 89013\n14485 81006\n41872 53177\n38927 77592\n5900 78395\n17230 51406\n25331 61686\n28325 75837\n574 61371\n4226 13497\n39174 75903\n41231 47836\n20044 34051\n27034 31105\n83548 85706\n14261 23558\n30513 68598\n10902 26461\n43047 55663\n34903 77914\n488 92806\n38665 95886\n93073 94569\n11062 93489\n5461 29357\n97438 99923\n50797 60783\n14740 86523\n31244 47234\n20920 33350\n61642 72824\n20636 44269\n45167 72013\n4998 26644\n35945 83144\n37072 79328\n22292 62135\n48861 72654\n2078 96100\n18261 37067\n8094 32065\n2458 35639\n20730 94533\n28246 35293\n13727 31947\n57693 85488\n30393 38123\n71034 93562\n8050 33371\n31456 85165\n6721 58908\n85773 87028\n28465 92011\n55363 57529\n35777 75254\n6057 22058\n35681 83542\n53161 59729\n15289 82285\n76407 85058\n58042 75687\n20606 23939\n21587 29583\n35801 48408\n13754 58272\n37762 75719\n88546 97589\n4155 66823\n9739 42491\n51027 86562\n7112 55524\n56871 95213\n68657 71196\n8742 47962\n18741 58057\n47637 87577\n84782 94653\n31536 90248\n18558 64374\n41536 69292\n277 94009\n55712 71400\n822 37600\n38475 40913\n18891 84183\n12902 33053\n26402 29225\n10200 50149\n55568 63989\n15365 29863\n13407 42831\n67341 75602\n68429 87247\n683 14632\n17996 89926\n4025 44953\n64658 95261\n2876 36570\n15326 82760\n53732 96133\n1224 99391\n13477 31257\n50639 65814\n61535 87656\n830 54636\n18359 43671\n75788 95405\n19623 40465\n30385 62035\n74085 80312\n55601 83285\n21382 33145\n25144 27355\n4874 53285\n22146 27939\n21225 33954\n34005 78612\n22980 95378\n4736 8030\n8070 29507\n10296 12306\n8248 31138\n9950 87192\n84265 87294\n20945 94903\n13500 72056\n11514 75680\n7672 69475\n4643 35599\n82059 82703\n36780 56672\n9692 71578\n7282 14443\n12083 77317\n63478 95729\n18620 38079\n42522 56225\n59529 98736\n54157 77966\n61939 95073\n11381 34708\n44675 49247\n9387 86517\n12218 52940\n9984 34693\n33512 92015\n53849 76828\n24512 56145\n7979 14681\n4107 61423\n7409 55958\n28991 81865\n8369 78308\n14050 79321\n48968 79090\n26988 37783\n5786 32958\n18966 70574\n65048 71236\n96961 99272\n15872 95790\n40040 67562\n48663 77910\n2632 21689\n14922 74162\n29003 34407\n16171 42323\n51637 83719\n32367 69443\n47787 79659\n33313 49794\n27894 63136\n76268 82850\n41384 47084\n41519 69944\n3930 40124\n46312 60184\n24298 75876\n13635 46710\n71271 80231\n57908 91223\n23408 32999\n3891 43939\n70435 96611\n32457 62959\n31717 97856\n26669 63311\n10016 34121\n381 59800\n54253 86904\n4309 55570\n27508 96806\n51722 73190\n40215 87612\n60890 80470\n16500 69866\n41699 48456\n565 7831\n49438 56725\n54675 90581\n55912 70898\n48036 76624\n6794 9315\n37821 59314\n45647 86979\n52198 53995\n36788 63576\n64097 76591\n58483 98460\n1410 96655\n8879 55941\n27803 85041\n35718 50911\n21222 78399\n71348 76095\n11289 13790\n34137 64018\n85588 87359\n49748 55319\n59346 99083\n28687 43084\n34170 67116\n14062 89885\n44475 99182\n27478 55837\n17374 23879\n58909 79717\n42008 94050\n15117 57717\n73943 88526\n14466 91735\n17884 58270\n43926 47628\n60184 86124\n7980 28381\n13640 73408\n19832 68521\n40127 76818\n15429 83242\n81829 85592\n23745 85889\n10108 23386\n45626 71030\n39390 86032\n50900 85267\n17180 35185\n9980 26955\n10809 94007\n5173 86688\n13970 72328\n5876 74983\n22235 44958\n29446 64070\n27938 35990\n49319 53834\n63225 89339\n36124 85656\n42534 83819\n25716 93671\n25592 54643\n37544 60798\n8672 59916\n17670 19118\n3313 63388\n21402 45792\n42979 78693\n2009 62664\n8123 47458\n2159 88551\n10781 52866\n64956 90708\n50725 58494\n7232 11119\n13837 34076\n6349 81783\n33710 47657\n12753 38926\n321 69462\n34003 76808\n9860 87657\n4906 20369\n71479 90369\n10346 13315\n24783 52026\n28973 43754\n15575 35479\n80907 84419\n37313 54745\n36307 38620\n11913 64655\n2555 45568\n63339 85138\n46392 92586\n20442 64926\n743 53129\n30352 64370\n40185 66225\n25295 79779\n1960 97646\n22949 58196\n27683 31094\n28804 95475\n25836 37818\n22383 86288\n91591 98875\n34438 61117\n67086 81196\n30916 86453\n37904 46599\n90425 98257\n35426 77591\n11563 22488\n58788 99535\n53838 54512\n77506 95185\n57765 66516\n6120 38202\n1867 78010\n55908 75915\n10154 78542\n35921 49611\n41362 53643\n22746 33689\n2535 80570\n54780 85203\n36215 37333\n4551 78038\n43310 50535\n6763 51215\n3370 49773\n28263 78561\n60425 84529\n494 19758\n5042 84682\n55888 78943\n25221 53930\n69608 88493\n3327 71505\n54732 56871\n46375 75190\n651 71088\n74641 86822\n22724 97883\n10343 47518\n55716 96155\n54017 90679\n84190 88226\n69390 73488\n45132 53225\n78150 90369\n54754 94160\n35643 65863\n542 28304\n38157 62874\n40111 68022\n40326 81915\n35441 45409\n83236 96617\n38621 45510\n37589 98210\n11812 21318\n50901 80361\n26567 98326\n17328 43123\n23546 92304\n78884 90501\n886 3658\n79663 87188\n85588 99626\n16013 94045\n8673 92981\n5744 19020\n41104 80672\n69312 89454\n58681 92238\n7847 66052\n45897 81575\n13317 19953\n31698 37927\n31181 37641\n21 99317\n76424 77560\n84600 84607\n3892 11965\n71587 89150\n23448 29200\n54481 88525\n42624 91533\n19304 83349\n11192 49409\n50271 91818\n44567 51380\n34602 88483\n20744 39604\n44073 50851\n42375 48253\n36630 51344\n2042 77201\n34346 73778\n33483 55703\n21107 62888\n37258 39752\n1414 96972\n29940 71221\n78977 93213\n59314 80021\n78190 95345\n9171 86827\n11089 82019\n13132 48128\n21435 92476\n13973 75237\n49906 80927\n49127 96635\n5843 39360\n36802 85161\n20546 95619\n17451 75490\n47590 99163\n40922 41080\n8399 14674\n16771 62446\n13002 78796\n78114 81791\n4592 65695\n25781 76289\n23597 47619\n7110 90224\n10142 62209\n32324 73692\n35803 98315\n9068 31601\n52020 63427\n97812 99206\n52735 60686\n6730 63327\n75303 96410\n56831 58282\n56227 59172\n7265 56661\n57198 78162\n7466 57652\n26835 87116\n21279 31568\n18110 53516\n70950 72436\n8270 54477\n18119 60462\n12113 46179\n21681 91914\n10808 47339\n25252 52380\n36393 99631\n67712 74668\n36131 92880\n69022 93562\n64149 93454\n88157 97861\n4643 76746\n13496 62552\n97207 99182\n10200 99587\n73835 74762\n68660 83563\n6778 79560\n68028 85129\n56114 79117\n14993 29524\n6744 89428\n26573 81492\n77251 79559\n2857 93357\n10985 19894\n5598 77373\n1246 47620\n8302 88217\n47041 91678\n28981 93433\n46864 71612\n21230 69501\n3357 8536\n30901 80130\n72355 89498\n80596 88271\n54546 57334\n12895 62522\n35516 52710\n22216 47349\n53419 95116\n66443 87210\n10516 40330\n6459 92185\n7409 22456\n85395 98510\n34404 92456\n13432 45006\n12727 22954\n15613 70163\n21461 53095\n53918 92489\n72425 75757\n10717 83459\n37500 85362\n63273 91676\n29523 75855\n3156 82515\n66348 77067\n45988 85764\n29991 57341\n31209 98473\n79396 97486\n28129 28194\n43365 60833\n4354 13612\n29219 92408\n49195 89632\n4038 11482\n17551 97530\n28956 45313\n16868 44468\n26655 78909\n36119 62498\n32325 81425\n34011 98754\n59578 90882\n32686 67910\n21834 61042\n22235 38292\n4389 32597\n84820 97095\n18926 45489\n66680 84367\n42168 47288\n13896 93400\n33313 35653\n74175 98216\n27707 36277\n6878 26036\n61113 80934\n26646 76565\n19433 38436\n58637 88316\n22491 64279\n52432 58257\n25096 61150\n52403 64296\n17039 51658\n41698 74156\n27551 72776\n36962 44694\n7289 7362\n33066 41089\n6688 71860\n45624 81895\n17149 91583\n59105 88412\n32606 53362\n26143 39450\n43031 61391\n11480 43001\n77985 98776\n67914 97764\n44336 88690\n10857 43057\n26086 55586\n36844 82630\n4828 41913\n16617 62396\n34722 59592\n15272 18483\n45541 72613\n18013 20509\n13084 71556\n54310 71507\n35326 79365\n11040 86186\n729 85668\n54549 64275\n5737 14751\n14343 85659\n35884 88662\n7766 45409\n34958 67826\n20306 23327\n39632 65974\n12760 54280\n41101 89049\n6518 78328\n42454 84683\n60565 68677\n26712 86620\n18771 56963\n31654 98653\n10664 78133\n14244 85581\n29316 87488\n28769 94107\n31490 89594\n8108 15491\n72206 79593\n4407 10136\n58380 67752\n10749 80500\n41035 96895\n31867 81400\n49952 63279\n41146 82714\n11763 72561\n38649 71729\n72163 81177\n9988 15014\n14949 86072\n58507 82782\n2015 65032\n55237 72128\n7075 95912\n62209 87661\n1082 54490\n12197 82136\n71155 90788\n43555 68230\n80849 92732\n24695 54359\n43992 82328\n3181 90698\n57635 77761\n10543 28484\n4284 93811\n43450 75552\n7191 99964\n67405 78501\n56442 98966\n45392 63740\n61945 84277\n51563 99074\n28040 57246\n24210 57283\n55769 69782\n74349 94859\n33227 52085\n13200 62587\n57911 60435\n3657 52029\n15195 27440\n14573 91544\n4319 56185\n54785 91482\n41317 50117\n32910 40866\n55468 80553\n4016 50073\n30001 37772\n10228 52916\n6188 66512\n15618 32095\n46 57433\n20720 51374\n3996 96049\n13049 32109\n86776 95787\n34102 89449\n47027 47915\n10376 73517\n8037 35889\n1976 26055\n71819 99942\n3343 65718\n43095 88390\n58542 69311\n1119 39788\n12215 76037\n17392 74767\n72745 96286\n2758 36657\n30293 52506\n23762 36363\n20764 53553\n51776 87848\n12581 23572\n3285 9825\n13210 83025\n7286 83805\n62527 71153\n2558 34985\n39720 45703\n53624 63115\n23845 87612\n17618 23724\n46677 79329\n23665 49154\n34090 61144\n28745 99392\n26297 30143\n40520 92087\n10993 91658\n25187 97108\n40890 76671\n71676 90573\n26347 76257\n3238 63236\n48270 81985\n58433 77731\n61646 93120\n60491 97394\n58015 73169\n6057 83263\n43009 90135\n46058 87928\n51100 58018\n96396 99936\n78953 96570\n12227 84693\n62385 85460\n7171 90549\n14120 71667\n14629 60853\n75754 96084\n3229 41542\n32023 50324\n75115 80798\n37053 87255\n83308 88463\n23233 74047\n46875 60363\n63395 67328\n10257 80429\n13012 34003\n14436 84740\n64228 90147\n9843 69732\n22780 54656\n54 5488\n25221 90604\n8108 74904\n84560 86363\n23000 75185\n52165 94039\n47162 93334\n32927 48624\n62646 79531\n88392 93162\n68239 99318\n1820 19546\n17408 43885\n55525 72840\n52190 92888\n57012 73827\n4251 57298\n17483 67813\n9388 39291\n33596 66759\n63591 85097\n78429 82188\n37949 45864\n75740 90176\n33005 54867\n14 87665\n8289 45147\n49628 52432\n80715 91676\n36642 53402\n4039 58872\n26352 39520\n18450 28247\n16955 70758\n48596 68789\n60882 98623\n52786 61846\n25760 64462\n48105 52605\n15777 52988\n63323 88233\n47883 94729\n12611 48557\n28921 46851\n10632 82901\n13770 20583\n16445 42994\n38941 73977\n9062 69148\n25323 69456\n6560 61485\n8711 53050\n34047 73484\n60295 65862\n28727 56820\n3529 36071\n24124 94530\n8485 60513\n66467 77885\n48439 94751\n53266 62266\n12267 52172\n16227 77613\n10419 41838\n45150 58844\n82911 94534\n55530 67604\n8442 15640\n36924 99390\n43113 55857\n20545 91242\n38352 44209\n50898 62787\n80274 97604\n78755 87554\n43794 84195\n19154 39707\n25392 78318\n40376 75782\n10992 44335\n58990 63905\n65434 74773\n54130 68438\n7412 97326\n20808 48315\n3641 45034\n29805 33913\n50672 96661\n42462 59822\n23428 77890\n33072 66417\n36466 71589\n5728 45145\n12726 54764\n22452 47954\n15220 20444\n49406 55398\n27341 92838\n7516 86555\n4027 93590\n47149 75720\n44274 87547\n18057 39324\n20150 41580\n36303 84063\n792 69037\n5181 40285\n78054 91789\n22100 77280\n6864 58058\n91412 93492\n74848 98340\n58141 72874\n74229 82873\n41876 79530\n35466 96237\n87463 95006\n25932 47299\n19303 59469\n47580 59244\n44548 80074\n9113 68195\n45368 68850\n27774 81341\n26652 31224\n3966 60561\n19175 26926\n20281 28256\n80114 85892\n5973 44133\n10965 82878\n15579 52376\n1666 3966\n45339 50845\n86037 90675\n24936 25682\n19170 42011\n5150 97806\n40444 52143\n22933 39216\n20872 61764\n59221 85353\n18392 58653\n5834 36668\n16248 19818\n58280 61362\n23412 62007\n17168 81042\n3385 86053\n4901 17300\n28091 33614\n7059 57990\n8075 96006\n65374 82870\n427 69627\n67812 83673\n60473 73467\n55166 78617\n42436 47725\n61527 83117\n42752 62947\n14912 52278\n9055 44066\n20080 74955\n44765 61702\n30294 81639\n18236 87913\n11850 76211\n25321 72981\n56082 92531\n7967 66653\n62146 72412\n72033 85708\n54017 89211\n3042 40293\n12300 48395\n61536 75775\n17032 50109\n32908 34196\n23991 98252\n15006 19760\n37230 40658\n11849 16311\n44686 54144\n14185 50552\n26991 70375\n62483 99465\n18205 91063\n8557 55855\n16277 41059\n18557 56608\n63491 69014\n6503 80136\n34894 56627\n65887 90991\n44773 97964\n45904 95576\n42253 64957\n16936 70245\n4625 63642\n17837 60626\n38610 74441\n17820 31591\n80884 94861\n5374 17696\n45491 76993\n50768 64773\n48525 54921\n1429 15058\n45579 83351\n15520 42691\n16313 43719\n38626 74307\n3027 60996\n31689 73013\n67804 71153\n1950 78323\n37379 82736\n70685 99928\n75445 75597\n70289 80125\n20645 73838\n52116 60717\n30390 45790\n927 4180\n98728 99081\n91315 96822\n67459 97624\n39426 63788\n29815 44173\n87391 97917\n41472 87888\n16751 40464\n41520 62734\n28550 77241\n8251 92647\n11362 45661\n12079 98641\n31645 72244\n25921 56585\n18454 90167\n21126 58983\n53782 92639\n10600 94357\n25429 44828\n3284 58979\n52785 85914\n39054 40265\n59333 67398\n70965 92331\n16500 93060\n85361 99352\n56713 96542\n43720 79883\n11558 60599\n28084 73874\n18435 51673\n30488 92647\n58546 84883\n60562 61377\n41221 78034\n10006 29683\n38612 64722\n29512 60844\n12679 99055\n496 90639\n38308 66020\n63689 95407\n37068 74952\n58243 77890\n79934 89376\n57399 99420\n11927 65893\n5239 82330\n73794 99643\n10594 63838\n10525 58591\n52572 59251\n4007 64550\n82214 85360\n19867 71547\n74627 87502\n12696 32613\n16281 56142\n19916 60314\n61155 64777\n81002 93313\n57434 69088\n240 55163\n9527 36533\n5817 63372\n19707 94751\n11368 94297\n79682 87468\n51188 83125\n1730 85328\n66547 89472\n33538 97053\n1664 25890\n51423 57122\n62299 79801\n6078 91972\n5384 5715\n14464 71590\n67285 88951\n36721 61557\n16784 74240\n18918 67853\n40186 88899\n52213 58711\n6648 37239\n44217 79840\n6687 72178\n77005 81139\n10806 69214\n4750 52021\n13484 19479\n66236 88678\n16216 72458\n71684 90451\n25445 93685\n3732 57267\n82399 90089\n17701 84953\n9952 43370\n47256 76368\n27545 69781\n9198 78602\n63070 67477\n64893 73223\n25250 29919\n29747 74170\n46538 49078\n14791 15634\n11763 42364\n531 55352\n56943 82755\n25287 36994\n30115 85094\n10403 97259\n46535 87343\n58671 64509\n13313 61538\n7758 15231\n54112 54429\n17619 69128\n6230 83722\n38229 70433\n43182 53355\n32208 56000\n50975 89896\n5483 69457\n3553 69962\n52526 96456\n21671 55338\n20377 64695\n23823 93533\n8506 13276\n91254 96439\n27246 52194\n27450 85070\n12608 47969\n38527 62938\n20913 54292\n33655 58756\n38704 82783\n45602 54356\n37234 74327\n71322 99112\n32472 52061\n22729 46867\n5445 74561\n54684 56015\n64732 64997\n95310 97997\n9546 96883\n5875 33179\n53563 88120\n37444 76248\n51791 66263\n58172 81105\n4234 8329\n26039 75656\n3851 87121\n5850 50266\n57487 62384\n1523 6594\n1690 22218\n50160 51912\n56915 96611\n43848 76768\n58303 83541\n13491 26937\n8848 69577\n6794 16960\n33002 48359\n16988 92135\n6614 34271\n4763 56052\n44330 70362\n38412 55877\n10531 55139\n17396 18653\n33703 59037\n52232 88974\n26377 70002\n55552 90626\n55049 95181\n44426 75372\n74513 79205\n19096 45003\n34016 80304\n53526 86407\n21440 79711\n41592 89787\n13297 86401\n10199 34158\n39403 98154\n42912 55773\n14244 99144\n33711 76846\n18254 66753\n16831 30155\n77698 99580\n6663 65744\n20802 59820\n54547 72380\n25697 39719\n12925 23750\n31729 76092\n64590 81256\n74140 79422\n32131 32588\n35823 88180\n95915 99374\n15867 61808\n24730 59904\n31437 77934\n17612 63737\n9763 23721\n13537 39238\n38266 66861\n5515 18756\n27482 67522\n34126 53899\n55728 93375\n60252 82684\n8589 47156\n18139 72815\n36307 83183\n48219 86315\n45682 92899\n27126 85870\n45821 85684\n27333 56323\n25820 47919\n5033 85644\n1467 48643\n123 50105\n89554 96893\n23519 52663\n50947 51684\n21466 58895\n30567 49756\n66507 68497\n53776 75158\n24543 33700\n26072 35076\n63228 66018\n34697 69769\n23573 32588\n55435 74746\n14729 60588\n8551 49798\n65826 88778\n7202 35301\n85062 96484\n47214 78635\n30303 42700\n35724 96594\n21953 73438\n22577 32160\n8616 89332\n17159 55307\n27774 54964\n61328 64814\n36240 97437\n9167 90024\n4042 49933\n4548 94150\n42867 43367\n24823 95501\n23504 76042\n90007 91388\n16753 68160\n72023 84779\n33938 49252\n13854 18662\n33260 90547\n20491 80280\n3274 85108\n13966 96461\n42054 46597\n28392 42010\n73250 82406\n32645 97758\n17885 99374\n1094 9255\n64363 86265\n39488 57190\n83587 91469\n5365 91071\n8309 80541\n2558 13790\n17306 92589\n84200 93422\n4590 97785\n26965 85385\n33730 42333\n34152 58301\n39927 74976\n1375 31762\n36931 44536\n78484 99297\n47971 64568\n26183 44078\n35564 36019\n31912 34878\n89989 95659\n56734 68078\n8307 63408\n18322 23781\n22126 46821\n59149 64161\n48133 71160\n5180 83545\n22462 24698\n25851 98212\n11531 54481\n40337 57387\n36774 52378\n10651 38199\n38591 89677\n62196 76033\n61554 83500\n8209 93227\n39870 82289\n8604 11512\n45720 97400\n34886 49236\n59407 78006\n5678 77554\n44785 58647\n11766 43970\n65146 99913\n83705 95606\n16460 31347\n19891 69493\n16526 81604\n46165 90011\n18114 64427\n19903 28426\n12421 17858\n46158 89375\n45860 64886\n8791 14380\n45404 70663\n19304 60441\n51214 92815\n49019 71663\n2029 4014\n47109 59206\n14691 90993\n43199 61554\n34131 67077\n20818 98661\n20282 60434\n19680 86241\n7017 40944\n77268 83989\n83780 90968\n10654 58911\n20065 47380\n17435 92456\n5162 38681\n6511 44848\n12001 27130\n4827 56198\n12976 95406\n63903 78214\n1705 89699\n68942 87355\n13440 52782\n10360 83798\n17136 50506\n51541 75121\n87458 88582\n76401 97791\n42911 63515\n40229 57472\n900 11308\n33696 48331\n82885 90077\n53408 87919\n75301 87831\n60038 73491\n51533 93567\n27614 34547\n74188 87502\n16084 23830\n4874 18131\n23505 74497\n57734 63931\n40854 70139\n26068 47286\n46013 49669\n17834 40377\n54095 61218\n24942 42546\n36876 50235\n11318 49278\n9498 78557\n40844 87771\n29965 36298\n39955 87755\n59976 62960\n22033 99969\n7647 66299\n15788 68221\n61688 98439\n972 10971\n37714 98266\n2608 86312\n865 76813\n9789 91643\n68773 85056\n67797 85622\n14056 53967\n9168 79760\n27960 66782\n8078 96707\n15538 27104\n71761 80136\n91694 97276\n60617 71873\n28383 58777\n73274 83047\n2387 63980\n21696 59818\n22720 29608\n75310 97114\n3840 21029\n9937 15344\n32337 53393\n20897 56468\n1384 27390\n27537 92258\n50394 85390\n51214 59414\n30973 48585\n36617 59926\n16309 81062\n63941 99815\n12964 82231\n39195 43712\n38784 46136\n92133 98526\n35430 69149\n78643 81888\n44571 64421\n35914 94264\n27517 40152\n48763 70818\n26704 99274\n53781 66302\n36338 80683\n24989 32531\n26898 54230\n17580 47987\n77923 81284\n20623 90322\n10762 50453\n9867 45740\n63057 96652\n5547 91671\n34714 46046\n28701 70998\n17554 22425\n18667 32294\n50172 72243\n9572 49316\n53464 71243\n59763 90668\n3309 87922\n24066 80627\n12035 56542\n23350 64470\n4623 81767\n37907 51369\n44902 46674\n38933 85296\n30944 62688\n18619 19193\n11861 72728\n23654 85106\n55161 73993\n45502 72504\n3182 68853\n9573 52799\n10242 24230\n92098 94848\n13198 60551\n13333 40834\n11743 60147\n42524 52279\n49816 56480\n664 83925\n52270 96593\n47829 97842\n40462 84199\n65654 99172\n3921 65088\n73299 91845\n4711 68113\n559 22519\n41190 95866\n13024 60333\n51455 56968\n22364 95537\n6701 67906\n34496 71698\n51563 87320\n14188 28246\n10982 14190\n21501 30073\n37920 43148\n73758 80969\n22152 38605\n64200 81580\n10291 49605\n7987 11379\n15646 47803\n40511 91635\n3401 28736\n12424 34408\n9301 17040\n31373 71458\n36306 83577\n20626 35346\n54977 81581\n4130 29566\n82188 83694\n42534 46801\n50836 86515\n59280 94954\n65430 67753\n39871 48580\n29727 41664\n39240 91582\n62849 94888\n17079 44282\n8506 88254\n20039 62383\n29102 46528\n8842 42687\n25106 42406\n47978 78752\n13161 41941\n69087 78453\n28679 49451\n6626 57953\n51431 80535\n49 5100\n77497 81967\n88474 91001\n65592 81569\n11109 83262\n52747 86856\n76333 90594\n50201 72539\n65805 72388\n14413 90655\n2818 70098\n5772 9187\n190 23741\n64708 94518\n13424 39058\n64146 96152\n32177 77904\n34705 67240\n23968 76511\n63325 92392\n45944 80873\n88946 91066\n38218 78945\n6851 35542\n84207 92084\n38041 80465\n42632 67856\n49021 95659\n44402 57850\n45666 58705\n10781 71478\n26202 86556\n15844 91654\n8065 71167\n38100 55135\n1130 82547\n73187 88524\n9489 52380\n79659 89278\n9156 36428\n1746 15734\n68420 93692\n93858 98503\n30438 75902\n62863 64902\n79365 98474\n33010 54624\n20320 42268\n29316 81473\n75520 99769\n68982 72369\n37855 66476\n17871 41024\n37872 58111\n6485 18844\n16869 43089\n20623 29491\n81140 81463\n24440 33534\n7722 20686\n5453 80917\n43570 61819\n35918 40373\n4294 66099\n26454 34384\n44492 74666\n994 40747\n33208 50338\n24405 89347\n61740 71706\n39635 57374\n19499 74531\n42804 97140\n30622 67476\n16913 38740\n30610 41875\n68246 76147\n60084 70263\n3408 8010\n39625 97349\n65125 69453\n6639 70079\n33759 71126\n42910 94561\n67257 82107\n8183 37853\n97432 99357\n50239 76407\n62990 96130\n81333 93505\n18102 91931\n30882 72015\n82 21474\n4912 5193\n3883 19326\n15410 77364\n26439 49136\n19590 53434\n4673 8747\n36015 58281\n64029 94250\n72873 79063\n36025 85471\n4612 23550\n40155 81521\n34706 41269\n69563 98301\n1118 27657\n44759 75949\n63828 76482\n72430 74743\n71580 94719\n41687 66628\n30071 53803\n19798 73311\n20688 86368\n23047 32689\n21179 34016\n10018 13004\n45200 53465\n39336 41602\n59740 96485\n14097 76749\n31891 72343\n61646 84608\n9144 60660\n36687 38858\n44497 60625\n11871 97967\n3748 28650\n12477 81454\n92592 94031\n20854 62999\n24307 42291\n40195 43527\n5212 64512\n36770 73125\n30847 81295\n9929 17176\n43800 86163\n85475 89473\n51899 95714\n53372 83339\n43158 68474\n86569 90615\n23099 86629\n6120 70854\n12282 68542\n19185 34720\n18076 81337\n24828 31258\n39664 54359\n14596 63022\n77305 90082\n30670 78753\n26926 86889\n84200 94281\n31708 67268\n14617 46374\n41089 56689\n18996 21283\n24021 81433\n12824 34795\n61692 93795\n63080 96798\n30962 69573\n30138 56612\n37199 49968\n24718 68831\n47967 62693\n44223 67074\n56383 61311\n43648 67539\n23504 57983\n50648 76719\n10943 76908\n84065 99380\n69279 81648\n67313 91851\n27603 48505\n13788 51374\n13144 24120\n706 21088\n6015 28622\n30194 45699\n14786 40315\n33499 83354\n45793 54880\n21719 89681\n28245 88578\n72959 88511\n66965 97340\n40437 71502\n48349 56852\n14431 90412\n40334 88110\n15923 59390\n49876 53739\n2698 82285\n4199 19687\n43685 47661\n28826 54854\n10750 45562\n63358 82200\n78123 94136\n72064 87337\n46125 58271\n55322 86832\n51099 79899\n24045 34607\n44671 77987\n36581 43561\n39117 65821\n30647 39994\n11586 36535\n14345 78669\n12776 21422\n259 78501\n17944 53327\n30213 89019\n33084 93649\n683 1490\n38003 46319\n56305 69666\n29221 83169\n15987 99318\n66594 98154\n65731 99503\n42071 94311\n45449 74444\n11011 15685\n26460 75399\n2901 63768\n8825 99174\n9366 13168\n24115 97439\n19233 51424\n48377 80563\n79120 98967\n5592 91256\n710 70126\n18369 94543\n41768 89089\n30664 60099\n25617 99812\n17987 56851\n45834 55045\n26930 58400\n238 91761\n30546 58741\n62117 64303\n16908 32737\n12476 71585\n42433 75325\n46242 98576\n4373 72054\n83151 97720\n78826 85195\n8886 38780\n10273 75294\n5731 99510\n6360 15534\n18775 87438\n50332 71315\n44095 60569\n24737 89887\n6291 36913\n19119 30065\n10586 79201\n23736 72534\n28198 53433\n73039 90044\n6277 42404\n61779 89306\n25422 41229\n767 3113\n26559 41634\n29306 61347\n63032 64079\n8755 42440\n44233 54017\n35692 84570\n57140 70494\n31846 53862\n8472 17254\n5809 75109\n24910 92542\n16302 48632\n45591 62537\n26818 45590\n51444 96721\n60328 84087\n18780 23853\n19197 45153\n19910 37282\n45681 58355\n1342 95956\n73594 91193\n14062 78331\n35104 97106\n15670 62867\n7429 9588\n33244 83400\n20935 92633\n18821 60958\n54299 63691\n6550 44600\n6512 44361\n33689 53811\n10785 67954\n29958 43625\n17444 74508\n17707 48447\n41650 87737\n63244 99715\n93324 93969\n18452 27153\n35060 65271\n36667 82209\n1548 19454\n56792 80689\n17631 38096\n40703 84727\n52483 88143\n10066 91225\n1716 13572\n80228 94512\n31167 90984\n10714 85444\n9000 61874\n42347 65023\n1155 46500\n47711 53735\n67390 75227\n8058 83432\n29628 66993\n45824 49988\n79847 95280\n45991 66018\n87730 89806\n33973 35939\n8880 96934\n7873 48130\n18519 21983\n20769 36839\n17222 90046\n82615 86509\n19875 54984\n25593 75534\n41187 92571\n74203 92219\n10195 42342\n17357 81336\n59254 74380\n42523 47681\n33375 49135\n37052 69809\n7266 32145\n1619 85481\n15143 26444\n54151 75339\n77321 77835\n426 32582\n58322 84910\n64624 68205\n11227 44364\n21625 23047\n40249 84133\n26206 74543\n69740 71507\n27857 79070\n17554 73926\n21521 26557\n8001 12825\n87111 94681\n40917 65271\n124 3194\n7083 74470\n24084 59425\n82788 82824\n60969 67305\n6026 33299\n10895 56150\n34191 84881\n902 3920\n61673 90885\n13748 36086\n10052 34371\n52060 71911\n68114 80544\n37686 48004\n5247 62435\n3662 21647\n17224 62516\n26658 85520\n22486 62715\n26335 84138\n5723 62282\n28680 32067\n22827 96467\n4531 61651\n40088 61098\n72690 76452\n28156 32102\n86695 93303\n37154 58946\n416 60344\n50200 69649\n64535 80090\n9167 32568\n13000 64398\n9909 65864\n70260 94455\n2332 47956\n49154 56942\n30739 53421\n8595 54177\n45142 55592\n49116 89585\n48364 56842\n10466 38161\n2586 46074\n64314 91144\n65389 80876\n51250 77189\n61291 99272\n93123 98471\n81443 99477\n13419 36657\n33316 33563\n71474 87860\n53952 69897\n8735 55894\n67748 72962\n1576 74536\n8465 97187\n37947 42083\n28198 48084\n58814 95650\n20208 83387\n9049 35783\n82143 83139\n35819 37983\n13218 66800\n4864 97118\n22852 89455\n40270 92271\n45139 68420\n44048 92350\n26175 95799\n5239 96918\n31737 43012\n42407 59755\n35250 79078\n25115 49397\n7842 25471\n56 77517\n82063 88908\n45865 47040\n2726 22168\n35434 95247\n10507 32200\n23131 28390\n72031 88854\n39488 50337\n73375 73550\n41285 68411\n14638 29366\n4388 38966\n38986 93123\n50212 64357\n71081 87199\n28936 65690\n54347 58889\n25087 71934\n7141 38013\n34425 68052\n45037 64486\n74535 84000\n25794 75050\n15482 32323\n85973 90189\n1502 53165\n20806 77658\n21377 47742\n37215 87785\n34267 96090\n47442 80247\n31821 32471\n392 5846\n6415 89084\n695 58830\n30552 70090\n43111 78401\n25546 38739\n49512 53230\n43022 56655\n20370 64394\n44976 52426\n53187 83429\n73550 96402\n22514 33902\n44591 63381\n16810 17940\n37230 93719\n21332 32147\n4033 59855\n15397 45181\n54936 80574\n18197 61894\n44056 83069\n85 78735\n18015 42985\n13731 93586\n18303 71214\n22035 42465\n73497 92593\n43733 72297\n42495 99573\n30930 44544\n56075 59592\n14491 43539\n39982 92720\n19608 83696\n25055 39144\n11419 93704\n39482 72110\n66683 84214\n8066 61572\n43008 74017\n36468 81064\n51763 73878\n1798 16989\n24307 37432\n27140 44023\n22422 43562\n52858 68207\n36484 74931\n1236 78365\n5400 18120\n58807 77551\n84292 95155\n6595 33644\n77302 82156\n43976 58287\n18554 60027\n14923 70431\n21433 23444\n16880 80122\n54808 80404\n50150 85871\n38054 47708\n34505 72953\n6471 60275\n16196 65490\n25029 48984\n35878 74673\n21638 86379\n11368 29499\n39071 44721\n5503 34749\n9795 24981\n630 48565\n2310 71753\n11599 41158\n74242 77472\n77946 96494\n64640 68486\n4215 25359\n15050 35459\n41003 68538\n17400 51268\n66299 89884\n26391 87791\n13802 49860\n11643 80206\n12254 73517\n31658 43319\n30567 51254\n24910 41000\n9733 45443\n2334 45668\n20209 52216\n4809 75116\n63989 99205\n80158 94134\n59511 88379\n30778 52757\n59712 67635\n22524 40722\n2432 50751\n69097 70425\n67006 68087\n12122 95345\n39461 90879\n72793 83376\n69172 77181\n17338 68925\n11721 59977\n48080 98832\n70439 72708\n85165 96560\n48791 69424\n10066 49339\n24968 34873\n2307 9431\n24278 80259\n31202 69773\n2478 40496\n21588 78844\n1935 23040\n38925 73352\n21747 44642\n7173 94550\n33686 40867\n18833 76691\n38356 89661\n83972 98050\n40573 53416\n30093 93370\n72697 99243\n37064 51930\n4028 99477\n18667 71509\n17767 83504\n81017 90738\n44506 62248\n85413 96002\n32173 77291\n266 22668\n48394 82513\n10543 45467\n26490 81190\n5081 27004\n16444 51195\n73316 87561\n24261 45410\n42387 81033\n35140 75691\n6232 80804\n22415 37414\n597 71266\n7728 19543\n38349 93597\n65218 96504\n16740 40310\n44375 97451\n99424 99950\n39319 91695\n79556 81820\n60621 72326\n28103 61452\n56951 66774\n40179 59203\n18822 90914\n18826 68023\n21526 54711\n31228 64461\n9504 96035\n16454 17455\n6797 19434\n20957 54413\n1496 40077\n6206 83650\n24564 51943\n4185 16225\n17865 83606\n47876 64983\n21649 66023\n29405 36630\n24842 58162\n2143 58901\n4936 56293\n2495 32515\n81303 88840\n24916 64067\n1091 47745\n59166 75338\n17004 82778\n64574 78403\n16615 50992\n52294 76813\n73321 84796\n5803 34911\n8030 19213\n27392 75841\n12828 35331\n157 59244\n59423 69160\n41428 91089\n5948 84019\n20576 43614\n62817 97101\n32278 46452\n7096 52820\n17961 46453\n59732 92305\n3997 97010\n33960 95479\n54522 75849\n52176 98975\n55012 63697\n27777 31083\n13497 17423\n67654 85145\n78803 86916\n8724 86664\n5180 12762\n51509 97616\n92194 94812\n11671 19804\n3500 34465\n11536 89538\n51773 62166\n11922 82299\n917 61809\n24380 54719\n79286 98454\n12899 88944\n10352 90223\n17784 48275\n64315 88914\n4130 74539\n48045 66761\n93680 99250\n50969 98212\n20068 90099\n1829 94295\n11808 65405\n13264 98790\n29570 32816\n61266 66644\n53067 77895\n72642 81386\n11554 95038\n74404 80766\n73576 77062\n14413 57803\n3802 58100\n39980 47871\n40031 42193\n16594 17645\n17038 61224\n56869 67367\n19673 23944\n10889 99248\n23899 54175\n6393 9402\n13999 19345\n92449 98288\n52966 77596\n17025 25211\n2550 10779\n59041 95136\n8632 77673\n19362 96350\n27732 53004\n8309 56195\n62157 66160\n20623 81917\n72380 92385\n30193 53219\n11532 94341\n18280 90652\n59456 71114\n31443 82629\n61172 85993\n23414 84316\n62913 93508\n45130 96625\n32795 99456\n28541 68007\n76772 96678\n21725 30335\n29006 53528\n57284 80096\n69792 82984\n8371 8948\n10043 90693\n675 87377\n75908 82780\n69230 91887\n56241 78689\n65127 93064\n35587 88780\n82433 83000\n5858 88850\n7183 28984\n57307 70733\n50940 89351\n73906 95744\n43855 51479\n13091 14891\n77779 87888\n18162 60320\n10797 70403\n64054 92379\n19582 93813\n2994 82441\n40116 97800\n17208 43527\n49439 78584\n18095 99303\n68319 94651\n5235 66785\n29042 98428\n32949 42188\n40373 85214\n81126 90480\n36460 67506\n28697 78026\n10673 28097\n12927 78164\n49058 57097\n3915 96770\n3434 56833\n805 73953\n19994 65466\n2125 96246\n81076 95207\n33649 38512\n27244 64765\n12760 82673\n55992 62575\n12161 66611\n7661 69413\n45636 60769\n18241 87867\n67675 76274\n8969 22447\n55006 81338\n41777 45914\n38330 97806\n47915 61603\n693 39716\n17287 99626\n40322 78353\n57556 89159\n32561 79010\n21827 74380\n16943 41420\n37674 70690\n65445 77511\n18229 32561\n43028 49990\n5702 11215\n56897 91639\n17966 21718\n25113 50156\n11142 49780\n91836 98236\n96946 97770\n33384 52366\n60525 73995\n11807 17792\n31748 59502\n10542 50954\n7620 27430\n16911 60285\n90542 95905\n17345 63918\n64937 85710\n28899 45064\n30502 86844\n28450 72200\n12944 91635\n40526 94373\n14185 66688\n71424 81487\n30965 42184\n66677 86276\n72545 84980\n61682 92742\n16352 32303\n87328 98078\n40259 79306\n26592 32838\n35338 82819\n4144 86656\n196 15980\n13745 61873\n22163 49749\n11027 27580\n82200 93246\n46452 64725\n24496 56119\n42045 68092\n32413 59814\n18031 63956\n85130 88097\n43202 97506\n29330 50164\n7420 77272\n43357 87073\n15947 16807\n19570 47325\n8671 41881\n49625 57711\n16955 85455\n71248 91002\n88543 92153\n10757 17742\n57875 93648\n80963 88795\n29775 48275\n52993 86484\n57207 92583\n93620 98842\n1640 66701\n51761 78716\n5777 55163\n410 41503\n9513 16272\n19052 65795\n2198 31591\n6565 59770\n59132 89766\n83343 85101\n54679 94521\n49468 96037\n43584 99530\n66691 73230\n38908 82495\n50832 68888\n74960 93943\n76329 83833\n87925 90628\n29995 76065\n85466 87760\n56104 72264\n8800 49513\n78946 79929\n50285 62168\n67764 75998\n40484 56603\n40474 91112\n22558 39968\n29432 73795\n33013 81047\n813 81393\n42900 78145\n33761 41364\n20843 91264\n13659 50169\n71847 77436\n40311 75286\n17395 97714\n32403 58217\n45737 71232\n777 7375\n59695 77200\n55763 95683\n44455 85645\n32975 64238\n27132 75840\n7885 11125\n45916 73265\n60539 98848\n14442 23336\n4220 93889\n65129 88624\n23832 51327\n22897 95920\n8112 49453\n76428 95070\n9046 68821\n44454 97187\n26560 28677\n9478 28080\n61286 70395\n12328 79298\n38580 69822\n10218 91061\n2287 96524\n33277 93977\n60533 71839\n12308 20023\n37569 46748\n75693 77570\n59568 99862\n78208 78418\n41853 79916\n56417 97337\n10662 66921\n41873 69264\n56049 65651\n39431 67888\n29635 83588\n11577 55951\n51372 97613\n74414 92489\n41617 95258\n8913 59508\n3515 12151\n36679 72906\n8891 36592\n18996 66128\n15394 89926\n75541 75936\n20391 95214\n28300 99759\n28453 84572\n42188 66441\n41974 93017\n23647 77306\n30843 63489\n11991 30049\n37313 63733\n17398 74913\n29554 87457\n49109 64252\n72161 98187\n51938 93995\n2819 18393\n34147 72593\n42800 59434\n14465 77736\n41542 45683\n9547 43452\n46134 95344\n78083 89244\n47760 85276\n50563 76960\n2114 56884\n74707 92206\n33635 65804\n75755 87803\n38954 68146\n53749 82873\n1597 7040\n6620 29084\n28013 39598\n44511 70515\n32906 99352\n31147 62330\n3689 34165\n9436 33188\n21157 49854\n3700 79761\n10787 35032\n17828 47866\n39429 70976\n62638 66508\n37666 58563\n35617 48739\n67020 74263\n20072 50869\n36406 64981\n10352 55748\n14459 23051\n27532 45860\n17770 20358\n34436 71679\n13755 84862\n61985 80412\n43554 70539\n14506 14624\n64505 97151\n12115 19676\n10365 35114\n9924 99555\n43710 62738\n77244 80396\n45633 67593\n5971 51375\n43150 97264\n7324 95284\n28827 62562\n517 8831\n17588 45784\n49986 95990\n67732 97991\n70796 87922\n28487 51139\n62746 64484\n1668 76893\n57308 59325\n89537 96682\n31278 40982\n72628 81475\n1346 2005\n33830 66999\n42196 79802\n9374 87169\n19404 74412\n3965 83786\n29099 41399\n37949 70753\n71340 79948\n15556 68687\n17475 92417\n39981 52888\n60477 86033\n71745 75069\n62332 64207\n5983 90060\n224 92077\n2486 47285\n13995 32186\n39651 86325\n63733 70544\n27898 46611\n88020 90302\n48384 63620\n48254 56235\n53932 56125\n56835 59168\n44381 87742\n32150 75471\n8912 53828\n61553 91980\n51360 82103\n27423 67141\n16307 58920\n3391 19276\n72468 97046\n36171 94596\n8617 78058\n7054 52898\n38463 83853\n18117 69702\n41373 91017\n2976 54527\n52942 97185\n41036 59839\n22773 38282\n4464 21581\n30093 82263\n26116 68841\n64422 79774\n6006 90275\n6231 67246\n70566 95561\n10766 64775\n77824 92159\n77837 94235\n8215 24708\n49628 88580\n26713 75471\n8966 61364\n2346 64075\n55607 94608\n28485 47768\n83333 89596\n7373 21481\n9085 85929\n67983 80103\n29699 60266\n25879 55821\n43521 56558\n67813 80815\n9158 89215\n65068 85129\n15711 25917\n33130 55673\n89799 93245\n15350 52164\n14953 55212\n8998 53042\n27455 80673\n21660 86315\n56056 70311\n65670 89911\n3033 5206\n2291 60870\n21178 91251\n46046 86406\n64006 68077\n30719 54408\n14136 31277\n28092 71405\n45166 57448\n19516 40295\n32948 35365\n30243 99851\n67549 67791\n19488 81193\n38051 62930\n26360 61062\n6346 25213\n11528 82380\n741 22610\n25198 92192\n10247 40271\n13417 35654\n51716 54839\n15009 19352\n6464 42692\n5027 75598\n88794 90005\n39844 41120\n9551 82475\n8497 92161\n32577 59640\n47321 84280\n6055 6909\n21537 45023\n18290 32849\n33393 52433\n2867 56870\n59929 86158\n68871 72090\n1923 95899\n2973 4690\n25217 71216\n51529 77196\n29635 83405\n35361 52749\n6105 38993\n42283 97227\n18377 69150\n25044 87317\n70595 80106\n13698 22258\n13162 33430\n26510 44751\n42814 50017\n33568 71646\n25686 30447\n52992 55472\n12665 41196\n7963 61543\n76524 96630\n19012 63179\n30097 75029\n26767 33993\n84927 88318\n33279 93413\n35995 81618\n32282 80839\n9694 97598\n908 37929\n81 69711\n11945 47162\n33872 63022\n20051 60364\n76493 92096\n1858 39580\n13084 99303\n31683 89076\n47666 88555\n812 73094\n78664 93483\n51532 73866\n56041 92306\n33590 95669\n3624 33039\n7247 98534\n29451 82373\n54514 74882\n20457 59280\n16707 74031\n3419 82376\n17792 56274\n4771 53027\n18901 70945\n38538 75452\n14752 53175\n23032 31581\n35796 99833\n67028 77321\n11759 17026\n24504 43033\n30048 37592\n55528 91359\n52076 57436\n28749 55239\n209 13785\n1356 7760\n24390 52731\n48487 64482\n27012 35340\n62586 90887\n27580 46440\n42407 60630\n59333 79637\n18045 40311\n10906 64098\n26822 95166\n24 81517\n73660 95460\n20822 65353\n51004 80408\n40608 68057\n15776 63063\n71287 94782\n14253 41496\n29069 48582\n50868 85303\n9983 83422\n55032 77825\n3139 27406\n56139 89343\n14842 93914\n16297 66816\n37904 62413\n80328 81873\n71455 89128\n37900 73500\n30008 44134\n62617 66987\n45366 90451\n43596 94399\n13702 76475\n41407 58189\n79694 87023\n30368 77989\n57198 89358\n18138 75203\n56417 83922\n13036 91602\n7055 81302\n48166 82928\n5693 25393\n14201 62605\n36057 77867\n20173 42816\n9541 10314\n22414 27972\n13863 52179\n27529 28449\n10940 12635\n87473 92979\n7081 84835\n5881 61243\n48567 53335\n8426 22409\n17587 17849\n29956 50277\n31424 94654\n5033 70378\n78672 89534\n69848 80856\n37835 84342\n15668 88287\n12978 50530\n24185 34579\n53399 69907\n5382 84416\n29036 92999\n23203 69616\n3528 4192\n36637 55732\n8811 34984\n45955 78933\n51993 76654\n18961 70088\n48070 63478\n66196 68182\n20447 51531\n1901 57936\n17786 89982\n33469 66733\n20701 56363\n3700 72035\n5465 37651\n11018 83296\n12103 42031\n9221 19615\n32978 64760\n4528 78240\n38861 82170\n16186 64066\n85909 94709\n57992 97984\n20074 86847\n538 11015\n66570 83280\n35114 90040\n3172 89239\n57212 66920\n35986 56297\n18776 47499\n4429 97073\n42868 75538\n49186 98131\n3969 11936\n19102 94550\n70154 82424\n24704 69073\n25906 33261\n50015 57859\n922 46827\n30865 71339\n6294 20009\n4026 41800\n23169 55430\n14078 69092\n30507 30923\n73191 86312\n6266 77009\n29786 66799\n18702 50954\n22780 51695\n5650 13108\n34935 97387\n26637 82897\n51614 65050\n17646 83343\n25029 71831\n4412 40884\n47674 94002\n4325 32847\n28611 71341\n4599 37065\n2930 37882\n64677 81218\n38015 84559\n59320 85244\n34710 42586\n71495 81284\n33464 56241\n37939 40529\n50145 99662\n1149 56870\n7784 69038\n35992 79178\n23765 97884\n10451 30915\n72615 77074\n18855 86131\n36179 80544\n29225 30122\n27068 73585\n24516 61689\n44714 88544\n22255 58108\n23375 94835\n37171 70956\n28399 70034\n30502 59891\n44733 94934\n13554 28737\n8686 13313\n4213 33616\n39598 82786\n41040 51485\n85747 98892\n16330 91495\n29137 31268\n52962 73960\n1972 39358\n74698 77937\n72267 84662\n35382 56915\n43698 92084\n36894 60773\n804 61354\n29451 84669\n18991 97463\n55973 76535\n65013 70288\n44084 78877\n37019 43169\n26884 37507\n19328 53234\n27388 30835\n29659 32806\n52658 66582\n17716 76855\n13054 92111\n41162 62279\n59082 96228\n10107 66453\n16607 65050\n31504 32654\n32757 94594\n24641 80107\n9519 96807\n11531 94225\n6274 50655\n45855 76345\n81106 83136\n69607 97905\n78439 86213\n34138 89435\n5055 32152\n63593 88657\n63728 83542\n54526 74673\n44789 59480\n65135 87514\n18088 78309\n13153 32026\n30182 73921\n37894 47770\n47984 73325\n20736 97295\n36785 99650\n60361 76924\n46174 55910\n2545 46458\n13022 56165\n82417 83478\n1416 82560\n51215 70094\n1313 21688\n44773 82422\n41286 75869\n22845 83999\n25176 31380\n84658 88256\n48366 74284\n16874 76259\n51660 75724\n10588 43771\n44601 52710\n16130 60678\n27386 98309\n88132 90685\n60735 83257\n30933 56825\n62453 81392\n44011 76474\n18414 81588\n98177 98587\n2386 27875\n74255 86377\n14308 26370\n6521 70040\n37195 93901\n44473 79208\n45668 66667\n52157 54158\n9277 73369\n4668 89621\n22983 51849\n7680 34860\n17611 50504\n61165 94299\n9854 16021\n67391 89344\n62760 77883\n84413 91377\n33623 85261\n81844 83242\n57712 77626\n43147 97316\n18630 59654\n16029 84029\n482 98050\n35137 35139\n26197 84295\n15032 81371\n76710 82300\n40684 72814\n946 40992\n53810 74250\n46543 91164\n13791 46164\n35070 49548\n40612 93722\n49677 80810\n63748 72584\n42574 45060\n14995 79513\n29122 41027\n38195 58117\n63464 77862\n6433 92000\n4204 65880\n10624 42742\n8359 86239\n86002 87250\n50865 78387\n28614 37087\n42224 91197\n58057 73005\n85582 98794\n26274 38143\n6146 52635\n37828 70899\n42143 60548\n43624 77594\n30238 63016\n12494 98151\n1153 43264\n42456 99108\n2599 82398\n35139 91915\n4964 12948\n75987 84448\n27424 50097\n2341 52484\n78427 93933\n26000 90254\n22591 52167\n39840 69341\n59016 86101\n37064 58611\n33411 80070\n25744 36653\n41150 65319\n26889 96215\n59339 85968\n14282 91460\n75408 76454\n29011 60193\n90877 95932\n31019 82400\n23324 52584\n10992 11901\n47942 86959\n13019 16193\n18495 36592\n15133 58497\n81386 84008\n44873 59599\n7170 65095\n4329 6197\n82432 88269\n1371 9474\n20143 89741\n8893 97059\n88275 96358\n57445 95318\n73130 73655\n50862 78523\n6287 53096\n38103 57043\n13771 69530\n14691 53114\n22908 23848\n58099 76655\n69135 96244\n59076 70111\n49944 70628\n44775 53368\n41500 94560\n20084 48487\n5512 37444\n45437 63171\n70075 88215\n53510 90233\n26594 72782\n16714 17434\n6585 13401\n44197 92994\n32184 44894\n33312 89083\n49052 84996\n2749 12430\n21261 57927\n53022 75595\n36362 91388\n25271 52123\n32023 85092\n20585 80032\n48723 88058\n563 97319\n93211 97444\n3279 63105\n57612 61756\n94259 97827\n30494 72312\n83971 95145\n17085 63781\n3602 70117\n52753 60838\n80661 95989\n47717 79425\n23320 50163\n18595 73450\n52243 93714\n12577 49312\n4425 94241\n9631 62235\n25708 26197\n30659 32838\n72952 77173\n12067 78468\n4982 55254\n7471 13378\n63816 83333\n2824 60199\n22269 55959\n14716 22686\n77983 78937\n61580 90548\n25878 39204\n41378 91061\n19416 84255\n53466 78762\n41678 92811\n1206 11268\n72914 96330\n20171 48266\n74119 96791\n29165 63833\n5691 43521\n69167 91714\n40566 55004\n51023 99807\n59625 90945\n56032 74800\n20328 74104\n14809 15792\n49657 87399\n73201 81074\n38145 90017\n54774 65557\n20860 81254\n16664 68428\n5499 42682\n10017 69570\n14312 74567\n20513 71492\n21420 66647\n68591 77374\n62964 78353\n40328 87566\n23075 57776\n40285 87024\n47544 62591\n4572 79530\n34981 46564\n75417 97501\n16712 21798\n31558 54106\n9721 23727\n5747 57388\n9031 82031\n2148 79903\n41862 91121\n17694 73481\n11612 21395\n32678 88483\n6464 97133\n48978 59305\n20300 48638\n24188 86412\n37442 82567\n35353 41883\n76654 98124\n31760 45711\n39962 65706\n8269 81226\n42084 86071\n88751 90775\n30481 80949\n19114 34023\n10406 85303\n18601 29894\n35388 83692\n157 11024\n16949 42773\n69422 70292\n5327 70898\n30443 57579\n9626 94159\n52837 90969\n63859 74243\n19914 62159\n52682 99093\n13304 25364\n5543 97456\n86025 91630\n47249 66621\n8630 67354\n54105 55821\n56372 99350\n12558 94448\n1595 88689\n10450 53349\n18787 83096\n44529 64549\n17996 73744\n66024 96994\n25260 99178\n15914 82315\n33461 92582\n13640 74613\n15916 55716\n18124 40737\n15147 36579\n15996 54478\n15125 40677\n78961 84285\n14757 39247\n60254 98616\n33656 62250\n66976 70408\n51160 83703\n64380 68182\n12464 57059\n27518 46863\n54522 90628\n5196 94897\n47089 80956\n18248 82862\n5703 73273\n14578 44493\n51464 63402\n31319 74174\n60629 81581\n46372 62651\n6985 28120\n15709 68125\n47112 99825\n36260 80062\n12496 26288\n40028 40477\n42944 88711\n8022 23593\n41612 78444\n30043 87426\n3717 82972\n30828 93428\n9464 10446\n45327 81562\n29448 83266\n11301 41770\n29690 52687\n517 83424\n523 53259\n59364 98077\n77590 97706\n22196 61881\n13474 63681\n31956 99298\n29131 39789\n74381 94163\n5473 68795\n35591 82248\n34484 95552\n18252 45627\n43182 50459\n28705 29187\n33396 40317\n76194 90144\n32970 75963\n5562 91828\n41148 87589\n10837 48205\n45789 78078\n21050 73422\n35598 97194\n3162 70461\n86802 97152\n74814 81664\n6942 56570\n44662 89975\n64668 87051\n40131 83192\n39353 81065\n83265 87704\n1111 78113\n64270 86106\n71333 89360\n33689 63563\n10857 31797\n53510 67332\n24860 59512\n14991 72055\n11940 97049\n67807 79766\n33602 38344\n27505 42874\n9892 34346\n16311 52367\n62653 72591\n42952 52806\n25374 34262\n80930 88032\n51662 79700\n63042 72922\n16695 43748\n7732 99498\n74960 79997\n3660 84604\n41548 98390\n23415 34011\n38725 73166\n33145 46984\n1890 76415\n9056 47402\n2866 12441\n74711 79416\n24529 43632\n70899 72745\n42723 98220\n819 67719\n20267 77069\n29048 80480\n4832 81343\n24012 70587\n14506 98173\n8157 78653\n43769 98731\n67397 74816\n38611 49617\n55730 58007\n44434 95187\n28440 29502\n82473 90616\n50763 91432\n10768 30966\n17160 53110\n11470 23151\n18186 44087\n54565 98562\n87739 96573\n75234 95010\n32205 83838\n17045 49376\n27531 93809\n54090 98994\n31700 45810\n10015 91417\n42403 79874\n24230 95127\n35126 74077\n4703 50451\n17555 40089\n81744 93625\n48773 68301\n17267 22063\n5228 25167\n51694 71533\n4985 29832\n27186 38707\n37664 92690\n46329 81655\n5055 79276\n7278 54345\n14393 59758\n68827 97040\n28061 46509\n19000 93216\n33094 69835\n1618 73229\n39263 59786\n80319 80942\n45605 60328\n75173 80995\n4662 68983\n21428 42174\n10104 24915\n38600 62227\n12596 77459\n28813 76192\n39870 84849\n18379 35252\n34013 71809\n15867 88137\n54914 72999\n30866 45654\n48884 90877\n32584 88964\n45053 52818\n8848 79051\n20203 38303\n24009 85749\n68131 69785\n48018 51353\n6424 28979\n58233 80887\n53804 66876\n35554 84101\n66901 76075\n69572 89759\n48855 84528\n52648 89859\n18988 38260\n23390 25815\n2923 45940\n44742 78601\n3472 29309\n9920 31345\n57675 77055\n43246 89496\n6867 48994\n73313 85287\n35880 77225\n1892 88807\n41170 62434\n53374 76430\n29093 69877\n11618 21542\n24661 35922\n26804 79941\n65261 76325\n93110 98464\n39125 46742\n25016 96797\n1736 35338\n12331 19393\n38547 90691\n62958 92242\n49997 50179\n55185 67794\n67948 73607\n2119 84311\n25450 63409\n2095 40766\n18851 93960\n46766 90824\n20954 36244\n46525 91976\n60882 95691\n64129 80931\n4360 58947\n61750 72288\n88695 99635\n722 29582\n7310 84987\n35885 47476\n35902 52235\n11222 62178\n16314 74180\n14481 30067\n69503 69809\n24297 68865\n57222 72843\n19819 35931\n27389 36290\n51616 52276\n25687 29371\n19996 48661\n2934 65494\n40464 46445\n32415 91929\n21973 89137\n48176 82455\n4207 19393\n30065 54795\n12222 47325\n11747 58923\n5755 12913\n11152 90365\n3060 24242\n71858 78398\n3169 72221\n65499 90277\n24405 82736\n10429 44661\n28677 39052\n23052 76746\n81785 89951\n31037 68724\n9236 28798\n67003 86005\n64835 93349\n26981 78926\n7809 35565\n7318 22535\n11046 31865\n24299 29327\n47648 72741\n38791 65925\n27691 68485\n66077 79963\n27481 72142\n58595 98634\n33099 70527\n15003 85469\n97617 98785\n19848 84650\n10118 95805\n51350 98100\n21660 32036\n23611 28060\n13508 54069\n44864 74166\n8120 23588\n8459 94152\n8948 78296\n53389 72108\n41067 83117\n44141 82057\n62530 82642\n26077 95013\n29403 85523\n35838 37742\n56103 73438\n83144 93262\n44296 82471\n39707 96803\n53007 84088\n19900 84378\n79155 92020\n63926 67337\n7424 26950\n35616 47081\n53018 89725\n25620 33264\n38640 43297\n57537 91035\n48783 92410\n11498 39611\n14154 58046\n18518 73745\n58139 76808\n26268 39473\n11232 80470\n43733 80580\n75 29316\n20071 45872\n5470 32910\n35499 69348\n17143 57233\n14604 67554\n10692 89728\n20479 69412\n25738 29807\n30886 81955\n636 25079\n19124 36899\n47276 65878\n1794 93770\n42024 49392\n13418 65902\n7220 15235\n5676 85780\n33717 35045\n83536 97845\n19701 70002\n41402 77004\n23513 51046\n39796 43032\n23621 40211\n33194 50488\n68239 78089\n42356 61660\n3886 97448\n43578 65637\n63194 96620\n267 34268\n20277 84747\n22584 72630\n41137 50839\n44940 98792\n37004 77977\n12891 78761\n20107 61459\n23023 71666\n68487 78763\n52833 59708\n11092 14348\n12686 19324\n7492 27478\n63974 91064\n94346 98815\n55349 59175\n16734 46214\n12293 72916\n28202 67801\n13145 20351\n5246 97762\n61400 63298\n62238 67863\n66035 83891\n51123 88584\n52743 55992\n10415 26429\n84485 89562\n14330 34904\n51944 92620\n1232 97452\n25618 67737\n7092 79770\n66587 69107\n14148 84324\n16176 88491\n55674 89505\n65037 95289\n10253 84115\n21553 75209\n27569 52228\n20482 58400\n32922 73036\n33665 79839\n29333 85962\n35158 45440\n28701 71393\n77215 94094\n50903 79775\n26839 28880\n80092 90472\n10922 11615\n56262 92492\n75723 78187\n17954 28702\n51277 70899\n22604 86184\n34427 92271\n56785 76986\n17584 95162\n25599 37546\n15544 45574\n72117 91421\n27015 48019\n45941 82025\n19908 24847\n5191 71953\n18547 37670\n9290 82814\n5905 53709\n36291 96909\n11704 52147\n28750 97465\n47970 59462\n35055 76090\n14937 66185\n19512 48375\n22764 43605\n35549 62496\n6813 47011\n3841 10476\n37721 69067\n10027 77124\n43731 97363\n50073 80620\n31299 57848\n23262 58599\n21339 64323\n18690 25081\n47402 54901\n21822 29010\n34896 71654\n32829 34287\n54462 69687\n10708 29587\n724 99110\n63368 71836\n65401 94454\n9888 54550\n28524 91303\n20481 95512\n39810 74536\n17486 26358\n84811 93236\n26202 67795\n39977 71866\n23888 90828\n24617 87535\n35630 82809\n25858 30805\n24361 87678\n50217 62763\n22075 77971\n9164 37705\n16265 65029\n82082 92007\n53147 91207\n37810 83659\n6516 12805\n75585 75994\n74228 89427\n22472 65562\n20377 41595\n67620 84067\n47345 71331\n88900 98123\n44471 80584\n32645 35048\n21146 35852\n6845 54681\n12540 95931\n14048 37175\n14973 26851\n78767 87814\n10945 79158\n71868 86008\n8408 84653\n22661 30217\n15898 78493\n55120 65840\n93933 94453\n33036 79795\n37403 62030\n71229 72986\n29750 88274\n60137 94965\n65330 90053\n2757 64137\n9941 96399\n24219 47803\n26993 99041\n21210 59114\n65794 98664\n29957 31157\n56320 61760\n20797 71573\n9803 14622\n13673 56851\n27999 75053\n4532 84377\n1053 17005\n13974 75279\n60554 92863\n49616 52679\n14930 54702\n6612 92134\n40004 50955\n3586 24493\n56680 91688\n88431 97933\n32552 58415\n63883 76315\n22380 61784\n42586 44246\n6548 13337\n1894 15197\n37097 42840\n56289 98750\n48716 79668\n14297 71646\n778 20782\n48921 91315\n26858 55734\n75398 87231\n4242 47697\n48167 59520\n4450 80424\n21451 51629\n9050 48583\n12162 74633\n21002 65212\n48895 58232\n7421 48168\n41962 98339\n16318 36736\n15634 93991\n46900 99881\n50871 87640\n14773 38321\n18825 78738\n73326 87888\n40538 90212\n39055 53252\n72688 83157\n16250 64260\n18496 59028\n17930 92449\n67465 88397\n2380 82324\n8808 69531\n45228 71513\n74555 88706\n10426 25298\n9341 81260\n33347 85217\n22479 50673\n19796 47989\n66563 70178\n6943 13215\n1535 11907\n13322 95776\n11996 95045\n33776 81475\n25491 75971\n44215 96254\n37098 44693\n45987 49842\n13964 86047\n691 30735\n46217 74782\n54224 82050\n77677 81653\n33337 90752\n54883 60789\n19258 84122\n10853 63872\n31258 91817\n946 7422\n63495 92110\n26313 76097\n40028 42477\n6573 7675\n80864 94850\n28472 74431\n68952 80942\n30226 54374\n5109 83127\n4667 25893\n65407 97703\n40749 43582\n27528 63392\n2760 97002\n63602 81545\n45475 96744\n57937 92970\n53056 98057\n19797 52867\n67897 89143\n85403 91850\n23033 85124\n71119 84972\n32486 96418\n57526 68464\n5345 56480\n8482 94574\n76376 77866\n43293 89261\n73667 94725\n28847 34150\n27334 99456\n12028 33100\n13465 81424\n72786 81338\n42424 96501\n686 44504\n608 14760\n39206 57066\n58846 88769\n34038 69780\n18684 77432\n4029 54782\n28433 71963\n45284 69593\n12433 56903\n65091 65451\n9941 91738\n17566 87756\n15016 58827\n49978 54946\n20185 90494\n37416 77425\n72508 82697\n8208 51263\n35483 71389\n65069 76401\n12198 55056\n59657 95128\n49368 52694\n84069 94250\n57386 84583\n17825 83413\n84611 95923\n58066 75954\n4758 82654\n28903 80206\n6465 21246\n22657 55569\n16243 26626\n29231 63045\n5281 12128\n52944 97523\n77752 89665\n32824 93572\n111 6299\n37356 48515\n31289 37681\n4101 50176\n11562 59974\n15039 29988\n37669 58624\n73362 80673\n17466 64963\n42609 43064\n14629 29416\n24509 99557\n32383 76797\n33662 83765\n19224 52938\n75080 95253\n42462 86225\n8574 46098\n45400 57134\n49273 72497\n68852 76395\n16466 88594\n42010 95600\n727 21352\n27277 97360\n27250 95123\n33624 57366\n43518 83210\n3388 56919\n6593 24809\n40922 84887\n69846 77676\n49875 93581\n3504 21718\n45888 98558\n7676 46189\n688 54001\n4209 96383\n27548 35967\n31076 32833\n27632 57547\n64891 86795\n53315 72722\n7717 56231\n57687 71400\n11198 75032\n10509 74519\n19773 40850\n32576 34650\n46044 79886\n69652 71706\n15588 97408\n28459 92024\n21458 31305\n2937 24706\n10337 93505\n26726 58249\n35269 92561\n27385 90230\n470 82149\n12728 25016\n23390 77589\n65774 92956\n10435 21003\n12856 48161\n6576 43990\n53190 68013\n16041 96768\n16121 99252\n53129 61629\n2669 22737\n3295 7281\n32410 89386\n28266 91897\n61532 61561\n34401 57957\n45838 97234\n1360 70718\n45487 84116\n36695 64034\n70240 92111\n22160 72598\n70880 91406\n43750 77556\n15751 94003\n24844 52306\n2064 94131\n73047 88318\n38408 88618\n22257 43258\n10255 19414\n32723 61083\n16354 53371\n36824 58513\n6863 61387\n80788 80855\n8506 27301\n21380 52913\n35521 96596\n36460 61612\n2053 67816\n51186 76688\n73797 93524\n42537 80744\n32885 46444\n74292 75751\n37329 47158\n60233 73908\n70475 78945\n41348 93094\n24301 63061\n84 6013\n43883 69684\n7772 53269\n3285 27446\n18257 63043\n9438 96490\n7763 78876\n42250 60738\n15730 17544\n22870 36878\n84064 92754\n23084 48830\n16743 27095\n10299 93793\n1832 2086\n74468 99828\n3735 45134\n25447 89834\n81054 83913\n84 49287\n38333 98023\n27864 61869\n33615 34659\n8483 19261\n22854 56547\n15500 73852\n11708 73634\n12359 24725\n19162 71052\n22822 64266\n12946 19000\n47056 86297\n10640 27683\n41696 96953\n52100 74759\n9477 48024\n4023 28149\n15874 94401\n67725 84975\n10369 60191\n14298 75290\n11477 70862\n34075 47693\n39808 42412\n33558 76286\n41286 52313\n42619 47545\n13357 48373\n78811 89029\n71531 77199\n29699 81558\n95464 98141\n16994 31815\n82325 84247\n28573 96942\n52857 93156\n49892 60162\n3780 55164\n7611 94703\n5270 39858\n16857 97015\n32371 74444\n44939 46590\n62985 65757\n2300 57918\n22098 76198\n4512 82373\n67335 91839\n85190 97527\n25645 33003\n1994 90429\n3123 96205\n94741 94992\n32299 73372\n34929 66662\n87127 98134\n32451 56395\n67187 98521\n54503 64776\n48144 52415\n5767 15873\n42876 45683\n30661 45902\n16548 55007\n34034 40364\n26141 72536\n43005 93926\n10605 76569\n9655 78627\n52897 89535\n7434 54209\n42104 76784\n27832 83330\n52593 55922\n13375 92673\n40161 99333\n35526 76115\n21001 65439\n62244 90438\n41906 57970\n5204 11960\n28775 31774\n33273 93146\n15003 54556\n30811 32374\n61049 62468\n25557 40565\n56180 58963\n42408 90600\n56328 95796\n11374 67868\n36018 96229\n41693 67337\n21949 36203\n24703 93255\n77519 96206\n8178 82417\n78327 97769\n26751 45382\n11991 15242\n32312 92895\n48796 72903\n70760 90379\n27307 44141\n35481 73719\n3524 61525\n32222 48361\n17184 42782\n72555 74217\n15022 62412\n49996 97110\n21228 32028\n17423 79478\n5553 76114\n45969 48318\n22036 25176\n30259 69735\n23376 57530\n55872 60506\n43287 69388\n63127 84470\n10224 38632\n199 78226\n33173 56116\n24523 61065\n48019 99357\n20750 69303\n20549 79888\n60599 85014\n24577 41575\n8278 51110\n4760 93308\n20618 86499\n14586 91627\n44108 48164\n31070 57284\n68434 83022\n13412 52796\n54474 79602\n21332 54454\n48291 60628\n41318 99186\n16294 68829\n21375 34101\n10339 35875\n19508 88194\n10794 44762\n44275 91018\n19574 30852\n3632 45638\n39756 56136\n51586 73371\n4403 74471\n62518 67547\n40501 98211\n23548 61741\n31096 34444\n38580 84182\n20529 79944\n2986 79993\n54073 97353\n48673 93514\n20219 56585\n30310 44471\n2822 49853\n9697 36797\n66396 85334\n19112 84515\n16386 17476\n24694 40612\n31116 71752\n70298 77481\n55524 95895\n29254 93167\n52052 66319\n6552 86315\n10118 90304\n9687 42011\n80809 93512\n20995 78062\n45234 98155\n11224 23776\n82895 92187\n3899 10916\n259 20978\n62079 70121\n74384 94380\n43023 90267\n11222 75180\n9888 77013\n62203 75154\n64024 78666\n7510 97030\n24948 73101\n27610 31449\n52532 65926\n62718 77495\n6959 16073\n33171 34744\n49629 64380\n3275 29545\n7626 62247\n48979 58148\n42326 74234\n60705 66702\n39770 50889\n4206 82754\n32941 49044\n48789 77833\n48689 65958\n13502 76376\n28762 77569\n47304 54087\n12045 39603\n13078 86418\n33582 59224\n72556 97000\n41504 73514\n1950 65350\n79657 85265\n62315 65578\n43278 80790\n5013 43840\n74496 76417\n60721 74078\n21430 29517\n51851 94664\n24381 41386\n54079 92797\n6175 30421\n44281 75070\n51911 71246\n22629 27688\n30397 54603\n50274 60554\n2708 67706\n90964 97350\n5444 17935\n5861 49700\n5382 26626\n76879 91304\n77371 94307\n2181 63355\n43218 53752\n10766 43701\n5786 35731\n40101 72263\n27863 99958\n48136 80910\n59071 94664\n37076 38954\n5049 84819\n10002 19049\n51043 97953\n12173 97689\n16243 62809\n45171 46278\n29972 46750\n56240 85995\n9408 81217\n31377 61267\n26255 26850\n14630 82426\n49263 77511\n28732 93729\n28805 65821\n15719 89647\n53602 83098\n15213 51571\n20864 99579\n4270 20180\n955 83825\n34682 69749\n34433 66940\n25158 50274\n6494 34159\n88460 92334\n13151 75253\n65024 95797\n569 34001\n5763 62663\n58149 67543\n46434 87062\n12921 29020\n65403 87992\n28205 61318\n23456 84873\n29524 51999\n31383 75464\n83106 95224\n52154 67382\n10433 54963\n22596 79411\n39127 83338\n31618 62780\n33169 69698\n26655 59677\n20957 78298\n1833 79348\n82328 89118\n39018 56007\n25292 71449\n21752 97386\n23608 43794\n51945 62317\n67271 70280\n20516 65410\n22122 62327\n15427 29000\n47613 82144\n24996 74712\n79302 91358\n9877 35597\n17638 82909\n69407 96004\n13492 35466\n14835 31494\n49149 94384\n15167 81444\n32016 57077\n12489 99255\n43045 72483\n18189 44773\n53355 94215\n16551 76354\n32143 37078\n42843 76071\n4912 42974\n16004 51483\n4528 34005\n12926 79104\n15215 76015\n7710 73633\n21485 70904\n66065 80334\n1994 11139\n92573 94716\n26476 88532\n3090 53923\n13370 27883\n72742 80290\n33905 84941\n32598 94461\n54848 77590\n18165 68705\n26095 46416\n68458 93716\n75357 77356\n6444 9177\n82231 98571\n27405 43634\n67880 72447\n8406 94293\n28977 68726\n17147 79839\n28511 33343\n19026 40228\n62394 82422\n50585 64383\n66613 99632\n74135 79148\n25612 66413\n25792 41397\n26458 92821\n79193 96317\n9642 86710\n45164 66639\n47205 47270\n58879 86212\n19533 65303\n32770 51469\n19150 91119\n5930 30121\n22246 88735\n19708 96359\n16070 54587\n36442 45846\n40505 47812\n31176 52284\n26612 42316\n9884 70956\n43003 82943\n6963 60795\n14344 79146\n25296 25547\n75953 98392\n5831 19721\n84482 87179\n9358 59250\n51953 88436\n12473 66255\n2430 86076\n1107 95926\n21128 36369\n20128 61121\n74336 76037\n8084 90528\n48926 81991\n63944 99921\n59988 89675\n10367 95281\n35758 35892\n14280 40027\n61862 70109\n10778 53345\n20257 97722\n28324 92855\n86518 99002\n65810 93204\n84582 84619\n51199 86698\n60144 87654\n27108 52069\n44803 46947\n547 67065\n64949 95424\n64114 91726\n77531 87599\n55353 72440\n28109 32442\n27380 58093\n24705 74068\n43637 84550\n14194 97636\n92002 92564\n93816 96113\n21374 29151\n8281 83071\n82656 89892\n21845 89727\n61879 83971\n2002 91128\n15929 21267\n22104 76750\n42790 78566\n83544 97415\n50986 69857\n7615 21959\n24821 68420\n5832 39771\n42805 58443\n21301 44643\n42145 61392\n22976 91948\n49498 87906\n18523 35856\n1360 62979\n43433 71664\n45224 98350\n9868 51980\n15030 41452\n25916 85916\n17876 70346\n12474 84688\n13259 21793\n26272 40484\n35934 52920\n64564 84041\n28933 49269\n12969 35061\n13453 19454\n40113 93074\n19128 65043\n45046 74900\n15463 56522\n54678 59608\n54256 96220\n39272 69879\n57477 84143\n31970 80563\n40937 57761\n45004 57990\n40594 43220\n68113 98935\n12409 85660\n77041 87442\n56985 96716\n23967 51839\n47562 52748\n60693 98841\n41354 74617\n14777 62434\n62074 77750\n78 86187\n11938 15080\n16597 42677\n14284 51926\n75157 93832\n4016 58720\n51814 56013\n33066 74024\n36680 63259\n81034 91904\n82868 96127\n9652 51561\n68673 93022\n20461 56298\n29768 44635\n8307 50192\n4760 40210\n27172 32755\n48487 58549\n21774 58150\n4009 4644\n62830 74803\n1306 90691\n7802 53971\n32913 85181\n31668 96970\n19551 74443\n3282 70626\n56859 97558\n59557 87848\n3119 28525\n17277 44440\n7835 49829\n87608 88936\n47319 71333\n39033 88582\n4848 16232\n64265 70465\n11356 79705\n74675 76013\n39847 87696\n73654 94571\n2626 80817\n76 41418\n26148 82546\n47286 69134\n55530 82610\n8510 71524\n36793 68261\n10996 80238\n7799 99862\n22136 59463\n2238 95841\n46201 76485\n52742 74703\n6231 68221\n15996 42081\n20130 43082\n76854 93371\n72099 73442\n76360 84651\n35107 56786\n32089 67409\n69724 80001\n71853 73384\n25072 42266\n59030 90743\n69366 96203\n38038 85022\n76384 85979\n10668 92825\n1118 82858\n17479 34378\n27085 60510\n33027 89750\n18964 40683\n6251 93570\n63879 73628\n34131 78225\n12213 38824\n3082 98675\n13650 38395\n59018 99721\n11362 17141\n45892 69715\n62510 95682\n11945 72893\n7198 81247\n12808 54324\n3143 24817\n58388 78341\n20496 21403\n1311 17711\n31464 59049\n7911 33043\n14912 78197\n34187 53333\n25478 89735\n50577 53801\n17679 89250\n267 9327\n28160 46615\n54216 94149\n12358 30361\n370 12440\n42853 60246\n15746 60236\n18622 28689\n3049 94375\n70585 82733\n32090 55716\n24551 83904\n66150 79739\n56030 67529\n34062 49719\n494 4230\n34143 80615\n44724 58817\n58677 64634\n7830 35176\n28838 95733\n2860 26161\n17065 88829\n44592 59790\n24461 46369\n2600 59548\n18332 41444\n43747 94670\n46295 50672\n5986 39026\n46032 71120\n34978 72485\n30861 34274\n30729 63278\n69038 96949\n27352 80394\n15843 34637\n46074 84994\n35230 95820\n18351 79738\n11674 67984\n15261 22128\n32752 99068\n43763 62820\n50501 66214\n3241 91460\n16134 70338\n44893 92602\n22956 46625\n30531 33323\n35471 38375\n39997 50069\n26931 73525\n10736 98459\n13122 75454\n10127 41823\n45825 92719\n7608 53784\n36817 61884\n2745 96514\n34720 38329\n13832 98598\n88255 90127\n79394 82280\n44416 68930\n11910 44280\n46345 84177\n17544 44374\n307 91421\n23610 54421\n23830 99200\n17291 54838\n26411 32237\n62552 88473\n5029 80353\n9442 59389\n53644 80901\n28918 44684\n51697 87822\n22462 78067\n52708 54426\n19389 71890\n40728 51855\n6054 23136\n69672 85704\n4103 7933\n26625 43939\n7436 82271\n21750 86629\n62658 62676\n71754 72085\n28201 88501\n20033 90039\n3245 17101\n22875 99679\n50217 97117\n7507 75685\n18711 98841\n13051 30030\n38626 84871\n12510 22806\n7204 99755\n29569 93923\n13589 73051\n38604 66964\n32629 87323\n24460 62662\n38219 56190\n62116 77756\n23470 54165\n44928 49513\n26538 58802\n79775 82932\n17635 25518\n5103 9004\n33381 53207\n40462 96789\n3531 93114\n9755 40052\n83587 93599\n65739 66811\n9902 81130\n68710 84351\n25044 84411\n3478 39134\n26144 40669\n16952 44814\n42971 71754\n22016 58694\n5548 16748\n49204 99423\n2536 94423\n52942 84828\n21167 67471\n17848 67873\n51650 79828\n34589 56322\n47421 53913\n58819 78791\n45932 57123\n10248 77923\n21765 66434\n4682 6413\n26176 76760\n4858 95449\n7008 46753\n9812 89067\n25557 71299\n6715 86447\n37689 99368\n48584 79489\n78727 82586\n46842 94936\n20938 75080\n24427 45318\n70977 97565\n18208 91287\n39952 93176\n31336 42531\n20981 63222\n11659 76338\n15390 42466\n63570 90685\n2084 59583\n63032 85517\n135 27871\n56968 73244\n17131 75841\n43285 80826\n63032 78876\n16853 70166\n33966 89608\n1039 86344\n50944 63209\n44759 48576\n31155 91859\n60046 87981\n13724 23097\n4396 98094\n82026 86040\n22516 34328\n7274 27148\n54085 94282\n56154 87052\n59793 76620\n58780 74256\n67732 76833\n22728 80750\n61770 94496\n5277 16042\n36195 62044\n9933 13707\n56363 65075\n3170 26549\n13151 97763\n14861 44147\n20608 45679\n42099 98511\n20653 27606\n31209 89568\n7982 50716\n15168 95835\n63127 85391\n23607 87546\n5817 99959\n70150 80356\n41095 42999\n11185 43687\n54565 93258\n54770 91255\n5230 88608\n84809 95992\n69740 81506\n23308 44386\n39093 39350\n38001 47777\n14882 63191\n53051 64851\n21208 49680\n65131 76447\n7137 43575\n22619 64084\n16924 99624\n13002 37838\n57270 83985\n56824 69270\n65192 80984\n65493 71817\n32072 81137\n65921 84068\n13761 99349\n5143 48675\n12844 73233\n45894 96556\n5600 67793\n6007 15093\n29514 72396\n18009 95803\n56306 67346\n809 12801\n2978 7750\n13261 45190\n5318 73002\n42862 78732\n77399 93807\n22275 77033\n28711 63783\n70099 97716\n3540 63064\n20621 22172\n36026 59601\n78923 95858\n7187 12960\n34959 58396\n9368 98415\n2625 70866\n77007 90844\n58438 94324\n36661 51950\n32042 54393\n39803 75594\n9959 21997\n55360 95339\n60486 72357\n50185 98445\n2601 16988\n97558 99176\n27186 76948\n15459 82897\n34924 51545\n33003 95019\n12507 35352\n26656 52171\n759 14806\n10298 19641\n11 59464\n55362 97239\n25279 89416\n417 49147\n20889 68029\n40114 85142\n2610 53161\n2084 80252\n4463 90841\n67063 90629\n31989 34614\n63535 77566\n42697 89545\n55460 72955\n65293 67442\n49824 73979\n5300 77526\n74493 82378\n15539 58627\n4148 37398\n7641 23305\n570 57026\n12710 74638\n71741 86062\n45737 86602\n28200 65220\n586 65275\n43232 99043\n43093 59223\n6711 86110\n52639 65454\n8504 40028\n15392 98390\n6676 95086\n21899 23441\n7245 74772\n15034 21668\n22124 24351\n80080 90142\n56466 69044\n29621 80310\n73243 75744\n50002 74008\n24003 35815\n25346 79012\n27731 57384\n42822 47052\n20864 36118\n6671 77724\n45083 93854\n69731 84679\n18142 54044\n1498 10222\n36288 46581\n21206 67092\n50571 66671\n2154 32652\n50281 60063\n42668 65045\n15130 87140\n55776 89086\n6759 60463\n43491 50973\n42391 57055\n33338 84518\n8454 68216\n8159 11993\n29764 64443\n68824 85035\n22666 33704\n90159 91643\n38526 78389\n71570 83211\n43341 96422\n55400 93465\n40697 65012\n41828 89644\n40371 53029\n29809 85079\n70930 94780\n13706 95264\n34903 91036\n2981 26201\n25024 25501\n3607 88014\n71907 98105\n43371 70544\n26199 81526\n67737 93521\n53552 88469\n42709 80403\n9390 36561\n36369 79856\n12917 90007\n18802 80816\n33162 69308\n415 36130\n21742 79188\n62657 74803\n3604 82886\n73205 83299\n7299 47960\n45247 53550\n27751 44083\n41175 59495\n25086 37247\n4385 16482\n16417 67977\n7096 99005\n46318 50745\n11013 68072\n35806 73267\n1774 19186\n46587 95536\n11166 76763\n24804 64088\n12146 29963\n3668 41073\n2699 92624\n11197 79414\n29338 73580\n37010 42744\n17311 65500\n12043 20058\n67329 91284\n17724 33126\n4857 51898\n797 45493\n31775 37369\n11680 95244\n13980 48951\n33823 71562\n71379 89163\n52121 70560\n65924 99697\n25692 90051\n34529 48844\n35634 70829\n32005 59171\n52476 74520\n78700 81042\n10305 59157\n68599 75321\n685 71821\n29046 54063\n22245 50939\n12579 27036\n40558 51814\n16530 43120\n65984 87750\n48714 68406\n23237 71731\n45173 57454\n7244 85468\n94297 97950\n1545 76116\n7018 70635\n15504 44846\n39275 65876\n26711 31793\n27748 69593\n45699 82733\n25667 84635\n20815 72555\n1924 82417\n6233 96456\n8400 89733\n55381 60065\n51368 94314\n37403 88121\n43764 83097\n7349 40411\n23021 77609\n32431 82862\n50490 75060\n5764 60844\n72843 90254\n93122 98424\n45509 55661\n30993 51675\n1036 40914\n45984 96864\n36424 79710\n17895 70844\n28752 76109\n25123 75838\n28312 35571\n31549 35807\n8877 25192\n35879 47050\n81722 85630\n4157 56882\n43308 56315\n25975 52820\n43074 68126\n3816 4297\n2376 88390\n31645 45595\n11145 21662\n53123 60507\n31910 93017\n76404 85818\n6833 21494\n54176 93682\n87798 98632\n80394 96802\n84150 90880\n50999 98224\n51509 66726\n38242 99161\n19775 55838\n11462 46772\n53200 84337\n20468 36221\n26081 51723\n1887 89819\n56346 75673\n70195 79144\n22412 72095\n27038 78852\n62167 90158\n635 94655\n71660 80536\n19634 23337\n21566 35888\n15609 87060\n38647 49407\n60566 88711\n15948 98731\n63082 89270\n42159 61006\n44882 86893\n88013 94370\n69623 86302\n17859 97604\n6501 42001\n6479 41598\n15421 25530\n23461 47979\n36354 45116\n10741 82775\n50253 84366\n23625 40541\n39715 50879\n14047 64275\n60795 90697\n67447 81501\n77649 86967\n39164 72745\n51899 61588\n34559 51181\n36656 40486\n10777 83744\n63315 74935\n18332 37973\n45641 47368\n7317 75489\n24240 61832\n16061 23976\n76168 87392\n5816 92884\n1102 93451\n25854 74811\n13622 95603\n9465 90053\n92270 98248\n16443 46107\n49377 64703\n944 68987\n71576 98983\n44396 85043\n43848 90336\n77508 92920\n20714 23805\n13953 86506\n57244 63378\n6896 10588\n15479 19060\n17159 17802\n23485 49087\n3097 38282\n46711 61008\n22939 82683\n14536 76115\n46919 82768\n14702 30122\n43777 53810\n43135 50533\n30694 96653\n38323 49379\n18310 79181\n24998 36431\n90625 91662\n9436 15020\n26043 88838\n11541 61423\n28722 91011\n49570 62856\n18758 65324\n8310 10972\n28337 77738\n2485 63101\n11042 43869\n6226 16205\n73822 83312\n2273 75070\n49977 89968\n27066 57669\n45384 51817\n14304 54024\n19542 68547\n75428 75534\n45289 86244\n43574 77242\n23345 34516\n22781 72790\n6619 93391\n15257 44114\n16943 37071\n6174 93916\n9652 86229\n10217 36056\n88524 88843\n51054 98607\n45233 82974\n17666 30619\n43239 59127\n5397 79838\n45954 46647\n13467 52998\n59049 69036\n82598 89277\n39134 84409\n58457 71350\n49069 99650\n43056 45788\n51920 95435\n16611 37595\n25918 67841\n49811 83230\n39897 90906\n19093 22242\n58347 95320\n21072 95728\n74409 79183\n3398 89335\n6584 56551\n44260 49833\n35716 35737\n15555 60350\n59500 85524\n3456 80723\n56307 70416\n77494 84553\n14211 61680\n4258 6731\n39958 45257\n19598 78686\n90823 98476\n775 88733\n47432 55393\n14179 92825\n1321 68801\n14840 41737\n6626 75345\n74389 78615\n21830 70478\n13995 67740\n29186 36406\n16452 17362\n48572 77660\n94 62085\n63570 70684\n12791 72728\n3495 73176\n19081 47923\n53775 84693\n61293 70719\n36806 91968\n26612 45431\n18802 48193\n80352 86285\n26183 94739\n54557 74395\n58955 66131\n90753 93636\n58835 87437\n16770 73442\n51244 56314\n46063 69559\n18727 93329\n54519 66988\n2270 56700\n7151 52210\n75070 76205\n44894 84486\n20554 39260\n40637 82364\n71113 91848\n26392 35952\n49563 80830\n44142 47067\n4190 89309\n23688 85064\n26382 55954\n15533 95670\n26006 60342\n2326 15537\n12533 97183\n2623 97158\n9687 91556\n68075 71965\n41546 97365\n6777 88477\n5035 18562\n36550 71742\n4079 94883\n60085 90340\n17499 45098\n6171 92803\n39272 92655\n40830 84700\n83208 91367\n16867 96806\n40393 55053\n32117 74506\n13018 77641\n18745 26201\n42636 97077\n758 29547\n22385 75354\n11857 94103\n50202 56187\n53629 95926\n8615 67801\n1459 45568\n54099 68659\n39054 66835\n46472 90403\n27925 38742\n66621 67226\n2005 51686\n7262 44380\n67959 98355\n16694 47510\n6554 60863\n37462 93784\n12283 43337\n3364 52531\n13268 45307\n9782 63582\n24570 44952\n21407 45313\n31421 59942\n5943 29629\n47082 90940\n6843 86038\n33400 62607\n33524 41849\n69970 74327\n13088 47338\n4097 14717\n1527 30677\n9123 46193\n17323 91450\n438 65010\n2850 57353\n77452 99849\n35207 87215\n55133 61137\n22248 26114\n20828 24652\n49643 69534\n32775 46831\n57843 71957\n63397 93180\n2085 96450\n63479 85531\n4477 78236\n4907 30915\n20019 43824\n18985 29324\n12990 20797\n14842 18870\n19874 60970\n53536 62681\n11787 27040\n29545 42458\n64183 88485\n66708 87751\n6959 63312\n31070 64167\n56136 58855\n43056 51714\n29532 50211\n29907 90977\n7452 69275\n1715 40165\n69174 74431\n28447 89723\n1198 88370\n48387 75468\n25478 29529\n40046 70314\n1586 92431\n104 39684\n30 82730\n82057 82220\n20221 48213\n80488 83592\n26423 73843\n61807 62262\n79222 85978\n779 77563\n20535 90040\n10578 96970\n31328 69463\n493 53801\n41567 95211\n68697 92011\n58650 88068\n24179 85403\n74535 78975\n78353 86788\n45090 88306\n4932 73401\n56415 89786\n11236 44025\n35464 45056\n9656 71311\n35504 51073\n14145 95487\n8255 48130\n5636 44487\n52970 89379\n49140 73374\n48187 81403\n51700 73938\n16874 44024\n14229 39583\n33611 92440\n4104 25445\n35587 64199\n15482 60831\n2259 88292\n22353 76814\n1765 3803\n12671 18739\n16782 83319\n52087 69536\n27913 52146\n63228 89347\n80925 82525\n36150 87118\n87766 96965\n9047 92177\n48229 94362\n35567 67360\n47413 98748\n39273 53818\n10598 65870\n27692 91701\n75251 79123\n27189 84525\n61763 83066\n16773 21042\n6327 30007\n45323 62348\n27088 57226\n20037 63087\n34660 48689\n26421 45462\n6633 61481\n5927 52705\n35532 79803\n21951 84830\n11477 91024\n7306 87104\n21658 81881\n63410 65744\n35283 54311\n63110 78432\n20112 84125\n73763 80636\n29987 48917\n22256 39669\n16762 47833\n995 86853\n83114 84075\n63266 97546\n42130 55825\n14742 74524\n44492 91253\n64715 86893\n34639 89125\n59549 98861\n11671 40717\n94000 94857\n1095 9759\n34596 80331\n42998 71269\n28718 65174\n4329 58646\n41195 73341\n70459 81271\n23795 25557\n9364 15412\n20143 47337\n38223 40946\n8895 65558\n57314 92698\n2983 50029\n2084 18374\n5272 50634\n17904 97974\n10715 31378\n50167 91207\n869 16160\n87369 92082\n38078 86431\n76808 97505\n24292 25327\n4675 10294\n19882 51163\n22159 40753\n37979 93774\n8304 30401\n12306 87492\n7169 60369\n54818 66683\n78275 79131\n30175 79652\n89018 94169\n44258 72229\n40413 62452\n64491 85439\n43423 63458\n41976 66780\n52559 68048\n36355 99728\n50864 89086\n2566 26297\n62433 82785\n22831 81301\n61128 70463\n47177 53195\n25829 99729\n13313 52877\n47901 57469\n28553 70298\n22506 36876\n58357 82821\n8806 65842\n25440 72447\n24043 90474\n23264 56597\n80208 84366\n6065 75205\n4975 35464\n23392 51408\n21075 59879\n19763 88852\n39835 96567\n27217 93558\n44908 63159\n41050 55923\n27897 83248\n32007 81635\n11088 13724\n15036 99592\n1880 79788\n19862 69401\n4387 47219\n52733 98007\n22082 60789\n22253 96645\n59433 80356\n7842 10904\n81486 95942\n74624 92219\n90201 96978\n11383 81949\n3823 50564\n7896 13228\n44567 82050\n22267 42415\n33439 97634\n53107 54887\n56684 93071\n52072 81522\n16463 80055\n20543 26950\n63273 78657\n30353 41987\n62032 70324\n21595 47439\n28299 44110\n28813 75750\n79900 84640\n42279 63487\n10976 52688\n20259 57317\n62489 73318\n7509 27854\n41819 78315\n9015 36258\n42253 69867\n16457 61400\n51752 87945\n57839 89657\n16098 44376\n2839 5710\n14195 41549\n26811 96626\n39179 73970\n10456 84356\n30246 44992\n853 42212\n60556 97347\n17721 91486\n73207 93997\n5657 94644\n74648 86192\n24016 35651\n25055 97313\n27386 46185\n36915 60669\n8305 48268\n57034 75420\n51489 89880\n37302 70238\n6274 24786\n74301 77486\n22975 60995\n2045 57833\n61757 62359\n31516 78869\n56953 92256\n36646 63327\n52288 65534\n7018 74823\n70677 97990\n84537 99932\n5336 74421\n71339 93928\n27094 89619\n63261 66432\n20927 62419\n17303 29969\n26897 87450\n68589 77961\n3391 67220\n21693 85313\n48904 74137\n10930 75779\n41351 62279\n5768 65185\n23747 52509\n81922 84814\n54107 68579\n49332 62975\n49549 85220\n2572 76855\n37613 78158\n8742 24918\n68329 84333\n28453 66828\n6380 77855\n9180 29124\n71444 94976\n22116 57874\n72729 73216\n85802 88017\n63263 63902\n49945 61369\n58102 75924\n68102 91580\n1958 13351\n25910 60951\n72610 84237\n16245 70815\n44144 61933\n16712 83642\n18229 86935\n7560 8453\n36976 81457\n5057 32074\n43511 78022\n15930 72650\n21643 45742\n62734 72232\n16792 74651\n77231 85787\n24421 35496\n70446 79758\n13136 74255\n25767 37131\n21069 58990\n1661 69572\n52842 67582\n6312 30400\n10380 70062\n59061 92807\n18155 91897\n2428 7064\n24040 68485\n65855 73952\n17648 82697\n17494 46378\n27037 55029\n1739 62393\n49114 50948\n40917 97940\n49124 74498\n16314 37280\n54463 93732\n26855 54782\n14013 43239\n80232 87574\n5549 36582\n23545 50760\n10126 91116\n26577 68492\n83391 86304\n24308 24462\n74285 80223\n5723 32244\n62918 90283\n37126 54642\n56739 63315\n36474 93791\n57538 94342\n12790 63432\n11169 19502\n43055 79692\n54079 76946\n26259 35678\n54187 65942\n13683 31827\n33748 81404\n50379 67505\n56396 57975\n9878 86132\n12104 48645\n24926 27855\n10191 95660\n35948 92905\n22546 84397\n16484 55394\n31651 82552\n22747 74448\n25451 51983\n10971 18020\n27698 89593\n15576 63456\n35986 56104\n41274 47446\n71816 81500\n60919 89118\n54002 75550\n8681 91396\n27704 75285\n36369 65702\n39594 51067\n53802 77906\n27592 97350\n49675 52870\n60345 68087\n26747 41062\n63570 66485\n44044 97371\n12474 32499\n29826 40046\n39438 52801\n825 23458\n33475 71907\n88236 94580\n39418 85063\n6781 92735\n26906 56873\n34993 80004\n23111 46979\n25221 60334\n7665 87044\n33760 76513\n8345 99262\n66338 68703\n42496 95390\n16237 79307\n11853 33638\n78689 87239\n22989 56178\n64657 94828\n11797 76277\n1100 18142\n21922 34515\n28106 81152\n93252 93568\n49340 92579\n7093 12450\n1432 27275\n35201 44089\n19617 23169\n49284 87848\n70166 95825\n35763 58429\n57685 64450\n89 49715\n29871 76172\n40168 93517\n43851 84746\n33879 88843\n24516 72194\n9820 43426\n57956 68919\n35591 88824\n42491 66373\n23288 53801\n47693 63011\n8426 54859\n35907 53607\n3840 37126\n30740 41503\n42165 96472\n12495 75413\n51970 54841\n11321 66432\n78662 99106\n11423 89942\n9861 48078\n20846 47158\n35935 55055\n14002 71069\n30417 93114\n42740 45641\n61501 98556\n35359 36833\n21628 98371\n24009 43264\n3950 76642\n17419 89509\n27819 98295\n16393 17110\n18599 63989\n65677 94124\n18007 50070\n2375 24765\n33089 83663\n5913 23845\n31945 68631\n75968 94477\n61670 92812\n52433 71883\n64612 86339\n56711 81911\n33317 70861\n24253 86713\n69150 95897\n24052 52294\n7457 30709\n61247 70376\n50256 52192\n2811 80630\n16837 50497\n50479 73510\n10661 26901\n77847 80341\n4477 24641\n15419 51252\n42321 96814\n22797 95656\n22073 92747\n84843 92815\n49489 89956\n30835 35702\n2967 90296\n48437 68473\n56427 68869\n32091 50968\n47569 85371\n15686 32968\n66747 82737\n40583 45572\n24828 57235\n6544 16361\n58635 87727\n3595 95066\n21213 60658\n35316 52927\n21857 40168\n79867 83417\n31168 91661\n43594 98104\n37160 62931\n49132 82029\n70945 88490\n43963 89587\n9677 92702\n25111 52008\n18664 40016\n17585 48108\n50618 80217\n79980 94832\n6981 74552\n47568 79420\n84441 85926\n28095 85721\n55898 66650\n14797 85272\n9313 58111\n3908 9001\n5663 35533\n53428 82295\n37233 85490\n5353 20191\n12286 35684\n876 82920\n21392 48500\n41000 71258\n37252 61111\n31443 90747\n54982 64935\n26581 57256\n7224 26228\n21933 78375\n75344 80474\n72987 74904\n20820 88765\n597 67832\n51184 94982\n21152 79731\n16263 89394\n5903 21078\n43901 71009\n2113 90926\n28181 40225\n66373 76540\n24267 64315\n81353 82192\n5931 8320\n72066 87604\n36903 39262\n46183 76305\n19879 83361\n29615 44996\n25288 93435\n19108 29121\n26621 58170\n24564 61503\n25432 67558\n73916 90902\n72638 91996\n89555 99589\n34558 42331\n10856 49659\n76449 87575\n14304 33565\n75519 88634\n38956 55575\n42220 82720\n41043 57227\n11683 27339\n48591 57114\n50877 98544\n55416 78226\n55491 76224\n19514 42012\n27781 62006\n33551 69180\n16099 39513\n17733 24372\n52617 81145\n42465 60170\n9135 35042\n5121 37681\n14539 66760\n6078 43594\n44146 84962\n30147 53275\n16603 61981\n27816 35275\n20018 50386\n7270 18917\n11902 52778\n24041 66786\n1844 87291\n46 80716\n55646 69883\n22800 76215\n94027 96625\n34274 44362\n16077 31918\n2749 39976\n80433 95628\n3223 75093\n60485 93831\n840 37134\n40102 44681\n51856 96846\n26005 63115\n46339 46658\n33086 94873\n48509 98043\n50102 91106\n15984 85639\n15056 81073\n25897 31271\n41008 68349\n61554 98113\n12925 40990\n14440 30449\n34000 51691\n8467 78796\n44202 70481\n13637 99696\n45696 93866\n12574 91653\n9717 66963\n5164 99620\n32193 64805\n5156 65260\n41358 75126\n30477 94958\n47137 92207\n22524 88778\n20392 31466\n33246 80263\n49677 59927\n13297 81335\n51614 64620\n53825 77669\n11916 18174\n31025 35593\n1803 82361\n75517 75928\n3333 52386\n68285 91940\n14509 20007\n60707 75614\n76699 83308\n14536 68527\n3368 51360\n8362 55574\n40460 99574\n44580 45981\n7460 76319\n19765 42876\n45905 81185\n65164 85037\n89751 90106\n406 42032\n3024 61889\n48715 90109\n60663 65603\n47874 75843\n58429 60233\n3797 34467\n22061 88800\n44321 97923\n55252 70670\n28851 34081\n70750 74207\n61415 62291\n70171 96412\n43355 61112\n56179 72863\n1248 67686\n42792 79019\n49132 87611\n41626 60968\n11303 93811\n70487 74975\n20629 44260\n31593 52668\n64527 96471\n47493 98127\n52404 94632\n18324 49704\n16092 66585\n1780 14110\n26552 38175\n40669 90369\n2683 16950\n21855 71113\n38633 85400\n9612 92967\n39344 74992\n13322 62933\n25568 72522\n32895 50418\n6685 92189\n6349 32987\n47141 94844\n33446 96340\n5797 92476\n22468 72378\n41883 47153\n47547 60533\n38231 96878\n15906 24871\n30132 36024\n90535 91163\n14171 52238\n32800 96065\n54671 87822\n54528 59241\n10299 12946\n30612 94642\n15569 37952\n5416 92750\n65524 83111\n9863 65426\n73129 99644\n11408 60898\n49765 77141\n29233 76943\n9146 14641\n15409 54141\n47045 93419\n5159 25193\n19609 43778\n5611 92027\n48107 98548\n40096 84419\n24500 84979\n56664 75083\n34888 49207\n12581 58074\n25740 38571\n25582 71811\n31575 77199\n54477 86287\n27603 88219\n39525 61563\n27399 86860\n5376 85050\n91381 97489\n59102 92497\n9519 65085\n33713 48375\n18396 31783\n23266 86324\n952 61029\n86015 87268\n19331 91362\n37026 90402\n7279 86346\n48638 75540\n37669 65665\n27850 97009\n44725 45994\n8575 88355\n46469 75669\n52059 93747\n4405 19709\n78124 94137\n2021 56360\n48155 88648\n44125 89999\n33785 44053\n11146 16498\n25560 67685\n27652 60333\n49101 80395\n14476 70652\n21725 70111\n17516 52613\n82703 89025\n19917 58067\n26869 54578\n5412 92073\n20490 34812\n14070 71715\n60455 79195\n80465 88067\n4093 69589\n41997 83344\n18135 66185\n509 99168\n16234 43306\n20431 26060\n29294 48496\n72271 83671\n8073 98589\n11700 39778\n14595 86704\n14656 69385\n17988 73507\n60809 73670\n22603 32573\n3240 76326\n8630 31569\n72264 75109\n17299 20608\n26235 54522\n48375 81708\n64188 78437\n2478 53686\n72032 92486\n37249 92802\n17858 25747\n6139 52953\n63448 80939\n16062 61513\n80922 96560\n34140 64784\n1817 82180\n22946 59566\n98591 99881\n72774 89608\n37547 83820\n25699 93856\n608 39673\n46032 81375\n75386 77400\n48594 66362\n67244 96739\n30653 81685\n61785 79670\n3365 22631\n59982 76516\n14991 99134\n38464 82938\n9391 65148\n41707 80325\n25510 35905\n4620 19867\n3257 18849\n5564 78212\n11148 18830\n50581 63889\n37273 75089\n37103 50408\n82414 90008\n1158 63337\n3843 74607\n16967 63163\n16194 43304\n32480 97438\n689 45294\n67954 92572\n78819 96066\n38593 73565\n84352 84357\n7915 44847\n15581 33711\n46111 75430\n88163 92689\n17497 81590\n23979 68494\n2205 14516\n72944 93843\n78869 89911\n44564 73883\n6593 32973\n86032 91358\n37579 82101\n25839 66688\n41111 74127\n36469 92160\n80159 98678\n16125 37373\n10912 58610\n19595 96872\n35662 60767\n41934 51959\n7475 58244\n33195 96240\n7815 78862\n32398 72289\n31281 44221\n27796 58331\n453 73537\n24504 42610\n17973 71911\n38973 79707\n40205 69571\n22390 53548\n24013 74990\n23516 52297\n5769 58362\n76108 82374\n45863 65942\n10669 72642\n14902 41734\n28553 94047\n41949 70382\n22687 58778\n12339 95279\n63384 93027\n2796 25245\n1917 93323\n2034 13045\n37471 85418\n24313 98271\n51070 78338\n46475 52861\n62580 99912\n9781 41206\n28130 90091\n76495 86041\n75261 94300\n6033 40140\n27309 47814\n14474 23622\n4719 46157\n86491 87874\n35498 65564\n27416 28005\n6206 20699\n16145 37873\n17439 24595\n66137 71229\n30283 72741\n65274 88312\n26533 89324\n37954 55172\n36357 45673\n8140 49190\n35354 94016\n24338 85570\n2300 12804\n30735 96720\n60170 78643\n3495 54845\n15269 19710\n14819 99952\n53301 75934\n8357 32763\n51379 80135\n31849 92875\n40320 56675\n28931 77014\n11847 94874\n11929 15683\n59495 63390\n46046 78469\n11207 18074\n18521 62768\n47752 77531\n12925 91796\n27501 39197\n41267 64122\n9587 22629\n23668 97798\n25611 71813\n30802 55555\n22711 75914\n3754 45902\n1872 39374\n25352 30716\n2187 52310\n4915 45905\n47145 47394\n14563 64679\n18196 61764\n76859 84490\n33429 73569\n4771 30242\n61759 89965\n40643 78253\n39692 74719\n15055 64751\n47583 91178\n2788 44841\n24106 92354\n35360 66092\n11940 23144\n47469 84023\n51067 95816\n73048 75301\n38116 48675\n73294 99660\n38494 42806\n40479 60827\n11367 89080\n25228 93387\n12280 99375\n74153 97375\n56290 67443\n802 97210\n20241 95959\n26151 53104\n43506 57617\n78771 94611\n22912 66496\n12074 72825\n53152 98102\n17660 87678\n65640 87921\n41613 63496\n6011 15506\n6125 96787\n1537 23219\n23948 70179\n52380 93764\n52234 90046\n11580 91067\n12550 90872\n77440 98547\n56197 89568\n23142 64627\n64768 87945\n28898 80564\n10644 26329\n26910 67439\n58839 66516\n55609 91062\n65002 85932\n69719 82013\n18074 52636\n156 40255\n31732 55961\n25200 73156\n55217 68769\n6770 54269\n12662 56387\n78333 91560\n18529 69778\n4811 92567\n23431 80208\n44680 99739\n10721 95083\n23859 31826\n10450 73858\n16640 70005\n24821 63403\n39093 95598\n16017 21428\n40718 53916\n40855 89341\n19350 23554\n16391 80722\n30579 94752\n20857 58784\n3302 60444\n43064 47849\n71582 94498\n57438 91675\n1186 59714\n66856 88626\n6134 55967\n35885 61878\n23812 49985\n24972 81277\n93179 98869\n26959 29547\n44787 65062\n62175 88397\n49956 92736\n10042 22553\n11191 86748\n19958 52759\n75738 96244\n22379 97774\n39761 44591\n43949 56433\n13306 31751\n13226 52995\n21935 63701\n20416 35495\n2637 22867\n22532 22565\n26783 79240\n1946 54352\n28131 66912\n15107 40153\n20936 67098\n16661 68780\n63154 81083\n66266 96902\n28006 63030\n78938 85839\n13251 41406\n6760 72416\n18997 32090\n30681 57688\n50164 70073\n13026 52513\n7174 13682\n4147 9698\n28830 94572\n36268 52554\n12409 78694\n27036 39103\n16407 35148\n31528 35311\n55736 60708\n39514 87467\n4462 61428\n69733 82996\n71398 93085\n71959 76725\n17728 30612\n50370 87660\n79084 81706\n49255 98514\n31678 68188\n21403 69517\n2032 24913\n51127 74049\n56042 99516\n45418 49397\n88540 89917\n12125 53150\n69535 85034\n4038 27151\n57473 80647\n29771 80229\n36151 40855\n41657 41882\n44642 52769\n29862 54692\n2645 16933\n13702 87511\n26955 53033\n11569 36395\n47647 91610\n7074 83254\n14673 79870\n38101 39749\n18580 28975\n39912 66933\n48940 79659\n16011 95583\n17935 83972\n13791 15296\n2519 94798\n10192 88210\n44458 68876\n34885 57534\n35606 78945\n63204 97948\n40510 46632\n48265 57205\n48262 95763\n70756 86479\n49908 66704\n47641 87119\n49332 79408\n55535 63689\n49614 81476\n23802 62616\n27815 63807\n19132 91264\n18244 67128\n15920 91567\n52830 63253\n45271 93150\n2389 48788\n68282 99959\n23477 77285\n32856 78762\n9686 31457\n63213 78063\n24531 24960\n197 90431\n6248 34021\n82500 97321\n1840 24433\n17533 75419\n13451 31387\n2563 83429\n48317 55879\n47700 95267\n25887 88996\n5350 85279\n72943 83301\n12784 27722\n37280 93728\n6833 14781\n46409 77512\n61220 88089\n81075 92471\n10890 56216\n19478 84054\n86682 88615\n1262 3616\n71174 83475\n37833 91227\n37996 74568\n3448 3885\n1965 62890\n29242 90475\n15422 36501\n61613 79754\n67029 95845\n1241 78517\n8514 41695\n8186 50629\n65663 81566\n34760 74528\n34594 68738\n26516 32096\n3089 18810\n19872 56403\n49310 89274\n51737 77894\n14984 39828\n47000 54775\n56110 89191\n10592 39892\n10174 29692\n45516 75324\n19777 39810\n58398 94590\n12796 78335\n34733 42034\n21698 76371\n69985 72071\n36951 67656\n24639 99419\n39489 98817\n61716 76154\n27010 75437\n72790 96174\n3898 25479\n1240 67825\n45786 80796\n36975 91437\n52465 79546\n42441 85647\n30332 36375\n48047 65788\n9190 31245\n42954 50275\n44196 56953\n53936 60281\n69790 87388\n1033 89646\n64302 90974\n16233 35172\n58740 85143\n50921 77305\n5283 34580\n39106 56426\n19840 40635\n66383 88334\n5763 77776\n20624 51228\n51942 73473\n31617 96428\n31830 87720\n18715 52659\n12622 79827\n22173 94870\n76963 87354\n9821 69752\n13183 20081\n23980 81805\n46208 89975\n32800 73191\n34923 43507\n11237 75241\n27073 58657\n73611 87363\n36609 57658\n87707 89242\n1107 50133\n21624 34011\n53782 58854\n25 9180\n17109 55726\n21146 53238\n52824 92511\n97 55399\n60640 90786\n82762 85582\n26665 65966\n23240 81880\n16968 52136\n27595 46136\n20539 88896\n52842 57521\n10334 57204\n3178 24447\n12216 50950\n46715 65385\n2531 63591\n13625 86391\n19782 48965\n45766 47518\n45533 46928\n2211 49947\n64857 78681\n6428 37572\n26870 82974\n36556 70485\n9061 54290\n6321 87832\n21767 23070\n3661 13915\n57678 64688\n21533 77659\n29194 82832\n4850 44071\n7629 17827\n22609 78292\n53820 70962\n13072 19890\n23604 59841\n53834 78878\n10340 68074\n15184 93682\n51469 62867\n36140 84758\n1222 74977\n33660 96942\n53258 67980\n53797 72495\n11227 69212\n12707 95691\n51278 58536\n48428 92970\n8580 85601\n11135 41452\n30068 44209\n1970 28241\n10417 91550\n13021 36816\n10874 96860\n22401 85040\n6741 17427\n33121 63842\n20862 54982\n16994 29331\n7704 83779\n34355 61666\n50248 63348\n60834 65958\n69536 75307\n54460 56316\n7829 82026\n11341 98658\n19533 67911\n29665 79389\n23581 97665\n7722 83441\n60710 68167\n89690 89744\n2598 76114\n53498 80129\n79245 98256\n82054 85883\n37631 78802\n45135 52571\n7069 15025\n34591 46751\n3549 54549\n38347 88042\n51447 99901\n39174 56526\n89302 99820\n61200 74671\n75190 97307\n10806 73696\n20572 31160\n21956 77239\n23864 66105\n70226 78585\n17036 90620\n35249 61917\n32481 96853\n49442 72768\n17486 70158\n14642 52956\n32835 81008\n43419 94879\n56133 75990\n538 40582\n33676 53757\n12458 44382\n64227 67211\n22926 54885\n20478 78858\n4044 50502\n36392 98654\n23976 79561\n54347 79498\n28794 58167\n69823 91125\n6814 51291\n28581 96945\n64282 74134\n2017 88528\n69858 71387\n10564 80558\n3083 49810\n64678 67713\n16069 83325\n35829 76327\n68210 84919\n84018 85366\n21814 66334\n86948 98529\n13347 16073\n16131 52691\n42195 91898\n37753 92764\n62825 96540\n3694 65178\n16999 49871\n9142 33543\n88302 94020\n54528 61531\n57763 90147\n46203 75321\n41083 56766\n10709 34377\n1439 64213\n28746 64505\n44853 49663\n6797 36681\n36987 90511\n2654 77221\n13572 63978\n2502 30616\n45483 65744\n21770 73743\n74253 89938\n22296 54335\n64338 97989\n76824 88684\n948 69593\n70195 86883\n67245 96720\n46903 61558\n91583 96322\n46876 54059\n15734 44063\n83380 94181\n13677 18284\n17775 41761\n2369 15537\n8657 36993\n55739 57103\n36633 38212\n14371 64454\n15968 73335\n3054 36908\n10599 47605\n38531 66671\n35886 62292\n37242 57033\n21428 97928\n34455 35503\n28424 71801\n1733 93751\n42026 52396\n69264 75941\n30912 48081\n35397 98965\n5819 37071\n34581 40693\n881 64210\n48584 59176\n13692 21672\n3629 66611\n26581 55602\n68729 74466\n12596 95496\n38390 79978\n78644 95125\n83902 92146\n3919 42876\n63366 71659\n44724 93983\n44033 45852\n20490 76739\n14238 91760\n53753 78765\n11314 33835\n105 68241\n15175 53917\n6612 71371\n63354 99240\n21517 31334\n6258 76038\n14225 76768\n51350 85730\n49739 51136\n23896 71933\n49696 82387\n35990 87958\n7143 95813\n31504 32126\n22618 51969\n23523 88404\n38445 81719\n14645 32689\n745 93053\n46076 54290\n27530 63336\n9130 15072\n54859 80173\n11456 36275\n29140 90461\n1338 49164\n14915 89353\n37545 89985\n46983 53450\n25057 90992\n40959 90922\n69802 78720\n41014 84299\n72579 79761\n27683 69954\n18586 51305\n14923 85120\n24995 32933\n28112 67470\n73051 93046\n23763 51020\n19413 23384\n11066 55487\n32838 58237\n10268 13788\n15678 60197\n10283 91518\n76781 95228\n23891 67075\n72593 78907\n69893 76184\n28223 85514\n3074 45266\n5232 90033\n17853 26742\n68790 96903\n40826 79475\n59081 88664\n36730 89190\n23341 30227\n2652 18643\n16017 82243\n42804 61492\n55136 88615\n70294 85165\n60832 76164\n81318 99553\n22772 67678\n70466 82525\n56503 85491\n40127 77529\n2574 68750\n16597 97535\n57619 83391\n10584 61268\n55593 60775\n34691 95026\n42521 50907\n78793 88748\n2898 32668\n18031 44580\n43637 88977\n70124 70366\n54664 78516\n49637 69279\n51203 96182\n5726 33459\n53635 96199\n2171 25246\n25984 26866\n2529 38635\n55612 61341\n40466 43082\n45003 80104\n17302 67314\n9103 67735\n21548 73391\n73192 97837\n55546 96374\n61840 82374\n26019 39559\n71356 95437\n6172 32977\n43984 58683\n5300 55243\n6333 73091\n17950 93146\n58958 63584\n14683 43207\n24239 70354\n69942 70481\n64299 97459\n4391 96273\n66245 86328\n13506 51555\n22848 67589\n21863 88618\n30480 53407\n70179 80364\n8581 91136\n11382 86761\n34240 38277\n21145 31717\n45721 79977\n4650 59471\n57104 60455\n47480 49086\n40328 57367\n30287 79682\n46963 73964\n80420 86304\n33840 57465\n40165 61966\n45837 53533\n5643 60353\n29766 64996\n57115 79769\n32153 87894\n66824 93956\n53548 78912\n28128 33465\n10733 45932\n73003 80456\n77648 80297\n29738 63678\n4814 68239\n51489 58244\n66065 68416\n73639 86366\n64251 66339\n67121 88806\n9991 88918\n27091 75146\n52907 53582\n29463 87330\n42025 67141\n72928 82972\n23486 75449\n7656 14535\n9251 23904\n62878 80685\n15344 90447\n39611 87289\n1359 55892\n2615 67811\n30184 65565\n34725 42696\n32209 46373\n51750 90249\n43772 94491\n1077 32762\n43527 60632\n1874 56098\n34922 44826\n75266 78660\n42799 45226\n25098 29813\n18327 71734\n37152 45399\n53454 94227\n15803 86703\n57874 73498\n26397 34165\n19210 81479\n31043 33455\n51392 78160\n18771 27736\n12738 33542\n34163 48753\n81792 83975\n18637 84592\n13520 55114\n38236 99722\n32910 83564\n60098 83862\n59391 70603\n4391 29056\n20970 98508\n30480 63836\n63023 76870\n60140 71943\n5458 29164\n4586 41826\n4973 60613\n52196 73087\n11542 63597\n15364 15520\n74127 98136\n35400 54835\n53527 73851\n28471 54020\n23260 77806\n52288 67894\n22434 67065\n27508 75163\n25179 42037\n75112 75957\n30773 92876\n31635 65048\n12008 29405\n21819 39703\n81582 83315\n66001 81664\n18702 73227\n5032 11858\n18915 19375\n53222 56909\n18788 35968\n37413 76555\n5671 58990\n13016 65786\n43371 67577\n48070 85664\n11445 99622\n51760 55368\n16525 30456\n4110 47058\n7893 21950\n7935 23891\n41863 80798\n1060 89213\n8109 42919\n3361 77063\n3629 12714\n38520 94225\n8896 9520\n39860 76114\n96181 98243\n44400 87360\n51570 96954\n48524 86213\n9995 85147\n10077 83638\n1403 5624\n47563 96525\n16617 93152\n26264 58006\n55943 59492\n33443 81534\n8819 39755\n28291 64709\n24952 30798\n21686 62435\n25106 87686\n36946 43147\n64035 87369\n51672 62472\n30982 48269\n61665 77916\n56015 72134\n1112 65853\n10982 52538\n50386 83413\n52360 60003\n14217 88261\n22610 38482\n16810 62561\n40666 70354\n62019 84458\n17648 95061\n48879 67395\n54174 70408\n28696 52974\n52669 57401\n17918 59626\n11910 18851\n13451 45186\n67617 81841\n48520 73436\n39104 48145\n37092 85438\n13277 67188\n28736 90788\n5761 19092\n30935 80333\n7051 69213\n6350 50113\n47298 92885\n46916 56071\n47743 82934\n16378 39544\n24925 79203\n62707 97262\n45986 54076\n2217 7411\n69829 79047\n48820 48899\n18323 83141\n20826 61760\n13746 44767\n32044 82269\n37012 66723\n28938 47944\n78382 83846\n36978 65896\n8877 83328\n67155 80539\n75340 81008\n40019 93554\n32178 58920\n32360 54882\n27917 78871\n12950 41088\n22702 58888\n75431 82515\n42146 81800\n16349 65295\n68578 99926\n12017 44008\n59298 87012\n29872 46152\n36768 59149\n70023 89444\n19436 53448\n1470 50501\n5967 39188\n19708 61432\n29805 92032\n12156 95529\n6416 41297\n3203 71039\n37506 57024\n18765 57356\n9589 13840\n77847 84887\n7407 80833\n47658 54777\n43450 46154\n68445 78324\n57463 79127\n14350 59693\n22124 44929\n2840 46912\n60695 64927\n11440 13747\n10464 57692\n16255 23509\n71583 91791\n49037 96962\n63198 73468\n2495 62267\n8484 10845\n8835 94948\n26800 96463\n22826 67045\n36204 48413\n25498 49885\n59876 76239\n86391 96972\n393 82633\n16917 24293\n35712 85275\n21846 73932\n55673 71083\n87354 96714\n2013 12092\n11868 77120\n28375 95283\n7142 34295\n1659 67730\n27353 46391\n42416 52812\n51432 52192\n42695 85734\n11967 42554\n27714 44715\n77654 89044\n2254 63431\n28055 39566\n62868 81759\n421 16802\n24623 60434\n15439 51342\n9113 14625\n38673 67781\n6815 73293\n27180 70255\n53425 67574\n39684 43267\n30144 83484\n3729 6457\n26481 85608\n52713 94626\n10094 61923\n27554 51409\n85548 89428\n65954 73759\n71611 98948\n68249 70931\n71938 79207\n39471 75988\n4377 51422\n15194 95369\n23138 89877\n28886 34120\n57052 64306\n16417 23103\n83916 97146\n8630 57784\n8153 77289\n46079 62572\n3820 83180\n18694 92594\n77899 87724\n9773 15306\n71473 97778\n57697 65648\n75758 82289\n32982 95578\n57976 81291\n35677 47822\n14082 46076\n25834 54889\n15461 70479\n22763 91687\n87637 89114\n8793 17210\n15780 57769\n10189 62082\n11290 97107\n67929 82441\n15102 58176\n13763 81434\n10868 63660\n49400 65486\n50517 78194\n45611 90659\n67664 76681\n47471 67653\n43648 95770\n55217 93074\n34724 61813\n16948 45109\n72854 83154\n49194 55670\n34090 64386\n76902 93188\n28851 39842\n10981 55724\n57058 93235\n41935 85478\n35402 86556\n3162 13594\n1511 59227\n3980 77058\n34182 88341\n56893 84709\n36058 89731\n78620 99352\n15774 62000\n4885 75773\n48214 62165\n31772 77325\n70223 83578\n74614 87296\n40895 91049\n14267 59089\n26557 85961\n22005 53003\n20049 87251\n839 23455\n46315 70902\n37877 99054\n5999 87773\n75789 97592\n62608 80538\n92319 92538\n42682 71708\n40891 47420\n65466 72456\n3369 66393\n14125 22789\n93 92440\n16731 67303\n3696 29334\n1651 89552\n37620 50977\n12065 44555\n80550 95777\n18514 53842\n58876 59928\n11387 18187\n20470 72704\n74418 78721\n54343 64042\n67327 94145\n31855 55195\n9190 69804\n11524 71668\n49275 53433\n18578 70801\n36145 77479\n3997 6753\n47814 96846\n66547 80844\n6594 57262\n58770 84934\n21493 44258\n76690 91802\n22816 49323\n11266 11544\n19985 82287\n25646 95179\n36869 50092\n55184 84047\n1612 89642\n42145 46903\n51805 69836\n19977 77404\n22714 71871\n16430 93574\n66370 78256\n44788 65692\n42877 86622\n63126 99037\n6074 67304\n65840 82446\n6660 8441\n25354 45556\n69466 74505\n40866 99975\n60884 93108\n2298 23447\n39798 64425\n36875 78767\n15182 62045\n6124 80165\n25035 64504\n56529 62281\n42812 47452\n8675 90352\n33186 35741\n66894 83627\n47810 60670\n4654 10874\n19887 95435\n11792 90382\n34328 38612\n10527 79949\n78368 93407\n30069 46149\n15604 72551\n44574 53414\n19584 63734\n66759 88360\n52683 66360\n3966 93955\n23647 49771\n61767 86052\n41142 72614\n35249 40954\n22657 38927\n34359 96216\n26451 89988\n33690 99825\n13821 29646\n9898 13809\n38777 54261\n6633 59082\n23039 68965\n67294 81862\n68490 96647\n15175 74154\n43889 76539\n3954 11331\n3198 46353\n43668 98052\n64631 92638\n60667 66705\n29058 97625\n30152 73184\n40944 65529\n30448 38304\n21815 52491\n32428 54583\n74083 99603\n35859 80826\n9919 74276\n30557 63590\n2545 91742\n29657 59755\n53408 72274\n5633 39683\n4297 68327\n21069 31442\n28318 59450\n4422 47552\n5064 36943\n15434 92893\n62124 66149\n26400 43916\n9604 72525\n18189 64543\n77464 91896\n63572 85917\n32807 43798\n61303 72647\n60017 75135\n14229 32039\n14571 70852\n14713 40294\n20053 51613\n29601 35630\n14457 21217\n32207 63387\n48964 81367\n60382 72606\n18006 49734\n53761 77135\n51193 52736\n872 55410\n12651 95614\n24277 91525\n18152 61057\n3713 52414\n13863 49331\n53876 71795\n52768 96795\n53209 64863\n16543 79931\n37929 40709\n4693 91165\n73901 80938\n30006 96711\n33710 89763\n30141 75906\n29453 36928\n10780 80984\n6121 77559\n67664 91353\n21090 62033\n54508 65143\n23118 36494\n60228 91614\n67451 91877\n67648 68083\n1358 62661\n23250 81374\n48877 97511\n32552 59265\n15182 75436\n13982 49357\n3147 65961\n17154 75997\n54885 66326\n40896 87260\n15927 30443\n51549 86219\n11771 61232\n1870 31485\n9395 42746\n9387 42920\n5248 94472\n16135 90580\n18061 64634\n21987 70692\n57378 71413\n2897 59659\n43444 51343\n35948 61125\n48133 63238\n6014 96389\n66022 83840\n34665 97863\n27972 67876\n21737 46778\n6774 54505\n28204 34201\n40441 62379\n23765 67817\n51515 87764\n1140 60917\n16052 91492\n74716 79195\n76254 96253\n55593 79446\n17726 45645\n44012 68743\n19432 96277\n14933 67225\n26331 33789\n22042 44662\n29962 87104\n20248 58733\n35834 63217\n50806 57566\n58850 99943\n25099 59186\n21455 87995\n27820 40572\n2091 21286\n7273 51854\n3339 67395\n1762 80402\n4012 23370\n25193 30887\n30186 63639\n18572 23286\n9953 98607\n40605 74613\n64877 85100\n31863 67177\n36234 40144\n39051 89143\n17044 88481\n22294 41628\n51985 65365\n77125 90015\n8504 13014\n21601 51838\n68601 88419\n19297 56833\n14796 57608\n10950 94523\n29043 60671\n38275 79235\n66843 99183\n13487 27773\n25113 40608\n40297 95702\n77603 94629\n43684 51386\n87229 88485\n43220 48870\n87119 91687\n75188 95391\n48899 99243\n52236 78559\n33503 87385\n72024 85965\n22746 78716\n2255 20303\n26549 94658\n20980 70962\n29773 45972\n16635 95964\n32850 53837\n39909 99879\n36946 61843\n6966 74416\n1003 60830\n61126 71841\n12921 72000\n5354 18067\n7464 24258\n24581 41245\n5465 87502\n28827 80558\n2236 89770\n35149 65921\n24992 59033\n16371 46626\n4707 99693\n16640 33916\n52810 89006\n58006 77570\n6802 15367\n26027 44561\n4044 98741\n3779 71454\n45618 60185\n26475 95376\n73911 85107\n18147 86592\n19116 49408\n75582 88145\n23496 35597\n15236 95273\n70186 90087\n79223 87276\n29299 63327\n13971 85466\n45376 56252\n12774 49355\n89534 98062\n30091 71616\n42326 83717\n4479 75570\n32619 92977\n52111 70529\n68203 94820\n55512 70211\n51968 82381\n33975 54770\n22136 75051\n40772 73588\n15314 56058\n26935 65714\n29283 67613\n71460 75843\n11439 85043\n24830 96167\n56216 95462\n6824 52313\n67150 95339\n17504 95646\n23241 46115\n51427 82975\n33500 53110\n34287 76854\n10751 39049\n47196 79962\n22499 91479\n10862 50508\n41459 96169\n74040 88151\n21675 47331\n41434 47557\n42215 79371\n91367 99908\n24389 25990\n28069 49720\n45975 76722\n16543 44158\n34493 78404\n37946 43238\n3373 19374\n19696 57208\n37753 39522\n55295 97983\n28088 57019\n16363 83552\n48253 68078\n78384 97687\n31265 42214\n18183 50051\n32455 75110\n33647 85389\n35565 60823\n12423 83166\n16597 31668\n7334 23615\n27635 45766\n17187 19834\n34246 85474\n20034 70165\n4338 14955\n5490 50114\n20913 28281\n23079 69502\n14247 47437\n72253 76861\n74051 93885\n49854 77956\n3550 19942\n32150 48761\n282 7224\n61087 88542\n66912 91083\n31697 39660\n47338 67753\n1160 9317\n55546 88756\n9596 87539\n22627 82193\n64473 93791\n59272 79162\n10171 93816\n27952 64618\n52511 62392\n36529 62516\n30295 41961\n9766 14536\n1756 71940\n18506 49894\n21530 39240\n53706 71992\n1560 54874\n49285 49581\n25715 39812\n42545 91742\n8071 55012\n73937 80276\n75643 98632\n12760 39598\n52546 95916\n11646 52362\n46244 78105\n26489 92270\n5343 53062\n5321 84872\n41095 60121\n23888 67437\n51150 90544\n6049 29113\n25343 27545\n66375 68746\n11251 27065\n16074 21646\n20798 23440\n39083 63263\n59150 94734\n52855 89307\n26310 83210\n44295 65725\n86571 87715\n17242 65065\n19034 94315\n20124 98818\n15850 74073\n36078 55192\n17230 84933\n3905 95287\n2852 49175\n12857 36624\n52139 67492\n12573 94214\n41303 95759\n3552 35791\n28017 37571\n6243 68115\n6591 74580\n16270 84147\n40802 80502\n18819 41176\n43274 79459\n13124 83780\n77132 95515\n41496 62525\n34417 77843\n9292 31151\n22539 53917\n609 52602\n42941 87313\n27895 77525\n10401 55977\n24636 26835\n13193 22166\n69735 98739\n55696 98227\n39990 99969\n45319 54391\n108 94433\n11392 76397\n46682 81188\n13515 41376\n7604 14772\n57423 81996\n9684 75996\n70422 99934\n20811 46342\n62969 90662\n49390 58824\n991 56111\n49433 65954\n29422 88881\n27990 40030\n19059 32436\n10966 99480\n3852 47351\n5568 99816\n19330 91919\n71814 86799\n4678 20393\n57106 74757\n66311 97298\n25940 81130\n8422 35135\n1217 99818\n45137 97408\n61574 76385\n74583 97836\n22250 73069\n34458 48550\n1979 7943\n14486 53655\n95358 97441\n39920 80713\n15383 92863\n4317 61897\n22398 43305\n94284 99106\n832 88512\n2341 46908\n6300 42216\n81888 87241\n34052 39852\n16070 59017\n22294 46361\n38609 75951\n19883 53397\n21573 77238\n23645 46232\n71338 77405\n64950 89293\n4972 78849\n23545 80792\n34456 95255\n66892 72556\n63961 69640\n17734 38096\n64107 99651\n3959 16945\n77052 85877\n20757 32815\n8295 91911\n49437 83863\n83543 86956\n21053 42149\n20196 48651\n742 70111\n24191 68315\n36911 61549\n1140 42597\n40394 58990\n6311 70703\n15499 32308\n85293 92904\n9806 54591\n81519 98645\n10204 74210\n15516 85723\n27744 66248\n5754 43174\n10285 11782\n1379 94358\n4035 41413\n69458 76704\n44804 72357\n21610 93521\n56125 78093\n1143 10426\n17166 89511\n67940 86377\n32104 90510\n13055 65969\n59785 97757\n54228 72539\n72285 79470\n1238 76490\n41361 72243\n6136 23054\n37059 92696\n51031 54866\n52506 98434\n21977 54092\n21342 38232\n2979 79101\n27622 28267\n25266 52255\n21762 39326\n64419 95078\n70286 70597\n31923 36195\n11615 78404\n16043 22820\n23701 44316\n42675 85497\n11164 98326\n15908 41123\n25117 34949\n2268 17197\n15679 81614\n70906 81390\n6360 16223\n76793 88655\n44800 92495\n43478 92179\n65214 72564\n12521 28649\n6267 17409\n29913 91101\n2290 15960\n27530 61892\n21763 73683\n83626 96097\n2422 80222\n52994 53153\n20952 50155\n5528 27327\n40205 78747\n48817 65143\n10654 73250\n36393 45146\n11882 67841\n13078 29269\n9396 74900\n19758 89490\n68875 76208\n15662 79030\n1220 70614\n13041 26696\n18685 44117\n11351 99746\n64270 85385\n3114 47839\n80028 86896\n94072 99218\n3438 57033\n61309 98647\n22721 75832\n60051 73106\n15624 59808\n83457 88686\n19331 45649\n9619 79395\n18110 27861\n29348 83698\n45636 63373\n18252 49401\n14148 37174\n10446 80032\n73416 87596\n20358 88368\n33268 86594\n23359 90446\n18917 67866\n6365 89157\n41037 72069\n14296 88707\n15098 15265\n27607 58354\n28736 88364\n41505 57695\n19591 41573\n50918 95382\n47964 80000\n52025 78249\n48413 76683\n7821 39047\n22242 71532\n17075 58748\n14112 48487\n13159 83762\n17716 91996\n54876 67740\n12888 90821\n9967 15409\n11154 31667\n61882 72135\n32035 85138\n55055 59715\n74526 81181\n21177 23843\n53453 77875\n5660 62829\n30776 60970\n84273 88257\n10745 14402\n25468 49926\n15929 22074\n2437 88077\n54997 95397\n5019 39160\n33086 94971\n20604 90735\n51917 70821\n29294 64153\n20299 91054\n1316 96391\n9858 96515\n2091 59629\n11547 53564\n9094 11320\n34727 83595\n12504 83994\n44698 60695\n5742 26934\n31688 55980\n13617 95566\n6310 11994\n26670 40673\n38557 72521\n12196 94669\n12104 12717\n44614 46539\n14930 98918\n40205 51053\n5811 91255\n77468 90312\n10481 85060\n42153 73043\n30086 40862\n4759 6818\n2373 43893\n9810 85448\n76891 79008\n27454 47194\n44943 65578\n4243 37988\n46662 71970\n39799 60648\n20806 49736\n203 13325\n64447 80997\n40845 80528\n79040 82662\n4346 83415\n12084 32991\n75 39281\n10919 39180\n32619 39700\n38726 92376\n33457 47363\n56332 62776\n23056 24944\n63916 76684\n32309 78951\n27016 42642\n30708 45087\n26848 55336\n38560 73721\n6342 13413\n5180 31412\n2834 3886\n23768 62829\n8764 43265\n67295 68283\n67057 76016\n54732 75912\n31629 71068\n34110 52875\n25540 65521\n82850 95796\n74670 80375\n14090 60402\n3448 48726\n34471 95730\n43274 96805\n3090 43374\n50035 99435\n7390 44127\n2132 37722\n1504 75926\n9602 80526\n44095 54659\n25143 37761\n88198 96893\n59972 96633\n71789 86779\n62731 89280\n48692 58832\n3231 67603\n46267 98033\n18046 33095\n14386 39805\n10735 70147\n51344 69589\n13754 94310\n50896 94267\n28224 69847\n74431 94622\n10217 27059\n20603 75928\n10200 77846\n33637 95986\n23306 60533\n60853 60978\n40651 61251\n36734 66292\n7742 16763\n22192 70855\n24661 66715\n21727 85317\n61377 98332\n21202 92410\n48944 98022\n15283 17167\n51177 82359\n38712 73870\n69196 78287\n13175 48738\n70523 98761\n18056 91879\n11734 20556\n55202 99591\n29248 69633\n61563 69881\n32255 73767\n67498 74161\n7079 22173\n23383 37467\n33368 50201\n13606 71473\n21508 82216\n50998 78061\n29891 52105\n58714 75513\n40398 58261\n38125 86692\n80368 91332\n24500 24814\n37138 60919\n28581 83538\n86684 92028\n10529 49446\n39478 65660\n32324 63144\n5733 45491\n69109 78399\n17484 95481\n12704 75564\n33579 59341\n24677 50981\n2840 32658\n8673 89292\n8587 84513\n26061 46611\n5412 36130\n36273 36917\n10556 98334\n34088 55945\n22180 22683\n8976 88485\n12098 45704\n95179 97830\n19274 60168\n47412 84603\n1421 40662\n10271 30795\n47157 49945\n8252 33698\n27932 46756\n59081 87228\n32378 35223\n1367 98592\n5295 54959\n59045 79895\n5662 18629\n42197 94866\n149 95034\n83529 84384\n28414 74518\n68382 75983\n29252 85938\n44288 63450\n41235 62972\n46381 85039\n8392 69074\n15587 50249\n49645 81248\n18156 26814\n54757 98635\n8487 27436\n17151 81486\n2548 27716\n34882 82030\n631 9513\n25705 64761\n10199 47069\n58491 73256\n30088 91125\n10770 77023\n80215 98083\n28636 77419\n49021 59356\n62474 83588\n10656 87115\n54561 78074\n2611 60835\n11970 27930\n82595 88070\n45599 68363\n63388 65213\n28213 65272\n81601 89135\n65184 68562\n35105 99200\n2024 76808\n14428 89614\n41268 55740\n17562 33563\n3924 84503\n27747 85141\n31970 53039\n12257 17578\n49973 93870\n60835 72111\n6857 27878\n43032 88396\n68791 76101\n10590 59421\n16787 31769\n75204 99569\n4031 14775\n39984 59884\n3805 84864\n5369 40880\n3408 74067\n63290 68506\n34441 76422\n60618 72784\n6923 32590\n54978 91121\n40523 99712\n25327 97140\n23434 29099\n4611 96276\n30996 94219\n40577 88351\n2080 14291\n16166 95211\n37060 93619\n43706 89428\n46986 82807\n36336 90910\n5853 20961\n43877 84303\n46951 95189\n17304 50275\n10274 12325\n83823 85325\n37961 64737\n35241 74375\n21351 51176\n11014 35778\n6037 76614\n12978 48184\n41789 89125\n21479 43853\n13905 30998\n24112 40675\n16919 90827\n51380 67042\n3667 95662\n43920 48429\n24272 52373\n53378 90642\n43585 88049\n2153 6689\n84104 89410\n51278 72162\n4573 93594\n20697 84005\n58827 68412\n30646 86262\n55885 70841\n14139 74472\n7213 30801\n2089 82104\n8642 55611\n9155 92287\n42553 79147\n25144 62853\n29659 77471\n7642 42640\n29864 66843\n7722 38564\n7070 96233\n3033 33495\n19591 83599\n11497 95389\n11192 76846\n38355 92740\n30583 36616\n36807 66855\n34220 85398\n12909 67385\n24782 93706\n1980 34159\n61401 72258\n15486 22293\n51803 68856\n4441 6065\n6101 18718\n51308 88794\n10054 16943\n15521 50225\n14336 68511\n5292 91215\n24297 71573\n70640 84709\n45069 45571\n69253 73275\n3669 31808\n44527 61355\n21716 88121\n14025 38823\n56528 84303\n20880 32432\n14891 59279\n6734 59144\n63334 85136\n41156 78373\n15552 26041\n38644 85747\n44205 88150\n3610 67498\n92682 95911\n12101 25551\n12785 89303\n29887 77193\n8277 73119\n78266 92234\n42130 93114\n13261 62407\n90457 92188\n3969 68509\n46657 95020\n38454 96859\n48571 98562\n3512 61635\n55750 89520\n42355 86007\n29892 39000\n46538 71151\n42768 67021\n46155 88006\n879 58330\n12100 99706\n42859 64454\n11171 39555\n71040 76222\n13942 17337\n11685 44136\n78568 89494\n52944 88541\n48413 64769\n52143 79112\n5106 18485\n78172 82419\n40075 78646\n4323 61654\n13811 57792\n2887 24793\n2071 25509\n14241 29024\n15283 81031\n51242 52816\n69396 95595\n32508 92239\n74630 97208\n36361 39810\n62050 98949\n15194 94264\n44986 91351\n39208 48483\n61482 67297\n2242 44559\n4164 33058\n56299 80381\n3945 7748\n61950 93030\n13491 15596\n33248 38277\n74518 76585\n57293 68807\n52885 67511\n5460 11787\n68880 75015\n59230 73391\n17431 63070\n72138 73681\n216 39116\n26033 27218\n14070 81385\n20098 63312\n70927 90512\n28313 49376\n15694 84312\n10629 62285\n17295 25889\n57512 80296\n60860 98041\n662 49873\n5626 82344\n5665 77649\n97142 99393\n48215 56753\n71725 91553\n12820 62959\n47360 63040\n62718 90712\n2490 9519\n27498 63534\n62760 93594\n223 1247\n75172 84803\n41354 58696\n60586 72203\n25409 93449\n22464 26264\n29188 32737\n22608 77343\n7418 44665\n41774 93135\n74284 91602\n8190 73718\n28504 76498\n75415 97321\n29760 56347\n48084 64647\n55676 94955\n37536 89268\n19127 25804\n6763 11526\n84866 96079\n5790 19180\n15283 82544\n74115 83349\n3021 70862\n5724 77966\n935 42745\n52403 79005\n9987 18295\n2454 87808\n92415 92688\n29801 74106\n9306 57017\n15589 35526\n61671 73741\n25003 71028\n9641 75462\n14047 80856\n92519 96638\n11053 44130\n55657 99890\n45549 80855\n47172 83835\n45084 53974\n62610 68861\n12030 82674\n61188 95225\n14526 44930\n54965 72745\n24997 45269\n44727 54143\n3566 29404\n21644 28596\n8203 63074\n35446 67803\n12209 61572\n33725 64863\n3115 28248\n7109 10381\n37107 61914\n22874 65913\n24589 87407\n35770 90034\n59857 89767\n22466 70766\n28130 93133\n64344 88759\n25542 76701\n3305 66310\n26606 75401\n59047 90489\n69642 75172\n21615 57001\n4756 48489\n54464 94899\n45121 58329\n6192 79904\n60132 88501\n68398 95650\n41202 41232\n20833 94705\n20948 93706\n25594 59367\n34881 53309\n28588 98809\n82307 91132\n27405 99693\n24820 72938\n36464 76673\n618 82348\n12978 93360\n18273 51330\n20211 68651\n25985 65769\n41750 42508\n61476 80421\n45734 68100\n27282 93573\n64249 69397\n73819 76878\n32501 62368\n52198 89735\n22426 90336\n43315 51022\n16246 43890\n11524 30668\n74337 79990\n22694 40545\n57696 69801\n4073 70749\n20599 84186\n13287 83347\n49165 66471\n13207 56257\n56290 58060\n69731 94096\n24952 36568\n34514 41589\n41349 87931\n21471 85642\n67447 80176\n32141 77109\n56732 73422\n32957 74243\n4628 38034\n20853 53701\n42789 88779\n38257 91988\n16462 96764\n65313 76212\n48704 76405\n5135 25281\n62909 82163\n32939 65051\n59462 90707\n10462 14534\n27936 74567\n28131 34957\n25526 29757\n24952 84749\n56637 97601\n73281 83357\n15984 21885\n1906 17583\n48628 81589\n4273 23363\n20569 77571\n57624 74909\n78855 82138\n55301 77878\n64148 88170\n13349 15556\n49428 77186\n70706 88512\n3021 87927\n45659 59435\n63751 76600\n29367 62344\n29581 40221\n28208 39475\n37388 62701\n73862 94269\n10095 79691\n44000 63655\n23488 78686\n22168 56788\n31686 84919\n22216 62058\n95709 96140\n5878 86088\n53321 72929\n51956 81989\n19849 84596\n20062 49528\n15361 49750\n22860 31767\n20854 86852\n45848 60498\n15868 73823\n25787 92178\n53854 55994\n32329 58774\n37332 93188\n68712 86929\n43798 63916\n22853 40010\n49833 52421\n59274 75472\n19130 89440\n41689 63057\n24918 94212\n77010 83708\n30125 66530\n7087 20909\n44848 67762\n27963 33805\n31307 36834\n29374 48718\n3417 58084\n21194 90460\n9122 35175\n51070 59323\n25463 44791\n17446 41402\n16153 63541\n35075 86734\n68989 72280\n21027 95659\n12152 54973\n29417 66244\n6946 78772\n65297 88301\n65319 68007\n37865 99965\n72631 78727\n23812 69370\n45787 47159\n2729 66831\n12889 80635\n7169 15265\n39094 58150\n7634 76942\n65112 82168\n87886 99476\n2842 41152\n21876 23465\n33993 47004\n16132 16697\n97 48678\n82048 88965\n41096 48986\n3170 57295\n584 25359\n4563 26501\n56740 85816\n52042 97483\n46541 93792\n20257 36968\n28599 53831\n31796 55021\n35817 96034\n84816 93003\n27453 38655\n10343 60290\n4828 84311\n21063 76030\n85365 97283\n69405 96784\n52876 96874\n60359 80726\n19074 87542\n52786 62427\n19423 51516\n42830 48238\n11569 35650\n38648 54015\n18251 78737\n7399 66132\n47360 73594\n44478 47513\n19153 37606\n67670 84860\n5048 13588\n49081 90149\n18512 52385\n4879 58631\n1943 13334\n35785 83171\n28412 57098\n63490 71846\n16211 74449\n22859 84448\n43896 46739\n38570 56374\n56582 60124\n44648 89363\n90970 98871\n19254 55556\n46552 77929\n42297 67016\n36498 99338\n55467 60061\n36952 49426\n12452 17762\n25833 80912\n28857 92306\n1439 18943\n15042 89107\n13693 47244\n31260 36096\n2411 90370\n21982 53285\n47337 54202\n54179 89682\n67627 88605\n1046 24539\n46678 91534\n78046 96363\n19587 67885\n43305 93320\n43104 71870\n67956 85563\n58350 58528\n45446 64331\n14268 43254\n45580 76992\n7055 16098\n17024 66056\n79903 82832\n18895 59795\n80157 97641\n20950 98429\n80368 84072\n35221 43656\n17395 94706\n31117 58866\n31870 47679\n30113 40368\n32344 73599\n39017 80354\n8550 79105\n24295 45077\n33956 46269\n1206 26107\n6157 44784\n12615 42775\n8259 79106\n10743 38145\n7770 88502\n13246 57093\n66029 77100\n12275 29663\n22957 44894\n55518 83496\n83698 85438\n52553 63238\n41575 57521\n41959 75500\n20066 56665\n6520 71521\n27709 54748\n15254 66451\n34045 42717\n2487 36573\n2247 39399\n6010 39759\n41161 88618\n7188 52117\n34078 42574\n4474 50347\n24088 48321\n35656 58017\n39823 69094\n40424 68984\n25163 32554\n11125 33051\n75473 79959\n75012 84335\n18258 28514\n69660 82231\n21150 68957\n69664 81108\n26186 81891\n12421 92859\n35464 44187\n35285 59513\n41697 95397\n37717 95040\n16099 47203\n27121 47401\n96095 96936\n34903 92106\n31807 76302\n38468 62527\n48528 61008\n27406 67756\n5562 19551\n57484 95995\n49903 58719\n31257 56884\n26391 36224\n22961 24739\n62149 84120\n78262 83099\n65620 66275\n53848 65639\n14054 48151\n57149 82504\n37287 83113\n53907 74538\n38612 43461\n45565 80538\n63569 91616\n4988 38850\n47024 65438\n72672 97974\n5927 21648\n35413 47715\n41074 65009\n52308 97460\n19132 68518\n21952 67906\n78501 96400\n40873 70357\n56784 79583\n40104 51393\n10049 12056\n3988 81986\n28479 74462\n48419 77407\n5804 54172\n51727 72121\n4946 34766\n17292 60239\n8016 59646\n38838 50606\n16303 90625\n15907 89605\n78634 91693\n48381 85579\n684 90398\n43415 84440\n65842 73145\n11830 47570\n39324 86876\n11838 83878\n39516 96732\n7413 32302\n5177 28148\n40326 64109\n37440 98215\n70374 73824\n59344 95798\n44075 44999\n2753 51741\n5314 38422\n7950 44390\n28419 68330\n20079 37367\n44932 63359\n22637 46849\n53458 80802\n12235 43002\n10754 11185\n40326 82852\n12605 28143\n573 10262\n18319 54177\n36079 53690\n5030 68508\n22300 99162\n46965 68945\n26449 32973\n38589 88299\n3745 36782\n34159 47246\n81652 85055\n32207 35373\n22124 70542\n1665 11950\n48131 62670\n2834 98306\n11690 16438\n45524 60032\n14493 22827\n25534 78959\n78509 78622\n57367 63344\n8207 31392\n73816 91243\n52601 72379\n23746 78437\n38973 39807\n28967 73905\n45095 93981\n42209 58979\n12072 50664\n63454 90334\n21283 47594\n52452 65194\n96512 99317\n29658 83392\n4366 82823\n2563 6954\n5940 26155\n7799 77699\n43767 85895\n5020 41567\n2572 95275\n21293 43967\n21958 29836\n18091 20041\n23599 46107\n13539 14721\n54606 99650\n42596 79595\n63378 99832\n5910 13473\n24103 70713\n25212 94863\n65436 83320\n20931 26192\n55457 70751\n55616 85532\n64777 82249\n3219 63522\n22 55337\n62851 62970\n69849 94438\n862 86402\n4980 8817\n20866 52149\n36899 81726\n5275 68495\n14322 97814\n56628 62387\n46059 83828\n19188 63028\n72185 73033\n32804 83508\n40092 53551\n93667 96741\n80167 96944\n3811 27014\n20132 64502\n39097 55036\n7553 95605\n19765 55613\n56942 84321\n54360 61970\n27176 47376\n31176 41925\n27466 86270\n66926 92868\n38827 83948\n8937 22105\n27878 68780\n27641 96323\n30360 57706\n48038 79151\n55191 99115\n54622 99319\n46116 92290\n20644 42387\n29515 45346\n8860 90861\n66553 79346\n9212 91882\n4924 96875\n2573 33759\n12897 56402\n37261 53574\n27779 85772\n18431 64870\n41329 86174\n24408 71928\n43708 92838\n93602 97927\n41021 77551\n32267 86923\n95599 96420\n4937 84402\n20553 23810\n20526 22815\n35051 94276\n76688 86514\n8484 29311\n25305 88678\n46287 74579\n29749 73753\n8091 16542\n77359 78898\n77974 98382\n76926 95333\n41475 74368\n21699 28233\n11045 17422\n47617 82173\n62194 76406\n69658 99265\n44919 63689\n49229 93343\n75175 88384\n75021 98233\n3 99865\n25789 34151\n34133 66665\n51861 86638\n22151 30714\n79798 87330\n1313 7734\n20560 30219\n12780 49935\n26740 80644\n133 64354\n21010 56548\n21617 43765\n8486 82054\n15915 95397\n8986 94624\n39725 56099\n22901 97897\n3639 76032\n44396 54916\n51822 54960\n48196 67144\n154 23077\n48020 72180\n33049 53899\n47642 53749\n4064 24445\n35396 79307\n38002 66306\n11230 24165\n4263 76919\n72919 82495\n68810 94615\n46936 66451\n37978 71847\n17784 80118\n4322 12278\n57564 90758\n75475 92543\n63670 79662\n51818 57296\n49830 69435\n32327 63056\n8822 24119\n48803 49060\n43510 80608\n30984 56044\n19728 37206\n2423 10732\n42473 58010\n46385 55233\n56298 61968\n22835 84162\n53936 58500\n11946 86442\n31240 57809\n4163 87988\n37664 83182\n15618 35157\n40044 97225\n49723 77721\n44094 51768\n53910 59388\n35888 98659\n34765 88770\n28077 49612\n24882 43287\n17750 29014\n51497 59886\n9786 63774\n1747 31752\n8771 32958\n38769 44517\n10792 93939\n63429 86418\n46545 55541\n51554 63944\n62909 94316\n53885 84511\n50131 75574\n7891 46376\n9619 54384\n33409 62625\n20432 47471\n11288 32171\n32067 74171\n36371 88905\n16399 70597\n62315 94240\n76088 90830\n674 15710\n57302 66391\n4975 75753\n33840 64676\n55531 64668\n29453 84068\n55494 60114\n1666 32997\n52670 84454\n63223 83730\n2931 96883\n26482 31112\n53130 87920\n11996 22303\n14394 99013\n72203 80109\n18545 60823\n37672 98649\n85474 88343\n17238 69371\n20163 33385\n70602 75289\n26228 58393\n71638 85764\n2990 94370\n46860 74896\n34608 35196\n3296 31518\n7056 8799\n9676 89239\n95136 99919\n18907 23316\n35842 80806\n10517 98944\n59312 84627\n11770 20800\n25287 46857\n83188 92146\n9392 71224\n70705 74647\n767 26914\n52559 98747\n30001 48985\n22576 71870\n12317 25831\n4255 81381\n66056 68953\n30071 36624\n39747 71805\n52306 84876\n15885 86927\n12113 23848\n33058 70117\n46384 53969\n32923 38903\n44042 57744\n52667 87363\n78258 99253\n2590 50329\n40766 84840\n30954 85781\n5794 43516\n44081 73779\n6173 80472\n4279 97875\n46185 77662\n50438 92462\n16782 66289\n68164 72422\n28910 66711\n59504 87084\n3875 82497\n28510 77211\n61792 63591\n19344 36870\n14611 85474\n24353 42887\n71281 74438\n34870 93017\n52667 83191\n21994 89946\n23511 69404\n45764 61976\n13067 18360\n57029 87734\n86083 88781\n13025 50604\n12314 15408\n42455 46652\n32398 84807\n22039 49929\n10281 63717\n67388 79039\n41548 86915\n31971 60945\n43876 80196\n87997 90557\n1624 12195\n17392 58498\n17918 87896\n73527 77121\n55247 75495\n65145 68931\n29695 93127\n41304 87994\n15489 73011\n21306 25410\n13737 56066\n58755 83814\n13330 74677\n28736 64077\n46826 58560\n33198 96891\n57355 72236\n47124 80887\n29397 78329\n37056 89615\n22085 45462\n12461 53502\n8394 35920\n92769 99134\n3551 47395\n24060 47343\n54126 73215\n7316 14469\n34843 44152\n4399 75868\n61647 66667\n43544 53104\n7376 50354\n18095 24246\n934 19892\n18675 50138\n11003 17713\n16521 70418\n16713 80672\n23113 60315\n27107 41560\n72964 80505\n4324 52889\n28829 44777\n46806 60689\n49804 73587\n48625 67706\n76609 78485\n21208 44029\n3966 50655\n14684 63563\n50978 87384\n9191 49212\n61888 77132\n93156 93311\n63577 72325\n48824 68440\n83326 91265\n41180 82682\n39006 49536\n16477 48503\n54131 79057\n41706 58035\n44553 88863\n38339 96527\n5006 89482\n13753 74095\n662 93158\n5761 74667\n54756 73666\n67064 77041\n69660 85613\n64390 65458\n66400 78036\n49500 97122\n5300 33608\n75608 92418\n5807 21567\n89014 92675\n22880 23338\n32509 56200\n83220 99181\n52964 95238\n12055 39034\n14368 56856\n51931 78079\n24562 94038\n27449 54004\n61198 93711\n25280 76645\n85245 86335\n45318 61491\n30496 31086\n36958 47853\n50995 60585\n11725 46681\n60222 73091\n29459 95310\n33541 48884\n11243 21376\n32022 87819\n11069 41452\n14250 41122\n69881 75896\n29284 71517\n13878 97420\n69321 81428\n17437 49295\n92468 94062\n9427 88071\n35088 59811\n42089 85925\n11820 33794\n61934 90074\n54928 92210\n37757 97067\n35277 58728\n24456 37028\n56532 83339\n529 42097\n11409 33003\n357 71029\n8196 62874\n7936 89108\n29583 58720\n6592 21262\n974 86835\n7905 64220\n6165 34937\n73349 75344\n48234 55146\n27260 89909\n20090 45815\n47482 96705\n45228 91107\n56288 58996\n56334 64451\n35347 80297\n83300 99561\n50269 96988\n35310 95887\n27244 83472\n25098 83718\n1775 37125\n31060 74409\n26798 45867\n27748 97533\n9831 56920\n70874 76337\n20058 98567\n64992 71381\n51402 69637\n53070 90015\n11207 14477\n28910 99211\n15218 45147\n6070 25141\n30422 81840\n20957 59035\n21161 60160\n1207 42001\n18242 49649\n56173 98141\n74574 83052\n9533 72926\n71616 94271\n716 59988\n32329 66979\n33111 50016\n15409 68265\n27469 54131\n37024 93521\n83538 92146\n38962 87054\n23471 68731\n87356 92357\n84221 97236\n13544 31595\n25709 77325\n15299 55297\n49611 68993\n18487 28805\n56004 96114\n40632 47326\n3526 22926\n11353 63825\n82616 87365\n50820 62025\n9732 18634\n19530 34400\n35802 45075\n11279 34377\n50167 57810\n27008 55807\n83804 86279\n2380 92784\n66547 79365\n700 49161\n11230 53609\n33117 47478\n27428 59625\n51650 59474\n52896 99852\n39514 95603\n9672 73595\n29079 51971\n3056 56628\n41936 42993\n23480 90713\n62328 72870\n36465 41766\n25614 73307\n73419 78052\n58647 93966\n14316 46560\n27088 75162\n26442 81842\n62768 97156\n26501 61206\n30158 41606\n74170 77484\n30026 48061\n10740 43197\n20481 36057\n70834 75155\n22038 32571\n11010 13845\n61481 66174\n12464 77977\n61433 93382\n52464 86755\n16814 90824\n72210 87142\n38783 46243\n9752 52400\n22153 22939\n12130 77422\n16447 82278\n24530 66242\n8576 67422\n79825 94706\n48965 90569\n67113 89221\n22474 57775\n45883 71709\n61249 74844\n25364 66238\n5055 17690\n51253 93991\n39679 55243\n16547 36800\n35285 53604\n63877 65108\n24708 27486\n50162 90037\n13670 28562\n912 70306\n31681 94465\n32734 91316\n5614 12702\n35705 57184\n30466 74113\n72160 74336\n44045 45469\n24839 66446\n36387 45435\n65941 66912\n28071 36577\n5782 97299\n51744 71557\n11593 71368\n32062 41017\n7769 31400\n6233 40504\n38263 88225\n57179 87409\n52899 78868\n74579 95737\n83471 88181\n2256 43003\n21529 83601\n89492 96847\n28217 52174\n23815 85019\n24268 51239\n10375 18451\n13405 24739\n19457 29419\n63321 64139\n41662 64059\n21437 61584\n12622 15772\n49285 67527\n7773 45186\n13444 51087\n26566 63546\n79184 92524\n3348 99338\n28264 47176\n49987 55684\n53935 74405\n50888 91688\n89908 94211\n45923 65028\n13235 20824\n40198 63265\n12627 84028\n4493 6272\n29693 41631\n53866 76652\n34452 92965\n79383 89123\n89303 90454\n17537 59900\n54490 89264\n81489 98996\n55660 79216\n11204 77956\n7203 37240\n22464 86433\n69651 88873\n26659 56467\n22800 86137\n67899 80561\n56860 58699\n40897 83427\n49710 70718\n24218 94423\n20557 95563\n60177 77572\n34088 87949\n17018 91485\n2574 15482\n44647 68557\n32722 77439\n59027 93872\n27525 33295\n11272 40793\n12749 14278\n22040 51731\n47839 73621\n4544 49027\n22758 85406\n53376 57195\n46195 81372\n28891 77519\n23552 88708\n37093 54726\n6278 49911\n57419 80476\n3406 72225\n39382 44105\n18685 80868\n49593 95055\n43223 47105\n70981 90432\n10875 61042\n62382 88201\n63865 71777\n58555 88803\n65663 99474\n21107 36393\n14207 81089\n31356 69392\n75255 77528\n90206 97880\n26563 68042\n2347 42290\n39031 98451\n34582 51033\n39618 49373\n93918 97568\n65338 80119\n4593 66941\n44410 80091\n53171 83969\n17003 20081\n29526 30363\n14755 97886\n17066 96943\n22539 76234\n21381 52272\n44290 59044\n12725 89184\n86030 89030\n58056 65043\n25697 73221\n94240 96758\n8690 92161\n26059 88535\n92088 92597\n15940 52304\n3756 76833\n37643 86247\n37735 51871\n23332 81937\n20999 26874\n34454 81907\n45968 54447\n65308 71416\n61760 90181\n72749 85286\n7972 41700\n21769 33466\n50545 88272\n58509 96664\n11678 75024\n59402 62778\n57440 88058\n11708 81657\n28652 44907\n34737 71780\n38292 40586\n73062 84258\n6828 57810\n43472 47794\n32632 68289\n20798 73909\n78423 87215\n64473 81200\n2499 13464\n62230 99782\n1906 26216\n39935 88368\n11213 32058\n56562 93030\n22096 25662\n50116 64094\n54455 86288\n44431 87407\n19077 92213\n32283 57471\n68784 74516\n3230 37143\n1028 85434\n15833 44685\n60648 69538\n2385 16681\n63835 95991\n32528 50743\n4845 86164\n61433 82720\n50153 59913\n37837 75348\n26354 45671\n8783 81759\n33608 70257\n16122 52831\n740 10199\n8449 19743\n74305 81548\n47092 64929\n57627 62925\n13321 36367\n21339 91557\n46099 98145\n26081 94859\n7826 62221\n46307 67154\n30556 41882\n34705 82091\n28302 61845\n54465 64985\n48814 68861\n11160 45379\n21212 41858\n38363 79945\n73532 89517\n58653 74691\n44712 93448\n43589 90635\n66717 70198\n54504 75151\n30263 98096\n45348 87999\n7233 81505\n7764 85351\n67295 96855\n8357 29725\n57140 98224\n3437 7917\n17825 38149\n48482 56003\n27496 80898\n66971 90953\n48393 69002\n8829 85702\n54427 95832\n20482 46918\n49046 88458\n61281 63915\n47261 69027\n29814 88596\n414 44948\n47639 76050\n1155 23743\n3232 9563\n363 47727\n30421 99150\n67817 69623\n4314 95649\n71332 95850\n15009 76070\n23146 87200\n23512 80056\n69322 74633\n1673 11454\n3587 55197\n51177 51505\n19827 89688\n5943 56584\n26563 56257\n27258 83734\n4500 7596\n42258 68260\n28402 80374\n44758 83830\n67905 71995\n23928 71048\n48459 84269\n1326 24561\n20575 31402\n9366 84601\n6919 49143\n18568 42778\n74362 88551\n4001 59742\n90381 92247\n21210 44204\n12815 38620\n34227 73905\n11063 86069\n927 41359\n80668 95870\n15202 92580\n9302 30861\n23447 96099\n29778 63341\n75985 80866\n54067 97504\n5252 41577\n41959 65545\n16559 90769\n6804 68389\n22324 61263\n13159 31686\n10802 15604\n74362 80486\n1634 13456\n69260 99283\n27160 34131\n94110 95812\n88337 94584\n12358 58734\n41353 84438\n2 31616\n32207 77609\n65876 74585\n82389 91804\n36468 49740\n56343 58914\n75607 93123\n19380 43733\n18293 90910\n56831 60421\n21684 23980\n46107 56742\n50877 77603\n41560 62179\n24999 93332\n11570 59773\n75917 88231\n10345 47250\n22397 60442\n26630 81150\n14201 79522\n39193 89451\n11703 15411\n72187 88608\n12796 61343\n24345 97622\n4859 58744\n30936 65616\n57735 86008\n24948 85490\n3045 4539\n28912 97371\n36087 38888\n43891 69988\n22869 83016\n7733 64679\n85426 86868\n52801 93391\n6098 44108\n10822 43494\n49683 80986\n77131 98944\n23483 75866\n29635 62349\n22461 82613\n66002 80124\n53228 72179\n39281 61529\n58752 70906\n71147 92299\n1738 64953\n30978 58415\n11728 14784\n29045 81108\n40096 90975\n7595 96397\n16970 63932\n27225 94400\n53542 75289\n62283 97743\n10032 93294\n6339 41308\n17065 88122\n83338 99188\n53152 67762\n15413 28340\n8493 92206\n942 94398\n40407 82815\n41886 73102\n41248 82257\n10096 90291\n57845 65862\n70827 81019\n80547 87480\n5497 36085\n46287 78002\n76011 76472\n69416 69678\n46463 82509\n6619 47047\n12903 70302\n44361 46795\n18471 24400\n76766 92275\n26139 44230\n21216 31867\n19136 95561\n44458 79171\n25535 38344\n42793 51578\n49202 71696\n3762 65378\n38879 40841\n8478 94446\n41704 61432\n12789 85657\n64944 99528\n38870 43963\n62804 68320\n59017 62213\n5988 58444\n27914 34303\n23446 53707\n8836 44203\n84247 97276\n32629 65665\n31877 96933\n398 33524\n47552 89159\n10220 57009\n30280 88767\n73798 93579\n61396 82082\n72167 73525\n25050 94677\n28985 29496\n79353 85157\n51150 70191\n4963 56459\n24467 68671\n98531 99687\n9663 29499\n90501 98177\n52443 87634\n45847 87216\n1849 76894\n57582 67252\n70627 87658\n25111 80756\n28600 99523\n27919 73505\n25140 92360\n39389 78629\n10615 96917\n12005 23429\n55327 67770\n53447 75128\n13364 47301\n8927 19112\n68649 75638\n52122 71598\n36950 38214\n10904 63347\n9245 11995\n8517 44547\n48911 50940\n810 20740\n24208 31505\n7070 68522\n2447 23210\n35683 89903\n71561 97062\n15903 31878\n3174 69852\n16187 97625\n34063 65451\n40470 61767\n23858 56660\n25431 93647\n74976 98390\n90004 95763\n77488 98503\n10385 27981\n70940 94276\n27648 69861\n52826 95101\n47066 62576\n42213 95835\n9806 56069\n35040 46744\n6600 20910\n7893 78476\n75682 87153\n607 30823\n35554 86232\n22652 42544\n37275 70316\n2084 40369\n30484 58867\n4248 99654\n38166 53695\n29270 32023\n47446 88628\n27998 76311\n51644 70944\n12351 77435\n969 61570\n4708 94194\n45630 57593\n24865 98128\n17143 74072\n42111 98363\n54832 81743\n14879 91142\n10827 13717\n35737 73953\n64495 82344\n62574 94745\n15958 32918\n16140 67710\n7013 97491\n36 48863\n72 80376\n9926 42982\n22942 95381\n2010 68343\n53123 84932\n20242 31728\n5893 15262\n21997 62242\n53918 86811\n4169 34218\n18197 19946\n12138 54346\n55321 74432\n48579 66040\n15697 66815\n16646 38860\n26958 65586\n5938 47493\n30442 82642\n3684 41200\n15715 96041\n27005 45286\n16666 57755\n65979 81679\n33982 61350\n35888 86337\n76900 78816\n53629 91680\n23616 44721\n10685 53859\n35122 65606\n13816 58691\n27148 99167\n83686 93794\n7253 38649\n60537 70439\n70884 91643\n8854 77832\n311 22596\n11842 82980\n9311 48132\n5825 71059\n11010 86953\n51670 78007\n24595 49688\n59314 63078\n65346 88954\n48950 53500\n1849 42518\n6983 46828\n35638 89272\n40026 61496\n35708 37709\n23359 71040\n27728 51735\n5043 48556\n78732 82555\n10160 18542\n27243 72337\n64705 87043\n52450 81205\n7102 94963\n4044 33542\n4490 95875\n53203 83575\n27396 43490\n5400 85471\n19211 54049\n44233 94559\n28273 94569\n10182 27698\n47857 91038\n7675 44174\n42718 49029\n45507 65745\n44913 93106\n41556 94505\n65204 69330\n39127 86061\n9346 93737\n15546 61046\n14155 58649\n49900 93481\n3796 50749\n38163 55036\n18338 23367\n58970 97511\n64222 97444\n33 40787\n64285 95381\n4435 80773\n2228 19989\n36598 55797\n2359 10167\n66371 71122\n517 97267\n14968 45419\n42382 50403\n81291 96805\n11883 82975\n23816 65545\n40711 99535\n2661 68291\n51395 77987\n7951 50284\n12134 12673\n18230 35508\n19044 35611\n83128 85843\n33774 55348\n32797 60025\n20035 91480\n10898 88851\n56258 76140\n49555 76774\n18443 82807\n44573 46137\n488 57896\n4681 98896\n35470 50906\n32711 49382\n4198 50175\n31111 80757\n76092 80153\n26101 56985\n12773 35283\n94105 96939\n3576 56400\n53697 85417\n20651 71897\n43248 82224\n38715 97024\n55930 60750\n34425 37878\n38021 61193\n16577 49222\n5704 92177\n39911 74619\n18159 28471\n27420 34625\n33593 44781\n13749 72712\n18014 39728\n3000 75624\n68198 95216\n42829 73930\n16529 58906\n54823 59331\n68301 99025\n173 72923\n60509 73841\n14603 22430\n85483 91033\n68210 94693\n84159 88451\n79024 87990\n10160 64180\n36364 55747\n33047 68007\n28048 38965\n60706 61041\n47986 71390\n31321 37342\n24760 34816\n14186 49771\n49841 65355\n23736 31984\n37352 72315\n44088 84906\n53407 78244\n2505 82975\n2671 60480\n51454 96589\n33430 94625\n5608 77192\n3329 93744\n22892 42289\n17907 44315\n4720 61123\n3158 7138\n6315 23853\n9926 60904\n10592 18770\n4332 13013\n42206 42452\n62127 89091\n31887 85465\n47743 75005\n6665 34917\n1952 56807\n46657 73602\n4727 24640\n66214 79165\n46596 79753\n38717 61176\n67612 94622\n51848 67213\n33165 73859\n29236 50964\n38150 58215\n46531 83726\n40862 98592\n5495 80511\n15949 16683\n62896 83657\n21347 81579\n37036 98734\n10796 47807\n30034 33657\n52349 99296\n9678 59277\n25615 79665\n7424 57141\n4311 25255\n35468 73295\n68382 94315\n45518 97363\n47112 88296\n666 39574\n19242 33615\n5284 80950\n24245 96906\n24999 37983\n93435 93828\n27991 70704\n3099 20050\n223 46479\n2576 29825\n16770 73568\n6279 37560\n47760 97430\n57325 76881\n31828 74045\n28107 95459\n14619 83097\n29550 54563\n35176 73582\n328 45777\n1951 12591\n28174 85761\n7263 7686\n47665 84515\n15045 49158\n20573 75652\n11453 36744\n30506 41881\n31642 91262\n21934 24598\n21932 40604\n34850 63148\n18229 95527\n87768 99098\n69340 90896\n12192 42919\n9940 48023\n33051 49902\n29330 49603\n67626 90979\n4373 40843\n56276 86841\n23701 37007\n51538 67212\n796 11959\n38445 77143\n84425 92730\n78605 86179\n5148 54659\n54608 91481\n42002 59259\n44030 70866\n7309 91345\n44881 91243\n41470 78991\n85131 95696\n74537 79827\n53557 80406\n39888 94433\n47417 57231\n24605 47734\n24911 95448\n77758 80479\n18411 19734\n11857 85796\n28741 68872\n23093 53367\n7179 25693\n26410 91192\n49302 58199\n61577 76782\n44171 91464\n70658 72319\n28612 78047\n49835 61708\n52158 73584\n28084 48232\n60859 96346\n12201 90823\n25738 65387\n70880 84466\n60012 83315\n1585 65267\n7529 76708\n19927 91304\n30098 50853\n39717 99510\n3616 31209\n4253 4988\n58775 79594\n8616 63093\n21544 64736\n6863 82520\n42802 69931\n2909 3448\n51676 75100\n52617 56345\n15920 58754\n59333 99434\n15349 40653\n8383 97086\n38227 85050\n29204 37711\n11257 83083\n72286 84274\n2836 42728\n28420 83399\n41982 55583\n38931 93141\n7632 91495\n36259 58084\n51955 90889\n14692 49004\n49608 98552\n58415 72647\n71163 89109\n74904 82662\n85926 90572\n6808 76705\n22582 52430\n50143 55160\n24919 96372\n9818 54093\n80999 84154\n42683 94583\n23399 72269\n45265 63249\n288 48601\n21846 39799\n30392 91068\n30609 54554\n4632 99334\n38911 66862\n26533 59978\n45024 98626\n32087 65154\n43464 79968\n11033 39773\n12772 97715\n43782 69655\n49180 75844\n6759 49704\n12826 37491\n92875 96184\n52376 69806\n87206 97011\n75760 78123\n41969 90046\n1553 62684\n22764 95036\n51044 82614\n59130 81569\n46856 78533\n2486 10363\n54449 65837\n36856 50611\n1735 6014\n51360 70850\n18168 39238\n78958 92882\n46300 47347\n62653 67225\n3273 24199\n38134 73059\n37026 64209\n36139 81120\n2524 83612\n13822 35905\n10624 58403\n51275 62469\n2126 55047\n47202 51131\n8486 60067\n13207 84122\n86701 91248\n69376 74530\n5462 92457\n67765 88515\n11808 86168\n580 64822\n22497 70287\n8477 94530\n74900 86628\n58858 86026\n48856 66404\n74297 96325\n35725 69589\n9395 93820\n15977 72472\n9913 84306\n18541 62717\n15934 24412\n44274 91840\n71767 91009\n18194 43903\n5837 88837\n52054 58766\n25308 94039\n15626 86336\n10269 35115\n2122 6513\n23365 99119\n35643 85667\n89929 98571\n37171 88505\n20299 88087\n9376 74130\n79375 81475\n36806 42858\n28182 28449\n87665 90404\n26134 81247\n16396 43262\n60375 87090\n28007 77927\n4392 59791\n15658 77685\n57828 67716\n2846 86107\n24712 77337\n23135 87882\n28519 70347\n30531 82445\n52940 84828\n414 76186\n11808 75791\n14958 42156\n386 51570\n16464 46519\n21559 52365\n63088 89730\n23687 72499\n67984 96467\n38556 66108\n15917 44326\n39628 84852\n13267 38601\n34494 89584\n2212 63594\n3792 97211\n12660 88110\n9358 89706\n1611 47104\n34445 67750\n15668 99976\n44530 56259\n14141 90153\n73708 98224\n3637 57410\n14740 43024\n12353 60820\n11263 41210\n57320 58912\n24438 76932\n16437 70933\n37025 50728\n18316 22320\n9676 24771\n19748 81239\n21404 87558\n57914 71195\n38299 82706\n25520 64384\n28549 73807\n57191 62473\n1074 74301\n25682 83462\n29818 99706\n60311 86354\n40238 63477\n16073 76240\n21091 38159\n6118 25790\n59604 84820\n9160 83814\n17962 34122\n2854 81714\n77970 87260\n50016 78697\n15345 94971\n35160 66062\n30639 89054\n60024 95484\n83863 85018\n25152 38380\n33458 93728\n16721 73080\n16615 88099\n34919 39697\n16827 52934\n30964 44869\n1351 42366\n73876 79722\n67032 76807\n8375 49175\n25732 40852\n34825 39827\n29846 43272\n31693 62509\n55015 97372\n16081 97704\n44066 76413\n21937 85260\n28006 78010\n38947 88821\n25440 79025\n47915 58362\n2842 99311\n66033 76242\n16689 83273\n10578 82655\n41428 92621\n39857 44160\n42997 74463\n12202 14026\n70876 98558\n46201 76611\n49606 68247\n16814 56789\n1970 2179\n19372 65273\n25978 72499\n58469 98064\n55483 89948\n1396 43989\n33538 81455\n11317 68518\n25312 31309\n60464 66726\n4011 49909\n1987 47689\n48925 97377\n20911 60011\n63686 98438\n66695 99734\n11853 39267\n60440 68285\n11631 80180\n11869 29575\n49903 56238\n36171 42537\n41193 98430\n26798 73038\n36466 90027\n4535 26793\n4093 81567\n63694 66556\n52026 73081\n65296 92665\n26666 36292\n8076 83166\n3632 57642\n27287 89740\n9437 69152\n74462 81124\n37640 69862\n80936 90972\n44499 94109\n23860 99963\n14251 82871\n94917 95768\n52684 95595\n9487 64423\n45604 64600\n59604 86486\n55268 98359\n30813 89210\n26336 82785\n28360 76176\n14322 37985\n48700 67376\n25510 32730\n14630 95833\n43857 75613\n46472 89985\n40915 64279\n47140 47708\n24658 61181\n71192 79751\n48668 69492\n7472 94279\n53753 93981\n56358 84742\n35124 99609\n15808 34843\n38345 60178\n34031 54959\n10088 18503\n24249 70278\n48045 99272\n36047 71776\n23704 31033\n63608 98600\n38924 49789\n10960 82992\n15424 83694\n28762 58262\n10048 65999\n80540 99321\n77709 99386\n1004 23692\n28720 45036\n10350 45559\n5116 24645\n21474 58501\n23218 49953\n3043 32047\n27841 32372\n88312 94919\n61399 62163\n28788 35425\n47744 98142\n46847 50841\n15017 82076\n73354 93318\n68754 87219\n69895 78276\n47830 66899\n33862 55073\n8913 58978\n3962 56032\n5671 26105\n94486 98181\n6445 72390\n30341 57393\n14664 28513\n66935 88248\n91425 98627\n32422 74652\n14191 79898\n29123 39408\n49806 93685\n69439 71339\n49631 64742\n6793 65180\n17057 87103\n2761 82608\n5164 71578\n44328 54150\n67792 90362\n37124 94269\n20120 54005\n36205 51010\n54273 54654\n41110 96670\n10060 14275\n48850 60012\n39940 93431\n39801 74843\n29061 41335\n64224 75857\n65877 78907\n71740 79470\n49518 69478\n76874 82580\n19432 58512\n37764 63655\n67679 87949\n58099 65081\n19599 81126\n19335 62507\n21286 60165\n13112 72298\n35578 67618\n72507 99438\n7836 66228\n39781 53861\n41694 85153\n7233 63779\n60007 73194\n28251 49702\n28503 62847\n9782 56497\n19830 35034\n75425 75678\n41856 71190\n26419 42292\n29760 59688\n69607 75487\n12497 76219\n36694 90330\n25997 35190\n37676 58733\n92065 94194\n6139 18719\n18711 34362\n72104 76286\n21941 87359\n70186 90810\n2997 36231\n4447 85280\n30899 82694\n45718 76086\n14360 18577\n90644 98553\n14155 46946\n60227 71368\n19208 56041\n60084 75777\n55870 66435\n8866 38646\n19946 51379\n11052 60493\n72467 94659\n52772 75471\n42631 47618\n36623 97826\n8245 19687\n11776 41839\n42883 55093\n7860 74892\n80722 99311\n34830 44887\n52774 69387\n68363 97315\n40006 85625\n10269 54973\n21522 44676\n12098 33862\n63350 81797\n46740 52745\n10940 95270\n6932 65401\n52183 74842\n34642 51459\n22497 53138\n35712 64271\n14801 15167\n85140 86757\n29003 70704\n57531 72818\n3599 72588\n43591 89049\n33582 75323\n14652 76964\n30384 88633\n1321 88547\n11987 15630\n43590 82877\n68272 75788\n5063 42735\n36753 67725\n1988 38591\n31699 33785\n42202 78326\n18172 93289\n38578 89778\n7086 46338\n13561 31126\n26283 62504\n30454 33142\n34522 52782\n35166 74023\n77526 97750\n16696 81091\n31709 90378\n9305 76321\n1527 51967\n45437 91835\n64397 92304\n69841 82261\n35690 35735\n38418 80427\n2487 59902\n16905 54993\n46875 91558\n22874 87720\n53472 71563\n9461 55944\n97031 97149\n61303 89552\n49403 51528\n82278 92340\n25823 66649\n22179 64077\n64942 66220\n20703 74278\n23485 42867\n99392 99966\n18926 65302\n14631 52532\n6055 88456\n17931 66708\n19186 81086\n58230 78622\n12448 45183\n21429 79217\n22705 50262\n48204 68311\n3506 15095\n43348 70824\n9713 37573\n36600 48320\n5916 92729\n33340 88139\n41922 55088\n61122 61544\n69971 94528\n26121 69207\n29157 31524\n75560 86305\n23263 83617\n71883 74729\n89753 90897\n69640 77297\n12343 19199\n11296 87083\n8618 40912\n22096 50142\n11668 41308\n19408 66887\n8669 58035\n68466 99675\n5469 20131\n35248 57485\n73886 77142\n27746 50874\n21005 67502\n51315 86524\n25566 62068\n19580 44868\n53522 86040\n36186 72589\n48118 68528\n54025 92669\n2500 29046\n52595 77571\n13721 98401\n34354 49105\n67268 71482\n27413 90425\n80363 89093\n15416 45929\n30625 63086\n83840 90895\n40603 55639\n51048 67668\n47583 55581\n50901 57068\n32208 44430\n17415 73696\n31316 98903\n42057 66288\n46888 67572\n28497 32852\n5420 85117\n23219 29516\n84675 85625\n11062 51838\n9302 94793\n64927 83969\n62532 74979\n31170 40895\n31879 59973\n59351 61207\n6478 84966\n71800 79293\n10383 65805\n30261 45634\n21628 60822\n2533 39991\n4277 52085\n33045 65875\n67112 78070\n48623 67208\n17166 50767\n21063 49573\n54891 79445\n47305 50461\n12911 30640\n28723 28822\n24134 52688\n45322 54760\n40854 98713\n8968 52198\n29090 69882\n60077 97221\n32572 73446\n59530 68179\n11371 57965\n2693 96512\n14981 74437\n4294 53669\n46809 83006\n29136 51475\n37718 58619\n30608 90390\n44773 71921\n405 92127\n49582 92014\n11823 22343\n51128 88778\n14247 54139\n11897 78837\n24864 85689\n25924 27282\n89472 94650\n33661 74061\n7796 62007\n86394 99214\n38052 70588\n52135 66806\n30963 80653\n38356 65868\n38670 39697\n40910 84541\n65374 81332\n26915 88873\n5576 86647\n15578 33839\n77541 81432\n31542 79365\n1587 75589\n41251 85517\n45387 47714\n20625 74704\n24581 60843\n25738 86471\n25451 92921\n7506 17567\n15056 59660\n15772 46614\n11873 75401\n54284 90664\n81497 96895\n54839 62656\n6623 85518\n5039 25216\n21071 65191\n805 92503\n38249 83269\n74281 78702\n18909 51629\n35190 73541\n83435 86266\n2803 72518\n59579 96403\n21794 97437\n82631 86868\n62218 78975\n23237 65442\n63290 98751\n10546 75699\n48570 64410\n1796 49870\n4899 87137\n14552 58890\n15615 18280\n85364 92864\n72187 83564\n26919 60799\n16741 87345\n6272 50233\n57033 58237\n57753 82886\n1861 34125\n57624 95602\n70551 81364\n54401 54663\n27172 95572\n13738 34892\n38256 57208\n51639 80663\n71000 98279\n711 40924\n964 42174\n21454 65898\n37208 80125\n2350 61582\n41187 48022\n74507 93493\n47985 56208\n7394 57138\n22645 73735\n72516 89771\n7006 93092\n62726 90679\n7761 96431\n27829 55541\n8514 22084\n34474 67361\n96467 97375\n7104 87814\n35128 57411\n4240 97753\n2475 21195\n407 7192\n73151 98341\n45347 48129\n17058 54371\n57450 80023\n41004 59120\n67877 96358\n66217 67302\n30711 83223\n2829 17112\n6608 43478\n39436 42851\n15138 38222\n29940 57249\n33272 50109\n12123 81336\n20865 99461\n27488 93054\n29803 39821\n49953 93580\n966 63256\n11051 85601\n58867 97936\n11075 89131\n13721 39740\n33307 79938\n36951 64098\n33901 84538\n72556 93461\n25150 74132\n49112 61998\n17959 20050\n57814 66678\n14949 38695\n53330 70192\n5531 14775\n5815 41903\n22552 92042\n16389 22159\n12630 77627\n59238 91368\n32312 70105\n38117 49338\n53377 90560\n19675 19851\n14801 56211\n52587 60190\n58379 94686\n85205 98928\n11374 22121\n33721 38056\n34364 34856\n50800 76246\n81452 95349\n29301 91914\n32085 47780\n6190 11608\n24759 34333\n15319 50760\n2929 14264\n40588 88770\n6566 39120\n2041 55241\n30202 63081\n73624 79378\n35404 55103\n30332 66550\n25168 92434\n18896 63531\n22529 54706\n18612 64400\n58636 64573\n14055 49705\n38229 59745\n68527 85711\n8142 51053\n80312 84581\n16104 43397\n27115 76978\n30145 44996\n39876 55519\n33555 39996\n23412 39225\n64536 81345\n41234 61202\n10000 14184\n835 5202\n2562 19158\n79645 97059\n83553 87093\n13262 82576\n83448 84719\n1539 84668\n169 85387\n60351 63988\n37608 88461\n11344 95718\n5683 14187\n12968 25385\n49053 56688\n33307 96241\n38226 82645\n36854 46285\n41803 80896\n15449 57078\n63849 64649\n64937 81978\n2247 42771\n27058 69737\n38194 89341\n47348 52361\n57042 80088\n59247 70372\n53369 54198\n7181 54729\n4143 92906\n20761 97552\n12038 58317\n73789 80331\n57926 84862\n41014 42666\n52760 68903\n64949 67839\n17556 27525\n37572 92733\n9577 76851\n37743 48187\n24734 60129\n16795 77952\n40162 56448\n13337 93136\n16402 59959\n60300 90420\n83638 92647\n27660 33646\n43737 72603\n22909 38288\n10576 87066\n67340 78971\n83930 97305\n24923 39905\n49571 97421\n41495 77504\n19231 51738\n51955 60924\n92678 95361\n18642 86257\n2627 34226\n40850 76353\n28922 30788\n44583 54777\n3678 70820\n33561 92788\n58856 72330\n11256 58057\n68433 83421\n60251 88613\n4396 78674\n24795 43697\n44304 65501\n57493 58072\n31743 64835\n18538 95210\n51064 74876\n65793 71782\n19689 63686\n10578 24273\n64070 95479\n57721 68614\n72809 82600\n81312 81482\n43072 88125\n59897 73068\n2106 18058\n58086 71991\n8820 9843\n46143 76889\n9005 73326\n46919 96714\n24177 66764\n40282 80583\n27569 74163\n25084 25226\n7900 99294\n12487 84376\n24164 66250\n16400 78835\n7245 83429\n17955 26554\n28379 34024\n9592 59195\n21585 52380\n11561 37478\n44056 71882\n79560 81394\n7085 73871\n25440 60375\n77069 96671\n22596 86367\n41142 91114\n39963 40394\n13824 92597\n35086 37479\n18878 87409\n73838 89925\n29949 59520\n24569 55788\n8266 18890\n43267 44034\n8898 19324\n42907 95700\n62862 87707\n25716 76567\n52212 98519\n4868 68845\n51830 69076\n2362 93898\n9831 84956\n43360 85519\n16149 25225\n46247 64766\n3333 21010\n4686 8475\n44808 51567\n67929 98495\n41674 97484\n23262 51359\n24605 37154\n36122 58358\n9731 12255\n43439 55714\n30817 77246\n14622 55879\n20719 53508\n49175 49804\n48133 63853\n14387 40808\n16477 97446\n14375 20012\n27345 27900\n6198 97610\n36871 66832\n64456 95133\n1145 76910\n33532 70423\n53995 74922\n18498 23992\n8084 89291\n5880 25418\n55247 64906\n73144 79685\n4083 74997\n53135 77090\n2170 64857\n43073 92226\n11450 97220\n52599 87187\n30170 78357\n14142 36691\n10028 72381\n5583 83222\n58649 64274\n6109 56661\n58045 58162\n34457 41106\n433 45253\n26442 75585\n78439 78549\n40967 73565\n97992 99906\n7835 86868\n43046 56045\n48446 75677\n21142 69052\n21206 55041\n60869 90830\n19227 89069\n19728 59642\n48426 62070\n23369 72893\n21187 98659\n26069 78130\n38145 72071\n79876 98385\n45663 75849\n31058 42348\n55887 79796\n2333 90327\n57328 72293\n6376 31671\n17749 32911\n39436 90039\n4868 67823\n38375 73735\n83116 96523\n27039 40068\n44582 52334\n7059 21862\n53781 62479\n23504 27114\n5225 45295\n57089 68526\n25919 38371\n40970 57225\n50104 54121\n56315 89139\n35337 99532\n30224 42143\n7955 27370\n19307 60684\n18541 35528\n71223 80042\n23248 56479\n21039 69755\n11341 40205\n22924 67388\n28518 72033\n62830 82696\n52482 85978\n68860 95464\n5998 14646\n28057 33604\n43996 83577\n21074 86245\n14090 93825\n24318 42568\n31050 75014\n22619 37806\n11172 34091\n17241 69622\n3955 30236\n55924 63947\n71619 92035\n23271 49897\n19046 90981\n30844 37293\n41592 70148\n4973 13415\n82233 83006\n38530 90525\n11678 33286\n36340 66630\n10372 46318\n13603 46944\n44941 73493\n28018 90771\n22868 70112\n61644 98309\n2921 41802\n10492 22751\n42111 49279\n15097 52585\n35919 39191\n8108 39794\n37639 63041\n18971 68182\n25444 44267\n16305 51069\n6660 29298\n42011 75865\n13282 38047\n15397 21206\n14979 59406\n77611 96186\n30800 31425\n47964 58893\n35947 93421\n34189 57557\n82335 95925\n15039 46342\n57348 76650\n38307 74463\n15986 40941\n11789 42171\n24036 35796\n32032 63938\n18082 41825\n3073 31993\n3951 48889\n30583 41381\n15742 37337\n77584 97911\n76830 81835\n18318 31724\n87034 99553\n35403 79232\n31925 90755\n71805 97104\n26813 28259\n20740 25256\n39209 69794\n19621 34399\n17995 58983\n12627 58803\n1449 33981\n71616 85704\n48165 80073\n40148 59003\n43419 47573\n47261 96448\n14455 94921\n24115 30609\n2466 25310\n51851 95093\n56633 72179\n6342 48653\n26862 79748\n41198 52793\n42947 60025\n70821 84606\n6768 38662\n19723 23315\n75750 97375\n84087 90045\n37070 47692\n29437 49928\n54603 95661\n77469 95501\n16681 47055\n77684 88542\n2497 15244\n24896 68698\n10116 24776\n31815 59703\n50815 51659\n27325 75717\n33252 59570\n55753 82974\n35583 62453\n15922 97123\n6699 92100\n93245 94214\n1721 13039\n4200 35678\n69883 82415\n3232 16062\n22424 52401\n18925 80973\n30553 33756\n83806 87825\n7523 62463\n1869 86473\n39328 83403\n38280 76436\n932 78790\n43240 68455\n27075 31899\n9546 55836\n6244 62725\n8457 60973\n88328 91990\n8202 75541\n47128 54508\n36007 76908\n65254 70632\n14001 86015\n53465 92256\n76917 94373\n66713 92399\n62870 73238\n9354 20985\n38167 43355\n6991 27131\n31613 93147\n7120 20893\n9990 22440\n2717 23773\n7633 57282\n30173 70577\n88078 97727\n2067 74235\n51401 55446\n42091 67032\n36526 65472\n61247 78756\n26201 43001\n7137 90603\n79902 91095\n6720 13873\n13986 26732\n71023 85861\n3608 98246\n86385 95153\n44713 75815\n27324 57345\n42347 57124\n41282 57713\n16090 60098\n11047 50993\n2438 69641\n41402 64002\n39266 55492\n34276 65036\n50750 67849\n6606 18312\n24697 79286\n7212 43905\n37576 43109\n12168 21030\n25434 88618\n45509 62305\n48068 88090\n18772 40722\n22700 58248\n52033 69040\n45769 55240\n32331 78272\n12727 77923\n13856 44371\n6897 61385\n18241 66992\n21915 64957\n6088 79175\n36823 65075\n8329 16086\n28209 29714\n13759 76378\n50726 53520\n5326 20932\n64843 99348\n53949 98793\n25021 73681\n7151 24001\n39733 66325\n87 40964\n42959 47306\n21769 36838\n50991 54535\n42044 59025\n14453 30102\n5974 55556\n873 89653\n50537 83911\n47442 69174\n14831 29648\n17725 67827\n1959 64224\n31050 59713\n16927 88200\n7838 86758\n77071 91305\n22971 37509\n2245 9785\n45195 57145\n34173 86069\n17592 17663\n32768 76086\n52160 87918\n6643 16381\n57406 64931\n42150 79952\n22020 61638\n33301 49254\n80299 89409\n21688 52723\n39455 76746\n66810 88348\n41920 51344\n53040 99460\n26571 42980\n58872 68381\n75468 99537\n38590 55053\n41333 61421\n34179 95918\n35190 45366\n32866 49360\n2429 40179\n8470 59317\n57332 90321\n50265 61392\n71230 77239\n38667 57940\n65594 81703\n63284 94240\n20775 58581\n13670 22947\n82372 90587\n28849 30169\n56423 58543\n24464 45248\n39990 84538\n38163 81566\n41360 97168\n68210 78045\n16466 51871\n13104 28352\n33982 37084\n76661 79950\n20471 25070\n71726 72498\n7972 98713\n26182 28839\n22776 57192\n910 29906\n1779 49353\n4355 39328\n62618 88003\n10045 35640\n30510 66768\n64401 96230\n17408 37059\n24703 68193\n10145 52195\n57874 85636\n69289 73969\n35603 45927\n36771 50626\n714 46821\n58811 94989\n19473 96231\n14869 34449\n28287 95087\n3231 41365\n42925 60264\n7579 48528\n8876 96574\n20081 89740\n49405 52820\n17195 21366\n52087 61203\n9809 53201\n74691 99260\n39886 60253\n15856 88722\n46573 73561\n6570 9513\n70819 79754\n52357 73567\n11569 97428\n54298 93358\n21654 67677\n73216 83317\n46599 62876\n66100 68931\n7978 93177\n29993 81657\n35644 48826\n26578 88553\n29236 52777\n52846 69955\n64814 79624\n83525 94578\n24713 75093\n86719 95919\n8760 73591\n53227 70157\n11647 52191\n55262 75448\n3006 21116\n42441 50872\n43807 72907\n610 49963\n17084 67209\n6459 21094\n13100 86350\n40482 50219\n27157 67904\n40397 89139\n14384 51555\n34289 83905\n36050 80306\n48147 69865\n32511 84715\n76368 95178\n42884 88844\n47670 57227\n30616 51723\n16677 24475\n12925 64153\n43214 61614\n72158 75752\n11183 93838\n5962 82990\n90711 94092\n773 44100\n40842 48092\n5137 58282\n6577 59275\n18249 56699\n29217 81308\n25784 83033\n5905 59401\n4798 32826\n78541 99453\n22415 36979\n38855 91987\n22530 63217\n4998 95788\n75890 98279\n27154 71224\n8118 44179\n29159 36798\n40478 52130\n31339 46917\n86468 90108\n47927 90441\n67590 96344\n10889 97370\n799 62460\n24120 39865\n4889 61380\n26245 77684\n17159 91380\n30453 99911\n21348 63413\n42993 96000\n18422 29732\n40314 71975\n46657 58611\n65938 68297\n51073 66055\n26582 65227\n1389 59119\n9895 66533\n53436 89381\n21674 89946\n84139 90711\n62688 82260\n79325 81300\n20543 74607\n15473 43420\n4955 71838\n5083 52514\n513 34884\n66439 75001\n20004 55251\n13929 19931\n48402 97868\n85134 86918\n51695 78161\n25713 47786\n8031 60464\n33131 51666\n17502 52460\n62666 76716\n47445 68044\n81234 91148\n2260 44774\n47314 66419\n2209 93884\n25971 72865\n18117 99418\n28255 55557\n13137 85207\n26205 56313\n32501 96842\n4925 26105\n41190 52423\n89680 99237\n20596 96464\n22470 90719\n35205 55988\n50447 55738\n35566 68169\n64726 94243\n62523 99955\n711 77251\n10413 82745\n15647 64957\n81072 83573\n4967 25666\n65185 73748\n68725 96666\n47713 90164\n52707 53097\n22662 50112\n77616 80815\n33498 88409\n66855 92749\n2969 73155\n41822 68407\n30618 37914\n25451 31645\n65270 70568\n86642 90866\n29811 99650\n11270 65374\n4945 96208\n18068 79367\n41659 86351\n32029 50152\n36112 43759\n53671 70511\n10483 42557\n48143 64456\n8018 60628\n77561 85744\n63466 68004\n56390 60873\n53847 95056\n29154 51039\n39798 69092\n16415 54282\n61656 87529\n73320 77595\n14703 83368\n2324 13319\n36328 89506\n54768 74043\n35680 98661\n27099 46368\n2264 2913\n38961 94833\n36949 73602\n7435 56070\n46881 91637\n32942 46415\n52443 58882\n18000 74440\n18718 38504\n18515 50678\n945 55966\n7491 77321\n1995 55695\n4348 23998\n53680 74611\n39473 40182\n11565 52815\n50974 72269\n79897 82967\n22147 42491\n47082 95273\n19547 48768\n4960 94710\n26210 58192\n3116 51329\n38292 83220\n12827 26842\n38555 81506\n2675 9323\n7244 91832\n69880 72506\n14293 92337\n4430 7715\n26782 77767\n10027 57443\n57637 72026\n78602 82429\n57356 66493\n62931 68998\n53907 61874\n40038 97901\n23890 24019\n30444 33906\n25402 99860\n2378 95203\n54649 96135\n65398 97044\n72331 75382\n28030 50628\n27652 98853\n19924 52523\n4648 53764\n48855 77779\n18338 64645\n27593 80769\n79877 97225\n12713 70028\n45985 53387\n54768 92014\n5598 96997\n21248 57087\n363 64343\n18667 39435\n36237 44632\n75297 95187\n46544 50746\n22411 45252\n17420 54255\n1284 69687\n62 10092\n24785 71425\n52487 63298\n30961 49478\n16848 52108\n31326 78977\n52455 87080\n17845 46808\n42816 92799\n24526 30866\n74685 84899\n3401 68272\n35840 66281\n40962 60817\n849 36628\n9048 22097\n42166 60946\n50483 92960\n31853 78689\n31618 45846\n60765 80483\n2133 32835\n47097 48970\n20281 73545\n45247 53317\n94325 99687\n51098 73193\n7491 92128\n61794 65845\n5477 22154\n2551 38908\n9715 68829\n39172 78866\n61002 88390\n47788 63705\n72366 91364\n56356 59324\n65244 73543\n17266 39333\n28882 82168\n63909 99572\n13527 96800\n44957 66257\n43074 49698\n19448 27607\n18494 63117\n51613 54304\n1018 80249\n18147 28207\n22887 60757\n9825 43495\n9749 27655\n83785 84188\n78102 94901\n72889 76925\n61139 82523\n92424 95444\n26787 97890\n10163 18896\n21846 51722\n87542 87580\n24118 74198\n46730 56398\n32088 99256\n38802 97439\n17074 58277\n67481 73113\n7211 62015\n9848 34931\n49942 65433\n9502 55268\n27516 27740\n17174 43247\n44384 77595\n17782 20325\n106 5857\n16866 89253\n78357 91101\n22751 37761\n34399 55710\n65958 70689\n39137 62153\n5362 43648\n26960 33425\n65145 80450\n40418 54062\n59328 88041\n34398 65895\n56225 70617\n932 56413\n58840 94203\n4916 81646\n10512 68241\n69435 72953\n34318 72991\n63299 70412\n35296 83029\n51212 93672\n1535 47710\n43081 48822\n35987 75182\n83506 92681\n14069 71164\n80550 86435\n4077 65035\n58130 96607\n38159 52806\n67038 87879\n56705 75151\n65649 86761\n53418 87358\n33436 61303\n27167 38022\n13486 51110\n69872 70058\n15253 46384\n47439 97674\n5184 93606\n29686 72673\n8667 89992\n20827 54958\n3945 42011\n16325 48620\n41632 55672\n31352 54294\n54536 83912\n8129 34425\n46780 87505\n39399 58150\n62522 92278\n34358 95692\n64468 81149\n82728 87336\n73615 98410\n70961 94052\n23325 59427\n28363 93791\n19670 41312\n36308 79200\n14477 32643\n61709 65004\n34668 64722\n50813 96275\n11244 84382\n17369 62491\n21192 72225\n12849 49953\n22106 97963\n33210 89315\n16115 18015\n24046 32332\n62653 86559\n67629 75274\n38764 64909\n9280 59816\n20263 60654\n5241 56776\n80391 89617\n20642 98564\n45726 98232\n41139 58137\n19907 85893\n18496 71734\n60292 76658\n61477 98717\n22063 69995\n45617 53053\n67219 80790\n20521 68301\n55701 80765\n47037 75312\n25983 99783\n46039 71903\n43037 57664\n35101 58928\n18151 92217\n426 77572\n11744 28930\n3966 32533\n15949 93202\n22044 83477\n48847 89752\n49394 80510\n26031 87245\n69757 93120\n16706 61604\n23567 95049\n21955 54795\n44090 50118\n27065 31519\n16896 45359\n34782 92123\n45873 56293\n23363 68198\n46066 76826\n38692 72420\n95165 97324\n3661 17295\n16055 89811\n53872 81854\n30014 43502\n54228 98277\n25682 99737\n51564 70441\n3263 33557\n56429 58977\n38006 94795\n30136 39805\n26772 47504\n28414 99534\n29519 79348\n22430 61715\n6359 44077\n16406 96188\n15634 30169\n27232 77924\n20774 61755\n12927 66772\n40421 71767\n42485 45985\n4073 21379\n4197 79748\n25152 89011\n25952 63225\n42912 85235\n50967 62777\n75426 94373\n27473 92384\n42869 46353\n51687 82817\n17102 38608\n8207 9875\n52153 59565\n46094 81249\n805 22324\n36628 43832\n20071 42712\n42983 71053\n14788 58165\n44652 85694\n55341 79625\n35977 54968\n2055 12858\n11866 63682\n4372 35964\n46407 89070\n40122 76322\n24313 37565\n43138 61168\n68421 98391\n7046 92433\n26760 65508\n40686 83003\n50937 73944\n58601 96248\n5948 79493\n12327 69061\n67048 80816\n16190 25016\n24751 70655\n67088 67680\n39944 67193\n50072 58682\n26965 45254\n5233 84292\n91536 99024\n10147 82139\n35327 36671\n80241 86851\n10612 43005\n22123 24123\n70715 76321\n49676 97080\n43291 43973\n5113 67598\n5302 77252\n1328 1362\n12876 87038\n6043 89808\n37896 78926\n90252 98084\n65156 96649\n66391 77961\n5171 60074\n1489 72321\n18760 88824\n30261 53248\n32973 71709\n2372 30730\n21000 85197\n7404 22483\n61651 68307\n10787 67332\n31629 67613\n10333 82944\n67376 69122\n9355 57810\n67427 79438\n11130 43189\n9477 32089\n2407 37117\n10910 80314\n81373 91846\n11497 35899\n4003 46158\n51616 93456\n26075 34942\n11043 45837\n29663 66995\n5522 78677\n34399 58534\n59299 64016\n11431 16407\n4787 53892\n28803 39391\n9221 35112\n26224 70282\n40015 61963\n1272 74614\n14021 76780\n11540 93755\n775 75851\n69831 79676\n8272 15953\n62384 73336\n3820 9100\n21428 98640\n5860 68897\n20341 69262\n31787 73146\n26616 63329\n1971 66240\n44329 97847\n6546 42811\n45278 82164\n40931 62666\n11068 92841\n6327 43540\n28259 99245\n10293 91226\n46856 95263\n28566 53740\n61157 72832\n73249 78134\n79402 83546\n31837 35339\n54467 86045\n42159 80419\n573 64820\n18889 37682\n25795 78759\n56464 63433\n10360 65715\n43130 79272\n84262 87365\n54451 82612\n49600 51567\n74264 81953\n62397 71434\n6360 43682\n27078 95370\n65272 94748\n46818 77385\n55475 76074\n37633 86667\n19343 82459\n23353 37295\n54921 79574\n20629 20727\n29543 81769\n44130 90932\n12024 78925\n53306 79766\n46481 98983\n31578 69563\n60785 61570\n3857 83802\n32389 71994\n20124 99266\n26835 48741\n42474 59571\n56358 99640\n34939 96170\n69714 93594\n10046 75837\n81298 89032\n43387 97831\n26162 68574\n38332 67766\n25011 65640\n94495 97246\n66716 88443\n32182 55138\n25053 47851\n23136 63249\n3842 27096\n54301 62727\n46169 80576\n4168 79424\n74759 98908\n31407 32480\n16630 78623\n55596 77734\n19597 82865\n7370 99173\n25578 47318\n86205 88864\n3606 37077\n8596 44287\n50771 60079\n27661 85253\n27807 97668\n30725 43306\n29659 31273\n6959 16810\n21321 77809\n2475 52313\n5217 88742\n86985 98797\n37732 67956\n18172 50261\n32279 62874\n9612 12054\n13248 56786\n31779 43655\n3226 76171\n5976 21471\n33625 72774\n19890 52856\n11730 58640\n25409 84694\n38078 48326\n60710 67009\n30737 93791\n1486 76693\n3448 42505\n13021 53555\n25849 95248\n24871 97891\n44888 63590\n13839 66916\n27828 65370\n55445 82560\n18144 94973\n88003 94416\n7246 84851\n24893 95124\n13210 75451\n90017 95258\n27287 85194\n63110 83512\n59 22496\n17064 98586\n17434 24523\n26415 96730\n6251 31803\n77047 97950\n88865 90027\n82751 95729\n34689 59352\n2991 19222\n51395 80265\n19704 78542\n1552 17003\n10835 36542\n25988 44722\n34670 58844\n26606 29922\n11842 50310\n2194 75019\n72609 81086\n31243 73065\n45102 58583\n60991 96073\n26935 51495\n25211 65485\n17613 68233\n6429 15210\n23423 55818\n31968 85243\n8312 61211\n5251 93956\n37741 88222\n66091 84471\n337 84897\n40383 60408\n1086 35235\n16760 68791\n25896 67310\n51826 80423\n96898 98714\n66668 97791\n24006 81212\n64979 90245\n13241 44434\n25762 83702\n7322 72704\n12178 70783\n7537 92271\n35416 69268\n59888 91207\n90920 94501\n17546 68060\n86971 92227\n42324 69679\n15567 81925\n22679 49869\n36710 38188\n61059 92860\n46607 76798\n21792 35763\n42440 52311\n9778 57598\n40926 81464\n2545 27759\n26174 43116\n36278 78623\n60406 68091\n41752 67695\n43356 79721\n56525 70709\n9600 60306\n19760 48700\n20171 83552\n59121 77166\n23265 32010\n8903 39566\n20912 75561\n2730 67717\n72878 77778\n4080 90460\n1893 64355\n20785 55735\n29722 63879\n21798 73455\n618 94186\n59944 75006\n50757 63055\n15986 35731\n15327 81531\n10839 70202\n50204 98293\n37785 76657\n9036 67435\n74338 93208\n26569 61284\n43869 71685\n26391 95101\n10007 87128\n1771 13065\n82079 86262\n6645 45260\n93619 96948\n27177 39932\n66694 89101\n2966 85163\n33626 94511\n87665 97149\n67186 71491\n27858 59952\n12554 65747\n21077 54463\n41802 75372\n21751 57338\n30982 40403\n23083 48478\n34099 94774\n7824 41361\n87595 98219\n3610 86275\n27801 96590\n34860 97773\n63790 81417\n62619 75624\n13650 75125\n21564 94311\n5296 42125\n47690 95797\n22783 71462\n24159 78263\n20523 70415\n62594 84359\n16220 66476\n59401 93553\n41008 87898\n64445 94074\n75869 94206\n3483 71043\n9135 84716\n49989 93482\n18346 95389\n56636 64688\n11820 43182\n9041 41935\n53502 89723\n51082 98052\n1459 88694\n14948 74619\n4560 90585\n62809 99195\n65925 90919\n63249 98480\n9465 64883\n55715 78318\n48263 56152\n31902 62662\n6507 25524\n24818 50349\n60545 90322\n37844 89072\n12870 86364\n28414 43486\n15676 48747\n434 18541\n83941 88018\n40786 42858\n46058 90724\n7685 59282\n15382 73696\n54065 91996\n13372 68523\n48716 96368\n23506 76146\n39560 85507\n30820 38869\n7011 89636\n27321 33312\n91434 97914\n13829 44587\n58176 89103\n25952 78759\n8170 58752\n10506 62508\n61653 75830\n16665 19754\n3102 59679\n49965 61944\n6716 49088\n9950 48893\n46730 81351\n64575 86049\n16155 57976\n45585 85261\n30467 96815\n72895 81685\n2747 30704\n5265 35925\n8074 55796\n71446 92643\n33778 79815\n5474 32227\n11360 35470\n24027 66887\n16830 68895\n12426 24028\n8347 93273\n30708 86472\n45742 92624\n9977 49708\n25685 95389\n35521 52683\n7886 87980\n43018 46485\n5910 87194\n75752 82056\n73228 73517\n9403 34396\n6909 40991\n66750 79599\n13033 31182\n71500 91231\n49163 84141\n13685 55763\n60468 68331\n120 19445\n16066 84125\n29019 65904\n27973 76688\n12723 96608\n64106 88895\n33728 43891\n11629 35648\n75542 78494\n73633 80435\n81349 94825\n62173 92805\n22436 75349\n47616 72587\n56895 96553\n33198 76163\n27294 28875\n11064 46133\n24559 88327\n15402 95722\n69016 71815\n7277 8450\n2271 16097\n67863 95819\n12492 45927\n31098 59601\n32670 41606\n32836 85832\n21152 26705\n47439 88718\n73855 89785\n35812 57625\n27985 51825\n27752 86968\n32373 94439\n36633 45897\n81918 85521\n13292 26114\n55139 62668\n52355 90516\n17055 88357\n39440 59806\n24373 50156\n85093 98279\n68685 85743\n37764 83224\n74318 98388\n14374 99722\n1158 43099\n15270 93826\n74285 85346\n7132 37496\n54685 82497\n32060 98957\n24434 53163\n46620 53050\n76126 95900\n66194 67310\n19357 55923\n16719 96579\n22220 99592\n17253 64938\n5867 64064\n16411 75041\n55788 72645\n38214 76429\n1653 33487\n64324 87057\n22722 42041\n18677 19695\n11608 53014\n77565 94615\n21618 52588\n5929 89068\n69811 91567\n23159 59665\n56761 64827\n14055 41440\n17387 91467\n51579 72146\n36542 56433\n54306 77410\n46895 86594\n4826 85404\n18297 44712\n62673 86986\n40122 95648\n65232 97561\n25534 93197\n3672 87028\n2935 37630\n350 7183\n71679 99785\n10229 35938\n27302 31204\n50636 92313\n71449 78857\n28714 69418\n30290 91644\n8786 31658\n32261 57018\n59618 97608\n75548 81415\n2885 39291\n33582 77105\n9552 93989\n84649 91537\n28052 76531\n45180 62106\n54271 65917\n43007 69893\n72635 76950\n6992 56649\n92790 93150\n19963 87206\n48770 88766\n10562 31054\n8240 64674\n36542 89342\n88493 95522\n21227 23326\n2924 53941\n8068 14262\n44545 80929\n58032 97109\n26704 64526\n76310 97651\n47874 89563\n12099 63054\n51042 52774\n1764 49240\n42636 45444\n20589 26138\n70089 93666\n23496 67262\n40822 67827\n18243 22363\n47141 61022\n35442 42603\n51495 61087\n62268 86864\n15993 87472\n75666 76261\n71974 95106\n66199 93110\n14835 64225\n6413 82693\n46499 88560\n42975 66945\n42902 72537\n11496 17155\n82560 91338\n56199 57413\n31101 87278\n13878 37876\n18989 87616\n10703 95996\n61564 71852\n28511 76561\n27536 76412\n64719 91677\n36676 61914\n7981 82346\n5141 19357\n8539 83973\n53572 61630\n5878 86751\n29741 56323\n7514 59684\n50407 53500\n79344 80592\n33684 85796\n38848 86629\n65198 85562\n13553 73584\n88083 95181\n413 56606\n83281 99905\n74689 78292\n5762 33973\n5999 69701\n59987 60279\n41647 65542\n72016 74373\n1309 85171\n61242 66281\n7195 41664\n54878 77786\n23865 43540\n10864 90260\n796 14153\n72115 84593\n41067 87216\n25714 41032\n16275 54502\n50792 69371\n46259 94747\n31912 61262\n18017 82963\n64529 77600\n11573 80132\n4070 50125\n19877 35062\n26128 69395\n27891 43741\n88746 94736\n59391 86764\n23725 62690\n22535 44249\n22386 77149\n5829 8810\n78139 85932\n75646 97257\n53291 71323\n40819 45369\n17747 26557\n18263 86370\n44580 87506\n14921 63471\n36303 89726\n59356 87103\n67457 86573\n57411 87789\n25096 40119\n28847 94970\n26180 98588\n15466 82126\n18133 89956\n1114 58076\n11071 36973\n1095 25802\n31219 72634\n1598 6160\n28633 39026\n34744 68015\n51034 63994\n48040 55179\n33968 70840\n25248 69754\n32653 97337\n24202 56485\n60644 64686\n34602 46733\n25905 59509\n24136 30442\n23913 31259\n14532 31910\n71690 98823\n8774 98003\n57595 99305\n28964 77908\n61159 76234\n11861 48248\n4313 46836\n7146 16177\n30216 71351\n26636 41794\n3635 65432\n73776 94427\n11878 74789\n17555 51774\n22841 24551\n5926 49167\n13807 44066\n29938 32247\n60743 66369\n22295 26885\n3905 48628\n61843 99622\n86716 98112\n14306 74896\n4608 30410\n726 10922\n84697 99207\n1019 56126\n26415 57491\n320 2405\n4177 98245\n52857 64897\n36962 80459\n7616 50348\n13810 88296\n9313 43520\n35547 95825\n24645 25242\n70784 85465\n12483 65714\n84006 88715\n69584 80066\n38459 70999\n14817 63534\n25237 66300\n38217 52767\n70478 74107\n22559 29264\n3839 30291\n22981 89304\n7983 31625\n55828 86990\n4999 18835\n42235 85229\n4228 96985\n42230 68299\n72054 76661\n63045 71064\n83964 85596\n14004 72602\n1476 91489\n24039 39226\n12508 75751\n52507 55446\n59851 86368\n53344 97357\n59955 70740\n78456 92502\n37752 52782\n10941 23513\n42369 64906\n51864 57940\n11409 58586\n16684 94308\n65398 73509\n28282 63097\n18692 88049\n20680 42425\n21095 69051\n22442 99805\n20653 56093\n37481 40620\n23463 36369\n30163 43470\n82764 98848\n19615 67099\n15037 27371\n14030 95784\n2098 47217\n23481 45183\n62856 73064\n9045 78945\n32759 51855\n79953 91765\n67417 86540\n36388 77681\n3267 9883\n7578 51143\n21701 27388\n67291 79566\n22294 29734\n15757 33086\n14732 26826\n15584 18218\n2932 20520\n12494 21657\n413 40286\n15658 68872\n11155 62568\n12700 83566\n1683 57531\n56848 73506\n27538 99776\n37102 79601\n42114 66872\n24489 51055\n38938 89475\n19489 44958\n43017 62927\n7725 9242\n48393 71957\n23741 91090\n17130 73328\n47662 62265\n7476 40305\n84243 94664\n9315 66078\n71572 77607\n21836 40913\n70397 76098\n25810 56037\n43193 66030\n28203 76201\n3086 61282\n29084 65147\n76662 78583\n5648 28280\n29209 36359\n24229 67824\n56123 91468\n28726 31573\n54250 86028\n4018 8525\n35109 88866\n61761 71961\n49373 62275\n37959 64135\n67527 87739\n23076 60381\n5733 60369\n63930 88669\n61726 69875\n6989 59372\n48991 98778\n2408 5741\n68433 82961\n71556 77197\n43674 96242\n40979 41813\n11395 61904\n5403 9685\n46166 59794\n51469 52543\n44547 82306\n17636 88532\n81398 98993\n16965 33562\n20705 91877\n4319 18087\n17723 19261\n41523 88321\n630 56726\n3357 41508\n9387 42981\n15650 66871\n67544 87421\n11491 93338\n38076 72152\n49493 79204\n40966 71025\n1043 74767\n26441 47840\n39351 66589\n40783 46475\n40285 76339\n7466 85425\n67545 68846\n31777 33296\n3243 86788\n12935 98688\n48028 49879\n54152 70247\n30098 55860\n15238 96679\n2089 10895\n46318 96416\n46395 53579\n73741 79708\n59546 63173\n19056 20169\n43778 49134\n57059 93286\n56533 69418\n39840 71997\n4250 36217\n32665 72498\n39694 74585\n36713 98253\n39857 73666\n18141 58804\n28471 45472\n36500 48657\n39626 87112\n31218 35654\n55457 74372\n14210 37900\n16893 44524\n33260 99016\n33668 93408\n16590 19275\n30532 35487\n20354 58143\n30948 32876\n56182 62386\n31888 68162\n31717 71054\n51050 89163\n47681 78598\n12017 57025\n21967 98356\n30594 57812\n59326 67258\n71638 72959\n50767 99621\n51813 55772\n12499 95857\n38525 93064\n58399 65338\n5635 43112\n7311 25750\n31720 44366\n2085 18752\n18375 56430\n26243 44458\n13693 85608\n55978 70194\n69208 81311\n49823 98930\n82973 84079\n13059 46818\n16038 33278\n771 85190\n36459 39824\n31604 71524\n65963 97107\n7980 98682\n11802 29265\n47147 57934\n44877 81663\n65944 96087\n28192 51048\n23325 32109\n25944 36264\n52271 78449\n9377 96923\n14122 53976\n48416 62551\n49175 79781\n53167 66589\n33999 78305\n14803 86420\n36556 38689\n24572 96757\n67070 69678\n15575 96985\n20916 89819\n33299 73227\n70215 96350\n56938 98853\n8059 44950\n32514 50057\n17898 58336\n395 42286\n24919 95076\n12788 33852\n38562 80615\n47832 53256\n2286 93014\n77187 98233\n71511 80116\n63042 92048\n83072 99587\n22395 96565\n68142 94706\n38190 50593\n47188 58275\n2441 69326\n64780 83170\n15641 67398\n14110 99579\n24023 81388\n32989 97435\n75541 85607\n54439 72728\n74252 74268\n45241 77791\n54162 63825\n5386 72898\n51318 98168\n2493 62111\n15407 65327\n6829 38081\n44827 54161\n63344 70508\n55067 83354\n25085 50692\n83624 97280\n81113 96586\n50445 94990\n73357 93356\n4855 57907\n64831 79203\n32313 92490\n11954 35339\n74861 80130\n32168 92227\n71463 85106\n25320 52845\n17212 75771\n65449 99685\n27625 62392\n31036 74315\n14520 44628\n26158 56377\n7535 31529\n1376 77658\n41112 45156\n18117 59958\n6791 33731\n63680 81675\n18720 68081\n42666 82203\n84046 97619\n76674 77464\n22780 88041\n24607 32029\n9440 43628\n20861 24870\n1563 37830\n7964 24746\n58761 92952\n66112 95110\n6831 48285\n56174 76525\n7020 35689\n46641 89798\n8344 25909\n38399 70167\n46001 57552\n43785 44087\n12550 63687\n38775 87539\n15921 39860\n19361 62097\n39317 52687\n19184 34289\n31413 32623\n32289 32463\n91813 99503\n45035 58430\n515 28630\n43106 88993\n36441 68796\n10136 21286\n16545 26149\n40926 66980\n9628 80181\n41902 90304\n19548 66155\n38167 44866\n14120 86946\n49170 51755\n26507 45200\n22184 71733\n50123 84476\n14293 41032\n979 45609\n10242 71736\n11468 96103\n71795 81747\n10542 76050\n9123 70385\n69609 75905\n35949 83763\n12912 26941\n45295 95932\n23310 41862\n261 59276\n19996 72877\n37423 69064\n36210 92643\n52411 87275\n3899 28022\n10501 41171\n40394 56958\n32202 77855\n19202 72781\n44806 89453\n27487 50304\n42765 63514\n72201 98356\n50068 90766\n33266 70849\n22035 38036\n25923 74635\n23241 62465\n72956 94438\n11676 20222\n57401 76347\n33825 49805\n19960 45930\n57311 89695\n5991 83661\n48287 58485\n5718 49700\n38595 76613\n9860 27909\n62270 89744\n19520 42724\n36993 85139\n68992 93517\n50651 95513\n72543 88135\n14412 38436\n19563 86845\n29584 66399\n77662 77969\n31532 61230\n34431 89082\n65233 81259\n66890 78255\n2829 75121\n12539 84380\n4362 11165\n32344 61240\n11854 33788\n3212 61869\n41788 72129\n69339 85351\n60330 79666\n78759 88034\n75546 86840\n10170 44735\n56846 67596\n7644 65273\n33006 95690\n7172 68437\n10456 98801\n6438 23691\n34997 81465\n16376 24615\n45719 60140\n43835 62460\n79296 99387\n15212 31370\n13146 62981\n80169 89751\n20540 59425\n36182 52562\n1961 80148\n14637 32428\n16563 54770\n26312 51488\n41502 98661\n33665 97704\n25121 54874\n31840 56173\n14759 91977\n24032 70293\n8579 22460\n27502 67804\n75765 96767\n66381 91345\n66347 97779\n570 33124\n27728 43138\n32690 97074\n11183 88765\n37596 85702\n45003 57199\n38068 81381\n41347 42527\n66864 73597\n23178 24977\n51953 98718\n47426 54520\n22347 79820\n17207 17696\n37737 76343\n15224 61174\n34093 57829\n27300 97195\n52424 80673\n63945 93702\n13614 81346\n78737 99092\n40810 52290\n9151 82789\n43889 82675\n22606 65039\n64138 98051\n10555 47838\n57334 64682\n27883 77216\n10140 98208\n23969 97105\n35368 76154\n52658 99707\n55537 67728\n67158 83211\n49696 87414\n58289 95546\n62251 68302\n30668 63305\n65265 86813\n26588 98907\n33115 84019\n34724 55480\n17416 37355\n63638 89902\n825 86971\n36566 57494\n37845 81588\n67469 75508\n5274 37210\n24667 94010\n30590 98496\n26609 95759\n24061 27930\n7641 55564\n37585 47864\n80313 93364\n13453 92317\n14371 93140\n34660 75836\n66216 82566\n25321 51584\n7227 19632\n73198 74982\n15843 81314\n21205 84426\n87810 93832\n62322 68017\n17956 89536\n81921 84404\n28301 92958\n8917 53080\n74628 82295\n51274 59993\n342 903\n59778 73354\n47018 55062\n28154 98814\n17854 53785\n54185 88500\n5224 47277\n43189 86665\n23253 27248\n26552 87503\n40682 68683\n47561 69474\n84573 99633\n45123 89782\n11697 38603\n55682 70519\n2187 37910\n18089 91792\n7745 26614\n73359 96252\n24436 66358\n23757 92742\n7413 80464\n33718 40035\n37314 73454\n65767 83323\n28039 37305\n2876 91263\n31133 78770\n52014 62917\n6855 39722\n3529 91203\n86542 94403\n25040 89937\n28955 32626\n37187 81445\n87599 90558\n70354 93093\n13863 83735\n25839 92441\n38016 71989\n1098 6771\n37476 84420\n59818 62368\n75036 92298\n22387 30356\n45394 81350\n9750 26613\n2371 35307\n22092 35911\n41256 72263\n58320 67205\n38256 65659\n20605 60362\n36700 84872\n19432 66975\n40566 48962\n4241 12657\n11980 14011\n3292 30648\n21664 62842\n21723 33498\n19157 25048\n1945 67908\n72993 87330\n38142 85430\n31232 98789\n41624 77781\n47441 73582\n57081 96467\n29442 82200\n70292 76202\n44619 99779\n19284 25273\n4330 44372\n33709 56270\n7458 51409\n28039 93370\n19875 32557\n67909 91910\n13602 49951\n88977 96850\n5788 21078\n23974 74096\n22824 66622\n20747 84860\n7853 21477\n54441 64434\n7810 89753\n57221 81161\n3639 78010\n11399 53315\n1758 46183\n14383 97166\n52059 69851\n1583 27261\n34124 36780\n61514 83339\n52828 77453\n43239 52956\n47071 52625\n61426 93306\n33977 67906\n19826 41528\n19011 80157\n12593 97160\n20184 29822\n85284 87670\n25947 29460\n17259 75508\n59491 65764\n41497 99631\n13925 74751\n41302 94421\n305 23783\n575 85574\n334 37833\n12826 86103\n57641 72492\n46901 72486\n54300 99118\n59016 99240\n23864 45815\n6644 15225\n20507 35987\n1438 71460\n17225 60063\n12808 98687\n11103 62048\n2128 23766\n73694 97430\n2745 42840\n47056 63399\n44720 87599\n11395 44581\n23449 45315\n9355 32966\n34421 36230\n4383 33880\n331 49404\n60815 93065\n57904 68287\n17642 25568\n4037 95624\n76885 81066\n7227 19159\n25766 94579\n42149 86997\n18572 77187\n15807 62801\n6515 75683\n38864 96165\n27200 95102\n45189 88388\n20554 40086\n21037 45300\n17562 61241\n14579 33055\n3214 4789\n41658 75143\n59 92031\n30187 31057\n30272 46982\n866 79195\n13869 72526\n39744 62691\n4877 66692\n36128 63784\n15466 74019\n40653 85238\n54468 66619\n49077 70659\n148 46776\n44366 70561\n2839 16853\n1450 93421\n8869 77133\n95 95691\n24520 24701\n17644 24829\n31821 67475\n14661 20925\n10693 33798\n44683 57358\n24570 49614\n41225 93892\n36082 65583\n24782 69569\n28243 90395\n27944 57038\n34006 96375\n53834 57073\n3843 90847\n49274 80843\n31607 88033\n47371 79128\n91580 91725\n2675 66357\n13603 29058\n33043 83778\n599 88013\n43375 47476\n63207 71494\n63182 67901\n52277 56865\n44184 98344\n6621 47136\n48461 86127\n23713 51704\n7927 29066\n32181 64093\n29719 87962\n27966 37821\n25600 86906\n48669 66485\n40760 49202\n5280 27255\n47831 50978\n17804 35129\n60571 97663\n10806 58630\n29874 86177\n48483 51663\n49533 51550\n69198 83751\n1908 42913\n69041 82342\n594 31518\n56752 83690\n36397 44426\n25435 54710\n52460 97510\n25934 95371\n76538 80358\n62126 65289\n17633 64877\n70096 87250\n34224 48481\n80737 98886\n67845 78561\n32613 62623\n5133 40785\n77084 91611\n5838 57170\n16345 23761\n65888 92307\n1570 46495\n51102 51835\n12703 63942\n35120 47057\n33128 50750\n23267 81209\n5868 6981\n30248 45720\n52776 71439\n45654 87630\n2853 35236\n1073 78276\n50983 61916\n7985 22356\n14781 34650\n11285 88812\n61479 68268\n23915 77934\n47266 51635\n19109 64845\n17563 90237\n14762 55945\n48934 79367\n59722 71031\n5342 33347\n51470 75775\n23505 36093\n66907 89115\n39311 68469\n1370 91325\n24776 61065\n44907 53334\n74616 81620\n18992 48630\n32425 99080\n1155 54503\n13580 43801\n72077 77485\n10251 22803\n17007 88625\n56724 63492\n43559 91067\n56235 90465\n35915 79164\n56792 71512\n6775 35922\n23994 73271\n8507 87391\n18816 87111\n52632 88799\n23135 25491\n49484 94929\n2651 34045\n40451 75621\n24975 38681\n35099 85558\n16549 33230\n61810 88996\n5500 72019\n25809 33693\n7779 49891\n70280 82026\n16181 92990\n1250 27273\n5170 78373\n10934 44270\n36225 63769\n37325 93281\n81407 90742\n51069 72184\n3928 67164\n21733 29078\n3419 98359\n72409 96479\n27992 88448\n2111 18067\n578 83367\n38350 98232\n55742 80478\n54890 64233\n39237 61382\n28604 97665\n35781 72777\n16707 32435\n31618 96543\n70157 82642\n22488 33133\n21963 86493\n39004 75974\n45780 66161\n11202 28566\n62199 69579\n47482 62300\n10858 51381\n36254 60744\n56476 73559\n7401 10468\n47952 67265\n76513 84494\n486 51552\n35408 67153\n19322 97519\n2038 36766\n73009 91377\n2310 32715\n10913 23684\n31895 35968\n45849 82079\n62271 97765\n14611 64552\n29017 40152\n65408 75062\n15115 80055\n69485 88049\n958 61877\n84747 97370\n30224 98131\n78090 88478\n58846 96013\n31771 37454\n21623 54068\n58563 58871\n40402 48555\n69747 72801\n1945 56500\n65241 66324\n31116 85809\n8702 14462\n25540 26922\n39386 62739\n79762 84591\n21071 23247\n84992 97571\n81301 99809\n20089 42034\n44653 63765\n2390 62743\n43620 90343\n13378 66901\n50706 90220\n53103 87543\n29879 99959\n37104 90809\n8457 15685\n10459 18799\n20112 92376\n31452 66890\n27944 47954\n27653 65261\n13227 64204\n6232 10037\n28233 84382\n54621 89161\n69097 77251\n54714 85563\n73564 77600\n59975 83840\n29427 67020\n18547 24822\n70653 95734\n50317 71009\n4484 81988\n23091 35358\n32778 96474\n27297 69342\n37394 70322\n70108 73074\n17033 85261\n50961 94486\n31311 56603\n76115 95782\n50258 66800\n21071 30568\n19082 27905\n36227 47736\n75818 86547\n57028 96613\n18754 67658\n76569 88709\n12639 56803\n3086 50273\n41702 86786\n30724 38576\n63548 94313\n6824 29351\n52755 56109\n51684 87743\n34453 86108\n7266 69171\n47656 64718\n7800 65061\n62030 78698\n8505 65563\n13254 64843\n16350 37324\n2053 38609\n13427 20532\n2677 56388\n19743 59113\n39947 84764\n68909 72636\n32285 35416\n91798 93626\n33857 78309\n33552 47717\n27480 82721\n8160 9460\n25135 31353\n55691 80935\n18666 65395\n57682 63568\n11733 72531\n68732 72816\n1434 66514\n15200 21994\n20350 93215\n12862 48292\n14118 14654\n28643 99271\n47777 62111\n3371 91128\n6250 92808\n7497 71958\n39868 65511\n90321 98633\n22887 85885\n15652 71645\n56964 94180\n44656 70725\n52550 83934\n72290 77557\n8556 13088\n89066 92611\n30199 40414\n35993 92261\n15829 64474\n50913 93424\n8635 71309\n16091 19728\n46975 54488\n27369 35733\n2583 81834\n2337 83434\n43330 81428\n53030 61575\n33392 59381\n15325 78254\n68941 72509\n51579 54852\n10588 45908\n27408 44078\n35713 78854\n22950 79273\n698 66831\n82186 87601\n62163 87191\n17098 19764\n25856 62873\n27084 53022\n32903 57693\n26105 92385\n43256 51814\n28288 86849\n91211 91820\n17083 42265\n43745 57678\n12042 47009\n41130 75071\n41855 62350\n52867 69359\n52375 64244\n53206 78377\n65690 79960\n46032 99957\n5876 86398\n15707 62188\n17205 66665\n25598 65680\n7587 17877\n63088 86232\n37251 71357\n7686 47237\n87773 99654\n27569 80295\n60372 63073\n83418 98410\n30641 39263\n66354 87206\n25884 58088\n16510 82564\n90203 91580\n6747 99054\n48289 63150\n92005 92376\n18613 28417\n36245 63854\n41263 48089\n42795 49794\n8852 98732\n42967 68158\n71249 76607\n19467 69290\n56540 60712\n87575 98366\n6137 34807\n25771 65784\n57215 90691\n35983 43350\n237 43691\n23676 96183\n1311 86653\n36017 95526\n18965 34774\n17278 40904\n66554 89405\n32482 66093\n38343 91253\n8622 49996\n43303 46420\n390 76820\n2217 69207\n58684 81312\n35281 86516\n36963 80376\n4737 91894\n41023 66324\n15313 53422\n9662 24114\n18028 79200\n12086 78056\n7832 9562\n5189 44481\n4935 33214\n51589 66982\n65535 80730\n64743 85629\n25982 44338\n88168 99140\n26615 72933\n28761 51833\n50180 61285\n57119 65246\n20082 58783\n20200 67569\n64940 77891\n31945 82981\n49220 71872\n40048 89376\n22186 37441\n35542 65164\n36480 38898\n19669 29258\n14996 22037\n36163 53423\n8553 67571\n14323 35127\n45146 59347\n76192 96425\n57192 84717\n6254 35011\n4559 17931\n58986 66302\n2995 21890\n29358 71727\n20244 70916\n10878 85296\n27281 77925\n22754 98239\n81371 94166\n79408 81769\n24496 85704\n23856 36058\n70852 72810\n5246 80813\n45593 64947\n2909 80268\n7742 36559\n86179 97041\n11927 15837\n57219 69169\n8612 25419\n3763 71632\n61817 88778\n17709 65799\n4964 76199\n57458 92158\n28115 58589\n9626 58142\n2541 20818\n1695 43498\n17584 92326\n17072 72313\n13017 32536\n22056 44309\n15148 17335\n71049 75144\n55288 75668\n2761 37564\n78604 90636\n11270 73381\n44291 50685\n50547 61389\n61258 77367\n5493 85013\n43036 85267\n48327 57435\n45715 76754\n17797 65915\n33312 36306\n18165 56299\n59055 65019\n76269 81049\n45903 84825\n11169 51769\n7062 7140\n71542 93527\n13659 97800\n7917 40693\n8676 25821\n69780 89239\n62788 63612\n18574 79824\n13970 92878\n3452 40511\n2583 78376\n89174 96648\n72476 78593\n5527 95092\n24150 67205\n49785 89541\n15125 34602\n1619 47174\n49993 57118\n36337 54446\n5907 54288\n40267 46453\n10485 25373\n2418 50407\n57846 78998\n75346 90502\n15781 85362\n67082 98482\n3597 51190\n8187 22393\n32124 62675\n59280 61330\n19992 29023\n25994 69752\n43303 51016\n28634 37322\n46077 53408\n11893 12850\n23421 37712\n32008 97873\n98157 98315\n8344 43886\n5 26642\n57128 87664\n38671 95440\n58146 78228\n6540 68660\n5987 77692\n75532 83762\n19410 46032\n28695 75920\n18347 98814\n65995 94681\n60272 67778\n54372 97392\n11590 91170\n14183 58599\n12043 99505\n46680 78304\n28156 73438\n14408 45198\n31219 35859\n2154 39464\n412 16727\n4379 94466\n23928 78620\n3692 54283\n14464 27197\n16593 72025\n52395 73135\n72657 94064\n3763 25896\n32409 91717\n39976 48987\n20034 37330\n41921 92614\n8293 54488\n70517 93430\n66628 76665\n25136 25591\n22052 79622\n11039 34140\n11780 51973\n55309 92473\n66883 78178\n58837 85396\n49649 54474\n17742 37407\n37257 60643\n14748 63407\n54888 61944\n68159 88564\n56315 76162\n18140 35371\n15205 30832\n46088 66300\n5869 57830\n46392 49787\n33634 69468\n8149 71234\n2757 40989\n42043 68159\n13904 19274\n34907 35565\n32608 94973\n77655 89303\n64622 89565\n16199 65945\n55047 79520\n85183 98675\n50880 55751\n33730 44147\n19911 74088\n26952 68517\n53655 87428\n47375 53508\n22518 46010\n47604 96981\n54728 78841\n12593 45029\n59117 59837\n17861 28921\n30024 87869\n19462 46009\n12722 97151\n3724 20383\n88860 97312\n55605 74688\n2793 12169\n35327 77599\n21005 37010\n46119 46747\n45256 89673\n49805 70282\n73512 98163\n68878 83458\n96287 97842\n73622 74586\n60263 76014\n33210 61114\n22472 60564\n12358 18878\n2795 34939\n53177 70433\n40169 77632\n16432 79578\n66113 86681\n8007 75321\n39557 79248\n8502 49251\n24385 64841\n69352 73265\n3807 40893\n27850 86609\n41337 79889\n52588 81534\n13066 86018\n28004 82107\n19274 41723\n76147 88873\n24666 45221\n59660 61275\n32880 75081\n21524 56368\n20719 80415\n62569 92166\n54600 83470\n39334 83574\n32598 38488\n1423 19095\n37772 81806\n4238 30277\n52998 59578\n16497 51753\n16296 75590\n16700 37138\n11997 74921\n81229 93929\n77198 80919\n65151 95130\n61944 97232\n76060 77669\n53789 65012\n10745 44779\n5523 13349\n64855 83130\n67403 87791\n53543 60556\n51698 77655\n34152 62228\n61351 99336\n41092 88949\n22592 36321\n14989 35521\n2810 42634\n65538 93144\n13221 53962\n4180 30516\n38225 91494\n23011 63331\n79821 95518\n41235 46267\n55814 90074\n13583 34338\n16799 54524\n6392 86699\n30285 85478\n59692 84284\n26799 80792\n17947 34542\n30201 97569\n843 96746\n52141 56371\n16679 50391\n18081 75072\n50400 58102\n52527 96808\n46985 53219\n21130 21594\n41626 92427\n66930 68111\n64935 86950\n33362 42678\n67867 94424\n8342 88706\n37157 84223\n32111 35105\n74847 87916\n34259 53261\n43130 97958\n27981 63094\n1484 65554\n22378 58434\n87657 91150\n35433 42490\n26150 94300\n44441 61564\n24072 37243\n14056 56020\n33778 65819\n3197 85071\n13557 85589\n20377 93597\n49451 60391\n54130 83082\n361 9085\n21517 99446\n2973 37954\n44490 73806\n21829 47459\n68976 78266\n6628 71749\n10428 78090\n60699 77013\n11959 55178\n67902 69857\n38314 81250\n5689 10192\n15935 86129\n55266 71005\n55987 62178\n76734 82378\n20974 81776\n30549 78573\n42104 47601\n8179 34284\n45636 86567\n27788 33383\n11205 82687\n85991 86532\n89142 92905\n14996 83138\n38718 66900\n38691 50370\n30566 41017\n22946 24237\n13167 65788\n18647 46438\n10412 84425\n39740 99031\n16132 80670\n28359 55199\n9888 21678\n31190 43989\n54049 81279\n82863 96254\n36071 91134\n17143 19579\n51445 83362\n63970 96552\n39173 92037\n7522 22308\n79341 93992\n73000 87603\n34964 75581\n57975 91537\n36950 57304\n38467 59070\n48515 87083\n76899 82489\n31254 73779\n26745 34112\n6419 27913\n4651 59887\n28299 48247\n71767 72325\n44317 47232\n91336 92244\n27135 86924\n40189 97761\n70785 76445\n45339 50443\n35389 72392\n17780 32031\n2291 10346\n14308 30501\n29719 48393\n22132 77889\n1440 78197\n30482 47528\n10530 73647\n7436 99745\n5931 97574\n73334 97726\n23012 66673\n30738 86077\n3811 38567\n5354 94492\n75150 93596\n17772 71999\n8553 68210\n77839 94843\n10330 46703\n62425 85047\n1973 33369\n52852 74177\n9640 75889\n62724 87812\n68844 77965\n17185 27910\n56166 92112\n1594 73245\n19550 92242\n34025 77287\n16311 44911\n92496 99886\n575 87485\n50381 67869\n2717 18756\n22104 77462\n85074 86002\n89991 90779\n15427 68226\n66552 69474\n46188 63460\n2064 24404\n55479 96111\n33267 84795\n13888 40978\n3570 32861\n69137 79278\n31302 42857\n509 21647\n15568 75595\n40855 77819\n65751 92371\n85101 96668\n29686 62366\n15527 42260\n55677 78467\n2872 39649\n8085 86095\n4520 55802\n46808 74163\n67062 78995\n10577 64382\n44769 92843\n4096 10644\n18301 18935\n65404 69262\n589 33329\n26900 33828\n51603 84622\n58138 78017\n58741 71258\n11543 85154\n8031 10538\n23032 37472\n70865 76305\n21903 29435\n39724 87965\n9408 51310\n36000 82200\n12479 52036\n11341 96897\n17648 86498\n17739 43555\n40723 98447\n3958 87782\n45175 94375\n12182 61894\n56403 58055\n42016 61310\n64961 74018\n27107 51326\n7206 26033\n40103 46882\n21158 47312\n1124 62706\n2341 67708\n86712 88570\n31354 44104\n50288 69340\n57611 88475\n7661 87968\n12953 46654\n89974 93031\n71149 71522\n6566 61694\n85987 92008\n66197 74508\n47059 87056\n59407 62422\n32938 81387\n51321 65694\n23626 48827\n9335 86954\n14903 61808\n29413 74759\n69950 72560\n3127 45659\n45399 75885\n3283 87226\n15225 58233\n37627 53331\n50518 74061\n40286 79439\n88871 99850\n13902 75948\n16883 28798\n16106 83172\n5624 16970\n54785 78605\n49017 73565\n95035 98715\n63017 77424\n10224 88342\n67278 85157\n74176 85377\n77868 99229\n3095 29560\n25374 32108\n3534 73661\n16820 69589\n83765 99452\n3709 21882\n7828 71447\n9317 35846\n27009 30153\n45367 66300\n11432 68593\n16275 96234\n63887 99439\n62534 97669\n25397 29784\n5702 78128\n54685 68069\n77186 80708\n62986 99290\n45208 52572\n35851 47511\n35377 81424\n35826 91138\n3221 69901\n20769 51369\n31197 61759\n7170 88165\n11025 50870\n12768 98005\n41183 50022\n6556 84499\n21002 85225\n30291 70910\n10970 36031\n14561 73266\n468 92389\n25849 27323\n17774 57171\n31723 98467\n5626 96991\n42064 54247\n32413 88212\n85907 98685\n1260 35200\n2800 79396\n47012 97732\n73889 98591\n50173 72481\n25300 64729\n40907 60005\n8671 28625\n4814 59482\n35053 84627\n17134 48044\n5249 28966\n26670 81529\n87586 97049\n22908 56889\n4331 89918\n30673 92760\n8800 88166\n17760 47439\n31281 65067\n53900 86034\n9745 78198\n4604 6822\n35497 82117\n24711 84454\n72162 74704\n60742 69065\n59956 66269\n73553 95180\n1370 70053\n2611 46842\n12290 30354\n17889 28311\n63670 92402\n71397 97029\n3183 80323\n92054 92277\n92077 98561\n17678 81997\n63969 84539\n57701 67337\n52154 86337\n1939 49380\n9411 60660\n3300 59942\n31048 83700\n48097 52088\n22453 47552\n13505 63182\n77605 86713\n4112 11303\n32807 51650\n66859 81085\n17180 56363\n56412 61784\n8670 95720\n26978 83902\n8134 74918\n80025 80790\n45122 77009\n48959 61264\n21808 89289\n5173 5510\n59170 61296\n56552 85237\n41827 65906\n16840 33048\n14464 84525\n174 38620\n19584 75479\n57425 94910\n25482 39050\n84145 93957\n21433 92686\n10194 41174\n25817 87821\n20804 45266\n44658 55198\n30438 90731\n20450 30994\n23060 24171\n36722 99642\n17880 61452\n64286 96906\n72143 80719\n21525 83200\n4389 30329\n1100 58863\n69969 71935\n59414 71863\n48883 64350\n73628 77355\n23242 77543\n65992 70168\n57725 75224\n18501 27445\n56833 85349\n40189 56906\n54585 86836\n88448 92495\n65772 84403\n61394 90263\n37839 90467\n27124 94577\n43544 95027\n665 1468\n5530 8805\n30279 88607\n60465 72587\n15093 60153\n67889 80391\n41305 53629\n70017 77163\n20402 90349\n55560 91743\n61897 81968\n46368 86179\n38473 41939\n4017 48067\n47233 50985\n19776 75883\n51439 56465\n25174 85043\n33426 94026\n6700 63062\n96231 96995\n66607 82546\n14071 48685\n7864 54795\n13690 30455\n43211 72716\n38278 51518\n14649 49385\n55589 69813\n9181 49661\n78826 93446\n59479 92276\n55612 61918\n21336 63451\n10364 15254\n4126 18041\n18335 60430\n3482 44001\n68955 90724\n30627 86229\n46415 81586\n19498 53354\n37487 88430\n2588 78237\n58175 88059\n41024 72530\n54540 72150\n20831 48440\n81012 92914\n36130 72412\n244 73410\n8096 86030\n57026 79547\n50477 57916\n27895 48497\n17836 84303\n39285 43532\n45417 91937\n73846 89483\n39109 55040\n24565 62073\n37207 51023\n63415 85704\n49833 83320\n61362 81232\n5215 98559\n19778 49424\n6499 21984\n55686 81604\n34887 66612\n36821 39330\n38931 99277\n2151 71045\n48463 75746\n19111 66395\n38880 67675\n38473 39046\n10127 67990\n8917 49511\n38699 42956\n35196 78206\n47160 76056\n40663 99707\n51641 78796\n57248 64915\n360 45824\n7165 44476\n10716 57710\n51127 71325\n88016 99222\n76939 90058\n82967 85610\n16585 25803\n30024 44167\n16026 75701\n7191 56568\n2058 50079\n19217 58765\n60491 85540\n12672 79352\n48875 71511\n37673 73224\n6040 86357\n4736 29339\n53297 98312\n11621 56566\n53444 96928\n55295 82383\n13785 25183\n54200 99628\n55642 58624\n20710 51401\n72675 82772\n13995 72423\n89284 99499\n70823 94167\n4787 69932\n19078 55220\n22417 33142\n61053 70266\n28033 81127\n6680 17981\n70432 76202\n46288 76080\n28071 43840\n40616 63993\n18910 25887\n42139 75553\n3541 62929\n68951 81970\n5283 66945\n31549 82088\n5607 5844\n18869 32559\n61190 95184\n18594 87051\n57127 89023\n41684 83209\n367 84998\n26438 63141\n68390 96390\n8488 82553\n34094 35920\n23454 30858\n37090 93917\n7895 99172\n28577 70515\n31047 60398\n7936 97534\n11780 35060\n73195 85025\n21777 79217\n9282 83975\n31236 64771\n4965 16381\n7607 99110\n84294 85762\n30736 54988\n31240 40144\n15738 78658\n14946 26398\n8575 42173\n58552 63358\n11211 54863\n34998 36165\n3238 88448\n70672 81241\n16893 66131\n1530 99198\n36788 37901\n15364 92837\n54779 85660\n19548 26074\n11955 72687\n26049 66073\n10857 45360\n24227 52875\n75996 94957\n24091 53618\n37388 83050\n49100 68228\n28015 65626\n32843 35231\n30728 36853\n74937 86376\n19895 60710\n37355 53443\n72786 81911\n79035 88701\n25076 87093\n42778 82742\n75177 94972\n8073 93484\n18617 18740\n69621 71012\n17776 36964\n45225 76586\n12362 45579\n96611 97220\n27279 81551\n3547 64993\n16872 38662\n42299 50358\n63629 75877\n37670 93841\n15249 27994\n43570 97357\n22914 24978\n3599 18912\n43599 68801\n4158 61319\n34303 47265\n5955 96852\n29573 83682\n35126 44005\n28987 63113\n28949 87535\n12507 22947\n40774 63493\n13475 72778\n25245 65583\n13764 94612\n20946 26172\n3548 84494\n77633 85936\n56607 76003\n30926 83133\n11180 22984\n66722 75317\n30911 43524\n51413 83194\n39338 87244\n22529 96987\n61883 95122\n62672 88839\n18875 25208\n91991 95761\n23170 98760\n4198 61232\n58539 87319\n1242 90727\n48080 90724\n25206 70785\n58422 92820\n8142 70812\n12002 78411\n9054 10686\n54078 67726\n93725 96158\n47096 89243\n68050 90717\n45839 65502\n42600 63871\n46594 63304\n49587 98023\n73973 79938\n38892 42242\n8750 58049\n5629 65565\n28595 77122\n72665 73192\n88128 98446\n33043 49527\n52757 61794\n13063 88750\n19093 81711\n62322 71753\n6233 6278\n12010 22683\n46219 66652\n54294 90766\n15206 92407\n28092 31077\n37786 80069\n44932 89915\n23744 59747\n10120 28950\n67946 93201\n44440 49199\n35745 59807\n43905 44445\n3608 35403\n72533 73941\n17211 48845\n29192 30646\n43006 46067\n25484 87011\n70724 77945\n67066 95206\n41808 98073\n29410 49343\n59936 78846\n9276 23681\n811 38373\n84379 89218\n68986 72956\n390 97080\n7644 52949\n18471 34245\n44424 61837\n73108 98137\n11171 32867\n24283 51701\n47476 62417\n23081 77536\n33523 43812\n23728 26589\n45360 69778\n27087 68560\n40367 81192\n47524 84322\n11941 17636\n35300 94294\n13077 42257\n2449 96912\n40627 80619\n363 57840\n69185 79540\n10921 87487\n20460 81975\n58225 87498\n1164 85203\n44220 85214\n33011 42832\n72962 79829\n2363 70855\n2495 59692\n28257 92052\n30134 91619\n42382 73310\n48415 50369\n5583 73068\n11129 74952\n8707 83741\n87432 94179\n5728 59755\n8899 90434\n7501 49961\n8186 66210\n39499 90661\n64137 82121\n1092 39814\n14985 18820\n13355 66909\n21926 50693\n11881 60956\n23163 60558\n20328 43505\n16271 42146\n75827 76136\n6354 62900\n81734 96480\n56932 74879\n42802 49180\n37034 71552\n36791 55679\n45065 87133\n51013 69453\n30984 74371\n45828 59928\n48919 95765\n49238 72360\n59100 88305\n4332 35674\n53822 56220\n66176 85720\n24455 92219\n74829 95863\n72575 88909\n23453 41580\n2085 64756\n21268 76948\n86921 90264\n45798 64893\n22373 51642\n26718 33244\n93304 97427\n72775 94262\n11672 54194\n32026 96864\n2447 3665\n9685 60998\n7020 99788\n28360 52096\n70338 71695\n16878 49677\n33724 76563\n59095 80344\n13736 18388\n7083 51834\n68308 92837\n34124 58832\n32874 83354\n19707 36822\n65350 80157\n52708 81854\n61537 88158\n23877 52496\n55231 69867\n48737 93850\n3822 24846\n3450 56464\n43370 86173\n50641 87040\n348 1816\n57331 90899\n29300 34035\n28183 81445\n54923 84439\n19903 80618\n14500 16657\n2002 87462\n17598 80868\n53690 83454\n20825 75899\n65822 76959\n47802 68415\n13362 26742\n65130 94098\n42381 45706\n9701 78352\n36186 39462\n10088 34503\n32955 74656\n49979 88114\n20193 82216\n39804 60258\n8806 96832\n20070 28352\n8927 54583\n38444 72965\n8228 51826\n67136 93732\n20914 60671\n4691 6466\n39279 92708\n30252 50439\n17099 88350\n33404 52185\n43743 67220\n13576 70403\n12302 83436\n45418 91320\n8879 85610\n63225 83450\n28874 88024\n26365 99255\n16967 19186\n65124 97444\n11224 81420\n6768 80957\n39610 62121\n77589 93806\n3697 81345\n25156 86540\n50863 60997\n72666 80291\n37172 63865\n71953 84252\n8507 71480\n72767 89092\n53571 96046\n41961 48645\n50734 52687\n12261 32897\n26471 53807\n48387 61655\n11047 29402\n62647 64770\n55829 92134\n70501 98367\n26225 63427\n49805 73059\n6150 98235\n59683 65797\n81660 82281\n19121 64707\n29865 99352\n840 53638\n87342 94268\n52780 66980\n40720 81022\n1567 81303\n14082 27473\n9011 59455\n37624 41051\n37098 93570\n3481 79130\n13329 94996\n63247 74553\n3096 68108\n50669 55726\n3854 6331\n37862 65892\n36991 88967\n1505 37381\n35639 62860\n16375 91472\n62846 84101\n64804 98951\n54670 65809\n50020 70639\n10412 47964\n50723 67839\n41734 44834\n40351 86101\n33866 81396\n96884 99420\n41897 48267\n18292 20168\n19419 88976\n47917 68726\n4376 49361\n74807 79010\n18640 97397\n22240 38562\n5614 59498\n17988 85609\n49953 92003\n80249 98301\n69351 87292\n34780 53566\n66371 75420\n43244 48289\n36313 81549\n13392 39930\n37236 65508\n64450 84781\n19681 22260\n71229 92626\n19664 56167\n39778 69534\n9582 60202\n12566 96963\n46085 90373\n5513 30391\n9528 60491\n10672 99427\n27174 66842\n51320 78020\n25299 55943\n14135 87348\n22975 83413\n9372 61748\n10639 29560\n27948 76076\n42090 81422\n42415 91997\n4952 95337\n50384 76451\n3539 84896\n52719 82895\n47729 54207\n8004 38997\n67877 71245\n15975 64109\n60145 78557\n24383 57829\n14857 36150\n26547 33721\n21713 33491\n29757 74607\n16492 44063\n59634 71479\n7625 27863\n12064 34294\n49904 51555\n36543 50551\n7370 8826\n49950 69021\n24402 99749\n24420 63749\n54401 93314\n5050 42916\n14448 71333\n14256 31364\n31344 85436\n33834 34896\n22607 47627\n16769 32202\n87008 93183\n8520 91745\n2532 98382\n41510 84598\n64085 82201\n19659 73492\n15009 82917\n31345 86921\n40847 72392\n19874 20768\n49426 69514\n68591 98654\n19591 27491\n4180 93351\n74899 81896\n19758 72329\n43186 73504\n65837 94445\n24647 99191\n921 42090\n13871 67839\n72260 77291\n69534 90248\n56744 72198\n2643 23494\n40235 82903\n26637 79840\n74529 80850\n8843 68151\n24665 95579\n11510 92414\n55008 81500\n1092 67986\n50644 64574\n19730 58272\n98696 99590\n96599 99528\n56479 71304\n10557 86195\n82405 86288\n6301 95902\n71737 96672\n69491 87034\n67909 82476\n541 49372\n2786 43771\n55110 96386\n63861 89867\n55642 73850\n45377 85794\n19006 41257\n38044 43516\n10956 95338\n59289 93519\n72960 74792\n32934 52233\n16249 25754\n1319 5968\n41987 93533\n24457 77500\n48901 57842\n22478 88569\n2780 53517\n27374 39966\n43124 49206\n24074 58336\n40875 60861\n54232 56323\n1542 55517\n16497 71135\n16912 62211\n75508 81055\n37757 43581\n35164 67397\n73863 76527\n31563 69204\n5363 54288\n65032 97421\n19501 91695\n79801 90846\n19114 84929\n38304 81098\n28166 59766\n25382 75328\n53845 80020\n8297 51314\n33407 93053\n80789 98624\n4940 49413\n22400 29578\n40118 87834\n64027 74513\n53369 94068\n35651 56341\n8533 59652\n59138 69613\n30382 46356\n51042 61659\n47403 59579\n51254 94010\n10525 32076\n42591 44514\n40542 96885\n8359 68151\n2995 98899\n17976 66557\n35527 55479\n85552 95228\n39495 48327\n46820 54109\n11591 89898\n44927 75167\n10208 71386\n5684 81219\n84488 90592\n8993 20936\n21894 47060\n9830 50311\n26251 71494\n2538 89695\n68905 77422\n70215 76922\n16075 31721\n5589 86373\n15196 48752\n13868 95941\n64498 96623\n61831 95552\n10719 56652\n11632 28659\n9517 83631\n50971 82073\n56076 78813\n80451 96347\n9568 78378\n38661 45364\n54482 72293\n20073 40586\n12923 56360\n27076 95691\n34737 47834\n39385 54425\n60833 80870\n4445 95787\n63551 71138\n60698 96805\n16787 66569\n37682 50732\n3352 82291\n13231 92772\n47565 55551\n43907 50565\n23778 93429\n2849 57425\n42933 88687\n2291 23869\n7515 7850\n52268 59984\n11486 94739\n46902 88732\n11283 88809\n43428 61393\n3698 47867\n28385 49148\n12917 28223\n46932 93126\n1018 64320\n63279 95215\n5332 36030\n15766 35937\n35727 68297\n72988 88096\n20126 80884\n6880 17896\n33487 98186\n11975 91751\n21313 78411\n1346 77820\n13023 28458\n12434 96146\n36990 67963\n70027 79963\n24580 96771\n36711 60978\n27762 48848\n4746 41151\n56424 93210\n60411 83277\n48718 76685\n51724 68106\n83745 98091\n48685 52593\n50291 55536\n31474 78688\n27313 73908\n57754 97029\n6610 14260\n60233 90146\n13208 72589\n98330 99993\n31229 89734\n40092 86711\n21906 80844\n13536 79736\n34449 69941\n19911 57094\n52228 57284\n66601 89353\n1331 31769\n63056 71946\n7109 23142\n4978 26018\n31610 48976\n39698 97993\n10684 92679\n22868 99699\n24889 86568\n13355 14382\n41178 41763\n297 98768\n37812 64857\n2389 14558\n35727 77957\n17718 70183\n5324 67164\n18599 55972\n30139 92981\n38401 49288\n10837 40505\n52334 98488\n29753 75469\n10462 46286\n47446 47489\n6399 32919\n10558 90581\n97599 98257\n49106 89791\n52190 86074\n44723 80287\n18100 49131\n66049 79167\n57056 77614\n15402 24982\n25278 87464\n13923 54349\n17669 25921\n13697 89168\n24815 61792\n45637 95902\n21082 66958\n38651 79862\n19613 31312\n69402 79381\n19713 26317\n32616 40120\n41792 77161\n4486 64341\n30751 96789\n61955 80370\n70596 75945\n39354 96184\n26915 75826\n63479 76169\n44057 71440\n57314 59746\n27192 70348\n25963 51086\n43421 67523\n45507 46432\n60268 91071\n75107 81086\n76623 88288\n5893 15316\n26518 77634\n90423 92902\n16682 57089\n29575 60011\n34636 42805\n32320 86650\n4153 37666\n29004 91081\n70484 79326\n69818 82338\n42918 91766\n12330 67292\n5483 99624\n41473 95818\n13087 33451\n19849 87866\n24846 44282\n25383 97572\n25211 31555\n19934 92584\n72993 98086\n10877 52614\n20165 33225\n45387 48586\n15757 97626\n24545 27719\n76277 95694\n1640 44993\n17897 50315\n24437 48374\n2309 46181\n33213 53198\n15526 25235\n37131 98914\n90487 99361\n63844 72552\n258 30094\n8399 10952\n25598 29053\n60864 99716\n75129 78842\n54639 55300\n420 2728\n65994 94107\n25509 35951\n13080 53494\n51902 79322\n71058 92625\n6361 14806\n84871 87800\n21883 23481\n30998 76279\n67298 95738\n91151 94225\n83303 99904\n29985 38355\n69447 83833\n13981 36164\n53196 64102\n58508 92188\n14012 50461\n31871 96483\n40375 48589\n34567 46849\n57559 97803\n11870 57582\n47597 61438\n5863 26907\n39744 46792\n44881 82695\n14286 68230\n5211 17730\n75179 84842\n49837 78207\n23658 90769\n6671 37602\n17450 88934\n51973 78254\n42995 80508\n13062 88577\n68170 85308\n18070 58794\n43242 99681\n18771 36979\n8778 94154\n18351 26916\n36441 83626\n62918 80671\n61560 71783\n34048 37358\n83348 88614\n4331 18368\n29141 32172\n5936 89530\n24286 98237\n25347 55958\n58475 89072\n3115 12701\n38504 47091\n83460 97237\n42275 50256\n22181 85488\n64832 81522\n501 70611\n8659 91421\n10691 83862\n22478 38336\n66833 73144\n41811 94628\n8140 18052\n45102 65182\n8798 87944\n21020 64448\n45534 68128\n55664 78806\n15320 92338\n71995 92310\n1648 6213\n18607 26962\n14602 96734\n2731 76566\n18104 39993\n12364 57283\n59120 74521\n5410 12382\n53629 97522\n7753 64208\n62906 93317\n26534 66846\n29734 74992\n97780 98195\n11481 46784\n67492 76451\n29652 89783\n56324 78695\n70861 91443\n5061 97171\n65127 83241\n25868 69884\n9122 40892\n4200 9376\n6914 83238\n26618 68674\n34979 69769\n16480 92726\n6644 27336\n46950 86958\n25180 86970\n28352 43627\n87026 95178\n75572 86319\n33471 34163\n38591 58829\n41245 54611\n34446 77720\n85284 86434\n12896 57113\n61813 91614\n8314 12213\n38041 44687\n4529 9779\n65483 86120\n9990 59062\n23671 91314\n29698 95928\n48506 85551\n33148 88368\n29033 48200\n647 31997\n68032 90616\n9659 27443\n9939 38774\n19416 41334\n41255 44035\n8811 44335\n27542 48527\n20981 81140\n15539 57800\n48541 53153\n17012 49662\n81454 96763\n5645 78111\n34764 72942\n15225 36885\n89602 98285\n58039 91882\n36282 86371\n13545 43133\n44210 95196\n42411 52827\n13148 50597\n8523 46151\n3596 75807\n71006 98159\n15 19030\n42266 84639\n77428 79712\n56943 87967\n52201 76471\n47975 73845\n27597 98805\n8311 92633\n67950 91159\n77409 98854\n11025 48589\n34311 77929\n9363 15703\n15750 96511\n6252 53162\n58908 89354\n41932 94989\n41394 84980\n33041 89136\n28417 31518\n4047 77602\n1127 59827\n16225 43883\n30287 58699\n43098 92799\n62316 67528\n25739 55439\n17827 49974\n26808 71986\n57758 85501\n3277 4750\n26649 91284\n71574 87451\n32937 67310\n7751 98540\n26362 45184\n1109 62624\n1162 72174\n43697 77509\n59077 60884\n58855 69767\n21868 40715\n12805 65347\n3010 19404\n56406 84900\n38866 43033\n5888 37905\n68835 84230\n49624 93771\n44562 98377\n17247 88489\n31549 41540\n35241 37483\n38563 42450\n45627 48919\n51157 60438\n39263 65843\n47753 87921\n31232 93706\n8033 71238\n26261 97381\n56 52660\n5217 58889\n37741 72740\n7284 75844\n76890 96855\n6991 88091\n73529 97947\n69155 75788\n30241 44172\n71173 98440\n6554 61396\n30031 63392\n17647 37917\n25479 42644\n32930 80178\n15634 16540\n37504 60212\n21073 41586\n25724 61857\n43730 53367\n16049 62026\n13797 62576\n4749 21228\n81099 94601\n23086 37529\n2276 43695\n13239 25075\n62302 88280\n507 75090\n58599 77205\n14278 78414\n11097 46218\n26731 84686\n8319 40043\n48734 63325\n20360 36806\n36676 95886\n74573 85577\n50107 59704\n77541 77954\n44376 85562\n4870 50128\n53508 74482\n60296 90387\n27306 55192\n1837 77148\n47824 98839\n2844 38233\n15059 89166\n6186 39088\n80027 80404\n5163 29034\n61668 93439\n17046 79342\n11658 93312\n10031 64348\n8735 23428\n33967 93740\n59387 91932\n42784 67809\n6616 72262\n40773 55503\n52803 69567\n17429 24797\n36951 64289\n15033 73091\n14942 96148\n51680 54843\n62868 95927\n61810 95740\n71374 78714\n22313 53327\n25416 93146\n51716 60164\n843 69872\n20761 37223\n39859 97654\n42005 71808\n50330 56716\n60777 82657\n14869 21364\n56197 86984\n49635 81498\n82886 99007\n570 1424\n31470 69295\n41611 69572\n32527 82691\n69664 72420\n49512 72131\n2964 26527\n19845 44902\n18576 22464\n10039 80740\n35512 43213\n11118 53636\n42617 74042\n21195 48675\n16463 94919\n42303 87583\n83760 86398\n4517 40922\n30632 95799\n35883 64046\n11181 26803\n29079 43917\n50201 85580\n5299 85547\n1194 47412\n24778 38088\n9876 41570\n82947 95100\n72579 77011\n78788 81820\n60839 86760\n59616 72598\n57354 62566\n63620 84235\n2290 61669\n2008 16539\n36086 52788\n51299 84195\n32475 70049\n25964 58235\n31286 51966\n40696 69360\n32238 94012\n10889 26307\n32280 91157\n21666 90141\n39051 75514\n12729 62840\n1212 84618\n2327 74002\n4492 83176\n31990 85958\n75341 89711\n85731 98937\n68736 88494\n21799 98327\n31018 67560\n43225 51221\n60073 73092\n54303 66850\n55584 78947\n16328 60998\n19950 82440\n64542 73311\n46908 83842\n59800 92067\n36341 50666\n19164 88755\n31338 91709\n13791 91329\n51140 67612\n10155 67028\n78552 87082\n10027 79697\n21090 97128\n16726 84835\n32215 34470\n26967 89601\n3865 80139\n17653 56228\n50273 96407\n67 35096\n31081 80520\n33976 37054\n20750 61173\n51739 83328\n15590 32475\n9330 90448\n40054 74488\n16798 97852\n56809 66245\n23110 84485\n82958 89554\n93162 97998\n62546 95284\n17649 55494\n29116 86206\n41427 93443\n18991 42509\n38311 70845\n55737 74889\n2804 97932\n17850 71002\n4646 74476\n12807 52623\n50807 67144\n66911 85059\n1952 66588\n78155 85537\n30659 89299\n55629 70883\n49072 76407\n10816 22197\n61285 65716\n58391 62746\n41271 96654\n3531 58392\n14764 15518\n82257 99050\n83735 97034\n70464 82521\n11035 77563\n9410 60993\n34960 98762\n58658 90522\n43139 47509\n4922 39115\n22897 95200\n27963 46592\n44984 91640\n28246 32400\n39405 84031\n60423 79167\n49803 84436\n24199 30449\n20423 90740\n6081 91314\n9523 60711\n44158 93330\n14112 29984\n13645 33453\n2084 52720\n28767 58866\n36504 58892\n58131 71723\n52783 85064\n18760 37046\n47355 58315\n65315 97760\n54718 71002\n44095 69053\n58631 86772\n77324 91535\n83362 85871\n18231 32461\n63941 66153\n7607 74544\n9805 15746\n33511 62429\n40472 85814\n41724 58083\n31501 78502\n91928 95201\n6886 95565\n7624 55448\n24529 72293\n16666 46503\n67016 81442\n3780 38968\n43024 64255\n3227 62306\n3353 43269\n86281 87816\n13121 86840\n40208 94689\n50917 82952\n8990 95437\n25768 97046\n20745 57225\n34384 58349\n28708 49998\n8347 63170\n483 52662\n24735 87640\n75913 90777\n19837 83427\n65745 83926\n3228 90629\n44185 48716\n72251 78509\n44629 52777\n24871 28341\n5094 80160\n12739 89247\n4800 34589\n91639 91663\n25117 47735\n72263 79500\n79777 84038\n18261 64234\n91651 95596\n31320 75715\n6070 75985\n5078 79723\n20049 59072\n33942 64564\n18065 62013\n89958 95285\n12365 14098\n6828 46009\n55729 78902\n36217 85062\n18508 88333\n81166 99513\n82876 86292\n16169 39973\n37100 62800\n62923 91313\n28769 39013\n32702 73147\n32747 35654\n64211 87760\n6809 27835\n49865 84268\n38509 77061\n7339 18313\n53786 58921\n25195 26104\n2329 39712\n49571 96857\n67622 72260\n40964 46786\n61213 73787\n5379 72604\n11226 46765\n47237 50206\n8834 96171\n12074 76365\n54452 79796\n57310 57501\n52723 94484\n1813 41680\n5108 76978\n19098 92799\n69927 89682\n23836 66519\n33101 59963\n67628 86596\n58884 89782\n31486 69923\n20129 59178\n26971 99531\n2671 73155\n83 89899\n34347 44394\n42287 77136\n12951 26791\n43022 68576\n18800 47452\n20992 40631\n51068 76097\n17078 52958\n45012 49900\n32991 96745\n56689 64177\n5300 57796\n28060 75500\n61192 84231\n2403 50464\n29497 88230\n2513 4383\n48811 85049\n12159 93688\n1556 44566\n31694 53389\n19709 71571\n30446 51474\n29348 91776\n22441 61483\n19846 85440\n16284 88281\n27694 93753\n19412 23464\n6979 23429\n18816 26847\n35911 50452\n66533 71366\n23190 69664\n11694 27584\n19544 99042\n17156 91537\n44558 94689\n21222 29098\n82098 96691\n39761 78114\n63825 70100\n33969 98784\n15714 30233\n44434 54995\n19113 67373\n34907 99164\n59643 72943\n3912 98894\n41164 98992\n53416 83764\n69051 99594\n19538 52042\n20351 79446\n39834 53023\n25700 25904\n46197 77471\n36070 44380\n28386 47687\n61725 66405\n40235 75707\n10807 47953\n47204 94073\n4572 34418\n40694 78970\n11918 90451\n50623 57679\n24538 76353\n13229 77112\n21895 40696\n29331 68048\n423 51269\n54562 71047\n56939 94279\n663 63010\n38205 67589\n39938 93241\n33752 46543\n31820 97846\n38452 58725\n20575 71604\n37372 85361\n17524 80363\n44299 95009\n19100 36033\n16518 37366\n78384 87400\n60286 61069\n24520 60285\n49785 70018\n13569 21785\n14396 67584\n24037 40549\n29412 37593\n24391 36660\n28683 62646\n882 30805\n8101 64270\n36975 54522\n17663 89448\n12714 32054\n17550 45699\n18694 85375\n50944 52143\n8511 27511\n28779 76769\n28228 88371\n29912 30580\n79064 86635\n55743 74917\n2755 50038\n24256 86857\n10746 36794\n61060 65661\n17613 46602\n3275 30406\n25594 91957\n6710 18855\n38869 48415\n7068 53808\n3382 22397\n65822 99254\n69758 77912\n5623 71094\n20013 37800\n46067 87015\n53301 84373\n16817 43822\n3258 54892\n22890 29438\n37386 41716\n24323 41098\n24893 44111\n7950 75399\n74535 77850\n35969 85553\n62902 74213\n49943 93640\n5165 89074\n14681 16178\n17024 36184\n1593 16053\n58295 94944\n52865 71169\n13540 49112\n13357 53806\n2851 79435\n4114 26881\n13696 75452\n31977 98650\n58377 95126\n53503 60907\n25697 62137\n38693 69120\n2967 73649\n68292 99235\n13110 86253\n42342 86902\n26208 82090\n62332 65688\n69337 91336\n17783 76760\n58292 63721\n93313 98079\n15786 46525\n7635 26739\n4921 30730\n65953 94438\n12779 89014\n14679 55127\n14517 22177\n6749 25147\n30892 99477\n91 49281\n26648 52682\n20322 47613\n67791 77500\n20241 45878\n21623 52293\n92554 92799\n14732 74706\n62378 69817\n21634 27890\n32543 41373\n42361 92236\n21203 59300\n39797 98846\n56351 62566\n12102 39386\n13606 47827\n38883 51354\n15182 58582\n26318 59322\n48473 62319\n45020 84635\n45296 72943\n7683 82759\n33616 42872\n32918 73262\n22791 98542\n7208 68296\n41435 61066\n75691 90086\n15457 16166\n34151 99149\n58723 97290\n5088 73457\n11277 49280\n37466 90241\n49039 58285\n79574 82760\n30591 88700\n59921 79747\n33065 70809\n26780 78607\n62224 83979\n687 98957\n11130 94543\n9114 73364\n23243 43278\n79943 84235\n17451 96521\n5527 64095\n46178 60781\n22088 87425\n50894 64734\n7332 42905\n13900 49811\n2827 34125\n13890 86228\n34583 74322\n22268 59706\n13460 97183\n66359 88175\n41497 72803\n13448 14141\n61268 90876\n74541 81678\n61760 79438\n14380 63229\n31190 98521\n45445 45659\n31903 34449\n53298 90179\n30016 72141\n58375 96424\n29655 57776\n4400 46482\n10110 80206\n7213 54001\n6801 89942\n60772 89137\n26184 27480\n11600 96322\n6068 74458\n62707 73706\n54294 70921\n52506 87561\n40315 84098\n35784 81879\n4211 11495\n2363 49942\n84811 95970\n2738 8244\n20020 80897\n34786 45327\n6697 97941\n39062 57186\n2226 23172\n9456 35876\n43422 44688\n19573 69477\n25962 51239\n36011 56063\n12544 38393\n81918 90850\n77174 99136\n26239 33665\n67631 84941\n13491 64707\n98275 98596\n46280 83044\n94951 97124\n36657 90661\n31052 88003\n764 74114\n3876 75415\n26058 77375\n4037 27079\n15979 18802\n64116 85939\n28563 36240\n57816 66664\n4906 7099\n14952 24600\n55895 63049\n9580 74636\n30148 96087\n62612 91510\n18040 93897\n4215 4520\n3708 32519\n15805 82237\n22534 38961\n16936 36050\n44226 88615\n26255 55665\n76143 95611\n37609 60561\n65267 66922\n18147 83140\n24930 73290\n41577 88070\n40531 77535\n6008 45892\n15599 23025\n16961 64133\n8083 60135\n16544 59907\n35895 98035\n27349 90161\n37897 94497\n10406 29106\n93118 94212\n33263 89508\n13379 86015\n3819 91922\n35615 82146\n30875 64888\n72799 96635\n51063 88198\n30321 90184\n56113 89207\n48081 77782\n2508 63064\n38477 60702\n34136 65202\n13369 93494\n61050 93733\n93155 95418\n84869 89012\n24195 61012\n22231 25726\n3078 86441\n86892 93407\n40694 50823\n12474 82950\n12952 55385\n7427 74571\n37338 41353\n12055 39507\n57375 65831\n34464 49385\n7832 27362\n28874 45044\n46737 61282\n48223 83443\n71616 84660\n52804 81422\n65433 71139\n14236 58496\n173 75047\n15946 77397\n76517 99740\n4725 15923\n2242 83278\n17237 99433\n88076 95191\n30792 65605\n7641 63876\n71787 74926\n50409 69418\n22745 70852\n22259 84299\n89487 93797\n30298 58872\n14008 58353\n1445 34846\n76199 92285\n77823 79425\n16065 68194\n10439 19191\n47610 69611\n8862 65150\n20186 68534\n15542 87966\n52735 76024\n64155 94356\n9728 66326\n72146 96740\n12118 57943\n766 83999\n30558 98333\n11043 43804\n1492 66360\n76522 89938\n6574 35954\n29303 76177\n45810 97121\n5809 99936\n34983 82388\n51616 75789\n59088 84278\n24017 77020\n8445 76513\n23717 52282\n47459 83887\n25879 60319\n6366 91709\n22385 95963\n20499 40730\n36954 91827\n25859 42923\n17400 31898\n17276 88832\n36296 54383\n40194 95243\n36227 36981\n41563 92246\n9818 45629\n3719 13022\n36018 58490\n13590 27805\n42101 96942\n30085 67051\n11227 74398\n4021 62170\n37526 62258\n54395 98179\n47030 56380\n3282 47439\n7768 79211\n7736 71045\n51710 80569\n8282 16257\n47947 76935\n51860 52785\n46738 97374\n19348 27001\n74448 78915\n25736 41234\n72523 94189\n61004 83901\n45779 64716\n5356 13781\n18122 99231\n23025 68933\n5650 94950\n47520 74038\n50938 62528\n45838 78610\n26352 39880\n37781 54472\n78898 93835\n68151 90770\n10077 69519\n71161 72642\n24029 91073\n36167 46312\n6445 92123\n22880 63556\n47980 79802\n11343 20496\n86517 96314\n20895 62728\n7493 8013\n26161 62539\n6627 29761\n25428 26621\n11131 12864\n128 28859\n8164 69988\n29749 45951\n35004 59068\n2507 86833\n16941 19584\n20859 59904\n4639 71268\n30878 78899\n28050 64015\n6397 97916\n34826 53760\n41567 74237\n19324 74173\n11938 69181\n44098 79142\n19228 94300\n9751 97438\n7016 93532\n3368 83687\n64421 65009\n44692 61152\n18513 42642\n7310 98083\n13322 27855\n44527 75491\n25292 53858\n10027 77275\n10597 90167\n1430 32173\n6786 65503\n72063 88297\n6474 55770\n3532 78094\n29026 61637\n5470 66649\n25236 38265\n36942 57638\n39321 55635\n37459 45007\n40663 53294\n64441 80136\n23393 98353\n52962 75669\n49719 62232\n35265 58421\n77619 93304\n20893 84917\n8965 24364\n55686 86067\n61157 80248\n20526 86232\n52957 90282\n1750 2851\n63707 76428\n9046 38104\n18765 73725\n46004 61750\n5970 22022\n14608 88555\n19769 82066\n24115 67911\n52059 73089\n17950 68564\n62373 76675\n8978 9145\n59538 61926\n64587 78162\n14420 74983\n6569 20591\n3787 43264\n55603 75115\n4126 85586\n8650 26258\n2193 61290\n4387 66197\n14465 45818\n28325 74962\n881 63541\n4229 34205\n16254 95697\n55314 79395\n31550 56882\n35690 45931\n78571 81472\n30730 68485\n90523 90736\n69814 92360\n63118 70084\n18218 84602\n63604 84797\n79995 85668\n78595 92628\n27021 79050\n20333 57421\n1276 13184\n34145 97619\n17993 73441\n43759 83630\n28171 58490\n41620 72630\n3978 30995\n18628 23100\n62210 71836\n21878 81383\n11135 52044\n20803 90736\n2077 51722\n26280 71492\n1220 67911\n20937 43955\n29079 81449\n69263 88166\n36220 70314\n38845 97793\n80950 92275\n36108 65779\n21487 31147\n50833 91956\n6636 53004\n29034 85759\n46884 48805\n88293 92825\n15520 65847\n49206 81330\n22860 62133\n29338 43347\n21192 52856\n3467 35594\n42556 52780\n27414 37595\n7882 10649\n25130 73915\n42705 60285\n44651 65366\n14786 86818\n34878 80618\n65582 68997\n22970 31131\n14536 14655\n59902 87362\n69200 75602\n27902 79733\n46137 68196\n13802 97614\n73952 99865\n19895 92350\n64789 68707\n66707 70784\n49699 61885\n19009 81216\n15421 72867\n72794 86246\n41235 98098\n2048 31715\n50962 97515\n20668 38076\n26317 61932\n26853 29898\n45523 47354\n26125 51229\n17541 72184\n15046 33163\n51070 52741\n19322 89351\n16492 59339\n8455 28405\n46267 53369\n44895 88066\n1045 94322\n46049 84518\n73896 83874\n7929 54547\n44239 68075\n54907 56626\n18054 67080\n9138 28316\n1805 98252\n3079 48569\n5021 6564\n2148 37687\n26213 53606\n41680 65810\n44490 65616\n52836 94967\n36623 70849\n46260 58421\n15360 93408\n33947 39110\n14501 21176\n32866 99852\n43145 46652\n21021 72984\n43766 76300\n10249 45251\n59246 95671\n1995 80192\n17263 83394\n25419 64673\n2532 45127\n60345 67290\n91149 94289\n43291 57725\n57486 76640\n23193 59877\n65551 90382\n8685 9841\n14480 88355\n15092 82201\n65093 91038\n16625 34316\n17837 35485\n50047 96999\n59837 72458\n55583 58086\n4729 56473\n3699 89298\n48049 67521\n5260 80239\n28527 81055\n54990 94294\n46511 47484\n14304 30122\n28956 50112\n22964 43949\n25184 95852\n24248 27852\n66354 70385\n10105 91943\n28135 92680\n460 56134\n42683 93914\n30074 72269\n39505 64721\n38106 53457\n57313 65703\n4536 36039\n29230 76084\n653 99669\n31451 56278\n32605 74469\n5897 28335\n19434 93011\n16727 71438\n3432 99352\n19320 39445\n45702 45937\n19094 22942\n7601 20025\n27038 81200\n56736 68767\n35366 78431\n49877 58692\n65896 80188\n82220 95597\n2118 46198\n37336 45722\n9799 72645\n13353 53334\n20280 61572\n51009 80895\n25583 61507\n3371 67404\n21453 85229\n17412 39838\n61034 97716\n45815 73057\n71791 95246\n2782 30889\n10591 87572\n38844 48779\n74269 89361\n14601 28438\n407 30216\n5172 72919\n1817 2298\n5342 42415\n1210 30783\n29942 53524\n30814 62788\n43083 73716\n35770 60521\n34400 80501\n26735 65009\n7258 70561\n37206 52640\n11930 56297\n41282 62938\n8363 44427\n67389 82729\n64187 92963\n22859 80264\n62603 87611\n4634 27127\n48616 59117\n46299 83064\n3550 17292\n46916 62044\n15470 59311\n53067 71111\n41130 64089\n72003 76473\n26721 48863\n69871 93521\n72354 89110\n2280 90900\n38612 58752\n917 13414\n60891 82293\n75045 89515\n8124 21770\n42924 61659\n35127 95462\n6372 6374\n36826 58891\n29153 30777\n24137 25017\n1573 64872\n96040 99291\n72566 99865\n1942 40382\n24830 71092\n61853 86952\n9195 55173\n6611 77304\n65432 67489\n58939 75191\n42966 70466\n8891 98227\n1014 98439\n6372 40158\n63733 77568\n875 88073\n43935 68328\n636 5832\n150 36873\n3919 46326\n72708 79405\n25844 66061\n1972 34510\n3956 26162\n48040 85506\n30088 43312\n25230 89239\n23509 80949\n61967 74049\n933 80419\n1628 82780\n54384 65186\n9106 9796\n21797 26541\n681 46597\n69896 95117\n12980 20503\n75952 88808\n33253 95342\n52278 73278\n14021 59670\n14179 70753\n23852 42244\n11862 24479\n13914 40928\n40907 91148\n3280 65743\n7018 91599\n3571 52959\n46388 92816\n33502 94904\n56501 98648\n4773 43637\n64370 84124\n40483 51146\n3344 54334\n18218 68288\n46751 53020\n15520 80529\n20689 90803\n31801 62556\n4335 99148\n3334 13349\n13249 85343\n35982 37582\n34358 81626\n22153 63495\n79197 93211\n35065 72147\n41624 57449\n25208 94753\n8550 58236\n10688 21968\n3861 4170\n1991 69391\n1963 9058\n32682 79600\n86306 88313\n66818 95359\n11514 42401\n66823 78503\n3457 65247\n2824 85133\n27991 86539\n1940 64407\n4145 76152\n30111 33497\n33602 80898\n32251 82859\n43247 94390\n37120 91660\n66336 75705\n39491 99375\n48 23656\n7550 63243\n24189 40572\n25855 95272\n63687 83087\n25393 30044\n19003 68168\n88711 94845\n69182 95642\n46241 83822\n69533 99653\n6206 12045\n31175 82799\n11183 19324\n69215 91145\n95313 95539\n31218 68651\n342 2801\n41043 44084\n83409 92834\n3178 58699\n68541 89558\n26790 93334\n8246 90699\n17994 80257\n18396 72660\n88888 94846\n25904 62777\n3176 11150\n22245 70087\n20940 77171\n12827 86344\n40025 69276\n5503 42733\n27436 38140\n12672 60135\n12209 16876\n30193 98082\n54695 91674\n22259 40319\n69068 71497\n63409 80703\n379 25517\n12351 33848\n10009 28949\n4954 57475\n53429 66950\n38889 42676\n47033 97713\n12861 89525\n14249 54124\n26701 37671\n6834 27692\n53910 94436\n68745 91170\n9476 69547\n6591 96865\n10141 51696\n41224 76313\n21499 22717\n50143 88171\n20445 29418\n68113 95288\n25286 66320\n31727 78351\n73886 89690\n90337 95381\n39279 86604\n18199 61959\n29495 41144\n95823 99316\n48895 97766\n23038 36173\n11414 82311\n22454 97395\n821 27836\n51883 97927\n23005 82587\n18969 44619\n55559 77170\n28099 54477\n17129 25051\n6085 44908\n46876 57552\n19389 93514\n37035 62833\n72 86548\n27121 50688\n27690 58556\n29111 66386\n7113 49066\n11837 55307\n58704 67093\n38602 43398\n5278 10686\n33491 45483\n90661 92768\n135 56942\n61752 71999\n76097 81314\n19545 27673\n20119 95498\n22461 93707\n30542 65734\n8247 51829\n41619 80225\n30669 76242\n1737 46103\n51774 55560\n12519 95725\n54822 95219\n2472 79054\n14476 24665\n13162 36928\n46562 98072\n14896 72939\n21388 28311\n1125 85780\n6585 99184\n70929 99209\n7988 73063\n8662 20615\n26772 44509\n55582 79890\n6241 29442\n48459 96693\n86403 90434\n25046 77119\n58932 79809\n30 68440\n59639 79133\n38450 43511\n7246 87861\n86996 88005\n26782 39803\n51887 78098\n3424 62627\n4929 43598\n22597 78534\n55568 67483\n33052 78692\n37307 86312\n50841 75777\n92329 98958\n1911 41297\n49725 58918\n8463 98032\n31774 40636\n49579 83539\n47672 67313\n55963 65493\n37383 62085\n33842 61870\n4803 75508\n75447 77278\n61429 66806\n27085 86040\n1969 73701\n15277 79607\n4664 97943\n33415 79251\n13712 42030\n2296 24594\n82423 85037\n2003 26337\n5107 84212\n52482 89465\n97914 98988\n7038 91271\n2726 8164\n9635 68195\n42063 52820\n49120 78463\n34517 46642\n30682 78114\n36122 82864\n17900 49144\n10361 83147\n16058 94708\n61505 68257\n3035 48206\n69612 89060\n81025 97260\n38138 89226\n13982 72503\n61452 69015\n13009 82090\n60248 74565\n27284 33039\n12836 81046\n19867 33589\n56244 97374\n10990 84663\n34913 38505\n37760 40027\n41374 56772\n57018 73063\n61391 76109\n31526 41240\n11021 40027\n8780 19754\n26294 98561\n1119 22475\n50556 60826\n54200 77502\n39294 61876\n21315 86487\n6178 83409\n51326 89869\n31620 49976\n67075 98432\n4635 54894\n11679 73599\n58535 64846\n46553 72007\n14749 52461\n47577 92616\n39408 49154\n25521 36717\n13549 27816\n55675 95970\n67709 89395\n26520 97116\n38444 47757\n21856 64785\n57641 64092\n36557 52260\n11322 49356\n35740 98199\n54368 84875\n43193 56048\n5379 50137\n7698 16771\n60740 83025\n51191 59129\n86304 96206\n75678 82616\n38261 78303\n51946 60251\n18754 20536\n28235 70622\n5545 52731\n7598 86318\n2617 32407\n49315 99628\n20839 86292\n6582 44870\n77642 96045\n40174 55989\n87191 98160\n47258 86635\n15695 63897\n13067 57141\n8963 18775\n66425 70785\n19481 68192\n7444 72785\n30038 90706\n4724 49478\n45690 88558\n674 14620\n15110 85494\n39798 44026\n27038 90320\n2269 38890\n3613 69703\n27058 66271\n41853 45185\n7640 98992\n12163 51780\n62089 99729\n33990 77551\n13190 84624\n64489 70161\n63012 85179\n3867 58618\n22859 88210\n2431 56307\n1794 96312\n31167 87799\n13345 81350\n33848 90849\n17081 17288\n23731 65528\n57068 66635\n83072 84895\n59766 94216\n7126 99070\n15483 54157\n11160 17222\n24987 74161\n59068 74342\n52057 80498\n56232 66937\n21166 92271\n35088 74548\n44781 49363\n25752 59118\n3832 60492\n12714 24279\n65011 84857\n7333 79054\n78761 83657\n16186 88841\n80414 85476\n49251 72019\n11563 40029\n67388 84554\n47735 58707\n2770 50870\n91234 92343\n72423 95779\n82192 96158\n33014 64199\n4173 60125\n20438 34918\n70477 73725\n34110 35935\n66954 83922\n26204 63793\n29750 30534\n53958 62116\n69118 83044\n43789 59187\n63642 71459\n74297 79076\n14867 93140\n31029 57174\n29399 54302\n42639 87679\n1493 2016\n41759 64295\n66463 84963\n34614 92915\n37520 84063\n41877 90554\n1352 54859\n19290 42467\n13773 45248\n15425 39388\n17840 55780\n26873 75592\n60248 66864\n40380 90092\n13296 30792\n38566 93192\n3101 8548\n45305 45330\n30672 72741\n10893 24218\n38978 46058\n42112 99802\n48819 89685\n17901 56197\n10124 98757\n37035 59784\n73771 99172\n47253 51296\n6223 65512\n91439 97741\n24767 68815\n66099 69492\n23638 99780\n51144 84088\n39660 80149\n7958 86877\n521 83201\n3125 51172\n60373 96229\n40252 93357\n60542 65702\n27004 76409\n42097 46918\n34023 44175\n22112 87444\n44478 55782\n5454 13878\n23085 90864\n3633 53738\n13686 17125\n27960 79098\n59198 84177\n3860 65965\n27253 61178\n42006 60673\n79853 90170\n36951 64819\n18776 20926\n53972 69025\n75266 97669\n57683 58297\n35972 76821\n40785 62169\n2257 77973\n60176 80292\n10689 69915\n49879 63816\n33949 58839\n32142 53457\n17474 21531\n31395 97392\n93196 95390\n29386 46544\n52487 84786\n25168 28020\n48597 76171\n56702 61986\n41435 67352\n74772 79393\n37266 92731\n63658 75607\n12838 72767\n7753 29995\n3034 78668\n88648 92337\n37506 93723\n37076 80393\n61486 88369\n28611 52127\n10116 19221\n18828 29010\n6642 34774\n1847 44001\n18334 41241\n975 8546\n20225 76635\n91239 95589\n2771 49074\n35103 78331\n1669 57122\n30178 32342\n8988 41381\n33716 60371\n43369 77523\n49505 78563\n5598 73063\n67574 97932\n6265 6781\n2762 24652\n3513 97852\n13291 62999\n7564 66122\n21220 37092\n3363 10848\n18760 45502\n22791 58641\n10987 73340\n51791 97388\n10110 47323\n29331 32083\n5770 92940\n27056 92699\n34416 69585\n43694 57519\n8525 20656\n13503 32227\n32329 76320\n27575 71196\n57051 91744\n76728 95849\n59869 64360\n14701 78971\n32240 50342\n75335 82417\n65478 97086\n641 9632\n13850 22616\n34832 98227\n33833 49338\n8301 41146\n45314 69316\n21174 25102\n44150 66885\n53767 55634\n70539 82620\n84125 98639\n5190 19796\n28609 37740\n4009 28831\n56778 76222\n9218 50446\n11255 32740\n8509 35819\n20431 52984\n62636 92050\n31789 91730\n18766 68287\n38748 53948\n27886 69414\n19016 87413\n10771 57776\n48549 96668\n1045 26247\n52002 80135\n36608 40088\n2817 41251\n8239 83964\n1636 32831\n2824 18008\n26744 41709\n9751 79520\n46145 55038\n25150 89574\n20293 38737\n37670 72105\n34685 50223\n76675 76901\n34858 64731\n18053 93479\n9010 59520\n23811 46202\n11222 48778\n5422 95033\n21629 89324\n31520 99923\n2581 48203\n20147 41936\n29542 79324\n10485 60451\n31023 41632\n30901 42585\n24436 53297\n22360 94369\n11215 19137\n29375 35143\n10862 56789\n84504 95237\n42972 48897\n45388 53609\n88682 91095\n46353 56889\n47906 65143\n19265 64730\n14879 21022\n37216 87835\n10067 34206\n9867 10746\n28664 42692\n19939 40104\n41598 97964\n55672 77494\n51656 78695\n5120 99801\n84958 99375\n6334 15548\n34354 55372\n3589 42548\n46494 79445\n67789 94501\n55027 94665\n37474 88836\n3252 24563\n9809 51331\n16657 98787\n47002 59267\n31607 94236\n76550 79195\n40504 53698\n37035 46722\n62395 74301\n10761 13593\n1252 83677\n12097 79271\n21624 75983\n13917 52444\n1213 34483\n61258 92000\n53378 74794\n14723 31419\n67566 99549\n21053 39387\n31084 38234\n10099 27305\n1790 85524\n14043 59138\n60023 64350\n32888 52227\n26856 49780\n2142 99299\n57885 96503\n781 49084\n6562 95028\n17738 72525\n10025 35412\n16488 66431\n1225 94604\n2549 17702\n24087 47726\n39371 62913\n50903 96581\n44508 62479\n9422 83056\n39781 94702\n36193 97029\n22426 23635\n35068 90914\n42866 64752\n43789 68321\n24194 90521\n28493 32807\n51994 90020\n57712 70202\n43353 94073\n23587 75411\n13915 36520\n57050 82154\n30032 99464\n74662 94605\n7668 16044\n33006 35694\n51910 57557\n44639 97214\n52644 73258\n47550 61448\n53440 61625\n60354 65818\n18219 54795\n96919 98441\n47032 73752\n32163 81183\n80180 99063\n2631 4850\n69321 99883\n6751 89150\n5977 55540\n43062 80971\n12712 22115\n40115 91166\n78332 84811\n13804 84074\n65012 66653\n16108 94616\n20265 33051\n10779 15840\n20636 23984\n53005 80903\n30718 85750\n51328 53333\n20087 61156\n50499 92228\n40954 80115\n28013 60680\n43860 76851\n24033 52727\n29885 35015\n20341 84844\n88394 99431\n11317 60422\n17544 59556\n52224 79243\n23370 47276\n47536 98787\n9014 26537\n41649 45951\n93438 97440\n14077 79403\n58780 61165\n5403 30578\n78760 93974\n70924 73185\n31176 91552\n49069 60739\n17534 97344\n6706 22609\n20912 52124\n57339 93633\n16166 56679\n12744 94437\n4618 90166\n82678 95556\n6732 12815\n61988 87751\n6680 16917\n43145 64297\n1813 91982\n36066 70077\n5370 76246\n37130 50430\n44564 67955\n6841 80916\n66663 90422\n38380 63466\n47941 76619\n48684 82817\n26813 89528\n28268 90650\n47893 76919\n27235 71996\n35180 51658\n34025 70775\n2682 9252\n46841 90638\n66201 99776\n24310 41886\n7881 35306\n174 73222\n24232 38962\n42166 71959\n77033 89378\n20214 80029\n2531 61536\n51030 56466\n18728 42406\n53252 69759\n74011 95176\n29184 33783\n1662 60864\n909 1964\n23947 26229\n15326 87060\n26755 32226\n9492 37676\n25873 48345\n43505 86850\n14560 70077\n9421 54772\n45186 84058\n17098 24174\n52610 55966\n6648 89345\n74803 88321\n67683 72630\n21665 91844\n1404 36855\n87126 98295\n17577 46651\n61514 99122\n15718 55766\n45644 75032\n12205 54067\n32750 66380\n14349 85642\n37541 68754\n28608 97352\n40753 50422\n74180 96586\n27929 50340\n29197 30114\n29514 73278\n70316 72120\n23829 97948\n71393 82511\n54128 73438\n2054 83509\n18793 30067\n45779 81796\n11678 62136\n7791 45498\n63409 95588\n1322 19566\n29042 45260\n2105 47918\n4432 29592\n5997 39618\n11041 24509\n29399 96678\n12541 85919\n13954 83282\n24720 33615\n3036 82678\n50887 92404\n20116 86829\n80754 90075\n12552 72982\n21136 92789\n84121 86456\n6219 37542\n32053 73151\n46578 78897\n40184 67515\n3858 70077\n10344 50429\n34855 91186\n70761 81409\n13343 63036\n17879 55848\n2164 37641\n33974 37843\n4613 51664\n1361 10562\n23083 89713\n25872 50335\n35870 89258\n10761 78185\n60275 79544\n15035 64746\n19379 23727\n69457 81484\n56346 70156\n69930 74993\n1589 81219\n43855 66713\n25464 52927\n60123 63539\n18164 28370\n83914 84200\n34968 92919\n38235 74219\n10051 84501\n41603 52641\n71440 81246\n18366 98960\n25219 96666\n19575 56869\n76219 85681\n31305 71437\n55392 84361\n1690 34140\n56143 81010\n26011 75376\n23812 83490\n66372 68585\n36639 70021\n5360 18028\n36787 47406\n14728 90493\n29186 55466\n31744 67636\n12893 28503\n65147 91574\n45076 51785\n25195 78463\n54996 59729\n62791 76610\n31289 69069\n38383 84171\n33057 75983\n84733 89107\n41227 84888\n3218 17206\n18561 60495\n71352 84880\n32630 43940\n36260 73132\n16312 63083\n5686 22518\n38130 41616\n34012 58078\n65841 76093\n53321 63319\n3428 93926\n33859 59693\n6873 80819\n27283 28289\n73087 75443\n13599 94376\n2610 12017\n73468 90293\n65037 71164\n12377 64617\n34580 70555\n70498 94565\n40706 65804\n16896 29874\n2904 54720\n43070 74278\n36942 78491\n26609 55210\n80040 85416\n8973 79116\n34878 53423\n36464 96182\n33453 80595\n56403 95041\n49974 62792\n35774 72287\n41125 92353\n9266 86845\n28665 29325\n27109 69000\n3227 21155\n3111 71410\n41412 75210\n20987 41721\n50324 85425\n48590 62139\n14442 73267\n60113 94736\n50992 70100\n50405 52044\n18277 84115\n29926 96290\n82391 94845\n35868 65179\n39023 79042\n7257 57282\n40481 44643\n60583 62119\n2478 52127\n11210 43691\n35681 87963\n6247 87778\n46459 62340\n10431 70739\n20490 42835\n11568 93040\n58290 70607\n49404 49936\n68671 93219\n5296 93526\n39589 90163\n68539 98939\n75965 78842\n47408 53643\n4810 77876\n10180 26930\n1243 98316\n17573 99762\n3271 80504\n25633 94046\n1705 49487\n9995 91270\n4418 85213\n53043 59976\n15515 58181\n9744 20523\n13996 85945\n33549 58831\n31988 52790\n16699 18735\n63282 72346\n37379 81454\n24048 60722\n2479 67436\n10572 11080\n26859 63869\n67478 82769\n91147 92730\n26125 40742\n21688 22875\n31353 78736\n12544 79808\n46026 91870\n14834 17554\n31478 92585\n43746 94717\n8515 21806\n14865 38026\n10907 24434\n31777 59857\n21956 67721\n21956 82086\n13014 79282\n62068 98174\n2543 16168\n28216 91926\n34750 64292\n25292 68922\n72297 97550\n10389 25934\n18568 72807\n57553 78152\n26411 78812\n62100 65553\n81164 95916\n61832 79123\n39174 74333\n67253 98521\n28341 34944\n11139 48717\n73769 78589\n16019 25208\n9749 63521\n30683 54900\n24213 40877\n40631 70782\n70382 79809\n4614 64305\n27537 57908\n37747 51026\n2481 68839\n63822 76719\n29491 64057\n85019 86008\n18355 54486\n75215 82792\n16777 34126\n21824 43154\n9391 53618\n6900 8239\n86781 96363\n45605 64632\n37649 47558\n7742 75869\n1683 91497\n56954 63788\n22271 26262\n5483 21655\n32642 66020\n55686 61046\n50467 72369\n4997 11283\n21110 83279\n50392 98985\n43625 92337\n30666 90097\n3033 71436\n31087 73808\n33289 90716\n55308 75884\n27792 44951\n24074 64991\n1160 4167\n24367 53664\n10917 63242\n12394 50221\n83159 85405\n7488 81439\n47770 80651\n72849 85426\n18634 85133\n56799 73164\n56881 82562\n36511 60438\n23151 42093\n69655 95207\n9353 74296\n75995 99319\n76704 84027\n10239 13894\n67007 96966\n24591 59580\n19391 49659\n80821 86422\n13657 21049\n3599 44782\n14650 33242\n6042 80422\n9313 93915\n7091 92957\n36075 39374\n14056 39064\n28798 81185\n23835 79994\n1200 11521\n19365 48666\n54045 78873\n16924 67974\n7086 73136\n6042 66004\n12443 98689\n11232 66777\n4290 97046\n42510 62861\n93780 98460\n10075 18778\n10435 18397\n25373 26215\n11667 88047\n21693 27460\n3800 91008\n50595 94171\n19696 94206\n20568 42504\n13230 88643\n7448 99608\n8894 89900\n61647 68242\n467 11679\n9914 55577\n44452 87245\n16822 87514\n7524 92414\n22127 57668\n7658 15583\n10177 67673\n11148 44654\n24612 53855\n51952 70386\n69533 94698\n29321 85772\n13241 19260\n29810 82248\n10607 95081\n69489 88360\n17430 51513\n5307 45920\n19656 91399\n31632 76825\n21867 99989\n17946 63645\n21856 63779\n58068 64304\n32197 65355\n51674 95816\n16917 18666\n26208 77375\n16459 87068\n72818 88222\n29572 80700\n3032 25724\n4768 86238\n1620 37188\n70320 79465\n1587 42824\n1991 78810\n17440 82434\n6683 28425\n63436 87363\n73914 85004\n50154 56744\n21861 37550\n62178 63724\n112 19160\n627 56878\n12461 73849\n61003 77203\n8399 13082\n40198 91846\n28970 80348\n42432 74707\n35190 53796\n15592 17818\n41981 97826\n45826 68442\n21407 84399\n26249 78271\n79195 90085\n36874 81001\n35605 76914\n85976 93221\n17705 75265\n5907 7036\n51242 59942\n16861 41656\n33664 38122\n48939 91196\n1201 92540\n49240 85290\n14140 48172\n3444 76498\n51423 69759\n82111 95425\n14723 18326\n5884 31637\n32274 50710\n2543 12487\n27561 55328\n25799 30337\n8701 37031\n23709 81873\n30660 98745\n43836 90575\n48364 77209\n73092 93673\n41076 95142\n19368 83627\n66119 87993\n42068 89679\n38792 40219\n68669 76685\n28018 53522\n61429 98931\n26188 66387\n70670 83906\n5197 35605\n29271 47215\n21709 94434\n35579 94657\n77969 79833\n13744 34351\n5204 10026\n38492 65599\n22122 95271\n13168 48509\n59784 93238\n93979 99048\n38196 78016\n2346 88822\n82165 82232\n55291 58479\n87691 96275\n91166 96038\n58984 95781\n21040 72388\n9720 60046\n65243 67566\n53575 60356\n19484 34078\n72960 77900\n15371 26643\n31477 65568\n26314 56626\n32515 84602\n6600 99238\n34572 92909\n76952 77443\n44914 67390\n78942 85382\n57275 91079\n3001 31835\n61174 62660\n4815 63825\n7388 72067\n1917 98167\n39983 56800\n25611 72244\n2426 99938\n70650 76506\n1442 28238\n1366 2822\n19578 48384\n21346 97172\n11464 22359\n9448 71117\n25839 83413\n36531 89606\n1454 95745\n60281 74888\n4567 20469\n9136 73413\n10993 30005\n14624 76610\n53079 84000\n58901 70774\n7520 79299\n2770 7235\n57986 69489\n12928 88881\n4208 7997\n25695 46738\n41928 82259\n44946 63942\n3388 88700\n44794 74384\n17448 43250\n48091 66850\n12392 34821\n49277 57211\n75872 84816\n61134 77990\n38226 87935\n6204 79005\n39527 46301\n519 60474\n21087 21152\n37322 46786\n15115 15740\n10630 15986\n67820 82736\n38815 97680\n42842 48982\n51593 56814\n26401 36394\n70485 92409\n76905 91122\n15706 60822\n29271 62125\n16606 46844\n19507 89670\n30332 53282\n77618 94798\n59809 69348\n29103 57099\n8152 35101\n80545 91934\n82060 95299\n51854 82101\n5021 25506\n1810 12758\n29107 83844\n62820 71683\n4505 28127\n76798 85621\n37419 37717\n80529 92310\n18693 41381\n59813 66284\n14719 25612\n26804 85309\n40100 47920\n43408 53174\n10880 43954\n3005 77591\n44306 58738\n58384 77864\n35002 48061\n27799 85033\n72 43733\n35022 58423\n58225 73202\n15756 33280\n41270 73173\n22030 95352\n26101 70203\n10073 69130\n13291 18140\n10749 81296\n38825 59343\n14497 65405\n37148 70088\n45106 73086\n54592 88775\n20716 23537\n62900 73950\n3974 79738\n28288 96285\n8416 12444\n22054 87238\n21900 25210\n26857 88266\n11227 53067\n5370 78390\n50677 86997\n8643 38198\n28548 58985\n4319 63834\n73803 74631\n2146 56165\n14777 43107\n52671 79420\n35978 79031\n33762 37816\n51640 51961\n28898 40923\n15380 25243\n60183 80029\n7033 7262\n31614 63065\n44845 77085\n74802 98079\n40282 96088\n10671 57539\n11332 14575\n33713 65970\n41985 91766\n57846 60714\n19695 72251\n32072 40260\n50237 56210\n1126 68161\n5821 39477\n68583 79983\n29794 67422\n14946 87916\n25368 87249\n23005 29329\n6865 16481\n13716 77849\n9598 55651\n29210 60295\n9048 74636\n7525 24957\n69044 75859\n44137 71084\n50604 69505\n67527 78723\n30294 81013\n34386 72091\n75236 85802\n28839 63234\n3729 88689\n32346 69895\n46687 82139\n10277 71610\n14880 81282\n44839 70983\n2112 20187\n59445 80583\n44302 75958\n67886 86701\n68705 94212\n24673 27225\n18439 85019\n62113 69672\n6994 11644\n54585 79923\n37506 78108\n25782 30980\n8205 35338\n21625 93580\n60608 82509\n31260 33456\n33543 72543\n19583 65774\n51334 90416\n13618 96605\n45727 56185\n49802 72136\n25942 61350\n17189 62930\n1336 11283\n9689 94105\n49106 56896\n36024 98000\n56359 68876\n6325 58803\n9612 36899\n58408 72790\n49568 53831\n8067 46266\n56291 92267\n17754 94162\n79389 94077\n21657 75348\n47178 62530\n48566 87790\n76015 91320\n32921 97600\n39284 66052\n10901 28783\n49982 60841\n38522 97158\n25863 70705\n6804 96742\n32700 88314\n6303 45448\n19190 89069\n93224 97076\n61585 86457\n33346 36563\n2020 93865\n10561 96437\n33294 37847\n54213 64777\n17117 55117\n701 67084\n39306 55787\n1839 28650\n4085 25600\n25791 87815\n5973 77736\n11936 79125\n25685 70062\n44932 84546\n58438 72197\n44614 52770\n22279 85712\n3742 29409\n57704 59048\n54106 81450\n15838 79467\n28785 52167\n35003 91633\n14041 82232\n25382 52755\n85452 87141\n16724 69161\n10540 14772\n34344 85146\n14164 19595\n25012 72762\n843 33776\n15337 20471\n39858 88702\n22962 52585\n16748 45149\n30486 98979\n39513 54746\n12889 43306\n27671 99966\n34364 83531\n55982 67012\n19343 71961\n17948 52848\n23947 55691\n13628 41958\n36287 42124\n22975 41165\n79545 93117\n10119 42935\n2749 59397\n23893 52279\n12305 23251\n21984 54855\n14879 41716\n3476 24918\n56110 88679\n31168 88107\n22227 74084\n2513 87631\n50591 75574\n58252 91370\n12746 76468\n50320 87110\n13135 60011\n9346 90676\n8322 88224\n75143 79004\n77828 86258\n34326 37787\n63554 64439\n72494 96041\n40678 51842\n24961 94222\n50801 88963\n23254 62945\n50464 93144\n5084 31071\n45011 92630\n25064 59264\n53944 59807\n44207 84868\n3147 26951\n39093 58952\n3321 78087\n28247 39609\n31814 89221\n29597 45803\n47680 81129\n39274 62972\n6 24153\n2567 11371\n28688 32014\n6358 41277\n50415 59357\n10587 98520\n53495 58512\n12106 96051\n22232 36305\n3908 62275\n75261 85603\n27986 39125\n15598 28718\n22836 26614\n4556 57915\n46798 74490\n50080 98235\n1048 42195\n7362 46788\n41795 52972\n90278 90750\n54520 71909\n1760 77152\n38140 93256\n289 33749\n20813 41226\n32090 56078\n4349 29398\n16606 16913\n16650 60944\n40333 78275\n17977 59405\n58001 75138\n30228 35924\n1059 97980\n43735 76823\n25913 98296\n28767 56214\n20176 70071\n35103 71213\n21023 38808\n24744 51869\n18309 54409\n43299 43737\n29383 98904\n24053 49194\n31167 93578\n66362 97937\n55458 67151\n7478 47226\n29805 82075\n43392 80663\n9961 90924\n15836 42510\n29741 78564\n23617 38014\n7910 88168\n5887 81603\n46365 85196\n29549 66153\n19102 42856\n20230 80099\n90800 97982\n44527 61237\n6735 68840\n26734 64964\n39981 76841\n39638 85644\n10719 13187\n23702 90830\n6613 7962\n27995 82870\n2048 31629\n46335 81718\n78570 85892\n48223 58763\n1350 75912\n65237 98142\n51520 55351\n1176 48853\n11061 62092\n58015 87278\n13652 82056\n44034 82777\n10062 97668\n13550 56046\n2552 51972\n19489 90000\n8251 33937\n30330 39892\n5074 44244\n4712 50787\n38533 48952\n45397 95063\n7877 20757\n28000 69795\n7744 77642\n60988 64467\n61047 89274\n45367 86217\n74501 98125\n5681 69452\n22244 31423\n1855 75684\n50969 82030\n37979 91806\n36644 65990\n17113 86955\n9328 31469\n76419 83477\n27982 71691\n80150 92116\n13361 75625\n8146 44985\n17918 59901\n9371 70027\n27454 71235\n25334 51553\n76235 77569\n24237 55266\n19347 69970\n56701 60186\n43621 77392\n39411 73400\n75729 87930\n36879 46381\n6086 36101\n9559 72142\n13960 91338\n24711 29481\n13510 89653\n12909 23631\n38293 68963\n57745 77213\n68426 97192\n9525 47717\n55804 66247\n52240 76488\n16769 93499\n36587 90785\n18819 23368\n4332 81958\n2740 10448\n10055 50112\n39777 57433\n23698 50761\n93069 95530\n22792 27093\n77114 84125\n67584 73377\n12785 84316\n29481 51794\n59994 86161\n37944 48109\n30130 45692\n71059 84423\n43560 76691\n52773 73833\n15695 66026\n28383 96557\n11517 45321\n32187 43240\n72099 72577\n48091 50914\n51962 71302\n14894 39346\n41387 84249\n43145 85390\n92869 92914\n19740 95920\n16936 21406\n3725 35905\n60790 79708\n9791 42279\n45177 68407\n21452 92962\n25557 62484\n57483 59051\n66541 73252\n13940 63296\n4148 14784\n3991 75414\n25753 32782\n15551 35940\n9403 99385\n44089 95470\n22284 91815\n26059 33840\n7799 68463\n45782 71677\n33223 99930\n31837 98874\n47520 62310\n75489 96306\n23978 78755\n33455 83079\n12601 84932\n45068 99739\n16255 52998\n27567 85972\n81541 86031\n34427 51089\n75566 79490\n2486 67581\n31353 37776\n42971 71491\n12401 47425\n78814 86364\n36496 86060\n63583 67879\n11149 79549\n72520 84187\n67894 68808\n4017 34869\n91039 98456\n33769 55112\n8526 96478\n84010 89750\n13977 79495\n9538 81604\n9742 70291\n15230 27332\n4597 43310\n3917 7396\n4617 32079\n38130 40018\n10054 33025\n25709 97694\n1123 42106\n15273 51880\n95754 97364\n96349 97258\n71156 74271\n18939 99645\n17193 36193\n11083 78431\n39213 68416\n45205 69628\n23375 81132\n45636 48675\n465 64870\n8728 61835\n15828 34078\n66422 97744\n79377 89052\n52023 82499\n65453 98549\n24865 95736\n3629 87855\n3490 21834\n17605 48400\n44076 68440\n23533 77914\n4332 66296\n52447 80343\n17637 85088\n16553 76048\n28016 29346\n134 21538\n25119 33219\n2198 55698\n61519 99655\n60598 83933\n55675 59339\n22944 23354\n54073 90271\n56965 93960\n38289 82211\n7656 10296\n51133 61565\n14731 44852\n1016 70488\n51362 99051\n69189 87746\n66207 97846\n40493 56391\n34564 77214\n84403 91944\n13858 39565\n34078 92009\n24337 78872\n31262 57887\n61897 91542\n36648 64444\n11839 36016\n26401 65792\n26735 69111\n25817 70225\n18914 27580\n33342 85136\n9247 53775\n77585 84378\n91939 93280\n25962 75684\n22419 90161\n12024 20693\n61253 90609\n29698 88036\n20824 25206\n92676 93104\n63422 65872\n11840 90563\n42998 60005\n26621 33475\n26268 45480\n67690 72316\n24020 40656\n15672 43601\n38970 77646\n448 76261\n34992 78620\n64146 71696\n26757 42550\n3001 38616\n29773 62797\n75722 85192\n62026 96101\n73485 84955\n26251 37502\n70875 75862\n3910 43975\n75007 88748\n47485 88220\n4461 77354\n58870 63708\n81340 95331\n22134 61891\n33255 88889\n2251 39252\n30506 37756\n26832 74159\n1629 82640\n48035 82975\n19862 45146\n8909 9700\n80495 90922\n31060 66080\n66201 86214\n44622 46251\n19281 91544\n42272 84778\n54049 54706\n9966 10482\n51141 75629\n29306 32724\n10695 76162\n17460 19593\n54667 70237\n5274 94522\n48795 88330\n12826 94979\n75346 96700\n32393 35316\n10111 41901\n18968 95471\n47001 73975\n79137 83735\n24495 69771\n33242 98251\n7055 20772\n10863 28117\n30487 68314\n4687 44608\n25021 25029\n71642 89743\n63374 63805\n24330 77399\n21782 69792\n37552 92031\n31089 34654\n4751 49593\n19019 40084\n16045 85671\n47791 49459\n47622 67563\n48198 73713\n46533 83093\n30724 42676\n55101 75523\n9623 44719\n46799 77347\n30015 45504\n11245 71015\n3875 49662\n32932 33675\n29864 55201\n15558 99397\n27256 39557\n33088 82273\n39786 74919\n68040 69496\n39162 78681\n76995 83071\n12619 44208\n1773 98030\n74466 96756\n80116 92904\n27082 78825\n56188 80204\n17798 48929\n54239 66292\n2144 14443\n83880 88324\n19516 69482\n39876 95542\n26780 67348\n12146 98788\n15299 37303\n39810 42795\n58411 61163\n119 54370\n7681 72169\n74367 78613\n4750 66641\n78070 96155\n68614 86364\n61598 61984\n21980 95001\n56489 57381\n647 10384\n27154 55440\n14958 56322\n54566 95482\n5514 36493\n70857 76246\n20230 77323\n20927 78924\n51052 84711\n13549 84803\n10342 12559\n59712 67586\n12078 58814\n83 9343\n1685 4496\n22314 60130\n2535 54273\n56003 89770\n18486 80833\n49305 58706\n40203 92396\n36454 68811\n62544 99712\n12863 24159\n22598 44073\n5678 32334\n17782 68143\n38259 67555\n33221 51880\n34445 69047\n21442 52899\n26196 63206\n16157 51810\n6260 9037\n13152 50923\n12170 71582\n48194 52051\n21836 23589\n9437 54489\n6648 54187\n15186 83667\n909 3874\n20419 78865\n4516 56605\n87666 97629\n60857 97183\n4188 54514\n69080 88434\n1547 63694\n2104 65580\n1740 2115\n34950 44019\n18072 66937\n11342 44911\n17788 38239\n48389 60349\n44188 78892\n31333 92655\n24267 88690\n19155 72576\n47647 93398\n27003 97633\n32676 88413\n39362 56087\n38567 76359\n45187 48113\n45921 74104\n60574 92184\n9278 48274\n57430 84850\n49965 79442\n77501 95444\n43447 54794\n49243 64284\n35952 45862\n10717 63720\n2530 64233\n11158 18917\n13692 28866\n48742 83820\n27311 55804\n53011 64816\n41054 79794\n7967 53965\n42196 95074\n82357 88850\n72542 82881\n26437 38650\n23196 64188\n8393 32559\n27635 83591\n63934 66549\n1725 83754\n7156 98459\n14797 99216\n71818 90383\n18658 97440\n9634 26490\n78102 90894\n55254 80468\n47558 88401\n39685 94928\n43281 44778\n23700 82811\n74914 88558\n7577 16131\n70202 95278\n1536 14229\n36243 67846\n68927 95850\n8895 99965\n1823 70903\n4387 95610\n34388 88193\n33601 77975\n5325 59412\n19736 72710\n20608 20914\n19602 50689\n28775 53165\n26976 59223\n71646 98525\n9333 22708\n29529 71543\n26249 54591\n6902 10536\n9962 91518\n25616 42594\n19255 91359\n68050 82717\n6342 40821\n60897 88967\n85853 87843\n85277 88510\n82074 84167\n9757 68714\n58279 69630\n5140 53825\n66643 91929\n11552 31113\n51526 80160\n167 83230\n62124 71486\n4026 43816\n49200 72452\n38214 68927\n25479 92892\n15749 23685\n2060 27120\n13854 81017\n24628 77643\n62508 73151\n4430 85151\n12943 28455\n69117 78007\n12006 94440\n29813 41292\n14914 59611\n27469 77581\n37600 97054\n4446 65698\n3015 55402\n22195 55102\n63951 75496\n29138 75250\n5019 78088\n74138 81728\n62245 99313\n7929 23615\n26872 38971\n41475 55491\n50452 66898\n69244 82032\n17701 24498\n28412 44810\n73960 85328\n2175 82220\n34278 84835\n22998 42941\n2015 95937\n79349 92615\n1835 37995\n22820 91329\n70606 85404\n11450 32453\n23778 50028\n32072 75374\n36927 45694\n3780 44691\n23304 63115\n71214 87202\n67851 98778\n14692 63073\n20991 73294\n19486 97377\n865 64077\n51485 57338\n59090 70166\n21586 55110\n33263 82609\n86123 93373\n4271 98113\n32067 71855\n34942 88272\n42929 49464\n27162 89524\n15014 99225\n39738 79591\n14782 89705\n22006 90575\n17148 99657\n32428 46612\n1969 57653\n8039 19765\n60074 64144\n33418 63202\n63284 77685\n52692 72971\n38566 45149\n13625 15786\n72952 89250\n15215 79163\n31629 60647\n35191 39199\n5969 90461\n42223 85510\n39969 51757\n93868 97631\n22281 37573\n90527 97426\n82491 82828\n14037 54355\n20949 90635\n73214 95532\n543 25809\n11549 20193\n21630 62216\n19243 79727\n26854 77394\n65092 99402\n9559 67862\n29940 78808\n64172 65924\n28576 76022\n2135 81796\n58138 86961\n6652 72150\n18634 47541\n33847 42348\n57114 93955\n77316 92424\n36100 98002\n5991 20040\n9257 72267\n12263 30114\n45587 45934\n15193 63096\n25546 57280\n41223 79316\n58679 76745\n2812 58661\n43853 97666\n31417 64428\n51435 93731\n71102 79475\n77434 94280\n25155 99529\n6342 73906\n37516 80247\n33897 52920\n35185 89421\n3568 15094\n11492 94036\n28393 35539\n35122 57772\n55242 73803\n55037 76956\n26055 93813\n36887 83311\n18900 70757\n63861 99934\n2703 57049\n46913 52996\n10619 51409\n56275 97119\n51591 76461\n61841 96590\n41148 96635\n38686 88762\n16774 88152\n74359 94557\n75022 77919\n4770 35399\n59665 99728\n78403 83724\n7745 54631\n52622 74840\n38805 73942\n18742 47783\n4779 72503\n69935 98742\n27428 92536\n22349 71276\n19214 83891\n41759 69555\n2419 28567\n7839 25881\n35115 81279\n8527 22374\n61551 82117\n34869 76680\n5664 70870\n2748 57844\n58960 90874\n32995 51931\n58813 60585\n38491 67609\n25931 29190\n36812 68764\n36633 52778\n1126 91608\n4530 11737\n8698 71899\n9871 90592\n58042 84717\n35019 99258\n31806 33746\n84980 94461\n47441 48990\n23819 91610\n66993 74556\n18636 73540\n5241 98145\n17474 72525\n31752 57729\n44353 96478\n15179 62436\n41846 69045\n35337 66905\n18121 89483\n10622 38924\n64589 79132\n15086 30802\n28921 64920\n4681 70491\n42693 56995\n45512 54965\n34349 66636\n66331 84860\n46570 84450\n46538 88437\n37429 61027\n25902 75455\n10562 37284\n56874 97953\n2250 46749\n37036 66425\n76436 87107\n24229 77409\n17295 76290\n59656 95635\n47397 48464\n51796 86223\n65145 79889\n81172 81901\n32380 36638\n30493 87387\n52610 90234\n61102 65938\n7736 80911\n71382 79884\n45452 69775\n21664 62608\n43949 80865\n3911 83448\n8449 38791\n1462 59924\n62838 83878\n33415 56600\n46272 86910\n26038 84783\n18596 47336\n40475 76768\n29830 63451\n18064 79130\n16255 72171\n52458 73856\n19407 50143\n23948 98917\n29293 99121\n16579 23254\n70811 91648\n75918 98533\n87878 93281\n17827 67700\n17066 79336\n18014 61658\n17127 85287\n22116 93647\n12025 90193\n54320 65714\n5177 8183\n39321 98128\n23672 38552\n27851 83670\n72488 79864\n30542 47729\n14774 20615\n22101 39156\n77499 94483\n30824 30973\n64832 92812\n48187 86369\n19679 83958\n1059 22800\n83126 99064\n29134 60259\n57270 72411\n16470 73314\n54107 89480\n32432 89336\n85162 89526\n35378 93757\n38416 61256\n11205 78029\n15018 89071\n29894 75698\n31493 36860\n39498 88500\n68647 97341\n29608 77743\n23622 31193\n6221 26400\n8118 91428\n25143 30640\n14549 72074\n24319 75794\n15168 99927\n54694 94052\n30420 67383\n52781 68481\n7539 95577\n81382 99312\n52120 63358\n7097 98925\n37074 76857\n9902 33801\n37514 66909\n52850 83455\n10947 26826\n25006 66779\n32206 47571\n1854 52951\n17469 35521\n10774 14654\n15876 59265\n2237 33713\n22839 39392\n10292 28551\n57578 64502\n46649 50800\n23080 61957\n18111 60069\n42591 65678\n5738 76033\n48067 57101\n32626 84360\n2128 32356\n8313 82116\n70422 81870\n3269 28286\n19216 58525\n2693 48432\n8449 43431\n63722 95037\n27150 68140\n288 7388\n87822 90698\n19711 20857\n6648 57017\n85260 86541\n51245 88359\n42004 83296\n81913 98176\n6978 15660\n62949 99957\n37149 93169\n45948 72825\n45815 91423\n1952 17309\n53849 91522\n58666 97857\n27835 30998\n55128 83023\n30312 65247\n79117 82866\n32956 83612\n26407 63087\n37137 74556\n43968 58362\n54642 94044\n34409 84684\n182 33729\n10523 28066\n17012 42029\n25151 62916\n6847 71712\n28499 61418\n53734 85609\n53703 58099\n34753 46838\n22145 29018\n38138 71361\n57363 72288\n56209 97899\n9784 54554\n18015 19923\n1064 25726\n57683 95143\n67823 90454\n49722 58534\n18625 23161\n18885 20391\n71247 85507\n75941 93089\n5320 85844\n6878 12909\n20490 88160\n37423 50943\n26028 63541\n26838 49440\n44781 64768\n32595 40646\n39755 57241\n355 3170\n12040 94493\n4707 35503\n63169 70352\n7359 63755\n13192 85041\n16449 59908\n307 6234\n79118 96043\n395 67784\n42093 76801\n25782 45474\n1092 64194\n24423 84351\n20051 73074\n61375 91136\n37597 61371\n16516 57456\n2466 91929\n24405 83897\n10069 15749\n13898 24125\n22174 35851\n78589 97287\n22557 60131\n60850 61124\n61171 66223\n4171 33284\n20658 37944\n21556 64519\n13914 43671\n65409 67730\n19401 33575\n78584 96202\n56829 77663\n1753 42200\n50539 53340\n31622 95818\n45368 82972\n29485 85153\n5704 34833\n11033 59100\n53057 80680\n48127 81931\n36467 65975\n29348 68640\n65800 78285\n14115 48740\n3792 79174\n39480 93708\n10031 96002\n30269 95878\n6960 24867\n22707 36185\n88851 93599\n23087 33781\n3912 93576\n79331 96193\n62040 96176\n4846 99047\n29980 63326\n57473 99798\n78319 89105\n6575 92930\n41735 45385\n15988 16567\n7077 28012\n808 86883\n21562 46420\n32783 82104\n13301 68756\n21497 27035\n69710 94253\n2863 55541\n37674 82431\n26249 27570\n39375 98859\n20985 34010\n79462 91015\n61438 81693\n46986 97893\n55622 87504\n1432 99593\n14376 64105\n46974 73408\n58 89327\n17873 43492\n82577 90121\n14357 30357\n39841 84140\n46365 54460\n22336 76167\n32487 55540\n69272 87303\n56281 57153\n31303 80675\n23627 90859\n17709 53915\n39188 68819\n4200 90752\n16847 86147\n38758 80753\n52196 64959\n57107 61313\n49450 65424\n5486 90629\n22979 32415\n68356 87102\n12919 46074\n6893 41514\n10065 44379\n34368 61361\n23918 61116\n36471 78210\n76279 94321\n5525 63973\n19085 44626\n11244 57257\n66629 68368\n85783 98554\n49394 78480\n9870 69484\n19641 81285\n3936 78879\n10446 86737\n32777 85378\n33587 91720\n72309 81829\n57948 92473\n942 92835\n7116 43829\n57108 88933\n51890 56871\n21411 36643\n17648 58250\n36717 88455\n4427 14915\n88995 89428\n6414 6760\n38641 95826\n1197 1975\n53646 54463\n8109 26703\n38675 63666\n7647 80642\n1891 11045\n4667 45197\n7631 23303\n93457 95151\n24195 71151\n83267 96508\n4135 51884\n20839 38286\n692 58857\n70804 93297\n76413 92370\n2013 13466\n56098 83762\n45512 46300\n22149 26703\n61511 89599\n44502 94645\n19506 24768\n354 22337\n17620 46733\n36630 46991\n39980 41109\n52050 76359\n1912 8448\n54775 63539\n57479 74570\n3742 31198\n7739 96354\n31851 58863\n8600 30530\n39325 54472\n79782 81237\n50141 59791\n12208 99411\n14019 85855\n16885 44149\n45729 49581\n22964 62536\n29464 64177\n28067 85439\n56671 67730\n14847 55453\n20547 27382\n10462 99603\n43628 90010\n38915 39463\n78227 98052\n2642 34938\n6494 54224\n21336 35198\n33264 80279\n62544 69490\n38284 48046\n27451 31930\n28929 53597\n15051 55236\n56054 83178\n808 70459\n53505 64731\n53747 79242\n5007 46439\n4086 37214\n8303 81982\n37897 63973\n53956 76894\n45835 49263\n14302 56484\n51423 94054\n16232 52623\n47211 65280\n21528 81999\n53739 90326\n3455 8849\n42085 52131\n1905 85324\n46416 49762\n73947 77756\n26901 36961\n2059 73744\n6250 59590\n30653 52172\n39585 80816\n2341 63781\n15174 25939\n38131 96802\n67495 70597\n32505 46717\n91628 98531\n13757 39756\n71949 95873\n5281 16362\n25529 45261\n67143 85022\n6621 44651\n73236 96569\n4041 47613\n1033 45171\n54163 68429\n35864 77904\n35766 51178\n52961 94136\n3247 70978\n1729 55950\n14628 48624\n31781 39991\n47033 73806\n59876 87583\n1686 99911\n7164 47006\n16231 97283\n77397 79949\n24121 48222\n23639 64130\n8643 83377\n44227 71067\n4548 68167\n6542 87057\n36251 98090\n14423 26396\n54956 73886\n32961 78891\n23452 55250\n10633 68263\n18663 48499\n42284 85858\n20213 86288\n9844 70618\n38649 41615\n57404 71784\n62132 70633\n48778 77360\n31906 57780\n20490 85336\n43459 60280\n67566 91603\n13752 40277\n36686 67687\n320 92327\n13723 49958\n39922 68824\n12635 61912\n39748 98706\n34040 99439\n95099 95967\n55590 92727\n3342 88737\n56508 81359\n24812 66684\n44286 99676\n19711 84039\n36179 93886\n45061 63822\n1442 65890\n58403 89867\n15 5623\n44495 51811\n16031 32554\n24988 31097\n11165 32969\n19241 43188\n19831 28924\n65283 72079\n12951 57629\n27473 48833\n4527 7091\n8735 18296\n29738 64462\n18952 19776\n55463 97202\n29871 58276\n78894 89753\n1847 14326\n12609 58254\n27378 46229\n83628 85186\n28014 94873\n51733 75730\n80883 84886\n53922 64276\n83867 95526\n824 36348\n20441 87380\n18618 22018\n5351 6119\n20069 98115\n21705 32448\n72326 84811\n70875 84559\n21112 55562\n10100 14849\n32381 92382\n2594 90331\n32822 54289\n89463 94124\n31180 91933\n50964 74009\n34153 65615\n17167 31567\n55829 72489\n12188 32854\n45222 79941\n44865 63494\n34071 86777\n66369 91998\n67677 88409\n31386 49726\n5317 81559\n31089 59483\n57184 71565\n2419 37772\n49828 87395\n60540 89963\n41661 59922\n80517 81744\n53053 62476\n18005 89188\n17366 23822\n50883 72268\n35031 83883\n27515 49397\n32681 76318\n47698 57891\n31881 90924\n36883 39781\n20337 62872\n38002 43633\n26344 42225\n63561 77066\n28341 93307\n414 94921\n71898 91079\n36530 51735\n35448 58652\n6037 9422\n5391 20211\n25415 28491\n31451 62583\n43600 79629\n53850 71231\n12276 30190\n16045 68065\n1634 56794\n29095 87453\n88960 97301\n68103 84140\n31450 98770\n16669 67565\n14164 55228\n7228 93360\n16278 96814\n58001 89651\n84749 98941\n35165 61987\n4593 22844\n45780 50061\n16118 64595\n14627 18822\n62498 83848\n1823 80033\n39777 65824\n4613 24768\n5168 31984\n49200 74207\n79282 80771\n30008 49490\n22183 54797\n4028 88981\n4370 25239\n7567 91510\n13059 39504\n33417 69577\n93966 97280\n85882 92124\n9299 77715\n55994 69714\n75641 90928\n43561 98358\n32860 75636\n89438 97672\n15945 68179\n54813 92960\n37286 55664\n73867 90474\n15873 91359\n71942 94392\n28956 86026\n9033 18176\n11508 72832\n29913 80103\n37631 99919\n20471 95485\n48959 64057\n42712 66076\n4461 48806\n12447 59777\n29928 97823\n3668 79299\n7921 41521\n36039 87646\n41276 54183\n20639 22706\n29307 44124\n28112 62736\n50994 63379\n17014 59655\n29736 68444\n69591 88023\n1990 74792\n29193 51728\n11482 64842\n6861 65347\n35915 54299\n35886 78520\n9653 70984\n32976 70614\n81477 96487\n15417 80105\n9004 45451\n54233 60228\n18049 22416\n5721 52458\n7119 65350\n42402 89169\n19184 44004\n4854 14675\n9894 20280\n1676 51561\n21358 84682\n28098 30042\n72285 73246\n14427 42432\n33175 99932\n26099 89156\n32790 96687\n35884 52493\n18270 44386\n46902 57754\n36762 52291\n37715 49129\n35968 88036\n39150 79480\n6840 18299\n2171 61656\n23908 30650\n545 20165\n16872 50815\n29296 56444\n24446 70176\n2799 72635\n20494 83882\n68360 70175\n46394 52379\n55341 81363\n28104 37575\n28496 90560\n8175 84201\n31782 82505\n7620 15875\n54981 62209\n16389 21434\n39400 76794\n68756 73195\n18980 19598\n16306 86866\n20548 40258\n52197 61335\n70597 99134\n16288 36723\n9311 51992\n34098 51375\n39126 42604\n59169 96523\n61618 82751\n22163 93511\n47982 70851\n32766 44942\n21555 81881\n9636 84888\n6540 19492\n7342 93342\n65551 98990\n44332 50738\n34055 80452\n17886 94161\n28997 99686\n28269 81044\n25743 41536\n21439 28493\n2651 8665\n31636 50533\n19076 96442\n45402 49494\n54900 59282\n23009 60989\n19164 82894\n7630 64936\n26309 99845\n50728 73048\n17087 80348\n18340 73258\n46098 54664\n73728 99724\n39149 76084\n55832 63102\n23815 57696\n71916 73496\n1445 39558\n1629 79244\n54705 68293\n59569 92312\n45208 73304\n69042 89040\n26625 91654\n20599 33540\n17995 72994\n18335 85505\n73258 88032\n51358 56184\n19358 24668\n371 77221\n29336 50240\n49884 98482\n9262 74537\n4217 39097\n49283 64247\n1577 80272\n60052 65638\n23936 82145\n21498 35958\n23899 67178\n8046 59328\n42248 90705\n49925 59044\n79064 95784\n75664 98122\n31941 43557\n7572 8040\n53290 64763\n19681 66992\n25657 80008\n4543 59836\n5992 40103\n30246 84016\n34688 68445\n47692 49912\n6941 32670\n12625 61476\n42726 82098\n9724 65616\n47912 60947\n5922 92817\n18775 40096\n9512 50505\n31350 71947\n10270 99650\n19087 25023\n23812 42569\n49925 66318\n75875 93301\n29489 85562\n3129 92916\n96482 96962\n39779 45518\n95790 99588\n18099 54964\n28012 30987\n72752 87198\n21504 29873\n7774 60159\n19759 96391\n12059 82592\n35307 51407\n57511 92136\n16983 56496\n149 96535\n23668 84957\n72317 73270\n1189 24769\n42106 78664\n13715 38531\n19714 49841\n6900 80045\n94173 98123\n21507 39967\n80762 96015\n29874 80513\n45549 64544\n4985 44608\n78304 79655\n25920 31428\n49623 53089\n2772 87145\n52352 55689\n11014 49373\n3818 70324\n71450 87280\n54013 98800\n65437 82545\n29547 77239\n13193 38830\n18231 19049\n3169 38609\n3711 3799\n36620 49788\n16201 74962\n60575 83047\n14600 67781\n11856 23172\n86276 92517\n5819 56514\n73285 86821\n83927 87975\n27905 69720\n15180 65770\n14985 41391\n1121 23453\n9653 78240\n19764 66646\n33784 64274\n35558 41559\n11800 23209\n17828 57516\n39243 54585\n20799 90399\n6816 48179\n20617 61882\n1825 7530\n35513 74594\n41242 66628\n4018 70325\n52555 94266\n25241 30764\n55145 63284\n54907 73505\n29421 33569\n55716 99818\n18888 67713\n23730 48667\n58010 60937\n34417 84201\n42685 91079\n78732 92765\n40366 90924\n70185 73984\n86813 93757\n23007 76446\n11803 51120\n47766 81595\n7882 52048\n74038 90646\n51899 77228\n60669 65411\n11104 68290\n56645 67098\n22357 42526\n55084 99819\n43274 89302\n15215 49382\n5623 87422\n2031 31013\n11197 47208\n3405 5020\n65371 79430\n76535 89525\n10284 28064\n12636 30320\n30508 79989\n31371 89730\n23299 45346\n13184 85446\n61273 76058\n61324 97805\n13273 68059\n42473 88804\n11667 38497\n69991 72850\n14543 62613\n6377 93196\n5462 50090\n58981 89519\n37202 67563\n8335 10811\n27728 44051\n44601 48298\n52221 68968\n29837 32122\n24395 58318\n12526 42870\n56179 85240\n2901 37812\n8827 20819\n57358 60716\n1582 99626\n26939 72510\n24381 78637\n83749 96208\n37103 42851\n71441 89501\n3280 4383\n58098 99282\n4944 64711\n86638 92113\n33972 70410\n44446 55553\n7825 95016\n30731 57892\n71255 93427\n3924 97789\n32982 40804\n39661 89765\n25968 95369\n3333 79339\n17594 34864\n4039 44370\n86662 93876\n81118 81195\n25525 44584\n53887 56654\n3494 83319\n67023 93196\n64540 83361\n19713 58726\n58174 92386\n55639 89438\n16016 43588\n43092 73268\n80087 80868\n7470 11845\n5815 42755\n29154 58896\n10051 22368\n70110 92785\n55350 92950\n3355 25966\n26947 34274\n12649 87116\n73861 96065\n5994 89875\n6082 82327\n6961 50190\n18717 76945\n48132 93246\n45132 73579\n46096 65343\n25924 80649\n10550 29950\n66277 66726\n24150 65746\n3982 58672\n37017 70644\n33704 43008\n55721 81300\n35922 94189\n6503 62261\n69274 75455\n29534 51910\n7852 19018\n43595 47481\n36738 74278\n22384 27173\n37927 61256\n3976 71512\n42400 70159\n35257 72062\n35488 92141\n41580 51110\n53213 66873\n46869 88186\n82815 89012\n27954 71313\n17435 66392\n49120 69182\n35820 55632\n49675 71573\n77328 84899\n34852 83345\n13581 80909\n66112 70658\n26570 56977\n1701 49338\n57054 77888\n8026 70810\n12595 76355\n43692 47440\n29903 94313\n20739 94371\n26057 90871\n22336 25741\n60365 68534\n2486 77094\n48661 57339\n23731 86326\n39714 59552\n20351 73425\n68325 89883\n50947 98020\n79820 81328\n19148 28149\n37240 91293\n10316 97876\n23288 87313\n24901 61413\n18385 35084\n16682 38540\n3346 3610\n42797 60934\n65052 80706\n30494 31767\n13218 96799\n14085 49532\n9147 95284\n17527 96008\n6749 21811\n21188 50701\n29825 64569\n11822 47833\n17284 86994\n4058 94229\n7962 26259\n29739 74985\n14617 72836\n18911 31751\n27810 64657\n91300 98515\n11740 97554\n1965 79882\n6026 92006\n44878 75383\n10955 43886\n30888 83234\n21739 98957\n50015 81663\n1803 38529\n11319 84036\n51908 96719\n38531 61831\n2813 94625\n9737 84970\n3661 78898\n5489 90300\n13805 25214\n66074 71045\n13895 40082\n35221 54042\n14662 65406\n6762 72571\n44758 61203\n60234 86173\n2302 31495\n27112 41179\n10846 51223\n64458 87468\n18841 23693\n10144 59204\n11111 54541\n18623 59418\n52190 94190\n54720 99057\n4015 92456\n2895 51019\n77613 96020\n7105 76237\n77046 90049\n7745 19260\n67866 92875\n63156 70450\n59068 69481\n15421 30163\n36816 69596\n18645 34008\n14226 18757\n49323 51026\n22854 85446\n47973 99603\n29640 56285\n37263 50247\n58446 63914\n55673 73790\n52275 61047\n47137 98626\n47773 87626\n37086 38194\n4319 83989\n69606 77007\n65415 82502\n17938 89409\n59277 74780\n10916 48724\n6219 34148\n47741 91497\n17897 49410\n12826 31091\n11766 85976\n1738 72045\n46493 93524\n18770 48901\n14385 70908\n302 20120\n51076 79786\n3129 50139\n20514 62298\n37555 57193\n33470 45860\n39972 54950\n84339 94069\n49943 97215\n6353 9964\n13048 71436\n19456 62930\n4578 10219\n429 13634\n2288 68702\n73346 92634\n52274 94436\n10186 62190\n35627 92470\n10880 27736\n42691 82299\n10637 70531\n14851 94159\n73486 82934\n11841 50608\n25333 44542\n4893 8412\n50429 97027\n2418 14117\n49767 68815\n19065 56177\n22596 95798\n6172 45144\n35778 47211\n12620 15046\n3679 82522\n23130 46812\n14411 84165\n38310 97545\n61653 99550\n34531 40999\n41636 76059\n19820 64837\n71353 93210\n47205 77066\n54473 76175\n82892 94132\n5554 30924\n57137 86122\n52102 82537\n32596 33014\n36094 63210\n37081 37399\n29121 97715\n13060 60347\n40397 85284\n78226 99555\n12981 14681\n78321 88185\n54073 73432\n16721 48630\n3690 82642\n24772 60080\n37616 55441\n44976 96665\n12405 86909\n36347 69751\n36725 86319\n25805 90019\n30744 85999\n16114 72916\n67987 68942\n67287 77116\n56591 68969\n53954 66932\n34651 49181\n35520 70363\n79917 94734\n1468 31035\n3744 47345\n19861 57139\n56156 95610\n266 82557\n15425 39706\n34505 73743\n906 57627\n9308 46212\n13390 20119\n22859 99803\n8361 24763\n55525 98164\n86296 98804\n67875 72890\n16537 41128\n79786 97194\n44376 85500\n6839 82946\n25031 70456\n30554 70436\n11650 40154\n43120 85531\n31228 68790\n8268 12318\n5845 34099\n22731 69229\n8813 71363\n21488 61192\n60140 80438\n1744 91571\n11792 90026\n12972 17516\n42241 51661\n12632 72684\n53034 56688\n31694 74045\n18742 55321\n61194 67461\n20261 99344\n10229 33002\n44434 44980\n47131 54397\n51092 80435\n21060 34325\n25113 63781\n40980 51468\n23580 45665\n50314 77349\n14357 89680\n1409 17550\n33814 68681\n1307 27011\n64602 93311\n15782 60421\n5098 45533\n23374 51037\n11287 15645\n60767 81236\n13290 84467\n70691 72906\n24262 71945\n17235 44192\n22991 40224\n81657 86551\n45005 68477\n13614 49993\n39733 59767\n11953 85026\n15180 40184\n42819 96499\n63067 83658\n60463 63751\n33676 67136\n16420 62437\n12481 98407\n25330 34536\n55435 57087\n40314 48159\n10200 18342\n1175 15596\n46471 96519\n50125 96993\n53661 73932\n16828 39362\n3353 99248\n37940 63678\n43282 71734\n5897 24778\n8780 18917\n30260 33892\n63128 98551\n27366 48036\n44437 61555\n1070 71637\n21947 99859\n38172 97801\n4354 50783\n44877 46992\n61369 88136\n30577 32852\n35587 49547\n87369 98528\n30774 96491\n35400 48996\n31202 61090\n3624 29113\n57335 92313\n13813 44225\n9628 24258\n9461 28788\n19297 27027\n61599 76977\n34031 80160\n51980 94087\n40244 86459\n93270 99177\n53557 65774\n22200 54949\n53254 65032\n50295 77562\n53410 71129\n63670 66341\n4631 25726\n2446 99188\n30894 48399\n26867 40604\n25581 69280\n2083 52038\n78632 97296\n16585 63708\n24476 28108\n68675 83897\n72029 89603\n47194 48105\n40343 44192\n16847 90768\n54841 88746\n7978 89713\n30159 53202\n39407 48840\n21728 27819\n39209 47010\n75170 95602\n56400 79363\n2512 59537\n88503 94661\n50331 89429\n66462 85843\n75451 97957\n49080 61603\n37917 43261\n11708 82737\n27766 51142\n47605 59742\n21098 29062\n40461 56743\n32152 61950\n3052 55757\n39355 43992\n49364 96695\n10373 42094\n79959 97878\n39887 99097\n39343 57362\n38064 40481\n2425 96883\n56742 76538\n987 22678\n39447 82803\n42244 96972\n6987 9140\n25167 41864\n64062 74237\n19840 33816\n26685 95935\n11066 86905\n44223 63418\n34486 60468\n29819 51929\n55412 57706\n31318 82985\n67373 77297\n52501 80808\n15082 47691\n37824 65863\n34829 95285\n4003 40117\n60876 63730\n22781 72945\n63066 98318\n80611 81333\n39518 65998\n7540 17381\n8595 68257\n44132 95200\n9164 12985\n16590 53447\n53676 94406\n44412 94258\n89165 92892\n3663 77193\n55991 98844\n52352 86486\n11718 65935\n6699 98170\n38036 99314\n62084 88548\n86268 95190\n52998 80418\n35634 50696\n7926 78253\n16172 43762\n57890 96460\n51670 71900\n31776 70256\n7218 37272\n56750 90469\n33707 98449\n30832 93395\n35654 59525\n1687 87651\n22722 51221\n50065 92073\n38184 56807\n7748 27603\n11492 15334\n31411 67396\n14187 75296\n20182 88413\n17654 90461\n34414 88061\n39893 79893\n75367 88224\n40832 66271\n714 45868\n68620 81086\n7792 43958\n13207 63974\n48795 88242\n8320 15489\n26900 80456\n38458 69612\n5944 99751\n29060 60909\n42129 58490\n38506 93480\n7521 81418\n14053 79797\n51619 61049\n12438 46822\n18840 67023\n50183 53680\n13349 76219\n63721 75483\n42739 83069\n59748 91921\n9095 46283\n7418 57427\n29631 92764\n5511 54020\n59686 86753\n63750 91518\n13818 80423\n55618 68514\n42524 67347\n20689 50084\n9571 77741\n59146 60543\n37039 44072\n22032 45344\n25542 36825\n5572 35976\n15544 50804\n13582 81266\n87537 99365\n9333 95126\n19284 97214\n71825 72491\n28399 86008\n3285 77850\n60581 88989\n22586 87615\n74160 77007\n18636 95121\n56014 89702\n35442 44263\n61862 94499\n32868 64786\n37968 69764\n13954 64378\n15237 62234\n29638 75034\n1893 21864\n46519 80428\n4941 79347\n36439 95763\n1792 23707\n30572 42103\n12245 75635\n25736 98674\n16981 57833\n27365 93428\n43308 83834\n35853 79796\n29603 75124\n25896 72653\n71764 82799\n64258 67039\n77346 88487\n21125 72387\n38322 56393\n28471 61237\n65854 84489\n32160 54713\n19172 90060\n75540 91700\n21973 76272\n2988 22257\n11799 39702\n35299 81156\n4719 51582\n13213 69850\n21513 31327\n6353 16841\n36242 50570\n74034 79808\n10794 14630\n33644 81459\n65056 99543\n57505 58621\n26438 58766\n27766 50322\n10969 61880\n11807 17287\n48666 79193\n5731 91916\n45019 90937\n6624 68541\n81457 85281\n2271 29334\n49655 66426\n24708 81454\n29384 73944\n24188 40636\n15674 38443\n3770 87494\n1182 53210\n29667 85404\n42747 74719\n56129 69322\n26576 36372\n38452 85820\n79005 82744\n1215 61906\n70727 76096\n47293 84559\n47625 63948\n49355 96102\n28143 80570\n49 24443\n18507 75477\n15312 66519\n36446 59188\n40630 99277\n62969 77070\n25880 70661\n57990 60656\n1570 10844\n45494 86232\n39961 49133\n24076 41134\n42749 50423\n10013 49519\n13020 30537\n43798 69719\n36472 91551\n39212 73624\n1644 40983\n20774 94052\n46340 80160\n43712 71216\n25786 98220\n48181 62909\n29295 98940\n43443 87302\n30939 49805\n25001 40873\n51659 64207\n55630 72654\n1664 55222\n9757 97624\n30292 76025\n21549 61314\n40467 64743\n38920 59696\n52281 97916\n11838 91765\n25787 84064\n28881 70162\n39788 99798\n26060 96448\n62838 94177\n3583 24942\n6507 82223\n8971 39336\n4730 39974\n33380 69320\n10123 58883\n11049 40957\n35461 40536\n56546 69619\n40642 75481\n39202 57734\n20558 27159\n27972 96240\n13715 72057\n19447 98128\n43001 75707\n47425 98383\n49656 79378\n28906 54696\n7324 47881\n28277 73817\n69154 87291\n54466 61861\n54091 80955\n49116 50208\n5407 96918\n48014 49998\n55257 78335\n26388 30116\n51061 93126\n18820 77622\n17341 67759\n63790 66818\n15349 71387\n3687 62352\n27348 64333\n54085 96280\n16642 34554\n57777 89679\n15373 32081\n18598 94136\n2684 15155\n12826 80447\n6104 80772\n4011 98298\n50388 84940\n32447 90797\n41573 53586\n76463 80719\n15001 66397\n7082 42993\n73765 93540\n8327 71792\n46112 51148\n6675 68615\n28931 43195\n86462 98894\n19839 80386\n36768 90236\n4028 23127\n59243 85287\n38361 58958\n10145 39488\n37570 85700\n17333 78042\n56195 82649\n16407 50684\n69351 77139\n63840 80865\n43100 90867\n35524 96536\n30240 43772\n27508 70705\n4754 99365\n18768 20968\n34748 88800\n72224 78805\n3755 65691\n38587 62193\n42298 90700\n70382 92124\n34905 94458\n21539 65439\n18011 51095\n70792 74984\n31879 91368\n30658 64657\n68380 78633\n12057 84562\n12814 67293\n54638 82855\n42092 75661\n1236 43327\n80327 84143\n66343 76677\n35837 97792\n16138 24154\n57586 67872\n20305 41038\n11306 77578\n25221 46755\n83098 85179\n8950 49069\n7486 68480\n27793 43631\n2435 11689\n5676 50756\n16574 81786\n30910 55703\n6085 48387\n15255 38380\n26539 57536\n3544 42939\n74263 91292\n6777 88849\n4848 37058\n36883 79477\n17245 35823\n6319 21250\n72425 90674\n67608 88161\n87663 90049\n36298 94402\n60844 66422\n50570 54765\n3322 21384\n5159 15357\n78316 91717\n70444 96689\n6236 94662\n41416 70370\n33602 97566\n14070 92027\n23412 44930\n45773 66412\n14365 65191\n85697 96834\n8276 10686\n20903 49672\n28043 33225\n7774 76371\n52874 68228\n46743 81583\n3668 88605\n44962 77880\n35570 88840\n2509 39366\n73589 78450\n80504 87894\n5866 62796\n12069 14546\n11159 63027\n36321 37454\n26642 46559\n38025 94467\n4001 93027\n8388 22288\n67942 69596\n17243 79420\n2652 35648\n29851 87669\n55967 74235\n20790 39266\n53301 54478\n30801 64187\n48197 88554\n51824 52690\n2187 8398\n29344 54105\n1931 79219\n34856 90032\n22284 55742\n41236 46390\n26869 49834\n4767 71074\n14398 26984\n6974 95816\n39509 98593\n31395 55052\n4241 76526\n8725 95977\n11670 17831\n49391 93672\n5954 26341\n19910 46273\n22453 78672\n55245 99482\n14655 61271\n72930 73818\n54529 69109\n97229 99788\n55821 56236\n45323 49689\n6993 82073\n91452 98492\n12276 98558\n36183 38243\n21095 32211\n45287 88098\n68946 87772\n3809 85751\n14422 73952\n25371 40415\n1602 98438\n8698 94804\n14880 49047\n65982 89993\n54829 61470\n3851 98740\n38108 70234\n23713 43008\n24203 54968\n5179 17532\n88699 95060\n32869 84752\n10975 85603\n23926 94696\n49481 80234\n19758 36375\n23840 99148\n18669 63843\n22315 77981\n1706 57799\n4418 84156\n31083 60186\n3765 73412\n43861 81763\n57489 85417\n8871 42317\n12053 84064\n23793 25458\n707 22754\n37795 52678\n17499 74223\n1011 17157\n43588 90313\n32390 43272\n11134 72720\n27825 84732\n72106 76907\n32257 33735\n7152 47086\n28389 71997\n7084 84090\n7741 47660\n3177 94240\n52441 62154\n13675 88234\n10283 99225\n14903 19490\n19666 94134\n40904 58447\n28538 34535\n38625 90137\n71301 81780\n16174 68474\n4563 61923\n52280 69261\n24098 43111\n61492 98327\n11413 98132\n50216 72128\n55070 89317\n21690 47807\n24303 80206\n40859 78148\n52997 61134\n10319 34906\n49127 51869\n25341 68807\n83692 84812\n22297 33505\n10769 51358\n3871 94566\n87312 88693\n2161 80090\n28216 75526\n3984 39413\n8933 96634\n53601 75632\n1929 64360\n58594 65433\n57292 94700\n35733 92625\n16507 95946\n19447 28403\n23676 99612\n41241 95276\n39334 79288\n57814 85927\n19081 42078\n26550 45304\n65781 91050\n26324 63581\n38770 44479\n8792 55469\n32530 51830\n32829 87795\n56800 74031\n39106 45824\n3447 94972\n31506 53764\n57813 58931\n29581 49124\n13684 49687\n31280 98149\n6089 94950\n11934 96661\n29815 61558\n56191 97320\n10911 49153\n20409 29901\n92468 93661\n89044 96415\n26633 44857\n38999 51670\n28298 53910\n30077 48143\n34556 64986\n71999 86095\n72258 95329\n24671 74622\n20507 27606\n44071 49339\n21665 25294\n9953 60145\n40020 84535\n36416 40037\n38704 98570\n29032 57944\n43770 68227\n15648 88004\n24658 25587\n77868 91739\n44884 63716\n35672 71901\n42697 60767\n53157 91921\n5436 14113\n4522 82602\n21520 25427\n18962 64390\n88425 90185\n45757 97497\n58164 72065\n11147 19863\n7285 34432\n27746 36748\n45524 69619\n4249 8653\n2258 91500\n26008 36728\n61806 76097\n14532 21485\n49976 88198\n66322 66398\n5579 78278\n83036 87630\n20382 66093\n12098 88704\n9557 74323\n7605 45979\n11026 29027\n33107 64618\n15857 62047\n17381 80046\n1791 62050\n9240 42421\n40858 58189\n93651 99968\n32513 42133\n73847 77023\n2645 65115\n28430 85544\n24797 58585\n7964 35122\n92737 98586\n9275 54499\n19841 79088\n44817 45553\n26220 52658\n2810 14625\n5188 41758\n17408 56038\n83668 91454\n23800 29428\n12214 96599\n47005 78091\n26984 62120\n81914 85734\n29516 56160\n60875 97338\n25654 32724\n27942 87143\n64668 80174\n74308 92589\n35708 57258\n10821 62608\n9573 77597\n30166 96073\n82478 94229\n34283 92395\n45835 52413\n26347 32636\n74192 94876\n20920 84433\n3544 67733\n46075 59229\n16613 50216\n26384 64531\n14333 60679\n75262 79354\n31737 48659\n6907 31121\n47030 79893\n3429 84585\n55666 66862\n25292 57445\n44072 98145\n73239 94243\n39301 84714\n55401 90837\n29007 67667\n67796 71056\n11584 89116\n46473 61569\n17715 75400\n6435 28833\n38427 66312\n1732 50782\n66543 99743\n48704 75971\n33529 62182\n5662 23933\n7192 99058\n36866 89612\n14212 93863\n9609 52962\n44889 67988\n53266 93582\n40867 93169\n23773 85678\n5075 28602\n37023 54636\n21731 83326\n61075 79289\n92179 92369\n40986 83940\n65516 98344\n1520 48290\n36711 79714\n69209 84301\n71390 91067\n20990 83102\n13591 44499\n2929 30115\n23252 51174\n16206 77192\n43736 77721\n23091 72260\n30233 42737\n86648 89965\n55890 79450\n23664 63323\n72996 88272\n32130 53584\n11758 22594\n29167 46881\n58420 78429\n22549 97473\n20945 88746\n864 30175\n49772 59835\n18578 31316\n59746 72860\n78354 97938\n39408 62813\n1213 29245\n31613 80156\n40908 51609\n23438 42750\n11656 92944\n15646 18272\n40693 68705\n17402 40448\n7606 10210\n43762 75072\n18851 20471\n58172 66571\n8138 44069\n8158 38595\n65443 65539\n12353 69577\n62190 72300\n90153 98473\n28394 62016\n83216 83680\n26926 80451\n38072 48947\n40289 94451\n87304 92728\n45461 58723\n24902 96521\n53266 59848\n62754 72179\n23944 63493\n36153 38246\n8411 99732\n9095 79139\n48914 52197\n49491 71388\n64026 96533\n542 24314\n59218 90452\n2419 95162\n30958 77714\n8027 51856\n26799 90528\n12336 78938\n42742 91483\n52156 93008\n59449 99130\n34027 67261\n42126 81723\n54234 54901\n78653 90031\n13023 50512\n1671 58309\n22459 67918\n47572 80515\n37907 59049\n24500 29228\n27500 90931\n2615 61976\n8857 36360\n57441 91640\n28703 95580\n68893 97158\n51833 75069\n55710 59285\n56681 91740\n40813 88396\n18125 83616\n1283 17604\n23575 57302\n25488 45111\n31381 36255\n6594 47137\n23031 73179\n25301 28562\n40977 61273\n39216 47866\n7191 78278\n28803 54863\n15147 71596\n56399 74579\n6205 98523\n28100 32625\n87984 92853\n49675 65436\n33738 65194\n40964 72631\n8414 26338\n60090 75513\n9184 96848\n9163 85424\n1893 51204\n16006 19077\n5041 12823\n57405 68775\n5864 34377\n14614 51236\n24993 31809\n22006 31962\n43918 88285\n14157 96522\n64461 90671\n34307 43865\n27457 74065\n6275 55318\n5174 32242\n30961 43331\n73392 93714\n4306 41290\n37588 88288\n46366 60706\n34180 45177\n27902 67647\n12231 82655\n51432 94226\n8602 26659\n33045 80182\n14149 40556\n17468 56432\n41684 60123\n58877 67504\n40429 64653\n16674 67634\n273 76336\n18938 35041\n35677 38288\n3329 65740\n67648 85409\n27210 33731\n8102 66781\n13778 22692\n6318 29130\n4520 90192\n4384 96750\n302 13553\n1309 46571\n82098 84058\n56571 92683\n8910 32572\n81469 85247\n65105 93259\n80361 94132\n6156 52378\n19760 94829\n3355 20979\n2919 71397\n21159 62054\n23885 93615\n35019 84988\n2573 4436\n24351 30067\n2569 62229\n30087 78361\n21018 95325\n26062 42146\n31278 77354\n15215 28696\n25649 48900\n13193 63929\n28929 96624\n38596 90038\n715 23059\n14955 40470\n43721 64350\n10545 35701\n24370 74318\n70213 72532\n36198 72647\n12663 68673\n15801 93721\n15870 87317\n11412 17210\n40657 52304\n21592 60539\n49997 50509\n40850 95556\n6107 73750\n22269 84038\n90852 95871\n90346 93938\n33056 56416\n22763 67655\n32968 89630\n26539 31085\n7009 40577\n61502 65303\n6311 80610\n56747 60597\n22619 78730\n31557 71916\n43745 98380\n35919 40274\n70989 87226\n22879 49284\n11175 89000\n68606 92376\n30504 69259\n58989 75897\n61349 94371\n58917 86935\n14686 47321\n3325 17374\n48290 63122\n83230 92577\n67794 99789\n17432 47085\n56202 69548\n33848 63501\n91922 92893\n2442 14972\n53520 87809\n31593 98467\n5591 8951\n55019 78405\n48926 81288\n43181 74427\n4437 62558\n24474 76507\n12853 21029\n20972 62100\n99489 99958\n90224 90226\n15129 73646\n63802 64844\n46465 71604\n24940 26256\n22393 68692\n14529 41899\n35579 68574\n32509 86773\n28056 98882\n62023 87023\n46927 48214\n14997 56056\n4042 52247\n37066 50304\n19289 40142\n25834 60283\n4090 76355\n3646 8204\n30379 47003\n38902 99938\n23381 65460\n27982 90594\n50230 62401\n28093 79666\n70690 75863\n603 46545\n57184 67211\n10243 65390\n30090 32906\n14479 18059\n1707 65418\n17181 87306\n31756 46459\n10245 51453\n7128 67329\n36304 40445\n15288 52246\n81924 82678\n31972 62559\n6700 96684\n7583 86745\n76898 92971\n82598 92523\n17568 74114\n11051 14611\n30596 72980\n74557 77633\n85832 86622\n26571 38963\n18013 35455\n5952 84919\n67179 68084\n16902 24042\n39164 55618\n27405 45532\n3374 31602\n42969 64391\n7085 76758\n25738 57437\n46381 94015\n826 99837\n27631 96750\n2500 52223\n57308 80974\n53492 95113\n81032 88070\n10740 18809\n34254 38626\n57145 59956\n64894 80809\n16367 30799\n8104 70385\n34729 89748\n15915 42162\n75040 89453\n12826 84564\n12691 36626\n20563 74395\n8797 18634\n52362 86465\n43819 83417\n37718 51755\n22442 95297\n93098 99532\n18463 55850\n1873 76691\n10743 75027\n21838 85135\n4099 55711\n22151 73089\n57729 80358\n50183 95840\n4845 42683\n56802 90490\n18649 84600\n6865 79651\n14342 95662\n29807 67522\n62352 92443\n12400 82296\n49728 86020\n51892 68930\n6309 18844\n50491 87300\n43823 61031\n22618 59619\n24108 46541\n24782 30194\n51141 84682\n57546 73483\n67370 76975\n12005 73344\n3698 19249\n56943 73158\n41139 48327\n73393 89561\n26820 80392\n21260 82284\n6101 96494\n9375 73537\n18876 85082\n37174 58045\n22542 45662\n24390 47314\n69445 76163\n29895 40884\n59261 79063\n25071 42920\n2956 39474\n21180 47809\n55780 72325\n69050 97770\n29801 94501\n7421 24909\n3112 14854\n37923 44527\n41083 88598\n9188 46994\n55252 73815\n38486 79970\n10753 96946\n40778 70394\n84789 94558\n39906 59824\n61432 67762\n16000 38029\n63262 69287\n19931 28416\n52295 62311\n19074 24192\n23115 26081\n65297 76403\n4042 62336\n1009 58008\n36597 89041\n8875 10295\n59108 94050\n60390 73257\n44674 97269\n18869 41057\n97225 98410\n18385 36293\n756 47933\n50196 58219\n33581 95844\n20437 70551\n39873 69333\n60982 88562\n5976 95004\n10249 46644\n43705 64033\n9989 57431\n11576 90452\n17800 32757\n44604 53794\n63266 73050\n54138 56506\n1995 32348\n46615 57885\n68633 90324\n39729 73034\n26805 92614\n18271 80462\n20969 47488\n37973 49048\n16127 60122\n3792 10106\n50309 52521\n11475 72224\n57642 73016\n20271 21836\n49578 67611\n32286 86543\n64889 70509\n43295 61594\n23125 69836\n69713 82148\n28092 50926\n79098 86112\n79933 88720\n12312 39236\n23185 80999\n19616 73428\n59001 99606\n18111 74618\n48325 78956\n39346 55747\n14692 34945\n15273 53449\n64600 72758\n38800 88587\n75911 98798\n29555 83427\n18324 51985\n32438 67960\n30496 36866\n49662 62586\n7895 13675\n22523 57441\n48508 96814\n55134 63936\n24267 63899\n86493 93086\n30966 81267\n50246 64169\n61373 61403\n33896 36219\n76218 98987\n19149 91767\n38255 48068\n33267 39003\n23786 50285\n86637 90322\n36625 59581\n31180 81653\n43328 46201\n87990 96211\n84907 98003\n18494 35236\n32250 76145\n16351 95009\n26391 27691\n8944 12496\n44672 69770\n1351 22717\n48232 58113\n1183 76904\n60309 71858\n49861 76902\n17905 87228\n14138 92956\n82197 99677\n42873 61741\n50256 85257\n4592 98993\n68887 92754\n48035 77705\n567 17284\n55836 57716\n6328 79550\n18917 98521\n42196 97713\n4173 35841\n68901 91687\n29927 71624\n11724 18879\n23957 37723\n",
        "output": "350\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 96,
        "task_id": 541,
        "test_case_id": 29,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 100000\n18540 91050\n28511 75755\n45390 76788\n33100 52586\n49 30368\n50980 65212\n58470 71136\n33918 81419\n11885 58795\n1954 33329\n27884 38422\n25220 32602\n50306 58185\n48746 55540\n14254 84110\n43621 64254\n15287 36207\n35714 58579\n42193 85357\n10853 96362\n52929 95805\n34555 44579\n887 71846\n16161 57382\n25274 35281\n12801 24141\n45340 96431\n68805 69112\n5659 67096\n16301 59168\n51577 62968\n78325 94012\n68026 71946\n28567 62864\n8782 27843\n20518 31086\n14614 55721\n737 6095\n25002 65538\n74929 90133\n5114 47771\n4532 79270\n6847 67747\n49080 77972\n46126 67509\n62603 70482\n30032 52777\n32101 36981\n10624 86761\n20183 78625\n16422 44253\n31779 56018\n11259 79573\n22487 40860\n7966 93918\n46712 98306\n10278 80923\n806 86844\n35333 72165\n52676 85912\n22306 38718\n17443 83598\n73681 80098\n24647 54689\n53908 63938\n10675 12015\n22664 71646\n18993 58967\n35083 93247\n59770 71897\n21040 47447\n36605 99452\n63869 86759\n77609 94596\n7226 31823\n17814 33068\n16165 93253\n11921 14310\n8912 72426\n2761 34328\n21851 78895\n28401 35548\n73289 89150\n20335 86931\n6711 82038\n36345 90677\n55525 60813\n25797 72759\n26334 84233\n35331 90547\n46742 89654\n19543 79243\n11797 48727\n23122 81214\n10540 95432\n69671 76407\n48291 56496\n72763 90476\n3755 68201\n9709 65335\n79820 84064\n48640 84635\n32649 89149\n74234 85702\n43479 72766\n34669 88590\n36012 40062\n27729 30117\n21458 70806\n32708 51225\n7962 69415\n75765 97946\n16040 44171\n12850 31281\n26908 85138\n27672 50653\n23442 25771\n71306 82402\n10625 62432\n3653 87374\n2389 31917\n31822 88328\n24166 66389\n37569 72397\n65115 81101\n12552 77714\n42258 65147\n24841 27697\n12616 29364\n29318 43505\n27289 63313\n63124 78968\n7330 59120\n48494 63895\n16267 71007\n32398 80644\n70786 90712\n51479 55485\n60733 66293\n9873 43986\n67062 89203\n23895 37188\n12903 20394\n24742 69677\n56216 63078\n51978 62639\n27916 60077\n10240 63162\n5474 15091\n50125 54506\n27387 84080\n56722 89416\n78669 80686\n27003 68011\n34626 57467\n30297 49762\n42812 91172\n29251 42416\n21261 67300\n56936 61516\n8062 61953\n16305 96333\n2745 19762\n23674 80814\n33477 34228\n8791 80406\n5158 9919\n36245 98628\n60090 87125\n34317 64742\n10739 85375\n5872 22608\n25926 67952\n20332 26100\n49708 87404\n36139 64212\n861 79914\n69685 79227\n14857 46548\n20378 42249\n25609 69008\n56794 72828\n542 38404\n54731 90216\n22394 32819\n46525 54971\n8739 42139\n42594 66285\n60436 90202\n41484 43692\n57243 97315\n73822 77164\n7857 20278\n24902 75240\n9154 84479\n29454 51579\n8137 36536\n17179 62466\n13404 69159\n45190 97209\n17382 21580\n18378 36058\n26312 60227\n31511 47941\n13294 76027\n52269 78021\n38709 96509\n6315 18185\n30055 69008\n23160 35024\n24116 97295\n22682 86278\n43603 72855\n21553 95637\n35533 93177\n14391 77185\n52519 73502\n45204 91785\n68389 71726\n14896 82855\n79034 92992\n3330 35992\n26767 78940\n45358 71770\n52473 85779\n50495 60675\n50348 92562\n56903 96874\n27236 48231\n15012 74769\n16733 59075\n48388 51133\n29514 92399\n38481 43660\n1406 89337\n77453 99929\n34083 58774\n69354 88426\n26598 75756\n5998 56455\n50808 59726\n33658 78069\n69229 95776\n39923 50933\n51487 96134\n49899 59602\n6883 49067\n56759 85138\n23516 78609\n2371 51007\n21943 65216\n2329 87670\n30806 46836\n54926 83466\n1465 60122\n37165 39064\n52760 81807\n17783 24053\n4334 91825\n37934 44952\n10014 24168\n57947 73393\n37384 66912\n43233 86849\n28444 90393\n44498 48457\n27581 42991\n49206 66102\n53876 58340\n20916 73337\n67000 78315\n94035 94112\n10663 21565\n27902 90682\n39342 82703\n12829 22206\n90295 96374\n16886 37217\n2047 89136\n3424 49077\n4645 75491\n11999 53689\n16854 32512\n16100 83202\n67811 84344\n14989 67100\n9056 69582\n48862 61187\n22680 80019\n37546 83514\n40701 98504\n17493 41315\n24811 58158\n68130 88191\n75876 90256\n35731 40057\n61064 90413\n26010 79016\n29011 47402\n5411 98635\n29432 59537\n34348 55684\n39387 88313\n14943 44868\n62952 85160\n21031 69078\n3583 24899\n17150 32106\n6983 90027\n60182 96923\n4643 21836\n17363 48725\n5048 60295\n20545 66372\n14781 81052\n31230 78002\n16527 27698\n1586 14735\n11075 23962\n53699 69520\n19900 23709\n14436 60209\n38503 60829\n27537 37303\n2789 39660\n57648 61642\n29007 54893\n29058 67207\n49606 70370\n90021 96248\n46894 70968\n74307 81684\n1906 27125\n22860 75379\n34862 89895\n46059 59065\n36625 86134\n10940 42581\n9796 22445\n62851 79914\n53764 95100\n24114 31973\n49266 83352\n52362 61653\n59810 72335\n6159 65882\n15741 21723\n12431 60910\n6165 23673\n30007 46917\n26075 85179\n65258 84382\n44862 90627\n292 6865\n942 15782\n18205 51843\n21805 95587\n28590 56981\n62104 97733\n7174 18731\n51167 63143\n31928 52620\n3118 78193\n35251 75198\n6402 49563\n9728 31996\n37088 88902\n35289 97957\n66180 77670\n5703 69828\n5034 23210\n77914 99079\n37610 65076\n23809 48048\n84154 89935\n65887 82315\n13634 57257\n3002 18197\n3737 52261\n59951 87330\n78044 88266\n24824 62033\n17030 56459\n48387 60229\n46934 79996\n22398 57333\n27175 84752\n28294 97308\n28405 92490\n62017 86620\n22242 85020\n42136 52618\n67801 95784\n12926 91988\n46362 68203\n4954 19692\n9905 99917\n38659 72173\n22094 71883\n39081 97126\n26922 68165\n9122 25722\n44924 49293\n24836 55244\n43926 47431\n82705 94466\n58718 89764\n44165 72737\n36713 61469\n31501 54964\n17823 22799\n12455 46675\n5923 79845\n33512 57255\n30219 33193\n44495 67653\n19285 82189\n58944 63232\n31839 40032\n3539 32346\n23485 50474\n75665 81898\n27685 63061\n16896 21208\n9842 72065\n40566 97459\n1923 14645\n17588 57156\n4729 79613\n1513 78650\n45990 68986\n23109 68542\n42618 80281\n30521 31026\n48932 92602\n12690 35583\n30429 51157\n19105 79723\n4109 81267\n45008 78896\n15731 30481\n45603 54344\n66541 89925\n14295 30315\n33371 71706\n75485 96512\n27747 87959\n24152 25491\n18278 97380\n70391 96706\n15822 90087\n62763 70598\n52702 61222\n71696 83873\n66864 96404\n82875 88548\n61291 93751\n43929 74573\n14368 89937\n575 50988\n6821 33633\n52602 71054\n2738 56083\n64636 87145\n54506 66212\n8560 83439\n68943 82129\n1432 52100\n26329 46220\n74235 83808\n34369 99666\n82640 94585\n12380 27308\n37363 67697\n37477 90054\n19445 24791\n42477 69048\n62429 72623\n75538 84666\n51958 74791\n51392 86749\n64081 81317\n35075 59421\n23298 37697\n9143 20814\n71080 82949\n75644 79142\n31751 44575\n18744 48374\n60752 84504\n49104 53645\n190 49275\n24677 54255\n5410 98743\n39639 98983\n43443 63852\n27507 34752\n62271 92440\n71317 95651\n63416 94884\n35862 86705\n26067 61802\n72650 91848\n7227 22107\n6466 97243\n31255 32347\n27628 57420\n66835 95356\n88702 98523\n10634 31316\n6148 75735\n8247 64631\n63286 92027\n46465 69408\n40590 48968\n30697 88764\n27452 44200\n32582 37708\n28280 57069\n18320 39191\n52504 96843\n65757 91051\n37009 57372\n36320 44492\n65355 82713\n41474 47723\n11119 45630\n82257 97795\n18065 44410\n90602 95012\n36356 55845\n35678 39179\n41155 63919\n26947 40978\n27124 62562\n32093 38121\n20514 66506\n22465 74275\n15377 96379\n48126 79810\n34004 93218\n65916 74084\n22515 59581\n61185 78373\n17674 28364\n12545 29848\n34237 95118\n29578 85107\n11641 80736\n54822 66765\n35194 47941\n32542 49492\n9113 89300\n46498 59535\n14396 95569\n18737 56672\n36887 54788\n37336 97858\n274 93451\n24425 84218\n10188 82769\n87860 90495\n6474 12041\n33713 37002\n33473 92304\n36503 45571\n11383 53321\n45907 77691\n63460 85643\n11746 27629\n26571 80459\n21914 76462\n1029 83320\n71711 77748\n51734 90278\n41564 89274\n2613 69684\n51948 95648\n53628 86391\n23997 35241\n77788 97582\n13107 86035\n24897 83015\n27284 81591\n52193 74097\n63429 88699\n29816 60171\n5706 99980\n1605 95574\n61076 87265\n12369 23667\n35053 72044\n37537 90730\n13997 92483\n14318 24085\n56736 86318\n37506 85833\n44038 87971\n53765 73877\n23516 91269\n21593 98151\n51356 59643\n19195 92481\n75362 77224\n37803 76005\n88479 93171\n33360 37733\n21741 39503\n50085 94952\n67670 96043\n34898 46889\n80065 96078\n25036 47306\n15559 28002\n42840 98039\n36881 57971\n8426 39067\n45950 61058\n60360 83892\n82104 94531\n52960 76441\n47597 48299\n60841 88513\n20985 82107\n43157 87413\n7223 8094\n2571 96743\n37106 76812\n73739 96332\n19385 20651\n93668 94092\n57302 93885\n15965 93584\n15424 54142\n22348 37170\n40419 45161\n53274 66784\n56497 60892\n4197 86971\n51400 61762\n37805 66218\n19612 40650\n1114 5758\n32965 78770\n2240 93576\n21066 43178\n55290 82600\n9820 31248\n16477 71613\n11416 96407\n1327 13013\n7253 65786\n28846 77141\n30136 31358\n23330 44121\n48063 85073\n4564 20221\n44013 61713\n17440 32711\n26080 76585\n4210 9527\n64710 77721\n39102 40656\n13358 64759\n40893 82534\n42146 53238\n24295 32427\n80603 85165\n1953 20882\n12674 37436\n22131 33015\n7507 56668\n29206 48545\n72054 75996\n33820 44244\n44382 64895\n9953 60146\n64857 75869\n22124 49763\n76864 98578\n1529 41673\n16419 36971\n43585 59714\n15988 66166\n23003 29167\n63438 94599\n10331 45038\n41932 54442\n27053 34552\n19904 93155\n11334 43327\n74080 96471\n61452 89096\n74892 86602\n57002 80240\n6298 26414\n34663 76390\n25404 74053\n5659 65461\n91450 93018\n44842 50037\n24435 90405\n41808 99456\n68403 97964\n1276 78177\n75392 81316\n49094 84743\n23910 90226\n77818 87358\n27204 96055\n30539 41459\n7677 37899\n17377 30831\n75194 88033\n35325 79929\n5865 12590\n3036 77626\n28452 64924\n62233 70868\n36535 37063\n42981 95958\n20721 46411\n11372 44266\n27748 56260\n18663 20611\n49066 68308\n24874 81004\n35303 95508\n76446 98170\n8322 71955\n29062 41141\n8118 65083\n44514 67566\n22645 80664\n33335 54904\n53921 90323\n64693 67531\n41039 41150\n56250 86888\n3570 52447\n51085 62406\n26238 82385\n46013 95270\n52655 96690\n68115 91799\n36250 94925\n39784 50748\n30284 87327\n35869 51834\n1127 6770\n45888 62516\n54504 90567\n32375 70938\n11901 68857\n65132 79515\n24145 44911\n7451 96909\n17471 78527\n40663 45145\n41111 98374\n10781 87231\n22115 70204\n5082 44447\n1112 29667\n8252 91506\n2008 52547\n10178 83891\n70673 74235\n9734 58936\n25496 80156\n11368 28599\n24389 91732\n86774 87556\n28248 44229\n29957 99435\n27829 88547\n19779 85718\n2316 20468\n22195 91245\n56602 99123\n52191 88543\n319 35812\n33041 83615\n2591 35939\n43904 44644\n1641 61106\n16255 60607\n53298 56821\n70872 98669\n64379 79649\n47529 81006\n35574 51319\n16190 62741\n12436 79235\n6744 41123\n43289 65549\n12417 59989\n45187 90949\n25069 59371\n57004 80513\n72927 87805\n26561 80070\n48970 78677\n50431 52675\n35961 95408\n3860 20391\n20088 96890\n10832 91140\n95470 96765\n42507 99253\n48512 65573\n8198 14571\n75380 90384\n38682 80951\n30219 75865\n56378 66461\n15698 77361\n14692 68102\n41050 68958\n40991 95067\n32866 93055\n75017 82927\n170 95057\n22607 30674\n7033 35921\n65639 77680\n17280 41305\n34719 95526\n16674 58046\n242 53106\n36896 59473\n53987 95010\n6890 97945\n9161 73887\n61225 90330\n48485 68685\n8365 29534\n69708 81094\n56582 94798\n2494 79643\n8191 57717\n32469 87192\n29344 79383\n8329 61331\n20942 36911\n21320 95913\n57694 64645\n55075 55980\n19027 32679\n15105 78999\n22959 85548\n19686 64300\n26203 89855\n38873 95423\n23250 82069\n47483 49619\n10160 63143\n28387 99018\n2222 51788\n48162 97240\n16399 75620\n4822 55807\n29932 41964\n4253 85312\n80675 88842\n45094 80811\n777 56479\n73115 88438\n18429 37459\n62017 77019\n2487 8712\n28216 62699\n38946 87818\n26838 75548\n3288 77414\n63544 65804\n4116 70353\n7644 25771\n31485 85415\n63011 98117\n17362 45159\n81270 84327\n35196 96145\n87967 91855\n50239 97000\n23793 94881\n11606 37259\n91522 93590\n60568 95411\n44653 64541\n53674 91488\n52446 67363\n90785 94597\n35813 94054\n12842 56169\n28652 71125\n7921 45342\n55873 81958\n42482 93969\n20657 73801\n90913 99171\n65286 82264\n10589 54386\n22322 96961\n11760 42945\n49826 83662\n8752 84625\n25131 38778\n77032 83422\n26592 37115\n6682 7658\n17700 36234\n75379 99916\n19699 24606\n76609 98047\n33009 48919\n52462 99916\n25175 27942\n47648 49208\n66020 94975\n5649 17878\n6546 61221\n37693 41466\n43763 87924\n85925 94024\n49806 52773\n46071 75819\n37656 71397\n75390 88714\n69214 98573\n44160 96999\n53718 55145\n14101 72464\n24010 74739\n36168 68833\n44938 99830\n31325 75739\n14533 93602\n23213 46014\n49847 87566\n39469 47205\n16847 76011\n68633 73577\n37667 88869\n92269 92554\n38761 89015\n15502 56026\n32585 35170\n3890 16608\n71407 91597\n67758 73927\n40761 87182\n51281 62437\n14189 19723\n5146 16170\n26504 44164\n46827 65745\n79669 91103\n50203 66479\n48717 82053\n63571 64181\n13379 23521\n25349 64346\n4307 63227\n20651 40731\n72471 98097\n55914 84363\n24621 67820\n11589 15701\n70620 85947\n3446 72225\n80674 84185\n6249 86404\n60248 81999\n69957 87467\n57980 95499\n2936 45277\n2578 15907\n70099 90551\n22204 62450\n15939 32294\n17707 77806\n40003 42891\n6363 28333\n39777 43505\n28487 79226\n8602 88711\n6939 9171\n5879 9258\n16679 61153\n24561 87430\n18521 21698\n63615 93647\n33764 79850\n11792 98982\n71955 75369\n19211 80002\n51421 55457\n10424 50369\n16559 16988\n13170 40945\n31298 55828\n16119 96219\n27573 38379\n40302 74404\n56496 56771\n15722 63659\n37649 66507\n12551 49194\n65844 85333\n62265 91450\n8884 78498\n21821 91445\n28276 78766\n14025 80343\n51335 52783\n43793 62854\n32085 46486\n69417 90384\n39930 65240\n83579 97786\n43469 54047\n39267 57306\n90691 99725\n16867 64807\n37588 54869\n5696 91072\n85 16805\n25269 63877\n27133 89786\n1561 71102\n75710 94167\n49428 51430\n34833 63031\n1735 28933\n2979 63291\n23241 53476\n3483 41085\n75584 79363\n30974 33047\n47070 68850\n2874 13639\n17655 59162\n67355 67813\n110 56852\n15871 75334\n64189 91216\n38465 94918\n12735 20755\n14112 50631\n86716 95607\n70514 91417\n41413 47608\n41081 77151\n65138 67091\n12540 21477\n11360 72037\n6203 69052\n51060 70306\n8484 66506\n58733 63459\n14787 98590\n26954 70242\n41171 87155\n49614 74550\n30494 75438\n68087 81767\n75430 86220\n9104 64491\n61444 75181\n34058 42694\n36359 58485\n53927 83747\n74077 78713\n10263 67708\n18342 65082\n53739 82699\n51198 96855\n27755 72158\n52272 99347\n72418 86753\n14408 24317\n1612 62485\n24041 66334\n30554 32542\n42989 98729\n25930 69857\n3352 42715\n20040 97738\n12020 18741\n9460 91693\n35386 95045\n9458 94807\n29051 58537\n3455 77320\n9594 85828\n25139 90668\n30629 77132\n73517 75302\n74803 86655\n3485 65233\n22066 90478\n26136 61638\n18328 24265\n14757 19374\n19263 36959\n41523 47902\n53310 93571\n44947 94388\n53844 54122\n19132 75734\n57287 95230\n57856 72626\n39990 78478\n30324 52054\n44295 58765\n23241 40464\n7739 12642\n57093 94747\n59729 79963\n83629 90649\n15407 66784\n29116 31869\n2463 40798\n50234 50748\n58174 97950\n12578 76603\n21753 72066\n19633 77933\n34558 37520\n34437 67178\n64975 86266\n38696 85405\n80055 86315\n1086 3411\n65542 87825\n16258 28727\n34106 79662\n20630 97982\n89780 96462\n25840 42380\n80506 95296\n51756 68314\n30382 37837\n438 12955\n43451 93275\n74846 92264\n64595 66265\n5913 29488\n77891 97227\n84625 94246\n51691 68894\n31280 73800\n27221 38643\n35726 49760\n69917 86404\n55337 97689\n67271 86947\n7212 47172\n8056 45145\n62257 88100\n23580 23957\n2936 71870\n3172 48737\n66284 83749\n24740 97073\n62029 86360\n32714 41481\n57083 65652\n5450 44696\n53631 86993\n61140 98267\n75778 90441\n36189 55239\n22139 72183\n85413 85668\n2022 99818\n16227 50335\n16989 39002\n72347 85656\n12183 94198\n61533 63064\n32286 35851\n248 96914\n20097 35864\n78373 81376\n30174 92359\n19402 28012\n15477 89766\n38691 60070\n62544 64299\n11868 25873\n29599 64723\n9698 16361\n29521 30221\n23221 69077\n4468 20935\n45100 70738\n57411 92530\n12069 53784\n1375 86586\n3349 73291\n9455 71106\n68747 95636\n20734 43664\n34977 67368\n61804 92747\n5103 17433\n20342 60909\n14816 62006\n37556 97543\n27860 65151\n33857 53455\n52817 66727\n7181 75485\n22027 43948\n82974 95416\n43221 74702\n190 71968\n27720 85779\n39282 83332\n12559 97376\n17715 97728\n42333 46586\n30942 71182\n19975 35801\n2573 23279\n69675 99690\n62945 67248\n33686 94552\n66648 75310\n44583 48971\n37433 99594\n14190 47888\n44252 85667\n38668 70662\n42346 92188\n11207 30473\n43066 59170\n66068 84328\n13425 71713\n9215 63292\n9215 14694\n24651 99977\n26747 87004\n77949 89861\n23343 41387\n13982 37862\n30548 33275\n14800 83837\n73296 92046\n53261 98110\n73899 82405\n58088 98219\n1345 39623\n23039 32530\n45262 92120\n16806 29895\n20917 83216\n8655 53018\n41541 42665\n88021 89280\n8013 98314\n402 54269\n83010 88708\n14024 30785\n40721 71867\n6290 35604\n50114 89235\n51268 79105\n62017 87322\n22767 90687\n36659 50385\n17981 45934\n65278 77239\n684 5534\n19917 20252\n18061 97687\n9697 68361\n61602 68583\n5650 39185\n9954 57336\n17861 30393\n19096 46122\n9310 71395\n17767 18324\n31313 72587\n15332 39132\n28372 52977\n21213 67864\n25500 97708\n21564 91415\n26718 50239\n33392 88979\n42736 58086\n3628 15494\n29641 56945\n53824 83857\n42694 89913\n24039 27488\n12480 71440\n3346 65522\n11109 68712\n70034 94549\n9764 15028\n9360 35603\n9531 34331\n11939 12311\n2366 62465\n61463 74970\n58534 77841\n77408 88904\n20128 88727\n26632 27202\n67774 81513\n41679 59326\n29996 77166\n11776 78921\n4715 27893\n11981 36244\n16684 27471\n45375 85943\n902 8169\n31704 37884\n25635 39811\n29456 95778\n66384 72507\n38364 53957\n67087 78948\n35797 80416\n6510 9076\n24216 69607\n48400 58575\n61050 71562\n16211 76225\n55211 65702\n75388 78291\n43297 89863\n8479 92794\n86224 95378\n8747 14264\n55264 55557\n203 249\n61160 96502\n41600 81582\n53103 88038\n41784 99870\n88454 91249\n2902 23259\n4703 38690\n58417 84615\n24859 39238\n45511 96239\n5511 56856\n14915 70481\n35702 66414\n21278 84628\n33260 40017\n28019 29583\n42124 96871\n32881 82009\n32809 77460\n4856 21336\n55162 58982\n2365 69424\n49340 61010\n59821 77049\n36323 76619\n26749 43056\n58715 72127\n14912 56418\n10001 27153\n24660 37719\n13124 42303\n12731 93930\n83545 85150\n50660 83217\n61460 97379\n12462 22006\n29229 67790\n22309 70550\n85179 99820\n26310 35293\n44546 52582\n70885 99310\n56015 96664\n25102 75920\n70200 82965\n50309 70811\n15623 78586\n62652 99061\n64860 83494\n23062 50638\n22929 70449\n16243 30556\n7620 33496\n29397 94208\n37541 54724\n85329 91312\n583 59808\n6569 81104\n26389 73837\n29093 99472\n17672 45522\n1786 49665\n36735 94067\n24174 51001\n15120 53422\n14950 63735\n18832 76079\n15174 55961\n50645 69465\n17719 20957\n32860 76867\n27294 75439\n49131 80099\n16489 38188\n11096 32950\n13952 73756\n50204 63057\n7832 58007\n1182 93048\n20263 98624\n7521 30136\n12939 48088\n45262 96982\n23211 85570\n5606 43764\n22389 85254\n40244 47228\n3065 35707\n26583 29248\n30636 64964\n34589 92246\n21314 46906\n36747 74739\n62715 93087\n6457 54329\n68317 79798\n47418 74738\n10928 30632\n26714 40274\n6622 62953\n25808 38069\n16861 68503\n39022 85295\n56945 64845\n22574 37273\n39156 86826\n1836 63487\n62274 77895\n15300 79929\n1612 90065\n51729 64401\n36084 72349\n22701 93647\n49467 67309\n61047 98853\n67008 71051\n10120 10627\n62001 72701\n35525 40251\n14724 23089\n24639 57618\n30046 75347\n33073 72557\n6583 68914\n21846 33074\n21111 24452\n77311 81721\n45250 92621\n21454 56955\n49023 65312\n18870 72143\n9875 65548\n64761 85731\n5686 65553\n57255 72800\n72292 86882\n1262 22631\n22338 25088\n68821 87238\n71187 76766\n24123 47901\n3605 54743\n46413 96044\n27457 94354\n22772 83160\n83740 89593\n6315 63124\n23119 94627\n42144 98551\n26382 54590\n30220 40047\n51952 57594\n17736 68462\n45675 54240\n2794 65216\n30770 51775\n47077 77237\n12935 27237\n25347 36046\n57580 66407\n27413 64016\n22419 86069\n51264 94976\n16796 67131\n55611 69252\n373 55408\n68665 81461\n62671 91966\n42537 52602\n11210 70938\n6714 83058\n30847 80459\n48562 52601\n12471 95605\n2034 60710\n40921 59641\n10865 91831\n28093 98341\n8454 74206\n23152 50560\n4540 77504\n57230 86236\n37083 78415\n50901 84267\n37711 71917\n40070 68788\n10317 12638\n95079 97964\n63277 90500\n76439 85820\n65488 68218\n19134 40040\n31508 46730\n31208 98512\n11632 80815\n27213 88001\n41085 58708\n23058 43075\n19372 22819\n54977 90825\n40049 75876\n7514 31608\n4765 94693\n30775 57667\n13708 76632\n47502 80294\n72780 89795\n54955 57093\n63071 68785\n47756 91369\n15044 72892\n31229 45988\n66831 78334\n25516 51176\n43630 58924\n31977 49524\n23315 84395\n25710 29885\n34559 76055\n66564 80116\n63350 68977\n56091 95549\n34372 73239\n82985 96527\n38627 45303\n9495 11596\n51587 61222\n41480 91029\n74440 90388\n31618 97340\n6057 26053\n6945 43593\n11657 68448\n30311 35328\n49969 90079\n9761 10471\n56753 71623\n61435 88652\n52979 55616\n7791 58330\n26856 81898\n1158 26338\n32365 99519\n17171 24274\n12912 48738\n38211 38225\n23416 71039\n7081 77996\n30964 78685\n16201 88912\n21050 39557\n35223 55876\n38780 99924\n5118 94971\n19969 55635\n23093 37079\n31396 41324\n54227 55855\n47586 56118\n31278 79665\n36612 73541\n48780 96636\n52709 74512\n46247 86147\n65987 67353\n55235 95331\n37285 86775\n67168 73852\n28472 86798\n19956 67357\n45475 59587\n41141 47478\n47348 86501\n54042 71165\n71219 93066\n2012 66476\n14355 77310\n4075 48325\n15950 95511\n3007 95455\n15894 98588\n89913 92698\n11489 21861\n64309 74188\n74942 98764\n26985 80995\n23126 96728\n8313 14699\n89355 96123\n12052 61370\n63255 97705\n34094 58847\n44948 67757\n48554 77466\n24448 24731\n57665 94280\n30313 92772\n47953 98090\n4071 13254\n30843 44929\n61124 82996\n13609 58102\n50650 71920\n10971 54119\n51247 64119\n15516 98680\n15745 47046\n44058 65925\n43319 59895\n69243 91978\n85200 99533\n11250 77745\n24753 66146\n15690 33667\n39687 80903\n28297 87565\n25062 91180\n20558 42400\n35220 64164\n20822 24568\n480 57293\n901 93776\n73227 95692\n28830 55792\n32321 33542\n53020 96124\n13229 64620\n34972 48804\n77549 90893\n36895 62296\n26295 28940\n31514 72916\n40116 58026\n39971 61521\n16951 68490\n7446 52522\n53874 71098\n14316 57370\n16368 63041\n15838 76546\n77914 95830\n13620 63801\n23496 29490\n52156 78327\n50338 59611\n26898 43052\n16895 99728\n15555 34391\n59103 75947\n71362 95366\n50763 80084\n11236 96491\n43234 91907\n14550 32127\n70065 99304\n8336 81965\n40939 87288\n29188 29909\n2340 49103\n10769 93856\n38783 58794\n65019 78244\n14482 41726\n10322 54463\n55420 62660\n48449 69099\n69751 98266\n82011 94744\n5103 14252\n32960 35654\n40052 86851\n19660 25762\n35367 89333\n3942 63663\n29954 36552\n12253 64482\n65145 98560\n144 27239\n49136 83398\n15407 24677\n4468 76822\n83461 98487\n60932 97753\n65615 91660\n8537 15022\n13068 39850\n29320 48405\n47048 78983\n15102 74885\n79650 94771\n10822 28884\n36917 79990\n15475 62282\n10619 28678\n31994 87319\n7224 50979\n17256 72428\n8672 75566\n14609 19725\n34669 35747\n28655 50187\n51244 67935\n29608 56622\n27971 82943\n43471 97070\n25670 54207\n4234 47561\n4650 6533\n15037 92522\n35423 68135\n29283 30788\n78543 84743\n58465 94497\n19376 81072\n1418 82229\n63534 93849\n43318 71861\n30755 82001\n35204 75183\n32056 89219\n60752 74764\n61504 68501\n8405 84022\n46721 77916\n82393 99200\n20497 63729\n1876 61739\n53931 69210\n63179 99337\n6613 47859\n36142 93609\n8078 31528\n68008 99372\n44992 58608\n61413 67853\n23751 38731\n72805 96372\n65145 71684\n8717 10266\n22613 68598\n83378 91468\n35671 63611\n53389 89932\n50297 76798\n63577 75624\n49411 58858\n54210 83486\n30582 68852\n19003 98676\n5856 76033\n28640 88519\n35814 56694\n23288 50002\n76472 86378\n88359 98602\n13226 81764\n79478 79691\n28283 74580\n69126 99075\n77207 89737\n65834 76168\n64626 97033\n29509 61356\n24611 27398\n83573 92419\n44542 87519\n29577 72786\n52026 87106\n94275 96627\n90339 94376\n9346 36039\n4663 53514\n23533 53966\n26748 95992\n3666 3724\n11097 45226\n63018 82874\n55084 59499\n22542 82272\n8395 34879\n3194 61573\n76509 98148\n29286 63575\n56773 58478\n55467 79262\n24112 43932\n34974 85779\n3223 98907\n5551 14425\n30569 34894\n38755 39618\n37207 97322\n83442 99194\n17346 19768\n57917 78068\n26284 92870\n4782 67708\n18967 38860\n24723 86170\n16548 30964\n58516 98815\n36184 38845\n46169 48977\n53057 62297\n64016 76413\n20346 60685\n18140 40127\n43127 97033\n45956 85932\n49086 97439\n44893 50630\n4407 15760\n21759 66379\n11681 86622\n48599 63062\n71074 76979\n42230 80204\n11614 15908\n6357 79402\n6837 45623\n42908 80538\n4378 63006\n60653 96086\n18662 38219\n19703 96587\n557 61610\n3545 49222\n918 45211\n22130 72526\n31173 41673\n42709 91177\n26361 74854\n26603 77493\n23305 52260\n30366 53839\n2653 57288\n32488 67650\n85160 91544\n58124 62473\n63514 86778\n51721 93192\n83054 85606\n60771 61069\n26127 51766\n19835 90622\n77329 94732\n20693 76194\n23142 68503\n17517 19339\n82321 84873\n28687 65801\n82205 91702\n2043 34872\n22388 50054\n24809 42740\n31301 60498\n35060 42771\n23443 30449\n2154 77671\n3012 83310\n10832 15514\n15894 32996\n11032 31491\n43249 80177\n43784 70194\n16919 32410\n80121 96773\n22005 99211\n21571 80689\n7628 89510\n24401 50806\n5312 45642\n8488 90000\n10705 86830\n68937 86376\n923 87041\n40254 77446\n34186 81838\n10631 32117\n4658 31040\n35034 86761\n30031 41919\n8660 93486\n80176 81299\n37111 64284\n28670 56728\n26855 82931\n2216 80570\n12740 90875\n1536 58352\n72116 99080\n32752 39947\n5325 26172\n56800 93099\n79993 93324\n44222 69284\n48059 49564\n42592 53014\n51921 68776\n22921 36487\n6037 85045\n20860 80396\n80060 84027\n62668 79736\n67129 72076\n54087 84724\n61971 81489\n62171 82042\n47036 64547\n25252 49591\n10715 24578\n23715 67648\n28452 92508\n44168 61850\n79145 92008\n4001 24749\n10198 68519\n61970 67896\n39643 44431\n69351 86617\n3294 91472\n52834 83084\n28718 85418\n9390 58902\n53928 86043\n3734 41605\n12451 22324\n24171 86870\n35099 76651\n246 30878\n13967 44635\n35839 36581\n58542 96838\n23253 73954\n39735 56936\n49966 75940\n78052 88220\n9199 95193\n18832 43333\n61961 97609\n10925 50620\n58113 62799\n25124 99169\n26731 92904\n50106 60353\n29279 67311\n35080 68835\n3075 92074\n35718 61758\n73225 86224\n23316 28850\n23475 96962\n42019 87885\n33197 99783\n28993 77201\n21811 54315\n11699 12215\n51059 80887\n12704 42886\n30417 31878\n42979 47940\n6140 75635\n28510 86342\n22305 45163\n5019 50882\n37508 71229\n31323 78206\n39769 87835\n18362 84344\n6626 58113\n40144 56366\n81326 92357\n18307 46373\n43500 54923\n32841 45006\n29951 57539\n33069 45948\n43354 57972\n68878 84657\n11809 27286\n54238 94121\n23972 35217\n16216 69004\n19431 23325\n3794 16442\n44722 70005\n12654 41259\n936 49765\n40104 63068\n11922 35921\n47437 63140\n60177 86572\n12907 15288\n63438 90140\n2947 31307\n12118 48163\n34486 53701\n5963 83854\n30742 45468\n11996 73691\n11576 51695\n3809 91914\n2092 58680\n48591 78620\n26451 59802\n86636 87800\n40863 61375\n55435 68053\n27360 59069\n41494 67025\n65228 99573\n79914 81787\n16399 17447\n44430 57606\n41775 45536\n81529 88624\n11947 98600\n19994 39736\n82722 85572\n13932 91682\n71655 94676\n65193 66908\n18059 89987\n14283 41394\n64655 93731\n5485 62263\n46149 72738\n51715 63355\n38569 80562\n232 30504\n88739 89732\n4205 49395\n19837 79231\n12216 70610\n73585 86991\n50256 50739\n23990 97960\n53854 93250\n7163 25419\n11674 42935\n40178 48169\n61490 68119\n33589 88591\n34784 98116\n74823 79751\n91556 95689\n28596 49191\n25399 86960\n24612 35028\n52891 85438\n12949 52035\n29021 88671\n83744 97103\n33487 85202\n4632 55567\n69102 96126\n32852 55485\n44440 99517\n21722 27516\n7994 33809\n32981 75683\n44516 99841\n2953 68152\n48042 89035\n8891 97532\n9920 57715\n284 92756\n25741 67174\n3472 38891\n31954 46417\n10397 65278\n46829 51852\n90041 97204\n73321 79510\n66791 90476\n531 44560\n23437 56646\n65319 98451\n2364 46695\n60363 84320\n25761 75656\n10512 40330\n32917 33005\n24108 58483\n34165 44539\n37248 92836\n41521 70081\n4610 60831\n28756 87926\n28801 31949\n10518 41698\n58313 99617\n29859 84092\n62987 64061\n41366 61669\n32585 52850\n7494 38942\n18326 61749\n3610 92566\n28506 61723\n14645 80685\n40378 73385\n58463 78265\n991 7313\n57367 59797\n45411 68753\n21936 91246\n59526 91742\n29838 82192\n18804 83319\n42149 94109\n69559 96043\n7594 39208\n8815 90836\n45962 86559\n55616 73919\n2819 61386\n12057 28460\n65722 88440\n11610 27005\n21078 94145\n8385 48584\n26392 30366\n47619 64934\n25964 34204\n37736 87229\n42932 52567\n11081 78566\n10075 46268\n8329 46536\n34977 46840\n6948 36358\n2208 98309\n51882 56320\n69457 77123\n22497 80539\n8408 70818\n13149 20667\n7569 63840\n19852 49418\n41817 58838\n22730 62785\n26033 47469\n34883 91513\n37812 91410\n33947 58517\n26376 56060\n56321 80131\n3294 15508\n76505 93002\n31279 39631\n13270 21204\n17686 56503\n23931 49405\n47593 90625\n18399 97376\n47316 99819\n85319 86082\n24244 33493\n13905 75070\n7129 98515\n52887 98439\n14636 86597\n1369 66835\n2231 28206\n26896 71156\n41475 68467\n19064 32786\n91895 93120\n62652 70601\n11843 14478\n22686 46147\n33146 62649\n48848 55247\n58356 93486\n4692 53048\n31320 99258\n19908 51601\n36998 62389\n12850 51180\n930 37704\n48187 76756\n281 31266\n34623 86878\n55269 88904\n60997 92846\n9642 29979\n60832 66908\n35028 67576\n6694 61072\n70492 80746\n77584 89727\n34172 87726\n45396 64557\n71591 80626\n18126 39172\n2698 74817\n22151 93941\n34870 42640\n23912 27306\n28715 47334\n29927 69835\n31884 75299\n32196 89656\n41165 44672\n2896 50422\n46560 91693\n10245 43680\n16158 23549\n66732 89235\n41403 77921\n25730 50621\n57314 83352\n13856 40866\n34312 83590\n4778 95597\n5082 68509\n30391 61453\n66192 76443\n64312 83872\n56920 74135\n35266 59453\n676 28812\n81905 85987\n23255 87491\n63050 64544\n12656 16290\n43073 88025\n82803 97563\n7682 48171\n20577 24487\n17980 24615\n64616 99216\n38976 64599\n20238 59698\n23595 90443\n73013 80096\n46688 86739\n2198 45910\n39555 57949\n25101 49440\n53099 62106\n51925 75449\n20009 35717\n87188 89945\n77394 96502\n14974 17382\n27202 86180\n24227 85770\n20294 85020\n43204 58426\n2204 96646\n44266 59900\n26989 28976\n4243 80827\n21521 66574\n75923 90329\n65243 67623\n19225 85330\n19605 34831\n35253 77156\n21850 72540\n57836 79890\n32984 95892\n10685 29966\n72659 72779\n11313 84333\n64226 96322\n23581 82135\n42069 96885\n12488 41407\n26210 96556\n3100 82028\n18664 22062\n19854 82776\n31113 50676\n18906 79517\n12875 54304\n3503 48405\n83090 83834\n72506 80177\n5266 21955\n14738 38941\n9490 26855\n44026 98243\n27850 42248\n5647 59663\n40802 97765\n15752 87427\n5455 90294\n87601 89017\n2779 65335\n18954 93082\n32729 62730\n199 10995\n31644 49058\n21446 43295\n37719 76312\n51501 71551\n15757 19917\n29804 80690\n4111 96822\n31600 36811\n23066 28477\n39476 70053\n52295 65771\n55809 86057\n347 40285\n35307 49287\n54153 74759\n69 44847\n27567 59063\n4751 61592\n17043 81786\n31039 63968\n4116 13467\n42980 45918\n7015 46694\n8632 44060\n6003 23436\n24920 58033\n39598 67945\n65911 77615\n28153 28188\n50276 65302\n3183 50483\n2984 46405\n60217 95963\n6831 75371\n21305 77621\n13397 94749\n47905 53066\n45337 87394\n36313 95865\n19705 28692\n34447 60915\n46452 87095\n1000 61051\n75047 85798\n15588 80004\n48936 92700\n21912 49163\n14492 55417\n11118 51861\n17483 79068\n9392 84279\n22799 81700\n31062 93278\n16554 20535\n6399 44127\n8582 97798\n23941 66114\n47356 92077\n37042 49653\n34558 38311\n31229 55356\n49621 67286\n24606 96519\n72496 72650\n1335 36405\n1468 31591\n49639 68124\n40894 74230\n15179 61954\n38847 42451\n24937 86057\n27328 41073\n7781 9164\n19005 55783\n27405 28181\n66234 68910\n4859 32760\n51687 87812\n28442 51284\n18220 85520\n39720 91889\n38945 83719\n42084 44539\n600 4487\n2139 54194\n96527 98485\n19418 38646\n7344 29927\n45640 64047\n1590 24037\n12684 64260\n30967 79232\n27582 48437\n80645 89593\n24269 61218\n20186 43749\n45032 45764\n12284 49404\n5970 54947\n29421 71394\n1737 7163\n4137 79851\n34018 98979\n8471 82141\n22558 91491\n29446 74390\n2145 17933\n18150 45580\n43033 75694\n6397 92642\n12595 46346\n14053 72086\n61780 69535\n10912 93207\n33725 94310\n82268 90033\n73010 73410\n72859 96587\n2054 48275\n21930 50436\n4889 13265\n71095 93011\n29139 98128\n73710 86970\n51928 60025\n22722 76004\n15471 45208\n9214 72792\n7724 43837\n32271 68349\n37451 76048\n59030 65552\n2292 93614\n66211 75804\n39923 81532\n34674 86056\n8356 94207\n14237 77141\n81963 98626\n1207 87645\n4005 82072\n12618 94139\n72623 87355\n5493 98233\n61573 88945\n3666 84414\n40171 46032\n21335 75574\n30499 97001\n59210 74318\n490 15868\n33522 67803\n70493 75845\n14724 87305\n36087 51667\n6436 77006\n44316 94622\n46666 56388\n206 71684\n83344 85131\n5368 81227\n85264 89368\n14862 48577\n13632 90100\n42862 46372\n39112 48294\n42329 85117\n4017 68187\n4860 30537\n23669 42430\n27302 77608\n26332 65281\n45408 52375\n31103 97884\n41860 63524\n40624 60117\n96028 97047\n36961 39919\n33975 87758\n58873 62334\n3064 41169\n59824 70607\n77376 80730\n24664 63681\n46538 49954\n14046 77312\n12910 55969\n7468 73035\n46261 86593\n15481 45316\n30971 39940\n48698 85193\n27581 39239\n10264 87995\n95214 99879\n38746 43186\n40661 97224\n6099 24716\n42593 99489\n419 52809\n14363 33858\n1912 91687\n18782 53990\n92291 96682\n14999 44097\n24805 74776\n62517 69203\n30106 78560\n16985 67180\n18747 25930\n76400 82331\n47034 88869\n29859 94784\n41111 54199\n16847 74959\n11112 11283\n1622 83293\n40665 45966\n28245 72673\n6642 95401\n9787 16579\n81483 90708\n9752 47525\n6763 95246\n38808 85510\n23754 87092\n41777 93674\n19578 52001\n57205 88918\n48278 72489\n45487 61755\n71309 77219\n3348 94891\n27712 43140\n60514 71423\n11005 90218\n10322 50828\n4437 40855\n17985 89528\n1195 19839\n58317 86068\n31289 39049\n21117 64482\n28293 45030\n12832 69877\n15863 70233\n25607 93378\n5451 45220\n24531 33552\n24556 79733\n74362 92503\n66536 95183\n38893 55953\n36322 70042\n16049 70484\n94275 95086\n30806 93714\n29718 73497\n58665 62252\n36438 78212\n22891 56345\n61609 79442\n8513 72986\n841 75999\n11041 75635\n19057 36355\n15903 46458\n52543 56724\n56566 68836\n64238 88065\n24911 97749\n60593 76304\n15299 46347\n31855 44299\n17726 43863\n58498 79830\n4235 33937\n41667 80822\n69851 74493\n25876 80216\n19722 89346\n37162 51669\n17956 86126\n42090 61498\n12247 90065\n18014 42994\n77427 81605\n3710 63090\n18805 78486\n52326 97352\n79331 99267\n27089 97704\n17364 25595\n3629 10447\n21298 24928\n26541 47550\n62232 84309\n1606 5115\n85472 90703\n75766 89920\n1737 79382\n8235 83088\n19119 74249\n12785 77441\n50716 71840\n5911 52904\n1974 50728\n59265 71095\n72485 94098\n6145 7909\n28 354\n1165 74513\n18893 30615\n22783 26718\n9912 84551\n932 70666\n57608 79957\n19603 91896\n23930 30090\n13012 36060\n77976 89399\n551 91204\n59428 91449\n41517 86215\n999 15569\n19246 47973\n20338 44875\n1459 23970\n98819 99525\n11562 13125\n52013 56301\n36143 82042\n69704 90588\n14123 88213\n13682 92351\n7448 43348\n58303 65246\n22261 23213\n61375 88911\n4955 62611\n53354 98545\n29397 30738\n74099 86344\n74914 95769\n16200 17436\n52366 57808\n3057 85052\n13217 40656\n11539 36264\n30380 37113\n30736 43683\n93954 95075\n56604 68919\n21699 86845\n32159 34197\n556 40573\n42027 97384\n570 88933\n9565 50242\n66881 91821\n10177 41221\n57398 82954\n42979 99366\n24337 39399\n70902 71707\n14302 78960\n42024 46224\n15019 47911\n94939 99325\n1406 94748\n15534 54085\n52209 63509\n49266 98381\n8398 67252\n11046 15617\n39551 61009\n56572 77119\n41880 84146\n10708 44275\n4268 15992\n15679 63654\n2876 97865\n14977 42895\n26459 94364\n49654 74741\n40435 98041\n293 22435\n16438 79362\n41040 95767\n95239 98573\n44576 71349\n25738 80973\n46626 49326\n87071 93104\n14839 50591\n29067 30793\n41116 95470\n80154 81211\n44956 52123\n9182 93337\n83707 88244\n64135 86348\n19287 58751\n57721 60041\n41881 90846\n41387 49377\n84715 86250\n34309 35972\n52021 82135\n13048 50631\n96500 98260\n13611 28975\n70290 82840\n3453 31952\n23464 85332\n17641 49359\n5748 99768\n36308 68897\n28910 85238\n18266 63542\n15946 73783\n44785 92240\n5333 45848\n2963 31966\n19226 91485\n47168 60115\n65820 86633\n17591 65771\n18442 76372\n24267 39507\n823 47201\n43584 88949\n80113 98220\n51570 53748\n1181 13319\n8316 10141\n4562 99628\n35697 70749\n62673 86194\n11149 59215\n26474 69169\n24092 53455\n79472 92891\n52559 83160\n47484 59710\n90427 94780\n6151 41109\n6474 79860\n80444 98290\n48 39841\n35180 82319\n3452 18017\n25604 35920\n18637 82562\n2959 61670\n17802 74367\n36853 56816\n17048 30753\n28148 98717\n16577 83525\n61841 87545\n65036 82491\n23047 42767\n67858 87355\n37025 64513\n12515 70687\n14662 54069\n15250 88940\n76701 90452\n25483 85314\n19951 55167\n32088 77194\n4722 39107\n73913 83458\n42064 66730\n44842 68747\n19650 72969\n95855 97545\n53250 74107\n40253 83859\n7211 86504\n34094 40296\n561 81737\n37183 91482\n2960 85320\n3567 66324\n55497 91015\n42314 72416\n2857 69643\n10890 68485\n19557 51773\n25086 95092\n50321 64549\n10325 49792\n39400 71202\n38798 60747\n79002 95146\n6417 85108\n45191 85380\n4297 22020\n20511 81734\n1356 19000\n54184 56129\n38463 88402\n15651 79685\n26481 81672\n14944 55393\n11631 60743\n50793 62124\n30667 75708\n59161 82758\n12885 33539\n4233 52205\n79691 84724\n4741 74916\n1588 28462\n77673 84473\n36615 40449\n28623 53453\n97328 99117\n34633 77660\n25097 40717\n39427 74318\n66529 95538\n22382 43500\n29565 77047\n16738 34455\n20218 93735\n47338 62021\n19029 25030\n34681 96902\n57652 60377\n24747 52269\n24363 28384\n21299 33213\n8696 72315\n28336 82661\n1766 76588\n33943 38420\n60241 84866\n7870 48790\n89323 96912\n6885 90769\n63601 73896\n61412 63613\n6986 26496\n66343 69069\n14393 29871\n39346 74537\n55266 73750\n11315 92596\n1935 35749\n31224 62208\n24194 44902\n4886 57787\n7595 30338\n7470 87096\n10620 25668\n32100 37413\n44288 91797\n16541 49665\n1727 78696\n11421 88256\n2513 78498\n31526 34491\n92236 93854\n36027 72305\n39684 68963\n51892 57949\n15949 43773\n83555 89807\n37181 97206\n30328 77646\n53666 75042\n8667 78756\n7721 74810\n79240 80218\n38547 64313\n14423 20341\n7113 33722\n20997 56450\n29676 35872\n11230 68258\n25827 79076\n25687 51784\n58947 84403\n28264 60069\n16546 91833\n35469 82683\n14291 51906\n82286 84926\n7053 83646\n23168 43203\n25530 52889\n148 90956\n25722 65105\n4651 90597\n28522 37930\n45448 95925\n79093 93720\n55412 63291\n16970 73440\n37524 52319\n46898 75365\n20911 78521\n77358 80885\n54709 71021\n20973 56791\n18540 58267\n58768 90248\n39878 48317\n56067 99028\n8944 88151\n5805 73291\n8102 48450\n6411 79525\n55935 95902\n33236 77347\n56410 64630\n68071 72257\n57333 68864\n27391 55154\n12050 95323\n32391 44457\n42739 69957\n29459 76496\n47078 83433\n5927 48030\n52844 78757\n1336 72549\n45980 46800\n27214 80635\n50453 76614\n12077 43813\n3613 17842\n10446 93429\n27521 59120\n4707 93752\n29122 94024\n28941 90402\n1996 11739\n78689 90241\n14866 44231\n8055 83676\n29026 94546\n68373 94988\n20810 56288\n55304 87652\n19829 39795\n25676 85035\n1414 67956\n32488 94491\n79231 83417\n16541 83646\n45644 96704\n43060 89674\n15071 50387\n9409 70817\n56171 59203\n6397 13985\n2094 29074\n9804 61353\n74078 90024\n89456 94953\n9160 19868\n28890 49146\n14120 32442\n16895 43777\n23016 74743\n34431 90719\n61732 93743\n91960 92948\n25311 75767\n59372 75310\n47792 59832\n30802 45523\n7483 20035\n42982 78285\n62297 77779\n1482 97796\n44619 95258\n53903 89848\n1953 53241\n51167 81910\n56228 94985\n3450 30255\n5127 12550\n11370 90558\n25180 51817\n34439 66770\n16766 41139\n35366 69509\n63158 67087\n4257 9634\n33484 50897\n29869 37119\n72670 88144\n56624 57510\n33142 99635\n20385 47771\n48556 77064\n22267 55896\n13963 33016\n47164 90156\n14132 98452\n4983 42642\n530 69853\n52446 61802\n47437 67329\n22829 86921\n7236 73441\n48679 69539\n16547 85205\n57282 69284\n48500 81842\n21599 87619\n25191 86831\n19758 75523\n20775 62984\n85522 93884\n28256 52640\n37573 51358\n45625 75439\n31183 83724\n46446 63795\n65080 97477\n46674 58514\n17691 81419\n15188 64596\n43353 59122\n54072 92386\n404 61164\n13067 57984\n58930 79793\n42800 65658\n4223 82638\n13510 82572\n64912 76241\n4578 21918\n44476 64748\n36365 47892\n6575 7894\n26516 56956\n50332 77711\n35679 90734\n86628 96546\n21081 54964\n32684 60174\n66090 88050\n11263 15839\n60842 61689\n27560 32694\n48917 98854\n32317 62793\n29769 40549\n33469 88131\n497 12587\n26394 29556\n4645 53554\n1984 21791\n33136 41292\n34493 95622\n2205 47530\n58811 95210\n20346 74027\n1200 45286\n24428 83650\n23212 79125\n58145 83990\n50989 75779\n4564 35406\n16667 22769\n59159 91027\n4637 22494\n24937 28956\n31520 98834\n13162 61005\n51453 85681\n14753 35814\n10453 96529\n39444 64525\n5672 28761\n21530 74120\n2771 8359\n56456 69365\n59319 81318\n9599 19679\n8306 39474\n19903 83286\n43432 78334\n54382 61776\n25362 78486\n58759 90141\n39008 95082\n23339 59506\n94786 96613\n34447 46895\n19578 61382\n49499 65192\n8850 28821\n14453 91842\n60593 82360\n26120 78200\n60225 62337\n43648 83148\n47896 50346\n57484 96134\n10192 28776\n37001 41504\n70756 83451\n68857 92531\n83034 94788\n10618 73112\n68741 75949\n27025 28211\n57932 63562\n61003 85468\n71358 96690\n19298 69168\n27775 41289\n5856 11339\n20902 54618\n71385 91155\n567 24930\n17465 38170\n6671 19739\n68895 93859\n9017 52934\n8959 81300\n13123 33508\n52386 71648\n17104 66030\n17274 24036\n71203 79220\n31371 74697\n35353 71186\n31893 75671\n48640 98021\n11332 73257\n50135 70911\n41305 50543\n1864 43111\n16914 72367\n22498 77941\n11926 20808\n27656 77912\n2811 54953\n28417 99253\n31848 50300\n14037 54090\n73040 90098\n74634 81677\n12248 83457\n86219 98953\n15426 93468\n11352 77104\n27138 68978\n73981 78160\n23564 58705\n26498 37993\n2745 46503\n32900 46147\n32798 82645\n61385 64943\n71943 84353\n67814 78677\n19483 50789\n648 61952\n69364 75861\n15402 34657\n7736 87534\n42061 71046\n6085 56454\n6773 21065\n35743 48446\n83686 85837\n11591 67522\n26076 69163\n32660 35396\n7509 54092\n69188 91107\n21460 48270\n11197 16414\n65164 94794\n54313 86431\n16354 56835\n14417 39148\n12849 41907\n48453 79028\n234 28593\n44537 65508\n7768 34173\n52198 77682\n85227 97709\n6053 54244\n37898 56056\n57109 74643\n8628 29519\n19547 26295\n14906 32291\n58368 73639\n69911 77408\n37180 91455\n28314 30785\n5622 17285\n66658 79662\n42435 90390\n27425 73550\n60251 93408\n21831 72865\n56576 90954\n63111 84291\n9852 29574\n12009 70908\n14898 68612\n59843 89584\n3034 24234\n5454 44126\n43936 99283\n64804 66565\n21200 82936\n31294 60645\n21087 38776\n75162 75583\n87055 91127\n56545 79983\n31940 63912\n32368 38927\n92020 96204\n354 902\n26993 73885\n49728 61512\n8549 83007\n79 89829\n45057 70251\n36741 95613\n71374 90653\n2295 18489\n73360 81819\n15854 30038\n89185 92723\n18797 62615\n8451 8932\n46072 92728\n69109 96555\n10673 45045\n10787 15771\n16540 43797\n60710 77947\n74008 90099\n6482 93907\n67528 99938\n4293 72318\n13829 67146\n40350 93205\n62777 92755\n25094 36636\n17819 70873\n46774 81895\n27761 52883\n43402 51600\n93267 99204\n26779 87442\n19868 58430\n29237 85975\n9346 83819\n46897 77242\n78103 89152\n75681 89445\n82530 85159\n4712 12961\n11814 68244\n72774 88264\n27589 81775\n71209 87900\n88073 94091\n34596 66250\n54024 61207\n11119 11296\n23982 24523\n5250 11374\n25617 80435\n52223 95107\n49492 65438\n20496 91850\n14447 69040\n33248 53574\n79052 99404\n25061 52032\n18639 94645\n29073 35275\n38883 86565\n5165 54559\n22943 51916\n5123 57209\n829 83330\n4049 94751\n44774 98099\n33831 45810\n15 26385\n29781 52613\n44043 71603\n51800 79588\n19196 86594\n50911 72902\n39573 84537\n25010 43726\n42767 96341\n635 37226\n45177 46308\n71462 85857\n78 73899\n55796 86005\n38765 84907\n10524 69954\n32492 88885\n27177 51629\n13119 13644\n93281 97778\n73377 78579\n16061 51914\n33227 62453\n91603 99860\n37076 41308\n17547 82987\n51634 55980\n7622 85908\n18323 58047\n6910 95299\n43272 51162\n65438 87685\n29968 90102\n8358 16004\n43073 83545\n56675 97279\n41870 52385\n23727 82290\n37149 52765\n11086 20917\n36182 80006\n28656 93155\n24727 70193\n36832 84456\n34445 89653\n29791 67993\n22951 71719\n11380 96010\n21564 44765\n9422 75053\n63514 93979\n72642 83721\n65549 94874\n20427 69597\n1541 48646\n77561 86373\n15591 39415\n4767 35824\n51699 61597\n56530 90636\n8157 56226\n3959 53957\n33831 45260\n13960 41587\n2559 53043\n46904 72487\n12967 96478\n38665 67813\n14763 79761\n17952 56330\n41220 90602\n42331 63503\n44885 52019\n18850 68664\n49884 53137\n11266 92602\n47033 69110\n13202 88944\n73020 90626\n3365 99868\n14502 17387\n25174 62687\n40322 65915\n37699 49215\n42065 47754\n62823 84042\n16140 51851\n20992 66920\n34105 36899\n22959 25856\n16572 32160\n19124 47719\n34409 46352\n47769 57322\n6382 46917\n7788 38075\n25788 56173\n2844 68221\n22929 37741\n5290 45096\n75427 97216\n1418 27032\n14634 18732\n24265 37537\n84529 93985\n8006 55896\n55133 81334\n46991 85957\n20723 72915\n73417 94897\n37485 55252\n9335 12175\n28805 95092\n21423 36183\n13459 70346\n31616 75061\n13066 76227\n19644 97862\n3520 47240\n519 13683\n17650 31580\n25265 64256\n21895 57944\n1191 55135\n48647 81366\n8753 20261\n16411 68542\n5593 17993\n58312 78078\n21007 43071\n12829 86755\n58445 98920\n40011 57694\n38556 55487\n13861 58192\n7598 12654\n53902 59025\n19202 71631\n28877 77284\n9960 16986\n40212 57172\n9764 86594\n74402 83538\n20334 53494\n41272 43204\n40973 72045\n42557 62250\n21166 57300\n5571 89554\n29265 45696\n5433 94365\n51319 68921\n61177 90604\n12291 13781\n32168 58484\n31369 41130\n38046 85976\n10022 75865\n13785 69066\n21636 45031\n6942 43229\n24186 42874\n6669 89886\n77634 96562\n15248 83720\n76170 83042\n27637 54575\n30583 81576\n53945 90851\n19854 71351\n21115 32969\n18885 25187\n11390 26149\n10413 67889\n12128 67252\n59343 96469\n9643 93045\n9188 61885\n52551 63514\n26982 36615\n5177 72257\n40440 66945\n61634 66875\n32773 33252\n40883 41007\n3840 25846\n28869 44560\n1904 11733\n18140 80640\n76987 85092\n34298 54425\n38380 63167\n5371 16101\n29500 36526\n22773 66292\n21937 69225\n1558 77108\n46890 67343\n36439 53522\n39752 46592\n57521 76644\n64956 87392\n8796 87755\n45079 80575\n28859 75545\n61147 77443\n5249 28863\n34149 61020\n32016 76254\n20317 33459\n19235 94126\n750 24262\n17018 46059\n35193 50381\n11434 45211\n16285 86097\n53910 68743\n19190 51820\n2615 9792\n3211 99551\n76518 89011\n35154 98360\n5642 7078\n63805 80167\n66340 94250\n25275 70137\n6513 84197\n58076 89620\n47156 61076\n8120 59888\n6768 62321\n38135 45473\n12894 86123\n17760 50714\n51566 83821\n12459 24840\n10102 30089\n23740 62873\n17051 37592\n15133 37211\n12539 88105\n19800 82718\n288 98828\n68727 86316\n14711 29988\n69018 74573\n15434 44023\n28312 37792\n15516 92263\n70545 90241\n680 50736\n74868 89650\n58027 94766\n3342 26239\n69297 72343\n45626 83537\n20558 22940\n52542 67253\n3220 59997\n16534 68032\n18045 48362\n26096 73672\n7387 47914\n5763 31240\n5395 69169\n9913 36487\n63084 68966\n30183 30327\n4837 79765\n18547 92952\n61349 73932\n3305 21902\n75073 90284\n99892 99955\n7416 85531\n36122 53705\n59905 89490\n57827 84383\n32774 55187\n23617 52729\n69555 90855\n13252 20642\n88942 95543\n22861 86346\n12268 66973\n58920 75377\n29077 79115\n17490 25647\n18063 84045\n33694 83190\n58947 68281\n35438 38265\n16808 59527\n8366 14219\n60631 63908\n13887 56171\n15647 89781\n37195 38672\n46221 71172\n38085 90973\n50146 82490\n7019 93329\n18262 37657\n25720 84734\n51831 97836\n1076 75475\n23386 61156\n62857 91871\n11593 16161\n79496 86676\n5961 89110\n49850 76426\n22794 83740\n64802 96083\n69266 70554\n59844 60293\n42088 49981\n61012 98012\n13777 31992\n18632 29362\n7994 79567\n74154 84613\n71316 96147\n14385 59147\n47632 97685\n27214 66063\n3973 82107\n6542 90940\n5543 87486\n40252 70335\n41867 91699\n16563 61609\n27219 64193\n9221 51684\n58220 88715\n30344 69722\n42913 75375\n58365 95742\n19032 78218\n13087 60527\n55901 67149\n15692 34693\n24985 28970\n68396 72632\n18972 79019\n24137 43084\n51458 58742\n41380 85022\n13498 37796\n25191 99511\n6030 89937\n33806 60300\n73226 95601\n21291 62862\n28261 45053\n26467 73492\n11199 63885\n19533 20460\n7113 86119\n17525 38628\n40256 68921\n54095 55346\n39025 98095\n14495 60717\n42900 99088\n46564 69438\n38906 75076\n12129 87147\n2139 8166\n30030 90950\n34981 51219\n35679 46858\n11464 56774\n46232 71713\n19232 20846\n7958 85193\n3112 96125\n36391 54636\n40115 42765\n79492 99541\n4222 43486\n9619 14233\n11251 55719\n22673 69982\n78765 80035\n42195 63333\n3296 95626\n1590 12713\n419 67323\n6266 66880\n17348 30021\n72684 97774\n32500 99823\n60835 80042\n65529 85077\n60284 66629\n1065 32667\n3642 90466\n23493 34614\n22944 52526\n40243 66130\n39298 99130\n27904 52551\n13041 16019\n3079 30188\n5005 50043\n31948 56269\n19432 77334\n59765 84949\n2263 43416\n32162 94879\n49613 72093\n13032 58773\n9964 55415\n50211 67450\n34635 63285\n41786 60910\n31614 71582\n21376 63132\n70580 76027\n1124 5187\n10215 33529\n60670 87605\n515 17752\n26582 95522\n33439 50443\n44948 90445\n16273 85199\n7071 57803\n80923 96668\n24902 98814\n3464 7815\n7157 76015\n32354 61940\n20472 59108\n55544 88723\n29426 89550\n19103 49894\n49601 86854\n22257 90509\n27352 84518\n10970 11035\n23234 47290\n758 17661\n22118 72841\n41402 63839\n56128 58613\n4139 83498\n29057 96458\n17764 57733\n33709 56160\n12395 50626\n22097 48120\n28429 34762\n15576 88611\n21548 35501\n27180 48969\n6159 65995\n3793 9455\n35786 91926\n20420 31053\n62976 80008\n34421 61134\n26162 86161\n16537 33449\n51573 69087\n12357 38089\n45227 75955\n65154 95895\n8083 22811\n33611 92369\n16189 77154\n8702 60301\n2111 17518\n2014 46093\n21199 50274\n13931 54747\n18996 35341\n38762 68419\n18469 74014\n13104 26455\n3417 37026\n73177 75698\n78536 98607\n6519 54944\n74100 93321\n30048 70888\n72632 78142\n35088 66352\n45859 61401\n94873 95911\n55447 55540\n61035 65079\n67367 69336\n69052 84661\n47370 74972\n15709 94805\n70662 73125\n77382 88206\n9538 20263\n54410 74036\n63609 66200\n78355 98524\n564 94642\n2161 28520\n13665 28934\n22432 29671\n78295 80188\n11463 93789\n31127 75128\n28319 70499\n12772 54309\n23160 42758\n44017 93396\n57146 85297\n27801 75324\n90689 91063\n70397 74739\n75006 96591\n27986 95605\n41229 71343\n36875 39664\n34908 79899\n27146 66071\n12905 58277\n41958 67441\n51960 58717\n27399 56139\n31431 89075\n31983 87158\n66025 87008\n49859 84388\n16899 89109\n27412 58092\n34766 36374\n70188 91572\n568 58462\n38764 55252\n6032 90094\n63024 87571\n66558 99048\n13811 65405\n35217 52413\n11317 49643\n38637 39046\n63815 67970\n37915 49063\n34306 83508\n40868 58937\n63620 79842\n21678 49812\n52729 93717\n12058 58367\n34452 80007\n40624 80434\n59613 80787\n2579 13998\n86726 92627\n6717 9820\n28245 35952\n33671 46901\n17547 90295\n89 67616\n36324 59680\n32962 34314\n78739 86887\n743 22207\n62164 74173\n18973 77543\n12082 49362\n4068 27728\n35132 83269\n2899 80168\n20724 94137\n1337 2058\n48494 95397\n43164 82850\n4350 29681\n53777 99083\n3582 23591\n71371 71800\n33511 63629\n32895 77861\n18415 39609\n9011 83662\n32612 75905\n59918 60985\n3070 40156\n77066 86636\n38371 45428\n34462 95519\n41836 75215\n18414 65825\n1720 39378\n34389 56575\n4824 32943\n8819 85679\n12742 87353\n19215 26642\n339 87524\n79044 88496\n11680 64717\n6606 23666\n147 84536\n8225 88604\n39529 97548\n1387 77216\n14775 85827\n33666 86423\n5313 60255\n68998 86890\n63639 69708\n31351 85746\n9706 26238\n13844 14792\n26191 38289\n38183 60514\n23942 63036\n58365 77222\n36447 36937\n2477 3106\n37138 61477\n31006 40836\n41798 41829\n39851 88171\n55659 77383\n11695 46235\n27136 81750\n38437 86236\n42470 78074\n12922 58862\n63924 79425\n24394 75630\n29815 53399\n2444 87075\n23810 23920\n17406 22982\n21273 39194\n14712 56684\n2061 80033\n25031 58122\n39476 82435\n47200 75038\n72005 90835\n4006 6921\n85195 90318\n3876 92044\n52603 59558\n92987 99756\n42087 84928\n6244 73129\n25165 57751\n43529 64469\n15266 51778\n36630 53256\n11955 37911\n4011 23195\n51943 78058\n9145 46416\n44652 47171\n45762 79840\n10319 62341\n46387 92098\n5358 27704\n45205 81602\n22524 24247\n22407 41932\n35765 52960\n27934 42966\n73777 82090\n41851 94324\n28960 74731\n29465 31534\n62080 68174\n91303 93988\n24553 88193\n43750 97785\n7856 50464\n26092 84550\n62105 77423\n9148 32596\n12250 64864\n26238 88648\n32129 66750\n78207 87416\n45830 94834\n34780 42157\n3575 74257\n25637 73352\n13487 53332\n34942 60840\n42782 90357\n9097 33301\n52589 64672\n15814 20789\n73380 98546\n2724 3687\n88182 98109\n69554 86634\n14921 63676\n15246 54732\n35072 63198\n59714 66038\n24568 49759\n21691 98877\n17906 18347\n29448 82055\n66595 99250\n1921 79692\n10990 58733\n57941 69691\n45221 78770\n10468 35762\n24504 80981\n74972 96106\n15622 61345\n43317 46484\n10382 64079\n12915 66584\n73118 93547\n19334 88079\n83688 84047\n4618 98152\n6854 34395\n2643 84061\n20077 35776\n48295 66079\n8657 63613\n24604 66415\n10489 19144\n38777 57902\n56729 81104\n33172 56128\n22534 65603\n1148 37906\n82648 87725\n48868 67706\n1179 73235\n33416 55744\n9793 73103\n61563 80104\n7572 74503\n54203 86457\n614 99996\n15381 29591\n21893 59026\n48687 87692\n20666 76485\n23726 54157\n53178 81141\n21806 47342\n4048 91974\n30716 43877\n68441 90629\n32535 37194\n64642 85714\n32978 71429\n1973 82953\n21979 65004\n59574 92142\n53883 61208\n52610 94690\n75429 88115\n30566 81833\n23997 68840\n5173 37078\n41543 80608\n5376 55465\n26785 61704\n9178 77909\n41806 87345\n81612 95254\n31755 72324\n61707 96224\n22933 97940\n3571 20099\n86746 95473\n37213 74698\n3546 81157\n37817 72590\n7940 52783\n8116 52089\n68167 78904\n3661 57373\n1095 47972\n29008 44654\n20852 67733\n36551 54219\n52964 67948\n52664 85998\n6794 43996\n9701 84499\n79489 92342\n21829 26333\n31512 33495\n34481 94129\n3844 68012\n15532 54659\n12415 40458\n37911 46904\n9493 12329\n22480 56713\n29030 71810\n52732 97034\n81614 82691\n5027 44811\n37264 91665\n15407 69451\n19650 83755\n33724 84142\n15364 36095\n49870 81185\n63137 88057\n10022 18952\n73838 93755\n2816 58913\n31522 63643\n38142 77170\n47760 76544\n23947 75069\n229 23271\n78718 85005\n19949 42719\n31702 75795\n9276 17043\n31915 67716\n68527 86863\n36839 53544\n26059 50993\n5978 80137\n16878 32923\n29647 45599\n37397 92026\n2929 10728\n29240 96847\n9099 32031\n20620 46321\n29946 45788\n25375 56154\n38318 95940\n29253 70623\n33823 74961\n18272 33734\n44541 53222\n16763 92771\n37138 87415\n20835 81086\n60718 61149\n45800 78692\n66259 91032\n21062 45740\n16417 70527\n20839 23556\n71576 98720\n41097 75332\n15231 83932\n7449 18144\n34374 48156\n9720 83077\n57623 91364\n35443 38047\n56069 95920\n35137 41603\n2746 8784\n8558 11981\n6060 30001\n30815 83756\n1611 97040\n243 76874\n42003 63776\n31811 44031\n22563 40642\n19217 84619\n9710 57007\n72320 99092\n47417 83859\n15479 85065\n31366 88704\n24628 41472\n9300 94462\n2383 5279\n1118 57510\n17271 26231\n21392 52202\n18203 81571\n9123 74152\n58448 70041\n48579 57452\n35394 42011\n24749 85330\n29458 53542\n59973 70699\n25617 32040\n51443 91407\n52158 81409\n77393 84281\n29902 44241\n72165 75259\n53803 94015\n59023 87385\n781 3894\n13713 98129\n36342 67746\n14744 76908\n30748 53725\n26282 81319\n15771 63423\n36274 98020\n46080 83920\n33528 39435\n90293 97294\n23177 24050\n8744 62746\n74984 97888\n71626 88670\n34417 55778\n8238 40441\n16361 68081\n20564 49658\n21845 62516\n17427 40753\n86882 97343\n76156 80632\n23609 45189\n24795 75458\n75412 88645\n46213 47833\n15650 66851\n83922 89887\n52439 88913\n1576 54896\n44800 58923\n33519 35626\n47943 89710\n14911 48666\n33238 91946\n37641 74873\n29933 38818\n7308 64534\n7652 42647\n50910 87769\n67907 69273\n14411 29487\n70755 93605\n65452 81769\n17708 52869\n7301 65949\n7108 77854\n29119 96019\n78958 90815\n35275 35929\n39167 72338\n70297 93743\n12558 89121\n49266 68935\n47346 51816\n9421 37039\n4510 14635\n32414 64936\n68418 89649\n84882 97041\n13069 54908\n10352 91249\n84695 87052\n19214 78169\n14922 18050\n92953 98712\n17626 90004\n30060 70424\n85703 95063\n20093 57290\n30693 68540\n85280 92603\n25910 59962\n31503 83206\n8813 34196\n896 95083\n10716 42049\n11370 58110\n18186 78144\n8717 37529\n26323 84949\n12917 87919\n1685 54227\n15139 32130\n12244 65002\n69000 73986\n12540 42680\n84641 86016\n79389 83227\n44607 78883\n16242 27162\n86562 98792\n15925 93591\n31748 67158\n44090 51201\n5583 83665\n34739 53721\n33159 36317\n6898 47450\n49027 71454\n31640 51197\n3758 64884\n82 94921\n314 4013\n78599 82479\n40466 83374\n37492 87330\n9854 69130\n10868 11933\n21329 88581\n19173 70802\n1875 20364\n4939 97680\n7019 12074\n40960 84248\n37607 72814\n21114 92049\n14144 36956\n13927 35566\n7020 71413\n16770 98180\n27810 95125\n28556 79732\n22696 86200\n25297 95233\n69459 81854\n40750 90649\n28154 76437\n9011 48875\n37793 42324\n62517 79812\n42140 80766\n16706 90171\n47776 57189\n22946 99520\n6144 16693\n29823 56270\n13477 77047\n55714 56651\n5853 71526\n3690 27976\n19911 75321\n2519 57226\n75948 98293\n6347 63118\n27212 52344\n44977 45591\n14481 83299\n34369 67811\n16012 63846\n17662 57351\n56253 65217\n23 40620\n36674 81874\n23893 63593\n40155 69377\n6800 42160\n2506 87411\n26211 61476\n81058 91279\n9230 60207\n62292 96193\n21441 75936\n18002 92582\n6504 42171\n48948 70569\n49118 70169\n11603 34408\n42060 86635\n23535 23927\n4337 62617\n51810 94523\n75172 98653\n22525 94258\n22466 35451\n26027 98969\n26660 80124\n55763 79220\n28360 31373\n30083 55614\n20065 81064\n40914 73317\n34957 38064\n45116 74926\n4216 78270\n39068 88462\n46738 92099\n74585 92841\n16475 63058\n26789 78332\n50671 98519\n46944 50096\n11458 35219\n39888 95113\n63871 99281\n19008 29379\n11109 94226\n3428 49362\n2294 17696\n28720 47435\n20974 36854\n2241 28782\n38189 46134\n32015 88603\n52285 57375\n4037 68948\n66346 98493\n997 22405\n41349 82866\n47852 49160\n4576 33506\n19668 84337\n44041 45045\n21764 75612\n1514 49307\n20218 60205\n28799 35589\n14765 50145\n57178 81233\n35409 52845\n56196 58421\n22725 28537\n18091 23493\n14966 79662\n5893 91884\n64156 89275\n57425 69013\n51638 63272\n44265 46475\n78989 93928\n3652 27230\n31054 67624\n20121 66451\n32042 74469\n27547 89964\n77014 87631\n38424 47783\n36105 57974\n60999 80554\n14067 26944\n34207 91724\n23382 82269\n56733 58039\n31349 79434\n3053 12133\n4547 20304\n53316 78129\n80909 90111\n9674 16781\n71536 76078\n4936 90861\n18788 98485\n11333 74591\n63943 87664\n86587 87702\n16062 25965\n26723 34195\n14339 47168\n62999 81911\n67236 93475\n9767 94553\n40034 43141\n11118 78281\n36636 54681\n68678 70484\n35556 62554\n55566 70777\n12744 43463\n8281 48198\n124 38571\n74561 95106\n48224 53659\n869 71447\n62119 86169\n852 94241\n33534 59769\n7752 76764\n42 82245\n68854 77902\n4757 93397\n9352 61942\n15647 50943\n5666 8541\n1253 37444\n19129 44423\n11138 59620\n7396 84410\n7634 59828\n65020 66753\n19298 26318\n32422 93149\n36443 71656\n74529 85487\n30554 64355\n14946 42337\n4396 68948\n70745 72605\n24199 80278\n24080 29623\n31812 54972\n15063 82468\n21577 64856\n48575 84062\n31502 90766\n50881 68320\n38341 52488\n39202 58913\n13665 19315\n47420 50464\n36462 49079\n44346 48733\n12479 79325\n7297 96823\n3080 65056\n11024 93068\n67703 90953\n63770 94974\n28039 28693\n28307 46499\n49338 67518\n42218 72404\n61100 97687\n63017 94608\n4841 68195\n4962 77646\n42712 79686\n34523 90634\n26262 46287\n21836 42102\n4427 61584\n26122 84950\n51614 90523\n3513 98356\n14929 74285\n23906 94454\n81587 94798\n5191 18428\n55531 74830\n27943 52714\n20558 97750\n31516 90444\n41760 73583\n1834 50082\n39696 55489\n17134 66793\n240 93964\n34939 57688\n38110 65219\n5872 6428\n67469 79685\n1382 8895\n28247 58098\n23979 85568\n16731 82275\n48519 64135\n69603 78576\n96973 99671\n78415 95849\n23731 89300\n29499 41288\n3958 39112\n30068 74547\n41462 90223\n6511 48644\n16055 42527\n16942 75200\n6546 94748\n75783 98694\n13458 27911\n19367 83200\n43891 98141\n30629 65650\n6140 68371\n8357 44675\n13342 88622\n64846 98196\n9859 39397\n13167 76985\n21749 64909\n15551 84697\n56897 76946\n88447 95731\n54190 78778\n84892 87626\n37393 59754\n31454 82965\n11248 95834\n8003 36200\n5836 29233\n25292 62225\n61059 72788\n25449 55519\n47184 64417\n90601 98030\n62375 64768\n20058 41873\n28884 65712\n58235 74361\n81931 85403\n6881 19008\n26735 48074\n6834 29769\n12622 55376\n48631 88260\n10863 93494\n67509 93661\n24626 33243\n46217 80068\n72598 80676\n4271 56752\n4754 7205\n29975 42925\n60752 79843\n20461 79478\n34851 73407\n10487 99467\n10076 36662\n31784 90513\n69246 69473\n79797 86995\n61420 69270\n4759 68029\n8604 51597\n3320 93713\n31953 61444\n45440 89953\n88434 89198\n34897 60732\n27310 77114\n5754 27756\n90060 91262\n23899 47635\n8906 76624\n76662 91646\n45088 72623\n37730 62003\n37500 57203\n6599 64220\n35892 98596\n49493 59758\n8613 66693\n33072 96261\n38689 60303\n38702 95234\n9456 96690\n74156 91412\n29944 31162\n11300 44275\n20528 39199\n52364 71264\n2878 14651\n22778 45371\n20310 46708\n9704 10070\n36796 68259\n73994 93143\n14526 19285\n26540 60511\n40384 65562\n65615 88793\n61412 97182\n50001 63355\n11018 49880\n22098 83012\n23797 66801\n31278 92709\n63619 89108\n7285 35938\n80385 81586\n1365 78178\n78515 88516\n7059 22600\n14202 55362\n62051 83788\n48953 94514\n32060 34390\n55672 97175\n49883 82615\n94461 96356\n65827 78066\n15383 17437\n5551 29307\n7113 92982\n19667 28114\n12356 33606\n6409 78128\n62817 71160\n5474 17253\n42407 84341\n47058 53456\n20079 76572\n42284 73152\n32087 65115\n20938 49319\n24875 59526\n44782 89473\n33698 44587\n42942 99240\n20571 56643\n12886 97807\n8896 81949\n41751 42877\n15018 22266\n8853 94822\n56105 72712\n67111 89606\n64885 93150\n17544 94289\n55192 80608\n62710 90710\n62926 93860\n6126 15281\n32366 90979\n76173 88083\n4605 79392\n50803 73288\n3769 47493\n11836 80322\n11986 28307\n49159 98000\n89568 98491\n9088 82832\n1456 14020\n37240 62092\n64280 83130\n44385 49571\n10516 68731\n21186 39511\n15323 58857\n3244 99226\n35317 40444\n780 28815\n68915 83095\n10604 22158\n9928 12206\n38444 47614\n33476 85645\n68871 85049\n20324 50559\n8003 36673\n32702 47384\n61334 62522\n27157 37115\n9359 63899\n38404 93610\n24306 71248\n77530 77869\n25221 82287\n1258 13712\n10043 63354\n40965 94166\n37801 84416\n73640 84232\n26223 90083\n8163 84838\n51270 64744\n52799 89084\n30379 96236\n17466 79532\n62688 95855\n19566 91219\n5214 93813\n12021 89926\n25254 83031\n50015 66926\n32976 62088\n43057 68044\n5691 27037\n19061 43232\n22936 43102\n33610 84265\n40668 54254\n11782 96373\n13647 17088\n43161 49515\n38045 81849\n3623 48990\n30825 88137\n36574 88218\n5306 50702\n44827 62221\n41260 44350\n54787 96905\n1602 36745\n62933 80859\n13003 93152\n2875 42059\n17851 92860\n25779 52492\n6682 77483\n12280 23088\n82883 86008\n12041 92886\n85338 92468\n9662 17248\n17916 88200\n30640 56697\n4770 23093\n46929 94234\n15384 20546\n43252 83973\n16591 90619\n29667 71604\n64980 70368\n51323 70616\n86597 93558\n51001 61934\n37683 98587\n69688 93049\n11559 92279\n26841 27093\n42431 42819\n13704 96234\n68887 91826\n74391 92137\n44743 83287\n45559 46638\n19326 87282\n43159 43904\n46195 64111\n24717 78654\n43602 90921\n19066 75601\n78727 99836\n6156 48016\n53834 86261\n35372 80415\n20604 33963\n53954 84386\n3445 16453\n63593 64372\n863 81644\n31298 59412\n18613 74036\n15845 81957\n5323 53800\n51577 71536\n42101 84995\n23299 28928\n21883 46908\n25216 64346\n64610 80640\n15739 93767\n25604 59255\n17064 63521\n10306 66663\n17143 68842\n9341 48602\n69283 89950\n63526 88651\n45576 53246\n23538 81863\n55169 85031\n45093 61932\n9647 87725\n36161 74752\n31413 55694\n58482 65239\n19234 29719\n21810 97765\n78422 93038\n31564 71838\n85849 90957\n13206 62448\n36963 81076\n15580 66592\n81776 84497\n54534 95841\n76640 96241\n12119 37955\n12691 82514\n6439 38298\n40367 86063\n37901 74361\n62017 70213\n62635 90813\n61192 71043\n26465 57139\n31030 32844\n15832 89497\n77141 81670\n63686 83300\n34586 86919\n35664 95937\n6102 93401\n33231 76060\n29051 38663\n53747 71423\n64876 84751\n3307 26482\n6727 54659\n7681 65128\n71625 74627\n77388 87486\n10250 23430\n23889 85856\n88214 88436\n40695 82680\n9719 28732\n2813 36559\n14050 57903\n261 19438\n50190 88623\n26750 39443\n21222 60231\n55948 58454\n72262 95477\n3021 63450\n20100 54952\n19307 84598\n19555 60367\n36324 87799\n9694 70218\n84952 94570\n20618 62202\n38049 51068\n20703 31678\n56298 84500\n73633 86337\n38329 84701\n26641 65013\n59662 68782\n55661 73710\n23506 83902\n19988 69106\n12138 76179\n614 54511\n71012 80729\n17337 37952\n32026 69600\n38458 61368\n20254 94977\n30228 31768\n34352 43258\n49291 94022\n11111 99966\n44845 94914\n33078 67280\n59419 97652\n50942 71019\n29676 35668\n16912 63338\n7135 18314\n70830 98878\n69541 88627\n8943 20340\n43317 90369\n18596 39888\n33177 93663\n77783 86874\n80577 97148\n5493 56164\n73394 94835\n3274 47827\n46857 84202\n67293 77045\n28412 75504\n4244 76730\n69968 87132\n17074 76558\n50451 82888\n24063 50783\n9277 51796\n33530 70591\n64728 76365\n32905 63556\n12313 31598\n19337 30208\n18958 29810\n18224 63260\n29142 55252\n74019 80515\n28949 61738\n85140 98685\n61971 88744\n40999 93373\n15695 16749\n29278 32554\n3662 97413\n7374 56034\n22348 35299\n50513 57414\n21787 42579\n20423 23414\n78198 93002\n9524 14829\n21891 37347\n57755 96655\n23695 31377\n2892 40357\n52686 70988\n55228 68161\n719 30388\n84478 99272\n12816 66130\n46901 95736\n11986 91225\n64405 64874\n5086 30756\n21497 47780\n26670 65872\n56116 77782\n17411 91989\n16024 76864\n3848 58029\n5181 83556\n21621 53622\n9611 78405\n10601 71321\n55630 56015\n18659 92438\n5639 62897\n26161 79470\n74588 94298\n82314 93289\n7068 76163\n397 11161\n78943 94938\n23617 30387\n7436 86668\n69480 90263\n91614 95916\n2531 7096\n45212 77817\n21927 58236\n6834 57741\n30102 69411\n18572 70401\n50276 79396\n16151 78474\n38809 78530\n93029 97429\n47973 60491\n69343 73475\n67152 82424\n38875 72283\n10978 77716\n4134 20888\n40233 52030\n56889 99312\n50394 73143\n42018 90407\n12428 93102\n23083 89049\n41653 96334\n8600 99727\n15621 75109\n33039 68775\n13480 14532\n89350 94997\n84291 90448\n77027 95094\n5164 96079\n30303 89785\n4113 51165\n85995 90078\n47452 53443\n24346 36214\n23448 88736\n35422 57395\n26708 92834\n11414 91397\n40727 48064\n21427 99855\n39331 44113\n40326 56789\n56601 70369\n28526 65694\n27580 92152\n78666 94294\n25429 85562\n12531 63045\n9655 13459\n5787 76657\n8710 23887\n53645 66004\n44097 68290\n60439 75076\n4876 23091\n2464 32358\n62129 66702\n24702 50077\n62977 68476\n20009 78171\n9100 9813\n41151 95528\n177 3644\n78532 78555\n10880 65550\n35069 85600\n45811 72091\n28111 36556\n55635 68930\n29226 63928\n28171 29577\n60089 81494\n32685 99015\n78241 86968\n12327 84141\n2884 28423\n41308 60944\n47515 95914\n17757 40966\n14554 35249\n17193 99521\n60231 66858\n55699 69344\n47107 79797\n13254 83274\n71941 81900\n30384 59636\n9386 75734\n470 3498\n15542 77944\n15451 53875\n39188 97754\n30966 90701\n54520 86905\n35025 89613\n58179 64347\n35405 83245\n39093 96955\n9043 24677\n767 34331\n58225 72141\n28465 58014\n29477 37355\n31012 51886\n44678 67231\n87570 97440\n14202 76693\n27801 61008\n35263 76055\n22094 85668\n13307 37493\n49203 51880\n11296 89288\n26139 39659\n24798 96966\n39524 67609\n1556 75105\n67195 81764\n22916 46953\n42430 51055\n53008 72928\n55772 72679\n65226 97388\n9758 70361\n159 82642\n12350 38786\n59713 69386\n30891 45707\n39823 64098\n27198 57470\n22340 53183\n35968 85984\n36416 67339\n13268 22045\n60507 86132\n1566 96025\n212 68156\n15652 71235\n22333 91034\n6611 49426\n77851 90945\n43429 46734\n15129 93235\n809 56375\n26743 50836\n13998 47259\n16384 84271\n85100 97943\n9264 10156\n10033 29530\n13321 37207\n34715 97984\n27909 66345\n41703 92390\n33510 76334\n14506 45892\n31055 63862\n34898 99444\n14262 66614\n37974 64444\n17889 72196\n14686 27892\n1395 10583\n17438 49094\n86612 99882\n68361 82335\n10585 40425\n43935 98238\n24602 65263\n66083 88285\n46672 61460\n30455 62897\n63835 85065\n1550 92444\n64 35301\n891 38940\n44871 91939\n12533 54148\n13155 95709\n37640 39202\n61549 73034\n40366 56885\n15270 54325\n46195 82010\n43098 47429\n1888 46263\n70413 92677\n61726 90986\n31896 99615\n27219 43705\n46002 61479\n3931 64887\n29907 68935\n18010 83076\n28667 72845\n45264 89657\n28841 93931\n12101 87191\n13597 39803\n9206 38281\n3290 17946\n33034 44879\n21551 56100\n4449 48260\n3526 60751\n15983 23054\n13282 54503\n7189 47655\n949 55516\n25069 67632\n31416 63218\n9009 66570\n46301 76378\n17893 30279\n8431 22814\n96471 98121\n8874 17802\n86559 91250\n15851 31262\n14240 28670\n40857 44350\n15437 58140\n23241 73750\n32159 42302\n12539 67663\n57665 88365\n69900 99060\n14179 67724\n40159 42891\n40052 74466\n29682 49043\n2314 24523\n37219 72924\n6925 33860\n1424 97776\n11375 92317\n36081 99200\n26176 60798\n49143 53253\n3684 53162\n21689 78295\n33196 52529\n30843 78573\n5608 88108\n568 36482\n72807 90025\n14644 71423\n4714 35276\n90797 91418\n49544 89413\n42730 84727\n44499 88182\n30065 36508\n67187 78925\n46871 58657\n26536 90461\n10620 49054\n36905 45060\n59220 92310\n2101 36630\n72097 87518\n25698 65316\n10647 65469\n62652 94593\n75228 75675\n67389 89054\n29945 38116\n60501 66050\n14324 35806\n7681 71614\n32838 91999\n49589 77641\n17383 28411\n35555 94901\n12278 94170\n56796 64904\n53193 61236\n22502 42431\n988 46154\n19433 76550\n44514 91532\n39702 95658\n6263 81485\n56468 68593\n57083 59796\n59130 73452\n5957 99391\n14021 21205\n2467 30998\n38822 65097\n19658 51817\n66087 66946\n12213 68085\n73209 85666\n20741 31361\n4963 37879\n52599 87777\n25996 92046\n21803 93807\n33627 45349\n30062 36036\n55886 78828\n18943 70573\n96977 98828\n47822 92186\n12423 30723\n3599 53012\n12002 94317\n30524 57147\n4170 89787\n15451 54420\n30953 38450\n8602 39948\n17607 18560\n904 4490\n69846 88845\n3549 50851\n30455 31816\n23468 68119\n26641 67072\n72076 87578\n6236 39183\n29772 78802\n73903 81884\n1934 26915\n943 19894\n72570 97554\n48875 65595\n65219 95813\n38895 79549\n49116 70039\n1431 66456\n37965 70024\n86460 99318\n35528 37939\n1527 54544\n238 16206\n15951 45086\n72931 96345\n19364 64822\n73578 81719\n16503 53509\n8683 88019\n50962 52009\n51092 77278\n26732 73711\n81960 97301\n21522 23941\n32986 67527\n15689 43677\n65496 91759\n32168 71872\n5521 90855\n56171 89495\n58594 96032\n20120 26147\n23041 82126\n7547 42342\n53537 73285\n71261 79842\n59885 89141\n20904 29723\n41276 82371\n19092 75418\n13108 91549\n58199 97967\n52854 69824\n65192 83028\n4014 57694\n21296 48600\n19096 97888\n24728 54943\n34682 77532\n5084 72843\n6559 84271\n22480 38390\n3434 38053\n78706 94302\n22653 83853\n23634 49242\n4052 90547\n5483 53750\n45378 79430\n28100 52871\n26515 51573\n55650 56956\n33395 78708\n4878 72494\n3494 98460\n7072 94469\n48461 78242\n53141 66508\n861 27830\n67780 72116\n2365 28852\n18265 42636\n52403 87720\n10055 58546\n44324 56614\n43036 93541\n7187 66786\n61027 76239\n89129 89981\n1909 14081\n37022 51039\n16345 64178\n56449 99358\n44913 82071\n13821 65023\n41537 69300\n13884 84874\n37870 71433\n21067 97027\n8674 22809\n15803 60657\n80401 92667\n17364 37034\n8326 45016\n34312 70643\n1400 90282\n11349 44020\n74076 97512\n54161 79647\n35089 84450\n57271 96849\n7179 45341\n26630 44900\n5590 81110\n7540 78414\n25070 80969\n5935 61249\n38587 89015\n54525 96623\n53555 69767\n67213 86617\n32400 78724\n33976 85012\n42537 57810\n81767 90183\n76953 81056\n14180 87485\n62191 69642\n3401 66176\n26978 60468\n4234 87391\n42771 65969\n22187 55624\n2312 9120\n70755 82103\n57002 62764\n36066 68224\n48567 81632\n64258 91065\n30879 82447\n66019 77495\n4828 99835\n69423 70314\n74513 87767\n33780 84754\n5059 15740\n20464 20847\n9021 19395\n4908 53672\n12198 71649\n14684 23707\n32413 98476\n34598 82120\n53464 92894\n3123 29602\n66935 93973\n4887 44941\n21543 66493\n84719 94681\n9185 83761\n30263 55893\n78472 95257\n49034 68834\n18847 51835\n46992 51215\n28565 57779\n49147 65772\n6801 10646\n62075 97974\n34993 65058\n31105 71597\n70845 71211\n5767 25439\n60601 92166\n18267 45645\n24997 76916\n21989 56333\n17207 95636\n33604 36833\n42696 58905\n72436 98203\n12914 78483\n33589 78794\n17094 90640\n60970 62081\n14568 92110\n13375 52127\n47597 93447\n64203 75151\n72333 76801\n31536 54820\n13965 84051\n2678 91774\n56019 77632\n3794 80916\n43845 74753\n20198 37451\n24832 41913\n1661 92392\n11197 18459\n14960 65741\n65272 73458\n14066 46309\n89060 99566\n11559 80044\n29880 71490\n6421 71195\n31527 80940\n21760 28821\n87841 88121\n36820 64906\n2972 7819\n8095 47972\n90488 95201\n54554 86329\n75979 85581\n82536 99586\n52989 66945\n64169 74553\n45881 87166\n10273 70178\n8534 56425\n75042 81552\n3154 36994\n32670 90539\n12950 61348\n38102 64696\n75037 77204\n55213 72816\n3975 43797\n34116 37099\n13123 64208\n64150 70525\n35533 53299\n66363 97860\n25895 40492\n16110 23689\n19427 31227\n44357 47246\n52362 59869\n41941 45547\n35410 74654\n7570 85866\n6100 75913\n50859 64383\n36579 48432\n29788 91062\n84386 88340\n9796 97275\n66487 97286\n43315 46525\n13488 91013\n52747 57629\n81506 96162\n12255 96045\n59201 67593\n65802 80201\n46200 80041\n41683 47399\n53504 71330\n11450 27014\n76654 77125\n15666 26510\n64373 99411\n1334 92093\n20346 76264\n56525 69886\n29587 37679\n68139 72009\n7942 14857\n68201 81598\n38863 83693\n54068 77098\n22669 38311\n72607 82638\n83729 91654\n11976 13272\n3510 33405\n65980 94137\n11180 48127\n36248 41027\n48497 65488\n32052 48909\n5016 38220\n96057 96320\n12360 66567\n34346 40007\n28910 38530\n6583 56163\n3924 70509\n5836 33461\n24890 70116\n25312 83184\n62231 97932\n66388 96735\n15163 99375\n4325 90468\n12478 36162\n33187 69736\n52413 88547\n22757 40768\n56849 59231\n67399 96252\n8480 47418\n19551 45765\n11170 41204\n15840 27785\n13421 30153\n77162 94117\n49394 88275\n30700 50005\n2133 27758\n20818 36143\n3875 70472\n79996 93752\n15103 24522\n90549 97092\n27705 57822\n67724 82642\n50079 89279\n31685 88038\n36163 59690\n8264 68710\n24718 36803\n29711 31438\n58569 68868\n70168 83524\n19387 63858\n86847 97232\n24965 98481\n19399 96308\n7748 86146\n15086 33920\n32539 73949\n3252 79459\n12285 40009\n17090 44930\n27943 46385\n89530 91127\n85486 98223\n72624 90988\n3350 91919\n73221 74693\n836 9263\n16461 77892\n13459 74878\n42639 52997\n21863 64638\n38670 48942\n26904 52164\n50986 92700\n36131 96098\n11128 17749\n72231 73584\n34552 90151\n88849 90273\n53662 74649\n72487 87377\n62069 82719\n3035 58618\n42335 63837\n7303 48543\n22556 63754\n47588 61954\n54607 90265\n60242 80595\n455 27676\n11787 64915\n35859 51733\n50269 61600\n18680 65961\n50420 82293\n28853 67348\n35868 99328\n35302 71649\n23474 26511\n27411 29245\n85304 99154\n56211 91913\n69780 91637\n23377 91190\n14650 40916\n49431 93213\n69212 85623\n59970 60706\n67310 87414\n35243 56310\n47430 57295\n12419 78249\n73057 78453\n50142 59727\n39121 59845\n64564 88940\n42473 63737\n72337 92705\n2020 88964\n62286 94954\n57297 72831\n15834 76787\n14672 82318\n47787 63697\n22227 76753\n66865 74565\n15698 45310\n6335 47258\n30720 93104\n10142 75468\n28345 62662\n18476 50622\n3543 57082\n13247 28499\n60383 84633\n538 19346\n13425 35671\n6502 16153\n14193 35425\n7247 16597\n46476 54231\n25729 91431\n56153 80147\n64747 97711\n49084 80464\n71090 76088\n10660 29556\n12578 72642\n87684 96963\n5721 22161\n61740 97907\n43681 74553\n52955 65781\n14325 23829\n49805 59208\n18647 32722\n68595 90762\n63279 85185\n12609 68207\n6526 75415\n20288 41183\n42786 91557\n48203 48514\n18591 47312\n2882 25175\n12364 28060\n64584 91313\n52996 92112\n44280 51157\n66543 78071\n13233 83174\n21424 90385\n60942 63542\n2937 91618\n78391 99935\n4326 40279\n33963 42278\n38451 93042\n19926 54661\n1173 81258\n65945 70598\n22277 51192\n10533 25264\n37500 97008\n42518 82944\n10449 53723\n25529 41456\n53337 98524\n53939 71122\n7414 9908\n23752 59239\n63087 87354\n16952 31281\n8012 52264\n27534 73839\n63004 77304\n62863 91737\n45610 80028\n9693 75701\n26848 55760\n7298 25445\n12046 35788\n71963 72513\n29089 46559\n68042 92697\n4709 68484\n735 42466\n11722 93869\n31845 70008\n28056 44999\n23484 82388\n32170 92300\n17174 18020\n14282 47531\n50206 59442\n6076 92118\n60177 95463\n49531 78326\n38166 41547\n79580 81106\n6506 36401\n50746 59162\n43138 86878\n24933 41144\n15344 27026\n2930 24552\n3203 92377\n40747 60833\n36599 86282\n56917 96461\n6259 50122\n2076 66712\n36313 70731\n18005 53584\n19258 58240\n30083 66156\n34186 97108\n52994 94071\n22289 35807\n20553 71575\n80721 83255\n12901 42074\n9676 48058\n69230 73144\n3592 28168\n21520 47435\n4177 26354\n65345 89526\n4764 32149\n11179 90570\n25544 28177\n26292 61828\n55197 86713\n29722 33595\n38516 82450\n36604 62501\n1596 39554\n13524 23887\n34055 49606\n1154 30596\n11582 30610\n16303 49578\n17082 64575\n37592 53903\n11508 18860\n24110 44025\n82554 95361\n19833 79033\n7746 75592\n87444 92726\n14436 39221\n29919 74932\n71746 87818\n9310 57677\n34267 44407\n32331 96557\n7500 33423\n80363 94927\n33068 90279\n43640 55338\n87997 88771\n170 41114\n29103 46607\n33822 48546\n14036 73150\n34218 68923\n24926 69941\n18483 59433\n18832 24542\n7217 51629\n35560 42533\n52007 64413\n62856 84878\n69104 99948\n18855 57121\n61565 75315\n64706 76875\n8054 53366\n68574 82864\n49056 77631\n26525 43653\n5748 8313\n45298 53319\n22540 44724\n12701 35921\n46264 54409\n20495 63078\n2041 25410\n18890 29025\n7102 49107\n11213 87374\n17134 27004\n17704 48353\n42948 90991\n27607 50708\n10004 79879\n6162 78500\n72697 92388\n42258 52174\n7896 53749\n45948 93067\n6616 99338\n11539 21674\n56874 59305\n17945 81666\n61509 78837\n38749 76220\n38606 57713\n77852 82306\n32357 97894\n19655 75816\n28743 80906\n20841 94864\n29968 74052\n21062 43533\n53720 94223\n1831 86193\n8378 94817\n2681 99864\n10075 69223\n59668 85035\n44727 78635\n25561 74942\n36571 87368\n38076 52701\n33277 35869\n78685 81535\n4086 33147\n34400 39757\n12113 57510\n338 15682\n12535 48387\n10754 28120\n15917 72022\n20380 98575\n48720 88201\n52984 90250\n59832 77162\n2360 22433\n42315 42601\n50981 53740\n24830 72954\n50022 67634\n3024 53792\n21657 79662\n6518 7754\n88760 92732\n23138 61029\n32818 69145\n30303 85845\n35304 57105\n62135 85118\n1014 8735\n7574 48571\n2836 97809\n63773 97945\n62744 92879\n21234 84119\n39528 76969\n23219 33071\n34895 38090\n34137 80461\n59709 75596\n6898 17089\n60504 71017\n58464 62542\n24464 74086\n25145 38754\n44936 46267\n4161 11452\n1973 33714\n7451 59399\n71496 92569\n27878 93893\n66851 80152\n53454 80617\n28403 43689\n37558 47466\n26018 35927\n44161 55284\n5816 55268\n45688 81791\n61939 62955\n24385 89053\n41685 43000\n3938 79084\n17554 59027\n24982 52373\n5670 60825\n16206 30442\n75592 95390\n20165 94350\n5031 40980\n43688 83771\n11394 74235\n18100 99839\n16110 76865\n9021 97497\n12411 94657\n558 71145\n23597 61884\n7791 28770\n42513 76362\n2008 83291\n1350 56308\n16537 69475\n73296 96910\n8422 95778\n3247 34932\n12724 42806\n35652 90137\n6572 61895\n3471 62882\n18596 19991\n18535 88567\n9746 41571\n26781 50133\n65914 88365\n705 39910\n14304 64908\n33889 80073\n13224 91541\n13708 82022\n53328 83398\n26103 67460\n5846 51735\n51463 78515\n28894 72981\n13963 65251\n42270 88006\n44822 47054\n81689 96683\n13221 60789\n86425 96322\n13082 46986\n54057 97073\n15041 77018\n48996 82446\n47871 69799\n38043 96217\n25491 73001\n55111 78529\n22882 38797\n8118 12742\n26688 50129\n45165 93323\n54261 64262\n12332 76090\n21124 73177\n14517 44229\n3729 91915\n1703 19388\n84510 95018\n28926 68406\n53183 79885\n53537 71776\n834 20490\n31263 50800\n22109 39110\n27147 99798\n28265 96157\n58095 67262\n4018 9800\n922 52933\n7542 67178\n3405 67904\n24699 82532\n14597 27631\n13175 95300\n55652 71463\n3863 80186\n27380 88032\n51017 87739\n5193 32540\n13985 73049\n1690 25470\n16923 41752\n14991 35606\n7023 43898\n55398 76588\n19130 63363\n31119 38759\n9830 30320\n19664 43664\n32908 42052\n44880 46952\n37798 40759\n18268 84475\n38016 53427\n44477 88294\n40704 47116\n58348 77286\n17589 98016\n47015 95787\n24714 48175\n18032 31415\n3206 80633\n67546 88052\n7412 97369\n15715 24328\n31070 57650\n25963 86792\n50879 79487\n90284 97563\n31724 53670\n6086 62198\n18318 61727\n21569 30632\n38038 94491\n56874 59538\n27272 98427\n23533 76882\n74392 85649\n34996 84101\n38113 43316\n12410 26373\n14931 68498\n73364 82994\n52901 71792\n12634 81093\n15537 79827\n13061 62199\n63835 96480\n6891 13650\n28784 53567\n13211 13256\n20574 52058\n11084 13545\n61102 68729\n35729 52477\n23247 47192\n33731 57667\n3102 53826\n10799 71425\n63804 69048\n9874 51556\n40899 88174\n24729 80513\n65373 76957\n11496 83824\n13750 84907\n51688 71358\n50815 97784\n40911 48639\n52762 87353\n30102 60160\n52875 56975\n55313 57944\n19292 70760\n1073 29275\n14152 38750\n22175 76699\n2607 97942\n24290 60669\n31422 66521\n44515 80785\n13911 62133\n20308 25035\n16961 99298\n52873 55999\n2059 12668\n56981 72806\n58482 71650\n1512 44141\n52055 64208\n14050 63272\n85886 97744\n51489 75500\n713 19943\n34643 42737\n11752 65220\n70534 88119\n1764 46049\n25248 88138\n9990 39588\n30755 56070\n5194 75953\n36945 71268\n28596 58784\n22496 63762\n60477 71308\n38692 49013\n13314 50516\n30221 33688\n10465 65577\n21163 72151\n17587 26120\n34122 58602\n12344 98662\n14053 97720\n39530 95104\n57061 91339\n10671 81056\n6541 27454\n2367 50886\n19862 61041\n14418 69575\n16279 28596\n32015 65559\n3671 91306\n2750 30038\n66789 98461\n42994 57055\n32996 68966\n74893 93773\n12408 86489\n1937 41057\n64071 70389\n65979 69075\n28651 56719\n51953 67532\n6982 25532\n17162 38721\n5674 82217\n56107 68644\n28140 81596\n74823 89156\n878 67075\n13985 75380\n12089 13456\n21713 99100\n18179 98553\n80038 94577\n34744 95221\n16156 55166\n7255 54807\n22009 35756\n39837 42420\n54365 92382\n34869 55897\n22227 75573\n12512 36476\n41221 58622\n22590 63663\n24865 36472\n16649 98226\n30547 32705\n72836 76989\n54690 89320\n11943 86857\n25645 30103\n62557 68015\n57297 98927\n4679 61386\n4254 8862\n18700 93960\n80937 98993\n15467 19871\n3322 21650\n66033 84622\n1001 60206\n24 30750\n5991 32036\n44960 54387\n7845 45543\n21617 94969\n74283 94435\n8003 64702\n10216 90323\n12346 21354\n17174 84900\n39046 97962\n21085 61815\n32552 47579\n4453 35038\n78628 85268\n60908 89350\n40859 98426\n40750 88517\n8404 34234\n11498 75509\n23159 99196\n62538 94159\n7654 92283\n19707 52527\n40223 76095\n54370 70164\n17867 83882\n11954 30695\n80547 98421\n5019 17524\n12870 29571\n75050 76078\n9902 92517\n89738 98164\n78071 86216\n53931 78661\n34253 71236\n25891 92114\n2116 35160\n14780 50079\n63113 74293\n7075 63804\n20851 38786\n45877 97276\n10575 90975\n44559 67640\n23192 65719\n19431 49716\n2494 91665\n24932 40972\n3725 46215\n51574 78255\n70749 92717\n12450 79186\n2293 15149\n35706 99913\n28971 50215\n33488 63295\n48154 55062\n16466 60969\n22398 26478\n48534 93948\n44067 62287\n2774 9702\n13755 83314\n32900 94275\n15101 73892\n45017 72568\n28160 96745\n32510 62824\n2785 98828\n44315 68112\n15304 90708\n7463 70612\n70369 97054\n1174 99486\n4100 22383\n20547 42119\n33475 68630\n55599 89120\n33067 54222\n56982 91454\n76226 96724\n2673 60294\n61543 83255\n2433 59004\n39826 48937\n60940 73425\n61943 71219\n12595 14143\n25137 99330\n27952 41077\n16322 47711\n111 92058\n73212 83153\n83312 91086\n40862 79805\n8755 88928\n49403 56099\n8585 37968\n31400 34892\n6292 42544\n52107 94913\n12022 60154\n15057 82273\n2995 79132\n22133 64348\n21306 95531\n49299 60302\n57273 88074\n38044 59300\n28577 53983\n20726 34173\n2250 47697\n30280 34965\n37535 46835\n27949 44784\n21487 58142\n1508 51628\n41344 50936\n34408 54814\n11993 25726\n5555 69463\n18121 28983\n32977 53004\n30060 92529\n50597 75351\n77713 87095\n12965 32501\n4668 64345\n82293 89143\n24624 70866\n13422 38221\n23271 76205\n13850 31836\n20691 77346\n50591 94346\n42330 93222\n50764 89877\n47377 63722\n34370 66281\n21483 75456\n2150 16286\n12636 20209\n8893 64096\n42418 70474\n42847 88418\n16611 33640\n32835 42473\n74019 85658\n31541 41230\n35167 68779\n52437 94957\n40777 66170\n80323 85466\n30738 87335\n51571 57916\n31625 35029\n9649 78152\n35574 57959\n42836 97767\n36633 54160\n67622 96638\n12883 76755\n29960 32992\n24105 48460\n66673 85262\n86789 87623\n32100 51758\n6021 23048\n12108 24649\n17623 80766\n51019 62097\n982 7094\n73011 99002\n53889 81645\n6242 84624\n34454 84084\n58953 59793\n54971 87008\n38778 42554\n38693 39805\n46167 55475\n27713 65571\n14579 37592\n9408 16761\n30961 33953\n79852 82953\n9882 74659\n12040 47668\n60236 86111\n75070 86386\n8649 53920\n15795 28091\n5721 43512\n36604 38283\n18298 39169\n67917 75791\n2409 49108\n33948 88873\n46833 64620\n32924 79072\n64934 94481\n51857 95155\n19052 85174\n25673 99195\n55192 92498\n6026 59652\n14009 93251\n64363 79080\n8156 31706\n81749 93348\n35619 89247\n33502 58070\n63106 64809\n28416 95898\n18650 73931\n54816 72770\n14646 55586\n38529 55846\n20321 97095\n64232 95229\n20607 78682\n8854 51094\n27501 76145\n28270 39996\n15460 80753\n54530 94275\n18303 31108\n40284 49262\n25514 55480\n42011 68693\n38301 42452\n20799 28285\n41030 55973\n36976 76621\n25407 30945\n36651 77118\n11229 43124\n61840 81068\n33375 94678\n43144 60656\n8148 78718\n52362 87688\n76945 82851\n20405 91864\n70695 83938\n66612 93703\n21750 87877\n21646 97716\n44262 54349\n30851 72315\n15464 52526\n6732 46626\n3792 36765\n22576 76837\n81483 89008\n5326 67592\n7851 71234\n64456 70384\n16876 88867\n69159 83916\n10900 35302\n21783 32994\n76758 88827\n66329 96750\n5122 89580\n15749 54171\n47457 52318\n75184 76668\n64137 99045\n19321 56284\n32505 53498\n20874 84164\n49890 79641\n28556 49286\n4138 47472\n9799 54986\n22733 68239\n48605 75364\n13556 25611\n45150 76728\n7760 9609\n19251 45105\n37130 73045\n47609 89555\n78658 80500\n48298 99575\n91880 98375\n1150 25861\n70811 74107\n11212 91714\n10670 34982\n34248 82352\n8611 76683\n47200 62651\n65141 80213\n7676 37384\n12124 65420\n39507 80001\n1079 16345\n14664 84326\n53506 67840\n87987 90544\n76896 77537\n22415 66958\n70212 71478\n38229 65158\n62715 66990\n28243 59860\n42939 60799\n24654 34016\n10021 29605\n49469 96252\n68634 76758\n2225 33230\n47542 67248\n21018 50481\n57124 70942\n92894 94034\n19639 81605\n50373 94693\n19218 40759\n3114 8568\n9294 13860\n33350 72507\n57280 71993\n50680 85201\n81586 98161\n57595 84053\n67791 70443\n21863 31489\n60070 69489\n39114 67713\n37055 95283\n36397 52481\n2613 63107\n10841 53617\n1826 48797\n12817 93605\n33160 54913\n23581 67688\n15666 52588\n76423 99883\n27160 32897\n65665 71052\n32755 64614\n66623 88884\n55149 64932\n9902 43856\n10831 77452\n36403 71174\n11123 19292\n24137 95908\n8748 27178\n45445 61682\n1532 26642\n49707 92444\n36118 90416\n965 21154\n60739 61852\n32013 53235\n10374 36100\n48183 59748\n20496 26417\n87651 99377\n12464 51060\n26949 35328\n18216 92824\n68953 88379\n22905 75099\n6464 8293\n7476 38580\n13317 86550\n29369 83118\n4626 54350\n29024 56464\n60177 84558\n6538 76736\n30017 32164\n66560 93631\n34447 94891\n38767 76466\n54305 96096\n16693 93756\n344 68960\n2708 52168\n6475 12017\n64403 87641\n25595 76352\n55226 74080\n49610 50293\n46810 93649\n65435 86666\n3801 12173\n67444 91341\n26250 84764\n13982 78396\n10329 94521\n35816 94708\n17155 51571\n53631 74101\n48601 79026\n6357 77671\n38288 62554\n43146 88899\n14965 39589\n28261 39754\n38091 48720\n13630 39650\n13490 41382\n30380 44196\n60746 65206\n133 36140\n69606 73710\n44723 82773\n68849 93199\n15315 78923\n18297 40772\n11565 95718\n27986 68429\n53137 99240\n10111 25053\n60641 77413\n53068 87066\n41959 60745\n1045 74206\n20959 42885\n56122 96467\n21802 71853\n5832 17447\n42150 66466\n1910 43982\n72415 87852\n56370 67989\n22964 25455\n6040 25283\n19818 80102\n2414 46157\n32311 46839\n25149 93990\n12965 59315\n9284 90712\n35580 46236\n16513 34836\n17012 52794\n64562 98711\n2723 75577\n9315 54721\n20216 37928\n44975 58377\n27069 46542\n14702 69666\n9150 77607\n25148 56314\n19110 29065\n56105 75207\n29746 71552\n91680 99688\n13883 64563\n67478 95045\n29200 94209\n73015 77985\n19456 80278\n9856 85952\n68187 95169\n62846 78659\n18870 89125\n85764 89959\n80291 95120\n12754 91085\n5368 60255\n31758 56382\n84531 86984\n23165 79457\n46076 92135\n38674 64677\n69715 83842\n51833 78497\n45558 48243\n4717 15046\n3906 51642\n74041 76020\n6200 95913\n32955 93607\n11040 93430\n8749 46004\n23641 64792\n15406 69045\n55981 64371\n25135 96931\n53177 98947\n19227 93321\n80072 93847\n15072 29433\n5120 33921\n33524 39708\n28830 46725\n5424 72738\n80823 82253\n70043 73714\n23622 98049\n62769 95422\n39529 51651\n71473 87650\n58752 64139\n53841 85316\n39394 39911\n1912 48001\n32504 44754\n60398 70090\n28833 86726\n60272 87133\n12691 20683\n39622 41959\n5641 23936\n10109 19513\n236 8052\n84907 87119\n50938 63382\n80256 81779\n57073 63095\n91542 94883\n45497 68219\n15269 78308\n30418 43576\n56802 92252\n66052 95873\n9293 77666\n48562 70645\n57537 91979\n2140 61363\n7088 58762\n32938 90360\n19118 23188\n48689 87769\n91762 98390\n12772 77454\n31072 47752\n12415 95285\n7567 78064\n76361 77216\n8879 79717\n35382 47284\n24241 28728\n50534 65685\n53020 77635\n49067 94665\n13640 26896\n115 45156\n39266 47620\n11322 51265\n5796 99358\n51451 83267\n56575 68164\n26284 26813\n43764 57955\n32919 73988\n15623 69886\n57195 96722\n18465 92026\n84475 97864\n9345 56590\n6813 26447\n36312 78557\n7638 19138\n14343 58535\n17137 75405\n27918 42987\n85428 90562\n59379 88763\n36444 73890\n33682 37624\n5460 78656\n65019 89759\n11797 35253\n424 66306\n11228 81437\n44997 89023\n29362 33777\n13784 39752\n43595 74168\n53901 75007\n53917 84687\n14669 70425\n4901 85236\n19966 31864\n382 68785\n15038 63192\n30194 93044\n23714 25101\n52646 83157\n1332 42039\n56002 63529\n1643 24527\n55439 99615\n23870 91569\n37508 64722\n5361 15341\n18803 46748\n53746 70350\n9429 64053\n77042 81706\n14277 84331\n44166 72976\n74867 99335\n754 24486\n6859 27376\n27596 85812\n16056 56500\n43888 45302\n70745 94458\n79126 98477\n41683 61636\n34636 58882\n83808 85616\n4525 53316\n16487 97675\n61422 98699\n59752 94335\n1193 34590\n31946 64971\n9274 57631\n16476 39305\n19490 26373\n13206 55392\n21889 60864\n39047 68946\n66186 92194\n12437 28409\n39801 96475\n10928 41922\n11458 82376\n1386 48517\n79834 92947\n13518 74316\n28599 38832\n8488 47807\n27779 64915\n35992 59011\n825 8166\n56209 81685\n1628 93761\n58740 62618\n47993 85646\n46965 57669\n5827 57504\n31796 97684\n27117 82077\n45673 60277\n14919 81989\n38175 53214\n32973 99444\n74412 97745\n49821 82898\n2433 83829\n11709 77579\n222 44377\n10682 61736\n4819 77809\n75788 99794\n51804 93811\n66609 85112\n16535 28779\n11812 95086\n69886 80025\n4971 92195\n50656 94913\n82645 82920\n20746 68070\n19734 24411\n25769 32299\n73700 89933\n57426 90479\n22475 57144\n68176 95177\n17169 28034\n9135 23035\n5080 6507\n23841 37815\n67056 77650\n48556 58407\n25733 89995\n51724 73706\n67600 84755\n59455 68806\n10938 71450\n43574 63034\n11418 83213\n33950 82754\n30802 95379\n26612 28670\n29192 94043\n11696 18817\n6806 69056\n27332 98967\n63712 91823\n34603 53548\n9275 36842\n12235 93405\n18024 65410\n29065 76142\n56897 71588\n15592 78633\n3582 29519\n20837 50731\n55657 97770\n40938 67262\n87257 98009\n69641 70357\n60733 71667\n11363 66133\n25496 32118\n16618 98630\n17199 72999\n1480 13305\n11980 49287\n8835 44097\n43630 61572\n14834 61123\n18359 49980\n31018 80031\n61701 75546\n13202 94608\n3374 67845\n2509 8897\n70158 75599\n20850 96282\n1780 66969\n22839 82138\n10548 74261\n45957 79063\n15620 71423\n68336 75391\n25249 25417\n30364 66020\n28743 88382\n1242 95930\n53327 62299\n49154 73619\n30187 95896\n17880 61639\n2832 22374\n29056 38504\n17055 52089\n58834 87179\n43354 99641\n4383 19024\n70948 91884\n56788 89830\n23586 75884\n70949 97833\n44150 98506\n14125 21150\n43610 79910\n17216 70712\n57833 84974\n62765 65665\n63841 85786\n35130 40684\n4120 73679\n74182 94130\n23292 36106\n13017 40885\n45276 99357\n18723 68720\n18194 53341\n58419 84383\n15476 38629\n47106 99563\n48374 62278\n24083 78345\n34824 97336\n41312 77285\n58930 99291\n35482 75237\n4893 97751\n51720 70181\n22760 24322\n12025 74207\n9671 89230\n10815 70091\n20059 37595\n38546 75558\n61080 70328\n97135 98624\n16267 70620\n2991 31108\n40478 56504\n61364 67616\n11484 79881\n34057 97952\n13720 76784\n21430 60591\n11301 33595\n10771 77607\n4084 72825\n63059 88198\n72572 79822\n9998 94622\n22167 70337\n27521 57672\n15488 77011\n56622 58184\n47561 68052\n48871 55818\n45619 53141\n12937 89848\n11605 50111\n56481 86167\n55074 72818\n41444 59141\n72709 73862\n2730 4141\n7026 91528\n24078 97703\n20455 34688\n16158 48765\n6531 51652\n16592 71184\n90607 99429\n90505 96192\n31838 89824\n14738 69786\n34231 90305\n28567 29791\n2130 33775\n13342 88022\n37580 47282\n51753 88069\n65366 72002\n86209 95548\n52768 65064\n72535 86254\n52097 89084\n5675 50888\n19821 75804\n52745 74032\n38592 99439\n42990 73760\n53698 62158\n7415 44545\n37251 48186\n8375 98059\n8322 26259\n71474 89178\n67317 77938\n30476 39999\n5923 57415\n30914 94049\n21073 83525\n47539 85445\n77958 95354\n43662 82153\n12921 19740\n2232 92598\n30758 38069\n30577 97324\n35015 43001\n30702 40699\n26075 92159\n23397 36157\n11876 98909\n68357 78067\n82237 87457\n67176 85701\n29081 35921\n15001 49083\n30083 43145\n43427 95166\n6797 89528\n1787 28210\n20898 32975\n69780 99926\n49738 61176\n39233 95673\n47913 70942\n18023 50505\n26437 60814\n29490 43496\n6716 24144\n39161 88291\n44787 48359\n42069 81747\n354 91452\n42943 88225\n57414 86786\n25158 97982\n87937 97123\n10149 99686\n31244 81055\n35167 37971\n3750 87816\n22306 52108\n37930 65446\n21683 83922\n54534 57044\n13810 45265\n85362 95507\n61746 81097\n17796 88317\n74299 85183\n32403 39756\n28545 68410\n150 5711\n34046 46436\n56417 68206\n368 76175\n16952 73291\n13387 76088\n45828 59692\n39447 93834\n14054 59331\n88387 93144\n72736 77509\n58643 94048\n43669 52128\n37217 87963\n22587 27806\n79927 89353\n55485 89423\n17882 57635\n6010 13715\n55537 92911\n79598 80742\n6001 69789\n43701 87470\n35450 70581\n9270 27325\n15625 24657\n20984 56139\n89841 98362\n50271 55205\n607 23437\n54488 57526\n49560 53529\n68481 79714\n9242 68612\n969 75449\n18423 98895\n35826 85756\n47673 84033\n15760 21212\n33343 87454\n46465 94087\n85236 88258\n70255 90091\n41264 59993\n91029 99927\n28399 96662\n32670 71985\n3085 69489\n54279 64090\n832 30103\n46738 85240\n55910 62383\n19315 40742\n56069 89286\n93452 97634\n41917 79329\n21284 41197\n34968 51765\n70252 83611\n9268 46899\n55533 63483\n6224 59219\n32430 91020\n76683 95679\n36362 38919\n72552 82707\n71073 88881\n84234 90642\n1033 27602\n17689 55555\n32944 66616\n25438 56335\n50935 75644\n36746 77836\n9155 38884\n34427 39553\n7730 44738\n57726 91262\n62939 92785\n53970 77530\n32104 38086\n4678 76985\n9569 68860\n14048 53623\n16859 81520\n22180 65874\n27856 69223\n25934 77577\n12091 23125\n12144 39213\n41615 80370\n21981 75538\n35786 72479\n27465 29213\n25005 57725\n58382 84455\n11198 70212\n7615 32460\n6094 23659\n94110 95290\n62762 64113\n9166 37499\n40321 99402\n83359 96088\n12509 70367\n49438 64324\n44109 73607\n9106 94316\n7254 83941\n23435 81828\n42432 79597\n57328 85254\n19169 56215\n15649 99856\n13159 67479\n31085 94651\n60984 78173\n5910 63131\n16623 92040\n22279 69889\n10265 39932\n65192 85182\n41731 60718\n6050 20766\n12252 96129\n31911 33075\n12855 44123\n30871 35724\n47127 75075\n51415 90688\n17951 98722\n26179 75238\n1706 29936\n40480 88762\n26180 80298\n9198 61893\n33015 92924\n7123 81373\n63677 78423\n2378 16045\n36813 80695\n28139 45136\n43417 53646\n82226 85100\n8977 77926\n25554 67770\n11861 36011\n70719 74459\n12311 15429\n63891 86307\n25765 82941\n63368 91283\n66569 87212\n18794 66586\n62730 70628\n37432 38366\n20877 27641\n68555 96900\n32307 57824\n37707 78208\n49709 92418\n88742 90184\n79580 86716\n50161 90070\n54594 60794\n13103 77758\n12500 38067\n18005 34045\n42454 93144\n29601 77460\n4119 80240\n92996 93346\n73207 75845\n79701 84365\n1324 2089\n69739 89081\n58798 98336\n8198 30450\n54830 87612\n22860 84340\n4755 41733\n60955 63121\n27428 91332\n39093 66353\n9777 46622\n8978 12116\n14314 20981\n38785 78374\n45663 94409\n68678 71530\n45079 55576\n28449 93231\n47369 99467\n50292 70725\n15062 16040\n28456 39730\n47160 94608\n68902 70316\n15649 79177\n5237 88347\n67044 99688\n95536 98742\n25653 41024\n72462 73478\n31458 61037\n51857 61302\n37992 67663\n28904 69165\n18286 71600\n41714 81849\n62555 82857\n18963 82309\n36009 46533\n53268 64000\n52846 87843\n2282 77114\n26227 86235\n3764 99591\n64161 84244\n39505 57237\n16427 80828\n38429 64643\n31208 42851\n44875 75587\n43780 58428\n20171 65336\n635 44569\n10036 54766\n48955 52453\n36015 69613\n32559 75221\n59519 85378\n72384 83839\n43257 72959\n49303 81348\n35167 89363\n2291 40560\n26281 38630\n23931 76674\n48015 50299\n7561 22402\n25909 38099\n45631 97263\n44510 56163\n342 66464\n80717 81001\n29044 36432\n51258 56773\n9175 33828\n64329 96409\n18219 44458\n21336 42578\n52325 82055\n64282 95449\n47644 85805\n3088 48897\n35670 94401\n34034 40831\n15356 48583\n18704 82148\n45762 86614\n75427 79536\n53345 65487\n37667 60020\n78258 82127\n83402 96643\n1742 4083\n9412 16016\n94498 94562\n51064 55144\n1063 35044\n29009 71480\n50289 73668\n27830 28219\n9911 70691\n49103 71203\n31054 77666\n9650 53106\n34760 74745\n8542 93132\n91866 92640\n10543 60776\n30030 68758\n63566 65835\n23672 43066\n30029 30745\n7373 89036\n38436 53300\n39239 46095\n49494 93596\n27891 49312\n31975 88271\n94297 99337\n25840 64233\n60184 84097\n7141 70618\n7218 39751\n24598 51120\n82679 88428\n32941 40921\n29037 51298\n15792 57729\n19050 67708\n16892 36165\n13301 44735\n28593 96472\n34538 60314\n2715 48363\n46957 48471\n4881 45227\n3973 73728\n75637 88627\n4205 59842\n5897 38818\n691 92858\n86788 98005\n66231 88240\n74425 83208\n4634 53645\n21499 31890\n46837 47987\n43338 97745\n39988 61798\n48651 49101\n32838 34329\n5377 75571\n51550 90334\n61373 74543\n23864 98443\n53991 98684\n60749 75600\n16499 60017\n25635 96609\n15772 42301\n50588 73333\n4963 73888\n34123 85933\n5368 16272\n1577 63386\n81757 95032\n54249 98125\n12601 76907\n55197 91193\n95979 99621\n3875 4346\n18579 48777\n604 24677\n7659 41874\n28136 68303\n8798 71311\n2128 68619\n27014 52168\n60652 70122\n29545 58057\n21551 38994\n13499 96016\n5139 54877\n46863 52096\n4305 85472\n64828 68327\n31063 32419\n9305 76697\n23231 88942\n6073 48647\n70834 75497\n48195 72516\n32171 54503\n19567 64282\n10754 36650\n28199 38837\n54691 62766\n74505 95848\n17953 30981\n73358 84134\n24261 52715\n50820 77288\n4589 55571\n41008 96705\n20138 63569\n75888 92967\n4270 59790\n29048 59955\n6836 56040\n4667 48883\n33212 91958\n6746 37936\n10447 48081\n52250 87033\n29819 44553\n95399 96554\n33558 94864\n68520 95907\n65047 78210\n78626 80239\n19483 42810\n5368 53591\n49359 81375\n39334 44225\n60008 86332\n17289 23726\n25915 62405\n77889 84178\n9318 73466\n24542 64381\n32265 48558\n7887 76792\n15934 74451\n17960 31494\n46694 70966\n22629 43073\n20962 97224\n37157 38604\n33434 76242\n28743 62894\n9637 44803\n6290 75264\n66647 82014\n81982 82014\n26859 66516\n23080 26483\n35745 79492\n68957 75148\n21044 80227\n12877 68232\n25435 84582\n59573 64342\n18747 39619\n61714 69266\n8469 55764\n4840 77795\n37523 91048\n46812 85503\n36563 64554\n11664 93852\n13986 84940\n69608 83217\n28594 57795\n5823 39701\n87947 97441\n37845 68845\n29112 50743\n33519 62970\n25314 97521\n11047 93982\n3584 68273\n11530 59812\n9979 72951\n8195 37474\n22700 78421\n27066 49756\n33411 63505\n31898 70603\n66681 99903\n6945 18882\n46471 77659\n4963 39781\n22639 68348\n49209 66582\n46731 88037\n31844 71474\n7896 84876\n23723 73848\n47756 72628\n14099 20951\n17981 18581\n2711 5007\n14972 81351\n14916 64994\n11432 82936\n17398 57064\n2375 60964\n38260 99345\n41320 56259\n58471 60495\n13186 15768\n436 51873\n46147 60572\n37866 40917\n6738 60071\n35280 91288\n39206 80424\n54932 83288\n84942 98563\n9769 82050\n74803 94276\n19730 72104\n42119 90631\n11787 18057\n16285 30549\n4709 80864\n25489 57402\n41285 66725\n33803 92217\n4109 44396\n72341 80049\n59292 77171\n36017 88271\n31994 91242\n61207 93461\n51278 65022\n9218 63584\n8871 9336\n37395 83578\n57538 76299\n41036 85205\n51619 94025\n29897 36788\n39267 43647\n21121 51202\n7999 12063\n43939 54819\n373 42509\n59913 67490\n59496 76839\n31555 96962\n57928 89596\n68343 85865\n16656 42531\n295 99441\n9343 26768\n31556 80890\n3598 56471\n22630 85256\n30725 45200\n38531 64202\n42662 69356\n14178 21268\n27155 36827\n12980 35655\n42772 55741\n21678 56477\n44927 59223\n7676 69390\n49667 51936\n16939 34646\n53443 69002\n4 9955\n40906 59032\n36141 91198\n62287 79183\n5116 90119\n67780 72972\n12658 54182\n32456 68702\n7513 41037\n1838 72549\n49985 65348\n67547 80349\n13904 26333\n9939 56174\n55096 80155\n34517 51054\n4958 42289\n47289 59506\n10554 85714\n7279 86004\n41234 74542\n3829 35367\n19130 66730\n56916 82132\n51462 64460\n28966 84355\n8007 85594\n3085 49039\n24740 94728\n23445 98388\n6750 80566\n42048 47142\n43958 51710\n6661 9811\n86639 92718\n38509 84189\n10788 49030\n14054 38045\n52508 65327\n9224 76412\n89010 99733\n3509 57435\n795 41957\n13817 65387\n14259 56435\n35080 35871\n61554 62434\n7361 15222\n25975 90054\n49348 66756\n37755 72076\n4645 55127\n3438 89598\n41128 68628\n10302 48801\n31518 66072\n5471 44225\n32571 40770\n19423 35568\n65081 75138\n9539 87067\n9949 98880\n43058 50910\n49969 61956\n23976 87093\n48613 76292\n6443 90020\n27886 71526\n59424 66415\n96040 96368\n2382 34467\n13552 79640\n3433 94204\n3641 22859\n20675 47899\n61144 65202\n10782 12934\n17142 70529\n40339 94054\n42678 49435\n45542 67232\n9443 39298\n58122 71815\n7445 69879\n24537 26878\n57000 92021\n36070 91338\n91101 98895\n38641 96830\n6576 73612\n11708 37277\n22225 94044\n57013 62453\n11440 80781\n14736 30137\n24187 69454\n11174 21283\n15323 66280\n8710 32315\n13681 69012\n77899 87215\n46319 87434\n4347 50118\n71473 76272\n49808 86769\n21769 39573\n25993 70302\n13995 40263\n16301 16501\n32168 38634\n5198 27394\n6895 89522\n31959 59784\n58478 74201\n14421 64502\n39970 76935\n4230 49677\n20992 92387\n13607 62021\n71274 71485\n52620 88337\n39296 75230\n3103 37918\n58649 89216\n65178 96850\n1671 68308\n6609 24035\n67833 91098\n63758 91736\n17654 40385\n15260 22482\n36467 69089\n51131 82469\n45848 57563\n87468 97615\n55686 59937\n56133 92871\n5448 44413\n21501 90587\n68958 75774\n27729 65111\n1637 9802\n81771 97730\n5632 41639\n13583 24913\n35540 76024\n56828 84425\n85332 90345\n11630 94488\n11286 69880\n7836 75726\n22922 63169\n39434 99371\n58502 80242\n24026 93530\n67643 97861\n39486 60403\n15393 32386\n24398 34270\n12681 51332\n18190 42012\n6486 69652\n48364 59500\n32980 79682\n38560 46237\n3638 64392\n1365 85002\n67698 68275\n3904 77170\n37045 61175\n53080 69070\n13804 27697\n31145 90252\n68157 93359\n9191 32071\n9491 69506\n4058 28110\n4582 33316\n68242 70610\n9789 76204\n6041 72672\n18988 57273\n42992 66999\n42820 57362\n15233 89155\n16207 84869\n52113 53004\n48783 92633\n43404 54800\n49009 79093\n2788 82380\n71279 76418\n78797 89001\n48515 49235\n24978 92053\n48737 66198\n55499 77521\n8573 74804\n39419 61301\n89596 95346\n14668 18436\n30454 98222\n62320 80587\n7546 79714\n12473 70046\n55330 58614\n40597 75727\n37630 88669\n88321 93515\n25451 42645\n50525 99517\n4716 64835\n3622 81720\n84739 95543\n59456 93965\n18043 19252\n71902 72584\n14268 23358\n86244 96163\n1223 42569\n30204 44543\n12237 33407\n10821 80344\n15240 78849\n67996 92524\n303 70053\n53178 74757\n54493 58918\n24658 53548\n40091 68620\n34646 98481\n1294 14932\n73016 90134\n45001 50636\n49520 78790\n42472 45344\n640 62633\n39087 96679\n88527 98187\n14880 61559\n47908 77734\n22567 52456\n10377 58695\n7389 13838\n14045 58738\n33272 67897\n17077 48097\n27862 89998\n1018 87013\n43118 66807\n16662 31156\n51548 67643\n69087 94325\n38782 85750\n68623 96638\n34209 52882\n13758 98571\n6867 83927\n6030 96680\n40964 66626\n81246 99486\n26496 32080\n33113 92822\n31861 70224\n52671 82805\n13425 81383\n6663 13488\n79940 80326\n51784 55102\n32030 53592\n21850 29295\n5568 51133\n9514 98606\n21687 35676\n24038 54640\n37851 42000\n30308 36053\n25381 28819\n78852 94526\n18924 80829\n32099 60309\n52065 98105\n30136 51714\n32033 80653\n80753 93805\n8585 70292\n35320 94463\n54364 90891\n63402 81590\n28437 47956\n29424 44778\n239 16988\n6810 42934\n35276 44258\n45852 71371\n44606 87833\n64539 95268\n53988 72995\n31393 69150\n56889 86271\n44463 60226\n17588 21474\n12803 82942\n51166 77701\n66536 73770\n36906 96086\n37649 63028\n6700 31136\n23230 65622\n501 64637\n11787 42006\n29730 30928\n74098 93260\n2661 90686\n4277 83444\n33204 55299\n81722 89654\n28603 32932\n1099 20223\n15296 83602\n10269 80259\n13470 29932\n33351 66981\n82070 83499\n8877 40720\n11640 67121\n13932 80775\n12003 76799\n45040 82550\n41361 77844\n7835 14676\n51353 63475\n41538 99350\n38968 55797\n77916 80413\n61447 81235\n30875 51392\n13520 42937\n19103 87339\n54065 55803\n43080 50889\n62164 93316\n5661 52457\n7819 75059\n78771 93222\n4439 48946\n17630 45368\n40570 44064\n22330 74177\n60038 75342\n25091 60721\n32754 40865\n12618 37711\n57454 88128\n87707 95082\n17586 91737\n43093 76257\n76347 97048\n418 14762\n25773 71646\n6254 50702\n31524 37007\n23059 40170\n15938 51329\n30859 66938\n12190 92271\n24990 46948\n58475 63856\n27579 65536\n1901 86037\n19807 27694\n23908 59971\n8017 40552\n51536 80292\n12205 60796\n22990 37360\n64090 98346\n10528 57751\n45313 84536\n87018 87620\n79313 85781\n13153 49868\n7090 63409\n64559 71432\n13463 29568\n40908 89403\n92371 95814\n61276 86751\n26420 67500\n48209 57998\n14367 53122\n72906 86289\n36808 47099\n23306 26297\n14342 86013\n35558 57754\n10747 47233\n29237 83810\n12764 52721\n81402 83214\n34312 82881\n19028 62106\n25901 85295\n72305 98212\n37956 90189\n61722 86361\n26692 85751\n50125 73305\n32140 72142\n10920 91034\n68461 75528\n56916 84392\n12062 48117\n55545 78342\n24673 60848\n778 61825\n65505 78658\n44222 53521\n60525 94134\n12738 56110\n2971 94242\n2909 72627\n544 49206\n41486 56528\n41027 85022\n57639 60544\n14251 49485\n27171 58827\n21879 94550\n53710 97413\n51025 99574\n32177 75142\n38156 93807\n51831 60760\n89491 97508\n56524 67394\n61619 96537\n98388 98575\n2796 31212\n69397 79900\n76554 83912\n46905 50319\n1015 67101\n20850 45159\n70271 80830\n64043 88581\n19637 25778\n31425 94630\n1705 51777\n5561 91596\n63062 78139\n27597 96753\n24927 38175\n49388 56698\n36643 67864\n55468 60460\n11372 89266\n48408 79586\n34682 90723\n23899 70214\n25303 62104\n63542 68793\n2580 10824\n45703 63321\n44540 52821\n9374 34505\n73628 80818\n21570 30890\n16859 88701\n27125 61483\n6322 50208\n11808 91596\n22780 54221\n68471 86954\n14144 40319\n69940 93539\n5971 76078\n3299 66347\n9156 88918\n13665 60704\n20328 87943\n20409 68893\n14334 25556\n14796 82432\n36280 78965\n84612 88030\n6343 11050\n63270 92621\n17244 90453\n13943 47139\n16612 18045\n868 48524\n81459 83994\n28094 74378\n57480 90046\n28891 39620\n4222 51104\n48096 86809\n41162 88463\n23677 77858\n19465 74919\n13457 99967\n55977 73771\n18254 47327\n44333 63590\n82283 85586\n16868 40603\n14133 21501\n45366 94005\n50806 79691\n26516 40233\n30750 95030\n28560 75819\n63842 93562\n293 72229\n84001 97790\n22278 57773\n8755 64166\n41634 52398\n79918 86348\n5812 80167\n38839 74038\n76997 94501\n28161 79963\n4923 23825\n85068 92055\n4145 35802\n72851 92408\n102 45902\n9587 22256\n78758 81220\n1538 12871\n6909 42254\n30013 43567\n42380 55375\n2213 64673\n63206 85616\n20725 58462\n77255 99248\n89831 93370\n6584 61947\n38383 41243\n319 63322\n12491 16023\n51212 91362\n13906 95344\n49816 80722\n80720 87271\n728 97151\n35792 36647\n4362 71531\n8726 9349\n7710 98532\n10376 74722\n52287 53753\n8443 80145\n24766 49727\n13276 89206\n80258 88690\n7060 72518\n17447 42137\n14850 55498\n64396 93434\n77102 85471\n29899 50094\n76630 79511\n52924 55499\n32847 42871\n55029 73285\n49828 73576\n60430 99473\n80901 87686\n4455 12720\n45563 56605\n48657 49227\n9523 78084\n39744 41934\n45897 61835\n85727 90233\n73962 87843\n54357 61942\n25913 40641\n38872 85835\n25025 97687\n14109 92811\n44245 82208\n11414 79064\n16980 50541\n63873 70095\n38538 75030\n36926 86219\n10057 83607\n52111 60629\n19272 71287\n67614 74181\n30133 41682\n49798 49850\n83136 99657\n9432 44850\n1720 17199\n13942 65722\n67151 80541\n39972 40687\n14940 75731\n48090 57878\n35674 55969\n4481 19063\n44046 75207\n52728 94943\n87233 96808\n53258 71217\n29477 41746\n12249 51210\n41952 66360\n77697 93538\n30191 35862\n36034 87274\n4826 45437\n70789 85064\n19728 40979\n15402 21993\n17139 48328\n1470 81041\n3673 65330\n31642 63895\n24070 28240\n59540 75767\n43857 58735\n5857 46448\n28149 50538\n61253 67820\n46018 60381\n49526 79763\n20480 44032\n85999 92295\n64672 92216\n9890 64517\n71055 77736\n55073 82904\n36018 61538\n24105 33348\n47548 70028\n9911 74256\n32 2306\n1514 32189\n821 79186\n6431 75023\n26250 94443\n81841 81870\n64277 96696\n56979 71983\n65102 69815\n30694 86658\n83897 95006\n16700 51958\n20311 46201\n987 36680\n36520 86500\n71656 74778\n53637 90148\n13782 70312\n18759 80782\n12541 82339\n11614 53332\n68469 87843\n51569 93474\n51807 54435\n16147 36462\n31267 49347\n87689 91502\n21966 22190\n45082 53524\n500 71277\n59333 77769\n51632 54036\n78279 95274\n1682 71020\n6437 93137\n2301 61707\n4432 42080\n24451 70901\n63219 72563\n13685 50071\n15133 49538\n90746 95236\n24833 51462\n31845 91175\n45257 84396\n18873 94075\n18280 56985\n18248 18533\n68524 78144\n20543 43777\n17849 56222\n24202 61392\n13541 55584\n15690 62222\n31035 74385\n66579 93341\n68565 89801\n30206 42843\n37218 68249\n10925 56467\n40411 49656\n36773 57510\n21243 78243\n38818 61642\n4568 43044\n7149 90973\n16374 85553\n14145 35423\n29398 81723\n10073 63512\n78132 83386\n17264 50469\n38811 98011\n29716 57403\n16003 82488\n27663 72246\n75064 93976\n12757 73731\n7819 17412\n5657 71186\n77302 98315\n2260 26642\n67354 73598\n59349 69755\n3465 46437\n53333 90870\n22051 41384\n35157 37753\n62244 66233\n18160 22969\n20327 37093\n9599 13952\n43139 95172\n28947 46109\n54328 85585\n45422 73037\n3738 20792\n83807 84754\n25782 80444\n24501 42734\n42476 70682\n37940 56662\n3753 71012\n64658 74220\n47725 91194\n37715 45058\n633 77075\n54465 98493\n10728 73520\n30888 99258\n53890 96161\n76426 79814\n46683 85920\n3156 49685\n33701 77821\n55825 89800\n29892 46724\n24241 39109\n44958 96918\n18099 54809\n64261 88008\n9371 56805\n11909 88850\n41914 55116\n13591 91401\n11866 14257\n5947 96297\n46695 76022\n26418 82342\n39489 49495\n92184 95773\n63114 67397\n9047 95377\n73746 97112\n13141 59007\n25546 56977\n17409 40641\n982 55078\n18761 96585\n29127 65943\n7331 85081\n36688 39049\n19853 50700\n3326 34254\n88095 90731\n42418 84254\n30503 45313\n93230 94741\n15102 19892\n33654 84337\n2025 27362\n73769 85531\n21385 94403\n59816 93577\n49113 50361\n12841 16010\n28327 66050\n18235 29925\n33722 91090\n55093 65814\n30838 56118\n24775 82859\n21261 90784\n49484 50076\n14775 94429\n38350 55308\n52231 76986\n91769 97202\n18816 90438\n49435 58395\n22407 50469\n10803 92631\n7050 60919\n23524 29930\n63960 64931\n21128 45857\n51242 51701\n17888 56941\n16428 25582\n56379 59513\n33096 35356\n8005 80079\n35677 43652\n43842 62999\n2163 76461\n12582 17165\n56636 86684\n83999 85651\n17817 35673\n10404 11146\n30080 89463\n45270 48833\n4889 5942\n59555 62345\n7082 21342\n18599 52011\n37578 97142\n51590 92145\n35962 94861\n24751 74229\n49375 67309\n653 36279\n71332 91108\n46583 95927\n30208 55688\n14826 42188\n10442 89352\n15834 29382\n47437 68590\n52286 75665\n8331 60984\n20092 24445\n53379 71051\n51361 71533\n78366 89741\n14900 62210\n9803 39567\n48719 99769\n10502 58813\n73542 95923\n48641 53233\n31178 46909\n11641 36475\n53960 73247\n33012 43156\n14746 95591\n35030 87063\n12708 91030\n22358 98870\n59376 84945\n34089 61498\n33252 74708\n34861 71594\n76448 82759\n20637 31071\n34049 95510\n20524 47225\n22271 29481\n28635 79271\n2741 99218\n41291 52954\n719 63948\n40118 99331\n38317 49870\n30662 67731\n76305 85420\n961 8212\n18176 96567\n77974 84797\n8261 77346\n62346 72599\n33993 62066\n56260 85112\n39049 46422\n6028 73970\n13421 23735\n18927 98284\n30632 79747\n3671 36330\n57728 97985\n2579 29018\n38861 60382\n29492 45057\n2231 80067\n67547 98345\n10557 40779\n19105 65527\n46081 82309\n35369 57343\n21139 98374\n39058 42402\n29669 50214\n11072 14400\n51730 68724\n69369 79315\n43751 94212\n6356 81463\n6435 99304\n61602 91570\n51022 93005\n35143 44031\n23511 29975\n61079 74500\n22581 65786\n3160 89597\n28078 94051\n20841 97905\n32355 80803\n11861 37601\n58335 98431\n20877 55053\n71112 80220\n75 74613\n75044 83057\n59841 84948\n10203 88545\n74492 90312\n85583 88547\n30223 30867\n14712 53650\n2087 83730\n15370 96046\n78543 89896\n37111 65821\n1086 44688\n33332 43095\n29 76237\n6665 82154\n56724 85391\n509 2245\n61012 67475\n17205 17874\n7126 68025\n17739 39445\n76821 83903\n22909 27059\n39880 86577\n46650 97778\n1238 80445\n31156 41990\n23926 76551\n17097 67970\n33318 50367\n13715 80620\n33486 52408\n11079 68576\n33573 62515\n70313 76913\n21977 55446\n32066 69008\n10933 24788\n29161 50463\n8449 44670\n50874 60145\n80780 92855\n6381 67094\n64659 95916\n90039 97496\n8391 8648\n25543 32875\n73412 87071\n890 81587\n33694 95750\n55035 95936\n31399 87026\n45328 74273\n30370 34326\n41902 96335\n14859 51046\n8141 58302\n12264 78380\n76027 81001\n66008 90400\n70430 71576\n6892 57944\n9925 63070\n18779 67772\n18806 70484\n19665 20099\n35145 55623\n42904 88756\n21865 79846\n69099 94704\n10978 50909\n28998 64586\n42209 93218\n18273 93356\n1496 40354\n30386 35577\n86672 87085\n12525 39975\n57704 61769\n52304 87356\n6716 35348\n26485 91775\n20018 23452\n3484 38542\n3167 35864\n11417 83582\n39995 87578\n26432 84223\n33333 81402\n63259 73413\n53780 89693\n5393 90394\n30841 88141\n38815 90278\n53350 73297\n32692 93017\n342 38299\n55285 58569\n12894 45687\n50932 90200\n74128 88445\n48774 98756\n19737 54898\n5450 87924\n27678 37650\n3334 74949\n78739 84604\n55827 62276\n44807 57407\n90012 91351\n4934 92747\n82691 94740\n65053 99646\n2507 63099\n27722 97392\n185 81094\n7818 91142\n14411 50640\n4844 96315\n52276 82227\n5066 27624\n14502 37344\n78145 87048\n38188 59843\n3204 17986\n1288 28198\n952 2672\n20166 32967\n57785 77685\n23024 51181\n30254 89655\n48797 51107\n18856 25865\n51305 61857\n26534 88851\n15121 87890\n25973 50234\n24282 80852\n65694 69168\n6339 85798\n17224 42760\n12740 73526\n9543 69865\n46496 98493\n43222 65805\n19551 96558\n80400 82536\n59644 64513\n85525 95060\n33166 96711\n22980 51318\n51799 91013\n77262 83868\n49355 64377\n15287 34028\n70792 99040\n77453 85183\n20739 27978\n41303 58002\n42153 81459\n43795 51746\n87189 94362\n28846 74355\n68903 95129\n61781 66456\n9242 50520\n70242 71456\n21295 65978\n11841 86051\n8175 28537\n21360 59592\n22316 80121\n47298 71490\n6058 56601\n13844 64290\n83595 84402\n42941 49091\n66541 68879\n13923 26357\n37480 88982\n74559 78913\n34445 67082\n2655 10759\n48162 88861\n19796 75113\n20340 59773\n40333 58086\n13274 95711\n7795 80800\n35187 99255\n14406 77500\n3067 48015\n86238 88021\n79001 91366\n84383 92105\n27625 74930\n24418 53917\n43010 44608\n53963 74310\n66086 93356\n5209 59783\n34497 93793\n79279 81447\n33176 54312\n4186 14825\n30137 96947\n2605 96256\n10727 67581\n4504 54019\n67162 96425\n9536 53268\n21981 63694\n10211 46879\n15963 49246\n87766 92529\n16530 93921\n37037 48638\n73599 92122\n74723 89353\n40795 79943\n83813 91982\n16424 87264\n35921 63664\n42218 89897\n72511 98801\n64052 93084\n16511 69732\n43844 76728\n66978 77547\n11128 25648\n39592 96132\n31703 96466\n9858 54621\n4504 14964\n37209 49480\n25364 63763\n52063 55786\n48349 96085\n7896 42694\n9938 94985\n6263 27534\n17827 39083\n57819 92629\n57311 60723\n24091 92066\n26980 79992\n45360 48554\n42312 77983\n71390 77022\n12616 77620\n5987 43590\n39306 41624\n814 36719\n13638 73541\n75252 92319\n34306 88022\n70583 71337\n28978 95018\n21916 66873\n58280 85462\n3596 23809\n34576 77053\n17451 44504\n8122 94750\n74496 96995\n25078 31762\n63756 93230\n4081 73445\n51446 59987\n19118 96311\n5239 8403\n1456 31659\n12169 43660\n54406 95904\n24226 72923\n41012 58440\n19379 68835\n81350 84368\n6396 49351\n10440 45428\n5882 20545\n12727 26617\n52255 53516\n10124 34477\n26565 38812\n7080 23813\n83119 84352\n82510 99314\n19871 44847\n10795 31575\n8986 96846\n41948 62208\n19532 67122\n21172 30783\n39057 39491\n89644 89654\n4235 11157\n52794 76341\n30726 36931\n82531 88961\n2450 94023\n1105 61565\n57293 95375\n46096 84593\n44923 74217\n36205 79419\n18684 29483\n28206 65651\n81246 85841\n1354 87203\n16072 86710\n45425 61744\n4942 68014\n1582 58850\n25831 76271\n60831 82950\n35434 88082\n8062 24208\n43230 52941\n12875 98145\n27185 88800\n19908 70081\n28868 59172\n13196 59233\n52742 66467\n60159 88937\n56708 87305\n9394 85632\n2366 80797\n18137 49145\n43122 51449\n55963 97963\n20549 82496\n23394 54467\n9956 92865\n11734 12843\n4472 75210\n2358 55716\n11227 67739\n5247 25415\n13261 77248\n71147 82083\n24206 61658\n14629 81019\n4878 71615\n34106 48659\n49110 90693\n73169 94649\n36271 73281\n42710 71686\n51650 63407\n40621 97871\n18424 78253\n17062 35749\n28291 80417\n13712 44581\n11955 78264\n29543 30829\n23505 55175\n18137 31866\n50892 70260\n93900 98339\n18716 58932\n15445 21396\n97033 97703\n82206 88808\n20449 56576\n30551 52111\n3816 63704\n63840 68041\n52858 60601\n62213 91883\n17577 99123\n39183 58701\n10888 26303\n41446 50035\n53883 61659\n65903 76030\n41367 88927\n68433 92491\n57862 62845\n53680 81577\n19636 40472\n25004 94380\n22541 99568\n30528 83213\n8548 72541\n6729 61916\n28351 73583\n55898 90863\n57033 98897\n32196 68363\n57275 72153\n18018 37513\n72900 81984\n6301 80683\n7957 66964\n25733 48686\n1475 64055\n43974 52626\n38372 74241\n6638 88245\n34866 38308\n33036 55196\n37114 77021\n5817 10342\n15182 65236\n44197 46058\n2312 7911\n46650 47602\n39426 73659\n7930 67211\n6285 71917\n14482 52953\n48616 83443\n5098 96592\n1066 54964\n27164 47009\n73623 75786\n3122 71129\n43830 54967\n63159 99945\n37278 63151\n42587 56718\n58391 60168\n36721 61215\n43499 76061\n3305 34795\n54082 67413\n65852 77613\n29526 77511\n31510 74523\n22980 28360\n56024 96562\n25095 90562\n3589 47923\n13909 25586\n48557 52764\n73499 87402\n93919 94024\n25710 46353\n33281 41190\n15256 24141\n33635 57156\n6062 68535\n65607 82516\n39103 45291\n60858 91837\n1504 40906\n58748 85477\n47518 89072\n12784 61301\n74947 80342\n36529 47711\n7523 42921\n27511 44223\n806 53693\n6584 80433\n41032 45358\n61069 70715\n35868 39306\n78198 96588\n66758 76356\n31806 60269\n52888 58318\n53089 81559\n57340 65064\n43291 55357\n33553 69756\n8017 62739\n55 15278\n16841 67223\n27884 66450\n15246 28714\n10893 86636\n69950 80019\n36197 83827\n4168 33512\n77560 93247\n2120 73799\n3278 21753\n77595 86607\n16143 30643\n20975 90096\n42537 98134\n20648 22117\n63830 90589\n10273 32971\n56607 88306\n27235 42658\n21372 49330\n85831 88917\n56550 78232\n64639 97586\n88454 95870\n30928 47606\n48463 65838\n9113 95053\n75258 99762\n17538 53953\n32966 91903\n49448 83883\n17935 93452\n6380 62429\n22583 31233\n37734 75641\n39255 78709\n39968 69429\n53237 97034\n11193 35854\n8436 23461\n13497 29280\n81090 82665\n23705 76404\n14339 22362\n63231 95227\n3535 30470\n23392 79907\n58666 74962\n65021 90050\n23155 51330\n6034 26099\n31264 96428\n36330 49653\n40852 87021\n2819 56055\n22088 84137\n19209 44522\n46486 88794\n38001 44543\n20709 97662\n25934 75560\n47055 71519\n593 48353\n49380 76751\n39764 46951\n713 77987\n12986 60788\n33076 85501\n14486 72950\n28020 50863\n5648 82637\n6950 83444\n11755 72898\n33076 86196\n87226 99840\n31894 72878\n24176 73147\n3430 73132\n11337 50219\n3866 89256\n44906 80253\n424 46483\n7226 9129\n30387 96840\n1053 92897\n33915 72445\n73622 88205\n10384 97688\n10244 56078\n2785 49396\n39318 49113\n17438 26853\n24903 49902\n16083 20854\n66177 81064\n47695 52581\n18516 21355\n55819 86161\n42634 62918\n60659 91644\n11085 76957\n24137 53418\n3007 3802\n11060 40112\n33286 50829\n618 66631\n59425 90535\n9235 30702\n91535 96009\n18589 51681\n1640 46664\n66186 69070\n5125 67868\n17391 75050\n61239 82910\n13061 86455\n6724 48679\n39421 84805\n37820 61392\n48263 49566\n1128 78687\n749 79885\n2195 82016\n26078 82402\n60182 80542\n14547 37091\n48988 83260\n49964 76219\n2865 32235\n40694 48967\n96449 98077\n54891 99540\n32312 59798\n68545 80605\n2290 6096\n1725 29342\n20782 96122\n14595 87419\n29720 65986\n26304 85981\n9404 42311\n14824 30859\n66376 80801\n1262 83325\n6510 71893\n23171 69198\n15365 95638\n38935 51063\n7703 74131\n38851 39406\n20747 80378\n26801 97735\n60426 63768\n17043 68256\n45257 69542\n6811 92618\n62328 98071\n18307 32570\n6796 32413\n59874 64618\n18944 43566\n30895 64243\n16768 59289\n81144 93472\n9412 58967\n39628 93544\n1819 21153\n41104 44775\n23130 46863\n19136 72284\n6433 96090\n78610 97158\n35411 48644\n53267 76092\n2209 66371\n20805 84167\n33121 94380\n29438 48339\n38472 98380\n4820 58223\n26577 99158\n18600 46266\n40908 43302\n2087 59707\n11537 49579\n36681 62965\n3666 4145\n9237 70974\n20655 56520\n63222 72786\n39155 57820\n19585 64172\n2953 65977\n54590 86768\n41381 62522\n27431 86717\n12817 13654\n32918 45215\n6078 19934\n57272 96777\n53914 88325\n49060 88962\n22752 64901\n16198 36778\n81003 89970\n37399 60916\n74107 81401\n13239 82865\n35871 46429\n66349 99887\n72999 79795\n54516 68140\n18117 87495\n4935 90556\n6687 11513\n37871 99106\n22170 45033\n61495 97222\n4689 6498\n12711 25753\n44193 90138\n51540 87419\n81805 87405\n17283 27423\n50327 91861\n37439 41974\n48782 94688\n18164 55439\n21628 80128\n17915 25221\n29257 67166\n44922 74260\n24135 24243\n28004 51126\n42155 77484\n47324 68996\n9401 59980\n22498 32876\n43960 72066\n65529 99348\n20002 70738\n1272 55435\n21453 56108\n31481 85335\n66985 77078\n7176 64821\n50796 61334\n37925 98401\n30455 70063\n34605 46426\n23150 64547\n42342 61372\n27902 68646\n3214 5629\n72177 90854\n7231 54610\n19342 54457\n11843 71019\n55007 63087\n83264 96438\n7379 41829\n66240 69539\n29133 85811\n2518 14026\n31319 75847\n26629 39035\n3851 85367\n67779 82126\n42491 85832\n42735 87616\n41656 54161\n8094 13639\n32398 63058\n65565 74860\n3443 63697\n21779 39374\n49091 53986\n8585 54562\n91095 96818\n24165 26137\n81 40515\n64051 76107\n34412 47481\n7320 73860\n43963 67671\n12426 71173\n29724 89040\n50730 91273\n69377 80295\n58814 63332\n45901 76005\n9749 65044\n36786 65805\n47323 53585\n90011 95722\n75529 82231\n77829 92358\n56022 88237\n52863 53439\n46146 57049\n22272 76469\n58669 71092\n12309 97185\n11222 79826\n46338 63273\n47180 69923\n59901 64872\n73125 82822\n17583 96415\n17168 53173\n27807 85367\n67661 94624\n3241 79364\n59774 66027\n2473 2720\n23433 64215\n27709 32132\n20079 67077\n31703 51320\n50482 77158\n60155 69834\n29420 72121\n1687 44696\n79722 90429\n166 44335\n85241 95096\n55916 99112\n58459 93307\n27704 83378\n68882 84736\n24568 72776\n3750 7911\n10232 63457\n7002 92570\n52856 59387\n85225 87608\n62207 73007\n26237 73933\n95792 96083\n2628 66803\n29400 72974\n70289 83433\n24289 28007\n10948 64664\n59454 81100\n26584 61547\n44327 48514\n19831 43911\n51448 98114\n35454 78549\n6949 89659\n39967 81027\n19544 36367\n27127 95915\n18975 75602\n10115 75332\n15317 81248\n59211 70317\n22542 61015\n50059 97560\n23495 31680\n19556 87762\n57190 88312\n56414 91624\n32318 59701\n25225 34981\n53914 79722\n26752 90224\n53016 83758\n23895 76491\n19866 46200\n17596 74406\n28051 86339\n49386 93749\n12246 29062\n2197 80736\n56815 66300\n4363 57032\n1057 98282\n32860 47298\n47778 58873\n30637 81827\n71034 94343\n6288 39499\n897 99893\n1458 24544\n11510 53173\n12265 56914\n1964 25225\n13530 27461\n4191 26567\n9479 57083\n13380 72128\n39423 89656\n3436 90305\n15080 88278\n7528 81143\n1576 4670\n42144 56559\n5041 43516\n46572 78926\n60901 93687\n28116 46237\n15964 21755\n50874 74901\n45143 85843\n2982 50008\n11173 90668\n7846 10538\n867 50579\n35694 90496\n13230 29516\n56724 95302\n47942 67681\n17357 38263\n24369 31442\n58710 78180\n4838 12092\n46138 53496\n53644 94576\n32935 45126\n63924 84901\n14404 43323\n80271 89220\n69903 76152\n23298 85808\n60790 69163\n56385 72900\n50154 50718\n6610 26825\n50803 84721\n31958 73719\n54520 66380\n10042 25043\n22346 36451\n1305 49297\n2172 36069\n36319 78773\n33135 88941\n9452 28331\n93819 93967\n23876 30117\n73209 74893\n60331 95904\n13787 70410\n81312 91763\n52319 59752\n88143 99855\n65362 68895\n17490 60802\n9364 52407\n743 60863\n26245 38352\n38959 53651\n76179 90328\n55596 71676\n10340 21136\n39146 92924\n35120 54625\n6347 37952\n17412 46151\n27876 60912\n67562 76536\n24553 34324\n68003 91249\n52075 59951\n23001 74894\n47933 94660\n31581 59667\n47253 81864\n47250 59247\n31877 36550\n57271 84440\n26177 49979\n29200 30314\n8318 24017\n35875 63048\n33395 69333\n47207 67694\n13799 48436\n51697 74870\n31018 62846\n62766 75473\n213 16962\n61462 77441\n6834 36839\n38801 86537\n70229 77083\n81074 96618\n6808 68457\n83175 97500\n35001 62183\n12606 77331\n68388 83320\n63181 78978\n43029 58269\n51225 76055\n9013 45060\n35655 81051\n43045 70708\n43514 82368\n17841 56699\n46346 54044\n35981 90167\n19320 27495\n3128 92708\n31191 37894\n38562 64552\n70336 87977\n28323 80090\n53755 77276\n23721 92298\n75339 88325\n4113 33379\n24153 36559\n20570 45797\n33981 45590\n4778 54649\n3572 6058\n85436 90757\n23398 91186\n21262 99980\n48633 88070\n53591 57693\n22473 30301\n15793 91457\n75599 96577\n272 4392\n1696 74052\n66772 77707\n2213 7599\n82119 85320\n16583 32178\n6701 72277\n71250 96832\n6227 51989\n23140 41369\n18210 46112\n33508 40206\n1937 74887\n3069 17362\n62684 95914\n38524 77176\n4257 75831\n63422 67771\n11547 88838\n81625 95386\n26874 27910\n21672 42459\n1806 57344\n69929 74211\n9286 24045\n514 78135\n18778 89123\n20012 40307\n30721 41963\n10903 62370\n997 19590\n59047 68913\n84815 87940\n50726 87691\n81683 88890\n82757 83937\n4151 67746\n46243 67779\n32669 73467\n12923 51620\n7151 68830\n20679 77861\n38087 60471\n6307 49791\n32939 41904\n43891 71340\n55001 87905\n86543 99807\n1694 62577\n40678 55963\n35673 78991\n22928 50303\n29518 78734\n18014 52573\n54681 91865\n49166 84737\n7836 36726\n53447 76935\n2211 61160\n120 13891\n27922 49919\n73713 76295\n43568 95910\n45336 50212\n32725 86373\n29204 39909\n80407 91054\n42502 53554\n5621 62214\n33259 93263\n41666 96864\n12432 46770\n5764 65937\n18676 99589\n1434 5375\n72232 98473\n70495 80819\n36760 93674\n61307 81752\n11282 51856\n19139 21259\n59022 74729\n5614 14947\n10843 60503\n40018 71507\n55452 60480\n26077 30305\n2451 26713\n30871 78144\n10401 25263\n72937 91576\n43211 88817\n54091 64307\n12167 43542\n56322 60488\n39776 93262\n42485 77774\n31926 90361\n674 25360\n18139 68062\n48472 97321\n54915 63121\n23454 51732\n24089 83409\n66857 76662\n2414 53601\n87566 99541\n23703 62274\n52547 97433\n58352 90834\n41975 73987\n74038 76327\n54367 99015\n48854 73120\n44204 86529\n24187 85934\n83887 94872\n69838 92346\n12460 33141\n32577 54776\n2792 56430\n36860 63220\n52592 75677\n40249 56810\n46945 64003\n78836 85371\n43296 86729\n36476 57204\n824 65566\n35146 79074\n23955 64965\n54540 61105\n52590 98847\n21635 94037\n12867 36518\n53286 73500\n36750 79452\n7144 32862\n25982 70587\n5462 51971\n27797 59473\n4056 27094\n3788 80455\n29048 93790\n20254 85106\n40261 56744\n29158 56140\n2357 95088\n14583 40982\n62425 80074\n10637 60409\n46628 75894\n13713 77243\n2478 21854\n15048 92563\n2810 34218\n18897 65730\n30566 84215\n5679 62482\n4160 47052\n34394 78252\n26983 95050\n69948 98292\n48191 93504\n92773 98800\n42958 83818\n3779 97019\n53061 78066\n36893 68604\n10308 64350\n9635 31529\n30411 39169\n60510 65069\n10623 94415\n7763 50804\n10623 74016\n29231 36733\n2082 60907\n16712 31719\n39407 72267\n61697 96651\n50982 57924\n25210 90596\n66068 79667\n65242 99322\n17017 84883\n43934 56542\n22637 69366\n63249 80191\n9432 71916\n54348 56365\n2908 4713\n66496 93591\n14792 90154\n76252 98652\n33899 81358\n34550 81566\n5323 92801\n54042 66086\n1751 40907\n92121 96930\n53588 58122\n10670 80850\n5598 44707\n48814 69629\n64756 70628\n37847 58054\n32229 64784\n22973 28488\n12173 34654\n33191 82060\n18157 23708\n26840 66982\n26265 70017\n36394 39697\n91753 98977\n60420 78873\n95576 98166\n17380 75165\n52153 90754\n44423 79152\n58992 87427\n52823 57926\n46179 90610\n16373 38925\n6140 36758\n12732 88222\n52680 65851\n38088 68879\n32681 69834\n40335 67141\n30494 31611\n58648 87236\n7350 55237\n17137 51440\n50874 54303\n59355 78183\n25816 64943\n6424 95178\n50423 61483\n62269 98291\n21599 52992\n27217 58087\n25661 31405\n4982 77435\n10167 74435\n46105 46465\n30336 35002\n35442 40109\n5698 62669\n72215 79618\n44713 97329\n38581 61015\n17070 61462\n47047 84424\n7892 14543\n48651 73547\n47117 58053\n53260 70923\n69676 95047\n13322 87835\n28271 99091\n50153 84260\n43823 69324\n64142 64384\n74689 89408\n970 50406\n54324 96997\n37097 41827\n89073 96722\n51314 87214\n37740 40425\n32649 32709\n12439 92789\n35085 37029\n2529 26648\n30755 31260\n15511 57145\n10658 48036\n31818 37126\n85434 89693\n8789 66873\n9584 27281\n3249 35048\n21493 85940\n63945 90917\n22520 23568\n53 71982\n36451 67535\n7303 70836\n15422 45323\n40794 63713\n63095 96382\n18019 25727\n54571 79319\n20381 38372\n17470 66628\n16634 28568\n48483 89651\n67597 96668\n13080 32608\n38040 65716\n50930 62920\n42647 47275\n39586 81356\n88155 95318\n36574 65746\n60075 71971\n57031 64584\n27262 86535\n32803 84092\n33632 76418\n51284 79953\n65060 66662\n9515 67335\n10940 49155\n43300 91205\n10656 92285\n30930 76692\n15959 77809\n21782 27147\n55829 93557\n21602 25516\n90489 96203\n35680 92203\n9046 28206\n51245 78285\n23840 62757\n46731 57784\n50860 60875\n40504 44271\n46321 84996\n45100 56583\n67841 76271\n10946 82241\n1775 5819\n60230 82751\n70070 73246\n10368 81166\n14757 99715\n27901 85827\n35632 40312\n2967 15808\n9630 88416\n60983 79827\n63267 65798\n43706 46743\n14290 24794\n41430 90326\n22547 99862\n25825 43700\n68778 93429\n55847 98394\n30979 43823\n9560 13547\n19402 60370\n44962 60974\n14432 16667\n49130 59200\n38494 75906\n2387 48800\n2743 30952\n39358 60613\n23182 46364\n51275 53226\n89695 95965\n58964 74303\n6694 50076\n43462 76942\n20724 77658\n29230 38502\n27833 54673\n34177 75605\n49291 74463\n35553 39854\n54059 68881\n51349 57409\n22481 78199\n5082 35770\n19688 41271\n33810 52473\n1554 93203\n22442 47006\n93959 96738\n23934 48012\n7067 45193\n56948 74254\n53923 97589\n41919 46026\n17065 46544\n15416 80322\n15498 24250\n37473 94886\n17654 49141\n71112 97965\n31058 93586\n11651 45075\n17421 25174\n14894 99368\n36776 49848\n25770 31469\n58990 99949\n31797 87445\n10899 14146\n10204 71869\n79389 95941\n24263 69854\n20698 34670\n19289 92239\n20071 53435\n2649 68709\n17747 76375\n32430 35706\n54403 62121\n38812 86810\n6574 12567\n4248 6359\n25860 68233\n23986 70530\n56005 58468\n2000 56789\n6747 84872\n20471 87829\n1090 75069\n31976 77781\n29923 94787\n88982 93383\n18735 26242\n29874 78926\n26882 93087\n15980 69222\n22800 56152\n7579 84774\n36920 69228\n53805 95298\n16714 53403\n30484 65963\n73621 79211\n32527 36134\n4475 46747\n39589 74709\n41867 54217\n55152 66906\n73860 98980\n38450 61702\n63386 98799\n8908 84501\n71545 80948\n56624 87562\n40209 45887\n89060 96636\n18290 73436\n26939 57450\n13892 40191\n10137 45804\n34922 81518\n12399 57666\n48103 89035\n29895 83906\n93472 93796\n94892 99031\n79507 80736\n35946 63479\n15587 60781\n1216 27260\n13856 26522\n58119 94334\n21784 72787\n17155 71057\n52521 78562\n56190 94803\n44959 80891\n33107 52885\n84709 84811\n14163 52347\n4460 28390\n30807 35131\n67643 70667\n82657 87958\n48502 73725\n19087 57906\n50398 97945\n18709 19614\n14343 33255\n36897 94511\n15047 41931\n9799 75693\n74586 94203\n34901 93848\n60146 98070\n51453 78256\n38263 80813\n22324 92125\n313 95370\n71757 92197\n19407 94155\n33881 96130\n56640 59220\n7682 81917\n36258 53670\n32647 84784\n22756 89313\n24252 94314\n6968 96768\n45767 46824\n31278 93016\n25469 89149\n16956 34971\n16281 95198\n26358 60956\n30151 53938\n3709 53179\n19750 43408\n21621 65772\n3894 14590\n39344 94865\n18500 92494\n52624 93277\n8128 41320\n8022 76423\n53057 81414\n47681 67785\n17140 67549\n16547 81809\n48402 50161\n31146 57769\n5568 17716\n36916 76436\n28135 55557\n17623 81599\n12530 90525\n5042 9289\n48463 73255\n18892 80851\n44633 75836\n50542 86710\n47131 52529\n51627 66830\n60308 75754\n4421 34236\n37187 55653\n67730 92707\n7812 44547\n1157 39846\n55872 81678\n2702 61433\n20773 64929\n24263 79897\n61434 93908\n427 45373\n78634 98351\n21764 37748\n16423 25051\n34405 37507\n78151 81295\n60699 81717\n38778 75782\n43274 75505\n17461 43776\n121 11862\n61563 85852\n43241 97202\n45651 50717\n50900 81032\n12629 68017\n1835 63966\n73386 98278\n7232 37886\n356 39899\n53812 92682\n9858 42258\n25220 95750\n191 52097\n20414 78378\n41911 49202\n29795 86805\n67547 95827\n16034 65819\n44146 52784\n61023 81270\n28192 96081\n32409 63953\n14121 19762\n18086 81384\n13236 59275\n42351 43546\n47658 56861\n51303 74859\n56778 97167\n38533 93543\n3434 24224\n46872 61022\n59492 72110\n28412 34221\n5110 92538\n43118 43846\n37771 71561\n35605 72011\n29791 31338\n77676 87904\n17855 31730\n65216 86819\n44492 70797\n11560 22587\n25423 80096\n4968 83319\n160 52577\n19013 57478\n7239 78037\n28123 85705\n16071 35177\n3106 15287\n73030 75596\n30590 64005\n60488 83680\n44325 83298\n81150 82055\n37218 71690\n48588 77121\n2962 54866\n64870 79719\n20473 86200\n20750 79520\n48161 83028\n8348 58991\n372 24021\n60963 63665\n21479 22231\n42115 55510\n19998 55082\n21017 42433\n3760 22529\n18558 75473\n9971 63628\n43351 97644\n50727 91233\n3853 37833\n36263 79587\n17474 80594\n9608 46814\n83002 88396\n11483 90206\n30615 39448\n77572 81581\n63224 91423\n66489 86131\n18729 39888\n46189 52947\n3966 39556\n80348 97766\n39330 47403\n1639 20756\n21682 38361\n77428 80425\n48847 56989\n58605 62483\n4929 14152\n71436 81107\n15350 66586\n34832 41282\n46153 87504\n22712 55536\n19094 62898\n46539 68606\n17026 56104\n3118 54975\n25182 58851\n43826 44160\n39101 85119\n52938 57988\n12080 40787\n37903 98649\n16298 78251\n26764 93224\n34356 86135\n28019 58515\n27110 70781\n45397 46724\n23121 72970\n60747 86873\n35229 80054\n43468 59171\n41421 79805\n74373 80801\n1306 59093\n59637 67841\n11136 87019\n17320 72160\n54069 61278\n1883 64101\n46276 58875\n12472 70985\n29859 94461\n5104 71639\n13517 77002\n18663 44060\n3769 71899\n22713 56374\n23819 87357\n49231 78631\n10028 68600\n33458 99322\n28549 53200\n75229 82473\n60803 80365\n76855 92332\n5767 19523\n25440 90973\n71212 75090\n88451 94541\n32159 35956\n12291 52982\n50595 82869\n2897 80768\n18499 97554\n25116 61594\n3426 39970\n39292 69408\n7759 44138\n77884 97112\n13773 91199\n67559 88633\n40026 53329\n76343 90528\n15855 66663\n30275 91970\n37171 40592\n50944 67171\n23014 46242\n23004 81035\n59516 90436\n5628 46126\n17441 87633\n75906 87610\n9986 57272\n9906 42399\n12172 14844\n3206 16813\n36389 80281\n7993 88731\n61296 97851\n61060 81176\n37110 78212\n68665 96125\n68267 68345\n4621 97061\n10156 43049\n36225 55055\n27318 66797\n11420 80261\n12153 50297\n5288 68243\n36876 45944\n20029 81266\n80646 84645\n43032 50583\n666 32568\n5314 8587\n510 5993\n59988 95924\n29064 40144\n22685 75453\n11444 49471\n4257 17848\n14800 79930\n69354 85326\n14986 44124\n10122 71459\n32319 94842\n70 70737\n37834 78552\n20581 32414\n35597 35733\n15763 43135\n78993 97547\n64470 77751\n63139 90267\n19923 41637\n48601 67877\n11144 16535\n23098 99148\n20562 72482\n23057 93367\n12120 49045\n87397 88945\n71495 86199\n42645 80575\n23117 80712\n31248 59420\n20771 70524\n14073 26816\n24125 60120\n20366 90054\n30374 51169\n40696 93773\n9857 99590\n15402 34508\n89546 95398\n6476 19509\n74792 97015\n14809 20041\n10012 53446\n93275 97403\n11665 16853\n65753 99080\n12270 47097\n67692 91168\n1416 81124\n33483 75230\n52896 62966\n6496 44429\n68530 92056\n11460 19408\n6027 75719\n62949 87836\n24272 81321\n25935 75489\n1586 12343\n48129 71068\n378 35754\n58694 89761\n18138 94495\n17320 54767\n77796 90476\n42297 66461\n82414 91248\n80741 94563\n16739 97566\n62913 67820\n17560 44708\n33231 41409\n3310 66517\n24124 52775\n13137 92974\n14094 79433\n2615 49660\n35315 91005\n16341 80637\n12336 59709\n8931 35453\n4156 80028\n84362 92292\n33612 62554\n19456 90045\n6888 59223\n17678 80516\n16642 46610\n59035 70419\n78340 90416\n1359 54639\n10164 22808\n62678 67394\n62758 94258\n84258 92499\n65730 90340\n26927 61918\n16689 94391\n50260 98528\n44536 98497\n37598 66016\n8093 55210\n67630 91995\n47531 70161\n71565 73969\n43704 57028\n64650 68355\n71279 77948\n76578 80724\n27443 69757\n45756 67766\n7803 85720\n43103 86892\n79001 85874\n30111 44788\n18199 87120\n39144 55785\n86734 97778\n24311 92554\n45088 51331\n43293 64189\n70448 77960\n22217 31519\n21942 27558\n41970 81416\n9543 33579\n61406 93928\n84739 86922\n90395 90464\n3445 82215\n65659 74983\n54522 89265\n72723 97535\n95832 96256\n8817 28936\n77285 80649\n21171 36189\n2236 84115\n11524 25077\n70196 72033\n31131 36172\n19763 45423\n13771 74817\n7962 49694\n4205 95166\n72 61128\n1948 30766\n19809 48225\n71676 96797\n37233 38202\n54601 63126\n55751 94221\n21714 28770\n21291 80967\n31880 98344\n43901 56251\n48489 65576\n14107 14405\n70395 81384\n51588 79677\n9389 73995\n77520 84082\n50385 95026\n47875 73019\n87702 91341\n96471 98422\n13558 61251\n5271 45577\n20217 99796\n13314 99563\n46487 91980\n82179 96434\n72317 97877\n27793 33056\n11686 71859\n5878 22891\n23294 65081\n9761 24053\n14346 17527\n12894 24587\n3318 18186\n20600 53772\n4804 21851\n36640 63187\n2252 78618\n26761 43816\n15923 38684\n73667 99178\n9148 94254\n40416 88891\n51036 59562\n1138 6688\n55941 57793\n76160 81475\n78913 79123\n28248 58795\n2403 95188\n22842 47247\n4741 47493\n11709 72542\n50341 52255\n29384 30742\n10228 13511\n49991 63048\n30039 74142\n13369 42125\n33254 53734\n7700 33685\n2233 67401\n18299 39857\n30821 79635\n33613 59588\n39722 60851\n56876 85370\n65501 77133\n20065 69905\n5170 76837\n18620 41999\n36630 93098\n53713 85032\n956 92903\n6601 41994\n38439 50089\n6340 70436\n420 68071\n32068 40890\n18136 44363\n16147 95344\n19323 69187\n9674 73611\n34111 86535\n27891 36129\n14694 69586\n11674 21865\n57903 92816\n33079 93215\n40450 65735\n9934 31642\n12022 90216\n40066 84899\n56373 65780\n8786 31887\n30053 34197\n37099 61836\n52293 83420\n11313 32340\n35273 77653\n529 76380\n58980 92386\n29280 92869\n17402 36467\n28180 67930\n42369 81149\n25501 99031\n45301 69946\n75499 93080\n37696 42384\n30316 57375\n14960 41193\n10609 84198\n6906 46658\n51831 71878\n26010 66583\n6678 98033\n32540 66104\n21230 21297\n17732 90913\n21642 74583\n76353 76803\n77650 95319\n23081 42618\n16489 43970\n44544 71357\n14883 64929\n14759 62665\n9528 18505\n13195 51721\n33389 52470\n11869 91312\n72653 95026\n3898 55665\n3382 91734\n39103 85525\n706 6989\n28181 55916\n55827 89160\n62699 97214\n17904 57985\n9568 80306\n64653 74051\n1253 17596\n27731 50108\n14861 62154\n53334 77300\n10046 17154\n48061 78545\n65740 82000\n48686 60438\n48761 64909\n32836 68487\n85838 94355\n42776 47815\n75205 79253\n41421 63303\n22745 82924\n7219 16213\n57186 74905\n30521 88928\n24186 28787\n15606 73252\n7060 10294\n23493 32085\n10665 33249\n55535 60356\n4385 44088\n5285 14965\n4294 81626\n35589 44303\n24937 65332\n87725 98800\n34930 92979\n28280 66768\n42385 43201\n49027 63885\n58476 95351\n285 38569\n9238 13960\n38223 89160\n78078 84177\n6201 84933\n49858 92886\n19657 41292\n21775 64563\n75586 79224\n16533 98860\n10201 29083\n39060 86998\n81646 99071\n2841 24081\n56016 58082\n14355 46237\n9019 73869\n24039 37427\n44087 60180\n47869 63187\n7289 71268\n48858 85834\n25390 51415\n52516 98641\n54567 67567\n21852 30375\n12981 39216\n632 62083\n14140 45815\n4170 43323\n18895 58541\n58970 84109\n29027 59036\n9062 35448\n59265 78516\n2623 26568\n1663 33286\n18062 50579\n9901 53052\n32748 55730\n80934 82559\n94135 99875\n39094 98786\n38403 55297\n2878 81589\n45064 66232\n52174 53325\n27110 66451\n14119 74538\n12238 58191\n16663 81924\n7636 13993\n35381 52883\n67975 77068\n62134 95507\n37645 48279\n9505 9947\n90632 97241\n19363 28599\n77681 94822\n25243 28812\n19031 78794\n26792 44330\n66111 66128\n50628 69817\n40030 93567\n7756 91580\n25663 99769\n58344 95860\n63318 79755\n51827 58567\n3698 32030\n11159 27021\n26507 85731\n21577 55519\n8494 42945\n70540 71894\n38116 83869\n70943 98404\n42042 58244\n13577 72067\n12598 46706\n5804 35739\n50297 87655\n34108 60210\n18925 37306\n63213 86969\n46916 88077\n3126 29072\n50383 64325\n26957 53958\n44347 97012\n22833 80469\n20719 34973\n61085 93314\n6008 77807\n13982 22172\n11377 26491\n4358 59979\n88450 91831\n35748 79027\n27248 57055\n7807 88840\n72104 92464\n51457 81049\n39784 63257\n16314 46639\n19620 91347\n24465 43248\n20041 62380\n61395 77239\n483 65851\n15071 91818\n4400 77927\n13414 45755\n5442 28659\n42092 49564\n75140 98024\n69459 69739\n5516 62355\n58817 60639\n1597 91548\n88919 98082\n44277 65052\n34097 43518\n70503 93783\n37512 93248\n30211 32874\n24900 78289\n2148 29134\n4220 28148\n3069 55278\n17562 59799\n17093 36395\n5093 18183\n36872 78444\n21003 44792\n6202 91185\n8187 29338\n17576 26088\n65511 90194\n15657 28969\n24438 83262\n10826 70977\n49965 81992\n89359 94650\n665 60935\n55646 72529\n22259 69521\n3488 79863\n24730 28490\n52824 97028\n34582 97872\n4188 28625\n20327 97228\n1539 64463\n14964 59297\n56934 99655\n7661 66505\n59227 70160\n88243 91357\n71710 73529\n46389 99418\n20401 50999\n61508 75840\n43849 87467\n27555 56163\n55175 73238\n10953 74115\n54222 54684\n25556 61810\n24739 30875\n48358 49767\n32105 83902\n8210 98126\n56088 92744\n6169 22475\n10241 33984\n11136 44707\n37296 89979\n17506 90752\n26617 84630\n22733 64000\n2325 68734\n6514 43361\n29478 31446\n86192 90106\n23833 65855\n6673 67376\n23109 99841\n33286 38409\n39592 70212\n39881 49662\n31365 74593\n22139 26554\n46316 60656\n41133 69511\n4610 35755\n8066 48650\n10580 31023\n10227 15722\n21346 35989\n58971 80507\n15079 58016\n3820 51330\n8100 50759\n14553 38043\n56460 68367\n6333 24943\n44944 46693\n81929 92666\n68317 92513\n71094 92055\n16199 20299\n3852 59519\n2361 31621\n38099 43336\n31253 54359\n44410 82912\n15947 74591\n7211 75078\n36053 39901\n41310 53354\n67399 71240\n2620 25400\n39891 51925\n34314 97140\n62362 83631\n51502 70569\n14417 68104\n68453 94693\n1483 93359\n64460 66153\n40644 54718\n77379 95191\n21645 60851\n24455 39464\n33240 33604\n6494 36575\n30862 86486\n60072 71754\n12579 57031\n40877 55765\n16165 26950\n25086 89316\n11004 79591\n8906 16731\n9381 63708\n19618 51062\n56331 67432\n8128 75201\n18076 76900\n1979 46629\n34749 62021\n3903 24572\n34039 49739\n34113 60834\n17455 37989\n44917 98782\n11116 60161\n25080 62869\n33936 76105\n14873 59881\n1560 31598\n10248 75334\n49474 78872\n47819 85063\n23435 36937\n27263 41069\n81823 86558\n7108 45641\n27775 92677\n34772 72501\n38960 61073\n9726 42812\n41576 63884\n10214 98774\n22789 36303\n41102 89649\n7943 47412\n4548 19078\n11657 79290\n44039 82238\n64185 99521\n11807 99829\n34836 47244\n72729 86955\n5809 12771\n6963 59629\n20274 21422\n87486 98818\n11009 71494\n29796 82517\n66134 74509\n12291 44747\n2993 75075\n9593 95188\n31243 60361\n20901 31575\n21782 55902\n65538 81255\n63973 71623\n50581 82629\n40303 42954\n70448 91199\n43559 82010\n6131 93971\n63497 77018\n38184 85033\n18483 74054\n41928 47261\n18349 25077\n30243 33510\n80108 82443\n19462 38679\n28520 91935\n49869 91841\n60827 74990\n7516 82817\n17055 51759\n8228 75968\n20633 30046\n43815 95313\n2364 78620\n1753 56808\n17428 34374\n60047 85858\n11984 45436\n40433 83734\n19339 65185\n17283 56451\n77675 79413\n12728 83575\n40492 47244\n27846 94516\n17772 60564\n52191 97550\n14372 34317\n14588 91491\n52592 85184\n3405 92685\n3419 43066\n1836 21615\n32171 32647\n51395 79644\n3296 19881\n22869 77437\n14966 89394\n8540 70390\n35988 78768\n9327 91832\n35585 91706\n44979 56027\n47979 93669\n16921 58075\n65925 97769\n47153 68007\n38626 51086\n71605 77558\n29790 61501\n66547 76224\n49964 89828\n22899 48100\n3998 8845\n35526 80060\n65416 87924\n6562 27847\n28049 39586\n55121 95185\n10726 79244\n2146 52604\n66696 70815\n40475 47968\n9147 44495\n42967 97177\n25449 96980\n66072 88406\n1553 57463\n25074 90421\n61238 90095\n44659 48000\n41811 80789\n90232 90348\n9781 71288\n10286 70640\n53037 62695\n23039 93390\n7867 89073\n1498 91775\n41604 94070\n51165 91359\n7322 54862\n86642 91021\n17938 28579\n26116 38033\n52562 54980\n52380 94977\n6926 55709\n49766 80946\n9430 55602\n22327 23651\n29398 96420\n59736 80399\n52028 79281\n32673 84332\n10030 16357\n60837 72509\n38506 66598\n4847 33292\n77688 90221\n33816 78336\n87328 99595\n24423 63169\n59217 67856\n27239 78372\n668 17679\n24752 93554\n67040 79161\n13310 72168\n66031 84277\n16035 23580\n40097 94024\n31895 65070\n1231 54129\n42123 95468\n10686 14125\n11200 66053\n41013 85921\n9598 49685\n36235 89083\n14578 53284\n3717 47445\n5214 42219\n51819 73244\n18574 81180\n2929 41577\n19697 70041\n1775 75617\n13757 90722\n6947 75921\n23200 65097\n69246 72460\n35537 61524\n28347 97445\n60462 63478\n17539 89219\n18161 76497\n58617 63761\n70257 95375\n40272 65738\n50551 92160\n86572 90482\n32210 78466\n7178 49355\n22136 69185\n19715 22479\n28341 33304\n47712 52299\n5117 50688\n52178 68789\n17283 36994\n45279 52103\n16710 25193\n22419 41147\n6051 91439\n25597 83013\n65148 65416\n33352 62723\n28129 98281\n19955 85431\n3621 20170\n25884 37321\n5336 55018\n67266 68636\n21463 93305\n17278 79122\n25659 93998\n54595 76371\n17873 64470\n13097 56905\n18943 50699\n1253 28498\n91207 99915\n10642 36138\n6299 64221\n48541 96924\n45974 87947\n47122 62416\n16751 19301\n50976 55217\n64551 74787\n59346 98387\n43400 46395\n11082 33124\n47066 80173\n3781 49972\n65201 99426\n87263 91645\n40017 93344\n12797 28861\n39388 98275\n10631 19900\n52509 67720\n19089 79104\n11063 25207\n4018 93007\n21344 60000\n18660 97722\n12029 79581\n9026 26667\n43146 63119\n79109 81331\n37443 38170\n31908 55200\n823 44766\n75883 86815\n9462 49244\n14186 94222\n19300 46038\n17588 52583\n19693 70749\n25626 52129\n33908 97568\n40979 44810\n59853 98722\n40019 78373\n26105 28560\n30186 53028\n11248 60384\n37766 62547\n29749 61727\n25560 34642\n19015 75408\n33908 41075\n47311 72445\n94627 95092\n9634 75934\n62651 67956\n28649 66033\n68747 84428\n79401 87767\n44197 80421\n38603 65694\n76650 98218\n23928 49067\n87662 87956\n54124 70838\n28952 33852\n4580 62655\n28335 67040\n28727 45605\n10034 15548\n72794 76273\n35950 59273\n56953 59924\n2405 19389\n61319 72331\n25222 81588\n74638 76249\n9184 14338\n6792 12271\n72505 96878\n15037 66826\n79932 92306\n3647 16303\n22366 41008\n65459 67710\n29577 31597\n3127 57597\n11066 32867\n25130 39735\n15626 30414\n35399 93154\n48125 58662\n12902 24694\n20026 55503\n28956 91859\n4027 23113\n58070 63331\n39048 83683\n46971 54208\n24655 58518\n14453 17630\n16700 68464\n3206 12992\n26431 98632\n93175 99525\n17683 21727\n44526 81952\n20145 34808\n59954 72279\n6826 15328\n34144 82221\n45034 54140\n86569 96116\n43645 87430\n25039 61350\n41913 70993\n12944 26976\n137 6201\n33179 74083\n61677 74485\n63892 79533\n22181 56169\n54737 99771\n55032 76041\n25730 42330\n2115 66301\n48057 85294\n87873 92108\n59741 67051\n3878 36251\n87776 91755\n60363 72737\n15424 62727\n43740 90236\n4224 58062\n35649 97612\n30206 85490\n26758 92587\n11864 66950\n9564 48140\n74431 75040\n10020 26774\n65777 98245\n6277 85760\n30805 59885\n15595 47296\n69609 75547\n5003 14932\n12537 74376\n8971 97714\n2234 75491\n44791 53355\n3357 83826\n5387 32048\n26044 97250\n28021 47965\n79089 96198\n48366 80912\n16293 37970\n24355 40067\n63414 82869\n37201 58746\n5717 17700\n75374 98924\n35790 98210\n18750 35740\n13721 65657\n13124 44308\n89492 98426\n38110 62390\n26157 92687\n26525 33164\n36026 44083\n80538 91556\n67434 76712\n42319 60825\n503 6966\n33027 92530\n15743 74703\n12058 27288\n21467 92322\n40386 74659\n8039 67344\n11131 21028\n29237 54364\n41367 88597\n18187 59970\n23658 86039\n5130 70336\n25290 27640\n91344 95970\n26769 43066\n2305 72712\n56508 61682\n60811 63650\n66973 69528\n33597 67799\n9476 12720\n26476 34589\n63584 68817\n10874 99366\n10137 27574\n26717 70892\n36943 54430\n4691 80634\n10268 68591\n10840 31912\n37936 76812\n84020 93101\n33209 39212\n67233 81746\n1100 80279\n12518 35106\n41878 59114\n70581 91270\n16 13362\n63127 66414\n10189 79428\n81826 94368\n62187 84522\n21928 27865\n6174 64630\n66892 86686\n45432 50426\n70741 82928\n3406 30533\n36804 75115\n20387 26990\n43090 79454\n75575 99507\n27640 60444\n16586 84325\n46946 47803\n20947 71348\n19798 68542\n86040 87572\n76374 86221\n66223 87767\n4685 79864\n8368 41096\n61419 97360\n14900 73831\n40775 67332\n11080 13035\n24452 93487\n605 19835\n85729 97631\n21312 59069\n30356 37973\n33945 63230\n52710 69981\n5125 53049\n85947 96192\n52135 57939\n73140 73213\n51263 63164\n17980 90150\n40173 48854\n2083 97441\n2507 6565\n31517 40162\n1460 54989\n10371 15795\n49024 59631\n6902 49633\n50227 51115\n48334 80014\n25445 90076\n41321 75630\n30775 88363\n5281 86788\n31916 80125\n81714 88388\n55830 99757\n67884 91381\n94932 96831\n31222 58587\n11084 45791\n35080 61690\n13685 55535\n66857 99977\n10999 65623\n10981 66432\n26931 53533\n73315 99358\n30399 89172\n3168 81428\n25554 70930\n1418 74597\n34465 60240\n14041 67069\n101 37865\n50681 83951\n17847 58305\n28591 73116\n35646 91433\n41687 58940\n7549 95458\n15892 89828\n28179 73656\n58384 87621\n45126 53586\n38009 84280\n32361 41884\n53341 71374\n52591 93437\n61428 72638\n45057 59838\n19944 65649\n723 29404\n11420 59226\n26039 69082\n26126 99812\n22697 80337\n1690 45323\n52031 67468\n11393 27791\n79019 96226\n38723 93594\n50070 56693\n14152 60331\n22545 48747\n14877 32783\n63443 95122\n8565 78725\n17576 48907\n7123 82004\n29908 94804\n29862 62076\n50804 98522\n7806 60127\n57069 93244\n54086 75779\n48937 82909\n57199 82939\n64430 81349\n50937 55019\n20841 29667\n34653 76864\n8783 38399\n54677 57942\n28587 78438\n22038 74516\n42036 75541\n16834 72388\n30374 68890\n10134 73140\n61527 73979\n31099 32021\n6122 39493\n63516 97874\n25347 37139\n39261 52842\n2855 37058\n15207 28295\n14742 46527\n37194 53850\n60066 87411\n21838 52190\n5880 48131\n90985 94021\n50924 95170\n33639 76417\n52118 63342\n31646 79322\n78226 99969\n60209 90028\n11885 98458\n42485 51607\n71955 74314\n2460 56715\n63994 70535\n38778 61230\n2840 41473\n51755 94142\n12792 66888\n88285 97288\n27897 87760\n18046 51947\n56656 92655\n69194 98298\n9008 68480\n67698 95391\n51509 68087\n4269 75966\n62236 70466\n54626 81246\n20084 50356\n5959 80493\n34912 98035\n20234 53448\n831 28880\n24349 64481\n48117 86645\n29232 34736\n21965 61980\n18730 21715\n6766 85336\n25837 73483\n29358 96480\n76945 91114\n11603 65951\n30247 83340\n50630 65880\n60583 74910\n6899 15465\n58262 69259\n12665 61491\n64928 93059\n87367 99132\n13964 97969\n29945 47582\n44082 66995\n5476 61235\n10126 75694\n54107 73369\n17218 38197\n17107 99134\n62041 71574\n15857 56879\n10634 11671\n22087 58920\n42851 49988\n48847 68255\n20437 78045\n16884 97852\n10125 43007\n52556 83679\n48772 95275\n24960 41484\n7166 30668\n44969 59288\n22061 45833\n22401 96594\n61819 94295\n974 87052\n20062 92490\n5668 51234\n19787 77301\n17621 59824\n48913 51348\n38447 65876\n3102 9081\n4669 12320\n76996 78907\n26404 58549\n22 69282\n64914 83687\n59954 90228\n87727 93277\n62740 91178\n48331 50311\n21907 55303\n5563 29667\n28911 42750\n30437 73214\n12969 87630\n44466 77720\n67801 91744\n65102 68435\n48894 72374\n37400 40879\n19405 72282\n24152 59654\n24701 66570\n49147 72464\n7308 35259\n1076 86263\n27251 59655\n11374 42820\n81822 89730\n21426 49893\n6111 22153\n52641 94119\n40619 82638\n8044 33231\n45307 70089\n35659 37316\n611 96169\n18259 20143\n53537 55113\n2485 41852\n47257 79209\n5476 94563\n22809 66708\n24087 64869\n29619 81121\n27773 61152\n32332 40418\n10671 16176\n38309 71330\n11103 86755\n46400 46560\n6491 34729\n60608 83265\n54980 76263\n66767 82493\n386 45328\n14335 86692\n45817 79688\n34595 44688\n34658 94252\n38885 83749\n24882 67068\n17314 72465\n9463 41897\n68293 80115\n2351 13973\n45074 80766\n33054 46690\n62577 83448\n257 77956\n72326 92949\n76347 83812\n64117 67846\n11550 76925\n28598 99867\n7435 24074\n11574 87537\n14443 42443\n2128 85245\n63866 67731\n46005 96447\n36798 88591\n35113 88046\n53659 83504\n52892 80563\n6253 82447\n7343 98924\n4456 78106\n24112 73053\n46786 55736\n82508 90008\n16571 71270\n18561 31571\n70594 82791\n16346 25920\n22620 45882\n24631 90610\n62091 95957\n44989 96991\n22432 85720\n35927 56771\n40344 46473\n16915 81984\n30432 66530\n51662 77138\n16407 23773\n2246 66790\n51681 76692\n76852 97854\n23195 78535\n60928 92014\n69035 95982\n28055 75537\n82566 83325\n86708 89381\n257 51496\n74536 85471\n6738 13463\n82546 98221\n30802 74958\n5871 86277\n1685 98493\n31524 43560\n10294 85210\n3051 30015\n41353 98266\n85466 99237\n5602 50536\n30677 68741\n17525 49274\n20865 43089\n49225 57153\n11088 40901\n32296 81409\n80383 98657\n42495 73930\n40219 62353\n53137 66616\n9298 99079\n63854 68345\n40947 87458\n66504 70093\n47043 60386\n14793 45510\n12839 14210\n33443 66495\n29145 57395\n38897 63384\n45711 62848\n37864 52644\n22780 67486\n6449 94479\n1373 64667\n65410 86213\n2823 55743\n5007 97264\n37604 84366\n35 25813\n4801 73857\n57310 80588\n17879 45841\n12884 97574\n1097 99110\n29202 99449\n27370 68049\n10595 86994\n24364 79587\n2486 87807\n54884 63188\n96147 99664\n33798 41237\n52563 71224\n51219 83360\n7558 39282\n14269 56279\n69057 78364\n485 32926\n44314 87146\n10387 70360\n7811 64966\n19595 50915\n54971 67670\n59686 74605\n17584 66577\n14003 56258\n10116 18550\n27447 40208\n40052 70491\n4342 95762\n27518 84116\n36334 99281\n40427 75619\n2489 22538\n24243 32542\n18569 99278\n4405 75815\n53500 72353\n41361 44802\n7584 63581\n59453 88296\n23664 95421\n36964 89671\n76470 90190\n35236 58384\n25488 49572\n47074 86791\n54864 85465\n68484 69365\n775 58922\n10273 58921\n4731 62351\n8063 13086\n3623 66711\n75826 90507\n44087 50358\n3335 71093\n69442 78916\n59874 87744\n44792 88614\n66775 77455\n81065 87368\n12353 12498\n32727 87819\n64183 72152\n10405 76228\n66728 92720\n36915 42641\n996 83254\n5683 14206\n27779 48090\n1578 6885\n22203 37977\n26529 50951\n32535 38065\n43993 98453\n31867 55213\n21217 59750\n3478 35239\n51072 68277\n5837 82588\n73261 75373\n21930 90487\n27904 39911\n52810 53893\n16313 30948\n18518 35883\n51584 92358\n55802 93553\n56336 87633\n8301 27693\n39499 52758\n1307 39244\n80040 91307\n19829 96193\n901 88172\n7804 61212\n25616 67372\n11932 60539\n21865 27119\n30531 75931\n10534 67291\n44086 79612\n19965 48439\n5611 7868\n1285 6311\n19046 61289\n33636 94543\n83269 87829\n68581 70808\n66705 81050\n66799 97690\n27665 45682\n16666 25858\n175 82906\n35941 71070\n29003 88029\n15862 98900\n21258 65453\n73504 95967\n40106 65139\n11470 92782\n16896 67081\n33860 84864\n27389 87737\n967 43364\n44663 95195\n36959 46294\n14861 66185\n58555 69955\n86997 91096\n18575 62777\n70899 95618\n5967 65468\n15619 23298\n11548 27578\n29832 79897\n59996 70012\n57715 85839\n21883 38625\n26663 33996\n27043 66596\n69278 95324\n15968 33441\n11742 59355\n64939 84336\n77677 83245\n265 83915\n65930 74938\n16857 23500\n1979 25125\n26817 62196\n66477 89441\n33437 79111\n20586 49238\n24875 85776\n64400 68113\n14416 72043\n10821 28455\n43773 58480\n32919 79285\n58278 99070\n10866 81236\n3394 64741\n7496 70380\n17727 27663\n92043 92377\n11550 41427\n16902 78083\n3841 43137\n16635 31875\n2052 97265\n36567 38847\n4489 75349\n82101 97827\n32140 44581\n29337 34824\n62496 93276\n33960 69687\n43815 68816\n48941 72185\n24557 50621\n9527 90476\n54993 74521\n85804 96492\n74301 85087\n12944 14306\n29343 91164\n9209 88324\n43724 71466\n44993 96394\n14168 81989\n5696 24752\n67541 80329\n37139 87485\n11605 60395\n16324 75707\n6998 53265\n12261 88032\n14791 87649\n2020 65484\n54659 62399\n16010 58112\n30712 84897\n45789 81656\n21669 60596\n39366 92815\n67336 68286\n32410 73551\n57376 75246\n13009 39180\n29469 48275\n82018 92753\n14156 28727\n2409 69179\n17782 81452\n17717 89331\n7004 20216\n52288 90198\n30154 89202\n11825 70824\n46941 89476\n72375 96126\n61420 94135\n69281 89136\n6694 11788\n85733 95299\n68199 89562\n49174 69234\n60420 62536\n50808 66872\n6409 35038\n10841 58051\n35607 45565\n1881 40795\n86741 86887\n3793 45066\n20079 26897\n31388 42722\n18001 30448\n58027 82873\n53669 76918\n32564 97234\n86726 89994\n10846 46423\n75188 82888\n5541 66366\n60500 70843\n2018 36808\n50409 95440\n1461 44026\n82669 97514\n18531 23969\n13964 60891\n25254 71267\n80667 90743\n42328 98101\n44038 89005\n4662 48864\n33105 64901\n57252 89575\n32816 85853\n19539 91737\n52532 53236\n15183 46741\n26797 42599\n11322 40848\n43462 47962\n22714 30747\n8031 30752\n7512 16246\n32493 46589\n38573 75314\n8867 50464\n34471 65135\n10364 78297\n10948 64336\n20208 51308\n33774 58838\n3303 14227\n26805 39179\n76950 89714\n19481 43139\n9229 49877\n61815 94910\n2766 20396\n48687 64202\n8123 69722\n23796 47385\n35994 48056\n12030 62463\n45250 50079\n69422 74685\n25546 62257\n17514 46560\n56826 84387\n11399 69690\n47439 60731\n18530 79222\n12627 73414\n48977 96201\n60729 97934\n34680 44610\n12536 61941\n4643 41920\n1437 37922\n3959 90229\n5704 81924\n26326 86450\n77045 80430\n27222 90441\n2870 29387\n21596 92304\n40732 75461\n18587 47028\n3178 46363\n53700 84417\n30452 73627\n8583 73050\n59254 71784\n34961 54698\n43861 68483\n2333 84337\n14475 98077\n52928 99569\n4388 10593\n5245 63768\n18984 37785\n17934 88926\n13859 69649\n7799 18152\n19708 95184\n39707 97891\n89863 95491\n61990 87623\n39031 97737\n8558 13250\n6104 99927\n33750 98220\n4605 63704\n49180 60787\n54246 86727\n30661 86505\n18195 92427\n59929 74468\n78247 80470\n49528 55433\n43277 98853\n9850 70625\n18468 87192\n16442 41221\n2789 83347\n79875 96030\n60787 69230\n55102 58616\n45631 71579\n24342 48721\n11323 17249\n9877 37410\n1789 47615\n70842 80742\n55008 97054\n18696 60826\n42373 65141\n11583 87640\n65764 74288\n24557 69860\n43124 87060\n24479 26363\n44718 63036\n8557 72547\n49022 57250\n58832 62819\n13573 67168\n31938 54659\n58274 78572\n10526 42433\n85031 85953\n43582 51871\n2546 67992\n25447 96696\n5645 46309\n7928 42600\n17361 60687\n2158 70953\n4661 32029\n8947 81591\n32420 86425\n86908 89643\n6980 96038\n12459 94204\n23086 86288\n12084 22560\n3006 29124\n94354 96941\n11379 55209\n26801 92831\n38384 79174\n22162 75269\n46756 89390\n33598 89087\n63434 79285\n45110 99175\n69309 95869\n326 99322\n55619 73936\n6280 10614\n22504 89454\n7387 62967\n6498 35080\n955 70783\n14485 52837\n18328 91159\n43880 97688\n41771 52333\n25823 96285\n34230 84284\n65642 80877\n32787 75137\n21383 80145\n47650 61927\n65505 92502\n12521 56242\n6283 31530\n5562 70291\n1545 73782\n63145 68333\n54603 80479\n38107 54453\n52400 95863\n41689 42043\n90751 97080\n10669 18741\n95056 95104\n27459 98647\n19783 60324\n793 50730\n34442 53991\n43830 84860\n4935 40386\n51027 89689\n19418 62321\n10491 80661\n39387 98324\n5585 97425\n15041 86015\n17899 46257\n31660 39872\n67508 69202\n3375 57994\n87162 90882\n24863 79220\n52551 80577\n51098 93800\n49747 63999\n54264 93995\n44460 79490\n1162 13567\n46334 76529\n62560 66372\n81888 83483\n57719 75166\n24052 36526\n49652 59970\n21404 23738\n43408 45420\n19685 26380\n68369 89765\n14978 53835\n6069 68794\n15896 70691\n1523 90743\n12277 83263\n19748 32124\n72878 81631\n16021 74997\n10813 99056\n6766 96670\n37701 73522\n4057 61400\n7645 19398\n25187 65983\n23735 67722\n13675 16980\n27824 42162\n30705 47942\n48993 62716\n31986 35987\n73344 99877\n21414 83501\n30353 41480\n1900 36017\n81709 97058\n32119 66452\n56118 62679\n51778 95052\n30503 51169\n25703 83217\n6695 31075\n23502 90036\n50354 95006\n64553 85529\n78 74413\n31576 87950\n25422 57888\n14497 23173\n44028 93002\n4006 76629\n8571 94740\n26731 61607\n32303 96592\n89965 98616\n38299 76003\n29244 61211\n3827 12305\n32258 56453\n49783 74056\n40444 53386\n66654 92635\n12133 58733\n52491 96492\n31560 34124\n19579 67046\n3458 8078\n48949 69524\n43569 56190\n59200 61674\n24686 38635\n12046 55248\n63358 74686\n15735 91782\n14817 89038\n56326 73345\n6816 63544\n86751 96782\n37491 83776\n84452 87055\n28075 96830\n30077 70751\n34846 91229\n13925 77696\n33610 54209\n90782 91155\n59747 75168\n75818 98640\n17400 23533\n23832 31447\n15196 83249\n67551 72555\n40241 69821\n39380 84854\n19459 89129\n34431 44911\n65265 96895\n6111 54510\n24093 64961\n4910 20571\n8772 69808\n38536 55943\n38029 45159\n46176 54439\n28186 94693\n27385 91411\n25942 62423\n3762 26847\n12799 84782\n72545 80492\n23708 60852\n28668 66338\n78915 87497\n93530 96530\n57690 74972\n70811 97142\n34381 82492\n29041 29898\n62613 85961\n28291 70587\n69614 82728\n26133 68034\n16887 96496\n74728 96865\n25268 33751\n24653 59874\n18204 96299\n10809 99029\n46377 95210\n17935 36438\n28396 90392\n3716 53638\n60406 92211\n1580 7278\n15656 27559\n32804 61823\n14451 19585\n81129 94078\n34545 80139\n24062 44587\n34642 96427\n531 5313\n12110 76266\n59262 64274\n62483 91939\n15702 28640\n92082 98803\n59050 94193\n22448 42379\n39214 71145\n31109 56318\n61680 92371\n44899 99088\n85086 90676\n5746 16052\n82194 93715\n29081 77874\n46059 77026\n45250 85001\n24166 71226\n49055 57469\n9796 45120\n52598 76698\n25912 32663\n54872 68861\n39428 91924\n57624 93232\n71088 86147\n39395 96606\n47124 49401\n10292 82572\n44549 79850\n43872 86056\n10635 87892\n69334 84708\n80644 94821\n16553 20428\n4356 38868\n45455 52778\n6610 7663\n17088 78108\n67398 94697\n26466 83122\n57159 78713\n4997 13075\n9868 18650\n29262 95741\n33781 55125\n4106 9273\n4673 37477\n28009 85392\n3608 47360\n33040 73367\n14708 38500\n25470 25959\n2127 75562\n12742 30396\n3849 24018\n24638 24903\n4892 40562\n32146 86962\n12416 55072\n39010 51999\n22975 58210\n7145 12613\n6453 53120\n66760 66835\n7481 45343\n39950 91745\n86309 89717\n68327 86182\n38686 56021\n43354 78402\n23296 55247\n28616 93387\n7626 55427\n8693 48842\n72761 76976\n43619 52140\n23155 38435\n30812 70359\n53866 63595\n56341 79621\n59493 94014\n56840 71970\n48265 71766\n9086 68966\n69967 96760\n673 31348\n13841 77248\n13619 45218\n50599 83510\n48830 56485\n48940 96290\n10350 18849\n4201 27645\n35739 76579\n49489 78324\n68013 72246\n54208 55251\n1211 14815\n30895 96111\n8306 35659\n24651 32094\n17359 45512\n27486 56352\n53 30860\n13013 13261\n54019 85632\n21430 39984\n45645 91904\n29324 93741\n18763 46103\n28204 50272\n36912 48047\n16032 61166\n41720 76019\n26306 49545\n60197 96019\n8872 14121\n29182 56916\n1181 35649\n21444 69590\n15126 81591\n36580 89302\n3599 84202\n47692 64008\n10323 57778\n18506 34121\n15717 22069\n27934 48171\n35705 58942\n57489 89830\n40428 44437\n31068 40977\n48299 94422\n5420 60761\n16511 56726\n75747 91050\n42591 50222\n63498 93046\n23619 69897\n5288 92627\n53434 70546\n24815 82947\n62315 70971\n72531 91798\n18868 99186\n11148 29338\n70715 75790\n15182 49256\n37707 44485\n3864 97953\n8245 59722\n72079 78363\n19223 65705\n15697 82956\n5421 73884\n18957 82655\n28058 84705\n66852 76338\n39961 78354\n24063 97882\n5654 38595\n44105 81692\n70298 90513\n16130 33184\n41470 76545\n16020 99611\n48971 93262\n55771 99992\n54380 81970\n5235 94214\n18652 67760\n34002 82359\n27544 48584\n21999 49711\n12790 34757\n6826 99196\n34392 88204\n60710 95649\n32663 76172\n37623 58726\n5847 23847\n4448 90796\n7011 23980\n28632 71253\n23611 31349\n2405 89958\n23214 89508\n6169 90407\n63961 99489\n44658 68884\n80966 99965\n43307 96854\n10390 15203\n3728 8411\n7908 99776\n76620 82851\n48050 72435\n19428 38859\n65193 65771\n33411 94174\n62231 78646\n25335 50665\n20269 91043\n47199 76912\n12995 65575\n6795 89480\n14364 60411\n9442 44893\n18577 72448\n23695 44618\n16386 42690\n5538 97350\n11078 59873\n6687 77860\n69245 92476\n78312 92022\n28131 87848\n18285 62184\n2720 58336\n13651 88077\n2356 21113\n26244 36133\n11894 18314\n7581 98154\n43344 95271\n15374 59900\n72770 78130\n66602 81018\n2561 22707\n17434 84850\n25949 80943\n40782 59873\n72623 88666\n34587 99518\n2167 78465\n38976 67731\n28969 61014\n16682 71889\n7265 72951\n52085 87154\n32675 36219\n28154 88026\n26639 46812\n1056 90941\n73493 95122\n82991 88664\n39959 73491\n31802 57000\n49176 80805\n30606 44892\n60978 99639\n80206 95878\n48068 56940\n1016 16229\n80439 97527\n70737 93135\n47150 61951\n54295 93207\n31099 48591\n68486 74052\n51350 54000\n84277 88030\n26062 82104\n13783 80268\n702 34854\n17333 43247\n16108 63164\n13689 69591\n26942 78308\n57517 65467\n56993 70692\n21012 97249\n35326 59030\n21957 33517\n35006 84489\n20135 86579\n46094 95068\n68196 82795\n62089 81707\n54807 76707\n8152 77022\n45035 64470\n6062 73373\n7120 67614\n38657 70871\n68975 99264\n55958 88000\n61398 80756\n35219 91590\n13554 76504\n52070 62223\n59926 69587\n13410 62682\n36795 50824\n27210 70942\n44433 82154\n42791 47782\n23491 87197\n16379 66948\n36409 43039\n67845 89026\n28624 61863\n24567 89830\n49656 91116\n25188 89651\n10174 61228\n3669 13476\n80720 87409\n40205 51027\n64181 94085\n5033 44846\n10730 59703\n36157 57584\n55472 59291\n20864 70500\n53181 60708\n79971 89012\n13461 77794\n15689 31596\n41539 81056\n32185 89030\n8791 52795\n24959 79167\n62020 63340\n9770 11107\n7781 36284\n43489 88935\n29402 91119\n1890 26877\n11722 84921\n25026 39684\n25284 71904\n457 25197\n35019 42137\n24316 96931\n15008 20985\n55445 89504\n8482 48530\n28160 82283\n12355 57333\n35604 64145\n11296 56710\n42214 93797\n65357 71691\n66549 90435\n29390 49861\n1769 32357\n78788 96189\n30987 83275\n42246 49696\n14346 32842\n6509 75709\n61679 79830\n52896 71482\n54124 78329\n41141 60905\n37007 46035\n7019 72148\n17754 37729\n32095 42717\n69789 69928\n76966 81231\n31288 90472\n30439 43799\n20987 85708\n40016 76982\n26751 71580\n32457 57250\n39319 85054\n84 4418\n75859 91070\n25831 69212\n19592 72242\n43654 52276\n87667 88530\n27670 47844\n48525 97630\n13252 35151\n25853 64959\n1638 82327\n52504 93738\n57458 98177\n36349 86071\n90722 92652\n9737 69589\n20231 83125\n13843 79814\n19146 25108\n27217 68571\n72018 83019\n54857 56936\n14034 33665\n26160 27061\n65873 74774\n81685 92720\n57169 93381\n7572 55955\n13848 51356\n68271 82802\n97390 98978\n5529 63270\n17328 31102\n19876 61914\n3350 28090\n37456 41519\n2051 67972\n68759 79154\n20689 75103\n27846 29406\n15435 54386\n62704 68778\n59383 72279\n17010 66029\n15880 28785\n27627 47711\n12298 79590\n42750 57623\n50962 56140\n17496 64587\n20966 79000\n26467 54591\n52727 76309\n24232 96112\n52787 66654\n43290 81252\n17243 86651\n11599 88460\n75386 91617\n14794 44374\n12483 78042\n38569 53682\n11483 53745\n44976 85456\n59627 63028\n60980 74449\n9003 57034\n22640 47260\n85709 94018\n24882 85010\n21802 55835\n77596 93036\n36279 60390\n27272 93610\n45745 92172\n46774 65302\n16313 75846\n25759 46029\n43632 99214\n979 45823\n72643 99041\n36414 48643\n1303 91920\n34068 58326\n1173 31171\n10369 52437\n28181 62495\n44431 59714\n64601 64700\n23909 31402\n81160 90523\n13912 21389\n66498 76150\n10797 54032\n172 18673\n14291 42672\n44490 85377\n70245 91844\n54413 78912\n21231 65688\n15650 22074\n73871 94128\n11160 25909\n46194 95465\n13728 41228\n8748 76307\n45657 65327\n70551 91781\n24183 85101\n32074 66760\n7057 47210\n38295 50271\n72381 93667\n13839 66777\n36333 73956\n62998 83813\n30722 80370\n34648 79502\n10046 50743\n16385 47137\n76394 89839\n14681 74061\n30925 53178\n9166 11822\n50298 90570\n33223 94716\n54901 71074\n21436 80101\n49892 75345\n55422 86775\n5095 83963\n36207 74529\n85174 91659\n3869 24896\n41265 43827\n69302 79654\n43704 51273\n12034 19588\n5296 26112\n845 65564\n40876 66242\n34008 69679\n67617 69347\n30933 95126\n26326 27534\n36177 94208\n75832 88567\n4706 44407\n41876 62538\n30333 92388\n29524 98803\n78769 80309\n6670 26236\n20120 21845\n6358 70804\n24052 50957\n1932 45361\n35484 59008\n32031 59861\n16024 20075\n55325 66296\n33249 85372\n43110 96242\n8083 58751\n2114 74694\n69427 90067\n41952 44852\n27185 94056\n29157 29356\n35686 78839\n77777 86854\n2601 72024\n36771 84295\n48823 55092\n56580 62891\n18587 56946\n4666 20748\n1052 82998\n49500 66496\n47363 99301\n44149 95353\n69164 80211\n67742 88687\n65922 86711\n55622 59275\n20630 75093\n89538 90112\n13163 88036\n34646 36863\n12757 83203\n51432 99528\n13564 33932\n26902 46440\n11192 16129\n2112 4965\n57550 79422\n25162 74169\n90659 90690\n53735 95953\n3500 79702\n40057 40087\n45362 91918\n48303 53918\n6271 27708\n7157 68472\n7629 99342\n46022 74866\n28426 86758\n8519 22785\n9769 26155\n28021 47211\n29426 87154\n28573 67584\n36698 92285\n17724 95884\n21270 98082\n8530 30516\n10639 67775\n31737 41346\n72924 82028\n29315 77642\n23561 54074\n14153 70874\n28855 32866\n40360 72517\n90538 93131\n16856 58444\n7345 24093\n67904 76817\n54945 64056\n79329 81049\n10765 91947\n10411 75033\n47717 95821\n8668 40469\n33983 63836\n75122 89318\n453 73909\n29904 82549\n53842 76930\n38175 72040\n12180 97301\n19419 79558\n57010 97303\n22301 50939\n30612 32414\n28191 99538\n26006 34004\n44537 70988\n50941 91826\n25869 84562\n45134 82796\n31987 32473\n78747 84867\n65972 90409\n13637 33045\n42992 75439\n34788 73158\n19060 73656\n40745 78231\n60538 84869\n77121 96196\n61539 99380\n6631 23329\n27090 98300\n24335 63621\n25532 49838\n30055 32542\n3047 76428\n13700 17976\n11650 97489\n48964 53184\n18069 80515\n50252 90914\n17072 46485\n31991 69000\n1566 97512\n54530 89658\n60255 78359\n10013 65145\n17138 30196\n96175 99934\n706 87606\n34498 66773\n7112 53810\n53414 86819\n42661 69480\n86219 91875\n63269 72019\n42124 59117\n69598 90926\n14778 16146\n3119 20642\n80498 83395\n30692 98945\n53805 76856\n31505 50121\n73125 86736\n2895 99289\n72480 95915\n19408 26549\n61226 96386\n75272 95589\n9988 74438\n82963 85018\n21314 75581\n2027 57959\n2302 84187\n2998 4182\n4182 67133\n11861 23487\n44049 45671\n24342 47345\n10504 57197\n21720 81991\n55237 73287\n88119 99033\n11838 55462\n42473 74791\n62844 74023\n30047 51334\n17849 86426\n5672 92310\n34768 75763\n31866 39760\n45724 45774\n58805 74361\n81808 89150\n64956 76677\n28243 53434\n16480 46595\n30694 63832\n33224 99543\n40735 44092\n26845 47600\n63292 71233\n59954 98193\n30836 39517\n20179 73700\n59169 62177\n48844 56221\n28471 29645\n1262 18949\n1530 23866\n83782 90750\n45364 47177\n373 89628\n35743 71541\n72816 95406\n24460 47674\n4656 27064\n40027 74724\n2556 8970\n59664 84797\n10433 81222\n53069 90435\n59065 68381\n37791 75519\n29459 74254\n34696 89276\n12749 27808\n45445 81434\n22293 39198\n95628 99927\n22598 28097\n13365 94664\n33231 90548\n69809 94741\n12552 60501\n7619 64444\n10689 59954\n27068 99810\n7825 75255\n12187 29415\n90542 93258\n2954 99597\n35218 94893\n14908 34460\n88136 98123\n44333 71629\n45601 54079\n20400 45904\n30357 55485\n41799 71772\n5602 45519\n14486 89562\n63189 97878\n8689 37423\n9320 76376\n8184 39417\n46943 77462\n45251 84555\n54367 88636\n14047 25380\n25590 60289\n18745 97737\n15416 16112\n22318 96555\n2661 77142\n22630 83833\n1579 56739\n34506 34595\n8245 50002\n57941 75346\n899 50037\n46083 79162\n1869 62192\n14118 97166\n28777 89281\n20052 66919\n24671 48865\n15125 77936\n21192 84407\n38156 56407\n10862 50201\n193 36836\n16716 84244\n2207 45425\n72803 89158\n62567 73771\n70400 92122\n57985 83661\n15314 86881\n22818 57845\n80482 83101\n4884 61502\n23154 41456\n8980 39430\n16495 90999\n49875 89097\n10381 81706\n47442 92179\n60867 89568\n58816 89587\n43545 46896\n29567 66483\n89552 97700\n5062 90736\n5036 18694\n1525 56026\n62575 66376\n38556 56879\n33035 68839\n34197 35788\n10360 47571\n71195 83507\n13340 23840\n10000 86970\n71146 86374\n66911 71470\n3485 30697\n37478 53915\n5878 60731\n3701 51553\n74190 82237\n46817 85057\n25466 90193\n34407 74860\n1277 26984\n16354 56062\n9632 87226\n47362 67228\n79006 94782\n6084 33219\n4131 45575\n24334 26465\n11321 56539\n50553 71037\n48367 57456\n24662 82521\n26626 66060\n56359 92319\n25827 96750\n26087 49208\n31241 76384\n33111 67283\n7291 34537\n16931 59828\n5677 8950\n13735 66218\n46222 59539\n71064 95791\n22081 74580\n18271 55556\n74785 97594\n16563 90872\n13747 57501\n17302 87671\n39830 92841\n20737 23058\n27338 37154\n9529 94293\n29491 70141\n65850 87208\n62432 99577\n47919 92355\n62963 86089\n25586 73129\n30432 33565\n32769 71485\n46516 64176\n33421 86705\n3 31332\n15964 81843\n47841 71948\n1778 94230\n26270 58722\n22094 32998\n35905 73620\n90219 99962\n32807 38360\n64006 68973\n30728 42988\n12761 87136\n7767 58077\n8937 21199\n45130 95249\n36999 54912\n64138 75577\n27315 32069\n18605 94641\n29889 72446\n15832 64243\n48396 51240\n1783 66401\n45763 64170\n52986 74446\n49683 69910\n61098 72173\n8948 92492\n43884 88443\n13169 54891\n62402 66915\n73359 82432\n53444 83398\n21197 82528\n74480 85593\n54998 69980\n28840 32471\n13868 44054\n23590 43336\n2453 56553\n74669 87618\n6335 69612\n10152 43518\n46059 72563\n52927 94589\n48896 52311\n1651 4135\n1529 64771\n13918 95003\n36770 50097\n2868 42113\n9472 63988\n14802 51602\n6239 26509\n14500 86354\n1442 35853\n31248 99757\n2923 62273\n27804 76989\n3990 38122\n16139 78338\n40600 74854\n20277 69012\n45828 54244\n55862 76823\n23531 36413\n42224 97822\n8157 53043\n53452 99040\n32231 98510\n29837 34927\n53562 54851\n42558 85725\n83732 97327\n13474 42519\n8185 28549\n2410 29847\n3158 23478\n5536 11205\n20229 88184\n5140 39930\n28889 67701\n5198 33419\n13097 70957\n25178 93246\n26972 43434\n12304 97982\n3823 80841\n6366 28709\n34656 63065\n30327 73889\n7364 22650\n37279 40975\n66122 95852\n37128 75621\n29644 99213\n13199 13528\n3960 29910\n23708 42243\n55445 59760\n84718 94753\n29821 33917\n69520 73760\n41322 44281\n38024 82609\n38410 59910\n42466 49641\n16246 36623\n4144 51835\n67837 80396\n18433 25435\n1762 58070\n61933 89077\n59058 99966\n23396 61257\n49677 85686\n14827 25594\n25255 42049\n74197 82913\n31493 46367\n13780 58433\n70786 94395\n32694 85852\n5538 9985\n11968 94210\n27741 61976\n56885 72979\n1976 88298\n35666 64805\n16805 90616\n33322 78708\n34097 88311\n59747 79532\n27002 51286\n16316 49676\n10282 26636\n43990 57445\n75687 88421\n64028 95115\n4953 79440\n23927 92134\n37804 58989\n78869 86298\n10324 78568\n21177 29653\n12813 42638\n22800 79679\n64865 66019\n1145 34789\n14199 68854\n39437 87862\n57958 67124\n53652 80037\n4160 99725\n51112 65359\n37671 84280\n38623 53795\n25913 79832\n52735 95705\n10500 66922\n47933 49876\n32860 51211\n28291 83024\n51423 91368\n22639 79630\n36981 65279\n58811 92595\n3508 77078\n13376 76008\n57154 82786\n63875 78662\n4983 43756\n21696 43134\n52623 91293\n24326 24511\n33199 89268\n5945 48942\n81483 84456\n8180 24083\n5857 64531\n22168 52616\n25508 53834\n37886 57404\n64674 81325\n8777 38573\n23505 94293\n33154 73613\n32648 69998\n41242 87683\n66443 77065\n45343 87175\n67464 89716\n173 81647\n24829 90407\n15858 26816\n32064 59772\n7123 71746\n47110 85404\n14387 80943\n27838 37823\n38598 52788\n20608 56041\n235 90839\n69101 73038\n27227 81692\n38516 98623\n62875 84003\n37487 70126\n24690 43749\n56474 66944\n67781 91279\n6466 49755\n21852 83298\n18965 74106\n63712 89783\n21287 80975\n17970 98136\n41115 53266\n2002 58775\n42546 92315\n5898 93910\n18964 64554\n16665 49426\n25221 69607\n9880 55311\n15905 80548\n28541 62048\n17703 75686\n60538 64835\n28244 69995\n3766 70936\n27529 48629\n18263 44072\n39865 84706\n4521 38448\n1995 84231\n35268 90591\n4968 54395\n19571 26519\n14516 59529\n70619 93221\n2130 49781\n34713 99877\n55132 79545\n16977 67080\n34305 82802\n63834 67287\n29991 64907\n70827 99972\n20776 21155\n85732 98296\n53070 77702\n70930 96691\n46645 60991\n24691 53421\n43003 95125\n76396 86346\n2207 31351\n942 35362\n26812 70466\n1971 9509\n27884 67056\n50013 89791\n5745 15971\n8314 64680\n14033 95934\n55793 91858\n31537 79475\n59243 77799\n860 30205\n5374 34389\n2847 64347\n26720 57624\n15048 44722\n48523 51790\n7573 96431\n30219 99253\n58741 78650\n6940 22745\n77872 88152\n84601 88354\n9048 17374\n19046 33159\n3190 64596\n46923 78511\n653 68330\n65500 72602\n47237 87965\n42765 94057\n67843 71425\n44497 48603\n53393 70685\n44810 93099\n6787 82747\n9505 29417\n30374 47756\n16888 57037\n14509 33122\n85273 90824\n87869 90651\n78593 80646\n85063 97024\n18334 21790\n8369 99046\n11443 75558\n79598 96783\n19997 44674\n33567 77948\n47524 96784\n16964 99430\n45227 63418\n43442 55643\n80093 91273\n16678 61177\n60783 65584\n42067 74965\n82826 90165\n15085 97706\n6533 48223\n20971 77132\n25716 69093\n19919 43747\n57061 69194\n5422 8516\n20914 91604\n18391 83773\n47418 82125\n39167 80181\n11972 91529\n18501 48855\n57724 58298\n34572 93327\n48949 53242\n69136 88772\n14919 88695\n87780 90814\n30036 82563\n41437 77946\n9288 50747\n63713 73278\n77455 90735\n25592 50329\n77304 95835\n61388 72325\n38840 96207\n68473 76655\n5230 13716\n56709 67949\n36814 84685\n93369 94839\n20744 41191\n20125 93408\n4471 79076\n12950 46348\n32146 88608\n17036 88201\n3659 97509\n80841 81159\n77500 97675\n84367 92419\n31217 90944\n37319 93226\n56941 96541\n85067 86766\n1730 35602\n72683 99076\n13 46436\n10052 76400\n43022 92215\n10919 57406\n2556 8890\n43674 90248\n4716 63732\n26053 27121\n94573 95015\n79189 97081\n41479 91734\n26622 72344\n85695 90445\n65739 73954\n3692 11981\n20252 88259\n26563 96053\n64552 97373\n38169 92637\n48426 74109\n37957 60027\n33428 55993\n72368 98451\n37089 79064\n77543 83149\n48116 52090\n2553 38477\n10427 62883\n11708 61610\n25782 57479\n69584 95325\n26078 35507\n24989 69876\n8893 13601\n42691 99665\n5739 6264\n35178 85704\n29751 68186\n5308 93627\n59631 92744\n33941 88011\n46723 81282\n3348 44379\n29037 53030\n39866 97549\n29002 90180\n15558 57595\n48992 77731\n17562 94174\n41641 52467\n64501 70145\n59253 63652\n15802 62353\n56384 90094\n36212 85044\n81920 94936\n17682 90015\n3954 72391\n81094 96927\n30943 86223\n12153 56898\n39714 75709\n46093 65829\n15168 60972\n25177 90211\n48372 99867\n7704 19065\n12458 26929\n18908 87450\n10596 18535\n30030 96739\n21637 37096\n56818 93155\n14357 36100\n2513 66503\n87693 93478\n23218 94153\n25977 70296\n86905 89352\n45033 66933\n23660 56541\n84068 85179\n13091 94361\n57624 98176\n21559 84185\n23381 51950\n5719 40619\n64101 73625\n17177 61104\n6677 60267\n15611 72142\n8943 30329\n53750 59366\n44456 87333\n74501 97171\n35891 47463\n3735 59456\n1841 48058\n23540 28020\n29593 76289\n30539 91658\n3684 71148\n70120 76952\n53174 83905\n20209 92985\n83088 95204\n34579 46998\n37164 72875\n41480 78717\n62201 67472\n1435 29687\n16833 18598\n2564 25218\n52848 84350\n12238 25524\n26470 30363\n23606 59884\n80163 90164\n28007 34143\n66146 73113\n34677 72611\n40399 52456\n16107 41965\n6375 37868\n58155 70674\n9705 48537\n49039 86123\n5395 95954\n4776 60112\n46396 76309\n21099 43110\n45092 45979\n54775 94132\n16212 49975\n47499 51072\n53430 80287\n2460 34099\n43166 66469\n42707 81119\n53545 89249\n54281 95138\n51323 80528\n61034 79273\n41078 97947\n9886 83252\n35307 81352\n57251 98598\n7889 39445\n62875 88913\n3849 43640\n20985 71767\n36066 41984\n6728 80870\n15423 67714\n57203 67579\n63957 70807\n35737 44782\n3452 80511\n1589 39102\n10233 38187\n38800 92945\n5079 54905\n7850 58416\n78801 83357\n12133 75688\n19220 93804\n3291 3704\n5029 16337\n10478 46529\n98465 98890\n49057 78864\n21338 48536\n85727 90274\n15719 61912\n32270 85993\n5308 99992\n40910 54583\n29484 69211\n11598 35432\n21866 26394\n11705 71059\n41970 63850\n11178 28820\n17464 37755\n33619 34322\n25207 98068\n874 35706\n82728 99895\n38531 42040\n26080 73471\n67888 96579\n18615 53781\n43388 68426\n79269 82873\n26694 58878\n6970 10454\n30183 78551\n15997 22845\n7876 40654\n38827 57250\n24443 59558\n20429 59985\n26805 28614\n27870 81030\n34369 39805\n36056 89060\n31005 90196\n5237 99725\n23545 36664\n9271 79252\n44874 62401\n59253 64251\n38263 41536\n56916 68576\n60149 97691\n54357 79880\n24847 90501\n33908 34884\n1438 51447\n36225 61763\n15914 63954\n20679 66119\n57827 63307\n7494 70154\n33179 37032\n82457 95787\n12752 40631\n61171 85655\n81460 93890\n82786 87375\n46313 86530\n47463 55381\n23904 68550\n77187 98176\n84231 91562\n42612 83832\n4449 16649\n67188 84064\n88370 99444\n1278 50224\n14304 86985\n35889 58360\n42113 54137\n6695 42782\n4263 43100\n7192 47722\n62019 72430\n55593 70084\n39199 79673\n3529 7245\n5809 68623\n28835 39621\n9668 66551\n50073 79976\n32194 84663\n34093 84481\n57788 75447\n38762 39969\n18840 36352\n28323 93673\n32886 83555\n15458 97359\n38330 39439\n45207 55997\n6172 89799\n40575 47188\n34957 99216\n67009 92356\n32991 49627\n51420 70048\n44450 98074\n59831 67298\n29012 40955\n77712 82579\n13864 84592\n11118 89331\n28126 73173\n7171 43266\n49270 68031\n47636 85385\n20161 31398\n45456 67800\n32500 70382\n10837 36580\n26822 47907\n12508 52995\n34076 37576\n5391 18735\n20004 28123\n53199 63187\n18005 85180\n4972 38864\n45783 66621\n54475 75603\n5039 15226\n34031 98189\n40666 65517\n56695 90620\n73752 97385\n38210 42047\n81955 82570\n83957 99897\n2208 82974\n42364 65923\n45198 54377\n52303 68773\n7164 61574\n98661 98942\n73822 84663\n21315 87369\n2460 12301\n322 10959\n60790 71293\n26429 94492\n35808 86722\n59598 73177\n23637 52282\n11847 49397\n28413 70624\n25040 82937\n76826 83072\n58701 76278\n35624 69951\n87262 98858\n53471 61561\n36818 54849\n63307 76786\n8950 61744\n5776 30168\n92188 92245\n37792 62521\n26109 77965\n29688 30391\n59673 75544\n199 80371\n62648 76241\n6879 66024\n39207 75694\n18114 59580\n23806 25295\n6368 51706\n18561 81921\n26597 96275\n1253 93760\n11748 50790\n4191 55705\n10585 39602\n11704 69112\n1343 18325\n28887 80761\n33327 41972\n33977 78903\n14863 60063\n37132 49299\n11549 36915\n589 32815\n2783 52018\n35642 62943\n10388 49184\n28100 32913\n61531 67696\n14020 40476\n24941 61948\n2073 71684\n61187 84900\n48188 88231\n41734 56491\n30888 43929\n6061 19402\n66813 69519\n45800 49462\n34385 46955\n40904 41075\n56165 88649\n80311 94376\n31874 83166\n35839 60073\n1354 54522\n30864 67040\n29809 40301\n91811 94220\n20780 95134\n41536 43327\n10539 14360\n36115 79780\n19725 45588\n16577 25005\n32520 92232\n3680 14741\n36469 81750\n14811 48770\n3866 64793\n16980 41507\n50558 65905\n20420 41851\n3886 20343\n8087 80266\n16940 60185\n46159 88025\n12670 57390\n60918 84866\n15174 38622\n8632 51514\n6932 18733\n2498 48341\n21724 37480\n36352 43137\n4317 99146\n17382 98799\n38078 86947\n32373 99237\n31056 40643\n23247 61410\n71688 79832\n54927 96651\n64293 84507\n70465 84438\n30788 34426\n82201 90980\n17667 80227\n8350 16550\n48884 81545\n29141 87447\n33288 51948\n44373 64034\n3107 83543\n46283 63214\n28704 56823\n69044 97362\n51097 92191\n4793 67405\n68005 85639\n20363 51959\n17289 56364\n90496 95903\n63710 78949\n80311 97168\n95833 97066\n34041 44205\n68050 77154\n44568 87675\n21905 33494\n17641 57484\n57319 88777\n24184 28911\n37920 88736\n68217 76887\n53962 70498\n50068 58643\n30589 41071\n52996 53692\n33515 62662\n1764 47526\n53046 56195\n60668 75793\n51822 90216\n34655 34919\n74890 99438\n13736 61255\n38248 67598\n10291 85713\n74973 92961\n73580 74541\n47997 99483\n59325 66841\n20698 39786\n78264 82956\n27813 55393\n96031 98877\n27601 79804\n95075 99138\n57349 79632\n3441 49900\n6395 89980\n32672 52228\n16757 66354\n79943 80344\n86514 93649\n2615 80742\n85525 86678\n39489 83370\n30519 87391\n74781 95601\n8440 86387\n29452 40167\n52472 92360\n71076 95073\n26237 77387\n14599 90502\n9330 21394\n49043 60660\n25794 71671\n64272 83414\n42506 96407\n49397 65346\n28566 78058\n45343 95542\n11663 42689\n13078 52563\n49299 71545\n49801 57159\n44944 53469\n82842 93171\n20249 54457\n22595 34172\n73367 87826\n57628 97188\n43553 81485\n4439 84953\n59874 87571\n45595 97137\n42299 85441\n4660 89593\n32047 94250\n7167 76606\n18902 94250\n9005 41651\n2371 92877\n50153 73159\n6769 48009\n43900 93352\n41402 90724\n27662 69597\n19888 46558\n12253 13234\n71546 93647\n10384 40988\n3153 78965\n16190 52064\n1285 79443\n25776 53147\n19804 36970\n6024 55156\n37201 71584\n6385 9878\n52198 63299\n85208 86885\n43552 97510\n46265 47996\n11483 87413\n54995 71654\n2442 47353\n15697 80737\n10759 89734\n30262 71822\n74329 81569\n7529 87749\n35220 39343\n41087 73041\n18974 45317\n54465 83419\n13434 65285\n16337 99770\n59171 85313\n8547 32777\n62133 63600\n60066 62190\n69507 80932\n26305 41321\n15337 98893\n31433 51694\n11701 28271\n12256 63386\n1505 30020\n27596 98839\n8700 15550\n53909 67214\n15229 90464\n11943 90380\n47003 64786\n60246 64389\n24393 88173\n40699 58241\n69699 82631\n20811 92843\n4402 21738\n41277 64972\n21044 44583\n19928 28293\n6305 9916\n30656 35745\n37226 85638\n31442 91550\n27124 66814\n77276 90276\n21595 41067\n7009 19601\n38924 89429\n78980 93841\n8091 75409\n12723 43766\n24146 82597\n13657 30305\n23404 69143\n24772 63364\n1606 42642\n45368 93416\n66432 72301\n29948 45577\n2648 57221\n52328 75727\n13370 88345\n54885 93116\n39197 81055\n11354 73813\n52415 93359\n56159 56584\n61208 89607\n12585 69026\n40062 45340\n68031 89948\n15551 71995\n31324 75393\n42909 45069\n23854 55509\n53714 65869\n23011 61988\n36445 49973\n22091 66130\n53586 73362\n7867 71056\n38183 48940\n26339 49879\n48073 86689\n10079 89659\n17326 25911\n37966 53995\n27372 33675\n24915 46016\n9548 37737\n50737 94469\n36106 49419\n5046 89963\n5957 98161\n7930 80580\n4334 7264\n59571 63571\n5865 18401\n16387 54361\n9810 77784\n45819 84073\n84309 86134\n666 1036\n1325 22025\n343 28595\n49035 86897\n8616 84844\n53998 86573\n82104 83772\n763 58919\n32466 51823\n32351 38450\n30101 98491\n62796 87491\n84638 97176\n6799 60483\n85511 98660\n33459 71035\n17163 53468\n70084 87084\n30921 63951\n4356 10010\n1923 89242\n49051 82759\n23986 99529\n54829 90611\n23245 29881\n67646 87207\n2353 48292\n765 7984\n80876 81748\n54080 67117\n12973 84301\n18861 87849\n33866 36660\n27563 74356\n31669 35563\n2520 56135\n70471 88305\n14452 85616\n33888 38427\n35158 63045\n2060 91261\n7034 81421\n38302 44223\n50681 93320\n38499 77237\n14646 95354\n20720 27028\n72750 95840\n18778 88506\n27218 41804\n62799 81002\n6186 63219\n6243 47826\n24584 75885\n10536 35582\n59940 92260\n60859 74841\n41877 47015\n31815 77672\n34051 79721\n66842 69255\n39709 42002\n57994 60468\n3777 4689\n32946 78409\n26958 32595\n67787 68818\n57355 80528\n13905 81761\n16888 49199\n31878 99568\n8038 63416\n19240 67923\n40397 84847\n9040 50199\n37193 46308\n39515 63199\n22075 29336\n45504 64778\n85018 87780\n62506 96668\n7831 14911\n89646 98115\n9646 58745\n11676 38967\n70332 75210\n2217 48779\n93149 99988\n75878 91608\n50038 75880\n82519 86002\n45982 96529\n13215 14109\n43622 93816\n2616 37794\n23640 71097\n3018 95214\n23178 62271\n56798 93344\n28820 39868\n41121 81671\n5845 30482\n30764 40155\n74922 76087\n20312 54312\n35150 60134\n61863 88527\n43867 57618\n9855 60679\n40210 77263\n56125 76733\n9531 43974\n80380 81988\n52260 90801\n25342 57751\n16662 76790\n8107 94285\n62459 91307\n27252 53324\n50863 57685\n15743 39236\n23476 44581\n24083 95077\n135 14641\n17847 57187\n6463 43295\n44098 60783\n7889 89853\n51998 54278\n30813 30890\n45398 74216\n78025 90033\n30470 58932\n24822 77788\n65020 92883\n39178 55314\n55082 95597\n15564 51083\n45846 80419\n53866 69945\n75809 89365\n23980 31211\n52014 93505\n55216 99433\n74473 91223\n22592 75431\n531 68586\n3991 20462\n23307 57523\n8765 50297\n25671 72908\n4759 7539\n44437 53715\n51538 59573\n955 12941\n25363 46823\n5954 56917\n6855 54096\n57038 77744\n75509 86612\n52969 63657\n70354 99418\n42104 92135\n42329 59538\n78952 85990\n82236 82258\n41694 71458\n5909 77822\n36959 94938\n12413 36056\n15340 78189\n94486 97274\n23639 98156\n54790 60350\n2283 17358\n43838 65666\n27939 84297\n1950 51431\n22221 45014\n61445 71635\n32713 48960\n37016 56173\n10298 22176\n18525 45342\n40573 94587\n28699 99903\n19420 66604\n684 75649\n13615 20804\n172 71803\n3319 78147\n65078 89606\n52464 90937\n33542 40900\n1765 44481\n24745 39006\n14097 27590\n49786 78223\n57113 77559\n12807 34296\n36299 98745\n18983 25091\n39799 70198\n8324 97302\n50400 64030\n33489 61872\n22576 85113\n48214 69182\n479 50923\n42769 54592\n2376 47954\n74540 77040\n62673 78646\n31254 41098\n52075 71160\n47885 67860\n68278 89827\n47077 47897\n3921 89073\n63833 91722\n2499 94849\n25320 82068\n21840 74052\n60343 82460\n26614 55326\n10998 93598\n48045 77990\n30382 93973\n7387 96991\n31010 81764\n14733 17784\n59037 81313\n56096 75827\n12394 88778\n49921 73501\n20981 30419\n24383 45734\n74434 84944\n1172 8987\n68272 86994\n50462 64072\n51585 81595\n9738 57097\n20872 56872\n16284 56242\n16525 50692\n29367 81700\n26426 41850\n28747 86134\n4670 69098\n2075 63657\n7702 70304\n86130 99671\n31579 73971\n31105 76541\n22777 49140\n36934 92649\n30990 73067\n78987 80316\n55439 69449\n30354 38154\n33541 87039\n36861 83686\n74286 96589\n20872 75901\n984 16405\n24665 36549\n16408 91416\n44154 78115\n625 29260\n27354 39906\n63686 97090\n19063 98873\n48307 49341\n19827 48291\n35959 63677\n3170 68038\n19357 54255\n7262 7995\n31621 62374\n74534 99186\n78531 78796\n7779 16677\n13711 24338\n11015 37811\n17101 22569\n36124 92623\n24913 35719\n12456 87304\n27895 43284\n86795 95992\n26897 93166\n7450 84676\n21140 66215\n10556 42534\n13175 60601\n2705 60159\n37673 43215\n32276 60672\n22883 48362\n3265 29854\n23600 89932\n17142 56562\n52292 82219\n19824 26994\n44112 91544\n46285 60295\n602 41983\n62997 94428\n83842 92951\n23738 89145\n35455 93508\n21770 33304\n87436 97444\n12507 24604\n7420 36872\n36558 63837\n16120 77141\n56026 79379\n93119 96030\n65222 73372\n2311 49650\n1104 6057\n1877 69938\n53882 83720\n13997 74122\n12532 66619\n34141 53844\n23041 69002\n57795 69459\n10527 86866\n47027 88560\n1348 53254\n31775 56457\n14445 26753\n52699 94895\n79903 87855\n31124 79701\n27338 31507\n17969 73161\n5730 32521\n73863 80490\n10710 27564\n63083 94908\n64730 94740\n70709 77829\n57922 87151\n37197 46579\n54492 75557\n12089 91342\n18753 59426\n60038 90552\n50134 60981\n90221 93325\n51023 79731\n10075 93934\n6779 87615\n15504 72238\n3626 11638\n84010 88937\n11299 80518\n82138 84465\n44612 45042\n60365 63878\n31102 60908\n28611 47397\n47112 77770\n94022 98408\n178 21626\n38465 96268\n48413 84962\n736 73524\n79305 94283\n31384 73200\n40979 65472\n43937 94455\n16063 60999\n33769 35129\n23472 91725\n55430 77610\n18182 70140\n57394 60402\n4645 31635\n23118 46276\n27957 29604\n7891 82187\n43479 77187\n60331 96765\n1769 75553\n74697 95358\n44007 56282\n11 45337\n36991 43177\n15137 17403\n87979 95098\n29653 42029\n25201 47017\n6992 56978\n17933 75475\n55660 72924\n96109 96601\n4189 49161\n38769 65219\n37976 49515\n35497 63777\n33125 83748\n22147 87741\n6992 13374\n9805 63714\n7579 64159\n236 82874\n68698 99937\n24520 45545\n21688 51683\n2221 13593\n36440 93270\n60480 83462\n1133 61562\n64270 84687\n88646 93956\n11262 76724\n41885 70834\n41092 67962\n77028 80880\n15478 15750\n65483 83857\n45920 71520\n15096 95596\n26341 96314\n57629 84170\n13274 43281\n34863 69471\n20094 26104\n8120 88664\n40688 72547\n42366 94978\n84039 95774\n50906 63807\n60361 96989\n40099 92341\n31569 55369\n44660 79192\n33461 58346\n16389 94273\n5074 24698\n51446 82682\n9457 45929\n27617 56634\n27722 74623\n77521 91610\n57682 92452\n30940 60095\n39222 99869\n49069 68810\n26995 68167\n15513 90622\n14710 35042\n23918 46231\n25530 48391\n17401 41032\n42060 59999\n10751 29143\n4952 5297\n13977 17409\n39502 72027\n29737 54114\n6222 46332\n32888 88564\n23376 29430\n9550 48311\n14416 17687\n54431 94808\n24896 25813\n29463 57096\n7542 95311\n57842 77256\n34820 48064\n11028 90397\n81491 98928\n20931 58862\n1670 77067\n26244 99873\n45187 87859\n58516 68742\n7580 48209\n69327 70986\n37269 64513\n73064 83411\n27041 51146\n26126 59110\n75162 79418\n66574 92881\n3609 52023\n11805 82394\n70010 84492\n15939 42246\n5229 28024\n26209 46734\n36055 45333\n20944 50100\n18671 55307\n56717 73417\n9435 56735\n17152 19872\n35184 44363\n15076 42522\n53392 97044\n38925 72863\n48909 83186\n15583 72847\n46711 60251\n16250 18991\n2861 60293\n13906 19840\n51611 71268\n41568 99377\n14866 29324\n3474 96313\n9378 81575\n23771 48024\n71021 87679\n36615 83235\n40770 61244\n24481 92471\n3946 48189\n34546 43642\n9456 79818\n13415 68233\n5011 36233\n36958 98277\n64286 72235\n77753 79936\n43267 98496\n57924 69926\n65882 92087\n18761 45250\n7513 39921\n68456 76361\n21520 94674\n46874 95932\n20136 61886\n1830 18727\n37977 43702\n57006 77761\n590 58681\n51840 67382\n52700 88867\n79063 83058\n30014 51596\n43644 79379\n43189 68806\n62785 84910\n14543 37025\n44293 74541\n3326 95319\n38443 60447\n31095 53830\n36991 42810\n44167 78516\n67050 81581\n91003 93193\n11418 39157\n45056 47923\n1319 91493\n25841 65797\n19473 79451\n38376 80852\n75458 99679\n69711 93405\n30485 48305\n57768 68194\n46182 84999\n9699 66339\n13845 26737\n19234 48474\n8544 21474\n80305 82260\n29604 72592\n3702 41174\n21115 48446\n84239 86464\n12108 70387\n86320 92342\n52981 81297\n73876 99293\n2453 23843\n25566 81342\n25807 30381\n44232 88064\n51728 69235\n27157 61529\n3110 16664\n49285 54407\n13775 47057\n51409 88715\n12176 85819\n78112 87582\n62669 83775\n46398 59890\n21858 95283\n33979 54967\n28358 39513\n50964 90161\n49452 84154\n16953 74272\n35118 87293\n73273 99969\n45966 93746\n32861 99106\n73743 88556\n10708 37841\n63898 77659\n70494 85285\n79373 98595\n48977 79266\n2364 52108\n62143 83306\n46480 98888\n82104 83705\n29628 63187\n7247 58568\n42362 80178\n69169 85523\n69260 94262\n7895 11145\n15904 64031\n56308 95343\n42883 68927\n33506 73664\n79088 86152\n19117 97364\n56281 84303\n83313 85187\n5261 52136\n21756 29476\n1568 42570\n80830 81494\n79727 88067\n57844 80440\n30746 53912\n15587 40824\n64518 71241\n6471 46061\n699 81994\n20109 92012\n81652 96039\n29799 59246\n12811 33650\n53647 80668\n19994 28748\n55026 65164\n48655 54003\n23134 68614\n10691 37277\n22271 49346\n15567 34820\n62368 70147\n56064 93338\n7837 48366\n73295 73417\n84935 92056\n4322 79617\n10056 17589\n24200 99766\n24157 55005\n16648 58395\n18721 42995\n76500 91191\n26459 91080\n90534 99928\n5876 75161\n57037 58429\n67800 72238\n7231 22587\n14648 85090\n29617 41269\n4647 75193\n11483 98354\n63224 83479\n56356 61895\n18772 89051\n28430 45155\n19224 66316\n8439 61473\n5160 9041\n16690 61658\n90040 93838\n6210 61672\n20854 64702\n21985 52698\n1879 36336\n9840 22076\n20003 98535\n22729 57882\n45412 51003\n18379 62434\n37505 74802\n50682 57186\n6649 18738\n21174 54135\n76043 87099\n51344 99137\n37036 77641\n4053 6222\n15914 52181\n17168 73649\n17875 30731\n3514 87458\n45007 57879\n221 4931\n18803 88052\n7639 87942\n16045 55868\n59773 78043\n65538 93479\n71195 84125\n91413 91574\n51868 93353\n28411 38642\n24891 57644\n9020 11981\n37014 56103\n7825 22087\n33303 41721\n64047 66058\n26867 68134\n67040 71383\n32316 43639\n29274 73652\n3583 39498\n45820 56555\n18573 49434\n67676 97245\n25657 50971\n57155 81364\n48880 66576\n70303 70331\n55852 89942\n4381 49359\n15927 37576\n53607 71236\n5141 23641\n22959 37073\n32156 70652\n37217 90272\n46423 48603\n74222 94527\n14493 43440\n3212 45980\n57075 75688\n36719 42469\n93888 97768\n3125 94470\n60331 67665\n64888 65141\n27711 60561\n17873 77390\n71140 98363\n34417 79007\n45483 74893\n60982 76821\n25173 83240\n64467 70341\n52482 86902\n2479 73364\n19536 54640\n62110 63806\n24782 35619\n17533 18882\n83201 84530\n25636 54113\n61338 82822\n82795 88316\n16222 37719\n18141 96994\n66633 79798\n9428 87228\n3343 73889\n20670 95066\n18213 20108\n43829 65071\n3148 38672\n41563 63662\n11598 85069\n12997 39945\n34565 39228\n68010 98555\n56061 85144\n16279 37377\n1045 7237\n18166 68797\n10726 20276\n23265 36895\n56977 64090\n34172 86606\n47502 76447\n79328 83579\n10420 91236\n8167 64292\n7974 45977\n10567 49944\n90151 92491\n5671 67415\n10967 38202\n22603 60276\n3686 89072\n21178 83443\n9599 33272\n56303 76382\n57881 73749\n28416 59440\n43798 46307\n14007 30228\n20301 37144\n4583 37691\n94325 97343\n25949 26061\n3656 28267\n57707 81671\n26608 31485\n31966 39098\n18183 78736\n18296 67199\n22249 58672\n42895 91823\n34818 57127\n21791 22598\n98196 98647\n37465 69378\n70764 82759\n14841 24981\n35826 83054\n59298 82487\n87612 95646\n2901 25925\n10291 37224\n29128 87813\n7190 24890\n57239 61480\n84778 94441\n58721 93600\n30767 31103\n10739 90900\n9971 18727\n44580 51055\n19738 67006\n35428 35636\n85500 99723\n53821 61152\n82470 84954\n58583 74292\n42682 63714\n34489 80609\n46453 53148\n24127 40341\n9765 42209\n15753 81406\n75454 93822\n2022 94929\n27807 68875\n54101 56872\n34924 53071\n49822 90808\n67408 70462\n41236 97748\n19557 50156\n44453 65329\n47158 51157\n65955 93959\n2010 94414\n68632 97454\n51750 59670\n475 82543\n37823 39886\n56665 72150\n6428 93621\n20361 54722\n23375 80517\n7979 46454\n4929 24101\n26272 99876\n23965 58459\n1450 60621\n26590 85725\n74164 81262\n2443 29705\n7468 61743\n52349 66267\n43419 54477\n39313 53245\n31612 86682\n12964 23742\n69839 92184\n64575 67232\n46005 48399\n39679 60906\n18916 55237\n27143 85553\n13149 73967\n17342 81340\n27261 54057\n3385 53472\n66145 91200\n49114 71968\n79776 97570\n499 23765\n33645 58163\n72587 97114\n62292 75257\n48308 64867\n1726 41187\n53528 71936\n18584 30443\n4826 93535\n17350 34061\n51325 67057\n1126 56553\n31579 61157\n43382 58525\n5927 57772\n27437 67716\n54131 54223\n12987 84742\n7430 12521\n29640 46595\n47387 89520\n12322 61772\n22890 32721\n19248 35056\n19356 23593\n56329 68026\n11990 51921\n16873 86692\n25303 73664\n5842 38948\n21175 36832\n76851 93287\n39763 93391\n11109 24586\n64358 95582\n7270 80497\n11091 24646\n39182 73893\n42448 58416\n27895 94817\n23223 64990\n3628 36250\n23170 61667\n57397 99542\n37519 89869\n23187 85521\n9052 83352\n54330 86160\n86452 87588\n7833 19864\n41593 68715\n55863 90624\n61380 92472\n92835 93552\n19596 48821\n55934 87410\n11567 53871\n56024 66525\n75931 91288\n73751 84180\n6270 31052\n10230 50686\n78130 88307\n19357 88194\n3505 49302\n6438 63938\n33838 85393\n120 75111\n19139 51197\n26397 99623\n5460 82223\n49845 99227\n18400 52309\n34097 70799\n32451 51745\n156 97871\n13198 65361\n46173 54143\n42276 65014\n22666 75683\n72229 72274\n70259 99198\n101 99318\n11647 23299\n46923 72039\n43577 50588\n10047 73314\n8640 95436\n22705 56323\n41741 82543\n37531 73463\n83729 96120\n22142 63454\n74936 95241\n3295 40097\n22986 90738\n67103 79345\n34448 47277\n5596 29666\n64625 77349\n72433 95307\n49532 95826\n9307 13349\n24794 31405\n52437 73027\n46412 73205\n22203 95102\n47693 60848\n4291 11263\n68113 89589\n24394 41815\n29935 66081\n32711 85815\n423 51260\n10601 19226\n6091 66612\n8335 68779\n1329 49555\n64886 88639\n8097 40761\n1277 20695\n14397 65336\n82171 99888\n62240 88166\n62331 80071\n7013 80851\n21726 43883\n32075 37952\n35033 78969\n42620 97418\n19530 21174\n26349 84581\n12606 93982\n62370 91540\n24657 27963\n22349 76389\n32512 53493\n40460 70864\n6049 47857\n17212 41803\n45821 86318\n11231 84250\n887 94886\n5631 21897\n52868 81171\n302 89310\n50688 65533\n1766 60665\n23609 71082\n15618 99086\n8387 17634\n17825 89219\n6184 17618\n72227 92701\n92726 93464\n40364 53351\n68592 81798\n33185 96434\n34307 78325\n30395 48168\n35957 70610\n77816 86062\n25343 69514\n13975 96262\n13708 98355\n16082 86772\n43097 99174\n29450 78548\n74221 90591\n60184 71672\n68475 71197\n31855 96327\n43681 72208\n17024 24369\n15231 60129\n73171 83997\n35442 90355\n73 43318\n66666 82352\n37848 97915\n56303 92698\n6482 66886\n4991 93197\n74132 87766\n56224 87142\n91257 93360\n42950 52454\n42744 87869\n23799 51107\n14501 61311\n44844 68950\n12493 34615\n674 64679\n9349 77614\n25151 96170\n10845 91625\n43776 56369\n14751 79719\n30624 74161\n25056 94132\n22556 62536\n51772 88020\n20729 83642\n38639 51755\n64926 97346\n40134 91370\n2989 67612\n86230 94536\n17892 99292\n22116 71477\n18993 23633\n48271 66248\n16848 92953\n25617 74406\n338 78389\n42911 84305\n6250 72009\n21019 83753\n42689 65036\n56870 88142\n2073 59133\n4421 39211\n9417 70954\n61020 78995\n38477 70253\n38998 42510\n24912 27599\n68149 99950\n38478 81875\n79850 86453\n56922 57343\n29874 65859\n89679 96877\n33175 59113\n19513 99806\n41981 99503\n63052 89590\n9284 28997\n31737 42688\n15157 98522\n22942 87340\n8841 9848\n54822 81617\n17552 82666\n31887 75011\n89 96299\n86109 86929\n17555 81592\n6921 83509\n56815 60736\n1018 82236\n6275 54290\n70784 99288\n41965 97948\n58942 89057\n46302 76057\n41719 85692\n36737 68532\n11606 84325\n38473 89514\n42731 43931\n44820 90861\n33919 47287\n54259 57758\n61432 68548\n24151 44252\n60770 62947\n48448 90039\n4955 38305\n64706 94856\n18631 55937\n36429 74027\n20601 60874\n39028 54357\n57011 85538\n30683 98187\n715 26209\n57972 65124\n3212 49869\n36406 92040\n19975 64649\n93240 99019\n34769 60098\n24465 32554\n12839 78109\n29661 79035\n51909 67844\n46170 92895\n60678 70451\n44849 66269\n63521 73402\n3430 65369\n1212 23355\n16615 86911\n25998 92309\n41998 49930\n82076 87223\n83989 85557\n60184 79783\n7400 42179\n8005 86723\n1304 89396\n15520 23387\n26695 42593\n4069 32648\n39475 52760\n45229 71428\n78375 89748\n56554 57050\n18541 79421\n2461 80114\n54482 94249\n2573 97967\n32086 41963\n22500 65454\n25638 81299\n38905 87141\n28275 54433\n43441 78648\n46125 68694\n22898 68071\n18474 51113\n49039 95801\n23652 44616\n61857 73645\n44737 78931\n13717 91345\n45 48504\n26063 68123\n11752 46165\n30076 38552\n23289 48546\n23763 86658\n27131 36149\n17336 74258\n5060 84723\n30395 54796\n25218 91966\n77295 79402\n39731 65106\n11543 88114\n20207 89485\n21747 51104\n67467 80012\n20188 68817\n23325 89630\n20721 52288\n13020 22333\n30112 53358\n65702 85598\n49498 74093\n22239 61653\n78131 78645\n5593 19982\n46727 93769\n68076 80688\n26174 40208\n60027 74646\n6776 84509\n68564 91046\n8252 38245\n27758 51949\n4599 31467\n13487 82159\n89746 91799\n14872 26519\n75381 81815\n33458 97906\n27880 81718\n36731 85729\n67579 89142\n18122 50012\n16570 80553\n5400 13057\n38771 90879\n24916 87951\n25454 75899\n39509 98403\n46371 74857\n87971 99441\n8333 66142\n32344 52728\n52073 76625\n5841 41242\n41711 65147\n21888 68646\n27845 41826\n37899 95011\n46285 54233\n29177 50171\n6637 83793\n20105 88643\n8268 34402\n59689 83060\n14095 63632\n20867 30801\n6064 38713\n58776 88026\n27942 28825\n9585 60874\n64792 96618\n11487 99406\n17865 80606\n6780 32332\n45679 97332\n5077 22051\n18614 57983\n18105 46192\n30016 86746\n18599 67112\n30077 98792\n47275 71104\n52718 73273\n78430 84321\n4051 84553\n22168 85701\n14284 29064\n27890 94592\n24277 61203\n49464 94046\n55867 61095\n38248 71284\n4191 10154\n31162 34893\n11380 37341\n49478 86284\n21037 54745\n56781 72742\n10113 92233\n65829 69995\n59666 62296\n5513 66696\n4660 83366\n49555 70650\n24067 90980\n23797 72457\n12090 79521\n66122 99649\n22267 80064\n65070 88457\n26747 54476\n55290 85653\n74409 91898\n34557 57385\n36658 46714\n67905 97941\n70594 76488\n11750 83650\n8551 60057\n4011 4238\n57648 68532\n4549 26221\n68342 89395\n19177 31784\n27975 57539\n42030 83733\n5182 20446\n85423 88062\n20526 98690\n33533 69607\n15184 48163\n13626 61626\n16169 67420\n60355 95044\n63274 81347\n55916 99094\n42062 93800\n77885 84631\n10187 46130\n17990 78356\n72534 92843\n31524 63497\n5096 62821\n15211 46268\n21907 86953\n32316 76741\n38977 77888\n29099 90700\n10101 50021\n18004 66266\n20373 37792\n3397 52863\n12767 68402\n82383 94042\n97292 98977\n46000 91143\n17725 98377\n45132 67591\n52776 93160\n21046 43621\n52356 69167\n74204 88968\n67562 90101\n31635 73511\n138 92832\n73414 88356\n53488 91306\n50773 59495\n19736 38354\n48438 91399\n39978 70489\n29341 44176\n4580 47379\n72487 92457\n15123 71724\n84732 99406\n3584 86680\n35301 78708\n45646 69274\n22583 98127\n30651 71720\n18027 90280\n48875 57927\n5663 55165\n37265 58369\n29154 63007\n18988 60376\n43830 86677\n6105 25529\n3317 35914\n32479 86884\n17075 34256\n13280 79306\n66835 67151\n38571 40685\n15391 31638\n21133 85768\n4249 25351\n28242 67680\n8413 63310\n2485 64529\n15226 34307\n6977 52326\n12861 17089\n14135 54695\n53583 65601\n47233 52075\n16142 47832\n26160 50426\n37885 83813\n12495 63752\n59662 97193\n6034 76802\n27018 41427\n18777 19565\n65644 76692\n39732 54629\n854 22323\n33807 61229\n38165 41775\n3529 30422\n40241 92362\n74820 98448\n8114 32486\n55375 96927\n30704 69924\n7079 88983\n40387 94850\n19265 62409\n66350 75063\n11920 98468\n74702 90313\n10608 93980\n72941 85808\n34543 76195\n10413 75903\n44634 67349\n40943 98251\n15945 17820\n33656 64398\n37627 75615\n27576 70048\n44046 54527\n11324 89586\n25680 35954\n24503 86955\n55998 75154\n48077 85190\n76695 77932\n32847 71210\n30818 33696\n27145 47677\n27227 44041\n46527 81017\n71374 88818\n34295 64459\n30203 70593\n47970 89314\n48272 79783\n27414 76942\n70654 74952\n49213 86033\n4922 52992\n31580 47441\n22865 24169\n15584 86196\n50016 76026\n24999 75142\n52800 73697\n44171 54678\n25481 94631\n33144 49088\n36294 46997\n13332 97385\n66901 77362\n6683 8841\n37631 93306\n11931 42443\n23086 94967\n8009 40456\n10404 49003\n20892 38263\n71202 75993\n15422 37738\n55505 81968\n41400 63277\n17805 81444\n48077 53515\n16389 16725\n24047 74811\n47 77295\n6097 22412\n19816 74064\n40525 80999\n93734 98246\n26144 58493\n38548 62466\n56013 72788\n11322 30614\n18637 92793\n84547 84720\n50603 99118\n55492 70924\n13208 26003\n36038 76485\n18830 32227\n45988 68343\n51153 92052\n1381 17830\n2425 15509\n59392 61017\n10931 85992\n29881 80434\n73316 75532\n21402 38404\n70299 99452\n29109 87824\n27643 88768\n16880 48775\n20585 21276\n23236 66634\n90241 97293\n22291 34698\n10633 20345\n35600 56021\n71982 99921\n67264 73200\n20540 60729\n27967 98502\n59490 86548\n6839 60892\n32101 94036\n53222 61090\n17114 54941\n40071 50925\n1493 88571\n51365 93520\n4340 51948\n47147 98983\n53589 77301\n63793 84749\n32176 88642\n67068 76312\n15109 83372\n65393 91055\n7712 99672\n23381 85000\n11632 66673\n20464 91841\n14705 56350\n7280 84849\n15451 90640\n8469 54215\n27999 73333\n20027 32787\n12455 99565\n1658 19441\n11174 37396\n51333 87965\n10270 49458\n82762 88501\n11385 90026\n30949 44424\n4709 61467\n39348 62355\n7851 16003\n37125 60483\n26434 40233\n33299 68147\n16923 32436\n24390 41739\n29989 69378\n47280 82922\n29114 29764\n60343 60568\n4297 26296\n58881 94402\n46567 50240\n2358 86159\n30396 67086\n22331 44991\n56118 82013\n7473 33280\n58761 86943\n78108 98993\n33463 41182\n19726 93308\n47125 75003\n45319 94211\n35457 57147\n16122 56597\n27490 63569\n26899 87090\n19095 32827\n43728 97963\n38917 86910\n31452 44774\n28984 59535\n41115 73418\n22457 48256\n55534 91572\n72994 75787\n28766 41496\n52772 78586\n28323 32745\n44572 63523\n15054 81786\n687 92204\n16120 51272\n5753 93837\n24843 89617\n1855 28328\n8500 53092\n54210 62081\n11293 79186\n18780 61912\n48893 74719\n72282 75205\n60180 84247\n13811 55194\n77309 90402\n42339 50940\n38879 54804\n62816 66562\n54693 55791\n11666 19311\n73458 77208\n7970 92515\n26864 39275\n23989 95851\n4250 99803\n18566 57464\n58220 65903\n60785 95503\n40219 90890\n40595 81128\n29207 87001\n56141 87038\n52337 79510\n23026 69690\n73084 80865\n89430 90823\n4221 10143\n15340 62784\n44003 84932\n53738 86169\n3471 66089\n17240 81218\n2714 61882\n4700 44040\n21324 62020\n65865 90548\n24904 98913\n76483 82684\n58827 80411\n46285 87911\n21129 32878\n60493 70710\n641 82069\n30219 46402\n93944 95874\n51927 70861\n32096 40724\n48774 85279\n8279 24598\n21989 93296\n30386 34126\n44582 86135\n5471 8243\n18973 41524\n66917 97035\n65303 96605\n61393 86126\n55217 91964\n13319 64213\n17935 59775\n49245 82705\n54593 70379\n18499 54672\n37062 55478\n72539 74233\n55109 80658\n4662 54064\n15931 25490\n37230 41705\n28441 48422\n6935 30680\n19752 43270\n55284 77955\n19039 84186\n56038 78501\n52900 76124\n57805 90829\n15960 30534\n45944 52987\n2644 18362\n45000 72561\n37883 47083\n74648 78557\n77510 80175\n41066 53470\n24808 46866\n38937 45370\n48619 53144\n6823 86408\n16264 18838\n3174 76328\n21674 98098\n77200 85422\n24481 43152\n30588 38861\n24699 59446\n23648 36696\n3830 36441\n9288 27385\n1245 75606\n21953 45060\n3807 27544\n48911 79613\n2087 23496\n23864 48069\n5651 69931\n4221 69650\n26785 53068\n36803 99740\n21551 63551\n19352 75359\n6658 88779\n7965 42128\n5467 59489\n51551 90732\n28776 98614\n23699 27715\n19713 68161\n18710 28876\n22926 79492\n2891 17975\n25561 40472\n29522 38963\n60937 92544\n62033 89320\n10841 34224\n72537 96181\n75577 88711\n2681 70004\n19152 75200\n51260 56320\n29626 72965\n6643 94356\n33083 93462\n6352 65513\n69794 79297\n2269 61721\n37499 87786\n42035 56788\n3249 27312\n44186 53933\n28495 43984\n24855 56890\n28891 90741\n52167 90074\n34531 75000\n14362 68879\n51653 58414\n7272 66758\n48614 79127\n8390 87843\n84776 90084\n6152 61125\n35827 75493\n97456 98504\n12164 72826\n40541 59504\n16770 54907\n13436 95267\n12785 87950\n40009 42391\n1188 33398\n84451 91978\n39835 57311\n38468 59491\n2771 38645\n19434 83119\n62356 81501\n44091 88857\n49846 64798\n33231 53408\n28886 38429\n26982 92053\n96276 97374\n18910 97883\n61596 74853\n91690 92867\n25352 92023\n50580 73694\n28355 80908\n77994 93740\n56448 68615\n21080 56934\n35017 97538\n10163 42990\n58415 69454\n56726 81601\n15001 15554\n17941 76320\n65246 72239\n70808 95796\n22437 34994\n36651 95312\n46751 47743\n38733 61098\n42263 83637\n19786 41729\n14607 74184\n57827 80052\n24908 99661\n31225 92641\n13374 44845\n13755 57177\n34389 39125\n48800 78256\n27665 56799\n65150 66774\n8258 49401\n49149 71337\n4276 93633\n44457 55071\n74291 78072\n3482 50140\n7066 64833\n47347 50556\n24188 37577\n13761 46940\n52685 75185\n6161 72034\n15090 35909\n893 58606\n49626 67998\n19273 80608\n425 41491\n8367 17380\n53622 65143\n35995 41645\n11608 74574\n42401 50501\n32547 35960\n87503 93078\n5831 89952\n43258 89681\n46749 48943\n27570 75308\n50792 52404\n57676 77845\n10549 49036\n26100 72675\n66208 95474\n46267 69455\n10731 58217\n1191 60038\n33393 49179\n43788 58313\n18986 73173\n39969 89117\n30094 89133\n10951 75979\n9688 57173\n42815 81609\n58392 74743\n4128 29003\n17315 18123\n21274 41190\n12798 34614\n12360 84518\n37234 75596\n19938 91977\n8171 83409\n14508 70111\n26751 55600\n74832 86820\n29539 42669\n15864 73708\n47636 55660\n25322 64745\n85125 98070\n53313 68565\n55745 80685\n9890 76895\n30955 39623\n1345 26697\n1947 99486\n2731 30412\n39581 51228\n47756 53041\n32313 70807\n23348 50411\n88554 97206\n8134 21213\n30095 52603\n17390 86861\n43201 75261\n38321 73869\n44491 46177\n22269 55851\n52222 77575\n34362 75294\n5799 45855\n40163 99808\n39222 46919\n22928 47659\n38793 75952\n57241 83904\n3052 45856\n49183 90331\n51165 97603\n3980 59376\n59447 59673\n12835 61962\n43257 62361\n11244 17571\n16707 87726\n63664 98956\n50848 59626\n25793 96144\n8274 91749\n6170 78118\n3470 53004\n22870 76796\n12807 50973\n22609 39696\n5453 68191\n16677 29514\n36202 50591\n8527 34190\n3245 63108\n11213 85914\n13300 42759\n15549 73103\n24261 37889\n19516 42661\n28593 65539\n10982 19138\n45170 83601\n52432 79414\n42397 88765\n39860 45620\n43815 45759\n3800 94511\n45236 64172\n42394 96746\n17896 71155\n52175 77415\n30719 72505\n50519 50585\n8060 26365\n67787 96909\n14859 48054\n46464 72998\n19605 67721\n7524 61991\n26767 72692\n52431 72733\n32623 94611\n23730 33750\n29072 46399\n75856 82369\n34790 53409\n20414 92256\n17731 30234\n11306 25585\n4409 48273\n10937 47281\n14020 54521\n51488 63219\n54367 95288\n31068 49766\n62670 98609\n4825 40951\n40009 81596\n16284 86790\n40296 89237\n35456 52943\n40065 70967\n5804 96700\n54146 73062\n10834 55116\n218 5389\n14591 62875\n5543 99312\n20926 51469\n90015 97168\n48643 70170\n49039 50720\n36221 64436\n59358 83932\n52351 64584\n31741 81706\n15603 41310\n78190 84191\n119 75904\n49769 90259\n23172 51247\n36156 70533\n65873 85650\n20560 96284\n21929 46810\n8505 99785\n23107 58846\n11322 25851\n17847 83828\n8696 84933\n61178 95238\n10572 63812\n57891 72906\n1496 18501\n2301 94953\n65904 92662\n68600 99758\n51736 97179\n36177 85083\n64659 66170\n84835 93895\n86062 99137\n64440 71775\n1097 95713\n32354 85898\n799 46230\n16269 22362\n66170 82964\n28986 54545\n30814 60555\n75869 89870\n51585 83834\n9472 10716\n72906 84007\n75432 86801\n16195 29410\n1969 68847\n39528 70304\n37127 77766\n2658 14039\n49664 73757\n66573 78422\n47442 87289\n47750 92501\n15776 58789\n38388 40047\n36450 65393\n33003 49756\n4156 78491\n25378 80898\n56990 60447\n60064 64354\n7500 19218\n50591 52873\n68768 98385\n59038 68667\n45817 90864\n36590 49460\n5773 9663\n31464 52147\n7440 36903\n40395 87735\n2932 88908\n19514 87885\n33577 47971\n31901 63776\n125 21203\n21752 46535\n76678 91552\n891 47260\n14493 78615\n36306 64002\n19315 56757\n34192 77608\n68534 83500\n6549 22074\n56096 57091\n57350 77904\n2722 61319\n11375 71119\n46825 81869\n15650 25795\n43027 74470\n585 27332\n1796 17784\n35529 83924\n9325 85399\n4888 71895\n53485 61323\n17873 46106\n53425 96681\n11179 29524\n15706 98337\n4828 75133\n63098 68567\n36858 37285\n14363 66474\n37758 95187\n82753 94981\n29748 84326\n38859 87732\n76087 98138\n52826 83808\n74633 90260\n32891 59623\n23399 24969\n20234 98379\n24297 61260\n5413 12254\n62808 96632\n66693 99258\n20961 26499\n42314 75297\n50704 50754\n3639 56268\n21244 31289\n5998 35214\n25736 79817\n59995 98448\n74011 82338\n50719 76706\n29570 62747\n37757 40677\n36382 73635\n14469 61064\n6550 7804\n61261 96170\n15643 18112\n1602 79811\n16325 69312\n33534 35077\n42024 74696\n21997 52239\n28177 93194\n10273 29769\n16706 18305\n11828 82288\n19103 55518\n67233 84593\n466 99653\n8896 37348\n15349 42885\n4987 76310\n14759 23581\n10266 40582\n6464 98356\n35007 61787\n4325 82261\n9145 69077\n24191 76302\n10071 99533\n59378 93327\n29328 45213\n25843 63076\n22756 89296\n14071 93174\n10325 71550\n29434 71339\n17218 90857\n71887 95241\n87654 92652\n5942 46664\n58911 97003\n46249 91443\n69673 97474\n13483 26712\n56466 59918\n49353 75703\n23871 91890\n12482 91007\n32360 36613\n24376 76472\n4937 17638\n26606 49973\n78432 79525\n16411 17676\n9867 98251\n14957 65815\n12438 80913\n11618 37529\n66820 80706\n27510 46738\n61661 95765\n22059 47140\n12564 83045\n43967 54091\n31040 52249\n30854 49499\n60614 88954\n59603 96039\n11261 59879\n22868 96334\n40086 56810\n73570 78532\n2003 61279\n15858 49173\n5466 37910\n30100 91196\n69198 72783\n27286 67348\n22380 52288\n45566 94169\n18897 68950\n40280 56307\n38641 63032\n46567 70114\n44934 58029\n39859 53530\n8785 17874\n18566 26187\n37186 63981\n37488 66406\n1949 29400\n6592 43538\n21208 21280\n52575 85257\n4591 34456\n9160 76998\n32775 81008\n7351 80999\n30270 64739\n2790 69318\n12313 12372\n66855 70498\n32993 33331\n34164 48144\n10868 58961\n65585 98971\n25081 72970\n41057 42666\n43377 47316\n23965 34537\n35263 43066\n44956 92500\n31202 50752\n24034 34573\n52376 97536\n16855 80334\n14090 78885\n54893 93189\n20015 91811\n72223 75796\n46870 72685\n56820 72483\n29593 32768\n24354 58331\n14829 42950\n4310 65857\n2358 88058\n21797 88042\n11247 38028\n21270 21913\n54602 66437\n42224 56719\n19381 57916\n6366 46078\n33917 37391\n4313 31883\n41198 83957\n29812 41522\n2123 3076\n7783 19195\n11775 44029\n8160 98821\n11223 63204\n23295 85823\n53925 81040\n3869 4471\n36726 76832\n1492 16197\n17515 28695\n66586 73878\n70024 89452\n12951 59858\n36191 51371\n22199 96856\n72253 76426\n28808 63780\n32053 43334\n95273 97861\n13415 26917\n29291 32405\n15412 41275\n86755 99346\n7239 97336\n58639 81829\n10541 87934\n24072 27500\n81548 84871\n81529 92785\n31694 39121\n4119 87448\n45960 75990\n9544 64584\n6096 75958\n18718 94333\n29784 86435\n21502 93883\n50418 91193\n6539 78147\n8859 19914\n42236 60901\n5845 75950\n10185 27795\n17177 51727\n1924 73392\n2557 43135\n58011 60536\n8749 17581\n95168 97088\n7635 32532\n13871 95581\n41500 70766\n83776 86903\n33320 56915\n25049 99452\n77572 98647\n14973 23316\n8975 96675\n46339 57529\n73839 78982\n39224 64930\n9236 40312\n89784 94626\n8797 32290\n28081 36803\n5961 30040\n16861 85632\n42661 52287\n80586 86627\n66442 92765\n13735 46073\n7355 18143\n21590 85828\n37826 69401\n16636 18604\n22239 35003\n10962 32531\n41581 80165\n35608 84960\n37509 75161\n63738 70572\n39321 88352\n15504 50174\n11027 42891\n33757 54303\n18579 64676\n13404 49711\n4396 77183\n49677 72969\n8991 76303\n77176 99331\n4327 32273\n51460 70596\n42944 43703\n8237 31409\n41669 62414\n32691 52738\n32022 64422\n69597 82535\n34238 69128\n30721 86927\n7515 26986\n36703 53528\n43013 64612\n25110 65952\n17424 37895\n12061 14933\n40049 41211\n2931 87290\n429 62908\n6508 97660\n34198 83570\n23849 32105\n7692 18614\n52698 95732\n93206 98570\n32081 48397\n58441 65709\n47320 72762\n6712 11385\n67585 89560\n51305 91298\n25240 93381\n23910 38669\n11754 17297\n3206 14570\n36941 67067\n48654 99217\n4576 96341\n5019 54246\n12947 34290\n82136 93087\n49322 53387\n77443 91929\n57737 62127\n20278 50431\n36607 42345\n55337 87830\n43861 57899\n9408 36211\n25364 39169\n4210 29293\n11 57839\n3161 3677\n2420 46499\n29650 42294\n36223 80839\n34771 99223\n7832 65847\n529 20006\n761 84540\n4745 39425\n61051 94291\n62541 90351\n56036 58224\n28855 50043\n34510 83272\n2996 53325\n64218 89440\n20446 87522\n12524 67035\n54078 68646\n29437 66435\n7480 96426\n30708 84835\n11978 73229\n38622 90685\n12099 52224\n23897 27327\n20314 46800\n1943 81771\n26290 83864\n4420 66672\n16850 57568\n8818 29512\n77944 99995\n27062 77893\n14162 23565\n28138 85584\n20237 87422\n26381 33638\n30257 30531\n11647 73404\n67763 80830\n21710 64717\n15894 26480\n34578 61029\n47618 91483\n30184 66058\n52456 55258\n9867 80832\n74883 88444\n3763 81558\n4585 93839\n25115 69232\n72932 74523\n25787 42649\n69420 99680\n42673 98146\n13223 22560\n18714 65644\n8229 48371\n38700 63590\n21260 61584\n16882 96040\n23340 57310\n24402 50293\n17129 46337\n14825 41357\n55937 82739\n10973 47492\n23664 94458\n11560 84632\n66130 98104\n21467 58155\n52897 90377\n7623 61468\n30502 47028\n28078 44787\n349 76164\n70210 95949\n46879 81992\n42220 52031\n26959 58170\n44124 91870\n41394 85587\n11073 15240\n14998 31894\n61213 69002\n2943 10891\n73365 78125\n4386 34730\n29857 83630\n30268 57643\n35652 69995\n46654 78477\n24199 49641\n81161 83062\n5000 97695\n60727 86235\n17852 82637\n51704 83270\n32460 55441\n14123 51023\n11069 72550\n41715 51067\n75655 90926\n71240 93969\n28287 56078\n40334 80470\n49005 96535\n78445 93375\n76235 93954\n29633 83912\n15799 91440\n27653 94137\n25654 46832\n40974 51117\n14832 19236\n81286 99225\n67887 97186\n44037 63347\n95094 96109\n49171 75429\n33346 86782\n33820 84892\n52965 78963\n75000 77983\n3763 80961\n9692 43860\n30530 88750\n26243 83677\n5895 26331\n41875 62493\n93494 98055\n7811 84371\n45776 72075\n70261 85165\n13897 66595\n29728 66456\n63295 92759\n10500 95952\n11544 14849\n20099 88406\n60501 89728\n31070 68544\n18495 93067\n1186 63741\n37695 74388\n47180 75813\n39153 70560\n25836 65938\n30868 82409\n45933 91784\n1856 49496\n89342 90469\n49857 58123\n21969 61579\n37800 76547\n70235 91018\n42482 54174\n51886 64809\n32558 73966\n5380 38386\n82595 91521\n31902 39013\n63351 71329\n14716 22935\n51685 70875\n13731 78523\n37012 64071\n3168 6098\n16233 44140\n41573 70828\n71137 96881\n62653 74010\n5514 24382\n28547 69323\n13511 35191\n22408 76812\n58566 72535\n41947 59565\n4973 21091\n57157 61018\n30998 33760\n5583 22822\n42532 72820\n52491 84057\n39730 95132\n72610 89115\n53516 87724\n52336 55642\n49679 58196\n12355 52023\n92867 95941\n8760 27293\n40326 90901\n7639 96442\n42328 97509\n79719 92388\n23562 71234\n17395 63600\n65109 87256\n51077 71743\n7273 77730\n17704 55293\n37785 86923\n15079 64046\n34637 84363\n19735 76711\n9726 84783\n44475 71734\n36758 65428\n21236 70684\n36641 59145\n22398 77096\n45245 94317\n2792 4530\n4570 69020\n35661 50049\n39989 77401\n2709 19316\n13606 28315\n10813 31999\n59870 86205\n4273 11822\n1036 33222\n59438 65320\n8908 88307\n58770 93340\n41042 69834\n8536 48995\n17699 89701\n39542 75927\n45018 85129\n73443 88949\n33779 90098\n49273 98524\n73437 95858\n58452 96843\n1574 89067\n55889 96466\n55235 88168\n19061 70930\n52012 78366\n30907 79844\n61103 90946\n14176 74042\n29196 84237\n28697 51726\n11172 88642\n20755 39846\n1896 25811\n23356 82198\n25070 98719\n49667 50623\n1288 66175\n22467 34462\n12744 97045\n17947 67583\n17916 81105\n27753 41292\n67048 77013\n24201 48470\n9160 82159\n55846 70348\n61626 70827\n8398 95483\n7740 72061\n9380 73878\n30076 73135\n30871 92972\n35974 89138\n31160 60446\n49254 98799\n75222 82486\n13364 63724\n30177 35993\n42552 98848\n4702 60133\n5557 19712\n30059 31545\n29913 38968\n41003 42200\n28431 81418\n6889 61039\n32985 94455\n28172 86930\n10383 23641\n28704 56564\n50875 63225\n38358 53679\n66981 97815\n23982 59017\n9666 27075\n44464 75232\n20242 65398\n21410 71019\n67338 69413\n31417 52682\n72594 74413\n13901 71294\n33126 48531\n63612 82406\n8218 40697\n20347 43945\n60719 81321\n12084 81990\n50516 77935\n4085 89060\n43360 82289\n34590 55070\n6521 28331\n18922 80909\n4462 6113\n22637 91303\n66410 91652\n24678 75098\n80392 81131\n34995 80392\n71212 95772\n47842 60156\n30904 54867\n55675 56182\n1065 97366\n5063 92006\n34943 89369\n11189 72589\n44961 80928\n22237 66757\n55453 64374\n5909 49205\n57980 93774\n20604 92019\n42763 48868\n7933 68359\n67604 96388\n22185 61632\n46210 98277\n35386 82563\n56764 75560\n36597 65857\n63342 71568\n71378 95257\n69097 83516\n42745 69556\n13997 36356\n62600 63435\n26252 47070\n2275 94658\n21737 66840\n17778 80309\n5230 15959\n71198 89914\n56970 57274\n47744 66268\n50611 86633\n54673 84835\n48396 50273\n4540 86273\n77031 89689\n30140 48923\n52011 96448\n32133 81429\n48721 77233\n5867 31483\n35777 51128\n17833 54443\n2256 16675\n13436 88020\n11220 64041\n3863 19239\n6920 45358\n12802 45359\n19343 97765\n29164 63098\n3439 80244\n37215 46892\n63221 66297\n40002 42384\n32263 33257\n514 38287\n55431 71849\n67951 96419\n33182 67168\n6750 24181\n18586 48828\n7208 18466\n13011 72041\n41388 90638\n8516 10173\n46864 96395\n39663 63965\n46565 57176\n35346 60660\n2760 78642\n63891 77840\n42767 53531\n30142 89691\n8391 77754\n64072 77702\n51944 71399\n4061 41369\n17239 33811\n93372 96582\n9129 98716\n58070 75291\n7557 29121\n3628 39946\n17243 75825\n20336 97333\n16931 99935\n11997 72380\n9717 28676\n22163 70016\n50355 57999\n65483 67808\n11175 35141\n8912 44789\n13970 56477\n42546 84957\n9016 93784\n11702 29321\n32137 66574\n39250 89928\n6940 30810\n1065 12099\n25469 25635\n1111 60503\n43091 67679\n60905 79345\n31103 53636\n44062 84836\n48886 65525\n32631 53878\n42438 77082\n35731 48228\n9461 66943\n5399 13795\n27696 90711\n23298 53761\n21808 46253\n11858 97638\n56519 60523\n2370 17358\n35405 86865\n7902 74486\n34613 89524\n19119 91154\n17366 60806\n74170 83794\n24667 56416\n79349 86239\n54686 87324\n21011 99312\n64724 87857\n34598 48177\n34595 79338\n78053 78574\n4710 99109\n21965 63153\n10409 20405\n29615 47952\n65694 67818\n44856 81890\n37801 54200\n24852 73737\n49103 58997\n1721 12064\n25989 86251\n14114 48233\n16390 41302\n36824 47485\n19494 36597\n52356 79231\n64728 79546\n111 7377\n82062 86616\n18348 60953\n7188 60266\n76423 97977\n38721 98167\n17847 97556\n11760 85165\n20469 86336\n68540 93224\n16732 42013\n70611 99423\n53563 61444\n6637 67650\n47494 87677\n77742 79969\n10152 90866\n31069 52245\n82217 93271\n9924 36492\n9447 84278\n10428 73343\n14897 35849\n91118 94250\n53997 71636\n8858 66766\n59846 59990\n50566 63187\n42713 49774\n55705 55972\n87138 90293\n4739 65279\n23716 73782\n9043 49841\n20521 31788\n4001 57326\n4433 64809\n13075 85381\n40616 74288\n2434 27846\n28091 94417\n49626 85184\n25857 65131\n49797 64913\n4947 34022\n38005 70528\n59854 61376\n65966 66807\n20148 44094\n29699 33453\n289 1794\n18293 90925\n77285 97491\n26897 38024\n26379 26396\n60488 71926\n26180 56767\n13498 15875\n15715 22592\n42236 43871\n72653 99713\n18743 81267\n64307 79074\n31598 33483\n38165 42407\n58357 79457\n18805 58029\n4866 87378\n53808 58076\n23208 50948\n3210 84509\n25994 31635\n14901 60305\n15282 18578\n7568 75320\n82984 91349\n7547 24867\n17105 87475\n4904 12883\n79655 98698\n35665 47848\n12460 57656\n42852 61192\n60675 81178\n10655 74366\n48674 86818\n26236 84194\n4826 21861\n29516 68866\n17232 80824\n21582 40898\n56685 90969\n50420 96102\n5934 30585\n12821 37639\n51184 93898\n31847 82993\n81166 88046\n17902 25584\n35831 49212\n2015 85414\n14308 98963\n80210 95359\n48710 97641\n36225 80717\n73541 76097\n1783 53500\n51704 66930\n49821 78856\n36343 67552\n1267 86983\n43315 77871\n10108 21581\n40121 79182\n12201 16189\n6930 83948\n10807 29532\n67030 93461\n47974 70196\n11301 77448\n17636 98169\n30252 53546\n28477 73362\n5319 10700\n9480 19110\n23617 58812\n8213 44872\n72965 94788\n23538 29429\n21631 59240\n4088 22441\n51365 51464\n59599 73814\n38315 74867\n11646 94424\n20368 77353\n80016 88128\n89750 99164\n40205 49989\n67066 82473\n12888 50040\n29707 80532\n31825 71698\n32250 64365\n28752 64659\n26567 84165\n84427 88226\n6847 31183\n49412 66030\n40001 87837\n43530 68996\n26805 55156\n92874 96828\n45863 67471\n10756 14776\n7024 39984\n43474 81134\n76064 86388\n39620 61771\n16411 82785\n92094 95640\n27732 71308\n55711 81683\n19120 73897\n33524 33966\n87909 94741\n3978 19567\n43201 58866\n3654 58622\n92950 96489\n38664 93993\n2674 54529\n36423 76669\n84493 96933\n4342 70846\n75254 84350\n51606 60008\n1897 45463\n55576 60655\n73294 79693\n22346 87590\n8257 83728\n87321 89469\n41968 46832\n19620 66783\n57682 59166\n6516 58321\n28923 94838\n43263 90046\n35877 65386\n6841 78073\n84336 97682\n16651 31892\n14800 41503\n23820 60912\n17729 24289\n17442 28080\n4349 11703\n29388 93221\n30894 43235\n42608 70032\n64189 90018\n10262 82054\n42511 60326\n4578 26889\n26564 97109\n11649 21896\n51376 80761\n30946 79195\n66836 85469\n44290 71222\n49458 88716\n44346 47351\n55069 69938\n47477 97627\n47003 64031\n15859 19747\n11855 92318\n63291 93433\n36017 55021\n42522 57643\n66350 72672\n53804 98402\n24571 88755\n29268 77030\n33691 83426\n24510 51905\n68776 99909\n60628 79716\n32892 38745\n18581 56751\n77372 88013\n6413 84904\n62751 98334\n32344 51633\n35803 85324\n29480 55627\n39586 72631\n53407 86065\n43425 67292\n7830 21387\n35596 78067\n4349 76332\n21975 74307\n92419 98190\n44836 85712\n10842 70503\n24197 49776\n74715 81143\n38620 41207\n69686 93385\n51632 65714\n24520 43261\n31526 72462\n69026 90607\n13750 29347\n82190 84152\n17863 34271\n34562 85188\n18401 23667\n9002 27724\n22482 64812\n82341 86361\n66956 91702\n35950 62642\n41463 62329\n80023 84561\n36365 60654\n28720 40259\n12592 41967\n48124 99336\n13529 45633\n44875 67726\n2957 92649\n16968 86866\n5677 9104\n7618 89708\n3577 43732\n67747 74809\n64804 84033\n37691 59345\n54536 65011\n75962 92711\n28735 41187\n13686 80071\n3721 99166\n26663 70754\n111 20049\n79423 83152\n38636 57243\n18653 33987\n4908 11509\n41567 95082\n20237 35242\n11504 69766\n70421 80716\n64714 80028\n15270 33375\n24150 52409\n39115 86938\n38347 99202\n45161 65657\n33673 84772\n28784 68766\n44060 68467\n52299 86722\n13273 92054\n88861 93356\n29715 88937\n2625 92992\n90857 91153\n63476 68788\n7995 20964\n2600 13682\n52297 67411\n13307 13599\n42083 51424\n14501 27649\n10609 51284\n33760 98295\n35390 59506\n6737 59762\n44659 75742\n17567 96144\n63617 94176\n9035 38171\n43443 95343\n49980 68889\n26605 43672\n10961 90368\n42385 79472\n18715 92372\n36985 96018\n16866 61141\n18307 23083\n85869 95135\n59912 74682\n53534 95751\n11323 60537\n9731 17296\n42946 43666\n7020 15581\n3472 26128\n18371 52860\n34924 50943\n64553 70588\n54501 97556\n28868 91965\n60604 66497\n1087 90386\n9884 23697\n1139 14208\n7937 92075\n22298 56082\n45708 65073\n19149 80855\n28155 76233\n11967 81788\n2247 73990\n9173 98100\n50365 94258\n11897 22661\n49138 95242\n93537 93722\n60511 77958\n13586 79956\n17706 71831\n71383 87398\n19070 75978\n14684 49354\n6424 97762\n23735 75242\n7886 98011\n41015 78389\n15059 41709\n36305 42266\n12076 66763\n52761 53717\n41791 65637\n52416 78137\n66103 85153\n65019 78691\n84570 85718\n9534 77692\n23785 42810\n10577 36225\n55718 57289\n60409 82198\n52152 83525\n39177 77929\n1450 4575\n14457 70010\n34597 46610\n23096 24920\n62526 73241\n21477 25767\n37285 54925\n23786 99102\n15804 77081\n46088 82663\n22786 83489\n7248 51946\n76249 84792\n19421 37128\n33914 84047\n59243 99939\n11572 35561\n54487 86320\n19476 24249\n975 10077\n51550 78528\n23290 35479\n44813 66978\n9062 76399\n12076 94878\n52518 64473\n8703 68798\n56718 86149\n76147 94472\n7172 65298\n63529 79163\n63244 92068\n85761 86505\n50587 93692\n46386 58961\n46594 60983\n12393 72120\n58214 67775\n36615 99725\n17216 86088\n3894 79692\n29052 36991\n61122 87757\n66905 76566\n4081 78648\n4031 55842\n61635 85912\n17910 54356\n6937 73163\n16472 43769\n25796 95308\n9337 42275\n38618 92362\n18026 79148\n16199 48571\n15412 33265\n25621 75760\n30208 86832\n18756 26664\n20051 91799\n14055 41547\n1533 59172\n30213 70272\n38326 71915\n15769 52477\n29811 60843\n19940 69565\n45513 59587\n67785 94574\n55591 81062\n35523 99018\n30146 66277\n72865 76745\n7887 14018\n6727 22579\n15568 94460\n76294 84242\n42099 55833\n18560 81692\n39422 91363\n7878 93278\n44557 57274\n682 89286\n3911 65024\n15911 82616\n21116 89113\n54077 55012\n18176 94432\n39833 77663\n40986 86965\n31819 56042\n9329 45294\n82277 91492\n67137 91165\n6663 61753\n77001 95934\n5603 68491\n74691 90305\n48423 61903\n12895 38973\n31637 35113\n6261 43095\n73388 80937\n6630 65970\n60500 91260\n37500 62619\n5171 70013\n36945 99143\n36066 36079\n6229 84060\n69604 81685\n46827 71442\n71074 87906\n47590 57469\n52633 77715\n53014 70466\n83280 93216\n28574 31657\n59510 87766\n31051 77059\n45716 64835\n47642 83413\n29821 58017\n1289 79352\n19456 98264\n70991 99277\n41170 51117\n34983 81199\n14893 41282\n26656 70336\n37049 52487\n75589 88806\n28716 67017\n662 33475\n10555 56954\n78298 79196\n73479 98402\n33484 50639\n17663 41048\n52658 61735\n9064 81925\n7927 46041\n3020 12755\n27466 51257\n84192 87163\n29805 32956\n31247 82536\n8343 94905\n37642 54174\n47294 60545\n39622 57075\n73773 78743\n68551 82917\n50319 84477\n18247 56839\n34352 51105\n2843 91368\n38304 85182\n22009 62448\n87930 96169\n48570 75267\n82552 98073\n72988 74221\n51839 62239\n78899 98241\n70073 81908\n26079 73322\n56827 96062\n55854 65480\n20197 32372\n61139 78315\n72212 81217\n35151 96477\n34180 94082\n23102 58478\n10812 91311\n19537 24601\n74186 94329\n82937 89097\n66947 88449\n62011 82614\n46074 55258\n63828 87209\n59753 84979\n70551 95638\n63331 88444\n23458 39535\n8194 67083\n14492 24712\n7371 40904\n34636 46923\n22984 50905\n69326 86786\n37078 49977\n7788 11164\n47554 97641\n67098 75761\n10342 70664\n12237 26368\n8702 95811\n1754 67382\n61804 66044\n50908 91611\n1915 17327\n17369 69888\n6556 55395\n43905 75163\n46171 57273\n40151 93464\n20617 26047\n8926 75746\n77337 99640\n9418 74276\n48940 53636\n86396 96416\n65235 95005\n90740 98373\n67675 81199\n30218 40486\n1666 72700\n16040 59750\n7040 46486\n8338 12366\n76915 98576\n21017 38589\n19911 79344\n20746 33769\n4411 30300\n3702 86571\n4233 59937\n14701 92323\n22732 58223\n43084 90716\n19063 35638\n20008 38904\n54536 92225\n59161 89673\n82222 90357\n57454 64071\n27981 91669\n32684 93316\n40187 74571\n48439 75957\n17909 31717\n93101 98192\n20458 90234\n6785 48925\n4119 85565\n37271 52631\n52676 76584\n19145 47738\n50082 74217\n48030 61566\n71839 91041\n37892 85930\n5334 67154\n80361 84789\n92403 95042\n2718 60666\n19673 59438\n42488 97013\n27970 96385\n8099 97214\n64321 83668\n6620 43451\n54469 95462\n33464 42369\n11564 47955\n35312 52136\n24796 39180\n89188 98504\n20070 39331\n50572 60102\n29040 48290\n11252 16622\n65061 82103\n13432 46938\n54704 71503\n4005 19245\n65034 82388\n8736 16385\n19492 96698\n15166 38698\n57832 59205\n52572 63876\n21494 91063\n49125 82400\n8356 88131\n43855 57783\n46902 47392\n36503 43817\n31562 35292\n2627 41857\n31317 83114\n22663 65855\n42088 96374\n62254 83250\n12124 69179\n31309 51729\n10668 18311\n38430 53331\n15727 53646\n50991 84560\n3484 24563\n48085 83519\n10111 10278\n26088 50717\n37162 51097\n6411 39083\n54152 96392\n1407 24441\n14155 94458\n36156 52707\n85952 98629\n9046 53090\n10842 56191\n31644 88687\n40021 50344\n14567 46876\n39971 68361\n78770 86970\n5035 9797\n60518 88180\n20396 70493\n50207 72433\n9716 60689\n67631 92620\n11891 56068\n31702 33438\n11395 15377\n14241 98151\n32833 34967\n58509 92945\n15828 25837\n11998 74256\n27699 45393\n7129 51036\n55505 93216\n24817 25153\n57856 95096\n9712 52025\n1214 34334\n33368 38546\n51762 80062\n72756 86613\n51031 65671\n29731 38470\n22410 73010\n63655 87352\n55819 67217\n58650 58928\n4653 33840\n25802 71303\n51014 65728\n26443 79384\n11140 74091\n8962 35331\n14314 29377\n73379 80785\n33394 41875\n25093 87867\n44924 82868\n42508 91520\n55054 63371\n27909 65693\n46792 74580\n20303 66753\n55764 72632\n10308 42928\n17758 80526\n23233 83115\n54226 91505\n54984 58498\n26866 96955\n6638 79760\n57359 94884\n19885 86166\n84560 98258\n35575 77601\n70060 89327\n42552 63014\n71758 78781\n363 94397\n15979 21701\n29055 30044\n3049 59306\n9043 35554\n6207 43835\n62762 88183\n14843 81779\n51929 61887\n19839 29334\n10951 34760\n2188 88586\n35210 67881\n2365 20879\n24709 66013\n3188 85317\n12335 73162\n84173 94149\n49509 71199\n77366 89989\n4825 52770\n47876 70523\n6882 96268\n69157 72504\n27672 38134\n18071 18302\n35404 43106\n17793 81017\n29163 75437\n14179 63949\n27144 84167\n21174 67986\n1246 39521\n62029 68245\n3602 17536\n8437 94728\n4873 11439\n12800 42211\n61188 86385\n20875 64797\n2685 97164\n1529 9765\n34570 82681\n32603 62812\n14943 20674\n38715 41681\n12577 67612\n67941 96917\n4362 93970\n36487 53531\n8409 61620\n17033 20393\n21287 54702\n27996 66942\n16859 18289\n15808 18027\n18978 52677\n83769 87465\n25076 61300\n2458 59837\n4952 41591\n27649 84006\n31960 45557\n22608 23583\n20643 66849\n8895 61482\n17605 47780\n25311 97240\n38162 55308\n22518 95453\n68211 87269\n5105 18566\n80777 94312\n6882 12195\n34922 68150\n23521 92315\n20999 40005\n16278 89546\n28094 95675\n38728 94746\n60910 91170\n54207 71610\n34401 58123\n16196 27764\n33724 61315\n9127 22161\n53963 59529\n38682 41758\n35230 96035\n18700 86542\n30611 33093\n23924 88485\n13294 82790\n4520 60620\n633 60660\n50626 91798\n10438 49498\n991 69348\n52388 58222\n9181 19946\n10389 93146\n30936 58802\n11234 96298\n1354 35127\n71478 72049\n44241 65273\n4636 13084\n10640 34978\n18988 68293\n4104 68088\n68479 74202\n31525 89812\n43874 51922\n43721 90598\n42886 94256\n4144 7108\n46310 90128\n74269 82400\n11788 22645\n5591 55908\n7146 43676\n24518 42588\n26100 63105\n22296 98307\n22415 78595\n47058 90475\n29000 33677\n15021 70671\n2746 26250\n63980 73569\n61041 77777\n15299 48185\n78649 84309\n83106 92231\n9666 85316\n45013 87607\n15352 67035\n52058 87553\n46208 50793\n22486 96659\n32078 60267\n43652 70344\n11304 85690\n39455 83961\n81784 96048\n35261 72056\n9452 79631\n20503 48845\n42296 88298\n30083 75482\n2078 21597\n50570 86445\n59336 75581\n11328 84708\n52163 57041\n13572 41871\n13810 45859\n9531 18471\n7070 20730\n30134 91717\n82027 89875\n6350 24125\n3470 99955\n20372 55418\n781 17163\n52597 65410\n76168 91216\n9996 41002\n15523 87309\n15448 93699\n9711 90415\n39810 81039\n29562 79773\n47839 63377\n35330 53469\n29986 52996\n68500 81055\n50908 76413\n52002 82889\n28378 80657\n37382 89957\n53020 84761\n47882 61652\n95697 98045\n43266 86265\n32064 59573\n41304 49184\n7705 12341\n14588 61721\n14618 39772\n19662 28099\n89562 95924\n92748 95799\n87142 95230\n19145 86442\n53963 60361\n57172 90796\n32883 68313\n27149 73336\n52527 76430\n97683 98192\n58447 69988\n24158 52856\n65820 93363\n18520 44516\n49347 67668\n7252 50968\n16312 76471\n29818 37528\n8073 13224\n45583 52961\n46444 94268\n20947 72738\n26724 70560\n47188 95365\n82793 93241\n69311 99444\n56822 87823\n3465 70415\n29646 80947\n45274 68650\n63229 89310\n1104 92692\n19341 87687\n72843 93138\n27012 36346\n27920 28895\n10178 98528\n33295 56005\n10750 94586\n58335 85277\n63437 97713\n65246 94738\n6151 65716\n9562 58033\n153 66930\n39669 97796\n2731 30419\n20562 32661\n70231 88022\n48942 52723\n43988 66993\n9360 71190\n58414 91196\n41969 73719\n44807 74479\n4484 93486\n23861 85206\n15754 45528\n22915 94522\n15584 17094\n13358 83087\n19065 86009\n55904 90884\n69638 72564\n38432 77109\n80115 83134\n22588 83362\n7932 63809\n45869 98835\n23593 36465\n1515 16698\n13827 19413\n55258 73038\n47203 62281\n84660 92881\n33089 55378\n46496 51069\n8973 62700\n18923 39803\n2733 81801\n17325 44812\n32961 51094\n4874 33957\n63607 71425\n31138 71492\n55983 81414\n65019 88799\n62323 99496\n21296 54197\n30956 53836\n37832 60083\n85408 93817\n29203 74531\n6736 59481\n68051 87450\n17297 39888\n79039 84033\n24089 82432\n64866 93376\n10958 82603\n31952 99650\n29034 79089\n19232 66911\n10500 17138\n15177 70081\n16462 17845\n54762 77887\n14663 24417\n16029 75911\n6049 50109\n45281 72505\n60361 87939\n29015 66422\n64082 99805\n30643 86475\n41376 70705\n12785 27657\n53162 89355\n11495 30407\n70064 85268\n31620 75928\n25544 93992\n83597 88923\n3219 59563\n2573 91314\n42591 81182\n90346 96686\n17373 75509\n23029 95557\n26224 69587\n6766 55175\n6852 47062\n4524 74163\n398 32502\n15931 68078\n4441 27652\n39860 73030\n33605 85538\n43848 88781\n80566 91955\n8116 94450\n24088 50918\n50927 64828\n13375 64907\n48186 92429\n61825 70069\n39339 74006\n21346 87968\n15306 55899\n12102 99905\n52382 87196\n3438 61494\n1591 44008\n36559 99980\n96065 99301\n2644 77156\n89284 96103\n484 70496\n29322 60675\n3332 80553\n4855 96505\n72884 88705\n39525 97097\n31028 93909\n36720 94961\n26752 85733\n16224 25544\n60447 93863\n10078 35456\n19639 73428\n18924 42720\n34950 87608\n18430 82202\n62057 99495\n996 55642\n3275 75596\n8510 22147\n54338 79809\n34910 48050\n55932 62470\n12525 60559\n28084 85825\n50383 70812\n19096 56144\n21555 42201\n60746 61701\n44094 47491\n27365 31115\n78170 85845\n12457 24966\n1291 73448\n54504 93710\n656 91433\n20540 37767\n4649 28712\n65108 84095\n98 59122\n36830 64883\n6387 42521\n29047 53137\n56335 59473\n55132 83557\n58623 95730\n407 52821\n68763 89434\n41281 59499\n21475 57859\n73435 93188\n40739 76169\n14988 93869\n52498 56403\n26183 67585\n67294 82203\n90242 96603\n19713 23731\n18792 35211\n10174 29392\n20534 41018\n28067 34284\n4707 11912\n8629 19448\n58422 85322\n67288 74251\n23664 46920\n19730 62301\n3535 93857\n65559 81735\n6160 26944\n67385 97473\n24480 49512\n46070 89550\n22741 60732\n12053 83171\n58978 99899\n4937 97981\n48203 99159\n1988 16968\n28336 44326\n18333 79229\n32531 67257\n33528 97767\n21860 24696\n50557 91677\n40753 91069\n54122 65901\n10438 55969\n32273 83723\n51208 81257\n33656 37703\n18033 42652\n20816 63097\n50766 64375\n52047 66015\n45060 68082\n46967 61044\n85184 96721\n1491 73835\n62885 85123\n29541 67009\n2211 36875\n22602 63718\n36950 56025\n19689 77162\n40507 58151\n39415 89053\n19021 62385\n38946 46831\n3000 70482\n28355 40812\n23145 39044\n3414 32345\n74467 97225\n15330 22379\n40487 43712\n21983 87636\n15949 96848\n3882 77947\n12723 83579\n8910 24569\n78821 93936\n4232 68649\n40626 43286\n52876 80046\n79416 93440\n63687 78837\n23810 82828\n38106 86719\n7266 64812\n11962 82106\n38402 94366\n5743 59452\n51687 86496\n22240 94743\n37919 77749\n70272 73383\n20334 99867\n15231 89117\n68664 97101\n5460 95853\n67131 94904\n8553 34626\n22843 88296\n32648 92997\n48068 97244\n48873 56520\n1125 11432\n37027 54875\n15395 58482\n14226 16424\n16753 19274\n23694 76921\n41161 85441\n15565 31536\n2471 21718\n12973 40849\n38483 60462\n55831 91629\n49738 83178\n38019 98770\n20660 47535\n16033 64638\n279 83923\n8339 11376\n88228 88520\n52296 74135\n52343 76798\n18148 61686\n18240 69784\n35969 91057\n58639 77029\n34980 93170\n24178 31503\n40030 93072\n14172 78018\n24996 84974\n2331 77640\n61123 87030\n12535 58295\n461 43983\n64875 85536\n3045 6836\n10191 20983\n35761 49653\n58280 89041\n30638 68153\n16473 21047\n46203 68842\n2483 98842\n24361 50273\n29926 99197\n9294 53748\n8654 52319\n41770 76329\n17421 45001\n63585 85653\n12814 70312\n46630 98150\n2300 56838\n21396 32553\n18902 20743\n48189 91552\n33103 33752\n46882 85790\n44646 83372\n22720 76561\n8422 28758\n69026 94613\n30906 56108\n26539 41441\n28928 74369\n2495 34005\n57404 60683\n79319 94866\n3019 74609\n33567 79863\n15564 73074\n12528 47882\n54472 84766\n84547 94004\n22553 57751\n92103 92886\n44655 68824\n51576 94720\n31167 59774\n15769 89689\n23320 55297\n11915 19357\n7049 37511\n40770 80484\n33687 40323\n6945 40286\n19246 56512\n38363 66349\n9443 51029\n53790 93518\n61044 94478\n36372 36466\n24160 95969\n13153 55852\n53148 60919\n64647 80928\n67442 91110\n48228 86618\n35937 56958\n36923 97476\n1549 38743\n53846 54295\n11064 92897\n75891 82571\n53735 78404\n59112 77462\n20770 51453\n59455 94695\n543 11134\n51522 79802\n40824 71552\n15692 66536\n15803 83724\n61999 72660\n46541 77890\n5341 38755\n14785 39186\n7018 51920\n31327 90145\n25738 52551\n50418 64392\n15924 60229\n40467 72157\n39557 61380\n29748 55057\n35827 97207\n23888 30111\n40157 44676\n14215 73849\n42329 52230\n36524 78673\n58423 94754\n55553 96374\n35869 86589\n28304 91185\n14970 48734\n35490 72874\n36159 83952\n27828 53639\n38100 44514\n21414 80671\n24523 40967\n7888 31648\n4437 65102\n57703 80347\n20931 75846\n13016 26238\n3777 44791\n19470 98954\n10835 25701\n13141 30843\n3868 19357\n36528 94268\n1839 7235\n318 33639\n3296 85990\n36560 95433\n42209 52971\n17476 38678\n55259 73712\n4023 85255\n28154 52863\n29463 40084\n5227 37104\n31324 58761\n40956 48325\n68003 71254\n56890 95668\n55423 99553\n3997 35552\n30696 92636\n21823 86138\n73825 87898\n83727 96334\n25509 81939\n31372 85091\n8731 69265\n23712 74979\n8424 81089\n29790 71182\n24318 66703\n26197 30683\n976 36355\n36764 41677\n15155 58057\n15780 75649\n44101 58115\n7266 65082\n29431 79227\n19926 92506\n4569 41971\n20999 40114\n30219 65260\n27970 63599\n10112 43730\n80740 97167\n31317 71598\n2871 62536\n57183 68935\n34364 42555\n72445 98510\n54615 71525\n34177 60001\n25118 54067\n186 59270\n20263 73825\n80716 95086\n59699 84796\n42990 44255\n553 17180\n67953 90484\n62983 80484\n14851 92915\n26511 85113\n76029 85782\n18048 60879\n41104 79938\n37986 72902\n4948 65383\n7708 74766\n83309 86615\n64767 79699\n37317 86951\n47656 76446\n30067 35873\n32541 61287\n34970 65774\n69752 82591\n161 79180\n2459 54105\n11903 65165\n40052 46327\n70298 72842\n22086 91331\n2468 84634\n15352 99619\n32137 74120\n19455 69371\n13923 83127\n48515 86376\n28688 53319\n43794 57633\n83200 98517\n3595 46585\n17040 77406\n72854 73496\n61420 77832\n74844 98396\n45152 51793\n31683 41786\n26521 87427\n76636 79171\n65468 94679\n27311 93840\n20488 26491\n78497 99439\n20034 41773\n21340 83621\n48968 90844\n20108 87603\n17682 53716\n29018 77523\n91201 97869\n35073 46525\n12805 64940\n33467 85328\n49257 53723\n67230 71957\n58239 71564\n36164 69751\n96433 98194\n43350 45485\n1769 38936\n29670 55263\n92997 98610\n28508 57115\n23682 94240\n453 85402\n12304 89630\n28372 81756\n10536 66363\n6765 31333\n8669 55293\n6618 16548\n20118 54467\n67012 80817\n49031 50416\n10692 70842\n87545 93707\n48669 82522\n25413 94459\n13566 94021\n61239 95275\n36707 67154\n16456 84166\n6779 46380\n35661 91583\n4983 56730\n1074 38645\n47651 82119\n59413 90705\n39626 55100\n27559 60288\n34227 46571\n4299 22303\n115 72883\n20537 30165\n69649 96406\n43606 60838\n33952 64395\n47487 76555\n5132 95957\n65624 67730\n5779 99026\n27968 97114\n61665 99286\n23059 98236\n35195 39909\n12784 63151\n40257 86965\n12851 39350\n77176 88639\n3307 92757\n58180 63129\n11524 95942\n26922 77660\n30230 43431\n9794 95758\n1291 95126\n71899 89625\n32222 36232\n42814 64666\n26611 55756\n25729 29867\n11595 65822\n17473 76177\n27153 87116\n30621 58827\n3138 78296\n23088 76026\n69103 82421\n59083 89274\n43260 48783\n47415 94032\n22317 95032\n3688 31078\n63767 69457\n63906 71014\n22925 52562\n37480 52208\n2717 70283\n59645 93638\n33159 80468\n61133 94471\n56805 99830\n11373 50223\n40041 94322\n47133 61176\n89732 98398\n27105 75165\n81806 89606\n668 28330\n22616 79038\n39466 75386\n5655 9752\n44886 97075\n75274 91075\n10706 11719\n13858 95559\n70526 81389\n5629 66128\n4781 49783\n42541 74827\n1044 18172\n30852 70279\n2729 22914\n5661 82605\n18949 24109\n24554 32385\n11384 61813\n3805 42005\n24390 36157\n6094 85683\n21484 53718\n18412 36524\n18361 61262\n43076 85400\n16589 20136\n40422 70357\n7674 98571\n53320 71080\n72022 79778\n68349 70457\n59789 64203\n4291 30658\n74240 96490\n17146 29803\n8573 62309\n24281 65059\n33960 44304\n65515 83953\n26644 83663\n25811 74459\n51444 57170\n77584 78665\n499 14597\n78745 99438\n17923 32365\n16805 31505\n22414 73398\n42319 85429\n2880 33638\n62675 66348\n32407 90637\n76363 97457\n19349 96987\n18062 93284\n42341 97647\n12016 33935\n15727 99791\n61810 64309\n3892 93127\n55901 56183\n2057 93353\n11081 61626\n30838 48174\n6999 44288\n33667 79682\n80683 93720\n1450 93298\n5603 50187\n34457 39002\n5395 8789\n41422 67327\n10877 83128\n46506 56418\n55596 62150\n30492 76231\n79477 88063\n23883 70650\n1391 63564\n32843 74852\n29892 58472\n25729 82189\n13779 48953\n24542 65028\n29904 69509\n53917 85417\n1274 28347\n41473 63762\n55959 82692\n7079 10903\n5715 94791\n61326 86611\n39441 47876\n57131 84706\n64982 84167\n27424 86677\n27692 97207\n53914 74908\n11489 93986\n79084 82215\n10600 69025\n48039 91514\n33448 93579\n81126 95089\n66877 77025\n74912 75203\n51334 91573\n6203 66527\n17932 76921\n61931 97676\n20252 95816\n30912 80498\n38177 58663\n14153 81377\n12481 23414\n32471 33828\n27938 93024\n4872 33885\n3845 14965\n46909 71509\n88556 88587\n13579 90568\n85984 98606\n18028 86597\n75833 90704\n8283 26425\n20769 60854\n1773 40380\n55238 89235\n64076 75015\n50606 54921\n75841 97917\n8210 33447\n13529 61509\n58342 71930\n22750 88679\n55388 70732\n33425 70697\n5462 24538\n34955 88173\n6949 13493\n15537 31598\n25425 90581\n21339 69760\n27122 84450\n9115 39108\n33928 63767\n7951 98150\n38559 99527\n75815 91533\n28388 62538\n27685 76374\n47165 77376\n43837 53838\n1451 56800\n20171 43780\n23089 23109\n39143 50419\n52151 60609\n6704 49005\n32998 89961\n45638 99845\n6216 75639\n18244 37041\n5103 51251\n34667 71035\n19362 99159\n31543 64249\n29165 51296\n2772 81083\n46252 79339\n69254 83829\n32840 32962\n12625 52797\n1276 48921\n55928 80684\n44851 47439\n31269 45481\n14397 89822\n79736 86496\n54794 70095\n47537 47734\n67231 90204\n27629 84200\n53530 73025\n24492 72016\n72657 87999\n36939 43299\n43119 76572\n41648 63676\n20493 46803\n39259 51025\n73806 78160\n35048 89637\n48231 65310\n27743 40989\n26305 64094\n38132 63412\n16526 30668\n21872 31931\n77175 86779\n5689 6280\n13412 42990\n11579 18957\n23650 60544\n26950 42913\n60405 91554\n61067 70896\n33606 70862\n41764 86921\n53421 63536\n56515 74965\n33594 74303\n53037 92317\n69254 80015\n2957 25558\n19165 35997\n1324 41179\n46374 59127\n18543 27710\n41129 90524\n9314 44718\n256 73228\n44923 45039\n46732 49502\n75523 89216\n58131 81408\n31347 56546\n18906 70482\n22876 75952\n70229 71170\n2577 10349\n13897 96454\n32078 64971\n19741 61203\n27558 55500\n59918 86448\n7282 58647\n25361 42855\n32808 53594\n64706 81299\n6462 24480\n20418 82313\n59239 83352\n23199 80690\n58017 98841\n12919 60736\n3345 57338\n13217 76015\n65996 84901\n89968 95455\n5470 77329\n4017 34045\n15917 67230\n17173 50931\n41835 56384\n2734 64592\n38563 95648\n11334 48689\n21495 43514\n38790 87802\n39558 79988\n38691 39279\n2005 84818\n50583 86138\n57906 60839\n55104 69130\n23294 45859\n30924 70860\n55106 91988\n4377 79875\n45597 70606\n45918 82246\n55370 59680\n38411 57718\n24104 34404\n28232 45487\n6398 89414\n88306 88428\n76232 77399\n29770 82122\n38451 77464\n57896 92626\n16950 68130\n55329 89409\n38611 95224\n72537 97602\n19641 91179\n16809 90809\n25474 53336\n12798 98153\n3122 53902\n22029 29079\n12331 86508\n19228 98456\n42034 85418\n41359 41937\n44228 83058\n22251 64503\n43657 51364\n1042 82751\n63146 84289\n1814 23905\n21037 82891\n88876 93191\n17990 80013\n28168 50280\n20062 63263\n20355 73379\n14314 49201\n54600 77689\n9283 66500\n9834 81236\n46375 59278\n8422 62202\n3967 66458\n33343 54011\n22245 57682\n24742 92842\n70118 90427\n32829 52826\n28694 43746\n29941 74957\n8407 56642\n4259 62107\n83080 96400\n43999 69932\n25145 55780\n7601 40584\n55040 94523\n37571 41315\n5387 70160\n17821 70309\n2914 14885\n3970 46632\n17599 35148\n18190 70463\n3243 22205\n30054 98441\n45465 99493\n3580 33412\n15986 53759\n25719 88533\n46142 97193\n65462 76431\n8064 32365\n16237 87481\n19341 53203\n14051 22407\n1025 68625\n12383 37942\n66453 98444\n12450 60306\n6606 18174\n27683 30711\n54555 88561\n73099 80747\n55034 92250\n56590 63143\n8817 98391\n12757 46430\n13114 43908\n82546 85793\n53661 83605\n78017 89647\n66847 93779\n8270 66531\n36883 58734\n4071 69363\n5873 95299\n51909 86944\n10560 63002\n80425 82428\n27371 85386\n38006 46449\n12798 18760\n44568 80039\n8307 57269\n21907 85119\n31403 51449\n14342 98069\n46740 70981\n82095 83368\n7414 69710\n10603 41663\n26515 82072\n36173 39414\n24342 78170\n72628 89350\n15728 25170\n30539 45751\n22645 30080\n30652 99237\n7968 58366\n64845 97986\n10231 87095\n16675 25775\n24119 38772\n20538 70129\n47941 89448\n33730 50283\n28547 88886\n3036 7630\n56239 72368\n2203 81638\n9692 32010\n85255 89008\n292 34585\n22467 83256\n25067 25797\n9357 73875\n20117 35893\n75198 78073\n92728 98455\n18008 52160\n4786 52279\n95438 97787\n22999 87794\n87600 89993\n38777 46244\n35191 99248\n7049 25427\n62635 81503\n79814 86856\n68645 88200\n3990 85443\n53529 87939\n47205 99008\n24004 73350\n24178 67378\n24474 75011\n57985 67905\n58923 98939\n8163 76467\n40301 86037\n22759 33028\n23369 71387\n40184 42363\n85020 92066\n28437 63163\n71241 92405\n48466 71933\n81009 93561\n86155 87981\n59561 76960\n40599 52450\n19711 81656\n38978 67975\n74663 87670\n23654 45951\n16806 30694\n22565 24442\n21543 47822\n1742 74578\n4573 72601\n76675 85618\n3769 99301\n22305 99630\n72254 80247\n31936 33977\n23048 62787\n52540 90932\n29893 70258\n77222 96007\n22246 71885\n69282 97353\n53320 90976\n73887 82657\n45143 58330\n25753 98080\n56112 84747\n28117 40982\n8030 77960\n41936 84509\n49066 74966\n12772 98475\n3988 65751\n38988 39188\n49059 82621\n63836 69210\n5653 21805\n41998 63388\n42897 62664\n22339 90623\n1680 78545\n7358 21865\n77841 99160\n53845 89028\n2435 21230\n50101 91710\n20251 79370\n54828 92336\n40044 81177\n55271 97650\n38380 42341\n4500 78008\n19113 90017\n51913 92286\n12765 24250\n50159 56821\n55838 88749\n4846 60589\n90853 95622\n64890 86875\n15789 50779\n44219 88264\n354 47507\n27359 55239\n41161 83663\n42063 79348\n522 26188\n35852 93184\n73276 84997\n31686 68354\n61744 74082\n84774 96362\n72756 85530\n11829 36540\n27331 44170\n14531 76848\n54969 65958\n26836 85732\n24355 76361\n61167 74182\n42685 96894\n75842 78913\n13915 81744\n13387 69140\n44573 54860\n58843 71045\n42612 63260\n5039 28246\n5975 10262\n4258 21379\n37878 69663\n89347 94719\n34722 42975\n38209 46825\n73483 87312\n79959 98197\n75995 83052\n13980 48903\n29951 62516\n40972 76922\n5428 37004\n29720 52720\n60457 81788\n5345 26540\n54095 71477\n83015 89490\n75224 80839\n25463 61586\n37060 75001\n49781 89349\n12733 80410\n20847 44003\n57357 80569\n5190 58359\n59936 92779\n60342 98458\n53153 86366\n53198 82462\n20227 95560\n24595 29338\n45767 59167\n16157 46791\n50612 58174\n29801 45676\n18096 82883\n15714 99465\n7741 16275\n18024 74892\n28965 52767\n20608 53594\n94303 95145\n65023 90617\n92810 93639\n16790 59223\n24140 67909\n44108 59957\n5720 41722\n8177 58517\n53500 74211\n35988 85777\n38462 91520\n21637 56346\n58664 69064\n2905 38874\n2412 65379\n39731 55268\n59930 77269\n33696 58941\n26898 72487\n51063 56125\n14703 45607\n17665 94229\n3530 91529\n40226 73441\n32587 98112\n43479 64990\n91255 92749\n2563 78313\n565 40306\n75374 82745\n35961 47581\n41988 47611\n7400 15836\n13126 24219\n82161 93556\n36607 75295\n32022 68686\n11146 83357\n22523 29122\n71998 92886\n24823 90809\n9789 85406\n36186 85597\n24482 39327\n29824 67380\n7314 83958\n92796 97443\n14013 15633\n9728 16937\n27410 53803\n25694 65362\n49721 94375\n4297 62219\n81273 82727\n63250 74573\n3657 77585\n26733 73557\n7926 71276\n39673 53584\n15575 73366\n41123 99350\n65856 89643\n13956 31976\n27756 82854\n6113 20268\n2125 95682\n38063 54552\n64553 78595\n37805 56825\n5984 42990\n57351 81305\n53281 78826\n14160 28001\n39327 78958\n82 29987\n41457 83534\n55049 85841\n36799 89020\n41896 66468\n5815 81429\n37191 98333\n15059 97511\n15256 83573\n52084 88683\n41482 54282\n47424 49448\n4806 56552\n4537 63790\n1080 13030\n25003 60040\n45784 59081\n1011 60410\n961 39598\n6952 8569\n80507 82273\n33013 60926\n31727 71854\n67369 78961\n72129 92691\n33796 67052\n84481 89068\n22017 70554\n12536 63756\n81207 85995\n37083 82363\n53697 78453\n66298 81942\n380 57647\n10800 11494\n39175 63381\n8110 95668\n22631 81262\n46956 47995\n47779 82362\n51717 84681\n76723 80018\n29981 34461\n27818 61776\n52474 69542\n22351 64820\n4022 95267\n81555 98871\n48364 57888\n44083 54049\n31912 74491\n61862 66208\n10163 36748\n10220 47204\n17472 28330\n28546 94042\n48082 68750\n93681 98543\n30418 66745\n82320 98874\n32861 98879\n70716 90576\n60784 72434\n25986 85058\n73813 92215\n31511 83507\n62842 84368\n61981 80336\n8871 14771\n35921 64127\n40649 46388\n27062 97589\n6045 70851\n25518 51592\n47603 58757\n16507 69277\n50647 63349\n2526 49576\n34961 36139\n33081 39786\n27433 33803\n23793 56746\n43139 87020\n14265 29420\n10993 35749\n1953 59824\n9568 23355\n85024 94919\n71643 82002\n5245 45805\n28970 53052\n68057 99244\n31186 69113\n78911 86144\n79260 87944\n155 80828\n10051 40716\n10692 17057\n42845 86594\n89887 98822\n41420 43437\n1155 66700\n85193 96745\n66204 87466\n21017 58234\n51090 83575\n57091 65836\n47616 76931\n36215 60498\n6153 41840\n60825 62618\n71025 80222\n51472 98577\n86338 94177\n80257 81695\n43981 93990\n53156 55749\n79456 94691\n18172 76620\n66152 86285\n72251 99674\n6492 11028\n89233 92560\n22877 45897\n56481 90882\n59208 91013\n26698 87064\n54227 62050\n71442 91158\n70313 94630\n22779 24683\n22804 54428\n58526 63153\n7009 79395\n10539 24443\n68 80707\n37848 68558\n75085 89179\n37505 73225\n14332 67748\n15222 20617\n25442 44214\n4254 65735\n20728 73562\n94034 95390\n22633 55368\n13483 59296\n5100 86452\n2362 19457\n17170 64853\n68692 88877\n20844 27293\n36617 88832\n32144 95118\n15967 54965\n7162 89926\n39684 91536\n38322 67028\n37241 63450\n16752 67789\n15341 74253\n6386 12535\n22986 78308\n16068 38440\n11253 65564\n63985 94362\n43482 69147\n5758 8214\n37223 93988\n66508 84071\n12968 65111\n66678 86806\n40361 82000\n88383 88443\n30881 72076\n33965 51904\n9514 75314\n96765 98391\n4398 56601\n40871 65982\n19248 68723\n20538 41789\n5854 87851\n12419 70995\n20239 59207\n13970 72123\n58552 63760\n49084 96717\n55589 96361\n41413 49412\n8399 96242\n36157 50038\n35856 67589\n13917 22202\n24886 78864\n45675 75380\n13968 24806\n74860 90436\n73918 79850\n32835 59827\n5974 21939\n11113 20223\n14687 91298\n4507 90536\n30108 40803\n77113 87545\n22898 57487\n50267 67449\n78661 86129\n44692 52725\n42866 87214\n55442 68596\n7941 84025\n39222 92200\n2693 69273\n24060 96814\n60163 76066\n1026 54789\n31489 89522\n24001 36169\n26083 51461\n368 77734\n58023 96159\n4410 47682\n72918 76326\n35665 98261\n62092 64163\n50769 88556\n32871 36297\n20377 64032\n18526 95233\n30429 72236\n6776 94271\n51252 85389\n16870 99434\n14890 70694\n2537 49398\n22461 90407\n42432 99131\n54448 80491\n8619 39567\n57490 98829\n21930 70417\n62690 78809\n12087 54767\n22940 47520\n56194 56313\n24069 66968\n1264 99451\n38153 96809\n10093 87039\n5810 29328\n20242 33088\n14559 38131\n45507 90533\n24915 58262\n51551 52519\n737 56704\n15420 34848\n23128 32720\n9937 38950\n63794 88204\n47566 58888\n6480 91303\n69297 73208\n17012 69738\n11290 25999\n32796 84140\n47144 79730\n13963 25001\n43998 74774\n60567 86867\n40550 43293\n16203 64723\n153 90497\n4561 58528\n35039 93260\n31313 73357\n41499 59529\n1685 31697\n34116 41444\n7109 82768\n64214 95912\n52855 76598\n43724 96590\n7520 18225\n38188 56248\n25971 32461\n49475 91120\n23752 88647\n40848 74856\n19046 30408\n73486 86490\n4225 85569\n7891 50333\n23070 98694\n31799 89671\n17061 78224\n53592 78908\n61986 76739\n54226 57370\n50160 65939\n13662 83686\n87938 90738\n59498 76603\n21852 51447\n27575 42024\n59420 85722\n46433 82521\n45704 83656\n4813 59373\n35074 68041\n20682 26498\n62313 96499\n30648 48567\n6671 66408\n27013 43839\n63979 67388\n52599 61615\n24833 36639\n11353 98275\n69860 97178\n18088 19551\n1939 58426\n70077 91391\n19100 77895\n14011 60605\n39543 64022\n70279 84279\n9427 89504\n48924 67273\n50469 71978\n18593 73204\n79677 92982\n52540 80154\n12274 59193\n10037 22405\n80640 94630\n67166 88790\n34125 90578\n44190 64662\n48896 95299\n3478 37681\n56784 67446\n65138 65455\n17098 54706\n25224 52976\n11189 58141\n8600 70576\n26027 63693\n54297 78108\n8867 67821\n56794 64498\n65118 80978\n13882 22728\n2945 63594\n46857 80170\n13535 87162\n42324 85042\n39606 98179\n41630 53636\n36822 61607\n13709 92626\n68504 87090\n53668 78980\n22906 48259\n74898 90148\n16653 78719\n51729 89859\n19635 87494\n54956 78786\n22904 46323\n24763 90799\n14732 82058\n44620 97717\n42659 59088\n48140 80744\n78048 90473\n22121 36357\n20746 97359\n49695 81812\n22357 36064\n13435 87073\n8070 64543\n17922 28752\n81601 90987\n32214 92708\n48106 71518\n28653 67454\n5556 17174\n41669 79869\n21380 92240\n35673 64846\n14619 93914\n9671 18033\n2338 49761\n24712 49954\n34441 96229\n52452 85124\n99697 99987\n31892 45498\n50939 86399\n2380 59852\n33140 74000\n11574 38147\n383 11924\n1415 8631\n20394 34723\n8653 48851\n41284 79383\n19670 34685\n34911 85615\n21210 24276\n49923 71365\n73484 81054\n67180 75971\n49080 76142\n25948 88557\n40451 56423\n47081 70851\n57880 98744\n13373 88689\n82065 97578\n51457 96206\n7177 30691\n15745 18973\n25033 38766\n83067 85668\n24513 90970\n544 47668\n46543 74631\n53424 79219\n71975 95297\n4709 70645\n72629 77427\n27759 66555\n64783 76873\n73361 94932\n98741 99390\n7178 13506\n35802 87881\n15538 46950\n3619 88765\n28892 56754\n60182 64433\n660 18153\n52352 78019\n25818 74399\n34883 64105\n48034 82100\n5250 26437\n14778 73318\n3134 24340\n28433 43647\n25120 40104\n3926 42448\n54647 96932\n3868 12335\n3772 17769\n7972 21191\n39871 88259\n26789 91640\n7067 25518\n47697 62898\n7317 70436\n55283 59572\n49339 65026\n8477 87287\n9141 9753\n5124 86110\n15891 71211\n7349 55003\n31420 64103\n16395 86308\n49947 84397\n6341 59020\n22063 74849\n29081 59981\n2959 12191\n40304 60860\n11877 93066\n17260 94279\n8901 62598\n31747 48037\n1514 49625\n28944 49691\n24900 81736\n64663 96116\n46257 64691\n41731 90025\n51963 81412\n2665 90136\n46821 69585\n46044 77306\n4204 70951\n79721 87639\n4404 15358\n13525 49176\n90656 95422\n41958 55949\n27921 87651\n51720 77659\n32571 72543\n16384 97842\n31664 49289\n4236 50619\n84963 90946\n25840 41459\n40348 50331\n14834 17525\n53225 79667\n1424 69080\n20884 73754\n12903 78777\n59418 75415\n6322 89078\n26901 98310\n34270 81366\n43969 47949\n34965 64409\n25011 92075\n20914 31925\n25680 97898\n30119 85366\n38298 43208\n59681 60239\n72770 80925\n38558 52809\n59862 73589\n88919 94073\n11203 62732\n35334 72336\n48605 64546\n13055 37153\n34407 98250\n38362 76323\n26594 56735\n65037 89154\n33554 97678\n7676 84248\n16926 17609\n15067 69628\n10329 37161\n58542 85745\n36266 38933\n72052 76729\n50805 73534\n1786 70965\n25293 48702\n27610 77234\n19531 41612\n12444 54042\n693 11653\n705 50477\n5339 62657\n46970 91216\n20051 62743\n11264 42455\n24518 76144\n49081 52139\n6296 27317\n30392 94048\n11824 55738\n35938 74828\n975 86358\n41503 84365\n75667 80531\n68933 79666\n78940 87402\n12718 35306\n4336 34586\n3628 56552\n16283 31728\n250 39231\n39297 64811\n58797 94871\n25518 64120\n6978 61602\n25354 74279\n16650 23531\n5190 51190\n31627 48887\n42946 89445\n54210 71161\n22286 84082\n64302 95362\n34964 50316\n68428 97523\n10005 43258\n13769 56032\n69570 96731\n84826 96558\n49008 60010\n37449 85235\n30885 65719\n33570 82922\n51213 92235\n3832 25127\n50549 86039\n16501 43945\n48463 75564\n42854 67053\n38962 57010\n34177 52887\n4504 74620\n83269 98756\n7250 97148\n52431 62588\n55416 94651\n42386 77923\n17838 57084\n72034 83880\n46680 59026\n24046 73031\n65941 85757\n24902 69359\n9938 45941\n22496 34434\n55052 93384\n37691 73840\n2216 15566\n82431 98979\n4481 80740\n63349 79501\n10431 29142\n20571 62099\n3007 44228\n39482 92091\n69118 91229\n5636 92094\n69359 80424\n15937 85451\n22447 83872\n64292 77706\n14697 82398\n54595 77150\n21690 21881\n31372 94970\n35826 57256\n3057 78233\n3020 64524\n23601 69660\n6889 78038\n60521 80403\n35667 63390\n59491 73186\n40392 57312\n61444 83046\n71807 96214\n47560 88086\n32579 43395\n71953 89946\n65344 85241\n41116 54080\n20202 57149\n40608 89236\n4979 35641\n53606 92785\n18638 23061\n12346 84227\n52276 94071\n47537 66463\n34811 82414\n1740 11082\n34768 63988\n41993 98767\n23796 59147\n43101 53614\n27160 46643\n39518 48849\n54765 80797\n11212 79932\n34046 97813\n61730 69795\n53886 86163\n58487 64249\n11488 59716\n38798 96082\n4275 11169\n22014 78159\n6813 46546\n52348 77295\n5688 59849\n62382 73071\n26910 32392\n44878 76434\n9654 14584\n74922 84908\n60326 71722\n7057 35419\n11756 58638\n5965 33920\n88409 93544\n84716 87654\n2155 81966\n8271 59757\n17318 33921\n42144 77694\n41812 55935\n54791 92774\n25904 28855\n25430 45840\n49242 61168\n44090 49832\n19866 85651\n27641 40893\n23753 93914\n28270 89905\n6258 35836\n79375 86036\n39955 44546\n21405 77921\n24409 72327\n17563 46761\n49463 64935\n6149 14605\n77582 92608\n5261 94317\n7164 98397\n80294 86424\n27100 85757\n57149 61712\n67834 89071\n27266 96208\n18787 87213\n18360 82440\n5497 42505\n31587 42793\n8161 40256\n48669 85539\n98526 99346\n36893 47434\n27844 62436\n5657 62006\n44246 78262\n61187 81992\n76788 83627\n4798 76360\n61863 90538\n76764 93253\n13463 21973\n24770 77770\n76710 80313\n30928 31679\n33039 98002\n10916 73720\n56941 91315\n53370 68422\n30971 47466\n74187 77567\n30131 79933\n36024 88369\n72149 80081\n73551 96260\n11488 68577\n51601 67600\n11777 34123\n35166 39803\n83217 92909\n26715 88094\n41583 73173\n7927 52792\n34144 92599\n12749 75509\n25046 66357\n42951 98770\n16148 30262\n31007 99030\n59871 68240\n19941 73608\n32474 40949\n6112 21192\n20014 35144\n29649 52056\n44989 92739\n42221 61847\n47123 69947\n60699 83631\n47171 47257\n8776 9822\n69838 91224\n87550 87767\n27898 61810\n59365 80370\n21264 70565\n58027 65685\n21992 48171\n63859 72343\n4759 52493\n12167 79605\n64243 82676\n52683 76930\n27523 49524\n35912 89520\n25939 26855\n16605 61743\n6740 7111\n14900 97860\n37615 84751\n36444 38134\n76775 98349\n33488 42697\n11481 39104\n74496 84534\n958 20589\n72411 93165\n12238 71793\n66384 83359\n59317 93864\n17277 91481\n9495 86789\n49327 89458\n1033 34646\n14538 61462\n28661 49258\n84347 95045\n8704 43869\n46125 88099\n21498 70030\n45490 76769\n20232 84094\n19231 94070\n4124 62637\n36723 79092\n22112 56981\n3401 27051\n46456 97994\n23132 90812\n2231 75517\n17772 56974\n6334 78415\n5572 85712\n10818 76067\n54973 68368\n5712 82195\n47413 50479\n65184 88137\n1000 69948\n33916 44326\n88016 96671\n67930 93236\n88605 89564\n26550 68153\n82434 89067\n17847 52037\n17303 48508\n35695 54692\n47941 78132\n10672 63102\n22464 98240\n26023 47784\n78525 83079\n42239 66837\n1966 16503\n8336 61805\n68435 81135\n64911 91491\n60262 64989\n726 19223\n36415 83652\n26473 48331\n26263 67408\n13631 68954\n4806 14629\n33324 67352\n76338 92704\n43242 77304\n31174 31730\n25916 70210\n4513 57336\n44698 94380\n56826 59924\n5687 95423\n21893 95431\n39994 59129\n6965 57823\n9609 23164\n30087 83079\n55873 91393\n46112 85554\n50254 70510\n84622 86978\n61459 93415\n20527 67604\n35446 86301\n17209 46014\n24792 37741\n41138 81542\n53795 62308\n9094 30322\n80260 85970\n30281 41205\n28204 34697\n45587 94909\n45009 89696\n24543 61361\n4731 65532\n22611 86520\n71641 80145\n25738 60461\n14934 27301\n46212 80530\n20716 45460\n19881 91916\n43638 87440\n38 83481\n61149 96238\n3521 9691\n38093 63740\n919 99683\n37701 74372\n8489 67122\n17623 19270\n65623 70122\n67319 77511\n23470 23977\n46216 58840\n14677 82533\n7198 42027\n12100 73826\n20666 72437\n6155 47290\n41692 99307\n15845 79248\n18558 95973\n80474 91256\n5280 24361\n37265 45698\n27791 56242\n66962 93252\n30437 65481\n41985 58787\n14116 84782\n35818 46737\n11778 83272\n74398 80711\n6269 64488\n33728 96271\n47283 63611\n23135 82294\n7524 24820\n7374 10651\n85915 99472\n12887 31815\n80309 80845\n23277 67287\n61513 81236\n9461 90606\n51606 67183\n21144 36033\n9672 14088\n58231 96952\n15403 71702\n16233 88970\n21266 21878\n11773 68018\n54639 82783\n12003 27728\n286 60177\n8976 41108\n24767 51856\n16777 98531\n56856 79647\n63122 87607\n33860 56270\n61788 70396\n32664 56200\n35543 50124\n43827 67537\n52429 68846\n58271 82506\n51068 82823\n54351 95183\n40352 87624\n33682 91615\n60421 89716\n3883 25376\n26940 45902\n24404 59301\n36445 94991\n25584 78363\n63808 76990\n41158 46986\n66220 74167\n60676 65898\n86274 86909\n59382 74044\n11201 22093\n53944 83483\n21153 30563\n91336 93924\n51931 85732\n47286 75771\n55487 79852\n23037 53172\n33524 87556\n86773 87085\n44999 63050\n10774 47750\n35146 67035\n18316 82937\n89275 92123\n542 41260\n826 43897\n29185 33033\n41022 92075\n9583 63457\n19353 36587\n78104 83365\n7550 50256\n28187 90593\n56010 72255\n35790 91207\n30861 94222\n21113 82213\n56434 82231\n49246 71728\n27405 62331\n23359 98544\n58973 78482\n37537 92304\n37930 55929\n10932 33014\n12585 65533\n36813 52054\n18942 39430\n2333 10931\n72164 83721\n25579 67402\n25779 88164\n27768 57216\n54922 87579\n29502 71885\n39660 55148\n80574 81067\n905 60094\n2159 33708\n17758 31374\n4117 78273\n33096 46605\n56424 83699\n25648 42066\n9698 34184\n26623 48431\n28646 81779\n38867 77279\n28321 71143\n15597 40301\n26832 31932\n55121 65476\n49797 73626\n12019 81849\n41077 51849\n75285 98614\n7798 36078\n38606 56281\n25987 62263\n4282 98404\n27915 34224\n66768 79826\n46510 64501\n7260 97188\n11863 49910\n44396 95648\n53234 55079\n3927 38016\n59143 75226\n2048 46454\n20760 96411\n19005 65051\n64023 88729\n76356 94811\n75329 87909\n21663 58121\n35222 89357\n223 19262\n10499 78181\n38792 98621\n21206 38965\n27883 46623\n3416 75093\n49383 61678\n14637 43467\n46099 80693\n49376 50681\n11687 61354\n47105 79112\n5891 76561\n20966 78036\n46183 61884\n25509 93108\n37489 67519\n22233 71167\n11890 44256\n31523 89852\n17631 68040\n44648 53775\n12992 76454\n28547 85752\n65849 86778\n37552 72167\n71828 95825\n24267 40557\n764 55534\n26315 69188\n14587 65438\n18162 31288\n16505 28056\n26342 76747\n52906 77042\n75030 90765\n35585 50041\n13758 96977\n13074 21759\n26940 43948\n18491 59302\n19938 76501\n14290 28935\n56459 62192\n6949 74715\n78149 97578\n6043 94835\n27118 84098\n20820 26450\n16299 33779\n7824 24893\n42533 68037\n40016 92041\n59846 75569\n41031 41224\n31115 67418\n63941 67350\n3031 53280\n47239 62147\n38103 41539\n32949 49399\n90690 93248\n84573 98954\n1700 47252\n31981 44816\n64987 83643\n29282 95175\n11986 68757\n20224 61431\n62954 94954\n24911 80107\n19868 36168\n49940 72920\n19188 40065\n6560 12202\n12061 32640\n35143 64516\n4943 61107\n35957 91982\n75220 96269\n6327 89382\n34468 76207\n81392 89887\n11398 95022\n55156 66414\n36553 57135\n9690 43654\n40847 55827\n11801 56127\n18017 44720\n61168 63921\n38247 59142\n19832 90526\n28768 29863\n15896 35947\n4048 63499\n2487 94644\n4363 96216\n77790 79955\n58749 72723\n48240 67118\n61816 92078\n580 68068\n11020 73976\n43248 87768\n53292 82717\n12042 63323\n71439 77206\n33717 83391\n55603 92251\n32418 51123\n43065 90014\n40207 80221\n58179 74685\n43483 98757\n38418 50659\n25986 34548\n27708 50166\n55229 69143\n23364 39176\n26920 50795\n21367 94631\n14777 27549\n29002 32085\n8840 78885\n63667 86237\n22219 48527\n454 60923\n25944 72962\n8918 28669\n18035 90837\n10337 57264\n38823 76589\n70396 98921\n2722 25182\n14017 41925\n1901 83830\n26159 63289\n52398 85231\n2667 10428\n40545 64081\n1870 96291\n15716 40531\n21000 39731\n6303 61126\n24116 73184\n29772 68915\n20698 47531\n4126 37473\n45551 54435\n76395 94966\n5121 66753\n10340 42300\n3988 10817\n21228 49867\n76673 96781\n68209 93600\n16555 85417\n11277 78061\n77885 94701\n85168 92227\n41139 95042\n29540 90585\n43497 43546\n66199 66861\n75810 98697\n61233 82371\n56826 69078\n26190 79335\n26887 76534\n26106 58138\n33470 93464\n20456 25108\n7132 57461\n26351 75977\n378 65777\n28026 71875\n88771 88993\n38787 45472\n10518 71622\n27028 47806\n48470 74625\n74327 90215\n22179 61450\n42625 82247\n8132 61660\n13318 68145\n18665 93554\n36465 91332\n54808 73113\n87291 93590\n11452 59283\n12503 93118\n18976 77320\n25591 74622\n2802 47834\n13775 52136\n42323 76566\n13426 86238\n24981 62936\n15026 79078\n4641 84493\n42745 73001\n30599 34546\n48550 78166\n78342 90832\n64702 70155\n21495 67402\n46033 58326\n75286 98682\n55698 64393\n19853 41342\n55153 94849\n35539 89285\n71506 83135\n75657 90395\n5487 82646\n4938 5687\n38727 87408\n40388 76671\n29010 66075\n19622 48603\n47218 51469\n10132 80541\n49056 91230\n13006 31304\n45072 97061\n48140 55653\n22034 78879\n63427 74270\n16537 54100\n12456 52108\n49391 94250\n73337 81027\n20635 70184\n45758 73423\n23212 36386\n9070 19399\n29387 57004\n15603 45352\n29262 85344\n20043 86529\n58580 99700\n38606 55332\n14289 55048\n11829 62886\n53448 84636\n6995 38478\n50715 50988\n62415 84585\n36717 87588\n6036 23349\n46083 99500\n19900 25094\n63457 88374\n54803 87897\n9518 28185\n64557 74149\n12121 93574\n20680 54707\n39584 84532\n1086 73641\n26847 62976\n32226 85673\n31346 49620\n2382 5830\n25561 76119\n14532 73411\n39287 81010\n41385 66195\n13064 51614\n3759 12129\n63821 72147\n8883 82518\n18399 53235\n35378 47226\n49249 87228\n44990 77573\n64258 78001\n45376 50387\n56441 58670\n25919 70429\n8161 42419\n43461 59304\n65772 91445\n75605 88152\n21424 77032\n19289 47280\n45839 59962\n3777 69923\n10170 23521\n76494 79349\n41038 78753\n83535 95411\n36719 89191\n21882 50246\n28029 78133\n78318 79204\n35826 84541\n3148 30838\n72648 99496\n39022 70306\n23799 65842\n13935 33518\n27381 44211\n66538 69231\n42203 57865\n76046 80615\n9551 80624\n27025 80477\n10506 64806\n25755 29360\n37004 79612\n39602 82675\n14978 47113\n69340 71623\n37940 90723\n4145 12744\n34754 56849\n57944 73848\n20859 69063\n4072 99433\n88653 91042\n9868 42746\n36126 59906\n93750 99304\n3546 95316\n40245 54348\n58258 94795\n53788 60664\n34642 94538\n50581 56584\n55868 87881\n55952 95043\n23033 75085\n27431 59521\n25592 59279\n11586 29857\n17533 27295\n29255 44518\n51472 55095\n28875 85396\n49822 97787\n12972 46890\n11647 56589\n80051 95943\n39367 98238\n26301 42307\n93308 99782\n15630 61814\n53115 70981\n60416 74953\n17689 71914\n27510 54727\n44321 93255\n23464 47229\n354 562\n15460 23748\n34141 64678\n11629 64922\n4245 38494\n62815 71541\n11611 25316\n30305 70195\n47543 71531\n414 58160\n54151 98859\n14881 72301\n40334 69072\n32310 67484\n6278 40576\n44843 55816\n28824 52641\n967 99178\n19382 68147\n34301 61887\n45897 81097\n86064 87450\n27106 95615\n3781 26685\n82289 82997\n1706 54877\n92005 93373\n42109 64605\n65715 72010\n5840 76209\n48490 76219\n21188 73585\n19621 28404\n61176 99087\n77618 78316\n58906 97711\n47670 84617\n425 8547\n7368 23744\n12795 59053\n78040 85454\n51789 82909\n847 51661\n69886 72270\n45071 93568\n5371 93306\n25857 40721\n16317 27860\n17102 57514\n27042 50335\n32467 32473\n49641 80346\n1361 57961\n76749 96369\n35905 46053\n542 10367\n70427 72051\n64265 89851\n9694 44687\n82024 89752\n12499 95979\n4934 8321\n39833 98734\n32382 94582\n7313 70590\n36714 98598\n4267 68131\n18603 84673\n335 83551\n17652 95798\n41694 99704\n13796 24807\n30141 71902\n1409 62960\n15702 80763\n4088 44221\n1047 13153\n59683 73034\n54658 96957\n31678 78702\n97039 98001\n45265 78296\n17992 77641\n11093 70756\n57434 84424\n31151 96512\n59871 70629\n30036 40904\n11455 68654\n6167 58934\n41823 47610\n34386 67803\n19099 83853\n49672 78881\n39960 93786\n23139 69889\n27454 85035\n38498 89906\n43043 46499\n55611 74237\n80457 98745\n47658 49618\n47663 67437\n30019 51191\n13385 68059\n1965 23023\n36041 93416\n7297 48776\n28451 38086\n10092 68988\n57496 77362\n39064 82959\n33168 66223\n19054 60838\n91698 99768\n11514 33048\n77562 92414\n47445 50125\n84196 90300\n29435 84097\n80697 94898\n26515 61165\n27891 62259\n14700 78312\n64366 78085\n54378 78232\n64521 82388\n12442 21563\n9944 21712\n24360 34116\n67455 76298\n44156 88862\n1333 98668\n41751 58903\n1522 45921\n37322 97595\n53990 55343\n11225 14519\n48049 49543\n34973 62511\n82714 85075\n13492 26506\n32659 37372\n24745 87558\n44501 45748\n15164 41235\n2791 89927\n75582 96375\n85721 93361\n35850 40406\n26833 42829\n29272 98491\n37702 57021\n31983 94600\n50188 59435\n18960 42132\n79487 79773\n19353 89267\n16441 18847\n45899 62705\n53026 74053\n65150 65218\n10430 78730\n44025 79346\n80417 95026\n73462 89775\n362 83436\n10602 66675\n3586 67695\n6080 31768\n85545 90384\n13879 34878\n51895 90921\n29540 55871\n4229 82581\n54454 89969\n1069 92393\n49153 89026\n12362 26784\n80123 80928\n69937 73728\n83902 88189\n1945 55093\n52 3330\n40726 49379\n20821 72325\n35758 53155\n5272 61364\n9796 17485\n37332 59883\n27382 64241\n65139 70006\n5909 98090\n2567 47353\n74009 75140\n14264 60779\n16005 17154\n36075 87060\n4193 25478\n73199 80608\n60180 77267\n19771 90826\n81890 83609\n38289 46467\n8860 64115\n63475 91077\n2225 42384\n1774 87711\n37814 71018\n23670 99335\n15612 30627\n29857 40134\n26257 62375\n39746 51166\n85311 99619\n70126 90050\n43022 97369\n38225 57770\n19712 50910\n38894 99874\n36722 78326\n46594 62039\n40963 79088\n4070 24606\n41452 51479\n40799 48191\n347 6352\n28269 54311\n5724 24966\n4560 6680\n14511 86307\n79676 87622\n19075 62925\n30597 30985\n68978 92812\n52353 99302\n24972 94455\n13217 79631\n19289 99377\n2956 51661\n14193 69313\n29698 65896\n55030 78393\n692 70283\n18925 54293\n72838 82302\n70449 99574\n79630 85819\n30459 78484\n80571 97064\n25262 55673\n65204 72460\n4964 26147\n30746 85595\n33325 49299\n4147 22984\n11876 82192\n64294 69307\n34268 47696\n470 89291\n12368 27477\n39488 59726\n33539 43050\n4494 63398\n29291 91838\n79135 94483\n28239 47553\n685 46874\n51185 79583\n34096 53593\n2156 31264\n34522 99708\n71159 80816\n66584 78373\n18196 76187\n60951 94221\n50273 85275\n83439 97712\n70 17288\n88946 94479\n18554 69662\n9974 88751\n15019 43519\n15578 62039\n33868 34165\n16448 58808\n15825 21214\n85776 86224\n22308 51142\n27296 63900\n2840 31192\n30958 50708\n26986 31086\n26731 43985\n2349 96321\n16915 65515\n61803 74535\n95833 97722\n20295 75428\n73726 93645\n5452 33683\n2300 8847\n26822 45802\n87089 97350\n33917 39412\n2556 50527\n22260 77144\n2591 61415\n10854 29212\n42146 70814\n11586 84825\n5079 60914\n34602 50951\n30055 35436\n17826 47701\n39665 68227\n12032 23037\n52323 96542\n2448 98893\n61393 85368\n67581 76282\n31788 97792\n64885 86746\n15487 35957\n3145 67739\n25386 33412\n42572 61574\n20216 52773\n65061 75146\n19895 72727\n30847 52560\n9362 65117\n32618 66922\n25644 69602\n46918 85271\n34034 59727\n59364 87143\n662 45199\n83717 95644\n46377 75149\n68842 92714\n55574 85415\n60470 80200\n23122 29717\n8037 78783\n25453 53691\n7593 36794\n8386 81740\n69753 97100\n15703 85633\n45446 87672\n71519 87716\n86546 95958\n85586 95460\n7999 39967\n49042 79257\n8705 71979\n5831 18591\n12063 39295\n28922 74304\n24621 36880\n25547 28202\n27711 35729\n37154 39236\n14421 64438\n86685 90596\n24574 58686\n78006 85684\n43199 44196\n38232 69106\n52605 70584\n63377 84085\n8566 35466\n43182 59356\n19736 27646\n19956 47764\n7293 70817\n43075 77466\n77088 83169\n32213 94407\n39511 49449\n10762 19154\n60252 98225\n44007 93858\n67020 70379\n33174 89191\n16842 90983\n42226 96355\n41305 56681\n14117 27663\n9668 38098\n33059 58463\n24362 57368\n11284 59134\n93116 98067\n37809 41528\n11454 18500\n20876 43461\n22694 92303\n11280 25161\n16833 40752\n25557 45454\n4436 9614\n14950 75261\n28917 52857\n1897 84373\n43293 84786\n59197 71859\n25570 62242\n3267 46049\n31764 60644\n32278 96378\n62523 87164\n7545 68940\n60711 93670\n27514 30553\n4643 33329\n33126 58521\n50744 54698\n49708 77037\n43347 86116\n18313 75599\n26144 55571\n10674 35626\n18335 25111\n49330 59166\n51986 68022\n21576 73955\n4500 95049\n67839 90105\n16919 18133\n51089 97099\n22641 92708\n45971 95928\n47018 79695\n882 38699\n93038 96011\n2404 23342\n42509 80346\n38139 43756\n74658 91039\n43095 81530\n54179 80192\n2756 44490\n34577 73085\n38868 91619\n3588 87080\n3607 9387\n20052 34278\n51093 77466\n1362 30668\n65903 92382\n3840 16589\n34039 67329\n27619 63142\n42227 48693\n55294 67027\n21013 95010\n9826 58883\n16247 38278\n1185 33578\n19376 28098\n22454 53629\n37233 40369\n12963 32864\n8738 98471\n36261 57743\n8900 55727\n76338 86503\n17035 97635\n48260 91557\n1956 27005\n45292 80881\n83366 90071\n1009 64977\n10264 84197\n37392 47841\n13299 52203\n24193 33720\n31385 53388\n10158 18096\n21251 98601\n36360 83257\n9145 95223\n44191 48742\n7259 96367\n13648 86653\n37682 71632\n50110 99604\n1112 5615\n25168 27099\n8359 80548\n10636 67323\n13149 22674\n79704 84355\n41285 71465\n14761 20569\n53684 60846\n42455 97160\n36822 44300\n3918 85205\n32114 70586\n93859 98105\n19438 59173\n67513 68072\n87267 89035\n3192 84091\n10760 88061\n9298 50002\n50063 73039\n25595 55827\n1726 12282\n60109 85997\n41248 73210\n77318 98102\n41849 72055\n9747 96132\n48741 99398\n38053 79675\n59509 78187\n58943 77349\n74158 92020\n55931 70147\n37625 60248\n29142 67991\n19743 94985\n6397 20936\n53508 54448\n6012 76441\n16184 67349\n11161 39814\n79374 93132\n15703 92482\n59358 91116\n52507 85261\n38653 84601\n23176 90686\n4357 19831\n45805 60049\n68306 72560\n3366 13984\n2233 10338\n496 1988\n39889 81771\n18872 41619\n30552 40180\n72036 73555\n68803 78062\n69419 93233\n24658 44086\n30694 58759\n39498 90345\n3432 65166\n48916 88168\n24783 48910\n16481 96584\n7687 94263\n5164 71264\n8120 80858\n63081 79303\n11886 72467\n75757 90575\n86502 91634\n573 57349\n51427 54514\n81358 96278\n1792 27551\n23863 56628\n12751 60511\n33401 72781\n3993 96891\n3505 77919\n11810 20135\n50420 92121\n86005 93792\n13553 27428\n48237 48794\n37273 90186\n20204 30418\n56892 66327\n25900 39247\n85934 89135\n56264 60945\n22156 95141\n25830 46470\n37777 80639\n23867 26417\n7060 84127\n56051 90818\n59492 64906\n17252 86916\n10764 52745\n1733 60416\n28698 33145\n24856 86522\n16163 44510\n80771 87784\n74462 81983\n75603 85268\n8583 13124\n7469 38069\n39594 41769\n26907 97553\n2113 17284\n7593 50295\n51696 97575\n33402 41822\n50348 76253\n40310 67576\n6130 49007\n633 20512\n30104 56718\n25154 48011\n11170 60211\n31313 74284\n29401 35305\n25972 32181\n17176 73487\n7045 54039\n77133 86039\n5359 24258\n52362 59136\n37992 58410\n3912 40706\n23906 72552\n70596 79252\n482 6471\n74060 88297\n52799 66325\n12909 64263\n47626 96842\n6357 17630\n42846 84799\n71370 82581\n19001 80211\n4232 52773\n11752 85166\n32979 33844\n91349 98308\n42404 89268\n33127 58045\n10205 15892\n3093 62789\n41723 78882\n38093 53038\n58149 89198\n57485 81257\n1574 38772\n18052 24598\n4244 78972\n42574 53490\n59135 84330\n38648 78702\n2999 98902\n76091 76277\n42352 89781\n2148 22552\n27124 74722\n78581 90888\n67105 83693\n64873 90916\n15957 45930\n37484 44692\n71080 78812\n42836 66507\n64601 79456\n29667 71553\n14851 90400\n54709 66278\n36635 76710\n8827 82813\n55043 89983\n70416 70447\n71161 97089\n1400 68486\n24543 70185\n42384 45496\n61667 76887\n35943 69069\n9875 58869\n67792 76571\n55818 66913\n18920 35058\n21302 21548\n88398 93656\n20089 86478\n39969 85646\n15780 39618\n49954 83139\n18499 37587\n53144 90965\n3503 63005\n9207 28765\n19636 79815\n13907 95860\n48659 74770\n79683 89764\n41948 67854\n70742 74364\n51739 61492\n2365 75784\n89930 93772\n85395 87058\n1278 82235\n24794 58460\n26340 27928\n78886 79755\n1553 76408\n23999 36453\n22818 87143\n24904 90568\n42741 69418\n81215 93324\n1449 8930\n15964 21631\n22683 81157\n90567 96257\n14194 41745\n12311 12591\n67254 76149\n67983 80793\n998 80434\n7331 30871\n927 967\n20589 67322\n47408 81955\n47726 54651\n72466 78222\n6046 71703\n32377 79671\n28823 96888\n15422 92218\n47972 90111\n13861 53508\n41637 55716\n34856 47433\n3958 24708\n61457 63115\n22559 27924\n16127 67855\n12329 72642\n54188 99126\n13980 52482\n15121 47551\n18026 86698\n39574 81649\n52325 65600\n42760 59444\n25507 49626\n1698 99113\n64675 99902\n34901 69518\n24304 66704\n43664 83034\n46946 96476\n36461 95855\n9517 69172\n520 22425\n46322 93292\n276 86050\n19770 66055\n53723 64606\n10890 26815\n8100 21952\n37579 45788\n62409 74208\n3245 56330\n4233 90309\n21031 23849\n20067 29533\n77920 92826\n15601 23855\n21634 98657\n9887 80189\n33423 61650\n64172 80456\n9943 75032\n21758 34040\n48821 66292\n33606 88500\n25410 52534\n78058 81694\n8620 24384\n53537 62801\n12608 27451\n20456 48792\n79108 83763\n10659 57373\n18509 93273\n45292 73479\n24150 76526\n41595 84815\n16002 35156\n24839 62715\n68354 86170\n74883 86208\n7026 47447\n53866 95814\n57279 58060\n57487 96528\n64964 73430\n74227 84393\n84537 92674\n74271 81668\n4797 87750\n8682 53090\n13477 86929\n30995 90858\n26867 57075\n2690 50881\n16606 23154\n25275 74716\n6733 48148\n1657 42298\n18610 26356\n1382 84147\n8742 70443\n5842 14552\n22926 23041\n5830 13543\n1307 88680\n14012 26090\n18339 53248\n8014 65915\n30596 76631\n19950 75948\n26093 50121\n7699 25164\n83484 92336\n16860 18154\n7720 16403\n53923 71113\n25860 35922\n67676 82590\n53029 95065\n24356 93823\n54146 77419\n12456 20658\n74122 97310\n17481 55607\n9771 72708\n3423 68673\n45160 53837\n18469 38384\n52277 98950\n40784 62939\n3197 68261\n11286 83588\n63618 81436\n23382 56248\n10057 65858\n10634 68421\n15610 57831\n32798 86052\n80708 87862\n47406 70564\n14502 43565\n62262 77811\n22 10958\n69919 72187\n80354 81672\n36751 99015\n31390 35729\n52455 89174\n13111 21840\n32784 72649\n41103 90120\n46537 70583\n50809 76988\n48086 60314\n68685 98693\n1577 88882\n8614 11007\n40967 61645\n57594 76126\n59840 73688\n40071 54298\n30059 36081\n39774 61086\n1195 38734\n49537 54279\n25414 66529\n5668 20061\n71226 76715\n60470 65365\n44128 65273\n39654 80192\n28565 80830\n1404 24425\n9797 48574\n33977 90969\n38740 60659\n45857 49214\n3862 45144\n40720 41771\n28261 94016\n72603 99619\n2317 81530\n27679 74516\n15713 91793\n71673 86895\n23945 82889\n53704 54787\n20746 65887\n53413 88111\n37210 85071\n37899 79343\n34877 79376\n7185 32736\n64500 75646\n7305 10512\n6418 68646\n1680 54788\n46980 78328\n57297 81384\n42567 74604\n14887 62525\n9303 73911\n92193 92263\n32461 98409\n66854 79890\n4789 94547\n12746 33075\n65765 76927\n40519 70057\n42571 95735\n5826 42150\n7377 42519\n6586 96161\n74325 91730\n60025 95468\n18818 94214\n4520 26234\n3473 86670\n18353 37868\n68739 91005\n6904 27712\n58628 97793\n32467 82011\n80525 93138\n19433 78082\n8921 22180\n25936 89422\n53643 89874\n40527 82754\n46598 59223\n635 28707\n75316 83466\n13755 96188\n13880 16653\n2077 55237\n53669 75949\n23659 89038\n47363 76683\n6814 19589\n34604 85930\n33600 94233\n6827 77804\n31179 50014\n39160 69815\n56903 59793\n31733 48393\n67387 89046\n41564 80367\n83725 91333\n62818 99035\n26227 43735\n22479 37540\n20324 89976\n28553 87767\n31455 89170\n15434 45122\n12113 28819\n34644 57689\n7132 46568\n25045 78002\n9691 17869\n28707 35196\n8094 49319\n8115 29514\n43878 71547\n29882 57652\n18894 30790\n81030 96545\n13426 93386\n14309 39695\n30080 87880\n7520 13883\n67754 76435\n79332 87823\n24571 86442\n55358 68023\n22699 23720\n72602 86862\n41126 91431\n47855 70760\n26682 64027\n8646 69601\n34637 97794\n12269 80963\n9090 56492\n8914 89308\n20092 61421\n26424 84661\n98074 98085\n42404 57036\n15821 77268\n13245 58914\n33112 54310\n52756 53115\n41683 63253\n45026 80049\n25659 90621\n25887 61708\n19044 84619\n34757 94653\n21656 85970\n3183 17441\n11804 45106\n20472 22740\n33128 99042\n55034 91730\n9906 29004\n81454 96722\n40469 47226\n66051 70523\n44986 50655\n3985 61628\n17470 64251\n24797 28037\n4003 16843\n4624 49319\n23335 69099\n11835 29154\n39168 50350\n45962 81616\n8745 62142\n78239 95046\n1895 36929\n4148 62565\n26819 87289\n6300 35261\n49059 68175\n47542 72587\n24446 69116\n7530 64150\n3617 26395\n30379 90680\n41186 42087\n36430 81780\n47497 64946\n8332 74308\n70718 92419\n16526 39647\n48886 79668\n28781 40154\n10158 35186\n6008 78126\n35136 96848\n26488 29113\n11366 66509\n4505 58616\n33064 93434\n22507 66103\n8257 68374\n48801 82556\n6925 90102\n35695 84030\n11216 35667\n26269 30893\n19902 93909\n94695 99705\n13852 91078\n53838 94106\n49013 95880\n97394 97649\n24605 63578\n54352 67759\n3037 60877\n4146 80479\n38082 38366\n11180 94946\n14070 44206\n5465 56459\n50774 94131\n81133 92358\n3460 45922\n42349 52106\n3532 40166\n30367 32402\n9553 64538\n59340 59516\n31820 79028\n22707 42177\n7186 70990\n60685 72308\n60703 74657\n43386 63379\n21345 79136\n60069 88573\n65394 78661\n25721 33716\n8585 43790\n6944 67505\n70461 73688\n63004 87768\n21186 77678\n621 27416\n1742 24115\n8597 35705\n11890 14603\n1263 24761\n26665 64155\n34716 51074\n1630 18816\n265 15622\n20416 75868\n54013 95150\n48513 65290\n54774 85597\n82852 89878\n24820 89504\n800 52376\n838 42949\n46971 99839\n46684 56796\n6583 49862\n45770 47213\n7056 33030\n28773 91800\n1576 13167\n31285 51173\n77179 86335\n70390 73357\n9359 27393\n10617 13915\n30575 81815\n29681 61848\n18496 54278\n1972 8635\n25257 55323\n6411 70768\n30769 41824\n78009 96230\n40511 58492\n13544 87718\n68412 98804\n77552 83408\n12930 58333\n27493 94172\n24641 54476\n5575 82679\n61230 66670\n55808 89280\n59783 70297\n6726 87022\n19771 43625\n31232 39985\n18169 69228\n22427 28961\n8371 79727\n48656 84273\n29900 44276\n74261 75675\n2288 56736\n17924 28041\n45960 69457\n11748 75980\n33812 55410\n49520 70264\n51511 90302\n44646 46101\n4009 53321\n97540 97923\n42683 46681\n26335 76031\n7180 47466\n41103 45549\n7029 70082\n23319 86401\n17664 82781\n73510 75777\n8007 62345\n47829 88408\n35342 49181\n13909 51671\n33367 93734\n721 11707\n12455 38292\n18928 49637\n38081 88606\n80075 82120\n33074 84833\n52600 91580\n26183 30266\n9886 25159\n36040 62500\n29709 93704\n32285 69167\n15521 90348\n35508 73221\n34488 62531\n71856 97652\n2926 7827\n1770 17614\n7527 28280\n10869 89522\n23989 94619\n32086 66928\n6927 44468\n15464 71013\n40841 49321\n16452 71896\n28692 31278\n7970 31819\n8874 45055\n13048 67147\n34313 84430\n9555 92362\n6382 88069\n13616 94597\n86537 99647\n24734 24930\n47821 92136\n44179 92977\n4687 18262\n16552 58506\n60551 61285\n19730 30037\n69931 94250\n43808 80644\n3835 34127\n3040 93349\n26693 54212\n10090 36329\n3462 21481\n26011 90577\n78273 97664\n74423 78646\n59617 68425\n98580 99853\n12397 54310\n53938 68488\n75938 92851\n13739 75931\n8788 37053\n27216 78284\n37572 79322\n14738 98229\n17977 76247\n27948 96582\n13421 25431\n7440 19418\n58340 92978\n28322 71939\n65543 89160\n31836 46650\n27283 75608\n4874 95855\n25709 32793\n2127 80095\n69391 95510\n7357 37530\n38803 62581\n17655 47768\n24435 27028\n31934 71919\n14324 76670\n11436 39079\n45954 99864\n33948 80416\n3676 49673\n2944 84163\n7658 86728\n8416 32007\n81521 91028\n36967 45913\n57788 83383\n77844 93260\n2083 89922\n30478 35433\n27371 27670\n29774 79838\n61075 86614\n46038 52055\n29877 94057\n11789 97528\n23449 93045\n43119 84676\n42513 92194\n2894 14766\n17558 30704\n1271 88290\n37841 80949\n58884 70611\n18392 32498\n31823 93994\n3037 26337\n70063 87460\n70751 81346\n72007 74054\n85137 87608\n24669 70730\n72591 88886\n8708 64925\n46774 52417\n68707 96940\n55715 93636\n25866 57814\n69510 79334\n33215 38531\n30729 44171\n14850 92401\n74404 83727\n14779 60176\n62306 93048\n72452 74159\n20196 73072\n8676 42199\n8988 46506\n23313 57142\n20497 47494\n2941 82595\n1515 82417\n13177 58407\n36019 66296\n41904 49201\n5486 50524\n70418 78149\n60497 74726\n3468 11978\n82601 87285\n26183 98802\n5276 92532\n30874 46549\n24630 94510\n88510 95529\n29560 66808\n1992 59751\n29571 97940\n79017 88619\n53753 80367\n87713 89012\n26343 72158\n19265 28476\n27943 96770\n44121 75516\n8226 80964\n38628 81999\n38247 59138\n36622 84969\n63867 91669\n87949 93890\n92254 92916\n38312 98670\n26179 65873\n20211 70388\n55331 58373\n29497 51215\n43570 48583\n58324 69039\n28257 86051\n24573 79186\n87986 96662\n76519 89652\n77499 81320\n9001 51311\n5025 69217\n8659 98767\n51255 99935\n28464 43959\n32476 96136\n1384 99383\n64180 88154\n28156 87913\n29878 91865\n47292 92861\n22692 82737\n38760 92959\n54271 56501\n8797 76301\n43981 98705\n5266 69380\n62021 98396\n393 68834\n31695 59195\n11715 81819\n10400 79467\n14692 76166\n58634 74728\n66829 84445\n37434 56180\n38074 87726\n8375 23073\n11959 48319\n26857 88700\n76659 83073\n18072 37251\n49649 66197\n78278 89716\n46224 52463\n4717 21671\n28132 36584\n18852 39510\n6836 40034\n68317 90172\n17402 95895\n5798 71039\n80121 82694\n30676 35526\n64812 72794\n73483 88062\n50108 95021\n90255 95335\n24326 80315\n57358 93559\n93334 99089\n20146 58705\n55197 65455\n1913 63499\n69499 89129\n51244 83681\n4478 67342\n90084 93726\n51236 70366\n43423 51160\n17938 49432\n21749 57986\n42284 62357\n12145 51791\n48427 72609\n30675 75182\n26149 58211\n12414 33709\n32539 83160\n18391 34041\n8781 17662\n2601 41325\n26269 65103\n4977 45560\n54407 77087\n13991 36074\n54703 69469\n23457 52112\n1991 94164\n8203 76713\n49453 59084\n21850 94562\n24723 36610\n29826 95561\n17268 36496\n49656 80571\n54559 82510\n56544 61548\n5685 74018\n11678 18352\n5923 34020\n10415 39282\n32215 39968\n26870 39373\n52316 98512\n54313 66307\n18717 58810\n16076 91416\n56855 87306\n3770 5927\n46059 97342\n60383 85512\n60137 79316\n5291 60235\n22141 50142\n4073 69435\n37212 70019\n41281 64205\n12118 76558\n22823 85745\n15403 43871\n28639 94812\n7439 83087\n3655 72346\n6642 40039\n66076 90836\n7157 36926\n7326 58411\n59536 65008\n3058 92324\n41283 89072\n23675 53676\n15717 50345\n47918 82502\n26028 62518\n15337 20778\n58750 83561\n37430 48620\n47588 99902\n27541 48609\n30045 90914\n33575 56086\n25122 90053\n51904 72417\n1475 69959\n15289 46538\n5632 22443\n22370 99084\n1653 5204\n73103 76872\n889 85504\n10011 10553\n40616 49161\n35200 43926\n53517 57357\n10406 79481\n43770 82763\n33875 67144\n203 38126\n43922 74324\n48684 92296\n32072 44752\n9970 16605\n35085 58122\n58838 98813\n13377 72773\n16089 90925\n21159 41416\n2122 77888\n56719 88589\n70694 89832\n42996 61696\n35758 49384\n79995 90909\n9967 23249\n25253 89932\n26005 45575\n1119 59272\n4750 94982\n21721 63511\n39785 59362\n7670 35047\n42247 84266\n31124 82945\n50784 94184\n30434 98044\n41559 42178\n43708 88684\n22178 50716\n55215 85501\n32575 46167\n47597 71447\n999 16416\n7284 52413\n1339 65519\n12348 39192\n14516 84498\n594 79106\n5321 74094\n53955 92955\n21419 82263\n13737 92515\n13661 15954\n26097 83845\n32591 51537\n3995 56734\n18582 26299\n11682 96513\n56715 76747\n14399 32909\n26274 78182\n48204 54528\n7134 36376\n91450 92961\n59053 80774\n3756 41634\n32036 45797\n15973 57480\n15261 47670\n1370 78165\n13575 21357\n50499 82420\n18752 68362\n2857 37723\n20446 87094\n3673 7802\n58394 81366\n19450 51051\n26812 42164\n94552 98012\n33243 55368\n36121 66781\n15863 73803\n70792 79179\n14136 40660\n47122 50394\n70186 80145\n21960 41625\n67345 74974\n58131 74473\n26937 64434\n72374 85051\n481 86902\n11666 12425\n51111 92780\n27234 51600\n31526 31541\n42897 83246\n7744 49141\n5459 43616\n58245 83764\n59039 73892\n40603 48881\n54539 57242\n5441 44957\n19433 57188\n9111 77185\n6473 72879\n13770 23998\n93114 94686\n1669 12322\n39967 56951\n28499 38450\n13892 74956\n8956 94236\n21833 35809\n7564 70257\n8245 21286\n42304 49330\n6190 91340\n31667 89893\n16991 95321\n27474 69949\n11408 97010\n79452 94564\n66041 98684\n74149 85781\n79314 99387\n1920 98342\n3308 21277\n24640 61517\n85551 95789\n40913 65574\n44882 72055\n24776 49822\n34864 41273\n13490 25780\n54908 85294\n80071 90232\n25135 81393\n16555 57149\n2249 23810\n19551 95594\n50079 94867\n28001 85200\n16056 91702\n40537 93216\n56011 58930\n15684 55332\n30301 92646\n6643 66690\n54494 80923\n5554 66931\n32462 64190\n23903 94578\n48399 78194\n45328 71930\n10247 86496\n21554 80186\n27723 64128\n94385 99228\n5494 64754\n50842 56395\n18534 23505\n87923 97320\n32014 59744\n37928 38093\n7698 31768\n83871 91005\n27602 70895\n18814 88958\n46825 97307\n48058 94638\n23728 59261\n36753 59877\n69062 90749\n5885 18620\n15734 39074\n35267 84614\n13899 48071\n2083 96010\n73990 80131\n7422 33114\n13220 62789\n39010 81478\n12560 70763\n333 48220\n87310 91411\n34052 70466\n37230 67728\n88917 94168\n75875 91613\n27480 79817\n38124 89438\n322 73617\n6924 85653\n40329 59035\n38231 79077\n46787 54232\n32175 70707\n14137 98913\n70707 85633\n15161 86824\n38341 68420\n18964 88519\n53410 68860\n22342 69254\n33528 70012\n54126 61904\n9946 39759\n14789 68791\n32370 54858\n36407 92271\n1025 86711\n30037 90431\n45137 49453\n73658 80528\n21234 50323\n36187 81943\n32716 61221\n38440 54079\n8980 69449\n17499 86145\n15141 31033\n13946 35996\n12953 90724\n92621 93155\n44963 84690\n28121 56640\n21320 63850\n8687 19849\n43910 85971\n16826 88012\n33466 78813\n16746 59302\n19082 87107\n8175 70880\n16446 80538\n9753 68304\n39553 88556\n27439 93337\n5500 71865\n43207 78320\n26370 36921\n30043 38789\n34821 48216\n41394 42907\n20110 80805\n50064 51378\n31586 61663\n65554 94945\n67476 70637\n39086 90351\n48292 63801\n64485 95620\n47117 47700\n19619 22502\n49370 97303\n23470 49992\n25179 66697\n39415 40698\n2701 46017\n22600 24330\n35723 95240\n75186 92701\n60773 61960\n47960 99258\n47061 60825\n1537 53780\n28215 35705\n65713 76712\n28470 63574\n75261 77480\n7916 43149\n20467 75766\n38732 49927\n21920 35255\n48803 95762\n3478 53977\n6920 52165\n33555 72364\n3701 50533\n65401 79890\n503 6731\n14550 24388\n21684 27807\n38282 99571\n31742 93962\n59838 80502\n46326 86853\n26256 50979\n24998 42790\n65098 71724\n30739 40299\n6559 91751\n54201 79376\n9704 87168\n68066 69259\n45742 89462\n2373 94441\n8431 61870\n40872 91054\n31284 76640\n33945 61927\n8388 47386\n7738 11822\n9878 66593\n11255 24702\n18529 46413\n36793 69420\n9482 86453\n32523 60602\n38018 39953\n8460 17948\n46473 74643\n282 60868\n39492 55761\n61617 99797\n70084 96580\n2645 12984\n19561 84179\n4218 85973\n7168 45134\n10573 34034\n72677 93786\n9385 85201\n16287 91724\n22889 87003\n80663 92227\n9935 83016\n84416 93715\n25032 88346\n8436 45922\n7080 99913\n63693 91447\n51497 72799\n5786 69512\n27466 48062\n51464 65327\n43204 91341\n4958 75404\n25184 77996\n70492 91958\n73963 87066\n28339 48826\n71065 76907\n48408 96265\n68822 81582\n49847 82115\n12220 16684\n1799 38208\n92 53398\n57285 70512\n42220 86244\n32220 79484\n5401 23656\n66764 87230\n73623 99019\n6840 51829\n813 24732\n15098 34733\n18029 69702\n15213 29138\n43327 45140\n1898 51609\n16540 17275\n35021 45656\n50884 56166\n23624 59567\n25258 89828\n51753 69998\n71949 98868\n9910 56424\n43354 84622\n26514 74754\n37499 41358\n72199 97669\n36516 37156\n4084 41773\n42845 78469\n33431 48610\n6018 99654\n41873 63590\n88803 99169\n58915 73856\n41767 70576\n49147 87808\n42828 65268\n32612 34767\n5513 36596\n67199 96986\n14198 39269\n58854 66701\n2016 45933\n57110 63942\n25303 29193\n34185 56851\n30996 48263\n19902 69304\n18206 42337\n5217 45676\n70112 93715\n2391 25807\n17703 53164\n32132 73189\n88828 97265\n33694 98414\n50838 86861\n2520 27125\n35796 60954\n51140 65614\n69287 70457\n25245 86100\n17006 42711\n14622 21288\n12567 20744\n55142 93796\n20811 26242\n11977 26670\n45202 96146\n60933 70674\n44219 81881\n79561 92366\n20216 87580\n46263 67336\n15663 68745\n19768 23437\n41347 53028\n62963 92549\n9632 15783\n46274 82049\n51233 69134\n45492 72418\n42272 88132\n22724 85927\n49851 62865\n51220 70801\n9846 11046\n376 79826\n27659 81840\n7147 21901\n37996 67037\n29021 30019\n37430 62905\n5544 80011\n20707 71656\n49264 77865\n46318 53383\n25551 85114\n7885 9471\n43164 44551\n10103 18350\n1966 4602\n28220 90636\n9452 41508\n83554 94047\n77814 88891\n32071 81997\n19118 94532\n53291 84713\n7116 12789\n12415 65405\n58748 98927\n20162 50286\n86496 92960\n51824 51892\n8520 39208\n43727 85926\n40627 48475\n781 24773\n10856 42711\n47511 48221\n37339 62306\n5066 44198\n35372 73978\n56140 98142\n43317 77939\n2845 71947\n1468 95743\n4951 77275\n32976 34803\n33999 37760\n39621 44339\n9731 40052\n763 21138\n27288 61310\n15145 84986\n6219 51688\n74807 95566\n14049 94468\n61044 65077\n48007 61170\n822 4896\n58277 73118\n29970 89240\n27982 69148\n41602 81032\n74004 94140\n9515 70758\n17147 22253\n2127 93624\n13695 85273\n9480 67196\n45 23619\n53469 72373\n7281 57578\n59875 82106\n78218 83227\n94533 97413\n43062 75260\n25879 99594\n36410 94808\n18386 54025\n21708 80890\n54329 89618\n58086 62458\n43314 66594\n34970 87715\n11510 45272\n14921 71683\n16831 78604\n32019 61126\n8254 24073\n21067 85773\n4156 73941\n40155 47479\n8928 11031\n10761 12585\n11410 50607\n11029 68717\n63698 66052\n7466 97506\n19272 57838\n28402 42525\n22237 83959\n6264 21292\n11512 96158\n45340 48461\n22720 48089\n8789 93032\n4555 77409\n31717 68290\n28070 87051\n40173 97379\n33721 54792\n4261 37327\n53747 88971\n36548 75955\n38630 98876\n6447 13619\n5332 35922\n6544 60340\n1476 79185\n32271 74496\n3819 56602\n68980 82005\n2244 96926\n25636 73925\n54819 79293\n14927 91712\n83212 95077\n10541 27541\n39282 48639\n24209 48943\n13661 50045\n8760 61249\n70354 94619\n30505 82072\n70354 91924\n10800 41874\n49276 99939\n840 73528\n11141 53013\n36509 95272\n46728 97495\n31490 91859\n3161 72848\n50937 91061\n58201 67853\n42739 77356\n47479 65925\n11212 27891\n49415 91562\n7778 16339\n44258 54295\n22247 57227\n42567 55877\n78220 88839\n52947 70471\n11219 88169\n1672 92024\n46175 70209\n20788 39930\n76232 94513\n35522 54342\n24090 39422\n49590 73958\n21319 75704\n3341 13919\n43262 76395\n32638 32643\n65631 89906\n81578 88431\n30948 90781\n52534 71051\n28011 44299\n12037 76364\n68660 90431\n4225 68666\n45140 95428\n3814 51438\n31522 96319\n42392 48401\n4785 98533\n54067 54168\n10018 63040\n80182 82885\n2908 49267\n30569 86857\n16483 46588\n45330 98263\n19368 53069\n74213 79465\n27000 98426\n36093 37145\n64737 98845\n58173 81847\n1438 22215\n13764 66799\n55599 79810\n66508 97870\n43670 51287\n7472 59467\n10268 83070\n31983 77580\n58637 93586\n10658 79665\n2405 87735\n40655 76578\n41979 50664\n325 62376\n81428 95709\n36753 47372\n14692 17426\n29732 87020\n14539 46428\n54621 73282\n22678 80274\n54340 91491\n12768 64056\n15067 69467\n16357 91422\n28502 33110\n13726 37586\n22204 97717\n47217 55450\n68780 86139\n5976 6783\n33972 72527\n22932 26108\n15610 32403\n74452 94302\n8252 50843\n40620 57328\n2623 62138\n22594 88632\n17881 88026\n37143 58764\n23338 43681\n16588 56504\n18585 68765\n42587 85043\n23693 34422\n8214 77169\n36015 51982\n21281 23859\n43901 70109\n45582 99483\n35689 95244\n6192 47242\n35132 70960\n17012 73050\n55279 56633\n19549 80589\n136 12641\n332 70564\n1568 55701\n54251 75624\n39862 75400\n60458 98304\n26779 96500\n28181 59087\n24919 56583\n29355 40052\n20442 51361\n47394 82222\n10986 45522\n22607 41903\n54261 80382\n28960 31450\n718 71391\n43090 78515\n46491 88949\n43230 57507\n18109 96543\n24529 68243\n86354 96604\n51586 52891\n20493 32748\n57508 58040\n26126 42803\n68644 73148\n22166 83980\n35922 98290\n73311 92767\n38654 92602\n18180 41570\n27463 84505\n19065 72703\n12081 37131\n9271 51604\n11230 15611\n39173 66476\n40659 97506\n2603 42384\n37648 56273\n24187 84471\n24630 33716\n32866 75615\n6712 49938\n7888 98162\n6902 42280\n9438 68321\n14113 92622\n71842 87028\n67689 78578\n33633 61111\n39274 66912\n35995 94222\n15999 75731\n11835 54324\n30362 46350\n19926 78514\n61254 89737\n34149 70615\n35177 37918\n12436 56864\n2974 25634\n834 95919\n19279 92356\n40160 41591\n5897 29398\n62050 85892\n52420 76685\n64551 78646\n32709 43750\n25951 59938\n29166 77988\n31835 83590\n47962 59828\n68682 76985\n12423 23611\n32267 98376\n5327 69244\n73200 94971\n82818 88069\n62492 83682\n24972 91447\n38146 38952\n36531 99959\n83362 84222\n34289 68079\n72732 93202\n74494 90536\n14856 25433\n83087 96301\n63393 94823\n81008 84818\n23483 68100\n26799 80117\n5285 61009\n1805 17459\n6542 34635\n17303 62731\n8966 43516\n90492 96344\n69747 75374\n62354 83999\n55348 94023\n42046 98435\n21312 40503\n8033 50861\n80216 94549\n70026 74727\n90 72824\n7582 16665\n30539 48907\n36205 59449\n30153 74694\n9262 32843\n22947 87173\n72611 75425\n6403 15531\n6193 57850\n33079 65658\n19934 78950\n6697 98823\n29049 45350\n93040 97866\n30392 49040\n39599 40367\n40048 95307\n23979 90637\n14455 36900\n12343 13450\n44639 66726\n19492 52898\n28317 95176\n16699 89876\n48099 74058\n74307 78587\n72752 72756\n34898 88105\n964 14260\n4274 75931\n72777 89078\n17939 42421\n53423 61639\n20808 46597\n22867 85687\n91735 94325\n10873 86586\n37955 96796\n26643 46866\n62825 72490\n10262 29533\n40891 42970\n67818 81096\n26044 58719\n22154 51616\n7780 41176\n4653 7699\n57170 80010\n32385 79761\n50757 63234\n39832 62854\n52260 97610\n10953 86496\n21081 65094\n4663 79705\n75791 97148\n37927 87689\n6166 83502\n1378 80992\n8925 24459\n27614 31020\n41150 66092\n34460 85279\n3563 42685\n62620 67739\n21458 37746\n40087 66451\n23850 90292\n38766 39949\n39063 81521\n14177 47379\n61183 75496\n53050 80243\n64792 74274\n34255 85533\n56249 82346\n24894 56922\n40684 90585\n57195 92751\n58142 98097\n54311 97274\n58258 90179\n48130 53570\n8116 97355\n55347 65784\n57437 67133\n91074 94346\n27041 27832\n12086 39688\n10191 45396\n47964 78598\n31794 82070\n65360 76987\n84986 89107\n67487 82128\n51856 67377\n82346 88987\n44964 68784\n6203 23792\n28683 58933\n66317 81876\n30693 55604\n58303 88800\n28043 76848\n7297 39737\n88984 97511\n4552 42321\n28293 65140\n36878 58421\n2594 40714\n57312 70349\n52988 99587\n41110 79608\n25467 86741\n36399 60743\n4535 37012\n94162 98783\n46292 72273\n37879 76021\n10646 27606\n69104 84636\n44859 97397\n15957 32919\n30153 96987\n84266 88803\n52637 57243\n79974 87624\n16244 79709\n3369 18379\n21176 74158\n2825 27204\n9336 73543\n27508 85262\n19214 47709\n73545 85016\n32532 35596\n34175 59720\n9391 91162\n54406 98636\n8982 49920\n62292 94831\n45316 92894\n28031 97531\n14823 49719\n76546 93134\n70308 83047\n54745 99977\n39931 59938\n67980 68221\n62271 66563\n42644 91624\n94735 95918\n13748 27886\n28192 32400\n28079 97047\n44584 61324\n42190 52858\n61320 84039\n75008 95753\n11642 99073\n15371 98658\n49762 75860\n5481 53954\n60855 87063\n18858 72323\n10656 58805\n543 7516\n70144 92418\n31705 71415\n53571 95959\n52085 92435\n29425 44643\n2974 81096\n14575 43836\n23300 45494\n67314 81011\n16619 19202\n47078 74033\n67665 84957\n44344 59239\n89738 93583\n56360 90300\n75195 94960\n47001 55202\n15475 54082\n85396 86842\n8911 79714\n45624 62650\n28196 58869\n62113 70254\n11811 32576\n40507 70308\n11798 59211\n44755 50804\n3914 45107\n16628 54896\n24188 81365\n6623 62249\n19805 61516\n12749 80253\n24132 26816\n14223 85635\n57440 96429\n17708 50886\n47001 51415\n540 36528\n25632 45314\n32011 97649\n25431 58282\n67490 72231\n66964 85596\n23831 25418\n10967 91149\n27207 54417\n77868 90815\n6112 13023\n50654 81266\n89636 91523\n13818 35380\n15578 87294\n32143 95789\n38121 91950\n3943 57788\n9117 30715\n16830 89741\n40672 47985\n13731 72514\n8050 70118\n1657 64716\n82335 93294\n56334 82569\n58937 84431\n48947 76919\n68944 92924\n13562 26751\n2363 27498\n49695 51035\n5180 53022\n28146 88035\n20421 36727\n3720 58574\n30085 98749\n2739 53016\n68594 82599\n45034 52691\n73092 95361\n39873 61460\n38773 56827\n45867 63094\n48932 65826\n33378 35041\n41454 81240\n39090 42478\n42473 62181\n1275 29361\n84736 86880\n42127 68202\n6569 41944\n33151 55776\n38216 41582\n34291 99780\n17506 57503\n7744 44818\n3557 97699\n88110 92595\n43378 60221\n20278 91982\n62 47178\n71779 90369\n58925 99193\n1265 15063\n944 16456\n63550 79476\n42613 59183\n55975 97827\n1055 37185\n37169 85838\n32596 36029\n26541 41146\n28696 37409\n44257 64715\n45666 78015\n57395 78845\n21098 89781\n14358 35382\n3730 82200\n7796 95984\n41082 88783\n85668 99653\n2138 16745\n1722 27044\n36566 87379\n34013 54662\n4971 70563\n22202 84642\n30573 52844\n4012 36681\n36484 57703\n7633 64264\n18463 61662\n1430 96313\n20526 91098\n33980 85995\n32904 57514\n41175 65638\n18132 86279\n39378 41494\n23056 85400\n57002 60707\n11040 40336\n10191 81767\n64281 88797\n5208 7493\n29388 79215\n71796 92262\n25406 87609\n70366 93237\n6626 45587\n59333 89918\n33206 68059\n17140 72484\n33638 92041\n29208 56367\n58554 92069\n36653 82032\n89453 98952\n4941 30533\n23168 60116\n38563 41566\n26550 40390\n39453 77930\n30386 32390\n66087 69797\n54309 79342\n35242 52395\n37796 59415\n2640 40942\n57920 80330\n61727 73462\n63730 89859\n48343 59407\n34644 79171\n37434 47226\n44727 72920\n14023 47968\n31039 99837\n23591 65952\n69485 76762\n29885 84330\n10317 23781\n84502 89239\n58455 94078\n27851 74533\n47397 80380\n22303 80166\n59841 69444\n6010 80235\n68564 92663\n49666 53503\n4406 53588\n25358 51407\n39037 76533\n53034 95164\n874 65426\n6324 60081\n71431 95699\n26675 95934\n47653 98018\n44114 48932\n57847 79997\n10055 64491\n14304 95627\n90522 97387\n42998 52278\n14264 18799\n16789 74737\n78958 81694\n3866 15944\n3520 36615\n46148 99584\n86087 99485\n69161 86716\n47560 78083\n1593 13172\n51890 85729\n25497 88680\n38344 67406\n28366 90127\n35208 36478\n59809 67751\n31984 65574\n86688 89756\n26185 65195\n70502 84544\n17442 98269\n15123 59914\n39085 79924\n25519 68006\n30793 68241\n10092 31191\n12745 99049\n29834 48327\n7340 88749\n50586 89773\n10870 13702\n5770 40957\n32136 75780\n689 75539\n61197 62085\n37609 94021\n56180 92669\n13091 54370\n29246 70569\n56406 83829\n21957 92913\n73085 78322\n63898 83954\n3620 51521\n77715 78358\n24241 29479\n59726 90010\n49046 99313\n55966 65160\n17293 64482\n5985 11340\n44006 60492\n15376 94684\n61747 73901\n41836 43885\n53245 62620\n13167 68949\n19733 65944\n54535 68796\n22230 48129\n47184 69068\n15869 93317\n4916 96029\n7437 10281\n57835 72807\n30348 30450\n39269 86745\n24895 28895\n31653 83031\n36910 58285\n33736 37275\n24800 25234\n3699 53252\n33173 83241\n47197 98996\n36118 79861\n29773 80793\n46226 58252\n8423 92849\n3420 91791\n3098 87442\n10858 50748\n48985 90923\n9921 46211\n12379 75419\n18223 50158\n81318 86937\n26307 89917\n89044 91543\n18241 42645\n18930 82774\n2778 68652\n4197 34946\n36068 95006\n53888 90828\n13670 22495\n72044 96023\n8783 34042\n52950 79406\n7084 22548\n1733 83291\n6347 43341\n19158 49087\n15510 50200\n3954 85898\n54535 91394\n20481 55500\n28241 54789\n8955 31725\n9423 43691\n61446 70789\n23000 97050\n24141 80685\n77679 87638\n35398 58260\n54568 88263\n31919 52043\n41369 95980\n50458 94904\n36748 47268\n16427 68873\n15346 51089\n7654 82695\n32204 58596\n2538 37645\n10566 80295\n51968 57387\n28041 55159\n53340 94857\n19149 57828\n25189 84207\n3061 84604\n25022 93941\n13698 95921\n65273 99698\n80479 95545\n64949 69318\n42551 76888\n12232 76270\n343 34502\n9541 42438\n53769 60664\n3073 39703\n23613 65502\n64764 72331\n74688 82212\n46897 61073\n83531 83813\n49743 49805\n4234 9397\n6452 71426\n64369 70586\n27738 65805\n41124 71783\n98231 99080\n9900 39934\n44636 97060\n47818 64063\n38136 57359\n16048 33348\n88964 99417\n23603 32075\n2460 58029\n13850 47280\n58572 96801\n28915 78226\n54441 66176\n27972 29300\n55133 85346\n18146 97012\n44661 47970\n9797 33820\n43059 84564\n83420 99417\n43289 43585\n12491 31069\n1180 33381\n31702 95297\n39591 90660\n48251 81011\n32067 71366\n61830 95139\n54012 83241\n43734 92784\n88446 98969\n47630 79371\n64939 66013\n50587 81881\n23679 42890\n2167 74456\n24273 40244\n6999 58174\n14523 88219\n74064 96536\n51592 83153\n16510 53093\n38839 71838\n52132 79243\n15992 91007\n7124 58896\n64020 83757\n28209 55270\n55759 86616\n43723 93579\n33626 72556\n1282 16732\n3099 98099\n70224 89496\n18096 52459\n17109 18571\n13864 19903\n42602 43021\n15730 71505\n31807 55241\n63480 84882\n12017 88319\n8144 88675\n90507 93803\n26269 93940\n762 61361\n39184 77843\n45113 96567\n22970 64836\n7322 65134\n20442 37092\n47500 85505\n20901 53116\n31217 76407\n11714 63326\n12348 18893\n49944 70136\n67 23694\n62201 74977\n13689 67909\n51861 62250\n78913 79500\n54622 91873\n26742 52834\n41394 46629\n45205 81069\n15561 70737\n6687 16308\n47233 49841\n23760 35913\n82968 97176\n31898 96746\n35726 69455\n26769 66187\n45975 56033\n53974 96898\n20066 42742\n19937 29619\n12573 90181\n55650 77388\n34147 42833\n10946 33209\n22449 76881\n23861 37928\n19510 23765\n52325 75899\n24569 91521\n15223 51852\n29624 49623\n30837 85120\n53698 63379\n4036 45822\n44904 77786\n11278 68692\n17824 55400\n13727 40896\n4539 97700\n40434 74502\n48243 92819\n61890 98084\n69152 94961\n20737 53420\n18617 36583\n16841 16927\n55706 99398\n23918 71137\n34615 91752\n63838 74771\n32365 93724\n19359 23829\n35333 35753\n35081 42305\n11148 26278\n82038 84829\n69203 82334\n21901 71555\n38373 44262\n65169 99489\n71390 85449\n44720 95800\n8354 54402\n30758 52246\n77081 89684\n53075 82212\n2253 54884\n18837 19083\n62363 84502\n37616 66231\n65853 91281\n35185 98724\n3743 10682\n52778 61191\n46217 87664\n49782 76537\n65684 77330\n8443 71494\n19143 36848\n62884 69122\n75841 75864\n53795 98329\n10211 87567\n1896 7531\n18174 18405\n14416 23096\n39561 76342\n37845 42867\n5826 91379\n45014 82703\n1760 17272\n13619 73640\n61592 92306\n16136 50474\n13405 79813\n24741 93365\n73817 90488\n32748 39207\n60495 89886\n6698 84273\n69708 72988\n66059 70157\n61457 79440\n10825 41706\n12744 92443\n22804 86591\n15051 29953\n61251 90735\n2890 37660\n16108 39630\n363 87495\n8477 68539\n19651 83745\n61230 84021\n5082 95994\n45296 47786\n65425 75599\n35523 87301\n23603 30787\n19864 71672\n19969 93124\n48346 76471\n26071 71991\n32063 52789\n68921 92725\n70756 76594\n87121 98862\n3202 56089\n4228 27456\n55109 69839\n20594 96262\n38137 64648\n15997 71618\n49293 62454\n39961 43598\n5876 51616\n86119 90163\n41951 78695\n22078 33174\n75857 77711\n77907 84291\n20557 99750\n6728 53040\n729 67862\n28011 28833\n14603 46907\n40266 41084\n83138 99016\n1057 48531\n37877 78094\n8568 95333\n22463 38870\n13672 49921\n25679 65044\n11648 37716\n52010 89717\n18030 62436\n5713 75820\n23955 33120\n76907 95412\n26955 34223\n41404 75199\n5116 34790\n20793 61229\n13586 59260\n9255 93626\n36276 44399\n12498 75594\n1866 75990\n10413 85480\n18314 32004\n18685 79891\n12950 13157\n97301 99911\n35970 92650\n24621 49552\n5300 74972\n4065 18956\n7024 34056\n56560 69795\n28206 49280\n6463 87955\n53814 89520\n28883 62514\n73457 84357\n26822 83009\n50142 85077\n1029 87329\n19992 94733\n44574 91331\n75244 86059\n30468 58940\n47910 70957\n55679 61084\n79730 85145\n39520 98792\n21802 53228\n23522 71380\n8886 9523\n63834 85302\n10643 80539\n43499 76241\n9080 19030\n35536 88650\n34675 45641\n31746 61852\n62219 62450\n30219 58815\n10586 99951\n56130 84555\n20651 59893\n8334 46107\n15456 62916\n20212 69625\n29586 66139\n67028 67943\n14433 92200\n2629 90463\n11237 97621\n29273 54022\n29298 54332\n15794 25101\n45320 75777\n36852 54707\n20031 75204\n9640 42296\n7697 40918\n26389 89687\n43112 92861\n21212 75549\n21681 88956\n44910 70914\n30800 94173\n20947 74936\n23352 95050\n10478 81675\n29912 60654\n19325 89862\n72051 92361\n33350 86291\n33715 43110\n56034 88487\n26968 72298\n62743 77002\n81998 93781\n40927 50616\n30349 32627\n56548 93039\n5071 23149\n25782 74265\n43832 92141\n28458 64426\n30436 49647\n12996 87185\n65161 75385\n66470 71055\n3388 47571\n50099 96773\n80226 93258\n979 58774\n27726 56266\n85507 92640\n22739 56465\n79068 95168\n20110 24657\n6680 9900\n40879 72621\n15471 59647\n73266 99910\n38179 47561\n58552 85607\n38727 63307\n36518 37238\n16412 39591\n9791 90407\n89509 97559\n3988 57439\n5655 86379\n5789 94083\n58388 74323\n68036 74115\n84373 90356\n59794 83703\n28957 32636\n72792 79058\n22118 30941\n23981 66085\n59746 75907\n38198 64661\n39652 52767\n4499 27682\n32846 82496\n19009 39878\n17593 36685\n49290 60351\n15800 28350\n19288 36625\n13619 16175\n65757 90099\n68286 83672\n8923 16586\n24678 51276\n37080 76195\n10412 64606\n9579 31848\n25099 65688\n32935 42280\n45063 98028\n24472 59988\n56065 80767\n39554 96800\n7104 18058\n21677 47175\n18178 91356\n39341 66173\n88758 89374\n41190 87498\n40143 83301\n75843 90294\n20018 86138\n36910 75035\n15785 73437\n6386 89360\n2890 37383\n49346 50058\n11965 41920\n80297 82833\n51323 88856\n9804 97029\n54842 87366\n28177 89983\n37502 80895\n15716 83731\n36122 36400\n7151 23622\n52514 99143\n82230 91616\n23788 63621\n8529 68570\n18277 37665\n2520 76876\n821 73570\n44738 88177\n6252 16988\n13637 50338\n20459 43823\n15634 22685\n20351 93318\n10762 77622\n43668 90654\n50271 57122\n38007 51782\n84432 85712\n19713 24838\n62512 87846\n27100 69643\n41339 96677\n34238 88822\n4191 68365\n4439 61219\n35650 80607\n15641 84760\n60646 83353\n76347 84877\n1409 7656\n36667 62561\n65833 82289\n42100 43704\n65008 96019\n28082 46434\n83185 85713\n23469 44145\n16425 24726\n1665 29746\n10676 49373\n79813 87140\n15338 29644\n42079 42542\n26930 85496\n40214 56449\n26751 55602\n38749 92805\n30360 84951\n3023 99503\n10950 99512\n2437 6194\n43401 49446\n7234 76230\n49346 92372\n4083 24563\n25917 92648\n43320 67968\n87750 96117\n12174 71341\n54619 95607\n6318 39387\n13442 95291\n9826 30574\n59203 97819\n14601 80316\n46628 61122\n72790 81484\n51943 89050\n1391 17505\n14127 79022\n8600 70086\n15074 30505\n39191 44491\n17458 38656\n9102 69686\n19360 55537\n28332 79152\n50867 63795\n58839 86176\n32877 51988\n19206 97530\n51196 76468\n36168 50276\n57269 74718\n77632 83388\n7170 83095\n71423 86627\n65442 80700\n5025 21388\n1614 99163\n53842 94119\n17373 96906\n20889 72486\n15776 66592\n45653 56932\n73958 75918\n32521 41367\n7009 69467\n14302 21316\n22943 97305\n490 1389\n62369 93194\n3467 43623\n39166 65734\n38121 64139\n40183 41116\n5212 29427\n37489 71196\n850 75098\n40813 58174\n59512 87675\n1821 80704\n18013 46720\n24945 32391\n27635 90403\n14547 99541\n29336 67043\n64018 67455\n17230 56825\n26705 37179\n14773 53313\n16870 41677\n44945 82017\n3398 35638\n79150 90099\n69437 94570\n57041 70668\n37762 71867\n33729 88225\n33932 58991\n5428 48256\n1168 31915\n8945 28337\n2595 86603\n7430 56153\n10235 80502\n21379 98395\n23 23379\n13069 65715\n16445 67521\n968 13577\n51266 99999\n81475 99097\n6238 26826\n31333 88659\n39844 74584\n56640 71510\n4284 72596\n24202 36005\n46545 59390\n42998 71638\n63105 68001\n84115 93567\n15289 85798\n88244 89930\n5202 14190\n25067 71956\n58113 78070\n742 51166\n6513 30289\n73203 92636\n31597 84015\n1671 16113\n40648 51176\n62209 88589\n61274 97025\n65337 83405\n5348 97479\n83307 93304\n59810 99773\n17334 82494\n70247 91103\n62075 64003\n54329 57377\n68510 91875\n47453 96779\n4385 20010\n43993 99878\n39013 97068\n19992 42103\n8088 37107\n10611 88829\n25863 32259\n74532 98002\n53790 88191\n40342 47259\n29158 78655\n19676 37935\n13225 98723\n23562 75971\n18997 58116\n17118 65967\n10231 61250\n54854 81269\n1742 24513\n63811 92074\n45413 71767\n45000 82141\n74309 79754\n61730 81533\n78315 89381\n10407 63923\n43372 96132\n8132 94545\n33980 88807\n38075 71562\n65499 69071\n12712 32353\n76581 84275\n71406 94069\n25731 30900\n25113 50943\n69598 76726\n16013 30687\n21522 30202\n27712 88869\n51769 76981\n15717 64329\n24444 53532\n36629 57825\n18425 63277\n11701 25734\n53390 59922\n34528 49226\n89974 94861\n32724 57469\n38441 79505\n24222 62946\n11193 23652\n6736 39227\n22564 48054\n2758 98984\n33644 60156\n7057 69099\n3854 28266\n40869 65631\n22831 54223\n12088 24506\n23731 65125\n33550 94258\n25281 57074\n35006 74862\n32052 56151\n55615 56043\n41803 62593\n3447 12321\n77114 86561\n62239 83381\n28855 73729\n6378 43748\n9518 56443\n14222 31739\n2354 38192\n1903 44096\n55424 79093\n30045 53562\n53999 93554\n38432 85174\n33198 47533\n83161 84627\n10265 13358\n50882 66461\n7219 57069\n82581 91102\n63448 96966\n88946 96927\n23173 57194\n43976 98155\n2210 5250\n52927 90642\n63426 96984\n47881 74587\n18248 72347\n14356 90919\n3000 7722\n3708 38485\n12818 51836\n23185 63607\n34980 50054\n28693 51191\n5786 34887\n22469 38390\n6015 34360\n60311 71947\n28290 30175\n37961 67433\n15532 76772\n6389 49147\n51233 63983\n39110 73206\n2196 31278\n541 33842\n44107 78997\n38079 93206\n50824 85984\n7759 51795\n62653 81051\n71301 98307\n27037 88885\n6538 87159\n15448 84988\n5369 58969\n71450 89486\n59501 60147\n6724 67565\n3718 47662\n2666 21269\n20550 51984\n22603 98740\n34051 75614\n11035 49922\n29777 90188\n34470 40466\n16947 61035\n22663 24950\n49797 99155\n19165 44305\n84060 87763\n43876 86476\n6960 24525\n14599 93283\n78958 84325\n2950 90097\n13181 93078\n48365 83622\n77491 78071\n22114 74357\n8185 13409\n32509 88673\n1478 94789\n35 1057\n24702 99431\n32163 67839\n58322 65806\n10622 91809\n41745 59640\n18521 25179\n26154 48593\n26898 58795\n1251 64343\n63020 84538\n9065 79102\n20414 35772\n50814 81772\n5629 30756\n26855 39833\n86306 91923\n11292 49679\n42766 74790\n55649 98964\n17677 18883\n32465 89604\n3510 58416\n3449 75163\n46038 46656\n8954 10065\n4920 14246\n14119 42319\n6016 94685\n20698 23742\n5269 73541\n47544 60377\n7813 9339\n5469 50689\n10425 28281\n36655 81487\n34161 65093\n55906 67856\n7537 12824\n2757 76881\n568 91849\n11867 32120\n46668 63578\n5001 81192\n58127 92963\n2420 50627\n29421 99263\n24049 74862\n69741 75848\n40942 89795\n42539 80218\n68594 74642\n4762 21526\n31195 44423\n5978 59148\n27297 48837\n31323 58817\n31689 76235\n64948 87832\n61742 78099\n53567 92999\n65032 89521\n28185 84582\n52692 78446\n3381 63413\n84 19018\n19949 28919\n65466 90355\n70296 85362\n20404 67349\n23786 45889\n80481 84033\n42411 47370\n29234 75508\n5449 18620\n14536 20565\n28301 94661\n15380 31497\n59211 95411\n62926 67478\n13918 30545\n65473 67603\n60296 66968\n10204 31847\n16658 44270\n82620 89844\n54140 82182\n7990 76764\n5690 29623\n8522 71003\n24262 35289\n17014 36629\n31764 76201\n47579 78062\n7229 54320\n12180 68430\n57402 98899\n19261 99156\n3022 92017\n88203 92552\n1781 43732\n86540 88877\n36300 98111\n13059 54100\n13330 31580\n8080 10712\n62031 84953\n2745 88099\n31067 40183\n494 88723\n11091 73560\n41972 65791\n2725 54177\n47120 55266\n31299 59181\n5006 26845\n26444 74236\n23893 44014\n7379 43807\n4268 57296\n48015 64945\n34289 71785\n18335 54331\n66135 73629\n9299 60021\n27564 29041\n68529 93407\n17323 24619\n68449 86358\n1181 30192\n5167 56093\n30190 33288\n8063 21801\n66690 82418\n2347 78790\n31507 41621\n8293 56467\n61472 81472\n14050 71150\n13825 90404\n40522 50051\n25777 66008\n415 97882\n29988 33840\n45483 74904\n58511 68886\n26254 93474\n14577 65028\n8439 48330\n8577 96157\n15000 50626\n68253 92491\n19355 54469\n39689 64118\n24987 54618\n15962 56670\n29822 70104\n37689 47515\n1624 49692\n19509 80545\n9219 98066\n16880 99201\n41452 95788\n86736 88519\n7012 59327\n24132 35703\n15567 62487\n55048 56684\n63747 68412\n78145 93105\n6413 59641\n30538 81441\n34235 71175\n66940 73935\n53910 60812\n20524 35713\n5988 58443\n46718 88458\n22057 50679\n8064 37718\n13651 56104\n12653 30238\n38759 57414\n4643 78811\n36931 46081\n829 57753\n24451 42656\n73582 86893\n56976 62405\n16663 65115\n16284 75483\n9964 93146\n63004 72404\n41884 96775\n23025 24829\n90952 95489\n54075 82716\n35839 97128\n6388 12640\n47788 85381\n1580 36722\n78696 82026\n10865 47811\n3035 26137\n19581 44479\n57644 89539\n37544 45439\n42123 47010\n18582 69889\n54196 94537\n14400 25270\n4258 46878\n61816 74785\n826 51734\n1063 12254\n32329 88951\n35829 97276\n7969 24374\n7226 81026\n26928 90970\n27207 52145\n46092 47575\n31894 47165\n18920 74355\n42798 94437\n20804 86827\n59272 83256\n53902 90205\n42292 78989\n12100 59503\n59816 68907\n22927 53164\n28084 80703\n634 72051\n30418 66225\n24887 58288\n16645 58062\n66116 73797\n17046 82267\n16503 50339\n69683 83364\n17400 32171\n5562 70065\n45163 50522\n50072 68897\n25228 52533\n26459 37323\n32373 79361\n58666 68485\n68301 98768\n14810 53610\n34156 41118\n87015 89996\n47815 76956\n5913 34079\n56627 69513\n8968 28468\n10813 73311\n9267 90794\n27525 34953\n1900 84910\n10621 44738\n36332 97318\n5371 89230\n66212 92522\n72215 76871\n42402 43728\n81034 87243\n60042 62970\n1010 27805\n45184 87185\n24206 43094\n8378 78872\n16196 16738\n10157 45909\n27069 45323\n12832 19201\n21972 25866\n37778 56745\n6534 55357\n48895 94937\n9115 10120\n90338 92810\n85433 87626\n52237 81121\n3151 90365\n38431 46831\n2344 95416\n79872 84006\n53470 86007\n20093 55558\n29649 68825\n36869 99515\n35464 53898\n22030 52292\n22947 71256\n44141 84928\n21587 50022\n7311 72007\n25268 36920\n76366 87386\n49215 81567\n44213 44347\n40508 44209\n10045 84423\n2457 65195\n37029 38575\n13511 46867\n10617 99972\n50189 79756\n76777 78206\n854 46769\n16081 45585\n33342 57937\n30817 76004\n50090 98916\n14254 52000\n18180 61292\n44806 96285\n27950 80491\n49260 85720\n15453 70654\n50007 70541\n18923 78129\n2317 94844\n22999 45473\n6765 57886\n10395 40997\n16032 77279\n12536 43814\n75924 93691\n21870 57499\n29094 63787\n46621 78539\n83116 98214\n64034 88870\n61066 78720\n89525 97213\n35617 53797\n41032 64407\n48793 78512\n21454 48768\n69309 84148\n9003 35791\n69487 84528\n37479 38497\n5486 57411\n22231 58997\n44569 77134\n7126 56673\n76826 77362\n26497 63533\n11638 55441\n5899 87582\n5907 57455\n466 60248\n9448 50890\n36226 91780\n2014 22269\n846 97996\n26172 88227\n26476 46315\n21219 80159\n12146 56590\n528 75944\n4294 95842\n20625 57122\n14346 34012\n43654 93124\n55154 63456\n36873 98954\n23303 35346\n37358 84729\n57465 87438\n63816 99152\n31487 69245\n31533 31855\n42762 59303\n36259 42950\n20099 49495\n21803 27840\n6213 23578\n36421 53819\n12263 51274\n16227 87957\n2181 57682\n58301 93936\n25037 95670\n22986 84393\n15096 30801\n43608 85086\n42578 74571\n72347 73296\n21110 98363\n40875 64702\n5019 57258\n42205 55411\n43374 44230\n3505 53203\n35973 59268\n42278 61539\n39301 49364\n8219 75258\n44493 85458\n25946 64735\n57727 91748\n5846 18448\n58071 66312\n10222 58619\n19638 24608\n71022 85627\n1320 47626\n38670 57088\n31241 73559\n39525 92347\n62169 85640\n66605 95779\n9507 85815\n12237 57189\n81868 83880\n20975 48582\n49830 82344\n23459 78773\n17767 95491\n72693 97567\n42312 92142\n4147 8382\n42109 66732\n59287 70209\n96718 97891\n83175 89510\n66863 91091\n5417 10981\n37982 44399\n53085 69909\n9374 19586\n32411 64841\n64565 78801\n16306 81653\n31762 78087\n19078 91218\n53878 69558\n61725 68972\n4994 17189\n14862 91820\n60958 98856\n49866 74382\n9650 96711\n53573 68369\n22986 92314\n71564 76703\n25644 97089\n81111 84319\n1932 69506\n39293 72825\n12840 63036\n20947 79298\n39598 86280\n86065 87450\n26663 81387\n46796 95491\n54984 94502\n3010 32952\n15997 84846\n21362 46951\n76330 92741\n2178 63258\n38046 93177\n2595 97000\n59776 66265\n75506 99553\n2543 48043\n4654 68137\n4 32214\n34953 95958\n16540 56352\n15571 73490\n4679 18526\n66470 79707\n1799 6272\n4886 81994\n28288 66400\n29292 40685\n9691 38135\n19912 54551\n14306 41712\n20919 40089\n10011 90997\n24446 74569\n43089 89912\n66599 95298\n48525 79602\n8312 80157\n1062 93137\n3833 85179\n500 4946\n40682 51309\n13928 86622\n4653 33233\n59467 64409\n9624 15066\n19251 53225\n32729 59655\n17914 69012\n74579 79227\n44369 96877\n78003 79054\n37930 39733\n33873 76084\n10788 88343\n34054 35183\n34560 59452\n7444 22922\n700 38228\n15354 97256\n44262 77020\n1897 60443\n4216 64430\n56632 87317\n31922 36062\n1124 65576\n12896 24410\n18659 21863\n87438 90778\n61781 84221\n18238 22158\n56717 89532\n8668 57251\n22642 69287\n12301 25504\n73665 99154\n18717 26393\n11416 80238\n20466 38353\n45288 85944\n39365 83531\n77015 89459\n70364 98131\n18426 48743\n32336 77674\n26157 42179\n24698 30615\n31545 89858\n62933 81064\n72390 81257\n96092 97338\n45048 77553\n14429 19182\n9878 35687\n37499 41672\n51147 69976\n43067 90026\n14712 66450\n4412 68162\n37611 91259\n42951 94416\n42971 71763\n521 78721\n65180 98418\n19829 96314\n24100 82650\n2863 39324\n31239 71088\n58932 79723\n72585 92530\n25431 38504\n20013 87123\n1447 54951\n41480 87979\n40486 86988\n2185 36145\n14731 37916\n18984 72235\n4193 63659\n35310 38928\n52335 64356\n15619 99284\n37644 66257\n56717 89752\n29788 59517\n43280 64409\n47291 51905\n7719 70324\n67678 99914\n62562 82051\n67995 84312\n53145 75590\n82719 91339\n20068 85772\n20138 55772\n20512 84470\n41234 51218\n69609 90236\n43686 88359\n17270 21421\n54849 91860\n19890 28404\n30616 41772\n38115 62428\n16547 56946\n23281 60257\n22085 22506\n39945 97878\n62505 84332\n64024 87783\n20561 77632\n46528 51557\n76142 97138\n65862 98822\n44337 53514\n37048 89048\n65307 96666\n16258 52933\n43513 75842\n27116 84938\n7648 72388\n2425 51697\n8595 14623\n14928 57029\n17560 18761\n4190 38767\n45342 69479\n19322 67771\n31302 42907\n21111 57807\n31741 54511\n49472 81799\n60339 82709\n63847 87626\n37135 46625\n4413 16996\n5942 80135\n53718 74156\n30363 83921\n7294 24009\n10000 22266\n58156 85883\n14498 34327\n34806 96541\n75497 86124\n57672 80781\n33852 67909\n96552 99878\n31429 99148\n3447 14725\n2305 37286\n55693 79245\n30176 73032\n1865 19904\n20817 39605\n62596 89805\n29047 70101\n4331 28732\n28020 84745\n36924 95481\n76769 93258\n10557 16668\n3724 4201\n32473 71654\n11299 32479\n32959 72338\n43036 54997\n40048 75352\n63216 98869\n46965 52582\n29982 43394\n43856 86492\n59776 79253\n79628 88570\n60623 76579\n12611 55681\n33414 65056\n25932 70149\n20972 54821\n39875 49629\n18559 39631\n80100 84926\n76509 82902\n4189 89859\n521 97335\n35111 73758\n8158 73637\n12236 40718\n27777 71382\n12092 59671\n30688 72640\n12131 50356\n34509 76192\n20491 81935\n95287 96182\n55085 91443\n30911 41701\n4751 12642\n9259 40163\n40665 85447\n43050 89539\n86439 87604\n27147 28903\n33769 70145\n66294 97054\n10708 87942\n17277 63092\n69893 93326\n49105 73175\n37866 70286\n8229 26933\n39212 81971\n6979 84008\n34944 44258\n62308 81752\n58233 81753\n11420 56983\n10310 60337\n873 98139\n68700 88429\n13504 23633\n69476 86240\n16681 69649\n49132 86377\n3145 88918\n40195 71154\n35299 64569\n48160 75436\n15734 31818\n1479 20046\n12083 47418\n5763 6227\n3525 35935\n60745 77186\n43587 50538\n37392 79751\n28730 98162\n24023 32362\n809 57811\n19334 37496\n82968 94475\n31572 98531\n11376 14534\n6785 37266\n30332 91316\n55436 86968\n334 90506\n7739 87660\n58401 61882\n23510 79123\n69490 83192\n23750 48621\n43497 56378\n15420 44494\n25916 46146\n26176 33829\n31784 74863\n54770 55405\n454 73590\n2303 79661\n76231 84200\n15630 42568\n49489 73935\n68516 94916\n25250 45417\n30539 72760\n63279 77041\n74086 90377\n28135 48967\n45094 49771\n27757 66466\n12209 39064\n9684 28714\n25817 94112\n63668 81751\n41522 56734\n12013 49188\n49294 55097\n58625 91475\n52049 61380\n15627 96708\n40700 69569\n72090 84149\n36866 57061\n68529 87210\n9303 24609\n17115 33009\n2964 83984\n7620 56286\n46827 87958\n15725 96417\n49168 63960\n43802 77992\n44544 44570\n4984 82186\n29632 88927\n13388 17677\n68993 69627\n47963 98158\n22141 34387\n7966 33273\n7083 71621\n19646 86718\n21694 87296\n69156 84961\n65302 77968\n42373 89971\n47866 70136\n32183 62807\n36456 66065\n8733 86298\n38675 81270\n27239 36662\n1640 25525\n23707 43161\n64659 90203\n3427 19619\n43501 94203\n33570 83415\n77335 84559\n68827 95427\n17114 82652\n17423 60678\n44131 74128\n3583 52143\n4546 43759\n7327 52839\n52703 82137\n20052 84169\n6946 77103\n67732 90833\n47045 86592\n89698 99793\n33771 74309\n52977 55164\n18446 41517\n17011 35070\n46570 80076\n35532 79038\n25655 96602\n35193 96332\n67934 79089\n58733 64939\n44700 85472\n16510 84747\n4530 81573\n17055 17490\n63396 92835\n2370 29933\n57529 67772\n53548 77641\n16121 46843\n14323 89594\n2401 27813\n48724 49755\n24613 52157\n19676 49234\n17122 93641\n8024 87224\n29919 82317\n58162 58265\n34096 63002\n81590 96199\n15116 81278\n24248 56227\n9289 12947\n5273 89504\n53793 54177\n41534 53768\n85194 86288\n7338 32609\n51746 99124\n81442 94836\n7909 62979\n6225 27701\n37169 83967\n24425 69830\n20646 64263\n48326 66497\n17891 99965\n74277 82486\n9351 72231\n32340 45973\n77304 83970\n17302 34895\n39742 48080\n8750 24063\n7905 61311\n2392 97142\n20900 47017\n47918 74843\n79711 86771\n27052 60006\n69185 79811\n24051 40276\n7190 54890\n37617 57724\n59224 82356\n77757 81147\n8989 26749\n27578 49773\n787 2954\n900 28150\n36430 58402\n28587 54598\n21087 61740\n23694 93743\n24754 39884\n36279 42669\n41836 56801\n82639 89591\n37024 98817\n53568 70282\n39707 46721\n35916 69229\n35517 72080\n18336 46577\n31069 62138\n30707 60194\n12918 60021\n33071 44666\n10757 78550\n51998 66111\n10934 70399\n6862 67144\n3626 6934\n40236 57674\n16345 87013\n60776 95030\n2989 70739\n11135 69511\n31297 46784\n11392 68048\n15527 69978\n10800 25342\n638 64477\n20653 23367\n33431 54200\n35475 51858\n41191 80337\n7715 50990\n89295 90229\n30524 36095\n3629 30772\n18820 44997\n10515 24090\n24393 61657\n15653 16371\n21725 72320\n36427 82561\n16222 43711\n43427 67463\n27568 41338\n62889 74768\n2829 39402\n41708 48711\n5584 43084\n3232 42235\n61857 91286\n53867 61328\n29968 71572\n12155 34007\n32647 81574\n6210 18443\n42312 67830\n60521 78773\n623 94055\n42978 89845\n33598 49943\n6980 94259\n32828 91588\n21795 56179\n19501 38901\n44834 81508\n3921 70952\n31663 47074\n26441 52523\n7993 23930\n14455 20864\n26665 52170\n67290 87984\n31195 46825\n5072 84302\n5943 49804\n25779 37966\n23549 98054\n44721 88728\n57019 95630\n30644 41620\n19329 60758\n14305 91045\n27499 40639\n12957 99663\n44442 58888\n6277 22069\n1586 42633\n40574 60273\n44780 66139\n86080 92066\n58293 97227\n81854 86212\n52490 75924\n12665 57896\n65557 98437\n14063 45572\n80871 89040\n23769 93170\n46730 88458\n2615 48119\n3243 54082\n47471 56462\n27894 33429\n1141 25924\n38600 87795\n27040 29904\n35134 45670\n38988 83539\n42869 70917\n75753 76691\n9880 33165\n19422 60609\n30282 41863\n22254 36168\n64355 74224\n86355 86381\n40466 68023\n86351 93334\n19211 97575\n27565 60383\n1527 12787\n13507 61846\n32210 45542\n70526 76538\n44563 91420\n31693 45722\n40257 67891\n39345 97499\n41518 43567\n55541 56150\n52391 61626\n25210 51559\n54657 56295\n25739 27843\n16398 36520\n5518 54508\n30964 58311\n44966 67048\n57796 86365\n29276 41650\n5067 38025\n79642 87983\n18262 84268\n7863 14074\n79665 98102\n81307 85268\n9915 24433\n7478 31481\n26873 72078\n19879 48029\n25999 73734\n49424 79314\n32488 37728\n27203 61696\n67652 89716\n31928 32279\n64511 68644\n54125 73843\n49337 94605\n82004 83979\n25944 75565\n83334 88955\n6147 44588\n73992 81637\n22292 52743\n16548 67438\n74079 86121\n36072 54441\n2366 27329\n8963 23264\n60194 97668\n85949 98511\n59023 87156\n59546 75415\n11211 16471\n45002 65295\n66040 83455\n60147 80955\n17399 65805\n48337 68644\n26493 40445\n10361 89979\n6905 65920\n17299 51473\n60788 71043\n5838 45027\n58408 90795\n67101 72329\n22320 42188\n67874 97530\n36835 89873\n10628 54568\n7210 17253\n39907 50419\n11324 59244\n21655 67855\n11117 71932\n20834 60919\n62134 81581\n37783 44646\n16041 48559\n46124 62054\n21108 52681\n25993 68540\n16944 59182\n91899 97138\n26249 58252\n75676 79311\n39302 59109\n25567 70813\n26514 44456\n43004 81825\n15461 24496\n9117 77259\n44350 80458\n11192 99119\n55283 84665\n1192 17549\n5915 34331\n10006 59874\n25996 78750\n2508 6360\n22883 46092\n12465 64736\n44904 60297\n8624 64741\n19356 64044\n46386 57653\n30791 97005\n40931 42193\n7345 16692\n26139 56953\n36856 55811\n37218 90758\n22964 98083\n18971 36616\n37750 39264\n7884 56912\n36604 78319\n1465 49949\n33355 62530\n63862 92138\n68955 74871\n8542 95044\n71192 85174\n41618 79833\n38352 79166\n32427 84359\n41165 98949\n19051 93920\n1846 70497\n17502 34165\n73565 81470\n7684 27499\n33837 64713\n35879 48994\n89497 89810\n56773 86938\n50402 94328\n19885 78108\n7838 83876\n92510 94384\n21685 52662\n20108 21057\n21318 84845\n36850 90757\n16275 39505\n28537 83284\n35669 68770\n56552 72226\n7113 42573\n59761 75971\n78052 89005\n228 67672\n55475 96839\n38427 58500\n18150 29758\n5136 24365\n60104 89270\n1861 34102\n62032 86271\n74672 89963\n964 50314\n25634 93793\n31299 98542\n44115 67815\n35069 61165\n7790 17265\n10493 51178\n43899 45050\n11764 84673\n43762 88513\n80035 87376\n26401 34541\n19910 70907\n89129 91378\n69091 71957\n47230 55584\n20737 40119\n16185 37153\n35298 84105\n79450 96780\n13359 64814\n24422 81261\n13853 66839\n10364 47281\n7268 88817\n11512 48125\n30377 37109\n1293 95526\n37446 65733\n55341 83548\n31536 68456\n2902 18529\n38481 87007\n5331 32175\n46366 78993\n39277 52541\n9852 47316\n52363 82279\n29338 85262\n24368 72788\n51410 64669\n33377 46122\n62413 83789\n31922 88694\n26149 56615\n61814 86978\n31582 92989\n30030 69433\n34904 48960\n11838 63494\n2146 70262\n17839 96328\n51491 82691\n66190 78156\n13132 37130\n40031 59726\n50968 91040\n45068 76565\n53786 72774\n15548 62818\n20823 50540\n54662 88136\n10891 91740\n24061 89678\n14786 45696\n4973 47305\n17958 19936\n22153 88207\n73088 91541\n25978 74788\n1511 82043\n3572 42439\n13382 26054\n2042 64587\n34782 61840\n53499 75502\n1539 84900\n17889 69616\n64501 77495\n24984 67749\n13309 43954\n15638 85327\n12260 55849\n54020 56414\n63378 83727\n76922 80657\n23308 27414\n3187 39425\n18771 39158\n78366 99813\n82384 82429\n15363 39470\n9390 73898\n3886 57980\n91508 94289\n17744 48205\n12082 47824\n4663 89548\n15208 40422\n3255 96929\n19010 25200\n59251 92470\n6310 77501\n2717 84722\n21375 27458\n21127 52498\n15432 94427\n16982 82986\n4896 40222\n12135 89016\n1225 81925\n10085 71325\n3562 93563\n8642 24691\n29990 89793\n67604 75980\n16639 40675\n5568 30048\n48651 63316\n44804 65713\n93949 97540\n61450 98251\n2309 61845\n30078 95444\n9723 82939\n37972 79387\n74667 92523\n12316 67386\n27784 59283\n56912 75885\n23945 71416\n8491 80804\n79888 98700\n22219 81804\n46830 49293\n57016 71887\n60945 95958\n16868 33233\n28531 94786\n28729 71264\n64266 71135\n13417 16550\n41132 78202\n78509 92650\n50156 50414\n70746 77222\n27234 53072\n83669 93157\n10097 34346\n2520 2605\n38782 77638\n81994 90035\n23795 41407\n52089 54538\n70974 79385\n52526 68124\n18791 74069\n23088 74140\n80716 92688\n23731 84501\n73272 94382\n72498 92737\n71089 80430\n5737 94802\n83610 84092\n92866 95238\n12394 76151\n31608 65863\n39489 51435\n6208 56893\n10135 61207\n37236 86546\n71653 71956\n65543 90235\n25698 43094\n44836 88289\n9135 24049\n31276 97019\n90451 94379\n3371 95083\n42732 70493\n11086 57333\n61192 96448\n10555 60093\n20187 44666\n78280 98445\n15870 95654\n52706 86431\n59558 96259\n3398 5155\n19522 86161\n8701 10560\n43255 69270\n75729 77952\n39786 72309\n29557 36402\n71354 97832\n93985 94724\n92397 98724\n21374 77077\n47173 64970\n89551 90751\n30146 80069\n58908 89285\n16935 38566\n13359 16272\n25920 70605\n44010 51620\n5929 81915\n37128 47173\n33072 69407\n68473 76974\n935 57148\n26257 84688\n75766 91715\n19193 86810\n56435 82685\n53960 72249\n45788 46893\n8961 44442\n29585 39761\n50923 89040\n24110 88584\n49494 82734\n41448 88267\n78891 79797\n11994 98300\n7218 86270\n21295 58880\n17538 56132\n12684 77111\n76203 93326\n40341 75132\n79628 85543\n2320 38956\n4239 82117\n5160 85060\n55992 89526\n56605 71608\n5352 38075\n20681 51987\n30876 69193\n1017 41682\n48066 58159\n18297 25116\n8420 37965\n53777 60613\n91423 97591\n37038 40578\n42131 89101\n11256 36255\n31539 73165\n42198 73656\n6021 45439\n54131 58821\n80257 82386\n5961 76430\n23282 86889\n26523 84513\n29273 57463\n17594 29634\n22031 27922\n41309 55643\n56738 80755\n11754 79821\n19437 26643\n17969 33866\n38948 69855\n11388 47586\n7256 93433\n17738 67273\n44820 82719\n65389 85918\n32888 70382\n42376 93723\n37419 71556\n26459 66265\n98 94966\n51051 87871\n469 99905\n82668 97317\n58351 74058\n25282 31596\n17972 74366\n7778 46544\n16875 98492\n52359 67828\n14413 93425\n20899 48095\n10480 46867\n7500 33788\n63988 91735\n13408 77311\n1390 3484\n76053 94158\n25797 72699\n34698 42698\n14434 27407\n86189 86730\n77573 94842\n37365 46343\n96097 97303\n28326 76470\n4609 14630\n7004 77583\n56442 66283\n29600 41223\n36832 39374\n46802 85349\n8573 98523\n15518 18940\n48460 84813\n91765 92933\n1697 12189\n77768 97200\n56615 82955\n25206 70799\n14958 65866\n52231 73811\n36193 53999\n17199 92904\n6464 32469\n391 61749\n32122 97433\n63066 95245\n55950 61953\n88219 94658\n17608 49509\n2046 10222\n23898 74495\n35220 46604\n54360 79116\n5659 68592\n8951 43551\n56846 66580\n41472 90306\n45375 93931\n35201 78981\n39484 63522\n74658 77494\n20177 87384\n33711 95586\n20605 35475\n9591 56541\n476 13954\n80614 83250\n53463 94739\n16834 91121\n7091 26815\n7046 80901\n64579 97397\n29538 41448\n24884 88174\n25085 69175\n3330 86534\n26229 26396\n82672 94787\n83128 94917\n31305 36193\n44419 62278\n37822 67758\n65595 82221\n42349 98776\n31445 42579\n18073 77536\n32800 65281\n45753 45999\n52690 88887\n29055 79685\n33143 64875\n78594 87761\n82124 96594\n26677 85329\n24382 28039\n35696 79283\n5314 15103\n928 75618\n15023 54789\n22400 28376\n10821 21252\n37047 86694\n99 90196\n59857 90095\n34427 53311\n67052 88083\n13292 36070\n26989 61194\n27807 57820\n54860 58424\n11984 94594\n37083 80845\n35247 52388\n37973 85816\n765 81281\n66895 70699\n51213 82499\n16027 25036\n48665 88485\n48433 82515\n12212 29193\n33772 48144\n53219 96193\n54827 71555\n30215 86909\n49840 96210\n23808 59651\n9720 36062\n714 90360\n14129 21867\n55214 67899\n27478 47638\n36063 72569\n21594 41068\n3784 37626\n30864 70109\n13404 47015\n52835 82944\n46191 48751\n65371 81096\n14563 89192\n66775 71424\n50027 59148\n10544 69303\n35235 65964\n2665 23459\n69204 76311\n50419 53254\n20775 55747\n27899 40966\n1110 79119\n19514 51468\n69571 72214\n29957 98288\n6865 55202\n38257 69977\n27447 35254\n9351 36949\n91844 96819\n44242 87144\n70464 89652\n767 45280\n2626 34565\n8178 62131\n11422 17599\n14897 26116\n75442 95845\n10781 91283\n8431 95183\n70808 98823\n70614 71257\n11395 64243\n54428 54874\n54956 60463\n76980 97822\n62446 62599\n14842 58474\n7775 91830\n12532 95886\n27328 72569\n12370 77934\n9461 66391\n15796 17297\n33984 84120\n14857 96356\n15528 68561\n22436 60362\n57272 65534\n67405 71922\n4651 5635\n19484 66225\n14842 19366\n45159 48743\n90414 95949\n24214 93149\n51281 99186\n58822 79286\n48247 68284\n6792 99448\n7560 34966\n49638 61252\n56048 84832\n61088 74683\n38330 75509\n26169 51034\n2155 2169\n60484 92345\n18894 26181\n1244 70728\n26093 98205\n20794 74315\n14819 27437\n75587 79886\n27109 44882\n23975 93002\n2200 98604\n7537 8823\n37956 66394\n61844 62424\n72647 91033\n8905 20454\n25483 55219\n54363 70848\n9396 32328\n6186 78275\n26900 27360\n36283 71758\n25112 41043\n29736 97746\n38805 88255\n34471 99372\n7361 14872\n4451 66888\n22017 62811\n22482 88308\n24779 78906\n13598 27251\n42869 59760\n15667 78571\n92460 97725\n67455 88234\n31661 50492\n4942 25139\n42576 50191\n35021 84924\n87166 90763\n38015 98639\n12439 47665\n48809 52702\n53407 58021\n18626 37982\n27504 38831\n2569 17984\n70289 70376\n3848 96233\n53619 54257\n19693 99194\n48556 85624\n926 4556\n26519 96742\n35531 40560\n3599 63247\n43269 86547\n5214 88938\n46016 97151\n64655 97824\n24553 86525\n38568 68199\n14331 38850\n6823 78486\n19183 51262\n64644 65817\n62655 73321\n22322 57294\n14410 56639\n5975 64013\n27817 35574\n21878 78044\n52893 61757\n15129 49534\n19173 46362\n5386 41358\n17559 32582\n85771 86413\n14089 17056\n11927 71343\n65548 99204\n1714 69035\n14488 36917\n40505 50018\n6009 43762\n3376 83770\n10470 97644\n52299 94270\n2690 7399\n68824 70264\n15792 39550\n27164 34651\n11075 55908\n54963 75009\n18944 35131\n7403 32965\n5209 27173\n19535 78145\n56883 78276\n4187 8708\n1651 54541\n40079 90915\n67291 82678\n1450 18602\n44405 63526\n45422 98862\n29006 76254\n47359 61660\n10750 65574\n35745 67864\n35486 45611\n20255 68909\n7180 80098\n21770 49197\n73400 76599\n19418 76870\n38990 75556\n61146 93615\n41442 42161\n55732 91302\n55105 77212\n2181 40192\n27447 51091\n20184 82005\n50396 77044\n7072 74192\n89554 89852\n20417 69622\n41696 56903\n31837 33271\n15331 96196\n16329 72213\n55366 84889\n26373 78437\n40104 75382\n53146 60378\n82293 97307\n1123 48148\n42554 78216\n17651 61431\n17675 37558\n31965 83916\n39923 81856\n38092 68151\n21973 47849\n66461 71887\n32120 60240\n27771 99043\n36309 77327\n48967 51009\n28247 37611\n52008 93429\n12782 18392\n26342 94858\n66609 88079\n45160 95200\n6958 98446\n3610 87331\n57434 98022\n75038 86804\n62841 76979\n16448 30335\n28483 37877\n3719 67494\n22573 48677\n32791 33306\n343 45526\n15234 29443\n88742 97135\n6383 88778\n283 57179\n37309 42800\n47564 65476\n32539 79471\n49875 72377\n14103 78502\n31597 83641\n81216 98429\n67044 87585\n34465 69479\n46834 60879\n72110 89482\n32513 74985\n25055 75587\n6642 19632\n22697 41982\n85853 96851\n10442 93708\n35117 81777\n32540 61803\n2311 10069\n34723 83099\n25571 46957\n20989 66011\n90464 97794\n10121 37625\n61378 70947\n121 98982\n16536 88160\n30718 55449\n44304 55855\n19064 60024\n45834 63052\n37863 51037\n32944 51069\n53795 84066\n1802 81997\n80202 84021\n18388 71468\n75586 93925\n17962 41900\n34726 44803\n62395 96134\n41753 77883\n44314 58159\n82126 85393\n52325 92210\n50062 60438\n25989 79220\n15450 93335\n66216 98202\n3044 15386\n480 54098\n64131 73333\n13913 59368\n6235 86265\n59459 62890\n84586 91327\n4946 79443\n42865 87694\n41686 60868\n22853 72908\n49555 80096\n37417 84342\n37412 38400\n56970 78791\n55117 72978\n3633 83343\n52529 68916\n78575 93271\n49914 63436\n62545 96882\n2320 78149\n6957 99687\n15576 47016\n42245 74739\n23137 93109\n26525 88156\n6995 43266\n22043 38738\n19447 84713\n22031 31701\n19133 59256\n31362 47313\n52767 56543\n45527 94983\n9081 78095\n12159 78169\n12738 50287\n34771 92022\n32247 55650\n33687 81200\n53136 57841\n2184 11724\n48873 83388\n19804 99409\n21101 31126\n37312 98407\n5345 22970\n52 96631\n232 4614\n61050 78934\n7069 23141\n51388 91214\n16869 91360\n65132 87831\n1955 84988\n14368 51196\n94429 98251\n60274 94691\n25723 96372\n235 94897\n35108 73882\n29335 74104\n6972 26071\n10698 20332\n37573 75209\n82540 89095\n29114 82585\n4177 67749\n43737 75346\n7061 50741\n10913 70318\n60857 89219\n5585 22544\n86243 94911\n19439 62646\n16083 86204\n34943 38736\n6270 49842\n20204 56022\n5621 39528\n74367 97849\n71754 93627\n31950 55533\n13094 55630\n3106 51240\n35658 87609\n464 50450\n27317 28721\n42572 71416\n16014 68610\n58361 80648\n7942 51476\n24415 54821\n84475 97185\n40553 97139\n22168 95346\n68054 71479\n22077 27910\n41409 73635\n74240 88505\n93552 97111\n27533 86179\n44801 53756\n54685 56739\n31391 84747\n63582 85305\n9524 77324\n52197 83560\n9662 89539\n18621 19582\n1731 40864\n17556 67322\n25980 47734\n36384 87734\n25015 37357\n52544 99964\n4682 77131\n69825 97197\n17912 59822\n29425 40870\n7362 42789\n28868 46596\n19710 82095\n36927 77254\n13050 44523\n32392 49160\n47335 90623\n13608 98333\n38204 87797\n12485 79625\n2995 93048\n42852 52165\n11127 54139\n32600 32706\n20058 91215\n24435 46132\n29722 63605\n18181 75954\n22142 66883\n25539 78157\n22027 86232\n71213 99822\n65987 86569\n5506 65530\n516 68384\n27090 32542\n13262 54975\n60895 85491\n27007 88284\n89570 96454\n50329 74268\n36203 50759\n42705 90004\n52252 81986\n17028 90736\n27331 56483\n49795 63193\n18390 93446\n14242 47079\n34394 41079\n53720 65668\n10481 68678\n72025 99295\n61423 94049\n71869 75483\n7454 80087\n57563 71013\n33699 36461\n945 18994\n9898 27700\n15466 44362\n8847 37796\n11079 14339\n39007 75526\n36133 54646\n37164 70620\n46105 95471\n13822 22391\n47663 78235\n39084 74918\n58987 77270\n53329 97061\n60327 81477\n71457 73130\n63446 81841\n14388 75047\n10658 15063\n6327 57429\n18576 30549\n20477 30583\n40308 44372\n10084 22994\n82377 92164\n13849 84182\n56927 99213\n4695 25895\n9347 17266\n75139 79439\n924 31861\n25686 64913\n7035 31989\n92664 97120\n4050 31917\n44858 91004\n49304 89522\n25080 84482\n23550 94895\n23499 73613\n8732 85251\n37177 72688\n30834 47217\n74252 85661\n43107 89336\n5823 22450\n5556 56783\n5886 48706\n28807 42502\n9706 56268\n9741 16784\n68783 99436\n14548 57316\n38123 93699\n62749 84547\n89370 91169\n6226 85622\n14529 82370\n5605 76306\n41923 95592\n15877 95868\n43799 72453\n17609 21524\n66298 76669\n9475 89156\n17609 36983\n17301 38444\n74432 92297\n8071 30019\n51242 98600\n13349 91762\n52368 63940\n80817 93987\n1867 95284\n56388 79993\n16234 83936\n57445 94942\n8106 47635\n53045 54691\n25858 60743\n53876 55010\n36827 73935\n70009 72658\n31222 86668\n59894 70870\n24181 67639\n70766 82305\n21955 86139\n52439 55125\n58257 94448\n761 78657\n34648 74860\n58683 61226\n9994 60216\n16052 33604\n19770 50428\n69545 70571\n51395 81424\n28919 71036\n985 7224\n35886 85452\n24155 51833\n3804 97940\n17734 42353\n47766 68101\n49771 87308\n84208 99284\n2333 36504\n53662 66102\n2499 14517\n5484 22237\n25328 63746\n51685 93012\n16811 65097\n57389 67625\n7696 25244\n3454 8368\n26720 75281\n12763 95843\n7037 93764\n12735 59547\n67571 89217\n15525 64084\n768 91912\n23294 68018\n25733 83949\n19633 68075\n7187 7355\n17387 48009\n33046 43306\n19962 74476\n24987 57086\n77447 94655\n15448 57415\n26962 77881\n8622 82232\n18576 46392\n21075 38688\n10182 17671\n1060 13263\n9341 57770\n7527 28551\n16504 66987\n32398 32923\n61821 86995\n15176 23017\n29967 83732\n64139 88681\n52735 76289\n59981 75430\n29309 54933\n1904 86924\n8309 26827\n58450 65456\n16571 57584\n59314 97237\n25959 96871\n7943 67586\n10274 12554\n14053 53774\n34461 59908\n28596 51448\n11456 44994\n5909 37805\n41274 94183\n28470 67925\n16365 48930\n75150 77008\n36028 60232\n26650 99934\n65291 71194\n45467 49152\n20751 44015\n78161 80600\n49341 69252\n19135 47406\n52611 95628\n18891 36490\n37605 61063\n15970 93570\n37966 95846\n18994 91068\n39776 44514\n7711 74295\n82829 89962\n78867 95848\n2527 72868\n11320 24590\n36602 88740\n3438 57839\n30813 37253\n18940 22735\n7546 28659\n28344 70320\n74620 92466\n71246 81018\n1290 20412\n11603 81370\n35055 49923\n32888 39058\n24558 99500\n34930 78080\n43994 81901\n39278 91147\n37446 99903\n36115 60662\n3193 31818\n40497 70847\n39708 51981\n27070 59238\n38824 41790\n67032 97329\n54063 79878\n43687 99283\n43477 60226\n32387 43110\n36293 47940\n94883 97916\n2495 41506\n26075 27203\n1111 90380\n13148 25896\n88325 93281\n43223 78756\n35716 60399\n49340 76106\n29399 51230\n27248 43721\n92314 99671\n46237 56091\n37132 76027\n33738 42636\n26191 42883\n45060 85063\n2118 29803\n41 74370\n67394 71248\n17386 37622\n5606 35093\n54552 59625\n11459 41481\n55505 90276\n30536 34168\n10267 32881\n35278 68110\n87206 87631\n24748 92053\n31863 47491\n4100 57182\n18692 29780\n2488 15120\n17344 80196\n44654 68965\n57640 93537\n40282 61664\n13580 43810\n36556 52648\n46137 70920\n66597 76284\n17258 75164\n18676 86811\n17837 68590\n8267 65977\n9002 93356\n12591 77498\n50179 78108\n48111 53064\n29921 78749\n30880 40653\n21196 76544\n42608 94975\n14362 28240\n6314 41967\n47628 72579\n18809 20972\n9928 26411\n51421 53996\n28029 30078\n15506 98807\n89577 91427\n42071 64628\n58519 94685\n13484 33103\n10049 52358\n44672 73390\n24213 61851\n53224 81415\n42908 49605\n10454 53710\n46264 64274\n32925 48226\n12208 72161\n8406 53182\n32828 52741\n3678 24655\n45411 66595\n37946 94721\n75390 91766\n20508 98884\n42240 89142\n3303 8026\n30497 90499\n75372 90715\n55994 67298\n35950 97133\n35262 43772\n38005 80430\n63776 69595\n6626 47709\n32373 41650\n38776 93303\n7581 8046\n50986 75568\n6195 46979\n17418 57386\n24667 67499\n39643 47388\n32375 51712\n50112 97172\n33994 54044\n8133 84214\n76943 88452\n34481 49690\n41581 45837\n13253 71257\n32487 80954\n71886 72398\n18174 41988\n45972 71370\n21607 23275\n29375 43521\n62218 95300\n53867 93179\n36880 57109\n41033 45926\n25378 33483\n24887 49710\n78952 97570\n27787 30466\n71933 85676\n19617 50835\n15950 82699\n3443 56973\n40406 50860\n2758 47020\n6156 10252\n7680 24779\n44838 59535\n979 60425\n26820 68481\n29004 63510\n31603 84581\n29349 96139\n78168 83637\n37885 41506\n25843 43049\n19883 92651\n11199 12927\n36047 99237\n19213 57852\n79822 83509\n14764 23122\n18198 39303\n35966 61360\n43600 70487\n43048 70128\n12182 70698\n9097 79283\n72683 77184\n333 11586\n13448 72590\n90781 97633\n29011 49630\n2879 60581\n181 78726\n3781 27671\n713 95402\n40538 47374\n53265 86282\n59744 88282\n10894 62011\n84104 91023\n2936 61309\n1784 46331\n39356 41207\n15181 87849\n3854 67876\n1800 35077\n47665 76126\n11069 88198\n13703 15629\n36554 70148\n37336 45800\n14420 95906\n16214 20218\n25622 58369\n1083 35428\n69953 97498\n17365 59961\n57 46626\n16298 30271\n723 13387\n14789 15789\n32521 48088\n12055 48820\n749 91246\n72358 83305\n27803 78780\n50304 86102\n43610 95754\n22375 82651\n24993 46977\n53903 61409\n7665 41786\n68626 78044\n57846 94884\n4857 95727\n71815 74547\n88314 89751\n51842 94904\n18667 85733\n86297 97379\n98017 98309\n12400 85191\n39654 51929\n38469 94284\n16113 76935\n9342 34449\n15293 58618\n10704 88550\n11730 83685\n8338 61633\n1139 88821\n35584 83517\n42899 97810\n32113 93397\n2078 59077\n15242 67800\n49414 72128\n12759 28565\n41516 81634\n22613 26992\n51844 71484\n73738 78980\n8649 24048\n2972 56191\n49521 86136\n39233 64112\n57141 87625\n14934 64669\n48597 89577\n54944 86935\n16027 21942\n5023 40628\n20377 31308\n36107 41810\n20835 58766\n12207 37564\n11113 97666\n30034 37315\n4051 43319\n13387 95312\n7973 52806\n56694 74353\n48605 63612\n52210 83432\n55393 78195\n20229 54976\n64394 93651\n41605 83891\n35329 75813\n73852 81282\n72195 81676\n429 76669\n34598 35021\n6441 7017\n2502 49737\n48336 88388\n21268 32763\n15922 29384\n9511 24036\n38293 72297\n15784 50184\n64469 99528\n39315 39952\n67759 96505\n9474 86765\n551 89281\n15293 82992\n4176 94749\n1839 22623\n27901 34777\n11740 33291\n4749 84315\n54604 57639\n29313 75905\n25642 30802\n73759 83973\n1761 46081\n50592 92114\n12017 51018\n41662 93589\n39415 71074\n68517 78397\n57502 96890\n42771 68736\n82031 88663\n33841 62317\n57925 71678\n49484 85598\n63615 99219\n10410 79106\n62822 87050\n52971 57559\n10152 96987\n2276 76342\n1660 49068\n5219 17072\n5561 30627\n65667 95433\n74362 79007\n45840 58858\n44499 44792\n19719 37519\n6786 73603\n9307 77397\n4031 12459\n11487 42527\n558 60562\n93185 96430\n40583 81056\n40209 66623\n1601 58875\n38089 99781\n4888 56192\n41698 49467\n95218 97116\n5357 8130\n1662 27542\n1727 83379\n89144 93067\n29335 78582\n30505 78029\n20498 63440\n1195 89568\n77099 92681\n41131 98665\n54379 88188\n27963 31056\n55883 80708\n35656 48889\n61440 78089\n21122 74574\n40436 78679\n4918 28331\n46801 79606\n9825 72556\n168 26939\n60848 87706\n68529 72273\n10782 67120\n76883 94507\n27891 95519\n31488 48253\n34768 98551\n4001 55290\n2478 25081\n13714 22997\n37210 38365\n18784 21694\n16212 62232\n17634 91955\n83088 97482\n55066 87090\n25052 48660\n22660 82961\n5404 95001\n24363 84026\n47155 50034\n11515 85395\n19214 59987\n30391 81658\n64103 86047\n92183 97873\n59238 78889\n45115 56675\n65239 70972\n21875 42559\n1168 77518\n19166 32781\n33436 92113\n87792 95097\n62568 99041\n3323 41135\n10294 10342\n9214 28043\n90332 96199\n15963 94053\n8078 33676\n78990 95279\n87790 88187\n18860 57761\n15326 44287\n61146 61246\n28310 29366\n57587 60138\n6318 72683\n3893 14750\n21555 33093\n70438 98068\n28972 61852\n28055 74566\n28872 53712\n25022 31432\n61821 93836\n35325 78641\n21832 68066\n30066 31567\n33733 98954\n1524 3223\n12421 95957\n69416 78789\n55815 70379\n3319 44828\n15838 71008\n12652 30935\n134 55859\n55120 80234\n39734 62056\n50897 93277\n24092 39712\n57693 89617\n10697 50907\n63157 66475\n27633 84546\n77263 92963\n56622 58786\n78276 86233\n23764 46943\n15189 22176\n61759 87398\n11147 23592\n30248 76871\n42735 48512\n67006 96692\n53667 61913\n44373 54159\n38520 85735\n14308 21486\n4047 90743\n41173 70878\n13084 93246\n87571 91885\n70705 82457\n73169 74008\n86538 98657\n32220 38800\n43012 78158\n27185 78570\n1920 93044\n47031 56705\n6341 46996\n31927 55994\n9598 37827\n42274 77256\n16510 92165\n5001 43178\n15615 68098\n3174 3679\n46994 76535\n13741 39652\n21027 77434\n29214 50042\n45585 78496\n25107 40295\n8684 62338\n11388 44359\n26049 51836\n10432 48576\n46934 88167\n4288 37613\n54274 62239\n1894 79619\n47900 59825\n50852 89339\n28803 49236\n71550 77097\n1827 92862\n53395 93782\n18075 37484\n38448 65387\n11961 52975\n65873 68984\n15733 34030\n42852 88257\n13928 25960\n8725 99939\n6036 78450\n73654 82425\n90784 96272\n39836 45082\n39363 43502\n36226 61620\n60326 62382\n12590 80857\n82354 92099\n5794 97486\n3753 32323\n68640 69941\n54751 59515\n49066 59695\n10282 96839\n40231 50950\n14896 86134\n6941 94955\n41191 81966\n25672 85735\n3640 25980\n42044 99060\n8003 78208\n35958 96305\n12974 13028\n14060 47528\n59144 63621\n34916 92877\n6977 46549\n13666 51673\n58155 85061\n33689 77493\n29473 92828\n32604 65442\n13872 83904\n40848 92154\n41786 58613\n84670 93242\n29496 95749\n13045 31578\n23896 39507\n71666 82203\n66902 77346\n19751 45376\n11425 28414\n70788 90490\n446 71334\n42962 63558\n1003 22072\n8951 84058\n33317 82898\n47325 94068\n46105 47628\n56628 89758\n27211 31143\n88498 93993\n29135 70681\n18489 54746\n749 49726\n80675 85869\n14558 57596\n40196 94875\n15527 68128\n18424 72220\n55518 69244\n42274 47152\n17175 59300\n11960 41803\n45964 54811\n23624 33848\n473 90699\n11955 75140\n46438 63578\n24237 50653\n43438 76493\n3168 85221\n13776 38234\n42622 98252\n57018 87668\n2141 53301\n12039 21853\n51827 77961\n43892 48138\n78313 92739\n52717 65915\n27626 66011\n6982 17072\n22592 45350\n49219 74833\n20519 84796\n8969 98840\n8327 29534\n4501 50690\n23029 34484\n88653 97886\n4685 65202\n4489 92012\n4710 41209\n44550 58687\n26336 87246\n25347 41728\n20256 86279\n34063 89224\n9316 93835\n79458 90816\n58786 89834\n7 69824\n2075 32641\n36753 59451\n4649 22997\n76416 83125\n80297 80432\n53134 79946\n30013 78165\n40323 53554\n20783 98616\n23420 81744\n50395 99969\n50696 85122\n24362 86308\n23008 81014\n43960 75689\n580 42047\n8800 49614\n39266 77944\n12531 47061\n8608 26557\n45329 50289\n34965 76749\n2829 86024\n57958 86259\n33861 51602\n37398 65272\n45057 50483\n37021 66722\n30668 98446\n47469 99392\n25623 80858\n37251 94592\n39881 51950\n41997 66376\n54112 69554\n1023 60038\n86119 99571\n34263 79570\n53018 58508\n26633 66835\n33807 91739\n59 12339\n7584 50943\n48926 60671\n56707 78329\n16945 79571\n8862 33830\n51291 81617\n799 96108\n8894 96190\n52374 88094\n25002 99151\n24212 65913\n25443 91636\n31951 51522\n15439 45425\n39755 67082\n5265 74860\n82678 95406\n13507 86949\n8597 97864\n3984 79463\n14984 34831\n32923 69297\n66075 79068\n15602 25459\n54830 78658\n29836 97257\n54757 69498\n25377 54302\n11230 91691\n84006 88132\n74821 79427\n74890 98006\n14960 98673\n71167 76745\n671 89823\n55936 84435\n56667 64442\n33329 50092\n3832 64559\n13301 90955\n9472 39373\n5191 8863\n47647 49561\n64352 94512\n23883 98566\n11358 63468\n3566 47127\n52964 71236\n32226 53040\n14749 54225\n3662 74411\n19718 78937\n159 85541\n62766 80097\n67196 99889\n63849 70031\n22354 88880\n66288 87326\n36632 41660\n56641 82834\n45519 71495\n16087 31073\n29797 57605\n46956 86030\n33992 59276\n45036 84069\n28858 84133\n41051 98783\n14066 93186\n54996 80959\n28746 74557\n45748 82183\n21574 59012\n43360 98222\n49431 53558\n9104 17180\n29884 82678\n29891 48690\n44075 99123\n76905 78982\n50479 82603\n15201 68327\n1732 80449\n71061 81534\n7340 59283\n11808 23226\n7398 51068\n4455 54366\n76011 80429\n97861 99566\n19148 34536\n10170 67507\n75692 99816\n13692 54531\n321 80409\n2869 67747\n41766 42339\n1436 82122\n46793 76758\n36173 54072\n60112 97865\n8920 70629\n9415 78906\n4020 19478\n17035 72228\n42237 92364\n47357 52636\n26152 57641\n93735 98555\n38674 83455\n18762 71609\n2693 46426\n52225 63803\n64920 96008\n55982 79591\n17359 43793\n3029 15306\n42313 65323\n10301 40984\n67859 74936\n69881 82820\n59179 91399\n25122 82853\n19073 71159\n11628 23045\n45712 67674\n12127 94367\n58654 70267\n4371 24319\n76248 80621\n51948 79797\n3354 45217\n39704 85403\n2361 94007\n33687 65797\n25605 39128\n27028 78497\n19497 32676\n23837 68364\n32540 64508\n14284 99596\n4646 68256\n8933 35213\n15085 46949\n8366 10320\n32644 60924\n57422 74864\n15385 54318\n36978 76860\n13900 30681\n4659 96319\n75617 91242\n58823 86831\n8863 49309\n10952 63818\n54993 90326\n57204 73939\n1406 83090\n49269 53651\n43252 80800\n20091 70784\n6130 66646\n29576 56568\n5084 64979\n34341 46088\n46352 57707\n9895 19907\n71738 82264\n61611 98148\n6264 57894\n17934 52045\n19554 65535\n51533 62699\n9365 74095\n42449 55718\n19511 73369\n45700 85720\n515 58664\n39905 97333\n55295 87639\n15509 59571\n42056 79603\n54820 73001\n10782 11335\n25355 71013\n6824 66382\n29390 80423\n31412 61432\n25469 28689\n19710 49163\n949 51606\n31873 52578\n18046 67668\n15454 28850\n7008 70855\n10245 20728\n22817 28732\n4363 16335\n24794 75632\n559 25737\n70302 80978\n5916 46702\n24755 45066\n53519 57271\n13129 67080\n55505 99447\n27024 64089\n11365 95110\n57969 65056\n24527 51846\n30062 35012\n23881 65933\n20490 56707\n3649 45428\n25149 65450\n5147 90086\n57986 77525\n21922 21974\n21096 65470\n11155 39967\n19173 46580\n6612 49511\n36271 62388\n6575 91621\n11640 71697\n36470 47149\n33102 45481\n51687 97047\n61154 82085\n87291 88013\n2067 97188\n47445 51102\n74528 78922\n73312 78461\n20285 82042\n62448 95000\n36709 67304\n26726 92649\n89638 91740\n29150 93497\n17294 54439\n79228 82510\n20243 99396\n19568 97622\n48301 49725\n58907 82767\n20361 55764\n25161 88279\n23383 51723\n34405 44247\n34995 48657\n20426 79654\n44496 63544\n17846 37967\n65899 90195\n81027 82641\n17206 46380\n58186 89196\n41679 98115\n34975 74842\n63954 88528\n65296 78574\n33868 46829\n7573 71578\n3660 78983\n23378 57622\n61749 83393\n8985 76028\n4437 19451\n46581 67684\n63188 96306\n2148 12230\n43036 47604\n3052 83855\n21707 99086\n6741 41029\n28818 88251\n10213 71667\n25020 87048\n42900 68440\n57226 81998\n51435 86679\n46266 52822\n28331 48741\n96587 97472\n10752 29712\n80684 96779\n22455 56431\n43560 68645\n22411 40843\n51221 97063\n70559 96767\n71254 92205\n60557 74828\n15879 65382\n25046 38099\n28980 33502\n33708 85450\n51769 70610\n71649 73513\n2848 18774\n49470 63221\n89646 96456\n11374 56199\n38748 66770\n57455 83485\n17982 79217\n28028 50801\n49209 67105\n58597 64456\n55890 70381\n30155 91648\n9722 54387\n53498 97976\n1988 16709\n72715 79962\n17291 45450\n77688 81993\n13367 34202\n60861 95447\n38894 77900\n45892 62313\n12242 68052\n31757 76105\n26396 92489\n56681 98180\n51708 74016\n64200 78560\n72818 94408\n17671 19463\n17517 96524\n33296 40690\n876 30676\n59246 73002\n65345 87589\n55493 97828\n49447 73639\n34101 84943\n33422 53428\n51770 99736\n66830 97873\n57422 90886\n5448 77960\n84798 86024\n18879 21635\n1115 73895\n11972 15856\n1302 56309\n74969 95709\n33879 83356\n55555 58299\n55664 93962\n16899 39729\n60127 72643\n61965 88304\n30476 95801\n14225 76733\n1103 92199\n5239 33077\n20222 58710\n15998 89937\n30472 97572\n9524 54068\n27150 30977\n11382 99156\n16664 67887\n4848 42252\n59513 88381\n97478 97759\n24872 76685\n19218 97466\n60710 96851\n5319 80199\n12820 14710\n24216 56243\n47368 49115\n82126 84093\n46176 88542\n60444 86005\n41074 63197\n53960 66023\n26367 81417\n14631 23403\n35030 98976\n31683 37143\n18011 40221\n46445 88093\n59583 70134\n37544 49938\n1409 81222\n28966 29071\n12283 74506\n33562 78562\n74637 79706\n30526 91036\n958 51214\n78288 82148\n67286 95694\n14810 58437\n24658 84071\n28892 97099\n17473 80647\n66670 73949\n19831 60436\n27615 30334\n36138 66837\n8142 60669\n18865 22979\n31346 36043\n94400 96480\n52250 74918\n46863 58972\n6537 69138\n4040 15009\n996 71065\n18340 44984\n62044 78786\n52524 83763\n5694 92797\n42093 51093\n44276 87098\n91456 92100\n39961 89513\n3287 60858\n32660 97260\n2867 13158\n3745 24870\n4341 63706\n19065 23770\n25337 82806\n14842 68914\n63058 69361\n16455 36380\n4821 85252\n61019 99704\n26119 34817\n69502 71092\n10365 11058\n52191 67359\n18940 37841\n52189 90321\n72465 99917\n13019 75149\n27767 66989\n9695 44287\n49354 68299\n17715 54682\n24753 97754\n21775 55611\n86075 88698\n25627 64689\n2093 59002\n4925 37008\n38778 60966\n36418 72741\n8692 42642\n917 24983\n17130 77483\n9423 69605\n814 46010\n18576 71685\n72601 98508\n35639 98079\n39151 96393\n41473 64347\n20671 22860\n45227 99448\n34824 47591\n50911 93164\n19247 89405\n7000 42742\n23642 56103\n17724 94940\n6410 73052\n8284 74253\n13558 66289\n4644 96727\n30942 66367\n55379 85835\n11704 47841\n22650 99923\n35386 44900\n76905 84167\n20583 50225\n13045 35630\n1500 16823\n64613 73006\n12011 28783\n17450 68782\n18659 30804\n19263 35557\n54325 72209\n11470 87573\n711 45633\n17284 93547\n20268 39530\n3669 5264\n56372 83344\n74895 75914\n20288 35499\n70162 88127\n52495 61890\n20425 58070\n13056 15390\n34163 52173\n53848 90539\n17728 34900\n37133 60906\n53390 78196\n12267 57908\n15326 46885\n27260 88054\n57300 75190\n8460 34091\n33201 93499\n510 92630\n73618 86397\n33495 43646\n1488 33322\n25593 62428\n7159 92906\n51981 88232\n87653 95695\n8243 95454\n14976 94060\n4658 28293\n16250 66528\n55074 72334\n25759 96443\n12291 38204\n7028 94551\n42661 89571\n608 62074\n81107 86783\n22449 87243\n54909 91248\n52201 80957\n54337 65119\n85616 97076\n36 22233\n15089 34696\n52114 89695\n57485 77497\n35562 74080\n41320 59154\n67753 92217\n61472 93609\n47074 80866\n28681 31238\n33873 95091\n50336 98295\n52475 52628\n29080 96223\n25481 75289\n13220 41349\n76892 91580\n45633 70114\n35561 35646\n13266 62412\n6360 93991\n46539 92324\n4995 21155\n19928 20590\n5857 69273\n12825 21376\n519 95170\n78938 92942\n44913 87307\n71488 72951\n50131 62098\n80447 91164\n51413 88223\n38685 99380\n63843 76761\n24833 99065\n90099 97801\n20232 36446\n59229 60910\n57503 58296\n69217 95500\n18167 99288\n37385 94481\n50846 81456\n141 77473\n51960 90042\n18802 70005\n45362 66611\n60827 94066\n30525 80994\n8787 41837\n30172 93605\n53462 53548\n29102 38626\n17593 76647\n4810 71494\n70444 98594\n17662 41858\n52869 63849\n17724 22477\n71704 77572\n55363 86411\n83641 86680\n13003 45850\n3097 76397\n67747 94535\n15608 56699\n14606 66747\n35008 52187\n35889 41625\n46137 97000\n24818 40319\n18741 89254\n11491 85217\n25659 35279\n27258 33912\n15217 64424\n38884 54826\n51732 88660\n50024 96732\n8537 44730\n5597 89116\n36623 66785\n40742 52328\n43169 68093\n60105 83900\n27182 46039\n15748 81648\n33363 79460\n36465 74115\n24520 32568\n14518 58599\n11718 38433\n11569 22664\n2725 89682\n50126 51036\n11417 76663\n57504 70999\n19723 25090\n13203 70193\n22605 95523\n26416 77762\n1350 61391\n40660 42435\n26276 63878\n25843 60150\n42592 70618\n55801 68129\n24557 83668\n3518 56366\n20943 96542\n24787 67785\n8467 59771\n9291 35943\n26102 61746\n16219 61138\n46850 66637\n59786 78757\n29198 77285\n12794 93100\n11473 18960\n85147 88715\n8738 88105\n37816 75786\n5326 81073\n5656 58552\n68299 71232\n48686 72063\n25271 89308\n52563 81059\n35024 84988\n4129 32389\n3380 22815\n35713 64282\n2094 97316\n96540 98952\n27089 74974\n2600 85795\n26064 64909\n15218 35008\n55714 64664\n10468 95080\n24265 59586\n9637 33342\n94619 98219\n38683 76491\n1394 55947\n6016 65073\n29478 52827\n45746 76715\n55669 74943\n15871 28355\n22397 95947\n36961 81266\n21969 78027\n24338 91051\n34171 43089\n11380 72589\n49232 75943\n72264 91728\n27236 30152\n68395 96098\n27083 59209\n11966 25785\n52555 77627\n23173 69302\n21776 24827\n67850 78065\n26267 34699\n48165 85043\n8410 87696\n43002 82535\n82532 86740\n16825 81736\n73472 85111\n34370 38304\n23937 90644\n88067 99936\n93741 94584\n40962 53765\n44682 91469\n8771 77869\n9819 95360\n28326 73567\n9372 83227\n36969 38386\n70643 94218\n22510 87364\n52314 63356\n16601 65803\n29574 53223\n6622 10664\n33028 69443\n29926 55486\n1452 35279\n66964 87548\n24203 25724\n33085 60633\n26473 89070\n22705 60777\n9546 89512\n11569 53750\n33930 64104\n49241 89666\n55768 79122\n22224 27992\n39204 97763\n7871 84996\n8927 53237\n11028 34282\n22145 51077\n28265 96790\n39522 84299\n29023 40684\n5294 50490\n39207 48870\n63080 88426\n37720 98125\n2936 54079\n65804 91467\n81479 95215\n11488 45890\n27164 87317\n8266 48842\n65009 73318\n20336 38163\n17049 40728\n21463 55422\n9641 12109\n19256 35141\n30171 80404\n35049 81408\n24434 84236\n3036 56283\n22678 73880\n61210 80535\n27803 46381\n15737 72165\n5522 97603\n16633 52952\n1247 6139\n72887 75319\n44465 94493\n11858 28979\n42876 99025\n51718 65522\n9491 79455\n11690 69030\n6769 53896\n46176 82533\n18307 92870\n486 80996\n4465 90182\n40824 60948\n83516 88832\n49068 64568\n71850 90572\n23670 46407\n17557 87527\n18777 75663\n46214 77326\n511 59288\n4145 90615\n54035 76822\n25266 58835\n26694 86177\n4414 32612\n8708 60267\n10546 94115\n43364 73768\n59086 77571\n28913 92894\n20693 61206\n14807 45032\n53338 98456\n48239 83297\n73697 93287\n29330 99777\n9548 82389\n39730 51721\n61937 65974\n33408 70830\n30068 47658\n5006 35863\n6038 26353\n12777 16643\n10894 20788\n4955 38840\n90687 91379\n56360 82949\n19621 23953\n73922 95910\n88036 99234\n44343 66287\n19833 43959\n21835 98507\n49053 97451\n22057 94232\n37896 56553\n12438 88435\n10164 34278\n71421 89791\n12218 95587\n15100 69811\n24780 29319\n10812 95213\n62157 82933\n45922 65198\n92458 93406\n12850 29140\n1420 20493\n31199 63874\n18340 79290\n20812 60739\n14424 44357\n73121 84385\n4579 22677\n13223 84830\n19196 32967\n30677 98936\n6093 80489\n39101 97232\n47878 74803\n40772 74162\n4103 83084\n11772 97673\n75163 97371\n62232 80219\n93076 93687\n1309 25691\n4091 23242\n41472 72686\n58258 67755\n19228 64811\n9671 60653\n24200 39760\n8150 51924\n37124 89340\n76017 79266\n68376 70788\n66943 90280\n21333 46706\n6778 89211\n66496 98497\n46083 61281\n26941 35611\n1978 81221\n35223 72037\n70790 94407\n11148 12783\n50169 60574\n16677 73764\n50199 54352\n32999 97043\n13090 60943\n19085 87081\n36580 98347\n40538 50241\n20329 52102\n38546 39967\n12847 65623\n5971 31431\n75422 96338\n45319 47859\n57964 99880\n30380 88845\n18534 72613\n10764 83956\n34334 97745\n10915 38115\n6272 40996\n88283 88399\n4391 36621\n32202 98657\n52379 53609\n53272 76384\n12183 16994\n18334 51201\n53378 69669\n9265 67574\n27907 52665\n16265 21342\n72786 88237\n28076 50224\n13105 14541\n21181 34844\n58841 61621\n16712 91540\n19835 37729\n13861 95636\n62121 67381\n69447 71295\n20054 46454\n54773 55684\n64620 93099\n62350 96854\n51978 68644\n39895 60619\n60887 79644\n11941 48447\n32062 46969\n22914 86267\n30672 62284\n56642 86828\n6152 49191\n11701 79551\n74425 84340\n96138 98136\n55320 83760\n25977 73570\n41034 48922\n2247 79899\n82437 83901\n13018 35382\n39890 97810\n17856 59870\n39080 70673\n2146 40251\n22271 64461\n6487 58278\n3727 78459\n4126 28728\n84382 98771\n25196 96323\n31946 62674\n41197 88062\n22367 91849\n80100 93901\n35144 41089\n36336 84216\n20746 53049\n26345 74223\n50758 80218\n26835 67743\n3796 57047\n22191 60575\n5179 93540\n24852 48028\n61237 72897\n35756 48431\n63256 74605\n34603 58288\n23363 96931\n35056 70672\n64311 98376\n24166 80961\n7077 94757\n10755 51158\n53517 75543\n2790 57683\n40103 72541\n12115 51045\n26036 82982\n18730 26165\n14991 37629\n6323 51122\n35098 78178\n58592 60870\n17117 58696\n25657 54396\n60874 99413\n80362 88969\n7910 68550\n20141 29546\n22339 67526\n6349 95348\n58776 83516\n29087 39847\n70123 99492\n4934 83071\n72129 73645\n14893 94690\n77336 82201\n72562 78135\n79287 93430\n43196 75313\n18863 23255\n48735 77115\n45981 48021\n55047 78640\n30240 33198\n6894 34277\n41894 52878\n28748 43508\n50541 80832\n64105 78983\n30785 55034\n8260 61157\n11308 44672\n26302 36780\n75924 77050\n23793 32417\n30528 36294\n11296 84268\n20950 36133\n733 39997\n72760 75661\n25383 78579\n36060 65945\n30487 55994\n27222 40428\n13402 93775\n75990 84356\n19065 80134\n58951 74535\n34375 72558\n10634 74071\n33332 89543\n32100 86733\n5264 6148\n35109 96990\n63117 65406\n13907 49577\n35346 78081\n52401 66923\n36704 55454\n71602 73028\n6154 94137\n19963 62518\n16248 72941\n4012 55364\n69261 77182\n42369 61000\n68019 95971\n75711 92372\n21388 56484\n56081 93612\n59795 77398\n42069 60366\n1709 77082\n51478 90455\n1538 66698\n46317 92205\n53349 99900\n3058 33450\n3226 76969\n4288 15615\n2124 21812\n10747 78424\n6070 57278\n67224 82657\n1565 94711\n43712 83564\n35555 66146\n19863 52573\n17339 60443\n8348 78008\n23978 67688\n15094 52363\n49369 97709\n83717 86827\n34844 98755\n77489 99190\n35110 59527\n38986 54345\n44982 80018\n45958 48359\n19685 47311\n37163 88908\n32292 87523\n1231 74309\n18626 91063\n7734 99600\n2124 37266\n4116 44204\n24770 58178\n22241 51128\n32224 47232\n54957 74952\n29527 94303\n41527 55413\n15425 96436\n19180 79878\n45045 53798\n36265 97666\n11369 83494\n7173 11614\n67258 91088\n13516 35940\n13390 70231\n44306 74365\n31583 56483\n16129 71136\n83109 96890\n32608 68060\n6458 67866\n62893 83008\n66599 80327\n32502 78677\n40816 46452\n6132 94965\n78594 85181\n25705 35258\n16290 21775\n13227 60972\n60156 73093\n35843 99622\n29739 66199\n58256 67464\n55313 93667\n39840 57224\n20838 65688\n64375 82406\n6176 64438\n73931 94486\n79455 86366\n5835 80264\n28587 73835\n44915 55185\n17263 34703\n15208 59209\n44941 90688\n35 3026\n33163 51543\n7281 36380\n17688 43750\n13511 35163\n15869 65363\n24317 71349\n39447 41816\n13387 63573\n51358 81420\n58350 62562\n30862 49882\n15890 43918\n71085 85945\n27004 34543\n57557 57909\n40666 87102\n3110 71710\n54357 99693\n12037 16560\n32126 44986\n24765 73585\n43910 74628\n27951 83207\n50164 93051\n21666 25388\n75210 94577\n38844 96675\n81423 95366\n41718 87637\n49450 91653\n44733 73328\n17396 19427\n49921 71948\n24304 58236\n52833 94019\n49718 73373\n4374 91136\n45718 64547\n18290 48152\n4390 26778\n38835 62259\n25853 86858\n36381 54742\n27934 87777\n47369 80491\n19304 59554\n2070 30722\n785 37634\n41959 95941\n19666 82356\n31606 73473\n31952 59489\n13064 99694\n31635 86731\n1406 25647\n74238 95511\n37649 38343\n72642 81752\n8581 33128\n71150 72933\n75004 88347\n71407 86773\n26716 61848\n60886 72477\n44714 70370\n37645 80378\n10314 63429\n68353 71576\n42353 91701\n56770 64438\n50601 75319\n12084 17139\n54940 58490\n2251 95889\n40519 77295\n70023 95361\n28535 89823\n51938 98531\n32104 92946\n34585 70252\n12208 71405\n17270 49365\n28328 62216\n63865 95121\n10671 76596\n17280 50540\n82889 87279\n39909 45538\n70035 78847\n10968 27930\n39390 88927\n71689 93476\n4431 31929\n36575 67996\n8810 68438\n63663 95438\n31471 53638\n7013 67279\n80148 90366\n22484 97415\n7515 23488\n69196 85758\n11946 42262\n42582 66585\n7660 48147\n16864 21527\n12565 39021\n28 47090\n26503 27905\n62141 67567\n54714 93370\n29012 51177\n14158 68910\n22680 48506\n3145 24256\n24026 41751\n18324 51983\n46042 54044\n32171 99336\n19563 31040\n75248 79136\n5718 94520\n44182 56895\n804 17277\n20088 71550\n26353 90073\n33207 58186\n28947 99621\n48198 71139\n12011 46912\n57416 80827\n49098 99316\n68491 91030\n36251 63604\n51528 68306\n406 57525\n37995 95558\n58408 84793\n4941 7616\n41056 94856\n4032 32538\n17875 59506\n25481 97290\n7186 91595\n51818 79795\n35842 58261\n53756 61962\n34115 50946\n23071 52752\n55792 84002\n52292 84190\n12667 74026\n26984 78171\n352 99246\n25734 74884\n82489 96123\n43959 67699\n12993 53120\n80339 89226\n48286 55169\n3214 11859\n12996 74273\n75067 85115\n69598 71545\n21247 64127\n32855 67381\n83092 86385\n51049 84811\n36789 95775\n9747 49885\n22498 45525\n18153 60371\n22693 37089\n5103 71364\n35215 70971\n50896 87899\n12326 45454\n62751 79540\n43257 81925\n43450 89223\n65456 68066\n28358 59303\n76279 96654\n6739 31798\n44990 80755\n78562 80478\n46649 79357\n20365 71604\n40728 80567\n63949 82633\n59111 89744\n10976 45054\n24704 35424\n22679 52731\n478 94342\n35043 92644\n48376 98061\n45211 83957\n15850 33030\n58256 87029\n22680 68138\n8419 30501\n18033 38616\n20872 54849\n204 16111\n41288 50123\n28380 31535\n77542 93510\n51629 91727\n28558 74342\n13015 27814\n38420 83790\n39562 70515\n54117 67755\n24562 66068\n51032 66895\n15284 64400\n4705 53096\n81286 93314\n7416 51598\n46942 81307\n72988 92896\n10797 87430\n72637 96668\n40456 94563\n44855 77573\n32956 36364\n5994 41412\n53391 60529\n47446 62147\n69252 70707\n26163 95726\n29988 86521\n16336 54959\n62071 90779\n27299 30374\n25835 47070\n13122 20811\n41128 75970\n3586 37437\n61826 91769\n54263 66634\n3808 29349\n492 14619\n79938 80323\n81575 91123\n1145 97734\n8051 56264\n37552 41071\n51657 85702\n78180 80907\n12293 36947\n11082 29298\n75807 76068\n23476 48320\n18551 99513\n51846 65571\n23871 73979\n29521 72054\n34979 92126\n53155 96892\n32336 91366\n551 78975\n13462 68054\n9196 84337\n18627 36604\n1097 92192\n69227 71491\n52297 77531\n14082 38022\n11834 78262\n10586 94669\n14229 33246\n33820 91237\n30644 49130\n21206 74701\n18373 40544\n50412 61177\n23236 39802\n31555 50902\n1378 83443\n93117 94614\n23419 71556\n71051 93640\n40481 62035\n51533 96386\n2937 30986\n50639 77169\n54942 90264\n11457 75244\n29903 70052\n64989 79662\n8933 37131\n36486 59378\n7291 31915\n36215 42412\n5257 93721\n56055 71159\n20203 32339\n32661 32954\n85592 99843\n950 35507\n848 61108\n44128 89415\n29754 71669\n43325 50583\n37607 80466\n31279 83389\n44187 61709\n21403 37003\n29738 55556\n19880 25547\n35610 86062\n27475 30257\n82909 86061\n1154 37796\n48347 88012\n56836 86990\n42237 52372\n7546 62161\n38582 38940\n19553 98934\n18636 33623\n41117 56255\n6978 7263\n22789 28129\n15522 53520\n73230 82618\n37230 48523\n81286 98225\n42245 81069\n64275 95491\n18185 82839\n2592 45130\n2479 99565\n69743 82708\n80552 98424\n9099 10962\n63638 94536\n16902 43290\n10036 45950\n9092 66713\n5285 74992\n64631 71106\n45667 69771\n18601 39842\n30895 63467\n4406 82965\n11476 40542\n40342 82000\n66587 84834\n39853 48772\n44500 61246\n8747 60169\n63150 83579\n40243 62767\n73465 98745\n60239 95045\n18963 19026\n30084 45074\n25104 56413\n26124 34717\n11680 60194\n27421 36740\n18582 80082\n21027 74285\n82537 87078\n74574 82467\n17568 87694\n78030 86800\n4986 86070\n2157 34666\n29712 92360\n75503 88849\n2427 59829\n7160 68984\n36065 50732\n43692 50698\n9200 62098\n69465 92694\n1223 53349\n75166 78952\n52844 88783\n23031 50363\n9789 79868\n28899 45255\n44696 48898\n42713 62146\n65383 71936\n45513 95513\n52724 66370\n7958 51413\n11885 53644\n21419 93964\n21643 36067\n5755 89311\n23121 56212\n8901 95659\n89974 96456\n16776 48385\n2599 89832\n49284 67578\n15751 94216\n57831 65812\n56562 97657\n15481 52541\n33431 73605\n53377 98683\n34032 96910\n53555 74813\n29257 67086\n35723 99389\n35127 85868\n10428 72173\n77661 95140\n22905 78039\n17793 45754\n40906 41469\n52256 78940\n70814 82193\n18682 80366\n13348 97313\n1282 18174\n25081 48856\n51182 69142\n71440 75999\n39754 69891\n5660 75393\n8725 51361\n63063 93574\n26069 77150\n65095 80165\n73728 95241\n43235 85287\n34807 35414\n30591 74968\n33211 98370\n62691 86116\n59076 86693\n14469 92785\n13498 14246\n32539 47903\n881 86115\n54573 65780\n32480 44687\n3980 14641\n15639 64042\n52129 78848\n43458 60620\n60985 74910\n38943 80582\n53339 63115\n18123 78285\n28294 49056\n56860 86371\n79497 92304\n10900 58841\n10523 34552\n21269 89184\n35138 81407\n76567 84176\n78850 91205\n7585 24354\n29080 70447\n24579 39610\n5474 45290\n76425 83162\n22608 43754\n37972 74726\n72191 95997\n62234 83229\n38707 77296\n55483 90470\n52449 61750\n24678 32983\n2609 28061\n8584 47267\n38372 49725\n22916 34874\n61296 78558\n9569 92211\n1571 32654\n44760 50657\n2623 4918\n13025 75562\n69918 91801\n84748 85810\n6312 73470\n12317 35256\n34854 70282\n27202 59096\n9352 84636\n53538 88668\n28067 49795\n43653 59274\n23100 63949\n34243 84161\n9256 34551\n37749 63385\n12652 92923\n11274 84838\n43541 63223\n10202 40572\n19532 93495\n81202 93876\n1581 79708\n30016 78300\n61715 88001\n33774 97009\n40280 58215\n48223 63597\n50808 66007\n30753 50717\n26876 61078\n64020 80410\n57952 90205\n46377 54696\n71574 81357\n55970 63937\n40678 41542\n46134 82744\n6561 48859\n27155 93210\n8062 96111\n2659 63848\n11570 40205\n39822 54475\n28192 34413\n65005 86882\n41835 96822\n11605 47851\n13886 37639\n16030 32600\n76319 90587\n59566 77854\n9243 50197\n79957 95852\n17812 99553\n56630 84850\n84130 87492\n75456 76867\n776 5369\n8806 81915\n15425 38215\n38490 57294\n79056 97516\n82877 88704\n4762 61803\n33246 44773\n5590 71225\n49316 97458\n540 66682\n6927 97542\n34334 52502\n5084 43536\n21217 76906\n12294 69823\n25147 87803\n33703 34208\n10582 71705\n8864 77457\n14807 94090\n44406 62690\n13551 57037\n20443 89745\n66297 88892\n38239 42870\n11065 18473\n64170 68125\n17149 52259\n4500 26896\n40602 61818\n9867 78527\n9938 23316\n31643 60081\n39037 52264\n63220 94256\n14940 87540\n42635 96987\n38321 46393\n18127 35047\n12896 43141\n76933 88418\n26732 82485\n45723 93586\n11728 93229\n13293 92741\n41203 96317\n55214 96834\n22482 62377\n19533 70312\n48410 75755\n4497 17348\n20402 54462\n17545 57166\n39271 41569\n13284 20141\n23477 70673\n35349 61867\n87085 96705\n4408 43267\n40560 95824\n18479 32814\n37266 86633\n55957 89676\n9801 66679\n33805 97837\n29173 74091\n90364 95055\n45596 75114\n7882 58799\n55822 70081\n37300 59399\n6918 14985\n4907 84847\n55080 68546\n55033 61404\n40382 85259\n76675 95091\n3079 91421\n69613 94491\n46281 89060\n22381 28191\n76716 96880\n12885 30606\n38061 45108\n32094 43699\n75811 97457\n46948 68559\n9675 73492\n5488 24609\n49573 82099\n13355 22065\n17432 81906\n21495 63918\n43199 69453\n1453 15080\n5763 48636\n50547 55931\n33333 59649\n8301 68975\n29257 82849\n14878 91782\n6205 89071\n62535 65539\n15913 19351\n59163 75581\n68679 76608\n21749 72950\n64679 93788\n12455 18395\n57234 72283\n15797 70787\n30809 81470\n17686 72189\n4720 10280\n11330 81531\n48242 91307\n46809 92458\n1427 7785\n2204 39016\n34668 50337\n78587 98049\n44575 95295\n46991 94617\n56283 88370\n66925 80168\n66727 93470\n39802 92445\n24624 72123\n26515 40900\n21675 99392\n6391 92633\n8045 86819\n7603 81905\n143 42411\n61845 89272\n44029 62791\n1294 85790\n55068 77420\n18178 97162\n4395 64708\n18241 30208\n49983 72524\n3036 76201\n44776 79029\n2074 45084\n4987 42240\n61577 76187\n4087 56330\n4505 84725\n24029 93276\n23476 81834\n7978 8467\n8553 83788\n3988 23408\n24320 69463\n95583 97531\n914 33951\n53690 84481\n24384 34284\n16490 30814\n13994 89871\n63138 81274\n35055 54268\n26154 95990\n19669 37657\n38294 40923\n77906 97368\n33160 90878\n33425 40017\n3749 37168\n42538 52507\n1911 13950\n36977 76802\n78143 86896\n24228 57420\n63689 69735\n43790 45140\n47757 76245\n6229 99321\n25087 34437\n999 43946\n6921 32493\n22853 52315\n31162 32473\n9853 72614\n31427 50972\n46869 58195\n29784 52421\n3096 30656\n43290 97487\n39912 73759\n65221 68288\n56586 99135\n11145 42536\n55900 90812\n8451 56127\n16601 74220\n78698 87484\n79370 97050\n31115 65826\n25549 93796\n32442 67737\n5614 42845\n36234 59101\n43688 91823\n11335 59048\n3022 5155\n33104 39591\n10283 54122\n2147 27839\n8889 71853\n79294 94752\n25956 45663\n879 26292\n5130 69783\n18695 90572\n36336 57467\n24206 35778\n4116 32864\n19332 71354\n42514 72057\n4185 20582\n54609 63875\n91518 96932\n34391 61696\n23930 82074\n41702 47532\n33689 56750\n31463 94773\n26139 40075\n77496 94892\n8765 81348\n13643 16118\n39566 65671\n15201 87312\n13805 43330\n60491 97779\n35602 74870\n20256 44802\n32586 63527\n35039 94326\n5270 53186\n58948 76493\n2776 48007\n17509 38921\n7947 78625\n10576 42604\n73709 91198\n8198 64675\n17273 56754\n35702 97795\n38423 86281\n7249 81818\n23537 23863\n59936 60207\n51039 91666\n49347 49826\n19800 75463\n6626 6744\n5529 71417\n23586 64365\n62534 89164\n14407 68884\n12740 48579\n50433 77428\n31964 39085\n24542 98414\n10636 17438\n55033 76401\n28610 81902\n42699 84225\n17217 58066\n95642 98735\n27752 32880\n37060 88241\n23783 86982\n3138 32641\n494 97818\n67835 79549\n34157 91163\n9707 66770\n19674 51441\n68784 75194\n25875 29253\n28710 53592\n80838 85884\n93624 95949\n34800 64940\n5265 9890\n45273 61832\n2864 15130\n51098 63885\n42859 70630\n19076 47634\n42801 93254\n73959 98675\n44201 56131\n18543 30846\n2670 38508\n56982 64264\n12804 69284\n359 27251\n63881 76055\n3835 73360\n31728 35618\n19828 80271\n28502 68134\n59569 65015\n46623 93383\n8883 15916\n19714 51087\n2386 91015\n53206 62206\n10300 76603\n34221 56225\n11058 17749\n68150 88603\n87039 93321\n67618 94406\n32679 37357\n75 97810\n6887 30986\n48714 96575\n36127 75747\n5075 19110\n46709 74201\n28127 62495\n19180 53149\n21933 89115\n79318 93736\n11031 84470\n47164 57643\n22808 29040\n62331 82436\n37622 98055\n23087 47665\n868 39825\n53330 85924\n10709 39758\n39102 80529\n39042 60160\n28949 56952\n6616 38244\n7817 14025\n8614 60371\n9936 47741\n50443 85502\n61187 69953\n16400 32306\n8000 11822\n7558 79636\n4550 56447\n1701 35368\n38654 49740\n13797 37332\n40817 50973\n18794 86855\n21745 59192\n10063 84598\n49554 57154\n35228 41246\n13151 56465\n72505 82100\n150 77561\n24222 27618\n45505 48064\n35440 79886\n82406 99850\n20619 49009\n15286 62292\n74824 81666\n26096 85272\n28470 30267\n1520 83363\n34852 98174\n662 42036\n65340 96859\n45502 96769\n48087 89170\n44885 66724\n48442 96436\n14710 64761\n47971 49838\n10379 74349\n55179 85865\n7408 60832\n6183 92416\n1123 66004\n10081 56027\n15242 52210\n78370 89081\n57666 87085\n24048 91381\n12127 87818\n32155 52747\n13527 55349\n7238 35050\n47721 56734\n42962 88753\n25809 75539\n46951 59906\n29488 89711\n6555 27268\n19164 57321\n11318 48837\n12205 87140\n84424 86272\n5617 72542\n23772 65344\n36777 45812\n56819 79825\n30526 55454\n22663 99159\n21054 32409\n75432 95009\n80343 85294\n22747 86889\n63903 98499\n29099 75854\n16731 62838\n12778 51312\n48446 71868\n20475 76422\n13862 52115\n44308 60910\n58824 91514\n9399 87414\n76466 81978\n19166 88738\n96270 98791\n33639 78313\n70775 82661\n27356 31674\n26633 88556\n5608 87492\n11475 61181\n57443 60165\n4332 17766\n20621 75209\n70263 78902\n32493 61347\n35562 69379\n46156 96946\n9425 22622\n41747 79290\n76348 90205\n25409 50951\n51576 62098\n66295 81730\n26044 36605\n18841 70537\n19127 25784\n22765 82486\n13763 45363\n42156 64916\n4505 12880\n63966 89884\n3965 64958\n36282 44148\n75630 97544\n78053 87013\n4019 7905\n8472 33221\n21652 28195\n7694 8530\n53821 55256\n53695 61758\n22428 80070\n4171 20643\n60513 66670\n34955 55940\n7483 47474\n68079 87144\n27223 29363\n15889 54044\n41031 73445\n724 81244\n37903 84650\n60709 74190\n39465 63435\n53566 95034\n15225 95474\n13129 87990\n54962 91177\n7743 19029\n25416 40694\n39912 71713\n6581 37213\n34234 50008\n36291 89025\n31600 47975\n44708 69186\n2978 16950\n66241 89583\n32927 58580\n8164 31740\n24318 92812\n35064 53006\n12755 79598\n5619 37661\n21046 85026\n63506 65573\n43227 44962\n73090 95685\n9203 77000\n23692 60299\n42474 83415\n39440 75516\n42492 65359\n27375 94556\n78284 83316\n3801 27476\n1465 61781\n48020 52914\n4782 85402\n49700 80084\n45042 46930\n55495 90800\n9134 20822\n39754 61200\n48673 83817\n15561 39687\n64237 70058\n74352 79463\n284 64846\n15905 56560\n71904 75841\n70542 90206\n8231 68935\n20235 77824\n63721 93554\n15472 18542\n21801 44711\n43748 49852\n70184 95310\n14380 29411\n31836 44964\n61653 77188\n72476 73185\n47342 59579\n44237 68871\n33718 97519\n87343 91941\n2603 15448\n47149 62448\n61040 68419\n15326 20699\n1727 10657\n39889 45133\n31211 88145\n24361 65254\n15425 42352\n3112 40698\n12414 97434\n10073 46471\n595 59602\n32123 67349\n79903 86416\n76715 98448\n33318 40315\n666 89329\n21077 32099\n13104 88133\n6901 86024\n57927 61637\n40177 86164\n8655 81117\n11077 93916\n17912 94347\n50921 57732\n41 9522\n58901 59882\n33848 50234\n27997 62445\n20340 74840\n2776 8406\n16543 82712\n23974 88693\n55195 75426\n51292 88596\n31377 57213\n39046 75069\n12573 59560\n10939 92216\n6246 36102\n59206 70403\n48410 71514\n92517 96529\n29594 94680\n26388 59431\n93133 96358\n8411 21147\n27273 57408\n68889 98655\n4253 58705\n5642 28681\n20021 80868\n9112 9287\n32572 65235\n63060 86691\n12606 89090\n5426 20548\n1014 86157\n62849 89385\n26680 96035\n18647 33377\n31327 81698\n2710 61683\n36475 51044\n22727 35456\n3963 55541\n41780 74498\n25437 53916\n4672 87176\n46856 93082\n184 74390\n13582 20073\n59640 70759\n25978 50983\n1393 35741\n21548 29298\n23742 81753\n23313 39956\n5250 31565\n9161 24517\n9161 75819\n52546 63913\n28329 29649\n30392 72838\n8792 56158\n1108 50421\n29984 50959\n10417 70347\n3696 64591\n7041 25983\n47435 79548\n50776 76832\n630 90720\n43847 53424\n13198 63506\n64611 75249\n43006 61126\n87309 90638\n34127 48781\n36111 93187\n13695 25873\n39404 73810\n78036 88765\n42654 84511\n46833 82390\n9283 35884\n16058 87730\n7889 55787\n29113 87025\n48978 60905\n4760 57694\n38756 89725\n39284 81745\n27203 27509\n49873 67226\n34457 79231\n4376 72496\n17185 80707\n9916 97888\n55640 58417\n22858 73795\n7555 98081\n35494 79321\n85064 99531\n29111 73709\n1176 29198\n67104 75072\n7913 73823\n84133 88542\n91180 99798\n49866 93641\n9928 53890\n58956 65645\n65325 89302\n67004 92851\n13770 41708\n55519 89611\n36178 63368\n24955 39208\n46294 81406\n15191 99266\n27838 90113\n15419 80807\n26016 95487\n46688 68993\n16584 37754\n80510 91920\n31 66089\n41860 79724\n3911 25515\n39481 92399\n2651 43795\n49102 72078\n45107 91628\n45358 81004\n35443 83773\n12668 25673\n6478 8949\n22852 31472\n6169 64868\n14420 20646\n48110 85331\n53098 54748\n2732 18901\n27147 75913\n52046 52393\n5467 77178\n2424 89878\n53818 96610\n46254 96814\n80199 80220\n62234 88285\n3588 49217\n25114 52961\n25377 54693\n27697 59372\n7765 34588\n7132 90783\n86856 90721\n16590 60138\n12765 61568\n38977 74979\n39383 47407\n53760 74172\n16028 54061\n55391 98443\n29763 82766\n934 88297\n153 89871\n2854 53798\n12030 47825\n36168 39569\n75453 80148\n48892 52401\n3503 55591\n5678 55230\n14921 53783\n59109 91529\n9886 67787\n22805 62690\n46792 69355\n28628 85571\n4362 20952\n6090 84693\n84176 86982\n16122 59622\n15384 44109\n32913 66394\n7798 55142\n8993 25029\n43925 82997\n1356 26216\n29107 77939\n57564 68930\n47189 92285\n13958 50953\n12704 62572\n6494 67867\n79353 84137\n48906 71023\n69169 86427\n64869 84159\n38585 90120\n71053 76926\n16410 51007\n50263 53968\n64069 74002\n62798 72285\n43190 46695\n28535 90403\n60645 78334\n34758 88442\n548 80298\n63368 94464\n49831 62698\n48188 70145\n4495 9395\n17624 66317\n18244 86258\n37356 42690\n24006 85509\n55212 68065\n28562 57666\n48555 94974\n33254 93616\n56753 94630\n6065 61388\n52151 57791\n26857 30282\n2247 73290\n30769 82534\n3180 50145\n12124 20478\n42584 59437\n10327 84333\n25719 45790\n40507 95738\n44072 78835\n57448 66765\n35558 53891\n72661 95676\n28697 29948\n53464 57022\n47848 51438\n3849 5532\n14848 49295\n33080 72837\n17023 26195\n74506 89737\n20432 33495\n36164 83967\n65817 74075\n55775 73192\n14748 69845\n58954 90282\n46050 53192\n73426 82542\n36816 44383\n35159 51425\n49895 64384\n22896 95988\n62386 65991\n7391 26981\n28732 36912\n2560 95722\n46417 77255\n3453 18659\n3975 32097\n41409 49156\n38701 83219\n239 34605\n37145 68553\n86945 93206\n32115 77787\n60623 87833\n5211 90741\n76491 84389\n87932 99388\n7691 17924\n70036 74386\n15290 32473\n39793 81505\n23546 68841\n51116 69968\n11686 60760\n10943 14875\n78111 84366\n9051 89857\n11170 13048\n8331 52967\n49419 58269\n91088 96340\n58906 98897\n11004 94107\n24077 82540\n5290 16321\n40425 93581\n53571 60962\n27365 78210\n65479 84396\n32972 83175\n18560 53999\n43139 85286\n41058 59803\n88288 92242\n6911 88801\n47150 50601\n56671 74317\n6859 80213\n28361 60698\n25617 91983\n43862 56669\n37132 50934\n21431 34699\n18249 72022\n21908 84925\n211 16617\n64186 99502\n11515 36359\n36655 50182\n54577 60449\n14990 19527\n44799 80405\n854 88857\n6043 92762\n61293 65513\n64835 79381\n19085 50618\n46280 87776\n42472 85450\n2403 78809\n17921 30831\n129 92644\n50692 71161\n5271 19228\n10731 98403\n50046 59186\n39297 71014\n29358 46566\n31652 45263\n36525 90107\n2374 89909\n14410 52389\n13355 96919\n56903 90741\n43920 48308\n13523 69177\n46334 91930\n52214 72345\n19906 98879\n4599 94811\n68782 77739\n8346 95891\n40553 48573\n52468 93811\n10852 33195\n7549 95165\n42660 54574\n26954 96507\n38915 70593\n10601 26822\n33321 61375\n60416 96400\n35131 41144\n49594 83673\n19885 45151\n53782 72067\n16177 19155\n8887 40392\n17989 97671\n73186 87773\n61980 96998\n37168 61852\n40752 87481\n23920 75650\n5236 30141\n48397 82861\n23542 45036\n1687 69002\n37462 99471\n14507 62097\n24337 88271\n44587 62503\n32493 40634\n9810 31155\n4499 64641\n16340 47017\n23202 75100\n12887 70168\n64211 65022\n62494 76329\n59155 94223\n9199 90822\n61147 78583\n781 61938\n9699 66262\n9014 24864\n38712 67933\n23556 38276\n11476 52420\n3800 58265\n18962 34183\n56175 91821\n60613 68768\n17815 26419\n45 37598\n27132 89890\n5274 87072\n32832 48046\n63757 69422\n51108 61360\n847 95866\n10922 44592\n4128 96356\n11532 61809\n3632 6696\n67886 73009\n5318 61836\n11105 46887\n3156 32995\n30282 72756\n3857 30639\n23574 91980\n40927 58712\n16165 44229\n39456 54658\n24197 55167\n26703 94135\n21633 78257\n4685 44134\n49598 98972\n50862 69689\n90199 96815\n28924 50206\n10068 56009\n30206 39195\n24621 91100\n33467 93997\n33092 98365\n21412 26736\n3640 48659\n509 7225\n36386 57438\n38963 53769\n76829 92374\n20963 69996\n11719 26175\n35784 38353\n61637 96563\n4609 89181\n60232 89466\n38126 77168\n12283 43896\n37881 53600\n68557 79466\n25299 38944\n71298 78643\n34142 83627\n53632 88282\n34700 40623\n6670 22113\n39132 61911\n60107 86892\n8375 87871\n17870 36205\n40165 90251\n16879 47318\n46242 68848\n30993 51590\n15708 65480\n83108 87330\n23184 41132\n48382 94595\n38775 78187\n56785 91372\n12308 20692\n60577 91355\n82961 85182\n13253 85363\n66062 96807\n28856 49875\n61778 68035\n77313 91143\n25751 78707\n58929 95951\n41255 71219\n21005 66256\n55086 91506\n17187 24073\n481 97757\n40555 84847\n2940 70361\n9565 73996\n6505 70173\n8132 36709\n9908 31903\n41805 56763\n29014 84061\n44450 50312\n1236 5098\n65490 71235\n28588 38674\n91050 91834\n8329 12049\n25664 38204\n4105 36409\n14839 61669\n35071 59005\n40661 73151\n14231 24494\n23024 54777\n31623 66733\n13429 27440\n8312 76141\n9521 14320\n90492 99744\n46549 60987\n53641 80161\n5288 16799\n25521 73917\n17286 34820\n35749 37311\n31411 89227\n27709 52201\n12719 89880\n66122 90014\n17991 55003\n4549 7310\n68783 90232\n43002 96913\n23014 68784\n9722 57326\n51988 75102\n2698 12921\n18276 93679\n1147 53162\n51543 58073\n38324 79107\n4734 80993\n11411 86844\n89542 94762\n17243 58058\n1139 86710\n21638 34522\n24538 66173\n28322 53303\n8037 75071\n83107 83400\n51668 61016\n12847 17552\n15556 81788\n3131 93526\n68935 82479\n2947 71189\n25733 57632\n24797 98135\n8951 24477\n54626 75451\n24422 40673\n49055 57399\n12523 62009\n73407 78492\n9414 54704\n2775 27215\n20003 52494\n14316 21983\n35423 43872\n39956 50801\n12599 45275\n45873 62292\n3773 54339\n61639 97356\n61275 69475\n23380 59233\n6950 8789\n87280 95744\n16654 33662\n34656 57010\n16800 51019\n42761 78023\n23158 68743\n9548 67120\n62209 74702\n20801 53107\n50909 76036\n26707 47387\n44867 47144\n2529 69733\n37050 58871\n27045 29680\n6770 81195\n39962 74773\n34783 76887\n7177 57201\n32040 38444\n901 69652\n58706 61169\n10885 80311\n20053 35468\n8802 93040\n74601 77821\n40674 65855\n92759 98491\n74356 80398\n19049 28013\n3605 81042\n28354 97628\n20417 96121\n8988 72394\n64558 91549\n28830 82593\n17492 62337\n28965 92503\n65110 71276\n8738 93131\n56918 73104\n21098 88486\n8882 58975\n40940 41069\n45971 48457\n18003 91364\n54729 80780\n43663 54349\n12815 85949\n25175 40765\n34455 78200\n68591 77927\n8598 52150\n36242 38572\n29702 61006\n32476 94816\n26871 88240\n13230 61180\n37100 63328\n34475 94581\n73861 77630\n52250 74575\n5421 79881\n6533 90352\n7635 77547\n6565 63208\n7185 61384\n9276 82887\n3109 86023\n42784 52738\n15717 23859\n38168 49669\n8661 37913\n34739 54296\n57571 78450\n57851 90932\n52097 59842\n19658 76134\n2742 19110\n8010 25324\n37298 73662\n79289 81024\n1226 89106\n31400 39211\n67287 93415\n434 55115\n6666 62074\n4536 23680\n11907 64031\n76693 99694\n62253 64346\n10515 41154\n52399 95050\n40391 45498\n49787 94394\n31590 36044\n32424 46842\n35481 39281\n11000 17942\n66129 73965\n9493 76513\n59447 75378\n65294 67355\n7619 68529\n62866 80532\n28027 72292\n40126 56019\n896 15979\n42959 92895\n9151 35383\n7012 64531\n14953 31074\n10073 45294\n38573 79461\n30679 90814\n66221 67213\n34118 53632\n47574 61096\n44170 82199\n52126 97212\n19201 81036\n46940 82898\n4317 18201\n11849 30352\n59549 75968\n22815 28310\n86719 93982\n29192 88271\n60105 85048\n31147 33021\n15199 22507\n48790 49608\n22440 78525\n72386 82723\n75073 83169\n3944 19316\n3167 88229\n8292 72771\n1357 31233\n28599 58027\n58395 73363\n59286 88981\n40407 64783\n30140 76945\n58209 93974\n52203 68231\n5178 23237\n27111 41147\n12258 17761\n64639 99358\n15664 83095\n39448 89247\n61362 67193\n6987 91949\n45482 98805\n14719 70293\n56576 62791\n17088 47468\n70829 87041\n3763 7546\n57806 74777\n2424 70362\n17628 34532\n57055 79173\n26598 85609\n76260 95273\n46563 76766\n27993 32429\n35257 56952\n26403 48566\n48163 88803\n35052 57010\n4956 30691\n50645 84963\n16162 81079\n14356 30331\n7655 60970\n57942 95072\n23740 96736\n8345 11700\n69435 77151\n53662 92190\n58861 74943\n3719 78606\n33156 76649\n6175 14299\n17837 24700\n17264 21457\n1323 42669\n7400 43880\n14133 70864\n63458 64857\n70295 83193\n17883 65163\n52212 99045\n10704 72043\n4121 74908\n44383 90166\n33742 88984\n75220 78103\n20093 34295\n11778 62777\n86633 96686\n25358 70147\n16718 18292\n14234 14316\n16409 40647\n16274 81677\n6395 78798\n16582 72990\n7994 12199\n10610 70679\n57509 67191\n8730 47357\n42795 47778\n8332 25886\n45939 78189\n33749 61369\n61674 92492\n24848 82370\n12798 83558\n43659 59541\n18966 51686\n24460 83062\n21408 41068\n22257 84880\n27833 64658\n77237 89934\n35724 83677\n11710 24046\n60756 72813\n81400 89849\n13233 14439\n8768 17606\n12447 96859\n66600 98414\n28266 66517\n41377 81333\n22189 67364\n8146 12590\n42000 46467\n46749 72367\n54431 81904\n11689 35771\n5842 33856\n44864 96037\n58282 88735\n78768 83119\n88970 95521\n5444 86954\n14463 80794\n29813 36061\n55270 91467\n32886 67341\n32618 72227\n16075 91084\n79952 90446\n37059 45273\n37533 49993\n62271 65026\n33367 58376\n51051 89281\n71118 84574\n2301 30937\n46221 99264\n44779 63918\n43359 74147\n24890 35826\n20370 99922\n5106 59136\n29514 40125\n7898 81134\n11531 58917\n71092 87540\n15877 45959\n84953 99220\n12989 46872\n34099 54222\n45439 76861\n44027 97887\n48940 86098\n7865 72849\n13007 53498\n19112 22929\n71857 75625\n51837 64417\n6499 65062\n36882 69683\n117 11440\n41035 54674\n39841 99109\n10239 20705\n41036 74869\n38009 95214\n68647 69741\n2323 45185\n57611 85795\n5984 13275\n1649 10023\n126 19193\n31982 79920\n32844 61082\n56037 95244\n53765 73304\n22043 53612\n36534 39338\n24054 73407\n83279 98236\n47834 79056\n8869 32958\n4838 17624\n83375 91833\n51908 93407\n34244 81687\n62060 73974\n84848 97700\n46016 88673\n31178 98053\n22712 60348\n2133 71974\n48061 74654\n30541 86540\n34495 40775\n9197 13099\n93000 96546\n43674 68098\n59398 63120\n28770 39727\n17141 96560\n6743 99932\n5856 38426\n64869 79432\n12130 77120\n22474 33998\n30892 87927\n31054 52292\n22212 54657\n17827 27724\n48662 83432\n42755 52681\n88772 98569\n9003 49355\n10075 10318\n9373 45712\n93536 97260\n9940 37918\n40190 59440\n16648 65205\n1415 33908\n51139 54342\n12609 37476\n39277 53167\n53954 84580\n21424 26543\n29873 47473\n13882 35344\n4257 74713\n75805 88222\n25905 83872\n49049 68603\n47387 80174\n83939 85504\n6125 24720\n7059 82363\n8501 80570\n37442 58026\n52293 71120\n70888 73519\n61978 67624\n38735 47316\n40300 93939\n48628 57331\n23494 62080\n54360 63851\n23825 88878\n9399 12114\n42994 64912\n26325 77654\n2749 15237\n33479 65761\n36352 75723\n76388 84952\n46626 56106\n15341 34250\n47806 74247\n15392 89489\n70406 92254\n28085 67018\n18183 23687\n11987 12660\n61761 75388\n38899 71641\n30379 67344\n42278 60157\n35802 67592\n14375 86051\n21896 70490\n46332 87438\n17197 93253\n58672 99364\n30020 50670\n27728 33809\n43165 47612\n8502 43931\n9095 42496\n57142 81825\n70044 86106\n57965 67361\n14189 57936\n21552 60183\n59993 94667\n33927 51404\n10593 28489\n7397 42304\n20302 99947\n16956 89955\n59553 76501\n6448 54381\n8914 44869\n34247 48793\n28010 28957\n67091 91608\n43126 47136\n29515 71548\n23825 98200\n29261 72152\n30971 77391\n36809 42445\n27107 96532\n31016 62654\n12614 82940\n64079 68760\n15916 68882\n11254 63272\n2173 85521\n24976 32431\n35631 40437\n2582 37582\n10614 25064\n71795 75699\n22277 67462\n9729 86242\n7533 16878\n9210 22696\n41137 60768\n5589 52985\n15386 96843\n20611 97023\n45916 59511\n9846 19802\n20819 51021\n1132 98691\n17126 35832\n17499 32290\n11915 30198\n31361 41050\n895 47058\n21589 67274\n44587 85418\n61900 97107\n4814 48492\n20569 49926\n41707 95886\n1078 36230\n65607 97456\n7515 57748\n12671 53884\n38391 62850\n91174 94656\n36249 55974\n45471 85247\n936 42269\n17686 70962\n3823 64033\n31902 66464\n10184 89550\n37889 57867\n30173 95365\n20763 90942\n18297 40347\n50494 50814\n64428 91943\n11348 81704\n35833 58702\n77012 95857\n72940 73664\n22939 78513\n41609 56801\n35751 76919\n17951 61955\n73639 76831\n48706 95827\n50527 52654\n59960 89398\n204 37225\n27678 33172\n28182 82940\n4937 99172\n21861 80157\n57410 98092\n14080 38676\n82755 82928\n61229 86499\n8274 52002\n22639 99231\n28738 61834\n37385 62191\n29737 87798\n25771 94565\n33998 56192\n25291 36529\n6004 87130\n65192 84880\n61895 78958\n22554 42566\n53661 87143\n15849 51215\n43835 82865\n60763 97978\n40915 66583\n57298 81709\n83335 97170\n8781 39912\n41515 95487\n8162 95359\n8561 74299\n7005 98042\n30726 95445\n46081 50725\n25192 73303\n76447 80637\n47006 48318\n25706 89853\n50985 62905\n1324 62005\n22731 81816\n28857 58266\n47149 76295\n49440 67647\n57100 81700\n25480 65491\n62221 63509\n18211 74893\n10184 41390\n39614 66060\n20581 38451\n81044 86147\n7462 33183\n70514 95785\n15502 78865\n2955 91527\n46334 50738\n16993 31419\n26565 42169\n51243 76845\n27736 32624\n28820 70376\n52377 74876\n19326 56793\n46792 95837\n30960 92385\n13062 48118\n16213 25282\n350 3128\n48270 67673\n27907 69949\n13271 18513\n19072 71993\n46268 78466\n15703 77027\n11959 48250\n11853 80348\n44284 60237\n79807 85170\n49328 90662\n41773 88692\n9294 12722\n23425 92803\n58948 82666\n14838 75210\n87462 91352\n64701 92095\n1955 31914\n25099 68033\n4868 47390\n50588 84203\n14314 50432\n41443 68327\n71804 81710\n14536 34243\n51525 81105\n20361 63608\n35671 82352\n24974 26764\n67784 92067\n2808 71897\n12412 84194\n45615 92007\n640 30170\n28557 55015\n51161 63349\n18051 28438\n93193 94547\n10267 15291\n10771 71833\n1106 38099\n6327 49519\n82249 87040\n41690 76333\n1414 38879\n51784 83747\n42922 87345\n20020 84740\n6128 16433\n10627 73659\n13369 18037\n29839 71239\n32709 83525\n21305 92673\n14208 62789\n9998 51233\n48405 69528\n31122 68499\n7441 93251\n7786 61905\n35936 83816\n3279 78831\n9407 36508\n32364 92203\n30158 61935\n14233 26362\n22306 60113\n57483 94370\n52467 54448\n81473 84699\n57344 79671\n37283 90281\n5802 28222\n37166 39615\n8965 34138\n28209 73612\n28403 90679\n37390 63124\n17154 24966\n62793 84166\n7883 54095\n48749 99514\n38700 88605\n24076 29382\n38618 93030\n19890 74515\n19781 71745\n38691 61194\n20557 53712\n24906 95255\n40261 84845\n65380 87464\n9278 68100\n37567 51899\n4705 18408\n36602 66614\n22472 93800\n51278 80500\n2453 14948\n9356 71818\n7519 31623\n2150 21442\n65115 91803\n13960 61537\n18749 28255\n12235 96307\n8850 62785\n43432 74171\n12053 87012\n16080 47880\n5023 73641\n12901 50226\n16627 72764\n38905 73658\n34259 88585\n17710 98720\n41227 74005\n39281 76067\n89959 93105\n25211 73866\n70366 96497\n8857 20638\n52223 57469\n70074 87502\n7596 92667\n15016 94937\n73493 89113\n26758 48841\n48136 79219\n53308 83966\n81160 81917\n4969 79994\n24124 80152\n38953 40435\n51147 76251\n11197 24251\n13552 56502\n12898 26352\n41150 65936\n13061 74409\n5160 25351\n14026 38044\n22242 56745\n31591 63440\n76356 91075\n13867 99947\n5152 33652\n9069 39498\n21970 51440\n35674 68168\n41785 58817\n17099 80351\n5780 81882\n22514 94048\n16665 53627\n89391 98185\n35319 91788\n45882 55054\n67498 93672\n3510 82844\n264 53254\n60729 63068\n16944 26540\n80577 99356\n2950 51541\n19146 96236\n3413 47144\n29181 92683\n70705 75437\n11676 56003\n66617 78329\n60795 77582\n54861 70913\n42489 83837\n2020 41561\n76348 91001\n46551 88285\n24731 59405\n87498 97766\n87146 94007\n1888 77233\n19234 49809\n53736 87827\n43748 59244\n85020 85451\n19030 66290\n7453 92765\n38111 45375\n30831 57579\n40225 68143\n31599 77359\n43902 71667\n1619 6978\n68664 99569\n45539 53878\n33972 86857\n30827 78680\n17510 63827\n2674 75521\n60651 77573\n6157 44934\n40026 94474\n22258 72185\n11648 14659\n75439 90468\n45752 98032\n62626 91319\n43197 52762\n40206 42734\n5387 53010\n7935 81293\n72167 77341\n15484 95799\n64734 88667\n84489 88667\n74626 85199\n7680 56731\n28638 30757\n22632 36273\n43446 63731\n50353 82966\n31299 31908\n34143 55995\n51910 89762\n11769 15681\n9354 72318\n30226 34749\n19441 37052\n76335 85087\n10309 94564\n57966 71736\n32138 39827\n28866 60293\n38430 40830\n41555 92077\n21817 71218\n29967 64341\n55428 94522\n27078 70983\n36808 53939\n8210 57919\n40628 62100\n43952 67264\n53519 97931\n30853 83493\n11806 85979\n38734 97810\n65125 93030\n64731 71830\n9070 65352\n56534 80298\n21551 31168\n11586 21704\n445 35928\n71432 96790\n15838 34222\n47130 84362\n66653 75573\n56676 88340\n68644 71109\n70501 85492\n64558 64744\n31670 80052\n55100 71334\n752 8991\n67235 76636\n1441 36962\n20572 98573\n34196 49542\n48196 80172\n4255 32880\n11857 72881\n2822 30484\n16987 75668\n10446 51855\n28348 31004\n37301 98940\n44736 65470\n19267 23539\n17069 81189\n22064 75937\n19830 51100\n1052 50516\n80446 94611\n28674 51891\n14514 34055\n47657 78031\n24342 78767\n63532 92676\n18065 81986\n74767 96180\n19342 23699\n12053 99122\n1512 16014\n63451 74468\n11656 48888\n27734 83873\n25119 70511\n33421 51086\n29446 71484\n10716 87750\n32421 33854\n8363 43921\n79506 92229\n74196 77538\n1960 27494\n47816 55096\n17512 75913\n68443 81870\n28701 54758\n20937 36365\n75390 94552\n71674 85255\n25043 28399\n22969 86758\n53481 93639\n3054 47728\n44456 59848\n26400 30120\n51723 59751\n34800 69613\n10810 77157\n7466 88465\n47689 78938\n65685 72676\n38553 75527\n15072 85049\n74904 95079\n3727 5914\n22296 96575\n53098 72713\n4648 50766\n8174 41053\n77150 87852\n33105 86214\n50322 78687\n52952 58689\n46733 84280\n53359 62471\n52091 58494\n26654 93811\n3041 77118\n30191 55369\n31581 75508\n37292 58577\n4093 44136\n79960 91863\n79633 92315\n2452 47836\n84125 92371\n39045 69297\n9824 16834\n68216 80201\n27758 57041\n42508 75585\n18728 86801\n1906 11148\n12602 60543\n14650 82480\n34177 46638\n13208 91227\n31893 81498\n31443 50919\n24895 90824\n65207 85240\n36355 71354\n72733 87392\n46339 49524\n8468 79321\n26678 69374\n38776 69182\n57948 63858\n2952 94129\n14643 63127\n45357 74756\n44630 74605\n63369 90198\n35007 46423\n45372 85118\n4482 73657\n29421 44074\n57234 89272\n53171 54553\n35048 45750\n26416 65661\n31803 65264\n57807 59723\n72540 98558\n33593 58758\n31508 54425\n73082 83980\n11182 35696\n16783 69847\n18893 24300\n2434 87780\n7466 98565\n70727 90903\n6919 68789\n27192 50370\n59484 97265\n5193 51942\n40530 94504\n10236 25056\n7831 70104\n71332 74840\n43878 94391\n3340 63083\n51625 64902\n66768 86926\n58124 90443\n32288 57617\n45970 58899\n21994 70680\n36290 79854\n79366 96228\n20987 56150\n21245 31506\n5720 14434\n20722 57630\n4513 70670\n48770 96006\n28827 33643\n48710 94303\n72787 86374\n2825 66615\n44532 65952\n4623 90592\n6317 27884\n35444 39277\n66480 96645\n50298 68851\n2955 63594\n17620 43500\n50630 73407\n34553 87158\n39990 82451\n53303 69224\n91344 96968\n19017 85088\n6606 53568\n20729 37635\n59494 59690\n15664 83471\n25249 64926\n3615 77613\n43419 46575\n14526 77089\n26750 64908\n24626 92494\n14681 75939\n20609 31335\n1004 33007\n66134 81458\n29723 60534\n978 9121\n27775 49470\n20246 78652\n13573 29263\n40263 64009\n66582 84121\n16776 52395\n42666 49082\n3068 59341\n37675 87931\n42491 65742\n38324 55609\n16805 67396\n43188 72793\n1065 9062\n59857 65907\n13362 63815\n81148 99477\n18573 36478\n12100 98070\n16371 20091\n46593 46974\n2203 75580\n38210 69334\n52882 72627\n10036 29441\n3434 63144\n4531 96652\n10593 82985\n43990 76948\n23011 95936\n42612 51323\n45957 82204\n13013 53395\n25550 73602\n7136 96441\n24888 68476\n56145 58969\n25065 56920\n63907 78641\n66891 77500\n55265 99381\n27243 71311\n7216 18441\n51123 87319\n35232 43225\n17128 70775\n22368 46482\n11854 69789\n4618 31783\n41968 71376\n45019 70311\n78342 87887\n62297 90302\n1788 24324\n4095 85258\n9804 50481\n44799 90893\n29397 67187\n15272 97452\n61220 79962\n1621 32455\n26309 46157\n27660 95818\n46439 70655\n48353 51947\n43326 49727\n35864 37326\n3421 15042\n36216 92031\n10299 38604\n52534 69594\n4311 93912\n56040 84459\n13055 90227\n17700 52398\n7412 29759\n15349 52412\n20714 62737\n42182 93134\n5476 95125\n49625 50723\n52905 62501\n23382 47359\n22189 85425\n48333 84506\n25633 28909\n14912 97506\n47226 99445\n20539 27253\n2102 58503\n14507 87737\n62152 78306\n29380 35727\n20778 39138\n15101 51153\n79241 80403\n66667 88558\n10992 42801\n4240 64019\n2733 7668\n37152 84050\n9870 10069\n4716 89522\n7150 60068\n79335 96758\n75441 98361\n12690 71809\n48595 83441\n57111 57655\n17883 71684\n5853 76793\n10896 32721\n13760 74299\n76190 77902\n97494 97711\n45841 47108\n62950 79667\n702 91258\n1828 77494\n10210 63660\n42413 71808\n48372 48411\n20884 44173\n51462 79327\n15708 93420\n26498 80473\n51089 67844\n1963 70048\n40910 47317\n38078 61466\n4802 79308\n52184 52227\n22192 25655\n61447 99557\n15698 54025\n47500 55033\n27259 73461\n96108 96638\n77673 83087\n7960 14431\n40777 88465\n25734 30298\n2792 89892\n19668 86927\n48734 50778\n3145 69673\n18183 73014\n27179 28883\n12070 83122\n51922 70500\n51274 64266\n5398 15241\n79906 97120\n16492 32107\n42702 66559\n26892 74933\n61038 89991\n6609 34070\n37101 80605\n22883 58577\n17205 68860\n44504 52496\n35510 70640\n15344 98587\n2371 59975\n86774 99552\n29501 93173\n86659 93221\n49743 61650\n3331 3519\n34204 65959\n48993 94486\n14929 37401\n8350 64300\n40126 52549\n2817 49588\n32994 73332\n61403 95306\n15038 22950\n26306 39880\n3808 73373\n41014 55654\n68408 91277\n68427 68499\n42779 96880\n1156 55326\n45698 94723\n79588 86273\n63019 85036\n20232 35634\n10066 39433\n41692 83466\n25120 81864\n66782 97573\n22695 27606\n69908 88696\n71801 94379\n30085 30489\n57833 79213\n1092 6780\n53563 81471\n67642 76244\n11711 65035\n74413 87422\n38147 92928\n58029 88379\n5010 70723\n21365 45645\n85483 91123\n71175 83686\n8138 39571\n1803 4998\n7217 70998\n60704 93818\n4984 46494\n15459 41469\n51604 91955\n37023 97693\n15360 82159\n18254 27502\n28042 83369\n36520 88257\n21471 99661\n82561 88248\n87186 99001\n34677 65930\n2544 57173\n38139 91542\n9659 87078\n44625 57419\n12886 79078\n11442 98409\n47945 70252\n2732 56656\n21553 64511\n27256 75212\n63306 69194\n23988 68670\n31530 65153\n38638 82404\n5952 32362\n49197 95619\n66862 93866\n32623 82631\n288 15924\n32572 33543\n62508 99813\n28158 50968\n2519 32386\n60441 67566\n19436 78262\n10648 13319\n73252 75287\n68263 92492\n53609 85008\n84427 88800\n12532 45190\n5038 21519\n50714 97461\n2854 71793\n37517 95165\n54905 63088\n4011 97666\n32841 37664\n70288 76521\n4508 93737\n49102 82251\n268 63691\n36027 83678\n70730 72386\n18445 90638\n85394 96303\n27715 55129\n51796 63943\n3764 83506\n43797 88216\n17551 27038\n23242 61932\n17728 84465\n62994 64620\n24563 34233\n74958 95577\n81677 82864\n56093 68731\n62641 82452\n27033 62921\n4865 50992\n47377 68084\n76619 92698\n40695 70281\n6744 25419\n3021 8911\n45805 88108\n30181 54734\n23125 77712\n69704 86478\n45059 77969\n7818 57540\n43386 70709\n3969 31143\n64048 84355\n42278 52818\n75571 97387\n17625 88805\n364 75290\n23406 92627\n2595 35649\n30522 80257\n7064 34924\n33760 89735\n24299 99851\n15911 49313\n95632 98416\n10672 47129\n41486 82610\n31688 33004\n74300 97037\n4818 84998\n36762 65136\n8301 48700\n7831 26669\n1759 27058\n4169 83864\n7713 61146\n18466 62824\n41818 45582\n29124 60659\n40030 70438\n57742 83933\n34972 90011\n21472 32402\n2158 28350\n13961 49679\n27149 37924\n39165 88145\n7358 37156\n28675 71880\n74797 91309\n72688 97156\n16404 68849\n19795 96678\n54888 61959\n48820 91252\n84724 97111\n4448 5194\n57096 94573\n53121 63015\n23899 50089\n62379 81759\n6631 85293\n28053 42970\n69179 72846\n3771 45140\n7850 16192\n28111 68036\n43638 50492\n9665 31660\n61877 88350\n39375 46358\n81954 91596\n16363 61028\n19503 46252\n62516 87740\n6573 84986\n30886 51039\n47259 77875\n20711 52919\n43102 77098\n59622 94941\n10873 20765\n39494 69827\n23778 77434\n21470 75023\n20863 77844\n41165 72754\n8428 71749\n26404 28433\n43756 47847\n39439 49344\n33787 56224\n79589 95318\n32852 87024\n25131 33793\n43162 47052\n25281 82490\n4931 34692\n3534 78467\n78437 84013\n72779 94146\n20684 45125\n40403 53841\n29587 40927\n30581 32122\n4087 69616\n3205 32476\n7533 51271\n52791 84588\n14555 30865\n26922 46657\n67600 68163\n21119 89343\n891 14674\n10801 12162\n18507 52184\n14285 54515\n32277 37917\n44393 53593\n5382 57085\n4754 42760\n44698 89403\n11984 30436\n8619 86276\n13629 82497\n16022 81813\n1269 45252\n55958 76058\n20359 96437\n43933 76460\n57925 94011\n17138 95734\n20388 86932\n30860 60992\n35665 56567\n21576 42019\n47435 58681\n23069 71951\n16796 59862\n7447 83786\n7491 64231\n38662 66202\n64982 86588\n7300 91582\n34466 87212\n4445 55462\n51343 59232\n15593 37122\n5567 59532\n15348 85792\n9660 86877\n41336 50992\n11039 96520\n32509 61605\n43470 57442\n61364 88106\n19207 44706\n56578 90431\n74262 90789\n28672 53159\n24308 26940\n1200 36638\n70444 74222\n69953 72302\n3058 79274\n5715 7582\n39924 92223\n35922 95360\n64266 65425\n27029 82693\n47339 58483\n2327 99261\n12448 80831\n63990 99585\n25259 99425\n17659 82125\n70922 85869\n17355 38662\n56806 69923\n15540 19055\n66605 83231\n8299 58087\n62445 94159\n34144 90290\n53354 83371\n24166 71371\n15155 40272\n10679 26257\n587 16738\n43185 79542\n3032 17518\n1354 63208\n1672 71040\n11912 59386\n62792 63653\n20567 62465\n3068 38567\n1249 56894\n67549 72809\n50013 90163\n10525 27589\n21512 38678\n29346 39400\n12868 75278\n49197 59594\n25559 26852\n26885 57489\n20271 91644\n50267 64226\n18312 78465\n51470 70857\n51706 92372\n19672 35545\n10265 79738\n18168 29263\n68008 84323\n62868 83318\n55507 79796\n25863 58775\n3067 21585\n34302 43953\n49190 63424\n77643 85929\n25273 96471\n28520 88220\n32181 44049\n21472 42542\n38415 42106\n9476 80410\n38065 38577\n6997 62026\n9039 70598\n24001 65332\n27285 30145\n35617 59624\n47946 70482\n90624 92087\n4534 75715\n15811 42381\n43929 90257\n9593 34428\n79075 98325\n51638 59147\n56910 92169\n11833 82794\n71166 82667\n27577 31958\n53522 80554\n26976 88122\n45553 72537\n23800 80416\n55643 88871\n54524 94808\n42220 76425\n46767 48222\n1776 72517\n27079 90800\n9 953\n45203 61365\n9237 10018\n29761 81341\n33894 71189\n23988 76622\n18915 97689\n21310 73423\n8627 60069\n11313 65553\n58889 70687\n24440 74645\n10224 15090\n3261 37451\n21934 74599\n12798 46888\n54553 97421\n81736 87549\n18530 94790\n75838 86516\n51123 64220\n27116 55694\n34442 63448\n63377 78346\n9023 17203\n10433 91291\n49932 62013\n66223 91587\n54276 89927\n7621 71719\n9929 76600\n17653 45547\n67089 79306\n23802 74200\n59374 92688\n24242 74809\n35284 89480\n11857 32133\n25464 55996\n20480 87453\n58926 69984\n2734 63969\n36270 68561\n57289 73657\n92673 97850\n35683 97347\n3512 54943\n38055 71756\n45643 89676\n77642 91511\n31782 40695\n34780 39120\n12501 99250\n40557 95949\n3323 39040\n20109 25704\n61902 73557\n45322 81255\n431 10819\n16953 87922\n15717 27915\n1604 40989\n55868 60498\n64906 65773\n11654 79707\n6402 28677\n12952 52710\n72703 88731\n49826 53598\n45270 97213\n2060 98723\n6157 23426\n41903 43323\n46379 70353\n81862 82737\n11724 91955\n42981 56790\n14653 51297\n37874 76904\n96115 98939\n42619 50376\n64348 84147\n29476 75309\n3262 11600\n44009 72501\n14881 61439\n26236 86138\n38168 53394\n35941 95826\n12846 37101\n20725 60465\n1808 60522\n8263 59557\n74068 88369\n52721 80658\n6887 66910\n89762 94924\n41712 63700\n18629 68555\n9887 89299\n49838 64861\n11946 47127\n5142 78475\n58219 74071\n29028 39703\n90323 98550\n74154 79322\n5925 90440\n7918 69062\n60237 85060\n16570 85275\n74358 87471\n17276 66586\n20175 73516\n18693 64455\n6279 97021\n37546 43037\n25417 99312\n60168 61256\n11652 49672\n1562 13622\n17558 54969\n89144 97344\n18736 88738\n86544 95714\n44367 82430\n2044 44369\n52055 87094\n17145 77150\n9168 40631\n228 87003\n44860 70256\n15823 44876\n47184 49457\n85448 98908\n33369 46700\n22873 78051\n42113 74176\n21180 50478\n56516 69832\n94229 97211\n9754 48159\n22511 38506\n27842 58618\n59342 73556\n37184 73038\n33157 41433\n8882 80797\n33499 80882\n62138 87240\n9566 21573\n35817 63388\n12426 93605\n2419 66919\n12963 61355\n32223 85773\n71063 90729\n35691 97099\n37534 42518\n64599 78300\n45271 91891\n18770 66531\n28424 34747\n13644 44420\n1078 60066\n62231 85815\n56144 58224\n33805 35472\n72435 78425\n29132 93387\n54973 81845\n68737 74502\n31715 87746\n63787 85539\n57552 66572\n8268 18027\n164 43693\n71341 82171\n10319 26232\n45739 56319\n49073 72004\n28721 41578\n71680 74999\n6208 47834\n19570 96594\n41094 60679\n39043 43281\n32258 63837\n427 58288\n7538 15730\n8523 14268\n51024 91221\n87966 92276\n36292 71060\n30570 43902\n20974 44467\n1220 67629\n21748 76233\n9211 84562\n50334 82230\n56918 60004\n30534 46805\n30636 52936\n43979 60940\n67311 93670\n30536 36491\n2043 56319\n21920 55123\n11171 67937\n6901 18399\n778 83564\n21712 42041\n10825 41082\n1265 42406\n84287 85179\n22845 35756\n48487 82168\n28833 66569\n52056 84531\n28910 82411\n38719 62484\n7152 79661\n17057 25361\n37795 79088\n606 89052\n30966 88005\n54368 83874\n20775 29538\n33457 46322\n34266 53911\n39286 91099\n46023 51156\n48932 65024\n32599 91976\n78287 79218\n10339 83599\n71589 75800\n54397 93075\n41935 83330\n1710 28990\n23203 54654\n37840 87313\n86656 96276\n21158 54733\n33798 62712\n18728 90399\n37392 75683\n4949 48905\n38313 52006\n8250 85940\n78043 87309\n37956 58373\n5585 50436\n27415 85200\n35762 69604\n10710 52799\n50554 65403\n23523 56610\n50589 70941\n12689 90362\n9899 70225\n36263 81136\n36167 85080\n53586 54428\n30485 41547\n73487 76097\n55430 71283\n17804 68270\n2342 30470\n5511 26255\n64028 90732\n47524 83365\n10061 40688\n30744 69786\n25572 86677\n55511 96322\n9166 24857\n63164 72048\n46266 99127\n20444 83986\n36781 96190\n9185 61485\n11366 69074\n28951 86733\n51509 83514\n10098 55998\n56490 98338\n71798 90019\n4646 41161\n35663 38345\n40337 49197\n51156 96262\n16392 19657\n41012 74536\n60818 68967\n9519 96556\n52640 63316\n25262 91317\n6127 68662\n27866 59095\n68538 92610\n5247 54270\n50069 54854\n1744 70584\n16553 38652\n55109 73003\n41522 89662\n22002 37664\n18747 22229\n15676 56638\n44207 93128\n65410 92885\n35474 73590\n73699 74020\n1464 36222\n36512 38381\n3673 88886\n25497 86859\n14785 81658\n39234 66025\n15290 27128\n42536 43677\n31766 97156\n60851 61041\n1238 99285\n42826 65297\n5355 80862\n51863 65837\n79024 99170\n7989 96090\n3491 52048\n12031 20755\n15226 51808\n18258 31428\n8465 85960\n42187 84665\n44012 73422\n26111 57697\n18745 60411\n20265 95713\n31703 46778\n55381 96787\n70988 77318\n54728 55352\n63130 98475\n14825 50114\n35153 45719\n20952 73015\n21811 40481\n7139 96674\n3922 88438\n15791 29993\n16935 90960\n45231 84687\n23619 87368\n68668 91518\n19153 28864\n11358 23835\n10024 16859\n43688 66661\n64152 89791\n12210 82234\n55991 98055\n14914 23790\n67879 98287\n72527 78086\n51799 66496\n2199 56479\n3290 26084\n57690 81516\n9522 76306\n30724 53080\n1841 75744\n19742 88091\n22771 90741\n1724 98466\n25753 51131\n73172 78226\n10566 50525\n36346 59679\n80739 97593\n45401 64127\n31251 44989\n5893 37895\n21483 90735\n32532 86775\n61754 79430\n47319 54319\n37212 38860\n30947 88654\n80334 90676\n4131 52383\n35703 73370\n2518 65770\n14453 62746\n9560 95762\n7138 16083\n25260 69167\n36154 43679\n24489 99305\n13613 70288\n26082 44553\n73695 77946\n47001 83197\n12158 95076\n57372 72148\n40555 90046\n12808 80929\n49512 90772\n3280 86496\n30465 59811\n29195 62775\n41973 68346\n44020 69829\n20224 83764\n35339 98336\n9467 93159\n83393 99188\n76586 86470\n2999 15683\n35287 86654\n480 52325\n56842 90764\n92785 96315\n76141 86117\n30371 58545\n64733 65758\n6194 84674\n40192 51476\n23313 47328\n66494 73132\n26693 33850\n32991 40168\n726 6550\n72380 97964\n26363 36473\n67522 72870\n48218 58477\n12075 26938\n3230 58469\n4781 19111\n9417 26590\n54653 70956\n1737 57634\n26878 77089\n45195 81973\n56431 86457\n3556 40534\n11039 68242\n6083 56150\n26730 97185\n22723 27671\n49962 93639\n48674 65527\n36834 93068\n75616 88056\n56506 65055\n59126 82500\n22072 89813\n13198 28975\n7984 23540\n22872 70361\n17950 68634\n3728 37628\n4551 53058\n10116 10594\n26347 85569\n28748 90550\n28074 28434\n26165 87658\n34227 74314\n39339 99414\n25561 81453\n6264 86515\n84757 92927\n36533 64025\n44363 48681\n15557 73952\n28710 78305\n77565 93915\n77386 81718\n26912 55531\n19115 43858\n58572 87137\n25762 57119\n82411 93045\n11960 21011\n17386 33038\n8976 79515\n43803 64025\n7179 76027\n22309 38098\n80088 82864\n6226 45093\n30869 88057\n62640 88250\n28191 70061\n72016 77654\n27308 53993\n83416 92883\n2595 72627\n63819 86033\n26684 52405\n66539 68464\n62901 68487\n21235 48145\n40100 77135\n47507 89955\n35388 80357\n58513 83801\n71148 85616\n65813 84654\n18313 72258\n4211 83691\n26666 78106\n16762 53408\n28950 53644\n10825 34739\n15178 69453\n21417 68776\n29736 93640\n32257 75407\n15944 91851\n40801 95918\n24890 71559\n13238 82355\n42538 68045\n5196 40558\n86857 96833\n44200 96795\n42828 83718\n9868 34404\n16816 83228\n7205 92618\n30439 56652\n1159 71518\n90022 92686\n12365 46621\n8446 82414\n24737 46305\n3063 22161\n65464 86990\n7554 52705\n7562 63313\n32407 74154\n60649 84357\n57866 61015\n13412 46481\n15336 56416\n54405 79511\n67397 76487\n46240 49731\n2421 58113\n21421 89224\n46393 79988\n23791 48136\n70103 73612\n8332 89003\n69619 72860\n37084 95681\n92426 98901\n6441 47746\n41286 94908\n65650 74427\n2729 16358\n76108 97654\n77312 95469\n28411 45430\n31323 34844\n80626 92642\n45520 63161\n49300 73921\n73591 92095\n87447 92192\n19141 93131\n3354 12390\n24982 31645\n33852 49097\n20428 78969\n5850 68116\n22781 92037\n69440 75350\n18576 23713\n15424 63814\n22389 80038\n57383 82725\n45003 92007\n3014 68879\n12173 23353\n51944 83524\n10792 54066\n5502 30752\n64000 68895\n23689 42735\n32565 48547\n13333 97500\n4344 48767\n23955 47095\n25565 43749\n19384 99348\n66089 75586\n13172 58196\n40384 73647\n33585 76257\n72631 75321\n53320 70654\n9608 58150\n75784 87776\n33918 74449\n33663 76483\n36838 88950\n5311 50261\n47658 90607\n32218 55693\n16098 85670\n34062 69568\n17657 87267\n16276 89799\n45906 59565\n10657 64684\n40896 71374\n18185 59987\n69615 71822\n26528 73578\n10930 83119\n28561 80028\n41392 43775\n32416 63351\n23123 49918\n47698 73713\n60533 99798\n4051 92477\n22888 38261\n77880 86777\n66542 80011\n19808 85869\n32410 78103\n7003 11671\n13081 61020\n6143 55297\n49462 98366\n49520 93706\n4777 72344\n67989 92624\n22404 58645\n4822 68819\n14989 23019\n66083 74991\n15794 81422\n57202 99009\n1842 90449\n1692 78081\n10944 26169\n9859 54029\n66016 72260\n7621 77525\n26363 98765\n3308 71643\n78237 96676\n65397 97608\n24532 84721\n26928 38777\n13587 36452\n25259 63914\n45039 59870\n31757 51886\n26906 34883\n55686 60165\n2512 34436\n22534 54203\n57051 87516\n56200 65917\n35864 39983\n31511 31578\n16300 80822\n67526 69739\n42251 58506\n68655 81272\n10151 87504\n58480 63348\n51680 80220\n26333 93641\n23027 74903\n35969 36498\n3507 32353\n50136 60951\n1147 67968\n76617 79547\n11666 42234\n56552 80367\n67811 73547\n58830 71988\n24358 76186\n23364 86485\n18238 75438\n23831 56259\n53669 75221\n80527 98008\n35147 92836\n78106 95774\n36212 89641\n76826 85980\n59722 96202\n57560 62565\n10196 37669\n78034 96736\n75770 82985\n1005 70382\n19124 51758\n50223 58244\n52652 79498\n104 60900\n67762 87380\n34878 47536\n21022 45767\n11474 42144\n10769 49191\n70265 86017\n56324 78460\n47528 54108\n13856 73417\n510 55680\n29299 81067\n47053 65876\n20696 22172\n14481 71303\n11993 89810\n20738 87139\n14776 28019\n1497 67125\n40546 61337\n4221 21065\n27007 89203\n43123 64109\n19217 78917\n3336 49388\n9489 78480\n5431 30174\n17699 43938\n12473 43818\n85276 98939\n70794 96323\n74774 95222\n7569 73894\n43898 87088\n28780 79444\n45389 73333\n7896 80350\n11016 71969\n13998 45053\n30867 66846\n76074 76675\n21762 33532\n38255 50911\n16885 93665\n7269 35865\n34753 53679\n18361 80959\n3532 34600\n11214 72383\n9036 20098\n1302 30704\n9089 32101\n4770 81222\n22283 72970\n29566 82987\n774 96629\n27074 43660\n58313 65232\n2766 28188\n8085 37879\n30980 55892\n67402 95793\n24871 90795\n74448 88704\n74652 79454\n43803 59945\n27092 50869\n40330 75466\n34772 94416\n59334 77020\n3915 37568\n24510 44606\n18879 99306\n3988 31921\n42721 84808\n38558 75088\n34227 55236\n32949 95997\n40090 78813\n85181 88059\n6565 12866\n14883 41011\n65912 88432\n16521 39736\n66877 87181\n91719 98573\n6708 49046\n68854 69806\n24126 77985\n22920 65750\n42530 43895\n15152 27837\n15117 36884\n32671 55968\n13932 23153\n12392 30525\n45235 97196\n13957 78375\n45809 71750\n46349 55775\n4457 91832\n46279 92936\n76205 93088\n46181 80456\n61706 87269\n12563 90947\n10740 45635\n11881 75448\n31523 55675\n7853 17272\n76944 77121\n92175 99671\n22299 62038\n8232 82475\n31452 92788\n39749 52795\n11525 48111\n14930 65843\n21757 27145\n18544 83900\n52379 55865\n21141 58423\n32894 57757\n51474 75136\n6756 47083\n3215 99797\n8310 66677\n27519 71339\n58474 90869\n90173 92755\n9979 68967\n49465 51918\n93374 94810\n70624 95020\n4637 29562\n33019 33355\n62284 64048\n48190 67807\n70788 89605\n32108 99888\n6856 91538\n3432 96758\n37244 61031\n65825 71812\n72028 95121\n18085 98811\n3657 44378\n2421 51550\n69614 72722\n59963 68686\n1184 97240\n3403 69664\n7481 39034\n9400 87360\n7813 57617\n28033 53663\n47563 52655\n22802 70787\n59147 63640\n50503 78308\n20344 55256\n69764 73723\n15738 70367\n30776 48145\n77755 88156\n25030 42902\n32767 78263\n37629 54783\n14875 98579\n12938 44111\n3228 8205\n49931 91906\n87977 89843\n18836 49283\n70128 93354\n64891 81973\n16995 75785\n62441 78999\n45937 75181\n2640 36767\n49397 74498\n84253 99228\n20151 29215\n32942 38379\n56401 88344\n48115 98018\n26126 84845\n62050 82764\n40747 54045\n29650 55336\n11969 56544\n73805 98963\n19055 55252\n85802 89178\n7794 66670\n46603 46854\n46401 61717\n33386 82145\n13388 42072\n12733 68553\n15480 28952\n81025 97498\n11122 21208\n2968 6241\n2042 65589\n3377 49765\n49453 56870\n14168 38485\n2250 51129\n77499 99659\n55267 80344\n16379 28833\n21488 54959\n32030 99597\n70715 74351\n65955 67402\n16081 18742\n27180 53720\n31359 95974\n35273 94395\n12966 87062\n51144 53122\n40243 49679\n55069 71356\n92370 95510\n53394 67063\n28955 37759\n25173 41922\n83063 94126\n39025 42899\n73047 74590\n25874 80110\n22272 82683\n34522 79616\n43366 57788\n58501 77716\n59762 80009\n14244 95782\n12744 90346\n70068 96600\n35857 89478\n18066 82588\n10259 89939\n34848 37353\n44241 76073\n61453 69509\n37225 72047\n260 22997\n7612 68915\n3308 83458\n62754 73148\n58905 72230\n25665 66465\n21636 46494\n69705 70604\n66076 71188\n3076 45705\n58708 60534\n14052 94022\n70826 97873\n12824 61578\n52256 55622\n54943 96211\n22037 87660\n20867 83965\n25026 47239\n31140 65612\n16685 64339\n16923 66715\n40931 45829\n15878 58957\n29992 33189\n4254 40503\n4997 67336\n11934 25472\n78470 95913\n17326 75915\n17907 43902\n18916 27748\n10009 43434\n8206 81862\n11622 30445\n5822 49329\n20045 49699\n22037 62144\n35872 48660\n10641 38761\n7992 79002\n2050 86099\n5664 38694\n16923 56727\n10567 70029\n17085 48961\n42296 42408\n46958 95105\n3355 43875\n86873 91500\n46879 80378\n15691 19265\n7082 67500\n2382 34679\n14984 85547\n68852 88287\n14019 60285\n30126 91080\n27459 47269\n50429 90768\n44482 54426\n20799 92410\n5354 30448\n12880 81465\n25202 51421\n4393 78132\n37349 81564\n39175 98621\n31064 83123\n18576 42001\n2767 68026\n6464 8489\n16870 43787\n1089 54365\n31083 63488\n56033 73524\n64834 97673\n37562 62016\n21950 63198\n8037 10910\n3075 9047\n9152 67732\n6947 19703\n45081 52872\n62998 86887\n3634 14607\n3753 20917\n65228 80544\n30789 77367\n46803 94075\n10663 29662\n33777 39668\n1048 15124\n5038 5487\n62803 89550\n2326 5121\n60831 81314\n51519 66048\n58082 64855\n81371 99657\n20579 48162\n655 95010\n61224 94393\n6395 89743\n29844 85961\n60446 92027\n32615 83290\n747 3761\n26606 95472\n11577 73896\n67179 73365\n50547 96033\n57718 64031\n96307 98961\n1243 89240\n16379 43628\n58074 59579\n31526 72032\n17518 19742\n52290 56558\n3509 25765\n10973 23530\n5177 49719\n24964 83810\n40430 47428\n12097 56279\n56690 79221\n59 30016\n38937 69260\n8246 78079\n55541 62128\n46561 52180\n871 92790\n93831 98211\n29787 86714\n13413 19548\n76554 79127\n52376 75527\n1024 45912\n13035 18408\n79056 84615\n26201 52380\n51684 65101\n32279 42613\n29532 33455\n10393 87711\n6734 89817\n7646 54247\n10228 28979\n42881 64309\n17244 45051\n62311 77290\n9250 25037\n42274 94978\n61967 84257\n1900 43540\n28346 86756\n20920 40019\n69376 77675\n57298 81588\n6556 26053\n56134 80964\n52398 96261\n64601 69884\n15279 97479\n310 76730\n56661 65514\n18376 51482\n42705 85692\n1674 69550\n35039 99872\n5545 82081\n41996 49428\n71029 79739\n22734 77783\n2363 98163\n33340 50282\n64890 74334\n27268 38111\n34203 65087\n21961 83162\n12028 67514\n84272 95099\n60264 68350\n66052 96999\n41421 66940\n46047 75273\n79240 92555\n27800 30397\n72205 94017\n5085 98459\n60574 90933\n34197 59532\n37819 88461\n71159 74946\n44974 85168\n86655 96730\n353 19097\n61858 66257\n35570 38281\n22208 34092\n16374 93180\n21560 77177\n6111 36421\n41759 63519\n15642 76453\n2553 75051\n23506 32581\n26106 50896\n29705 62347\n84188 94654\n5451 41936\n48219 78537\n40346 49765\n62338 82673\n12295 79831\n26555 75205\n7328 46542\n50130 54540\n56341 85649\n25474 75389\n68609 92461\n41727 45050\n32201 75063\n51694 66084\n21454 24382\n33328 99799\n26821 99940\n9571 73565\n43693 55990\n7566 87974\n76573 87851\n17668 36048\n41008 83828\n4774 95936\n38948 95156\n14240 17182\n17575 86212\n73476 89284\n32580 53694\n82024 84716\n30018 58540\n10828 30199\n81468 94946\n8321 73325\n9293 34081\n68190 76433\n89300 97991\n26849 46057\n59485 61349\n23951 56687\n18644 34276\n68834 74371\n39319 93077\n59122 94237\n37177 91723\n553 21322\n57055 70426\n87215 90152\n11485 38235\n53389 53784\n28001 45637\n260 32333\n87784 99574\n21576 33994\n92756 96123\n30933 84487\n15385 80373\n27458 34070\n15444 30492\n26244 33605\n37392 74026\n71729 83467\n2136 54853\n39922 99994\n41710 89930\n18152 50608\n59399 80217\n6438 85562\n3536 27786\n25639 44735\n1257 84458\n31265 49484\n32919 50381\n14188 58210\n56484 59542\n1495 83568\n6315 56182\n66694 91945\n78775 97978\n51198 89835\n9012 33949\n23284 59175\n11231 75934\n58293 94128\n48363 52742\n23110 52201\n53932 97434\n36149 99470\n86158 92876\n25772 40196\n31236 47993\n9324 63653\n31470 58900\n42911 90295\n25872 42588\n9425 76602\n59585 84196\n49016 84150\n10925 21597\n10769 72234\n32594 93818\n27679 61489\n73602 75014\n22291 34156\n12297 49590\n565 41050\n6979 43607\n67905 86633\n52059 79558\n59676 96080\n4643 83932\n9289 97599\n11113 69622\n11374 94425\n29416 89907\n35989 45586\n39429 74289\n12723 32659\n46834 77150\n23234 96820\n9499 32644\n19638 34502\n26271 56175\n12233 89840\n30633 93479\n11416 97275\n3818 48760\n36013 64544\n89219 90462\n24424 38142\n12599 51098\n11910 94344\n24814 70855\n20132 90215\n23140 48467\n38620 52086\n57901 95723\n1200 20827\n16260 85282\n39766 75245\n8164 96588\n61404 95022\n9887 17567\n61096 68254\n28822 71677\n31969 47139\n84493 99029\n39060 59254\n75250 83547\n18436 72239\n12887 57883\n36001 90893\n9347 13628\n34033 45206\n8974 86244\n31546 76347\n31965 44650\n361 3747\n63923 72841\n49089 87485\n35843 76787\n23345 51743\n12572 39725\n27874 68075\n15587 69094\n28214 72890\n41010 73670\n4788 13340\n19400 55490\n28866 30215\n82334 99854\n9194 10807\n23054 75151\n8050 16298\n39832 40226\n58988 66128\n9861 62325\n6166 51977\n19839 41726\n17521 53371\n31146 94194\n14569 88145\n4631 68812\n45030 67901\n70401 96098\n58106 70403\n53476 78765\n3305 26969\n21074 40980\n20494 83194\n22143 83836\n14483 55449\n10539 55192\n25434 62434\n22081 93341\n25842 59528\n9019 13840\n8433 83415\n23661 26007\n58873 85739\n33876 85342\n97813 98270\n23256 48783\n72247 82805\n74327 88634\n74414 79563\n7921 10242\n56386 62058\n22405 44458\n14751 70437\n10434 15286\n92618 96091\n65027 76006\n35135 42592\n44491 83635\n28043 88508\n21173 56527\n34515 39682\n33980 41697\n4595 75841\n17043 69713\n60189 89969\n46237 62787\n20704 22613\n14927 97629\n79027 84671\n19443 71846\n9237 38294\n4249 52388\n15142 81907\n42701 53544\n11451 65159\n17414 85904\n7416 75100\n62224 63678\n47424 92451\n47225 87103\n54864 62422\n24290 90219\n9728 88502\n35098 48187\n25773 40993\n31090 42480\n41750 51791\n22202 70768\n41735 76487\n34276 62521\n30530 99445\n44879 82235\n5986 24695\n14844 44299\n6184 9726\n8377 77550\n21282 41537\n36134 43117\n29336 63602\n20636 40608\n59708 81045\n33747 58187\n42229 74807\n22374 83707\n30834 58662\n30150 46954\n82434 88327\n10521 18285\n4582 89835\n35377 64649\n33814 33927\n25610 61619\n2971 60744\n47331 55738\n11034 36592\n56442 61567\n18772 76323\n40856 52997\n28773 46042\n49357 50040\n34669 74808\n13647 94139\n15265 26236\n17679 48045\n77975 96908\n26795 86990\n9901 29658\n33448 36103\n45971 97729\n516 67647\n14790 39025\n47399 76849\n12925 23171\n11301 98351\n4363 43587\n8774 82498\n12308 99237\n49871 87349\n20419 27989\n18535 96667\n19885 25223\n3248 43031\n39389 85926\n49043 76379\n29264 49654\n38840 79633\n56376 80574\n6764 46712\n6798 64147\n28054 37699\n56300 87728\n39875 81026\n59563 88348\n65562 94545\n89634 99132\n9822 25951\n17783 35712\n17239 84012\n77655 79585\n50214 81288\n58468 93424\n46560 56576\n9336 50118\n25225 42515\n6274 40089\n22039 80151\n14235 69252\n7278 64856\n43210 79322\n11710 53245\n44104 47586\n16883 89709\n17430 68560\n42045 47912\n15464 61768\n53951 83538\n45129 80521\n780 34774\n43451 55354\n23499 70179\n72769 89549\n44828 95025\n33860 59430\n35959 36269\n73955 86716\n72048 82350\n53112 63875\n36742 42809\n18934 50977\n14149 34127\n14408 29243\n61173 67327\n7155 97963\n51701 96649\n47976 62460\n20960 54068\n42066 90619\n15743 28719\n37311 43048\n14247 26799\n13352 93992\n24123 50186\n31947 70841\n15721 97128\n22893 30394\n15433 95378\n73285 75820\n53714 83925\n38656 87478\n21213 56548\n47785 61364\n5732 5885\n6002 13263\n3579 54215\n53168 98712\n15671 99980\n29245 67899\n5334 80142\n27444 68690\n83411 88509\n33170 74461\n90572 99097\n29743 31056\n61290 71072\n32007 89820\n16572 82088\n6831 91161\n72599 80040\n74152 80620\n1058 29687\n53703 62208\n54056 92030\n69117 89220\n19660 70705\n7449 13793\n23495 61022\n48516 92141\n34571 66448\n11568 87105\n2979 93480\n74397 95624\n65936 86436\n18570 97214\n12251 76022\n3622 67985\n55730 75768\n21592 94080\n31684 97219\n18398 38269\n6927 80709\n20796 74157\n62929 91012\n15501 90653\n9198 55794\n41185 68367\n65729 87142\n17515 26164\n40544 73233\n37847 71952\n83460 92352\n3530 90046\n644 17628\n24462 38497\n60075 74060\n75900 92804\n4504 6558\n5744 18008\n3125 15250\n45893 52320\n23579 39858\n63929 74273\n83386 84804\n1615 80845\n1877 72012\n29780 67569\n61663 97441\n35420 79572\n53878 54317\n6953 46577\n33236 50419\n7954 86077\n48831 68925\n56152 82526\n61702 96326\n50851 91241\n58123 80255\n13562 97456\n18369 18854\n6062 26618\n7813 38443\n26730 81439\n70519 82176\n55447 91326\n83608 97116\n17233 46490\n67147 68865\n13298 25561\n10058 59400\n61961 81887\n54031 56928\n28500 85965\n39247 98292\n18847 66768\n37749 99058\n42654 81658\n37255 83266\n39180 82272\n51821 66034\n30363 53456\n19729 25121\n10626 58694\n32777 51910\n4633 70579\n37179 63704\n44934 61927\n2343 31198\n30178 34263\n41800 92839\n15681 79054\n61196 69877\n4115 16199\n41915 58358\n8766 66820\n96915 97007\n45236 91677\n12792 45105\n30670 62667\n76094 77974\n23364 41169\n93762 97765\n39524 92689\n44388 51113\n55632 82170\n24056 41155\n43887 78508\n35223 84389\n9881 47820\n87004 96768\n2010 81510\n49848 94999\n13687 46192\n5147 45848\n16411 82750\n5342 26516\n27180 43026\n10319 19686\n49383 78800\n52390 55023\n43064 55407\n977 85223\n74716 88806\n71541 74529\n26704 80393\n42147 47785\n24066 85111\n40452 85701\n5878 72060\n7595 64347\n42692 50232\n26284 28249\n25050 93029\n39258 73807\n41525 56540\n13385 53048\n14358 28096\n21416 57855\n38310 70520\n45650 69624\n9301 15926\n29945 57533\n39206 96418\n38973 49958\n36165 66656\n53079 86093\n15447 29727\n8213 47747\n7848 24665\n30258 98068\n52124 92383\n42593 85824\n5670 25110\n86604 88138\n32139 41734\n12767 36693\n21550 50813\n4467 71637\n44048 95572\n49041 99354\n7437 58853\n1420 29687\n12381 75470\n6665 76404\n44059 82836\n13678 69629\n86150 91604\n46924 63399\n56526 94198\n66856 93809\n43659 47382\n75498 99883\n11253 45591\n41394 86539\n17134 40776\n65035 79159\n2885 22893\n84516 94493\n52377 98073\n74720 85814\n2805 14585\n23059 31854\n35422 60275\n28208 92742\n72806 79743\n60481 67214\n13009 61143\n4568 33587\n32072 84046\n2072 13259\n42911 51116\n67135 73403\n12066 97571\n62629 83506\n26572 98839\n72166 80344\n64825 73584\n10146 24309\n37267 77667\n1560 29933\n27089 90840\n55382 59550\n18664 59117\n53451 55264\n5835 39616\n27730 83747\n1868 69820\n70109 70910\n90163 98793\n6943 21977\n50399 67285\n55360 85760\n15508 27695\n34186 90201\n22535 63626\n47322 53312\n15452 70459\n238 84249\n4020 45867\n21476 72323\n15950 54452\n52698 68381\n68933 76469\n41582 68942\n50231 60013\n13547 42397\n30796 47526\n55884 78849\n10478 57355\n52331 82478\n57420 97243\n83986 99655\n24358 65128\n45177 80710\n74251 82870\n17772 28246\n56435 80629\n81933 88852\n3066 39041\n7869 20530\n52664 87609\n31174 69887\n21498 78112\n75150 92353\n27871 53303\n42914 90126\n12898 98729\n28852 52960\n30232 51596\n28444 94788\n23738 76973\n24445 48189\n7746 77793\n31774 96193\n3411 62878\n23875 57096\n25971 36928\n14480 91246\n31789 89422\n15511 68067\n11176 32027\n54887 80831\n72331 80258\n64708 95498\n60680 91523\n17501 88305\n53388 70535\n58463 92242\n23953 81282\n32675 39755\n72457 99685\n33409 77228\n65948 78614\n47504 78553\n26188 45916\n28252 47839\n4229 50937\n17189 67397\n791 70191\n53440 87583\n64116 91357\n27030 59701\n37711 82817\n28178 33173\n9486 57369\n14292 98426\n8027 67957\n6810 81924\n7123 83855\n76431 78095\n8469 36026\n92069 97903\n13254 48825\n81342 94710\n33087 95937\n53813 54459\n20311 81097\n59308 82624\n13611 59554\n52461 90515\n13452 24946\n36099 40891\n6688 11944\n13357 16135\n12799 96364\n9682 57131\n4320 15783\n41434 59706\n31602 78884\n12642 98962\n39395 97684\n42645 96864\n9116 44838\n44907 52529\n45228 83309\n55451 92915\n43507 65746\n46454 93320\n13546 53371\n41431 49201\n25069 32987\n11666 33736\n48546 73362\n43796 84714\n10127 80461\n80703 95606\n26333 30838\n45097 83587\n2630 27108\n52778 57041\n61267 96382\n21282 55201\n5842 53533\n94231 94658\n64224 98740\n4447 47878\n6477 61954\n79183 94074\n48692 51331\n38743 91413\n30243 44880\n6543 21716\n43079 67118\n10584 13547\n15219 38988\n16273 28997\n47568 85035\n30931 97503\n24626 61950\n17476 82227\n31139 52693\n60548 65922\n76210 79833\n8971 99888\n34403 89903\n821 42297\n4819 65288\n28870 72471\n80367 94151\n40968 78320\n42221 79833\n30210 97142\n7028 86289\n50462 72022\n15300 45174\n7491 96869\n10266 12701\n10056 89445\n42350 99303\n43851 77473\n54440 91026\n33807 97926\n36920 51236\n75310 83370\n10381 19604\n34653 38781\n34077 78389\n36451 77730\n41370 82193\n18306 65808\n3600 91519\n67342 85331\n29478 88996\n7019 81332\n21110 47291\n45076 62220\n37387 59645\n75618 78363\n81272 83417\n30157 55171\n34454 47196\n33263 76696\n45494 61648\n27005 33190\n73140 78782\n34931 85671\n13098 68695\n1847 14789\n59740 83579\n85210 93848\n63198 64545\n86243 90144\n66583 68553\n1681 86228\n17995 21315\n8405 55357\n55097 55355\n14133 91972\n34649 43325\n13559 86361\n71341 73008\n33000 64792\n28365 96308\n71372 89691\n40604 94100\n66125 77073\n31275 85156\n20954 38018\n20011 71029\n39419 40390\n28658 77760\n26121 68439\n68800 93604\n2957 56782\n58647 72533\n36394 55192\n72508 76118\n28353 35534\n26873 31014\n13808 70656\n43422 98612\n28550 56990\n22391 87113\n36424 38571\n27105 74272\n10478 36490\n20262 78542\n68421 99023\n11467 53462\n52292 54732\n7455 35868\n11715 21791\n50325 75540\n3780 33225\n74362 75585\n31376 35958\n31570 52853\n25049 68858\n73596 78488\n17263 70936\n56417 58966\n9826 24270\n38214 42558\n11748 22630\n9415 12190\n94729 99698\n8776 32247\n10789 42141\n3621 12600\n77505 86684\n8376 54396\n3292 40665\n1407 65267\n86482 94284\n1343 31116\n47644 64268\n43666 53006\n72781 80065\n56863 93719\n36481 58085\n87418 93428\n3533 80212\n80549 82911\n2246 46378\n15009 27786\n13172 75489\n4877 71938\n87643 98139\n18429 74343\n13324 16118\n58241 94438\n26095 48305\n64580 82678\n87861 95375\n62861 91373\n37291 80103\n6935 60496\n67536 72289\n53603 72717\n24932 69189\n13105 88998\n27598 66529\n75549 99352\n66724 97139\n59394 88924\n11821 33667\n19146 33111\n19123 96667\n30201 93204\n99310 99903\n27950 52657\n7440 44943\n44620 49946\n51075 95323\n21570 29499\n22541 90422\n72149 94841\n90511 94920\n32643 83356\n35347 70499\n5557 49729\n37730 51037\n49328 78949\n26025 42489\n53553 74324\n23153 59925\n71630 79563\n46738 48068\n30798 51004\n53929 80353\n83536 95430\n4377 89479\n3447 19211\n21729 63767\n29003 33122\n18071 82524\n3515 60193\n33873 72752\n31797 87978\n37463 98620\n4320 30297\n9832 54293\n58895 89798\n26477 83691\n27136 94303\n52529 64489\n14234 95131\n7150 18644\n16660 76838\n37572 38506\n55743 91822\n6539 12720\n56936 87399\n65221 81478\n75035 79173\n4751 22162\n29424 43051\n19432 82762\n49172 77065\n71120 77210\n56000 73836\n1098 23680\n4701 51743\n26170 41171\n76516 84844\n16369 96367\n29306 32838\n52913 61930\n6070 10027\n51341 90564\n13583 65260\n25081 61382\n50711 99634\n6551 59675\n19326 67992\n1733 53248\n22824 82026\n45275 64137\n33319 79998\n87396 87501\n14033 65267\n83753 88133\n3115 70129\n74883 86776\n50311 90238\n44326 76265\n48229 82213\n13916 17406\n21266 91610\n57399 96797\n4623 62633\n76878 80999\n38417 68252\n5858 47038\n588 93387\n84645 88592\n9924 12171\n452 98365\n55642 87638\n26482 42024\n4453 21299\n56124 82697\n2605 18799\n56517 83865\n83518 89089\n87572 99405\n53518 80016\n23209 28064\n75591 79616\n43810 92662\n8704 74758\n24325 88932\n11572 67560\n48984 80598\n58949 88430\n25879 78997\n76273 93417\n58328 87425\n25514 94217\n94715 95146\n36110 73133\n10966 50540\n25685 87206\n1573 93168\n11293 29837\n9355 56516\n57172 90441\n31148 87765\n29300 76071\n35603 36436\n20019 36018\n49499 96214\n4260 72860\n47075 98060\n15731 68193\n5019 74036\n61154 70592\n14409 53078\n39514 41244\n13155 23044\n8046 58459\n46273 81115\n947 34706\n11538 57778\n22727 41687\n28170 49961\n71149 84292\n16323 41378\n50197 75914\n52847 98679\n50664 63386\n66829 66891\n8487 8928\n72044 90353\n63683 82826\n40545 70760\n66830 92170\n14560 44397\n57772 71671\n7437 71106\n77597 91049\n29219 39977\n47535 76027\n13851 50992\n48402 84338\n40529 85620\n30154 68756\n64663 65616\n56973 91417\n42711 92797\n23798 84277\n38188 75308\n57104 72744\n32823 37190\n9798 29316\n33279 65803\n5668 52788\n27590 97737\n7113 91972\n87716 97598\n3539 64370\n3642 12997\n80509 91658\n50502 74605\n33749 69589\n15026 31042\n37843 65693\n11580 61541\n18027 60190\n1767 42079\n15244 43836\n6513 11561\n94278 94292\n67712 78172\n8013 65476\n52953 80286\n49194 91418\n89514 94633\n45260 89101\n6048 44728\n44967 68585\n60282 96560\n1565 35986\n16920 36793\n23614 27461\n15951 74052\n49780 65456\n4955 50611\n18479 36067\n25700 54213\n554 62411\n38730 97017\n153 84220\n5149 37835\n47942 85256\n10994 11682\n6112 46453\n73869 81908\n13553 99731\n64134 98560\n9513 59770\n39362 63985\n75498 90215\n45270 94751\n16578 77358\n20262 41265\n20533 61066\n3884 78539\n29981 98157\n3142 72524\n94154 94214\n46920 71842\n20179 38628\n5334 17578\n73951 96883\n58270 71589\n51025 92020\n52357 93342\n31982 53051\n29071 48100\n42719 71883\n36685 68655\n59830 72130\n11481 63227\n61989 98170\n15628 25866\n12639 88030\n20295 45671\n36389 68170\n38063 68204\n14274 73340\n46262 84849\n45862 89354\n67829 92261\n6917 99976\n38100 58061\n28612 94218\n45830 56336\n64424 65893\n22877 33221\n38719 55602\n62152 75313\n37062 91430\n21407 38446\n13304 56430\n85181 96080\n47467 99106\n27225 57288\n56302 67529\n20520 38799\n6891 89679\n35732 78289\n34983 85328\n18052 21592\n4296 49256\n22325 70598\n15179 20380\n81097 83303\n80837 95442\n20029 73871\n24898 93718\n535 43503\n30612 97589\n20195 78694\n41576 47545\n1016 10583\n45052 72144\n58758 59141\n9270 56016\n82897 91859\n22304 98499\n12188 56903\n25633 44249\n22144 22263\n78223 94350\n25133 56851\n44309 74776\n20766 54861\n21210 29427\n14095 51765\n42848 69066\n77295 90159\n49974 95005\n56137 90941\n52064 90138\n37162 79757\n84793 85052\n12612 14497\n25125 86804\n4355 82122\n41471 95033\n5378 95373\n540 55771\n73985 97144\n13298 64329\n9785 85706\n37035 47006\n77112 79465\n43341 74180\n42294 72008\n68818 89879\n47844 84562\n10625 81635\n51580 71023\n52422 67191\n15374 53729\n56607 86975\n31625 91361\n55288 67019\n16023 28696\n6721 66237\n15583 99554\n44551 58288\n36950 99196\n5510 24619\n44909 45605\n62648 80816\n38069 64988\n54614 97220\n13557 24445\n42135 96830\n27349 95777\n1412 96871\n33612 42003\n13864 52318\n22257 24182\n31205 52713\n4501 56875\n45161 98533\n6770 83395\n41170 50436\n36808 40660\n33829 34743\n2318 73116\n11644 49777\n52567 74840\n48761 63252\n36689 67939\n58041 92643\n31084 95731\n20983 97379\n16104 53020\n23167 95051\n10543 46938\n1862 75800\n11573 71621\n78050 85436\n2842 40090\n43000 85552\n16412 98789\n29129 34669\n24779 85981\n82627 91843\n35160 82082\n8013 81751\n25192 61167\n24151 83992\n250 64994\n7008 49142\n59016 63626\n19617 54270\n89761 92635\n18383 72019\n11792 17202\n14592 96484\n25262 97105\n14114 52307\n72887 79457\n28984 87708\n29099 71111\n28042 72044\n27519 57071\n32846 84199\n24331 29337\n882 6761\n5802 84069\n2059 96430\n61391 82892\n16491 82276\n28063 88003\n3414 54609\n51257 63188\n14071 91653\n35931 59110\n28137 39407\n62112 78085\n37381 55229\n21238 43174\n22684 87059\n67013 74469\n54032 70548\n32636 90346\n41417 44842\n4164 10607\n25184 39918\n37310 93559\n60450 91193\n2441 91711\n50879 81706\n47211 57091\n17804 72680\n32174 39061\n26620 46233\n1775 26741\n44390 53632\n18702 57503\n25716 68733\n78 9723\n72928 80790\n2953 21490\n7172 55880\n12377 70919\n4255 35312\n28138 46136\n5726 68301\n61391 90640\n44274 71044\n13353 61171\n30772 64694\n2980 90987\n32224 39367\n82093 88250\n24126 91582\n55004 95256\n2484 22410\n76827 89092\n33236 45319\n16811 66592\n4588 22832\n33540 94368\n8576 19719\n15352 28150\n19313 79190\n54419 90804\n47474 89550\n6385 77851\n50608 59026\n5196 23917\n31258 83410\n34660 37683\n37777 68112\n40529 90406\n34133 44701\n80554 82930\n42086 83307\n34415 71981\n43461 75673\n20185 53334\n74370 88595\n44216 75187\n9171 91154\n9024 91969\n49554 73368\n65232 83934\n14856 36477\n48266 56759\n1254 36366\n776 77185\n30616 99878\n60670 82109\n23560 72164\n26052 88288\n51792 71914\n37428 76898\n72171 93620\n3790 26282\n52380 70086\n21183 67127\n55216 84407\n9553 80197\n21757 49102\n61293 67912\n9852 14255\n29358 47447\n19853 23353\n47626 99849\n73093 89371\n10835 44355\n21633 70431\n49398 91909\n56392 88509\n51766 76571\n57937 85297\n52110 97136\n52628 98358\n74979 83446\n14831 15371\n89466 98519\n55854 62745\n47311 72650\n27912 94489\n44216 47458\n93825 99129\n19535 63529\n35221 98583\n23428 82941\n45996 53652\n3248 36667\n26012 61756\n58981 88585\n32961 44247\n39939 67754\n3486 78618\n50039 53394\n15359 31329\n19220 47600\n34391 51337\n42770 52480\n29927 57143\n1555 12674\n35361 85885\n49568 71398\n60361 69931\n4724 5670\n72505 74928\n38738 79677\n38526 86379\n10512 82382\n2218 20564\n9739 26597\n611 31496\n17931 40531\n40790 45139\n50601 94392\n11057 21999\n389 76772\n17988 18462\n3469 58520\n39816 55169\n79487 82095\n11274 77341\n19990 63980\n60600 92378\n46584 48719\n14449 16404\n11074 81499\n58156 73699\n32843 95805\n17877 58647\n36373 86216\n85879 99241\n34622 49459\n49239 60998\n43418 49279\n33692 39482\n48486 67001\n18439 25366\n7016 17224\n1940 48720\n66611 76394\n39635 60713\n10673 31570\n63078 84525\n53696 89695\n81169 81195\n93695 94771\n25338 89952\n9096 70363\n63286 78684\n34224 65226\n366 6286\n69737 94657\n19894 65088\n67102 78402\n29085 68070\n75769 80203\n30417 79598\n20329 87042\n22438 26435\n3422 25174\n22525 27386\n14331 61641\n11461 69455\n77660 94386\n24639 55375\n64998 68100\n66474 73226\n23841 58685\n9305 97215\n33389 33936\n6991 13153\n28656 83096\n39770 96124\n73796 78430\n8272 35041\n6032 64287\n31181 54732\n43142 92257\n26045 88094\n77539 93295\n3743 88563\n5250 71543\n44212 66687\n3993 31319\n10683 52258\n5381 86413\n17239 79397\n18010 72821\n21390 66587\n61907 71031\n29801 31308\n26898 27789\n38116 81901\n32983 56802\n12051 87744\n35619 61552\n27757 52929\n26931 80516\n667 57314\n7776 7977\n26023 48570\n70801 90114\n30784 83164\n4715 64097\n5418 20120\n18268 96044\n83763 84135\n70448 97011\n6922 89901\n29559 44457\n4221 97202\n13135 40033\n44321 75095\n14596 82033\n76306 98347\n7870 99510\n56675 78998\n26745 74331\n2716 14825\n44343 48703\n6123 38614\n17925 85537\n14191 90217\n8279 10560\n17834 39782\n11770 41491\n15208 40347\n36322 41702\n74607 83581\n30233 43973\n43568 90004\n28596 36800\n12171 67922\n56792 87121\n7590 77418\n69453 97208\n29451 78549\n29278 67030\n30490 41981\n27276 87065\n38921 74622\n15563 34955\n4634 61058\n78345 92615\n50384 97902\n11396 95478\n51316 59991\n62556 83213\n7417 24456\n9564 46595\n86496 87115\n14863 88470\n22780 72814\n50671 54337\n48497 48952\n3638 52257\n7344 91444\n4909 58426\n48933 74985\n40813 55963\n17781 80320\n57979 58966\n32737 33463\n18189 30936\n24851 49625\n32702 90758\n82192 93684\n12326 59192\n480 48111\n563 19695\n46616 61492\n1077 85371\n75494 75599\n46949 55604\n24724 64239\n48507 51541\n76808 84548\n40306 67612\n27055 79897\n39299 53761\n23622 84867\n5102 38445\n24722 61325\n14764 77281\n52244 54921\n19528 41725\n27612 62926\n4689 48549\n81833 96927\n5825 54103\n47172 66270\n27391 88939\n6665 33153\n40431 96083\n25736 32169\n38843 59839\n36943 79241\n86680 88678\n60313 72124\n68454 73440\n37807 54473\n25102 70763\n38023 73458\n5374 20716\n59836 71805\n70136 92249\n27385 66949\n11383 36491\n51340 71575\n40664 96093\n23854 79367\n19791 70579\n43281 75388\n50103 64073\n61634 86223\n48726 53573\n31024 53542\n7876 93917\n10046 61016\n49232 62640\n18404 91502\n11011 52920\n34779 46106\n49966 82500\n31974 97622\n10933 35689\n82886 94215\n40004 89458\n19404 19708\n45248 46857\n19509 42066\n66937 96140\n33521 43623\n12976 91519\n16046 82012\n26390 79073\n38617 92561\n64212 74599\n68119 83078\n46690 50795\n24855 84659\n31185 83470\n58740 67576\n28380 87955\n19113 62248\n31134 75446\n6964 43144\n38547 95598\n3126 34297\n13464 96686\n8 44277\n36933 78797\n17267 45185\n11017 45483\n77133 84556\n5003 69645\n10402 16511\n49728 50852\n40782 44117\n13842 34103\n19916 39962\n42995 99181\n81347 96600\n22554 67893\n62557 97507\n9876 22979\n42290 81477\n47941 75936\n6702 17687\n66032 88526\n55505 76709\n13535 62057\n574 85257\n43880 60251\n20350 41822\n41839 66411\n25250 74173\n10847 97560\n31635 67818\n58910 59004\n29881 65980\n19362 94491\n11671 22392\n1249 86176\n41096 76885\n42545 63946\n27924 96073\n44083 71130\n522 56346\n4185 55698\n42221 56066\n55469 85393\n67789 73553\n38753 61992\n8820 77735\n15525 63896\n68243 96391\n25209 95321\n3976 46231\n17509 38712\n24089 66577\n78670 99090\n18666 85148\n33054 70806\n64108 97793\n27851 75342\n24836 77505\n20211 64325\n3135 70336\n61335 76002\n43486 77600\n53784 95830\n22859 43523\n11029 94231\n9154 70814\n68991 97638\n419 84781\n11645 30546\n26033 88570\n38825 99473\n27082 84416\n64779 78399\n7947 58494\n7121 88196\n48212 87744\n5326 33611\n55262 99332\n11896 87065\n75354 94263\n44669 59298\n13097 24032\n33194 87223\n19889 80678\n20771 50869\n61563 67397\n62069 73871\n17328 99624\n16863 70382\n39827 91799\n23930 87247\n10770 47751\n48542 52392\n32162 79418\n41175 56268\n7657 57900\n65846 67022\n27860 99785\n19704 42364\n10481 72086\n5461 59801\n17688 28055\n70923 98751\n53711 73515\n11642 12395\n56381 62822\n30819 95794\n17577 18668\n60974 81600\n56374 63892\n9228 68614\n6359 56084\n14974 71994\n30782 36438\n44544 71879\n15271 98768\n8507 33841\n20385 56246\n50464 66601\n82571 99675\n7088 99808\n85266 94898\n61541 97735\n1371 32578\n43514 91910\n34375 52389\n61884 87802\n55359 70142\n2441 24281\n81185 86120\n41982 88657\n23759 85772\n74983 86036\n57081 98701\n72729 79084\n12364 13691\n53103 91129\n3694 90754\n37254 61551\n26677 68239\n19909 78908\n11667 95394\n47167 76590\n35635 88295\n32292 57706\n14433 16270\n51402 64567\n6029 67972\n15082 59132\n14483 72543\n55009 71431\n7830 14509\n40597 96587\n36700 63346\n41786 68781\n6094 27381\n16810 48985\n42426 89757\n35379 82268\n27032 30230\n29526 56414\n19970 72109\n31717 70824\n34008 48380\n86723 95113\n41748 87949\n46349 91757\n42175 68565\n42212 62772\n24535 35229\n12420 25732\n8726 25069\n7510 60752\n34890 36857\n5457 75337\n48202 88985\n14966 93065\n27000 82215\n46001 98608\n19132 56762\n41911 55808\n50707 55092\n11182 11856\n45318 59849\n23196 44488\n2470 74740\n90323 98181\n25974 47759\n8922 67432\n42131 67928\n7932 39170\n29372 51132\n12772 46744\n5918 15807\n18409 38136\n20144 62719\n31491 32009\n8664 72254\n7264 41033\n86617 99642\n4746 80806\n51854 68626\n17758 86349\n27081 38037\n47942 49104\n31446 99530\n8054 36406\n36914 42285\n532 20007\n65975 92322\n73526 78809\n27146 86547\n2533 52583\n62425 95781\n39094 50317\n35656 40543\n6681 18570\n51143 58021\n82474 82754\n19233 28862\n56368 62364\n91206 93063\n66496 90530\n67550 87610\n14640 16839\n24665 25910\n19400 38069\n76707 88549\n61227 81044\n24629 90146\n19745 51433\n28037 98606\n40705 69121\n39595 92452\n12781 82908\n34516 73666\n5546 6872\n22484 37518\n35059 88913\n37827 64882\n23192 74156\n19410 23844\n26013 71304\n52078 99339\n9624 83174\n8132 44275\n59277 65449\n47516 80018\n12324 19494\n42940 51724\n48568 91245\n18426 60692\n40624 47352\n24542 63124\n17432 41605\n65444 66466\n17949 77608\n7333 20078\n25082 61620\n36193 39911\n89571 95117\n24774 52184\n49948 84374\n5982 63383\n27873 73939\n41309 54141\n54643 61812\n36643 65740\n79331 93530\n2726 49118\n7432 22499\n23327 43319\n1221 70129\n33332 70995\n63978 86327\n526 97834\n68736 84984\n35132 65824\n84964 89349\n77636 81171\n29957 93440\n74387 75373\n2214 10061\n64148 90812\n42224 93101\n19795 42999\n68226 92974\n43624 79009\n3786 36605\n15590 87855\n9506 22781\n17843 39792\n36769 43243\n11851 13312\n22642 90394\n25880 88190\n1635 25948\n86900 96439\n54484 63325\n50972 95320\n73014 76376\n43319 46892\n44625 97491\n32988 84603\n90456 98114\n27034 32346\n42089 52913\n33498 50006\n27275 69744\n84815 97735\n14503 68808\n34880 58651\n800 93056\n17921 35695\n84978 88250\n48980 92139\n29542 51900\n17068 81938\n7837 93515\n65983 77770\n44080 72946\n20770 75835\n37254 83711\n28851 79803\n36650 75782\n80993 99674\n4860 6202\n11102 24593\n17028 81414\n90347 92717\n12205 80679\n30867 72972\n3888 42074\n5956 28963\n28108 43925\n84566 86664\n42648 83940\n31091 43866\n33092 76335\n73441 94349\n1014 34295\n94280 96669\n33978 55357\n30391 41716\n43136 95495\n24559 56520\n5533 19949\n34791 51378\n17297 93013\n10091 37580\n24326 45970\n3478 60101\n10336 46599\n93272 96205\n36903 41454\n57393 74456\n36592 94390\n16455 34996\n51780 53090\n34951 65681\n67760 83777\n9751 16377\n31397 61402\n28074 48060\n31284 49431\n25069 89680\n53596 83946\n15103 31720\n84346 87216\n2305 76698\n8695 24498\n48191 93574\n10084 58526\n31889 86538\n6299 52219\n49121 66221\n11724 28547\n66397 99752\n37706 80057\n19841 91310\n11630 83824\n88868 92313\n17452 73650\n31475 64487\n4357 94285\n51713 85460\n44216 48226\n35681 74585\n82502 96866\n42454 92798\n8306 16231\n32642 57600\n24478 84137\n36599 77034\n8142 98766\n92530 97664\n7177 33106\n13096 86251\n35661 69715\n74417 76982\n6444 13454\n608 26710\n76927 83886\n2984 19045\n21530 89029\n48903 56451\n30829 65771\n8721 61098\n77499 80643\n24357 78437\n73588 93517\n25374 63157\n34271 71766\n26672 88869\n27700 58571\n734 42119\n58352 72617\n36309 58328\n46433 66722\n32146 47177\n31173 46852\n25871 74220\n72310 99656\n22748 80514\n3634 32947\n14355 91343\n17104 26375\n36103 46952\n25558 49133\n74245 97847\n22974 51567\n3789 26830\n2182 8979\n57397 89142\n16205 45814\n6162 73191\n4984 52902\n4891 21093\n27040 95575\n88061 89254\n21926 67205\n40482 64799\n4885 60585\n30117 82317\n60535 83985\n25860 76290\n44405 60178\n22931 38381\n56411 72497\n7184 61168\n282 11257\n20938 75563\n36171 44180\n11688 29505\n45819 70690\n39160 42408\n28189 31794\n25148 34641\n82553 97346\n28292 62356\n59835 68010\n49878 58298\n11819 14544\n3852 59610\n35665 66451\n6235 67245\n44619 89835\n47845 92229\n31451 31986\n1686 53828\n20207 77620\n21562 37013\n26717 49729\n28158 54719\n4002 46710\n2019 38784\n6991 51314\n25910 66877\n2755 12709\n66035 76533\n13275 38240\n3989 52946\n14977 64700\n56002 60095\n36656 71469\n28473 63867\n18638 60529\n12664 85371\n57911 94340\n20991 37679\n56902 98610\n8886 39684\n51852 57111\n19465 96148\n4621 72880\n31298 45365\n46112 89988\n44600 53241\n2169 24808\n6349 89651\n69957 96742\n4836 7640\n24823 49239\n14338 51282\n30730 71922\n24371 66988\n17394 88130\n83104 93885\n60781 83086\n56242 81376\n25298 25853\n45282 71007\n82071 87109\n65693 72278\n787 83506\n21082 84861\n68387 95873\n7184 58192\n10217 52780\n9087 63497\n55175 94080\n23009 50110\n99093 99695\n21698 62847\n23035 89523\n38267 94033\n76414 97997\n19202 36570\n2423 97858\n38271 99452\n8327 48302\n86920 96458\n45006 94136\n38172 56612\n64409 93903\n7709 85329\n7460 19129\n42528 79934\n72740 78310\n43489 57212\n18243 67635\n13549 76321\n17177 42822\n41014 89716\n26333 42541\n19585 32282\n26 21648\n58874 82844\n18911 28770\n111 93853\n61285 64741\n46449 75276\n55287 90937\n954 56013\n350 750\n54646 84892\n40535 43337\n12755 95674\n17866 50757\n44041 98872\n67009 79624\n20152 41143\n17279 78859\n4603 55606\n21109 68863\n57169 71308\n2431 84411\n3730 67779\n77527 79716\n6269 37670\n45897 78121\n44066 57408\n32295 61445\n14679 30723\n29010 50931\n10287 58576\n38203 61683\n16605 58837\n5489 26609\n56389 75742\n50701 80149\n22042 85124\n51904 81885\n38071 52309\n23191 62846\n42399 47157\n47070 56506\n70245 82519\n23345 44294\n3253 68871\n26750 54364\n12353 60281\n52073 72377\n29013 87446\n43059 89425\n6576 70574\n30140 47844\n435 47334\n50580 81644\n23515 46851\n764 95771\n54684 79031\n22710 98219\n31195 52657\n39359 57601\n16848 19286\n75089 98999\n37366 95031\n62350 79717\n24935 94701\n50674 99088\n7490 89979\n12847 37396\n32712 70241\n61910 83627\n52018 98425\n1030 77929\n80095 90219\n8834 19342\n75340 93205\n91029 93658\n68541 84197\n13948 99029\n9360 20410\n81737 87365\n36799 97397\n16699 88694\n4968 47299\n61298 78911\n43573 95550\n73078 93805\n36678 85943\n33881 92672\n26235 68011\n85784 90428\n11883 70751\n62317 76076\n48075 95433\n45188 83192\n67750 84311\n50089 82579\n14319 31578\n34651 90621\n35211 95152\n33327 94420\n55 21726\n21208 62428\n18829 99395\n22123 53265\n6686 98567\n39133 90428\n70423 81498\n46659 53687\n9981 60680\n4175 74264\n6786 21504\n298 1615\n9022 35201\n20894 21617\n1508 42944\n40589 83138\n7891 10759\n71562 76682\n2870 94040\n5929 36105\n25576 84349\n11452 17250\n53387 65983\n91203 99000\n34263 69084\n9699 44466\n7846 28014\n17434 54345\n71568 90136\n19001 20663\n34097 96455\n84533 91592\n63367 87602\n22877 71679\n20621 46410\n11052 41029\n46458 97519\n7268 13999\n34860 95448\n9946 23220\n43921 49477\n77154 93106\n15959 93042\n20275 48093\n19745 80349\n31539 98053\n7352 22318\n18784 53025\n72562 94187\n8342 80047\n69749 80233\n1720 39649\n49393 74777\n32096 73055\n61160 99190\n13715 28335\n69210 81669\n12457 97451\n67283 91320\n23540 94346\n2712 87735\n10910 68073\n39168 55866\n26687 62953\n74799 98035\n37143 60395\n16433 96197\n79114 89398\n11493 56892\n43504 94730\n84744 88493\n12786 34852\n45759 80092\n49588 68123\n19864 97025\n47215 92414\n22750 51939\n6359 27474\n54003 63404\n583 52626\n38682 41022\n7263 72947\n49958 79973\n11679 41122\n60652 94122\n61136 61492\n50756 75659\n16230 65253\n8903 77154\n57685 89429\n12210 84101\n9106 80384\n55916 95174\n20093 33569\n6036 17366\n851 89747\n48805 73669\n31295 52592\n30352 89486\n23598 58539\n14619 16287\n39725 76626\n27813 64656\n63324 90395\n2234 45814\n1561 96457\n10195 84351\n12370 49215\n5237 45228\n71386 79181\n25643 38736\n37302 53196\n416 70473\n64724 93685\n56308 83407\n1191 17027\n28015 68511\n32390 68773\n19847 70776\n2510 20585\n19172 53006\n79936 82050\n4811 84804\n22068 65854\n13862 34921\n4565 24212\n67278 98947\n81376 84995\n67422 71850\n6071 15318\n2026 26395\n53551 66282\n24489 40733\n7945 26629\n14378 70793\n20423 95944\n42165 91777\n88878 90330\n18563 95306\n85380 85604\n28423 60505\n47260 87297\n64026 81598\n21912 94156\n59835 69612\n30294 66732\n19898 61093\n3148 74115\n39479 86188\n12416 26909\n31093 94950\n68612 93029\n59221 83066\n12777 63633\n5413 95340\n73818 76649\n74004 82332\n33309 55439\n56515 57896\n6131 34231\n45601 55152\n46230 48248\n33757 67404\n33624 40805\n3662 49989\n30854 42724\n16096 37415\n29855 95746\n56735 78378\n44030 45080\n79077 97701\n23644 64281\n28743 41547\n44537 66638\n66313 81628\n22491 49470\n53571 66008\n50464 78449\n12304 61853\n18941 58007\n17127 64302\n7761 28680\n31307 52130\n25499 69532\n300 55733\n45480 89242\n8615 97422\n39094 78848\n44820 98208\n45008 47162\n84227 97959\n7216 68215\n59396 62936\n83708 97629\n22829 62401\n68224 77752\n11483 53055\n12496 60961\n82397 90702\n8284 81215\n36224 59756\n70207 80848\n1573 69939\n58028 85223\n52287 99695\n19854 78794\n66264 66736\n25295 67450\n63214 67472\n23700 34708\n76617 92934\n43069 86657\n61727 96423\n36248 73152\n27043 32640\n74848 85336\n51446 85801\n6624 83978\n1440 13771\n52695 79035\n82062 93481\n31125 47318\n31275 96088\n45875 79350\n67576 84862\n31663 59310\n20728 34055\n22601 88832\n37978 43290\n7768 65649\n62176 92902\n40471 83574\n81779 92361\n6097 90828\n2811 45320\n52908 55624\n41773 57895\n20295 39692\n35499 64595\n73368 89269\n24741 93483\n79712 90798\n49109 58499\n457 59896\n6919 35945\n2956 82301\n48835 85313\n26837 50812\n25281 62840\n9079 44925\n17845 41584\n1860 67895\n42511 63494\n65487 95646\n33288 80324\n74233 88651\n7941 34651\n74749 79687\n36433 85113\n58696 95447\n89718 91887\n5297 41197\n21410 98906\n35456 93003\n11771 52140\n64513 80838\n84108 85801\n77490 92413\n46041 72723\n51271 54141\n68713 79520\n5666 71433\n1495 43812\n69839 97833\n3088 94922\n4639 10202\n47983 92968\n14357 33723\n58995 83120\n45280 48569\n39450 39493\n77027 94248\n4761 29306\n9667 73409\n22040 56228\n17743 26228\n37575 39464\n74032 87395\n51627 93785\n31869 33869\n34773 97100\n12930 32808\n10775 50469\n53157 54903\n14763 72943\n840 22319\n33550 47020\n37376 62588\n13205 55209\n5609 6255\n55592 56930\n12254 46354\n47882 56108\n741 53392\n30852 81847\n77922 79748\n6322 92365\n1700 69755\n37612 56511\n23939 96181\n4192 33301\n47673 63987\n34144 82917\n13447 76637\n25074 89308\n9303 46856\n55297 68794\n27994 76136\n28608 96706\n50472 96400\n9098 30292\n10842 57244\n16961 62184\n14100 64537\n7080 81063\n37388 40704\n42343 50056\n55784 86076\n2686 11942\n73110 76650\n6459 60990\n73007 89765\n39090 87492\n26534 92538\n22573 76463\n29009 44403\n75026 76940\n10278 58922\n11341 35388\n58717 72242\n23525 72439\n13045 46907\n35552 64409\n25500 63884\n38621 47655\n27018 94463\n74757 94312\n4552 93006\n24235 97112\n26244 53743\n29847 33709\n23907 37638\n64718 76242\n56784 92882\n10203 87981\n63877 90548\n2244 79181\n52873 67138\n1929 75579\n24015 36827\n29564 87318\n36863 62098\n20592 77549\n48567 64792\n46678 73733\n37482 94942\n84391 97359\n53730 83258\n21411 59398\n81170 90809\n63736 68945\n4500 13857\n58458 60789\n37565 80252\n11141 52135\n2029 31608\n9057 98135\n57605 79403\n63897 94964\n38815 66853\n51083 54769\n54312 54505\n26905 44379\n10379 86674\n38710 62233\n4490 27166\n93013 94980\n47017 58010\n40074 45377\n30479 80083\n45549 59816\n6950 33855\n49754 59299\n48877 83817\n21399 90980\n48099 58948\n73240 94573\n51181 88981\n96 8782\n21725 93367\n50657 57307\n43778 54560\n1474 27893\n43962 70807\n32540 96448\n11155 67609\n22901 91808\n35477 97533\n20859 59990\n54284 55951\n50954 52851\n53625 76201\n448 27212\n25384 36984\n40858 41109\n29314 93097\n22340 69341\n51913 58149\n23687 94205\n51384 71352\n61645 77586\n15587 46377\n22872 47987\n50101 76199\n17636 42303\n42105 77099\n30794 96809\n15195 37100\n59842 78282\n11633 19510\n39854 47381\n29109 43755\n36778 54966\n27519 28474\n42429 76170\n8470 96624\n48659 55837\n7527 81887\n85096 92330\n7908 31765\n36691 69012\n46024 69188\n88 44374\n37945 99076\n54148 64688\n95803 98602\n35612 96043\n3627 90140\n54501 85777\n60721 94453\n16137 19849\n39598 91093\n47124 47876\n9005 29945\n98768 99836\n19574 81649\n56178 69338\n10964 84784\n46569 81552\n6308 60932\n82731 98139\n65699 78023\n62073 96715\n4763 74073\n6705 69961\n12348 80414\n12330 81498\n86785 87302\n41146 45786\n67180 89004\n6670 12154\n32565 78001\n13308 98321\n57394 90825\n25508 46365\n66903 88839\n11647 79984\n8912 39620\n2674 79343\n2929 52093\n1183 84294\n74621 85934\n17139 58366\n35207 77984\n26732 27436\n13473 90097\n29933 86291\n39862 50580\n33724 76179\n89015 94124\n57151 70236\n27544 93929\n56373 97034\n39619 60723\n2857 20425\n40857 52822\n57082 69958\n14731 58648\n61431 65130\n43872 94683\n21835 50161\n45253 57879\n49650 80127\n21268 76679\n33715 76247\n31586 70669\n24412 78689\n33905 75093\n37560 72698\n10890 12767\n35389 55810\n20091 27964\n58551 93921\n17827 72035\n37234 68285\n27295 36468\n51303 68633\n35682 90278\n6084 80733\n21239 56632\n26585 85545\n43764 86638\n23408 33676\n27347 78627\n8204 63741\n77858 89524\n20248 26425\n28018 43058\n69315 74646\n27594 91969\n18075 88896\n2439 95384\n56139 69351\n90909 96914\n6045 48502\n9490 34750\n26695 92315\n16793 32266\n63384 76179\n5306 57668\n14751 32613\n173 65615\n30941 45328\n54554 61405\n608 91359\n530 11726\n1075 66852\n7453 67471\n27050 85725\n74253 87158\n3923 97252\n2091 16722\n26194 87714\n44643 56249\n6222 46492\n53599 64649\n44576 74595\n19154 37924\n90337 99410\n15689 20951\n56499 98251\n19681 81994\n21453 33441\n22048 48557\n11868 82385\n70714 93332\n56930 87613\n21737 90929\n22162 42030\n3268 21741\n9674 89087\n14384 15906\n6708 93991\n27386 61302\n9549 12696\n43754 47171\n17762 87891\n2932 25502\n30152 96349\n74428 89763\n40596 42466\n7602 32303\n63306 78979\n87358 97007\n33672 62541\n50326 56942\n35574 50693\n63004 98301\n8205 67051\n30944 70148\n25989 99576\n50623 77511\n29239 91814\n52803 58067\n71247 93814\n35905 94966\n21639 74569\n650 41890\n7608 8064\n5876 48510\n54332 55710\n61702 96683\n22719 75072\n38504 59509\n17304 20743\n35034 89975\n2316 44188\n13133 99913\n10613 68077\n40646 81625\n58895 99413\n63239 74528\n17551 23275\n65685 90931\n59244 93017\n36801 69113\n6457 86543\n9773 90271\n3193 53452\n22726 68710\n3274 41395\n59804 77906\n22303 72525\n40654 65785\n1143 98925\n3430 30978\n8498 67728\n86241 94736\n5971 87423\n7617 20947\n30097 97444\n26709 88196\n25295 46154\n22777 43781\n31831 67829\n484 14570\n11477 93403\n25007 73673\n46099 93423\n20459 30529\n67413 76941\n44241 74127\n23117 48322\n2252 72854\n68878 76073\n77976 97038\n67325 70134\n23228 31912\n79211 84964\n67883 91856\n63969 67511\n52594 81934\n43611 67120\n9629 43635\n52798 74610\n88616 95422\n18091 62626\n41239 43562\n3517 7511\n47131 93816\n40370 75507\n819 42902\n6503 74884\n24350 38535\n7279 12681\n91951 92415\n11828 87807\n1532 60446\n32802 51415\n3780 71805\n72801 95689\n16347 53556\n44475 61636\n71797 78486\n34672 44340\n35217 80920\n35213 53869\n18845 95515\n25906 72168\n10690 42392\n3807 61224\n34187 72523\n57193 76343\n42883 55604\n31480 48598\n38722 63622\n44096 51631\n2379 85171\n2344 66467\n427 80666\n10733 49533\n31447 88898\n12114 44861\n17361 90532\n10462 15904\n7463 79060\n16030 37413\n26588 72596\n12772 93052\n5156 82598\n21846 65486\n47849 52348\n14445 88583\n32119 65422\n6975 10784\n48761 91613\n56101 77921\n27408 80121\n23230 37626\n22520 54167\n1636 58759\n66348 77458\n17582 26072\n16636 51966\n4505 19576\n1040 67834\n75396 97881\n50740 98926\n4651 18762\n52012 85502\n20110 59390\n9408 25029\n79550 91719\n42104 70125\n4919 78266\n2113 46659\n52075 84498\n15803 72437\n62990 89749\n46236 77130\n2311 25748\n53600 67050\n23135 48303\n16208 45300\n10420 45135\n78962 96094\n42181 64153\n13117 31874\n17564 62173\n35011 54369\n21136 40988\n44529 73462\n19202 26192\n69175 82739\n55713 94972\n5535 6025\n8607 78275\n75654 82395\n11137 94252\n26801 56358\n14837 76279\n56215 78763\n40410 44610\n41441 44458\n54376 66088\n15359 53152\n36488 72645\n16105 59059\n2134 8165\n20269 57237\n3829 79662\n20476 27769\n19943 85785\n40160 75034\n11081 89731\n42115 68950\n34181 91047\n25730 76189\n87189 89157\n42809 73338\n61829 92685\n24581 87563\n2297 39425\n15395 32280\n15531 33266\n92407 93620\n20363 92932\n48400 85348\n46687 94803\n19860 25568\n59874 90011\n9504 76554\n707 16313\n2015 35481\n1008 40527\n143 28208\n71652 89959\n14191 36699\n7762 73841\n77000 81898\n41821 97805\n8140 63125\n59634 88881\n41200 45042\n41336 63158\n24743 65302\n272 8137\n48222 63502\n43480 78115\n6915 83897\n3154 54792\n4802 38592\n27663 63858\n92336 96173\n45316 95958\n63140 76435\n29096 51215\n38443 79024\n25221 45779\n8377 93052\n33042 41963\n84489 87313\n19621 68545\n24229 29883\n48529 99919\n26707 41256\n44894 85837\n47483 51294\n983 92916\n27870 57437\n76118 94626\n32802 87858\n22277 45060\n58821 96263\n8108 84389\n23892 86650\n268 22045\n3080 84314\n45036 95533\n24960 36297\n21693 57647\n7170 11942\n19248 42302\n48022 62418\n1811 43699\n63300 86230\n71989 93641\n15752 50125\n66266 77369\n66122 95390\n83081 83624\n80370 90912\n34414 80570\n38498 39392\n55351 68658\n84561 90837\n2806 49255\n29143 64651\n38099 97068\n33834 86132\n12248 28966\n30538 97757\n35822 91894\n68192 86667\n53779 60918\n33155 98532\n90 9432\n16712 93915\n41268 92999\n37980 82609\n17247 50705\n32504 81751\n69388 89949\n57119 90232\n79301 93985\n34011 75086\n56269 88492\n16785 18355\n57051 90695\n1150 34599\n5340 87631\n52134 61807\n18461 28069\n28292 50049\n35934 92613\n19105 93268\n50018 84080\n31131 96660\n441 4747\n76852 95822\n91829 99963\n42631 81356\n45578 60715\n49337 81963\n21040 98780\n43732 98857\n32007 44984\n28245 83054\n4249 19832\n20730 96254\n72536 84118\n5003 89438\n27453 87004\n24106 88821\n18249 39545\n65044 93874\n2850 8446\n60516 75721\n62811 86516\n4440 14097\n8706 22091\n23472 31501\n61635 98439\n48447 91209\n12899 78346\n62594 84463\n59497 87348\n40709 77264\n21681 70839\n30774 53151\n57018 77291\n69678 77897\n72355 96847\n26970 90549\n3181 64030\n22782 44301\n43932 66843\n50686 68174\n84409 99370\n12775 98169\n47087 56483\n474 31724\n53904 89211\n10994 54888\n18432 67639\n7034 40733\n30082 78131\n10940 11638\n14284 96666\n58868 99296\n18530 83502\n6980 54472\n13156 66529\n5363 67420\n33899 73574\n29028 87254\n13500 84263\n4830 87051\n8469 64742\n43221 94277\n37167 67429\n53161 97393\n20167 87158\n53800 71290\n54563 94681\n27704 45928\n1293 71515\n3766 55131\n40138 42115\n29925 42685\n76977 83957\n32241 82303\n25321 63318\n77836 87570\n64581 93276\n37289 58779\n59425 72511\n572 60886\n51679 55184\n56891 92357\n13003 44322\n66534 70245\n31642 42027\n28081 67305\n9053 23807\n2313 54600\n40654 41278\n10200 13420\n43001 93916\n6025 98565\n47793 58403\n44179 44451\n17161 31930\n31503 61779\n47564 64076\n9145 78248\n5425 37905\n18909 35468\n12540 38247\n47028 79571\n5391 87496\n30296 95341\n80672 84898\n16168 18807\n46562 72016\n61848 83761\n59558 80147\n44638 63019\n64460 99189\n64862 94834\n36536 42329\n3933 45315\n33296 44927\n8127 89354\n89390 99138\n42135 60115\n36955 58394\n62549 77879\n55972 62979\n20099 83735\n21620 70818\n7493 96158\n64968 78923\n39919 63956\n64970 80897\n47677 95408\n20424 97516\n1895 64443\n36034 56323\n64552 97377\n60043 85705\n25045 81156\n81299 98718\n20698 41343\n24408 40726\n37060 62445\n81322 87224\n20378 66922\n71909 86332\n68041 73467\n7410 94733\n33375 96364\n63441 95990\n51469 67305\n72343 93701\n36243 98190\n31216 66411\n22887 35577\n7857 59604\n68456 82628\n32176 65820\n19815 47439\n62329 82194\n11077 71103\n26986 99701\n8672 10692\n43413 53434\n21235 29649\n19817 55742\n6533 85095\n26513 51835\n28223 41956\n28444 71086\n62022 98142\n53246 94915\n59963 89156\n20652 63236\n24955 30229\n33679 46491\n26968 93187\n86717 86879\n70616 81370\n25688 40586\n34134 52237\n4282 68279\n55866 78450\n59830 75038\n87323 99931\n32204 78710\n21653 39834\n15463 46668\n48100 95468\n47320 79884\n48325 62202\n11746 37956\n48367 66487\n69120 96868\n78958 89538\n54590 64175\n37511 45765\n35117 73080\n30318 82819\n1079 39205\n7541 68576\n34781 82187\n76723 77809\n74893 79998\n12647 24606\n7247 13505\n21113 50610\n13508 94661\n623 13934\n54310 77089\n52569 72276\n9437 13732\n13309 45129\n7704 36556\n57221 83527\n35345 57106\n29771 76845\n53705 82882\n87385 88274\n56782 76751\n56288 98831\n1142 50979\n24002 83574\n42961 45398\n20886 84932\n6574 75889\n8863 77579\n43500 64999\n9942 33962\n21472 95545\n29443 36286\n31303 81122\n85271 98678\n46163 53696\n5405 85073\n59715 73333\n9246 45683\n4405 65970\n1951 47736\n61994 70665\n58757 82147\n3614 77916\n6636 57037\n12841 83516\n60847 78731\n30812 57729\n17556 88916\n4135 14279\n9647 40238\n15676 72469\n30855 91135\n17135 20270\n70095 84453\n37047 98510\n12358 36602\n3035 40624\n71901 91646\n53231 93857\n19751 56743\n14718 21859\n3556 81156\n42254 69823\n15607 47243\n18026 22004\n50838 91964\n12538 67527\n544 96003\n84146 94174\n21410 42610\n79158 95985\n38453 50859\n18950 68975\n44328 84812\n16334 35890\n18624 32640\n24164 87329\n3984 8409\n51357 78558\n41395 79772\n36599 48258\n6762 51962\n46585 95469\n89161 94922\n3851 17614\n51399 96889\n71107 85152\n5189 57365\n42519 61646\n16814 42405\n9724 41628\n50417 58297\n13274 90743\n20515 63928\n34497 99082\n38459 47151\n11800 79805\n14797 57873\n55709 67511\n27026 47801\n40234 85429\n33089 72800\n77337 79397\n51925 86862\n12907 90913\n21997 76802\n65100 76100\n22796 94361\n33498 84460\n55879 59240\n81485 96002\n27890 74216\n4981 6542\n68003 80265\n7534 93430\n32884 86148\n77030 86181\n47571 74558\n69277 93961\n41728 93975\n50889 79487\n16889 33152\n519 58490\n56328 56482\n54778 57878\n17942 85315\n76718 81965\n44044 93538\n81314 94760\n3983 52286\n37254 54677\n38737 54626\n85260 91612\n43014 94557\n3558 4981\n31772 57116\n10809 57440\n77310 82701\n12517 66022\n49016 51421\n29715 65769\n4090 61043\n358 44671\n11376 67712\n44853 65011\n80635 87608\n9390 92480\n5353 51788\n18113 55596\n29842 58638\n71716 78323\n19120 54065\n52453 86107\n47504 99843\n397 57916\n16170 26129\n40998 77832\n44033 75458\n48298 89378\n40281 84256\n62144 81505\n13290 60341\n4018 16432\n67766 71753\n34519 48347\n3750 54398\n31094 96799\n75790 97351\n20114 54884\n51876 83989\n37557 99720\n53199 98788\n19222 35652\n8280 29517\n35205 86296\n803 31297\n80563 96930\n31076 91608\n15913 60586\n5588 70512\n2310 99408\n29891 36781\n22883 49803\n36987 73298\n3769 96881\n9516 48408\n53031 85316\n6154 22100\n4303 65184\n24172 72562\n8778 51040\n11381 75935\n41151 57263\n35139 37560\n7086 29496\n5106 59304\n14951 86937\n5161 80966\n25347 44798\n11892 75428\n1816 36321\n61837 79369\n87419 91036\n91080 91538\n15506 83071\n39198 52138\n56524 89246\n11468 17448\n9477 99414\n5738 71061\n89002 96444\n69566 77879\n11108 21523\n9778 70751\n71887 80776\n27097 36948\n74492 99812\n34550 62054\n16250 95036\n74186 95126\n36699 53305\n33769 53909\n26147 49157\n18166 81281\n68767 73912\n32967 66373\n45950 68045\n26821 69703\n24733 40804\n3888 72773\n681 35658\n90049 97854\n28074 29796\n5772 72711\n38533 71067\n66968 88812\n89597 99462\n25262 97490\n20465 84772\n1625 31551\n80050 84247\n10475 43623\n16889 56654\n31269 70199\n44540 81323\n32931 78142\n59784 80954\n46555 49080\n39474 82190\n27890 96033\n14367 31443\n45585 80824\n43627 76541\n34321 84174\n78042 91116\n12185 97492\n23850 47967\n79730 95341\n6885 36052\n44630 77185\n87628 98132\n63652 92914\n36969 75194\n22671 55487\n59592 77376\n32717 69433\n1383 51182\n46316 92771\n80178 88705\n53510 70450\n75879 94404\n41898 45624\n11194 42657\n9509 11838\n25374 95975\n41905 55838\n52596 92179\n57548 80022\n90575 92130\n68212 84105\n25693 68519\n77982 88572\n35332 64070\n46596 99985\n64980 69882\n8927 32863\n5539 16934\n76964 96535\n42651 91182\n2672 24847\n11797 50685\n12399 87497\n41882 61381\n49432 77888\n14490 38548\n68320 78287\n65489 76936\n8044 29332\n81681 99761\n12010 28029\n39739 90280\n19787 67780\n62787 79808\n33234 36614\n78780 86444\n37064 47774\n15752 52270\n59083 90069\n65145 80982\n34988 36561\n3764 34081\n18899 93147\n17388 50125\n16776 25806\n6651 46067\n31680 34431\n42961 75949\n36958 37991\n47835 66557\n68860 99051\n97343 99018\n63100 81893\n74018 78871\n36261 89449\n9183 20902\n4077 11780\n46484 96176\n22191 22911\n22125 34765\n4220 78028\n36858 70311\n7978 78424\n5464 20536\n45026 56712\n9764 85170\n20663 79960\n22245 45559\n34970 98143\n70977 87916\n89318 90851\n34197 76892\n34792 34810\n23425 61340\n42510 96301\n67677 79259\n10094 83452\n35098 43233\n1009 96120\n776 53539\n37644 83865\n72699 93808\n45522 49792\n2822 99257\n29146 79136\n8903 38572\n1628 22196\n27511 54871\n4346 19299\n897 10169\n33678 34763\n54065 58266\n7337 53460\n43171 67476\n11138 11325\n11696 42872\n3459 38970\n33038 96530\n36633 69971\n34995 46640\n11534 31718\n54637 97126\n11142 19187\n19000 29624\n69663 85498\n53977 68868\n55355 93450\n46875 93445\n8095 77297\n61521 74030\n69753 95210\n4954 90080\n56432 91645\n7134 44001\n9732 62922\n13404 65749\n47094 94249\n25919 49330\n65003 65346\n12247 43273\n8085 74613\n25355 74915\n7761 51499\n34671 75449\n1848 17207\n83034 88845\n8675 30324\n2123 33028\n20653 92491\n50096 69753\n33245 71981\n16792 33275\n27375 69941\n25654 64711\n69174 88917\n5548 17651\n3991 63412\n7238 34779\n63174 79104\n29255 51257\n24872 63676\n47000 77234\n30454 97603\n77544 96999\n65601 98980\n33799 73500\n54074 80660\n3796 7803\n53321 69642\n26565 41305\n24934 63651\n16248 73429\n22876 60366\n61918 90581\n12642 86358\n34883 81725\n48160 66548\n13300 19606\n53051 73996\n27456 71684\n59417 85605\n8169 24977\n26148 39725\n26628 55926\n23680 33526\n30260 68550\n11436 84458\n48861 72961\n47222 84915\n34847 41629\n3963 43073\n42050 50460\n52103 72014\n16776 72272\n56163 82089\n39359 46100\n32302 90093\n27170 81884\n11769 17846\n2719 92311\n17415 78531\n31767 94576\n177 39144\n43509 53748\n41329 75044\n9698 59786\n27488 42158\n59441 84173\n37507 84587\n61589 79582\n31870 93926\n49317 49450\n5477 18928\n57836 77905\n18390 53709\n17308 62246\n11325 98602\n17268 89988\n79482 98503\n6082 7363\n3749 11773\n3004 48045\n7579 73393\n80837 94246\n73259 84896\n51937 63340\n11211 63337\n21733 68709\n44302 88862\n34966 93810\n56350 93678\n34811 37992\n17451 79002\n26824 91727\n15994 17436\n7732 64538\n3685 61943\n68540 69504\n6360 68171\n10521 14901\n28012 59896\n30357 97045\n9530 43315\n19181 46874\n33196 92395\n27933 77091\n12998 46201\n64783 97497\n40736 57912\n28156 49012\n63806 68029\n65223 91013\n3650 40054\n35931 61595\n61339 70108\n5104 65395\n33716 44583\n6876 66868\n64438 78591\n80402 87078\n2574 58953\n28423 40022\n9200 95846\n2435 76499\n42183 65187\n17275 25243\n18668 28249\n14656 37217\n5415 22292\n28100 29623\n10209 98593\n11528 63709\n34224 94428\n3972 25573\n6278 68856\n36683 41194\n18333 85944\n62014 71392\n27286 72632\n12977 14712\n11521 38401\n11942 98064\n58012 98810\n12824 20953\n55084 91659\n3543 89046\n21286 58755\n95059 96497\n91174 91653\n19285 98033\n44330 71266\n18951 47274\n38162 81465\n19833 35158\n6204 46529\n63395 75968\n1033 1974\n18974 74096\n61306 96989\n4466 41773\n27132 49952\n36337 81144\n55061 90946\n54612 96703\n33104 55093\n2060 3713\n47929 92633\n3145 3392\n5187 14691\n31451 49326\n15850 24847\n35069 71244\n16402 56860\n50229 56214\n36489 37248\n3816 89267\n6904 86110\n36208 94198\n30943 38799\n22446 28542\n75084 96705\n44413 57740\n38147 79467\n852 57146\n79784 95367\n50330 93619\n38689 93061\n42282 89967\n31597 41297\n40254 46256\n19421 71823\n40172 78606\n71868 84601\n39697 79329\n8037 46256\n13817 18664\n22312 94314\n8540 35894\n1 95632\n3604 11069\n48571 76056\n46356 58961\n5116 94023\n13368 69787\n37834 73459\n17053 98663\n5293 71708\n13997 56382\n47984 55469\n33713 96805\n30617 50548\n9787 28042\n11519 89701\n20866 83424\n12422 44637\n71993 87235\n54267 84897\n29090 42860\n51028 94608\n15131 96658\n78715 97770\n44171 66067\n22792 93144\n25024 96059\n57582 66038\n39743 68367\n45495 89808\n36760 80310\n76472 99475\n51800 60476\n1349 18583\n15854 52552\n41294 89792\n7696 42046\n19018 49442\n11841 30040\n87863 90744\n39017 92236\n6179 59299\n73679 86499\n1682 15785\n6143 9905\n46699 81588\n13555 89280\n3306 26350\n9704 28770\n23980 93292\n22860 78616\n65827 79421\n44899 89859\n64484 76271\n31426 52397\n15055 81250\n41367 73546\n5307 89534\n62303 81110\n61481 77963\n77392 94787\n48161 52732\n53023 83360\n51097 55797\n53031 56343\n29269 57712\n44977 72057\n34570 66203\n4235 27504\n10618 48379\n46002 83714\n74092 98701\n13300 49931\n1263 21565\n70832 79265\n42654 75759\n43513 65501\n40298 95135\n8380 66895\n32992 71830\n8683 15779\n28505 62415\n18996 35916\n23833 85113\n38313 88095\n13612 69755\n33387 40539\n18080 65039\n29057 77429\n27260 94827\n47933 85207\n1273 68255\n55551 68431\n54564 67997\n15227 98471\n21076 25700\n5633 47546\n36587 43423\n3617 63822\n51718 66307\n26275 56901\n71425 74798\n38120 49029\n70815 91873\n46599 69330\n64747 95576\n64910 77656\n22775 56131\n4876 56162\n48629 94025\n72152 75943\n67170 90650\n44768 78450\n79233 99160\n51196 85200\n12058 55893\n16291 89308\n70742 93671\n50840 69949\n15597 15786\n666 40137\n8673 66526\n17338 19088\n33467 40627\n84922 98167\n27900 47263\n35004 36127\n76174 95176\n22334 27896\n59934 67765\n42102 92259\n5302 40885\n4012 31531\n19682 39209\n9861 87565\n32812 74418\n42472 90389\n40862 53897\n9640 14474\n11756 35151\n3000 97086\n46972 54503\n20449 80232\n5626 29354\n17976 79349\n6826 61673\n8191 11464\n60558 76843\n6554 57809\n23171 39922\n1179 44393\n63636 96231\n67233 96001\n3338 56387\n20046 38415\n7733 96596\n19542 93929\n12082 46071\n3006 55250\n50533 91971\n27136 68716\n52398 99913\n26016 71666\n50294 51703\n6636 94937\n28492 39636\n48459 79854\n9966 22619\n10807 92663\n10858 77572\n36053 37300\n26911 42282\n49866 82511\n17067 29663\n80603 86248\n29757 95531\n12649 78764\n56220 74077\n35763 91453\n39453 65840\n240 50130\n1929 96474\n30531 84381\n13784 37574\n5532 69089\n33034 52175\n69296 82719\n47758 62947\n9671 28705\n13814 65501\n71381 77283\n32815 86990\n41047 41708\n57147 88207\n75829 90786\n33124 66167\n10384 89205\n38885 74639\n24611 43305\n52382 60210\n21360 74525\n43635 61667\n23461 53521\n34380 47280\n11594 59443\n29123 93002\n50961 58510\n15229 52150\n246 42131\n33557 59744\n35604 40536\n21306 63955\n1948 20034\n49805 66205\n20812 21250\n27100 77674\n36713 56648\n4654 87442\n72604 92190\n5377 5862\n31106 67003\n47978 65949\n58745 95540\n31202 72443\n46123 56450\n37591 53954\n28706 73069\n17732 65919\n9464 41755\n20642 42625\n30407 77999\n68656 91405\n60363 62119\n3130 86513\n2473 32157\n26024 58139\n24693 27371\n80946 85667\n23498 81737\n65508 65949\n30048 79697\n27463 67424\n9218 95017\n69301 85576\n27822 33448\n29527 70938\n7313 48535\n38053 76588\n58465 68721\n38978 49715\n43978 82168\n53909 85393\n17008 33852\n8282 67754\n819 26882\n87320 99596\n8259 28278\n21908 77692\n33476 95048\n20825 61139\n9725 76611\n60293 81991\n61634 91026\n32608 49869\n61932 83343\n21346 42803\n18800 86910\n62208 69834\n7557 73621\n9344 24236\n23384 65609\n13297 94304\n41497 80987\n22564 46667\n11756 25518\n20475 52002\n9021 41613\n11421 32301\n40284 57946\n18264 80690\n19785 88096\n275 22598\n19347 43065\n7256 41951\n13918 62572\n19994 86196\n13355 81055\n17005 77426\n39260 72254\n2174 36043\n46725 73805\n26291 42075\n16915 65418\n56203 91358\n43216 75960\n1785 10240\n19741 52645\n15484 45130\n70705 79010\n3783 72826\n33340 67138\n12574 28696\n23456 41981\n42513 47983\n19547 89810\n66796 67159\n51259 83154\n11382 27071\n59475 64535\n45024 53532\n72893 75585\n93225 95913\n23951 86912\n45634 46704\n3818 68687\n51737 90717\n9312 64870\n68039 97945\n13877 64997\n29992 58382\n3469 50436\n44043 58796\n19617 29542\n5217 35207\n5828 78540\n17420 80194\n31193 93276\n40329 81571\n10172 92940\n22819 45392\n5541 77033\n2548 71427\n39051 72267\n14602 81420\n44046 44530\n30337 84084\n11259 43560\n50216 59348\n10970 60292\n46978 48653\n23645 81988\n29207 57850\n22151 82999\n38474 89435\n79153 91156\n15979 95807\n28692 87707\n54313 54314\n77038 82675\n51493 90051\n15189 89338\n75695 91172\n41437 63782\n23554 78660\n13149 77374\n12090 81147\n19740 52189\n81615 98750\n30085 35336\n21419 55822\n4522 41724\n15108 65036\n51228 73718\n58102 70820\n29856 29965\n32411 71846\n7699 19972\n12552 61200\n52723 86326\n2182 90020\n12720 44299\n50596 98090\n64066 86769\n72228 91017\n3447 60872\n78012 95645\n34482 46036\n21099 73755\n3025 4081\n8422 93068\n8697 59631\n10690 66371\n62286 80145\n5942 36744\n46539 87888\n17103 72870\n65346 65935\n10993 78508\n18055 92160\n54909 72435\n22102 84244\n5310 51616\n77212 99566\n59450 76427\n6371 57384\n4158 49469\n25731 63831\n3745 5487\n10573 58396\n44512 50492\n64185 94096\n51805 60024\n20544 51841\n26119 48967\n89629 99961\n34633 39620\n68525 80788\n77864 84593\n3005 5950\n63331 80322\n75388 99319\n8741 81285\n42268 79563\n21346 78875\n41559 54818\n27945 72914\n21073 23582\n13721 66127\n75689 85522\n51033 75732\n10479 99514\n87659 90333\n5992 6848\n72786 82371\n9171 68372\n3597 58420\n23966 99952\n4919 98413\n19783 46683\n46908 80268\n22890 47457\n85742 99043\n1515 29088\n27688 40353\n23544 41153\n31484 40103\n67409 69172\n13773 64238\n90719 94066\n19874 92892\n62111 75882\n38463 84843\n65128 70608\n18902 38939\n68588 76541\n6539 19385\n24045 60961\n37505 84032\n10808 32206\n89652 90275\n25021 84255\n16780 49072\n34420 43762\n64428 75830\n72561 94069\n84221 85673\n55660 65526\n22250 53137\n1848 90208\n31316 37634\n81433 82992\n51046 54379\n20842 56975\n38026 50207\n2756 20463\n6797 10267\n69489 82678\n29620 51891\n9511 30464\n39813 67077\n7201 36708\n58443 58505\n25249 61311\n59758 85673\n24427 54608\n274 30057\n2225 15536\n17136 36798\n50024 82561\n50361 59063\n29740 39648\n23404 45957\n4314 83160\n71348 73445\n15055 34347\n72203 99339\n23129 29256\n45580 93570\n24912 66946\n14130 52420\n11125 32348\n32329 73992\n20349 99418\n14461 71983\n1926 76968\n36968 38266\n24595 32098\n88938 97130\n24610 79766\n11448 62646\n33881 84638\n41280 87690\n40152 94943\n1252 51398\n30743 88646\n31618 69095\n53195 76674\n38393 83162\n31650 59493\n15116 86611\n42559 80492\n19068 89320\n3333 52778\n29021 63798\n41663 89042\n16427 63570\n39708 42341\n4 2875\n28479 53589\n10636 51920\n66997 81197\n23457 28041\n10808 48302\n45792 78707\n12667 83677\n63421 72719\n13353 22108\n41721 42110\n77596 80888\n52980 74743\n50716 73147\n39813 43617\n15638 93742\n78690 96433\n63111 84394\n28978 47313\n22173 42054\n2155 83063\n21052 74634\n5053 92908\n3382 79877\n36542 51205\n53015 63641\n53759 82661\n61528 82858\n2406 73573\n8203 15901\n9619 44376\n5791 44028\n54354 84846\n9231 67268\n96263 97078\n2634 31040\n95016 97148\n21233 32705\n8592 58221\n63683 76812\n23928 65466\n10112 92905\n76321 98835\n34907 78362\n5312 88812\n30141 69010\n31602 87590\n47518 86886\n5496 64342\n74909 91462\n13705 19784\n44477 97519\n69780 86074\n26911 91697\n20065 50620\n1948 1964\n12518 82285\n137 80335\n64682 90041\n36180 54035\n45835 78837\n16599 17105\n77998 88845\n24358 47128\n11423 80523\n62765 93396\n44307 55860\n17324 30274\n18485 26805\n5041 56970\n67036 93407\n33303 83549\n13159 41141\n41064 78818\n31067 76680\n41051 84050\n48507 88376\n49872 90776\n28374 61491\n34176 61511\n9609 53381\n27820 91727\n12870 48762\n13449 76417\n46324 60858\n5790 45746\n12437 91456\n51707 56210\n26200 33182\n3208 55064\n2062 35746\n7454 76301\n28650 56817\n18388 88694\n36810 69980\n57237 78858\n29331 57551\n2669 80019\n15575 83953\n49970 88637\n35957 70214\n64157 85704\n45061 79182\n60568 72941\n34867 51345\n14809 92805\n1517 85023\n77275 85382\n27282 67300\n16803 48138\n40039 92169\n15594 67788\n29736 44778\n39269 71235\n45814 99016\n12036 93179\n25892 48964\n31018 52200\n10794 40391\n12208 35782\n57049 85025\n60710 76536\n34682 57510\n14870 78093\n22116 76385\n6480 61229\n55992 68926\n51984 65268\n60197 93925\n11541 28256\n14216 54176\n51716 81340\n41741 83355\n11625 44332\n28599 28915\n39461 96086\n11449 54969\n46162 55015\n67281 75765\n55764 64910\n42977 47309\n19175 92329\n40813 83895\n1456 40949\n72975 79758\n16399 55761\n83307 89020\n51943 82859\n49684 72933\n540 98857\n39464 81434\n52081 93979\n70248 85224\n88798 95308\n44591 58660\n12702 62296\n35094 96599\n85257 96581\n82567 98125\n85337 90399\n69159 76207\n22047 29382\n50721 70665\n9169 29651\n18884 32887\n47945 99993\n20191 34326\n22469 66488\n4193 43694\n24439 89672\n49356 56463\n40826 96723\n4856 39405\n18311 73966\n4241 25486\n20919 79241\n35493 77345\n20880 46360\n8694 60589\n8716 11207\n49549 69797\n33205 74835\n19050 70440\n41213 84660\n8903 56259\n84198 89244\n27273 57777\n26538 42685\n7278 46075\n26734 83282\n73167 79397\n5781 31795\n47505 60040\n59521 62724\n58743 86924\n13679 82094\n46401 49093\n43 33265\n54592 91483\n43116 65703\n36660 46502\n21180 23677\n42903 78701\n50994 57487\n69146 79600\n12159 69525\n445 37357\n29276 94763\n42669 82504\n78938 82836\n15810 62286\n25767 50601\n2301 22056\n37908 47467\n89790 99087\n17836 19196\n12656 33435\n4350 94668\n50379 69579\n4581 53832\n11724 41457\n24901 36546\n1079 39499\n74119 92553\n25434 88455\n42383 95305\n31971 71219\n26267 47581\n13800 31538\n10599 67644\n23957 56811\n4959 72405\n31433 93127\n25432 27613\n21261 57517\n29064 83694\n19478 35389\n50428 60431\n10930 27794\n3594 41528\n10936 62277\n2176 11747\n26459 28073\n39767 59068\n64589 76053\n31676 41963\n21292 96332\n20573 25195\n14418 27362\n70931 82184\n58269 84223\n36743 89726\n4100 78618\n4321 36704\n26189 82027\n13965 97591\n83632 98800\n68952 84741\n30808 61755\n79045 81745\n20239 42566\n35362 49406\n41974 62906\n32531 64215\n14619 18678\n3013 39301\n6558 48467\n14171 16539\n58984 74071\n644 75133\n39494 68773\n70705 93065\n93429 97110\n6819 40853\n41902 84019\n861 17988\n63328 72766\n49237 56692\n23277 59536\n70646 79206\n33747 49613\n45615 90219\n75560 92394\n20325 40976\n68375 94363\n54639 99695\n63546 78732\n34438 62295\n89446 92947\n11043 35365\n8797 67314\n21207 86251\n16794 92409\n18209 72543\n25248 98905\n4271 46379\n57430 87625\n13887 38442\n48083 87650\n26526 53951\n34804 90906\n2983 47356\n41509 82059\n6053 9311\n80479 84637\n37491 72604\n20678 44781\n64910 96849\n61916 92294\n16344 72584\n3717 63487\n43942 57853\n493 50466\n15578 89595\n41724 78533\n3290 36643\n42583 68678\n15645 16948\n3315 59544\n72658 94237\n26307 91767\n21731 56519\n29107 83248\n86626 99221\n22823 60266\n34029 37810\n44795 46895\n47961 66487\n23838 53343\n31235 91134\n95103 98992\n21875 96192\n28359 36232\n70743 92145\n8933 77313\n26892 31495\n43932 95660\n66207 82958\n16214 51283\n15940 38152\n55586 79494\n8933 66374\n26854 81429\n20120 56592\n15274 94586\n50642 68464\n20500 68417\n76954 86098\n3291 8874\n41796 97145\n79346 87523\n50682 80599\n4434 20766\n93669 97112\n350 65358\n81315 88746\n41356 83647\n22939 70980\n73256 79973\n58048 80398\n19536 93189\n64214 76816\n51362 72878\n18189 32168\n63474 81999\n40623 95382\n18850 77274\n5321 74547\n60032 83452\n1260 66994\n13704 72712\n1145 98400\n10208 12663\n14838 55928\n27768 64273\n15759 17312\n7627 19246\n12315 87517\n488 89002\n5184 10294\n56959 92594\n37626 72259\n34636 82322\n7467 26376\n51972 94193\n31272 67135\n53417 71843\n78241 99244\n17923 37569\n25171 69517\n15437 55330\n22420 90718\n19188 87241\n19245 48994\n13966 36894\n16490 54608\n57606 59008\n47549 73219\n61720 83974\n28079 68597\n50900 79089\n19508 33630\n76064 83783\n10401 88021\n34350 35867\n65987 77244\n5549 69116\n55956 81078\n18758 54546\n5447 50787\n27048 53003\n7237 27844\n61061 76124\n25843 70553\n25566 34680\n23654 79365\n40853 67660\n51325 63869\n15601 66128\n39214 58057\n14981 25245\n48027 64244\n5608 15493\n30196 35227\n6398 59121\n6126 22176\n37696 85780\n20980 72533\n15353 35107\n4337 57619\n52248 54206\n60668 90460\n50361 65142\n1283 74632\n74827 82368\n60077 90470\n36182 93257\n35540 63335\n93541 99506\n19305 40981\n120 92847\n68134 68857\n13958 26327\n50348 67782\n59159 88322\n71878 89314\n64901 77132\n40099 94519\n66076 93080\n61579 66710\n34091 39368\n19485 48288\n64268 78008\n10698 93206\n66963 80559\n27132 49520\n15688 94529\n72815 97630\n88533 89845\n4103 70275\n22696 24162\n8327 93872\n30070 51846\n30989 80347\n54890 62385\n10597 34397\n48958 75606\n4991 5100\n58193 74187\n61347 77932\n47968 96534\n9655 33466\n11992 51883\n46832 52093\n93637 95835\n56482 69057\n44278 52977\n2766 41704\n26431 40969\n10544 36646\n42985 56752\n829 22906\n25433 89171\n76292 93038\n4711 34638\n29168 99444\n69637 70419\n4918 36379\n19198 19384\n5322 84908\n39874 87745\n2364 41449\n20362 53121\n18624 48293\n44383 68358\n74990 84169\n2389 38743\n42292 85208\n1256 9215\n10480 90612\n4049 84648\n16424 79609\n60580 87760\n38862 94931\n1561 49276\n28163 67999\n70972 73661\n8458 95290\n30137 34064\n64581 94176\n11693 21216\n26967 66102\n24577 40751\n17295 82502\n51232 66414\n34842 90187\n47932 55484\n8149 28815\n49163 87121\n24179 89683\n3862 10504\n4942 96548\n40754 77857\n1535 4604\n37870 89496\n58433 80461\n47284 96307\n65256 98363\n6551 80034\n56546 63840\n50922 72577\n280 67498\n30422 40491\n47738 87562\n13042 47372\n30799 66221\n62302 83502\n50516 94450\n5843 65765\n29664 58056\n4661 25081\n6998 44477\n76044 82406\n18609 28263\n18466 79153\n5036 9740\n8009 27623\n30232 38355\n24683 94168\n30690 82718\n83643 92614\n89117 94616\n35365 69935\n27413 51832\n37912 60374\n61497 83841\n27196 68404\n78912 96162\n18704 59390\n53523 87549\n42897 98258\n70332 99300\n63626 83102\n5766 95134\n29547 69275\n24550 29847\n17529 52794\n65002 82351\n17315 23566\n10236 43615\n35739 50112\n69268 90278\n13162 63731\n62670 99484\n38882 56208\n62961 84335\n6147 51717\n27409 39722\n76823 99502\n15528 70448\n6042 65375\n31778 74341\n26377 96095\n16050 53626\n9077 28736\n6474 75400\n21152 39725\n86827 89024\n22207 65518\n37800 88248\n43905 62536\n23426 51053\n21884 34807\n22887 66978\n63392 70290\n64877 94859\n24788 44791\n16115 27461\n13741 50653\n2527 16396\n30784 70257\n8028 16287\n19269 27551\n22953 70165\n52064 64338\n31736 57530\n13462 97596\n2039 7806\n67313 85797\n56723 65414\n52792 62266\n8799 76311\n9407 61213\n70756 77952\n51236 61143\n21684 88517\n17640 33579\n30248 90413\n66609 92490\n21804 44375\n49387 99721\n1935 11947\n81764 92251\n24237 30620\n38152 94294\n20950 98621\n50865 54161\n10405 66659\n15926 87256\n29195 38325\n9678 44276\n818 44805\n61488 70308\n46019 63628\n28067 37399\n31807 41717\n21864 65421\n49875 58498\n26647 93878\n29054 29771\n74885 90181\n60649 96751\n28010 45306\n68227 84746\n19250 57977\n25882 43129\n61395 86741\n37057 72802\n74097 83619\n14593 33034\n10082 87870\n56738 79557\n76006 80027\n37373 68056\n37047 53926\n55140 81998\n16497 75636\n44258 79422\n39852 42520\n10379 77426\n15122 49612\n28303 51732\n35918 79574\n11490 36245\n19692 39726\n54477 65404\n27390 81697\n41377 67627\n41185 76199\n53330 61750\n46249 67281\n50647 78938\n21204 55495\n44853 77150\n81894 97766\n66836 82811\n6932 43034\n65254 92250\n72291 83298\n56799 93811\n23375 61223\n55545 82866\n60921 86897\n37535 48095\n47207 50407\n61661 70787\n66922 83731\n22993 63778\n73355 92582\n2294 59391\n14421 82976\n2777 81712\n56143 96391\n51335 71563\n1163 19226\n12941 93798\n75630 80311\n17760 39593\n46878 72797\n47302 55251\n53463 88035\n32282 74021\n3241 43897\n29659 66151\n83482 89906\n53763 77293\n23443 67455\n9477 81570\n17688 99446\n39131 89497\n39195 67299\n71874 96082\n22811 92167\n61084 87702\n66398 67555\n20180 59071\n12997 34442\n43310 90651\n42215 46202\n23520 83785\n40436 52173\n55192 72577\n74062 84339\n32744 47989\n6711 19085\n28688 73985\n61939 78121\n43502 99510\n18516 77146\n68465 79518\n23613 37929\n33501 67848\n61037 90979\n49224 53802\n12272 63842\n4139 68475\n4927 36942\n18407 38036\n65774 95033\n70883 84184\n8555 97166\n21554 84392\n53795 87199\n52383 88916\n16939 20440\n14419 41113\n32472 67013\n23365 66310\n26973 37802\n20466 32989\n18871 60939\n48354 81854\n50684 77454\n23252 99617\n39100 92325\n16924 76957\n18610 19539\n40313 59463\n87682 94267\n12449 16651\n55105 73956\n27522 51208\n34479 93293\n14275 23999\n78819 99204\n52071 72720\n65909 74693\n40464 53536\n41769 53141\n35998 60982\n40763 44879\n18566 40987\n27669 51563\n7787 86746\n47129 90985\n31283 50769\n6018 18983\n17032 19362\n12868 17241\n4395 32045\n28154 49991\n39071 87759\n53905 57939\n8558 37865\n4117 49262\n61154 93953\n17419 31477\n64691 75033\n35591 47776\n1595 68584\n12227 95640\n10517 48062\n1168 58745\n23331 86255\n27745 74746\n7203 72098\n26984 46721\n14828 85883\n39842 48115\n41290 77073\n20476 68806\n40285 85381\n2362 16137\n676 33942\n52747 70141\n33232 63957\n20627 41807\n9974 78335\n10346 94133\n41815 51682\n9440 44677\n48138 58530\n8577 17350\n605 75696\n18124 77736\n10196 18762\n18678 52137\n56470 82787\n10191 42036\n45476 91352\n8482 66243\n51711 98236\n34556 59844\n71062 90375\n64490 99428\n16527 65813\n4404 44110\n75965 99085\n46739 74461\n46020 89414\n77697 81445\n16602 51835\n17938 61951\n89821 97654\n35268 75912\n37686 83128\n9175 93706\n86393 93959\n10707 15406\n24206 89912\n28748 38790\n22691 63765\n28527 86418\n64792 76757\n39707 43855\n74043 90736\n47962 89143\n51005 95834\n49677 82736\n57181 75262\n58973 59057\n12765 72835\n26363 79553\n49494 82615\n22635 87921\n50353 71979\n34583 46482\n58200 87957\n19531 75035\n34838 38558\n37592 97712\n28991 36026\n51599 75423\n68941 97312\n18378 67619\n6142 26290\n5933 74271\n49433 54118\n53266 85898\n19465 55218\n31488 61845\n73662 87162\n47080 54284\n69641 99361\n33851 47293\n80674 88389\n40668 63692\n9127 12052\n6915 56689\n37900 68047\n74142 96211\n39357 95672\n36499 60207\n14972 27562\n71095 71230\n21292 82424\n5069 50599\n68177 69687\n31244 79390\n7858 89733\n24711 61467\n16385 39450\n17092 24683\n14962 45997\n1272 81953\n22117 92074\n44634 94882\n3208 99159\n44772 68415\n33394 98254\n6156 48697\n79710 82792\n6471 58981\n8045 12232\n36680 67156\n45 36350\n6998 50920\n32148 94455\n251 51138\n49066 58279\n61748 68055\n30847 47288\n31832 88255\n31527 65388\n28565 68232\n3467 18158\n7333 79250\n63356 85882\n8964 35147\n5497 13985\n59709 87361\n33471 99108\n1029 48681\n80875 88139\n40392 97607\n17354 60437\n8991 14710\n15575 55240\n10869 48233\n17016 87449\n38881 66568\n73438 87683\n47940 94109\n13252 56620\n5941 96193\n1666 48453\n24649 83704\n42828 99025\n16803 67356\n35163 50770\n25732 48518\n63335 78854\n50955 59550\n7027 77972\n36140 51533\n40673 93606\n50270 68460\n82777 93600\n65837 81202\n70763 96306\n27873 64369\n25710 53762\n68938 85446\n10876 66108\n27405 47231\n27943 33265\n2155 49497\n398 55022\n52919 62989\n35935 42378\n37942 40817\n30673 61430\n70432 88596\n22417 47833\n3210 88839\n44488 87804\n19790 74901\n40637 80869\n27390 42862\n41033 96944\n46051 94937\n68992 72094\n44350 90515\n12213 90203\n13209 52359\n19380 47826\n55026 95842\n30302 87929\n54652 87839\n87718 94972\n10023 16404\n7780 59415\n20609 69309\n7444 15264\n3970 16204\n35584 92285\n50975 83049\n54781 78480\n14393 24329\n81660 92252\n12657 70672\n13477 66185\n33314 99095\n3425 26423\n51167 65198\n22352 27369\n3131 75493\n11805 12056\n47602 85821\n40325 42376\n44093 55180\n43317 70773\n14154 83895\n86136 91338\n36627 43850\n26861 69341\n49554 61214\n36185 40750\n20864 23665\n63472 69403\n42009 57010\n1728 60631\n42110 77111\n17928 65080\n4867 64804\n7811 77002\n3372 39657\n15348 29095\n18104 90387\n37506 63445\n20554 73198\n8343 39645\n51327 74329\n2981 78442\n10535 99263\n19088 57021\n30478 62667\n21254 42990\n1013 5176\n5147 19982\n16285 93610\n7930 49277\n21656 37746\n42372 58191\n61547 91708\n11622 22023\n32840 49167\n43372 66795\n48538 96674\n35484 35627\n27265 58922\n10588 92801\n45971 47681\n31937 48176\n36512 73329\n42338 89846\n22656 52146\n31486 89396\n28597 61961\n44865 83045\n8940 78030\n45805 77911\n60814 70875\n89294 91506\n15754 50895\n8864 14970\n56740 77567\n1508 99711\n58387 96395\n63027 90652\n8226 75185\n8344 41841\n32427 84414\n9624 18185\n2640 82927\n12361 31658\n69408 95257\n24670 26585\n81182 96193\n5618 52476\n7563 48603\n63306 91417\n2704 71324\n37544 56290\n59620 86473\n16746 21060\n59976 93232\n30304 42799\n25539 75010\n84859 85034\n39100 94134\n22333 37684\n45761 88090\n470 56855\n44124 64791\n25985 60101\n58284 88632\n7861 34021\n66569 88531\n39212 43470\n11328 52148\n3297 93874\n57833 69021\n11305 58324\n17570 64588\n10418 77451\n26485 89950\n15509 76968\n6453 24943\n56931 64937\n2073 99221\n63852 64092\n54366 72287\n49097 92063\n60606 97441\n28300 90926\n8782 34173\n19801 21431\n33754 37150\n48528 87456\n28990 54576\n77491 78586\n67946 79837\n18053 87374\n19257 97141\n35541 39426\n30089 47204\n92914 92964\n3492 39758\n55058 73907\n37106 38082\n24909 95670\n5218 94666\n67 6220\n15803 58495\n34820 89137\n47260 93429\n48083 96472\n39409 60884\n59474 84771\n40152 46479\n16496 51371\n13026 69930\n22958 29783\n77812 84604\n40867 87663\n18442 49437\n57656 96746\n82068 96990\n59350 92668\n32175 57800\n29978 33606\n28731 97565\n42174 94789\n14574 39708\n30448 37986\n8047 50122\n31157 88844\n17128 87957\n27993 54397\n37361 94833\n41745 51853\n33263 98707\n37813 85906\n8422 48520\n52540 58210\n31460 88380\n47280 58582\n38898 39084\n4243 94459\n20861 52719\n36359 39372\n52055 87606\n46690 92330\n12716 89427\n21963 76175\n86123 87690\n27524 68643\n4931 36520\n41982 78491\n32109 91729\n25792 38745\n27726 38848\n26231 39447\n12584 95763\n41479 91928\n27614 37796\n89799 92865\n64475 83230\n38945 97261\n56246 62646\n54283 75868\n69740 76548\n97821 99590\n3905 30776\n44584 85853\n7069 23328\n43378 70839\n16234 81315\n39340 39777\n612 38694\n67145 87554\n28755 39086\n27763 80759\n14277 61816\n52984 74474\n29032 41265\n20421 65721\n49779 84055\n5391 83581\n90876 94535\n14997 29337\n13202 25690\n18519 24782\n84413 90582\n64168 77584\n16010 22209\n6356 25418\n64430 92385\n59303 81326\n17688 93932\n67517 84812\n5389 49679\n12162 75744\n48469 75633\n36241 55514\n54626 73743\n30747 59375\n25521 93581\n52252 80304\n85723 92201\n8919 49381\n20994 57084\n60737 69289\n8650 56991\n4480 93366\n51895 66813\n12663 75384\n27713 52084\n4133 89739\n17708 68255\n9522 48856\n30862 37132\n6653 56953\n34008 99636\n15073 95594\n8784 97588\n50116 92463\n4839 13726\n15222 75763\n49752 75031\n3488 50489\n38165 79338\n69971 71339\n21962 68549\n21502 87991\n28282 33687\n54984 82053\n34718 60850\n72523 99799\n2844 52617\n56496 98161\n1183 37705\n34499 76575\n17920 93125\n47382 63442\n41370 97290\n9617 49843\n55297 59753\n17525 51772\n75663 94758\n27737 92766\n41165 88703\n51443 95230\n7695 47153\n52873 92862\n14974 34396\n21368 81075\n79992 87793\n19473 38604\n81821 81894\n3475 84214\n5130 72727\n11634 71788\n42191 86100\n18473 18781\n63493 66293\n82730 91414\n70805 93913\n21016 99149\n14136 28320\n19139 62703\n49201 50603\n64237 90528\n19448 79623\n39428 98875\n13288 69346\n13586 55302\n46745 87707\n8825 84395\n550 14149\n7752 33492\n18429 32020\n50844 58694\n19930 68898\n57056 73977\n41324 49935\n35115 43168\n70330 98882\n75890 93608\n51614 79097\n13610 21758\n73031 87649\n90557 96757\n22217 73801\n20528 78296\n49548 73629\n24591 58759\n70588 92050\n19482 46360\n11052 59641\n56280 65741\n16828 44883\n63875 71009\n5911 89923\n20877 40406\n13325 41689\n57381 63466\n5239 25258\n29938 99453\n28578 71378\n77711 83175\n72975 89287\n46302 64948\n44719 86876\n21066 74633\n39386 63691\n15112 39126\n3254 75863\n7679 92013\n44398 67847\n13847 66798\n14979 91387\n6303 8018\n23410 28089\n63350 63794\n51809 92986\n5947 48351\n68579 91958\n29480 95838\n24666 29172\n20109 34699\n17536 84864\n83589 96984\n95002 98815\n44027 73693\n50475 93932\n31000 71769\n47780 79943\n271 47608\n34749 90935\n23498 45272\n47005 84192\n4495 92324\n12998 58679\n434 37976\n34838 37428\n8947 50765\n19043 97780\n30006 40846\n36966 62176\n32475 45604\n36750 59921\n49722 89994\n72329 79414\n48669 68217\n20338 48544\n19276 68868\n9788 16985\n44696 86070\n19665 22342\n85193 90550\n61963 79406\n80407 99733\n62548 94468\n6914 9659\n19525 92644\n19768 51655\n25927 29795\n18694 69578\n15905 94098\n29436 91761\n54685 70953\n34289 75556\n67750 79974\n11034 37251\n69229 85261\n78524 81956\n20807 73881\n25881 27898\n28979 33669\n16188 48064\n28424 78484\n33279 61385\n82684 87507\n29457 85763\n14910 76658\n53519 64942\n51219 88852\n59799 96261\n24242 71745\n17830 55099\n45155 81712\n79424 97400\n52423 86164\n8034 86363\n32005 89596\n20398 43425\n21483 91648\n66888 99157\n76725 92083\n30984 63686\n11742 37526\n44426 54076\n72798 92307\n13122 27133\n11559 24706\n89348 89482\n7503 78447\n21185 60594\n22002 25912\n42227 80713\n4599 30325\n20892 45723\n4801 76428\n21676 94753\n17735 42212\n20242 34726\n14612 81123\n50021 65241\n26741 85277\n629 78833\n34946 75333\n48408 66631\n2675 32895\n49855 66393\n40999 74666\n42562 71705\n797 38522\n47157 61101\n47417 73595\n28423 86790\n19545 27240\n91316 95895\n10547 28038\n73188 86256\n19008 61481\n3258 99274\n48170 96852\n7608 79789\n25869 67442\n60897 78954\n44807 70255\n14204 63930\n4593 34643\n63217 70758\n32305 98066\n26720 90842\n58946 60654\n23962 66451\n33359 75322\n72544 72891\n3598 12983\n18381 30370\n36968 53539\n15948 40273\n32866 54589\n34321 47226\n3882 58930\n47779 96672\n4078 77680\n41365 76039\n51685 55321\n9528 96055\n20474 30127\n1470 20133\n22091 82718\n19991 28840\n24942 48848\n8327 61491\n78492 97703\n36878 63674\n98965 98968\n81687 93083\n10734 35470\n21203 84173\n60063 96625\n36715 75839\n3310 91299\n4816 87651\n33415 78256\n23769 43105\n10909 97431\n2861 20667\n38111 76349\n44611 66141\n25879 35786\n1143 91721\n38225 60859\n7210 10293\n15322 50100\n48373 62364\n3870 65379\n24375 93739\n11368 79408\n15849 40392\n55234 66142\n10887 65257\n6448 53188\n12804 31112\n41902 42348\n35530 36964\n27933 43403\n47476 82993\n39897 41717\n6077 21221\n42736 77964\n21470 92139\n15815 73399\n65847 96869\n75440 93660\n33018 78999\n15355 68573\n55089 92443\n31124 60106\n39257 40150\n45619 49239\n35045 81375\n50837 77333\n79889 97730\n23105 94275\n4722 58933\n33099 65968\n47586 57501\n27268 34693\n22153 83381\n19540 57229\n36916 84053\n45629 96918\n36007 48619\n26469 77719\n16009 46882\n59958 76423\n9314 78805\n44527 80561\n66630 72163\n57436 72749\n6907 41781\n74287 91364\n37063 52475\n53743 77093\n18392 72090\n5554 35395\n82729 91515\n33001 59361\n85057 86489\n71703 89907\n30718 97256\n20513 59118\n61920 98356\n33662 61010\n34015 73625\n9811 93608\n9533 60292\n32300 41721\n6497 73916\n57693 65012\n32908 94279\n8784 17975\n25042 57223\n42253 46307\n14619 87814\n14036 33206\n34269 52316\n31557 60053\n47782 78777\n23197 93058\n31029 37915\n86060 86129\n44667 91424\n19835 55376\n26634 66631\n5129 40909\n17550 37183\n94684 96731\n66016 74200\n17646 88198\n80397 99290\n34778 41972\n33751 40795\n90235 91450\n6244 71334\n54925 64564\n41265 54875\n19009 76002\n36594 46469\n8400 62356\n40326 50313\n14436 99268\n5171 97377\n13607 93497\n36555 41727\n88497 89695\n1444 6148\n1432 53237\n40081 97827\n48734 67025\n27258 92833\n12669 97246\n21743 91533\n1343 16357\n25669 53120\n8894 60149\n56106 64424\n18739 97542\n30519 98315\n13818 41269\n77074 94802\n49938 76580\n73920 89092\n6179 87195\n63369 78907\n2670 55098\n46432 97179\n5419 99060\n8936 24932\n10342 18351\n11147 67174\n29232 76556\n27522 85566\n43402 68792\n16522 37738\n14987 51057\n481 44166\n73379 79470\n12649 50603\n76125 97475\n41961 64939\n16086 97206\n788 86532\n25671 50425\n47378 58108\n16161 73196\n46536 66012\n9638 24444\n14936 91969\n50098 84943\n68998 86004\n17022 62872\n16937 65038\n50823 91093\n58138 61315\n21624 53387\n10429 90493\n2159 37450\n53678 98817\n69869 97180\n55653 83295\n4014 40964\n18539 25311\n3731 73755\n2660 26524\n79708 85715\n6408 81142\n36456 53295\n10313 31872\n68916 84972\n42856 79525\n88198 92342\n8106 84738\n4677 38699\n23533 27919\n93132 98862\n76687 97407\n52152 79178\n42249 57505\n17316 56100\n65270 66874\n62895 75660\n6983 74852\n4151 46304\n45541 85128\n52940 66605\n25463 45239\n17466 83769\n9457 28805\n43234 47480\n54450 88638\n63414 79322\n13715 95900\n24003 58053\n38216 73958\n32062 54494\n4822 93150\n11332 74412\n84729 88401\n20747 60782\n69806 84746\n17927 96301\n57954 64103\n10614 13848\n50929 54986\n41298 82961\n30147 82264\n18655 84855\n14064 61067\n51042 81600\n25248 65852\n37410 49672\n108 4685\n34531 68983\n29054 59806\n2927 81269\n146 62389\n53482 61033\n21886 66936\n55375 67013\n26065 83217\n36580 53033\n2774 14331\n93806 96178\n36203 75563\n22018 65482\n49976 80800\n54822 56174\n26200 64253\n55295 70350\n2165 16965\n31207 62720\n87163 90822\n3126 14024\n581 31368\n19636 80235\n26992 39072\n93253 97249\n21404 32394\n73137 93600\n5795 44915\n29209 46910\n31958 42164\n18487 44841\n22912 63888\n45221 99659\n37920 42120\n8832 22034\n69250 79146\n10376 21854\n44673 48671\n68218 87600\n35154 76262\n69505 87169\n21148 94135\n53850 79282\n21107 61248\n21595 55215\n45765 45892\n58149 80719\n64882 89228\n26687 55597\n86060 98464\n16961 59768\n23061 62108\n4422 22474\n68163 79619\n43958 65094\n42341 50517\n34869 61850\n13500 52387\n54148 79745\n15742 55802\n9717 60270\n24702 99314\n12947 74997\n15965 25276\n85284 97333\n8156 84255\n72561 85110\n19290 86186\n2941 44099\n8061 93713\n47707 86623\n10363 32017\n18483 74560\n8808 20736\n21543 51914\n80621 97416\n21292 36876\n3441 84875\n44723 51366\n10163 70211\n16227 56400\n22905 58719\n62173 65138\n37874 72347\n26972 99183\n25017 59744\n1111 42085\n65564 93893\n56320 84017\n49249 65563\n26558 59097\n47578 56895\n9682 44912\n46490 74128\n63193 83698\n49600 81346\n14653 68986\n13341 72122\n15912 37620\n72222 74573\n1878 79750\n17079 67198\n67672 71344\n53209 60193\n26458 74562\n9613 40852\n83540 88656\n77787 88984\n47961 76569\n89538 91818\n43412 63025\n16635 88422\n49656 63757\n15762 73345\n35608 79776\n17853 54787\n7637 95191\n75591 91441\n43597 85712\n64627 70525\n6815 68054\n63769 81006\n24655 54953\n3494 61609\n40990 50266\n35291 46981\n73332 96234\n22664 88805\n39638 85463\n43812 63950\n7561 53427\n18129 49939\n33875 98699\n79310 80105\n781 52760\n4288 29041\n18498 78788\n16786 24488\n82373 92793\n5360 38752\n46605 98682\n56046 84360\n14522 76075\n20981 91144\n1233 54615\n11008 53277\n45462 98817\n5274 12200\n60281 89427\n58344 99782\n2991 46627\n21877 80457\n52689 59654\n83715 91093\n59991 78771\n28822 95789\n28629 92904\n9167 11764\n57490 98947\n5164 76062\n9389 82258\n23905 68923\n7689 11919\n28338 87152\n9584 81964\n50854 63944\n7126 75221\n32972 67011\n34623 74610\n79016 97559\n3876 32809\n2075 36417\n68333 69395\n8811 17392\n42944 75254\n24322 38951\n60155 84838\n38298 40684\n39373 59602\n14163 87984\n5440 17406\n21960 74784\n67019 98848\n40584 72410\n2412 41028\n26156 61343\n7222 37981\n32255 94594\n9661 49511\n15754 38602\n476 6606\n11550 68909\n4193 87835\n30713 99005\n30661 99562\n43853 54488\n37103 40565\n5235 44031\n35442 36517\n401 75393\n25588 77215\n62393 81451\n8639 60805\n83745 92674\n14366 45261\n14484 37466\n2919 60509\n21391 29918\n8449 39394\n4141 33884\n37433 65966\n2135 7367\n46296 60938\n32120 66935\n29187 99228\n64431 80264\n4730 93415\n17529 49603\n1557 14777\n9558 86533\n17331 93328\n17959 81093\n17188 33515\n65041 68391\n51998 60989\n18428 31701\n5697 56353\n55732 58150\n24478 49608\n20765 84217\n61777 66081\n61550 84523\n22175 25487\n67002 89824\n1338 49367\n15020 71671\n40195 61539\n48550 95895\n18901 64396\n4438 14900\n4485 90052\n16879 42616\n16249 38610\n11618 25792\n55534 62819\n53675 56073\n29930 56178\n31336 72627\n4600 23778\n28101 97787\n3812 40466\n45461 64439\n41284 97513\n37726 89824\n885 9363\n44964 97709\n4057 78774\n70796 73727\n79106 80517\n46115 87024\n26114 85921\n44645 53755\n43342 50198\n30268 30703\n40916 75254\n55569 61769\n28022 63263\n19506 54087\n31697 74419\n8071 65995\n66412 94210\n68467 94424\n20953 41982\n15701 44611\n34633 83980\n78205 84145\n53358 71612\n64032 74949\n3789 34527\n6681 26597\n5279 23539\n93105 95927\n5828 84734\n65856 90058\n39380 79792\n4502 33938\n36661 99007\n34180 92042\n67257 74262\n30390 47423\n48987 52483\n22740 98802\n7512 14526\n6679 29462\n52754 72073\n7080 22388\n25553 62350\n23103 77391\n10264 25380\n45372 98050\n28319 77250\n16523 20440\n8196 62073\n66118 66148\n13775 62091\n72763 73824\n28168 36587\n55630 78334\n16199 72180\n87045 90354\n22124 89892\n44738 98939\n21049 74532\n17287 63176\n42769 68403\n40846 61471\n56355 58014\n70851 79822\n65524 86110\n56216 84867\n18236 90602\n30288 66580\n3347 5587\n78863 88719\n18924 93808\n36647 72317\n70 29192\n12608 35855\n84782 87533\n47227 59060\n52612 93361\n47850 52070\n36716 83049\n25887 69779\n3952 14372\n29584 99204\n40673 84856\n68035 86888\n56560 95966\n25181 69336\n38465 95128\n2730 83394\n31480 46544\n52764 54206\n8605 51691\n67339 76021\n85857 97506\n70064 80560\n68297 72545\n67691 87707\n9691 46119\n40072 81597\n46010 58173\n54517 65827\n34607 54637\n15848 31096\n26774 28675\n5252 52989\n12100 12927\n39315 93305\n70080 78832\n10441 70623\n21009 69915\n20979 45219\n57470 63780\n6285 64970\n18637 31953\n50969 68678\n24784 73752\n36589 56013\n53823 73074\n4109 88944\n36754 67400\n19968 75409\n36649 69054\n27642 87405\n69900 96605\n2300 84994\n95357 96404\n12367 14455\n46244 54643\n2965 86487\n61186 84607\n16963 73397\n8680 27769\n1826 74573\n3497 94038\n33629 97228\n47271 82472\n3805 4942\n68068 97926\n67275 72664\n58519 69863\n65119 96126\n31137 60667\n42236 71536\n37892 64414\n1984 63221\n9362 99408\n47670 81458\n87678 97263\n39600 92446\n40981 66095\n7300 23299\n8539 18751\n2781 81103\n47568 99940\n73388 84412\n60935 92427\n44566 47260\n39051 57556\n89462 99109\n79162 80997\n81746 82760\n9093 44809\n23435 34737\n47795 57302\n57013 81285\n21017 48020\n7080 31217\n64097 82104\n82379 97378\n11868 43525\n48509 61449\n8154 74837\n34020 46433\n25619 28192\n34759 49140\n82421 99157\n6 1050\n64171 93930\n85010 86326\n25800 64382\n38787 96991\n23158 66825\n31904 96887\n53928 61916\n7492 35244\n9528 54880\n13301 76457\n26602 57506\n45086 62276\n32188 40004\n77514 95947\n8428 87840\n4029 9142\n65792 69039\n6986 29332\n10082 83022\n14840 41747\n26377 55704\n38160 93913\n2256 25734\n27781 73750\n2534 74844\n11074 17220\n78231 94949\n33151 47752\n53580 85438\n31963 60939\n88336 99506\n49444 82694\n67746 95144\n1808 5510\n1324 62914\n79357 81102\n9302 14638\n2764 4307\n77686 80607\n25411 41438\n39610 88373\n4811 48803\n27785 30505\n12623 35050\n70011 86009\n47598 74330\n81597 87432\n33448 62352\n70782 72363\n52515 97308\n49041 77043\n56161 59595\n1446 30627\n35277 74342\n33944 95447\n12005 98531\n55166 55659\n28818 55967\n43439 55160\n16532 51710\n23054 90770\n56323 64682\n8774 79365\n42397 96442\n41318 51607\n16198 54252\n28116 67204\n27350 94950\n46741 83943\n14152 70853\n8076 53480\n27344 46254\n9445 47466\n13825 59718\n30379 55048\n59479 90471\n7908 75115\n15202 61978\n10272 60878\n26596 74650\n65756 86818\n52445 66633\n28224 91847\n69224 99443\n10405 58273\n11770 87261\n29150 95981\n48841 75715\n51217 79750\n33716 97038\n90556 96892\n31477 65110\n12831 29758\n8849 33448\n11404 24748\n16753 77155\n49248 96702\n42860 88878\n37349 66810\n31313 95676\n35234 55129\n22601 27804\n31421 49598\n8657 28260\n30612 48492\n16751 35943\n81372 87209\n15395 87295\n36452 59899\n47533 82597\n72668 78912\n7793 78847\n54069 60322\n33909 72644\n27175 62654\n69109 74102\n7864 30624\n24404 60623\n8658 61232\n57022 68143\n55481 55769\n67678 97622\n34962 94878\n90098 99756\n9804 45668\n24281 88650\n17883 67769\n47065 98050\n3029 40304\n3355 94661\n58600 99281\n26404 96936\n17743 20948\n59967 74749\n40071 43532\n22699 31869\n1341 15972\n6736 75966\n44100 59623\n34226 66720\n38382 81054\n25149 63620\n42092 57529\n86441 93705\n8018 39035\n50862 91770\n70854 71843\n717 61910\n58953 83680\n43405 65293\n8468 19054\n75109 94133\n23577 87557\n31408 42157\n8669 98339\n2736 82130\n70892 96223\n42232 49723\n38557 44828\n24553 63020\n2421 38620\n13999 52988\n2309 82837\n16422 57982\n37215 60601\n7964 94499\n24783 72604\n60135 60475\n64169 98966\n55457 73493\n11635 57931\n43209 76651\n56612 94506\n45388 53118\n13051 96020\n42349 82821\n30147 67183\n83112 88225\n22582 41643\n17447 31623\n18313 91050\n1183 79251\n3658 74184\n80181 93336\n47680 79273\n23366 34861\n15152 65626\n42438 43118\n37277 57836\n20931 72555\n61664 99062\n38448 41885\n20447 94804\n24242 65266\n16639 86120\n35844 48501\n4445 26673\n40325 42355\n54037 56451\n7616 23264\n56413 75921\n33141 64982\n39269 46180\n5065 58385\n10308 58093\n24437 98070\n40226 54612\n970 83206\n9024 50911\n45416 50560\n38009 45207\n70835 88845\n1191 47069\n14498 16790\n34120 76607\n12637 70677\n35601 85215\n13262 68253\n18813 55813\n19382 80946\n29290 80952\n6200 38479\n23734 95418\n66240 87228\n60719 67463\n41184 61544\n50519 50979\n19147 63170\n18266 59140\n13193 45814\n11800 41427\n62280 71777\n59187 79967\n23918 87752\n44564 88977\n328 64993\n81318 97691\n50638 99338\n16316 64059\n12765 50375\n1335 42045\n11191 34671\n3799 19941\n71073 88536\n14665 86807\n41682 55045\n53188 67691\n27743 30219\n7274 35879\n10648 52183\n34644 52484\n8860 75781\n6002 63822\n70900 85429\n65601 70507\n1756 47018\n29952 80578\n36338 45018\n26917 45115\n35685 88297\n36745 86321\n60943 66009\n55574 87396\n87374 98241\n24317 35406\n48980 49395\n18077 54526\n50858 67888\n78303 94064\n80900 94927\n3928 25383\n36001 59103\n4169 28724\n59968 83580\n51240 84754\n48117 60296\n57634 88877\n44268 78476\n34316 87717\n63394 99624\n12837 87462\n12215 94808\n18196 18243\n8545 39942\n6371 70502\n4676 40288\n29247 38017\n2998 27151\n15169 74747\n36569 89603\n11749 82141\n3080 57447\n9885 15878\n46040 72486\n7729 76928\n46062 58257\n29577 43022\n47162 99971\n56072 82747\n72718 89244\n216 57495\n935 72130\n51921 66901\n74996 87282\n69840 94098\n2900 74789\n6565 61133\n1651 55088\n35915 93374\n1912 36235\n26471 87250\n53862 95984\n39081 70867\n87173 96398\n17896 57663\n41582 89566\n15901 35625\n58009 90529\n73604 79892\n12490 43091\n42457 82181\n15744 98387\n22969 63360\n42422 51521\n63929 67151\n69830 69931\n9228 22978\n22508 76817\n54788 56947\n4698 33985\n33623 44182\n41958 98301\n19695 77446\n38053 85112\n80909 82965\n75931 86545\n31042 73306\n43036 47736\n82097 83303\n41887 43983\n12284 80082\n34761 55526\n18445 38566\n5109 64195\n172 70574\n35020 74857\n18320 87854\n84216 94451\n33252 73619\n36821 64509\n35531 77622\n44079 51868\n69257 81732\n25391 57994\n62334 67153\n32384 71394\n69863 72390\n18336 41028\n14560 20194\n8131 61136\n60170 79651\n29640 80106\n19366 75194\n19775 20156\n15147 87488\n8864 91098\n21726 61843\n45430 51119\n85278 91152\n10090 98375\n60760 71045\n77386 84837\n23460 91933\n9695 96511\n44644 70226\n35207 88634\n39882 88201\n34972 40030\n29133 95498\n47165 67860\n38571 54328\n11971 57907\n19269 42073\n22112 61930\n62121 62629\n64263 76382\n93095 95521\n19328 72664\n56736 70526\n39950 59299\n55401 90379\n16794 76121\n59545 62838\n13056 17045\n9471 80468\n25871 40062\n40083 51529\n22309 53908\n586 97818\n971 54850\n72080 84173\n86940 90526\n35231 99077\n4235 72328\n60796 62064\n86423 92298\n53062 71389\n4319 94427\n20001 91078\n35389 62988\n26252 43094\n64465 71063\n58601 68722\n1090 32654\n4966 98978\n12537 93009\n2020 58327\n31674 82195\n38254 52346\n17521 83926\n21087 47434\n1558 33455\n36621 45613\n87328 87538\n58243 90509\n35918 43353\n18455 88819\n55538 75879\n32214 83291\n46041 83231\n63046 67852\n46949 67894\n19841 52891\n64211 97527\n22972 52924\n58600 62759\n13323 79952\n20762 54220\n47124 68842\n5379 25489\n52322 67373\n75026 95470\n4128 65866\n45015 90403\n63795 71848\n57314 67771\n91897 95676\n14429 95947\n90057 91713\n8247 66345\n63333 66897\n17521 99308\n71707 73273\n2747 22792\n73027 83911\n7844 80467\n27154 93803\n5283 68968\n15146 83791\n72992 93151\n1019 60827\n23264 28365\n19764 88930\n21904 85992\n39770 42038\n33458 51992\n4784 49271\n88574 90156\n17319 52533\n45771 67258\n66353 72136\n37159 67661\n27779 73450\n1724 34496\n13015 86265\n7157 35223\n71583 88867\n10930 37770\n19263 37257\n10469 79084\n25589 56065\n20271 41212\n2366 24122\n36212 70103\n11024 70657\n9813 54404\n60208 98591\n43877 94410\n16200 38826\n96333 96708\n61120 63480\n8011 94816\n50247 93804\n27340 58060\n14538 18762\n37616 42142\n39018 89478\n19584 20069\n70741 86995\n72779 89264\n18471 67439\n11720 20551\n25341 83797\n11821 44674\n66316 73908\n45315 88061\n13058 40319\n14721 22653\n34428 51050\n60 95497\n14091 67449\n42663 43462\n22454 56474\n39810 43665\n4816 87299\n35890 55435\n46584 77746\n5777 43553\n5836 92767\n59488 84819\n63313 86975\n39754 49621\n55292 80131\n42130 68405\n28080 85679\n66669 85801\n10410 89801\n29968 93613\n26642 59231\n40962 44199\n75100 93921\n29834 92889\n17653 72861\n10348 98990\n63809 81983\n6378 28164\n41371 85184\n4280 44404\n14952 72910\n15595 43998\n33854 94409\n80582 91194\n52230 75668\n36949 99937\n44263 56587\n33730 95248\n4713 52658\n13257 16716\n5012 32673\n82236 99280\n40564 47869\n36946 90835\n32336 42357\n27076 44172\n87823 91634\n54321 99374\n34291 79503\n19601 21020\n5789 40864\n62549 75344\n16963 79474\n88747 91308\n11405 38777\n3664 61431\n33534 41832\n13761 89117\n30138 82828\n27604 76075\n57504 95635\n13443 92611\n17012 45890\n25725 98679\n35081 38286\n8003 92116\n37304 80946\n64806 86953\n1748 87747\n51485 65286\n26634 53031\n16713 77720\n15972 86551\n6603 40103\n20296 71456\n46206 51492\n75355 84023\n23539 31375\n7626 85901\n72368 96547\n10331 47636\n41446 95612\n3844 38383\n43970 49835\n55466 55787\n24675 72593\n31750 89218\n1934 14129\n65463 88205\n17848 93911\n10602 95881\n47463 65697\n46292 92125\n1963 52933\n44655 63604\n21825 47922\n10743 62924\n68506 85726\n8489 59733\n18946 80929\n4498 91017\n64421 82884\n28459 69489\n53060 97130\n17561 71388\n39218 89435\n76234 98695\n24758 45599\n17669 31192\n31574 57638\n16366 84092\n30120 38101\n11088 43834\n51396 76991\n54308 92168\n1096 24097\n30343 53045\n47389 56042\n1856 12790\n1384 5838\n24753 67450\n59844 74261\n25494 32853\n54346 80690\n9841 34806\n75183 95157\n32505 92940\n8463 57874\n22749 91916\n82660 96372\n25331 55662\n5330 47583\n15948 79866\n7255 67922\n13458 32381\n19847 85302\n67615 88925\n70103 89088\n4328 18483\n69215 85147\n63122 87117\n84847 98508\n28371 33524\n52443 80564\n38746 69716\n68057 85472\n52187 65015\n16668 50295\n75236 81328\n14937 56471\n8488 79045\n26509 82532\n37945 87872\n9980 86073\n9888 28330\n333 30647\n22077 89912\n19132 86442\n16300 19458\n15108 21762\n3903 36678\n22126 90852\n62795 96171\n15525 53863\n6193 6370\n46642 98676\n24012 24996\n9022 70089\n35518 83665\n56283 95694\n65659 82557\n4159 37227\n5386 10650\n63165 90793\n5006 9952\n43793 96563\n16697 86212\n69435 80100\n28513 81715\n6175 84065\n70059 82989\n38362 90913\n58374 95272\n6316 31414\n32629 65892\n55363 94747\n30227 64679\n32077 36528\n36039 39438\n75501 97196\n30768 41965\n44304 91275\n18311 61689\n18174 72185\n66168 84817\n30001 89377\n64559 79881\n13671 62835\n16093 69807\n50723 76465\n43996 97901\n42539 72383\n6680 44917\n23422 90696\n32605 47694\n29075 40281\n3300 77453\n2714 19343\n6 3895\n2822 25913\n55458 89152\n39443 78263\n49116 59833\n59380 85620\n50371 72547\n12395 30222\n20405 77858\n36889 46136\n63274 71879\n21731 47879\n25033 68819\n24457 63740\n93373 95555\n10439 71410\n53919 99474\n33880 96450\n9777 31129\n81311 97965\n15669 37262\n65319 98670\n65084 74845\n3299 43721\n17248 37543\n71656 90337\n86328 93363\n64062 71908\n10433 33153\n27405 77534\n35409 80509\n89000 92671\n43700 79484\n28395 62911\n79213 96979\n49868 91649\n33663 77955\n46213 46827\n47101 68129\n33246 47992\n38892 40329\n64188 79151\n86412 99009\n6642 49486\n28034 75126\n4735 34559\n1698 93943\n37856 58595\n18035 61261\n31757 89827\n39625 83878\n17466 23646\n3425 82801\n970 17832\n40581 89180\n14965 99868\n365 28640\n22568 99778\n24502 49226\n89102 96543\n85448 85776\n24694 35895\n59041 72958\n67606 98118\n9368 69879\n43724 48839\n9372 59053\n11551 54513\n50067 59340\n1825 18981\n22243 94451\n56770 90065\n77434 98938\n38591 41896\n7687 9819\n21420 66071\n78549 86516\n34892 75914\n17930 51892\n11586 36000\n44297 82154\n62009 75127\n34745 47603\n44163 80608\n62358 98412\n24862 48722\n74568 85241\n61046 81155\n28496 89755\n21940 90694\n57726 68063\n87347 90900\n26850 76327\n62815 81977\n13599 73582\n7836 96697\n8288 22862\n69147 73680\n26171 93900\n23555 74761\n25723 39522\n2137 20542\n63050 90715\n35371 56434\n59082 88895\n66792 70492\n47589 71957\n36764 49646\n9855 77481\n64528 83068\n20072 58507\n38894 49762\n50445 71345\n64107 67741\n33884 40957\n30277 97710\n37714 58911\n5537 30631\n36997 62652\n44465 99858\n30475 78910\n84214 90653\n29150 53344\n65286 79942\n94989 98780\n5700 67414\n22062 77454\n13735 70479\n19158 79598\n61210 90203\n47011 59045\n71390 75433\n67516 71391\n49847 90531\n88875 99144\n5997 79805\n15014 94931\n34099 71191\n93211 96702\n9178 47894\n20046 84745\n286 95273\n70876 82898\n47372 91000\n29551 34305\n28960 82716\n55977 68377\n35925 90392\n83664 99611\n23864 74843\n48547 94580\n47254 84580\n77363 84247\n7058 42130\n2743 9361\n14458 79080\n34361 81649\n12153 51543\n236 28742\n24331 57282\n43072 91782\n9332 15864\n35013 48478\n4390 88820\n57867 63433\n51483 52406\n33902 35546\n22656 53143\n85674 94019\n33870 41949\n40619 57483\n16959 54148\n84110 93404\n24028 68914\n53595 72051\n13788 76315\n61558 62928\n23075 40197\n9777 60941\n45917 82592\n35453 40602\n45209 99436\n16883 78864\n24293 68751\n17224 70901\n2034 57084\n4869 66684\n76717 89879\n72421 88043\n4203 53817\n68828 80475\n801 52930\n27809 32376\n5021 88780\n57230 72712\n15105 86610\n9157 26721\n46314 77597\n39387 56142\n80710 84852\n63066 78806\n36802 39691\n15288 20602\n25260 88874\n55655 96508\n2771 59522\n62458 88495\n33305 92201\n54538 94772\n4233 20101\n1165 38480\n21508 82109\n47303 58787\n23581 59137\n51149 53304\n20409 68383\n13828 19581\n39799 61078\n6102 49103\n43108 75217\n34282 38199\n24568 37289\n60727 69778\n42471 92594\n34741 85152\n44139 66587\n51925 83883\n25108 78956\n264 29043\n4113 91163\n55434 88308\n13001 92324\n24663 61783\n26636 35044\n61076 96002\n27781 98398\n32743 38982\n59627 94311\n23510 53756\n20270 42961\n67003 94706\n33391 43496\n59437 96297\n38756 39008\n20697 42279\n14944 59864\n10583 50363\n36304 87745\n53112 99992\n15275 72683\n17155 58457\n16213 44054\n6203 92935\n41930 63427\n9229 69771\n87730 94822\n20047 40053\n30253 48932\n60937 62615\n44330 90987\n45745 72148\n19699 67607\n48842 98506\n2041 60904\n5029 29778\n39685 64609\n7957 67399\n39431 40786\n6351 26938\n6613 67924\n35894 68041\n1417 52506\n77741 90690\n61239 98202\n7898 25987\n43965 53342\n16285 32577\n12616 97005\n82052 83490\n26670 77079\n78739 97871\n13448 84511\n29459 33438\n43955 48988\n25163 81509\n65263 91333\n4360 47866\n81298 87525\n6714 63212\n9095 23006\n41261 78716\n23112 87139\n57287 64548\n52716 65014\n48152 60056\n26977 45786\n12153 46763\n48329 80340\n40674 82309\n60514 74722\n34043 54954\n10698 21063\n32823 54117\n48719 88933\n52599 78612\n37345 58368\n12948 68396\n15974 89673\n65093 84254\n43127 45146\n59170 81856\n72534 89731\n6866 44534\n5348 93690\n34520 43099\n24659 39449\n43734 45405\n13992 71232\n38168 79438\n27345 55765\n69069 75880\n65860 88309\n5167 16312\n2305 20840\n80719 97314\n9530 10861\n16522 86254\n15468 49912\n50546 60051\n14124 23449\n18905 52421\n54437 87729\n19527 70508\n27173 60774\n12174 51769\n23239 91082\n12468 25511\n60357 88847\n61423 84415\n27192 85850\n63657 75077\n8244 26601\n20238 49144\n38221 73185\n31175 54307\n28790 92983\n96345 97479\n3142 7807\n26406 44980\n11292 56062\n8077 80051\n39905 68779\n14958 32287\n14008 36192\n47168 48115\n52837 82594\n14506 29871\n80449 97461\n5867 61131\n12242 54509\n12568 80731\n36746 39488\n23925 54133\n34620 87905\n42314 54238\n538 1447\n16102 40517\n39013 49918\n29156 78399\n65352 82833\n34183 68174\n47521 55693\n3409 57157\n50277 58232\n35135 49439\n52284 90196\n55516 88927\n32291 71311\n3371 5877\n39262 51064\n36762 41747\n39218 52642\n18113 18796\n13644 41160\n9243 24072\n46055 63349\n49929 94459\n63559 92081\n55441 87039\n7351 34924\n12630 34914\n32903 69409\n34986 97693\n13392 52943\n50658 58306\n53569 68266\n17333 62114\n25464 49353\n39573 70056\n22129 93391\n15714 49355\n2879 19965\n66895 76809\n6895 11126\n83498 85422\n40292 54379\n16549 29047\n31216 88116\n4021 85052\n48775 99581\n7463 79718\n5518 63971\n58565 60677\n44685 90437\n79180 85023\n20819 83602\n25562 66887\n72156 99964\n38937 56952\n40236 47856\n76845 99509\n8457 64761\n24026 71655\n67400 82319\n68864 76486\n64749 91619\n2753 77065\n10899 18423\n29980 58161\n38490 87726\n3665 34148\n65752 78963\n28794 82234\n26635 46284\n10885 27028\n11775 89147\n48180 83828\n67746 90918\n46040 58777\n48281 62542\n45196 85169\n4929 61899\n40539 77600\n25930 64631\n14662 62936\n14632 22958\n9691 85581\n48483 71615\n89875 93086\n41518 76360\n59533 72733\n24759 27235\n44374 55564\n22483 92700\n11633 97299\n18818 74365\n11158 69948\n546 26342\n15932 79195\n40335 47359\n44304 61010\n61633 91580\n28426 65744\n24890 84300\n44347 80901\n2153 72798\n32718 36098\n46938 60536\n61924 67942\n5012 74017\n26355 89905\n17192 20680\n44000 47075\n8570 92364\n61962 81561\n5482 85148\n65415 75672\n10989 73906\n11749 86264\n15756 23204\n22534 84199\n12169 69810\n82209 99663\n23638 41564\n80969 92506\n59290 90142\n16535 42573\n73005 91540\n61527 61647\n43927 54905\n49330 57182\n17612 99898\n34010 83230\n65337 85702\n6449 56087\n57319 91071\n52958 77348\n30548 53217\n71808 81796\n22048 41754\n64374 67182\n1732 46428\n63187 86081\n10109 31221\n23241 47340\n56513 86631\n9606 46820\n6848 75490\n15163 74067\n28181 47616\n34284 86932\n4393 48228\n15504 42435\n17087 32579\n57827 71095\n3405 27079\n59050 76886\n57029 61304\n27428 78511\n92052 98055\n53268 69767\n3659 20173\n47994 84482\n79189 99614\n26037 79752\n38741 53798\n4237 47238\n28487 76050\n36589 69621\n37913 39047\n14449 20878\n36873 93811\n24209 59157\n22258 59038\n4433 57215\n77817 79822\n923 32791\n11366 14827\n14887 98060\n51512 59244\n25918 56133\n64675 65826\n34693 81473\n14198 33546\n73859 81896\n1843 74377\n9015 52060\n36012 87297\n83309 99461\n17326 66400\n52546 78363\n11971 22156\n88885 96157\n7592 94264\n33860 92058\n44829 88505\n49503 67723\n28603 57680\n50928 89570\n66891 80462\n12561 13985\n6317 89258\n14661 60095\n73005 95451\n71348 78948\n15956 19035\n70090 77221\n60690 99315\n1239 96781\n14350 46694\n47890 69812\n63776 91665\n55545 80302\n20700 77631\n18305 74590\n21616 27381\n1323 15361\n27852 55815\n47182 52318\n36412 63652\n52211 64999\n70734 98750\n69870 72376\n66147 79875\n29221 91103\n10042 35100\n55888 85371\n33726 70866\n54026 93893\n85509 94263\n39698 78112\n18218 25175\n30285 36996\n15706 87204\n57570 70713\n2127 6311\n30465 73100\n14385 41116\n7693 56151\n20987 43730\n52590 81093\n51920 82658\n57196 78813\n31363 66045\n6570 76220\n3383 14321\n4767 68352\n8636 99341\n15248 35389\n60433 61746\n7013 56925\n62262 90353\n31029 75352\n10686 31195\n11906 93495\n22486 23115\n8886 55590\n4027 16093\n88304 94035\n11541 69896\n36908 76544\n6265 6946\n48850 54728\n77165 95143\n19514 87480\n18419 31178\n5669 9968\n46777 77920\n60779 69141\n1798 81961\n3564 20921\n54277 92604\n21859 76938\n64198 88543\n18636 80161\n33800 96400\n37732 91058\n49157 99292\n73542 88999\n17642 99677\n99261 99796\n65760 78676\n31290 85602\n10146 81481\n34507 38114\n5462 23761\n54356 64009\n63838 78335\n78129 85009\n68594 78532\n44114 66951\n34025 57233\n35951 46213\n16436 43623\n7423 69617\n19922 63755\n45869 99678\n10718 15400\n77803 80722\n41039 55563\n11239 31527\n24722 54145\n47847 97856\n78437 86305\n4279 55542\n52878 71867\n76899 86405\n82118 83859\n18986 94325\n3273 24246\n2913 94574\n43758 68853\n55027 70851\n64179 70014\n9159 59603\n54814 56551\n59961 96344\n37641 70295\n579 43784\n23950 47299\n16621 31684\n35831 49467\n7774 46364\n38928 92834\n25904 66100\n60868 89834\n87953 94822\n21552 78092\n44182 84727\n22226 92579\n36961 47118\n73395 74042\n42186 72239\n71591 93279\n8637 56292\n39852 44583\n7293 62829\n69088 75964\n25635 83473\n498 84776\n20533 77687\n35227 88346\n7104 48700\n73710 79235\n22917 97620\n20484 29875\n85332 88786\n6765 35008\n35946 57580\n51059 72772\n40970 93727\n60681 79639\n9404 68013\n67449 76144\n36131 86813\n2836 36836\n59196 62903\n50984 63043\n34280 62391\n27653 74068\n41227 41838\n51795 97835\n32610 99500\n4694 89246\n78173 96769\n47573 94896\n21584 96869\n7380 9650\n57127 57196\n55873 93885\n7467 28424\n319 42239\n52383 54272\n38597 43677\n53163 70014\n36191 70935\n286 23209\n44071 63932\n25229 80008\n40371 54037\n27186 73322\n8312 64957\n49445 92854\n24513 48253\n41630 61234\n11801 57223\n43697 93402\n77138 89245\n74446 78155\n1291 1963\n41120 41335\n18585 84851\n10146 41124\n56085 96950\n26657 43248\n9821 14506\n61963 97206\n7198 23002\n78391 95646\n39551 52581\n44611 48382\n91999 99796\n2757 94158\n4371 34799\n15055 43638\n56736 85306\n88831 89309\n15332 90987\n76574 83467\n25579 25859\n25461 54780\n20416 29242\n28577 44585\n24899 33391\n59333 95454\n27515 47925\n7300 18149\n9112 10887\n30993 78586\n1289 95801\n16300 99689\n11337 65184\n57475 64960\n31741 47237\n8464 54441\n38107 65197\n64495 69561\n16478 67773\n38107 82480\n44428 47689\n15164 89898\n82452 90617\n8427 69610\n34273 75110\n62308 93458\n61800 79259\n9845 64518\n21795 65841\n32994 61908\n4418 36314\n949 21163\n3823 48667\n63146 86842\n29475 31978\n63416 97151\n75764 76759\n6565 50097\n20494 38051\n34987 57930\n7078 80004\n38376 88778\n14453 86813\n6948 56443\n24891 88420\n51115 92363\n31213 69070\n64786 75077\n92163 94400\n7531 35041\n10989 62669\n347 10747\n68664 97841\n61066 97463\n61178 89950\n3750 50805\n63115 73363\n93744 96776\n10657 55528\n69643 96910\n11202 29791\n1922 99605\n82249 82576\n338 77767\n23524 51511\n58169 97034\n2430 64279\n38682 83786\n32364 71438\n28545 72238\n43284 91517\n10585 58803\n6070 49839\n31648 69996\n414 55204\n15865 78310\n48212 68092\n21420 54729\n76543 92297\n80158 92433\n11910 71386\n20732 97343\n23915 93192\n23496 86540\n27909 60841\n90624 94348\n10948 88729\n37782 88638\n34921 39252\n21190 21902\n35113 84993\n61145 79586\n61844 65159\n26714 47616\n24472 42325\n9019 48436\n86348 89367\n11394 23901\n26225 93303\n26664 37942\n19688 83467\n37625 63660\n9916 34493\n8376 46864\n28052 98783\n89 91872\n925 25182\n41205 63274\n59653 69592\n40673 65551\n93546 99970\n28123 88921\n70769 88895\n51555 87788\n19214 45173\n23569 91742\n59704 95650\n50786 86260\n55145 70571\n42787 82924\n16032 36374\n36047 41420\n8077 67090\n17472 82642\n8345 15067\n43217 47692\n26166 45832\n3475 87027\n28366 30051\n64199 99311\n15861 69938\n40708 71445\n29710 81214\n71242 97394\n46266 69029\n13617 72606\n27459 53212\n30418 38709\n19352 27575\n8096 37317\n26005 53095\n16613 36119\n24914 61646\n5849 93454\n8806 12882\n36139 94365\n61142 66061\n53462 58296\n38234 47157\n21417 84923\n1474 27531\n13017 21445\n8148 65247\n7459 22514\n45901 53245\n18456 24382\n60879 93098\n27444 89303\n26621 43557\n11619 20100\n22802 56857\n13806 63819\n54208 73605\n50227 80584\n18434 45552\n8001 41290\n18633 33728\n52519 95920\n67541 68420\n12826 82125\n54554 99752\n74212 86925\n41909 75901\n41349 59137\n44161 70202\n53372 64623\n90091 99163\n34912 76197\n59272 97710\n10863 29718\n15383 84184\n2575 93652\n25461 54130\n5886 50924\n34057 53414\n51100 53516\n45926 58213\n63852 86304\n7088 38437\n71433 72883\n18621 28426\n37355 46657\n42439 84259\n23495 82840\n34779 79090\n21850 97576\n39945 47269\n182 4749\n2276 46374\n66945 75431\n36500 68108\n39319 65768\n76978 79945\n43777 64923\n6242 67837\n10903 40041\n47012 99804\n78965 85114\n41936 90347\n66451 93945\n59172 81015\n31575 84267\n14816 58496\n40047 46944\n38980 76638\n41750 81389\n574 80386\n20437 76686\n16409 80360\n30912 32688\n21796 73354\n142 91542\n66030 95916\n34938 49396\n63113 92190\n29992 45099\n48070 73571\n38519 55403\n15095 94980\n19866 79092\n27627 84260\n38836 62950\n5331 29312\n11191 34618\n27172 64646\n57199 81326\n43771 55735\n38849 94765\n25107 40652\n44949 76284\n15935 98886\n3345 81336\n18642 47360\n24576 48485\n14495 48779\n9258 51922\n4743 69320\n23296 70571\n61119 88868\n15347 50895\n19571 62136\n66102 87731\n63278 71606\n14842 85168\n13439 70793\n71281 75616\n29181 31078\n11486 70788\n60084 82496\n8293 69486\n63262 71250\n26793 40142\n3507 97295\n67555 68212\n1302 34314\n19135 52992\n26787 49133\n41338 49110\n34801 73814\n13828 91613\n23317 98932\n36550 70442\n16095 52738\n58545 74476\n59734 90717\n83433 92390\n48571 66975\n33141 34262\n63402 69054\n21538 48397\n37629 75648\n7835 70734\n1212 15000\n18467 49641\n32110 67567\n2966 99927\n4341 74419\n24396 62619\n31219 42833\n9364 16412\n13523 94654\n19375 72337\n4687 7420\n42470 46539\n58431 59209\n75468 77412\n5949 54914\n52959 80699\n5021 41177\n7138 86118\n9603 31415\n53743 65352\n58170 72774\n8190 94598\n59190 70824\n22751 41603\n25611 26267\n78583 96428\n54575 55891\n29251 29864\n17254 36348\n30240 70124\n29711 61948\n86011 96258\n11398 99741\n73127 94510\n31969 85653\n41332 51557\n34594 86126\n63570 94821\n34284 43650\n4397 43407\n73374 81653\n64216 71048\n85718 88632\n3197 76126\n31516 86486\n9015 17768\n89582 96036\n27800 52130\n22151 36274\n53752 98257\n70724 74584\n10013 90617\n57461 77193\n40935 50481\n40471 72448\n76106 92696\n32482 68251\n72986 98190\n4064 39193\n52092 86443\n47656 65426\n13700 16676\n91235 91886\n21712 24493\n27661 60155\n22971 81420\n11600 14681\n57661 78930\n7775 28757\n37337 43900\n34561 54265\n64707 66337\n34888 96822\n42747 90520\n39471 66061\n54271 94972\n66900 78143\n5437 44254\n58904 71549\n1780 31461\n12518 27540\n12449 13561\n59611 87785\n40746 97772\n17175 49866\n60631 86813\n31511 61987\n9999 43568\n47958 80940\n42559 50423\n38196 76584\n27427 72447\n58932 80420\n2208 34600\n12410 83266\n11456 80969\n47059 50586\n31203 53086\n39136 78587\n65675 79153\n18208 64259\n17971 74569\n14526 45182\n23105 88160\n11837 74417\n49817 74999\n48176 58966\n14191 82329\n8996 33407\n49925 56071\n30262 89027\n72046 74257\n10269 55482\n68970 97677\n103 13438\n78256 89538\n16301 36471\n33039 63409\n10258 32970\n23372 37196\n4267 7258\n26610 94961\n33780 37295\n92920 98777\n16034 57800\n24087 80946\n5458 45499\n8466 16680\n46396 97250\n3724 59253\n19840 76208\n11668 89392\n18810 23415\n9090 44510\n40770 57439\n53509 82083\n79418 88058\n28052 37845\n4792 61961\n65085 68521\n18850 61280\n41200 64526\n41774 63663\n54205 70665\n36423 43455\n57621 73166\n36126 52430\n40381 91259\n67811 85916\n6990 8482\n58808 69154\n63802 64547\n642 35716\n49929 74065\n49924 66964\n12750 33945\n26153 82156\n5771 81239\n53419 83945\n12190 73675\n32226 59937\n19789 57686\n45042 93684\n56954 75199\n8064 22899\n29639 58826\n26311 32131\n15250 39331\n43344 61125\n7312 43223\n8530 24161\n95170 98092\n53257 90547\n65412 69525\n34626 94905\n35171 79423\n32535 96013\n31832 61514\n81410 90021\n16898 32989\n30056 37292\n6033 9583\n29269 89274\n51520 90770\n54399 79580\n16697 72697\n18024 43250\n4720 53884\n20840 91612\n4289 14534\n75999 81700\n34544 70120\n17765 78111\n9600 43963\n16905 82835\n14512 36587\n24873 56297\n82615 99829\n90248 92953\n29746 51563\n71979 84786\n5596 6773\n48391 90921\n47234 66775\n475 64370\n63927 98046\n59652 79550\n29077 56498\n26042 58734\n3861 89795\n52221 58517\n29436 83472\n66178 72074\n12358 49032\n59449 94784\n39061 57162\n69876 84220\n5374 60229\n37679 45688\n50654 81088\n17204 47177\n26518 33856\n9514 17915\n20246 73030\n29290 63057\n16551 90602\n9612 70509\n49310 58247\n17412 81136\n60591 88588\n3931 15512\n25543 91203\n17894 84320\n78326 79099\n22746 86124\n7875 93524\n11703 37683\n28313 61854\n18944 36852\n30119 86073\n56699 82774\n61234 93093\n51868 62868\n51905 85432\n49262 50536\n51419 93119\n27290 88128\n33121 74029\n43124 75437\n16880 60865\n65620 90937\n9866 41211\n20116 60146\n62104 94433\n19931 83863\n21611 47677\n53369 80391\n11754 13816\n13285 72117\n22515 44704\n23980 41341\n14195 62878\n46145 65690\n14232 56920\n38749 78377\n28601 98935\n13652 39443\n68570 80221\n71825 96355\n2303 94436\n55790 69302\n760 66040\n81918 94102\n30963 49303\n4054 10267\n79820 88935\n5943 69954\n46228 91412\n52112 52172\n4904 10025\n5513 92519\n77077 96887\n7411 82784\n10666 60555\n9943 37433\n49229 78785\n44637 76220\n40123 78126\n21599 39323\n82429 83314\n25871 58412\n10837 19934\n44176 71485\n24967 62024\n52032 88364\n9900 15575\n26452 36217\n1300 47666\n55472 61837\n36547 56832\n788 23898\n64308 77717\n28412 42645\n39342 98617\n79421 87624\n3491 34382\n40065 65075\n12049 21690\n12068 31974\n39773 75177\n36653 61586\n29421 88236\n12279 98555\n1346 85797\n1469 35425\n56905 65762\n20260 22067\n29984 70095\n17411 24357\n25416 87029\n2090 81108\n43608 77098\n16636 25450\n11882 98022\n65290 83691\n71960 80193\n16884 22032\n25537 62673\n27016 40539\n51779 74613\n9207 86688\n2191 76246\n55227 78811\n9802 19675\n20893 81302\n27352 32748\n56912 63003\n76043 94533\n18136 54168\n47263 71922\n12192 22855\n29034 40039\n16939 19976\n10541 30203\n57076 84874\n24162 50212\n47786 93762\n48086 69516\n76624 87989\n6947 43780\n33961 90087\n30055 75230\n9267 39561\n3301 17071\n67463 77938\n14290 76649\n22132 97600\n52582 76078\n14783 93631\n4562 24849\n13074 45800\n24358 93720\n15809 54831\n698 70106\n1590 69926\n12135 13043\n31889 92216\n19880 81875\n73620 84738\n62412 68014\n56751 97082\n5514 89376\n44249 82151\n45225 99926\n36239 85658\n50984 63996\n9778 92031\n65404 98132\n15103 63362\n58942 97967\n30519 71863\n6964 63657\n63785 86971\n28101 64393\n39004 72123\n23060 77313\n32579 84563\n4844 19595\n6436 41865\n59268 88058\n13999 35601\n60289 73323\n20052 89740\n26063 68937\n17043 24605\n2582 77103\n23646 27314\n6868 70532\n25802 45140\n58159 99349\n40060 52694\n55102 56506\n32424 37989\n8586 31316\n70983 89646\n60738 87093\n58216 65988\n1924 53119\n46355 84319\n26933 40414\n14771 31613\n7497 98331\n6515 54594\n32630 93358\n76519 88436\n55924 94643\n89730 91431\n26633 76707\n54719 82417\n48143 61536\n30953 58838\n22789 66140\n40237 75350\n19245 34850\n3636 43494\n57414 96171\n90235 93697\n42127 96673\n27617 47414\n17407 88966\n15825 97455\n53370 71526\n37848 97894\n46051 73924\n3629 7653\n17013 34992\n14733 54994\n4276 26743\n16497 39431\n16908 92538\n57868 78859\n75657 95455\n88862 94486\n48971 59370\n57373 72067\n13385 16381\n47119 74364\n17505 57923\n19788 52896\n15439 35385\n15910 35056\n1098 23590\n27931 97465\n50233 72333\n63602 72374\n48137 75372\n4676 55414\n25176 60455\n17532 63462\n74424 90329\n19894 98271\n45334 61162\n35278 53691\n75669 80863\n67745 90540\n63840 81959\n35304 83351\n39083 73216\n11608 46801\n47903 61450\n453 86506\n18991 84775\n12779 36326\n24373 97893\n9906 98239\n59319 93643\n73385 81837\n44051 82560\n1089 73412\n24994 74606\n27682 51364\n4180 78078\n29964 71461\n15613 30497\n19724 31703\n55435 93551\n15900 92339\n16339 25403\n13790 76205\n7990 37306\n34782 38657\n9697 63473\n38996 79325\n34347 99919\n50106 97000\n17540 31263\n39673 59804\n23741 40730\n37967 75807\n1753 83838\n35260 54603\n72541 79997\n51950 97828\n28580 69903\n55291 97967\n69057 87856\n17646 19055\n37109 71297\n74550 97124\n4585 33968\n36979 40904\n12777 81934\n50104 86179\n50410 82949\n9966 34494\n43570 55697\n24442 39771\n33876 78245\n18478 20895\n12052 97968\n40528 41681\n3713 38562\n4927 21502\n71830 80463\n7822 24289\n19525 74286\n3061 13038\n18996 59195\n80052 97422\n43268 86927\n62612 68631\n5404 79354\n79881 85135\n8569 49060\n50188 65696\n32864 40668\n5737 12963\n44363 57487\n5951 98816\n2554 26475\n2764 30942\n49782 63060\n61954 92857\n30317 48219\n21590 69595\n58956 97473\n34965 63855\n25545 79793\n36927 48699\n75498 79979\n35199 69961\n22607 34598\n28384 62502\n1906 60149\n10513 42029\n56574 73530\n21478 97393\n79869 92779\n7527 16573\n92637 93838\n21873 36299\n24639 36150\n8517 33843\n53273 88320\n75325 88860\n36035 44195\n85294 87198\n5092 14876\n24005 43509\n21291 85688\n9624 50481\n14711 88905\n53568 96518\n65317 79982\n52118 60579\n3996 71514\n41323 96932\n79944 97908\n13687 45058\n55400 71699\n6027 6207\n36185 40738\n42762 71595\n51502 95078\n3284 79430\n58328 94470\n47825 84046\n68164 80224\n68379 85731\n33259 65619\n53610 82666\n27500 77247\n30049 94556\n44668 46467\n6354 12870\n8744 13724\n60876 89752\n52899 78245\n14683 42778\n91863 94430\n36001 82727\n64315 86384\n51867 96644\n59261 96621\n22376 64356\n4325 58811\n86585 96736\n37510 73552\n40655 78863\n6603 85426\n3533 18079\n4105 15929\n41413 84907\n87604 97400\n36749 49893\n38236 72767\n67024 71706\n63476 79174\n9782 65827\n3414 67620\n13664 63944\n45797 81831\n27412 69004\n246 11685\n35844 68954\n23616 28698\n173 24910\n15741 76331\n61473 64932\n32323 62087\n33123 74467\n47103 88692\n20243 65754\n12725 22638\n2063 54324\n55383 89837\n7078 33544\n57872 94143\n49427 95624\n918 33514\n34595 86309\n25949 64725\n62276 96382\n5370 14215\n57409 58418\n28579 60448\n14247 18030\n17452 39128\n47478 74411\n3900 87794\n39421 49948\n20224 92103\n70985 97214\n9694 45250\n11345 71425\n29137 35652\n66345 82758\n15609 33957\n32675 92921\n1086 25302\n16704 17871\n51484 69957\n1266 95858\n47769 54594\n11277 19186\n27173 46517\n27309 46458\n28540 87201\n1851 29301\n9175 64095\n84928 88174\n7720 59160\n50731 78744\n83007 88504\n63289 67275\n74902 77827\n39419 75585\n11279 28610\n49845 53295\n7802 70707\n27694 77934\n31229 55327\n43678 93051\n23326 33550\n37464 83958\n44392 63090\n81527 97943\n61067 61484\n28738 76410\n2576 24363\n24361 52184\n71192 97954\n58825 76867\n3915 16210\n37904 57402\n21814 25208\n1031 5932\n51829 98790\n24998 70508\n37451 84688\n20748 46632\n20647 30245\n67007 77220\n81169 81770\n26514 29133\n62846 94421\n55529 76373\n7019 13645\n9841 25822\n54897 69466\n20691 73713\n45930 93260\n27568 60066\n34177 40602\n26269 90748\n6680 91955\n38721 59188\n74238 75781\n23887 45739\n7073 56085\n6968 52635\n28679 59062\n50543 51915\n4913 57550\n61103 93493\n28157 55858\n12015 86811\n58436 70526\n36443 66814\n39681 45694\n4468 36170\n25614 85398\n48316 80398\n62277 84721\n29438 96622\n6710 13594\n64301 74158\n76482 76547\n40312 66366\n37103 60757\n16589 60214\n15148 33401\n1901 11433\n46946 55546\n3273 47764\n41225 89876\n54906 67741\n714 76890\n79646 95628\n5376 80760\n22044 55184\n17283 18287\n36950 73310\n34276 41518\n20611 89252\n14258 38717\n10376 52398\n8391 43264\n38198 46479\n85537 97316\n8776 29554\n16179 32621\n25724 31406\n29553 49074\n16409 78180\n43510 97037\n12613 80911\n20946 53799\n56662 70166\n2855 61472\n12527 89820\n53835 65788\n753 57132\n8837 42957\n83312 97426\n2687 75271\n64992 99753\n20574 57307\n7587 53262\n9176 45155\n52201 77355\n55308 92277\n923 95926\n37079 53889\n26059 44570\n19736 44796\n84730 87219\n29785 37682\n22413 79104\n46468 76322\n18253 53743\n53795 88801\n8815 83416\n49364 87033\n13398 90166\n1978 66297\n50255 56250\n12109 36390\n10174 33066\n28689 60966\n3553 91026\n56270 71256\n5297 13782\n19781 36188\n13088 28945\n33443 88610\n4218 99520\n31400 32294\n80216 83125\n45722 97515\n29782 96125\n14316 29607\n15740 20313\n2413 80194\n9743 73067\n29635 76098\n4739 80695\n68399 68431\n29060 42650\n43634 95658\n30559 42012\n82267 99295\n34496 93354\n34953 58376\n22807 36440\n14851 20667\n67019 97593\n9706 70479\n2744 53481\n44720 70403\n92566 94035\n20504 29358\n44783 73551\n87453 99151\n13341 87656\n41824 45274\n4833 76539\n13895 19781\n36461 82996\n24315 41988\n21734 26261\n53499 54093\n10208 86484\n6537 97320\n12445 50729\n85686 91986\n8332 51504\n62207 96036\n28494 78061\n36096 99742\n66339 67810\n47093 83713\n1339 57253\n10763 67681\n59031 61111\n60548 97255\n10595 90500\n2976 72765\n57975 77705\n35149 51674\n77110 90705\n63423 93518\n10847 12187\n87796 94095\n31682 69954\n17185 66282\n32125 68778\n10893 97674\n40292 79759\n9212 78671\n15573 22171\n8600 11259\n50619 77333\n6821 77300\n26086 26763\n76148 86782\n7584 56596\n15553 18527\n38140 73258\n22850 42876\n67012 82738\n42357 44624\n75872 76658\n71695 75871\n33901 58805\n35403 52289\n57386 65397\n7069 33214\n77003 81306\n37856 59982\n3094 59600\n2237 39674\n8660 90872\n47190 98761\n54346 84055\n19366 85979\n31592 73138\n38730 88879\n30208 57160\n7094 85556\n5232 24124\n5206 94353\n66834 94999\n66359 66506\n58565 59478\n16489 91342\n27148 72032\n78850 79607\n6983 83080\n7311 63207\n1497 12739\n39978 83734\n6009 33030\n11240 18258\n4223 40358\n63994 95416\n14578 25980\n62670 88536\n24838 63394\n2018 25901\n45137 91872\n88199 88902\n38060 60682\n54754 86801\n8050 75137\n4437 91322\n30481 84600\n1896 42726\n32808 68783\n92003 93547\n5419 18556\n63033 79134\n11010 21262\n25937 75059\n11400 33437\n51643 65515\n39548 80197\n4528 80866\n7520 93879\n14250 94649\n70987 73959\n10415 89082\n19467 65037\n12234 76539\n27834 32245\n15364 98552\n60746 73627\n50627 53302\n4849 33723\n48999 73051\n14400 41697\n60247 92526\n72665 80756\n17355 91165\n47760 72478\n45680 81507\n61684 85576\n68489 72380\n67933 70297\n15413 70766\n49558 79777\n86031 97716\n1427 92185\n46589 58068\n84102 99114\n7721 28033\n33054 72981\n46226 93585\n29342 40422\n65315 79551\n5693 10183\n17515 38132\n34832 78728\n21453 22266\n4168 57291\n57465 58426\n3358 46813\n31806 92021\n38198 91255\n45135 79734\n4747 46541\n15185 66182\n58873 90399\n43484 60233\n10272 17999\n19501 22255\n30585 77204\n10676 29919\n27254 32353\n29038 96381\n63072 64945\n57304 70955\n10161 29956\n71035 92466\n12217 54055\n18209 31065\n52833 91962\n59570 62419\n55722 61083\n14322 64839\n1016 2024\n72827 74501\n26805 47905\n55246 61556\n73710 96642\n7303 12048\n59912 60106\n8235 75626\n27534 66946\n14542 94551\n25523 52685\n55969 90809\n28256 47213\n59830 98163\n24280 69368\n6118 20047\n44014 91145\n73520 79143\n1328 62650\n16679 19221\n51993 65377\n6059 8219\n42090 56679\n6268 27586\n74543 84485\n48636 73719\n53989 66392\n25089 59872\n2213 8654\n10467 26976\n68053 69729\n1110 57894\n50906 95979\n19785 49068\n59594 91181\n16937 24716\n27418 72332\n50896 74687\n3600 45189\n70840 72299\n34771 71117\n6978 80548\n9260 20113\n44388 66982\n37641 80682\n6470 51054\n26494 94850\n5262 82661\n31743 75127\n24154 92489\n67858 98518\n41043 64822\n31015 41305\n36257 38299\n64951 69624\n16831 25323\n16392 86315\n352 28611\n19698 24205\n53254 78474\n2323 43474\n16678 85468\n34120 90541\n71769 91731\n1052 95679\n16740 67768\n2997 64216\n54776 78413\n24001 52917\n84724 88661\n27525 73157\n56354 78666\n3130 96098\n71176 81567\n8371 82038\n16355 42554\n34116 46704\n39883 61422\n485 64857\n3233 47732\n25871 76372\n43463 75882\n35940 77402\n18671 91029\n10965 71066\n37959 82132\n8786 41132\n81993 84495\n9761 58873\n53057 69402\n24851 78675\n13447 69502\n40456 67099\n63733 93013\n18449 50825\n41605 62213\n63025 64033\n60103 73618\n24261 39871\n10473 16779\n65004 81398\n10984 64989\n5069 46680\n1172 51959\n17483 60932\n45843 75250\n25901 38157\n15917 75705\n33435 74336\n7605 48954\n22491 50939\n49031 82299\n46351 80988\n214 23387\n85272 95896\n82507 85388\n60020 80313\n41549 69061\n10623 27747\n3231 92628\n38589 83047\n46491 46643\n16595 42402\n13209 96496\n32324 43397\n20473 55378\n70045 90504\n16161 77252\n40219 67249\n50370 64277\n23254 48663\n12506 18334\n45482 97815\n36062 81614\n14946 98733\n28644 65983\n44723 53265\n60594 62805\n53192 54402\n67379 85839\n63200 98518\n15478 66709\n48499 50359\n37840 68585\n2423 39461\n53379 61783\n10239 87892\n2350 73603\n72182 72902\n38850 85719\n23379 66580\n20000 60431\n82476 95944\n48919 50893\n10649 18937\n32695 55596\n90476 90870\n23385 82893\n69836 91129\n54384 61163\n10134 69847\n34253 39379\n66589 69007\n62901 77589\n5559 67941\n19591 85968\n1945 21171\n42306 68160\n66709 71803\n61533 67265\n8109 96246\n69431 91856\n38640 51960\n42926 87188\n60687 94664\n72765 99596\n29683 47112\n13478 15790\n88021 98315\n57584 89680\n28968 34312\n10449 66197\n36741 53214\n79525 95693\n71219 72931\n48925 96648\n31424 77879\n41125 54803\n8642 56684\n10172 46590\n18492 19908\n55908 59960\n46485 78816\n37661 92593\n31417 53272\n92368 93715\n80371 89654\n3405 28400\n18247 71246\n43591 57474\n7115 63203\n59078 88554\n32313 74935\n51702 52711\n44944 65457\n550 55514\n34679 99563\n20221 27705\n32901 37055\n72496 97801\n53890 83932\n74368 76930\n1079 73949\n20694 64071\n17921 73228\n58720 76822\n61916 67592\n3808 73273\n2123 99928\n35853 80224\n10982 55005\n16987 26816\n9104 71232\n2607 14445\n34615 50945\n29218 42294\n34133 73376\n70446 81395\n67776 70338\n65361 84875\n42804 66878\n48786 64670\n73662 73900\n63258 70258\n16215 55917\n7590 87444\n8930 34828\n47499 58123\n4634 6707\n75571 90088\n4114 22866\n13010 82691\n48976 77902\n26034 35486\n46609 93223\n4166 52697\n75965 87537\n17028 67234\n9803 91053\n6401 24359\n23299 98789\n23708 51749\n19249 59716\n26304 83500\n18690 89421\n14504 89820\n6588 37687\n16939 70572\n3368 37858\n38770 86952\n17607 54058\n42932 85876\n42657 64304\n91055 97147\n18968 21597\n60253 73824\n43332 89830\n3787 66330\n49332 70996\n17354 43056\n9356 19505\n70855 75470\n80423 97224\n10660 17235\n18751 38410\n6175 44246\n77345 84791\n43602 45627\n71662 87466\n88259 90681\n14726 52604\n14769 70502\n3926 45677\n19392 30202\n56944 61039\n18249 52373\n2357 84087\n18841 40472\n57511 77991\n2845 20801\n13287 23376\n4381 47823\n36476 99938\n7302 32474\n3082 33437\n52100 75551\n13948 92641\n51999 69448\n63247 82561\n63435 94575\n29210 54661\n639 32683\n12438 76555\n45993 86430\n26905 32915\n27452 58337\n26503 85398\n3055 8286\n3107 19247\n3125 87558\n28863 34773\n16085 32754\n68134 96456\n24128 43361\n57377 90356\n9606 39067\n8834 55696\n78387 79338\n61122 99191\n62964 90904\n809 31326\n61920 67942\n22038 65371\n51401 97908\n12737 87422\n62261 98728\n76797 93543\n12224 60214\n87590 99985\n10277 10886\n13410 18959\n20168 68553\n58328 58986\n38600 72126\n19958 87612\n10070 72320\n43192 85646\n17530 36914\n37148 86225\n57153 82557\n64925 97704\n45199 59701\n37989 52155\n63146 72259\n76415 87678\n33762 48967\n47447 83402\n49605 82717\n26227 42653\n1584 33291\n2712 63504\n5374 6426\n42624 81002\n67796 86438\n2123 22751\n29947 36068\n47884 48801\n42612 59164\n8963 75661\n33068 98557\n33260 44310\n15701 26905\n93186 97383\n5814 65496\n26533 50093\n32497 34492\n10601 90463\n1097 22638\n19040 29293\n15125 61707\n62736 75005\n10174 72818\n2759 42967\n64222 96025\n53580 75553\n16616 21601\n59979 93707\n15399 64617\n19943 89090\n3488 85634\n54105 65359\n49483 65564\n46316 46870\n27902 91921\n27327 30254\n44476 98593\n73105 91141\n26207 42319\n87215 89094\n5546 54085\n78740 95362\n21246 27008\n5985 71953\n3150 79846\n75463 77038\n6095 90201\n31142 33451\n30704 82793\n52753 77209\n17128 58729\n28849 69794\n34895 51112\n20422 57641\n18885 59246\n25322 97803\n1559 82077\n13237 48973\n71629 86849\n46729 48808\n89259 95440\n81135 99938\n44766 80255\n25243 73426\n21989 58471\n27406 59596\n27654 78351\n11113 49081\n56155 86588\n32511 87042\n8506 15415\n5634 36921\n15553 94455\n17915 40600\n22031 48577\n43801 62262\n30092 93612\n42614 75253\n48811 82037\n38588 67534\n30551 62924\n36949 85368\n70942 98018\n92350 99293\n18242 52357\n52828 77269\n14390 57537\n9721 68171\n18534 21997\n1224 64294\n81391 92428\n50391 79818\n26877 93845\n2631 42658\n5299 16291\n4877 82399\n1859 47389\n26369 52341\n59764 72644\n13286 31128\n29561 91681\n42502 67065\n39420 82429\n5970 83931\n91072 93089\n43132 75912\n4175 71197\n17 33055\n4471 4788\n4394 48843\n61311 74048\n49931 88885\n17404 95101\n79854 84378\n3905 48826\n14450 85676\n82735 84203\n51100 56924\n31351 40946\n69605 87574\n6797 94636\n10129 62671\n22475 83219\n34663 58861\n42663 59562\n88899 90012\n27843 83392\n12483 84627\n66674 69083\n76431 98896\n7313 19901\n47859 67214\n33539 68339\n16331 58738\n37050 43648\n37450 83543\n57642 75980\n35252 82688\n14721 15666\n21350 83010\n27208 64838\n32482 49251\n441 14104\n46882 89138\n46395 48230\n3752 45076\n47052 81205\n5795 64935\n65342 98949\n9181 57222\n2404 65567\n8369 24042\n13788 71724\n59839 94740\n64193 87354\n28992 67531\n6300 36528\n8648 47979\n29956 89364\n40336 68641\n45328 72648\n12325 52373\n46790 97578\n31522 83061\n61331 72695\n46507 93499\n38170 99122\n19928 45178\n12379 99935\n7856 79420\n43552 56821\n31552 74437\n48070 56214\n41082 58563\n15651 74948\n36908 80871\n14199 73664\n3855 63557\n22954 58736\n65548 85149\n15020 42964\n3857 56803\n7831 36863\n31399 45638\n82973 91304\n7742 58440\n35731 58382\n29151 85216\n16937 84218\n10897 11655\n46570 87797\n1857 61289\n29053 43983\n14135 51219\n29046 91016\n50709 67386\n19569 49133\n1620 3497\n19113 30818\n17104 68558\n71798 93868\n37677 54522\n5507 42086\n43385 56843\n19259 28883\n40008 48665\n44343 89376\n3856 73152\n3385 91397\n10059 20201\n14078 99321\n48977 82708\n2923 39787\n65322 78881\n31183 40503\n47022 74191\n24117 28377\n71478 98144\n33101 33489\n2735 62564\n35957 77911\n28894 99602\n30750 65774\n34616 84305\n61552 87926\n27737 38794\n36172 99387\n6695 54426\n33236 52921\n67125 79715\n63905 65437\n3954 78770\n65058 79827\n3585 78548\n49739 61409\n36488 62135\n2630 2866\n170 76910\n74887 80369\n55968 94607\n52844 67754\n22957 59390\n65459 65796\n2943 92947\n20484 83419\n47988 79084\n53588 53709\n4494 21821\n38712 82143\n41915 84734\n64367 92092\n14150 30854\n902 32315\n58365 81935\n60180 93758\n47563 95443\n35799 36318\n11829 27932\n63812 75220\n58316 62664\n32882 63087\n15739 40443\n49858 67551\n40196 49132\n49232 78257\n30109 92480\n7849 21300\n21388 34233\n6665 55618\n3573 31368\n33243 44134\n47605 77276\n28006 88177\n13844 88727\n37980 76699\n23597 36755\n8549 45283\n23344 62647\n30058 66813\n90103 99205\n58377 75269\n3808 96597\n21534 59382\n7014 16248\n70134 97486\n74036 91090\n55469 57227\n47076 75239\n58072 83030\n20530 84166\n40758 95191\n28894 31610\n32157 92098\n28310 54133\n33110 42573\n11340 55670\n71676 87745\n15275 44437\n28330 98204\n15077 85875\n43903 51382\n2495 93865\n44878 84171\n15008 90931\n24933 38130\n16785 23267\n43579 69840\n6838 16361\n43898 64539\n4420 82152\n45651 64922\n28848 38186\n75200 81627\n62244 95553\n61149 66049\n36678 67502\n41707 60952\n12729 70787\n39818 84414\n87646 94161\n17488 47148\n71825 83331\n26054 66099\n2974 20838\n16758 17263\n67407 99658\n67008 82371\n74100 94125\n43924 53148\n7083 73824\n9026 80114\n55260 84096\n66150 78037\n50558 76298\n13707 23669\n61921 88171\n44202 84998\n78608 96775\n16654 80958\n92049 96600\n68746 74294\n22592 91819\n5228 60601\n20665 77229\n5377 42244\n26751 47625\n72293 89470\n21178 57848\n15877 18469\n6675 85982\n6205 54506\n15432 72363\n25542 28867\n51880 66292\n23751 28715\n23976 25120\n60117 81569\n58226 62193\n55143 64841\n68289 75262\n14055 65149\n63224 99434\n40837 92077\n6994 16199\n37673 47726\n2398 72535\n71081 74041\n38233 43191\n42122 73001\n2846 77288\n75863 77530\n37794 93216\n7533 56713\n34332 87022\n45361 78371\n67957 96980\n32228 77622\n12900 97456\n328 22404\n55805 58297\n7885 34498\n84894 95768\n23235 75589\n8160 51726\n46098 92003\n35668 86193\n34573 49230\n54825 95017\n20875 62807\n85940 97727\n19554 55458\n65586 81398\n6322 35171\n16920 62835\n20529 59593\n15587 97252\n22524 77704\n36502 40809\n7118 33333\n11477 74986\n18725 29549\n9378 84078\n18118 91496\n23014 23109\n64423 97448\n57582 91000\n19783 31880\n33751 63443\n48553 69204\n38873 72353\n5601 67650\n58140 66651\n76230 83649\n54168 98455\n20058 90726\n67369 92371\n2715 37477\n39111 44465\n56865 60755\n33859 80694\n45497 79485\n72344 88231\n28162 35371\n33406 97366\n36531 55530\n42675 79860\n14002 75733\n37610 55132\n347 67632\n26293 33123\n18621 80100\n31430 73348\n34703 99393\n2954 25926\n38634 77822\n7527 26116\n4061 38582\n65059 80212\n14810 52441\n31480 84700\n62591 89833\n525 61080\n40643 47925\n31353 81979\n50604 90306\n5182 43337\n27412 38552\n708 89214\n6000 65894\n18005 88771\n69049 71801\n13523 50168\n57191 76745\n2808 10877\n51898 60210\n18887 79464\n49920 66990\n33563 71150\n6851 45874\n60697 63133\n8197 40469\n30137 36616\n62148 89881\n10107 36835\n25473 26676\n45918 92022\n25214 93655\n43099 82396\n24613 80118\n64982 74154\n58514 85685\n6576 45707\n26748 63711\n42982 72544\n34170 87913\n44140 80955\n22345 46015\n22709 48676\n56641 62300\n31421 42421\n2392 86650\n12165 81443\n43980 49166\n62480 71776\n31984 39676\n44278 47571\n33118 45412\n4928 16973\n39187 64138\n31700 38202\n17644 62534\n21721 30286\n32712 72766\n38862 56012\n34284 90786\n26143 52725\n31184 75125\n64874 80884\n41998 77470\n84306 90474\n66852 95671\n77648 91534\n14553 64924\n22647 41838\n64633 87483\n16241 72718\n1844 75747\n48672 87533\n61143 67919\n1563 46041\n11294 98068\n13583 87121\n2153 93881\n42026 61962\n41269 69366\n48317 93138\n62207 82051\n17605 36440\n19046 60545\n22635 74386\n55740 63312\n52883 67075\n19225 82385\n39038 93954\n3782 9408\n67507 69216\n53189 87211\n20536 56279\n10246 94892\n55943 64436\n749 4949\n48949 95573\n10582 57930\n68929 97737\n11772 76492\n5060 21329\n50195 93625\n1065 15861\n10108 24596\n47167 91355\n18910 30897\n44610 81271\n4951 45454\n12034 56673\n5498 13926\n65651 99701\n15447 74757\n44390 97411\n5431 49553\n36548 75890\n57083 59512\n23852 68872\n50145 77788\n2618 57581\n11852 75371\n39938 82999\n21390 47687\n4611 10710\n42296 88694\n33579 49731\n36029 46922\n21096 49060\n98904 99027\n33447 86735\n5147 56165\n3760 65485\n27818 93548\n13306 37431\n51564 78221\n17688 85900\n68790 92867\n22094 37265\n6802 23434\n37680 46272\n12556 22933\n10987 32578\n27769 92609\n55988 66696\n12720 34678\n45668 92659\n20126 74597\n62384 66477\n31892 48206\n13699 51768\n13768 60097\n12727 18702\n28288 91187\n12888 27371\n60560 93936\n91621 93866\n19884 43992\n4742 52121\n24054 49649\n22138 85930\n17178 22496\n44398 72185\n23191 51215\n58882 86730\n12228 22008\n33884 62297\n17875 22334\n25990 72960\n17957 89710\n2503 13049\n21741 55723\n3708 37597\n52883 94535\n24576 28824\n6970 69762\n6464 90414\n18771 36978\n20821 56802\n73000 88505\n19825 89450\n33710 43903\n5662 87234\n29881 48612\n4074 90402\n53653 88368\n67584 75956\n39071 72589\n17276 63369\n11215 87723\n14514 62820\n41082 43521\n21198 95964\n12287 23441\n22215 24748\n6532 89512\n35302 86117\n32882 80720\n8939 74286\n45537 74630\n4663 10245\n57255 64019\n74747 91379\n50408 63757\n30863 83262\n31986 73150\n76386 99499\n12893 80432\n28766 53178\n82035 89491\n65867 74360\n17102 57942\n14322 86410\n15202 45624\n5070 50273\n15477 61492\n10986 27361\n23679 58474\n76490 87218\n44458 55686\n41346 70148\n9157 20166\n65268 71615\n52024 65974\n2132 50802\n10091 28195\n71406 79623\n43363 86911\n25448 53236\n39864 98328\n56356 56843\n7119 27341\n15733 73836\n91635 92344\n1790 30760\n5108 54855\n30399 95529\n42222 61588\n38847 71999\n5894 93866\n42628 95475\n34855 35194\n8604 61723\n80661 82614\n6988 61396\n64366 77772\n77280 99662\n53570 56225\n61394 75061\n277 9468\n11223 16018\n15997 20726\n20536 80383\n14124 33456\n8039 17584\n20293 89082\n27391 50653\n22121 24389\n87721 91628\n12088 31580\n28555 63817\n19539 21793\n61491 95128\n68756 93787\n21679 88875\n73101 73317\n13279 53999\n60095 62957\n11602 35678\n685 14593\n61944 66763\n24421 24797\n40036 51879\n72890 75603\n25875 82989\n70376 84410\n55736 88709\n28149 53997\n85544 90081\n9389 23147\n2391 43684\n19409 66718\n2772 64270\n75822 96714\n21230 63721\n46693 50941\n76671 76972\n8358 25509\n53987 79991\n28746 54015\n25742 43669\n74458 80200\n59203 65807\n27578 96690\n7314 40155\n62795 83223\n52750 85943\n9585 37053\n59995 87364\n49617 52698\n33182 80265\n19967 39146\n48039 79517\n6106 63251\n34717 36525\n75238 80012\n2089 69445\n26420 77806\n4553 59955\n26946 28859\n48313 53989\n37926 44450\n37734 49164\n51778 65779\n3247 86988\n22840 33835\n9348 55843\n22102 58395\n30012 72834\n26050 82442\n60071 67118\n6710 73366\n4738 90267\n17194 54282\n28128 93247\n56406 60807\n6641 42456\n15258 85677\n48300 63392\n15157 67239\n8532 15965\n39954 94337\n19124 80621\n27582 47720\n29837 38277\n16023 71083\n65969 87332\n5332 81702\n51608 88409\n12687 88348\n4345 52584\n2918 96670\n8702 25905\n56508 61770\n56820 60669\n65873 74304\n42643 91817\n1040 46044\n2320 68940\n6405 63289\n40079 60771\n145 42099\n20378 35528\n4247 19118\n15623 22540\n19913 20151\n72121 79933\n73848 94016\n14144 15767\n25279 50571\n11741 69659\n17753 81358\n22833 32563\n81340 90263\n74513 75162\n5042 76754\n49038 57250\n15201 80545\n41856 81609\n63230 68240\n80480 89044\n16401 37222\n64734 80300\n41304 75529\n87681 93070\n83551 84314\n15055 65298\n28007 35928\n5145 95889\n66164 92267\n12884 89666\n38371 54041\n34699 47954\n96295 99342\n87500 87585\n11591 51418\n38749 56022\n79298 81289\n11003 70518\n24844 44205\n43303 80117\n1308 13121\n20563 37844\n58114 78866\n2846 30840\n2680 76829\n5023 82008\n16108 32470\n5776 64344\n5585 97171\n7648 16434\n12483 48245\n23446 65929\n27687 85711\n7149 40005\n94989 99999\n9458 60973\n15071 52041\n27905 47908\n2594 53139\n21547 50878\n46079 77173\n15369 97144\n66925 94898\n50672 58166\n10170 13552\n47132 58937\n57021 68757\n26646 82432\n29849 54623\n35380 78548\n4358 19910\n25840 94103\n14704 45386\n14965 82310\n8519 37080\n32983 67012\n9430 43422\n55119 98307\n7956 31201\n23671 38277\n12459 39977\n442 94103\n35559 59317\n51104 65633\n12841 85136\n23943 27145\n4550 94821\n35260 70837\n10457 28991\n13416 57372\n13819 80892\n66722 80549\n59016 76273\n982 38853\n30037 74925\n88179 99892\n77273 81788\n47075 54001\n9420 64154\n7685 31603\n42540 59299\n40355 59878\n9338 92876\n40676 98797\n651 81589\n39569 50047\n35139 80744\n84206 88270\n78792 82919\n20191 75887\n50360 97051\n2774 33983\n2296 60859\n15642 46599\n3144 49876\n10280 95521\n5990 65652\n59531 84535\n51109 60837\n6108 44383\n62862 97853\n74805 81109\n76756 79526\n37979 91439\n23526 25327\n50055 57399\n10639 53707\n32301 66128\n39674 50748\n7783 89864\n446 1160\n16147 84228\n4262 51621\n53536 67861\n12864 30022\n13818 92418\n9328 25838\n4835 54454\n66256 79601\n58466 96864\n19360 62478\n20633 39492\n39437 45065\n37747 38744\n34722 86351\n49449 90884\n10648 37322\n34988 66684\n88287 97460\n75752 99202\n51503 91310\n21379 29626\n17555 84234\n53076 70770\n40203 97255\n42988 74238\n4352 65496\n68347 96438\n299 49140\n12711 99033\n15040 71110\n56758 91679\n72223 73906\n74745 79399\n43467 79172\n71893 96676\n83849 89101\n23069 35490\n2479 6492\n31738 74474\n36300 55820\n59740 88742\n22468 40769\n61280 66071\n1361 14470\n51100 77399\n48135 89781\n452 7085\n35754 45925\n2566 61713\n7387 56145\n9660 51866\n63687 71662\n39065 95963\n17340 27107\n31089 38010\n2561 60079\n24309 38158\n19176 49772\n21527 50065\n34834 78963\n13507 65623\n28046 95655\n4245 75438\n14541 15601\n30626 92860\n54339 80134\n4404 37273\n22474 42699\n12148 92187\n65688 65740\n14428 92894\n8432 66209\n5809 95750\n3598 56317\n177 35966\n26063 54105\n16270 25783\n72177 90005\n29853 30263\n30550 73968\n8133 24533\n56437 89346\n27564 49379\n15023 53611\n27313 55857\n18231 38193\n40802 86284\n84241 88019\n9866 31766\n2095 89507\n6809 13069\n14764 20137\n33085 57548\n65464 74584\n24647 70508\n14280 22663\n11311 66170\n11515 61124\n41691 81638\n68797 79906\n52103 86481\n33003 60996\n2337 26762\n23787 66872\n48403 62908\n37292 67027\n84793 93193\n35079 37439\n19298 69903\n51654 85037\n2188 19972\n25548 30669\n752 33925\n54345 68370\n16668 57640\n2329 94384\n40007 81279\n15844 78856\n50649 75215\n24822 49091\n22220 47470\n8359 25336\n81394 81911\n27465 84615\n19811 94562\n8831 91435\n31129 40933\n34122 80905\n12529 19584\n17954 24778\n19850 47966\n13669 93906\n30632 91562\n5096 18115\n37959 64115\n75415 91951\n39390 98962\n3557 85052\n45437 89276\n81946 95732\n6277 74201\n6307 93392\n73931 97497\n6556 15982\n69109 74575\n35666 62691\n37695 85722\n4377 36394\n27169 83079\n11339 35996\n52009 93222\n89124 99685\n67213 93660\n30372 54262\n6432 17399\n55195 72694\n49171 71070\n9179 71135\n15021 59506\n9171 88452\n59386 66763\n90369 98309\n10702 47462\n48404 65883\n53600 65140\n27738 41892\n41534 72789\n61834 75498\n15940 88744\n63352 91698\n970 2390\n26080 69317\n12466 70432\n77151 91787\n1034 85068\n66846 90297\n37901 79560\n29709 56874\n20297 42628\n33456 78463\n68270 90345\n42755 73585\n16588 61099\n19408 59015\n2715 35629\n22927 76854\n5555 22040\n76423 84214\n34336 76798\n48074 82268\n51433 74584\n5907 10804\n58208 68369\n26346 94947\n63614 83505\n48148 48454\n8602 48616\n38905 95338\n294 70767\n24878 48432\n5246 77580\n19535 54784\n41595 46576\n30080 51319\n43902 77569\n44055 92264\n85763 94788\n55895 64018\n27013 67015\n56570 84187\n22398 82005\n8669 51787\n57462 87671\n42842 57017\n8548 28629\n14660 55814\n43806 78085\n23115 49311\n63264 70676\n58693 82158\n9189 78251\n20746 27157\n34000 56134\n5964 26520\n63958 84406\n7172 72707\n61694 88195\n92719 97133\n40252 63471\n69345 93191\n1997 82090\n57630 97165\n8259 90459\n18976 57460\n50970 98646\n73163 78044\n26476 34349\n32478 74366\n27250 95252\n68617 79401\n43984 63292\n3167 23418\n39248 43904\n31342 57942\n47559 98642\n47514 80232\n39399 61274\n18158 97689\n17709 79538\n3768 52612\n18286 33498\n76750 98008\n94386 99628\n11656 99742\n11250 86122\n32762 33514\n41850 82149\n62678 75683\n93913 94622\n3855 59303\n5628 38673\n18770 44482\n22970 76620\n68938 82480\n76931 97804\n30041 48560\n1077 84769\n49993 68193\n20602 73820\n29133 49372\n10043 26534\n80328 81685\n74141 77303\n3813 77810\n9653 68561\n6810 87017\n73731 79224\n5431 27295\n26269 71124\n62000 93064\n72162 92221\n15504 84576\n59001 85124\n18826 89897\n5502 47289\n56810 72678\n34242 99165\n16974 24707\n28170 56649\n37022 56180\n38601 53011\n41815 85601\n47675 71066\n36379 69018\n47612 81376\n18634 26097\n56351 97168\n53015 64409\n38332 85228\n13568 19840\n7856 23558\n13881 31895\n2661 50354\n35545 98069\n41041 83696\n51903 82709\n46630 90140\n30947 51800\n50819 66756\n63093 85428\n29787 74796\n62833 64947\n23057 44103\n36429 95090\n13019 68642\n26120 80734\n2435 80034\n19812 82835\n60606 83488\n43788 51730\n52061 95727\n9839 39467\n21367 37157\n30579 59268\n31114 85804\n14156 22412\n29060 76810\n27144 46762\n19331 29407\n17839 86805\n12761 88277\n50495 86480\n23328 72710\n38123 48229\n64445 95555\n1310 83790\n59267 60315\n42293 79289\n75759 80797\n15296 95108\n30463 91157\n25165 56726\n48500 77118\n30483 47551\n59606 60597\n22125 23798\n19271 44093\n42291 45198\n6318 7897\n16840 81277\n15794 16238\n15140 87147\n13721 22535\n36844 71739\n16667 53539\n10612 58917\n70030 74532\n8367 40472\n58416 61274\n5357 49045\n23999 70340\n10236 32696\n18882 51292\n30150 95635\n77821 83451\n369 83758\n48083 83798\n54121 97619\n55317 65075\n48922 56246\n42338 65709\n12637 35678\n53448 56769\n70201 90766\n28513 91148\n19145 24784\n64246 69963\n16412 79552\n78414 87342\n61117 68193\n62106 68999\n37482 47545\n20506 98264\n66730 93869\n66324 85898\n53523 60854\n20278 99213\n7569 24940\n35245 40485\n49443 52075\n35827 63203\n74173 96090\n11622 53825\n49284 49827\n63682 84056\n21622 89655\n66993 75297\n52545 88738\n52515 88564\n19852 73824\n75541 97310\n27824 96409\n25837 52604\n44003 91205\n12252 99326\n59160 93096\n45519 96455\n62831 78502\n31401 82468\n86601 94971\n63523 77660\n55160 84853\n10333 23177\n71180 91986\n54307 92488\n89224 89826\n11721 62700\n3277 15920\n25477 80313\n40159 99667\n12396 28204\n16460 22989\n55925 85226\n24048 72742\n2002 33002\n87401 95528\n3336 17936\n35436 60785\n27957 56572\n36180 46699\n17474 93381\n3753 87407\n1318 3951\n7772 82787\n23195 91993\n18138 89949\n37104 51621\n23285 51256\n9999 83963\n15579 81024\n18165 41198\n15331 65732\n40831 60152\n78836 88438\n15130 80611\n38387 70507\n12337 43332\n69336 89539\n8762 16011\n68918 73035\n2566 89642\n3235 42402\n44137 66068\n949 7798\n6134 92872\n40914 67729\n22687 78816\n29980 50607\n24201 74288\n67414 90205\n13617 61302\n5405 98616\n6230 49940\n37841 59816\n25127 70715\n24213 63904\n62897 63753\n35928 67072\n4754 49268\n42692 45256\n7423 42768\n11658 40145\n13646 21779\n503 53394\n58804 77713\n12863 39215\n1192 29603\n595 24577\n23427 63543\n22699 61024\n4932 49380\n7241 86075\n1549 73738\n1102 29188\n27067 41151\n13649 33925\n3694 13899\n18555 81905\n19903 77477\n84100 88070\n13281 43990\n43429 81972\n7571 34534\n30668 96337\n41858 64440\n3787 52035\n39073 66064\n17996 93215\n12469 73102\n20228 84641\n60988 61194\n25653 28880\n22262 27492\n21467 63188\n55540 70772\n41140 89811\n19310 21078\n5453 91427\n52425 84990\n9935 73096\n79265 80405\n14902 73736\n31530 67116\n889 61271\n10768 13279\n16606 43787\n54619 57687\n22120 52958\n35128 60030\n16224 37435\n35052 82135\n9572 51508\n13138 33709\n71200 91185\n36368 95846\n65446 78748\n27403 37395\n44257 46563\n8485 12518\n79926 83975\n43610 53356\n42217 72253\n26545 84433\n15587 49949\n27119 92597\n71345 76820\n43998 95948\n13963 65440\n45240 80231\n74424 84803\n18831 47651\n28762 35115\n15864 19520\n23945 95633\n12957 77040\n53676 87215\n13306 98341\n56986 66342\n26495 42228\n5679 56117\n79524 94291\n8265 92497\n88305 91856\n30774 53182\n34855 57347\n52484 93852\n60336 68785\n53075 85569\n50116 50307\n25824 78458\n24318 30423\n64495 81964\n25113 99696\n40613 42335\n22670 86476\n46666 81718\n40239 74892\n19892 75832\n18085 98275\n38501 70716\n3836 12755\n68754 86824\n49239 79305\n3837 59579\n37469 87358\n4115 4916\n34387 79444\n20090 80962\n19040 93899\n19038 92145\n5067 48300\n82103 84196\n6062 91685\n1700 35437\n32766 64945\n82227 87114\n9819 20918\n81615 84023\n16045 84828\n16079 20281\n47241 61959\n4102 11868\n29418 61891\n37799 44847\n50854 60949\n11117 89536\n66343 92273\n17 57216\n14770 55308\n10900 71609\n36518 74863\n49924 52948\n93819 98033\n10959 23862\n3243 70924\n59344 84450\n18073 35000\n14582 55593\n74691 98028\n21592 73510\n47103 92061\n18876 58285\n5844 10874\n9936 58206\n12087 42090\n28291 74473\n12805 14609\n9865 41836\n54734 55937\n38014 95902\n43413 76628\n23568 49187\n52900 89896\n28187 31113\n27132 37275\n36804 93219\n50467 85293\n19669 39291\n8029 47636\n63124 96968\n43843 64641\n39296 85792\n18990 94020\n26687 27335\n57563 85560\n5675 92527\n38885 81685\n19867 67125\n77835 88890\n23402 92425\n57932 59644\n25749 98519\n7295 21738\n7128 15029\n9845 43343\n37025 84812\n24491 92455\n68028 69333\n18933 39389\n14671 43277\n7798 82244\n58646 76377\n7134 17725\n41497 64929\n45240 86907\n4605 10826\n22858 91599\n5738 38870\n21200 92043\n8601 69587\n41147 48026\n17914 59381\n33798 86393\n6570 57592\n77865 90115\n90352 92511\n78448 86108\n3952 36492\n39021 67364\n16944 21960\n69364 92190\n50528 83787\n17707 54039\n73650 83174\n24521 48153\n891 60413\n3332 74667\n7535 83102\n34782 65533\n5558 77041\n78860 88015\n35796 41328\n22682 76536\n18403 88530\n36617 53906\n24764 39045\n65354 93371\n63152 71984\n47141 66049\n50946 51845\n17770 68747\n43769 78379\n36298 80363\n49593 87159\n37966 85216\n51141 74789\n59904 76778\n31211 98528\n5772 25143\n38789 71095\n6873 64972\n80174 82403\n42821 44250\n25770 66080\n37267 64738\n22885 36975\n51932 85591\n20988 34972\n33529 41683\n632 64954\n55614 77941\n13575 70280\n31196 41859\n10792 79967\n16890 83259\n36890 46532\n20069 96551\n51424 85637\n73143 97990\n18336 91901\n59189 92967\n9778 73793\n57557 78079\n12243 31999\n67098 92953\n47833 68475\n8524 33792\n84530 86757\n17922 67159\n36995 52775\n20927 33485\n10145 81555\n15897 51865\n46362 92673\n59302 77064\n43248 78930\n3655 68533\n89153 90450\n4740 15976\n15411 63338\n1785 53958\n40098 52877\n29538 87671\n35617 63461\n39095 61386\n44457 56020\n8557 17064\n33404 95216\n24509 50938\n4681 15908\n48052 87105\n38804 66255\n20078 76968\n4591 68311\n77965 80459\n1084 59511\n57363 92687\n40069 63652\n55087 66159\n60986 70717\n44258 90485\n60399 83343\n7446 29577\n17996 68725\n20336 27735\n27883 53757\n30830 89304\n45419 71779\n54917 60015\n65427 71509\n79266 99958\n13704 87604\n22245 99678\n11270 29669\n41125 59967\n1759 51679\n68260 84075\n43424 64384\n7532 92983\n23384 95393\n15578 45134\n62124 84777\n9119 80509\n16810 71581\n34683 94939\n20851 98216\n49838 53870\n64732 66380\n52848 91922\n12474 90537\n23310 24237\n20222 41340\n51407 90012\n54540 70452\n68963 96830\n7664 48162\n27721 87642\n40386 99968\n26124 62698\n45771 78029\n44939 69892\n44784 73185\n47351 53872\n7119 63396\n62491 64797\n15531 76863\n27022 61777\n29672 47666\n81348 88410\n64043 98750\n28355 35639\n12308 45189\n74999 92280\n14981 50933\n61767 75636\n47494 99368\n35187 84278\n17011 49253\n150 10086\n1088 10718\n15577 21128\n44056 66860\n37928 40530\n43916 67186\n31776 51588\n19120 26033\n16835 96826\n16297 83377\n40508 82671\n4557 97339\n54116 91906\n2104 16937\n1681 24731\n21677 92722\n11195 55779\n13659 72704\n59636 84611\n14626 53758\n30146 71564\n38557 88389\n2278 43128\n10212 38687\n38580 63212\n11366 20663\n765 8171\n33332 91643\n63676 78587\n25443 95268\n46663 56478\n11626 44546\n31246 89365\n50835 95156\n55778 82466\n40513 58655\n8987 47161\n64927 77396\n2432 21135\n32808 33673\n32196 97851\n22836 67109\n59060 75851\n55630 96900\n28505 46406\n52020 89130\n54681 65049\n10495 30452\n41402 97657\n49309 71683\n24446 82510\n54035 76077\n36714 79465\n45827 56000\n63349 76583\n82169 89809\n65401 89986\n43198 46247\n11434 11830\n29846 58823\n53801 89015\n38061 91082\n27751 82225\n12900 95781\n3379 19385\n42315 97901\n52307 62912\n22171 83544\n35584 61513\n8305 72489\n12344 12804\n27958 41669\n30739 42481\n78384 86360\n4927 73570\n52862 96762\n48136 81337\n9428 71757\n57615 82716\n43762 64248\n8186 31097\n89942 93683\n36999 91800\n24474 96329\n2349 92160\n57749 97469\n5805 49336\n13732 24448\n13876 14655\n79102 98395\n39664 78279\n13175 73637\n53500 61450\n41800 87608\n80021 83783\n35687 52105\n41567 57981\n46221 66887\n42264 93889\n4686 66232\n13520 58405\n22667 96173\n40258 61665\n47046 98311\n11052 18889\n14627 79738\n38181 55235\n14520 51865\n57610 92148\n32139 47098\n5974 55842\n50038 98578\n58667 92979\n47109 73148\n10324 80455\n19703 86022\n35636 45087\n43609 47558\n3878 18719\n16526 86891\n10439 33251\n45213 50204\n73753 93242\n36154 39973\n16208 35524\n37358 86700\n77316 87850\n7421 90266\n10952 56687\n44139 68319\n8388 44559\n10773 75769\n10571 18703\n10549 52681\n64479 86578\n46627 51110\n11992 50208\n2741 94074\n35059 44250\n84363 88039\n78492 81541\n7604 11612\n59766 92775\n2321 27178\n55024 97914\n18998 97464\n54632 87689\n702 93477\n64028 71842\n8459 57594\n3263 41352\n17248 54191\n36556 94669\n76154 78761\n9331 39451\n2791 55807\n44915 52390\n20744 62825\n63666 91444\n36718 44067\n49542 77338\n27250 35316\n27898 59753\n25158 77797\n38141 66800\n6387 12380\n51840 94604\n7699 11879\n30521 96079\n63315 78523\n74892 79550\n68781 80080\n68625 92791\n69096 82993\n48859 71817\n18390 70493\n5665 89465\n34034 37585\n4776 55595\n8527 27205\n31641 88898\n5434 57922\n30480 43452\n27044 93432\n11188 94788\n17595 95415\n30426 54758\n17752 39521\n37445 45265\n45721 57658\n17332 26504\n8454 93168\n5549 69414\n69464 92482\n40337 47106\n28654 52426\n71664 83331\n25934 60040\n20710 63451\n26396 61802\n36290 37974\n63463 65913\n75322 79254\n10726 57112\n33918 69647\n11909 19136\n11236 87433\n23101 78262\n75055 97139\n8114 64939\n76154 83085\n22399 22854\n25241 98945\n30141 52290\n67002 77149\n17621 60292\n32980 91632\n45482 61706\n39851 50683\n2985 52530\n4059 46427\n12450 42718\n69735 72778\n10456 66522\n18520 90178\n6807 88348\n42791 59934\n545 88273\n40191 42880\n23883 94520\n33437 94356\n2084 67416\n68862 85939\n66776 72618\n42176 83850\n13348 23016\n1830 79479\n17462 41076\n14219 98327\n17879 77039\n71538 84424\n57403 77944\n59396 88864\n25497 47471\n9767 93144\n10509 90738\n71401 83894\n8835 90134\n20448 37075\n39653 62458\n28341 59857\n77693 99017\n1880 43037\n54344 59092\n30361 52539\n22754 48491\n8868 53533\n4313 86901\n18255 59133\n71411 88186\n49240 74646\n55199 94772\n81100 98391\n56141 70141\n25235 66481\n5025 80573\n3333 68765\n62476 85954\n14266 90347\n37065 81660\n72939 95449\n7007 54790\n23197 49558\n53069 53799\n75160 96613\n34217 71046\n9216 61298\n19651 95403\n16071 54830\n6625 86851\n54930 65672\n90011 98729\n44799 92697\n7896 37306\n49870 95610\n16180 83482\n1536 28597\n44075 92112\n45509 78374\n38433 47434\n51015 97766\n1125 10289\n23031 73789\n35339 82998\n51865 56274\n3796 39722\n61430 78272\n6917 86310\n15625 35232\n45179 46783\n3447 20652\n52454 93646\n32607 83867\n33175 60817\n4832 48978\n299 82526\n37963 82201\n415 56733\n4793 68870\n46699 82648\n23560 53790\n50456 92575\n20400 96200\n7161 46888\n20345 25279\n17182 29072\n54868 86653\n18064 68347\n5332 93253\n18924 61964\n21658 37893\n57280 68832\n27624 66386\n4832 78142\n8795 61274\n16866 87737\n54245 73399\n36937 49577\n1069 49934\n14045 29148\n42809 53552\n34299 74675\n3990 62133\n27177 91058\n44861 68550\n75788 98168\n6431 89222\n71117 93881\n16500 95313\n2392 99466\n11230 38863\n86453 86725\n24566 52152\n44523 72549\n15931 22870\n24774 83396\n17446 39395\n57620 64962\n86227 95717\n10069 70270\n2715 78209\n24897 46218\n14264 57673\n73976 99690\n46804 58293\n83664 98584\n7778 22230\n20969 43136\n1735 89925\n27280 79179\n11617 43782\n48858 88114\n32303 61036\n23258 94826\n45858 67694\n57375 68438\n30082 75013\n42621 89168\n28498 77076\n85024 98315\n30450 58552\n74681 86727\n5240 19377\n10297 92440\n2136 95640\n11987 14556\n34430 52349\n55975 63497\n67396 84846\n4127 79845\n62451 80896\n3617 19344\n1000 78413\n34764 99591\n73665 95599\n13171 94559\n8269 33946\n46263 88212\n31803 50536\n34911 57204\n46137 84537\n89962 95032\n28387 50693\n9405 63369\n11830 64567\n59087 98887\n2028 50855\n6675 85814\n22611 44287\n75773 82962\n46851 69681\n87460 97052\n59692 83300\n5944 56216\n1471 26066\n10760 15878\n12735 71786\n67940 96005\n9304 18430\n68067 94746\n40768 48781\n45382 89739\n16278 59769\n76438 82584\n18778 29854\n58144 75595\n53092 82457\n4740 97583\n7309 57452\n64171 93672\n63812 98970\n7765 92073\n66706 85343\n53328 62032\n16462 66096\n57277 97652\n791 52549\n31480 95679\n1772 92585\n6470 50255\n34846 66906\n67160 84920\n93927 97328\n448 19213\n6810 91704\n54699 55467\n7045 19325\n61715 96340\n52538 96508\n53200 55800\n19188 55885\n36187 52094\n47462 70066\n47218 91112\n41413 68725\n35072 93520\n39328 50472\n16626 25970\n31591 91542\n7865 69014\n33246 47939\n27340 44748\n26610 60431\n53624 98541\n25120 91652\n32965 77791\n9861 54736\n71659 72754\n23183 81446\n70775 81282\n5550 74771\n4162 6825\n56268 58781\n35729 56372\n76390 89178\n4944 29892\n41133 44233\n57226 66126\n49422 71504\n7865 93323\n2538 75034\n13903 52362\n38989 63298\n50274 58106\n40937 94901\n13709 96879\n35881 82333\n60409 67935\n42581 79632\n28858 59331\n9161 38200\n40798 65569\n19002 80168\n53920 69182\n14617 39390\n3339 68809\n26768 37165\n39075 75823\n28331 93348\n61879 65967\n41343 86268\n7466 87213\n39828 80094\n49850 75857\n42082 94572\n6567 60916\n6320 56723\n6321 57368\n21598 86715\n46161 93263\n27288 74430\n68638 73970\n64749 91775\n18636 23035\n39249 60141\n45376 80106\n20164 59001\n68012 79463\n76712 77443\n25815 46482\n12991 75217\n77774 88133\n32207 64094\n5654 52185\n11334 34947\n78773 79425\n14398 20997\n25290 40509\n1812 99172\n57047 81179\n1351 3099\n29224 44949\n61508 94545\n13732 73546\n85291 92294\n23279 83848\n70786 76774\n50389 76478\n13509 61383\n37449 51052\n13207 19500\n23585 53611\n43059 99202\n53968 58793\n27703 92295\n86830 90304\n28081 85569\n46826 48560\n35840 91442\n68099 86613\n94907 99518\n36605 41927\n69733 81307\n36370 63445\n9586 87302\n19560 66164\n20016 81795\n86996 97646\n899 33459\n6692 92404\n22230 28626\n2819 68753\n70028 82989\n42211 61124\n50834 86518\n77115 77392\n38284 55223\n23298 31523\n28308 53197\n55504 83465\n49383 79714\n21569 63118\n2184 50094\n28892 44061\n46728 92840\n1136 46002\n61577 72469\n8463 93437\n31150 81225\n57059 79864\n42511 60340\n11022 24307\n4449 54870\n5385 38195\n3869 14334\n35140 50505\n59081 95973\n68802 75513\n1050 89839\n19429 44681\n11559 87128\n74712 83157\n23424 39683\n1188 82170\n61411 99014\n4609 13971\n11024 75953\n36981 70972\n2572 59185\n23176 37828\n30677 81867\n60010 65742\n61185 63513\n13611 64043\n28402 40428\n10025 80846\n44538 88304\n34408 90263\n9328 45117\n55753 89875\n17717 29282\n83359 97530\n8030 46446\n9818 32085\n52288 82173\n63049 78674\n38818 75344\n67555 83273\n7621 68611\n45642 92103\n43905 73862\n30587 97649\n38883 94851\n2811 28997\n6297 50088\n28300 48813\n3818 27882\n54420 83851\n2499 28503\n45655 48771\n11706 14662\n53886 63440\n12819 74755\n6161 61239\n52126 53485\n9538 25484\n5997 21918\n37086 71041\n36607 86577\n27976 97302\n37195 64031\n44820 70874\n21373 25665\n49955 68529\n8113 33932\n38480 78612\n9220 79041\n27869 55498\n49076 68437\n83350 85069\n51178 93322\n10921 49327\n19970 82217\n12003 44625\n43567 73288\n23557 25355\n8455 28733\n16843 29383\n63219 72510\n4034 35350\n11644 27380\n11073 42683\n39242 98950\n1486 82408\n8431 12886\n31764 75848\n10171 60311\n74253 88297\n66953 70320\n38855 68117\n33460 69949\n16744 80612\n2916 27919\n29041 30816\n40667 60067\n24746 40723\n55513 63042\n38680 40957\n12228 94388\n4665 57506\n40779 73445\n50424 89831\n26517 28131\n13710 68540\n30890 71486\n26665 88380\n15453 69906\n22881 65195\n14872 84687\n48111 52151\n60406 67470\n57258 82574\n13734 61754\n3874 12020\n57135 87244\n22660 97388\n5088 81555\n93451 97899\n219 32940\n90627 98877\n31956 91559\n36279 52490\n81595 96189\n10985 97726\n44470 63336\n65681 96716\n14307 39516\n50809 66287\n23013 54078\n35836 99375\n49654 90663\n5039 56862\n50027 95434\n89 27298\n14238 97404\n18052 90868\n13307 88254\n78406 92069\n11197 72571\n37009 68972\n13848 20219\n22709 25845\n37599 43990\n60495 77238\n4878 89636\n85369 96091\n2789 88789\n13483 77746\n65925 82175\n53531 95588\n37995 88377\n39584 55448\n5014 54207\n9875 89958\n38211 88678\n6013 50168\n85846 86426\n34732 78185\n20837 65383\n13369 82339\n19512 57936\n6214 7217\n83102 97448\n56472 87589\n33346 80609\n54851 77860\n41715 54516\n347 50152\n3447 55094\n57927 85628\n44954 71577\n47160 76997\n26344 60593\n9174 54460\n7473 98530\n35637 87380\n25275 50866\n56341 94302\n62107 82484\n7145 42850\n17855 69720\n20633 81331\n23168 68841\n25596 77756\n56931 58080\n2410 30427\n20918 66193\n46275 77300\n22432 83002\n17352 55280\n48886 91334\n9422 16682\n67103 96399\n38112 39504\n13452 75181\n644 61705\n37119 63230\n30123 82201\n32967 96058\n67088 80445\n62265 90671\n931 20100\n3671 62264\n19536 29443\n43866 99909\n19786 75834\n81328 97796\n32251 35235\n16479 87407\n74695 75369\n55166 95928\n27163 35121\n56717 64737\n15228 17184\n85572 93996\n13343 50627\n73207 93018\n26141 90092\n26265 36549\n7578 10999\n4821 67860\n47822 72087\n24624 52601\n30572 99181\n31568 57730\n17150 73628\n3155 59514\n30200 31837\n48391 96717\n40515 67135\n54764 76851\n1413 21200\n1193 65535\n26772 61128\n7541 99314\n593 22289\n32540 55330\n62779 72440\n8754 56690\n51490 98829\n37917 65080\n34236 79552\n31908 70825\n10478 92218\n90945 92143\n9831 96116\n25053 67160\n69348 90781\n5949 61796\n67114 95255\n70496 89667\n57165 68800\n6576 94140\n817 74471\n68132 96485\n1982 30458\n7347 23593\n67548 75933\n29751 50994\n30921 56169\n34846 36558\n19337 25380\n37429 45099\n7596 68280\n48164 91356\n75993 85396\n54848 71493\n40486 54280\n51530 52543\n13875 80308\n65867 82671\n57464 78761\n82425 89051\n80108 92616\n65491 70779\n61513 68497\n83572 91424\n50799 51289\n40896 62528\n4433 80997\n33624 79480\n12201 26374\n12133 61246\n68395 94682\n98824 99913\n69873 83586\n79578 79790\n22967 50252\n17581 76940\n52764 88763\n59036 93801\n53159 99629\n66397 74467\n11225 31871\n77333 77764\n57387 58216\n24674 63224\n72268 80598\n8226 32689\n35483 56978\n19177 63821\n58019 84124\n12311 64408\n42369 70366\n25338 71989\n38083 98802\n24814 35219\n1747 52406\n973 80189\n80757 97891\n17133 98953\n10695 34294\n45642 88348\n30312 37579\n65926 98314\n73777 75444\n21095 61553\n50917 69436\n67811 78056\n29752 36560\n72690 79918\n29215 84491\n15329 79239\n3837 21676\n23029 41967\n14927 16970\n23540 99890\n19109 60018\n29427 59728\n3376 39302\n66275 83665\n42391 74986\n23490 44458\n18030 41634\n55066 72431\n10776 66463\n39165 90896\n27821 61989\n12737 72877\n52472 95712\n72750 77268\n26554 70069\n14165 22655\n86619 98738\n18669 24588\n21027 83917\n63142 96850\n8087 14120\n11524 47924\n3448 43010\n35242 90021\n17777 49225\n25145 99851\n22838 97938\n23574 66355\n37355 91143\n1594 42221\n49573 58456\n4422 95978\n1844 65706\n6046 43027\n22836 65264\n38565 85762\n22396 85882\n78018 92862\n39823 78018\n44534 66354\n27345 50862\n86529 89421\n17262 99920\n84387 94007\n34606 59390\n23830 69238\n5165 67655\n506 87606\n30416 37971\n47870 83134\n16367 39915\n34013 81403\n42626 63885\n21905 93852\n47161 94189\n28812 41562\n33168 96032\n79786 87079\n59823 80404\n10723 30653\n75538 99380\n31763 75320\n2098 41537\n68822 95114\n35625 77387\n45140 53806\n74876 98626\n5897 28855\n83102 87543\n17258 90438\n19706 54195\n70629 81411\n11198 74805\n38265 57654\n7369 25080\n61369 64600\n60335 98011\n34764 62791\n56418 81958\n22821 92782\n25923 48831\n19637 40807\n28836 78056\n17978 20348\n7875 65514\n8185 85039\n37490 45931\n44715 65085\n32319 87787\n69100 83369\n51990 77131\n14936 65287\n20519 86015\n4302 74001\n39985 65326\n4144 11258\n41019 41871\n20954 34367\n1477 84457\n2487 35571\n4410 19118\n65059 80609\n73977 84236\n57554 81398\n28741 97997\n32985 90168\n55 84704\n23612 58373\n24083 27096\n57531 83758\n944 50938\n40666 69825\n18152 26186\n11468 29124\n28791 90701\n68231 84345\n937 94848\n52401 63894\n68594 74989\n1795 82643\n73471 86117\n61845 96803\n64712 67586\n10219 97118\n9636 70689\n53930 56003\n17388 58604\n69195 71467\n2629 21141\n21764 37861\n17921 54997\n58185 60428\n57099 68466\n79391 86931\n30118 55132\n6056 69678\n81668 89458\n47203 89442\n46762 52353\n34776 74471\n951 26094\n21834 54095\n41792 97685\n4134 14013\n56403 69478\n45269 54567\n42237 54133\n768 93910\n60761 85113\n17537 42442\n73670 95713\n14861 51315\n9960 39636\n6185 97158\n14416 94385\n70227 97128\n58536 87487\n963 50145\n21613 69740\n1960 32615\n3412 84086\n3972 79452\n65232 94555\n20197 95770\n25629 26819\n25042 79527\n42603 70932\n23731 67804\n23150 33862\n32675 50164\n22776 78840\n5448 78457\n46768 69205\n8857 30310\n6027 65820\n89165 91748\n18244 50469\n27947 52191\n56499 81624\n50754 82461\n19923 25366\n74040 98643\n52146 73059\n36082 91055\n26971 96767\n64185 69813\n39630 81444\n355 22488\n29426 72406\n31983 32759\n8288 59396\n37350 68643\n71896 96936\n31878 49740\n6681 78941\n251 7886\n61122 84065\n30513 58576\n14064 25001\n24948 58964\n48483 76415\n15951 21886\n53549 96219\n86988 94446\n37157 44722\n76040 91845\n11392 65077\n15676 61476\n34700 83455\n54311 56315\n10656 68166\n68918 85714\n52665 76314\n26282 40769\n31817 48604\n31940 38327\n9789 51332\n11755 80564\n13478 40672\n57602 59378\n13463 62533\n21542 62846\n19903 34710\n8818 26689\n70054 71633\n14259 14625\n25693 69313\n47886 76405\n35050 52436\n42758 74222\n20284 43527\n23030 83243\n16481 81249\n1526 27637\n12326 38325\n36388 57654\n13120 49680\n61246 80389\n25940 84012\n25378 77478\n49870 62840\n7112 90513\n75429 83682\n4037 8596\n35837 98904\n63698 67372\n55110 59236\n80748 84604\n61773 92926\n50543 92385\n65753 81361\n34560 81238\n2874 63931\n56128 65106\n31630 57722\n36817 92768\n46313 90788\n52290 89271\n4685 61458\n16962 95395\n8927 70834\n45870 58126\n41937 73937\n26761 92214\n57197 70967\n43048 44834\n4754 44384\n13699 83745\n7834 71248\n32602 39393\n11101 61603\n15265 46119\n27436 86093\n28662 39228\n43851 66721\n28535 61996\n29252 52625\n16016 73108\n452 32791\n71432 84659\n32584 77143\n67794 92385\n25610 68443\n5454 23420\n7503 47332\n13100 69436\n72634 82455\n69437 85216\n59693 62074\n44446 66129\n3911 55324\n5859 52138\n5655 67550\n24714 86783\n38319 54788\n6314 48521\n61154 88168\n25472 66531\n27575 66339\n2471 26452\n13680 16177\n4060 79825\n62890 95110\n51528 91072\n68681 68859\n23417 83322\n76020 85523\n47939 84434\n71567 85638\n41775 64677\n35574 59708\n17254 20085\n2040 24301\n51890 94766\n62015 77236\n9775 14590\n86321 94996\n54535 75910\n5331 24978\n73751 87202\n1686 37568\n16552 40810\n38614 45367\n42571 75362\n47303 65247\n7588 24221\n11221 56939\n30282 87631\n18018 46489\n10303 37706\n25591 68181\n23128 54377\n51774 81246\n30474 30570\n45271 83343\n7581 89167\n3679 37128\n56245 81405\n15771 51416\n27434 31231\n43807 89145\n20109 39854\n59346 94993\n14837 57712\n12514 40355\n10597 42608\n18827 93541\n27716 28976\n51947 78004\n32843 96552\n37453 89960\n40193 96322\n36092 90149\n34697 43216\n20050 30813\n83593 95095\n7785 34212\n31854 80233\n59307 69998\n31052 95773\n15196 25341\n70759 92402\n48994 83135\n25677 90402\n14333 23758\n23376 49745\n41020 86070\n50540 75451\n72139 86600\n736 23034\n30518 38422\n3259 77622\n91959 94191\n44783 98979\n11435 52793\n86275 93307\n47888 90056\n36754 59101\n91680 98871\n34982 50040\n18886 89928\n27191 50086\n14550 34508\n26919 79898\n17399 54792\n71625 73121\n60576 96463\n9313 30617\n20393 69132\n13044 71510\n23632 66823\n8824 29931\n66750 87233\n3687 4810\n6009 17856\n90260 95676\n13722 90468\n10982 65315\n62560 75491\n3756 22759\n51239 66830\n3330 90468\n47953 72579\n48154 95543\n57424 63325\n39732 86754\n69859 83835\n42831 67121\n71683 96348\n1072 17360\n52355 81631\n65191 74394\n694 31931\n8766 10505\n29820 89321\n62621 68639\n45139 98859\n35861 82100\n92667 96067\n64524 74879\n81413 85775\n9878 44909\n38307 75662\n62478 85603\n7174 88147\n30614 96173\n48320 56813\n48415 64096\n54394 95630\n16045 18873\n7609 67523\n53748 81858\n57814 87955\n52391 91078\n25740 68776\n10466 46764\n78359 85967\n14724 90429\n28229 90093\n35128 44572\n83721 96687\n7234 10705\n49557 83545\n72036 88219\n52232 60910\n67409 72242\n17545 19377\n1537 95424\n4330 36781\n37541 83543\n72784 95141\n43832 56038\n37313 40907\n82713 99239\n42867 86550\n62399 80938\n15548 41959\n4763 19453\n10525 88931\n5026 61698\n1445 60153\n58662 82850\n46191 84547\n41327 92668\n16432 93599\n69534 82357\n49217 85390\n25429 26692\n66074 86284\n84104 95162\n12576 43365\n39410 54671\n51240 73952\n58701 90112\n52737 54566\n87406 94453\n9696 74895\n63065 94572\n14229 65414\n23261 83682\n39 94074\n27021 54746\n37215 40607\n32280 77322\n47460 80743\n67811 85844\n9605 13200\n20916 31379\n48357 49472\n52338 67471\n79392 84626\n16281 18743\n17588 45152\n50826 64109\n7976 49621\n2700 10762\n31650 87554\n17889 40522\n31312 81379\n94747 95190\n21243 88534\n22716 71044\n16590 26710\n22877 27160\n24821 97299\n3944 33534\n66175 69621\n25783 63446\n15556 90198\n12669 15738\n9645 39183\n9666 39545\n23058 46451\n7670 79416\n38088 81161\n7067 75597\n19711 26793\n47683 72867\n18806 90523\n26097 45264\n10241 47281\n21332 85609\n16201 62213\n4180 7064\n27443 38425\n33510 54686\n40164 81139\n22616 65593\n48120 83875\n25674 63495\n49442 56893\n5038 94643\n6820 95809\n38343 67033\n6816 74485\n38430 52844\n14016 66768\n4833 86427\n24469 89913\n71632 81894\n29681 81362\n32207 37731\n71432 78434\n42441 45365\n26321 37974\n32871 61509\n83662 97298\n2704 75651\n30491 70551\n13887 23035\n46621 62017\n20429 84360\n10299 52030\n46518 56099\n16056 86807\n25386 65601\n47876 83420\n54156 77037\n33695 38137\n27488 82477\n9315 82868\n87911 99519\n40988 85968\n65311 83938\n28633 33553\n73648 98037\n7530 57669\n1703 2283\n78186 86641\n42987 97609\n21423 59719\n63208 94384\n76895 81436\n71224 77869\n34626 94561\n91031 92996\n55528 57077\n10438 69417\n52624 88744\n51591 56424\n9532 23501\n36395 98442\n38245 85314\n3170 85422\n48439 94907\n37848 89239\n21014 83059\n2241 52873\n73284 86757\n37300 63405\n3464 59685\n10687 82095\n31865 48165\n78580 82583\n2399 4631\n36590 72129\n24281 61285\n8300 39563\n50992 99474\n46004 70734\n7724 78931\n14856 22561\n12289 51968\n11491 65490\n74553 86843\n9200 97390\n8728 56461\n8166 45523\n22057 81919\n20520 82663\n7291 16329\n57139 91102\n54523 56524\n85164 95141\n72113 79939\n4677 59480\n37177 78521\n15891 90831\n58460 90267\n6084 35017\n7516 21489\n30936 83295\n30592 88482\n35151 86192\n9469 65233\n44952 76159\n10854 48156\n15037 75991\n8681 88384\n24170 67350\n38086 50092\n13112 53289\n72188 89477\n58422 69499\n2364 64380\n8233 66953\n3133 20217\n30461 52417\n19072 52575\n7072 99730\n2812 50669\n35739 49950\n68354 94760\n38973 75114\n36852 83665\n27911 55883\n24313 81060\n24926 71863\n52571 87475\n21912 48310\n44220 68318\n4462 39755\n53383 54951\n15107 40236\n17062 63324\n53312 91237\n12035 14097\n51031 70402\n88516 98049\n13617 79461\n48767 64295\n36443 48444\n19632 79933\n33932 58587\n6856 67775\n27226 71125\n58645 93111\n7307 16761\n5176 29175\n57228 68296\n12526 42471\n42157 59535\n21903 78749\n19553 40048\n77813 84597\n3357 83530\n78929 90700\n52907 84629\n23973 65934\n36974 52282\n64876 79920\n55164 96350\n41775 77012\n43266 99570\n45679 62662\n25670 50781\n24741 65129\n44286 79512\n15693 83325\n8524 91819\n79912 98983\n37962 74212\n59926 72199\n10183 61796\n36928 38233\n26759 37072\n52538 98617\n40176 50331\n30839 73344\n5977 12374\n43629 57744\n34302 56458\n38281 95329\n63727 90696\n10889 31570\n17317 22545\n53870 66763\n2589 77068\n5701 21512\n7017 85560\n19566 57544\n55417 88840\n36464 66883\n12894 34823\n57565 99806\n14894 18009\n53433 76636\n5199 52239\n42866 62962\n2557 40360\n8169 21362\n39563 57315\n80366 86285\n60094 71304\n40007 92441\n5316 45527\n27506 70124\n14147 65444\n6015 25329\n16788 28377\n62138 70039\n32415 49760\n90202 92676\n7715 84237\n68832 94411\n47223 58987\n26007 82073\n15965 71715\n32801 68464\n7997 36149\n3581 74639\n52398 71008\n21655 68833\n32886 52834\n5114 31527\n81011 93349\n76376 94888\n693 88150\n513 48312\n30742 33933\n50012 72188\n15627 56254\n21824 81975\n44954 58169\n23733 43531\n47062 97167\n3671 91542\n16258 84332\n49948 54018\n43133 99818\n41145 72421\n1657 91725\n23211 49263\n24445 97826\n18500 93356\n43572 58634\n33268 54013\n9632 27870\n78734 83202\n33491 90078\n67037 82114\n1264 31067\n48420 62212\n33880 60099\n75540 99278\n26128 94801\n14823 48766\n235 65128\n37533 38980\n11958 64256\n39849 45649\n29991 59420\n676 50453\n1388 48060\n42743 62076\n24199 36953\n40007 93184\n313 63170\n51680 85849\n1715 23218\n70156 81010\n48450 63171\n12906 58559\n68126 74273\n32984 88345\n44520 87979\n21562 29221\n90442 92146\n54796 55864\n10379 96592\n47218 78598\n9200 46934\n37200 82889\n65095 65548\n45258 55518\n5811 84102\n38419 84922\n21476 89008\n40512 43981\n24641 72158\n1527 63787\n27141 32200\n13653 25736\n38724 73994\n68916 80128\n29456 68025\n53449 83588\n16259 40842\n29238 72723\n54852 71349\n42169 48988\n66590 67707\n11839 60689\n26870 99187\n30453 95426\n48284 77635\n72319 83448\n4449 57840\n57616 95182\n31958 88747\n21323 92975\n6331 61083\n39509 40998\n33825 38334\n67054 73919\n36111 59491\n2557 63564\n25533 66126\n70285 78234\n96647 96837\n66028 99729\n73576 98024\n83479 98981\n10333 48752\n38227 94553\n72168 86868\n20072 71224\n31912 57793\n41594 82067\n59679 72619\n15255 31621\n31740 49426\n1292 61386\n8848 37366\n2983 62400\n11487 64679\n8337 13154\n2270 57080\n23215 59537\n28220 40667\n18388 93528\n22117 39367\n32271 51225\n20888 25613\n811 71312\n55459 64799\n21823 33224\n55884 94050\n10831 34352\n2420 79405\n24739 56418\n35614 84229\n68929 85806\n10825 14757\n14408 71690\n5990 42863\n41593 85629\n18912 20221\n35709 56434\n11188 56603\n40540 80291\n34323 89189\n30945 99571\n40446 57048\n41641 86442\n1914 27840\n17680 23929\n3003 27719\n7562 15165\n5775 76976\n1139 13458\n16997 77915\n16453 22843\n54495 61844\n24587 99308\n27362 38059\n29861 54630\n47179 71706\n56408 79894\n10579 23520\n69954 75248\n55995 74651\n44707 85998\n66391 84084\n6787 95221\n10732 34040\n56548 90853\n46278 97622\n64825 96218\n10873 27558\n75226 84244\n76145 77356\n6431 33769\n64089 78226\n31854 86040\n4067 94930\n26719 81789\n32386 85851\n44622 89720\n46689 88410\n38450 39717\n32968 62107\n52418 89694\n19556 97366\n49206 95561\n4071 23083\n33985 61575\n45938 69941\n21479 87469\n44461 72572\n42535 74160\n56826 96009\n7845 90583\n16105 28282\n47972 72350\n9407 98572\n42501 99769\n53372 91458\n26730 63020\n26100 66618\n71948 87164\n69030 83411\n2194 77904\n1735 9958\n3714 74582\n1549 25092\n32088 97215\n35842 82748\n35081 67083\n90138 99523\n39051 95790\n28661 71253\n15923 89234\n10586 29917\n3510 61224\n9149 14244\n20875 89193\n51669 59292\n70223 77670\n34794 47547\n5237 34957\n45139 83604\n7782 36898\n11181 26048\n21504 44154\n31183 71404\n20670 25757\n84092 90977\n22614 94003\n50886 67501\n49664 84366\n3412 10903\n7302 10627\n47758 73696\n87519 99528\n1273 13423\n1966 52497\n17854 91671\n1095 34888\n26329 46316\n3039 87098\n3521 85312\n73639 83523\n24796 56183\n19752 65662\n24285 72876\n74063 76199\n57885 68145\n32391 52381\n13994 15625\n768 60446\n62033 92946\n5527 59921\n4627 88069\n52612 90009\n8591 21733\n6118 23368\n77867 86416\n61010 65213\n6595 47193\n54307 90919\n26313 88288\n25213 33493\n36426 51746\n9801 82654\n74789 76097\n9645 31578\n75114 91974\n34897 70716\n52371 64567\n34236 39943\n71140 88103\n1782 48322\n68278 74392\n14900 66891\n29969 99387\n47814 73097\n41918 70750\n27664 76491\n20582 53312\n24182 55348\n10869 67330\n33367 43588\n88863 97702\n5891 11908\n9476 85548\n1909 58689\n21813 27249\n46692 88642\n37461 80527\n66736 76473\n2470 48786\n23599 69448\n10346 50868\n95220 99896\n38049 71638\n78751 96383\n27998 67663\n16855 60598\n21676 41845\n63042 83123\n23184 37425\n25514 31931\n7053 95409\n69018 76556\n93147 98828\n36049 69382\n34626 89294\n7452 89576\n1093 51470\n4150 52695\n90995 97175\n5064 5449\n79748 86116\n62355 99886\n61731 88723\n62657 79380\n54621 89312\n44103 96621\n29287 40710\n66957 92517\n17862 32076\n62233 93321\n37987 91133\n9516 59098\n7978 34346\n6522 68974\n43815 54708\n35169 95903\n29727 99807\n39460 61686\n56928 82859\n72736 97149\n6484 72780\n13373 67467\n1559 45964\n37831 94677\n36903 40876\n14491 46461\n30365 50286\n42247 89399\n63353 76152\n74874 75103\n46810 95636\n17198 32236\n38704 76466\n26799 87168\n13719 40513\n20434 29777\n23167 35497\n71398 73430\n52757 58277\n28795 70216\n29202 30902\n17825 56841\n88128 99480\n71740 92429\n37582 84763\n59851 78853\n67286 91662\n17785 73360\n5872 86892\n18739 79868\n58276 75880\n19531 24185\n70091 72585\n49337 98602\n30985 39734\n34321 55333\n28792 52541\n1201 81316\n83286 93495\n79547 92361\n84703 97511\n6535 64594\n49756 91365\n4497 33259\n4908 96043\n10405 11605\n25976 68933\n6857 55318\n15442 82509\n18999 73991\n40105 52161\n55085 72700\n18419 88319\n38427 70012\n11324 36050\n26946 96121\n81865 95645\n19833 27906\n1447 87515\n14014 78325\n11481 96626\n36264 42567\n62090 70687\n52418 57898\n19456 46935\n64252 98610\n25205 67889\n59642 63354\n9939 18654\n20182 74436\n27446 33139\n26156 40345\n21455 61240\n69587 98898\n2951 65125\n44921 66661\n24723 30143\n30698 97689\n41748 72842\n12558 68876\n12839 82885\n8230 74136\n29808 42786\n45625 55586\n13893 62811\n36801 81927\n21530 66260\n16949 64573\n22398 75575\n23353 58849\n18571 21480\n42434 79385\n75918 75965\n60712 72728\n31568 45273\n69408 75708\n4858 67585\n20522 66599\n29036 41652\n29808 76228\n14331 85926\n51072 59810\n47390 72140\n35995 97013\n32522 82124\n8282 13846\n46178 97668\n34040 78446\n62401 83944\n24312 36596\n42195 48303\n81734 92930\n15903 43787\n64298 67442\n777 90367\n7594 43966\n68136 74169\n19844 23495\n29510 69380\n16794 21678\n50885 56072\n83306 95900\n12938 19483\n42972 54203\n20905 22176\n26069 95970\n50084 95062\n20017 68656\n43856 43946\n89105 97433\n40158 43319\n42442 47960\n32573 54492\n1655 21521\n46778 67763\n35104 99400\n5755 73567\n67593 77658\n33760 89589\n5864 30354\n39686 88478\n26229 34504\n4510 76649\n30148 44851\n40640 60856\n47592 54904\n74740 90726\n48360 53522\n55652 93782\n27657 50150\n56576 80703\n79634 97261\n14718 87697\n10184 22411\n19629 43486\n7952 27428\n510 49186\n3087 19525\n19162 20679\n8796 92925\n42425 49632\n26155 37541\n19174 47643\n73829 96369\n5828 40861\n20089 74355\n25315 77606\n55189 83316\n34286 59620\n27429 51904\n57362 65353\n79236 81161\n37972 94308\n23084 94398\n72694 82625\n57083 63014\n17063 54092\n12511 81734\n41978 87801\n16183 18199\n6953 90555\n10692 38644\n16451 40182\n24101 49853\n2125 88276\n84061 84899\n10699 50052\n21101 93814\n17259 37342\n12562 78013\n7047 33393\n53514 99081\n19250 65986\n20326 58932\n62817 90138\n19552 71458\n57575 68817\n30086 96246\n43431 87216\n33553 36842\n8781 83293\n20316 98568\n31041 87660\n15412 66050\n12280 68011\n14151 61193\n6885 40728\n40703 54033\n47002 60075\n22378 31541\n27932 62282\n5415 74621\n432 71095\n7458 43038\n22603 50580\n33629 72666\n2650 93761\n45553 96098\n65500 74171\n80165 88001\n3500 49187\n11585 50097\n83705 87983\n43851 97815\n40795 81417\n72409 98563\n33628 96779\n9434 72471\n38045 60866\n36248 89913\n87498 87716\n21505 31702\n5490 43872\n4714 81679\n55737 81156\n35754 39352\n33456 87450\n21925 80363\n52881 61823\n78321 96008\n16328 65460\n41097 66570\n5249 89865\n35110 37568\n36494 45954\n40092 51068\n30828 51167\n9367 29187\n46215 79374\n35411 78889\n2012 8463\n53011 62714\n36583 38996\n49134 78039\n20808 26513\n27935 46382\n3201 13837\n19626 47859\n70587 81496\n84769 92211\n4076 41568\n35149 56887\n3754 42296\n47984 73882\n38600 55382\n51778 98038\n3105 13922\n25955 94144\n59364 70175\n7505 95209\n5927 77232\n22764 89784\n60799 76746\n17332 97857\n59419 83693\n52017 70554\n40299 63927\n48131 63043\n13232 81082\n30618 34815\n7461 86947\n9188 17486\n37114 52941\n8558 59929\n13714 13857\n20017 65650\n31381 69006\n2101 34626\n38338 89333\n29344 39838\n37586 70973\n43289 48936\n55162 61318\n25568 87341\n79816 82595\n31964 88663\n62181 86092\n67046 68434\n43491 93102\n25344 29727\n73254 86201\n28139 43067\n24517 92919\n5248 61276\n3508 23994\n25537 90854\n11043 18728\n16744 80015\n45433 61577\n6302 15462\n47374 88026\n32462 33603\n37998 85015\n21424 35987\n25283 89793\n22181 22540\n37966 40293\n29854 81518\n67319 91945\n46224 76844\n18511 92440\n39862 97016\n38260 72410\n16902 93077\n4342 14673\n67638 73229\n10871 95940\n231 41081\n45089 87678\n42105 67709\n16310 68819\n70401 79130\n12418 92047\n11390 66087\n20358 91792\n6664 41927\n33927 34824\n18628 22441\n23599 57132\n7865 23155\n44134 63267\n75802 80516\n28946 87050\n69413 69539\n10328 61768\n69123 91394\n15412 80416\n27209 49347\n69008 86065\n66902 87472\n54057 81700\n37058 96018\n86316 99340\n57128 74463\n19789 27801\n49017 89655\n36102 47716\n26791 74364\n32904 70502\n49817 70554\n56668 92202\n10513 16674\n4128 75464\n47771 58227\n26945 83651\n22247 70636\n54663 56431\n3469 65767\n90890 94396\n61169 78839\n83641 85952\n11265 74810\n39380 96901\n32791 86648\n25832 92343\n15207 93965\n28691 35410\n13987 22206\n32517 73715\n24878 72462\n52601 78154\n9133 29527\n57121 71031\n4163 28060\n46987 87796\n58775 98952\n9427 43044\n34981 47761\n48521 64766\n34034 83136\n42400 53339\n9507 20980\n43727 48633\n55740 82509\n37837 51585\n58800 71846\n52568 84862\n34557 48453\n49922 95254\n61002 71287\n55437 86976\n63971 82480\n15981 85299\n45831 57108\n73035 98003\n40312 97986\n77814 78416\n16562 76157\n18474 58119\n9142 61766\n21769 31839\n1254 21304\n90058 94235\n2158 23254\n47738 85445\n40780 65036\n59491 62240\n4228 49161\n49713 91030\n52978 85316\n7059 48557\n77301 80891\n9097 18150\n37690 56770\n23990 78783\n49538 76559\n91521 91524\n30833 99824\n2463 24938\n17225 84828\n6874 97911\n31593 84399\n10029 50159\n38142 44597\n47951 59742\n18975 90773\n4513 41738\n10453 84828\n6618 65356\n53077 93076\n3643 90545\n15536 37959\n41291 66227\n12821 41122\n53891 79809\n9851 37516\n31634 67565\n17232 93734\n43300 90281\n22422 68734\n30039 41257\n56629 58139\n34417 53750\n20114 68412\n13346 53623\n1056 66860\n7994 41607\n42387 42820\n28068 53015\n32005 60140\n49922 60745\n46285 47030\n5277 58720\n83357 87997\n19096 44495\n88047 92254\n16351 24289\n10633 64107\n34047 87293\n50249 76845\n13467 30036\n20441 24535\n47228 55416\n55286 84023\n21837 23924\n60031 69214\n20372 64163\n27607 78243\n39431 57965\n8489 56407\n31346 62192\n16905 18252\n86942 95580\n18396 48473\n50306 88035\n27461 93568\n47890 76518\n44891 68056\n57218 81843\n52989 73220\n40633 40814\n43460 99349\n32127 52946\n19678 87003\n56444 74642\n166 88581\n16320 25295\n7345 19397\n74294 88731\n960 70767\n28910 59010\n34016 80882\n58990 99229\n50748 61357\n49305 98306\n22105 44097\n34182 68392\n41081 80765\n13178 43654\n27248 96249\n50904 60603\n25322 49768\n23987 58057\n52864 86078\n38898 80260\n423 9484\n91567 93805\n61174 71421\n62960 73385\n75337 93090\n46988 63283\n14839 98107\n206 35909\n39896 43388\n35803 95394\n71605 88332\n35557 69109\n34141 67546\n40759 49307\n7383 18818\n12344 21096\n39073 91469\n11762 96623\n7571 55744\n15880 69810\n54105 97729\n59779 76569\n70818 86111\n3133 21129\n63549 94809\n60567 62551\n65420 81038\n1974 78082\n37982 44054\n12494 61321\n18147 36922\n53054 99622\n73140 99607\n26280 81263\n4342 40474\n19715 60117\n4947 44665\n11184 42153\n12694 18546\n26182 92670\n35771 76217\n34767 91749\n39199 58535\n58103 72854\n7015 93609\n68307 69912\n20960 58431\n18417 78785\n28545 37265\n3283 25730\n10994 24753\n88075 97431\n26792 47770\n8735 60882\n67498 82274\n18090 77820\n24942 26310\n1880 41640\n16567 19424\n59155 80349\n19363 93754\n65045 76248\n48013 66357\n8344 28396\n60301 62221\n10512 35087\n13918 95193\n23806 96195\n16663 97737\n19946 85799\n54476 96191\n36887 66655\n54922 68990\n10508 37763\n54698 82886\n30587 72445\n17970 62563\n60432 71260\n58467 76536\n27925 59638\n72843 78967\n60500 77517\n19478 90773\n7981 22342\n34288 60571\n35399 37567\n34917 49213\n17233 41692\n81974 92193\n31741 73964\n14352 22138\n25704 30746\n48269 75179\n995 12831\n75319 85479\n14167 79656\n58275 70101\n46513 46892\n86025 87559\n18234 21041\n17474 52033\n18217 35996\n12941 91264\n40098 94624\n21111 30027\n11193 62692\n61389 64881\n41324 96852\n24197 75571\n43001 76743\n24836 50281\n14088 82086\n14518 77277\n54177 92578\n58439 72396\n33456 94642\n42506 74164\n78757 90175\n16262 76560\n26772 88105\n20858 35812\n82448 93569\n28031 65651\n10638 69918\n35264 73699\n23450 96053\n31493 55659\n29315 51856\n27532 30316\n21896 79566\n13536 63464\n18024 42080\n55683 75080\n32123 71069\n46634 84854\n36012 52993\n30640 65557\n18346 19086\n6899 18329\n44994 80812\n1955 36186\n16918 17223\n4770 63281\n40675 73998\n33311 93620\n64442 78576\n56011 87589\n54354 66690\n38119 75179\n9890 22372\n14028 67496\n8744 51707\n3893 44342\n72317 87314\n28816 41778\n34772 56413\n13762 87355\n25097 41406\n29050 32460\n4257 91871\n47746 80460\n51577 85603\n71614 83319\n58326 58606\n24182 44664\n44545 97592\n57790 59184\n34531 79325\n14594 88495\n18842 97601\n24368 73871\n28608 72555\n61699 98704\n54741 67910\n47004 55100\n48447 50471\n53796 55872\n16207 75432\n2021 34641\n16153 32323\n25602 98322\n23792 74120\n27700 72091\n30559 34597\n15530 28240\n54841 89218\n19993 26957\n175 74339\n3794 70885\n13592 49038\n52737 98222\n60073 63882\n70379 77530\n28308 46833\n58584 98447\n43942 79217\n13154 49671\n27012 44394\n25021 27320\n10658 29918\n46458 89114\n64913 97708\n13947 54559\n68562 85198\n59697 92479\n3548 42519\n45432 81179\n29669 57841\n15436 18367\n56650 59136\n2923 96316\n49471 97348\n43158 85999\n27880 73202\n79306 88191\n13666 18044\n47499 64167\n30541 67635\n54350 73325\n48913 61318\n29174 84676\n22430 80178\n56862 66443\n15696 50443\n46384 88551\n42362 79335\n2222 51920\n69999 81692\n59659 85435\n26294 80050\n40929 69722\n23806 42860\n36888 44497\n66887 71366\n8841 44027\n26957 80629\n31672 58387\n78074 98625\n11302 20410\n79764 82756\n46328 79391\n46653 85438\n43407 76313\n16479 97087\n4822 59942\n33430 77712\n33648 42924\n3400 73162\n1009 30929\n18751 82880\n77879 80255\n5876 20229\n141 68178\n17197 73419\n17769 97433\n20572 76447\n79076 95701\n90757 93751\n55800 93154\n68662 89825\n14004 50399\n20256 24063\n89028 99474\n26043 63746\n13028 48893\n1754 64818\n30243 88395\n5924 8130\n35464 60545\n25297 34095\n26876 80231\n42235 53371\n8311 24607\n39939 77575\n24533 33851\n41077 89222\n12618 39263\n49777 92133\n27622 34920\n28590 84594\n1677 92801\n8521 57239\n13818 79621\n52044 65636\n25119 43591\n56021 69511\n2635 54824\n33385 91732\n3189 59272\n5478 39963\n61727 63698\n29200 40642\n28313 85715\n66661 70824\n56230 92355\n52549 83305\n48878 51355\n49220 51058\n4190 13577\n61062 91063\n26139 40621\n39801 84677\n79574 98824\n70210 73244\n3553 41758\n44268 78805\n28610 97258\n50444 56938\n63378 81742\n40031 70063\n6892 17113\n32029 87668\n11677 71762\n19442 91443\n79863 89758\n9521 66485\n28348 35863\n84628 88533\n88096 88650\n29949 34974\n19675 47221\n60129 91089\n40313 55241\n1184 15487\n41488 42813\n64255 85720\n83332 93409\n59493 66964\n35817 94756\n65302 75630\n19654 41348\n46742 53758\n72242 73580\n48044 49780\n2551 40585\n47568 71848\n40029 58618\n22414 36057\n81481 93245\n14159 25587\n16302 98367\n68746 83981\n27306 91623\n2390 72025\n25352 70934\n13178 99815\n15692 99856\n60386 61220\n29877 98167\n23941 39607\n19201 48712\n74225 86773\n75802 93002\n34015 84680\n18179 57735\n56414 89286\n11242 50961\n22674 70088\n76183 97054\n60494 91908\n8840 60491\n24866 57641\n11858 89882\n39724 57326\n21748 44558\n1651 67421\n13831 45673\n16928 21868\n76991 78563\n15031 43776\n23538 68342\n3258 84796\n9986 69882\n70224 76880\n28382 31345\n10954 67409\n68881 93231\n50113 73616\n11569 18856\n31112 32109\n16484 80554\n36750 89027\n60928 63794\n33498 52828\n74842 96540\n62879 74520\n966 4338\n10128 29946\n47239 71039\n65306 89499\n75911 95978\n26705 37351\n23982 58640\n46226 72241\n73262 82254\n57968 66483\n4328 27897\n45917 76441\n26513 33719\n71572 76919\n13841 16178\n10255 15806\n66361 84626\n75447 84413\n86329 89862\n49678 65774\n21109 30176\n57137 82987\n15972 79092\n54366 81211\n32647 35249\n3084 50188\n41927 79707\n60270 99223\n7219 88592\n17632 44679\n25690 33190\n71394 84669\n2038 56870\n14080 84544\n37769 54147\n32483 57104\n9136 23764\n5242 94685\n52237 73826\n36346 91735\n5087 18097\n13790 32022\n43274 69137\n15235 67971\n70712 92422\n46813 81914\n36861 96023\n76518 95771\n10553 26996\n60369 60432\n93424 93465\n42364 70140\n35579 71879\n58079 82785\n2406 46128\n6884 90610\n2704 62859\n48732 84132\n60093 70048\n19223 52864\n7136 52845\n27175 75426\n50897 87486\n58080 71597\n9881 24019\n24774 83390\n6357 86658\n1855 52052\n29491 71365\n57279 70770\n2565 55777\n8282 61228\n8048 49307\n34905 75148\n3209 43573\n82037 93808\n11886 50900\n50943 64026\n4583 81682\n17316 38347\n73083 80630\n8180 47952\n12332 40603\n49658 99931\n8225 86588\n22321 44226\n6816 67274\n35053 48173\n6009 22632\n31350 92169\n9644 52930\n21037 53408\n35343 47286\n1940 5728\n84869 98521\n45220 96218\n44233 61397\n17162 83527\n21053 87052\n15691 76882\n40270 97973\n19158 50122\n18974 80252\n7160 73857\n5162 81711\n80656 90163\n13910 77938\n11904 74555\n29530 41847\n3761 82002\n21124 50564\n21341 56627\n52493 88195\n26157 47559\n63972 70619\n28140 51975\n37026 82740\n79650 83017\n2890 70240\n17421 83034\n69784 76662\n31117 85195\n60019 95485\n17908 77979\n58056 96550\n81299 95053\n86274 92382\n19875 24872\n41127 75722\n1925 7752\n91132 99227\n2424 92803\n70257 95190\n39904 58605\n35569 51297\n42076 57806\n3771 37393\n59262 78979\n7277 88371\n3255 64639\n20531 66648\n40 75096\n74854 84391\n34961 66328\n8272 50605\n791 43427\n86778 89787\n59100 70975\n44655 96029\n42945 47016\n24992 61402\n2040 48996\n16740 68032\n72686 89327\n12985 53227\n42854 76650\n28657 44793\n39025 59234\n5726 17718\n67432 78675\n48197 50927\n31665 68388\n31138 99871\n7288 79761\n48322 86255\n21233 90671\n34693 95541\n76143 80933\n25208 37356\n18577 34042\n8635 53639\n19941 49596\n5063 72127\n1306 74296\n17209 62419\n22530 92851\n90906 96390\n85962 92788\n32826 86508\n92648 95011\n53954 58771\n39514 87049\n28476 34365\n14080 91172\n26033 34915\n84145 91855\n31829 92935\n25253 68989\n87781 93991\n18630 44616\n3758 53003\n26001 39069\n54924 63378\n43346 50320\n59525 74506\n25002 29682\n24643 90200\n18606 64371\n26440 39770\n25763 88093\n14067 50958\n43187 75913\n24567 39818\n42912 49028\n21900 53800\n7668 18308\n43525 82642\n39286 56815\n53358 81393\n6670 13954\n68164 89785\n3467 30970\n19685 35296\n4321 25767\n49215 73232\n14590 70338\n43771 48925\n36426 42912\n16601 76310\n3974 89308\n61932 65519\n12258 29581\n32835 63233\n5909 37465\n9071 99756\n47465 97550\n20923 41064\n54538 65569\n1297 45481\n40867 88484\n12344 80096\n19746 81152\n1935 32552\n8896 25872\n68733 72541\n17842 63425\n84838 87939\n31158 95125\n21736 40607\n64930 85199\n73606 81730\n18739 43725\n29970 89260\n45441 89668\n23479 73045\n32208 60962\n35908 43203\n65382 85202\n46125 93081\n51694 78322\n70319 86136\n7030 62176\n9064 14988\n22984 40590\n8764 38848\n14793 67267\n11985 45073\n30410 56162\n24548 40323\n24834 35740\n28838 38497\n15172 84613\n41461 58434\n43011 52379\n19527 37215\n2390 32979\n54879 89301\n23095 36754\n4650 62605\n652 95901\n35940 44784\n26729 68071\n34763 79090\n8129 93452\n55521 77835\n25656 70118\n23233 70580\n60787 91746\n6183 76781\n79153 97109\n63560 67862\n41881 95200\n24372 62774\n4525 72308\n8452 90334\n25116 98925\n31955 92286\n72786 87273\n2505 85853\n31459 47687\n32595 41987\n8883 66623\n3606 44135\n23974 31134\n50487 58496\n40822 44401\n40127 91394\n27015 69297\n52904 84126\n31198 96836\n25479 92099\n10330 35242\n65510 91507\n1902 95091\n9745 78615\n58017 75344\n74024 78885\n60522 84506\n10481 14653\n26587 38158\n5901 79521\n10074 83236\n61660 77832\n54282 98708\n13223 28963\n4062 25115\n14760 52608\n52575 86846\n16793 54339\n3333 82579\n61007 61081\n8137 91387\n3080 11906\n21133 44350\n91329 92657\n77078 78956\n5704 97979\n12164 74532\n2291 13688\n12623 44798\n71225 80105\n28836 87699\n43488 96513\n67144 69851\n48261 55173\n58269 82810\n79068 95456\n52460 90264\n45990 51018\n53233 82618\n39662 62500\n72315 73518\n1934 99732\n47328 94547\n15583 22829\n33248 70661\n49583 95156\n3018 34071\n45020 80330\n33444 58827\n54138 57443\n83302 83367\n54586 91255\n4104 30840\n41939 58112\n3156 33062\n46460 50620\n58667 61687\n29019 77777\n50177 83036\n30193 40848\n61052 85316\n36608 70654\n20576 46124\n3425 83464\n18039 58356\n51275 70803\n64726 94835\n4793 30427\n56407 84672\n23984 70914\n78268 94570\n74000 99975\n72667 74379\n3769 79161\n15509 35915\n4972 83776\n32822 33720\n83750 85847\n43067 47287\n30727 64320\n8766 58966\n11849 42397\n1906 24502\n26090 83513\n25945 63934\n69771 97902\n84939 94621\n824 16343\n70014 94445\n51841 59121\n20716 84063\n38689 49306\n19637 95890\n26770 86263\n53480 64168\n34259 40650\n21945 75259\n1380 94223\n24328 47354\n38211 78612\n28907 80401\n59786 61674\n72116 81052\n9631 54275\n49110 71739\n39181 78103\n58299 81665\n24619 96191\n18305 56244\n57035 58480\n28568 51375\n29323 63284\n45678 76509\n11737 34160\n37851 44888\n31803 95657\n51775 61630\n19398 94597\n20286 84737\n7349 40102\n1529 55508\n3666 27999\n43325 84552\n13950 80937\n72798 90173\n87139 92385\n35928 62384\n54922 66408\n57222 66046\n28741 88481\n44035 51362\n22828 38582\n60788 67656\n72413 76183\n27304 64561\n47404 93744\n41240 72796\n18791 58560\n27050 50060\n3516 4871\n12824 32308\n91755 93223\n42959 63999\n88866 90772\n44205 60296\n22371 55091\n26089 77211\n6039 55900\n30331 66634\n59607 79687\n62313 66793\n38394 86608\n2808 64115\n42062 98799\n9967 99248\n83782 88311\n21514 53159\n34876 70471\n43049 43172\n9819 39319\n49263 66266\n1805 61882\n2539 81592\n51913 84386\n783 29428\n63448 89310\n6081 45463\n46375 85555\n30697 68114\n33032 48929\n33720 79163\n1257 68193\n52419 76109\n48856 99640\n6108 93268\n30118 54650\n48974 74175\n36051 50802\n47515 95787\n37711 68679\n33398 42315\n21562 63270\n10682 67844\n9869 29849\n67797 82651\n8789 63356\n30151 92805\n47016 83823\n33614 41822\n20770 59868\n13043 68945\n2640 85286\n79749 98609\n28462 94769\n13027 85991\n47994 90535\n35378 97050\n58564 89316\n36045 42096\n47195 93141\n47318 75147\n9958 40343\n66253 97396\n20237 78940\n1987 44139\n15815 84219\n18693 29848\n41923 70093\n18577 29943\n19932 65088\n9001 63181\n81288 83612\n11127 15131\n1952 52034\n42402 85315\n38706 57501\n2074 64042\n39045 64403\n85216 89241\n2244 99607\n17951 80256\n27684 73546\n34607 91553\n68748 86745\n15599 47106\n59680 62543\n653 18529\n57736 67628\n49437 94453\n68692 97764\n26286 86267\n69361 75988\n18910 62928\n34235 38783\n42922 82140\n42099 78031\n53972 96359\n32968 60171\n2757 72559\n53887 59259\n47964 53356\n19605 34596\n84904 93343\n15964 46310\n14498 42478\n4425 11983\n39868 86911\n10093 27604\n39322 59967\n20832 28000\n6577 82230\n78088 86977\n6669 98624\n12207 48683\n31696 55654\n2541 15193\n30264 89708\n7527 51178\n29201 48819\n55944 87961\n52774 55919\n62688 66222\n38291 46907\n79410 95429\n7613 69982\n71358 84099\n43220 43941\n16350 51939\n4871 98336\n27355 82215\n5781 47109\n71720 99330\n32858 92139\n33380 71078\n40413 54949\n50023 75312\n90567 97871\n71915 85169\n16137 30787\n27606 55056\n52328 99818\n36036 36073\n15674 97311\n60824 88116\n25362 33282\n22099 60809\n59758 67158\n11179 23554\n96554 98469\n716 33238\n65625 66871\n18539 57393\n1155 31303\n51466 59083\n29920 38180\n77342 82674\n12015 53964\n17432 45663\n31352 93878\n6715 27614\n38192 59495\n24379 66988\n58954 81447\n5330 72787\n8041 80531\n22294 50268\n39487 39837\n60595 84660\n33433 73706\n29319 70962\n25964 30986\n56166 59642\n33753 67528\n13650 65507\n37422 53138\n12665 97842\n46567 67711\n63907 71857\n3968 36850\n25274 66900\n41026 56000\n35359 76544\n22453 49454\n10990 57993\n10304 50482\n523 61620\n11183 75915\n8656 66327\n45976 97434\n72319 90611\n4486 89888\n27586 67958\n37948 61787\n26701 65031\n33647 54153\n44025 52595\n5888 46966\n5178 32139\n70289 91742\n49344 62196\n23079 36981\n40135 64136\n5934 25926\n6295 34441\n26144 70054\n63784 72475\n59102 98819\n31785 83402\n58604 81557\n42639 87088\n956 9833\n57996 61930\n24037 35702\n19314 25557\n24301 53492\n36719 73660\n45626 98973\n31323 70496\n18799 74693\n49490 73237\n18899 60422\n18440 77459\n32691 78716\n38146 99662\n39736 77443\n8157 77915\n85163 91270\n54490 92722\n43600 84993\n49064 80062\n10266 55653\n22426 47702\n80055 97899\n20751 25542\n18333 91153\n13467 32773\n27661 70045\n26326 66326\n48634 86391\n53214 99656\n19624 53081\n47141 83208\n47919 54310\n672 13146\n15296 80114\n1695 6415\n27871 70324\n29701 58801\n3047 17743\n78875 79920\n3954 89970\n33188 68399\n40180 91480\n11752 18622\n38924 72876\n29810 31183\n118 69229\n74118 86408\n19085 65436\n22878 26930\n10959 13577\n42093 72234\n391 36377\n61155 71152\n5351 6817\n67585 91884\n34479 90396\n9739 83680\n32058 41425\n36080 95934\n692 63988\n34073 69362\n43025 95478\n8743 21232\n30049 94132\n34991 90059\n60734 75467\n1547 29681\n66215 82252\n83303 94978\n92822 94298\n4862 94816\n30244 87416\n54274 90708\n29220 99978\n61050 98024\n34673 72283\n47224 95160\n9367 50098\n6307 15719\n6463 35905\n9195 90041\n40741 50844\n41280 59074\n41748 97919\n6167 80518\n23089 44030\n24288 42987\n59127 69349\n23822 66935\n16677 80152\n21285 32556\n15858 40275\n12615 84122\n1517 7893\n46647 48938\n716 47089\n31637 54099\n28682 61408\n30676 92002\n46490 88911\n6878 91099\n2635 30779\n2494 4501\n13475 78655\n7636 17583\n79995 88470\n30698 32417\n57285 97809\n54915 82752\n3653 47654\n47167 82584\n20448 81512\n21353 49808\n34905 48463\n1517 22289\n37232 99241\n50809 78966\n65 19270\n39206 70362\n5381 79123\n36748 59835\n36460 77750\n17232 66898\n33369 46869\n75062 78495\n20510 89087\n3153 16011\n16086 75078\n45075 89374\n58876 99453\n8488 70715\n40050 55072\n3250 98951\n13908 63003\n21188 42875\n11878 22699\n31400 33883\n31318 34633\n33386 38732\n50043 79313\n95170 99532\n24484 92097\n57464 83131\n51551 89317\n33724 75138\n17780 61510\n69531 90249\n7283 30948\n5247 98339\n49441 52083\n7863 22366\n47765 58302\n71496 77693\n56478 67065\n46435 70508\n16442 82225\n43886 54409\n17447 91857\n59553 91625\n42666 48394\n35808 86036\n29351 93227\n16246 37733\n44961 92304\n14178 85312\n86271 95364\n69697 77519\n8765 65621\n7321 46761\n63220 97656\n54326 65363\n8720 18309\n70475 94809\n45237 63954\n31319 40379\n94530 96852\n1742 39125\n25732 34511\n47535 48417\n1854 90692\n5317 91555\n34743 67625\n10452 11306\n3464 49732\n501 14337\n31432 74077\n12012 34453\n895 69082\n15079 22913\n32951 51903\n65786 67047\n43910 65244\n55423 64772\n30006 90001\n13964 33329\n2228 64201\n30575 53710\n30072 65179\n36974 63630\n18327 56825\n11159 93117\n20578 67127\n26276 44982\n9592 13900\n65761 67898\n12303 34584\n21566 35449\n9561 57944\n85881 99809\n27110 93691\n10714 74517\n29516 68554\n24056 75714\n35983 56661\n48029 51122\n11867 43357\n4987 17423\n29696 48706\n71278 88070\n22295 24668\n23199 88278\n20254 87041\n11249 98024\n48147 84750\n28385 95521\n3139 53710\n1803 68584\n24615 88361\n5913 90203\n37820 65958\n29314 58964\n59919 62704\n13980 24576\n17522 66230\n17887 94910\n23513 79135\n26001 31349\n22179 73119\n93174 97834\n2247 24654\n51730 98757\n64412 64737\n25083 92828\n6619 14704\n69093 93793\n25390 26926\n36828 79387\n55874 81756\n50535 65436\n13320 71299\n49198 90627\n36889 85533\n53629 57153\n30263 69776\n45839 73793\n27006 54577\n5348 5959\n9668 44705\n33051 98959\n34626 51950\n10911 43176\n36141 57102\n35579 93373\n1347 36424\n17899 99125\n79668 91822\n11676 32449\n8829 20114\n51880 83727\n54879 91368\n12008 35067\n25018 57272\n79297 81901\n2037 80312\n70946 89581\n17549 89011\n1238 29472\n38851 78310\n84331 84457\n25494 59325\n2169 67379\n9297 95219\n32194 84518\n96253 99273\n31509 43776\n32084 38929\n2842 84554\n45401 47975\n38497 47896\n20890 22105\n19900 39186\n37338 61513\n36081 50253\n44232 69736\n47849 52867\n20524 73540\n54345 55795\n15586 21866\n8313 33421\n1043 53383\n3620 30214\n34768 40926\n51695 64551\n66592 78076\n70532 78500\n41601 93586\n67382 81333\n4161 72868\n350 45263\n29654 44444\n8620 84420\n23796 69494\n51771 66247\n6100 24979\n63962 70768\n4078 88953\n56612 95446\n46844 79874\n7035 80291\n22144 50852\n59812 99301\n15226 51566\n6093 45293\n7799 54710\n41965 93481\n25408 92939\n15537 37521\n20360 93004\n71892 85908\n76339 80342\n1413 36087\n38601 71892\n27162 27311\n12582 81602\n30179 74087\n37823 52470\n5757 51982\n22735 82042\n51541 88983\n30752 34982\n18674 19815\n8476 53085\n35658 52935\n4081 58911\n51647 65641\n67107 95171\n26215 56554\n25391 61496\n97 79473\n10436 86568\n882 2083\n42250 89552\n68280 95878\n12946 74396\n28972 31375\n23254 60067\n59613 68505\n7909 72301\n8340 90497\n53732 79414\n37029 88238\n10698 56442\n18074 68410\n354 5425\n56081 89707\n50633 73943\n2579 11937\n57174 93437\n42174 68076\n14030 40133\n8750 35320\n27060 75677\n47333 49359\n56037 70497\n70137 77070\n80070 82938\n81488 87698\n11064 98516\n5510 29972\n28248 70285\n34669 57508\n5935 85980\n2941 91090\n58712 76696\n29421 34309\n52396 60088\n18911 64027\n43547 77925\n12645 19180\n49585 56379\n47211 81705\n58684 74969\n39713 60200\n23308 80854\n57237 69379\n76967 96475\n1983 66106\n45941 72936\n72542 92266\n92419 99569\n40709 53013\n62113 83626\n21608 73161\n13150 95038\n13233 23045\n60700 97767\n57956 64747\n85311 86323\n36389 98324\n36049 57462\n57221 62125\n46124 65301\n55444 83372\n43935 64802\n82872 97639\n22543 26044\n43059 96863\n27928 63589\n85468 93720\n17511 58383\n68662 94623\n21595 59819\n68979 77240\n66301 78824\n48030 84604\n86153 89426\n21595 28303\n77064 86539\n52245 64457\n13442 20084\n24079 48962\n22295 89489\n50584 82905\n57659 89955\n46623 54893\n236 44124\n70280 86152\n18447 90116\n6938 52183\n31251 94176\n16014 25904\n4827 35171\n19111 51133\n8269 75335\n38523 71799\n52147 52294\n2995 7860\n64039 70890\n10646 59766\n29716 55307\n50054 76530\n54548 74991\n10346 42848\n75890 98633\n35192 81570\n21297 77152\n45038 84583\n33579 80022\n9543 72153\n79592 85303\n10643 79379\n22093 23317\n7882 24145\n5450 52300\n35776 47302\n15910 20842\n23722 62050\n8277 94410\n68302 89587\n2698 99171\n51345 91047\n45182 81270\n55292 75630\n90212 99347\n80540 93645\n40696 84246\n36976 93640\n1128 17198\n61958 62269\n51746 55239\n22192 28973\n24742 31223\n15316 67550\n34437 52125\n22663 65023\n29433 99300\n22183 89219\n18206 29830\n44019 89393\n11547 77823\n89103 95629\n28100 42440\n12352 36477\n28431 56782\n14738 99964\n15359 26796\n24778 40419\n25052 65930\n8828 73487\n49660 49999\n10425 98682\n6054 76646\n31950 49236\n65156 70972\n30105 41247\n8524 95155\n5683 7053\n28049 79942\n75416 81775\n3907 91788\n48700 80162\n3683 66131\n65106 70413\n24895 44041\n6718 6935\n64477 70347\n57603 74860\n12940 80013\n17065 30460\n79004 95623\n25182 90897\n24726 40628\n69077 98576\n60379 96066\n9744 67818\n79334 82013\n66669 75565\n46703 58160\n19981 48831\n41556 80700\n74651 79381\n27698 99895\n25796 43367\n57710 94149\n45076 93426\n74508 80214\n4290 42026\n38373 41705\n44444 81910\n16637 82407\n27508 30570\n55624 61787\n62629 72850\n3453 60850\n6947 79915\n12631 90148\n63303 83616\n69584 87630\n47617 68559\n3693 35735\n24689 25898\n30832 54562\n21620 59668\n27540 96402\n6810 17960\n36465 62845\n50225 53283\n31641 64562\n80269 81942\n79199 85400\n22092 93665\n46025 80751\n48899 66379\n27262 66247\n52089 91010\n14124 23965\n19284 52698\n20004 62328\n25886 60828\n78137 86367\n73416 83888\n54480 68078\n33839 59932\n18175 63191\n16141 90029\n2639 45382\n50016 63543\n61455 90353\n51837 62930\n3466 55159\n53975 88490\n27387 97766\n24673 36505\n26618 97405\n67446 73708\n49040 83124\n69214 89884\n18665 92740\n84420 97796\n18923 91457\n7247 77620\n25922 75792\n21579 93583\n23759 68218\n38342 74738\n59560 89789\n547 64372\n37010 92016\n32492 78762\n11600 21830\n5649 25448\n44821 79714\n32858 53536\n7336 61038\n18630 26614\n62842 75727\n16529 82554\n5612 7265\n20625 88236\n2771 30804\n11199 67383\n20915 52708\n32278 83610\n3210 87703\n27185 97141\n61689 78810\n13639 23450\n64837 95209\n24189 50867\n65236 68815\n31790 53101\n7361 12675\n11831 38172\n23198 87252\n52960 68850\n18364 65441\n37838 43369\n14402 64031\n41580 66865\n27687 73698\n43462 69912\n3122 54363\n29489 91438\n31450 43427\n23373 46853\n14666 49678\n14540 93029\n82251 85904\n37758 87796\n88090 93677\n7285 61608\n84957 97844\n53346 62464\n36206 68179\n20348 51661\n35248 95788\n13717 20804\n45761 71170\n19925 92951\n5803 26235\n54837 77181\n24665 62114\n56154 92219\n65519 68294\n53473 70068\n742 73792\n24649 48974\n41554 64088\n14305 38526\n630 5283\n20562 55285\n7423 17585\n27959 53631\n19419 63355\n10566 66473\n4610 25926\n27264 27769\n12693 98703\n685 76606\n36460 72077\n45467 53352\n92871 97290\n19572 41269\n24020 65228\n26218 81222\n4159 36572\n79036 94332\n7742 24553\n51417 70708\n90093 95048\n14747 66227\n20139 33629\n2993 47080\n40748 43022\n56592 80741\n27683 70683\n63461 91256\n1303 45524\n47929 53556\n35425 63301\n31896 58298\n30429 81201\n20608 23223\n47342 68406\n29769 59317\n16669 52330\n8170 20109\n10856 66275\n8330 66356\n43389 84915\n49432 95231\n58957 81724\n7939 80793\n64820 71416\n22046 60126\n51608 97842\n20259 69082\n76954 89765\n81168 99445\n56671 86513\n57712 59712\n12925 55092\n70609 74284\n60940 98555\n38663 95552\n47390 62470\n20476 81490\n48903 56789\n44515 72116\n12356 99063\n53642 69682\n31071 56764\n16465 87748\n42537 48032\n81243 83623\n35869 86181\n63334 78725\n5388 13665\n77756 97415\n37683 67596\n66562 97801\n71447 78951\n15159 68352\n53312 71906\n7668 49002\n56194 80521\n18309 25999\n42685 72494\n40355 98862\n27509 76821\n16338 94876\n15773 95818\n23766 42391\n37909 93390\n41020 90300\n45999 72288\n20760 67892\n58834 82785\n77234 88443\n21049 49204\n28192 54759\n57205 97148\n71797 93079\n4681 29807\n35936 52443\n47967 84252\n56886 66513\n72353 88840\n7211 57989\n18063 86345\n4634 96619\n37412 65542\n24984 73268\n10362 18385\n26594 91797\n66765 94897\n4320 52344\n18673 79972\n19251 99103\n17132 81602\n12385 57677\n6033 60584\n1807 13694\n30418 68007\n58916 69636\n59220 75304\n17771 20698\n9564 49582\n62992 83839\n17298 48666\n13849 58918\n22946 99013\n87126 96307\n20714 47620\n88606 96984\n33633 82760\n50552 91888\n1500 28392\n32277 71454\n9794 80292\n33109 76485\n25070 29997\n28987 84857\n61018 88752\n66501 71433\n39517 46308\n11690 82540\n25540 70025\n78973 99796\n4809 66282\n60011 74213\n49725 58643\n66123 88429\n33650 39428\n44869 47500\n518 79607\n10790 52135\n8874 11416\n64154 71695\n46073 84348\n13379 29605\n28024 40832\n86827 96505\n64112 93378\n7938 77938\n12716 32787\n14748 21909\n70717 98292\n3789 70983\n15014 98303\n75608 83525\n61305 78696\n50890 83724\n11897 30082\n15255 81520\n17431 73879\n3054 63468\n43194 56844\n20399 95837\n41231 60464\n62178 84138\n66574 95701\n39419 86379\n9627 47782\n37890 56187\n35330 83878\n48891 94674\n36017 84112\n52174 63762\n45568 84610\n242 6141\n10717 11982\n69184 98508\n23826 92754\n11203 34921\n43025 61779\n39123 96558\n26105 31937\n49693 81956\n7716 13788\n25436 26858\n73168 73941\n1549 7025\n18078 61929\n18991 27083\n5773 53617\n31854 87666\n82072 89939\n5066 90916\n13612 93464\n2850 14973\n30714 98268\n60413 79306\n51992 84871\n73081 78639\n1875 47383\n13110 90116\n10623 90527\n93173 94790\n16221 24415\n54905 75371\n59155 95029\n37933 54273\n30097 47084\n6612 74264\n10248 52909\n45155 68354\n78047 89270\n23868 98263\n1354 54148\n21981 68151\n16995 29004\n26410 44563\n28534 90547\n52445 93311\n17507 42822\n69476 80545\n55985 75568\n6623 91521\n71737 82354\n5570 84580\n7589 17719\n38103 62652\n52398 91446\n42826 66901\n60326 74521\n11910 84078\n3163 85736\n74189 96878\n37414 46903\n21912 39696\n11803 46481\n28449 72765\n19457 57023\n18603 44448\n48235 94933\n13506 26444\n52880 64474\n26649 47062\n47081 80953\n68009 90963\n30349 32574\n16222 92104\n47278 49698\n17701 75807\n65722 98422\n46557 70082\n5244 59438\n60014 85098\n61272 91533\n69018 94102\n82065 92715\n14027 34863\n38755 40934\n59380 86084\n34314 43144\n58540 91376\n65555 82266\n38549 62796\n28604 82534\n47477 55300\n29902 71414\n45962 58278\n8807 82414\n55095 77919\n12120 76505\n52345 83281\n34561 90280\n2206 95034\n5794 34520\n65854 95217\n58835 86208\n3759 13106\n21223 56864\n20139 62241\n37205 98916\n60308 79069\n80299 98108\n10341 78765\n63143 64097\n20862 34662\n6782 21565\n34690 79451\n74352 95552\n29766 39627\n68265 96584\n1725 33717\n19639 73791\n47720 67688\n3391 32347\n12824 54162\n48750 74647\n75994 98768\n72827 87033\n11982 24641\n33426 57079\n48435 53987\n45157 73187\n1986 90026\n51124 52688\n51967 75414\n14497 34266\n76617 91683\n16468 53857\n51241 57987\n32640 75724\n18369 83090\n11042 69871\n29686 79966\n14470 31309\n39913 98712\n47283 90643\n16948 70375\n11107 25742\n30962 67739\n14292 47207\n3706 94898\n73312 75466\n57794 68534\n31279 42443\n9673 12579\n60441 82277\n18489 78965\n3813 83710\n30385 71482\n18386 37901\n52916 77933\n7852 69909\n5895 61364\n51487 74226\n48795 76606\n1315 13352\n32189 89870\n74922 89052\n60107 74091\n10670 62546\n40974 87551\n39847 82075\n77929 98980\n26471 47582\n6932 77401\n53431 87283\n15085 36856\n79499 93990\n54232 54570\n28875 98182\n36261 57151\n20643 80347\n25969 91369\n78886 94488\n18309 88608\n7089 20544\n52871 94734\n8358 88055\n35488 63745\n24569 57077\n4968 59003\n3298 51395\n71375 93955\n14 99239\n5898 96692\n10785 96642\n88573 97524\n54034 82946\n27428 82000\n8327 75643\n52679 93975\n3172 16530\n49802 94868\n60357 73031\n35858 91038\n46638 65233\n21353 72639\n49947 89260\n14823 85750\n35937 91434\n20848 72128\n10782 76200\n25396 55440\n62094 78108\n2643 29853\n53543 88499\n8594 91738\n44853 94865\n25263 70077\n37238 89103\n8625 76585\n9504 71780\n10207 87632\n48244 81949\n37545 72179\n61309 81382\n3514 19820\n15377 61542\n27940 46567\n21666 83001\n48723 85210\n25956 28526\n55216 67457\n10871 78340\n40130 63095\n26354 69197\n9286 41773\n21780 50268\n69068 74807\n5416 8800\n31986 95088\n28475 93288\n81136 99106\n12879 69033\n24769 36166\n28133 77565\n9325 25898\n23493 60002\n786 39807\n33610 38181\n245 10363\n33585 98874\n42466 76979\n72936 90929\n75848 94326\n16954 84689\n19185 41770\n34148 96979\n40209 83420\n26256 56271\n39802 64922\n37536 41685\n10158 64849\n3317 68754\n33456 69849\n73370 75623\n73676 80589\n68487 84823\n17471 60728\n7672 67600\n38472 58560\n18984 44240\n13200 40655\n1437 32718\n77903 82469\n12657 29763\n26765 43506\n32742 41598\n53680 86906\n570 82198\n27030 43112\n60000 84070\n3893 90829\n70040 92361\n76820 96001\n59233 76188\n64698 76014\n15547 25651\n1578 23908\n12258 66977\n5015 34511\n12216 69685\n12978 60499\n77947 80768\n28911 55416\n26329 53156\n86320 89988\n43473 98033\n77534 79618\n28451 72734\n19503 36499\n35019 80453\n24307 31697\n79684 82877\n17492 22454\n23345 98937\n77842 93326\n10265 46883\n2240 73609\n75120 95084\n3337 68788\n49353 63215\n61712 72356\n34760 34791\n31782 69579\n66803 76094\n44108 50287\n37234 54481\n16854 29679\n54533 81203\n51 35246\n23881 24173\n27156 72883\n27948 33127\n1949 93985\n43472 96903\n5786 42754\n5914 48354\n9277 74018\n12862 92231\n16206 42557\n16631 20084\n19393 54781\n63023 91354\n26964 29540\n40554 57032\n6017 13690\n35207 91346\n25706 59511\n58004 92504\n65972 86964\n10494 20385\n16614 74588\n41826 92685\n24758 51215\n14396 74106\n39825 60407\n7752 22078\n63021 73965\n25730 74749\n63039 86570\n20319 97613\n36604 45378\n18442 26796\n12168 88603\n61837 66190\n28895 63259\n3749 63897\n35911 82513\n43038 57247\n86365 87795\n2852 26341\n63304 99211\n33567 58358\n43784 56490\n88967 97294\n8216 58426\n15713 59718\n20498 74689\n79982 83715\n68085 69827\n16628 53185\n57348 67478\n68164 81323\n56402 98827\n29273 77024\n674 67576\n5594 13122\n9730 31952\n32486 62479\n44677 86060\n27416 91510\n59077 93716\n15627 47708\n50183 80576\n94485 95161\n45883 50225\n17829 39977\n5666 43724\n42578 81579\n66000 73635\n8671 95836\n46776 74629\n38134 60364\n78406 93242\n41806 67552\n14811 49876\n3203 71811\n5582 30899\n36065 67580\n35124 43988\n61929 93451\n59443 66292\n1486 27233\n10937 52926\n35134 60576\n57307 72784\n3101 75276\n16042 20604\n27345 81297\n27501 54010\n44908 51931\n37500 84993\n27043 57911\n23705 67185\n20557 41121\n26581 82750\n18699 24609\n43550 79976\n12278 81607\n55348 60183\n24448 54333\n12704 88846\n14410 70305\n82550 97515\n15963 43485\n5102 57006\n22221 54895\n29664 66849\n2333 73595\n33498 93176\n65520 87350\n24161 79701\n21592 91176\n631 16366\n39900 87759\n2728 87327\n5802 26380\n1480 38446\n12831 66274\n21718 75625\n71079 78601\n58776 77119\n13879 48058\n22316 73528\n8010 52699\n36681 54045\n23036 39377\n54826 60109\n19348 41912\n1828 61445\n34060 66620\n24614 26907\n49052 79897\n20403 74940\n45024 73628\n59821 62767\n27740 42102\n34789 89382\n9258 68435\n10407 44579\n2136 20043\n49426 77944\n2698 72555\n24144 69334\n33686 58825\n24952 77844\n38342 72515\n7598 10991\n77294 96179\n58517 88747\n70102 73417\n29364 69732\n48516 64637\n53316 69083\n16264 62300\n36958 81631\n23080 29366\n91157 91951\n9360 82499\n19106 88905\n40354 44832\n6376 44821\n48514 98650\n11988 16080\n14270 15941\n26660 94438\n23075 44561\n74948 90484\n47321 54029\n88562 95773\n25627 64973\n15642 77769\n91966 96459\n75034 79572\n26409 90219\n58144 73805\n3541 58492\n63292 88722\n16984 55120\n38586 74308\n48225 53132\n33316 81756\n4414 70271\n60759 68021\n26126 39921\n85094 95752\n37190 96634\n40602 69542\n78580 93522\n18261 19054\n7506 35206\n14833 99425\n15115 88396\n39140 82305\n36704 58974\n45545 82812\n31549 53491\n6120 95732\n1524 96526\n29339 95073\n21202 86908\n40305 99178\n80128 83239\n19280 79260\n21500 95459\n18181 82129\n2581 32587\n1150 92671\n80112 93612\n70269 81711\n80670 84344\n95598 97842\n66859 68562\n55036 74423\n37588 59891\n1722 71846\n43027 55980\n27953 54150\n9123 98066\n58039 89339\n6572 28205\n42890 79684\n768 11406\n8821 70951\n45106 85643\n5273 57202\n56196 58619\n9988 22172\n27170 86914\n13295 75020\n13629 96018\n10242 56234\n38350 38855\n72635 93041\n34100 48001\n34461 36907\n36248 74543\n26921 38443\n30227 78622\n59236 85844\n45626 51301\n7593 10475\n63171 90133\n16544 63878\n14189 17427\n81358 93667\n80175 95123\n52318 82517\n24721 73159\n11350 15979\n11387 26227\n50845 88751\n11373 51185\n36141 42822\n45457 48778\n16642 97716\n48871 77633\n24682 84060\n12448 95060\n18510 54930\n56764 60908\n83817 97194\n49355 64179\n53947 63774\n24095 33700\n33627 58457\n39932 62458\n45902 64714\n10687 88788\n44723 71801\n34239 95256\n26522 65967\n2731 58347\n60173 77220\n19199 95867\n95317 98334\n20181 33950\n19594 48739\n39412 52578\n67519 73206\n40218 97619\n15598 66785\n27858 93442\n3877 30593\n7306 75818\n9562 30648\n26171 26223\n85031 86509\n16419 48937\n24395 68253\n33085 72777\n39268 95132\n25186 66011\n35970 49035\n15198 51138\n74879 99516\n13862 64786\n2618 10491\n8635 84122\n12177 45620\n26640 76175\n33108 74224\n19106 68837\n40889 43066\n15389 66583\n33345 86069\n2043 68752\n64054 73155\n64071 70648\n27377 40224\n38368 47480\n20640 93007\n57829 93398\n79592 82291\n44756 99001\n63082 65774\n22565 63710\n39628 53074\n18442 44946\n3871 75147\n16521 27662\n10299 29067\n11293 92940\n5152 16757\n32436 73130\n56715 70955\n15683 81297\n1970 15126\n10115 33974\n20166 73817\n5461 70814\n6817 82654\n57584 86123\n35872 79213\n63586 77416\n24981 46167\n22845 49403\n19441 86019\n30237 36044\n22389 40390\n4494 97815\n13733 87438\n30234 51533\n8097 45379\n27713 48379\n32052 91634\n11430 26688\n2803 72168\n46932 49891\n65664 92389\n20095 44586\n30094 92527\n58726 80155\n66773 88398\n31026 94819\n42623 82572\n47552 48087\n14705 95804\n11563 52563\n54376 61033\n26104 36542\n15444 32669\n14454 87338\n16833 92527\n39604 42427\n12371 95761\n43285 74356\n11437 30408\n51128 78325\n50489 62246\n5136 97234\n23832 88324\n2535 56778\n9700 68679\n24054 76866\n47814 98342\n27305 83255\n48433 69636\n50067 98863\n6715 51096\n80481 86081\n14064 70636\n22829 29758\n84614 96836\n28634 74419\n50137 71225\n85940 93026\n27255 80691\n15945 36957\n77548 99044\n24431 39954\n20168 85464\n1353 61986\n6747 47725\n54148 74747\n1731 67220\n10791 88831\n13991 51088\n57915 98881\n17968 97670\n27295 98009\n19797 97268\n39009 45589\n37404 86725\n3984 65986\n35022 74099\n4000 24624\n32413 93999\n2711 17113\n34475 77932\n84181 87902\n40426 60569\n9903 24414\n23999 38644\n28878 95507\n35379 81458\n28442 39283\n20998 92387\n54367 99349\n5614 28481\n49058 63201\n18539 72961\n4275 73145\n26753 28308\n19753 45479\n22754 44508\n31726 79399\n48148 53982\n4022 51614\n43054 45342\n7201 17149\n52946 53578\n36489 41108\n36203 49515\n40428 78937\n60156 69532\n37187 91559\n71554 80742\n37885 99908\n6638 65855\n7342 98843\n23231 30797\n27241 51819\n69500 83419\n50503 58184\n31799 55124\n88992 99365\n46267 47721\n59175 74682\n1984 50727\n21678 68075\n27981 56631\n4178 14167\n12775 17796\n21592 21803\n91067 91851\n3568 46330\n57795 69383\n33076 65060\n21410 96023\n65074 81771\n57289 97133\n8314 92054\n24371 72730\n48688 66921\n21044 68754\n12221 21238\n3039 52564\n32569 62776\n41060 65315\n38285 49941\n16898 57382\n79494 80518\n68165 68437\n70719 90177\n19597 94639\n39378 82953\n25964 62188\n69023 92576\n20701 49014\n37536 73917\n12149 45647\n44435 56241\n24294 51245\n69136 79433\n24334 27254\n29415 35749\n39512 67219\n75848 92145\n24327 29763\n8460 61770\n16053 25898\n35981 55669\n7037 76374\n55331 64201\n35639 45588\n2872 5079\n57816 87322\n58565 78652\n12954 20506\n33822 88623\n7090 44911\n23985 66252\n66944 90331\n10360 48867\n1191 92096\n55200 61485\n10195 96982\n82467 99836\n1462 13091\n65657 68549\n336 66510\n10687 51240\n93135 97905\n6642 47286\n12655 86693\n4405 96775\n50243 96940\n4004 13198\n57756 80137\n49510 54101\n920 31913\n18213 76353\n51038 65607\n8103 11844\n8300 60349\n29812 46768\n11100 54217\n55231 79945\n49084 62801\n11016 63140\n6196 41127\n3457 41334\n50943 73615\n43109 60737\n23206 98941\n78672 82379\n87182 87986\n61162 65643\n21827 79395\n28442 39902\n53180 80234\n4453 19765\n42635 77963\n67793 71214\n39397 99956\n1285 23915\n26829 30056\n70846 93103\n85648 88833\n51335 94020\n15978 22661\n17136 49983\n11467 93072\n18311 20808\n12143 80618\n14456 73282\n10055 99876\n32494 40031\n48920 71267\n36684 68529\n42382 96322\n48874 91854\n46099 71707\n52231 63256\n22408 85665\n53785 70699\n30341 80120\n6367 17289\n14385 49265\n49079 75988\n58460 79358\n15747 52704\n12002 26888\n73698 87822\n3833 65472\n53629 63965\n6222 9321\n22251 35008\n31626 95887\n64732 93686\n12344 65833\n15727 70476\n17611 80565\n69940 90803\n39212 42612\n31040 60081\n1851 26297\n13264 68269\n9961 85248\n16734 17060\n54601 80497\n30341 41749\n41273 57380\n60984 64543\n67780 83672\n28304 71812\n45231 52179\n44804 91465\n15333 85126\n40446 43812\n53396 96085\n1831 23584\n18492 92182\n39946 76288\n12133 89547\n85701 85898\n16603 78499\n27936 28991\n60624 87111\n57733 72313\n19556 41235\n54578 82127\n47177 68311\n75961 92055\n23057 33366\n2255 2279\n415 78764\n17653 81282\n46850 84272\n68611 73021\n19666 87908\n18173 36480\n18122 63378\n49886 62434\n4013 73550\n12429 98917\n11773 95413\n40262 49569\n77007 97631\n79966 96853\n9964 10759\n15583 98274\n80838 93117\n31865 72848\n29653 48796\n11646 35853\n32394 79664\n41473 67464\n46803 61585\n40819 41101\n68810 72706\n34540 58128\n27864 28542\n10298 15086\n76435 77095\n35384 71254\n25674 98779\n36125 47987\n6272 28239\n6705 8024\n5367 5782\n43076 51001\n85924 94376\n26956 78183\n30568 48750\n14509 65338\n26061 62633\n77926 82743\n24960 91776\n28694 66815\n14951 26096\n31724 31882\n12175 64937\n11347 84750\n78847 93111\n63618 96397\n73727 83946\n25398 47108\n57823 93236\n7224 50972\n27015 42588\n10788 66817\n43768 80851\n7676 81540\n17316 34975\n2166 71729\n71190 78875\n27683 95694\n20356 51090\n39465 47114\n37053 83477\n13143 86285\n48113 52111\n82951 87293\n6583 97167\n6490 32129\n63065 81503\n22654 64159\n48263 95676\n30312 45049\n47123 48734\n1140 76664\n18233 37770\n34373 64363\n30641 51180\n69335 83990\n4560 96124\n6119 85946\n38879 74601\n7165 10978\n6664 15582\n27106 79871\n50703 91619\n76664 89096\n5921 12832\n9448 45156\n26881 77865\n50807 85923\n61924 98364\n2079 12685\n17094 30725\n30014 48758\n75082 80339\n43225 43340\n6490 22189\n433 53360\n48264 80385\n53397 54105\n51690 70465\n27196 98552\n12619 65142\n10115 72306\n17654 56885\n20610 72754\n4022 72500\n22532 37436\n13545 93419\n79169 92293\n74985 78871\n41560 47189\n37232 72552\n11937 92004\n9196 67806\n37855 79383\n42396 64371\n10221 11388\n43081 98341\n62186 86532\n25354 97565\n30551 70176\n21947 29975\n66556 68541\n49309 56234\n93110 96995\n51962 89427\n44122 62585\n3776 15459\n78742 95460\n40387 66745\n10539 34286\n68824 99079\n16939 30358\n7758 56377\n57717 78604\n64835 73059\n57661 87529\n46240 51002\n12485 57298\n33008 65376\n8628 67465\n25964 92686\n6161 45840\n41064 62043\n51684 60086\n34049 86472\n25582 49520\n37752 44943\n51386 89071\n5689 81893\n65456 67054\n18338 45935\n32593 49636\n40766 87953\n19370 54698\n42008 85048\n15268 47799\n57546 79730\n49728 91769\n44939 64677\n26955 45603\n27393 94456\n802 77599\n11218 56833\n18363 58542\n4384 58147\n95330 95743\n60155 60618\n22180 53404\n24785 72528\n57369 88048\n74966 88490\n51189 73198\n20595 47431\n92800 93224\n17445 68511\n2183 14702\n17931 23074\n43367 88741\n28850 78046\n31810 83742\n38020 49318\n211 49046\n29266 71839\n35156 93442\n36587 91894\n27186 32266\n13190 59227\n74143 97537\n8119 30607\n27830 70215\n69567 70446\n27922 41531\n10188 13438\n51818 63612\n62269 85350\n96276 98902\n57432 64090\n10074 12256\n2723 54912\n18036 94792\n63501 68668\n2359 57031\n31037 38659\n48166 55438\n24706 76862\n20219 62488\n19019 20587\n30041 67831\n2019 58791\n12155 86196\n15506 32905\n29891 63571\n88414 89517\n25109 68284\n76688 77307\n57896 85924\n31123 71378\n65247 84860\n48933 80251\n4297 39287\n42952 90197\n31230 43286\n48606 76991\n11346 79973\n63388 91336\n30544 32812\n31468 55569\n25618 87484\n7578 54587\n1076 85936\n34345 49297\n21687 83176\n9021 76389\n9986 50508\n10878 63285\n47691 50660\n4605 29347\n56875 80969\n26976 79081\n67467 83424\n7470 88062\n1196 27738\n8420 29728\n16067 23712\n8676 95126\n61582 68541\n5962 27633\n76130 92793\n4068 80856\n1255 71507\n35218 59910\n33863 47779\n85153 89575\n934 35905\n870 10238\n8192 34242\n16845 41100\n71426 86490\n21332 96135\n32720 41874\n8389 90733\n45988 60879\n20751 89456\n26485 31496\n12369 27099\n45496 95133\n31852 36669\n31968 46034\n22888 97982\n22950 66394\n7588 55416\n23458 37601\n10514 79253\n2773 28953\n6139 72169\n21057 95636\n17233 93917\n73384 81137\n55157 62486\n14764 43536\n20901 52965\n7497 35544\n65780 85614\n49827 89294\n45640 61761\n28544 71435\n72790 75393\n37792 58388\n21715 32782\n2694 38941\n16438 41984\n13090 65291\n17895 43998\n82015 86775\n31377 99323\n51790 90307\n46890 55756\n9536 22253\n4128 95415\n23592 71224\n57146 85734\n61647 97899\n20397 65215\n41271 63939\n14014 31082\n6817 46058\n5564 20350\n73293 78274\n55445 76581\n46619 73002\n38798 42952\n42726 95801\n31100 36781\n62146 82958\n53598 94596\n42575 46748\n43076 98700\n19721 62567\n50398 69144\n39111 84471\n22107 92648\n18969 65756\n38589 93905\n18374 98367\n11831 88510\n32074 50278\n31753 65377\n2421 86960\n87599 98658\n59055 65887\n29066 45914\n48319 58309\n33025 81633\n86062 90883\n50375 97262\n5028 53479\n64834 85164\n5398 16832\n16860 59468\n18057 31984\n87631 98551\n10576 23165\n54758 58787\n33089 58420\n50974 89015\n71097 74651\n489 95884\n17993 31196\n11147 58459\n2821 57247\n13303 19425\n60903 74295\n21291 62270\n27627 28934\n95549 97334\n61853 69688\n91326 96383\n1303 70573\n89345 97280\n2504 16863\n48677 50820\n1280 34769\n47216 95371\n21115 83785\n26357 32062\n27589 98297\n21102 89900\n26416 70939\n41175 54453\n50582 98882\n16568 29151\n83218 84638\n23331 93388\n38961 55137\n51736 64386\n35878 68354\n53405 87085\n20495 78559\n62717 72322\n28780 62302\n57050 91708\n18456 90161\n92156 98458\n49519 87895\n33803 63245\n28319 76501\n20826 32171\n25622 98149\n22499 41110\n39083 96085\n7541 80129\n30314 79466\n5550 80211\n64518 88994\n37568 67954\n80412 98141\n39827 41513\n20106 23027\n13202 31734\n45747 53915\n39755 88479\n17764 41608\n75479 88650\n35212 89585\n54232 97283\n17995 41245\n35398 85925\n401 87117\n25994 49401\n8116 74853\n47523 48406\n34448 78178\n7050 73296\n80426 99345\n9713 74596\n60502 66155\n47319 69155\n66253 67204\n19181 48080\n30397 42609\n31954 49262\n47169 73091\n52477 80922\n22706 81070\n6783 44768\n15924 36490\n22426 82221\n66256 66715\n3833 96261\n5041 44658\n17627 73716\n52801 58021\n64183 92170\n48364 73845\n49404 79174\n29386 39308\n20261 91202\n28421 60150\n6165 10256\n10848 55065\n11025 58683\n4132 78799\n11338 99366\n38533 83620\n56720 64964\n7932 42726\n19532 40336\n32814 59838\n9847 70151\n61185 89759\n59609 77389\n13047 73773\n11767 80130\n74155 81684\n6070 23198\n66866 79807\n56299 68303\n54637 67475\n50138 52327\n68550 73086\n53072 59244\n19997 36280\n65508 96605\n14188 60066\n59389 85676\n51919 79749\n24695 32323\n13497 41930\n7967 92086\n34273 88381\n22865 72561\n5006 84482\n59750 72163\n15390 31175\n83437 85963\n25480 35375\n31976 98557\n2791 10993\n23080 83349\n35801 82764\n40979 95418\n3185 73051\n31787 83508\n38348 77743\n50209 73590\n36733 67429\n16138 32049\n39959 81078\n70937 79063\n30331 54369\n64260 93434\n76318 78112\n19233 28646\n22799 93373\n6739 77567\n37316 83011\n11415 53489\n30896 40494\n40020 53343\n42777 46081\n71601 90535\n22167 39883\n12603 20635\n11862 75478\n14486 17323\n80729 84000\n14071 30349\n6733 59677\n18808 50998\n8010 75300\n71131 82995\n48212 54681\n16935 59252\n34492 44423\n28495 91259\n17971 44683\n13706 56273\n44823 71389\n17338 55067\n1768 92894\n38314 48358\n7467 14401\n13629 50404\n54675 78742\n58426 70794\n22600 87433\n47237 70042\n22026 38014\n60258 81935\n37290 81768\n49197 62830\n30154 54125\n18445 34749\n57543 77669\n63403 72245\n54555 76583\n10660 67751\n17971 74468\n4817 32132\n86728 92687\n23463 35439\n26360 90067\n7349 81931\n40353 93781\n61576 77367\n12407 60038\n11196 30831\n1331 29214\n61943 85840\n13397 84228\n34385 54810\n69229 82053\n40126 58199\n67514 71342\n7618 77536\n37338 92739\n23035 90686\n72719 94818\n994 97529\n840 7981\n20807 89070\n6470 98777\n12496 19724\n1673 34405\n66082 90211\n8387 75581\n38047 98233\n60524 74272\n24557 92499\n80236 90088\n10686 45482\n17629 26055\n16555 62537\n55623 63982\n8662 14111\n1907 57369\n24831 31153\n33085 96720\n52082 55676\n12637 68681\n46185 82048\n31847 70113\n43150 59925\n64953 79652\n3802 59301\n13917 14716\n73636 84199\n45922 84556\n8512 13118\n10651 27820\n35496 50516\n13256 61710\n19025 68347\n71771 96651\n31035 70324\n11980 47483\n62941 80957\n5109 57222\n71278 77642\n62993 85028\n15671 89437\n23510 71535\n18651 25436\n25748 97871\n75377 84304\n12919 55825\n78544 84751\n44711 69494\n34523 86698\n17925 27159\n12742 15726\n19843 86524\n18820 37180\n7920 45070\n51986 78540\n10444 58890\n58463 76461\n61405 63445\n21654 98292\n18016 61572\n32645 53180\n56723 91292\n53393 80266\n11266 16755\n78428 87604\n58581 89194\n25887 45305\n17496 25009\n41489 57253\n17359 51431\n3888 81270\n60470 88804\n60477 69352\n8177 20536\n65542 97972\n5846 73688\n30053 37585\n2725 64576\n22112 69751\n7045 95486\n60892 87133\n45134 49680\n23344 52560\n42128 44650\n24437 60880\n26590 67917\n5122 66016\n12295 64932\n7804 62670\n20538 50700\n44710 50698\n6028 55080\n54274 63206\n49101 95939\n15232 68672\n30076 91611\n7172 43010\n32777 97623\n31260 85412\n515 77134\n23408 79889\n7419 92101\n83318 88404\n57717 74856\n52989 75377\n17611 40885\n26849 38986\n3066 74348\n54764 56490\n66074 95594\n30891 42798\n47656 94108\n31804 86688\n33617 86648\n38036 73569\n50873 94982\n41156 48792\n10397 33105\n61703 72836\n38772 93578\n52204 70074\n3155 82181\n59091 71014\n6227 95680\n10288 93262\n55883 95965\n20315 30556\n22759 96901\n19921 62234\n44038 94234\n7692 67402\n20673 47174\n24167 84446\n48521 75694\n11503 13626\n60870 82271\n3227 11508\n13057 30339\n49274 65351\n59026 64637\n44355 76425\n21017 66611\n33177 41847\n16354 26446\n27805 99836\n7678 24078\n36689 58353\n36587 85766\n52753 68617\n12907 71680\n16643 55567\n29494 91313\n11895 26068\n20413 35093\n7307 20161\n19009 29676\n6637 49529\n64349 80991\n3288 11357\n18709 42664\n56522 64207\n45070 62548\n43195 67568\n15883 48122\n50110 54693\n15059 68929\n71852 91791\n30472 73748\n53768 92550\n36164 67703\n8701 25142\n7615 71575\n28003 42241\n24260 91861\n57437 98957\n35910 52615\n72159 85029\n35552 51227\n77981 93876\n64193 72265\n36538 46750\n28375 40545\n14111 61258\n33944 72867\n639 85544\n24007 51586\n33024 47912\n8163 33104\n35798 78407\n25273 58439\n42547 69189\n3145 24641\n18811 91476\n19883 91325\n21546 33384\n26383 46609\n19246 41694\n36452 51912\n40280 43674\n15320 18773\n20454 65453\n1982 49381\n9917 46508\n35529 52986\n83889 90269\n31326 40199\n67974 78117\n59975 93340\n21826 87658\n28074 78943\n38229 43265\n36506 82266\n50467 73239\n55222 84371\n9815 69379\n1037 74691\n58693 59675\n17736 50102\n6187 53903\n24008 36585\n31822 57004\n49168 59108\n29756 38826\n8996 81366\n35397 79664\n19397 62306\n69329 77481\n5639 17316\n38379 75557\n48757 78248\n9393 24787\n14977 45682\n30503 46453\n8665 78329\n62060 63017\n24088 69036\n49831 94975\n90911 92349\n6075 73413\n62062 88734\n40642 95031\n45019 78917\n5231 11332\n21056 97476\n19617 86609\n36296 57815\n16207 34030\n8084 24981\n68672 89531\n22015 64899\n88698 98463\n573 20355\n24636 32511\n5052 19390\n11382 49364\n44671 49203\n12934 73373\n64272 78499\n39299 85667\n10957 98431\n13105 44627\n2896 39699\n858 55766\n3015 51915\n17186 65277\n31669 38245\n1977 66479\n43695 57239\n48719 55170\n33783 46884\n1039 89023\n41354 69138\n75226 90206\n12080 84117\n47462 61342\n40660 46821\n12850 81210\n15649 42557\n72033 80345\n42067 68421\n21658 72519\n80946 92632\n28284 82365\n23278 80216\n1482 93217\n22170 59374\n46004 73336\n19805 22725\n26197 64957\n19065 74368\n42790 71001\n9247 18476\n56735 65613\n23383 32950\n14347 46068\n19008 32655\n44375 56554\n77999 81045\n69739 84466\n21573 32942\n62723 79231\n45745 70421\n13756 46943\n86385 89331\n20516 99691\n53778 98480\n16780 50395\n64411 97439\n33832 74649\n2471 62695\n72743 77044\n28577 97328\n57963 73957\n3007 70845\n16689 58247\n29265 83632\n22876 76983\n86873 92964\n30635 97537\n2064 79434\n9485 71588\n25494 76807\n10236 94750\n67305 89061\n21455 72389\n56253 81323\n3720 38604\n74072 83816\n16235 59816\n63267 86010\n8424 43613\n11759 58991\n15608 32287\n30534 68682\n31510 70080\n71608 98962\n75751 81326\n15503 18305\n43071 73897\n6324 75702\n7842 31545\n8399 8437\n62835 71064\n78856 93604\n36507 60664\n57322 70779\n72803 85161\n77570 83000\n38333 84888\n73033 81932\n23645 97125\n2240 34438\n17741 88965\n19760 37280\n38539 68939\n49960 94926\n17715 32861\n1035 27248\n1083 45015\n12870 88438\n11118 80121\n10160 19904\n5627 8081\n7879 29288\n76297 90195\n90157 93025\n76380 87403\n38914 93143\n32124 76611\n23787 78194\n9294 15528\n12746 17334\n56036 59306\n29400 92001\n40895 69507\n46804 92255\n56996 96008\n13399 94323\n5911 52287\n3917 78280\n9213 96627\n83495 93326\n80362 91620\n3063 34579\n5393 31880\n57667 85602\n13563 34903\n19837 86212\n45377 62330\n88883 89404\n74598 84732\n15083 36853\n43313 86827\n53258 54503\n24165 41623\n15839 69843\n26231 31485\n11175 69206\n8272 89041\n3118 73226\n7805 66847\n63976 82473\n39653 55633\n1822 52517\n73805 87406\n61836 97693\n17036 43957\n70136 70776\n35225 97695\n70893 74631\n43769 94369\n42493 54643\n3330 13332\n12796 43335\n19613 60035\n65760 66076\n66526 81449\n11230 59968\n27803 55917\n42611 57482\n58348 91168\n10953 85455\n43698 78747\n605 84275\n79571 97214\n59380 78426\n42602 44272\n20714 20810\n84709 91833\n17878 96444\n20004 30569\n46274 64840\n37871 46624\n15575 73641\n266 70323\n252 37266\n21540 25315\n9220 56658\n16434 61215\n24368 59938\n69110 82991\n51013 76825\n47177 58702\n24277 64741\n22936 30747\n48126 90665\n60011 85430\n20816 60577\n72187 78760\n3007 9313\n72768 87217\n67057 74616\n31587 78082\n67171 99131\n54134 55804\n32994 37046\n29228 54173\n23237 57852\n9797 26308\n3469 59328\n15679 35326\n12932 69473\n38748 58569\n74256 87489\n12805 78736\n57356 96463\n45736 91791\n153 76998\n56238 90150\n5485 51475\n21781 96599\n51008 83034\n76791 96904\n16526 18604\n3776 7247\n31288 41736\n42557 64662\n56248 64802\n3166 26590\n36649 83791\n53128 71458\n15365 30756\n16988 69987\n58570 85199\n50140 74934\n2120 7984\n59594 95158\n51948 72265\n16961 36815\n7941 27154\n2747 83932\n84561 91338\n36006 46434\n1085 79285\n10741 25521\n26341 27410\n23630 27284\n17720 52619\n31505 53445\n7875 96749\n24422 30652\n1700 4344\n45845 80610\n1391 40833\n76896 85049\n27727 31811\n13038 94291\n6523 52242\n9089 51909\n88001 96097\n15955 49596\n53659 88113\n28352 98754\n4497 91586\n12400 39031\n4846 17381\n1003 99190\n61351 79592\n6006 25890\n63853 65774\n94543 95650\n59695 91015\n71763 89474\n33041 43796\n17638 61585\n15857 63024\n13331 40403\n19187 33473\n35168 59174\n62927 78298\n12965 62486\n14981 88803\n7164 67825\n7411 35644\n11300 52651\n30422 53288\n62176 69677\n34286 39487\n40226 83205\n17445 42007\n66788 92493\n73752 90220\n47357 48221\n19209 59221\n23944 61588\n50321 81090\n36468 76377\n30509 47745\n6904 93820\n46401 86074\n1674 87234\n60904 82091\n14400 21653\n43271 62425\n8421 12424\n77 6599\n34845 41296\n70401 80167\n31809 98942\n8720 95510\n21003 73093\n8596 60636\n45745 96896\n50186 74033\n9622 99225\n68473 76759\n25546 79113\n8107 17220\n7874 78967\n50616 74835\n6164 73860\n17154 84549\n44104 80426\n1988 60617\n18983 54320\n71490 72343\n47630 81728\n30398 46919\n48304 97724\n44251 51282\n28494 81059\n28308 91508\n27677 64898\n74629 75628\n70174 93756\n314 94335\n26376 46403\n57634 91341\n63016 68425\n7359 83468\n17070 18072\n6052 60200\n745 1537\n44069 95097\n16559 90712\n28225 88093\n17004 19583\n6270 28334\n19357 53195\n2611 14418\n18519 70340\n56444 70824\n82207 95975\n9009 41330\n14123 51276\n63513 99570\n25353 99756\n42719 59224\n49966 93553\n18474 61641\n12168 54732\n5068 78225\n6978 95401\n33832 80223\n81913 89659\n1875 72257\n69375 77731\n1781 31469\n33290 68224\n30393 93001\n29928 35164\n94035 97071\n37342 39272\n19307 86447\n19412 85022\n48136 88269\n46699 56920\n91130 97059\n65684 76391\n11754 45026\n54324 62220\n15689 41752\n2690 51074\n45688 58008\n42191 49514\n49453 84389\n49376 63524\n58297 86720\n32054 89285\n1136 74811\n60774 84845\n17746 70727\n57303 65792\n24175 68709\n57885 95291\n43766 48181\n15992 48983\n28079 97034\n3944 71480\n4677 60719\n2654 26203\n4050 52658\n27360 52445\n305 32204\n28063 52962\n15622 19054\n36967 70507\n44427 66516\n11654 96337\n58527 63014\n47788 57602\n68385 79523\n4360 64109\n18054 58398\n53020 95167\n23893 65895\n30423 50233\n25012 75054\n19792 68805\n14078 67679\n887 76112\n23811 91293\n35501 91557\n48583 68831\n79145 93308\n26495 85984\n43553 90567\n16628 88522\n49090 64386\n10770 17590\n36502 82037\n27585 48859\n21079 49632\n89091 92255\n21827 74376\n46132 59015\n38092 87931\n22403 55626\n60121 94037\n12447 35859\n11217 69186\n46604 83835\n62324 92624\n79505 96266\n45255 88388\n11070 36590\n24261 74021\n35377 79399\n41796 60821\n1682 5634\n23089 42757\n19370 96822\n52365 60350\n3538 17283\n4259 64663\n29830 99319\n31791 50343\n29907 42225\n8828 18981\n86365 94859\n19511 93123\n3334 48386\n10769 63882\n11834 78937\n17499 29770\n86021 92174\n31150 34215\n71589 72448\n18731 88122\n7188 99529\n7000 33440\n3000 93643\n59232 97311\n32700 98057\n18784 26776\n44141 45526\n54902 96971\n54656 56485\n1197 1487\n4521 60948\n50055 73770\n10605 64140\n27579 94216\n27854 37052\n18278 48722\n190 1108\n46988 67722\n34946 47617\n1843 28953\n8268 33680\n4112 40916\n6935 94660\n76787 76843\n2429 93050\n77335 86845\n64882 76837\n22821 60224\n32607 40788\n14213 47449\n14223 24426\n59785 88494\n5364 55117\n84085 88921\n9774 43280\n53906 66792\n47680 65239\n17252 87481\n39086 79334\n37536 71199\n49591 99435\n57100 82112\n3110 16705\n14900 72060\n53052 71233\n56007 89469\n26544 28971\n20048 26508\n74709 79864\n28122 76577\n23033 31520\n36287 89963\n31257 85107\n52625 62687\n79666 82993\n15825 22743\n2319 80973\n6353 78349\n829 55771\n9640 95362\n14026 25089\n48172 81054\n17110 39288\n7993 44307\n21353 92192\n40609 96259\n2445 9526\n9581 12818\n79944 88742\n51000 64734\n65790 71615\n66998 93792\n2644 72473\n72058 87739\n9268 13007\n30609 31821\n26133 74654\n17700 20929\n58392 77675\n55537 77718\n13515 90711\n22159 85750\n68568 92485\n10280 66402\n30615 76741\n43722 91069\n31856 58634\n25886 84869\n77558 93491\n4334 36157\n4139 27372\n28745 75713\n76461 91328\n11054 57713\n8725 80294\n7635 54048\n17438 47029\n11172 41920\n4562 80907\n23238 48831\n28932 87524\n76569 94626\n22052 42648\n10481 66219\n52701 54521\n2545 98915\n66914 82149\n10706 41753\n82708 92407\n71935 95601\n86637 88367\n19287 88438\n26754 88404\n4250 67371\n3783 10263\n3972 41055\n22278 65101\n16030 60497\n70508 78283\n35749 47037\n6935 63652\n50820 66464\n6205 72625\n42213 85781\n20739 89673\n26006 78307\n19768 66512\n20694 43129\n7380 57095\n42467 68326\n2638 98417\n14328 30002\n66342 88435\n53562 80078\n22706 49845\n37762 91799\n74369 96233\n50116 56103\n30948 52434\n38430 68461\n13438 64424\n58939 84678\n37821 89818\n17322 92906\n18492 35414\n29222 77610\n19721 33459\n1494 40996\n21767 89667\n65531 85691\n582 68677\n10847 46864\n43202 49576\n96588 99006\n28520 86542\n33416 86621\n41926 56476\n66250 79374\n69682 79042\n39117 98437\n56978 87315\n14052 53097\n89433 98383\n50568 90951\n21121 66858\n52424 83143\n622 55806\n19782 38326\n22385 94811\n59574 90449\n19569 74633\n66634 73506\n1756 12454\n89214 97750\n6815 95933\n40343 86794\n19931 97824\n10904 42799\n31384 52863\n24183 75245\n3934 19293\n55914 89463\n17317 39266\n58690 86422\n23065 84104\n38842 60235\n15381 37950\n55334 97975\n27710 30411\n1539 11551\n70584 81284\n38195 96348\n50116 96817\n13860 71080\n20584 23868\n39334 88466\n49652 75720\n8869 33627\n18083 60860\n12346 37317\n3250 11259\n23315 67746\n20872 31073\n19086 85469\n11386 95264\n20697 27040\n63611 63794\n15068 62467\n83790 98779\n3969 72011\n81523 96607\n35977 68436\n28311 82700\n15618 28784\n64893 95139\n6031 36392\n20702 32188\n59038 85046\n29992 74026\n82712 83711\n48464 74072\n33635 89987\n34217 81884\n28937 52256\n23595 44924\n44023 72722\n5495 40523\n24819 26069\n34952 73029\n1247 64458\n26859 33306\n11517 22017\n30012 79247\n31957 73338\n91318 93260\n21348 47972\n57539 66480\n1549 17387\n6510 93484\n18635 86520\n67284 81739\n26382 45791\n41749 51777\n41163 69528\n69744 86015\n26014 79525\n1458 12803\n77178 88198\n38745 54892\n80079 89752\n6016 37472\n23425 85320\n34875 40882\n75262 79736\n33709 98360\n40250 42043\n24501 48529\n14147 23624\n53453 89558\n74707 92001\n1527 59252\n86274 88566\n21787 55003\n78951 86946\n1372 58838\n52110 60816\n14042 21429\n31972 59498\n9690 97249\n76222 98149\n10876 74790\n2863 80464\n9162 93679\n18000 77809\n68163 69107\n55313 87596\n70731 92809\n8907 10574\n15281 43359\n58509 70445\n19112 46835\n3169 22637\n63312 79848\n26827 80151\n20470 46444\n32113 90641\n8504 78099\n87077 90638\n81695 83943\n9638 52982\n71232 72558\n17642 29838\n32146 58103\n16625 42994\n16185 20531\n20611 56056\n17005 36434\n98084 99003\n69419 90085\n70497 82013\n3521 52882\n13991 64951\n48939 93720\n18861 76273\n53043 77240\n41150 72330\n14736 56734\n21615 88296\n80615 96265\n12926 57946\n42294 94697\n4221 5769\n28160 66606\n79576 94439\n8640 84908\n31743 79211\n5659 48562\n27268 47555\n3336 5941\n42679 65865\n24660 39794\n10491 63666\n23654 89313\n24709 27515\n16271 52004\n47579 62824\n8577 12559\n73404 92400\n30305 71077\n26945 66590\n11296 61247\n15235 37727\n26854 66244\n74002 78661\n8017 77059\n69393 81599\n530 83570\n11458 29393\n28651 84316\n31673 94390\n9593 29273\n6622 31116\n66325 82242\n19417 95781\n18531 32544\n23684 33399\n32996 64975\n22207 29563\n45220 88976\n46423 82992\n4508 18824\n12956 98984\n34892 74359\n2753 41832\n77671 85482\n5064 68782\n5622 35687\n20153 71834\n72880 86674\n29285 53244\n38207 44506\n20571 61611\n6053 33090\n21293 80201\n74982 90277\n44451 45467\n62668 65944\n45927 50963\n50077 95592\n28367 74876\n7247 33606\n47565 93207\n47038 58238\n24381 83644\n26542 70441\n15792 53772\n8477 65660\n67912 91775\n6420 91227\n11911 85162\n78536 78949\n390 31190\n1242 31405\n1724 23794\n39002 60028\n8239 8653\n50690 79105\n8060 12609\n21644 34759\n38132 59268\n53594 55779\n40345 86199\n30856 85813\n55577 57601\n16216 65605\n4510 55739\n662 13137\n23457 83135\n33214 69541\n41274 48358\n74427 94062\n44451 96073\n45191 99894\n5704 68650\n8531 24580\n58678 81839\n28078 66255\n82989 89262\n42260 44232\n36908 56598\n42029 88714\n14907 66505\n31229 56369\n8293 35590\n20254 71061\n91280 96117\n42158 80641\n48130 51232\n21136 66604\n34558 97215\n6695 29639\n29539 99140\n2698 33308\n68901 91022\n64244 87345\n22493 98559\n24673 83003\n64771 68108\n16136 62268\n22344 86363\n59077 84025\n18032 82775\n46418 66848\n4030 49649\n44889 74348\n64932 95313\n11333 67122\n20893 29435\n11016 79884\n7421 41523\n8185 39831\n37378 73439\n66366 67403\n81529 90628\n43798 53835\n38202 63968\n7328 41226\n201 86072\n65419 66161\n11830 29638\n5716 24112\n3880 52468\n57320 75992\n67615 83875\n21424 44656\n1059 57495\n270 26237\n10035 90428\n65567 77920\n26541 72453\n9334 86082\n29868 78940\n10839 48699\n3810 87532\n18476 70411\n7005 57273\n29279 80206\n55949 89796\n183 44864\n42878 64728\n46451 92650\n83884 89028\n24514 57578\n87015 94644\n23525 82452\n20096 88358\n20879 71462\n42587 75330\n58392 71626\n64540 89855\n44400 46011\n40395 77363\n35857 79738\n88583 98418\n4286 10755\n35398 91791\n25257 53071\n40025 95570\n64292 94771\n17400 95519\n7716 66061\n26627 26763\n53313 56674\n14471 50881\n18985 55306\n24244 57843\n72143 94647\n50131 86833\n3798 74048\n12123 78761\n57917 65626\n4203 54266\n42130 44505\n23532 78948\n66267 95514\n57722 81440\n18751 79520\n93994 97598\n8915 33980\n67013 86639\n95686 98742\n17071 84710\n36791 60699\n55990 80556\n82200 98711\n37593 50042\n23822 43477\n54651 81414\n63650 98192\n9434 29867\n35574 76013\n92604 97952\n13863 83576\n50306 71893\n36729 46128\n92748 99008\n59362 63313\n39247 39977\n49893 72685\n48851 75792\n45237 46973\n14562 75302\n55582 79894\n38197 95894\n36618 93795\n63118 69462\n1284 25135\n22957 47921\n72614 81305\n18220 79653\n40535 53605\n28170 93768\n40955 50516\n5720 35489\n5233 62850\n6887 60725\n47731 85529\n59930 86934\n56009 67097\n288 58885\n37012 57494\n2646 27491\n68296 94587\n207 96015\n65567 89268\n56136 67821\n62298 97221\n27889 36537\n21179 48817\n89645 89920\n16693 74106\n16916 60699\n22179 83339\n71738 99921\n67864 85118\n4309 7264\n48017 54056\n32364 49612\n59754 79742\n27250 49058\n82032 90409\n6573 71093\n12180 69524\n13662 44791\n10770 61551\n36091 80207\n26123 66615\n31039 91227\n13761 15497\n60661 96350\n20110 93320\n16131 86081\n3015 31469\n24519 46491\n90062 96660\n76691 97700\n58140 75245\n12498 34414\n83271 87632\n9819 25120\n75693 88766\n25713 72340\n43112 79077\n12326 25959\n306 98972\n33152 46634\n48539 71812\n4120 98799\n51826 64484\n19616 94287\n10986 64793\n63067 68789\n23438 62682\n1601 59742\n46204 97793\n18327 82046\n7932 26038\n25079 55192\n4727 62500\n63541 85284\n16826 17186\n30000 38914\n69290 88316\n2441 70904\n48964 60909\n32028 71723\n20470 88630\n19321 70958\n37969 60918\n32240 48720\n2335 47558\n1753 58866\n32142 53424\n21308 57534\n51304 68067\n42889 97828\n47033 98067\n5852 44416\n33922 62474\n47624 58795\n52650 60472\n62023 70538\n30705 38767\n29600 29924\n28682 51730\n13607 22389\n83756 89690\n46 89883\n54402 56970\n17402 57480\n32795 89603\n29135 97747\n30352 64223\n13222 98039\n36015 55082\n18076 50777\n62241 79580\n490 48539\n5663 21449\n93970 98766\n5136 82174\n13948 90517\n66362 94853\n2527 81570\n38745 44829\n45211 86945\n79905 99790\n33586 33629\n30212 84705\n8156 95380\n12866 61785\n57675 70413\n23685 76797\n3382 19427\n11639 86956\n555 4854\n24646 33954\n16747 38541\n69312 72339\n27734 98506\n32978 84621\n3297 71531\n49593 83946\n4456 21328\n3729 91858\n35459 80163\n17157 95127\n60283 98891\n19926 87723\n16787 53207\n24552 85191\n17213 90315\n27197 52336\n11808 36473\n35019 77969\n595 26439\n78467 90799\n17973 97939\n4932 19930\n33231 85933\n15320 70751\n18898 41991\n15579 93647\n9980 38922\n37391 56108\n6845 98280\n26938 48639\n24114 25944\n37236 45389\n28468 38732\n36509 38402\n45334 59114\n80280 86334\n37359 65335\n33501 43706\n11539 37345\n2010 10565\n64734 91508\n47560 75865\n33220 91754\n4860 48792\n8345 88330\n52855 69795\n64377 80552\n83617 86007\n37495 67167\n62921 65788\n10567 47267\n344 66987\n29176 70691\n1368 82592\n11274 43846\n29839 84954\n71832 88861\n38656 72791\n53392 53488\n45789 66911\n58537 71691\n90 97287\n60218 60426\n94622 95659\n39889 63651\n2907 75328\n16668 78896\n2668 92187\n71881 84325\n21604 57336\n48990 51847\n8453 43667\n19578 79301\n25686 89478\n25906 73550\n10234 63199\n9715 11866\n14414 41103\n53802 74442\n42549 58357\n45307 91694\n9474 90304\n60505 97295\n18494 42585\n60920 84885\n20680 48451\n31201 39792\n49214 49614\n15912 23777\n44392 69843\n35231 69741\n86538 98170\n772 50455\n13816 85963\n62868 77692\n50498 93968\n17258 29368\n49705 93811\n10870 85311\n24431 32817\n2337 66809\n4469 6223\n25968 97684\n22087 56610\n23325 43696\n9071 61369\n63523 66998\n40940 91905\n8971 99257\n11073 88839\n26367 80723\n34895 83780\n5164 47398\n29910 70050\n61665 69808\n43218 45173\n42371 47455\n15047 59389\n75938 86651\n60777 73214\n17083 58209\n67515 72997\n70655 90541\n61334 95499\n23632 61569\n26266 57919\n12976 61350\n49832 62213\n6072 6246\n87163 97109\n12379 84485\n67322 67633\n15824 62296\n84660 87154\n35708 93711\n66179 66783\n49243 83669\n20621 49749\n42707 89211\n21673 83360\n57020 63459\n19421 74253\n330 49452\n23287 80754\n35749 98177\n62930 71821\n75965 90676\n38113 96158\n49327 80851\n42379 52855\n51133 74822\n1692 6562\n5596 79036\n45833 73921\n46326 86795\n21759 94823\n12295 96919\n2311 31912\n12970 53300\n92082 98887\n54074 95939\n5395 41272\n23060 53408\n22678 79340\n24101 48426\n8340 22139\n70234 78148\n11735 20432\n45595 95017\n20095 28299\n35392 46247\n29667 86939\n71906 87463\n19495 91256\n10862 27149\n28043 94076\n65499 99998\n44800 66939\n68786 85329\n11456 87829\n47065 61629\n56075 75258\n33367 64747\n47745 82930\n6196 32707\n23946 90974\n20216 26409\n60317 86694\n17639 37392\n89940 95697\n12600 41651\n57073 73303\n28451 39881\n65653 76503\n17630 24588\n37176 38422\n36245 79871\n65085 86432\n90534 95332\n22990 27677\n79147 97541\n9384 87729\n98403 98612\n49138 79857\n57622 90851\n7130 16145\n20095 53675\n41971 61071\n54006 98330\n61570 86415\n65256 74163\n15667 21492\n1651 13377\n11099 74067\n1535 71851\n83756 91510\n70967 71553\n36065 58900\n47624 75467\n31745 97268\n21026 38698\n47367 64373\n6055 35671\n62050 97483\n62505 73510\n60982 83772\n94 5870\n37736 62994\n40791 86944\n67001 78295\n18961 81175\n47758 73563\n49541 60607\n39604 88691\n171 9418\n2084 62538\n18125 44524\n1386 39831\n40467 55579\n66652 82138\n27287 99491\n62632 70147\n60544 81600\n8920 49015\n7296 85877\n64603 80055\n25208 63141\n18764 72969\n33500 88931\n63380 91722\n50640 88285\n58989 75432\n50175 82693\n56664 82001\n32017 60985\n43464 99858\n20524 68705\n72453 83336\n27172 99070\n28862 67579\n3132 31092\n73696 80102\n25422 28098\n6826 42498\n8244 74423\n44886 77550\n20838 81336\n24256 96278\n69517 91261\n57277 78176\n17130 93417\n33073 57572\n31730 32083\n29104 49575\n48712 66235\n22003 71056\n62592 71987\n57763 63493\n28865 32779\n27028 43478\n67470 68027\n78705 84050\n1099 22477\n71238 80766\n54758 91125\n83955 92069\n17077 46074\n10374 85099\n62842 80436\n78572 99002\n60238 78918\n7094 50636\n4844 52114\n28288 48818\n55559 64766\n38962 94729\n20283 75407\n46648 94703\n12356 93631\n14238 92584\n38051 46000\n17087 37924\n23814 38401\n54111 84506\n13888 35496\n34811 64445\n61634 81915\n23019 52768\n66618 80360\n41204 58839\n1223 25606\n11674 29359\n10827 99924\n66701 68562\n58572 73970\n17689 27726\n17625 32161\n25002 44373\n31165 56307\n22810 62917\n2324 74424\n569 44970\n21549 98302\n31466 93549\n13848 91938\n28377 78168\n7544 17157\n83470 91299\n13676 97511\n18636 88762\n28156 60887\n15535 96306\n27419 86590\n60931 94996\n22150 86963\n2098 59380\n28332 55646\n79820 87287\n43990 59804\n3603 64676\n48848 96314\n1875 95835\n62596 76060\n8530 44041\n58609 76489\n22972 34071\n34882 63025\n33217 53808\n27597 54273\n16657 55591\n12825 40148\n70786 98218\n87844 90472\n10434 82881\n24149 35236\n7 76107\n8333 65401\n69636 70224\n20782 88345\n65406 96842\n33854 62938\n32773 85952\n33420 55101\n18063 55226\n27236 98460\n6285 47257\n6644 61517\n4820 48850\n66151 81558\n37220 98060\n69873 85622\n56008 60794\n61738 94954\n29662 56717\n33813 52607\n48785 60458\n26974 44446\n40932 70311\n6854 38730\n8187 65626\n5512 51693\n6126 31208\n40989 75870\n16600 78044\n33366 89992\n77383 99481\n69753 73039\n46968 90475\n11412 84647\n458 29388\n79460 81269\n26526 53761\n26347 43056\n19785 61481\n27767 34893\n16172 89669\n22742 44531\n13318 91472\n40037 64957\n2009 91216\n38356 63987\n9390 11812\n6587 67016\n32627 74400\n37900 46695\n61813 74129\n69213 94759\n17935 95693\n61583 96964\n83897 98660\n5271 85889\n21143 51630\n34352 91690\n34817 68750\n12734 24595\n62101 73921\n84045 91282\n52037 56927\n38619 43989\n35897 44254\n12413 80340\n91260 96629\n31415 38344\n68875 81487\n12944 81789\n30288 62670\n81058 89775\n11751 70497\n10243 58609\n10934 77779\n21379 72717\n95822 99806\n51667 94024\n47249 54534\n35269 43176\n16384 92386\n8857 53786\n29706 75352\n23665 63022\n33250 36988\n18647 76250\n486 53174\n55716 73803\n9470 14416\n24600 33955\n60272 73079\n36015 72124\n6781 37018\n385 33753\n53947 97938\n11245 69261\n24097 67644\n26812 34616\n5116 37230\n61956 97427\n29964 60230\n11629 88468\n30599 39678\n60334 88558\n23358 47994\n10671 48684\n48879 57587\n66874 71135\n73565 93743\n5533 68229\n22109 95797\n26424 76083\n1880 91393\n27756 57549\n36403 82146\n20037 72872\n33254 68959\n16149 58768\n1634 40879\n30381 61796\n16714 48064\n54548 81141\n73155 81153\n41294 70610\n19156 28130\n4399 53121\n4386 85098\n1364 89846\n5110 41362\n19778 53088\n1948 23462\n11001 31381\n43357 80496\n28023 42459\n42943 77234\n27408 91034\n91987 92774\n26552 54395\n19148 67123\n29741 94467\n15591 94527\n28493 48522\n25567 57554\n47804 65115\n39329 79621\n255 94003\n72134 86954\n47036 81555\n17038 81034\n21225 82002\n35491 46074\n29984 93762\n31155 68963\n568 94968\n20068 84018\n41159 85756\n825 79598\n7947 57923\n1213 78836\n6412 62028\n69970 78432\n30381 63399\n13711 67850\n70047 97056\n9659 37636\n25839 49288\n22491 41569\n86346 96048\n54082 98207\n11200 48164\n78021 86848\n1457 81516\n3840 70330\n4432 67347\n85244 86186\n35599 92532\n32885 60075\n41142 42813\n41073 79502\n31246 62299\n52907 62706\n7621 36034\n21288 53344\n28725 52108\n21614 90778\n38715 79702\n41847 98692\n81283 81479\n84438 93784\n262 41853\n19158 64475\n70070 70577\n61352 76498\n33236 93947\n31019 98588\n41687 66634\n14049 86850\n7595 58810\n7973 50777\n71537 77944\n40123 49103\n20536 67105\n47091 60094\n7282 90505\n19918 42433\n77846 80213\n2908 86838\n88751 99661\n12024 56684\n56831 79199\n69717 86300\n21457 33217\n54610 65987\n45444 87752\n50837 72150\n35005 50929\n75452 87201\n91614 95650\n15742 92007\n18680 88143\n24047 40533\n18065 72302\n51231 51746\n41644 81798\n2572 65322\n10116 16833\n30392 68829\n1441 22972\n35232 94436\n16869 58163\n70547 71357\n44254 52905\n11297 68994\n5586 26680\n21458 90460\n31340 34775\n62555 84509\n7134 79395\n17129 57105\n3156 26707\n23652 77734\n24055 28464\n21255 37986\n16175 80368\n11786 63710\n3007 89249\n33227 92013\n26965 61841\n70287 78743\n9124 22000\n29317 93696\n74974 79873\n4122 56176\n19640 52609\n41074 56418\n51749 69310\n24196 46205\n16531 62888\n6508 55822\n32131 86794\n97544 99735\n14732 69699\n26807 68762\n7547 82551\n64217 97423\n7317 20069\n33305 60694\n31484 94803\n91417 98121\n74319 90799\n74439 76369\n52365 72811\n76012 81266\n36021 60931\n9353 56726\n37530 79070\n42392 46296\n59594 97350\n12210 62059\n8500 28477\n66733 97510\n53085 78643\n25542 49610\n2140 84924\n31331 70900\n38430 42283\n22686 43313\n66487 86096\n5666 84061\n6508 41040\n26467 77526\n53628 98044\n28211 31380\n36375 54963\n36356 71444\n85947 99337\n6030 17056\n69578 88442\n40916 81175\n65320 85245\n38403 84449\n85294 98775\n14292 21539\n45851 76942\n38721 70723\n33168 45289\n10067 73834\n41177 90896\n48140 76244\n86963 93478\n76544 92953\n22473 39844\n31567 66604\n29264 76514\n2560 87027\n17785 53559\n51803 64417\n35474 87973\n34014 66854\n28711 92711\n23588 49221\n26668 45475\n27907 87178\n43807 56552\n23439 69347\n11108 21124\n569 92698\n40105 52433\n17362 35400\n42156 73825\n836 74217\n58056 86632\n30805 50615\n48242 81234\n19573 90929\n13421 31517\n16274 60433\n30212 31995\n36198 96235\n41226 85421\n47197 57010\n33109 38255\n1843 48952\n44743 85092\n3214 94658\n27220 45997\n83447 84355\n60136 96252\n33079 57329\n7319 60334\n1604 51864\n78182 86802\n30097 41108\n70000 84775\n20945 28126\n29148 92515\n22512 54226\n66192 66337\n21366 57800\n6412 14476\n9578 24882\n62386 81206\n17048 39828\n14425 82845\n76096 96261\n5571 56050\n9067 44538\n88670 96077\n84770 86779\n4397 23458\n12528 22129\n72387 75542\n17462 65462\n919 2609\n10718 71132\n34507 64500\n64733 73820\n7820 22875\n31875 51768\n1211 37253\n48998 51881\n19456 91387\n53532 73554\n25336 64110\n11846 66427\n5891 25686\n5556 71166\n13238 65791\n42511 48101\n44454 84124\n47857 52431\n82358 94816\n12621 41828\n6945 62715\n6023 10203\n15420 35141\n21700 49664\n23119 58327\n32314 73304\n72903 97686\n68503 78802\n26048 80409\n72664 87060\n13243 39661\n15274 63061\n67870 99081\n59648 94040\n55915 56256\n46291 47094\n11920 59132\n3772 51496\n36157 44978\n19746 89148\n69319 75193\n11976 70993\n81775 95268\n73916 88976\n15384 70994\n2774 14593\n13650 84465\n76477 89064\n25597 40775\n67222 89112\n10264 85582\n91912 95986\n15095 57040\n62139 91890\n4223 17073\n89699 95225\n1552 11213\n45381 54526\n5822 75565\n6980 66905\n33352 58980\n27269 34158\n56859 88220\n2367 82487\n5140 72720\n13583 86072\n61818 90319\n50238 92900\n43330 68317\n58503 93686\n37489 51827\n11442 85235\n75863 84137\n1621 35615\n29641 63134\n23621 44798\n30279 65704\n57763 65915\n13438 48935\n37194 69375\n58793 99599\n38652 43376\n15054 67554\n10283 83052\n35858 41843\n1778 83158\n7565 65862\n1864 78577\n16719 70572\n73595 97099\n2775 66310\n45570 68494\n92314 97708\n3333 97946\n69478 88539\n65471 74900\n24739 82302\n72541 85601\n36166 99845\n41426 94389\n26554 86258\n21169 88566\n4714 24862\n7076 11019\n29932 84730\n70952 77924\n30146 74854\n18562 23981\n11116 30348\n26149 92168\n60787 87512\n18765 27099\n2956 11442\n2867 72863\n49495 68959\n13761 88884\n353 68284\n66060 73258\n34191 70697\n6680 63415\n14862 48711\n66058 73624\n15673 38357\n88010 99406\n29068 83989\n55907 94995\n44697 49327\n77184 84351\n911 12623\n36093 66916\n20339 41923\n39664 78834\n25213 67770\n54630 78967\n64868 81841\n24937 88061\n86078 86791\n46880 47871\n33576 66724\n57265 93138\n8271 56872\n4217 21160\n31598 96953\n18868 66451\n29720 60594\n9398 58429\n12527 47738\n12988 30678\n16336 72236\n5713 71253\n53075 67275\n45502 61939\n49958 89469\n61848 78581\n42076 77802\n66213 92578\n11140 77201\n54987 88552\n96741 96862\n35460 87671\n27804 64716\n76262 95106\n45222 77568\n55832 61983\n89632 91661\n27821 46434\n38853 40547\n24439 98713\n20659 24886\n41795 86699\n42580 94916\n1763 77436\n23870 75143\n30980 93355\n5731 65248\n45450 81664\n38544 93655\n23276 39490\n6972 83638\n40766 41805\n38975 91097\n2121 57673\n8775 65523\n24739 93741\n49599 90200\n6203 52432\n12581 94754\n46062 95644\n32713 72072\n33769 82405\n17558 27988\n8558 85926\n35989 77981\n21494 97368\n29517 52350\n12747 16997\n32087 38058\n38550 89708\n51249 96925\n7696 9924\n14594 83352\n900 43522\n24620 97021\n47096 94452\n53115 75445\n14235 94212\n80056 99290\n12894 49378\n11428 88148\n54431 86379\n20454 36769\n46148 74284\n23546 50955\n11441 88641\n38317 68906\n23662 24343\n72516 98901\n51252 88111\n11687 22746\n59762 94352\n37514 41056\n37386 68433\n21485 80498\n35980 75793\n17586 99260\n3918 32312\n86443 97788\n19516 25384\n41430 99477\n15205 64280\n24672 81023\n76398 93190\n11235 46303\n63025 96191\n37287 69529\n25590 51559\n28147 72799\n83425 89379\n40393 96768\n80894 91444\n11181 77871\n43121 77589\n22506 97213\n57838 62990\n4608 69253\n2448 92033\n30776 53068\n12482 35543\n14266 89582\n25900 88067\n40127 90930\n38802 83694\n60599 90627\n23818 42084\n21257 27539\n87414 90828\n19833 81533\n44543 55948\n9180 73198\n5476 92874\n15648 21442\n23862 34316\n72790 81737\n55256 93022\n45668 96376\n3766 36657\n16842 35346\n64279 81618\n45061 68152\n13353 47738\n39645 54888\n24980 91030\n7691 57716\n24045 88648\n76084 86818\n37353 45210\n520 96582\n12273 90922\n247 42805\n57927 88171\n29776 80109\n7696 59626\n3412 53208\n39306 71447\n21921 76679\n13382 48540\n49555 63881\n44994 93584\n25604 90486\n66005 80888\n18903 23252\n62709 65943\n73480 76523\n74882 93849\n46024 59535\n13605 50962\n31590 87925\n31521 94147\n7480 24775\n80616 99625\n24849 51773\n12552 18202\n19425 46547\n40899 90092\n14705 97033\n65688 67117\n29508 56489\n2473 32446\n75973 88391\n10065 70562\n52512 62783\n73828 88446\n12323 95848\n77821 83180\n26106 71451\n19744 32869\n22658 87190\n25160 93001\n7180 45890\n82322 87207\n13729 15956\n96214 96418\n438 35613\n59642 97572\n27153 50074\n4111 62327\n75238 75474\n86342 94725\n18051 63825\n93296 99613\n28580 67585\n71513 80314\n31037 39327\n33226 81562\n46286 81492\n18626 58377\n22341 86805\n66126 66218\n604 21867\n60628 93133\n78838 89268\n15327 28923\n37412 73881\n55355 72542\n45378 99768\n29846 93696\n27463 37290\n37130 74969\n9825 61876\n28513 99539\n63230 68816\n86945 92780\n73939 76179\n10472 46046\n1120 81068\n26233 43073\n12308 14081\n3100 69472\n26358 80203\n20354 68963\n17148 86028\n26485 51312\n28360 71816\n47729 56881\n70534 93571\n68148 95068\n28303 59436\n13971 69615\n28539 93605\n37440 39354\n16772 24011\n8007 13929\n20024 35392\n64813 71153\n31662 71359\n2007 48206\n7045 69544\n25084 28323\n96606 96912\n57342 98492\n9758 51686\n16044 52194\n26432 63894\n61671 83750\n39862 85589\n30839 84495\n18879 72024\n7160 42687\n63629 78612\n31306 51285\n15440 57547\n29358 49674\n19640 89452\n74549 83520\n24340 42493\n39906 65746\n40475 58523\n91770 96680\n11635 67261\n839 43696\n89283 99703\n18902 77233\n19953 56182\n25772 87561\n58035 87759\n63506 80170\n17425 70801\n77309 98542\n2658 11132\n930 52480\n21383 96252\n69863 98928\n12628 95283\n62344 70693\n86539 98554\n32663 34236\n65102 92847\n86329 94261\n76973 89235\n34776 62653\n51895 76660\n29487 60556\n48687 50295\n15159 54148\n46962 96309\n11775 55733\n44673 90425\n20167 77777\n28806 65850\n34769 97075\n39605 56260\n17751 91700\n81477 86369\n51979 65388\n12643 64196\n7798 8948\n71482 87177\n18141 40875\n15449 56225\n15169 25641\n3083 62251\n13969 57031\n44247 73928\n26526 99887\n16686 86155\n1152 37285\n16455 52845\n8840 98146\n28201 90082\n16091 70707\n38717 62664\n22601 41778\n49016 90881\n18579 79294\n43227 63059\n10725 66249\n15173 66419\n29020 63841\n23978 29728\n19000 24858\n2258 22202\n8479 62686\n75836 96399\n84686 96370\n9749 54589\n17542 22347\n53851 93606\n11759 76111\n32418 66013\n1019 67615\n35790 74848\n56049 92179\n43024 45918\n10294 48025\n48970 57251\n34888 58942\n5943 15968\n39694 48604\n88173 96279\n17678 41931\n72729 85219\n56808 97150\n37744 39854\n124 12963\n47549 67616\n7979 61165\n15262 16143\n32147 54720\n46014 89831\n16239 56328\n46016 83973\n43807 97324\n48179 84656\n30144 41710\n29945 37175\n67656 73616\n32336 58487\n33260 84313\n11349 73800\n19022 37696\n44628 51179\n16703 82230\n29140 36996\n80823 86540\n5021 75798\n10421 30113\n22005 53615\n14474 25065\n57730 89585\n25541 92691\n2888 90120\n18960 52356\n12634 61246\n47182 78060\n2426 45841\n21351 85717\n26743 80837\n23083 44942\n10920 58131\n10300 69696\n76720 96855\n5409 13361\n7774 88974\n42742 86358\n7670 15156\n72437 87995\n4636 48159\n35532 46228\n11036 47739\n32468 53423\n14107 46388\n75499 77889\n49608 97847\n58056 71732\n35913 97231\n18873 26069\n29064 62990\n59577 82802\n77139 86992\n11704 41399\n6834 15493\n33874 36470\n8389 39410\n3789 67662\n30601 83715\n79377 90412\n30003 58954\n51076 85188\n16113 79070\n27789 70227\n20285 96600\n41205 97677\n18885 78168\n42312 80038\n13443 53884\n30304 99354\n31428 79871\n22118 93645\n2921 11125\n1861 32242\n28359 46421\n20269 54804\n10726 51852\n7337 96252\n52882 61726\n67206 78904\n38307 72257\n38330 95131\n26044 85311\n5190 41331\n36005 58987\n57520 98183\n68801 73603\n44250 60228\n17537 48032\n27122 32431\n69707 91358\n40822 44156\n68824 81848\n75054 80197\n8615 65935\n50608 51233\n41991 84365\n594 93431\n31480 56996\n13719 44778\n63339 95972\n81216 83391\n49178 57087\n14581 29379\n24490 57170\n2096 91310\n15888 15926\n53410 97894\n615 31895\n77279 84784\n26112 57296\n6201 40154\n3843 94246\n11861 41610\n35362 88751\n53384 68504\n6410 8941\n5264 40717\n2372 5914\n3572 7189\n52921 58219\n15020 49252\n47591 71932\n7137 67662\n56671 93520\n38451 77769\n15274 27795\n61927 74883\n76319 85112\n48874 73564\n79539 94172\n7798 26049\n67994 79427\n55347 62072\n9397 91652\n666 12690\n14212 62580\n57251 74338\n43546 68085\n12836 47110\n27681 99964\n46132 51730\n20444 77658\n74641 84366\n33831 57495\n73384 84255\n3212 28241\n4166 13125\n29738 91198\n34532 69594\n55331 60875\n30526 64305\n18975 61576\n11558 31141\n45273 51274\n91459 93413\n14541 89874\n789 37302\n21170 60048\n18755 56644\n28770 77456\n16696 85591\n63925 91650\n571 38166\n74109 98792\n74215 81334\n71333 87426\n50275 72261\n27166 37020\n21495 96951\n23364 70864\n60422 86570\n81734 90293\n39474 98451\n58479 65015\n57113 57625\n2592 23558\n33712 52391\n52405 79961\n19720 35886\n6771 26124\n15898 93503\n55632 88914\n31884 99439\n28455 81612\n45178 76563\n355 50231\n72468 73835\n3804 4452\n18300 53053\n21130 76278\n30010 61704\n54397 82913\n13505 80341\n88661 93981\n10717 63485\n4912 84229\n58531 87625\n60013 93599\n50853 64504\n58091 82081\n50046 77995\n35223 70488\n11924 28221\n93746 93848\n43572 49803\n71278 88392\n12941 84034\n517 63627\n48809 70584\n4431 85408\n28465 72936\n14192 77741\n865 92325\n25943 61052\n17208 46776\n27719 61639\n10879 82964\n6874 89163\n17553 94628\n28310 66732\n50010 67702\n30751 48100\n20906 25618\n5316 49337\n61319 99756\n43076 73146\n42298 52822\n53867 62478\n31740 42875\n47020 71300\n31916 36633\n45868 83391\n12890 75495\n43743 55685\n36090 46303\n20957 93089\n27821 41671\n13076 69847\n9525 48234\n12392 50174\n24059 46573\n68962 72861\n14106 34610\n21306 38804\n25082 61137\n17703 78572\n31474 37759\n38806 86047\n72973 90102\n50434 71915\n11091 18801\n61339 73509\n4149 31070\n37674 98195\n83585 85850\n468 75752\n30122 84849\n21238 94274\n22541 95376\n43313 62081\n52173 58462\n17492 40366\n63697 81780\n40112 91278\n9404 97400\n52611 91359\n34346 60750\n4778 87939\n11070 79576\n26056 74352\n41646 71740\n29638 34433\n29808 85969\n10998 60821\n31 63686\n6086 74001\n36327 57216\n6736 85103\n34399 58617\n31856 37354\n53542 54035\n8262 65567\n53241 58683\n20899 40283\n31378 99231\n4735 72961\n73732 85388\n42857 63764\n23481 37574\n11150 64892\n1602 82775\n60 45888\n477 77499\n77922 97609\n6294 65568\n16687 78304\n54595 78686\n88707 96703\n18518 71256\n27474 38812\n25824 75589\n17319 56056\n23248 76314\n26409 69385\n23253 81529\n1960 83009\n8892 70070\n6558 30165\n45026 68008\n36188 97791\n8971 45888\n27214 95406\n47003 56984\n11114 95879\n41627 56627\n35297 96228\n9294 13236\n3269 73322\n4638 96129\n44145 76769\n31088 70678\n10338 82752\n15103 79919\n70160 89010\n4988 10741\n145 8926\n33714 56527\n45964 88010\n34641 55842\n9145 27342\n78437 94646\n57497 88171\n32931 60774\n57335 84705\n28362 58460\n20055 76827\n24512 36810\n6744 73214\n22462 33674\n52004 63973\n17402 42710\n16296 63604\n36912 50166\n19279 48683\n15974 69311\n32838 60159\n82074 95899\n33063 45196\n32741 35312\n7640 44011\n8278 38697\n69583 97461\n1769 61734\n13610 17324\n19199 69045\n26596 81174\n2992 49119\n62268 96434\n44098 96635\n55636 84653\n27121 66136\n28529 60921\n35657 55310\n25591 62270\n11899 28383\n86139 86210\n9970 70013\n53664 68359\n37318 90008\n3745 68524\n2887 69918\n89472 97807\n69283 93932\n59338 93238\n43328 78776\n2512 85156\n19024 91944\n16248 64477\n89986 94532\n83779 89252\n26336 46087\n71957 73862\n37678 79779\n1152 17046\n16631 89908\n6310 78312\n51268 55972\n30770 43477\n18601 31723\n26589 35690\n32546 61652\n4608 41302\n25946 50533\n77831 93545\n9863 90440\n17863 96678\n7671 94341\n7105 63736\n76628 79832\n45018 80503\n26735 77057\n21192 52946\n49881 84661\n27967 32415\n39565 80701\n13448 69657\n49788 61343\n48739 79760\n57412 78134\n19874 20275\n51288 93033\n47644 75808\n39384 75733\n51542 73729\n4169 54621\n43897 86990\n6272 35287\n9043 57626\n13188 79028\n28595 84747\n30228 45413\n13912 32120\n8515 87776\n6359 9143\n38927 64370\n1686 35630\n903 59491\n87380 98639\n13347 85103\n36747 93617\n49695 81702\n11 61616\n7388 30037\n38119 75950\n50065 92858\n6584 17996\n4345 84035\n56945 80742\n60397 74734\n69579 90975\n18134 25869\n1914 79362\n32716 85695\n76903 80585\n13720 70947\n6671 69857\n50685 99288\n28381 95997\n62382 74718\n597 31827\n10048 13183\n50713 71099\n46816 91336\n74598 87535\n16749 63833\n39401 82528\n12313 39310\n37329 93705\n9185 10327\n40690 43869\n34296 81804\n10066 35954\n22837 33633\n24303 59092\n30630 77794\n24311 79470\n16784 88326\n23898 42107\n26180 77431\n33287 52044\n84842 98509\n52830 78613\n73576 94559\n69989 90245\n54506 75263\n7031 93511\n46984 77615\n67746 72494\n3819 91769\n72859 77845\n34967 83655\n11696 80036\n34220 51319\n27335 91591\n23150 36113\n70957 72376\n32753 75628\n5917 83734\n24835 26457\n19421 93965\n14624 70688\n3424 45195\n60508 88557\n39961 86738\n59467 84290\n57310 95119\n18353 74588\n6139 75895\n21893 96400\n4711 87310\n11570 25325\n16450 57176\n25946 70695\n2005 98747\n36891 99713\n18548 43120\n43009 45441\n70204 77421\n44018 96376\n11482 63414\n2324 43668\n30266 61978\n59537 86130\n15643 55393\n9034 38656\n20529 52475\n12125 91063\n4937 51753\n24068 45258\n31151 70427\n3395 3429\n54077 65483\n38765 66103\n40188 75028\n1282 13189\n9838 28953\n72484 76610\n49786 78601\n15283 18971\n27058 47380\n11315 18663\n4921 15864\n43025 45098\n51713 75606\n4148 60536\n32947 69582\n19470 96740\n82332 83093\n75504 95156\n13044 61140\n11082 86412\n11241 17151\n69528 95483\n50811 78480\n85563 96994\n26022 28285\n39764 75661\n2392 41504\n29296 39540\n59563 81470\n76058 89122\n26028 35840\n23422 65163\n31451 90876\n26130 80374\n24708 87034\n37013 76505\n18140 68878\n13010 93147\n20012 25543\n39294 61607\n57238 70403\n7118 99981\n74352 78036\n24509 86338\n55454 87549\n68490 83678\n22829 28370\n50775 88354\n3170 36178\n7473 65899\n13099 52691\n47736 69803\n59777 82101\n52783 81624\n8657 83522\n5540 56300\n70248 93483\n78185 98272\n56129 77318\n13958 93363\n30730 65806\n31544 88127\n165 36518\n21305 65727\n10055 83268\n21504 57726\n4062 23433\n12745 56099\n65431 99169\n62107 89896\n15289 23593\n54512 87624\n44944 84751\n14809 41837\n21745 47850\n28010 74476\n22251 22920\n17520 21608\n23251 23534\n21885 38345\n17630 50610\n10539 74738\n82615 88266\n24038 31886\n30552 37934\n12491 46893\n24954 33222\n2970 35913\n24214 99256\n18526 83118\n31816 59998\n49724 92167\n24025 68447\n3324 73476\n16185 87428\n42094 64803\n2485 82703\n65061 86392\n20126 81257\n26410 28613\n53651 96625\n65560 76606\n33910 56883\n10536 14207\n15777 42724\n56990 78705\n78847 82751\n4410 66313\n21438 33124\n47359 68580\n31734 98070\n6502 34820\n23713 80386\n59800 68349\n78388 82414\n6212 86774\n7935 71761\n55656 79441\n29782 56747\n69542 94208\n51562 83429\n78331 84909\n18203 30951\n41953 77678\n9101 33153\n52156 69669\n38563 82644\n21286 67692\n8660 89456\n45922 98977\n16173 17887\n55480 59200\n9154 40660\n68963 89010\n74961 87906\n27399 74506\n44148 76369\n16517 39330\n47897 73702\n47743 49582\n42141 74938\n77056 80171\n32451 72978\n42056 68222\n19801 43556\n49558 78681\n61027 93221\n44914 61083\n14879 50776\n26575 86718\n1773 66421\n3268 50825\n46680 49145\n60579 87815\n63122 99116\n16772 77629\n172 3412\n19036 50839\n2209 9675\n60591 77597\n7535 93280\n52874 75514\n55747 65330\n31484 64615\n14126 24457\n22238 60113\n42030 79175\n78961 80744\n57189 75646\n8792 24734\n816 36397\n13754 94975\n30631 93988\n19598 79571\n24667 36990\n9902 32798\n15077 98631\n6870 41351\n3601 14953\n2051 70567\n60879 62053\n80419 96168\n60015 86488\n27144 69746\n9099 14458\n33644 90481\n13007 38804\n14093 32460\n12582 44902\n34585 75763\n554 94805\n31495 96390\n58802 96148\n5866 48918\n806 47210\n58721 82406\n76253 83539\n14878 97618\n622 24569\n20556 62332\n15295 85227\n52510 74576\n18131 87426\n2680 66323\n49074 80581\n63234 85912\n28414 48690\n57595 73962\n9027 94687\n37794 38685\n64065 65569\n64007 94190\n8573 20331\n65798 86746\n2097 41596\n53498 61608\n20320 27081\n4606 99368\n21376 33735\n68591 88683\n47436 58523\n54141 75706\n49999 86190\n10263 76505\n17831 19355\n65472 84826\n57048 89492\n62437 75536\n14019 39963\n6779 25894\n33752 54281\n41407 91129\n89913 90692\n12617 97825\n89661 93696\n27575 28293\n36526 37061\n6808 93340\n56048 57691\n30720 95137\n676 46933\n57772 83705\n37022 39101\n22396 29890\n4574 60802\n33003 80170\n26279 37844\n62042 84050\n36316 80545\n53849 76260\n11650 68888\n3603 60679\n77918 79356\n28061 56533\n63238 87817\n47919 54473\n30230 48179\n1930 86492\n45865 59712\n18166 98800\n92874 96592\n19212 50494\n4669 48561\n6541 52365\n81826 92231\n25314 48258\n13307 91601\n38293 72938\n5766 18000\n18 60847\n3563 11151\n7877 62953\n44666 73775\n17718 99654\n40242 76473\n35862 60599\n70647 77306\n188 58219\n32452 92953\n45962 72371\n10993 29049\n25810 53586\n30103 89513\n13089 19211\n37616 86824\n17348 66295\n10243 40452\n32281 34682\n24047 32531\n13685 17717\n54343 98117\n22572 81219\n58262 66289\n6735 54474\n3400 39266\n52726 83545\n61927 87174\n67715 81359\n34252 66491\n67880 78826\n11737 63156\n65739 95216\n25440 94897\n1925 29256\n22898 48667\n1182 19453\n24849 56175\n3932 60608\n46920 58586\n63828 82154\n7309 89797\n35831 82832\n74263 96977\n41400 75647\n4949 32002\n1325 60593\n48097 52959\n17276 80498\n14140 25720\n3955 44334\n30843 77556\n11654 18622\n13343 72716\n59545 78095\n32173 78996\n13542 34304\n33788 97958\n69774 79055\n41237 50100\n39167 50992\n39725 84347\n23255 52260\n95272 98703\n12221 54791\n24304 50307\n12713 62521\n620 25787\n83274 86671\n21577 31394\n62353 68058\n76378 86149\n22230 40940\n19559 59520\n13852 47653\n3494 74782\n65719 92863\n12199 40559\n11395 90761\n20746 61453\n32345 57676\n7457 29680\n29227 90040\n1673 77619\n83208 84054\n18067 74467\n3965 3984\n18692 93292\n35056 73126\n17811 55477\n3448 75974\n2078 41145\n39944 76314\n20315 87934\n31661 47673\n71197 84929\n33246 98812\n14480 60849\n33065 80843\n69730 96610\n21002 70762\n30692 88359\n27996 43111\n22611 47661\n2429 21542\n64177 95676\n25613 47025\n1321 36360\n32564 60150\n3352 91560\n9704 57325\n45627 68761\n14861 44211\n11792 14714\n13153 24413\n5381 68821\n2856 97831\n48920 88355\n39385 49737\n26949 81909\n29004 97051\n45589 95691\n32896 45241\n49155 93922\n6151 29341\n21994 73325\n38841 47318\n15943 96512\n6313 96938\n26270 98912\n1236 77931\n37535 91370\n23472 78491\n4554 31316\n7123 33537\n13235 27488\n83088 92552\n29607 33515\n19359 40512\n1522 20588\n31594 45674\n11688 90231\n38867 55804\n53609 81619\n377 19589\n79261 84551\n68173 84039\n67220 81408\n9161 26673\n55412 78305\n48321 65434\n17154 54692\n39476 45441\n7311 91793\n10386 47104\n2744 97392\n64862 91459\n79556 87397\n1851 70054\n52285 62715\n26336 73237\n1586 39947\n28774 67038\n58062 71229\n13095 53194\n3213 21493\n12845 71885\n6277 25947\n19271 83827\n16014 85939\n10103 64882\n41989 63329\n69126 78316\n22430 84344\n28927 31374\n32959 70034\n10216 75869\n47485 80892\n11918 17768\n6881 9935\n51015 77429\n9063 81584\n17714 49371\n16311 19338\n22641 92043\n49730 54863\n24803 81523\n83891 95748\n41613 97135\n17595 30504\n22217 85008\n10681 43847\n49529 59853\n46157 73975\n8603 31463\n72325 76218\n26087 48085\n22102 37416\n12986 13577\n20043 89005\n14690 29571\n34980 36410\n21549 96247\n27682 69275\n40698 54814\n50342 93928\n47123 63269\n11304 36985\n4293 22996\n34341 71875\n31335 47878\n59631 68787\n6295 55455\n18898 43917\n17458 51316\n17903 22976\n2288 99287\n6376 68939\n84942 97185\n51324 86871\n856 24234\n25715 54221\n3736 6027\n39883 87848\n31648 88439\n10135 55428\n52138 98374\n27960 45296\n14981 85589\n30608 48444\n44007 69532\n67358 76697\n73780 82947\n2829 27581\n17743 32462\n3772 84894\n69402 97358\n10625 93731\n2665 58596\n26916 84092\n43757 49865\n14556 20647\n12171 31176\n19830 70409\n64942 73491\n29936 37898\n7604 94852\n11402 48466\n52340 90898\n47332 78803\n20071 43940\n26020 38050\n67315 83738\n15996 71623\n46068 65046\n37726 63106\n16347 61515\n4340 9995\n43109 99597\n30802 32248\n18078 38006\n19951 26425\n20719 75851\n2747 22893\n80864 99388\n80782 85094\n8593 51512\n1469 5220\n79786 91934\n26842 49450\n25503 34879\n38456 45082\n5364 7396\n5209 78795\n26709 76922\n38659 64737\n30497 45341\n7788 53535\n13116 67748\n20166 82218\n11592 72969\n24339 87385\n1748 15429\n6547 60570\n23927 72761\n8977 49793\n9291 24883\n9582 71017\n35920 54745\n11731 94328\n19855 28494\n2945 32837\n6290 95639\n39517 86964\n3813 62829\n37729 42471\n45909 49213\n1668 30467\n51486 85515\n32533 46798\n23194 31592\n23593 26536\n30703 51755\n12226 83216\n41414 76488\n15392 35077\n32917 91715\n42287 85099\n2604 41971\n5054 83714\n15290 32387\n24190 47998\n80418 89623\n28250 88699\n7125 83817\n61424 70315\n82319 83630\n5748 19529\n28761 69354\n29070 51388\n49347 75648\n62838 98629\n28061 32481\n15222 50498\n38184 58218\n73440 94555\n55880 75860\n24567 69621\n18570 74794\n47222 83137\n4980 68052\n2832 78025\n9664 49525\n14298 87445\n37855 76666\n68977 71599\n8119 61175\n1456 51287\n48417 68169\n74522 86778\n51534 64401\n19228 32087\n27448 75408\n31597 61437\n32553 80860\n26673 74213\n52415 98124\n49078 58801\n11013 35963\n34884 65671\n85033 93444\n7207 8665\n4616 80970\n3591 39803\n74149 96817\n58946 84773\n73235 93340\n30154 44727\n30862 51719\n9581 51989\n1056 98028\n3 87514\n3624 80732\n23274 76394\n29424 30597\n21142 91933\n62989 84753\n25082 33957\n44518 99529\n1862 79661\n27373 57195\n18361 38635\n21838 41936\n57147 91041\n41242 87394\n4874 25105\n14777 47497\n18121 78936\n23809 32574\n8402 63008\n39179 83818\n10785 45964\n6793 89403\n35602 44697\n49759 94277\n44751 69336\n54098 86194\n67325 96861\n29760 55712\n817 69306\n30419 70938\n34341 74029\n77019 99024\n9892 89233\n58711 86804\n7332 14035\n31853 63363\n11618 89107\n22229 64473\n74281 75630\n53279 85870\n47390 47883\n25475 51918\n29606 59030\n73162 91104\n45021 55401\n15040 25982\n72618 78568\n9571 56629\n23717 39933\n66316 66657\n20681 47642\n24821 72449\n11252 91474\n17201 92293\n485 71938\n50926 72028\n2371 82161\n16003 61351\n16774 16784\n42327 43651\n48388 78080\n1344 23488\n29971 36463\n34460 44080\n32039 86530\n11025 58214\n69932 71804\n13472 27716\n36047 73331\n46258 97599\n26980 30063\n20775 57570\n19957 48996\n27440 72482\n62659 82988\n7901 17595\n10585 11353\n24056 79785\n8293 9228\n39590 75820\n687 57473\n21128 44570\n56253 84493\n648 93092\n22116 47323\n90903 93104\n45368 98194\n32398 35805\n17213 18028\n55685 57051\n6806 87777\n26202 52763\n36694 40511\n26887 53612\n36913 46026\n24479 78919\n45494 92043\n50336 99267\n49305 67473\n1945 53562\n39196 42398\n48232 91661\n4630 39058\n5023 26951\n67850 87276\n88971 97072\n23770 96683\n2304 27396\n37517 71447\n53157 75850\n40798 95588\n1147 30186\n66646 69661\n55801 93495\n56322 92336\n49876 87813\n84211 93848\n11021 18967\n4648 95269\n36415 71843\n4241 66290\n6228 11400\n45847 60759\n51828 51843\n829 80426\n45234 86100\n48318 77410\n1200 6195\n7070 23575\n22827 96078\n25888 50392\n49504 88489\n42448 55691\n18118 56902\n57763 65987\n9793 73020\n73102 80174\n89027 99190\n78374 81254\n15413 24909\n65864 85532\n13906 66945\n5827 67318\n39168 56644\n24391 54414\n15357 63533\n6603 11165\n53062 95160\n9608 33078\n5772 10834\n15385 51031\n219 32432\n62254 69816\n7932 77510\n8431 62511\n33057 41480\n9685 40064\n60263 72542\n76650 84473\n39150 90187\n5363 92091\n41090 95373\n39777 42050\n39754 54264\n27870 62186\n44036 66430\n36048 83811\n47020 99787\n26422 65390\n11335 77522\n30059 95357\n39090 56322\n28195 52308\n2396 85118\n29961 70867\n54540 92667\n30491 90128\n38022 49407\n24724 42904\n73848 87302\n34598 85391\n15050 44212\n37335 46335\n11774 18382\n16528 17797\n56833 86564\n52773 69637\n28329 98813\n88156 91234\n32328 47703\n15640 50646\n40152 86170\n27417 90550\n71563 82371\n59858 80302\n29383 74681\n24787 56409\n49489 82597\n32357 61295\n59346 87684\n89283 95811\n39503 54545\n5310 10375\n87210 99341\n24535 30938\n50370 98148\n843 59485\n20060 43946\n19655 50712\n37859 94724\n69345 96162\n3640 99883\n37296 71976\n62435 73788\n51877 54287\n25929 29441\n67696 83426\n3044 51543\n8693 99178\n19979 81173\n35289 57937\n65908 79832\n32744 63535\n28327 87694\n22157 89538\n29685 34197\n30890 89042\n38422 59976\n32396 79901\n3712 61055\n53823 68722\n40523 79127\n36776 62936\n30469 38614\n71056 82838\n579 50362\n70254 94645\n20846 78934\n32166 75789\n24418 85759\n25710 36210\n13492 72008\n60609 95179\n60285 71476\n47721 66169\n57023 71804\n18319 46825\n29046 37167\n6177 47161\n479 7636\n92587 93219\n17451 65005\n65285 81620\n82611 95277\n76841 92499\n84526 92380\n19585 58343\n31433 89407\n46313 89168\n24309 65931\n9855 59290\n13393 86887\n28808 43554\n82266 93051\n32671 84009\n17965 24874\n24191 64647\n34598 45842\n62623 65402\n63914 64716\n19981 77772\n692 92854\n15568 51838\n25796 80871\n27425 38748\n11788 76427\n8195 30209\n46927 51265\n47419 83279\n40445 59488\n11228 71504\n1579 78610\n44641 51406\n28231 55561\n4010 85575\n46747 93561\n10345 53707\n15621 29623\n12069 34765\n51701 63499\n41216 84415\n16412 30099\n73720 91512\n34510 99174\n16367 86987\n1149 75752\n20578 72367\n2201 20274\n39351 74128\n38337 93536\n75881 96204\n15441 71303\n3522 58209\n71111 77698\n79361 82350\n7442 70990\n93783 96462\n44119 58524\n85964 92573\n44428 72455\n52467 61549\n7320 90650\n85960 94759\n11809 51636\n13962 48582\n57034 75187\n92668 97960\n8714 13402\n8415 22240\n25799 64751\n19649 33704\n20913 45699\n6939 20996\n43758 65362\n46385 53475\n10167 50957\n5304 39997\n54171 76430\n31318 59341\n9144 31290\n26856 42635\n25296 56890\n61575 85395\n59226 94757\n53324 95127\n12130 54886\n74439 82863\n10320 27290\n39718 83452\n38659 79712\n9951 62567\n11795 76709\n6417 88717\n59828 94950\n52481 71804\n15733 99979\n6897 8572\n34379 89443\n19962 87768\n53101 87395\n52552 87253\n18487 50317\n55683 61142\n18945 62714\n62818 78589\n5952 18566\n24547 81174\n3969 27915\n82468 97323\n21520 63849\n50642 60434\n63744 86621\n64450 82106\n51454 54661\n30109 95501\n31225 87555\n4628 83542\n36236 43952\n82092 96269\n25170 67645\n25365 46333\n54571 86119\n26239 54349\n79005 86097\n25424 55856\n58036 98414\n36993 53553\n30329 37854\n20470 46759\n2242 71219\n9209 68905\n30875 92266\n20016 95714\n36496 36580\n32707 39798\n37661 60649\n53372 83477\n70662 75561\n798 21003\n50480 74405\n16792 17078\n34127 45660\n20465 74038\n46542 70772\n22031 39740\n16072 94849\n881 90795\n44885 67995\n55682 58815\n12155 16283\n12304 33092\n32 20486\n14548 82275\n15690 83912\n14425 39165\n61424 64325\n17722 71310\n11482 13427\n27486 76649\n8333 16944\n38045 80928\n49268 50096\n23086 96567\n66953 88271\n18442 69984\n14743 92058\n13900 67416\n27430 99407\n48501 90032\n46140 89790\n20523 96389\n15157 93321\n28179 59888\n88599 95135\n3638 53982\n2073 22733\n28494 30322\n6064 94158\n92299 95851\n27086 55128\n20637 65492\n20032 89999\n36828 57383\n11262 94030\n17308 88902\n37418 48815\n56315 56908\n9592 53739\n19664 75022\n49933 92660\n11523 48209\n72591 79069\n5857 66045\n30309 73683\n13483 49224\n8656 62357\n34455 78780\n59949 81230\n64823 67983\n43445 44119\n18992 50222\n75381 94536\n27194 48306\n30868 76473\n14085 79907\n23067 77360\n63064 85357\n15783 71549\n81053 88083\n53637 99318\n50830 76866\n49707 71490\n42702 61637\n25752 44225\n27007 45925\n8440 19288\n32286 45652\n70914 89762\n5588 75300\n26683 64042\n21326 84119\n82378 98658\n6703 29682\n34559 85007\n57 92162\n3106 97061\n4515 29373\n7711 41400\n65244 73911\n70018 86673\n38851 71452\n35628 64732\n1672 55715\n77823 97988\n4974 23434\n9354 24515\n47318 79503\n20467 33660\n29263 45651\n34297 35442\n4315 72827\n16698 36150\n12303 56455\n27710 48218\n39966 56150\n25450 82052\n19774 53621\n8056 53363\n34650 53218\n26742 40428\n13120 89617\n14512 70202\n57342 69790\n52195 77370\n12581 32046\n47641 77492\n69318 97880\n47493 93467\n22054 53984\n50151 87963\n70232 90792\n45501 88514\n16730 72416\n35022 67023\n1815 2682\n10501 15465\n7174 66953\n59012 87473\n67759 97708\n36204 49221\n59368 93933\n51022 99975\n90796 93580\n36614 81541\n92413 93160\n21431 59147\n6240 81172\n27932 94213\n39023 57585\n44008 80849\n66767 84171\n84426 88310\n2400 6191\n12091 39788\n33232 60747\n23523 50632\n4835 43924\n67505 97408\n13717 48289\n53620 85602\n14882 56284\n25392 30826\n26018 78913\n77140 84616\n15207 92812\n1230 3750\n54217 88334\n22536 73218\n17628 53605\n55645 57498\n24232 70004\n3660 77583\n2970 7641\n69176 71801\n29190 92031\n21606 78183\n1557 3532\n36843 40063\n41218 43516\n7517 96611\n3765 81402\n31529 50451\n65086 67000\n5893 53213\n29704 68683\n85129 93797\n22392 80553\n977 5798\n56087 75870\n34714 69405\n39895 87739\n28328 47610\n67464 98234\n38491 99367\n10613 29515\n56128 59730\n48386 82036\n51315 72324\n43 16425\n38789 95500\n36726 90652\n87175 87417\n15299 95968\n56950 86906\n6690 25751\n67345 67859\n40507 57447\n16207 60233\n76026 78426\n58323 84233\n25227 77056\n48247 80980\n32570 93374\n14071 59017\n56250 58435\n44291 61607\n12544 19803\n45329 51228\n34068 45595\n49908 92361\n81579 92344\n30461 87318\n30477 68613\n3151 72770\n13009 20447\n19754 63379\n40729 70713\n12521 66910\n21682 77006\n17636 98985\n68042 76992\n20916 36349\n92020 97217\n60302 95627\n18614 58831\n3534 81378\n60016 85112\n34062 63813\n84668 86615\n33567 84580\n57510 88828\n17836 40718\n59765 69909\n22607 87473\n54754 89712\n10372 36610\n11658 15939\n6934 35131\n62372 93143\n5190 53825\n82259 89154\n30637 85903\n30144 77429\n17416 54390\n48608 68627\n38837 93772\n31966 38741\n54828 97642\n28729 83901\n41997 58274\n18156 45059\n24716 62302\n7345 34915\n34574 42995\n15266 46809\n3682 80882\n51374 80431\n16420 26974\n65890 66612\n14871 19125\n13226 23070\n42916 50849\n43673 98580\n18884 38574\n29320 65647\n10777 33708\n10722 24134\n14180 66716\n39376 45422\n80805 96091\n75119 76806\n16338 52288\n30403 82443\n51386 65545\n23227 38111\n9249 46236\n69680 71831\n16185 46892\n1904 8484\n61780 71027\n38551 41508\n68616 95903\n77318 89773\n6489 73353\n50331 56150\n33639 40386\n22200 26309\n57707 98447\n12550 22491\n37154 40200\n62371 79890\n35944 62935\n78162 90949\n72879 95353\n32053 81350\n2613 14785\n13521 34338\n62922 67381\n45444 73942\n19294 67044\n46152 69413\n21555 63658\n83756 91533\n21617 96771\n810 4117\n61400 93860\n8247 21425\n40203 63638\n58045 81503\n19190 22117\n26693 27185\n34796 89691\n25611 35692\n11035 34898\n43058 61867\n52245 96933\n5471 19794\n1369 54724\n43577 71297\n18990 77145\n17272 31063\n15314 87204\n65351 73500\n73300 92703\n3139 16455\n30789 43950\n9615 50497\n35743 52916\n21172 53867\n74052 78743\n73067 92910\n42243 79016\n20946 31359\n168 80764\n49891 72282\n75332 87109\n2363 12042\n9990 15905\n52478 57477\n6444 55436\n49803 62910\n10156 86919\n28623 65091\n44100 73496\n42137 97478\n90032 93635\n19093 40626\n51751 87202\n71805 76328\n7492 90799\n19627 73851\n32397 89261\n29023 59754\n40732 82357\n10758 39660\n79712 80654\n40073 42496\n28122 64686\n1600 87030\n23870 65360\n14069 23211\n53080 80576\n17083 53214\n9165 75544\n30957 69164\n38312 75847\n28450 66507\n28801 96844\n19351 22876\n27766 98780\n11103 57845\n2904 43435\n137 14563\n61702 77052\n43399 95112\n7953 76766\n48916 55987\n66159 84617\n42311 55631\n74607 87521\n46447 97530\n25348 61207\n74179 87770\n56213 82550\n20184 37148\n6128 63592\n26290 76586\n37055 49908\n16455 79947\n44254 95643\n42579 48322\n33938 36290\n41183 51904\n37475 74109\n71017 71222\n33974 39415\n12365 38829\n13273 55770\n48554 48723\n27941 85294\n51994 65912\n25701 61798\n17120 54717\n22449 76846\n517 61404\n89298 98912\n84746 88060\n33993 41765\n59344 75165\n58649 93556\n443 18402\n1872 70930\n46935 63314\n72 55397\n22986 58747\n53946 98567\n11198 91594\n7635 92058\n32210 71211\n30087 39355\n29377 50863\n3285 53549\n5855 20214\n57242 82772\n88870 98602\n16751 57657\n64380 97316\n3770 70837\n36355 95548\n3978 20184\n22909 97495\n70851 92533\n23478 87312\n11881 15292\n41665 79293\n5137 75248\n36909 39371\n59915 69117\n70860 79770\n80803 89175\n23188 26325\n5129 81393\n38852 64587\n57161 98597\n40882 74312\n81688 95372\n14595 97676\n50527 51871\n7883 39148\n41840 55836\n5407 62746\n56444 90627\n22315 88239\n30233 78935\n32119 36817\n53755 78969\n22933 48894\n73330 94505\n71607 96458\n10186 54975\n89450 92296\n36635 99129\n46171 58894\n762 93185\n2077 64081\n50269 61947\n14913 45072\n34115 77592\n14175 38792\n30157 88225\n45057 92247\n1315 82844\n2725 61785\n31854 92339\n12136 28054\n71761 74569\n64677 95672\n4914 17134\n4995 30370\n23525 60283\n80554 97275\n1289 5650\n51340 96028\n54400 91577\n32188 35464\n36977 43147\n32286 98298\n43677 50677\n4663 27462\n63973 85076\n74490 84630\n27798 32585\n7267 18378\n23017 39040\n88694 91788\n2416 82271\n75912 78347\n41649 52982\n46428 57695\n42524 82629\n26120 39363\n33137 73194\n67562 77367\n14598 35473\n25828 61715\n15215 31874\n14074 17196\n4236 9806\n6211 99396\n4592 72028\n45401 63679\n18030 66705\n81054 84144\n51560 79005\n840 64709\n39722 77861\n19145 97066\n43749 48668\n24287 27216\n25463 82733\n23004 67417\n12213 23137\n47095 53901\n82515 88017\n49343 80453\n76800 83781\n17782 95949\n3489 84123\n43164 59781\n72689 92310\n9395 79656\n68365 69515\n7006 52130\n16747 84664\n42252 54116\n43713 54370\n5756 64668\n15096 78332\n14901 27431\n51133 75736\n40508 96564\n1587 78564\n11549 30435\n16946 82090\n16519 23301\n906 77555\n49986 85399\n48835 55539\n98638 99938\n5050 65085\n16034 84442\n20075 99730\n21397 98808\n68355 86708\n38244 82159\n65429 79100\n18261 60558\n8121 56098\n9169 94850\n3790 89421\n59146 97060\n14114 30391\n87997 95354\n13158 29428\n1897 98121\n10652 18421\n29827 72165\n88400 92065\n32883 63845\n22993 43034\n13063 15209\n49587 73584\n28269 96071\n35986 62529\n39918 71004\n12466 51637\n12370 62474\n54249 69844\n63191 79396\n54612 58056\n4012 67384\n29030 52931\n52314 54569\n11507 70712\n24254 96065\n14755 88086\n33001 48210\n40170 60165\n6000 85186\n48667 76010\n67216 87549\n12 72891\n17099 99589\n3600 43247\n83170 94103\n19013 62250\n65974 86986\n27292 51085\n18276 62166\n28745 50241\n462 70652\n11452 49257\n35344 60752\n39808 91752\n45179 54624\n53168 67732\n22944 69546\n56806 95070\n41125 64678\n56242 88541\n53912 90790\n65343 80483\n10499 43821\n43118 67132\n28619 39581\n61858 72491\n58552 84587\n22025 87285\n68310 68349\n13694 46685\n34952 88521\n74009 75550\n38247 57757\n43469 49443\n68999 75169\n17096 99770\n8138 97113\n58827 70403\n5913 82578\n89600 94586\n6782 40705\n43582 83488\n13094 87365\n24705 45256\n44846 59241\n77115 90537\n2183 23718\n39909 88556\n10229 68868\n47507 66053\n57594 82110\n30742 32823\n16780 74146\n17491 49551\n54336 85847\n29101 56958\n10455 95097\n48408 58486\n61194 85505\n44330 91846\n12204 54023\n23500 52239\n13723 81368\n58469 85777\n24137 40095\n17320 25439\n66151 79150\n37401 74860\n32187 99088\n12952 99732\n31335 34292\n29674 77218\n62346 72013\n60541 84835\n62844 74119\n54069 57837\n65806 85311\n17681 87210\n44011 62425\n95516 99087\n10886 11836\n14496 73791\n32975 73227\n30737 75756\n64060 93579\n18402 43611\n36768 90740\n15169 58620\n87297 96457\n44224 73605\n14830 47895\n6906 57104\n22467 29824\n19413 73713\n741 21862\n43313 99552\n48254 72472\n60929 76686\n27494 68996\n3170 99254\n33043 77742\n10151 22077\n5652 86706\n19367 28961\n3330 87189\n42262 59163\n7873 23888\n61702 69988\n77616 85910\n34258 51142\n18572 89489\n72332 99707\n28830 43768\n19634 78003\n32043 94355\n29757 32603\n63088 99938\n12543 39409\n3174 68466\n29570 44120\n25262 75816\n14746 82283\n22255 50466\n39429 59600\n17011 72734\n39069 39948\n46530 73140\n19649 50720\n36647 88324\n24247 76049\n27009 85007\n9006 15096\n188 94287\n64313 76961\n27149 38134\n42778 46697\n66223 71236\n5486 30329\n8943 72694\n701 99588\n23029 78836\n60063 95747\n4175 26101\n12984 62450\n33961 67241\n69639 80082\n72943 86916\n17844 91289\n70418 82974\n35466 75182\n67167 75790\n19461 58025\n14026 80923\n31472 57939\n21790 37126\n23328 92239\n17243 52708\n10726 23886\n40375 50344\n31955 79493\n64816 79973\n52629 59062\n2299 96303\n16942 45379\n24383 54593\n36965 96932\n18302 78156\n27896 88443\n58357 69248\n24197 56886\n32013 99155\n37215 58118\n16520 96904\n15040 17419\n5541 34866\n43976 53389\n45269 83991\n29160 34355\n9989 84486\n13837 68037\n17289 42627\n51471 72167\n84227 99267\n19167 89611\n1858 25521\n71640 79834\n71853 99911\n37087 44887\n5724 97031\n40270 43275\n69725 71242\n41820 45222\n5352 34553\n73519 75935\n76706 81826\n5074 47057\n22276 48960\n31631 98698\n42352 69173\n40937 77305\n45877 53483\n1125 74015\n25205 29742\n30872 85264\n2859 42719\n2245 99261\n201 59988\n27144 44311\n51362 53663\n7342 67602\n75557 92872\n66017 87796\n17846 56155\n39601 80121\n21053 98478\n74408 82517\n1126 65600\n83364 98193\n15650 87063\n46502 62351\n22328 47055\n46905 83648\n7888 74117\n30575 83312\n5423 95724\n66044 92216\n42751 80236\n69474 71596\n13324 97192\n28173 80092\n69806 88028\n38040 83812\n16476 91538\n54056 56572\n33804 42799\n41259 71393\n5684 62927\n17090 72660\n8029 90319\n5477 20764\n19611 96767\n15131 55706\n61294 71901\n7038 54059\n6383 98880\n13266 31185\n18979 64059\n25294 33901\n21555 73294\n79593 85125\n8657 99037\n44224 55721\n28788 42456\n11175 98041\n57991 94310\n58755 79237\n52716 69508\n67031 88039\n4097 94571\n27711 55760\n32084 97634\n33497 53148\n1985 78277\n13988 76365\n74271 78059\n3496 34526\n22812 83610\n48112 72227\n40429 82558\n38965 42131\n4694 35871\n14750 98707\n12812 55457\n74712 88204\n97360 98378\n34482 62404\n14713 36617\n28336 77195\n21617 28628\n42988 73398\n30297 72764\n31315 49155\n53923 58090\n11487 57046\n54524 77454\n24653 75275\n7266 76837\n3246 9961\n32916 82885\n17826 95213\n47565 77126\n11493 51377\n71728 75186\n25015 80279\n62841 85016\n3661 35743\n15125 31204\n6860 51097\n36540 65401\n58578 71800\n7577 90139\n21851 59445\n18351 29131\n93288 97645\n70600 80897\n12259 98939\n15845 82979\n58243 68843\n47095 70540\n78495 90209\n76523 90684\n32405 51092\n61005 82898\n23155 73038\n48473 89603\n30662 80070\n15963 23157\n11267 55166\n7791 85883\n41143 58762\n31851 59839\n25726 68144\n71954 83886\n12310 58133\n41441 58703\n32483 78582\n31941 50080\n6264 30269\n59854 78830\n51143 53846\n57730 68337\n43466 53205\n62410 93769\n31005 96211\n27488 63279\n22878 24488\n41830 59269\n44067 99046\n13064 98097\n26213 27277\n64744 68599\n32174 38523\n19584 36305\n53944 79351\n9689 15180\n84155 95946\n75543 93508\n2678 43233\n5338 90267\n19400 54223\n9162 15022\n28915 95076\n49482 54020\n8370 22074\n6650 91134\n69194 88281\n68362 69147\n9910 48625\n30488 63038\n9070 33968\n64457 72327\n3554 30108\n20010 69010\n57983 91624\n4595 8739\n21398 47707\n82614 83605\n15225 91004\n5403 46493\n17091 54843\n20508 32287\n29120 91861\n21725 57007\n57241 72203\n44424 52259\n47774 89261\n32437 59971\n36046 38586\n45296 83703\n45489 74209\n13767 29669\n21159 70452\n47017 78751\n45417 63802\n60841 73486\n13799 53860\n57065 67152\n32284 61186\n4081 48596\n10220 74028\n18399 37654\n80599 84204\n21522 61753\n18688 78420\n50508 80196\n14218 67508\n2908 25895\n24821 51604\n59349 81798\n59014 67718\n73693 89411\n18116 79357\n1193 51461\n23304 86324\n11448 95232\n22994 80543\n10368 65133\n21909 77410\n15125 76811\n13848 33013\n46030 73179\n23934 45683\n14183 98523\n13707 17912\n17263 97351\n22756 74925\n42470 74033\n62904 68870\n37249 64737\n3569 43307\n24666 47506\n30981 33619\n72142 88551\n46015 64300\n65414 70121\n963 61749\n52268 57909\n78952 99531\n5222 33353\n72408 92484\n25636 49815\n1079 63597\n6071 28891\n12425 28369\n67935 83292\n8068 39040\n34787 89573\n55249 65390\n24109 94995\n33699 56789\n52960 64286\n11873 45554\n73336 88703\n3416 96586\n22886 93775\n24278 44397\n7352 87490\n41556 57020\n71630 92888\n37443 98631\n89183 92804\n15282 27021\n792 12266\n25781 70219\n49715 68640\n40159 45029\n32465 52594\n2990 18902\n24812 34686\n18558 47924\n23588 27471\n19998 76151\n66240 96502\n8940 66989\n22909 72150\n61071 78565\n58197 62900\n3698 25297\n8878 46608\n11012 77622\n44957 59639\n37459 65870\n32488 41884\n393 82877\n15540 42743\n24535 65359\n43722 53910\n15663 28110\n26993 49253\n7064 32037\n13708 46327\n64794 95616\n14754 96628\n79199 98622\n67443 95561\n13125 47979\n3860 50235\n12336 14432\n71264 97366\n21156 72646\n2090 29197\n4888 66054\n27515 35152\n52374 69373\n40182 98077\n68064 82674\n34538 56528\n47272 56913\n44659 98850\n60525 93554\n73386 82421\n73870 82157\n6111 90433\n5808 36807\n85792 99376\n25952 73990\n52817 55035\n33024 94643\n56355 93886\n29035 56791\n19070 64631\n59341 84584\n73895 84000\n21612 44051\n30193 64707\n40718 57175\n32702 86417\n60271 87393\n24760 86245\n49660 57415\n15107 46388\n12782 79570\n54506 92288\n69419 80012\n28224 79133\n30730 52463\n7203 36995\n31503 37225\n21747 87866\n40345 98150\n11691 75035\n5672 67732\n6665 12787\n72735 96706\n69602 93904\n27148 85631\n22948 32075\n2238 64944\n6673 93084\n33751 40892\n1370 37421\n11470 14142\n14272 37424\n9566 16175\n37716 38347\n49700 49746\n25027 77580\n35641 63293\n32250 37339\n36533 49591\n33868 75328\n21697 53189\n5672 54541\n68437 83779\n56644 62965\n86801 90726\n84320 86951\n16214 66747\n23469 33598\n14274 99488\n43530 46507\n39953 51190\n8956 33754\n62377 94681\n52814 80305\n25322 78130\n11882 98232\n39026 73727\n9062 65022\n13382 43339\n29676 40648\n67575 68879\n18240 65034\n42017 85947\n42955 84285\n24718 77641\n16432 81846\n69055 70868\n15882 20843\n24489 55642\n10773 78902\n48635 54720\n34396 66479\n53670 61596\n7824 84804\n72774 96654\n57481 68494\n66584 92738\n57024 76251\n82355 99880\n20776 58688\n29093 65160\n5862 43327\n76324 85267\n26093 67669\n6628 20666\n10357 19383\n48852 76280\n76384 85484\n459 47741\n11498 76563\n30768 44474\n20902 46067\n59407 67064\n77221 99999\n22031 92568\n60820 97952\n40960 52186\n23381 72396\n25549 58266\n74236 82915\n5113 31470\n6804 18936\n15933 61653\n193 50315\n40701 66956\n11961 54221\n46865 66024\n12150 95490\n41141 45090\n46265 57819\n26177 96066\n27756 88540\n5199 17741\n45069 91474\n93735 95589\n19094 52676\n52205 99929\n60088 84699\n24382 38902\n86857 94356\n7518 35702\n29577 44530\n20179 88935\n16059 37975\n22379 71814\n78877 94073\n57588 62935\n39663 49927\n22711 56837\n77068 77223\n72567 97807\n53105 96997\n13017 79328\n31905 67408\n38863 43715\n55528 65918\n47113 65085\n84055 92222\n77504 99028\n20208 96679\n18503 33845\n57306 57693\n23418 58230\n78401 91329\n72483 90202\n79358 81739\n16902 26769\n41562 58482\n68038 94695\n6450 86526\n17057 79810\n51338 75978\n63113 92108\n48322 86199\n74749 84149\n6014 39486\n74259 87022\n74884 79294\n50299 99456\n56202 65710\n57163 95886\n77076 78071\n19511 33525\n26569 88302\n38446 54819\n65562 72772\n30944 59707\n80828 87018\n15272 94081\n86704 89228\n5116 59934\n34735 42591\n41230 85056\n68661 80852\n229 97244\n31874 88538\n46341 59296\n65148 94618\n15821 74482\n22261 77845\n19903 45555\n4833 53557\n39895 83265\n18107 94284\n1406 45954\n19708 26528\n18510 82504\n52134 53787\n2457 48217\n52830 92875\n43031 83749\n41396 91874\n39556 69493\n56856 59126\n14365 89586\n8445 46524\n23955 65270\n4667 48299\n53735 80316\n88351 89690\n2246 55735\n44912 53939\n12057 52713\n3824 33435\n30242 50946\n17217 29503\n13234 28794\n20956 55059\n45238 54591\n79016 89185\n26923 29874\n31769 77580\n15034 98775\n484 76841\n71825 72308\n247 16912\n65200 66163\n40372 96072\n76094 81062\n39158 90871\n9825 71554\n72656 87202\n79964 91518\n75732 93537\n19962 29963\n80503 94041\n42009 63251\n27754 76166\n71089 97429\n16305 70974\n38117 65761\n9183 73517\n17896 99440\n54785 89733\n56996 73603\n25404 41881\n26609 39782\n54575 70633\n14552 86252\n68153 73542\n14530 91695\n16118 30009\n56362 95174\n22639 86662\n76949 94459\n2651 46668\n46714 64282\n18986 50845\n86970 96110\n36836 81086\n65485 78128\n7737 82688\n23405 40602\n59622 92293\n35713 83280\n13543 67352\n4426 99417\n75355 79559\n45791 87986\n20242 39414\n28608 41015\n84396 87804\n82386 91296\n28626 35859\n62576 73518\n23659 35992\n32662 94236\n25994 60807\n30524 46304\n3280 99216\n68840 80934\n3872 79896\n68045 90473\n56529 93712\n538 57421\n8546 45806\n65609 94018\n14262 85112\n44669 68663\n62985 97373\n49664 87508\n43640 92953\n41914 52697\n21712 63074\n52083 64121\n8150 22919\n57239 85359\n31947 66303\n42830 60912\n35583 99059\n72347 73083\n81696 97802\n25836 96664\n68781 89847\n25839 70058\n24355 52605\n45522 77452\n17017 47220\n11965 80356\n46307 76516\n21924 93834\n30703 91391\n17795 23836\n87241 96893\n14801 80304\n63349 73781\n51540 77910\n37493 42178\n10483 11822\n72545 79864\n90579 92521\n35143 67291\n58875 95831\n46366 84460\n24098 51571\n26608 66904\n2261 40985\n22043 24343\n41985 88624\n58631 99186\n420 52690\n16407 43158\n10436 22048\n1876 91080\n81240 98055\n42335 56784\n7793 42869\n7118 62569\n43666 50517\n50812 79316\n1885 77623\n62813 99045\n88029 90185\n40912 94913\n24225 43557\n23738 50008\n44154 87206\n24141 68259\n43791 78465\n37937 56162\n4288 68953\n20875 51817\n53758 90713\n27201 49515\n37111 41575\n41364 96742\n53601 59221\n49752 63254\n32031 74661\n26257 38520\n39031 45498\n72039 88992\n27133 95024\n4662 69504\n18220 87085\n56532 97195\n60774 81787\n12571 97343\n16855 64828\n13443 19554\n51616 62729\n1335 49094\n23138 64873\n56284 60177\n13745 95029\n13727 92036\n70482 92636\n66094 75594\n560 2365\n22378 28641\n63835 98440\n5444 10070\n9374 68395\n60977 75426\n53085 71650\n80403 83393\n62436 76816\n31563 66824\n21249 48939\n6485 93385\n5556 92366\n65059 65983\n67434 72738\n92787 99169\n5548 74193\n3926 32805\n61064 87442\n31712 81765\n87029 92884\n10951 35537\n10012 72714\n23997 27082\n58977 80310\n20499 36675\n70163 91008\n41926 61906\n9730 46737\n12484 90606\n60471 91705\n27118 71810\n49538 76918\n29705 39226\n6271 38867\n56860 74185\n44789 86978\n8819 31139\n40347 53809\n46565 66037\n26655 53528\n34391 61966\n15828 85060\n4274 14644\n68128 85676\n28361 97300\n14047 29088\n88653 91904\n5406 87298\n3749 83056\n36567 43629\n28065 43668\n5235 31376\n54363 83427\n13245 78226\n12000 50324\n18621 80059\n14805 31970\n5529 43884\n13691 29479\n8303 80154\n480 63086\n20851 35661\n7483 53909\n18051 91056\n64668 76240\n47647 52654\n29830 42026\n52754 90129\n22031 80023\n13242 88035\n23730 86910\n24396 76077\n3805 40487\n41225 56636\n13 15402\n50340 67350\n31563 74253\n30729 89527\n19097 50050\n33063 67142\n57716 92697\n83895 98856\n53400 56131\n17399 98157\n28694 59623\n858 94029\n24618 68474\n33457 80430\n68643 75528\n11012 75938\n30 85325\n3264 5039\n21257 95496\n59691 91322\n40579 57332\n13215 78246\n23221 41867\n350 47218\n22018 28254\n3694 21449\n27517 80116\n34963 83670\n30794 94807\n75116 88549\n71698 95105\n53807 88308\n33027 80813\n24515 33931\n23698 90790\n36498 75981\n42355 61552\n13982 79564\n41719 80168\n7073 62190\n29622 40832\n4480 48663\n21926 96429\n46956 78907\n22208 57935\n58304 66587\n19228 21149\n64849 85944\n21210 61630\n80894 93807\n29422 97841\n28435 96559\n8275 15327\n35132 58594\n39795 82054\n32347 52722\n49864 72846\n21321 55876\n58451 89440\n36880 45200\n42161 84435\n48942 82431\n7556 67689\n24707 61809\n47014 65834\n48459 54806\n62366 74676\n13187 83329\n52108 59812\n15212 91097\n80393 91899\n5298 80893\n12301 32273\n57225 70139\n8801 94486\n40870 47934\n15110 18601\n22069 26968\n22684 79981\n26975 86072\n3712 66835\n2494 30103\n51637 93267\n12114 82905\n65713 68759\n13520 21629\n14064 35640\n36597 60636\n55969 82042\n3380 68466\n1430 94495\n24926 43354\n36201 51477\n1686 15285\n2166 71803\n1121 27323\n51624 85755\n13245 74155\n49462 76512\n38388 58511\n34803 70568\n85338 92926\n18489 30445\n10183 47441\n40168 69445\n63027 67754\n13900 53646\n42510 43235\n16984 93375\n38752 72879\n36958 40974\n14183 25632\n19866 28974\n24738 49351\n16973 97079\n9664 83544\n20862 96630\n23040 95380\n6069 52686\n2470 24167\n46467 96164\n40744 65258\n24013 26559\n32616 41410\n71817 96315\n205 99183\n1701 59420\n5305 98564\n2292 81560\n5568 50006\n4380 68288\n17788 76183\n40391 47922\n5760 53094\n16938 83778\n8927 41237\n17254 85517\n2870 83789\n36235 45488\n20233 58290\n16654 95508\n29021 29057\n20949 64370\n3906 88629\n67976 83486\n59041 77651\n48915 54312\n65155 80964\n5757 40033\n12688 61175\n11755 72846\n72684 92209\n8121 60043\n82829 96399\n89382 92504\n6608 76880\n27740 54270\n21911 61496\n11400 84096\n22975 67962\n31058 55190\n49695 53758\n10269 98981\n38148 67543\n40299 73491\n35965 57736\n8761 34228\n17425 42910\n5761 89934\n20971 45363\n68458 98842\n27230 67036\n28948 35412\n35631 42947\n25655 25742\n1576 81203\n4377 77124\n16741 49388\n11247 88681\n75695 93812\n10184 65095\n8239 47514\n17381 73221\n20855 86669\n34160 73449\n42510 53254\n71364 87438\n9668 21852\n28829 31012\n42888 72897\n65342 78432\n20332 79015\n22803 42756\n9005 14820\n4228 36775\n56288 61599\n12731 50050\n37930 97025\n7410 66996\n20287 72114\n11626 56430\n11433 30892\n82690 95926\n50159 80261\n6530 26942\n3701 88948\n2171 60605\n50622 76069\n454 74090\n19150 66990\n1238 94713\n77612 85225\n8443 61336\n7458 94921\n26030 80628\n10150 18629\n2531 59461\n45205 55793\n32348 82214\n17846 29412\n8766 24303\n7203 97666\n59501 96359\n43442 63323\n62233 68130\n32493 94500\n81396 83338\n42544 75540\n48187 61343\n1314 20956\n62540 76276\n37853 74293\n1656 76741\n47700 91229\n48298 79164\n9355 22104\n5617 28166\n18960 69002\n59484 85640\n32005 46136\n58739 81018\n40020 79451\n65300 76900\n53046 64982\n2791 82537\n42256 51850\n52978 83828\n36491 95068\n7693 41355\n1698 81923\n19271 27606\n30774 82688\n11553 82742\n10942 44254\n87824 97390\n607 91064\n37416 51135\n51013 68244\n17134 29043\n44643 71478\n23758 69871\n25720 77488\n32422 97972\n42838 53716\n20145 71774\n28635 49381\n7446 49206\n69998 78527\n3781 62506\n39640 79059\n17165 22689\n33942 97033\n58635 92304\n11477 11804\n12541 37470\n50982 59847\n33066 60988\n43938 78535\n24774 67621\n9533 94908\n38745 98101\n44904 95522\n8764 71105\n39403 55242\n32646 65099\n29714 33072\n59483 66042\n4678 38841\n81505 97315\n53579 87743\n8233 96633\n10074 77185\n40790 43025\n23680 53272\n2944 14585\n50337 77466\n61117 73834\n22961 87563\n12267 94543\n12734 93888\n25250 63157\n22344 43125\n12267 54306\n13766 27871\n1336 27170\n50011 84619\n55172 62256\n34815 44076\n74993 77676\n46613 50618\n17427 40294\n65736 74268\n30264 46040\n43776 69129\n9909 52794\n35265 59323\n65855 74924\n18348 64337\n20092 60173\n23136 43975\n4249 40426\n18969 26333\n18497 93864\n26623 36129\n49430 69359\n57567 63547\n41065 42437\n31383 99955\n75726 89451\n10367 79816\n35335 47289\n1679 8666\n12588 34165\n12583 96640\n24231 69134\n50804 71030\n6783 24390\n56370 62950\n4879 22820\n68260 88873\n47736 52470\n65782 92943\n31203 83362\n8345 52400\n44496 56238\n9223 83031\n626 23486\n93272 94627\n36854 94172\n33839 74789\n39165 72232\n37578 75997\n61994 78369\n47292 54043\n72965 88935\n39272 41847\n32139 69782\n35853 58904\n6509 65291\n36587 98753\n70 90799\n74608 84248\n67256 94057\n39434 39873\n52532 89391\n20997 70379\n64136 68064\n57715 97944\n6045 85161\n5849 29501\n39289 95228\n2340 40081\n43368 84144\n12027 51714\n20594 30743\n5561 30952\n21927 77407\n34403 91090\n24807 50361\n32163 33369\n20799 57324\n58427 89836\n17596 66396\n75209 75342\n45765 51091\n42146 55115\n67051 90035\n13138 47440\n19012 41328\n4709 94333\n20493 41007\n8831 14313\n76178 80358\n76554 88387\n16955 81850\n57452 65651\n4341 63920\n2773 31124\n10506 99693\n11975 78712\n24581 76708\n3108 84472\n70363 88202\n48347 81545\n33716 42276\n31644 81564\n44103 99923\n1197 28616\n28001 67780\n11962 71746\n58691 70447\n332 20490\n49588 68406\n14085 67570\n6360 49508\n28178 98687\n50073 57220\n72937 89398\n21887 90244\n1843 88358\n25289 32108\n3633 67292\n41833 49568\n21345 75672\n63105 86466\n4135 24345\n16496 35681\n25632 28852\n88334 99110\n10205 42811\n32283 38671\n17102 64175\n19134 71555\n3602 67179\n39793 46780\n66447 82436\n70971 73898\n48828 88469\n1430 89126\n67098 93612\n12272 37586\n24825 42766\n25532 83557\n35763 87118\n61877 84544\n58466 68423\n2035 51012\n30183 83343\n64463 64553\n14298 25542\n84530 98387\n30140 37471\n28819 32786\n14226 71311\n68448 74653\n28589 55186\n29727 60091\n7115 52936\n59061 87459\n2211 19083\n38004 85185\n13943 53760\n2877 95147\n9073 75041\n25071 43744\n41916 60943\n18048 48002\n14806 85539\n874 87036\n27519 95863\n74527 84414\n79040 82576\n44403 69085\n44851 52854\n17348 86222\n38000 54537\n3117 80290\n5977 62424\n12285 34151\n19704 57540\n25176 59564\n6496 61438\n24189 39689\n45904 55928\n31701 37158\n9318 14605\n71389 94348\n20156 49138\n51308 91164\n10431 25286\n84818 93772\n8015 23929\n6137 26025\n26151 73180\n5531 13898\n7121 82834\n78197 92711\n656 82663\n2697 39744\n25906 49772\n14069 99161\n17359 94706\n38431 67864\n26365 32218\n17835 33557\n4761 18826\n14563 65083\n3122 68947\n27545 61936\n26625 57174\n9052 53449\n17210 94576\n20152 22717\n1776 90999\n33646 87973\n49998 95394\n43963 62566\n58609 95658\n1140 75051\n9339 34196\n29569 96580\n39995 54706\n62821 67942\n13242 95359\n73858 86911\n34464 85430\n32887 86646\n42506 67779\n73711 78988\n15563 37351\n47126 63365\n8110 69478\n64514 70699\n60154 82960\n14149 58294\n1005 69000\n33431 44252\n11775 14998\n57526 82024\n71290 83679\n4790 7604\n86412 89369\n4035 16863\n59931 67600\n89192 95118\n4873 98031\n12325 99913\n91378 92509\n49450 62924\n57725 92061\n48831 64075\n11261 83286\n13211 38713\n20283 46751\n71927 73293\n55688 62707\n66726 67002\n15191 59536\n37851 85969\n15699 36837\n61262 93915\n24107 99046\n45318 83381\n28236 68413\n13690 84886\n42153 80660\n6515 27382\n4195 39405\n2907 49450\n30611 95351\n34066 85633\n29830 42112\n28751 58599\n32314 52345\n82697 89983\n9834 40650\n15261 95401\n66104 92348\n15900 66068\n64414 82811\n67184 98392\n2394 95562\n85194 98570\n26822 69630\n14911 53471\n9642 87573\n35778 99984\n12800 89335\n5901 43405\n39354 99469\n26907 30644\n61381 85070\n14493 86860\n1957 46914\n9606 36642\n46670 94871\n7164 72941\n49224 91165\n31166 31352\n22890 95095\n36240 68623\n21785 84170\n85397 96184\n65135 78259\n23674 53277\n9828 85604\n44137 83914\n8506 37649\n2701 90028\n7190 45162\n34880 69223\n23639 57140\n34508 64656\n27042 42332\n13633 86836\n6427 61445\n3 85891\n28734 50615\n24564 78492\n53147 87380\n44672 96251\n12766 38713\n19460 91189\n72585 94875\n32365 55253\n70551 87408\n45939 77985\n37454 57582\n30724 98861\n32181 76119\n17755 69405\n5657 41648\n53575 94995\n13451 78775\n12161 76763\n26372 57747\n43326 51740\n21700 59172\n16578 69047\n43484 87683\n67257 86147\n42149 72314\n45108 68985\n20118 21786\n38776 44348\n403 99560\n9709 40299\n20207 48317\n30824 48589\n55709 97661\n36300 59951\n25655 35028\n18238 67282\n62774 64288\n11334 58264\n33198 97595\n6765 16994\n145 60072\n20874 21853\n8081 10461\n16234 20885\n35031 41185\n44427 76690\n16554 63054\n14250 73425\n5100 80044\n8935 60779\n1156 57243\n53337 84006\n10838 65414\n54014 92959\n37932 74453\n24766 44644\n3974 55827\n87862 87909\n13271 84679\n11322 65531\n44671 72019\n76402 94177\n39588 44372\n19949 52070\n8063 56911\n40478 99104\n68682 89703\n18971 96095\n35293 61455\n28441 57704\n31503 48281\n56242 95165\n16567 83415\n63832 81468\n342 31742\n34607 37218\n78574 85757\n68840 83735\n32123 60565\n73514 96116\n546 33931\n5171 57760\n32614 55174\n45967 91102\n62250 84722\n34968 49472\n59082 86941\n1912 62473\n44671 76620\n19711 25095\n41198 61647\n22529 59481\n20064 41300\n3002 58046\n26831 28435\n49177 90152\n21836 22371\n7598 98150\n14509 85353\n3675 61772\n46762 72841\n20463 25602\n77997 78184\n23900 76936\n87803 94605\n34053 70993\n20622 52195\n46436 86926\n39007 82140\n10846 57922\n7778 31540\n6026 59079\n25705 32574\n55421 67455\n25853 42755\n19891 30338\n32439 75139\n88157 94610\n2934 88484\n1957 85203\n1189 2711\n64773 72759\n12995 62680\n57192 71380\n28923 73978\n65771 76491\n6760 98368\n39165 41127\n10943 85545\n562 5657\n7210 22014\n56732 59721\n38822 97941\n42860 82469\n40072 47946\n61900 89578\n16394 58761\n25465 99441\n2669 29991\n60148 83035\n121 47920\n27762 74411\n39094 97293\n58061 76648\n54324 58859\n80800 94245\n13911 58279\n960 69597\n28569 40110\n38027 57611\n46125 81186\n80847 94160\n34747 35707\n35365 86509\n38796 84499\n16056 59309\n26744 78735\n62017 93466\n14772 20397\n56096 82787\n52317 93933\n17434 39073\n7670 31270\n40063 83125\n42404 77160\n14887 90971\n33479 87885\n21878 75938\n70812 72765\n59953 73630\n61048 74461\n14705 37789\n97002 99557\n39892 60524\n17926 47220\n3998 76707\n39581 69209\n14453 83021\n15832 73871\n19021 93801\n55772 69732\n18055 65542\n25939 98948\n4822 76811\n47197 87872\n11544 63880\n30242 33374\n17527 41739\n7504 13466\n45478 97273\n22064 96457\n6437 59404\n58431 64067\n16593 76557\n3027 82658\n44207 45340\n10395 16974\n19863 66242\n7380 42167\n10017 59616\n4326 71373\n66897 78827\n27111 73664\n70981 88020\n23843 33307\n55598 85606\n26377 60043\n51545 62325\n36073 80735\n37767 82069\n18211 77424\n26124 83841\n31999 40994\n69048 91442\n9399 39482\n22019 37610\n25901 39036\n45481 95027\n94930 95497\n10665 65823\n58628 96027\n42970 58825\n73460 91591\n33343 35797\n38257 47960\n60722 99263\n64067 75133\n56284 77135\n19792 81040\n57759 79039\n37158 41216\n15842 55296\n22127 64473\n38349 67138\n11263 30260\n2025 35658\n34550 35708\n25680 91042\n25644 50670\n41733 83040\n16150 65853\n73368 77941\n52321 58288\n40391 74094\n38087 72686\n14712 71653\n35856 39909\n33785 81277\n84008 94876\n8403 31125\n45853 63048\n9036 39155\n5922 36041\n84164 98290\n77649 82868\n5051 20623\n7918 11561\n43532 60302\n37287 58967\n19755 33669\n27700 54284\n50540 88656\n36379 86721\n86108 86961\n59463 72970\n24664 65291\n15462 63972\n83192 85073\n61368 93358\n64898 72311\n21860 32233\n14917 50716\n27094 48911\n62722 67268\n8690 22711\n29213 59436\n35411 95819\n1398 65753\n46266 74274\n52162 62062\n50327 92682\n2212 86392\n25930 45300\n12716 53416\n81429 89815\n41 58196\n43675 93415\n63725 73826\n58614 97079\n16386 40474\n44383 59688\n9165 81438\n40369 54348\n60407 89447\n10531 51168\n873 14005\n5874 65729\n46769 49644\n17310 42156\n13315 27718\n15548 84800\n70880 92139\n16075 25777\n24652 33133\n53724 89885\n22865 35367\n61894 99011\n5854 25910\n55720 73152\n52187 96446\n15098 65217\n41299 75358\n10991 88235\n51021 62919\n875 69289\n16483 62787\n39771 78048\n37888 49602\n33797 98736\n65726 91258\n5581 60154\n25544 41899\n18142 96799\n48951 90339\n18919 28807\n52370 59604\n8103 79848\n7108 78542\n19104 98745\n28065 38893\n42344 54318\n63970 66391\n22533 75614\n42594 79130\n29553 73565\n31966 37663\n71791 72434\n44465 46092\n53206 63849\n25105 93018\n39773 81003\n35696 66673\n13456 57431\n5853 15576\n19538 96234\n1447 9117\n27766 94443\n2592 73359\n24324 89964\n25140 71527\n11193 49514\n29686 62491\n12483 54767\n48499 81732\n17058 31446\n19259 19443\n76493 82210\n28385 29620\n4844 30116\n13258 47339\n4405 84451\n91582 98895\n25547 55467\n28859 96913\n41799 72952\n18837 53277\n48531 49687\n15563 34491\n38381 82689\n88347 92205\n23776 33255\n89584 94895\n33891 85855\n2884 36629\n6511 9614\n4678 40006\n38495 69997\n1012 83845\n26648 90737\n26939 65508\n9425 82149\n37966 73142\n32556 50810\n3751 37087\n33742 43887\n8012 81358\n46971 85902\n8507 91297\n49166 65998\n35328 87190\n40697 64992\n82064 85961\n34160 71952\n40561 95929\n19829 23973\n47852 78201\n68916 88804\n24367 39713\n26667 70119\n9925 36000\n27666 97846\n28311 62854\n10767 91563\n74893 83303\n30918 69107\n52470 91971\n74999 77884\n60668 77406\n33660 81112\n5469 31853\n26843 63999\n32359 68052\n72817 91363\n28262 71956\n37429 96095\n90329 97087\n82731 86217\n60068 63500\n64096 66402\n18463 85086\n552 95543\n67493 80917\n7721 87496\n23420 98717\n36867 57517\n39133 91367\n635 13877\n41507 76257\n9583 71680\n11071 57964\n69770 85736\n54886 64357\n49757 63054\n30250 58767\n66913 87864\n7495 80172\n179 71414\n3102 96072\n18494 99045\n24275 40057\n990 44343\n15658 79120\n43150 78542\n28354 30804\n3661 48960\n89041 97614\n11221 30803\n16482 64502\n29501 97571\n11411 80223\n27661 54099\n17294 91577\n20660 49852\n47487 84910\n21706 63426\n2733 6426\n27030 68388\n9887 67688\n92376 92689\n851 4078\n17192 71488\n53864 68379\n641 40238\n25677 87852\n4124 46299\n19368 89415\n53416 65609\n48528 84604\n18024 26903\n41035 44932\n72431 99857\n7422 77200\n42489 56232\n9386 22554\n50621 83100\n10647 51106\n48814 66503\n18658 41336\n30294 55060\n3450 94330\n54933 77924\n11268 64276\n68237 86546\n8208 47105\n30917 67993\n31835 40075\n16271 80802\n28138 29136\n55593 89801\n11468 98764\n75209 82771\n63336 74891\n31675 78311\n7744 12262\n14621 55446\n49727 92653\n1038 9677\n43517 95857\n32339 70309\n16030 21415\n24888 39966\n12132 39596\n39286 74418\n18034 89863\n29463 34084\n62986 91561\n59479 69851\n28887 35882\n17497 56790\n17493 57748\n22985 27432\n83693 87268\n54599 58201\n17462 93465\n1899 29439\n12942 62851\n12155 13974\n27452 61878\n9091 9628\n28482 87251\n39752 72977\n27150 55353\n31449 64288\n9552 45041\n73243 93789\n26128 42213\n59126 86970\n42485 78914\n82235 88612\n58338 59996\n5962 74241\n54080 95921\n37993 89078\n1939 83314\n75860 88410\n32369 81902\n3642 23240\n67989 80440\n14806 91824\n6616 80414\n10115 88258\n19925 78553\n9069 34465\n22855 58035\n15351 65753\n23346 94781\n17117 74355\n99016 99037\n30134 31089\n24785 74213\n15659 47945\n13451 97713\n26758 91900\n11442 69160\n20760 59553\n60154 79128\n39718 78724\n5669 69388\n6674 9257\n85989 95678\n24477 51216\n3892 21942\n20513 94533\n16972 90575\n40049 79223\n13004 28136\n17292 28355\n88816 92441\n25831 59401\n52076 63232\n5635 76146\n89602 96684\n55289 74386\n75896 85826\n31804 78774\n5444 82319\n5981 68493\n21321 41655\n22624 69584\n30169 60690\n71829 99567\n56422 80357\n16442 40594\n21950 25580\n7609 19269\n46744 95310\n67234 92746\n52077 71169\n26686 26967\n56986 90089\n26363 32467\n61961 99534\n51566 86768\n68087 75648\n58040 89283\n21984 72819\n15871 68347\n359 98683\n83226 91863\n44884 62607\n44319 83920\n50064 98819\n17007 79591\n81142 86983\n34633 35148\n65362 76942\n5817 29671\n42392 46387\n9105 35141\n47625 55185\n38129 89458\n1164 16062\n51702 56170\n11408 16318\n13454 44129\n32694 48537\n1637 22693\n40301 74680\n45449 67914\n6481 96919\n9338 73746\n14835 73246\n21787 36676\n51402 65181\n8808 48716\n69652 75313\n23378 67857\n66074 79855\n770 62741\n22715 62585\n24984 37592\n9048 51998\n11088 78931\n21837 43370\n176 18505\n49902 74884\n21435 52304\n25936 70062\n3133 35986\n35982 52016\n73286 89597\n58551 96258\n19374 84281\n58840 76882\n57487 94818\n6912 86629\n22361 87038\n18453 94001\n86627 87156\n53323 83902\n26776 72983\n84314 92096\n43578 63656\n106 77556\n22338 58781\n10656 58113\n15450 75322\n37913 86774\n68798 93505\n19207 81277\n48401 85969\n15582 55287\n19008 23339\n7135 32937\n12244 47448\n47411 78264\n28271 99351\n43245 82731\n23709 92072\n64658 80129\n3491 89699\n29959 63605\n50950 92875\n37364 51846\n60418 60612\n48285 75323\n41675 61451\n30264 90572\n65552 93557\n27074 53738\n23645 66199\n7810 51252\n23384 69174\n35824 37291\n26673 67976\n16798 66100\n14012 30739\n31551 72368\n3129 46286\n39102 85915\n47072 82563\n18968 86452\n58444 98383\n70710 98314\n69606 73247\n40898 41314\n54634 69627\n45526 45795\n57749 85110\n9577 11236\n57970 87383\n37200 41186\n35502 99723\n22529 86337\n15753 94447\n43330 45841\n49588 65449\n40773 74219\n38637 58500\n46449 84361\n48564 64722\n48301 63752\n21042 46990\n40115 48639\n35261 37231\n22696 39258\n53931 75999\n70088 72057\n17090 60153\n53836 74154\n77184 87753\n29386 65612\n48308 96478\n3795 51908\n12277 14592\n19991 93617\n22114 58605\n5521 36253\n83947 90944\n5658 57611\n13508 53196\n19028 31817\n81975 85201\n24450 79517\n74503 88231\n37646 53256\n55251 95233\n23112 65025\n42524 67082\n62848 69040\n66839 98696\n3138 93668\n35440 60439\n46879 47211\n46505 83660\n65478 69748\n85388 90173\n26967 88099\n48924 98232\n14048 91961\n90030 99120\n75018 86628\n46004 93859\n25536 35018\n51837 76807\n13626 70662\n73077 99094\n46694 90361\n10849 29650\n13077 21073\n3316 87334\n40444 80821\n19200 96622\n8065 59635\n55614 94214\n30111 32573\n23083 36788\n12653 32542\n4224 84360\n22977 98082\n28469 62556\n34714 76981\n43061 99829\n633 5673\n7646 92498\n11579 82755\n37778 70104\n31791 66720\n59292 98078\n76566 77609\n47220 52067\n48809 58670\n34309 79108\n24532 94400\n19587 74978\n70951 91170\n27480 78301\n26445 68895\n2588 17121\n53273 89386\n41200 48589\n61308 73991\n24192 54987\n58150 91071\n4614 70406\n61738 68265\n69729 78149\n35696 84780\n14442 18746\n3070 84951\n7419 51880\n40643 44636\n84266 93647\n3704 9340\n43360 68505\n17229 67964\n31603 40765\n15009 79500\n38729 95329\n31655 93018\n32268 48487\n64125 98491\n5846 26841\n8257 9794\n8655 92388\n56950 66068\n30951 85952\n15226 21100\n2778 75384\n33407 57995\n32559 44117\n5088 41210\n54671 65536\n47581 52936\n60628 67632\n7179 91333\n70528 81730\n33060 92474\n9159 96858\n41920 51249\n47645 98798\n31340 80914\n23637 63885\n5952 95318\n9390 52203\n28158 38904\n42255 89028\n77101 89153\n586 85287\n45857 48705\n73937 93251\n27210 79017\n17237 75009\n7147 60366\n45628 55886\n36859 53138\n17528 43503\n92301 96301\n30784 99008\n3878 94645\n5177 41352\n28481 63400\n84970 88965\n71706 88662\n1901 94940\n35601 48398\n15424 92760\n29241 43666\n7451 87385\n64162 97917\n8849 13360\n6969 43865\n75262 79932\n1017 52917\n25733 35773\n29589 56261\n95475 98567\n15828 19094\n22961 99696\n20795 31740\n19799 61554\n20981 43586\n87010 91298\n53713 86554\n53250 64843\n30346 80444\n77916 93535\n36396 53682\n6829 27874\n76577 79309\n90739 95404\n43248 96951\n85799 95036\n63400 96382\n19526 43246\n73911 88679\n28149 56718\n5281 26160\n863 7554\n37186 74317\n5603 57829\n74416 79452\n21354 71146\n35790 63428\n66437 85259\n42510 52421\n13389 61556\n75948 88477\n59685 81011\n18733 54197\n4641 60856\n57024 84734\n15950 16223\n88667 93974\n25629 85948\n15884 79550\n6048 65050\n76914 87901\n7789 90036\n33311 74249\n66018 89065\n47258 62294\n69193 69373\n15465 27323\n42100 64721\n20936 48525\n10061 62995\n64116 72052\n58638 59458\n47562 99664\n23527 59385\n74675 83652\n35369 84853\n27149 84464\n13852 29090\n20564 93461\n19128 75969\n72233 79235\n77877 93616\n2270 4331\n66711 90967\n11912 90690\n53471 86167\n65517 73271\n15156 72940\n46084 94754\n58395 80997\n2386 51327\n6305 7199\n21833 68637\n56544 66365\n13202 71134\n21364 74160\n57461 81280\n20953 78095\n32206 66408\n17368 25281\n34878 77682\n18990 25321\n23707 77045\n89291 97850\n53221 75632\n84095 85184\n41392 77557\n40329 70512\n52297 75567\n4870 36352\n34739 64025\n21848 22714\n96398 99654\n32769 72821\n38449 74214\n58163 80952\n61972 72737\n9445 35556\n5076 28870\n10235 39156\n49323 52882\n55607 67582\n12992 22226\n16740 68657\n19725 50363\n43242 85382\n18122 94300\n6945 61194\n59262 72675\n65462 96295\n6964 28545\n35463 63751\n11818 32093\n10300 53658\n66725 81804\n13337 30439\n40892 45816\n2074 4036\n14284 76413\n33861 65539\n7100 97798\n65255 80406\n35930 76027\n45075 85040\n83983 91801\n89496 92782\n87202 97747\n41007 94972\n52379 61483\n85492 87119\n62527 82416\n69534 94600\n39640 62355\n26610 29792\n43122 90184\n13062 69894\n7546 52800\n13527 98802\n43981 98314\n36792 55448\n15940 82840\n6461 26934\n34465 87612\n21282 97954\n17111 91291\n57176 72937\n59175 76027\n50154 59405\n27821 78110\n3240 68222\n52010 62380\n77264 89176\n47905 71629\n58764 93682\n55469 75324\n73457 95012\n8278 27426\n46529 64559\n13244 24583\n58058 93774\n23689 95674\n9175 78831\n53967 98737\n71675 83402\n90051 91790\n19638 20732\n53182 59643\n18597 53173\n27363 27840\n60317 77252\n70090 98164\n63588 90181\n41473 41944\n31471 87267\n21424 53732\n27813 66395\n9490 56348\n71814 75061\n38256 71965\n6454 15165\n16397 21197\n37170 60255\n148 34515\n19820 57588\n1817 47814\n19135 21824\n14954 83467\n9482 43761\n13050 45445\n5171 60096\n68092 93130\n8987 97209\n10871 60969\n5571 7698\n62770 76200\n20162 34075\n53745 96234\n44238 81414\n55361 78348\n2353 82522\n24409 61236\n245 39784\n41890 50325\n79726 97053\n39762 44313\n21362 93830\n28226 58564\n50629 81993\n27928 68574\n64257 99047\n43898 76473\n13985 48176\n36571 41416\n16399 72004\n6192 66319\n8945 51955\n14129 98130\n33542 83843\n16701 25055\n66080 74728\n35872 57015\n30821 39416\n38002 88900\n23853 66812\n2363 20155\n15480 68967\n40221 60811\n59 8877\n39141 72466\n4279 40681\n38196 50913\n57229 96564\n72195 94559\n28756 38433\n8036 48261\n6226 80213\n14196 39806\n35841 73199\n46358 87997\n67443 99677\n43745 93760\n90268 97564\n19396 34368\n25459 73240\n4925 31095\n82686 85006\n10755 21614\n79408 94901\n31493 89173\n85891 88095\n13340 64202\n47680 58223\n10788 18567\n24611 67045\n390 64312\n2001 2691\n31413 45464\n1149 2283\n10872 25207\n69859 97044\n54144 66081\n41409 99951\n56474 81664\n1203 51007\n51075 97954\n7443 35756\n2645 35537\n13919 52336\n25876 30665\n31874 94236\n45873 88121\n46862 83259\n87905 97938\n68054 82480\n9016 89247\n39605 88434\n43973 61865\n64712 92401\n57913 84064\n45338 67377\n67021 89385\n11749 53704\n4939 82111\n52338 78440\n2032 98557\n3146 5963\n41631 69224\n34417 73418\n39089 81944\n52247 95078\n2547 58249\n18390 92851\n55533 70117\n24080 58612\n47269 63687\n28469 76164\n29453 98372\n90964 95989\n25549 70308\n33539 99878\n29838 74927\n15143 23870\n33807 41874\n8977 85576\n29353 63043\n20084 42918\n39823 76471\n13633 20270\n27941 66152\n3972 27136\n11072 72090\n29173 91411\n22652 37919\n24124 43478\n22087 62539\n2742 28434\n90601 95187\n11737 18171\n39575 46526\n39759 48040\n70995 86594\n24565 65252\n93616 99509\n15573 27427\n71130 88522\n17701 54981\n4117 80742\n60025 64028\n3502 60246\n56264 59897\n28707 80995\n29764 35882\n1266 31805\n44499 51692\n14017 73233\n39984 40699\n46418 84172\n34257 69384\n82339 96407\n36193 73899\n8059 16548\n44132 57387\n17565 55585\n23837 30894\n35788 65625\n27005 87832\n64746 79228\n7948 18439\n20929 71837\n428 46166\n24168 29756\n26943 39360\n35212 45442\n19881 29931\n45751 89169\n25852 41132\n49130 97025\n70145 97822\n17504 89143\n11435 40137\n6488 27190\n38285 75061\n42756 67402\n72294 96162\n64260 85643\n60152 83751\n4159 23330\n33832 70987\n20697 91621\n7274 33170\n15245 99004\n50990 60928\n32553 65243\n5448 53525\n12840 77112\n1660 61228\n46960 63600\n69881 92873\n54307 87868\n81307 83983\n3275 73944\n63492 92198\n47303 60639\n49179 70314\n33384 55642\n2832 10773\n29430 73635\n64079 77433\n48082 54531\n22037 82956\n43186 57787\n10697 19140\n10457 92744\n65566 78517\n25036 86487\n12570 65122\n43745 93686\n65606 72244\n28527 60748\n68699 80111\n432 72132\n15028 17585\n59154 62060\n13821 17464\n54126 72351\n78847 80811\n90344 96343\n24408 68439\n23678 67118\n5841 15743\n48155 82495\n61294 74468\n30080 45118\n45727 79919\n27938 99776\n14844 23303\n175 7616\n54139 85945\n12625 49627\n45781 66760\n59213 80489\n29142 72522\n17926 26015\n28028 78102\n60317 70831\n15561 78278\n45423 64897\n35406 74285\n24697 62834\n56 27616\n33993 63161\n75019 90667\n27870 99151\n54412 56655\n17312 18867\n24254 42304\n34914 47175\n11010 68282\n53243 97717\n65573 90069\n41402 60388\n1540 24045\n13565 38428\n16161 29152\n28651 50365\n28617 90040\n4191 74428\n3981 5427\n18108 74244\n22706 53995\n15008 29419\n10020 58277\n23246 78712\n74366 87584\n3784 68769\n29051 95549\n83957 99994\n6671 47240\n4350 30579\n82725 93671\n31937 51879\n69782 89311\n20307 98662\n42233 71671\n2752 37726\n9176 69880\n3809 8379\n49088 65214\n23595 64220\n75897 97193\n91 64291\n43863 56642\n45435 76376\n58698 83047\n41922 71766\n21469 26383\n30973 82161\n32538 68237\n9872 57081\n304 31914\n23625 72057\n47154 77989\n93445 98638\n66649 86294\n3153 97006\n49983 63397\n39996 63001\n36254 74776\n50280 53229\n16490 83035\n43310 46855\n63432 81351\n24813 26978\n19429 35589\n1655 58874\n86773 94497\n34021 38573\n32085 84085\n58960 93605\n44556 76376\n22742 87992\n6960 76540\n6683 89593\n19368 50258\n6075 51387\n53634 55659\n5586 20899\n78012 93697\n62238 66356\n19154 22956\n10461 24837\n26893 80531\n4169 10322\n51227 51673\n43220 65256\n13805 47176\n5583 6624\n67831 77659\n15031 23798\n79935 82362\n43290 48786\n26451 70921\n86024 96177\n99635 99813\n18903 31851\n32223 35348\n10760 74963\n46197 56922\n25163 73366\n36950 84611\n19756 27353\n13472 98920\n39597 69723\n14338 77888\n34388 77762\n23652 76372\n46352 90373\n4104 8188\n74480 93238\n7354 89706\n4667 24675\n38896 66697\n38551 78418\n12291 54965\n33564 69188\n56808 83696\n73887 88854\n26268 39318\n56175 68476\n48729 73258\n43881 85287\n11475 46646\n6986 26207\n1171 29379\n8990 96965\n10370 59987\n36252 48755\n25554 98731\n5725 90498\n78359 97030\n56085 91747\n16307 18778\n36886 72592\n8119 51800\n69759 90791\n17569 73568\n27665 27703\n41410 46586\n1400 36297\n33545 50389\n27360 82068\n19255 81885\n46373 51068\n5044 25878\n26166 47987\n62462 98869\n8143 99659\n14480 97479\n49409 54419\n6292 58911\n1480 9363\n20284 40071\n7196 51645\n63959 78183\n19654 42376\n15569 29963\n66031 75584\n2535 29767\n24549 80351\n12615 35754\n58742 85625\n18102 38922\n70492 70730\n676 21945\n7390 56093\n33179 73552\n53382 57162\n17105 85282\n75657 90211\n28315 94206\n24683 46049\n286 81749\n21651 66841\n27092 69444\n26545 81625\n17543 32302\n1552 12539\n65834 78046\n88333 93199\n38163 42007\n76924 92200\n34876 54969\n66271 85625\n19184 49966\n4058 58557\n27615 63839\n22414 87965\n725 25926\n91298 92717\n76810 89557\n55070 96891\n42204 99689\n1938 16719\n60183 95634\n25535 47728\n22182 74887\n71662 82996\n48213 48999\n23857 87986\n14299 50703\n22319 25948\n13815 66432\n5156 83627\n31322 70261\n35816 99391\n40649 77623\n32654 52752\n18260 41203\n27898 31187\n31409 69509\n24857 25545\n58468 80410\n67518 82661\n22510 42096\n41871 96996\n32468 94713\n7931 97653\n52688 77341\n49743 78233\n21771 69893\n62097 92043\n44825 98965\n16351 66005\n32267 71958\n38551 63485\n9902 27400\n32992 57487\n66582 95003\n48261 88079\n14766 51362\n18052 31401\n102 35172\n28266 67345\n49583 58082\n24585 30855\n8284 35276\n85425 99047\n48828 63755\n13615 82955\n24711 40847\n15971 89424\n59973 60337\n37035 76699\n55143 79044\n34171 90762\n33557 57102\n10023 77214\n15344 42317\n14306 28762\n57607 80072\n47699 66586\n62612 66875\n3966 24664\n805 86848\n42572 93072\n20239 47999\n75017 79593\n86722 88770\n86275 94050\n43454 56822\n18304 82918\n64660 80267\n22151 66908\n1952 80159\n44576 78749\n5252 78831\n1654 99109\n21603 43820\n44803 54523\n7453 35813\n15867 58033\n33237 88666\n13552 39234\n28542 72456\n23723 27893\n14977 59855\n36207 97375\n3930 39235\n9902 46517\n61526 86871\n25642 55353\n16596 24899\n55374 61109\n30719 81541\n86533 97168\n35602 68552\n18038 77752\n5015 30825\n53061 76070\n17433 87881\n43501 68011\n72824 79540\n13691 34472\n17526 58621\n11065 56400\n71936 80114\n23115 99548\n18974 32461\n11039 99817\n6175 70786\n15208 51431\n64408 82717\n42892 99746\n66317 80673\n79606 95626\n9593 91609\n13522 89569\n89126 89185\n42355 63130\n30896 53554\n52785 54607\n78034 95425\n43865 99450\n24480 85073\n17334 81343\n49493 58339\n4511 63237\n26279 39325\n10913 85764\n4113 90066\n14012 99334\n9343 42345\n60845 91424\n522 98410\n53311 91851\n56 29283\n8888 17146\n15184 68125\n42403 95608\n69669 75034\n66139 71339\n35136 74543\n33534 63157\n65028 74739\n44877 65393\n39019 61442\n92615 94663\n1572 70004\n4873 43829\n14880 24991\n20185 75978\n2629 65986\n13043 58531\n19087 49622\n45732 91604\n27410 81785\n10600 11700\n40505 52872\n9998 21024\n34798 96517\n69178 98884\n50333 73939\n51902 86873\n54722 90242\n33341 73434\n2626 67408\n43974 77151\n47766 55041\n46542 81605\n7664 51413\n36844 61067\n7286 26692\n69369 79823\n31352 38339\n41922 84820\n10182 67582\n30694 80586\n63034 84007\n7999 93022\n39629 70811\n69302 80620\n8948 61558\n37354 45083\n16433 84869\n58823 94231\n1201 84165\n62098 76982\n17006 52056\n6359 79370\n8254 37550\n2589 28095\n36172 83157\n10989 43297\n43044 77981\n36351 76441\n25403 40445\n81635 82360\n17005 64614\n41421 59983\n4978 72909\n5235 9640\n71701 95125\n65593 68397\n46678 50667\n2696 89503\n80066 97708\n35525 65017\n41818 42307\n75388 83522\n10332 70909\n83835 99935\n10746 51755\n48717 84131\n32925 84847\n75074 82233\n15600 50535\n71561 87260\n37563 43993\n32858 82572\n10902 24289\n56605 66328\n39672 40295\n56624 76101\n26158 53562\n359 21803\n8933 63764\n44197 63635\n515 89336\n21130 90332\n16909 42614\n42541 90552\n35220 66989\n54797 83776\n54307 77511\n32675 50405\n41342 89802\n39799 56127\n37380 68791\n5059 9265\n82220 91964\n3265 61154\n40629 65859\n39146 80196\n52594 57946\n43567 80917\n21260 65081\n8574 31513\n7020 64576\n4665 92139\n35796 73929\n20452 22109\n12404 61150\n28437 79710\n1159 11478\n27594 96108\n54850 84121\n25463 55670\n29862 68480\n66628 71449\n31212 31289\n16585 86240\n51421 67223\n60614 73874\n19835 84288\n26701 53561\n20961 42295\n61132 95153\n22362 52094\n30112 42791\n61910 97977\n39525 55571\n50598 96978\n41625 49605\n36679 80164\n21694 85103\n41802 82204\n17249 51995\n24351 41017\n14297 62133\n1662 78310\n81931 88142\n57222 75781\n96201 99269\n47661 58703\n78892 79708\n47610 87522\n38040 67147\n15971 62076\n14754 62475\n6652 49444\n3985 48188\n49409 99770\n64040 72755\n48219 95980\n50483 70242\n27447 59187\n31394 69918\n44994 47348\n15516 61304\n36504 96161\n2690 10569\n18267 54934\n52673 96814\n46112 95546\n43560 51719\n75380 76744\n59 68496\n57333 66062\n62631 99325\n34735 73528\n10633 12476\n13158 82100\n27441 65134\n707 92885\n32154 75452\n13733 33545\n14398 18527\n28263 60475\n24170 79184\n27751 48166\n31366 61252\n83593 99164\n2437 14511\n7962 52495\n34736 96759\n20157 70728\n20928 76939\n16272 97780\n64283 85515\n9136 31031\n23625 99678\n6713 65956\n73286 93807\n8893 69116\n33891 76875\n4676 66985\n35817 99972\n20308 22994\n17247 59623\n557 64745\n29486 33464\n14365 19739\n63103 89347\n15927 81154\n34818 66607\n17850 62508\n12145 87351\n36122 68357\n17637 46623\n12993 20218\n44173 70106\n10341 32275\n32837 42648\n19854 52736\n17310 74242\n72305 75591\n32805 58375\n16616 58292\n47522 96671\n9148 71377\n14211 78169\n68675 69513\n26116 57806\n71985 89964\n45691 69572\n1477 78837\n2301 27180\n7562 98849\n60132 93503\n33897 73352\n42150 52088\n31349 38544\n8774 85390\n39643 54535\n26734 87919\n73376 79553\n6249 49759\n24223 40747\n3354 25073\n16484 29413\n44817 97981\n3254 52065\n42821 83461\n37269 66142\n18411 58440\n41997 76759\n76678 92370\n32770 70967\n53423 67616\n8305 82197\n54540 55070\n9404 64645\n11251 16705\n24365 40980\n10107 17318\n41322 97912\n21767 78236\n42333 49208\n33796 91764\n37079 65224\n92625 96296\n25881 90162\n4803 11456\n78493 97253\n40605 66526\n30537 82775\n12635 71884\n17638 29011\n29521 83669\n1111 50895\n34806 74124\n11014 13256\n16564 51292\n13263 41184\n16357 22912\n14925 72652\n48259 61189\n66278 96747\n16606 54198\n9785 84202\n45392 48415\n42471 87420\n12864 22330\n43145 45124\n58520 78268\n7880 22652\n25841 49153\n58239 87869\n17447 22349\n13601 91445\n7274 56327\n53142 90311\n20848 86734\n48984 88746\n9828 58948\n15599 90526\n71586 76290\n18857 19088\n7097 91535\n33128 89821\n14173 39894\n77251 96099\n16478 42820\n41626 79376\n7416 60193\n35853 66289\n5307 74859\n55116 62048\n24748 83766\n54237 99475\n19978 74357\n48193 66065\n38622 79646\n71602 85114\n55835 78713\n58289 81400\n25371 55597\n14642 15626\n8946 21802\n51629 98641\n37517 57127\n16244 84878\n74593 78034\n48718 57876\n7513 52715\n12026 54885\n77516 99120\n24757 33098\n41885 69023\n41643 89589\n5889 55354\n17699 58024\n32871 98632\n675 94504\n93299 98171\n39796 48267\n3195 77034\n36333 49957\n33326 74958\n44557 54417\n46353 68219\n20 41727\n28699 73840\n77286 94704\n66675 68554\n6731 46756\n59093 60578\n6304 25372\n18338 33872\n55720 84260\n43912 59849\n10674 67049\n39902 73778\n25023 78285\n48154 65264\n24531 89354\n15133 36728\n24106 71004\n48342 69586\n13979 92037\n37427 42478\n16307 37428\n8370 56865\n62223 71625\n70846 94578\n13082 73834\n16926 21725\n11971 84677\n45431 70318\n12942 22115\n38118 76541\n3385 11789\n32099 70624\n2711 68853\n61079 98364\n44012 54833\n39675 83663\n19744 32424\n18418 99323\n48730 78866\n74845 96382\n22742 33749\n28999 82993\n21431 67024\n27733 80835\n68765 74669\n73748 85358\n23699 93376\n75519 77893\n66248 96787\n13589 36479\n43983 55161\n34907 68330\n43362 46357\n40549 60842\n72406 75289\n51239 88148\n75229 82460\n13962 78501\n29585 41242\n20353 80870\n24677 31804\n23777 30257\n23809 44810\n16952 59778\n70265 79788\n13863 65192\n48405 72805\n8226 57682\n27095 90134\n49190 52091\n5454 85451\n44440 77125\n21419 85242\n63374 80807\n63092 73026\n30428 84006\n18555 39159\n5123 42316\n19234 32970\n28282 63505\n36962 61679\n30923 93624\n27484 80722\n76931 80708\n21304 88348\n31321 72628\n55429 92941\n13210 20399\n25661 42597\n16087 38633\n54849 86328\n47422 75223\n85523 94509\n49700 78160\n13964 95667\n75269 82679\n18571 49399\n50224 63765\n26483 46111\n56424 90959\n13663 22406\n37290 38283\n23858 82011\n10510 21070\n50590 82799\n20590 38991\n36981 51871\n13521 30164\n490 16012\n47687 96305\n32054 50325\n44135 47269\n29014 39052\n26504 26514\n68072 99086\n12523 23093\n9755 90650\n75133 78964\n53160 65590\n21838 57927\n52715 53470\n80546 90015\n75986 88364\n61555 87362\n8258 36828\n28961 57801\n2499 34965\n13899 36449\n35272 95555\n39234 59908\n8485 12685\n66641 97905\n34018 80242\n2012 94670\n53759 58051\n32666 75818\n16645 99521\n7758 85133\n12713 42508\n6543 38127\n8208 18129\n86772 97657\n57319 59274\n19199 61524\n39039 74612\n35775 46139\n17689 29119\n18954 97840\n51046 71994\n19931 43796\n57173 57652\n14672 40144\n12002 46024\n2162 14379\n14430 38732\n27995 32106\n7431 14487\n16734 78230\n4074 98039\n14765 45679\n20567 62797\n52248 83784\n25398 98571\n9222 9968\n29530 70527\n18288 72603\n91937 98843\n4590 40983\n71199 72665\n19456 81688\n10065 56618\n20702 43810\n72032 96089\n18729 80413\n24761 82512\n30481 63629\n26552 82091\n35901 45111\n45343 50735\n17584 51863\n5186 31041\n76501 90881\n24273 53990\n49897 88476\n14837 79970\n48494 54426\n13237 65857\n2648 30694\n23135 59627\n46000 46217\n49045 91505\n12850 64230\n24354 51106\n2866 96287\n9175 84462\n4871 84325\n47290 88402\n59647 61970\n62788 69977\n56390 58015\n81733 99932\n14242 76880\n26025 44822\n4874 34671\n11229 68981\n46626 78165\n89642 94491\n38345 40615\n41736 96456\n17484 53068\n30032 66754\n41843 54210\n26048 37860\n24662 94036\n8543 18555\n7390 63325\n40740 49829\n85391 96095\n89112 98888\n5280 50831\n62059 67683\n36150 52552\n20993 39558\n12023 53171\n24492 41237\n62430 77970\n41758 73159\n44160 86474\n19889 60013\n20883 98740\n56844 88878\n74399 92851\n1432 68911\n41661 55623\n37611 68037\n10294 63801\n22452 75513\n30958 68443\n49040 63698\n32671 82258\n19719 66496\n38092 62103\n17894 46896\n66552 81690\n48636 85548\n44967 81551\n83238 94104\n6595 78002\n9677 62654\n9777 11290\n46532 86303\n10426 67506\n52352 98240\n37203 76669\n14897 24581\n63148 73538\n14237 31589\n45008 76349\n56053 64170\n88642 90018\n13830 36258\n58740 71433\n37936 61920\n10154 25851\n27226 34059\n11237 71772\n16802 37599\n17425 43544\n63268 81183\n39229 93677\n41420 73053\n29333 92215\n51494 89505\n65942 84602\n76103 95061\n31535 78674\n14402 82956\n6348 99239\n21583 56671\n11346 84347\n1165 49621\n53573 88937\n26451 96769\n3153 23632\n17911 64180\n38511 52287\n29961 49299\n4075 38861\n44567 51108\n48354 83523\n12054 22801\n63077 74944\n16517 26940\n22614 93142\n9923 65386\n42054 90352\n35644 42968\n12508 45084\n4426 31430\n19314 20809\n16697 21708\n21639 52534\n45517 59634\n31799 46222\n40932 81443\n38289 68590\n25462 71854\n26339 99233\n20459 42542\n37057 40645\n38673 72018\n19538 61028\n7845 88079\n13583 16326\n10859 98222\n4592 67576\n15095 29205\n49142 54908\n27756 93461\n27337 82785\n40819 71586\n10353 55335\n6232 37908\n63838 80233\n8671 10330\n15176 25614\n45293 62478\n48949 66573\n6282 59635\n22488 99744\n25596 37069\n56642 67992\n32939 84062\n30727 44281\n53829 99490\n31171 34685\n58996 71805\n9883 77399\n46217 75763\n43849 79287\n32127 37126\n33327 58982\n60061 77526\n42978 82240\n2995 70502\n55319 60837\n16748 65495\n22871 48459\n52000 97669\n10236 27941\n9535 19232\n40982 69745\n30693 65542\n11919 72631\n18773 97678\n5893 47293\n46655 48758\n15061 59388\n83763 90370\n34259 38120\n17288 63258\n43209 97575\n48531 54911\n32685 81734\n75343 82685\n10423 11908\n11962 75788\n70017 94652\n28152 46554\n24424 83429\n34627 63236\n20763 42707\n6908 46919\n67518 70490\n68692 71752\n48095 50123\n17917 86438\n35678 85354\n18911 68301\n69353 88675\n17970 76348\n35376 67425\n27047 85384\n28306 76481\n18863 93677\n10954 23979\n22941 91270\n19573 71161\n6517 28802\n23553 76945\n2579 32404\n16331 20074\n7348 37769\n20121 45956\n38643 75315\n5804 48438\n46866 93168\n3421 5016\n15816 90714\n77983 87275\n12428 97942\n61192 75621\n5571 85169\n61309 73341\n9427 15324\n29476 38877\n22662 55145\n34896 72045\n31913 65658\n5548 56253\n64885 86251\n61733 84747\n44544 49338\n12512 54054\n66630 76351\n31617 87652\n20719 93081\n26005 55455\n76037 83194\n73078 95716\n22155 91376\n20765 44388\n23075 89042\n68891 86049\n904 967\n19254 80545\n38275 84112\n49960 98704\n52425 57283\n43338 69906\n64161 98751\n3286 91672\n11575 97885\n64292 70126\n79739 85566\n22824 71650\n75349 91891\n82854 89079\n24765 92016\n40236 87148\n58421 94426\n11919 35782\n26884 60568\n5568 85391\n17971 30478\n48669 91536\n53366 69164\n25392 90957\n14933 76019\n5166 59504\n34038 36092\n23492 24272\n19449 76882\n42984 88527\n34975 84992\n74755 76300\n16111 28350\n70787 71364\n40588 47456\n46846 55754\n84237 87522\n52118 95485\n25764 28271\n16369 95412\n45591 73199\n56994 61878\n5653 45629\n28518 66788\n57846 80534\n14522 90585\n48809 62271\n57690 96945\n23003 97542\n21539 64921\n68673 95531\n14756 41305\n6491 70250\n28812 62621\n21167 85629\n34393 81489\n41043 46506\n11085 25732\n25652 46304\n22368 42811\n36763 76015\n39842 96090\n52194 92141\n30148 54825\n36158 81232\n30916 93076\n11722 88079\n40120 97961\n13659 78834\n68786 69683\n51879 58512\n10603 33709\n29246 50108\n4633 76888\n1313 44255\n81632 99964\n18333 71888\n30301 75157\n58191 83716\n17052 70884\n17377 54929\n40305 50434\n59473 80688\n30554 84803\n86329 94836\n150 69334\n9767 88987\n77752 79509\n60095 60278\n80316 93687\n35784 99363\n36760 50321\n72654 86827\n27499 39490\n1386 91336\n22213 55280\n13179 18737\n55398 63073\n738 79334\n23847 70881\n66318 70930\n61944 76274\n17526 39505\n39530 74564\n40652 61242\n66135 89429\n42283 89249\n25124 88691\n7218 76238\n49411 72688\n12855 26624\n15644 42740\n85879 87660\n10419 15103\n81188 87510\n15317 53894\n6453 92462\n71433 78610\n66765 82136\n34382 40376\n59992 71904\n94324 97347\n56459 57310\n42569 89430\n44093 55182\n4838 19594\n63429 63472\n89291 91017\n90974 96143\n93397 96731\n95788 99446\n5534 27882\n51450 72158\n19651 27321\n74122 86592\n14903 50920\n9208 79960\n46064 61918\n9401 31543\n44219 69555\n56266 58594\n15594 33236\n47617 91319\n70588 99534\n31907 50054\n35042 35528\n5317 7368\n63797 95171\n69168 77795\n38951 66618\n9701 85622\n69706 77435\n23838 83787\n16200 43307\n16443 68200\n50703 83181\n48450 54679\n7175 98333\n18207 44162\n51611 69370\n66779 70032\n12136 95825\n50084 79436\n54566 86475\n78587 98367\n19795 85070\n31416 34593\n7811 42278\n55258 94738\n61007 91401\n4193 94081\n56350 79863\n12794 13947\n9920 62512\n36438 59447\n20731 63740\n42280 72707\n29024 77592\n8381 74112\n17283 36703\n5024 53336\n19673 27647\n40179 61888\n44862 85794\n17767 65489\n410 36291\n49455 79326\n45072 89707\n4042 7264\n37379 47249\n4018 55498\n33447 77910\n4333 98724\n96043 98715\n58440 74339\n75154 88667\n28986 88786\n42025 92705\n1882 61190\n31959 52562\n92 4224\n8423 79030\n32276 71143\n57886 86156\n35184 38076\n90165 92757\n29803 86894\n3468 74631\n44481 89083\n3205 19623\n83456 92800\n50222 92732\n33194 94768\n10530 79524\n26255 31230\n11705 53744\n20829 25490\n60591 84575\n16587 55604\n38835 97302\n29295 43097\n661 8067\n6420 93901\n24039 95296\n39278 67288\n45503 72694\n23691 44971\n51617 78857\n32550 45253\n29926 88680\n77972 99753\n32343 77618\n1988 61868\n51383 83360\n37693 72251\n9441 91847\n18648 31099\n25597 54861\n17167 74431\n12534 43170\n48202 85263\n25838 85106\n24682 63163\n59741 70873\n25158 25394\n57003 66894\n43875 92549\n34533 99254\n56915 75501\n8040 54601\n25777 59452\n61140 92871\n2480 63244\n3573 61370\n3844 26727\n4111 81821\n26229 55458\n41855 87621\n22492 43786\n23121 90365\n28396 45222\n660 50493\n40393 76479\n67803 82038\n48552 60767\n38659 76970\n36858 63540\n55417 99617\n10325 38631\n32771 91126\n6286 73998\n23830 83200\n32736 56360\n72898 76183\n9653 68436\n48526 77688\n16689 85687\n3293 66579\n3127 88930\n90541 95156\n1454 28984\n87214 87376\n40745 96135\n11281 90200\n53738 88072\n1739 67744\n8933 47242\n31598 71924\n19512 39374\n37175 40154\n21881 39894\n8158 65826\n38206 42626\n61200 65543\n55628 84308\n1066 30415\n72549 78638\n67240 79929\n7176 41056\n45969 59813\n21812 40491\n51880 65738\n82846 92815\n5250 81567\n76190 89442\n1093 73766\n59702 90420\n13883 59698\n42777 77306\n14148 67441\n30907 41866\n64218 78097\n37167 92821\n7844 89495\n11379 31874\n18573 32253\n30605 46432\n34504 99477\n48809 60394\n19572 96784\n77312 98743\n9800 27238\n14506 26767\n65558 81192\n6785 79290\n58206 61516\n64195 92103\n33555 63247\n13787 69097\n70289 78838\n49538 81899\n24897 71826\n66216 81815\n14248 57273\n15657 38824\n46402 84882\n19789 66295\n7967 43102\n12917 86145\n52132 57367\n25871 58164\n51507 99988\n40805 84911\n33793 94139\n30174 77873\n67066 81866\n37515 56649\n33575 39476\n27977 35397\n35475 90605\n28005 61517\n58950 96544\n37816 51989\n1932 20943\n18735 64716\n55105 61750\n83407 94507\n48533 65748\n7723 24745\n63107 75361\n73271 76620\n4622 31928\n39795 85494\n36006 48316\n23772 42004\n4698 25905\n14544 28489\n11437 85743\n29770 80539\n26480 53537\n10501 59060\n46219 96037\n14764 75131\n41206 59037\n57840 61917\n72882 76222\n30739 98954\n22679 95771\n89759 93303\n7175 26833\n56337 63318\n50276 76412\n4288 91597\n9313 9733\n53097 58977\n28936 56388\n35878 98614\n30130 96311\n6652 62577\n19766 99271\n21803 61187\n26393 41093\n58324 99888\n48681 64335\n28579 32130\n65251 87613\n19452 99080\n15008 33473\n10786 36437\n16637 45722\n48827 70631\n41989 97094\n42766 85757\n4882 26590\n37062 46218\n12958 83558\n24106 82728\n31823 72359\n16769 99608\n59490 82311\n26010 29017\n6234 21638\n58565 89797\n46110 75402\n30370 97444\n67496 85128\n21328 69290\n42788 46093\n27386 31260\n43596 84931\n23517 23979\n10278 74431\n8387 72136\n44049 85179\n24332 61391\n19009 95568\n16467 62471\n12152 62866\n33731 51717\n83564 87121\n28570 93898\n41987 91483\n35132 82887\n83116 93903\n66513 88892\n57014 59936\n16667 72292\n51187 63877\n9325 32564\n17157 35620\n7016 50294\n12214 64010\n42677 49685\n40329 79816\n47061 62911\n35626 44946\n32940 45292\n54336 91967\n7744 40080\n24222 72520\n81695 97381\n7736 66391\n52847 59155\n35683 53263\n9152 18735\n15853 29208\n16950 73895\n7351 65264\n11166 50393\n40165 62942\n20379 42452\n69617 99693\n22365 58058\n75306 82683\n45337 88560\n36084 76048\n32747 58842\n74032 76747\n51750 66171\n61168 83832\n52460 93981\n30010 84554\n4823 77968\n1928 3968\n44818 47255\n41379 75896\n32565 66367\n30476 80165\n61205 77666\n22481 94242\n26174 49275\n64265 85685\n11382 41948\n2088 61260\n15779 70464\n67454 84790\n8036 60822\n13799 16939\n5741 10429\n12864 77536\n94928 96679\n16528 77917\n27557 45020\n6380 67924\n15784 94134\n67586 94087\n69005 98248\n14688 80700\n34212 37139\n55395 69965\n25326 31369\n28563 35947\n76557 98838\n3035 88865\n11657 56111\n61563 77625\n8868 28226\n31476 58017\n51273 85964\n50252 65062\n61144 96909\n52274 76828\n38174 89657\n74010 76825\n14536 42441\n10315 39090\n37018 41271\n35813 37286\n68795 70597\n27902 57517\n78354 85751\n28856 90510\n66111 72042\n23015 94784\n3790 35898\n73042 77739\n62408 69085\n69408 88202\n33722 47468\n1068 56909\n48896 74475\n22991 96190\n22169 38151\n2794 48210\n77140 89340\n21311 30735\n85008 87999\n84921 88128\n25035 27676\n57408 95413\n4732 95132\n39161 55087\n73382 94627\n75691 80753\n58542 73958\n3663 64689\n71811 73325\n36120 46620\n15343 94455\n41996 90478\n9355 82708\n2926 98602\n44747 77246\n12231 65078\n488 14823\n10301 13153\n60013 85495\n27845 79134\n44791 74278\n36500 84393\n1651 88633\n4554 69550\n46046 62697\n44491 95745\n13611 75258\n96627 97010\n54938 67528\n13141 58782\n60209 82735\n26449 50000\n35086 69379\n877 11318\n1364 43614\n65791 80463\n1557 82011\n35981 36637\n68157 73367\n73386 86133\n6147 79461\n47249 98571\n13491 90060\n40928 52171\n29758 90355\n14166 21197\n15957 44073\n57608 79601\n35387 39664\n16223 65877\n89086 96712\n76737 97940\n15649 99800\n18828 34301\n35747 99518\n60663 96669\n50083 71077\n79823 93527\n1673 19036\n15582 82224\n54004 66814\n66688 80973\n37539 84279\n708 85877\n17954 48995\n25519 70804\n6706 16614\n17955 65002\n51973 87310\n33541 52764\n39450 94892\n12628 37026\n68607 84314\n7014 34880\n41159 99234\n61460 78962\n14756 60068\n58086 92869\n5774 49350\n44642 68099\n3832 22701\n44388 65529\n9055 97989\n3884 67484\n38035 38319\n18877 91904\n5044 56614\n21519 94436\n51887 91109\n50764 83251\n21952 26809\n2194 29029\n33956 57232\n4094 59617\n6265 54930\n11430 67125\n3526 9169\n9160 44834\n27074 38841\n44661 75897\n16029 89165\n817 86224\n23771 97616\n687 11140\n24885 94880\n22380 55798\n14885 58036\n56885 75483\n39088 87715\n23267 71032\n26606 88984\n35582 68203\n10934 87350\n37077 92240\n50654 62468\n40740 77778\n53236 55098\n6061 54607\n21395 70799\n19810 63171\n68907 97323\n4081 52369\n57267 66556\n28365 66751\n52130 56849\n63707 65621\n65689 89431\n2293 84485\n35660 47878\n40341 46175\n152 14787\n24938 69578\n62112 64599\n28806 70346\n13547 61213\n70769 73739\n48430 54492\n33437 75539\n19956 24719\n81769 99380\n71639 77789\n22767 56937\n10224 47687\n33965 39527\n11916 38424\n48967 83117\n25087 68142\n25083 54330\n824 90685\n3792 33591\n63256 99186\n49346 88388\n57165 68908\n4725 78634\n23459 65094\n1186 92649\n34647 43596\n48952 66424\n35038 38318\n9389 18940\n28843 90689\n34893 66897\n39844 90033\n7502 94503\n36802 59979\n33187 33790\n44541 92288\n36289 51656\n32938 73051\n42957 74010\n94089 94328\n24207 73212\n9443 74727\n10446 62991\n81815 90248\n47168 80466\n27670 50797\n40649 42012\n76211 80505\n38605 49508\n9369 12416\n26363 44725\n8506 26453\n22855 63994\n23619 61480\n8964 75942\n35777 84171\n5702 15026\n61745 62615\n80333 87554\n9601 30187\n25166 61273\n10092 14327\n31319 40531\n93472 96714\n91406 93738\n2542 15769\n674 53278\n16682 74906\n35849 64347\n51742 88416\n8179 83427\n2307 16415\n66516 76333\n83873 92251\n43691 53429\n46954 71560\n18122 40204\n41596 68503\n36050 64606\n31209 32963\n27060 28672\n41678 75567\n30807 67948\n22267 31922\n5218 70335\n152 4895\n714 11734\n48289 80394\n2824 18740\n66165 84321\n76102 78139\n83895 96738\n17724 31357\n20606 28307\n65133 90523\n20994 23872\n12829 79158\n11916 20093\n3709 79352\n37079 99388\n14605 41093\n40543 56825\n5642 22888\n58573 59225\n64393 74180\n3216 53654\n34478 96355\n49817 88284\n40639 82235\n11773 41192\n42281 68970\n67983 91048\n20299 60168\n1923 83675\n9332 88345\n18507 40121\n70182 80815\n58170 99056\n46004 62424\n64425 67164\n31293 47838\n85926 88515\n39313 93646\n16948 64814\n34361 99595\n17779 44676\n35170 43946\n3191 12373\n3671 71219\n37478 43844\n34940 63508\n28700 77519\n16431 97820\n9800 85371\n64540 99906\n41588 53703\n69710 89996\n50798 69963\n40231 62021\n59007 87432\n12791 43025\n29626 67190\n44395 62549\n22067 98919\n19048 45472\n19894 62410\n74972 99075\n56166 87981\n55759 59885\n2437 15810\n41511 62500\n46385 92564\n11001 61079\n26766 54428\n69438 89453\n77473 90311\n93519 98381\n46057 56526\n79923 95554\n56301 81052\n29098 42068\n74825 82087\n62437 75468\n45312 90538\n2673 99867\n6135 45849\n57855 62695\n45427 78655\n38434 75650\n978 77768\n76534 90033\n5572 45513\n75059 90430\n40601 82243\n18406 95774\n45077 57946\n554 73481\n20529 46969\n17261 41324\n37750 89122\n10471 29613\n28022 28918\n16554 21022\n10342 41377\n27912 87539\n76629 96072\n33189 76218\n42006 73279\n33506 71275\n4802 78200\n66408 86515\n71090 71548\n69951 82839\n8280 77473\n43460 61359\n16158 52761\n8241 93401\n30917 91175\n15441 24153\n55514 71437\n76390 82605\n9299 14907\n33192 65279\n53195 99286\n16776 77849\n36475 94816\n39685 97296\n14573 86795\n5409 60367\n48085 95423\n19967 26324\n32010 52818\n30105 97504\n43588 48216\n48568 92786\n59836 78041\n18879 99056\n19984 68246\n41740 42822\n68238 83161\n5778 57020\n8522 23813\n1694 34111\n22824 35092\n10542 50317\n29029 53793\n67533 91586\n16852 28112\n7898 73324\n19735 70931\n88038 97090\n49939 97492\n40208 48552\n52234 83926\n95827 97539\n16438 78718\n18015 40843\n90497 92445\n14342 25149\n71497 93207\n78045 86323\n91008 96105\n16821 62304\n41411 56936\n3840 28940\n58037 95559\n19825 76028\n8603 41957\n26781 99605\n3824 85843\n23571 28293\n61297 92926\n23519 66697\n24501 99588\n38930 60995\n59308 88896\n46328 67124\n39517 71600\n8571 85173\n3133 20875\n44273 50702\n1030 40792\n17407 33487\n41572 76219\n20627 80455\n47649 93357\n32526 91448\n49159 98476\n58599 84222\n11732 65558\n9310 80139\n2100 69193\n37072 71560\n22109 34587\n19159 82251\n45602 75322\n39971 68451\n45101 91364\n26916 30588\n45617 73177\n90339 98553\n14278 48287\n3615 86318\n13872 86513\n218 14196\n39903 69256\n38015 88285\n54999 94730\n76432 87243\n9228 93892\n5521 61787\n42910 50161\n41646 47948\n32472 91036\n8451 67432\n15288 19528\n51247 84269\n22565 90443\n40871 51712\n1469 29672\n14485 89363\n17692 78503\n37089 80588\n10090 81319\n10319 51877\n82736 90389\n3563 76794\n6865 96558\n38945 44442\n42666 63216\n40067 80924\n33229 58061\n43155 63597\n26051 60943\n72835 94419\n62128 75597\n24869 90259\n24414 39552\n7876 55557\n95949 98893\n14585 24281\n14191 16528\n17836 99098\n29479 42179\n29802 97567\n23198 65686\n38534 46950\n15913 48206\n35840 87633\n181 2379\n13515 84878\n32944 70703\n16907 28820\n44626 49923\n24626 88043\n54100 62158\n7623 66825\n14570 65549\n55810 65958\n25876 99642\n44431 82290\n87771 98306\n49988 80256\n45598 62339\n21901 48252\n18891 90188\n49080 95377\n12342 32390\n45414 85472\n25526 58308\n68756 80156\n68878 92991\n14538 51823\n42284 70422\n63936 89611\n5146 74855\n19575 44412\n7058 78289\n10290 47523\n68630 75874\n32484 60872\n24897 88510\n7496 25729\n32432 76230\n5743 35517\n60044 87958\n14675 98389\n7099 72662\n145 21156\n13689 48778\n9934 68246\n4325 10955\n29285 48021\n36591 56904\n7847 58116\n12292 72092\n34402 51959\n36727 43038\n7737 25408\n45887 53214\n11507 45418\n59754 71434\n8935 20979\n28410 45021\n19208 78159\n15424 97399\n38854 47339\n12200 54444\n2449 46128\n19992 75344\n34044 37764\n2862 49605\n13326 26479\n9449 12062\n11650 95631\n19187 46917\n64643 69570\n19753 24923\n64518 81657\n1082 61788\n79349 96438\n4278 90969\n12236 57231\n57240 80380\n609 17231\n18795 79222\n11997 15122\n34976 55979\n9840 92490\n32922 71176\n44789 95757\n38591 65081\n11575 86460\n7561 31571\n37697 56571\n10690 91191\n89622 93784\n9300 34395\n11319 51077\n66853 94590\n54552 67020\n8304 37447\n1764 57899\n58640 91911\n51852 73164\n12354 96006\n35149 40986\n54215 58858\n55599 58506\n23011 38788\n24631 91015\n3677 11596\n5224 65543\n15748 22192\n54733 73405\n34801 94378\n47828 64734\n50053 93641\n8327 87090\n27088 27837\n47264 79091\n8923 63694\n51818 94856\n15340 56622\n3358 82230\n36064 72131\n48356 71928\n15540 34458\n12057 81580\n30952 34484\n32534 65457\n3721 16646\n19305 62690\n61145 63770\n2065 78730\n54345 85952\n43344 68180\n3591 9942\n10337 85780\n19661 90708\n38464 96355\n52398 97291\n28310 44351\n9836 75607\n16998 46778\n11646 88544\n1434 51125\n17554 44727\n26365 67866\n5153 17432\n11879 41790\n51963 95893\n40585 80390\n45825 88080\n14344 18701\n36091 99287\n66334 67320\n3364 70899\n17904 54584\n34707 71966\n47230 51543\n48931 71909\n14396 81271\n46444 94912\n14922 33092\n22309 44042\n63066 65482\n72280 88807\n61580 91931\n1365 75152\n61470 65571\n59525 89359\n13574 55218\n14673 41171\n26334 41721\n48252 52001\n7456 12900\n4706 99776\n40115 71537\n15920 53578\n63615 85533\n71296 88037\n88054 95899\n4391 75812\n55275 72220\n52769 93308\n67226 97147\n21502 33255\n47547 56774\n39812 89667\n59996 68910\n16646 32717\n53746 57460\n1415 59234\n55073 86314\n66174 91491\n6624 67964\n63210 77032\n90400 92367\n18621 70139\n4466 93319\n42494 57441\n75442 98145\n83986 96863\n70947 75504\n7042 46992\n25018 95244\n35408 57804\n76691 82315\n6271 32145\n55075 87365\n43628 49963\n74687 98884\n1193 18628\n7138 71706\n37758 73718\n15083 63688\n22002 43430\n7177 86952\n35858 49436\n17324 56504\n65644 68102\n44701 93453\n31803 52279\n27598 64126\n50739 63922\n29062 84704\n76913 92221\n26095 50129\n68552 76987\n25659 77178\n49323 81592\n67424 88925\n28036 36074\n51213 55350\n17922 62735\n56834 66803\n37394 77921\n44273 82825\n61585 84420\n25415 92596\n18001 43756\n27949 93454\n15415 79742\n66980 73841\n4749 72286\n66559 67251\n22301 37378\n46993 66961\n53188 93668\n27699 59133\n12848 71910\n15198 80923\n46085 80910\n29803 52420\n4595 33044\n71151 78075\n66020 80421\n52883 84197\n48389 52714\n90507 99068\n2892 46942\n15299 78344\n5480 10404\n59004 76076\n19729 20176\n7 24216\n8860 66456\n5910 29077\n48548 56199\n11757 88269\n93694 98670\n69968 91669\n68688 92027\n30450 88492\n62804 85725\n40677 74196\n9555 92648\n6812 53469\n41086 56081\n63141 79005\n12816 18952\n10188 58105\n2443 64243\n5778 76613\n48431 51437\n7509 88303\n26294 76735\n35300 60094\n51758 58654\n5994 39829\n73711 77852\n83220 91790\n18337 63181\n14419 20725\n70823 75536\n28064 80037\n43123 86376\n78734 94552\n23094 68157\n199 53355\n45270 66419\n25646 47751\n15840 80356\n26789 84702\n33035 59004\n17149 18311\n9952 83967\n30297 73057\n3261 80037\n34712 79975\n33965 84607\n20914 34504\n11333 37342\n5751 20235\n28613 38629\n19061 73491\n17156 65015\n6442 76110\n38188 88211\n49686 76300\n5564 55164\n42846 85341\n53443 98905\n50950 87680\n49612 84095\n50555 93881\n54590 77571\n10167 68390\n47384 49464\n64269 93432\n11734 20960\n5994 33007\n13917 99715\n17022 97432\n64482 72564\n35009 53199\n34847 74083\n34736 98419\n90166 97239\n17001 72216\n27884 81109\n78898 91003\n20942 92265\n18453 79236\n5878 98417\n66340 98348\n5548 9652\n82388 94332\n61385 81915\n19738 75655\n38299 68839\n45971 68322\n12381 34824\n5352 63440\n24223 87296\n67996 84113\n30255 53942\n26253 68232\n69308 77238\n27593 34393\n14764 28766\n8687 21815\n3702 51852\n6271 7783\n24370 50715\n35926 41078\n51210 89259\n1533 99141\n50271 68830\n63143 69042\n40459 45921\n2028 59552\n40168 95873\n7408 89868\n20462 30158\n34757 52773\n80865 83707\n21138 41665\n43327 62068\n12905 89115\n25756 99541\n2705 21858\n47152 81449\n96358 96723\n9465 61214\n58247 68537\n22059 99217\n21717 49854\n11614 70346\n44839 65686\n9567 67983\n5366 5543\n4037 85825\n15499 22146\n39153 73860\n19844 28480\n47966 98394\n2289 58793\n15612 66844\n37749 72861\n64663 83171\n28325 90590\n63192 85049\n50982 71553\n4477 42444\n1543 64830\n26114 55185\n74657 84501\n38897 44136\n28716 47298\n51249 95545\n23588 53452\n4741 49350\n34122 58764\n61475 85252\n33266 75266\n25763 26336\n15705 41428\n53339 67261\n32016 61119\n32061 76980\n60080 74163\n964 95762\n28724 52218\n50939 67133\n71624 90658\n72949 87616\n77802 88433\n61778 83045\n1237 2833\n65874 68190\n53632 71987\n47454 61205\n42460 68767\n17730 90387\n598 8908\n4253 78482\n8418 81002\n12086 64289\n75738 80074\n34700 61288\n17361 26995\n22006 80036\n34639 70207\n22281 61651\n1181 12260\n54199 65722\n14296 23045\n34643 42177\n28941 89330\n3767 23831\n5546 91090\n42669 91236\n35765 75448\n38454 91885\n24940 64985\n18653 83535\n74123 81508\n1392 59458\n57985 61995\n4584 87291\n28684 40688\n62038 73203\n6358 50800\n1586 37442\n76278 91806\n39787 68819\n10747 99819\n10950 56453\n47947 50423\n12567 84626\n86803 92919\n21639 59322\n24982 35277\n7720 79262\n4794 95654\n60562 79515\n51393 71399\n4837 86948\n8957 84868\n69500 85276\n43571 50725\n52248 82681\n84896 87891\n78124 79491\n29694 61735\n69465 83266\n19145 89111\n20732 88556\n11703 43276\n2630 93529\n10497 80200\n27980 35792\n13098 18261\n2080 88389\n31337 46652\n93006 98774\n10149 24366\n8829 99406\n57748 67936\n63046 90180\n30429 98331\n3538 30543\n27348 72223\n38355 66762\n8053 69993\n41051 91158\n44069 78392\n53360 79994\n6063 44023\n3968 36018\n69770 70621\n38525 65720\n31779 96910\n19242 89564\n45918 68030\n21342 90533\n42258 80857\n59823 60941\n57605 99301\n42377 51770\n9362 96257\n8063 48125\n7616 81007\n36725 59494\n48472 49976\n14872 73084\n1857 15569\n95140 96674\n35137 39983\n21034 56378\n55068 87723\n13349 19448\n33652 87015\n26333 71732\n35020 72316\n25499 35222\n26598 99041\n70965 88109\n58492 84439\n31907 63714\n3966 69132\n64224 91053\n48151 91469\n4937 47759\n38576 91748\n4786 51465\n42079 43677\n44597 81019\n51673 79976\n10147 42753\n10841 48246\n25922 49015\n7771 31576\n31930 76835\n12384 92917\n11614 99698\n42961 87509\n29633 87773\n58333 59844\n3367 53888\n13605 80339\n46715 58428\n20316 76981\n14900 56431\n81847 89384\n70979 91029\n37044 88968\n35063 56978\n19530 28304\n47898 87471\n23810 28192\n66702 93490\n85970 95765\n215 74382\n64360 65475\n28791 89804\n75081 75197\n27686 94729\n41125 55408\n66428 78693\n29566 29874\n24731 86192\n29614 98407\n2427 6878\n2952 16396\n22570 81355\n76446 81585\n32934 54147\n66200 88012\n16324 77555\n71949 87526\n26243 78285\n60500 83468\n42971 44706\n5410 27626\n18195 86956\n9892 82386\n7988 53465\n8831 72978\n21575 68288\n83011 94340\n55580 72722\n52464 86512\n7118 70923\n70073 93798\n78409 92341\n4204 61599\n57284 61578\n58696 61365\n15214 42432\n39053 60156\n25918 41476\n53807 63549\n49044 86333\n54155 60814\n10307 17454\n41647 66031\n4108 23487\n19364 47107\n15908 92271\n23518 99097\n90157 99257\n92926 93947\n3746 13656\n3726 33360\n38932 90446\n71676 81536\n35972 78911\n14308 33677\n7485 14304\n29284 64784\n84921 93973\n13167 99259\n50338 54400\n25186 49390\n5120 66828\n41427 63012\n93172 95120\n1131 14148\n41861 44299\n9535 82565\n56907 75998\n36890 52493\n9543 91801\n65875 82411\n26040 69678\n47230 56028\n23820 28721\n35305 48877\n48056 88932\n15358 29151\n39569 54154\n21368 59926\n23160 83304\n14944 88318\n25782 47322\n60280 99232\n28105 62462\n14124 81817\n9258 56534\n33333 49825\n11877 78068\n51030 55474\n17096 70214\n22071 83161\n76267 79856\n27004 60039\n13965 65890\n18491 19325\n30182 60956\n51860 95036\n14888 21733\n63375 83557\n10918 27601\n18067 77192\n47310 54476\n9848 79879\n39526 87781\n21024 30388\n25500 41125\n5444 23370\n67957 94349\n13136 39239\n34146 37498\n62910 75765\n31901 53605\n2244 61604\n9202 86631\n34060 72019\n36178 67610\n31578 98107\n23350 98536\n13723 71848\n48360 76999\n10396 98964\n48223 62003\n42675 45515\n22063 60562\n22087 58815\n24661 54382\n21633 25396\n13889 74653\n18021 72142\n28904 52983\n90996 92344\n14379 55138\n13111 62670\n18479 81016\n45196 84828\n3866 27087\n4201 89963\n30573 47517\n6164 24712\n10995 11896\n67129 69722\n59295 91144\n20017 66294\n10171 20513\n25332 35742\n10874 47282\n87846 87912\n35016 44538\n3471 6580\n18988 57437\n25875 95573\n90867 93422\n32604 98490\n1137 85158\n36046 47836\n9082 39345\n13131 19729\n36579 66337\n22750 45668\n3218 28205\n93255 93952\n5931 35934\n51867 93256\n10399 12766\n78007 90604\n8977 88853\n1306 38726\n10184 55294\n62798 74393\n7462 98374\n58378 63291\n4477 79491\n72304 93741\n26243 42762\n69297 84803\n73854 92692\n24783 68393\n27759 70465\n20488 51524\n38725 99695\n52602 64843\n51744 88833\n24126 51815\n23190 62358\n97240 98953\n37897 43636\n67889 95105\n40080 87332\n36698 99948\n42829 68162\n47406 68342\n41355 48427\n56674 99479\n79488 83908\n38760 69479\n78503 86637\n38004 80879\n34618 82552\n30367 74416\n17807 23301\n7342 12729\n21837 76294\n41056 88584\n19475 97742\n92354 97450\n13883 45138\n36032 77303\n6420 40013\n20004 94370\n12465 21516\n68230 70805\n35137 81102\n29389 82773\n337 97719\n26127 62149\n49438 52205\n7918 12530\n71900 84271\n26364 68277\n7220 54565\n32124 37039\n4223 63486\n21322 90362\n549 13590\n42637 70894\n5168 7577\n35470 78458\n4082 24414\n18075 43556\n78246 90294\n593 36546\n43416 48208\n55124 94012\n60161 95065\n4085 55828\n76603 78482\n48694 79651\n10532 88738\n41185 82152\n8750 62403\n66753 98132\n23052 60338\n4931 71906\n23058 43880\n11723 86752\n38809 67988\n16803 93159\n39840 99796\n36481 50059\n69364 85152\n15641 85804\n19098 68463\n18473 47448\n4726 29772\n32112 75650\n50877 92941\n65779 95050\n44926 77157\n75695 97273\n54463 82954\n31195 46461\n22375 30607\n50775 59705\n34193 68722\n62377 89430\n5448 74898\n74152 80025\n9438 39260\n49681 73515\n27482 99032\n18197 52288\n33970 92762\n11159 87101\n30283 74054\n6456 57350\n6307 18357\n24400 78271\n24070 88752\n1816 18006\n19998 31303\n52471 66734\n2188 56852\n6556 25696\n20152 76837\n45826 55323\n40231 64005\n61538 88945\n6363 94734\n51318 92406\n30797 56807\n26181 64756\n66128 69152\n49763 60578\n21169 83694\n11738 77784\n1219 8789\n85560 95001\n6624 21514\n33386 37516\n18631 90812\n1272 67624\n15134 64322\n55313 78763\n13667 84303\n35548 51150\n5953 73103\n63433 82077\n1156 63854\n1391 78964\n7197 71450\n56945 63804\n51311 69516\n60450 65612\n5324 63667\n52006 82922\n16353 19437\n89077 97092\n30845 52763\n55513 68241\n4584 56576\n66704 69994\n8463 67970\n54694 93657\n6149 37209\n14646 21781\n1058 19919\n29321 39289\n30102 75525\n5405 26022\n22401 78215\n8291 19864\n2608 27165\n24828 44783\n37966 62506\n19007 34402\n14133 16100\n2066 67819\n58934 71787\n62047 75012\n44132 62642\n59469 70881\n3129 94578\n36924 38245\n75788 95334\n16212 66356\n9038 82884\n74177 91236\n44204 47529\n4693 52713\n25380 53436\n3842 95777\n82877 86230\n3310 6414\n71601 76099\n31785 78211\n23620 70246\n29527 56128\n47129 97512\n26313 42411\n84463 87810\n10304 86362\n8756 46056\n47601 92029\n32059 62864\n17702 58890\n91361 98284\n9457 79606\n28135 67719\n30939 98659\n2713 70301\n13256 55885\n22558 35620\n79468 87301\n30142 94322\n64015 76386\n1372 6004\n43097 80015\n2053 11232\n9198 66343\n24042 97573\n55720 56546\n8321 9300\n38814 74139\n5811 65828\n24489 88695\n22430 56639\n53501 62535\n42000 47333\n21429 89370\n12711 15275\n61581 65922\n24021 78449\n42599 58766\n31929 67055\n4071 96124\n16172 48402\n65465 78961\n70030 85531\n75839 83755\n33873 89230\n59318 74743\n42925 72544\n16086 84844\n3658 71432\n27966 37335\n53004 72399\n7668 13271\n36712 37601\n3741 94780\n63459 66451\n40916 57309\n47347 51305\n34122 52627\n11482 97602\n48465 50520\n16389 65805\n25711 71452\n3782 73497\n92055 99114\n72687 91904\n52002 56892\n37011 78725\n13204 44981\n61708 93890\n10577 71520\n53735 72020\n41005 87576\n66862 96447\n1719 24416\n67201 77351\n23409 30118\n43680 52362\n65696 92501\n21830 48673\n33401 35891\n22483 57791\n21490 53161\n56932 99849\n13435 61319\n1558 64307\n49322 98181\n16485 81055\n60547 82818\n10154 31930\n2672 34841\n17340 86785\n40205 78751\n23193 27511\n5990 31410\n48952 62542\n14077 45753\n29036 36801\n29452 80798\n50535 54290\n8752 60497\n16805 90412\n5062 97728\n22531 78868\n92036 93436\n14152 20725\n36037 46301\n3014 26838\n66981 79579\n53562 97582\n37161 62996\n51574 68333\n2534 40782\n15366 63436\n23311 47346\n44492 72419\n7041 91038\n65777 93027\n840 72124\n29601 65132\n26198 88469\n16267 56370\n33143 46410\n8625 89277\n4395 22506\n50898 90645\n761 4308\n29692 35188\n78829 97468\n23697 65056\n2853 15174\n32101 48494\n24662 69676\n1077 13883\n37138 60965\n46811 63461\n10368 54896\n676 45695\n2456 34107\n19174 68792\n60239 67617\n13304 32957\n6524 61114\n62550 82053\n15038 42680\n16061 40195\n10252 28981\n35782 84660\n47861 56149\n23766 87813\n3070 43640\n7074 26998\n63871 87640\n45719 60776\n1701 31209\n51765 88981\n33235 58906\n32680 73905\n61173 97972\n2063 28239\n28418 90842\n23443 74586\n2588 74592\n7713 83060\n20439 56842\n10779 65755\n11569 27060\n20075 26535\n40073 74995\n229 83775\n16913 86256\n150 96567\n63563 97504\n15393 19524\n451 19445\n31870 91212\n67358 93898\n1661 25192\n11900 68452\n26840 54774\n4561 41901\n2683 52788\n34546 54510\n40716 52946\n15453 36220\n6902 72099\n19356 20168\n18943 39217\n3950 17987\n34964 90040\n45090 72414\n33735 73291\n43219 76368\n5789 33489\n9069 92911\n41429 55115\n47163 72304\n56870 75321\n23770 73127\n27435 72250\n37362 44222\n68234 70233\n20271 70155\n44710 58657\n10614 45113\n58666 64594\n26771 42542\n57587 68709\n21127 48862\n50330 89870\n63486 71414\n5224 31415\n29804 40420\n41722 68997\n61249 95850\n11999 87589\n59991 68309\n3366 64642\n16195 27737\n82259 82401\n47866 97675\n44177 52554\n45206 61594\n68629 97488\n47535 68291\n29826 72951\n16383 27920\n74716 91217\n14945 54137\n22468 51723\n43015 74575\n62458 82141\n52371 88077\n51312 72203\n24454 89062\n65395 91894\n11762 41458\n3600 34643\n28679 40030\n70916 83141\n13254 67223\n52494 55801\n47474 48516\n54382 79683\n48566 71376\n18378 77088\n73700 85617\n48605 85707\n46129 86332\n55303 94652\n7550 83468\n2892 45324\n50917 62809\n34286 38730\n25674 33271\n19154 95162\n38098 74438\n1275 9666\n26960 99594\n70085 99691\n10913 14850\n40346 93896\n2512 89073\n20211 29243\n53736 65708\n3970 73889\n12734 75129\n3063 25054\n91737 99468\n20955 75085\n37335 87861\n53913 59294\n8858 90464\n31468 75704\n20091 27221\n23148 70755\n29172 34148\n7704 62717\n27501 65475\n18057 49755\n7445 14596\n23236 86038\n39653 43634\n29976 62777\n14052 34396\n41279 77225\n799 92127\n34488 47730\n180 11868\n17436 90242\n13393 56292\n27647 39401\n4229 47936\n13756 61614\n818 69708\n45538 61289\n60880 63171\n33531 37674\n11781 94297\n65921 94892\n3717 78461\n30377 75986\n9378 83903\n84717 92475\n5088 37472\n30304 61145\n55989 82641\n31017 66338\n43300 56457\n5949 43442\n33739 53450\n24038 68336\n35032 99760\n43760 90898\n72641 76921\n15513 21648\n54992 86388\n498 35416\n17277 84310\n3778 40572\n38443 60675\n19948 85347\n2513 87951\n4450 21289\n45178 71300\n15486 65570\n45413 75671\n40513 99375\n17099 59454\n17322 44539\n15553 25671\n58880 97071\n3817 81451\n7396 27050\n15675 97316\n12674 50391\n33146 72551\n36435 95995\n36902 53090\n36679 80489\n66004 67897\n59046 82017\n10968 18572\n8809 89279\n43880 78349\n82125 92525\n56780 74596\n63110 97620\n79303 84261\n43456 68177\n7747 12418\n5536 41037\n2491 21129\n15362 59600\n16769 33990\n17785 54783\n7674 19482\n45715 91209\n3349 70026\n62038 70573\n70540 77451\n87240 89035\n40338 89707\n58180 67266\n36125 73667\n37717 45756\n8107 37177\n24774 81411\n18038 18746\n52131 74362\n967 62770\n2017 70419\n88223 94656\n41898 52152\n7655 22509\n69815 97150\n28142 61650\n45833 68852\n12653 99771\n74706 89462\n44027 80015\n38925 40939\n23588 37255\n30372 94878\n8244 51626\n44023 67582\n62129 87502\n34429 45693\n31786 31827\n15706 78894\n63523 74621\n10543 50611\n74257 91516\n4511 74340\n549 5189\n57300 72502\n14973 72173\n11925 82445\n55061 74063\n48239 66800\n625 41801\n33803 40505\n80911 91680\n22178 79980\n2287 48915\n3032 66613\n47153 58049\n25868 99312\n52494 88189\n20749 56405\n5186 57032\n22783 90151\n44696 78311\n56437 72730\n68616 81544\n4225 94062\n8711 55884\n63973 97676\n15926 60577\n5567 13921\n29308 85854\n4558 61810\n70007 70800\n80204 94791\n68456 85886\n38067 57552\n33395 40579\n39579 42720\n30978 87533\n9548 25296\n20391 61074\n7447 44972\n65525 93397\n32297 42297\n33256 66956\n79118 85599\n1882 73267\n4616 47779\n14110 16674\n96847 98665\n24878 91462\n20734 65302\n17541 36520\n26679 27729\n17539 81576\n4278 99605\n61185 86648\n14922 60831\n12698 99841\n55808 73200\n1829 47094\n51883 92352\n38023 77590\n13876 48452\n28426 36188\n21530 76852\n10254 57141\n50981 56648\n48043 61420\n44496 83136\n17149 92382\n16953 20282\n42260 62237\n26323 77997\n9707 71671\n40982 84205\n16518 55467\n39610 44310\n44408 58362\n37157 70833\n16087 54618\n1403 97549\n2791 39108\n56751 96258\n25263 69400\n12395 92224\n48691 78725\n27751 91240\n53105 81860\n34959 70500\n87515 89123\n28483 65221\n95950 98793\n65486 75724\n24604 45756\n6127 55383\n7910 94256\n31157 59898\n16204 63707\n58505 97457\n23028 23624\n21776 42359\n59184 65924\n77332 87242\n70061 96022\n25041 80056\n20681 84051\n21164 45668\n67460 86420\n5520 15790\n13548 83367\n67593 97007\n18508 87237\n69497 93069\n15015 63649\n1387 53163\n15411 35321\n36954 72686\n32501 85935\n14744 87395\n48185 93950\n43412 96742\n33907 92645\n51820 59648\n12858 19479\n9028 18121\n9555 62308\n60241 92061\n19259 51737\n11075 58116\n8065 54470\n2443 40369\n42600 67987\n15177 99700\n32297 49668\n9160 47489\n24942 84682\n38503 57866\n71716 87012\n43789 57303\n32198 88929\n34765 53119\n25585 46495\n46215 58895\n60354 89179\n65429 73383\n29722 94934\n43998 84787\n93596 94348\n26621 68396\n21275 75069\n17555 69457\n4263 63278\n51910 88604\n43144 54335\n58795 64135\n43008 50636\n54012 84870\n27270 86477\n7320 99802\n18899 62527\n34222 92698\n2042 47223\n47054 72189\n2250 50035\n19935 29286\n20153 96463\n66392 89439\n7341 87704\n2793 81476\n11654 89238\n5817 14574\n69399 97773\n82149 87291\n46086 62517\n30045 49325\n40861 49413\n71477 80548\n14978 99617\n73239 81679\n11650 45386\n704 90538\n38161 38197\n7119 50355\n42014 58493\n40962 74414\n6561 60733\n29849 48472\n2945 56004\n13620 50211\n19274 88616\n2041 29441\n22376 29117\n37182 40205\n19611 55706\n7670 93189\n12038 43700\n3628 49337\n27833 50607\n17512 94331\n16625 86632\n27238 43992\n97814 98118\n47104 67717\n18562 65074\n3888 41712\n85639 91534\n55762 81832\n47999 68067\n22965 99139\n4152 14640\n45886 98681\n22204 63690\n52100 78707\n48902 53341\n36922 92777\n55535 97144\n19218 42749\n1297 52661\n68563 78697\n35753 79496\n84145 97766\n21315 34853\n83370 84842\n25735 67685\n33344 69617\n15360 50851\n16199 25796\n47915 68417\n23215 91055\n64036 92278\n5541 22434\n43002 43198\n17165 42969\n41042 59741\n61666 72879\n70064 85451\n31305 89971\n11032 22186\n30531 95227\n19999 32418\n77746 89460\n73794 75730\n41386 43569\n3205 6676\n10251 92145\n58366 69996\n78031 84343\n47905 79119\n63933 76052\n10057 16427\n52495 79877\n4919 69749\n22798 28371\n15893 31236\n24246 28399\n43998 83175\n23662 39798\n42035 99032\n36725 61209\n31822 59570\n28245 51480\n69818 97919\n8636 52450\n91470 97084\n17795 77256\n9599 65388\n20423 48233\n47667 78901\n27010 77045\n5156 88657\n95819 98709\n63471 65689\n3164 14745\n33835 71687\n56753 81230\n65382 76116\n14923 45535\n57731 93453\n29050 43896\n40640 66565\n32205 86134\n36029 46035\n35811 69188\n41555 83577\n35042 42690\n19682 95339\n2923 21796\n42645 69634\n12394 67751\n166 38775\n8581 82672\n33698 94719\n29621 54506\n6768 81345\n7490 87787\n32871 76579\n45608 82253\n28824 90955\n16506 34130\n11804 84506\n15680 77105\n4874 86774\n72192 88020\n50825 78907\n1044 82394\n81411 82597\n29742 84596\n3997 13572\n76756 83456\n40123 91445\n3762 68573\n3491 27389\n46578 93000\n45359 49325\n17877 68789\n34747 98378\n71064 79630\n25245 60136\n48314 51707\n35458 97688\n81022 94302\n75992 85557\n26639 63276\n42213 75380\n38406 62108\n17529 81303\n54718 93354\n21253 46437\n1089 87518\n59234 92324\n28988 55887\n31488 49938\n18127 52496\n1342 15345\n55913 60277\n15822 18534\n51461 89190\n13497 28801\n21195 39841\n79432 97878\n62766 68481\n26122 54091\n39961 72450\n72325 72957\n55556 57867\n60440 69034\n66340 81437\n19411 39347\n2755 52152\n50936 51641\n37884 52342\n30183 67729\n55712 69377\n11916 56500\n5490 16986\n24244 50423\n69608 82617\n5522 89359\n29666 57321\n11741 69668\n23556 52665\n21162 92022\n45546 54577\n51052 66099\n75347 98575\n8458 73280\n18627 22766\n49230 61535\n4560 38238\n28340 34574\n5123 61375\n37031 66913\n79546 98377\n48265 67441\n11768 52287\n28370 91452\n5703 95662\n40200 65864\n36772 65411\n33443 80121\n885 36254\n44053 62637\n36433 38779\n35634 65504\n16763 99207\n10676 89844\n14865 68911\n229 44137\n63606 80874\n15598 69594\n67493 85436\n33288 65835\n94142 97826\n17109 78082\n13265 94393\n62337 63184\n63411 76520\n39075 55092\n18210 61752\n24295 97255\n30738 47231\n94636 96959\n1065 47551\n6641 70942\n37574 65614\n4196 94010\n27646 75458\n5559 61456\n32206 59631\n9158 60290\n86621 98823\n11508 12303\n21218 73236\n55497 94873\n9157 40290\n34826 71059\n15877 57963\n3424 37804\n74058 93898\n52014 66237\n69082 88588\n23053 50518\n58897 61945\n36653 71276\n45567 60775\n64186 86194\n43972 77331\n33870 43336\n18472 66233\n10076 18076\n51446 88797\n70390 95215\n57957 74230\n13758 91792\n1028 96416\n9690 13330\n15463 60117\n25850 33902\n58146 85157\n42880 75698\n2309 68894\n2456 27444\n48080 52309\n35011 78706\n21985 67709\n63131 65144\n52829 58787\n88898 94550\n69900 93487\n46132 92101\n28144 61307\n86607 87462\n8413 34310\n33337 84064\n29603 30806\n43656 69807\n34611 69546\n6184 43988\n4867 56713\n42121 77361\n47682 64947\n17580 62382\n37185 97754\n26712 51333\n20695 93293\n9844 26844\n22488 68850\n44819 73115\n24620 37609\n32777 91812\n39080 92602\n88495 96954\n10814 44395\n3200 98281\n26228 94431\n45074 66217\n22675 38572\n13442 58523\n19482 39655\n20309 47586\n14428 52863\n1314 30663\n13316 25352\n10802 33409\n29445 83915\n19242 98905\n20234 67538\n18389 97866\n66725 93924\n62047 72899\n59962 61063\n22892 96017\n51920 92135\n44558 80670\n23089 61664\n19468 21601\n1243 57736\n35024 48961\n59091 93778\n47739 60860\n82970 86453\n93822 96028\n18651 35934\n76251 98513\n20440 34675\n13054 23475\n26616 58202\n3752 61212\n45099 73705\n34558 79504\n63914 72551\n50153 95102\n31159 47637\n11484 70819\n93031 98051\n47201 87334\n49042 73778\n62280 69698\n64728 65242\n44666 73147\n57675 95744\n17834 71862\n18052 47879\n19290 32519\n59349 68031\n8596 56038\n68422 74573\n33227 60524\n53023 57698\n49069 64644\n38008 56078\n30379 66830\n79178 86592\n53111 94706\n24501 37381\n18543 69926\n48812 86070\n89289 97924\n30442 65126\n81973 92926\n15684 67776\n64492 85705\n3346 64795\n31429 35412\n20569 95401\n71858 88240\n11510 82770\n10518 20400\n1229 35836\n61285 98659\n19906 20877\n10187 24200\n53010 72491\n70192 80594\n71402 87212\n14119 74186\n34684 36814\n14279 71920\n38876 70598\n26744 44298\n31530 69856\n25103 45233\n31219 63179\n70840 72517\n57651 81345\n78226 81661\n14419 40738\n1402 4990\n36540 75053\n43773 44488\n53280 99701\n16 36232\n41110 87244\n56475 84933\n38357 99198\n11596 63980\n23020 65199\n36927 93759\n45021 80990\n7745 13922\n44413 64995\n80073 85976\n75646 98324\n39578 84318\n49941 59298\n3058 4857\n5745 84986\n27703 60577\n1521 69082\n19489 37914\n36079 94348\n41014 94320\n29392 87546\n15148 30013\n43563 92125\n36479 79422\n39173 50977\n4780 41901\n14597 57595\n4953 94298\n519 2086\n46139 64874\n19254 37197\n16257 71696\n24845 50367\n13532 13608\n2292 80071\n19055 60650\n13286 42681\n30276 79179\n13810 85985\n91382 91430\n41779 73798\n67723 72900\n31372 49614\n42011 81216\n14223 38228\n94558 97587\n4366 72464\n11681 57003\n6353 14604\n14970 25383\n19222 43877\n22654 92065\n20396 32181\n46368 70765\n2573 88263\n17719 51837\n40154 60964\n13514 30554\n1833 51140\n27150 78805\n32994 44856\n69003 86642\n75321 97832\n46906 98131\n40307 71029\n27206 82939\n31503 53428\n32021 38436\n68076 71586\n47034 87161\n11089 72654\n64860 82118\n911 86193\n73851 93684\n78308 82235\n41201 69887\n68831 85684\n39019 95892\n53898 63899\n55245 80793\n7141 49722\n64229 98401\n7946 14230\n85837 99929\n62673 77965\n62910 87805\n8628 47508\n20504 84250\n74671 84280\n4093 91223\n12232 89734\n15237 73066\n45216 94122\n36046 77335\n2845 90514\n74567 99468\n51994 72781\n30749 39507\n17751 62934\n13454 38720\n5509 96332\n30561 62553\n8630 53647\n14839 72588\n33820 81672\n12990 71691\n8729 24703\n1953 3090\n10604 90222\n52713 62685\n1595 51976\n26059 96919\n40388 49873\n12421 35817\n40243 95459\n25830 76774\n33480 96004\n67657 70434\n56129 81230\n38866 79621\n73424 85324\n5933 93844\n40348 93185\n13680 69297\n83070 85508\n14965 65387\n42891 90483\n7058 26305\n7702 68089\n23619 42705\n18838 29985\n8498 41739\n27397 51345\n35541 89979\n52399 61680\n28301 69250\n79442 97215\n32370 71438\n26766 62644\n54067 56378\n26751 81700\n37801 74726\n58422 77509\n9358 71903\n55222 92252\n258 83733\n49036 66213\n12562 57354\n71563 72717\n3470 40684\n6061 79327\n41206 57846\n39295 68746\n25928 28345\n30232 72527\n22280 53579\n15041 97284\n40205 55270\n41900 60455\n63008 94593\n12746 83130\n72030 95644\n75645 95601\n42935 43410\n3596 9549\n81403 98626\n45194 97629\n10777 52365\n15634 31602\n57785 58682\n58385 67784\n30922 36802\n3945 77088\n6260 69735\n95728 96110\n54411 62966\n63641 74416\n22631 59866\n55905 83923\n78223 94932\n15364 96226\n45711 72477\n18401 21042\n65453 83407\n6425 51244\n27396 64821\n21338 91012\n25025 35032\n69369 86589\n13155 38683\n6871 65207\n30802 78071\n73517 89440\n9946 25621\n8274 48599\n80271 91948\n733 23042\n35645 93118\n33072 86337\n33464 40194\n16340 93360\n58915 70282\n64302 76565\n80760 97663\n60429 95436\n54102 72611\n1809 19733\n74847 82123\n43835 83056\n72033 96412\n49647 99447\n5351 76467\n11215 60333\n3596 88552\n29505 86892\n51197 88863\n36092 60757\n2856 15348\n71 34377\n37395 84232\n28806 31340\n48282 65120\n24843 78889\n64036 66547\n48623 50662\n65861 74618\n55038 65462\n52402 88766\n4281 99347\n13876 34947\n30740 96339\n37389 48057\n537 46068\n12575 99165\n33312 48372\n97089 99812\n29216 65740\n89608 98421\n3456 86548\n2330 92279\n17235 58029\n84130 85303\n89868 97582\n51492 81010\n20320 39387\n11625 20771\n7606 18414\n23912 56595\n3614 97070\n37731 65931\n3212 83853\n86689 88438\n36028 43643\n3775 97565\n68856 87750\n61122 94672\n37669 99211\n43084 86685\n1100 99101\n72046 86175\n430 96032\n34526 52299\n56669 74515\n2833 6377\n22282 78455\n287 13479\n10281 53798\n56833 92126\n29946 40426\n74480 94302\n747 57013\n12123 80971\n5963 15045\n21319 38730\n12543 49723\n18340 99522\n60733 73280\n63881 94154\n15816 27423\n15164 55362\n62640 82563\n36135 83690\n39244 55772\n32823 40651\n48847 60629\n30895 74622\n32909 82872\n57104 98828\n77587 81327\n3158 18452\n12970 68396\n18556 74019\n14150 42375\n16086 50004\n37928 69779\n81634 91174\n73882 81880\n41488 72327\n25223 81348\n64084 95142\n1178 95337\n23617 90834\n28880 82524\n5155 34687\n26756 33692\n738 25232\n39110 43314\n68215 93956\n14494 41344\n34220 61657\n22470 82809\n46823 50728\n29065 64545\n31374 36292\n6837 96980\n48016 73220\n37143 74594\n28223 54967\n42477 80079\n21491 98419\n45905 71842\n5217 81986\n44596 52845\n28310 52002\n4777 95209\n4796 18320\n51447 61198\n2267 83206\n63969 86127\n52500 66274\n26952 80751\n65932 96611\n4612 49153\n94971 94980\n3439 43285\n13639 66083\n5124 70814\n14510 85831\n37642 91068\n55322 82519\n27776 81634\n7319 50641\n41507 65786\n72887 78304\n25129 26636\n49030 89762\n55896 89229\n7641 55849\n56452 89420\n11135 70809\n88548 88860\n74558 92342\n69984 96273\n96557 99511\n18248 87554\n88423 94989\n23716 58740\n14688 98933\n67091 98918\n30148 86212\n4438 85126\n46706 57719\n14389 79208\n57415 58512\n36821 62296\n72361 94330\n40950 80883\n7534 39478\n79784 80344\n43773 95641\n39802 46302\n42763 64927\n59206 72707\n402 4561\n1167 47815\n36375 67810\n21846 59756\n13490 58217\n20158 20195\n22828 88919\n95596 99916\n26978 99413\n1500 51042\n10850 57700\n53196 87476\n2009 92266\n52416 65828\n26921 85651\n44355 87990\n13189 51295\n11207 99252\n5062 42540\n365 89425\n8764 55339\n46588 92965\n13990 42956\n16358 30505\n56752 86745\n1967 16573\n96607 98021\n51384 54963\n13290 43903\n43417 91257\n33812 97769\n22768 28007\n79548 88448\n1040 13488\n6449 23263\n13236 73789\n7841 41132\n30614 67072\n1301 47162\n36833 37027\n6125 60086\n36628 50823\n35227 92677\n78645 82544\n60174 91117\n27206 95822\n35610 37129\n2312 79306\n40235 94918\n10483 41104\n20002 38850\n23619 65774\n62595 72834\n15731 30441\n28445 63519\n50025 94527\n36295 36374\n15634 28179\n22530 80507\n20552 52511\n45027 90831\n6519 46536\n22182 36502\n14784 34201\n9718 99145\n39667 96278\n80297 99713\n7299 19380\n66779 78527\n10867 89696\n1631 29756\n4601 52518\n17760 26180\n53512 74540\n16332 48755\n55671 97072\n15096 69620\n65025 95393\n10983 45437\n14031 96897\n34961 55801\n50491 83746\n31723 39836\n53104 66729\n10676 65921\n87945 97905\n32923 96150\n56232 98355\n11291 95419\n6935 90080\n2444 37857\n79206 85031\n23941 51921\n31889 39295\n20681 64923\n64986 93915\n3431 95944\n3801 81067\n46391 88429\n20539 60728\n24746 68855\n49499 65344\n68284 88943\n24622 63843\n43103 79785\n11051 65140\n40420 99214\n53679 66018\n87 73406\n35737 83969\n53167 74576\n36974 74302\n27724 30284\n34875 82763\n69349 92950\n11123 25156\n31823 92914\n4515 69904\n27556 52007\n22240 58359\n94329 99409\n1587 60081\n39119 95509\n83335 99970\n14403 30541\n61353 71338\n54475 88835\n2815 24362\n18234 36830\n47674 81640\n18685 54118\n1663 4697\n35872 72647\n78208 87587\n6881 53234\n40398 83908\n15748 95529\n21162 89899\n15631 39808\n2376 98725\n31280 73621\n3661 54687\n14744 72137\n53938 65976\n4225 29717\n29176 84301\n15863 75890\n45004 51533\n42645 53727\n66789 91207\n53051 91825\n33208 73766\n65943 72761\n56115 83507\n13121 24593\n29087 47665\n25274 89877\n7022 38918\n32560 43558\n20639 99966\n56629 73361\n2538 79587\n59360 62817\n29496 56303\n20026 29988\n59922 61821\n11388 84687\n82460 88606\n1023 52181\n27142 71975\n42351 53539\n37121 56685\n55721 88216\n76555 88590\n8087 25032\n5684 99926\n60113 91351\n45927 58328\n2290 51435\n41229 52686\n51351 59808\n8597 76359\n92616 95306\n22426 78956\n37848 93712\n1248 16954\n13453 25581\n1019 84973\n39773 80185\n90056 90262\n76741 96475\n44877 59836\n41355 50746\n47405 50006\n27603 87104\n35399 65617\n54034 77206\n62770 74554\n46149 58762\n2686 61716\n7098 49058\n5280 71587\n9349 93032\n8832 92541\n48441 77895\n43801 57287\n47856 82905\n195 22240\n20416 60158\n1727 50969\n506 72361\n62225 63509\n12722 30840\n12522 59470\n12505 48137\n7284 96467\n6835 57818\n4493 14416\n12333 42274\n5048 38760\n28602 73452\n41296 70516\n33900 83223\n34926 90937\n44572 65727\n7274 64919\n49675 84542\n23519 65704\n9049 66422\n39086 62221\n35944 53101\n47936 62533\n73052 88999\n10937 31401\n21143 75524\n27489 74029\n9933 70331\n34901 71022\n81634 94512\n70024 74955\n31737 92738\n27028 43809\n10826 20370\n3490 95702\n78235 81337\n13008 50668\n1832 25051\n5290 90912\n5405 23757\n12859 48797\n2445 7910\n41521 43399\n62397 69351\n28540 43451\n7530 24677\n16376 59590\n54717 78770\n82695 94180\n56889 68283\n52218 99847\n5452 88817\n83782 85370\n21809 90545\n20675 98853\n7024 51360\n14314 29028\n73023 82568\n48487 76653\n2184 16588\n23521 37995\n66123 79426\n3792 63170\n58592 89010\n48937 95068\n8142 34725\n23280 76372\n25136 74501\n62535 73533\n88427 92235\n6029 82596\n13279 67220\n16497 79667\n22042 94703\n14535 95340\n74490 74790\n50508 81785\n24323 31797\n34860 77225\n55076 99633\n78091 91029\n17597 50700\n82682 98162\n42354 91854\n5413 6575\n26618 96717\n70756 85985\n73383 86920\n38285 79327\n37181 82463\n36095 97291\n4168 35972\n19747 20047\n38190 41916\n26066 88904\n51989 71676\n8005 58513\n6772 61172\n37361 63493\n54372 93014\n28465 47881\n57470 70081\n14521 20599\n25649 77227\n37782 85908\n1272 20249\n60204 60922\n52552 86643\n40001 95591\n29047 66701\n5831 63867\n4195 97854\n9979 16813\n20640 66067\n58761 66414\n46954 79295\n35519 53663\n17075 73718\n16437 58980\n23690 71268\n4546 77960\n6240 35228\n46085 51822\n32888 50282\n53493 88006\n66413 98298\n26418 85173\n50595 56284\n2461 17084\n8484 73807\n12436 62566\n38246 55083\n15846 35214\n30146 93365\n650 45128\n74849 93079\n9834 39679\n6550 9570\n83811 85748\n21340 45781\n8865 89352\n20328 75281\n27535 98352\n2963 13386\n8344 64652\n10053 63374\n930 63729\n22518 23219\n10940 83208\n80747 86703\n36430 87957\n23297 67951\n5146 66127\n36740 76273\n10050 63142\n9021 71152\n9692 27317\n12335 49197\n15188 99139\n5962 79514\n28419 48795\n38189 98465\n10223 42581\n10904 61219\n68657 72914\n43394 64653\n42632 73317\n27391 40247\n10749 24488\n11502 36696\n40467 66179\n2785 86982\n2040 74400\n22402 75104\n36431 61737\n92280 94853\n5090 46945\n6193 60713\n9293 70996\n16145 73587\n29738 95616\n6953 71685\n46651 48133\n39245 88531\n11320 83016\n7349 56296\n24857 80181\n32484 91753\n20186 37387\n13390 18123\n77406 86324\n10423 96395\n428 89881\n68799 84034\n44641 60303\n1577 98068\n24698 81853\n590 41875\n27330 74953\n36004 68154\n63425 97000\n17507 40715\n24361 50677\n30699 95269\n8773 23254\n10489 77474\n16490 55368\n49860 88739\n29498 38205\n9876 49300\n8800 45935\n4742 85922\n64524 72407\n22682 25510\n9179 59988\n46990 88669\n50445 57757\n18120 87915\n61514 93361\n23378 54083\n30484 34543\n47251 67949\n55431 69670\n28159 95729\n1087 3748\n11118 36709\n86362 91573\n4024 5573\n1218 50401\n50796 59005\n1563 81389\n1012 61894\n22339 76168\n5944 72288\n45159 72547\n10610 20569\n42882 86644\n15588 57123\n44310 98957\n28869 74952\n3926 75180\n67111 87627\n38704 47703\n50642 53115\n26698 42204\n63128 93612\n29496 34833\n14014 64673\n10316 16664\n27686 66453\n6915 91706\n11755 23823\n45628 48657\n86590 90568\n40805 61328\n3284 37269\n69737 90552\n71185 99311\n61970 97683\n44422 70539\n7571 31957\n40351 40619\n10228 28503\n11698 92277\n5208 66496\n26895 59864\n6527 34155\n7645 60644\n10784 71742\n56292 64180\n54208 58455\n15368 76345\n76446 81239\n63 70250\n22591 47384\n60799 68237\n3636 99096\n47928 93765\n15345 35574\n81166 99380\n4801 28212\n2862 80963\n34019 72654\n16615 86243\n6292 21904\n32533 94510\n69536 83049\n26020 38025\n27716 96971\n46508 77670\n5809 71675\n10573 52380\n59201 79535\n48911 55103\n6976 17869\n44922 96361\n48306 94258\n13232 34692\n23481 51623\n40407 50285\n34846 92904\n59854 98555\n60822 67795\n35809 81293\n27647 79998\n3914 54856\n11144 14060\n36449 84178\n60734 76159\n602 79357\n23588 58003\n37828 39737\n28575 93177\n28435 46215\n21925 41925\n31743 87042\n6760 45413\n35620 79575\n47032 99424\n19 44797\n15597 23422\n25193 75776\n8433 87755\n6968 26751\n81155 90630\n21629 98073\n19437 67503\n13311 79846\n37605 71781\n18313 53703\n22434 72116\n12578 61691\n62320 77595\n57157 82198\n46969 61991\n19581 45516\n17627 73038\n55282 57311\n42029 62357\n3523 72393\n19005 60744\n54711 68067\n1629 82108\n3732 15585\n1254 22888\n8027 56004\n30629 43453\n23934 86461\n3940 73684\n2802 69612\n16898 40144\n29070 49998\n30785 44446\n32009 37000\n25016 32902\n49522 64257\n7481 88634\n74919 96914\n49984 67563\n11223 23311\n34416 40086\n56456 66974\n33921 71988\n38392 76831\n10225 16230\n18347 19780\n67019 81361\n28761 85021\n3723 26471\n54665 61427\n17630 31635\n15042 92566\n20600 71152\n82016 90818\n42182 56615\n54591 68574\n439 2015\n52971 81273\n11194 21404\n72020 85428\n57627 69631\n34750 60997\n38388 66038\n3966 16009\n7050 65003\n12577 76426\n24263 41724\n78227 90675\n28703 88101\n42541 66829\n61787 89439\n81568 92841\n85032 88689\n31118 82200\n1335 21705\n71584 85426\n10057 44049\n2295 35567\n75861 99493\n41726 75837\n7600 51893\n37541 44725\n60509 62680\n46218 75503\n54190 62854\n7750 90607\n11315 19982\n55901 93010\n24586 68691\n8876 23759\n83560 87311\n15724 91499\n37241 66217\n38652 69323\n17391 31466\n3572 10422\n31831 51774\n18911 94721\n35011 47674\n43970 90477\n1530 58916\n14488 27381\n35257 74291\n46621 47502\n9365 89289\n31054 49553\n54904 82024\n49775 80928\n19422 59776\n7694 78775\n66970 99599\n37090 47218\n8419 57254\n20741 29298\n93296 93731\n9463 41119\n19655 51764\n22566 28663\n16982 21972\n79614 84867\n33172 62907\n43917 75256\n63939 81682\n20464 97134\n17296 28687\n13972 31573\n45989 68429\n6455 39037\n1093 94299\n7300 72908\n6512 29289\n1515 67674\n15648 80100\n30398 75753\n13095 14831\n4668 59327\n61336 83973\n50708 97977\n69181 86300\n6255 8833\n45874 78662\n29077 55719\n20105 94590\n59585 66584\n30844 99358\n21178 28134\n29119 55433\n15063 24674\n28308 70144\n65513 75512\n85492 86900\n15220 39745\n55760 77065\n12918 37889\n37715 64968\n70015 90321\n22015 23230\n52466 83462\n32885 98382\n11252 64273\n73037 86131\n34694 99879\n39863 96286\n52509 62257\n79105 86884\n37756 61070\n50719 86628\n45753 48845\n32523 58823\n82359 84194\n69802 92921\n9473 75901\n48165 86843\n45541 75608\n46670 85277\n40877 70976\n60288 89926\n1433 10492\n15173 77725\n49295 80248\n29335 95315\n75631 87922\n22051 90745\n19573 28787\n68143 76226\n7849 9650\n40515 51930\n23964 28164\n60652 75294\n61655 80270\n70855 94612\n16869 63581\n57100 87927\n26540 63779\n17786 88606\n95361 96070\n57469 77590\n30595 32458\n57388 98690\n19309 47646\n20086 52592\n60440 81355\n64990 96092\n7600 72053\n18568 98855\n4877 20336\n22719 63658\n56295 72247\n68858 79632\n14968 23401\n38746 77432\n24808 39560\n30675 53978\n36468 67694\n62895 94224\n20658 25993\n53738 88256\n48106 48172\n31392 53216\n36924 82783\n44588 99495\n13085 66223\n8335 8411\n12659 56838\n19532 32672\n36013 77980\n81022 91993\n36524 65112\n33584 74203\n13119 30590\n56691 58758\n62299 87994\n22510 84232\n36164 54278\n48363 62351\n34086 55252\n5197 71012\n13665 32417\n2826 24979\n65799 71418\n33436 79196\n47972 70838\n47583 83423\n51516 79737\n48063 92316\n17583 74402\n32337 74535\n6276 28208\n36271 40335\n12025 82885\n43887 63185\n33937 93615\n26539 96399\n34691 49493\n11805 58799\n14195 46697\n3718 53214\n65529 81227\n33058 67848\n19679 99046\n7643 39321\n75235 83046\n55436 80055\n39575 72242\n10168 46895\n7401 46311\n29746 35217\n48027 97800\n55944 84847\n24970 71048\n38587 77933\n23753 51992\n55351 93986\n18963 44977\n14854 29766\n21302 42493\n52668 83598\n25068 96303\n9207 47406\n52484 97086\n12223 24949\n8286 11597\n16059 30593\n5235 47356\n37363 79684\n16885 86856\n26695 69044\n11996 46883\n14613 16694\n7393 66604\n79180 92387\n36513 62185\n76310 97503\n3772 73429\n19763 21111\n45102 65596\n24905 96074\n42739 86355\n16637 21658\n22984 69263\n76591 99787\n31669 34064\n69582 74618\n17255 44828\n49299 52729\n17608 74150\n28827 56509\n44500 98832\n42222 77148\n11150 60479\n33480 77688\n41264 58088\n8659 77796\n12003 13317\n24748 80704\n10180 92696\n44465 86156\n62677 74219\n33629 49523\n38834 91375\n13119 27147\n72200 89668\n71800 86703\n45160 99380\n59507 92769\n7275 28428\n8172 66479\n23929 45342\n36732 74700\n21375 69275\n58408 76146\n57016 95466\n22056 93789\n18802 41551\n33663 43352\n10689 84200\n66825 94545\n24666 57135\n23438 28851\n83471 85727\n18869 56744\n12642 70757\n39987 83706\n72986 95501\n5649 24639\n80187 88327\n24452 83094\n54876 78464\n2485 68861\n37053 98144\n31656 34716\n16086 51398\n1331 51821\n22469 50310\n70140 92943\n2158 73072\n24406 36788\n34293 81752\n17485 49176\n39946 47803\n33337 41371\n5668 49099\n26329 38704\n43474 64119\n16009 81233\n27280 77582\n85667 86396\n29735 44778\n9608 14351\n55440 80758\n6171 65751\n36296 58189\n74249 80897\n34041 90118\n1617 27716\n3753 86840\n12709 92969\n14826 87134\n38496 58369\n24011 26894\n21455 68555\n11894 65340\n47163 84068\n43529 60960\n35126 59950\n28010 29625\n25269 95700\n24798 77540\n51560 71388\n54944 93147\n9480 86085\n6527 47561\n5212 24596\n39757 99706\n957 59244\n38746 92327\n8674 55368\n8934 21650\n29519 54817\n14511 27839\n27669 71688\n12340 94232\n26764 68532\n54615 79735\n62495 63377\n1255 88268\n28684 91851\n6197 60822\n20807 87752\n29389 92531\n26559 48165\n61563 78477\n13174 82907\n93335 97525\n8515 29048\n88916 90951\n21966 77195\n40990 86934\n12547 36587\n3387 94226\n72246 92990\n14973 57435\n46082 51831\n58738 93384\n22645 34328\n7198 38628\n22412 50873\n13506 40435\n9798 30334\n6934 67872\n57835 76488\n19122 22415\n43682 65091\n53841 65027\n14650 91093\n14728 64232\n44983 51410\n43197 45564\n11435 51099\n58892 76124\n40679 76796\n5223 43473\n57020 81275\n15224 86113\n36543 69623\n95631 98611\n4216 5625\n53333 64746\n15495 65872\n10636 14483\n15643 70219\n52369 70394\n615 37231\n17968 18552\n11753 15858\n1068 88011\n40615 44506\n28403 37051\n15077 62191\n35072 75580\n6535 47442\n27411 74731\n15851 65009\n23442 26484\n18932 87111\n5944 27053\n6634 61241\n40334 97379\n13425 71228\n78318 88495\n2078 46051\n35872 85006\n25289 87872\n29627 68014\n32 25623\n59675 99508\n44508 48462\n6280 74554\n46925 72540\n55434 68309\n7373 14740\n29162 67909\n51127 98564\n52173 67449\n80257 90329\n34448 98724\n66842 81580\n11447 56787\n32481 76007\n14455 94782\n30538 45689\n8643 29097\n75630 90763\n56027 67228\n31076 62986\n49033 92119\n6519 17792\n49393 73862\n23242 98231\n28016 98789\n13900 60079\n31795 67210\n17609 22295\n47559 88701\n1966 16518\n84489 95378\n71602 97308\n15002 41092\n61908 75911\n5984 82381\n33168 74605\n10675 18405\n4982 11084\n25026 35960\n62098 89167\n3601 28753\n36775 43877\n34546 89095\n7929 92067\n24252 50635\n12421 80576\n44520 84763\n15721 88815\n20824 46683\n23798 55405\n70566 76972\n17853 95156\n21623 80065\n36527 87764\n67099 93641\n35509 89043\n33368 63964\n918 57559\n64995 81341\n27736 93262\n18389 77706\n30619 89230\n45622 61490\n17465 91322\n40159 75748\n69121 95272\n11804 97477\n10817 72050\n57337 99012\n40605 68328\n42647 69021\n66458 71229\n43007 66525\n7756 80351\n15997 30456\n27076 45158\n54915 91005\n69080 98475\n22946 54300\n68731 79064\n36183 51155\n26580 30630\n21716 67097\n26320 30032\n34856 89785\n28200 58156\n46760 56053\n38333 41683\n2678 34324\n2345 85743\n16 86958\n93967 98201\n64659 69305\n3362 82298\n32421 32668\n7795 99126\n18076 43733\n23669 30304\n9475 35398\n21037 44822\n35450 75920\n54733 98254\n87119 88875\n37483 64089\n20603 60434\n35305 47710\n44241 74429\n79268 96163\n42945 85035\n31134 95724\n2213 10913\n8432 92952\n35867 80701\n40046 52681\n32379 68785\n53484 58415\n798 32834\n6389 62429\n18943 90382\n25666 55037\n39322 92658\n1954 59650\n41945 93045\n23980 25334\n18046 71837\n42336 95637\n20427 46946\n11207 67900\n19096 88283\n38083 42780\n54815 77710\n43086 69862\n48327 91777\n47035 96390\n4368 10479\n21009 30368\n23262 28051\n51102 65853\n58505 87519\n55186 72532\n47213 87757\n8707 52802\n25475 90189\n11821 36708\n96100 98661\n44174 47878\n3903 78545\n41991 95155\n13635 43486\n43792 92656\n38957 41630\n43702 72012\n8058 81055\n63459 84457\n1642 51378\n13968 49403\n39622 92079\n58482 86584\n42102 95314\n19973 31250\n9972 51317\n7015 39490\n23087 75838\n35719 75314\n61590 83647\n39670 64033\n31326 38783\n25991 52750\n5752 80215\n9672 80412\n15572 43455\n64745 97691\n16415 89727\n65291 87832\n19966 75030\n6022 63008\n55579 76854\n22556 46988\n71059 78840\n32036 42780\n62852 63211\n12763 39394\n49801 65074\n5057 42660\n44474 80096\n17515 55292\n22720 68867\n27828 94242\n2147 22002\n52397 88960\n8869 94876\n3676 27108\n10730 87933\n91167 94793\n7023 36423\n34567 87868\n29673 63630\n13848 88289\n26181 87135\n50602 54789\n19912 67411\n47042 94514\n2817 89676\n22886 50602\n35990 60777\n10940 52101\n36550 95331\n37803 78070\n56386 62309\n43244 57254\n50117 59571\n55216 73735\n21632 30473\n43101 53030\n48200 77917\n9362 60265\n11580 42444\n64453 99417\n20455 62337\n1427 13962\n48066 62241\n24638 85206\n58316 59914\n4753 55280\n10681 47790\n30841 72035\n31656 98002\n12400 94538\n692 37762\n20492 57085\n11925 98132\n40971 92614\n51270 52686\n55441 85730\n30846 55867\n17458 36988\n32802 34990\n19651 55516\n48255 81022\n56472 84516\n17041 91323\n16415 85429\n19775 47098\n66430 89154\n26494 70908\n44421 91703\n36686 78297\n1070 12098\n2948 49561\n10358 53378\n40916 93933\n18118 73300\n13101 43518\n18009 80759\n10508 51728\n20973 42481\n16775 59706\n10012 30590\n87169 87977\n35092 68666\n20869 80139\n69317 72843\n30723 95051\n14808 73787\n29040 52392\n35795 55504\n65949 75968\n86062 89828\n11068 31368\n10061 91943\n24506 48580\n7981 11277\n12530 84432\n60583 62420\n34631 94880\n44867 76850\n60409 72411\n66738 94997\n25498 41287\n95713 99172\n9706 43334\n25956 35861\n89024 98079\n25915 96691\n14410 88895\n786 11874\n18390 50482\n1045 25177\n31823 34778\n35416 41217\n48381 95347\n54648 83127\n40810 91377\n1939 76496\n27851 94914\n30822 70002\n62019 90951\n26661 71056\n25438 81058\n68060 75392\n63965 65717\n173 14041\n8589 51516\n26787 55561\n5736 74638\n4020 79585\n1298 28357\n16389 22050\n69358 90672\n69578 93622\n50923 98589\n44613 58541\n32173 79189\n26905 78002\n63871 93318\n51223 79799\n4085 7701\n4632 48002\n27161 94202\n60535 86567\n24999 35864\n6505 99214\n3875 57229\n11143 52976\n14864 81259\n55850 71479\n13812 27385\n53166 91306\n47853 77549\n41329 97100\n18860 43802\n16328 38012\n30619 96808\n24601 82261\n7433 49481\n56679 96696\n19997 55299\n83847 86038\n14645 90098\n59671 97878\n54669 57161\n21185 50007\n31418 67300\n6053 82187\n49870 56378\n96 722\n35704 49860\n81311 98726\n12686 95876\n39431 88019\n10318 97176\n19446 27875\n25518 85239\n3688 62267\n25223 94870\n10833 98945\n59771 69496\n35626 95413\n18130 96755\n41085 56702\n31151 33744\n11141 53854\n75666 81379\n30061 59734\n22846 54859\n16312 19998\n25083 95185\n53668 99859\n57643 58932\n81204 90323\n60513 70711\n51740 56289\n56932 59345\n59763 63898\n10184 53626\n21351 30682\n12289 73882\n22804 81339\n24607 47630\n16688 90136\n20412 26187\n34034 38133\n24125 62569\n50647 80749\n44201 88286\n41243 64570\n31517 79410\n15835 22431\n28086 54434\n12887 94296\n65296 96838\n65155 75544\n51593 76865\n79183 88506\n58643 62217\n47490 72540\n42332 72009\n11520 50363\n4913 33731\n24167 56434\n18930 79476\n14381 81451\n41859 49111\n86900 90107\n32369 54963\n13969 86318\n73724 99162\n44046 99680\n11683 20262\n42208 47634\n30971 89794\n24257 93078\n23544 66266\n74634 89660\n37740 83096\n39641 78042\n23583 70711\n26610 88165\n36272 88683\n63860 80957\n63932 74195\n39827 86029\n30230 62324\n36603 49333\n29867 37328\n72771 99978\n25711 59315\n61977 98776\n59619 88861\n44277 61873\n77719 81274\n28693 99750\n25604 52059\n28869 57351\n12482 50808\n55149 86857\n7467 62076\n34420 95740\n6309 24853\n45764 49616\n25914 81980\n6949 31892\n18590 30402\n28832 53434\n24209 71024\n47741 85266\n46839 97333\n75090 94971\n17066 88914\n6811 11860\n10967 93157\n32034 49568\n7705 52399\n7652 25776\n42694 50088\n47374 85723\n20494 97586\n15769 27658\n7648 41603\n2721 28431\n42273 55490\n12260 31896\n18072 42858\n9 90803\n18158 92673\n676 15518\n63659 74208\n59906 66450\n73118 76294\n16906 65017\n6748 93750\n62878 80206\n97981 98093\n24029 57833\n8370 82661\n27955 75444\n32127 87400\n1680 56696\n58855 69867\n23767 44987\n14787 21157\n11646 20490\n35897 89044\n62680 67464\n35721 59201\n3054 37051\n81584 82783\n6804 73776\n59643 73872\n91046 99187\n58944 98927\n4045 34749\n5457 79517\n17758 96189\n51279 88941\n21575 78458\n8184 74613\n35457 41980\n30984 92836\n17896 69313\n80249 98712\n91829 94855\n6028 10656\n72518 78547\n39702 59775\n24002 94046\n34735 73101\n2868 67320\n45506 52126\n55918 75929\n18238 35428\n57851 66915\n36215 68630\n32862 71323\n4405 18766\n30174 81794\n44778 65572\n63153 78433\n42509 69844\n58737 87556\n58206 58502\n6522 93335\n19320 46024\n3493 44956\n54694 56965\n25073 71896\n44586 76073\n13397 36320\n9515 95131\n56653 60977\n67472 72660\n83632 84729\n37683 82218\n47188 48123\n19906 23427\n94530 96555\n46359 90192\n6833 90673\n9487 87176\n61020 97223\n39755 44854\n622 23047\n45321 77918\n44549 91502\n7208 56167\n11236 19825\n50486 80040\n19381 55810\n1658 20029\n27343 61244\n798 52444\n81843 96166\n27368 74698\n10945 43578\n4681 87991\n4230 48004\n9112 59418\n56097 62646\n78931 97286\n17626 81571\n9382 32600\n57191 75082\n44766 54811\n10977 31943\n52664 60533\n61015 66872\n58443 67139\n81672 85323\n3533 12021\n88621 93972\n23423 79913\n7710 81742\n830 25437\n22222 45230\n45914 49494\n10373 82084\n30975 74898\n19994 49470\n13456 67566\n88377 89885\n21449 25100\n62 95993\n44366 86143\n24364 95621\n30646 73505\n54743 62393\n4919 36182\n6899 98235\n31117 60820\n17694 26640\n35944 98287\n65465 77197\n21899 49499\n3182 59848\n18953 19604\n85206 87046\n39212 83370\n8258 10222\n595 86257\n14983 91177\n32761 63218\n45335 63080\n63898 85366\n8066 37838\n822 7920\n52254 89392\n14614 96935\n36952 82142\n29674 70775\n79296 88996\n59674 98984\n13521 38100\n13895 42119\n30938 70664\n3354 91849\n8468 26984\n13230 88954\n20857 66317\n24570 76539\n20604 45721\n42839 96327\n60976 66810\n72071 99476\n61147 97808\n3718 80398\n11366 26257\n69640 93917\n21197 94977\n86106 86750\n44686 80074\n74097 79224\n38531 84497\n56125 92022\n33909 97912\n29361 97223\n65911 80759\n39011 77580\n27593 39333\n61392 74346\n9415 94436\n60496 83290\n47433 66701\n70521 90662\n18589 53092\n7524 62707\n26615 48410\n12366 83697\n58732 78773\n15181 28892\n8112 93206\n23340 25362\n51257 85434\n15340 47366\n14966 37665\n40109 44841\n12564 40128\n50358 97362\n40229 98596\n14971 40544\n11828 37674\n62795 95529\n7241 97920\n13830 41955\n72952 73207\n39692 87064\n24462 55250\n24561 32655\n65133 94682\n67162 68215\n14999 33588\n42739 93354\n17175 88564\n14482 20071\n16701 59119\n59288 83943\n26488 58531\n31541 58872\n74414 74477\n27044 67235\n31605 49018\n38048 60751\n25950 51953\n17046 67469\n40339 79586\n58371 95565\n55592 93708\n14769 38718\n34094 36328\n2360 48966\n31811 35149\n72593 90427\n40597 55493\n22174 69977\n25935 67044\n2303 48717\n44942 50853\n53773 92132\n11017 43053\n2066 80926\n27346 49538\n49891 95817\n15803 74312\n71655 93430\n33715 76918\n30225 53806\n42270 93729\n4331 41910\n51257 52012\n57572 92389\n25144 32212\n73063 82199\n6486 64985\n28088 90487\n7693 30607\n21281 51960\n56584 61081\n29333 60616\n93778 97493\n2844 53025\n33390 85010\n5847 51324\n45190 60624\n58791 63379\n64170 73520\n23551 37957\n45387 74818\n12341 64784\n17329 61686\n34658 96740\n26347 28865\n12294 43292\n5033 22291\n71166 86628\n12543 66513\n44972 46026\n47727 52291\n16924 56897\n32121 38494\n15708 85441\n47405 78382\n5461 12363\n12532 83364\n14772 71853\n33155 53963\n19406 47408\n5066 87908\n20792 99797\n9818 47232\n16304 88091\n14276 15413\n17934 87325\n73796 84993\n51299 74984\n77746 89510\n47305 78480\n55615 67076\n21958 93605\n2549 44392\n59334 61166\n40789 78041\n42695 81094\n12217 23864\n2577 41674\n12732 68828\n8724 59799\n2541 31192\n62993 67501\n6644 77527\n30559 99128\n13720 63222\n14877 71982\n43570 76796\n49275 78748\n3259 98637\n14855 43509\n22853 68288\n77646 98543\n1879 46773\n1097 40766\n4403 53734\n31824 37954\n44333 92833\n11555 35854\n27850 73275\n12319 82295\n71917 92992\n59813 87800\n48162 57172\n69637 96391\n13860 67361\n25568 92925\n19940 73335\n6051 88502\n71261 89219\n43689 56847\n25373 67673\n9791 98930\n78665 88420\n37385 90007\n2991 20015\n26877 89038\n5387 65740\n12230 34055\n16178 90593\n31360 82041\n686 9872\n10971 47468\n81791 85432\n842 45753\n49520 72501\n58196 86147\n50678 62116\n40417 51143\n85071 88354\n33707 64504\n61719 89731\n51032 78734\n46163 66265\n19086 65223\n39277 42212\n57378 86214\n85505 96477\n22207 68641\n35933 50086\n6416 42904\n68210 73638\n45354 98915\n47874 97874\n39850 63869\n1043 20029\n81842 93421\n48742 56366\n17793 93860\n92577 98994\n27666 73767\n79373 89413\n80788 96354\n23904 25226\n20654 21872\n49544 68430\n40363 54435\n6684 91922\n32842 46607\n21789 48043\n28552 66974\n35532 45077\n28829 79802\n41696 48110\n59637 83046\n45319 57022\n31625 99196\n25261 68763\n45023 55582\n27890 58624\n76695 95996\n33121 44312\n19171 68472\n23887 56508\n16141 70417\n25880 80990\n82485 86269\n43038 75971\n8489 48814\n84 16826\n2491 42997\n532 74702\n74997 78087\n8227 85246\n53749 74356\n3790 53939\n66982 84324\n58259 67802\n67238 83898\n24874 78211\n10637 43370\n45954 61527\n6190 52803\n19596 76442\n17275 27931\n21075 76936\n50533 52402\n16092 18458\n44641 93099\n10167 35859\n45278 62559\n11372 57698\n55588 64508\n13165 74321\n1595 12744\n13741 71552\n90676 94116\n49292 97606\n11479 65866\n69906 75326\n74160 92235\n27117 45240\n11007 82553\n49259 96857\n74948 85063\n42420 90355\n34412 88477\n32233 37005\n29008 42090\n15567 74505\n20899 35967\n33823 71240\n6593 92823\n69265 75436\n36248 98614\n4237 30712\n17585 38517\n45497 52930\n6687 18335\n5046 96096\n31959 94374\n83241 96899\n10425 25700\n13947 82956\n48208 75400\n18737 94977\n36072 85499\n60374 78790\n49273 58732\n20505 34993\n52571 71064\n76916 90992\n15263 22499\n51195 80232\n75615 96091\n72856 79401\n59471 67831\n2033 11897\n78032 98298\n72000 92634\n32091 61911\n87914 94402\n44972 53707\n84766 93382\n60835 94048\n52424 60003\n39535 59169\n1396 97227\n38562 76433\n8634 34180\n11037 20113\n3717 85675\n95422 96647\n77003 94292\n35476 54701\n84707 94152\n17479 42847\n59323 76429\n46238 73877\n36972 90789\n62851 88863\n61544 61961\n1821 99525\n23461 81641\n14084 64338\n6717 95152\n38748 62958\n41140 67804\n16399 89322\n15151 32329\n17563 59276\n17516 41880\n32066 58463\n5730 22256\n33745 97983\n28128 74524\n12471 13555\n45276 65569\n3980 44931\n43645 60397\n61545 73783\n89241 93610\n62952 92885\n80601 98223\n63424 90607\n34268 70022\n601 32579\n55549 97393\n10389 47327\n8008 47174\n9502 99189\n6205 64534\n83667 97073\n67038 84494\n44372 77595\n7836 30275\n5020 27907\n44046 67532\n35302 83296\n75915 78414\n57880 94173\n23956 74783\n17036 99286\n2439 5038\n14542 52668\n38830 64817\n76838 99756\n81106 89359\n60108 94068\n70199 91192\n44202 97962\n56357 84507\n16504 80184\n21695 66556\n93233 96498\n10300 15432\n33124 89940\n25656 60145\n50787 93191\n60087 91291\n34741 49805\n10317 84760\n29843 60452\n25918 81677\n12792 83290\n44569 86222\n37265 41132\n25234 49369\n18331 88341\n2686 38550\n68499 82081\n14275 54309\n33249 41660\n8324 24270\n25360 43918\n22394 25612\n8610 11145\n81562 97146\n51568 95199\n29591 34068\n67844 97558\n22206 34616\n55863 94445\n23209 87477\n42130 54099\n30089 62130\n21994 51566\n43814 96895\n4112 71988\n45878 78565\n8068 83031\n91031 98455\n26653 53246\n27883 66327\n42056 63577\n40763 82430\n65767 93144\n63270 97849\n8187 75023\n47945 61139\n25542 98822\n41274 83597\n63612 77182\n61018 72713\n2027 83800\n77876 97035\n3542 79025\n53890 54073\n14751 80716\n80729 98253\n510 60231\n11480 15787\n41567 77969\n7326 21075\n60057 82457\n18627 51515\n19889 30781\n9058 39701\n7346 42492\n4108 79906\n70783 79126\n14984 21594\n40926 49075\n83068 91286\n17784 50303\n12763 54287\n5396 23426\n77226 94651\n46013 54062\n89588 92461\n51917 80112\n33593 79616\n25566 39415\n19534 77462\n49852 52524\n58764 97947\n69664 70397\n30817 43738\n16113 82961\n8677 62273\n81722 95299\n50200 72986\n67180 91975\n1703 16239\n18264 33617\n28778 65696\n2742 82885\n56877 73462\n22898 95117\n22087 63741\n57734 59686\n27546 84759\n93477 97197\n6669 52498\n23541 74193\n3497 69678\n33522 50868\n69248 91822\n1306 73802\n49544 59757\n52283 61244\n20308 56520\n26465 95295\n47985 78171\n20976 89499\n641 7161\n77093 98090\n19886 97108\n11629 92696\n45843 56058\n7466 88422\n9234 22449\n13783 72609\n57473 76963\n20159 89733\n54120 78969\n5642 98904\n61263 91985\n53679 76983\n43462 65647\n23553 99526\n33162 93120\n55095 57617\n29757 76808\n1869 69861\n42214 96607\n43805 83770\n48326 52182\n19621 74600\n56942 76963\n9970 52129\n23904 97599\n40857 67599\n12462 77853\n22037 58329\n710 66468\n11261 20796\n7848 67688\n89098 99681\n5042 86898\n29027 87171\n9906 39551\n29615 41554\n5207 30003\n25537 61853\n52727 83612\n70295 80191\n11841 83779\n47894 80783\n61993 62720\n8406 53744\n11518 60329\n4675 13417\n13278 88952\n484 71005\n36151 84408\n48912 79170\n8979 39580\n16981 74639\n39739 69828\n13222 33727\n17816 70375\n36455 52477\n12197 91534\n44734 71457\n20653 58841\n27309 78240\n45536 85901\n16933 33692\n3945 51918\n47753 84125\n49227 70534\n1773 19273\n2214 98237\n13229 84645\n41037 92540\n13588 64627\n67083 79886\n37388 38795\n20316 37440\n17288 76470\n19222 75279\n45114 46470\n9491 26528\n27660 72090\n31808 65935\n37007 81513\n56527 76939\n34296 45080\n53029 94708\n33533 87020\n10030 63384\n4611 29912\n42437 87906\n16972 47474\n7904 90340\n70063 76989\n4545 52533\n42762 47569\n47556 79715\n53813 71673\n10812 20653\n80294 80351\n29343 67312\n12472 58955\n28512 71759\n18818 49058\n27518 32142\n11759 30773\n13363 16947\n51788 75155\n36489 54096\n1802 12593\n74390 94493\n24250 94631\n67313 80442\n33005 54681\n24740 55284\n25450 45279\n75254 97985\n89826 96857\n33798 45711\n26349 76964\n17860 95274\n4392 19864\n23667 49991\n1674 93903\n22357 43557\n49573 70042\n16807 47858\n86965 94486\n72498 92850\n14355 24358\n91271 94719\n9053 21390\n5875 83129\n26584 43643\n31675 90627\n45007 84703\n49868 60503\n44331 61679\n31071 52247\n83745 95324\n26175 70389\n50193 61645\n1257 79761\n31989 75088\n66418 86510\n4143 10442\n70063 74417\n56227 68402\n13674 78644\n19157 36863\n14928 32235\n62845 69003\n74849 81769\n14080 17486\n59335 87418\n7801 40697\n5915 73767\n47390 62663\n32165 60548\n88615 99112\n36872 43940\n4680 97076\n17769 20161\n56713 99463\n12198 88326\n12281 87692\n33303 95783\n5578 16598\n2885 84398\n2630 6636\n3730 4024\n42887 68094\n39499 93706\n30986 72698\n51376 67803\n27133 53181\n12638 64933\n1444 51376\n26551 83784\n60697 84196\n8377 67922\n16067 25018\n18335 82029\n60602 75213\n10481 43664\n10463 94810\n6365 66888\n5352 7416\n45033 72934\n86669 88303\n42466 80915\n4727 61790\n14139 61243\n60826 94487\n5410 7549\n49126 59103\n29641 34117\n90703 92679\n13578 76703\n16282 99276\n7714 31545\n51114 99773\n64726 71491\n46028 95405\n34775 36160\n97254 97967\n53993 67831\n30644 62830\n68621 99539\n72013 86856\n52058 62715\n30733 85426\n88318 96968\n8643 68086\n20073 75159\n27121 66031\n72806 95533\n51556 85241\n59907 88144\n77346 98901\n51399 98832\n4956 43809\n2674 86661\n13119 57119\n634 93502\n31291 73735\n63139 93400\n29010 54555\n32349 68040\n54893 78019\n27696 31554\n40255 83213\n22200 63123\n9807 18594\n49257 77563\n50086 87092\n11847 53622\n69097 73795\n60333 64440\n24906 37517\n26415 68117\n38810 64741\n38470 46446\n56257 75364\n24272 82139\n2660 74916\n36829 74142\n47674 62819\n21583 88378\n624 30300\n48660 54373\n76221 82477\n51657 81208\n59660 97772\n55794 89943\n16437 28046\n34642 72630\n22288 98423\n3235 7502\n4383 81790\n37622 74503\n20606 49505\n43654 63194\n10572 17200\n23953 36717\n79404 91424\n71418 97066\n51984 57980\n11885 24213\n1950 53542\n54685 95605\n40657 65842\n43961 81127\n20474 41128\n39218 41207\n7392 29198\n34274 44868\n6705 29024\n31007 64452\n11311 50132\n61660 86578\n53491 77699\n47915 58339\n43451 93880\n33560 84557\n4710 90042\n19453 66849\n33287 64502\n26994 75719\n95698 96766\n8653 25884\n44230 87113\n91829 98995\n56029 99633\n12029 76586\n8151 97738\n34771 92235\n52092 55565\n1296 37634\n22289 82952\n24685 84742\n50352 69340\n68815 70650\n86761 86847\n6254 23431\n91 86206\n16409 18354\n5693 84067\n89709 93071\n16186 59731\n87471 98431\n64179 75013\n38755 99999\n7877 92334\n25271 25756\n60040 87988\n85486 98960\n37118 79055\n432 97141\n2580 63223\n17527 41203\n40297 71220\n84183 85379\n25196 47636\n78676 88256\n867 51753\n72782 97783\n45734 55592\n67324 85380\n17837 82937\n1631 26221\n59113 85413\n31846 75310\n39279 63395\n15446 70805\n3073 79556\n30086 94660\n26572 58153\n73946 95466\n10736 97105\n15466 88032\n24278 91701\n71758 92777\n26969 42786\n30074 38579\n50571 78645\n85063 96789\n43097 44830\n28178 67240\n17898 92207\n69648 88736\n68116 83803\n15337 81489\n83021 95965\n19999 27509\n29093 39256\n57352 70728\n38855 82194\n14408 82271\n9150 36844\n14050 71996\n47852 92615\n5507 50461\n57243 89019\n40359 86362\n16953 80760\n36000 64615\n1500 79019\n16503 41923\n28954 73357\n9301 93459\n1110 93279\n75140 87382\n15890 65543\n50332 99563\n60690 69713\n17843 63798\n45637 87176\n50013 69994\n1925 72872\n13809 33997\n50076 71197\n338 70544\n9205 35343\n11657 12462\n66932 74924\n37166 73195\n33480 77380\n31426 32022\n47254 65115\n29741 96359\n40297 46673\n53396 56470\n55630 55750\n46590 95036\n5148 48859\n33625 59904\n28033 55957\n43014 93013\n10175 72521\n16288 79162\n25720 76082\n1275 1867\n42338 80279\n27979 46270\n33534 42933\n8296 77093\n43254 99359\n42875 94251\n17485 82841\n65776 87547\n44422 60582\n26344 41874\n23100 89440\n71668 78421\n39344 77420\n51715 78675\n18154 31847\n34170 40823\n12428 41530\n50096 96360\n63583 95966\n42197 57857\n56099 83041\n26524 83968\n57565 80586\n18823 60709\n29255 74531\n45384 45749\n52215 60257\n39277 49806\n26110 26711\n86825 93473\n82873 89810\n17156 24812\n22670 32723\n33139 47710\n5626 83619\n41075 57342\n10017 12877\n51797 80609\n44287 45492\n50460 99517\n15168 74502\n25652 89593\n67160 86283\n76107 96571\n83909 93146\n2593 11346\n18223 51936\n9377 47921\n72200 79450\n22877 93410\n11530 67222\n64350 67524\n3566 35706\n83678 96955\n78249 91687\n35537 57600\n12031 70572\n36722 51046\n19431 74173\n40656 85354\n5536 36016\n22618 92212\n15415 81108\n27307 41212\n60074 74846\n40910 55931\n27887 88153\n6695 77753\n4100 20134\n44459 79011\n54578 92990\n34253 42425\n53499 68993\n25026 38758\n86855 98311\n46791 74159\n1153 21812\n66685 77475\n45644 66863\n43904 67011\n36491 54542\n79561 94229\n91365 97021\n16993 77403\n552 32452\n44781 73033\n12778 35613\n5363 69118\n21725 34105\n15866 91267\n48392 85307\n5871 98076\n29527 53803\n10192 75910\n26720 35733\n15787 25706\n73219 84912\n3992 25241\n7454 11565\n30200 42473\n11921 29509\n1592 71703\n1636 51233\n49183 50847\n61125 99858\n12585 62367\n23138 54410\n74168 83149\n6359 24849\n62037 65791\n3920 95340\n1838 55525\n51088 67101\n38826 47463\n69295 92397\n71854 95572\n56678 62410\n38797 70056\n87360 87990\n12712 99954\n82359 85882\n52140 89449\n47460 48858\n28528 52074\n72748 88852\n1945 40342\n15170 17142\n29335 95126\n54126 63370\n25281 35323\n58863 86609\n17410 68545\n3418 28451\n16247 78308\n37935 47199\n19302 70369\n8130 69996\n55305 78071\n64609 86060\n14787 88643\n46621 97271\n17294 87967\n31349 91801\n19083 58900\n28872 56488\n31917 89274\n5592 61982\n35899 96443\n6896 19423\n27990 68064\n32633 64152\n48042 58967\n25374 28698\n38368 45202\n57859 96331\n34158 55667\n79477 86414\n18288 24126\n43192 51134\n38391 47051\n71206 92020\n52347 58089\n5878 21883\n736 1992\n57014 95108\n24121 36675\n12197 83177\n14431 42700\n68896 72064\n15196 28376\n40099 88906\n49860 96190\n719 21023\n22260 59736\n9959 37172\n54530 61351\n75313 95786\n47234 73967\n42242 54415\n61640 83350\n11875 45467\n87016 90659\n15117 51013\n30178 30620\n61544 75045\n71816 87486\n21977 62474\n51639 71676\n26763 67852\n51797 52604\n15346 94642\n44322 99749\n50928 70513\n25446 84701\n44656 86697\n54174 74876\n66733 93194\n4628 77473\n65740 69794\n35913 76434\n30846 92673\n13443 73290\n26313 35650\n10311 83098\n7103 51205\n35306 49667\n24244 80168\n38267 95286\n6160 31257\n1304 45454\n9977 24867\n23284 70229\n53474 63207\n33630 35496\n33459 77781\n749 43259\n22531 59357\n10970 85076\n90758 90994\n24492 62259\n40806 65607\n52538 76546\n22687 64990\n36200 84153\n38513 76622\n45693 61159\n50950 52004\n4750 36463\n35217 68904\n80954 93625\n3338 42105\n20451 54884\n58962 83066\n7037 80498\n20395 92710\n33813 44524\n12661 43011\n12279 24371\n18100 52764\n31802 64022\n73235 79135\n7717 64352\n67813 99997\n3769 36388\n15049 62724\n28648 94300\n31041 38069\n20005 67187\n38658 89852\n803 94361\n11948 41094\n54090 82100\n53154 82137\n13255 23492\n58216 96888\n62229 77302\n40556 80670\n16270 93382\n7894 69232\n34326 83269\n41983 74411\n4478 65459\n76607 77156\n82867 84558\n20615 82217\n24304 67344\n14074 32698\n54096 89889\n5107 32849\n32110 66632\n49668 69423\n7547 93228\n48553 56279\n44234 55911\n11391 89277\n13952 60053\n18059 39718\n54493 98668\n34864 43935\n17181 72451\n73160 76125\n45233 81288\n89210 91804\n23093 45338\n84729 96325\n18117 66206\n42931 44927\n19119 95528\n19210 57123\n23197 29435\n14782 71018\n2 38792\n75422 98379\n8953 29711\n84559 91799\n12819 91470\n93363 97808\n32106 70972\n42040 49482\n4997 62002\n55626 68011\n33678 64085\n47213 57409\n4161 92813\n3903 74586\n47713 55490\n25552 86348\n2557 4745\n13866 19425\n2465 93146\n71979 74542\n52397 91634\n24263 62709\n65278 76926\n57293 74906\n14475 28164\n41543 90357\n27725 81403\n36033 37766\n69653 73767\n9858 30713\n1349 31325\n52706 56384\n34802 34986\n37072 52027\n30597 90981\n4549 65238\n26381 98322\n55284 73042\n1609 43293\n66978 96573\n55786 60861\n43802 99401\n67510 86096\n72350 76721\n29750 48293\n11323 41026\n8230 91423\n55793 90516\n17578 61825\n79232 81652\n16237 21413\n56746 88194\n45848 64052\n37278 42492\n86655 87494\n61576 98283\n70874 73514\n18411 48211\n34355 76569\n2453 54448\n78540 82082\n18026 83879\n43448 77609\n17655 74579\n63740 98949\n40693 50019\n46737 47839\n40657 95165\n20646 41119\n68946 73900\n21252 87234\n69652 98026\n30825 50915\n62092 68320\n6109 64386\n51630 55775\n52211 53178\n27224 57727\n27510 46088\n69310 88506\n11636 11731\n14252 31181\n19564 53273\n1892 96429\n41741 83922\n2419 78554\n21150 24568\n5908 90920\n73926 95960\n48290 98571\n24060 49723\n36886 97347\n26689 59609\n10637 53567\n15330 64673\n33333 67748\n22380 85651\n29629 84528\n16270 93217\n44367 58506\n16010 75958\n8988 68108\n18124 52627\n57962 86465\n8657 78743\n41115 64673\n36942 86247\n9540 89038\n40907 42779\n12366 34985\n11168 86036\n22537 43087\n40461 65159\n3555 9220\n40122 82226\n17769 38318\n4729 9736\n15154 43179\n13392 55959\n40770 70128\n76790 83519\n8464 33806\n48814 82814\n70166 88175\n50075 62378\n10426 70154\n5096 43915\n15539 29545\n34131 36937\n22990 68642\n41723 52842\n41507 71909\n76795 84607\n20358 50442\n29053 46103\n19601 64829\n16857 36182\n13831 14470\n78977 88685\n33562 50513\n21224 27600\n43694 92391\n10488 89495\n42147 97741\n42020 69945\n128 69502\n60814 73469\n796 50398\n5307 17359\n6371 16149\n74448 98063\n64529 72386\n62714 79469\n75396 98191\n1439 78299\n82092 99704\n497 33042\n8838 32671\n71582 99529\n4872 42841\n45321 73425\n42102 59327\n61298 94819\n6248 77876\n34264 54054\n63533 78286\n60666 76721\n1114 53830\n6642 30280\n17268 87044\n23470 45696\n36244 94032\n3983 14518\n53373 64572\n10559 98438\n16309 45209\n51932 66123\n59943 93566\n10948 87811\n94097 98676\n57258 73891\n50 23328\n27185 79220\n39262 98198\n37618 63432\n16838 26110\n50151 64374\n15040 88698\n37721 93783\n78831 87448\n46793 96834\n33528 92415\n5293 79281\n4526 54903\n37202 63849\n11407 49281\n3213 4768\n13727 35014\n42846 81248\n46528 68613\n39791 47661\n2264 89381\n46517 70183\n51189 56316\n44699 92106\n345 62929\n49062 81792\n38974 82036\n67904 87937\n45974 81605\n20560 61986\n80171 97744\n4845 8347\n9838 14364\n35319 85389\n85306 92952\n46335 50443\n10819 51689\n27489 99505\n4251 47240\n40817 67297\n70736 85805\n33348 64520\n19312 54695\n40711 54968\n29030 43116\n26944 55846\n49419 67647\n33227 71136\n18136 22636\n32611 52722\n13788 74782\n74506 88017\n23276 33782\n88877 89226\n81870 99690\n55289 73677\n62194 95871\n14637 61196\n29228 88284\n66370 90407\n15130 74313\n51549 89305\n2444 67309\n29465 94995\n38301 72033\n13704 16219\n11024 48496\n20616 87402\n26156 30733\n29869 84717\n8503 87617\n14999 71546\n44951 51854\n10211 74293\n49887 92305\n1631 58701\n2627 19942\n27944 29507\n12314 24533\n4601 18449\n2266 57910\n26411 34865\n30848 76491\n15618 73395\n44217 69859\n70352 95099\n32729 77951\n36944 90597\n48713 94997\n7497 14842\n13126 20877\n1922 39679\n54501 87606\n45728 70438\n20387 38319\n6235 52013\n25755 35901\n32785 41137\n26721 78198\n12763 93158\n10048 34040\n92249 95464\n33242 67524\n43619 80168\n4906 78597\n4800 96674\n10830 86032\n25776 42138\n12687 88329\n13492 73934\n49588 57608\n37119 51440\n13359 40190\n27129 74847\n64082 70911\n7275 73372\n18261 64873\n8008 15948\n16636 68326\n8432 64703\n29384 66143\n65292 84904\n4378 75577\n21525 99399\n31184 92738\n15991 18990\n7171 86660\n10095 43453\n31043 52613\n8744 14689\n34449 41618\n39641 42407\n45210 98479\n58661 96827\n1753 11317\n13623 58937\n26158 49150\n35475 36526\n52312 85081\n35687 52548\n53422 56488\n54466 79885\n9536 72343\n14989 85160\n32336 86347\n26788 56611\n93475 97789\n71414 84752\n74787 85209\n20043 91721\n140 23471\n5027 89754\n68598 89025\n8149 20930\n642 57606\n11047 46047\n45116 87648\n13907 65603\n38923 70075\n7303 7495\n4429 72684\n12659 89879\n42700 87271\n47939 86242\n1196 20187\n33297 43918\n50710 95056\n82474 93389\n2839 55147\n18243 88305\n20092 35397\n22279 80231\n1103 17511\n18117 39629\n74496 85431\n20286 77618\n45179 89534\n34263 90980\n53349 57094\n20809 36183\n38511 54254\n38860 57236\n26839 96077\n7608 9211\n97408 99445\n16323 74211\n35475 41292\n16099 87798\n48539 60495\n44462 63477\n74472 74913\n4440 23630\n1688 63796\n44515 81069\n26506 65268\n76599 88338\n42627 54546\n51570 64052\n38932 49411\n15881 68416\n77774 84637\n8390 24061\n26388 81940\n69072 83546\n24531 49347\n29017 35210\n8158 19147\n46687 57395\n21767 81830\n12378 49091\n17492 60069\n22748 73653\n35137 43393\n21699 94872\n39218 57469\n11770 33297\n6503 41418\n231 81364\n45313 95599\n38311 95966\n29191 72665\n30187 62254\n18996 24868\n21690 58700\n6751 81007\n82533 93969\n34425 98262\n41469 99751\n44046 59581\n34425 37812\n18445 97398\n64010 67803\n10929 28354\n5318 27414\n53366 94599\n3466 40578\n11441 20175\n67778 76537\n31718 45506\n21975 47345\n78641 80740\n81248 92188\n58883 69199\n18666 82114\n81742 86401\n3610 46854\n32955 79426\n14552 93342\n77796 78101\n60684 70202\n49592 81972\n30792 50864\n30810 73412\n53122 70810\n40075 64951\n69967 77379\n40965 91358\n56943 81355\n26506 40114\n9201 42153\n57173 78898\n81335 88151\n63986 81275\n23849 77701\n59726 69211\n63693 84069\n26476 34504\n51194 70391\n56514 58400\n31658 36864\n21522 78700\n33397 65597\n42898 87921\n35899 42210\n5376 87357\n1460 67340\n78082 84889\n7964 69555\n18353 91260\n64752 73764\n46616 87642\n32653 97016\n22480 89331\n5508 64968\n47876 71395\n13415 94120\n60004 88916\n43903 73516\n78303 86512\n37480 86417\n22647 64128\n8836 32470\n17364 34647\n57718 88951\n5414 75952\n4484 55890\n48581 88224\n6082 86804\n3897 53752\n5171 23599\n63757 94957\n61149 95599\n27919 30770\n20575 72661\n3589 16703\n14670 35933\n19145 38810\n86183 98621\n24102 26792\n19329 70569\n20918 28929\n55070 68563\n63255 90415\n27873 60186\n33969 68514\n69559 99624\n39515 89287\n40256 52076\n39775 82895\n61151 77347\n45401 66991\n10080 30929\n36690 80192\n13620 54114\n76018 93680\n59333 61099\n53410 63324\n38996 59365\n17761 93551\n69173 96801\n19724 72438\n28323 96838\n12099 44254\n55208 63359\n50050 65748\n33558 45138\n45845 91275\n21999 59704\n2042 67153\n4040 13116\n56232 78982\n14394 85485\n6004 63710\n66477 93756\n20519 44478\n52802 97807\n7801 46215\n22576 73176\n18976 72609\n14353 37279\n32424 67361\n85910 93086\n19123 48740\n5638 43966\n13986 99788\n17107 41843\n34420 65673\n66172 68895\n39940 67288\n609 85230\n10425 37918\n30662 71878\n17890 36312\n11147 61065\n18940 82615\n2057 77688\n44825 50161\n23081 65570\n18743 85271\n50835 86378\n67493 76020\n42813 48192\n31104 41921\n70067 89450\n44515 79960\n17002 43870\n4418 9853\n23151 30945\n30640 35977\n20494 66070\n39901 81406\n1921 71737\n34225 90535\n58546 89616\n28786 90212\n8206 74750\n28056 94643\n843 55575\n25872 72372\n95 2945\n1668 56425\n10632 13572\n47583 55977\n2618 14869\n39695 94070\n17981 88246\n8336 40623\n62073 66586\n45600 93039\n48727 83730\n62849 93002\n82117 93776\n4792 68901\n30592 81082\n7897 42581\n4612 39021\n80579 90278\n47156 52549\n570 68247\n21357 42515\n53268 65505\n42944 84373\n7477 63259\n23991 98660\n54848 81415\n20642 20977\n44297 95528\n21916 24155\n10044 60887\n26807 60737\n832 20219\n59221 92833\n22343 90852\n47838 99474\n33124 46206\n10891 95441\n666 4489\n29983 68052\n12710 37917\n31527 87297\n62812 89892\n12000 86832\n4261 49885\n18675 52333\n59942 95941\n54853 92464\n65614 88390\n13214 64521\n3267 62351\n17179 49086\n55563 57457\n11830 94259\n47804 63637\n75102 91644\n24172 60029\n16300 92824\n54768 65038\n22108 89521\n7465 75022\n13822 52124\n81439 91589\n30345 62688\n46603 93229\n30951 84726\n77772 98927\n73591 79926\n44735 76697\n17016 37698\n42428 53591\n71597 91284\n35727 68747\n27618 91454\n13493 66791\n524 17817\n76608 91480\n47412 50824\n22361 66137\n57641 67695\n1755 25644\n35286 98529\n27236 56098\n27536 94841\n73898 76473\n8817 64359\n7724 45166\n10947 63981\n1652 91013\n7903 69541\n17291 58812\n32867 80713\n45003 70289\n37905 82503\n42415 44204\n56778 66988\n12911 35600\n25742 99452\n414 59757\n70624 95498\n14270 26330\n53235 53797\n48562 58362\n31453 94666\n73467 82747\n5723 58654\n24508 46778\n15867 66192\n81514 88632\n8004 88146\n47953 75659\n77454 87542\n3357 60930\n76701 96962\n98017 99981\n26072 80462\n30969 83318\n70690 82413\n51987 60156\n8601 17029\n26126 44661\n15988 59217\n74328 79980\n48516 88124\n4764 58410\n20221 36292\n28430 28763\n1197 47943\n29785 65051\n68887 72055\n46732 50645\n43133 70919\n5158 74841\n56335 68354\n4017 87913\n29166 87137\n5411 61853\n65789 92724\n6512 59538\n18857 52073\n23405 23503\n36997 88299\n12155 46061\n3473 13509\n9849 64443\n70703 74205\n79770 88928\n39683 49544\n34278 88178\n28242 69527\n14779 17234\n2174 65171\n234 93209\n26058 86670\n34255 55420\n12229 15406\n41816 47567\n60095 89901\n21353 39234\n13765 28875\n35520 49440\n24648 84550\n7631 40205\n72388 84860\n44622 71603\n11854 80316\n23751 72750\n18843 55559\n31644 76171\n1686 59646\n35892 64721\n6974 66457\n41725 99482\n9852 26274\n69988 74653\n13061 20094\n27218 64425\n34347 41117\n8054 8236\n38336 92229\n11132 94740\n17453 99920\n17131 57714\n30393 85117\n3812 63390\n9839 50527\n88064 95884\n76534 84889\n10273 23117\n51005 72067\n43920 96597\n5238 64955\n64384 99157\n7522 64521\n64336 80634\n25185 99719\n13821 28843\n40738 65210\n32032 79103\n33197 43355\n57190 76592\n10578 36643\n49675 75881\n17119 29139\n40995 97526\n51693 58275\n79374 85522\n39910 70877\n8846 97974\n27672 68638\n71929 75295\n5364 89116\n34167 35918\n54723 60023\n36825 97416\n55693 71266\n56273 80439\n54472 63794\n82324 91915\n58725 88760\n6936 44993\n72448 97879\n26860 90836\n10381 81184\n81627 95281\n27416 87184\n89842 98070\n1699 13796\n45302 70892\n43654 90475\n7366 62228\n77708 84653\n45784 50407\n48649 62408\n15390 43137\n55638 72493\n16677 59171\n54660 76531\n58156 75698\n48053 93317\n16127 64476\n22912 41993\n79675 82007\n53676 78373\n4232 4632\n53827 83858\n24952 54268\n4175 41030\n9199 18895\n41035 83608\n2197 7986\n89082 97589\n61611 93786\n12209 26813\n52852 57411\n13993 66864\n37107 64899\n64389 97770\n17187 18585\n27399 93676\n27079 48003\n15921 86036\n17927 55761\n41909 90229\n16393 68528\n54680 71370\n15159 34460\n24223 71982\n35283 83663\n26635 39203\n12547 21666\n67580 76300\n53367 57777\n4501 82709\n3911 49243\n32445 57832\n55831 74872\n6888 35955\n22756 57725\n46246 92444\n17781 21585\n12672 88860\n14998 98746\n431 27205\n8136 9838\n79484 89866\n34923 39390\n87797 99470\n80993 88389\n7475 93983\n397 24086\n36239 74945\n9154 47255\n29444 96682\n3485 9783\n2103 3781\n21111 74732\n75192 93063\n5900 63224\n30258 95742\n4382 49839\n16698 75805\n91557 95604\n62741 98767\n37650 73985\n57700 69043\n34887 73175\n1650 51899\n45261 95444\n44387 57493\n10360 83369\n61972 74348\n40560 65298\n11390 27148\n6981 56886\n16845 97297\n18553 48642\n53633 96718\n50519 77072\n26818 85375\n12196 44196\n88237 92672\n63561 72419\n59127 70021\n47784 53111\n57314 61845\n81222 97298\n1549 60279\n50599 71373\n77183 95569\n9494 84478\n22310 35653\n74208 74799\n46349 61490\n46668 66958\n22090 98332\n32452 39114\n28350 80185\n3346 48213\n29297 50612\n9792 90941\n38212 93994\n70638 95283\n5358 6284\n35965 99989\n15586 56992\n63232 94068\n3506 20749\n74441 80740\n6890 13772\n7538 56682\n13668 25630\n34182 49320\n82428 93734\n2169 74754\n83018 94162\n55974 57159\n9060 61440\n10081 86447\n20417 95007\n48074 51408\n48050 76171\n28512 91792\n11100 56950\n19682 72120\n46725 89996\n22946 82536\n14110 14515\n7642 98272\n18024 87761\n1294 8703\n68668 83159\n6535 9881\n29780 92198\n18009 93624\n79284 97041\n50474 82731\n49222 69113\n46370 96547\n15362 86547\n49784 91083\n8448 65508\n35961 74647\n31093 90342\n68 42633\n24955 73360\n4562 59745\n63385 71116\n7220 71154\n70495 80676\n23100 41638\n60452 99681\n6964 35246\n28272 60013\n43425 76915\n4543 18295\n52341 74759\n21179 28616\n49436 95220\n1125 19567\n5756 28000\n2810 71181\n79244 95095\n58713 80557\n51589 85990\n84727 92226\n12571 86873\n80265 99773\n37913 41965\n8427 9203\n12945 70954\n32673 89389\n26642 96798\n59028 69256\n15554 95114\n24378 56556\n32540 72770\n18936 41398\n19933 76366\n30874 85007\n35248 76821\n52370 84216\n14331 27061\n34777 66126\n32550 33437\n65026 77285\n21468 52421\n55092 90508\n22988 49577\n20240 94033\n14909 40751\n35150 77100\n19151 22482\n27088 50542\n1978 2381\n43040 57814\n57631 84844\n60319 79504\n71158 72122\n10297 13145\n9115 14113\n4636 6939\n1300 58419\n30019 93390\n35047 94486\n39135 39435\n6315 60319\n69240 96983\n44844 91516\n12345 61269\n64800 71169\n11929 26298\n11055 33347\n18720 80912\n11872 49613\n57603 80235\n47137 90815\n53552 97631\n44804 49786\n21466 66683\n6899 24149\n3876 69527\n3672 44924\n69656 79433\n6191 22963\n27309 53639\n8055 8813\n50684 85257\n34178 39337\n13869 72318\n62069 91715\n24170 83985\n45589 85248\n78319 96973\n44771 53639\n10429 30690\n21572 24728\n58833 63760\n22082 83448\n18684 99480\n39255 78609\n11761 71838\n69865 72322\n3810 84996\n688 64297\n83456 86616\n49902 99730\n23212 26907\n39606 51700\n23939 48335\n4564 83727\n97264 99460\n38716 71176\n731 22601\n61673 90716\n79001 92261\n6559 49901\n54895 76827\n11722 68894\n4027 63739\n5330 26211\n21024 63231\n66565 72560\n14042 74751\n26188 35062\n28879 95536\n43619 56465\n34061 90428\n64957 86952\n15619 63557\n4514 97482\n36416 52061\n18674 76222\n40797 69125\n25997 85698\n41903 98391\n11008 14846\n21414 92486\n39486 87897\n38436 98947\n29324 97480\n4735 70621\n4733 21293\n21095 35739\n50057 88850\n53912 90854\n77967 95817\n40349 78668\n31455 59381\n7181 90073\n81137 92584\n41238 78528\n5934 22242\n37191 86714\n61328 88660\n28449 36011\n18791 53758\n55751 76384\n11159 80690\n56130 98752\n32026 72785\n46643 88229\n5584 85381\n83177 87989\n12213 68348\n88832 96432\n12620 87164\n4591 60598\n69412 85117\n51610 98898\n44461 73431\n3872 5687\n45733 48815\n55910 65592\n66855 86943\n23210 25838\n11442 19130\n12266 76807\n44175 62286\n45814 65609\n20353 67801\n21233 76960\n22926 50487\n38991 71559\n56318 86247\n84571 94615\n18118 19697\n18837 97105\n44732 57596\n9065 58802\n18230 43954\n7360 53209\n31412 32548\n2203 98294\n22645 29719\n7031 38889\n65179 74109\n45304 80848\n65363 86834\n617 14127\n33178 61828\n55852 81924\n27685 87822\n45339 65121\n22409 46713\n39571 77139\n53490 84126\n22418 78684\n41489 50213\n21822 95092\n42233 81410\n2254 15766\n22819 48014\n5182 93329\n39165 70333\n32935 94960\n13791 24218\n64041 64593\n50049 87317\n51439 62015\n7885 46975\n725 44262\n35573 87670\n71194 74821\n247 88044\n31250 39190\n14337 79397\n23880 44247\n29303 38655\n11879 50708\n22160 92626\n62367 88177\n932 54354\n53146 74155\n58493 73215\n31516 77264\n11150 91614\n8743 80365\n2212 9400\n41513 71931\n40922 58760\n9559 67369\n7059 23736\n15155 22133\n93238 99164\n9372 27885\n12961 59955\n6753 9725\n49945 70309\n20186 82049\n19530 93103\n53685 57407\n63090 74364\n51401 63493\n48757 80256\n57623 75177\n14780 97811\n24555 41966\n22934 55151\n13712 95771\n59433 66705\n2074 45708\n5882 55387\n69853 97423\n26543 48197\n65833 67209\n43479 49387\n28655 73617\n63299 99494\n1573 71666\n7568 94565\n2196 21675\n3304 32609\n83 79445\n17379 62582\n43939 55712\n10465 97485\n28822 65251\n38221 63945\n40371 74022\n7884 32421\n20610 63317\n62743 80643\n34580 92753\n9737 82539\n63738 64914\n11096 34716\n31828 45705\n1220 92641\n5914 53146\n9916 76007\n39387 94416\n43329 83508\n41422 43569\n91905 96271\n14021 96184\n6385 90362\n8214 23468\n54646 80717\n19975 53066\n18857 46080\n19526 92293\n74527 96708\n30274 51738\n42429 88038\n37985 96797\n12228 52727\n15308 57458\n74797 74880\n27643 50503\n27139 75201\n44307 90989\n44675 91232\n43845 67882\n67862 96630\n66841 70236\n6422 43545\n624 3733\n63773 69148\n56887 94507\n479 99125\n71431 91621\n21279 63886\n3454 53423\n12146 28210\n13073 65038\n2016 48837\n649 86601\n38778 52782\n7931 85753\n35112 48167\n18737 78910\n16593 74121\n6381 65755\n7525 18481\n20232 65700\n11297 60099\n12310 48575\n25035 66492\n34818 77312\n16529 61942\n20897 30564\n43538 79825\n7012 91031\n42753 53129\n5048 29057\n1003 66148\n78501 81681\n39513 73646\n12907 98541\n9428 86438\n35420 99401\n83579 84113\n21295 84054\n38232 86276\n31886 92855\n53997 88539\n67729 90537\n6903 84416\n22229 84196\n35313 47002\n7831 41669\n50481 83453\n40159 54603\n60835 65362\n9360 20921\n10828 97623\n8666 54554\n16033 43148\n4937 61769\n59958 68972\n32520 87674\n95325 97513\n37126 84762\n10348 13703\n39220 72655\n16252 65115\n29696 60142\n5985 62388\n33264 36619\n46320 98900\n254 61111\n65228 70044\n86038 97971\n58484 89381\n34688 58556\n6078 79513\n29763 89223\n86303 94001\n48945 80591\n59821 82495\n19441 68390\n20528 60079\n30659 73257\n81566 92468\n39393 47681\n56166 96209\n2685 19661\n35406 52534\n50059 70612\n42818 69719\n12565 69790\n15299 16574\n44344 63487\n40540 98739\n9765 70546\n50336 92286\n4154 55938\n7683 32059\n914 66937\n28099 70962\n31560 99992\n42319 50126\n22552 85437\n31767 60144\n23931 87665\n51753 66766\n793 45215\n23840 29002\n40973 52826\n30287 60862\n55080 70322\n62039 89235\n7709 94494\n8630 41118\n6728 49309\n13971 71656\n8006 65941\n27303 29843\n26909 95933\n38124 68118\n11648 73238\n45783 86779\n11802 34833\n11232 62142\n75448 96690\n32476 50818\n13962 26450\n13078 95158\n38390 90361\n8533 90969\n4712 33378\n35168 75436\n4775 52032\n1726 95389\n13494 42860\n41244 58933\n42 55551\n11965 79927\n795 54376\n48537 82193\n59088 64161\n5607 49604\n39752 98434\n81286 92646\n12453 42145\n46581 78850\n21726 90639\n3291 92422\n11150 96467\n14730 24261\n17184 58335\n43936 69680\n42937 54078\n48209 99913\n33208 39298\n17551 73687\n59585 96856\n6546 16923\n19593 99322\n97803 98098\n30430 76636\n44121 91800\n95876 97868\n12146 79597\n49402 75650\n19714 30504\n25196 32977\n62346 63549\n40276 46506\n67814 98626\n1380 18154\n71427 95766\n2083 48124\n35101 89362\n30072 70093\n49834 83491\n7517 71078\n8109 92914\n56500 86300\n25524 43856\n28796 88291\n49752 96543\n10648 71492\n37027 55976\n4019 43207\n39490 96528\n10024 56269\n2692 51043\n7247 73807\n471 33989\n31370 78898\n14788 54000\n4461 91180\n18965 95891\n20173 35418\n11663 84461\n2035 59028\n10901 28594\n38912 62878\n23818 85966\n43114 61562\n44587 47625\n49440 68143\n19166 77255\n4987 26827\n25860 96257\n7797 37703\n26790 58144\n34522 73970\n13789 82890\n23476 36075\n17779 80085\n8861 59561\n20104 27826\n23918 90027\n18797 54869\n600 65341\n6017 74426\n3730 61872\n21532 40444\n67673 87007\n18964 45568\n5676 72088\n15354 86141\n52447 70004\n19283 86533\n33476 89911\n56796 75974\n15343 38201\n35862 86695\n19212 47442\n47977 68316\n10260 49495\n54730 97129\n19939 41755\n47511 55911\n4715 44697\n67952 92471\n9203 80335\n46739 78300\n67266 73613\n34913 48915\n19107 41198\n8136 20334\n486 68450\n13261 75102\n44279 71860\n93687 94229\n59743 97825\n28401 76548\n1679 43233\n56223 57877\n9663 21815\n2391 74877\n29890 79845\n65889 97299\n11423 52150\n24161 98563\n71412 89992\n48674 98242\n13338 45255\n59216 69085\n59014 59314\n12666 48145\n67574 89842\n54040 86946\n55954 67120\n14157 47917\n63617 86503\n49874 85275\n34233 39250\n12984 27958\n47472 73534\n4978 27107\n5244 58715\n81564 87725\n11590 27394\n39283 55521\n67183 74306\n25382 35826\n5651 72756\n13408 94157\n6784 11870\n75580 80499\n68050 78048\n6852 69552\n31084 43691\n52119 87206\n1430 59487\n40778 46629\n70623 96667\n20433 85970\n16576 82638\n18915 48281\n83284 89895\n35051 91372\n33187 90834\n34638 92498\n41249 46350\n19312 64920\n2859 15122\n49047 94355\n39724 68016\n19584 96055\n9298 46863\n43147 74067\n4710 54291\n44923 93903\n1500 9461\n75268 88035\n9403 36962\n72226 77096\n51583 95437\n22720 80052\n66499 90845\n9469 33466\n51035 68244\n33074 68646\n7980 95392\n4906 93747\n22231 58917\n55002 86362\n41464 53882\n32997 40697\n48132 74838\n58774 85931\n77573 91016\n35087 85109\n39915 42778\n24420 58309\n1987 99543\n6306 85115\n4906 72027\n62503 65089\n61757 85379\n7728 41245\n17283 19465\n24402 73933\n37168 84333\n9928 43791\n18720 55684\n22048 97770\n65892 88357\n25088 80826\n32831 55904\n8870 35851\n14332 64675\n35002 87331\n28951 59483\n63348 81345\n16885 26317\n43656 92561\n72216 91334\n54269 87420\n19644 72889\n37900 84296\n3235 87574\n32670 91930\n3129 67907\n26583 58785\n5992 44919\n14249 50457\n71436 87649\n34390 69339\n20115 91642\n31081 38074\n27078 77617\n85417 90506\n28279 61554\n10145 34382\n5417 43579\n7214 85770\n33477 50746\n8642 78489\n21876 81487\n40549 45659\n19248 76838\n60603 81526\n23235 60945\n25380 51992\n67294 96346\n35133 63168\n4167 70096\n2632 70711\n4548 50668\n36059 62301\n31480 35620\n55105 73168\n48616 80686\n3673 87257\n38706 82782\n14225 98333\n54 19186\n30924 65893\n17984 54861\n76940 92504\n63475 95389\n71154 88959\n16220 22902\n12503 46632\n4887 43967\n36320 88882\n21268 80763\n22983 35686\n16225 29024\n41506 68987\n68211 84427\n49870 84500\n37798 45235\n5679 72294\n31106 32011\n98056 99584\n45386 80758\n33230 78222\n11965 16256\n42815 99604\n28013 87441\n11716 38296\n25466 29235\n18495 71802\n8011 43229\n8148 29168\n49953 82368\n55222 70163\n2419 44277\n28269 66075\n88038 99727\n14098 48766\n63649 89792\n92064 98320\n85942 90804\n18348 57878\n31845 35436\n61317 86222\n40843 75822\n55217 96836\n58104 79061\n32731 66179\n10941 99938\n49962 92864\n25606 69668\n3298 76572\n21775 96008\n5364 22679\n78735 80231\n34501 84754\n69587 70386\n13694 34611\n6738 25002\n18773 40769\n19683 26006\n18425 93765\n48480 85053\n34960 56818\n16749 99042\n11889 26820\n38581 74503\n8941 18847\n10564 69564\n51316 83918\n35914 99987\n30557 99063\n16890 66583\n20452 30500\n59296 60461\n35675 76857\n32690 68295\n41763 90586\n22017 62209\n66578 71602\n53540 87640\n52170 78667\n51476 68885\n17717 22467\n42686 44948\n11097 55950\n67343 71572\n3179 73166\n5446 73685\n34310 97367\n38674 59529\n51717 84650\n14017 74526\n39277 99063\n24590 53644\n23081 92809\n44088 71360\n68395 85397\n19986 65097\n57800 94011\n9860 66286\n2494 95275\n7587 46153\n80474 86074\n36236 86785\n10207 64663\n22403 38691\n14343 82542\n15349 80179\n47013 77953\n30912 73015\n15115 50970\n20461 37173\n19832 59616\n11586 80975\n77114 95426\n64915 78265\n74210 76737\n12544 93643\n35598 69803\n5281 10895\n52460 59544\n24015 68042\n5960 46767\n10655 21786\n9564 65572\n61493 91735\n1274 61112\n17996 42565\n12645 17855\n54033 79172\n23748 83548\n21686 64837\n33988 98418\n55199 71668\n49459 86926\n56358 86380\n64910 72591\n40910 50008\n45059 91560\n7659 11372\n4419 76404\n3210 40549\n45746 87878\n7160 72324\n13275 61423\n37454 93752\n27916 45278\n73847 98379\n38690 40329\n7291 45817\n32407 35298\n41771 82583\n74769 96008\n46680 49366\n19971 65233\n66668 84337\n1951 57579\n26531 95795\n48771 87397\n22442 45752\n48417 86995\n43040 84535\n52350 66595\n47959 81574\n10365 17814\n21126 93534\n38624 61750\n37440 88935\n45454 78250\n49778 67055\n6799 20912\n10419 79584\n8202 85658\n32583 70565\n30937 60682\n22732 50212\n4860 89469\n47167 64339\n33514 70482\n8532 85300\n6056 93280\n27041 80815\n18279 89357\n17019 68061\n50351 86094\n17282 76841\n2641 59168\n37177 98804\n25581 97176\n84153 87069\n64576 82948\n80345 84029\n15442 24758\n9152 29807\n28538 68026\n18112 46949\n34956 85798\n83676 85366\n15535 90241\n24943 47362\n41191 94913\n19101 92354\n12082 64185\n185 23542\n11422 14481\n10675 64048\n2680 12923\n71117 91834\n25695 81462\n36011 74298\n20849 80122\n27729 28442\n76783 97292\n2959 43351\n74638 93013\n28066 93705\n51659 52559\n58136 67757\n3953 72404\n51921 53111\n17762 51205\n20044 97893\n3314 98780\n75261 83579\n44402 76370\n94711 95692\n34474 81623\n54112 99339\n41627 96675\n50062 61909\n32081 99343\n14416 68943\n61264 81090\n22015 61025\n52341 82825\n1148 91783\n68552 83798\n4288 10581\n8864 42274\n74702 75512\n72211 92796\n24587 61246\n44825 87218\n16301 94926\n9894 81242\n65233 87036\n49207 75377\n69165 98761\n13882 78859\n43110 61376\n1936 2593\n20239 96226\n30618 90553\n54387 56878\n58732 96415\n30545 78398\n5460 64583\n33006 93814\n1438 14680\n72615 91824\n63219 67211\n30796 35918\n40577 86786\n18229 52477\n16447 61619\n36985 87259\n3985 21659\n11054 15789\n35722 81111\n17627 73874\n71592 83125\n40257 73374\n8519 10700\n97351 98145\n18101 74749\n34339 93754\n50130 91127\n1744 6710\n41915 80438\n31945 48230\n20461 58402\n43030 67715\n60877 71286\n44494 56414\n13528 79977\n10162 97642\n25150 64989\n62916 65598\n8380 78793\n44624 57413\n2997 83643\n27374 75290\n4961 48390\n19550 96106\n29167 92140\n17922 40001\n16700 36710\n34849 90094\n55697 59786\n39076 76682\n26044 45915\n20571 69104\n1178 81749\n20596 44395\n10477 51488\n14257 18681\n63278 98473\n27901 73794\n23629 87703\n28396 69175\n43597 85145\n39244 75765\n37571 97131\n22034 76243\n33465 89720\n1577 55627\n4480 64647\n16818 42851\n28277 75161\n89268 97741\n3980 95983\n41454 96639\n27581 33868\n34298 49841\n65091 72623\n27705 91570\n76959 92877\n44615 88822\n706 68108\n34168 75666\n49663 82548\n44304 65666\n96358 98672\n1670 84880\n24335 85297\n43749 73416\n5007 66805\n28880 50860\n34833 93642\n6973 89922\n64576 89316\n61532 87539\n34737 91073\n48245 58801\n75834 86242\n7158 34258\n17678 20490\n31337 31929\n58045 71857\n61025 89650\n13923 25663\n9236 70820\n31478 97258\n2041 44411\n14810 18927\n41494 80580\n61654 84824\n2229 88522\n34110 55577\n29362 92301\n50504 76799\n34440 50458\n29856 85547\n2091 92094\n45160 52764\n56472 65903\n40352 73524\n25043 78495\n65018 88990\n23392 39858\n15460 16181\n21888 62239\n46841 58936\n24469 85397\n2860 66246\n35442 59606\n24657 24853\n54766 86744\n50500 68377\n46031 96341\n70553 87646\n8095 26612\n25396 80451\n43982 66103\n52 284\n97757 98378\n50520 93211\n43103 62753\n37235 52422\n51970 85237\n32889 76732\n25189 74519\n26078 37699\n22825 43575\n56732 58522\n7898 73260\n10595 92564\n7214 55362\n25758 84782\n1483 10154\n39965 47870\n7143 57167\n61071 63861\n89960 95052\n1522 60306\n2347 44974\n120 88484\n1577 85617\n45675 65114\n7738 40430\n35915 60059\n93532 99306\n11789 69361\n9775 21468\n69408 76865\n4095 73436\n38984 99953\n78720 86445\n4701 10749\n24987 54028\n3703 85612\n3256 28432\n38092 83508\n65388 95122\n34993 47229\n29883 37513\n56475 70225\n493 73411\n24493 28752\n3256 20972\n7831 38096\n58810 72910\n63552 79570\n31456 81762\n22123 34201\n2926 76967\n56080 66534\n48123 78318\n45607 55986\n7810 66152\n19322 21488\n37628 86139\n23475 80519\n4256 58477\n32963 55429\n48650 94538\n23128 94272\n95791 97565\n38275 98155\n12685 82613\n59991 68440\n83750 87411\n54509 87685\n34082 56114\n53391 81727\n21380 85237\n56403 99341\n50540 55669\n70205 82618\n24321 33102\n61275 68941\n8176 26569\n61555 64325\n12359 79009\n96193 96953\n16381 80062\n40731 82233\n49837 63818\n6712 20182\n10216 72322\n22014 97687\n79690 90035\n49729 74927\n4109 29308\n2440 54363\n12403 72481\n33025 60820\n5990 47685\n31593 45478\n15731 60678\n14606 74752\n28145 99074\n15507 82313\n41378 97011\n53714 61232\n11966 31537\n46198 61702\n1113 44537\n35230 81340\n49930 68790\n57242 99151\n5604 13599\n45806 94876\n86889 91188\n62531 99495\n29693 88014\n439 52016\n1165 75534\n68006 87969\n59726 87978\n21413 29210\n56951 61154\n1652 77482\n39641 47956\n3655 48894\n2309 13132\n50904 88935\n10084 28524\n52941 81055\n8352 59932\n21590 86575\n35794 79947\n18747 26362\n20770 27071\n629 28679\n37040 84978\n35188 77904\n39292 55602\n19140 60432\n11782 56775\n24610 48945\n60889 90432\n62364 88395\n54337 97777\n835 57779\n44348 64189\n6208 73177\n7185 34246\n44086 91143\n4404 63855\n10610 29326\n12652 32399\n32987 45757\n22602 56356\n806 84138\n31885 74049\n58600 94045\n21146 77870\n28299 63950\n23221 57177\n74125 89274\n1299 17712\n33857 85415\n44717 55531\n60321 62476\n3350 57507\n12052 40335\n42516 57797\n13992 50209\n73261 74745\n64715 68076\n6280 65022\n51519 60025\n29559 44544\n62049 86389\n915 16230\n26013 95240\n6651 17933\n12116 33033\n14200 30022\n18779 75475\n10910 98863\n1799 91819\n64059 98331\n7870 19166\n30591 59222\n76893 97852\n6986 40975\n46364 99686\n8651 69998\n12032 17702\n13197 81299\n15155 70920\n2835 6743\n24128 47810\n12421 19274\n51412 71423\n31842 87519\n6907 75073\n20470 88778\n5327 45179\n24666 70373\n7322 59523\n70079 70322\n55918 58754\n28528 60424\n1476 84533\n7649 56547\n10224 19764\n33408 46276\n47645 61988\n76001 83238\n16012 56224\n59723 69069\n6450 19416\n25270 46633\n62286 95202\n47954 93847\n8246 67052\n58913 61739\n51577 74487\n37327 38650\n33654 87930\n5819 76670\n61671 74692\n53060 84159\n5748 18874\n43493 82888\n25416 84284\n13 78044\n58666 66091\n25906 49188\n46860 63958\n42539 45171\n34346 39614\n39807 70406\n32286 69679\n17241 53083\n35327 93139\n61061 74392\n37582 88696\n8888 37618\n57390 62582\n17368 65165\n40023 49886\n31057 86983\n30420 44701\n18183 62784\n14854 48581\n21305 31349\n28759 96951\n2606 24941\n12083 47147\n7628 38451\n29109 98838\n17749 58654\n59910 67271\n45950 66575\n42964 92187\n21928 45337\n43266 86697\n11481 86778\n64454 96745\n57330 72487\n40065 57160\n32239 39898\n43587 85831\n18312 37174\n175 38135\n21346 98596\n33046 65694\n33635 43046\n38363 99114\n4822 47339\n38049 58589\n6744 41631\n56105 72887\n27822 83498\n16016 42832\n74534 83697\n81942 86516\n3662 41391\n84788 89908\n83053 92299\n21918 48608\n42840 93914\n2195 60127\n72499 83731\n3538 74694\n64587 95212\n20165 64453\n7072 99687\n30875 85686\n69279 71179\n39328 76816\n6905 34862\n2130 49838\n24764 98246\n29000 78332\n29166 85707\n30308 56505\n57995 94105\n63346 74081\n10265 90353\n8793 85930\n59332 77094\n4949 31116\n17933 80210\n35252 48769\n31707 42510\n59867 64522\n66627 87836\n1889 70938\n78282 96570\n29473 44468\n49425 58208\n68942 82059\n3963 14693\n11068 51697\n64951 73979\n13499 81852\n67915 88771\n18605 21185\n72345 89952\n2360 82156\n23941 65976\n39079 55157\n15737 53445\n8137 78460\n49568 55182\n12849 45770\n41703 46846\n13104 53481\n36525 53997\n17763 53992\n47460 87943\n23906 44683\n13400 96033\n47727 77892\n43523 98945\n19966 66389\n29171 80149\n30825 93349\n43015 45071\n48316 88800\n25484 63911\n40927 74622\n11716 88955\n91153 96542\n46039 85479\n65284 86735\n19825 87174\n17082 51594\n2175 78309\n2687 86043\n8961 31909\n17994 51778\n20008 82087\n33021 88987\n14142 89959\n54091 64082\n26848 34925\n35763 58426\n16144 21844\n37228 85948\n63175 68491\n1455 24524\n28035 72562\n52090 76464\n56729 71694\n49933 78793\n11132 94296\n8568 18952\n50038 93040\n20834 49470\n53984 82448\n8815 35261\n3383 46557\n33884 70090\n41095 71269\n27485 51154\n9870 94266\n55267 63481\n48311 83230\n5474 18591\n13568 58354\n17816 93114\n50472 65465\n78626 95499\n20654 72023\n2116 26644\n6344 61361\n13410 23991\n1555 66361\n76645 87511\n34526 56251\n14764 69381\n3026 40062\n39136 46622\n28227 61161\n57163 65377\n30771 49024\n20737 53993\n13605 56720\n27733 82571\n87635 89842\n59494 74303\n40016 91587\n18460 41026\n6062 23159\n27801 76160\n18661 74615\n14729 56248\n75189 92473\n5955 25616\n41674 52391\n26336 74810\n46848 58135\n42788 67236\n47979 81647\n6637 84210\n63921 77389\n22284 67139\n37398 81053\n934 75817\n43544 89995\n45383 75528\n543 9976\n80283 81814\n51709 88305\n9018 66445\n19019 78116\n79592 86829\n8522 97351\n11215 91405\n4276 7354\n28956 49240\n590 91639\n75266 77741\n4735 63552\n25709 58569\n89104 89493\n33450 99751\n52306 59770\n67639 77639\n236 77836\n18432 23697\n11765 84587\n35468 83932\n42322 64758\n52122 89461\n13127 38650\n66724 85776\n33290 38816\n75298 84842\n41005 94390\n25452 29847\n24147 31454\n10466 99338\n61428 88166\n66749 71777\n18782 91171\n19638 58606\n8486 83428\n37522 46156\n16475 96994\n29359 75905\n4206 56349\n27181 78333\n53155 63797\n32420 70669\n38033 86676\n16029 37133\n87691 95411\n5623 92637\n58487 97151\n11941 55202\n11621 65598\n27161 84388\n46647 90411\n30014 93124\n7386 8451\n31071 70357\n33548 69681\n15222 93264\n19179 45955\n7438 74009\n30666 34599\n796 12012\n54014 91459\n83094 95949\n67801 96662\n4864 32242\n10042 39906\n1647 67891\n11598 75365\n50282 92331\n5796 65514\n48023 96495\n53282 87753\n22262 66982\n23557 48835\n46450 87386\n18707 76679\n63994 76274\n26799 30702\n34130 55373\n13727 97116\n10204 38578\n65377 72808\n53052 72086\n4305 29031\n32708 93373\n21492 87125\n42946 48137\n3687 70061\n23020 68889\n6221 60236\n48884 74965\n29383 82630\n44491 88062\n7156 34862\n46155 90485\n30318 49435\n1491 71268\n56758 98379\n20267 94981\n5734 53179\n24472 64469\n5803 69646\n28661 99160\n24030 44688\n39542 45969\n10832 49814\n43573 88147\n4140 9507\n66916 82449\n49904 65913\n6853 43640\n70495 95256\n21932 97654\n9146 70300\n34034 82348\n22801 65788\n44070 51577\n41982 46530\n4333 98144\n87555 89586\n59296 60593\n35239 47266\n8693 22267\n13268 83139\n24791 48110\n34937 72308\n6473 48576\n25623 31134\n10440 66041\n13399 97161\n57006 60800\n80201 91683\n48320 98966\n17352 57400\n20114 45473\n64872 90048\n44121 72719\n6632 20360\n2475 98927\n67186 99354\n49320 87823\n72524 75337\n1180 53530\n23162 69033\n51118 98100\n17027 91473\n4697 30036\n50868 76484\n43783 50981\n28200 83529\n52598 74107\n62317 69665\n92958 98441\n46705 55977\n48595 88875\n9692 85257\n33493 37711\n21957 33890\n41840 42227\n44165 69058\n35219 61513\n36976 56479\n36458 97759\n2238 66807\n38862 42508\n30894 52843\n36085 90600\n33361 37825\n40924 97583\n292 89691\n23399 91476\n30611 67922\n50448 67391\n32033 56750\n13075 83880\n54056 56219\n40737 85580\n37662 86124\n52698 96468\n2698 24825\n30464 70686\n58020 98864\n60451 93437\n67576 73318\n10561 96743\n24016 49259\n906 67632\n30102 38519\n18082 20830\n1855 43332\n3466 56716\n13307 53853\n28497 59289\n34611 89600\n73528 99850\n51631 93935\n89924 90851\n27761 87284\n24708 70669\n32165 77074\n62075 91146\n13795 25827\n27540 48539\n27277 44075\n24376 30441\n43811 65055\n17465 59450\n51200 91143\n16973 54636\n15744 98955\n44671 63376\n13974 31353\n26599 52505\n75663 88659\n13628 96955\n1149 53980\n30394 48548\n17767 77451\n28307 87833\n57598 70567\n41683 52096\n47581 57932\n11276 59072\n14724 45556\n23515 39522\n25260 46542\n1632 80601\n55629 58718\n11578 20764\n16017 87064\n25006 49649\n52571 82944\n2911 3802\n24154 74357\n8825 80152\n34261 60086\n1763 12606\n41106 70418\n5149 79283\n54186 61944\n36785 66409\n10282 42386\n39669 57068\n92818 96249\n21735 76700\n39253 95216\n20338 49249\n16956 61795\n44468 60578\n8789 81940\n46822 49299\n9840 62865\n97635 99812\n9148 39853\n1259 31542\n22871 83714\n21237 23919\n37751 93914\n4014 87621\n85761 87196\n11535 33393\n27180 76291\n23262 34765\n1583 45684\n57569 69566\n64372 69153\n65446 86372\n5632 20837\n4353 74548\n28570 80209\n16252 40749\n2947 29064\n42173 86513\n43550 61865\n8489 8586\n8495 41773\n65745 78996\n23836 77812\n29312 46742\n45298 63548\n35351 35798\n2153 27886\n19319 93924\n39304 55363\n8752 65642\n9759 15449\n19975 34418\n82690 99224\n7504 29796\n43625 96778\n43830 49127\n35440 36602\n61603 97400\n31372 32161\n27433 65105\n41175 71995\n5125 97368\n17112 21033\n1647 34960\n44700 76181\n72 74586\n8188 80250\n20303 50035\n47640 93656\n11747 79173\n49161 95632\n42208 83152\n35830 90950\n51038 97512\n64601 99076\n33530 80065\n13480 35261\n11921 69350\n7949 61544\n48083 76875\n39526 90241\n21278 26807\n22597 86294\n6952 39763\n36057 64624\n20374 51666\n18267 72577\n53835 85333\n41450 47477\n14029 58916\n49036 61258\n46570 55050\n30218 48664\n17308 20257\n67959 98239\n72828 76407\n25683 78652\n30183 95097\n26541 67692\n30090 73687\n25806 48895\n18919 26766\n29782 38071\n10416 10989\n17462 69703\n38295 82720\n1123 62128\n44700 68816\n44657 84517\n8225 23625\n32303 78498\n15734 88262\n15859 55884\n10364 11160\n61387 72716\n11015 54713\n36264 68013\n23077 64070\n27214 55430\n88836 96013\n47020 76016\n2406 44604\n34381 94298\n38592 52987\n22664 87746\n57164 83311\n26579 91416\n32192 68572\n5627 19296\n2815 79761\n65608 95263\n13420 51077\n26840 73117\n38788 59072\n22028 43689\n24288 81689\n51751 63102\n27801 35149\n60200 63627\n2558 92822\n20111 91948\n58791 60329\n34274 48234\n64412 82621\n48926 53280\n51373 64352\n37970 96367\n14870 65836\n8055 81937\n15036 25062\n13581 97569\n86473 97546\n13487 42529\n7880 56547\n23392 62473\n72501 73883\n63230 99541\n33312 53924\n48608 53828\n83454 93308\n64762 77408\n20260 32462\n6125 50225\n18198 62713\n14602 57965\n41332 96184\n19882 53023\n38601 48060\n74285 84613\n35714 89841\n4897 62981\n74019 90148\n24026 84810\n34105 39513\n30535 86709\n78807 89747\n27048 27773\n19069 25846\n37881 86039\n32998 99941\n31399 48769\n43299 66620\n19252 43094\n18370 80173\n28430 90157\n70036 76905\n82622 91708\n16265 18782\n8119 33946\n25789 63913\n64339 66452\n33324 87939\n5247 41403\n38072 57527\n5895 61207\n32441 76990\n12547 75465\n42909 79982\n24898 82566\n5542 74741\n47604 68693\n85566 97296\n4160 71105\n93147 94131\n19379 47738\n36508 79600\n16301 67021\n34133 41243\n59371 59531\n51643 70304\n39604 95491\n86938 91494\n23238 90244\n29197 44140\n5013 20001\n27115 50260\n20127 21885\n31759 72682\n32277 99935\n20189 92537\n42014 87625\n62571 83201\n1848 29926\n22893 39460\n72699 74987\n4603 18873\n41399 91137\n47376 68377\n16751 16889\n1918 52460\n86943 88464\n51913 87033\n34738 83994\n39254 82386\n3111 35452\n14609 68254\n16901 42997\n3739 36786\n6551 26952\n18554 52958\n29925 74791\n13362 21793\n58746 96336\n10455 90290\n53837 55596\n76401 84642\n61528 91883\n35282 99541\n20607 92655\n40560 57327\n67082 86325\n54183 72174\n19160 66152\n8867 25081\n53697 95886\n16531 69567\n40331 64437\n39190 83211\n32873 53593\n57246 66231\n63995 79665\n4201 64072\n36439 80650\n34676 53147\n12059 14725\n25908 91480\n28473 53728\n681 86868\n61475 91013\n27318 64268\n50375 89441\n31901 89734\n25575 89464\n30452 99432\n47932 55761\n22825 54738\n31885 62583\n38221 70121\n8307 23880\n11120 33492\n44289 87353\n19979 65265\n305 75320\n13111 13740\n34068 52107\n3896 66835\n60940 71130\n15287 70714\n25437 81168\n37508 81871\n2693 17271\n26944 41210\n3726 78324\n20807 78558\n28483 66256\n431 87299\n10386 12643\n46171 92511\n44768 49700\n8494 95163\n72789 96449\n60672 92110\n29284 52574\n35994 63084\n52565 91974\n7 22458\n73480 91028\n5428 95874\n26047 41274\n42933 82100\n23101 51106\n24908 99583\n34491 95017\n7571 28830\n63137 69520\n53125 90310\n19055 66670\n6452 12517\n13927 45221\n35367 53727\n15579 34562\n4219 99836\n45465 67925\n41128 92495\n12300 75962\n17693 57774\n49574 74261\n17363 86544\n10542 13485\n55427 61259\n25927 80183\n24422 40100\n5250 25441\n2870 46109\n22690 30674\n9328 60827\n70245 78856\n1296 8007\n6478 32467\n59647 61313\n84820 86480\n7362 19329\n4544 47658\n50652 51066\n8634 50927\n56693 96756\n735 3124\n47721 83706\n60545 70005\n54140 61985\n25443 38951\n3564 86103\n78189 86859\n40371 65484\n29685 64863\n11595 80259\n49379 96626\n50834 65367\n44847 56649\n46457 97799\n54841 56337\n17743 80378\n30822 46186\n1220 59871\n16214 36993\n93002 99742\n39361 50278\n23438 98031\n62250 77605\n36163 61543\n20956 95744\n53973 65227\n5195 22160\n41857 79330\n6161 14339\n41790 71034\n12041 65156\n696 17139\n62533 98178\n9024 85549\n22090 70743\n7676 89618\n81798 99684\n24836 89641\n14997 41668\n734 57235\n50060 56446\n88116 96178\n4082 12356\n15474 88871\n23051 94630\n68169 74168\n8471 79712\n7990 50589\n31235 93308\n44162 65419\n1823 20052\n23824 56094\n2671 72759\n81873 93954\n10505 65575\n67435 86996\n21878 26605\n24584 33221\n69889 99332\n26113 48458\n42656 68721\n10604 80015\n18412 25741\n38324 66816\n10372 47769\n34422 64262\n34582 91168\n16390 31456\n36117 82445\n26317 71027\n21710 89103\n33774 70853\n70352 74111\n15300 44862\n15233 16821\n18663 95326\n51980 93075\n34885 71704\n17899 67080\n82064 92238\n2332 8568\n81431 99605\n28522 82244\n45703 75328\n22898 51079\n54626 71441\n82485 87390\n50472 84662\n76902 93895\n26592 44264\n69043 95473\n7573 21215\n23914 24044\n20673 69606\n55305 77087\n33447 93912\n82692 94675\n21316 48750\n65395 77762\n65697 74029\n68149 78077\n41043 88776\n83238 87951\n27398 44203\n5399 65509\n36893 83924\n18690 45188\n41612 47929\n26055 72403\n39843 95341\n13156 34188\n16466 22891\n53579 68950\n61831 73425\n42138 91049\n46216 65243\n71441 89117\n22059 92927\n15558 50198\n67408 89574\n54825 83838\n7814 29199\n27292 29661\n8342 74742\n27297 90728\n31451 54686\n74644 94345\n20588 74498\n33737 53127\n19799 83086\n83024 83734\n45635 52184\n41235 46745\n12148 14941\n19366 70250\n14148 84529\n68361 82877\n53074 57400\n34388 69059\n32881 74154\n5255 92306\n52180 53882\n15048 57824\n70484 79791\n25396 32460\n32775 73921\n37795 55440\n3269 74625\n71408 87932\n52177 83848\n35225 38166\n12148 12845\n58141 93007\n31860 47184\n61344 78101\n2869 47672\n33827 81261\n22225 75042\n1111 67834\n41853 93546\n33971 67020\n70925 79212\n45720 73046\n13935 15326\n12877 50887\n8514 43917\n48921 91851\n32093 97882\n37011 62786\n24 4219\n25418 44587\n81879 91682\n71406 91839\n59469 60886\n47746 87021\n52590 87082\n45324 95083\n8380 43322\n29382 87538\n62666 96812\n2832 54809\n73212 95714\n43917 74417\n67019 88825\n23660 85311\n28848 41584\n73183 81602\n49860 83803\n20396 92821\n62390 73361\n16288 57430\n46798 71309\n50592 83702\n4696 25870\n55521 61187\n3306 83523\n70947 78813\n87636 89919\n90962 94635\n25025 87834\n13171 39589\n36772 52425\n52072 64279\n18929 28466\n8198 78381\n861 77698\n80606 87134\n28169 44347\n24052 42780\n8994 51458\n38959 52607\n17710 87315\n30114 70237\n7568 76687\n25121 51880\n63659 92891\n53425 71233\n15615 81603\n21242 99031\n63268 84063\n41600 96374\n3232 27173\n32799 83322\n34811 44558\n68310 85144\n14724 24952\n33072 96085\n5759 78752\n11087 83848\n38754 61251\n63495 75779\n77488 91283\n9569 67491\n7137 44965\n46169 98353\n47189 77180\n65053 66315\n49998 70507\n12007 78769\n4757 14631\n20790 70108\n38578 40060\n53508 92334\n32099 67524\n44920 88154\n37101 66405\n19167 67910\n41664 72896\n6392 37260\n22801 34766\n34308 97292\n560 29373\n57756 58202\n35197 75772\n17477 40407\n10053 25392\n38654 76644\n1061 31655\n78523 84118\n73504 85324\n27607 57504\n35868 56048\n69398 89429\n7359 17009\n7748 7880\n28136 97807\n65882 93520\n71417 73721\n92970 98369\n34252 54870\n44537 51199\n39561 44992\n24525 31581\n35258 72704\n7144 18424\n57527 74209\n24113 31973\n38015 38775\n1887 73954\n13390 78461\n26413 69257\n76397 99468\n30479 64709\n34963 52750\n23390 59857\n49799 75978\n28637 86519\n31342 92320\n16023 66734\n78467 93618\n44420 72968\n54419 67689\n11515 89006\n57459 85352\n22993 63985\n2214 13893\n48713 90979\n16061 30411\n15394 61746\n15751 74965\n6805 94300\n38029 57460\n82970 88246\n35880 72559\n8239 10552\n78091 99708\n8730 82349\n5485 59066\n9408 65455\n79424 81679\n50735 78352\n20341 69417\n54935 84941\n6326 54857\n54340 82350\n80424 89898\n34560 92394\n23202 85281\n8266 47287\n81134 87966\n8355 93248\n40682 50159\n1815 20142\n15311 56909\n16420 52114\n14937 84401\n5771 44755\n46944 76708\n29471 55346\n15526 59071\n43449 63084\n71585 80993\n18798 26573\n49725 68711\n66097 85537\n43077 85459\n14802 30773\n23222 50578\n39870 94713\n64948 73302\n7359 28903\n43496 46331\n52770 83820\n42079 85823\n16804 46561\n40186 93961\n18341 88494\n2744 38134\n59508 99638\n2615 76297\n19168 37858\n3341 94324\n45906 53063\n60473 73433\n74067 78777\n38707 54133\n38998 84483\n30755 31332\n64809 71812\n2518 79818\n70083 98272\n30867 88162\n43833 71383\n65780 89342\n39601 45459\n48253 93817\n73551 81043\n47144 89557\n69229 74081\n17981 89745\n40818 75506\n4925 24215\n25163 46149\n34728 45607\n1350 32274\n63422 66517\n10184 64942\n7631 41541\n37389 67411\n68758 95323\n57901 68043\n37260 90816\n32315 91556\n48910 66084\n65335 68215\n24187 94984\n3068 62012\n6687 98207\n25260 91893\n44280 51712\n59486 95853\n32488 66886\n18534 62234\n30678 59055\n45259 97701\n7452 16976\n31593 44789\n10688 99342\n9511 81639\n70035 84531\n23262 51984\n45500 46241\n72219 90381\n70828 79705\n56739 77549\n47200 65968\n49138 65734\n41994 98332\n26284 68960\n36428 43151\n66577 99235\n3134 36020\n14302 64117\n6953 20006\n76785 99758\n38280 52563\n28640 30476\n38973 64132\n1420 66593\n5691 65339\n11419 12127\n83191 99215\n13761 28901\n51410 69946\n9128 26296\n63214 63587\n5095 23303\n79374 96183\n13003 38688\n19345 25502\n44186 97113\n27151 30843\n57108 99720\n22303 31934\n53138 68409\n29515 67841\n63652 88061\n63445 65294\n58374 92223\n20267 29676\n17296 88396\n25938 76277\n26987 42847\n5946 36249\n44993 93570\n20269 80449\n7280 49125\n11282 54146\n25603 37553\n13544 53680\n44738 50253\n25738 32340\n10854 14132\n7249 65292\n27076 73226\n10236 87472\n24768 75737\n27958 49627\n11435 76044\n16558 70127\n7611 14445\n60961 62766\n12404 42851\n56336 92545\n77548 93456\n56703 70207\n26453 54371\n67699 68151\n84731 97423\n72271 83915\n36997 64234\n40717 97158\n84312 87082\n3062 58009\n2184 68689\n68926 90446\n67622 81052\n5574 50192\n9682 39924\n20567 27863\n11735 33139\n6573 77414\n56441 82283\n19601 24835\n80517 83243\n5619 64696\n27345 30204\n9985 45768\n17696 61946\n22822 62898\n6813 7290\n14953 32193\n19125 91682\n3578 64424\n59881 84995\n77518 94482\n12796 99262\n4216 97611\n87403 94308\n42859 73233\n86466 87164\n72008 80491\n50159 99416\n47103 55759\n68970 69025\n26336 69660\n9131 67258\n19641 63887\n41570 54261\n30216 83206\n38472 89778\n95421 95683\n62341 74093\n29255 49821\n18145 39157\n40464 43057\n13975 22185\n12655 56457\n24101 66054\n36831 83640\n22406 80624\n40512 83372\n16925 18670\n49762 77631\n95662 98966\n7449 82628\n2476 19827\n56328 70835\n6373 50363\n22181 90155\n35866 41311\n14502 72491\n3024 29499\n37458 81043\n15011 42145\n5556 96806\n6090 68010\n29837 80506\n10602 60483\n10036 77830\n10561 61900\n20410 97217\n13444 40234\n7128 27091\n16656 65705\n51172 83643\n71323 97134\n21557 94988\n8035 20462\n3116 59168\n26813 27770\n45043 62831\n41041 58845\n71919 77934\n81760 83427\n30425 51947\n44197 93566\n30944 78961\n16315 75598\n10354 56828\n68649 76903\n8198 11681\n27300 44161\n1609 2196\n27131 52807\n66196 90885\n82498 94015\n89158 93641\n43644 90950\n13480 37909\n20102 25038\n56258 81561\n77752 80287\n69938 70259\n42768 53182\n50341 56957\n8359 94084\n24070 30014\n59080 75070\n15582 18707\n20767 26186\n4792 98904\n11317 52608\n35833 39264\n85261 93595\n52809 63267\n34324 43673\n20166 85258\n22675 46152\n67651 87432\n12674 64077\n26278 59032\n60465 92039\n17779 65940\n47977 95540\n65600 83335\n46422 81252\n24705 82418\n64699 83882\n19945 72275\n21895 99291\n38840 77990\n4030 86942\n23536 30017\n17909 99036\n45345 80743\n25797 68496\n20258 73136\n29161 47155\n4327 98800\n34007 42947\n73779 75951\n23099 80264\n37826 72711\n37419 94526\n26424 93451\n20513 90498\n1886 91566\n19959 53449\n23473 62177\n23878 68075\n24376 71950\n27072 61487\n69818 77863\n25542 28306\n52663 68437\n14911 92389\n52321 93657\n15546 48455\n10695 92701\n38978 83642\n1228 27671\n17416 62809\n76654 94342\n10253 22226\n42165 56077\n54873 76773\n21328 68548\n8784 60336\n40805 61964\n33000 92213\n39849 99244\n56367 79713\n13032 40477\n68466 81643\n47511 63427\n30192 95313\n9826 34611\n54684 67899\n33523 67409\n15584 50221\n54746 99725\n60512 97545\n12126 61589\n72782 95827\n40591 41517\n8691 59143\n31216 98425\n64506 85110\n23115 87151\n37992 84581\n65311 84654\n22269 53153\n8172 96940\n46815 59652\n78231 86099\n54341 64089\n66662 69774\n54896 88216\n8877 38318\n3804 78972\n47104 67208\n46951 60691\n50531 54164\n42878 69841\n15635 89175\n22872 46872\n61170 94119\n45719 82504\n78169 95405\n33680 42535\n291 38093\n81908 92277\n22857 87538\n4605 34755\n77695 85082\n20827 46669\n71286 73606\n8037 91484\n24756 45095\n18885 89105\n713 85654\n65816 89182\n15921 98264\n28972 60291\n79963 84547\n38392 50115\n30978 33164\n54724 67071\n15345 16787\n34528 65830\n16923 56245\n5447 34017\n59838 98507\n80396 80524\n31883 70113\n9893 14886\n8207 97396\n15413 96145\n65202 65447\n10497 12800\n53676 72786\n39150 46918\n5304 62192\n91501 95902\n29518 54645\n49965 72212\n27885 75533\n49688 79282\n46505 92484\n81267 86382\n23927 38893\n37102 91411\n48975 92548\n38445 82906\n13183 66034\n90188 92028\n24351 55745\n4423 50576\n32058 95440\n53099 96163\n33761 64664\n7031 96808\n13333 77472\n36995 41725\n56845 60287\n4183 86615\n83086 87221\n5294 18536\n63544 66877\n78298 94376\n7404 34924\n60664 66935\n22844 50511\n85610 91045\n19256 58596\n50808 74263\n42218 85533\n52013 76296\n43565 85543\n54676 87850\n11240 55881\n22980 42740\n45689 95720\n24507 63639\n25158 32357\n16531 35528\n71727 81727\n17618 87398\n41585 69021\n42787 97744\n80045 90147\n86793 96917\n19984 91173\n13341 21292\n49466 70250\n38005 54752\n3315 72972\n31071 90239\n49182 67513\n16990 94373\n32480 47677\n41597 50862\n31765 71545\n82960 91055\n37574 42659\n67030 93203\n19749 82903\n49909 70167\n17587 37115\n50178 93814\n7623 51394\n13544 60718\n3244 24756\n1424 68375\n42664 66734\n12031 92074\n57654 86352\n50252 95956\n41132 56165\n30740 83147\n53433 65806\n16934 31623\n20628 70470\n9571 85146\n13734 51397\n63329 75482\n1064 60341\n92810 99730\n1686 52824\n2848 37286\n62113 98479\n11494 51384\n40760 69338\n39985 65567\n13089 83715\n15378 58605\n10135 64359\n9631 22851\n77084 99166\n31128 98801\n44784 57898\n41020 87137\n14184 56357\n20129 94762\n45446 68960\n5286 38471\n3617 12199\n46234 97661\n52488 98097\n21773 23270\n25830 53257\n8153 30320\n42720 80582\n2872 4967\n475 53952\n12664 56076\n3806 29171\n62061 83210\n42597 67073\n58527 72172\n40834 58810\n60940 82110\n8019 94440\n16925 95475\n36691 84945\n16457 75346\n4177 46117\n14907 85922\n54593 74381\n78206 92916\n55100 61848\n12137 73687\n9174 80607\n51162 85941\n72039 79527\n28179 30025\n79913 81856\n79706 87743\n22881 29486\n47037 51630\n47094 61151\n61225 66698\n51293 93331\n33938 56140\n45930 76460\n4150 90737\n34635 67569\n25827 61543\n70050 95566\n8391 41146\n31946 70565\n82095 96992\n14716 50328\n1189 52878\n10407 30294\n5007 11075\n59251 61705\n421 93766\n37957 96919\n72534 79392\n46205 74984\n46370 49066\n60868 84606\n55935 72371\n18672 75255\n75268 92571\n48597 98871\n79647 83745\n13935 95269\n53875 98169\n62802 97307\n7548 49995\n53613 87369\n2394 43473\n31005 58333\n87671 91777\n21800 58959\n61362 73762\n28380 80059\n48473 90434\n83646 87220\n46570 50478\n62042 79147\n32937 85739\n77744 93703\n23048 49680\n3083 93766\n9702 16433\n48661 78164\n14428 23130\n24343 81477\n449 73276\n55260 95505\n35778 37790\n59550 86761\n695 15654\n55946 69698\n11281 30521\n1501 34160\n52046 88445\n12667 78412\n70145 74898\n56283 95287\n4372 28142\n14967 30217\n58624 98314\n32043 90390\n74906 99080\n27190 53786\n26477 33739\n4635 28445\n25771 40266\n62522 83453\n66238 91971\n39542 92898\n31689 55375\n42257 45587\n31728 86449\n9923 24219\n8328 12009\n7853 84080\n76030 97728\n35567 37401\n33038 43268\n48260 80387\n9478 30532\n40489 57030\n3895 39124\n57217 57480\n11212 17839\n27203 71465\n76823 76850\n19602 54743\n3466 94385\n11552 21101\n16486 75236\n4189 54123\n43659 86655\n2342 39246\n2420 89740\n81008 86487\n23825 91632\n38951 50859\n20992 86556\n67374 87590\n6806 40737\n26120 52895\n33787 67253\n25710 44669\n2838 11589\n4559 26100\n76601 93438\n2601 36323\n76263 96544\n2071 69702\n89531 91748\n64951 86214\n20466 43607\n76666 79762\n66785 73401\n41568 84124\n58806 60979\n79891 81168\n19044 31289\n2048 14472\n8068 52290\n37515 54525\n46926 53991\n50550 74167\n7473 93722\n46590 66308\n31165 47732\n55178 66161\n55240 63999\n10533 40328\n76681 91531\n53103 80263\n3444 20534\n57851 76269\n80718 82629\n10245 11427\n17100 26695\n80342 89552\n85075 91771\n54984 79617\n96007 96128\n21684 59849\n62800 69239\n12977 79820\n29208 86197\n50198 75062\n33483 71492\n10365 43939\n88003 93386\n35261 63292\n66722 85099\n3266 9306\n64263 79621\n5991 81891\n69030 82908\n24829 25369\n65604 95789\n34913 75074\n6736 74496\n92411 97405\n19309 48208\n19837 99324\n38513 80826\n42627 71985\n58679 59686\n68198 71608\n74054 82812\n6786 58873\n37912 42969\n71074 97805\n23538 88912\n81614 87302\n18388 41632\n1366 1851\n21484 70474\n50920 54714\n41764 81087\n52912 71641\n87600 99006\n18055 72100\n19376 87410\n62205 92752\n65298 89869\n4916 85046\n15581 84729\n56024 76331\n34784 43227\n54137 64421\n63606 80469\n27724 91022\n72114 96957\n61244 70507\n184 15609\n5252 78738\n15392 65556\n16556 46496\n23301 76366\n28564 93180\n33360 90918\n78528 87433\n48167 62776\n6969 53228\n6048 53995\n56661 67129\n5522 29471\n43799 81342\n30793 60295\n8757 21027\n44129 64673\n24645 86186\n59688 65980\n55262 99910\n46109 86669\n68 93684\n32197 85808\n4951 74196\n46503 71374\n86926 88757\n17054 57348\n11516 32558\n31149 34418\n85029 92752\n87514 94735\n28305 47056\n15218 97006\n29835 77384\n43076 63238\n56278 94666\n29241 73570\n3595 52059\n43761 82462\n3676 43114\n22595 83980\n30401 43384\n4659 85915\n19955 68084\n61534 70056\n52470 79459\n22945 72918\n62397 70741\n1794 4779\n92713 97752\n44182 87465\n10953 64091\n7341 64862\n78423 92165\n44207 51543\n29202 62479\n68645 77488\n97371 99811\n72023 84174\n18003 49368\n76994 94327\n19054 89660\n1453 67050\n38691 66330\n30068 70687\n1181 61928\n82632 96180\n8939 68660\n19595 44973\n51639 56739\n3072 77674\n30850 38529\n23154 59940\n51331 94258\n7094 41399\n7444 66990\n32495 86696\n34254 90490\n54057 56184\n52078 59228\n64525 81251\n23906 31334\n31026 97880\n34114 46884\n36269 88906\n66600 83033\n4066 97157\n53223 84513\n15699 98247\n1754 30236\n66257 98725\n14796 14855\n49740 62325\n1439 78648\n26149 82473\n33431 84218\n24524 50159\n33067 48654\n16174 42284\n31078 56871\n69986 86940\n21814 57769\n17409 45986\n6284 65489\n19016 23436\n22250 75401\n51182 81364\n4103 30038\n45660 96815\n29478 39937\n16297 31456\n46104 80871\n17306 20032\n26131 50482\n15471 94415\n23568 48063\n35123 60499\n33128 49016\n57608 75411\n46550 95724\n46945 49931\n43357 62829\n69749 86486\n37510 75513\n54185 98824\n10528 64818\n14533 86151\n57931 77984\n32325 46172\n15954 76255\n3117 36355\n12073 49710\n40692 58380\n36413 45728\n10193 67271\n27666 60122\n25781 41647\n22539 28941\n51250 91161\n13724 44859\n83518 96291\n52052 84328\n4915 41253\n55858 86311\n3895 28172\n29028 69971\n14731 41627\n26860 86965\n43984 91524\n20576 56061\n14858 82420\n41053 71487\n9965 54149\n33521 87807\n73666 82459\n1545 9765\n28471 85770\n45172 49341\n41763 71807\n26360 61617\n59390 90372\n61055 96191\n45351 69332\n688 61988\n54325 76314\n30000 78015\n37151 71920\n1344 22496\n10637 41716\n11458 94484\n29588 68797\n62585 96162\n30115 32856\n6373 31836\n26381 86283\n3089 48858\n19649 46791\n7001 68559\n70404 83262\n48822 61987\n10676 43926\n21279 63585\n55021 70744\n59475 83209\n26956 69488\n61210 94897\n12412 32163\n13900 41134\n47672 73690\n9049 49539\n18253 27464\n17834 74442\n16987 31071\n42933 70100\n72124 82061\n35060 54230\n42536 79058\n45646 78114\n29874 40633\n47265 91052\n72001 82860\n4711 69585\n64674 80721\n19902 34449\n56868 71208\n12460 67410\n68198 94711\n16936 26053\n15896 50858\n46601 50454\n21176 21950\n525 10552\n29906 44286\n62225 77318\n20095 35556\n52212 56415\n47888 77118\n35087 66925\n40974 77172\n42932 71865\n2445 85334\n15799 92600\n14481 75327\n3162 13826\n69378 76103\n79067 84752\n18370 30537\n27523 89665\n60247 76606\n10573 74902\n200 93259\n42737 54478\n16374 81792\n19266 74865\n84403 89106\n25267 72973\n5072 40581\n54789 83348\n49208 98279\n94413 99980\n16799 34418\n32679 50595\n64622 97468\n36495 91684\n28913 34873\n11303 98938\n306 97518\n20772 31852\n46257 83098\n28502 42158\n11223 33049\n83445 96192\n27254 49806\n22421 84518\n49757 99873\n14698 58660\n24945 65105\n1601 35390\n46898 83392\n17310 89942\n9548 92631\n39603 52630\n54573 90206\n88426 99559\n37617 77674\n45749 89466\n71859 76956\n91849 94630\n67130 83058\n17338 85853\n20868 78109\n2312 26702\n39026 39312\n14515 33613\n10373 73953\n8752 75392\n11083 43516\n44865 80027\n52961 70819\n47257 65568\n94610 98496\n18716 73746\n56285 76944\n75255 89528\n49911 97831\n30065 38492\n22923 44154\n31774 56987\n24914 32279\n11249 67035\n55460 78802\n69968 81322\n1932 51323\n56433 67566\n41412 62031\n8419 37644\n54964 56775\n40925 50955\n51728 96231\n8138 49135\n95168 96294\n28669 49213\n10216 82928\n49068 84977\n28933 76344\n6868 35698\n8958 78539\n16984 54176\n51786 62743\n47289 72407\n54359 69479\n47826 94748\n45464 96629\n88540 94649\n23862 54767\n28586 66495\n22902 85751\n75472 91153\n67813 72977\n57458 79895\n52057 52752\n20910 31583\n57204 88464\n24617 59774\n26371 28991\n84157 84354\n57220 97792\n59123 84013\n11729 55648\n52403 80232\n32412 96580\n18026 65114\n7108 20184\n82949 83591\n1768 79911\n7335 33606\n49008 68542\n60046 69724\n27912 41087\n43766 68260\n24138 87956\n43008 76746\n67169 86339\n7431 36264\n61447 94213\n49181 65500\n7530 64110\n87668 90488\n57377 73585\n30210 56592\n62516 69725\n73559 74652\n70669 95104\n338 60124\n22782 42331\n11353 68121\n69407 73119\n661 24472\n32822 93219\n42281 71341\n20488 69763\n12191 18042\n87761 94133\n5154 51312\n47711 63483\n8398 27550\n49574 92510\n39087 89004\n78656 98366\n19866 70233\n5269 53917\n6939 96983\n24951 64353\n8961 49530\n51676 61776\n6862 97050\n29886 82261\n89815 90635\n6567 7217\n27977 64169\n46613 78677\n16449 82159\n12481 84905\n71535 88275\n32798 62890\n17087 61348\n15443 29158\n70767 86641\n27999 60621\n48411 92601\n91324 99498\n27202 66938\n54650 87537\n24165 34088\n31726 92104\n1387 5303\n2325 29366\n76649 77694\n39453 64925\n15693 18452\n457 25317\n51801 76816\n1584 78713\n2735 29057\n27815 78398\n9939 75555\n238 82648\n50494 58859\n13405 99111\n40040 64301\n42239 64794\n21170 26879\n25500 68069\n10576 99738\n40408 98014\n4846 71300\n57286 58823\n11394 18341\n66138 82919\n14880 74914\n30456 85952\n31130 85403\n13950 92533\n35279 85569\n841 15534\n49486 89130\n16669 57620\n26200 65309\n14436 71864\n70513 94306\n2829 96770\n63175 80865\n80901 89865\n519 84730\n4554 67430\n46613 63928\n14761 88305\n22751 30914\n6598 93026\n41429 74265\n24452 39473\n78080 90828\n21973 76673\n9898 14569\n3561 68946\n14520 21395\n6434 50480\n12540 51245\n63154 95084\n31335 95114\n26766 77020\n95862 96660\n55275 79748\n39806 93027\n27511 69883\n7148 84975\n84150 94409\n65126 85269\n26021 93159\n57915 60424\n6989 12954\n29965 90034\n45809 50093\n43852 85519\n43647 98451\n13757 97403\n12880 71456\n10489 56388\n8725 12938\n53893 81674\n24631 85803\n18363 32163\n8285 16539\n21181 79421\n17669 39749\n12178 15367\n42166 54800\n76883 99790\n45687 49995\n53497 78771\n58313 69207\n4225 14741\n41312 72739\n14125 69472\n20272 39499\n27275 91463\n36619 46965\n210 28612\n29575 63283\n5007 98198\n37225 49246\n10965 14768\n12930 56121\n5564 58940\n58112 98419\n45148 59995\n17257 77947\n29930 73954\n34258 47953\n13501 91241\n7531 29467\n88179 97438\n29315 40946\n16464 46036\n39700 59376\n16615 25521\n7521 35176\n33788 60549\n32499 96494\n67201 73618\n63457 95244\n44030 52909\n22502 85934\n87252 97475\n57933 99062\n22165 66300\n4693 35238\n12935 69202\n52040 69980\n2766 97739\n40923 83073\n5743 78855\n18930 62853\n27752 92816\n61996 78438\n72111 99097\n86136 97690\n67856 67881\n37600 73958\n3757 20780\n32106 54577\n37565 82691\n15103 50166\n19517 27406\n59490 82912\n88170 98639\n11707 31961\n13029 50828\n26271 69990\n11919 32919\n75266 86389\n26976 97834\n50779 93134\n65370 73988\n29090 85676\n14201 38808\n32002 32489\n48467 79764\n67790 93909\n55396 89277\n22488 95975\n29271 79147\n84967 89316\n32862 69254\n24064 37904\n3511 98878\n30818 83210\n6142 59167\n2646 55852\n28182 80301\n79859 96487\n37663 78288\n53090 73705\n65714 76295\n53832 80726\n21997 94788\n37424 41006\n71966 97717\n27553 28270\n31269 87014\n17009 57330\n10472 76247\n22599 55460\n1445 84949\n43244 46764\n27202 70916\n74224 85397\n46799 95439\n26690 72777\n51978 56039\n28635 54540\n10668 46101\n50207 54665\n87138 88326\n38799 98130\n18465 79044\n4406 25269\n34739 55663\n13777 15674\n21413 32871\n53509 68501\n68057 87504\n36268 80355\n14379 49494\n32484 81601\n77809 91724\n169 14637\n46203 81895\n36481 38926\n2974 95206\n56123 74836\n60102 69986\n1475 91916\n52291 83726\n54410 59898\n27170 42496\n38005 82423\n850 28422\n12174 81849\n67092 94184\n6114 12010\n58113 82409\n11713 51068\n55753 78404\n5453 36877\n41458 62747\n11877 88022\n9510 32190\n38457 85738\n20645 77814\n8549 27475\n41423 90471\n7279 31249\n30211 32754\n34807 80836\n33600 54993\n3686 99191\n15064 49540\n63966 68719\n58024 59178\n26605 27218\n52744 81128\n61706 99332\n58176 64499\n37024 97164\n39110 63308\n3197 17862\n43755 59175\n49365 57405\n44533 61342\n72390 93378\n23493 64543\n74010 74099\n6727 12234\n50774 91679\n56280 64117\n39947 79409\n1697 9632\n69823 93630\n49729 93612\n6792 72810\n39777 77211\n33292 95027\n13754 33818\n18055 30932\n69319 99392\n73078 97150\n37751 94248\n23579 43762\n23245 31658\n34288 76441\n13315 51026\n20828 93558\n39194 88572\n2873 15705\n16206 62542\n24206 29882\n15369 41003\n41352 92481\n20873 66513\n19362 95373\n54144 99509\n64044 68990\n92749 93008\n44664 65869\n26688 89242\n83386 89016\n28625 36270\n33307 81126\n45792 97943\n34820 42427\n31189 45306\n52072 99008\n41802 95015\n23787 44324\n48125 55848\n12156 48466\n6488 26670\n46285 82501\n76568 97650\n42876 55972\n53460 79215\n57588 77837\n49380 69896\n33554 43743\n49893 53818\n76966 95760\n27003 65078\n20037 88389\n2708 91434\n75162 80209\n67781 81581\n33026 50991\n48975 68735\n96791 96980\n34431 76070\n8514 94472\n24292 26346\n45337 65960\n598 10951\n29122 82231\n17596 33655\n26975 35945\n18048 84856\n34200 62309\n8400 16746\n25266 44531\n12413 21345\n29498 89579\n44717 90962\n70325 76249\n53025 80485\n3732 15412\n33875 55744\n66374 95297\n38805 99528\n14789 19882\n30513 67260\n45075 56477\n52274 76556\n89915 98938\n14567 41224\n17197 91827\n29457 49273\n29327 73216\n19529 86201\n34635 51697\n35408 65936\n81349 90260\n20036 80332\n83559 98740\n3638 97674\n2030 61016\n10901 28050\n13273 33313\n62948 81327\n37919 59743\n23237 46413\n76917 78297\n65152 91105\n66452 71588\n35218 99669\n38594 81835\n4698 8922\n27798 52390\n21336 55607\n31267 73641\n24629 64570\n17829 45117\n34480 74880\n60749 94614\n64850 95578\n59810 83618\n41489 79180\n1716 34666\n24666 86618\n44958 49232\n1748 6175\n2395 64033\n17436 58224\n60624 95037\n35099 82951\n46716 88180\n36435 58356\n53552 67709\n8808 59626\n58852 59544\n16014 90968\n28098 50261\n51463 70012\n30267 88296\n6031 57871\n20222 37570\n6981 82578\n22946 69239\n47402 89338\n65831 70575\n1365 85825\n61317 69378\n67177 83980\n59288 87451\n9745 82730\n32210 59011\n11662 22821\n22345 32108\n16339 73350\n47378 97766\n12450 50109\n18952 21834\n16480 80773\n26072 54810\n45988 70590\n50618 68244\n5329 68247\n5414 51584\n19088 29678\n62266 94620\n73831 76247\n1285 71986\n72804 97744\n71384 80532\n17692 39282\n31699 55855\n1200 46060\n4310 69073\n15068 44239\n16733 67302\n3431 42425\n59418 67003\n35587 53152\n64958 67848\n67465 69458\n6180 77692\n229 81332\n41975 46404\n24248 29061\n50471 88470\n27668 79980\n75798 87081\n69113 86726\n47354 47606\n20009 55532\n41809 84553\n62295 95058\n11419 39002\n7105 9604\n73827 88522\n56110 64804\n30075 41351\n9609 84636\n1178 47727\n19467 79291\n11303 20251\n34334 61853\n31704 45621\n32894 85184\n38261 84141\n93829 98108\n32248 54729\n3211 26321\n38261 68224\n4646 4679\n22121 68846\n60667 62725\n13808 75042\n51789 61330\n4342 24158\n13370 87504\n30121 88909\n22127 77143\n8868 50976\n12301 17659\n23330 85706\n7090 92117\n28630 59306\n80478 85619\n81925 97000\n64941 84058\n7539 31938\n5216 71446\n24552 74739\n8710 61957\n77405 85716\n24955 93456\n19413 51383\n64030 87810\n64744 97084\n34613 52651\n25585 99648\n23689 43695\n51540 99195\n25323 65922\n1431 31038\n31762 60927\n65318 97788\n21333 76785\n29484 76257\n55496 94862\n42976 68933\n53888 77613\n78970 93533\n49795 71394\n62246 75380\n55473 76361\n15913 41893\n2423 82566\n8608 41475\n120 67240\n61889 76686\n20699 43599\n4640 60384\n28811 38999\n26027 84502\n18059 51950\n3658 8411\n34256 90661\n11238 65659\n15948 22702\n9386 72375\n47005 54645\n86609 99927\n53332 54703\n37422 78995\n61577 86897\n90769 92486\n5265 65178\n34903 49308\n38899 73500\n10939 91748\n12276 58843\n81556 99540\n6310 19268\n37437 61532\n10710 33309\n45771 60423\n31500 64462\n31197 90375\n69345 92609\n37864 45708\n47402 78505\n3100 64721\n26302 85301\n35797 86145\n54502 72782\n21904 75855\n33166 71794\n23235 71657\n48403 90188\n12386 86938\n62644 94163\n71041 71995\n44235 92180\n3165 54239\n46463 99215\n17559 58613\n41439 48428\n52718 69580\n69359 84127\n15728 15746\n79399 82843\n37283 48897\n80753 90443\n32859 99968\n11934 69287\n24355 34790\n61529 67681\n4299 23323\n8542 38363\n434 87747\n71861 98265\n69584 79634\n21435 79591\n13510 20092\n22165 61245\n6181 23375\n19878 44329\n29860 55429\n72356 75006\n922 29373\n74137 89473\n20837 62871\n28831 34223\n18922 95430\n58970 78778\n4539 93935\n59089 86872\n46368 54755\n51956 65682\n80082 91396\n23972 81068\n4621 41335\n62567 74203\n47714 61095\n17479 80358\n45475 50289\n2241 6764\n73418 79482\n61996 96052\n21669 41241\n42454 52755\n17015 84453\n34888 55579\n30968 95296\n34485 68612\n30523 48920\n12206 37047\n38416 88040\n38851 90862\n7873 55303\n57072 76094\n36581 63190\n50167 63548\n40633 44592\n62295 87803\n28178 88923\n12962 49965\n4036 44181\n68778 71908\n54934 70677\n9045 37796\n59487 99951\n49467 91451\n88432 89516\n1913 30091\n11688 63246\n14558 48463\n25328 90714\n56811 86051\n49137 68286\n30615 91354\n46383 60213\n70701 91792\n57312 79365\n5479 84187\n6533 34259\n22252 76913\n27855 43396\n43508 82237\n27764 52021\n46110 66981\n5463 17016\n58927 95485\n40380 41153\n66469 78598\n7654 24047\n13160 44860\n17378 65195\n3925 65404\n32258 32995\n68328 76116\n72089 79921\n10664 35933\n27912 53998\n28164 83049\n12838 29095\n32721 74806\n52097 64822\n55296 99001\n269 18239\n12779 32615\n16396 60182\n69178 95165\n14940 64236\n42231 87665\n17462 25755\n58278 63329\n48686 91231\n46597 51441\n68222 94291\n29588 57225\n50141 94297\n15736 34168\n7150 36325\n40692 66501\n36446 70941\n18122 94870\n9075 30734\n32191 53380\n79869 95470\n82966 97229\n14851 91241\n93268 97779\n20148 77880\n17436 67624\n41779 47819\n4497 43394\n5608 60381\n42392 78949\n24506 98935\n42672 87531\n38697 66770\n4908 81912\n72771 76348\n1853 14375\n86323 96555\n16891 28853\n43925 55644\n39618 80566\n31054 82650\n42327 51012\n23036 79349\n63993 72244\n32696 72030\n3527 59850\n20688 92301\n28593 64660\n6077 66960\n48532 79857\n16909 93601\n5183 90866\n10058 36967\n24393 55080\n25213 41739\n35010 86893\n57354 64778\n78845 92235\n13214 73843\n18884 78596\n31043 43024\n2472 47658\n70561 95286\n4198 36172\n22087 29244\n53951 98417\n16139 87759\n30174 45127\n31062 34373\n68835 78611\n42052 57509\n12603 80548\n11117 50387\n49072 85305\n16252 99015\n3099 44864\n60972 63297\n33187 55731\n16396 20736\n7519 10068\n2979 80547\n28850 94705\n72460 90634\n40612 41606\n9387 10039\n4225 76779\n47755 60929\n291 45880\n52842 91420\n64734 90964\n49807 70438\n19907 95739\n4967 97047\n94408 96281\n66809 95273\n32727 83323\n8781 26893\n10665 19125\n26955 99805\n40313 90076\n69563 97276\n18686 93674\n54586 92471\n5162 88147\n34367 87395\n7162 38359\n63164 88385\n29939 93029\n17227 76506\n49546 58227\n2619 37647\n20405 40013\n60512 68714\n8378 91332\n22068 73166\n33752 80761\n1195 27382\n51051 64338\n12167 68883\n33262 89037\n8389 46814\n33869 72800\n13442 15890\n65257 80240\n14131 52469\n44150 93813\n6634 86857\n67112 72223\n48340 86044\n58649 67362\n49048 61645\n48126 73773\n7040 86626\n27324 45964\n46958 89393\n25459 74718\n22307 53548\n27752 48887\n20772 42751\n42852 84841\n48784 79132\n48367 55426\n44642 99834\n40791 98133\n43802 46879\n49932 78911\n38919 66071\n14842 56395\n21344 54061\n26618 64185\n2677 17058\n25527 68021\n43682 88184\n1809 91815\n37760 38096\n9250 41109\n44939 76979\n14310 77205\n4419 88258\n5135 34528\n29193 55410\n57241 72377\n17962 35090\n42247 79992\n78359 80225\n38089 61032\n6380 15168\n60961 93125\n60693 81689\n5939 38475\n29152 76953\n6670 88447\n60635 64466\n991 83759\n9677 81351\n11577 24713\n60134 81842\n92576 93008\n91022 91098\n25630 38110\n11953 22460\n55009 64750\n29009 37416\n60504 98476\n11097 41218\n73346 88924\n25958 57371\n22777 23418\n39447 99219\n59787 61977\n54125 61021\n51940 87901\n73275 92742\n38800 89003\n41491 59057\n51693 96190\n11648 34083\n2673 48225\n6127 23557\n34155 35900\n65210 86292\n67074 86665\n21871 74772\n77786 87329\n25016 92902\n58038 91119\n79349 97148\n24204 54620\n29389 39170\n66943 82421\n23040 60021\n58179 96927\n17868 54095\n13179 51014\n17022 45753\n36402 37419\n67948 69229\n30725 42034\n55452 65196\n20196 98317\n27733 82201\n45601 98935\n2352 9520\n33599 66084\n17837 70518\n19326 59030\n2418 20775\n14051 67459\n90418 90460\n62267 91450\n68262 83571\n40100 66578\n3886 19731\n44386 95900\n53540 98970\n72288 83380\n35391 82083\n7156 97005\n52490 84630\n72391 81760\n8987 42455\n24671 80079\n92360 97774\n1961 55000\n52570 85366\n39576 59197\n77707 92573\n27695 88139\n9862 16643\n20136 76701\n12254 80371\n5900 56296\n71123 99812\n8306 71970\n14787 17550\n53460 78039\n30793 90784\n14256 51505\n20821 89517\n49229 65354\n51299 64451\n8528 79210\n24899 65459\n36104 48354\n47467 81617\n39932 74602\n19705 38055\n13318 50435\n10990 25203\n76609 79246\n36580 50323\n14662 38910\n16629 76731\n39003 79319\n66408 77942\n24556 39657\n58838 94066\n451 52586\n41839 57063\n3956 77281\n11474 52734\n16173 37321\n52996 69169\n19866 89676\n13422 95120\n80475 91837\n37314 95534\n22894 94915\n89853 99823\n981 40149\n10325 18172\n67060 93466\n43779 98670\n49222 93979\n60311 66660\n42233 86911\n72382 98657\n36980 91624\n24143 34403\n22068 52333\n45531 48800\n17822 18796\n61463 88633\n15193 50420\n53140 93548\n64314 85704\n49602 50453\n20311 94741\n13494 91534\n44512 87892\n11933 60502\n51173 83468\n69257 85105\n832 69320\n57370 86981\n56732 72924\n29686 40495\n27793 57726\n5135 7989\n75580 80635\n26115 63700\n45162 76352\n26977 99247\n16734 20277\n32111 41935\n71449 98298\n15346 58183\n16068 17296\n69547 97287\n7488 82093\n6000 27348\n30902 69023\n45831 90881\n1752 61913\n1131 9134\n36796 40151\n1341 48329\n57653 92759\n21389 93718\n20306 71039\n51738 78543\n23767 42924\n16847 70927\n18346 71558\n38490 48961\n71825 82836\n44886 79140\n18125 64315\n45700 49934\n8718 21340\n88034 95768\n26063 42889\n38133 52588\n17282 84396\n26183 61353\n22952 96377\n11804 54458\n9776 73088\n10395 87244\n24959 80905\n89030 98023\n38735 49653\n39526 78229\n54924 55486\n9414 53437\n17519 47142\n38318 71595\n29719 68325\n48236 72573\n68678 80904\n74508 92761\n71885 85808\n3452 17824\n12298 98932\n49465 77375\n33884 70849\n89385 89832\n5919 33439\n9798 75246\n43946 97782\n51667 80642\n63467 93675\n3843 70543\n1432 77485\n36201 74358\n15125 65194\n27062 64992\n11847 44920\n22023 99930\n39214 76713\n4022 13085\n38503 75205\n5149 10315\n20862 70462\n44374 92712\n31176 55164\n12754 94866\n16459 99437\n40025 56452\n1545 68237\n70057 72811\n757 84112\n32305 57405\n64335 75396\n32511 64205\n67961 98699\n36419 59602\n66006 97002\n39737 40772\n17127 18549\n25809 45258\n30985 93151\n13946 68392\n37205 79146\n32683 42118\n74626 77686\n3574 98633\n33782 52341\n48625 68650\n5287 33023\n18458 24125\n14982 28918\n16716 60254\n21749 57252\n583 87301\n38573 63424\n7772 69132\n13688 65819\n32979 56423\n43257 82170\n58174 67879\n188 19063\n57156 93364\n4470 50300\n26022 79206\n58022 97671\n98085 99960\n29261 43924\n77350 91515\n39641 79563\n55499 64578\n11824 59920\n2381 35331\n62233 88416\n37267 70400\n25392 87800\n58141 81991\n27597 50665\n73894 84659\n55524 60679\n6389 30474\n6523 17191\n14630 29026\n88145 90140\n2201 39616\n38809 75828\n26164 63175\n11118 94366\n51731 60511\n79607 97681\n15897 82817\n44351 60135\n13554 88792\n13232 62778\n27919 54990\n47618 49938\n8558 20232\n35883 66399\n59168 60290\n41685 96624\n811 84508\n55593 87085\n59408 76819\n1028 48467\n68590 77415\n92781 92972\n846 85487\n2679 49094\n29761 90429\n35981 50004\n65425 95178\n51361 88848\n20412 28371\n8552 59890\n7353 60484\n47414 96516\n1769 44982\n5422 79608\n18163 67933\n8928 85745\n15056 77487\n11769 75123\n3116 40852\n1021 33008\n19754 42464\n2404 67851\n79773 93815\n50719 71848\n43939 49599\n58332 87739\n25174 47111\n29134 53204\n55697 99791\n26734 35702\n53943 67626\n6036 56545\n11357 81120\n12465 95624\n12618 93084\n9329 24694\n45115 60597\n53996 63433\n25582 93377\n1870 87413\n14186 77941\n43529 72347\n1540 76008\n21725 51809\n24757 28234\n14679 80854\n41764 72131\n12807 74827\n32650 41593\n12282 13732\n15578 27630\n3542 50143\n38234 44824\n21937 83696\n32877 45533\n4517 57150\n66711 82782\n55588 82840\n15589 30345\n17541 54179\n34516 86659\n43871 47411\n10526 40661\n957 27809\n53016 59922\n17877 75149\n71497 87492\n53721 88096\n77564 91691\n6935 93092\n37349 44731\n23656 67133\n26426 56870\n51153 92959\n12514 55055\n9489 58040\n67672 70074\n25127 50273\n3731 68887\n70848 83928\n1847 59693\n7907 62357\n31563 45290\n63963 66166\n29134 68759\n77926 93488\n69282 96850\n55109 73002\n44285 85331\n8464 97600\n25857 55546\n73476 98938\n48193 89006\n5187 74510\n38585 98674\n322 56482\n84920 93863\n46258 71710\n16765 93114\n10689 14998\n20469 95176\n1186 24062\n4140 41815\n39042 42504\n34763 95870\n3040 10698\n1965 43955\n52626 89893\n56690 87546\n708 80224\n52546 61806\n83830 85442\n7286 78965\n1154 53448\n64084 67676\n63127 97183\n51989 59654\n48582 69723\n22756 88144\n14828 26073\n667 63948\n46020 95002\n4404 98683\n29852 63436\n37047 82469\n5400 12264\n31854 55271\n23533 71433\n54846 83251\n8614 47925\n21607 63639\n9339 82871\n14946 82410\n84366 89995\n90939 99296\n14709 29351\n74714 76964\n2466 98849\n41091 90099\n18286 73861\n42779 50357\n85525 87552\n24642 96671\n49377 57107\n27459 91137\n33940 89510\n8218 66189\n33144 67810\n33702 71108\n32913 85342\n23847 47341\n45075 98470\n25197 76750\n27938 73917\n58368 65016\n51718 70941\n32136 61225\n42327 71998\n69558 85591\n34271 75277\n38944 81229\n88902 90642\n3553 84129\n26807 32430\n15808 40090\n41001 42441\n6953 31768\n37913 66639\n52685 91802\n41597 66576\n54062 95906\n15406 26596\n1115 52015\n49447 81349\n20944 43743\n66353 94362\n10568 11624\n43945 48591\n75497 99559\n37227 84100\n46030 98376\n68081 90453\n31226 33729\n18778 26145\n55486 68918\n60415 94462\n12510 90480\n51006 94477\n77193 85534\n68438 81867\n47521 92036\n40217 44466\n19009 99608\n52522 57640\n8306 36893\n32322 67969\n24713 39648\n3546 13873\n7618 59357\n14960 57935\n41117 65074\n29641 83947\n12682 86604\n9018 85605\n2074 50248\n84611 88946\n45960 82451\n23086 31114\n54266 92085\n1832 6898\n19082 47334\n81786 88574\n40220 49820\n29410 50596\n5773 22734\n8148 31487\n20438 98218\n21695 28955\n76233 98318\n38085 44217\n18823 94331\n7460 28180\n30394 73343\n17691 64938\n28679 73561\n22289 96855\n20625 43810\n36659 74416\n31820 86036\n34517 83304\n40579 64932\n3316 99409\n80620 85225\n40965 73171\n24529 75678\n11903 13621\n72104 75718\n34159 82987\n13234 48773\n46524 84818\n56988 73343\n10074 28080\n49224 54621\n16798 90148\n73055 97072\n15015 95185\n23811 72642\n9917 44674\n32708 77701\n58281 76410\n21552 92971\n28011 88236\n45754 51393\n43798 47498\n58005 94064\n8547 29161\n11140 60751\n9355 69572\n73958 96922\n7072 54780\n16356 28464\n3642 68307\n76007 86663\n1318 66982\n55555 90151\n33813 55439\n18315 33374\n29049 59895\n43639 53491\n16319 40419\n21572 47899\n5203 56059\n23784 99114\n64716 97339\n12375 39957\n46712 72958\n20323 60421\n16226 81042\n13654 59094\n40869 56623\n10075 36850\n48790 91776\n52116 59468\n73168 82307\n2665 91745\n84948 99288\n26642 31968\n24061 56673\n45405 62998\n45865 64037\n22065 39597\n15829 67022\n28047 31826\n42024 45095\n9483 47893\n14366 78674\n58144 66180\n2696 11467\n61932 71425\n9438 78663\n99025 99614\n33929 68885\n63095 82993\n6931 47375\n18239 23514\n30718 63012\n76288 96051\n22305 36393\n56063 72025\n40422 72850\n51479 58845\n5897 22064\n25355 92342\n32678 69306\n36771 46606\n52976 99191\n17794 87687\n18586 79334\n7704 96185\n10682 21469\n4263 77372\n9111 36986\n5025 5666\n2467 16171\n15538 46180\n1145 71372\n13388 32935\n30274 51831\n15062 17726\n14467 81945\n65161 69186\n32530 73995\n37744 41848\n60122 68083\n49077 98525\n32647 56875\n1777 68096\n35750 88828\n21173 86191\n52093 83205\n10347 76447\n76272 89685\n22144 99355\n5085 43583\n24662 80950\n2972 56727\n35660 70817\n10609 85089\n19252 26315\n15025 38421\n88225 92935\n59654 74582\n39516 98774\n45640 89107\n50255 58243\n62965 75935\n61891 96480\n75557 76067\n57610 77112\n15735 71032\n31114 98492\n32479 50488\n7449 65498\n72585 84701\n16692 96126\n22742 36119\n4925 83995\n11854 50579\n51079 81265\n76177 88791\n19172 38408\n38027 83708\n12333 86513\n19578 61223\n73025 78110\n9876 73847\n81918 90434\n27989 57139\n2384 90539\n10866 26043\n90735 92679\n15334 68357\n87622 88362\n13156 52757\n29643 94659\n53847 61032\n5191 75254\n14138 32811\n55449 82480\n62695 81973\n62584 95388\n6227 6271\n10402 44915\n28141 39945\n940 62403\n55924 71681\n27181 37532\n41868 52924\n10 27404\n71651 86134\n2490 81638\n53649 90332\n15789 65781\n64601 97497\n35875 82252\n12085 84025\n70627 97638\n18322 64590\n10974 72845\n23652 77846\n10127 70086\n22236 53509\n5432 98743\n58447 76924\n24361 92465\n16208 64519\n54141 89211\n39863 84604\n13625 50160\n7094 33066\n23161 49397\n28290 84884\n49176 55304\n9364 86341\n58728 91783\n54055 73123\n21750 29728\n31857 81984\n38774 99985\n45415 74064\n77364 86852\n70875 99986\n31922 72075\n59659 85660\n6141 67032\n706 88807\n34528 85574\n49688 59643\n15555 28250\n10770 43055\n25042 38548\n61748 85858\n38024 57896\n16729 54617\n29622 98906\n2211 96923\n77381 96228\n62966 68702\n36853 94668\n16445 45708\n24585 57966\n38091 68037\n48359 90902\n28742 72498\n50657 85206\n8035 82409\n42459 60822\n10001 57578\n28983 33971\n36613 77403\n53683 92728\n59951 83621\n39136 93813\n31575 43318\n11000 90052\n36207 37488\n18196 98925\n69153 69396\n22486 94724\n46080 57040\n18397 25932\n84582 93798\n16558 85844\n60420 61342\n6911 83384\n17698 62323\n52823 77544\n23037 93658\n2269 15584\n46613 50870\n27740 96877\n33506 90415\n30756 47568\n23536 67621\n44639 45686\n34499 67978\n60884 86957\n3270 47929\n64292 71654\n62508 67705\n24482 83861\n15816 51433\n267 32776\n33711 81436\n2893 13480\n26768 77800\n36973 62386\n8601 40791\n25967 96858\n40234 71309\n66707 73612\n4559 71288\n1769 40548\n38400 91272\n45331 72729\n81529 89540\n1195 45987\n81291 83790\n4028 35328\n40425 62335\n36874 41974\n12591 72104\n85560 93226\n33635 95235\n27071 58785\n25015 25889\n27085 95869\n306 95642\n62827 66737\n26693 69762\n32082 39606\n33821 96279\n13361 48125\n36219 52131\n60683 62256\n37844 95161\n36052 51965\n437 49506\n5011 54134\n27291 64372\n2901 37032\n19312 67363\n46931 94133\n447 17332\n2065 47180\n18565 30021\n6323 87617\n56875 61140\n42533 45645\n90050 90633\n80318 84533\n51861 72859\n47006 81161\n23356 53992\n7430 85919\n38869 84868\n38466 97356\n76417 93151\n47165 94422\n70300 90203\n21790 37977\n13229 94689\n422 52348\n17124 91984\n34030 70889\n21572 33098\n366 65577\n45366 62371\n30703 52349\n12482 17777\n47365 61604\n25957 29239\n28904 80762\n67594 92316\n20003 74836\n13743 89915\n51901 99032\n54155 55074\n61003 61345\n12378 94396\n40016 50963\n50617 86051\n30359 48066\n19931 86241\n6343 52761\n435 19667\n41281 43961\n3036 13037\n41778 47397\n36360 87629\n6756 97451\n79945 83680\n37085 56521\n45035 60412\n78377 99777\n4236 44535\n65862 85798\n20845 37197\n16190 16643\n80262 98931\n34554 92513\n11158 71609\n19452 88557\n12226 65217\n2862 39598\n60910 81197\n37595 57416\n12575 14882\n31910 36964\n24268 60040\n13807 15418\n12491 33557\n14889 44418\n63082 78650\n14465 60246\n1971 22100\n13473 82072\n55776 91337\n62282 91829\n15054 47368\n39593 88533\n69709 70015\n16620 95393\n46315 63028\n62300 72054\n47578 94545\n26178 64087\n36114 78812\n57934 74619\n41002 76681\n17674 62045\n2821 81770\n57788 66482\n7990 14138\n19654 69022\n33489 89299\n24368 56482\n8487 76898\n83512 96624\n309 25083\n53056 71379\n55676 58717\n15059 50730\n95113 96674\n9233 51891\n4920 36182\n16572 72778\n37329 76142\n11262 26101\n17342 93421\n54912 79491\n44781 91744\n51094 85028\n77136 92785\n4180 17239\n24356 56516\n32097 51207\n6593 59811\n23264 51050\n83504 85148\n826 45738\n35864 62568\n69743 91318\n84883 93146\n7640 39996\n45614 92735\n9295 35415\n52962 91099\n72043 85459\n15002 53260\n18967 71379\n17414 44277\n54792 64704\n56179 59069\n8309 79070\n14156 74359\n65341 88497\n12396 27342\n2431 80045\n80350 87936\n13839 43998\n93589 94119\n19122 94667\n70786 72403\n67569 83060\n13459 76506\n37090 96655\n31328 51245\n87836 88583\n48930 53474\n34406 80416\n54328 57633\n48854 89333\n10111 19908\n21331 62105\n18732 46916\n44186 95687\n36565 60279\n40873 55541\n39912 62183\n51000 91807\n17601 71392\n6385 94451\n537 54039\n93816 99314\n41821 70260\n77059 91878\n47925 70042\n4476 70381\n75619 96604\n814 45741\n9257 34417\n88798 92709\n20663 37778\n39224 63005\n28320 99856\n7277 25803\n790 21424\n61279 80287\n22935 49626\n62853 81245\n54723 98937\n14136 28374\n64363 95516\n14110 15458\n5033 22578\n4279 13075\n11834 15278\n48936 58301\n49033 81503\n18387 24050\n66843 71354\n28690 59511\n55212 78132\n19390 71241\n45459 84486\n13444 31808\n2982 23002\n53207 54997\n62790 83234\n55941 67702\n51041 54314\n14442 41885\n15067 27450\n28184 41687\n64556 68968\n2929 18332\n62103 99169\n4983 16894\n50508 80471\n10156 70919\n49494 94091\n81882 98850\n5623 75107\n23893 63800\n45022 47559\n41559 85351\n45146 89107\n3650 43915\n63090 98786\n73862 77775\n53142 91607\n21225 23341\n5947 17795\n13184 13907\n9346 96692\n55865 89119\n24798 69037\n59856 72505\n11713 44178\n1807 63034\n2975 75650\n28744 46149\n44072 95431\n36081 70183\n76384 95594\n5658 65076\n83747 97976\n8012 55012\n11332 43875\n29425 54466\n9311 55606\n52429 56981\n63444 78806\n55456 95631\n38309 42145\n28449 59212\n37440 40694\n10798 24290\n12978 31896\n17620 91401\n47702 98426\n19675 53342\n37889 65868\n58712 90173\n10430 29694\n21908 24695\n20674 90442\n7910 30398\n14100 72417\n32506 59990\n6404 15215\n7358 80178\n47154 81841\n51549 58913\n70179 94453\n46210 72876\n15885 29826\n10042 31289\n9901 16370\n50563 62696\n5324 11661\n59868 68265\n10713 83235\n91541 92047\n208 34999\n57722 88779\n7292 49816\n61350 81055\n80258 83190\n16837 22239\n14975 84195\n2816 34389\n2412 28018\n36401 65808\n15546 94146\n35932 67549\n50446 63370\n14870 62915\n291 43492\n41689 84042\n1691 14107\n64842 98875\n17405 55977\n58344 90722\n12635 79000\n24958 46817\n85870 98515\n42330 72594\n2182 73018\n27513 33149\n13281 27368\n2155 41059\n40217 98951\n30164 94200\n38480 95605\n27698 90497\n73346 74994\n9078 79279\n28535 88457\n76641 79570\n24188 40871\n37320 42891\n40737 98991\n24353 36316\n64391 96242\n50386 94407\n16343 99259\n21151 37981\n33567 71419\n52733 82854\n4543 79947\n45352 96416\n63986 72428\n7246 74664\n23566 32914\n51436 67032\n33413 56460\n36449 53388\n40690 88325\n14017 69392\n16602 41687\n50582 69352\n42135 64897\n63502 95005\n11066 30268\n37564 45777\n6378 40155\n50022 54679\n14761 79836\n5460 43684\n67475 69855\n83456 87184\n29038 44979\n33047 49740\n58769 85071\n47694 67893\n4111 89930\n78310 98231\n7345 53989\n41118 94646\n31408 86936\n34255 67791\n12388 55176\n6851 31926\n66002 72460\n35485 77817\n30788 57412\n30283 83458\n18661 44037\n46758 82226\n86062 95112\n36781 68756\n32229 71057\n1797 99631\n51698 70995\n10133 44711\n5698 77158\n12922 96668\n2286 26471\n4652 55898\n6234 57005\n32459 54041\n29114 60911\n45632 72900\n77579 90253\n7182 21443\n42954 96182\n2031 83415\n44444 93391\n22025 93143\n31107 35232\n16244 84652\n14233 70962\n14568 48292\n33433 88804\n24843 25797\n37638 83785\n58958 96105\n8093 39608\n7932 58492\n43522 99020\n46940 71579\n6193 24767\n29267 91877\n14618 32516\n5417 58972\n58176 99334\n8301 24820\n56444 78392\n23623 89973\n2175 63141\n23342 80914\n68515 94897\n16119 94322\n83575 98014\n23312 33234\n19952 55631\n12236 40887\n19013 19773\n13756 77865\n64548 70400\n11176 80021\n63016 74234\n20353 23380\n53988 85087\n15599 74367\n23117 72331\n57817 88383\n18764 85861\n31037 58241\n48139 49743\n28309 49180\n90435 90994\n68095 98572\n27386 97302\n63553 90761\n20255 39674\n25172 62712\n5460 48780\n47671 71523\n18147 52583\n90075 99537\n17138 65255\n16194 30344\n86224 96221\n39934 68860\n31539 73412\n81874 94043\n788 91625\n41355 81627\n56702 78986\n3030 99822\n9567 16128\n61663 80210\n19729 66439\n27639 52306\n43069 65046\n19226 61288\n23243 87119\n23931 31066\n14894 64624\n1438 12643\n38169 75311\n29975 36404\n33690 41958\n13300 76685\n16160 26650\n80930 94249\n16454 41077\n60011 78734\n58077 65006\n25 85435\n78584 98244\n13763 52977\n31773 36488\n21329 31637\n22484 90088\n89655 92991\n20673 94846\n24028 94552\n12356 21066\n12413 28140\n63875 88098\n16337 57097\n26051 42885\n74124 89986\n4069 48230\n9708 61149\n10735 17967\n19413 21047\n77693 83753\n70648 89933\n54070 59170\n13928 30803\n42483 43610\n52987 76016\n54700 96785\n36784 94071\n30309 65801\n29422 78131\n77904 95350\n710 67860\n38632 69975\n7209 45305\n85855 85999\n31723 73319\n2253 34425\n82259 86801\n47241 78320\n96551 99305\n91974 96774\n32398 93863\n15963 79180\n73312 86432\n19159 43212\n25414 41940\n44025 74250\n1457 82088\n710 88502\n51152 62134\n42601 86717\n37728 86307\n21735 33816\n57383 72208\n49499 73263\n21432 97194\n37100 79488\n7571 27371\n8270 14224\n42848 94568\n11329 77617\n22246 98790\n8639 57038\n47616 65077\n23221 34694\n27932 63454\n31636 77740\n15382 99740\n80258 85168\n3548 49868\n35875 36905\n15561 16363\n41183 92646\n19667 56346\n13853 33791\n48925 89002\n55213 88122\n446 93691\n15905 93205\n16766 82819\n5693 61636\n62012 67347\n853 44753\n73495 81092\n17836 54007\n39488 43138\n25750 41670\n42640 88834\n23425 61836\n22668 77337\n21059 61030\n33318 46951\n72303 75293\n30406 80555\n9478 64997\n27750 77974\n81129 87927\n11965 80956\n14385 95148\n468 45261\n39050 80563\n14410 48995\n14536 44570\n5673 9158\n54334 60643\n42813 43298\n80173 90884\n21657 68372\n6916 58284\n22601 23358\n2504 95009\n65195 76013\n39467 83980\n49099 68899\n10322 14044\n85190 92086\n23700 36562\n22430 82300\n25630 27949\n35298 35327\n3259 85529\n19847 75928\n35901 54980\n22194 59185\n854 6292\n50096 55303\n47787 92326\n599 1931\n2616 17051\n20017 79915\n44010 76268\n4919 8785\n75903 78815\n32570 56157\n5561 22504\n23673 86461\n28272 99638\n60358 61229\n20954 75735\n49470 99556\n19649 68872\n9407 95095\n25544 98180\n41809 58236\n2519 93477\n64831 67629\n61230 84191\n47904 65125\n32966 58673\n72200 78633\n22742 97905\n13814 35971\n8995 52893\n32150 38909\n57167 62495\n21298 91967\n24277 81953\n49542 67302\n60032 92986\n17831 89780\n4704 54172\n15095 39812\n32949 38179\n27139 34871\n46384 67535\n20489 80229\n75534 79108\n9361 95363\n27646 97551\n22015 54697\n29524 96546\n14228 97570\n70576 79981\n76579 82315\n50683 67443\n13506 65486\n63812 76917\n91107 97654\n872 22836\n71395 71976\n24449 35973\n31801 62637\n35030 81753\n5950 25337\n9563 56654\n13477 49561\n19279 48597\n15072 80450\n4449 63832\n42725 64430\n35595 72663\n1973 66070\n9987 91776\n33842 38516\n10608 76198\n23013 42177\n20176 84143\n1697 15078\n21976 93069\n6629 40161\n24922 43150\n1782 40414\n11249 51109\n56295 80520\n19663 96540\n2236 91783\n18474 43385\n22155 23119\n23625 56052\n17606 73012\n34334 57382\n47714 86055\n59507 72952\n43319 88833\n14628 17647\n4862 58610\n44306 82495\n9638 44644\n42205 73882\n44885 59133\n59970 93162\n63479 71388\n81237 99879\n41464 66645\n3529 23722\n11582 69462\n65848 94219\n44508 74793\n67334 87552\n46934 73440\n72427 76135\n7713 14358\n10919 53844\n38351 94117\n42858 94903\n33763 35912\n23514 88029\n62925 80391\n20363 31692\n73549 74913\n485 71275\n33726 63312\n73140 86329\n7317 12548\n42603 93853\n10486 15501\n17236 97727\n3134 97820\n16801 85580\n26323 66162\n27305 56337\n10491 54222\n84779 88427\n11919 47355\n33003 77318\n64842 93260\n56129 97046\n34223 42063\n40007 52809\n69119 70181\n59822 62783\n53189 94517\n61612 62161\n37028 69793\n53033 79736\n399 43537\n36383 36665\n9439 77365\n34151 38848\n6171 66484\n4329 85254\n5326 42756\n15488 74175\n26614 88324\n19515 31779\n37560 76412\n8728 18977\n29017 85037\n5287 5691\n7056 55525\n19120 31630\n23142 91251\n38858 86696\n31546 87705\n55336 76543\n13591 26481\n23855 41230\n16168 93050\n29161 70040\n33705 83044\n52487 79978\n64338 75176\n3413 68516\n9645 13410\n29491 75553\n34705 47999\n51666 63200\n30706 61982\n1486 57707\n13453 30557\n14786 37371\n22238 61825\n55213 90287\n27213 38108\n38245 42473\n31336 52605\n9275 33965\n16018 39119\n37089 64968\n15467 16781\n38661 94373\n83141 86889\n75096 87788\n41754 47977\n64103 88986\n39313 82532\n36864 73827\n29380 45776\n78764 83196\n27252 72168\n39342 77097\n10406 24438\n8483 69671\n2100 19387\n1596 26854\n39997 87498\n14640 85182\n7100 77514\n43915 87231\n48232 68173\n57925 70414\n67600 79784\n1957 52040\n23395 55325\n31804 95133\n1806 49757\n11988 82886\n5883 44124\n10500 74929\n15581 38464\n33389 34975\n8002 62491\n47566 97446\n69346 84254\n15704 77177\n35385 76893\n38001 46407\n30559 93781\n7943 95850\n38242 40179\n52653 74670\n11756 15652\n37448 88326\n47415 96315\n18839 37779\n66674 91554\n36041 59692\n49045 58484\n56428 80260\n2420 98724\n4750 94651\n15281 61112\n79230 80379\n30827 75993\n43256 81255\n54573 77963\n30983 40450\n69667 92450\n40219 51499\n15751 55662\n43409 84048\n76053 99402\n55124 94955\n29623 82440\n1029 96235\n42936 65498\n38492 75789\n9621 41756\n8494 79115\n48137 85989\n5419 54255\n59249 80455\n90717 90767\n6633 78689\n20508 25254\n78380 94558\n3836 41958\n16365 31271\n35631 54950\n30317 95055\n7099 31943\n1121 19117\n4982 89457\n8738 21887\n29351 56405\n65121 68021\n93137 96159\n58945 93475\n61977 79976\n34212 64547\n33271 84381\n48411 86392\n38560 95935\n18381 37457\n1485 26058\n27346 28307\n94484 98876\n93215 99160\n74 56611\n33480 88372\n53769 76529\n9030 94050\n4752 23354\n6319 40803\n24825 63844\n65553 87295\n32661 66093\n35464 97933\n36580 92434\n4028 25761\n63374 71403\n8178 77774\n10350 81055\n40356 77808\n25120 58763\n3397 67256\n42346 81442\n29842 92402\n46504 75120\n3087 64454\n36072 77164\n79386 86456\n21935 32588\n9836 20848\n578 24785\n13690 51085\n7537 37588\n7271 46795\n52506 52817\n33383 99318\n52349 53129\n46249 65377\n864 36170\n30824 65072\n75801 82886\n75549 79719\n17250 65636\n26806 44098\n82859 86907\n47407 69591\n35781 71361\n55831 72737\n37207 75650\n18107 69949\n62214 85781\n40384 87603\n20862 62491\n9143 52354\n44721 73277\n2159 3863\n17824 25859\n31872 33519\n5752 60947\n94676 96148\n68631 83215\n45146 74312\n16252 38910\n19102 99639\n31609 96266\n64335 69796\n82354 92663\n17058 47930\n18293 72356\n59168 95166\n34247 44884\n61308 68231\n51011 94825\n8622 53126\n40424 77499\n7301 12757\n15142 66193\n38530 99021\n51968 75571\n55716 97346\n10529 97540\n8771 52582\n64527 79431\n15215 68258\n55215 84425\n66173 77007\n17896 43316\n3454 80302\n20820 70418\n74683 97920\n10339 65537\n49832 63004\n45095 68175\n34426 54121\n18538 21717\n72183 93855\n31431 80339\n69803 97534\n14097 92369\n83573 98132\n3842 35828\n2090 3174\n6534 86707\n39106 82237\n3672 25444\n81961 95047\n10532 58528\n19316 71778\n21503 57070\n19857 50244\n15285 74920\n8040 42617\n35511 67462\n58566 76975\n24040 85223\n58038 99227\n17256 18408\n8981 20089\n26967 66800\n19577 76612\n11541 42988\n43343 71343\n11501 85981\n54690 58940\n53268 67574\n63383 91547\n8273 50359\n17315 67051\n77428 92340\n2755 16317\n51145 60183\n14575 25159\n29849 60238\n30016 60784\n16390 39508\n2732 26528\n34271 67397\n9652 79828\n45057 85197\n23451 56148\n51813 98338\n63434 74632\n44901 83337\n21413 25308\n5114 32601\n85700 87102\n4582 58774\n67254 87604\n21872 60092\n26352 60324\n20150 54024\n33043 55903\n36759 88408\n83205 92602\n13287 79709\n51512 87972\n20230 81259\n18305 46490\n5075 85336\n30394 60185\n64201 74446\n32847 57494\n16913 82920\n50765 73753\n88471 90099\n10720 32582\n74311 85456\n61973 68933\n56328 79504\n57941 81722\n20083 38159\n59101 84912\n1627 77323\n31134 36086\n34980 64213\n37361 84791\n28008 84821\n60743 69415\n48551 61995\n4590 54191\n22648 24728\n4244 76158\n82827 97712\n78271 82729\n9432 71941\n65061 94097\n84601 91635\n2823 58182\n32183 43725\n24375 80530\n67735 85598\n9437 91366\n22974 24291\n59009 79036\n8283 95445\n49085 89960\n40785 92198\n35558 94517\n21297 31225\n25782 91192\n14096 68655\n10436 47055\n16742 34157\n10788 50774\n50385 53418\n25924 53991\n34044 75964\n23882 67737\n39556 81625\n28837 98218\n21567 95740\n27998 76529\n64453 90140\n19809 35132\n1969 17266\n5848 49378\n62956 89397\n26063 93649\n44179 96722\n44050 95484\n22087 36160\n46582 92056\n27647 40262\n42209 56511\n8540 97219\n24435 41279\n25268 67508\n41614 42019\n48327 98244\n22959 78715\n7301 83603\n32483 90637\n43268 44952\n9384 72057\n12092 59871\n38160 68621\n40717 78648\n1382 73760\n42345 61443\n41523 97105\n12717 81612\n66844 78552\n12581 47308\n7468 8758\n5049 17703\n61934 69255\n55613 86697\n59556 98981\n12347 88310\n41874 56432\n20609 92885\n34707 81409\n35418 75643\n48500 51758\n41 21225\n7942 78646\n17370 84353\n6444 41365\n29784 82893\n32583 48691\n19993 73837\n12175 35624\n45704 65947\n75914 96032\n51530 53052\n31205 63268\n3291 25335\n32946 61386\n4886 60702\n54615 61347\n7560 45743\n41157 74332\n58772 72442\n11672 13073\n2943 54498\n39721 45109\n43594 45807\n2253 23224\n9694 30783\n37265 91959\n53739 78056\n934 80051\n33717 37026\n29781 75958\n31496 41972\n5268 21185\n48997 99352\n3975 84603\n6555 63876\n7570 49276\n41568 90434\n36198 72722\n3838 91116\n40775 58464\n40368 93413\n28008 69203\n8972 43536\n6044 26208\n31923 68406\n4773 88660\n15625 28495\n4661 40681\n10364 83803\n2809 51429\n56207 83418\n33911 69897\n22375 66435\n77328 96627\n4874 70133\n15112 86596\n12991 97251\n8944 94048\n14764 29822\n74565 83745\n32386 66220\n3459 92981\n79266 99780\n48862 94957\n6585 81100\n30995 74803\n61567 83392\n61451 76159\n43001 96708\n15381 55299\n31326 32519\n78947 82077\n35876 51323\n66035 72693\n44394 57282\n28333 90102\n63142 69826\n43271 59787\n21693 35039\n39457 81184\n34975 67774\n64649 72786\n48353 74370\n16804 51635\n15178 80239\n71916 97955\n13687 34678\n29164 78082\n2979 71940\n68466 79919\n24640 90237\n49630 54355\n17751 91876\n63070 64716\n29978 63433\n7403 65734\n53177 98339\n30748 78257\n40903 79284\n12250 96746\n5937 50603\n95143 97574\n15203 88586\n27248 81673\n57909 81951\n15109 94056\n4907 67593\n13500 75017\n54205 57887\n60182 78384\n16757 76350\n57149 92398\n47631 87230\n25819 50132\n16215 67068\n29116 50098\n50251 86176\n53814 81233\n42380 95148\n16279 45571\n18165 75922\n54133 60840\n24139 40372\n32192 58654\n17675 46656\n35122 35358\n38428 49286\n41449 58244\n77400 93503\n13100 25413\n9326 68442\n1145 34041\n1358 76569\n77151 84054\n29961 99874\n858 54489\n28717 56952\n43963 87262\n33779 65479\n30482 51582\n28098 30732\n1865 4935\n35974 81665\n45227 91105\n35916 50411\n85600 95890\n1044 34738\n61460 92291\n25732 63131\n36796 75925\n5882 18988\n71606 78096\n26893 70867\n27629 28974\n86860 94024\n12060 68181\n63164 92526\n30507 73021\n16093 85583\n24339 34905\n3515 43914\n9064 21660\n33846 58043\n54176 59649\n14372 39068\n5949 65008\n32640 38654\n2132 61578\n21592 52918\n34609 81789\n50043 83700\n4711 37616\n71356 73666\n38834 67658\n12768 47007\n12552 46373\n12849 65952\n50196 81142\n21785 33539\n3339 82748\n61295 98260\n70863 72302\n47021 60057\n18294 80092\n28166 84449\n29932 86427\n1591 59882\n31072 78283\n16903 29698\n21898 33973\n19004 44677\n75526 76308\n32987 60640\n79996 96765\n27825 68323\n1864 17713\n85144 99670\n24809 95833\n6229 94639\n64280 68460\n28410 34786\n19285 36297\n44217 49630\n17769 45283\n6564 36150\n26885 70368\n36329 46164\n27585 70341\n17383 83398\n11047 93672\n20937 47109\n68291 83789\n23778 93965\n76166 83410\n64370 67825\n6422 97319\n49941 69175\n56489 63208\n24849 52972\n28082 93322\n11364 85044\n9023 44851\n11700 37426\n34696 65701\n13616 80865\n80298 93183\n52026 67524\n55123 80822\n60059 62083\n7724 49578\n10026 71887\n46571 78926\n44886 53314\n36665 99822\n61812 72697\n10063 62223\n69200 71188\n1968 16307\n31665 71486\n32679 63987\n59349 67226\n329 18783\n6507 37974\n38045 95242\n44219 57723\n21725 31335\n1075 25227\n20971 87873\n21151 21337\n27548 44536\n24810 33230\n80505 81564\n6753 27859\n14833 92576\n51235 66160\n83249 84990\n26861 78106\n44973 81851\n3347 97091\n5600 48008\n40838 80731\n23171 72875\n26710 87882\n49233 85739\n47566 79987\n42933 68454\n12372 51569\n24988 95429\n36535 60835\n3958 79125\n8605 94050\n18238 90255\n25103 80454\n9233 80639\n11457 80171\n31008 72623\n193 52940\n52183 94453\n29610 53337\n24134 70249\n38425 72298\n57001 94057\n49335 73680\n11364 16986\n14256 20377\n25709 91351\n59130 86210\n1246 28117\n267 56486\n32821 91237\n793 85121\n25908 82979\n89132 91801\n56452 58246\n36270 78320\n48143 88049\n50581 69297\n16264 73578\n26588 59181\n56080 61839\n77328 82998\n35691 94821\n47814 78164\n46666 59652\n18642 63662\n44962 82242\n26036 84048\n15290 35800\n31185 43318\n1502 32921\n44763 85813\n34947 92829\n56383 91045\n35450 70663\n1811 78635\n1313 92230\n10316 55895\n8124 87344\n42220 53567\n33801 41412\n58410 88830\n58842 97572\n53749 64133\n120 85903\n73815 90973\n6735 75145\n13445 96487\n26147 66506\n48259 76522\n15660 62513\n21757 55246\n31845 47807\n25593 51318\n39044 75136\n89434 95705\n3034 44646\n19916 26941\n24086 38979\n8920 89609\n18565 78201\n7468 81209\n44288 48047\n79315 86360\n72718 90109\n40808 92829\n16354 38302\n6986 49810\n23797 49394\n22919 28070\n6206 43972\n10740 55778\n44564 83186\n56015 74906\n3557 69740\n2524 80234\n20728 23281\n58347 60845\n25605 39279\n50328 88890\n10852 67342\n29169 49517\n50890 96658\n42551 75533\n36048 62268\n25735 39239\n15102 38594\n72919 90911\n12923 90525\n5812 43242\n20333 84026\n40633 43957\n46884 60401\n21974 27008\n24647 80731\n50570 79707\n34333 89580\n30565 80781\n26044 76088\n11744 26851\n56764 61866\n58160 61438\n17180 42675\n61050 91123\n2186 39779\n17045 31447\n22691 79721\n20609 37936\n36112 71954\n23007 57754\n37444 86577\n36395 71418\n65010 99727\n47976 69121\n33747 46294\n11872 15409\n93553 97681\n24657 47581\n47561 72685\n71129 76348\n56193 70384\n7558 94791\n33122 75622\n57091 83171\n26946 74530\n38922 79115\n5243 28014\n30035 71462\n9861 43893\n13859 66189\n24172 93131\n8201 20840\n16104 84235\n32234 71902\n4557 88454\n3238 54390\n57774 79781\n21292 48280\n20606 84291\n10272 56562\n17491 97425\n47011 50668\n48411 69433\n82215 83915\n53608 69351\n16257 66978\n5807 56307\n70023 86424\n5587 71948\n76833 85813\n6391 46361\n70937 83053\n16079 97195\n45569 49046\n21538 31115\n41738 71640\n32217 69564\n89837 92735\n35244 96948\n45984 76524\n15470 82693\n11455 45602\n22155 47388\n18633 64590\n83514 85814\n1573 11074\n29604 88694\n43534 82062\n56251 70006\n67453 74048\n14005 30334\n33446 66110\n36876 62306\n19062 47540\n44002 78489\n17509 28570\n27758 51519\n53761 61467\n53826 55990\n604 44785\n12181 14358\n64978 90866\n64860 87146\n10225 72155\n27316 91375\n39318 90800\n22958 41222\n10526 74220\n62819 92529\n2851 76281\n40605 84667\n22875 89734\n65318 68036\n38568 56391\n22818 27835\n65247 83048\n53400 59246\n61201 79241\n1943 76403\n84735 98635\n8704 16719\n984 84983\n24892 95442\n31001 35081\n11145 70033\n8949 15702\n19600 59842\n58633 84964\n8561 92110\n27552 90259\n14097 84258\n40538 67714\n24278 56963\n16603 70931\n604 13060\n6753 69655\n47713 57230\n2894 23108\n36981 54958\n18008 46538\n11594 14358\n1847 94661\n25937 81954\n50393 81228\n43485 61645\n17160 39739\n70434 83873\n220 2281\n42459 75832\n88822 94658\n44482 47197\n28813 74172\n3885 35846\n22505 43423\n82892 98599\n84569 92292\n27251 83571\n92649 94689\n13313 18634\n59054 72408\n7395 77783\n33948 99780\n8690 61649\n32739 60371\n11221 31897\n45479 70394\n19326 97764\n6989 16565\n6638 92273\n59385 71453\n35630 88965\n68122 93392\n10108 14160\n7633 18976\n29528 45381\n3619 64028\n30834 33695\n55282 72576\n17610 81449\n9267 11553\n71890 87312\n3387 13920\n56154 70158\n23732 85722\n54012 64680\n56224 88051\n13740 29893\n25424 88754\n9211 56093\n8913 31006\n33218 87294\n45008 66554\n48286 98836\n47340 96416\n26311 94153\n13070 53743\n69008 72669\n8223 76018\n22836 99474\n21200 27800\n2810 42089\n52708 53452\n10710 62658\n41034 57901\n37213 42033\n15325 94138\n83576 89546\n47725 86155\n42714 68499\n44547 54128\n28071 50226\n80231 87644\n6646 19980\n23172 31610\n38744 67390\n17378 51153\n51436 58557\n46217 70620\n38258 92465\n29135 31912\n6164 69226\n9906 30227\n48812 62570\n2300 22351\n40410 85718\n53364 85796\n30117 56161\n18765 73913\n51928 72803\n24184 39741\n33104 57528\n89082 97891\n4142 71908\n62760 76748\n16837 73791\n11499 86019\n31512 69569\n27393 70669\n16819 59160\n21075 23155\n51718 77373\n7741 52504\n61850 74087\n20384 30549\n91086 97725\n41417 57367\n18960 77883\n31479 76593\n24099 80281\n56899 69394\n44284 69280\n53523 80601\n48482 78685\n31537 64887\n31490 78558\n68297 87930\n78678 88891\n10223 37840\n50816 71269\n29761 72932\n19266 79577\n20788 55453\n19500 62931\n14838 33662\n21738 65880\n48043 71117\n56802 64009\n1614 93585\n35701 35820\n17318 47094\n81845 94651\n5101 84949\n50942 61424\n11648 30113\n4118 5379\n15966 23822\n29729 30791\n3535 84331\n13886 94165\n75923 98256\n85607 93566\n10660 57488\n23266 52926\n42145 97705\n77481 90216\n4709 15067\n24189 89817\n50791 89130\n8917 9160\n42702 70020\n41596 99939\n67082 78243\n5299 40162\n18941 45313\n60559 66496\n11767 70693\n50903 96590\n7839 74920\n35123 43268\n9553 85863\n36500 68642\n78700 92265\n46982 89768\n47754 96399\n3712 63096\n43211 64893\n307 5674\n45474 63166\n1016 54303\n22484 28236\n1647 26003\n50027 89642\n13699 34537\n55702 84903\n54163 69111\n36179 75989\n30316 67906\n3018 79357\n40181 69072\n30545 45518\n10069 80690\n47266 74260\n34164 67004\n34567 71841\n45851 95486\n37110 83497\n57844 63897\n75867 82673\n23672 33940\n844 858\n73776 94261\n3537 17302\n15869 97268\n60108 60376\n41782 63047\n5143 11316\n33042 92608\n22211 59105\n75259 85989\n49718 51985\n29336 53387\n59104 86832\n44441 70231\n67419 96298\n7221 64055\n8640 97171\n18694 91923\n40195 92528\n48672 92322\n29172 71013\n34995 91029\n7475 46206\n74886 84731\n7785 40832\n4802 28150\n23039 36972\n3501 38411\n47321 76081\n34143 84669\n28510 32211\n68032 71647\n27695 80959\n20263 96924\n37517 67768\n47365 89751\n84974 98667\n14697 24760\n461 38584\n59209 75964\n42646 62817\n24436 33328\n34041 77568\n27038 92214\n612 46459\n31755 48507\n20924 75173\n5136 70040\n86856 99802\n45892 63653\n93782 95101\n61360 79076\n27975 93466\n47121 99758\n2406 62159\n6311 39659\n19493 74871\n2815 4740\n25415 73221\n48792 78010\n8883 27129\n88690 93320\n56079 70581\n2612 56979\n30987 39636\n28453 72706\n7945 57874\n35888 48160\n65590 84401\n27335 90010\n5187 53960\n27640 33269\n31451 43310\n33696 64144\n32434 61905\n2209 71690\n43103 47692\n26073 39160\n40748 52134\n34872 81059\n7843 47644\n40878 54352\n94924 97052\n40391 72093\n9576 34209\n11264 70990\n59359 88190\n23558 80784\n40986 88285\n6643 64170\n39709 41648\n54236 74084\n36988 48184\n51371 70580\n12501 13660\n68644 91535\n46822 58654\n65246 88355\n77436 84270\n21491 75473\n5759 93284\n14500 61838\n9920 44788\n58960 93570\n42606 67682\n37713 52249\n51056 53109\n52800 83941\n9284 34361\n2831 18986\n1810 92800\n42163 50383\n5621 13456\n49959 67816\n14473 22050\n41885 84947\n21438 38115\n44520 55130\n19318 38669\n69495 82457\n1840 64764\n28239 70657\n7053 70086\n769 95450\n67912 73196\n76282 96913\n28093 36899\n89910 90731\n25702 31690\n8981 68096\n33586 73245\n65542 70061\n71346 75321\n23069 97862\n67463 90818\n76434 95712\n131 40557\n42055 58060\n50914 84753\n8038 77515\n55965 69907\n26510 82953\n30427 92516\n21908 30603\n45587 55547\n78062 80547\n54164 87020\n47883 60479\n67557 89214\n10728 30930\n1576 59900\n95874 98893\n73867 98609\n14839 31581\n57597 68794\n667 58938\n44181 50340\n19831 51535\n13653 32771\n60583 63210\n1846 92273\n60010 86343\n30716 78247\n4928 64866\n26900 99147\n34458 69036\n19570 80035\n61014 89987\n50262 80728\n19007 38374\n57320 72910\n19862 79942\n55415 58874\n29939 70900\n41082 87235\n57456 60148\n29503 54568\n7501 13430\n98349 99462\n19704 75348\n32161 74154\n29627 73236\n18939 78570\n5082 40605\n33462 85076\n19462 93544\n13445 85527\n1847 7260\n9735 29401\n59075 93619\n60539 69016\n6456 70171\n33630 93922\n83760 97610\n47384 77012\n39233 70695\n28391 67881\n24582 93101\n30620 77668\n19369 51175\n42170 65074\n63914 94988\n9346 38155\n29818 35426\n45718 76838\n9722 21556\n9928 80091\n34250 55660\n27067 75609\n56420 94993\n42876 72707\n28324 37975\n10901 90627\n38571 45805\n17864 57845\n23667 34898\n32330 76707\n3190 69278\n21832 90936\n2759 67296\n11664 83075\n25909 35284\n5103 36134\n46372 54865\n3620 88578\n45649 55394\n57789 76124\n14437 14991\n36771 46826\n22684 33686\n60079 80381\n1067 23981\n68890 77781\n10336 86492\n22832 97303\n47609 54083\n39271 93495\n1521 15492\n70983 98394\n51137 54858\n39822 95235\n67566 87827\n76682 83129\n5110 71450\n3677 79597\n37896 82056\n3064 46051\n18918 80795\n67942 85268\n24484 74599\n55962 73343\n74950 88996\n66985 87832\n31337 66567\n49345 70067\n31379 68346\n28535 98206\n40440 66647\n21138 65438\n17774 76791\n32738 73299\n40126 80290\n8828 59925\n59589 76196\n1974 40953\n55731 78383\n63760 73811\n26056 66165\n20654 43567\n73472 94111\n8598 64601\n59710 92762\n1581 69732\n30942 97527\n18964 39460\n7327 14861\n34076 74378\n24135 98638\n76878 77450\n38541 86568\n58550 69967\n54934 99578\n85068 96160\n15710 62985\n16570 49111\n69798 69958\n49142 93143\n38237 45631\n22357 37186\n45105 91901\n20501 95326\n2271 14571\n52127 76338\n35296 97670\n31408 53743\n45887 82210\n72065 73559\n39909 66168\n13010 62684\n14086 35480\n70842 77910\n946 35871\n16986 41842\n11842 70848\n20444 50008\n3521 28911\n10504 18652\n9461 55470\n12930 97895\n46726 82381\n81342 90720\n27887 52382\n56016 89850\n56770 69679\n85572 93380\n37629 69655\n11732 29650\n74913 75873\n49602 98765\n59970 93296\n52787 78070\n26873 79555\n48801 90822\n58437 98808\n35980 67368\n67398 97860\n18976 64730\n67115 76683\n41515 99235\n60030 73108\n39729 96523\n46474 56657\n28854 80004\n1430 85098\n28823 83599\n1119 19589\n13107 47812\n29938 88785\n64494 88466\n10334 63442\n70465 83707\n12130 43302\n8166 57550\n30572 74580\n14382 77050\n32347 77469\n55413 91685\n41172 95557\n29556 34396\n2153 62978\n33150 79152\n439 25822\n39421 59895\n6455 88676\n16703 62412\n15411 72006\n9 32214\n68650 86246\n38085 70979\n9415 74260\n486 85058\n4721 53776\n41261 78414\n43714 73606\n43539 82999\n7518 59486\n29373 47140\n61413 75085\n3311 6706\n31419 38129\n65297 78017\n2949 59327\n600 81889\n81588 99528\n45029 86670\n10945 16328\n9945 65579\n32578 90324\n39187 97864\n41123 97376\n1857 87496\n80307 96372\n32326 90995\n77929 80228\n10694 68720\n70415 83392\n28877 66457\n73811 80845\n6764 67271\n93479 98678\n7378 82730\n19229 33927\n24372 58889\n31713 81488\n5385 85549\n2055 18337\n32253 34253\n68484 75065\n51669 54465\n10286 17033\n32037 84261\n15346 28864\n10146 82331\n9427 12165\n25084 73168\n21945 81873\n35 20199\n9290 36209\n63201 91805\n4849 44135\n36010 99206\n1417 27951\n3287 55291\n39136 69439\n86939 99614\n27686 57006\n44198 88059\n37571 73739\n36023 88781\n14146 26898\n61439 83047\n47155 86100\n71564 85476\n28225 52912\n30757 42938\n48 84960\n15186 90389\n68795 84342\n782 55662\n55026 73528\n67283 89932\n31470 92157\n36223 87845\n73366 94342\n14817 83974\n80502 89648\n59149 98726\n19588 29055\n84641 85973\n30156 46203\n14148 98093\n49534 56862\n26210 56481\n19845 72003\n56492 91675\n76688 77927\n16596 49851\n38378 46149\n38717 91178\n16712 20422\n24740 35727\n895 14877\n26256 30860\n47772 70962\n15381 85343\n19680 86285\n32209 97793\n998 36980\n16233 49526\n72375 78121\n31167 76622\n13090 76947\n318 22472\n61959 76097\n48909 69685\n520 54605\n38040 83621\n48083 59985\n11286 23456\n27271 95471\n72898 96228\n6069 35704\n35094 70693\n2444 83314\n32292 85658\n59701 91417\n14293 22576\n20350 49501\n5585 11503\n30786 40359\n9039 64352\n37356 87220\n24725 53454\n72658 95005\n68921 82806\n62793 85619\n75817 76046\n9905 34222\n20273 71079\n13725 61747\n6032 43695\n30773 79123\n8323 34366\n65463 91163\n18947 42364\n6332 78117\n35625 84447\n30376 41894\n14411 57262\n30447 64397\n70449 88402\n21370 63255\n1686 81111\n8222 70081\n19649 22239\n56254 56569\n84190 92396\n11920 58628\n33292 75833\n9062 34224\n82160 94428\n56264 98839\n13694 76658\n20826 79180\n10374 28908\n79849 81277\n32659 40906\n4792 7831\n31619 87501\n46134 49325\n59192 88319\n46299 55529\n15583 19475\n38334 71733\n30730 60956\n63210 96142\n23321 76632\n46627 63061\n35599 85268\n40085 41073\n30501 39240\n2911 41468\n69545 94096\n58315 81014\n9936 58204\n22601 86818\n52292 88373\n64526 80884\n14215 72446\n16190 95897\n7223 30011\n10344 67976\n31206 94457\n29866 88764\n42513 93663\n10833 20831\n84749 97575\n29063 93685\n89111 89302\n5362 43797\n39907 71387\n19561 20227\n54591 63557\n12103 44559\n486 33148\n7221 88594\n9651 35450\n71626 76457\n3314 79180\n28700 80864\n18352 58542\n14098 93924\n67311 76550\n27349 74293\n47973 79044\n18989 94170\n21515 40958\n60887 82927\n90780 99301\n62638 65499\n82115 99032\n25220 64991\n5394 32172\n57468 81657\n22041 42663\n3618 13686\n27704 77277\n15775 57797\n33204 47269\n12450 48713\n45741 52281\n18247 62460\n16156 49392\n34601 77184\n9899 12856\n1830 71291\n27728 29507\n64055 92347\n14908 41533\n22159 42151\n14599 26014\n77339 98102\n59256 80921\n54330 60555\n6264 23348\n2581 81972\n2629 65495\n23211 33848\n57361 88541\n15971 81913\n13893 55258\n1237 37544\n42722 46246\n71878 75839\n71664 77154\n26805 92136\n19763 35478\n3523 51085\n39447 40355\n41087 65235\n59214 67796\n65367 78092\n4302 24861\n63250 71876\n42045 89815\n64032 73062\n10290 35288\n22080 24765\n25026 85220\n3406 43568\n13207 60978\n25266 81732\n42058 60363\n11923 34713\n4961 97315\n55571 62239\n14076 37015\n7335 60947\n13754 35869\n4624 57529\n46453 89034\n6809 80268\n66341 68437\n24693 76649\n1218 38597\n19507 44179\n27697 82937\n14549 64702\n8561 59834\n27642 28024\n65422 76776\n15335 79704\n44946 55095\n25457 76173\n9026 16250\n21879 63146\n3363 23886\n37468 60296\n91636 95971\n5399 50001\n26513 31292\n3381 19102\n3464 70587\n9075 14434\n6931 7136\n56649 77195\n9150 69019\n3526 64091\n3871 9268\n46543 80650\n12881 69152\n34780 55318\n60097 87675\n15804 17906\n11997 57004\n48925 51954\n4639 53131\n6485 12911\n54099 77910\n6437 81115\n27257 75629\n80028 95968\n52271 86007\n30543 92821\n65909 72721\n2661 10856\n51295 75066\n26135 72204\n54002 91227\n12412 58204\n13101 57991\n42583 96055\n22199 50032\n25192 45798\n42018 81853\n43395 94826\n7223 9472\n3135 90041\n82966 87887\n84599 85103\n3410 14213\n781 37332\n45271 56813\n7597 88158\n664 54453\n29810 59535\n31307 64837\n20676 59608\n14458 99140\n1465 55299\n60751 72015\n19518 94206\n29254 52652\n9184 42636\n33055 79165\n20028 36433\n42520 76602\n60850 76453\n6383 85928\n76113 93892\n11464 39066\n13529 14940\n35484 93271\n53352 75518\n60593 86520\n80156 80587\n15807 96801\n16447 48505\n16422 93595\n74499 85981\n37803 74403\n78154 94831\n17871 83029\n90385 97762\n25101 40867\n63808 83571\n2692 90902\n33145 42001\n4193 13211\n24685 29700\n2494 45858\n53190 58476\n15279 90229\n49805 59170\n33615 89965\n17566 85421\n32610 84164\n17881 43169\n28105 41336\n38082 50532\n29516 84543\n1358 11583\n57934 62545\n59065 98822\n16406 18818\n4667 63102\n47374 89984\n33743 94280\n27996 80134\n27442 37844\n37915 87175\n16511 46287\n12917 51317\n17173 44240\n64 28981\n71630 97419\n89755 95899\n11351 44392\n85000 86812\n77315 93972\n31164 45512\n20048 84254\n33428 73850\n37325 98567\n27632 62962\n56929 98100\n14255 82052\n26293 48096\n42924 48388\n30584 31549\n23453 28271\n21811 95391\n121 4312\n55518 82073\n38739 78871\n33540 76310\n4499 29242\n67243 88026\n31471 34325\n88234 93315\n19792 97299\n45022 49853\n22292 76407\n70458 71964\n33338 65153\n67002 85381\n35974 51055\n55324 75071\n45296 84849\n26250 64683\n47416 96059\n2410 54745\n8223 26590\n20378 35552\n21064 58078\n12043 96274\n22008 58207\n3457 84647\n18588 44400\n38160 90528\n29732 45946\n41029 89181\n4390 32341\n61716 70246\n5208 56122\n30608 53330\n59101 84874\n13613 77564\n22934 99801\n69715 96123\n50780 59335\n12755 96348\n25178 98688\n70341 74515\n23792 82526\n37800 52394\n8154 30734\n164 52296\n37819 45447\n45002 58830\n28830 84378\n8092 87682\n7849 89646\n41033 42919\n11098 57116\n32724 69324\n6872 54744\n33188 66875\n7264 24880\n17002 33354\n4241 92637\n15757 51854\n49629 78912\n23901 45286\n20380 70903\n11529 43154\n16257 60574\n27414 72938\n41833 99909\n45463 89063\n13638 51794\n30781 62483\n8826 71822\n45412 89156\n24753 52572\n8694 55908\n17329 96150\n35990 97456\n9878 18178\n1829 28790\n5327 86260\n87081 92703\n14263 15382\n36525 77001\n52602 73904\n45402 60354\n76623 95645\n25934 85682\n2635 54647\n23566 70779\n42292 42774\n77590 94352\n7036 51135\n16324 98073\n22219 95541\n35893 65375\n35058 88757\n22808 71892\n46316 52101\n10657 14478\n87049 89212\n17775 87859\n8174 59427\n70767 99281\n36668 60353\n68839 93933\n52464 80487\n54162 68619\n63520 91934\n29287 83056\n7571 61191\n42420 46798\n41107 59140\n86506 91101\n5321 89410\n36238 74901\n33605 80092\n22626 66212\n35329 46060\n8462 65964\n27167 99302\n32352 68197\n32659 50598\n2748 42061\n24589 28685\n73573 83571\n80690 87066\n18177 40273\n1955 63649\n88337 90733\n13182 69042\n34935 52770\n87649 95841\n32837 58822\n8553 51507\n10911 73049\n10253 23829\n14377 45332\n14446 17014\n32362 89670\n91148 97130\n61786 83176\n60391 89167\n91476 96353\n7263 27062\n14061 26422\n17071 23402\n19746 33633\n30301 89397\n12508 80218\n38966 48782\n23505 30224\n38602 45546\n36465 47335\n6166 46132\n7542 51573\n10881 41807\n35214 46089\n51561 94327\n1240 33803\n25838 63934\n48283 54052\n89266 89437\n60029 97536\n17859 22179\n37759 40463\n25810 47321\n1112 96121\n72270 94255\n38196 60862\n52970 64759\n7474 92137\n41021 50889\n8516 82747\n17810 56694\n5544 40834\n30079 41215\n70925 99509\n23208 39623\n44066 89900\n46082 74372\n9916 35937\n46624 51260\n34089 84048\n8566 92347\n42788 57591\n31432 57482\n43622 86354\n5523 57615\n7607 49597\n30155 36342\n18918 40292\n22853 25428\n3988 29513\n13442 79166\n43959 78736\n17155 41576\n59516 75467\n7032 40610\n7200 44136\n70741 89469\n49658 85465\n21046 38185\n31228 91009\n4732 74528\n16334 55069\n38170 79465\n20047 25117\n32235 61896\n44123 72298\n39142 41495\n21558 22086\n56456 60025\n84543 87530\n22106 69442\n19615 86070\n48674 56876\n46877 75803\n83942 89776\n9756 78914\n42880 96919\n34730 71453\n1485 77612\n26031 68126\n3578 64849\n29223 87240\n8633 27535\n70554 73332\n16762 83387\n55741 98196\n45833 52892\n43238 85124\n52270 88407\n40839 91117\n33322 53433\n85436 97570\n39690 67691\n51294 59513\n33418 50999\n62344 70593\n6257 13279\n7435 90876\n11572 65192\n91996 94308\n10966 53734\n77522 91524\n56299 82567\n11849 65148\n57045 57911\n8135 19357\n43173 52280\n47205 99063\n15314 23543\n25620 78860\n20444 46861\n23043 55754\n29021 45214\n9273 90342\n57766 74174\n14537 32940\n36118 83246\n2205 53061\n33013 91207\n28773 81591\n1649 39856\n47798 64543\n20731 75519\n8931 55942\n29303 29340\n10119 67967\n33891 97094\n141 68666\n14028 84361\n44313 64107\n7768 16953\n19888 27265\n18963 76549\n55110 88230\n48267 89870\n54966 71424\n10593 37905\n29492 30300\n37301 58433\n9529 75682\n45895 63730\n19231 94586\n35987 79745\n34078 82547\n50849 91283\n51684 58273\n18058 78134\n22964 93012\n3036 36885\n11018 72094\n62285 85030\n29 73868\n3485 57774\n56115 89176\n7947 32115\n22616 64150\n84391 84531\n71964 99047\n22278 79705\n9624 55256\n35556 91659\n78181 93780\n9184 78283\n26156 86754\n9506 88363\n11257 70922\n65546 99643\n21382 76557\n897 89909\n31575 72894\n44950 60719\n38766 74170\n80066 91894\n14162 16283\n26877 91045\n48624 52170\n29361 72296\n32329 40959\n56960 88947\n26539 73453\n43133 58982\n45251 64141\n43704 95936\n42179 43741\n18407 66142\n25093 83147\n8005 70875\n32904 78803\n17714 60306\n17019 23240\n49678 97707\n39655 63993\n92985 98557\n41719 57142\n58282 85610\n90834 90989\n33186 82920\n5365 9848\n49512 98749\n7459 70163\n21016 66354\n5829 89025\n71534 96797\n12601 55766\n34146 42060\n26655 97252\n32926 35949\n72066 93586\n9750 29005\n63613 76941\n21642 70188\n46627 90224\n59383 83112\n48425 93686\n32709 84409\n21465 84709\n56608 92963\n26906 93788\n32215 50838\n65001 98559\n4792 25802\n4589 67163\n48199 98941\n28587 80025\n52236 66873\n19926 60711\n5927 79119\n7177 39535\n3277 30774\n42655 52122\n27826 55660\n41603 93803\n72969 97708\n3738 63757\n6006 26406\n53283 55839\n3820 98134\n31363 33231\n23330 92089\n45834 89175\n6904 79607\n48013 82021\n33718 58215\n41871 62595\n15538 70844\n48176 89842\n1791 28905\n76 17391\n39079 43810\n47243 51066\n17871 61177\n12052 24070\n6121 68612\n27801 97818\n13808 68012\n75519 79219\n8083 69905\n75997 91909\n32620 35193\n44164 64856\n37967 78252\n56427 67523\n9661 88601\n64880 67962\n3536 41324\n28224 63851\n8602 12252\n452 14211\n1503 44768\n42930 66904\n31902 60098\n48766 89830\n27198 80792\n6595 15590\n5927 51383\n46951 58246\n32898 38445\n30306 97486\n39762 58170\n5526 75534\n5743 28962\n52279 62900\n21518 43904\n17869 78243\n26350 38189\n29721 60537\n37779 47665\n1417 37165\n4716 60174\n49538 73635\n5481 25845\n28919 83522\n60209 80884\n56997 64145\n9938 49700\n49167 81012\n19578 59671\n65271 68414\n6549 75654\n10082 53205\n44760 57547\n608 24372\n48705 55962\n75464 92073\n31399 43063\n27345 76684\n27128 91177\n8334 31097\n77595 86814\n6750 39090\n14284 28729\n23256 54622\n84996 92797\n7458 63148\n59255 78303\n51653 74222\n47688 60165\n20204 45870\n17911 93243\n21839 33005\n35936 69425\n47539 96192\n3659 6810\n53742 96747\n41566 80200\n56870 59866\n84244 91868\n3970 53048\n55933 91429\n9894 54729\n33520 46460\n24778 47808\n2951 69443\n25458 47389\n14628 20267\n47275 51837\n48737 91119\n53936 66428\n84954 92202\n38544 87692\n34801 84693\n25361 26911\n8331 79220\n7117 8927\n4092 7237\n30406 93560\n32053 66748\n9083 67133\n21998 25070\n51247 66102\n32956 92711\n44522 98074\n83522 95296\n36096 59797\n2126 47350\n9367 42165\n9598 36260\n14876 34277\n80059 96249\n5156 60727\n34725 44166\n437 75287\n10655 18967\n13570 65175\n41413 97918\n46536 81697\n57784 67802\n15251 55846\n18276 35018\n40844 96525\n17671 39516\n9608 33191\n6492 20981\n551 51934\n54906 99716\n2905 98158\n34812 64315\n41329 46239\n18634 79865\n2361 90434\n82455 85219\n55800 99540\n11606 56278\n31634 86905\n86387 89493\n51789 88207\n18807 99587\n52937 62181\n55799 64186\n43332 72868\n6869 7878\n4629 98761\n64026 75587\n13789 52966\n4914 5931\n82350 98630\n92890 98958\n63798 67943\n46343 60538\n35598 67640\n28508 78828\n18725 80323\n68719 74383\n30745 32065\n25107 60426\n843 67684\n3854 34781\n26756 37577\n63964 79087\n35877 97150\n12914 93505\n74937 99477\n34998 69837\n12184 66211\n4609 52363\n24823 41196\n11299 53730\n63367 83581\n59624 68011\n42098 59612\n14829 95915\n42870 97823\n46278 61683\n34048 77119\n23168 60477\n64103 70061\n62413 67461\n6952 91593\n33391 97437\n26495 64290\n23578 23889\n29213 68706\n12472 35601\n73023 98583\n39573 72320\n23009 96535\n42902 62544\n4702 46624\n33565 83115\n34402 39425\n2117 83118\n35500 80786\n14279 90298\n44555 52440\n24533 69726\n50257 99285\n6796 51573\n93108 94988\n37767 75709\n21094 22810\n77923 87239\n10004 33764\n33097 59658\n7723 63022\n24714 45085\n27155 74499\n31280 73597\n2359 80976\n55486 60676\n22902 68937\n49407 83818\n77959 85585\n5689 89562\n69016 78741\n9451 22530\n8067 43307\n65266 74299\n4438 71909\n28561 29824\n9478 43930\n12837 46061\n25929 97588\n58 15400\n15364 66836\n7292 59964\n19227 74856\n54699 60938\n9078 36878\n43761 70460\n63220 63556\n8960 39061\n19223 77961\n12505 57357\n6349 86914\n43891 62549\n9775 89941\n30936 39569\n23519 46375\n47225 74981\n12575 31238\n98310 99359\n9610 98828\n13051 90499\n51689 67403\n7269 93845\n17816 95249\n12022 88852\n16655 68784\n24883 98763\n8866 60817\n8780 78019\n45667 77814\n11969 90784\n41953 61719\n20445 44628\n17128 25183\n61064 80559\n63435 77037\n2936 73123\n13438 20231\n51257 53634\n62341 75661\n51335 89653\n85820 93272\n21698 43108\n35698 63165\n2066 25054\n15543 57181\n40505 58427\n70082 95713\n6503 44455\n47354 49554\n24930 90303\n33545 98206\n44347 71055\n13634 95140\n43778 84831\n21776 22230\n50407 73906\n49821 50882\n15154 34693\n46458 69983\n45699 80903\n44179 65040\n20836 93774\n18160 53204\n54997 91390\n40805 74390\n4078 6951\n36973 94104\n31424 55787\n43710 60849\n58811 82734\n34620 82198\n23338 72367\n26830 82321\n13813 56408\n18647 81941\n77993 97537\n11754 54297\n37043 49386\n60229 93385\n45163 97249\n159 54524\n60158 98702\n34363 89836\n64784 81424\n41629 75776\n4956 11466\n63640 73442\n57211 93082\n47398 80726\n10135 32483\n79303 99261\n4735 70618\n75264 95761\n12674 92891\n12656 36630\n2660 9507\n17481 33347\n16866 98948\n71329 91026\n9224 64870\n77855 85611\n37158 63948\n12697 77798\n69053 80926\n60899 65430\n59292 92121\n55902 59668\n34582 90728\n41264 60422\n90727 93669\n14492 41483\n90593 98182\n25935 39139\n14016 27822\n78701 86898\n92308 94087\n3485 84266\n10693 51125\n48317 86090\n32643 93263\n69746 82423\n55744 76759\n29688 86747\n24516 53322\n35436 80411\n18581 49875\n87135 92406\n36287 63809\n30918 92682\n34382 56037\n50935 84761\n64156 84646\n17987 51346\n53304 99432\n34510 94899\n12907 12994\n41674 63444\n57115 67377\n58127 89200\n84790 92033\n55821 67502\n2129 27977\n40817 64385\n73197 85654\n7368 40597\n28253 93322\n47905 66604\n14026 20230\n63352 91231\n73746 81917\n76191 87203\n44557 89970\n21856 71520\n16043 57265\n72941 78928\n23985 60866\n33883 65057\n54142 55097\n9365 89996\n35576 86555\n5263 91509\n21630 70267\n31657 96887\n38139 93841\n74313 75310\n31362 58742\n9711 87022\n7820 56832\n64421 94508\n87952 98201\n33170 89115\n1903 93633\n12148 82898\n1632 4243\n84553 85855\n23713 87591\n59914 98219\n26644 40114\n37009 78103\n45317 53214\n489 75124\n7977 14195\n12317 52803\n10744 43596\n59410 89654\n18226 37899\n38107 91906\n33200 51313\n69488 82174\n12875 70132\n27129 94081\n25080 28289\n69634 75592\n68794 79380\n37247 88434\n18088 81142\n27500 33896\n41490 82958\n8130 53575\n15411 81788\n28792 48062\n24318 91505\n9146 98435\n68751 97617\n12205 94959\n64246 87198\n25260 72016\n24637 83978\n67421 97201\n5472 96933\n1933 92506\n9442 93186\n31990 94498\n46883 82707\n15585 36819\n71315 71906\n20050 54763\n59328 66337\n77432 81856\n24023 75519\n27474 46873\n47522 62588\n24206 32562\n40354 87068\n28046 44013\n5736 18950\n25449 86278\n48639 99323\n88174 92607\n42983 55537\n14701 46234\n36343 84926\n30309 38344\n77309 79485\n13529 98179\n1779 3802\n27494 37330\n35691 61016\n1831 78579\n64534 74430\n63287 70912\n57853 98196\n9085 66004\n16626 33864\n78601 86782\n20632 80615\n6015 10922\n35501 38460\n72615 73567\n10118 57279\n34039 41259\n59742 84210\n42525 58507\n4411 58046\n23651 79607\n18946 64863\n28266 65832\n50678 65094\n43964 51396\n28289 92561\n7712 93870\n81047 86446\n11816 61721\n40437 96921\n7328 17485\n7103 35117\n8332 49655\n5205 27913\n28509 76132\n4326 75419\n2479 14848\n16066 25373\n46109 46269\n40795 63289\n13317 44616\n46851 61256\n6197 41597\n3570 36339\n48978 88369\n32123 71964\n12842 78750\n29292 33929\n64565 97107\n35888 85668\n3065 22107\n37439 67974\n32026 34748\n17880 65389\n51438 65326\n93344 95711\n19100 24329\n12258 39641\n14530 76490\n70910 93823\n82643 93799\n10500 94828\n50082 50912\n37154 58570\n51861 90567\n38645 72208\n9754 65828\n84724 97728\n74503 90168\n31499 74064\n66548 99025\n41253 46364\n37567 42926\n22818 42167\n34981 70030\n19451 97721\n43866 52893\n59480 82756\n82773 97192\n61664 87662\n22993 47876\n36163 72213\n54331 70225\n32616 38007\n16360 81185\n48235 94557\n77059 96473\n49425 77492\n24345 81375\n30608 43392\n82450 86131\n73208 79069\n45882 46161\n59674 72709\n64220 96001\n55560 95449\n13734 86041\n45354 46606\n44575 75498\n72060 91624\n30902 31565\n5523 23287\n30179 97849\n43740 48512\n14044 59809\n83137 96121\n16166 89901\n6220 71150\n60158 99341\n7697 25683\n64846 99303\n54305 97243\n13701 54131\n40958 51538\n76777 86438\n956 47130\n49439 80686\n13576 45174\n36334 51351\n22410 25174\n29623 47247\n15857 42370\n23373 34362\n9118 82081\n38622 88497\n3506 19286\n69974 91178\n13013 35354\n13358 71711\n47384 56668\n62190 68872\n76671 94560\n43003 58016\n18830 92489\n30677 84036\n13621 83064\n21496 60572\n17017 32489\n13470 61831\n17070 35484\n15136 83478\n60477 77244\n60700 97325\n74596 90787\n23809 85757\n28285 67882\n57734 83564\n15676 96126\n5505 17626\n62123 99785\n1713 90158\n28740 76854\n49414 96932\n39161 89823\n14390 58993\n30582 46357\n51398 62837\n30916 83325\n63339 90634\n4353 85548\n54975 79940\n29214 70518\n11001 51099\n6818 16680\n51674 83767\n8095 9854\n44616 76665\n45756 83005\n31847 67235\n18578 23940\n5819 10798\n15368 25875\n25920 90669\n3700 65532\n73840 92711\n14695 30483\n35077 82869\n72171 94300\n7617 85585\n18985 99609\n4142 77971\n71019 85128\n12858 27526\n2458 26642\n24908 95860\n26165 27898\n61427 72329\n88539 99490\n6561 54421\n31671 41579\n18995 38595\n55138 59480\n4212 19521\n74046 96322\n94847 96985\n5144 83093\n56675 86583\n52231 58383\n87148 87600\n60156 95254\n13827 29067\n841 8886\n37755 48669\n78576 85731\n27655 51728\n47356 77863\n85040 87792\n5482 23851\n38381 59412\n17090 62336\n40304 89122\n55570 84769\n30411 48761\n16807 66304\n47695 54406\n42579 99906\n42710 93769\n44751 55526\n92895 98944\n71718 98145\n60804 74031\n44476 66954\n3582 78607\n61321 85140\n5623 10731\n59211 81424\n19805 34014\n11682 82431\n51839 88764\n2081 57256\n62861 91626\n19569 95410\n17084 56614\n38211 85008\n63806 81657\n51709 75146\n32157 33565\n66939 92208\n12069 60941\n98682 99536\n31565 51537\n34748 49496\n6548 97378\n59816 95007\n1489 97497\n57674 84364\n36468 37538\n3548 72063\n17612 57361\n34524 67395\n41593 64509\n88156 90629\n34201 40847\n8307 78884\n31201 72968\n17192 20002\n24321 49912\n1286 19799\n34453 99005\n23098 85210\n9762 95975\n19052 88720\n8451 88740\n27971 33005\n19924 55458\n79120 91633\n42215 61004\n54715 95302\n75330 96901\n38445 50852\n26894 72180\n39108 46451\n53740 62207\n25395 59250\n28209 45351\n5512 42821\n3146 46999\n13725 75695\n33912 83240\n36493 54749\n58790 77156\n16839 57972\n24342 96891\n27715 50762\n7728 86343\n28369 41428\n5591 81925\n71198 90037\n3646 36505\n4310 12433\n14081 25756\n2688 74429\n6290 15943\n51614 55504\n28531 74459\n55085 78535\n5516 66639\n53861 77747\n441 12316\n37726 89166\n20538 68343\n5705 39575\n36381 59497\n44400 85791\n46408 58082\n71742 95268\n68894 89111\n57436 93213\n57829 99979\n20276 93367\n53148 84974\n41210 48063\n32180 58276\n26183 28290\n8751 30248\n7204 13123\n28415 63939\n16680 35133\n17697 41313\n83178 95916\n21562 84238\n36113 93842\n5101 58045\n46330 91607\n77948 94645\n34292 61606\n26508 91696\n16545 51302\n56490 81520\n34480 76110\n25799 42669\n44906 60922\n67968 96687\n60304 84222\n22487 88248\n64613 64844\n20391 24896\n42830 79819\n3678 34282\n76495 86167\n7032 55434\n13717 41560\n46417 94813\n31474 96612\n67815 94703\n43142 78160\n2615 19961\n30808 83562\n54310 93525\n1227 91777\n49972 80463\n1642 46143\n15226 84018\n37480 88662\n11725 35383\n6670 95915\n59179 60104\n10871 79625\n4452 18731\n27773 34101\n28088 79122\n24668 41179\n42319 63117\n69604 84035\n60413 70147\n36017 67661\n48064 65940\n5472 27349\n31805 94901\n78611 85517\n24146 27873\n31241 73475\n85277 90461\n54040 63828\n56053 63847\n52695 81255\n54781 91687\n81809 83126\n17029 46829\n19840 52402\n17004 60020\n12267 36110\n74969 75433\n25790 68611\n366 83306\n52257 58537\n62118 75851\n73372 83613\n7826 56363\n8594 62636\n6468 84797\n43018 67430\n13669 83720\n14023 94451\n21178 93590\n13338 85466\n51024 57920\n45726 58613\n30247 75584\n35071 49326\n6847 8829\n29603 55280\n48808 81563\n27440 82712\n44264 53112\n22712 81010\n21030 25383\n5492 51179\n84289 88324\n47610 86397\n2922 56914\n65198 93468\n59229 91553\n88293 91361\n63199 69589\n74440 76788\n23407 53177\n92601 98449\n3490 18513\n34860 67882\n21200 97796\n9727 78263\n61822 99696\n49084 55402\n17797 73270\n369 73608\n50073 95514\n69869 88804\n66826 95329\n19179 83534\n50843 76537\n36399 47440\n23336 41054\n45166 96126\n15901 83393\n11463 36517\n53035 75676\n3992 51281\n36304 99935\n4471 15983\n27384 45189\n22432 29851\n40051 52623\n9796 84863\n17242 51658\n8484 48301\n26899 69665\n17644 64281\n46537 66938\n75403 89724\n37021 82542\n31644 59367\n68663 69626\n73886 93686\n14387 53235\n73141 91943\n21374 49315\n5314 91974\n39788 57925\n1588 79298\n42403 60470\n51733 64751\n49729 67011\n38729 38756\n15110 32231\n48 56148\n19443 47906\n36825 68583\n22322 93264\n37212 83697\n48988 98000\n6852 71403\n18925 89459\n32253 34704\n70345 91916\n22323 59729\n75986 84294\n21500 83387\n59337 90708\n9068 66390\n41775 97432\n53810 64412\n44254 95761\n1743 44912\n3966 68076\n36941 65267\n6004 22122\n68742 78557\n2697 19776\n68425 69567\n60729 97490\n8092 30013\n29477 54833\n37060 55345\n29620 49220\n13674 99727\n21176 99539\n10531 19569\n39679 54090\n52351 79729\n16500 74378\n2013 53275\n69865 80958\n28245 72861\n98667 98928\n24880 68090\n46524 57184\n35033 53618\n29320 90420\n63911 76752\n48814 54931\n26567 83201\n39603 54819\n4552 12391\n18002 50510\n2967 72850\n1918 45439\n13133 71684\n10654 31655\n9187 28967\n23357 48540\n19052 43592\n24849 58619\n28866 46868\n2507 58260\n32934 40870\n11232 61896\n39864 89913\n72502 86003\n16608 79781\n58210 72256\n27673 34770\n12871 88458\n28762 96711\n26481 32132\n75964 85820\n52609 87663\n26554 89718\n73816 90438\n4870 23708\n4580 24257\n47064 87690\n12319 35812\n19607 29836\n61804 88085\n2656 77235\n86020 95048\n2990 33190\n10489 71636\n3340 18562\n67823 75340\n21733 72695\n77064 91781\n61831 96178\n20582 52989\n19269 53976\n32314 90505\n80266 93664\n10198 98451\n7511 97422\n14012 87723\n55619 57420\n31903 58794\n83339 87485\n35659 41660\n778 83342\n37060 82348\n1673 10202\n60473 83541\n23652 64034\n10976 52643\n3997 18557\n5712 39125\n60943 86586\n31143 97532\n74 63915\n12693 31390\n56829 84333\n34899 63176\n45251 96907\n12961 56724\n26996 41229\n67128 92341\n9015 16185\n13145 27015\n47107 79552\n20263 87148\n25592 80407\n34663 89268\n70618 71161\n7720 99243\n42127 80327\n12516 45017\n68039 89182\n5840 60506\n17039 30525\n16512 65538\n44384 87653\n48194 53036\n19698 53117\n37331 89151\n36596 50686\n27737 59875\n43896 77469\n48091 61197\n2913 69237\n20305 53136\n38560 65727\n34177 61294\n28041 31271\n88817 93834\n14058 74635\n3492 51972\n67461 75049\n27539 50930\n54464 71575\n5963 41522\n22477 49039\n28724 60861\n48203 85825\n56231 64964\n45539 52871\n37059 56221\n45010 55184\n41200 43133\n36608 45888\n43453 70923\n67478 82856\n936 91254\n60888 73408\n25260 66303\n24548 63834\n32237 83568\n20819 57505\n3942 50747\n27822 53448\n37003 82181\n31570 63962\n27583 73624\n18978 66955\n56908 68416\n58775 86501\n53648 83463\n65451 67357\n22524 24968\n5545 61629\n75230 95587\n25583 69918\n26998 73179\n15610 99807\n35199 79091\n22865 52219\n22335 54262\n21097 98759\n39991 80271\n14343 46172\n11134 54505\n54734 66811\n68229 91728\n71188 88807\n37399 47249\n15754 70558\n45731 66360\n2344 36816\n23231 63584\n1627 73718\n62934 73678\n22978 89597\n23725 85021\n92306 94441\n62211 74633\n24157 82702\n6357 16821\n19018 26811\n16996 51908\n40986 64325\n86732 94509\n27499 68700\n38780 67986\n43060 78552\n51782 87934\n22827 95390\n2111 77015\n37687 38422\n61444 61916\n19045 44865\n16210 64854\n24807 52683\n81629 93286\n37093 72784\n28489 83624\n4372 79488\n73216 90759\n37488 93129\n50366 65540\n7356 65588\n4723 65338\n37486 51266\n40810 51949\n43428 60922\n47392 73217\n13484 93724\n80752 99434\n18419 94198\n20490 54475\n83533 98574\n27527 75882\n28952 47600\n35890 98346\n34089 89299\n27034 88969\n32496 87830\n37563 90726\n20024 75257\n28870 92302\n48077 54501\n21270 38082\n3002 20861\n34695 86738\n51257 73914\n11137 48459\n14276 81609\n31607 61630\n33603 71217\n16945 78876\n2742 5977\n93428 95876\n24942 42827\n15316 92632\n17011 88908\n73336 94691\n14834 34890\n24689 83534\n36764 92072\n523 24493\n17942 43297\n47139 87798\n38783 90935\n66416 76606\n6402 48839\n19130 67087\n55294 56029\n41567 61635\n43054 65871\n3972 98192\n2453 16917\n1805 57632\n24973 43910\n13598 98370\n24272 90019\n12626 33196\n20495 95751\n1177 95573\n65683 72076\n64807 66460\n56750 62719\n47271 89224\n903 17577\n15292 52995\n28547 81987\n28140 45748\n48900 49193\n12343 26362\n25412 38056\n32424 48693\n12438 81053\n46015 93383\n38283 84939\n27360 49568\n37326 87149\n65145 94701\n48573 86971\n17662 20600\n41627 41754\n16488 72226\n43873 63699\n38491 89741\n7409 85330\n44747 51283\n34387 61641\n17071 38615\n36727 58373\n65687 84090\n41452 62998\n810 81248\n12387 25519\n63191 75256\n87624 91606\n40740 63734\n7796 45403\n17359 48937\n4556 10838\n2965 7546\n35156 58862\n31571 56240\n9478 63033\n14888 59751\n45402 53033\n31751 66225\n3564 72103\n3792 96018\n73237 86943\n43284 52087\n47914 65643\n16384 72770\n25223 85615\n43227 45118\n13008 59248\n34821 48163\n8137 18567\n11351 23938\n25704 76860\n34437 87600\n78123 86451\n18920 82367\n58140 87741\n57008 88814\n8848 82068\n8291 88286\n20410 67035\n35301 73711\n55117 66231\n36645 96167\n8267 42593\n15162 18302\n45500 74228\n32250 84335\n12234 68910\n65792 73947\n50360 91839\n74031 87460\n15007 31836\n75615 84757\n41040 83792\n27241 77704\n36311 71221\n49390 95565\n8010 97159\n49158 74026\n19556 47255\n24176 39580\n10208 65930\n7914 46142\n11768 14773\n57954 98174\n3803 96340\n30565 98657\n4422 22410\n36352 64325\n16991 78481\n54284 57018\n44982 55475\n19243 93323\n23016 93038\n63425 90237\n19154 32265\n58645 97803\n3085 57314\n58384 71371\n16573 34193\n35259 55673\n8710 60407\n46097 71852\n26587 34321\n26970 96294\n86641 87106\n40227 77167\n23476 55627\n42850 64340\n29155 94744\n6672 80586\n4190 26512\n18058 99309\n52783 86146\n21129 41033\n35267 98445\n40151 98790\n58494 80770\n27496 51350\n69968 91513\n58324 93854\n18182 52290\n24222 65451\n6390 62815\n38833 46559\n2659 61965\n23737 76534\n58555 77693\n34345 72576\n33684 54780\n56776 72502\n24806 33455\n82372 89163\n49929 99724\n79139 80341\n43858 53303\n79407 91251\n3255 49778\n30314 32738\n6194 58195\n38857 74740\n32907 99332\n44302 67883\n28473 89195\n34731 94165\n36801 79700\n39870 80476\n70255 75655\n50360 79143\n6330 52537\n26295 29888\n5254 53835\n21912 56182\n8061 23058\n29650 94908\n10463 36472\n81828 92786\n7636 19797\n7987 96415\n32630 55420\n61689 88330\n40432 86766\n8091 56267\n31198 38032\n65144 87384\n68783 83114\n37907 93351\n61655 90536\n43678 61198\n67092 76367\n18349 49050\n40916 45703\n24947 68365\n4209 95463\n83265 98530\n14619 79529\n536 54420\n72277 76248\n80538 89974\n43307 54788\n36806 92425\n65833 93569\n29433 31685\n32798 34270\n33042 58793\n19905 25893\n51344 76887\n88822 96451\n11373 85868\n18311 76335\n1922 87424\n24819 94844\n6038 46410\n37212 98640\n31862 46858\n2699 47825\n65662 68321\n37085 52076\n52943 96046\n10651 74449\n51522 59319\n23237 44838\n43278 87093\n31586 51646\n40027 40133\n70418 84577\n20285 47284\n37596 53240\n40516 76781\n34010 39150\n31017 87463\n53901 80224\n37706 40018\n57749 89978\n1759 44418\n13219 20478\n60463 91419\n32930 40454\n60923 90805\n39713 91202\n29668 53257\n19146 89909\n54094 93094\n64970 85787\n33541 84463\n11018 77748\n6113 43351\n63724 77202\n53904 95756\n72696 95416\n66920 80218\n32467 51140\n49762 98219\n38801 65567\n76039 89561\n11390 19911\n62758 89821\n13006 55211\n34615 81950\n28279 32457\n62271 66920\n3362 49911\n70588 87229\n33628 99222\n29468 75038\n3350 7756\n2224 87053\n62379 70523\n64642 98312\n9851 96199\n81356 91900\n70262 85854\n14166 60886\n27938 70644\n71468 91193\n67178 75834\n547 46140\n5681 87447\n27769 89678\n36634 43815\n308 46713\n57386 60610\n26931 84714\n123 89457\n20896 62317\n35567 76966\n21837 24577\n79889 86096\n36615 72444\n62517 88204\n69908 73917\n37571 43443\n25753 80598\n20440 59996\n20762 45884\n35647 83234\n37832 96187\n8447 57386\n765 6501\n33509 72548\n61685 88354\n29349 55857\n26986 85088\n7224 68587\n30587 95015\n78891 91412\n2687 81384\n9486 38563\n6162 73600\n5484 45206\n2647 7858\n12712 65311\n65403 76461\n35484 99761\n71302 92832\n18539 95345\n29673 72863\n31098 97638\n29085 86114\n4572 99085\n37416 89187\n12748 97655\n8270 28594\n45813 56778\n6598 53946\n36654 72920\n14095 39250\n13417 34178\n7083 60725\n5545 83067\n43 94396\n12052 44644\n5894 47240\n76025 97051\n15552 56324\n21165 60315\n83001 90562\n46495 53682\n28937 46110\n12807 27335\n35627 53053\n14226 65609\n4982 35172\n14029 76857\n16071 37329\n67447 83632\n35296 75671\n19168 67484\n295 11010\n55427 77855\n76015 94777\n19590 81950\n28576 72455\n89889 99097\n57996 78012\n45001 89294\n11588 23670\n9085 74766\n25089 70698\n44065 76026\n48905 75596\n1745 19906\n22813 25826\n22157 71891\n50574 65977\n13804 50931\n23675 69005\n48282 66662\n20382 36720\n22250 69620\n43345 64592\n35213 83540\n3689 50866\n16828 68089\n43325 72010\n51813 57917\n53310 78564\n73672 78574\n27296 74965\n47330 65694\n13185 35082\n38961 68895\n9076 11966\n16950 89262\n641 92225\n52747 68227\n36119 68337\n53238 82788\n68515 93580\n46058 53016\n6983 14521\n5626 12079\n10293 51844\n62991 73022\n27965 34131\n41505 50547\n5982 57532\n70550 97321\n30159 76254\n16606 71662\n13575 94429\n13024 55227\n29872 34867\n23099 41227\n6345 14489\n37701 81051\n60595 74093\n25941 66798\n45558 82921\n25458 47158\n36874 50992\n52827 69610\n63456 79305\n44248 54770\n6602 82098\n7139 35460\n67265 89814\n84907 89304\n80397 95305\n47013 62207\n30099 47875\n46784 87678\n74647 77247\n76650 84898\n7084 99489\n33503 73959\n42233 93134\n35809 49510\n59310 60293\n16585 78894\n87096 87816\n54800 89176\n41109 45669\n16942 88010\n36846 39628\n35264 37795\n19198 26018\n33868 54233\n10503 14947\n19042 63698\n72119 75449\n57906 82301\n54262 55503\n4500 73352\n50699 68207\n77107 99011\n38247 70564\n81811 87122\n18216 53741\n13830 15515\n53138 54704\n61604 68773\n53741 83877\n27409 76881\n15078 18343\n19781 67319\n87238 91175\n61577 75478\n48235 85963\n34690 58613\n12019 39783\n34440 80987\n2782 32251\n30527 81351\n2776 90704\n39403 56232\n48855 65090\n7489 22722\n54084 79780\n10042 82827\n81133 95559\n27354 87593\n58946 64155\n6527 87147\n88140 90842\n33294 35355\n52188 96712\n51541 60611\n6320 88828\n35149 94192\n37762 89112\n49273 94339\n11663 36249\n43329 95869\n70727 96837\n58386 80072\n8155 46240\n6957 16545\n9803 35923\n11366 36640\n14087 51888\n83185 90064\n19654 53527\n64083 86361\n28360 82914\n59831 84081\n68396 81149\n2281 8607\n13596 75555\n25912 81368\n26504 41806\n21200 23083\n40464 69670\n38639 68528\n30113 59734\n46766 98683\n25641 83930\n10310 55930\n39263 97159\n34769 41172\n25106 46262\n8655 23930\n21011 39068\n25928 88257\n6043 49288\n1575 67709\n11298 39616\n4306 71773\n58136 89372\n6480 40505\n9397 74467\n54183 71110\n24660 28728\n1727 70144\n63370 71864\n52276 66894\n55338 72647\n53673 57587\n16961 67106\n61320 83837\n16870 75554\n27983 70311\n9114 92980\n37708 89269\n79398 94198\n12116 60327\n29421 71531\n33650 81854\n22400 48916\n10122 78731\n56376 70725\n35806 67739\n9098 94288\n37985 44045\n6984 95177\n61016 75449\n28025 50711\n68378 72005\n39937 94914\n83143 95629\n6272 78361\n3268 5856\n44591 94324\n63849 82762\n96023 99691\n21064 68085\n30954 91608\n34322 41831\n88542 98131\n20430 29641\n2041 89038\n56221 76706\n82009 88351\n37352 89066\n24349 64841\n11873 77426\n23753 99796\n29873 34131\n67092 84540\n75056 83367\n5809 19637\n52062 85278\n49410 62275\n62930 66936\n24 218\n21267 90928\n15722 49184\n47060 58466\n24787 45531\n73479 97555\n18248 74718\n2708 93690\n59737 76642\n77282 96944\n32360 55010\n19898 69543\n68745 93992\n3404 50980\n15488 30890\n76655 83762\n38033 99986\n43298 69867\n18712 58280\n70200 72229\n489 77253\n46826 82071\n95202 96348\n46839 49943\n10975 84863\n42113 95839\n12437 46284\n19053 83315\n25935 33312\n21157 97740\n13586 53346\n22508 97737\n45526 47081\n25735 98070\n53775 67678\n480 77276\n29998 57470\n13713 37054\n56306 60883\n45815 47872\n91678 92867\n4257 65410\n45811 94661\n38897 98268\n52988 67719\n79539 86030\n29428 52620\n32709 69342\n29119 90685\n42553 79372\n20590 43998\n32684 38281\n22405 97139\n14928 20893\n26455 63823\n33072 83898\n4757 64454\n16379 97766\n23417 75950\n20815 36612\n70549 85185\n78962 91338\n42796 72445\n10184 57190\n21224 72699\n30594 80359\n1619 28868\n80134 91563\n67429 75225\n13374 41279\n2183 68122\n30268 36662\n32971 60317\n72344 90767\n25794 86918\n49480 80798\n24758 67064\n3922 34480\n32096 86720\n417 81606\n43886 98653\n21930 86818\n29930 88206\n49410 50734\n31928 95996\n25835 78581\n4323 12463\n39327 50050\n8035 94438\n74669 93732\n39829 96356\n31696 70589\n20055 95456\n37991 43959\n31344 80440\n54410 80517\n10418 44934\n14449 27267\n21454 40775\n40156 81992\n45168 50052\n8331 8509\n46720 56775\n16200 79757\n49112 52611\n42422 57967\n67958 72659\n37838 46133\n75845 76087\n16969 66556\n31121 37745\n61475 71615\n36391 93759\n10427 77047\n24605 90918\n44335 69789\n26610 75346\n89131 98402\n15796 51262\n52788 91825\n26568 49362\n30675 92324\n8878 31060\n30420 64905\n72717 91194\n15058 17774\n37361 66319\n9137 14066\n88279 95958\n21253 94171\n16469 71780\n23431 67418\n19227 29638\n77216 99472\n55983 85256\n14410 61809\n38738 67523\n30484 33728\n3951 7075\n38022 88650\n78713 97491\n19614 52954\n26290 82579\n71537 99463\n38535 61978\n1976 9037\n13093 56131\n50295 75561\n33597 89359\n12955 49799\n93848 93876\n66618 91010\n6585 91868\n6747 77986\n12083 71521\n4340 28077\n52126 85296\n47835 97183\n1424 22963\n8349 65577\n845 49971\n59683 95113\n43900 58911\n43264 90029\n77369 89115\n25142 91491\n74285 99455\n3926 81885\n19174 61979\n65979 82597\n25633 53723\n17365 36892\n30467 93783\n25835 44303\n55335 77088\n45489 62881\n29324 75861\n41927 68464\n42928 62373\n46063 53466\n27385 68514\n42616 54227\n59989 61651\n21913 89146\n31982 37845\n69004 81287\n57029 91461\n36299 40352\n34918 59553\n14908 61831\n62028 93864\n4292 95384\n70197 93074\n49730 85750\n15226 28273\n76582 95146\n10617 17103\n7859 94985\n44530 87436\n4962 50206\n8075 55978\n41367 77459\n70932 80061\n24170 70845\n3624 88028\n28299 96226\n28518 77032\n13463 67300\n53657 58774\n13193 89687\n43747 64360\n22266 85834\n37254 50175\n32463 59987\n28857 49968\n1141 16875\n12489 93628\n25303 75724\n18782 64699\n46560 74135\n32021 90313\n45048 90865\n42561 48253\n16932 99255\n21413 55310\n70034 71920\n29761 79080\n86147 92187\n12534 87804\n55857 75900\n32678 72887\n31773 70983\n1846 84411\n4502 83361\n67633 85920\n4023 81402\n34175 63876\n23110 48480\n67990 82951\n11071 78168\n24619 59635\n40283 98649\n78711 83600\n6698 70693\n28744 32618\n8040 73928\n19673 39937\n17778 20093\n79449 95542\n20579 91518\n8464 42923\n50762 69563\n4394 58654\n25330 69041\n34526 61146\n13132 96655\n400 22646\n19146 32874\n11305 97530\n78784 99978\n50042 68867\n184 38309\n38227 74137\n20647 48334\n5714 29875\n45748 64443\n19775 77235\n652 68479\n55298 95414\n74401 83597\n17907 36000\n32091 73160\n52512 74867\n22479 58175\n12443 50153\n10310 92489\n49600 73839\n79209 86674\n64383 64441\n11290 99089\n34314 96986\n38653 74789\n3088 47004\n12692 70882\n47197 71467\n82581 86117\n42581 67026\n22150 82460\n5403 92482\n77529 99479\n92237 97422\n3334 90461\n845 3992\n33738 84878\n31622 67535\n6904 13804\n29604 75170\n31783 86958\n44301 74854\n45727 88866\n3224 60494\n55460 71279\n26199 95472\n62709 72575\n17853 84593\n6495 67697\n4655 38493\n35918 82443\n44660 96486\n51482 86336\n2605 62747\n7065 32242\n30418 90880\n31144 32288\n49050 55704\n69148 87104\n11769 86044\n11898 62887\n17027 93033\n18580 35883\n30190 71462\n32161 72398\n59258 68563\n28554 48425\n6461 12128\n87042 90266\n84682 87649\n13590 98310\n58773 94656\n12782 63996\n20986 76467\n6833 83259\n20581 87339\n48362 65621\n24740 55658\n51981 75420\n54945 76576\n84169 87151\n27026 84091\n20820 37999\n38660 61843\n42148 78517\n51116 78867\n18479 80877\n911 49189\n24433 74430\n63287 64125\n61544 69220\n20175 89153\n26947 73339\n45816 60967\n24944 81481\n291 4399\n78855 94541\n34041 39119\n34503 79062\n45586 84310\n15269 77017\n13970 72693\n34780 75537\n14596 55693\n43995 96765\n1778 62467\n25888 54356\n26312 34567\n9891 72860\n4125 47150\n21097 68520\n23189 61383\n48251 80553\n9490 43197\n5804 75503\n4862 29232\n75266 82803\n14522 45612\n83293 90638\n3573 91616\n81281 83730\n12668 49183\n50862 69503\n50042 51748\n53804 61641\n92566 97239\n38290 81481\n48007 91639\n42726 97461\n21872 75298\n72463 84474\n3231 27914\n14913 29758\n2210 40054\n52746 89614\n22875 71145\n92695 93496\n23849 73336\n32974 45498\n24144 64008\n59873 75316\n10326 26392\n15245 55981\n39556 91545\n41234 73087\n3030 62672\n23658 61290\n22527 73728\n28746 37111\n4878 27201\n36849 60347\n2516 77649\n49466 70548\n69212 85321\n93668 96605\n39913 55221\n35702 90326\n67712 75512\n45851 51280\n82970 83406\n20703 98147\n35530 79311\n47902 50285\n34855 50403\n3054 51481\n23508 77420\n34636 88808\n35218 59024\n22900 87298\n28373 39325\n9820 81753\n60173 83814\n1623 64397\n46003 55909\n19833 85328\n65577 79638\n36122 57304\n19051 41949\n15147 76405\n16211 40073\n8434 98629\n90279 98493\n42301 72894\n17203 72834\n2667 15004\n4754 60659\n51290 96097\n20632 41570\n34901 45289\n11888 82643\n42157 67020\n23895 79680\n6105 54628\n55009 88235\n79374 83856\n72058 97457\n8895 77123\n47445 83092\n51757 62245\n1254 82416\n47494 97621\n13529 49254\n33182 99282\n606 66077\n14469 71210\n92768 95475\n53423 76848\n3252 24442\n10539 68631\n523 33715\n15735 36946\n72771 77804\n21757 23189\n33219 82210\n54942 75258\n8936 28991\n7479 25247\n6459 83931\n38337 48407\n62466 72558\n14798 31028\n6705 82535\n2039 40468\n28339 92127\n7839 76840\n75967 88682\n50857 55918\n522 3708\n14318 62577\n6791 8829\n30249 34521\n30250 74919\n3105 13930\n10878 33629\n33050 88056\n37820 44943\n19694 35080\n14241 26189\n27576 46612\n7443 88552\n27980 95968\n56265 98679\n63420 78954\n28750 69544\n35452 98604\n18759 80078\n24801 44633\n39976 86824\n76188 96614\n21093 68460\n86243 91261\n24048 49229\n24049 34705\n11227 28735\n90723 92374\n15362 43512\n3752 19138\n2312 74162\n71086 94924\n2537 28029\n4333 99777\n6450 26631\n12030 49404\n26023 86890\n77666 86674\n3343 64034\n34625 79652\n13606 81980\n8758 36533\n39943 48461\n14421 94045\n48600 54641\n26480 75626\n72654 85443\n8665 62424\n79677 86404\n62989 84606\n82259 86280\n37168 90042\n117 61015\n24147 90021\n10272 78651\n31898 61838\n79200 98231\n24741 50446\n83890 89583\n2181 57218\n36803 94330\n86943 92389\n62490 87745\n34436 74381\n32658 70547\n432 80024\n1712 97475\n41105 73102\n16825 73761\n43951 63534\n9968 85201\n58420 97042\n22387 38827\n63441 82217\n9431 75670\n17975 45406\n42744 49837\n42228 73894\n9418 28346\n36789 38357\n17996 61928\n20346 22549\n21431 21870\n26329 40430\n17882 55620\n45502 67199\n35279 39592\n12810 93846\n38536 86061\n47237 52655\n29291 93718\n67015 79969\n59855 76496\n50440 78777\n37445 67590\n28721 36404\n9499 85506\n55278 71690\n77711 94486\n14299 62255\n27784 97552\n43785 60306\n54666 92065\n30563 85545\n2223 59983\n14769 90109\n41584 54884\n4164 74902\n21226 48256\n23780 24744\n19666 38687\n51948 59850\n38182 64115\n2840 67630\n46552 77192\n16398 45091\n14720 37398\n18168 35737\n3794 36383\n18590 89844\n34019 63538\n1747 91393\n58578 88196\n23251 77331\n43386 92716\n74198 82333\n14262 55535\n58619 71481\n15636 80747\n38409 73266\n8622 77772\n47367 75775\n922 82024\n44621 93769\n56299 73552\n46111 54106\n77611 88677\n23880 38842\n35311 78579\n74287 74820\n64555 91234\n68533 84517\n3772 18253\n3618 47592\n41546 58575\n17548 57583\n76711 82018\n34498 88132\n37950 69372\n23310 71403\n64387 74283\n27422 80532\n39740 85942\n48763 61295\n41129 44236\n56716 68772\n649 69062\n67991 71063\n7027 71744\n28479 64881\n66342 91460\n23239 76251\n57129 71223\n28946 60277\n44044 54551\n60142 61815\n78066 90704\n7117 81703\n38097 74698\n65436 90940\n31230 70646\n53717 62403\n22748 52232\n81252 96697\n13463 76136\n39941 81613\n8502 98136\n2802 23355\n25574 85158\n66249 97874\n31984 45174\n77811 91910\n54867 99034\n28067 82166\n5387 43996\n23730 51829\n64363 86000\n21929 57934\n11198 56357\n1702 19392\n4139 42880\n81210 94682\n49149 51380\n12026 39082\n2646 95212\n3922 78921\n6808 50853\n82215 84870\n15748 47004\n32190 92173\n5839 87714\n58611 73203\n41065 81801\n61707 95075\n91871 95834\n20348 80489\n22839 34895\n7802 81168\n16791 71289\n41071 96282\n56860 90907\n11184 64330\n35168 85500\n3568 91722\n24985 85582\n44322 71055\n47061 52014\n48008 55419\n65089 69765\n32670 41711\n42877 89300\n36599 60516\n6628 16498\n8507 99009\n33130 48243\n14980 75025\n7553 38992\n21692 65192\n60332 87390\n5175 59132\n3765 95878\n1550 83763\n38046 93712\n6833 13107\n47275 54633\n19700 50206\n70936 83700\n16771 97706\n2114 63253\n45475 94846\n18017 80011\n87065 89146\n22625 99183\n5384 68365\n20401 93922\n15927 22498\n32353 79587\n68701 70715\n82832 99060\n9317 82036\n39007 48958\n90590 92671\n47397 68023\n17340 80060\n4077 8867\n40662 97061\n47481 54745\n13137 54139\n13218 86542\n25546 90540\n18388 50798\n62427 67765\n29487 66009\n9285 49245\n36367 75925\n38262 89521\n34821 85292\n43030 81524\n31792 42532\n61898 66524\n43912 99662\n47572 97447\n2639 47554\n11018 53970\n91375 95879\n48747 89117\n43990 75051\n41722 49833\n52056 87633\n26482 81855\n44990 61001\n13545 67285\n21469 27825\n9108 23875\n188 77891\n48287 89967\n13788 83535\n17414 59383\n24077 88014\n9025 53908\n12725 25871\n43163 62792\n21244 44149\n9563 97472\n42461 70453\n75747 89280\n3243 66088\n6532 11232\n59746 59979\n29891 30982\n64131 75655\n85640 86818\n17518 98519\n53876 56135\n18931 67419\n58419 85252\n30807 50312\n8059 94599\n67004 80915\n677 24949\n30756 32720\n9288 36267\n26415 98414\n1444 94109\n63395 69690\n40355 65718\n27494 57781\n19281 30808\n8228 98505\n47449 93416\n14860 70185\n23423 96627\n8091 82961\n84357 96393\n26759 49745\n5039 47606\n88141 91124\n6016 84191\n11708 89861\n31424 36517\n41792 57742\n8126 40124\n5552 86297\n31909 45067\n33144 37005\n62378 89724\n3789 34444\n52543 80692\n62765 90374\n4316 98407\n83045 86649\n14254 80630\n2088 97444\n7615 22270\n30665 94289\n2678 26398\n46899 67884\n8002 67654\n15376 47897\n32772 39794\n9252 53809\n17302 85924\n52343 60402\n70927 79946\n35763 71755\n42763 98645\n75489 75811\n50096 77305\n74573 84271\n59176 87970\n26588 64657\n72123 81629\n11346 37847\n12094 89188\n77660 99073\n14104 62929\n15985 88334\n23407 73971\n25266 84978\n87804 94651\n34826 36158\n78286 88540\n6868 40609\n72881 74732\n44410 91629\n17589 26583\n23797 39824\n3925 33965\n13518 35694\n5244 43900\n11427 60683\n54574 94925\n56451 89996\n48971 49198\n15214 82211\n5272 55555\n35344 66603\n14658 66368\n10266 63367\n32238 86940\n6674 32660\n4864 58182\n53370 77370\n11658 13239\n23175 97521\n61752 62841\n91693 97346\n38053 55825\n15264 61652\n81269 87449\n38190 92926\n24289 80232\n63579 73444\n21819 31267\n11577 64747\n35380 75884\n5187 66995\n60230 83031\n60711 62742\n17544 98616\n40881 93456\n36460 86318\n28649 92558\n58310 72882\n19146 30799\n26329 99004\n10523 12744\n89083 92644\n17605 71862\n26210 85144\n62212 96572\n13587 15922\n68480 72723\n7852 70764\n73337 80098\n59104 63179\n57709 71657\n13382 62963\n3565 46770\n25717 72858\n28344 62669\n27922 97050\n33048 38077\n49791 77514\n16083 42796\n26266 34649\n84198 92810\n24915 74017\n28859 81994\n30102 82022\n6711 87681\n35064 36784\n10200 11588\n7198 32737\n32919 69952\n69388 87322\n36717 96014\n58366 71498\n61299 70881\n22581 66457\n46401 82422\n167 19949\n59853 69016\n28623 41667\n14698 58910\n9835 93833\n67693 68673\n6990 67267\n27551 45058\n45782 47249\n4968 86622\n33284 34959\n16433 19322\n48785 84569\n60649 96356\n45051 65542\n1558 73600\n5314 27638\n50570 86955\n25608 49277\n38365 92515\n92488 99750\n27112 99111\n68622 80969\n36805 48731\n4476 51401\n58482 84588\n83172 94536\n1601 47754\n56306 65930\n1684 22281\n18709 34595\n88493 96465\n72948 79935\n71673 93505\n16786 73123\n16449 57919\n13424 19686\n6174 46250\n39532 77406\n14596 97287\n32624 94193\n39340 96851\n51422 60825\n44860 60303\n14207 80037\n27934 47388\n13721 92016\n27885 50103\n28378 38623\n31850 77822\n70501 98168\n53109 91394\n71788 86083\n60538 77075\n1132 41295\n24396 42092\n46932 73557\n32608 58439\n66611 92742\n31941 86547\n49092 57354\n30113 71658\n1628 75992\n38218 46584\n54993 66205\n59211 67249\n33788 75179\n12249 76433\n13105 84545\n30589 86412\n11008 19374\n39345 68427\n61259 93540\n45369 93238\n43119 76183\n3564 61704\n17863 21854\n87519 96450\n41304 72077\n24463 41520\n15350 45495\n40690 93422\n31802 33694\n21085 64428\n30628 44864\n15158 22479\n19015 90746\n27485 66292\n12390 45044\n25132 29055\n9025 72485\n25323 30325\n43324 51547\n54194 67938\n62503 65299\n39262 78856\n20278 95536\n10424 29979\n57046 82863\n37578 52243\n64006 70992\n38248 42213\n29631 39054\n74020 91973\n31609 72673\n18207 79524\n74331 97994\n13061 33517\n5237 39422\n5910 8799\n51765 86699\n23928 43049\n2221 10667\n29884 37795\n46225 78933\n5220 65324\n47035 74319\n35742 71888\n43457 61108\n33713 58393\n8371 51905\n22691 36115\n55769 74084\n67130 92274\n37627 93236\n8209 51499\n35431 56503\n7725 64051\n8 67278\n37595 92081\n18154 25737\n78641 85724\n85268 92921\n14907 74718\n34096 44361\n8425 98262\n34285 82146\n4461 70974\n8266 81484\n6879 14313\n1102 40958\n5902 57974\n24672 68122\n51708 73413\n39094 76107\n12434 64875\n43588 91738\n30031 55038\n20654 40763\n11630 68260\n19478 30990\n16075 79787\n75781 77892\n12107 40033\n17018 41181\n79943 83272\n4539 57590\n22145 88038\n4677 61475\n63069 67535\n986 42240\n19273 54915\n31020 93989\n19123 26116\n220 76303\n8738 25596\n26110 85653\n35937 74502\n17171 68744\n39118 75601\n40508 75650\n40748 75990\n22284 75890\n39314 49578\n19631 80064\n38590 88514\n11672 77511\n10269 83754\n17755 89304\n20779 57538\n30194 63302\n34863 67642\n34642 87631\n50508 98295\n32278 90498\n14773 41818\n7728 15385\n28931 89264\n14995 64804\n50284 50597\n30579 71997\n35098 90693\n44447 45122\n41835 51850\n37155 44094\n49012 60185\n25633 56726\n9943 19276\n2549 35170\n39001 77270\n5532 93286\n37518 84762\n3664 97218\n8284 32585\n1513 6991\n10149 96675\n45256 95064\n21131 92344\n48076 48315\n25800 54967\n25491 81050\n21231 65422\n1836 13024\n12413 68001\n8642 58137\n65444 86758\n20492 68362\n53726 76867\n12190 82628\n36766 40788\n59201 97638\n28737 31877\n10119 27247\n1695 73909\n5957 48089\n18115 64827\n2571 12488\n13453 49829\n12878 39657\n47405 94726\n81519 82718\n57899 88004\n34690 39101\n20753 96935\n65652 81665\n65868 73585\n41458 51754\n5505 11064\n56009 76047\n8823 80328\n39356 85355\n34030 63230\n13015 85236\n33926 70993\n13128 98609\n13170 81685\n9727 43897\n6184 64414\n34619 70835\n25823 94499\n26962 82658\n61128 80527\n5084 78337\n46535 49740\n2640 33559\n87457 98788\n52011 63090\n31991 49864\n56962 75105\n29459 66423\n45662 88172\n31502 63094\n15672 72131\n18762 59563\n52172 59449\n74922 83148\n54330 65953\n10717 52360\n64456 64704\n63487 91427\n4747 56523\n39056 83997\n77857 92493\n23099 69800\n25434 37035\n14258 98083\n27060 59986\n14258 39723\n10396 83477\n1772 56832\n72469 84431\n40630 73987\n39664 98346\n4536 65310\n67842 80036\n62326 95060\n59788 84660\n27322 75385\n9847 86362\n16130 48708\n4630 71059\n2755 78490\n5040 78119\n30186 74224\n10979 93359\n75690 98475\n4378 31323\n46668 53866\n31325 93116\n13149 68906\n2020 16509\n44015 49261\n13212 86217\n59350 73093\n7554 95514\n23383 64461\n1624 24502\n71786 82399\n1227 42369\n27455 85578\n305 90785\n4589 8306\n61030 67284\n39891 78971\n17785 81711\n12044 96946\n10453 17744\n3456 53067\n50880 90601\n62430 75580\n65142 95496\n34327 49033\n50616 75845\n75084 88355\n50315 67072\n73443 95763\n48002 48563\n13779 60273\n63790 99493\n55258 86344\n57 65511\n13155 16437\n18766 64944\n6009 57829\n72914 94144\n39260 47101\n16620 83237\n26073 53346\n11826 35245\n9107 27807\n38783 73625\n10841 49164\n67101 85988\n7384 35010\n9842 34659\n15659 86498\n6435 64755\n35616 38465\n7230 57381\n50376 61117\n8700 85909\n42198 78029\n22022 65117\n11791 33408\n31432 88418\n29898 60587\n6089 85334\n39680 58869\n34011 71574\n76395 89726\n32064 41099\n19123 82435\n42423 85776\n4690 85159\n41691 73759\n688 75801\n58329 70431\n50201 74702\n57440 69879\n63041 79932\n42722 95643\n71425 87887\n57863 79980\n62994 75214\n8840 23980\n8888 90723\n14960 79347\n32320 46752\n81407 95728\n1272 2758\n42266 45740\n18063 80868\n83829 90012\n31655 47212\n3241 3565\n49593 73089\n37812 50545\n44625 81905\n29812 91414\n17471 69381\n51247 60122\n63669 65370\n8270 96045\n19631 83821\n72576 90234\n18233 44982\n2563 24410\n43497 78010\n43215 88106\n18975 81977\n9335 48021\n20394 41212\n50519 69602\n19944 52251\n25534 52111\n13268 83589\n19219 50257\n17679 40859\n41086 84980\n11187 32600\n9615 79970\n44323 89234\n4275 21174\n54871 64138\n52179 71353\n53466 58772\n42242 69471\n18110 91443\n18754 55245\n22692 43052\n30603 71010\n50593 67706\n41376 85515\n34976 41960\n28084 90292\n35296 68645\n18148 27029\n33707 94313\n69489 86365\n32290 66634\n32334 35581\n33719 99345\n48126 60997\n29011 78798\n30671 37823\n67337 74459\n3229 42901\n28787 40676\n31566 96471\n47144 66638\n3298 10198\n4319 94198\n38869 92317\n17347 62862\n73976 81713\n59506 83803\n20638 96396\n8331 67499\n15918 51483\n24664 48796\n12570 48015\n20727 84386\n13343 67972\n36753 71864\n72323 88800\n14941 71349\n17122 59298\n13873 26456\n14526 44662\n79762 90006\n5794 58807\n37780 88414\n10892 79807\n45008 88819\n75539 83526\n24033 68892\n9142 92653\n42091 73573\n13189 33754\n52328 56259\n2382 81032\n51921 74194\n44588 52083\n25607 52627\n68165 87920\n85977 92977\n40516 74904\n45325 60530\n86976 90956\n44079 86129\n58943 98761\n16731 61192\n32415 40450\n16147 82274\n43922 65961\n6776 90691\n2550 15117\n25749 65627\n19419 93591\n83532 99225\n7363 15116\n76669 78166\n36260 56871\n73930 81795\n6921 74134\n68948 78243\n45453 77088\n21248 38283\n23156 81532\n76803 99104\n17716 55914\n6448 34802\n67083 98438\n13611 99738\n13225 30947\n36727 45888\n36973 75977\n54287 69165\n30086 99310\n19335 87829\n14646 28898\n82347 85758\n71851 93434\n38007 70361\n58703 83567\n19191 59636\n64571 72048\n51815 73531\n16220 64370\n23766 29645\n32524 73373\n38974 89901\n21697 29034\n9019 91205\n18757 88467\n62376 93275\n46790 59783\n4538 8024\n5232 35698\n3084 95625\n26990 27755\n12810 88993\n2064 76853\n62422 89540\n22419 46994\n31862 90122\n3054 50388\n14985 39211\n47610 65312\n33517 93909\n17742 88564\n700 5656\n59668 85411\n18446 21424\n44801 68079\n38560 68877\n42275 63740\n27609 55492\n4861 8078\n6983 62290\n3421 51223\n2213 25391\n7931 50062\n37011 38832\n63477 72083\n75651 79376\n53106 81550\n66026 97074\n14144 85607\n65482 71520\n9357 36118\n62203 75216\n77872 94316\n16815 91734\n56927 80928\n83097 98688\n69741 85780\n28757 95002\n53173 98168\n24762 61896\n66993 98693\n12480 19789\n6808 68451\n10696 64064\n19423 79505\n42955 46715\n69820 99224\n18718 87812\n8351 22863\n81110 87963\n62629 84468\n41824 53529\n36361 36894\n40178 67576\n52792 91355\n2411 86899\n14574 16320\n61803 91885\n4666 53391\n43709 60610\n29947 53454\n13894 88362\n43364 98141\n33564 70272\n38034 42441\n60250 65610\n40056 42217\n21397 91275\n25962 28076\n87475 90697\n31342 96689\n70090 70586\n7992 96504\n2209 89544\n26329 60421\n1050 80197\n30694 64988\n25588 99354\n40222 79597\n39144 51001\n65284 87794\n9925 22213\n77063 85994\n21341 40446\n34019 75344\n37262 89124\n6373 31779\n35122 61526\n25017 90276\n15445 90740\n75787 96441\n44488 80361\n11587 93664\n32871 41559\n3593 9402\n3686 4867\n38849 46900\n5500 20119\n36662 63488\n38095 67445\n36893 88532\n11138 74697\n24440 66358\n35447 45456\n7566 53091\n24767 29487\n17679 48755\n22004 56709\n422 67610\n576 85827\n37017 53398\n3920 28824\n37399 49722\n2040 90050\n79891 93019\n66307 88036\n8935 81062\n62488 82299\n11885 87484\n52605 67751\n6676 96531\n66532 80846\n32891 40159\n9507 47821\n36227 77536\n45783 74207\n2015 39968\n10396 85212\n8734 86739\n7067 37017\n49841 80077\n35189 94021\n33127 36496\n42687 84572\n41600 97707\n747 21824\n55111 91738\n71623 73698\n46683 93088\n26206 73697\n3278 70794\n69468 74760\n51928 84106\n142 67216\n8369 37960\n25736 72721\n15442 21643\n28313 44244\n48161 88629\n44998 73636\n27647 60687\n52027 86318\n74412 98726\n6395 22050\n22887 38249\n21441 41554\n58152 81134\n4658 43927\n46400 55539\n25934 50676\n3711 45414\n14943 92888\n91953 93848\n33242 58386\n55246 70905\n28802 70068\n11896 49481\n15594 73328\n2321 35134\n29178 74057\n43446 82028\n15355 35514\n42828 96557\n21108 96646\n29617 40279\n3354 13880\n13829 19930\n75818 78643\n13112 33921\n8216 66384\n36350 62459\n14346 45304\n35798 98806\n31064 75727\n64976 88579\n53389 67691\n84798 96697\n88086 98762\n17134 67094\n25013 41017\n29806 35400\n8416 27432\n52222 87769\n71721 88528\n22596 95763\n32974 89554\n8627 45618\n6137 94726\n73348 74010\n32403 59521\n91798 98070\n18810 91622\n64398 95300\n14530 25704\n51182 83408\n50999 88568\n12855 96207\n50476 70201\n69612 71711\n40450 86039\n675 46790\n13602 52822\n25592 45266\n11606 46561\n65951 96056\n10062 71671\n62386 83044\n72858 93206\n72146 85337\n60004 99055\n5402 67714\n57071 77393\n25780 48322\n21017 90699\n18178 96575\n58634 85977\n66023 93397\n17110 96130\n34909 65801\n40625 47069\n48567 91832\n63240 79045\n28545 81921\n19259 76034\n6974 53261\n14242 45790\n71361 93370\n45051 65214\n37864 70859\n11929 62994\n23423 64571\n27867 40365\n32415 67891\n17398 96059\n26650 42203\n32269 70173\n39627 50807\n58455 71250\n6155 31457\n36710 56093\n48604 66426\n70421 74091\n47706 87863\n22574 74662\n19250 84883\n10856 37547\n10386 32783\n8054 53292\n8763 89207\n16692 77841\n41595 81547\n61796 69724\n52701 86595\n11603 81673\n33844 48781\n15556 21872\n39203 83042\n53323 95753\n718 73599\n10707 15562\n35071 56914\n55502 57573\n37074 63615\n16636 71238\n5568 20581\n24175 62332\n3241 26976\n4817 38367\n17983 30634\n14173 78611\n11181 52491\n64571 96537\n85507 87216\n15746 36986\n65973 76997\n60339 88008\n63259 82626\n1327 86823\n13935 98451\n38493 48521\n9479 14055\n12691 82241\n31312 80369\n1502 67456\n16076 17117\n27979 63581\n59639 80934\n8370 65214\n1416 90572\n54030 81191\n58911 96274\n47048 69489\n53564 57518\n49941 71254\n37241 96027\n16725 75980\n56657 93867\n3947 57382\n24494 64890\n28797 91133\n58043 72213\n7807 54174\n96033 97499\n2667 68818\n37797 53162\n42998 82436\n13740 83866\n23241 62212\n12422 94776\n5618 47807\n33120 91949\n36056 97475\n24248 65701\n75890 90994\n7121 79502\n68668 76932\n20844 83787\n42364 85895\n91466 92092\n51238 83251\n27304 65072\n4344 45610\n46921 68149\n34185 71838\n2447 64498\n3995 73721\n29816 81104\n69864 95828\n24498 46100\n57056 98139\n22463 81286\n20821 64398\n14357 38892\n20562 66664\n52277 62089\n6007 89946\n59026 78791\n3672 30332\n52449 75821\n36045 47159\n19408 99616\n23119 64764\n61103 67532\n53696 96851\n3060 64652\n71949 81040\n3706 98435\n8645 86509\n20125 69192\n13760 65153\n79105 82823\n14906 59304\n46602 51093\n23131 27712\n75074 80358\n8635 18308\n35358 39428\n36948 47513\n58193 80638\n88198 95507\n37485 76411\n14859 90461\n66385 75882\n36972 95579\n17922 63611\n70021 82806\n47014 69354\n41584 52287\n24980 42166\n58539 99656\n31872 34905\n46962 78239\n46769 73955\n36858 44161\n58686 63010\n31383 93798\n18498 55178\n20559 99407\n72646 97765\n9359 97413\n682 45523\n34265 65748\n29043 30511\n47958 61228\n45306 86564\n17151 37113\n67066 71031\n38744 42693\n78095 80812\n32142 83063\n65770 98000\n38950 62268\n58876 90854\n3932 89027\n266 75190\n3261 12238\n44773 52749\n57898 63080\n72721 91143\n31232 56992\n57175 57628\n52628 93759\n49185 49767\n4452 41191\n62429 86442\n32154 42707\n22481 26263\n16486 43986\n3461 16050\n28009 69549\n10611 42943\n59182 82813\n55936 92554\n2479 33144\n469 16335\n11607 37045\n16098 84425\n85299 96507\n77554 98150\n21354 65048\n4523 88868\n53706 78007\n57723 59676\n5347 48714\n46292 87474\n4998 79411\n21369 97673\n5821 49546\n998 83521\n43401 81811\n13875 71843\n42105 94188\n14402 87333\n11808 79576\n4633 8094\n1932 41274\n13612 73378\n18363 39957\n26176 77814\n31745 86937\n46225 66078\n661 83303\n36018 57976\n40012 65738\n23582 68326\n75758 92425\n77623 96526\n5487 38688\n45177 82599\n89433 99185\n43042 72338\n89655 89965\n35850 93341\n1753 85244\n18612 32450\n48082 75060\n47696 88895\n70004 93780\n11608 39376\n6657 41626\n14103 23066\n59705 89670\n62042 95246\n30900 42041\n68211 70676\n21939 64248\n77876 82939\n6276 38554\n70462 84455\n22485 78479\n25989 84187\n29505 93113\n51649 54273\n3 4771\n58222 90782\n32396 46973\n8735 10032\n740 58197\n7596 54660\n53970 60416\n25976 55150\n9129 68099\n23763 41182\n3134 48378\n32403 43589\n35482 78285\n43935 97655\n80967 98188\n15936 62693\n12092 72286\n26385 60824\n4359 49655\n21627 93609\n38353 58582\n34573 43933\n59720 73298\n43540 72782\n27160 53830\n11320 32325\n27057 90260\n17728 90686\n65062 98881\n25343 86814\n32409 98761\n18531 24284\n10693 23297\n41969 61564\n69024 86778\n7218 79462\n7173 48975\n14369 87652\n69765 73296\n20998 32729\n43160 89582\n10294 47280\n15156 30431\n75849 77836\n807 69437\n31868 92877\n19606 95794\n10748 42748\n20088 59532\n103 88593\n79390 88293\n34 678\n86317 89224\n36550 52516\n73604 80962\n45329 93327\n45354 94331\n10991 84512\n27428 66922\n40497 98024\n12478 62318\n15292 99573\n37224 67281\n55978 64001\n27113 49916\n19543 41526\n85237 93920\n58530 68540\n3616 79189\n44886 75968\n51974 78318\n84264 94613\n66529 94972\n2917 76943\n1326 60105\n71809 86934\n77716 90005\n67020 94121\n29819 68465\n42390 82186\n16818 85507\n42671 53199\n5175 9593\n39580 87415\n69183 79941\n18926 83058\n9785 91825\n15269 87122\n69306 73459\n48929 78679\n17863 35069\n6005 14431\n18945 24513\n8054 10521\n32699 85347\n50089 58331\n63546 64027\n49329 94825\n93632 96043\n86101 93946\n42783 88870\n18793 72425\n45402 57154\n3687 95388\n11997 72771\n2872 92399\n50594 95806\n9013 34783\n23325 75397\n65401 81121\n1708 33696\n18429 51630\n56555 94976\n21654 68912\n13864 84431\n30944 62896\n40039 72786\n13683 32458\n39466 51306\n13683 59153\n33503 51427\n41830 45675\n69711 90713\n28554 96851\n2644 16027\n4334 40540\n41423 51631\n13982 95515\n44657 99522\n19943 30009\n41492 86369\n35486 46731\n19314 91526\n88568 91511\n58126 67367\n22821 69157\n16668 43803\n17868 45605\n39371 78232\n60934 73416\n35081 77713\n23423 95146\n57095 57799\n80353 99715\n12065 59376\n29663 63231\n55905 82990\n44079 68961\n35205 70978\n36015 42247\n87308 94820\n68200 78857\n15646 42995\n43038 52180\n34601 53611\n13825 42143\n9421 32743\n63882 83306\n24559 32547\n69619 93113\n59075 98975\n55082 89206\n34445 45499\n60957 89707\n58230 74817\n9542 64704\n70741 71770\n5118 24371\n729 78554\n11814 23498\n25420 36811\n11349 72059\n8804 52284\n13249 94628\n30067 33774\n7911 29782\n57881 95099\n7166 88331\n1361 18412\n71483 90691\n798 79735\n19532 91528\n26787 68762\n13847 34086\n27098 59553\n42435 66203\n72375 84786\n7329 50514\n40261 53089\n18721 83513\n30203 75468\n565 2030\n15084 65107\n65799 73420\n25371 45194\n49882 63358\n22697 38418\n51316 59769\n22392 97287\n54566 90937\n6266 83054\n82224 89583\n15447 44359\n11661 56453\n5447 99882\n50135 73160\n7125 40333\n30056 83147\n4410 63307\n21795 88420\n12946 85127\n746 9486\n33774 62246\n32299 56721\n69911 76286\n12039 69653\n77651 85126\n27711 64123\n27176 39294\n67218 86931\n22495 33855\n23971 25921\n89755 96711\n22557 53286\n26191 94223\n7176 31415\n35501 83723\n14144 77028\n49385 98805\n2282 54828\n45021 56752\n27935 82453\n25732 95912\n21953 79756\n3935 28211\n78766 88434\n3066 99002\n25427 29318\n54333 56384\n17758 48700\n1723 12904\n4866 26774\n26120 63087\n23574 90353\n30698 88731\n10128 99914\n38226 66444\n11863 92017\n58424 91216\n91232 97718\n58450 72724\n58400 73186\n32821 33502\n1881 39025\n304 27961\n13807 94059\n1445 64396\n9144 75820\n8983 9140\n6520 11579\n43075 49609\n63390 98127\n50792 93317\n5993 84593\n21595 77671\n36406 48584\n16101 83295\n10041 73797\n32569 68112\n4058 94009\n5364 44290\n1814 6030\n57792 78816\n25329 72258\n28682 67212\n7219 27071\n11173 98835\n9612 65971\n16074 53460\n20765 98009\n23991 74430\n77679 86325\n54788 64116\n11970 24171\n71102 73659\n71128 73582\n86493 98791\n92762 99864\n12165 66303\n22302 99239\n25649 32975\n24661 73294\n62474 92709\n42411 87903\n6533 91928\n8199 39921\n63070 85137\n27157 36581\n13594 38787\n1002 31077\n9786 33265\n20588 83995\n70909 89494\n60470 88732\n79478 90039\n42092 67840\n23716 40262\n15133 30807\n27871 73479\n59991 62023\n50078 56615\n26497 75788\n14135 42395\n54747 93125\n1917 56426\n33413 67681\n63711 71839\n87694 97507\n1665 21417\n37131 59568\n11757 54576\n42992 96805\n8985 73111\n609 25104\n10853 71133\n33065 70384\n15727 54128\n23069 30896\n84472 96485\n30830 55228\n34534 49912\n8547 68928\n44453 62830\n50097 55091\n15691 43950\n23330 29268\n65034 85042\n25918 80994\n41142 73897\n19689 88753\n6002 52870\n37077 68142\n83173 90887\n45990 62007\n14077 16585\n39376 73181\n2264 29657\n22709 58932\n25309 38775\n20750 32277\n33334 39614\n995 62173\n15602 65599\n30230 32711\n3453 19192\n12718 52082\n41389 99416\n81685 84573\n16277 50552\n20537 45941\n34816 44198\n21825 24412\n41366 56868\n18263 62062\n83217 89918\n7481 18283\n22280 39246\n2927 77960\n84563 86651\n1620 73034\n46619 59407\n14181 92030\n35321 88162\n25892 48056\n11356 21388\n33378 51090\n21658 78322\n29708 57091\n18832 85089\n4842 53186\n21826 29707\n14801 76129\n20983 41745\n2588 61966\n62008 75827\n17489 20023\n28268 70211\n15379 29337\n16242 77750\n38227 72102\n805 82549\n35849 41131\n68348 77836\n44711 97191\n52771 85292\n1852 78225\n28517 39788\n1937 71521\n50665 51636\n44185 53394\n19495 88467\n4666 88184\n7781 63918\n17048 61355\n24886 55408\n29425 90180\n4722 96558\n27640 76160\n6150 66326\n6301 56186\n46991 58441\n77958 83297\n1311 37745\n51811 93364\n37129 51698\n30869 89408\n73711 93828\n40269 79510\n43095 81910\n53556 56323\n27219 69727\n23579 34577\n79192 79644\n42936 64775\n11029 54706\n14025 16311\n31436 75766\n15271 80184\n3096 54181\n1578 6753\n11093 67114\n70603 74890\n10698 65272\n24900 33889\n20313 36870\n16408 92113\n44403 84787\n37353 82754\n33162 53714\n2838 19698\n2555 49790\n23268 42123\n55851 72221\n49186 95847\n38951 58550\n4311 29431\n63391 70232\n2532 88312\n74153 89640\n74145 82346\n10424 56271\n12682 38348\n13321 46739\n14460 42098\n26532 30141\n28980 40308\n21338 68616\n25123 82364\n11737 74181\n18939 74093\n61926 93803\n14221 49414\n34204 37291\n54717 67838\n12076 74006\n71936 80526\n81162 83017\n3557 70734\n31162 48439\n19729 65302\n15436 82111\n48917 96610\n72145 80594\n89251 99863\n44568 71158\n15742 89871\n45084 92797\n57616 82513\n35032 85612\n15502 51871\n2042 35521\n4389 26966\n5703 29408\n1473 60262\n13195 39429\n47780 75984\n22749 26945\n63913 66354\n53246 64571\n10404 49938\n7764 86742\n7103 74697\n9016 33619\n31540 95673\n15827 16743\n48394 93565\n25668 88979\n15664 61306\n15326 91155\n46059 53143\n18027 33366\n27208 41573\n15030 45095\n6050 60668\n25546 80802\n56224 86818\n61717 81772\n24447 90807\n27385 90875\n11237 91347\n55899 84877\n16596 40718\n60652 68545\n8132 77336\n64209 83023\n4097 17299\n26831 58562\n60963 67806\n23145 74646\n6917 46678\n6322 78123\n38659 65433\n52538 67320\n3230 66076\n61093 69060\n14124 96052\n54009 98735\n26019 75627\n16793 43632\n6871 43926\n40058 48793\n37151 42006\n33037 98996\n19771 47052\n8673 96291\n27315 97479\n42607 74645\n36709 87384\n52303 72915\n45988 81763\n33069 47705\n42488 74271\n49976 51543\n68314 71600\n11641 35155\n46265 49378\n58450 64319\n57372 66189\n86988 92549\n71581 87885\n53766 58975\n25091 46611\n14349 47196\n8375 77744\n42150 78577\n38201 48968\n2669 59004\n60101 77020\n20326 33486\n4616 50985\n18560 30582\n13573 13917\n43237 65961\n60891 98088\n56560 65043\n48722 57769\n45911 57495\n6287 56566\n19725 63006\n25440 47109\n22297 38258\n42265 77455\n14354 46982\n40643 49022\n26808 49569\n38933 53789\n39034 56388\n69437 84573\n24003 39189\n60347 83786\n15 20202\n3 15045\n43744 98077\n17400 34535\n37551 47535\n22434 81697\n19826 86959\n24201 67291\n5141 12076\n27924 74481\n24415 87274\n10037 14249\n80647 93667\n33171 38563\n12441 58878\n61918 92800\n44302 70288\n6813 70884\n27600 97651\n76887 78978\n21929 63420\n6997 56426\n263 53872\n659 50986\n47346 84115\n21801 63253\n3393 7152\n11353 92772\n37232 76390\n1749 11166\n68821 90850\n24440 90720\n50981 54452\n3955 77180\n60657 71124\n22000 31582\n31349 35729\n62409 85438\n5864 72735\n40068 82332\n62787 71106\n33819 66779\n30020 30653\n56460 57909\n6307 12078\n47823 49350\n5258 45273\n81155 93342\n80835 93727\n53854 58840\n61258 85853\n75244 77106\n53918 78202\n47593 57912\n69334 76908\n29430 74390\n39175 94010\n50987 52969\n41544 47717\n29937 85635\n42350 71887\n6522 80382\n14733 89494\n5038 72231\n73911 83774\n36798 42085\n39733 72213\n24803 58653\n4514 48306\n46658 55841\n67995 78151\n11915 12208\n31090 66641\n6241 35225\n843 43564\n23780 78901\n29718 97081\n55379 89039\n86989 94958\n12004 22987\n1411 67124\n55440 74385\n37939 70444\n7915 54875\n45524 76321\n45197 65685\n53019 58976\n90143 92468\n82425 88459\n8666 79507\n6586 60453\n43704 69243\n46560 49294\n78752 99630\n17787 65341\n46230 94664\n38988 41067\n49864 80041\n28716 46221\n8981 10126\n32162 46812\n38042 80593\n48382 67228\n13008 57490\n2775 67106\n64522 84941\n47292 64057\n28403 30667\n43964 73246\n55950 59978\n35870 75710\n21366 58979\n49881 96598\n71431 84119\n29772 53457\n1450 58329\n1849 96122\n89892 98402\n41147 55894\n23329 84774\n9994 84172\n55077 85282\n4012 46781\n55146 93572\n61032 75057\n86228 96564\n56954 98073\n56888 75411\n17974 81246\n1019 54869\n7167 50451\n12485 58930\n13161 35227\n39816 41106\n20114 44841\n43791 55558\n14973 94536\n3751 4882\n29261 64840\n60240 96162\n8496 27544\n4894 69776\n53574 79655\n92317 92479\n60035 78929\n3544 33652\n38002 51258\n34344 84524\n73540 94670\n689 52734\n28702 68859\n34033 87844\n39529 60797\n42740 44643\n7167 76489\n43764 59684\n30011 97744\n74745 92877\n20461 41305\n28400 93266\n11239 20342\n16100 84249\n21644 52530\n4155 60389\n27873 84917\n4281 19811\n32145 92090\n19712 67188\n2957 57963\n84049 93222\n971 55021\n55820 98413\n25381 99753\n31535 87474\n8973 15687\n20238 46413\n85636 89024\n23655 67253\n41370 71697\n8532 49344\n2419 24479\n65620 70321\n48640 48872\n9760 35306\n74979 95099\n51580 52897\n36155 44911\n36277 92094\n9634 38798\n45690 58445\n83202 95863\n9562 26141\n13418 56688\n63514 98091\n70583 98410\n32756 63411\n51434 53110\n47290 83505\n50484 68831\n26935 43652\n15083 47534\n10638 20237\n47152 66486\n54380 99374\n63357 87334\n24280 89033\n15208 80762\n22593 91402\n11818 60415\n66689 89663\n15218 20429\n48431 83618\n53967 90980\n10360 19680\n75351 86200\n33126 42787\n3105 27502\n50094 59353\n87572 96727\n34513 35249\n15595 44066\n40716 96518\n1281 69632\n37010 86032\n49133 50154\n61058 82797\n44078 75940\n843 51641\n54036 79299\n21894 78225\n17105 78272\n6438 35880\n73543 85045\n30706 83284\n12964 67741\n14361 79908\n16097 87263\n37940 64317\n1147 39460\n513 8955\n51357 59342\n79135 81319\n12688 87865\n38852 40872\n74542 92623\n69628 75098\n24552 43369\n45988 74059\n30619 54303\n4989 71067\n14385 62338\n1837 4674\n12700 68495\n37361 98466\n20137 26896\n1557 61596\n14016 25591\n54079 94853\n9798 62560\n19931 58079\n14098 17921\n2423 92947\n7770 26202\n21271 40958\n41085 42288\n54216 57494\n7053 41515\n88613 89112\n30912 53428\n40264 56736\n49147 94719\n21147 92976\n11356 80937\n50236 52073\n35966 69609\n87116 88083\n80908 93831\n16586 65293\n33068 42803\n1323 47196\n62866 81772\n48873 79361\n2718 83768\n36965 70123\n14873 17166\n32211 44249\n30164 58755\n46372 98559\n4175 9219\n25959 66475\n11431 97942\n37704 73806\n65193 98399\n35903 37406\n2370 24680\n18223 73230\n84589 90732\n10177 65431\n4084 33050\n15602 72034\n36612 80181\n70950 84201\n38968 84048\n19988 66980\n42516 76363\n44057 59522\n79491 92563\n40456 42420\n25223 30069\n39156 58890\n9063 17758\n4962 41554\n44627 45832\n5683 83621\n21813 77057\n4790 12277\n12007 43821\n6791 13411\n57893 95695\n45792 63901\n62521 83831\n36076 89220\n67178 76883\n38068 84976\n31433 63620\n938 29424\n37427 68566\n20490 98683\n52909 58996\n17818 91435\n15949 81272\n50381 90284\n30223 53193\n39864 57924\n75313 80536\n70770 80859\n52755 57940\n10244 86882\n48095 72468\n26372 69984\n49918 50341\n27742 44998\n14562 79934\n67188 68688\n21386 47608\n75647 75812\n33545 49585\n58983 68659\n21003 71463\n70588 99598\n60255 77240\n40679 56292\n19886 56769\n67169 96761\n53025 82960\n54690 86240\n19923 24362\n82124 85883\n9389 92091\n19469 60951\n60316 64351\n25136 73969\n9467 44503\n75406 96123\n3259 86153\n22508 77711\n6894 55691\n48824 95901\n41990 42483\n80676 93000\n57642 97245\n13772 25746\n28017 28111\n61966 78112\n13251 70840\n8129 40730\n25965 37659\n30254 60738\n77392 95768\n28198 30816\n19387 24178\n42771 60538\n22696 42711\n28944 71147\n62732 83641\n34403 38096\n62936 95825\n24197 91641\n56629 73110\n6068 51685\n43372 47490\n59804 72139\n41075 83599\n55024 76413\n30956 70373\n33346 35441\n47163 58793\n37842 44781\n52250 55848\n50601 86628\n23768 49540\n13881 71717\n33725 36405\n78164 93345\n54394 79178\n4147 89308\n69198 70108\n2987 45632\n8605 95512\n70508 93447\n50561 54772\n1397 99386\n68255 87371\n16863 22335\n1130 9400\n36240 66282\n66988 82195\n27115 57347\n44562 65848\n20524 85068\n93110 96014\n80594 83464\n1961 5923\n22426 62801\n6809 38017\n40412 49729\n3177 28014\n19710 66987\n52569 78416\n12617 40021\n20030 32981\n64436 91897\n20677 27810\n85331 97716\n1722 43815\n27372 97265\n50070 66905\n13473 41772\n19447 79233\n53411 92051\n43958 68805\n40696 46971\n51014 61623\n63430 87217\n85582 92749\n3151 23365\n20976 68848\n5330 5623\n45953 89336\n79031 94559\n11513 55473\n23301 65688\n61737 63085\n24732 46198\n69489 89422\n31567 64874\n74577 78451\n21050 35856\n31543 50291\n70167 81538\n45962 72068\n37257 58792\n139 85823\n18448 89920\n72841 94404\n1766 49176\n32434 38740\n14451 45812\n31539 93239\n21664 60478\n41780 42272\n59553 67511\n61327 69040\n24016 59710\n55534 99561\n25809 69236\n68039 96553\n60002 63329\n44173 96767\n31366 76323\n61171 96493\n1754 58940\n33376 66608\n34964 48806\n37974 89101\n13956 95777\n1095 56201\n8715 50339\n37857 64252\n31298 58226\n16240 80229\n56021 85665\n3218 20381\n42850 88868\n30730 60358\n18049 57120\n53629 84001\n31211 65098\n28237 56430\n11521 37704\n14732 64220\n21640 40045\n23044 82630\n32636 71835\n74694 87619\n8160 82249\n62963 76038\n12690 99639\n12021 98514\n16456 59960\n49349 75635\n63822 67073\n43962 71462\n54486 54775\n58675 68095\n32001 98068\n80069 82461\n12526 32341\n7085 69670\n27072 82209\n87599 90266\n38207 75379\n35329 55579\n65986 93338\n66866 94340\n32998 92625\n67760 90165\n3601 10155\n15756 56784\n8155 36749\n38612 84683\n39204 84695\n7195 56050\n57722 74312\n37841 42934\n51940 67169\n55468 94819\n68248 83161\n12967 93066\n35415 94805\n43079 59426\n10800 44480\n59037 62727\n24299 57273\n18299 43519\n65191 85378\n65941 83549\n26581 66158\n26450 99172\n57802 85419\n44297 69814\n46832 61319\n3996 93834\n16924 93210\n23185 78953\n25877 50623\n40713 62490\n10152 27829\n14014 38362\n27794 45548\n12773 81781\n32471 45451\n339 37127\n41757 70635\n10171 12637\n4035 65603\n51006 61665\n2188 78000\n58040 97216\n30709 96719\n59867 71492\n50840 76073\n17126 49920\n19700 59290\n22656 59009\n8972 45964\n10185 26643\n28161 63923\n12418 50662\n13748 64427\n10424 74164\n17289 45312\n16345 34505\n20248 80227\n1338 43501\n54965 81161\n37283 39299\n33560 38481\n51033 56715\n36665 47766\n1748 36682\n111 73732\n53750 82836\n15126 69957\n10440 32232\n26384 97552\n47917 64088\n20288 52420\n22481 93643\n51707 69461\n40961 89040\n32174 45102\n52978 67565\n55787 95564\n72722 97902\n27422 60354\n17916 80448\n27738 78061\n34414 40392\n5834 42584\n71459 76714\n1824 27993\n20345 70698\n30250 91993\n21880 30920\n74039 76339\n1175 84164\n11035 13044\n47328 57247\n45824 65905\n9981 99272\n3364 63985\n51285 57272\n41551 72143\n34586 87042\n18784 20292\n41759 92824\n45978 74337\n26934 50334\n41843 85702\n81541 82166\n10671 54162\n12176 94953\n1263 44553\n40593 92376\n6795 8388\n67590 82145\n9388 25138\n23069 86831\n6539 58531\n24194 57083\n59815 67079\n14916 31566\n8740 54697\n43385 49579\n18727 58681\n41512 45502\n4371 82401\n78862 91713\n86239 88406\n47569 71249\n70929 76476\n28709 66363\n76183 94566\n70095 72899\n86130 88983\n2130 65010\n8680 55371\n65016 66142\n31248 45137\n46647 73045\n56683 68470\n72280 80921\n19876 26562\n49676 52797\n42642 84360\n52686 77992\n45314 96451\n10957 39862\n75700 76721\n63351 90802\n65568 84586\n7299 46832\n17210 89383\n49768 50496\n41453 83231\n27252 99272\n28219 40082\n56201 89762\n15680 22960\n20099 89558\n26131 91848\n37980 59972\n43416 56701\n8507 62798\n36677 86928\n20341 41548\n49591 55135\n60768 92835\n26040 92800\n55159 85017\n4878 56877\n27553 93250\n22400 28990\n14957 58416\n3682 39194\n10970 93017\n39947 47184\n755 75894\n70642 79854\n2601 42308\n72353 74128\n17940 62022\n52406 79310\n37699 75613\n19081 88745\n67579 73740\n5579 28928\n22696 24345\n39849 49440\n25350 89110\n77810 89969\n20318 98672\n14666 63269\n27187 55254\n31774 66854\n1744 2882\n66638 88019\n24002 94489\n68171 89884\n8930 30721\n74982 95594\n86014 88336\n22896 56913\n32857 94762\n9695 50617\n18105 72635\n63626 73085\n52428 68323\n57929 87493\n77517 82247\n14982 72364\n17110 52805\n40015 84551\n33465 83308\n39580 43232\n14770 61896\n21545 38287\n67070 99960\n4261 19011\n35036 90637\n57910 80175\n36972 62220\n46289 54478\n36394 52642\n18403 38714\n53942 57215\n11668 65801\n61949 83186\n13418 33379\n51981 78708\n67372 76010\n44988 76049\n35165 79927\n41114 74269\n33957 64069\n50144 91186\n13272 48217\n21147 48394\n1568 53696\n11858 49161\n6727 26203\n72804 93618\n3267 62598\n52471 76322\n3723 80264\n33358 93047\n83013 99750\n35136 86692\n39159 88644\n62330 79108\n45232 78925\n34836 38450\n40910 50183\n80306 81676\n7974 75014\n7141 24153\n68841 69327\n54248 57691\n26412 31032\n6073 62140\n57842 67868\n65630 89336\n1695 98515\n84341 87303\n10402 35223\n21175 21946\n5088 51045\n61301 98209\n16271 61026\n33975 62947\n2841 40093\n7080 73862\n71324 88544\n48916 79496\n22198 23597\n22507 28905\n27701 49339\n21392 74804\n18510 57940\n162 90632\n4209 64438\n4964 55701\n8176 87233\n9211 92054\n41692 51655\n10577 98722\n11395 50727\n10416 80650\n10669 39603\n22421 84886\n16081 27377\n69057 74526\n87933 89552\n18360 91919\n68690 85341\n30206 37937\n21541 44477\n33130 44772\n14811 28626\n57237 99354\n8830 84388\n20130 46697\n42311 72472\n36790 93827\n32610 33189\n61242 99710\n85644 90052\n36572 37236\n24962 34658\n260 58836\n9494 92160\n2772 72203\n22257 91983\n56751 58131\n14280 75220\n48015 80625\n36220 54676\n20395 60996\n55050 58731\n1783 18414\n11347 35769\n18049 93846\n41530 60437\n24450 62509\n46845 51783\n69946 80391\n8761 10237\n15317 30194\n28234 97164\n9106 21239\n37920 73780\n33325 97828\n23357 59089\n89179 98284\n33744 40997\n72817 75033\n89215 94355\n16803 62430\n34230 85784\n47444 77877\n33806 37354\n54639 76299\n59547 79138\n2319 26056\n31211 52821\n52360 66225\n9777 47444\n4735 47856\n52036 92417\n58773 66110\n6145 64146\n33185 69642\n5188 20380\n125 98542\n78631 83289\n25669 52381\n16052 49185\n23866 38392\n50703 62617\n15586 17015\n58068 94684\n22420 98925\n83117 99944\n43762 61955\n4560 63015\n13736 21797\n59520 97694\n37945 71823\n92578 97545\n27278 44094\n7690 34025\n1027 25385\n4047 77196\n8170 77837\n55772 79669\n20244 62906\n49191 55059\n9315 42120\n75535 98854\n45656 84001\n64270 84473\n65409 75879\n58033 90046\n19227 95381\n13087 62075\n11139 88841\n17735 17864\n28121 29103\n43063 54558\n16932 74427\n32241 88151\n11802 86601\n57101 82515\n5307 59538\n642 16511\n54787 73071\n39740 78045\n33280 35084\n84241 92406\n26932 53575\n15155 54529\n19182 84114\n56024 65525\n69833 93910\n69047 93486\n17826 92047\n31837 89962\n9283 9300\n40157 41676\n3675 61528\n2766 80164\n77945 95141\n16217 91996\n81914 99823\n31183 73951\n36222 46217\n57915 85093\n15760 84151\n64423 92506\n51646 77106\n18137 70953\n11332 20358\n26348 57955\n2453 87321\n17390 89707\n30103 79720\n34693 64432\n2951 57033\n3503 83380\n12870 60938\n41649 55153\n56556 85396\n19674 35679\n7765 36189\n62121 66634\n42609 91052\n22503 33831\n19137 82635\n49474 57694\n20893 71593\n8470 48824\n14377 81644\n22481 75381\n80815 88148\n3856 97810\n69240 83220\n40666 99833\n32646 55018\n53866 81664\n7816 43226\n312 8465\n83337 86269\n8226 28736\n8247 90294\n61573 68435\n60860 62275\n32536 55477\n61391 80150\n13231 85008\n13610 42475\n14637 83478\n50931 66775\n83142 99269\n16404 29233\n20468 61933\n45316 48376\n17645 27285\n15242 79285\n6945 24701\n3988 91519\n22593 39784\n13459 38879\n15213 76298\n28074 30979\n4791 84572\n21436 92524\n1627 2942\n22178 91704\n47327 62139\n79687 83903\n5082 9324\n9196 94207\n31621 86995\n92709 95539\n5640 39296\n53729 91689\n49554 99972\n35627 82179\n20545 32418\n18664 59693\n36880 92742\n382 91115\n34963 66342\n22362 34156\n4123 65083\n38465 42698\n48712 97520\n12190 72906\n49583 59626\n9292 13478\n20000 71265\n60480 73909\n31498 76823\n17816 81367\n47929 80298\n5953 74942\n28415 96107\n528 37705\n13747 72904\n18812 41237\n464 75538\n53006 77649\n35567 61986\n62603 70069\n20132 49837\n66569 95753\n48035 85733\n3544 65032\n24255 64147\n15347 83204\n17879 59306\n4378 80011\n38902 59453\n18714 49818\n27386 48797\n3454 42750\n43385 54205\n68727 85143\n69181 99282\n5393 41421\n47287 90137\n23213 33557\n91789 97389\n23076 52558\n52430 94411\n7836 43962\n24938 29456\n63802 94466\n23789 51823\n2869 99615\n6753 78274\n60134 80310\n4293 96124\n38968 98175\n7787 94886\n67004 67452\n15806 99519\n8049 62780\n6032 74685\n30255 76004\n7327 54141\n40687 71690\n9116 17476\n7426 55291\n52823 68982\n65939 95726\n57331 76712\n12153 65936\n2174 40543\n64310 94027\n13183 95831\n11878 72514\n47668 66032\n61945 75361\n39281 69582\n18290 73409\n10065 41538\n10781 60463\n25925 88789\n168 16270\n54257 94804\n89836 99333\n18738 94169\n46425 67041\n11618 44123\n13852 49251\n90020 91498\n11149 47755\n10511 45344\n80393 91308\n25546 32429\n55571 94757\n32944 40919\n51562 70385\n35273 84756\n29261 65626\n67729 82071\n52755 85754\n2405 45676\n5338 14342\n17841 79900\n51558 95234\n33788 49167\n7023 23255\n47107 52843\n50521 85022\n9590 64386\n26993 27106\n2405 23301\n50327 52529\n45490 91526\n1009 8880\n44014 76321\n54197 80752\n25959 27221\n12537 31183\n91565 99100\n1747 99318\n5604 36183\n50265 89976\n33249 66401\n52551 63668\n7701 96283\n14583 64487\n11668 66351\n58047 80838\n25064 76083\n49493 65892\n66385 72668\n6400 52576\n20981 98837\n74652 78496\n6796 40433\n87 37972\n16331 81651\n51564 75372\n48923 65408\n11764 87988\n36934 44591\n43975 53676\n110 33597\n44432 62053\n68242 90923\n18207 18616\n88722 98881\n48231 97669\n62748 80546\n27245 79971\n17379 85310\n54983 81507\n8417 8662\n21407 71967\n15767 37832\n53623 72320\n5650 73550\n5531 12150\n26108 70544\n36772 66413\n53931 63699\n92360 96391\n53058 90899\n16409 62677\n3336 33164\n37517 47309\n62374 86456\n55139 60843\n21076 53751\n33943 98789\n13954 25018\n39306 93168\n28311 40148\n23372 73148\n39085 44682\n12140 93911\n12651 75230\n87446 93410\n30993 99278\n23607 33074\n7825 33264\n40628 60891\n20014 75368\n45128 58060\n33286 63519\n11621 28221\n43807 47744\n36317 41132\n45627 86592\n18904 24483\n54952 97271\n16631 50410\n12078 28321\n21267 26829\n28103 92249\n2761 70741\n31561 37056\n7572 97070\n44973 95050\n25161 39924\n42459 73333\n13488 53883\n57683 99314\n4391 26432\n15818 66216\n63573 71579\n24173 86856\n28018 69168\n14205 95474\n5704 46757\n41086 92912\n23652 35586\n51971 95941\n22950 82085\n12855 40780\n29875 86123\n52222 99208\n620 75240\n7308 97835\n45329 72336\n8713 19654\n90877 97615\n70197 92313\n67423 84270\n57859 62847\n49724 82341\n9562 26759\n9429 66125\n60792 65834\n13344 53169\n23980 90865\n39635 92903\n18976 35390\n20937 40709\n17702 74560\n815 73996\n38947 74309\n14411 18302\n36362 47054\n50123 53994\n4871 74459\n21042 60045\n2814 75189\n4678 74644\n72796 88594\n60832 73444\n43424 96202\n45010 88437\n54613 65413\n14021 43301\n13232 62371\n21001 94281\n37615 57450\n63393 80224\n41098 43928\n21140 88805\n55467 86985\n69853 97070\n36215 82988\n14596 86363\n37045 41732\n42598 81695\n41657 82680\n2326 69081\n24 5503\n63085 85476\n37969 40565\n22016 33973\n57576 86731\n30944 36268\n20736 79739\n24667 48229\n5116 7304\n29194 95870\n68394 70459\n21939 54345\n10172 92248\n3334 71357\n35182 77273\n25973 77059\n4935 57341\n43671 91781\n33638 54612\n8449 55439\n9194 33262\n2710 44894\n8238 80631\n45470 87128\n60551 96295\n26372 33265\n981 61951\n62836 90677\n3909 46135\n50220 85393\n32452 68249\n77293 85495\n28592 78246\n60235 90473\n39749 58954\n7996 55722\n7943 56947\n33691 76327\n58321 70470\n3888 43879\n23434 79605\n45192 54824\n35146 53404\n4333 83231\n9821 31487\n70163 88981\n28933 98109\n23726 83923\n50952 87748\n24779 86565\n8475 80108\n14750 57069\n339 53737\n8951 23573\n7824 72998\n71216 91580\n23010 65878\n14328 90244\n8922 59677\n11143 24564\n44982 62441\n38667 61132\n75094 98496\n15381 30943\n22305 66600\n47684 55931\n80003 97589\n75369 85219\n17085 29505\n16745 43608\n33206 66658\n41758 67233\n29970 97542\n34472 82273\n18730 25575\n76860 78843\n13032 73958\n29578 91741\n84196 84705\n56238 77153\n47371 51462\n45281 80190\n32100 99423\n17265 32646\n26691 67045\n26537 72517\n22543 32870\n23453 32485\n94930 96815\n36056 67807\n45507 70566\n12385 52127\n8593 11569\n57230 61324\n51937 76632\n62314 88104\n54247 72710\n15597 31037\n83743 95477\n10622 55628\n23521 98940\n23031 29307\n13954 21094\n61638 78607\n12963 17564\n9820 98586\n12300 17510\n3707 54632\n40239 89579\n5354 40760\n47841 85349\n95428 95696\n22364 26347\n3331 53099\n31628 97993\n8205 72361\n87324 91651\n13957 97411\n34118 45479\n9146 86069\n31875 80389\n50482 93474\n35509 67829\n63721 96465\n15829 34379\n62079 98617\n16362 61242\n3911 91820\n47446 84734\n31304 63519\n57088 71708\n57245 68114\n6635 83009\n37841 65227\n67474 93517\n25468 86578\n28529 56586\n7442 68033\n28979 39262\n90437 95365\n14706 22284\n62259 95950\n19209 19485\n23813 46032\n58203 98502\n14346 43738\n11220 91215\n29773 97456\n65339 98395\n3758 76157\n74407 94919\n5715 8624\n4237 48774\n1040 42791\n47077 75034\n3344 60298\n84569 92385\n8135 41063\n20522 23570\n22279 58288\n55457 55721\n11886 84413\n14890 41707\n6346 59573\n4539 95113\n17206 57762\n4441 54104\n5941 30781\n12841 42910\n3664 7112\n47387 73386\n49821 97757\n24980 27992\n26122 43609\n25999 83178\n23833 57450\n9968 82091\n8782 59484\n16961 89859\n6943 90626\n52410 94831\n33888 71068\n65129 67542\n11449 23358\n4571 9903\n24661 45356\n84365 89473\n50568 66222\n25290 33436\n5267 15578\n54716 62646\n22083 29613\n25485 94475\n24427 67155\n25326 37106\n85203 95595\n73034 98328\n54483 90702\n43457 91089\n26254 95426\n10028 83776\n27266 64234\n57587 79305\n58068 70608\n74758 80856\n86801 97335\n3435 15596\n53243 67764\n11208 92302\n9110 38266\n20636 76563\n13103 17705\n51125 91358\n77969 79926\n43487 59729\n51922 84584\n45753 71951\n31561 97404\n20571 27802\n44291 95855\n12522 45864\n67922 96440\n8634 73416\n16358 33147\n1877 77352\n30525 53703\n23303 67187\n32245 55434\n57273 80651\n28794 81509\n18532 97098\n66055 66312\n73947 75705\n46828 56918\n67428 68337\n40900 85587\n23490 89579\n2887 68999\n11566 14432\n47006 70433\n42021 95599\n19096 65259\n11102 50001\n50034 57702\n31459 91855\n8682 67012\n694 82922\n64767 65448\n56901 68642\n549 27969\n55739 91817\n33005 80230\n64526 93704\n249 87349\n5786 78262\n23249 44007\n15550 92854\n52299 74028\n3122 50508\n62708 73123\n53587 53970\n37464 41906\n28693 91665\n68138 81615\n52579 75842\n18479 45618\n19551 47947\n87583 99729\n47476 49477\n88985 90966\n63856 67100\n47004 52042\n46142 56224\n24937 65635\n22339 52124\n68189 69982\n9024 43196\n60447 62300\n12479 74580\n44243 70458\n4578 23605\n82265 86817\n2030 7648\n76904 87994\n40734 94000\n13827 71191\n10975 74846\n6290 66118\n96431 97645\n70123 94039\n16279 41326\n19860 44949\n58799 86786\n5449 83445\n7412 63837\n3588 97672\n69936 98807\n30895 97270\n45429 72554\n64484 84403\n8034 45811\n54073 74301\n44391 73466\n62103 94224\n81728 91584\n1847 48795\n44890 79378\n11822 80187\n86162 99415\n65816 78299\n70916 72329\n11534 55256\n22700 69407\n8254 50937\n18899 48808\n31665 42147\n50164 51533\n158 72916\n5335 70473\n34507 58736\n2164 76420\n19711 86146\n45281 71657\n11809 62942\n33285 84063\n12568 68958\n4553 15783\n4919 29977\n41199 42483\n5474 58815\n51030 59222\n24400 69371\n17068 92153\n37496 54177\n10028 38647\n48726 66661\n4802 16776\n9796 79295\n73712 98818\n40887 51212\n10070 61148\n43973 48820\n50784 89262\n751 44999\n70683 86991\n7276 84835\n12392 70937\n17263 37351\n25393 83791\n42085 43985\n17833 23234\n32334 95077\n92560 96764\n45817 81889\n6418 23269\n65344 73856\n37123 54532\n45213 48654\n18994 93068\n20849 41567\n13184 45685\n8322 40120\n5629 91245\n15012 39414\n35582 41011\n25287 61989\n40554 56660\n79340 86229\n2338 58548\n30503 56443\n47287 70911\n49502 50545\n52783 74629\n15222 97123\n13092 70430\n39244 47719\n18907 20342\n57162 83482\n35044 95409\n16653 62270\n83405 91799\n75824 84276\n17759 35959\n3238 46694\n53290 65826\n7446 21800\n33404 59668\n25849 52773\n49191 53829\n16740 88199\n57292 74909\n47512 89785\n83239 83739\n43765 53398\n56278 73528\n63762 69628\n63556 87381\n58115 61700\n43068 91350\n13756 35246\n16472 47090\n38056 64120\n57043 96371\n10713 28150\n24057 89395\n20310 80561\n24682 88088\n51950 75447\n49892 96224\n4732 24079\n38201 71831\n16853 37523\n49414 89316\n82642 82939\n38829 81583\n74455 93436\n13998 49308\n25212 29187\n29237 80966\n40374 80861\n42719 66538\n17674 62516\n24073 52987\n50622 83373\n13540 41024\n78187 83125\n60256 82209\n14869 59758\n53192 63413\n78882 93280\n18847 57680\n5135 64883\n37774 97834\n10932 58489\n13934 78823\n30232 66677\n69244 94006\n33345 76500\n25077 33254\n68533 74072\n748 27282\n14614 65380\n23157 70967\n1035 51746\n42178 91523\n19070 71363\n84650 86388\n9754 75320\n17808 60294\n6660 77205\n83927 88520\n23404 60808\n26929 50462\n45278 88101\n32867 90867\n75684 78210\n16387 90156\n40409 80638\n97734 98164\n84087 92187\n33845 60526\n31476 33484\n4738 8405\n43611 49819\n63617 97175\n18508 76650\n49794 52313\n36143 40889\n1549 71053\n54529 84230\n13887 37864\n3352 77293\n42184 70451\n24782 99029\n21451 37364\n37307 67095\n63446 93389\n17504 57272\n6104 60463\n28854 32055\n62865 92997\n20533 97656\n34091 85267\n14780 92344\n4717 7561\n72539 76811\n10226 29088\n1262 16214\n53338 78069\n7964 48565\n1786 92430\n24166 31745\n12205 12918\n5030 21462\n37749 54859\n61916 73180\n80916 97203\n2874 38579\n36521 65892\n16041 59732\n14377 23222\n12383 28133\n51828 60615\n31591 40612\n67006 92681\n69282 93547\n33760 70519\n61987 82802\n3903 25861\n7742 34773\n46282 86099\n15208 95954\n74480 75887\n7912 87063\n11517 33142\n9631 72180\n29657 32439\n13007 94204\n49009 58191\n1487 24089\n37755 96669\n65256 98798\n27159 89206\n67031 82963\n3832 76218\n31986 37551\n59070 68248\n49248 73321\n86935 89112\n1580 96169\n3907 64171\n52773 88800\n33531 65352\n42158 98265\n14480 89867\n23831 42900\n1165 4046\n48352 69585\n30735 60577\n5996 37280\n41587 54181\n77405 96312\n54290 78712\n25866 85842\n67940 82479\n36630 53402\n18313 59556\n8042 55145\n51501 87440\n11189 56642\n30270 62406\n76041 83077\n37853 76241\n31924 50662\n66739 98552\n53522 82812\n24034 88387\n1432 10824\n16878 73939\n52317 76163\n37515 44877\n43043 86604\n48584 91530\n7813 61384\n54085 81276\n38101 73885\n8389 41228\n9627 20405\n32928 60777\n39 868\n39436 47159\n40632 94901\n28288 79791\n41459 93460\n6785 35862\n12673 19702\n20317 26901\n72332 80981\n3610 89454\n11416 61776\n18423 56231\n63291 75943\n57230 64513\n26583 64095\n9042 68769\n55671 69811\n82967 99981\n21713 92631\n30320 45982\n22232 22915\n14652 57308\n18683 52076\n84228 89350\n1338 97641\n31371 47216\n53070 84488\n925 31187\n8540 21409\n86307 92894\n2945 88078\n18617 50226\n47724 50920\n42042 70202\n11159 87030\n20980 23187\n35241 42784\n32937 72212\n20074 67702\n45486 52629\n12589 83901\n27274 83946\n3277 34287\n30621 44293\n10984 24502\n10670 65904\n68594 90720\n15060 78362\n15883 16409\n4905 67792\n49771 93888\n4736 72146\n16594 57300\n14036 24817\n70226 89362\n40007 69770\n38059 57675\n6643 76952\n65324 79299\n4724 49833\n16718 88543\n41341 71092\n61922 82138\n9804 66133\n40030 54514\n3786 37480\n46048 69844\n8152 58274\n30870 34242\n29605 90275\n2958 7051\n831 72982\n9092 18108\n39335 44359\n19391 85412\n51948 88985\n26548 75028\n29962 99454\n42771 94394\n18903 87649\n6719 35031\n3973 11786\n4566 99123\n24633 84264\n11645 51807\n94844 99905\n15121 74345\n7303 99583\n8047 87619\n56212 70085\n17767 83948\n4340 35184\n12613 40656\n2822 95958\n46608 50281\n17893 94148\n26422 29523\n37826 90099\n5473 18521\n36337 76506\n9167 68257\n3687 83789\n48697 78808\n12261 56748\n13839 91996\n69827 92541\n78534 96446\n56486 76801\n18957 68710\n21385 46558\n23111 49295\n44036 48792\n31965 73632\n66761 83101\n28677 51123\n18924 44183\n28440 67558\n11826 69994\n54261 90439\n39462 44191\n13034 13543\n1032 52019\n14475 41386\n73569 79756\n7849 9207\n40591 68452\n22427 80894\n76060 97208\n37064 85301\n7510 10239\n22856 84778\n28745 33636\n13317 54321\n44180 48277\n13783 59127\n24026 95250\n22919 42564\n15581 42717\n55672 75136\n8824 12104\n73543 79832\n28152 58685\n421 20324\n29176 67174\n2824 20770\n15228 64420\n40013 46983\n28946 59423\n1009 37362\n10485 74954\n16486 61340\n1425 73116\n1749 75836\n29731 89031\n32666 45914\n26477 56544\n22210 52267\n37795 80465\n43723 62884\n54451 64087\n55046 88935\n3553 82186\n26096 53658\n38253 70103\n98115 98458\n19661 40971\n55030 78234\n31277 57039\n43040 63153\n13912 76123\n23764 98620\n4548 82862\n72877 81840\n62841 83413\n6551 48799\n35427 62672\n50067 89620\n54947 66904\n24222 99253\n20165 37069\n18052 98019\n15367 29157\n78465 86667\n81721 92411\n6804 17829\n17218 18538\n16859 90966\n67626 90187\n58852 98795\n33157 88923\n51166 99141\n31916 81742\n64360 70951\n15184 75305\n25305 77315\n31239 48300\n4227 94147\n7891 51550\n1528 13597\n41387 48661\n32330 56303\n31101 75130\n55337 69102\n46208 92590\n46513 85400\n43870 93491\n6628 62597\n5135 84914\n15480 97655\n19100 83147\n57754 67042\n46598 72596\n51478 82790\n41829 47964\n49508 88784\n2758 53160\n22644 62257\n1144 7480\n22249 63381\n38854 44146\n35696 59423\n7233 66667\n10726 58508\n12072 94356\n11006 34622\n31607 97656\n50042 60371\n3407 14869\n12650 73166\n9039 38232\n22825 73362\n79447 93158\n47186 60346\n43103 48116\n89457 96892\n36746 52585\n94679 96018\n1301 83323\n81594 98691\n19661 81607\n19305 38015\n15960 95518\n69524 71873\n3896 13833\n30176 97312\n19895 69751\n6943 16266\n17441 50067\n5639 55054\n70779 97771\n66823 99603\n15426 52388\n50154 89235\n49564 53515\n27096 51864\n39203 39600\n22544 27180\n25075 33098\n70791 87525\n52137 70003\n16645 69740\n22293 88953\n28059 54085\n72673 74124\n27418 69355\n51951 54546\n805 21423\n36776 65178\n38720 50652\n24978 92004\n64511 95427\n23897 29941\n19202 40380\n82031 98467\n1731 89365\n44240 66428\n6577 29065\n9808 93157\n69079 76506\n6584 53426\n9661 87719\n269 10386\n11087 90839\n51247 71079\n62969 78476\n22561 80451\n19210 93996\n32342 38577\n35126 84622\n8958 47811\n10894 62586\n48144 61025\n59458 77856\n24744 52398\n34678 48910\n6084 89298\n78554 98443\n1097 17183\n26363 73978\n11195 44986\n50670 77867\n39632 49478\n10798 25277\n89528 90884\n117 22428\n9922 55189\n41781 97197\n22327 85204\n54250 55276\n44813 65754\n22975 88262\n6959 9768\n8140 10246\n7850 70118\n23071 90641\n26615 88456\n40781 93886\n30374 33951\n1988 62459\n85745 96780\n93030 96775\n36463 73366\n26274 43945\n53602 55634\n26358 78052\n6236 35213\n8968 20842\n49861 95755\n3703 57161\n14631 71421\n50005 88452\n26976 59832\n38043 88785\n9162 97315\n79838 92608\n67188 81623\n16446 62105\n55444 96895\n22989 38268\n73451 74850\n62852 63122\n23110 96848\n2788 51686\n28568 36841\n867 76814\n36420 43566\n86608 94192\n2559 66573\n28521 33293\n21144 77639\n34153 66585\n71537 96365\n27011 72337\n44227 57308\n8082 82130\n3790 28231\n51273 59660\n4510 90589\n20858 20871\n56281 58073\n1308 14471\n10857 73729\n31000 67644\n62335 68913\n36765 85033\n19409 56355\n92884 97386\n9346 88107\n5328 79152\n2328 73974\n18404 21720\n69462 84951\n24391 73170\n10189 54506\n9020 57128\n70109 93433\n65401 89189\n31222 89637\n21308 54555\n46621 74140\n22961 24131\n14420 89959\n26123 53772\n9723 41013\n8950 45935\n59313 93092\n29656 33031\n23018 37153\n25665 27273\n54189 82173\n8992 25423\n22091 23171\n51846 64455\n62075 79288\n29175 55661\n5146 20434\n13742 95604\n48439 72642\n21696 56482\n26674 84393\n27814 80036\n41019 70803\n25422 37972\n16456 26547\n67326 96686\n62119 74584\n7607 26748\n4314 9484\n48775 80097\n51288 64309\n5025 53121\n27745 28389\n7545 12025\n1904 67445\n5187 77905\n24976 26015\n22888 47961\n11450 74453\n10792 12161\n11216 15980\n37151 67458\n28610 53163\n43745 97434\n58029 87849\n14752 41686\n25232 78391\n4803 43035\n52319 90845\n9290 9835\n526 71108\n89246 95839\n33683 47215\n6999 64631\n321 26071\n2047 64111\n18135 57559\n39028 59987\n67166 67286\n785 78527\n44655 90396\n53054 53736\n40633 46683\n29501 66794\n43774 54105\n35291 68202\n13635 80293\n11587 90776\n73348 92499\n32310 97079\n17501 78470\n84752 89469\n72470 77402\n56423 62627\n38474 44573\n21309 66401\n40940 99585\n14256 34797\n27028 97823\n61408 79273\n55751 72465\n20901 94561\n16349 71392\n96022 99182\n20085 34405\n15177 60381\n11569 72144\n45470 81712\n16518 30693\n31850 69559\n43889 89601\n14509 48406\n421 15558\n78504 92035\n6473 26191\n10164 92611\n42728 84722\n27833 52631\n19577 27946\n7211 59332\n27740 70073\n48161 91605\n8064 23948\n38233 86240\n77494 82635\n15613 81192\n11802 43351\n60961 73558\n44862 50432\n10015 93997\n11159 44791\n53384 88384\n8151 49555\n37964 90759\n40153 52794\n23409 84436\n6475 71091\n55041 92596\n24300 51754\n3266 92662\n1649 84309\n46397 75307\n6611 24524\n2599 17454\n26118 69762\n75375 93643\n7729 38929\n82066 85448\n39928 88673\n16302 61278\n75612 87485\n35160 96204\n65443 94724\n45654 51821\n17664 71545\n51566 99875\n65506 83677\n18040 79279\n3282 91019\n13461 62801\n6741 18982\n50462 84909\n19801 21831\n81532 81608\n6564 52434\n23986 99280\n8439 15707\n34685 39216\n8741 25632\n27848 40280\n51303 83152\n77062 92238\n33311 69362\n64257 92972\n3080 28156\n48509 65733\n27790 49682\n2961 63484\n41647 97719\n9815 17756\n8153 58248\n29412 96007\n19003 33929\n8826 74335\n24140 95991\n29369 31812\n2008 5170\n22505 43785\n2702 6150\n16819 65492\n1269 73683\n16913 84977\n67996 91748\n57086 84175\n29236 89153\n18897 26149\n3839 79768\n18247 59034\n15308 23611\n56817 72233\n31096 79698\n59836 78610\n48296 54723\n14487 83407\n42137 45306\n35424 41140\n2308 9801\n28641 70105\n59513 62327\n35715 67812\n36595 49064\n17763 52495\n43288 45302\n5981 67292\n29087 96277\n22024 24839\n1451 47869\n42628 89039\n6479 44609\n1284 22942\n51685 75651\n25134 27210\n64918 99006\n76474 88842\n56920 59609\n51560 60472\n39661 48023\n3779 92589\n28967 68938\n44943 79749\n5651 23933\n16819 83338\n55720 60522\n46007 68334\n14892 26546\n34711 98444\n9014 79845\n38245 42089\n6595 7354\n27338 55936\n1066 87785\n78622 89154\n1901 13132\n5092 11174\n30368 84897\n3869 70893\n9556 55612\n30169 71016\n21278 61610\n14564 53930\n34077 84654\n4093 53310\n22429 35703\n1334 52460\n53345 83031\n20741 95002\n35286 83663\n12307 46220\n40596 57104\n57950 90901\n14853 18336\n33168 92428\n25937 63687\n77501 89572\n13617 62301\n66320 83926\n19343 93079\n27160 41891\n38015 90136\n81980 93161\n23835 96299\n44514 49139\n22198 57003\n50360 52564\n34621 50342\n33248 90296\n66921 81562\n52531 59084\n61846 75596\n15622 72770\n321 48573\n64767 65253\n14546 86935\n20686 51493\n1404 49945\n9149 35874\n46269 68803\n2006 2922\n18100 29833\n12932 53957\n27943 87472\n9749 10115\n12231 93409\n17766 38337\n21645 87945\n9202 43541\n33979 60219\n72002 95346\n29618 88129\n63205 74072\n13962 28987\n46533 50308\n50014 94723\n99568 99999\n51730 88598\n7472 56232\n60182 60527\n11866 46586\n3744 31047\n16990 87111\n7537 82663\n82905 92853\n46147 49770\n57576 70435\n16747 33972\n3621 96170\n31348 90747\n39236 54441\n32259 38864\n24405 73463\n42371 69824\n26497 50560\n27023 89542\n31971 61649\n4857 66560\n8922 93310\n15586 88617\n33703 62781\n767 24824\n42592 46522\n27884 33970\n10538 92379\n32439 45741\n39685 75381\n20387 58714\n10558 86515\n7028 84798\n46416 83050\n2664 77025\n28133 75107\n27201 61457\n36237 50640\n18517 34585\n36478 87538\n16177 41252\n26503 36501\n65278 85399\n1002 52035\n23275 76334\n17637 35638\n8299 54296\n11176 55828\n23424 82528\n3187 19808\n45383 91235\n27289 80865\n27701 30580\n2209 20573\n39747 87150\n64352 87180\n41105 74893\n82943 93452\n55133 66183\n47267 81485\n36033 86202\n19586 78756\n34366 84380\n57576 72657\n20533 79864\n7153 29711\n7350 86022\n81072 82689\n34788 37515\n9721 56310\n74644 99818\n62886 95040\n52267 92155\n48633 63116\n49430 68571\n8831 94826\n40095 55713\n6933 39837\n41863 63820\n53416 88984\n92 3877\n20065 73475\n2332 76105\n6416 42390\n18956 34804\n80695 95354\n37902 71836\n10083 50601\n11686 16721\n16602 47407\n49265 85222\n18323 27374\n14331 40675\n78536 97480\n16525 37912\n30537 37010\n32237 95004\n16389 56388\n3749 96036\n53677 93447\n42800 43613\n24506 57334\n74367 82046\n7268 27520\n43219 52863\n14484 59089\n4414 25758\n44109 58851\n68116 81923\n2633 35567\n33650 42224\n73964 91179\n38802 76587\n41358 69998\n1533 57743\n45310 49382\n11792 58424\n9549 88742\n18376 76722\n77 95516\n3191 64419\n17288 32855\n33879 34927\n12236 16658\n33032 76687\n12506 27575\n22784 25124\n5182 72691\n29586 72658\n78569 94675\n87240 91821\n12665 93953\n21143 98998\n43449 68177\n2776 25812\n81866 83157\n27400 51141\n21793 88259\n86971 90613\n4242 51980\n70639 74293\n33695 64765\n49703 68076\n3879 28936\n16546 65585\n18790 19350\n18533 96360\n3217 69477\n22475 37715\n30304 55146\n99506 99944\n997 74868\n24064 46618\n3382 99247\n84348 97371\n14486 40031\n40670 44490\n1364 16829\n56293 60343\n10235 27801\n3931 13976\n29879 59574\n14248 51533\n31630 75797\n5928 90332\n33241 72985\n12517 75207\n47774 48313\n5783 24159\n49967 89007\n3083 48661\n57676 69009\n44196 77281\n7521 8895\n20113 91610\n59671 87448\n9959 96184\n58962 92555\n40604 89984\n66381 73476\n21505 55644\n93718 94003\n26313 90319\n47911 86182\n10186 17384\n49988 65842\n61633 82548\n86615 95809\n10607 68083\n23050 46241\n41085 75755\n11508 32425\n52222 88501\n79733 85231\n16076 72486\n25399 26274\n10431 36104\n24183 88240\n29133 44139\n67544 98781\n9229 23057\n14124 16576\n7388 78870\n43627 65923\n56834 71955\n40786 87708\n38629 51147\n32166 99935\n53977 80640\n3322 25578\n52300 90660\n41625 95631\n16091 23280\n52845 62113\n40108 79038\n638 14198\n83021 99989\n36691 61755\n31257 77064\n46054 95265\n26364 66353\n20023 96670\n36395 60543\n7557 33465\n11155 21373\n50254 79333\n20848 27135\n36028 52895\n2669 79142\n11708 13858\n50358 62094\n24292 80123\n46476 53972\n10280 73771\n7640 56812\n19440 54304\n10657 60610\n39414 51244\n12589 81119\n44053 78036\n40205 65663\n38505 65632\n19495 35904\n63880 83132\n29396 54907\n23491 49345\n80690 81548\n50857 85352\n35001 43454\n26895 74118\n24400 93035\n18083 40782\n10040 22161\n16259 51677\n45647 65813\n39940 83195\n7538 22424\n16766 97003\n12471 80286\n45708 74125\n25497 78760\n23498 28949\n9606 80046\n23389 65510\n20295 24034\n18168 65362\n26341 51685\n51274 53402\n62514 91273\n42920 43151\n5055 66858\n11322 14335\n37793 79651\n58133 95872\n13503 97220\n43350 59549\n7525 90657\n58312 75680\n21243 47864\n40831 97328\n38519 43307\n33617 98668\n274 5509\n3340 40585\n4397 43836\n10546 47032\n57716 69860\n11837 82505\n43108 64197\n1152 13651\n27110 93845\n2444 54242\n21177 69869\n43496 92874\n14304 43797\n19078 45977\n77047 99547\n10115 97163\n66068 90987\n57722 88682\n13927 20753\n21411 72454\n74860 84804\n12539 83083\n769 51837\n6616 48329\n79610 81490\n43232 97786\n5067 86592\n75814 81407\n20774 32549\n33312 34732\n23355 57186\n13834 99377\n43126 67519\n18901 60027\n47377 94585\n35657 60978\n66523 71080\n15903 52831\n35564 76524\n14974 64382\n56652 76497\n26674 58821\n20305 40489\n8142 10270\n27363 69723\n46304 68590\n40740 87586\n1408 6857\n7576 10097\n44340 64115\n71373 94083\n61043 68625\n27560 59806\n18266 90823\n15103 38270\n49940 52625\n55147 99111\n7006 51315\n21573 37194\n35727 64493\n24964 70779\n38052 76169\n35298 63784\n37895 89088\n31760 39857\n14952 64812\n40992 61816\n64677 75629\n26334 95683\n52165 97736\n7044 34021\n31899 93205\n39521 71350\n19719 95822\n28597 80497\n75570 80365\n36466 82706\n35977 78012\n60654 84162\n8998 86575\n55558 95392\n59135 96015\n82 79540\n9685 52002\n6241 44818\n30348 71911\n28936 28983\n28063 53959\n40506 80225\n23570 45809\n41326 75240\n64982 68624\n36552 74579\n45371 66548\n6477 34992\n8027 21852\n838 65797\n1445 41552\n9082 42957\n17986 72925\n20003 75688\n45801 90940\n68008 68545\n30916 79875\n20560 51088\n90354 92982\n42487 48625\n852 20092\n3824 63863\n2499 11238\n26919 69414\n56464 89421\n22035 90765\n9182 30255\n64872 70409\n70519 78210\n87059 97248\n23142 92165\n12943 87571\n11985 69744\n21779 68210\n24520 64813\n30191 35530\n42495 71666\n67394 90243\n14824 63986\n28109 45980\n85018 90024\n3556 87975\n4464 19842\n43733 86641\n11889 28057\n55331 87177\n42051 69162\n7083 69513\n28711 65733\n1032 73587\n40226 70379\n15 32015\n5951 91472\n16183 36015\n42422 57645\n2633 43922\n48749 96070\n14524 33331\n20362 27119\n45363 82157\n10627 32178\n38955 66313\n7052 77562\n2408 24627\n54449 97642\n31143 81891\n51461 68093\n32358 53720\n6434 39606\n2237 79603\n28618 88186\n1832 52972\n66994 81251\n36773 81416\n19655 95083\n48730 91956\n56486 89818\n37834 46706\n18803 36713\n53453 76646\n39188 74434\n30938 84016\n5681 58077\n2299 42643\n62357 92350\n30664 43583\n58866 87568\n34555 51734\n39022 60743\n65747 98506\n28118 91817\n70593 94031\n94500 99971\n8806 49812\n30931 79433\n38420 66618\n2689 10921\n33462 64070\n68947 88309\n54184 55597\n12607 47187\n37115 40112\n76660 92298\n28815 41299\n59449 83815\n19208 85540\n85664 96704\n59330 96738\n17625 96194\n6135 20406\n22904 73184\n32442 74115\n67748 87567\n3601 22193\n6543 83003\n76827 86379\n2993 60797\n53210 84191\n13148 41378\n1094 42862\n29250 74750\n27079 77065\n3359 7883\n22400 67612\n18284 91541\n78419 80316\n57355 96425\n82221 93354\n50381 68574\n4970 51238\n50081 63562\n42495 95491\n50765 73764\n45743 70313\n29262 40782\n58867 66565\n75112 82306\n56735 87769\n72275 88039\n6831 64530\n13551 54001\n35387 48999\n16689 64865\n11427 49956\n7218 58323\n70336 75515\n9195 32481\n54476 83622\n38579 49523\n39194 91362\n40418 66303\n38345 78651\n68462 73812\n29303 41644\n30176 78867\n42740 52735\n31772 65164\n46307 83096\n6996 65838\n13913 24476\n29279 65141\n64932 70571\n25700 52693\n21673 65357\n21828 87030\n39823 96116\n47400 99229\n23941 37513\n27953 69768\n53001 75251\n6057 71340\n41689 42194\n8481 41235\n10276 72787\n26888 85798\n69864 84756\n18140 47232\n13867 26635\n7972 96161\n33226 91174\n44000 54083\n67923 83477\n58907 65576\n3535 24648\n72804 96149\n24609 43171\n17693 85401\n18451 20358\n550 13941\n30018 33302\n11993 30628\n25371 38383\n10184 61552\n10250 73017\n20464 46925\n17204 62769\n6485 12452\n77145 80323\n26039 95740\n57446 60924\n19858 22737\n20456 84872\n15927 66197\n32099 76479\n4030 11253\n12256 87838\n34944 49184\n58310 94724\n2875 55890\n8220 89231\n23951 91446\n56430 80977\n45183 60994\n25254 80418\n65729 84435\n8875 47374\n62299 82601\n43405 71984\n23723 86600\n103 46087\n39135 59007\n11931 89967\n21740 39648\n17187 96776\n38997 73465\n81067 98946\n52289 92698\n7543 83017\n41354 78417\n30175 38800\n31283 82753\n4951 55788\n65400 95682\n32877 86233\n40169 92544\n33842 42638\n3702 33027\n27089 40345\n4515 92005\n7554 94835\n42209 54977\n63621 92583\n42095 88141\n3478 5485\n48359 91242\n22186 76998\n8627 72334\n73786 74584\n24902 90831\n13165 14051\n69984 77652\n46689 58999\n76150 80664\n16549 35664\n70005 84206\n875 57415\n63292 78934\n48934 62382\n4470 24386\n22488 56475\n12099 88524\n47291 76720\n22645 84396\n60547 90462\n16887 86417\n28423 74296\n27682 85323\n9330 30009\n53411 89539\n95860 97586\n29401 32673\n16416 76811\n41919 59469\n3364 27803\n1409 54372\n53601 78623\n92838 94344\n55051 84368\n57196 78151\n22886 26424\n69734 97068\n48446 80582\n64727 82784\n7570 33857\n57907 79531\n43385 99660\n43452 89687\n68617 79654\n18165 49079\n38999 55587\n35332 68525\n27786 83942\n65690 83765\n25693 37322\n12031 38832\n5253 13369\n65075 81520\n48918 54989\n8675 38377\n8856 78876\n3147 68665\n54845 55377\n26609 40780\n23380 82337\n6208 38597\n19476 43775\n29795 82867\n18567 45529\n19528 61251\n63656 77815\n11951 38006\n67191 85554\n36981 44744\n66577 94934\n53128 80904\n36427 47658\n6213 20892\n53300 91538\n36428 81072\n14716 96251\n32715 77794\n28522 85115\n5778 50127\n47782 94412\n34493 94614\n43494 51947\n27463 43386\n6448 97055\n78301 82338\n19058 28766\n51788 89315\n23805 33532\n66475 88933\n19586 38553\n2754 11133\n16107 17589\n9817 41083\n20120 52932\n29325 65788\n5698 18349\n28481 44813\n12800 14428\n8338 99945\n73509 74040\n87298 98826\n60500 70251\n23234 55560\n46983 47948\n23377 72359\n11605 40387\n48878 84430\n39339 80078\n8811 21978\n17396 48227\n34261 98721\n59109 81157\n14014 26298\n11957 62579\n21400 55753\n32949 41181\n10870 32627\n40926 53052\n27068 77093\n42972 55040\n5359 60453\n41474 80135\n32078 35733\n12886 86526\n43610 57042\n16180 26593\n13095 82401\n38578 76618\n18147 44015\n58453 87611\n19511 21384\n41442 70235\n32172 60506\n53927 99344\n26219 52641\n48627 72776\n10313 80894\n11530 57100\n18761 27893\n5608 49121\n44228 61405\n59409 77620\n67758 71104\n29574 38697\n6816 51798\n89146 93317\n3814 58755\n8451 43100\n36390 37779\n6070 59033\n46627 70891\n53774 55179\n75375 75775\n26335 46654\n2129 97589\n18509 53483\n46066 80614\n72361 96943\n1474 48890\n18546 49857\n10172 23265\n63601 94478\n26105 68895\n22328 97881\n69118 83050\n56026 73107\n10593 94391\n36982 41913\n43154 44419\n23189 59824\n34108 41183\n43554 57675\n5159 5781\n1121 57523\n26352 95671\n613 17964\n5907 87303\n54650 59880\n22817 82906\n34528 61697\n14729 99016\n7186 10478\n8644 42959\n34818 90439\n4966 56977\n19310 98531\n20154 94111\n26075 74332\n8754 28360\n84878 91494\n24515 40049\n78836 90151\n1383 14941\n29979 93488\n20139 55702\n34194 74125\n51163 71545\n28566 42446\n40736 53725\n70616 89309\n56067 83803\n64529 99049\n15188 81792\n22108 89134\n58555 85283\n196 5027\n5501 56268\n9880 67282\n4731 24469\n24362 30615\n66439 88848\n34200 62378\n35638 93896\n72677 87078\n1477 63366\n71364 89446\n67626 96972\n20273 68206\n15223 59115\n16928 95743\n34850 35056\n33068 83074\n50561 75903\n30859 99606\n9211 80609\n77191 94435\n49691 50781\n7844 31291\n13560 75644\n63806 78181\n19203 53122\n90103 96234\n26588 76107\n26038 30439\n955 70005\n51939 77670\n47818 69271\n15454 75903\n1304 73998\n1437 67658\n4390 96322\n93286 96229\n35453 96479\n51077 61823\n90157 99546\n27870 32772\n6919 72721\n61964 68719\n18652 37609\n51888 52027\n22027 83482\n35346 69420\n67395 73614\n5225 9594\n35242 88080\n51101 76885\n16459 19158\n39104 48425\n66186 71686\n47726 71352\n33995 92326\n14651 79915\n35360 79812\n2658 54214\n18248 52901\n7619 89680\n505 75834\n17568 50811\n18912 38457\n2810 15944\n36242 78513\n13954 73867\n43296 73504\n62294 70087\n15468 68766\n31819 39652\n22007 72879\n14830 77780\n16790 85593\n24554 43546\n6817 49788\n10097 76035\n18331 34721\n50165 80952\n56780 86407\n12654 79184\n51950 80946\n28489 33213\n13627 72873\n59566 89500\n43763 88874\n37515 39691\n97808 98266\n21827 79197\n16717 59808\n12521 62924\n60723 68106\n61700 99162\n9428 39312\n54130 96268\n73951 81546\n81707 97226\n29444 84824\n66812 93615\n26281 86757\n45301 69038\n52319 77184\n14824 60838\n65871 90581\n46034 54419\n12549 20931\n19866 44183\n1627 29500\n16222 58217\n59329 93865\n50911 62389\n18322 89729\n23146 25724\n11570 17977\n25786 42211\n7527 51516\n59709 87959\n9226 69833\n16853 68647\n53979 70994\n82323 99736\n42214 54696\n76698 91120\n13351 32881\n1168 94098\n36299 70365\n1800 34780\n19414 99831\n37098 57016\n72013 82190\n34989 55355\n41844 99953\n50495 68242\n28218 84318\n19030 24099\n85947 98155\n2929 55387\n17480 88844\n17449 55150\n35573 68713\n14698 60741\n62369 79457\n22033 41820\n15740 82886\n52461 95837\n2791 43045\n44230 60268\n3013 97484\n92073 96096\n50797 52115\n17947 51408\n16299 61240\n35969 68511\n5015 57323\n19431 20159\n3919 48835\n14647 46340\n34002 98032\n52940 74477\n78171 89491\n31136 89631\n48902 73931\n5275 59733\n24307 35108\n23685 57692\n8118 19167\n26349 52289\n52507 80243\n25779 72827\n40666 69713\n57180 95386\n34872 91059\n65694 92183\n44193 59762\n9540 13965\n51652 84925\n78618 89726\n27545 88361\n46134 90989\n35181 51678\n43122 85442\n51953 53444\n32580 83896\n68391 97350\n52584 69954\n39436 70255\n73546 81869\n66149 84022\n68992 94756\n21583 33265\n38080 70164\n47067 77681\n37183 76853\n25549 83316\n12371 84061\n46316 64650\n9864 38861\n27633 42580\n16275 36428\n4808 67649\n49579 60193\n46994 84297\n60963 97987\n60090 68169\n39075 64471\n11533 87644\n16925 79957\n43903 65542\n30727 44070\n48415 99837\n23753 60115\n14796 80303\n78900 84539\n24601 63213\n39440 48803\n26221 99907\n17484 86982\n11490 53447\n76432 99917\n3983 52517\n25956 58244\n20322 87769\n69563 99274\n8969 40197\n1260 93251\n9401 85697\n55964 88953\n56173 93143\n25367 31237\n18245 63497\n48315 65496\n47813 76364\n52799 99234\n55883 66650\n6633 37497\n8207 45587\n66455 81510\n21153 48414\n12431 93731\n5752 17328\n60835 92867\n11970 75941\n28053 34331\n15427 96553\n25857 87521\n37698 79139\n17411 82524\n10912 69742\n39993 98536\n11419 84497\n74914 93049\n20442 24829\n20965 54057\n58090 83406\n316 54638\n61792 93875\n15926 50357\n93645 98174\n32426 60910\n59995 83491\n4264 17873\n17872 60864\n29357 82097\n45585 52372\n317 54509\n51095 68075\n71968 79375\n82932 97451\n21386 79089\n52971 58870\n29912 99348\n6695 53958\n20933 24753\n83712 87683\n13758 80460\n24211 41952\n4126 40488\n37387 63967\n60088 87759\n11542 51399\n43093 65261\n41890 67996\n57679 70649\n17187 94946\n60748 77325\n23976 91821\n3286 92799\n34225 71611\n41755 77237\n41174 98674\n14586 50245\n60339 77925\n694 3528\n8082 40685\n16059 97198\n77959 80484\n31484 67434\n10478 74824\n59953 72690\n31215 64018\n20221 34710\n22709 96652\n60145 61876\n44215 61330\n32846 61265\n23759 93147\n15916 26313\n2511 26053\n34711 94945\n37079 75350\n45586 73658\n50704 84034\n66524 94145\n27147 49759\n17036 26529\n17207 53866\n26867 95591\n6339 99996\n31456 33173\n8356 99808\n11969 66138\n56590 82104\n41507 91172\n8048 51195\n4906 44390\n63467 75600\n74726 87240\n10306 36827\n303 4427\n75629 97835\n18767 82455\n62193 80565\n48659 58142\n40745 82393\n34543 68760\n27501 48513\n48132 72520\n36731 77792\n79711 81299\n32631 48999\n35855 85643\n72275 91191\n37042 51522\n38740 74120\n20942 95574\n13598 73787\n46901 58145\n4005 15009\n40889 58457\n61493 66023\n65606 75967\n28477 45969\n21966 81987\n60134 73809\n46549 97194\n734 59941\n57344 68468\n1185 77135\n45022 54992\n47458 72817\n21048 36234\n70872 87357\n10215 44846\n64545 75103\n2770 7069\n33915 68078\n31653 78088\n27134 36622\n54529 94612\n18786 80009\n35445 50148\n54381 63797\n30237 59776\n22669 93298\n62386 62759\n60258 67097\n38320 98209\n47602 66299\n35268 80712\n5281 48342\n43797 68804\n71284 75693\n2485 36124\n20769 99148\n34753 74797\n15916 23974\n27064 62314\n11819 30404\n22395 61795\n17814 97819\n73296 83279\n3479 91214\n31455 67721\n16594 22026\n46343 76625\n4512 30673\n5906 30860\n667 5186\n9267 64736\n56352 95364\n73993 75921\n50284 91163\n47576 70870\n42006 97181\n30567 97224\n5473 11891\n51411 66582\n29843 81492\n44170 84664\n26394 89496\n48285 67501\n20345 47525\n10962 20457\n31359 38086\n30194 87019\n21801 37276\n949 92461\n45935 62706\n6438 26114\n9113 20060\n30889 52548\n32561 57958\n33948 55688\n72777 89655\n52066 85390\n2180 13804\n1384 79318\n8810 42135\n62569 95323\n42665 58382\n12331 59542\n12865 45310\n53604 80951\n85143 97496\n16269 29912\n9059 30595\n29238 40113\n48849 62679\n28238 43258\n70284 96200\n25321 35188\n40463 48789\n20629 45518\n2686 19143\n1981 83923\n49565 80161\n33508 37104\n6143 79304\n6819 43551\n23414 49038\n17649 20866\n39412 75961\n20049 41058\n38982 53736\n26432 71816\n57125 86541\n13047 55403\n36246 78870\n65225 88430\n85749 96559\n85883 99809\n12664 84163\n8445 92798\n3664 55495\n30327 83797\n61998 64256\n13249 43978\n35763 71358\n39099 83855\n39360 44806\n76968 92138\n43156 69345\n47739 97633\n35335 80321\n6526 15068\n1604 24387\n16248 57452\n44808 94754\n59541 69917\n58745 83041\n42620 50096\n139 67237\n11897 42940\n50990 83032\n8156 24945\n19677 38726\n36210 62531\n3036 93318\n47320 91655\n34465 54554\n28820 48362\n51242 88352\n9959 16666\n3810 86046\n36146 75443\n18331 41988\n73299 78922\n21124 73812\n331 30093\n11210 26502\n62111 71157\n45957 84640\n55651 91349\n4628 38055\n23726 74072\n9691 31705\n13779 27606\n109 10734\n26607 71645\n40520 92327\n28927 39331\n4415 22524\n8735 78602\n10683 83846\n60790 70226\n65967 80604\n84097 96502\n32352 67389\n18228 58483\n613 38346\n43346 77130\n63303 63409\n26095 51314\n66135 93167\n1835 73241\n9398 77709\n13914 96196\n34441 93212\n8642 78918\n10297 11619\n17289 61620\n51275 58683\n7999 8195\n71472 84881\n1219 33303\n57152 80261\n7732 47329\n60827 85406\n71070 88293\n8049 88232\n11239 31323\n50549 87466\n52014 89825\n8405 83798\n63450 72445\n61077 93691\n45358 98498\n24143 66194\n30894 65885\n85728 97078\n51121 89519\n12661 52839\n15908 43210\n29917 97976\n77541 85612\n1824 46947\n46913 66123\n64704 79713\n68136 77685\n22032 45860\n10861 50349\n65430 73004\n72709 89482\n8943 45104\n2177 47068\n41657 43422\n27677 50350\n32253 69502\n52373 60909\n36081 66008\n22185 24361\n4766 29784\n77786 86877\n12922 65059\n38305 66326\n15742 71112\n83041 90828\n59089 80047\n16908 34799\n10545 25896\n43856 89023\n25210 82017\n11445 87770\n49676 84285\n1047 49303\n36960 77618\n26 45945\n71328 95271\n57052 76764\n32700 55274\n48860 61194\n10580 84930\n46853 97106\n14028 53246\n4718 85492\n57484 86925\n10235 28705\n64611 68202\n69627 86103\n46938 72073\n31945 81746\n29424 39609\n7608 81391\n54399 76914\n21803 55678\n77060 84512\n14899 20486\n7359 14626\n14244 61941\n51034 52101\n697 94802\n52369 55345\n14131 44444\n15654 61239\n54813 95430\n10987 61892\n29043 63952\n10231 70117\n38664 54168\n23667 29289\n42550 62673\n23630 76803\n35713 71187\n31819 32467\n79015 83277\n6570 78501\n40777 60760\n54260 81667\n58050 58378\n10704 93991\n13842 72830\n15224 22602\n33597 45312\n54609 88044\n22437 29185\n38051 50156\n31614 98052\n32857 81947\n5915 72739\n6914 73001\n10229 42756\n18454 29026\n23208 70784\n7120 64958\n47929 89288\n8598 59891\n666 61754\n1371 10185\n13750 67339\n77340 78280\n97746 99994\n50499 58953\n3840 11993\n15902 61210\n88584 99693\n22161 74262\n11461 69462\n25715 31011\n29102 80273\n14463 66694\n12636 23199\n35317 42913\n86687 87914\n61277 64671\n31736 41334\n42092 63673\n12878 15170\n78478 85364\n53938 86354\n793 92691\n4885 6243\n83064 89740\n25521 61953\n63391 71756\n36254 81684\n6049 64749\n50561 78123\n46627 74663\n70595 89435\n10739 49300\n73597 91758\n16861 97253\n59362 84288\n55028 92254\n32032 43526\n41247 61318\n40823 77873\n12155 19291\n19095 69378\n28201 64622\n49619 60160\n68748 96521\n16461 57888\n49906 80681\n51980 93475\n1682 97474\n76222 82919\n10008 27830\n50186 73600\n27682 94355\n76445 86514\n57805 89609\n18443 58665\n26707 68039\n62188 79619\n26550 59188\n71267 85244\n18391 83244\n34329 66751\n4218 16319\n49864 51637\n35644 97008\n22191 87266\n38013 55810\n27881 77191\n58685 82909\n49166 94371\n3471 65050\n16782 66447\n46807 78396\n51869 68198\n2735 65507\n25097 54116\n2783 6295\n5237 58117\n13348 82593\n14736 17048\n40253 44047\n23158 74943\n16663 99187\n68938 79027\n60418 62115\n8971 43795\n8997 76479\n7078 68650\n77527 88880\n48645 97464\n69297 77179\n25646 86844\n71289 92190\n33183 81953\n1158 81963\n40289 90109\n81811 88372\n5835 72992\n7536 86268\n3184 36517\n23618 56149\n44761 62656\n31451 62423\n52114 99251\n1588 46995\n8270 23093\n52845 67072\n7858 36724\n7337 13629\n41860 88628\n59212 65705\n81884 94952\n2936 33409\n59048 84575\n46942 87205\n26031 49957\n25699 96579\n4407 82641\n88550 96362\n61630 65601\n62576 77684\n20742 93938\n57465 99297\n30519 63303\n68682 81786\n73423 81187\n70782 95541\n38076 50025\n28607 73307\n9855 70008\n18926 89066\n41027 67337\n53459 64503\n25281 43603\n12704 46164\n4529 44868\n2636 31129\n43858 47520\n24775 61400\n66433 88744\n27007 65811\n63129 92642\n19792 75639\n3979 55909\n38224 60295\n10066 69818\n44890 48875\n76820 92347\n42227 74379\n35672 57947\n10203 87471\n58367 91586\n26046 32502\n7091 41428\n13812 41813\n20037 50651\n8708 49060\n32027 48593\n40029 67832\n67417 76217\n45321 65540\n17619 92715\n57057 77742\n9183 22315\n55056 59119\n31519 61610\n60890 80819\n45182 48973\n82652 94529\n26122 78925\n89588 95505\n41632 93302\n6552 12230\n15087 24095\n73515 74176\n8460 61966\n95592 99898\n66909 67350\n31610 55268\n90715 93835\n69064 71039\n74839 84735\n45345 78679\n77105 81873\n23919 58426\n20718 90514\n79941 88904\n53333 61150\n12938 51253\n6160 81186\n5253 12085\n72323 73155\n4933 83295\n72341 84603\n54438 72275\n35200 53226\n47514 66948\n49697 74525\n20363 88363\n55518 73522\n3892 64490\n28104 70809\n57437 71902\n33087 65779\n10314 16775\n22169 41861\n7605 88811\n65367 86033\n10636 61461\n73891 79636\n68445 80918\n19308 55842\n17587 30151\n12838 41495\n22008 71222\n80131 90749\n67797 86138\n59212 82429\n30736 56578\n54561 81410\n14458 15327\n79988 84817\n6801 12462\n41375 69433\n6567 40373\n6760 57641\n19148 81047\n37666 84942\n80676 85221\n2464 95987\n33295 53812\n17556 57392\n40459 44769\n51391 67062\n43728 64132\n36852 43236\n8143 8910\n10758 16178\n9901 86487\n45409 81070\n23889 45606\n27481 46339\n42318 48521\n61132 79926\n51396 71311\n30795 41822\n22306 83534\n3160 7577\n69191 76175\n27503 87360\n41275 84534\n61581 96225\n91954 93431\n54890 94222\n80 5553\n5556 66376\n63329 87674\n46000 92382\n76848 95602\n16143 50752\n65862 86160\n78115 80564\n43812 49928\n20323 45962\n52229 54971\n88965 99585\n20510 75585\n84988 94713\n2422 45854\n2003 23024\n50918 71958\n38213 38606\n6156 78471\n19828 70004\n18568 80220\n43962 59098\n31683 87576\n9600 81271\n21097 94892\n54597 60522\n7781 54003\n1382 60664\n7816 50993\n40107 69800\n59401 60025\n36031 75308\n47084 89633\n16127 92586\n30730 53402\n15738 70921\n48395 92154\n23302 89531\n5972 49039\n36206 94549\n30569 80635\n4142 47757\n7001 71619\n7602 79747\n1179 40510\n52047 81845\n71761 90811\n28309 84365\n65368 82842\n26997 53921\n81940 86627\n35698 58132\n27290 89565\n41344 47113\n92487 93045\n74065 83700\n22707 61049\n38499 39682\n11370 36704\n28346 51546\n41530 67012\n4064 17944\n49010 51853\n23828 71622\n35975 88843\n50178 88426\n77126 87292\n579 32316\n16450 46152\n1324 80212\n33147 64487\n71462 76509\n800 79557\n26260 83629\n11872 72503\n19641 96808\n11545 11768\n3607 65669\n18147 64994\n11679 72934\n13818 48931\n11825 88459\n42434 80104\n70006 91335\n36949 80114\n8959 58373\n6870 32188\n66927 99112\n20978 87290\n43057 70661\n54350 74177\n56767 86368\n70338 86724\n62233 69292\n35118 80517\n66725 82553\n59276 70245\n51731 97574\n6629 98284\n39107 44229\n12549 43316\n2000 98300\n33536 95659\n43782 97625\n19656 70964\n6778 78060\n42024 80485\n45814 78607\n5811 54018\n15785 71521\n44953 81807\n19683 95282\n32636 88026\n17267 52303\n34385 95299\n12135 39995\n53959 55898\n11564 14363\n46498 67802\n8562 81499\n66773 99948\n35679 74398\n52329 57610\n54018 97924\n30213 90704\n29803 94425\n66793 79925\n47462 63398\n62611 95808\n39695 48338\n59167 64527\n5125 76257\n29152 56310\n2268 41934\n213 42958\n45192 76186\n37249 80890\n13114 52467\n7712 8216\n11769 85322\n26928 42431\n53728 64858\n19786 49200\n66726 70603\n31225 60996\n24028 78308\n1262 7027\n22996 44848\n35970 43821\n24539 45094\n33171 40170\n17602 59157\n65164 95022\n35224 93136\n91197 93925\n57830 80889\n36578 55755\n51921 86948\n76301 85369\n14587 16968\n7848 59582\n437 90627\n29993 76899\n72502 73640\n616 35146\n14808 25999\n60864 69730\n7192 9911\n91631 96649\n62156 86089\n56307 67674\n72000 92822\n1030 4912\n31076 71936\n34913 57874\n62343 81213\n61135 73354\n42206 54504\n51964 60798\n20746 32845\n58077 60308\n38802 45773\n15674 59959\n40927 44048\n1005 10222\n11847 21084\n8022 85125\n39408 96667\n1830 62675\n5859 22136\n69883 98206\n63369 66986\n18970 34144\n84771 89012\n76274 90407\n28460 34506\n10208 53705\n48535 50141\n75188 80989\n9995 53396\n28360 53185\n8263 8641\n5527 76089\n34892 70277\n10341 99860\n37832 38347\n69222 94933\n14671 54358\n7341 67388\n1329 7207\n2269 74357\n27202 78262\n14338 22913\n564 77107\n20826 73956\n1404 68153\n30623 50346\n5988 86828\n3907 5785\n46985 99672\n39162 51666\n25347 68847\n44882 51594\n37582 57415\n52600 96629\n3253 38582\n21683 77514\n3072 37278\n17498 73863\n32206 55283\n3240 61193\n4793 68774\n14868 16631\n5420 98874\n22444 36109\n23114 46571\n59870 65443\n23603 70467\n29163 82789\n48194 99146\n6267 32169\n3700 69402\n29529 53912\n78774 92125\n56927 65736\n48999 49410\n44644 51365\n39496 68059\n90694 98606\n8878 78621\n7896 15860\n13998 84373\n21462 72514\n46669 75967\n28346 95294\n12109 26303\n53300 72658\n15164 50748\n160 91526\n13613 84407\n75403 76102\n10043 91569\n72168 96971\n43536 86955\n22677 68863\n1635 92567\n72175 80605\n34304 79455\n13522 24611\n7772 49036\n71451 85049\n17195 61270\n48593 49357\n50280 58952\n82120 88687\n87642 94975\n27036 38756\n52865 68944\n45445 83437\n38580 53522\n51456 81770\n32676 32761\n55053 84215\n41309 66161\n33724 61975\n48311 93808\n29585 35324\n16221 35358\n29963 54876\n43575 56476\n33051 92215\n20523 21020\n47501 96204\n584 37004\n19523 53067\n8399 97361\n18293 65058\n71460 82192\n14596 27572\n84330 98339\n57735 84894\n79647 91193\n46477 59076\n3221 27111\n51717 79056\n13100 50240\n66562 86285\n22458 93430\n34276 93728\n6009 32908\n20592 85478\n76215 97191\n49474 98387\n91196 99020\n26192 57284\n8187 11521\n16594 70322\n53208 57805\n53618 75509\n19468 30333\n50992 63675\n37457 95376\n58349 81741\n10987 62038\n55344 55566\n48989 80469\n2396 43686\n25267 32862\n11186 16189\n32666 90333\n20476 29797\n70047 85254\n76825 97968\n628 83189\n32981 91047\n82758 96585\n58287 77028\n63643 90961\n5657 34362\n50480 68730\n49215 63605\n86703 97264\n13948 46439\n10833 81253\n7092 74126\n2216 33039\n56813 57165\n8782 78762\n12625 55102\n39184 72437\n79895 86134\n44627 44774\n26039 38130\n80425 94677\n3525 60806\n25231 25512\n21230 96704\n27515 98866\n62550 84478\n51352 94966\n19086 91544\n5355 79077\n15629 47738\n36060 85579\n3423 8940\n17224 78562\n3231 77696\n78276 83830\n41866 52347\n43240 69322\n33758 78285\n15847 56779\n44472 90779\n59081 71369\n69912 81079\n72822 96537\n25574 52192\n1929 27285\n17422 38086\n41940 67585\n3412 89619\n66975 70936\n44133 62858\n42265 77589\n72974 98403\n82788 87368\n69809 71637\n10527 36431\n23512 94445\n17306 67323\n79777 86883\n30511 96859\n74625 91030\n10399 48945\n38728 93148\n16034 72147\n54100 77526\n89532 97181\n6848 84576\n33377 79757\n43203 75464\n35515 68271\n19289 68084\n16511 50920\n6254 23313\n58755 75815\n25467 78668\n15763 71778\n39438 75355\n62194 62609\n32552 37131\n74319 84643\n12786 53626\n58826 88893\n13372 80721\n52349 78652\n22749 48044\n18647 77176\n80059 80584\n13803 25750\n70529 82520\n26247 77098\n75223 90372\n18355 70457\n32434 67656\n75474 83698\n38335 98844\n3220 69409\n64181 92874\n6280 8548\n65244 85885\n69714 91974\n11411 25455\n84697 85212\n71631 84745\n42288 50500\n17469 68100\n25887 53305\n45130 56295\n39874 49269\n26000 78533\n21589 78767\n24645 44280\n56148 97757\n60311 84163\n25601 68925\n47071 89081\n77066 82416\n21752 83982\n3191 79653\n25527 33865\n3811 72721\n17150 33157\n88198 95676\n16551 33121\n36578 57838\n22127 33587\n9293 35018\n42618 82246\n3341 5517\n6368 24618\n7968 63741\n16549 83410\n7881 90677\n72645 86150\n53356 59945\n46843 88955\n40360 60762\n79939 84917\n3760 26088\n24067 90156\n50686 93821\n33744 71284\n73069 78576\n16154 99112\n48569 59975\n23035 23448\n32591 84677\n18988 30274\n67823 69261\n76163 92351\n58963 90006\n7291 51568\n891 57066\n19287 26685\n55990 86621\n59354 65969\n77127 98246\n23550 53055\n34356 85505\n17063 93943\n51199 89070\n49752 73435\n33672 95851\n15091 70219\n6971 54510\n8948 71675\n62944 68573\n43211 61863\n63611 87746\n11481 27381\n72039 83077\n8785 36343\n35518 43202\n44927 62549\n22540 29285\n2937 74389\n15660 96825\n6707 50328\n84820 96674\n34367 67582\n78443 80034\n91234 92130\n19148 33598\n38718 92535\n47169 77765\n36658 61011\n19412 44651\n63035 74250\n97486 99621\n83439 90652\n12922 36477\n15335 88207\n25954 56889\n1072 51211\n51598 65180\n12657 68440\n14992 43121\n32954 36360\n27284 89408\n45699 65852\n15943 99182\n67275 80143\n33752 60380\n25355 61251\n36898 94829\n46688 76489\n54186 98194\n19967 96393\n2843 36690\n37426 93869\n38376 54590\n32650 37553\n29872 41083\n84924 96827\n12807 57778\n24683 51296\n55919 91977\n37447 86419\n77629 86746\n43681 49248\n28211 32220\n3270 60079\n27159 47783\n26234 38234\n77098 86608\n3239 85110\n35056 80124\n24231 34550\n37711 79864\n8724 91530\n5924 83168\n39090 62879\n34053 86803\n81024 82844\n22220 56031\n45022 72273\n51957 55588\n12995 36753\n42203 90593\n27703 39033\n14833 94599\n70389 77016\n2651 77476\n21741 33239\n9855 48205\n26831 53100\n18229 20809\n7158 13249\n92077 93095\n4760 70173\n20571 69394\n9703 72423\n41298 48283\n21652 39993\n13739 94204\n24381 90493\n62782 79027\n34052 62109\n52594 64979\n59697 78225\n12580 27985\n33482 49656\n39686 85616\n13341 30827\n19663 39619\n22586 77626\n27965 86167\n8756 20349\n16118 48689\n13972 21424\n40312 49494\n8981 91402\n72196 91618\n28562 96436\n51166 53004\n29937 74688\n22752 40934\n18074 64862\n42698 80856\n11551 52134\n7428 19355\n6610 69368\n39833 69107\n57845 68234\n49661 96034\n23488 95897\n10178 22226\n55056 64706\n40390 87376\n897 28250\n53092 84020\n19893 45274\n47249 82028\n17529 42234\n3588 11392\n3686 98326\n13768 96170\n1152 30503\n32585 52346\n9220 38981\n42055 79555\n86143 88318\n70801 81382\n32464 84134\n8641 45677\n34935 38541\n26178 60312\n39647 98576\n4136 17314\n78765 89853\n31796 89197\n29530 79703\n56902 76687\n23687 63907\n53099 62112\n12796 41505\n13135 14264\n94907 99717\n19618 47065\n37152 70137\n34056 59505\n65099 92536\n3440 21218\n38078 63332\n25389 72252\n8761 67532\n5864 88719\n36623 74689\n36532 72065\n14312 81321\n51193 59856\n14560 57280\n78794 94322\n66939 92119\n57707 84803\n41419 93392\n12960 22721\n32874 36190\n6249 64626\n801 99896\n47672 91906\n13977 15746\n23828 70651\n79547 89499\n42834 92466\n51949 96629\n72502 88108\n26404 40790\n7977 9187\n34697 51954\n56368 74791\n20601 50451\n11935 90707\n51018 83110\n78811 93527\n40122 82311\n2849 16938\n57259 93276\n81287 81753\n28975 30519\n22618 67577\n13729 92136\n81791 98674\n68326 78797\n8865 83803\n821 53883\n28778 38440\n2287 13755\n72502 95123\n10725 37245\n30880 43737\n12322 50656\n8430 8839\n64000 68866\n7654 54687\n44593 98957\n39257 40335\n66049 77859\n16292 54546\n26015 37542\n25616 65588\n10936 16832\n35443 41006\n43409 64701\n96978 99512\n11405 53685\n63620 73072\n76287 96678\n33174 57786\n42626 54425\n39891 92651\n7891 92757\n33479 36915\n45534 63591\n44218 45818\n11158 81460\n16764 29864\n7463 29799\n21238 68737\n5776 34516\n16722 33765\n4786 37955\n32802 98845\n36304 43819\n21437 68123\n15627 51100\n80535 96050\n43477 65064\n29219 79612\n28428 69792\n7386 87170\n32615 39995\n72909 79808\n28786 37394\n15005 66770\n12893 21430\n28595 61046\n29825 89698\n24225 93865\n10331 14243\n48998 57624\n13734 66307\n65712 95897\n23629 29596\n72404 99190\n293 19557\n54122 86384\n16425 26841\n62176 84428\n34199 66816\n24983 90719\n77624 89087\n57421 60982\n26041 98290\n41119 82712\n44214 68408\n31146 95910\n12550 93211\n9720 86279\n8115 31840\n12276 61214\n28893 86858\n50041 65332\n12902 39605\n21608 98580\n47737 95111\n57236 73160\n44436 98875\n29573 74562\n77856 89413\n83018 86943\n15581 21795\n29329 91077\n84063 85006\n42596 65023\n5592 46402\n23241 93808\n291 47246\n24241 58015\n50516 62202\n25660 98453\n31334 89514\n20565 84463\n85253 93610\n55154 77405\n75810 80802\n4022 70768\n3924 42743\n29532 61660\n8984 22163\n6009 17368\n29617 59195\n1912 25274\n1877 63299\n12930 24533\n6302 93490\n29212 98641\n65108 72221\n29169 53585\n48814 97146\n49347 85013\n79547 85792\n62927 86083\n18608 76741\n5833 21164\n21799 52170\n4360 79165\n32883 80551\n50094 99840\n3292 31653\n10741 22288\n5642 35992\n24224 79394\n71180 88587\n45504 91093\n9830 13573\n78818 87367\n39514 83627\n94414 97847\n44437 52880\n87679 95286\n16577 77062\n2079 18104\n28893 33784\n88595 90651\n49283 96960\n51738 66064\n73217 75229\n1161 83986\n30933 57108\n35147 83939\n68652 81407\n30505 44360\n33840 75808\n28496 66344\n90685 92931\n33873 56178\n33783 72711\n31552 53430\n53584 95702\n59870 79901\n11175 73230\n9186 89474\n4841 56502\n41507 72094\n25111 41306\n27626 87216\n24075 77910\n74491 94272\n34989 61498\n21629 28990\n51523 83162\n4207 51051\n58981 76524\n18717 25816\n59505 86309\n11172 90068\n51603 63838\n26025 47712\n4565 30482\n19349 56841\n34599 60741\n49847 56747\n66282 82807\n55537 63937\n3404 70691\n15836 74179\n29560 52732\n22544 67341\n6333 11282\n34587 62090\n25898 60111\n49009 83800\n67488 93806\n73429 73692\n18886 92050\n79167 88075\n81366 92436\n17159 35263\n34767 63982\n43918 66866\n12369 65265\n6602 89119\n13007 63647\n33242 61098\n36625 56847\n9611 93586\n52278 97057\n46560 91471\n25334 96206\n69138 84961\n2661 87104\n66256 79442\n29087 38932\n13450 71145\n47982 93441\n4466 28876\n32724 93508\n42197 62557\n10865 55779\n37792 65699\n67422 77470\n41948 47592\n61999 95839\n26238 33992\n75631 96833\n53551 92583\n82862 99692\n31991 70265\n27902 67695\n46184 60668\n4045 4214\n45069 75283\n57147 65205\n85744 96869\n28767 40427\n20318 83576\n948 62472\n54799 68550\n10516 46916\n10906 35266\n82510 94502\n2907 94970\n16847 61737\n31623 77516\n35863 44849\n31284 37455\n2929 96144\n3310 46342\n76952 81895\n46173 68314\n58338 62133\n23885 79442\n55025 94838\n14090 25051\n56136 56590\n41734 73050\n61159 92045\n37104 82738\n225 61515\n10322 44483\n4357 4459\n72562 78701\n54419 76817\n21659 48655\n26520 55820\n24547 48517\n22095 78379\n35097 51681\n26214 92762\n23709 29337\n26883 88479\n69837 99497\n9579 78480\n22642 37253\n2914 57609\n31111 44246\n7333 58049\n13388 14821\n19270 30308\n66836 92793\n22736 36051\n58123 85829\n18740 88448\n20776 55232\n87707 94558\n29939 51689\n7135 48305\n4527 40466\n14327 56844\n24859 49371\n53298 77569\n53600 93058\n35951 61558\n92230 93203\n1448 36757\n56481 62500\n7949 18970\n47962 59519\n43231 67977\n28183 57583\n50797 88865\n44449 64050\n91428 99645\n38775 75620\n11495 75282\n26301 56462\n78721 97623\n16212 24854\n27511 60725\n4605 56613\n30934 32614\n16450 67444\n63166 98679\n33590 35858\n1846 72505\n73409 89521\n43734 59254\n4814 91171\n11822 52033\n51129 59327\n2606 10396\n66716 98018\n26261 70481\n17890 68452\n1785 90417\n21956 26675\n45134 74870\n86700 97838\n6900 38863\n2833 41320\n62401 85756\n33212 84579\n28978 97201\n54795 93053\n60208 65444\n80432 97394\n18775 85726\n11146 45853\n40119 61998\n8125 77393\n54318 67430\n6468 55820\n8509 24337\n33396 43526\n7460 88106\n10286 56593\n26442 26989\n57038 61964\n76690 87905\n12267 64672\n16073 98428\n3528 47619\n47147 89879\n28619 64609\n56743 82041\n30610 60049\n6627 38022\n11473 12076\n54098 96737\n34981 61491\n266 85343\n23760 80951\n38662 63602\n6426 30765\n54150 80598\n59364 82704\n37828 70388\n39010 98069\n50787 98039\n1355 70228\n39476 87435\n25074 38430\n44039 56085\n25208 34404\n32926 70532\n44747 74682\n19168 24933\n69338 99362\n26580 78377\n84193 91200\n6460 51526\n63778 91154\n45986 63112\n22538 46676\n30285 93824\n41227 90637\n43356 74461\n43197 97733\n2969 43975\n211 77305\n29705 36358\n16209 28286\n31743 47281\n92806 95818\n7276 26188\n23856 56620\n6371 58774\n8029 94581\n69234 81414\n24517 79105\n58107 72891\n29355 75033\n6828 86639\n69835 86548\n15575 63895\n63219 64045\n53137 90748\n20039 24774\n30387 50524\n2599 93350\n17103 84034\n31567 65699\n26073 68177\n9635 77791\n50763 55708\n15530 78401\n44797 85843\n28856 89859\n33142 38179\n77544 78430\n18752 85879\n33593 72669\n77719 93674\n67320 96660\n21598 81722\n6898 80216\n26497 85993\n50828 73829\n76150 78443\n56664 89579\n59280 89940\n43662 68607\n26934 42656\n928 44591\n2700 72658\n58527 63764\n29450 63501\n64053 64647\n66141 75419\n47761 62984\n437 31120\n13311 29019\n53308 96419\n11760 24937\n51767 82693\n44754 66980\n78958 93221\n67762 92028\n37604 96568\n75039 85901\n10251 19525\n58988 95105\n8357 60836\n9382 78079\n57624 96681\n39043 61855\n35666 99801\n29790 42830\n18075 65936\n19072 26645\n74658 86248\n37078 95008\n2233 23676\n72242 95971\n19491 54094\n29586 57061\n47352 75579\n29856 83054\n14725 70966\n43852 90422\n33461 37982\n49928 61253\n15474 97254\n29992 36308\n72353 79207\n75903 96889\n33386 91014\n13100 80142\n1060 57428\n39567 71207\n21296 33331\n37328 42040\n7713 75939\n48737 83937\n19379 29461\n28698 70605\n1373 94615\n16485 22764\n19777 65424\n77408 96569\n3544 51839\n26502 63734\n71945 79519\n11593 47005\n52349 64297\n17046 61667\n875 91197\n4633 89705\n61975 90218\n12033 68746\n10924 41349\n56628 86545\n76737 78070\n6478 77714\n74920 93900\n80819 96932\n10462 91594\n19927 38065\n41067 61796\n69449 74778\n23307 85499\n36731 79382\n18052 69894\n54657 77175\n26509 72555\n5531 7531\n71430 76154\n60057 94100\n6270 26235\n17617 57889\n47230 49959\n27032 99327\n25260 88753\n13438 55036\n84822 90145\n52520 58157\n23803 36932\n37953 54460\n33817 72772\n22554 82293\n28064 84769\n5166 84531\n56108 59233\n14317 61924\n17434 91917\n17106 80726\n8472 9657\n48799 88806\n6398 20133\n27782 35072\n13887 94217\n21207 40911\n32229 65748\n17004 73400\n12051 27264\n10752 69743\n36532 43301\n35148 39773\n19807 44307\n43673 71679\n23759 57022\n26179 28524\n32331 36601\n63828 71541\n20251 57427\n38690 48884\n69829 83877\n63723 73573\n9616 45249\n23976 67065\n5549 64407\n75021 91693\n6649 46539\n67514 95470\n1710 93576\n26453 31997\n74721 78370\n79327 79722\n46579 52451\n62593 64499\n38285 85675\n27323 75188\n64 62876\n20714 22199\n20324 69915\n36928 87105\n1709 98716\n13736 72939\n16761 42767\n29819 47330\n57473 80526\n27520 65491\n1572 57527\n13680 71580\n27850 69107\n12188 31736\n49498 77607\n70559 80642\n31300 75770\n55081 79221\n28522 58927\n32708 56256\n7758 71584\n47433 83298\n28429 32299\n2782 59175\n15524 61322\n829 12787\n9713 81019\n53577 94629\n39485 97215\n46880 90039\n36072 71275\n18257 27612\n21793 35401\n1 24711\n52114 85434\n41991 60203\n37274 71629\n1843 98224\n1036 6453\n56082 97456\n39116 55115\n48884 62019\n65618 72495\n15145 27898\n88121 98172\n29849 44782\n46798 68567\n95862 97360\n33171 58378\n47337 63783\n36736 84972\n27101 29391\n26256 80726\n46183 59424\n16719 57632\n40086 61808\n19344 55417\n40475 53118\n8222 69025\n59123 67954\n82438 88651\n25109 57342\n79275 87078\n23335 94959\n28494 59776\n46030 83155\n9046 23919\n52775 89022\n36506 55777\n19527 32056\n17034 58107\n61655 89400\n10941 48260\n30345 39797\n24769 79025\n1711 60460\n53115 59673\n34751 75187\n54475 98403\n67142 83297\n46697 54459\n44785 45410\n37598 45175\n14128 73075\n675 31116\n9232 99259\n44321 98843\n2165 61033\n26397 77002\n24783 60797\n2004 99248\n26188 87245\n59660 64266\n15743 48190\n36316 69750\n26700 55277\n13997 25080\n693 9863\n23969 25348\n78673 92771\n9607 78934\n37607 81006\n25229 54429\n23457 80560\n28412 38000\n67896 92031\n25457 86796\n53594 86216\n24088 43904\n29084 62070\n9868 73387\n25069 47492\n49295 73632\n27829 71458\n35564 43000\n45689 47379\n16476 19792\n44919 58146\n78562 89025\n28539 78799\n45542 89346\n25386 34040\n10086 75831\n19136 34610\n51260 80313\n26323 66122\n72693 92937\n63928 70874\n5400 95413\n10074 17721\n22951 57571\n21473 38893\n3236 96804\n20023 87770\n12985 46951\n30385 48902\n20068 81454\n27146 45683\n19629 91753\n5713 50777\n2576 40947\n37466 91301\n46587 79029\n29814 75374\n44499 47999\n84785 93389\n29619 58022\n50133 80266\n29992 59238\n18626 31438\n38291 98424\n32901 59351\n17298 68056\n28732 41425\n38246 41844\n25255 85698\n84289 99267\n15061 63311\n19494 99180\n57235 77769\n32163 87563\n49363 93246\n31609 67732\n70977 88395\n67441 88753\n16958 95860\n30191 74394\n44485 46644\n35477 51073\n36411 72136\n15363 69467\n21541 50631\n50050 74303\n1751 56995\n8688 87552\n35494 77926\n3220 39718\n22485 30948\n16715 32487\n24356 64185\n17992 26300\n67859 73071\n50580 59616\n10131 62501\n4890 27062\n52522 67326\n39227 94868\n35242 82711\n48055 86281\n85687 92274\n67377 68658\n24440 65969\n53190 53566\n59029 60168\n55475 68546\n14747 85310\n37661 60870\n63877 88212\n15206 28120\n29858 34271\n35246 68490\n64630 68074\n20314 29122\n13505 69535\n10085 56348\n21454 91491\n54642 64392\n7946 67286\n34937 72818\n25671 67989\n9302 31550\n11029 27055\n49624 69444\n56098 82995\n23987 80725\n33478 95373\n40823 74124\n52648 67494\n13066 45744\n5409 17065\n37828 89639\n11320 43261\n21 89888\n52289 72444\n51282 76985\n34119 90896\n57217 94673\n75023 86844\n94478 94919\n86931 95944\n16801 72962\n38512 56879\n11110 86893\n23886 53899\n76693 94850\n71128 91127\n30881 65506\n13509 30210\n53080 84327\n27061 52282\n8373 94964\n2960 53182\n6657 40877\n63930 64239\n16193 17408\n8187 39041\n17793 53252\n4184 20900\n19158 88134\n39660 77319\n43125 45513\n44700 50780\n2290 27985\n4309 6038\n29305 71408\n60622 67928\n13361 94056\n4199 78110\n25597 49042\n19528 98876\n82098 87967\n11383 78442\n48353 97190\n2659 56999\n65289 81073\n13174 47936\n25136 31932\n48497 83028\n59510 81040\n18173 48121\n19660 20828\n16264 79602\n16339 69743\n34237 87056\n51128 88543\n14324 63850\n9855 73234\n674 91161\n173 89632\n45664 97386\n25038 61001\n16779 54799\n1655 25662\n6624 12686\n51420 69433\n5613 32316\n42023 67938\n77243 94505\n89206 99353\n10149 99736\n37875 58462\n24326 40881\n30758 38800\n1227 6200\n91571 99802\n768 32712\n19400 56222\n1725 37179\n53073 83322\n29203 77168\n29095 61035\n2754 19137\n64294 75291\n24794 98041\n37215 82573\n32702 36592\n87593 89893\n28 65513\n6346 37225\n39124 60022\n22914 42664\n33198 70844\n10553 65800\n46528 62954\n69532 95911\n23186 59065\n24142 97838\n32741 37295\n6093 80729\n27340 86594\n8313 29698\n33170 64080\n5861 92270\n30682 67215\n37948 62966\n13400 85949\n10015 90325\n30067 85768\n21600 44200\n71270 82145\n52281 57487\n17894 51847\n34313 84962\n50569 95171\n59255 77318\n32450 83860\n19200 46575\n29212 75720\n9997 53411\n2072 26159\n29057 53872\n1155 75789\n53359 92247\n29939 81229\n47927 99948\n1694 7813\n3706 52148\n70946 79074\n17604 75348\n14564 69949\n7990 53004\n56504 65044\n28745 47601\n18821 82281\n23768 82009\n16408 21678\n1132 49956\n16772 23211\n23775 80333\n6056 79048\n69889 97116\n25986 69382\n53851 61770\n13364 51260\n76376 81581\n69823 92813\n31800 74192\n66387 70911\n65020 73343\n57919 68100\n22456 66923\n64890 73999\n6654 56081\n31583 64513\n43120 46486\n4053 32323\n89634 94033\n50456 91633\n71099 78185\n455 1071\n5517 33504\n11681 12455\n41981 69328\n39908 96494\n12516 17593\n282 27547\n20617 36243\n49000 76026\n12129 38324\n77385 92071\n24639 44482\n11250 52651\n9076 52433\n89844 96684\n64724 74927\n16843 99261\n3361 55630\n14302 31038\n38675 75427\n7579 40647\n14517 78210\n7522 47286\n24067 72821\n45568 88100\n87218 89539\n11630 95183\n29266 88960\n23287 65777\n7525 93177\n17626 55566\n49962 56233\n10705 69646\n2586 55846\n1858 79801\n24615 37703\n15701 73260\n13233 82366\n57801 68640\n20208 91357\n13183 83657\n9626 75445\n9959 88718\n69669 80578\n54147 63677\n79653 92086\n13107 16976\n52207 72347\n11551 89710\n14233 55601\n21490 24872\n9736 18814\n66428 75638\n48986 50735\n63466 70625\n15956 71720\n35185 64380\n24845 68739\n12862 90763\n8423 29720\n7068 28276\n53184 94670\n12576 19017\n18695 47879\n12724 67248\n7723 22295\n13741 31231\n73762 81441\n10576 41140\n26035 28938\n23823 84679\n5067 30005\n9723 51877\n88403 99746\n27592 94161\n2437 18168\n22318 31232\n28483 72988\n70073 97520\n58840 73641\n3032 14113\n72580 75449\n45022 77548\n13748 75084\n9154 60228\n70023 82099\n49597 72939\n36119 85742\n10626 75956\n15934 81451\n3409 97915\n70391 92434\n11564 96589\n40238 73794\n25385 58272\n97618 98191\n16842 65553\n86134 92236\n15651 76105\n50054 67500\n24352 72470\n77439 88349\n71339 77590\n33461 36459\n47859 77886\n11336 42796\n38834 71950\n12903 46181\n73499 95207\n26323 85971\n75288 77366\n17622 30630\n49339 75813\n2426 34473\n18316 84952\n45161 94044\n10942 36742\n28827 80528\n37347 57513\n26286 79210\n15436 42800\n946 12969\n29212 44925\n2222 54656\n66080 97752\n5593 41949\n22265 45548\n38870 51391\n32793 84222\n35848 68753\n10088 18315\n39899 40594\n1006 70443\n84138 88979\n9476 44365\n20490 56312\n13279 45408\n56119 94005\n3415 87413\n28902 99713\n6766 79220\n12420 38156\n21220 83086\n56233 65679\n18536 40494\n68219 76896\n20147 35160\n77010 79193\n14109 56812\n1019 31430\n13084 90422\n26754 34175\n28232 57371\n27851 96011\n39657 52260\n61979 81337\n31523 33498\n29923 85919\n31561 76227\n41123 51709\n11528 36034\n57166 96095\n72245 90812\n69178 96967\n48939 61820\n11626 26639\n23791 27017\n25956 41469\n24623 73435\n84973 94954\n24278 91649\n11810 50641\n4247 84102\n10240 33991\n68391 76329\n40225 74401\n2372 46157\n39652 43103\n5752 76919\n3542 83992\n2616 74550\n4502 64060\n55669 65141\n54900 76996\n42816 58219\n15778 65954\n27560 90225\n76182 87172\n9763 51138\n8081 64424\n52284 92979\n22546 60148\n13045 14354\n56512 91314\n24325 89429\n34578 55376\n26708 94398\n1240 55165\n9170 66390\n6214 48852\n14255 91317\n49094 96320\n37139 91168\n79912 90318\n21000 76382\n78807 86030\n3819 27330\n17846 22518\n81494 92859\n13600 48118\n31140 65957\n5183 77756\n26447 36576\n10913 97377\n23409 84301\n38058 43969\n2618 41492\n48112 69602\n13309 17273\n3998 34293\n38811 94731\n61943 72056\n5228 77681\n13584 59741\n25694 55414\n38520 42376\n9891 20856\n52123 85316\n13310 57042\n78590 80955\n93415 98662\n24838 72379\n21871 30987\n16843 77291\n51544 93186\n26036 67149\n13972 67452\n70892 86162\n40974 77050\n72882 95354\n42446 88824\n10422 38442\n33266 96046\n24771 92781\n5734 30319\n10341 75686\n6544 42713\n58647 82325\n41127 49091\n5362 81908\n84632 90177\n39749 39796\n20323 82883\n19664 33267\n6954 40540\n21172 82545\n36647 73633\n31655 63495\n14557 15491\n3362 77944\n984 65039\n25293 71700\n9155 64745\n88118 96776\n50808 85067\n34777 97437\n3124 5568\n6104 72524\n41241 99785\n53309 99494\n2291 8740\n79005 86252\n170 33038\n958 83552\n43453 76695\n36218 45993\n69236 75611\n42400 80063\n49504 73057\n4362 6600\n68000 94117\n71747 89160\n50311 81708\n27394 67383\n3740 9969\n4564 91669\n14572 76161\n20564 99780\n21831 22779\n86103 90661\n4597 36588\n12566 50547\n17227 17621\n33845 67712\n45422 47283\n8176 53349\n10207 39208\n31664 58432\n75174 91886\n42206 66161\n41701 65295\n33588 76276\n56471 58105\n68140 90188\n52173 70174\n6336 63433\n52704 63909\n19325 62263\n13961 88107\n5468 75111\n73255 85862\n7991 65862\n2359 72469\n3607 7450\n48352 63520\n8445 67854\n35866 38372\n56884 66847\n17161 91875\n16751 17240\n77878 92938\n39794 75010\n25491 36353\n45734 52794\n14305 24252\n65583 82125\n44619 61516\n40224 50079\n28353 28849\n2937 48041\n16835 30273\n31026 45671\n47653 87075\n20162 62500\n49275 69744\n60800 70464\n15709 82695\n9288 72738\n59595 71059\n16595 24379\n33347 98005\n28609 86145\n3192 72163\n48068 80824\n10710 15127\n13202 88955\n25346 70094\n21344 72990\n42968 82827\n35241 77445\n83043 84585\n23245 99301\n80827 89748\n68291 73525\n8651 77304\n12831 24705\n52157 58733\n7107 84629\n2342 87747\n19588 87247\n51201 66589\n31427 70946\n3555 42250\n15135 88790\n14883 20805\n57899 59808\n22266 35471\n75938 77616\n14334 59579\n68487 81382\n8899 54597\n66472 81230\n80286 88084\n54489 96358\n28441 60399\n13108 52455\n35567 76001\n56753 74466\n2246 7142\n65005 76443\n41599 75304\n64144 65808\n32151 74170\n41388 70104\n13412 79009\n40197 60558\n13318 36794\n2368 58194\n67162 69213\n53890 83527\n84627 89966\n12425 89479\n18617 88776\n10689 55904\n28965 49380\n16129 27880\n62513 83214\n1831 42506\n591 18621\n8686 51151\n12113 28314\n3570 69505\n34077 81743\n9888 57351\n31453 51021\n34454 35666\n46548 86044\n71017 95603\n7322 7711\n59588 95606\n1179 15496\n34091 66313\n21864 92579\n43371 84928\n56444 94086\n66739 89075\n26762 27922\n59499 92384\n36250 63247\n32622 64434\n17963 33793\n21982 88957\n62163 94806\n52919 77513\n45928 83186\n18964 72703\n45903 49319\n32483 33395\n18642 54778\n4749 48934\n44851 77267\n23567 31003\n93067 94447\n1542 30416\n2833 59782\n55961 99890\n22770 74577\n44777 59360\n28605 94152\n56804 94995\n15360 92321\n60362 63340\n17154 93578\n30607 86102\n72440 96967\n13459 39397\n25474 39411\n66100 74035\n15404 63757\n36284 65767\n37466 65085\n7537 47558\n3093 95792\n35309 65619\n34901 99142\n692 55757\n38936 74496\n66123 85426\n56836 63420\n32367 93317\n3724 48641\n45905 46927\n90762 92494\n75525 90943\n16778 99807\n15909 88091\n2829 26169\n47731 76362\n19757 99527\n45078 54478\n18250 62778\n27021 94932\n4124 56502\n47942 83952\n70257 94644\n1067 67821\n42898 50929\n24901 35580\n23856 60828\n9523 53678\n3088 51613\n38172 96244\n14643 49975\n44436 45922\n2699 35744\n11159 42556\n48649 57900\n40633 78413\n28369 60136\n15372 36581\n78028 97445\n40039 64058\n44106 60760\n47368 96412\n6990 89631\n4890 27119\n26067 57010\n48418 67119\n70503 96660\n26870 77935\n67285 96134\n42087 44136\n38347 60714\n22047 69314\n16872 39571\n12958 20014\n77926 80047\n39105 94725\n25923 30416\n34442 36412\n35684 40944\n1793 19489\n2112 73086\n37620 63272\n41004 44778\n15874 21039\n20869 24053\n9865 21343\n20467 59188\n1894 79174\n28828 89108\n7760 58290\n62008 94197\n62119 98567\n75922 94136\n12137 56247\n16695 53595\n14624 59563\n52888 80130\n38712 79509\n73454 93568\n23163 81346\n10468 65280\n10184 63783\n60142 96435\n1310 69136\n52197 58477\n89327 99364\n3025 56634\n11340 53192\n20481 93160\n44491 99435\n18967 48470\n44523 89848\n70752 74596\n9505 57541\n6656 75652\n13006 45994\n14930 88986\n3908 28148\n52196 88623\n26323 97735\n24806 59864\n34178 86137\n79783 93574\n43396 94894\n21848 92433\n71783 92546\n70570 75905\n9490 69954\n17344 46445\n64405 95614\n7933 48603\n26239 94274\n31425 38003\n2781 6375\n43468 86656\n68880 79458\n69686 86666\n13303 96672\n27549 74873\n54320 76250\n46663 80330\n43966 81660\n78732 90768\n3177 99769\n935 50106\n1887 62776\n52338 71027\n28823 63873\n11365 97659\n20234 33473\n10773 67797\n41596 53250\n4611 59142\n64851 81356\n31107 73340\n2673 55914\n55964 84748\n83113 95432\n43530 54414\n44571 75860\n34355 96415\n56484 65630\n10899 62388\n44547 47934\n1757 93124\n9693 50865\n65914 98753\n15809 74509\n16814 67663\n23389 35824\n72529 84761\n6922 72010\n49847 77139\n23025 94908\n38392 44217\n11284 25607\n30878 31306\n27479 29755\n2445 95085\n37068 38671\n29109 32997\n17320 38999\n60009 70469\n45355 81575\n54100 86519\n11470 57744\n47306 53969\n55563 62503\n16789 71205\n27035 81845\n26445 81675\n34308 51349\n1400 33231\n32907 75373\n12834 67694\n22802 88762\n1996 8678\n41500 84838\n34994 62454\n48303 92111\n84937 88479\n8710 23577\n62233 63304\n34869 92141\n7099 28445\n45309 91873\n33843 51547\n2671 80970\n10765 61817\n1916 88236\n29909 71050\n58607 93397\n62738 95310\n41013 48681\n269 62820\n37993 81700\n28408 44945\n10364 85680\n41722 87456\n10354 47807\n54571 58832\n25009 70882\n24963 40534\n57273 97856\n7202 46128\n28279 85369\n55621 75166\n13219 75784\n10705 81297\n27136 49300\n4369 21534\n18536 53681\n51911 59047\n19917 71391\n73306 73975\n11962 86439\n24832 35909\n5619 96999\n2673 66355\n4860 42179\n11680 45099\n604 68710\n1354 13033\n79479 93967\n60373 66503\n5854 31832\n68786 99433\n16760 64574\n29433 80143\n86902 98438\n46467 60817\n148 46644\n39399 97825\n55771 77121\n2023 67217\n27413 48453\n37819 78157\n72803 82424\n41126 65282\n11074 58611\n6831 92072\n11736 45453\n75196 94398\n77698 97295\n4193 65404\n15383 27906\n28912 42310\n89006 89318\n29490 59848\n1414 21552\n26301 69994\n54830 84511\n842 86396\n64060 65303\n35853 55868\n17018 80227\n1444 7292\n54274 75810\n29053 93052\n35498 99898\n25137 45953\n11894 45340\n41833 90710\n87592 88067\n44915 50905\n16335 42132\n11667 21706\n23481 96696\n61762 79510\n12237 24272\n41309 77046\n19440 74959\n25712 74093\n13358 34357\n5279 93874\n7864 38952\n23329 37676\n14750 18859\n48752 97490\n24053 84092\n30073 40287\n17287 60176\n32841 70084\n78270 91954\n51493 80341\n29859 85416\n9184 41266\n32140 40883\n59774 82740\n9559 19011\n32609 37691\n2761 83065\n49794 90165\n26242 94458\n5362 55884\n15720 22553\n18084 45314\n16283 20200\n46192 73129\n56071 88799\n1009 53898\n62653 70267\n4367 80988\n12859 14547\n26747 40484\n59513 87054\n8690 26977\n18607 93661\n77145 87260\n76787 94482\n80625 80903\n31626 35490\n48074 82354\n34566 65519\n26482 68149\n32145 44987\n25749 50753\n68053 83195\n5485 70648\n7838 89963\n37385 57119\n21191 60633\n44152 76857\n19409 25942\n69382 97557\n20545 40694\n12550 53146\n45285 61300\n57508 80935\n11792 70110\n59338 90409\n74545 95979\n58703 86288\n10523 70467\n7943 9592\n48362 71121\n40856 67508\n42895 98190\n64526 65933\n24037 98817\n45347 75143\n9286 60301\n16441 94354\n78928 91407\n37117 96512\n46259 96189\n27277 89533\n3685 78622\n70848 85889\n4279 75680\n1829 8013\n3504 29138\n14490 53899\n5330 59749\n5846 27615\n53580 84054\n44338 93841\n6165 10225\n46737 99992\n49580 65749\n5713 49939\n67631 75518\n14612 97484\n52173 83983\n23387 41570\n35868 76417\n22738 72395\n2141 68883\n38241 65860\n23265 73780\n41965 48683\n26251 47342\n7608 82562\n19751 67547\n80379 91784\n6635 41134\n4426 66980\n79672 93859\n11096 61967\n14161 33804\n86246 92761\n84613 90748\n47932 50191\n6298 24518\n53808 59453\n21207 51355\n34598 63130\n30906 86190\n652 80698\n53734 70018\n15265 53281\n69421 82756\n58177 87704\n37104 58688\n47165 65485\n57307 95831\n30083 82732\n14719 61290\n64063 72693\n8419 12234\n41490 95592\n25821 61150\n17441 39317\n75124 76632\n24794 66925\n51226 63311\n95188 99213\n19880 58013\n12323 85229\n40690 52841\n27275 82254\n6104 72325\n20399 36764\n77541 88630\n66029 90767\n14286 84723\n73591 74924\n45623 54738\n54268 85606\n92008 98722\n1134 32607\n68163 77463\n40075 61754\n49160 98533\n48904 84206\n47012 95220\n53234 63307\n9466 33138\n37864 92419\n73150 78212\n12786 39547\n13851 14900\n50388 90575\n58591 71885\n41424 60371\n74998 90841\n45654 49260\n66719 76665\n35354 51442\n13471 42028\n17390 63436\n3493 22337\n49721 78775\n3312 73299\n11561 97105\n75128 91491\n63309 95273\n26774 80143\n3528 26437\n3294 21350\n24084 90510\n56632 74374\n1265 68201\n69908 97167\n4070 5370\n38422 40879\n48694 68585\n18182 58627\n20558 98637\n3733 41165\n13319 34213\n47836 85948\n31779 54353\n12516 98585\n39845 50595\n57322 63638\n41688 43222\n37715 41571\n8271 51057\n59863 80439\n41387 60348\n1308 6493\n28562 29126\n31705 74120\n43686 88104\n31420 86092\n67237 76403\n19582 55562\n70589 72561\n40334 50619\n63672 66177\n5961 36198\n42767 45291\n1907 93728\n63854 75060\n9582 24611\n16463 30186\n52920 63198\n47232 48790\n14767 76825\n14184 68432\n53366 69704\n16211 85432\n48746 98081\n15854 73468\n14343 75539\n111 13448\n9287 11386\n591 4864\n60562 69391\n44787 99345\n14095 95108\n31335 87508\n34674 93127\n81991 97878\n37224 77808\n16009 81012\n24733 38169\n7615 43618\n36537 47080\n39891 44504\n67957 94179\n9854 30558\n32279 65231\n7273 69406\n6500 75539\n82265 99264\n84707 90038\n29610 69554\n66960 81368\n54778 73234\n30520 97108\n65005 67112\n20367 73290\n29981 99164\n66403 99162\n67990 79842\n21225 58315\n39245 77094\n22734 99876\n17100 60942\n41962 47258\n23183 89503\n21521 87463\n9203 13654\n93058 99232\n44438 62852\n58827 96610\n24835 26698\n38480 92133\n48570 87505\n26810 97051\n12375 68768\n33432 55950\n78600 92621\n11263 31805\n45159 47657\n44307 80160\n52897 71025\n16975 63969\n47777 71999\n29430 65717\n40604 67863\n35968 55106\n62084 81225\n64770 82479\n54029 97498\n43354 80470\n17436 29382\n38846 58337\n66479 75543\n28461 37049\n71694 77131\n18231 53069\n1766 81223\n34406 98723\n14464 19912\n10819 14154\n3256 31603\n66248 88415\n60698 70809\n49507 74077\n35045 86814\n465 6586\n79641 87838\n13002 30779\n21897 22968\n37451 72530\n24115 69496\n6623 74963\n72844 97628\n43499 75897\n37676 80896\n1556 59353\n2769 98150\n50995 76665\n20179 39919\n10676 61364\n57282 70570\n11901 98638\n61035 82517\n3595 18371\n34829 36429\n6408 61306\n30848 72123\n75184 94914\n11234 24584\n4385 37438\n41309 41696\n80657 81262\n74757 91796\n41462 96996\n20181 94942\n6237 68161\n93273 98622\n71951 83710\n5282 95053\n34450 96502\n3379 96881\n29072 68298\n8209 17741\n30282 89114\n27057 31507\n69317 88606\n24886 74022\n935 70069\n39888 83661\n61550 79415\n6091 25189\n36597 81504\n29685 45969\n76099 80085\n6503 43266\n22370 54662\n33275 58160\n35841 81774\n57458 85708\n28435 64456\n881 81983\n14815 56522\n31600 57041\n37698 59350\n14101 93996\n36816 62631\n4615 98030\n8191 63660\n34946 59910\n46949 58391\n4865 43137\n5781 36358\n22095 23325\n18961 74604\n41112 68138\n45714 55018\n32310 71797\n34123 86649\n80947 91027\n23674 92577\n6370 89567\n76406 76849\n7799 20662\n1404 84766\n4008 44487\n95763 99944\n88390 89158\n25015 59575\n56789 95011\n2936 43185\n75602 91653\n74171 81992\n85857 96812\n6456 94321\n2230 79621\n66583 90223\n12697 76074\n12991 97605\n24986 30969\n39611 91473\n21063 31670\n17048 94333\n3341 44597\n40776 89318\n3703 51743\n1197 92995\n79217 87572\n46886 62874\n1946 40277\n251 57949\n33548 71277\n44655 88233\n30598 48254\n16908 37769\n5829 27288\n55808 69847\n3369 51395\n24004 96626\n41359 74357\n92325 95440\n52523 73459\n44613 61864\n21257 65398\n50793 55077\n33285 49161\n69995 98661\n6333 77285\n54930 93663\n92157 93507\n33829 65721\n49270 89852\n20664 60000\n15131 39736\n24907 82224\n82553 92321\n25372 62755\n49622 53239\n41034 45179\n60060 62429\n28832 65643\n10334 41492\n14035 71707\n42934 95499\n5371 64176\n30093 89141\n10036 95012\n32446 62426\n14992 25350\n2803 34677\n8537 58828\n60419 65671\n45576 91808\n22716 44980\n9276 52118\n27306 93453\n34226 59924\n45651 60158\n2495 82377\n14325 85212\n51071 85229\n3058 96150\n26358 57609\n22426 33079\n43662 52792\n74510 95927\n7440 62842\n13065 83257\n1123 42904\n25476 41378\n10698 43820\n20994 98638\n41114 93914\n7835 56512\n3678 37894\n16436 59128\n51936 70124\n7311 24988\n43251 50779\n74134 74145\n6505 83967\n52677 97193\n30309 53503\n72012 79253\n9543 56370\n32684 64299\n16213 31322\n5251 12446\n52799 69907\n89491 91163\n17487 22970\n23848 54943\n39535 47804\n31577 49674\n10934 68124\n53489 75801\n79576 95114\n2005 63843\n31673 39309\n51508 99688\n28442 80596\n4551 95380\n16137 55765\n19622 43354\n22346 36491\n3492 83219\n68991 82223\n67678 74047\n44403 56929\n12101 54452\n29838 66499\n16436 41242\n46304 73717\n65541 73452\n50786 91085\n23089 29948\n48306 90838\n36754 77101\n75826 81584\n10912 23143\n28511 51299\n12298 97198\n13775 89806\n53687 90896\n45817 54156\n22610 91403\n36212 97929\n80466 95175\n31728 42545\n43984 98720\n53054 80885\n40836 84744\n6595 50355\n26165 33796\n10443 61464\n46639 83603\n19944 30648\n20107 56940\n15380 50785\n30076 43559\n6722 81340\n32855 89159\n45860 61408\n33790 57932\n23638 46715\n13880 21708\n11803 55147\n36263 92374\n51403 71453\n2133 74603\n12471 43285\n21809 93799\n11020 91448\n71337 72626\n20144 66670\n65326 66546\n93699 95192\n25680 26092\n56780 64467\n56767 70042\n71771 99145\n64511 66246\n287 66033\n55382 86027\n56141 64674\n10538 33870\n75540 77779\n5780 29458\n2449 52255\n29892 65561\n57372 71502\n42641 52372\n52714 69189\n77839 79915\n37085 57335\n54359 66536\n71145 95922\n40020 59062\n73139 85800\n81415 87740\n30425 90724\n4521 99163\n33012 64721\n19633 97342\n29850 69418\n9239 65614\n26051 30906\n12650 67557\n31377 91265\n73375 93584\n83523 90790\n6364 82185\n70 91324\n17206 99794\n13132 32546\n3633 74265\n24570 53421\n2067 31413\n70503 92504\n59469 78988\n59526 89455\n66544 85183\n37410 67134\n33708 85973\n42441 85737\n63363 63686\n55182 61325\n16047 79714\n24853 48604\n972 1681\n33688 75763\n48799 59671\n1216 13622\n31360 40600\n23149 57361\n15855 93376\n17533 95068\n4758 72854\n7174 82891\n15738 94214\n27221 33224\n25077 72698\n23285 31234\n476 11836\n6033 42597\n12234 42181\n24309 69807\n5850 39238\n33006 91227\n75331 75925\n22192 22301\n44163 58160\n26715 83378\n28811 57446\n6371 46917\n19469 20998\n39405 44125\n97668 99002\n23361 95619\n8704 98727\n1377 71763\n13454 94515\n78628 87739\n69914 84729\n38651 42978\n71100 91816\n63387 89797\n14385 36346\n48308 68317\n7048 13624\n16014 20426\n67001 74433\n74831 96664\n8925 36403\n3427 49748\n89133 96044\n74226 99992\n18308 33065\n18090 63821\n26696 33391\n1379 32673\n6307 92587\n67697 76048\n13047 64174\n5043 70811\n33562 62552\n17625 76214\n91027 96135\n4128 40471\n10973 41207\n25244 56920\n75350 84408\n17707 83831\n402 25860\n9668 66869\n42087 57596\n55586 81658\n95127 95638\n20105 86521\n4890 14456\n47172 59235\n8312 98991\n26413 91624\n4624 19492\n44372 93972\n31961 66070\n54639 98642\n32597 35754\n50006 56663\n27418 64440\n10088 82650\n10892 59448\n46174 50169\n20912 81304\n16307 60852\n10211 32875\n77528 85471\n5781 57729\n6282 12328\n58816 89412\n9768 92240\n49816 75039\n3306 48995\n31768 43479\n12115 85165\n3778 5827\n9923 53370\n7425 9418\n11702 45896\n47916 64502\n57788 72454\n48955 87585\n4550 81815\n18432 66541\n32327 67284\n11329 24295\n21390 27769\n25493 83884\n53292 77901\n33379 73535\n35397 54486\n357 10725\n5575 11667\n38754 98702\n28261 83491\n5029 29261\n26741 45144\n56402 78558\n20414 28202\n822 67330\n52445 76953\n57338 92575\n51536 98093\n19590 98469\n68062 86720\n4301 61313\n72291 91419\n89518 92659\n18661 70773\n78525 95698\n44486 47256\n57955 81430\n25166 65184\n16135 40258\n2815 22672\n2360 58321\n39841 98740\n22853 99574\n41568 98610\n27269 87557\n25231 58537\n19325 38499\n58300 70428\n27419 33728\n66794 96930\n61755 67908\n1589 91081\n36163 69973\n66392 69123\n92038 96565\n38483 92169\n2740 12908\n11476 26198\n35170 45844\n26206 45834\n4328 14640\n14043 25086\n10254 20652\n30198 99646\n52504 79302\n8291 14409\n43156 71286\n43097 89838\n20864 75962\n11676 12556\n60102 84241\n42363 46467\n52515 80108\n861 59894\n9309 49831\n53267 74360\n19825 39883\n4192 98385\n31693 52197\n15474 69271\n27768 33803\n58049 86436\n56715 78353\n45343 98430\n27405 78671\n4214 78936\n44705 58447\n70163 92192\n1171 55661\n10601 31367\n22346 81488\n70887 91562\n10969 99719\n22661 42936\n45973 88895\n52656 90749\n71634 88692\n58852 87305\n3754 22615\n17419 34665\n39771 61831\n17462 29866\n6543 28273\n12339 48909\n22703 24015\n63531 71869\n6440 89216\n38814 61689\n11042 31593\n64449 87037\n52762 80089\n464 17032\n8500 68489\n67362 68216\n56298 75770\n77943 81460\n13274 85136\n43478 95219\n10315 85279\n48145 78337\n7590 24106\n12391 85662\n52352 64183\n62326 86413\n219 80683\n11682 97520\n35258 91616\n29512 57863\n31995 94614\n33365 99464\n15410 81787\n40449 60763\n27051 88632\n12527 21322\n49928 77313\n31620 67333\n75765 94362\n87769 97452\n64399 81037\n13617 75815\n23494 42479\n78901 80294\n56752 60166\n23352 39342\n9482 96226\n34369 92898\n7282 99834\n5554 54368\n67013 70812\n28418 45972\n61745 76463\n10503 68359\n23187 90556\n17891 22679\n13443 36509\n22416 98192\n26848 39284\n28592 53491\n43690 60331\n6894 48673\n10684 94028\n76382 81704\n38776 96670\n39453 56817\n25442 36077\n40253 83306\n36925 79832\n10651 18837\n19823 97340\n41657 81520\n75289 85980\n15843 36060\n6606 7849\n13030 41764\n44819 46742\n49115 94793\n26322 63435\n1140 93180\n300 26155\n38954 67608\n22493 77063\n60330 99342\n33372 38285\n27243 59503\n28926 81087\n68588 74628\n25154 89392\n35082 58467\n4108 7419\n62760 76035\n18188 34526\n72772 92440\n2655 59764\n12681 91940\n65060 79846\n49020 61667\n41426 99938\n83804 85290\n15805 64256\n5518 44583\n19899 82015\n1608 96882\n34338 41755\n3109 55868\n71472 85414\n28663 32576\n455 18601\n9069 67452\n36796 49016\n91128 99142\n44429 78790\n82613 94965\n42567 60701\n51617 60692\n36214 40704\n82799 83007\n37584 70779\n25632 96238\n24747 63098\n55655 69007\n2591 45873\n11301 98100\n20723 33120\n30772 87630\n17737 90897\n31699 41102\n12777 90557\n13304 80893\n72071 97517\n85 80492\n14393 86250\n12877 62104\n21262 68718\n15689 68434\n33331 95581\n22279 63451\n46719 61251\n25330 56443\n43742 61497\n2934 78635\n8166 94974\n34728 43081\n37097 93311\n42855 43494\n49410 84134\n21716 29440\n51201 82722\n67755 82828\n9312 21957\n16160 49468\n33841 72138\n56338 58918\n16006 66510\n23173 41355\n53384 86370\n39590 94593\n34379 92154\n56662 83649\n3167 72923\n8693 83809\n34480 90149\n11884 55001\n6635 35359\n21917 83311\n12556 15893\n21674 44774\n35710 91782\n71155 83821\n26193 96697\n16488 61557\n55072 57859\n20372 63073\n71316 85625\n32231 43064\n41343 75913\n547 15570\n17467 75276\n42702 57062\n60643 90263\n5387 30454\n8023 82243\n41467 89522\n46958 96861\n48999 70634\n61458 79961\n8580 41927\n4931 54266\n19821 73640\n12911 39822\n59038 87231\n57782 95759\n17193 80601\n13852 83434\n69044 88025\n31520 64287\n7932 67155\n14373 72196\n13104 97434\n13357 80760\n9339 11458\n23919 51232\n41363 83892\n22470 52070\n11307 61021\n80701 89579\n62300 93887\n57397 60102\n41628 78107\n27437 52717\n11193 55723\n17775 52972\n81693 87025\n8691 78944\n91848 94937\n8879 80391\n62992 96063\n47827 66691\n10106 73646\n61953 93386\n46823 97879\n25765 33697\n34218 59655\n8203 42137\n45194 93159\n22258 22639\n39637 61418\n96595 97484\n47301 70955\n41991 90521\n55526 85175\n63030 79794\n24750 32344\n54630 65929\n55781 60826\n36349 47540\n2007 30117\n40946 88564\n20402 43586\n4829 92799\n6448 69739\n68747 92960\n28602 88094\n46933 71527\n26555 50180\n7162 88511\n10888 13055\n29693 96268\n91637 94010\n62147 72777\n64557 67308\n92082 98693\n12037 25593\n32496 49791\n43662 55269\n23899 79401\n77227 81914\n37257 82403\n25151 96864\n3692 75440\n16826 97867\n2401 48761\n28251 96610\n4593 25057\n992 40659\n5052 48790\n37626 38530\n11559 12361\n76470 97592\n6449 8475\n60422 75579\n21039 65592\n80122 80783\n22994 25940\n63137 91243\n63949 85241\n39765 41829\n29897 74579\n17114 64215\n40481 67903\n23391 27047\n29264 56942\n47395 61071\n64363 89734\n20935 26252\n31936 88089\n24858 34884\n74469 88420\n17093 64352\n56007 73616\n42055 61770\n17704 94132\n47726 82907\n8946 54628\n20293 95524\n22505 89656\n30456 83931\n41382 83648\n76531 94227\n45245 99594\n68605 93995\n52858 86862\n16279 21146\n10237 90810\n3699 15319\n58128 88516\n4342 66164\n16209 17686\n27038 29101\n30265 68546\n39968 61093\n25559 49869\n48893 54694\n1935 72438\n7936 99924\n34588 77643\n59543 73576\n63040 95334\n18898 76234\n20440 32799\n67965 81504\n15023 32075\n3578 47505\n3520 90335\n83817 84881\n46506 79007\n13053 95868\n10322 73640\n39891 52723\n80516 84483\n69176 92939\n27934 29324\n98119 99977\n1179 45035\n64709 92114\n28644 41263\n6340 61859\n11812 72781\n63725 82159\n74818 97551\n17182 92643\n42871 77259\n70481 75968\n10168 80820\n55728 69395\n11721 85771\n73542 94443\n2276 84218\n26243 93810\n37041 42916\n20496 48940\n56761 77730\n41623 42603\n75837 93457\n21001 29197\n17246 44362\n31089 46757\n10765 99405\n19444 35701\n756 59257\n33695 95670\n12447 74918\n42963 71781\n11782 77785\n43523 63807\n3536 78607\n36724 45730\n71650 94471\n34063 90733\n56283 74932\n22396 43792\n59118 61813\n56196 79917\n1392 17598\n2233 35659\n28958 98363\n62901 96657\n60444 85891\n38185 49681\n772 76615\n9508 57442\n19943 59288\n49537 82233\n49747 58345\n50003 58287\n30888 33882\n59018 67927\n42762 52358\n47596 99936\n30440 90555\n33627 36419\n27942 83305\n38845 87681\n13351 95150\n66764 77981\n15935 54709\n11495 99071\n42508 78264\n24426 90788\n53641 71789\n57912 79668\n6678 64655\n13654 81730\n10662 84190\n15373 57627\n54657 91583\n12169 67972\n21957 44919\n46394 60784\n73978 93993\n73129 73140\n12472 92643\n11247 68933\n69756 97505\n82067 84989\n4789 76178\n23701 36355\n10421 79377\n11557 13283\n44950 80356\n9476 21061\n26521 72247\n4916 39341\n54863 92820\n22172 26797\n41232 95871\n44442 95125\n6316 32714\n81978 99739\n33768 50648\n54774 93490\n40522 61280\n5972 38042\n29111 94832\n48413 60400\n21354 28427\n23672 65866\n25988 32641\n10655 27192\n6852 50103\n22474 43396\n75753 86767\n28108 65742\n15358 76261\n12251 39859\n27114 88921\n1597 65049\n43703 61240\n3635 55680\n19739 61961\n42156 89173\n1297 13694\n32463 37180\n11162 12756\n71486 97243\n20631 74818\n93296 99963\n54840 57301\n37975 54983\n34533 62551\n45247 84923\n6457 7739\n12420 74454\n29389 55158\n39556 97010\n54027 92563\n47609 73648\n30619 85889\n20095 88619\n12855 27718\n39759 95689\n24247 73070\n13846 97547\n38273 76843\n1970 42699\n50539 86740\n20376 86046\n80100 98494\n18706 51731\n12831 96708\n34673 35052\n3590 85489\n33009 84281\n83263 99632\n9406 17513\n31754 75681\n27625 80972\n10746 29782\n2728 16982\n1647 61945\n11435 47786\n3059 38920\n54338 77640\n56356 64172\n38776 89783\n20030 88625\n94881 99757\n44258 78068\n36305 69528\n85852 93480\n11696 54016\n14978 74420\n10534 88880\n1385 97885\n74718 86060\n21920 45985\n15573 90661\n27982 30404\n14313 62869\n32057 71805\n27785 39174\n12320 22170\n4042 43851\n1146 95879\n35574 75496\n52909 78919\n46433 75007\n14750 68837\n9450 69637\n29043 54095\n43978 94130\n40037 82682\n43194 83170\n69741 75778\n44468 52672\n6355 83898\n63600 74715\n11739 83270\n40284 72849\n64910 75961\n27577 45588\n35425 72423\n11699 85873\n38524 78103\n26002 54677\n83722 89010\n11854 85921\n18177 72966\n6751 52204\n15406 50231\n49600 89451\n57422 97482\n46073 83470\n21852 86776\n51156 66113\n73515 82281\n35832 93284\n35000 97458\n3669 37149\n90350 94216\n59341 85378\n48920 86780\n49593 88512\n21018 24042\n41912 53341\n67693 96091\n831 81331\n29035 91345\n83580 97780\n27780 87077\n51592 77846\n46119 76521\n76814 83371\n70464 97968\n51373 82736\n22425 61704\n32120 97984\n42846 79767\n33021 41398\n26482 49541\n33735 56769\n20148 44232\n42628 80182\n24642 94263\n17091 53550\n16013 99644\n3213 92321\n33822 92384\n19144 35368\n50295 60222\n64691 75351\n32602 81126\n68745 93369\n12884 73479\n32349 81169\n18198 31102\n22060 47868\n79933 96296\n6191 49514\n66036 72237\n24735 92391\n55197 83361\n25574 78154\n57178 62249\n32278 82070\n17736 92592\n8267 50644\n14391 91090\n1029 39628\n83839 84883\n22581 93241\n40656 69726\n13270 42279\n19403 41781\n17150 72885\n39805 51645\n66627 89186\n7888 54591\n4212 42930\n76925 87641\n6156 9457\n61504 83685\n88076 99528\n88485 98698\n21591 48615\n7803 23021\n19740 83920\n14621 23414\n38021 77011\n51902 79590\n14422 26218\n60760 66445\n7993 9227\n85479 97339\n20471 44575\n43428 68534\n46612 80545\n32658 39429\n19559 55558\n20450 29073\n81072 94104\n91778 96675\n29158 31224\n41431 80377\n31938 33627\n15995 98213\n65755 77379\n14625 75199\n4894 14798\n18720 97193\n51209 88603\n51557 98437\n26351 96381\n20818 45566\n26106 91608\n10463 26723\n29897 38881\n5966 43738\n37419 64401\n16168 99892\n42011 97606\n11229 30649\n74621 90052\n14551 59770\n57834 76618\n29058 74198\n12740 56255\n9961 97691\n20239 98672\n27173 79781\n70984 95181\n35097 57294\n8314 9061\n43645 88624\n47598 67656\n34446 98175\n43763 53590\n27820 73618\n41520 56695\n60841 76169\n28420 68502\n26687 72209\n9466 73351\n43799 74947\n19338 91754\n55037 56840\n3314 72600\n16201 33430\n10534 66865\n36546 48000\n11814 33309\n56575 56912\n8200 44421\n40598 45835\n9596 18850\n14866 30022\n78024 94670\n69491 71091\n16317 62950\n40397 63501\n36751 66499\n54673 95779\n11712 31120\n25602 63328\n9111 49815\n54031 92823\n29819 55656\n2164 6731\n46877 56991\n68598 80056\n23586 88201\n4490 66140\n17599 28156\n44431 89763\n25669 59642\n12089 38800\n34666 83728\n25517 27270\n31864 97323\n32748 38701\n57017 67364\n357 84724\n49921 68458\n36953 55915\n72269 91100\n57304 69338\n3292 91955\n7647 39907\n7450 61822\n88821 96090\n11529 77123\n8736 65291\n77317 77384\n49214 92706\n74990 79145\n40639 75528\n82397 88951\n33969 72825\n91623 92523\n69083 98061\n21447 43658\n17129 95360\n28892 31719\n51242 52300\n5414 87951\n54975 95712\n4539 55197\n26412 74004\n9389 13908\n5277 27182\n71209 91808\n53164 63648\n55440 99260\n2095 24678\n13049 17638\n85688 93839\n33742 92305\n3366 47806\n9244 74354\n17083 62734\n21920 69448\n20726 88288\n20089 51282\n18472 82740\n34396 68475\n93277 98503\n8014 11395\n63522 89520\n20282 29399\n17623 25055\n21088 41062\n56976 69077\n16628 28710\n72112 82093\n12779 50033\n47798 98175\n18106 31123\n54625 93673\n3304 63276\n55938 72372\n36339 80848\n6935 29694\n7623 94340\n61511 85291\n15510 58804\n31098 78355\n21727 98649\n33925 88365\n41733 98977\n10081 59523\n56379 69793\n72852 76304\n21890 49324\n67830 69802\n5808 98719\n196 27483\n19239 55916\n2938 33861\n6965 93759\n46096 48700\n25469 42978\n49127 91210\n7959 35501\n69797 83336\n35370 97277\n56371 98397\n9499 87413\n3268 4520\n15579 28294\n23324 84593\n10245 19794\n50884 96660\n53083 57430\n12254 89208\n49972 70290\n59846 85654\n27015 99337\n19276 67816\n15528 16391\n9513 84137\n45527 71011\n11384 28048\n11363 81319\n13461 68204\n35926 56043\n34498 61625\n12234 72643\n4092 66542\n65415 72915\n62093 64479\n15558 62865\n4091 24851\n25599 27070\n47957 90549\n10336 12822\n46140 96338\n21627 82742\n6307 79529\n62422 89727\n35185 77755\n43255 47372\n56739 73248\n32033 96923\n38925 72683\n87120 91064\n56388 77635\n30728 59730\n30776 70320\n49578 72106\n74803 76826\n55785 68589\n15561 37150\n65633 68591\n45 35320\n9933 11527\n56197 79772\n11786 76894\n12852 29920\n79773 82724\n9601 14364\n37758 41038\n70379 74297\n14620 70067\n12142 24176\n10090 76598\n19468 25276\n62410 74082\n46835 83205\n6950 89982\n6274 78619\n53592 75784\n28685 61000\n20758 81934\n70361 99084\n25114 26562\n2653 38883\n33603 71152\n5641 67721\n56366 75284\n40466 70587\n60358 73244\n11714 14673\n27377 64342\n45407 53217\n34432 93456\n27724 28316\n21327 70996\n20414 74072\n7004 42601\n15567 43166\n39782 77980\n4049 32922\n11609 68911\n56287 90425\n49773 95779\n46174 97687\n66719 88278\n15219 27851\n28437 82461\n76210 80066\n29033 89235\n22262 90512\n84245 91790\n68456 74703\n29336 45527\n19718 69530\n63753 67116\n15287 58547\n54718 55938\n19886 50132\n78846 94622\n38209 82400\n26458 30469\n81244 94632\n18447 63026\n30645 92709\n38434 75374\n8510 81533\n2492 27557\n12049 68708\n140 18696\n4510 13507\n88954 97725\n18469 39708\n13827 85402\n62587 93044\n50226 59734\n40261 96712\n27983 31859\n11485 34867\n96514 99312\n9879 28415\n51813 89617\n952 88524\n68708 76235\n25202 55561\n12215 50905\n41785 65141\n7183 9812\n69444 69666\n33119 85376\n43556 50463\n42256 69222\n16119 70298\n47475 85005\n83779 86736\n9396 89041\n53576 96651\n3999 52842\n43275 70629\n1052 81069\n67902 95157\n28076 51817\n42810 54440\n17343 71930\n18448 93231\n41620 43957\n176 27160\n46815 92570\n15933 17734\n57276 87472\n54512 98638\n6927 91999\n26801 34735\n80976 99042\n57026 81102\n29187 66220\n58213 76563\n20046 79505\n18230 88598\n32901 88648\n42382 58128\n35399 72395\n10147 38021\n38256 58688\n29316 90777\n19334 69820\n14675 96505\n3365 32325\n67497 81613\n10665 51456\n39594 68096\n56460 68093\n56986 65337\n50268 74836\n39441 94029\n22428 77265\n2259 66421\n4200 82522\n41839 42174\n20568 82564\n43023 72419\n33612 49882\n530 3672\n23608 93691\n44237 91329\n2108 53679\n32269 78167\n32411 59536\n3948 36742\n14123 33881\n32692 97250\n4387 99346\n17852 80949\n73062 80545\n29824 91447\n38937 97385\n4863 22673\n7380 67228\n43388 86316\n584 930\n3636 25398\n46686 53805\n39430 90565\n41077 84009\n24818 93038\n56728 80918\n49332 64542\n51377 71720\n73276 90579\n28897 85464\n24204 37921\n33595 84671\n18594 81206\n8488 11534\n14901 51835\n25001 48271\n14396 36185\n9606 30028\n61485 71876\n79856 90824\n21018 25011\n3194 86131\n33048 73048\n28096 89214\n23560 90657\n32935 84896\n42963 44618\n37565 54667\n5488 71949\n53313 69014\n92741 95657\n27887 83629\n34875 78288\n33445 44021\n24433 97803\n22972 79943\n6219 89285\n19536 51227\n3248 25335\n25249 40176\n2776 36292\n37605 94789\n26440 81328\n10045 54597\n41240 58314\n38670 49550\n29049 46252\n71304 72510\n43957 76378\n12611 60211\n38438 57276\n16724 56347\n33536 62501\n9265 63512\n21842 34107\n34218 83254\n47229 79689\n41977 43711\n86677 86980\n1045 13415\n35542 42647\n29939 67233\n11327 64760\n8774 29864\n51611 81057\n10792 72431\n6492 66693\n9908 88949\n12332 26282\n19289 24162\n27688 70104\n25675 73171\n24304 84261\n4413 60730\n356 71569\n61523 82512\n72361 93734\n25331 33585\n5273 89942\n29261 90943\n6227 62791\n36739 86351\n74169 89236\n62593 71844\n29959 79859\n38910 56709\n21658 65198\n29303 45568\n60832 99948\n13754 74126\n14555 33053\n8562 12784\n19298 39397\n16392 79261\n46337 93233\n15428 50424\n9071 49684\n54156 76898\n32598 49063\n2537 19762\n32075 92769\n11418 52646\n63301 97229\n46811 59751\n39045 98590\n24104 77750\n26811 85186\n66380 88615\n7248 89302\n1738 47420\n33288 72597\n3364 74478\n2283 54252\n50736 87355\n55098 81720\n47151 86129\n22718 59141\n701 81202\n58978 63131\n27073 29294\n30503 69796\n16113 71057\n29028 39574\n8078 91973\n4132 28631\n56664 93937\n23530 44943\n54318 93845\n47767 60737\n5142 27961\n6703 51059\n42262 95384\n24834 70681\n26819 45181\n16248 52375\n12558 29147\n50349 93821\n55219 61501\n4375 52504\n37199 75380\n49660 53786\n52311 76238\n27552 78958\n90861 92014\n3417 48880\n46910 71100\n34795 64894\n10102 11218\n59904 88180\n34289 40736\n49290 79031\n34141 70663\n52587 99076\n9103 83169\n30274 32540\n13039 80008\n4352 36517\n65125 78868\n4901 28534\n81074 85024\n23134 59466\n7520 66537\n3575 67299\n22183 84911\n23709 65052\n45351 97072\n4477 31147\n17230 80877\n87346 92411\n42020 84395\n15886 84218\n10392 33596\n53265 55985\n2346 12827\n27331 86312\n57361 65131\n49530 98156\n26145 90238\n72816 82132\n19072 46152\n1917 65727\n2893 92860\n35709 53175\n18114 25002\n5613 50714\n18042 83657\n3592 10621\n20870 44879\n22144 60013\n31155 42146\n32626 33515\n1375 94985\n42948 76674\n21277 95759\n51363 72783\n6631 10686\n68090 74999\n4827 59190\n54024 57976\n9544 56807\n40483 60072\n12609 76457\n18196 46095\n20238 55145\n75692 87991\n61393 86161\n70487 83977\n4152 34851\n62692 77174\n42593 81761\n11041 48762\n38713 91082\n10545 69405\n56358 69039\n72461 85198\n7248 40624\n31168 87103\n32461 49160\n18796 44393\n73429 91146\n13508 99268\n61522 95672\n74973 94041\n52124 85797\n32118 46645\n95716 96905\n36730 52863\n40749 52214\n64489 73620\n49082 53776\n15009 99491\n58133 69500\n42251 87126\n34282 81388\n5927 31676\n58048 98642\n6566 41846\n9474 14438\n45748 79046\n65247 82802\n45433 71288\n51742 97896\n20483 90805\n9180 82796\n18765 75041\n7566 75388\n24403 56771\n11098 94470\n76979 89130\n382 29323\n11383 42803\n6202 24518\n59048 72524\n46538 63946\n36017 45691\n15152 78155\n58232 71112\n65399 79537\n898 86934\n1172 57141\n16550 87562\n52117 82478\n7814 40398\n63221 75788\n39713 73508\n85012 97099\n7164 81465\n28200 40556\n65274 97629\n47803 57120\n8657 52921\n67366 77196\n12548 29979\n66494 81821\n50868 72284\n9556 79683\n24019 47284\n62185 84556\n18967 53931\n67644 80359\n4421 59447\n13045 47047\n18079 80990\n27106 91942\n22188 96338\n30545 98954\n44017 81882\n59787 66932\n12201 88562\n64908 91400\n17762 35002\n910 88831\n41807 59786\n45249 62031\n23188 86560\n22641 80651\n60606 64569\n2919 51432\n24528 28973\n46418 82736\n5858 42569\n44089 59791\n40794 96940\n63757 98632\n2549 32870\n24955 87941\n16296 52471\n39476 81030\n48528 73378\n2432 3991\n16962 70189\n52805 92244\n23244 47445\n49271 78057\n52664 88115\n55620 73141\n31456 60665\n46419 81359\n3100 12022\n57398 95840\n74689 75272\n3356 37235\n3710 77064\n3152 39188\n52330 98386\n34446 78873\n33955 90080\n8737 38998\n45395 47268\n16890 88551\n13131 86696\n60288 85136\n11662 69546\n8547 29235\n84031 94251\n8297 66490\n3143 61026\n5446 40331\n1548 46982\n24805 70117\n44851 65426\n14878 73084\n34479 37272\n54049 86114\n9240 83271\n50643 96121\n44497 50846\n36625 68703\n16424 32254\n61245 95308\n42289 99674\n101 35231\n39876 45285\n81214 92925\n13321 38024\n44527 61789\n28446 69604\n70868 85847\n22510 57811\n24438 82412\n97904 99819\n17172 40391\n22689 74376\n30511 99986\n52223 76267\n10923 42996\n34989 99755\n54539 69116\n48657 94196\n82177 91930\n3503 92167\n21691 54319\n17905 36544\n20503 24527\n37265 78479\n17702 19173\n55923 82442\n55955 58980\n9828 56720\n50232 67679\n15566 74611\n55313 96465\n6933 72692\n6084 55314\n59327 75036\n13567 45983\n9659 73102\n39539 96054\n34661 60752\n5940 30348\n17012 57373\n7975 95931\n7925 41312\n29919 62226\n59162 92600\n6585 61894\n87912 97992\n68532 87903\n6385 51373\n27856 56936\n32272 75159\n49438 97631\n26009 88611\n4514 93481\n26404 41993\n78072 95819\n30241 83799\n11791 57481\n48429 59844\n71024 92165\n29004 69767\n75929 91319\n67339 82338\n46793 60528\n9320 58171\n1752 48944\n29026 50752\n11295 68571\n9060 52611\n51917 53611\n91009 97477\n15458 63977\n148 83225\n7695 29972\n60458 78241\n17399 49277\n14571 74254\n26095 42737\n24215 99829\n3039 38229\n48094 86345\n6219 86982\n10391 22833\n6307 99552\n63437 99114\n41642 60372\n8993 36897\n6824 72971\n33880 63123\n24139 72459\n18154 56998\n4350 79529\n15242 66637\n25884 77628\n21523 70709\n20439 33726\n4234 92347\n11870 18800\n18158 48581\n11665 64268\n65717 78953\n70844 81637\n53082 96753\n49617 98324\n34060 82322\n54333 80064\n44020 88096\n30361 39078\n37253 40813\n52019 64651\n21408 74712\n67469 73549\n82896 87507\n83280 92093\n31272 87342\n12541 91774\n60337 87327\n38812 77613\n16263 60320\n7567 79467\n5766 13283\n38194 53314\n56826 62790\n1887 30874\n57402 83123\n5921 73446\n41304 74067\n26321 96040\n21927 63885\n15413 97039\n48400 65602\n20454 42082\n7065 21391\n31336 46550\n45551 91357\n61517 80110\n83480 92036\n22689 31896\n14981 61729\n30620 49566\n65366 89831\n3006 71113\n20412 41414\n19620 62334\n22828 36665\n80888 82870\n80103 85442\n44048 93299\n52117 92339\n57968 81691\n16438 73460\n911 2621\n47185 83581\n27654 53223\n3091 97399\n48077 77305\n6285 19355\n44257 76734\n91910 97779\n64218 99549\n63561 89563\n52319 95873\n54199 95513\n23244 90103\n37807 50002\n12048 35764\n10759 71663\n42551 46361\n16883 21548\n74356 74997\n35222 91292\n1610 24826\n30357 38084\n6054 48681\n34427 89148\n50998 98626\n61342 95323\n36639 92289\n5888 19635\n17667 85093\n34223 51663\n6957 61474\n69019 75650\n47575 61210\n10556 22455\n13535 79876\n5140 76532\n42074 98647\n98715 99243\n45718 67034\n9834 70177\n78839 93209\n9575 33582\n1339 7830\n67248 95038\n56096 73915\n51050 95968\n70028 95195\n12919 15798\n62485 83167\n28887 52035\n48964 83300\n20468 58436\n2241 5466\n3084 87385\n36080 40767\n2259 48002\n7052 52163\n31377 88151\n6374 45984\n69234 77739\n65393 94605\n32535 85202\n49404 76611\n28002 63521\n46108 89958\n79891 93249\n14472 77007\n17564 19320\n19649 23246\n30025 46319\n25777 39043\n44927 82761\n13951 26570\n5134 6367\n36710 84422\n18284 44213\n20552 65173\n15139 23301\n30487 94346\n30538 32982\n61651 86929\n36433 87471\n25884 84446\n36813 53919\n16250 46905\n45010 53634\n53180 99230\n27075 34926\n9754 45763\n82452 83970\n5498 65104\n5573 30556\n48194 53337\n36027 79539\n9733 40828\n19440 95239\n26949 74747\n49007 72494\n32906 57260\n30675 38546\n26946 30329\n8859 35006\n32070 48280\n2728 91989\n44176 49709\n56536 59772\n84894 94305\n74573 97621\n49520 89057\n5120 87211\n64849 93480\n40413 68851\n60203 95848\n2685 62992\n20032 23097\n23645 91558\n54361 55948\n45735 47704\n13383 69119\n72545 86334\n14581 87252\n44635 63762\n66223 73255\n11503 82286\n30139 55335\n203 8985\n15248 18659\n735 44079\n3127 32467\n78345 90291\n25353 55584\n58660 70601\n23409 80396\n47901 91546\n34177 92925\n28095 32427\n12579 22961\n25785 76695\n19777 32874\n40418 56685\n62030 80995\n8126 29815\n37371 63324\n53742 72634\n7506 8678\n54657 85559\n65684 66355\n58148 95207\n45505 95806\n4295 52001\n32719 33078\n51390 94855\n4492 84579\n28442 52674\n44495 81597\n43263 94658\n10141 17630\n5193 50928\n14950 31010\n7753 92739\n35904 57544\n69436 97201\n2244 73738\n6396 59041\n37874 86178\n42086 60563\n8117 27203\n44849 78990\n87995 93783\n36521 83381\n41963 88420\n53515 94587\n88732 96480\n32200 78531\n8263 9124\n44642 51930\n5880 71883\n2263 68001\n7342 89822\n9532 28663\n6586 20100\n26837 57595\n10780 68948\n75297 90354\n42333 67015\n14663 79144\n46110 68810\n12872 25273\n76903 86850\n41674 70093\n33267 46635\n56270 76174\n58068 82517\n25503 64923\n47770 95726\n95636 97306\n11234 78845\n87982 95952\n24708 28816\n44734 90260\n18827 68598\n65695 77803\n19865 92403\n16561 84242\n46038 72709\n27476 82440\n63747 81103\n90298 99496\n274 20039\n40106 91759\n38117 61045\n59868 67483\n43257 95422\n19995 46737\n11139 90915\n44046 69721\n23830 31464\n17847 79900\n44323 48414\n30820 88734\n8706 17683\n27375 53590\n62199 75515\n47399 71333\n60341 78553\n53623 92979\n9563 40301\n6225 72819\n27776 29454\n54390 55958\n40402 90458\n53753 82545\n4845 53143\n42522 87820\n89509 97380\n66369 82331\n14827 73704\n8765 12188\n78101 85596\n12955 39451\n29745 93840\n15522 44638\n52282 65916\n16512 76946\n72161 93336\n77494 77698\n4782 28739\n44636 70676\n49605 59555\n56895 67312\n9101 10643\n61238 91721\n68566 81973\n12800 63982\n49532 82258\n41372 53783\n89999 99233\n40533 86873\n842 59788\n56260 95962\n70515 97134\n31492 61129\n9473 82380\n23223 55855\n13743 90974\n34927 81660\n12826 74039\n15669 45353\n13489 62322\n13295 74327\n59274 86007\n2222 93154\n44410 61606\n75956 99746\n3608 89497\n18352 80771\n2407 12123\n5198 89072\n66958 80458\n2101 36688\n78831 91288\n45666 53759\n14690 34006\n3877 42254\n57727 93596\n82026 90928\n32655 63722\n15105 64480\n56134 84028\n48089 61654\n22850 98963\n66790 98755\n8542 40367\n22368 55239\n14972 38607\n18108 89741\n58478 66840\n9256 86398\n11532 47562\n10133 65049\n2751 65801\n62038 93504\n70211 72117\n39583 44618\n16651 66992\n14763 20219\n10490 86752\n17892 44301\n3572 14821\n25052 67780\n25658 74616\n72099 85862\n15042 22058\n17691 83710\n72132 73009\n24639 97212\n46171 50574\n4230 41664\n70518 74222\n47284 53013\n8254 56757\n31585 44326\n34288 86327\n12431 63320\n64091 89645\n34457 98189\n10471 87777\n28630 98752\n12104 79476\n68363 68484\n49772 76192\n28374 64925\n24414 56864\n26474 36195\n36752 82107\n30291 44233\n75356 94480\n46877 49003\n36305 44696\n60786 81818\n61614 88075\n15896 86539\n11591 88983\n9221 10156\n24319 67830\n61999 93478\n4086 44668\n37483 93424\n14362 82597\n11815 25030\n15882 65265\n11276 84505\n1928 61758\n15034 30969\n18907 19233\n83888 91865\n63735 97977\n14416 81650\n36647 57268\n48933 94440\n35428 59283\n29137 42735\n9230 60699\n43178 71003\n22146 97551\n10017 70606\n11874 89916\n15303 76781\n44675 68549\n12055 82096\n8421 47929\n1446 67452\n31708 75303\n3867 57345\n19450 84365\n37804 52068\n4271 6780\n16391 53276\n12774 49133\n40329 75791\n25750 78745\n27137 67135\n29565 35571\n6092 15058\n7059 89149\n7175 30028\n28959 54789\n12370 99320\n59933 99311\n59823 65382\n12930 87434\n18613 21549\n4458 56402\n23639 45722\n47382 66010\n21676 21995\n61254 99443\n34669 38502\n36673 70469\n45777 76058\n70254 86975\n78609 84132\n4818 62998\n67165 72527\n42395 98597\n43048 66812\n25769 69695\n21652 55126\n39421 74025\n44882 82844\n15407 85368\n39178 53270\n15525 91963\n15705 20405\n47785 61189\n87106 88911\n54702 85058\n3320 60373\n59761 76217\n41032 49865\n8396 55973\n9553 96299\n9854 31841\n43538 92012\n36860 55460\n5597 42211\n27039 61917\n37024 93698\n23349 96744\n30381 58640\n14298 41764\n35044 75913\n3465 71967\n3264 78586\n6883 66532\n51161 90266\n66959 68326\n9650 87412\n10376 32094\n72956 84088\n2711 82891\n1502 2553\n17451 76399\n64854 93472\n12804 25971\n37273 96719\n25559 93635\n5710 39655\n50794 60761\n43478 75624\n35585 66758\n21347 28112\n757 39738\n16151 77223\n50978 73448\n46838 97523\n34624 52586\n38726 67051\n237 60203\n24761 25242\n14175 36388\n28407 81425\n17797 72050\n48111 81239\n20995 80955\n20991 72371\n22538 36819\n29687 40870\n65576 95769\n3194 40898\n59725 70952\n67737 84976\n54205 93901\n6813 54189\n20744 29238\n4905 10644\n9589 68605\n64293 78979\n63373 80968\n12377 17224\n20121 92023\n40569 43031\n62071 65481\n22099 33356\n58326 96179\n82694 99748\n19974 44775\n53820 90975\n7675 91305\n57780 92447\n88569 95031\n21540 85766\n37121 56523\n9414 81085\n26406 34918\n6837 48033\n64762 86164\n11996 44124\n23269 37755\n2334 23952\n24297 44364\n89532 93776\n11103 44069\n2148 72343\n38335 55822\n7685 31811\n29201 65746\n6628 49664\n42041 44605\n61410 87599\n54224 78272\n43500 88804\n760 18037\n9032 63175\n11850 18100\n68089 95906\n51696 89876\n48236 78002\n50758 76025\n93241 95588\n4781 99160\n24161 89495\n49107 73406\n39793 82131\n55913 87947\n11083 27935\n14251 95054\n45233 55101\n19530 20723\n25714 80524\n62507 77572\n38387 56987\n2825 18006\n37658 92524\n52475 68197\n41158 71753\n11205 19807\n5548 17750\n25986 85487\n13533 68091\n44499 78062\n58061 84297\n20941 23003\n42415 62635\n6506 73450\n44977 99803\n93100 96713\n10419 13001\n12949 72392\n50952 98159\n19746 85344\n31253 48362\n26382 61898\n763 61967\n45501 92239\n24250 39428\n20881 61910\n43393 68092\n53176 75198\n34573 54657\n3304 37669\n46562 90078\n47114 97077\n48676 86332\n3431 26745\n11245 33660\n21033 83716\n11512 57434\n16081 52001\n1768 16343\n68189 88300\n1806 83825\n93892 98372\n57863 78990\n62775 77059\n8029 61359\n40146 65931\n18069 86445\n12879 45963\n26232 91692\n48317 86584\n2245 22767\n56277 57479\n25593 93798\n47912 67310\n17688 69031\n4759 18863\n34220 93443\n25167 84925\n41136 67004\n10301 93364\n204 30502\n59818 74795\n22042 31187\n18120 19353\n50686 98813\n29654 50093\n20256 56805\n3711 25820\n47601 60792\n12368 34283\n60501 62348\n24293 63466\n37694 63665\n53766 60749\n5106 39526\n16984 89259\n36054 38647\n35145 58090\n29761 88670\n9567 20613\n15511 47558\n31592 73551\n41924 92860\n36493 85562\n31029 38904\n37875 49206\n46521 57420\n41903 94308\n43477 60594\n28108 77605\n7947 43643\n91593 97653\n38870 80111\n28725 79290\n3911 66534\n45364 61712\n16024 97200\n17928 40701\n7404 83044\n31162 98535\n24613 34390\n40127 60831\n9146 97850\n80851 91073\n2408 98685\n14426 85840\n49885 86712\n39951 72633\n70482 85462\n6815 85558\n33243 36068\n9250 86966\n31136 93473\n33509 83797\n31302 35208\n30474 93169\n21138 53666\n51319 71548\n10998 28772\n70775 76351\n550 40696\n80423 90583\n1143 64246\n87183 93688\n59936 73906\n42202 90464\n38954 74727\n74723 82387\n22330 67322\n2359 69831\n12546 28649\n31792 39424\n11641 21497\n55975 70412\n20875 27353\n41634 57772\n44040 52574\n54695 60041\n62191 83142\n71365 80784\n26490 86503\n2702 84703\n60519 98926\n23353 54858\n79799 92858\n32515 32626\n36491 72640\n21922 82919\n36266 59768\n55534 93555\n12112 31061\n80134 93747\n50906 52846\n13948 56363\n66744 69959\n15654 26295\n17519 22698\n9275 69308\n5952 43469\n6110 23747\n841 76582\n65710 85030\n84446 85390\n36065 68117\n30636 66132\n69421 97351\n22137 55263\n57585 59490\n45325 72516\n28099 49319\n48187 70606\n16287 60704\n60739 70892\n25367 30649\n33300 33837\n34413 66148\n52054 68075\n2177 98502\n8652 45463\n31505 91729\n27206 73082\n35391 53295\n14175 23943\n74273 76369\n49362 70769\n46789 63904\n52333 98163\n38017 77837\n71743 75375\n10809 72635\n16753 58342\n45403 91208\n22649 99941\n19487 52945\n6289 63846\n2511 87863\n4407 48170\n65143 84633\n4974 73824\n52838 57600\n34562 45424\n6648 88472\n54156 93546\n58662 59067\n32754 40569\n18614 41799\n3557 48600\n48637 78340\n46991 53815\n28144 50109\n25601 49943\n2881 23838\n75639 93851\n19573 81580\n16184 60060\n42353 57554\n3256 97439\n48470 68408\n4445 20734\n35640 55592\n64751 71314\n42042 46039\n21569 97717\n81695 96281\n49954 69192\n16306 48781\n1758 12779\n14576 59976\n1972 15308\n20358 42699\n36593 98613\n12015 86290\n35296 86643\n7861 84866\n35789 36164\n32829 56465\n9746 40678\n17173 95607\n25016 51024\n57912 96370\n67802 76900\n30641 48229\n90608 94162\n25936 75842\n12946 41973\n24239 33120\n47962 64922\n25927 89187\n23212 52160\n89266 90325\n78337 98753\n73064 81974\n51497 92240\n8369 72348\n1444 87824\n20224 38643\n17890 71646\n73123 81938\n52802 76936\n81202 96405\n43605 67156\n57508 90126\n17462 99908\n7661 75964\n10355 45588\n31950 60563\n32243 92103\n83762 90573\n60250 88056\n19580 21100\n37415 72955\n49638 54683\n13165 16405\n38867 78656\n80810 87781\n31704 44616\n60450 98907\n11820 48259\n46820 69468\n41847 96312\n20659 64635\n10620 94749\n2900 60016\n144 90386\n3517 30621\n11357 17265\n16187 98897\n3832 74537\n47680 81951\n33891 55461\n22142 55281\n38780 75376\n18030 75378\n63509 89984\n25424 80599\n7628 66054\n12753 53456\n58800 70439\n30369 42736\n3585 69589\n28570 82042\n2629 64178\n33450 73253\n70476 81770\n49834 62519\n39881 62270\n16079 46870\n44469 95151\n54709 71645\n42985 80494\n2762 29782\n79806 95532\n55146 80526\n41562 56044\n81553 87148\n7159 89679\n25896 30051\n6661 29439\n16424 98516\n65886 70955\n31996 61285\n3711 37132\n6462 53708\n83340 83701\n28350 30185\n77384 99229\n33589 41597\n11578 74225\n29325 70930\n19300 65688\n85121 99696\n68406 77020\n14904 40512\n52223 78208\n9566 43153\n21431 35146\n56473 88246\n21214 77856\n85876 89627\n36104 73440\n40159 70056\n10284 27996\n33031 91745\n8037 51527\n2596 24134\n13138 50647\n4696 44074\n40582 51601\n38205 70024\n31373 69815\n42427 59306\n42473 82448\n35315 77944\n45733 73609\n28769 69323\n19492 52703\n59884 90917\n10443 21492\n56229 63853\n48127 66548\n15383 27102\n57584 88765\n17479 64490\n12585 50471\n69201 87290\n53163 83776\n580 86212\n88227 95944\n39154 95243\n39767 80234\n11188 99045\n15113 28713\n10114 67234\n3699 46511\n77840 88791\n24629 92563\n69638 97778\n51042 98873\n26894 75231\n58268 99026\n10729 21613\n6428 71855\n79451 80363\n25775 77522\n15978 58526\n4873 93386\n62029 94994\n47010 94708\n2442 61064\n33005 59755\n55404 67573\n73456 98986\n62304 81784\n21861 80599\n16336 43451\n70934 82657\n41837 96757\n22944 71483\n74597 96528\n69262 73522\n39231 41411\n35440 82161\n27631 65297\n250 97079\n38274 57553\n75208 89446\n21417 76197\n15711 90247\n38829 67685\n3506 72417\n32232 48343\n38652 84563\n17567 68420\n62590 78652\n2786 23211\n48558 97121\n32028 68224\n5943 93762\n58114 91149\n33331 88477\n77419 87462\n60784 92918\n13700 76607\n31918 62999\n31508 34487\n6599 14003\n17050 39716\n45277 57155\n2504 49880\n71855 73509\n49038 65831\n45632 60829\n50832 52493\n34907 97261\n580 66864\n45166 91863\n21043 73867\n48683 62808\n74078 99234\n52795 62468\n88421 99712\n27532 61096\n14405 90418\n21063 98510\n8069 34890\n6675 34041\n23569 32008\n34223 48299\n26589 93269\n70541 90992\n48193 66584\n52428 66080\n16529 49391\n19834 90678\n64411 67614\n75098 85616\n75571 97227\n29819 73382\n34614 97831\n20294 20642\n37866 59557\n71477 78393\n43244 76188\n14661 70132\n1616 71733\n51058 59354\n77590 85850\n64303 64598\n19943 48521\n26357 54224\n16881 60068\n32335 91399\n8144 66728\n3582 25134\n22707 61488\n40938 46825\n5969 73700\n29069 76677\n14160 90044\n30944 60798\n4901 20787\n12395 30112\n60259 80154\n2536 76611\n729 69791\n16762 95957\n18041 82502\n24881 49223\n3547 41124\n73591 94124\n14079 95943\n56673 86091\n6694 29356\n47250 48559\n48981 96509\n47732 80138\n35 87906\n4199 56852\n68987 71230\n83106 91199\n1432 4357\n68614 71240\n52373 79310\n74003 92234\n17810 24583\n52433 74123\n56767 79083\n95179 96320\n227 75200\n71496 85071\n11175 23215\n12330 44310\n29133 40803\n42707 55233\n25684 43764\n36113 77403\n10584 98988\n16587 81140\n10060 64485\n40869 90829\n40317 44313\n8810 55807\n76600 91986\n26121 29304\n6098 53661\n40560 43254\n58572 69511\n45873 82122\n83377 92526\n27323 28563\n54990 59999\n45008 55949\n29578 90179\n92795 94707\n27564 38502\n55391 94206\n33286 98683\n34090 77205\n77551 89673\n65247 79169\n17015 72004\n4446 9867\n4345 53659\n7673 12248\n24901 39115\n43990 80462\n8142 46431\n26809 30294\n8542 72064\n1056 85853\n31849 78034\n4000 64917\n10996 11699\n2492 91952\n10283 15749\n36813 59039\n42436 61379\n27771 64002\n73352 83038\n53928 60718\n51163 55466\n31589 76465\n52631 81788\n1017 52293\n62610 97778\n28691 99792\n14307 66710\n97084 99697\n44539 90494\n2554 16760\n71596 98095\n12085 45016\n16893 30571\n12181 29879\n34370 46458\n25594 83601\n48724 88476\n74511 98713\n23652 46859\n55843 75729\n37968 61857\n2034 42568\n54201 73495\n46558 50037\n12577 78839\n60530 63544\n64962 94761\n45223 67403\n2277 62942\n35197 68257\n21231 89636\n5866 7835\n9398 69589\n38992 49207\n27430 54847\n81185 91642\n75167 94652\n33 22088\n19186 28807\n39748 82615\n24011 28506\n32724 65140\n47660 86933\n3877 25680\n13794 21811\n92574 94052\n78807 93498\n50769 83686\n19887 56660\n69819 72952\n26495 40273\n41438 78480\n34090 61015\n35687 70922\n70992 93658\n79117 93466\n66343 81148\n72911 83336\n44510 46527\n2416 87239\n87865 96664\n69474 76038\n35498 94647\n28939 51517\n30906 62522\n30317 52872\n21550 34987\n902 51429\n4892 54551\n55207 82134\n57615 73725\n14469 64206\n11416 50323\n11072 74886\n17326 66807\n19113 34919\n35121 76430\n24417 39951\n20998 90738\n4496 39693\n34980 46231\n44 94752\n32723 51288\n11669 46562\n47232 96691\n4702 90315\n80492 81912\n68756 95253\n26275 77506\n29494 44457\n9187 94789\n7173 89057\n17259 78309\n13895 23402\n26584 79125\n2493 30698\n42218 91814\n56826 62107\n17138 38610\n4135 20899\n50839 91850\n32773 43100\n34353 93158\n25097 32345\n20405 40987\n88245 97287\n48072 94801\n13876 69353\n66075 75104\n34106 71614\n29289 40626\n1387 62626\n12096 61666\n11183 24057\n41662 63160\n35826 65069\n4379 72772\n37988 77002\n12495 45552\n11192 78987\n83063 94387\n42625 64895\n20705 52202\n68763 91177\n6312 38551\n21110 36608\n5682 41970\n18299 60436\n74880 79328\n40172 83630\n17467 90745\n1694 60825\n15921 50196\n51017 84225\n1997 77540\n88847 89284\n30352 52115\n14498 14931\n11113 63947\n9009 9732\n46230 72382\n27953 59825\n78346 92010\n75762 99071\n3630 57045\n51789 62600\n62048 94530\n21310 40497\n65352 80437\n34835 41988\n76657 80209\n34668 61384\n16513 47994\n39759 76231\n3308 80174\n26819 89174\n32552 63189\n20052 68276\n69240 72063\n38558 61654\n13069 88453\n45773 55344\n16132 75884\n79401 92972\n13527 90932\n24495 56810\n17374 61870\n17525 89122\n27365 75120\n56421 79241\n11449 30690\n91051 92642\n37452 78604\n42688 50882\n9547 97855\n24647 33833\n5473 68378\n10399 45226\n17178 49201\n64542 86861\n38507 84100\n81981 89965\n69569 82601\n4416 71301\n26907 32914\n33309 75188\n68946 78014\n32512 37574\n10381 55893\n36992 85520\n36234 94398\n10024 14190\n16657 18525\n31307 38464\n51710 85158\n54049 93100\n13737 64533\n25204 84741\n34513 72738\n68001 95777\n70614 89011\n86942 88757\n9927 58050\n72682 94594\n8041 40810\n74476 99803\n64987 89701\n70039 94782\n2461 71259\n68855 77556\n26032 34494\n12707 21442\n41579 82579\n52497 65089\n63147 67508\n6094 49170\n69548 98409\n33764 53812\n32086 64804\n1071 48814\n3288 5058\n29274 88349\n14848 87287\n62722 64550\n21287 78129\n14662 28398\n59661 63731\n57633 61775\n26506 60686\n3008 68820\n59592 87804\n23940 78784\n18362 88403\n27821 68235\n77139 91094\n33469 90107\n70478 92646\n23921 69386\n12123 35303\n9712 12825\n15044 74408\n2018 15378\n55435 78857\n70687 89980\n24468 40815\n23726 86258\n8123 46438\n72732 93342\n23219 37100\n53681 66697\n270 69217\n5997 61797\n79308 95257\n57698 71189\n22926 23609\n27159 97947\n48522 69719\n12281 53028\n19254 81792\n12405 70831\n78759 82613\n10713 44769\n30777 97804\n11044 48518\n4580 41639\n4001 35399\n1838 23455\n25992 94834\n59889 67283\n10085 63012\n14518 15731\n2599 32806\n24840 84996\n51684 85376\n20875 58041\n2764 58849\n18348 85256\n58495 92390\n56330 65215\n4529 41743\n47712 60281\n21344 88680\n80285 88124\n17400 80558\n7362 37161\n41464 61103\n14476 87307\n46079 84980\n35296 44285\n56451 64125\n50587 53151\n2771 66784\n50597 52893\n36796 43230\n3743 37685\n23079 36622\n18149 82667\n34607 79552\n58576 71056\n755 3051\n11075 81968\n26880 57961\n43289 98591\n53670 73871\n38756 96422\n13884 31034\n49512 87941\n29911 76212\n49258 82883\n16491 26897\n14758 84323\n39405 59860\n5380 20584\n38236 45275\n56032 81441\n56345 96453\n1772 78753\n9169 87588\n22703 64742\n11143 28844\n41110 93105\n43305 75200\n59191 79939\n7056 76520\n21036 27360\n24897 53980\n33583 61804\n24503 35960\n77696 86040\n36331 74528\n96148 98994\n16737 95817\n14398 51852\n68420 94298\n30603 67575\n53207 88316\n39242 54496\n35345 63698\n2261 96766\n9205 46741\n23486 71770\n57413 87288\n5617 40918\n35022 93389\n50533 61828\n18997 91595\n56793 83621\n42215 54693\n15732 63761\n8752 97053\n9511 56339\n84381 93667\n55690 62305\n10152 80468\n2807 68106\n86215 93189\n13715 67396\n55135 61569\n3399 65357\n67338 97358\n89484 91719\n5272 53406\n37973 45336\n19841 28630\n22824 96937\n3023 55653\n63685 64907\n65048 79727\n24930 30284\n20625 61322\n31357 61752\n70446 98275\n8708 42763\n51302 65442\n29088 46159\n26390 29293\n84093 97253\n43088 50620\n42186 52674\n53919 86041\n3902 75498\n4296 58599\n39994 89005\n66389 89844\n2095 21664\n1163 46564\n9190 87671\n2023 9420\n31895 66513\n27720 90076\n23503 86660\n53983 72960\n27725 56894\n49852 94460\n38386 70911\n9420 60132\n25098 99036\n40431 50232\n19454 91927\n2798 32623\n12593 27637\n62928 81171\n47744 52689\n8486 18330\n363 33376\n45774 74628\n22181 57749\n5219 43161\n8286 65052\n76724 96667\n20112 21449\n66870 86515\n13458 90177\n56385 86326\n37830 63086\n11594 89484\n52226 95098\n46921 95464\n58797 76083\n27063 49703\n61916 63641\n43308 68670\n70384 97793\n67731 90497\n2685 9242\n1340 45357\n31278 96452\n36104 42772\n39535 55057\n51808 87509\n87155 92671\n1199 46841\n13553 39707\n85611 96070\n19195 26483\n11318 64556\n15814 30993\n527 18920\n449 53444\n6618 67182\n27706 76400\n10508 44987\n21357 95336\n35911 66438\n24223 40502\n650 68823\n44530 49991\n45187 46708\n90218 95020\n67026 77242\n6674 61561\n28210 73214\n25691 41515\n288 43372\n60414 68009\n45770 55726\n23958 73533\n2388 48569\n17134 46701\n48419 71334\n35281 79863\n62146 93372\n12103 96762\n42493 97159\n5563 22074\n42595 89772\n21135 30963\n24898 62868\n15773 73883\n31380 56155\n50302 61342\n66580 68568\n43332 98563\n14285 27560\n44758 68466\n53224 85700\n85779 91367\n33431 41371\n48016 90948\n51935 70673\n75767 88743\n10679 41954\n25356 98588\n74406 84253\n3111 97491\n23321 62008\n47685 74075\n31492 36136\n44658 93197\n52945 64229\n48972 61316\n4842 94379\n75612 87579\n55787 61078\n89804 96344\n20019 47347\n4311 50867\n51136 63179\n18692 28104\n44188 59212\n38448 88212\n13572 70732\n1108 7346\n16517 58012\n5328 22912\n3219 68061\n13480 38972\n10602 52944\n59627 99349\n32111 79393\n5272 8949\n14058 34974\n218 54406\n35023 82124\n4545 42040\n42147 87030\n55976 97619\n15481 48868\n2886 51679\n13209 67563\n37457 54629\n76822 86797\n39454 91471\n65424 88944\n23300 86972\n33496 61530\n38112 49093\n14267 49915\n50086 95910\n20430 40184\n3170 14594\n14937 95855\n16605 38649\n35556 90001\n34696 95665\n37909 94724\n47006 88189\n26401 92572\n50698 85032\n18824 37327\n48214 64785\n42177 74300\n35477 66382\n8141 8999\n17030 47806\n4783 19249\n44189 99801\n19914 97694\n42574 94299\n18444 39463\n1517 38282\n98049 99525\n59127 88080\n74 28076\n12051 78937\n81441 99934\n74600 82182\n67697 71688\n42262 97727\n28944 56384\n72183 72982\n7822 11822\n57826 78305\n60538 72529\n5522 13231\n20429 70563\n33820 89765\n19817 95816\n32700 78027\n22575 50718\n10167 35368\n44740 66181\n67535 79656\n54872 70908\n3071 67596\n51481 89300\n52941 98272\n24446 49221\n65534 78723\n56829 59940\n35395 58756\n68078 71934\n58946 91086\n22369 44727\n6651 71421\n19333 47696\n5440 45673\n64142 82329\n15599 51100\n81289 89201\n61202 65298\n16326 99036\n11669 56997\n78152 87513\n9370 36871\n40404 80860\n37079 99670\n3864 68975\n20227 68864\n44830 53751\n12501 85219\n47773 62157\n78956 84066\n13134 94025\n58620 64332\n72829 77335\n11483 39640\n56859 96479\n35728 39566\n34828 55527\n4408 49819\n44840 48444\n37053 92152\n8763 45412\n15399 81123\n64541 78236\n17424 96811\n77211 77972\n5181 85514\n29168 81549\n61634 72239\n7104 24798\n46766 52742\n21165 30892\n63958 69388\n21682 47085\n7616 57321\n34647 43307\n55696 73600\n2929 28181\n31152 88590\n50846 92382\n58028 90043\n85198 99307\n33074 43679\n80152 87486\n11895 61893\n66928 68628\n14852 70957\n63708 71080\n3555 72716\n42699 68686\n82050 84090\n57639 70870\n162 78090\n70021 91023\n9532 20393\n40088 75712\n23152 55522\n74408 87353\n51528 99228\n21295 71321\n3140 70147\n7849 80123\n46574 84538\n9012 72230\n24093 25161\n48526 62805\n10010 66365\n23973 31037\n23228 74372\n88127 88555\n47138 81494\n79908 93114\n34854 54551\n18530 98842\n24575 59193\n71107 99266\n13527 82579\n59484 65247\n7764 92859\n27513 82465\n23604 32304\n4688 77816\n23156 47179\n68900 87619\n21749 81780\n25135 28225\n90241 96756\n24730 63444\n10088 88950\n57886 97691\n6204 77354\n75100 83731\n10236 55610\n16452 59046\n47851 62582\n62579 62874\n15312 82222\n42076 84479\n11171 12806\n35426 41938\n390 65883\n40617 74059\n22341 94458\n79542 89156\n6968 55510\n62392 98204\n1758 43357\n60834 85661\n28643 36047\n43266 51281\n16839 66770\n9010 29434\n33679 44378\n24864 79965\n30037 90179\n3522 53239\n52482 57661\n50702 88096\n71981 79550\n55234 78028\n9252 11172\n71358 77776\n3485 63504\n57662 81095\n1346 88010\n45215 78877\n50046 94626\n8920 45945\n33782 95127\n88647 97752\n26415 35385\n10390 93222\n13579 52752\n23592 44569\n24840 44013\n66775 84866\n12116 13238\n51594 64455\n52670 84363\n68381 88467\n30283 75796\n28561 46494\n63047 98211\n77788 91688\n42913 60786\n17228 80972\n39141 76120\n21187 97621\n30421 79601\n44229 91530\n85676 86228\n4432 75138\n18393 30924\n64896 80688\n32231 58716\n76428 85412\n29575 61291\n10502 21531\n29257 67528\n14902 49323\n28192 94110\n24771 72578\n13584 22509\n41312 49056\n31236 54211\n14796 84944\n28458 89733\n5316 40396\n66101 88033\n59987 72370\n14148 86656\n64969 75324\n64254 89581\n45499 78307\n49853 81151\n29770 39626\n3782 87090\n14566 87817\n63345 63486\n3043 43847\n29022 89814\n64257 79794\n10892 38688\n52277 84233\n5738 41013\n23806 29769\n27621 68661\n52907 72113\n39556 71883\n55240 96457\n1105 58214\n18689 89640\n5966 66758\n26815 26967\n15329 85133\n7553 51384\n35613 70658\n65460 89997\n4438 84065\n13024 60980\n18524 29892\n17259 76251\n35125 43355\n66244 84001\n13695 33083\n27295 82270\n44322 61918\n1799 83120\n9894 62291\n52595 65648\n53158 83548\n22278 67483\n15142 77173\n96100 97254\n8376 50413\n27274 59854\n57054 98067\n79173 92170\n64312 75990\n68956 90979\n25380 56577\n7478 73108\n37692 73690\n18319 82721\n19813 39970\n14730 66030\n54034 60875\n2885 58268\n25321 67565\n23200 75922\n18096 38544\n61851 87332\n29846 33622\n62188 68498\n56231 56620\n19609 43731\n37751 52096\n78869 95694\n71448 89084\n35652 71521\n46487 79749\n30075 59734\n71508 98663\n34752 38667\n31183 40486\n32309 32552\n31260 73039\n4581 89682\n52181 89576\n27627 30429\n69782 80105\n85293 86041\n38769 77868\n59666 92416\n24032 97372\n16293 22744\n79422 92942\n57236 79675\n17447 75353\n25078 33694\n63907 79462\n52937 85941\n82298 91785\n34619 63339\n69582 90670\n20915 22646\n7396 62921\n58634 76941\n31471 32160\n15863 72453\n43455 63732\n42863 75975\n10150 44493\n68888 77152\n5736 79176\n8255 52948\n31677 50250\n38413 53194\n9605 27292\n71758 76652\n34482 93827\n25943 81957\n6087 71556\n2725 15106\n28119 89429\n43103 93059\n27423 55268\n29323 54946\n16431 35142\n26379 46859\n28456 95802\n1436 46852\n4472 70999\n73214 97899\n18781 57340\n55646 99952\n27613 79223\n59342 96984\n10195 33788\n66372 74475\n15864 18778\n85423 98623\n1308 86462\n16383 55645\n70592 76289\n28190 29902\n32117 91281\n12336 50427\n79741 92091\n28432 48843\n50965 86967\n16376 24840\n45398 46046\n8341 67257\n12850 95531\n51209 97140\n43345 65538\n9296 36760\n16224 76779\n71873 73296\n41116 73666\n4625 69170\n19969 97519\n32836 77023\n7558 65131\n42614 83267\n13767 89676\n23245 87567\n67370 98948\n12448 67555\n11138 44083\n26933 96859\n12654 28115\n1317 27639\n51132 60533\n83834 98307\n17954 19287\n3373 34432\n28261 47611\n27119 79232\n4695 85324\n24161 30919\n40064 97782\n3852 17744\n3128 51266\n47095 77620\n75107 85995\n14863 28853\n27877 44716\n3051 37964\n6690 46214\n41088 61267\n61278 97152\n35539 35572\n6461 56162\n29047 39908\n32400 66124\n30199 97343\n48538 81506\n17893 36445\n13494 18738\n15101 98946\n64728 83263\n4273 48734\n56973 76213\n46900 77506\n35983 85356\n32419 80580\n18601 29465\n19123 29426\n66350 98849\n77687 81678\n39615 86378\n44831 56766\n1620 32176\n14926 86037\n685 68504\n54503 63167\n38348 41237\n36633 73726\n7590 22562\n9065 88172\n14874 56025\n51289 68799\n97317 99802\n4382 23186\n16278 55695\n50742 78215\n42360 65345\n5978 19076\n3600 12532\n14334 30213\n57921 67979\n39698 88469\n40943 45267\n5633 10011\n39784 62542\n60757 68213\n4682 33680\n48016 93050\n15395 72146\n94270 98927\n381 53603\n7248 96339\n42441 72154\n91516 98686\n5949 67605\n25867 61747\n59796 85417\n61571 81705\n20162 89969\n38820 78764\n58423 72841\n13314 35710\n55591 56726\n62593 78307\n8007 82087\n15773 28264\n18693 76387\n26492 71557\n24009 94456\n24275 57608\n39485 70006\n35246 58357\n66918 87271\n27202 38085\n10474 52420\n56820 81825\n51683 79121\n50916 60644\n14045 46228\n46722 93080\n57955 86908\n90070 98152\n64805 82578\n24364 47187\n23863 98029\n18163 49022\n13131 65849\n75904 94046\n47763 68857\n29924 99322\n15458 34262\n91804 93449\n50204 99541\n22158 52045\n32935 52791\n54687 61696\n28609 78406\n1562 94530\n15439 51337\n452 19903\n56058 64215\n45924 81680\n25667 90607\n9577 46306\n28295 93383\n23188 91375\n28575 53311\n22814 92138\n7220 47225\n50744 87479\n45155 58681\n14623 30074\n82196 97973\n1283 68605\n12105 98885\n22913 70175\n3627 22300\n39732 58866\n27569 86322\n16571 33289\n8453 29264\n79087 84274\n42168 52765\n69655 72820\n364 60483\n47698 99458\n19049 33447\n17659 79316\n6144 6632\n39445 89954\n11671 23307\n15603 97147\n38549 76938\n72048 96275\n1175 91619\n45253 91417\n5413 65618\n29585 59761\n74889 79733\n22836 62186\n31649 39465\n22225 27103\n8243 25315\n28718 61084\n26537 73136\n34021 95221\n21762 23545\n13795 75141\n26985 56377\n34449 75869\n79336 87629\n22476 94258\n21432 68226\n4497 89277\n23706 62096\n22770 52009\n4818 72449\n12500 38811\n48845 56980\n155 88863\n46262 53813\n27594 35544\n62320 75961\n44847 93388\n40175 45643\n31660 86233\n56899 78843\n28265 91089\n32847 89518\n765 44688\n9218 76027\n50971 56626\n51763 87100\n70715 80876\n38755 38849\n8962 74913\n10343 99002\n56711 74516\n33309 99670\n40470 88342\n20541 76902\n48236 63991\n52886 73075\n27295 55704\n35315 97625\n38244 89966\n9838 18767\n39537 43099\n41028 97492\n23737 60329\n52461 86606\n20881 58752\n61333 81856\n34481 99259\n47944 74907\n13962 53957\n32255 76008\n9216 88581\n48677 57967\n18930 19387\n11071 94831\n22356 58918\n79758 84977\n11090 33316\n40486 98478\n18524 33956\n69799 73049\n6499 68423\n32347 40710\n23277 47604\n14101 77561\n16619 95555\n8090 10309\n46423 85133\n78153 87938\n47557 79499\n25437 73707\n996 36244\n40084 56063\n10305 71778\n56466 91668\n46379 79472\n6466 11133\n24951 91375\n62639 63759\n81614 87134\n11809 66311\n66652 96258\n15712 93044\n75339 84861\n24542 36136\n32786 92675\n27092 39278\n67513 72468\n13913 20420\n36221 41278\n48844 56679\n39434 52815\n29801 82070\n76043 88942\n17116 70726\n20700 64395\n73093 73590\n29775 51390\n38393 44601\n45150 63674\n37288 78003\n60852 89053\n4047 84382\n54261 84541\n23318 55064\n11587 60670\n10933 95161\n53185 73581\n54661 92059\n61746 83458\n27389 56455\n17307 55849\n18146 96741\n38131 69442\n24458 70823\n13507 93393\n11230 87137\n44040 63707\n72142 83756\n39020 45841\n19162 92062\n47327 64780\n47898 77571\n19153 23119\n55133 66019\n18782 30402\n48818 82436\n73678 78879\n36424 77889\n44076 50351\n10606 37582\n21761 49447\n48969 77467\n21878 44999\n11109 82445\n71713 90446\n49071 82544\n49570 93800\n6351 46006\n23614 23717\n67660 80044\n13893 52272\n54756 86647\n6848 29537\n8719 30930\n82593 90036\n60450 74503\n11701 93814\n12439 91321\n60344 70053\n53791 73883\n24085 54779\n16902 27204\n33939 46981\n3985 17604\n427 63378\n30670 72265\n25363 79876\n43977 53159\n63652 64084\n56823 61966\n42274 83360\n2141 16901\n37869 70074\n56263 69325\n8668 93265\n41763 55437\n30727 63508\n55029 74366\n29438 48581\n25595 39411\n54334 58018\n19746 45673\n29824 34957\n20110 44064\n4691 58925\n22542 37410\n32720 74477\n13046 97481\n659 51607\n36446 46016\n44151 57649\n18612 26082\n28930 42083\n2966 8417\n74393 94297\n2304 82087\n41671 59684\n32097 64632\n22623 42353\n72083 90649\n904 80249\n61272 81292\n3900 28361\n83141 84364\n37186 83002\n12217 28533\n72763 94943\n18766 25049\n9910 49301\n8068 52385\n2577 88218\n53731 88731\n3128 33629\n7927 43656\n3836 57534\n14283 14738\n4555 72489\n5947 23210\n9420 44310\n14006 86164\n55715 83140\n28514 82804\n32998 56560\n24342 84720\n1929 45867\n60125 90535\n71850 77312\n15984 60680\n46672 70441\n76592 89843\n66362 94625\n77091 85786\n46069 99098\n17193 59218\n13973 44008\n27248 45301\n36166 97943\n74643 78690\n32972 66981\n24960 64176\n12989 58822\n41148 55973\n5773 19578\n65835 96933\n4355 55852\n33497 80800\n38074 80268\n6755 53882\n75173 84825\n35450 85243\n2455 10398\n8827 77481\n55618 56976\n18838 48325\n75315 85961\n25623 42422\n17790 35188\n27981 64842\n12162 81408\n54136 71152\n38882 73331\n3616 70877\n20193 31328\n12071 45084\n24034 54521\n73691 74842\n30317 66840\n14270 20241\n15489 59833\n19056 97591\n56283 66506\n10835 43870\n20479 49481\n3665 95036\n48826 95847\n47113 66060\n1801 63676\n15945 55395\n27135 42316\n66584 77399\n74424 96300\n66307 75469\n28491 46539\n78950 98768\n74672 83870\n1318 31135\n4433 99222\n83170 87235\n61100 69098\n23704 84378\n37276 72445\n14142 37899\n84783 92404\n90346 91962\n16820 58259\n3365 68832\n87224 93829\n7513 89042\n60683 76190\n25868 87887\n26374 28975\n37148 78134\n1322 74159\n37028 95926\n20990 53465\n62229 75014\n11667 85720\n17350 59826\n16313 66228\n18072 22514\n56892 58920\n43358 57980\n20845 44092\n34972 35028\n11652 67190\n69611 86103\n60120 60245\n37715 86744\n51662 92861\n20032 95030\n65787 88399\n2595 12485\n34674 81305\n16729 17199\n66381 79832\n1296 13328\n8711 18107\n11740 14541\n37687 74966\n3754 48013\n26369 42221\n12419 84705\n75100 88781\n71506 85330\n10968 73294\n50527 79133\n46127 91771\n4551 16202\n20785 68241\n14151 91417\n34390 88445\n82722 96237\n32855 98549\n60924 97940\n65551 92867\n34736 86381\n20491 70723\n95501 96717\n40440 57194\n34987 56375\n6927 76208\n22199 84234\n6647 92496\n76194 98609\n61506 68641\n38847 55114\n24811 78164\n13660 93407\n20622 57806\n9478 16878\n4905 5620\n22937 76457\n28580 90973\n5286 60085\n35058 93084\n11879 89758\n54510 69312\n64161 82018\n45996 59394\n35542 59091\n52287 64058\n5368 98171\n74745 92331\n51926 75773\n60754 91285\n62692 79116\n5426 46424\n42077 59132\n12623 76542\n36711 53308\n58457 96516\n10477 31704\n51445 98701\n74072 92623\n68472 79444\n48179 51821\n6899 45805\n6801 74001\n20669 21895\n72862 90707\n40792 85457\n5065 62915\n8558 82872\n58431 89377\n4712 93429\n5908 43392\n3048 12779\n64920 89421\n11585 30327\n46629 67294\n36184 49842\n36795 82185\n85096 89021\n18809 20904\n3384 64094\n29079 69836\n39663 70908\n78226 84561\n44168 79401\n39439 70661\n7445 75072\n94000 98565\n4250 57793\n53135 87771\n84390 94166\n31991 89837\n25773 39312\n17076 39510\n23898 91351\n6481 53132\n33812 61716\n34022 80937\n73786 86113\n48011 80597\n3229 54896\n26471 97134\n1270 94465\n29154 61005\n11755 26268\n69408 76322\n46778 70698\n14871 45766\n50573 55602\n34089 76876\n7897 89083\n62764 82354\n43001 91679\n29135 49373\n17817 24101\n38636 60372\n67819 74850\n17791 59863\n10995 70545\n13790 32589\n39448 91683\n34345 36033\n14111 51438\n22779 23860\n18938 24549\n22853 39776\n11441 26119\n76510 85971\n30954 63862\n18427 29993\n51590 53554\n2836 74161\n54996 80237\n306 79398\n6331 74208\n12611 74217\n7913 46327\n33351 93308\n66511 90759\n15868 93561\n8494 28051\n55289 59915\n37491 74025\n20924 45455\n4167 74565\n34431 58078\n40780 58693\n50120 80277\n46613 51723\n14816 89366\n40664 47511\n15018 69263\n49680 51970\n7642 41362\n38799 58338\n26837 97899\n41996 94342\n34192 35792\n41051 62448\n31226 53830\n5817 81544\n44533 89771\n3806 83222\n73279 86026\n30788 81837\n67239 86262\n41083 82526\n12910 73317\n830 33223\n20472 59208\n24865 88691\n46223 75190\n44853 45570\n33130 61331\n22252 96956\n43426 72672\n58750 81242\n92115 97856\n19015 89643\n17471 95091\n64946 89942\n23823 24112\n39212 49272\n23573 43214\n53610 86955\n299 9944\n15688 99520\n15855 24044\n54585 91007\n63392 93575\n572 89919\n95378 96070\n37674 65937\n14032 85896\n71394 71427\n41287 57203\n733 85551\n39361 69203\n4441 26820\n441 22401\n2853 46750\n14491 95843\n42289 82613\n6683 38401\n45801 79957\n8269 36862\n22283 77571\n41530 79969\n10008 31006\n46910 79939\n32318 76147\n13044 29010\n34950 88190\n33994 99374\n9157 40454\n14586 33890\n9450 65391\n31463 60170\n30051 45175\n20661 46657\n30741 35895\n78130 78786\n31675 53875\n20350 76741\n13543 51344\n2208 51288\n63568 84590\n23566 34486\n65416 90955\n71497 72038\n29342 83034\n80200 88826\n33498 90046\n56307 72952\n8476 93622\n60844 91123\n20830 48631\n15072 74054\n22996 98434\n18145 85585\n13703 73988\n48147 64984\n18247 64142\n34137 71672\n81132 88923\n64038 76802\n42056 59123\n23391 28868\n17935 59126\n12829 45560\n14582 65786\n64724 72289\n3149 81844\n23793 97804\n59602 71829\n1673 57129\n19562 54091\n45592 48057\n17394 57484\n36489 91870\n24674 29610\n27152 51940\n49930 82784\n7372 90281\n34016 51633\n12387 81866\n12250 78984\n38301 99388\n15961 99725\n53574 63876\n54872 68895\n700 42921\n32310 59287\n2469 83425\n11867 16131\n48485 74890\n35851 61786\n6756 26752\n82752 94408\n12356 34073\n2861 30548\n13796 72567\n53117 87936\n41560 95829\n75918 86817\n3453 62693\n1378 73457\n69281 76810\n7330 63374\n93514 96586\n2982 54477\n35234 89823\n48626 90671\n7625 10714\n45573 74407\n36522 81232\n15396 47483\n57499 67580\n62777 88343\n5500 18198\n52819 55798\n1838 84956\n65002 89133\n7123 66318\n38030 41078\n31562 64823\n59684 69148\n17285 53436\n37850 45280\n45755 89962\n33119 92041\n39703 65221\n21792 99724\n11713 94036\n24272 89146\n69309 88321\n40694 63289\n11510 86677\n74031 92890\n4273 42090\n7731 98246\n65660 71041\n22657 24419\n7784 45299\n37615 95028\n9976 48784\n73022 99199\n29536 51239\n413 84488\n27933 44273\n59015 61204\n8289 72564\n21719 58155\n7220 69342\n25023 29867\n38754 45532\n49841 89149\n23681 87183\n34004 34417\n25920 70328\n59931 60173\n30001 85293\n12618 65663\n38315 94996\n27085 85634\n64019 98501\n27556 34274\n56679 76408\n39339 45042\n55627 59107\n17370 40073\n34695 99963\n61375 98860\n42584 47241\n42696 55161\n3611 18083\n19862 52492\n2653 44059\n57449 69160\n87164 93512\n34650 89368\n15732 80885\n9188 85225\n43757 62566\n30437 49141\n82599 85947\n14828 72082\n67789 81220\n30182 37109\n7840 34497\n3147 38257\n14252 61907\n55420 89203\n4534 7014\n26266 90407\n3866 13668\n14450 60845\n6849 97982\n26942 94664\n22465 40474\n58315 92319\n1159 85608\n23037 32534\n2955 44972\n11263 97121\n23469 97811\n61132 83879\n8201 36111\n62485 77354\n26362 98932\n47669 77792\n22862 52623\n84072 88832\n31558 48626\n11721 47095\n35961 39451\n9164 12437\n60658 69519\n10010 86329\n22791 64301\n13186 24818\n23238 40268\n35730 84626\n11807 12965\n21201 95146\n13383 55530\n13131 41313\n64617 89603\n1122 54588\n25250 55433\n34819 83329\n35138 72408\n58863 75049\n9643 74164\n59448 97765\n12947 60561\n770 97431\n17701 51611\n28278 74102\n11993 39728\n44078 85778\n33606 88004\n37538 61607\n5662 84922\n59237 74336\n41913 59897\n42623 68398\n8855 51353\n32849 42422\n41124 75881\n48275 77614\n21084 78853\n52578 59168\n63124 70937\n47524 77911\n1605 37463\n35947 37704\n54614 68695\n10130 40675\n17291 86337\n7849 77286\n57069 73808\n27532 46585\n11283 29032\n44459 69322\n15833 56013\n24409 76542\n22511 80342\n51860 77136\n15504 55832\n47263 70271\n82684 97811\n5181 43601\n36219 58083\n5316 32324\n86950 88741\n8825 37504\n59754 60999\n19131 43401\n12237 14754\n23005 23592\n47159 81569\n33099 61220\n6741 13841\n29105 95538\n41450 65948\n56602 66337\n42305 70381\n18281 21129\n12430 42809\n33397 66610\n42009 50112\n27182 82814\n30944 81064\n11287 17765\n37626 48144\n66089 97785\n49288 73913\n77063 79442\n11940 34956\n57360 88250\n8852 99528\n15183 33878\n18865 86070\n61154 68868\n19513 65717\n56012 88214\n26846 74342\n32691 70934\n5184 9225\n39791 86010\n35802 61398\n59098 79863\n50880 67335\n65537 95206\n39863 62928\n55559 86251\n34557 97343\n37775 45227\n10833 51361\n47933 53380\n8896 56784\n59344 90482\n65032 80135\n11587 43509\n23307 25984\n81637 89373\n40148 52756\n4939 36323\n9270 66966\n32741 98466\n88765 96265\n64647 83743\n4015 64042\n10791 88756\n57722 78882\n1342 48033\n36119 76715\n62274 64607\n62416 80747\n23798 91556\n79798 99604\n55580 89097\n13310 93788\n21347 51049\n12999 49132\n40313 62847\n86163 94850\n35864 84078\n17159 64741\n14109 74846\n4406 77977\n17745 24365\n54875 63225\n17091 97358\n53412 60725\n20669 56749\n53469 65828\n39328 44062\n49851 52002\n45127 93170\n34548 56850\n59631 88835\n4277 50740\n39877 58925\n15313 38528\n9146 33111\n11368 50745\n85750 99167\n4560 4853\n68825 84390\n17661 64876\n60392 67499\n6041 78721\n17115 76283\n1225 17902\n36689 74554\n64845 92294\n12038 25443\n32916 80008\n41159 97518\n41859 72440\n43753 92341\n33981 68378\n45543 54570\n21687 93174\n32790 55560\n3837 96361\n52173 95686\n13998 94405\n63914 72476\n19854 89144\n38104 58793\n46930 87390\n408 35530\n51719 84712\n73270 85960\n14597 32102\n19479 39006\n16670 51818\n5420 91693\n77750 93247\n11232 74216\n1190 16727\n11264 98774\n79282 81496\n50902 66245\n56223 88170\n70308 88175\n36241 47424\n25485 78935\n1373 51135\n43894 61986\n5953 87356\n12401 76479\n40008 60709\n23192 96291\n15265 74236\n31833 42679\n21173 44103\n10698 89693\n34063 84310\n30581 76392\n12594 24240\n59625 84026\n10616 28752\n36429 71258\n48763 98499\n10942 75449\n38470 54448\n53231 73946\n24271 66469\n58505 93941\n54499 57740\n10262 15138\n10153 45212\n685 73442\n60593 82273\n25297 60714\n1982 58876\n12443 64522\n42101 83399\n7061 17097\n5119 37947\n9038 9564\n2270 55398\n47628 65537\n31645 85534\n7834 17386\n51944 63704\n51442 85708\n40911 73294\n61728 75153\n16643 43369\n23712 32018\n34513 40293\n62762 70698\n25048 64431\n31228 44872\n44646 72188\n22158 56959\n5467 82644\n64034 73372\n23238 50491\n5364 81139\n35707 73032\n7764 85010\n1773 79510\n6360 9106\n31412 95249\n20955 94443\n27908 38445\n20359 27644\n74355 93858\n2161 77223\n97422 99645\n13446 73959\n20935 30701\n34175 55957\n38325 44772\n36877 66872\n2089 77351\n58145 60289\n33388 75366\n50187 76017\n11595 65831\n28498 29709\n16757 83521\n34426 44025\n89981 95170\n35642 36018\n20412 54759\n43709 60570\n31885 41617\n53279 69837\n13221 92064\n58647 61613\n37413 79542\n63749 79796\n15478 77126\n75169 84082\n56325 84154\n81443 95580\n39452 50898\n18494 98504\n26082 30576\n42711 62010\n185 33215\n29597 89771\n26315 58443\n62054 92209\n70805 72865\n39416 97329\n70112 97893\n72940 97819\n20029 89823\n77970 96149\n9017 41098\n8837 48737\n42865 91841\n85851 89156\n67531 99155\n63722 84544\n78154 80883\n3425 10462\n74053 91754\n31848 50506\n27604 84974\n30195 82419\n3633 34330\n16362 18786\n36540 57325\n43646 97179\n6161 59733\n55328 81475\n6350 15817\n39156 42650\n84700 96450\n50057 86639\n20959 86779\n2414 40446\n64362 91783\n13845 92585\n15056 86275\n71383 78698\n12287 15027\n21491 82492\n25106 98353\n50357 71405\n16301 23618\n60823 75857\n11536 73290\n83997 89886\n28877 42658\n54725 96154\n28719 56665\n9589 49345\n54022 82029\n28148 74324\n31341 71684\n28496 82373\n4401 47355\n19279 64111\n22315 24048\n31200 93502\n826 53923\n73154 88381\n30311 48270\n8892 29318\n73160 91317\n8816 94877\n3957 42993\n39787 73021\n11478 39026\n12254 38064\n42286 51365\n42719 83032\n492 38349\n50149 97297\n4154 97090\n45719 89115\n49477 80053\n37600 63255\n37575 63719\n57100 61029\n76162 83921\n61165 82269\n1839 69978\n31682 60665\n4046 83759\n9394 25858\n39965 52867\n20440 35046\n8910 41977\n10952 76323\n15689 27282\n54906 95799\n15529 58357\n44121 57961\n59277 63239\n36925 94337\n11431 51902\n46286 82635\n45584 91356\n12780 12896\n58800 85664\n47764 62420\n28768 57785\n54807 76000\n35595 78622\n27776 96293\n10217 13188\n28764 49329\n20676 71965\n38299 77655\n54701 83718\n3039 5255\n39118 99590\n16646 62445\n4880 39068\n23250 91882\n22396 63606\n51996 74775\n24280 51375\n11072 30505\n46854 99420\n25593 67230\n12464 76767\n61993 81643\n37189 93307\n10540 33829\n26240 73685\n58563 61884\n50910 64654\n52148 95533\n44942 62394\n60496 68560\n53759 78023\n34953 89374\n5238 96991\n83207 87632\n14733 94883\n9058 52261\n28275 53922\n12084 89985\n15967 32563\n23679 27718\n71190 78029\n4049 22198\n513 36320\n76460 99215\n13692 53180\n67653 96258\n9414 51641\n22682 44451\n42598 67237\n7124 82329\n63133 92129\n29265 79989\n66275 66893\n52361 79785\n54562 73373\n31410 35928\n45289 82177\n20530 99231\n45403 45613\n7555 59590\n38547 87976\n2782 25416\n7734 84367\n79496 95951\n9282 56972\n3716 10418\n63729 89342\n15597 65107\n1975 38581\n60211 64291\n24567 39002\n57804 69659\n50281 69837\n33287 53080\n26873 70239\n39427 63545\n42859 81869\n30626 99739\n18831 33928\n23331 90864\n318 79935\n17209 31044\n61211 78097\n52718 82268\n22140 58667\n635 60874\n9032 89943\n57666 90451\n15184 50940\n1791 50887\n91366 99397\n7035 55133\n52882 99963\n2205 99466\n9014 42199\n38545 87941\n55508 62617\n640 11047\n20344 99923\n49043 69404\n15357 37038\n26151 98282\n31900 96608\n15469 51892\n34382 91875\n30745 75874\n33540 70600\n21159 30772\n18101 86989\n85430 88713\n8999 65722\n17568 66651\n52478 70975\n10385 41965\n88502 99662\n417 65980\n34034 49667\n42608 82103\n74368 99896\n23254 63846\n16339 45189\n5649 74112\n33288 69668\n5470 94867\n27996 73004\n9452 70302\n23631 95273\n21293 46403\n8647 73952\n17026 45394\n46216 58817\n32931 84728\n34069 52105\n18368 67906\n17213 30062\n56739 57324\n69740 88043\n22663 55918\n5988 35786\n33304 78333\n35011 67608\n1044 15953\n30855 64114\n48939 67833\n17541 19789\n46273 54277\n28724 49285\n21257 41417\n15749 48768\n37410 85642\n2571 75281\n25179 42506\n60898 94253\n12562 81991\n53846 97621\n2247 19816\n69938 80177\n41334 98847\n71157 94805\n21583 81165\n12883 24250\n42992 64047\n66447 93657\n55507 71495\n8662 44006\n60590 70531\n10046 69598\n25100 67988\n4730 71755\n42678 73654\n31579 75487\n32755 86107\n22196 40347\n53100 95834\n26283 86133\n61537 69437\n16546 85056\n62776 88824\n52327 57086\n68196 84109\n49813 78798\n54512 99690\n55870 61912\n16984 56332\n37013 81784\n15392 56486\n2949 92825\n11274 26171\n17055 50579\n3999 8604\n52420 59451\n78988 82566\n18972 67591\n55640 88003\n38523 53516\n862 75309\n5708 32536\n25589 67818\n48681 93920\n45107 66105\n32483 87671\n77087 84738\n17617 73032\n6567 39925\n40712 90000\n39463 50953\n14099 17890\n12937 89812\n33281 62981\n50464 58694\n72772 81980\n47858 91572\n11209 56548\n52909 71466\n46768 68593\n59599 91030\n22023 38046\n76940 77811\n91898 98415\n57759 73442\n51947 86399\n16501 76506\n16566 74030\n2905 86909\n44999 85042\n22917 26892\n13319 66642\n24975 79385\n78332 88932\n83162 89762\n20414 65783\n34354 46530\n55630 65443\n59060 91739\n1789 87565\n9508 26396\n87921 90295\n16240 31346\n44441 61278\n76389 93421\n9885 10840\n17124 19290\n4426 26074\n16283 30381\n48576 53181\n15072 61484\n20744 65978\n69496 88283\n64763 87897\n74670 87928\n90520 91339\n35098 83807\n32115 93828\n32870 49074\n6797 44928\n1860 32546\n18451 57205\n42663 66931\n22357 37904\n13652 73547\n33381 79371\n4255 89670\n18782 60502\n26854 35281\n12903 98213\n31250 50675\n2861 76044\n3716 77525\n21958 39940\n3475 95530\n55514 66330\n47517 66220\n64205 99250\n44883 58674\n87868 91122\n21414 65184\n40305 82471\n52049 78698\n6732 90241\n13715 60888\n88224 93155\n3459 69847\n4660 55872\n612 88540\n5024 54910\n51417 63253\n7146 24237\n17082 63055\n24269 59485\n23669 85851\n24590 95704\n2724 13192\n60274 76044\n52235 69795\n54471 61900\n38165 73846\n21196 21541\n44531 66794\n11269 63050\n51566 63289\n17979 18996\n12983 87264\n6114 89290\n8181 78788\n56808 80969\n2097 96950\n16243 93689\n6357 27088\n69081 91821\n40563 88763\n55030 93557\n59878 64505\n70805 96536\n6671 77693\n31876 48262\n44813 47875\n8349 24790\n64405 82531\n41522 73318\n5984 21141\n47666 88957\n62464 80672\n78995 97470\n34792 56187\n8161 68653\n17981 18325\n35034 77240\n19797 26453\n3870 18943\n5480 49672\n8061 83880\n21844 80894\n39011 81971\n4111 90405\n28972 61023\n433 45586\n35349 85575\n822 24848\n76857 80882\n4392 69545\n9722 41033\n86519 91124\n41969 95397\n28299 71019\n6136 60254\n81519 84410\n19691 39271\n28130 67721\n10299 16782\n56208 73964\n44798 81047\n35229 64562\n28416 96212\n10685 84945\n25404 30465\n8604 48862\n15740 55479\n63305 94299\n22951 68025\n22410 48460\n10722 70473\n71568 72580\n29791 74812\n50210 63543\n2085 28388\n75075 79872\n34422 64831\n51637 72130\n36185 83519\n1588 97926\n18157 49968\n12328 97586\n18933 71315\n2964 23008\n1576 27263\n19654 86700\n73064 73839\n24883 53616\n76388 77744\n5009 19954\n8543 77921\n30428 60391\n47791 77483\n22631 48179\n28012 91016\n23078 88565\n42653 48103\n9425 63297\n69044 83614\n4347 69736\n10933 80913\n3667 63375\n23961 25884\n63788 97075\n10610 54909\n25645 72510\n18768 55905\n39561 93571\n48488 88594\n11178 46386\n13127 97893\n3194 24692\n35294 49764\n27443 35623\n22838 33425\n46283 89340\n67620 93836\n62921 93351\n35868 47528\n19329 28397\n37797 66940\n89792 91258\n43300 77394\n4397 17711\n43208 77998\n69471 73904\n39049 48859\n28034 78475\n26856 47273\n11803 59874\n53103 99337\n35678 45032\n22833 93911\n72207 96988\n16691 41291\n34185 76961\n18629 99578\n11349 13370\n64283 97794\n78116 88566\n37068 94349\n27986 98772\n7077 35161\n16746 54581\n70931 75659\n12055 46754\n44691 92494\n45257 85306\n33718 80945\n24184 48562\n15506 89409\n12921 34553\n27380 34774\n58619 64804\n21769 45968\n6880 56162\n28047 45343\n6424 33923\n55098 56961\n61893 67506\n57480 60689\n17477 68505\n1018 25986\n60909 66817\n86142 96923\n14390 94664\n12715 87741\n46655 90508\n19574 48773\n2283 52708\n86922 94132\n7812 33534\n58150 70415\n30380 43842\n497 20319\n87753 90577\n59860 83284\n14138 23132\n17473 28003\n1187 59612\n26232 43634\n6994 14508\n50933 80389\n67836 93047\n33208 38721\n12820 50107\n44888 63758\n40556 91423\n46596 95738\n20871 65608\n76736 92377\n44108 76826\n21571 37552\n76716 82817\n41696 68449\n6189 56481\n12151 33587\n28795 74456\n22493 62961\n31037 34926\n5321 89754\n7583 31467\n486 49103\n41892 61200\n20777 51926\n16798 17105\n40007 42278\n11572 15867\n1588 90481\n66794 67988\n21683 36885\n13886 60887\n26657 48153\n30274 80184\n56563 66957\n16352 97114\n53522 55345\n1815 44230\n45893 92695\n10398 33611\n8056 64167\n16812 68927\n47554 98071\n41424 54555\n20603 22351\n83846 84598\n54633 89311\n20266 85273\n55161 70352\n25964 45846\n9907 87156\n29943 35735\n2286 70639\n14557 73278\n33285 38899\n86924 95228\n13104 87538\n55172 85803\n86418 97882\n916 6781\n55952 77259\n35164 50087\n13118 95261\n68574 68625\n48309 76577\n22958 33160\n973 56508\n18 54839\n36821 89615\n1875 55943\n20966 65976\n85565 92815\n1582 8750\n3001 69798\n49884 59782\n42020 77454\n47493 80333\n7892 44938\n2249 75044\n19615 58674\n86872 89048\n2934 72144\n38334 53013\n9420 98714\n3029 68743\n3360 89000\n1472 91254\n36959 51089\n46974 56901\n7071 8374\n25611 32966\n52098 54545\n15187 95239\n9091 90010\n30131 98610\n14773 41624\n65793 82481\n3700 70870\n68105 94660\n21177 94417\n38850 89797\n22885 92536\n52674 95723\n15748 18474\n62835 88025\n55443 59216\n45594 91271\n71173 85350\n30625 92876\n15379 77826\n34886 62299\n30418 64647\n21063 93742\n71831 91106\n70582 81960\n27464 29115\n17720 24274\n94 19242\n22990 97423\n95819 96246\n19850 66582\n426 79481\n46487 47565\n61061 95715\n25875 47205\n89260 95539\n14582 19492\n20232 66507\n22499 88991\n11166 85877\n14122 47601\n10646 12272\n14733 40127\n2626 81943\n829 35483\n29082 38693\n36536 72941\n84341 85932\n64041 87217\n10165 83377\n13665 44590\n75014 75747\n28915 69736\n71711 98348\n45099 74915\n82219 88318\n2158 93741\n1351 96360\n91109 91564\n25780 36243\n212 78997\n45306 73672\n11797 39051\n32044 98947\n20003 73874\n43994 54584\n20195 61056\n28389 31382\n16790 68468\n11173 55859\n77734 97938\n7644 84004\n54254 72673\n13799 82937\n61538 70361\n17868 21285\n7584 58036\n2972 13497\n59087 68828\n1540 72124\n33194 97300\n14301 15272\n76400 97599\n19516 23735\n3615 44906\n31674 35432\n50533 86101\n43361 65827\n41227 47695\n73416 76214\n60895 84360\n32570 34289\n13300 59596\n22021 55711\n43382 49630\n41271 50676\n36153 61255\n79451 91914\n6174 37741\n10635 29090\n25736 56742\n9363 68143\n14844 71685\n72483 73634\n15450 85901\n99500 99984\n41009 87666\n13045 53004\n41378 95205\n10606 93471\n6717 31420\n55282 61608\n18702 58587\n4463 16124\n30226 44107\n19108 83149\n20446 65210\n14626 14958\n12261 32357\n2127 30279\n16763 78363\n34331 65798\n13923 39323\n24544 69149\n30857 68691\n12379 24055\n33184 36644\n14792 23005\n38209 43714\n69236 79648\n2447 16096\n68939 82770\n17280 94278\n55974 75943\n3141 3924\n77766 92331\n51885 88886\n1729 56367\n11935 69222\n27230 68642\n82881 88134\n26966 33230\n65967 90312\n45048 55866\n8429 76979\n57690 59154\n47331 54109\n59859 85297\n46521 75809\n50956 71715\n33781 40261\n49397 59584\n12017 80920\n10221 18200\n67272 96913\n32255 40179\n15732 68244\n16470 68857\n35945 74595\n68673 87994\n35350 61531\n34526 84602\n38849 93251\n17765 96545\n85556 95207\n22914 51192\n1270 95311\n20212 68859\n3442 31470\n60267 70203\n4074 6301\n19826 29384\n13961 72618\n38599 39530\n71578 84096\n388 66030\n67481 72354\n54864 75459\n17901 42990\n7593 54579\n50911 76817\n14607 97395\n3822 90581\n1086 58981\n15402 33017\n27762 71004\n51543 60141\n30235 47002\n7854 82623\n96682 98268\n52459 81365\n41938 43801\n14273 68690\n42246 84061\n11663 68051\n15039 34319\n539 33218\n8841 30402\n14136 30178\n12878 52978\n13138 82282\n27109 27197\n856 86292\n6225 13786\n53875 62171\n27554 97000\n27264 60601\n23390 40877\n1999 57144\n71030 92300\n4758 15325\n26750 84948\n10475 50601\n47539 74552\n13200 26169\n2337 88955\n10186 72358\n66119 80313\n79166 96574\n24203 27044\n22606 46363\n70251 82030\n56891 85277\n2173 31553\n3079 97917\n80290 99001\n17527 76302\n52257 69216\n13569 67269\n67167 85269\n91838 99939\n33634 83000\n48895 98505\n1938 25629\n76866 83923\n7368 67018\n29201 90702\n38867 88322\n3653 13065\n22675 79542\n37237 55580\n40650 43092\n51281 70358\n13647 77330\n51326 78934\n20745 76129\n13720 40114\n10131 48586\n3171 82449\n11041 87315\n2263 26967\n69460 71684\n8139 28221\n39385 98265\n4863 74756\n3989 24982\n4360 95316\n29957 80751\n27158 40904\n13217 52192\n92698 94847\n59348 95298\n88566 98486\n42051 82788\n80538 90051\n7599 38787\n3627 25202\n5861 75323\n10120 12841\n19842 23178\n4763 95503\n16314 62329\n74680 75978\n6883 69424\n35299 72354\n48646 66911\n77928 87141\n2002 22824\n19928 40800\n18512 23496\n9689 31658\n37495 91456\n4869 15708\n40916 72210\n4688 58267\n36344 63254\n30977 42133\n14430 62050\n53793 76087\n6000 56021\n36753 39411\n29033 82402\n14454 22124\n7338 83454\n26888 31428\n32804 79834\n61476 71457\n6695 60080\n15758 55587\n9788 64203\n47630 58371\n3621 17988\n1355 34507\n36649 79251\n25040 75807\n82030 91088\n42582 72684\n16494 71403\n30988 33556\n55752 76453\n82669 88256\n26650 53344\n24381 38300\n54447 73590\n64167 94754\n37974 89761\n57664 91894\n26339 83141\n9453 69214\n12304 21157\n18001 44016\n23853 60151\n9323 66491\n18559 74471\n52156 81183\n19077 85932\n71299 98629\n5289 21615\n38091 57652\n42787 64039\n39676 53415\n15845 36568\n84101 95295\n33260 85272\n92697 93181\n1586 14607\n1364 27370\n60100 85576\n1882 52172\n101 91791\n45853 69323\n20692 36460\n34989 91338\n61065 79967\n44572 75842\n25463 36748\n48496 84395\n75558 81592\n18450 70147\n46489 89421\n14 83363\n23467 25933\n73195 89316\n18280 21734\n58958 98789\n7778 69221\n44330 86545\n16860 99578\n44742 53373\n35820 86139\n18882 98450\n20488 62824\n21738 83566\n38980 53928\n14891 76377\n69117 96287\n10387 31409\n75530 76548\n13833 48725\n32710 33363\n32846 78622\n931 18250\n11302 22472\n7949 90886\n346 525\n65757 92313\n49627 57104\n22824 47364\n37017 62958\n12269 55994\n19607 51997\n50568 70795\n56415 82864\n62514 77804\n11447 55020\n78716 79836\n17336 70063\n4797 51633\n36895 49871\n31920 62412\n70421 88448\n22360 88644\n69265 73836\n47701 80775\n51944 95608\n17294 47927\n43808 93836\n23098 45985\n7464 95045\n15000 42800\n12249 50142\n15112 98951\n22823 86618\n41002 93764\n22446 42184\n10092 59085\n41961 73946\n8034 46640\n14464 96850\n35192 74079\n83254 83855\n36808 73717\n14481 68083\n66606 73204\n32196 51036\n36663 89382\n740 52202\n27093 87434\n1395 90468\n38273 64816\n54760 83008\n14215 91995\n48230 70279\n29963 60530\n44145 90025\n26502 67201\n49866 58428\n54948 77478\n47450 84614\n20930 99296\n33237 43647\n46314 64315\n10820 92839\n24770 93812\n57494 71780\n51464 94107\n18131 29863\n39153 97871\n1057 37899\n34524 73411\n39971 49268\n54216 68147\n27544 61564\n61295 71927\n37280 78555\n16832 81964\n49738 58155\n15223 57071\n19155 46284\n5897 99454\n14524 93337\n26756 91868\n32918 99178\n41931 98661\n35720 99147\n35656 39297\n43927 98589\n43173 70982\n11559 17181\n92599 95475\n60194 77593\n50464 66287\n37343 97085\n74806 98997\n50647 61915\n22609 66444\n33751 61390\n22250 85694\n46105 75052\n59493 65863\n35811 42715\n30056 61378\n46280 74016\n12405 23171\n22081 52687\n35684 38095\n33766 50715\n21668 40815\n24969 64603\n54952 79083\n13950 70450\n7324 58149\n2535 36543\n40225 86840\n5023 44311\n3294 90228\n28548 31696\n24613 57755\n67289 81972\n57217 94167\n31069 75339\n9837 68337\n41734 53138\n81688 91107\n72826 93968\n19930 34635\n21482 36708\n73387 76429\n77190 87608\n62372 93479\n68981 92642\n311 72694\n60548 81276\n44397 84483\n26107 67874\n3908 38569\n45952 90467\n17652 76969\n24116 56956\n32905 71021\n90413 92927\n82249 87737\n46007 77487\n55807 72108\n7927 9826\n16750 62752\n15718 45127\n18059 79076\n24516 30460\n41020 42198\n56856 93455\n12871 33270\n1690 61264\n8814 95673\n45941 54940\n2825 92816\n23889 57971\n24996 81708\n8344 63652\n4694 6143\n54478 61782\n43401 87548\n22421 52949\n5213 71722\n48343 70438\n57483 79543\n12318 73241\n31660 76953\n48296 70966\n51734 97316\n36655 85099\n63920 97135\n35650 97363\n70994 76397\n9675 90068\n43426 92981\n16702 65907\n5269 58347\n63988 76239\n43138 70061\n17411 17655\n14825 98755\n10776 84872\n50989 58121\n51441 91079\n9441 38814\n28025 42721\n72081 90881\n3322 39489\n30187 30402\n36998 93320\n37138 49148\n77125 90534\n14450 85686\n8029 37242\n28506 72682\n53707 70997\n28196 92826\n3229 14542\n67177 85609\n28296 66339\n69024 71461\n46761 58676\n12050 40542\n74299 82466\n20359 28419\n14120 61105\n17977 19851\n34783 61117\n1905 78455\n5449 50135\n13369 93783\n10541 14370\n72262 86665\n48109 52395\n39274 86909\n39603 44969\n27188 32165\n37153 96633\n64507 75287\n40502 41844\n26825 72507\n40568 61113\n46871 85482\n6080 12313\n38405 84286\n73983 95051\n34070 46715\n2905 57466\n66304 92647\n8755 80039\n32229 84505\n55813 67836\n43094 86536\n36582 76066\n33969 44133\n15930 95839\n43946 52422\n27406 96979\n65625 94599\n54162 58870\n17 77898\n9396 66296\n32074 47981\n60326 64663\n25357 96161\n62951 89481\n18644 23674\n15444 24736\n85295 99761\n80281 81422\n49119 85980\n41983 94140\n7050 25950\n30217 82430\n10668 96406\n15760 75409\n54586 91310\n6079 28126\n50277 81122\n8762 51009\n9947 76268\n19799 84817\n78060 88425\n71450 99257\n38665 47348\n51524 63741\n11626 14253\n11847 27964\n80016 84781\n65936 93755\n73322 92826\n12661 64867\n48289 86561\n19256 65217\n37335 71957\n47044 56758\n38617 53287\n21029 43954\n37193 99529\n27956 80798\n23623 36444\n28388 34773\n38225 68483\n44699 69801\n70534 99502\n2763 21032\n6899 37238\n3867 43955\n32224 86424\n31928 36803\n31840 83242\n32401 32911\n26032 72901\n15191 44937\n73976 96629\n45710 51244\n41529 63624\n18973 52883\n42602 65062\n62779 98337\n15552 32061\n71424 93098\n2159 34779\n81022 93118\n34923 37890\n88764 98046\n39539 94451\n54882 74124\n3560 37024\n42597 60260\n79195 88417\n6481 50474\n21304 62937\n48961 72051\n11544 85788\n37092 87088\n45694 89791\n7465 70403\n37470 91810\n60831 78446\n30395 80430\n55255 90414\n48401 93298\n74988 79680\n51300 89377\n17848 89160\n42160 75207\n2829 98551\n14134 55314\n21681 70677\n23605 80801\n27626 33418\n12343 80257\n45351 82779\n61547 73937\n24428 47896\n34732 70075\n5962 35015\n13351 33196\n36080 66016\n64428 64524\n52221 65135\n57306 58289\n41535 72912\n36453 85142\n46702 99997\n8437 99402\n47434 86813\n43348 77307\n28690 40232\n29874 87343\n7874 60462\n29938 75620\n67992 90601\n70386 72154\n7118 88157\n12580 55209\n64534 80495\n48500 74676\n55600 79200\n22285 38854\n63647 65529\n3341 6061\n25299 56296\n24381 70159\n42320 63737\n3345 68555\n29751 44043\n17385 65560\n42234 45652\n13687 64303\n30831 90685\n25158 70590\n10566 14296\n5615 14681\n12609 29652\n14319 39495\n29863 65744\n11784 93951\n17566 39539\n53938 57209\n1682 41154\n38480 92104\n30368 86838\n404 33557\n66236 78054\n7445 82526\n1343 11564\n16089 16342\n29112 78520\n23601 72803\n14328 26055\n40899 70578\n12888 78913\n93506 97759\n56177 96340\n8075 86563\n51009 95705\n4220 19162\n53622 97930\n24974 33159\n50619 71665\n762 14076\n12547 99913\n9330 51165\n69499 99530\n41031 57887\n12892 55035\n25428 81524\n89103 97925\n25782 67081\n49971 67645\n20997 99473\n13060 71793\n69776 88521\n56287 66914\n47198 47913\n30965 57731\n33827 57220\n44373 46128\n83118 88224\n54954 67815\n3883 4661\n16117 34644\n45076 48637\n58376 60468\n52255 84370\n37616 40704\n15579 55499\n34886 81443\n35755 47955\n11497 19664\n27860 42627\n13467 52090\n11219 97911\n10039 20163\n47263 53822\n41356 57702\n41512 66071\n34187 74656\n69253 71413\n68173 87659\n7685 23988\n39712 76431\n25934 99035\n72659 74069\n16904 97268\n60840 75311\n4526 15314\n18653 32341\n20698 40226\n53835 88132\n27837 34600\n20195 51255\n49782 79623\n68560 72881\n51071 72604\n6729 9561\n74169 78143\n38608 83148\n56393 66151\n45614 47544\n51204 76584\n8018 77027\n32316 77721\n67817 93762\n9283 50706\n70160 88444\n36798 39616\n11979 63247\n3105 9474\n6605 59565\n27376 86163\n54660 92780\n59752 72776\n7824 15871\n35600 42137\n39432 91965\n113 57245\n38947 88348\n25289 79904\n63548 78865\n11513 72966\n20139 38197\n1283 75595\n45778 51516\n34733 75174\n9263 12124\n29464 52187\n17876 56791\n15833 90415\n374 92831\n6129 74617\n15860 59454\n34208 86327\n11907 23774\n87125 87620\n56172 73698\n56537 57164\n16406 43043\n86101 97643\n12695 97314\n7224 98177\n2369 7586\n24134 73241\n14734 85282\n30308 42542\n36314 74119\n47067 64671\n75690 82305\n38083 59195\n48931 74900\n23375 24018\n17354 98421\n4650 47803\n71794 97817\n26526 94898\n20695 52426\n91215 93899\n39621 79882\n17952 77460\n31183 57912\n42764 74586\n9462 62941\n54849 77804\n38135 74573\n55058 88212\n11564 71164\n1554 65843\n6906 18466\n40905 53344\n36412 83634\n18092 47783\n28365 40367\n12000 33481\n65471 94885\n16662 93736\n35270 43929\n9263 92867\n28603 79116\n21251 34549\n3065 28919\n96732 97552\n15918 95917\n50310 91255\n51934 89542\n37293 68476\n5670 51995\n58859 69428\n73742 79430\n66639 98249\n11771 85049\n27100 82165\n53031 82158\n25871 35140\n42695 62512\n23502 35695\n34894 54651\n58456 91363\n19495 54674\n24441 61847\n24657 30769\n71063 86491\n20633 50147\n57987 74829\n52729 70164\n9476 45986\n40466 45010\n72321 89459\n43837 99776\n9399 41476\n27714 54090\n19195 38006\n64686 82567\n5642 94367\n18509 27526\n36423 57158\n15633 33880\n48202 51701\n3639 26863\n57157 75584\n8243 67624\n30146 55024\n14766 23822\n13250 50853\n52297 75148\n45162 50950\n6107 72626\n30719 56391\n23868 87779\n42637 87191\n25596 81576\n45521 65837\n65786 97860\n34885 92769\n27901 64398\n20275 28000\n12172 49858\n47410 78796\n59865 75989\n29912 40322\n8376 79349\n23560 70902\n25576 62665\n70562 71586\n15808 31064\n28786 71869\n69537 71513\n16544 74903\n18716 98471\n31024 48397\n52558 98857\n55626 62096\n12863 19409\n65216 89314\n68060 87697\n68104 86985\n33837 82415\n52453 71107\n1695 69207\n28061 80302\n18762 42029\n8028 86612\n54646 83774\n29500 88454\n21129 52699\n41780 97419\n57333 98117\n22727 73253\n23170 85700\n68156 83626\n8128 78032\n7381 92823\n78521 89911\n81605 92906\n40627 71220\n87324 88644\n38293 56183\n21287 58205\n34107 72309\n24586 92501\n1653 9079\n32335 58493\n7735 76243\n43643 98548\n147 89436\n11610 66858\n57411 62391\n11977 23734\n29226 32583\n29410 43764\n14132 76564\n769 45436\n58005 87787\n44843 63499\n44449 55730\n55682 92049\n36487 63114\n50155 89841\n43347 59355\n49136 63487\n47718 80151\n6384 43463\n31354 31786\n5651 17139\n63824 94982\n11771 44717\n27269 30137\n907 86709\n20893 26113\n18177 51401\n61514 84621\n50782 71123\n60640 67677\n53617 66972\n26151 88829\n72998 97061\n65018 90119\n79324 80593\n400 88689\n12686 64416\n724 25863\n45279 59616\n11072 36845\n72302 72906\n73285 88921\n6822 75861\n14362 75613\n21757 69190\n69857 81796\n88851 98954\n79773 99033\n5883 22975\n24250 66021\n11742 83355\n39920 88345\n74404 92549\n19905 22254\n64892 86754\n27744 51191\n44797 98710\n70794 97361\n88123 89366\n58940 75045\n55103 61644\n61439 86157\n61060 68577\n88292 94902\n60506 70794\n62107 67368\n14855 50701\n11841 60309\n85442 98970\n47065 70917\n830 97576\n16419 96172\n61608 62512\n24258 88807\n3891 96995\n12161 96589\n27052 80006\n54290 96458\n33327 43925\n22852 96495\n26951 94980\n6 3273\n49753 51551\n27472 39179\n21477 94227\n3234 50216\n13991 80838\n67303 83682\n82285 91190\n41086 94833\n38397 70688\n82120 96402\n20683 82072\n3842 24982\n75288 95958\n11568 39625\n15276 16342\n357 81025\n67166 88177\n58172 99928\n4227 65496\n29978 39398\n30110 51736\n34240 93761\n7023 13288\n8887 18630\n7059 56267\n48018 86518\n93544 95829\n80366 83509\n13727 72223\n65142 68601\n32143 74842\n5520 64312\n19363 45967\n11445 84516\n23051 94303\n75388 81600\n82586 87272\n53850 92223\n8974 64662\n39806 45719\n96146 99472\n54514 99600\n10966 31801\n21990 29226\n23055 60690\n13990 25062\n9387 82411\n43480 97419\n65072 89555\n70235 95938\n22904 47891\n26914 48627\n27596 28703\n23069 90885\n4706 26044\n10566 59390\n36039 44834\n19220 94926\n6769 63564\n8013 21590\n10644 81721\n87115 99103\n21541 76471\n20446 84686\n85015 92495\n17380 40370\n12556 71862\n27104 65340\n72044 88027\n37348 46822\n64388 71908\n34270 44332\n45861 85086\n34315 37670\n24888 69161\n52968 74557\n57909 84471\n33942 54977\n86975 95594\n6443 16742\n52517 59913\n43760 89573\n12493 25904\n44959 84588\n33041 99367\n4109 89604\n2359 43243\n9174 56034\n40561 54910\n31728 58680\n338 6995\n73134 90282\n30980 53901\n69103 82221\n52122 86174\n6099 57596\n17434 52487\n44172 46167\n4548 61903\n56355 65054\n40878 42943\n21121 98609\n79285 79792\n38102 60297\n29457 49955\n51183 96651\n80597 89078\n15644 79234\n33608 70974\n50444 74228\n69160 97472\n9701 90807\n548 4028\n50242 70116\n18524 86265\n34969 84793\n50659 97578\n125 52283\n9263 70068\n69151 72496\n38330 80593\n38131 64939\n47786 78127\n3671 59616\n50562 79422\n21144 99958\n77933 95375\n72747 73321\n1463 37930\n63606 73995\n8161 88081\n66999 85196\n63856 67726\n52618 58964\n43805 61365\n46501 88050\n23774 66556\n36779 81302\n2323 71559\n54887 88000\n86871 87623\n49919 58555\n29243 40755\n24759 57649\n9045 18960\n26220 98176\n21893 98611\n32702 55671\n23386 85209\n19496 41912\n55359 79593\n56081 92723\n1716 94385\n22340 53561\n44090 63441\n10603 37775\n60016 80691\n14711 74678\n93 28541\n24894 77863\n57280 80415\n12114 45313\n46262 58711\n2398 49654\n38691 93028\n6148 79942\n41360 64199\n11536 62406\n17456 59469\n39830 74749\n39620 61152\n46192 47431\n57213 93194\n8023 21312\n30623 57818\n42109 51465\n61121 94138\n46903 61307\n18610 18843\n30167 88778\n16963 60413\n11974 50280\n38981 64503\n79406 94688\n22299 43575\n80685 94950\n94066 94112\n31705 68080\n45317 94432\n14844 92869\n33231 47631\n6760 93274\n77258 92979\n16968 61467\n35048 55517\n1344 32791\n19398 78500\n15606 33927\n10533 35642\n68222 94265\n29882 87681\n26190 83342\n81036 82066\n49662 90529\n94088 94624\n70819 92415\n65931 76391\n2573 3719\n20949 44558\n83295 89252\n50892 80777\n27372 46548\n25729 97561\n11699 65061\n14176 69306\n77280 99737\n38419 59863\n12879 80354\n58207 69097\n12650 93605\n25601 59488\n69252 80810\n64053 93100\n4673 9878\n14360 81820\n9699 72463\n8755 16376\n11709 25514\n53064 94861\n1433 55406\n29914 66609\n3585 9164\n49865 70833\n17533 32671\n26609 77942\n15478 87684\n23349 53336\n5295 92674\n44278 71387\n25749 48103\n27354 87023\n83257 98505\n7524 33373\n599 53526\n74293 77631\n18259 23500\n4268 46514\n54108 88946\n44614 81191\n46508 86572\n14532 28237\n25324 28926\n60093 66333\n45468 60083\n71479 76505\n51872 85122\n85511 97447\n3843 83501\n29661 84375\n59380 99727\n31151 47233\n7058 46348\n44293 44892\n33606 37485\n89862 96065\n53064 94645\n14783 65461\n63363 89828\n15977 22350\n20065 36346\n19803 75024\n32095 33082\n24191 78234\n55094 55247\n42925 89502\n11886 16875\n25554 73873\n45427 98887\n81664 87087\n21084 53852\n28410 64486\n34513 48677\n67613 73341\n31993 63361\n28241 71746\n37263 47661\n94580 99908\n28304 47234\n9774 37492\n4395 60703\n1082 58426\n11185 39005\n55534 60028\n4528 70169\n58246 90648\n36280 41524\n14573 17261\n74588 92672\n32604 36454\n22916 50391\n4027 61848\n34375 82724\n1245 99538\n18644 79276\n14577 58980\n17317 96657\n12718 30377\n46717 71134\n744 23500\n41460 62264\n6662 28599\n67549 99618\n21220 88305\n49880 91473\n78609 84702\n31731 95965\n823 48467\n9492 59016\n1106 92543\n27239 53011\n63161 81325\n2896 15322\n67720 82223\n62991 82724\n8813 87304\n45205 46983\n49942 95952\n30530 50707\n24391 61896\n34238 80798\n68551 99386\n50635 93018\n49213 70539\n13821 94246\n67234 75107\n45525 57279\n46527 59188\n11295 82610\n13435 62229\n7736 72309\n5226 76788\n66755 81295\n8997 80945\n38261 41310\n20509 76728\n33775 81528\n2233 98057\n46972 87913\n8911 48101\n20234 50761\n2926 99722\n20265 35958\n12580 66220\n48346 84912\n21901 39904\n31796 37755\n29226 67389\n76572 83902\n10049 83571\n28847 86590\n22514 53551\n8664 88140\n7373 53657\n43264 95278\n25308 58288\n3520 22458\n1392 20773\n51596 53922\n53432 69864\n45088 49132\n5755 74046\n62043 96230\n46485 46811\n46096 93032\n73409 99368\n50733 53386\n68573 81140\n26923 52200\n65408 80925\n11515 63189\n36581 71332\n10518 33973\n9567 62194\n50572 92104\n29086 97854\n79379 97376\n27885 40066\n35412 38041\n31906 51013\n5352 45713\n92989 96165\n12823 63814\n44464 97173\n45672 99529\n50410 66888\n17697 98023\n34295 42343\n11736 86559\n66472 89891\n43262 46934\n35045 83278\n22883 98661\n48149 72526\n65702 99074\n42711 51541\n60523 62417\n10785 80957\n14794 18070\n9210 94530\n81117 93904\n26566 45462\n40978 97252\n17368 45193\n19869 36237\n28729 74928\n44061 87730\n58075 95149\n47068 57330\n10413 94566\n47069 72833\n14669 62803\n34229 66697\n74738 90445\n33289 79411\n10153 56480\n69238 82335\n29284 39366\n67235 70398\n1486 41260\n16978 37077\n5736 6816\n20956 49898\n2142 16929\n60082 72554\n11478 88153\n34313 47107\n73431 97244\n2986 64450\n80707 97851\n4492 54948\n18824 39447\n39429 73232\n26860 86872\n10787 36731\n22464 37973\n22090 60471\n25674 97985\n30037 37406\n11988 89751\n10092 60815\n14948 23320\n14909 59761\n70077 70083\n41398 43875\n60893 72146\n27712 85733\n36425 91540\n45127 92646\n2685 60724\n42079 59509\n20218 38520\n35900 83967\n44899 98785\n36474 67870\n164 43242\n12247 27923\n28100 40476\n1842 11794\n83750 87419\n8181 32602\n76760 93058\n69169 69945\n29068 51202\n94192 95175\n32999 34939\n40402 75559\n59787 73173\n30388 31449\n26013 68057\n62994 86112\n5867 68544\n22490 27435\n10035 94428\n16992 25671\n76337 95804\n27011 39143\n29970 57161\n50163 54839\n5799 96834\n18288 26283\n1685 92734\n7066 70631\n66658 85048\n94347 95901\n57198 70367\n11545 38289\n50415 50613\n45022 64959\n36518 78422\n16012 25709\n17245 97067\n82781 95567\n10702 77533\n4663 69539\n50053 93295\n36179 99951\n8445 12254\n21432 26815\n36431 62956\n3274 61588\n19697 34385\n43443 92472\n28069 81478\n31331 50260\n70294 78369\n99359 99760\n8879 30018\n14923 87478\n50552 75017\n72694 77086\n22646 67991\n56887 86492\n4147 13009\n51568 67919\n17605 86058\n989 34965\n65508 84820\n928 7868\n9492 37018\n41325 96309\n18076 41468\n64541 68763\n9238 77894\n22925 27290\n27305 50672\n61848 78254\n48456 56524\n5600 8494\n29244 50511\n11837 21877\n445 74663\n78421 97540\n29210 87776\n8077 81813\n31649 79884\n19357 67800\n12507 62124\n31731 37150\n1910 80349\n10591 62149\n8143 92850\n5449 84169\n28582 43177\n25888 85549\n82529 88472\n2474 52616\n30080 89934\n44788 66091\n49563 93093\n41848 99698\n30178 56256\n50734 56090\n19933 85971\n31710 99590\n64255 97939\n8586 36110\n46858 62143\n32484 82280\n92161 92696\n60750 94867\n25740 47995\n22434 29869\n12006 22943\n5324 22033\n75986 87210\n48635 63598\n41212 54919\n76525 85485\n10097 99716\n44136 51718\n25082 99388\n44599 63813\n52193 85061\n11868 89927\n50077 68067\n73757 97521\n57119 96876\n36580 47928\n11688 25485\n3886 43409\n12985 68955\n1194 31660\n9299 9356\n17794 59167\n13086 18076\n54067 87758\n82175 93394\n4589 87664\n2610 71323\n46022 80745\n42308 78624\n59644 95320\n9901 15267\n36615 74717\n32675 50854\n266 32978\n30912 55242\n20235 59307\n44162 44289\n54527 93022\n24546 46322\n48440 74627\n40242 72480\n55449 83840\n27994 72579\n30283 48284\n5995 77114\n22892 26522\n26427 68440\n637 8781\n18456 80487\n74345 99702\n2535 22064\n44922 99580\n63464 98223\n63254 75143\n13473 40129\n60365 90774\n31026 48159\n80860 89934\n30392 49113\n36989 81378\n6038 80033\n92536 95737\n53524 93105\n26509 87742\n37620 59814\n5558 80567\n10733 61675\n25987 84349\n58829 96557\n85191 98098\n1320 64201\n15036 68467\n4509 68297\n10220 22856\n19052 29327\n3707 83637\n3865 66278\n33355 42768\n2115 22622\n43142 73451\n44999 80853\n5891 99961\n33521 92183\n58170 62518\n43940 68950\n60096 89240\n11290 87625\n29134 57478\n91525 92274\n47706 48271\n88430 98371\n38547 59267\n477 18506\n20092 70554\n31402 91721\n36574 39009\n909 36113\n27407 33323\n36632 42093\n31226 91554\n6366 72049\n23816 58867\n26061 90905\n12345 36976\n28158 44621\n28443 80450\n29501 65181\n25053 25928\n2234 80661\n25389 37431\n45993 83220\n21436 24573\n3731 42667\n4375 88550\n10381 96100\n13958 92761\n17223 91013\n41098 55876\n27734 30073\n52891 64280\n20524 52018\n29546 39147\n39709 98088\n73995 89007\n38767 71847\n54199 80459\n33328 37003\n13366 90354\n21971 88997\n65768 82357\n37676 94292\n26314 90308\n66165 91390\n10284 65880\n48456 68857\n38687 63217\n10243 68451\n44210 99501\n40980 99137\n26093 99087\n14137 51835\n3759 8121\n52372 96910\n51318 77687\n16415 66167\n27749 33320\n27667 70876\n97318 97375\n4674 75253\n12788 51301\n48024 59333\n48104 59278\n25654 51314\n79318 79961\n16075 23447\n64360 69787\n29155 76339\n51834 76270\n3288 5335\n2205 59831\n85224 86375\n28575 91231\n20423 46576\n58411 91438\n3765 58522\n15891 32942\n49966 73196\n9833 81046\n10046 59320\n22214 45145\n34723 61843\n20629 27746\n49182 74225\n30757 87757\n14207 24118\n84189 97993\n34899 69735\n4253 82449\n4531 96412\n18457 95795\n70984 71245\n27635 85286\n70141 97670\n46401 65089\n14518 50281\n20943 76999\n8555 24153\n91362 95256\n43683 96090\n15122 90009\n47167 54015\n25594 57266\n71949 87144\n17216 27213\n37955 87371\n12311 41934\n1351 69369\n14623 18149\n66177 77634\n1460 24806\n27793 42912\n31759 85395\n3637 59680\n30020 66343\n20461 84952\n26054 64571\n73905 79662\n2388 82083\n48926 99720\n29698 51687\n89593 91782\n53735 55743\n15788 69719\n10944 30509\n3118 25272\n65535 94633\n96100 96773\n51931 89837\n30843 39838\n46468 78955\n43852 59734\n14519 75330\n4770 90585\n56463 57895\n21586 54075\n57623 93540\n84834 90556\n47797 93787\n8501 41225\n6648 23855\n26443 70320\n41469 72068\n68974 82238\n38695 73571\n16540 36111\n48173 48456\n80295 88950\n33377 89287\n23009 87831\n29923 35711\n23548 85802\n42059 75483\n20902 82654\n64167 71326\n283 5271\n3483 42301\n6545 55303\n383 16904\n30888 60467\n83578 85074\n14787 67773\n54808 81462\n14507 66340\n6385 14056\n30508 74053\n28443 57984\n417 53542\n71054 99148\n59154 89725\n35783 92451\n55803 72851\n34886 60835\n60840 78836\n21465 90016\n33671 51822\n27329 44718\n42745 51659\n80874 83067\n38204 75780\n16150 51516\n45632 73010\n20118 27064\n21590 95753\n36204 82571\n31787 59467\n50956 87497\n51274 60978\n23996 79190\n12786 61139\n21550 56381\n6889 33879\n12349 23645\n13707 61089\n4249 24832\n8508 59914\n51519 90716\n746 71417\n23939 47674\n25778 92664\n27665 59847\n71249 77409\n42531 58930\n69899 75179\n4051 98115\n83918 90964\n25503 91005\n97879 98164\n24532 84663\n23905 38953\n7285 30596\n9978 69036\n23685 52497\n67651 68044\n5139 59179\n59905 91890\n90544 94405\n29123 89140\n49302 50334\n62760 70855\n777 87213\n22918 51214\n50949 72630\n41318 49242\n27573 95365\n2607 93289\n13919 74111\n6884 58988\n13270 58708\n29830 98239\n5256 56369\n47684 76558\n149 18361\n11517 33889\n2589 21800\n5419 29031\n16216 92589\n94290 94934\n42657 82823\n12403 95713\n33085 56032\n8806 78326\n54693 67281\n4891 13807\n61278 90140\n47629 53061\n10279 42808\n16569 68918\n27492 47240\n58765 98661\n46599 79709\n1990 82015\n54638 89445\n28903 34979\n48576 65107\n27577 48906\n23212 95772\n65953 74171\n23175 96878\n5930 40510\n33579 95112\n10533 79823\n55756 84587\n7217 53440\n28694 40440\n27820 79819\n32903 57423\n67637 82400\n39300 90417\n11796 44023\n48446 58018\n77698 87727\n37695 98292\n7174 75136\n30191 74744\n10180 31136\n78467 81926\n21432 26144\n24066 69697\n29426 77287\n21228 57274\n29937 38383\n14275 76841\n84417 92172\n47339 79598\n72678 93050\n56425 83417\n5005 75155\n39948 62051\n53540 67696\n22188 79632\n47055 80605\n52568 98476\n52043 57241\n28312 86912\n42491 52364\n18032 61637\n29619 84449\n5456 24810\n6961 20186\n71768 82680\n40175 72055\n20489 56941\n29400 69670\n13865 72341\n19291 44780\n14477 86733\n60 51827\n17543 64517\n26044 86155\n91206 93181\n54263 64636\n59766 69737\n10530 35279\n274 92565\n72023 88033\n4357 35950\n20443 98301\n7718 80674\n32398 78819\n17174 63947\n51400 95065\n26820 58181\n57151 78878\n63014 83045\n1676 67115\n44226 62810\n8407 45829\n74501 80339\n78867 94474\n24687 60117\n29360 33536\n6773 53150\n35880 90891\n42534 51458\n20463 31346\n6487 21571\n35849 72513\n22940 59736\n41573 93327\n37997 52613\n63536 64845\n20987 49562\n2081 30053\n3590 41309\n3302 58567\n30668 66584\n1374 16454\n44710 62780\n3268 56312\n7185 43546\n19683 43927\n13252 86891\n59144 95301\n32124 69166\n31382 95938\n20172 66131\n78973 89896\n20674 94016\n6198 84743\n85956 86685\n22684 33067\n43786 92259\n76276 96692\n26893 84181\n58487 73358\n57650 79473\n47685 59109\n28960 50560\n46506 77823\n2083 86161\n20378 49571\n6114 38222\n16346 28036\n2854 47812\n83544 95215\n38989 59655\n30160 54853\n37387 98669\n56089 83549\n15705 70522\n6790 91959\n52434 84150\n22398 39764\n8232 56871\n29985 42621\n21359 64994\n61560 78446\n58073 79521\n80001 85866\n20512 86104\n4379 36717\n10802 73828\n2997 65008\n9319 34316\n475 67594\n1244 34489\n51769 54522\n35392 90709\n44996 57705\n38962 99823\n31197 84518\n12538 21998\n8907 34637\n41846 54274\n26630 54819\n3934 78029\n17231 98397\n4253 73772\n15268 93537\n438 80108\n53586 87543\n18834 67105\n39741 48437\n35249 98961\n69647 94260\n11604 85073\n5405 44701\n58299 87021\n47849 99638\n25480 77366\n12285 34926\n918 18216\n71550 83291\n24336 85133\n76134 91435\n41696 75361\n23821 56731\n55324 74434\n32819 50707\n14362 64948\n13038 23921\n91124 97476\n21796 58528\n26276 93689\n6137 66451\n39107 95439\n74043 77046\n33915 37875\n20254 82950\n49125 82095\n86546 90976\n49377 67526\n71099 78040\n45557 78376\n27775 94522\n6539 56959\n65590 85897\n83819 90817\n49820 87053\n39029 61605\n22145 27350\n14312 36467\n84155 86367\n74003 76013\n89885 94749\n74768 96683\n10565 88970\n71300 90060\n13517 28639\n51248 59547\n19756 66253\n74477 85668\n8871 59821\n42779 96144\n69615 89518\n2108 18411\n57404 92984\n26235 39775\n22015 24178\n17300 97695\n63015 84551\n14044 75816\n33869 65753\n6576 34966\n2026 21968\n60364 98827\n62057 82000\n31377 39821\n1693 8918\n49938 59515\n53493 90417\n7709 25498\n68983 75586\n50748 52394\n75102 81218\n19774 96033\n90953 95520\n15646 76118\n21870 66320\n1468 68271\n13520 32432\n39323 49754\n33788 65707\n36886 58283\n66894 72850\n16044 70912\n44913 55059\n1559 41096\n49622 77297\n84722 86150\n23991 47354\n57027 97215\n1242 88743\n55984 91034\n99136 99279\n4406 28509\n7282 68020\n24158 47226\n24342 56564\n40153 75643\n74706 77021\n78915 87753\n3107 82182\n23686 49324\n5888 67895\n32798 48196\n79401 85542\n46272 74682\n82474 98176\n17560 81702\n15041 57584\n11824 30037\n65820 94692\n5589 61693\n40960 80876\n15770 35753\n9747 86601\n20479 37555\n36458 84876\n23107 66858\n2610 54081\n59879 68726\n15971 58709\n15761 46079\n6874 37773\n25123 28900\n6949 56357\n788 22168\n23771 43857\n29957 77873\n29230 84130\n30838 82865\n49165 80780\n34614 96048\n6234 45635\n26942 30555\n35964 92815\n11772 71490\n8785 99224\n7218 94538\n48315 99211\n68717 95507\n9315 97721\n5113 73721\n76302 89546\n35564 65739\n36072 67768\n11692 33021\n12499 17478\n39788 74349\n2176 60374\n46838 48790\n29236 59735\n38200 86780\n35074 57593\n39615 40766\n23970 42684\n34186 81822\n27969 97255\n55376 78422\n53381 98248\n1550 49444\n41168 76339\n41679 83445\n60391 75466\n21535 38805\n69382 73105\n62823 89893\n35064 79347\n36859 37461\n46787 74601\n37646 57249\n2115 47733\n59048 83797\n1141 25411\n1023 58399\n32825 35752\n16653 19013\n4954 44890\n48072 52807\n68159 90572\n62817 87957\n32275 91342\n8416 77009\n4920 92561\n16807 71953\n60186 82514\n59171 93938\n43359 81536\n27896 35267\n51263 98216\n52953 92249\n10116 48153\n10570 40677\n1384 50811\n46812 92468\n44452 66224\n53266 69859\n1347 51555\n18205 47955\n17847 97615\n60826 89630\n38606 84976\n42236 96602\n4796 70534\n36412 74095\n17077 34028\n5276 69842\n18849 41099\n81280 99185\n39416 80697\n42267 73860\n19214 48345\n67569 78685\n17762 28294\n31337 53658\n10358 94344\n52424 92710\n2707 21143\n55459 81851\n30822 39628\n7215 65129\n14116 35996\n50979 53354\n75475 79367\n8904 83726\n67144 80253\n35178 80899\n20442 33463\n29282 56175\n71755 88009\n76121 86956\n8649 81367\n49240 87225\n47271 60639\n33199 42161\n95552 97788\n41889 60552\n5544 16404\n9097 61094\n11410 79209\n8743 67131\n8322 22149\n41971 59161\n23051 23744\n10178 12415\n49769 90784\n60322 95936\n55710 98820\n79095 86437\n8068 20988\n95003 99145\n69075 76572\n6500 32178\n19194 61269\n18838 35993\n24178 98759\n3361 28717\n45289 67475\n11228 52467\n77200 83414\n14039 24684\n48206 85547\n3095 50913\n32372 96104\n1070 25830\n1364 69914\n24268 41094\n45056 89533\n13580 60468\n66823 97907\n4732 94030\n36659 45201\n18533 35578\n18401 86888\n13280 41949\n4209 35466\n57052 82383\n21761 72972\n20471 26142\n57490 71358\n37749 84051\n34902 62361\n83437 87675\n30099 61985\n15503 52295\n32542 42947\n2308 67385\n48707 57429\n16667 69896\n30711 35508\n11419 83135\n52006 61077\n45862 88477\n52208 53436\n62245 67101\n21671 77344\n105 33080\n37094 74749\n19492 38839\n19773 44402\n13440 45601\n11104 59334\n55319 78338\n45266 65045\n75069 83480\n38382 57156\n19877 37139\n55632 72376\n47808 79436\n21449 57570\n65971 83108\n14567 46379\n63574 88421\n55121 67787\n26194 66616\n11166 77717\n62306 79313\n8507 20568\n24277 43658\n53653 73266\n5369 86492\n5476 58371\n6548 82959\n270 23803\n48639 97202\n49789 55093\n4925 36830\n28827 86809\n26111 68633\n42307 88890\n3764 24997\n18043 63947\n7723 84021\n13019 55952\n22708 50261\n45603 62905\n69477 97086\n60146 60961\n64811 74078\n38643 90809\n23965 82593\n86026 95042\n32706 51107\n48109 92600\n34585 84216\n50724 80114\n76333 82647\n22104 53758\n11263 23091\n36184 60207\n4287 98111\n11317 35685\n34893 38716\n1856 74247\n11370 85142\n80597 94724\n16441 93165\n40066 46613\n53733 99016\n5669 46613\n58126 92746\n26858 58647\n43233 46091\n73465 89991\n7117 10545\n876 97231\n36447 84090\n55453 64259\n3471 21655\n41068 66264\n76884 98492\n3533 81895\n58324 92767\n22392 46480\n7713 90760\n43885 46647\n25649 38491\n56693 68691\n17146 17715\n48617 67875\n31009 47468\n28017 94660\n45882 47308\n1867 77872\n18414 95249\n41698 86701\n10006 42989\n25265 49726\n16665 90287\n37687 51125\n46286 90761\n44928 64875\n44273 73460\n21141 52727\n45242 54475\n20998 74802\n53089 99605\n21563 75951\n19905 26332\n35474 50397\n13279 78414\n17402 49485\n6646 31677\n77187 89681\n23134 55672\n27170 80802\n24800 99081\n17188 79864\n72759 81911\n16307 63791\n44453 90462\n21045 94357\n38506 40131\n40847 58519\n41803 68390\n90139 95349\n71981 89549\n66282 72824\n46293 72423\n50326 78728\n23045 70239\n45990 53898\n48467 90246\n25261 97173\n8416 52604\n82550 86676\n52985 78565\n73281 83006\n14824 76995\n65898 96045\n66911 88344\n58025 89089\n25761 63715\n40377 69768\n26272 94223\n2869 67278\n52662 55250\n34764 52086\n857 85256\n59550 91237\n73635 86798\n14988 87909\n22270 65460\n14554 73165\n76374 89458\n11578 75907\n41503 84400\n30938 80628\n33139 34294\n23117 94711\n16840 74895\n25413 70624\n60941 71948\n52455 90613\n481 19569\n13006 93856\n52434 61617\n48229 51171\n2333 45684\n31109 58125\n6057 34507\n1524 15369\n35318 95137\n67857 92483\n5757 16386\n44486 73264\n49863 80406\n38955 51044\n40213 46640\n473 84911\n23581 64894\n37779 75039\n55757 70630\n24873 45115\n48980 55351\n68823 75315\n52414 86587\n12032 19257\n1790 23258\n29013 68506\n48145 61096\n39190 49356\n13260 79681\n36550 52350\n36692 86906\n56827 68313\n20976 67442\n4711 24495\n4892 23506\n17267 61599\n29996 38687\n41861 74143\n29978 91514\n46884 84768\n15191 21526\n59233 77674\n51801 76097\n80392 84043\n4209 29565\n44875 76838\n42400 52808\n49160 94684\n48685 91911\n64112 84935\n13820 54263\n11572 44709\n12960 35676\n31141 41094\n930 38033\n72798 75645\n42259 88780\n95151 96571\n17563 35950\n5354 24102\n24178 32508\n7190 97158\n23580 23969\n40349 99696\n3029 67954\n10371 34717\n88205 93612\n32268 71639\n55285 55354\n34583 59647\n32191 40433\n33038 83770\n70414 82080\n19978 69515\n89599 94013\n9154 57137\n36173 41833\n23549 42682\n98 41703\n79985 96465\n7956 81093\n46271 94819\n42649 91267\n44787 58071\n23568 76491\n16569 61888\n13554 86665\n18873 57655\n60870 63110\n15135 93030\n59659 80238\n27246 69116\n339 37078\n54890 54972\n28460 64128\n24525 97697\n9156 10051\n12045 44871\n38815 53741\n35079 46770\n25592 41822\n21700 87830\n9075 35746\n33151 83319\n4295 65629\n5176 47789\n27916 31643\n15287 58415\n15990 82829\n54147 70462\n58008 90548\n78481 97995\n21231 35177\n71611 74573\n2791 36382\n60476 89525\n61929 93250\n18024 48475\n52045 59686\n36436 80962\n49317 81776\n82571 96126\n35048 80654\n5917 10413\n35252 41527\n5489 94336\n16225 98503\n14481 52608\n76915 82557\n2220 19788\n1842 92358\n66469 66652\n20145 46102\n24752 82668\n48849 92959\n84994 95270\n44511 94845\n77212 90250\n776 5889\n38679 95546\n1522 24665\n8278 24514\n48825 99944\n1055 75355\n20022 52713\n57086 91491\n33122 74543\n6647 21234\n15574 25179\n64207 79424\n29169 34246\n25014 47462\n30114 92229\n21106 59709\n67766 68417\n4834 51634\n35370 96347\n13445 23448\n23531 58535\n4984 88971\n15203 18641\n16569 93801\n41661 51750\n13375 76970\n14300 96548\n27618 47437\n8833 75528\n45949 81820\n40728 84349\n14098 57050\n57977 58922\n15339 54919\n9994 96334\n8047 67384\n5283 73719\n27640 71437\n19959 58668\n56980 94490\n38219 50502\n60396 90748\n74084 83922\n7445 98322\n973 10668\n3213 34014\n73207 77928\n14762 45694\n10293 41577\n58713 93066\n46637 83689\n9192 76705\n29073 96750\n79591 91240\n25270 90508\n28773 85461\n12243 53033\n45886 51462\n92993 99950\n35978 99179\n3106 60936\n40002 63736\n43426 67754\n6546 14536\n15656 96982\n79931 97055\n16400 19731\n11576 30403\n27339 44081\n1496 77708\n44554 81972\n8298 86581\n17855 42324\n26593 72188\n606 30885\n37681 96686\n84232 93491\n11715 96880\n33500 92319\n854 30981\n39941 74624\n3428 18873\n50923 89504\n2677 53853\n48819 54869\n66977 93094\n38863 54132\n15855 65975\n7846 55394\n6146 27631\n65574 70992\n42448 61657\n29662 52237\n70346 82298\n31621 34818\n35600 71542\n30391 97477\n54444 64867\n41140 53235\n17961 32961\n14253 55034\n77512 98891\n30863 80423\n51155 60101\n52611 61746\n20630 76177\n2531 86441\n41733 94742\n68642 71916\n43687 91571\n1608 38142\n43521 61550\n57406 84346\n63319 78458\n32426 99955\n61478 88309\n59812 67138\n16628 47025\n68778 91279\n76179 99612\n8044 82936\n28563 58862\n2537 65409\n39084 96226\n15685 94455\n15760 98575\n73763 79871\n8920 74601\n46625 51751\n19186 22107\n2482 3273\n46932 80766\n19918 43912\n2707 90567\n20003 92676\n7166 34441\n12682 39542\n26890 30823\n55280 69955\n59032 97452\n19792 83732\n7225 13963\n24271 58147\n57171 78306\n27570 99119\n17787 53084\n2381 10451\n8783 40087\n36806 91595\n61337 92842\n10703 46600\n19350 65906\n30122 49602\n2994 89604\n62378 84645\n1736 81390\n834 41647\n5552 19416\n1690 63775\n34524 43285\n66209 89180\n5051 11127\n87093 92963\n45993 46915\n62278 77895\n51908 87967\n27973 82861\n48855 62174\n42316 79848\n34245 45211\n84808 90702\n8966 76006\n37957 73911\n71633 73462\n3089 7507\n65991 79426\n27705 91845\n56916 69262\n14369 97680\n18634 43088\n12826 73362\n15100 44354\n51748 57959\n4277 39374\n20748 60135\n5088 70048\n16306 95106\n19417 28620\n23199 82215\n28849 79992\n40501 61892\n11090 97913\n8483 59841\n91375 92185\n89106 99070\n2074 97852\n43861 78478\n6201 9852\n8842 95740\n59619 94654\n40924 86936\n32117 36429\n86557 91941\n22782 82781\n7168 57455\n20378 41736\n15789 71606\n21951 41324\n2821 48719\n17209 46193\n17050 63919\n37324 60350\n40233 75588\n52251 89376\n25993 54461\n6005 44941\n22303 97338\n3148 98777\n16406 78350\n59855 87457\n80144 92135\n37198 39147\n15630 74302\n18508 74313\n42674 79473\n23737 84101\n30830 49328\n43254 92471\n24063 65800\n775 57372\n42474 62668\n10687 84505\n61333 73461\n33291 67665\n29788 34331\n32339 46363\n89659 95495\n33030 80779\n80919 81156\n55416 68207\n34731 41443\n62747 82447\n89979 98589\n3374 10267\n43682 89210\n3091 48179\n9994 62333\n20668 74480\n53588 53845\n4064 79952\n24877 83538\n29772 52426\n43418 89162\n45189 50545\n57153 98595\n42110 77330\n16404 65168\n17870 95927\n56348 75736\n5491 46796\n12124 78201\n79218 92621\n41338 74187\n10917 61046\n32991 91364\n17496 61949\n5498 25070\n8319 89204\n26502 68609\n49463 68611\n16709 44970\n33523 72603\n52095 79335\n982 10729\n23190 59074\n86006 96496\n77797 84106\n58487 73420\n82846 87224\n31192 89041\n2629 73967\n61152 71331\n31587 68524\n79208 95932\n79646 79923\n41027 56175\n17345 62587\n67491 73559\n15385 71319\n19940 59478\n24036 30572\n3470 93979\n6106 51371\n49135 72338\n14144 32745\n27957 73170\n24931 96466\n30033 60230\n3044 7596\n11504 69560\n15224 33574\n93060 93949\n22954 54544\n62148 85179\n14877 69659\n20823 44710\n54796 62614\n24699 58208\n2234 19673\n32454 57227\n28581 39306\n65331 73462\n32462 35086\n30912 31435\n43839 66912\n55844 76883\n30960 31676\n90376 98435\n53782 70745\n9054 82445\n11259 76968\n20777 64429\n3426 53248\n31120 36206\n63503 68174\n34660 63618\n5232 49742\n61880 65950\n18678 41431\n28416 31427\n56081 90011\n17706 77886\n3199 92079\n24627 93700\n14184 50910\n32789 76568\n1834 36089\n3035 24023\n3116 75591\n3438 48883\n79009 86340\n44810 65263\n46155 61773\n38400 99513\n77807 91825\n92984 93089\n78596 87589\n84516 97795\n41597 82575\n44803 88891\n2586 55259\n4406 45362\n9151 44070\n1769 56950\n2316 39448\n563 37076\n31654 59311\n32777 86992\n25738 80797\n12686 37581\n22419 55427\n69853 99582\n17834 27529\n18430 60796\n61002 86929\n89537 96459\n30805 87084\n24477 41308\n17312 60690\n30367 93760\n60577 86230\n7274 8936\n84997 98609\n54273 81332\n3049 71039\n26666 27548\n80778 94865\n28646 53764\n88612 93202\n68879 95787\n53364 62617\n20288 90586\n22189 27643\n75570 78665\n10652 84754\n67393 68907\n11208 24938\n49287 71456\n44948 77895\n18920 78806\n818 45294\n16820 17488\n81356 89807\n6692 88721\n27460 69779\n257 41484\n4918 94381\n34307 81677\n22652 50628\n36929 51257\n21737 61730\n4746 21140\n30453 57596\n56654 60860\n17879 25114\n32655 37982\n2833 16910\n2997 25981\n64474 88328\n76528 81150\n40157 85050\n40870 98697\n60300 72432\n30739 46305\n6348 83108\n9870 20198\n40635 66228\n2643 40020\n89835 98725\n32664 78906\n46261 96423\n5925 32970\n53595 79930\n31625 31656\n28487 52985\n41321 84716\n13446 98166\n19037 27877\n76529 93738\n4040 69604\n30601 72091\n67008 78264\n5654 75635\n16352 82878\n18453 95959\n45103 56163\n13716 43507\n31027 49911\n17302 73070\n64774 71243\n18306 61923\n2122 79122\n18202 69231\n64207 73070\n49322 89256\n13624 92793\n33776 72126\n75183 93836\n50442 58203\n1173 99186\n43073 71596\n4439 96975\n4547 26831\n46182 97675\n9561 46218\n31380 33839\n32685 48843\n3940 89032\n59471 83605\n52192 97602\n76827 92353\n55068 88669\n3340 87245\n34641 42352\n14796 80616\n75391 98858\n45271 46916\n48999 94684\n14294 32217\n7566 63300\n3733 85337\n56785 80720\n21975 99282\n31835 96745\n69239 81335\n55700 66066\n18111 40113\n79367 93122\n53793 66428\n16830 21593\n23958 97055\n2936 64726\n48310 60475\n4728 98064\n15407 74133\n11743 72126\n30683 36646\n35084 53576\n8472 69742\n35006 52195\n53520 77530\n39164 66452\n42103 52727\n6029 61800\n75725 94737\n31078 42361\n20906 88465\n29764 63679\n66582 67597\n32709 63766\n48475 99868\n965 90784\n28594 42790\n1273 8398\n73029 89589\n14804 63925\n47416 58234\n40962 46167\n88754 93357\n93246 98614\n52210 70308\n487 24558\n24329 87795\n40233 61908\n76163 80877\n45229 73109\n59448 66700\n63547 74485\n40557 96396\n14191 72655\n21282 26490\n29177 56820\n46068 77086\n38971 64284\n1716 88995\n7089 65471\n55158 66179\n47841 63776\n31983 88753\n6393 71049\n51606 91927\n27027 69674\n23763 74333\n67344 73692\n18813 37278\n5554 40717\n34460 67730\n72763 86202\n43787 81420\n34431 87881\n5950 28958\n50730 94634\n11175 87064\n50474 80248\n18819 28680\n2397 19406\n49187 75553\n42126 76929\n47884 80582\n28297 60228\n13951 51571\n43421 84704\n2843 82400\n53811 88100\n26870 31832\n39747 74700\n47355 84956\n34933 88244\n45078 68175\n15550 46002\n8837 58513\n30348 57622\n24409 68742\n52756 86443\n1893 97419\n14511 53293\n4571 90189\n14778 76355\n24019 37852\n16659 46267\n31830 74553\n16671 78719\n12570 35444\n22059 55230\n33199 96613\n2193 44297\n68260 79548\n49489 90107\n83686 90325\n44152 53850\n92766 94270\n1416 76864\n53162 84840\n35152 66715\n21231 86620\n59918 61134\n66384 86255\n41576 51314\n3382 26994\n16518 48109\n1168 56481\n54977 78009\n23505 33255\n9703 43381\n21814 84080\n56323 77784\n23096 97080\n34048 37614\n34461 46956\n28837 60597\n2642 57909\n36684 74957\n2177 90061\n20602 77987\n59994 73225\n1176 38288\n47438 60597\n950 26962\n26639 90150\n40379 99005\n21027 74361\n52747 97072\n21871 70938\n35369 78958\n56593 94812\n7948 63489\n16717 66124\n52695 72286\n46324 81710\n79368 96957\n76064 89883\n46209 99927\n31866 50284\n8255 55227\n10534 74659\n52904 92081\n60028 77886\n51176 96082\n52367 92123\n53893 87794\n4887 33599\n49933 88611\n24053 48052\n57221 62058\n27776 36262\n23398 44767\n44721 95168\n52029 53691\n7448 77540\n14287 38667\n52281 82289\n22929 70120\n50306 63987\n5470 61675\n33042 73068\n1052 10120\n6471 22940\n57823 65480\n41960 54193\n3887 37824\n47576 66325\n35008 45649\n78775 85199\n10033 36576\n6034 54030\n287 85996\n43597 77732\n16090 92675\n12436 94187\n19100 66177\n57744 76275\n24722 54096\n78583 81022\n25932 70455\n52142 77219\n47352 67793\n31784 51031\n15357 68913\n1199 49994\n38269 63703\n58834 90090\n66578 80466\n8218 37935\n2484 20197\n55368 62089\n7802 74700\n55496 84786\n70045 80914\n56782 96810\n32450 56412\n20569 44519\n29444 96353\n15420 72022\n23393 75053\n3308 95969\n54207 59129\n7970 32185\n16351 53118\n28301 81673\n22236 34052\n56101 59312\n36350 75068\n53306 75152\n12259 29740\n23195 55560\n64216 86636\n5858 46233\n7806 75640\n69443 91868\n11964 41611\n79004 87726\n29224 29558\n42367 71805\n76005 79278\n28239 51264\n85011 89652\n10884 46721\n1010 48813\n56490 88270\n77086 98286\n62846 98425\n9894 94116\n78552 96631\n56396 91012\n5880 23864\n10665 14026\n20266 99489\n28369 80854\n65514 95948\n20426 72666\n37333 41909\n1291 40021\n17240 49283\n8528 67622\n42498 75489\n14897 23371\n80580 97084\n8925 62971\n6994 46688\n39374 62838\n50382 70398\n22672 41919\n40231 83868\n18839 62538\n11662 92138\n15923 34950\n38302 95043\n32754 60471\n5232 57678\n59331 82508\n7583 63693\n80135 85891\n65704 81052\n1665 20846\n2629 9333\n68276 71848\n25511 77137\n19644 66610\n33246 84289\n30547 55516\n29202 97968\n21379 88266\n52317 83411\n54803 94823\n20497 28562\n57273 94379\n28631 64014\n27558 65741\n48280 62858\n32522 65036\n23119 61614\n19619 95124\n18194 51379\n60025 61033\n28656 89209\n51013 86956\n3263 66192\n67905 82708\n57967 70607\n11298 67217\n28063 30832\n1661 69765\n42566 96554\n5213 60046\n17202 39006\n2160 35261\n29854 89007\n33982 52271\n22459 23711\n38459 87925\n30586 81265\n56368 71574\n72288 85102\n9223 29299\n46939 82493\n17572 28512\n72279 99949\n6155 33968\n63457 97715\n7189 73595\n14438 33578\n16892 24070\n56655 70720\n49158 58830\n22704 51573\n48661 77263\n10608 71795\n20157 43764\n24480 96187\n18181 59797\n77081 78817\n20753 77472\n55620 81939\n52659 90822\n79328 84327\n16039 62221\n65875 83285\n29691 93277\n37171 94412\n39068 67936\n2632 90807\n78341 90763\n18311 86289\n4306 26358\n2426 41929\n8736 50011\n49219 99002\n9104 99365\n20514 44655\n58904 62057\n74884 98315\n37853 78147\n4764 15111\n31419 69968\n59882 77105\n33043 58087\n1228 31992\n19971 37216\n21166 60579\n359 21782\n13446 25988\n45050 78169\n57908 90352\n867 9265\n75138 88155\n31852 64705\n35951 57178\n45116 83366\n24171 25412\n6626 35326\n46105 70564\n34758 93742\n15474 47770\n25242 60926\n76142 77137\n5627 72253\n7060 11538\n29320 43001\n7104 55355\n46768 61260\n58456 78313\n85434 90807\n51926 78880\n54730 95781\n49339 55353\n76299 85206\n40607 46000\n22930 37589\n17640 67957\n39493 81741\n16695 23299\n61591 99116\n1495 20848\n14423 55814\n19471 33343\n42577 55900\n21426 56560\n57669 79573\n27479 52513\n13443 75095\n5013 90923\n50462 67168\n2536 21120\n12768 98412\n53878 74198\n33555 92237\n12240 69312\n77860 87412\n64676 85982\n5035 91515\n79800 95914\n34797 90091\n59042 68330\n20445 98135\n58983 90243\n56196 80801\n90307 93148\n4763 48005\n370 40423\n32552 52529\n25019 41670\n3347 52991\n8310 65573\n8230 26210\n30911 87951\n52775 83800\n44548 48478\n34730 91549\n2184 16396\n79166 95615\n31001 37413\n26110 56795\n76023 84142\n61756 83478\n5347 18418\n34957 62956\n4855 21712\n71795 95967\n62115 72637\n10953 89683\n53850 88062\n25081 28094\n9554 76208\n50668 98385\n55929 58876\n76723 97772\n55896 96307\n1564 51198\n35068 81187\n47101 99778\n8113 94397\n23643 80220\n50284 64369\n28843 33098\n53005 89656\n16001 22147\n18233 64539\n27506 59828\n40740 79739\n369 82912\n44599 68311\n23909 99290\n14361 80089\n23165 38178\n38970 95523\n69370 72352\n24474 63552\n34535 94990\n10495 30445\n44840 76771\n59166 73550\n1340 79466\n19190 50295\n3961 18495\n19204 74148\n10593 54032\n2324 78868\n29923 89632\n59851 77326\n34748 66932\n31381 99202\n18317 82876\n43647 99512\n24585 27838\n17267 96956\n10827 41715\n53067 60811\n12473 57651\n18327 41379\n84435 92710\n77644 81143\n22775 47964\n3803 90367\n5642 76247\n20245 80828\n43789 69274\n66526 84197\n4130 79340\n2570 97099\n2374 98066\n34056 54951\n32914 72503\n12281 16459\n15031 30609\n15502 44803\n87084 89936\n73583 93182\n61374 65859\n16671 66784\n74568 86887\n5919 96887\n26714 38279\n48638 62873\n31271 59912\n49859 96787\n21927 35507\n35810 88170\n80179 98909\n58605 93673\n57995 84850\n17388 69824\n10493 36419\n7433 88302\n61036 68674\n16189 61155\n10773 39687\n61643 79758\n44183 86943\n20532 52172\n46130 79892\n35341 54478\n59748 74361\n34272 44941\n8058 76849\n29256 77890\n62291 63833\n23103 97826\n21575 86278\n57205 69738\n37958 65887\n10548 42609\n179 74079\n10649 15669\n44852 47210\n14973 93733\n18472 81012\n14711 32831\n63132 73066\n15606 94038\n57020 96732\n27315 50494\n28605 53392\n60208 90226\n65360 70068\n2724 62558\n6845 8628\n16711 20006\n79807 89437\n61676 97990\n52190 56263\n1683 52148\n67267 74372\n15206 60256\n4632 68447\n41652 56787\n17020 20620\n39240 48919\n15812 25697\n15006 47363\n78562 90609\n12867 41468\n46599 73108\n22668 98729\n71645 83997\n11504 32188\n77928 95463\n81824 90382\n76699 95381\n187 84475\n24206 76008\n34529 88485\n61190 97046\n9342 53027\n35824 92906\n38413 91271\n745 30890\n80992 81645\n529 12593\n42096 79420\n3563 96677\n47861 60903\n45263 93233\n16010 83083\n22751 39375\n55578 84368\n6094 32111\n61247 81637\n73421 88976\n1899 43883\n58551 98772\n11626 41377\n21949 63068\n14629 58987\n42071 92434\n1807 35913\n37025 65698\n52509 72746\n6096 86019\n19871 98522\n60342 71424\n17678 49977\n3876 94577\n60787 89698\n29337 62838\n1699 29411\n20260 36251\n53688 70193\n37885 96926\n8768 91008\n22267 52491\n4641 33634\n45618 95099\n84029 88519\n12456 62784\n15269 37969\n46542 53117\n24371 68901\n45192 52985\n4449 29135\n25862 57025\n8655 79986\n83470 85378\n12106 51699\n87492 92731\n23835 48481\n16980 51252\n6281 15537\n31883 87745\n25678 80962\n37968 55996\n19915 33630\n5185 97312\n19847 41476\n77048 94345\n5438 6215\n4826 8170\n17819 53185\n3162 23057\n34358 82580\n35488 98993\n77347 83097\n40763 50998\n24860 81116\n16720 64430\n4558 85389\n35237 97655\n4574 99046\n40184 71812\n47836 51685\n30133 75080\n4101 25282\n47038 71013\n36331 85940\n85086 91771\n49305 83289\n24815 85850\n4020 73527\n38946 74496\n5822 86075\n10171 89616\n27536 80657\n7270 84969\n2612 41542\n3623 5364\n11335 34949\n86774 87621\n47309 94884\n38466 82683\n8921 72903\n14890 21693\n19634 80724\n13127 83126\n40611 70330\n10011 40826\n34091 49140\n36880 57086\n29572 77785\n81078 99272\n39966 45289\n25321 98391\n48571 95200\n3248 48944\n39538 64405\n20887 98919\n26606 60367\n47656 79924\n28220 43567\n47214 72323\n79406 98206\n32934 95772\n39830 40602\n65660 95397\n28876 72099\n27412 61030\n22134 27791\n81241 89690\n18123 95021\n17747 27539\n30606 87134\n7846 33408\n11783 89789\n35048 54171\n14069 59136\n19575 88620\n132 83670\n77353 78956\n15303 62200\n1171 14932\n10091 26627\n4154 13635\n26165 85695\n34276 45152\n1887 18714\n45034 63617\n14813 25919\n9418 31248\n12905 78033\n25783 75240\n75982 86456\n5818 94358\n59065 59903\n28724 91057\n23494 33211\n20667 64043\n18733 29323\n75613 82438\n31596 54827\n54759 75066\n23760 77117\n47675 53291\n54063 70348\n3085 59025\n28601 28848\n60694 96991\n61182 91446\n32211 66571\n7873 95271\n1390 93270\n82292 90974\n40702 50886\n25469 56635\n27134 72477\n55359 58808\n2499 54103\n28779 87315\n45725 64552\n29236 98555\n25882 74571\n26575 31390\n93561 94776\n11781 52118\n44960 98412\n48823 50258\n39798 75116\n43486 43574\n20562 37385\n60344 92990\n18730 84907\n80750 87552\n42384 97023\n29522 35260\n13915 44479\n62562 75683\n44142 55791\n3920 35573\n30861 46628\n6651 84176\n21854 44112\n936 88667\n27079 75673\n15183 89009\n21782 51850\n43684 81178\n30077 31872\n1569 70841\n58997 86400\n9701 53721\n26188 54341\n4046 42686\n81348 83679\n68330 96711\n37283 99178\n89005 99278\n13219 87770\n40799 52791\n65896 85587\n39525 40900\n5276 78565\n40295 83209\n89758 89937\n64691 87228\n77294 85846\n10874 98195\n1561 26102\n3242 97887\n24934 85566\n13353 91455\n17388 46098\n1428 79811\n14683 48571\n55512 61192\n5370 7408\n3511 67536\n48960 96788\n15267 58852\n47270 91072\n40007 99909\n29203 55656\n28085 41308\n66763 89676\n15884 66608\n58173 82138\n20310 89743\n53437 72481\n28700 30872\n4387 34994\n8741 36160\n7949 62149\n71579 96207\n9984 26120\n4987 84611\n97 66178\n30237 89365\n7081 21646\n51248 79043\n59959 71845\n44488 44796\n1946 37882\n7836 61218\n28321 75719\n21021 96425\n5815 68587\n41527 53410\n10374 91352\n5053 87975\n42165 77075\n28815 75562\n40922 95505\n93646 99786\n85650 89866\n78716 81211\n10620 92305\n11030 28686\n39579 96224\n12521 38879\n26854 47509\n38615 42894\n4089 14517\n41128 79082\n45337 57789\n7106 18898\n33114 55453\n52939 99109\n23643 97908\n50944 84928\n59443 60587\n22421 25145\n15619 82179\n11951 80636\n52205 64107\n31104 93366\n39977 41282\n77767 97766\n74241 90727\n62067 91015\n58293 87044\n13190 49101\n14879 71898\n32136 88365\n30054 73493\n16656 56160\n39775 44938\n3325 65923\n65194 94297\n89748 90109\n27735 94114\n26888 71395\n61980 68920\n33241 68111\n39569 96717\n14849 76666\n37860 48242\n17284 94194\n23436 57332\n31597 65091\n87079 87893\n68782 82719\n20906 51947\n79818 84947\n15401 72061\n49571 77325\n83734 88089\n80241 97390\n4585 21553\n29843 94551\n79988 81639\n1883 30807\n50472 67367\n11465 14693\n62544 71500\n92631 93368\n24751 65411\n32293 61853\n23523 87308\n70065 95920\n6900 47552\n78375 85983\n55358 90737\n28986 39370\n51881 84714\n27028 49918\n62803 81892\n5385 12550\n9223 55787\n53689 73106\n43218 64272\n53073 66349\n65006 90526\n33416 59461\n18533 59028\n4409 74692\n49711 74933\n31103 68207\n21910 53614\n13296 38606\n70440 94557\n6748 15510\n16274 17055\n38932 41823\n2098 17739\n1782 18148\n1529 56096\n72353 75705\n32820 63391\n8195 87519\n1620 56000\n8506 83484\n17504 69441\n43079 65046\n32927 91648\n13278 28798\n18019 91846\n16940 41069\n5817 32763\n16515 55262\n46352 90689\n46423 53389\n66617 71113\n3308 77956\n25874 91262\n26561 97189\n69402 98959\n17096 59663\n12110 16707\n7623 95309\n20147 93261\n21417 67455\n20062 40963\n3040 63485\n10989 74095\n23142 60766\n84599 94856\n48488 73022\n15342 36689\n40354 54695\n5393 29315\n8361 12667\n5949 85144\n19895 24693\n31800 68006\n16280 50639\n35133 73271\n83740 90118\n9521 38551\n75259 91000\n24739 91001\n20214 41257\n27150 38394\n19892 45209\n35837 37869\n29447 33787\n61452 87399\n71862 91319\n18930 43574\n21711 71095\n55371 92873\n20898 78809\n16228 54127\n45160 71720\n45942 75998\n56846 85894\n38228 63533\n83102 93471\n17283 37963\n54405 85334\n69116 80067\n23537 23978\n53265 54233\n36819 84173\n2430 34586\n56358 99425\n35879 60829\n37266 43861\n15913 58847\n40298 75708\n20673 83929\n25075 61507\n69284 89025\n56343 96700\n28610 73557\n22569 67662\n82234 94344\n16106 65883\n9260 31396\n24548 92490\n8395 34156\n21753 70116\n68674 99135\n17537 44971\n8958 14646\n85705 88443\n5719 40434\n72138 80475\n1193 7452\n21588 22102\n64854 76080\n16141 65788\n3883 76402\n25109 78882\n8147 19370\n10797 42264\n83165 84464\n6397 99975\n29374 68039\n1134 66034\n33144 36011\n75895 83298\n41753 85027\n11075 66133\n26226 68182\n3088 18937\n690 19628\n7185 73906\n49717 88580\n22411 62034\n8557 59065\n40638 67882\n4989 72017\n56344 77485\n17610 47721\n29972 66295\n44565 99371\n71374 97226\n43859 85630\n36625 62486\n42309 43865\n33687 37130\n31691 38375\n76251 86639\n16983 24715\n49691 97924\n44573 86069\n60483 65828\n41511 96655\n34902 53075\n21489 79868\n12209 95184\n81914 86372\n4392 19578\n39988 74407\n17161 65472\n37074 76481\n18378 28749\n77914 92324\n14513 56230\n16217 91405\n30556 69654\n4383 12423\n3241 89452\n50469 73969\n58270 92792\n77619 88998\n39726 46085\n37274 72472\n12933 15167\n12309 28838\n71127 73789\n52794 68837\n45574 87124\n6761 51981\n25445 41699\n44216 73126\n80853 84500\n65631 84713\n4609 10343\n14521 36470\n26793 37228\n9668 10016\n62774 78352\n91905 95817\n36012 57056\n53244 57248\n7143 95244\n40554 77799\n46403 53388\n46665 64608\n30958 75860\n67488 86847\n16646 45420\n39566 75004\n43853 50390\n38738 65283\n74858 75009\n29145 88056\n3615 30830\n13941 60387\n3064 31447\n10399 38770\n9570 62614\n32955 81415\n65509 94256\n42091 82795\n12122 12392\n47633 60765\n68222 94189\n42820 53798\n6623 22910\n72714 74512\n14589 58551\n7430 54778\n52448 93758\n18259 55241\n14490 56759\n18567 82812\n37522 44738\n49498 72358\n82863 87084\n868 62747\n17510 97801\n85721 86132\n28627 31872\n54086 57160\n20739 41434\n29571 30806\n92049 95649\n18807 85518\n22578 47329\n39034 49356\n43061 48290\n7505 87922\n26074 97406\n22694 47424\n23042 41097\n25606 54527\n37791 98387\n14914 58275\n17666 39871\n73415 78087\n53934 54686\n18966 68751\n8758 68231\n15328 73755\n31761 91687\n65534 76395\n38210 51980\n1028 36993\n41851 51278\n16518 97202\n19841 83986\n74742 88469\n31836 48930\n32500 83238\n39717 68622\n22936 27494\n5382 27235\n49527 81014\n55319 75985\n2895 73778\n5228 27746\n50345 74136\n2919 4612\n83926 96978\n56684 62708\n74794 76220\n43981 52755\n65585 71379\n24494 24708\n28096 60116\n41270 99716\n38395 89328\n32123 44856\n72620 80950\n19285 26813\n14178 53679\n81073 95258\n36509 94396\n36744 64752\n32549 87013\n19503 84813\n17860 94363\n77436 93743\n24920 48182\n29360 49955\n34914 77754\n89522 98319\n57131 98300\n28110 31890\n43228 66289\n40634 99759\n444 56526\n6170 46760\n5177 56251\n84492 98890\n52763 88316\n77499 91617\n16318 56961\n19497 79144\n71977 89689\n16707 85634\n34972 51308\n35334 47929\n32263 49035\n58725 66578\n40432 47917\n12053 27130\n1252 80260\n13229 37467\n41198 98328\n13518 38494\n62460 75617\n55835 62557\n36002 85071\n85229 90511\n31777 67621\n42016 95813\n5050 17512\n64839 99182\n48458 66001\n32346 88231\n33399 35273\n20185 90520\n50067 71027\n23194 46985\n71742 77861\n45558 68109\n35970 57644\n8798 45546\n8062 98794\n29163 55413\n27818 35525\n28712 54205\n4427 74407\n50955 83614\n662 9856\n75246 78467\n56066 95911\n41843 73703\n2862 18988\n21155 22991\n41211 57670\n28070 58361\n922 11686\n57258 84279\n9611 16939\n70744 87433\n7378 8419\n46271 63898\n44535 76190\n24793 79911\n34751 38441\n45833 72720\n86862 89408\n71317 78705\n9641 73491\n32357 80771\n11458 96844\n2025 84860\n8695 64262\n22168 55202\n16759 84362\n19462 72709\n1779 82617\n32929 62102\n4279 11431\n16624 59705\n15679 80814\n18686 58453\n40857 77344\n17040 55060\n1952 50856\n7779 80584\n40134 81244\n15180 42365\n58722 89126\n24417 58085\n1398 59499\n8633 10798\n1951 26001\n65180 80611\n62174 89511\n49268 61305\n18951 86099\n45616 76072\n51707 76591\n7818 18533\n28602 40248\n54345 86671\n2306 34150\n76867 82578\n11172 58956\n56463 62301\n2098 21737\n5984 49036\n29046 76298\n31925 47491\n16002 72102\n83791 92240\n75750 94174\n1094 98126\n46704 71680\n1145 28845\n77429 95502\n47497 60305\n42681 85612\n22988 78617\n33180 45122\n20889 51834\n25680 79049\n54648 87307\n46357 80670\n54466 98132\n23489 98092\n22333 83221\n67691 77574\n49410 77390\n48209 53951\n25077 77331\n15749 32599\n2661 33812\n23761 42954\n23465 43805\n13412 22320\n63853 93165\n86104 86326\n29255 80002\n26354 85919\n55157 88518\n36928 46069\n73310 93977\n78446 92688\n67950 68804\n64310 78785\n37310 82126\n29306 54253\n34735 41795\n68260 90610\n21609 32046\n20259 76921\n54110 67599\n47094 49037\n21348 74774\n15867 57893\n53499 72442\n9700 27772\n38501 38915\n42003 46936\n6898 22232\n459 11799\n19778 22227\n47736 70000\n85832 89887\n17253 81172\n26294 63153\n37915 51658\n20522 64802\n20614 44118\n25741 65658\n12661 27093\n41603 75610\n11772 49704\n36407 75604\n29609 67684\n23523 93089\n51166 69408\n44357 61629\n26661 98025\n1150 29412\n29283 69303\n73495 91873\n4592 28864\n5486 41596\n29899 61084\n49575 78234\n82652 90797\n24046 86584\n24528 30793\n82902 92093\n12421 75362\n42743 42766\n499 10800\n20288 89440\n33021 63389\n84617 85414\n15902 27886\n10899 50536\n1184 35817\n47404 50691\n14720 91544\n7057 67639\n23430 66649\n55511 77921\n90718 99185\n53411 96713\n67739 90893\n15078 53335\n14111 44656\n8196 47480\n25599 83216\n47265 77515\n15112 26948\n46375 77569\n19324 59888\n47581 80172\n20118 39652\n4246 6428\n37738 98109\n31748 51299\n23028 90113\n4798 14009\n66912 85498\n13490 23093\n58505 61768\n54698 67563\n2964 13598\n5774 74492\n65432 95465\n61119 65790\n63203 90014\n46956 99351\n20823 58146\n8173 31803\n47171 63981\n3121 73449\n65442 67496\n1740 91932\n67776 79115\n59512 61349\n42798 86458\n6153 26095\n32677 41307\n1861 81484\n26399 96583\n58002 74110\n38583 64283\n11698 12077\n47906 54065\n69822 77239\n10019 90977\n43645 64923\n69676 92265\n65138 76977\n45904 61850\n31658 87935\n47579 55984\n79975 86098\n62369 91674\n46551 51507\n30924 96180\n6608 92867\n59140 91552\n4466 61417\n52068 81965\n54659 68965\n37838 69039\n24298 93631\n39519 45838\n16765 28833\n17969 74961\n58145 66967\n76965 96117\n33759 61250\n32093 58216\n18598 70207\n942 1673\n45911 76243\n82477 84841\n86037 95252\n20341 26355\n18737 74955\n93634 97672\n15757 97745\n57530 87665\n21233 71779\n20818 78464\n14870 71486\n13436 79548\n5545 97657\n49055 92351\n86359 94466\n47235 68610\n25121 30098\n23550 93542\n17055 51829\n76996 91362\n23214 85655\n5333 89554\n34471 73310\n29848 43397\n21529 80720\n6649 89424\n63043 88549\n33706 74352\n30332 68642\n775 19075\n24199 71094\n50256 56886\n4914 35568\n59692 68263\n43200 77788\n33878 86803\n57245 65542\n8651 24275\n69262 82116\n10074 87174\n65854 88348\n16245 20127\n5861 13572\n13773 38716\n22371 27940\n3947 4939\n16194 60547\n44602 49172\n15753 47681\n4490 76725\n8065 86407\n11187 59444\n51301 69073\n2497 18214\n82226 84181\n1232 67102\n36375 87544\n56846 93735\n34469 88921\n13468 15756\n15284 65603\n70549 85061\n34429 59147\n7724 82667\n7328 13663\n44485 78376\n4106 91466\n56781 66995\n53384 55582\n92882 99819\n16670 96518\n49680 52827\n39547 40503\n51298 65141\n39714 69071\n80114 87350\n60787 94526\n1645 65915\n32235 81419\n54664 62381\n30981 75063\n60054 92007\n32323 66574\n4782 44570\n33324 57271\n37456 39060\n65055 71954\n54574 77118\n29244 89991\n65270 73048\n30266 81336\n216 90007\n19298 87496\n27289 51695\n10925 60096\n20877 53860\n50692 55451\n12805 88706\n16921 74560\n4561 22284\n82629 88991\n28430 89665\n15738 65648\n13382 34338\n42128 77914\n13156 70718\n1494 79589\n30404 60727\n34517 53270\n8699 20580\n18702 21890\n11348 54104\n85458 97743\n24788 35358\n68258 84809\n54090 57558\n29841 95922\n33712 83035\n30750 47077\n71906 96298\n16508 46041\n9519 73271\n24690 98161\n25125 91855\n28530 76189\n22042 52864\n22994 77986\n13527 45137\n54457 81013\n50010 62032\n56565 99170\n23170 50405\n28324 95388\n25870 47311\n37004 39057\n39228 98995\n9137 42372\n59913 62997\n49895 97001\n29085 88015\n2198 57380\n35197 85001\n13770 37703\n40345 71684\n96586 98948\n9303 16746\n5973 8548\n16330 54021\n20265 45622\n77017 81689\n69116 86088\n11485 94323\n28904 92524\n61384 74204\n73079 85359\n27973 68110\n46852 54767\n7684 57550\n79765 90128\n12967 98808\n33141 64126\n31396 57806\n42445 91404\n77583 95191\n36132 92412\n34777 92501\n9954 37484\n23067 59022\n11193 84867\n29858 84441\n27992 51530\n35682 43684\n57457 73252\n42640 49669\n30195 87590\n35530 87008\n2568 94814\n12136 71207\n23140 46346\n26134 53542\n44471 95213\n67724 77527\n68178 80932\n2526 50603\n43020 61602\n2257 18360\n27833 34816\n4459 18771\n12927 33978\n64862 87198\n75986 97420\n17255 44097\n35530 87391\n62204 90340\n23582 85581\n67476 96530\n91323 95262\n80524 98080\n15196 90165\n35891 99263\n41376 99908\n61731 77088\n33863 73252\n13441 28800\n21668 37226\n37495 60094\n22539 90414\n3297 38593\n79536 88511\n24849 87956\n37808 42543\n879 84724\n84903 95529\n38913 70951\n28022 70868\n4797 39659\n52304 82998\n34085 91796\n56574 73243\n30611 48249\n2727 23461\n53249 87543\n37285 78791\n62109 97969\n7158 74889\n78942 79590\n32445 43306\n53838 75661\n44544 53363\n73266 81573\n14906 68267\n53632 64858\n36730 48759\n6493 29100\n40488 54192\n30651 40247\n33091 65328\n23211 29343\n51186 99905\n874 28063\n64605 76603\n51409 75199\n5424 25766\n23007 30831\n21408 96825\n13869 81631\n19450 24378\n11673 19385\n42319 71030\n1305 46168\n33198 81223\n21556 28027\n80900 92541\n42392 54840\n16281 78610\n57362 71095\n10811 67613\n16131 87870\n11317 85666\n58351 79419\n5352 6256\n57976 67468\n30682 55725\n78488 91439\n3699 96251\n42124 50437\n61814 64645\n24960 97432\n23299 86602\n37301 69606\n69556 95987\n16815 41194\n10406 61303\n27748 39068\n93089 94782\n29997 55454\n2664 34467\n15751 77924\n39585 85432\n57266 91276\n2446 32891\n46647 66898\n23069 88200\n29981 44713\n21590 47505\n52071 82732\n49836 90242\n6570 36753\n52722 93845\n13898 64862\n62920 81026\n30422 64148\n17580 29888\n9516 55118\n44844 66492\n11659 92877\n43453 73238\n23528 29371\n54544 55734\n48827 90226\n16765 76359\n39536 54482\n93966 97919\n17767 36983\n13029 44770\n23764 86090\n3512 92247\n65673 76505\n38876 81613\n68308 81265\n76529 97444\n45990 98733\n43856 71988\n19701 54452\n32693 74373\n63563 75358\n40639 93634\n34150 67676\n18814 55317\n44184 85699\n52542 91500\n12993 93302\n55698 79150\n84815 95812\n28777 35512\n27407 36110\n82755 92125\n16490 65115\n33137 72546\n26171 27521\n48564 52771\n1393 9263\n63685 78904\n96459 96894\n26100 63723\n19287 63660\n33344 35601\n88646 93888\n9115 11504\n91146 94074\n43422 90057\n34551 35654\n6937 38332\n16269 93745\n2159 65736\n16409 23785\n18023 56984\n61136 86109\n58161 64022\n6028 55522\n24528 45658\n70134 92958\n3579 11208\n58906 72490\n10954 95165\n23233 27372\n28736 66070\n56851 87251\n4663 22129\n2164 56037\n1807 74572\n46541 96174\n7161 23700\n55035 65548\n34209 52754\n26210 52606\n16630 27379\n50002 52831\n26775 60257\n31534 72655\n64006 96308\n28499 66960\n75428 81691\n7711 23087\n32682 98295\n32134 86286\n28948 32952\n7501 59188\n11552 28130\n45015 58406\n18930 21280\n57487 68636\n74710 96301\n7179 80058\n13047 47790\n30818 61005\n84344 98951\n824 80181\n27278 64691\n17203 91578\n67277 76526\n38541 94181\n44156 87200\n78552 86239\n24256 36300\n2635 15302\n37181 50536\n16445 53495\n25908 29083\n12927 46250\n18876 30767\n45702 57546\n11634 61964\n32004 58275\n86175 92539\n12772 40958\n39858 97625\n53601 89546\n80115 94419\n28243 37134\n31563 65056\n2493 30421\n38044 56144\n34561 81576\n40496 88709\n25482 79719\n24154 42052\n31376 34414\n6923 37637\n40492 91495\n52426 55818\n27096 88691\n15229 66201\n41954 69084\n19406 39717\n9654 98366\n26520 30677\n13102 36823\n54241 85754\n4370 62886\n11562 77367\n7207 70709\n46192 85721\n33061 65256\n27624 58527\n44743 65255\n75123 89274\n17342 56676\n53307 84720\n35847 57045\n33798 42766\n1997 45092\n33687 44765\n20440 30209\n33189 49890\n34691 89674\n32325 74288\n79245 86625\n34143 37073\n85737 86586\n89255 95216\n6804 50588\n1748 45198\n19982 84176\n24355 46358\n23584 56275\n13564 33646\n8926 31111\n14111 63156\n48251 56712\n24559 52734\n14064 85680\n75091 85382\n11586 50876\n14858 62483\n42593 89933\n41812 43172\n8859 67543\n5097 24559\n14270 54507\n74572 94030\n8295 37784\n19008 26849\n64019 89319\n22006 71008\n8854 76496\n16020 73717\n48780 66364\n300 96478\n10826 68730\n74014 94970\n74674 75222\n518 20275\n27650 52760\n37437 42975\n33856 40993\n43673 88421\n42533 51713\n76751 93183\n40071 52811\n595 51603\n25982 36662\n26011 36129\n89106 99856\n10920 43389\n72325 82004\n3044 86974\n33828 59560\n3633 94690\n48957 86443\n29331 42134\n11676 79151\n70486 93191\n1299 15997\n40116 48706\n10742 94055\n80079 89981\n38358 92424\n17472 73382\n15284 49260\n25414 80842\n53516 90068\n25182 83634\n45136 48069\n5744 34389\n24888 38442\n8910 62879\n15675 56130\n13429 99053\n50453 67269\n36295 87832\n2933 62469\n32474 95308\n22280 67727\n48617 96117\n45229 58971\n10878 91003\n59653 89962\n14931 96274\n27947 35874\n5660 70119\n9385 88449\n4371 66879\n61917 77030\n3294 85420\n22227 98206\n40238 41994\n13430 96755\n68413 89338\n21872 84575\n27748 72300\n9595 53712\n32196 80202\n1358 22299\n41252 51485\n20503 44846\n1810 27013\n48781 88055\n8927 40067\n86741 87557\n64919 90924\n27635 91198\n43268 86323\n15991 65100\n2800 52676\n80924 86074\n28055 71014\n63352 96253\n2595 90893\n16435 82695\n57455 84801\n90532 92393\n50670 61667\n36171 59391\n69447 89515\n80682 90384\n8815 92138\n46611 73838\n56122 82964\n16531 80403\n10209 77139\n5647 11813\n23735 62158\n19774 75335\n34790 35019\n9481 30735\n43669 88571\n17604 21713\n59224 76645\n89629 89635\n43434 63928\n4816 60004\n57927 95834\n17385 76119\n16864 50270\n67141 97374\n832 56526\n26850 59032\n34748 56878\n11912 75696\n13878 92077\n71292 84384\n8373 82882\n16208 59675\n6952 36565\n31712 32681\n61267 96337\n47802 97673\n22180 23816\n83870 89516\n39999 73343\n6860 86936\n33358 37383\n48638 73327\n68665 76016\n71766 86959\n61294 90517\n57033 66809\n16951 28320\n1157 77264\n33616 83198\n86969 95808\n6392 51485\n78300 80565\n67957 96052\n15340 39420\n53408 94135\n36353 82658\n38519 42349\n2434 21871\n14246 40076\n58516 71084\n36044 74220\n75383 91811\n31549 55406\n18982 42824\n7528 56143\n4778 89761\n61770 95685\n18733 94031\n14525 18010\n81557 93642\n5597 57920\n23986 74504\n49468 84365\n11837 13008\n22175 99165\n76696 99892\n30928 49691\n50109 59235\n34578 94424\n34915 93011\n91836 97384\n37951 45715\n49802 84816\n95118 96470\n50854 61422\n11941 99681\n20393 22190\n31250 78808\n54639 54708\n53739 71059\n24025 84165\n54325 98852\n4074 51313\n12596 40607\n63475 91460\n1052 39521\n2752 82571\n37057 95462\n66977 76782\n52831 88728\n5703 50122\n11290 42401\n11791 62493\n23601 71422\n42876 85768\n13988 60284\n1322 66801\n4747 60319\n1297 26225\n21194 97307\n35189 81767\n8010 82149\n15569 73541\n20888 27254\n36930 95993\n47530 56437\n82351 93322\n11605 86140\n76605 87552\n45288 90114\n47574 66360\n46860 92719\n8281 34920\n43952 61082\n10320 76324\n57783 75194\n17022 82038\n36334 95068\n64917 88883\n55018 78801\n25393 96015\n87066 97362\n76898 98431\n11058 30700\n54814 84390\n72033 86400\n85004 98805\n19437 73460\n21432 79735\n54419 88146\n36883 38057\n20063 42411\n13110 38045\n40130 69165\n46470 57729\n46187 68377\n65542 79661\n26832 44204\n65932 86206\n46050 66286\n42902 57582\n14483 24928\n38753 69159\n38876 80330\n40663 76947\n27895 87713\n24668 85630\n47674 69913\n18070 94164\n6319 7235\n4675 72433\n5169 87699\n89034 89811\n10416 49315\n39693 99288\n81528 87432\n24009 56325\n28533 90959\n3342 28879\n60298 84174\n2123 6549\n60538 77216\n49072 86686\n11239 30574\n29514 77568\n50282 57064\n84697 86991\n18888 19099\n28105 45005\n30485 73857\n6845 68721\n25213 43975\n23883 76677\n32736 75933\n25550 75552\n30255 33499\n50719 56091\n3815 19006\n43980 84077\n48411 93218\n40376 78525\n26093 68434\n37343 77827\n15415 48791\n84460 85244\n51090 59841\n21305 45375\n36910 80071\n28842 60134\n8364 32164\n31338 63975\n93 71494\n7783 24463\n11260 25636\n25368 93000\n20820 23076\n68032 78281\n9411 40190\n41498 86168\n3822 15480\n16582 29028\n57972 62027\n48376 88826\n10242 67175\n54111 88102\n31527 46569\n22195 48491\n59820 79510\n37392 73097\n76171 98234\n87735 89659\n80533 99660\n32308 57231\n36005 46845\n22220 82554\n39847 47607\n17544 27134\n10823 60403\n61338 68704\n12664 46942\n26499 30604\n37954 39072\n12337 70533\n62507 96939\n46686 61882\n13057 43139\n659 80610\n36732 77846\n13837 78238\n57759 71945\n14949 36914\n14562 90475\n48039 67313\n10187 13985\n28738 93605\n32678 78366\n49066 53966\n15560 79238\n12665 13972\n52676 80712\n55858 64639\n55803 68263\n76560 99516\n31133 84928\n5852 7463\n85270 93150\n95714 96805\n26412 90783\n23420 28474\n45400 73781\n22835 65874\n2148 92116\n13236 28004\n74139 80189\n2750 34117\n21002 41017\n53440 97888\n67138 86101\n15222 37389\n5945 49158\n1544 77116\n55299 63794\n20518 21829\n20604 41633\n29229 87668\n9839 19685\n69895 88894\n9048 30285\n57430 96939\n71052 73221\n43392 89894\n88755 94642\n3156 83557\n22315 51479\n35436 76433\n55486 69173\n81453 94033\n11361 68571\n34935 98385\n27265 89929\n31605 57347\n11394 18187\n41243 46252\n74308 90625\n62342 64507\n53289 61877\n1923 69759\n45493 83124\n33238 33249\n22187 91374\n18993 29465\n36368 78732\n2636 60362\n45477 54164\n59625 63436\n23609 36185\n46420 71487\n43976 98987\n47841 84942\n10053 47151\n26739 64529\n6111 91153\n1321 71603\n26222 57288\n65873 91542\n60140 93211\n9000 77571\n28284 40365\n11246 97857\n24852 47652\n59770 87866\n29761 46462\n66802 68026\n38493 53995\n2554 42261\n15477 57212\n32877 57385\n15336 92897\n65155 79943\n26173 86865\n25763 74150\n28460 99107\n9946 15383\n45345 61462\n9942 10485\n57338 94637\n37125 57060\n18646 19462\n6483 29700\n40742 57979\n4403 88607\n10235 77731\n38509 49398\n43804 76788\n44326 67813\n32311 99184\n22207 56365\n40010 91150\n29451 50721\n92329 99247\n61088 93675\n9462 39701\n11936 88067\n74631 77450\n5986 12591\n60217 77847\n46925 80054\n68549 81689\n19115 71785\n13891 62334\n26514 47099\n41370 68312\n70999 77451\n46836 52041\n6728 24037\n8151 8536\n57840 92649\n36323 57601\n11725 41644\n25538 84098\n8509 95161\n65567 80776\n21595 94179\n17439 68153\n29493 82491\n46134 96692\n4339 73905\n41442 57365\n33296 41018\n27379 83047\n12782 82234\n31166 43450\n44989 59617\n30900 60627\n10520 72035\n13733 69394\n46766 49335\n53354 87972\n50453 71229\n47702 63693\n73561 96897\n40380 47322\n10353 30034\n69442 83964\n40800 65536\n11462 93343\n27963 60272\n65019 68658\n58539 66161\n43686 76197\n52368 77276\n12849 98802\n1041 83423\n65634 93508\n54003 82554\n45533 98545\n35132 35648\n27753 34752\n70064 93886\n8782 88359\n24500 97163\n46213 86006\n32426 93568\n44696 88197\n30187 81604\n371 14076\n19272 41200\n68906 77343\n41057 49959\n94073 94865\n5101 42675\n16619 20757\n3547 32427\n8868 58475\n9378 69723\n29062 97508\n15734 63024\n69879 85854\n21642 27431\n2735 87957\n47283 59864\n15798 36829\n50298 77607\n67080 99122\n25789 26970\n79482 80746\n25462 49807\n27242 40942\n40692 64305\n24451 44043\n63264 70673\n23693 90495\n7579 56379\n18879 49398\n3243 53920\n19999 78237\n95821 98598\n45097 88413\n19522 45000\n82698 95105\n34857 53507\n32655 33556\n32726 55445\n14529 16300\n19216 25971\n25413 86698\n2316 26884\n39938 90264\n33307 89374\n32679 87012\n6247 87289\n42678 72115\n11371 17873\n49453 92417\n21577 52187\n35287 86556\n56793 75782\n10744 92252\n61328 72465\n10068 60175\n74870 83479\n10074 16912\n888 3261\n38273 48714\n63824 70998\n55318 88740\n50301 71267\n16048 53602\n9024 83995\n74349 85826\n37393 61204\n60689 83502\n49883 54983\n5580 22289\n2376 67481\n48244 51137\n24152 37519\n60913 85833\n81624 83598\n66125 69593\n85868 93572\n16809 36760\n55042 62189\n60025 85458\n10966 19109\n60467 74618\n2244 58774\n31407 57635\n18237 97869\n74753 81655\n19815 54402\n39746 84962\n17947 50592\n43813 73894\n19558 83823\n66686 67931\n23132 46379\n17085 59062\n2682 9983\n2796 46172\n58380 99282\n1493 46482\n2873 48674\n54674 99088\n30109 94934\n42764 99091\n46029 53999\n5581 77328\n92934 94768\n10927 30144\n12235 79763\n35684 99296\n24897 52984\n18203 51231\n21222 58275\n13301 20061\n29747 31590\n38422 71682\n21732 48794\n6194 74180\n80864 83608\n15557 59681\n30581 68353\n7810 74402\n2546 89238\n23228 60614\n5977 31912\n3943 60912\n33139 66242\n31966 60595\n18438 82800\n62211 79051\n8682 92607\n57855 58070\n43971 59488\n57944 72472\n49991 82793\n42135 74265\n76153 82165\n2559 58998\n27673 81074\n28706 61113\n3567 62230\n64283 68498\n31453 89604\n7272 52200\n44747 78130\n15220 94415\n47597 75914\n44642 55790\n27403 80852\n53321 76137\n20144 22548\n43025 67875\n62089 75461\n25910 94465\n22219 78681\n52596 54503\n31595 49467\n2893 4662\n9533 90507\n52753 60099\n47469 48411\n20577 66335\n22145 45473\n26033 75551\n17124 75627\n47233 97279\n28165 45023\n18503 30174\n2379 42396\n70349 76717\n8387 31029\n4732 53071\n31741 45082\n81087 81287\n49494 76116\n53050 56190\n4141 53337\n22839 84164\n28142 72381\n19581 70474\n73146 77754\n37314 93129\n34109 96376\n44098 48378\n42648 69130\n19798 92843\n29382 39416\n49566 88121\n40546 42157\n8431 28317\n25885 67520\n72344 72693\n15000 24100\n407 99605\n38169 45508\n20920 59962\n43543 49254\n48262 63584\n69823 94408\n47921 72974\n38598 84444\n71099 98910\n35315 39070\n8485 54774\n31582 47702\n9938 79834\n23253 37858\n29426 90298\n27128 99316\n46680 97714\n68490 71704\n16256 34109\n26871 53237\n7362 69303\n49272 66895\n66520 72709\n5678 47298\n29577 70531\n9129 38933\n21001 90983\n62834 66363\n91072 95620\n72084 77132\n20143 70950\n63858 72818\n32563 98162\n143 63624\n26525 91090\n20111 56879\n19229 59000\n24746 40007\n40816 66211\n47573 72816\n28287 82744\n34519 63620\n49816 72305\n7061 11930\n39651 39807\n70263 91995\n64953 69718\n14168 54095\n51117 88178\n29475 60936\n73304 90198\n7957 27876\n27743 50085\n14730 95946\n32216 48670\n92286 97640\n43001 44335\n26857 84174\n18854 24048\n37597 73406\n69416 79762\n1151 10814\n35496 80696\n26381 97686\n51075 82168\n44443 88982\n43789 64082\n47732 74370\n71087 96706\n3656 36860\n38721 40802\n80356 87231\n3833 20508\n3701 41853\n89992 91635\n44177 57798\n15873 52654\n43054 77531\n18960 45546\n47673 65940\n76824 94632\n20948 22653\n5932 27897\n18416 73650\n12715 20345\n66765 81555\n42358 80413\n58634 59983\n17565 28840\n45443 98653\n7117 40262\n41027 88433\n41764 89923\n23410 51921\n62377 91785\n42597 56029\n57869 89762\n1473 19267\n23358 41177\n30742 39326\n9031 12708\n32066 74910\n22554 80608\n64149 83503\n52512 93486\n13206 15426\n75189 82229\n52980 83137\n33219 74607\n30290 65475\n23698 32383\n61647 78556\n57187 99896\n11914 74828\n76178 93530\n11775 64434\n21893 66134\n11003 70318\n27334 86313\n50309 85401\n53546 96346\n41541 84888\n70985 75511\n25027 40428\n33802 58354\n41792 96806\n55666 65142\n55128 86431\n42247 89217\n33726 99552\n43032 45137\n11771 54250\n76564 97726\n38290 94446\n48031 86269\n2002 90597\n4495 86758\n52107 92242\n54472 84602\n1316 31141\n29628 61940\n30694 46494\n50369 83822\n41847 68064\n9298 10624\n42703 45385\n21768 35262\n8101 44230\n2681 34586\n30272 48381\n52739 71798\n34712 49147\n29240 98665\n20243 75139\n5364 29909\n59619 92587\n27497 95373\n16701 94202\n79262 84100\n80357 90081\n36127 36963\n23854 51074\n50745 64102\n7823 50382\n62733 75274\n37418 78174\n1087 38019\n29663 30291\n53814 95902\n83705 98363\n21161 82948\n51972 90765\n51495 94995\n7983 58016\n40526 98142\n9851 77566\n27415 73429\n59739 76196\n58533 93035\n55440 55441\n50092 53505\n72846 97643\n34037 40557\n2313 14839\n43826 85641\n10431 46958\n58184 64781\n18441 49343\n41894 74182\n8364 77138\n71697 81400\n53126 57356\n37860 77245\n72005 96159\n32426 83953\n31002 57845\n3784 46488\n45508 99282\n28224 43277\n44128 81161\n48043 73965\n34044 34914\n40441 40712\n43642 71186\n63498 96985\n40114 66058\n15563 63205\n49943 72912\n20589 86915\n17042 34052\n5314 77757\n13567 18626\n12627 27505\n51654 84509\n71234 74698\n51331 60498\n5450 63175\n2994 6568\n4159 79266\n29479 53841\n32328 69254\n32575 97325\n33357 89077\n37540 87267\n28586 40277\n2636 77504\n226 88800\n69143 76410\n10719 72522\n27529 49814\n45162 78135\n24339 86253\n8003 52550\n90393 93756\n6623 43997\n18162 55983\n5059 61379\n5238 11852\n58501 67651\n29804 84373\n16254 81225\n26724 61754\n14023 91439\n6679 91971\n43152 66486\n17269 69933\n25981 42992\n46973 97737\n20900 21184\n7206 43293\n3069 73958\n8438 96680\n54619 62657\n11223 79891\n70476 79635\n2238 25040\n14377 65273\n36608 57168\n71699 73519\n10779 52035\n73355 78544\n1780 78000\n5545 31773\n5487 63437\n19992 86246\n47799 53779\n31774 62166\n19474 25459\n22521 78324\n13745 82834\n16846 36188\n30370 83899\n17741 33418\n42291 61168\n60858 67755\n10279 54992\n55 8996\n81176 99758\n22466 40361\n20980 42419\n45190 68466\n88524 98503\n41415 83156\n51994 67112\n13453 79569\n11311 28711\n26295 90798\n54917 66063\n2768 81581\n74655 89228\n34495 59196\n11834 73616\n368 24564\n50176 73308\n61069 95424\n13134 46841\n58281 58674\n5991 9136\n7017 32968\n12434 80566\n58511 64390\n1498 18514\n32143 37752\n735 9382\n27791 47792\n54878 77736\n49953 65315\n25792 79538\n23405 34782\n92927 94270\n8696 46735\n19042 29634\n21234 24296\n40528 87615\n24650 73411\n161 16697\n2030 84500\n24612 88705\n45832 79349\n44070 85455\n6825 35736\n4455 34591\n1645 88644\n33852 43912\n96758 97395\n66776 77037\n10447 53657\n9503 65466\n29881 89944\n12696 95145\n81575 90528\n33374 87988\n73765 99135\n20074 90708\n4134 95340\n17440 32371\n47585 81258\n78579 91843\n332 98574\n11538 81819\n23586 88009\n46096 69822\n4201 89195\n63193 71954\n31628 44775\n47763 88651\n79601 84019\n9153 40419\n84554 96934\n4584 63011\n8830 31238\n53041 85761\n12985 59274\n54351 60012\n55435 99866\n25970 93033\n4439 52915\n4903 51507\n43017 63113\n3903 26187\n59722 66041\n9966 99740\n31928 75647\n44112 82682\n7449 48846\n27993 36309\n66461 74037\n79992 91999\n22823 35030\n17567 56406\n41693 96647\n16387 25984\n10892 44747\n71663 83906\n7079 49272\n20477 43558\n46635 57274\n65806 92531\n27425 46864\n17300 22797\n68370 98702\n13623 58104\n50596 82904\n2492 47857\n40425 41400\n7505 10232\n38710 74851\n44495 77380\n32625 93561\n7284 59860\n25745 92437\n16776 94364\n42279 76850\n1357 53541\n20561 93969\n28653 29737\n297 83780\n53418 92935\n8155 27158\n16866 88397\n69597 78331\n30418 75825\n4403 99860\n259 67033\n55748 64799\n28076 47666\n76745 97012\n21128 57081\n18242 50705\n8868 38270\n15367 49793\n15490 55143\n7804 30531\n57133 57169\n17292 73122\n26179 84953\n24532 47619\n27355 33487\n5578 77371\n7336 27719\n2452 29929\n54211 99056\n80641 83308\n34214 65239\n17669 58397\n52269 98618\n80978 84475\n26247 66654\n95263 98578\n77399 91839\n11208 85744\n39180 75279\n17479 79340\n28242 39866\n13180 19663\n9497 84775\n34232 95395\n28153 98597\n7894 31756\n39551 75213\n70532 81164\n86761 92566\n24723 94724\n42625 64223\n44098 68156\n89963 95058\n9586 16633\n40936 63865\n23703 91437\n5435 28776\n79171 97751\n4525 56142\n34784 94372\n9899 79385\n56370 88153\n75903 86006\n53173 69833\n12143 19245\n13286 83366\n59439 77089\n9623 74857\n24251 42716\n87497 93941\n5706 81843\n10229 44267\n51317 62664\n15129 19328\n41570 85142\n21284 64680\n45267 56810\n28135 54074\n1728 23506\n20888 36679\n62787 88661\n47044 77398\n37323 74279\n58737 91355\n22934 36010\n5318 88603\n46870 97166\n34590 41079\n1871 84567\n15415 23454\n86413 93739\n27643 78965\n20442 21367\n20860 98420\n12324 25390\n24108 94473\n68173 91983\n29317 84077\n42087 83810\n14460 30975\n62963 94909\n36238 93262\n88838 93406\n8481 28092\n23075 80883\n31360 45392\n105 77269\n5758 57926\n79908 81714\n7082 16519\n14211 81100\n3149 9126\n14481 77955\n10362 19823\n31675 47328\n15111 31054\n63716 71396\n14301 78429\n41735 46664\n35315 56886\n11763 17422\n60222 84086\n5291 69488\n1312 97575\n14202 51257\n18804 54203\n23199 25402\n35658 84249\n5096 61630\n27044 90383\n59190 91371\n5367 55900\n14424 55602\n53589 66938\n27268 80982\n23919 62245\n17221 71117\n46987 50139\n73254 75367\n1956 23191\n3542 21268\n48616 53157\n80595 83830\n22268 50108\n44391 59148\n25539 54455\n4269 77070\n60479 85135\n50184 81708\n22927 59903\n31113 31304\n1245 52694\n7986 46483\n21058 74819\n22101 33457\n69952 84702\n44274 87518\n94104 96828\n51098 68212\n42530 54091\n12605 48453\n45867 89378\n12437 36325\n58882 99694\n36902 64513\n16608 76276\n78343 91168\n52659 93250\n48838 50407\n10080 67589\n38070 97535\n5640 85386\n7390 97133\n58662 65971\n290 84873\n38708 39023\n30608 79902\n65659 83371\n16305 60341\n40050 66772\n22536 80335\n29482 85348\n92745 96744\n3672 82218\n32618 69781\n14691 32036\n45847 58807\n70544 98040\n13762 59537\n14624 67940\n37416 63131\n4892 12612\n5382 19609\n8477 34270\n70105 99057\n16600 56935\n43652 75534\n7381 89552\n25505 88608\n32132 55310\n55170 91691\n42157 81009\n79445 90548\n5518 69920\n59733 70285\n19517 81290\n47364 60654\n30546 79950\n55143 56505\n63143 68120\n51141 95431\n22133 47597\n10911 48996\n24884 78587\n18013 51674\n15835 99593\n9109 22739\n40098 77774\n80715 96469\n54999 91224\n69846 88923\n4752 39289\n11303 45822\n20521 49425\n38674 92098\n13886 85281\n21556 39010\n48433 87704\n4916 52290\n40222 65917\n4590 44551\n45333 87315\n16317 40078\n67194 92944\n7119 53014\n39043 84675\n18817 64837\n38960 83472\n83983 98946\n29267 64049\n10244 79697\n8504 43058\n45192 64264\n6566 39089\n17899 74607\n7200 46094\n15266 92396\n25578 45468\n239 40982\n21622 28095\n58574 76389\n264 74168\n40251 60518\n47601 51528\n42612 74694\n60723 61339\n45684 64812\n46060 80574\n19959 45354\n62262 74316\n39911 69045\n16932 82800\n36817 80668\n11751 44825\n8292 18190\n34648 44047\n29884 43274\n28792 76764\n18307 47153\n10056 96818\n13816 22103\n26321 89522\n22417 33707\n14223 79528\n39005 46158\n28931 51371\n40097 74846\n11397 96348\n95028 95432\n3702 49391\n31199 68839\n21394 70147\n26465 51917\n8699 37191\n22767 72971\n22532 29781\n8070 26444\n54143 88989\n41339 51785\n62175 88042\n28692 74525\n32016 54724\n25384 88976\n50555 72983\n13339 91744\n12368 79733\n22953 73594\n45398 63411\n86966 95817\n11768 39463\n37028 40792\n65111 66664\n49222 52232\n7124 56437\n74869 90889\n68346 80209\n16353 31152\n42712 93553\n47180 52326\n36969 76215\n44967 86778\n39146 60584\n11877 40469\n14151 21249\n21875 70703\n4715 83431\n47250 60151\n14528 88203\n32552 81679\n8231 12830\n37356 72047\n43373 62882\n1085 9606\n46547 50416\n31573 61685\n93007 96266\n3373 68601\n31340 70905\n3957 94596\n39346 82786\n17997 27661\n13085 74186\n81337 82422\n83452 90809\n8323 75231\n30678 34735\n27641 63551\n40040 80635\n44002 58228\n4199 52744\n45058 94984\n54740 62389\n59838 60895\n21228 40147\n59193 84357\n6063 12476\n10530 64738\n55377 62062\n56894 77759\n45721 66749\n20127 56131\n57611 72464\n4930 80204\n10151 59127\n36868 44943\n5152 63984\n73224 96843\n12222 25933\n48378 91212\n22015 34351\n3 1652\n81922 91959\n521 71419\n33844 45965\n95133 99196\n41723 65553\n65140 80850\n29331 66567\n41334 62599\n9378 91080\n27670 47260\n24857 99592\n32479 47864\n18654 39702\n76399 84496\n1678 67473\n67430 81477\n41302 50961\n11636 20160\n6160 14298\n6873 91031\n44621 61332\n50785 87388\n38498 60064\n6846 60040\n29119 80003\n6959 17928\n51168 71098\n35800 49251\n3472 26943\n12670 35418\n34176 48514\n63990 76161\n36840 71236\n40184 84474\n54745 66050\n44930 86131\n42971 61760\n14019 68439\n3670 85681\n13555 46830\n57197 86439\n21497 66471\n51259 96183\n2416 47663\n220 54257\n54294 98751\n31972 61481\n64825 80381\n5496 40493\n28280 49241\n29780 43994\n37168 94116\n71356 82024\n14581 42181\n22552 64543\n35334 87289\n6997 46373\n45670 87453\n69753 71759\n497 36613\n28353 59898\n65431 82253\n40501 49384\n18638 98475\n15368 84180\n65522 67589\n36327 98021\n7013 24811\n11395 19290\n65566 89163\n79848 85033\n28826 43651\n36965 78095\n45389 73568\n22269 66800\n11145 60412\n18360 58738\n6944 76143\n41696 54576\n10382 85970\n34916 75446\n57479 64237\n18645 91520\n17935 42728\n22511 28751\n16500 99493\n41832 46383\n12516 57707\n19392 40967\n86217 94950\n19625 69639\n8245 83507\n68564 72389\n20321 39640\n58063 85727\n6581 41901\n48293 55000\n11417 44768\n64265 72536\n10104 75182\n1094 78669\n11005 47591\n15572 69316\n42404 47007\n26555 82707\n10313 16329\n70340 97422\n42200 61836\n93681 96600\n20216 80878\n5431 66486\n28991 74043\n53896 68828\n78739 99179\n24739 97081\n7236 82811\n1553 97742\n3107 10983\n60448 73683\n25462 91685\n39967 69888\n4820 38689\n31605 98332\n28587 89991\n18847 78023\n52151 70963\n32214 99862\n79508 92041\n37092 89087\n28077 96531\n14611 24098\n41244 96664\n39348 99277\n52393 60751\n65421 80624\n32916 37863\n64836 99860\n10022 35730\n31928 84203\n5205 68227\n25981 54698\n5525 60809\n27772 31653\n5822 38281\n34796 51862\n83346 84957\n33985 76875\n64937 84957\n4658 10268\n56907 85386\n22018 65985\n45837 98914\n16222 62579\n36526 78981\n4906 51886\n36595 95715\n72660 78407\n42170 91260\n2474 63071\n5873 12360\n56189 74916\n41945 92589\n8776 94692\n33195 48641\n77799 92313\n38587 96462\n12324 62918\n23248 81813\n16767 32649\n6198 8111\n49840 97083\n43859 93624\n23260 70969\n39933 61303\n21522 24728\n7544 83755\n49931 74894\n10224 22919\n19936 40975\n9212 53880\n86146 99640\n8688 57507\n40873 55026\n3056 4285\n74021 83536\n18041 82457\n56479 82380\n36704 85705\n32326 94521\n34116 98345\n55850 66661\n52548 71770\n18104 72822\n39856 54004\n63852 74633\n12330 63176\n10680 23530\n52218 62067\n37698 41584\n37609 47548\n27152 34064\n78774 86743\n47204 84978\n69012 86077\n12826 46150\n29065 63599\n36945 56102\n21861 78533\n26066 47548\n47433 71034\n56155 88726\n39246 86538\n38073 57362\n2436 81490\n34037 93482\n686 51203\n20654 96799\n20732 80364\n20898 71946\n10798 16880\n6877 33132\n13202 64704\n11238 36386\n44395 48197\n26921 62814\n1804 49997\n61126 98224\n4488 8378\n51682 57626\n14368 94680\n23116 63542\n57991 63842\n66277 90497\n7081 32445\n6146 46746\n2837 64161\n56103 64466\n33297 85472\n31396 37637\n70097 70655\n49934 60489\n36312 75632\n431 55929\n36899 60608\n64022 74676\n63055 94339\n58852 90422\n23773 60830\n36799 62541\n35507 47468\n27985 90966\n20400 56033\n31648 54299\n83349 83430\n13353 65055\n8871 86010\n40175 52158\n41516 45461\n66443 96165\n47215 65532\n37980 54661\n31602 87609\n8993 36132\n57339 88816\n36329 72748\n46643 63053\n8673 90587\n8179 19471\n40742 67100\n47718 72917\n26859 56113\n27450 27781\n16131 54942\n46870 57152\n60519 71871\n31745 98937\n20164 78471\n68092 90790\n51733 75930\n6977 86092\n56346 95848\n84 33325\n9558 99604\n1755 87122\n4822 30538\n27458 41684\n85414 85675\n14495 49744\n4233 70630\n37885 78885\n83352 94267\n11144 28724\n47375 51792\n7924 28376\n26777 98511\n17057 45368\n83110 86755\n28938 40389\n50028 50174\n35825 97479\n30968 64918\n10633 47716\n35292 41764\n14900 37228\n11124 54618\n28811 84837\n27103 40164\n47572 78633\n6530 57001\n33516 85563\n15066 72242\n5372 93306\n44594 63778\n59851 77636\n43403 48564\n3256 20030\n61465 74495\n31732 40417\n76198 80952\n15396 88963\n62850 63016\n28716 87821\n74202 98603\n44277 70176\n13024 85367\n7478 89403\n1404 70067\n68263 93357\n51022 69994\n44330 98603\n11030 80693\n88097 90676\n65375 79762\n25979 71874\n68548 74982\n13705 96488\n31602 59195\n18116 32805\n51816 69697\n41883 66628\n85313 94999\n15135 44931\n3393 29522\n78399 89659\n74390 98540\n5098 15015\n9360 46075\n2227 41928\n60119 70116\n27357 43819\n44885 52640\n46176 93899\n6141 35876\n12483 44494\n39652 74466\n13855 74956\n43293 97181\n4532 96479\n1995 72726\n7179 80241\n7785 76696\n61022 64337\n8593 40060\n36766 88978\n36463 81409\n38326 47556\n20042 93139\n9225 39150\n41258 59497\n50474 79191\n18443 43010\n6245 82895\n53194 87478\n10756 95446\n12138 99153\n35950 73978\n25695 51563\n40724 75357\n16787 69871\n32827 62535\n9880 65453\n43964 72160\n52385 88794\n41075 43078\n70674 78168\n38916 94014\n11040 69053\n8437 56965\n23942 85089\n35449 66188\n7243 85600\n8089 97583\n12736 76083\n13738 24518\n13602 18604\n24901 49256\n77448 90530\n22127 73387\n69204 93971\n6060 31247\n71663 80878\n15888 26914\n57964 67790\n55309 58516\n61491 73218\n1199 93052\n10222 67241\n8846 70720\n45327 91429\n5367 29005\n3466 36792\n10064 45852\n7246 18504\n12938 33322\n73967 96199\n40871 42233\n39419 88105\n60222 84799\n14976 33413\n43507 62055\n24940 91827\n10547 83047\n28451 79279\n32274 91562\n29531 50081\n55279 99068\n17170 32116\n5036 61477\n10351 50079\n23282 30153\n79383 99408\n11058 66529\n36786 68528\n15815 69033\n25650 52772\n66258 67457\n60197 72161\n26923 40864\n49872 99163\n56079 79106\n62940 76770\n83103 91684\n11666 63413\n90868 99190\n13497 69493\n68374 91733\n7947 46949\n62424 73603\n63643 93968\n17464 66273\n27443 84931\n48394 57686\n636 15822\n22466 70636\n55969 60357\n17696 58390\n67907 89473\n78239 92679\n33959 77516\n48523 84968\n57434 63519\n10390 68598\n33238 60011\n41763 87520\n52069 58138\n22398 84476\n27810 46899\n29488 89558\n36380 96399\n10293 74230\n24737 67642\n67127 67266\n5217 65115\n43797 83913\n30186 93247\n34423 65500\n6963 67845\n15419 73152\n6949 72088\n44600 62969\n21779 96376\n49954 55775\n17950 55818\n8497 33511\n30305 57161\n41781 44269\n14788 30092\n30146 69889\n57600 57942\n46687 68577\n49851 87670\n11287 72566\n41148 62085\n8562 93014\n13306 25618\n4589 85007\n3935 86786\n51711 74041\n12308 78276\n24483 55141\n6372 52557\n24873 84349\n16578 37284\n62844 89538\n7621 33262\n85661 87249\n53868 83560\n1567 55817\n40201 73766\n54488 84447\n4982 43287\n54007 63968\n53821 86698\n9625 77941\n10109 22572\n49583 55725\n36142 86762\n48496 76014\n10125 10689\n10808 85067\n38962 83185\n34615 53490\n2022 65722\n77885 79804\n4896 19120\n6884 64027\n7808 59158\n19987 34489\n4877 49789\n48636 71424\n15268 89927\n5786 92516\n60658 63936\n57311 59893\n32816 62958\n50012 58432\n45409 91345\n36224 41450\n20609 59635\n19261 59923\n12588 54113\n28526 85330\n41197 95460\n21369 72340\n71355 90982\n14929 65384\n27851 96371\n17425 18529\n87058 96561\n37204 64798\n33106 72211\n16586 19680\n53073 70992\n6759 95516\n17973 25349\n65886 74709\n12730 14318\n45931 74908\n83 47427\n25268 37126\n15995 26759\n919 18867\n1169 66255\n33592 65545\n45660 90198\n53570 76685\n62289 83432\n39146 47086\n5526 99842\n31137 34941\n24028 44740\n48450 50654\n15416 74115\n21075 78409\n24242 68891\n45883 77579\n5614 58606\n29477 93984\n59908 80672\n47894 83835\n32623 97657\n31647 63952\n18044 98413\n24630 92091\n70441 95347\n40374 61025\n60166 62176\n11962 21550\n34700 38567\n4530 25387\n2228 80982\n23349 29844\n52344 98415\n64109 73630\n22750 86945\n26097 80640\n50061 73029\n6138 21799\n39150 47008\n1913 13234\n48507 68605\n27654 61087\n47583 94126\n51108 64095\n75263 79593\n8592 53133\n24187 35411\n5142 21522\n39293 55065\n32419 81687\n50213 91922\n11411 24685\n9534 58991\n1627 39668\n25900 30317\n17793 91221\n42233 70218\n65689 87236\n6795 86938\n17159 24075\n16321 95841\n24599 79931\n38717 76583\n58607 77864\n4905 32019\n1947 21701\n23011 49497\n82139 95379\n47337 93707\n7818 31644\n32062 47686\n83075 91648\n9438 32146\n7574 73881\n66742 86222\n21860 44551\n61499 77986\n91996 94195\n20316 85620\n47762 76567\n73716 89710\n8031 34966\n38607 91225\n52632 70510\n43782 68194\n46147 63077\n7931 81036\n71699 99985\n36704 62583\n42377 87765\n19882 45288\n43360 86676\n18724 50743\n39642 53415\n12413 26412\n12643 63028\n12804 58594\n49727 66924\n78269 93090\n31611 60734\n21494 54436\n7728 19629\n45256 86150\n3814 53137\n13231 76954\n4211 56241\n8320 83272\n45657 54872\n7232 15226\n22432 58523\n51635 93368\n13198 86850\n19512 27012\n64606 96517\n96957 98053\n76771 78308\n50727 94503\n47533 79350\n37477 93216\n53397 64338\n34899 69931\n53120 87344\n6672 70500\n33753 52654\n29609 86054\n28863 87464\n21846 43893\n17016 82230\n60453 85886\n8210 13207\n57951 80159\n34907 96450\n38563 53212\n38531 95671\n42107 82460\n59570 96924\n34303 62698\n59482 70180\n44279 59228\n6534 70303\n45675 71468\n51174 59518\n10720 64086\n613 82632\n25950 29993\n14276 56964\n31193 43283\n66718 87664\n2141 28894\n34853 65501\n71852 93222\n41398 62877\n12171 44554\n27057 92168\n51657 84383\n4393 39522\n38896 49087\n40558 50540\n5619 66009\n50421 88489\n19473 29564\n27720 86399\n23607 38475\n38930 85082\n40127 51248\n45721 70833\n24983 58529\n12689 96888\n21087 69021\n53009 99596\n42202 94560\n20069 50425\n28191 97140\n2661 52512\n4915 26374\n24926 62057\n26489 50886\n35294 90887\n5411 17247\n38508 73635\n39826 80556\n10319 19230\n36747 82987\n1868 95263\n14152 60639\n27758 49515\n17813 25037\n28473 67072\n78168 89800\n64474 81169\n29893 89537\n33624 89013\n6247 67349\n81265 89531\n5445 41092\n3754 66638\n11845 48084\n29648 46764\n15859 18460\n2034 31071\n22173 95419\n24879 77886\n3426 49630\n26579 41708\n9455 11224\n19116 52793\n61745 69433\n15560 87483\n37503 90107\n9098 37768\n28863 69653\n45879 63557\n34098 82790\n55987 58110\n1186 32210\n26734 40698\n20095 57096\n45886 46123\n59581 80336\n78397 95076\n16381 69482\n7949 63699\n4588 36643\n30870 83317\n71133 97193\n60991 71586\n45780 81004\n4897 8070\n46726 63032\n39412 61477\n34792 84412\n36625 76603\n44030 83535\n16098 33845\n34308 65035\n37231 49056\n17103 74093\n41601 96148\n52960 77147\n22421 60234\n18105 58521\n1977 58290\n45571 90681\n21536 36897\n9416 86105\n38518 48497\n35645 53764\n9367 88565\n19925 61266\n13594 90557\n27002 46209\n48872 83134\n8154 21052\n15130 52874\n32465 55109\n13981 27669\n56227 72197\n34822 80965\n4190 55390\n39025 80548\n30307 76957\n18969 55343\n11257 98958\n31459 49429\n56928 94798\n59983 81618\n26811 32447\n45429 69349\n23366 41731\n11823 45735\n58760 77971\n16444 84036\n85293 97429\n1160 84339\n56272 67537\n69455 89506\n54686 87880\n42332 99014\n15089 70660\n79333 87079\n50604 59616\n11991 58031\n2343 19490\n2001 67660\n5072 28177\n42808 93520\n19856 33625\n78229 79699\n82643 89623\n42786 52453\n78193 98170\n78847 91247\n40594 73358\n27588 71870\n7465 90616\n66145 91825\n268 38916\n40641 44142\n5768 51544\n86162 92733\n26667 49969\n88337 97385\n43816 77354\n10969 76546\n60287 79651\n27203 88813\n27617 30494\n56526 71268\n5503 99245\n16396 83908\n71030 79681\n65337 65941\n36717 41439\n52982 76722\n2658 28010\n1371 23305\n42031 46175\n14699 84543\n29619 40170\n33297 35825\n1877 80373\n29524 67063\n1909 43089\n48013 70006\n50687 97588\n66229 76492\n58982 89807\n3686 3723\n58114 74401\n61009 96892\n30577 97984\n34168 58022\n13462 91233\n7502 35816\n53213 82109\n23777 99452\n55359 86559\n20426 97180\n5801 19158\n50396 83076\n37636 93906\n33218 90697\n14505 77717\n65527 84635\n48735 84874\n4156 22547\n2268 64197\n57097 71538\n68486 78014\n69272 93100\n50768 94192\n70835 78106\n22666 57170\n26484 66852\n2544 95229\n6310 80156\n41057 74581\n44915 61216\n2037 75353\n13090 85918\n30035 96259\n19539 24256\n44149 61731\n7457 99393\n2697 51506\n39136 90193\n15866 25014\n21705 94353\n22042 35745\n24220 70472\n51976 58529\n45259 47994\n51135 95998\n4312 40173\n88123 90998\n14173 21534\n55850 80428\n15000 47778\n74334 92897\n63323 85272\n52163 52595\n26043 42393\n32881 99036\n59853 86233\n16840 93470\n1077 24210\n32386 92167\n25515 53613\n13130 23867\n39911 92589\n50054 58585\n56668 92288\n14527 93667\n67734 78085\n5952 23094\n12272 16384\n9131 45027\n28419 75513\n49796 63939\n73945 74953\n43793 54294\n7246 63188\n20512 84893\n3695 74840\n69 28720\n2711 62094\n73261 93017\n47289 58601\n14672 27884\n83316 94282\n37142 46090\n50282 87146\n6742 66741\n17070 89722\n22924 80026\n8050 69447\n7831 44173\n7012 34617\n10891 69996\n57875 67352\n30838 37607\n29142 75351\n13548 98418\n51372 69415\n2137 54976\n6801 11688\n57420 95147\n35050 77360\n30966 89292\n54362 75881\n9506 97525\n44734 57256\n45034 63068\n31013 74876\n8332 53260\n51320 80983\n58279 84684\n21157 70256\n82300 92795\n24427 37025\n34113 34468\n69142 88311\n66473 67277\n46157 49081\n60846 64327\n41474 74597\n6086 63526\n34016 72335\n67850 99794\n2597 68349\n13396 96260\n17528 23594\n68135 99559\n19113 43897\n45031 53223\n5790 13543\n43106 49844\n86713 86802\n91085 94846\n83840 84537\n13585 20961\n13908 59347\n3797 96068\n64429 80390\n545 24257\n20485 98938\n53613 97005\n3299 21485\n73523 81396\n30469 94204\n4685 66045\n28195 75181\n36848 98560\n47577 54556\n55631 95190\n33604 73811\n15627 86124\n3824 86557\n6654 60249\n28561 30616\n58466 85211\n30332 99978\n85856 91576\n30643 65463\n61558 73182\n22876 56159\n38162 85329\n31024 62583\n12943 93302\n57553 96148\n29424 94004\n31744 93346\n31460 94734\n69691 90295\n15172 83903\n62662 78271\n24771 89310\n75012 93199\n17338 94004\n14664 47360\n76708 82716\n6496 85610\n68489 82134\n48817 65870\n16883 37579\n41235 48893\n53281 78354\n69667 91566\n22032 78323\n36538 87211\n18968 50253\n22649 41918\n24184 47122\n6253 57130\n3948 86603\n13670 21855\n32516 78730\n41008 94692\n8875 94767\n12110 61828\n29009 79445\n24405 40471\n78773 79163\n35064 82561\n4829 92642\n86373 92805\n40884 83802\n67287 87563\n41704 81907\n19114 91095\n22925 31689\n23455 32616\n17454 86709\n20150 77937\n30131 64953\n55857 93895\n30886 89316\n64770 98288\n32476 82837\n17065 67490\n34968 49457\n58317 92569\n60872 82923\n32957 84285\n21168 84238\n21569 39871\n26908 54355\n12227 49104\n18187 77062\n91405 91910\n23509 49164\n3098 15456\n3270 13426\n2940 41490\n34969 66988\n20648 37026\n18272 97336\n2114 27092\n50223 96039\n13666 75764\n25063 41200\n961 27158\n47392 83999\n74921 87345\n49899 50200\n75650 75784\n61851 99338\n44240 63875\n44852 84601\n4686 12857\n31694 32941\n31267 41871\n9607 43443\n37658 98152\n45170 46232\n3802 22459\n54331 91091\n26260 89188\n19986 21964\n15297 17954\n30212 62796\n15164 27259\n96057 97496\n47062 82506\n69735 73367\n10403 19329\n22155 67057\n2642 54802\n19852 36788\n8208 21271\n2506 39648\n36055 40865\n30600 85493\n16133 64331\n97211 99920\n79796 84303\n26701 57496\n20390 51346\n49500 75012\n3757 62630\n17902 73089\n33990 78460\n48109 93953\n44189 71071\n94373 99871\n41715 78597\n9257 46007\n16065 52448\n19427 79235\n3653 74344\n47001 95929\n63366 85862\n57985 87053\n96797 97505\n87618 96134\n20616 21008\n32643 61513\n55580 60280\n88898 93418\n31252 77484\n78288 90881\n50629 58100\n4089 80655\n14881 49302\n66587 89824\n2124 86803\n4847 84509\n180 22700\n40568 97505\n54716 60890\n36930 44834\n87026 88380\n2031 12978\n16800 35761\n16108 66243\n81543 97955\n24586 40313\n30030 56889\n25532 74212\n21086 82821\n1689 4508\n17502 24197\n507 13916\n24718 79263\n43383 82241\n15112 51554\n32245 99257\n36395 71849\n5006 57405\n20364 53337\n17223 30804\n71695 82583\n1508 96726\n23800 39287\n10077 30291\n30947 78251\n66766 95372\n13197 32956\n68161 70507\n2723 37528\n16006 34028\n26796 94298\n56383 91673\n47640 97313\n61736 74535\n63576 79927\n30428 53888\n34430 56410\n35593 53283\n67004 92629\n3897 98454\n27907 29311\n52865 73065\n31553 97467\n20126 88315\n2739 72994\n54469 87684\n7727 80920\n14365 31434\n7317 19134\n36256 50081\n10680 36185\n218 15406\n77378 96625\n2990 73542\n40696 64292\n72917 76969\n73902 97642\n43596 49850\n7418 48828\n23986 99175\n6572 57000\n21483 55475\n45698 52541\n57965 59689\n4250 42760\n59983 62896\n41346 90450\n81738 90902\n14539 61654\n16553 96002\n5918 10464\n27910 58478\n29238 83541\n5435 23878\n91063 99554\n55562 62314\n901 58850\n7458 79073\n50709 71338\n63355 65607\n63949 99778\n4280 25936\n15518 36609\n17947 34889\n35693 71796\n67255 72766\n24072 55968\n9829 25089\n28480 47912\n14775 57466\n68828 71033\n47750 77469\n19195 60236\n35311 54932\n3087 43639\n22700 40531\n71885 89536\n54246 58402\n39507 57806\n1249 97823\n34489 73680\n11172 82753\n49715 87475\n26949 73743\n53289 94239\n6399 93218\n52996 58082\n16076 71083\n50255 92134\n49297 72180\n46248 89703\n28727 70839\n47154 49763\n44572 85470\n13526 17442\n6917 79223\n48448 56084\n65992 93379\n7788 23933\n77722 96643\n4462 64143\n63500 70196\n16717 59161\n44163 97258\n19187 71184\n71888 79998\n22041 39089\n32459 76983\n4270 86470\n9282 44098\n6602 89184\n89545 93844\n7126 50002\n25927 59375\n66680 86164\n19577 39239\n29767 79344\n11520 49089\n77165 85418\n15756 31502\n13481 18161\n31215 71596\n38863 66953\n47328 50642\n42175 96019\n35066 76211\n20056 56826\n57193 95367\n95168 97552\n54561 76827\n14058 67724\n43451 89204\n75637 92128\n2776 86330\n40655 66481\n53347 89683\n9367 90430\n6104 72939\n27359 51707\n37921 89931\n14128 77898\n60712 71912\n28394 83837\n8177 50200\n28392 76416\n15220 49640\n47685 87827\n37779 49614\n18455 93493\n36237 79815\n36688 74739\n38028 83979\n75407 85280\n19394 23059\n73181 80779\n32473 69718\n50418 68186\n56390 95154\n16003 62601\n10797 67340\n32160 81702\n8338 42209\n22978 45809\n20670 97951\n13163 21430\n17504 23034\n2165 6381\n17732 60535\n2909 33184\n24171 69884\n5222 35010\n2974 76909\n13556 63109\n20041 83646\n59355 62720\n24735 65578\n40609 65889\n10527 59418\n5235 15725\n70743 98763\n5355 21774\n6744 8058\n23897 99357\n51668 69384\n520 66132\n5781 40954\n83480 91562\n46171 89321\n1944 76155\n13945 89324\n76304 93826\n10775 96392\n21888 97904\n48189 95955\n52593 73814\n33005 85294\n1537 74167\n784 18574\n37889 82064\n11193 35431\n4041 91939\n77376 79903\n26440 81526\n83368 88552\n28056 81130\n31443 69891\n17369 65221\n15725 38983\n29605 65281\n6741 46776\n156 42956\n35888 61619\n4256 39036\n22720 36917\n43830 94814\n28873 73190\n11008 45103\n27654 84439\n70771 91724\n45783 80193\n14548 89790\n45075 72928\n33419 50416\n12856 28478\n46333 58778\n30391 44033\n39551 89353\n31311 35333\n79944 89236\n49056 86112\n20383 38913\n9689 56833\n2038 87190\n13001 33886\n86004 90038\n38139 78300\n3104 45785\n19286 87622\n53540 85706\n58567 58885\n50951 77468\n77121 85545\n68551 93804\n112 58771\n3045 20174\n25253 59622\n13315 46421\n415 25792\n10469 18974\n22315 46163\n7789 93400\n10429 42802\n71550 92980\n20533 24757\n56328 95043\n18060 84577\n9676 17660\n39275 95375\n45699 46935\n6124 60439\n38063 49253\n12668 44776\n57706 82793\n62714 66676\n77413 92106\n63980 68942\n7457 43150\n27164 72753\n5612 57151\n2162 89047\n11405 90663\n28219 90024\n39993 75727\n20231 30877\n29528 52477\n44479 52562\n17672 69452\n31027 41304\n2382 23865\n54419 93324\n1683 17512\n66791 85320\n19767 49947\n26543 53760\n1919 14121\n7526 47423\n25801 90360\n41819 96857\n7609 47206\n52540 78175\n1328 15948\n33525 82743\n19506 31784\n26985 71012\n25225 42864\n41484 65618\n1549 23452\n409 81456\n23160 66621\n9717 26900\n5785 93423\n11199 42095\n27622 43896\n4374 95199\n69840 78492\n67082 70357\n85502 87906\n16382 31764\n39602 98064\n34844 58657\n48131 58845\n34491 98456\n8682 92298\n25037 40581\n28184 94119\n1914 26202\n34138 52930\n42163 70611\n69580 77180\n7304 96281\n27083 63830\n74923 81902\n9247 25534\n32197 83163\n35026 77132\n85325 90399\n37283 68772\n38224 66901\n1633 68679\n2857 63684\n8687 62699\n5945 7320\n47186 93155\n83753 96939\n44144 89617\n28899 68419\n61280 97525\n35205 56248\n50373 66826\n25075 32086\n70654 97533\n73507 77146\n11345 33624\n40247 56536\n43397 72986\n3943 90206\n18690 52682\n10374 11310\n17588 89706\n87691 97680\n42961 90610\n11655 76003\n971 24219\n6804 66433\n26966 70471\n33283 81397\n41662 91265\n89440 92366\n15872 30339\n39643 93555\n65170 97517\n562 38989\n96287 99352\n53193 70213\n83924 93811\n24636 44123\n657 8965\n11370 90553\n34907 70775\n3548 89422\n27811 66718\n6527 84195\n9843 63774\n1582 76992\n3161 99042\n27225 48358\n45544 89775\n27814 73426\n24674 40159\n19674 81018\n39779 95756\n25628 61770\n24228 62226\n10888 23830\n51063 55102\n28583 95272\n16901 26725\n4120 16107\n18112 44384\n21092 64473\n27397 96808\n13477 57539\n39030 89436\n72877 77213\n28789 84072\n67876 75312\n11955 25899\n2775 80182\n31660 74105\n57328 84739\n68202 93886\n53366 96857\n52025 92618\n44669 56779\n24372 42468\n66390 92020\n77846 95076\n37948 64035\n8557 85742\n29995 81274\n51850 68555\n56507 88068\n77413 94711\n11760 24244\n31448 99107\n32954 64972\n66835 83509\n3323 98795\n20336 34120\n49577 67273\n44774 95202\n2789 80120\n40245 97965\n6664 96651\n76896 99803\n20868 60461\n51519 67475\n72772 77700\n9608 97201\n11623 73812\n29254 98768\n13011 36724\n11381 68771\n23366 77867\n7014 43760\n12513 28487\n20802 60375\n31239 70772\n3689 91629\n8416 92867\n61346 81463\n37158 65505\n48108 59370\n61762 69638\n46309 96530\n89853 97325\n18044 74026\n16435 82258\n42659 48461\n48517 62506\n11611 35765\n40632 41179\n81198 88036\n54164 59686\n897 54920\n23672 66110\n60113 73253\n18905 76429\n30269 55022\n52978 65138\n4788 9048\n34457 72798\n43733 50994\n51791 64595\n58379 74899\n64262 68472\n11729 12627\n17359 20387\n58279 85639\n5951 41904\n17873 94060\n2920 21537\n70542 92786\n24375 80930\n22018 55077\n47737 94167\n4131 4555\n12331 71024\n14272 83808\n76892 97919\n37929 79265\n6845 42891\n39414 82899\n2374 19303\n4210 26717\n34606 68982\n27034 35156\n5687 51458\n69278 69314\n23289 91557\n88818 96585\n171 69480\n90488 92471\n36690 67169\n76561 78006\n10888 31839\n19503 73154\n25864 85955\n6273 45840\n13635 93599\n35167 70098\n18226 67914\n91278 94820\n46835 66307\n11031 78585\n18726 93551\n9040 59659\n31538 39119\n8261 43489\n21705 91131\n32507 67182\n17540 87464\n70685 99633\n51040 60395\n30961 46010\n29845 85647\n7112 85320\n51824 66519\n12523 13811\n19474 93782\n31423 65543\n14173 21860\n48146 51271\n8219 15856\n57170 57446\n81334 89692\n2459 18270\n34239 73063\n1534 71661\n69209 72581\n70545 77363\n18738 61605\n80853 99867\n47751 69371\n44070 85913\n33019 98163\n15565 25935\n77156 83011\n56543 70688\n293 44989\n40487 70748\n5521 81854\n33175 98014\n42579 69074\n16850 84210\n6645 98295\n61491 69893\n17884 86228\n10705 27613\n7905 23482\n3367 65180\n24978 86555\n38420 81829\n29081 95444\n9988 28141\n67513 71061\n31668 71405\n71640 91765\n5569 54463\n47628 52919\n36389 53823\n3187 17264\n45265 94008\n40927 48637\n60405 89700\n16741 28114\n54924 61599\n40400 62734\n21336 41658\n73631 90208\n26754 27641\n692 76705\n12011 78988\n6528 68036\n57484 81135\n70551 97406\n42255 71656\n4312 7445\n12296 73959\n22168 56734\n53387 98293\n35893 97981\n12029 19952\n35316 77218\n43180 74827\n45194 57394\n10655 77454\n646 52090\n20552 52088\n3538 70565\n27812 97962\n59854 64695\n14338 27069\n27722 73203\n39467 59056\n44519 61994\n51767 64204\n47524 48019\n48992 56940\n24690 57364\n6377 81944\n49301 89515\n23428 53270\n60353 78995\n64145 82258\n10279 11717\n4629 54631\n8915 67800\n40391 63565\n15941 88850\n54865 72229\n37192 85287\n42525 86363\n44696 72803\n47529 59556\n11030 58950\n39129 85752\n897 99546\n46773 47695\n73874 95230\n69110 74512\n1410 37237\n8267 68417\n28544 79991\n26435 34469\n31724 53153\n47908 68110\n7679 27840\n17655 89852\n51844 87804\n53003 73630\n45446 81906\n55822 72418\n67530 67793\n86882 93984\n26991 99928\n53231 75247\n17982 39448\n41234 79323\n19692 99922\n42222 46293\n19176 90694\n13299 39118\n53171 90175\n24353 78963\n72492 90848\n57465 79380\n53019 70345\n1197 85740\n53162 73984\n1754 79669\n52987 57660\n6257 9563\n9630 38734\n32250 53630\n60115 68712\n79879 82615\n22259 90795\n85104 87500\n19931 58354\n19425 83774\n50264 78627\n53658 95301\n17390 44498\n29420 96759\n56422 77812\n84242 95832\n31135 61919\n22215 86819\n39426 78775\n42201 62861\n77453 99597\n6599 18658\n62087 82418\n36345 85797\n918 47068\n40375 93426\n57038 78230\n32278 58611\n55956 75458\n17456 32341\n43939 98083\n28687 86194\n12311 22958\n56281 57832\n17780 97074\n69720 73813\n26104 65699\n16928 52878\n44985 74411\n30232 84075\n244 3265\n41144 95481\n11868 19967\n5780 44990\n67957 88064\n34290 75809\n9940 93866\n17140 32531\n169 77840\n41946 55280\n24096 41494\n27884 64636\n5538 83086\n21639 88020\n22775 35932\n48605 97140\n16874 22966\n28602 73608\n63134 70052\n29221 91483\n80145 93412\n41372 83666\n9786 74410\n49054 66569\n44448 77101\n36806 62150\n44719 99806\n72792 82347\n8879 59139\n6708 70488\n20756 46982\n14811 49625\n50971 95164\n79109 92078\n66426 76726\n19005 26400\n32152 45820\n46327 53693\n56767 95437\n19916 20813\n50343 97356\n48250 55431\n14266 48590\n71652 78096\n51481 64543\n230 7942\n23360 53995\n58219 58703\n51802 66719\n20402 80381\n18534 78931\n72898 89977\n41438 68588\n74838 92051\n2211 31968\n55738 57178\n35000 93080\n36336 54115\n17213 44555\n46703 47187\n43829 90023\n16844 23057\n80041 95465\n44771 71027\n20684 93844\n11968 64228\n6152 19195\n4780 9699\n281 804\n31890 45946\n415 94047\n267 77606\n59328 67942\n85117 87668\n13673 72495\n11976 35864\n3588 71135\n38911 48669\n46004 63791\n4713 79985\n55170 57099\n4143 27787\n59234 96851\n53305 90212\n1172 90490\n35216 37451\n15540 29835\n38041 47113\n40056 85147\n27336 29060\n45148 99920\n81952 95587\n1336 66442\n68171 91831\n974 37529\n23880 97267\n28214 28869\n10347 42889\n72317 76057\n39354 78742\n70 52915\n75003 82618\n86796 99640\n82588 83866\n3403 30629\n63711 94221\n4752 83164\n62644 72184\n10161 32404\n58355 87138\n19249 29654\n7082 94474\n14358 63545\n26614 34262\n50332 96735\n3197 43611\n19412 27043\n27668 34524\n53333 66102\n64037 69392\n9559 50784\n4119 99123\n13055 98416\n38911 39743\n22691 48664\n37760 89897\n68784 81665\n28025 97292\n29143 84744\n56772 81702\n25822 47904\n11109 51963\n8782 81554\n60131 76426\n13134 42895\n6365 17919\n68183 99337\n4244 83649\n2187 72476\n21637 36752\n64036 86655\n9992 42220\n54656 92489\n913 53726\n20315 84456\n61029 83536\n18569 69183\n50467 51693\n29043 33388\n26670 35553\n47637 88280\n54092 95078\n19571 95601\n3813 86628\n14867 50820\n29565 90520\n64036 65824\n29697 71686\n30482 57235\n34268 54602\n5735 35514\n11900 64372\n11910 41859\n57367 80609\n10763 17204\n83152 96605\n44307 48699\n20322 96076\n51495 54756\n51176 69267\n52072 76724\n51918 95453\n43392 60980\n5408 64163\n10315 49924\n27089 56458\n15447 42999\n29864 83814\n31158 34336\n58909 75717\n7851 89481\n3626 19763\n47480 90641\n19332 58272\n1877 21556\n54953 59149\n26360 38521\n37712 92758\n76338 78169\n7694 12200\n30030 81209\n88687 95047\n31962 33159\n11706 34405\n4384 31850\n76292 96657\n10046 62143\n60704 96453\n70967 96770\n48607 61429\n46885 98636\n2651 9173\n8279 56015\n10817 91090\n28172 55577\n",
        "output": "358\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 97,
        "task_id": 541,
        "test_case_id": 30,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 100000\n3666 30431\n37315 91068\n26597 46180\n47901 84695\n9129 93975\n30620 45498\n39459 86821\n34287 68347\n81778 83846\n52741 60798\n75320 78526\n15421 45888\n55551 94186\n36567 66022\n53592 87902\n899 33497\n11422 42018\n18473 76973\n32172 68190\n21157 77936\n32627 72232\n94211 97742\n14009 43547\n8498 32363\n47688 81788\n59379 62732\n25130 99240\n34342 58041\n29259 94138\n36056 83052\n83296 88601\n23275 59034\n6430 73415\n36629 83363\n37572 78857\n30704 67023\n81498 92672\n73323 78437\n15815 63770\n39699 83154\n39224 99418\n46355 91732\n63296 74669\n36715 89724\n47873 60483\n15821 60840\n7573 57293\n30780 98405\n16634 36691\n16860 30159\n42230 62612\n14831 46875\n16069 17193\n36776 83251\n76246 81335\n21690 94127\n70419 82300\n21220 98902\n5736 55580\n75408 98511\n42340 54823\n8694 70058\n27311 52351\n44895 48523\n79525 87794\n6121 65011\n16748 50110\n49433 68689\n34321 49436\n51360 95985\n38271 64819\n5594 43260\n56393 64349\n1076 43136\n8378 81470\n21653 38799\n4817 83735\n91173 99052\n46962 48655\n67212 77666\n19401 78402\n17834 85846\n7377 49018\n6724 7432\n9237 72000\n13320 83326\n58540 66988\n18714 39686\n220 76214\n811 37473\n61139 78398\n25166 38875\n20286 66101\n31676 34819\n21096 23528\n33823 65519\n33230 44343\n88411 93637\n11219 59588\n2332 5824\n471 94341\n58879 79349\n34218 60924\n66737 94709\n32379 45732\n24135 29334\n16296 60332\n3729 78595\n56047 93335\n19224 19867\n8479 85389\n67841 90701\n45026 49862\n36137 61346\n38279 70514\n41265 47274\n65194 74845\n8178 13626\n38901 81453\n30793 86529\n25521 95839\n43881 53231\n18592 74880\n17100 35298\n1295 34833\n18512 19006\n3025 93220\n16325 84351\n80928 86174\n22596 53962\n70389 87451\n3474 86333\n34674 52623\n52834 63330\n17830 96884\n2655 68814\n32267 43635\n675 52136\n75352 80053\n75166 95182\n21965 58820\n14377 77801\n37907 96595\n8063 17984\n34618 51592\n63890 71722\n56064 68857\n86684 95623\n4593 48428\n31560 33192\n71944 86904\n50699 92238\n59554 80111\n20558 70206\n14422 29555\n21001 80770\n1355 1767\n68561 88841\n27350 92530\n1008 48690\n57258 89602\n51511 92488\n8777 12043\n49267 73323\n30902 79451\n18171 77391\n9094 28195\n70668 90481\n15561 58185\n46500 72325\n4008 21109\n18496 77626\n1458 80150\n12501 59105\n7895 71879\n38210 96726\n72244 88013\n85673 89271\n40960 72556\n11542 44786\n20573 43506\n35824 86777\n67871 98784\n5568 44288\n20437 81167\n16075 73748\n55101 92189\n75553 87372\n14335 28122\n9940 93582\n8508 47340\n34025 70482\n61019 97539\n15946 48793\n33415 97754\n50301 90130\n80857 83883\n20299 78781\n5510 8284\n63799 98985\n14794 99149\n55463 58888\n6624 29527\n44647 54281\n45733 93298\n9182 93927\n52263 80217\n4263 47018\n8431 80138\n23683 63449\n36201 85369\n62394 82620\n10688 28328\n866 84984\n8279 31490\n6322 78473\n8750 72012\n5945 79167\n45761 75101\n79759 91001\n22504 25606\n20259 84010\n36992 58264\n2584 57826\n57325 80179\n81667 88300\n30166 72769\n39725 44424\n34328 55962\n52022 60205\n77139 90287\n35418 91608\n41760 99078\n21675 92810\n43786 73379\n34576 98192\n55438 75179\n51144 70818\n11494 47525\n54819 92857\n67581 85180\n42114 65060\n13470 58737\n19114 49962\n75137 91492\n80626 91679\n10782 40936\n9069 43082\n12729 40254\n45574 57370\n29440 48421\n41149 49110\n2991 33947\n58056 68223\n28529 48093\n10313 10476\n59507 95060\n2994 54321\n82264 89919\n246 82761\n59776 88917\n14070 21663\n27976 44226\n1155 69200\n19511 54228\n40300 42727\n10990 76378\n30381 84209\n12059 38892\n7959 20576\n85755 87564\n45811 93608\n18031 44146\n13185 76656\n13084 17250\n33434 55665\n16969 63061\n39377 84474\n28731 51030\n8489 56368\n1127 55030\n20446 58227\n23790 24024\n37837 67202\n50593 81618\n9524 88143\n32663 71365\n60889 91461\n47969 54810\n21282 42160\n3120 6624\n44094 56174\n22263 90063\n6432 85797\n51175 77209\n749 40079\n45214 76490\n11294 66125\n15730 97492\n30537 78950\n71155 74129\n42550 76821\n71355 93096\n20950 35503\n66004 76230\n5263 47765\n619 32992\n47785 72759\n36594 94915\n2979 39130\n8717 23759\n7975 44429\n6308 11418\n26715 71197\n12105 40565\n10265 50632\n15629 23373\n4061 64015\n1881 50146\n28281 72744\n20644 77606\n47314 58979\n17415 38339\n14443 55235\n43942 83701\n9019 41908\n48492 83066\n34817 69848\n46851 74013\n12634 29068\n67397 99254\n57598 80066\n14663 53508\n63819 69695\n21657 69979\n49929 72092\n48003 93650\n36850 50276\n35896 72141\n7549 83859\n23065 50712\n22547 89986\n82949 99702\n27094 54365\n78783 96758\n28369 57241\n68956 90040\n66369 84548\n36475 84590\n27272 92374\n25228 50800\n12798 43921\n357 88118\n82181 83374\n20191 36649\n56298 92615\n10837 85092\n54942 92881\n36593 53672\n24117 57880\n33324 48806\n72329 73061\n5328 27779\n27043 99136\n74794 85437\n2267 44140\n7087 51697\n64438 92352\n7785 97515\n6545 79006\n2098 47408\n26618 55491\n27060 88342\n907 77254\n28330 96467\n30553 72381\n25506 90307\n96372 98954\n207 85895\n2501 21804\n38696 91361\n50321 95181\n51627 60364\n3689 95067\n39968 71705\n3087 51357\n13565 52881\n14638 66228\n28871 94708\n7780 28439\n16606 95582\n57955 84403\n10002 15889\n27214 96664\n5542 32566\n2555 85824\n86786 87525\n63298 91000\n30214 68826\n34894 77082\n12260 75108\n40951 99492\n41534 98731\n45270 81821\n11874 43347\n62377 65916\n6020 35212\n50067 90050\n2027 95983\n86116 87602\n41552 93041\n41103 64982\n35094 79473\n63411 66909\n44509 84302\n39937 91170\n70190 72839\n1727 79317\n43317 73211\n29752 76593\n20696 96415\n21754 58770\n33185 53708\n72921 78195\n21243 54893\n2874 8596\n6850 32252\n89515 98961\n42321 85852\n45474 91814\n69643 76154\n77120 87490\n11143 24471\n49525 88597\n40559 57858\n28338 34965\n4478 16939\n26454 48948\n25993 69213\n20146 84239\n14182 54419\n2952 86445\n4695 98966\n29488 70882\n43598 92310\n74824 75973\n35953 66384\n47370 56600\n10592 13292\n35679 72950\n30456 66289\n13382 42535\n58397 84497\n33172 93896\n38467 83660\n21225 35082\n64701 76471\n66371 68282\n10360 75768\n66353 85630\n22111 22642\n35425 63727\n23485 85378\n63182 63295\n5918 20250\n20397 27164\n22648 50313\n3959 39305\n40302 96625\n76906 90094\n12416 83728\n1906 66398\n6328 78167\n8864 28291\n12328 97344\n4517 85688\n20852 22254\n3677 98275\n44871 66603\n32165 60347\n8994 74566\n21528 34745\n73979 96618\n74415 76612\n36712 69181\n929 7491\n57270 80531\n7044 25065\n38510 70566\n8079 78382\n38790 74006\n37636 43249\n43002 55545\n5453 37481\n24973 44650\n42297 77933\n37640 66556\n87005 98114\n31068 51405\n2888 10039\n14260 51510\n23934 27084\n27601 88240\n27755 29920\n11019 89649\n157 85671\n26632 98909\n3219 29600\n12702 43170\n21454 28647\n9476 92160\n44937 85520\n27063 31893\n3479 25105\n32819 69327\n11247 49319\n40227 67789\n21202 72535\n38437 48567\n158 42205\n91986 93936\n34808 43250\n19894 75591\n19891 48654\n9875 66814\n61904 74296\n23190 89290\n52224 56004\n12925 26802\n59636 69861\n19634 31079\n37732 80916\n46407 95389\n49272 55171\n5827 7679\n65145 96051\n32444 90277\n62973 81179\n75139 83654\n9844 24717\n29771 89631\n41377 81008\n18980 70539\n26398 94003\n34916 43152\n21359 62958\n9744 29435\n39659 86563\n54225 99325\n10627 80290\n6999 36418\n27613 95129\n57457 84334\n57341 72777\n15856 26910\n40829 56800\n31284 85005\n77381 91607\n5815 28447\n45381 99577\n4496 41317\n25735 32146\n30033 47829\n67341 73567\n8652 71199\n2505 4422\n5259 71499\n67317 96399\n5075 31939\n18949 46546\n9055 34347\n25974 70001\n22931 61718\n21108 41994\n20460 81274\n16131 39355\n22739 76197\n10443 42154\n52406 83586\n17915 39072\n37474 84174\n65174 68931\n13722 84014\n60227 74217\n81705 82868\n50011 98421\n245 81477\n45143 64529\n44325 64498\n33703 56604\n20312 32378\n50784 62014\n2855 74708\n38456 97167\n57332 59745\n5291 61446\n71182 96892\n48118 98273\n4261 81129\n33349 50702\n38688 85725\n3768 78095\n78306 91609\n32462 97787\n48414 48458\n9733 17427\n33996 63220\n12088 53042\n80621 84979\n33593 80028\n12196 50300\n14787 20534\n21311 88003\n47848 74356\n20873 71351\n41271 61055\n40987 43119\n9876 17463\n32779 64813\n9940 92553\n21158 48293\n16943 93981\n20301 95435\n2888 35064\n51626 88379\n17633 51370\n35003 48443\n55051 94525\n58321 96026\n7895 41594\n20288 94296\n29265 96187\n87451 91950\n820 87194\n76338 79423\n5611 28587\n9177 89769\n40522 89919\n900 54890\n1181 57280\n52818 88291\n15421 69103\n58164 96279\n37141 89982\n29143 72468\n40631 57716\n36141 64371\n12930 27547\n50012 70119\n83582 86402\n81263 87391\n46669 70280\n43460 45086\n37926 51422\n63739 94935\n60753 82968\n47376 83013\n24404 63584\n3933 41371\n41996 96292\n40631 76892\n50092 64829\n59577 78343\n17882 41827\n2262 89164\n53856 80693\n44000 82048\n3339 44908\n62088 95589\n42321 87602\n5895 42679\n60381 82205\n20377 58313\n22463 77345\n70129 83016\n7564 84069\n36902 88657\n66482 86828\n37338 41604\n30761 60357\n21010 35383\n9002 69318\n89087 96257\n86136 87065\n33401 49483\n9744 40079\n8209 8592\n15669 86081\n58784 63954\n28886 53344\n56247 72288\n46450 82333\n45203 65046\n40302 73252\n17438 28970\n10701 63454\n74875 89423\n10376 74105\n42068 69664\n44018 66368\n14744 51187\n25362 35008\n58473 77412\n9584 14203\n68327 86018\n26981 83502\n62569 63004\n10204 80840\n26418 91881\n77790 80960\n61955 70964\n16747 79046\n59391 97038\n59131 87282\n50604 58338\n40150 42514\n40613 53228\n13434 27753\n39292 50191\n22503 36348\n75001 76102\n19908 46774\n73545 79995\n6933 61219\n40285 81069\n11234 28555\n29910 62740\n25735 49730\n41969 90410\n37395 76670\n89161 92839\n6255 33498\n1795 62191\n11505 85517\n28159 69784\n5406 53190\n69869 89743\n74000 96834\n2538 6054\n5799 12318\n19829 51427\n64985 80895\n10725 26905\n8252 31518\n37191 73620\n24922 51670\n19425 98979\n60921 72770\n32957 82395\n94246 95074\n2084 56553\n18453 79632\n26324 47301\n17581 61866\n30939 91781\n80050 86376\n39695 54430\n7940 30046\n53069 71724\n30108 30665\n20849 34670\n43285 79416\n29724 64477\n27209 36612\n76145 93497\n52457 56566\n98 50887\n35547 64835\n46766 67197\n5931 57726\n12573 50407\n17331 79531\n22496 88598\n4238 30404\n387 99073\n24821 56943\n12877 95481\n1864 84919\n79510 80155\n34175 52345\n91901 92842\n30359 36013\n43926 76284\n102 36669\n40273 73494\n86766 92653\n6590 65840\n37213 42404\n72943 93076\n36939 68282\n7364 67273\n82077 89038\n21220 67158\n10569 38816\n36940 65939\n69748 92940\n60488 65785\n24360 63153\n22579 67983\n1598 75375\n70452 75257\n14084 28505\n67805 84227\n38594 92209\n28133 39866\n39449 79016\n79764 95480\n971 18264\n64835 73078\n16722 73187\n93424 98735\n81363 87798\n6503 35841\n22097 60772\n7579 66935\n50810 97959\n16574 66081\n16030 88756\n15278 39216\n40336 75681\n20181 76576\n40803 66365\n54955 67177\n2771 12561\n32982 37269\n81976 84863\n48230 65936\n32870 49179\n11331 99016\n72545 83113\n41494 44870\n19041 40870\n18763 79997\n13196 57384\n43199 78407\n50803 96927\n2286 97934\n39947 81457\n20550 81026\n39520 70194\n2792 78373\n17463 78728\n44092 83715\n16178 96597\n79852 88267\n7083 81870\n18821 75904\n87708 88174\n47104 61502\n18162 72056\n66780 83097\n42708 44311\n40668 42315\n52961 91144\n21229 95264\n70253 97284\n27057 83539\n25960 65041\n11716 51303\n59432 99762\n7082 93674\n20834 72387\n11888 80871\n10120 83625\n20285 85098\n43941 57691\n52585 99379\n56503 64769\n73332 85032\n42042 68603\n64506 74193\n883 39075\n54999 61295\n23901 97785\n76649 87170\n26950 63175\n20607 61617\n14028 86453\n52625 58439\n3540 40066\n16713 46611\n48330 63487\n16460 72050\n64860 78235\n75222 94591\n17689 38014\n8498 17733\n43498 47637\n424 32060\n22102 75880\n54983 70206\n55903 65593\n5526 52285\n29890 31982\n40509 83923\n29987 86167\n34999 66202\n45969 59492\n65123 70557\n1695 65231\n6369 79863\n44767 99975\n18464 51123\n70368 74570\n4919 99878\n1989 50750\n39132 69869\n42554 79526\n61732 97194\n33020 42523\n71494 83537\n12950 72718\n56553 82582\n5715 65441\n31514 61578\n34355 64826\n17166 20766\n2128 93485\n30968 80640\n83474 89274\n31470 68649\n53090 79380\n26974 47677\n55003 96197\n12204 48738\n6411 43789\n31736 63570\n41212 56127\n29900 38487\n49808 93646\n6402 17782\n58468 66323\n33733 60794\n5468 5603\n83129 90341\n50646 83577\n15072 69510\n43990 73125\n66980 87744\n24121 50525\n13759 76568\n7585 51883\n76291 87630\n41445 41971\n66971 98919\n60418 86492\n6396 65896\n4486 64282\n76 84857\n36945 48848\n16472 81882\n1968 91048\n56899 89769\n15969 99535\n26953 44943\n21866 32984\n27787 89551\n620 31502\n41736 88472\n57961 70508\n64383 80146\n1059 29230\n31849 31894\n12203 65748\n50694 56919\n52943 91907\n42965 43194\n85327 99437\n23660 70358\n6217 58347\n15285 46821\n27543 94576\n67668 93701\n9518 95118\n8310 31642\n57768 65371\n57282 69886\n24263 79255\n82262 90033\n50946 73840\n54522 76992\n46206 58972\n90196 96074\n10326 27913\n16322 83334\n24765 66735\n16665 44660\n29328 98058\n5551 56889\n50437 77648\n23634 54652\n83538 87507\n552 40386\n21068 98280\n13395 30389\n53525 72828\n59408 64714\n56697 61028\n3110 63179\n56270 78668\n10277 54540\n33108 96893\n8697 85979\n20652 97448\n12605 95215\n13728 37100\n80168 92097\n80008 89970\n1979 9371\n45449 86171\n17220 97105\n26001 62364\n37665 73376\n4662 15580\n38166 48307\n4991 58979\n1423 16677\n30781 41001\n17820 29105\n18976 54233\n10365 20688\n59038 82300\n14433 66882\n35415 75923\n5445 24596\n2760 76551\n11461 19951\n32639 94891\n41048 72770\n1712 29794\n10218 91815\n92884 93461\n23824 52762\n56042 93994\n29999 73178\n18437 64586\n21336 62717\n40933 88725\n19432 91905\n22695 95765\n19961 63017\n66639 95620\n2238 61353\n14923 65117\n45223 61439\n27105 92951\n16825 47539\n55781 75108\n59721 65767\n63680 79553\n68554 90968\n16152 20926\n9442 44740\n72438 94793\n79159 88362\n8638 47373\n50342 67710\n18244 90660\n29677 56324\n18229 27518\n21281 63109\n23342 41002\n3227 21901\n78028 95106\n36419 42122\n46044 83792\n99602 99871\n22966 30006\n9496 71426\n31447 71320\n13606 74027\n30817 73492\n32380 67342\n3207 60869\n92714 98857\n19016 40130\n17132 99219\n5199 79476\n4302 43733\n57083 83383\n26689 41243\n44834 56591\n4485 85638\n73175 94348\n10797 97339\n23248 34084\n26184 95709\n46761 83391\n734 28516\n34977 99069\n9396 33036\n7316 72646\n47274 67410\n5402 29743\n8353 50137\n9246 70024\n8335 53371\n61331 90928\n30478 55013\n6512 74044\n84709 92885\n33477 35445\n29753 76162\n9006 32084\n6175 56820\n6938 66230\n33561 89445\n36711 38367\n96175 96429\n5917 26255\n5746 16093\n28153 44760\n39631 61991\n33069 67255\n9916 96752\n36 361\n10009 82870\n28916 55184\n10002 35248\n46417 55898\n4968 23036\n26847 41183\n21159 30410\n9589 47930\n32751 97771\n87892 88963\n1576 75302\n39201 39429\n359 59746\n24508 53791\n29170 48900\n2579 29831\n96282 98482\n19917 81830\n69436 71449\n31263 52638\n26906 61205\n20230 33267\n31342 42576\n41743 73410\n53152 84153\n10491 73824\n52574 98163\n58066 91476\n23820 61141\n32241 34328\n1379 8163\n13239 82841\n8154 75403\n22863 58971\n28692 85290\n11256 42934\n40500 56898\n526 26382\n28962 65357\n31167 56276\n65211 90018\n20717 91526\n4820 73895\n1028 63243\n68423 69827\n34478 55931\n2782 89185\n35969 67325\n89088 93592\n71994 84380\n52566 70642\n30154 39956\n71664 96955\n42021 65405\n52254 92973\n44287 48273\n22109 60204\n17191 60746\n4833 27559\n12108 44594\n43380 81823\n51066 98220\n31321 90169\n89526 96661\n38639 88546\n19071 91132\n1657 29141\n25531 41341\n25027 81626\n12955 36574\n21813 48686\n73776 83935\n22023 49884\n18624 92534\n35387 85848\n51793 84437\n53865 81522\n62290 74097\n15314 70365\n63071 78256\n78174 98575\n12273 21545\n51614 98664\n12874 43127\n63054 96091\n39207 76386\n33085 62144\n79513 86022\n67313 96872\n24700 49628\n16132 88048\n17266 36177\n29315 41208\n37056 45687\n52694 65486\n75586 81742\n36456 81760\n8340 37967\n52992 73161\n38686 99045\n7741 90549\n624 6292\n31535 68045\n22762 36025\n8932 78352\n20766 53176\n54141 96666\n20530 91579\n3884 36617\n49897 67407\n25977 51986\n34115 75284\n2708 34839\n16597 33042\n39877 58352\n41166 61830\n10106 99776\n33066 93243\n46366 80677\n30136 93078\n53559 67816\n30718 89129\n40542 46013\n17996 66653\n6174 21594\n6201 20599\n83756 94976\n1393 63144\n62019 90747\n35194 61594\n13463 30397\n50483 99121\n31264 51084\n54160 68044\n51147 51734\n43641 47466\n4886 60085\n73706 74248\n86047 94158\n60958 65840\n36169 88261\n7117 7133\n14217 52531\n29931 90901\n19059 90588\n41456 70805\n39224 40736\n23682 51658\n19124 94658\n27272 53483\n27285 73343\n30257 97152\n12492 19899\n40286 64643\n31758 64276\n10029 85605\n25912 96848\n21365 51184\n1190 50529\n12212 14217\n44676 55510\n10151 97202\n19726 21807\n74147 82724\n20755 93078\n20691 51840\n16004 33571\n14894 40276\n3693 46484\n56646 92581\n513 13692\n40590 67676\n50271 83921\n38563 69023\n38463 85410\n33533 45803\n15452 33798\n8818 24185\n71290 92206\n23551 30552\n94299 97328\n83083 91064\n33399 65530\n29217 48571\n95974 96683\n8429 71449\n78479 86605\n17107 46895\n44383 89683\n55468 70676\n22350 99884\n14350 83714\n72269 83251\n2251 3052\n45105 65353\n67967 69620\n36813 48677\n43336 94043\n57678 88512\n41497 60425\n230 77160\n30990 45809\n62758 87906\n47782 63355\n17525 21591\n24908 80117\n33669 75322\n1371 39814\n3170 98083\n44372 79685\n35237 73998\n23972 63675\n7954 71478\n12201 81923\n10670 74308\n36739 71570\n49524 52146\n8362 35139\n35304 73377\n41221 42240\n7163 27185\n49955 57485\n54359 95605\n1400 1968\n239 34313\n75666 88628\n9968 60670\n13248 17374\n21953 49382\n63289 92784\n7642 15315\n47885 84935\n48594 90570\n60652 83999\n7064 41852\n63584 66179\n34678 93859\n58124 85335\n37330 39397\n13253 38763\n60296 98638\n37192 37490\n5412 77654\n1916 82116\n48469 97227\n58338 86781\n10964 11069\n43541 43698\n71205 74426\n4433 94949\n25517 58366\n19658 98710\n39753 60117\n61096 98937\n45110 66494\n44375 63382\n8573 60504\n45352 46277\n18594 24334\n65882 72569\n3589 38878\n44677 64500\n58525 74622\n43255 96226\n14015 75069\n40878 61443\n34315 55426\n2104 62793\n57400 73384\n25679 68038\n66657 80924\n14632 26375\n89885 98053\n22492 94440\n6455 24533\n8446 80127\n39892 41917\n1425 91185\n76862 79176\n45851 79778\n24479 27375\n12928 58027\n89454 95038\n50188 65893\n1816 55410\n62007 86065\n2010 59261\n49884 72362\n48554 73330\n19322 26940\n31793 45394\n7426 19531\n466 29219\n50975 92602\n7843 71837\n81001 87560\n82 41227\n86094 92064\n30506 78305\n24289 52656\n13239 60484\n4077 15047\n72177 83817\n23281 66216\n86539 96844\n2782 41811\n7553 65769\n32714 59589\n22277 95964\n17505 96992\n83462 85447\n9611 80225\n13439 71649\n26609 52232\n2539 73894\n35168 49865\n18133 29644\n57717 65727\n51788 90730\n10796 72705\n17134 55533\n27185 78612\n35182 35770\n507 50746\n43614 75250\n79857 98561\n6529 69903\n63900 74773\n16584 24077\n41078 80579\n31130 47847\n28063 58296\n3215 62457\n18641 45579\n11087 37205\n9001 34392\n59142 80968\n76429 82923\n25093 27830\n39293 60510\n35342 93892\n13654 63573\n45789 59556\n32179 77564\n80260 99413\n79182 80771\n21297 59405\n34791 41662\n14462 24905\n25911 36356\n22338 97844\n45261 86147\n40450 98899\n16426 63416\n21123 52499\n1324 2436\n58866 85730\n29433 33630\n52353 59233\n22040 37780\n28502 48522\n14509 19587\n48433 76223\n37881 53486\n47165 79555\n36573 92910\n82964 95267\n26463 54410\n9709 93528\n65874 70605\n50131 99743\n23437 69452\n29575 61774\n44592 70058\n24230 41436\n78439 83951\n42595 68988\n11919 21395\n3406 46135\n36360 53163\n53064 89671\n51389 93312\n2908 56817\n3702 55741\n51431 70393\n23472 32184\n37061 87542\n3065 48921\n61736 97665\n48484 68559\n52314 91989\n53501 76400\n2795 60656\n15794 84999\n2584 22792\n77015 93767\n63398 95949\n14042 33720\n3350 27088\n52513 86697\n13293 52011\n51636 95204\n69364 81198\n35602 50486\n20053 86955\n20795 30998\n82970 94109\n65603 89370\n79043 89065\n9620 41626\n30461 75028\n59117 86319\n11332 45557\n21341 90167\n43793 68097\n2225 94464\n49163 86960\n13787 33355\n2621 50149\n33924 83447\n9024 49677\n12763 93266\n8319 35936\n26324 99046\n4772 22666\n44922 92260\n3303 29814\n17942 19528\n40730 63535\n91880 95943\n61255 69145\n7881 92485\n16184 99076\n52952 65686\n13437 31854\n2684 94368\n71958 94979\n32521 84574\n20438 65635\n59813 81211\n31327 70911\n2572 83876\n28857 39778\n28799 44813\n48594 75780\n75300 87700\n65118 69636\n84780 92967\n52438 74253\n26333 73126\n10926 48986\n32717 75681\n29780 57147\n5497 92633\n75203 96325\n7547 73387\n48590 84101\n89917 98248\n32625 34497\n12852 53588\n25185 80204\n10005 69432\n5226 71544\n8852 29483\n34295 75032\n40424 92737\n11049 95440\n30049 82633\n24404 44275\n8116 14538\n4804 49985\n27423 94738\n5166 97160\n63525 90995\n25841 91559\n45686 73974\n26371 34278\n2243 25955\n55208 67212\n80173 88774\n56777 85854\n60828 62331\n10131 12700\n27656 82533\n36993 79661\n36853 62240\n14102 56961\n6713 27498\n36032 48086\n59877 99538\n27599 66946\n64532 79308\n34625 57727\n7177 69971\n14850 26840\n9778 36405\n42946 98038\n19383 49298\n22249 33750\n15726 60164\n3822 35021\n11701 14253\n19347 72213\n74091 75046\n71716 97228\n52538 71535\n16377 17486\n21135 53150\n68120 94684\n3660 38148\n27037 93184\n64742 88446\n51638 72387\n74788 91488\n28176 53386\n29027 61235\n18641 41527\n676 90504\n7792 96964\n14699 87421\n26991 87479\n33603 85301\n66929 97025\n62748 72558\n42897 67000\n2252 41763\n18922 74318\n52758 72999\n58235 74685\n45816 94089\n21520 39038\n29128 91257\n66936 89549\n30837 42173\n12840 32081\n9384 80356\n46853 65813\n9243 21489\n60080 78186\n67647 98767\n45395 78807\n95644 97932\n1853 5939\n84510 85601\n7866 34729\n4870 7979\n92077 93661\n31443 33865\n4921 57817\n38031 52005\n24899 49430\n62658 98548\n23842 44979\n44020 81888\n3854 19156\n18342 68659\n6642 19919\n8932 50171\n13346 34028\n37097 99963\n17770 56665\n22806 99685\n15610 41876\n19359 40708\n53095 65316\n57142 95381\n52190 81590\n66869 80801\n17708 95413\n25319 44178\n33940 85819\n30631 60180\n42325 52677\n12643 49715\n65688 95562\n45184 54039\n46124 98891\n56302 91616\n41145 43512\n54806 55596\n4820 87871\n23234 54811\n19632 71995\n41007 88510\n69564 97216\n56111 70041\n152 93448\n22535 41455\n36640 92715\n32209 60583\n23654 68015\n9159 88507\n17003 61026\n27898 75148\n8036 42314\n46217 80060\n6120 68743\n13650 73191\n43008 59105\n35483 91433\n60958 82297\n58713 64534\n19379 71180\n21536 87411\n41129 80660\n15396 72296\n43189 53568\n6069 89330\n28266 42061\n68966 74528\n4466 16718\n4549 18597\n5788 14142\n59832 82605\n57744 90727\n29844 97563\n94684 96704\n1386 46262\n7164 17262\n23463 91977\n66445 67220\n17076 71448\n7454 98691\n35942 99406\n24954 38453\n41713 63366\n3571 56731\n1274 40863\n64266 99243\n60970 61693\n5149 33220\n22732 88500\n64126 96251\n13367 65261\n56936 61270\n46321 52226\n30166 75361\n561 38200\n19915 29729\n41179 86344\n13259 40439\n5154 41237\n89930 91029\n23666 96673\n3087 26478\n13578 83445\n7450 10945\n6082 33443\n507 89311\n60293 82856\n67822 82394\n9539 41451\n56873 65228\n87372 96677\n43103 62421\n86184 87666\n9858 18991\n27175 93908\n97548 98252\n27514 45627\n47377 98416\n27631 45190\n67452 90954\n4067 62555\n68578 75052\n8301 64916\n53486 62168\n36691 38140\n21963 43839\n2381 81250\n16836 30159\n118 19322\n36849 88422\n9655 12181\n44270 59759\n47871 51928\n802 47472\n8739 83275\n32537 79127\n6447 28957\n5417 63475\n1844 8738\n36766 99613\n12450 33692\n903 43669\n28602 46134\n24486 63137\n10293 37329\n10216 52313\n7012 61803\n7673 96153\n40308 87199\n21646 75841\n16952 44126\n26017 42806\n7495 18704\n3326 96925\n91025 93469\n84164 91624\n50435 87290\n71269 86832\n342 70060\n13228 91334\n42950 65376\n22455 84253\n59656 84012\n39163 62060\n884 50515\n10395 54782\n34390 84962\n16890 93060\n41487 86945\n59080 95097\n34592 90829\n55279 98042\n28495 49712\n38870 46622\n24346 57357\n1557 22281\n40882 86436\n82885 85124\n35770 56546\n84553 98793\n63721 87589\n45477 80684\n28864 30475\n57037 72703\n82708 98512\n34298 35081\n46574 60576\n46440 53301\n9904 82593\n33218 92911\n48887 83123\n4642 56668\n58069 95082\n7629 26677\n58684 75141\n2961 26923\n68380 98538\n67762 71361\n46894 55518\n52877 94384\n6771 75361\n3869 37784\n28206 44330\n4537 22224\n18514 24094\n30567 56167\n56761 97141\n42771 94202\n31352 88394\n43789 71521\n48757 99400\n77403 96160\n19334 95395\n31846 67321\n91780 99555\n5948 8435\n7032 89956\n54267 69383\n34068 54845\n1676 95803\n11884 36506\n50665 85880\n76373 96991\n25917 74049\n9142 25691\n29870 49853\n57470 72612\n20661 27727\n8882 99543\n11989 98167\n32498 54987\n23517 71997\n52137 94972\n5892 85513\n48957 81229\n68095 89637\n15137 65884\n35348 45966\n91326 95832\n44633 97886\n24451 66736\n62617 97427\n33950 39939\n46690 95408\n75028 97550\n27379 41457\n46931 91597\n29003 94037\n50449 99179\n36382 49237\n71682 94439\n7375 25555\n63115 74311\n50749 90133\n84624 97428\n45308 98199\n40877 56771\n4558 70920\n15494 45224\n49282 89106\n85546 91066\n45629 61842\n6421 67092\n16519 96549\n6448 17626\n26772 74453\n67791 95291\n60307 81048\n78825 94577\n37658 73442\n38218 96113\n4122 20332\n16977 77056\n37296 79914\n6960 68682\n51712 77333\n7054 77717\n20540 88893\n10227 71241\n21750 38959\n86681 90792\n69768 75557\n1130 87630\n11701 59493\n41499 82778\n399 1132\n46061 62729\n27909 75038\n33392 90118\n63847 89574\n46843 99331\n66926 92421\n40084 53435\n36736 76742\n5422 90073\n30537 43696\n38807 42561\n38537 62910\n20148 54936\n74599 91284\n45353 52899\n57109 63994\n31970 42767\n8137 20987\n54474 77628\n12287 68571\n42658 46282\n36986 74674\n5598 16069\n2375 41746\n97162 98420\n8557 55125\n24585 33517\n42791 66922\n14197 67458\n8466 75840\n964 53730\n77488 96236\n17278 78877\n25019 95529\n26219 53921\n17900 43493\n33933 98567\n27861 75244\n42370 72723\n10335 40230\n22198 74024\n2165 35112\n1498 10035\n3478 53430\n48707 72061\n62999 80534\n24275 70743\n9841 66490\n13708 29293\n18961 50923\n12656 89864\n3731 61804\n4676 41074\n38739 67996\n959 80725\n26103 83347\n57333 86049\n24586 28752\n35703 53748\n46553 67951\n13544 30698\n43687 64382\n54944 95152\n71658 81570\n24150 42615\n31973 45462\n20490 41338\n31481 43611\n51363 66304\n51178 60593\n70335 99414\n71477 72706\n42491 56091\n16496 22395\n3867 71239\n49666 56812\n4087 9803\n31950 65007\n60587 67456\n25371 88048\n47538 53171\n5583 32683\n7442 92842\n28141 31304\n39836 49570\n67918 87969\n86052 94274\n14434 54295\n24947 58333\n57820 85721\n42412 59822\n29996 95033\n52449 87576\n16026 86005\n48540 49879\n60801 88139\n42413 54551\n2368 79007\n38952 46669\n11419 52680\n17486 37928\n53714 56192\n1074 43284\n26147 56800\n12681 85426\n76601 99247\n61080 91312\n39419 78504\n5167 62764\n93634 96055\n16017 67280\n5398 18384\n17173 54803\n51434 79133\n23054 62478\n16677 56068\n32975 47617\n16022 85210\n38208 60973\n77826 83789\n44466 50620\n55601 80492\n16613 73780\n15345 51720\n40395 58638\n12910 50189\n27986 82111\n51944 89625\n4431 7997\n54986 73151\n4707 60194\n46446 77204\n45251 70431\n56891 96008\n8058 73048\n56015 86263\n68097 78538\n19090 99960\n34831 66481\n35685 48331\n48058 85588\n78479 92606\n40786 62941\n35759 37726\n61213 95428\n7037 53965\n61079 61182\n8527 75244\n32688 81854\n25747 87752\n64657 65138\n18291 76690\n47427 56591\n1853 38801\n19461 63783\n51935 79070\n44424 44888\n51455 61355\n8651 68720\n15505 83559\n39213 62887\n227 4210\n17778 89527\n16443 95434\n2698 58939\n18924 49886\n70701 85166\n33087 55902\n35275 80870\n13831 76982\n16984 41989\n344 88953\n52933 91755\n27885 48498\n25140 60001\n68185 72928\n18771 92417\n48087 57668\n44973 92028\n48919 83164\n45986 77659\n45024 53281\n35556 35631\n16116 45056\n14013 24106\n2412 24593\n53936 83828\n41205 84537\n80331 85834\n7265 81209\n29072 96497\n18887 81141\n7199 79007\n33386 43166\n23180 43649\n1107 46043\n27738 83871\n22622 82427\n1396 29574\n52049 74760\n34326 57652\n39493 88810\n67132 80660\n68938 98288\n44995 84110\n2942 82336\n34562 62723\n22475 50023\n50335 68124\n80796 93387\n1004 63218\n35249 52206\n38398 43592\n26322 34365\n42709 79432\n90939 95694\n23045 59686\n51242 87979\n3384 87009\n68200 80185\n72466 96604\n17952 45004\n24974 90607\n37569 87794\n11472 89497\n58753 99424\n58242 64781\n72355 89987\n61111 65838\n249 78442\n28570 67158\n28791 44594\n26707 95328\n58225 71490\n33918 82538\n3109 9674\n46695 94963\n2578 66127\n56209 83822\n19284 91388\n14637 54089\n86702 99655\n71052 87172\n40250 52597\n22526 60534\n33507 74953\n9248 84230\n19396 44195\n38516 80811\n14166 67398\n8829 18819\n42720 72569\n32966 36159\n44329 74779\n15008 53302\n36739 54875\n37113 91590\n37272 42927\n42104 91105\n51593 69634\n1086 35309\n74307 91937\n12856 58766\n30062 53412\n25142 77678\n49630 74994\n61206 93387\n46430 79989\n24884 67727\n13640 84276\n10973 32690\n17706 71546\n30299 57590\n47966 74453\n60539 65335\n39837 98061\n16643 98481\n31379 44541\n85335 99117\n4865 45574\n13348 23455\n23954 51983\n81170 99656\n43476 77166\n87371 88611\n66639 75873\n384 87090\n31501 50118\n22567 38796\n6017 44720\n46200 54405\n64538 99635\n31876 74026\n14591 55003\n22026 83422\n8442 41961\n64011 67201\n7814 78112\n1634 58749\n33659 34410\n10207 20314\n92687 97750\n19042 68425\n54390 63996\n73757 90312\n91035 99496\n21711 35195\n15306 85501\n46508 49800\n71902 96433\n23446 83207\n18036 86843\n62157 92380\n42277 78491\n17069 66239\n51993 86174\n20018 84464\n30295 47892\n42101 70303\n12405 18938\n1951 99300\n11942 97696\n226 51995\n29644 63729\n267 72902\n25166 61641\n16119 43314\n47615 63152\n33628 75954\n22633 58611\n29035 90182\n20696 99164\n39190 98121\n39225 95826\n63330 93777\n7879 32674\n73024 86716\n2529 92388\n30739 81768\n44573 50533\n91801 94773\n11047 33543\n26613 88719\n5358 5672\n36005 94737\n91060 99365\n77904 86965\n64858 99420\n67050 82618\n22172 98163\n43259 75621\n15507 39687\n66786 74003\n35286 72119\n43264 90189\n21423 45405\n364 58014\n30453 31986\n33687 37091\n31244 78988\n10678 85170\n31745 43277\n52609 78970\n67937 84572\n37825 87232\n38404 69602\n39031 92435\n27749 38985\n6011 96306\n24186 25051\n41777 47016\n5036 98525\n35415 81994\n78752 92426\n8391 37103\n58305 76911\n37834 64081\n11344 24610\n37042 81670\n18699 19014\n47660 94185\n63333 68725\n4026 14065\n86966 98380\n13062 17436\n16823 17591\n20271 87752\n48013 92877\n3482 23143\n9620 21699\n1554 20382\n15757 98266\n9841 72365\n17481 33042\n32519 55948\n41786 67705\n948 60578\n24254 47573\n21218 42944\n27908 63434\n31158 93461\n35367 50820\n69507 86096\n73000 94205\n87074 89863\n52325 99060\n11516 93912\n15196 17109\n80919 80921\n29455 99547\n96499 96780\n13609 30000\n19402 29784\n81436 96371\n94595 98557\n5483 98209\n31807 80950\n54540 71909\n30399 63208\n10950 70487\n3287 83441\n3670 55989\n44444 50832\n29436 46407\n46191 70370\n2527 5691\n5696 7028\n23370 68570\n1366 58754\n88277 89066\n68641 77891\n2145 65469\n1134 17766\n17404 47399\n27596 58626\n50244 67039\n52176 70578\n35444 63307\n2801 45736\n46548 72851\n12573 43029\n14748 35958\n3576 88179\n5878 81313\n31494 85511\n28318 75148\n22601 50400\n25409 53189\n25246 58177\n48230 62288\n92430 98074\n82930 95265\n37182 93257\n10333 65165\n37419 88608\n38541 99753\n33551 78140\n22937 37076\n12116 58571\n10094 40461\n8543 41629\n347 49185\n13411 66503\n21665 84913\n23581 73485\n26842 64104\n37130 92709\n57829 72182\n11960 46697\n15337 81925\n7215 74850\n27538 87578\n25304 90705\n12836 69151\n27550 86302\n38338 45240\n25511 55310\n43731 68452\n16454 87020\n52683 77491\n65564 91932\n43998 91403\n74744 94541\n14493 43169\n22926 63976\n13775 52082\n30347 83040\n27023 95726\n57888 85157\n69032 79634\n15437 27041\n143 39388\n16430 85635\n34395 43445\n28098 76982\n42025 56262\n20650 44024\n96595 99049\n6745 46322\n64548 65981\n163 3230\n42114 58921\n69610 90380\n36436 70038\n24792 65248\n10757 44275\n43334 54566\n5407 47186\n61184 70994\n12564 40826\n31257 60020\n7668 88373\n19471 66861\n1365 46759\n1816 18781\n5480 54220\n31593 43918\n33639 49598\n69576 77836\n32973 78256\n17467 18747\n28089 39376\n31050 67685\n36955 96093\n14215 68384\n38159 65348\n63060 90377\n24153 35335\n35696 52034\n48912 56565\n2901 34077\n9838 15358\n6285 24377\n11290 23827\n16497 57239\n45477 89747\n43595 55878\n52314 96871\n37999 70617\n7094 96108\n9276 28567\n9027 12240\n39336 90791\n15653 26901\n67761 99155\n25829 95470\n28482 73821\n3049 44283\n19395 66676\n69478 81206\n3903 92044\n8947 9158\n22525 32985\n11959 41650\n10853 91763\n4455 97103\n9048 81011\n426 79973\n41318 54432\n24625 40624\n54905 56309\n49405 72520\n680 58294\n50992 56640\n16929 93001\n15902 29930\n3826 91532\n15772 41524\n29316 66433\n39772 91464\n79459 99550\n17569 35407\n45834 87941\n24112 97040\n13292 21489\n28439 39050\n79731 93650\n8309 43925\n38204 70834\n54311 77056\n40244 74571\n75783 94421\n18554 87716\n40604 72528\n20 72522\n44341 91322\n18707 71744\n45282 86761\n24113 47059\n27378 48917\n28038 39210\n68403 79558\n75738 99247\n22096 76943\n7498 10168\n57736 88415\n40320 41538\n39150 85602\n29324 51625\n38983 59430\n50960 95675\n43687 91750\n27463 49657\n48793 77614\n33574 55379\n52970 70490\n41891 45182\n14975 38786\n44650 68559\n17795 20468\n15839 95577\n38335 58825\n68633 87953\n59770 63791\n33426 94323\n87701 99820\n50393 51962\n24841 64449\n32014 38715\n23678 95502\n15364 95242\n50674 72572\n33277 77061\n68954 86917\n89164 97139\n68026 85424\n28124 61789\n43225 50578\n5484 75905\n6185 11971\n68107 81084\n76427 80460\n9164 56724\n63870 97561\n52983 96556\n49176 96638\n41912 72324\n18206 76938\n71923 75343\n44635 54341\n61978 84945\n91088 93347\n49790 51954\n29378 67135\n77933 93285\n64739 83242\n14499 66989\n21593 29730\n5719 23439\n9452 92897\n21085 83807\n43265 86164\n16255 62901\n9567 74555\n29313 76493\n61828 98032\n17910 73691\n12820 43469\n31348 32108\n64726 87969\n21184 70631\n21091 95735\n6168 95658\n5857 57180\n16440 84231\n17091 71581\n22756 83202\n29474 34368\n21589 57579\n30907 54097\n73413 75604\n19946 41631\n73264 87727\n80883 83074\n39211 92251\n50906 56364\n40565 50141\n50353 57570\n5605 84048\n1569 42598\n5309 58730\n36199 46957\n70134 78695\n612 79908\n55232 59619\n71786 74495\n67229 74814\n25396 79294\n15241 27174\n7482 37943\n60594 64018\n35578 76147\n10179 40435\n21643 43079\n32211 79828\n76480 95617\n2911 88949\n32270 41510\n12832 38494\n19535 85189\n63667 75795\n56508 86945\n60913 65334\n1708 10009\n14070 35037\n26734 47155\n30324 79058\n27891 42456\n59695 83360\n61214 89735\n78996 90076\n52337 77477\n66146 99397\n24367 72166\n10181 73531\n23928 39400\n49956 65267\n12099 67092\n37602 44890\n43961 93735\n41326 45756\n18974 30798\n7066 67326\n77171 81966\n46577 59074\n28705 51829\n54536 77453\n19068 26317\n4930 27479\n13872 37940\n6721 93728\n3548 33074\n353 53913\n7146 15519\n11212 67243\n4583 54584\n10053 74098\n52524 90825\n27899 46489\n16775 33345\n23393 78414\n51242 58570\n16371 30115\n39135 45867\n71456 77314\n35925 40948\n15116 61698\n23164 48679\n47052 67602\n5540 76923\n6744 77000\n24198 37078\n7636 17755\n6281 17244\n43595 59766\n4661 83710\n72212 83675\n38884 44257\n21217 41730\n11975 99236\n37482 97066\n32650 58296\n24308 92181\n17512 58887\n49861 82519\n8831 15270\n38050 58481\n9147 13025\n14302 79818\n15728 31474\n21135 61762\n333 10896\n77548 78541\n66089 85594\n70421 95486\n80003 84315\n52850 59718\n31709 63079\n22810 54979\n23066 42625\n16164 47035\n2594 35473\n26815 53916\n16158 60106\n43826 75208\n39983 43615\n8122 94911\n14436 42477\n22423 41259\n35401 87962\n48731 49188\n28235 29036\n20154 29019\n36095 71015\n12223 93204\n11856 49627\n69479 75138\n15033 18585\n93201 93676\n53657 76480\n54894 81419\n30192 32323\n41733 69729\n50925 57839\n23957 97225\n11787 41121\n49496 56544\n72713 72847\n95079 99435\n20521 29996\n36157 55034\n1122 95417\n47143 67933\n22787 42254\n9671 86821\n38778 90814\n6838 53796\n7045 49200\n40216 47603\n45697 56586\n3441 65554\n19003 91529\n899 23419\n17453 51340\n84211 92334\n88350 97934\n59234 82154\n75008 86474\n86943 91366\n16807 55886\n39178 71292\n25127 51262\n5814 28905\n19389 76903\n59839 84479\n55189 74387\n68893 75425\n25489 39410\n6105 78094\n71416 99632\n10914 40824\n26212 37601\n46581 78353\n13443 26923\n88756 94119\n15258 84057\n65432 86733\n87575 99522\n12508 85467\n19404 82452\n3541 8811\n86639 95541\n41161 51498\n30172 58993\n49806 79647\n60322 69708\n50988 60107\n81431 87359\n47714 52824\n27486 43780\n34747 58413\n30507 67970\n11487 45089\n34757 64755\n9909 92917\n11991 75355\n13950 58301\n3065 98893\n6147 49011\n10726 58789\n4662 63596\n36597 79821\n24909 77498\n507 42633\n60432 67135\n53032 73869\n8315 29665\n9636 12313\n33606 64995\n11762 53055\n13246 25741\n21597 58505\n51002 85196\n29787 60976\n71447 90995\n5337 41590\n63276 87895\n53956 62719\n19811 91780\n85192 95888\n19340 48791\n35321 89743\n75795 98220\n1978 71854\n38234 42486\n25652 74752\n13006 59723\n6339 98738\n19046 75036\n36441 85657\n29163 33102\n21743 84119\n51165 51249\n22374 92215\n661 75813\n12153 41567\n7425 35301\n1263 1314\n13712 83662\n31909 80868\n57874 76822\n22274 91491\n39426 58006\n47876 83645\n66416 83701\n10649 13044\n14483 18245\n1429 40418\n63046 78689\n11588 12370\n1000 14967\n22077 94082\n4571 93270\n67664 91558\n55304 98595\n68111 88901\n14408 94644\n40210 55008\n14655 29173\n36767 37115\n80031 87997\n3854 91761\n22534 81837\n2042 98657\n37022 73489\n61474 82029\n2587 4860\n42120 63203\n877 16048\n21185 21771\n42770 60088\n34406 42381\n6984 8172\n18484 96499\n11007 65118\n28414 91828\n63686 83383\n19327 66882\n68218 69343\n76622 95416\n96554 98677\n55785 77599\n25333 56714\n46288 76940\n3058 55743\n1358 25050\n46333 53606\n27488 97173\n19345 59027\n657 9778\n86797 89746\n20916 86121\n63695 99204\n36217 91831\n42812 78125\n3777 95345\n8749 28187\n23502 92011\n25742 36604\n23749 83917\n13042 61754\n1453 17620\n10327 97926\n4411 65490\n35611 76641\n55208 74058\n33389 65177\n63842 66493\n6874 80755\n34434 66263\n69148 89688\n31194 94151\n12385 67802\n12120 55698\n6355 41045\n42926 83574\n68853 83869\n4252 89531\n83060 91961\n76432 87490\n2690 73269\n14149 66128\n84704 95299\n2646 94195\n24410 78677\n9019 65912\n20599 72548\n24961 87564\n37681 47225\n76364 94857\n11382 84045\n54648 73047\n29973 42405\n25637 39243\n73338 73605\n55353 93425\n81624 89295\n18934 26498\n9336 91656\n45822 86299\n68581 73028\n18172 74719\n15633 73435\n48097 65235\n4598 41744\n21353 68796\n27032 60916\n19027 79485\n13728 55681\n49855 60588\n31788 83193\n26843 37702\n32062 81084\n16540 79217\n39041 89431\n43374 80196\n39077 78430\n37159 90486\n33272 87819\n2912 36959\n53421 75099\n23452 27091\n83650 93276\n40250 44947\n13778 43446\n92050 96100\n76615 91870\n6804 56222\n32746 71520\n17860 41199\n22673 37497\n11785 75839\n81285 91286\n63083 80812\n14406 62853\n2691 17964\n53823 76263\n24070 88011\n8111 55972\n50177 75578\n2078 4296\n2041 48821\n66570 85546\n45376 98193\n5376 7497\n18497 44177\n50813 80034\n90542 92738\n47156 81625\n87664 92794\n87172 95743\n13907 42386\n7428 69883\n32667 34836\n21104 47935\n66417 79650\n29682 55597\n43492 48624\n16194 42865\n42875 74381\n55152 78951\n63971 98138\n14865 84014\n18944 63151\n49180 80412\n5179 82936\n65045 69493\n9994 77223\n36981 95114\n16591 59767\n3691 55915\n17432 25078\n16666 74472\n41144 75554\n17929 25579\n16754 68874\n18076 32855\n43493 85566\n3934 94712\n53612 63300\n10450 21151\n39366 58077\n64662 70313\n7793 44550\n30695 50956\n55166 56698\n64503 93762\n3129 8430\n29469 39247\n54349 82420\n13809 55987\n56152 59343\n83357 89153\n19989 88925\n1055 76692\n4226 30239\n56111 74364\n22233 99295\n26164 90964\n21668 79211\n2247 23142\n53626 82326\n33025 67371\n3160 15873\n21755 41750\n62128 71051\n6053 98242\n15417 65674\n77002 77414\n23210 46134\n45702 57331\n12652 73961\n14831 48142\n7029 89416\n29198 86530\n21107 30754\n51365 54075\n7227 69311\n55760 60868\n14547 92695\n3920 93643\n50089 98422\n48113 94373\n54448 78165\n27907 78738\n18922 28428\n2548 78411\n35719 71323\n25627 85118\n7370 63959\n33210 83191\n62969 68037\n80472 85820\n40753 83607\n17508 18652\n28142 57650\n39533 46722\n950 41037\n15885 26143\n71389 84171\n73601 85521\n18571 20129\n48420 52392\n28518 91473\n74708 87782\n30065 33376\n44767 62951\n23648 95414\n56774 61106\n21730 75042\n1932 47202\n8522 44920\n26375 88926\n52472 83517\n22979 63025\n5784 73173\n4587 50999\n7670 64486\n27881 35504\n61484 84420\n16851 29377\n7854 81082\n49571 74249\n5550 38114\n15683 37924\n35554 79777\n5629 30014\n62523 76677\n52511 99375\n16032 39657\n74874 96468\n30781 62894\n9974 78364\n31223 39390\n17111 24482\n15954 45840\n60114 66008\n409 15126\n25447 60361\n66892 76533\n3158 53755\n55061 69339\n22253 64343\n7562 31485\n72520 94839\n41618 71711\n144 82290\n41961 99282\n2527 5242\n21154 63906\n43592 56446\n60533 91879\n82491 94336\n22864 33782\n69553 76234\n6744 6977\n20102 32141\n46042 49961\n31096 53979\n42722 61031\n22112 23561\n53852 82384\n20645 87711\n41403 73554\n51235 56753\n32001 96356\n7499 58683\n30518 89101\n70997 97076\n28037 46212\n69104 95787\n75440 77845\n33915 53154\n110 85918\n87571 97852\n19732 45479\n73798 96306\n41567 44606\n1275 47810\n75282 86743\n55243 84331\n58263 85782\n12088 19924\n5621 50549\n41443 57948\n60811 62705\n3797 55472\n29112 30743\n3168 82714\n64277 76546\n11355 99117\n66743 77891\n72741 93985\n4939 88623\n8495 86229\n61725 71093\n20205 78780\n19540 98539\n77258 88745\n17069 46402\n44938 79542\n22653 62284\n13133 75976\n15297 21431\n7963 56119\n9144 50557\n60538 88829\n20691 40374\n32428 62922\n12537 30502\n37909 87933\n3779 31647\n44628 74611\n2768 64204\n43702 74701\n11452 74729\n44729 95733\n22119 92895\n77278 87179\n40383 71528\n21938 40982\n20770 33234\n23385 26230\n42784 79486\n46956 86565\n44473 60327\n18520 58033\n69907 71109\n11633 84893\n36989 83362\n64473 88766\n36543 43371\n43274 70774\n478 92931\n375 96550\n10951 84267\n18812 69638\n3126 76522\n92503 97327\n60773 60888\n45819 88400\n28209 36690\n23819 89972\n4740 14173\n62627 95444\n4283 77640\n4717 94753\n38322 44304\n50491 54780\n33961 94963\n36815 80344\n11706 35047\n37644 87974\n95 36102\n2728 11399\n16292 67920\n75665 92916\n38539 50563\n551 58070\n11479 24611\n378 90161\n78303 83694\n51193 63002\n42380 75040\n34409 48219\n27041 29628\n82389 92160\n41650 60562\n10877 45011\n5519 94782\n66396 86944\n95475 97921\n16794 29295\n49662 64859\n35072 52726\n6170 31635\n29274 66205\n59132 79590\n76286 91637\n63783 86018\n13001 53257\n56170 99951\n23159 26514\n4195 36535\n36451 51413\n1084 85708\n31459 51869\n3912 27760\n19150 49124\n15767 44754\n52566 78386\n63356 90704\n14560 50029\n67477 83886\n15365 64678\n42173 65452\n54509 55763\n17261 61462\n41822 52670\n15167 79341\n39697 77737\n38216 84776\n52208 97546\n52520 71994\n79029 81293\n19950 74744\n28984 32531\n80417 97796\n40786 92639\n2860 21342\n35750 53266\n69710 79657\n9872 97792\n8438 52375\n11711 25397\n15078 26686\n33132 70033\n476 31136\n10473 32216\n32052 55625\n21996 31174\n20483 74479\n37928 52930\n13928 68123\n22202 67661\n9916 59314\n2139 57873\n37723 57229\n57334 96984\n24173 30522\n1135 50975\n2083 99223\n32097 54617\n37570 84390\n3222 97745\n23082 48243\n31372 52435\n19897 43229\n35182 47438\n79710 91158\n871 83949\n3233 26216\n30860 94998\n4891 77647\n26820 35857\n10748 47735\n49841 67149\n86314 92576\n21151 87499\n20920 39568\n66819 67852\n54017 57299\n11818 90532\n78836 95272\n21180 93178\n1206 79706\n46515 59153\n23199 40301\n53418 94728\n29515 63606\n14497 94777\n21374 96156\n45021 82758\n55287 88227\n65076 76812\n21587 41292\n7727 50657\n13283 34702\n10172 15159\n7060 88132\n43603 66715\n74379 76445\n32347 45974\n28860 40490\n36918 94853\n80520 98213\n10322 66131\n75093 81281\n18955 99026\n20642 63407\n57335 74124\n5038 99728\n71090 97366\n4281 97607\n13279 35278\n13191 23238\n5549 31001\n39599 82333\n34535 91657\n23282 61228\n26944 88883\n3023 56835\n65600 82620\n22311 96276\n23181 32847\n67425 86967\n26784 36727\n43976 53003\n21169 27028\n32573 95676\n659 87342\n13964 72886\n61725 96258\n19299 95292\n31761 68206\n649 15979\n56644 64308\n21070 63993\n60587 63393\n2113 37604\n48278 51936\n4712 27735\n86840 96671\n3250 81045\n51785 85334\n11588 31185\n4604 44889\n3175 35143\n78986 97692\n42858 43363\n40566 74446\n14802 61244\n59286 76466\n10057 53916\n44669 84669\n11418 18668\n26573 31858\n4000 92044\n17625 65376\n11405 23333\n4737 86085\n48484 99866\n14011 19621\n53999 98875\n57697 82786\n31965 58315\n3436 78091\n36325 54282\n40884 60627\n335 50071\n76770 92797\n16454 96677\n14310 75767\n84910 98114\n32921 62880\n11284 38902\n21525 40551\n30225 60762\n92856 94725\n5374 86802\n62633 65023\n69077 79976\n51282 97020\n41145 78842\n55801 96226\n73926 96799\n2722 69085\n9529 46171\n26679 30505\n34800 43438\n85437 98463\n28326 31084\n62731 66000\n6388 70762\n22460 87484\n17813 45064\n63419 80300\n52282 60717\n22115 26544\n36657 73043\n1475 9013\n90962 95086\n68296 96895\n6640 21115\n74740 95074\n11174 44325\n3347 54230\n83462 94185\n20236 27380\n4176 53126\n25981 41672\n43839 82824\n61388 98582\n19392 66104\n21228 83715\n47853 80941\n3072 96482\n50628 61346\n15981 33312\n41760 82168\n93146 96132\n41478 58756\n86853 97547\n28472 55171\n1960 64809\n72459 89868\n43427 63760\n38288 42466\n42350 89442\n21925 92546\n13513 17382\n63157 83784\n16317 55812\n53688 87014\n72567 86686\n13776 39534\n13154 82834\n63629 85227\n6698 60967\n78950 81197\n60131 94168\n7381 60442\n6796 12608\n8439 37290\n12212 17511\n18604 29607\n19988 78238\n60788 97309\n44698 46315\n3526 5171\n46368 84693\n77274 82644\n23636 59057\n37345 47419\n13522 22660\n10923 63727\n42140 44437\n14454 70059\n32345 96810\n1193 36487\n65470 72313\n12176 59381\n16545 27761\n79666 99050\n11551 32488\n28072 68677\n45656 97127\n11589 27169\n76352 82537\n7722 97847\n63669 79827\n66521 91302\n2745 7325\n43360 68474\n40368 50445\n66807 86782\n47343 88986\n16191 34435\n45459 61852\n41370 68765\n92725 93477\n6078 24436\n77885 92539\n7783 69655\n25092 86762\n23248 49018\n71262 79450\n38790 96934\n63753 73340\n31606 42675\n53256 79945\n69225 89662\n28167 63497\n54915 65310\n9766 15592\n8729 88420\n17996 74673\n30404 50471\n49980 64974\n22439 52321\n37399 53637\n60147 70600\n14213 45995\n31171 94598\n31509 64220\n36756 42539\n26972 40322\n76417 95010\n48445 88007\n22852 25529\n49051 69098\n4265 52813\n23589 34447\n12156 69372\n78012 80727\n1363 27632\n73700 75776\n9824 67959\n39666 48851\n11600 26358\n29331 48322\n31332 59664\n81987 96735\n51536 63168\n5398 33524\n67985 69099\n61711 87079\n13808 17629\n32110 67990\n9198 65315\n51332 65904\n13510 46042\n57501 65334\n1500 45935\n51919 89067\n49722 68719\n20124 27745\n17925 98726\n64827 85539\n42163 61809\n20928 55086\n322 69380\n29804 72604\n49003 98828\n2200 57559\n27852 90421\n78716 95104\n46575 55073\n4201 93942\n5533 63497\n30849 84163\n36162 36659\n25009 49401\n21896 63711\n2501 93300\n55245 65493\n722 5142\n48192 56535\n17137 58763\n40964 41839\n1940 51923\n27065 69746\n49675 78475\n36882 61766\n11829 40009\n6068 78039\n41443 68559\n352 14412\n61090 72163\n16475 88467\n27070 30436\n3861 61913\n19105 36322\n36039 93119\n19484 32874\n50906 84414\n14240 73228\n38698 79004\n20291 98916\n50530 76388\n34251 47696\n40188 46919\n73023 73665\n50601 66255\n17455 23028\n38280 59791\n8602 71496\n45165 49101\n9512 92777\n47804 91505\n9407 27118\n66315 85424\n61518 95406\n18905 74862\n12106 91544\n84383 86987\n33600 78948\n10937 64057\n35275 37458\n43202 55916\n51180 70683\n911 35171\n67709 83598\n4039 43520\n32224 38371\n46613 65230\n4119 95275\n26783 99803\n33690 37572\n4293 11935\n19617 24280\n78079 94743\n34598 35601\n87139 88378\n33309 59771\n43959 44184\n18606 80362\n2715 71228\n24178 39861\n19094 97595\n59629 94342\n43457 44075\n39270 44959\n30441 88599\n68141 88273\n15626 89815\n59398 82953\n19530 50353\n16094 56823\n30447 38208\n40449 64326\n33607 82435\n10114 77476\n26522 80443\n49593 93669\n59249 81555\n20383 94488\n11721 92997\n44604 80576\n22274 33208\n41003 67364\n41910 48717\n26949 82453\n2339 51608\n49847 93087\n17326 19048\n36316 99141\n34905 69690\n21197 62253\n17682 18615\n2736 11473\n52943 74748\n7942 76798\n70276 99003\n75257 89678\n43890 89818\n2510 75655\n3025 72653\n6536 59503\n23523 45633\n6607 32488\n15655 71270\n3820 99385\n30889 38868\n17896 99378\n11502 18482\n69754 76300\n17490 53236\n34880 68417\n48300 67566\n47731 86343\n32919 51462\n40989 48789\n86 29188\n86491 88263\n3787 40527\n31356 37471\n37903 87364\n62249 73579\n39376 65754\n51788 64528\n39006 68872\n6174 62475\n69527 71850\n57354 86660\n37766 63150\n30174 70606\n9054 88594\n45627 70802\n14877 98502\n24889 61152\n18627 21202\n27145 51141\n13355 27698\n22049 98448\n46316 75209\n68561 89843\n30284 77987\n51249 73898\n41973 89411\n22382 76060\n41019 60123\n31940 79894\n50611 58427\n11703 61331\n18493 29414\n42510 90202\n6075 46374\n65259 81018\n35975 90025\n50527 68037\n24761 40004\n15359 23003\n56067 65763\n79260 90968\n238 34817\n18907 83163\n34977 77458\n13357 79944\n36841 60531\n21228 87019\n7482 87652\n6280 25996\n31351 61754\n54621 67093\n63842 82655\n45364 97591\n23468 68333\n18546 96130\n49496 90615\n38341 47941\n51269 53788\n30724 46913\n40687 59009\n65845 87180\n26750 28043\n6409 30413\n41827 86099\n13248 99843\n3448 53631\n63837 93199\n31100 90867\n4413 22457\n29620 95309\n15851 57434\n52084 90976\n30788 97576\n22707 99455\n54541 82943\n23143 26140\n65971 79608\n5258 12972\n61950 72938\n34659 66790\n4182 63338\n17141 93521\n11926 32522\n22413 86858\n10383 48851\n20331 69228\n78461 79836\n28130 64063\n22742 32168\n2532 74051\n64643 95593\n27445 99639\n2904 41386\n14721 80659\n52833 81031\n14456 31639\n75746 95910\n48913 81614\n22383 49625\n54028 76621\n33304 69534\n76467 93190\n9541 43058\n14689 41464\n24067 36785\n5768 48028\n31791 57705\n30130 62485\n47696 62590\n14758 80300\n4161 46311\n8666 75823\n33442 98412\n6908 81698\n33937 47748\n18728 79287\n14512 53678\n7158 76265\n42089 55156\n60843 81971\n17221 73777\n12221 31245\n36722 77461\n10383 79836\n9751 67557\n44878 48650\n63434 97683\n4486 70768\n30281 45264\n56185 69142\n49079 63982\n16413 50356\n25902 95897\n6785 76198\n55390 74245\n7534 76984\n10214 59322\n87933 89948\n5479 71436\n23957 35077\n21720 25738\n12282 59384\n12734 46890\n45252 50836\n17362 31727\n59671 79399\n12651 65710\n5538 82345\n8564 64825\n45517 88606\n78215 88480\n20702 75271\n39855 59804\n19036 22295\n59790 88302\n12606 53442\n41267 59683\n77733 83251\n5126 79769\n1086 43600\n85211 95587\n59309 76484\n33948 45137\n13614 29010\n38531 39320\n17169 41275\n19778 95460\n13664 69036\n18404 90867\n42456 53359\n56547 61666\n8396 58616\n19779 80954\n37873 79068\n30144 89340\n4131 47131\n21318 41392\n19561 41979\n4647 98162\n6947 82921\n7394 60700\n26622 30678\n60909 81984\n1066 95515\n44993 71722\n72877 80669\n1479 29696\n40730 64283\n38944 57390\n18207 58130\n65683 95378\n2919 88647\n56878 91400\n10409 28555\n5910 75150\n25494 32792\n44517 46981\n16282 89650\n16557 24752\n75797 91715\n7249 35340\n65615 88832\n53074 60795\n67684 96074\n79590 92807\n29082 92750\n82024 90343\n58963 82603\n95492 98999\n9357 55381\n10175 55534\n16322 33920\n22136 31842\n57604 70931\n6242 84531\n34152 71405\n2277 93825\n18811 53045\n71137 77574\n2883 51655\n2375 99444\n66419 67331\n11989 16565\n29746 49187\n8306 31065\n8441 59467\n2105 72494\n20756 38817\n5210 77817\n43670 47876\n23663 78169\n77111 80320\n915 3507\n38416 72160\n24912 72463\n11874 53534\n43851 53315\n36387 70827\n22981 50940\n15264 18916\n86903 92613\n40462 88043\n56852 70274\n2324 55730\n86052 87899\n16300 71327\n13480 72856\n31684 97916\n13183 34870\n35043 36168\n19313 60954\n11497 61026\n44290 69914\n14939 76458\n31679 92138\n33107 92733\n2207 30520\n9362 23333\n35519 84257\n32233 83467\n22725 61979\n24300 61890\n57082 76875\n31515 63635\n7644 49079\n14183 88436\n18322 94037\n64593 66305\n53518 90140\n62283 85904\n13560 63861\n18815 43395\n66394 68817\n26002 35210\n71978 79606\n23996 91129\n9622 71239\n37875 85142\n28080 48071\n22040 87660\n40120 75783\n2848 48539\n24433 60200\n50139 99515\n32173 45819\n52914 99792\n64992 77469\n4954 5472\n27217 61230\n13695 53706\n21999 26212\n27073 63158\n3974 20206\n109 9984\n36395 60855\n52218 93245\n42985 83411\n46399 86296\n1050 90227\n1071 34597\n71731 91312\n72116 87393\n30050 47232\n26208 38230\n77930 90321\n9106 72174\n4769 75940\n42362 54498\n60385 99006\n35308 97984\n14527 47606\n48262 54264\n26652 53213\n13167 45611\n52483 77790\n36563 39382\n75093 76358\n50500 85888\n65362 66158\n12909 22250\n46956 81777\n69736 81633\n19579 84068\n5355 21260\n71555 89501\n38819 94704\n46749 90180\n47945 68920\n5674 33543\n16003 93775\n14110 34861\n5858 70989\n9813 97250\n10689 89051\n23661 64438\n69630 89501\n80088 93656\n30318 85828\n56937 60776\n61657 61677\n60277 90712\n8313 61015\n28222 39210\n21848 76522\n5355 60049\n38337 80621\n24633 80718\n44815 75292\n32514 70192\n55768 96855\n47423 73469\n18407 94514\n18332 86163\n11227 53001\n10817 59655\n59631 59927\n17849 64631\n66101 98722\n55788 92907\n43916 66545\n59803 64678\n88360 99209\n41717 73821\n44961 89268\n72924 85043\n20893 57395\n11235 42613\n58576 90213\n3657 36523\n26740 82431\n9271 11963\n17017 64425\n10647 48747\n65933 99311\n85287 87790\n42916 99816\n21025 96396\n59050 79064\n73025 81600\n4406 19674\n23430 34001\n13070 60479\n82578 86644\n19308 53895\n36073 51871\n4928 66038\n44733 70912\n1156 55000\n10870 29760\n24698 53730\n5191 17032\n10633 34771\n1738 59913\n82001 91301\n2813 45858\n17056 69299\n46691 69412\n53615 91977\n28534 53702\n36179 41979\n9747 53767\n38601 93857\n40103 54081\n83343 88898\n1093 50864\n43333 56498\n62351 62612\n32272 72349\n8486 37885\n19593 68760\n53562 75624\n3865 65894\n69739 71246\n67947 76721\n31351 95937\n4823 75661\n25463 33756\n74735 77116\n16263 60997\n64194 68481\n30799 44681\n21840 72980\n18335 95877\n79218 91854\n37076 92307\n16892 41836\n81937 88857\n35961 40722\n38150 49885\n75531 87588\n29157 80973\n2293 78000\n41953 62348\n74830 82561\n34809 35522\n48859 54691\n18539 25663\n41131 59781\n40688 98519\n7511 73412\n36591 39925\n46524 78387\n3440 88275\n16327 29343\n53676 74995\n6148 29662\n10667 84898\n22989 87480\n66851 98577\n94990 99620\n58902 80596\n3846 88379\n75888 77834\n7946 58032\n49298 54402\n70766 83730\n24780 94166\n2882 88102\n42840 75169\n17980 78547\n53793 70603\n4232 72032\n35953 39979\n29370 63456\n5527 20592\n63121 67849\n5881 24637\n18899 85636\n63320 64240\n28731 86381\n61289 74001\n39545 63860\n47551 68529\n32859 42915\n63769 66258\n38012 53160\n24312 90767\n4322 94825\n75035 98712\n34824 42324\n33283 64367\n67816 91090\n52238 94618\n51737 74924\n93465 95463\n3142 22239\n30757 87051\n47348 94412\n28251 33641\n24165 63607\n48235 62128\n4819 89364\n11598 74125\n73861 97537\n73889 90278\n21466 39476\n71026 74689\n29187 56155\n51348 73680\n21566 80088\n57262 75207\n25277 25399\n49017 90171\n38892 49661\n29407 87178\n16019 40930\n27741 99469\n1073 2283\n88093 90537\n32551 93462\n12546 58008\n89656 98472\n18738 65627\n45349 87693\n42985 46194\n53759 60537\n53032 58910\n5108 55984\n21975 36671\n59942 82004\n25943 43866\n14720 43355\n34217 63234\n26473 36081\n11567 27703\n61740 88328\n35830 89796\n16977 34737\n16717 97362\n442 83978\n7160 44599\n65508 94274\n21867 72361\n32674 80414\n38807 49954\n62471 73149\n8924 81311\n55738 96869\n21753 47343\n45171 87911\n48960 59654\n9973 54993\n24489 24529\n93275 97356\n22132 43106\n59911 91905\n13134 88571\n69094 92632\n32061 85961\n20935 75736\n64558 99266\n56417 72585\n36264 58251\n74541 89326\n63843 91513\n56719 93582\n57647 95988\n2621 57419\n665 14624\n9142 73618\n1344 11962\n21678 94886\n2682 12549\n6931 90825\n92302 99451\n70803 99589\n1641 97892\n69594 81065\n38913 68504\n59843 83422\n2570 22682\n28107 66669\n13270 44672\n59619 91276\n38384 46992\n66266 67032\n6480 14098\n53958 77426\n42976 99199\n10691 76660\n11335 86538\n60909 93871\n8757 46454\n24520 74472\n9709 82631\n3877 65539\n15542 75913\n1969 58446\n76823 98138\n21419 60870\n52225 76339\n20394 39168\n1159 34057\n176 12869\n43919 98316\n10647 28678\n57218 63401\n4950 30745\n88089 96211\n4770 81306\n61689 87745\n12853 25993\n42219 53372\n67363 87606\n6541 94688\n62908 79866\n32186 97915\n39732 75424\n85607 87915\n16817 96956\n66547 95450\n45647 53926\n21755 83712\n31716 34095\n21108 98272\n86164 97450\n64606 69403\n24900 60406\n91600 98630\n61901 95390\n34806 97457\n28451 68717\n38424 78633\n60990 64988\n29920 48615\n53601 73229\n5401 89698\n18742 36422\n17695 81385\n29206 72365\n34112 62918\n7480 75672\n55783 64256\n65723 82441\n11543 93625\n51103 88153\n31147 46929\n34952 60254\n28248 48509\n48981 54767\n5020 74609\n8577 84831\n35854 92470\n24967 58143\n28995 38077\n877 34090\n39444 78558\n6417 45095\n53370 73331\n9733 32302\n6855 21603\n57954 68958\n4050 28194\n41568 48044\n4457 21061\n17137 24175\n57237 87362\n36864 47793\n32645 43332\n66565 86842\n5021 79799\n39771 79376\n42891 88816\n29115 31313\n22110 77257\n37884 38497\n47576 53866\n4029 42846\n33015 34332\n48812 97085\n36101 95743\n12836 90389\n43356 63152\n72916 74457\n24716 37687\n44484 67954\n49911 65023\n2317 80769\n58236 70988\n13431 58808\n16047 80410\n20965 97438\n1679 76548\n14074 65361\n72513 75223\n70454 95617\n1429 80849\n12114 52547\n9817 15287\n69766 72273\n5501 66875\n11977 43572\n5691 41854\n64306 84634\n890 98952\n63014 67273\n16360 27741\n6430 47528\n6582 52484\n35638 54867\n37675 80361\n22018 27814\n13781 81900\n71421 85716\n57866 97913\n35093 61420\n15356 24220\n40227 85969\n47664 63442\n12241 69920\n42518 98155\n15534 55893\n59102 62740\n9818 83728\n19735 29366\n28322 82971\n17124 40913\n13581 34693\n39955 45371\n86419 92466\n21960 99698\n4558 95505\n15700 78360\n11520 51429\n21023 69830\n53012 74279\n4215 91995\n8293 45027\n21889 37894\n29159 70400\n37014 62985\n44166 64983\n18870 45618\n78544 88348\n43133 54555\n26481 30057\n44062 80020\n46986 74480\n79908 89924\n17675 93263\n9155 75926\n9174 91997\n4894 8280\n2850 55769\n28164 35421\n9802 73911\n44524 59847\n38362 72433\n4609 63154\n10231 81740\n37858 76265\n23738 92146\n18119 95470\n25082 33190\n51093 66338\n1665 85997\n34577 88385\n56766 82683\n3700 8082\n49459 90735\n66235 66995\n15734 26700\n3999 60548\n38853 50082\n27423 83208\n5325 56421\n42179 79373\n33809 46672\n4783 53255\n45104 53820\n18104 48649\n64460 73545\n21108 48650\n80056 88479\n7102 88032\n7074 35063\n42090 92281\n11249 20577\n9007 70800\n89595 91529\n8405 34181\n33515 60951\n24241 35885\n71950 92415\n28094 71484\n52301 67518\n51586 90234\n6045 24826\n1672 8115\n16769 85597\n67176 81585\n29598 89982\n35837 74829\n57195 85717\n38263 83823\n26873 66147\n60173 81778\n28419 35353\n68075 88777\n8771 44612\n14419 62731\n11005 39464\n2995 17826\n54307 67907\n6177 65720\n69019 96854\n33 45375\n13469 84477\n34713 43069\n23059 31594\n31043 53998\n2259 67899\n69458 87907\n58037 83869\n37842 90679\n26238 85573\n53504 89487\n37999 69891\n12496 40164\n82013 90284\n16072 61843\n11412 31188\n41804 86919\n21791 26515\n8295 24639\n52018 75187\n88876 95760\n53631 60493\n63212 94962\n21437 66025\n64806 84679\n5559 40266\n5760 85582\n22176 30476\n63602 85816\n22382 25564\n20085 70604\n72202 89754\n28879 75641\n49560 64373\n42297 76164\n24266 50615\n54512 68211\n56649 79866\n34824 37556\n21801 49303\n44619 66578\n39239 46713\n1143 95232\n22656 65832\n22640 65024\n61576 80127\n70359 90534\n64454 97360\n28082 69663\n48055 52497\n72807 95589\n84909 91247\n70809 86335\n23375 28087\n67386 89015\n21706 56738\n64408 79153\n42766 52807\n46136 89587\n67706 80053\n43582 74604\n18636 58423\n15786 25615\n47307 98354\n2089 54521\n83345 96884\n18110 73842\n18505 68473\n18757 51431\n47948 66878\n49385 63664\n47434 92853\n133 67740\n16928 23632\n4501 31214\n16202 86624\n17786 79367\n31138 69951\n49646 91971\n11702 65239\n12194 52383\n52750 66403\n36916 80881\n54075 62821\n17469 18943\n8280 52784\n9990 71858\n75185 84015\n9266 50454\n3946 65568\n59321 65769\n44157 73463\n34485 72163\n6246 54762\n30162 85517\n4561 9928\n65218 82590\n44634 70215\n15811 18894\n7146 82995\n4537 12526\n45564 96206\n5548 99832\n92817 99787\n12289 91027\n43731 51318\n412 44147\n13294 55222\n16501 54153\n57623 63506\n70215 94282\n27913 62689\n88291 88813\n47481 90333\n14237 26150\n79162 94046\n53306 77997\n14547 40934\n770 9762\n51302 73696\n15756 86419\n808 57457\n7206 92969\n8773 84638\n72684 88950\n27422 53292\n4189 96967\n10835 96406\n76682 92122\n20798 54116\n22290 57684\n86730 88303\n14378 19261\n54924 86689\n12862 98197\n4430 27675\n11955 35276\n75625 97339\n5240 61949\n10791 49011\n22634 28701\n4683 39394\n50518 78841\n85177 99193\n61311 83502\n1439 39410\n23962 84553\n71621 78106\n55325 76370\n22731 79648\n4821 15493\n22441 60622\n16727 42548\n74433 85770\n10991 86657\n10945 87133\n371 95487\n53743 88157\n7726 16497\n31493 34601\n25243 50204\n21449 80136\n56174 81285\n13475 50086\n22484 49308\n31738 83536\n23493 31961\n8026 29530\n45795 59379\n19890 95322\n36469 89742\n2857 45365\n8482 59146\n12171 88591\n6742 86378\n27547 84464\n25640 72166\n18907 99879\n31013 83943\n46186 63574\n27018 74042\n11298 56149\n10490 36766\n12466 35145\n14006 68702\n22550 35195\n79005 85531\n16385 28537\n3317 40820\n49723 77588\n43445 79417\n7951 8590\n6997 43900\n24149 29712\n46680 76850\n8113 58697\n80778 97839\n2640 52192\n1247 6334\n7314 10203\n1619 24937\n3498 61680\n25514 31713\n33642 78588\n45196 68038\n6612 10553\n34672 54114\n5598 60722\n18077 98380\n25643 92732\n30404 81943\n18776 51124\n73888 75394\n61865 94085\n24828 82748\n89079 92247\n1962 77846\n25436 47953\n36822 93768\n52066 63816\n23326 49828\n85024 98116\n76305 94205\n1405 28944\n7196 35873\n16999 52629\n92620 93410\n48685 89673\n9622 80773\n50471 55303\n34426 70390\n38448 51134\n6011 12597\n71988 76025\n37293 93406\n77933 94852\n43556 84783\n44761 52248\n64575 92025\n50463 97884\n9465 65396\n23450 81608\n19879 43180\n53579 75651\n35606 70950\n50067 86015\n9527 89161\n412 79168\n20701 64610\n45755 87267\n6404 54556\n22645 34755\n41328 51755\n59307 63706\n17850 73059\n7242 53262\n1497 89620\n5493 89346\n261 95301\n49658 81744\n884 5645\n42316 74426\n74902 85710\n8991 32698\n51910 60354\n68119 97344\n31374 48091\n55604 77424\n72032 89734\n11603 63265\n42960 99318\n17103 91866\n10799 49672\n34773 37148\n14623 71743\n7774 70565\n44559 60622\n77863 83731\n19709 42287\n9880 13017\n57299 69505\n55439 69602\n2372 13711\n19291 47492\n52607 53406\n9104 21554\n38095 58588\n30599 75116\n18958 62219\n22175 56130\n18281 29008\n575 10089\n26525 62494\n15512 21527\n31244 81785\n31587 81407\n9439 27087\n11494 13826\n26783 79371\n18653 86709\n69347 83151\n68991 84673\n54191 84553\n21169 88765\n18266 34847\n40539 93536\n2966 4171\n90042 98946\n16462 16727\n75846 76612\n42511 92426\n11129 46038\n43795 95724\n20992 96076\n46075 60963\n18385 23823\n85264 97992\n36406 60006\n26723 36913\n8319 24110\n44331 71787\n79239 85215\n33832 66732\n73877 96253\n13635 36653\n63002 97977\n27929 94395\n3048 18151\n17300 17544\n25439 31146\n3490 43980\n30620 37382\n17087 60858\n65725 88837\n41576 50519\n50282 99063\n49043 77420\n3422 97517\n15206 96124\n9391 83450\n6810 90097\n1394 37085\n13499 49999\n4911 77034\n4958 15321\n56258 64261\n53020 86739\n5400 72242\n1149 35192\n31853 33845\n30137 82702\n58230 91954\n47087 91234\n16366 69373\n52098 68214\n68973 98372\n59026 65639\n11688 85022\n14502 52474\n62975 90865\n1491 47255\n56783 64692\n85367 93455\n53670 74959\n21328 92045\n2195 42043\n4850 89874\n66163 95548\n23059 53173\n38612 86655\n30566 98110\n54264 58340\n2807 58028\n53119 75913\n68777 99984\n15573 57153\n1237 94124\n74801 92866\n11725 95133\n3891 32814\n60336 70562\n38944 60720\n52295 99353\n52476 97185\n70388 86212\n24707 64849\n51073 80025\n8452 25437\n21369 60980\n34585 93947\n10594 43969\n32729 97596\n3020 85211\n45645 91266\n15559 83438\n54237 80824\n7755 97714\n60875 73811\n25028 29457\n41446 73803\n1436 8748\n14809 83326\n41654 82805\n14397 46703\n56663 72487\n33398 70966\n50679 97294\n72497 91089\n6354 19185\n69651 79069\n24858 91447\n11700 31065\n60672 84167\n56845 90675\n11956 92492\n35045 95179\n26477 88089\n44986 50984\n7632 84856\n9282 45720\n23331 88244\n25340 27112\n39677 60162\n6863 74456\n8171 46251\n25139 97190\n40069 60799\n75895 88384\n54947 89253\n16365 67661\n18079 44487\n74699 75905\n35033 46128\n24787 97395\n40199 78199\n8177 89444\n38382 75154\n25634 30954\n16231 52867\n45356 66049\n29789 34932\n8262 82664\n22843 39924\n6714 34146\n22546 57674\n11500 90269\n1401 62346\n16141 84452\n24483 87975\n40138 51815\n30566 52332\n86208 96507\n6129 70595\n62980 75511\n9616 15581\n43291 88228\n2463 76057\n21420 65801\n6921 65535\n2008 31427\n15217 63769\n24016 39752\n39512 79714\n34632 62320\n36444 89718\n1305 9237\n58375 91967\n15835 54871\n51712 65026\n39345 68805\n8981 41990\n77878 91570\n14586 26438\n7411 89875\n29143 48016\n5501 69259\n40810 76622\n30754 96168\n6574 42899\n34503 83483\n57368 97752\n10608 76799\n29641 90197\n18079 95165\n23717 42004\n23573 32863\n62625 68777\n65124 71042\n55028 97286\n6945 21357\n33102 37460\n18700 68688\n35995 68274\n36685 98447\n226 96072\n17857 35132\n41176 57059\n25711 98582\n9290 15305\n22132 92744\n4590 83808\n8936 19001\n46947 96533\n67583 85885\n52149 99044\n50881 77871\n70626 77991\n45693 66525\n57499 85915\n56642 90518\n36425 92893\n28615 67207\n77158 93552\n6857 62509\n15734 96264\n90872 91512\n80036 80209\n4054 55484\n5483 46174\n37230 42310\n10856 33221\n3928 98374\n33196 63940\n16269 57833\n42516 96319\n52763 58912\n22928 76640\n7145 34083\n39986 64786\n25806 79150\n45320 46383\n54046 88578\n16250 38218\n2330 9457\n16669 41031\n7172 93581\n15860 90531\n48888 76393\n64030 66687\n80891 87437\n51788 80290\n35133 65630\n2137 45419\n73924 97993\n5786 85091\n8176 10861\n54615 70865\n84245 90205\n60659 85864\n21351 85577\n50962 87937\n17322 38271\n21609 40380\n41734 86226\n14351 66712\n783 58298\n68478 96786\n8449 93052\n25118 59751\n7379 15252\n14460 96514\n17284 64008\n33055 84550\n34624 55056\n1311 29355\n17524 87080\n15880 74920\n17287 26679\n45682 92337\n44953 88501\n57934 94798\n58237 78072\n23545 65713\n76373 84448\n6156 94689\n6669 47199\n4703 67938\n28084 86535\n5905 54640\n19554 86044\n66102 91986\n10748 46623\n73609 75492\n47308 59971\n1806 19606\n37001 44500\n86278 98436\n53677 80742\n4749 14786\n4158 52156\n62032 94733\n1354 45046\n8904 87378\n26100 85592\n80705 99456\n33341 33584\n51601 60357\n59215 72959\n36520 96543\n19844 27968\n23334 72124\n28069 87040\n22434 63368\n2291 64991\n78476 88197\n24407 78620\n39804 60880\n57517 83630\n12445 41161\n14667 48028\n26780 52424\n61358 64033\n15976 41885\n15470 48503\n3724 40897\n53864 70366\n78761 86707\n16074 82067\n46040 88589\n24040 70222\n31677 48595\n10837 54468\n419 14995\n11065 97954\n45964 55583\n14589 44773\n21555 41264\n531 68496\n79673 94126\n15428 31869\n60070 66994\n7678 69453\n28520 96108\n51115 94545\n1483 72716\n83161 84210\n6696 30818\n27826 63865\n49888 79632\n45815 66672\n75119 75730\n49923 75826\n7854 66531\n50580 87467\n33084 98949\n36321 84324\n39797 96744\n8920 27304\n6912 98823\n1636 88571\n11718 34067\n72297 72874\n36264 37457\n37916 51508\n45673 97010\n14611 88090\n539 55236\n15013 60143\n31853 62014\n39942 55197\n38741 73629\n17913 24853\n62442 83353\n50869 80238\n21339 96694\n26617 57402\n82986 86338\n6824 76197\n3617 65128\n45270 50421\n27464 95969\n11697 46363\n85119 94559\n56888 90174\n2222 24853\n8154 34989\n18083 62997\n15870 29643\n75499 98771\n21188 58924\n31175 95947\n4180 84329\n11383 83808\n13993 25677\n3681 61760\n32158 59015\n13995 23067\n28693 37570\n74552 84394\n71579 90484\n380 32026\n57652 86766\n46892 54987\n53375 59455\n52568 68608\n3791 64226\n39060 49828\n62025 76236\n12469 94390\n41480 46027\n2515 76105\n80068 99149\n91342 93558\n17078 56015\n75125 81748\n18969 41242\n81180 84146\n57853 92182\n41059 49588\n71231 72185\n73016 97608\n22670 96925\n18606 54078\n1482 33519\n60688 76017\n6413 59000\n40929 90735\n43368 46683\n58474 89631\n32665 43399\n66031 98369\n43005 80070\n84733 87857\n23591 76124\n9056 56270\n62150 91841\n80822 86621\n37513 76772\n28744 80323\n9513 40309\n17619 46522\n25095 44995\n78020 81766\n1016 66830\n12061 83655\n68969 80421\n84254 85188\n51821 70983\n54702 85513\n61886 63203\n37565 57049\n23291 23586\n47274 94292\n37242 56338\n85050 90128\n11626 26012\n22828 98678\n9074 29667\n46094 69479\n53697 55536\n41780 50323\n59972 95630\n28422 77251\n62984 75311\n12266 76992\n6609 61718\n30000 64564\n47769 54097\n676 30281\n68245 79731\n21991 43135\n56430 97256\n90271 91406\n46178 47388\n54950 91418\n7728 94256\n13070 86474\n25211 66686\n16347 86562\n23226 60296\n39878 47630\n34718 74178\n3746 83185\n75015 88038\n9688 50402\n9924 66702\n40350 68130\n33986 37344\n58225 64324\n3260 88931\n1295 84086\n67090 81406\n23555 90595\n88935 95452\n5931 97929\n13846 92336\n61850 69298\n32838 50973\n31043 31976\n43463 48034\n3255 65562\n51289 79230\n40400 75333\n8199 93659\n7587 92928\n19757 96649\n57473 80602\n8514 28282\n7464 18194\n13444 63616\n56776 74220\n23296 24985\n22319 30906\n86823 95311\n27327 46452\n82131 86841\n37252 42233\n24890 34680\n2548 60193\n3439 86533\n58096 82339\n9060 25996\n22973 36992\n2152 52953\n45598 66570\n65527 79791\n6987 51867\n56811 75327\n68753 85707\n87400 96458\n28877 59333\n8644 56498\n22753 54718\n13838 74612\n69399 91301\n15572 84371\n23883 33842\n19575 63979\n26759 79223\n53938 96509\n8812 77417\n58772 81217\n76781 91107\n40185 90573\n74857 86260\n66086 94175\n8813 24902\n2868 71968\n27370 97804\n53894 84835\n18072 61501\n32513 89915\n49953 58801\n4006 39365\n34721 49579\n14700 78440\n20963 60391\n14107 66316\n54848 80058\n42770 90540\n43813 90632\n703 84075\n43950 73204\n4147 42888\n3432 44003\n16443 21806\n38294 87867\n73273 95231\n14006 22476\n21365 85614\n61691 96075\n69943 83347\n14340 74807\n27825 63495\n14273 61013\n50496 53543\n4790 74930\n63444 74082\n80853 95284\n69870 85719\n5678 68338\n49912 81011\n39223 96698\n26233 74858\n638 6724\n1700 54308\n38420 77028\n32270 99703\n40001 81034\n6058 39609\n22053 47478\n25324 69194\n19249 38903\n65762 94791\n60770 95132\n47196 61807\n63818 75876\n45437 51986\n62926 97238\n26237 54234\n84943 85395\n58984 94144\n33939 51926\n25761 95361\n30424 56583\n39867 42612\n5494 52661\n66498 93626\n8214 60614\n42630 53423\n89344 98430\n27774 45896\n995 27461\n11535 15505\n78433 86391\n12718 72966\n31177 98528\n63845 78230\n51512 99337\n57019 83024\n4142 41607\n44876 64911\n10474 84792\n32987 44145\n50397 76480\n3863 86440\n10396 39041\n90195 90961\n9469 87454\n18305 65901\n44913 52574\n438 10873\n43885 51396\n15447 65208\n65213 92246\n29584 84625\n41924 82688\n19909 79897\n22994 84532\n54128 56002\n52519 75306\n28231 73439\n52855 62609\n3518 17208\n31652 94989\n4808 99545\n69280 83841\n37439 74290\n14630 98428\n51862 74500\n33037 65068\n31058 34261\n36922 41273\n55055 91233\n5943 83762\n11881 89935\n19557 99298\n87592 91102\n24201 93136\n53513 90983\n20580 77823\n9462 56648\n34035 39134\n1214 55444\n16123 37871\n6619 37504\n11887 55144\n33412 54810\n17355 38122\n1413 11290\n96880 97537\n35440 37049\n13773 48877\n14483 82740\n3305 5573\n52407 78461\n47109 77057\n45009 72529\n2415 10447\n73550 83612\n29805 71694\n49306 54645\n28672 93244\n61459 73648\n31277 34765\n7206 65206\n43194 76682\n29280 96904\n55323 57008\n33544 79047\n46323 95301\n5626 73145\n75001 79976\n67499 75876\n7999 34414\n46842 63442\n46308 72050\n29942 39679\n5539 64229\n8289 16359\n6251 72664\n36068 78344\n42734 47949\n15637 93401\n19550 59801\n45053 94430\n30652 36121\n23110 58549\n67826 96880\n16472 97957\n21478 29933\n1163 24707\n61842 82697\n12726 39704\n42729 90611\n51203 91033\n2396 21820\n76174 93049\n43575 91884\n51142 74991\n8693 98971\n13762 44141\n23503 77924\n10856 89685\n66476 91109\n15185 53969\n7428 99270\n34022 44271\n16735 29975\n12081 51304\n11585 18353\n29465 65679\n63483 89977\n12336 65489\n42675 74958\n67505 89428\n2937 87243\n6824 93266\n19663 89807\n2548 36124\n46060 51574\n24863 55376\n29060 88963\n51189 90393\n18154 88591\n27534 79855\n30107 77453\n23548 42242\n2395 43077\n10560 37478\n79660 93091\n12060 23657\n78774 98821\n35818 84034\n21086 29659\n62145 63319\n9869 82353\n38136 81533\n4487 81838\n24229 64604\n55586 69131\n25081 35231\n52799 70262\n46864 84942\n53151 82835\n23213 49961\n4583 64319\n51115 74670\n7487 56989\n54636 61328\n8978 10652\n4363 5233\n65333 94496\n12460 24036\n47167 50965\n24706 44766\n5743 51744\n81064 98065\n8576 83612\n17286 27296\n20863 79863\n4424 63689\n30883 61987\n7414 77271\n44818 55224\n1450 19647\n38259 49496\n3802 48997\n94602 98020\n14100 95732\n26412 51214\n57842 88813\n39440 64580\n18699 92907\n72222 97333\n87265 92402\n22781 31642\n23034 74253\n36095 65719\n16289 95843\n26941 80388\n52673 95622\n28912 74300\n53988 68247\n13740 20568\n39789 76161\n50974 68561\n1016 16127\n9965 95628\n8035 89940\n6993 35700\n5699 90774\n79325 91207\n27473 63811\n53036 87042\n29551 56343\n79045 87474\n62349 92731\n432 63814\n20521 37061\n45973 46024\n42631 44175\n37607 72152\n89028 91093\n11113 46917\n21306 42726\n850 41185\n29656 45358\n25443 45639\n77530 83287\n6745 7804\n57663 68524\n36075 39258\n55935 95984\n2017 24726\n34120 72347\n9347 88380\n19349 39214\n21994 50018\n15696 86836\n15230 46721\n61400 96061\n44352 74654\n13962 35340\n48865 99824\n24541 70895\n52856 84002\n13064 83282\n33260 40683\n77104 86761\n53553 79891\n23638 74042\n45261 49946\n9644 49532\n28700 62344\n17440 60681\n10795 38864\n768 64429\n3802 65216\n38488 49255\n19831 51747\n34028 98592\n10328 31337\n3531 30451\n37030 68478\n10516 99640\n64349 74076\n10217 72793\n43351 78664\n24396 28588\n47224 64383\n2687 27760\n12550 49127\n8684 63292\n57194 60937\n64318 69047\n43764 94661\n23881 73913\n13280 89923\n13246 34990\n11723 52738\n17793 17953\n29858 32926\n51115 93251\n2235 4019\n43302 66148\n43691 52321\n31203 49297\n60243 77330\n40423 87972\n22560 36080\n20149 71108\n24727 37265\n72989 76614\n15618 17198\n29252 44879\n4026 57200\n12516 84407\n42466 84246\n26480 72274\n59959 60191\n21038 86416\n699 57315\n49098 94780\n1594 53856\n984 2511\n18969 66573\n40911 67979\n30005 38204\n11663 39155\n42108 93417\n4393 89053\n8204 95638\n4784 55566\n27658 62356\n15480 97849\n11702 87656\n55429 64010\n3464 10411\n44347 90522\n9860 92898\n44417 68431\n44810 85095\n77962 98977\n1604 24409\n56871 61395\n62020 98450\n25290 58344\n23281 84990\n16370 18541\n23725 66083\n36603 46038\n4560 88586\n11606 87034\n2773 40547\n14282 18526\n20409 33672\n92756 95518\n80397 90109\n124 98099\n20637 23281\n29227 30584\n3342 24972\n4375 99915\n92906 93428\n17633 72341\n24051 66172\n14171 71561\n14318 70091\n20516 24106\n38980 71012\n41521 50387\n42269 72472\n34935 40949\n5247 51743\n29110 48926\n52745 89997\n37985 41644\n5273 67647\n17498 70955\n42786 90260\n27766 85765\n16882 29832\n2052 56356\n11178 59773\n34465 93322\n47882 79622\n70219 94195\n63580 84413\n1042 28663\n11947 95984\n42395 64816\n51971 75744\n29387 76875\n13573 41098\n16772 36025\n12099 92431\n14952 45656\n76119 89128\n17899 18771\n53759 61712\n5479 51663\n46769 46825\n18506 27736\n24050 46800\n33387 87097\n7580 77995\n10118 73309\n26873 50580\n61210 88378\n48079 88895\n28110 40807\n60143 68673\n32467 79916\n27443 82218\n34684 93333\n31760 45711\n37860 38790\n45384 96819\n25516 48269\n20369 84936\n22713 44473\n16617 95126\n87068 88415\n16395 44073\n51097 89055\n1718 90650\n30735 99384\n33313 36879\n43823 63250\n55972 82481\n5161 47653\n36528 92761\n31987 70515\n43005 53586\n41085 63779\n11234 88468\n47911 98277\n29918 38498\n5013 81659\n54582 97847\n3734 24419\n29826 56901\n6412 44982\n51308 55537\n4909 22175\n18975 93221\n24504 78162\n30866 85449\n12196 58144\n30656 52981\n48825 52597\n5796 39796\n15277 44066\n13990 52185\n52198 56528\n87607 89175\n30523 42662\n35466 68903\n43489 48708\n20742 88775\n56271 66554\n19116 86732\n47525 82108\n21546 36543\n77351 91614\n39472 98345\n15941 74760\n55688 83469\n17723 23647\n75466 75543\n48437 95845\n71726 78776\n79689 94638\n25690 36784\n33161 62616\n61330 93076\n34416 69959\n16778 60232\n5541 26729\n21209 48289\n66006 87064\n41889 55586\n13346 71992\n54787 70061\n33717 94774\n32573 69890\n43840 69006\n54362 78402\n21532 79597\n16857 65826\n29749 87091\n51209 97379\n64482 94646\n20950 33395\n14254 73981\n15504 74490\n41086 42136\n331 81590\n25090 76932\n61519 74748\n36672 39565\n13184 64316\n1914 45185\n4261 97279\n17694 21777\n41881 60251\n75637 88475\n53268 72496\n30295 34552\n57653 59104\n9685 74466\n15885 73404\n851 1688\n61667 84455\n22017 29852\n7634 76741\n6464 10214\n62700 73473\n27599 64699\n35933 63871\n73313 81639\n1028 35623\n4010 20232\n29519 78040\n10126 13828\n39041 54435\n22541 30837\n14395 17897\n61438 66915\n32772 44700\n18822 45108\n26754 62894\n35080 50314\n52019 95388\n17205 33409\n42412 98968\n19920 63657\n48869 59289\n15505 83433\n14843 96894\n40901 48537\n61813 83286\n21106 27775\n11224 56263\n22552 69189\n44000 59547\n30902 77552\n40745 58263\n27919 88869\n20662 28590\n64900 78114\n14694 38262\n33565 59770\n51685 72126\n16982 63520\n6891 60334\n28049 71747\n4269 24650\n34421 51682\n28383 34940\n49353 60487\n28647 39034\n9058 24483\n10724 90189\n40868 81377\n12519 78576\n16507 49172\n7526 25032\n31756 39596\n78560 99289\n17287 86166\n26582 29430\n22022 31829\n22993 53961\n5029 16484\n41083 42298\n20921 96931\n23672 67023\n77550 88278\n16528 94688\n41890 94474\n4467 70110\n39223 58817\n22181 76423\n81720 85251\n69954 96831\n4827 97577\n3558 34538\n91258 96190\n88490 88982\n10465 11303\n26061 33989\n8575 39656\n79982 90436\n27857 81232\n38165 62496\n69396 98408\n13418 71866\n77242 89182\n24067 56614\n27557 60099\n36182 47013\n15479 43075\n50771 83582\n11192 64202\n9835 32061\n87617 91650\n66993 97851\n54365 67450\n45443 64383\n18792 42908\n13217 34439\n2244 24375\n77036 88467\n53824 78987\n9869 49241\n67305 87722\n42840 79630\n28303 35306\n49979 93669\n43512 51915\n28183 78984\n43741 75904\n38133 41672\n11426 72357\n34246 71220\n1434 76138\n21902 59077\n40552 81419\n10832 49830\n39352 93803\n18740 30979\n19465 60938\n13831 97965\n2243 32647\n8198 71142\n24047 88448\n67949 78338\n74898 81174\n21805 75127\n46884 54166\n69278 78614\n1755 51301\n5394 32361\n24888 70109\n44749 74493\n39445 68278\n54000 54205\n2841 72096\n98877 99123\n11977 24505\n21959 69575\n7236 77695\n70885 87605\n76091 85210\n62191 72427\n6603 50985\n25187 94701\n50596 94931\n6076 51756\n58055 89660\n34176 62401\n1450 11017\n15231 45496\n61224 82235\n67947 96516\n21483 65657\n83697 93751\n35967 36899\n12592 24421\n38187 39151\n13551 86333\n16358 17096\n11039 41028\n44639 52410\n17267 79481\n46512 69101\n73233 86231\n18627 48259\n51541 99765\n23791 30750\n33582 78434\n49328 74321\n67591 87330\n67713 83956\n35516 70385\n7898 73128\n3405 94498\n44160 60140\n12575 20543\n48044 95944\n14356 39804\n14960 74721\n9353 92389\n5832 89691\n85935 96625\n56671 73283\n17871 49920\n13529 86282\n26579 92199\n29081 49692\n41473 49324\n10 2588\n22755 31086\n62709 71213\n68866 80478\n63902 82020\n69769 73364\n54635 88446\n79190 92027\n46887 59565\n14122 78757\n39740 63224\n66848 67099\n4813 77333\n31491 36547\n75852 93360\n47418 49528\n13070 83174\n8842 24511\n735 27305\n15056 40582\n48667 86976\n3048 81625\n9626 62485\n31322 85869\n12665 20874\n23428 24651\n4544 28237\n30698 99721\n92820 92850\n46618 77551\n49832 59396\n24524 63174\n74274 76396\n371 23064\n69803 73485\n8179 84849\n38765 65443\n20927 66978\n9995 90916\n28348 57138\n28616 68883\n49082 66079\n60977 85341\n2572 40146\n73271 75913\n10952 74581\n3729 87495\n11239 21882\n10198 23530\n23834 64488\n83873 94670\n17738 97659\n34230 98999\n40303 79091\n5623 46874\n41732 51437\n55134 59994\n48623 90118\n32076 76715\n53508 62688\n6516 17223\n13332 92639\n39478 90768\n20197 88041\n11544 30069\n50803 59235\n62583 86275\n64862 84399\n38670 82561\n28367 37996\n13744 81548\n39451 46549\n36514 77879\n26047 31871\n31029 87053\n11747 66527\n40433 65441\n11643 41437\n42535 71651\n23579 83078\n90531 96881\n41322 50557\n19900 65883\n21790 69627\n56723 71629\n17543 18889\n18619 34232\n8612 12029\n31373 34435\n11901 23869\n12553 58719\n13898 90695\n12651 93357\n25524 47640\n9974 14323\n83953 84184\n31514 79902\n4352 17721\n26406 35729\n11970 86923\n31993 74074\n68562 79613\n42448 54477\n22299 39781\n2762 74672\n13037 56777\n76171 89319\n1340 62425\n40914 95616\n84810 98282\n65941 98301\n44780 48884\n78222 96444\n12799 81084\n28605 30649\n35150 75743\n34421 90680\n1925 93214\n6552 9836\n62689 96885\n54017 56625\n33171 81740\n87292 97714\n1174 73904\n59415 66063\n16762 85122\n50738 94221\n8734 43930\n54566 89886\n8748 19501\n25711 65337\n32597 55877\n38603 56117\n24964 90909\n14917 74096\n53552 57841\n12151 44274\n6174 29590\n15051 69455\n29739 71501\n55584 64632\n55870 62268\n34098 86215\n86465 99361\n26565 99977\n21324 89921\n24542 55513\n62521 99833\n9943 65847\n92923 96509\n58943 61125\n36919 58323\n4693 47088\n17065 54722\n65078 67748\n62158 90155\n10553 47985\n61378 64453\n30045 84054\n31278 32236\n38602 89275\n20243 38788\n31267 90813\n50402 99908\n3092 71610\n40010 70735\n2861 66926\n16728 27468\n22496 89297\n12081 33713\n8352 81151\n3966 70532\n57982 78208\n69223 74097\n12622 86240\n26394 77020\n50169 99823\n64197 97825\n52097 97426\n63502 71972\n6093 31044\n22870 42804\n13802 30352\n73821 77161\n27337 45957\n2137 92935\n53585 98436\n16992 44528\n92420 96069\n40311 46418\n9036 19823\n70695 90493\n69989 86811\n59556 82720\n99766 99831\n15911 35439\n1643 78836\n56503 77368\n39769 60752\n36682 65053\n12555 75448\n12525 57976\n60550 83670\n1190 3037\n71804 86943\n91931 98444\n16204 43567\n3685 67076\n63657 71156\n29691 79009\n69919 78884\n43438 82528\n27934 54099\n39165 60350\n2626 14154\n65709 93811\n5545 97048\n63391 87244\n45921 63440\n36724 49457\n7758 66557\n45346 72994\n19353 63577\n13589 96380\n30413 37977\n74106 96922\n26284 41107\n4815 24873\n52411 91134\n13519 67274\n22254 83826\n11778 31881\n27710 77367\n50046 78376\n15883 39789\n52559 87287\n14536 95818\n44470 81678\n27492 36450\n65405 84702\n30852 56193\n36127 99158\n29465 59897\n88661 90577\n1990 19664\n27101 85651\n15152 72530\n13056 70202\n57727 92125\n38939 76778\n57069 85388\n72146 76921\n42971 55649\n30357 43209\n76356 76814\n16803 25222\n13249 98970\n2685 42689\n21686 33532\n74691 81015\n1809 36167\n2384 86453\n12492 93260\n38672 42318\n1613 91396\n47236 72211\n14241 41770\n9760 85054\n48027 79766\n62178 62402\n5570 44673\n3213 52985\n27918 55927\n55163 97150\n7393 21438\n45758 55951\n65027 78811\n48998 73405\n9877 78505\n14054 92848\n10291 42434\n19740 43854\n56462 69066\n25465 94651\n29133 96542\n23435 95078\n54632 61387\n41873 60528\n20662 37183\n54135 87365\n44206 87458\n37854 63137\n80552 92014\n34560 87681\n77781 83114\n39552 97066\n18451 26095\n8638 46626\n6769 26212\n4715 57524\n21977 94238\n46052 57758\n937 67983\n38523 49042\n90133 96949\n64404 74352\n56414 57211\n46881 60564\n69987 74696\n55807 84843\n28520 71400\n27511 46283\n15206 94095\n20796 50873\n44306 63426\n15687 59587\n16156 85894\n7929 33178\n16188 29484\n83428 99100\n20751 57943\n56274 91115\n65978 99635\n27686 70206\n42279 64183\n7855 87629\n61693 80196\n2942 46999\n46858 88135\n14330 83794\n26634 86031\n14578 29800\n40331 76816\n14382 54414\n3638 86415\n12042 50410\n58156 97636\n27412 57561\n35674 96780\n18853 29444\n82391 89876\n46885 61381\n8199 85924\n29355 85608\n8196 79955\n24330 73692\n5591 46510\n67907 88945\n49382 50794\n9961 61989\n62729 67089\n1090 82864\n28399 58377\n27473 44087\n1419 58068\n8196 39569\n66334 98579\n36908 70312\n29109 68876\n8599 44610\n70639 89548\n57797 86667\n66326 99609\n13026 42771\n16532 31212\n4411 80387\n53639 90771\n46853 97587\n67456 68741\n7605 67290\n5139 60458\n7046 67276\n15322 26276\n5151 94331\n2576 5519\n43430 51860\n78185 87450\n60899 94176\n9672 72455\n73877 74423\n14270 72617\n21266 60494\n53450 94261\n87016 97410\n14360 87481\n19140 41987\n6588 90575\n46999 67755\n29730 88903\n22510 82423\n48096 84217\n20266 62693\n9026 53996\n11597 58618\n28332 29632\n4541 77918\n13099 71335\n95149 99231\n26162 53681\n20851 94777\n35118 77355\n51802 85167\n45980 77963\n65149 78078\n9207 32216\n60963 93370\n49140 67626\n7519 99951\n54942 69030\n7531 90825\n2695 60209\n22714 59518\n30983 82908\n60180 78533\n33173 57973\n14369 61217\n57536 96264\n10118 88777\n18360 45615\n9977 75771\n33927 98565\n6810 37744\n52031 69750\n12658 87649\n11527 20054\n24586 75366\n15324 29000\n28695 80464\n20160 20680\n56988 75847\n8901 81710\n83882 87940\n43700 71893\n18840 33677\n42595 60064\n783 23163\n80522 95088\n574 49808\n24370 46711\n37534 67519\n70154 91616\n48689 82449\n28072 80436\n10476 95405\n46744 96022\n7613 17700\n24915 37273\n37905 59361\n26878 46261\n11465 12010\n9109 75758\n37395 55609\n27250 99337\n80192 85994\n41151 57320\n48625 90598\n22908 92372\n50201 85365\n21259 53542\n44320 60479\n39412 61027\n8888 76536\n53788 82248\n8553 37844\n3032 39001\n5849 43377\n4775 6107\n16625 37156\n67820 80910\n71423 95566\n1758 75113\n21609 22248\n11472 95945\n2866 8869\n7708 88377\n8113 44941\n41771 92856\n24639 44282\n13881 58692\n38874 43476\n62418 93536\n26680 44675\n74071 87747\n173 28603\n10470 19797\n67210 70433\n17432 26297\n34546 73047\n75309 83830\n35738 39209\n13576 24732\n21816 33578\n37312 87396\n56617 69284\n659 48923\n82015 92192\n29085 89491\n16486 35816\n77732 96536\n17744 89450\n32229 49152\n7116 29829\n53528 92225\n677 96112\n33482 84287\n35303 89058\n34139 86396\n26111 73101\n48130 85047\n18511 45719\n45067 65127\n72869 84183\n33204 44551\n35079 70055\n2462 35184\n23223 48030\n31560 95410\n35417 64483\n56996 98031\n14543 78058\n14797 22344\n8411 55415\n59555 97183\n61497 95687\n11004 42583\n76886 90009\n9661 81974\n13521 68059\n4627 21665\n8722 89052\n78796 95658\n11356 52001\n21204 97630\n33812 42631\n79350 82924\n28818 33887\n16321 44906\n60764 74354\n25011 41572\n49630 87202\n60021 62806\n81839 91470\n27065 41632\n63394 74335\n17147 80215\n62256 89882\n16355 41168\n69026 92037\n26370 33086\n27344 28215\n8782 63511\n31688 37211\n7498 16997\n45289 72914\n47622 68880\n32628 34328\n6587 13378\n2662 87765\n19114 28746\n39173 81869\n17602 52581\n27210 67243\n30977 42994\n48460 90131\n65897 89128\n64423 80632\n17261 18897\n23783 34028\n11812 83120\n53772 94474\n61035 81090\n7758 39135\n16754 40787\n11182 26064\n25920 92015\n13488 19411\n1318 39079\n16607 74238\n13655 23439\n325 51097\n37475 60332\n2504 94076\n18769 78521\n91288 97704\n41683 63152\n52619 99826\n40649 59562\n76704 80528\n39035 73592\n21673 54084\n26999 91537\n6679 90722\n21883 80712\n71105 80807\n25197 97621\n44211 47314\n978 9117\n76390 97620\n61102 89449\n35446 73647\n9497 27348\n64748 94471\n51819 78410\n37571 45880\n29331 91500\n20683 33533\n11141 67949\n39091 90273\n25600 89973\n4766 47800\n93360 96890\n16003 49747\n70219 98175\n19372 95653\n80564 92589\n50225 60473\n53121 78268\n2795 10060\n25551 91929\n36912 70631\n68687 95350\n33736 45413\n5923 31486\n70095 77933\n82495 86972\n29558 74450\n20657 80825\n71425 74756\n24059 48434\n22765 64535\n46421 88995\n35779 60395\n30018 51197\n83052 87126\n23763 91553\n15746 63354\n55806 84202\n9521 33443\n7146 85189\n57357 86324\n17126 34787\n20507 94347\n43313 58737\n10108 73320\n41111 94711\n20468 87806\n6620 78179\n15312 28684\n54916 77105\n11758 43695\n81940 95779\n828 6051\n12319 24415\n5453 20228\n54395 72999\n40927 62113\n8949 67641\n20324 61480\n53596 70429\n24248 94572\n2279 75743\n18677 99456\n21585 22308\n15349 16110\n63897 83046\n23762 79976\n51706 80658\n17884 31795\n62072 80014\n54849 87400\n41990 95662\n26490 86022\n1036 27331\n5595 79514\n50630 72796\n61716 84997\n280 85894\n16142 70556\n21858 29753\n90305 96443\n3602 81730\n12761 48561\n59205 68924\n34516 98012\n37810 66772\n9989 62198\n15193 53197\n26513 79126\n56000 59547\n40439 91240\n23602 57617\n45386 86530\n28177 31275\n14024 81666\n15633 92445\n23730 32195\n60527 77533\n75519 93824\n40146 96423\n45621 65421\n54755 64697\n26213 99900\n29119 34302\n10693 38634\n51902 53223\n31413 39780\n52386 98726\n50197 50591\n45364 92302\n12477 89583\n2916 83510\n19632 84516\n9391 18163\n6161 33533\n13820 60404\n31642 57044\n38460 97539\n10498 36985\n40212 89048\n44877 63468\n40258 92386\n33106 41273\n63155 90242\n69329 98521\n34218 47972\n6080 59345\n46936 95618\n50613 94299\n30664 95338\n1152 60635\n26910 62851\n56093 78884\n10702 58450\n25025 52014\n23763 77955\n52051 72221\n62413 84350\n16030 55421\n11415 46792\n64939 82560\n23451 67068\n11900 24264\n71440 81290\n6313 90319\n17827 39959\n71334 80647\n34707 44699\n819 42752\n41142 89550\n11294 31358\n12041 59515\n29597 84725\n15628 90493\n19517 97513\n86101 90302\n35948 81432\n26234 36443\n5042 49442\n5060 22622\n7208 43439\n47093 50000\n65606 67117\n5518 52300\n8993 59084\n59197 93790\n66543 68705\n5368 35703\n10204 51072\n31390 69929\n4781 7782\n5570 27825\n31701 50551\n68205 90325\n47449 90831\n11576 46499\n84726 88429\n12693 47860\n7690 76575\n66925 81680\n40249 68424\n24802 47464\n36135 51108\n63579 89642\n9704 13406\n11816 44668\n32546 86232\n23901 91173\n11768 65595\n23083 28838\n8898 96209\n34221 60229\n38832 53562\n66424 77392\n1211 75523\n38340 50551\n25496 74305\n10098 80818\n16966 84532\n23242 79716\n5002 22166\n8561 64523\n38002 38298\n10550 76092\n20715 99454\n96174 97408\n7118 56289\n5529 78586\n39804 42126\n35758 40330\n13881 47090\n64367 76543\n25587 44468\n56656 80364\n53312 89843\n13799 14574\n11400 60079\n88509 89535\n41605 57594\n19406 52848\n29918 95901\n12138 88974\n59350 73390\n3693 50111\n4920 98950\n7336 52150\n11438 83483\n8020 89262\n13799 34629\n63689 81680\n33249 73410\n28802 44823\n17614 75763\n76036 76056\n51966 58156\n28312 79355\n36865 38426\n27648 53726\n23093 53755\n31213 79883\n37734 67579\n11512 36916\n7035 57020\n17716 46796\n26964 63437\n24668 55675\n21060 72864\n3074 53304\n10781 26567\n44469 65273\n44522 69642\n38777 43607\n32176 99354\n70489 72285\n22619 35004\n63238 77165\n41360 75256\n8822 66154\n33731 83350\n26080 66710\n5059 63786\n65924 69304\n6883 25917\n46057 56308\n2655 94259\n62873 70612\n29486 44305\n11530 24176\n7554 74422\n74505 82654\n4899 59516\n3544 4534\n30011 97222\n16816 46759\n21801 48937\n26344 31399\n79086 87754\n2627 12347\n65670 92909\n30779 71072\n26689 96139\n52020 90600\n15709 46062\n39310 51883\n46701 57589\n47584 78810\n20806 69375\n46834 81601\n56871 58663\n33381 80005\n21124 46144\n72215 80800\n57457 86374\n3871 60515\n52406 94554\n50651 90513\n39703 71750\n60104 60276\n51543 66747\n33352 68437\n41914 78609\n22976 80233\n19882 78489\n4215 42616\n42676 69558\n15629 59512\n27509 63600\n41298 63648\n63961 96246\n750 63564\n83237 95288\n13812 67683\n32389 91778\n46712 79433\n28681 57822\n5116 21617\n18108 77935\n35622 52135\n68158 71005\n46542 76186\n66592 90399\n44989 68471\n21467 88401\n63848 76501\n27704 31481\n20774 39129\n68052 88118\n18808 95850\n41839 85012\n2708 30815\n16813 17119\n13513 22847\n76643 86603\n32566 69319\n25768 45317\n18821 52979\n73199 92716\n14745 49191\n13795 27691\n37809 95946\n48668 94913\n7562 66530\n61997 88808\n18892 78469\n43773 81461\n59107 92913\n17553 49826\n48355 85565\n46612 96769\n53916 73886\n27489 77848\n53697 65830\n3201 42785\n440 89540\n82773 86421\n18675 70885\n71604 80992\n51655 71219\n56041 84739\n47065 49825\n88088 92028\n20421 82529\n45362 56849\n43657 83577\n35544 41182\n29528 94333\n12443 20433\n14577 58729\n19989 85261\n15909 17367\n2644 38101\n6841 51737\n56683 78686\n1203 26926\n24259 59825\n49202 84310\n29578 80828\n533 14317\n3856 88071\n61003 70251\n39186 74321\n87395 93154\n6698 34811\n42305 99590\n5008 62596\n41895 75578\n8535 77385\n47826 48693\n11352 45761\n18182 96545\n8492 84988\n563 35644\n5347 51926\n17732 94142\n953 9365\n8147 38830\n29159 68565\n50528 89686\n35956 99438\n64005 93603\n20715 71473\n8443 59149\n28319 35246\n57595 73004\n5813 36306\n44209 47731\n35025 55932\n78662 97092\n40906 91585\n63336 75764\n14897 16396\n19965 52191\n30568 41330\n31058 96565\n16695 45091\n36416 57557\n18921 48336\n16125 90557\n3710 35816\n22467 98249\n22747 47976\n15422 16470\n1772 11250\n28914 76069\n12088 55816\n3396 89000\n29487 33471\n1050 75189\n26467 88015\n39505 80479\n29950 98042\n14818 35983\n8598 36951\n59849 60002\n72615 82212\n7225 85564\n21128 62610\n47342 70257\n36514 64993\n23726 80996\n25095 78260\n64082 98883\n51002 73943\n72515 77612\n15297 60197\n41657 98724\n47336 87825\n81100 95313\n2037 15674\n24735 80820\n23081 72559\n28793 83528\n70075 87740\n10899 97089\n9303 25528\n45311 53018\n2692 91448\n22071 46700\n61005 95403\n2948 90991\n25278 31322\n23318 85904\n3845 69152\n6983 55248\n17296 63741\n48709 86419\n4337 67364\n25061 39449\n46347 58029\n14243 68927\n85424 96312\n29150 86338\n19792 50594\n70285 85041\n50517 97220\n38603 94600\n78540 95176\n40463 94484\n41721 52001\n35267 88364\n30183 96376\n47883 61170\n14072 65954\n50117 88714\n23830 49634\n13309 42219\n27160 52224\n37264 74057\n22094 34629\n8778 56796\n6527 57328\n89523 96817\n29731 89131\n42937 65075\n4050 33901\n6938 7257\n13778 17198\n4530 38774\n7267 65677\n13256 60623\n65744 79557\n53183 94721\n9756 97172\n58950 66740\n20745 29300\n68346 79214\n10994 71529\n17764 60748\n31909 37652\n33826 84760\n12007 14141\n33909 46446\n9771 19557\n22886 45585\n32670 68084\n13966 96744\n10846 11131\n48355 94841\n71689 75416\n23160 65597\n23742 86815\n37644 94390\n14272 20127\n838 10045\n5082 90943\n9337 10740\n59400 69708\n64865 73512\n53590 74803\n1617 17869\n36729 92684\n17222 67527\n33935 88375\n17678 84787\n83433 93520\n28015 52533\n5476 94413\n6442 10179\n64849 97794\n10421 91899\n2018 99349\n7295 69899\n58551 80616\n44580 99148\n11672 90599\n34120 46378\n11260 54803\n16519 25583\n16800 47395\n11326 85857\n57376 79863\n36791 41760\n10048 64296\n36766 93517\n30947 69117\n30427 34270\n52805 65489\n25654 96903\n41279 95798\n23603 89563\n60390 84796\n5923 10223\n25928 83907\n78346 91275\n31922 48814\n35062 89262\n7667 45752\n27348 69534\n7933 57460\n4027 54442\n15205 37193\n42069 53335\n36962 43745\n85754 87049\n44571 54857\n72067 92152\n37042 99819\n22372 49791\n33338 90682\n48033 98562\n9227 19594\n15571 96174\n4127 79257\n53138 86478\n24966 60224\n177 67731\n5018 38484\n13102 46458\n30726 57655\n27358 29055\n20571 94119\n88550 89787\n2813 86121\n26801 78214\n6757 92788\n92459 97463\n61674 98456\n11357 97099\n23528 95047\n73926 77475\n54786 74170\n11304 58468\n10308 13450\n13874 16340\n35098 79290\n63988 67930\n26527 31680\n12076 75677\n12249 28881\n26128 42612\n20246 29424\n8978 66049\n47748 59761\n78657 90433\n16846 49895\n40077 86091\n38755 59244\n30 20510\n67018 73054\n71879 72573\n17176 99156\n80153 90041\n22560 29812\n40803 88351\n39208 86070\n45527 94102\n70759 87103\n10135 61790\n60114 86516\n5622 32448\n17043 88200\n12827 35187\n8204 11388\n38419 88834\n42496 58217\n15756 42259\n26090 87393\n53330 53588\n9310 95001\n29154 90262\n79872 87396\n51882 74347\n42048 62554\n75403 87546\n57869 61309\n17928 56266\n26033 35867\n44091 57800\n13565 43685\n4130 55861\n19534 97259\n32124 78747\n23690 27317\n18142 32807\n27284 92522\n33844 43610\n68502 71868\n52542 84407\n5693 89729\n29941 41497\n66547 95377\n16516 26394\n84460 87473\n4241 66912\n49188 88128\n15290 23752\n43288 76086\n8421 57193\n49449 55033\n44228 69662\n30131 82367\n26225 45537\n51974 60904\n57581 85625\n51444 80090\n4936 28531\n19770 46236\n16932 98929\n4477 50339\n44057 78063\n25276 89137\n49668 86959\n63040 82164\n21549 68136\n52683 93154\n31104 93179\n40260 42089\n35376 45466\n37920 55325\n77039 95844\n29007 44758\n5864 96618\n40639 90090\n15047 97342\n32526 53704\n59382 61698\n29010 55206\n37629 80624\n74918 89649\n47803 77512\n8587 52964\n24609 37707\n54623 90324\n7393 83442\n87070 93680\n24527 73129\n73119 87269\n731 64242\n47211 67888\n11433 91533\n11316 75263\n11450 42775\n4041 29382\n21065 32025\n66076 96401\n59716 77205\n67423 99313\n16946 56434\n24971 92297\n38460 63169\n41779 48042\n50822 54405\n67331 81601\n4346 33682\n25144 94310\n29667 80144\n69584 81866\n7900 83574\n71113 77874\n30479 81833\n80274 97467\n11775 93069\n23339 72833\n16297 85330\n8537 56347\n17783 96551\n54262 76928\n33128 81214\n16891 45992\n845 82137\n5599 40193\n54150 70899\n52458 65223\n25823 76421\n10421 58557\n56265 67782\n24757 30556\n6905 96741\n65831 82349\n49739 77982\n19650 67163\n47084 66456\n18371 20315\n62132 68955\n13746 84807\n21485 93444\n53571 79321\n78868 87362\n15063 55509\n14236 98870\n90833 93395\n755 61596\n39897 91135\n19961 27134\n40676 77851\n1836 37880\n37174 61828\n14694 61907\n60506 83493\n69584 89497\n21033 66873\n3127 28325\n54769 81581\n56450 90544\n24016 89986\n50475 68197\n30916 59080\n21076 98448\n52444 98302\n45278 58780\n3789 45138\n74163 85194\n21906 67582\n12197 67799\n37530 43936\n2661 23166\n17377 24316\n41914 94293\n43717 69096\n64361 85183\n53670 60613\n10475 70857\n36230 59575\n14313 34233\n3606 64116\n47918 95433\n47564 78620\n2030 60275\n16172 47558\n92992 97682\n51568 92041\n74816 84252\n29510 74031\n12252 96893\n26183 83860\n4243 74804\n92848 97973\n4412 43934\n65209 68913\n4350 37952\n11131 70816\n31096 64935\n2149 66376\n31774 35986\n7613 87570\n12705 85388\n22448 88859\n37667 86160\n26371 40586\n24960 70617\n41519 99721\n10172 56164\n66594 79303\n30264 77715\n64562 70830\n19439 55017\n1329 17117\n39185 89306\n26931 57289\n39146 52122\n12277 63365\n19186 58542\n31638 38809\n29382 64819\n15986 98828\n53355 60695\n66839 85868\n19096 86776\n31899 75260\n2227 35143\n35314 94790\n22729 45084\n29867 30512\n44699 76009\n25955 55222\n11054 72252\n29553 39696\n35724 61393\n132 40769\n2890 87758\n57138 93178\n15709 17128\n10416 45860\n13625 56964\n25042 32603\n38897 93058\n2350 61958\n14741 35514\n18128 98237\n29163 49041\n42177 93243\n59415 93652\n59478 88146\n38276 55466\n44807 49908\n29494 52951\n37400 95106\n88778 92834\n97517 98035\n35172 73047\n39246 88825\n12273 50062\n39061 92022\n39496 89899\n19474 21875\n9068 33641\n2323 2330\n11066 97565\n71356 95825\n5258 24298\n17828 93301\n18129 67527\n2069 50932\n87749 87994\n34783 64688\n26554 71130\n35591 74671\n44221 77374\n6443 15343\n31515 75484\n27378 87877\n41789 86622\n68045 69427\n34132 40933\n20599 37342\n87393 93993\n14524 30179\n5285 36591\n24592 33997\n71421 95302\n9495 91299\n27307 27526\n7931 96161\n45525 61594\n21890 85564\n62056 81894\n76886 90346\n6198 61831\n42077 53483\n71848 96790\n35975 84371\n94974 99622\n85315 98796\n33967 62568\n46565 68085\n28110 44306\n643 83683\n69501 85072\n12119 22489\n66284 75496\n3044 97505\n44718 98487\n85008 94058\n8752 58270\n59238 86445\n80179 90397\n39256 77172\n49455 99460\n37537 87065\n29607 82313\n23567 43636\n57061 97015\n53938 99527\n48968 87469\n28934 71358\n10220 50710\n36558 46694\n6015 77249\n72040 91233\n70685 95846\n50901 99807\n20889 76329\n67668 92218\n17455 62518\n6475 38112\n12685 67289\n61087 62687\n2301 18891\n3731 10118\n31957 65914\n27254 69957\n19774 83434\n16593 29426\n29424 49232\n17989 94717\n24564 98126\n41586 67918\n43227 53807\n34758 89499\n53487 55246\n92002 96403\n50181 83210\n54291 95505\n36018 60544\n31674 50527\n1950 86629\n65560 94055\n25199 82280\n38990 64568\n54521 85409\n19775 80716\n9207 63020\n20783 33659\n30447 36440\n31840 95294\n23139 99092\n29209 32068\n17246 30899\n33008 76438\n14130 17381\n56156 89964\n5901 98867\n10644 85654\n19097 55898\n53543 61205\n43897 77295\n11041 57481\n57765 70788\n9485 80674\n38913 43886\n34853 86260\n55909 62506\n77716 97926\n59011 81454\n12387 74545\n49076 78784\n4534 76132\n23194 81960\n14712 64554\n19056 99084\n29629 52926\n41499 57647\n19640 66871\n47787 53411\n23090 89606\n10349 81691\n1048 48322\n11509 98166\n53858 88823\n23832 60622\n16342 79260\n11172 22603\n24807 48329\n68950 99458\n42473 75890\n44795 93950\n16149 32110\n22798 98443\n5902 55588\n27252 86781\n11606 51600\n7855 46280\n93847 95400\n39329 43272\n20894 81720\n38809 82796\n21181 31567\n13448 94082\n37769 63321\n56298 57151\n38770 63514\n9442 50076\n17891 44979\n85060 93471\n71574 81984\n193 51685\n39061 76822\n40890 93106\n6317 53315\n4770 30255\n29265 30634\n1166 47527\n27274 53779\n37433 72819\n4990 78771\n54526 97911\n51100 72019\n71695 87169\n5587 43340\n11632 93788\n10866 56745\n67798 79503\n72360 76139\n40900 98089\n9573 37303\n6726 85516\n27564 76452\n64617 89996\n454 8349\n67049 76987\n36410 74811\n45111 48004\n51362 83732\n37465 57100\n12300 82851\n27876 59800\n6139 39492\n26643 37725\n36640 87938\n43585 77326\n6301 47537\n45416 95411\n22527 97434\n72041 81678\n13372 63106\n3667 81591\n10855 32165\n28789 93203\n18946 93633\n2451 60284\n16148 26070\n3782 7923\n25483 54871\n58885 86028\n44684 80468\n26253 28445\n40551 76408\n38424 99203\n6979 34277\n43297 49724\n30556 87444\n13488 18029\n5428 31723\n50179 93887\n70113 87092\n33873 89596\n56302 74703\n11122 84936\n81994 93407\n3529 48037\n57668 65916\n1444 52054\n45359 66419\n67056 81401\n71829 80898\n20853 72709\n18551 44711\n49802 73897\n1841 67470\n36367 76252\n39823 73656\n2419 99291\n35651 49775\n28607 93281\n2402 47205\n8620 86818\n25553 39083\n41123 44196\n93736 99322\n83007 91223\n51895 99304\n25229 26286\n13820 72212\n28118 53651\n67849 83034\n16498 37632\n76691 92141\n62410 86100\n4839 47294\n67379 69738\n9310 15841\n56132 58137\n42458 79623\n29532 80399\n5037 99627\n25583 90431\n59901 98508\n3769 49002\n13419 44875\n17082 23389\n22375 35191\n17209 68043\n4682 45586\n80085 92210\n22840 61365\n11248 75581\n87002 88708\n20845 79018\n550 85877\n29115 64240\n15978 93827\n58864 99052\n10138 85119\n33688 65888\n64297 92590\n21047 53413\n19925 72830\n46173 63634\n56546 85836\n30471 59592\n12983 43791\n75754 99521\n13469 23738\n37273 45252\n48025 59065\n45022 82973\n31196 47726\n7736 93441\n17267 98848\n56865 68501\n36842 44003\n26573 75647\n20466 59197\n5312 62026\n1504 24203\n10931 43337\n41642 82444\n37076 51010\n34050 65506\n18431 37350\n9344 27186\n87284 95085\n25584 78918\n12729 53948\n48144 74518\n37414 56128\n8405 74013\n7967 64677\n46019 56959\n57046 87759\n28708 66468\n61332 63698\n60143 62399\n26597 88881\n7955 72350\n63739 73911\n3197 62487\n10380 53664\n19891 63400\n597 45676\n19647 98385\n13683 85996\n43872 45606\n28388 63366\n60527 70631\n44156 64502\n81422 89528\n2477 97660\n27000 69575\n37253 46752\n36015 76575\n69965 94295\n77334 96973\n51758 86860\n3699 6271\n24251 49326\n40974 61319\n57616 69554\n8959 64852\n12573 14200\n22045 36909\n28211 42918\n46205 71205\n20835 59854\n28640 99571\n16040 29778\n14012 34097\n3731 86719\n38390 72230\n9189 57829\n14354 47970\n7987 97461\n70420 75773\n35663 87431\n71218 88067\n3540 14398\n65583 94694\n24304 51547\n5103 68064\n24429 26651\n7401 11927\n8295 26483\n71090 98967\n10049 80026\n19429 33982\n23860 98783\n354 29725\n83853 86038\n62925 66546\n14202 72408\n62526 92556\n8518 87190\n51651 94799\n64145 74585\n82101 95016\n7947 86376\n44812 53073\n33762 64778\n16762 37304\n26915 44459\n6452 22470\n51420 72320\n46232 82955\n36801 54632\n90180 95901\n34313 80611\n42606 50828\n46071 83512\n70662 72429\n17122 58122\n21955 57845\n8429 29845\n28502 48846\n73212 88779\n55288 67987\n62339 88348\n10550 48935\n44730 85644\n79539 87622\n48497 93893\n22695 30712\n91502 93722\n87674 90319\n41714 54292\n9058 15300\n3668 25483\n20041 40962\n29270 29407\n94818 99237\n15611 28399\n53391 88224\n64842 70629\n27517 82943\n10797 13803\n57935 97699\n63861 68355\n17457 46726\n9585 72730\n51369 77493\n33455 75021\n69771 93098\n3888 17216\n32850 33389\n4986 53556\n1147 82875\n43020 89476\n13769 54276\n7596 18099\n82254 88548\n42669 73227\n24483 91333\n28260 66306\n16055 42594\n38506 62241\n140 52078\n12300 74939\n11160 59255\n83602 98003\n18403 76946\n18578 24959\n82602 91222\n1975 69656\n1551 99874\n19515 45497\n57297 75361\n12558 50442\n9094 65070\n71128 81887\n17233 76180\n69764 90593\n197 44152\n17860 21624\n40079 84673\n2764 98414\n21533 83730\n28311 52071\n15343 70593\n15611 85615\n9336 56374\n13852 95034\n14828 96908\n12201 60977\n35118 94643\n2132 23108\n39610 52502\n19286 78396\n7000 71009\n22964 79830\n30470 89133\n39108 50242\n49236 60740\n7846 21364\n41918 94229\n27125 76872\n42232 71875\n700 7797\n2205 79671\n48896 75287\n54723 83407\n17164 36040\n19473 57058\n70997 97145\n17534 80665\n4913 78864\n7133 48775\n66964 85899\n14092 82507\n55080 89097\n58876 88218\n68724 71300\n41143 92955\n58902 95626\n78199 90638\n4421 20633\n3347 39973\n18742 39768\n51104 95456\n7853 86257\n44799 80576\n4284 79552\n7589 92468\n4678 87516\n20022 35406\n1063 8058\n24771 67078\n9145 39667\n49521 63929\n80839 85006\n48974 89985\n39855 55374\n36140 53761\n62653 86982\n38613 83619\n1146 95694\n61779 93842\n4270 18919\n38409 96598\n13330 23656\n51698 86508\n25971 63018\n30307 81853\n62514 68322\n68477 82092\n12103 31137\n20423 98329\n76654 97779\n58356 64480\n18992 52875\n24114 76375\n69261 82020\n11564 78039\n37046 38979\n16732 39624\n37972 45318\n3533 48552\n12745 17328\n34975 89084\n25481 26640\n4850 24988\n67143 71429\n8059 77831\n45882 46139\n2043 94669\n11661 49078\n42144 87975\n9704 96083\n50464 80465\n22364 63724\n31983 70027\n14454 86658\n45752 89676\n82777 90212\n42924 47172\n5057 56531\n33588 72735\n59978 79317\n36173 53015\n2710 32289\n3097 30841\n15370 44762\n70126 96155\n6609 44543\n9741 71049\n24307 46336\n404 3977\n6474 87798\n58065 90343\n16759 99093\n37027 81976\n78905 96226\n29340 51503\n69770 79635\n759 90800\n53672 93503\n69058 88836\n93314 95992\n30040 67173\n12926 40518\n26870 50029\n34096 65479\n48780 66909\n36707 37996\n71553 75267\n1556 8139\n47301 55181\n3788 92587\n31023 89245\n20327 71667\n1266 40864\n5196 61005\n77346 93776\n13612 41740\n51482 94286\n37254 57258\n29906 94887\n7754 96267\n46820 53069\n24685 53227\n27863 83475\n53048 55025\n26390 97415\n1645 68283\n42406 54311\n14561 40146\n53082 63347\n15362 77840\n58432 74880\n40995 97935\n20974 30791\n41935 71170\n29241 83394\n30479 90367\n27368 79641\n1961 67353\n2281 12741\n24106 52042\n58025 68875\n43941 78538\n66597 67151\n62260 71153\n21648 79548\n79540 98698\n39556 49854\n5125 73900\n83761 88384\n19855 68000\n6225 33661\n27285 39753\n80069 96497\n39052 78287\n62620 80054\n14915 81690\n23105 35953\n15218 76530\n36551 48932\n45305 97219\n16750 94740\n64799 69687\n17565 43093\n84095 95856\n8275 84894\n3016 30970\n59601 61579\n1846 64223\n54093 87545\n32261 47437\n41925 93975\n51812 63892\n10724 56016\n55236 96500\n40237 89989\n43399 75297\n53043 92086\n19236 68309\n17397 33030\n48614 94671\n22668 36344\n80781 81125\n4948 97901\n1354 40726\n26303 57585\n29613 40430\n74979 88315\n18708 73601\n5209 27435\n1252 40179\n95221 96087\n44240 77737\n62059 88002\n33582 68754\n16973 36501\n21114 44651\n48282 85055\n39925 48384\n31539 79175\n70656 97680\n9631 70313\n12681 55298\n2452 91042\n17749 39384\n15395 55649\n50220 58314\n5335 66977\n62471 68307\n191 73732\n15613 49403\n26112 45911\n4253 12745\n7505 47990\n63606 93251\n13370 85109\n77320 88116\n10573 66754\n93 19382\n32820 35992\n22868 64278\n19516 21861\n23415 77325\n21915 52834\n14092 45490\n20143 69715\n10673 83517\n12914 28457\n18910 28552\n53116 67264\n7761 71126\n8360 29226\n51046 72842\n39972 89801\n10264 70758\n30163 78531\n27229 42369\n33790 40156\n67498 92593\n70090 95815\n5502 38389\n1104 85632\n7365 72624\n57202 60504\n9142 15784\n1955 57973\n10383 16905\n21501 84420\n27572 54493\n9261 67395\n36726 70729\n15233 85021\n1209 65825\n33114 34400\n33594 70950\n13574 67343\n2483 52770\n2702 94677\n89090 98724\n90184 97379\n76008 92756\n7536 79374\n1537 14133\n22265 55083\n48602 65060\n29100 60282\n12559 22806\n51283 56925\n6742 22658\n18182 53580\n26957 56877\n39367 87436\n29467 85967\n14904 26683\n11210 12070\n34943 36586\n51879 56192\n12677 45627\n74322 78302\n74621 99099\n21864 50168\n20387 27016\n40546 77186\n9628 28409\n7868 34674\n1137 52901\n2452 51471\n30744 53731\n59322 92848\n46003 80165\n70800 96884\n11513 48211\n15088 43710\n29188 67517\n71475 77525\n5723 39596\n60257 97230\n6302 81395\n56953 83578\n17986 34093\n11633 38757\n22669 65663\n41026 96803\n5907 77460\n14714 73202\n44992 78683\n27210 34799\n28867 85006\n60014 72092\n63478 97784\n14465 42133\n48245 97339\n15948 95678\n16366 32126\n49712 72049\n68459 86696\n55351 74205\n74021 97761\n41498 60342\n10415 18705\n39136 99844\n35584 42906\n64959 70020\n21851 67420\n9523 44995\n8096 89192\n6949 40446\n93531 94233\n50616 93939\n33364 45430\n13804 36202\n85678 95230\n69537 77651\n13415 28547\n73164 74450\n40891 56087\n38729 73217\n51489 64950\n14041 71854\n47833 65241\n60475 80094\n23457 94236\n27264 76750\n7920 64985\n68366 89479\n22091 98467\n34550 37875\n18755 36098\n60132 73792\n41949 87030\n14677 67476\n14239 47028\n24351 94990\n13192 56291\n23331 76193\n74981 82677\n80563 93484\n71627 80623\n32235 37321\n30461 44689\n38711 76862\n36943 76759\n44174 91958\n3882 97328\n39619 59708\n41341 90091\n18452 96433\n60505 86797\n20941 40991\n34070 36734\n51573 79616\n63043 88345\n30165 89909\n10982 20299\n18846 74408\n8391 95619\n31317 60069\n37212 56323\n37915 48757\n11638 61748\n37345 98791\n84430 95835\n49560 78988\n54111 72218\n6955 61225\n16447 60447\n3503 75242\n14412 87200\n25112 47909\n54360 94598\n20917 66339\n19887 40039\n59872 85620\n19550 38403\n8332 89737\n27608 33655\n35364 69774\n61002 72888\n55358 64736\n18842 72683\n78537 88759\n54352 89240\n9620 73377\n23337 69205\n77483 94985\n37882 44370\n23097 93670\n37042 49983\n23267 99094\n57198 70962\n40600 70929\n58113 77479\n5125 81310\n11484 75596\n4797 67596\n16355 58357\n22460 40251\n17764 66960\n85066 98679\n2640 89109\n12396 49773\n39723 81849\n43271 59801\n35814 93915\n53303 61496\n42411 71174\n46683 72186\n82373 83668\n70256 85075\n47060 85204\n31804 78890\n26051 98675\n70710 92695\n63688 98748\n41705 97224\n50782 77671\n22725 45343\n52403 62632\n49853 83605\n23802 74246\n40697 75224\n15663 53721\n3073 57444\n12951 83966\n54161 80008\n35872 47916\n21422 51598\n48478 68669\n39521 59553\n7829 74341\n5322 30334\n69878 96229\n24865 33539\n76633 98583\n8191 43114\n9906 34729\n11710 19493\n1943 19883\n41950 81559\n33306 74513\n51690 95355\n31524 94482\n15182 27140\n93814 95494\n10820 83847\n18408 41809\n18605 97724\n7651 59004\n7963 55939\n11835 58770\n57504 97755\n34529 54776\n48652 62552\n11679 77889\n52323 81983\n10123 94911\n58656 91133\n20649 85648\n27953 61696\n43646 69560\n39515 56421\n52104 83656\n22011 97640\n89338 99287\n37457 92045\n33599 51486\n10823 67843\n18488 39183\n40907 96453\n42121 54385\n9277 49711\n82916 97679\n83528 85574\n60259 84149\n27308 55507\n86864 96290\n2396 91677\n55522 69757\n6187 79447\n39624 97092\n858 93711\n30819 87893\n46404 51137\n26268 55141\n79883 92676\n27755 50849\n9950 46083\n13378 30484\n62556 87212\n2986 21282\n21285 45636\n42425 95765\n19616 84911\n23700 60097\n60384 75675\n37544 90408\n24146 47832\n77855 89703\n89530 96877\n77236 94201\n59121 99589\n28397 94991\n16168 42476\n28870 88784\n29500 92585\n21103 23287\n8363 68200\n36436 70891\n12807 99604\n27584 95191\n57596 98412\n43284 43840\n27598 85392\n18164 22431\n59962 95692\n45389 62354\n24496 52588\n28530 35334\n65917 98177\n12931 81564\n13279 83074\n12033 43041\n60285 86261\n43425 94205\n43877 67065\n7638 81028\n1472 34838\n52075 69438\n30826 32193\n4356 62545\n61973 64886\n62337 83050\n41466 61660\n19062 33863\n51015 61923\n8520 76129\n35130 39063\n24638 57249\n22813 90221\n4254 40948\n17735 39208\n13474 83006\n71965 74974\n78773 81002\n2540 33974\n62158 79940\n15275 80627\n28788 52489\n7387 49608\n33513 81138\n24881 33105\n1861 43020\n51482 92397\n55576 55910\n68451 85264\n73354 86163\n6674 63906\n61404 83190\n10499 16781\n21145 79477\n74945 80686\n70410 86221\n6746 77620\n21815 61492\n36221 37378\n73821 84444\n84509 98536\n61438 84061\n9946 46955\n91413 93289\n29205 64934\n57918 79793\n11139 75922\n19836 38677\n17127 66860\n11589 42971\n12647 81543\n7194 72896\n21919 41500\n30325 31009\n36379 60438\n62363 63072\n31393 66681\n55401 83802\n98320 98769\n7847 64030\n27644 93018\n12167 68094\n20281 66083\n22993 39098\n83219 89220\n34101 82112\n53373 79511\n38272 89559\n85712 90796\n43084 74977\n45137 91669\n1366 27706\n9824 85561\n38314 65648\n27131 28662\n20673 39140\n27120 73832\n15491 39286\n34522 67831\n15166 78829\n47157 82471\n38394 42456\n18913 87406\n2479 49614\n30400 98234\n1192 8069\n19674 73615\n9648 71801\n13793 44465\n6787 8991\n46422 82865\n3077 41860\n35759 86300\n61803 70780\n25814 35747\n1125 19948\n31008 34201\n91508 95919\n73796 88379\n2731 15275\n83290 95653\n38198 78877\n56670 76841\n21183 37286\n39052 66822\n59081 72628\n34841 91937\n16786 62026\n68055 70569\n9868 28868\n91096 91661\n67017 74962\n24434 29261\n24868 65758\n57932 68850\n17132 95342\n2022 40215\n6293 66127\n20568 85520\n30643 67880\n21121 67763\n29336 65647\n14354 51786\n24792 31203\n26876 74831\n27141 42811\n21088 76232\n969 95132\n57879 63248\n2524 62667\n39522 62051\n37952 90508\n48988 63913\n56044 86918\n14142 22456\n22906 55097\n66161 91953\n57133 61461\n24367 27628\n13622 85666\n25788 57512\n9409 81141\n6577 78751\n51641 56286\n630 76384\n9534 78795\n42608 97129\n19208 43941\n50911 89760\n41662 45532\n3672 85413\n21879 24311\n56174 96971\n71253 95967\n45667 71509\n51736 62548\n14439 35422\n16554 89278\n38851 63730\n52309 94663\n76463 83739\n36681 49288\n65715 83945\n43813 60061\n8535 12861\n16480 73627\n27788 74908\n21629 37215\n6599 80632\n16052 81809\n15633 50579\n76789 82231\n80504 95887\n15561 64187\n22684 88117\n26761 38380\n91797 94733\n19197 82663\n50174 65444\n26925 63945\n7955 22778\n10536 84541\n55150 95462\n45606 71107\n71866 84337\n18343 69815\n61657 85261\n12514 50877\n18693 70715\n41397 94789\n13202 66471\n45564 68880\n25491 80469\n65529 77087\n4445 89432\n55594 60855\n31523 37313\n10720 15585\n33744 78817\n20655 70775\n48914 91098\n57131 64803\n56423 69810\n66487 69436\n7379 38352\n28766 52370\n42466 58294\n87960 90995\n35581 57905\n45223 62545\n12910 84272\n74777 80373\n81182 95881\n17986 32040\n67215 90361\n1910 13173\n71724 94271\n1831 65690\n51748 69913\n27406 93608\n19717 84018\n15480 75323\n80763 91211\n28014 74887\n6477 61520\n51524 88175\n30165 99540\n47981 70246\n41384 47202\n64228 85101\n59423 61299\n2088 25481\n40400 78151\n34000 99350\n92185 96433\n16340 32476\n74707 83724\n48974 65522\n39679 89930\n4664 72573\n76443 95601\n30541 96031\n94943 99699\n3696 70333\n44660 93097\n22590 52065\n13681 57027\n14746 83782\n7110 7936\n53021 66278\n1132 2216\n75606 91614\n69316 99641\n9704 54153\n13004 27923\n49321 77639\n17457 36186\n8607 33406\n34812 70831\n24109 50002\n81093 81548\n23847 74326\n7615 94148\n21353 91642\n14294 62867\n36120 63372\n1598 95190\n29339 29806\n20862 80330\n58229 72430\n12335 37738\n68319 82083\n50377 97795\n1545 5557\n19503 78075\n61921 94785\n34773 95710\n1956 76790\n63861 96505\n26983 38314\n70461 73216\n38640 64558\n23971 99914\n21699 37078\n1309 14465\n23874 90509\n53795 56798\n51892 59210\n59250 91831\n27357 53494\n16665 91567\n63486 95884\n86620 89372\n255 6224\n9478 16699\n16407 77220\n73834 74184\n18228 42275\n18905 81730\n64689 83470\n46493 92836\n31468 38126\n64338 80444\n84566 93652\n77120 97744\n17722 72773\n53189 57091\n346 9150\n18257 74876\n68896 99425\n8841 9463\n64486 78771\n29654 76435\n48936 52840\n70020 75750\n25369 83912\n6280 9208\n4930 47536\n25216 94308\n68956 79048\n38057 76796\n32727 76386\n48945 79337\n25056 93038\n38440 52670\n8903 18084\n10444 38019\n16867 33910\n6926 51210\n27860 58691\n33710 66102\n28490 49635\n7753 59740\n43173 85913\n55561 71366\n24510 73357\n34655 51611\n77667 84163\n19566 23229\n39658 94550\n14651 73115\n26067 54030\n32082 78190\n63787 64205\n4318 89270\n35853 62030\n73227 99916\n17229 83038\n63224 63593\n34809 66814\n2851 79921\n22156 42570\n35342 91531\n22898 50987\n71561 73947\n55112 89047\n49132 85306\n20560 35979\n18430 23547\n5179 81753\n63068 88223\n47615 50334\n37668 61709\n15499 91071\n6226 79719\n1063 27824\n9930 24919\n1240 80146\n21252 82902\n41482 59745\n15451 41893\n46827 70962\n4710 43613\n12850 87372\n64484 67496\n31115 83480\n36798 88986\n84994 95794\n81982 83941\n42847 49575\n68859 88321\n10593 51237\n66624 80476\n50109 90463\n66249 84352\n26142 68024\n51341 98603\n7615 64156\n28490 52040\n9458 21272\n28978 83630\n26003 81243\n67604 97655\n5865 66256\n4995 90278\n23918 83858\n39600 91289\n35598 41978\n41442 73939\n4756 47188\n4931 61216\n42226 43484\n27718 28448\n41329 60826\n3628 28413\n4797 56756\n50 54748\n50636 91892\n20279 96466\n23033 79668\n70103 80010\n6769 31040\n39022 51208\n681 11626\n25974 68965\n35972 72834\n21305 36769\n63213 83102\n35271 83521\n24523 44336\n57329 74825\n65486 79599\n3911 23215\n19223 38640\n9200 11851\n41482 90356\n88496 99962\n46482 78850\n63136 65127\n25382 44723\n49293 81945\n24103 68688\n24715 56246\n36950 51179\n66336 82079\n34755 53740\n30281 49010\n10874 13026\n77197 85057\n39218 56083\n12066 37808\n46342 94638\n75257 89122\n51379 52835\n74055 89978\n8506 54340\n16990 47381\n22442 56732\n18662 69635\n3812 77328\n35485 70392\n45310 75436\n3519 20218\n75667 96102\n43989 53658\n64688 88490\n82567 91190\n38990 81500\n10967 59070\n31146 42949\n9428 91558\n36972 58524\n63635 64447\n76777 78812\n18515 71423\n35807 51081\n11333 44637\n13790 81075\n6547 29729\n361 12647\n31887 94350\n24823 43125\n33913 67718\n6766 52399\n49767 70863\n72965 76545\n343 63843\n16042 73256\n75892 92761\n72463 74575\n91016 95801\n46076 49203\n45616 69445\n24764 45424\n92194 93823\n1280 24841\n67299 81663\n5693 63752\n8840 82924\n16824 50382\n21446 54921\n27535 78171\n46083 89066\n13671 28321\n66595 87062\n77979 78845\n26901 36274\n87276 99300\n43886 93365\n67323 90397\n543 82603\n9794 10720\n21260 48188\n8658 92765\n1777 77672\n10948 80941\n41264 57568\n17451 32787\n60130 99434\n10217 87369\n51141 91291\n69925 99501\n75106 95785\n25515 52904\n44985 55389\n35396 62039\n2653 16971\n20409 70940\n53691 64707\n3755 56801\n66913 97063\n16811 43054\n12473 50254\n31553 38987\n58056 95715\n18239 38427\n38617 56371\n14084 82621\n47160 87704\n33657 49494\n9114 84189\n2266 26202\n12716 39536\n45766 75909\n36105 79176\n9065 36812\n15550 38556\n59424 61629\n10414 60240\n56191 78501\n21419 71219\n28506 56316\n4298 85249\n2584 17040\n31555 42649\n19410 62920\n20695 38769\n20092 24090\n20680 68860\n36636 40255\n1207 19622\n26893 91617\n29093 60350\n27741 86878\n44334 98608\n18038 26772\n8495 9987\n27411 44555\n29162 45079\n31047 60137\n31546 59106\n2633 19638\n39458 78476\n10224 37203\n17769 99043\n40017 62903\n13142 82137\n18451 48398\n41755 88902\n32303 82473\n160 83221\n75575 92829\n24925 51039\n2867 11357\n5875 78909\n78761 87336\n16608 25484\n11049 62475\n30166 88987\n17609 72316\n2262 7951\n3220 30443\n25372 49459\n36022 55489\n19666 71740\n34136 56707\n47286 66963\n18862 32814\n46292 53181\n30748 73024\n3790 76133\n1951 8406\n9204 45319\n30548 39116\n2567 67679\n19083 91935\n46838 78769\n5791 10985\n20362 35092\n45238 91079\n47670 68201\n34821 65233\n31481 38719\n26430 94303\n1489 80054\n15281 55604\n17447 77052\n21656 92752\n65738 80843\n42922 60219\n22099 70598\n66497 69068\n89095 95001\n47424 79010\n37013 75033\n37984 74658\n22988 45068\n62684 91599\n83116 95587\n60683 90477\n3370 81131\n23058 82964\n64122 65709\n53876 60731\n64488 95408\n46620 48264\n60089 73917\n1863 15454\n57481 79698\n36948 36993\n38715 85302\n52618 59832\n26453 38352\n28914 59884\n18908 20282\n27736 51870\n82042 95641\n36133 60564\n6780 64303\n58568 81872\n21857 70452\n29866 66983\n63012 68362\n25924 68324\n24703 66896\n41829 43481\n37865 52314\n29544 70852\n48782 86635\n18775 97653\n14855 31646\n43305 98749\n72333 73566\n41483 95575\n26787 72480\n8010 21390\n53798 57922\n39933 43117\n62980 73548\n30458 78836\n48834 72248\n13855 99810\n26209 36472\n7077 15715\n52292 69552\n54528 80907\n3390 61061\n59559 96356\n24476 94202\n68125 75780\n2723 84813\n2676 11985\n5621 52472\n60688 64143\n16646 96781\n8628 43744\n1212 26693\n31279 35581\n48798 72445\n64776 79463\n733 36164\n4833 85908\n59576 64247\n54772 82508\n24337 40279\n30568 38124\n21058 62099\n16373 84996\n37448 94296\n85109 90115\n694 2766\n83816 97745\n63666 80117\n5379 93083\n12906 29110\n22725 49647\n65142 91948\n66923 89308\n2797 81312\n6799 52272\n55815 88463\n24862 98200\n14113 41317\n417 20877\n27433 33847\n4775 79999\n12108 90702\n79079 88432\n5907 80148\n10175 62010\n19124 95632\n6311 47044\n38164 96131\n1809 55880\n4684 84868\n28764 69113\n6171 55084\n17835 25682\n51868 68056\n1663 81257\n41861 45349\n7139 72851\n71500 75837\n72565 84314\n25532 58778\n8727 13486\n28794 51576\n1161 76499\n10540 58660\n6036 38983\n10052 31993\n40410 54875\n32353 61311\n13859 62270\n49901 49917\n87059 93008\n497 63614\n60467 93482\n44913 71448\n22773 35106\n28286 61405\n35005 72332\n63272 77586\n11332 44552\n21396 91212\n38063 74113\n61703 62011\n65545 78640\n30121 74176\n88331 89933\n31536 57301\n35883 77031\n9642 88074\n9026 97187\n14238 36682\n45329 81346\n41665 88070\n3908 47929\n17713 42888\n54864 97899\n40189 95014\n939 46923\n65509 81130\n4819 26515\n81520 81828\n43255 55046\n25707 67815\n35425 90497\n8656 36295\n53273 79256\n57635 81817\n8700 20024\n3286 49736\n55793 82491\n50061 82078\n10884 55362\n56731 93744\n42736 92048\n45530 62500\n42103 87762\n55493 73921\n32269 42830\n71780 87114\n24436 30544\n67843 72073\n73065 77351\n14004 42641\n32269 35841\n13397 37748\n33872 48780\n23915 31153\n87549 99678\n86465 93099\n10615 35431\n85015 93299\n15810 41585\n7014 77550\n56144 62880\n50387 72601\n54316 67207\n2647 36840\n33989 97395\n741 95145\n46364 59729\n13314 45568\n30118 36366\n17131 23533\n25825 93552\n25792 92028\n1743 5955\n7500 13325\n24437 51337\n89 71014\n11578 68150\n8191 51300\n67116 88892\n42580 54435\n19477 89298\n40868 54584\n31221 73936\n24218 24337\n32004 73146\n17433 60469\n1893 18677\n11950 41277\n45692 87307\n65391 94136\n14954 46159\n22394 80078\n23363 62584\n56243 95058\n42806 58489\n29789 78976\n30819 85856\n16133 23724\n6361 21748\n51051 62714\n52576 80871\n10020 30477\n25684 97657\n1297 88385\n13433 68004\n38269 45516\n20938 83992\n11623 44042\n25321 42527\n25820 71793\n14756 48298\n537 74265\n44152 51860\n87 65297\n6956 10784\n29110 62196\n38038 92007\n49833 89389\n42935 75143\n9694 81676\n87524 94919\n3220 86551\n52010 70546\n4121 26428\n18849 83698\n20697 70600\n23268 38202\n48810 79627\n23141 71352\n85697 98928\n75283 90298\n11639 59306\n1378 99106\n43941 83213\n31624 54824\n34041 81771\n64676 99796\n46141 78837\n1551 21266\n13458 44604\n24818 98401\n15816 74116\n22571 80032\n25031 60070\n21442 26250\n23048 28583\n7698 66034\n63756 82257\n61874 76205\n45899 96408\n53304 74532\n17215 55561\n30094 80060\n54590 88909\n4464 37603\n12796 92880\n29217 51387\n3000 54254\n34727 65842\n60352 79438\n39752 59570\n3382 15386\n25656 78325\n39877 67570\n66947 75242\n44814 91079\n29723 68806\n4001 58461\n26815 28085\n23310 86352\n6943 17156\n8558 92196\n13891 15666\n40548 52906\n10365 25133\n36693 83047\n44840 91749\n21979 25878\n46911 63123\n4050 61649\n87226 90646\n18445 35718\n46787 89852\n48169 52586\n10764 81000\n8432 48307\n64647 76618\n24500 88471\n13207 27672\n6305 77652\n5687 29585\n23058 92623\n21372 84369\n45623 47125\n72967 89138\n13235 14953\n9146 38237\n30547 77357\n11875 46593\n30117 58922\n40130 78846\n41976 73336\n4168 71444\n5380 49227\n6329 36379\n55380 71705\n76646 90576\n11691 59281\n58199 64326\n39245 40184\n1678 81924\n369 48100\n11803 79228\n40681 71320\n26270 60225\n7935 65681\n50367 64202\n5698 15026\n60115 65220\n13883 48512\n2966 73783\n60968 86386\n22951 82022\n32268 72426\n44584 49308\n49679 83352\n75471 97582\n41439 71791\n61400 95789\n11749 13800\n42303 70544\n30437 52776\n85541 98557\n37056 98644\n88957 95573\n53329 71723\n142 99248\n9171 98393\n51693 80652\n46698 69974\n27141 66833\n40784 95244\n21422 27337\n63518 68636\n36487 78936\n59276 78175\n38218 62793\n29381 99245\n3897 75773\n47505 90638\n58562 80548\n19068 33299\n97029 99783\n4009 47007\n10412 81988\n4609 46023\n21246 64336\n15979 27667\n46175 55585\n24286 61881\n9900 33381\n18852 72947\n84524 90041\n6856 22167\n22056 90463\n55488 82107\n1790 70858\n12493 52469\n18904 35033\n10535 30340\n64906 88499\n55798 73180\n59244 76071\n4512 53086\n52245 69032\n90759 93157\n1860 93848\n8761 16534\n19971 86066\n39272 41097\n25540 83525\n21114 43507\n22177 24921\n6988 50607\n6427 75381\n29230 79272\n57532 68746\n695 2649\n2534 48556\n14437 17996\n66094 94306\n77515 87860\n1404 20561\n2014 16682\n28305 86560\n81931 99931\n26562 55585\n51000 75719\n18638 59109\n5744 75302\n53079 74454\n51784 96704\n31294 94397\n63450 65786\n40714 98631\n64969 89707\n83214 96819\n82518 94324\n16455 91803\n67890 74197\n52125 85366\n15798 89887\n69229 87166\n73044 92571\n13370 97925\n8505 68716\n68515 85766\n48067 68770\n43768 98917\n68 67871\n15519 44420\n47072 48316\n12536 76719\n30571 92058\n20953 64088\n49546 82699\n19027 25493\n44651 63734\n20285 79888\n38634 47521\n42964 67885\n11126 67157\n312 93783\n38674 64799\n18893 56104\n21534 93328\n15817 22817\n33047 35827\n41309 86636\n6222 6724\n26376 74985\n54665 69546\n54728 80769\n81050 85786\n70194 92076\n5071 26745\n24479 88094\n5082 58256\n19619 95463\n7207 88849\n52343 77018\n32700 47637\n12267 92126\n10828 28310\n67082 72194\n15722 93921\n4141 93779\n35075 66062\n18062 67718\n47311 75486\n5325 19809\n72966 99866\n28109 98388\n57949 70420\n10938 57766\n22583 37377\n45693 81697\n8916 64200\n72358 95690\n36878 94216\n9542 24132\n12553 37181\n56541 69026\n55488 67856\n22055 50248\n29547 92559\n3155 47681\n12380 92081\n80662 87683\n64138 81522\n65465 79925\n43606 47269\n32115 76879\n16704 80765\n20674 50066\n22647 58348\n12530 18714\n49596 99687\n75492 90353\n51163 60385\n3694 91828\n10853 39299\n49000 78859\n30171 58686\n54688 96423\n73917 80931\n10859 17117\n16382 59093\n69569 97552\n34657 68988\n26061 73509\n61021 92104\n14815 98918\n9361 78943\n35455 43725\n15604 94324\n8618 96025\n12189 34357\n54647 73410\n16383 49842\n20297 97577\n33775 34286\n63335 74263\n77874 89887\n15930 80579\n14168 81827\n9642 13596\n18942 95186\n18781 88379\n21416 21544\n64193 79225\n7708 75509\n46533 66745\n21591 47513\n31569 39276\n1123 58957\n7412 24811\n70593 77752\n51817 99212\n50233 61492\n2248 34869\n70385 83022\n25230 40362\n18524 20105\n13296 63417\n35516 36472\n62625 68431\n10312 15824\n19333 63450\n18958 47199\n29844 57679\n10886 70041\n11545 85288\n79669 95759\n37090 81606\n26421 47338\n4751 73580\n6184 86844\n26230 33863\n60833 73327\n68399 85575\n47983 71552\n56162 98922\n43907 65543\n17835 18947\n58782 93050\n21656 73481\n96609 99620\n71669 98139\n33334 42215\n56149 61081\n58049 72531\n77532 93325\n37884 94447\n24464 90694\n20110 30925\n35724 89763\n33623 93976\n28617 67127\n13641 76355\n12425 80905\n72948 81973\n52914 80940\n50826 56534\n12317 66257\n23616 59440\n69039 83486\n9502 35390\n6875 28515\n20104 97614\n39033 43509\n21621 81575\n44858 91609\n28351 41054\n51529 83149\n45807 92677\n12913 41280\n35442 54928\n26119 50601\n7952 78876\n29381 64937\n10186 35159\n63335 93489\n48070 96698\n9489 66232\n33498 39891\n73115 86989\n49964 50227\n3608 44747\n63435 94186\n41879 58695\n13359 92676\n28599 32109\n33083 71103\n17491 79330\n27624 82973\n18365 97197\n26666 56214\n25173 81491\n69156 92736\n48263 96545\n34291 94045\n25547 72635\n22221 37974\n12549 13560\n34049 52547\n48191 50217\n76421 95192\n42109 79916\n55532 85322\n76228 86805\n35684 65851\n29814 98210\n43945 99965\n39639 86489\n10583 23969\n6733 78923\n31960 52166\n82492 82881\n23329 24153\n35307 45388\n84795 93869\n17363 77583\n2778 61151\n46171 89688\n18890 62258\n49049 79138\n30367 35948\n56231 97194\n1508 73785\n35096 55923\n6344 19302\n22067 96004\n6451 34457\n6883 53590\n21257 64075\n76536 76661\n52553 61079\n49252 78450\n76868 98751\n52202 78087\n35479 92947\n42751 51003\n12178 76616\n52764 75715\n72508 74239\n29693 93573\n67404 90649\n29281 32960\n71065 85982\n12197 19240\n21330 73216\n78899 90189\n49108 58542\n1161 51057\n51673 76196\n31895 91826\n21661 29967\n13995 83408\n39094 43425\n3838 19867\n94134 96280\n64506 73149\n6096 70552\n66455 80428\n14649 18868\n20433 24656\n50046 79658\n45073 71636\n23297 45714\n3852 94030\n20149 46515\n12746 90101\n16549 33060\n16066 36371\n30591 42850\n74807 87757\n22970 66352\n24440 47428\n7508 18765\n89120 98277\n4875 23259\n68784 80540\n25664 31058\n22171 68102\n27342 85118\n2310 99428\n49660 62426\n71513 86169\n11423 15904\n89822 93709\n51706 52825\n33875 96478\n11074 49532\n35192 63933\n18322 60912\n46895 57469\n8061 84752\n51011 93342\n22813 24577\n58625 88940\n2933 62336\n18306 89524\n48087 59454\n67943 70341\n31519 89841\n48647 54503\n4457 59108\n31582 35889\n82710 89988\n24649 30281\n12782 22114\n18828 89691\n21598 93184\n4322 9231\n23355 32824\n54740 69340\n28159 42778\n25644 73727\n28978 89310\n44777 90682\n60551 74715\n44190 87019\n6811 19158\n9384 33542\n16749 93352\n43787 59780\n10870 61485\n72867 94553\n2391 28802\n9044 19453\n61743 79703\n46501 79430\n38564 67094\n24881 29323\n69857 79462\n24676 43752\n69323 70810\n3901 59008\n1102 45138\n9754 52999\n58723 81673\n927 48177\n3361 89091\n25781 39690\n69167 78103\n1362 72127\n236 53019\n4757 27616\n12946 38251\n11517 49150\n76369 80723\n6555 53230\n10462 15933\n40600 74371\n27333 73945\n23157 92931\n52137 78937\n5662 28328\n19196 83303\n41761 49370\n41144 63547\n56344 69683\n11930 47784\n71004 87397\n74781 82892\n33829 89702\n1398 14024\n18272 18651\n29364 83728\n22614 79959\n35307 37618\n30682 75035\n40065 74256\n69983 86056\n74907 93322\n8809 68365\n31654 49165\n39615 87765\n25774 89081\n2609 29528\n54339 81141\n52904 85649\n16535 69184\n53949 55626\n16213 75685\n39813 94897\n12081 99062\n55212 84810\n30683 78600\n63292 79764\n47754 90566\n2184 2712\n41767 86785\n22366 31490\n7247 24979\n49972 64577\n4532 24236\n12213 46209\n8475 78838\n5108 22139\n27417 70587\n54933 97341\n35177 68434\n11080 64556\n1270 6786\n26401 82638\n62210 78300\n19188 94775\n55490 58594\n2085 16745\n9428 10315\n14016 92750\n5370 69231\n8182 12544\n5710 96109\n3456 82973\n28306 70789\n34484 47527\n66452 99383\n75341 79642\n29845 76245\n42018 57010\n10427 46307\n10442 44391\n7229 89897\n32349 75680\n69431 75082\n24530 67654\n32971 41875\n65562 90971\n59416 83643\n55286 72166\n1622 28690\n16939 34046\n23990 25112\n74865 90380\n42098 70359\n73061 80793\n59991 76079\n47882 91669\n21867 59749\n47490 81611\n71254 90708\n3686 35060\n40837 57363\n9647 87857\n15982 65925\n16026 27349\n11462 51449\n12039 40135\n35130 71302\n44993 53717\n3981 55933\n257 44765\n32350 97884\n60943 90836\n9100 66610\n79486 94558\n82454 97483\n4163 76739\n15981 75932\n8838 96324\n24025 73749\n30668 71109\n15445 29964\n65297 89864\n23543 38983\n21388 60937\n10678 51355\n7351 69987\n6032 39369\n29742 82005\n35536 82872\n38584 52804\n8493 63820\n8657 68121\n57348 89341\n92780 95588\n64926 72778\n9408 80795\n45799 77160\n335 97501\n47546 65030\n2872 97620\n39647 57383\n4157 83790\n51999 88109\n50191 87689\n4109 58101\n507 46291\n344 85432\n10418 78682\n43891 50464\n55446 78590\n7284 51388\n27982 50431\n15300 91389\n783 14998\n2732 22164\n35865 89257\n83084 85447\n14287 92355\n17085 52036\n43259 51079\n75233 82934\n8960 87644\n40843 82711\n17787 39628\n19145 23342\n26078 72821\n39236 54564\n26497 52055\n13428 84591\n14880 66634\n9570 62618\n51801 89000\n59470 89404\n33301 63071\n60759 95624\n68658 85975\n26894 50453\n61308 91108\n17131 24995\n28194 63270\n32058 46137\n16860 32212\n46668 72639\n29303 99915\n4453 77110\n16144 90073\n17254 60330\n50012 80930\n32154 97668\n42057 76348\n3690 17334\n61373 68413\n55010 81010\n78268 87270\n46491 72991\n50401 78494\n59794 69980\n1110 38264\n38375 53398\n57640 75369\n34169 42637\n41856 68387\n10590 64678\n26318 96740\n11361 48291\n47021 50534\n31192 76796\n34979 64334\n40847 56341\n27619 54555\n94535 99385\n53354 64289\n39715 58697\n23541 70857\n2255 87106\n41748 46567\n67102 93966\n61937 74191\n78623 82369\n1822 18917\n33671 88719\n4583 32144\n61963 72361\n20449 65455\n34596 41950\n37132 81874\n50512 56920\n44917 98246\n40316 55134\n83604 87632\n8457 68087\n55860 95482\n47606 98878\n43727 49526\n24594 89707\n28377 29699\n79087 87063\n27455 64797\n339 83757\n40232 84167\n15987 25390\n5497 71370\n55920 70174\n40502 56733\n52712 99845\n20397 35225\n9326 14279\n95273 99751\n67929 83834\n65255 83778\n81960 99220\n51574 97505\n70573 93963\n36115 59429\n15967 63732\n33488 98231\n8641 87018\n61391 77572\n43325 55765\n306 69595\n49856 79155\n62267 71114\n75931 87819\n9219 77339\n46771 60590\n72132 88175\n63795 82044\n30469 47227\n75800 86368\n17803 60362\n51574 83680\n78 61989\n17572 55218\n3502 18787\n49059 89777\n31132 88200\n47112 68153\n63721 75287\n63024 63980\n27530 74533\n78334 81849\n23617 46434\n4922 73053\n70127 84872\n8995 95017\n1021 88207\n12985 37586\n91728 97903\n5221 59232\n27175 47588\n18096 74265\n44715 68919\n6320 62166\n11932 91638\n477 39650\n24803 26471\n46709 78366\n27369 43451\n66181 98344\n20843 77720\n7176 66925\n3196 22920\n55045 67966\n26567 47453\n48670 64836\n62769 71498\n66070 71666\n67444 99399\n41445 66468\n23697 75311\n76929 98920\n13181 80187\n32204 53860\n54724 94933\n41263 66717\n22069 79203\n15701 52987\n14385 76203\n36561 93823\n6314 55946\n24765 25869\n575 84148\n18280 85456\n41036 79311\n53065 94811\n66065 83373\n27594 84856\n30565 33965\n73930 95581\n15646 74015\n13442 66461\n61796 74148\n21579 90834\n12273 80461\n38110 58874\n82144 97106\n74655 85536\n668 82272\n6688 67220\n48969 78618\n2944 16661\n16790 45137\n15602 92570\n49663 69665\n50359 69061\n37145 95632\n70016 76071\n14383 32134\n88355 95453\n16243 54848\n15607 59406\n31057 55078\n5100 22775\n59247 97005\n14781 22567\n72555 84165\n22590 35255\n16994 63720\n10819 48398\n24191 27756\n19190 51949\n49951 60462\n56443 87020\n37882 56178\n17621 58667\n6750 70176\n24189 65701\n38641 88764\n24542 71188\n30945 76715\n47842 79902\n58146 68989\n38401 44812\n28302 93124\n7678 99889\n10763 30441\n3056 68935\n39115 58910\n12866 54142\n18216 25289\n12403 36422\n3719 13874\n87940 91526\n15180 33690\n14345 68326\n82990 90622\n69280 96006\n13746 66147\n57099 81097\n68675 95157\n29891 65254\n35900 69458\n28523 91970\n1902 57306\n20608 95761\n51937 62213\n49643 52475\n26118 41894\n43589 48898\n19431 37642\n6605 30524\n25076 28516\n70624 96814\n15222 41349\n26110 73042\n37339 72164\n41279 85061\n18456 25048\n14105 65808\n26388 31911\n77028 87499\n87383 90015\n24265 39983\n1863 74117\n21776 22766\n61903 80979\n16281 26339\n47267 49845\n23647 64503\n10778 84524\n26489 56125\n6420 62528\n72855 98341\n35088 56803\n25120 44756\n48158 68119\n82873 96624\n78445 81459\n45409 58689\n23996 99772\n26689 42343\n22449 50013\n37074 49159\n65836 86289\n65353 93538\n38998 98032\n4534 79879\n24156 49992\n30762 63553\n2661 22938\n5282 43199\n22475 41827\n52841 99766\n13327 96312\n33564 58828\n48148 89737\n2560 62056\n9571 31698\n36684 56575\n54016 94013\n54974 85124\n32378 59376\n45089 89611\n25797 64768\n89907 92387\n79018 96372\n22434 66505\n32234 50521\n34467 36687\n48349 52141\n68273 93779\n5276 92899\n34427 51273\n16546 77611\n6569 27705\n2870 23789\n73700 77706\n20229 36094\n37106 51251\n17587 25809\n88557 99951\n23355 65181\n10988 54465\n27296 99694\n53132 98685\n27372 53597\n17421 86374\n20725 79711\n64307 96969\n7953 14076\n1068 55641\n67613 94658\n37480 52861\n42155 99666\n56239 85095\n3600 27643\n37979 53130\n21071 26598\n9567 69482\n45461 50065\n94220 95053\n41375 71132\n38554 94628\n54636 54877\n10779 57941\n15021 82439\n3942 33015\n8778 94653\n34823 94305\n36047 62489\n75817 97127\n31820 85351\n49523 92345\n5224 46294\n64957 75934\n27113 90860\n55251 80874\n61255 73030\n60034 97492\n38493 88020\n59166 66265\n64404 72783\n27155 68189\n23825 54066\n16274 66093\n10302 84981\n31238 90925\n17054 41640\n3304 4198\n42785 62687\n37885 81005\n45158 90957\n58721 59237\n20902 89657\n82999 89729\n56171 84106\n17395 42957\n49012 96926\n61860 78038\n20367 68934\n21590 75505\n80454 98043\n22007 74703\n1554 61573\n47604 98971\n5031 97380\n51731 98325\n38149 73946\n30676 83473\n51190 97573\n29421 30871\n91937 99909\n9274 54681\n54562 95533\n46158 69526\n12958 92567\n26196 41324\n39420 63133\n25127 41173\n11518 39560\n24465 44628\n71183 91339\n20345 93143\n80085 80600\n33072 82720\n40764 87040\n15240 29668\n11995 41777\n19442 24463\n2494 64373\n89814 95103\n60135 85583\n4237 92220\n15110 86540\n33134 93270\n65955 75235\n20677 75984\n12439 89146\n34817 58822\n8755 83606\n53434 72140\n24676 25250\n12592 58120\n55954 65935\n7073 89408\n9705 39061\n64696 95363\n2695 62457\n16671 70180\n60287 66049\n33631 46665\n54046 61938\n31328 46421\n55705 94587\n89878 92681\n17583 50099\n21407 63857\n50510 78862\n67004 76223\n29167 82520\n16877 42929\n26313 68397\n4801 96487\n31193 91695\n9820 13257\n50673 70832\n44058 62066\n29150 89424\n23608 84917\n22969 99393\n18653 85186\n11949 94459\n2101 54672\n9657 73547\n74675 84242\n91828 98261\n20414 62889\n8827 44353\n22819 84300\n20476 36112\n17120 86812\n19818 48120\n9485 22885\n4839 65980\n16158 45752\n37757 43264\n2162 21461\n28157 99545\n11875 79347\n79896 92994\n47555 89658\n23058 32015\n90255 99637\n57975 98703\n17707 44382\n1169 59044\n43780 74362\n6484 94064\n12715 22884\n25055 77106\n61461 67544\n5427 16485\n59020 68875\n89916 93944\n19255 64073\n43408 83798\n8499 12195\n27879 95390\n47980 49515\n32523 85250\n26633 67654\n45567 72223\n31415 51884\n12332 86575\n47596 85461\n9462 38488\n11652 56090\n75712 94942\n35443 94174\n14047 29141\n155 30490\n6225 40373\n27843 78683\n23406 48198\n36048 68297\n73379 80558\n22113 56609\n14205 69133\n33187 86465\n44745 93834\n4003 99764\n26975 42990\n24983 54781\n8799 72353\n44303 69303\n1945 87401\n9807 67168\n15181 95320\n79083 97282\n59242 71304\n31036 49342\n4487 65678\n46094 76436\n31156 53155\n6712 49866\n60727 84738\n55126 97953\n47677 60583\n31348 44433\n59800 61437\n11963 41491\n32435 40640\n20999 69445\n50757 99133\n34944 76857\n56831 64154\n13920 71886\n18473 93262\n75106 93459\n21380 72047\n21640 68127\n22009 37127\n589 66230\n52022 64592\n43270 79679\n52175 70851\n55562 92108\n28011 69293\n21286 68600\n69270 69849\n19238 52526\n13517 51720\n77503 88250\n14658 49783\n36185 53358\n59981 82986\n51709 67942\n23175 96898\n37058 86073\n45725 59985\n52609 58021\n9903 27836\n51126 81469\n13014 66478\n57475 67524\n16213 47185\n29499 53445\n11769 92701\n11339 33533\n77628 90556\n5726 90824\n27741 66779\n61021 80029\n8566 30541\n53715 95981\n7812 19195\n51615 96178\n12069 82679\n50025 58209\n9116 16346\n3878 59827\n41721 43957\n22747 67657\n42315 61859\n12463 23331\n49809 94862\n7810 16536\n40266 76167\n52534 95010\n14408 65383\n78902 85363\n43323 75289\n20427 23490\n8227 29132\n22323 70762\n4454 80427\n15598 66853\n21830 95065\n61476 99116\n20574 52374\n21574 23258\n96299 99377\n7238 82597\n6081 8098\n35317 97039\n90243 93128\n5548 73440\n16485 67037\n9390 80352\n28089 61864\n20708 67360\n54197 94626\n86455 98499\n17405 31580\n226 77540\n20242 47487\n28523 65086\n5930 15781\n61860 78668\n61325 90023\n54549 67372\n18668 32867\n50592 53182\n17845 59670\n19516 88984\n2526 4158\n37349 70396\n21911 48381\n13694 13939\n37833 86281\n51775 79371\n36214 94518\n1189 80437\n5592 93040\n22806 52399\n10244 50398\n26650 37593\n16841 65053\n23746 47820\n61035 65371\n77031 94317\n42944 96814\n37377 37925\n58952 66884\n2714 70973\n18240 85993\n65 608\n75615 97228\n44985 84276\n23382 66636\n18922 87937\n15534 85148\n7962 45687\n27691 93631\n8521 43697\n77145 90502\n781 76542\n25853 44255\n14924 76220\n38943 64119\n58072 62769\n59239 92624\n30218 32717\n12963 24473\n73976 92975\n64485 73655\n50271 79127\n32268 61720\n69889 79004\n55354 55491\n47472 94969\n22502 87942\n58308 71670\n31162 63606\n88529 99799\n25272 98281\n17728 39167\n74839 81658\n14737 68621\n35082 92545\n2769 52398\n33170 87767\n79827 98605\n17217 41647\n23892 78523\n21111 50593\n45410 77746\n22142 44931\n9818 80384\n5553 6641\n4757 27759\n12777 90524\n22695 67835\n21704 88650\n18323 88343\n13540 49394\n3870 21724\n50167 64552\n14664 71861\n2066 77343\n12923 76653\n18345 44943\n8788 58271\n24056 70583\n10249 41658\n82881 90318\n35610 64530\n69467 91369\n38916 91483\n28243 33376\n51398 68752\n22244 60272\n3380 56992\n5621 85681\n8768 68549\n34680 45177\n43364 54373\n79862 91102\n43631 88969\n98078 98559\n24141 87003\n43130 79468\n57346 95445\n81610 85601\n28695 72630\n58862 68085\n77418 93936\n4950 13576\n15617 41268\n24941 93666\n9317 93684\n10918 43007\n45361 78568\n52 17912\n63167 87263\n76491 90172\n38925 97674\n55310 99962\n10050 56372\n18694 45568\n60384 75031\n47604 89660\n35658 62380\n92147 94612\n41986 65938\n11032 28801\n3593 89614\n31033 35805\n50876 89734\n22502 59520\n1957 23343\n28164 68723\n47310 86845\n53349 70623\n40925 94624\n2879 97120\n8840 61949\n44696 55926\n7627 54966\n4110 73446\n56543 59860\n53839 90279\n18793 92343\n28824 31387\n49614 59721\n9466 79575\n17051 54631\n46487 85058\n11264 84905\n21960 74083\n42329 62459\n31441 58686\n24000 72935\n69553 77700\n32004 59980\n59678 84547\n27656 69812\n46076 64426\n17639 71438\n31073 66543\n15006 56175\n40834 93517\n37926 65439\n63934 73339\n8739 61698\n46072 65174\n30449 35829\n19632 47006\n7201 20596\n24172 95793\n2258 23874\n9878 14338\n78483 85696\n1650 10365\n59271 87607\n35853 74871\n2032 22584\n50656 76245\n35590 58538\n26112 49297\n30759 91524\n17443 31083\n20294 21572\n58246 77844\n3131 43108\n42323 53635\n23457 42803\n20819 58351\n5489 40297\n12248 94034\n6845 25228\n15070 73973\n5670 8833\n11654 33968\n28234 96051\n23962 74051\n31568 86761\n6575 26041\n11742 14520\n3946 42550\n4782 55312\n13265 61125\n32645 96422\n7156 13251\n21505 84593\n83717 92752\n27520 35299\n56745 58344\n68516 80975\n33058 71249\n32969 37338\n7254 12189\n6454 54629\n4644 76886\n29471 78124\n53733 68772\n26807 33629\n51791 74442\n73601 94307\n29515 69387\n20519 39108\n7388 58454\n291 67992\n66921 88546\n3964 84068\n29432 91631\n12251 18287\n13853 82447\n23957 35565\n9083 16360\n35525 56210\n3051 95632\n49285 75372\n14182 26750\n19906 49949\n75135 96753\n19186 83085\n46913 52455\n968 72588\n28107 98180\n44508 87230\n13477 39868\n9697 26233\n67529 95057\n43575 83289\n41378 62988\n66144 83484\n13216 74173\n12352 39833\n89363 89801\n16285 96039\n63457 91794\n53284 93850\n94431 95135\n48157 84896\n62839 73426\n9668 18319\n18518 33238\n44920 95593\n37173 48148\n42295 78103\n7738 42217\n57129 87207\n74948 75416\n12713 27599\n24505 72551\n4853 91918\n19996 42048\n13496 82049\n40568 99801\n61743 96577\n3871 12910\n25570 31568\n23869 72882\n47751 49442\n35609 53548\n14478 25290\n35836 58850\n29008 50524\n37334 63429\n58844 81959\n22100 74841\n77210 91348\n16421 53561\n40531 88241\n5295 63727\n37212 79327\n30199 73558\n21247 58003\n658 61109\n1831 22549\n46767 65382\n19064 85190\n12247 30197\n16556 69949\n33030 83677\n11827 54311\n82536 83492\n63209 87605\n22573 87601\n9362 49799\n21584 34077\n40576 43891\n31452 80192\n24110 58728\n8281 41270\n27892 51097\n10628 17877\n6372 23607\n5757 67419\n70401 93084\n11806 52255\n17214 34662\n30078 53084\n12797 53200\n9838 23242\n16915 26405\n9842 48900\n29751 42703\n28358 40381\n23159 78292\n21821 37785\n65455 73881\n10345 17938\n24892 53979\n31844 48440\n27951 86916\n7105 36406\n7445 57225\n12985 77771\n73289 96780\n15134 92575\n39912 58526\n71605 98429\n32531 53680\n11689 38127\n30982 94784\n9119 98999\n36086 97849\n30053 83588\n63084 88716\n148 11310\n22868 23061\n62286 63998\n58215 87937\n33495 78843\n26058 94564\n71666 96252\n70099 70569\n18970 47115\n32586 83977\n48571 82490\n45141 62486\n1245 73150\n7012 80728\n65937 78496\n10072 48942\n40181 92573\n67062 73575\n51157 90541\n40138 59355\n14599 42720\n9559 13025\n35014 39261\n18471 62574\n31875 95368\n67021 97205\n65888 67130\n18597 38421\n32175 52562\n2454 41341\n11271 88497\n27485 55674\n16362 59012\n52018 95146\n22461 97922\n5631 87038\n4215 34585\n44928 79022\n51616 65304\n9555 45935\n25728 78381\n76842 77000\n43838 85583\n87604 90769\n28314 87703\n67528 97681\n7353 41733\n68356 93982\n65441 97029\n17490 18592\n6568 80444\n62347 83066\n52362 66500\n56441 84647\n1582 42936\n213 67706\n64166 84120\n15142 81827\n37917 56726\n45331 99386\n4677 76353\n45404 63184\n27473 98702\n85194 92867\n30404 32696\n6375 35726\n26085 50207\n15015 85113\n67788 75847\n37792 47367\n63832 85909\n38081 88825\n24984 45944\n19439 40622\n10146 76498\n38935 63283\n15303 48665\n37994 84164\n50883 53972\n12025 29122\n18202 49618\n44960 62907\n73120 77417\n33825 60344\n2065 38237\n7770 74162\n60108 78009\n52694 76573\n52516 92525\n23804 32317\n19716 41593\n46723 88662\n9796 18295\n23120 27987\n1990 79349\n52019 72916\n27762 74253\n18358 77073\n38762 93793\n24536 69914\n22127 96748\n52381 67233\n47910 73760\n4905 77216\n44953 67130\n49644 68162\n67605 82172\n81079 81434\n78983 95152\n22541 49361\n5672 11582\n87277 91587\n53042 56562\n10358 63283\n27384 83570\n66805 87725\n56352 81699\n1247 67386\n29190 57540\n62126 85637\n34998 98824\n73074 88178\n16687 58043\n13053 52498\n65494 73020\n26298 74067\n16846 49870\n66908 72480\n15822 19459\n9638 70924\n16096 23895\n10531 11537\n538 75106\n71048 77202\n51843 87711\n16367 84724\n48822 98302\n6912 92441\n58115 90852\n13958 26829\n42320 62793\n50187 99062\n61473 76864\n27612 87816\n23414 67918\n41501 89681\n30726 73291\n60264 82560\n7448 43038\n16955 24125\n23539 66710\n45008 91095\n23517 57965\n45163 48382\n46447 73435\n4743 59957\n55880 63335\n54461 64344\n84667 88450\n23513 76193\n36091 99775\n12466 25659\n24142 90767\n68354 77723\n29732 39268\n65993 90659\n22538 30187\n4771 45464\n19512 88229\n62110 76478\n10526 72716\n65111 71093\n20015 55964\n10553 43831\n31786 81142\n56187 64571\n6471 18364\n23978 70591\n20407 79472\n29278 44955\n37661 91848\n32103 40512\n43943 79163\n51133 94335\n3920 78847\n3901 33892\n2885 7998\n12991 86419\n17585 66728\n10794 70277\n67594 98078\n57209 92362\n50277 68238\n32460 43171\n6090 59678\n3884 66354\n57282 87606\n10701 57919\n40702 54149\n26532 40140\n56206 80675\n46171 63560\n3516 75486\n12300 53973\n10257 96985\n72240 99182\n46739 49954\n11611 86727\n26911 95197\n38585 46897\n1419 43066\n10378 96544\n68640 88667\n9436 84569\n48617 55868\n91371 97082\n12615 63698\n24097 89290\n3262 75469\n58690 69979\n19382 87832\n25828 47378\n66235 83662\n40729 94428\n51592 97191\n49207 99009\n41523 81875\n13957 39963\n75848 86236\n30953 63465\n36190 43385\n90724 95239\n43533 73140\n81192 84046\n11990 50320\n27846 36245\n65923 79555\n22996 64463\n38459 84389\n17500 47716\n91893 97578\n84700 89178\n24017 42306\n36603 89603\n57717 83748\n30544 40802\n5870 88246\n37803 43268\n79978 94494\n75540 93339\n33779 50359\n73246 83440\n50663 91755\n10651 22414\n42895 81265\n61587 81633\n37919 63309\n43629 65574\n28771 96681\n61567 91789\n66370 94396\n35759 58567\n40390 49931\n7041 17643\n75780 79118\n27344 52047\n73349 79956\n41346 73683\n40608 97962\n37052 53184\n52631 88229\n30590 81426\n14247 89450\n73227 93249\n33321 54944\n69119 94362\n16151 55566\n50621 67226\n55702 61114\n77689 95836\n8285 94494\n8912 57296\n35752 45858\n47172 69264\n26506 81332\n71868 82270\n67473 70323\n28730 85007\n20081 96567\n1925 26788\n77281 90428\n54560 64120\n59532 94254\n55202 76092\n3936 69911\n998 24427\n41762 83713\n66255 86052\n26287 95699\n21482 83124\n28046 36056\n31036 54373\n17590 48544\n28208 83626\n8682 41262\n19676 54747\n39207 66948\n78111 81765\n38115 68968\n3591 12742\n84031 95694\n75197 78854\n33280 84042\n64048 77360\n7543 42170\n72938 80837\n21019 69903\n38165 92574\n34299 73989\n67767 91833\n28432 87382\n48392 98701\n14379 35347\n19579 93614\n4544 41085\n42263 55908\n30550 45300\n14811 51394\n91080 96189\n41547 90661\n623 44365\n2164 15824\n51185 94004\n815 70472\n3801 66302\n34968 49516\n77352 95111\n33512 43192\n34656 71198\n5083 64279\n39516 92566\n52496 55087\n3540 70289\n58189 89015\n73415 74090\n22849 46873\n93356 95346\n72317 85985\n62064 65483\n12230 47016\n76535 86411\n18579 77395\n46665 60425\n39012 96301\n30347 44649\n62121 67097\n55176 86972\n25661 40046\n48290 74883\n26331 58681\n47634 51439\n26091 54005\n31735 38878\n17290 85596\n28721 77118\n27889 80441\n68860 99572\n9235 29649\n6217 23420\n11185 72464\n68434 97479\n80038 80783\n13658 16926\n25047 36936\n14681 26061\n44223 71622\n47552 60848\n22348 41666\n19359 66950\n50517 86260\n9139 14957\n29656 72945\n31154 90969\n32924 59237\n14248 83695\n42009 70454\n8319 45922\n21963 93925\n15461 37525\n12706 47418\n35394 50426\n11146 32944\n12872 31558\n22611 68639\n35443 58668\n19588 70442\n21934 95516\n37219 99135\n31897 87037\n16434 45281\n184 38545\n5309 27613\n90028 90824\n2116 74129\n41033 98102\n34145 69280\n37710 92280\n32752 56564\n39292 46255\n308 72829\n29246 96095\n65175 76353\n11225 93106\n55391 65935\n37776 62075\n2929 93546\n3183 63440\n76219 84193\n80892 85296\n5367 57776\n67674 72727\n55399 77898\n50651 99807\n76609 93874\n59563 79754\n51683 95642\n59084 86203\n62543 70831\n68789 70102\n5690 40575\n19005 98263\n43071 75058\n9373 9554\n48222 54439\n15193 73463\n16436 96106\n5333 35322\n16042 27064\n39444 44212\n49070 94593\n75544 83487\n59839 76517\n14978 88096\n19203 54012\n22317 31836\n20838 25352\n2703 85264\n10745 14119\n6445 29479\n84414 97108\n13091 94689\n15787 62431\n39517 45177\n70374 77879\n21133 97441\n3620 32911\n94601 98623\n38346 69513\n64704 70155\n13906 86961\n34916 73934\n46186 55340\n19501 87070\n18450 44287\n32038 36542\n63691 68337\n32339 48815\n26799 96677\n22548 58180\n67975 69812\n6975 20394\n4988 76125\n47140 47187\n6840 80883\n38034 74986\n7503 22692\n30286 48595\n38765 45002\n58510 61063\n2258 57002\n37470 68373\n18963 41949\n40849 98508\n9031 79082\n72307 78882\n24360 60829\n38678 40256\n81745 83702\n1020 8800\n21498 49801\n5001 19844\n25540 56326\n41143 58208\n12321 22252\n42255 95718\n14118 31817\n44998 86446\n16169 85182\n41590 76655\n50698 85269\n5925 91362\n63417 95839\n65663 97599\n24477 64803\n27612 79380\n39988 71270\n23242 70413\n52469 64616\n25707 61564\n3257 5681\n80984 90936\n53634 65180\n24300 57236\n8923 95453\n32099 72553\n230 64088\n37704 70163\n5723 59334\n20725 35308\n64862 95901\n69194 87880\n22612 90872\n66219 69658\n63769 66283\n42914 58802\n49715 85567\n43583 69654\n2115 97318\n61332 95519\n7323 67450\n35584 50950\n35011 41843\n69925 89131\n4417 87474\n70322 88542\n651 2868\n43141 68985\n19351 68503\n61954 91985\n41995 57286\n35949 84341\n32164 94819\n37062 49240\n63377 94921\n41540 72091\n61019 68429\n38352 66807\n112 42894\n35216 59626\n79707 92543\n28607 37254\n60420 74060\n65506 94801\n1942 87961\n18995 82683\n27565 45274\n9265 79404\n29881 39952\n73042 81762\n67957 79092\n4353 12493\n16238 97465\n13743 79208\n68243 94536\n29390 29905\n46609 94070\n13337 90776\n5392 25454\n13080 34767\n6198 15692\n62294 81519\n24452 58933\n36697 96761\n27124 27766\n78188 87123\n17751 89849\n87161 90625\n49609 90786\n15114 15526\n17523 95977\n49824 54952\n53127 68528\n4977 42353\n53787 99101\n61232 63945\n56379 74984\n62805 97244\n40967 51591\n45142 83499\n67594 81871\n3374 67473\n19587 91525\n20510 69911\n33257 53370\n62327 69715\n69 40646\n3197 33017\n3063 11480\n23697 97879\n88989 94688\n7450 75513\n44698 47425\n83861 93521\n7091 48765\n40088 47996\n75975 91752\n50357 75992\n5123 45924\n42439 77665\n27232 56075\n66296 74508\n51768 87603\n53149 91187\n72920 97523\n43234 74622\n12583 85032\n39554 40112\n26290 61629\n90978 97004\n70272 85580\n5103 26003\n36078 46207\n39478 53989\n5093 67510\n7034 86141\n65125 85055\n50787 80077\n47146 58558\n6815 32118\n3748 58956\n42852 45633\n31328 81963\n54959 84554\n12620 29743\n11992 80118\n45033 90625\n42628 92942\n213 31064\n34891 86990\n60707 64313\n9296 27482\n37810 76277\n40050 85106\n35938 96886\n42517 60920\n28784 58716\n40112 83066\n4922 84190\n63085 87964\n61321 78224\n31875 73032\n69607 97551\n6967 76547\n25069 71839\n24129 42048\n68614 93453\n9087 55957\n23225 97928\n44300 68121\n91503 94463\n10082 11036\n4789 26079\n13731 41905\n40495 66548\n15290 28100\n30603 86756\n3454 27309\n9491 93494\n52472 97295\n11153 77605\n64426 81027\n8465 10610\n81472 90812\n15681 88768\n28287 75915\n1293 84324\n81999 82932\n2211 87747\n39820 43625\n47423 90706\n11323 70387\n38889 40616\n1532 17251\n22159 48635\n70716 94005\n12122 54733\n21144 56657\n75535 85547\n5361 63725\n35742 80040\n39615 83241\n24818 52650\n7950 77553\n39258 80022\n7146 45328\n72728 87667\n88185 96090\n39001 82181\n62324 73085\n5000 80240\n38967 84363\n40673 68904\n49282 49635\n18028 90118\n36960 73461\n14380 28246\n66176 71240\n25320 94129\n26292 67808\n41692 92274\n15834 91384\n51682 54311\n26666 70303\n11743 76952\n155 53161\n41388 55810\n77531 98863\n3682 18262\n7000 48901\n40311 55608\n77414 93429\n3022 36230\n30351 34762\n20557 43467\n9780 87639\n16415 64756\n29053 94671\n12651 16994\n12962 67074\n62498 98687\n41051 99595\n83454 91358\n14663 23895\n2004 86023\n19784 56216\n11314 29210\n23655 87362\n89242 97912\n10176 19839\n23285 65185\n46962 49471\n50134 66502\n9569 9641\n13600 15029\n3251 12829\n4783 11390\n79268 94721\n36096 67913\n10279 15480\n47816 48999\n63149 67284\n16574 93006\n74028 88530\n16390 84742\n39042 74180\n51307 85193\n53531 94203\n38169 42439\n67751 78511\n7795 21101\n48750 64228\n42482 76757\n51055 84161\n16359 26680\n53518 90889\n74453 78806\n9910 82199\n2773 37492\n33855 80692\n25519 46244\n31222 42132\n19268 99476\n52597 60514\n29701 64249\n23333 49974\n57956 84485\n8001 98199\n75114 97631\n24474 26679\n4310 36705\n43440 57043\n40509 55774\n20665 73328\n56883 59222\n8772 54672\n4918 38446\n9926 94199\n17644 73043\n31612 60766\n39720 84601\n24039 83011\n492 54878\n15103 68985\n56187 77362\n1751 38415\n38805 58131\n9335 36266\n9248 19727\n18873 35237\n28625 94714\n6442 99515\n36450 38215\n47241 94132\n46793 94048\n461 48550\n86397 93131\n19843 38974\n6742 70514\n28012 37577\n64088 88151\n6484 68379\n48509 88819\n29703 97998\n19858 25688\n59553 61056\n56457 70496\n67717 90055\n3594 64065\n79651 88969\n17197 19661\n45986 49031\n37211 86263\n48894 61897\n89147 96359\n2700 60825\n29172 69712\n79882 99391\n76215 98207\n66382 92240\n52224 87811\n72264 91217\n24976 25980\n14450 38162\n9442 89496\n14423 87497\n42424 82090\n396 43103\n12998 30608\n53287 74383\n23912 58732\n70008 97362\n78362 96749\n1040 48504\n23525 34459\n7160 17197\n38261 40976\n15653 29762\n34399 78297\n12077 66178\n40939 90661\n36071 57038\n16734 91533\n19940 59247\n48507 91325\n4793 49283\n14068 49703\n32573 76823\n48503 79174\n5901 46893\n957 77335\n25143 35353\n43805 90275\n57556 83290\n61721 80415\n12340 56745\n57815 61195\n76218 90142\n5481 34208\n38568 70247\n68857 89131\n42859 82951\n31323 67686\n42222 90221\n61885 85649\n25947 90827\n7851 60115\n10032 37864\n43409 67168\n10108 23623\n28305 60953\n6858 47084\n3749 38882\n23414 55062\n43751 81754\n5742 79061\n26603 61320\n79537 91099\n22793 47659\n56311 95329\n33595 97453\n27909 50003\n24388 35268\n23780 73261\n23180 23841\n72082 96565\n39292 45098\n28634 78399\n42476 51727\n60680 98569\n3448 77406\n22737 71577\n3317 68094\n55469 61928\n4736 53180\n5676 97925\n14015 32054\n31567 42284\n77243 94893\n45513 94139\n30298 89963\n2463 3522\n18339 70468\n15521 37829\n5556 39304\n54275 59012\n76737 87818\n42836 60931\n21885 74198\n5571 98487\n21709 56427\n19755 25239\n52197 99853\n13157 59007\n82978 87038\n37932 45786\n216 17944\n15853 45443\n71292 94408\n7062 7078\n21961 46502\n37807 99379\n29136 98071\n73057 83928\n21125 79492\n42289 46215\n66183 94193\n28046 58909\n86214 96328\n30733 60775\n7548 25884\n24839 67666\n29490 47128\n4199 18787\n80437 80560\n64 28902\n7979 51219\n7397 98280\n19835 87178\n48052 66039\n12163 60934\n44788 91305\n2055 29317\n45151 57570\n54984 96519\n23904 36176\n52255 64995\n47555 94265\n85466 88159\n11020 96676\n32804 51351\n23304 71303\n5019 23696\n25598 30399\n325 56532\n1084 77406\n889 92862\n43409 51357\n84293 86018\n44155 60987\n13590 31989\n13775 50264\n54480 71118\n66472 71377\n8699 80513\n7585 24186\n54716 90538\n666 61524\n77520 78445\n47220 81618\n17496 23969\n82058 89006\n18495 85395\n45995 52007\n44040 64425\n24204 89188\n12333 16426\n60655 85676\n51639 77594\n5043 45770\n42115 96949\n3302 86692\n66427 70348\n7934 20949\n19845 95548\n30065 52278\n79554 82015\n15048 44794\n8886 78855\n4050 54158\n32999 34886\n1127 47536\n98034 99567\n17222 93874\n47137 81326\n21740 44826\n41595 63950\n26088 78665\n39629 91979\n46622 53452\n44808 59601\n18314 90514\n20304 35656\n32757 49434\n48826 91975\n51217 77238\n27621 58562\n4336 47332\n50834 96004\n19517 68472\n17982 57857\n43756 69017\n25229 80423\n81661 97931\n12173 94988\n30821 65903\n26900 91447\n40984 81088\n46447 67335\n53880 71413\n36704 99661\n40965 71670\n15342 42289\n26020 57885\n29114 91381\n14239 89593\n77066 96360\n54478 88700\n19712 86049\n24892 97879\n26891 42786\n3074 17428\n9082 9726\n43836 51057\n82364 89668\n14158 40566\n17561 75082\n26750 57351\n20751 77603\n11721 39690\n14157 91859\n36787 93323\n14636 78048\n22554 24757\n33986 58658\n17752 56815\n3795 79923\n12775 38218\n16259 63447\n77838 92386\n1703 13705\n37217 78332\n4022 99616\n4758 31398\n4504 50001\n5814 38937\n4648 9665\n7876 76652\n51787 92296\n20656 27870\n63664 66246\n48204 93921\n44372 52782\n64980 73066\n15706 85766\n3484 31497\n59265 71922\n57767 70662\n24798 88683\n50911 62947\n10021 81933\n35988 44989\n73345 90176\n65412 69319\n72008 96481\n24939 79813\n33834 48038\n28118 34937\n27834 32519\n33391 82016\n92694 99023\n30314 86983\n18319 34089\n55792 71025\n7446 50772\n73580 81855\n18726 91736\n19162 48946\n43959 82410\n11912 70274\n19624 41644\n107 48142\n4841 96372\n11462 52496\n34586 64632\n3537 43280\n48534 56777\n6815 82392\n4179 99025\n15930 51020\n3783 25271\n42094 55427\n15439 73491\n74356 85849\n1658 32568\n37216 96206\n19149 24107\n21807 66820\n41190 94300\n30803 85874\n87837 88559\n49982 71797\n59921 81329\n4008 89654\n35315 51896\n7112 36658\n43314 61167\n27408 52970\n67657 81738\n22862 85680\n7430 33026\n87267 95522\n43831 98720\n38584 97884\n58104 82817\n18870 38026\n1688 76108\n21121 95924\n95080 99470\n36832 94222\n30701 45918\n85481 85566\n25592 65463\n18498 62669\n20359 98110\n38945 57756\n11320 11595\n20976 45108\n37825 71370\n9395 54756\n30606 49582\n71249 72903\n31556 76733\n25689 76642\n10983 57872\n655 24209\n10715 52270\n5132 21013\n75875 97258\n34191 70801\n29841 44213\n40990 74838\n31779 60892\n83445 95258\n90741 99919\n32513 36401\n55944 70697\n70007 80325\n35322 83521\n38795 94187\n4782 9688\n66491 88217\n46998 49475\n45356 80396\n60359 74665\n46572 87240\n6746 32599\n15997 49464\n51924 81549\n34438 59432\n52965 85289\n6216 98814\n68691 99386\n10689 27024\n76450 99653\n25516 42546\n55445 83744\n88438 94922\n46857 57131\n50523 53195\n75328 76888\n22112 69431\n22694 54695\n1982 4234\n22386 86880\n67933 72638\n25512 56017\n17266 49977\n17385 80793\n16969 77171\n18161 46169\n27049 69508\n28609 65436\n80445 98484\n2763 13630\n42271 92202\n14937 86824\n12205 42539\n4801 73159\n76584 91343\n11648 49183\n25159 81765\n26740 65098\n58550 89773\n41573 64373\n14033 89637\n46966 53326\n46070 75210\n19898 29928\n18846 68262\n28317 76430\n16837 17984\n6286 14708\n50437 65198\n10392 58215\n2051 51597\n5016 78322\n74036 75194\n55507 83526\n63452 70697\n6098 97121\n21671 48527\n10554 37150\n71 10944\n50356 63616\n35070 51851\n46110 79293\n1362 80012\n36264 81855\n263 50662\n72136 91618\n10941 30706\n80538 89393\n66005 92258\n993 51267\n7794 98828\n4511 38764\n1661 24583\n18320 98122\n27086 53065\n58715 94120\n65640 85741\n849 29231\n31662 33192\n27927 79037\n9151 13729\n19469 79169\n91781 94017\n6853 80640\n4241 72990\n15999 28615\n27634 30591\n42838 77783\n62075 87540\n71977 94109\n6115 56042\n58894 81164\n21183 28140\n12549 75295\n5197 95811\n10815 81210\n45419 90194\n52174 75527\n10256 93655\n1638 77583\n60215 79496\n41768 45979\n2209 10305\n22494 64282\n30678 48295\n10008 14758\n21714 68293\n12958 72469\n36766 95799\n54862 74954\n21350 82915\n48549 69764\n2567 97099\n10946 82141\n14319 60605\n33232 60518\n35102 61764\n24360 58188\n46189 99017\n41592 80321\n17599 35948\n64546 79645\n7121 7710\n51559 55513\n20283 83704\n16763 59708\n42961 51144\n15730 76756\n1189 15172\n58028 64626\n70987 88371\n31732 92906\n63401 98171\n43069 87582\n56526 60382\n10268 11921\n5824 15453\n22607 87866\n885 41991\n11814 36905\n10962 47114\n35882 77754\n26817 42202\n8291 61748\n14766 73024\n5542 67950\n71562 74957\n20979 50023\n32963 98084\n8031 10206\n5541 57369\n15870 34278\n61644 93672\n924 13184\n27315 45367\n10544 64369\n58964 64721\n20400 91472\n35512 95603\n11907 54232\n26014 90541\n28592 90533\n11780 29609\n7728 23457\n19821 93309\n6606 43787\n31666 81353\n31606 73182\n34216 35007\n40575 77655\n31428 65633\n49329 58858\n36880 77612\n72557 76338\n8093 76901\n11891 87032\n4001 95051\n40399 71669\n14943 44209\n19337 54328\n67706 98517\n97 34483\n55684 82669\n14460 35469\n12502 78103\n20075 75885\n3867 60915\n20329 34045\n1444 14251\n82761 93016\n55137 93344\n6368 40278\n34663 70454\n21152 39151\n17941 34486\n42795 97333\n22503 49516\n84314 86609\n14740 58108\n27047 56586\n48590 72110\n28525 64464\n14390 68593\n4219 17884\n61146 83074\n87654 96935\n16986 48884\n659 62212\n37547 72392\n10534 85691\n74780 99520\n9254 13468\n35287 57538\n44528 83604\n1559 46487\n345 78672\n56514 80947\n14734 80698\n21672 24237\n6702 91555\n43609 45697\n20422 30585\n1167 74510\n40651 92991\n71064 73478\n9976 60246\n50552 81120\n5220 65342\n28199 45499\n38848 55236\n35815 97361\n72593 88843\n46671 61286\n523 46075\n24080 93640\n59966 74652\n54031 96850\n61521 98232\n6863 71536\n64891 71732\n42417 85803\n20739 23477\n1312 78032\n52737 74698\n59695 79801\n2835 97461\n37261 63695\n79912 92186\n64679 89205\n4812 28889\n5600 59799\n20919 91050\n36733 74491\n84088 95223\n10790 38643\n31413 92196\n24873 63183\n35158 97807\n44867 87389\n51994 55314\n49380 88662\n74429 76313\n31911 49006\n8773 93900\n38579 95469\n51147 69056\n38780 49867\n50133 94771\n45498 59569\n40193 98692\n95965 98592\n28489 61935\n27296 76097\n26036 28118\n6379 46722\n8820 35228\n17715 91153\n87866 91067\n32820 94444\n22818 77093\n52744 94284\n416 10866\n39043 91272\n64565 91578\n915 63268\n11574 27047\n2472 61605\n37838 83808\n72040 95852\n75014 89494\n14961 22517\n8218 29768\n25106 93172\n87826 95640\n6671 74503\n14093 71566\n17326 99436\n6639 74782\n35710 59277\n26899 42177\n73262 78644\n12866 35716\n29330 72097\n60206 88139\n20869 29667\n76709 81637\n75252 82120\n4244 33510\n68508 93258\n16763 31487\n21918 23882\n19832 87352\n10614 39558\n17992 90789\n27897 60700\n515 33723\n16619 96024\n21312 80930\n49191 62059\n11572 77834\n69628 93085\n64790 99116\n4149 75462\n3884 55322\n33762 84812\n70821 72328\n28566 91121\n14213 72683\n5380 37798\n43556 71280\n38636 75965\n45904 91985\n47495 76735\n68992 82049\n36379 84611\n399 83737\n26861 93847\n61001 71996\n11706 70080\n17502 41275\n10733 49665\n8613 68780\n65080 98968\n46319 85462\n60709 97029\n48061 76681\n13905 24648\n26009 68538\n4056 7018\n3981 72708\n57036 91417\n3056 5090\n65922 89462\n28108 55689\n5737 90401\n51431 52316\n6681 55696\n50140 58020\n78462 88705\n38215 72442\n20468 93292\n121 45902\n806 55323\n30112 36423\n42349 82318\n22106 66859\n4586 85435\n30973 41106\n75543 76919\n69521 81013\n36733 42783\n6204 58868\n56595 81176\n28860 61427\n26422 53951\n68970 72797\n49684 61357\n49196 75564\n27660 72173\n21477 60256\n70987 89429\n23555 80556\n3810 4853\n25224 79158\n39844 50354\n88117 94973\n31933 52780\n35020 96440\n46267 76910\n5554 78616\n15395 73391\n51618 68767\n32089 76637\n30533 50083\n9196 92481\n73595 90991\n73126 94508\n20516 95186\n27506 58146\n15360 96356\n13513 34466\n13356 30005\n26427 41927\n27750 74514\n21043 89722\n28348 50829\n86570 94348\n77907 91511\n93094 97188\n41573 49353\n9407 76590\n16928 41462\n62275 96265\n9403 88830\n704 94315\n4893 15502\n18658 37158\n3929 18865\n2321 52563\n37978 96200\n23597 24997\n40083 77979\n49466 57192\n47938 63208\n61418 91392\n62569 90223\n22430 23099\n26466 78535\n18110 86499\n54962 97871\n28541 57704\n27014 83462\n1948 51327\n42272 71863\n49511 86998\n3278 77641\n12631 19185\n7725 91088\n42084 88154\n58744 83231\n44899 85395\n35227 59780\n4190 24499\n35523 47416\n18537 92503\n4497 10540\n81 52631\n16879 79327\n18578 21488\n22224 55191\n15746 19348\n28864 88418\n4205 10822\n3679 97058\n70974 73854\n61626 70215\n58582 69033\n7133 20812\n10209 76023\n37840 40781\n55048 56188\n14681 95386\n46378 48504\n34128 81989\n73262 80864\n36751 43987\n7338 76792\n41547 55268\n46434 49152\n74565 75984\n37399 65989\n53033 87537\n67172 88869\n1370 86949\n54643 82416\n27615 83718\n16897 78368\n3142 76776\n44042 45382\n3511 83469\n85953 98364\n26400 44604\n9213 48394\n22049 71721\n40010 89266\n44449 60614\n1743 26020\n22307 98307\n26682 65148\n30359 89621\n51877 88466\n5773 70327\n5960 23197\n509 56143\n10370 58322\n14518 53658\n20298 39130\n25259 71785\n46918 85141\n1476 69817\n67326 87699\n7516 44994\n1352 17979\n8133 37097\n3378 40030\n35747 71599\n23299 81027\n28127 56342\n3831 43142\n55038 88162\n15829 37172\n46142 79370\n56718 94101\n39751 76263\n11441 50327\n22531 51798\n46617 68834\n79302 84171\n64178 90023\n20712 32742\n5263 37381\n27819 39847\n10592 87083\n12910 49426\n16990 77428\n58252 72824\n60403 92435\n1697 11620\n6440 36466\n10931 41433\n19744 86024\n3788 78914\n33350 58364\n3635 77988\n4758 70233\n7184 44121\n24278 58128\n24315 76650\n45975 78245\n22317 54322\n34391 83579\n78333 97741\n53455 93523\n34547 68740\n62083 73002\n50729 68753\n39396 96589\n6264 76166\n49805 61514\n67332 78578\n78967 92018\n5746 33809\n29926 31594\n5739 29058\n10065 87936\n13822 28100\n71457 72226\n35871 54007\n14631 36465\n11032 35927\n34811 94323\n58655 70417\n1153 31360\n2468 50985\n3356 11215\n2020 28386\n45555 53717\n24123 58367\n29053 88594\n48481 72596\n66508 79393\n53454 75417\n41988 75442\n41538 60588\n47693 66541\n7039 59172\n29382 64244\n320 35986\n26927 72122\n30681 65461\n23647 45860\n72798 98966\n27970 55068\n53116 78704\n50698 81489\n1043 40960\n6378 20596\n19662 77653\n1006 39943\n37448 92143\n58431 83868\n65383 69944\n16449 74970\n65694 67538\n36579 85274\n12578 77974\n22784 59890\n34265 90166\n4904 81825\n73026 85634\n92505 92753\n54060 95580\n14198 92810\n77583 95890\n143 59772\n28403 69730\n5007 54880\n19818 45030\n14519 90105\n17552 29626\n29883 89001\n48962 72860\n9402 54478\n11679 56320\n59339 67835\n56513 85627\n21778 82950\n62911 78529\n18901 78007\n48842 74455\n2540 64314\n42285 77250\n73100 86968\n59134 66233\n29277 82135\n32064 60377\n13675 83187\n5106 57995\n47609 68559\n48377 63622\n9186 86267\n15304 90185\n3759 92393\n12502 37417\n61048 99414\n16055 44064\n78169 89826\n28333 30967\n75157 96005\n54100 55773\n5204 41274\n12615 77763\n15640 69287\n57198 97674\n1225 10303\n50226 98485\n3846 85950\n73922 80704\n67773 97182\n89740 97211\n69186 88135\n55694 89630\n2159 12495\n59837 71846\n26873 78212\n20511 78901\n18618 22458\n79812 84746\n2730 42112\n28489 79828\n33163 76568\n11514 76100\n38529 87848\n35744 86472\n17832 84183\n46784 80289\n53223 69722\n3328 95231\n4171 55462\n18004 47887\n48781 64228\n27924 89369\n7637 20092\n10188 19671\n68129 80388\n20069 74884\n10365 60177\n6899 43037\n39457 40184\n39666 63822\n36475 65943\n2808 73214\n8215 72964\n61816 70728\n53690 80875\n2954 44816\n58116 60281\n34914 54425\n60941 95247\n39492 64524\n9436 62870\n34801 62673\n38719 55894\n75025 78726\n39199 59236\n80450 81983\n57533 91264\n37204 52943\n628 44605\n30696 41126\n10904 16801\n39905 61976\n1140 51302\n26614 62019\n46667 85904\n47072 96233\n24814 71167\n67771 85044\n12391 33509\n74473 95202\n27190 72065\n59351 95868\n31169 48877\n50087 82700\n26366 43489\n52623 74961\n10495 63730\n12260 86191\n8299 52568\n53333 57991\n66392 86580\n22680 28198\n3755 80003\n4002 70892\n57353 92020\n10800 39697\n7943 73671\n24014 70195\n41892 57799\n20274 76204\n15596 75327\n81183 88089\n6300 12074\n51700 92767\n11734 28441\n17381 84781\n10822 21014\n34494 91352\n9312 82230\n26406 95375\n9931 64241\n40208 43649\n88282 98313\n32300 86802\n62958 67265\n1694 73577\n75754 78617\n34272 92692\n10323 69525\n26610 87261\n8721 12502\n2217 26510\n1298 74997\n54497 70006\n25275 42640\n79036 99846\n23201 96396\n23133 64516\n11122 69878\n53337 67453\n28401 69196\n69018 93166\n76667 84300\n24628 39992\n83572 91958\n9063 59160\n29556 67007\n71048 98848\n73085 80342\n78714 95131\n15045 97317\n40695 67040\n38546 63958\n30781 47003\n64215 69822\n575 71748\n4612 33585\n35367 76510\n22661 85517\n40630 49919\n11818 54276\n47297 67687\n77400 99629\n5555 44455\n7805 99187\n60780 83469\n49344 83240\n22588 90132\n61542 66859\n14041 93594\n54160 80209\n31001 76233\n21909 22996\n4930 32824\n2856 50899\n33101 66823\n36117 99684\n46997 77974\n19901 61707\n35685 79649\n18998 80920\n15571 83640\n29376 80602\n40247 69413\n18363 67201\n13381 35589\n3700 83475\n25133 58535\n27088 97278\n3395 46498\n47804 81781\n29666 75559\n69809 92931\n6523 99717\n10942 88212\n24591 49122\n16759 33336\n21118 95915\n9673 55168\n65109 77694\n28606 39990\n4907 73008\n750 63003\n14037 87253\n82321 85832\n34191 49066\n47214 99223\n11558 78407\n34883 36900\n27352 76606\n16314 66937\n14574 70259\n56572 94042\n71023 92482\n47522 82941\n34258 87483\n63769 67731\n25391 69845\n69581 79216\n27553 50113\n15533 97040\n61170 99644\n29970 39502\n67434 92622\n1829 3301\n43492 96885\n30612 90039\n16737 75362\n12728 19305\n35433 56469\n41441 53130\n20985 90607\n14106 88967\n36437 37529\n21104 89304\n24146 52020\n5361 48614\n19150 92879\n20347 46963\n2643 73393\n35722 49836\n38301 45976\n18564 36493\n21575 33579\n45554 62781\n7467 50095\n48366 94145\n8812 95366\n5929 64810\n27731 30877\n22354 87693\n31623 34468\n68269 77500\n73944 79521\n14620 29698\n15667 36952\n62563 95106\n3284 53012\n33760 85603\n8400 81713\n28497 39289\n47355 47378\n72003 75434\n9033 51709\n15540 77046\n42461 80968\n12698 63414\n29685 45804\n41458 99300\n2477 66260\n24825 83837\n39328 60479\n8435 44227\n20483 26868\n9204 73396\n18971 46923\n10480 24413\n20896 34110\n35172 74559\n28823 96226\n20591 91315\n43315 66575\n7760 68013\n29586 51792\n68444 99227\n37829 62213\n38186 86773\n30197 34065\n36152 91284\n69271 84763\n9568 70159\n9739 17712\n63025 63841\n1410 85713\n22377 36290\n1363 61838\n18330 38251\n31780 70025\n54306 56011\n75886 80694\n10003 92748\n68165 70820\n12605 25749\n32516 56010\n31419 59771\n21140 99693\n37759 59752\n39733 96152\n15269 88798\n12061 58968\n12021 40807\n53881 84297\n43463 45123\n53233 76510\n46473 57810\n10896 25968\n1950 11041\n18351 23269\n52947 82617\n42462 99970\n37030 87234\n50693 79988\n96111 97163\n78278 79708\n49564 81753\n22630 91234\n55800 78775\n10152 50093\n23031 65568\n18992 47974\n50394 62053\n38101 85408\n33187 34521\n29571 32017\n33586 89095\n89864 93939\n12094 80735\n8497 36058\n13260 26672\n84818 99182\n38993 84582\n30057 52229\n21208 25110\n35424 43152\n49595 78939\n39094 84757\n8372 98258\n30661 78822\n76241 94765\n54486 89692\n55288 76658\n61201 89698\n93652 96736\n20080 36325\n20840 40432\n57428 76426\n35680 98559\n74673 85313\n27501 86183\n9247 64433\n28917 85787\n38173 65735\n66190 88477\n44527 72270\n14760 70622\n42337 80617\n15824 89776\n37533 49569\n9862 72333\n67305 79160\n2571 38482\n23184 33751\n57402 96646\n13265 33926\n43095 67160\n21141 56427\n45005 56672\n28360 47794\n867 6174\n13152 58823\n15509 39606\n71256 82198\n30466 47063\n63157 92929\n56761 89578\n62461 65101\n36218 51461\n39463 97037\n18780 36380\n11280 74409\n17751 56110\n6548 53426\n24111 48921\n22201 92101\n34499 96036\n12206 36741\n56795 69559\n23088 84746\n14973 79921\n22127 50719\n20452 69683\n21675 31925\n32157 39327\n71453 98968\n19815 20827\n66476 81461\n41563 79327\n55331 79306\n69659 94189\n3457 26352\n20042 22406\n14727 67210\n17608 17622\n19559 24843\n45555 75615\n24163 34917\n11901 21647\n39803 76761\n20306 87732\n9101 47178\n32311 42705\n80024 83694\n33886 56252\n15656 43165\n22974 71252\n15368 15742\n61036 88103\n19986 33580\n19122 80754\n4659 96272\n10343 77340\n20453 77735\n41343 68849\n23837 68376\n31984 40714\n41856 62505\n76828 82113\n60770 79313\n17966 64489\n13897 25910\n59911 66245\n31609 58180\n25885 45208\n51221 70539\n7253 80379\n69913 87614\n1333 26567\n4499 96408\n49170 67049\n13352 69499\n68103 70767\n18868 87170\n28087 63065\n7396 47384\n10512 67904\n334 54489\n10654 43675\n41251 82013\n43159 91778\n30635 69857\n59263 90378\n26195 60271\n71679 83672\n36483 84260\n11519 72908\n34822 36183\n9188 31091\n488 95096\n9874 10923\n55889 89436\n33616 36364\n8273 89272\n7827 88535\n48648 96338\n56425 77067\n17178 88849\n16730 25094\n14315 76256\n2985 63584\n14506 62333\n13073 77250\n25195 45810\n45047 76550\n31171 64325\n27064 48139\n18954 82559\n50551 77834\n75173 90590\n18257 58902\n18418 51774\n59526 72295\n14919 48568\n86467 91462\n32585 46300\n36729 76144\n30883 70959\n610 90745\n44462 68567\n14772 46073\n1927 29276\n54486 69059\n39357 41839\n80594 87556\n49333 64835\n48227 62587\n21397 71351\n10752 72526\n21679 64614\n44263 48211\n55950 97244\n10265 38411\n87355 93200\n3918 40093\n76830 96370\n52794 98557\n37739 40517\n36677 81569\n68984 81999\n5782 6860\n44194 79151\n21666 65008\n65395 70260\n88448 98757\n41193 70754\n31410 94862\n42996 99197\n10205 34822\n34931 74864\n45250 84764\n26241 95848\n2590 15868\n71404 88462\n28539 46772\n29163 89990\n18352 29908\n43924 83479\n19264 62148\n159 66405\n76449 91215\n60747 88668\n3905 38751\n6050 85153\n70071 86206\n14566 91361\n39663 65160\n53259 98839\n25034 64507\n48163 76057\n32871 54470\n48494 63437\n3484 41692\n27363 49889\n12632 38838\n44438 66985\n46856 58277\n58789 70578\n82872 96014\n25528 61700\n37307 66274\n34145 35569\n45906 54734\n78510 96428\n53557 68217\n40061 76323\n86967 88106\n16785 37758\n7216 14824\n35051 41439\n26109 50358\n21226 92402\n20066 47576\n13289 63377\n4975 52330\n5540 84298\n39324 68786\n35181 58362\n76506 89537\n8841 16203\n14597 35653\n26034 76425\n56808 75187\n12405 80425\n36335 80110\n33966 79343\n50154 80235\n29073 55161\n58696 67353\n27855 87680\n41433 44061\n55942 73758\n50124 64319\n11138 69700\n17984 67466\n51563 93666\n33896 61714\n43006 78151\n76080 95127\n7131 16451\n14086 37305\n32937 36486\n639 11018\n24982 93441\n25620 94369\n79025 98855\n27946 76760\n3699 23106\n10202 25107\n60451 83973\n68925 94704\n8112 25182\n26351 34841\n22274 62369\n2604 22459\n35113 90527\n2715 17070\n62398 85506\n28050 72085\n24986 96156\n3581 19162\n19932 98746\n6097 80389\n32156 56134\n38371 49291\n38864 39843\n35094 52347\n882 81921\n2157 64844\n77191 94318\n14447 88164\n46278 81130\n26296 97634\n68096 70217\n58053 79921\n91701 97178\n63608 99835\n21252 85559\n38128 67689\n3323 76834\n49823 99821\n77344 83966\n47913 66069\n35627 93562\n33184 41990\n39904 42987\n37152 75610\n32800 74690\n9428 51127\n53391 79527\n99259 99523\n11461 88499\n32568 35230\n45716 78228\n24718 37462\n208 65870\n33389 36086\n20651 43531\n5748 94305\n40217 52100\n34708 71961\n29431 35077\n76478 78963\n10489 57535\n77242 95856\n54215 91086\n53359 55343\n64029 64719\n47927 51572\n51885 87612\n20852 50210\n44271 86494\n55701 66360\n50380 73931\n53175 58023\n67825 74799\n16277 72254\n31901 67784\n36059 96177\n9786 56036\n18645 37655\n4648 51375\n8792 33072\n75287 83338\n16047 61533\n28573 42963\n39812 83038\n22779 84174\n34207 85586\n28156 68266\n6454 79212\n38688 89226\n5724 63052\n73447 90073\n27637 87633\n40616 89796\n36342 69970\n55569 65620\n43044 62721\n40025 69156\n7432 67669\n19295 97747\n5563 56958\n56663 62255\n64681 91961\n35129 46871\n25450 30514\n20493 87388\n7292 79376\n34404 68570\n3158 61930\n47710 75035\n8246 69186\n57945 80503\n59643 70349\n51072 68369\n5826 32188\n15831 82070\n60834 69131\n10481 99792\n27446 49198\n41415 73191\n6033 8097\n54660 76312\n43104 54687\n59973 64870\n39399 66308\n26160 48383\n18185 25927\n86046 99167\n21333 60270\n22195 58750\n72690 98095\n9037 28294\n29688 71444\n79618 98044\n21033 41786\n4870 52003\n97641 98417\n28672 30569\n12315 49649\n32459 87900\n84735 86635\n53779 64691\n57966 76250\n23252 84968\n7443 10962\n59783 83479\n29949 73913\n22872 24244\n28565 81931\n257 4817\n32148 84713\n20494 56211\n51037 69271\n27020 83704\n60491 92590\n42571 89419\n38637 93240\n24954 83817\n57997 83817\n70132 71845\n14967 63074\n2558 48641\n2573 70991\n16235 59866\n18778 30845\n44755 50982\n26918 74259\n6815 67958\n28799 76543\n23234 61831\n4423 32414\n79359 87478\n51850 79456\n65698 80696\n14300 36707\n18134 95762\n12679 96835\n23180 50551\n4446 84350\n52625 86069\n4428 64260\n4701 83572\n66004 68656\n2729 43467\n64112 81606\n84318 90635\n10699 17769\n28887 87477\n62119 69944\n82748 95649\n44125 62292\n55824 86604\n20901 23712\n7701 75790\n26687 35714\n49558 60563\n1653 51751\n27279 42127\n18700 78510\n31080 91076\n18314 35679\n32412 75571\n78573 98201\n4715 27305\n54551 93476\n753 46582\n31650 84795\n16707 80969\n32451 35590\n83686 97685\n1906 79895\n82769 99069\n893 36153\n12839 45981\n85369 91340\n46186 87530\n84144 97342\n41101 68226\n26128 79963\n9586 54673\n9380 48657\n54460 92607\n6837 32154\n41343 81551\n6592 82166\n27860 79143\n61679 85383\n12029 92697\n72325 87519\n10470 80921\n3153 88568\n19777 22733\n4060 67003\n23809 56588\n13618 68787\n42540 69317\n83403 96977\n7061 27277\n27565 46548\n19570 35793\n37531 86545\n30439 51658\n895 43206\n57032 99625\n6449 81654\n25634 53317\n31601 63089\n41170 41479\n8564 40993\n30753 31303\n48682 68774\n14803 97571\n22828 88376\n39587 52531\n51689 67831\n23720 29963\n51669 81439\n5410 55606\n8312 10893\n58266 58980\n35254 44080\n8925 34713\n44704 97018\n70671 90720\n8259 31047\n33389 93762\n20353 38398\n16528 39612\n5748 42974\n60239 64387\n35195 93017\n44726 46074\n81050 98076\n51404 89949\n3350 95030\n22630 61128\n50340 61645\n19722 78512\n9523 32500\n14590 16925\n38 55504\n34144 58488\n40829 66036\n3445 44017\n79304 93937\n32495 87965\n26273 52414\n27038 55013\n66799 95419\n9825 13520\n36127 47468\n61384 64772\n24582 50972\n1913 97381\n48573 84546\n20051 26415\n8098 67673\n482 4772\n9356 59236\n1775 47516\n24240 47331\n22504 27657\n13820 68708\n2652 98708\n52189 87292\n71526 83370\n84570 88630\n31032 86873\n48636 86236\n65108 94104\n5848 59551\n11795 85028\n18060 61723\n61563 64954\n13190 73158\n36463 47536\n2148 55835\n13578 36484\n39576 87255\n36812 56865\n44721 60236\n6949 92590\n83225 93252\n52648 67487\n18898 29524\n3861 46195\n33136 68498\n13967 58845\n60549 84183\n2507 40803\n9064 22979\n2209 98800\n53994 81643\n22519 96920\n6265 26041\n28451 31374\n43336 74852\n2809 19554\n7700 14008\n28337 34701\n5599 76062\n59375 66361\n28314 33057\n39822 40283\n33885 99820\n12304 60591\n16483 49574\n30581 43163\n23797 74898\n14413 52709\n77921 93113\n30627 38821\n47391 62052\n31498 33215\n61980 78973\n49413 57390\n39409 59163\n45978 96866\n55056 76910\n2777 94789\n65411 84834\n2362 95401\n9073 96811\n30413 99399\n57704 95647\n37682 46735\n45638 46880\n62312 80462\n20944 78045\n11 48673\n43029 91031\n16447 22405\n31626 72251\n11619 96105\n14943 35719\n58997 97354\n12709 44312\n47250 90950\n66387 73200\n40439 86679\n2898 85231\n593 55362\n57725 94177\n17779 24789\n7458 21490\n64155 73416\n245 15897\n47959 55528\n3395 86860\n50302 56273\n28734 88405\n4075 43482\n32119 78444\n17047 50061\n23625 69673\n24774 90404\n26152 74083\n7842 84555\n17113 46675\n29507 76434\n51817 76097\n40989 57869\n31043 53511\n59756 86910\n14314 38428\n42793 99880\n31194 61753\n29042 54664\n62310 67268\n25399 88611\n11602 82742\n53472 89058\n9660 99528\n88821 90977\n81226 90303\n34464 67097\n58687 64699\n92728 95380\n44571 87233\n62982 99682\n14804 59567\n4314 80906\n81642 83674\n69235 76298\n64669 89825\n10367 31347\n89525 90060\n7883 15328\n37238 81121\n5 96024\n2227 54311\n5677 39920\n73852 81901\n4569 31561\n1670 64799\n18093 65649\n38676 64457\n109 38780\n74938 82778\n36239 80230\n4473 15317\n22077 62878\n6591 69744\n8758 42093\n12111 52079\n23999 27595\n1622 23772\n4018 64831\n30391 99823\n78175 98331\n61789 62819\n25790 88277\n66885 92987\n54893 64559\n25421 57282\n23184 80197\n68144 88925\n9745 31041\n33425 60958\n11700 87883\n55013 61077\n79619 83819\n32071 66695\n33060 81851\n45396 63629\n661 84291\n2342 35042\n69273 88048\n65593 83830\n60495 72939\n45690 64715\n20218 46606\n43003 79797\n8626 73734\n67517 68504\n37961 82759\n55475 59212\n21726 35834\n18045 81835\n5340 35469\n6135 25143\n44077 77544\n23889 59923\n49053 92477\n82578 91204\n48310 93312\n20883 39940\n38776 95398\n10555 70448\n10623 60970\n73336 84087\n27495 65717\n34988 63650\n40324 52782\n29854 46852\n65162 71457\n85365 87030\n37034 83238\n31850 64251\n18151 81731\n51154 56612\n43934 87530\n10936 76970\n32891 93058\n4606 10393\n13264 22769\n26996 35832\n25908 35039\n17348 68608\n80903 90055\n29112 61363\n15625 45725\n65844 97185\n48893 60055\n18654 89172\n32181 44315\n17452 81086\n6340 77453\n86624 91552\n9560 57454\n5807 95591\n75503 88036\n45212 47453\n12565 56507\n19935 56704\n75804 77738\n57692 68130\n10224 58794\n45216 67061\n2916 73707\n3223 92658\n67695 91634\n33553 93965\n53895 99896\n39433 50938\n76843 83710\n31764 34056\n83257 88763\n82105 96942\n65374 88839\n58597 74502\n92287 95429\n29649 73853\n21088 35863\n1166 5506\n42952 82450\n11739 81298\n70516 87004\n57358 81827\n70230 85985\n9681 16260\n59597 96451\n59012 88494\n40581 58167\n49015 96648\n13631 25511\n19133 47961\n10218 98809\n88012 97381\n40574 64460\n37272 66484\n1770 89073\n25596 27563\n64545 84409\n8536 50069\n6468 87049\n27238 68094\n19952 50274\n7325 41767\n47628 90004\n10979 52289\n78636 98847\n12152 52032\n45721 92391\n24650 85478\n38197 48452\n14476 97471\n46085 94173\n66352 82137\n63554 84655\n14113 94628\n79129 92174\n36481 88647\n13856 17397\n42080 99073\n56860 99280\n2798 62848\n32513 96658\n27262 46574\n79038 91856\n17594 94176\n62439 75567\n18272 62353\n32969 56506\n1687 74191\n53812 82866\n5168 65786\n38432 72058\n4550 55012\n21573 55577\n27994 93952\n58660 96190\n43666 69183\n45182 99164\n78006 96517\n36225 85728\n7463 19613\n41841 86229\n13089 27531\n42596 83977\n29344 70882\n78919 90421\n14124 18137\n22267 59548\n36550 46032\n50125 54785\n208 66623\n46890 75800\n9765 20573\n48325 86630\n35436 54331\n23734 46449\n60377 88707\n8492 77952\n77569 82452\n40096 67643\n4148 75320\n7297 51608\n17959 42602\n9025 62412\n27701 98022\n89705 94207\n24769 63570\n29351 64425\n21036 47773\n44365 60398\n12099 37728\n23929 62362\n60013 98894\n22964 45434\n54535 90972\n40439 77543\n873 54206\n67325 75595\n5859 95588\n7202 87777\n55646 66421\n82323 85265\n50083 72687\n87287 95429\n25932 45056\n12767 26634\n22958 83769\n11 73154\n83236 97166\n50786 60193\n62311 70134\n39496 43958\n59802 91944\n20419 95192\n54768 83462\n45769 98995\n20791 27537\n90251 99359\n89779 94572\n55391 60750\n66772 72863\n64629 99092\n22134 25847\n47017 67829\n81141 99167\n45327 68416\n49225 49779\n9088 49888\n946 82888\n74265 94293\n639 18732\n57378 70596\n43154 52599\n2142 70668\n40862 97400\n32378 59609\n6594 79929\n21925 59283\n29462 52112\n36125 96341\n20422 31007\n27381 39261\n52709 88544\n8398 23155\n51707 63732\n8629 28212\n16673 56131\n3667 27898\n46834 77113\n44549 79381\n30526 41578\n9938 34154\n25855 68494\n60478 82513\n44677 57902\n18184 76600\n3816 39598\n50158 53471\n23526 28343\n25104 84990\n6647 79246\n5396 86790\n42097 42997\n69884 75671\n67975 75673\n30687 75802\n13009 88125\n64876 88019\n48261 84318\n55938 66007\n36548 90993\n4709 96493\n72270 83715\n11996 86379\n1565 55361\n37015 40633\n35870 66180\n27879 56430\n49633 65711\n4780 5429\n32211 95485\n84248 98032\n24461 86459\n2400 20520\n68580 73606\n18581 56065\n8432 72433\n20270 66989\n32139 92809\n44625 59624\n45923 80730\n12460 67674\n64383 99743\n21900 69480\n94952 96988\n85106 98705\n54625 75398\n26711 96925\n34578 74173\n2673 80999\n53945 67515\n85069 85153\n924 19053\n12908 86435\n60530 70960\n779 7983\n62381 66870\n39120 95468\n17986 38226\n18017 71987\n30970 48717\n8022 41299\n19894 35204\n10337 69654\n22858 57188\n24293 43816\n49332 65537\n39582 55019\n40702 44417\n33148 35043\n70119 70789\n50797 85021\n25253 35156\n17862 91896\n29596 38611\n43423 91360\n26706 62035\n79660 80847\n88424 93703\n34686 54677\n18395 32730\n53117 88866\n31244 44992\n81411 97763\n51686 90970\n91912 98234\n14144 59271\n87918 95352\n17949 40083\n17880 26345\n20434 99813\n49826 58719\n73985 83939\n32633 75144\n5494 29098\n3159 55989\n62971 74653\n17325 44427\n57358 86431\n41087 98894\n16635 57626\n23909 89992\n67341 71020\n65569 79016\n44164 84037\n24561 41592\n41319 69537\n7367 86170\n73756 97039\n6319 67601\n36559 36755\n25530 70641\n67774 97973\n67512 89816\n23749 87702\n39763 52377\n12598 58063\n3563 6450\n17204 70358\n58142 79443\n20058 23688\n15405 50667\n43626 76417\n76458 96017\n20512 56208\n45957 83635\n54937 74823\n19817 83008\n26834 39670\n84483 89213\n51872 70780\n14367 38106\n26684 66175\n45141 79401\n50387 99244\n56818 93013\n38443 67369\n850 19317\n50056 81961\n1680 12554\n13882 92137\n17779 98570\n93988 94837\n12333 82204\n21275 42259\n4586 91154\n64731 98522\n17877 94118\n62938 85985\n35942 47300\n26694 90981\n59613 92246\n53827 78221\n5226 68852\n15867 34308\n20419 59279\n94927 97418\n12725 36515\n8893 12238\n8408 78681\n18337 90821\n72085 93209\n57409 74414\n17811 65638\n4670 80510\n73324 93102\n17179 51001\n498 43793\n33697 60278\n26599 61808\n18781 67688\n70975 93339\n22355 65283\n1107 32425\n1338 6246\n11270 49358\n40974 45192\n4932 9434\n46072 68319\n56309 74890\n15234 69332\n42228 73837\n1962 76631\n55719 70412\n60987 99886\n56487 77334\n16055 81233\n42724 67314\n36580 55276\n17078 65272\n10425 80197\n29358 63025\n9323 65995\n32021 47560\n20857 70454\n43659 98196\n46682 73005\n1403 2269\n2362 62132\n12069 66389\n60634 63006\n38918 64158\n7042 62988\n3562 67584\n40392 47654\n14386 42432\n35509 37229\n36109 71438\n24206 51575\n25080 74549\n60249 71418\n56740 63538\n60770 71622\n13629 22641\n56233 74217\n34878 79063\n15696 81584\n32986 84809\n28437 94087\n12376 56732\n27817 89604\n11532 36249\n10847 84969\n23147 57801\n42432 77755\n14399 21040\n1658 82227\n85752 87343\n10868 38965\n62572 70938\n25305 69322\n42511 83622\n13385 78379\n69679 89446\n25230 77701\n27692 73380\n16070 31678\n89140 94674\n70921 77904\n16478 84607\n4336 90211\n22638 80206\n25068 45078\n52045 71566\n21860 35033\n6000 55180\n70615 85327\n28130 47275\n28587 59178\n45907 62662\n32527 61402\n43768 72479\n44517 52522\n37890 72532\n24598 50978\n1063 17277\n82510 88948\n72582 77079\n33445 50781\n41587 66494\n6826 88530\n63534 97405\n52826 61489\n33369 48880\n6786 96974\n63522 95164\n6128 94792\n2904 27560\n37004 48426\n54199 68285\n8799 81599\n73407 98927\n8018 16978\n74722 96020\n41508 70447\n1661 54171\n35416 56054\n66700 79153\n1544 45308\n9710 50780\n38786 41234\n5307 41399\n36173 89512\n33057 36655\n31021 43637\n52600 75786\n61672 93572\n10925 96423\n16297 75234\n20590 77192\n8836 68583\n65995 83888\n18130 62817\n9094 91880\n12959 90816\n5396 59957\n12130 28368\n27410 94414\n60672 74542\n1626 13841\n36140 55841\n22535 28264\n15923 41397\n30810 37651\n31918 36887\n54152 81554\n5781 48650\n39479 53359\n8339 81993\n6365 27844\n67786 70486\n7463 98231\n15343 31643\n14363 60078\n29340 59274\n29542 52391\n48800 81158\n38859 46256\n8776 89306\n10739 65015\n44557 81564\n1664 80931\n19006 72125\n38397 45156\n14545 66083\n26600 47644\n23953 55321\n26510 41935\n53353 72386\n663 21463\n76980 81505\n6786 22854\n29989 44187\n16714 53763\n11489 82236\n11788 26972\n35421 42846\n62245 94875\n77647 83177\n40150 94251\n13866 40276\n33979 56347\n46674 84452\n7598 40991\n21211 90871\n2371 80132\n54548 69185\n33422 60032\n42961 96424\n10928 82692\n11232 15306\n41628 59467\n14804 43014\n9231 70653\n1524 14296\n2120 71900\n19200 68644\n49535 75097\n4109 41850\n70732 86147\n788 88194\n53258 56463\n11586 38674\n12602 86497\n2281 50622\n45256 52022\n17804 66374\n9827 88168\n8990 49642\n26030 79687\n9752 71179\n35205 81443\n58109 89148\n1499 78572\n12973 74937\n11796 43471\n18677 65654\n532 705\n27807 98982\n10091 24459\n16530 71209\n58977 77565\n49454 57241\n59969 84312\n46243 76967\n15042 97763\n50156 75339\n15159 95015\n48042 94794\n14576 95727\n37039 45018\n46960 66512\n38034 46509\n54241 61682\n7503 26154\n59782 96336\n39892 96565\n9991 45705\n78816 95771\n50616 95906\n70545 88281\n33326 88199\n8501 34834\n9710 57607\n32927 49296\n12486 68224\n30109 53746\n56584 58245\n7401 78650\n2006 91138\n32957 81865\n13424 96417\n59415 64995\n43990 58841\n63108 73285\n21880 28674\n23385 29457\n29489 50764\n35121 98110\n13804 86621\n37023 49729\n34841 79015\n57073 61439\n1482 68231\n14115 91069\n14153 37836\n8323 44705\n908 62243\n46127 68827\n45455 51666\n7979 17272\n24445 29756\n2985 24331\n74157 97966\n13561 83181\n62581 86516\n9909 21784\n35641 68821\n72730 81146\n588 2131\n62886 86359\n7193 52232\n30775 72684\n15761 86218\n10523 77386\n66 61507\n18789 54824\n81809 83205\n52234 66799\n56281 59494\n26476 44398\n58460 72754\n79589 80064\n8497 49301\n10018 12435\n31311 97100\n34762 60097\n19148 22986\n46343 59143\n49643 67804\n53364 73866\n23890 44655\n35679 45059\n20959 66752\n32789 98730\n68429 77924\n32984 44504\n52891 71019\n52840 88823\n34280 59548\n2837 86760\n9288 39072\n17071 41756\n57566 92504\n12749 71511\n80998 84462\n68973 82773\n11047 42119\n10479 20655\n20623 87277\n44408 50813\n62395 94008\n22314 43410\n16039 79227\n32534 61580\n86616 93573\n20835 22741\n38809 60801\n13824 58287\n50930 77131\n13585 58286\n65733 92470\n7458 44208\n24007 27861\n44651 87060\n16220 35471\n39288 86043\n45098 78904\n27481 63855\n60157 91079\n85213 96411\n7640 44529\n39018 59914\n39076 85806\n348 4752\n14171 72176\n6337 39530\n51544 73409\n71826 86394\n14432 72163\n47710 93204\n61026 78220\n27438 91040\n7039 66756\n48680 74421\n7765 30254\n1141 49544\n61831 95254\n35280 49471\n72607 84848\n42782 46816\n37110 38071\n44237 86940\n28118 83449\n44271 94910\n32283 43097\n8270 33369\n12948 88642\n66141 77389\n8918 75213\n67093 97897\n54204 80718\n36852 44858\n16198 30601\n7814 84857\n64441 75667\n48311 84824\n12322 80456\n42072 64299\n33726 46324\n28954 48567\n13198 44166\n33884 73694\n60408 64973\n39713 76254\n18573 33505\n66116 71316\n21862 53677\n81200 83104\n86699 97101\n52510 58482\n9504 51685\n24171 62813\n50225 64712\n44204 47357\n33729 52155\n9597 20458\n3715 40514\n32494 87020\n46412 58684\n60325 90639\n17787 21426\n29909 40919\n75315 99174\n21147 46675\n22943 51393\n7836 15281\n62774 84883\n34696 78831\n51654 99581\n8161 45428\n15917 30402\n6929 21493\n41859 45900\n7973 28590\n7956 88203\n52776 62852\n84219 85593\n63630 76280\n25359 89267\n63252 81190\n2765 67644\n43388 99614\n47008 87272\n31165 60170\n60635 65808\n10542 84537\n49978 71905\n2078 75591\n2944 91440\n74562 84641\n97215 99677\n79676 84561\n49000 74433\n68073 81008\n41963 44976\n70236 79871\n65082 79052\n16260 53490\n28715 42166\n11859 25040\n65510 98408\n10291 81430\n83763 99774\n67227 70629\n27306 99700\n30719 49190\n17228 76770\n1713 39487\n63663 65840\n62820 84135\n44909 53969\n50356 69035\n50315 77640\n6533 71789\n7633 89886\n7743 84306\n936 81131\n50743 62103\n12229 17470\n72538 84220\n10517 47370\n24936 66726\n23269 57631\n22815 23969\n28200 65546\n41881 57016\n46814 71388\n67040 98574\n19320 43735\n19029 81705\n71187 73700\n12344 38437\n50651 59569\n62027 94082\n17353 41244\n8808 30131\n49672 53805\n20762 67380\n40606 64269\n9326 78954\n63624 94913\n61794 86442\n34216 98039\n30258 51888\n31521 98391\n75312 90740\n213 85966\n39111 57537\n5827 61090\n66693 72230\n30327 58477\n53114 66049\n10650 11226\n60251 98221\n73101 89573\n71795 77672\n7823 60954\n60267 79826\n58133 97309\n56541 60559\n15897 28564\n88902 90977\n40887 64670\n46136 89442\n80792 96213\n14733 38485\n12545 77046\n55909 58688\n56818 59784\n20967 96495\n14830 57430\n20967 54049\n42696 58561\n609 53178\n20805 71199\n6593 73941\n18422 38727\n55575 58778\n6159 31383\n22927 29556\n36196 57038\n10054 37113\n52108 84097\n24816 76145\n10800 38558\n46822 54093\n71166 94106\n10607 44053\n3670 44096\n41450 94845\n30094 46659\n3707 16548\n54013 55399\n22781 77238\n29191 58527\n18564 37786\n11166 75333\n39044 63916\n172 64043\n39586 65957\n30061 66350\n30365 65444\n40643 48518\n22199 26800\n37572 57102\n80638 97866\n53103 99180\n2778 99495\n28300 93083\n17805 44168\n14056 31125\n33298 89256\n63247 70452\n36620 63376\n31110 67885\n83602 83899\n65351 91644\n79223 92809\n3251 49516\n32688 51869\n22291 87109\n3295 6366\n23899 82593\n47791 96003\n79224 98928\n28944 36322\n28892 65852\n49098 90973\n46171 95720\n56476 84528\n25165 94895\n31052 32253\n4329 21949\n27900 91982\n16089 69194\n22718 85921\n93270 99336\n37438 87787\n11253 57145\n28560 95898\n64635 88718\n31082 93262\n73045 87790\n28409 63285\n41890 50348\n77288 84904\n14761 18886\n54302 86961\n35383 58493\n33575 40664\n958 43356\n24694 27933\n13173 73935\n26899 55132\n65094 93030\n18123 52102\n41727 96168\n43315 63319\n40746 44694\n14099 29625\n17166 46533\n80454 99304\n36576 45055\n33977 62013\n9825 88635\n56000 63003\n54714 89545\n23681 70531\n64208 88855\n91518 91621\n35529 88276\n1888 90474\n46273 95455\n108 14585\n86273 87331\n6655 25543\n11488 48030\n23821 57910\n11550 50445\n61842 63560\n76300 97216\n54456 68307\n14491 99878\n36513 79674\n43264 85355\n37950 90381\n52615 79993\n55470 87777\n30766 92653\n26727 76889\n69555 87461\n32689 65101\n90065 95095\n69938 88705\n54156 75222\n47090 57577\n78960 92324\n21724 80057\n48827 67274\n65049 68255\n45052 50071\n8610 99672\n17015 71576\n35774 94854\n76948 84187\n858 34185\n19028 50333\n3796 54524\n10365 14735\n11973 14024\n10797 29707\n32178 91691\n55727 76770\n42889 43269\n20868 86929\n86419 97804\n87107 88999\n23760 84665\n10486 60074\n35918 54857\n59784 75652\n64546 67007\n20780 57808\n8350 28286\n6360 41378\n86042 98763\n41363 73550\n11416 11433\n1629 73265\n27620 94220\n28117 92859\n90532 97790\n42473 78219\n3384 30652\n62154 66574\n32976 73081\n27815 88827\n19340 70217\n83947 98380\n18125 68804\n36465 77412\n51409 59775\n49079 52849\n2151 77342\n7516 20126\n15052 21680\n26254 90273\n4319 30907\n16735 83384\n85635 89554\n13475 79078\n4186 13162\n7480 63610\n40306 78173\n51185 60725\n1888 10499\n31198 73224\n15672 44912\n60113 82579\n19404 24556\n22762 91957\n66488 78321\n2519 96947\n73607 77366\n66390 69213\n62900 87239\n5822 84172\n31189 86875\n9518 82563\n33511 37215\n57686 76795\n27087 73442\n4070 36794\n27316 57653\n9885 73374\n45215 82366\n52507 78392\n79302 94914\n3651 96124\n88426 97371\n67033 76649\n33646 84139\n49197 96525\n46885 53424\n44908 87882\n40162 68392\n28557 47135\n5071 95283\n15597 66584\n26802 73165\n9250 23561\n12363 84554\n39619 78041\n33089 90525\n52925 89218\n7381 59269\n77294 98425\n63838 81252\n3590 58673\n68660 83288\n67616 90924\n30650 58574\n45687 92071\n53106 96371\n19103 40000\n27564 89666\n49336 80828\n26879 46467\n39970 68192\n19220 34309\n51230 58623\n29830 41981\n23601 85279\n48310 80029\n64595 65146\n30685 49742\n33000 96363\n21666 43058\n5712 77939\n48775 74241\n47739 67645\n29386 43567\n50509 65546\n22147 24038\n30784 46112\n2420 10646\n16365 29818\n15392 48130\n79353 91617\n40842 75288\n89900 94378\n4852 77137\n1321 16938\n47912 70779\n9580 25163\n44196 47370\n59877 88219\n1852 75481\n24381 73953\n55206 60633\n62558 76065\n41639 85138\n6570 82198\n72928 92767\n16216 53210\n3031 52470\n24395 96736\n78796 81443\n44637 91235\n32290 87439\n47312 65014\n9045 83605\n36465 86667\n8085 56972\n14426 69004\n7817 69996\n42315 93441\n24940 45000\n65850 98198\n36454 64378\n58752 85786\n1287 12899\n14140 70917\n39437 44866\n6056 41808\n17325 82032\n4686 13374\n40582 96324\n40235 58335\n49369 52617\n63789 75745\n91263 92277\n38628 94306\n24433 87910\n16800 78940\n17916 88656\n67470 73945\n14297 57899\n67339 83557\n9347 99728\n17895 48414\n29588 89645\n71671 75738\n13135 16870\n2177 12272\n2872 14803\n26467 91605\n3610 53453\n14280 35043\n7449 17743\n35612 63328\n562 9600\n44948 89937\n13940 19486\n16007 48243\n70756 82035\n9745 83575\n17902 81527\n19727 49404\n2353 16452\n9028 16514\n33426 48314\n17373 77238\n8655 26817\n38415 48634\n23191 69486\n39410 65691\n33445 64800\n27203 66519\n25396 59457\n49308 68097\n677 19904\n3020 96901\n20336 57130\n56332 57221\n43285 91292\n69172 75037\n51975 98508\n62755 91169\n37518 75921\n68145 80555\n3440 90760\n26864 60376\n44205 56025\n175 586\n17822 65335\n21175 59256\n34861 86222\n27658 95785\n17925 21106\n13147 26187\n6422 46751\n159 45488\n69326 97859\n31190 63321\n15640 15833\n35790 43251\n22330 39633\n10518 55479\n31487 35762\n27672 30011\n710 62304\n7032 17638\n26935 96090\n82250 87536\n62844 76043\n1755 53688\n8902 93808\n34140 44996\n12041 16623\n23340 91425\n25090 86341\n43413 46119\n10101 74412\n65518 76322\n30513 31993\n57693 74197\n28955 64999\n47552 96463\n15823 53076\n762 44738\n39448 40256\n40772 56929\n6717 39623\n9702 52551\n66131 85124\n50056 53808\n73604 85755\n25111 48916\n57770 62057\n2629 12938\n2695 10306\n84441 91923\n5083 57817\n41755 51783\n15309 36026\n65399 85050\n22600 54324\n69542 98822\n4845 99981\n64039 84342\n70098 75686\n47292 87432\n43173 76498\n8954 46298\n33274 49204\n22426 68922\n10576 30488\n86513 99929\n57068 78459\n21976 27629\n30543 34000\n21408 52961\n52398 84733\n66585 91273\n30913 39429\n12232 52678\n33740 80509\n40033 55470\n35972 49320\n1952 37518\n30622 35665\n52312 53881\n68683 77560\n49987 56232\n3559 6230\n28969 88922\n43096 59070\n77242 79061\n16942 37526\n10273 97846\n25091 90056\n25604 57692\n19797 85941\n10074 96282\n7756 65560\n41723 71356\n25871 71751\n3738 60464\n51831 84033\n60860 70011\n68421 93762\n10476 28062\n20642 59213\n3881 56934\n60574 66731\n2793 57189\n38025 82347\n31377 33805\n78315 99240\n576 42112\n62796 100000\n31075 41745\n45993 58445\n6264 31510\n27164 90889\n14424 14506\n57371 59883\n42855 74871\n51496 78643\n21486 89258\n92451 93850\n15780 44450\n5941 30927\n35259 57392\n21168 90801\n37934 38724\n5952 45025\n39911 56770\n56783 94423\n51131 75870\n9833 65185\n33636 52527\n6349 14694\n64984 68582\n635 93747\n51860 67566\n57301 79560\n18971 43315\n70346 93229\n33807 94854\n38500 89043\n18672 28792\n53255 69907\n3869 88764\n58613 59999\n33091 71226\n64344 65827\n350 6416\n10318 97955\n2118 71312\n13126 32942\n12298 46127\n14158 42791\n8740 44235\n1339 90561\n18462 53542\n25779 91497\n60903 67693\n29989 50347\n43802 51587\n31134 49601\n86378 93119\n6152 27184\n63492 69593\n15932 35472\n68249 99330\n10146 76141\n31693 87578\n16193 41167\n18382 81968\n33224 49278\n57580 76414\n64337 93003\n35619 94575\n27085 77496\n39924 67078\n80778 88380\n861 70862\n44381 75706\n15803 39583\n39776 78863\n10476 79248\n83390 89507\n12214 86246\n25517 97306\n76574 79955\n19920 42351\n55715 89877\n57950 85023\n43289 51793\n25247 38207\n92753 98152\n26577 34220\n4158 66911\n17547 29159\n13602 34688\n27489 94055\n12058 75268\n47973 63241\n33040 56120\n46896 99041\n59788 62888\n583 71439\n65682 90529\n2763 9299\n12038 73134\n23503 62710\n34779 40438\n4525 78108\n76748 85906\n85469 93650\n90863 99113\n81194 84546\n7835 81588\n485 18981\n90352 98707\n49849 50973\n26890 83273\n36911 82557\n18419 50236\n50772 70519\n54932 92032\n14568 42694\n9915 37254\n31811 89069\n47794 92426\n35863 37895\n110 73877\n58391 97662\n68437 96166\n69288 74483\n56023 72005\n11879 52720\n30490 58277\n52714 84119\n43085 58355\n14830 73611\n3221 5670\n27850 65306\n28715 74164\n2165 87515\n14084 67715\n31345 63518\n35391 45310\n15113 32651\n86578 88525\n14295 15602\n61893 93189\n58923 91399\n12120 62440\n22948 66279\n41559 55790\n12096 54173\n1579 44645\n15559 61192\n33037 58321\n5987 80710\n10213 19383\n26145 97912\n2606 10494\n25871 55933\n24721 61131\n53217 94252\n9957 86043\n75059 76046\n23507 64595\n33576 41693\n13124 94220\n72915 82963\n22570 47613\n24562 42809\n7677 95661\n34124 39001\n28424 63676\n16246 49410\n36205 42233\n28870 84307\n28017 28741\n26936 95315\n48489 70744\n55991 60155\n35266 66919\n1774 11264\n20118 62881\n20989 25653\n82337 90665\n2586 67621\n47023 98883\n56459 91044\n64713 85600\n54130 90386\n2987 19823\n36178 98492\n25037 73430\n8156 39841\n30587 43853\n1878 86485\n62061 96471\n8590 56297\n8048 32734\n50535 59836\n5312 87246\n15435 77713\n52980 74337\n35103 50965\n10465 41570\n13997 97528\n729 72408\n9342 93762\n92546 96769\n37553 91733\n19689 55256\n38276 42041\n18433 45812\n23429 81916\n3956 52557\n625 44266\n1239 2687\n17988 61615\n29209 40764\n2676 11302\n4672 17469\n36476 63523\n91190 91789\n16354 25762\n44313 81373\n31258 79889\n62626 71659\n60272 91446\n76430 76756\n21548 70248\n5251 49996\n39567 92055\n19188 95341\n27532 48464\n47377 52930\n42509 62232\n11611 62516\n5062 16690\n3014 74731\n23070 59846\n40824 66862\n20745 30775\n2836 48829\n41404 59002\n60954 72362\n50419 71179\n65148 94434\n41196 48873\n6561 13581\n58014 61901\n26789 38487\n55461 88084\n2292 74764\n48802 94678\n46343 94015\n60055 72433\n82703 86708\n6317 70391\n20147 70379\n35882 62493\n10958 61052\n23125 81802\n80647 87030\n20910 32164\n24415 72143\n5563 13618\n28840 85205\n37054 71545\n3379 87679\n75446 87040\n18425 25867\n26801 97364\n6597 72480\n18702 49678\n57700 81389\n46430 60296\n73395 78631\n47626 82011\n9281 23791\n58521 99255\n14696 51118\n41063 81205\n73859 84049\n40812 58856\n43596 86258\n39156 60765\n47737 49094\n26115 62479\n30582 56563\n51385 90253\n4359 43618\n31231 82091\n3915 27771\n13618 67343\n4821 96816\n71838 90202\n46864 85627\n17536 63924\n65248 84534\n44998 82553\n83509 84638\n5328 75690\n490 32424\n38126 42507\n48554 76129\n12730 29482\n2613 93666\n16259 58876\n12603 34345\n14089 19000\n61459 67559\n2985 65614\n19953 66318\n9478 62755\n67371 72783\n28924 30355\n33516 44989\n1774 93407\n15069 32391\n44313 86196\n46954 53050\n57767 60373\n18377 47715\n31087 89082\n5647 96525\n33097 57361\n6867 53277\n15573 40196\n52042 85266\n35053 59935\n56708 72307\n52216 99268\n50277 78710\n16813 83050\n27294 71079\n15391 33809\n35497 71529\n13088 88143\n93710 96058\n53013 64499\n32443 34237\n32355 65637\n53886 69700\n36305 48817\n31136 58122\n17039 62532\n28576 94392\n934 52671\n28270 94688\n1447 48231\n15362 51882\n44241 76046\n28721 81692\n43852 67601\n49167 93230\n43170 65552\n1736 13427\n71812 97991\n52865 90818\n21372 47349\n1763 21909\n94589 95268\n1458 87387\n16321 82471\n97150 97757\n22687 30837\n16332 50270\n736 75492\n12213 58630\n68815 72917\n49060 63790\n48854 50325\n29616 38781\n16177 74602\n61275 63314\n16453 37301\n63841 74007\n9783 24150\n23489 94040\n76190 92049\n10685 49350\n2487 93129\n15798 79445\n44269 72336\n4063 53271\n38275 47448\n3168 96864\n44353 99868\n59709 82128\n12443 88941\n20532 85937\n20955 35607\n48232 92683\n26109 56688\n8893 34054\n40025 85302\n12268 37391\n22565 79015\n74572 84693\n35345 92785\n11270 32733\n18105 99883\n86800 90260\n2113 75289\n11668 66545\n50488 75279\n54617 73559\n45647 46560\n23145 47238\n37899 59865\n13882 83545\n49569 63439\n58681 91521\n31433 50406\n34960 46872\n80046 96608\n43006 45541\n34928 56469\n53174 62971\n63605 79314\n58840 63881\n42338 53144\n24758 95480\n17802 36325\n46638 65726\n1222 33258\n56222 78295\n36182 76973\n32594 35633\n82303 89012\n44792 91883\n5356 58408\n57820 91990\n66519 81176\n44298 51278\n16985 96430\n32040 99136\n6586 69943\n3566 15607\n72767 92132\n9726 66851\n12439 19242\n74788 88698\n13613 58603\n27121 32646\n29861 47287\n15550 56321\n18404 98135\n25307 51973\n51901 63716\n5462 42329\n8721 51347\n58100 79934\n14773 80939\n75862 96954\n23118 85533\n31386 69702\n5583 41505\n3151 90291\n32055 45249\n16662 53249\n35105 65311\n671 18470\n6549 68889\n48289 77596\n44969 75567\n55172 73361\n33494 49708\n34486 57874\n28212 50645\n70483 88685\n61955 68599\n47088 51645\n19430 84856\n13539 62317\n14918 54999\n32176 64968\n3827 24861\n23321 52179\n3126 31547\n6517 85008\n58805 76544\n6293 52032\n40331 92648\n53533 79667\n45689 54099\n80999 93572\n25913 78680\n43471 98131\n54553 68662\n3160 68816\n91678 93707\n29767 84873\n43873 94358\n12418 30100\n9614 45451\n15912 72876\n24107 57403\n26233 55256\n3380 77013\n41220 84089\n17686 42621\n62499 92337\n53532 69694\n41857 85734\n9559 68918\n29267 87175\n39545 87917\n16108 20132\n57010 66433\n22795 74379\n45001 87530\n47924 75813\n25838 46489\n4896 69340\n24439 24647\n47748 54081\n59386 59790\n25593 87689\n2347 91411\n18477 38290\n21288 93774\n25660 60684\n10061 77174\n30958 76136\n26726 57906\n23716 28302\n38893 95814\n68018 85983\n1482 23714\n16191 37585\n27250 98770\n21496 48787\n41588 76334\n5750 41165\n23279 96149\n25800 44578\n31910 56785\n52201 67261\n38583 64475\n80498 99750\n4726 21632\n86253 97093\n7469 12786\n6161 34345\n75133 99586\n42310 71499\n10881 36287\n13921 57575\n7978 69067\n11928 15902\n26491 26858\n31297 89402\n14414 26003\n17807 49748\n5007 95629\n76407 99865\n30187 72091\n575 93152\n51485 72377\n162 51965\n27024 84094\n9815 79973\n58143 59413\n17921 89818\n8843 75869\n45334 56769\n43921 88927\n84500 85625\n3994 28631\n77167 85728\n9671 20042\n21580 65731\n12732 93515\n15332 73789\n9262 43418\n39279 56156\n66855 99599\n2616 80193\n1521 51617\n75574 85437\n68514 97093\n10392 61313\n33000 52304\n40858 97281\n21836 65335\n18553 58915\n27223 36328\n35901 88598\n46659 62090\n33111 99659\n97371 99196\n16371 57119\n28405 36053\n62041 82616\n92043 97017\n71211 72834\n15069 89901\n45116 91965\n76858 77220\n13939 24009\n66130 77807\n23013 76467\n46042 62091\n679 55134\n58366 74331\n32152 61305\n51662 91139\n6393 95651\n67296 77549\n1985 62216\n5416 14301\n77260 90761\n34698 74833\n13332 95582\n15042 57132\n30753 56073\n59267 73079\n64406 86639\n94584 95657\n26341 56890\n69449 99657\n5799 29756\n30189 80765\n10066 12916\n29024 67102\n9725 20039\n7258 91622\n20988 99772\n33959 97975\n715 6238\n9538 68114\n51304 73393\n12530 17621\n5282 31410\n24831 46661\n40240 79839\n16711 92262\n58063 75378\n17578 19341\n21714 40247\n55570 67039\n52500 55993\n25886 63381\n29375 96257\n84088 99623\n23724 63550\n57271 61928\n18791 87909\n19743 99190\n67755 94910\n9058 56415\n31364 63577\n60927 90562\n34872 53475\n28528 75234\n28891 68141\n1793 10232\n63359 74563\n36993 97119\n36928 97739\n7346 90826\n36204 49561\n27451 48037\n35439 99763\n1482 39383\n13734 23838\n64997 83286\n89791 95480\n65447 85706\n22112 85554\n4324 16132\n9288 54836\n83718 97852\n14634 74449\n8647 38548\n23436 54723\n58093 61815\n13352 68792\n44831 76728\n16214 82943\n80565 81615\n2379 33837\n43662 71845\n19850 56337\n30338 88468\n17830 20568\n11046 62305\n44676 56112\n11258 76957\n176 94904\n69955 70264\n35718 52867\n13070 84743\n17577 27493\n25589 94177\n30187 44874\n69243 96725\n42756 76239\n1391 19055\n59048 98195\n30523 36674\n11466 32278\n31564 52427\n2143 56817\n75358 91767\n24421 28589\n41482 67546\n60559 70198\n75699 79997\n74278 83145\n8816 29064\n20260 75915\n10727 95756\n44992 62389\n64465 71910\n47905 82637\n48178 85485\n26623 32358\n32577 71540\n50219 60973\n34046 75827\n81872 86837\n36602 48647\n28653 99014\n37137 95293\n46654 51337\n62370 74030\n29700 93690\n19697 28815\n76425 99656\n59810 63741\n56719 61806\n11957 63358\n25086 80657\n2135 49286\n3640 72577\n6506 90143\n54398 82093\n15144 76689\n3420 48336\n48567 58383\n66678 75091\n54851 87114\n50475 69592\n51289 84805\n35937 87243\n17177 36823\n21619 96739\n27667 35265\n33979 39783\n44242 83358\n46266 81931\n75416 98858\n60707 97649\n17410 42799\n44089 79340\n18515 89839\n14967 87154\n4207 18683\n72749 87449\n63861 84371\n19018 65367\n6449 24171\n14729 56124\n26020 78805\n10881 70468\n78169 83679\n19198 87888\n6191 75359\n61322 72815\n14757 83877\n34516 38689\n30511 50122\n68410 93002\n6032 23049\n63076 99810\n68536 85947\n29442 46928\n34709 85111\n46074 87266\n51033 58461\n41786 43416\n16619 70564\n37627 59798\n28223 46160\n14715 57806\n43540 80251\n23774 50440\n45616 54097\n27602 29325\n3499 86509\n52395 66520\n78631 96885\n28097 60527\n17874 83307\n53716 68320\n73871 91819\n18170 49149\n39023 64770\n12626 97109\n22339 57304\n1413 18733\n9082 65947\n43742 73576\n13411 85494\n55686 84881\n42361 55321\n38662 40155\n12634 57338\n1312 70130\n65910 99828\n35329 37303\n27813 57866\n33071 53382\n230 95966\n15183 83810\n45630 74337\n47462 81216\n55626 77204\n71537 97004\n1176 58930\n69454 92853\n36631 78767\n3988 25060\n8030 44588\n19002 76724\n30886 50744\n78868 91491\n80316 94418\n64181 78459\n18156 42732\n466 76501\n11176 55654\n17179 66397\n41406 69695\n43235 77835\n54515 85617\n9576 71260\n34024 90868\n23902 84567\n54604 58687\n14053 84874\n26372 84148\n25986 78620\n40402 43904\n52994 82615\n17845 84641\n28012 67236\n88657 91626\n24054 42505\n11239 59577\n55543 85557\n21564 99843\n6972 62527\n9751 19535\n9379 73126\n14265 51188\n47335 66804\n78183 87555\n17852 25490\n27398 95594\n24506 48941\n14336 61015\n19173 78877\n20637 88444\n21445 86280\n54929 62917\n1074 11954\n34823 71309\n4466 54952\n77114 95566\n41272 51562\n41085 88457\n51683 96388\n47426 64761\n7833 29321\n57710 92075\n43516 99919\n27657 91159\n18921 35618\n22254 57114\n68792 77053\n1509 52745\n26961 34573\n18694 54119\n34466 77564\n40040 60859\n36330 56842\n31208 41717\n29688 76970\n52984 59074\n15529 19726\n12098 15299\n19873 73184\n19636 81969\n46507 71978\n53645 66925\n67806 85999\n21617 35614\n21761 30596\n37281 69494\n30709 51346\n25768 28404\n21151 21436\n6550 77718\n39539 82464\n69488 99000\n640 39272\n3017 30012\n8362 65769\n54340 67686\n21689 95004\n72984 78936\n7459 52493\n63012 86347\n82095 93845\n24699 95628\n5259 88837\n20538 91259\n34028 92428\n61147 72618\n76921 99137\n36869 97230\n54053 59556\n54237 94702\n347 20938\n22589 42754\n16665 53642\n28465 68915\n41344 77298\n59129 94008\n21341 77959\n4287 49530\n36487 86093\n17693 44087\n27739 40003\n49682 55313\n58618 97098\n64376 73888\n39192 62038\n10746 94837\n23026 66265\n16845 29250\n36030 67600\n358 58284\n9036 99879\n10739 73953\n69446 71466\n23685 96045\n29984 75078\n2582 61681\n48796 65501\n4877 94506\n26714 29765\n42342 89847\n71947 96150\n50395 76187\n23442 88964\n4855 48055\n13813 54241\n69652 78899\n9996 23492\n22458 95045\n25736 27222\n215 49708\n24151 68076\n34467 91234\n48157 60005\n918 45910\n65922 71024\n56116 82676\n65115 89819\n34274 72461\n33644 94288\n6022 38360\n60928 74170\n47857 56482\n13342 96317\n44737 75303\n3869 92723\n70065 87509\n32398 49360\n20468 86557\n12288 15690\n64019 92552\n4381 86519\n7331 66777\n20583 27700\n4932 40701\n30726 95911\n93454 98741\n34794 35369\n41573 92907\n49740 52143\n5050 25056\n9933 91026\n40272 54931\n6617 75375\n17354 96947\n12690 59346\n23502 66798\n68921 88959\n43031 65087\n90007 94310\n12786 97859\n84667 99799\n24660 94624\n1340 83111\n41820 49588\n81533 97835\n30892 63054\n46962 47725\n36076 50404\n27852 69474\n45539 85802\n30496 56200\n15505 92976\n29943 90823\n81405 83245\n7788 14138\n45007 80067\n30079 61354\n30668 74356\n19780 29944\n211 92943\n54018 79263\n53752 56076\n47118 81658\n19765 55512\n64431 94396\n26032 97644\n12427 73887\n25119 55907\n80084 92297\n76774 78052\n22656 47756\n38441 68525\n2375 37594\n36943 39446\n22516 23463\n14148 71252\n22575 27918\n30160 39969\n51359 89591\n951 75865\n32866 80669\n49602 61909\n23250 65559\n32569 46536\n2129 15622\n3233 44237\n8143 73123\n28091 64224\n28033 34019\n10448 53760\n33660 73122\n39841 53104\n42005 88141\n19712 59584\n4097 19310\n18578 79503\n7834 18223\n5188 61512\n8815 79695\n67614 96548\n1294 79293\n62510 80092\n3533 92183\n90027 95034\n63755 63800\n5662 41905\n30842 66143\n1035 8195\n55214 77461\n21863 72775\n7213 91260\n52104 96095\n77992 91330\n25888 30731\n44305 65492\n18833 97140\n62867 82338\n22653 48063\n35206 79791\n55297 98440\n57697 77438\n57202 97426\n46606 83357\n47974 97353\n64563 74136\n10683 15270\n39189 65831\n37502 54066\n5213 90201\n43080 80539\n6747 19089\n69276 85370\n74020 96322\n31570 34189\n63909 75267\n28120 66216\n79206 92825\n33891 78016\n8306 26080\n30483 83254\n34839 93140\n23226 76062\n44314 45265\n87703 96241\n73588 98652\n26957 46006\n74361 94521\n26679 75529\n22171 41260\n52249 96103\n37200 84642\n16114 45306\n32437 57341\n1520 59035\n41514 95705\n19087 96599\n64649 83242\n1455 54364\n73053 79797\n42633 45423\n59209 64307\n38192 82937\n33029 91038\n17275 81070\n40135 40803\n15822 19558\n30874 38841\n22886 23063\n8700 88245\n10888 83969\n28941 84496\n22068 93656\n7858 69544\n40714 45496\n15178 40236\n45382 89571\n72955 85237\n88570 96698\n21673 58727\n38581 93884\n21819 53187\n34251 80269\n39306 89094\n19211 38490\n68045 69766\n23693 70735\n37683 92638\n89451 98457\n35850 93436\n4171 43426\n39548 74902\n46244 67426\n57977 84652\n67497 92427\n16543 44803\n40900 95971\n14572 49624\n38335 60258\n24967 99387\n44979 87794\n486 50148\n57858 80090\n53517 90497\n17432 89092\n37681 85192\n28573 65731\n75208 92961\n18317 50247\n7683 65918\n9271 66329\n63153 84342\n39827 98116\n5181 32204\n37437 54515\n56464 97772\n13125 38317\n42598 44369\n38001 71605\n4648 72119\n31420 62452\n39753 97116\n36829 72765\n1336 33462\n30670 84840\n21177 37385\n62964 98350\n26943 30976\n47821 48546\n4175 66586\n60729 76024\n3289 96632\n54177 61588\n16646 70523\n59499 98972\n42219 71462\n25251 87591\n56263 85900\n27544 56372\n8531 58573\n20697 81703\n20680 97744\n30055 95506\n12374 24248\n65906 94342\n15810 45057\n15376 19410\n37731 53450\n63428 89792\n4792 55797\n80890 98233\n5419 38513\n34771 94093\n34237 81859\n1337 93603\n60885 79115\n33599 80718\n73522 96285\n16700 34400\n32052 47621\n91999 97145\n14086 55846\n62465 69210\n3526 83480\n1462 11860\n5424 39024\n13931 82162\n2322 97744\n41460 99009\n21769 24486\n38086 83519\n35312 85768\n39976 86922\n4358 26592\n396 47000\n11529 52784\n15591 86441\n6852 88724\n1363 50921\n46458 90390\n30843 36995\n5388 95868\n19508 35290\n31126 80371\n39207 64465\n35751 39549\n31393 66030\n79238 83639\n17218 95590\n13721 52401\n7405 26599\n96201 98924\n12521 12893\n80622 90343\n42402 45064\n33850 88239\n54622 83643\n17092 22248\n10992 89845\n9656 91436\n7862 73167\n22976 33267\n63520 73983\n6368 14735\n28643 43524\n6610 75372\n6577 31238\n18108 21165\n1200 74922\n7910 77688\n55310 64281\n31232 98611\n24948 38437\n42253 57824\n31229 38645\n38162 94177\n19570 71387\n31271 35681\n22457 25329\n72925 82991\n16181 29339\n16065 61525\n34406 40216\n7639 94390\n50389 61065\n86764 99018\n60044 90301\n73232 83025\n20342 48184\n6084 83935\n4869 30216\n10756 13290\n3802 65985\n15638 92752\n38495 82522\n16261 70973\n3177 9846\n60358 64060\n19321 90577\n54743 77818\n38578 79749\n31037 99759\n7396 14664\n25564 28183\n64866 88891\n17138 60865\n31351 66902\n77019 86668\n869 32426\n29277 77914\n31474 74464\n33468 49445\n50562 75515\n41989 65420\n21118 28474\n18025 22418\n52693 90349\n23609 44699\n29508 93010\n62805 77625\n33703 97001\n45952 68923\n51374 69115\n3056 14893\n59601 78888\n56581 70499\n19771 37725\n29814 82223\n25063 99439\n30736 61981\n76569 85277\n2689 85415\n22685 95043\n28596 57749\n11786 12262\n29125 66633\n57444 77377\n61215 92646\n4857 15819\n52574 89254\n74420 83878\n19135 35058\n55251 59567\n44412 51430\n33912 58054\n3492 35585\n641 57611\n55029 98744\n21425 40888\n1529 7609\n14216 81527\n88046 98639\n40035 76606\n25334 84928\n24412 86779\n32018 98111\n47864 72593\n60553 91242\n49433 94779\n9117 41579\n34739 60441\n64121 72928\n29772 42627\n32951 41109\n13804 65563\n7105 70503\n69245 94372\n7261 27404\n28936 45404\n3677 76909\n23339 68120\n17342 80161\n85080 99772\n24668 63266\n41748 47916\n55582 79997\n3148 93985\n92121 95831\n25559 68900\n17462 32198\n55597 87481\n9524 92066\n42568 89247\n10567 23542\n52153 85165\n25340 65813\n10489 74090\n13932 48963\n3557 8575\n57032 69122\n6609 42167\n93511 93777\n31826 86264\n2260 32291\n50897 85408\n922 66783\n20369 72380\n24657 89481\n33883 39007\n22794 53199\n28115 43774\n18605 80630\n25867 33517\n3072 37064\n14768 52761\n625 67869\n31820 88073\n6392 29355\n51064 68240\n37565 69403\n15310 26007\n7329 9818\n70484 71979\n26263 58066\n86359 90178\n41003 62010\n5510 90967\n68242 93610\n678 87636\n14861 65407\n26886 57393\n28917 43745\n71016 75577\n4015 78077\n26574 40633\n72518 99132\n67672 78539\n74318 90239\n25655 92273\n81384 99073\n23062 28436\n48138 91821\n21251 96150\n70378 74203\n46227 97771\n39489 45253\n2340 55219\n31774 40301\n16564 68512\n43309 53050\n93470 94913\n3617 96622\n14816 15593\n95 54550\n15132 52621\n45346 64567\n55459 65205\n33094 33589\n30735 87137\n92813 93258\n66934 89515\n82113 88239\n1704 63603\n89176 89657\n51057 95604\n12820 50877\n43574 87686\n37970 72837\n36928 92935\n25948 79121\n17954 49553\n80415 83660\n58657 93863\n36188 70691\n77010 95583\n52568 72708\n19320 49649\n8590 38208\n70020 81958\n7194 58990\n82572 97909\n47988 98575\n62189 66308\n38095 68455\n10954 13189\n6645 29734\n49253 81965\n34041 92025\n42501 73355\n17675 76163\n29886 65980\n8615 18025\n56337 67311\n7697 81864\n53834 82286\n46816 74312\n24182 71821\n12285 56136\n4442 38600\n79719 80532\n63306 84755\n5083 93625\n24180 81192\n17968 61088\n9788 57047\n2163 94890\n1335 63509\n20661 66113\n5551 81659\n41559 66219\n41777 98478\n26944 31350\n15629 74384\n6850 32232\n36947 74057\n85716 86497\n60567 93179\n43957 64112\n71974 86087\n21831 74297\n56 86021\n70145 90916\n8082 17508\n40914 70744\n3812 97410\n23127 25627\n12579 60240\n70840 71572\n79589 97695\n6647 84432\n10221 50335\n76216 79486\n56319 85668\n49769 65651\n40493 81757\n28267 83923\n46163 58369\n6046 27206\n45122 99708\n21010 82900\n40886 98834\n2273 20283\n22745 73208\n58696 60651\n12668 29814\n37277 59595\n49569 92511\n27428 59887\n36277 54658\n39543 71737\n53710 91806\n52570 71156\n64146 67100\n71761 89924\n3283 71766\n23910 57319\n15109 82791\n33480 93007\n37159 75015\n8149 74709\n370 29224\n7201 61494\n8328 89128\n32937 61634\n10271 21302\n15946 95567\n13266 61892\n43075 53545\n20988 28582\n78160 83886\n35480 72158\n36652 97688\n7643 58764\n7490 10305\n17505 55855\n58848 62701\n32266 34825\n69704 81583\n6270 81677\n8111 88472\n36486 42866\n18750 79048\n62403 82563\n35503 87059\n25759 89750\n37005 45927\n82042 96071\n28374 29291\n13922 87879\n4691 97393\n44190 52927\n48209 60000\n18980 78591\n55086 83129\n71574 80182\n6013 25458\n22878 95804\n6844 38475\n7688 29688\n4568 80616\n5574 59471\n47534 86503\n61527 73303\n44752 71463\n61790 74318\n9991 56757\n73932 89927\n40067 47814\n21485 46413\n61657 65657\n17680 57016\n95808 98304\n35480 53299\n9166 45828\n67404 76319\n863 23177\n85682 86058\n56408 64007\n30389 70284\n558 26036\n36945 79524\n612 14297\n10132 38237\n43062 57949\n88546 90267\n35098 43134\n2800 22612\n20427 77625\n43768 84998\n11928 37664\n35598 92985\n39730 72182\n81097 91753\n3272 24329\n37250 99415\n68321 92811\n6386 79523\n24022 91121\n9129 16367\n17435 56580\n67662 92785\n81033 85145\n8068 93193\n44632 71614\n53149 56849\n17915 37706\n51301 81685\n48512 85328\n81470 94012\n54650 91806\n39236 59854\n34821 70747\n4749 79759\n3270 54349\n18435 95126\n4380 83541\n26637 77607\n48252 70136\n34285 62991\n55547 99962\n24690 40652\n18683 33900\n2448 34599\n29057 29513\n59027 82168\n59022 64326\n15457 20723\n78312 85203\n6638 15281\n1274 75374\n25234 82783\n21467 95073\n37859 56758\n5371 94482\n51926 99962\n702 22685\n42554 43157\n50643 79046\n22548 32136\n26280 38893\n16287 79521\n64114 79367\n43182 50868\n25763 85023\n33901 95390\n53707 63464\n74927 87294\n54380 66626\n52634 82354\n13496 31304\n26599 84787\n15288 49651\n6166 67505\n41574 75960\n89916 92636\n40323 64078\n5364 75001\n69465 74557\n34946 70275\n26840 43544\n23146 62115\n76866 98247\n72469 76801\n6980 85581\n32915 65986\n29280 44662\n11044 91807\n14684 37665\n11683 69009\n50157 87478\n4828 34591\n3290 66689\n7276 97796\n65610 74120\n96815 99369\n13924 22827\n17312 61983\n981 77008\n5645 83767\n31012 51509\n72691 93061\n39697 43256\n7249 55923\n18365 27980\n18007 28238\n39956 53639\n10834 23575\n72962 98798\n46064 47141\n81110 90551\n35695 64638\n43133 63264\n22878 63736\n62171 81473\n49133 53735\n27769 60876\n4564 57711\n14459 29424\n18660 42324\n62486 99780\n43750 56478\n3820 61539\n30816 83227\n29296 34798\n27041 46628\n76156 98054\n11531 56216\n1628 25276\n40097 53106\n5513 16832\n20452 88289\n37196 89736\n1505 33089\n5846 68444\n17372 94096\n18307 60411\n12447 31864\n16239 41988\n17466 52676\n63339 66929\n68687 79836\n3016 53085\n50121 63673\n17560 84566\n81024 99512\n57127 95156\n22414 68784\n29385 96361\n75135 94934\n5058 61109\n75220 86948\n1443 87677\n58085 94715\n45008 65126\n38218 74064\n29736 96275\n35487 68723\n24060 90731\n4126 99609\n71551 92922\n61964 72232\n69787 72887\n39035 54628\n28404 69451\n14551 98113\n12203 73667\n5708 55484\n22493 41669\n726 99048\n71015 72667\n42113 45664\n32179 86035\n52356 89135\n65385 67456\n50426 88645\n6533 16916\n8326 44329\n23008 67506\n45020 98085\n48280 84214\n58497 74350\n14776 82187\n51414 81024\n56659 87689\n41613 80558\n52161 67125\n8098 13534\n28911 92683\n21037 73240\n5754 69516\n55104 75629\n72836 95973\n36022 69169\n15056 67917\n45634 88499\n26401 54500\n57382 82189\n75802 83855\n7331 81870\n20164 49327\n50431 55236\n23296 63093\n84310 94093\n13145 71814\n92454 95948\n76310 83751\n5534 27490\n16096 75651\n39740 76017\n9298 26310\n1834 85901\n3822 82919\n31774 69569\n22661 73397\n54144 60868\n72620 96856\n31308 61113\n19215 50556\n47080 98058\n1206 73359\n51036 99012\n75203 82295\n41317 49941\n4593 38959\n48268 84047\n65664 82285\n18386 77356\n22348 22575\n28786 94722\n3937 54462\n39704 92349\n28216 98983\n1425 73657\n3733 21567\n12821 81356\n68935 73063\n36125 61132\n2455 50622\n9573 12914\n27159 33266\n17248 99181\n58491 94093\n288 67266\n6659 55117\n2780 93173\n2551 75999\n46323 78538\n13550 41246\n64094 72347\n15579 36299\n21200 54327\n35338 58747\n15129 80428\n3592 46797\n35998 36090\n35757 67056\n62845 78480\n29198 62325\n15712 60802\n35363 79737\n8841 40213\n8817 71256\n17161 70381\n43772 62042\n76364 89207\n3942 96176\n65247 98764\n45441 71347\n85970 91172\n59933 64505\n16553 55916\n9590 66463\n11682 69810\n64175 67103\n2809 4920\n28795 51148\n33120 74236\n34980 62964\n16092 34245\n14643 15344\n30307 90720\n23745 46124\n1818 50591\n45919 99926\n68560 93686\n11664 82294\n13186 57510\n37364 39599\n11564 89254\n29514 34489\n594 84874\n35384 60138\n38492 66565\n74131 84131\n9998 41648\n26329 65301\n19352 28888\n37023 90106\n28919 72480\n71056 75816\n17407 42016\n42534 76927\n20598 54586\n31775 66964\n54384 76832\n45041 63755\n17347 61963\n28135 62352\n67795 75133\n8811 21538\n41350 85732\n40540 40913\n64417 87967\n7993 42367\n23948 24317\n73308 87585\n33304 85852\n56038 76905\n70236 92322\n82685 91770\n24724 30447\n36153 68468\n2092 2441\n59728 72538\n43491 88855\n30510 53355\n7478 24716\n472 24586\n18199 81981\n40385 73292\n4750 67393\n22947 29672\n54260 69031\n17824 82330\n33262 60760\n4739 32286\n35279 99652\n59839 69106\n49583 73601\n76846 77482\n3743 89508\n10238 78361\n13819 40069\n44592 97430\n4659 55757\n91 86961\n37904 74319\n31403 94538\n46689 76279\n70616 99891\n4836 77745\n43203 81742\n8489 66390\n22632 83740\n22435 57393\n35352 35398\n5987 65810\n43429 54254\n37385 83364\n9567 94266\n17572 51021\n44158 56059\n3335 86352\n4087 87091\n19133 99405\n46604 55333\n17151 77406\n47925 48043\n74925 99935\n47980 53385\n3759 91766\n23657 37691\n67215 98837\n86882 88932\n13620 58280\n58649 91047\n2563 99825\n16169 21849\n58598 97044\n17044 46108\n8389 9492\n795 98731\n54236 77229\n2412 42211\n18516 49434\n21137 62520\n25701 62802\n12338 78931\n45595 55659\n51688 73423\n30589 94767\n85995 92769\n13541 15337\n27147 87224\n3109 94010\n31713 69989\n39997 57901\n39797 74638\n77437 81146\n37930 77080\n83281 88881\n26188 39565\n21121 30774\n16824 41342\n71259 82903\n52754 91396\n80038 97512\n12063 85589\n34795 46876\n29781 61608\n61000 77822\n66300 83215\n20850 82634\n25954 72201\n5509 25372\n14128 94356\n48448 59813\n27501 36123\n39823 54333\n42697 82469\n21591 22271\n66376 80155\n85649 90334\n69343 88093\n56297 70820\n10802 74796\n51123 77399\n27111 39292\n33937 60208\n12631 17436\n36860 37432\n62894 83396\n29349 86281\n34695 35215\n37580 53920\n11560 11787\n25191 84490\n18757 47408\n1052 44449\n29718 59211\n41680 66912\n20809 50224\n50676 97751\n51331 68417\n11891 23520\n19418 53226\n18325 55363\n4099 45169\n28175 60950\n76723 79752\n18327 75117\n13231 86647\n11551 69311\n44597 69755\n86150 97222\n35032 86026\n15764 16677\n57793 81042\n69702 93823\n19935 42219\n17330 36458\n23572 60645\n78505 96895\n11073 71014\n81776 82916\n50909 71043\n17936 38628\n14316 58109\n6404 76124\n12578 49371\n54329 75359\n60206 63472\n27433 72384\n33396 99467\n15772 98149\n57016 75256\n25900 44615\n69335 82165\n16333 18164\n12824 75400\n31483 44354\n15014 55105\n51342 64683\n1876 55355\n3507 77207\n53348 76339\n67104 86966\n36072 96050\n10150 88494\n55551 58963\n8652 81770\n66958 70118\n51626 84839\n2946 43798\n34889 65666\n37002 59718\n62010 99943\n13069 20527\n12883 29000\n73559 91020\n3913 24790\n57719 93381\n9055 65861\n44359 66946\n36725 92834\n12808 14229\n87977 96813\n38196 77396\n40811 88373\n15657 41949\n38456 70180\n3257 17146\n16751 99237\n405 69388\n23321 39317\n943 78025\n11288 17605\n2257 4912\n52420 60700\n11961 32395\n855 57937\n20691 83121\n24265 75989\n24811 59379\n78019 89733\n83368 87459\n56330 93776\n1499 40954\n60956 78116\n47904 65561\n12652 22662\n80853 94480\n21288 54931\n52157 77521\n35598 46789\n36549 69639\n16865 93218\n54145 75715\n57546 89901\n17962 57934\n25584 42447\n25052 84617\n51089 74337\n84768 88083\n7711 51195\n28637 35683\n12857 27060\n44711 45602\n30381 58751\n572 89665\n36534 86233\n72252 88387\n41397 63705\n67402 84940\n17182 76058\n38415 53812\n56056 84856\n12728 69053\n7988 53210\n12374 77653\n26709 99768\n32005 50718\n9433 65209\n63045 74037\n17269 43193\n40240 41854\n54286 97666\n20638 32672\n7324 74820\n85196 97995\n15767 70043\n14158 82864\n3249 68813\n4854 91141\n13104 93174\n43380 51920\n3780 93537\n26455 85057\n2366 96024\n15300 41057\n8652 96413\n50885 84460\n41 19297\n29083 52470\n53134 94508\n57522 97970\n17521 48221\n14307 90511\n59499 87274\n53602 68156\n33583 53480\n69814 99861\n52675 55740\n70133 71949\n21730 84407\n55713 78617\n50105 85686\n36372 56567\n38018 58956\n5254 71086\n14708 26450\n56548 92695\n7428 68383\n48882 56081\n23947 36821\n32046 38798\n2201 8332\n35641 82097\n39420 63771\n26472 64642\n10799 35010\n74810 91282\n15558 60127\n30944 32249\n4792 82385\n50915 54409\n15604 44426\n59322 77794\n11870 96496\n44700 74644\n34438 81009\n16185 91532\n77628 92036\n7292 55488\n27519 51365\n67774 73513\n3573 14158\n28320 83415\n69687 94745\n3107 72902\n14582 40882\n33359 59891\n17365 24357\n4543 88004\n72058 75967\n64743 94490\n60658 66837\n27344 73357\n43311 82994\n10798 40658\n30391 47140\n4447 61189\n79496 98293\n14057 81924\n20267 97605\n54830 98579\n213 40678\n45043 48140\n12168 94840\n59927 82237\n791 24940\n6443 91724\n79719 79854\n21911 35900\n39619 59266\n30831 78044\n16378 99788\n22291 28718\n14369 54891\n22309 57188\n20001 55891\n92284 99672\n16767 64478\n53474 55956\n2912 17355\n49007 97895\n30044 96859\n43915 56413\n20673 94486\n11248 27480\n46952 63530\n6587 50787\n17581 35304\n10952 72334\n5405 37737\n40320 47616\n52562 77007\n31552 60447\n57004 95285\n40387 48006\n28610 85028\n55344 72157\n39672 49999\n67227 97499\n5787 47180\n7793 39818\n30219 63598\n29172 52521\n48507 83925\n4057 79602\n45691 96756\n88220 94968\n19858 83527\n53306 84420\n40589 61880\n11859 89253\n90339 91269\n16097 61194\n37637 80459\n39824 93775\n68856 90752\n75393 93110\n23363 41520\n228 675\n48883 83715\n18558 95315\n55411 97728\n39702 51358\n41155 95643\n9111 96815\n7670 84117\n63468 91695\n17029 34780\n58152 87020\n1469 33131\n30127 77070\n36204 36685\n59746 92911\n25203 74909\n46604 92685\n29690 37630\n8096 98499\n80135 87676\n49306 74307\n30669 85604\n33730 58759\n11776 68199\n49690 80172\n78496 82613\n5213 47611\n35000 91552\n56738 92967\n28049 76122\n45375 91227\n39243 75762\n56803 78448\n36476 70432\n35618 53524\n30420 52325\n13099 24677\n66831 90285\n64393 81442\n10942 27736\n11713 97794\n45250 99976\n52132 93146\n47371 73695\n37287 85387\n10160 43475\n35101 73700\n34716 48127\n5806 75490\n69250 74199\n31 2816\n4281 12103\n76518 93054\n34604 49124\n14608 23650\n20978 73794\n1586 95305\n28329 91993\n15923 88426\n77374 91624\n72002 74732\n23801 59035\n19654 49509\n38632 60715\n51482 97276\n76292 97035\n70929 88612\n39911 81028\n47328 73977\n14613 63224\n8936 49357\n30849 33449\n77154 88395\n11653 34366\n57709 59626\n43302 62495\n1517 39503\n1022 46615\n902 39454\n19317 32616\n10940 19504\n21715 98499\n20315 78894\n31832 86795\n41775 90772\n53121 93180\n58243 97708\n31430 71411\n18276 30161\n6215 83499\n4629 73075\n7107 12628\n9219 42654\n4158 90481\n37932 71563\n22161 62949\n26805 77573\n10456 81223\n45828 75869\n27239 95113\n8787 54614\n43094 76057\n25877 42861\n45019 60261\n4183 50606\n14474 44608\n8262 44456\n11625 70691\n12275 50976\n10367 77541\n45468 85726\n33702 73580\n22255 56025\n35854 62321\n18505 57605\n317 62730\n7007 22069\n33013 66683\n14685 71377\n28553 98090\n9155 44095\n81369 99949\n9907 53652\n65831 97386\n81169 99056\n5210 20287\n15493 91222\n28405 32078\n47954 57794\n12251 74893\n77485 91942\n51081 62297\n66160 66723\n35750 74175\n84969 88238\n20977 50064\n29901 71849\n29500 54477\n70016 90881\n22664 98121\n70091 82260\n32916 84617\n66974 82194\n6818 53224\n4720 60213\n33294 90314\n15930 42873\n8777 39242\n64770 66201\n9241 22102\n74894 81040\n27292 27991\n7517 48618\n24257 54386\n17169 88275\n4440 16067\n13307 85174\n31846 69259\n39612 56207\n11945 15042\n5319 25846\n1259 31780\n15625 18701\n36144 54281\n66705 85605\n4039 57607\n11933 12258\n37760 92425\n46942 91545\n25539 57307\n5087 83333\n60974 87323\n34587 46505\n56946 73453\n37539 97395\n18872 57915\n51345 85456\n55760 85066\n11875 77534\n2029 40586\n37221 83009\n41250 65363\n44234 60049\n5350 93411\n4482 58135\n34783 72114\n49112 82298\n20062 27060\n28970 53408\n549 43801\n34017 49972\n55168 59405\n3519 61565\n50077 65160\n35790 62174\n7913 48146\n13258 25814\n63185 77018\n69590 83466\n30917 41707\n72567 74725\n15518 96419\n25031 25215\n5849 27537\n66950 77860\n49041 53464\n42120 44643\n55415 74583\n46547 87132\n7803 60035\n6532 99750\n44837 55591\n21758 85512\n34668 65411\n49027 54525\n15218 54746\n32327 56963\n58698 73872\n43343 66208\n56529 58417\n71 46831\n5154 50031\n86695 97620\n17960 31476\n22786 27893\n39774 75049\n15180 97276\n64985 82532\n35531 41091\n7023 50160\n20089 60119\n54518 65809\n12401 41754\n35637 48089\n22388 29681\n57855 96412\n35506 75254\n17539 95923\n41364 81629\n50369 54043\n88536 99643\n74159 75207\n4576 79806\n5701 35810\n94334 97640\n82994 84793\n26888 41873\n39049 79813\n35284 63929\n7866 96588\n69895 71747\n425 96043\n38658 60200\n16541 88321\n72616 94392\n74572 96524\n16954 84429\n13941 96840\n23055 46231\n81856 81872\n86759 95673\n28722 31463\n47256 96662\n20743 45768\n36352 75556\n43541 48315\n36011 55262\n18338 98561\n33633 47272\n62889 89878\n37803 76440\n25451 25636\n16409 56307\n31132 87493\n31162 58000\n22160 44705\n13439 39186\n36096 92632\n17870 87620\n55296 89359\n51196 80426\n16296 23596\n34777 64270\n4512 65498\n46466 65214\n16372 66152\n42251 71488\n31171 62950\n35729 38930\n83169 89108\n27516 36021\n27048 44990\n58476 71025\n1786 59011\n23283 48316\n5995 65008\n55276 61810\n73325 73983\n65919 80914\n169 27217\n1432 43232\n2114 60532\n18020 61485\n74424 86055\n14281 24714\n27772 94500\n58374 91117\n2852 43322\n26127 31384\n22557 52229\n18063 78648\n33150 99117\n27673 63497\n22657 29722\n64115 92843\n41105 88593\n36073 90704\n56287 84326\n12472 74662\n52742 77191\n18464 23125\n65387 65482\n23241 92351\n44817 62637\n4008 78014\n70467 74453\n1730 50348\n8804 47796\n58524 75811\n24022 78677\n57889 86163\n31854 71487\n57100 99828\n12686 99272\n79 45281\n69086 82645\n6935 15561\n21154 43019\n45375 95920\n21902 80575\n10675 86363\n11968 92446\n5150 42328\n83865 91594\n30207 98754\n27443 52515\n11189 22738\n4424 77838\n11624 73396\n14823 61109\n35177 37804\n29688 30830\n50399 67915\n78629 96771\n19448 73318\n241 413\n14977 41894\n35163 89094\n48170 64834\n57712 61331\n23411 33766\n79397 97710\n47324 89914\n28443 79761\n20512 28262\n19931 56077\n46253 51317\n4534 28738\n1980 13097\n1171 33986\n6793 53697\n15625 99611\n13072 89587\n41024 73892\n26584 70828\n22340 46299\n13161 96353\n45349 50858\n2865 41523\n57820 76801\n14157 90150\n53066 73153\n17772 98077\n67592 80898\n30332 85805\n31159 45525\n2421 81970\n28359 65962\n393 92393\n22635 87513\n26187 96371\n14412 79293\n30668 88990\n27490 49784\n63827 86402\n20857 91472\n39071 55041\n10133 79870\n50225 58321\n45266 69024\n24280 82763\n17512 77776\n40724 81892\n54868 60526\n89802 92124\n6721 64388\n77915 78329\n27867 35299\n43306 74959\n18813 34710\n82751 95312\n20499 55104\n85991 91963\n7021 85475\n4436 95143\n85796 88998\n39759 49757\n688 12350\n50764 66981\n58901 91922\n56502 72191\n24952 59557\n6831 37216\n59517 88316\n3522 19026\n11993 43358\n31923 61496\n31111 99395\n63597 82421\n47771 66449\n19560 83999\n73569 76528\n50383 99390\n29876 99044\n36975 62531\n42760 54506\n37379 42804\n4931 59950\n15350 81863\n17282 33095\n68338 99120\n41734 87210\n45868 92769\n49648 52016\n81138 89644\n22527 60689\n29188 31242\n50424 92065\n5591 75368\n59493 70639\n46803 58260\n16352 23322\n8380 81263\n4856 87863\n10176 19982\n15281 31454\n53789 55912\n11460 23285\n419 50533\n34527 50022\n30412 67202\n15 48686\n40052 97180\n21332 32128\n66727 99016\n72492 96586\n12538 89576\n34375 51042\n42289 78822\n86150 90536\n49645 96841\n9039 33924\n41860 81294\n82033 87273\n94895 97746\n63436 66819\n7406 11791\n54517 81010\n57184 81972\n10732 13326\n40920 91529\n36072 63353\n11125 38992\n26409 82203\n65124 86841\n97518 98123\n3225 31164\n64368 86276\n51535 91842\n38749 89967\n47551 72004\n40170 69058\n58225 98251\n55937 80094\n39314 69936\n51854 52932\n55072 87734\n5547 43264\n43776 88328\n38981 71889\n3386 86226\n8822 61415\n61675 97330\n8403 68020\n73286 86881\n62613 71454\n57259 78418\n64906 66006\n17163 43646\n73392 93761\n11438 86823\n18999 95194\n18436 20612\n4270 45517\n9679 89973\n25774 41907\n45292 88638\n61404 66826\n62457 98402\n1158 56070\n24496 37044\n3191 3775\n11864 39023\n19494 57084\n18386 57189\n12727 92435\n39589 97201\n61029 97232\n5947 72043\n30151 77035\n53082 68860\n12877 60610\n60811 89570\n26690 38379\n63317 87643\n15003 79408\n42107 79073\n51622 55085\n16658 76017\n49028 66279\n43726 65268\n76793 87992\n61714 82869\n55907 92358\n8912 68254\n8866 34906\n19804 24972\n17450 34719\n23303 37286\n7634 93028\n32633 63437\n48057 58104\n50908 91788\n63037 79069\n18279 68995\n33602 51614\n26446 31210\n62465 71210\n62885 86003\n9575 11648\n1456 59483\n27561 69989\n22365 58239\n8200 13318\n86540 96266\n31928 32131\n3943 31744\n50826 71306\n47085 70903\n23086 51121\n31448 56121\n53401 97930\n17078 67062\n37821 50450\n7262 79910\n151 44416\n72342 92286\n29223 64613\n3122 73546\n18182 48381\n23959 65302\n23027 96279\n12319 47130\n20200 63069\n49444 79709\n25551 37708\n13052 29020\n78014 83405\n64705 88192\n3250 51822\n8138 33684\n42728 63710\n48547 75570\n36040 40479\n1812 71962\n48143 91429\n21010 97541\n38693 51499\n51823 81671\n44255 63296\n54782 58503\n38625 56917\n23194 62551\n1460 74935\n923 22093\n22643 67090\n29393 85624\n38375 65010\n10682 54551\n22287 58056\n38341 41954\n2640 66063\n70296 83950\n46285 95208\n56196 82790\n46828 50982\n17329 62200\n14988 71246\n29262 98366\n49107 77770\n10274 72185\n14279 34653\n59492 78469\n36117 45896\n22269 60770\n19205 94162\n43714 82243\n3991 87494\n5052 66699\n11188 64529\n22373 48569\n55516 71229\n41895 96506\n31422 57990\n66045 75162\n78837 83357\n7285 50119\n38774 41645\n11924 14472\n39989 51918\n22831 63819\n74193 81303\n46300 71965\n14717 38975\n73305 80042\n38773 84127\n35854 88246\n67167 69723\n250 63412\n75902 83535\n5574 13239\n7725 85530\n148 93500\n16135 95374\n55691 61369\n33857 63459\n40780 83314\n22837 36372\n10974 54739\n47600 80539\n36553 67122\n39922 91309\n17940 93966\n33978 43379\n35845 58512\n13013 37090\n20274 47002\n18512 66886\n29211 69999\n10994 94996\n49249 71087\n23024 64637\n45987 47915\n54215 63952\n27018 77675\n57138 67086\n2318 4506\n27284 70348\n13708 19864\n24804 94053\n34394 53506\n22162 67340\n38036 65211\n50376 54136\n52883 66754\n12409 87647\n22279 95611\n34913 95315\n62270 90829\n57918 77019\n28895 38475\n48237 67989\n35907 67749\n85143 94318\n56889 60018\n51029 90112\n86174 91315\n60668 82239\n16322 37831\n77088 96085\n43896 84432\n9095 77998\n51394 70102\n59754 92369\n11261 90728\n20303 24036\n8239 88726\n88661 92901\n26955 38527\n34445 35646\n48025 58245\n58169 62069\n36322 42395\n31894 48956\n6762 51103\n10327 44677\n27980 44326\n40635 48339\n33348 57175\n1876 55545\n64646 89689\n86175 92279\n26346 88007\n31847 93672\n33405 67134\n29359 96684\n53154 96673\n24935 37239\n41230 78244\n77892 91696\n49811 79819\n48194 91697\n51656 61498\n24121 33358\n34733 74465\n77010 88020\n32124 89283\n73945 91355\n40809 95177\n49344 64334\n33510 91689\n42204 62972\n16349 57849\n33584 47034\n2104 88658\n38475 68793\n9246 39183\n39892 87630\n9799 17249\n5874 18589\n5822 86500\n40346 59887\n1911 32166\n53037 78768\n12287 20699\n34042 92557\n39621 47589\n48830 66523\n38209 81997\n18182 94651\n23647 88091\n43424 94083\n12704 22544\n57866 88992\n12323 54531\n66074 97652\n10703 43560\n61767 77073\n24007 43678\n66136 85595\n13898 34991\n8969 9164\n52469 56696\n5426 80147\n66476 74303\n3676 82410\n7477 27656\n65801 76490\n40300 56081\n47236 52033\n8614 74833\n62826 90467\n11160 78720\n43434 48702\n40628 70694\n2306 53299\n42200 71883\n11760 67475\n17542 48140\n7652 24872\n12799 64236\n2233 23546\n57227 76067\n35287 57438\n66144 69035\n71504 80196\n5579 42696\n45286 79690\n80139 95124\n58274 97101\n7549 10285\n45531 93607\n83033 97326\n53396 53951\n618 30205\n29199 89723\n10262 32708\n19279 70095\n42414 72236\n12796 47868\n28330 52348\n25487 71997\n4862 71632\n15550 90592\n6959 51658\n37911 61467\n53115 65602\n55406 73763\n21690 90077\n23058 64439\n9536 16650\n20561 96081\n19310 69573\n23809 45861\n82795 99390\n46024 70338\n75345 89947\n56730 84461\n43506 76920\n11122 74944\n9963 95229\n23600 60954\n6881 32341\n48161 77910\n10559 80068\n71249 74827\n12526 86364\n50447 58929\n26048 76762\n37635 76082\n77718 81117\n21539 47910\n2691 64192\n21738 98837\n59484 71670\n11947 67471\n379 87458\n5873 43920\n80321 80480\n83779 92114\n48778 50723\n14139 53752\n11180 36758\n35446 71368\n36917 76626\n32428 80749\n7843 41981\n6085 6501\n24415 37023\n25882 29555\n66109 82498\n79198 98622\n37323 47461\n7378 99313\n9089 93389\n42125 61235\n81695 87030\n57279 58994\n66581 81586\n12898 58358\n18069 58649\n33923 41181\n64233 76579\n27159 87000\n66161 67335\n11571 99195\n51171 78675\n31144 65425\n73106 76213\n19088 24988\n3244 14107\n12516 93552\n50874 57276\n23136 36331\n51468 89987\n39866 63483\n12833 97425\n22092 85282\n48058 91828\n57863 58997\n37058 69376\n61645 69999\n14041 78281\n55587 67395\n97168 97403\n74864 99276\n382 13086\n87002 98235\n37412 94619\n13763 73184\n17795 38943\n15204 34179\n30685 80876\n46520 50956\n13306 91496\n55123 85104\n42669 85759\n14913 26642\n81261 95047\n21181 27579\n5091 87280\n3190 66872\n14819 99558\n7552 33198\n23926 70960\n64675 90669\n22681 45464\n6566 89851\n16676 50939\n73129 95511\n48258 78272\n5060 83434\n13687 45213\n456 22680\n31677 83803\n55058 84712\n56686 65905\n2882 16109\n50793 86139\n60321 67528\n5640 52403\n40660 85873\n72388 79735\n77973 79768\n22529 88718\n85084 85413\n15697 78300\n3362 81802\n51705 87432\n31123 89814\n27266 36204\n56595 64587\n87156 93465\n46755 87438\n23462 59024\n5581 77183\n8822 57179\n19753 30603\n12489 40548\n32784 88665\n15395 94928\n61239 89994\n31447 93641\n32739 73084\n67597 97819\n79828 87631\n50321 65202\n35294 75301\n173 22513\n70009 95189\n17659 97020\n3310 88157\n3901 31139\n26796 34606\n11782 16575\n972 39949\n2483 74891\n25278 93913\n13893 77774\n28155 67385\n26834 71455\n38960 51031\n15254 99636\n55872 93322\n6669 40455\n31963 46636\n7668 44979\n58017 62657\n4725 43714\n51637 78972\n41460 88920\n83376 93096\n3940 6491\n21799 48490\n10878 42345\n10329 40641\n71042 80116\n27143 94434\n36016 99705\n21191 95948\n11950 90537\n20327 93869\n10855 73216\n59583 93036\n21896 48006\n79648 86969\n33961 63860\n38041 44149\n45320 84013\n31066 79960\n14347 49746\n82139 87858\n45305 46606\n20471 51848\n3658 78354\n69263 80785\n54532 82460\n11831 12702\n27237 34815\n58998 65519\n31980 44257\n31261 97069\n5467 54304\n89834 92507\n3835 27124\n8591 76709\n23752 47217\n94417 98211\n863 49394\n5019 79647\n5305 50249\n27216 53500\n26708 81649\n24515 80465\n19262 28470\n25854 90919\n29020 43315\n29847 68318\n46225 65648\n28862 40032\n18789 48682\n3787 61150\n11503 80015\n12821 36569\n35402 41132\n10136 91229\n61013 89280\n89920 96471\n21230 54480\n32381 40955\n1115 43800\n1451 66876\n4743 44763\n39139 98583\n55308 87811\n35023 66148\n92329 99649\n54724 69870\n6621 32923\n76156 98561\n79076 80002\n7111 99982\n37537 79680\n7452 95642\n64449 69881\n45881 58641\n30724 70241\n63836 76120\n23099 53696\n66496 69608\n35809 84873\n1281 97861\n6054 54164\n26823 40549\n12758 92722\n19387 90772\n60047 94623\n6109 81925\n35529 84762\n60341 96421\n69556 96414\n56505 70886\n25419 26135\n58660 85719\n47172 47607\n8742 99951\n61368 74012\n28012 63818\n17983 40646\n1898 63459\n893 94949\n67051 84486\n26817 93413\n59837 71134\n13607 95936\n61370 86324\n25445 41179\n7197 30877\n16726 43570\n71820 87915\n5564 24992\n7140 16591\n66102 99195\n83451 86712\n79105 91244\n32229 42339\n65711 66967\n63259 98198\n28571 52141\n36337 82189\n15620 46128\n5364 49527\n9476 30340\n35507 40677\n5609 66669\n27889 62896\n29892 92759\n30266 81682\n14429 25195\n17541 32267\n48277 85112\n1491 42718\n64736 73256\n53659 91505\n28393 95443\n19584 88568\n48428 81007\n27678 69713\n17640 95718\n89754 94468\n39545 48307\n8909 89756\n30970 50022\n10936 51443\n35588 47230\n45557 97990\n10945 26938\n10120 24555\n18626 86288\n50084 89998\n15568 96823\n31941 72289\n13327 85187\n43618 46922\n1690 69914\n15398 40183\n58691 66935\n55033 98456\n5498 35101\n41747 97585\n6915 27714\n3747 40749\n36573 59001\n20934 36683\n30381 96443\n38076 92531\n28369 50946\n62624 81065\n72064 74515\n55459 68486\n40765 91602\n7913 88229\n55698 82708\n7364 46882\n58879 66698\n230 41797\n35874 81017\n16072 42909\n33308 40447\n68553 91431\n29380 63422\n39345 64080\n57073 89647\n8978 94936\n38731 39028\n43907 60913\n76764 98121\n3316 5936\n53452 84431\n97531 99951\n16206 37932\n7866 46503\n30250 46682\n26293 29787\n3349 14194\n35344 68467\n61366 62967\n45569 68065\n16923 53387\n8645 63404\n25831 72273\n70604 71638\n33614 69258\n20316 86104\n41829 68625\n16755 98416\n14459 69175\n9438 90026\n45081 80249\n17542 51250\n65237 86866\n4468 99360\n2864 42472\n33975 36205\n71111 97647\n35356 90628\n29042 84035\n28702 54737\n21693 29970\n69882 96556\n57813 66086\n62334 65030\n44420 94578\n2431 17198\n9597 42776\n33065 65019\n41951 70883\n88916 93061\n20598 20645\n11746 61103\n86455 90078\n11202 14304\n39468 60291\n51773 67461\n85325 89108\n72181 94749\n24957 25220\n16792 41545\n50339 66992\n24977 96975\n2371 29682\n15118 52352\n60669 83691\n33097 73297\n59078 84312\n7758 20447\n15274 84878\n566 42349\n25746 91986\n38023 84706\n18877 19077\n61560 64902\n13971 64237\n8251 42918\n20748 50451\n6922 74968\n17876 47231\n54365 89748\n24982 42268\n43994 67900\n52367 69969\n36947 47639\n8414 66282\n47428 84006\n36355 49188\n76095 93317\n28896 42774\n41555 48485\n13721 85115\n43088 51952\n48596 81164\n34842 86312\n14276 76374\n29103 85948\n26504 60864\n58788 88232\n2921 42990\n1875 20440\n27204 52756\n90185 90742\n6293 15996\n70780 78384\n76151 97400\n22099 92299\n144 35417\n2544 53894\n23570 30453\n18654 47307\n45939 48271\n44162 96912\n54484 61786\n18175 38591\n37416 45216\n64629 72662\n20890 39978\n39351 94569\n25585 39566\n7521 70232\n19860 60339\n60507 81983\n85992 89317\n8997 82613\n30979 95687\n43345 74033\n75855 80368\n19004 32833\n31608 81663\n80504 99929\n7196 24284\n58408 64837\n92123 99794\n22621 24960\n30490 96462\n70461 80500\n40257 77855\n31348 75446\n30593 51413\n76477 94422\n92435 97497\n11981 24776\n29202 84766\n16591 37558\n74074 78039\n13999 93511\n11231 22618\n80317 94836\n9464 66718\n29267 41341\n44943 66873\n61170 74660\n10669 38731\n15330 57993\n81213 93290\n21258 40960\n20033 61074\n10421 13727\n37101 92179\n19186 37954\n13284 69447\n6321 48728\n71394 80910\n39450 86645\n28954 75634\n1241 68604\n28983 60338\n555 8401\n28413 82272\n38671 75199\n11793 76785\n93339 95220\n15726 45696\n23377 89075\n47317 73283\n50608 87911\n24786 80097\n24449 68998\n23141 50506\n43617 71777\n36682 44997\n11065 84920\n25573 63443\n40815 98362\n57171 73028\n32373 33377\n8794 87665\n57122 69330\n4808 80541\n61587 64013\n54018 73448\n24367 65508\n30911 63149\n36678 55211\n30886 73295\n22145 56985\n13775 64364\n3523 16406\n51794 60992\n89058 94995\n54230 93290\n12943 67240\n43095 76164\n31697 83018\n2502 66821\n29752 86045\n32632 78061\n2547 24889\n44264 89690\n37941 88284\n9157 28737\n26834 74963\n24448 74408\n49079 59934\n9042 79315\n6721 43414\n68353 85656\n26567 72566\n9483 33943\n81913 94952\n83644 89185\n37059 80110\n6854 99208\n31837 46173\n41928 54992\n16029 49301\n79416 90286\n81243 94592\n9321 87752\n54390 96710\n21854 21901\n77612 85460\n1147 84934\n3891 63755\n67444 77606\n9777 94193\n24667 65727\n31515 66448\n2693 67792\n4170 60634\n26160 29429\n7986 27194\n75340 86290\n59479 64467\n4589 54892\n41936 79377\n35420 67603\n18697 87154\n32141 52758\n56935 94154\n8550 96314\n1365 11445\n642 73120\n13474 24991\n23370 75104\n59549 78258\n47193 90946\n80848 99432\n38663 70350\n22938 78956\n32533 34823\n55864 79530\n29006 53861\n6447 91837\n5584 45856\n24199 89920\n15377 88632\n24720 24767\n33744 75617\n22228 58881\n33632 44212\n38258 74514\n37040 74385\n7504 48007\n40957 53366\n37992 88127\n3009 19044\n10345 22063\n26614 65524\n6955 49410\n7059 53250\n2721 47197\n92205 96005\n22317 68618\n58419 63495\n47483 89383\n23367 51664\n10772 13117\n60553 65587\n60887 62529\n51514 82302\n10030 66006\n63740 83033\n32054 86063\n53071 95404\n47910 62710\n53999 93112\n12117 83253\n24626 35749\n46095 75569\n59852 77586\n63255 63301\n1376 68402\n16219 99494\n24248 99024\n15292 70302\n10349 66863\n38643 77382\n17484 85922\n16002 33135\n32353 98567\n60723 97245\n76073 88934\n22440 40296\n2427 93574\n79153 84496\n24108 79387\n37916 76872\n32604 42978\n53260 92738\n1415 25478\n28177 33604\n430 55873\n85162 93192\n54359 99851\n36757 64114\n9030 99110\n67896 91531\n37997 63686\n89678 90301\n1478 77653\n10450 53703\n8607 70163\n68251 74012\n25193 53300\n847 23221\n29705 97610\n65150 87642\n2362 94024\n32191 61189\n37123 42620\n38903 95171\n6854 36560\n20939 84098\n6639 94549\n77692 96101\n10190 48991\n78363 86192\n80146 89172\n30260 52992\n78255 87902\n403 47134\n7998 84145\n22931 33478\n67683 73931\n5049 54898\n21470 49024\n2082 17262\n35880 55615\n57991 74423\n380 66548\n1597 36732\n67641 91290\n28079 66038\n63215 94362\n11070 91873\n12744 84136\n48414 57722\n45717 68219\n70325 93145\n16569 73846\n50649 70366\n29776 95904\n54039 84564\n60055 76017\n12651 88941\n17205 64783\n47222 89560\n60564 93126\n58664 65146\n14545 25138\n38895 43963\n4238 68887\n72380 96040\n37088 42827\n428 26542\n84386 95425\n20234 36646\n32849 70843\n69166 77733\n10972 41346\n11767 57912\n24554 89645\n72891 83220\n7238 68462\n8205 96428\n35825 40149\n58559 79690\n55463 81075\n31449 76460\n22933 67691\n38466 91974\n4588 10537\n25613 84493\n12578 17894\n51319 69806\n36751 51689\n28645 89421\n58618 73792\n47395 81832\n1510 72229\n28290 46157\n7459 38138\n46527 62425\n45191 68665\n33534 74298\n8838 19959\n22246 93560\n20426 22496\n82869 96923\n2914 24664\n61145 76953\n9084 62082\n491 2632\n61047 81035\n50764 56715\n38095 46163\n14005 52007\n18150 69916\n70047 94209\n91665 93641\n64007 98366\n85017 93499\n10973 74937\n30279 50020\n12500 22231\n21402 75373\n33476 39078\n79980 86376\n51778 94567\n42830 83738\n46040 75935\n67854 98849\n24264 56480\n9780 32347\n72276 84245\n34916 49068\n1366 99469\n69609 94675\n10269 83936\n42821 50030\n14425 83548\n74658 92877\n18247 83888\n47905 56833\n48311 71316\n37160 80745\n7688 73129\n11076 89585\n39386 66929\n35784 93031\n22289 86950\n14915 75471\n20715 78853\n52781 76824\n4608 36350\n24207 67504\n33581 64244\n5948 7470\n54499 69214\n22283 82901\n16558 95194\n94884 99583\n33559 55238\n84336 87254\n47884 67345\n31331 80355\n9898 84307\n5777 44228\n60729 83280\n8080 87123\n14291 39159\n81809 86880\n71084 78486\n10750 94867\n85536 92308\n55409 69070\n31789 34082\n10584 30251\n28098 35367\n19188 66157\n14140 76576\n28737 94796\n40253 95939\n10714 18340\n5440 95331\n44004 44167\n75151 79257\n35296 96030\n7211 39685\n43546 72233\n17632 43458\n24610 31437\n20149 40372\n42909 53170\n68541 70238\n18753 31692\n1876 97028\n3206 64413\n49087 86657\n66631 93433\n21881 77578\n56545 58507\n12330 96005\n37559 89534\n38736 47753\n46783 47314\n13906 29348\n34325 90844\n39280 67797\n31591 32936\n45649 73769\n53456 83492\n29268 80299\n56810 81588\n5687 42471\n57585 74936\n37552 81866\n45306 77944\n44590 51726\n18504 55902\n34715 92783\n2901 56517\n74121 83641\n54456 93677\n12907 19359\n5200 89714\n3399 62586\n4679 54812\n3634 50953\n47760 75581\n93558 99416\n56134 78856\n3994 55793\n6314 13170\n23850 50615\n18956 58168\n20869 67531\n7867 97763\n1909 11076\n7431 22377\n17067 23546\n64673 94633\n6285 33982\n16268 43004\n7752 43746\n18846 44317\n18348 93783\n7197 41688\n14566 28670\n2297 26040\n47925 59997\n61710 62070\n16065 39848\n51984 97790\n2271 80606\n22457 46420\n58504 94992\n14049 83113\n1879 32127\n5514 59594\n35399 59943\n764 30159\n16982 42984\n90637 96053\n34275 97193\n76839 82751\n44410 78542\n73191 94292\n92053 93570\n42946 98967\n1485 27016\n26555 30074\n855 86579\n24268 97836\n18489 82683\n49007 49273\n2133 23490\n45493 73418\n59631 70797\n43049 46183\n11609 83353\n2826 31683\n61553 76870\n30343 92438\n51514 66173\n43485 81524\n28157 35416\n2537 66125\n25762 81143\n28123 35990\n81396 83070\n8179 17294\n19680 68105\n2146 97264\n25034 77255\n10272 26071\n21549 43453\n5251 59936\n38124 62857\n29852 46144\n21227 26995\n42877 74992\n1516 42059\n11587 67812\n42488 57532\n4524 71307\n14004 43710\n22107 90231\n17550 34957\n5575 20228\n10470 14218\n8737 65612\n15694 65521\n10943 46853\n72564 76289\n10724 55647\n15734 27621\n20184 61690\n63899 69785\n47971 71300\n14240 26825\n33079 70657\n33026 35823\n57266 98091\n38761 61523\n58761 71763\n37670 99778\n50341 91608\n20171 77283\n48968 82532\n33025 33762\n27702 85290\n1719 17121\n13693 87078\n55767 99615\n42036 91153\n20926 96349\n5606 39872\n41844 71253\n67759 97375\n14704 40442\n39176 63433\n11938 83578\n17638 87063\n73484 74661\n11297 67639\n23017 23490\n31708 48995\n50363 60496\n4205 21338\n20304 74300\n28848 37657\n71295 84908\n5170 75363\n80132 95009\n88058 93731\n5016 22492\n17926 18907\n95961 97236\n33896 86518\n72353 99620\n17462 87415\n36167 79908\n71280 92637\n68736 85523\n5571 38671\n90604 96118\n16836 23001\n58936 81356\n49179 77650\n34956 54215\n45577 60011\n10814 48817\n74392 98732\n31045 43292\n9124 33685\n27661 75141\n90422 97735\n21606 55430\n69316 73794\n43300 68610\n57818 69185\n20825 53378\n14673 89914\n21611 64585\n33283 35405\n83098 90409\n56614 69328\n58764 81765\n49803 94058\n69067 89081\n27344 98300\n16645 60372\n17414 60280\n86295 90632\n68049 94744\n57179 65496\n85756 98785\n5875 29012\n69327 79957\n1243 38966\n560 85645\n22771 92083\n6508 86304\n88200 92548\n68386 84590\n58426 90694\n7440 71122\n17007 30113\n8835 21174\n6169 98885\n28346 60744\n10139 34519\n35350 76609\n69851 83378\n4984 52672\n10930 13159\n6685 16956\n10744 31678\n16242 75250\n11243 28982\n29155 76477\n26437 30391\n20414 68492\n24871 71644\n30550 51266\n28852 73054\n50348 87662\n41454 85223\n38230 57178\n48116 77558\n25352 31621\n62829 97312\n55250 71128\n25621 35611\n10478 71051\n14706 15600\n29624 69916\n20780 83054\n7482 18153\n30566 52908\n74517 92594\n1380 67453\n60736 65424\n28772 43340\n34476 78260\n90461 95429\n72917 90031\n3726 44278\n17022 78757\n9940 40533\n69632 77065\n1033 64578\n11379 85320\n59419 65477\n61376 74988\n52034 93965\n46156 89633\n45762 59006\n25263 87042\n3096 65212\n2845 17501\n27273 95756\n40983 56684\n41510 57046\n16434 52735\n43900 76772\n58983 81574\n39691 71944\n48217 53233\n2950 72517\n21058 89539\n5144 40497\n58859 73703\n25933 40958\n50179 97397\n69532 98990\n43404 67680\n42284 98334\n20532 69112\n37520 84616\n24241 78103\n62364 87131\n27921 63568\n10473 28656\n46 76242\n52958 85775\n29065 49957\n50570 79577\n11091 19323\n21707 70092\n4560 33418\n14531 18594\n80207 91016\n69669 79538\n48654 60004\n4149 93101\n51469 76050\n19578 39233\n64016 73517\n31188 35151\n47735 66466\n27742 70625\n28166 69120\n81136 89282\n8221 48980\n12332 39918\n1414 46304\n2301 7175\n33367 83811\n10208 70143\n18724 54617\n25642 25652\n71045 73439\n65628 78191\n14714 51432\n23716 45488\n54404 99709\n59911 68698\n15090 36554\n14224 75639\n25799 55573\n85482 91077\n6044 26068\n21578 93222\n21767 34650\n11314 13781\n35855 47764\n27129 89197\n3925 48855\n5700 6087\n28892 46663\n73840 87511\n55571 74957\n48415 77337\n8343 31306\n3952 16150\n16134 92454\n23179 62236\n9367 45802\n47164 90004\n95364 99701\n26125 46789\n14306 73880\n13683 23415\n8489 15911\n31113 51803\n36139 95156\n68261 94264\n63322 69729\n46953 66549\n26820 99901\n17802 95249\n28410 30219\n29109 45433\n68330 73964\n42377 83272\n16224 46329\n30485 97721\n51715 95329\n6937 45675\n5756 57035\n10295 39450\n13052 68643\n51564 84445\n4338 93321\n64958 69128\n88236 97435\n7859 53892\n36681 38482\n761 55381\n81076 92375\n19502 22832\n55624 99385\n55514 72062\n19351 40686\n26324 32198\n36698 99025\n9153 43289\n9228 81228\n58727 88151\n46126 82113\n3862 83671\n1080 36474\n16756 73680\n66550 99950\n26109 66789\n10243 26617\n13970 92342\n84614 98170\n20467 79437\n57646 85526\n16191 51851\n65448 92329\n84949 98929\n8731 40597\n42631 96188\n328 6717\n88960 89869\n16151 25287\n12110 60224\n56719 90948\n1770 87805\n2336 95884\n21174 99773\n6885 90403\n21623 34593\n72990 94341\n88395 94136\n6271 61734\n23150 66804\n21612 39968\n24413 88884\n16032 27763\n14827 65120\n24634 29063\n623 95456\n50995 81544\n26017 95560\n26579 94884\n7338 95248\n46688 63369\n31845 35333\n30375 57036\n21941 64943\n9367 34082\n46417 98679\n27359 56688\n13253 98085\n1240 40366\n5265 29802\n28939 44809\n18734 25855\n1280 54465\n34047 34062\n64644 89006\n4126 35426\n7629 90972\n81762 84596\n13379 22287\n566 32339\n19968 44473\n82362 95345\n54038 69728\n63992 81457\n10308 20792\n30071 69445\n21009 67775\n31889 92350\n69385 98007\n7449 97048\n24512 72049\n4957 88029\n35829 65533\n79143 92737\n17547 58895\n86636 96297\n1399 52535\n15850 45685\n3833 69791\n55021 84290\n41297 80531\n15168 92899\n30038 49882\n7721 83256\n63398 97812\n58132 99931\n3764 74572\n9608 54997\n45275 78587\n26223 51297\n4041 84372\n5142 63052\n16194 53775\n42608 85643\n1002 4632\n22890 36626\n36848 84730\n73398 86991\n41729 92968\n5370 40576\n74011 84210\n33516 73911\n22510 42706\n32921 62325\n69468 81709\n7216 50338\n38564 44567\n37566 51724\n79023 98097\n4751 93582\n26816 69555\n6333 15320\n6852 96662\n61068 78789\n65938 82671\n59375 80089\n28435 84451\n72450 98369\n32272 37821\n8496 31819\n46051 86079\n7635 79109\n21029 54968\n23022 84761\n11499 52614\n35291 84342\n50992 78994\n3918 89790\n48957 74972\n33410 84094\n23100 66672\n15520 42452\n30363 92732\n51051 93330\n10781 77691\n55942 60930\n36954 68108\n31025 87927\n1748 51696\n36003 65004\n3808 36498\n63780 84501\n70397 79700\n45101 57526\n13532 45917\n37723 78368\n6420 45405\n11047 58068\n733 37896\n39727 91266\n51822 74475\n8874 44579\n90712 93799\n29961 34277\n28112 41679\n17916 95786\n35507 55489\n28011 88149\n35373 86970\n30505 92753\n33321 44268\n9169 22820\n38727 83041\n18318 87497\n48839 99230\n51815 58035\n74922 95446\n34494 38702\n4124 20443\n45778 89959\n22426 29226\n44476 91854\n37407 45302\n19195 54917\n21632 54243\n43386 85391\n62387 77333\n13746 56895\n15305 88255\n3207 51146\n22954 44875\n35123 51087\n37581 49338\n63377 99251\n22166 30120\n53187 68395\n67438 73047\n1065 54317\n26742 53237\n35583 87483\n17884 67165\n11928 52450\n26694 76305\n34167 94268\n77464 87284\n84582 97001\n44151 81884\n36724 52195\n3600 29930\n4028 19017\n64418 82700\n69383 82437\n46892 68995\n96743 97823\n34204 81965\n21542 63624\n22970 27405\n25190 87988\n688 37338\n60819 73834\n21807 34022\n876 61379\n98742 98960\n40252 53712\n81477 92057\n76007 96625\n21865 35013\n7315 30617\n11318 17582\n10104 93335\n29442 32228\n1945 40510\n10596 90322\n15449 57157\n7782 79891\n12986 38933\n13771 58605\n16412 82708\n59555 75446\n30381 50895\n41339 84776\n77759 86680\n64470 64863\n8397 81885\n22762 83806\n45830 77468\n26600 48063\n38229 67977\n57949 62609\n14019 43492\n42943 72542\n6308 65511\n95138 99778\n1775 13284\n83152 92147\n68239 85042\n40070 97931\n86868 92527\n4809 46371\n4863 33022\n64964 87488\n3647 43926\n21887 82273\n48917 66113\n40156 81765\n63982 88233\n45265 96989\n46784 48149\n10976 22992\n40798 73190\n48499 89585\n49936 59754\n1240 49138\n38994 99326\n2431 58382\n56387 96616\n9088 75916\n17499 77574\n25433 77265\n17719 26414\n94652 95091\n76339 81006\n52734 52934\n9504 92083\n9608 82480\n36368 93540\n74538 87391\n61830 85516\n17 378\n83992 91126\n63292 94923\n89496 98926\n31612 34631\n22188 80049\n23900 76956\n2894 41608\n62164 85831\n18087 48582\n45190 84487\n57352 83166\n78456 92317\n87011 92862\n14094 35288\n83439 94275\n30971 32595\n13141 84143\n19000 65280\n5581 66372\n1265 87722\n68755 80857\n50239 54407\n33600 99828\n46353 92273\n17954 57744\n57576 65004\n24667 90285\n21024 78989\n24418 71346\n6403 26521\n43950 70228\n74587 76440\n9911 51532\n71743 89781\n12980 74238\n44295 98442\n689 65726\n1264 9445\n24952 91508\n30686 39928\n11155 26910\n92970 97577\n44302 83919\n28358 61906\n50893 92922\n18537 42341\n74579 77992\n20448 85334\n39692 72227\n39635 90276\n62014 87297\n35082 64544\n89932 92624\n43092 95721\n43982 80756\n17589 82439\n20576 99222\n35038 35715\n7752 48282\n43513 82903\n5103 41264\n50267 61244\n25744 62285\n10979 64630\n6970 50279\n18186 62786\n24034 53287\n50154 80754\n22139 82548\n18089 93359\n31572 68768\n49776 83606\n25534 55981\n26964 47871\n325 60879\n50423 88710\n28990 84525\n33986 51566\n451 80379\n81213 91052\n39403 73102\n49607 76726\n15077 76525\n31898 48080\n46629 86745\n56016 59013\n43288 66063\n3906 5508\n29502 34221\n4667 45141\n13200 34343\n50157 83111\n15262 45120\n44182 96936\n7214 7421\n75357 79974\n48592 60008\n10688 34687\n14204 87666\n6692 69313\n35815 47615\n66442 73155\n44556 89378\n5814 31197\n3961 39733\n19814 38928\n67128 71147\n82077 89055\n14058 73672\n35282 70870\n43172 51851\n4777 53718\n44516 74526\n81832 92699\n13230 78665\n61253 68319\n15521 87640\n58958 66482\n13511 52890\n62176 97123\n60972 63526\n82213 97044\n17244 63349\n20084 89070\n7004 15147\n40341 77361\n45140 94244\n19845 43991\n56454 80524\n49755 54873\n5607 72819\n26815 56893\n61553 75097\n39548 67787\n53324 97545\n66313 90584\n869 15162\n9747 29790\n25560 83745\n9636 16885\n30081 51065\n41755 91129\n11189 57926\n46277 46820\n29022 87637\n58793 65233\n27444 94841\n56261 83468\n39167 55703\n1009 36254\n41314 89678\n26330 78787\n62712 93733\n34611 96729\n4464 29791\n38296 61082\n41827 90722\n27605 69504\n4401 25426\n5710 26534\n39500 40683\n69396 96939\n40709 96951\n18899 69686\n29055 89807\n23168 62366\n13390 67323\n34411 56183\n2934 74088\n6646 57988\n8774 23591\n44482 87403\n38505 88003\n48431 87457\n19603 99441\n22143 30061\n48385 84432\n35076 86561\n47078 67929\n31077 50750\n43606 57439\n16503 88212\n4063 67359\n20151 55596\n24681 49503\n90925 93865\n10677 31143\n20689 53722\n27449 40348\n25029 96904\n18020 41869\n3656 33772\n20003 27870\n69461 92256\n21541 65349\n66688 68569\n7516 57118\n24722 93924\n13083 36446\n76801 86376\n909 5219\n2990 82283\n68177 86292\n6427 31677\n9852 30307\n17076 18619\n77341 91778\n62285 69546\n18559 81574\n37299 49794\n37111 54934\n7287 93210\n91027 95329\n50936 89624\n3083 53452\n24927 68348\n8854 82016\n45573 49678\n69875 87765\n37328 78012\n28833 91485\n2367 12084\n54043 71038\n76695 82657\n13077 94589\n80112 98529\n21723 37081\n60437 69380\n79013 82549\n71651 74824\n28229 87077\n7944 36349\n20151 33018\n27013 53182\n36778 60806\n30514 98626\n16785 63239\n53237 98743\n34428 44411\n45894 85014\n55243 59086\n5801 22008\n42346 89226\n42793 88316\n25093 59893\n80453 86874\n55538 82737\n7444 82055\n61880 89746\n22228 89345\n73097 99068\n13994 32926\n20299 37448\n30133 67320\n15572 31137\n40830 73981\n25692 58307\n37110 81323\n55225 57854\n53255 55641\n11062 50924\n33500 41879\n10407 43612\n48259 79342\n3734 30373\n11942 98361\n2856 24255\n38129 44292\n51330 83300\n17649 28622\n5623 54475\n12465 83996\n4418 69791\n40128 53091\n35840 51502\n21455 30336\n27291 82656\n17001 46746\n57555 87829\n2628 60744\n23850 44069\n85647 93962\n26026 64863\n16631 76161\n17982 64470\n92395 93686\n39628 91116\n45236 57335\n7089 94566\n57002 60047\n1102 23967\n34274 59470\n60958 85506\n45442 93910\n36477 58943\n4325 15997\n48823 62188\n65093 85695\n16909 99147\n62952 91871\n3629 63900\n4520 40259\n11584 66652\n42294 97615\n74827 99648\n39035 71608\n79494 89059\n39030 52740\n21569 42661\n41111 84414\n37466 98915\n17592 47116\n38175 58512\n16117 79282\n16414 38531\n59875 91210\n70860 71966\n48289 79780\n5549 84052\n48421 70409\n8037 31404\n59016 81268\n83685 98901\n38420 94159\n30867 68248\n63710 76563\n12007 77090\n77022 85008\n47408 59514\n34189 35572\n39854 66318\n29276 89303\n14212 59343\n46904 86506\n37754 53786\n60617 95241\n9400 83757\n24218 98147\n35851 64214\n5710 49322\n31462 78511\n57325 82658\n71382 89176\n59685 82892\n772 37631\n21559 56871\n43617 59059\n39785 64106\n79527 85042\n55003 58808\n60715 84930\n33716 62285\n57877 80928\n47316 98351\n48305 57515\n9046 45496\n10735 56274\n46272 92326\n75565 92303\n51890 85162\n56919 78639\n6932 20830\n38555 55619\n52740 61036\n36866 38241\n14707 31682\n27791 78541\n40564 89679\n53844 89025\n28565 99572\n36158 40614\n34927 61978\n11064 63456\n77790 84135\n36607 97156\n27464 39364\n10947 92059\n56466 77240\n96741 99030\n45840 97356\n15653 90162\n53737 93320\n57696 84044\n1944 90640\n5274 20047\n47681 56227\n54765 78500\n5612 21427\n12444 35342\n2352 41388\n24487 68727\n8334 71854\n10595 77969\n55029 68740\n69638 72712\n8903 85694\n1492 49805\n15878 97787\n63161 96665\n53656 58966\n85140 88857\n49084 77923\n8066 84776\n26879 48965\n74837 78997\n13237 75457\n21089 92468\n63321 66830\n49707 52879\n40324 67680\n64748 80445\n31280 48844\n67024 88681\n37775 39285\n26925 99594\n17062 90294\n1258 70804\n13971 47310\n2470 74168\n13282 84852\n18917 31432\n11408 70677\n2060 21628\n21607 80745\n68158 91743\n61132 88800\n63406 82785\n51795 91417\n74078 95863\n89203 90208\n35981 53932\n10194 58894\n5316 99399\n83078 99693\n29259 90112\n33978 44926\n56873 98661\n55563 83491\n7146 80263\n82962 91458\n9156 30839\n21551 41987\n62249 69818\n3403 49917\n3295 11704\n69156 86760\n8145 65248\n34420 42731\n20135 78292\n12753 60277\n17220 59253\n24790 60969\n31682 40460\n24527 93407\n35196 96713\n49595 63444\n85531 92522\n7365 20825\n49983 87834\n40106 99851\n16520 54019\n33532 70026\n32488 49175\n34090 94119\n19870 29429\n23475 39342\n52826 88809\n13785 46301\n72 95792\n16078 90525\n82847 98562\n37233 92225\n19142 51494\n22438 31325\n61911 77576\n464 12619\n88882 93963\n16561 20488\n70003 70872\n21773 69829\n92111 98255\n1327 89241\n14387 61473\n34439 37945\n86587 98704\n45732 59609\n34844 94582\n11141 54033\n6050 32429\n40844 55955\n37997 60014\n35445 95550\n11527 71242\n14142 19219\n94545 96346\n41725 76754\n16349 20968\n15769 78519\n1937 93174\n6700 39626\n34603 80782\n5139 9193\n3531 73859\n13491 81576\n28440 86989\n58905 94960\n80130 94073\n43636 83871\n17982 59801\n83406 86848\n16060 39472\n11479 70984\n32097 48532\n33052 33215\n29670 31990\n29745 34120\n16438 90206\n48833 98988\n62478 81462\n22215 94898\n18088 34798\n25684 93267\n17497 97104\n26060 44394\n25205 55608\n60100 65547\n46461 48066\n27947 69606\n12148 34321\n62299 88766\n23276 82051\n40441 73848\n18740 97954\n73741 74961\n64560 73933\n38050 70748\n25737 96565\n38760 53942\n17738 90631\n85720 91501\n60764 93277\n24753 67716\n12023 76804\n21739 24191\n23965 24204\n22915 66497\n46727 78787\n1904 71145\n44548 96747\n28019 91456\n38841 63032\n50930 62786\n29754 73844\n43229 47668\n67353 95170\n11638 71658\n43273 79212\n42243 69076\n7018 77909\n12745 70628\n8017 72578\n22442 42616\n3374 50946\n6850 39559\n58732 93752\n8946 77407\n4411 77027\n35826 56825\n72163 90785\n28527 97949\n2940 75653\n29458 73919\n72428 79045\n7653 91809\n24507 61499\n12031 99177\n50399 96507\n14512 35128\n15105 26783\n21338 25474\n53302 54647\n82741 98576\n33703 70283\n2617 35719\n86255 86568\n55551 75195\n39522 62292\n52000 98669\n8676 59560\n81344 85578\n35087 82349\n74169 86554\n75659 79482\n411 3403\n84188 94953\n19006 34591\n19658 99515\n16889 96002\n3196 78342\n14858 22999\n22027 35859\n3163 29756\n7445 39028\n73004 76047\n19273 86507\n4739 59529\n10780 19830\n20141 82429\n3998 66287\n3133 67074\n78059 97456\n67094 98598\n26749 45735\n17717 53692\n74167 84984\n77082 99242\n74479 97585\n43425 83508\n13169 14844\n46017 85150\n22268 26793\n15562 73985\n18880 46655\n33601 96808\n30896 45307\n48478 52874\n22413 29719\n69016 99039\n60456 68729\n69077 87493\n67413 93488\n75386 94752\n59112 93048\n4771 82721\n59758 87956\n51242 84136\n508 18409\n17536 69934\n70464 76754\n23165 40103\n83287 95854\n1462 71033\n77580 92895\n1191 19202\n48755 59327\n35729 61854\n34531 85561\n41082 90171\n55254 83543\n12997 53735\n58461 69000\n21759 33179\n49697 77773\n1207 10057\n44117 98424\n37952 94365\n59860 81495\n62852 97798\n73522 94405\n72260 84838\n30941 69879\n28770 36583\n23164 97077\n4805 86857\n48252 99697\n30377 33098\n55095 69291\n9130 70703\n18909 21799\n45248 89866\n31806 71230\n2511 18597\n8941 96595\n83843 95881\n69414 82350\n47231 57867\n23053 35133\n12189 27175\n37859 89161\n66163 95191\n13151 67330\n49375 52158\n8985 78478\n12208 20272\n41707 58238\n69096 86346\n63486 82048\n530 97121\n13475 67275\n17176 56855\n42675 46763\n27384 64859\n75020 94125\n60796 75955\n38237 85622\n76710 76818\n6118 87308\n9554 92413\n64007 79844\n70502 93936\n14976 61428\n5987 95314\n51280 64181\n45804 89212\n28632 76762\n396 47969\n63446 90386\n19100 72491\n53317 61098\n37883 75951\n53147 59334\n94362 97498\n21055 89573\n36997 57150\n25639 55915\n36348 65867\n76086 89882\n82409 85049\n21683 97560\n24509 90118\n5613 40707\n45489 66455\n10373 43566\n41681 92217\n60146 66048\n67314 94262\n44231 67894\n659 14503\n65477 95547\n631 92433\n32463 61475\n1900 15147\n27543 42929\n32050 75283\n10592 43249\n12274 80159\n81289 97058\n50531 90033\n11219 40494\n20473 27247\n45733 59526\n43486 62798\n44803 55924\n66128 84828\n50350 78836\n13868 78552\n2283 26263\n90883 94200\n40796 98564\n39703 96515\n37913 47134\n55064 65188\n23619 26388\n2702 82707\n29489 57325\n27352 85841\n25226 50017\n19859 45407\n66457 87648\n50557 93155\n47684 75405\n55103 80665\n4727 70635\n39771 99975\n95964 96951\n2709 27360\n32005 67015\n602 8714\n78319 89773\n55151 94065\n80675 88020\n34131 81575\n39301 88967\n64967 91181\n50382 83321\n48606 68554\n79412 81010\n71179 95300\n3683 48901\n30126 71078\n44885 90077\n6956 85344\n20608 42626\n45593 56089\n46056 69393\n20283 57998\n4190 74066\n51727 55994\n40595 96174\n1735 62861\n42988 81886\n17973 68006\n10490 45314\n20033 91895\n58837 97826\n55213 81092\n8722 81501\n37665 74238\n23532 39531\n49544 62933\n9446 53363\n35069 39616\n14258 44582\n34295 91279\n67320 96806\n719 71202\n16615 99653\n23382 64412\n40190 44988\n14561 54116\n12032 60584\n47596 82840\n1217 35118\n32236 61494\n65844 73895\n66594 67625\n108 26781\n5183 44187\n30411 55484\n15473 86198\n48387 53998\n3686 41667\n1577 74734\n4031 92159\n29144 49376\n55833 75168\n46479 64614\n32478 38880\n56814 82572\n35334 85054\n17940 52050\n9580 94980\n9079 93765\n15139 31121\n88361 93801\n22782 29995\n70121 73135\n48978 55616\n77621 90033\n62826 71854\n67843 71237\n10114 75489\n95061 99328\n3101 64553\n22072 95574\n29095 62694\n17549 65230\n60856 96694\n32244 62183\n54067 95730\n2699 5273\n43774 47265\n7038 91349\n40160 56528\n1148 64959\n9920 28196\n30383 85357\n63229 77697\n2965 30972\n35825 72798\n6399 31504\n42839 71256\n4238 37852\n9662 82960\n4856 83391\n14404 90875\n78247 84352\n5208 74559\n74405 93626\n25777 31723\n54236 74772\n8528 35556\n30685 58038\n15015 55180\n11019 89470\n13052 76373\n2015 89294\n10015 58314\n3362 21930\n19148 38599\n37103 43028\n17428 97493\n8504 75969\n55060 59409\n27258 73920\n9973 73032\n47137 99340\n38097 67828\n29009 50637\n51526 80797\n2031 78573\n12810 17842\n44807 80105\n75141 80270\n11721 58459\n2553 20403\n31945 84424\n5799 18827\n57043 84324\n11561 49486\n22365 37141\n64015 67384\n24745 93730\n62646 92260\n5406 33830\n42672 50449\n52913 67546\n88835 92427\n73281 89395\n51036 57379\n6360 61152\n41818 55809\n65258 79080\n26661 96697\n28434 37407\n11829 76045\n45215 56910\n56485 69398\n26052 79590\n41813 48809\n58173 87462\n18594 75287\n31577 41182\n28366 36847\n70695 89413\n58802 64819\n41726 92973\n57810 98393\n10883 27956\n10965 37321\n78407 89301\n39139 91547\n53163 63045\n13008 39439\n24982 64894\n37469 75590\n5584 30360\n25354 30442\n61515 74726\n38426 69882\n56733 83827\n8099 13978\n26997 44731\n36796 40823\n14080 60059\n60044 63077\n50845 51277\n24137 44884\n9261 64950\n13604 76129\n3117 86914\n298 40377\n16405 71889\n28813 30747\n20403 69773\n64327 99221\n32804 44291\n11481 80457\n11722 74036\n66509 69117\n16380 65495\n6911 23585\n6576 50329\n13148 39623\n40688 79390\n5366 22353\n36004 45289\n74605 85187\n55729 68273\n72631 97824\n45082 91337\n30770 95901\n21616 29976\n42505 52003\n17770 79375\n21577 22430\n4294 33809\n18995 40314\n11540 73773\n23169 27860\n38437 77401\n25609 28967\n37446 48377\n11132 92607\n73205 95085\n20408 22004\n10293 48532\n20948 80003\n42543 62062\n4291 40198\n23331 91810\n11103 16256\n22550 87048\n69662 85972\n10544 32843\n4272 93746\n47475 72042\n44832 70796\n15154 78426\n10109 67791\n10077 96092\n36347 48872\n26055 62374\n44611 76656\n24666 26551\n69914 78010\n73058 74688\n13343 50141\n44605 46236\n67755 84951\n12991 15967\n18878 19406\n4678 10405\n15348 80378\n24678 86233\n41674 91883\n34538 75181\n37408 52826\n66175 78112\n22749 46986\n68897 71908\n17624 35717\n33669 71418\n55563 77415\n84213 98802\n29910 66044\n47813 56512\n27292 87986\n30134 87580\n34999 37520\n69192 85446\n12029 84780\n2486 51991\n24189 28530\n43245 79934\n91338 96387\n26398 52564\n24924 44923\n18053 44364\n37907 54526\n58941 86287\n41194 45645\n19623 52172\n10620 61600\n10256 40764\n1300 70347\n71544 94130\n68689 92244\n54179 92999\n47892 50803\n8374 43338\n22991 82793\n8624 40947\n27360 56127\n28555 98324\n32783 54915\n37205 58862\n24463 45373\n23440 30614\n69857 78452\n43693 55716\n395 53779\n80211 90641\n46907 65995\n3472 50200\n43474 82498\n21890 43881\n54976 65659\n29496 51679\n40362 79183\n31095 35696\n32025 77487\n343 75288\n32153 70429\n5018 59713\n36620 94877\n49035 67362\n61768 99188\n20053 35959\n47517 55263\n3989 81350\n17078 36300\n1536 8222\n9520 52669\n26719 47420\n30884 68466\n35054 96501\n67821 70752\n45027 49117\n60314 78940\n28263 95911\n45967 98783\n49838 94783\n24937 63683\n22214 55881\n66937 88998\n2626 4318\n62075 79735\n77213 99035\n16941 91845\n5076 26895\n36718 62440\n34934 36931\n24647 39975\n10455 45474\n53775 73782\n29696 81517\n24121 89446\n27297 54409\n51939 54461\n48347 90851\n40591 44146\n10297 58235\n39510 70602\n22093 24209\n35678 53203\n5990 7720\n12064 27991\n43179 71751\n9146 11513\n57453 57656\n12687 96632\n1380 96475\n7011 75372\n5368 43211\n19821 93405\n2778 2795\n24728 34808\n35871 81438\n61327 91196\n47474 82510\n54934 59698\n8085 94172\n18997 24114\n18591 87267\n1671 67139\n11082 90816\n22243 55664\n34483 83344\n12377 76265\n39052 43647\n33960 95018\n44289 69465\n48216 86244\n10113 36314\n49332 88482\n78294 87950\n27999 45048\n36905 82092\n55967 58774\n13664 90784\n11145 78613\n40886 48280\n23085 54333\n40128 63354\n17390 29724\n60627 80925\n15705 66929\n69322 98141\n36020 64072\n29599 40893\n48534 48695\n23847 83718\n16492 72710\n15880 65992\n21944 26453\n70851 83158\n37040 85017\n31455 91534\n23157 36872\n29278 52486\n71793 76518\n48645 82280\n26442 66296\n16048 61632\n72675 73352\n39486 55556\n46426 55053\n63432 76731\n38459 75070\n39914 54453\n7536 10633\n14971 43541\n25239 32228\n47061 80069\n93530 94008\n58301 71326\n41324 71209\n27163 66288\n84329 96387\n10095 51635\n1960 42115\n16373 39397\n32989 48761\n55228 90956\n68083 80780\n37285 63379\n23124 40795\n25872 68656\n95273 96468\n639 24685\n68584 92471\n27908 48008\n36081 40677\n5468 55865\n56220 92394\n8103 65119\n43783 93798\n19483 44983\n74926 89730\n24788 85873\n28156 67955\n27343 71314\n18771 35959\n60091 98519\n24687 28057\n5590 89808\n91264 91659\n21347 47890\n83984 96907\n16808 75330\n38705 96357\n2313 33693\n54460 93344\n13405 77716\n48803 62155\n75667 87224\n43763 77000\n33504 88107\n1605 82684\n33423 54262\n95869 96642\n76799 78417\n54939 55695\n59164 68080\n9498 37524\n9255 19001\n77187 92365\n16674 22752\n44346 60368\n50351 62387\n1386 91186\n42850 66192\n82001 96808\n27725 85222\n35656 82472\n56040 71454\n21463 72893\n24636 27799\n25697 41440\n32316 49552\n40430 42184\n60140 77322\n21497 58508\n4062 44608\n6155 44113\n40547 87098\n83863 84629\n14149 34149\n57608 64463\n52886 58475\n77418 82906\n17110 19435\n8656 20560\n8754 62205\n44769 53113\n39464 86028\n1324 50035\n72309 89082\n67565 99452\n13565 46458\n19554 55455\n45160 91873\n31431 52989\n32601 77235\n9854 12569\n13191 76312\n35634 94332\n40299 43836\n24312 56815\n41194 76709\n67970 84217\n32886 83278\n17488 30250\n63870 69526\n26157 82052\n29065 49256\n26593 82190\n11378 40104\n25537 74692\n31811 99924\n5709 85299\n976 69578\n37893 73920\n21417 22782\n48652 96594\n5209 81989\n61705 81703\n6148 57924\n2196 96610\n55635 66824\n24904 79909\n577 97946\n52477 82306\n28465 34848\n39310 94058\n36747 41026\n80898 93558\n10078 33195\n31642 82302\n13566 72279\n38669 49793\n12039 98668\n13617 21752\n29186 89059\n1447 85787\n9590 25703\n42184 64074\n60275 88010\n52277 61332\n5156 99639\n11620 36105\n20409 72219\n5240 95687\n51896 97414\n22849 94596\n43110 91791\n61092 77648\n26903 27650\n25263 68263\n68453 91693\n10921 31193\n28176 52579\n71870 91483\n94027 96318\n86438 91528\n5049 82197\n1038 53776\n9272 21565\n21512 59405\n11366 64916\n18052 50909\n24129 52882\n54686 92931\n6747 69111\n78154 91826\n566 33093\n59927 83462\n25948 75978\n32997 76396\n12241 72115\n27435 28685\n66031 75240\n14597 81921\n92965 93615\n21956 82295\n42313 97821\n67913 82475\n11553 75229\n34922 39370\n10631 32663\n34794 79879\n3772 41324\n77623 81952\n5035 32156\n89850 95064\n55392 88642\n22030 74661\n41011 89274\n73486 99678\n4002 81718\n42165 97484\n13765 99464\n18555 50922\n20535 76515\n6918 53872\n49853 57232\n13072 36722\n33685 95103\n6225 94101\n6344 73379\n27350 95354\n4497 98945\n89039 99837\n67148 79227\n71240 71414\n2397 31563\n21933 23314\n12994 65407\n73206 92169\n38710 69583\n6039 80587\n20213 82343\n58075 88352\n22879 83116\n11094 25313\n41803 74685\n57632 83126\n69283 79835\n19138 80199\n24505 50017\n11539 83773\n20660 96012\n4115 88106\n30346 59907\n14372 75363\n34817 48735\n50705 95974\n18014 54020\n60858 86027\n34845 78057\n45157 53890\n73712 74322\n29334 88920\n23797 33452\n13056 44949\n10169 30379\n20973 41660\n25506 38364\n50894 57285\n5183 18887\n88224 98841\n6660 25969\n45546 73144\n23656 88004\n24275 89075\n47507 68587\n13118 30186\n11230 30836\n9973 23278\n6445 14566\n43670 80456\n58590 65540\n34311 55178\n21620 78496\n2937 50494\n55605 65478\n41137 96419\n5155 92734\n86387 88073\n19322 57710\n33130 36183\n63884 67446\n67652 70743\n24581 92151\n5187 93139\n15787 93752\n25914 66724\n5790 76910\n28161 38403\n41568 49899\n35819 76261\n23492 45909\n56428 83481\n30816 32396\n28745 76333\n6554 67385\n44677 65665\n73673 94440\n32075 69668\n45784 75248\n5232 67290\n29441 48168\n67703 74563\n11649 96558\n71388 77842\n1163 73301\n30856 89766\n13247 18914\n31385 60250\n28067 98101\n13371 89978\n64830 94796\n19243 75164\n33933 77889\n6639 18187\n30150 30976\n35489 70609\n9215 59267\n61179 66686\n33919 39651\n50420 75926\n44422 58954\n32268 73489\n6898 14524\n24442 68460\n780 77496\n40892 99624\n51801 72598\n61280 70290\n38157 67972\n14188 86599\n19415 88167\n1984 59136\n11725 85637\n29880 91528\n20699 47109\n18336 86857\n8803 55251\n530 21453\n84539 99896\n12719 76034\n10005 31076\n75419 87859\n69210 79445\n1825 98486\n43449 70462\n25566 32573\n10389 20990\n8301 72732\n70874 90456\n54876 94509\n50906 80383\n114 92669\n23848 99142\n23693 66577\n3158 7209\n42790 89416\n37839 52139\n45418 82632\n9890 54077\n39093 83341\n34184 47193\n71334 96246\n67789 81409\n13435 92026\n64511 86927\n28929 71314\n60034 60212\n43114 49238\n36934 60625\n11210 42774\n45686 50089\n530 31938\n47483 75779\n62507 85635\n47644 58862\n8563 24438\n56109 90436\n42006 51241\n10718 42293\n14396 17527\n37335 38275\n64901 76118\n54184 77483\n78100 93866\n1446 83406\n47994 53726\n27388 70136\n18262 53664\n34455 62222\n4519 77409\n20720 66379\n60261 88167\n62417 81338\n32098 60019\n20980 24017\n19058 68214\n919 9204\n60286 76310\n26239 54626\n10782 70483\n35485 55035\n18438 47613\n60740 96471\n45663 67184\n22883 86535\n52993 99082\n8354 12003\n38227 86657\n8794 61388\n72720 96555\n24770 96921\n11103 86324\n77688 96249\n37854 93145\n13581 80903\n5492 97322\n16341 27709\n8004 56340\n34366 56622\n6168 58906\n40576 63382\n20647 87441\n1510 6932\n34589 69300\n16088 22865\n69765 77439\n27106 75285\n53946 89213\n70284 88592\n55593 71335\n33850 82696\n53758 69849\n3892 47814\n19765 61480\n19809 62240\n33333 85227\n62237 85121\n27233 44928\n28876 89336\n18457 71004\n35550 84497\n69137 85903\n18147 46728\n51227 89524\n73787 94952\n4848 83960\n15177 68620\n49039 69540\n44826 59480\n20748 45601\n2662 56117\n11174 26993\n19420 23605\n25325 99419\n17054 85037\n38955 61543\n51909 99568\n59029 86665\n7940 72632\n17680 65698\n72893 98491\n7588 61815\n85981 88783\n24915 62089\n59088 70874\n8366 97639\n44665 71351\n3884 40381\n51551 89884\n23566 49929\n12209 64781\n9934 64963\n49950 73851\n63923 89357\n50091 51022\n14761 47503\n3731 55628\n10887 70240\n4121 70834\n42892 53503\n58609 63727\n29023 65419\n17172 69955\n3416 38586\n46243 49284\n49732 78000\n70764 87537\n43029 72950\n27654 93657\n8094 51644\n22860 79913\n58570 76211\n52099 86437\n12173 14792\n18826 25485\n49836 61054\n41632 90007\n94630 96652\n7427 21410\n18643 61871\n26866 42036\n8532 65880\n16700 22611\n16163 52886\n14736 87692\n2904 92461\n4362 29762\n67786 84448\n52287 87943\n41483 59890\n63297 65967\n18128 90086\n77388 89261\n42095 74957\n65450 93091\n82231 86722\n28095 36201\n23170 64006\n5165 53395\n18010 82932\n62567 74064\n37455 45546\n4806 92378\n39190 40412\n44858 45489\n75627 77713\n2823 31502\n65476 74878\n15674 16035\n18366 99734\n12953 24522\n8938 11207\n23607 25486\n21456 87250\n49964 92193\n49386 75724\n6644 37296\n7715 29765\n20326 75272\n51569 64514\n2810 42175\n40774 79775\n31852 83713\n47058 95196\n42049 93251\n4872 29380\n72737 89417\n3846 52532\n73612 96604\n15886 38931\n17538 29256\n60973 79977\n21601 57129\n5411 24609\n23040 97534\n68177 86081\n59649 70056\n36372 71575\n21427 65124\n9365 35040\n55929 66431\n1331 10890\n2410 79509\n45134 75428\n75640 85014\n47817 71581\n13187 25882\n20501 72293\n74522 85313\n19388 66607\n14512 69160\n17428 90649\n37474 41762\n30605 48194\n13214 66093\n42043 69261\n4503 43140\n21129 64404\n2888 46660\n70262 91273\n49894 68448\n3180 29282\n33881 99334\n819 83666\n24054 82962\n32950 67260\n10409 50601\n56970 79549\n15602 55737\n46401 91688\n6082 69446\n1046 39845\n19126 62178\n28968 30659\n49332 82714\n58745 69960\n4837 34529\n19548 87201\n5544 47079\n58700 87994\n40737 81092\n53513 92862\n36294 98446\n33156 85968\n7028 34225\n21749 92482\n36950 55572\n42177 63276\n12157 71695\n49793 50165\n14792 41756\n7541 35738\n66432 84820\n37067 40869\n38875 49064\n3676 20739\n40491 42017\n18404 81584\n27881 71886\n35207 91714\n70115 96765\n7583 52151\n74905 89200\n6936 87005\n32544 82920\n28643 47313\n13913 81806\n32120 60021\n47997 65349\n5837 66460\n6250 24470\n37131 79215\n42423 50873\n63351 81405\n15741 36590\n39693 73987\n304 44718\n19500 57444\n67424 96913\n19360 58124\n7075 16469\n28095 49065\n66646 88864\n22829 37438\n21473 79507\n44187 64313\n19410 81449\n96867 99892\n43329 63153\n25379 38112\n20508 35314\n14310 80975\n60799 81865\n40251 92046\n5421 42552\n44012 94770\n46226 74100\n2841 52897\n32476 93008\n13472 39972\n23082 53225\n42039 84796\n74648 81772\n85703 93856\n12123 76482\n12019 22928\n29542 68675\n1468 94826\n44758 93151\n66911 97804\n41132 54665\n34687 79771\n21623 81726\n80256 95745\n22387 61301\n29532 39308\n20730 44727\n43380 70409\n55092 71663\n46292 94113\n22334 82662\n37220 76658\n20531 96159\n14536 81894\n59617 77984\n14114 83054\n58715 81546\n25739 96964\n4967 23632\n8273 36794\n19178 70168\n71996 95843\n8504 69565\n10808 36288\n39143 42992\n41615 56368\n3994 42966\n18942 21116\n29079 72881\n20729 92519\n36976 80884\n80186 82884\n66410 70256\n36876 44962\n48566 57912\n30825 30831\n56297 62589\n37362 78175\n56975 84001\n70888 95732\n26733 50993\n65908 86967\n31847 85274\n13959 43095\n32806 91208\n68578 81315\n51674 68472\n29371 62071\n43611 57973\n19753 48702\n7481 41777\n60891 76839\n54964 55489\n52075 83598\n4229 22090\n64661 89344\n75259 89027\n51589 69819\n19346 78232\n60976 85023\n50846 93644\n27379 57883\n3635 87247\n30269 86968\n10736 42977\n31871 38615\n24699 40871\n17083 74836\n39621 99581\n18296 93677\n54194 90253\n54280 96913\n56210 90019\n8897 20041\n32353 68920\n5795 84605\n91096 93892\n3803 71043\n87130 88293\n30221 35529\n53863 80905\n52164 99448\n17834 96778\n50912 77467\n20972 93350\n26965 71996\n9890 18890\n22236 28643\n60245 91055\n45775 54636\n5040 43119\n35078 93872\n16783 63987\n3640 34960\n90503 95832\n48361 64300\n13697 19423\n56338 64965\n35824 40533\n38359 94277\n36430 75185\n7058 28049\n26555 64808\n27539 28441\n54565 74287\n42198 59741\n20223 89703\n54923 82303\n79259 88323\n2852 13330\n33177 85380\n25607 76308\n32696 71017\n83760 96586\n10819 25440\n91859 99802\n17465 42888\n1946 99307\n21364 99425\n44800 60116\n32419 70765\n7820 20302\n35146 74199\n7129 88615\n9780 90791\n26519 96334\n68264 76772\n53883 79319\n4011 17730\n4297 82702\n38175 48832\n92196 97633\n40109 53418\n32228 60955\n39298 72502\n47196 57158\n52619 94676\n63195 91173\n16598 50671\n29636 51452\n5966 8532\n61463 77515\n19236 65294\n95663 97055\n6566 97396\n70763 72960\n32332 97898\n21115 78380\n12254 25165\n26282 87292\n30174 94067\n610 5346\n70917 81235\n24960 61748\n11146 42178\n25430 34031\n25471 40121\n20347 61619\n31417 63205\n3910 4932\n10083 34094\n69867 86124\n51795 90586\n22239 99343\n3956 9126\n12484 87574\n19028 68147\n2387 73226\n76096 82342\n25429 58915\n38397 71413\n50528 51006\n69781 85721\n13075 82138\n58536 99506\n11250 72132\n35408 46903\n8660 92355\n10631 43813\n6304 50436\n34578 52130\n27117 41315\n10071 80004\n60829 99978\n27294 95613\n25434 34029\n20340 66439\n46129 84723\n67140 86873\n48852 59119\n28915 54477\n67983 94058\n52682 87704\n51262 94087\n2233 54051\n10855 51447\n52645 90137\n58682 89998\n40848 83642\n40989 78011\n4181 63889\n71572 90921\n52554 93750\n13650 83692\n18681 61154\n55829 98701\n12266 56397\n28356 37078\n59875 74622\n11523 30503\n16662 26741\n48251 55407\n29086 80800\n557 98262\n63226 97955\n47277 82066\n69788 82054\n8099 19964\n34978 36089\n45437 72262\n43456 55428\n20005 95084\n92831 93182\n48952 80792\n9244 12528\n37585 88851\n53865 67563\n67650 94093\n19974 49626\n10531 86217\n3272 26697\n66377 79667\n34853 41563\n7596 34240\n3871 53873\n4391 52683\n57870 77367\n56487 93894\n2685 76710\n54970 59502\n15649 49282\n2211 31315\n226 11981\n6627 46253\n15121 78671\n87858 93583\n55719 94628\n25670 26580\n227 59846\n11418 29421\n15143 55138\n22603 65216\n47392 74046\n3666 72497\n27024 96723\n38193 40178\n29330 77577\n37693 48278\n24246 80830\n6859 42964\n1849 17535\n41722 45437\n44870 71490\n11008 78214\n11732 51045\n1734 65123\n26838 77455\n15368 44020\n11057 14914\n43995 99790\n29583 37114\n53689 97976\n60443 79278\n11637 29803\n29559 39201\n63369 72405\n33880 42394\n68752 96190\n3548 32250\n54475 70772\n46208 61032\n15730 84034\n45964 91966\n1595 52876\n21220 99178\n13495 71287\n19878 36773\n3157 30846\n2031 35806\n69269 79860\n21500 45098\n24227 37533\n2855 79079\n29051 92391\n26133 79649\n32687 84327\n70001 85436\n34331 48363\n52117 86317\n73349 86797\n42136 87745\n5902 13260\n22027 99485\n5534 22507\n13917 22641\n20641 40059\n25997 61526\n8534 79343\n55597 68498\n40951 80897\n35955 37466\n4517 14218\n34597 68059\n27409 94561\n885 15776\n28315 30393\n42606 67390\n14061 25871\n28616 88667\n6524 36959\n16529 81951\n28477 55380\n52540 84114\n13025 57043\n48677 63725\n52699 67407\n90046 96117\n13248 86429\n1835 69772\n5594 57671\n51005 67935\n37576 78645\n3743 84621\n25925 36568\n20029 85731\n55929 75502\n29838 55993\n40219 97493\n23986 68636\n19076 49778\n1705 15130\n17902 51319\n1626 1705\n1332 40152\n47050 56709\n19544 91876\n5926 57288\n8667 74740\n47198 86414\n20900 70002\n6212 81576\n31373 67677\n35252 54234\n32544 89066\n4975 10112\n21735 69020\n28174 61012\n32006 63286\n23425 85098\n2187 23199\n20276 80559\n30410 31203\n8412 86500\n64820 79121\n80916 82960\n15808 43681\n39482 83739\n92680 96280\n76133 79222\n1093 18462\n6476 45120\n7810 71316\n64949 95545\n58751 85182\n12483 95552\n29537 31356\n8984 76855\n70557 84709\n56264 67685\n42387 42715\n75360 89274\n3713 97604\n40774 89573\n37367 59837\n13630 20866\n27990 77055\n47537 66719\n16580 83033\n3517 68831\n56641 71306\n48248 99061\n11373 95930\n13110 17485\n20616 72905\n226 47254\n23398 78833\n6215 65795\n81993 91950\n45326 93426\n31408 36585\n82327 88147\n23093 26539\n49455 59649\n54287 71998\n23861 36251\n11920 22776\n40453 81863\n13604 20583\n38671 65643\n16268 88786\n31750 66053\n6074 39274\n13126 75031\n13209 95889\n72967 79407\n13560 71577\n2458 61706\n36955 76845\n27124 49968\n162 82963\n61174 73603\n35738 48268\n55146 60329\n11493 32353\n56150 83175\n26193 60419\n7631 59844\n46056 63952\n1734 64124\n38754 62898\n53471 99856\n74090 85874\n11759 91735\n10853 16630\n43257 70325\n44955 58708\n73663 77807\n90554 97748\n53268 92561\n37445 61265\n2990 18755\n76513 80141\n5618 53685\n35009 98057\n18278 83080\n37247 37272\n38640 82860\n51575 53622\n15317 55858\n787 76796\n10323 73958\n21379 61980\n18768 39156\n28041 50000\n19723 55670\n41772 60473\n39943 51811\n64356 96774\n49701 95048\n26829 66448\n3124 50189\n36836 89464\n55028 89901\n26779 40451\n9642 33592\n69031 78288\n62717 74287\n78103 91674\n7492 69323\n25394 38705\n6865 52292\n11997 91454\n55977 73827\n46350 56295\n34235 76965\n28032 96969\n43088 55594\n8128 20665\n53835 92158\n69712 84486\n34112 65217\n581 34022\n10056 70902\n10687 82260\n16143 45945\n12930 34159\n56368 98434\n32632 53868\n57440 85778\n61647 86297\n49717 82800\n72133 80475\n86443 88035\n37062 42570\n67354 93107\n12531 47883\n56385 56881\n31722 51835\n14013 23299\n35178 46167\n59530 64910\n11967 67856\n67405 92497\n535 73389\n494 40715\n11549 24708\n63746 68080\n64112 91786\n12290 82735\n60222 78250\n36086 94904\n38198 80656\n22869 84721\n40677 79315\n24296 68245\n6637 54529\n45319 64359\n35152 85693\n38422 75202\n37180 84022\n24168 64531\n37701 60293\n9208 65128\n19144 92094\n21695 52500\n29464 53506\n25612 67208\n452 33441\n14397 47618\n34995 40565\n24851 66929\n12602 47426\n13470 71564\n15656 67392\n1042 14357\n4945 18319\n46830 76944\n26428 59002\n1558 76284\n7752 49922\n42956 43833\n89405 98600\n3104 16713\n36910 42988\n38262 83210\n13453 24762\n26803 98027\n71164 90679\n27897 69322\n4817 30197\n36102 80590\n22846 56358\n50988 54041\n18349 81817\n3623 45661\n83329 91466\n4713 65892\n75452 98786\n2102 14394\n45072 61652\n12584 57316\n50432 76953\n25433 26745\n22501 76096\n117 58064\n28391 62105\n19489 30283\n56677 84239\n40484 95802\n21500 54032\n2932 38792\n14033 50882\n10450 63014\n26831 92737\n23424 34635\n25171 33904\n18700 34747\n15088 79259\n37033 77572\n21832 43538\n71768 83053\n11518 69358\n2984 10456\n26359 45203\n12363 64433\n27737 87846\n10582 75254\n320 41919\n52868 54777\n40816 99508\n4947 78851\n10608 62473\n58869 90747\n1610 68082\n13028 13116\n63718 98031\n9470 17825\n1101 93780\n35467 71397\n62636 86698\n11042 32998\n9533 59637\n14352 35596\n33209 94413\n38551 82927\n34861 87364\n46193 99578\n1454 45610\n16857 16982\n22233 51196\n25844 31473\n43046 85276\n163 28486\n6814 9385\n8885 74183\n52146 77645\n81557 93287\n6147 28742\n10969 25609\n91442 98751\n47313 54401\n8940 47275\n44233 63412\n19100 76412\n25755 64522\n42976 97485\n74338 78827\n21225 36065\n4817 23673\n34801 79956\n6373 81687\n35962 93948\n56720 70319\n49562 77029\n24590 82517\n64801 80136\n74842 90329\n55592 60793\n83719 94284\n67376 74419\n21251 43292\n22035 81794\n9431 28246\n69806 94368\n2742 60179\n5300 94590\n468 35454\n59159 71618\n70493 71587\n49182 88573\n93883 98447\n10101 30669\n4657 32765\n53128 56452\n63639 72795\n16871 32604\n30122 67537\n43651 65436\n10227 85026\n68276 94173\n46560 92243\n32713 72894\n18110 45005\n34179 63446\n68201 95606\n7082 34709\n57130 96262\n13188 78035\n37491 83296\n8418 77197\n31552 76755\n16282 81923\n3760 7222\n24394 47443\n21504 89793\n5470 78553\n2919 95164\n49922 68156\n35244 90204\n2932 13238\n91090 99030\n5139 33848\n76103 96270\n61704 93995\n29618 95428\n34644 91991\n37945 82238\n39016 69825\n5575 6143\n54126 75195\n80557 80632\n2943 57680\n17528 49416\n21750 96375\n1561 94249\n45942 79077\n30909 74681\n3143 63397\n28741 29716\n56023 69786\n83099 88936\n69518 74571\n23370 51001\n13635 96245\n10893 74118\n30135 68862\n27314 34329\n64368 72637\n35392 79167\n21666 63791\n66870 95971\n35959 58257\n17776 40978\n19757 90705\n1913 3697\n11284 34914\n47579 49633\n22374 57544\n58077 83021\n9692 32886\n56779 65030\n6019 62619\n16021 79623\n6576 31266\n18311 53716\n68235 81497\n23758 76076\n43917 59227\n20741 93359\n1290 80934\n16935 40092\n41379 62984\n2921 99629\n55113 90073\n35833 72466\n76944 98849\n57764 79747\n55962 60222\n49758 55849\n947 30134\n2785 24175\n45269 83595\n13375 51701\n7214 44786\n30023 52505\n45169 76529\n39025 83834\n81760 99988\n58586 78937\n3396 62006\n52709 79880\n42309 66254\n54832 79395\n31197 80286\n10413 24176\n13230 14275\n13282 78954\n13604 51704\n59278 99400\n23786 52442\n5143 29627\n3729 62352\n43252 74370\n5526 42903\n13363 37186\n61364 72017\n34890 74958\n10221 17555\n35949 68461\n41974 98652\n29438 69834\n67692 80690\n68613 70716\n31551 65752\n46550 49987\n39848 87826\n5412 68097\n3058 5852\n4194 67558\n35663 95869\n25362 97827\n49316 59524\n57982 62435\n38390 84639\n15747 92292\n75605 86939\n9263 47860\n64377 98884\n43552 69564\n87891 89504\n16823 69012\n52703 65146\n22382 84639\n50123 74061\n46094 59842\n3232 34807\n60665 75578\n20545 60141\n37820 74923\n1967 56035\n45682 61755\n30130 41721\n68538 93609\n47782 81457\n175 74015\n28969 77085\n55207 58681\n80245 95738\n49429 87710\n41008 82136\n33950 58800\n36264 55925\n26285 34399\n23766 31094\n726 14641\n19735 41506\n31182 56296\n19521 94499\n28587 76083\n53042 82317\n23526 26568\n51248 82886\n10884 23686\n14314 21228\n53001 68195\n46556 76442\n2437 18082\n19562 36924\n57297 74729\n95 73214\n400 68556\n14244 99473\n28119 98201\n3779 91939\n31348 46773\n67568 71319\n16532 56040\n63522 76173\n24663 63202\n22192 95975\n51849 75366\n3156 71924\n7126 25423\n80247 81416\n71816 92111\n2099 8919\n10028 50826\n15501 81135\n1959 23953\n78816 99155\n64482 76172\n7560 42006\n13872 19096\n49591 92109\n38311 79749\n4489 46587\n37242 97741\n33648 70639\n80140 90281\n63726 85741\n52280 92283\n27435 45738\n41295 88439\n81421 86645\n41366 55470\n67505 87351\n3009 91873\n26507 88858\n9828 12738\n5126 30582\n32135 99445\n61030 86673\n91687 95851\n70183 77036\n42048 47989\n40996 80267\n48371 71888\n6277 80652\n32753 87697\n4587 60806\n8096 94032\n37539 92209\n22762 65912\n55781 66845\n79568 94908\n7852 36108\n17613 45080\n7347 85774\n7217 80849\n26928 78166\n14723 67176\n40758 71122\n8874 54047\n54828 64207\n3643 28188\n50061 70246\n8659 85984\n21079 49411\n48574 80467\n7909 10329\n64325 95115\n34594 38310\n63658 75534\n26550 26671\n11420 35836\n44650 64788\n48248 53091\n10551 97353\n81148 84304\n24735 69238\n25853 69486\n8057 16137\n41689 62024\n14726 68423\n26960 65086\n76502 93544\n41291 66871\n46491 76941\n22359 47991\n15214 49133\n10945 14923\n72554 86178\n1112 75736\n46658 76345\n78458 83954\n18975 67367\n22661 55687\n59696 68617\n16214 87614\n67298 98678\n57109 62925\n18020 46308\n16144 83592\n15069 79631\n16952 52790\n41458 87290\n44836 87011\n33974 91351\n38555 77154\n1445 6132\n66652 88784\n20765 88941\n31396 95572\n25343 35946\n35499 37187\n56233 78280\n6348 71513\n29173 67193\n37889 92430\n28429 51224\n24452 72138\n41416 97043\n9051 52151\n43212 54071\n19096 81919\n18462 20305\n2211 4788\n8029 60316\n68678 83092\n64827 99411\n42330 87601\n11326 48697\n27863 95971\n48199 53763\n15357 42445\n71718 81950\n89730 97624\n25714 49619\n60707 71650\n4248 27673\n35726 58563\n15269 78760\n1654 62179\n3035 98140\n51245 60696\n29078 60981\n48163 65261\n7564 53538\n3564 65725\n5434 67905\n42541 81982\n22660 25691\n2110 48728\n1885 93434\n14862 91629\n19150 51089\n6473 92328\n32477 59761\n44805 92316\n5135 65182\n17923 97725\n36849 87472\n21045 69714\n11995 35560\n26250 89403\n40090 76043\n19346 38631\n31597 52626\n74859 78892\n19235 94713\n61953 67347\n35501 99766\n6032 82867\n38602 71483\n2099 34942\n15239 53079\n70258 84690\n9575 96154\n29948 68988\n7795 45379\n918 89003\n22849 42109\n31828 61032\n9530 61601\n32397 45612\n22690 97203\n8858 22338\n69891 88306\n11211 72911\n34397 73415\n19214 47271\n50996 63013\n75153 95611\n40083 82173\n46026 73653\n28037 29273\n12166 15333\n14446 77278\n3561 11279\n33444 51383\n29407 56634\n22746 57128\n50160 60589\n16897 92679\n69848 70012\n19771 71392\n51975 84130\n42473 61707\n57868 76436\n74982 80856\n72408 94198\n54433 67001\n14534 33762\n7173 63924\n59698 80866\n26583 88367\n33237 69090\n13693 86152\n17721 53758\n57156 73584\n439 95079\n40184 60694\n69604 73728\n78332 92953\n30695 63489\n28318 86170\n84833 89352\n31340 31540\n80091 95599\n11394 60206\n70542 90851\n24824 32612\n13701 51231\n45340 84251\n26819 27510\n3556 32779\n13456 96738\n7279 10837\n42802 90234\n74486 96125\n5491 48676\n40466 71825\n24074 42838\n23502 44289\n52423 84232\n16758 71378\n52386 75016\n29507 44712\n50386 64618\n31727 32638\n50792 75036\n17795 46080\n38978 68188\n25418 83818\n53868 84533\n64489 77003\n6357 60784\n40436 85060\n13365 96890\n19426 71703\n50204 86803\n65869 81315\n80908 95404\n17926 22774\n23086 70786\n27465 32029\n26667 49481\n27338 52269\n36980 95041\n35906 86855\n64944 70157\n33697 79547\n40840 86756\n54623 62728\n20868 95824\n18793 71107\n53787 68767\n57555 95720\n58665 68077\n6000 59770\n17386 40584\n40663 57676\n8639 75253\n4101 76313\n29449 62051\n31457 65278\n64133 80981\n32754 86092\n992 66770\n16650 91864\n75072 87689\n40030 43338\n11568 48146\n62790 95571\n1289 52071\n10603 22848\n55972 82426\n26596 55265\n88001 96750\n6538 72122\n19284 35100\n33306 89493\n5594 68060\n15986 91907\n16429 18306\n44268 66385\n79969 83335\n32736 49518\n2183 43142\n4614 41489\n24168 89242\n29110 57918\n42444 47155\n37824 58911\n50947 72252\n32839 90923\n48525 84173\n26455 58252\n3416 12392\n28293 83625\n26583 35282\n2227 11842\n60819 89148\n9426 58027\n25788 54213\n5451 29008\n47568 93690\n6386 93385\n20449 63561\n16844 91694\n48612 65110\n37408 54811\n47122 56988\n12282 62189\n6742 62443\n5656 50056\n32473 54337\n31767 51626\n41878 57726\n72599 81183\n3091 99027\n83825 91263\n23961 95422\n5207 77780\n1820 87046\n21216 85040\n44543 85411\n17850 79835\n17979 74027\n53659 73518\n1869 82336\n18194 71673\n55908 87241\n55495 96778\n15315 36012\n57398 69158\n1116 77692\n61948 74903\n86829 91893\n24738 77691\n991 82023\n53143 57001\n45203 59360\n22620 95861\n8733 34487\n22884 75842\n29321 68123\n8804 17435\n63668 81686\n39383 85576\n94954 96550\n26568 55343\n3856 45610\n56217 68790\n38899 50738\n30399 89499\n4348 83323\n32660 92695\n80691 81187\n28299 30790\n21543 41118\n42879 56273\n31785 40473\n37961 45142\n31109 71812\n19303 32662\n41932 71033\n37173 64034\n9484 32183\n81981 92090\n34903 92403\n55025 55499\n42796 49671\n49288 96948\n3431 8687\n21606 75522\n28541 62838\n80136 91421\n48436 54532\n22196 38038\n33011 36362\n44594 72511\n40404 96443\n13465 91644\n4717 73288\n34427 62789\n87162 89780\n16405 34836\n86760 88605\n21958 52900\n67873 71068\n26446 72971\n25078 36760\n73606 99480\n50494 77471\n84929 86146\n73600 95839\n38549 82217\n2716 3711\n19195 40541\n59033 63949\n32823 64390\n31812 49647\n46306 74841\n1053 54778\n10711 27493\n11900 84103\n2691 62848\n7508 90434\n74313 81362\n38292 60710\n72536 78317\n18500 74926\n27765 52042\n35802 82646\n7991 43936\n27538 89552\n19198 61584\n6168 60807\n42069 42812\n19585 22891\n9849 12948\n24494 28485\n5585 27371\n62856 78350\n55416 89186\n57364 92512\n74181 81526\n36213 87856\n31782 65770\n39138 41312\n7726 45707\n7370 52518\n16983 26895\n15697 27237\n64203 78964\n55638 56745\n8675 52012\n38510 97447\n16543 86866\n34745 72448\n38358 96502\n9696 89976\n69909 72595\n39510 61482\n36042 46205\n7777 9857\n26947 74495\n14180 98079\n39586 65487\n13041 87514\n3058 99413\n206 76822\n20421 78882\n107 14341\n57238 72438\n30547 40601\n25383 83701\n5040 68621\n23899 29251\n55660 88142\n61634 99890\n34665 51208\n24945 62928\n40207 92771\n61561 65380\n38627 95232\n32089 97845\n83715 93314\n8041 65671\n27952 36076\n44323 70376\n54058 87644\n44487 72071\n13991 95617\n53760 54160\n54263 66050\n92525 96433\n31136 42757\n41333 96216\n37105 99990\n4645 78026\n59799 95124\n31986 97858\n16022 68344\n6356 75730\n21640 72552\n6801 35881\n51513 52989\n28734 86129\n34415 50479\n40026 65846\n7768 9242\n60862 74216\n40151 73927\n22140 76283\n13360 63259\n20605 45767\n43663 47821\n2425 52835\n49861 98763\n28501 83611\n4036 53565\n41559 83344\n52568 80437\n14006 92709\n24017 98040\n62043 94875\n53734 66399\n18518 44205\n3087 97432\n20925 87356\n39165 99576\n47730 80123\n8682 34013\n62703 95890\n35997 53027\n40869 88914\n30286 95592\n7979 8349\n25022 52651\n85498 97460\n30181 99617\n8913 72833\n11715 55989\n35861 48484\n62360 82280\n32144 35883\n58323 99571\n6271 26635\n45308 71130\n19304 83492\n4725 6028\n30135 48368\n45433 97652\n37851 41592\n6121 36692\n4579 45618\n32319 36873\n14198 72551\n7588 15396\n78219 90030\n31005 82989\n34289 43049\n5179 79250\n34768 81212\n39395 84722\n48986 83049\n270 96984\n16135 85857\n34807 69400\n12502 23963\n33616 54745\n22063 54469\n17597 70497\n35833 94599\n20205 76528\n25402 85916\n42524 60531\n24738 98839\n206 11017\n5298 39568\n2178 97401\n19633 58238\n47510 94767\n50272 55110\n33275 91012\n34223 93020\n6898 11909\n19373 66355\n20041 98438\n43999 47179\n33936 63778\n50277 86227\n48567 56516\n49388 92577\n11735 66909\n65414 71048\n36877 56518\n22398 99607\n37700 92010\n69224 98350\n6594 83645\n11559 45149\n5553 29862\n5495 38627\n40984 60468\n89981 99593\n77048 87818\n13255 26805\n1971 39638\n190 97269\n45899 54850\n19392 23912\n46515 82317\n55388 60004\n12803 49171\n30518 88590\n23678 27097\n28015 92428\n22202 92287\n11692 29145\n44719 79753\n24695 71496\n44099 60563\n38114 73738\n21289 87575\n47131 50876\n13185 68233\n21166 61679\n18323 64852\n22178 78384\n17016 74773\n5014 18785\n752 19008\n24575 80871\n10852 42017\n16028 21586\n39438 91574\n38289 69302\n22243 24662\n47246 72095\n32027 33523\n44975 84582\n11043 25574\n32204 70536\n17676 29508\n33721 68096\n44464 63289\n19206 78500\n31182 63941\n51876 54126\n12379 19321\n11840 36117\n94126 96162\n19811 88006\n77662 78248\n42756 91534\n17682 45892\n1428 20022\n31599 54004\n43205 79251\n21270 77682\n36276 47001\n61649 64135\n42677 76316\n26385 37987\n65104 76494\n58300 95215\n15802 32013\n33179 60706\n16196 46020\n32860 60651\n2438 86278\n44272 60807\n70859 78588\n51388 73830\n55957 56620\n5928 26325\n3658 39389\n31065 56364\n38526 61754\n43318 86253\n32101 69801\n3214 16890\n28508 36982\n31392 56405\n9814 82347\n19454 84851\n28933 92181\n1756 14321\n60344 94784\n31033 52636\n46051 69196\n8008 41628\n13673 17743\n37410 45900\n33667 95489\n66365 94037\n24593 66105\n1989 22836\n10417 50847\n25775 52688\n13413 48292\n77682 98433\n4376 40595\n29682 99664\n30358 95277\n27781 81747\n26717 95147\n30699 81604\n67050 77197\n41791 83129\n69794 73602\n23642 67381\n54061 76818\n35492 40979\n34401 69457\n35020 91788\n63619 69100\n6695 43209\n58566 73844\n71578 81034\n56959 60263\n4200 82822\n20601 84307\n35896 74684\n25868 28616\n36469 80847\n1930 13813\n25587 29141\n68970 82843\n34257 70102\n2812 84168\n76050 86013\n2875 89816\n31653 36772\n17944 41089\n41910 72094\n30164 71712\n81920 99202\n38117 57863\n671 62903\n54352 61177\n26279 69596\n835 20985\n18043 45071\n27190 41592\n47267 93487\n59798 64880\n26017 54982\n14785 31608\n22668 94839\n52592 82897\n12687 47100\n25347 84898\n46032 95579\n10153 47339\n35069 47143\n83610 88979\n80942 95806\n47966 69707\n41703 47321\n28374 70845\n12186 49507\n25632 37106\n13950 55524\n50825 77987\n29320 52328\n66809 78970\n60536 69137\n42068 65794\n11409 76100\n12803 99320\n37352 58515\n64000 66320\n3141 8351\n40429 79113\n3116 83446\n2060 91587\n40571 84768\n26769 64089\n17183 99159\n8431 46646\n18175 63486\n88352 99125\n5178 8401\n9820 27900\n38844 64930\n83457 97622\n26544 61014\n23744 91664\n16671 54120\n69348 79790\n64967 73290\n79893 98723\n10873 47460\n37155 43705\n49724 54411\n13789 36633\n18431 22775\n10582 16555\n14206 34714\n13529 17273\n7967 41136\n3835 86625\n26478 76451\n48443 52881\n16883 16924\n22243 59899\n20389 31819\n29442 75393\n36145 95192\n68281 90696\n31815 43227\n54362 74352\n26166 71806\n40069 46362\n9798 17459\n59453 86084\n17188 34327\n62737 80000\n84710 94919\n1792 49483\n42117 87787\n37154 88148\n2204 51976\n10836 57068\n61324 97806\n9319 56083\n59190 79356\n539 21011\n40976 72026\n50057 66933\n52747 61538\n31480 93667\n2656 25277\n14137 56932\n34210 68743\n24770 80418\n44572 64669\n11522 49382\n8522 34918\n13050 23114\n19982 49165\n27873 82872\n35157 90956\n15260 89302\n74044 75604\n12077 15128\n34335 41181\n4977 57847\n12185 31693\n39560 99547\n79889 87409\n2542 27039\n6906 38054\n46308 47422\n21371 48128\n6878 28047\n3578 65741\n37331 85798\n18266 40675\n6198 17833\n46465 69398\n36668 67077\n10205 28460\n3215 14890\n51359 79322\n35262 49483\n16744 22491\n70482 71911\n9782 56957\n8164 42697\n68588 91029\n24186 46764\n30552 39145\n19712 80907\n66439 68085\n73021 80825\n53055 70311\n68470 72844\n32225 93418\n8085 16296\n91005 97483\n1897 20779\n83008 98271\n31775 64930\n32061 33866\n78313 80779\n39377 54069\n40628 44705\n40343 77445\n14057 38228\n31001 97893\n30453 76338\n21644 77852\n15941 96586\n56323 97224\n4435 6913\n68112 95785\n11505 57840\n34367 71969\n37465 72724\n44463 96090\n63785 88144\n79394 83828\n44339 45771\n8050 81162\n40240 42531\n54908 61132\n40905 91210\n1995 94331\n46209 75255\n23838 37079\n30924 58063\n27604 42628\n63120 71841\n9207 87302\n43560 75171\n712 44498\n64376 80203\n60922 81485\n42329 77071\n5905 12688\n7020 52227\n59798 68910\n6287 26141\n5808 10689\n38719 67799\n21026 95973\n35634 42000\n9876 33110\n6167 56050\n42021 63540\n4647 77349\n3488 81070\n8879 62215\n44944 80272\n38237 59298\n34294 54602\n49299 87495\n32520 50558\n52918 83932\n8771 44008\n23787 72757\n35526 81413\n14172 26668\n22025 96136\n38479 60295\n13624 41889\n28691 44023\n31882 37821\n69100 70023\n2962 14451\n58731 95783\n17656 21176\n17990 61005\n57288 98898\n71051 79481\n12826 36097\n14685 83230\n3424 50011\n56539 62654\n56622 57609\n247 65277\n76013 95190\n45525 77242\n76995 94971\n2564 42716\n20658 94782\n67391 85678\n39564 59131\n30123 43769\n12660 87975\n48529 70564\n22970 68833\n12730 82631\n52283 78720\n52774 96895\n47114 94612\n14807 46935\n2448 89256\n87880 96496\n13305 47279\n27406 51054\n73914 92086\n73797 81208\n4716 11807\n20300 50403\n44784 87047\n9499 48382\n12201 81452\n22616 70496\n1878 83180\n65553 88333\n102 30946\n16121 28644\n616 51094\n39789 47815\n44347 56490\n22103 64034\n2700 71263\n75585 77806\n24612 96714\n25049 45570\n5250 91505\n42515 93750\n2551 33048\n11360 92099\n67953 81544\n83591 90014\n15618 68361\n59261 85443\n66109 73085\n29023 37108\n67794 77399\n65935 70509\n7185 13786\n70506 78174\n31900 94674\n51861 56867\n28763 40492\n8976 93133\n23862 88501\n34593 89711\n6075 15212\n250 4673\n41012 47178\n7597 25848\n57759 93118\n14567 63953\n13779 77950\n53390 92603\n57186 72930\n14180 72751\n26995 81560\n27358 59228\n61479 67612\n30675 47402\n53398 58500\n37274 62227\n1518 24509\n46271 56443\n80538 83348\n97003 99146\n13874 50623\n26091 58089\n11068 88034\n74014 82015\n75228 96257\n25626 81923\n20245 62429\n19890 84630\n34298 59113\n21918 75540\n812 11580\n14035 60934\n1981 8184\n19783 74022\n23151 99685\n7499 57619\n37983 62777\n34536 62007\n75539 94389\n6503 98570\n53068 86225\n47630 68538\n90200 95317\n69458 78296\n51002 84378\n73478 82914\n64949 99396\n4235 39749\n17597 65323\n14453 77495\n40936 85183\n17273 75649\n40057 62597\n31644 77583\n42653 62895\n28481 41439\n45644 75945\n6971 47902\n10501 91215\n14416 37953\n11695 60426\n47351 66612\n16367 72905\n35720 91866\n73757 77549\n23282 29072\n455 76436\n3672 54672\n30295 53192\n20186 95870\n48527 81546\n9997 11196\n29944 63838\n7394 31295\n16015 60901\n7192 20065\n37395 40936\n18480 69570\n10701 67771\n17399 98537\n2301 88191\n72247 99297\n81667 86287\n21843 83284\n66694 77323\n59667 93528\n28841 61786\n39693 41478\n8927 53600\n10897 98235\n67477 69107\n35933 91096\n21009 53922\n58854 88545\n15173 96360\n33764 72112\n1081 10949\n32572 97232\n46519 83285\n11867 32167\n59920 73407\n7698 14869\n59148 68722\n41574 54188\n37101 48817\n9878 38234\n29285 75793\n9150 21188\n67521 79247\n29634 31856\n47542 66281\n12508 27215\n21810 48963\n89117 94886\n21966 47012\n45005 82000\n4248 63877\n42045 65541\n26426 88820\n21066 93779\n40259 96922\n48332 61394\n60932 69480\n16985 91187\n44440 51219\n58929 70530\n7102 87064\n65965 73628\n392 80651\n7203 67167\n21395 85351\n13734 97585\n71840 93100\n67956 89423\n36513 41552\n20480 31670\n49411 93732\n5182 47906\n34484 74191\n41429 88316\n24626 46198\n41641 80141\n39757 88707\n61553 96558\n10914 91493\n11480 23117\n29093 47799\n3539 60825\n61275 90136\n42061 90726\n855 41271\n4774 34223\n21061 42619\n60217 86265\n79981 87202\n53633 97084\n79292 86998\n21117 79345\n30236 46200\n25332 25997\n24594 42821\n44517 88481\n43601 78898\n1597 61266\n6861 47365\n1971 88907\n5251 62398\n54090 60543\n37550 85874\n14414 39873\n54632 73915\n5867 24002\n37938 82925\n31695 42576\n33524 58840\n25020 39494\n58122 66714\n12979 23545\n36139 53470\n42812 73563\n24781 82091\n57325 75619\n14436 41219\n33601 59196\n24350 60093\n6603 24528\n52927 65747\n52504 87654\n20120 63586\n8716 80610\n78529 84053\n28995 81872\n64248 69490\n39917 58914\n48180 87418\n3449 48291\n27595 94174\n19127 65181\n21403 54731\n1067 95221\n27587 95826\n75201 76551\n40193 86817\n37232 45778\n21063 73827\n66590 91054\n10659 26851\n59385 61841\n28048 95162\n55715 72006\n87946 90870\n3438 97388\n19540 36778\n27970 41496\n59819 90873\n55007 87523\n47927 78657\n48149 85578\n28599 78470\n34900 61473\n44073 61508\n41024 66448\n10719 65976\n17606 23174\n15679 88722\n8864 37450\n52245 80657\n36572 60070\n21499 73972\n20115 87922\n30116 62524\n20462 22595\n65991 73412\n59303 98734\n42730 49848\n62628 81115\n11533 58738\n7620 31516\n6078 36352\n24555 63126\n41196 66722\n35640 43117\n65334 72872\n496 73007\n10054 36764\n3804 12090\n54278 77016\n76645 97063\n77513 90678\n12232 14830\n9471 36235\n7140 35182\n15706 97878\n44553 61406\n2698 25449\n33655 55242\n73313 73490\n21687 78561\n9354 65312\n69348 70377\n36002 74280\n32619 71692\n39702 68948\n260 77846\n52381 81361\n76726 87509\n28976 33499\n12247 44310\n19666 29503\n23908 54421\n4950 44927\n28835 59398\n7515 95977\n8714 63328\n35911 77394\n33719 47756\n74714 79421\n33164 36131\n26305 79079\n20025 96838\n16469 54511\n19400 33931\n15458 58931\n12361 69093\n13133 48534\n5576 47619\n11708 38152\n44075 62367\n5062 52910\n12602 24908\n1053 59181\n13694 76618\n36406 82823\n2134 53667\n39254 98570\n3629 76035\n83827 89432\n41775 47089\n25346 66721\n51261 51303\n14786 35322\n81074 81939\n14905 46219\n46079 53795\n35781 85651\n3005 48181\n3151 11004\n72093 97090\n10456 90335\n29368 34920\n6263 65700\n38752 53287\n16588 41059\n5911 80098\n610 28660\n34330 44644\n39820 52335\n5464 62542\n29983 74598\n7122 33321\n15332 44738\n54239 54419\n67857 70500\n56576 58831\n61015 63590\n19471 22752\n8223 74444\n7930 39019\n33952 79763\n11670 99148\n11159 88075\n8386 65188\n29295 42800\n56370 85865\n30772 53467\n16313 93113\n5470 43692\n60648 63640\n2681 76067\n67297 78810\n48714 51297\n8613 40361\n48651 86608\n20070 42538\n38956 93007\n76784 96797\n38484 81360\n59029 70365\n51359 77517\n58131 99293\n10669 24541\n28108 86480\n9325 73222\n60431 75836\n28721 56539\n7326 28018\n16880 24297\n24894 56667\n63237 66484\n19897 69560\n7487 67646\n39909 47841\n33055 90405\n85239 89287\n38815 88518\n31266 34100\n12226 95042\n37615 80110\n11497 91363\n20910 57865\n65899 68354\n5658 70839\n23162 34740\n45482 81700\n81613 82210\n28860 97504\n9382 28673\n70138 75129\n41917 76891\n28729 49103\n20329 53635\n2412 48271\n58611 58986\n48490 67431\n18109 96347\n37954 88882\n31715 77711\n8478 11074\n76924 79550\n783 60954\n60450 84743\n59899 62030\n23499 78044\n93951 97101\n42288 72168\n14159 56909\n6041 69328\n6438 49150\n11569 92772\n39545 92208\n8388 81727\n19616 43341\n47814 80233\n10077 53409\n60570 60839\n5582 94938\n46456 91712\n67437 82519\n12311 33616\n48486 97888\n50560 62873\n17442 74359\n41940 97647\n66462 90079\n85199 88855\n78037 99955\n375 67588\n51680 79503\n60970 89047\n27208 54143\n25216 52837\n63883 79471\n18045 31858\n18304 94263\n59530 65063\n14367 79976\n49257 76077\n35194 89521\n3169 42483\n8341 44559\n52400 66967\n69139 97046\n53835 66999\n67918 70432\n4923 84106\n1117 40057\n9038 29661\n55468 86575\n1989 39832\n52475 69967\n86291 97416\n53614 89815\n42674 54053\n43955 55587\n1628 52191\n51602 80973\n51447 76865\n73348 89196\n11902 91904\n59775 95729\n63417 99604\n63870 85831\n747 26990\n3531 50960\n28275 94230\n68768 99106\n10088 29247\n44313 77208\n51059 98002\n67638 81824\n14096 78930\n30476 81092\n4157 54706\n57045 63572\n2798 92986\n65409 73984\n46672 47204\n38850 53771\n37630 42620\n33213 84001\n28791 45072\n266 85026\n51946 61779\n53104 76269\n33259 90523\n1270 83483\n14405 96035\n6467 90942\n48568 98271\n3482 30688\n15581 49937\n4538 67144\n30037 31179\n41476 46336\n13816 60223\n53336 96360\n25756 82900\n55626 99200\n62133 62922\n42313 62297\n53220 74275\n14996 36313\n58053 77391\n19274 48612\n81490 81793\n47929 81065\n16539 22597\n4072 14445\n17546 30317\n2428 98242\n57951 87782\n15214 18514\n25068 80306\n31430 62007\n59879 71465\n47531 87201\n52979 91032\n35884 38874\n37879 53317\n21122 79667\n14233 70293\n24647 77501\n96816 99225\n19084 36151\n7295 30531\n31524 59823\n32113 60789\n42709 56722\n45409 64211\n12469 75692\n93804 96535\n30651 76921\n19555 31946\n43032 67703\n44045 71026\n12702 33118\n5342 53280\n76493 82612\n70301 71171\n19334 99130\n30883 59135\n22512 64643\n40894 60455\n10 89647\n89664 99457\n83216 94608\n30304 75083\n79408 81597\n235 1659\n62451 96131\n65536 96883\n8223 32217\n32441 68837\n61206 97939\n50856 72832\n2952 79428\n23205 94507\n19811 54494\n29447 62838\n14179 39302\n32893 79900\n38502 55982\n8652 28280\n20213 96460\n25298 51560\n44850 75365\n27349 84981\n12959 53375\n18 15112\n62914 91084\n16620 47625\n28625 69413\n36686 45444\n50876 94228\n28611 61800\n79946 85418\n56199 86003\n22071 69796\n28556 69633\n29798 32625\n52528 58994\n16057 57080\n23322 33554\n26060 67683\n27383 51392\n6429 37563\n41524 55767\n35423 99652\n36377 46756\n15257 67424\n24054 60163\n90003 92943\n18840 37842\n43793 83339\n33454 47450\n44434 81009\n28697 97419\n860 20192\n44621 90990\n12197 75686\n3560 3855\n30242 48377\n63104 93745\n55992 62846\n11855 39158\n12898 54703\n9400 54515\n5926 99667\n72734 75290\n16078 23101\n35583 87673\n21901 94822\n36679 52412\n22849 98674\n42480 45270\n25014 74014\n45161 66719\n25497 48151\n5919 99555\n16896 32678\n34486 96444\n46723 59226\n2044 74638\n12088 53825\n26501 70812\n40446 95147\n61838 92587\n26730 88811\n36700 56261\n16574 39465\n61440 67965\n7579 9950\n1855 71863\n31243 73932\n31018 64086\n14360 63698\n40876 43941\n31632 76238\n64698 71801\n78614 99666\n15095 85974\n43988 82240\n84064 86952\n38376 90458\n28205 84100\n15350 76793\n96531 99873\n18566 69579\n26351 38361\n30386 58655\n52125 89337\n79960 99427\n32423 67283\n17634 95718\n47333 89945\n22218 29624\n11774 59513\n13268 81977\n39175 55580\n1882 59852\n5086 39265\n29935 89623\n17330 95545\n70661 74951\n3116 43450\n30790 33157\n82506 93964\n66684 71917\n11899 28787\n56758 97764\n69894 99397\n43956 51819\n92872 98114\n20434 45969\n8202 88252\n10867 70986\n66749 79950\n72611 78123\n21466 47601\n11213 76359\n21008 45687\n18884 73096\n44083 55702\n758 69687\n8673 10533\n58887 95894\n44020 46115\n6219 22858\n18131 69706\n34295 93808\n23200 88821\n1726 72907\n10464 95595\n52568 62708\n26111 95332\n57680 93188\n81072 91839\n20719 67752\n26137 30493\n39525 96443\n24531 64927\n38300 77075\n15029 25014\n15852 39100\n58855 94042\n64057 68581\n62869 79526\n62699 76204\n12160 25792\n86145 93685\n4776 53702\n36686 77234\n13932 87246\n28019 38185\n55235 61138\n38289 74100\n27317 84329\n30637 33674\n10034 89017\n53988 67211\n73430 95404\n15278 30703\n4165 14306\n53604 66373\n32683 95436\n17435 86071\n46506 73265\n16300 91032\n36430 93478\n20158 91294\n6196 75027\n26930 96971\n5153 35575\n57650 60147\n22862 88997\n17686 89672\n61889 71403\n9822 90332\n26873 46065\n79452 89296\n88 55803\n52702 64701\n48563 62130\n19428 62512\n36690 79699\n78567 97384\n25913 30936\n46500 98102\n9338 21051\n870 55899\n62572 80447\n59350 66658\n137 75831\n47611 59380\n40365 52937\n27496 77797\n50797 71502\n5947 9862\n11669 50783\n16655 48209\n77771 81547\n3693 63269\n7316 32921\n35524 61447\n17520 31228\n9324 76047\n60219 94970\n32890 93993\n39330 72049\n63120 74398\n52818 73971\n36794 38530\n15179 32277\n33662 83264\n50159 98308\n51198 97720\n1155 16584\n58707 98689\n573 54567\n885 81625\n67363 75468\n722 45008\n7227 92375\n48747 85074\n9360 44529\n59132 76882\n54818 72462\n82150 83967\n77353 84923\n5490 60604\n17987 35996\n68442 81518\n33300 41919\n31498 81182\n35860 38655\n9728 63980\n19861 24908\n67802 92361\n13648 52468\n2204 32395\n8094 41306\n11506 16000\n17060 56457\n55519 96632\n8354 23974\n6711 15777\n30199 38640\n38112 53859\n45 16799\n25367 82506\n13625 62730\n16962 25832\n20339 74503\n53176 89348\n68317 98891\n16445 36334\n43547 54645\n24819 94630\n26618 42282\n13408 81773\n16123 62864\n36879 70636\n43627 62343\n3738 97837\n47017 69336\n55448 71032\n19470 61922\n15766 92645\n18033 65319\n42875 66878\n59406 82298\n10520 57732\n50479 57382\n9164 28024\n51882 71705\n47092 79490\n10512 72060\n9167 38579\n38623 81827\n54817 59197\n46802 49683\n3192 98768\n63247 85945\n17559 96046\n5391 15478\n22294 80749\n81489 97716\n31309 66570\n7242 29511\n12060 67535\n75543 92780\n70308 97874\n49679 79310\n18690 35141\n78618 96615\n53714 97942\n43851 88698\n10443 51714\n22252 53417\n10150 71365\n25843 46891\n3652 59704\n58914 74527\n29898 30040\n8782 20739\n58578 92129\n6099 8564\n52629 67674\n28505 88888\n19212 68153\n2888 35393\n15631 65619\n14287 58562\n26989 39903\n44765 57072\n12899 99182\n8580 71576\n25682 64646\n52614 95496\n36631 81651\n2118 94286\n11636 59513\n17115 54118\n24750 77959\n80937 83003\n47431 48922\n66774 73710\n60571 66229\n3588 30884\n53437 83243\n15123 91323\n27763 90920\n8223 31220\n30103 63722\n26870 49110\n4669 47203\n42059 91632\n52176 54089\n21250 98122\n17662 84829\n6038 43356\n12412 94645\n11779 57425\n2836 62174\n45290 73002\n44901 98337\n7457 14755\n65986 91332\n22878 78370\n17020 71169\n61201 97462\n54798 62567\n51886 84600\n14452 31880\n20634 44960\n39847 74718\n33218 77260\n1489 73508\n31502 49405\n26998 70580\n51340 95585\n1462 44694\n72853 99884\n2826 38243\n14252 60065\n49098 79659\n27979 83456\n51802 78609\n18852 71132\n1371 43023\n36014 99373\n18600 77202\n14518 63558\n78878 78962\n36888 48710\n47243 69419\n52839 95328\n37431 54364\n42057 74430\n2027 98995\n40959 52892\n44991 52393\n59328 97669\n54946 65512\n66117 72596\n15893 45928\n11946 14811\n9259 37255\n1522 90509\n32356 63606\n10091 70499\n13819 31581\n49327 64913\n19308 43522\n1294 29393\n11310 78924\n34717 76743\n53616 98680\n36158 60924\n45987 99245\n2574 86527\n92289 99175\n31288 90532\n11694 80838\n11667 37293\n6773 7510\n48476 73803\n18494 59294\n32626 51716\n43982 51534\n16272 26839\n2905 81106\n66591 66619\n27939 64588\n44104 98236\n88944 93078\n24932 94828\n3211 41983\n18302 78909\n62292 69191\n30134 45500\n53271 91414\n3680 88599\n27625 54337\n62757 98215\n54594 65321\n15434 47997\n49994 77613\n46481 88492\n3165 54921\n33419 87053\n20043 54267\n65352 70844\n25037 38079\n59782 86834\n31817 35287\n36500 90787\n48461 74094\n72717 75686\n77430 90750\n30602 45521\n17080 31163\n35724 78974\n7106 7783\n21904 82449\n62507 86215\n7272 54975\n51626 61902\n55074 78386\n6603 97164\n34145 60091\n50425 52862\n65195 76136\n30828 45166\n4761 81136\n43216 83872\n20758 69463\n10753 84055\n52884 66849\n55820 62543\n11478 62242\n5791 25162\n36063 86556\n14346 64779\n56841 68297\n29695 34835\n45215 98469\n16479 32833\n37458 50583\n35132 89376\n52988 83818\n36001 42025\n1053 76303\n68916 85418\n30010 84174\n16259 43459\n8100 10174\n3652 83684\n4270 46208\n55889 91635\n82645 86091\n48268 68460\n1666 11458\n19346 93395\n61388 88419\n53177 82592\n19419 81289\n14523 92958\n2014 44299\n35480 92141\n9771 73274\n11059 91088\n89183 89506\n31059 81906\n63635 82267\n77282 99071\n241 16694\n84089 94398\n42069 79202\n80546 89606\n10827 26974\n12298 63690\n11061 75335\n17468 26374\n44903 72862\n51450 56226\n5249 26542\n16014 28479\n32180 45421\n62250 82445\n6117 80384\n3161 22940\n29137 75997\n10758 84502\n65532 65663\n43764 63061\n5603 95993\n10064 90518\n73072 97309\n57420 92613\n66276 84153\n16336 31054\n11243 85917\n45243 82281\n74406 95474\n4846 27640\n15113 89835\n45374 68973\n78869 82805\n87952 91782\n5164 43189\n8448 76821\n72741 72754\n57186 84552\n41428 67869\n3534 86838\n4794 98919\n16060 41385\n32634 42806\n47206 82004\n10540 62935\n37302 62589\n1792 80803\n22677 78489\n56934 83529\n15360 75277\n60412 64410\n30973 68206\n21231 32199\n37165 41337\n20180 82005\n43483 77072\n1953 35737\n18344 24970\n74980 81337\n74214 80054\n27992 66127\n36954 65869\n40313 62050\n25377 52523\n5912 19663\n26143 84072\n76520 80954\n19441 63152\n57609 79197\n469 64227\n14893 69820\n71157 92605\n32389 85928\n11828 67988\n26658 58324\n19260 62160\n3656 19992\n5743 60817\n86688 95632\n7223 48441\n13760 38076\n51988 94587\n73563 90013\n64527 88235\n24003 30163\n71751 75713\n21522 57722\n72524 89713\n7221 90501\n66835 93448\n15772 46518\n49292 52564\n60357 85433\n21230 59453\n12443 99373\n1036 2386\n19756 22664\n15248 15854\n73684 88445\n63185 87166\n62896 89260\n13022 43148\n59164 89215\n3892 22805\n5839 54310\n65115 81943\n14433 45544\n89135 92532\n44319 86828\n47164 70648\n28067 86763\n55417 94310\n3940 31611\n78563 87539\n4278 25193\n5329 39025\n59540 65617\n60110 89950\n61807 82055\n20029 48847\n21253 60433\n56006 63686\n51775 76641\n8061 46545\n70062 81555\n44363 72139\n50262 77263\n1696 26976\n41375 60665\n11396 91147\n3726 59290\n2466 20371\n32072 93776\n79172 95560\n41513 88060\n12332 96736\n18067 37418\n13438 97522\n53720 59523\n55229 98678\n3036 23238\n48510 67384\n53612 89548\n37394 78541\n24772 36180\n6626 34366\n35607 36195\n42283 49390\n6586 27466\n11831 53658\n27196 98210\n43735 55029\n8616 49906\n28686 50916\n6468 70336\n24131 99379\n18544 96439\n52768 71882\n15321 96619\n2869 65720\n32632 84672\n13220 93447\n35395 62029\n4785 77515\n2821 79099\n21490 63107\n3318 45781\n39688 63672\n4622 99890\n10108 27150\n76209 82723\n18961 65844\n61043 92185\n19110 35731\n34743 74835\n11188 63334\n19506 21621\n76660 98588\n32718 86207\n34186 36714\n12186 40415\n68547 98528\n1554 64471\n21203 65702\n41106 66750\n85925 86261\n51720 98409\n994 17804\n28985 83634\n35608 50591\n3638 32169\n12142 27681\n8291 31034\n74443 98995\n24853 82233\n1067 79637\n41456 64478\n37806 78086\n2383 95527\n36991 91508\n27864 64648\n37577 49649\n90190 95400\n25350 31972\n25684 83823\n59445 73616\n14380 30095\n20397 74020\n31467 89711\n49077 82519\n33202 79582\n50305 89991\n21344 83802\n1604 71716\n42749 88536\n87744 90203\n16343 40116\n10436 19339\n60063 64764\n43370 77334\n57850 58593\n43348 43919\n43550 76686\n64650 75626\n13054 49814\n1732 28565\n20299 99026\n50559 74568\n24008 92954\n8295 38669\n75892 85855\n16128 79958\n5674 70251\n39284 40230\n14094 85379\n11963 26589\n10876 94152\n5598 63883\n86315 96496\n13252 99292\n9726 65148\n37383 81905\n26238 87687\n1892 34366\n51352 56342\n58659 71340\n13336 95774\n17145 27472\n6180 16013\n51388 60977\n27432 27489\n27868 38894\n18323 68486\n11145 24332\n59672 67753\n28489 55036\n27169 86473\n28355 98879\n70766 90340\n43471 88499\n67173 72467\n37894 94838\n43557 56162\n22689 74243\n60809 76870\n19195 31848\n17892 32478\n12380 12631\n31129 62305\n15854 33270\n22161 57854\n59787 95189\n65419 79568\n71115 96423\n11074 49241\n85824 99187\n9433 74633\n21095 89484\n53291 71703\n65047 68101\n4299 5226\n62790 71391\n18059 38148\n28283 39702\n75525 79026\n12691 84665\n66416 74162\n70963 90801\n41192 94036\n48598 53488\n59436 81290\n11624 65738\n2285 27506\n31672 99553\n50734 92413\n8913 57102\n9531 10059\n24627 96781\n59001 90270\n44680 86587\n27907 79143\n41132 51139\n41198 55547\n76645 93794\n32259 75870\n10788 59325\n3448 66297\n14411 21568\n17222 38721\n21583 89621\n13715 88322\n32042 48803\n52307 58752\n10959 36063\n28637 75374\n26020 87354\n24796 25922\n71750 89932\n30381 98371\n51139 93301\n19741 35617\n56300 91409\n22073 40868\n5750 83176\n29046 50326\n5971 99656\n76062 98753\n36054 43038\n11258 80701\n46135 57452\n6877 47350\n14149 90234\n61956 75776\n38493 46943\n7596 68210\n364 4454\n76618 97217\n36712 51214\n17569 46544\n42343 63397\n30098 45369\n17148 27302\n13524 54852\n79009 97586\n62224 72655\n17692 38889\n28016 61146\n25745 72240\n52382 74971\n13280 58006\n2219 77689\n68384 76406\n26265 73765\n18499 35640\n8712 49999\n60391 66606\n18907 38989\n50374 51283\n73229 89394\n49785 58460\n20798 68901\n5249 48795\n48603 73135\n45230 67644\n82737 89608\n14018 32827\n64470 96564\n61506 86585\n69161 73552\n69426 88870\n28052 59862\n9244 14173\n63560 96913\n41575 64965\n23727 57533\n27993 47055\n61200 96852\n87566 96871\n29748 55707\n15274 79808\n32051 78699\n35444 99470\n22230 80871\n70405 79903\n1353 63642\n66572 84360\n5739 51566\n5080 29739\n3105 5558\n43826 61795\n24881 48662\n6158 10234\n31153 72113\n62898 90497\n12126 50360\n63029 69646\n8133 63092\n5729 41648\n61910 73136\n67254 86447\n58428 70862\n15652 99413\n26863 83386\n21701 39788\n30229 66420\n30324 36903\n23073 74605\n57061 89870\n5664 27875\n47057 68176\n20943 59243\n3687 83574\n29230 44021\n21647 47011\n63044 82779\n15974 34164\n49565 81551\n22528 76741\n23831 54657\n55641 90527\n62940 85673\n38328 64103\n9209 66068\n10239 40185\n11683 12888\n61508 74894\n53576 64028\n37354 47636\n63140 99291\n56202 89458\n9566 91164\n52138 93024\n13429 91026\n64362 71477\n29723 33256\n83079 96896\n18168 53341\n55587 74122\n13076 60587\n72552 92791\n30352 74805\n3792 8806\n30140 85859\n67682 88788\n46063 83233\n25951 92711\n5316 49528\n51038 78055\n35251 63825\n14672 85159\n13674 60662\n17231 91911\n14768 36324\n66081 68277\n20328 93328\n3891 83298\n58313 96147\n35856 56572\n25524 79849\n56509 95098\n35954 69475\n7685 60211\n28830 58118\n34922 56988\n6863 60684\n3513 32815\n61993 66457\n57340 73152\n15541 69110\n6585 24447\n22719 40474\n80797 97036\n24724 71984\n22468 42757\n9572 52219\n51600 66690\n23385 74006\n16950 94707\n9109 35350\n12991 47234\n9346 30335\n20547 33829\n84069 96557\n53513 59071\n3905 25077\n35525 75942\n20367 48942\n46643 83579\n87051 98151\n12727 45241\n37012 46221\n76416 78615\n5100 77502\n3172 18097\n9720 94890\n22047 64518\n70058 91973\n71813 82877\n8011 13096\n15774 25194\n8634 93072\n49970 85341\n13141 19353\n46046 89074\n59573 67504\n913 97903\n13798 74210\n7546 20867\n54358 79181\n21620 36487\n15690 52856\n11153 55857\n40135 55305\n2004 12168\n50266 63122\n9252 86761\n5692 87084\n3410 19924\n44613 61944\n69783 93189\n17048 28019\n83112 83382\n13604 68470\n42346 73854\n38147 76536\n44173 48316\n3478 66278\n67389 86612\n2829 96249\n78092 96648\n12904 29378\n37308 87496\n11531 46799\n10754 73501\n39669 99676\n31308 40141\n9206 93658\n729 16735\n37318 44204\n92559 95525\n19138 25495\n35256 37429\n47805 79637\n74855 97284\n69135 93326\n37587 80146\n39493 79209\n19312 33371\n27315 75341\n22987 94424\n12716 61914\n32616 85520\n66558 83778\n30090 56463\n19719 74563\n46224 99061\n18732 43688\n30333 92727\n5487 95339\n18980 46061\n8984 78532\n22804 95300\n52237 92345\n26788 77498\n28188 45419\n6625 93891\n34727 82834\n1960 80364\n12940 25471\n27036 41242\n43332 68210\n1222 90717\n13265 34418\n72144 75784\n64718 81537\n66080 79410\n2896 81553\n15236 42950\n14611 69321\n3069 12051\n29132 85919\n50567 82574\n12857 96425\n18090 68099\n19434 82073\n44003 94308\n27899 54274\n27394 43015\n37424 39850\n4644 77101\n19618 25732\n63525 93165\n74333 76763\n49536 93567\n37316 60433\n87268 92770\n73853 85139\n16346 27977\n1243 38990\n13466 38380\n93876 95934\n7121 88288\n389 30608\n12767 13056\n4859 17274\n36134 59487\n43327 91186\n26255 73487\n11482 34101\n406 70562\n24459 57600\n65435 77587\n45302 80794\n57305 74460\n1526 23892\n13207 93714\n8313 67597\n80223 89849\n40235 87751\n55557 87344\n16726 30408\n36364 76639\n4054 79674\n17099 40843\n71808 93526\n3412 96842\n27724 97650\n17400 42933\n58653 69165\n24268 66617\n59313 83360\n91145 96243\n30440 81113\n17033 41907\n33040 39428\n51181 91875\n37089 77560\n31761 60219\n21627 96691\n49208 54838\n26402 27653\n24510 64761\n45646 55834\n11355 40560\n20330 60842\n50978 59457\n5032 57940\n49029 90743\n10564 98795\n29788 47504\n23885 70210\n34031 79406\n63626 68221\n75431 97397\n48177 93221\n81537 98509\n29824 94777\n1403 81313\n54983 63194\n15545 65754\n13835 56305\n56561 81973\n48121 76351\n8848 63229\n7359 15413\n51725 85581\n2851 92815\n14243 35998\n8364 35390\n4578 90676\n49129 50783\n66926 96042\n15275 55896\n4438 84730\n79875 96575\n54043 60897\n33635 39300\n51990 96017\n70062 88535\n19141 47931\n32524 47673\n73368 93582\n58559 81224\n64580 95504\n61427 65537\n23106 43785\n3784 98032\n61943 68236\n21636 73366\n1089 54135\n12865 74001\n19313 63799\n81231 81351\n28827 75416\n54294 88282\n2365 44194\n51652 79799\n55261 68316\n3216 79691\n8152 63282\n31613 44455\n78292 79678\n24432 77776\n23527 41279\n48827 55474\n41450 63537\n39789 41512\n28958 55826\n76737 89076\n18642 92225\n45419 72817\n64810 84777\n63303 84571\n2192 14695\n14986 35688\n88602 97375\n66368 82281\n39583 64934\n14021 27264\n69614 96477\n87284 91906\n10053 33451\n23460 35035\n17315 74165\n46781 96574\n43783 56732\n32428 49230\n44915 92525\n7117 17605\n26770 48613\n28137 81005\n43751 88626\n4035 39043\n5662 5889\n20663 39367\n72763 82606\n33540 49323\n39501 49310\n34580 67605\n34588 43063\n48119 93105\n62815 70979\n6765 88637\n48303 78552\n11555 22281\n355 39309\n51882 89670\n11780 59473\n77187 94133\n47013 66322\n62082 70873\n28443 99803\n68059 75712\n18252 43427\n29635 56782\n54566 75164\n33540 74602\n39273 56771\n76966 78425\n48839 81187\n52374 70884\n29675 77012\n13370 93764\n17152 30432\n29362 70368\n65710 72456\n66790 87852\n62263 67539\n11569 24142\n19549 52657\n70698 78230\n54236 65317\n35678 37331\n17533 87236\n68704 99584\n69721 70896\n40728 79006\n6402 9499\n86166 95086\n27033 85040\n90618 95003\n14149 29286\n64870 66680\n36509 46578\n31639 43804\n45035 69019\n76538 84992\n6027 51134\n28839 65990\n32832 93244\n49182 50965\n45565 88569\n58773 69457\n55443 76869\n16490 79774\n66811 95494\n89037 94067\n95821 97071\n35889 37999\n14462 84743\n14079 95577\n4417 63124\n46829 92710\n24698 36222\n33221 97619\n32851 71158\n43567 67847\n47285 51629\n53796 66592\n36188 89733\n771 14371\n8482 99724\n18915 81262\n46560 98112\n27897 94610\n14992 72854\n10374 66065\n31378 52278\n41849 81125\n48797 67241\n33540 68845\n2480 21842\n8044 34843\n6664 53034\n41104 99645\n38191 94812\n27818 47464\n27202 47131\n45129 49495\n1097 40175\n4027 96856\n19592 60740\n65164 98934\n31284 69381\n25919 73142\n30057 89254\n50282 58080\n340 93570\n1817 50206\n28648 77734\n32265 71365\n55134 75666\n44489 83400\n27114 78785\n50990 97346\n71417 78514\n23526 68984\n68804 72079\n9951 32759\n48948 76438\n44415 54901\n6588 67549\n55572 98838\n6487 86462\n27601 90685\n12434 90636\n29802 42701\n20252 57943\n42945 97704\n19826 34405\n53898 56341\n74964 86686\n38010 38826\n15683 50693\n53284 56200\n32286 99509\n75661 91233\n63379 94897\n27208 50971\n36203 88033\n22793 29973\n4320 17134\n63539 86914\n82335 92547\n39852 45078\n60585 74000\n33248 98952\n30287 68206\n27284 54192\n58143 69708\n45425 90502\n1670 4880\n9190 64295\n33164 56114\n44842 46319\n2518 53057\n7866 44747\n53315 91709\n4715 39693\n9415 36832\n39711 90187\n32248 59188\n68878 97067\n49311 73192\n49613 78284\n70240 75887\n45304 80979\n6084 31850\n54155 70280\n37793 97690\n62369 76038\n35856 76285\n58406 86939\n4598 51073\n6682 59548\n62712 74077\n1822 19680\n8635 40094\n59378 65108\n57082 94877\n33472 62563\n11198 39509\n27705 61696\n16781 86974\n30743 47150\n39056 59855\n14267 82967\n26037 39960\n14898 62488\n42108 76490\n13345 68736\n2917 56136\n10766 92654\n4466 21892\n31200 73472\n66674 96117\n4383 48120\n4675 74595\n63657 88291\n19098 74167\n81634 88874\n9736 43928\n51921 82772\n35468 42001\n67437 72848\n6416 54060\n56925 82022\n98609 99861\n11712 30662\n46641 78718\n85923 86653\n23132 87448\n23007 88626\n61877 87285\n59136 70950\n2059 26780\n41888 55589\n10525 93043\n78974 86337\n53198 86508\n58623 81947\n2826 52189\n25507 84254\n33327 42050\n2121 10215\n13348 21327\n23296 52641\n29993 65851\n82018 94431\n8352 31004\n34358 77582\n87 94459\n48664 94760\n1466 28781\n41666 84339\n17903 47020\n5245 77764\n22744 51509\n2491 93355\n74606 75283\n5780 64792\n46379 90161\n4154 26926\n13007 99958\n28225 45780\n64158 87845\n9824 53273\n1447 29229\n49557 70488\n36117 97638\n58672 59154\n16815 37598\n59114 67233\n49163 56904\n34246 98494\n8181 51509\n38548 77192\n31216 31246\n43546 52913\n13509 68907\n71577 91895\n37473 57392\n26838 64113\n41031 48535\n38447 95359\n84282 87585\n69108 75893\n22936 48705\n67435 96412\n48479 61931\n55832 74619\n8414 41593\n64283 91916\n43528 67331\n38225 99269\n24071 37069\n62552 65726\n13991 65153\n14478 24798\n84506 85201\n31059 48062\n71084 74686\n3487 41043\n90606 98290\n3668 53720\n38427 61166\n16127 20625\n31007 87642\n12511 35382\n24414 38221\n6285 56281\n54358 99202\n15833 44688\n25192 58161\n55439 72736\n73757 95615\n35297 73105\n31607 61348\n62945 93551\n59279 71207\n69524 84740\n16564 19482\n26309 75113\n33045 82154\n62737 83050\n73396 99518\n17194 76676\n3723 89191\n11112 93899\n60965 79828\n74692 83274\n67633 93711\n33380 80463\n10285 44928\n78082 95484\n37155 63997\n8832 43419\n77195 94541\n53832 71217\n5899 46806\n8633 21302\n25711 87429\n51767 77949\n14909 25880\n60851 94768\n3644 96168\n45632 98381\n7687 43000\n16594 62050\n13839 81475\n1662 33847\n31723 48787\n19267 39298\n73884 77277\n35121 62461\n39884 60958\n35720 66859\n74577 95364\n78829 86797\n10915 99121\n20487 45280\n22823 53351\n23268 99379\n24144 74310\n55090 67150\n51721 77287\n60402 65270\n13454 78350\n40636 49634\n8202 35166\n48483 85019\n61378 68454\n19480 29361\n9207 86468\n27802 48351\n50001 62094\n67185 95355\n6679 77426\n74794 87967\n58915 72434\n9353 29310\n27323 34067\n3854 59077\n38938 55706\n49409 55525\n8524 39147\n3908 54487\n15256 19382\n41399 78654\n52437 79657\n19001 81121\n940 1113\n55668 93243\n13990 39740\n55276 78842\n47762 75127\n32494 87576\n76799 87935\n7629 43607\n42637 87732\n47369 54305\n33268 99278\n3891 41643\n24970 77943\n47801 71459\n35667 82051\n5756 74264\n1380 17514\n18557 22030\n37146 74272\n77418 78326\n5826 11658\n13004 24836\n13042 25086\n12580 41385\n32318 98225\n25186 85271\n14188 44370\n50083 92533\n6523 52310\n52054 72525\n59406 60872\n3121 85423\n11814 15403\n14519 52732\n2078 12353\n57121 73929\n32183 95967\n62373 83557\n12215 87077\n1553 84270\n1415 11874\n39167 78969\n69337 86570\n23359 58252\n22060 33581\n68134 77460\n21279 86371\n9868 39210\n30553 85757\n3641 82120\n56695 63364\n11544 68398\n10113 72334\n49688 55436\n33279 71558\n57941 61418\n63340 94349\n24118 70019\n40087 94146\n73512 84827\n56513 58367\n3826 16350\n47872 71605\n20246 59390\n6245 18822\n14215 89880\n51310 65839\n44621 99223\n16067 64317\n27791 38974\n19835 26616\n22973 61233\n27037 41069\n24120 50783\n20464 78850\n9091 60228\n40784 80501\n29613 44705\n95977 99765\n14148 74520\n30199 87913\n3251 96552\n28806 49733\n47497 86249\n16345 25286\n16121 72352\n6806 10959\n81226 96319\n16877 36911\n51805 73381\n12294 58852\n21797 98896\n70822 73991\n2908 98244\n66482 86004\n25116 34045\n19669 44779\n56330 87277\n25708 55830\n43052 99553\n4478 94186\n51445 64296\n37542 54852\n43755 85343\n30976 95339\n1905 69080\n43117 63553\n41105 56554\n86818 93922\n52586 82949\n39155 95648\n67522 90963\n30908 69640\n21747 24627\n17099 53299\n243 5337\n11791 34553\n30531 32737\n48113 74014\n10691 19728\n10557 98002\n71226 81794\n31861 43337\n92059 95850\n46587 97082\n72499 94463\n35161 62689\n66939 77187\n29447 41701\n44773 98230\n29534 62140\n23010 80533\n81306 96728\n48519 52675\n18081 38815\n25013 74017\n20549 39654\n12230 79350\n37604 77981\n8878 17946\n3830 37230\n83231 95779\n79529 97349\n43494 59200\n54470 73604\n72362 86032\n4942 79788\n38850 99518\n68724 95554\n47193 59446\n50447 77928\n15762 69161\n5329 37259\n27853 98417\n80492 83411\n34855 89819\n33100 56264\n32175 57392\n87015 87771\n31991 88932\n86285 86794\n31185 72975\n57717 61688\n37695 59511\n6176 20980\n29773 52054\n20076 21135\n60319 81607\n10001 51364\n25168 49416\n12657 35885\n10311 24257\n48608 55924\n80898 89551\n31013 53559\n35261 63815\n8793 73412\n24475 64112\n5450 36810\n61415 84071\n20346 20707\n52489 87479\n36011 79265\n79404 92739\n490 70994\n17652 62213\n74304 82893\n4752 49024\n10597 39518\n18084 30465\n5122 84910\n70569 89214\n13792 23713\n25829 66970\n61382 88041\n27664 95431\n28662 98682\n20315 64731\n75227 89060\n7905 36259\n39207 65615\n52816 88173\n29477 44367\n11996 88211\n73987 83568\n46120 55330\n8687 75898\n18321 47831\n23822 70995\n27472 96885\n47942 60425\n58985 76493\n32401 59016\n15221 38413\n48921 81233\n5535 30700\n47230 84094\n3096 57413\n70588 98932\n27925 73761\n49631 72807\n12071 54887\n6361 65764\n53439 73380\n50336 95645\n56714 95512\n25690 62898\n26552 69635\n18011 58598\n23978 36357\n36402 66752\n31765 94952\n39123 62795\n65703 96756\n2991 34758\n5241 13555\n17233 45005\n11145 24911\n72060 73072\n60697 81381\n56563 70432\n21395 29664\n3243 71911\n3780 93214\n48888 56997\n87503 91540\n1224 68347\n23508 79369\n57928 58927\n41794 53213\n35284 70659\n12811 79041\n39468 57080\n32220 88337\n15869 68747\n33328 44578\n20155 83596\n53914 98298\n72178 83700\n52180 74109\n7093 18486\n43828 55589\n41678 83606\n25687 57952\n42573 42708\n15175 16019\n22786 61998\n83036 96710\n58624 82295\n8849 21105\n27911 90775\n45350 84042\n52421 78408\n43018 86652\n62665 93855\n46567 51706\n64697 82371\n66847 76216\n41573 71713\n61974 71680\n18161 84062\n67862 83664\n71734 75876\n58921 85498\n9589 62634\n10447 27001\n54068 68551\n40219 81322\n73453 84347\n532 94756\n60357 72298\n24995 53796\n47621 69044\n2219 32149\n29716 30876\n61009 63267\n52226 71665\n477 21854\n67192 72369\n382 84901\n30499 51290\n15436 68565\n23538 82434\n1234 81483\n12132 15612\n59702 97305\n6382 92002\n88676 94857\n71976 88202\n54718 63511\n1246 35211\n4875 37515\n2385 72513\n33577 82239\n44099 75599\n92802 94148\n29950 64284\n22588 33807\n13981 77648\n20704 43621\n35246 93480\n3376 75379\n53317 54614\n51013 70017\n21005 80091\n23371 44198\n90780 91446\n40225 75851\n13559 31188\n44145 57611\n2309 50319\n32960 39621\n26604 79158\n5127 95795\n13611 70687\n21772 68110\n66005 91837\n71777 88458\n32502 70718\n47579 73513\n57216 87201\n64349 73739\n28537 76329\n25261 96935\n33358 33412\n52068 84695\n63797 99051\n19500 65138\n57564 61395\n9506 74792\n474 95622\n42695 83731\n689 91710\n43647 80549\n6393 9482\n35154 76903\n4909 70226\n16755 74142\n52794 83352\n12976 64467\n77572 85303\n59003 98694\n54802 62784\n15872 88280\n13184 69654\n25414 57687\n1836 9926\n32242 73140\n26990 77880\n54681 77283\n51778 90859\n24307 46276\n11003 21854\n25646 42926\n45131 76427\n36904 42109\n79110 92778\n60677 77182\n27736 28061\n58009 62750\n18844 92701\n61881 63323\n53285 58522\n34570 70725\n33029 79687\n42430 78884\n16125 70523\n23220 89271\n18203 29445\n57002 59045\n3061 36722\n41311 72510\n21221 52650\n46567 63834\n60878 79137\n3518 72766\n32756 44335\n16975 59616\n25783 45457\n31965 40358\n28783 87364\n28231 50833\n52999 67318\n14163 37596\n27255 72589\n48309 74183\n88425 99570\n65672 78557\n14162 44455\n88511 88851\n26633 72094\n8544 78006\n11113 17531\n36280 91250\n22776 37400\n19687 59272\n12686 44195\n20875 30766\n31163 83455\n27298 98820\n2621 45691\n75383 86854\n13118 70208\n26465 64742\n96603 98383\n33020 64416\n20701 66233\n15697 90104\n77005 93394\n48868 86431\n95352 99391\n60626 87394\n14155 55322\n10228 67560\n17790 56182\n2938 79912\n18706 97987\n36223 76334\n40587 63197\n16845 64282\n53297 90370\n45594 79586\n18340 76264\n63344 82616\n32552 51467\n47749 60668\n42039 98413\n29049 30563\n69670 81884\n11641 99113\n11649 16217\n79361 82977\n40226 69375\n11525 53048\n9042 12727\n28897 75779\n64139 81479\n6970 59856\n8694 78291\n41161 51779\n31527 71876\n9593 78939\n32459 61380\n19153 46213\n49261 72943\n12717 49907\n8598 48268\n47895 82570\n22143 74588\n30947 69958\n10410 27261\n30910 54445\n666 72836\n3001 92999\n15142 41611\n55879 98701\n58461 74039\n22724 73409\n21377 90524\n88755 98394\n24008 80956\n2728 50653\n92341 98509\n79669 94524\n34170 36251\n72338 73006\n27419 70309\n22655 82234\n29864 41665\n13933 54883\n1709 96339\n28820 51697\n34240 38404\n23530 96445\n72617 91261\n71561 89871\n31353 46875\n42487 43182\n30843 92729\n37552 59783\n33132 59676\n17453 29031\n46910 75278\n18652 62403\n26158 31642\n22148 81350\n82781 89287\n55673 77030\n68058 83519\n50243 84618\n43905 55580\n34597 91143\n44710 48309\n33574 56741\n7155 16191\n43133 51630\n54139 78949\n941 83618\n27034 54272\n48575 62329\n57375 82659\n59450 75203\n22696 98141\n63317 79862\n33443 49437\n21614 73088\n48846 54453\n22560 39715\n42420 56385\n18101 30989\n7820 50266\n30636 65798\n53280 89701\n61093 92096\n30273 80498\n37978 86228\n64198 66109\n74905 86189\n16313 68403\n89652 90802\n59927 61661\n46154 49819\n10943 69795\n2376 64604\n10404 73496\n43014 49213\n68847 98120\n749 60241\n14262 41290\n14155 97239\n30716 85407\n6001 52454\n22952 31360\n66860 98162\n47116 50399\n56623 76560\n75302 91400\n49270 84132\n63002 76456\n4805 97254\n35238 87094\n2508 45129\n73341 89879\n60072 98332\n28014 67937\n59337 91364\n28783 95144\n11719 71565\n39528 81719\n2808 33591\n66982 98417\n34560 48836\n8248 95904\n5425 40451\n28730 97894\n44148 70696\n32630 65401\n45398 71792\n36846 79466\n35238 61939\n42100 52641\n13295 90777\n742 13496\n32375 55276\n57092 61334\n14981 85527\n7260 46139\n34774 82428\n382 27885\n16763 68666\n47948 61089\n59989 69260\n59793 67904\n17521 49084\n13087 60422\n68614 98991\n10642 34931\n59194 89842\n50168 60147\n16804 43067\n22686 58952\n39689 54866\n5682 88812\n3949 45751\n65827 72301\n9399 97575\n3451 67952\n59656 82487\n81052 94370\n9778 94307\n18656 94459\n38937 85567\n67414 79425\n44318 76378\n17848 93157\n68277 85948\n11423 67917\n10517 86388\n68388 85382\n49584 81306\n40766 88583\n37015 92733\n10043 65171\n1634 52452\n42061 88972\n8917 69502\n64401 88869\n50067 86469\n69343 85566\n13091 72899\n60762 73547\n40796 82507\n13326 38846\n14555 15502\n31411 37675\n603 71887\n59046 71077\n20889 63605\n20995 51296\n44017 54795\n67975 76300\n49408 99600\n40549 77994\n43014 82975\n29581 79914\n33891 78657\n66319 81294\n18045 86279\n11516 69711\n2941 38684\n52343 61752\n27609 42776\n47136 59207\n1732 62052\n5406 61889\n5326 41823\n34665 87104\n95406 96163\n58842 80989\n9485 81865\n78630 97709\n67395 79835\n24979 29838\n30968 93375\n28765 97901\n63759 94152\n11144 98905\n28341 97589\n24763 83957\n38503 84178\n9149 23438\n48436 82780\n10317 60846\n40611 69525\n55708 98495\n28506 31138\n74206 79986\n15201 60320\n49987 91659\n51642 56636\n42901 88225\n55134 81320\n47176 88924\n85571 99388\n78672 88176\n15664 99563\n30523 84645\n56055 68854\n15052 90170\n5872 39313\n23577 77427\n89410 93512\n54164 89283\n18512 26525\n27038 70097\n63346 99667\n16624 18201\n55948 65115\n45278 68806\n70348 70895\n5304 34436\n1112 64675\n37166 71666\n56135 70961\n20772 74144\n74 59993\n46248 63858\n35120 36136\n15783 23294\n71671 93266\n4538 94774\n31631 61175\n79989 99294\n27373 79667\n12083 29094\n40426 55297\n23129 97917\n5970 19114\n32341 97131\n1238 86727\n59303 83685\n38817 41980\n5493 26530\n41118 47606\n60757 94631\n54438 66321\n21237 96409\n28181 74098\n25480 74130\n50607 73049\n5654 91402\n15762 71779\n57206 74035\n73884 78785\n59778 77580\n5780 73618\n6213 29657\n23351 93125\n56321 60394\n37945 77960\n55427 67231\n212 73669\n9796 68596\n27249 87464\n8913 73106\n30657 64417\n73010 82102\n17619 90667\n33180 71895\n34812 45323\n37274 59832\n7400 42555\n19095 62463\n39620 45619\n20731 97904\n28864 89478\n3212 45433\n41064 65063\n16333 51987\n9600 35228\n43987 47308\n74037 85060\n1481 26280\n7789 15889\n48455 55533\n35737 64330\n74341 81370\n24664 32402\n45755 65407\n11343 32668\n24521 72239\n70930 98034\n8802 88578\n15603 58596\n15872 67583\n43947 69730\n54320 76538\n27104 28825\n26415 45163\n61200 78133\n9578 64177\n84144 90273\n34603 64888\n80669 92789\n40544 76684\n15992 63678\n27519 51006\n8774 35833\n33009 97898\n22742 84890\n44109 49960\n6800 62666\n16857 81937\n39470 50727\n77024 89761\n20404 58566\n6941 94054\n1982 97967\n16699 65766\n14801 52950\n59880 88881\n25015 49772\n64460 99991\n10128 20256\n2127 80653\n61795 93334\n35431 35726\n40032 46809\n29078 57884\n5174 66601\n18597 62442\n63434 77940\n41585 62077\n15199 17914\n57951 95854\n22513 36295\n23626 43765\n12355 51203\n313 33620\n52012 92955\n33448 92015\n9739 68807\n47269 83986\n5837 61974\n30619 46381\n68357 69226\n59580 63740\n29110 90629\n6779 21176\n51105 92165\n67491 72965\n8971 40248\n65961 75122\n52184 88904\n63758 74231\n58131 61370\n5991 96494\n40864 61390\n18733 24754\n65958 96346\n47055 74001\n25225 49358\n73513 89448\n55498 79730\n66110 98051\n45592 93219\n66215 80599\n16621 70279\n54923 84025\n7092 52391\n76434 90770\n22077 23764\n25126 69840\n69024 76201\n34845 56681\n42548 65755\n46662 61163\n15097 68768\n21436 74336\n29742 53552\n15981 29707\n2543 66063\n60306 69454\n25834 92796\n9608 53388\n78127 98776\n68826 99598\n22895 93807\n27911 97087\n19296 73738\n28715 51223\n10424 72931\n42571 62734\n72673 82967\n19029 86676\n13332 40156\n84203 86310\n36847 56373\n16016 67042\n16145 16762\n8274 21812\n1999 31455\n63844 83233\n53726 66215\n25910 65161\n5585 60976\n16521 28043\n11919 25100\n24716 70259\n4334 54110\n4839 31810\n44185 82380\n24262 72011\n60745 96511\n22968 85176\n16447 86953\n59338 96330\n72779 93276\n49350 95368\n10339 81149\n12081 88705\n72196 80591\n25684 94373\n38059 85412\n62322 79654\n33413 72604\n3152 22707\n55224 71798\n7721 58334\n35672 41180\n56543 65423\n28389 78038\n29097 76830\n27141 41028\n46935 85360\n989 2760\n57831 62000\n59632 83766\n2831 56239\n27215 73322\n39610 41422\n41088 96203\n11001 53829\n2973 15448\n10103 56511\n43305 44104\n17086 71528\n40731 42314\n40951 41212\n40649 78793\n36316 36423\n64993 90562\n71648 97418\n19032 66216\n71714 88992\n57431 73904\n45703 56157\n713 34467\n35482 76274\n503 67001\n23489 24519\n25372 55560\n1048 71725\n15573 25784\n31430 80431\n2780 49808\n18252 32720\n54353 71333\n7146 89933\n6653 84811\n26938 29870\n12691 22999\n34191 41463\n37384 44723\n13196 82620\n37181 84805\n59300 97867\n28829 61761\n33057 77648\n19904 52311\n17627 65178\n19709 56856\n34419 52690\n17593 39609\n41412 82391\n50214 57507\n15257 24510\n30015 86737\n17558 71745\n55692 79565\n31434 53868\n21107 67244\n50743 87722\n37177 63713\n48600 73695\n1948 23624\n70888 80408\n13769 42563\n1686 87920\n45328 82668\n58343 61319\n45791 80759\n2380 23176\n8447 30218\n61248 94157\n21473 39296\n40634 88125\n8835 78916\n3784 95962\n96676 99867\n91479 91909\n17778 90359\n35214 65803\n8249 40663\n54347 97315\n81277 95398\n53471 76762\n10075 66027\n36014 90895\n25619 85379\n27848 67564\n3017 95658\n28510 71762\n12945 33719\n70359 99556\n19207 69342\n3733 36764\n3705 79242\n38353 38907\n37718 63019\n25084 76107\n17575 96373\n50821 88212\n47389 69430\n3209 26898\n50659 59346\n17571 25722\n62806 83608\n78265 80626\n28761 83525\n83192 94926\n67909 77524\n65521 98178\n26090 49888\n48985 93700\n24754 74587\n9927 91387\n58657 83965\n50591 64020\n22871 27597\n7667 80900\n19858 98174\n20613 55072\n72296 86402\n67062 77595\n21666 83854\n41994 88261\n67711 85962\n18319 64616\n56370 69409\n35129 89435\n28475 54798\n69485 78539\n14612 69516\n33493 71642\n1058 49741\n10472 49870\n15333 74717\n25855 79425\n62250 69158\n85099 92304\n58378 97245\n45195 96276\n58259 98200\n79301 91071\n31818 63622\n61515 77385\n6167 32736\n36250 95953\n7282 56927\n62381 92619\n64311 76390\n16190 87762\n6873 45087\n48483 74994\n54714 57410\n32194 62107\n64363 65660\n15244 59460\n49832 56887\n16745 36688\n7637 62935\n46434 63189\n11827 31050\n3907 92272\n36019 47403\n14779 82611\n2927 84916\n8047 49340\n9775 34661\n69630 99598\n47698 51852\n52812 96513\n52289 75211\n12706 54745\n56963 88992\n18943 47918\n49806 92245\n40171 55520\n72432 95602\n72208 96686\n56215 61845\n30119 98028\n4754 6056\n19525 50571\n47399 72298\n21812 28129\n338 92007\n17703 26111\n32910 54308\n22491 79276\n10647 84808\n24069 24905\n66693 67635\n6798 47600\n63041 96869\n27151 90705\n19067 87417\n15028 92232\n30323 76675\n37715 45473\n60791 77570\n15032 35456\n20489 28665\n71310 78205\n1291 99126\n35653 84848\n18064 69277\n14893 71426\n32300 85787\n18380 94153\n14833 35582\n68961 73050\n3267 60651\n4366 73542\n91368 97720\n30698 42339\n55161 91987\n62938 76096\n14659 96129\n62874 73393\n23106 46452\n32173 91462\n6314 37926\n562 30340\n52223 95468\n36456 71729\n47235 56584\n28047 71028\n53629 88259\n72729 88285\n77413 78354\n16316 57537\n45551 69695\n59404 59817\n25518 68904\n36984 89360\n16143 99557\n6312 41067\n50870 53088\n73617 81388\n11284 38378\n28623 34143\n1221 2717\n3654 71621\n65034 96009\n52432 63078\n39746 60855\n11835 34737\n26233 73790\n40890 95035\n22131 78903\n2255 72791\n15674 58675\n23583 74242\n5877 95862\n32295 47283\n20367 70106\n1220 26311\n770 67579\n70168 88359\n47489 79181\n59876 87666\n60384 73429\n32868 83127\n30855 34412\n41242 59436\n67984 84109\n5639 59619\n12544 65148\n61263 88876\n39513 84098\n23281 74681\n42465 70729\n7756 71650\n3863 50543\n54862 85803\n35036 85476\n40586 68136\n18615 77458\n19201 69859\n4687 60846\n20936 72095\n36985 98639\n45001 57942\n61349 97367\n35097 75635\n74082 95270\n61555 65856\n30114 71370\n36359 48995\n15017 32172\n25534 28580\n90902 98424\n3049 54907\n10772 72470\n9718 39584\n17562 43366\n43750 53866\n26467 27872\n18225 78766\n8948 32464\n26887 64123\n8092 50003\n20319 83190\n12126 16615\n6649 31202\n87409 95331\n70657 99819\n71640 79695\n29712 35151\n49130 63767\n10897 93261\n24053 61459\n763 4524\n29947 96945\n33205 55425\n18054 89252\n72904 92593\n72811 91302\n72851 97813\n40527 52258\n5517 53574\n19008 34950\n45093 83157\n14655 24238\n93453 95051\n3327 17135\n9982 85713\n24803 68909\n25910 33323\n72372 74408\n17357 80964\n28148 99471\n17226 50124\n78382 89731\n22749 79355\n70205 76125\n25663 43362\n73063 75418\n27184 74588\n19499 55839\n34113 34229\n57721 79535\n17373 66299\n10130 64035\n38282 48723\n32149 83033\n65809 90131\n32055 82840\n16192 22114\n53580 90742\n410 69729\n26800 36868\n31813 85567\n54732 72005\n36177 61714\n53776 84354\n15491 67478\n79727 83271\n12019 55436\n42113 87209\n38980 88064\n13877 44614\n5452 56499\n60153 66322\n64516 72737\n15239 45348\n1196 93906\n11881 75571\n25227 36180\n38761 77457\n49013 87236\n36308 96044\n12226 99304\n56699 72055\n44980 45839\n93436 94030\n56354 84871\n9841 74838\n27933 41523\n13633 18132\n30204 36339\n20377 45681\n1448 69859\n63778 95960\n13054 23702\n4391 41488\n49286 97853\n2453 6091\n58869 66780\n17956 22597\n44115 96927\n54995 64743\n469 37372\n796 36394\n8252 39058\n52220 99436\n2742 31602\n11327 90184\n21381 88619\n76403 83300\n6109 29456\n23388 81487\n44012 80162\n25633 55194\n8824 40034\n39426 71925\n45017 45168\n36617 43772\n10256 67036\n37691 71440\n23577 61520\n27090 62986\n56832 93321\n3428 58469\n46272 88011\n73790 92674\n3612 64097\n5581 96983\n67331 77887\n5458 80739\n35889 59141\n13421 94985\n43720 97477\n42123 68125\n5084 17217\n58930 89273\n61449 90968\n19495 90465\n28764 43911\n51629 78736\n43495 62284\n51173 92602\n206 25454\n16111 22935\n20513 93996\n35230 96797\n56250 66916\n12668 69063\n80458 83867\n31251 72666\n61039 99740\n36835 46959\n29887 63325\n11476 79212\n51123 76691\n31739 60107\n27824 59152\n96166 98016\n25520 41651\n14359 64564\n2206 76741\n7615 42563\n10743 43349\n66775 67565\n136 93147\n6702 70619\n29285 67453\n11414 14860\n36744 56903\n8032 29527\n27445 34935\n63090 94761\n3798 78462\n14621 92374\n69151 87574\n87696 94771\n3177 11270\n21136 52529\n30215 35370\n97950 98528\n25230 61962\n31760 95931\n66557 90111\n24354 50288\n15669 85378\n75407 78085\n22990 41762\n310 34055\n65703 73211\n5986 8299\n40297 43264\n21760 35512\n72825 84566\n21595 35206\n3953 63866\n8697 78262\n4964 45127\n20020 85608\n1190 82691\n9074 98748\n5413 12214\n3812 74897\n33789 74718\n51631 99168\n41239 97462\n79042 85565\n68632 90412\n50892 58378\n5603 31108\n21558 30498\n32483 62510\n2367 81306\n29934 38881\n11866 37936\n38612 57728\n25931 99333\n71300 92076\n17119 61161\n2628 7357\n14602 28617\n35246 38649\n29182 91147\n19523 23089\n43723 76034\n70282 74365\n8618 21005\n52148 56180\n9336 61633\n5625 76485\n17755 45102\n12055 36574\n47969 83172\n31580 45222\n42440 82503\n8083 83867\n24303 59865\n4722 7182\n49304 53865\n82180 85365\n23539 51389\n7003 8773\n31105 42880\n72097 77124\n35298 47200\n7424 41267\n35315 36440\n48390 49057\n13345 32891\n4915 60073\n36683 74093\n39502 45578\n1950 52872\n53687 85637\n70448 93436\n47695 93285\n3916 72731\n64676 78312\n39559 41734\n581 78320\n40465 46490\n67836 71370\n9601 91609\n1883 2758\n60382 76658\n25812 62749\n7064 95988\n59593 73282\n25372 27747\n38244 84434\n46203 73408\n58980 95722\n37909 96328\n20270 84441\n4378 19879\n26400 30806\n3847 64988\n13663 17512\n60790 62342\n28123 87090\n3702 66334\n51746 70124\n53556 89594\n48561 71874\n45764 46466\n1801 17203\n45147 99020\n12517 48572\n45154 93006\n40635 83286\n45234 85337\n13862 26871\n34020 51754\n19400 64375\n11897 36223\n32612 86204\n29008 62528\n6243 43244\n22825 28963\n40918 91902\n12845 24748\n54265 99893\n79536 91394\n951 65438\n9090 27229\n19478 63564\n69187 73059\n8866 18536\n20429 33786\n3436 90777\n47644 63280\n3517 52951\n24951 30678\n35385 67843\n56443 57523\n20008 59310\n16800 44004\n28357 86494\n10696 34531\n1971 33250\n44285 53243\n43606 97089\n25000 63704\n41299 94435\n4729 77909\n21427 80136\n48984 57995\n28723 63055\n19401 25943\n55492 67856\n18654 52209\n10311 36779\n29783 68381\n46579 67123\n67403 73589\n31016 74081\n26799 30817\n16284 75839\n7961 55496\n11286 92708\n63907 83730\n20884 56186\n17281 31086\n31963 92648\n19739 69885\n43957 93410\n6111 93490\n399 90406\n7979 48996\n12968 50700\n41503 87257\n50879 68536\n87060 88551\n26357 77437\n521 39613\n25975 67852\n5772 12593\n24963 30623\n501 1030\n21013 37962\n47997 79458\n4603 19484\n45470 47170\n3821 44101\n69489 70554\n953 73989\n53911 96045\n69667 80899\n47662 62895\n50391 98280\n8744 87546\n58760 87013\n60209 74153\n19510 67866\n6401 30366\n37111 61268\n36243 63626\n24996 85237\n11105 66973\n2557 57924\n6296 76649\n30322 96373\n35620 59483\n5073 67635\n25124 37103\n22969 49523\n31579 92805\n49038 52998\n44773 71501\n58547 96487\n35099 87320\n57113 61018\n7434 52319\n57855 63740\n39273 49844\n51437 76808\n55204 77195\n49245 97167\n39252 62176\n500 73356\n14409 46622\n16695 68425\n67192 97144\n76270 95615\n84618 87199\n67155 78105\n14857 25154\n47655 85406\n3404 81351\n4292 25929\n6908 97321\n63118 73749\n21216 44958\n76454 81998\n71751 84193\n33603 65683\n54539 78842\n45177 81895\n49997 56359\n59877 67190\n38914 69712\n23612 45344\n42047 87754\n60586 72251\n57593 75175\n24439 44550\n14928 28170\n18486 98552\n65611 80325\n8923 66422\n40712 47200\n4932 92347\n26254 30960\n13789 60189\n44191 97316\n38685 73235\n15891 93707\n24103 34453\n21289 57852\n46596 89910\n14429 79359\n24191 70367\n7519 44787\n27897 59877\n16667 75483\n9219 79212\n37603 64854\n68849 92380\n51990 67848\n22508 23473\n11102 19974\n9439 13598\n35779 39681\n30275 51653\n25427 38532\n31142 99026\n19573 97593\n13821 71194\n36486 52267\n6598 21011\n24145 41509\n28088 90927\n9272 54645\n23644 44779\n44882 84725\n40469 48488\n44021 52342\n41314 75070\n14923 97310\n66039 75578\n316 97021\n16649 70207\n47423 97583\n59485 67938\n18036 93517\n26418 82369\n35079 74814\n31090 93725\n14142 62083\n18828 64530\n19374 46479\n41723 61423\n30512 80427\n10459 40411\n14749 49717\n17960 99273\n2378 47043\n33153 63327\n63560 97747\n54956 57192\n61095 68772\n73833 88883\n963 6841\n37261 71136\n37162 97689\n3990 64162\n19010 39843\n5233 90223\n1285 80850\n32452 91975\n65001 76266\n6782 23553\n54694 81246\n30697 56219\n15768 96750\n28624 34608\n23756 37646\n1947 33423\n21234 97944\n38349 91517\n12741 80007\n88231 95170\n60174 95935\n57522 58225\n12031 25703\n17827 20490\n84456 92777\n54174 56930\n20057 56079\n23907 71299\n11850 89025\n32813 94959\n14323 79763\n72089 81603\n72090 84253\n28853 57587\n370 29767\n27530 84666\n38 25693\n17731 50400\n17267 21189\n28858 46206\n4939 55794\n4806 88942\n59607 81118\n17787 50867\n34161 78025\n32521 43314\n61629 96393\n81328 96694\n50043 78918\n422 84908\n53258 77064\n15613 35361\n52698 89513\n38909 94325\n24641 89771\n41752 74493\n4777 46638\n579 8967\n45899 71715\n29587 32267\n60299 75599\n15461 78327\n444 795\n54692 84264\n15858 57547\n37036 94740\n40351 80744\n39862 92353\n54382 98316\n22816 55985\n45297 53406\n27689 73642\n25211 73141\n59711 73142\n11519 46955\n83509 88521\n52463 58044\n81598 93353\n55815 77815\n7986 28010\n204 51181\n20933 44081\n48633 75208\n1718 52103\n56594 96549\n27008 45787\n68444 78248\n44960 90455\n28051 80645\n22808 92199\n97704 98846\n71533 81010\n19055 77109\n6780 10889\n35597 69466\n44935 89709\n11964 31481\n91823 92383\n20796 92660\n8910 74136\n10302 46337\n30976 62370\n70186 78938\n41791 43784\n95685 97507\n31947 56233\n37448 63845\n37474 41464\n5591 47259\n23207 81764\n38680 73390\n32262 60951\n75118 87800\n9404 87460\n15980 23642\n10946 55793\n16333 99741\n21434 58377\n40441 73927\n90102 96282\n21105 39965\n7694 73376\n10977 97966\n17402 38087\n10081 32278\n7118 50749\n59115 88698\n7695 17416\n65877 68624\n6297 93533\n59346 60990\n57201 72142\n42031 91520\n57187 78739\n22760 25662\n46178 52325\n20334 43502\n40032 77301\n48752 68855\n38718 56391\n48980 89039\n50419 86407\n1577 64659\n18225 28149\n24826 93955\n7856 88872\n85485 90623\n15874 19049\n73249 89964\n6453 39126\n18130 79508\n30287 53245\n26674 68066\n68728 89898\n39079 75820\n30287 84789\n15271 50611\n60423 70265\n3041 50693\n47616 80006\n31436 75681\n8133 70927\n22570 30559\n1427 90999\n74651 91292\n8339 73426\n64278 65449\n54238 88230\n18786 25566\n49552 62692\n33930 73656\n45630 88642\n56515 87348\n5235 41203\n30855 94321\n14475 57002\n62791 95960\n71199 96815\n12707 23295\n11560 56743\n6421 43506\n40115 79858\n32022 86263\n19781 32145\n26858 42180\n63486 93196\n31 49270\n13978 28300\n3919 91335\n1858 77912\n1631 75347\n38374 90180\n41400 57323\n17163 42004\n1241 33615\n64333 66741\n22736 78317\n54989 92895\n21541 45930\n16575 59668\n73859 76807\n2424 3560\n64992 74007\n49917 73122\n78187 91660\n11753 23515\n60967 75663\n16545 29575\n9044 66836\n53243 64484\n46736 51125\n7375 26006\n13746 87843\n72855 90212\n29725 48641\n8257 15280\n33868 67942\n20354 63253\n77444 98746\n49262 70542\n31060 57678\n6930 15458\n55325 74967\n1419 12498\n7580 92399\n21185 22344\n33502 45178\n5830 24727\n7192 80525\n46742 62248\n1817 27406\n9568 21717\n41706 68981\n10724 81069\n31644 59456\n26092 87904\n60326 62545\n33339 99686\n82699 82783\n37120 53355\n2424 62087\n1306 51492\n13454 31043\n14017 60232\n14357 38663\n8025 18653\n36580 52341\n23866 88621\n19929 78049\n20407 58607\n76560 97746\n78546 97794\n5117 56754\n18719 54300\n58962 99137\n53864 89868\n83878 99497\n82319 94677\n21589 97760\n87920 97113\n93751 98583\n94065 95249\n14463 64521\n76338 92330\n62448 81971\n16815 21586\n7527 18911\n40449 76156\n52819 88159\n20411 53090\n31962 76499\n24022 34441\n61375 88643\n22439 44458\n4228 39834\n16936 76131\n11508 64095\n32066 73156\n47007 66415\n14387 66449\n21139 35931\n2857 23615\n2924 68420\n56372 93108\n91024 98133\n94072 96535\n11024 12140\n10636 24332\n23044 79833\n47050 54710\n13312 37752\n13630 30390\n15265 33109\n11377 21373\n12268 40400\n69603 89408\n52723 89406\n41055 51717\n59966 93378\n9239 58859\n22019 33387\n6545 20340\n29442 74745\n2796 25175\n37106 61638\n65239 76521\n7330 35683\n68018 94865\n60732 62610\n2146 62614\n30005 93108\n64073 85180\n6520 52905\n55314 83360\n33059 77866\n4833 96644\n60011 60015\n2333 25214\n91858 98978\n14524 76157\n21377 85224\n14785 82760\n2634 4336\n66071 99459\n78278 81687\n16444 68099\n57502 79174\n12315 93578\n15872 88374\n54365 61884\n62861 71363\n1950 31856\n3808 11630\n56468 62716\n12132 97693\n5914 61382\n11432 71493\n8793 19979\n39025 77890\n65536 77399\n3399 40297\n20875 85963\n42346 49970\n3596 38185\n43548 64656\n10166 19062\n45313 98419\n56112 82746\n4013 96571\n14803 94660\n71045 93002\n27962 39368\n75652 81414\n69030 94165\n19136 85003\n65597 97978\n31687 49717\n24802 89599\n8511 18977\n6307 18164\n75432 86014\n1838 33823\n75116 91605\n4495 92803\n9415 10790\n46565 47689\n25122 54246\n36131 82363\n5513 62823\n3224 26029\n33167 38520\n73866 87347\n36215 40494\n12952 75940\n33399 71269\n63645 87058\n11091 27445\n28650 74205\n25115 80868\n6873 22965\n87004 95988\n3574 92573\n45780 73572\n5577 55520\n12353 45363\n41755 61764\n10763 72412\n8665 23492\n66738 68197\n24467 93831\n48294 76095\n73046 98740\n3384 85413\n28659 92525\n89991 91079\n19064 57024\n50260 72325\n31340 42687\n22337 37179\n19366 80716\n19918 95403\n20838 96199\n50386 59832\n58329 83603\n58375 97962\n14196 78142\n12260 85545\n7459 88871\n1598 20491\n5445 60243\n88112 91299\n8251 44616\n64312 96776\n14292 90991\n16473 19539\n36715 82440\n46773 85348\n50157 83249\n22635 37613\n18113 48192\n34540 87265\n43892 77058\n36810 55059\n8473 97956\n56543 71613\n40087 87310\n7968 88386\n48984 52948\n32252 79807\n71398 79345\n73280 91458\n36041 93853\n2752 59401\n22279 70641\n30311 34797\n14130 98163\n18055 93096\n82920 87531\n17797 80670\n3691 69267\n24872 78291\n59649 70835\n41473 45488\n41683 55562\n2521 56601\n51906 63600\n14036 55104\n31067 77406\n3605 6948\n15289 60346\n9237 69085\n77399 85084\n33263 60841\n5173 38897\n6927 36617\n31419 96860\n5824 7759\n82906 86304\n1574 54718\n7553 90297\n32550 53864\n13972 25825\n3171 67506\n2745 83017\n657 89541\n13086 19978\n80482 92032\n10487 71647\n41045 80859\n38014 42265\n11340 40727\n3715 36692\n24777 51288\n34453 77083\n74084 91641\n1989 72487\n6048 16037\n785 92871\n20909 23040\n29252 67607\n10500 25889\n50529 86730\n68448 78114\n34479 82902\n848 97801\n31648 43719\n50759 59068\n25259 82140\n38758 93610\n21923 92224\n15678 29668\n54822 56115\n57483 93723\n21613 87883\n27744 56335\n2700 19907\n20058 30673\n20493 46786\n24194 56767\n26892 48921\n4002 4677\n25016 73776\n16555 42663\n31386 65520\n30547 36632\n16103 51844\n44954 79494\n26463 37303\n73250 75791\n10283 98746\n44931 65350\n2192 20727\n19582 63854\n42546 59736\n9803 83529\n26679 62812\n38177 62292\n27881 89442\n862 23838\n46597 65483\n7177 58132\n20836 29346\n24538 80653\n367 30109\n51724 59460\n51819 76601\n5989 92338\n16114 20091\n22040 83810\n41476 95013\n57491 62644\n26031 82954\n31075 89267\n44988 66085\n30649 47922\n34734 65568\n51580 69026\n18513 80647\n1444 57501\n35170 80370\n15902 30762\n25418 98904\n24087 78015\n85819 86998\n61945 84264\n50442 63340\n64868 83015\n34465 84915\n49020 94129\n48784 57524\n65456 80440\n9116 45170\n43452 52620\n12942 41990\n3784 17623\n50794 92046\n10802 78956\n75784 95157\n81907 89803\n32745 36970\n36629 99416\n28629 34523\n25760 45624\n67965 86696\n38972 60195\n41218 43911\n14651 56645\n63316 85213\n6428 71768\n57171 94647\n26998 76511\n3245 86575\n22022 99049\n35217 77844\n27184 39371\n24670 88408\n31642 74145\n51339 90498\n37813 49914\n21272 95240\n519 63033\n82467 90884\n3849 79486\n20949 23339\n6067 68243\n206 96628\n9426 25479\n64484 91337\n7868 82405\n4861 35836\n5114 61708\n49999 65686\n17635 82811\n54582 63546\n11288 68880\n78048 88755\n76135 84235\n14742 69352\n9322 80048\n1251 40606\n24038 38107\n62506 97464\n70237 91265\n43877 87714\n27399 57304\n84227 85158\n85546 98846\n76637 94392\n26911 68385\n65074 93446\n41781 44378\n5291 81220\n51690 98955\n8633 48520\n57986 88977\n27777 84065\n10313 42440\n15637 93099\n72376 83867\n52762 81496\n2334 92797\n33699 90147\n25498 49502\n4415 71049\n10987 90718\n88727 93057\n22248 91649\n45949 87482\n20934 94682\n14838 16917\n18827 94647\n8914 36925\n12040 36495\n1270 34641\n11576 74519\n55267 84060\n21564 24955\n21384 70413\n41980 68583\n10142 96136\n55908 74676\n10560 86170\n4015 46475\n76209 87313\n35790 62555\n2105 71841\n51184 95986\n837 41015\n7190 22197\n4464 5712\n91055 96262\n33488 82448\n36152 91329\n37189 81141\n14321 78089\n36287 65304\n73078 73740\n65288 76961\n50105 84705\n20356 97237\n19537 32243\n2899 19890\n9156 52778\n68670 78243\n26283 78369\n13905 43884\n79948 81110\n1818 60839\n27414 64673\n9607 78813\n49902 60042\n32983 95528\n35756 48112\n26216 89584\n13219 66502\n5114 88250\n20970 21177\n10497 59660\n6637 92619\n4581 25807\n20706 95335\n38037 55942\n77834 95370\n24281 85964\n12155 14543\n79617 96746\n59435 63341\n5280 7202\n15580 97410\n34296 76913\n42974 44784\n17996 51395\n37182 69495\n23635 70727\n10017 89712\n37255 49234\n43839 99869\n58694 98583\n53702 71782\n34421 37482\n58871 93385\n6719 90658\n5871 77149\n38276 79086\n57192 87850\n29555 64107\n25622 90953\n1437 97374\n26394 65166\n36069 81558\n35914 55187\n1658 19525\n35145 61868\n5909 52878\n58463 66564\n39420 69731\n34441 94909\n13435 27130\n33725 65154\n6959 13477\n62912 66512\n78549 96627\n52015 96798\n19912 73470\n8509 65004\n1331 88881\n4344 76667\n12820 61599\n13508 81733\n37518 46232\n26628 71964\n5026 82332\n26123 83331\n67810 72478\n65405 94768\n18315 81768\n15730 52565\n48900 60884\n53722 82443\n66809 95593\n35949 99803\n33954 95457\n88917 92755\n56478 72864\n3865 67353\n58154 63124\n39857 50418\n35676 76700\n25162 54950\n48725 73477\n12769 85004\n15992 58852\n48159 87755\n67524 84748\n4112 92889\n74020 98161\n74559 81892\n33656 79720\n5515 85400\n76509 99297\n13445 64757\n62005 63122\n19784 43162\n25851 32929\n58968 84363\n27990 67321\n9281 49183\n26400 79936\n8768 26461\n59808 59972\n14540 68902\n16956 70831\n12347 53056\n54252 63680\n67401 67721\n9532 41401\n69900 97313\n16883 41868\n1928 23906\n35943 82574\n34983 37958\n46173 62883\n67049 80508\n16299 55541\n47977 74832\n23445 30781\n37790 64462\n13765 65312\n8721 37754\n44954 80744\n26876 83905\n64613 77582\n22719 59768\n29630 38754\n13505 85576\n68956 86221\n14641 59725\n4504 47270\n27153 59970\n24364 30244\n42143 76062\n16265 31829\n500 49030\n18016 34928\n21008 81937\n28748 71817\n64756 96329\n22285 72693\n36931 41915\n15582 82663\n70406 94895\n10411 38729\n36728 61681\n79087 90003\n52165 70770\n32732 47417\n3991 92532\n20436 91459\n24876 97493\n58121 75418\n2760 60390\n17707 56161\n13910 79985\n14 56794\n47667 78292\n60772 88049\n13623 54765\n70140 79079\n56835 79864\n8291 54432\n39447 79628\n55193 71787\n21886 85440\n17452 90392\n2504 55026\n55236 63031\n18942 45569\n3936 61136\n8605 56097\n29414 38791\n36466 82775\n24660 34812\n49620 79394\n732 83702\n20694 38166\n3716 82001\n63296 86767\n9888 79871\n44672 79752\n11672 32116\n29054 87437\n24074 67032\n28388 44196\n14185 94982\n35815 54367\n27954 97185\n16381 85674\n784 63534\n63780 85734\n51495 77699\n15383 69601\n17665 99004\n5942 70467\n48016 52245\n62726 93901\n49723 87768\n57133 79476\n14248 91609\n56216 97503\n10589 18770\n7523 70879\n60290 78173\n31305 35476\n11803 34660\n39812 89359\n2559 99404\n47815 60990\n18592 45242\n31725 74618\n4556 65365\n78481 82951\n47493 92835\n13266 43363\n5137 22202\n16712 44598\n61781 90695\n22511 60820\n76879 96915\n727 73510\n28186 33876\n61580 92456\n11080 53989\n5943 24721\n14570 36942\n15846 24543\n23630 71942\n57162 59929\n19536 55945\n32551 78352\n60262 86700\n84847 99519\n18088 46846\n16366 24130\n5055 33770\n70767 92057\n996 49477\n79812 95762\n7535 73985\n23278 63087\n51680 63674\n68442 80142\n70315 92583\n15763 83550\n31300 61479\n7348 68296\n7061 48507\n7864 90665\n17355 96010\n80303 98691\n7134 54742\n24775 86155\n30925 91767\n17377 70470\n18017 79992\n44816 85608\n28638 84052\n85471 85668\n15785 28334\n26247 39474\n39725 40083\n46824 57433\n11277 72696\n3382 4788\n23309 89193\n34554 78979\n65745 85099\n41733 88916\n18115 66683\n22823 35033\n56800 83094\n56548 71295\n48630 66973\n84421 96211\n25657 57100\n44881 45706\n47747 83847\n73147 76894\n2073 67737\n29680 39519\n50239 95236\n49978 83826\n66976 74129\n69211 79848\n7038 28252\n62864 83740\n57775 81462\n43219 45564\n12650 87088\n33409 76505\n1500 59411\n1328 93651\n60936 84233\n63867 68718\n50685 83743\n44714 72576\n85237 92762\n134 61630\n51358 88541\n16833 47954\n815 28607\n37457 54826\n32159 88472\n165 60296\n9031 70059\n19487 52194\n27176 48715\n43873 47814\n28291 99640\n17242 59456\n75965 77924\n40085 86051\n51466 57308\n18336 53442\n12717 39687\n12836 34091\n40308 41531\n12867 42960\n33905 61184\n5896 82716\n37524 75970\n25214 74642\n60400 88652\n19668 37008\n57021 80108\n1724 62133\n51090 52578\n10592 84408\n61974 76072\n30131 75909\n17689 58341\n49488 88448\n33531 69701\n10829 47682\n17267 17961\n21264 46791\n58051 63438\n58381 90875\n32386 85403\n46763 86563\n48180 49128\n1147 74745\n13865 47102\n62150 99822\n34328 91537\n34270 62091\n18571 97942\n26871 27120\n88361 95928\n19024 90467\n50205 76838\n29986 67842\n10064 29654\n10516 46084\n46677 87007\n32355 92964\n61664 62060\n17870 36067\n23837 28087\n71532 80325\n22602 80784\n17321 66939\n52972 75120\n6853 13017\n18134 81218\n58045 87059\n27243 77513\n21092 86811\n64191 73087\n5349 8803\n33313 88144\n17658 21321\n40333 89663\n61402 86272\n49694 68009\n42674 53696\n18191 51488\n33976 73529\n31323 76246\n47807 91082\n41395 58743\n20874 69752\n36631 43215\n6271 22303\n6834 51311\n12916 47242\n28008 78351\n41417 86938\n18656 22091\n86324 90489\n20433 50647\n33451 87207\n7138 68048\n34469 73961\n4620 8921\n19281 56601\n9292 68893\n6438 64618\n72479 81283\n70544 79335\n15738 76092\n38387 60268\n18976 75122\n93092 94026\n24034 38544\n3773 27688\n7331 18445\n6822 96056\n55555 87150\n9144 38814\n15364 70729\n9779 41270\n11714 92144\n78278 79322\n22464 56712\n33857 57421\n21624 45127\n34856 75705\n8256 42377\n39484 86415\n61285 73799\n5156 18438\n27386 86952\n11873 81235\n11147 29174\n69249 99551\n8904 90362\n25660 40950\n93330 99708\n73886 98695\n4188 18656\n25648 68652\n12895 13976\n16159 17679\n67733 85292\n14551 96633\n4595 88668\n57126 82257\n40249 93591\n27064 74424\n4412 46810\n32921 81224\n32195 53911\n31271 65528\n20021 51450\n3988 88376\n36311 62541\n30077 51570\n14653 26280\n51300 75520\n39136 69396\n11643 20793\n51767 82339\n5066 14114\n17278 49771\n16940 27350\n10234 88367\n4008 11481\n26965 39675\n67539 89037\n35368 45807\n46556 61586\n47391 55560\n22347 32058\n30612 86432\n39578 55892\n43363 84797\n40944 71251\n7818 97665\n9757 76510\n44233 87655\n23534 92004\n57083 71668\n48281 65500\n58086 84702\n19016 49081\n23992 90397\n7368 48963\n13910 38329\n57271 92393\n49069 74093\n26047 52597\n30130 98183\n32535 49350\n71021 91991\n22294 91502\n45315 55554\n87867 93640\n22276 78099\n30226 69302\n50590 70893\n21054 86643\n32460 45645\n89474 90779\n20706 28019\n44252 94891\n70739 83715\n5128 33011\n4005 15711\n50400 73614\n35129 38516\n51296 81934\n8117 86005\n50306 62600\n52358 82300\n96837 98612\n7879 87302\n10791 19269\n32581 91477\n21353 74598\n15112 98342\n74548 95469\n27576 79981\n13437 61620\n60580 88378\n31812 40730\n3313 47742\n36522 54423\n24513 58388\n43986 98846\n24723 89710\n4946 70522\n83058 88972\n54294 74183\n61754 93690\n59416 84563\n25218 55256\n13508 54173\n30814 30844\n34554 78792\n34397 80535\n73711 83682\n74033 77011\n34353 85675\n46506 64276\n8929 26892\n65547 99578\n5089 62839\n1630 5010\n20578 59184\n3999 48261\n9917 13465\n10121 98342\n1892 2076\n81054 84537\n688 48828\n29718 45192\n17395 50786\n41197 44068\n60345 62959\n1510 89261\n17988 36210\n1697 93259\n56974 62916\n54306 84219\n3 73020\n15285 76459\n13026 75329\n23443 96963\n87124 92927\n72987 89670\n40699 52968\n873 95952\n70709 70908\n67445 73844\n8388 98053\n41091 86791\n25732 43510\n22503 49903\n59499 96640\n66598 95149\n10321 76962\n38260 65862\n4911 21872\n13213 46997\n23235 40258\n52516 90404\n70903 88386\n26918 67571\n24179 89992\n58610 82007\n67797 96179\n41466 69061\n47911 89305\n22236 66941\n14650 86762\n22990 34813\n59486 93808\n10635 19111\n10258 17072\n12868 68518\n62621 89896\n2879 60082\n216 34570\n35242 45253\n12132 84522\n11230 32477\n44678 99000\n45524 99377\n96531 99166\n18047 19020\n51154 67015\n17134 46333\n11165 82237\n45632 58702\n45330 50015\n53339 88542\n46592 66275\n49408 88069\n53048 81352\n71949 84485\n34857 39047\n76460 92903\n28181 74855\n18796 71299\n29670 34383\n164 86145\n81604 89843\n76464 89232\n69848 70955\n19232 40340\n9875 87225\n7921 32179\n31546 70176\n30278 38941\n4355 71100\n1558 52133\n91081 95975\n37089 51577\n51632 68557\n28028 54545\n8811 62223\n54164 54614\n42024 74214\n21097 71684\n33875 89872\n72238 86495\n31083 92171\n4966 9973\n9144 49287\n16069 67615\n31884 48020\n16193 91082\n74295 74600\n42215 59060\n71787 83879\n496 99755\n89246 93443\n46213 61930\n6954 68717\n12169 50072\n33003 58285\n6575 33533\n79600 97110\n88019 98766\n22274 75338\n37320 67814\n50337 79523\n27890 64525\n61043 93016\n54721 89320\n8016 79675\n12222 47656\n30079 78660\n31277 72298\n7094 50582\n86282 94563\n59673 85969\n84141 90741\n34875 63014\n4225 64591\n1856 79542\n1895 33914\n30095 43550\n55208 90435\n31100 90065\n1227 31061\n55272 66053\n4270 68354\n13 97371\n429 28464\n16080 69726\n27408 46525\n63366 78649\n45026 85449\n6079 33658\n4648 9651\n67525 88694\n74945 87175\n83439 84585\n16143 65613\n36489 64621\n55450 74182\n25672 90906\n40765 86384\n7684 61706\n1663 20376\n29030 93495\n20261 41231\n21221 51736\n22488 27860\n58319 93305\n5740 70211\n11294 63872\n45299 54693\n67280 98132\n19565 45039\n24679 26901\n14406 56935\n61648 77185\n5932 25636\n6709 60742\n19979 77907\n30387 71305\n14707 51024\n45318 79766\n12733 51377\n43571 79756\n3356 59466\n52766 73650\n52418 99450\n8564 88278\n10553 61050\n73640 89533\n51351 64408\n39704 83450\n10767 40036\n42243 98881\n55929 81010\n66363 95838\n38958 74845\n16995 96631\n76355 85162\n15495 81720\n68702 93896\n85935 86819\n37768 38251\n13296 53375\n5400 22147\n23142 89048\n8019 44168\n10772 85555\n47323 70312\n52160 70848\n73804 94895\n29328 31140\n16280 95844\n48748 78308\n23325 30097\n14484 96806\n41440 64326\n8825 89667\n4546 66949\n25373 86723\n7664 10331\n36157 78578\n39982 81326\n14599 67327\n50721 99228\n8632 72374\n40321 68303\n42197 47880\n35511 79864\n65793 78232\n3070 79025\n42698 53961\n53368 61923\n3790 60097\n59624 64111\n78576 94508\n10975 78515\n36 16937\n2872 70534\n21985 87537\n16703 75169\n6626 46589\n15090 60064\n1855 70520\n81522 91417\n82900 92465\n35737 99451\n17363 18273\n37115 88010\n27402 72012\n48371 80857\n84371 92485\n78922 92948\n37596 69449\n64243 96576\n8236 14697\n40806 64624\n13195 23875\n19023 45903\n26376 77564\n43855 89992\n18785 38397\n35103 36639\n45225 79471\n24494 76944\n14378 44735\n40227 53617\n44827 58394\n53004 68296\n14541 94745\n5920 37312\n5985 9707\n11466 31235\n2416 67873\n27926 49607\n9457 54516\n61223 65461\n2536 55572\n16034 53685\n16156 17051\n27264 84754\n29516 45673\n15115 51913\n55247 64136\n27635 47537\n40333 47031\n524 65418\n41376 77014\n23001 53328\n47651 92049\n27643 47441\n68107 80759\n41537 93727\n1404 84207\n76749 84082\n36412 93281\n45853 73988\n36654 70838\n23817 34444\n22241 47470\n25929 56748\n18986 74584\n27001 51114\n32527 94518\n11420 81329\n27073 83983\n16389 26461\n2878 15458\n45757 48389\n48839 75695\n31845 73030\n21748 72032\n3178 89025\n33354 83144\n42323 54545\n39981 76906\n22941 87053\n86855 90354\n38392 64789\n14123 77239\n28670 29043\n58133 76688\n20521 23458\n21374 35175\n30653 59645\n64590 66745\n23913 51722\n29866 44411\n54190 65015\n21310 67937\n25678 62918\n3446 64390\n25969 89901\n76415 85923\n17007 89586\n44414 76147\n13076 95527\n18078 59893\n7369 80728\n58 66092\n83940 85548\n5685 77932\n46733 84393\n22465 45316\n17729 62708\n1750 84559\n60831 79569\n37868 64213\n3692 61724\n21944 95103\n7730 48801\n37257 86212\n43417 92136\n28042 66375\n3938 55394\n50785 84542\n31236 38440\n6313 93126\n32126 80614\n1598 59155\n8682 59555\n1007 75869\n3755 98996\n46284 58220\n17354 71640\n50813 80700\n17900 21992\n655 90078\n42653 73215\n77775 83233\n7524 10422\n56473 79184\n23248 44774\n23423 51182\n49706 77466\n10139 63659\n33252 52233\n26250 68576\n8243 18509\n17835 30810\n90896 98795\n8200 82819\n22103 31671\n75939 90239\n24583 88292\n32910 57439\n50945 75107\n16490 32188\n14337 29429\n60135 98262\n13851 68084\n47802 99186\n33652 61638\n91477 96703\n43341 89984\n29487 61763\n7117 7938\n8594 94821\n13544 27877\n56165 83836\n46957 48397\n21971 31043\n69022 78399\n36170 62849\n37990 49785\n8390 44583\n25728 44377\n31271 67774\n33002 82885\n32496 40897\n46653 81282\n15222 90739\n19099 56581\n42363 99081\n55426 83317\n6279 73528\n13148 59104\n70991 74835\n29072 62092\n14333 58953\n35198 76416\n12915 50246\n45832 72341\n12594 81745\n15341 50632\n23517 76210\n49079 81944\n44056 79455\n22124 66374\n28004 31166\n61014 95866\n79677 80300\n27666 92093\n36677 45442\n40911 89951\n23261 58517\n43123 70007\n68466 90350\n48387 56210\n50306 80191\n24501 75706\n6493 27294\n37682 61869\n39950 40633\n19661 57689\n20944 61893\n20874 57428\n7460 69485\n69667 72567\n23796 51027\n98370 99646\n57976 58642\n10004 53605\n17091 27601\n51453 56763\n47435 98621\n3909 57920\n23603 51504\n72477 87398\n4797 90988\n23201 89249\n12479 67823\n10046 58176\n67898 85046\n70122 99976\n20644 42573\n13930 37707\n57534 60479\n63280 67767\n7883 84798\n7930 84104\n26852 27607\n21626 83592\n6151 44232\n15321 25660\n37485 87864\n4084 65811\n31853 83938\n49933 77448\n664 21815\n2892 34782\n12939 72484\n22347 26390\n69633 92104\n755 95796\n8831 18430\n76244 91108\n14228 42440\n5111 77273\n16218 84275\n18268 77420\n50962 88812\n13637 42402\n22880 87702\n85050 95199\n28372 74596\n18235 91800\n29329 49399\n8510 57207\n10877 78616\n64326 64865\n41309 75332\n23613 99274\n34538 47818\n31711 73845\n1733 34908\n52247 89319\n17093 98424\n2306 67163\n22727 72872\n62220 93086\n20790 56156\n13982 30519\n74743 85856\n15468 70138\n23193 84959\n64115 67727\n22913 38463\n54685 78694\n24900 84393\n33199 36504\n16411 17801\n1665 47169\n96389 98328\n30636 98406\n50086 92181\n3638 9010\n41204 47287\n11593 27867\n670 88603\n58448 84263\n44453 87111\n35516 37612\n8019 31193\n33376 97675\n52800 95196\n25127 69338\n13800 52379\n36061 37946\n27357 94055\n61277 69406\n81032 92184\n32861 71926\n54807 85010\n7208 19262\n58906 72847\n30451 86422\n48256 58732\n12524 13704\n53816 65031\n19476 42901\n67048 68867\n10182 21859\n19359 26382\n39001 80938\n19392 88537\n7534 97511\n33337 62808\n3444 11623\n86103 93786\n25599 28536\n17455 70751\n70785 72188\n12420 42195\n7361 73018\n559 24875\n12469 33510\n6260 68281\n5853 48473\n63 66626\n52446 56381\n58598 90154\n27178 52174\n12971 72660\n40376 69113\n36453 63588\n51795 62882\n10119 71160\n4423 58163\n4327 48604\n16887 48172\n33285 52761\n41997 53044\n3542 70854\n44709 87996\n74294 82587\n35930 41369\n20959 40911\n72635 89634\n51494 89468\n14430 34770\n528 43363\n34659 76849\n4876 5598\n71382 73980\n37597 57409\n77979 91525\n19426 81779\n85735 95300\n81037 97289\n41646 68935\n18548 89998\n1321 94768\n33510 70897\n35887 68868\n10560 16959\n40048 44516\n20297 52289\n10163 58342\n38306 46696\n76148 92098\n17273 20864\n30218 38560\n11805 30170\n36168 56094\n11546 86639\n4514 97358\n20157 77593\n3940 45962\n65442 73385\n43615 79322\n18268 92962\n6114 83029\n70972 86935\n67603 98432\n54712 87085\n55121 85660\n12073 78803\n43499 55797\n4792 64637\n504 60595\n1549 86722\n75486 87313\n9412 52785\n12007 24228\n54868 72045\n65802 67196\n31631 94998\n9516 85124\n57565 73284\n53133 55863\n88249 98230\n46726 48294\n17752 33184\n76948 96128\n55553 62404\n23111 95804\n14479 94807\n5787 11067\n55670 85250\n8133 69321\n8000 97398\n45533 49893\n11576 90401\n46374 64491\n11962 72524\n14649 69423\n73050 76301\n40582 84813\n35738 47364\n43288 86038\n31723 45172\n81955 87571\n4827 95590\n52594 76807\n77749 81935\n5201 59005\n74052 86630\n9523 96008\n12189 76815\n10510 61371\n29422 94339\n31832 98060\n22468 90173\n79100 84993\n5911 10876\n13349 90048\n27912 72632\n58078 97092\n22510 91215\n84100 89628\n969 78581\n72402 77766\n71419 89633\n167 94754\n44597 50303\n47333 81210\n8398 55560\n23968 44855\n10388 90895\n15997 70743\n40173 42713\n11393 41406\n26811 41452\n9086 55108\n14557 39700\n46152 67013\n35111 50251\n58495 62481\n12410 42281\n32900 85595\n4049 17074\n9081 40674\n11995 65223\n75842 87381\n64893 90766\n24184 67849\n16142 72667\n10412 67118\n46361 72944\n32793 51143\n17416 51234\n94689 99508\n55017 74206\n3113 88224\n9889 12992\n5456 81173\n47471 95543\n30510 68696\n4623 14706\n1205 16078\n25608 87101\n74701 75004\n78433 82645\n9005 66148\n51704 85493\n9515 58267\n15118 62457\n10396 43622\n11261 83795\n27536 83287\n4013 22591\n27996 66123\n58137 62415\n6401 61322\n62010 65741\n70929 78163\n4569 38689\n3197 16006\n15837 29746\n29535 50089\n15573 85680\n24191 65857\n52549 66156\n18061 48616\n57475 61183\n34817 73041\n36834 57824\n29584 97999\n31434 84846\n59010 83627\n5740 64361\n14132 90136\n9506 58673\n43132 53603\n26925 85235\n35535 54831\n11148 71969\n70025 86845\n17374 57193\n19388 26121\n29315 96588\n9454 94037\n50928 75672\n42749 53143\n11968 14661\n6766 19267\n31618 84110\n75898 81221\n29237 84889\n26621 59297\n39852 86657\n32942 59550\n22179 89682\n54972 97946\n84643 97722\n60667 70674\n54318 71434\n71006 85025\n32847 84248\n80060 83128\n54862 88531\n17265 57915\n3374 79339\n10007 19912\n14366 33828\n59272 95100\n63967 73937\n3721 90758\n42428 49733\n21939 32453\n42851 59806\n21423 83900\n75110 80043\n60390 73482\n2287 39496\n34624 40151\n6998 43576\n9412 55113\n64171 65108\n42148 93139\n5305 80149\n32564 58910\n34798 84258\n44652 63456\n33567 49793\n13622 72867\n55599 83860\n29887 69564\n63738 96103\n8446 30002\n33260 58554\n3405 70354\n31604 99808\n27116 29753\n9190 28128\n6098 35055\n185 6370\n56864 85952\n61323 67412\n6117 73275\n50704 97772\n12758 79394\n14399 19271\n56594 57940\n5851 55653\n64579 98967\n32242 37492\n28411 92227\n45706 63046\n9296 80544\n20268 34763\n62037 78963\n7823 49131\n52411 78551\n19183 57764\n8270 27010\n17815 34828\n89295 98634\n21701 54055\n35695 96581\n20085 29318\n53789 95344\n11494 98283\n17163 98891\n612 18262\n12250 89508\n65944 74891\n79185 81744\n30343 50427\n67624 79182\n23073 73583\n3459 95676\n56213 89389\n32771 86931\n762 87369\n13432 60181\n56945 80010\n41272 81232\n45638 66788\n52520 88601\n3661 40873\n76553 79721\n27546 55994\n41650 78837\n3772 95138\n49170 79167\n6548 86291\n32904 84143\n8665 30949\n16507 35021\n37127 65792\n21921 83812\n58258 79761\n57121 82518\n16919 55844\n58044 65373\n45108 88451\n19922 85133\n87385 98730\n47158 68910\n60379 94672\n58875 79429\n25220 43893\n12113 38721\n22878 36424\n84569 93185\n6839 90364\n33728 93151\n1734 85626\n34211 52513\n57463 96777\n3963 75790\n71963 81175\n94278 99207\n30516 72625\n30504 72023\n57732 80222\n38820 58457\n64928 92225\n93101 93547\n8513 74028\n8409 96420\n27779 90504\n18214 68687\n28165 84780\n5213 93771\n21944 87243\n22970 82861\n27148 58660\n16722 84423\n18614 30159\n35936 48840\n31965 97558\n4229 47709\n4793 47633\n78907 97251\n870 63832\n26222 59939\n31743 46438\n3149 64456\n20271 81810\n3652 84864\n28578 84450\n6932 22935\n25343 68448\n63440 67619\n47686 69460\n68116 72508\n15073 20096\n56946 74359\n40881 66467\n20394 59999\n10703 83239\n7711 25927\n36652 76116\n14544 65005\n388 56757\n54524 93985\n53557 91113\n7508 28110\n22515 92206\n11742 69361\n4503 46736\n27097 70952\n2209 91613\n84005 97773\n74054 83858\n12932 47473\n11647 80455\n38762 88381\n81753 97260\n25878 98190\n51552 98960\n61675 65079\n11406 39037\n5751 35995\n48540 65916\n89043 99944\n39842 99794\n7503 30237\n4053 81230\n43930 64092\n14455 48694\n26358 39085\n21797 73913\n5795 50994\n50925 75734\n37855 39070\n16373 83242\n10685 42931\n78090 91726\n53952 54857\n53888 95542\n44774 59563\n46985 55617\n16703 45504\n31592 43214\n13895 60450\n37840 97179\n47628 70192\n28493 53796\n38897 95293\n14886 85008\n27744 60895\n21758 24624\n7808 15243\n22431 40460\n10316 78481\n41058 43935\n50446 80892\n27553 38013\n4432 49980\n54786 97971\n72795 98810\n54445 72571\n48627 59331\n12775 90416\n20740 69144\n52803 62014\n22753 64076\n28912 78444\n47384 97840\n44499 85189\n14361 63749\n60169 60922\n22573 44314\n58321 61364\n53060 58837\n34802 74875\n34918 49100\n35955 85933\n49557 68343\n23924 38751\n17490 76961\n4496 54495\n36201 53782\n27380 78707\n50938 66672\n15504 80400\n84680 94562\n64832 88683\n92644 98423\n22365 60448\n33494 35838\n4226 6775\n661 68178\n25940 80877\n8460 94408\n34733 47764\n57514 84249\n46451 67488\n4682 56795\n87920 92339\n20589 87270\n51654 54321\n27101 83847\n10480 46776\n54485 96664\n25717 63855\n66185 97370\n30828 62471\n1463 45110\n8181 64498\n33030 99804\n8263 46417\n10680 83823\n1266 77626\n31500 46463\n75345 77096\n38658 44197\n70447 81771\n1549 13538\n17962 32462\n24084 67115\n59769 99918\n5770 40925\n31563 82322\n9245 63219\n82208 94556\n4368 45750\n31681 47559\n28969 81033\n35986 97029\n5370 13531\n88200 98696\n49351 55054\n30799 78950\n36775 74684\n45384 77055\n48040 59940\n2681 37866\n5903 18409\n56573 71335\n21524 81482\n49700 98519\n7100 88903\n37908 67221\n17395 71756\n5818 36838\n28231 82303\n37413 40002\n11829 75116\n11787 90169\n17780 44275\n40720 42159\n6219 64883\n36528 54683\n21548 67697\n18588 67602\n4062 44720\n41283 62079\n16344 76067\n34899 67261\n70113 81031\n13676 51224\n59411 74671\n24027 52975\n46872 94713\n11894 91948\n70082 89172\n26951 65827\n19580 74981\n32129 50621\n34692 97116\n18680 75122\n39257 41402\n13740 24444\n30874 36199\n20351 40267\n7740 80366\n10414 33589\n81109 90640\n4537 41505\n12897 75140\n3345 72847\n56633 80074\n31386 80778\n47252 67197\n48788 88693\n7400 19685\n57618 70855\n53651 86000\n74136 77962\n21279 79867\n24899 31811\n17557 84229\n40585 73275\n7640 36195\n19203 55013\n58337 66165\n38366 39448\n63930 69036\n72868 74706\n3273 37780\n66316 87625\n15697 65423\n13212 18644\n62853 98347\n43480 77554\n18844 46594\n25004 80769\n7796 46823\n69732 77307\n24246 28740\n27086 67030\n11026 60795\n58920 66136\n67886 84625\n33083 44813\n56647 72261\n17054 52614\n30427 96508\n10019 54783\n38658 75518\n42165 96089\n10769 73124\n71093 79559\n10068 76720\n16345 23002\n7433 81703\n41982 76009\n43610 80502\n27219 94067\n47612 90801\n41626 62227\n84920 96313\n31317 82347\n3413 17482\n1639 68050\n74618 81393\n20021 29781\n74491 85953\n4359 62613\n7999 63886\n23318 66647\n29431 97870\n2862 8706\n13201 75542\n48603 83282\n1842 37473\n17460 62133\n29083 68584\n57505 85926\n58402 65699\n20512 54203\n13983 67513\n28889 36961\n2253 98590\n45003 62589\n67763 79619\n5398 26593\n68463 84887\n22868 83142\n28060 29415\n33141 81565\n28746 33517\n6945 25463\n31344 68262\n14765 44234\n10306 57605\n12689 86962\n31796 36328\n62477 81810\n3135 17028\n13426 86935\n30619 62576\n37439 95703\n16969 98745\n71852 95233\n42583 93653\n19619 22315\n10335 35910\n3706 22508\n13167 24317\n87982 92100\n45435 62768\n16332 33394\n33418 46957\n23156 36187\n69985 95266\n42477 95058\n7476 78693\n3364 49537\n79766 87492\n58727 59268\n40984 45236\n64090 74821\n91895 96841\n17370 89812\n78949 90656\n20449 21496\n79516 89267\n19379 67249\n52672 99749\n51810 80399\n3289 23697\n39444 93041\n52644 65663\n31435 36005\n6686 88642\n10168 96426\n73758 98744\n49748 67472\n70366 81068\n1714 47688\n10775 86008\n24229 90579\n42665 63837\n8378 99535\n31774 47461\n22937 40283\n20502 96492\n20358 48016\n32260 39178\n3124 91550\n26866 92162\n62051 86777\n9333 49940\n4319 64526\n7649 79166\n17587 51313\n49242 71853\n30622 96703\n28749 37999\n36705 47845\n72874 81485\n1103 78608\n76610 85323\n1107 65730\n29923 34732\n19610 76676\n10685 38923\n9417 26377\n33343 88299\n73697 93788\n19778 91881\n37456 75012\n65572 86095\n26439 58953\n1045 75219\n77812 96680\n37216 37300\n34951 88729\n31067 40089\n78407 87487\n6585 42365\n35201 78405\n31875 35610\n61093 92545\n3100 45476\n26160 99161\n32597 99475\n31589 40608\n50506 55654\n31199 31275\n10675 65117\n39866 97862\n52670 76877\n84563 86086\n41889 91267\n17320 91779\n59831 77433\n18649 57063\n19789 96277\n2582 15607\n9 85178\n57072 77006\n31116 56037\n392 54096\n17366 43340\n55589 76484\n47709 50818\n21658 82676\n29258 62959\n5658 76795\n31631 60248\n7922 43498\n19742 23149\n41695 61131\n7947 19048\n72509 82339\n2194 7631\n8000 65657\n3137 9030\n57713 89458\n390 21081\n56472 58989\n13594 15092\n50101 75748\n3959 4968\n24083 86562\n28958 36662\n26346 28129\n66678 97563\n46524 48673\n83065 95041\n54787 71567\n69795 94002\n27154 31407\n31082 47475\n12396 24827\n27908 76827\n54923 95822\n42162 50086\n56369 78158\n20580 63265\n47165 74431\n41684 50581\n56207 90387\n10372 63291\n85789 97185\n26649 69843\n24520 88100\n12609 46679\n5494 19458\n5211 31853\n16376 39761\n35147 49034\n36416 70685\n54211 59254\n85335 95217\n40222 43836\n52891 54175\n64182 85926\n45076 70559\n23933 47184\n36081 53016\n16905 77981\n2105 51475\n14480 79565\n19909 43468\n18229 37946\n36799 95722\n6148 70523\n58201 86847\n82640 96084\n42510 96869\n15909 82996\n6684 50229\n31809 89174\n17494 34799\n6977 69956\n19783 71362\n61390 97212\n87286 95193\n36226 92237\n20580 99231\n49674 78140\n20285 97167\n13150 89320\n11378 84301\n12316 55532\n34386 57094\n30752 87035\n23228 72283\n52497 56492\n52583 72613\n9208 89345\n20071 33777\n5909 26220\n48299 50383\n35483 74660\n65481 90190\n23057 33967\n17572 23549\n28218 48487\n33184 94910\n88956 90572\n9252 16655\n61737 89226\n16125 97330\n48909 63504\n23390 48022\n20992 30139\n19730 56185\n8025 34319\n67196 78742\n6618 31314\n21097 42995\n51251 53470\n39179 52921\n63516 65832\n62204 88882\n56309 83863\n93270 96877\n57768 82552\n71155 98056\n26281 27083\n17486 28799\n6434 22431\n15583 15912\n47605 82424\n41358 45371\n35231 72656\n1156 12947\n28488 91924\n36122 75432\n48528 91807\n66775 67661\n12274 27093\n67193 95252\n11430 48917\n33798 58073\n91204 93335\n35741 93476\n34173 62243\n5820 46561\n27122 43992\n21502 88798\n13108 97482\n52097 81829\n33220 94459\n44439 44958\n23900 54150\n33142 96945\n50359 98700\n9823 73287\n3781 25747\n57640 63325\n9928 60987\n3060 18973\n15120 33067\n29396 40253\n66356 93932\n19009 40844\n62381 67965\n12090 40599\n18155 27553\n58311 78397\n24258 27249\n25977 64278\n6711 73391\n77296 83672\n8836 57249\n29406 87876\n21762 71842\n66526 71951\n11028 34465\n21261 76033\n735 12048\n28659 78871\n4946 39422\n44449 67614\n8918 12803\n6800 59193\n6594 12213\n22202 30733\n4427 48866\n51791 93306\n16297 84589\n22305 98246\n71579 92280\n71576 76228\n9268 94628\n46032 50271\n19210 91491\n261 57194\n27787 84030\n10068 13550\n50032 54188\n3539 10998\n16568 39327\n539 15568\n57889 62495\n34996 59698\n4541 96479\n17398 86363\n5222 26544\n75173 95495\n7750 92928\n3459 85004\n1000 44382\n24945 94942\n24895 96633\n49431 78173\n49519 91839\n82779 97689\n4298 27872\n35059 47285\n1342 6526\n17307 44465\n5650 83781\n31171 66181\n9408 71875\n33255 40714\n75640 89723\n1501 2939\n74316 86839\n55662 76646\n35534 47675\n41934 63885\n80592 80760\n70328 97961\n59572 80329\n48755 56471\n56330 67426\n40146 76258\n30701 39698\n19662 62558\n3827 54315\n37854 90950\n59450 95261\n77667 91895\n21173 90455\n16854 92705\n11627 30727\n4960 10281\n54574 62368\n28398 69895\n2615 6177\n68907 91668\n82953 93672\n9627 65949\n43926 70422\n14685 31376\n2001 55033\n11254 61144\n1594 34500\n18400 84138\n24772 42543\n68298 68839\n18963 28717\n25258 86662\n47902 83882\n10088 62655\n35374 91124\n64729 87340\n47061 55644\n48788 71155\n597 11719\n18668 35850\n30693 75215\n35700 60504\n76641 79759\n19520 29189\n9643 57547\n16218 61878\n31844 66272\n21156 93537\n20166 71863\n6170 75204\n2502 53428\n38905 42021\n26948 81126\n28788 71935\n30739 75156\n60423 79589\n64693 83323\n19476 40223\n63434 98140\n15434 29697\n8280 14182\n60991 61938\n17104 83041\n9592 80227\n8549 10168\n17159 78046\n39758 73798\n67917 96928\n2633 61685\n5812 87735\n10964 28980\n15631 27875\n93450 98875\n53250 54082\n5149 73030\n29484 65620\n43952 74195\n685 66305\n61009 69851\n58899 72877\n62546 81378\n31458 79320\n28338 53582\n25977 42392\n47090 53800\n76472 78261\n6700 86963\n49561 55944\n14118 54371\n29507 79754\n65306 79816\n54381 75278\n2275 39967\n76362 81631\n22982 56760\n50543 98653\n48832 76835\n7045 95663\n9181 21520\n34235 63305\n6540 94305\n15205 72752\n5717 40478\n18509 96070\n11026 45124\n10437 91291\n57080 94710\n54926 80866\n9044 68717\n30420 78631\n1764 19434\n6867 27701\n5120 11323\n1451 97581\n63006 92147\n16201 62970\n76185 97952\n22770 89935\n12028 77013\n9108 29037\n2966 31160\n18217 73945\n21356 41219\n8278 85521\n7382 47177\n26426 68094\n8423 26367\n902 6308\n35474 65018\n50048 82532\n81908 94349\n20061 61330\n37762 95582\n7005 91158\n14981 66619\n21349 54896\n67040 80163\n19743 47192\n3735 38676\n27919 92310\n14203 70430\n38419 68244\n94612 97465\n4834 7014\n21688 31946\n22147 73016\n56477 74228\n49321 73624\n76007 90430\n28619 35185\n64685 96075\n62040 91246\n59351 67861\n52411 95456\n141 85056\n17724 28871\n59568 95517\n30505 38577\n45146 66838\n3989 46784\n19880 46221\n6461 73108\n18312 73132\n24122 56142\n52381 53213\n44293 85868\n32104 73267\n12665 79263\n74763 79241\n18484 52662\n1282 55267\n77760 86172\n7131 56028\n76320 90199\n68018 84129\n75268 79229\n13187 25451\n81160 89018\n65398 69204\n19935 44969\n23175 72768\n54117 86500\n25501 47752\n10449 45120\n38763 47216\n35804 90993\n38595 61098\n35484 44885\n42057 62476\n67357 97547\n46517 86560\n29985 56223\n15160 68385\n63327 72113\n47483 93695\n34635 99552\n37603 97017\n23386 65268\n59722 97641\n920 76441\n60992 92432\n6066 92090\n23357 89336\n39085 47224\n17157 40455\n14347 72898\n81657 92212\n25785 61231\n13796 44008\n10212 44407\n61456 63158\n57620 83885\n42936 71070\n67117 94105\n28736 75548\n36624 75261\n32646 40943\n9952 57715\n15180 71569\n11828 52280\n10290 19299\n7059 61215\n27166 45497\n91782 94851\n46047 66249\n8424 58333\n2110 77533\n89474 90518\n9069 67730\n49030 73147\n61162 90249\n44516 60108\n83680 90424\n1538 33994\n14044 52886\n75235 84036\n33162 93135\n107 42756\n23067 30745\n20902 55266\n21544 66410\n11357 73234\n60108 94566\n250 79298\n10289 83905\n35086 41194\n41587 83861\n93812 96990\n12479 21990\n8992 34648\n78876 84080\n3543 74374\n23404 45628\n431 92770\n66311 97908\n38409 87514\n61174 93517\n17501 87396\n59385 96763\n19416 78131\n35444 56578\n21006 22656\n5165 28734\n42998 97518\n55296 68546\n75387 98742\n93820 95467\n50526 61984\n12038 77359\n29910 34865\n77727 98865\n70620 94253\n53038 68038\n36962 71288\n24382 94454\n28110 38678\n47088 51147\n44691 54933\n31153 64935\n18475 51324\n42181 52025\n41071 66678\n28723 47597\n9116 98397\n11886 56177\n44886 88461\n31101 78544\n49195 78527\n10900 73357\n41260 50999\n24460 91321\n42612 52166\n31362 36272\n38274 67168\n85752 86842\n18455 72532\n49470 88803\n10539 63318\n4903 23754\n5864 67550\n45851 63820\n55567 97971\n7891 94393\n6833 53409\n49597 72371\n39188 40961\n23806 53993\n38186 49820\n20039 80747\n72864 90365\n54498 59620\n37614 43178\n20610 39641\n9435 35597\n42851 95034\n20360 51807\n10670 24846\n14054 82307\n2567 97567\n2036 78086\n26314 46840\n68099 69788\n25612 82532\n13427 21032\n17550 82690\n30089 91521\n2979 85670\n68509 99175\n44926 89008\n35881 93606\n11122 32178\n30075 69791\n21548 22688\n114 99557\n45183 60660\n12320 55109\n17500 43727\n72319 90233\n364 84191\n13179 45785\n7010 95932\n9830 55957\n49549 98553\n17543 76423\n46168 90337\n57605 94801\n14530 26276\n84168 89535\n16348 38181\n54799 60837\n52310 53987\n20333 61163\n13879 78002\n25092 35902\n12216 35800\n21438 31219\n1458 13159\n46604 92636\n56987 71064\n31040 84530\n17666 77780\n84820 92447\n18624 76396\n48343 87002\n57312 69906\n20035 55271\n71133 79336\n25020 63592\n81083 87942\n25271 50875\n90411 94816\n25661 67373\n3054 78426\n44982 78139\n68165 85475\n29648 95383\n42850 61936\n3229 39602\n18607 96318\n6011 37010\n27322 51853\n64965 97870\n37318 55600\n49549 65097\n84925 99346\n21768 77640\n25648 83238\n11058 49374\n51444 93198\n51908 63298\n10120 32566\n67671 80989\n3719 39770\n45510 91063\n2527 40168\n27094 94071\n49267 59140\n53168 53570\n33806 77037\n18348 45853\n4159 81733\n7880 24297\n31604 33357\n72164 93323\n20042 52321\n5177 67753\n26018 27816\n49678 73693\n14144 48752\n10310 97114\n26997 88144\n7101 22819\n67236 74119\n72315 85617\n586 13768\n23165 48400\n41120 48386\n35683 84339\n47077 84993\n1171 49077\n19752 99951\n34123 42615\n3124 24897\n34582 53324\n35895 59173\n53124 56738\n25812 57049\n7162 75311\n19608 48455\n61712 82543\n94771 99455\n38749 66850\n31726 98410\n46117 98220\n21199 67962\n3087 58315\n37992 79802\n42326 91933\n32881 66553\n36313 80680\n43290 60948\n70892 74516\n2453 88566\n2652 86330\n21219 85660\n34938 50635\n66545 99531\n7236 99784\n22228 60590\n36043 89622\n7302 32413\n61853 81443\n83993 84785\n50539 52616\n31347 87297\n27209 42267\n12607 79709\n8463 87971\n9819 68337\n76690 81154\n47016 95568\n55989 89223\n39701 81634\n87081 88053\n73486 78303\n53108 68118\n65072 79678\n52697 94157\n42917 68131\n6972 89278\n10309 41834\n18836 41669\n28297 77434\n80037 82086\n36282 95538\n20166 52469\n20248 22689\n40287 93071\n59722 90205\n54845 85393\n17466 78210\n66527 83216\n57180 97959\n23073 46352\n64043 98502\n1739 8116\n9589 49030\n30891 62014\n23837 78580\n21514 98854\n31603 89339\n33920 46858\n74605 97928\n53245 82766\n71 69617\n17532 29215\n34435 65588\n68955 89842\n9310 84625\n19278 63900\n19527 96386\n11086 98115\n43173 87989\n29237 35877\n9369 41692\n47213 74582\n18156 33479\n45825 69423\n5499 15827\n6571 10886\n15989 37499\n64489 64753\n30584 78855\n80962 81034\n64818 70724\n72399 84674\n13694 94882\n65390 97361\n1546 19014\n51557 74595\n71827 72037\n58166 71215\n7381 70528\n21357 91851\n13206 89301\n66979 86570\n51387 81703\n22473 47232\n18630 84488\n18550 64708\n2200 92553\n82981 84814\n15708 30407\n46612 54312\n22530 78823\n6331 49949\n24978 94383\n14301 44402\n57998 97787\n63256 65755\n9778 56683\n5196 64561\n5841 95537\n35154 87741\n33768 54801\n9200 22408\n50594 93245\n13748 23969\n46891 99798\n50548 91446\n8274 91015\n35508 83986\n56474 70579\n61764 82196\n64504 95888\n69067 86317\n15359 44258\n27738 69367\n2790 95337\n17538 29606\n89198 89746\n34731 85364\n23886 40180\n36229 66022\n15047 93203\n34031 63299\n16758 20129\n51463 52756\n25964 53451\n49762 66652\n15751 17372\n12379 24469\n56417 65021\n38874 90970\n6464 69575\n87475 97417\n74559 91946\n19090 46397\n20708 74968\n31547 77913\n53505 60327\n42223 64195\n27721 48542\n8075 31103\n27709 89767\n23374 32276\n35963 38885\n40792 87950\n75994 90839\n29836 77505\n47774 51400\n10657 53777\n24577 53267\n56007 69092\n28421 38386\n18065 31503\n26587 50890\n5454 23717\n10073 11191\n26951 27265\n91722 97005\n14698 76927\n2471 22428\n5075 10460\n14782 50453\n16379 74255\n18623 82189\n28709 37139\n4471 76699\n10718 32821\n6498 14657\n27229 89050\n80380 90334\n10573 63676\n61961 81903\n88575 89055\n12820 92099\n25231 47744\n15570 76378\n85503 94398\n52245 54269\n7302 46423\n5573 31825\n24560 43551\n2802 74289\n80663 99607\n13035 87819\n34769 76375\n37884 77194\n25310 26923\n42553 47591\n1848 8820\n22064 42689\n53968 76790\n51214 81413\n39004 87438\n47907 53300\n26080 60470\n44720 94142\n8948 13762\n29891 73790\n6202 78853\n35821 43949\n25587 30462\n70718 99202\n24353 58522\n58650 87197\n63564 76647\n10429 33577\n16462 37732\n70652 81559\n23414 65597\n86356 94213\n54791 84428\n1083 25238\n64267 87074\n20135 97636\n29210 64486\n911 22123\n13171 35461\n6275 47344\n15562 86354\n1295 37009\n7213 97527\n13054 71113\n64379 82682\n46294 89855\n37455 43996\n58480 76779\n1391 84344\n61579 89961\n45810 66892\n54409 82312\n23864 74599\n22956 25437\n35052 60826\n20460 98237\n61010 88280\n79737 87996\n56959 95925\n52491 87481\n9250 80942\n29415 71590\n46893 69708\n24908 47769\n24701 68031\n828 79328\n33825 37668\n21622 37663\n57596 92319\n25543 38346\n37149 41221\n55051 64139\n7137 57727\n17627 80957\n22438 76730\n28408 41384\n45031 99072\n76634 96910\n3632 57992\n27854 39661\n74928 79763\n5089 23786\n11807 82843\n53442 68416\n34738 39056\n32279 83688\n32298 78931\n70556 81768\n25081 48289\n42766 42913\n18667 22049\n56610 64728\n50725 66850\n65922 99664\n52752 90601\n15174 94017\n43463 60252\n56019 81068\n9944 69594\n38535 78251\n61784 72868\n25515 95451\n5974 43198\n3921 41442\n5394 47446\n39417 96637\n62724 77028\n21057 55141\n17139 43497\n18539 64052\n41053 63269\n51993 77014\n46314 65288\n32079 47992\n24917 26033\n36241 44654\n53888 68459\n34223 65166\n18392 76446\n57305 57807\n19516 59956\n2216 29113\n11104 30522\n37298 86578\n7739 78419\n20174 55753\n31226 57407\n16646 83941\n96046 97911\n8941 33247\n7258 81561\n14082 28386\n9757 12420\n50258 60299\n55033 68454\n48404 56977\n8759 78227\n1406 71016\n55016 75044\n19418 87518\n43632 55609\n18689 77994\n19805 40694\n4144 26398\n3867 20575\n49925 69128\n59784 82317\n50451 94844\n47622 99461\n26694 99324\n13284 67554\n77885 84512\n3724 89316\n1111 1724\n4725 31243\n32599 99571\n66320 80479\n25090 72343\n6575 36569\n4258 32728\n72357 95260\n94062 97701\n10323 26799\n19594 43212\n30527 99829\n11810 96129\n8670 97877\n37697 63628\n12128 93233\n68539 84666\n19402 53910\n1216 86364\n81370 87516\n36184 87048\n37163 58186\n3038 95127\n74244 94528\n31885 46961\n57073 99820\n54529 54747\n63320 84612\n6785 73675\n4961 38861\n4406 27627\n19198 49330\n33742 33912\n38054 51800\n23349 25897\n34839 45625\n7063 12061\n11312 35738\n9230 24582\n25148 65643\n43108 46455\n69679 76540\n1542 44729\n32519 90806\n50327 79761\n15862 60846\n34937 75670\n57604 74886\n63765 74612\n63008 98759\n40538 82888\n6719 65495\n31322 50848\n70745 76595\n33200 90059\n52449 69451\n24927 62191\n81452 97958\n26396 61379\n39023 64258\n18115 69455\n50920 60276\n54863 70221\n19481 89300\n30292 71630\n22660 64627\n48042 61690\n264 16003\n22771 33482\n37590 54462\n904 60328\n46723 99279\n61590 91214\n4938 37162\n2338 31558\n42001 51370\n7667 80799\n5658 96192\n23791 46053\n17191 78409\n36223 54492\n16847 43929\n2146 35146\n70412 73812\n3496 50109\n8188 33861\n13062 42945\n92 79674\n45572 96069\n28532 65563\n56584 90162\n55109 82244\n9461 9914\n59017 69755\n31413 72949\n63242 97918\n69472 92323\n30989 35830\n92366 93036\n14400 63804\n36593 92809\n12015 30970\n84128 88341\n50528 52945\n32730 64158\n68137 77686\n367 56072\n19850 41208\n2472 6195\n52984 91139\n5491 68568\n8291 79689\n40971 61042\n8815 27850\n69094 72599\n57254 85715\n53192 85820\n44231 95980\n21226 63806\n39771 96961\n83763 98614\n25152 52855\n57638 95491\n631 65599\n6486 47310\n30754 31605\n29688 97861\n276 30730\n113 13005\n52850 64712\n8396 49261\n27889 84463\n43891 69887\n26223 44040\n25278 43274\n9291 76716\n16540 80539\n7773 72493\n50852 82547\n10007 13269\n29963 58061\n56104 88573\n10872 73331\n21348 34960\n61449 78586\n40380 61239\n18890 81802\n61004 64919\n40220 78219\n10364 70065\n21187 65030\n18938 92861\n21521 24769\n10348 75346\n48899 97274\n46633 80986\n20839 48614\n28235 94021\n19540 60519\n52472 62937\n16665 65722\n52303 67932\n37729 94258\n48144 67966\n23103 49576\n43891 60297\n48529 55676\n11858 98730\n45162 97766\n30655 31098\n16287 66876\n68641 74801\n34913 95392\n16477 34832\n32533 41424\n18836 89885\n12074 68638\n59799 93175\n17084 72259\n9894 46563\n32108 44681\n17093 95937\n33803 83168\n57075 80253\n64744 84923\n4428 85773\n45498 58675\n22183 47251\n24336 41657\n23693 58936\n6954 74971\n14999 99884\n57497 93719\n22563 68461\n2497 33557\n33208 65982\n2557 3910\n19226 47370\n46761 55568\n59283 94911\n3201 87163\n8379 80223\n92513 96921\n17443 50187\n8208 43736\n58539 75795\n19438 92568\n85334 86412\n335 45124\n59049 81026\n6917 91048\n37806 50103\n82162 93684\n30369 89212\n219 1566\n1874 63284\n1838 46982\n18280 22041\n23554 33497\n18174 59166\n41596 59831\n12235 55229\n60653 93748\n52529 90019\n47236 86614\n46307 69571\n73589 78800\n31882 83023\n5810 32177\n93913 95839\n2548 90610\n40800 94435\n64063 64132\n44132 56866\n57376 84901\n56697 71313\n12411 19766\n6354 43201\n41067 45402\n30434 47618\n38583 83531\n71473 71870\n30212 92808\n73945 90247\n51603 76750\n40772 46020\n66975 89507\n83317 97904\n19323 24888\n79628 94888\n72539 87800\n2992 30726\n16783 72972\n49128 53914\n46589 60667\n33298 66108\n30123 86024\n82452 95858\n22905 76999\n25829 73264\n38219 40124\n13723 33753\n23124 89901\n27166 84379\n299 89329\n210 91158\n19748 36717\n47616 74098\n15092 51601\n20240 70160\n7057 16445\n26066 64182\n87747 99583\n35432 87147\n26681 55992\n7823 12659\n17318 69910\n1120 25048\n5350 33754\n38207 61120\n3015 24589\n24395 25693\n36545 79860\n57 14842\n55973 79396\n17911 60990\n47076 82834\n50439 99324\n27627 84709\n2200 35419\n43377 76402\n41809 59366\n53299 60764\n30854 95807\n20001 55585\n33735 66717\n26050 54176\n15195 36377\n69 24871\n29254 83430\n45897 62958\n24680 70527\n693 61701\n69197 69212\n16269 87280\n1331 43287\n7506 21029\n50928 85572\n53808 79157\n19032 48170\n59596 70539\n2611 79315\n67584 99215\n43881 46980\n12309 21467\n30318 98159\n20617 79976\n84461 94853\n54876 84757\n30702 65898\n62714 90192\n35263 99643\n46692 73279\n57844 75404\n5246 87249\n47060 77226\n47572 52161\n14827 80531\n442 71311\n87825 99614\n1054 25643\n41705 57758\n22823 36767\n46372 93086\n76836 89570\n43092 58773\n14963 61391\n582 17607\n36456 93198\n9141 31288\n54668 81302\n43595 98222\n8673 64475\n60783 73069\n15074 60280\n10834 80753\n35063 88683\n31347 69930\n45184 73032\n28802 76985\n53385 54945\n11391 97761\n603 93924\n34874 74383\n43748 65128\n66481 87930\n16474 93131\n23425 68833\n1892 6551\n24306 70299\n17881 25200\n12898 34435\n2725 24119\n15675 17842\n5416 27306\n29226 43758\n36083 83224\n44916 65758\n41930 84509\n84785 94140\n6039 43164\n8035 15923\n25290 65089\n2326 11510\n31495 80311\n80817 95578\n29428 69797\n17470 36942\n34599 52759\n19139 73887\n1640 48845\n49126 69732\n20131 64701\n24238 52837\n61170 87079\n6782 33971\n14931 52775\n94101 96393\n35951 58745\n1637 79245\n44431 95754\n37380 41431\n14734 99790\n582 92716\n5407 5968\n24128 71224\n68256 76511\n63706 82931\n11597 80967\n52054 70192\n60126 94303\n20521 33663\n36794 50981\n42816 74826\n56830 90331\n59365 97342\n62236 98821\n47483 80444\n79 83662\n38639 53554\n7824 68476\n8032 32426\n3279 70402\n65387 74293\n16911 89539\n66822 94194\n16028 41848\n3176 24739\n10037 99275\n25770 40327\n42349 49806\n45562 67384\n49791 67023\n36992 42295\n18826 76746\n8183 72859\n55808 65912\n14499 92474\n11347 50151\n54975 73668\n83437 87055\n37548 95748\n17830 74255\n39054 99719\n10999 89137\n18894 40241\n11136 76250\n66903 88297\n16088 99575\n62867 78057\n59139 89298\n5904 36141\n79930 95709\n72877 91970\n26825 95961\n47319 85133\n26511 50158\n18333 58228\n3821 30273\n53518 60610\n21884 72553\n23844 81979\n8761 77055\n30856 58241\n74299 99497\n5820 6860\n5420 16350\n48874 91200\n22893 50795\n26645 43598\n69221 72084\n19242 69822\n1661 34379\n66953 72524\n6924 66441\n10038 23181\n51607 82133\n25136 52056\n5475 51403\n23261 45951\n32064 60418\n37317 79440\n5194 35354\n2973 74997\n29177 67434\n50371 64194\n18762 85467\n66797 82983\n2320 4193\n33307 75225\n77171 78770\n39116 45610\n5141 66715\n67360 87772\n33017 88992\n73300 88839\n56347 92422\n61071 82842\n19065 70687\n28558 55604\n33616 48771\n54113 87555\n35852 49114\n1376 28874\n21471 98766\n30094 36489\n1706 67484\n20066 42328\n1764 87871\n21339 91337\n7630 15952\n48959 97368\n5397 74955\n26870 70195\n19678 63548\n34618 89887\n44397 91120\n622 68624\n34427 75696\n76699 91982\n22901 42725\n13929 16572\n2146 5542\n53853 67913\n76791 93050\n8310 80521\n9020 81195\n9991 59215\n36820 63609\n47284 48763\n4154 17750\n3029 33441\n20651 88376\n44875 62094\n45831 59277\n39070 82154\n90498 90765\n23971 51438\n31217 37596\n67186 94147\n12951 26487\n25297 77687\n51864 72594\n46538 66257\n93420 99687\n65647 78961\n39190 67704\n27438 46984\n19997 55353\n8903 11154\n3116 24875\n46856 61389\n5171 81569\n44714 89786\n249 94803\n7896 91687\n4928 5046\n7083 43778\n33469 90629\n39943 72057\n127 19745\n10979 88913\n82458 95424\n22120 54543\n12489 97936\n42344 57391\n24920 99510\n89236 91381\n125 816\n47900 68299\n27153 98998\n49334 94408\n1382 71313\n34607 43465\n83187 90882\n23246 87019\n26988 76946\n53488 75535\n51769 59320\n22732 65779\n24861 71503\n4307 43626\n12414 25525\n64082 71876\n37705 61694\n37558 50103\n10791 16024\n22558 51116\n3977 39739\n44754 98601\n45019 82052\n12662 17773\n38660 71572\n39309 68643\n9541 75308\n9188 59156\n31713 57973\n7505 90063\n92280 92704\n21114 21225\n10107 60428\n10911 19298\n30227 86995\n19906 96025\n27640 35608\n42931 52336\n21803 31212\n13752 28961\n29725 54708\n5353 69166\n35807 53067\n80132 86045\n50469 77541\n4391 10850\n36924 94826\n26900 60341\n37811 47650\n45537 45670\n10553 17228\n34190 48014\n9140 14592\n5552 29688\n41884 74604\n86955 91967\n19445 91921\n15716 17712\n59441 83861\n4162 13734\n10166 34026\n70169 73828\n35287 64701\n74067 94912\n62499 98752\n71925 85318\n19881 80350\n16954 78254\n5541 16270\n10888 14250\n54977 70737\n19763 48277\n5216 88646\n77982 93738\n41398 65999\n20164 28992\n46705 87063\n50691 52156\n32549 41320\n19642 80319\n12188 42306\n7993 86813\n3082 3980\n17149 57094\n38885 49092\n43908 65003\n15270 79215\n77358 98193\n77857 86758\n35966 55010\n40778 63628\n19598 26202\n20382 97945\n81188 94070\n22972 41594\n41297 43951\n5136 55036\n14027 54078\n62190 97272\n33937 70231\n35967 51795\n7328 45732\n40936 84084\n21100 76303\n29940 81774\n57627 57975\n88534 89214\n55148 87813\n2755 37069\n9604 30227\n21838 29614\n6779 25111\n41123 74736\n16615 54199\n2723 80233\n32594 53463\n26812 30212\n17946 64947\n9414 52833\n41150 46048\n32658 65921\n36355 94291\n27924 51517\n73204 93863\n8598 85967\n61386 85256\n27115 64271\n7037 33581\n42942 46804\n19654 87850\n4062 63568\n33439 50089\n15768 69303\n14046 93063\n12492 43780\n24872 86338\n2902 15407\n27088 56414\n24323 94376\n39903 78565\n4969 89833\n2844 46705\n21906 43255\n68392 79911\n17560 94829\n18802 69821\n49637 76298\n43058 92673\n6852 11456\n24721 32672\n5668 86699\n4280 44192\n18379 21324\n64132 81804\n58193 77146\n11727 55024\n37209 37924\n57695 80440\n12378 26517\n6094 70666\n35716 40223\n59935 65395\n11409 71412\n14984 18968\n73341 84908\n9315 26085\n16024 47285\n885 11943\n6926 72361\n2453 59173\n6502 23838\n24909 90453\n25086 86227\n8956 79295\n58146 75301\n25295 44352\n12666 60468\n18032 63390\n2566 88333\n91749 95196\n28606 98462\n14914 61714\n25023 94906\n11688 87022\n13339 36820\n36677 81140\n10797 11838\n49971 54895\n64708 66188\n10198 96146\n35180 86187\n35892 91152\n14451 71922\n2040 90629\n39873 53390\n20802 33035\n43169 77802\n10228 68766\n43988 71029\n1830 24111\n54569 81373\n28218 48322\n53992 64834\n21467 27272\n81183 87434\n35251 75620\n74866 96301\n32242 36482\n56670 69454\n144 87379\n31849 45780\n18290 73642\n10684 92388\n18833 90609\n36633 57053\n30785 77696\n19091 72958\n29160 63787\n7025 82105\n28764 99521\n16370 62259\n13121 87637\n60602 78917\n10060 73906\n15464 75134\n3182 65327\n43519 96816\n24617 41955\n48587 72870\n47886 85077\n4405 6462\n10986 78946\n8130 52698\n23790 98147\n19195 84782\n2085 89692\n22608 33494\n4149 50345\n83331 92404\n50229 84845\n9375 37222\n90295 92681\n19774 77042\n39154 90363\n23556 42031\n27498 55430\n23380 92288\n17402 23811\n7036 84623\n68665 82210\n68829 86262\n1554 53905\n67090 69410\n12497 45417\n7486 35908\n32717 49192\n9098 18077\n6654 54404\n271 6363\n61539 70940\n70256 81928\n23260 64458\n21613 72850\n28471 61960\n39911 57890\n16312 57248\n85520 98732\n35585 54497\n55816 96300\n31721 55996\n31387 65649\n15423 99179\n5242 29126\n25140 48020\n45478 77834\n55146 91652\n16728 60393\n54415 75474\n40496 73248\n20899 93445\n1002 30232\n43166 75270\n20873 79567\n11076 38648\n1176 22754\n23175 44143\n85388 98688\n28485 43399\n34521 94111\n26555 93335\n49760 78811\n74690 97970\n17767 34154\n50860 83987\n9243 75446\n90808 95308\n25935 35682\n19306 23618\n3378 35969\n812 38109\n12463 50388\n1043 6322\n10191 11223\n58311 62450\n35010 47641\n30035 73917\n20371 43326\n67510 88278\n24048 83215\n84009 99556\n713 81647\n62132 63153\n89371 97909\n81499 84120\n3767 26275\n67046 93925\n8819 74935\n39616 41136\n52821 85074\n34476 53484\n18022 26701\n7988 92514\n26330 85575\n24350 92050\n67428 68940\n51206 84133\n4075 94148\n4222 89564\n31231 68056\n59699 95099\n80127 88945\n9027 53549\n16964 20655\n33769 69883\n65247 98252\n1578 70628\n13475 19553\n40755 52468\n29837 91888\n53038 77321\n38028 44224\n180 3179\n36471 99332\n72500 73647\n56287 93841\n9034 9157\n19405 95140\n20847 96947\n36055 97861\n53741 81215\n5175 12070\n60800 70297\n35797 57217\n3483 20293\n13208 99974\n74256 88431\n17825 93157\n71544 84834\n65135 65439\n2999 49243\n74477 96312\n44846 76683\n39748 98864\n11519 31856\n25562 30224\n26894 43455\n49984 51223\n11817 17661\n3697 35510\n40396 95353\n29708 41190\n22113 61634\n27017 91100\n43456 93638\n3334 66671\n30270 63184\n26268 86494\n34504 76196\n10577 50809\n70543 89385\n37209 66477\n11139 57575\n4020 64391\n10955 13144\n9996 57124\n5378 31738\n20474 89323\n39942 43191\n53816 95089\n12726 64319\n10152 98308\n7685 27588\n35012 94102\n66731 81156\n5584 43184\n34187 75702\n17364 84962\n58238 62345\n15436 96639\n32866 88252\n993 46519\n56525 61326\n15377 42319\n22637 61375\n10585 44121\n56207 60329\n12523 88155\n20900 85906\n14596 68197\n3325 98300\n12819 63549\n4654 44681\n14631 54429\n16982 26835\n332 6213\n53808 56376\n74139 85209\n8726 71417\n27462 45304\n44741 51119\n54944 55986\n49336 99249\n31751 71102\n53552 77210\n69843 92630\n39660 44087\n7749 73486\n616 52793\n38084 47074\n67921 87155\n6653 9155\n28466 44373\n55 90142\n21775 48851\n47039 70006\n55906 98247\n13763 59856\n7346 70124\n16992 47627\n19571 79984\n2124 75307\n7352 94341\n25170 94082\n54926 92632\n63204 82851\n72835 84071\n15756 19340\n61186 91753\n47597 59469\n40338 93341\n73753 92264\n80512 80837\n39179 95386\n58002 89900\n741 39563\n11661 54763\n23960 38256\n59198 87561\n391 15641\n40444 67177\n36605 78650\n36878 56889\n27036 53772\n2332 75546\n35013 46725\n18255 94242\n48689 50200\n35764 56920\n30501 59910\n26726 95568\n9080 70083\n9251 98236\n44465 69650\n8703 68561\n2163 65206\n11650 40879\n26213 67657\n5755 63098\n34911 68115\n35673 49860\n14312 83987\n47761 63476\n23389 51659\n14453 53708\n2020 61936\n69585 92421\n9522 29855\n22801 82675\n31450 68551\n40893 49349\n89438 98133\n45560 95145\n44802 47553\n40699 82358\n52090 54564\n62481 70838\n8070 77826\n28105 48687\n39985 77397\n21694 60460\n7 20793\n36230 88096\n44071 62147\n35589 55486\n28924 46494\n13395 68256\n5643 31893\n15321 93432\n38906 40207\n2411 15896\n80806 91673\n2858 43391\n33402 80909\n77161 98873\n41111 51943\n56078 96374\n88685 99052\n7521 67403\n867 52640\n15666 35569\n86405 99275\n56299 68932\n48588 48903\n52898 57008\n12939 86523\n64174 87452\n55141 97979\n1703 95242\n13918 89149\n69733 90569\n62786 79586\n11323 27392\n267 85686\n43350 92132\n52727 92952\n20181 29989\n76419 77527\n16653 21601\n16023 95821\n29460 68093\n15924 57527\n34271 47327\n28611 82645\n56693 93990\n86123 98955\n72233 85347\n4779 71324\n50738 74300\n12660 36907\n60527 71215\n27235 63922\n5048 40248\n61710 85074\n22791 69391\n48673 62636\n41366 70478\n3772 39060\n38626 79961\n12298 81296\n57995 77504\n9709 29808\n5799 16167\n14141 26321\n17748 22214\n6246 15637\n42599 76047\n49750 94804\n19107 52763\n21178 85508\n57742 77537\n293 10157\n51613 60570\n50688 73652\n11283 27448\n74052 75339\n11944 74384\n48394 64343\n37098 93527\n35914 64969\n78637 90558\n33743 77872\n14378 66425\n23384 94555\n29989 66680\n19047 96603\n3194 80750\n70293 72733\n64768 81208\n62645 63838\n12157 31035\n60312 82331\n56398 86738\n16193 31098\n73874 78898\n75887 94357\n612 43419\n7343 44804\n29134 40040\n18845 44653\n16200 64497\n62976 70991\n50077 78493\n3926 16990\n512 88463\n44238 44689\n803 67895\n44583 95078\n30200 72421\n55497 86773\n53860 89691\n54187 59857\n45435 79651\n83403 84766\n8106 81747\n72751 94686\n41330 55417\n40428 80181\n14691 18044\n6076 97593\n17291 47718\n73969 90992\n38630 84614\n29395 41241\n13265 48733\n6239 25593\n12817 33379\n37759 44596\n40941 50770\n21135 99403\n2186 49560\n2332 19532\n18560 70301\n29556 62347\n42054 54657\n22007 30846\n46191 48285\n37665 72901\n64484 80743\n13122 49649\n84079 96155\n11416 26986\n82767 91285\n53 58985\n69716 97556\n77347 96737\n56106 78418\n72595 82013\n26928 64357\n48803 63219\n21414 21903\n3506 61937\n27090 40103\n11017 34713\n60537 62331\n59968 61868\n28215 90730\n2341 62513\n82643 96970\n32550 75297\n21338 80639\n29469 49962\n34883 47474\n27345 75352\n17402 38288\n62128 93930\n4117 54861\n144 65426\n47969 86873\n25095 45946\n2399 40294\n9058 73474\n9224 34495\n71782 81635\n19446 37767\n23957 43493\n12039 76178\n15549 68488\n56815 78161\n50825 54298\n9230 76057\n26272 96699\n29858 78529\n34139 81987\n20375 47648\n4495 81916\n57998 73800\n70737 85118\n53959 93592\n376 39048\n34349 52186\n26177 90054\n18876 90783\n10921 84623\n28927 64232\n265 42514\n29163 72788\n32236 92541\n29430 93207\n966 49169\n34118 80045\n64726 78517\n85581 93717\n7387 92104\n18677 45223\n88394 97474\n7083 55106\n64043 73848\n45895 73866\n23399 82893\n25745 68963\n39127 66899\n3576 55329\n13618 99584\n65433 87399\n36461 59936\n89396 95182\n3042 47447\n25973 49390\n14142 67039\n32319 56700\n34855 88606\n34576 91134\n36096 73294\n35304 88380\n48429 75985\n401 26763\n7998 23004\n8764 19930\n1480 81952\n26864 46864\n25758 68203\n60295 82494\n28704 83685\n26639 71357\n5596 79087\n6097 71546\n3454 45459\n14170 89986\n35996 90936\n13583 34832\n6328 18921\n15594 42095\n19418 50027\n32582 70577\n11128 11656\n12441 86810\n28131 30803\n33325 83061\n74150 75595\n28039 39269\n78617 88587\n27663 60792\n41499 94540\n36262 39825\n24869 77983\n27599 87658\n66465 92116\n30337 82024\n93560 95051\n16204 30500\n17478 88248\n75119 99785\n11787 73100\n27792 68579\n18634 58314\n57252 97712\n7617 28690\n20901 51319\n8239 77334\n20467 50894\n4948 51059\n48763 85565\n61836 70257\n2818 59372\n4655 73021\n38650 96346\n72914 97049\n8435 9942\n34028 39174\n19742 22673\n32866 46762\n57313 93104\n6895 7076\n4372 71259\n20020 35597\n41269 67599\n70646 85478\n36208 68869\n5335 41391\n32518 97574\n62931 76897\n12363 72382\n33751 57215\n26171 30616\n13924 61691\n94882 99716\n89300 98367\n10751 50176\n40613 66716\n41342 99518\n75164 95383\n71325 80621\n41850 90276\n52840 58876\n41270 57590\n15570 37140\n36191 59844\n42341 73841\n17100 26315\n46987 88488\n29324 66910\n78445 79609\n72289 75671\n28824 34746\n50215 59230\n14204 86089\n56019 63048\n3260 54630\n18138 90584\n21849 24583\n3016 22618\n36636 86121\n34188 96035\n69843 86474\n56710 69583\n43087 87938\n19730 44596\n3201 63345\n6090 22374\n1945 11482\n8065 82135\n26867 34474\n26242 76330\n2587 29139\n20701 85723\n32650 55570\n9421 45536\n37751 53070\n85547 92576\n44041 66246\n31514 94519\n37995 63396\n43150 60066\n62087 98614\n37357 91450\n40841 76633\n78007 79175\n11785 69868\n54761 89470\n5671 46823\n4125 22580\n9835 72252\n71789 80840\n15802 63338\n9776 59666\n25628 84390\n58538 91935\n17844 32929\n47410 78324\n44413 52318\n12119 76790\n7839 90583\n16073 83819\n18380 70976\n58191 81712\n25840 52651\n1765 22195\n36883 73320\n61120 75110\n67781 93550\n31054 42537\n72159 88854\n36623 51225\n49984 78887\n31802 89546\n13802 78273\n47875 92569\n25469 73431\n75749 93437\n1839 30299\n84772 99119\n20177 24317\n44925 54885\n12079 97075\n51586 86653\n10513 27201\n1273 90967\n9893 11243\n28166 49397\n9669 92749\n19030 83050\n12993 39855\n31585 35165\n74992 75859\n43417 90400\n85405 96853\n62491 85082\n25566 55986\n64147 85366\n4365 40226\n20660 99043\n2759 12707\n66007 96010\n53146 54632\n28522 86655\n18536 20614\n6432 6878\n62801 97318\n8300 14015\n49122 91228\n62751 69076\n19080 84642\n62637 98893\n41341 56007\n25905 66245\n31653 35326\n37207 93683\n64252 66624\n3364 92716\n918 26252\n23911 90002\n20816 64498\n23324 98464\n63786 92596\n33175 64842\n27067 65222\n47278 56872\n42419 57871\n69092 81393\n66837 90074\n45773 81418\n27234 55741\n5574 93651\n36767 69307\n77179 83812\n31239 38671\n3150 3495\n3175 18659\n1218 43232\n52817 86585\n62561 62800\n31460 38420\n23549 46390\n11760 22147\n5976 54904\n4053 99470\n52864 81052\n7781 45424\n46892 69908\n58141 67337\n14395 88293\n20111 66535\n42932 71705\n43334 56347\n59803 60231\n39228 50086\n24578 30422\n45188 76234\n43395 86870\n27057 86839\n54670 91611\n3520 17691\n25550 56711\n68270 76011\n11946 33633\n11065 46863\n18217 27136\n19266 67158\n9061 10919\n15231 66872\n51375 79351\n45605 61891\n16737 68489\n2359 48040\n69809 91995\n5967 89677\n6576 91207\n51077 66585\n43523 56320\n19233 50127\n46462 61122\n62221 95234\n41062 91694\n62429 64223\n70977 73303\n29787 40032\n22467 84383\n45390 70924\n16478 45833\n341 14928\n59156 61191\n4395 14374\n72850 80744\n11066 72930\n44769 95014\n8683 52895\n14398 52988\n50301 69948\n2655 62677\n15257 97483\n3609 93892\n43522 70624\n5620 27498\n37434 78948\n53272 54502\n13683 22448\n38760 68523\n14035 93362\n8641 11294\n21760 43483\n58313 62843\n76703 94171\n47115 85459\n5743 67586\n23258 34838\n23620 51623\n19436 40004\n58304 84807\n53370 61395\n34202 88413\n38761 86567\n35759 89125\n22004 52620\n22493 33275\n46177 54562\n11795 71894\n83833 96492\n19877 63533\n22183 23167\n83990 98050\n56884 82327\n67655 93126\n76197 89325\n12611 18102\n59080 89147\n3189 70217\n8228 18114\n49968 91032\n38651 53107\n41876 81526\n41485 71020\n34835 63037\n7069 43890\n55708 90502\n80380 96175\n54604 99003\n15700 68714\n61255 81035\n662 53815\n156 58590\n54037 82392\n40740 79765\n26444 47125\n20099 94549\n6237 84238\n1328 62655\n75221 92332\n22242 55839\n60481 95140\n12189 67360\n46616 83109\n10757 38332\n15392 66284\n6736 84762\n59176 84542\n32280 70629\n12453 43604\n30422 85106\n7240 12156\n3041 55712\n5286 66248\n42449 77995\n832 54263\n11993 47537\n21226 86917\n33899 97177\n9889 79255\n18510 43318\n13975 48091\n33599 66566\n12963 63927\n73964 94918\n44373 76440\n46908 49189\n6959 74310\n9097 38486\n65695 85264\n37044 59277\n13606 68689\n45050 68667\n39481 75771\n75394 93081\n77371 84108\n17356 79543\n56533 86874\n7983 22446\n56110 58128\n70112 94297\n59369 93254\n18952 90690\n49570 80485\n38483 73544\n8124 20029\n77492 91795\n50357 58752\n34049 61693\n17778 19246\n29952 75793\n2778 61288\n17894 41412\n22211 42000\n35620 75518\n31117 64311\n20460 95642\n66824 79149\n65409 78347\n5464 50789\n1553 15218\n51769 56380\n19535 41962\n3114 6903\n20398 22128\n16653 80764\n18977 31402\n13744 21202\n17064 40388\n14807 90644\n47019 74988\n70754 83860\n20023 35945\n19884 69113\n30008 72231\n5506 59485\n48335 77100\n32209 97956\n3765 60717\n55548 98012\n93171 96721\n16486 92607\n83809 88771\n18169 22971\n6327 98349\n31964 56269\n85875 96316\n26328 97723\n66062 91415\n53940 79285\n29159 57596\n78633 82931\n45158 87596\n3381 75777\n32761 94083\n6017 58404\n19818 27128\n62062 90026\n21359 65663\n64825 86740\n53706 68594\n13425 56305\n2066 8630\n21816 94639\n29536 54786\n29632 78529\n5299 46366\n32896 77346\n25438 76975\n6547 40890\n20463 70427\n35331 45317\n87879 99536\n40307 92205\n10046 11099\n31620 38462\n53522 56992\n2970 61518\n8263 44342\n23083 70954\n10153 84846\n6983 90144\n10075 85048\n51330 80361\n72090 80034\n50485 56430\n6821 40741\n56739 92414\n12664 66397\n5803 31159\n60183 63004\n60965 97330\n12896 51980\n1224 26785\n9931 83213\n3394 85816\n22030 45699\n20523 73518\n7651 60486\n15301 69985\n64085 96729\n31314 93789\n18446 83526\n51410 55549\n20673 97107\n36318 54424\n53577 73510\n20222 56284\n45678 74225\n2408 81105\n16832 70795\n19964 78102\n63290 77240\n50266 62000\n1621 51823\n44554 81134\n45926 61196\n39520 87103\n26998 57392\n70677 97749\n54174 83088\n87743 92224\n10061 43869\n7437 22576\n34291 45433\n275 79800\n48061 83100\n32398 74811\n24527 26847\n36756 95871\n25265 36621\n61263 88789\n71411 79546\n88856 98546\n19272 59688\n10205 14170\n32100 60412\n20075 22569\n48472 66333\n78249 83114\n41437 45020\n30312 66266\n12200 23992\n1571 95924\n70484 88336\n13155 51966\n19592 91216\n61418 70370\n26180 40323\n94401 98734\n50521 89610\n33918 75028\n4970 19025\n20684 64496\n20902 70602\n48651 52352\n42190 65407\n35740 86460\n39078 64839\n20050 48262\n22946 90051\n39475 40328\n28913 63310\n76561 77929\n19327 68924\n32283 68215\n39544 63138\n66510 67717\n10159 62995\n19535 36641\n55057 59536\n10431 70516\n44306 98872\n39831 62621\n28082 30572\n15537 49022\n47152 77538\n57083 58725\n25309 87406\n58056 71899\n31145 44574\n33366 80812\n52590 54699\n18699 77398\n8620 24835\n34768 80268\n6067 17907\n42629 96781\n16613 77290\n65254 70347\n51191 56750\n58250 62976\n5620 62913\n54901 59907\n14318 21363\n24422 97688\n30035 76263\n43839 85651\n20570 79744\n34433 49813\n5569 50742\n83983 87291\n71238 92018\n51107 85247\n70474 95043\n1821 98864\n28802 62275\n34266 35110\n898 69558\n27314 54793\n4278 42962\n34453 40958\n85139 88018\n2072 50338\n60526 77991\n71547 71764\n599 29437\n32006 47965\n49485 77670\n36961 82493\n96861 96862\n30702 73076\n8563 76644\n63125 66511\n41269 98181\n49163 58765\n17915 41941\n55789 62191\n9324 41266\n3156 27398\n31207 47200\n7565 81209\n5608 14775\n14153 81842\n1636 23954\n45476 91334\n17435 94155\n5978 19320\n3371 11784\n6468 88470\n47570 53252\n20458 24637\n5231 39433\n45892 55343\n4094 45801\n59453 81942\n24654 31709\n21228 44812\n1936 98275\n73455 94881\n14470 27075\n68805 98302\n87125 92272\n12537 26613\n51830 61883\n31485 35897\n50059 94000\n15607 28582\n72594 78817\n31402 66581\n34883 43336\n70922 97974\n6067 10695\n44080 75340\n17422 21516\n38625 61016\n22155 41570\n29861 54951\n30172 79807\n37055 42642\n63720 91040\n18183 20386\n23937 60311\n46507 61034\n17658 98520\n18455 75436\n8148 52418\n49420 64234\n43607 67370\n88322 91930\n1592 80523\n437 15281\n69989 96681\n38780 82471\n1038 97029\n21881 52366\n86953 94317\n32042 47918\n34177 80690\n37443 91292\n46160 58572\n16166 84671\n19483 36321\n1935 32592\n14856 51175\n14443 45014\n57961 92996\n38806 55246\n29599 53011\n28720 60991\n1090 14895\n65202 98688\n951 77038\n11709 99570\n410 13395\n31917 71107\n29969 65264\n11925 84298\n3555 44030\n42735 51835\n71294 75972\n14636 94354\n26326 81626\n52349 84741\n89636 98608\n57667 94358\n5111 15053\n10715 26555\n82951 84144\n20683 82993\n61150 86982\n31772 62982\n3072 35753\n6784 28456\n50699 70493\n51782 79657\n48903 76375\n6428 24553\n16664 83404\n53938 81807\n27365 85870\n13608 70203\n14111 83710\n72605 96650\n73367 89823\n15143 23427\n51851 66567\n62910 80838\n5645 97659\n66376 92415\n48368 52472\n7687 68191\n1290 72409\n50548 97281\n33033 64363\n40665 41176\n25385 50361\n50139 91073\n60941 65766\n5439 95519\n2069 57872\n60759 94059\n65444 68971\n15961 53717\n178 63329\n41421 98682\n2390 49750\n750 58380\n19297 82877\n1951 61994\n46257 57966\n70873 86294\n10055 24484\n73669 80224\n1664 63709\n61695 84627\n34242 61995\n51746 92525\n18066 40644\n56579 81284\n51548 70958\n44863 66229\n32111 72746\n3951 99406\n17572 42318\n4261 15076\n14471 29071\n78343 90199\n44152 69460\n21806 64943\n80911 91200\n19423 91701\n62364 89402\n12440 28402\n26256 36076\n55454 63255\n11538 60578\n79531 82669\n2253 58426\n40992 76421\n53244 60160\n6577 52826\n30003 95099\n71057 84238\n21759 26189\n613 20717\n24109 87002\n30542 42031\n56061 74747\n19654 29501\n86269 91317\n59472 84711\n37688 74656\n22897 51598\n32614 45370\n50033 54928\n2617 4940\n17251 99103\n33692 69377\n31376 98576\n34442 77106\n65154 66410\n29604 75896\n25359 73556\n26831 75858\n61516 93252\n12835 90446\n26928 51609\n60051 96730\n22981 72539\n1078 91863\n44275 55624\n37433 78382\n71752 85137\n22611 86894\n12691 16589\n68222 96117\n68745 91799\n6446 60235\n59273 72232\n48196 48531\n41572 73582\n24089 40239\n70970 75865\n66360 67971\n81048 86688\n30258 40028\n31313 79994\n19970 41982\n55449 73765\n47843 59277\n5232 19297\n1693 31097\n52983 86761\n1919 63414\n19885 46465\n18025 84324\n83307 98673\n20568 82140\n6087 20310\n68074 79071\n67181 89468\n3391 40754\n27511 71836\n41932 65346\n40788 90752\n4399 31678\n5404 66937\n80014 87090\n3922 9315\n9113 50072\n27102 83997\n64144 65416\n56434 65788\n1191 40293\n56016 78331\n53986 77006\n16892 63132\n20434 70188\n6058 34433\n21804 93761\n28725 53838\n81912 88952\n63337 76652\n40403 42667\n69853 73707\n13948 33653\n77459 89315\n20521 79756\n60346 79464\n35978 81081\n735 44047\n13882 19726\n7614 40915\n54193 71890\n30448 54057\n59360 99459\n38847 39067\n18117 88272\n48510 78305\n29182 88445\n63219 78855\n5590 52572\n5575 95007\n42193 78927\n21980 67028\n35629 83387\n84645 99880\n8208 9008\n57735 73891\n26113 61868\n8202 25507\n30732 81919\n3194 14296\n15637 47492\n33300 90347\n24288 27341\n35565 49502\n10283 40301\n42356 99749\n13662 62032\n30827 52581\n83390 94070\n60054 80579\n67823 84231\n40540 97309\n54486 65411\n11255 36520\n27894 62263\n66061 89463\n3601 68931\n2929 59658\n55502 99916\n37195 65015\n95592 97514\n1208 52008\n49297 98059\n4376 42766\n5765 34962\n85427 87631\n62764 85635\n244 50490\n73270 87564\n38877 49129\n7545 20832\n22765 85986\n84502 92590\n55857 85292\n15139 97889\n5021 18234\n47545 92765\n84456 91479\n16369 60922\n64024 78412\n48812 64858\n22614 52260\n12998 39745\n50926 99510\n54732 94836\n66277 94379\n31866 96922\n5982 57543\n22872 77354\n29587 85551\n2557 3888\n34951 46806\n57972 82950\n40322 48446\n9928 96032\n15433 91843\n24165 67677\n53995 77208\n81917 86538\n1293 41478\n16778 45697\n43119 60029\n833 67430\n55835 68608\n43643 73976\n9778 15222\n10732 83033\n46480 54829\n41343 61500\n37109 56395\n32473 88774\n61937 97124\n32633 91545\n10917 34145\n40675 42608\n13889 56443\n81828 87053\n37605 66363\n4368 64713\n21979 91610\n56298 79463\n18702 93044\n83417 98551\n11528 73712\n27344 52936\n42865 69314\n51101 59267\n17373 78645\n3333 51758\n28676 92073\n90826 92688\n28550 95747\n8884 45854\n75787 96413\n77737 93245\n26868 58879\n27946 82069\n56136 64741\n274 7588\n61847 75893\n72418 81728\n6035 63095\n10708 53999\n15894 93424\n14784 61194\n60773 91636\n57784 81357\n2205 24701\n52056 53605\n11487 57019\n42178 79514\n42322 86172\n22497 33599\n31724 35899\n5443 80032\n45816 88101\n6609 85451\n75806 96921\n30410 94663\n52629 53046\n4749 80033\n78724 88967\n58547 73948\n45493 86103\n16428 48792\n43146 62089\n8791 76784\n6871 24758\n68480 88193\n68069 87378\n52711 80633\n89299 92105\n44148 88076\n30023 50140\n46557 48663\n64135 71055\n55406 70410\n12151 36165\n34981 55778\n19339 64677\n8979 67163\n66904 85394\n41194 85816\n33174 64330\n27145 88019\n15682 31203\n13953 57032\n39158 88269\n49497 68958\n72340 74492\n35009 64293\n7687 90609\n538 38366\n23825 44094\n39399 66002\n40539 70622\n26129 99552\n50211 79738\n71219 82394\n52477 81187\n15364 16783\n85598 97397\n608 7282\n2085 66746\n18607 48261\n70972 73699\n5537 17712\n44437 52280\n58755 79030\n88806 98183\n15416 58993\n72023 86008\n38174 51206\n30952 40756\n22572 26515\n45136 89952\n43390 87400\n55509 75771\n30558 31446\n65107 67075\n79580 98802\n7272 99239\n62833 86335\n11774 76079\n11998 13929\n51851 59365\n52890 71805\n46386 99098\n43094 71964\n16628 86144\n14068 36715\n6684 69350\n41136 92033\n13433 19421\n73749 84079\n87305 99984\n50561 65722\n12309 30474\n6710 54132\n82975 83094\n9657 52490\n51316 56446\n18015 91232\n53282 98874\n6905 45738\n23577 86203\n8948 21560\n96555 99371\n28750 49948\n39032 79605\n62686 97348\n24280 27739\n48646 90049\n86604 93222\n22745 34808\n46506 77264\n51110 90324\n1177 67549\n31326 39530\n23204 55363\n40819 92004\n82059 83999\n43218 98141\n93486 93867\n22345 99245\n76850 98989\n5709 25613\n25676 34356\n9317 52260\n37049 70572\n8888 64050\n26653 81452\n47614 61278\n7119 75243\n19839 89713\n27885 49673\n80591 97442\n48885 73643\n75250 92383\n8485 23490\n22149 51515\n7847 88701\n4252 93679\n77496 95722\n50676 77426\n22790 46990\n87953 89196\n18486 55375\n23927 95581\n89903 99358\n4985 42983\n36430 44939\n14413 98462\n49962 80054\n39842 82265\n6039 76578\n47895 93211\n45382 89496\n17930 92381\n2673 34102\n92037 96510\n5135 39483\n38981 57272\n13576 62076\n15082 69188\n61074 74282\n27384 66951\n1844 78506\n9271 40977\n65936 84957\n21634 93867\n21327 39874\n52634 83436\n56679 93801\n29322 69374\n89252 93746\n58551 63246\n88029 94552\n59143 95290\n49392 84989\n2643 80522\n28207 86847\n48249 96646\n41990 44944\n6071 80741\n28220 43961\n16754 93829\n34186 64977\n38763 72478\n55669 70259\n35451 71446\n34665 84918\n74194 76083\n10572 49107\n7130 28733\n75811 94371\n39268 44790\n72254 88858\n18726 95703\n58966 92736\n18369 50740\n20003 64456\n61569 69999\n21219 87661\n33245 47920\n213 65374\n29154 34099\n7455 55228\n330 24602\n13511 44313\n17524 75110\n6812 90076\n57132 93960\n34594 40349\n7599 28337\n19574 54234\n18878 81750\n46262 93149\n16313 90818\n16528 37487\n43932 80256\n19461 91238\n61301 61309\n32702 96085\n26372 53087\n35403 60055\n18868 52461\n12700 17181\n50847 66670\n72862 93928\n48422 53546\n20298 59998\n1544 47569\n10139 32927\n37428 76030\n40647 87322\n43568 58822\n68081 98354\n5763 87738\n20815 83277\n43007 74569\n30740 68285\n65628 66967\n48646 72875\n39264 67584\n21529 29921\n18545 37235\n52778 75222\n43015 88459\n28522 90899\n17887 31416\n49802 68197\n47768 78851\n60140 94385\n28119 46782\n2987 21208\n84677 97117\n84873 98265\n42990 85866\n78767 88563\n910 99768\n11985 42387\n74754 95857\n37195 75163\n24107 57812\n32993 39892\n17890 51681\n25008 48389\n97304 99918\n14761 47748\n23630 82518\n12031 21885\n58480 77234\n29489 69096\n6767 16409\n7837 20297\n39647 53011\n64308 85098\n73424 92080\n77409 78578\n2803 67331\n7767 31055\n35392 96375\n33152 34355\n27576 28549\n48055 90224\n146 20059\n35531 78499\n27007 76425\n15556 66371\n33127 91454\n75349 84332\n2695 6701\n33567 95921\n54435 75029\n2130 67777\n9013 55096\n17287 83708\n35679 77460\n40019 74280\n78290 81484\n3190 87846\n1224 98037\n32534 92623\n30990 77183\n1484 86902\n1959 93228\n50143 84452\n9267 44506\n1807 91252\n17492 42856\n44030 91098\n10663 26503\n52591 76460\n25152 96226\n48067 89733\n88416 90584\n14787 29954\n5616 17636\n10372 44736\n5507 86384\n39196 79684\n6842 15208\n16510 62270\n78215 84458\n39570 80512\n90127 90457\n1959 29828\n17522 70362\n31538 75368\n24028 98582\n39881 88373\n52349 83627\n73793 90975\n11588 70190\n60141 69130\n36267 72383\n66678 77767\n41081 59762\n55739 59326\n10408 36689\n70781 96707\n8848 37081\n78535 99386\n64126 79832\n2463 24130\n40721 54382\n48648 93460\n8838 99811\n15600 66204\n16008 99894\n38642 79062\n85191 93127\n23996 70782\n17410 98721\n45615 71077\n30859 58619\n11466 57929\n19166 76259\n4386 85475\n34639 46111\n82004 83316\n75258 76534\n20273 86126\n31474 58420\n9786 68710\n771 9054\n26905 65888\n6376 48076\n13870 43259\n33720 80980\n3075 13635\n20666 80252\n19625 48517\n1468 27817\n18619 94759\n46541 70236\n33392 71677\n29048 69135\n49695 78033\n8071 91954\n6910 18936\n4972 32413\n24676 80632\n72035 94478\n35618 97423\n72238 89448\n70249 99641\n21092 32113\n19124 51297\n65528 79219\n57439 97454\n35103 75090\n29459 62989\n14667 21233\n21852 97398\n26969 31832\n9011 82129\n54075 73919\n24135 50017\n24773 78040\n6938 81529\n43707 68139\n30922 59282\n14196 80847\n2085 95388\n24089 32106\n40630 53158\n81596 98538\n42 17748\n2423 85524\n62704 80774\n63767 90102\n38952 68269\n26572 49760\n11569 89977\n47004 58303\n14879 80573\n22100 53115\n31429 91043\n12720 14502\n96855 99299\n451 28345\n26505 55403\n42125 76578\n80380 95807\n53874 76648\n38728 78289\n30422 58663\n39620 45310\n42668 85347\n50115 89943\n21046 39856\n46459 95280\n58661 73576\n49246 73659\n56965 90859\n13554 44052\n18110 95240\n42448 50145\n70541 77191\n38856 85833\n28594 65061\n68178 76895\n15417 16854\n4279 97141\n7286 31275\n9543 58731\n9840 36418\n38196 80215\n40458 56020\n30556 57214\n5736 17312\n27211 78486\n69708 89478\n68674 74649\n4599 55512\n23187 24938\n44317 50121\n85875 91461\n65561 83401\n40871 62246\n13594 64300\n34860 66968\n34635 80809\n16281 98355\n13327 17053\n55138 65233\n20132 72033\n4901 71031\n18017 39842\n37296 78828\n33351 54964\n40962 69195\n19960 45872\n66833 67460\n52714 82682\n18915 98692\n17421 62187\n45132 53516\n28730 87303\n38077 42225\n35632 44607\n20912 99313\n58699 97439\n654 53536\n29931 47342\n40232 61884\n38454 84800\n68131 91303\n65086 88717\n3289 74721\n62433 82151\n12730 90901\n11189 75937\n68759 78877\n33842 80504\n39950 72922\n17560 34656\n68807 78686\n24364 33117\n41841 58801\n36607 59123\n2398 2586\n40486 40600\n40986 96237\n87807 88664\n2838 87304\n759 50339\n37830 52889\n10208 58696\n25159 78738\n16054 84913\n4563 49822\n3539 40881\n34778 89440\n22434 77173\n35754 44068\n34200 71581\n24582 62661\n29069 47613\n49375 51167\n6400 15907\n24624 66545\n30328 87516\n83883 87078\n83241 96447\n47983 74845\n2588 15129\n43196 63336\n7917 97138\n13071 84335\n17670 45752\n13949 62652\n61642 70544\n2761 94821\n42453 62449\n19609 44221\n2328 80192\n32998 99945\n47533 67142\n26282 86254\n24053 64690\n8575 10689\n87059 88498\n44333 88057\n17062 29203\n38726 96924\n31072 81005\n18225 78428\n12607 23736\n30945 41799\n12075 87436\n68537 71737\n24328 72439\n59303 79082\n42489 95991\n62674 71189\n22162 41345\n52638 81515\n37655 44815\n16098 85987\n32108 53660\n13501 23139\n34070 69443\n47892 94386\n58723 83967\n236 14213\n28827 65694\n17104 37328\n10265 15692\n40721 93741\n50486 89752\n59216 88056\n84041 94811\n36652 73632\n20634 85289\n45885 72126\n77905 86766\n65367 76613\n46785 70162\n35842 85802\n32836 59220\n51394 96446\n9970 45404\n10203 99124\n86036 92525\n5059 8214\n36445 66719\n2820 3495\n29583 55025\n41130 64427\n8981 71723\n34180 41130\n54461 74626\n32705 46637\n29533 68339\n13480 20303\n71904 72783\n2860 38182\n26575 83922\n3645 77382\n16128 99872\n1838 97590\n18996 53881\n14949 54006\n6820 81831\n20567 65007\n21568 58724\n33491 75360\n80587 85922\n10540 14392\n13709 46570\n28356 31575\n23342 80506\n46741 78963\n20504 35710\n30945 97981\n78172 86151\n26849 38295\n24686 28787\n11525 22380\n50949 88778\n47405 70155\n56485 74834\n39742 86516\n10097 87976\n54623 98716\n13398 39893\n51003 55404\n75907 88921\n26300 80709\n64903 73651\n91037 98588\n33237 33684\n22156 42325\n35467 86479\n11549 37165\n1030 63854\n34482 80734\n42063 95133\n23375 88692\n42155 79242\n36059 79583\n26267 33067\n54588 87167\n20201 51042\n9584 88868\n10461 38166\n24158 92390\n22367 99998\n40105 67421\n21231 81804\n61642 62306\n29881 98310\n4571 53682\n7805 74988\n17110 65374\n55945 92634\n79907 89140\n17041 51505\n53678 80037\n38228 38884\n5743 35992\n15592 83727\n3245 51703\n16009 41285\n52261 95630\n29424 91378\n6052 13615\n50587 74529\n374 47257\n17835 93954\n29781 87145\n67990 85359\n15715 65006\n67090 99258\n5424 14355\n4823 92571\n21856 22189\n27775 34781\n57364 93199\n55376 72982\n73476 91259\n25935 40391\n54424 62677\n850 18342\n82801 96889\n34906 68021\n50844 82753\n58243 99590\n78956 81219\n71768 91826\n52324 94942\n12010 29719\n30374 64648\n55020 65765\n74358 95457\n72841 73361\n1046 55352\n7844 81604\n9029 71374\n18604 59210\n1066 12509\n44785 79192\n29462 36117\n29212 90652\n86385 89014\n70059 72443\n13849 58365\n224 25990\n36664 69962\n68425 89510\n16256 49168\n6075 17247\n12915 99769\n21876 53334\n25822 60417\n43223 50640\n48132 60281\n23661 65851\n13813 67603\n18463 84009\n21022 53952\n25427 76284\n7536 85020\n42183 92902\n40579 78664\n79873 89148\n63304 94883\n8002 15741\n90369 94268\n53281 91438\n42759 61299\n4374 18060\n29381 79433\n7956 75301\n3401 71134\n53250 85071\n59682 88313\n61285 64638\n17270 84773\n40080 66454\n55803 93315\n8507 70546\n11508 71579\n30645 68789\n40643 82393\n83231 83923\n24766 90643\n44939 48848\n44311 52651\n40467 79099\n11375 82854\n35149 76758\n2486 36467\n76245 94085\n20846 54531\n84371 87306\n23608 89418\n20853 89081\n21291 24527\n29238 53966\n25702 60718\n1407 62816\n38902 69480\n9366 19556\n70030 93871\n76807 91783\n51762 61531\n19577 51101\n7961 31723\n23754 92411\n72530 97028\n55895 83515\n6649 22190\n34253 73515\n14182 42325\n8851 47866\n54951 66800\n48723 97920\n27087 28215\n64803 79436\n76265 84567\n14650 31082\n28780 91511\n19453 66295\n11941 84231\n35218 59387\n54765 68452\n15865 37416\n52411 97483\n7726 79205\n73074 90948\n63033 96304\n24359 48758\n74394 78996\n76051 79062\n31781 68334\n12670 17640\n11540 51216\n89657 97474\n72685 86961\n24950 73670\n25689 45044\n51266 85215\n6229 34639\n27660 48699\n56556 72307\n43860 98721\n23217 95345\n33574 92607\n27718 76069\n17948 95413\n4779 77429\n16787 90752\n40630 96400\n59767 62881\n82584 93745\n4594 56641\n14064 51753\n2644 66639\n24975 77078\n47565 58943\n17529 91697\n2011 87311\n17821 45545\n8865 78234\n25732 98321\n83521 93553\n59985 69624\n50182 94607\n28207 34723\n57329 83013\n40508 81312\n50775 87895\n13216 77164\n24973 76560\n1354 64500\n52196 89614\n4931 75254\n44733 64022\n33664 59333\n3776 84564\n2835 48369\n14077 36074\n24756 65855\n13235 48262\n11927 18383\n71852 87579\n1366 2265\n49990 67181\n3633 51895\n10262 97434\n25814 62753\n59175 70362\n11635 79679\n8280 59399\n5185 35814\n50046 51021\n68849 80028\n71618 90539\n47919 78789\n50734 76391\n36773 79307\n35629 67130\n1666 65045\n30558 42596\n59459 75948\n15326 52597\n27359 74118\n15651 67829\n16291 31177\n30725 42061\n7380 76353\n37692 77751\n21043 21460\n46205 83009\n12998 58976\n12688 24365\n17768 35276\n39350 54548\n56769 84428\n50320 62272\n28446 97369\n66306 73896\n1316 23126\n3311 51307\n17081 60786\n37148 45124\n28014 88251\n93383 94070\n10256 16366\n38567 59036\n23559 34233\n4410 53642\n62975 65568\n7002 10456\n9802 73500\n19004 35350\n1336 94372\n2730 22856\n20274 87768\n36976 64374\n6888 72210\n25885 68987\n23975 28957\n878 41079\n5741 11502\n14331 78603\n15429 21018\n42178 77593\n12054 87281\n43880 91523\n70658 81063\n5214 34355\n23627 27006\n41871 87572\n24401 76374\n8996 70710\n11072 51050\n37495 58525\n35212 44637\n68873 96737\n37449 73784\n54445 65850\n50678 62160\n14941 80197\n86577 99403\n2217 53750\n57167 97924\n19663 26871\n16326 88545\n61519 64646\n20521 96963\n9380 46353\n83234 93744\n54726 78731\n26755 60811\n28033 48483\n66790 82423\n37497 57383\n16569 83024\n3260 62779\n32126 48045\n15083 34108\n43179 99829\n23974 39364\n17267 93988\n6545 23997\n97603 97613\n42652 94875\n20814 44064\n12154 64041\n648 27066\n67321 88258\n94870 95784\n27157 55790\n39898 87619\n24867 88045\n24196 68827\n68765 97882\n945 44601\n21742 94422\n63191 64416\n1700 5779\n4628 52011\n1335 67529\n40182 54516\n48041 75513\n26367 38021\n6777 7723\n8678 92768\n10871 35149\n8165 35662\n47953 79963\n32887 94518\n25753 49468\n33245 93031\n65627 92726\n54365 96870\n41979 69256\n71351 95010\n32410 71155\n1459 67400\n26287 43943\n3321 56022\n55300 55964\n27281 66919\n48213 76430\n5460 7078\n3970 30149\n31125 91690\n58625 59203\n6133 24878\n3701 33434\n28017 92433\n32585 56444\n74885 87908\n12059 74275\n52155 77490\n5205 79691\n52889 98769\n4229 25954\n28908 43906\n21970 62180\n8011 20206\n32075 66778\n18891 35775\n5504 20116\n81528 87637\n48177 82793\n9558 23767\n30537 86893\n58441 83343\n12468 21715\n59211 82950\n125 56125\n1730 21575\n67124 80699\n21966 80709\n13442 21882\n34183 48099\n40533 44703\n41870 74471\n21927 55195\n2366 65771\n15603 50981\n62825 77353\n9304 55475\n75787 89859\n14845 32221\n2701 91756\n14167 28646\n15182 60709\n43966 92454\n35479 89363\n49021 62341\n54205 81186\n77532 88397\n76456 90010\n76333 83726\n24137 69725\n12222 73909\n28696 48885\n55607 68449\n63861 80255\n12871 60744\n1161 70358\n35032 90153\n12724 65553\n89963 97795\n17829 99246\n12869 78193\n22762 61245\n11569 46728\n67624 89235\n33600 78388\n3994 17416\n23421 33478\n22435 83341\n12468 30653\n571 34453\n2329 76401\n27727 77610\n45957 68248\n4837 36485\n9095 35696\n15353 61248\n17776 27187\n24028 28260\n12820 92726\n55041 83566\n36885 51567\n53659 95481\n42187 71342\n18782 30742\n32184 88820\n59743 65247\n75592 92688\n22705 93600\n53683 80579\n1291 89551\n41831 89824\n3099 72515\n21984 58667\n27374 73517\n17151 23484\n54960 85696\n48813 60389\n51514 91193\n39281 99816\n5571 56615\n11120 36538\n23076 37215\n145 36206\n7661 27939\n46271 97602\n22862 42974\n15742 86076\n53560 58438\n42586 75048\n514 23339\n28657 38379\n4193 44349\n8158 96285\n6700 53007\n29627 45233\n32074 96865\n34569 73741\n16454 17504\n56169 57724\n84269 97111\n78499 96508\n667 74113\n14495 72006\n28231 80888\n43495 84733\n10769 90202\n84613 95981\n56204 58820\n49204 92927\n45453 92289\n35459 91697\n17814 42249\n14815 87926\n19760 30730\n43589 81503\n15335 40679\n79086 80799\n15623 17762\n82549 94643\n10547 54665\n2936 14145\n34951 66662\n7313 89039\n74252 99607\n11376 91896\n45250 93554\n13171 94304\n48667 58909\n22036 80412\n53395 64708\n41449 64793\n17308 98504\n17307 38954\n10023 95839\n84266 88421\n19949 70870\n949 97256\n25416 87966\n30073 38281\n14509 87596\n24298 99227\n3504 24077\n50331 68814\n16201 31659\n247 75376\n648 20891\n6755 95541\n11646 56084\n15099 34280\n14070 29274\n24395 81821\n89122 89680\n8861 28148\n24135 57247\n45100 99167\n47395 80106\n648 70046\n41806 50951\n68182 86981\n15701 75558\n36448 50476\n45050 92534\n16249 51387\n16977 29606\n81992 86233\n8430 37950\n10559 56345\n59669 76585\n36627 99415\n5546 53987\n1699 21543\n28550 78350\n6864 33159\n21183 58983\n79805 98778\n57846 79774\n74244 99741\n38231 59937\n27243 93687\n33728 39151\n74444 90976\n9894 75711\n41549 77441\n66571 67937\n17772 58376\n5487 43109\n26381 77676\n54911 77925\n13163 74957\n40576 88308\n1131 3268\n66116 82067\n14546 51319\n41281 60449\n15860 62087\n2319 69327\n2238 88068\n41970 48315\n47770 85114\n28895 75975\n26407 40459\n54102 69962\n39173 81487\n67147 78159\n23564 99413\n92305 93882\n55345 67899\n12451 38902\n10128 75526\n543 90341\n61269 89515\n69891 95708\n26212 72215\n2847 26121\n67837 79155\n63485 99710\n10498 88363\n87371 97357\n1986 20033\n17899 38268\n11100 21286\n2572 52067\n43912 57672\n10892 24574\n38283 40196\n6179 44108\n8045 39073\n22064 24371\n29089 45335\n54285 89836\n10211 96576\n41981 63954\n58986 79029\n7009 82144\n8054 72667\n14705 97038\n90969 92076\n33582 36248\n16537 66959\n42052 46722\n21936 96043\n24794 87469\n44617 73473\n79342 86526\n52457 94215\n13452 77349\n2766 89799\n52396 81175\n29364 53088\n40996 70932\n11994 15648\n15563 55598\n3929 70488\n36447 75931\n65728 87238\n60292 96283\n74437 84145\n27758 62474\n76138 79185\n14293 81340\n4205 5439\n56832 76351\n36038 39987\n23670 70215\n35385 46660\n14800 64897\n49315 73161\n2238 35706\n32767 36015\n69414 72688\n32535 57239\n23914 89870\n61811 96636\n33947 54218\n4399 97734\n4580 31812\n54552 74418\n43307 59919\n50952 96331\n19821 68791\n4402 15346\n44754 90967\n4969 94163\n25703 97547\n33711 90517\n46991 83448\n35251 65539\n33144 59224\n52277 70267\n21466 96382\n79613 88627\n5186 10012\n39686 53022\n29826 56350\n6729 53235\n77445 98240\n51417 66321\n37240 40492\n8647 42338\n47861 51132\n37700 68573\n46415 64641\n39558 77993\n40041 66230\n27180 85277\n78126 79692\n18997 39474\n15060 27803\n9476 27825\n17616 33002\n49078 62127\n80414 84737\n51213 78010\n38599 92926\n36640 78120\n16929 38832\n17738 46177\n45344 86880\n88610 89367\n4713 59277\n9707 78525\n39615 40246\n3737 69501\n31593 85876\n35581 74559\n804 15508\n26601 38177\n11347 18130\n12019 27298\n86777 91531\n14713 57574\n27359 35499\n38490 98905\n34657 59726\n14183 79837\n69253 97747\n28559 82416\n11272 31980\n53924 93983\n20725 40141\n70850 94387\n62351 70783\n2474 63101\n25165 40462\n48703 97824\n8925 71459\n9879 69379\n39881 51632\n7572 41138\n52224 98349\n39944 73652\n45654 63536\n27458 43221\n26232 49497\n20722 23470\n27531 94297\n2233 99832\n45980 68967\n84423 85438\n23463 47821\n54901 69135\n18503 21705\n48071 88773\n33700 98584\n60695 75005\n6658 38870\n52052 98381\n9569 63341\n42096 42294\n7773 51197\n1545 28088\n29404 97701\n48986 50244\n2736 24398\n40772 83831\n57655 63687\n16239 95199\n62707 64463\n61993 79236\n21075 84891\n42886 74220\n26494 59945\n14439 43610\n705 24860\n8791 66324\n71972 87172\n15834 56450\n38458 73690\n37172 77814\n7173 67064\n53892 60179\n38490 83062\n18111 88090\n5256 81364\n39415 76228\n62888 87152\n6589 97752\n51257 84164\n11198 64809\n2156 19192\n46602 95004\n71389 90421\n12086 90130\n44424 72946\n27745 46650\n363 10280\n7295 60246\n22230 28768\n80257 85263\n3446 56300\n5793 83441\n20552 93116\n155 35395\n58031 77779\n26648 33092\n3722 5147\n58522 84473\n76128 90506\n82076 94398\n73613 86320\n23201 51094\n57850 91047\n44127 95207\n36395 69853\n1808 37026\n39729 43792\n141 49864\n6457 85151\n7968 64055\n63162 93711\n7193 28670\n44 32287\n22353 83204\n62574 89089\n8626 11579\n18138 83301\n9001 53612\n1071 66825\n36438 69328\n23515 41688\n78883 93507\n20354 51633\n82143 91995\n31428 76479\n4567 24882\n38996 46088\n43341 71825\n44976 77702\n13001 48918\n44368 75726\n55637 69970\n35957 87444\n16468 50875\n15809 20025\n3567 82221\n41053 64693\n13108 37561\n8576 75605\n32264 58314\n1012 26770\n40764 99113\n28969 71353\n38280 72492\n29572 57553\n21222 67090\n36634 93210\n50090 81732\n19317 91411\n41283 47234\n23962 27913\n53080 63366\n35582 91854\n5169 62148\n37536 67370\n1933 22545\n53037 77698\n42565 44204\n19428 83231\n28567 43720\n30817 45441\n28259 59233\n10749 89773\n68516 73890\n16784 30971\n27955 83206\n22117 57467\n65763 72177\n589 23295\n48199 57764\n7597 95458\n14813 48771\n55795 70520\n27593 38471\n48030 59399\n67715 76525\n21853 67608\n17504 28049\n25350 62044\n54453 93603\n24317 78599\n1345 45142\n13840 18826\n86743 95045\n67581 84338\n49063 57762\n13971 75728\n16809 24178\n16871 28824\n37822 78512\n18187 72754\n58047 74378\n13819 17300\n31700 63729\n59634 97516\n3960 70927\n18305 19859\n73152 93647\n37793 70155\n63934 75400\n19672 39885\n78027 92040\n27158 34004\n1886 87692\n14431 73243\n9576 95645\n2560 23327\n37111 96284\n55582 94371\n64361 71277\n336 2504\n29019 82022\n13337 22249\n54393 69602\n37093 79952\n7791 44322\n58412 96683\n25509 37185\n33741 70427\n41704 79336\n51267 81783\n3900 89878\n72888 96902\n8927 92337\n25839 53244\n68503 71202\n9015 64022\n913 75158\n87029 96237\n58917 63552\n11065 61581\n46939 50630\n44529 54516\n47254 93357\n2121 52725\n7471 88679\n19090 53031\n2690 75991\n11145 99887\n27684 39723\n24265 41723\n84821 86800\n15601 67252\n41555 70849\n13061 74273\n6850 43946\n30125 46303\n6488 72016\n17270 68453\n3545 12828\n40002 62635\n48279 84142\n11816 33868\n22361 60021\n82492 91832\n52162 62955\n1032 68437\n12104 93769\n34157 57360\n42807 92098\n23016 50369\n10980 12833\n51525 53244\n979 88438\n11004 35560\n21075 26264\n1879 14805\n31651 43798\n5424 33032\n25995 83155\n1738 33916\n495 59018\n59618 77312\n70740 72293\n43480 87895\n58656 96028\n8574 19986\n62061 68183\n47170 68006\n21485 24168\n58162 88296\n62525 77204\n81920 88364\n18162 61929\n27720 62322\n14759 26025\n26046 39096\n27306 57690\n30763 41638\n67089 75271\n33398 92061\n68142 70009\n32208 63291\n43785 60181\n38694 75877\n78358 82416\n25202 43415\n25141 99648\n5414 79918\n15434 24370\n12375 82153\n47152 86044\n50747 61943\n56672 62723\n71074 72651\n41500 60262\n22090 35356\n18801 39355\n33982 93758\n9069 85720\n25723 42269\n15645 70500\n34628 56566\n34245 51476\n6777 52609\n11265 64803\n19548 94711\n50923 54095\n79299 84595\n27497 36915\n80679 99212\n52904 95856\n78909 94213\n21610 70480\n7373 63492\n61645 71301\n29910 44865\n49075 66665\n50110 80674\n83902 98540\n32626 54660\n40570 98206\n69423 71649\n4413 71730\n654 8029\n47355 66939\n17989 61660\n17150 54398\n10193 28824\n86928 95495\n4586 8115\n25726 82208\n2112 43813\n1752 59743\n21913 91739\n66860 85633\n29949 67301\n34259 40713\n23585 94217\n19252 58005\n9407 52470\n8509 65808\n96679 98339\n42647 61436\n57014 89880\n31782 56186\n18906 67528\n22416 51100\n36771 90550\n4700 8138\n29600 73372\n7994 57601\n23510 87223\n21855 57262\n2500 39948\n22925 26893\n39361 54414\n28064 44939\n67901 86374\n44243 80459\n64589 72720\n7700 95982\n25897 84576\n11662 82625\n27740 59894\n66587 91869\n45680 76795\n24148 61266\n21124 82038\n58000 91794\n30189 97701\n55506 82117\n54009 92077\n28698 32852\n29060 77541\n15686 34649\n55115 91950\n57811 80120\n1853 5566\n93186 98605\n48486 75211\n1631 16605\n4926 7675\n24487 50792\n15738 55770\n40631 93070\n66431 72062\n7753 50277\n4744 34281\n30556 34393\n33399 97670\n61714 93611\n22760 52043\n25098 83475\n29017 33041\n16087 46912\n17787 37889\n2680 18380\n50226 69710\n13278 68392\n59001 93033\n3523 14147\n43598 50255\n52339 56116\n50429 99363\n27829 82283\n74350 76668\n15660 36951\n10977 97714\n37777 86983\n73742 78240\n59222 72509\n59096 66078\n23094 71115\n49628 74100\n31776 40871\n877 95486\n81487 85794\n1085 22213\n42917 49729\n75830 92427\n39847 57782\n58675 72244\n27869 82768\n15422 82025\n1483 22442\n17913 52387\n49232 74849\n10355 52550\n35662 66785\n32011 93461\n2864 17417\n1519 93732\n81433 83492\n83452 85712\n18204 48319\n5591 58103\n59735 82518\n37635 45439\n1574 80271\n42743 55039\n24725 53244\n71790 95003\n57362 97784\n56176 72191\n36955 48526\n81181 91705\n65817 82072\n19458 29943\n39585 55819\n29226 69222\n77719 83859\n35101 72492\n95828 99122\n89506 97927\n54167 55754\n10607 87364\n57020 89451\n82913 84228\n71273 78477\n15935 40782\n72395 83667\n1988 70626\n18980 82939\n49263 63730\n6795 31346\n4127 43314\n28485 75446\n18257 72701\n10529 45186\n63050 76847\n13115 92833\n35972 78319\n57386 70055\n70041 71179\n4585 26372\n67596 82775\n13124 37793\n55379 67547\n37803 90894\n4118 81915\n15267 62108\n21246 38699\n3946 74521\n1027 31269\n1096 17229\n78046 90060\n13068 23169\n77775 90524\n16526 97114\n6959 47780\n11964 52682\n14304 40710\n36335 58172\n13085 32568\n10979 63751\n18106 72715\n67334 96829\n49021 83525\n79888 93617\n45926 85674\n16698 45595\n81538 92719\n4137 59585\n520 9253\n34124 38623\n30081 79156\n22589 49796\n19515 95517\n12342 30753\n1055 40706\n50052 93267\n7599 50874\n61262 91652\n27494 64418\n4374 65028\n66187 80555\n50138 72213\n13935 77849\n17950 49938\n74255 98767\n86748 88393\n34930 49113\n23479 49237\n47992 62735\n70948 84904\n76391 77550\n4616 40642\n63912 73050\n11945 84107\n17082 26638\n12462 40692\n23643 94152\n54930 80108\n78245 89999\n45180 71136\n17291 38510\n11485 45312\n67118 68713\n15583 43061\n29710 58579\n62929 84356\n3115 8329\n52525 59929\n3635 28817\n67240 83837\n75802 96604\n41803 72511\n82502 87922\n3898 99643\n31413 36032\n29048 30875\n64624 77271\n18810 96957\n22687 98953\n69225 82192\n78334 80607\n19569 30645\n5220 38522\n38797 86579\n24634 69503\n13190 80363\n34542 76511\n24436 42601\n11138 35246\n24730 86117\n55776 97104\n54058 74950\n20127 78148\n27985 76058\n37912 44760\n65397 75416\n31524 85148\n21738 90051\n8302 94415\n52279 79661\n63347 88370\n77282 85978\n6736 31122\n10826 44184\n36213 49989\n11373 23884\n14593 88517\n25558 69678\n55322 72762\n81826 82003\n777 88883\n17453 99569\n7568 31583\n30844 43114\n22341 47488\n8999 58037\n85073 87994\n11410 31435\n21617 57951\n39510 92812\n83072 92574\n77290 92175\n36170 59984\n48242 80692\n15699 18633\n27816 43621\n73526 96845\n55319 84267\n20747 40236\n20182 61445\n41488 77034\n16545 16656\n35281 82577\n80448 95139\n20709 53816\n4812 65625\n25828 72399\n43440 44285\n18909 85723\n42615 52158\n49304 99746\n77048 87347\n48587 89485\n9397 39820\n12419 80829\n41049 67979\n61660 89527\n19485 68100\n65863 81011\n6621 68133\n55101 67670\n4992 57756\n34711 95715\n76361 81503\n33919 59677\n48734 58070\n1249 60955\n24455 35371\n65963 93058\n42741 54079\n56806 86325\n45446 88529\n31087 46234\n3596 40489\n43902 77309\n29237 85065\n29032 87355\n19040 75544\n2202 11523\n62919 79306\n95841 98524\n63570 81357\n38530 63994\n66038 74405\n34064 61541\n13065 59824\n44079 75231\n1949 23692\n70780 95721\n1335 49563\n8548 58888\n66995 91201\n7077 26656\n317 50540\n63403 75960\n21680 50362\n43584 76785\n1104 10650\n36614 99217\n15702 23770\n19230 80777\n5176 34089\n83621 86993\n34965 80160\n6612 43270\n70012 72628\n57951 99249\n40106 67852\n29031 92517\n84124 84667\n34563 54819\n50394 91029\n48214 51912\n41920 88300\n41725 84714\n28157 38410\n69045 86182\n67590 71979\n44392 83521\n12314 40354\n13597 37999\n56790 66774\n4213 87607\n14897 62386\n80707 96762\n17679 93172\n38886 60558\n52837 91654\n45366 56664\n11416 65555\n84756 95979\n32630 87431\n7858 76626\n5006 76751\n69353 72515\n63687 98340\n87939 95602\n32668 65957\n45021 70959\n4583 59969\n62864 81822\n27534 47010\n57740 60991\n37606 57554\n29032 60828\n62060 86675\n47449 73341\n14650 26634\n81375 92334\n29725 87714\n48646 63028\n18579 67261\n57609 94139\n10599 29813\n91863 91980\n87415 96591\n27109 98627\n13405 58472\n1333 7860\n9868 13618\n60608 84453\n65900 69888\n2774 46361\n38675 70783\n51734 95577\n10219 66463\n60129 85247\n32436 85793\n43895 83644\n21855 23563\n63932 68240\n43140 48181\n27431 82851\n21743 60772\n49534 73406\n55572 76003\n54957 76196\n13204 79129\n4761 54603\n73168 83754\n33595 64285\n52913 66474\n38814 82830\n3762 33796\n42181 89386\n28819 34913\n4961 88367\n41941 76719\n53325 76795\n8085 72559\n23097 51697\n12494 19883\n14688 53642\n22069 40761\n32740 91885\n23239 80116\n49562 74821\n62768 70892\n462 6825\n11044 25955\n4289 20506\n13292 29849\n2926 23615\n3042 72292\n4422 14065\n26756 50139\n65522 92918\n25035 58862\n16780 26373\n17281 68051\n30818 93540\n40531 65528\n46195 46596\n32345 63080\n67638 90203\n13228 95838\n17692 88301\n56793 66352\n3179 52243\n66373 70251\n4836 44560\n71638 95025\n63609 63720\n27471 69796\n50365 73450\n64883 65518\n29487 79479\n43090 68766\n34925 53769\n100 16630\n7929 35323\n38022 97454\n16184 90201\n17814 48826\n46476 56194\n83435 87223\n42194 59177\n60222 99364\n7239 35022\n44616 71676\n82144 90791\n4790 26503\n78660 90602\n41279 46154\n48956 82602\n4726 67434\n55306 76108\n9390 78006\n4852 51275\n40863 65690\n25406 43163\n54576 89366\n6378 54903\n31893 45040\n5153 45325\n45141 59292\n45416 87976\n32522 42650\n84802 98695\n6484 12375\n79320 81319\n15 85754\n1019 5306\n5502 92301\n7641 8996\n30934 39488\n28815 36397\n54328 70814\n7924 58634\n29134 77390\n35770 59520\n30467 70146\n6435 32862\n68365 95563\n3550 23642\n12018 55989\n17270 64954\n47075 68882\n1282 86176\n5551 56733\n69470 72950\n58657 86596\n22945 84970\n27294 71881\n56839 99519\n61785 89268\n72010 81425\n28213 97340\n18880 78057\n72792 91734\n2452 36551\n68705 75753\n43750 76704\n17007 56829\n41365 91494\n40070 76513\n66174 80156\n48996 58364\n18801 63196\n10408 71042\n9180 34761\n58024 77476\n30001 36715\n4930 26965\n57534 94932\n42951 54557\n3278 60090\n3655 86751\n30659 39830\n64984 69915\n623 99062\n56346 78064\n21916 69758\n43911 83709\n18826 34399\n13441 66363\n20418 43248\n50708 63772\n15879 34234\n17321 20286\n15997 41350\n12014 48126\n52564 71302\n35447 80923\n37821 41439\n15692 76578\n77348 93065\n36578 44020\n57648 90222\n17785 33079\n36304 98561\n34408 40107\n86537 87867\n24362 99178\n21049 47404\n29498 83292\n676 10056\n58620 61682\n7965 60758\n42499 80745\n36432 67513\n77493 90073\n1588 19363\n48476 63020\n31657 99797\n19994 82980\n62375 95295\n78400 96836\n24647 27939\n6592 64504\n18261 59521\n642 51656\n17647 82727\n17816 51379\n44768 48054\n26410 79553\n74541 82588\n65522 68684\n42343 86849\n11087 56338\n5310 69272\n27676 82765\n29319 33296\n83508 83863\n34008 70593\n5112 77698\n45551 75700\n53588 74643\n47675 87179\n9461 30826\n33063 43062\n7315 82421\n25168 59832\n26442 54297\n46211 55380\n17897 73617\n64171 95407\n31831 85682\n26805 87136\n65196 97915\n5615 53129\n63838 70355\n52851 60648\n81434 88645\n52559 94591\n52322 54105\n71095 87671\n7441 94325\n71287 74038\n13586 30346\n7002 18887\n11027 98666\n8522 30398\n17195 41562\n11598 69532\n53948 77985\n43563 73440\n50965 84708\n27215 65495\n9689 72157\n84772 88296\n34564 59478\n3236 45546\n28521 59272\n45813 48142\n15217 89442\n34711 61563\n54085 89485\n44000 95697\n13733 81324\n44411 55574\n23010 92476\n39794 73327\n25670 84852\n13883 68700\n47020 82396\n60968 92786\n56175 72648\n31185 74477\n22860 88666\n121 75975\n24002 71377\n34508 80467\n42144 83014\n14024 43520\n28721 99234\n18241 84314\n7538 91801\n14187 38141\n18695 91114\n12646 91250\n4211 50300\n15450 55525\n9150 54114\n20638 92105\n13126 97651\n40241 57694\n64207 86286\n3570 94076\n11995 86295\n2246 8529\n27234 71577\n46340 82128\n49506 90179\n38365 40372\n50762 72166\n33126 60075\n9519 93440\n41566 48888\n39088 52256\n67074 70138\n3259 92141\n21440 35225\n14016 85497\n14237 29709\n22545 49115\n47529 98180\n53336 59218\n567 58056\n8293 72769\n64436 79908\n88750 98290\n35405 53224\n34425 80517\n48178 81611\n54283 84012\n35088 87906\n51135 65947\n34305 65334\n91491 93176\n24402 43471\n34206 54956\n12494 78249\n27627 29753\n28602 62654\n31754 46491\n11537 55995\n36288 81075\n14366 95814\n14104 42079\n17261 76345\n31216 40437\n1450 6045\n15204 45751\n66619 77188\n57406 70441\n2968 78698\n13946 57586\n28221 72973\n11221 60764\n16013 21330\n62316 69807\n16754 30671\n53746 72328\n27440 47983\n33466 44272\n63324 71261\n22261 88432\n87063 89387\n48308 99975\n13127 64198\n63065 74811\n28677 74378\n16442 22276\n8892 84983\n42923 62952\n40869 99410\n27791 63179\n1859 23389\n42177 74022\n7687 54892\n38753 70622\n90735 95265\n28305 50211\n9548 26740\n38940 74472\n23624 57510\n82099 84518\n61416 64898\n24973 30539\n6381 20485\n31065 72401\n35962 80353\n16766 82066\n27115 28568\n14444 82415\n64381 71425\n17250 56011\n29202 72881\n29578 95060\n22802 25349\n36799 58018\n1393 57601\n72691 88434\n46628 86590\n12660 51309\n37713 56012\n29577 39903\n13858 80658\n46877 84419\n47900 79355\n21974 37392\n38773 50321\n19445 76011\n7871 48557\n14703 32430\n26028 51517\n3376 69786\n74278 83275\n26148 28574\n34868 70888\n6050 59222\n48754 66210\n28423 87841\n7136 78206\n31864 87346\n21474 47898\n56182 97950\n68120 78048\n58880 90812\n15389 90955\n14332 35194\n30604 44720\n30310 94589\n49806 77996\n26096 60195\n70572 77990\n18006 48901\n30733 87651\n1751 53045\n6334 89400\n70670 84485\n18106 25279\n5867 98327\n60522 62912\n29629 48419\n30426 90503\n38794 48873\n7796 24529\n20470 72483\n41119 98948\n15554 34540\n73462 87084\n23265 39035\n11386 70243\n44683 96311\n11230 80968\n22732 40891\n36493 97568\n14794 45641\n11537 26128\n37601 51988\n65966 73585\n23466 34467\n25893 72837\n27298 38437\n27591 72545\n2016 10389\n15828 54127\n4275 47031\n36166 97681\n84764 86498\n23206 82127\n9959 10471\n39410 90481\n16933 28412\n45171 92650\n65148 67356\n13410 73194\n88637 89896\n229 67569\n35400 67006\n1749 33087\n13357 82555\n52415 78893\n30464 65700\n71744 80033\n1511 49630\n36179 68455\n71142 74019\n50499 90396\n19045 26226\n42 70305\n1154 99503\n9609 25991\n50086 63120\n42715 60302\n75346 97174\n42813 61301\n10872 78993\n2581 40714\n35275 87639\n29417 71332\n49035 77751\n53493 93386\n37378 51281\n32559 42683\n2540 73651\n67913 72327\n2200 8234\n4998 43431\n78981 95406\n60520 90530\n21734 55846\n35558 76591\n84946 96211\n17650 27198\n73699 78701\n58570 72491\n17490 43852\n4532 7827\n60916 70148\n25454 69641\n2133 89052\n54054 87344\n30169 86680\n53180 80982\n4131 95439\n24625 71263\n60454 78121\n25767 45356\n2510 15478\n5774 8939\n14061 97750\n39595 67139\n82106 90262\n6725 31883\n17670 46608\n4583 34451\n52630 81113\n29699 98740\n10052 21795\n47000 93044\n60878 75627\n42437 87902\n13749 38231\n48046 96726\n46945 50132\n31243 89401\n37018 83766\n15037 94759\n36492 38161\n60121 82776\n38086 90512\n20750 62037\n5352 69753\n22974 71894\n42147 48720\n46226 61419\n28066 90382\n65307 99121\n62428 66199\n21188 78109\n37502 73175\n50716 86553\n37525 74153\n5720 60718\n38733 73394\n2598 42813\n51914 64574\n74719 80904\n17525 30224\n50865 74111\n36331 63853\n15676 19486\n7085 24753\n50630 87135\n35009 71560\n47565 70429\n35117 46022\n58069 59881\n5888 86782\n29513 95116\n69366 77576\n66289 90295\n51090 60125\n75046 91977\n4395 8448\n92170 93605\n66216 83698\n34317 80871\n43442 90692\n67162 81894\n24550 44495\n78550 80003\n19570 48312\n84782 92071\n85397 90760\n30276 31170\n24105 24205\n45287 77830\n26904 82364\n67144 94712\n37622 85363\n83867 95077\n8377 39597\n49185 90849\n34859 50957\n20964 91149\n13393 87016\n67678 71256\n2299 66582\n21860 59261\n21370 49917\n12224 35583\n23172 93863\n40422 54564\n15031 23130\n63564 72453\n35575 62001\n35057 66360\n46386 75624\n35633 89612\n9439 22739\n4589 93622\n29285 57441\n43483 56859\n37985 60045\n78539 97827\n68864 69777\n269 64999\n4909 13648\n76308 80404\n56963 98793\n18335 72358\n28987 93482\n31191 73169\n28107 40363\n12658 14110\n7225 72221\n11577 66564\n3463 20048\n31775 63420\n7730 92139\n4950 44868\n25578 54636\n14419 73352\n20084 72153\n53411 92512\n38342 56013\n46522 75777\n21224 65068\n8260 33062\n21654 65999\n43710 61236\n23636 63661\n15934 77193\n8905 16603\n39285 47641\n54213 97861\n36197 49271\n26223 45258\n50840 79510\n23307 25255\n52235 95422\n30668 57056\n25754 67517\n35165 89902\n25111 92333\n34189 83763\n25472 40213\n33426 37462\n40481 41534\n8409 79459\n75828 83656\n42605 82317\n12430 22377\n2461 84153\n41214 95543\n12764 25971\n34300 75872\n12198 35983\n64633 90206\n65299 84175\n76081 87436\n45338 98128\n17947 53705\n36160 49078\n82078 86089\n17772 42738\n25563 38705\n1596 28155\n13812 46067\n69394 81500\n10940 64796\n53214 95796\n42261 83326\n23135 34297\n41484 50212\n54316 97636\n10203 92914\n61251 88545\n22978 86608\n65383 68942\n59820 78143\n17899 94128\n16837 66146\n13017 53936\n10347 44733\n40696 41931\n51347 61886\n2143 5629\n48443 49145\n64174 65174\n1507 83632\n32480 90686\n31771 92959\n8600 15914\n59958 62499\n32285 46155\n55969 61127\n33818 48075\n80737 98697\n5146 28377\n47927 70806\n57822 77922\n40619 79264\n15667 48297\n7460 63804\n7828 58606\n9013 44467\n13719 23895\n92406 99707\n80320 81946\n36491 52587\n7382 44241\n23494 26281\n7459 97617\n56697 70230\n17861 25507\n52588 55088\n40183 59282\n38121 99023\n86255 96931\n19893 62514\n1657 60706\n55486 61459\n25994 57605\n9946 86592\n8036 43208\n28223 80156\n1798 64553\n72167 89350\n658 43743\n83758 88079\n8542 25978\n42650 89483\n15838 56919\n30011 52788\n7593 53107\n71323 94759\n66414 95721\n28671 69758\n41064 99500\n4802 74767\n38878 83344\n57574 86837\n68348 86366\n48331 92673\n28577 86970\n5454 13371\n4636 97833\n23284 49293\n45448 74675\n3843 80069\n180 68411\n19474 95902\n42501 96418\n6906 58507\n46692 79761\n60093 65439\n4223 62659\n73563 86987\n67311 87919\n42712 59897\n48562 95852\n16678 53440\n42682 83503\n67731 91767\n34893 41365\n11471 74532\n16126 29163\n36887 78918\n24933 91438\n13889 49611\n44521 81283\n54369 98265\n40292 69037\n61446 67146\n1499 99158\n37005 98065\n52195 78276\n75257 93456\n7578 8741\n12369 28893\n22155 30182\n55827 86837\n33091 67725\n22975 23802\n401 60790\n16747 92398\n31234 39952\n58911 58991\n21116 87465\n4947 6582\n55945 79550\n72430 79530\n56733 78970\n11721 96616\n792 41909\n23103 89811\n26061 26544\n6408 51877\n41842 79377\n24759 51335\n31054 59949\n27099 39679\n22721 45844\n11002 22365\n36687 94284\n12315 60918\n15725 24960\n68720 97141\n63822 65027\n2532 71053\n33492 74243\n5040 97039\n53873 58927\n39045 80488\n12567 18248\n20319 85639\n19780 78283\n13544 19924\n27970 34114\n5553 64696\n56113 65999\n22797 82069\n40510 63720\n6363 9498\n28935 51542\n41756 65831\n12514 18699\n28261 84459\n25717 67504\n5595 70012\n64511 74957\n26070 75820\n15962 93165\n24263 61322\n1472 91163\n27626 85911\n53701 56998\n274 15810\n41753 48720\n28946 45700\n4727 13040\n19521 72449\n23726 59612\n1875 95519\n48502 67674\n446 47807\n50781 51444\n24126 29595\n2776 52973\n21940 82903\n8363 60180\n29156 59207\n23136 29501\n29846 61620\n18889 41491\n29122 87882\n8464 22299\n58859 77308\n8673 15229\n28344 51969\n70109 78336\n26639 90424\n79494 86191\n40661 69151\n51019 98797\n12065 66942\n56975 89031\n20819 23184\n5811 71337\n58226 94752\n12414 82305\n1453 95150\n15115 79647\n15557 56826\n26820 66964\n42583 52567\n48789 56780\n41186 41217\n42354 60706\n32652 63430\n8228 50761\n5340 87480\n62544 87205\n58483 79155\n15065 63903\n8502 92589\n21108 79147\n1172 34409\n21400 61005\n77036 98733\n17654 54978\n26968 62923\n19786 73435\n9530 99577\n957 52659\n49939 96220\n14360 91303\n24367 84930\n5405 59110\n55450 80934\n561 3541\n12212 68384\n37132 80018\n43661 73413\n9204 24351\n46429 94533\n61342 93313\n54223 80077\n48525 67986\n5152 55288\n40419 97871\n69060 82511\n23994 86078\n29007 48833\n17020 94042\n14814 52628\n13242 47557\n34294 36564\n48844 70268\n11586 46176\n61511 91198\n8561 63104\n15561 75232\n27926 75950\n30966 55513\n48437 99253\n22954 56101\n60127 89600\n43743 64124\n22401 53372\n22804 83990\n89833 94046\n53656 95450\n30379 46129\n24033 42358\n62918 68789\n75514 93275\n71487 78988\n33578 90023\n6662 94718\n55855 63653\n2013 84172\n65931 98848\n33267 67074\n57953 69324\n34498 56573\n31865 44384\n56350 94573\n48788 77161\n60150 68830\n45174 75759\n15449 88557\n12190 56879\n60487 89991\n40710 55832\n2435 80105\n90220 97036\n4558 91322\n28877 82062\n60229 65235\n6951 88085\n53729 62665\n24451 76264\n50619 95118\n38607 47951\n71457 72979\n35093 81560\n10966 79542\n9422 37850\n8160 48638\n72831 97442\n26030 86935\n45044 92650\n8753 90216\n6645 45291\n1642 25008\n44498 80017\n20707 25641\n90264 91441\n41928 69392\n9712 57271\n19195 29058\n78680 94679\n1854 72299\n53443 69656\n16071 69049\n35615 97291\n26752 42639\n19552 21943\n40739 67496\n15535 52348\n2714 60510\n6870 18386\n26328 63810\n8287 54434\n20381 43808\n36411 92717\n4974 93903\n39820 41982\n56907 94158\n8403 63645\n600 37137\n36368 73149\n35597 65145\n61005 79720\n38915 92499\n62906 81186\n23661 64784\n18181 91128\n37270 62886\n22453 89691\n29641 73774\n39524 53062\n78431 81816\n89762 90141\n33505 55856\n18018 91022\n27632 84697\n68770 79785\n35481 43081\n52947 75160\n31594 75372\n41051 77047\n35829 92009\n64833 83192\n70716 86810\n50554 70207\n21808 47551\n14637 96693\n18093 92601\n43946 53235\n5421 39731\n32079 60040\n34436 57780\n7648 61456\n24390 49103\n41139 77189\n49922 89978\n15008 19218\n11034 75191\n52953 88013\n10738 12837\n23430 92920\n42622 79564\n49454 78427\n17428 27054\n50801 69849\n13890 34447\n19218 72187\n2984 23159\n17670 25615\n5578 11068\n17568 35309\n10033 52569\n18810 60978\n54681 57547\n9992 15978\n9551 85675\n2966 82575\n43794 72451\n13658 78391\n58638 87261\n21703 49309\n22042 52290\n39134 59875\n13339 68449\n79541 97651\n15566 60785\n44187 88869\n61296 81493\n32043 35051\n25626 35595\n7517 34063\n33477 75407\n49949 72846\n21660 68622\n8513 17116\n9350 14154\n23946 47471\n26953 79477\n7676 81395\n28092 95678\n15953 86462\n64057 67167\n72767 73867\n37802 64263\n40050 89931\n7338 90804\n13056 82475\n30427 92737\n51797 77773\n4566 89720\n3849 53271\n30309 53521\n80330 81915\n7780 34808\n45996 61434\n44226 55584\n36049 93765\n17711 45227\n27612 82960\n12222 87282\n42162 77796\n8308 95234\n18050 99349\n18753 94314\n45680 68739\n37460 83210\n23741 44009\n8849 56704\n21438 81971\n34063 95031\n23897 76007\n56245 91096\n12556 36151\n80091 85892\n24129 34141\n20570 23345\n48 20836\n55824 90745\n50090 63977\n31645 93454\n13756 53174\n67304 93316\n302 15241\n47986 52826\n73077 96277\n65569 99117\n94 55687\n16293 60359\n71593 82174\n50065 80322\n11079 30082\n18641 68373\n2516 22505\n43316 57260\n51167 54343\n38722 76380\n43747 48495\n72816 80218\n37934 73308\n65570 97496\n13023 30731\n3087 47983\n25360 35359\n34556 67988\n73938 93987\n33978 77411\n35929 51101\n64072 96484\n8891 64937\n39674 66508\n12773 89350\n36793 97091\n62065 73385\n46515 48562\n52792 55593\n15534 29006\n22258 97083\n9682 86274\n95009 96177\n54969 77156\n26914 46055\n41239 68154\n4319 16102\n24869 38984\n57856 76711\n89729 99648\n72300 78845\n752 67553\n44485 64406\n29050 50484\n2121 52728\n23443 46211\n40399 48957\n22576 44308\n25679 63063\n45704 99447\n38422 43919\n70689 92974\n6944 47107\n63234 63366\n76932 95281\n66934 70377\n45940 47537\n59065 82053\n68494 81318\n40039 77301\n16393 76392\n1574 44937\n56504 69086\n46658 58163\n77587 86392\n488 16549\n8621 79287\n17440 45955\n15882 33064\n63206 75912\n40624 84972\n25690 98365\n64880 76811\n18522 23482\n24159 26146\n3913 75291\n2813 50041\n32772 79959\n16426 74936\n33621 74699\n201 83414\n2202 64416\n64765 98475\n9965 17591\n23852 26073\n42616 53729\n9156 52565\n27579 58172\n23712 85548\n5270 15221\n49496 76474\n13821 81384\n1864 52996\n31825 62515\n50433 84491\n23561 79079\n11575 76981\n56235 96088\n26615 85716\n76606 99240\n74392 78542\n36421 69882\n87237 97407\n87467 99091\n3242 19334\n46345 67092\n67038 74699\n45999 90162\n692 47357\n33190 88344\n34912 90652\n13016 96638\n7997 15399\n11282 70944\n51608 89672\n10348 46412\n599 70559\n28305 61096\n47741 69124\n7688 39520\n52763 79077\n48420 75260\n2878 37456\n84243 97487\n37398 37523\n60283 88513\n44226 59540\n45025 81647\n54799 94095\n61778 65398\n29818 89769\n35647 51106\n6416 80476\n49062 83417\n33028 67332\n263 72549\n19749 25837\n33381 66560\n55346 85634\n13478 23263\n53697 66927\n31131 89506\n83185 98865\n33161 64168\n6190 94418\n14269 41173\n3895 75103\n27945 88717\n26837 71423\n18099 80792\n42732 95804\n3729 43413\n33007 92428\n5668 44891\n68847 97179\n43538 58826\n37365 81734\n31370 56466\n47420 96251\n83965 89089\n67004 77740\n10330 94799\n51637 90162\n38427 47954\n38475 69957\n14199 99430\n45692 85046\n32141 89986\n16941 42210\n30752 59755\n61859 73938\n53042 58123\n39755 44673\n27850 56034\n43444 53035\n55590 88118\n67285 82388\n13999 82422\n63002 68415\n25162 70463\n89279 99463\n77396 81962\n30060 97171\n44317 99986\n4932 51805\n25279 38851\n31237 36046\n10666 50823\n54876 58828\n34358 94826\n82850 94057\n47795 96750\n11085 55926\n36223 55023\n1732 81642\n10053 96819\n55451 79107\n17758 32323\n15625 58021\n35362 72315\n3375 66652\n8015 65236\n24845 99360\n45733 58645\n52606 90828\n8180 25709\n17376 58840\n51153 59629\n29523 92345\n67351 84516\n20536 93634\n61988 67448\n26027 32016\n24759 65307\n1591 27603\n2019 25872\n3712 75889\n62940 71662\n85107 97337\n39729 42067\n21307 96179\n33795 56724\n46838 57493\n8025 61064\n48670 58414\n55263 85967\n13633 68865\n14584 28952\n43253 95887\n5154 42752\n39311 83198\n27991 73259\n40523 78490\n46011 97241\n42492 59595\n8183 23412\n16415 79634\n35948 74500\n46042 91877\n10643 42161\n13208 74316\n51338 56729\n4197 74315\n22437 32176\n22112 90784\n9857 66784\n656 74850\n13720 31264\n15266 32094\n13338 27152\n8162 45804\n54514 99276\n44128 79965\n1010 90106\n26010 63160\n14765 75987\n1387 27580\n86629 88909\n24324 89425\n5997 52513\n24885 46688\n4513 74727\n27547 76323\n63058 67536\n41754 48886\n33211 95097\n55039 64691\n22062 55437\n4319 42970\n4467 79495\n42340 60846\n19038 40209\n78802 79901\n26659 95253\n19731 22013\n47116 81766\n16224 48752\n52389 69177\n30609 48136\n38172 97330\n71945 82950\n11383 67580\n54171 84113\n12912 42562\n21483 83428\n24791 32087\n52442 73805\n61430 81565\n64937 97232\n5360 37233\n30448 70784\n24139 54005\n27774 89721\n50931 57032\n57138 83226\n55837 70475\n4804 18416\n55791 91587\n43507 91474\n92926 96579\n33075 58668\n32942 92458\n402 61142\n24543 87009\n19807 95424\n1595 45767\n9327 33641\n5154 79659\n44174 63808\n22425 97795\n5289 60626\n18387 96413\n62001 78815\n21900 49662\n58846 84851\n83422 88234\n18932 91296\n62634 96956\n19321 22757\n10803 93848\n63129 78754\n70819 96393\n38388 48117\n67990 72230\n29959 53025\n80955 94892\n19108 72916\n13154 16639\n19413 50922\n23796 76978\n33387 87067\n31950 83655\n59347 86413\n7522 60797\n29655 89570\n72715 99466\n76558 96173\n84 71859\n64387 85718\n57559 91223\n27746 91575\n38788 50491\n24440 79290\n25280 69668\n3775 90286\n44627 76478\n28660 66032\n13990 81553\n1740 57219\n20190 67959\n38519 69957\n26198 99284\n25761 84876\n79936 96769\n31833 70847\n4384 8421\n8121 19117\n30662 49266\n34010 66535\n37792 59106\n761 16440\n80124 87040\n45577 65516\n24997 25838\n24213 53200\n21378 27368\n38663 48164\n47862 91982\n5127 34987\n89325 92467\n64475 77319\n23620 90075\n3250 16004\n53866 92379\n82263 93301\n9147 94445\n2970 51992\n50609 78304\n12786 70329\n63163 83332\n10471 95179\n58505 75970\n73086 78149\n11811 45967\n43861 90130\n42410 62953\n17127 57217\n21023 81489\n83464 96081\n16696 22981\n61402 89501\n35830 75865\n40108 75354\n56458 71214\n8296 42833\n37132 89541\n58525 79259\n4451 67700\n1097 41036\n19950 32793\n18926 62584\n26750 58290\n60380 64592\n37175 61493\n37292 87121\n44757 55408\n62664 84192\n57324 70874\n44688 83744\n20885 85741\n16426 70760\n5432 91369\n31550 62703\n21110 37299\n75153 84672\n20598 96938\n61269 80137\n46267 87602\n3590 82687\n2191 7494\n80653 81825\n44918 82934\n17780 85615\n4970 89195\n26196 60168\n17672 62899\n66035 66907\n30564 75239\n65560 68386\n21165 93269\n1734 37302\n11058 58868\n33105 33182\n65936 70912\n8920 37311\n2886 28482\n14064 17876\n293 2585\n23625 96790\n45507 61515\n75922 76149\n57244 79269\n40850 84763\n79950 95732\n63203 69237\n21359 91887\n12749 42223\n17502 80205\n26257 90063\n25015 58486\n77283 84825\n21008 90497\n3510 32426\n66168 89271\n41498 79757\n65826 90762\n41928 61262\n45817 97618\n34408 86521\n49876 90952\n80428 94551\n79519 84451\n2227 92065\n21894 35784\n88616 88802\n12217 39958\n1854 70044\n71698 98027\n36502 64468\n39297 84893\n61697 81331\n29338 75954\n44829 85547\n64083 93909\n29206 82904\n35379 89449\n42653 71950\n38224 56791\n27144 69825\n31730 76686\n35715 45900\n563 72994\n33779 61445\n20448 99912\n20769 44833\n11473 30688\n25756 40133\n27105 41071\n27252 67117\n13083 86742\n26039 80460\n42515 84886\n25709 75266\n3993 80308\n52031 76849\n74492 86982\n47405 68745\n56056 76118\n29212 36176\n22746 85187\n39616 60571\n71681 87432\n988 49673\n1197 99317\n39271 89276\n86807 92287\n74452 95827\n53457 80074\n17356 52223\n21847 66398\n73729 79632\n24114 98871\n51649 62944\n1660 3941\n58562 88130\n35754 75560\n21081 50146\n26246 67827\n76467 89073\n8882 83892\n48008 99259\n24570 64764\n5340 10086\n3017 41475\n90624 98788\n976 39449\n36703 99641\n522 68868\n36704 58489\n19846 79562\n21981 69839\n6410 96130\n23077 84600\n29057 61420\n568 54059\n90755 99336\n26901 29757\n79382 93603\n19359 32279\n38665 38807\n26089 79947\n13915 69713\n35828 80985\n53909 71567\n55240 72702\n55335 98959\n12056 37763\n33042 79017\n52304 89850\n73611 96384\n38628 47315\n87825 99146\n33192 62708\n74829 80603\n2358 45600\n18342 63357\n79404 82000\n64963 89366\n65287 93882\n39203 83313\n63158 91046\n25565 44048\n67052 91310\n51762 68192\n69692 99209\n74503 86216\n52808 79893\n17478 46633\n2209 76866\n44326 83068\n27177 90206\n88512 96043\n43367 82634\n73463 91674\n33242 51028\n104 19941\n7575 39771\n9414 45581\n36999 66577\n47650 74749\n56948 64068\n36090 77881\n40872 51760\n13342 84495\n14320 88730\n9000 98120\n2095 6552\n64799 74789\n43561 75156\n64073 98488\n13927 50755\n837 16358\n76894 81213\n12817 47549\n26092 64645\n79423 80238\n41933 73220\n40029 62892\n76521 80081\n39630 75536\n10566 46091\n40593 84196\n48871 81184\n56301 57934\n17651 77010\n72872 81711\n8607 20756\n21916 40267\n4564 11946\n26504 85309\n7272 14702\n34078 85807\n3477 87586\n14882 32584\n21739 29965\n23513 39994\n36700 41085\n48079 95182\n53579 79399\n77609 93333\n53955 98661\n63393 70559\n9803 29400\n7125 70816\n2232 88464\n84953 91618\n5076 10084\n18695 51179\n78545 84983\n55619 58148\n48232 87076\n39859 53328\n64228 92050\n36869 53077\n68649 82165\n27695 89843\n11704 78604\n58971 69269\n38422 94251\n70878 79628\n37415 71133\n62855 90848\n53303 86936\n47493 73205\n47398 50283\n42393 96289\n71577 78862\n4278 30583\n25808 55726\n33370 95201\n5321 17662\n15677 67705\n20315 87805\n7920 64803\n36306 45304\n56549 85535\n36481 75368\n17563 69920\n22616 68771\n36332 89265\n27826 92849\n7124 51631\n26720 61160\n13975 50237\n203 44328\n50840 61231\n10107 74653\n63188 92038\n26395 39875\n1750 1928\n22045 45547\n52732 75341\n10513 47205\n4714 54637\n36270 71585\n13803 33555\n17883 97552\n24426 92957\n86815 90061\n35528 74822\n67749 74108\n49049 85479\n10744 69351\n23955 31480\n3048 45885\n57916 86864\n3396 53622\n12866 55565\n56980 81260\n46956 69667\n35797 47465\n29927 46131\n37356 58607\n28277 86614\n70391 71995\n17522 38238\n17045 59725\n36559 59027\n18262 74233\n12110 24802\n60360 85924\n52137 65237\n42122 72709\n63390 99778\n905 18799\n34722 67724\n3070 82197\n10106 66839\n16310 46061\n6073 75070\n53824 80704\n73875 73997\n16194 36221\n4215 23555\n23047 44725\n46346 85986\n38704 62112\n42956 46820\n8392 75478\n36247 68743\n58767 78420\n14106 14352\n14813 19405\n2581 76372\n10407 92560\n48039 56421\n55749 77547\n23425 64235\n14776 92097\n10072 24555\n72400 93312\n22628 46542\n65808 78257\n60476 62099\n32467 58981\n12947 59555\n64221 94367\n28575 76676\n22566 44737\n73090 84452\n34121 36922\n11535 38186\n13920 65661\n54523 75511\n40149 62179\n54765 77554\n41423 72695\n15274 78321\n50659 73038\n7795 27561\n50540 57147\n34604 38368\n26657 87850\n2748 83472\n34637 71016\n26438 38228\n82863 89183\n19331 84693\n38161 85844\n6707 58941\n50854 87140\n83725 90211\n25871 40657\n9112 72772\n3271 37801\n14264 76657\n54415 75541\n6685 17799\n16576 55279\n36538 64989\n30282 31599\n15118 17210\n34778 57107\n49183 58636\n19488 98881\n5233 25785\n2642 44550\n46573 47110\n80194 99106\n46323 94020\n13527 41388\n43437 89212\n56395 59810\n23479 53869\n17896 94569\n13842 36816\n39468 73856\n6576 89528\n46402 84480\n70839 81706\n60508 78827\n66452 75534\n16641 36786\n22947 47929\n61201 90881\n61921 85991\n34157 72638\n7842 38697\n24617 25951\n5297 86237\n24988 60781\n27475 94977\n10389 61591\n38428 99517\n66692 72663\n75868 78746\n17866 61426\n26197 95188\n12852 59232\n57348 64561\n33062 97536\n76020 77015\n9880 40016\n12770 66842\n57754 79631\n1182 60537\n19519 57719\n9254 67597\n44015 93579\n9870 53480\n20491 46788\n2452 56344\n4372 44551\n14428 90584\n3791 84651\n50143 68962\n63469 98567\n7944 28619\n62659 99214\n8473 97667\n10657 62715\n7671 37699\n40599 91161\n6934 46612\n69208 87042\n54765 61839\n22349 35381\n50362 60189\n65454 97160\n767 85757\n83615 98831\n40463 49737\n13758 39758\n41494 60689\n64486 78736\n19923 33839\n19387 45469\n8236 85657\n8245 31325\n37196 87239\n28852 90622\n18166 36273\n11268 99326\n73092 88814\n12996 28255\n27213 43499\n30694 74414\n6262 63854\n26242 87095\n62993 90287\n1922 37108\n49230 89967\n17156 51558\n12033 29252\n5543 91231\n6272 61842\n28064 45662\n69077 98476\n13106 76635\n37950 87744\n5415 41051\n66909 90622\n14604 72264\n42269 87868\n87709 95210\n32925 47914\n84519 87697\n14632 97347\n22611 89769\n36168 64951\n44874 86470\n2261 64480\n16049 44386\n81164 89721\n574 25106\n34055 68612\n10912 72745\n32519 88854\n22649 34705\n15245 97425\n20651 92663\n9989 73646\n56018 76930\n90507 92407\n14393 85252\n24077 56556\n409 28498\n48999 97490\n46184 72516\n27171 97279\n59610 87519\n37965 41085\n2147 67899\n16374 24923\n34244 73912\n38762 91662\n73161 75386\n17194 48522\n58948 79545\n71199 84983\n11903 24411\n62067 73795\n64326 65638\n1765 24472\n86517 94483\n2365 57975\n43367 80696\n38762 81492\n7407 66605\n62919 84360\n127 69991\n9765 29457\n83090 99395\n19408 96434\n34384 55672\n26644 99193\n47753 62374\n10515 53260\n24892 71706\n50740 68743\n20293 40949\n23642 24314\n40726 45854\n18401 81171\n1351 86066\n19362 27231\n93836 95883\n33957 79676\n31070 43267\n41365 72031\n3274 82478\n10037 32701\n59723 62895\n71972 98014\n43999 82316\n36405 50462\n42437 98173\n31878 73801\n32077 85029\n84577 98159\n17777 51083\n37439 55728\n10696 22121\n5882 50983\n22089 83685\n33056 67609\n70508 88882\n9880 85935\n3412 22548\n51351 65148\n63510 89474\n19572 93644\n36081 78511\n56691 65630\n50278 95957\n5208 88683\n77947 81209\n29366 42826\n564 67688\n33141 53694\n3108 56896\n45192 53265\n14795 97857\n6880 93595\n10259 25910\n35549 88468\n22083 32966\n29757 89420\n25241 36545\n19087 23874\n9295 53231\n1486 47056\n27353 77660\n54293 94015\n4002 67326\n78685 99987\n1553 48354\n3944 18016\n6444 57616\n68618 82822\n2 99266\n58000 67082\n74108 97618\n14462 57134\n28249 29770\n84562 96028\n52523 72670\n8307 56447\n42434 67339\n57332 74666\n28463 72217\n91039 96148\n2611 6501\n12163 63522\n21028 22535\n20407 80818\n55485 61470\n5882 22462\n50322 86300\n39609 54721\n78947 94927\n33024 86935\n28044 82774\n52501 85321\n16085 24506\n17705 18622\n3261 44420\n2653 22195\n39212 42460\n47712 68992\n32568 76770\n55088 57865\n20723 45221\n86363 90148\n48951 92223\n20874 31389\n30232 51187\n80231 95460\n53261 75032\n50530 72660\n41628 42989\n8811 46304\n60468 76359\n34341 77224\n9358 10696\n12729 88405\n63063 97073\n65693 67269\n65222 90533\n63445 91775\n844 47301\n21754 56162\n14132 70263\n10923 98403\n16605 80323\n30287 98332\n5777 76695\n1820 82323\n25981 35850\n13121 63711\n42418 78370\n26766 89703\n38362 68794\n31090 70438\n50994 60471\n49772 80567\n12513 82059\n45474 85874\n66652 88418\n8224 85947\n16823 83412\n47905 97726\n15080 89005\n55250 71397\n46956 59293\n16193 21279\n77207 88794\n36393 41393\n25416 86368\n2361 26141\n2795 98306\n2922 54350\n59195 86300\n45558 95643\n12798 74255\n7598 30961\n23554 23639\n53645 83511\n52718 55461\n35470 36017\n2825 45055\n24260 78157\n9592 49105\n18107 77891\n23941 73137\n10421 43314\n38537 59785\n1920 78400\n70739 96305\n72781 80314\n34830 80051\n76451 78737\n39291 53074\n58998 63290\n27476 48612\n22065 86664\n30713 32613\n19174 95682\n21421 99447\n5033 76358\n182 73256\n75897 91018\n35082 87803\n28949 96093\n20415 30524\n13067 98590\n61951 80110\n83779 98771\n51803 72326\n38667 79274\n23502 53740\n69783 99609\n42931 90020\n4507 38826\n14517 58306\n85504 91275\n44014 71165\n60703 73509\n70119 81856\n3533 33673\n9244 55758\n32029 85552\n69345 84848\n52655 57321\n46300 52831\n27075 93769\n60150 60860\n15961 18009\n8043 98312\n11746 25512\n80080 95832\n32064 59537\n23055 57494\n11790 32013\n58849 68864\n10181 86630\n33155 82275\n12020 98561\n11955 59742\n38745 53980\n564 7091\n59855 97145\n14663 59957\n32697 46091\n5448 29741\n51009 56787\n33864 82686\n77173 80936\n3290 56231\n55815 73125\n7769 36814\n32130 91339\n29785 64321\n15799 78908\n16022 74518\n76497 86932\n11792 82510\n75085 79587\n10127 98555\n67776 90596\n9740 81494\n12723 71483\n26924 48591\n45254 48139\n65684 73779\n40132 50449\n6874 91661\n47784 58498\n19827 49016\n37280 46627\n7670 78449\n48421 80931\n43453 95715\n87386 93514\n61769 67584\n14515 93569\n3906 74521\n66272 67292\n33301 91873\n5092 85291\n18807 82310\n33455 66326\n42671 43320\n30973 35036\n87674 90476\n18187 59075\n6436 65397\n14853 97086\n15250 79740\n53940 75318\n511 91105\n35475 53649\n8340 80505\n1713 78582\n23948 53744\n36845 70316\n39446 45113\n55141 77693\n64521 86696\n63937 81738\n42460 56141\n8003 92345\n41054 56322\n24555 65732\n47761 66095\n50438 92662\n62659 66983\n34545 64313\n18278 31873\n43067 68020\n93280 99248\n25255 54197\n28103 30712\n61818 87523\n16236 70178\n12489 30882\n26322 34657\n5428 28687\n28443 62190\n60974 98551\n77415 84835\n36620 96190\n44777 65502\n65732 82428\n57199 81077\n7385 70299\n60276 73230\n40462 53053\n5359 20312\n83444 87241\n13253 85281\n5428 65955\n57781 94378\n67138 70685\n57405 85305\n31879 67348\n5696 85353\n47777 73068\n89354 93613\n8266 85192\n85062 88017\n38935 65358\n4914 33026\n10205 51177\n46754 87377\n71107 81182\n15851 68797\n3684 30501\n723 36429\n26198 42560\n21779 59073\n9837 77499\n81652 92016\n19688 88641\n30724 60821\n13662 89052\n20979 55749\n5638 25448\n13930 23742\n7717 66250\n4207 18642\n68029 97207\n40976 62045\n12371 18179\n19072 48593\n18100 25910\n155 4095\n10648 54163\n10064 12330\n36925 40265\n13710 14003\n10273 76711\n47682 59741\n9891 96645\n1830 22117\n61051 88400\n48672 88689\n46837 93238\n6459 32877\n13312 14341\n51978 87231\n6817 91563\n1348 71359\n57915 73040\n5870 93593\n41050 93899\n11995 66978\n32702 58628\n15244 17145\n65037 99493\n25364 32366\n42518 81622\n9770 88964\n37940 81112\n25761 36114\n9416 52551\n59932 95356\n8409 98004\n58319 69696\n3053 53629\n19461 47728\n60571 94128\n16489 51419\n13803 40468\n6285 55779\n19126 77397\n45547 57226\n44331 52472\n23089 27222\n17067 53102\n21886 63304\n410 89405\n6627 29082\n8081 95737\n45270 75661\n29128 74893\n70071 89563\n27333 71258\n82983 96019\n3137 89677\n16583 57968\n6992 25561\n3087 64632\n2840 69457\n37374 45522\n34369 47724\n10011 89289\n10003 37866\n31318 94215\n1021 92789\n42200 92583\n4208 48250\n46087 59790\n54704 59525\n27067 35781\n26079 48078\n23154 61897\n6946 46934\n3352 86097\n19900 44274\n6067 36143\n82583 92701\n68592 77092\n54551 75008\n65875 78245\n4051 75595\n65489 75861\n11955 34995\n36476 39432\n6194 32216\n37979 61551\n33979 95408\n87381 88821\n49621 71362\n4688 42477\n7094 93554\n66249 79071\n16703 37474\n7001 50660\n49496 63042\n71566 97988\n29183 84594\n84158 86787\n55760 82967\n881 34731\n6850 54460\n85199 86208\n36330 93075\n21067 77798\n23705 59005\n71177 84513\n46595 58695\n78200 91581\n39994 47730\n5326 56160\n36727 71398\n31367 94673\n42009 46116\n18320 29538\n67874 84908\n38467 38613\n37318 63085\n20484 84827\n57849 65589\n39879 66101\n75133 85593\n285 34739\n16851 35979\n4297 81041\n13621 84459\n83991 86155\n42612 89623\n45737 79811\n19209 31472\n57629 82470\n1594 7643\n66297 72616\n5956 72985\n22720 26006\n27219 99766\n26086 77557\n978 32729\n57568 87652\n6923 32563\n484 34277\n21020 65347\n10004 32665\n10585 63160\n3957 87296\n26760 64906\n48381 62709\n52081 83695\n80476 89938\n5637 48440\n22074 79998\n11196 40470\n89076 98921\n11044 61423\n27422 27763\n23479 89909\n21003 84661\n91180 95253\n23889 58740\n8426 96513\n43635 63541\n30589 56173\n9460 95786\n37956 89749\n44544 60226\n1714 68753\n21989 99946\n29302 43777\n29149 84758\n14459 82413\n41683 41861\n11463 75638\n37767 92847\n32262 84562\n34005 71679\n32627 56235\n65414 92409\n62527 74370\n8882 92229\n63268 82355\n303 60751\n8149 76244\n8818 40042\n22649 77275\n81433 88829\n39984 79256\n72461 84918\n8879 45922\n1415 31435\n75338 90527\n6082 79005\n41035 98522\n38628 43995\n275 15670\n17044 79513\n19505 33400\n45523 67597\n25063 76503\n49672 83895\n18914 66605\n56508 58028\n27330 56577\n19474 42774\n1470 59849\n8932 96741\n1328 18540\n23356 75100\n7114 35667\n3408 36181\n1255 93574\n6772 33478\n28502 90933\n17676 33770\n14259 97867\n40468 81267\n46082 94010\n47724 61807\n33676 37377\n26339 42164\n12638 72127\n17114 34610\n34292 68545\n64407 96972\n960 18764\n48868 69369\n57122 91038\n11044 67739\n65085 96245\n13439 79847\n39462 68630\n19386 26015\n41332 92531\n7430 63506\n42578 76363\n38010 40165\n59390 77665\n6674 93311\n10621 18379\n60179 88690\n45032 99618\n14542 71343\n54534 71192\n16715 90582\n28309 82871\n73163 78051\n66478 70329\n47440 59931\n4378 9406\n82213 85236\n49372 59854\n53227 56799\n39089 90254\n78860 83352\n11475 47816\n1759 35347\n5058 33617\n62254 80492\n45680 96794\n17309 74510\n28473 31126\n7756 59130\n55087 93263\n42269 99304\n78080 93912\n69681 78532\n51012 99055\n3659 27791\n3873 6894\n29848 41244\n33904 60636\n12333 52557\n11226 14168\n75727 98872\n86075 92794\n3134 6361\n24916 54191\n21657 23692\n45110 99341\n59123 79062\n63971 85856\n5963 91559\n9560 22408\n43269 71590\n14879 76529\n17334 24924\n33719 39027\n12072 91302\n46234 79157\n36937 99037\n6304 75487\n41060 78631\n11293 87834\n73854 73920\n35835 88627\n6746 85529\n57538 83866\n4767 46207\n55858 82732\n5435 75143\n5055 21180\n78905 96257\n4497 59329\n8304 10291\n22364 24728\n35194 38164\n36369 37708\n28990 50632\n16760 38280\n19076 30097\n19985 68205\n2380 18568\n21777 75661\n37610 66664\n4554 32094\n74516 77185\n32595 94345\n24290 46399\n18992 80797\n43904 73510\n84964 89141\n30781 75862\n5788 21538\n842 46054\n9147 65702\n5908 88847\n6445 56114\n14952 44565\n17184 88076\n4177 17095\n55147 60188\n6535 18829\n50066 69952\n25776 29863\n8507 91481\n10962 46723\n24713 70077\n64671 92770\n19254 53887\n22601 84101\n47921 92684\n487 5516\n9767 40230\n19086 70120\n57242 64899\n54035 88756\n27655 53532\n14877 90291\n45682 67571\n20619 82250\n50729 63078\n52892 61173\n455 2685\n96118 99810\n83311 95115\n68256 88376\n65044 70192\n48374 68299\n21731 92556\n24636 31523\n3674 11213\n60006 62740\n16222 58439\n33946 95301\n30248 52466\n37809 69252\n61687 99168\n5828 96243\n153 35764\n80802 89231\n41002 80824\n55274 92904\n20817 72445\n59749 74836\n26465 37818\n6777 83130\n31055 68475\n17101 75278\n19425 92773\n24908 26789\n60653 68487\n74348 88884\n2410 68986\n744 19863\n18003 95708\n25965 30165\n1993 85825\n5741 45110\n62234 73764\n23687 79911\n46730 62593\n35424 55102\n39522 60535\n39025 72205\n58910 63196\n17411 54632\n32739 41446\n22431 87326\n1631 65336\n15197 17875\n53651 65241\n34675 70448\n10469 68683\n11925 24293\n18419 30976\n26964 87020\n4514 58900\n37143 53343\n46642 76849\n17458 81100\n89405 99922\n15859 60919\n30530 80101\n24066 43221\n77407 92434\n77238 82701\n1640 95497\n9337 77678\n20423 68897\n2940 19346\n61889 79160\n37165 86599\n4682 71386\n73554 91445\n5078 42037\n29458 54982\n8811 70881\n30471 49637\n53807 54121\n50545 70448\n53413 68568\n40500 43444\n6896 81040\n5940 93143\n22022 80442\n16661 72216\n20884 62782\n55613 93597\n27549 94018\n19833 40912\n1135 95989\n29413 57045\n51593 76716\n11341 78364\n56947 71318\n52168 89483\n14091 83390\n42327 54496\n61355 78802\n16362 32958\n42946 90073\n44712 77124\n14314 18352\n7972 9125\n80472 80625\n24254 66990\n5102 9637\n27413 44233\n2987 94071\n37347 99104\n33482 95845\n52261 88855\n43216 48601\n35191 35514\n41344 98673\n51444 80017\n19444 44096\n1651 59757\n14992 76095\n77426 86125\n41259 77528\n17413 39406\n83347 92199\n41726 68848\n11081 76917\n46611 74910\n12244 64097\n35403 95514\n28009 95285\n2306 33172\n38539 42484\n22203 78735\n18234 39405\n25850 99173\n3966 29004\n28136 57393\n14168 27328\n21207 85639\n7536 36721\n26542 27970\n66453 87043\n3909 10700\n18498 92255\n35749 79744\n22061 90496\n9191 22190\n59834 80225\n5641 71343\n4679 83269\n93639 97490\n45036 85251\n76336 84089\n25041 90973\n54765 89839\n21471 88693\n5035 94309\n74090 75476\n28788 74395\n1478 75368\n17915 21522\n30304 89990\n9001 27932\n2574 53965\n73562 80688\n6429 98025\n29411 84750\n14613 33529\n56250 68616\n52407 60819\n81508 81520\n62356 78043\n18865 43493\n78789 83532\n12611 80673\n37659 89076\n63439 73548\n66236 75414\n72922 86274\n27209 79349\n67398 85553\n2078 81318\n182 32720\n56561 76711\n22856 26871\n11829 37388\n17326 53343\n42600 54106\n32560 71712\n26704 89434\n52004 87309\n20038 47223\n26858 65432\n650 5736\n52964 61841\n5341 82860\n11684 96478\n50685 67596\n6250 87371\n3248 70375\n78139 93931\n4535 42169\n61601 67883\n52134 83751\n75140 99498\n17962 73032\n80421 91469\n23290 82261\n7835 55422\n35563 38664\n37941 56136\n40940 45896\n50037 52497\n67755 69805\n17312 68942\n1618 57505\n83230 89993\n42329 45060\n62307 96846\n61226 63005\n69552 75067\n29809 33936\n11744 89497\n25187 77784\n1749 71087\n58345 86607\n55136 92121\n80345 91845\n58234 59757\n68066 74310\n73619 89181\n53249 54887\n34713 41349\n7588 66473\n30127 77267\n38522 86969\n26578 48737\n16635 63081\n51498 65947\n58392 93794\n8651 47001\n47402 49524\n64151 86419\n97850 99610\n8431 50915\n82112 86366\n26327 84195\n23546 70230\n62816 65719\n66867 75471\n38858 47069\n13635 73048\n47190 74231\n74656 78033\n16575 44716\n6608 66505\n47915 82475\n29776 70721\n23262 86633\n26829 37213\n40307 53227\n7010 39162\n10345 68289\n54522 67827\n27547 79791\n6738 34118\n19349 49026\n42199 99934\n314 77651\n56586 87293\n47771 97639\n1714 19471\n45258 47565\n48314 73356\n12092 16956\n94499 97230\n17666 28404\n23092 72864\n646 32483\n1122 87240\n13358 69876\n23810 83525\n38711 41264\n47686 85288\n47385 50224\n11120 58876\n26003 86004\n20370 72542\n66937 79472\n9993 91555\n50914 61863\n8171 76155\n28720 54296\n1784 44984\n32885 54622\n32036 34632\n54597 69692\n30705 35315\n15051 99456\n54008 83192\n16767 46987\n44837 94748\n2529 93250\n15140 65274\n11221 64346\n29067 43283\n55421 67967\n17508 39536\n35729 50254\n39549 56886\n33901 86714\n88175 92369\n49007 53537\n8538 99030\n20127 50799\n84745 89666\n41014 60549\n29638 31469\n63887 74315\n44309 50271\n60050 92406\n31677 83117\n8737 36201\n9471 39966\n66826 97492\n8967 72250\n63695 65347\n71112 95483\n59674 70786\n64736 79598\n14457 49139\n415 4366\n2438 93786\n12045 33409\n16879 30282\n27634 41465\n24473 49280\n78532 99368\n12189 99060\n34554 92005\n13451 69136\n10733 18960\n89772 96093\n31561 83552\n37699 75553\n91478 93665\n40970 66419\n34484 44242\n49754 95287\n32688 47145\n44636 58029\n15146 58013\n53173 81014\n8758 40937\n42241 53030\n23778 82279\n61851 95106\n48652 93502\n9956 58128\n31796 93539\n40919 58610\n14993 19039\n1289 85057\n89222 98445\n50890 52265\n17383 58230\n10599 54987\n42169 44969\n58614 67233\n20258 25707\n4202 64935\n49308 72790\n42295 52454\n36649 73278\n7354 90190\n22877 80083\n35585 51648\n18848 39396\n52702 87088\n30708 87235\n6924 9182\n21068 87805\n30956 98986\n20939 55895\n13215 65208\n19099 81102\n68349 96224\n35428 65868\n88024 95690\n37408 70367\n25032 28534\n16950 69320\n57978 85657\n18585 84758\n9137 89564\n36306 44858\n38224 76664\n23285 91430\n18679 68967\n35735 77119\n19274 21884\n35646 52774\n27836 68372\n17580 46801\n48083 87860\n5284 48176\n14155 60312\n62106 72619\n56862 99050\n12855 68260\n43269 46874\n35577 85955\n47134 60628\n41269 64335\n2726 26224\n4850 93600\n51443 61681\n56564 82688\n27544 55922\n5648 72886\n54476 85610\n4320 84823\n74523 91408\n57797 94921\n17826 27317\n39403 96871\n27756 34792\n22436 69080\n41130 79367\n19384 50179\n640 25054\n34520 51535\n92784 97144\n92342 94658\n37614 94457\n40499 57218\n4232 31932\n21693 53900\n38608 59670\n17378 93878\n1221 74008\n49075 59258\n3385 20671\n18095 31406\n22790 75089\n24655 30954\n2854 74266\n31639 75449\n48096 72231\n23741 47380\n42706 81780\n38823 45816\n55772 96283\n8255 51785\n20020 77018\n64172 85744\n41870 57922\n22803 38447\n6594 16318\n38344 59886\n8976 62386\n29734 59578\n73855 78005\n61461 89031\n19057 66366\n81167 89552\n66845 88648\n15278 50832\n53927 99279\n35822 88271\n6025 96862\n58637 71736\n20499 97694\n14748 94648\n22313 28352\n30785 51220\n30123 43091\n8659 54157\n48700 93572\n16618 76140\n54828 66198\n38812 79612\n29207 79938\n28352 28731\n18282 62158\n17652 80334\n22011 86436\n78264 92715\n9784 60212\n33806 91987\n19563 82447\n29463 63724\n9425 84250\n46537 89317\n83210 87077\n29098 34155\n33767 62036\n1896 64423\n22878 53201\n5521 91713\n7052 78106\n41653 79680\n44310 75712\n320 36762\n49390 84687\n33480 70392\n22820 25081\n25322 54166\n12364 25608\n49424 57755\n6165 69601\n37 64929\n36082 95288\n37359 72114\n31838 65228\n32343 93169\n35153 86055\n43651 91090\n44107 91470\n32698 74931\n12891 61581\n76295 80335\n13039 50593\n3052 60876\n41695 75880\n43360 85178\n9848 42025\n3938 95685\n96559 97527\n59190 90682\n71436 96788\n64164 68252\n39527 95161\n78196 95484\n52013 80789\n3731 97393\n25540 61201\n56532 95127\n22064 33781\n44421 61774\n30533 31223\n37707 66074\n50231 96300\n31024 47356\n63787 70616\n29617 57385\n81505 95482\n76370 88478\n66130 75681\n1618 28721\n34710 59717\n15348 85007\n28726 60772\n13785 19085\n74702 75738\n29635 33815\n6070 46151\n59845 81675\n38260 38502\n7371 59842\n38644 52649\n10217 17128\n54221 93863\n4251 89186\n61995 97133\n47896 68698\n74289 80362\n85271 98403\n6582 20335\n39635 45429\n77797 92837\n10492 17447\n39123 56341\n52644 95427\n349 17625\n92985 95755\n52786 88449\n26799 34080\n49636 51460\n17622 35918\n17713 77495\n5810 14357\n23524 91439\n81454 91859\n9679 79248\n46817 55811\n6891 78503\n30999 57377\n14747 67481\n3227 90026\n11644 97909\n48596 79873\n15105 95715\n13460 77443\n81585 83053\n23141 72625\n2977 99201\n4998 50042\n10450 89906\n14178 85155\n33393 57673\n49358 50594\n994 67407\n56661 87836\n68859 97263\n35264 88826\n67046 73911\n21113 90552\n45848 62271\n47669 71245\n30367 88844\n62057 93733\n32579 48881\n4141 96793\n27890 66798\n16312 30684\n27026 71668\n9460 41305\n20253 96741\n1484 44918\n8425 53562\n53356 75555\n64945 83429\n43885 59764\n49330 91165\n6275 86346\n46509 71932\n92272 99674\n8371 35874\n11016 84699\n16537 41290\n2844 86157\n75215 96207\n4790 96508\n12389 36151\n41736 61244\n79688 94641\n62159 79502\n18909 43505\n57704 67755\n20145 30304\n12248 61446\n50866 65049\n51787 90689\n67638 91421\n73667 94086\n44018 62778\n9817 89812\n72849 99942\n3297 61905\n69888 94457\n76280 81288\n36946 89185\n15674 97593\n26378 57892\n26892 29380\n44245 45790\n13769 69404\n19298 99250\n42701 71508\n29743 55590\n68857 91182\n3479 42289\n40582 86059\n9426 25855\n15377 85393\n32599 74260\n23315 33068\n36367 46862\n66768 81400\n33808 38776\n63341 75752\n15211 91344\n14046 70479\n16836 67609\n24105 36772\n5168 39282\n33014 78722\n1620 76099\n66755 85991\n37023 62950\n5455 42111\n18780 83063\n35919 44717\n59381 68814\n47997 52681\n8999 41351\n18362 55714\n22030 93464\n57316 88112\n8737 14950\n6575 69007\n35633 48115\n44923 56505\n54042 67245\n73265 87953\n36623 99593\n15069 47942\n10906 12160\n20067 72580\n26449 54823\n34888 69548\n46760 59698\n24862 67238\n31089 75992\n66250 68519\n44497 58198\n49285 72058\n17413 89921\n5017 21416\n17472 70772\n15140 81560\n65372 79548\n24247 79128\n25552 25972\n41567 51203\n56616 93024\n48005 98721\n15626 60569\n37193 72434\n50810 88768\n10207 45665\n82 5550\n45811 89953\n22649 55397\n2762 90057\n23350 91663\n13602 82463\n49471 52860\n41482 85519\n32122 96565\n59852 80090\n56929 61464\n4685 82344\n430 26850\n47695 86200\n14407 29561\n26511 88487\n19158 51668\n6970 17933\n62542 68838\n64896 90103\n86804 88450\n24414 44100\n7313 9532\n35998 48026\n73733 99735\n21444 66421\n25777 52399\n75268 87220\n53137 87276\n19208 42869\n44405 59632\n36432 52551\n24178 67765\n11555 91340\n61213 89870\n46074 98568\n66460 70281\n35313 94155\n1582 58372\n8324 86429\n38194 58690\n54891 75254\n54723 63877\n34409 43152\n12306 74587\n75268 92886\n34177 77013\n17611 42395\n30817 41399\n35684 50551\n16630 87591\n42308 90579\n62358 95193\n41628 65077\n93078 97338\n52118 65124\n46413 97111\n55786 98839\n34712 98754\n620 40347\n3478 30624\n68860 82267\n32375 57281\n15737 70937\n72867 89920\n6516 37765\n82206 82329\n2909 92798\n6675 69114\n24528 50990\n9597 34748\n72758 79959\n42978 75514\n27046 57339\n95002 98173\n36158 81355\n1657 93482\n5883 54964\n22125 77319\n9455 86749\n72082 77461\n47111 88613\n1148 6414\n67473 96775\n36184 68027\n1178 87441\n8962 53820\n280 19138\n7225 98276\n42507 80523\n60106 96405\n14280 48795\n48980 72639\n51909 75314\n40285 81979\n39360 46367\n20790 32997\n35124 71387\n39806 87549\n14764 87722\n42570 62287\n2725 73820\n17669 54356\n68312 83437\n14142 59322\n13641 63012\n38486 52798\n33698 74207\n77913 89885\n1553 31359\n66962 68252\n27039 74947\n42773 97162\n33331 76603\n462 85299\n52785 53465\n17749 40389\n57756 60600\n15905 47698\n50795 85313\n28323 75407\n67646 82811\n18075 52449\n24803 29344\n61514 69637\n40117 73267\n745 13766\n3867 18343\n77240 92902\n21437 58607\n56137 85315\n18242 58108\n49468 97184\n65932 90405\n47939 54278\n54407 99096\n23076 84429\n46216 79314\n37826 98676\n72372 91014\n28405 79448\n55008 94448\n27090 69574\n72071 97669\n36385 96969\n27812 49793\n28086 51101\n11197 39715\n34270 97950\n19592 50654\n8736 37994\n25979 49891\n18411 28988\n80217 90115\n71038 79592\n9937 47182\n25039 53519\n41322 84941\n5057 6788\n56736 56983\n20667 41332\n82184 84406\n44757 45305\n33573 47076\n28945 55685\n20624 72013\n88139 91003\n57511 94601\n8097 86901\n47753 53255\n68281 70969\n45631 58083\n54256 86112\n66632 86160\n6606 90169\n55666 71301\n20611 21709\n2819 14062\n45084 49813\n30489 98461\n13100 88216\n529 60208\n58160 78149\n314 71605\n11951 25359\n59193 83317\n15534 89156\n23058 72874\n63662 87843\n4500 56749\n11870 50016\n9770 25854\n15778 76187\n10235 22245\n55127 74460\n40444 89753\n3003 56752\n53070 62490\n29359 44754\n62174 84745\n23121 62075\n25897 32163\n46911 48591\n22671 43439\n10872 52322\n2859 72543\n51596 82350\n42754 77461\n32979 47290\n1864 79644\n53327 71932\n74963 83206\n28337 50337\n28950 65073\n17898 58506\n15994 38045\n12815 69466\n10049 57323\n14818 31227\n45900 98407\n23547 87835\n14223 64946\n33284 45210\n65925 88500\n33286 49318\n10350 24721\n47919 96049\n10316 38255\n35328 88072\n3978 7871\n49898 67484\n35894 49717\n85831 85981\n72041 73555\n10281 16985\n3480 9369\n16196 46676\n70867 98437\n66693 99112\n4546 78688\n70804 77392\n48466 68232\n38456 82315\n13805 74847\n14378 25832\n12837 60878\n18529 33108\n69668 75554\n25900 39615\n15059 80346\n76696 89599\n29041 84513\n33659 64943\n29255 41384\n68199 86997\n78167 78272\n60007 82810\n30002 52304\n10361 57922\n16447 35763\n20890 70138\n23257 76631\n60189 87551\n48183 56504\n30444 94973\n68502 88003\n9305 33285\n13443 95169\n6422 44848\n39139 46485\n21395 47749\n56375 64178\n43435 93629\n21933 59926\n97854 98747\n48394 70719\n37448 78650\n48643 78524\n78354 95904\n34706 59016\n33588 93800\n78721 90264\n6238 93162\n64853 81880\n8240 41377\n18129 68315\n52489 63761\n76257 89234\n10312 42090\n26525 38258\n5404 65152\n8517 74444\n28498 36197\n14036 67962\n15292 99301\n54146 58215\n25814 57043\n38356 70141\n24795 91813\n79341 82247\n36578 95329\n26319 70801\n14884 63431\n1957 28946\n55062 88898\n21335 50994\n76342 91890\n5509 63250\n30316 47538\n42650 84680\n8055 61624\n19723 21427\n4391 10656\n71529 72290\n6670 73892\n7267 17146\n2981 74909\n27404 83850\n12049 88699\n14087 73212\n38488 54337\n22383 42174\n12512 25417\n67204 92250\n16915 46880\n34308 93317\n62634 94084\n9173 98715\n66888 81575\n40287 99820\n42676 48931\n19280 43979\n91549 92657\n57798 76513\n63560 93434\n84256 87997\n94283 96492\n10849 91317\n9121 88622\n31518 93626\n36225 72312\n11066 22488\n54287 72431\n8578 44762\n42030 84281\n15009 27958\n15854 96808\n32030 83780\n66901 96401\n15904 73990\n650 41115\n34313 86163\n47678 88353\n12614 64441\n1212 6726\n21118 99536\n60524 90890\n2522 95267\n38887 41625\n54912 67322\n43628 69233\n20322 25607\n12074 17495\n23793 75998\n14248 19290\n5694 75412\n52885 98889\n70283 90921\n70208 94747\n6329 76866\n55510 68065\n10466 30861\n51825 91233\n20690 74843\n2646 68396\n30145 45423\n62383 74695\n11240 43375\n10396 50930\n7893 96927\n24805 29928\n30403 40441\n34292 37875\n77700 85587\n43355 71824\n32683 55490\n48494 64772\n19581 26978\n59057 82654\n37157 79541\n5876 72584\n10860 17719\n37700 90338\n9759 96606\n20348 28675\n42416 94564\n3544 75842\n71548 93088\n13768 97480\n14328 79364\n36626 71905\n10948 44414\n72994 77753\n75261 81793\n19407 77885\n32062 91354\n6555 52804\n19822 87723\n6032 93886\n19537 23604\n51765 84717\n6620 85542\n6673 58090\n5249 95194\n24084 92204\n58941 67621\n72256 89631\n49479 82846\n39251 59002\n15229 25808\n23361 62581\n38207 46174\n75648 86247\n41715 97297\n9637 64384\n6035 91034\n37166 62932\n54341 69234\n840 76337\n93958 96507\n47468 93091\n32108 49206\n2611 30397\n53213 80841\n19840 63176\n7872 17496\n18841 37328\n6287 63782\n56218 60569\n42459 50093\n10452 87191\n33580 73656\n9343 90718\n22539 62663\n13545 49158\n221 24372\n12460 64749\n20305 68478\n35505 67865\n23404 51086\n45741 75278\n31921 77064\n31350 60481\n24643 96857\n80260 98509\n83010 85583\n37574 65474\n32145 37552\n75791 76207\n37191 92452\n21013 48295\n72438 84628\n38814 89495\n1159 24540\n19445 41993\n80405 97550\n2106 3262\n2982 26873\n51034 78186\n34076 99364\n51738 90971\n72785 82177\n3180 86661\n30789 98638\n28359 97904\n81109 93461\n1544 22221\n60383 87280\n14099 72606\n29513 35822\n51415 51949\n15388 41077\n13819 22719\n31646 66366\n13567 68310\n25520 44230\n4479 43057\n84650 93032\n6052 16450\n62952 94742\n43849 54742\n16306 83232\n56847 95456\n64371 81552\n28124 66987\n70053 87649\n93744 96405\n16473 31138\n3476 64659\n59340 66980\n11243 21230\n12229 49588\n76178 86149\n29155 84871\n664 91118\n28756 32991\n27724 82671\n23419 77252\n2728 6513\n86203 97206\n19552 82092\n3928 50099\n11048 91768\n8420 70327\n13558 18023\n11678 34551\n59140 66294\n48384 76238\n63572 80131\n12850 96651\n25322 54803\n61991 92892\n64608 68953\n36914 78678\n3410 77952\n7681 26874\n24917 78316\n80392 96395\n8209 79243\n18694 42574\n56865 95625\n18141 52414\n21221 22363\n45795 99304\n40667 96273\n729 87211\n17889 99702\n14068 91712\n73452 88447\n66642 76683\n40330 64228\n36874 56262\n55223 87931\n63797 74656\n15508 81096\n48052 78611\n34484 69898\n37701 57303\n41315 75753\n31894 68309\n19061 61811\n14527 37211\n57744 90930\n31768 58331\n73246 93572\n21049 64975\n70658 72306\n15927 33465\n23356 87936\n964 72536\n792 62543\n75378 93697\n20616 38409\n15783 72468\n29302 88837\n77668 90318\n20765 33989\n41609 69847\n44358 61538\n14225 57683\n8005 59328\n36082 45519\n41454 91820\n28406 87933\n43996 52718\n39878 74871\n3008 44933\n25797 74360\n35600 41608\n19624 96456\n39398 81468\n731 74117\n25897 49048\n20441 81810\n30670 76165\n2057 97213\n93847 99592\n1149 60042\n24108 93346\n24657 91397\n25750 63585\n39674 72032\n18022 24632\n4200 68356\n72693 92870\n47362 58959\n22073 76606\n44553 95970\n31219 76894\n24497 92982\n29210 61848\n15677 40044\n41837 83753\n11780 49139\n34677 65265\n28992 31908\n10396 54110\n47798 58302\n43709 92791\n12052 15799\n221 53707\n57120 87447\n40924 85195\n18009 90094\n18081 90095\n53154 85894\n46698 99465\n44562 47950\n23796 79270\n2726 59621\n49749 82417\n625 75769\n33280 57783\n5012 94551\n61509 72309\n9687 96856\n4159 75843\n51803 87174\n61559 92746\n681 89476\n23775 43174\n20070 73857\n67266 99616\n37356 96498\n9996 38872\n11372 42429\n3098 73566\n44795 93110\n35529 78670\n911 86509\n77063 98427\n94652 96218\n62708 68915\n46832 87518\n14965 59501\n13996 60328\n38526 89833\n27035 63235\n48631 53131\n30747 90922\n22241 46505\n60159 75450\n71803 75434\n6388 31409\n25085 68108\n27988 98491\n3351 73048\n58782 85754\n48372 73149\n7973 92698\n22191 23751\n24014 31444\n2441 71780\n67331 83354\n31986 68675\n29551 98399\n84790 89821\n2710 98522\n75307 88548\n8047 60274\n11378 48531\n4817 58654\n57859 58600\n66817 91874\n12055 24456\n41981 71880\n27647 91436\n63897 77231\n12375 98879\n16096 91754\n42565 49598\n35539 37651\n24244 47815\n38818 72487\n4174 36379\n12817 39395\n67480 99769\n42257 84432\n36371 83686\n48267 62152\n10052 43051\n18766 77564\n15296 47901\n9021 61399\n1787 87884\n89822 95777\n67336 70108\n11081 11237\n2960 34384\n16823 64518\n9859 19953\n71715 86797\n30424 98912\n46391 52264\n13195 78464\n10906 29955\n34183 71613\n14370 67942\n2604 11113\n46032 80229\n84563 89991\n66784 80399\n16580 78143\n19374 88227\n30119 38096\n29409 41707\n34900 36532\n3803 90325\n56506 79225\n29824 34225\n15086 30542\n59265 67371\n4836 28513\n74945 99542\n13404 31565\n30176 97109\n33948 92308\n62016 97770\n17844 44085\n47777 92615\n577 69583\n14159 22664\n23762 51483\n9124 84944\n38003 93763\n67649 95737\n3601 77662\n39556 66991\n37932 93362\n54022 55580\n33846 98840\n5040 83362\n33466 49036\n8229 87538\n44676 93221\n34861 83728\n21052 38024\n12605 41945\n46064 90715\n49010 74562\n46367 86602\n25665 27948\n35401 52457\n2993 56371\n12327 38366\n6751 21580\n8449 63071\n31344 43280\n4505 27956\n31063 95632\n38188 75300\n54672 57866\n9796 23864\n31065 37561\n32114 32710\n17688 46729\n17171 85614\n24884 79475\n19234 99800\n42345 50241\n39040 89662\n66442 72423\n16037 52695\n49699 56965\n50090 71915\n45424 99024\n12601 27834\n2150 26851\n30440 35704\n33493 53212\n36654 64634\n34950 93192\n73735 84569\n47011 48733\n51873 79957\n5140 14179\n6484 8942\n43737 62977\n23006 98493\n70518 74189\n55512 57674\n53527 86562\n16300 77546\n21266 51614\n23564 67549\n57934 79642\n5721 11272\n38727 61956\n37851 64267\n8911 86849\n23969 25096\n21352 46905\n28345 44322\n80426 99952\n41056 49907\n41625 74780\n36992 98282\n12234 62484\n54468 74648\n27385 33264\n23503 72068\n15453 96464\n28790 66410\n7069 83990\n10964 49689\n3204 82418\n48503 48707\n33800 90747\n53961 64137\n44579 73815\n75045 98994\n61123 74171\n4196 57839\n4794 66217\n57889 92894\n4804 38448\n78345 91127\n35288 42586\n769 63574\n2178 78626\n13990 53491\n10585 41453\n20384 42162\n7533 41903\n43840 86872\n44513 45947\n21146 29814\n14285 89225\n49914 83406\n22060 95104\n8238 33094\n67624 85788\n64155 75158\n65769 90375\n87034 93608\n62426 70493\n5674 15932\n47102 64581\n294 51603\n2773 45526\n6623 46847\n31415 59168\n90660 93355\n59589 68495\n66539 69125\n21404 79655\n6297 15771\n3620 6366\n8368 53335\n78972 84576\n21686 70667\n48927 84662\n40090 55761\n4500 81876\n78297 83206\n899 60416\n58398 85633\n11557 62777\n58745 65436\n48576 65965\n20171 62200\n69506 93721\n56715 57571\n29530 94022\n54640 98505\n58673 92698\n39751 76631\n19315 73011\n40347 65091\n61259 79613\n32265 59108\n21601 93007\n16592 22939\n57873 81187\n25236 95532\n93307 97906\n59434 97837\n36968 84628\n13462 56157\n37508 62513\n25431 30344\n27166 54121\n29971 56372\n55619 62330\n8205 75460\n100 6474\n21425 59306\n61024 98365\n44174 88666\n24107 39649\n33257 48999\n51084 70775\n18937 83379\n40871 74204\n36711 58587\n6132 62718\n61336 74685\n5939 44338\n2178 26854\n52929 85831\n22440 34964\n29331 33171\n56772 79832\n27225 44145\n12730 95981\n5409 44044\n57162 76111\n44742 69494\n22385 84438\n23425 27541\n24270 72674\n13686 78845\n10535 23224\n13495 60807\n17568 44626\n34884 98410\n87903 92494\n47854 63456\n27095 29174\n9236 81997\n15965 41524\n51243 93301\n27244 88443\n89701 89940\n41470 80080\n20575 65692\n10589 68258\n47740 54464\n17096 73280\n45572 60144\n22031 84769\n48797 83696\n86023 89207\n48494 84683\n37097 67051\n68206 70047\n65120 70593\n12551 76015\n59 56245\n98107 99116\n3736 37542\n4698 33387\n33208 47999\n4586 10228\n48470 98061\n34856 58103\n23327 71208\n85438 95590\n14364 49760\n22985 64445\n19728 44402\n34186 87405\n34164 67942\n85256 96110\n14909 78856\n30456 94042\n38827 74706\n43809 87759\n69397 75228\n79335 91172\n50431 59120\n46452 52347\n20133 90781\n27429 50361\n12365 76186\n925 12087\n38519 66487\n23437 71481\n48628 52658\n28233 61023\n45608 83105\n20441 30891\n78163 87121\n23751 35831\n3573 96799\n8023 18394\n47163 77929\n14925 37202\n80462 91658\n25194 77726\n63317 71939\n64425 84677\n5468 90553\n39295 69267\n14159 36749\n21840 25130\n57554 88141\n4622 72953\n28110 59802\n52896 58258\n17085 79058\n28927 82379\n5394 71031\n20259 70443\n45580 65571\n52450 69949\n9947 34018\n49429 69396\n10690 86624\n36427 79250\n52517 82207\n2922 93538\n42430 81088\n19789 83198\n24044 75153\n31517 69469\n13219 85658\n15775 98453\n23065 27381\n42489 97736\n19884 88800\n1238 81598\n35944 39150\n11499 17035\n66269 78478\n6816 70226\n7193 95199\n17467 99962\n5712 18467\n66029 75284\n6458 45302\n16572 31192\n32401 46425\n23456 70564\n29735 92399\n41161 97341\n52362 52397\n12704 27314\n701 95528\n15802 83016\n8934 12990\n20336 22388\n61637 84657\n40091 98142\n55416 61129\n45138 45894\n23916 71857\n22160 93245\n52959 82574\n56260 56664\n22106 94947\n84347 96124\n14520 89668\n78941 99901\n24475 70507\n47497 98698\n70311 79450\n7105 69986\n4108 60571\n14027 83507\n1864 3891\n51637 92977\n22422 53820\n4036 42829\n79449 81519\n7579 23125\n27934 60418\n15891 84339\n50080 70036\n51836 92532\n65225 66458\n4931 98771\n3058 49776\n73016 74624\n70020 86235\n35804 76352\n278 74564\n40180 63372\n75769 97264\n39655 76174\n62588 82185\n46182 81357\n7687 77105\n17341 59981\n40775 76505\n4402 71906\n93881 98219\n46564 82576\n47727 80510\n11057 99778\n54000 87424\n35645 72853\n29646 37973\n40368 69161\n22285 33060\n86377 90758\n45620 72751\n24194 99887\n39007 65890\n41098 83282\n30312 82788\n41074 43616\n70830 90072\n86363 95605\n20744 45049\n11823 35397\n17294 98829\n22477 91825\n24188 78234\n10459 65974\n21024 95781\n41617 75134\n50362 85977\n1176 70750\n56242 66604\n45495 99684\n56628 92410\n72341 91275\n36410 72689\n11632 74881\n46360 79155\n3129 19210\n33724 77803\n19132 52816\n26038 84493\n49538 91413\n19807 61003\n25868 49804\n2713 60733\n38950 62004\n13083 49927\n6295 18097\n53223 89979\n80770 81576\n25966 84989\n49834 60211\n9987 45625\n1353 84140\n6282 19636\n27374 88444\n24311 25913\n19256 71426\n4490 90671\n6832 25674\n34267 75120\n36570 95359\n24746 65595\n76864 88313\n9893 26398\n25166 45671\n30047 56003\n22854 88347\n8145 27557\n21899 26096\n47995 94320\n18968 28702\n46572 94683\n34663 89506\n9760 33380\n88464 97901\n58574 87363\n61572 89413\n32493 82957\n7974 61853\n75214 84062\n4717 15694\n27326 81002\n13052 55612\n70133 73084\n37102 46240\n20482 58770\n9967 88764\n8958 55134\n21711 43510\n16606 41440\n28532 41342\n3901 97654\n85325 96398\n2322 69483\n24999 83814\n40060 87078\n8253 46611\n29249 93605\n11709 17081\n13420 95352\n22589 71570\n597 51893\n63400 80667\n49215 71902\n43627 65415\n7779 48904\n73925 88774\n24624 74645\n711 50096\n10210 83422\n28316 35080\n8753 64470\n58691 61070\n45546 97991\n73112 96935\n6160 65063\n63792 84955\n17485 78602\n52493 62391\n98471 99761\n18823 53289\n52479 56171\n51021 70746\n65091 87673\n51249 88977\n14635 58023\n64110 85915\n57167 94357\n10835 51384\n33243 49446\n68684 80444\n36436 59332\n47631 85730\n20821 35303\n74021 98619\n75147 91315\n33283 52970\n20205 64453\n62036 89993\n15784 27443\n58933 60697\n47761 87094\n44385 81798\n15731 80914\n28945 40984\n80235 92540\n60821 85572\n11190 75891\n33431 93653\n6355 96378\n27765 69651\n14102 29586\n2156 45644\n10523 33769\n50267 76359\n19878 62651\n48959 57098\n31863 80105\n13523 73765\n21621 68640\n11760 88248\n32894 67490\n16516 70695\n6938 85847\n29149 53636\n11050 47516\n41071 67667\n19203 30625\n66651 91374\n58533 64897\n34186 86914\n14958 60619\n61207 95831\n69189 92923\n37548 42820\n3990 88098\n27468 75034\n10525 18158\n2679 64065\n13090 34390\n53979 75419\n7003 80626\n28320 73580\n17245 84650\n37946 50589\n74411 74444\n92318 94280\n17202 19061\n10952 74021\n59369 94781\n69540 85230\n54616 76953\n19357 52696\n76758 84543\n60706 72180\n27771 75530\n76375 98898\n44560 86777\n29823 60876\n3721 52922\n32524 32704\n12020 57402\n31147 95705\n57760 73417\n77011 82182\n71386 93541\n52768 79460\n65250 71760\n17889 48602\n2273 24803\n54197 75454\n71531 83042\n6399 69850\n50101 63599\n49124 70413\n19260 87701\n17012 53383\n51274 61818\n6009 32417\n53365 60263\n17844 47908\n66013 98686\n38876 69333\n12128 76212\n44516 63066\n9448 18128\n61717 64434\n43872 89975\n65116 90358\n57110 64105\n124 3721\n3568 64456\n14770 19395\n56810 70620\n15218 71816\n36440 57265\n52389 81273\n22077 73262\n40330 89203\n3673 18551\n21672 98946\n13906 87812\n31030 33514\n988 79638\n25475 51092\n13865 87672\n55986 64480\n27401 58655\n2008 43075\n58111 60869\n14869 53032\n4525 92452\n83651 84115\n42962 53937\n13975 90255\n55340 78050\n23298 35034\n27928 80624\n6477 9590\n49093 62749\n2906 25029\n7622 59604\n35264 36799\n19033 91731\n55719 60613\n42447 63277\n4735 34208\n48085 98517\n30090 98414\n13371 29525\n92748 96430\n43598 66965\n77553 79808\n44065 73161\n79664 82224\n2751 67051\n35162 77334\n17138 57687\n14298 77382\n30888 60019\n7509 54252\n21037 59833\n48430 63658\n47642 71426\n28826 36517\n5535 41456\n42516 69305\n55378 56968\n40941 88761\n11892 81496\n834 60923\n76980 78071\n42448 77147\n62662 92995\n54444 62054\n26230 32067\n20689 97861\n26706 89389\n17366 46109\n6460 32043\n18976 63436\n67435 92853\n50411 71491\n57143 57884\n5514 26850\n17948 43215\n3296 72370\n49293 83258\n28190 37006\n59862 62549\n34315 49753\n3124 34434\n59088 84239\n46081 68705\n16677 83497\n29512 71639\n78252 84116\n3814 83982\n5716 75418\n34603 81764\n44513 87724\n16834 78191\n94072 98329\n25914 50112\n15046 55856\n44005 84497\n1163 74231\n60766 65356\n57118 80988\n38888 66627\n25307 75512\n53693 72464\n6860 61735\n62686 93863\n31325 83965\n15571 42028\n57009 86833\n83286 89679\n5628 93015\n13660 62665\n6954 91063\n20772 28487\n5209 21294\n39354 89972\n42768 67413\n26691 33274\n18880 36405\n6760 43312\n1068 32004\n27520 53721\n5321 98300\n28632 82662\n9275 21752\n26530 52403\n38089 40043\n7395 49412\n15992 74412\n27895 96267\n38303 78540\n33345 79282\n16134 73957\n1879 11018\n24729 54619\n95388 97991\n65091 86818\n35659 72907\n59014 93414\n54810 69091\n36069 38201\n35783 48279\n90290 90932\n77484 83964\n94820 99770\n24313 95982\n59640 85200\n30042 33704\n27654 44439\n20325 23308\n74759 95022\n82926 90700\n13334 33155\n53346 80457\n9682 11542\n10055 82655\n79281 80644\n2976 54866\n68847 72609\n16996 49703\n12714 30300\n33569 67716\n1491 51955\n10841 17349\n40604 93106\n30642 92289\n7438 47022\n57189 82780\n7322 41829\n4486 60642\n45041 83043\n32088 86668\n69509 88668\n6478 39143\n37180 58785\n16672 51810\n28274 66357\n31789 53867\n23574 54043\n2833 95680\n47167 72156\n72805 96455\n8055 44228\n27232 85218\n46251 58328\n64425 65688\n21109 61836\n61150 68465\n4436 32741\n25260 51089\n50203 79731\n58369 69896\n48821 92235\n2326 37984\n92579 94407\n24493 68093\n57516 60097\n42353 68343\n36929 37812\n38350 44347\n43112 54074\n33619 36359\n64354 86639\n31179 76436\n43246 97517\n13496 17975\n51277 61478\n62680 98491\n6198 21032\n44296 76972\n10866 28483\n25579 35959\n1896 48527\n2670 12548\n53049 64229\n32584 52603\n55765 66831\n27365 72054\n55294 83129\n19556 41201\n27733 62910\n60200 99357\n58141 91029\n48335 92357\n19558 95249\n1024 77752\n18299 30677\n10848 77600\n11548 63574\n5136 33455\n5382 51379\n2662 42078\n17971 21423\n45110 48735\n5243 63458\n58480 70644\n18949 76508\n21778 52144\n60802 63017\n15582 62147\n59377 82824\n34477 66093\n60024 61155\n55386 84959\n13019 32146\n26121 73540\n40398 93680\n64008 84956\n53097 97378\n16249 40274\n7070 24186\n33034 74046\n10401 12764\n58292 92337\n5780 35128\n53984 80733\n45950 87257\n6967 25292\n37517 62064\n41433 73556\n32779 38500\n19138 43048\n32217 72527\n79908 82830\n2228 63057\n17289 88896\n25654 55597\n49270 56473\n60265 72722\n40283 59051\n24002 82521\n19214 69807\n35087 81066\n27204 35650\n79930 82007\n33114 66745\n52567 62275\n76987 81732\n55536 61856\n71766 93301\n46609 92987\n19952 52344\n49635 59136\n5138 80133\n65428 66591\n10210 42714\n38493 50924\n37743 50499\n53356 64279\n31974 84457\n7005 74201\n39512 51497\n16243 63336\n2246 9770\n21673 68768\n15154 50677\n15099 88115\n7651 44753\n7497 57983\n13733 90365\n48483 59979\n16457 50179\n1956 51237\n39664 93006\n14843 48106\n37248 44504\n39275 90845\n26712 52300\n17791 43984\n48776 95511\n25782 33296\n25681 37020\n15132 58689\n77702 82806\n19696 32869\n21496 33926\n5585 91898\n21987 75634\n65007 91429\n58389 79365\n19795 35779\n6527 57651\n34824 93011\n65006 70494\n45523 81084\n52403 94449\n69600 86501\n25304 84042\n19936 48784\n20064 69936\n18535 78204\n20876 74949\n15354 51550\n105 34217\n17298 50567\n8982 10896\n64121 88672\n33931 41563\n19544 26515\n80882 95586\n21096 80029\n18074 45387\n28560 80286\n23460 75274\n58768 89249\n53885 58701\n20522 56239\n16800 32757\n49228 53168\n24278 35719\n6605 74889\n32990 59899\n42596 79192\n21258 47347\n11618 78955\n6200 56366\n21418 27651\n24216 43706\n36757 92369\n14340 30197\n22175 98871\n55385 66670\n36972 73320\n12903 96118\n46532 46567\n12664 47676\n39821 70250\n36856 56749\n32738 48235\n43457 61653\n51432 96391\n5729 91930\n1656 12377\n5682 62029\n22517 76654\n1811 66785\n8132 21578\n76729 98386\n37825 76807\n54693 71864\n76096 95322\n44217 50202\n15667 28036\n15386 89001\n64978 65463\n21323 91377\n21285 79281\n26454 38433\n37040 46580\n27266 39126\n31306 36656\n51800 84694\n1048 44052\n22234 36412\n62746 87990\n2852 90195\n35522 76153\n23074 58371\n15859 91237\n8020 85879\n1172 70419\n37143 99811\n13214 33586\n49841 82583\n61954 87669\n6878 38208\n6656 49903\n36182 93286\n39919 69405\n4568 28730\n5651 80674\n37430 87558\n57047 61549\n84907 85321\n9015 19795\n17819 62948\n6217 35100\n44715 63158\n9179 38715\n84879 91766\n50339 63253\n1495 17940\n43798 52428\n23564 46028\n47193 66875\n70829 78019\n10818 88341\n40455 45486\n24227 75167\n11495 47070\n7396 94003\n41413 81325\n73982 98551\n27131 52979\n39667 46928\n24310 84168\n757 4941\n77311 94391\n44010 76000\n48583 76293\n1456 63314\n41716 60970\n19170 65104\n30416 63735\n22431 71355\n8445 61680\n24419 69460\n25695 29950\n18483 93294\n15991 59065\n63022 92694\n32842 81138\n27711 62941\n30554 61389\n9607 69958\n50605 52498\n38813 84071\n76114 88952\n33015 45601\n3043 52810\n222 28543\n43045 49127\n11984 58663\n17119 39783\n25666 92564\n19992 37155\n30900 95698\n26710 77792\n15893 68459\n2545 27725\n41471 87037\n8900 39559\n1742 3093\n30011 57520\n10995 97337\n80096 82594\n46916 51883\n47902 99151\n5472 42190\n34573 58574\n2371 5533\n27773 49634\n7120 29396\n63329 88197\n13186 36822\n18030 58498\n74070 84464\n43479 53435\n24781 90556\n14485 42187\n2687 78775\n33144 61222\n13843 26579\n9970 96489\n2038 52824\n15246 29411\n52908 68266\n4406 98205\n75695 99181\n67906 91655\n31470 45185\n27272 79538\n35677 67969\n85456 91280\n12534 13978\n28571 88122\n11045 31384\n44896 93331\n46602 46862\n35051 38123\n44083 78654\n2078 30617\n58390 96564\n37225 53402\n32987 41854\n54998 70191\n21524 55533\n22290 62480\n2714 10089\n34087 70998\n28347 94173\n8046 37697\n6130 73529\n869 49191\n34254 36817\n20566 70586\n50300 52970\n15298 92903\n4044 47144\n17073 58379\n21340 35572\n64454 72547\n13893 26869\n44858 96564\n3471 78164\n38049 55782\n68826 93372\n77234 84722\n17191 50284\n11088 28698\n12679 69021\n65088 82379\n71610 75593\n16806 88204\n62963 89752\n1649 71427\n54827 91582\n38306 76983\n39425 69079\n20364 48663\n77176 94572\n15733 30980\n44848 57621\n27461 87986\n72605 79619\n27471 45203\n43403 63512\n54465 78966\n9886 98258\n18817 52053\n53047 80787\n10814 73405\n45079 73712\n4068 28515\n20101 73859\n15261 15486\n37529 88731\n29936 45509\n14282 58309\n62914 70828\n42048 80716\n8931 50309\n16974 99042\n30596 76590\n42012 90049\n20958 39730\n57655 88869\n52112 64416\n38694 83356\n49034 99487\n38399 46395\n7851 38987\n71414 73775\n31146 46934\n4694 78044\n48525 64173\n49740 91831\n16097 82763\n28008 54185\n25087 38415\n35285 96486\n75612 92481\n37415 92389\n16867 27199\n40455 47456\n16847 28940\n36326 82608\n31579 43057\n339 72104\n65756 79949\n28793 77534\n36480 85513\n71106 94386\n39569 87706\n50617 55169\n92752 98276\n6218 59683\n50095 71178\n21309 67949\n8746 90258\n73884 88515\n35814 43910\n43423 99438\n22574 71651\n57738 63353\n9077 34071\n20376 58983\n561 51816\n13017 80325\n13138 18659\n49992 89709\n41602 44692\n3102 76170\n18140 34432\n33763 90639\n37951 84215\n46045 93452\n30540 56665\n12873 40378\n5761 59668\n32188 40539\n49456 68112\n33681 77591\n12150 61655\n61952 86743\n16263 74978\n26450 60270\n15605 61011\n27490 45133\n58265 66965\n57798 68583\n28452 66775\n72450 76358\n16315 22290\n89774 99919\n43607 73811\n3810 48256\n55899 68251\n61267 82756\n3016 89955\n58428 65274\n738 71959\n19516 40312\n54238 82364\n9968 22604\n9403 97280\n49940 88912\n73644 81534\n49767 68910\n84520 85748\n54492 69217\n36800 90323\n60127 91597\n9911 32056\n38088 74635\n43019 64584\n51212 76050\n58310 61301\n20535 93281\n27115 55606\n2873 75478\n24317 42766\n3975 91755\n3167 11825\n7858 44536\n8240 81606\n17065 71958\n78 14910\n34467 76294\n54074 83063\n2233 47903\n10884 95658\n17984 76902\n33780 81200\n22881 28533\n3033 99277\n46878 78298\n5291 25220\n986 13734\n55129 96273\n21243 31831\n52709 77384\n32810 66558\n31595 67965\n15302 40603\n65336 95745\n27501 29737\n41878 90280\n25080 59205\n4113 59623\n11450 93902\n3190 90163\n52736 61146\n13651 44905\n33627 69824\n80313 81126\n50026 78520\n9308 93836\n52681 84282\n88520 89823\n54125 84101\n11572 81577\n33794 88001\n2074 80182\n29105 46781\n10430 27055\n65831 74940\n13698 96292\n16806 29393\n8780 35579\n62902 92896\n38814 43756\n15856 34426\n18792 88083\n26224 28054\n1455 54429\n33580 81823\n40145 70508\n83092 93324\n17158 32373\n5901 47727\n17498 47654\n15875 33318\n18861 29950\n6632 90442\n29400 43339\n32632 53109\n422 19579\n21412 99370\n44908 71296\n11715 63089\n44893 97828\n24932 89292\n28087 86479\n3507 28855\n42055 47517\n6741 71704\n87090 93474\n37583 93092\n70051 81715\n41203 46362\n53743 89967\n41976 71287\n37568 44795\n36717 53651\n33743 36840\n22051 37670\n7316 88200\n31015 73787\n47117 60900\n23401 40812\n44330 44791\n40795 49307\n48337 54122\n22529 86423\n31790 35290\n37871 99920\n364 35587\n17983 71824\n61868 80650\n12439 27738\n33400 75434\n31838 64559\n3849 69247\n22570 89173\n53360 98072\n19064 35761\n24396 70113\n14595 59365\n7012 90812\n96669 98998\n9586 59419\n8808 86896\n63576 66415\n7800 92720\n62061 76618\n7470 10771\n26730 57982\n23325 34052\n6388 25884\n25041 56277\n24148 94652\n25985 69037\n72466 96883\n12337 90778\n72355 76049\n71766 92151\n2788 93923\n33095 80999\n67581 81323\n78182 95134\n1322 17420\n21156 54425\n19988 56942\n45046 54212\n8300 96439\n26653 49039\n14630 21028\n46727 88905\n59071 74220\n141 56680\n16036 88219\n20697 31743\n22305 86512\n56153 86897\n55474 97980\n27402 82051\n54726 67225\n19616 70177\n40151 81388\n7176 74183\n12214 19889\n4346 59518\n33193 37728\n78913 82677\n11366 89512\n6217 59465\n35175 43983\n84171 96229\n23878 24977\n16412 39960\n55228 87502\n18855 99236\n20022 31572\n9877 76778\n36116 56199\n2945 64520\n78388 88307\n7485 42400\n25628 99080\n10451 57573\n25909 55034\n36300 96107\n10882 37116\n46144 48715\n62708 99230\n33642 65507\n14296 55592\n43253 80134\n44797 78938\n25947 99333\n57361 95211\n50991 84255\n31234 50888\n14148 25605\n35727 52784\n18137 45205\n90097 91156\n1449 80572\n5861 77126\n14622 97706\n11286 89298\n61073 75472\n9235 66927\n20045 90600\n15657 64833\n61428 83415\n27687 71608\n47920 92950\n50511 71291\n41664 69799\n7324 15109\n37093 70018\n23939 85615\n73275 84269\n65145 76290\n12869 48598\n1210 32942\n38697 80806\n44151 64919\n20833 28674\n14241 96924\n1922 29747\n25179 36399\n32361 53686\n7900 76446\n5511 20770\n30733 36315\n35210 74806\n17551 77123\n32969 86184\n38832 71474\n26122 90481\n14781 91408\n11674 12731\n32204 81406\n80438 95367\n7403 32623\n29625 97703\n9099 9870\n17476 88330\n8754 43748\n34157 94479\n92598 96034\n5348 67438\n15439 55939\n52810 95726\n67741 75951\n62531 85542\n13420 50327\n494 37004\n52310 69474\n33189 59481\n54997 96023\n26534 33385\n23926 57260\n70141 71438\n78887 93830\n44854 99499\n39267 54045\n13130 56669\n33530 80346\n1460 58738\n76511 92913\n48473 89254\n16226 27440\n62269 79108\n26847 86340\n23015 80605\n16658 93059\n53573 86061\n92310 96688\n22187 69149\n8663 63132\n78669 79861\n40414 63743\n10242 96937\n20202 36634\n27494 76244\n77061 85936\n6939 19247\n19426 69319\n19913 71928\n3879 5882\n32672 62658\n4629 72021\n12170 52171\n49611 64038\n32825 58978\n7546 61838\n21971 95007\n67489 76135\n16034 82172\n60675 91163\n74404 95350\n9267 40588\n289 32054\n6575 66016\n11410 98427\n29578 66866\n1651 60942\n7823 98981\n42361 88812\n9439 11501\n7468 80125\n21908 27060\n60728 69277\n17833 36763\n44168 75372\n4235 74905\n27989 47525\n51268 67916\n72796 74351\n24350 26232\n14919 64938\n24260 56483\n11495 24680\n33531 74494\n32888 39418\n33509 34774\n45565 96153\n32797 67547\n43029 56904\n53227 69443\n48723 92178\n75035 83720\n25194 67157\n36746 98735\n19887 90002\n34136 45474\n45257 71550\n28897 32134\n39301 89515\n20926 74270\n42181 54327\n71297 82423\n30808 46430\n33769 83533\n31968 72679\n601 96438\n61408 69998\n22784 41622\n62019 82219\n29479 34752\n33318 48885\n45480 97823\n48394 74907\n42292 98985\n56291 70809\n35750 44596\n1379 90150\n5655 27388\n17363 25749\n52212 94721\n4192 43587\n11214 82828\n35571 66285\n3034 69152\n20694 69825\n45928 68411\n44870 55789\n29346 77751\n50039 69758\n20629 74194\n48160 73307\n4021 86103\n39017 70575\n26942 30948\n4729 97595\n5022 74431\n24302 38534\n85301 87404\n30714 83256\n54216 55571\n23740 42694\n9838 71590\n3330 62312\n11717 38245\n36340 93671\n46226 58632\n5389 6532\n65148 93270\n7861 85865\n57557 87960\n32400 62366\n45386 78794\n17134 35079\n54283 92709\n71817 99160\n9223 93373\n14404 74633\n37276 75626\n41703 88832\n79324 81523\n59544 69783\n44905 93249\n66396 88687\n73600 86221\n16461 27104\n9747 63347\n19056 57467\n12854 55708\n15928 55716\n17784 66410\n22075 35426\n16334 27426\n13257 30667\n54575 84511\n55582 92711\n28717 43450\n43386 70709\n77720 82910\n38661 47128\n53750 79724\n4016 75040\n39293 95757\n18534 22130\n70995 98198\n72526 80770\n38198 94282\n62678 83376\n5573 65233\n14112 60691\n27836 66760\n19381 41193\n37214 39634\n4423 84129\n516 85292\n40816 95231\n57441 90986\n19086 19337\n24447 91829\n64166 98872\n5327 52538\n5517 7318\n5966 30635\n54822 79140\n34217 53539\n19371 60014\n2598 17180\n42409 48842\n3504 64451\n12044 49411\n52206 56133\n42668 43488\n48052 55706\n28594 77330\n64688 92697\n75655 79096\n9133 82345\n13275 60596\n14501 83816\n59135 88571\n24652 42781\n77561 87657\n82739 99532\n23801 99367\n78516 87689\n66121 99972\n327 10411\n55760 59872\n73609 92614\n12772 63382\n83991 90454\n35964 43175\n43124 79813\n6754 74753\n11083 26895\n21421 98186\n7606 98183\n50588 90703\n32044 39147\n23533 42774\n24553 99734\n56207 83650\n23336 98818\n4090 70751\n20553 79881\n12433 70733\n4212 74618\n13057 39865\n18259 98233\n13899 93274\n18811 62899\n29120 62230\n14167 48935\n62823 93517\n27009 67969\n40862 96978\n4582 77348\n65824 76499\n88620 97251\n1755 16214\n26860 67952\n22969 76819\n58072 68846\n47236 64405\n27160 93898\n60773 92675\n956 92317\n16344 23641\n85020 90342\n91427 97674\n33332 34177\n53441 96136\n87624 91799\n7542 95408\n56791 73995\n7043 85688\n85984 86529\n12175 20415\n33423 41183\n62305 92194\n17676 41785\n6430 54897\n35210 70835\n47851 61177\n17392 87609\n82478 99897\n31371 50930\n7734 64419\n80244 83762\n15973 22323\n2058 48471\n11257 77007\n64871 93743\n5091 28906\n74426 75015\n38478 74947\n18139 30599\n46875 60744\n76376 97908\n21745 75142\n20700 63246\n45657 79979\n79097 81888\n10785 28784\n53072 72488\n689 85452\n40440 99361\n47483 90085\n18286 55859\n25846 58462\n13972 54135\n32171 48916\n78855 89724\n14361 76956\n78281 92018\n13294 39569\n16569 47921\n7948 30547\n67211 77249\n27131 80719\n75351 94790\n67782 81693\n54063 74241\n41411 77207\n2983 76823\n1367 97350\n43856 82458\n950 84282\n9382 62335\n58525 71035\n3332 89425\n23127 74058\n36450 55557\n62321 67372\n124 41632\n39870 73587\n47140 48269\n7913 99380\n44722 52989\n45008 73235\n25191 43009\n34107 93422\n5971 37713\n56947 80415\n46022 97645\n18665 83950\n52772 59661\n64860 72976\n18179 60081\n14837 66300\n30434 62687\n2219 66558\n56001 86570\n2646 95012\n31811 47922\n17851 56128\n41807 63955\n57531 82780\n60558 96393\n63246 73725\n25427 99684\n10379 16470\n10353 11547\n39460 54124\n59453 78702\n48860 52674\n50328 55941\n43077 56269\n4474 43813\n32708 82892\n67279 99891\n33088 47255\n9757 30778\n32888 69920\n20031 58761\n63044 82671\n29268 43716\n40255 55146\n37250 68757\n35077 64774\n77767 81536\n37523 54694\n47196 58365\n65485 96582\n54684 98159\n10314 88114\n35051 84334\n6099 8350\n28555 59955\n64786 94399\n58568 91298\n9763 27413\n35351 69761\n11116 39661\n14562 87590\n8733 24621\n16803 58271\n53099 83309\n48554 76979\n10853 49896\n11288 78289\n51456 90273\n11496 63984\n34200 64748\n38179 93687\n72305 87422\n22583 70488\n63718 97250\n30026 47539\n7189 99591\n38732 53625\n47374 55423\n5820 17213\n86341 87715\n53185 72802\n39689 61388\n31072 46966\n43497 65631\n33983 39314\n6419 12145\n24933 88092\n49415 76947\n44839 46374\n40949 75838\n12771 55131\n35189 77373\n2296 55339\n21822 69850\n20500 94392\n26065 39589\n52388 70143\n43479 87713\n11724 25936\n25342 70687\n25604 81335\n18904 49793\n9927 19744\n5234 51143\n23509 44770\n78098 88648\n37645 38322\n21492 37323\n40030 70756\n77418 97708\n7430 71574\n32722 89897\n19011 88124\n66799 72868\n46111 83928\n44584 68957\n32352 33639\n65968 90408\n8254 62325\n64386 86566\n63562 75733\n11418 28522\n28419 63422\n35021 46414\n15123 52682\n18835 71609\n38425 89274\n59054 85746\n41258 91300\n39810 47440\n78723 96716\n51928 92976\n75566 94441\n12534 77818\n58830 86984\n36419 75431\n8874 95779\n65194 66062\n17841 96670\n17917 65930\n31568 55640\n68237 94873\n35016 69954\n42608 66051\n49911 80960\n8060 47631\n79260 80488\n34801 77753\n21041 39276\n697 14162\n25796 72102\n62231 68259\n27642 44884\n5100 57589\n70762 94031\n51501 67052\n48229 89519\n35122 87167\n13923 99604\n56493 70808\n81289 99897\n64483 90222\n38852 91542\n85760 94252\n5764 57072\n45325 71694\n40317 56213\n916 84884\n16005 26790\n11961 86700\n27402 30640\n21860 24844\n55421 76689\n14684 63455\n51484 55664\n38653 60265\n53419 98949\n56372 63543\n19553 87402\n12274 49682\n7127 32744\n21043 45179\n24085 88728\n20101 41266\n41735 75836\n47573 93665\n57472 61825\n30770 50554\n39369 41923\n79832 84836\n34879 42151\n31513 61136\n17273 19290\n80617 87138\n24427 27246\n8867 73883\n9193 76347\n1513 92159\n32580 84297\n12669 44008\n16249 57615\n40610 74379\n46241 48497\n16235 71595\n35465 73656\n28669 67200\n37120 39426\n74795 99203\n25676 75430\n8755 37328\n39789 70005\n33067 81833\n4644 29290\n14037 28856\n38497 81879\n2066 20564\n54427 69587\n84114 97467\n32410 35694\n34774 35881\n17117 32096\n18534 54977\n26451 90047\n2205 57268\n22331 49233\n32091 91287\n45490 96215\n21669 24659\n16142 81136\n4719 7418\n25108 36841\n23270 60966\n93819 99780\n21864 27959\n15312 43431\n40410 50902\n2218 10460\n6977 21406\n20418 85172\n79440 82160\n471 52621\n65725 94601\n74683 78330\n19492 24955\n51318 54194\n23489 36459\n4460 84664\n46207 86219\n6202 77862\n62128 85552\n48126 58096\n33362 89431\n2433 2536\n12310 88706\n20723 90117\n22951 76632\n31821 67338\n18750 84443\n33645 87942\n67081 67878\n45117 87470\n80017 89338\n44672 86598\n15803 69702\n39234 77749\n14749 53412\n18972 98606\n25264 67290\n23732 49888\n43264 97614\n26895 37272\n46874 49101\n33417 92292\n13463 61191\n1533 27093\n9226 74008\n35390 45090\n6802 63962\n2951 59930\n45006 64273\n56855 88750\n16232 28405\n8200 14755\n43124 50195\n63660 98486\n3907 86380\n19067 32231\n84786 95754\n25677 32709\n22835 53508\n42643 59717\n66920 95307\n36819 52975\n26057 91883\n6351 86026\n57604 73938\n38512 84301\n44507 56680\n42115 99828\n893 94725\n19940 86938\n7234 68606\n43595 51479\n3031 35220\n15473 46704\n26005 55373\n23682 89354\n29889 57978\n73456 84837\n95171 96397\n16548 25339\n561 53826\n63777 91769\n42180 63288\n25215 79745\n24074 85456\n3301 27567\n4125 33778\n54 83301\n27573 98400\n19789 71179\n2775 79242\n10714 81843\n24490 75122\n49079 84874\n13189 19415\n37424 55004\n58275 90980\n2242 29079\n11989 77288\n35661 86318\n40821 85133\n47129 94176\n27255 42293\n4107 21757\n47205 77811\n6675 36632\n40260 84564\n12803 51635\n74119 89316\n54838 86983\n72349 94580\n61448 65356\n71988 99371\n43989 55873\n6083 44259\n31468 99745\n21509 27586\n73626 86382\n61215 70555\n19749 98949\n41022 86703\n33287 68650\n56396 74162\n32335 64507\n65499 82306\n21817 30962\n44140 94007\n13037 45970\n65212 87571\n31317 97127\n60618 92485\n33774 92389\n79675 94964\n6963 82500\n27247 47615\n48671 86802\n34067 38794\n46251 68809\n5487 27866\n25589 47985\n19701 58638\n21946 38700\n29202 77584\n33468 92780\n9688 72279\n34093 37503\n15469 67406\n12880 84865\n63605 81487\n40779 66294\n27293 65446\n77354 86490\n59065 71226\n31849 47965\n57722 87517\n41752 44201\n75042 92110\n79422 86764\n56627 88120\n18721 30218\n4101 62268\n28702 40423\n18510 65170\n59534 91785\n22957 70651\n23068 91827\n69020 87328\n38951 70374\n54863 81968\n28984 95221\n6903 34987\n41404 43100\n36895 38376\n76007 80377\n37002 37776\n883 20979\n76911 98297\n4875 69289\n85359 86035\n60157 77341\n13667 68335\n9986 19268\n43430 47158\n3060 50179\n12626 32346\n73993 93618\n17557 69868\n8403 22773\n38559 85406\n24882 42264\n4591 67150\n63687 86023\n3819 9467\n80119 95505\n17297 36773\n12674 47497\n28572 45337\n50061 88677\n40598 84403\n78155 87190\n69068 99461\n43456 90691\n18174 32125\n44974 92273\n5717 53377\n63538 94297\n14496 48447\n56306 61373\n72840 97521\n61751 84479\n49323 73948\n3192 67170\n7898 98679\n34391 89639\n8110 29175\n35531 83924\n25987 98985\n34312 82685\n22205 70906\n76798 87635\n53002 89123\n39270 99921\n23753 43780\n30128 82159\n46130 75574\n20598 81942\n13817 47005\n22274 78857\n12931 29568\n9559 26931\n14661 93777\n26000 39397\n50864 72325\n50218 86287\n19844 53119\n77942 85735\n2862 17974\n6507 27656\n13354 52644\n16291 43174\n35925 87351\n15498 37276\n32105 94429\n19949 30471\n38291 79025\n24432 37386\n72022 95330\n50937 58425\n4176 25686\n48427 80798\n8716 16823\n41891 55721\n68187 92205\n52890 73805\n24524 31283\n43511 84783\n15664 48538\n44121 87575\n30139 65843\n64403 80144\n47097 73818\n37459 40693\n5739 76184\n19871 99396\n15875 61861\n16560 57743\n92231 92571\n8924 52313\n46589 74223\n20269 38508\n54973 94202\n77434 81821\n74010 97302\n1596 88045\n41557 92839\n39393 41885\n61328 76726\n477 80589\n37189 89165\n68344 88187\n47254 97185\n5763 13916\n13539 95915\n10075 37627\n44104 68938\n34772 43447\n7923 52740\n28450 58056\n27931 34062\n24773 33128\n16078 73743\n51160 64688\n40008 73860\n83666 85669\n65886 75573\n33563 39806\n38223 76546\n13750 88782\n14996 52619\n75677 91195\n33731 38378\n45241 55449\n10166 61919\n37303 74299\n44799 83443\n63545 91110\n57169 93015\n12097 29682\n744 11957\n24004 84544\n26701 57219\n55957 77745\n20452 52651\n38567 59967\n10797 95755\n52350 60732\n7135 91041\n11159 54242\n23902 53890\n67527 87438\n1820 68783\n29917 70146\n18332 50744\n12436 85476\n22738 97242\n32119 99228\n73178 99932\n35681 41968\n55677 85359\n7633 48212\n20701 94707\n9600 50400\n57792 82362\n22128 46255\n64316 87079\n41769 59312\n76031 89216\n34659 53796\n54311 97277\n49952 69274\n32833 77415\n5845 70234\n8427 15343\n30110 31288\n22164 79555\n3736 93278\n39210 39679\n16376 77819\n66906 77097\n61932 99511\n14533 96008\n1876 16165\n55932 58562\n63557 87746\n47339 79097\n89558 92778\n10122 55288\n39610 95033\n23462 58566\n3698 8954\n42633 78270\n34997 87532\n1903 39755\n51546 71271\n3080 66049\n15104 92911\n55745 61695\n52076 82867\n15061 37674\n17385 32823\n38150 66173\n2401 10501\n19717 63175\n42119 59541\n69233 90424\n71147 72268\n17941 90902\n11085 15768\n16831 17379\n15498 85428\n7945 74568\n58562 64076\n13125 56205\n69910 79285\n20615 77341\n40909 77948\n34678 65359\n12163 63413\n22489 66118\n33755 81436\n26416 34357\n40891 91797\n87362 93828\n50705 98982\n48050 81439\n57181 83155\n46582 95217\n29756 48131\n76660 91467\n8895 93928\n36286 73246\n10876 82535\n26282 40352\n16843 54629\n4500 86606\n30450 41504\n1040 25809\n83920 87699\n10307 89588\n12981 17187\n27369 60156\n46914 89693\n75883 98507\n37925 67451\n3763 24510\n44668 62458\n15598 96106\n46379 96782\n59528 88082\n4904 64986\n2711 4015\n9186 61757\n78102 94537\n29379 67835\n17943 85178\n26602 81084\n23958 79129\n31041 93817\n39532 50229\n2317 44262\n20220 42925\n4747 33016\n64230 69586\n50874 69691\n33708 97783\n37478 85762\n34829 87300\n52927 92071\n79824 94949\n35534 78834\n43980 57257\n3396 79443\n52311 97435\n59372 80107\n15889 29146\n57857 83652\n25154 34385\n6730 36182\n42765 83796\n14654 49219\n39243 73260\n38931 73297\n37036 98148\n61990 95519\n25183 37483\n23804 71036\n11938 60659\n4494 78643\n1585 92851\n49338 72412\n24293 58541\n5409 85853\n81742 82883\n16755 43460\n21776 73137\n13283 51956\n50490 74979\n51250 80003\n257 63927\n24878 94640\n15236 74399\n41174 91065\n23571 74696\n29954 32701\n49407 83402\n44579 56119\n9179 32835\n36604 66253\n1 18780\n74392 91822\n35168 82096\n26910 54103\n13685 71485\n40555 91975\n72693 92002\n25132 92351\n8057 16597\n54289 78991\n11697 44534\n24696 86457\n72339 80845\n55633 67137\n4139 33459\n6098 75532\n12499 54273\n60887 91582\n14125 33431\n10776 60474\n33519 88884\n26363 35752\n65071 94345\n42271 67910\n18769 60858\n251 34619\n43415 64684\n30394 30682\n25738 52382\n62901 86031\n69895 74886\n13728 50413\n13604 45449\n12364 56197\n26452 47132\n2062 99958\n4616 45645\n1796 53233\n3537 35649\n9930 39353\n79594 83899\n43944 99749\n13525 30755\n59881 61952\n5096 61083\n43771 48038\n41960 65500\n32452 32661\n6976 87000\n55006 96575\n50073 91362\n38551 73206\n8624 65487\n71117 78858\n17835 31796\n86614 93004\n19796 55521\n51295 79026\n57417 75720\n7503 56125\n25187 83095\n3366 84298\n33024 55234\n60045 84549\n92685 94530\n54248 59213\n2341 71508\n68841 77467\n67786 96365\n51469 68960\n20418 98619\n30051 53530\n1963 58807\n25803 65499\n71408 93544\n4711 77352\n64938 96340\n11985 33533\n33507 59111\n47481 75720\n37962 79721\n39887 74186\n83312 92738\n10588 75112\n69954 95344\n38260 64784\n9530 42982\n72221 90327\n45145 75996\n76669 98544\n44968 75027\n4113 84850\n28759 29200\n27021 72131\n39401 45521\n61787 74885\n1486 70988\n53033 79859\n95792 98865\n25410 39225\n40381 61321\n12627 86413\n75454 81337\n28145 61198\n24502 41295\n85120 97643\n10757 38047\n54644 58803\n22186 30300\n18803 28950\n30683 97488\n34801 77086\n18492 42016\n59234 83570\n13855 29190\n11263 74537\n35451 51315\n9472 12108\n52853 61897\n11199 24328\n30865 77235\n52171 57544\n19426 47915\n43676 83092\n22440 65898\n7269 28402\n9556 38543\n25582 38310\n19172 56256\n28778 52112\n14900 53874\n15239 58624\n44492 55915\n51527 52517\n31040 41026\n19812 88144\n36612 66746\n19696 78860\n25630 58426\n39301 51944\n65008 94554\n7628 13732\n11771 17466\n64182 78704\n525 38289\n13247 48368\n69400 81849\n586 39661\n35431 97871\n15654 16719\n20784 47031\n2178 15655\n22795 57409\n65001 86194\n1561 37492\n32579 80517\n23573 84224\n16957 37749\n48949 58995\n60279 75995\n41165 60271\n57986 67685\n42934 64593\n92137 95352\n64910 93466\n17162 92133\n49696 71672\n3420 62952\n35765 81562\n16273 17179\n46801 82518\n50055 70471\n16010 40038\n13458 54608\n46574 89010\n35045 91898\n45751 63563\n11389 43026\n9973 54776\n30278 44465\n70198 75453\n21270 75291\n11770 95277\n18649 26155\n40045 62080\n30244 59889\n3198 17620\n26750 93829\n95341 98067\n30440 90136\n2412 7774\n46549 61473\n27856 61694\n57567 57643\n41292 70361\n48746 84782\n71162 93149\n20825 46408\n58677 70350\n32671 37981\n29030 81308\n53594 99595\n21601 81103\n50498 89797\n37428 81475\n49476 59494\n80492 89627\n47526 48370\n18118 60735\n92736 97199\n13769 38738\n1488 19983\n46253 81902\n79109 94379\n68594 80816\n39920 60496\n16590 37408\n16186 49819\n31053 82654\n61485 84368\n17886 60404\n278 78760\n29024 39931\n5278 35381\n35024 93042\n42547 55571\n64123 80545\n16607 93517\n63229 66654\n95689 97265\n3634 97567\n2858 6043\n12010 92614\n25429 59633\n17411 51150\n56393 64175\n50909 63037\n27633 61661\n48218 92771\n22160 87265\n10464 11618\n34064 65064\n64278 81573\n6270 36857\n30285 63259\n12066 77730\n54777 62331\n29834 57150\n35633 68228\n40994 89670\n24628 40963\n42899 68796\n44495 74730\n40926 53700\n3815 66703\n11220 13881\n23312 86555\n4889 45723\n22380 59547\n57637 99425\n9518 60450\n12183 65251\n26017 40149\n59720 66090\n29533 81763\n46024 49945\n24953 56612\n14499 37863\n59610 80458\n18332 75687\n6831 81379\n37561 49274\n22625 62558\n47186 47252\n15327 22649\n48498 56791\n69505 99011\n28492 84156\n50853 62724\n8254 84386\n44108 45525\n32940 35886\n11549 21722\n53056 99254\n947 38145\n11 23639\n2019 4676\n72938 99235\n81036 81859\n32158 74051\n67780 78524\n6618 59051\n82563 93420\n45620 49898\n29861 87836\n17168 69304\n28682 69548\n50444 87818\n33943 60637\n67849 96263\n37341 52738\n69883 91167\n1517 29445\n71058 83216\n6432 9842\n91340 96966\n27142 29936\n22470 32939\n8135 50805\n19204 52678\n14213 30990\n36209 90986\n43495 65155\n59383 93726\n63594 81323\n395 1844\n3600 65968\n8926 49753\n28998 53733\n53235 62664\n16017 84437\n33289 79777\n81380 86512\n77741 93290\n26548 78773\n26601 87225\n54215 85960\n7510 30764\n44434 54922\n32805 41799\n33564 69281\n7776 9910\n13890 56607\n28258 34688\n11968 89988\n68183 70447\n17088 81617\n16403 45504\n22577 96560\n49175 78997\n21814 66352\n21154 64227\n68578 83660\n66425 79949\n62267 80250\n75991 98150\n27117 80405\n29092 84309\n33454 41646\n45492 67765\n35499 35816\n59443 95602\n31009 39982\n39818 48438\n58031 70961\n5261 15946\n14016 65215\n12711 99129\n50981 83388\n14248 58201\n54649 97460\n64817 97724\n87634 91721\n18229 81193\n12650 30529\n25174 73759\n62017 65544\n11868 26428\n12843 78870\n64704 75224\n5245 38910\n76220 90528\n9795 11365\n16389 61378\n55940 56326\n21747 90183\n49192 72305\n68398 91462\n15692 50231\n17324 81144\n32762 95988\n60464 69509\n25268 82625\n20870 36536\n65837 71246\n23021 37984\n7358 29380\n4273 29939\n34377 83522\n500 99259\n14792 55244\n8168 73328\n6826 19264\n13947 49096\n11231 37109\n42337 93317\n45654 70836\n22656 94893\n2562 17800\n4849 87474\n7992 78991\n12201 54491\n10928 77969\n30388 56419\n9910 41253\n23675 72475\n16998 45371\n73428 99985\n8259 13655\n34011 95528\n65871 91908\n24539 82095\n17974 70378\n29465 58577\n18592 78404\n29806 32442\n63217 65521\n45463 65129\n5909 7109\n20782 32131\n23430 41291\n4299 65870\n36192 90434\n7083 72518\n17257 36141\n19638 36972\n20147 25332\n52811 87630\n8319 76907\n19921 23641\n1828 57948\n72624 93243\n11283 13084\n1351 46619\n42235 43425\n55933 73638\n46169 92788\n21770 64560\n93309 96069\n4603 36787\n17549 69908\n42083 93378\n11179 37721\n3597 9218\n1178 1516\n12827 70751\n26517 60448\n157 10172\n27657 71457\n5766 32176\n53399 61052\n78634 86987\n10608 34150\n36197 82501\n50619 92768\n84630 95350\n17306 33393\n4295 93778\n16970 54412\n13491 48790\n34376 82080\n62339 71744\n6121 45342\n23219 81437\n8777 53233\n56005 95152\n20995 45016\n6619 17863\n47521 88174\n68961 91635\n63949 78531\n68934 71047\n11097 68063\n50417 62949\n52780 69021\n12733 94115\n6578 69145\n27382 63229\n5033 6323\n37611 61291\n11828 34100\n8534 81522\n49232 52044\n89302 95569\n63561 77161\n6552 22414\n20041 58513\n60870 92203\n62847 84326\n49101 92499\n23702 94453\n76168 94369\n80789 87657\n48754 85313\n21777 76909\n76204 81979\n10490 39340\n29878 91108\n53196 59383\n4845 26737\n29688 52691\n33200 63828\n16517 42031\n46245 79505\n51902 60503\n41735 59680\n10731 99244\n15465 31831\n33597 60547\n35238 90491\n1656 32108\n50198 52598\n56500 57872\n4531 85961\n16203 91857\n27812 96549\n8640 28444\n7546 46094\n32420 39000\n68264 86817\n19819 90009\n443 78820\n17824 28357\n47487 59385\n15389 82884\n2078 89532\n73354 93929\n61643 84089\n22464 65128\n8650 83766\n29936 63322\n17688 29102\n17316 37462\n8881 48674\n36288 44451\n9785 38181\n3681 74486\n29434 95158\n18282 95920\n35515 66825\n85331 98340\n7876 49643\n2769 81592\n5062 43560\n56212 86917\n6871 88192\n77236 84791\n24884 54658\n20403 86693\n38685 97833\n49701 50395\n49811 72727\n37449 64300\n28690 62367\n20934 96247\n3816 38611\n11223 16403\n66418 93932\n46966 76625\n56591 77201\n7950 47891\n10303 67346\n17024 35819\n2694 24400\n68233 98055\n5825 85797\n59182 85022\n23281 88502\n33746 87156\n28401 45870\n51549 60785\n46165 64580\n7391 25031\n68663 96078\n7944 97545\n12851 31138\n36685 97052\n2747 72474\n58055 98911\n34447 48966\n17179 84950\n7534 57268\n23089 45485\n49602 97814\n19401 93810\n72047 99171\n15205 42601\n32627 41307\n48263 91625\n62401 99298\n18647 86418\n39573 69751\n51400 94080\n62612 84876\n42445 82367\n16492 58444\n9902 67730\n47751 58484\n64337 78575\n29709 69432\n36520 37826\n52458 79255\n19442 26093\n20790 63777\n26594 48957\n67426 73291\n14450 82611\n36929 47650\n11737 47064\n3627 59916\n62350 76268\n5572 43381\n15774 92403\n26120 61623\n32859 97696\n59230 80678\n78878 81069\n2564 7670\n16524 49778\n21930 30411\n43626 79564\n1812 45675\n15277 76502\n16536 72286\n23708 85884\n58848 96617\n17337 58223\n40248 91083\n15396 89577\n3472 24156\n11544 59150\n2173 4415\n37716 91582\n9843 51712\n79175 87908\n27196 77740\n101 8882\n31114 78439\n28423 65636\n62569 62885\n7923 57442\n5747 84562\n11759 67656\n3091 3923\n2082 45291\n52602 63301\n17190 94621\n19215 26228\n7342 83808\n15443 47273\n52039 89762\n52854 89023\n58179 58662\n40799 75762\n24272 45892\n6485 48906\n35223 47047\n22934 28472\n81265 95608\n65714 94638\n14889 56832\n7528 13654\n36466 67707\n4131 62821\n42106 84523\n13058 83186\n10320 64233\n8400 75376\n16569 84329\n42799 99183\n59485 88375\n17507 64316\n87944 92647\n9906 81552\n15531 25319\n14221 84719\n46868 67673\n69235 74485\n6990 31741\n10757 26390\n12906 31215\n43922 96397\n36168 86383\n48551 49098\n69057 79939\n25942 63582\n6541 33411\n82950 96965\n9525 78420\n10921 21143\n2440 89466\n21343 60209\n62643 90160\n74071 90347\n17048 74730\n32530 95641\n23076 79743\n69381 77528\n48022 89398\n45645 47227\n5487 59226\n54335 60645\n30769 59008\n14397 48168\n20232 73632\n68486 96338\n29316 49802\n10597 50942\n2830 68814\n39258 85806\n77516 94837\n35766 79825\n28271 62218\n1048 5689\n74127 90246\n13894 74302\n9740 13209\n35288 49163\n5588 62271\n8944 84230\n24260 29747\n7580 17089\n74754 93634\n50034 65640\n6257 47422\n68605 85592\n24248 89043\n31785 82946\n69663 70476\n49570 98601\n16774 38385\n41097 46518\n5464 99780\n13771 19596\n63173 72559\n43262 61990\n13484 81102\n19279 63017\n3272 66249\n7219 58621\n30317 41988\n19014 92778\n36673 40997\n54150 76865\n14883 87207\n65471 96338\n10138 11387\n3425 86252\n19864 37538\n852 38367\n49099 80685\n24809 40727\n7760 9842\n23844 58818\n25003 62744\n4860 15926\n30380 88180\n24676 42992\n13238 33296\n21049 83290\n5487 57256\n38646 63318\n50511 51883\n18198 43837\n74648 95041\n33871 40084\n38104 89918\n78475 84746\n70263 93035\n38811 73569\n62827 84500\n27828 89701\n15730 52163\n29291 82105\n48232 56535\n21403 28000\n69427 99803\n11883 17808\n3743 56840\n39107 68480\n2593 80131\n31050 72458\n14299 79264\n4128 73134\n24073 49990\n66837 68711\n31777 89563\n13600 78858\n66376 69218\n44518 81375\n81302 98666\n18935 19336\n49489 77066\n16490 63007\n1653 12756\n43792 55539\n2440 23919\n81435 98919\n52 52833\n45009 83905\n50020 50928\n3394 25971\n82082 87068\n14896 63211\n3170 84889\n51698 52831\n32226 96298\n10218 93055\n3438 38267\n2169 10201\n18069 31920\n69158 81817\n74166 84167\n45603 70279\n4066 57059\n23205 78383\n683 86032\n21259 35722\n60161 92233\n47005 97128\n27270 29536\n50817 87436\n41300 72210\n61153 72545\n28819 86826\n5171 45023\n22342 63379\n32899 93591\n19439 67180\n34255 50681\n3717 34957\n37749 99715\n18775 81587\n33055 98482\n21583 45502\n37918 93272\n64487 77246\n78329 84995\n55032 56685\n43792 60733\n52287 83437\n28823 77304\n40477 81289\n74900 80957\n8102 98057\n40585 88803\n4354 37104\n22831 37535\n6538 88413\n10308 82453\n10586 76407\n76704 94406\n6741 44249\n20273 95669\n72374 76622\n5926 29964\n36227 77386\n76779 85284\n36430 69291\n87031 94391\n8675 82169\n35238 76760\n26414 55003\n4107 28758\n25754 62230\n16188 74072\n67905 80197\n26302 45403\n20426 96532\n81550 96325\n26212 38208\n13876 25536\n4352 43082\n15095 74882\n44538 76591\n36942 79380\n31292 85100\n33917 66478\n58755 71458\n11738 25158\n28293 52329\n60282 94613\n56412 88588\n8891 40166\n16680 79662\n40255 71167\n70259 80979\n32566 38742\n41923 95866\n32407 65673\n20740 51756\n10765 25023\n36666 85746\n61463 92364\n9204 10310\n43130 78222\n47062 53860\n49860 81675\n18663 82209\n36176 82362\n4869 30167\n27607 87032\n40911 95999\n31082 53431\n8210 59642\n25402 87448\n15233 60946\n26330 97464\n70716 89897\n34146 59617\n38902 62507\n22422 57140\n38343 91642\n11924 54501\n17185 46468\n40949 78805\n39287 58401\n48289 51731\n8920 73684\n66345 82362\n27078 83123\n28572 34099\n37950 53946\n19156 67555\n12768 37069\n65525 77002\n17815 39378\n7394 45032\n28561 33346\n78357 87608\n29064 67833\n25214 81800\n18232 44059\n15071 34733\n10996 19778\n42053 95673\n2868 10347\n26942 49031\n43815 97909\n11627 62940\n62626 89756\n29291 96253\n30353 62028\n13839 27354\n5304 22752\n58444 77654\n40894 89311\n59132 79058\n53625 64539\n25130 86432\n49365 97875\n46519 64438\n17167 32611\n41623 89476\n2070 46007\n39871 88509\n52044 63540\n32429 55902\n65346 98602\n19198 99107\n57456 96162\n30688 91830\n2082 18781\n64026 78639\n38288 51354\n64758 98548\n7997 93282\n46812 72807\n13423 77798\n20429 60554\n15538 52452\n2885 67734\n23309 82293\n52975 67577\n10982 98348\n58014 65487\n75554 96602\n54704 85648\n16816 55833\n24827 50512\n19400 86193\n26488 38676\n13032 73740\n51243 60948\n33093 87802\n33375 60228\n1257 37384\n7473 48656\n51196 95124\n33263 89080\n49629 95309\n20422 48055\n57727 83351\n26519 95975\n14644 84275\n92575 94319\n59628 73498\n88059 89555\n9220 24996\n30740 51158\n14654 89483\n2008 53024\n67040 72851\n5468 74345\n30601 62944\n8741 70448\n2593 44882\n9419 59477\n626 1336\n33725 81830\n41741 91338\n5721 86688\n25288 64096\n74402 90386\n13691 87040\n72549 96564\n46932 84431\n16835 73991\n4991 64221\n7994 28885\n11697 62496\n72912 98811\n31538 48621\n49682 84684\n76483 85429\n42759 78981\n22602 72038\n73104 88692\n2379 94063\n80304 84306\n29477 94651\n43660 52838\n10894 60930\n8778 89302\n68197 98518\n10638 19502\n32164 40185\n69266 84772\n33112 40662\n17660 19537\n23939 69292\n14118 42204\n29566 43379\n9005 59451\n97033 99423\n50931 92108\n20415 44114\n10491 47806\n4673 33127\n2530 44444\n28128 47480\n24141 40687\n9468 31036\n8739 70744\n35777 79679\n9934 64590\n25636 62837\n75974 92815\n31814 92455\n27952 99024\n6951 78431\n9405 70147\n64272 98275\n25544 72916\n21592 27636\n32682 37519\n19223 99767\n38759 56546\n39032 83507\n31483 71788\n13809 75374\n89610 90122\n14473 62720\n72867 95626\n23249 52577\n63288 95088\n30984 99932\n30243 42501\n4393 27822\n41703 54481\n43529 95857\n6645 71733\n83038 96077\n13649 85089\n56564 64756\n44921 79819\n57181 62839\n41012 89954\n5386 26880\n87264 90959\n12933 59673\n78401 94891\n54716 69868\n18172 52580\n43717 57562\n80925 88026\n89302 90418\n48553 68277\n50743 52232\n5701 43660\n26258 52762\n87086 91975\n26504 92341\n65675 72941\n6772 40753\n24518 32586\n76500 94309\n16696 47483\n3635 35035\n38332 89508\n56335 79599\n45426 97830\n1503 15215\n51795 51953\n32503 49400\n53055 86956\n69638 76230\n39105 84765\n38484 81687\n7773 22024\n43564 49245\n50123 85379\n44543 74058\n22935 98254\n1167 11932\n18402 76725\n45623 81930\n71163 79538\n12564 81250\n55431 89562\n61423 98018\n40429 99893\n34753 51153\n25740 87710\n34287 82340\n5355 70883\n36953 40862\n5220 98793\n74477 87551\n4717 15497\n26757 55553\n13620 29519\n24004 93228\n23510 72133\n38625 67399\n70844 83304\n3128 84379\n5540 27539\n14568 32379\n10219 22176\n6701 79211\n28028 74249\n14321 38159\n18327 53576\n2156 53869\n36360 55797\n15527 75146\n26219 27273\n4656 29295\n6876 14302\n47563 77542\n42523 90555\n28684 32486\n8938 18451\n44653 62632\n29068 61633\n48105 90483\n29657 96081\n54808 68539\n55889 81003\n48011 56581\n7172 30332\n36341 54336\n1060 34900\n34019 45280\n31133 40523\n9582 26778\n626 33675\n86795 96687\n47886 56066\n29834 90565\n16570 44078\n19566 62780\n15656 24966\n10637 56589\n19387 56691\n3748 31506\n29967 76230\n32532 94967\n45813 62241\n14997 48416\n14568 84235\n52350 59098\n29200 90290\n28071 48240\n12900 68343\n30020 96971\n60887 96559\n21958 42927\n31791 59318\n19658 42068\n75679 77200\n59842 94306\n3191 63695\n14058 42181\n88958 98415\n12781 83977\n64083 80928\n21526 93120\n34389 96191\n23742 51506\n54631 72302\n26564 65663\n76160 85490\n53023 91324\n35625 36570\n86366 97023\n4354 18873\n20700 96623\n1027 87748\n31665 80278\n21125 78239\n61771 70091\n29297 66698\n18318 47995\n10189 82666\n44627 49606\n13383 82225\n187 45127\n39516 88017\n12596 17991\n16618 48642\n24238 32429\n515 98894\n41987 86163\n24460 98714\n10909 79865\n13397 52857\n33325 49570\n37701 93970\n25390 41770\n57405 78026\n57705 74835\n53224 91038\n30278 86936\n2750 96193\n2883 97623\n61124 65215\n64455 71010\n37677 59014\n11987 14134\n26818 76595\n17489 17552\n49364 63919\n26626 43868\n61681 72319\n76233 93043\n17932 20528\n69500 78896\n45310 99760\n78641 88317\n13571 85147\n624 41688\n96741 98917\n62848 90596\n6593 15044\n36585 85164\n139 49617\n53056 78983\n987 41377\n28939 41356\n36069 61616\n16774 47833\n38030 86363\n45160 78199\n9923 65156\n72920 91111\n50405 60521\n45363 83050\n81583 88250\n20193 70507\n5858 73603\n3727 10770\n5356 13155\n28583 35737\n69672 93768\n12172 87452\n9257 97052\n58496 92955\n41293 85969\n67760 87309\n9715 83440\n34830 56610\n15227 58964\n27319 32850\n50701 74023\n58979 62225\n7589 94782\n2507 94689\n28682 45904\n34704 77413\n33616 47827\n60311 75010\n40286 72558\n37470 79294\n41169 93088\n70093 71227\n34583 55621\n5605 80958\n78616 79957\n64026 72691\n20526 75841\n59588 67845\n25296 87061\n41731 45294\n62224 70154\n32817 92125\n76626 90031\n1453 74639\n74424 93780\n37410 52580\n32121 63208\n55611 86080\n39864 60225\n52705 87985\n43373 97696\n1033 28062\n16970 45300\n37836 93516\n31351 65422\n9414 63374\n85629 94788\n52511 94911\n11427 57474\n16123 60718\n8773 68637\n36990 66611\n22404 62294\n8030 80464\n49460 63484\n63429 76852\n33296 37394\n84174 91708\n30014 33423\n25192 67420\n16296 35160\n7518 17014\n54681 87424\n53984 72275\n2756 4179\n19613 24444\n37615 38136\n43554 96802\n12297 68249\n22894 53308\n22837 49954\n12269 64884\n54134 92618\n68425 80687\n37924 61704\n31350 89864\n10060 33842\n26504 51686\n5255 95934\n15807 52784\n46946 97803\n2986 4708\n68848 72699\n27688 46759\n21657 77770\n53076 86885\n776 35085\n27647 98638\n25512 34891\n36603 67108\n50280 53962\n30065 64845\n52221 90530\n1308 73974\n34906 68611\n16532 99564\n12442 20902\n48007 63567\n65595 85767\n9313 39733\n67841 69933\n15853 29553\n35576 83228\n20984 68850\n74953 82156\n9118 47620\n17033 33936\n6359 20035\n8080 22432\n16483 37061\n24225 86702\n46924 51242\n7225 94887\n70079 71868\n44835 49364\n41328 96357\n56369 86851\n16556 26133\n10 90829\n34918 83032\n2432 33367\n59117 61787\n20175 50976\n95196 97266\n8459 86837\n87744 98221\n19519 55084\n73859 99645\n5626 50538\n50966 63013\n43213 44843\n26853 70940\n28621 45835\n27473 68284\n60536 90962\n878 45853\n69523 81328\n28921 32975\n6724 59082\n77046 96913\n14282 57940\n62582 72210\n15188 57577\n39680 57805\n32473 38051\n15164 58680\n50799 60530\n38079 50968\n7723 49409\n15575 46648\n52492 57393\n1197 86633\n48036 80153\n26159 30798\n3038 35770\n91282 92287\n25445 96776\n3987 97199\n79069 85853\n76769 99520\n20338 48882\n60 63608\n9904 38427\n71746 88521\n25478 67372\n15121 84779\n55845 79244\n91270 97982\n22973 59525\n4889 50614\n48747 84686\n28343 82425\n6755 53234\n60335 71871\n63198 85772\n43628 54446\n55292 87874\n35539 50567\n4137 46870\n1528 15074\n32641 68257\n33710 80635\n32713 73150\n39028 97848\n40668 79033\n59631 62634\n45705 77612\n78254 79494\n19787 55116\n48307 81431\n23648 62267\n5432 15398\n6401 63664\n26600 59381\n31301 32088\n14793 76603\n33310 58294\n10820 88195\n24753 88164\n13903 62830\n19201 38679\n31668 34373\n42486 44211\n18034 91132\n43188 91789\n76016 87897\n42880 96751\n8013 61628\n39971 63264\n35287 87984\n6990 45766\n48586 69097\n18974 77352\n16421 67537\n597 63087\n84038 92917\n67428 83701\n53911 69879\n78136 98059\n32113 57624\n2074 52638\n31850 33908\n14299 97587\n66050 69922\n12753 70852\n1873 17210\n82697 84641\n21161 95199\n50654 52784\n82253 97184\n34845 71507\n56005 83648\n31490 75937\n24450 66435\n2592 40829\n2664 96013\n1105 24324\n7439 84212\n52668 74089\n56848 64397\n67973 90171\n240 6950\n2085 45720\n24492 27476\n54534 82533\n15769 45078\n63138 91043\n29020 84775\n16812 48730\n23711 44947\n2641 80418\n41456 56992\n40152 66643\n5549 37390\n3430 69847\n23125 39601\n10087 12277\n10241 90238\n74156 94224\n83512 94008\n22877 82687\n92323 94294\n34337 64735\n7306 23242\n27198 50944\n61470 87563\n12733 47999\n54613 86141\n13958 63216\n25750 86685\n31360 60000\n57895 86632\n19226 96101\n50754 61342\n68649 82220\n16462 86674\n1697 52488\n8083 30018\n5925 18333\n44777 50705\n42422 90186\n21750 36721\n17289 34398\n40980 65483\n82162 88066\n52464 68091\n685 50005\n13338 81383\n23734 37996\n67831 89380\n54828 73515\n34168 55223\n20386 68800\n48740 50565\n55362 57084\n38319 55885\n38742 71610\n68692 87295\n51463 82411\n53103 61346\n33213 83960\n55317 82902\n15368 22900\n70557 74075\n32783 37873\n14041 64760\n23039 99816\n60173 87317\n29809 64442\n12684 87856\n38817 88005\n31705 61404\n33249 50233\n9301 44783\n56270 98982\n34108 86593\n59709 74890\n34280 51623\n42605 54272\n57076 57209\n15190 90590\n232 84988\n3802 87350\n18240 81726\n37150 59042\n14736 29671\n12412 64246\n24771 92642\n57606 62043\n58634 80797\n8106 89479\n19584 80243\n34955 41480\n9513 56991\n12609 92029\n39804 72494\n83312 92002\n38053 62348\n12119 49585\n28777 66243\n39431 47306\n81184 90204\n64659 72125\n4115 24777\n40110 58983\n7436 30286\n50909 70547\n27547 28307\n20518 73421\n47542 81019\n88476 94121\n94376 94634\n27473 31925\n26961 47689\n28815 47849\n31153 34723\n49861 89206\n18395 75455\n9745 10068\n3807 71827\n1978 4501\n55932 71528\n16373 31400\n30523 98002\n29469 93481\n37104 73462\n33266 73732\n31359 44741\n54262 75066\n24216 64817\n49485 65369\n21684 72488\n14689 73907\n66057 74836\n25325 41148\n28371 94410\n43663 75443\n18735 94534\n75486 93916\n59958 66863\n7501 42108\n93625 99444\n88807 98360\n60468 81533\n19107 51715\n32734 69495\n35109 82681\n12740 86322\n29847 41978\n73147 89733\n59361 97746\n54319 94414\n77219 89866\n40554 60985\n13182 63524\n28645 29810\n59507 87471\n65730 68194\n39605 97845\n1704 22746\n28236 69700\n25893 52139\n1953 78754\n777 74441\n32169 66330\n3346 51508\n80177 84563\n10451 52097\n70535 76233\n75164 83155\n1654 54751\n54567 64345\n57693 78812\n96250 99406\n5834 62897\n12420 23374\n43483 56992\n45079 52037\n28756 64574\n69168 70447\n34877 57170\n7981 82112\n28789 56069\n64208 70822\n32118 97157\n9253 45376\n32426 67022\n96714 97853\n35325 39650\n19348 68906\n29579 90065\n23563 81212\n27902 63865\n61017 67250\n50063 96028\n10069 38089\n4565 33573\n89762 90901\n67130 93208\n64231 95648\n35182 91277\n12017 52109\n53053 94228\n22910 75983\n45840 61895\n69151 84101\n44410 98930\n20246 65170\n1285 81500\n7208 53179\n12771 44700\n3455 92418\n69555 76195\n27457 97108\n31525 85688\n2636 47005\n23355 80544\n51527 71818\n28506 68656\n89030 93373\n868 62003\n10999 74891\n15056 98978\n43531 56652\n79102 90643\n4297 37101\n53583 59448\n70122 95817\n22482 73477\n26863 32932\n5323 21810\n36488 60772\n67757 77706\n49132 70339\n31254 87553\n36296 84564\n5569 63404\n27 28138\n7252 13986\n38617 40921\n46313 48589\n5854 94361\n10314 15149\n49687 84167\n29121 43608\n2112 80022\n12311 36233\n67991 85902\n13533 89308\n16678 24386\n929 68007\n66666 84253\n76461 96406\n48327 94991\n17917 82676\n72557 88176\n67142 91430\n48553 62687\n30319 78228\n2451 13899\n78416 79293\n58983 78373\n58395 93934\n18647 38160\n53957 65777\n51782 76063\n63561 69667\n75090 79915\n33615 36328\n11135 92126\n12458 82073\n31916 97769\n25188 52074\n44249 66388\n61167 78062\n6549 71158\n32024 88203\n30807 89697\n82626 91977\n392 21437\n41722 95702\n47514 52243\n44184 88482\n3752 90091\n13657 51565\n5310 64802\n46907 93335\n14670 57819\n2620 40025\n5214 70030\n41798 95374\n30481 98821\n70783 81000\n19552 60832\n43453 59816\n6624 20268\n47593 73346\n22438 95657\n47808 91603\n61214 71218\n72225 96256\n15697 56895\n21362 49543\n64009 75571\n12305 83671\n13236 40798\n54323 88382\n12370 25351\n1447 12859\n53328 80554\n4802 16916\n67566 77700\n44449 83565\n59206 79147\n52466 55384\n63162 69052\n2756 27493\n3692 33203\n82374 88569\n26329 55958\n59284 68476\n53148 93300\n1757 8918\n58085 96531\n17975 36910\n4606 38667\n36019 83803\n9761 55835\n26038 77167\n4990 45203\n79219 92084\n55277 56056\n6891 51130\n65577 94213\n3437 35174\n10652 96568\n21105 70533\n78005 83946\n5529 69318\n65340 73503\n20454 50432\n4145 92924\n38738 85104\n76326 90078\n61667 84298\n4874 58072\n12109 43725\n44714 60467\n45390 86479\n4196 58418\n25834 81651\n25600 46658\n22769 88624\n38339 60913\n40020 68331\n71571 94236\n9182 86850\n38643 75268\n25931 47393\n7723 17535\n50928 52382\n23539 63352\n24381 91196\n34895 75774\n98922 99876\n35005 92111\n46111 64188\n45327 59547\n71447 96694\n20006 53486\n41122 67639\n2080 60581\n22786 29124\n79840 83531\n60117 87690\n52230 94017\n49663 99716\n3993 28621\n781 54416\n24407 30692\n96504 96949\n55374 58226\n5149 20595\n39490 60825\n64543 93248\n3431 55350\n64936 78198\n68591 96777\n44093 92364\n20926 78887\n9733 87586\n8700 27764\n22094 86196\n31523 55153\n2408 84380\n48872 84242\n68705 91939\n27759 40591\n36856 93210\n16887 45544\n2990 19084\n64327 85200\n47276 92166\n55175 78874\n30010 78086\n28262 71882\n6754 94103\n31816 65984\n35551 79356\n25174 60998\n74984 77427\n10881 57685\n5973 66153\n21235 35236\n55525 83696\n29101 40312\n22060 46676\n19641 52696\n53246 95680\n35650 78067\n69014 76306\n1525 66650\n17742 76749\n28129 66250\n8755 31979\n70325 94704\n41985 89491\n77810 83919\n51241 72065\n16356 90419\n16571 69111\n45108 76523\n9292 77717\n5071 45545\n76926 96679\n65004 86580\n42693 54363\n11866 14368\n9426 73819\n78917 79826\n15612 93757\n18969 25289\n66011 86084\n10055 43885\n43187 59066\n12836 19324\n2040 21670\n80471 95664\n44888 74901\n20427 25063\n26576 88118\n4429 86772\n24083 27235\n44071 90466\n70721 88282\n8940 75954\n63468 83728\n17918 35725\n19344 41473\n66825 99078\n5779 83754\n46486 64011\n42505 88064\n25994 94415\n71422 77237\n20914 54277\n24194 92046\n12496 31085\n19514 52866\n28675 42750\n43441 93778\n14549 54813\n20752 31498\n23107 87527\n22938 24059\n17491 41878\n57216 84162\n21565 63241\n25709 78682\n77350 99966\n34510 36784\n23384 96054\n21866 59036\n3577 39347\n50314 96599\n41093 95446\n19117 28777\n41711 77663\n43549 66427\n1286 53512\n32377 43848\n79067 90146\n11564 12114\n59796 62066\n17638 58921\n26343 75553\n36021 79056\n53432 97751\n1070 33897\n6096 43669\n74922 86168\n13740 95643\n20874 66753\n49963 69947\n42624 80352\n65002 78340\n56341 83209\n36640 46452\n9047 46373\n38432 57973\n47768 84946\n10222 28087\n3848 77697\n37435 84802\n2076 30416\n83502 87974\n4220 24649\n2224 45011\n41413 44773\n47665 68095\n82401 92452\n47557 62294\n65909 66050\n40669 64407\n42902 54615\n35956 43052\n16573 39882\n55613 71556\n53430 62067\n22992 72136\n12919 65151\n48359 55964\n46495 95172\n35941 97628\n12585 51335\n66109 81107\n1496 20143\n38382 84212\n18224 50274\n22801 44925\n10659 33718\n17354 30453\n65649 85937\n11175 17467\n1353 67010\n62599 76103\n75341 94298\n45537 62504\n17476 27557\n13461 16044\n7859 92304\n60113 73578\n62762 90528\n817 26912\n63194 87503\n22987 28168\n34171 85438\n2786 23131\n48344 56525\n50342 90592\n24080 67480\n3418 90588\n1100 33637\n17288 76675\n64630 77866\n22581 82520\n22817 49027\n61888 67667\n17710 32039\n9127 82152\n11756 36718\n6634 38131\n16478 19015\n25360 58380\n77656 86441\n71169 98877\n39217 54401\n19648 33820\n41122 84693\n5139 38382\n15758 63434\n11126 13600\n19037 26538\n19142 49150\n21363 21624\n60368 86080\n40903 46370\n33377 78430\n43828 93038\n54734 62315\n36844 97231\n7999 33232\n41115 61729\n45819 78775\n10362 19072\n20066 94293\n61280 61442\n3082 4368\n85870 90773\n79920 97847\n21355 73644\n1745 93875\n17617 45617\n2282 7066\n22677 34369\n7043 29266\n16944 84134\n7286 75878\n18360 24333\n7972 97693\n92995 95782\n35972 64377\n15765 88784\n72220 93915\n20847 42933\n39193 94051\n2286 85282\n7028 81846\n20791 83596\n36081 49772\n44255 90278\n73178 93869\n14041 82890\n69849 82393\n21929 42056\n30520 89132\n84821 87938\n87803 88035\n50411 85040\n7195 48111\n52302 98715\n64894 86567\n49262 68853\n35450 87190\n77721 84214\n45374 59593\n38309 42364\n33727 86583\n5802 33308\n53720 93934\n28470 92183\n4412 20008\n37169 88161\n18681 84505\n8215 37606\n35293 58501\n5383 65929\n49605 66883\n69788 90939\n89706 94727\n69576 86089\n33217 51564\n64413 65774\n55900 59011\n45952 59410\n27517 36211\n18071 28781\n15529 43423\n1688 29764\n31865 41788\n46301 94352\n3970 45005\n23722 96575\n40268 66130\n65695 79714\n13121 19399\n59724 83394\n13594 43496\n13102 30939\n2693 35013\n3506 47430\n4026 65301\n2187 45156\n14330 94853\n54929 77999\n77447 87598\n57525 69821\n85529 91866\n5566 32890\n3317 70803\n18369 61539\n40095 53369\n21196 56134\n30582 32740\n67693 96995\n8261 94859\n19922 83162\n12582 38424\n18362 37875\n66639 84549\n13698 96362\n9561 22302\n72782 91738\n42487 43390\n6774 35975\n28259 72738\n33882 92687\n21932 25765\n4183 83556\n218 97208\n36063 63173\n42386 68175\n46025 62500\n4670 96921\n56639 86660\n33114 40163\n58969 81798\n47182 51620\n49910 83703\n24145 24267\n42371 61814\n21585 52501\n924 56183\n27372 32188\n18930 84586\n7391 75716\n13621 24335\n14608 38896\n42328 86713\n28281 36270\n2302 75916\n39617 48734\n39310 55786\n59175 66292\n56187 77791\n14320 47950\n49297 62528\n34 60054\n10515 93055\n14453 74190\n21678 35177\n7132 97254\n22563 72400\n36748 86492\n34586 96564\n91343 91359\n23975 84169\n16627 77257\n74048 74322\n32683 92836\n11092 61529\n3603 55743\n13631 24700\n44203 46150\n77539 96489\n49050 89363\n33363 47790\n39579 68404\n14418 44942\n20910 66186\n43261 83308\n45109 97312\n6624 42930\n7174 23609\n55393 96331\n42520 67651\n17353 82648\n24708 94877\n81435 86740\n2800 69719\n64705 77186\n23898 39822\n40667 89547\n47913 80884\n44860 93168\n73936 87464\n41920 47873\n336 87004\n26829 55284\n1682 53327\n33186 81921\n8548 18576\n16330 63611\n27415 92197\n8416 87742\n32784 62406\n47587 85300\n5 6651\n288 2091\n6712 70678\n10070 99832\n30850 82534\n6699 59902\n6741 24097\n60161 99599\n6927 11528\n10944 77191\n14567 77771\n16720 80320\n39115 81219\n21503 41864\n13213 34737\n8875 10791\n29991 89316\n66420 96827\n3332 73171\n12591 68414\n34987 78860\n52422 55164\n85783 92047\n11741 82472\n57867 72687\n15730 41953\n60622 94027\n43802 85548\n17307 64064\n47707 89366\n21278 46456\n7389 81220\n43876 99790\n16899 80919\n25807 34234\n11050 31106\n69827 76413\n74091 88333\n60609 70168\n17217 45659\n32693 54155\n51966 92931\n2040 15531\n1495 71189\n36421 88058\n82719 99061\n23039 47100\n2845 8465\n47492 89128\n214 49706\n18945 81419\n20681 22645\n50062 92527\n45005 74728\n62841 66756\n76933 94889\n57661 70337\n2187 89045\n39757 68412\n30090 82371\n66136 92439\n25925 47251\n11086 43964\n54798 70058\n11056 50186\n19443 61698\n25963 71108\n69382 73765\n8386 23554\n49865 89605\n32816 58462\n6561 20130\n37496 69507\n19243 56952\n1480 54447\n4468 22761\n22373 69079\n7515 52741\n40896 45202\n46213 64547\n2010 62221\n1834 37900\n62089 84753\n74453 95575\n11638 70974\n48962 77863\n18337 41908\n38487 45397\n12158 80349\n18777 41218\n64614 79942\n48586 83186\n39525 67430\n45855 74259\n9041 72429\n42002 45865\n65941 71710\n9360 88375\n22142 25983\n3573 86837\n322 15192\n25656 68180\n2854 6723\n46279 70868\n27693 50451\n52562 76066\n38501 38715\n48377 85683\n27039 82350\n33270 86617\n2606 4026\n53713 75034\n62687 88183\n485 28573\n21200 44062\n10488 20278\n70217 78484\n12913 77259\n24716 26816\n25649 78757\n40037 84996\n42317 50959\n7591 60122\n58262 86002\n48004 97472\n76009 83082\n11896 24469\n48843 72878\n33695 36164\n14204 69494\n56435 94773\n51315 60566\n54807 77819\n36997 37824\n9205 68418\n3340 80266\n47635 48402\n16132 29027\n41870 66445\n57259 58306\n29732 72278\n16405 48038\n87986 93630\n23174 44866\n21440 77611\n38465 47607\n37590 46817\n38297 64897\n43473 84233\n2534 72386\n43961 75235\n19999 80612\n71400 94047\n76344 92965\n10857 91104\n18891 83701\n24623 31470\n16740 63014\n18547 50863\n22195 76175\n8298 27985\n33331 41253\n58578 67829\n32312 74377\n70159 72641\n22716 68600\n62880 77367\n96264 97354\n70045 70527\n35398 40539\n25684 43053\n83036 89660\n73647 74519\n36872 92578\n9635 72576\n51337 71066\n9234 15992\n11866 58412\n992 18130\n3706 34592\n30727 38199\n23832 26028\n75222 87990\n74003 88818\n36935 76539\n3407 21692\n48399 61650\n13368 71010\n55140 95196\n26049 61466\n92517 94320\n61882 81241\n823 60753\n60290 61021\n35066 81792\n19460 41304\n40877 52952\n8973 39048\n9563 77221\n1174 97356\n5988 56334\n35115 92965\n96846 99374\n4534 19904\n31943 49261\n10787 33958\n56159 84991\n18340 52056\n68495 70814\n20158 75830\n25771 44095\n40423 51520\n36595 58846\n25612 36237\n11961 54771\n41236 49385\n20588 61244\n43854 92610\n10084 13846\n16979 56901\n32151 44335\n13723 30565\n56251 81162\n67654 98806\n30269 33665\n55731 71328\n32519 99251\n21974 80988\n39051 48333\n11207 41396\n38402 53392\n20706 69531\n23629 46818\n74065 87990\n97213 99803\n16134 87127\n6814 8172\n7354 88599\n51326 98502\n84466 84957\n68519 69057\n40028 88146\n11006 31999\n4326 90902\n4121 71343\n24494 43979\n34598 96046\n23163 57662\n77370 84074\n6366 17990\n4616 15469\n555 26532\n80266 81063\n5639 81277\n19228 31493\n20428 22749\n351 97389\n66473 83791\n34479 56308\n80261 81619\n9081 32237\n3611 34491\n7231 79159\n52968 81270\n55861 59008\n60193 94888\n44300 71003\n71569 86430\n2838 75837\n48943 87474\n933 95744\n13206 29371\n32877 84612\n47652 83946\n5067 37936\n19901 29994\n5743 6990\n7439 46590\n63065 96854\n66861 92092\n162 77890\n15672 96937\n21285 30541\n62858 79910\n43469 52007\n21370 29051\n47246 95534\n43439 69221\n27786 41205\n76528 97700\n7976 53460\n40197 54499\n61791 68369\n6574 49296\n6282 42496\n14954 81265\n87807 97870\n75493 78571\n41265 65736\n15930 29891\n24409 36522\n22094 27081\n65428 95934\n20520 58212\n17847 30000\n2210 12100\n39900 66635\n25378 46032\n32071 77271\n45495 52714\n41689 74764\n33602 79695\n34239 63644\n17453 80325\n20144 50172\n2496 37471\n53970 55442\n4278 88463\n25061 41769\n43665 45265\n7343 25443\n15354 35737\n12924 98348\n26516 74055\n63197 86033\n35750 84159\n4355 94567\n13230 76668\n4317 78988\n17803 52406\n76008 98657\n11347 21790\n2747 39502\n63323 84336\n50694 98310\n20017 45225\n14783 94731\n67678 82696\n30012 36552\n14004 59761\n46962 67011\n28234 97858\n21389 97644\n130 33993\n26955 78036\n1667 75787\n13153 20634\n44249 84618\n5971 17687\n29259 72357\n5197 47052\n41880 93298\n55095 74600\n40142 56562\n30082 68276\n65376 74213\n11855 84779\n51226 51919\n19502 19860\n16635 20097\n17011 26321\n31168 51597\n32678 98989\n14180 71045\n53252 86585\n17594 40677\n53968 78910\n45433 92985\n13837 70250\n27525 88205\n26833 82921\n14543 33270\n15513 16512\n28336 32359\n82824 83095\n17940 48149\n24314 32072\n45586 78451\n1932 86024\n47807 61174\n25771 76101\n37929 51609\n49423 69386\n26053 96679\n66647 88237\n35645 41950\n42759 86538\n58982 93592\n33451 85247\n30531 56310\n59393 76006\n17867 65091\n3771 86485\n9865 75078\n22548 24315\n17139 97549\n23609 90248\n3197 10869\n66153 68821\n55093 80475\n44582 68577\n12245 44732\n13137 26364\n46005 51324\n12888 77022\n11728 52234\n18732 82366\n34503 93035\n89194 90122\n61274 90752\n57729 64566\n9858 76607\n5333 50437\n28588 32127\n70535 90150\n11087 30597\n12994 63094\n50539 71983\n70472 92662\n48696 71233\n42284 74452\n65994 78422\n30720 84289\n22578 80510\n9928 66147\n42973 78142\n42205 77127\n25499 68638\n47733 54869\n78979 93452\n22715 91429\n34181 96823\n14785 35102\n6269 81284\n14881 76958\n47970 60443\n20064 41494\n33642 92857\n1111 10578\n73661 91565\n29851 66262\n22751 37045\n11562 89421\n24355 50659\n44126 49567\n36958 46488\n10691 71524\n9908 45841\n96745 99037\n3051 68079\n68617 74458\n52336 59904\n4636 86384\n6740 63026\n34906 73568\n37680 81648\n39802 95173\n2030 75310\n10679 74025\n3909 88615\n14269 55019\n19034 68838\n5036 89539\n28780 88736\n18384 40767\n9593 88909\n8080 33585\n80259 83180\n35767 96052\n18807 57254\n9143 96728\n783 38349\n32387 53476\n45278 57193\n17826 88250\n59304 81661\n27000 52670\n34236 92214\n42842 59724\n37487 51877\n15293 49264\n35877 78297\n45575 46592\n15489 43350\n26575 78699\n43971 66980\n21174 91390\n29875 48475\n19576 95335\n45995 60737\n19993 78728\n47213 99545\n84684 97712\n51451 66449\n8651 57413\n29563 78211\n43316 43517\n47805 54779\n48854 70905\n40329 64072\n49229 84885\n88885 96922\n48349 67203\n19297 58070\n62555 84501\n9845 97758\n7132 31983\n78406 95541\n26208 45039\n1552 4472\n58253 81753\n70324 83743\n3657 37748\n44853 81738\n15535 60096\n42388 76578\n36413 45720\n1055 67205\n73619 84804\n20259 45482\n4558 66792\n7265 95884\n4009 20590\n12182 32341\n1832 93666\n45018 61236\n27517 58398\n28495 60788\n30234 75069\n61967 64553\n73978 93829\n73000 75016\n6940 75776\n34871 50789\n3991 14397\n57731 69230\n37060 61579\n2610 75294\n37044 52900\n2915 33823\n15584 32856\n11515 35907\n41287 95765\n1292 37344\n6461 72396\n3509 93156\n22490 72251\n49416 57717\n34014 34791\n22797 97067\n11615 41521\n6040 64798\n23783 33655\n52073 86240\n8366 51976\n32038 38983\n59900 64931\n43516 77166\n19817 49890\n15423 99821\n79338 85406\n29471 75297\n9470 27665\n20916 73974\n45515 74829\n75243 86897\n11292 29505\n73365 84888\n76974 82808\n11384 53188\n17037 52843\n4165 17971\n8023 9817\n12055 62202\n18671 23368\n21267 65104\n34707 50430\n25468 53029\n5162 62527\n37416 54857\n74416 92775\n64643 72828\n15471 91294\n27315 30570\n35556 97174\n22598 73857\n2432 93582\n76370 88195\n12925 60900\n2485 71884\n24682 65435\n2457 15015\n46943 83009\n4309 80473\n26761 46908\n13425 72661\n63186 97169\n40928 79605\n64143 73922\n31963 94021\n72224 97211\n621 73955\n19615 83740\n8841 69806\n2678 83470\n38224 88708\n30690 43016\n3890 10358\n8957 40878\n34650 60692\n56827 84812\n7821 21081\n32105 76326\n22283 76166\n7616 46322\n5055 26691\n17181 28895\n78920 95728\n6392 39843\n3908 48248\n26879 35420\n6471 52712\n28252 61368\n8825 97474\n5541 33902\n26799 42640\n44366 97960\n17467 78062\n50738 74937\n6743 12960\n7285 69114\n33779 66750\n26797 37426\n2008 54666\n36445 59477\n34501 42428\n77540 97905\n56047 90972\n21393 87926\n13721 66041\n64804 95157\n37707 76550\n53351 67565\n41519 42572\n32937 94454\n2677 6078\n14004 83770\n40877 56733\n59104 75935\n6041 38788\n68123 91181\n51524 69692\n21528 98705\n610 27821\n1432 4498\n4483 27693\n18884 37363\n36165 80760\n15482 75864\n23491 67304\n34567 66033\n3883 30490\n77250 89513\n11279 70390\n4700 96021\n10938 49449\n1240 80870\n40909 93683\n22514 31161\n90035 98355\n20450 28522\n39928 82467\n52 19931\n75891 96917\n68430 91870\n25835 88138\n30695 93357\n38522 65287\n7238 29533\n26032 76695\n60538 67310\n31312 65837\n50192 87098\n48061 54517\n17144 79934\n59703 75540\n45432 51038\n8315 29332\n20887 77416\n2060 31276\n18049 43586\n8872 91302\n30893 47432\n61664 61790\n31468 51515\n33592 46377\n2051 73515\n42158 77799\n13301 26859\n19324 76158\n13280 85377\n12646 50096\n6012 35216\n53819 54953\n41712 80362\n43339 94164\n25138 56481\n28284 45903\n52655 88765\n64899 68004\n47028 59074\n88816 97372\n64743 66252\n44560 88304\n19824 86502\n76346 99753\n38346 42713\n46451 62102\n71829 99300\n6305 32938\n78568 91486\n96413 96731\n83558 96342\n62668 92990\n39899 54541\n69569 89928\n5159 79832\n19407 72310\n31204 56762\n5157 55545\n32990 49674\n16669 63647\n3587 4877\n13177 37674\n14977 24099\n31950 89023\n10081 46806\n3511 29370\n26124 27263\n26586 42879\n26465 72839\n22746 95132\n21892 41098\n78506 88594\n54741 57304\n40451 59667\n34561 71628\n66746 81580\n47513 84224\n13837 95298\n2924 77784\n58028 59197\n41565 45304\n49741 72330\n15882 73383\n33860 99343\n32514 65082\n14004 75731\n12621 28502\n32714 65805\n7693 43020\n26045 62161\n64555 89944\n7953 80907\n40442 57321\n16669 47026\n47302 96350\n11733 29720\n38106 50158\n52521 64458\n12266 87566\n11818 63077\n5423 73444\n8723 51113\n49021 60099\n60084 85209\n3697 37871\n52106 70173\n777 6183\n5936 65486\n95575 96327\n26484 76627\n61364 69710\n3764 20540\n20446 35039\n43309 62634\n18205 62874\n57183 81867\n14788 71716\n41966 51768\n46690 62925\n18410 95172\n44606 71138\n51543 70019\n31829 49427\n35708 38412\n47752 56801\n28579 96815\n62729 83990\n73569 80768\n19599 23329\n66702 87737\n25782 31589\n4194 6329\n39095 63588\n43547 62831\n30540 93827\n56849 89013\n7786 56058\n29338 48259\n91365 95260\n38265 88050\n33198 70771\n54063 76891\n21928 52343\n38013 50170\n26334 63601\n41527 71490\n46981 55687\n11013 24982\n35884 61922\n210 25165\n11070 42166\n38096 47786\n377 8317\n1787 40500\n58085 93458\n36207 57834\n68654 91613\n26324 53701\n9247 33415\n31812 65114\n1582 48088\n22244 61898\n13720 59650\n60658 70007\n22347 34313\n41279 83000\n20944 47755\n77852 95164\n62016 68887\n68780 97798\n12960 98037\n50818 83079\n5469 76932\n23429 58298\n1885 21212\n26741 29529\n14997 15883\n55835 72189\n31111 31324\n1651 82766\n57567 63357\n42341 57539\n8030 60262\n58006 71104\n43804 75640\n29064 56611\n19657 80695\n49021 91820\n20062 66080\n52120 78656\n11016 94891\n38027 63952\n20664 67797\n6881 21085\n7395 51916\n38484 56638\n62605 94269\n28924 81190\n35534 37051\n78344 79232\n47519 86392\n58759 75948\n19751 46837\n34246 85343\n9726 79520\n21740 53955\n35636 66806\n2818 38419\n7085 32898\n49721 64139\n10258 79220\n28286 60041\n61999 86745\n35747 76022\n2797 24569\n55330 61468\n37480 95401\n27104 76391\n7313 9258\n72657 87922\n3871 6280\n8124 67677\n1663 31111\n1666 96304\n23160 34968\n53757 65469\n16418 36976\n86223 97232\n15582 96789\n15948 84372\n12060 59882\n32940 77686\n10363 93518\n9725 32000\n11360 51369\n1969 36933\n36613 99965\n43421 78743\n6771 29379\n57305 94849\n16641 95078\n12006 96325\n16780 35719\n52772 78896\n52220 72797\n27535 78884\n87354 96245\n24777 47789\n15891 48658\n51328 70882\n28151 40654\n9011 43879\n35078 95116\n10762 69692\n31276 76205\n77026 84447\n56041 63325\n17474 56183\n12905 67025\n10432 66208\n40120 85250\n5328 30281\n39311 73027\n40739 66463\n80591 99298\n28036 92626\n33279 59956\n553 63827\n32906 55582\n4506 37543\n55598 60608\n24655 51825\n45297 75649\n2708 66313\n57385 83349\n3346 59058\n55075 75675\n41100 96069\n23076 81291\n23 17680\n16515 67386\n51580 89861\n39470 65639\n9963 63263\n21563 77341\n10764 18477\n29621 53104\n22394 83741\n56020 56132\n47077 84145\n21795 73643\n25669 47896\n81520 91882\n59768 68060\n50261 68975\n29379 76091\n12905 16851\n39053 78772\n71305 88614\n13862 68662\n22494 41788\n36178 90636\n12806 14133\n25710 56449\n21856 72174\n9815 73942\n10113 58856\n5715 33857\n406 97492\n28258 30328\n4276 20958\n1418 43543\n29468 35237\n4196 85978\n9774 43485\n6766 14296\n84881 97741\n2388 93039\n52455 95109\n56449 67308\n4452 44155\n66125 99779\n15552 54797\n39251 92524\n39731 87171\n89437 90046\n49291 86948\n4369 58317\n18169 62434\n37323 64886\n87759 93765\n3437 29192\n10894 86942\n2565 82260\n19880 73145\n5231 14042\n39834 64419\n91468 96281\n45091 46852\n50297 72688\n12895 84800\n4225 33257\n29058 79250\n3303 9592\n23141 82652\n14682 78240\n11821 91634\n4277 61336\n32480 78029\n51393 88920\n78605 89080\n17570 41342\n28084 95391\n55248 88814\n32598 75738\n4940 61594\n4703 98263\n35203 69014\n75191 92431\n1904 8353\n24428 73337\n1341 78078\n58957 60847\n8133 40238\n86917 89706\n40097 79945\n43880 68723\n43490 57118\n14031 89286\n27455 29300\n61090 82935\n33299 46650\n29389 85650\n12443 39229\n70146 92048\n9397 68370\n9560 33689\n51119 58273\n67933 81186\n45802 71276\n13986 15804\n15815 95120\n3977 67534\n6402 24988\n6422 25691\n7859 20796\n63402 77900\n20894 41389\n6340 6667\n66428 82377\n26593 91499\n29887 98977\n17545 70298\n68055 91812\n9675 40675\n7274 88460\n90356 98374\n51852 83278\n29322 39915\n34008 93499\n68708 79085\n16676 54888\n69171 87944\n64135 76490\n47567 61410\n16450 33139\n27553 53571\n6683 45837\n17000 66901\n54239 83691\n17994 22725\n32662 66741\n61217 75944\n25683 65629\n37699 94559\n23655 23683\n23044 67809\n21368 85560\n26041 86836\n41713 95650\n82463 86119\n1752 68646\n80741 85565\n32066 36139\n11669 23890\n32864 98259\n14655 94480\n31250 88583\n61416 63348\n46042 87344\n52745 68203\n40125 95877\n9580 40765\n9337 30140\n34175 46750\n41916 69626\n13321 24692\n61433 88405\n44039 56358\n85744 89326\n82446 87673\n7346 46926\n9716 56271\n2219 93649\n12244 42945\n42075 64126\n15827 20270\n9881 68506\n6471 91746\n32942 38129\n82482 88192\n23537 45278\n64515 99684\n17595 82533\n46974 77969\n67989 68209\n6330 31607\n54129 62398\n28332 88266\n41934 96644\n41037 60403\n61057 82773\n68697 75409\n24120 42133\n12495 54350\n2100 27746\n33732 60552\n10527 39851\n79557 83402\n29703 97893\n10632 73200\n44015 44030\n9768 67035\n40701 72978\n18531 80815\n58156 90663\n78280 81045\n29842 60123\n49576 49881\n52772 70692\n4335 10098\n3406 60804\n58530 64435\n406 46791\n3692 7713\n68333 75872\n21480 35290\n38013 66481\n2397 72744\n38851 51353\n42017 87608\n11834 62610\n8299 26408\n28723 89070\n33243 35606\n25815 66806\n15523 61048\n4298 43387\n39386 56942\n11890 64075\n1611 12972\n49668 57495\n62787 91438\n47979 88366\n40537 63124\n7901 62012\n18354 79895\n4735 31069\n11369 94826\n6414 97864\n62116 79796\n42418 81750\n83536 83728\n20693 71057\n28364 28551\n5000 51720\n17297 32013\n47727 93106\n10698 11414\n928 68692\n52044 58036\n2515 25132\n5892 37604\n681 27168\n1199 13230\n24111 87813\n5698 80568\n24536 63474\n31031 62868\n5721 9814\n31935 53062\n55049 68050\n66637 80662\n29219 93514\n1974 39360\n2668 7965\n17655 20636\n41320 43947\n97927 98224\n22563 79600\n12409 21255\n43410 57009\n79839 90195\n75386 91488\n92487 98011\n29188 59137\n8805 89996\n1206 41088\n59134 82822\n19606 67452\n90729 99074\n4376 40463\n35766 41174\n62022 70269\n23805 65255\n17628 38819\n29733 93119\n16778 39948\n80594 88167\n42744 86536\n85760 88615\n53597 98651\n29713 50722\n6895 10101\n67982 91067\n17725 99261\n39539 39922\n26335 87288\n16765 68623\n4046 95096\n6085 61881\n64550 75139\n1806 70192\n64645 78218\n11781 69544\n56669 88493\n43871 55026\n22638 75318\n19869 73490\n18515 19927\n15511 60681\n3492 89946\n92926 98545\n18955 75743\n18675 65215\n43841 84775\n92252 96848\n23498 81285\n52058 62665\n22018 46501\n6564 25613\n10540 36437\n7965 53791\n63758 71302\n8068 43975\n56944 88452\n77736 86658\n21833 30968\n34052 44312\n47205 87112\n1056 83460\n40789 96384\n35053 60494\n7171 95370\n3826 23936\n51640 53206\n41330 49470\n4986 56654\n5862 27846\n16118 24801\n25332 33157\n49242 66161\n10594 96459\n41315 42636\n56137 79840\n13172 95877\n61162 76692\n12468 47037\n2587 43497\n17766 93963\n21839 53862\n25160 73760\n48747 68210\n74598 93913\n8393 31073\n28924 53703\n48901 66992\n24583 56031\n75506 95360\n28132 67677\n58663 94084\n17116 47337\n51809 63938\n119 3691\n48090 85027\n32813 86504\n11057 90135\n27006 63676\n8980 33966\n45712 53725\n40024 58156\n57749 68259\n18508 20731\n2284 34408\n46398 79570\n21022 28449\n3309 24213\n64715 73786\n86526 94199\n11220 36613\n59091 71669\n24944 98455\n61379 75036\n30002 94620\n26618 28112\n93106 95071\n50050 62022\n12568 65345\n28268 38915\n73328 96489\n12713 49511\n52234 57799\n71154 85281\n10243 32388\n8047 8086\n51850 70499\n32267 59120\n4922 47937\n43720 77022\n3922 20801\n9896 66070\n38900 62718\n21263 85016\n18397 92291\n5447 57848\n76723 91120\n85779 98043\n32757 49799\n40602 79002\n88288 88927\n9422 54901\n20597 29149\n52299 80567\n3459 44661\n17564 39639\n20326 88549\n57453 89946\n1483 44118\n5783 79258\n36209 69445\n23136 63494\n27240 97669\n31054 40893\n85767 92092\n64335 93799\n15650 59014\n7073 79579\n39006 42729\n35680 82996\n23731 63938\n87025 88294\n44751 78762\n12489 33486\n31353 49183\n37925 42633\n79467 94825\n23639 73382\n25848 96034\n38032 60300\n40202 81879\n46831 49429\n84423 87230\n71425 95247\n67696 93940\n12593 88397\n3058 19077\n83581 87953\n2937 44192\n12851 46243\n22475 99091\n41767 66479\n36284 41205\n82546 97492\n40262 52050\n6759 86141\n42678 66246\n46698 48026\n53920 58541\n27957 99025\n42656 69251\n20207 29841\n70737 83555\n20565 82642\n33002 39935\n48556 49453\n89545 90905\n17425 26265\n71119 78204\n7379 88638\n30620 94235\n86524 89893\n14571 63533\n29223 70309\n38114 77920\n86470 91448\n29574 62769\n913 79224\n1839 76381\n25271 99330\n47991 65476\n14692 68477\n46379 58346\n2360 24952\n42171 99682\n2430 72972\n2517 17328\n82403 85370\n45185 64280\n48579 75969\n10930 93325\n52358 54033\n1100 36574\n29368 30113\n25433 43717\n4208 37620\n17308 47411\n2601 48091\n75143 98259\n25006 27855\n12599 14990\n47355 93776\n16794 32009\n29629 39332\n47796 95177\n6526 41879\n23079 37198\n76613 98604\n43862 52211\n15097 65780\n19631 36541\n42287 74358\n17695 95801\n6459 26489\n31666 50771\n75162 79219\n62253 87480\n41093 74335\n2173 81722\n38579 41815\n7702 72842\n65670 70726\n31905 54938\n91432 95108\n31325 91331\n5933 80673\n58931 63274\n82497 87551\n35777 52954\n28428 60196\n46898 74341\n29582 56911\n7935 18394\n89387 93107\n2694 57928\n27933 97486\n51012 84909\n23674 89884\n22081 41346\n7963 94378\n86115 91819\n8767 87405\n44992 84406\n34286 43759\n83285 93276\n26160 97604\n8447 58427\n15469 87271\n43820 77217\n88099 97386\n5309 7197\n16208 93518\n35328 38931\n49495 59563\n21913 46109\n3488 69617\n8269 37442\n34344 48130\n42769 61793\n6596 10899\n19493 28399\n32173 52514\n23318 66341\n4388 82697\n17488 25937\n59987 72476\n16164 21742\n18325 45291\n9674 55464\n30440 62109\n13956 75597\n38139 44406\n2469 6942\n64172 88463\n37638 96340\n4389 92613\n36033 52008\n11053 30410\n45921 66607\n4131 71418\n24165 75158\n1940 29199\n57072 76079\n26169 91407\n3289 16027\n7253 46233\n1884 20342\n6165 20648\n7145 50297\n55247 77373\n27723 32249\n6746 67000\n44482 49154\n26777 85482\n19812 72174\n67660 86201\n15790 23926\n38863 59862\n4933 35496\n14645 94895\n5499 97378\n9308 83347\n32944 79876\n42985 88347\n7286 56313\n29071 89971\n18470 52297\n90957 97519\n4301 87140\n2388 93125\n1270 24110\n51939 92823\n4359 66161\n65644 68438\n67601 80810\n61827 92641\n66534 74276\n26633 28069\n34933 41207\n12278 83748\n29361 82598\n27892 74236\n53984 91119\n34943 56671\n12399 19578\n39784 97084\n24323 35608\n20315 95153\n50776 95133\n8107 30196\n5515 90732\n13266 80425\n13429 17482\n57544 88891\n41316 71525\n25264 55900\n32329 62268\n20165 83210\n75186 94130\n56139 96974\n39695 88376\n27735 50140\n29520 39358\n58023 98938\n4893 16566\n49769 59452\n40549 65256\n16874 34446\n15600 58306\n35101 51894\n32047 68793\n35584 66867\n10525 46961\n10367 40411\n29792 71521\n45205 49853\n59210 61804\n1918 46984\n5296 80588\n7665 53964\n20608 46873\n65947 98249\n39265 39671\n14922 71943\n56310 99319\n46526 99558\n17015 42444\n2231 64022\n29817 86989\n29517 44933\n63929 80114\n73716 94340\n44938 78669\n44045 57064\n35219 85300\n462 56532\n29952 51187\n6709 85585\n12172 87414\n26082 62928\n32283 58164\n40219 98733\n13356 29242\n77637 95399\n76867 88105\n13445 54678\n9657 87367\n34620 56802\n44592 74196\n70788 91068\n46723 68643\n11267 37418\n10006 26224\n79453 94902\n68900 78434\n13956 26481\n47556 54519\n44745 63916\n8663 32976\n7832 94051\n41219 96713\n13510 96754\n47558 88864\n20944 35279\n16912 71537\n72159 80759\n76222 90797\n62467 70084\n26619 92901\n1317 5422\n52862 57108\n41592 87985\n44264 73827\n27208 47910\n5401 81458\n19122 79131\n28428 81117\n27370 75795\n6583 59953\n31043 65151\n62608 81677\n3432 12576\n54838 65537\n7363 89434\n2015 75685\n19100 19421\n9186 13123\n5673 9588\n27542 65510\n41282 96765\n48820 69901\n36773 96310\n36164 82096\n16927 92545\n5898 72277\n14218 51300\n4821 72313\n27702 79595\n62249 98253\n39359 48049\n11594 70801\n17892 40675\n44049 95161\n28776 44030\n73739 84865\n28337 68504\n77269 85670\n1799 13835\n7198 65420\n54402 65819\n13154 76708\n89369 92794\n44299 99258\n32253 73458\n65296 87272\n87975 91727\n42705 95529\n41595 58062\n7348 45081\n46235 53548\n5318 70994\n91049 98728\n19261 87215\n59410 66547\n28664 79560\n54956 68597\n12599 40312\n33918 88610\n63325 67990\n56403 93017\n30539 49431\n53369 93170\n20575 35569\n9873 85161\n29790 82971\n3821 91745\n57814 80301\n49275 87374\n68859 75997\n471 88656\n43233 56372\n55718 99958\n3694 19059\n49416 81179\n13356 38422\n30715 70785\n32943 55606\n22390 86190\n49515 75825\n48212 77121\n54128 54159\n10843 82273\n20085 59544\n23395 93916\n20068 56754\n21928 40142\n13483 47663\n42585 80222\n23001 71516\n44205 83913\n40094 84055\n64347 89652\n16642 25445\n3795 7193\n7456 39895\n25473 82605\n45186 76115\n11165 88860\n63830 83079\n15985 82743\n71233 96290\n48720 60072\n54505 74618\n1004 18268\n3731 96471\n73821 97019\n71567 98706\n32205 96507\n29039 47412\n12033 27551\n32390 94387\n84798 98089\n21900 86271\n30420 82266\n4934 64245\n54489 73369\n45163 49387\n61678 90439\n29097 99109\n13616 88471\n30584 78424\n42744 58205\n52128 92080\n14720 36012\n51213 56924\n43149 82027\n73784 95610\n55146 99691\n2831 18382\n20133 72150\n14125 39496\n2927 34295\n19059 80357\n42356 90504\n36727 95479\n3985 13051\n6897 79458\n13463 60276\n1619 19620\n11409 74276\n39799 90022\n33685 76922\n39825 85636\n43862 78541\n15691 97861\n53394 63628\n77111 77462\n6254 51041\n64305 77471\n21680 82720\n14659 69785\n37940 47588\n38335 53094\n2021 40888\n37414 65875\n41233 45845\n5147 27262\n3007 12975\n56242 61915\n66998 95818\n37149 94319\n7666 51727\n74501 88561\n97022 97552\n7370 30284\n6518 23576\n59165 94165\n27703 40162\n44586 75254\n54207 88940\n35360 93459\n3858 41223\n11316 94680\n15679 69288\n83966 92264\n32385 42445\n42059 48490\n86446 96435\n26405 45947\n67720 98759\n15536 96467\n50534 82641\n12766 90264\n29855 48007\n1419 49324\n48992 69286\n7769 67054\n49092 92335\n3216 7247\n79386 95307\n39138 76791\n17250 51910\n15480 88809\n24277 65638\n31916 64488\n11854 20399\n38319 92835\n32910 56130\n40191 62324\n19082 91414\n79912 88937\n13532 56114\n17405 59447\n63530 71131\n15431 86030\n5854 23220\n9607 38572\n25430 55181\n9429 65810\n39567 46448\n77142 95901\n13163 71494\n38674 39031\n13264 33279\n72799 93983\n14531 84147\n60476 93365\n45055 77615\n20951 38720\n53905 93413\n73113 86376\n18608 87049\n11527 57964\n75389 83287\n35789 40992\n12435 78524\n37488 73121\n19647 61978\n6730 23505\n2221 26608\n43501 90795\n65223 96015\n13069 93858\n20935 77538\n44811 95721\n54268 80973\n24280 97335\n433 14485\n32922 56893\n62228 84748\n28994 89005\n17191 69840\n69174 83670\n14221 17821\n31996 74881\n4525 55762\n24296 70882\n76738 90263\n41997 96659\n42075 98082\n8287 52323\n8141 86832\n25396 82327\n4120 53703\n37982 53035\n38400 46284\n13433 57657\n29693 55078\n28364 45610\n21720 92962\n11543 19601\n58759 62487\n23970 37042\n45462 95136\n57578 97199\n20374 34138\n25259 30561\n6626 19581\n35012 59156\n44377 65510\n216 21496\n11252 86049\n34727 98824\n4441 56071\n31565 74571\n799 17805\n22143 70181\n34398 89684\n45509 54819\n25350 89156\n50674 93434\n40315 89685\n54464 68386\n1708 3152\n53771 89382\n16943 19164\n40399 79912\n39312 56154\n56156 56657\n12684 95854\n34598 40423\n90392 92111\n20997 24842\n13292 84803\n6312 79206\n349 75736\n18536 96576\n2051 30891\n23272 33124\n19941 56441\n25260 72311\n57759 62484\n36691 56462\n8053 80744\n19751 43193\n44898 53962\n17595 51846\n46961 81234\n13163 46816\n31582 38537\n10682 79977\n14197 66260\n5583 33910\n31123 79836\n47518 84419\n51389 86227\n2544 15446\n6177 43454\n67027 78900\n5155 29697\n58417 90541\n47689 70728\n16266 73293\n7849 81172\n88418 89524\n71229 84275\n27912 94255\n25429 31292\n23458 25018\n51681 95522\n25739 32122\n35197 75007\n25961 91581\n52790 84080\n32536 60858\n17603 51220\n2430 23172\n1673 47474\n40039 73137\n75378 75637\n5739 65350\n52427 61326\n9456 65849\n41657 76142\n27521 58884\n30649 33279\n67890 94089\n21865 45228\n20468 63127\n48792 56313\n36655 56060\n61765 98542\n2696 83874\n2220 61721\n12896 89091\n41776 81022\n33203 75097\n5285 25486\n41064 60209\n1470 79115\n31899 79308\n9813 98215\n36101 61722\n28067 91338\n8591 91054\n76955 94369\n25777 45013\n37348 63755\n35491 49629\n15027 99520\n7267 47402\n59822 99215\n36189 91575\n22362 47604\n7242 23667\n42893 88625\n22842 80939\n82270 88022\n846 57306\n29978 85455\n28867 84206\n62649 82583\n42057 66955\n60719 74464\n20504 66031\n11470 45539\n25527 85894\n37537 57874\n66828 91667\n61672 70719\n74089 97313\n68797 98520\n47068 53581\n9832 42358\n12646 76952\n28565 97909\n81294 83902\n74028 99479\n71503 80463\n39685 61871\n76632 92359\n3317 92772\n75804 98974\n30128 59920\n41809 64138\n67756 96620\n66985 93876\n90014 94705\n29324 67068\n22664 28796\n28826 81862\n47080 86395\n47783 89096\n80614 82342\n78572 84585\n42831 96247\n19383 43968\n33141 49932\n49967 96014\n47859 72495\n4565 44257\n10834 59529\n9843 50297\n19785 93378\n78760 88060\n24067 77734\n53443 89726\n24730 71413\n41258 51695\n49403 78541\n2585 17556\n17436 87557\n19588 66734\n12376 87201\n13193 66274\n35563 89872\n78653 85879\n33282 95867\n38359 55883\n81278 88598\n7760 24189\n63788 74114\n4821 64123\n41907 74016\n14981 96332\n15577 38400\n15229 95894\n16175 20782\n10550 74545\n63607 82528\n13395 80652\n10647 92869\n5460 45048\n18613 59144\n75627 79747\n52646 66035\n7762 43741\n62958 80226\n80164 89619\n26015 70964\n58444 75478\n30744 56197\n9646 99350\n32380 92393\n29516 40919\n12753 25857\n28544 88935\n26643 67494\n6835 80745\n20852 77279\n12621 74601\n20714 85410\n60129 69760\n2310 21397\n7415 10123\n22985 98098\n44370 92430\n38214 98493\n55036 71111\n28621 60372\n15760 87981\n23579 49490\n32113 68528\n1017 80258\n36952 42682\n17704 80112\n19415 60907\n1759 92607\n53605 53612\n75827 76185\n18450 88024\n59914 83184\n46024 47052\n49732 73700\n47208 67720\n2387 90824\n55037 88859\n44851 91185\n32642 91053\n55232 86718\n41310 57546\n25459 54892\n34207 63486\n10069 98147\n48168 76079\n15270 19638\n35982 99043\n84665 94924\n64174 70575\n34034 46459\n20216 97101\n915 73546\n54304 64099\n19953 68115\n4566 38635\n51266 68549\n7103 50621\n22692 91110\n12022 23785\n61129 61295\n9993 14366\n44296 64858\n31870 66653\n60738 81794\n40191 95563\n42531 65794\n38919 53193\n16927 40788\n22679 23474\n18549 65392\n60153 86425\n34932 89885\n81623 93896\n18457 31925\n39752 59496\n52314 52765\n31401 34374\n39854 84263\n4761 93467\n3296 70733\n49634 56160\n71829 86623\n35493 76212\n70327 72498\n22672 97066\n52489 94814\n18549 89807\n16159 95389\n6942 87827\n4223 78821\n26289 26844\n50951 62682\n15242 31313\n316 21460\n19614 45480\n43930 61407\n32605 84489\n46485 89308\n4224 26993\n22219 74384\n6410 72062\n7151 17212\n42330 51416\n5126 29098\n21978 86455\n29649 73006\n54192 86827\n71161 92192\n6176 57928\n5962 78395\n47048 68849\n50964 80233\n28938 49347\n41069 77947\n7968 90499\n88872 95752\n5195 47052\n70603 74159\n20406 41893\n28362 91885\n25600 83840\n45949 66428\n20717 93537\n32577 66049\n25265 45957\n69659 91125\n37990 59712\n14208 66397\n68921 85197\n1956 37388\n9397 93784\n14056 51639\n18420 58322\n58192 64513\n23616 44649\n6780 21911\n3303 40293\n39976 92726\n27313 54443\n63984 79755\n50963 63978\n39874 95024\n12505 40155\n12178 25598\n18244 21971\n24107 99789\n17661 80256\n9245 22561\n19690 53480\n4546 72413\n29558 64853\n72747 75341\n17863 27686\n83743 99401\n10877 22568\n30797 94957\n15898 58552\n69747 73991\n2422 8523\n13482 88810\n24936 63880\n16109 99870\n44770 99152\n8826 79217\n38163 72738\n62475 94025\n13121 75914\n86283 99170\n86266 89413\n25216 26055\n38613 56786\n18005 43406\n63345 66336\n31144 67566\n1490 70446\n75501 81882\n20212 43382\n14691 28489\n52159 83709\n39630 79471\n61138 96658\n4279 15873\n417 73463\n323 97846\n61611 77639\n4091 16878\n17920 55518\n16067 85630\n3603 37028\n3110 86952\n8150 52366\n43557 59814\n33379 61745\n17185 98734\n24287 84178\n25940 54550\n2178 86085\n2726 10559\n3430 43888\n46717 86257\n27521 29036\n65874 88105\n90715 94803\n16586 76869\n3789 57800\n28919 77353\n32626 77882\n718 71074\n54214 79072\n40210 54330\n13545 73677\n234 81353\n67140 68150\n9738 88980\n9447 68446\n32743 93798\n13328 42899\n52098 54272\n46203 74742\n58310 62793\n13503 31146\n64639 77625\n51161 95519\n8210 98376\n40457 72413\n46236 88003\n67409 93236\n4766 49546\n67667 85044\n28926 29277\n73084 96479\n60527 83769\n57635 63629\n21612 91786\n55982 67253\n85947 88186\n65926 66667\n4298 71020\n30089 98814\n15042 70476\n31845 81049\n60325 85035\n28815 98287\n12772 57977\n11446 89126\n36812 66336\n77039 89628\n5990 43264\n834 93735\n44577 60974\n39050 76988\n24664 58034\n31314 55662\n49952 91621\n30873 58050\n42785 45434\n27428 37644\n8022 94875\n84409 97133\n22526 70683\n25019 42092\n31169 62509\n22414 83250\n65757 82375\n34314 99030\n29041 77696\n9286 25317\n3461 75479\n48524 59411\n3488 87410\n29706 51992\n15065 75176\n42759 94646\n58740 86413\n1445 92562\n34756 91905\n14774 15280\n6125 8902\n92586 97408\n41039 90427\n42573 71651\n83186 83430\n57418 79775\n51282 93705\n7079 67554\n47583 57324\n75834 88819\n16360 58005\n7097 55798\n11106 43625\n11187 98685\n5597 97600\n51062 85695\n6799 30175\n31385 41316\n39229 58521\n6117 45228\n50049 61096\n22903 35023\n48245 68242\n8526 59320\n41366 98786\n24769 41238\n24418 75702\n51397 68623\n39709 47239\n29849 41399\n42971 78879\n48038 92752\n49279 51677\n35420 84746\n19989 89199\n57939 89652\n1121 97539\n59440 80277\n41981 52510\n34768 76207\n26407 36843\n44070 68565\n43290 66611\n39208 52973\n32270 81928\n49981 84145\n26436 79068\n14451 58437\n10894 63737\n22041 56711\n21874 86102\n24102 70859\n43206 83891\n36741 46898\n4348 59975\n18086 82321\n20040 96398\n8136 18194\n32271 45488\n30077 39066\n14424 61557\n13968 95434\n70281 79980\n977 38039\n55061 68203\n35231 93403\n8880 41763\n50949 68177\n65442 70555\n15852 80062\n44493 85860\n42370 58131\n39327 59008\n72565 94763\n35853 96306\n91056 93727\n6532 51850\n7934 58434\n53153 60324\n82359 88628\n91789 91941\n36079 77089\n856 78718\n33218 96112\n289 45564\n30407 36994\n14953 44623\n38912 96561\n49540 67833\n76643 85732\n3058 65158\n18657 41121\n34282 96370\n24164 44376\n40242 80320\n2047 2604\n42838 45891\n21635 94429\n5885 75052\n21128 63559\n43753 84617\n37579 44028\n43608 62802\n66878 68042\n12480 98708\n16273 41017\n38078 40268\n59064 71610\n4248 39585\n40966 96983\n5622 98692\n25680 44543\n27819 81019\n21494 35637\n21749 28682\n27689 71944\n11098 91851\n12984 15103\n54095 74726\n18407 25830\n11299 69650\n11431 57147\n39428 75820\n28367 64865\n5491 96464\n50645 71143\n1660 89828\n5563 26099\n80377 99237\n2429 38621\n23559 27176\n38584 84696\n18144 20488\n20997 83531\n13052 30948\n39331 52773\n4859 18926\n54340 59692\n33149 63213\n1651 18742\n80662 83108\n70653 89241\n10183 20263\n51763 77738\n6192 11294\n3840 8378\n37189 74213\n14990 37434\n28676 91787\n24899 91557\n56050 76452\n62852 83063\n6422 17567\n7525 10829\n66611 97841\n39014 89245\n37068 91661\n17190 72522\n17787 77280\n35855 59425\n15363 27839\n17034 45602\n18521 83087\n6234 79154\n3406 51181\n4880 6498\n64465 69374\n15756 85715\n71374 74434\n41592 44455\n31042 92644\n83471 85702\n89429 93898\n69933 85632\n25631 39785\n43794 61584\n38257 43883\n9297 70019\n25052 42076\n31700 79263\n66233 73387\n15505 90091\n48617 98218\n63796 87010\n193 5098\n39395 78400\n15151 78484\n53498 90219\n55599 62741\n28420 34089\n24027 47259\n38739 43140\n8912 88090\n26248 91727\n22542 54801\n24246 26218\n86192 87813\n6046 73726\n29053 29891\n2655 2843\n2831 96056\n65363 79078\n11452 37970\n22328 90226\n85303 99006\n2684 98389\n57218 57390\n66237 91855\n47576 98737\n28460 28527\n14608 93273\n10375 32747\n67368 89412\n45788 58058\n34422 97343\n80831 89642\n8567 19320\n19465 76357\n23383 70950\n8498 75734\n12370 52921\n629 64914\n4177 98746\n4979 27736\n43577 90606\n41439 67394\n69166 95328\n2362 83608\n17042 84146\n54444 80797\n21523 96251\n21888 95234\n38532 85381\n13501 74339\n61167 80410\n37617 83431\n24345 40117\n75630 95002\n60779 88304\n92432 96180\n14666 27959\n3790 91400\n41402 76230\n55068 94566\n10705 63248\n85136 86162\n12140 68949\n25816 29994\n3393 99941\n17719 87316\n65193 99052\n41945 45738\n22408 93899\n24035 29638\n26490 32425\n30033 45245\n6366 40569\n29706 62920\n55500 68398\n23573 86738\n30818 46267\n42715 57754\n7317 13244\n87279 91614\n49618 99089\n39162 95367\n10912 60460\n2528 29407\n29828 97865\n25409 55478\n43327 45786\n34355 71065\n42146 91846\n80962 85998\n5979 8591\n10090 30270\n7649 29100\n8459 43717\n25579 70300\n39708 62081\n750 63765\n53000 91190\n51856 68252\n2934 44527\n8004 45789\n28104 79050\n45901 69906\n22502 51207\n28953 96678\n29473 82042\n43882 63860\n88242 91237\n11867 50841\n51623 99935\n72674 90505\n31185 57299\n41002 77914\n67170 88151\n57686 89021\n40930 44412\n20629 42163\n38077 75262\n52861 79617\n7052 59460\n46416 80837\n8313 13354\n15973 83891\n41268 73081\n8730 51343\n7978 96496\n13262 39053\n49404 56045\n35935 45686\n58725 82318\n56411 71082\n57508 62453\n76262 80429\n267 81115\n5495 26010\n19693 63764\n1410 13616\n92395 94631\n30490 34474\n31480 35953\n19180 27037\n20630 74616\n15018 68887\n79513 87920\n1612 73952\n11331 89728\n40978 53112\n9467 77041\n21080 82047\n10488 90818\n38288 86468\n45007 48451\n68059 77315\n77518 79372\n9691 77439\n53751 83268\n35913 80273\n22679 34522\n39590 68425\n39467 60092\n19477 96636\n91926 92276\n16350 77507\n1024 75580\n38177 62628\n91279 98437\n18739 36105\n7029 11967\n33094 80690\n12209 94701\n60123 98987\n88872 97897\n5435 6530\n58841 64083\n60830 71735\n400 95000\n43611 47858\n35725 48941\n65068 65972\n44050 67302\n37333 38144\n15336 41974\n32704 32832\n7269 13572\n40421 79259\n45119 86089\n17234 71819\n48081 71763\n57570 76196\n6202 20284\n16924 95760\n18896 41689\n87666 96179\n43313 57980\n34699 39907\n25339 83675\n2115 29455\n42234 50691\n31850 32895\n16002 28592\n27861 85720\n11540 91046\n56511 76956\n34851 84208\n11232 45881\n14628 85873\n41379 60930\n41481 56062\n14338 93428\n71359 97372\n42154 72113\n81271 95475\n18291 77622\n5145 19607\n30035 58334\n63275 94781\n57860 86641\n49478 86413\n32543 99154\n29184 45110\n7626 29048\n63803 77755\n64902 73833\n46407 78054\n6612 22043\n39418 44257\n25019 97024\n962 19655\n28388 85977\n15572 88256\n17716 79928\n43409 87859\n57077 62176\n3837 6613\n20123 60503\n2578 93593\n52174 60160\n24334 28083\n5333 32822\n50800 52033\n25403 76438\n70904 71454\n46065 47794\n47982 57500\n50005 95413\n61647 68927\n2565 93501\n8784 75166\n31780 99346\n13031 26400\n36710 64349\n64172 73626\n57856 78872\n62792 91472\n5047 87818\n8499 98051\n5422 44188\n38873 68205\n6374 69006\n21568 93916\n40840 90035\n72018 82574\n41789 79616\n69371 89922\n88426 97558\n2133 87433\n35955 97553\n7306 61511\n27321 96939\n22432 57101\n5732 43632\n42829 85322\n22530 27597\n23069 86655\n41424 50963\n15879 52529\n863 35288\n26496 66212\n14354 48889\n42563 78654\n13190 17031\n39957 63132\n37308 80905\n1863 76211\n32336 58932\n43586 65622\n2678 21403\n5100 54735\n17584 69282\n18825 26359\n37559 85849\n2023 44780\n883 51748\n8508 81713\n52506 69839\n5253 17116\n44848 52922\n21182 25117\n872 77654\n44702 92786\n38174 69260\n5999 68208\n7535 48494\n77346 81511\n30333 53158\n30379 63161\n4073 5371\n45392 85261\n28579 55012\n7171 17927\n10188 63017\n50945 80104\n14373 45329\n24930 90841\n6443 32261\n5246 40680\n3742 43463\n46127 60291\n42770 63899\n18783 25537\n36846 41179\n10761 61239\n10543 64458\n36805 49974\n37730 44018\n11379 32756\n17019 68860\n40029 80112\n65504 95508\n24143 55996\n10691 69279\n7359 87250\n68589 77605\n20474 43950\n57238 94479\n57632 98826\n12698 15329\n34989 47519\n920 23088\n53562 55077\n25445 33123\n60664 95748\n24425 56724\n3992 80543\n1285 78530\n18727 34606\n14732 42122\n45985 78957\n2595 11881\n1728 5486\n4914 32692\n24271 62368\n67078 96676\n10376 11720\n24343 73687\n12198 75650\n44345 62745\n3121 30788\n2308 33574\n34694 47095\n1972 12215\n46417 49149\n70479 86249\n38384 77401\n5441 70373\n59198 60550\n21591 71861\n75770 89747\n47274 96682\n20023 96897\n22061 46735\n25047 93439\n59759 96220\n25613 25708\n2613 69624\n55255 68360\n50924 54071\n16081 77197\n28511 59173\n19485 40857\n21937 75264\n26667 75254\n28800 89478\n59865 79195\n38210 79135\n11744 80124\n54910 79214\n7892 89693\n55636 57448\n62091 68181\n20153 58663\n5336 48278\n71998 80684\n29408 47696\n71742 88711\n37784 66797\n34088 96573\n92838 95726\n65333 98484\n8891 42452\n18560 36591\n69141 91373\n836 78198\n63031 76927\n26323 34344\n38125 86112\n22791 57101\n36810 50872\n80434 89861\n38161 82660\n8703 15767\n18725 46735\n36263 81968\n12712 81904\n29103 86397\n13918 89043\n49217 96843\n46193 63582\n1097 79928\n56913 57273\n83710 88879\n7076 95655\n38472 96736\n61437 64563\n12223 77026\n31165 40688\n29471 87882\n76833 94740\n16262 72466\n23297 94993\n5243 58059\n28578 82338\n32101 93498\n17109 19787\n7605 98614\n55022 89219\n14142 76557\n52541 96909\n4719 62869\n24552 25485\n80182 91266\n54199 61646\n60325 94927\n28580 84420\n11020 63756\n38794 85758\n6805 53398\n61727 70883\n7327 48721\n72606 85073\n30369 44995\n38598 97257\n58749 82249\n17737 94174\n54227 62477\n65290 82968\n50550 72769\n14658 36886\n11767 80812\n62541 86774\n64963 87653\n22945 58896\n68185 85645\n14683 80435\n76654 86604\n414 41198\n22689 91559\n77810 99068\n41994 61800\n50602 62902\n29739 77652\n2527 58454\n36106 55892\n48325 80518\n33667 77123\n15343 87064\n14105 30306\n3276 18489\n17587 61492\n27308 63713\n45549 52938\n32562 86415\n21920 90673\n22416 44163\n30973 53494\n4747 50843\n19365 21883\n8736 13714\n15879 67477\n2558 76601\n47296 72771\n56060 96685\n67392 97952\n20065 72128\n27916 38119\n8914 25721\n53513 79244\n8503 32110\n6822 23555\n2870 83564\n22492 49011\n7711 72697\n1400 14702\n71193 82401\n26185 54125\n45368 91583\n25507 90485\n33317 73744\n87057 92216\n17360 54434\n23996 80609\n52679 92796\n55244 83392\n2878 7274\n28064 90888\n15373 97845\n22052 29863\n74425 75317\n44866 60822\n61051 72905\n58335 83327\n82673 98153\n19254 77157\n5325 70564\n40359 77897\n62838 64552\n60129 80389\n1309 44550\n48689 86552\n23310 96743\n35164 80161\n25440 39554\n11514 33720\n64337 88115\n86674 92708\n7330 14969\n57430 97870\n1548 11678\n66215 77616\n35277 61608\n56223 67786\n37862 73414\n61430 98586\n7239 43458\n6558 66160\n13160 43460\n52231 62600\n22762 26593\n9524 60358\n80706 87798\n19812 52233\n6854 16343\n9538 80387\n46604 75289\n64892 82872\n6114 78954\n13354 99557\n31299 95289\n12683 64365\n39779 79756\n17301 66434\n35007 63721\n25629 93416\n36852 68612\n45434 66317\n23865 50045\n15582 23976\n8380 91964\n53001 56280\n4400 67247\n8439 63357\n41279 41693\n53223 64109\n28977 38502\n42590 83141\n58496 59678\n19909 60659\n38224 99845\n71034 90018\n82569 90473\n22106 85075\n87556 88602\n62314 96760\n33898 41430\n1045 2137\n1363 82454\n28548 87469\n69323 82206\n3604 83626\n8788 69564\n50852 60516\n2806 55929\n68604 95392\n2117 98084\n44710 87981\n15050 97341\n13147 91816\n15317 21387\n6158 94891\n37212 66476\n21939 43927\n82 83554\n32658 85178\n29335 97157\n25910 37289\n9974 56094\n36792 52049\n2673 45158\n73796 80334\n50297 62960\n8796 71451\n13666 14054\n7954 50893\n539 95371\n71099 88827\n1380 11490\n37471 89334\n4586 26749\n31122 39012\n30531 98226\n19517 66931\n43253 85360\n20887 77071\n11248 46361\n42473 48780\n32552 49240\n50170 60448\n79513 92584\n1665 25887\n97482 98730\n22240 81578\n58972 79271\n42142 90143\n20648 53708\n3749 19990\n17258 62287\n8660 69325\n24009 86509\n21296 66379\n34117 37139\n23603 45797\n51376 75328\n47069 55945\n12505 25336\n489 81600\n6970 72659\n16262 95818\n13199 98896\n394 37172\n72591 86162\n18196 41198\n47337 99738\n79261 88460\n42452 68380\n52154 56150\n42629 69934\n15581 93582\n23759 50065\n25514 41924\n19158 77362\n19186 44661\n35423 74389\n51395 64360\n32457 43973\n40640 45176\n82985 93635\n3471 31077\n9420 90849\n17163 44276\n7632 46915\n18525 22035\n22150 30859\n53142 55332\n86121 94108\n18190 33550\n47966 82491\n24513 62468\n58602 69774\n96977 99588\n35154 37016\n82166 93812\n6065 7882\n17660 45894\n56845 58271\n30787 51384\n10463 63716\n9928 43623\n23484 57445\n64998 86297\n65667 86764\n18512 28004\n7368 71443\n33421 68877\n72269 91189\n25549 88391\n27874 98257\n18517 80337\n5434 55758\n74699 81731\n8340 63447\n44347 62648\n6538 67685\n26893 56509\n75022 97373\n1312 92183\n19844 21011\n2000 29391\n52624 87598\n13910 76010\n24804 92657\n13400 48285\n47780 57387\n28864 29223\n8109 40834\n82663 83263\n22630 37158\n41840 76493\n46374 78054\n37424 57495\n75724 79062\n31381 97759\n42978 58776\n53385 96296\n21947 44199\n12556 51273\n8355 71034\n55250 57815\n40254 70445\n59614 89500\n33171 80255\n66353 70312\n31573 96072\n42214 94661\n91269 96630\n6335 36145\n33156 40024\n40537 62323\n49885 83939\n9387 99955\n4271 18863\n908 80686\n8674 44870\n22145 64818\n88716 96952\n75404 94805\n52243 80394\n1253 53278\n990 50796\n7955 52016\n55458 85173\n23612 75236\n72477 96640\n81692 92783\n9264 80574\n68584 71854\n66686 87977\n3442 60044\n32048 45221\n92241 94459\n39754 91481\n49829 74487\n22894 29434\n59313 61261\n21577 97511\n27861 34737\n3587 50931\n58164 68310\n88712 91591\n23240 35193\n70277 83772\n57801 77460\n73393 92433\n12875 63238\n45258 69909\n21842 96463\n11087 58468\n90258 91355\n19558 62084\n29491 70106\n41531 85922\n35811 55518\n38819 65094\n34759 50438\n52998 97310\n1677 71593\n2905 75957\n11074 52410\n4124 17159\n1121 83741\n89349 94746\n8869 79560\n17126 76550\n3845 66638\n23567 40591\n5630 67476\n26152 95144\n29416 54671\n60068 99312\n4166 8219\n9505 13436\n24752 76886\n34463 59977\n90057 97527\n43709 52794\n56653 67982\n28646 71921\n47720 99100\n54555 88179\n14064 73475\n76617 93161\n47919 75549\n56755 85263\n52837 79016\n20700 82392\n4927 16897\n93098 93110\n81832 96084\n81980 82912\n40141 63493\n22681 65670\n24325 30203\n3515 82359\n57639 80142\n62478 70021\n32656 33585\n17211 87951\n20612 28431\n15334 29520\n13650 78548\n32611 43557\n33601 46675\n23758 77390\n12727 33118\n6467 35960\n26060 83201\n6020 27986\n45539 68696\n3758 33779\n23463 53610\n48179 60034\n87594 97005\n54606 66207\n10920 97743\n11182 12209\n9241 92865\n1248 33723\n57001 96003\n46194 87000\n93789 98619\n35496 99023\n11469 41760\n75645 81250\n38039 48771\n6373 98562\n10567 50749\n40284 87272\n10521 17186\n54616 60948\n66867 74245\n7489 98266\n57402 70362\n70735 91026\n24056 86917\n5928 40318\n3122 15816\n49979 65476\n20985 99295\n8920 18960\n22696 76142\n6248 89979\n38068 38781\n5314 21015\n2929 73541\n69380 76692\n16958 19260\n38364 44071\n64647 75316\n15082 61797\n46332 89001\n5417 77941\n31394 97521\n28640 37119\n53754 88146\n35394 76558\n46280 77959\n89256 98070\n6181 31598\n26884 94419\n21754 67384\n28394 65147\n13939 34833\n45396 54159\n94891 96772\n5028 85143\n57109 59426\n35540 55037\n10204 88784\n3203 45070\n34334 41112\n35210 81971\n63735 68192\n595 1463\n18720 26089\n41543 43576\n20873 60710\n16281 78801\n58444 81776\n13819 49287\n30520 79777\n6340 48711\n17754 73922\n34678 51702\n54112 86741\n46434 99364\n30631 88692\n16459 65309\n9760 69223\n35612 50083\n39423 88707\n24936 80926\n4632 37665\n26192 92191\n16828 75073\n36051 80822\n21742 44893\n5807 45312\n13077 72674\n24072 55832\n20438 47947\n9047 42561\n215 83417\n51573 56717\n5385 67734\n3907 61725\n21190 70781\n57542 75194\n43157 74561\n43378 65052\n2043 77007\n27459 81789\n2199 77997\n16921 79206\n15831 73401\n66258 97939\n73073 99884\n62040 70952\n5029 5469\n4066 36725\n32938 68612\n53675 60230\n31724 49687\n50982 84637\n14017 27086\n14456 50709\n54961 75996\n26398 50634\n33370 64912\n20889 69346\n2318 86277\n13013 68800\n38401 66145\n66725 93784\n44939 83654\n33136 40702\n49860 92836\n7736 94187\n53361 59378\n69259 74265\n70295 93858\n24297 62427\n75335 98513\n39630 85727\n27585 39970\n15973 17075\n63167 93212\n47140 52882\n83320 95033\n29972 42452\n10069 83246\n503 62224\n65925 90782\n31032 77191\n15538 60228\n10537 77082\n12206 58130\n69891 99469\n39618 63099\n79894 84601\n2729 88071\n45155 54892\n146 22143\n46605 70954\n65907 68757\n26875 42237\n73201 95949\n45719 78849\n81543 84691\n53018 85634\n10722 52711\n21267 68556\n32680 97064\n84399 97258\n38898 82436\n3881 65959\n23919 83118\n13075 84363\n12584 53144\n45370 77066\n19147 71289\n16832 53027\n31776 91450\n32826 69270\n64940 84389\n1584 93624\n10869 82216\n42190 91466\n19889 49211\n27756 68127\n12627 93718\n56074 82234\n19892 39949\n74598 96174\n30511 85630\n6682 53019\n8189 18341\n4708 11765\n18045 62051\n31537 75225\n22272 82457\n12877 73192\n11908 28837\n35110 60732\n3179 65089\n69507 82446\n67448 92665\n26318 32698\n50380 51426\n78977 82637\n66905 76916\n53947 68635\n21119 53318\n16928 51575\n9698 97650\n31931 67360\n2738 37060\n52811 99469\n67163 69607\n40574 54371\n53853 55078\n18623 84500\n35869 63474\n8606 28364\n27770 70890\n22939 44656\n76335 94644\n22927 80094\n24989 51801\n60819 81989\n8445 15987\n53176 64812\n18638 54417\n5124 84850\n47839 54683\n9862 62553\n65060 74921\n11457 63005\n7855 94075\n82809 85448\n17638 57082\n20300 78696\n27927 80458\n9256 53516\n65383 93005\n16322 61460\n49131 51891\n30400 87088\n52923 97914\n7644 68193\n3047 10121\n74040 85679\n63101 65482\n21769 43692\n26509 30914\n13002 67386\n3788 47309\n48376 96960\n38514 52524\n4450 72414\n44706 64431\n15687 35626\n75257 81027\n2527 27599\n11754 58256\n55262 93729\n32780 53874\n64018 70670\n13855 65722\n15521 41274\n59193 85292\n3376 94514\n26909 82594\n27208 99417\n58027 85646\n19755 58790\n30245 45665\n10508 80961\n23544 26783\n63274 63515\n6068 77852\n65110 75895\n22729 73101\n3955 40413\n38859 77588\n30922 89153\n15580 20876\n15957 73812\n14286 87985\n44006 69050\n63433 70728\n86793 87709\n65773 82790\n37396 85854\n2044 11302\n14753 63504\n38506 46912\n32955 95827\n35982 73496\n17972 89300\n65523 82834\n40498 84789\n2330 67343\n26172 27554\n43526 55231\n737 38096\n67510 90775\n5984 76841\n58667 92163\n7690 27707\n20239 85774\n21588 63992\n36495 53625\n14054 98632\n13597 94330\n20144 92436\n32935 52935\n55934 70621\n5810 27414\n25834 51322\n50570 59100\n60857 72335\n61911 73368\n61526 79036\n43483 95264\n38920 61819\n3731 12360\n42293 79929\n22560 50379\n36960 56400\n8753 72964\n38372 91560\n49499 79151\n8226 60452\n44159 94628\n22137 36303\n23355 81868\n54208 86525\n42817 83367\n49992 79257\n15038 53577\n24644 32841\n29868 37973\n36175 73883\n24030 88483\n39975 81427\n28085 61358\n29294 50663\n3986 20722\n9123 99095\n46417 69566\n81134 95562\n18015 42160\n24099 28470\n823 24701\n36892 98149\n10982 85691\n61962 66037\n29192 37407\n22034 80911\n44511 74098\n78360 99427\n56954 68125\n32635 99953\n32086 90718\n51345 81789\n13991 96169\n3822 32362\n36909 83038\n11634 74846\n56779 61994\n4492 92963\n20663 94326\n69740 97652\n43664 74167\n24548 84761\n20908 73073\n41047 46554\n14289 82228\n37179 86619\n24031 96177\n1270 45980\n33064 65148\n53604 61442\n26999 87397\n58111 80084\n72557 99737\n86410 94381\n18194 88414\n60492 82263\n51957 52900\n92246 95824\n68314 84421\n27400 76098\n18060 70045\n1915 86085\n53252 61506\n6179 26302\n1594 49556\n36663 73959\n56798 79056\n77996 98185\n40975 97544\n814 2357\n28617 63667\n43603 44669\n26299 66271\n39147 72531\n85053 89976\n21115 94101\n45867 76398\n57471 89815\n38783 77102\n6477 63013\n5340 43874\n45853 55887\n58318 83161\n43077 70741\n53576 54740\n46160 47187\n14492 97387\n35222 87957\n12429 64680\n51900 86863\n14862 61335\n23977 47212\n78673 82255\n7441 27335\n55596 76259\n2905 38885\n73856 87272\n4641 47553\n66290 90509\n33118 70232\n78091 97160\n25043 95457\n43408 44230\n54985 81358\n82521 84066\n81882 94279\n65433 72178\n23024 88586\n71529 77736\n28069 90548\n511 68835\n576 28372\n12916 37204\n4111 89627\n27191 88539\n21034 57831\n13440 92768\n86175 90663\n10447 35812\n45457 71087\n31964 47004\n25623 52416\n31706 54431\n76 60663\n11842 23076\n63459 67204\n12525 62489\n25795 50610\n56061 96240\n32558 94505\n4498 91601\n82849 94903\n10137 39237\n51467 63053\n71161 79696\n21676 65264\n5962 45176\n13595 64147\n29981 82592\n31532 43379\n26720 45765\n13706 26962\n49495 95067\n64162 78711\n13835 23971\n35581 54169\n88395 92880\n21596 46624\n28009 44614\n34192 79729\n16923 42133\n7831 71736\n21481 89637\n38519 44873\n13500 73049\n44612 52050\n14279 15246\n26511 66736\n17771 33872\n8191 93032\n57367 96859\n45258 52805\n22464 63744\n2924 41123\n30395 73075\n83561 89705\n59712 61596\n44779 72463\n8332 72478\n37076 87207\n28474 32218\n12790 95992\n51700 75997\n45203 52686\n1905 30041\n43080 43351\n47339 96735\n11317 11318\n65456 68529\n48618 62523\n77035 90128\n28949 52318\n70938 85725\n12175 87640\n67451 69898\n3503 11958\n14764 72179\n33450 64563\n71291 91490\n19562 99753\n11560 19680\n13761 21817\n35029 39719\n47569 65874\n90001 94125\n34986 87922\n23037 85244\n52434 63985\n16808 94054\n1703 9054\n15812 76866\n4061 52787\n17977 91407\n49110 71567\n11949 32643\n6699 26500\n12553 99146\n21105 68524\n9743 38536\n34435 36627\n29029 65666\n32085 88760\n49997 96958\n95176 95909\n61119 75341\n57061 94346\n49639 81812\n11224 26200\n82517 89646\n15568 32076\n31640 55991\n35339 39151\n43321 55307\n4353 81116\n84296 97197\n51233 64755\n27612 56599\n48873 60041\n18513 85909\n24581 77203\n27590 74262\n15244 67129\n65850 88565\n61569 70198\n48406 82568\n51630 76140\n255 44798\n45541 64193\n61238 68891\n39674 46071\n39009 77261\n67232 97243\n14804 61682\n59346 97944\n29062 52912\n37713 91954\n8686 77262\n16699 82997\n5643 28380\n68027 68384\n56007 85571\n5299 18409\n9011 25314\n54542 76058\n73354 85869\n47959 98791\n79766 93768\n78279 98952\n6166 25428\n90026 91694\n2331 84735\n74754 90577\n30199 46505\n80957 85097\n29920 69698\n56407 74831\n12427 71464\n3608 11556\n31814 92383\n47565 98712\n16920 30149\n32822 42478\n64942 77367\n13070 22933\n23291 38088\n18828 76732\n9992 44344\n52741 68735\n47813 77771\n39408 77137\n2741 7050\n37524 37599\n42483 61732\n19101 94408\n9547 44397\n37187 56856\n60761 68906\n7300 16558\n17424 64488\n12315 83488\n46876 64651\n16257 18274\n51338 56208\n38117 50224\n28941 43101\n35293 41330\n63710 97804\n23031 72610\n54989 97413\n21921 60729\n44942 88348\n8415 77240\n1732 74470\n37458 88219\n66477 67918\n58482 61426\n2326 21697\n15766 30620\n33919 80756\n22093 65592\n10803 13522\n25754 87261\n181 29818\n9148 48945\n54712 75735\n58442 85672\n29811 38687\n34532 35786\n8835 23795\n474 46892\n9863 47957\n2941 96335\n14410 48495\n8111 97808\n37357 64157\n633 47312\n14486 32556\n63289 81738\n17582 83976\n22149 36789\n2134 63154\n10069 78529\n71274 76878\n31724 62617\n4388 21512\n2582 2633\n50032 97472\n10228 31128\n19304 85813\n36741 76094\n11985 60491\n59015 93632\n65809 81309\n38728 48905\n48615 48815\n52629 79906\n17313 99759\n34464 47746\n9167 78593\n53031 83199\n48956 97878\n798 42469\n55119 62668\n13119 97690\n58668 74263\n11087 28450\n12867 85964\n37103 48582\n52776 99852\n24083 77927\n9267 49359\n6425 17427\n65468 98616\n26257 90588\n22305 76629\n41938 88600\n84719 96524\n50285 72463\n68767 76557\n6284 67090\n62670 75946\n8047 28215\n29832 96607\n38587 77987\n30585 64693\n70773 78763\n29295 92055\n37920 78099\n54769 66256\n37616 86399\n62739 86649\n18986 84508\n4224 68436\n46138 90312\n1231 27551\n73884 96271\n64368 73134\n7819 78478\n9813 43485\n75545 92009\n25291 25626\n64609 80575\n52771 57472\n30118 96472\n43753 99804\n49045 61270\n2773 77009\n34107 56471\n6587 68944\n2832 21512\n33153 55040\n64262 74543\n89089 91879\n24219 34716\n44686 70593\n32683 47186\n30306 99939\n13309 20593\n42999 74109\n29354 95937\n26819 98878\n80561 89497\n12650 13806\n70530 97710\n34403 77640\n41055 88963\n8307 16394\n65913 92125\n75545 87777\n27049 88706\n34119 52611\n14295 19360\n56481 61629\n8805 65139\n26333 29339\n12952 50089\n91973 92080\n14583 74386\n28482 87883\n24604 36070\n75079 77325\n74525 98347\n32619 79979\n35672 40765\n18150 25027\n76986 96882\n16882 21537\n36497 98929\n37137 54566\n8118 26989\n41403 60845\n273 61765\n4503 37627\n12111 56957\n40660 68983\n12439 16121\n33726 54052\n25937 34534\n58972 63385\n10270 68593\n54367 94823\n22954 97507\n1053 27801\n8927 14645\n49898 79952\n64901 84728\n4460 59772\n63594 86042\n18988 79314\n13747 71978\n13464 28686\n62049 94450\n21314 21602\n23973 78994\n21664 83461\n36566 38770\n41589 99332\n13414 48545\n46246 71883\n28597 71077\n29442 41645\n33405 56110\n90881 97119\n65993 74995\n3249 8688\n30733 71488\n18214 89982\n5474 93968\n21725 45827\n61169 85574\n17684 19821\n50196 70046\n22980 99697\n29618 54680\n80036 92561\n48766 88878\n21996 53828\n17902 78536\n37480 47689\n30182 56402\n13360 48407\n12732 77650\n51099 53849\n3704 4331\n35989 78218\n68931 89876\n27093 27320\n55783 90447\n26983 66910\n65708 96184\n30591 95716\n58045 61670\n36111 62096\n19887 80817\n5108 67847\n22303 59605\n30648 51352\n60656 96456\n69868 92316\n12923 32180\n21172 53597\n26165 39208\n13425 83227\n22878 39452\n64186 67180\n11437 74027\n74628 86669\n83347 95015\n55534 98448\n868 68138\n46373 70700\n24699 89867\n8024 30100\n29403 34094\n81261 99110\n31550 32505\n24050 57673\n51696 94934\n68313 74212\n7422 95247\n12427 60842\n19388 29412\n24558 69320\n41445 96762\n63965 73921\n42244 95797\n12922 92430\n58155 62183\n53959 89407\n45502 54654\n4344 13754\n48190 71159\n26636 30563\n62439 68650\n57111 93064\n47987 60646\n9796 46090\n15587 53686\n70827 76819\n12365 96010\n64612 74621\n21099 76043\n5222 74065\n21216 23164\n33105 96612\n13534 92136\n36271 66342\n31178 62284\n9147 45262\n6211 62555\n37955 58133\n40666 58198\n50251 93903\n73574 97870\n46456 78383\n91826 96248\n3765 57723\n1421 11956\n15819 32779\n71640 85872\n77691 80270\n5175 31579\n33914 89598\n42943 99921\n1895 16145\n72696 96218\n34399 85723\n5389 24072\n43757 86103\n7581 21514\n16737 86759\n53633 70979\n22331 58227\n27372 94907\n34159 39280\n99261 99952\n26793 80293\n67948 78017\n41441 50878\n25815 26512\n46612 92727\n26774 32617\n63355 72454\n1889 2651\n43430 99954\n44709 97500\n51236 81177\n10252 26435\n33467 33803\n42568 93535\n42328 98966\n43323 46336\n6874 33518\n28096 63371\n13005 61003\n53196 73675\n41690 58155\n52961 74719\n59175 63777\n12157 70661\n52819 88316\n48682 89086\n860 25372\n14175 79273\n1866 50668\n38783 64733\n9598 87706\n31884 90954\n75436 93831\n46152 73949\n13524 42946\n12183 69754\n13201 85372\n42135 99917\n49439 65724\n13715 46700\n61836 68892\n35181 65107\n54050 74848\n48941 70464\n76719 86395\n3274 15790\n26192 69901\n38602 74351\n13552 32097\n15710 25547\n27323 50661\n13605 76873\n49323 96363\n15282 69929\n43915 76531\n40303 60050\n5999 35436\n36616 42757\n40713 73636\n55401 90863\n13380 82137\n40101 81524\n3964 92744\n5867 28003\n87019 99008\n13501 58756\n56123 71214\n19191 75995\n21123 31336\n52543 85531\n12243 12321\n24344 61022\n29321 69348\n78779 79150\n27887 78008\n201 66092\n51 17638\n23541 26573\n57711 98752\n24228 61193\n81477 95392\n85044 86423\n13544 71331\n12839 62277\n50515 87203\n13615 48137\n40534 53161\n52473 96290\n24502 40647\n43386 99440\n36390 39516\n63685 94770\n8308 21409\n20318 47687\n57474 62632\n48904 62220\n35207 37898\n76181 87758\n19450 93034\n56254 71626\n36559 39144\n47758 82479\n19255 59815\n31904 60202\n16670 25530\n8292 50054\n20673 25023\n21329 94243\n24581 64128\n48596 77797\n16944 96857\n2260 96740\n10643 26786\n59216 97837\n6389 68373\n53567 85253\n78758 85856\n6046 23635\n3986 78263\n80919 94896\n1841 51220\n13952 40753\n50769 97862\n20476 53173\n14930 65417\n7791 37934\n31349 66251\n21147 28949\n63525 84114\n6558 33242\n45246 82514\n5554 19033\n12936 84035\n73349 89942\n69125 87429\n16836 87190\n27201 57264\n21727 58672\n44380 46026\n2009 12834\n11174 28691\n14995 17637\n688 88535\n6687 54118\n23612 73487\n1159 62848\n31577 54657\n21550 52747\n95902 98242\n4331 53035\n86440 86475\n76374 86703\n4920 83814\n44086 67566\n58639 91770\n93818 94543\n63682 70874\n6714 73207\n59590 96973\n69353 89398\n10878 88363\n22468 83643\n37905 59724\n2346 97866\n59067 85393\n26485 88086\n1248 44247\n34063 39494\n25277 65799\n11042 90237\n15690 58670\n43041 47338\n24127 33729\n39117 82613\n61110 98503\n85192 97576\n37539 96286\n52742 99798\n1608 70013\n17325 95054\n6640 66278\n18978 25748\n6576 94194\n18173 83334\n20978 54446\n64224 71154\n12214 91622\n39427 74782\n73143 85877\n14253 67481\n22204 97502\n14837 75274\n892 63045\n12060 20450\n45871 96357\n7908 45456\n65362 85125\n56563 78610\n27779 77410\n10756 54318\n59865 93603\n16159 57064\n15020 76880\n93478 94661\n86850 87095\n16209 77337\n11483 28397\n3027 23443\n32419 92400\n22667 36502\n38627 95782\n23981 56786\n27901 99327\n50937 52632\n64407 97434\n22440 32741\n22311 60285\n24977 47992\n41580 89969\n4282 58401\n11856 68523\n10724 81900\n7664 11497\n16583 32999\n23107 37083\n57220 68467\n62036 77372\n16928 92136\n10746 51948\n7888 41242\n3754 61205\n29433 31707\n30381 52726\n12746 85465\n17679 26012\n22414 81061\n36766 58400\n19937 48515\n3371 83946\n32166 75697\n21887 38729\n3918 64257\n42895 71206\n55038 94973\n9386 21292\n44268 49588\n74137 91611\n13085 17940\n9807 52832\n33246 77643\n2987 54829\n79019 95622\n12569 80928\n33995 57778\n49429 50734\n9451 72979\n51231 94033\n50939 89054\n60148 89812\n94705 97992\n26805 43096\n8820 12852\n32225 93570\n4065 4626\n16324 55548\n58794 61177\n21440 71784\n43398 91673\n22009 83191\n57885 72014\n28553 86168\n38894 89160\n20676 47157\n276 40580\n45978 57515\n2400 53395\n78814 98279\n68937 74070\n54327 55715\n33862 43958\n34567 40316\n5523 91836\n26501 85979\n17954 71772\n25291 29766\n3902 13922\n38559 93821\n21695 58383\n51809 62960\n41804 56758\n6463 64369\n54970 81114\n11290 62269\n40583 46168\n52580 68740\n33049 67248\n16861 97314\n1770 89285\n54286 90108\n17307 74062\n19015 25682\n66849 77453\n33276 88226\n41083 82978\n7646 96724\n23040 46519\n24495 80337\n48385 68885\n762 51143\n15254 95197\n10982 34268\n31202 40940\n39836 95533\n11230 46768\n3061 61275\n78992 86853\n41033 81994\n10352 29315\n59243 62191\n23526 77978\n48782 84105\n73917 89074\n5373 56010\n9585 65045\n43813 66221\n10066 48616\n43396 90312\n38790 89436\n89025 89181\n3989 5231\n18867 66853\n11377 26050\n36994 53506\n51463 67079\n12995 43611\n13642 32091\n32498 38700\n27651 64952\n72146 91108\n32952 66835\n74559 82619\n3799 26168\n12957 29695\n20806 82165\n9838 44786\n8026 83482\n7211 30070\n1973 29439\n16043 51205\n28105 71451\n12818 74585\n660 91115\n84261 99321\n6439 93705\n33087 75709\n6314 36337\n20271 39201\n29057 43677\n19010 96914\n20315 47809\n3077 55483\n857 58078\n55513 92509\n12624 80401\n14803 65793\n9407 28875\n34853 94495\n37982 68394\n21756 23146\n70863 85232\n55286 92809\n7099 12779\n47317 85983\n76086 90513\n897 71578\n55236 88810\n9158 21159\n39276 62913\n86702 91255\n8011 62776\n41224 48767\n22761 42968\n24189 77399\n53473 82566\n58065 64105\n66193 79371\n58003 85578\n56246 72229\n59028 95706\n53002 64161\n19820 51245\n48042 85651\n38955 41952\n76139 99535\n51130 99637\n79340 89908\n10636 51745\n6938 70198\n50528 92911\n60744 70964\n20014 81984\n409 29132\n6628 81456\n32748 45809\n2903 35061\n3 47133\n35676 50629\n18979 92678\n78092 94456\n57231 69180\n65749 80203\n35301 76407\n10403 33308\n13551 44619\n390 34020\n49919 95001\n68539 84074\n6920 99398\n32442 46482\n8105 72110\n76303 83490\n84300 87629\n2678 64957\n3893 33256\n37210 63245\n423 91099\n52771 71863\n48195 76827\n5552 64276\n58600 99375\n5337 47872\n24088 47428\n7830 58253\n26877 99744\n2953 53688\n54462 89359\n68689 83896\n51710 58678\n18188 65892\n11665 72017\n26021 68397\n32556 58741\n11789 34196\n34330 81726\n43162 97821\n69825 91255\n18861 48030\n11648 26376\n54504 82495\n17701 38579\n40737 63775\n8045 42090\n29649 56140\n8991 83008\n33277 78284\n66471 87721\n55470 98454\n15891 16785\n31294 35205\n68973 75556\n15066 20039\n18608 78961\n68629 73376\n4412 85468\n13876 36069\n30721 61947\n4387 12517\n65150 68228\n41254 54189\n32951 41754\n60900 99879\n39091 76902\n28278 86941\n31848 90249\n72409 76368\n37446 64969\n4734 17959\n986 39939\n51855 59066\n30098 70481\n76045 93289\n44525 90882\n23198 93419\n6085 65596\n63627 64785\n12444 81119\n9906 89387\n4002 73880\n6330 28808\n14467 79448\n36480 53042\n14323 84430\n7448 51647\n46193 59365\n30338 61813\n44003 90551\n27903 88928\n48928 75529\n11443 15470\n45591 50093\n19737 75015\n13365 62700\n39356 49383\n4237 9729\n16176 31064\n3565 9368\n46484 97512\n41291 82228\n19374 41706\n65511 81130\n37568 82195\n13576 47588\n66065 94557\n64732 90209\n15664 56547\n19147 92353\n35274 62359\n1278 53313\n13720 14949\n34530 38862\n4311 7934\n26437 68059\n37409 58573\n49259 70375\n53556 56692\n68756 84668\n31469 85565\n20500 29849\n12972 96163\n18814 45798\n69104 98362\n21245 80976\n46482 80034\n10407 18126\n27499 69479\n53692 72077\n331 61603\n40691 76932\n22596 92020\n29902 81179\n83821 96892\n31142 78172\n70705 71770\n63860 95828\n9177 76124\n14982 86232\n61375 76731\n22373 91545\n14302 25505\n38319 54490\n10312 19416\n4501 27186\n33514 51891\n3736 12520\n6668 18214\n42394 70563\n83730 98649\n22064 58759\n50254 80945\n17124 67624\n23520 77682\n14264 86395\n28125 42927\n22339 22983\n61321 80300\n28146 74948\n36633 73411\n52689 93265\n28237 71740\n29126 79788\n58404 86171\n7585 38075\n5954 8262\n71764 89457\n3349 51528\n53552 73704\n13138 24143\n11747 12461\n33759 54283\n48689 85588\n77369 79098\n33369 54416\n12868 95178\n37716 83507\n14877 87256\n68730 88800\n14544 37624\n3851 98346\n33852 99023\n26797 84563\n4047 36771\n31473 82255\n52305 63715\n25945 27186\n55676 95850\n11057 91992\n63742 65230\n73772 93909\n1898 14205\n74090 97583\n4515 29230\n21731 70308\n7316 12226\n12500 94327\n52908 69086\n64323 86070\n22791 74994\n29905 58148\n1581 83961\n16444 74104\n13003 52674\n4351 13501\n12361 68093\n42474 51780\n44452 66899\n47624 91871\n9019 79249\n16042 90927\n82958 93300\n2166 48559\n54309 96135\n39661 53013\n31231 35214\n38219 64824\n37761 81954\n79687 98018\n22882 57894\n68232 70743\n6935 42371\n40938 86486\n10662 58010\n6554 46621\n47902 79462\n30371 33245\n29860 37340\n85425 88530\n56117 71570\n14034 24308\n62637 98480\n500 92324\n4009 32522\n82177 96274\n21708 90643\n42965 83383\n47837 55863\n45714 97867\n19107 35928\n48748 79095\n1 34656\n31325 85942\n6466 12466\n12935 23980\n1672 97404\n75732 87771\n21723 71015\n9223 68367\n21961 41632\n25484 68951\n10452 43081\n23436 94705\n34616 52631\n65414 67642\n24656 36436\n41561 61398\n13629 58237\n4464 43994\n85488 97902\n40148 66164\n52538 84555\n36313 93860\n90 90346\n52205 91477\n48890 74196\n2776 90595\n79139 90545\n2180 8240\n44940 86949\n44810 69184\n1516 20161\n8645 54542\n38652 42523\n13544 38628\n65616 90650\n54504 96279\n23410 40576\n54615 71338\n46126 89014\n9124 35751\n70805 84339\n157 45226\n55238 69404\n69775 78299\n33913 39429\n51861 62263\n55120 56469\n59346 97710\n51114 66974\n37840 49944\n48816 57183\n56330 76681\n10047 61187\n25580 55711\n46786 65769\n45623 93073\n66145 97402\n28566 73826\n48967 65145\n45548 48448\n79099 96889\n28911 73142\n33001 79955\n10282 41996\n13037 14365\n259 81302\n2636 53162\n40220 49343\n22065 66989\n92187 99313\n92841 95587\n11633 69612\n956 25527\n55955 68888\n34119 95627\n14262 64309\n31747 51529\n56420 80189\n268 11557\n26080 51622\n672 47423\n20672 40941\n13890 28707\n13765 27095\n600 20404\n58016 75441\n7261 10668\n46331 59578\n58170 81172\n55627 78784\n21336 42770\n18069 29077\n20117 54790\n40299 60199\n47277 80176\n13544 92363\n16715 21786\n33004 75126\n4721 11183\n26163 62267\n31091 47642\n6950 55065\n51783 58949\n43851 89364\n32665 81526\n84619 87477\n21133 31544\n20167 74525\n16278 17129\n3594 68097\n15084 43479\n42767 69557\n12210 81418\n15115 19458\n81799 87963\n34370 77216\n6615 11354\n4803 45028\n44624 96848\n54438 85552\n26938 28675\n49464 65468\n83288 98751\n9684 62031\n22149 37679\n74068 99803\n77421 94883\n2346 86494\n24303 70492\n78362 84731\n8936 52008\n81038 91200\n11940 50421\n89584 97243\n44516 90154\n26640 66356\n67814 74478\n31963 42006\n15061 69060\n34650 49367\n11459 83082\n19789 59197\n22513 56411\n3485 38627\n8109 44637\n5779 99074\n85876 95466\n77296 83205\n22401 97097\n4213 86277\n19855 58383\n7623 38404\n62977 63822\n12537 23223\n32419 86534\n33688 41030\n5559 15753\n42211 66645\n27096 65916\n8919 29666\n57155 99880\n58673 70644\n18800 42494\n47954 57900\n13057 56903\n16856 83273\n32811 92227\n28054 84121\n42142 62939\n12200 40122\n2095 54514\n4700 19687\n23781 40538\n27233 64503\n46245 84364\n21992 27745\n54271 63571\n43931 51752\n86452 93251\n55295 92135\n12975 15506\n4605 55723\n70246 92469\n3969 4513\n69442 90814\n49571 88584\n86329 90460\n53977 80039\n5738 12555\n25093 29760\n33888 51480\n54603 89839\n1280 38323\n27067 43181\n4600 84145\n11918 79434\n30764 31552\n10298 86939\n10823 99634\n38838 54338\n3378 90860\n32952 43676\n29802 35788\n47263 85754\n47470 88860\n43104 44198\n32715 37473\n5351 48503\n52706 56539\n53775 82371\n11410 59637\n70627 89174\n4624 75603\n74699 87902\n85210 89860\n42919 70608\n15453 29980\n15481 55592\n22138 73060\n4973 11680\n59642 63881\n6669 18372\n64677 97832\n38392 51176\n11254 71795\n29971 32570\n2581 52323\n29659 61950\n31439 37542\n66185 80850\n42333 56451\n34136 67028\n76799 92315\n27951 70190\n9571 85698\n26510 68864\n55547 83090\n68782 90529\n47758 53034\n47403 86423\n52894 87548\n29044 44627\n80663 93924\n23416 89270\n48665 61681\n27805 75720\n2311 35781\n10628 95457\n49786 79131\n58668 89157\n75643 99717\n23528 90227\n5379 73121\n60496 76106\n44365 97730\n82616 86206\n10250 90083\n83396 87739\n11660 27813\n77798 98126\n18039 30891\n11465 79421\n16893 53704\n67264 96949\n59389 86405\n42107 72208\n92142 93050\n57465 89443\n47121 73760\n9329 57276\n33153 87663\n2079 45244\n69213 70615\n58948 72934\n22657 49552\n14453 94205\n855 44128\n24764 59034\n15318 39586\n23506 60120\n25683 37558\n17359 78297\n43930 96456\n67256 71672\n67542 79011\n73191 96142\n5373 65385\n32729 73872\n53099 58069\n67477 77550\n17847 19392\n50916 61300\n27469 28795\n10502 43338\n66679 97356\n17838 88441\n17317 55896\n73661 85301\n46357 52586\n70103 87746\n55077 82939\n5978 22560\n40418 71738\n12114 42922\n59385 84648\n56403 60031\n16745 90019\n16092 42332\n28697 34289\n23810 78892\n44002 69972\n14165 78534\n6372 68185\n68759 83216\n64187 72718\n55166 87732\n4874 88846\n15093 40733\n71675 86954\n51566 64543\n76345 97395\n13045 97082\n77063 79913\n40761 67416\n790 12563\n58350 68793\n3006 91887\n12187 25570\n155 90542\n23967 70829\n38832 96266\n45080 80875\n9457 18252\n74122 86449\n4957 55603\n41568 86059\n90827 94107\n593 89957\n6399 26356\n8511 45250\n21909 66894\n12078 36035\n11677 59833\n10129 41036\n14608 26547\n25689 37203\n56821 93681\n74935 98742\n4542 61408\n28804 86859\n5599 57150\n64795 93545\n38519 78460\n46218 58614\n32608 50895\n19049 22622\n67307 89940\n46460 73800\n6391 88471\n68408 84622\n256 56801\n29402 75203\n66323 90752\n42933 61669\n9039 12767\n66249 92200\n48033 51151\n25586 70783\n46568 97159\n31509 41849\n13741 46184\n61143 94515\n7208 87717\n4803 41256\n40089 45968\n54215 55887\n38762 47845\n68130 68635\n32690 74567\n25853 40352\n54982 88392\n10412 34592\n15637 93151\n18613 73642\n76420 76850\n48087 73936\n82941 96932\n17708 54933\n1229 38861\n11784 83375\n63791 94684\n11792 50373\n51598 73571\n51342 88835\n1860 41025\n35174 69368\n61927 97403\n44997 95199\n42547 55387\n13651 38911\n40092 78799\n56395 83363\n56898 82858\n13128 98166\n23327 82613\n1892 58051\n410 80705\n1666 89289\n82479 89557\n19482 67197\n21270 73616\n32753 39152\n16373 22147\n6127 24070\n71008 71824\n45982 85959\n39902 64791\n62073 65260\n19467 37719\n11974 46234\n35656 39841\n3434 52016\n18222 97317\n9238 12980\n6454 33521\n30862 66702\n20326 81654\n16804 99319\n57575 82637\n42956 76672\n84844 85503\n40441 59846\n638 59135\n65685 66993\n63609 92213\n13071 44009\n36288 90754\n27842 64778\n80017 80215\n36046 57149\n10740 51553\n25602 59214\n46598 65646\n42672 53939\n13948 64225\n13535 73589\n27050 81992\n63361 68900\n54225 80644\n15057 56357\n16207 57358\n84840 93087\n19821 97484\n51418 73216\n2855 4033\n28442 68762\n53964 97062\n65241 70437\n36738 67569\n11609 95519\n26674 60479\n3894 78111\n45063 84642\n56353 85906\n5252 89852\n71994 89547\n1533 71365\n64230 97153\n22717 72770\n45361 95671\n54091 98753\n39442 75854\n30160 91202\n21963 63963\n12933 76106\n11530 96478\n5793 24522\n29602 83770\n36615 37882\n82897 83492\n39227 93068\n27344 35702\n19795 46075\n445 83139\n2832 43832\n37366 98287\n7816 97861\n36303 53516\n16580 39961\n45293 66191\n1144 84290\n56061 64887\n65832 98965\n41712 77404\n3306 32340\n75025 99367\n91533 93383\n17774 43860\n17522 77685\n27350 77313\n35436 68510\n49216 91287\n77536 93944\n27392 83172\n70217 74075\n3761 91539\n46771 74397\n9340 37368\n23106 75984\n35032 99113\n67936 85885\n33757 46220\n14871 31154\n51387 89396\n501 48796\n23507 26916\n7289 45821\n17035 42021\n21423 85176\n28851 49827\n73532 85694\n79459 87833\n24870 41332\n15740 16715\n21916 62084\n75204 97311\n21912 55109\n18409 69187\n19288 91744\n23802 61657\n1084 66378\n17594 39701\n8078 44525\n21554 29350\n57944 69413\n64455 71691\n4022 41030\n19464 81327\n49604 54288\n28301 28708\n57507 67545\n43483 99669\n7023 29273\n13195 54389\n16566 51257\n4213 60832\n65219 95451\n13478 85576\n23010 65680\n67619 92008\n60114 74096\n27542 78226\n8112 78272\n38250 93962\n40351 97119\n7615 26474\n78928 80687\n14529 69609\n53467 75675\n3350 77022\n54409 90660\n23817 54812\n30998 94166\n20061 95133\n30069 79246\n51735 86148\n25726 38461\n16227 44254\n12611 34837\n51807 70987\n23811 79614\n999 1565\n78981 98104\n36224 49112\n15834 25170\n22763 45018\n83489 85166\n59507 95359\n8036 85660\n36041 72257\n17489 85038\n54082 62823\n76080 99448\n79942 91688\n12812 78441\n32844 75707\n22907 91648\n60548 75990\n12605 42947\n26926 52761\n6890 87338\n49848 53928\n50366 63030\n36517 49337\n3647 37512\n36095 60773\n39904 95836\n50595 59652\n17703 46232\n22760 23020\n19397 76570\n13109 24763\n62294 67051\n26400 97748\n43041 83539\n1619 24534\n10126 56380\n33017 88148\n14568 43933\n22085 99014\n19921 58383\n48032 60958\n65837 68268\n27741 61404\n47750 62670\n28176 69340\n37802 72014\n64778 71224\n17994 50706\n20220 83482\n20069 78919\n44757 98887\n53780 67094\n32701 93892\n90156 98168\n8219 82074\n71133 90537\n43481 56807\n7060 69786\n61843 65566\n19184 58970\n21098 95046\n10777 16827\n74382 81132\n34653 50543\n22276 31982\n20587 43865\n2419 34877\n14341 33715\n6610 73402\n17794 91072\n48333 67496\n30678 96843\n50151 96429\n61926 95637\n44155 88827\n87369 89034\n24695 71950\n80928 90766\n58429 63383\n23731 93527\n14762 56344\n62584 89924\n52687 56466\n26813 51331\n14419 31467\n36572 40285\n2733 48151\n6840 79351\n25668 41302\n26761 79586\n40026 79512\n26397 87717\n36688 88816\n67894 91987\n9553 58642\n10961 67251\n62885 97642\n29515 47101\n19415 48219\n76560 77130\n12802 84445\n3750 45196\n22135 92952\n28559 62926\n59855 80105\n5592 89802\n41964 60487\n12780 99509\n53503 85967\n75936 95790\n255 15687\n23482 33918\n7550 28246\n54359 64083\n41489 79868\n15667 98069\n48468 58045\n49768 95960\n66674 87631\n30001 70997\n12311 68916\n44878 50740\n6575 71653\n9723 39976\n31492 41189\n32009 89671\n26951 44015\n15520 58869\n10581 24712\n54437 89132\n45370 89059\n22893 57507\n24484 28986\n14101 23137\n20762 21874\n38648 49651\n19085 53886\n72040 84527\n23597 61573\n51506 77508\n11138 68775\n18297 51270\n30501 31194\n44579 60296\n57791 72156\n8971 32553\n26999 73899\n2270 37980\n29099 80479\n63121 91989\n18073 62055\n40672 57364\n34356 88927\n3390 17807\n5231 8190\n31114 93197\n5250 24246\n43855 78762\n5979 16330\n62700 75549\n1378 63694\n19363 98019\n20852 84620\n39306 43532\n19535 53521\n16341 29203\n34717 91428\n40862 82464\n5600 94483\n64725 86192\n3114 84575\n28288 45017\n36193 76784\n39494 46990\n91408 92267\n53476 58238\n28952 57763\n63345 72384\n41009 56082\n64040 87426\n56651 58245\n41202 77381\n4672 55193\n39752 68960\n19010 34350\n8482 67347\n3069 6493\n32027 41122\n33370 98254\n20554 59479\n4047 10572\n8569 15579\n42621 97469\n31853 87298\n26012 54239\n39302 87245\n11813 84120\n7631 64379\n45943 83969\n3423 53716\n29899 77975\n57375 99021\n30864 49713\n7800 82029\n11372 64521\n81429 84153\n66908 70418\n25664 61435\n36837 96027\n46544 79514\n19257 45359\n2640 79898\n59298 79520\n18153 43905\n2984 87565\n22079 67360\n19670 31013\n28407 48579\n64402 77756\n49510 65685\n54182 88901\n68853 88713\n40345 69854\n41540 93449\n2450 15658\n54255 84521\n8755 9667\n61580 68532\n67919 92202\n27804 88836\n24032 86693\n12545 52271\n21179 74976\n68747 76324\n13020 66760\n46534 69375\n17362 56823\n57075 67677\n12744 39195\n3406 81371\n52884 64811\n38982 61173\n28166 93854\n62435 72108\n54784 86720\n49779 79008\n52160 68295\n79110 99116\n1422 96311\n56753 63801\n6464 85412\n684 21022\n64379 83903\n33315 34232\n35114 72798\n17858 17901\n50464 95671\n16659 38471\n17808 18230\n19725 89542\n30888 58388\n63130 86010\n62668 72478\n8510 43536\n85549 86874\n17235 69936\n14418 37297\n89012 91297\n17523 22131\n21488 30739\n67767 90330\n33139 63879\n32542 37601\n71204 92232\n30014 34966\n66100 83761\n58466 74411\n7304 93938\n77473 99201\n45074 46485\n67683 74334\n32729 89787\n51542 82548\n9835 31714\n79618 96180\n89307 92648\n30620 45146\n4046 51130\n46669 67832\n40245 65843\n35633 75644\n36614 53317\n44625 65471\n19911 90566\n925 37485\n41181 90377\n11287 56474\n60493 81565\n2181 97811\n23036 23428\n46140 65410\n67706 71086\n57115 95856\n8855 61292\n21457 88010\n321 99462\n28057 93638\n15963 23560\n21212 81448\n5480 52933\n65990 85523\n25855 58400\n25496 91400\n74499 91713\n57564 76484\n23529 85771\n17450 44369\n21480 70474\n25126 38642\n38678 44322\n13439 92934\n43404 95205\n56415 98554\n15439 25845\n69606 88278\n55157 74476\n46675 49618\n11241 47007\n43786 49854\n57849 62955\n89213 93763\n24821 97510\n6108 20102\n1548 23506\n22504 45181\n10429 94942\n78012 78985\n12559 93863\n55695 70615\n35773 46256\n28195 61315\n12225 20468\n57847 82886\n5973 67647\n15113 82724\n1093 93251\n83466 98432\n28853 77943\n35888 70338\n35155 66605\n64562 78469\n43616 47828\n6325 44968\n13154 17606\n49769 63286\n42922 52637\n10991 41685\n37668 86144\n20719 37295\n237 55594\n27164 74173\n29150 88564\n51542 91043\n3103 5490\n21335 47704\n71012 84308\n52215 52428\n43679 51439\n24822 98723\n14574 37600\n41865 80591\n3464 69501\n63335 70232\n28347 92543\n45770 84959\n5060 40188\n17127 93409\n37502 60460\n27740 80151\n11196 42912\n19787 86125\n21923 91376\n43704 48904\n46327 86749\n34102 83360\n32083 84038\n35968 43985\n2648 62717\n47807 65827\n66793 95784\n77951 88137\n8314 80635\n37215 72187\n2515 84532\n79891 95007\n6309 75289\n23180 85390\n8610 36318\n74023 75694\n47931 65058\n12870 83162\n9955 53399\n17474 50453\n14501 92702\n46406 51543\n4836 76186\n40606 92852\n22531 86428\n53400 80703\n53735 98531\n20600 82632\n54567 65562\n7292 66057\n80547 98975\n8377 66295\n9743 40871\n6496 45917\n53292 94316\n6425 98215\n55185 64699\n32932 57513\n30669 51521\n7769 47409\n23318 45610\n82805 89688\n64655 68677\n58493 84541\n28419 55072\n10652 84268\n25139 68821\n23657 74161\n15809 99962\n33308 42015\n8948 87404\n2904 27671\n83423 93673\n11457 15719\n17961 27873\n53473 55012\n60946 99347\n7004 60065\n2249 98822\n64949 97613\n6136 16903\n1006 27264\n22039 88869\n63694 74586\n4255 34939\n37522 90540\n40746 93171\n56552 87112\n3625 73211\n9878 56672\n72122 95913\n22792 88084\n27161 45962\n81929 84463\n1778 46250\n8173 65361\n73032 81219\n25356 96782\n55741 78784\n22220 22984\n21139 53665\n16315 29269\n27071 52022\n7401 79833\n22860 45116\n68274 79298\n18629 75076\n65610 68955\n18532 26929\n4117 46146\n36476 79703\n57017 95605\n77511 93623\n21664 92316\n23295 36580\n51299 84201\n68314 81490\n64990 84965\n13661 41065\n5706 57254\n31615 44407\n69640 88196\n19507 56283\n1439 16954\n28897 79229\n51332 77068\n6994 20324\n45280 61175\n57782 75030\n36901 51975\n83622 92606\n9175 70412\n60320 91578\n16671 45153\n30466 91471\n34596 43157\n36483 87316\n49736 87245\n7534 23470\n861 65339\n15566 64120\n30396 95771\n2314 55281\n6953 76538\n51559 85227\n63016 87798\n73590 80914\n20789 74370\n47955 83267\n14407 17014\n42559 57860\n16679 86865\n15541 81734\n2921 72017\n6605 47654\n19646 61737\n35077 92380\n13471 99205\n48861 89081\n646 23466\n6118 57035\n30633 40687\n1275 59656\n14316 46233\n9863 70643\n89534 94075\n31914 43817\n31916 82187\n50599 62616\n11455 40156\n11981 33752\n12256 84785\n2642 18568\n39908 50575\n77643 80561\n17676 76036\n46702 67821\n8323 8853\n34109 68828\n36623 74961\n87443 87555\n10738 21749\n2042 90468\n20856 99283\n35550 74121\n54871 96012\n4741 40262\n10856 38807\n74579 80196\n43195 63178\n51551 55664\n5608 64291\n5728 69814\n49028 57442\n41272 71187\n9516 70023\n21235 31937\n44820 88899\n14169 24748\n93172 96470\n75882 97250\n28378 43899\n92282 99568\n68597 91676\n19615 99326\n20608 27836\n24042 44495\n42631 59601\n14405 86120\n1856 71421\n4612 63314\n44580 49751\n53624 77486\n44289 81102\n46443 92920\n52855 77244\n59579 95486\n50570 51192\n25078 69332\n6156 88175\n61378 66159\n38818 69614\n24954 89812\n75665 90530\n2241 83773\n31835 34399\n6114 19850\n42614 64192\n1142 76835\n35341 51429\n48907 58978\n65647 97819\n29466 58769\n59862 83434\n44249 75625\n46837 50287\n52856 76539\n29601 58165\n20132 71105\n20495 44247\n3309 28960\n22983 50863\n25312 43597\n88781 95546\n49097 50266\n57493 60951\n15069 33273\n25422 76350\n17610 48997\n4979 7049\n6917 32234\n33704 90445\n15899 97380\n63564 72734\n78948 81025\n89669 89681\n46522 85832\n41903 65708\n74423 88203\n35643 87577\n1881 10337\n53847 95324\n9731 40404\n15116 15876\n9311 34799\n11501 14536\n8841 69701\n3566 64991\n53782 68823\n25705 26542\n46062 72975\n25531 29426\n31497 50966\n24293 26410\n51955 94621\n20360 96267\n34432 92537\n34388 96898\n77198 87209\n8640 47698\n5312 14782\n15429 80956\n19205 81572\n35885 81732\n21945 54185\n64407 74413\n40732 42388\n12256 60959\n11782 69723\n46886 89239\n24250 60652\n42346 58859\n37436 97518\n21907 49582\n9004 25722\n37977 45468\n84899 86774\n50013 80378\n17241 65913\n32145 44636\n39939 81942\n40980 73022\n50156 52150\n7867 98705\n39402 75700\n25276 26051\n34597 65103\n68686 74096\n72119 85288\n52145 92051\n55370 71456\n10197 44517\n22327 40063\n34624 93453\n76157 86715\n5151 50073\n80775 83883\n11748 93233\n26945 75661\n1318 81855\n61250 67683\n24452 94949\n18922 26687\n22044 27853\n7162 87553\n31906 91565\n50473 64427\n37754 49767\n52613 76933\n55722 74564\n45053 49895\n7833 13649\n20395 56210\n48603 95345\n60791 81987\n28453 67296\n11874 55473\n2468 4758\n17656 69078\n25864 93566\n18926 34909\n11878 30488\n48145 90814\n15299 37471\n51666 65391\n47297 89443\n55323 62889\n9634 69721\n32210 68060\n21563 67779\n7292 42180\n63750 78002\n5928 43095\n33643 67453\n48518 52906\n27320 37056\n15801 25112\n28552 28797\n72901 87848\n54649 65378\n30957 91425\n3413 80519\n38983 84972\n29231 33036\n45433 47797\n32700 71265\n36159 87026\n9719 30706\n49396 84247\n25155 40759\n7405 81263\n11215 59522\n61266 67141\n18069 44933\n40030 98682\n51110 95468\n339 21260\n10611 42679\n5642 81322\n47788 66189\n3043 90638\n20611 89780\n48062 69889\n63741 88965\n5855 73241\n8939 56078\n12975 25101\n59307 93402\n73482 98614\n44855 71717\n76499 81782\n52027 60601\n33221 99190\n23528 37543\n11922 79565\n28103 69194\n22314 34310\n30853 80472\n41125 45524\n14687 71179\n34012 34551\n44245 75861\n32713 95937\n41549 50919\n62815 81263\n78753 95997\n18102 47727\n27513 93427\n54087 64733\n27301 72563\n31271 50682\n50065 63626\n48557 55229\n58849 79534\n8935 16232\n5457 57236\n79197 93608\n22845 37456\n76115 82463\n66365 79952\n33458 36341\n391 29385\n19875 24794\n962 16269\n32747 40241\n31371 41055\n6188 91682\n18390 88901\n78012 85687\n67396 96539\n29719 51858\n40870 52868\n71953 85875\n27231 99881\n29518 71875\n23073 78433\n11850 78210\n33533 70283\n56793 74609\n45569 69529\n14562 47693\n9752 55858\n45312 55569\n12856 88742\n7406 84311\n71723 96389\n41198 90982\n47876 96769\n11003 71082\n39754 42056\n12968 61225\n53508 91008\n43553 94518\n3535 57592\n22867 33401\n34583 93348\n19027 35542\n24576 84421\n3130 64400\n33229 85206\n33581 48690\n76393 86727\n58282 80507\n24123 99793\n24193 70268\n36867 72057\n29976 76876\n2548 7232\n9089 56107\n31973 74953\n69414 79072\n30476 70338\n79834 85384\n83556 88492\n62843 84389\n19800 62894\n20109 49459\n7957 15684\n47462 59835\n9515 79464\n12036 74475\n29081 60358\n54031 54080\n56384 88804\n71292 97541\n54584 96980\n2869 35600\n3324 17078\n1063 6426\n11162 62285\n39894 87514\n6396 38583\n17736 49922\n10580 71169\n34839 57309\n42979 71259\n31914 87445\n12291 32205\n66832 76845\n5575 59386\n3099 35666\n34340 53650\n7621 72574\n46012 57877\n25798 55610\n60487 89632\n19011 87556\n18471 29779\n50937 72334\n6454 14523\n13007 92474\n86155 98174\n29857 69166\n55006 65565\n65884 73753\n69844 77108\n13674 52671\n86015 97106\n17612 43661\n25284 89325\n6032 22589\n41679 55419\n34543 53883\n3440 87137\n75030 92492\n78023 94522\n73228 82399\n18044 82738\n13275 52343\n22437 63762\n27885 60640\n45895 82887\n35662 49098\n39224 98030\n14973 78717\n26133 82582\n32354 44303\n1052 15365\n28363 71547\n3078 66047\n15967 74219\n50834 76682\n8259 27778\n6425 73841\n10416 72087\n61056 98078\n59997 69063\n19803 41281\n40156 69748\n8092 57710\n86392 92132\n11622 97653\n1695 58239\n12517 69596\n40370 48329\n5259 14464\n43971 67619\n38552 48157\n26434 27504\n50141 83537\n57036 75931\n12535 18000\n43566 88571\n28859 53146\n68136 72429\n10250 12107\n13231 75569\n51458 89036\n70491 80564\n22563 41242\n37640 66744\n62467 94141\n67966 93350\n7448 24366\n34075 65636\n95517 99061\n56063 64589\n43551 72044\n46501 62606\n16530 90165\n52379 68692\n17748 29652\n62427 79009\n20146 52473\n12948 24157\n33480 60272\n54205 97621\n11014 53645\n12708 59822\n27874 66218\n83298 85165\n14773 80896\n23797 32204\n45551 62069\n3722 20652\n81324 83282\n73850 88530\n29426 40189\n53082 98261\n2488 19127\n33597 82386\n20393 62723\n11851 93254\n26829 59170\n59382 90866\n27291 81811\n1123 89852\n34299 80407\n53065 61160\n83643 87564\n7479 19053\n10660 35139\n69541 82733\n49095 85226\n24023 96700\n7771 96411\n7239 22427\n42027 70424\n22831 70904\n79568 91324\n75255 96734\n2981 38116\n14054 59751\n64782 88881\n32456 38146\n5789 34674\n16648 30561\n47541 92105\n75586 87058\n1854 76834\n31323 94422\n80777 80978\n52066 72225\n34109 51470\n23651 95623\n15742 81460\n20323 32754\n49005 61329\n27264 51777\n31239 39267\n47797 68209\n72 38321\n11362 91244\n16407 38595\n43695 89916\n14679 77183\n55958 72230\n83700 89030\n18664 85001\n26830 30802\n32738 63720\n64694 76088\n6559 30656\n22139 45534\n57108 62795\n16267 98433\n32351 74385\n40791 46177\n14137 76445\n22247 39542\n68429 69996\n14745 79820\n33205 37476\n40800 65285\n21539 46798\n14712 85177\n52297 54611\n34574 80623\n9675 43231\n11384 87004\n6786 65350\n1295 36844\n29165 42130\n39901 71595\n90347 96179\n26969 71135\n680 80240\n46021 89813\n2955 9130\n41588 92805\n9621 90947\n69848 95809\n45457 45869\n37539 79917\n45399 50333\n50062 97710\n3224 79875\n72862 86506\n67114 95114\n92708 92782\n34404 72892\n28869 29451\n22073 47385\n65415 84647\n38658 94878\n7347 61546\n14440 99400\n82257 95155\n41562 52804\n34542 82844\n2589 48946\n30193 62416\n67413 75879\n28867 80142\n64897 72460\n71084 89532\n33191 88476\n23196 95112\n4079 53779\n47072 79696\n49886 97272\n32184 46858\n63105 73153\n23182 92035\n21810 61293\n16787 48815\n37267 86563\n20827 53325\n33205 80190\n17689 44296\n57383 96357\n80534 88963\n55170 74367\n27093 53290\n28523 38290\n58474 61188\n56375 88083\n51392 91902\n59731 80223\n9843 95084\n41495 80893\n7829 81965\n23568 44188\n68152 93514\n7430 95465\n7907 73901\n40873 56316\n17322 79333\n10945 46415\n59539 69661\n23096 90726\n51445 68444\n20351 52204\n89279 95218\n8764 28230\n44020 59354\n37498 56650\n70628 90653\n24204 89989\n45174 66993\n50205 64835\n51950 65125\n7739 24451\n18937 81561\n40180 76271\n56394 58105\n68830 81905\n869 19460\n14722 18393\n9795 29635\n12326 38424\n15881 61558\n2657 74223\n71619 80238\n15197 65751\n28428 53692\n72783 81075\n58648 60871\n54146 84558\n44840 91089\n18798 59756\n37921 64731\n27735 86233\n7665 59915\n42061 89093\n65014 89012\n44548 61943\n16015 77817\n43081 80626\n24148 35666\n22334 58064\n21163 41052\n30034 84125\n8451 74043\n88157 88297\n22237 80279\n9033 16558\n35404 55888\n16008 94744\n97389 99108\n16038 71456\n66859 85278\n59557 66217\n6799 37578\n79213 88889\n357 33018\n10455 59393\n37979 76724\n69286 85143\n5558 36490\n36984 38335\n17513 29834\n47237 50521\n71932 83249\n60959 88717\n24098 87964\n42809 69660\n43408 94260\n58541 85613\n8991 62312\n30059 47166\n28957 80065\n10927 82069\n20140 21836\n5942 39474\n8628 74138\n18969 81709\n50686 76470\n21644 41327\n10984 87435\n8416 79981\n36237 53368\n10868 89961\n3685 47052\n27554 48737\n16926 39403\n50423 84512\n46137 83335\n3173 72413\n8254 64938\n19130 49910\n40777 64740\n29354 51492\n26528 35997\n398 3499\n49520 79655\n18169 61957\n28206 88995\n54837 99182\n5210 79230\n43976 55101\n33617 94024\n16750 44777\n51426 82915\n39197 87048\n9535 96362\n76426 97138\n10126 38922\n11045 35568\n73515 78909\n26923 60226\n32739 44910\n59254 66164\n69911 96944\n23797 91421\n4469 22990\n46176 72298\n25541 86398\n54163 93942\n64151 79474\n6124 69930\n36570 94035\n74338 95095\n12037 78615\n70766 89418\n46855 55866\n70799 74158\n52060 90936\n15037 92010\n19771 80165\n40013 98422\n26358 37676\n29107 84563\n23556 74174\n1807 36170\n93727 97075\n10105 36402\n5498 37552\n6258 7985\n76191 82071\n15030 19596\n5258 67465\n7755 35863\n47104 60507\n9148 33210\n82341 85101\n4085 27792\n38159 60041\n41129 94145\n29292 57943\n84940 85226\n38953 84232\n11608 40685\n71255 79817\n46693 78304\n25744 99244\n11389 48008\n9536 37658\n82786 90820\n58115 95288\n33764 84276\n69472 74195\n22532 41433\n62953 70176\n15871 44036\n28451 74333\n36751 38187\n56218 98238\n43243 93469\n47130 68237\n5271 95783\n23622 53573\n11272 17434\n10100 60637\n19102 22685\n52417 72507\n76043 98677\n20315 84998\n11268 16922\n58834 81181\n17852 63847\n14433 93362\n15223 27686\n62537 84206\n23293 55785\n67185 74237\n15565 33226\n2387 28350\n48999 79897\n33647 91369\n19046 28464\n638 78155\n26242 70173\n55000 55766\n31868 78695\n18444 98506\n26566 94461\n50705 57634\n917 13445\n67754 89174\n52153 95901\n55204 63651\n1856 86931\n44055 72373\n14915 88328\n26523 53285\n72200 81387\n32856 43149\n6534 34865\n335 3936\n266 87454\n2413 38382\n81910 97434\n28187 80225\n5427 57365\n38835 40451\n15485 94813\n67646 92502\n12534 27567\n185 35267\n25901 74406\n75908 88605\n9485 43171\n61105 96419\n36983 68481\n80798 82350\n41616 73024\n59738 68041\n47768 85532\n7935 93505\n42112 71239\n27063 50502\n54338 55374\n47311 50238\n45999 72096\n9736 74089\n15045 59867\n50675 88699\n9973 30356\n65804 73282\n48635 63811\n13598 16036\n53707 77844\n17675 83919\n1387 62932\n29160 51008\n75801 77383\n55769 66040\n4219 95140\n71809 82743\n79768 86708\n26607 86286\n17211 97462\n1234 15252\n28916 69151\n40616 46482\n20685 49321\n65947 84263\n11599 60471\n43110 71120\n11696 45602\n7605 34036\n26791 32265\n55688 64113\n65685 69379\n4616 29040\n38429 50162\n38680 81434\n11025 44604\n15052 70373\n37260 74810\n26566 27147\n7134 84859\n3516 84182\n3847 15739\n47444 93901\n18003 52297\n3393 12090\n33133 62300\n48792 81032\n30761 87103\n3302 72700\n71061 92283\n4149 94620\n2746 59987\n44604 86282\n43375 97939\n31664 63099\n28769 37148\n20165 43463\n59307 72383\n24707 72212\n27642 86998\n64113 89135\n72345 79066\n16109 37119\n24398 28001\n6228 40592\n30346 84965\n9057 25466\n45301 89509\n23604 82404\n56627 69246\n34635 38021\n38540 41373\n3759 72328\n10594 70378\n11078 52757\n42999 73857\n59278 82305\n60363 86332\n21562 61574\n13529 49799\n35488 74408\n51741 62271\n18873 33208\n75811 80064\n42803 55130\n61051 67774\n5846 96857\n6498 36769\n1773 47319\n12853 56617\n43009 60730\n27999 72123\n8989 18615\n75272 88401\n5379 39536\n64402 78551\n3402 83691\n19465 67058\n19992 27100\n5343 88621\n15537 49788\n40352 74896\n44832 92547\n63816 98603\n24326 53716\n21012 99679\n17012 46402\n62434 90419\n48156 89111\n40660 61075\n51155 59034\n37164 75107\n20988 94490\n50449 69440\n5954 82453\n12406 40616\n54908 72388\n14157 51409\n48359 75894\n28185 80894\n44904 58598\n52985 74240\n25659 57131\n66781 81587\n11586 97057\n26292 68087\n37852 92066\n14508 80785\n22268 87623\n8712 28779\n34020 34612\n39158 88131\n28589 99455\n34561 50658\n11257 80243\n24299 40537\n63943 74777\n20356 47206\n31028 74755\n39385 93348\n44387 83850\n4447 57044\n4631 47183\n66292 82026\n26023 79042\n12083 93978\n43939 68139\n18979 41647\n12172 75449\n55895 83019\n80329 95938\n64418 75844\n9920 17915\n6040 30278\n59024 77653\n7360 53285\n1242 23607\n19885 31664\n10931 37567\n19071 43470\n50010 91288\n9339 87760\n43197 71496\n83025 95312\n56987 99679\n2156 20738\n58607 70065\n6846 18880\n74026 99982\n48270 59948\n12543 56801\n13330 61257\n26012 94638\n23080 84956\n1306 99910\n22776 95601\n4161 7692\n33077 87322\n35208 64950\n74998 94610\n31124 81627\n10858 75338\n17477 60605\n3425 74658\n2961 12797\n8488 41673\n31265 36833\n30002 61819\n6275 91850\n74853 86611\n51103 93249\n75795 76156\n14 31262\n87476 90617\n24010 48644\n51388 74146\n65976 75459\n30208 90637\n3214 78044\n17711 96207\n814 48294\n28130 67264\n37950 95269\n36179 82465\n11759 48317\n50856 53712\n18885 68144\n85962 89483\n59923 76588\n55263 96260\n47947 64396\n66012 76358\n9495 15656\n48658 78033\n75634 94490\n6570 87060\n46641 48647\n45430 84685\n18381 89253\n69298 82520\n43736 84436\n4274 57834\n19031 68508\n38363 64335\n21639 90722\n17294 72231\n25229 37158\n9990 49782\n5338 35765\n36350 79551\n80663 91248\n20203 68900\n9622 78051\n48617 75968\n48307 65953\n22680 30661\n54201 91380\n84269 95714\n17914 73886\n22717 39231\n28918 73728\n17647 83290\n42364 91861\n2017 35403\n25825 77039\n81683 98001\n26807 38387\n69928 87636\n4394 20651\n84800 97268\n37436 70941\n15619 32216\n14887 22591\n30409 42696\n37460 82791\n55659 67285\n32713 62089\n40951 78745\n88881 99502\n48899 79941\n54397 66417\n55252 56710\n35334 43329\n58493 73929\n10282 36714\n3035 23431\n21141 98479\n31093 80287\n18 73209\n7418 53991\n8705 62495\n13980 42351\n67570 76748\n36066 87338\n25158 35986\n18157 60302\n46574 57693\n8308 35865\n21571 23734\n21779 94042\n44975 45406\n6635 75481\n16330 20034\n50310 80265\n4075 49423\n25951 42539\n40232 60980\n35456 71290\n67275 83083\n26502 50502\n16821 17295\n11119 37881\n15141 24354\n34163 87575\n36012 81193\n20834 38295\n57267 93337\n61972 86170\n59111 85884\n9432 33830\n49739 57062\n73417 82380\n53542 83695\n46236 52245\n96457 99291\n7216 99891\n17095 80293\n48916 95871\n57834 88275\n13129 20860\n3159 76832\n80966 84950\n62437 82781\n79164 80018\n79706 80872\n23207 92235\n39152 45924\n71280 91115\n22522 26294\n16394 45160\n6892 48105\n77586 97662\n12063 32261\n5051 24831\n12106 84789\n10762 39586\n14845 44045\n20607 40731\n21515 68133\n24466 64875\n42242 98562\n1081 67398\n24334 67865\n61186 78578\n66895 94213\n61928 94607\n15514 95880\n25089 63772\n55941 88124\n74973 82096\n7739 44591\n4069 99755\n53886 67133\n26563 72126\n9718 92386\n76584 88240\n25375 80757\n24948 71715\n16444 32871\n51997 71337\n80 23898\n45710 76486\n22990 92883\n11959 28041\n44024 90275\n38435 50002\n23875 88723\n21788 31876\n82677 88678\n62281 62595\n5206 57190\n91175 92456\n66667 85082\n77182 83839\n7574 10791\n13259 55786\n38595 74017\n20266 33809\n57493 92909\n4521 7592\n15360 71908\n21941 75315\n48343 55534\n10724 63033\n93480 99103\n21867 77308\n14743 73135\n64225 96623\n5641 69197\n9954 49555\n83027 99249\n23067 42646\n17062 40805\n12066 98420\n55792 63028\n38424 79210\n72686 83513\n21793 42939\n3063 89110\n74401 83265\n20363 60779\n147 75939\n10978 50774\n34875 73018\n15639 22608\n15658 65178\n76689 78655\n48732 74544\n47040 75966\n38295 71022\n4777 34819\n74909 87554\n53355 77449\n28870 54202\n8943 54690\n30589 72223\n46276 52456\n67326 96287\n32105 49011\n43067 64588\n48617 58107\n19191 56947\n735 99520\n37611 56219\n24725 64234\n6689 67819\n11631 32333\n28281 94038\n42983 58026\n69691 83542\n8635 87214\n18319 67585\n21980 84628\n4013 64448\n91126 99683\n14874 66759\n16995 48217\n72469 78796\n37734 62063\n8116 77103\n57513 68032\n66886 72934\n18411 20108\n19948 34432\n20640 79007\n38571 84689\n66486 82517\n6702 38306\n11231 96592\n24817 74064\n39588 96790\n28325 47074\n10906 97936\n38780 52224\n4839 46694\n19792 79200\n4390 38950\n72203 80497\n86150 95366\n14203 22892\n74179 82433\n1954 7264\n65777 93735\n20266 27911\n944 10843\n68311 70317\n9856 94586\n37302 37569\n17549 41864\n71378 78455\n55194 89733\n5873 75787\n90064 96776\n33236 77380\n22394 43562\n6575 27274\n53453 77930\n16168 36703\n42566 72181\n42376 64505\n20328 26427\n66916 99055\n38394 99067\n40863 70252\n8987 59487\n31011 75364\n20606 34620\n27653 35379\n22646 81136\n25653 47278\n47885 75066\n61350 83329\n20616 23701\n4030 59123\n46858 47146\n11523 95345\n62898 73270\n7358 40444\n53195 98573\n14118 22608\n82264 95918\n38714 95500\n15991 24853\n42023 52411\n75201 75299\n14424 64646\n60035 79056\n7385 97115\n71227 71532\n28060 37459\n21504 55618\n17293 46877\n7077 20916\n14666 79404\n17434 82686\n33885 96340\n27922 47530\n55729 55737\n11379 57713\n6860 29798\n64627 80992\n6971 23396\n554 49358\n1123 37702\n19394 46556\n32840 84990\n43507 58600\n22429 44359\n62714 66582\n65733 76996\n69512 84688\n22681 97209\n30150 37376\n18149 39762\n23406 54465\n51722 88088\n30793 77681\n3743 97342\n48790 65740\n70022 82578\n22445 72771\n1229 6324\n1264 20586\n59811 79609\n9938 21233\n41121 57052\n78012 97857\n16335 42386\n19801 83610\n1919 21685\n25550 55045\n28305 48870\n27928 80582\n29929 90644\n35177 56599\n77560 77875\n88221 96581\n44565 47214\n29849 66862\n16833 63180\n60149 83512\n67353 97718\n13350 18124\n38412 73689\n34583 83545\n64118 84673\n55010 66431\n46663 52395\n32642 45952\n91119 95322\n69470 87014\n7829 89783\n39084 64282\n62245 82384\n41793 94971\n13471 33101\n19757 27048\n40468 95279\n9681 65475\n91851 92799\n16365 21864\n19599 66341\n47384 81181\n333 9622\n51089 72950\n60485 88754\n13464 71641\n10946 78296\n60878 90997\n6298 68180\n15145 65029\n19571 96866\n41591 78102\n26757 65070\n33553 48874\n29072 72782\n15210 73742\n60551 94891\n5254 81625\n5612 88138\n52803 77266\n9951 58530\n2387 89461\n2646 85542\n28135 90457\n24531 29517\n81422 95133\n9869 38029\n73602 95819\n16838 23020\n13299 84812\n44169 73988\n14863 39194\n16269 31704\n62353 87608\n43946 97963\n55307 74973\n73673 82948\n41118 63382\n44688 63179\n21744 81152\n9452 86913\n89338 95357\n73425 94317\n76334 88035\n12970 20464\n38218 85378\n16920 96564\n11805 59341\n9390 16902\n16749 79222\n8524 55257\n19212 62106\n44570 82913\n66749 97611\n16150 31041\n8497 27718\n61431 77305\n52045 80485\n20831 58198\n52200 68738\n83359 85920\n22481 41978\n9197 10207\n2401 36972\n42297 81377\n31378 68141\n22006 45744\n26810 71892\n33619 65865\n24395 77440\n16750 72447\n68841 78286\n34109 96751\n14495 24189\n27675 88677\n66552 75785\n33245 53772\n76157 91122\n29294 55463\n334 48013\n45097 61282\n20376 30236\n84652 99049\n31583 37481\n33904 40699\n60600 72959\n1562 73326\n60400 74105\n8996 57435\n13732 32068\n44048 69069\n39331 83569\n65152 98708\n31024 62992\n22767 46502\n6170 53185\n42192 61975\n57792 95198\n59462 86263\n2286 95898\n15626 28467\n23376 72680\n37159 57506\n47017 65384\n22274 98205\n32833 33157\n75209 97734\n25815 26214\n18303 51598\n20670 39435\n65237 67250\n28565 63657\n66961 72503\n508 67960\n56765 57354\n12479 79597\n21241 28572\n39653 48027\n38664 80543\n11608 73255\n38842 46576\n56404 68098\n4911 20042\n42328 74978\n35436 38283\n65694 73812\n90650 94341\n50793 83035\n42038 73910\n71430 84590\n18861 71473\n6285 65560\n72938 92335\n34575 76958\n28202 29774\n14719 31029\n31131 38613\n5113 85820\n32230 76266\n26220 59144\n46296 79132\n85465 96040\n47213 84868\n27284 65436\n51051 75901\n18284 78734\n5631 51575\n83124 89009\n40675 78658\n24751 69599\n12555 15014\n30881 34040\n23164 32888\n30104 92270\n9904 19874\n14909 18351\n87408 88339\n63479 64047\n50440 57413\n14088 36494\n30719 65888\n49215 85376\n30373 91012\n53280 95938\n6281 90747\n20850 81856\n2684 62745\n18914 88960\n3416 83636\n4564 18848\n8520 91465\n91535 92044\n42352 84403\n26379 74759\n33815 75797\n3949 91709\n72506 96666\n9626 48849\n24900 31864\n78585 85237\n21715 80510\n39007 96690\n38660 65123\n75673 79255\n16105 72062\n26202 59304\n38454 59525\n35851 84705\n18570 31374\n14485 19569\n17761 73931\n68394 91782\n37359 46440\n76170 92603\n67949 71849\n49441 88774\n72 94006\n20944 30383\n19341 50582\n40024 53288\n28574 94140\n37453 53877\n28144 96705\n17991 35529\n16480 16521\n33026 81235\n60211 81122\n17411 80828\n10202 16525\n38251 83576\n77858 80799\n29116 81962\n76969 88483\n49336 97843\n30639 35555\n63594 86007\n82495 85469\n64929 75404\n32365 91133\n20341 77792\n23591 62268\n14984 51671\n43194 71945\n80338 93495\n96390 99472\n58784 70305\n17365 23869\n10821 53613\n10653 27090\n48300 73794\n14908 76300\n52095 60799\n81947 93958\n40040 88876\n9662 98347\n72063 86794\n3320 69850\n11732 64156\n48386 71333\n22317 64812\n4842 29050\n4529 85915\n12115 66214\n7603 63636\n28359 71746\n34370 54746\n44096 44278\n50224 90546\n83368 84657\n33389 85015\n7485 88522\n37054 42631\n49758 85581\n54621 58569\n8624 47496\n417 41847\n51866 82496\n56139 66992\n27410 37242\n29848 56144\n52102 75863\n20429 89949\n14840 90547\n39602 79621\n56524 67823\n407 80720\n25490 89684\n68633 99865\n85569 95034\n68308 87362\n27823 58218\n74867 87354\n50221 80644\n37184 71979\n66865 99391\n11779 99810\n57347 94928\n35436 61725\n52622 92264\n51249 97826\n7882 23220\n41914 43599\n24392 37974\n20201 34413\n22824 94098\n1448 60963\n92788 98273\n21569 46177\n71985 85067\n42852 42890\n21825 34759\n3806 90462\n21262 68188\n34276 97463\n61248 93671\n57843 85584\n23024 49987\n26461 76943\n23687 79878\n15509 26294\n61671 64511\n37754 49576\n11794 80030\n10278 50210\n60145 97162\n17954 82671\n9972 16784\n5029 59999\n53352 81987\n60654 63935\n57264 91842\n72551 80105\n17355 59819\n16223 75969\n75590 81995\n29258 83505\n49948 90094\n45350 57764\n21581 51842\n19671 35038\n87257 91778\n35875 63773\n19566 70052\n36766 99338\n34259 45268\n5252 8848\n36706 78194\n28092 45811\n79877 91990\n7293 16835\n24551 26061\n33024 64787\n13378 17800\n30457 79985\n6575 78703\n11918 61681\n14711 18515\n27746 56330\n15784 35991\n11046 71470\n37828 75472\n37905 52154\n67913 68251\n12501 74208\n23586 50690\n73256 80600\n13383 71985\n20455 71131\n59223 71268\n44824 77960\n38294 77240\n15646 25319\n52306 95192\n3317 28018\n58722 78059\n22326 60548\n52993 91776\n19838 74122\n4601 19764\n24615 76245\n19248 85784\n7893 42785\n5468 80740\n63176 90308\n74369 94419\n5663 36261\n13983 22536\n36444 74570\n11121 97269\n72306 83931\n26679 95049\n163 79537\n7083 52717\n89500 92182\n63756 81480\n19220 25133\n37212 97405\n30474 67290\n10689 90999\n60397 78135\n43043 93557\n49702 67456\n29474 79358\n2058 91787\n4845 48600\n13 59231\n58883 88904\n82221 82778\n2994 56693\n1976 18995\n53937 83402\n53590 90812\n28957 33387\n1535 42084\n1223 21747\n71 66947\n37741 78929\n9484 50164\n11130 47152\n28259 65114\n36407 85308\n56168 57904\n34555 43539\n61423 77114\n41440 72178\n19314 28079\n59660 59770\n62899 86810\n5746 7322\n43838 65754\n25411 53279\n54456 80131\n27735 42844\n10528 33778\n73119 96867\n38518 51365\n6722 87610\n34219 64767\n32464 86457\n88146 91369\n652 15202\n48489 77312\n4824 74185\n34795 99186\n52426 96596\n1160 44252\n12434 89252\n31214 49088\n17170 57360\n68256 78714\n21123 87669\n9180 52225\n7506 55150\n81415 96145\n53579 84830\n69096 83823\n30079 85492\n22323 97480\n51624 81005\n51544 78783\n8087 40756\n10496 29512\n34186 39478\n32365 44340\n43433 77792\n29449 54467\n12601 76437\n15605 56053\n49979 77601\n31064 41894\n65315 66652\n75697 95847\n33264 84897\n36463 49256\n3753 29407\n10831 79861\n72800 87955\n54359 58663\n50283 86887\n48789 97820\n14839 91758\n6726 27005\n31478 53465\n27757 91869\n19419 66369\n1448 25699\n41940 50080\n14111 28882\n71702 87667\n53066 99300\n25684 62274\n15900 91565\n70762 90723\n15356 26587\n495 75936\n62681 86975\n25025 41890\n62963 63159\n39847 59289\n33181 80083\n50798 73536\n22665 69959\n69972 97898\n3428 46821\n32437 78124\n64026 95843\n30695 43589\n10570 86951\n32593 94389\n83354 91121\n65684 92509\n7614 52151\n61910 68961\n17542 18649\n17721 38117\n25875 42737\n69816 94737\n33799 46330\n44509 98381\n16376 96156\n54664 83641\n47792 92546\n24578 57217\n11079 49147\n61385 64488\n20737 32793\n2797 76825\n41279 79082\n21633 39824\n39079 62267\n11958 30260\n9699 18808\n23966 33014\n5826 28708\n51718 64122\n461 54106\n52998 59826\n49861 52690\n71264 75870\n1416 35145\n48982 86502\n17559 63094\n15946 20101\n29473 91609\n54971 87171\n9238 48349\n39837 48767\n4001 23749\n32233 82016\n19298 24999\n6379 70957\n81301 98228\n24194 76049\n28810 66033\n67351 72956\n42343 56093\n26895 46473\n18344 73605\n2876 90749\n43891 65098\n98448 99017\n19749 43574\n62325 66302\n1313 26857\n69390 70357\n15240 24783\n15087 67259\n60671 66959\n47648 69504\n9664 97233\n66798 76403\n35384 40208\n59119 98744\n16876 86440\n3158 39175\n65069 92511\n13885 76999\n191 65705\n51750 61942\n12605 82640\n49852 88785\n2372 75721\n80793 89860\n48744 95381\n66430 98097\n80588 84505\n45600 48355\n77820 83625\n55995 84452\n14879 33028\n6908 91458\n17630 91936\n31704 49933\n30355 85078\n6802 35072\n19215 66485\n63689 83804\n90069 90584\n75067 97139\n20490 51385\n41822 86054\n17074 93933\n12695 89101\n39024 90220\n40841 57402\n24825 89213\n81121 88844\n21711 86829\n61573 94221\n56204 65797\n48174 97757\n13773 37585\n77180 95960\n44057 81375\n13225 71366\n51602 55169\n80302 98876\n42694 97373\n61671 64700\n22336 30380\n286 37489\n55557 57075\n57252 86220\n1850 42475\n40434 68650\n47389 89963\n56708 75513\n50340 76106\n56333 59892\n33578 68580\n36810 47932\n25944 31508\n41207 44705\n49242 66362\n65582 72495\n19641 43654\n25921 58259\n85700 92628\n34312 46232\n24929 67693\n18140 63181\n47773 58792\n63902 94916\n64890 84779\n46399 93935\n73155 92247\n26410 56319\n33612 74528\n31985 66142\n7714 57467\n10628 52540\n26461 81757\n52835 54729\n47716 55781\n8225 66436\n24260 64516\n28616 47833\n31344 94978\n65741 66445\n7611 37738\n16278 49648\n77487 78650\n24051 92178\n31386 78779\n41620 69336\n13204 50565\n4100 39870\n31900 82306\n16163 44360\n76672 87847\n60283 77016\n87793 97183\n15648 55004\n45885 81749\n4075 63194\n19532 27810\n10799 19017\n42063 83933\n3876 15991\n3661 41848\n20676 80714\n23287 94611\n20453 89630\n27690 42662\n54904 70040\n48010 98109\n86952 99129\n18974 95313\n18330 23180\n3627 81474\n20631 80684\n1534 96450\n27070 54100\n43658 55378\n38203 89819\n46887 62880\n3870 17635\n34070 76831\n80041 84940\n77621 87602\n37661 60554\n75833 85423\n70227 94124\n74589 94553\n23780 91761\n70842 92887\n52835 69313\n61388 97133\n55398 70615\n30618 72084\n10488 96836\n19708 87673\n35601 96490\n16517 93479\n44940 50469\n16937 21008\n48795 77486\n29575 98719\n28889 56040\n35765 54368\n19727 76102\n32294 66165\n11825 40118\n20378 27880\n47583 75333\n53424 73398\n10161 52442\n53931 68708\n40026 61624\n530 80491\n35185 99341\n46634 61094\n1537 71720\n84091 89562\n59947 63125\n68370 91533\n18711 60019\n12651 29779\n13611 56787\n40258 92148\n5701 8062\n43249 67417\n8787 58743\n1214 82857\n10378 27832\n24423 78128\n20514 21177\n6352 80247\n8214 96472\n13938 23867\n48078 79133\n55343 60833\n23086 51008\n31183 68909\n31002 31799\n73813 84060\n6377 43061\n44487 76736\n75296 78180\n1276 13763\n34591 84653\n20538 83482\n42287 48281\n17863 27023\n37949 74577\n78502 97736\n11162 63278\n22917 64317\n18517 42286\n3178 72988\n1427 75770\n93481 94018\n13845 22906\n48957 93512\n19725 48255\n35046 88984\n52485 87481\n30480 77169\n1528 36942\n55630 83193\n51391 56165\n12832 54833\n12196 24712\n25997 26430\n31301 44465\n21683 50923\n32220 79785\n84374 97437\n11282 43059\n63961 87837\n68116 90928\n46225 66174\n23669 73379\n3199 84580\n34313 53981\n34185 86068\n27415 75956\n78623 90532\n18767 50184\n32608 56373\n8654 81600\n4640 15287\n10112 36966\n35305 82350\n45646 82734\n8264 25538\n1335 69523\n65201 72693\n45382 64670\n53761 65629\n27632 61581\n26751 42536\n17568 60509\n52988 71004\n27038 62688\n39259 50899\n61200 75462\n26661 64903\n20875 61426\n18363 22181\n2615 5327\n26266 29360\n48573 80828\n36209 92664\n8001 60257\n13257 36306\n5791 61573\n43176 57739\n71222 94786\n67062 86067\n5665 52090\n44647 66119\n26084 48966\n36427 48220\n11907 51489\n133 87962\n33424 90584\n77476 91656\n71570 97683\n19553 73293\n6866 40347\n37430 91550\n85146 93657\n26380 65893\n2231 34710\n17493 47193\n42239 79550\n76907 91498\n56543 72245\n3094 98488\n11694 81118\n35129 46710\n76421 78947\n65982 92932\n27417 54507\n61117 65257\n21118 62443\n51673 52389\n17940 39780\n13866 94208\n35355 90661\n9588 73819\n36697 94309\n23899 56939\n10861 46297\n9213 33660\n83232 93041\n28207 32312\n65401 67772\n35433 37270\n6621 9548\n72351 86780\n44405 67325\n43786 66657\n69686 70418\n50664 66378\n32362 36266\n6166 82514\n48504 78744\n11655 50950\n17496 91676\n18482 59808\n89463 89777\n27719 85335\n205 2945\n32070 86826\n28093 73826\n34857 48845\n37187 86138\n66888 81755\n47964 83907\n65500 66346\n41460 88948\n30966 92433\n40773 77287\n25598 51102\n32730 89083\n65374 66469\n2955 58006\n175 94683\n34943 38981\n30945 88352\n8822 10950\n17488 28797\n30099 98756\n23442 95532\n50404 99933\n41062 66457\n25147 60960\n85950 86135\n13718 22663\n59397 77593\n72526 84989\n62783 92043\n49174 92097\n30031 87176\n59341 70753\n41167 55565\n77469 95912\n44871 90600\n3008 78696\n19989 86120\n2437 35493\n16810 56512\n64874 86545\n59892 64049\n29207 81963\n41434 94253\n39924 91905\n50021 81019\n4343 16007\n20224 42139\n25870 74952\n72716 93535\n31367 37887\n48247 59684\n58872 75463\n24666 64434\n36027 84927\n66426 68766\n42558 67093\n8576 96417\n13490 50271\n8547 90170\n69275 71851\n16570 54879\n29374 92260\n9402 13300\n57136 58599\n7189 10186\n17830 19450\n41105 92765\n4589 37759\n54685 77608\n6808 40266\n17361 56332\n33848 98532\n47472 69530\n2635 41208\n16483 24272\n10495 44124\n24465 46889\n23634 93921\n42565 72609\n38204 69540\n37847 69170\n27950 72744\n59225 66678\n78700 85972\n41491 49727\n52300 57954\n45 34784\n60142 87210\n63917 85874\n54713 77882\n45425 46080\n41760 63053\n15631 47299\n48416 66254\n21595 75902\n48082 74164\n24859 60585\n41771 74111\n11986 41944\n10575 99687\n10503 30509\n1268 57709\n20767 91338\n24332 41759\n2415 73783\n29068 74172\n74888 93588\n77482 83606\n4977 88416\n9712 49407\n76936 86353\n50181 79380\n7771 13305\n33065 64354\n26793 48131\n19351 43788\n4736 90758\n2489 7459\n35112 39527\n60989 80505\n55029 98347\n46200 59067\n16403 55457\n24803 59026\n46255 90170\n38390 94827\n11693 59250\n62391 85240\n78171 84680\n48859 88344\n62275 84946\n45815 58006\n15927 95513\n30373 87546\n74419 88136\n71939 97922\n28853 81177\n30363 50962\n65568 86625\n76122 99030\n3814 59930\n67236 80428\n29780 46432\n9536 86422\n34967 74484\n75511 90134\n30365 86517\n82850 88481\n41312 78377\n3853 12852\n6938 47970\n28402 63416\n43406 66725\n8940 86652\n29268 69524\n13452 35723\n78360 99553\n17024 99799\n63292 82416\n29876 40294\n38874 93484\n29510 43512\n4115 58636\n65026 83268\n31733 79177\n34153 62769\n40423 94543\n39835 41527\n43345 91504\n9603 82275\n22124 56547\n6774 17113\n74962 90906\n9943 17652\n27792 52575\n56536 98682\n34283 98386\n20359 31337\n1540 20809\n25393 71932\n90250 97986\n18203 26846\n59443 67561\n52203 93558\n2888 89551\n21169 31456\n56628 89723\n8749 65292\n4335 59332\n35723 60204\n6173 23306\n86376 96321\n21981 98604\n19884 97584\n25236 82065\n2419 45661\n40854 55757\n5983 30036\n94038 98864\n13946 95101\n3503 16229\n6028 94646\n46088 73011\n19849 76612\n869 27225\n45668 95822\n54340 63638\n17791 73656\n46539 66011\n43284 93025\n14552 90842\n17205 35160\n5365 67513\n92297 96382\n1636 86374\n81023 83072\n33263 93346\n70759 79852\n26093 68811\n9656 34006\n83272 84985\n64219 73852\n58082 82612\n49912 77052\n30807 59490\n74742 89762\n7787 21310\n1809 33470\n71903 88445\n49074 54953\n14447 67037\n11492 71037\n43839 50067\n23578 50593\n25432 52009\n31785 67640\n78545 80337\n8246 25696\n11972 86769\n34581 87919\n10569 27339\n55406 62508\n70711 94112\n9150 35454\n25990 72580\n41445 64392\n60165 64789\n40274 61415\n25160 84697\n15124 30096\n31849 45281\n45373 77695\n35765 37362\n9453 87756\n24192 48552\n28168 45115\n69309 94973\n20880 36911\n15817 57899\n54390 57473\n38286 50410\n56990 63687\n10933 53010\n26415 54969\n63151 76217\n4877 46512\n206 89650\n19481 61017\n8187 77848\n852 83461\n8711 97298\n1426 83683\n30899 74904\n19520 61957\n1101 31097\n44560 53096\n59537 86162\n24375 89155\n39326 58196\n795 68583\n11554 17187\n62417 83492\n50277 52635\n966 11851\n63054 80287\n50484 65592\n5423 30155\n37214 93877\n44869 75592\n11390 71034\n647 5603\n77907 96965\n85811 98192\n49726 65296\n7214 18246\n32112 33882\n13381 23263\n42354 95079\n28229 41012\n16545 23310\n48236 54819\n26102 39230\n63765 79841\n16914 81843\n37051 48038\n74827 75965\n16375 24899\n37935 94261\n19464 77868\n49912 54951\n66259 83515\n39232 52044\n66008 69228\n41663 74671\n32313 79175\n26471 79538\n54845 93219\n16663 56531\n42332 44942\n6261 8780\n30633 48941\n1409 24743\n82782 94332\n39791 62565\n48479 58769\n65695 81778\n5244 25019\n3853 53141\n22786 63558\n6032 57324\n52575 84145\n3368 93397\n20823 54607\n28924 75765\n55366 70457\n77558 97107\n57060 79227\n40720 99667\n80191 82188\n5378 72937\n10364 50224\n24039 49124\n69047 70942\n58709 59210\n48424 60582\n27413 42404\n39286 51889\n19934 71859\n37791 51837\n49875 80142\n31155 65999\n90027 96969\n40613 95653\n54643 79177\n48431 59092\n34262 47551\n21553 45263\n18424 48285\n67470 81241\n60719 72768\n49404 98786\n65110 87250\n29371 78160\n37347 65494\n47159 75346\n38197 42117\n7850 45877\n35753 80117\n956 64054\n56275 79339\n73139 74560\n21944 71338\n26182 59042\n38032 56533\n8163 73310\n44781 65942\n13914 85446\n38624 76340\n10131 28818\n35220 52687\n36534 46325\n36423 47140\n50316 67042\n20351 51740\n43806 50502\n946 8994\n65579 83955\n28456 56951\n32004 76623\n8639 56519\n28505 94165\n64967 88819\n50919 87226\n50569 89659\n41776 85041\n60001 63316\n7781 24883\n26456 99829\n66807 77084\n17128 60934\n11291 30367\n24815 47350\n27376 51353\n20065 20301\n41390 61912\n15473 29359\n22182 32173\n49056 64144\n21565 51710\n44403 83506\n17107 63666\n23954 40074\n93256 96065\n37432 82107\n15627 51519\n19614 77413\n47636 87687\n25367 28500\n41170 73256\n14320 87431\n29119 81136\n50315 66558\n91125 95109\n54571 55499\n49684 83352\n16775 69493\n20904 26003\n51014 92758\n57368 66830\n35002 85374\n11540 20278\n7067 61625\n8678 90097\n34796 51474\n38630 89112\n14648 67388\n2639 44721\n9398 10546\n13411 64560\n2034 57742\n28392 35966\n67608 77522\n75266 93656\n35784 63741\n14522 67713\n89848 94327\n30143 53881\n33123 76548\n17974 44588\n3690 36753\n83665 83803\n18443 60260\n1030 77053\n56857 96866\n47736 88118\n48709 71886\n40400 64981\n3064 19614\n41130 43139\n11390 77656\n10328 39465\n40336 59479\n65068 67585\n41194 67824\n9095 18773\n51320 67297\n37743 53922\n33807 75350\n4964 95500\n21928 47269\n32195 83249\n6354 50264\n912 65898\n67795 99213\n48628 58649\n40633 78885\n12843 16491\n52342 65629\n7108 29350\n24607 52670\n1198 8667\n56000 61196\n10035 21471\n54396 94386\n75373 85868\n20855 44208\n24118 38132\n3872 56369\n13034 57763\n89264 99124\n1701 44822\n76468 80504\n60806 98028\n71314 78026\n31370 77103\n64548 79110\n46251 57779\n15974 79179\n16571 91617\n42697 98639\n27398 37221\n23089 73976\n741 52761\n19479 37411\n69826 90907\n40431 46730\n16235 63331\n35607 71298\n63190 80821\n24929 67323\n47351 86394\n53236 69902\n34197 44767\n54474 73765\n2584 18809\n48984 88408\n45817 89736\n25725 64233\n82048 90708\n32081 98470\n73070 77762\n6866 24104\n40947 80645\n37270 57483\n14857 62823\n33102 56969\n7136 96987\n9897 13289\n86941 95950\n55709 87802\n5387 84341\n67818 94796\n42141 68686\n29558 77790\n19266 30907\n5798 98935\n22039 33979\n10785 38121\n18039 23853\n20480 43377\n22946 65843\n41156 64680\n4042 12945\n61765 66027\n33789 56779\n16039 32058\n14960 25121\n92068 98541\n81343 85412\n5382 57077\n41659 93251\n24407 24460\n64155 78107\n26685 35410\n22605 95968\n17817 25281\n12167 27726\n31816 80732\n17229 95236\n65232 71267\n8963 10955\n10619 73389\n73949 98439\n19558 63236\n81406 99518\n1253 55879\n75498 97286\n20148 96007\n16140 25290\n70269 81589\n39644 48078\n17226 34566\n49367 69334\n42494 67775\n25247 79421\n437 77113\n79997 88527\n4867 59048\n54466 94157\n2762 96540\n21840 59942\n8313 74960\n48664 87587\n14667 63774\n82113 91861\n397 4132\n21155 94371\n34356 41085\n51215 90006\n19661 31550\n5110 44128\n26387 94825\n1698 18276\n50304 55736\n54604 60423\n32322 99963\n47865 58510\n59480 65510\n53800 79928\n44133 91359\n72332 73307\n50610 73199\n21366 85000\n16477 58081\n22744 28538\n18989 92705\n40047 69027\n68297 80256\n24088 37845\n36506 50446\n25496 44272\n27071 61581\n37374 72262\n19600 71948\n93387 94323\n25138 95909\n34969 72207\n55844 78203\n39557 53397\n31072 84008\n26987 58172\n5027 45271\n82005 97958\n2323 45032\n5239 76888\n22634 75639\n85260 92713\n25068 66183\n13100 62371\n30177 52833\n18465 79731\n45535 99157\n26237 52003\n14359 15448\n54490 88952\n18707 58061\n77999 81659\n86636 91750\n36226 98544\n18789 64554\n59799 78250\n66762 99897\n58136 69211\n3866 52688\n10425 62866\n32534 70241\n418 51131\n26343 67355\n10448 72130\n26447 89713\n76763 97843\n75604 83589\n27894 42200\n956 81995\n74922 94443\n2311 97833\n70996 82898\n46197 51667\n41866 55235\n26760 71813\n871 50427\n27974 88354\n1026 16362\n25056 96074\n54692 93423\n9958 40391\n7598 69337\n15316 72904\n65527 88303\n2024 7272\n88 82395\n49815 55361\n1258 32893\n25263 45667\n55358 56544\n3875 92472\n7176 14013\n14645 56069\n38425 96794\n9390 10658\n14612 86128\n1198 89311\n23781 87708\n34628 98646\n10982 85563\n60884 88055\n177 39483\n46825 62983\n37237 57774\n55356 63415\n27954 47708\n85833 94317\n40762 71625\n35689 66903\n39011 73834\n45405 95412\n57694 85117\n823 46170\n57705 96243\n57483 96922\n51805 77394\n18580 62887\n84181 88455\n11642 25454\n676 11476\n1968 81396\n65628 78587\n15376 33180\n7668 46425\n40395 44781\n41634 67647\n55915 90941\n90201 92736\n33018 63377\n36832 79868\n16110 21067\n61769 78592\n55591 60925\n25640 49939\n79 94138\n2653 35460\n13294 75722\n6431 87563\n36975 96683\n49570 95983\n21672 21957\n43790 68887\n12788 31870\n18775 73533\n14207 85892\n26044 69171\n1173 18024\n16966 28639\n58174 62088\n18282 92265\n36752 94847\n20068 99270\n32738 56701\n70975 95472\n67473 96694\n33531 94968\n33650 70936\n9758 87434\n4976 19281\n21613 48241\n20747 40721\n82074 93763\n8962 12078\n27478 95842\n19603 43529\n10442 64225\n8664 63993\n21996 93444\n14225 22559\n15851 73857\n40906 71484\n33001 77639\n80580 99240\n22181 27014\n54910 89390\n69077 95716\n6743 9456\n62708 90088\n5116 81776\n12879 92256\n34540 64154\n76032 80815\n12792 59424\n36211 92566\n13981 92517\n13810 19959\n40304 73743\n21550 28867\n27360 89951\n3242 88414\n31851 64617\n25022 59648\n8358 89372\n6624 53389\n47133 61088\n61963 92836\n64539 66991\n10902 35314\n55168 72743\n38367 80825\n28763 84476\n2476 94763\n16273 52919\n40372 86821\n32379 59720\n11502 16566\n35475 87833\n23541 63936\n60368 65423\n64094 80503\n10015 19243\n33057 49814\n57164 95364\n38046 57129\n82073 91579\n16659 27982\n66905 84006\n3264 93064\n42877 84840\n8553 88878\n7961 44878\n809 89373\n62746 70701\n9229 45067\n87176 96642\n23590 91103\n79702 92733\n15894 56201\n82474 99220\n88354 90587\n25401 37680\n38896 55886\n11651 44796\n2993 73806\n25753 71968\n13676 44182\n955 75103\n16586 73632\n5724 35612\n12840 44795\n44455 89283\n40618 60057\n39811 59722\n12526 24959\n74645 84941\n24198 87737\n36846 60490\n15717 65597\n28330 63606\n1001 13210\n10260 89035\n23626 98530\n998 10923\n38437 95039\n20745 77722\n61052 70108\n22113 55443\n16383 59266\n63242 68826\n8543 67560\n1209 18512\n61257 84167\n54456 86703\n55219 73073\n37791 91087\n85588 87854\n7135 55141\n59384 97994\n3387 74274\n17470 55557\n32343 51219\n6300 59319\n78934 95358\n15667 64101\n78167 81397\n86324 92928\n7301 21697\n39943 43210\n50084 52465\n17050 80507\n6598 41102\n53325 70453\n32925 93352\n20027 83167\n34046 85578\n73152 82839\n7225 24652\n9241 60617\n24584 31751\n6982 15817\n4304 68246\n18004 95741\n1649 84544\n1141 96060\n12516 40927\n29885 69221\n5694 90538\n59395 84047\n27919 90491\n29544 38776\n65304 72232\n12661 17111\n379 74600\n7759 92362\n53379 70391\n8628 93164\n22237 47057\n16019 67757\n34295 36088\n906 95422\n3410 33456\n45106 86798\n12830 42457\n26374 86975\n60733 78574\n15472 93548\n35511 47606\n52461 56917\n5151 62236\n62209 81211\n36987 98031\n32965 55681\n44399 83003\n37872 86721\n71919 80668\n49641 76054\n12159 84981\n42881 96789\n6904 14654\n2697 25759\n53404 57318\n51238 66741\n59107 84919\n40437 77522\n8703 83740\n55510 69301\n23869 60600\n82482 86974\n34794 92159\n30626 71210\n36036 83412\n34639 50850\n19342 99660\n28467 99752\n9171 61358\n38683 81297\n34976 71580\n13634 95387\n6666 71654\n13120 61738\n57714 73927\n48078 59844\n15566 61340\n41684 72013\n75854 86824\n12379 37674\n7758 35695\n32747 48576\n55453 99692\n8073 92053\n47115 79321\n42561 81178\n46804 94131\n13062 88191\n21897 49421\n31344 99927\n30851 97884\n74224 88267\n11074 91648\n82175 84728\n60208 74617\n48639 77855\n69534 92890\n19969 70084\n27436 91495\n4810 26478\n863 49110\n22401 51507\n60791 94385\n16372 49140\n19546 90061\n85580 86433\n5068 10256\n7187 95621\n12030 62224\n2334 39831\n21164 62208\n36400 57623\n36185 50114\n13932 19207\n62076 86544\n20376 95155\n44919 97776\n60599 73438\n6241 17060\n57649 94735\n8301 13868\n8755 14756\n60577 74360\n47281 78234\n71012 87071\n10192 50169\n44313 65092\n15377 88837\n63786 94631\n52092 60599\n9718 13229\n52002 87078\n2899 27012\n93119 94486\n44270 89857\n13671 66699\n49136 80316\n49643 98025\n28417 92141\n28549 65716\n70980 92432\n50243 70317\n2499 84190\n7878 17673\n57453 87068\n18428 20905\n30470 79558\n42041 50942\n84025 95630\n40011 98305\n712 38793\n73044 99664\n43928 48968\n47481 81567\n20956 80922\n47695 82908\n37261 73653\n24127 70251\n83089 95175\n27812 70671\n43222 72806\n65867 75718\n79611 98475\n37547 78921\n5104 20486\n65173 71332\n51258 79941\n57568 75275\n61612 90490\n20401 96305\n18996 61799\n73893 97049\n17303 72554\n82815 85730\n7275 60333\n24617 74016\n60947 61348\n18567 97436\n11163 26063\n10005 14694\n18216 24031\n8966 29209\n1008 69769\n8644 29326\n76321 87541\n6221 26758\n16706 73629\n3174 54326\n16504 41180\n57893 66697\n8076 65542\n16504 24933\n15716 36949\n5947 63394\n56974 64943\n73128 98495\n81685 90619\n53265 99664\n67715 93505\n31556 53725\n2523 21366\n64857 80293\n8049 34036\n79229 98103\n67831 98217\n85737 92422\n311 72550\n28626 87235\n73606 74073\n20891 59877\n70757 99987\n15214 30652\n26972 34547\n18186 51366\n41109 63126\n37311 52487\n44325 53866\n24975 45571\n53100 62719\n74533 86869\n40356 99285\n65318 93331\n7517 39613\n74915 90443\n31591 41183\n82027 93833\n21684 85393\n12186 85403\n28882 80704\n27526 49517\n7022 61116\n9438 82212\n63903 69793\n2586 84692\n52476 77229\n89733 93995\n69059 81416\n29020 89270\n28033 94918\n18440 91927\n23911 55365\n51281 62151\n9625 19830\n60738 87481\n38290 76511\n5010 26134\n37072 72190\n75441 85728\n46986 71884\n27662 92393\n28736 62806\n56120 89542\n36492 55665\n2372 18484\n3277 17054\n35936 98164\n31872 95031\n63506 67832\n2636 54697\n51884 88013\n7332 36343\n15753 16675\n60624 77844\n765 88419\n35271 75183\n10709 32234\n51950 94085\n40834 50322\n30452 53838\n21257 44570\n57988 75693\n15003 16669\n12810 84211\n73872 79542\n80849 93820\n52195 56807\n6891 65518\n36502 86124\n48754 95578\n49831 53440\n71239 95164\n8349 68487\n34362 46803\n85436 89923\n24432 84000\n8687 20434\n51742 88210\n37552 76352\n13612 51186\n71869 94775\n7446 56153\n87075 92902\n72806 75385\n14922 42581\n1980 3338\n72691 91859\n56023 92032\n76274 86126\n13058 79971\n23744 40666\n49568 98025\n34496 43243\n2709 6206\n22444 36457\n2250 60503\n69327 95917\n7272 9372\n72125 96375\n44493 82738\n56649 71096\n66000 72090\n66631 72887\n28650 67312\n27540 56156\n16994 18304\n81777 97534\n3513 61250\n5449 57394\n45565 62928\n83968 94735\n47604 98996\n45146 53454\n55193 57206\n14176 59416\n9878 26108\n2216 38831\n45019 67662\n4463 87342\n1609 67934\n13309 48331\n79283 84117\n21430 59297\n43529 55045\n9318 83555\n8217 32078\n53886 88216\n54064 68455\n37389 85491\n63232 91607\n55760 78299\n18233 59497\n6963 97006\n78452 80638\n25399 30307\n43354 70214\n2378 97919\n60756 66166\n8463 92621\n89715 97522\n29700 51324\n19574 31861\n54305 92603\n45333 87081\n9460 22709\n8412 16031\n1457 91826\n42258 93735\n29694 85278\n16122 69645\n455 5911\n1101 28892\n13707 69251\n49448 50020\n17337 70537\n40204 64772\n32201 67923\n17522 59433\n69569 73941\n45181 66992\n39725 46610\n8413 57394\n54690 55026\n78373 95758\n3587 45283\n8721 74964\n30872 55925\n64638 66430\n15274 49453\n1529 20942\n15769 70754\n15748 59945\n27043 64301\n28021 64984\n36942 91282\n32154 39297\n65721 65841\n12833 83696\n47052 81009\n7441 80094\n89013 92877\n30267 98174\n42384 59129\n28212 92855\n23531 96223\n89677 99709\n24255 91751\n52995 99656\n9066 74224\n54045 90517\n25363 71693\n14371 66397\n49340 50135\n52928 91218\n48539 86800\n50556 54847\n31584 42240\n58464 79625\n39388 56787\n26642 28416\n29625 76713\n62283 97900\n6607 47044\n24621 28099\n30565 33065\n1949 34701\n5817 51286\n4105 23787\n3020 41942\n35221 96255\n3425 3933\n14294 84141\n26236 82763\n46378 83715\n7873 65771\n61673 74050\n2566 62186\n11451 59899\n73066 86632\n20004 59999\n52406 88737\n8623 32801\n24738 67584\n74616 96122\n4300 72791\n36389 97564\n21069 28388\n71817 87634\n46478 85066\n35566 45990\n18529 46432\n16298 96590\n20741 52454\n42334 85929\n9906 55873\n32302 40829\n14219 57972\n4375 71858\n76911 80553\n33093 59748\n7629 10718\n2536 30564\n15512 68057\n47384 95347\n58669 94023\n59601 96575\n13623 14652\n15830 80660\n64115 83760\n1410 73861\n63398 67650\n28784 61578\n67380 98139\n17334 50598\n50958 86339\n60944 79900\n38203 58461\n23940 76360\n2508 79539\n47127 79076\n53335 93948\n24022 62477\n7163 76693\n27613 87441\n9227 29823\n8322 88558\n44071 98827\n66753 67081\n2696 55051\n37694 40681\n39530 42085\n21009 89895\n46493 62653\n47659 95024\n35654 91377\n22178 26074\n38738 76851\n72967 99881\n34815 49600\n54540 99119\n25248 61581\n61942 88758\n64990 90240\n42350 50222\n16164 75553\n23053 24256\n7832 43823\n81887 87138\n34376 45701\n72833 73557\n9672 40632\n36241 83495\n55434 62956\n11274 75154\n22218 24986\n52175 97549\n2112 97046\n2441 44941\n64485 92873\n1739 4613\n45446 63382\n26168 75173\n81221 84006\n12515 58133\n44421 93035\n49439 71265\n2239 50861\n18916 63093\n21926 65681\n23620 45591\n20253 75145\n21390 39279\n66749 81622\n49749 93624\n19534 89552\n13447 23238\n19616 32503\n43657 99366\n92321 93223\n50251 65237\n57592 60878\n69321 95525\n21962 56227\n38580 98491\n75960 93256\n93177 98166\n64204 69620\n66931 71459\n23710 67665\n22838 66292\n567 99514\n27897 28650\n55728 76086\n33841 37484\n28229 64280\n90334 99051\n2538 53469\n10730 28242\n18195 92984\n3845 17760\n33079 79843\n4566 18010\n46545 68328\n34654 75503\n41541 81393\n27041 38941\n21156 42561\n46997 63847\n33620 98952\n34792 77380\n9045 73907\n4326 31971\n42918 55225\n31286 70633\n53912 78116\n74055 82311\n2987 75487\n25125 93397\n80099 93894\n63505 95072\n13913 42648\n45462 48077\n32816 81827\n14990 54547\n58772 79601\n79086 93260\n9047 75526\n14207 68402\n35965 53085\n25055 92625\n5046 80419\n284 65087\n14427 59200\n19759 38350\n6107 29683\n27496 48338\n34512 71257\n945 83208\n6461 33013\n3609 32538\n30340 81077\n23731 95610\n87024 92933\n12779 52396\n43188 49755\n32618 60697\n57191 67619\n18245 45240\n96070 98891\n14650 84986\n55079 99264\n44620 80061\n14126 86129\n21014 78491\n14704 76688\n47674 74338\n20821 63389\n55389 77748\n9612 9700\n59121 67187\n1892 28736\n59206 72994\n3538 98179\n5674 75827\n2252 6160\n49338 69810\n28157 81819\n51821 82044\n6374 16012\n43435 50306\n73301 99111\n14558 98474\n13307 63889\n45893 47885\n56116 97678\n82594 96412\n15193 45420\n40116 89323\n5442 52276\n48871 68009\n15891 47687\n71010 73513\n13553 94021\n62601 78258\n51702 61424\n8543 79877\n56434 82319\n5334 8267\n69506 77205\n50161 58394\n41515 42236\n37419 47254\n4761 10372\n23485 36691\n6785 27650\n7235 10185\n44349 78571\n20955 35267\n61789 63466\n22955 56598\n21695 85823\n32282 60845\n58483 75598\n73668 91611\n35202 81256\n35580 69938\n93278 98550\n28128 99731\n22217 94633\n36963 95021\n9021 91777\n39142 89880\n24648 29040\n36065 43917\n2789 18792\n25350 29339\n10716 16085\n12478 45182\n78725 79048\n46357 78768\n58402 92802\n27175 53371\n53798 80530\n46256 78003\n5618 14769\n13603 39094\n9619 19624\n27828 60352\n12722 36423\n9893 18524\n21585 76110\n14555 49367\n16892 26678\n26294 48304\n7754 86672\n61713 63786\n60936 88290\n42583 78116\n17431 39228\n539 76585\n22876 48820\n57002 74243\n36237 99048\n9470 21641\n66493 90334\n71163 88989\n62843 88916\n17235 57312\n13429 73207\n26056 91163\n59034 81251\n16012 32383\n47422 58401\n2578 75287\n10789 83179\n80157 93451\n22149 53679\n24737 81639\n59030 96331\n50748 79713\n15864 65667\n63058 80887\n18333 41555\n15317 93566\n33923 68939\n10139 64118\n26379 34552\n40568 74295\n19056 74257\n11746 29109\n22070 83286\n1796 69680\n8556 63237\n19314 24269\n53758 87773\n39118 67509\n44176 58318\n55105 77865\n3341 38296\n29580 64594\n27687 76024\n24356 59726\n30954 61437\n1541 88309\n17655 20441\n7960 34377\n48283 63499\n48201 98922\n85223 98273\n53912 61130\n48616 71695\n17041 53484\n57033 62248\n22573 62207\n26112 49215\n25218 92269\n14385 33191\n8622 95109\n10667 77296\n1729 60352\n13943 65537\n29544 64050\n21808 99694\n1480 55177\n21028 21479\n25204 74757\n943 60379\n16327 77832\n21470 51196\n12566 51946\n44474 83047\n22482 44474\n9767 65905\n14912 47162\n49958 76230\n5791 55483\n23430 39705\n36660 98972\n30685 50219\n58066 91331\n56202 84026\n7816 49502\n43093 55087\n13871 60547\n46541 72583\n69003 73699\n40991 95294\n35528 99712\n81836 87446\n29057 33705\n6880 44149\n1487 3991\n26981 63750\n16783 76580\n22285 71478\n29369 84976\n1342 93017\n65615 97477\n3125 63563\n64424 69252\n49098 55143\n5457 52507\n55901 84934\n6093 21569\n11886 73988\n10645 82268\n61080 78188\n329 72675\n3483 56162\n12775 68479\n89345 98023\n3697 97275\n18139 35489\n26139 27629\n40647 47259\n12735 98698\n12723 16526\n11576 81970\n193 18146\n25658 66265\n20867 75965\n46265 75905\n72357 76370\n46734 47758\n7259 28228\n11031 98658\n78413 83923\n42026 76872\n68679 90506\n81930 83717\n42804 42996\n45384 70600\n62619 65705\n40840 69167\n25709 66518\n33961 49913\n50717 64065\n60175 91538\n14160 46144\n7993 90995\n56570 73115\n17660 76843\n35245 68035\n6713 42577\n16685 27036\n30028 42773\n13448 93239\n17908 72970\n9539 74834\n27336 69373\n72626 80372\n41388 98412\n35128 58743\n32301 89608\n90875 94485\n62577 73568\n26063 54464\n691 43603\n23214 49525\n30942 32937\n34376 56090\n62549 67306\n67555 77105\n29011 68090\n32528 62623\n2659 21887\n63595 63670\n36900 84482\n53063 93112\n74789 91292\n34412 36728\n690 86330\n65794 88096\n53034 84248\n39247 49417\n37595 76588\n20796 24614\n41322 83925\n8190 11086\n17638 71129\n18383 65597\n11947 79599\n51739 52799\n8022 74589\n10301 63325\n29788 40163\n30724 40959\n20706 68383\n44002 64919\n10759 55348\n32028 90606\n31441 49885\n35969 96359\n30723 32406\n47865 54297\n1939 73571\n29995 59718\n15103 42681\n23040 57023\n26211 67475\n21459 45580\n34430 42140\n30591 51215\n42221 76565\n19886 35554\n28408 60876\n7609 91913\n35663 84284\n48245 53581\n49979 87572\n49865 70898\n67587 82022\n12429 86303\n13181 79114\n16970 66703\n12599 17329\n21879 96815\n45535 63252\n21000 72076\n13690 82896\n23022 27279\n5420 79167\n44353 57586\n51450 69776\n80185 87940\n13568 88215\n40897 86444\n47486 61062\n41347 63197\n23958 41370\n30388 30592\n12468 25332\n10421 56413\n39880 49695\n47929 52827\n18265 37754\n18599 34083\n28249 44629\n15059 59786\n33116 91123\n22089 88980\n40082 61783\n20447 61510\n4608 58171\n3808 23083\n56708 78452\n9945 58648\n96042 96749\n4121 39972\n14946 67816\n84217 96883\n39766 93428\n47288 56375\n59260 86712\n78428 94825\n31170 71576\n24994 85606\n72837 86572\n86921 92773\n34888 41070\n55169 73932\n65935 74370\n6102 22651\n902 57083\n37281 82628\n20255 50048\n28571 81269\n9894 50610\n27923 37731\n42190 72916\n1593 33153\n16631 20617\n28874 75180\n19782 67667\n85677 95296\n53235 60700\n54361 57330\n34976 55179\n70876 71653\n44521 74318\n56510 94170\n27429 76551\n9352 22916\n41495 97296\n58292 65893\n43839 80768\n25539 37659\n23128 72860\n31120 70135\n22641 56901\n61326 80746\n31643 37904\n858 76903\n56524 89592\n7825 94248\n13604 68960\n57805 69699\n13214 20940\n9769 17004\n33304 68055\n22381 90319\n24944 57703\n72715 99127\n30043 90529\n7376 83930\n2748 83921\n1088 21719\n96264 96986\n72998 76761\n20067 50753\n45268 49982\n29142 81191\n36255 41795\n53353 64868\n63663 76011\n58887 85114\n44649 98004\n73511 77865\n1987 21842\n26785 38459\n91682 96003\n86578 95981\n83001 96969\n14203 77768\n7358 80475\n16325 45969\n83592 95567\n16492 77840\n31493 70966\n51976 86676\n35370 42425\n54172 65137\n25972 80420\n8648 69563\n19376 82522\n47216 81984\n2965 85474\n46812 70491\n28876 84978\n15614 47383\n7273 15642\n75956 76038\n18848 79084\n66937 83570\n48975 50058\n44995 56805\n22816 84693\n70480 80021\n13751 65864\n52532 55525\n33526 38470\n3751 20658\n32596 95751\n55047 75038\n33208 95985\n8225 91302\n31304 87287\n42558 61994\n11822 26130\n13731 66445\n11479 39776\n86983 99887\n56428 87273\n56915 92565\n22709 58691\n35910 40514\n58879 94196\n72359 85602\n13560 77132\n9394 57399\n56267 98169\n8173 44516\n77584 87859\n85414 91066\n21280 70754\n5577 7284\n36367 86224\n51972 56437\n45956 49961\n6058 97820\n51065 77405\n5060 24639\n1865 92035\n8956 61463\n12765 91945\n13488 60771\n14585 24807\n56115 73862\n72108 78483\n23459 99509\n18434 58572\n20473 70567\n10307 15775\n80094 84627\n66669 68146\n4380 74423\n65978 82293\n4136 81198\n52070 88472\n40546 52323\n29548 32596\n28268 82118\n8180 55979\n14038 16706\n24957 60836\n32734 46133\n29189 47561\n16265 30965\n35967 36820\n11851 42772\n31541 32413\n63970 83850\n571 38701\n92970 99046\n36445 71035\n6253 6466\n14211 36493\n27824 94231\n39111 90437\n28902 87579\n65709 94611\n12157 28280\n41401 45476\n59046 60046\n9131 33947\n81088 85269\n44081 84117\n18648 86559\n3143 48784\n474 55157\n2912 79052\n46533 52910\n25210 68260\n3449 69277\n4591 43450\n53935 80004\n34612 44139\n5404 46057\n59875 61348\n65842 77883\n3743 38622\n4852 29422\n70672 82549\n52852 83098\n33295 96979\n61242 79116\n37618 66677\n5176 82100\n40993 66834\n41814 48686\n26370 65807\n5108 87031\n11112 56309\n16031 18268\n6379 49739\n43301 97276\n71922 90483\n52747 53224\n35566 64536\n85448 97475\n33265 53099\n9781 96906\n22599 81794\n89120 96711\n5689 27518\n2012 55486\n42790 70102\n28828 79894\n29989 69959\n26471 33164\n46593 72257\n84703 92705\n44094 62508\n25076 95860\n35925 66259\n85144 98031\n2681 24574\n3325 37381\n639 67330\n3114 17414\n52821 53067\n2159 18547\n21525 82115\n8538 82975\n27339 28783\n21147 54911\n67018 99474\n29152 36308\n28801 65781\n31089 66934\n44525 80888\n76910 79302\n49179 86095\n12177 67460\n27620 39560\n3851 60290\n32622 56293\n15336 83051\n48869 96361\n22872 56886\n12968 46344\n41861 67661\n83004 96003\n57027 80939\n60102 80428\n20294 58934\n32535 40333\n43945 97552\n13459 63360\n16316 55515\n51606 69877\n40901 51207\n3668 66618\n21746 44085\n15537 32436\n28952 50235\n46479 79740\n1621 3323\n1193 81722\n57912 80842\n42908 86689\n64171 85702\n417 87921\n17126 39466\n40914 63684\n64077 94962\n26865 77442\n55876 66637\n42852 44708\n65534 93325\n7576 68260\n14674 54272\n60834 83863\n68 59413\n56057 90527\n2494 5717\n1524 18971\n26524 71200\n9422 51729\n12891 78123\n13741 78167\n53886 54822\n20180 47646\n9667 99430\n59411 97276\n33664 70613\n43220 75197\n36950 94686\n6087 27933\n50655 63386\n1826 81897\n7854 16182\n42872 59872\n60214 88141\n44968 94938\n9483 90392\n5475 81824\n250 62255\n38924 73666\n74911 90279\n69599 87618\n27677 41933\n67551 76306\n74789 77560\n36423 86155\n25640 84529\n59296 87751\n88242 94315\n3548 79061\n15616 62350\n23024 27271\n11800 23694\n30279 64854\n42193 51917\n9427 60649\n57493 73929\n19697 68786\n43615 77430\n75054 94289\n16078 61641\n37421 63138\n68415 81390\n35375 67447\n65386 85598\n4036 51821\n7348 61053\n25061 66252\n36483 85305\n30211 71532\n1961 58893\n29292 79987\n71603 95179\n16543 32371\n16480 30610\n27689 89195\n25972 44213\n18516 87784\n46113 70427\n21707 85471\n61466 75076\n53482 73851\n58058 63443\n81013 97054\n78266 81776\n25065 70466\n15042 86799\n35101 54685\n30734 59041\n83638 92673\n53814 59308\n43948 92921\n10973 58344\n10642 56226\n4462 6624\n70087 71791\n16856 80605\n4518 25658\n2740 60515\n26201 69187\n66642 85957\n25858 31450\n36942 78039\n16137 87062\n25544 43181\n55783 77589\n27630 93589\n38316 60246\n48282 94156\n64415 79916\n33957 97266\n21953 29688\n82343 89342\n18764 51824\n62908 85481\n51418 55304\n13391 53391\n2982 41521\n74364 80904\n24764 39035\n38564 60430\n15114 42935\n51774 57961\n10012 53258\n35995 78984\n29212 76413\n54021 64210\n44428 46262\n32682 70250\n22019 36765\n58397 82107\n16607 80125\n38255 66663\n5454 73265\n39699 91042\n35159 36685\n46037 93461\n3970 63791\n49559 64568\n1140 62087\n10530 49488\n47587 94781\n29376 30409\n31410 92226\n70837 74291\n42064 71831\n2368 94308\n11600 92951\n42518 51779\n86278 87693\n84018 86226\n8380 96642\n1357 5107\n7615 18135\n31170 85516\n16232 93063\n44486 67691\n54053 68243\n17321 84541\n30296 84139\n23653 47345\n57870 76487\n60422 90211\n2691 14570\n9108 19869\n1634 81018\n11723 23980\n17763 32453\n28162 60429\n4429 27694\n83346 94662\n3733 57588\n32059 66705\n23519 62461\n28726 40226\n71624 72937\n22310 91043\n25308 74536\n21026 44932\n55380 93211\n20877 65363\n1109 4772\n2441 11071\n17173 60530\n68632 69707\n13901 37579\n29467 71582\n19601 42662\n12782 20282\n51336 58588\n44514 87427\n27173 41613\n64538 67856\n53249 75533\n60060 97101\n68071 70883\n2911 57420\n37056 98999\n16531 18964\n75083 98049\n18974 38806\n11811 69245\n13012 34134\n57348 84705\n26133 39368\n44669 49829\n82284 84004\n48333 82101\n44975 72397\n3058 18887\n39231 78230\n50609 52209\n25061 66987\n35929 41664\n85260 94854\n16189 32012\n17237 65346\n31440 84644\n6420 72809\n6682 42440\n9729 83095\n13312 16084\n19074 53325\n40524 80994\n62769 84230\n18454 37353\n47148 93463\n33341 82622\n87648 95299\n33675 39503\n59835 61989\n82959 87080\n47260 78199\n1744 35568\n12254 64031\n1696 37172\n13438 25027\n24631 73480\n31381 78737\n45603 95796\n16521 46174\n113 36818\n28163 72038\n65587 70514\n40624 84547\n62083 74816\n22172 72652\n42680 53407\n68192 68690\n33596 44452\n9473 13382\n27941 28935\n25056 56884\n57127 64720\n25987 57022\n8819 91466\n15044 56001\n23798 61846\n2195 90029\n29610 51763\n13524 83532\n8306 54261\n88535 96361\n12456 44306\n20702 41961\n33720 71364\n64200 91446\n26908 48976\n39468 95012\n44881 50320\n2792 20344\n61134 69806\n3388 7337\n77395 81043\n62150 80901\n22846 52633\n9429 95709\n7901 83840\n29873 93889\n89915 92092\n7639 34824\n12779 70409\n26635 90427\n46366 70833\n43907 80556\n3175 88339\n41143 62120\n3083 22384\n316 31363\n60432 87799\n26200 54232\n32659 45172\n2721 8049\n49067 58343\n63238 65396\n69549 85043\n58275 95920\n8966 54668\n22220 36074\n3145 5061\n6894 47564\n8954 79250\n10879 48365\n71188 92215\n44899 69764\n20226 29134\n5902 94126\n37894 70801\n33319 71010\n49223 87305\n78544 91357\n9416 68094\n21107 28714\n76223 96458\n54315 58059\n37218 38997\n62066 64623\n7951 85495\n87784 92815\n54139 64556\n81364 83133\n14712 70600\n36969 69482\n2902 37272\n1 7196\n43536 88597\n60617 84440\n55829 57555\n59546 77090\n10383 29885\n24224 40772\n13949 99409\n71182 77677\n9443 40790\n76523 96852\n46360 97804\n31160 35005\n38081 81120\n32974 87323\n600 28795\n45010 82486\n53987 65819\n49429 76814\n1331 7663\n37934 98248\n67012 76847\n67381 78013\n39946 81894\n38316 42593\n13203 70433\n52557 74120\n14137 19020\n57185 84831\n13668 29817\n29354 47225\n52705 56994\n1941 37373\n45926 72909\n54768 78886\n8144 64879\n19563 26247\n68929 91835\n53930 61598\n45854 63041\n10403 80769\n48765 94584\n47284 86237\n16734 80051\n31287 69268\n18 9962\n1533 53643\n82108 96938\n68289 79562\n27170 78784\n15472 52669\n51093 79244\n68152 91151\n39315 78589\n58122 82716\n18971 22888\n68812 91809\n41219 76411\n80451 88085\n27 59426\n64079 75731\n79783 81074\n22018 74319\n15116 55582\n52187 83820\n1723 85670\n36945 56573\n38001 84289\n2907 77232\n26931 87823\n5917 93417\n41019 51731\n75196 92537\n1256 47602\n62527 95977\n27221 72444\n1140 59471\n62685 87500\n19905 91468\n67871 69546\n55022 79875\n70160 78728\n611 46626\n56517 72882\n31025 64325\n1665 63538\n7660 68020\n14537 31894\n72352 73473\n31488 33069\n68214 76505\n69234 71925\n45143 72857\n5714 66580\n74887 92625\n24271 54247\n42261 52941\n6302 50272\n36393 59988\n3396 11189\n21308 80867\n41336 53220\n38570 97673\n7115 42895\n9452 37797\n22535 64533\n60437 78767\n80834 92515\n51315 99571\n15095 36825\n42482 64114\n41099 78298\n39135 80130\n21246 42823\n53125 96033\n14932 52488\n86611 92760\n5608 89516\n9085 22537\n58140 92514\n35780 81210\n1460 7513\n25582 54723\n68567 85512\n56163 58230\n48397 74770\n18479 73988\n14133 49987\n1840 27910\n28534 43630\n30315 91529\n67259 67549\n66281 66558\n10729 87184\n11669 35270\n40272 60852\n1152 64189\n5226 30316\n63997 84874\n883 86316\n51084 55228\n33485 78192\n40536 85977\n13292 20453\n30184 86905\n66344 76728\n13259 66094\n2623 49792\n48189 66027\n41248 77685\n3508 45285\n26509 75123\n34088 38214\n28439 93181\n46659 60695\n55539 69513\n17698 92912\n36899 69814\n22687 33426\n11464 88006\n60512 95344\n50276 78113\n15364 94725\n54761 87619\n18442 37379\n5144 77747\n7765 44415\n72938 87387\n12422 50933\n74613 85224\n30834 81488\n26211 79054\n21846 58929\n44536 47697\n73384 89485\n40303 55832\n29082 90623\n56041 87010\n41115 80009\n27045 55582\n1398 65958\n7383 35758\n64879 73019\n20937 56141\n3770 68149\n53172 84344\n18844 33693\n9814 66791\n60441 79161\n52481 59947\n21929 25902\n5166 20768\n57107 71639\n6935 37003\n28518 69786\n2044 21725\n69833 88923\n11971 98510\n3163 58716\n32597 81124\n31827 92167\n20929 82825\n11214 23528\n5134 45393\n12169 46015\n43789 91346\n22077 58890\n35257 58798\n12484 90745\n11011 90349\n5249 52477\n40213 40696\n237 18976\n27784 55902\n9258 16067\n40505 70971\n45354 96005\n66047 79756\n39941 96781\n46726 56820\n75288 91322\n83513 95295\n20228 48748\n29590 37033\n82318 90758\n34788 74857\n59433 90966\n64962 84837\n50121 68848\n2362 17030\n378 5180\n30656 68433\n17565 51195\n71955 81154\n53501 91524\n45481 86853\n9605 85583\n13395 81783\n7728 52769\n35941 55876\n57319 99640\n39220 71571\n17771 25609\n28040 65625\n22415 82456\n21374 24016\n14569 34258\n39067 94207\n33839 47808\n42980 60684\n32377 87501\n69948 71854\n43176 57014\n4303 30440\n66229 74814\n27128 32233\n19838 88614\n12979 73426\n25334 75285\n1286 78452\n46624 74545\n37468 41922\n67931 94475\n12796 41805\n57210 89883\n36705 87181\n75298 88719\n59208 77765\n68593 92867\n23204 43728\n62443 80251\n56810 95147\n15009 95787\n3177 4465\n15472 16622\n9804 33575\n13260 21651\n41256 43192\n21877 69037\n5928 12578\n54366 54590\n81473 87966\n23016 28142\n15749 52655\n57273 97909\n21302 79907\n35068 54170\n5158 68189\n1153 37528\n38743 49299\n20296 30984\n46082 78977\n374 84144\n6895 9323\n46439 91252\n76059 82851\n8320 9104\n18915 78151\n31298 50014\n14954 77389\n67361 73593\n40502 65224\n70387 79912\n31785 58236\n62510 91282\n29982 77670\n6901 24182\n30361 55497\n4464 10871\n8909 91477\n15801 76069\n22201 79781\n7645 69225\n40099 79618\n36738 43737\n28045 59018\n70680 71322\n38376 64547\n75161 84140\n40739 68654\n81297 87488\n34430 35542\n17519 61215\n51078 61921\n23103 65866\n70947 77547\n38896 66509\n37095 76021\n3471 79311\n56674 81431\n72197 93631\n17448 48190\n16530 68751\n30957 99023\n14862 33584\n32292 52473\n2965 40981\n47993 62889\n77734 97860\n29555 72405\n2535 62910\n16492 84752\n57395 88043\n58823 70610\n2036 82131\n59817 74974\n4136 63014\n49354 72427\n41467 54969\n10581 81443\n64575 65075\n26803 53560\n75830 87107\n44389 51078\n69114 87449\n60592 63722\n10621 20502\n14703 18762\n14224 38116\n1644 2759\n7243 60256\n16642 37110\n2594 31349\n18427 45254\n47406 62654\n42601 44794\n17338 89544\n21928 33450\n4806 38119\n8368 64056\n73467 82540\n13955 49389\n47679 55791\n23095 91244\n56041 74553\n11877 75745\n54104 88403\n2500 52278\n6715 8460\n9081 57480\n9246 43324\n32793 81289\n26998 96680\n12302 30804\n25196 66976\n41928 88770\n80018 84332\n40277 58630\n73332 80034\n71911 86053\n45272 66241\n76430 92629\n86004 88330\n63345 79905\n29289 85436\n66645 69116\n8524 26848\n30640 41654\n47230 54366\n42461 96737\n3069 62656\n19456 68455\n5223 34652\n28035 64370\n15075 80368\n74093 99509\n3424 73722\n37990 61346\n97452 97614\n47990 72043\n268 45482\n28524 69582\n61750 84636\n62268 85286\n11452 84765\n55799 90896\n587 81276\n22901 29173\n84295 92722\n19482 53235\n4007 13915\n79697 83716\n7893 37613\n47036 48254\n71511 94576\n69365 91361\n86603 99754\n49088 51160\n27585 51472\n40021 48037\n56493 95592\n54706 83586\n13153 49675\n41972 65586\n66169 96760\n41952 59052\n49108 61211\n19898 33723\n24615 68768\n31939 40974\n16219 31004\n59812 74021\n12349 67482\n67517 82376\n7391 29898\n83523 87204\n8602 10658\n1906 33959\n42888 76567\n31128 33084\n28962 53913\n14081 15268\n14326 35406\n31416 60662\n26520 37453\n1844 42087\n14805 54161\n26659 63476\n31881 34377\n7170 26291\n32638 78598\n12480 57500\n4092 44975\n28838 91727\n28318 37015\n86961 92432\n30028 52384\n29862 86272\n47535 72350\n15215 16735\n56699 93092\n18569 25699\n6866 89455\n33082 86978\n33948 78237\n24170 41884\n30829 68402\n2629 47362\n10258 42436\n83512 99873\n25152 36942\n54441 94134\n6363 64898\n17231 70875\n19804 24511\n23223 72509\n43819 98376\n33225 89615\n49612 57962\n6888 9444\n2363 49356\n82079 88144\n51441 95364\n33669 74362\n64315 84416\n43834 47580\n37557 61742\n45213 57340\n25948 92324\n3059 89401\n36739 96675\n3538 22827\n55449 76933\n83627 96424\n70409 74269\n8658 30950\n42753 64349\n40883 67267\n82770 95237\n15156 20766\n35526 67789\n45180 84824\n60151 92782\n32935 42042\n21190 64607\n42918 59672\n36717 88171\n90201 97128\n65032 85031\n52263 63755\n5172 26233\n2130 14350\n683 51291\n10149 48253\n6899 29913\n60311 81167\n975 1189\n65558 89606\n35680 62388\n38900 49452\n38523 51796\n11722 34956\n1967 28346\n41473 65367\n52484 92419\n14404 84734\n53413 73893\n23971 90324\n13766 23792\n26558 72869\n11365 90878\n43507 67975\n40540 95085\n19585 55009\n53125 96250\n34919 41816\n16190 71210\n81265 91106\n49090 71102\n12003 51304\n55013 77363\n75655 83042\n32720 44982\n17804 59614\n2710 7738\n802 31321\n63551 75096\n68987 85964\n74729 94243\n10166 38210\n15849 16401\n37437 79101\n68708 82653\n93363 94623\n17390 51968\n74026 80620\n71023 80520\n13011 86053\n22133 34751\n11174 87282\n37096 62320\n49169 59753\n12958 52237\n25997 31953\n8034 35860\n5464 47377\n53894 61924\n65220 96378\n65441 77841\n27957 73172\n18796 84523\n4253 64645\n31803 52777\n17759 21161\n40738 51217\n86492 91112\n52295 58324\n6650 81873\n3664 55057\n22497 75778\n2232 94392\n6375 27643\n40013 69139\n33185 88370\n50754 73476\n70243 72283\n8905 91032\n3670 92554\n419 60151\n45028 83319\n50275 96609\n10840 67084\n33182 40525\n49451 85985\n4787 25634\n26760 71329\n61202 85578\n85992 97136\n74294 91078\n24153 48415\n43509 82668\n3526 63349\n34563 57675\n37106 81540\n34668 73346\n14749 56070\n9898 31825\n60545 66733\n7795 90720\n13026 20999\n80146 98167\n56946 68633\n55710 71851\n21996 56335\n56419 69141\n17720 41871\n7296 16933\n5736 83138\n14338 54823\n19603 87628\n43938 75604\n36964 86073\n88445 93182\n37737 89661\n6836 66468\n11199 95754\n26725 48180\n41788 43131\n18296 43860\n29165 95925\n17430 53457\n27109 76427\n37030 89583\n85218 94081\n42740 86790\n77261 86867\n40578 50279\n59081 87419\n72969 85637\n54715 57766\n81929 84735\n66594 78919\n60692 75687\n3530 68059\n63450 70369\n5646 8226\n11213 25607\n36426 71355\n65496 93784\n17277 94322\n985 3347\n12674 89924\n31445 85500\n42732 89851\n34820 47024\n40012 56177\n36964 56321\n28370 41040\n11611 30814\n17494 77544\n31955 68094\n19765 31357\n32874 75196\n42244 50837\n39604 67349\n60944 63337\n3375 39497\n16912 94540\n11871 82405\n46223 90220\n34452 94664\n42517 63588\n35222 99430\n69315 93528\n56222 78439\n24037 77592\n11534 14772\n11544 41620\n9597 61541\n15195 79759\n67901 76596\n61002 89084\n29908 45831\n45207 73703\n88286 99660\n16515 81645\n50383 69280\n11689 38401\n1953 81463\n10170 63028\n48929 92260\n51423 89798\n34098 49910\n18742 54126\n75290 97967\n17808 50688\n21113 73887\n8382 60926\n17921 56571\n52331 99062\n3783 41941\n2761 73268\n3300 31258\n24680 28641\n4382 6381\n11468 44195\n49382 65716\n44597 62462\n88152 92914\n76119 99621\n1956 77233\n17714 81744\n3916 87921\n4679 60722\n39762 75572\n27978 45090\n34032 41046\n17816 85185\n41142 59728\n71982 81240\n22167 90340\n39974 46039\n5709 99733\n39239 47069\n11996 86610\n6751 91132\n12698 40989\n7795 20329\n49520 95835\n24861 84722\n63398 85645\n16594 18410\n30134 41569\n9528 35404\n19365 25160\n81975 87743\n20018 52011\n34549 48836\n14313 51912\n6560 38549\n17766 42578\n66934 87976\n15737 68050\n32172 76256\n23916 76481\n25030 35080\n48371 62698\n43126 95542\n38624 68982\n55506 91389\n42687 76470\n55618 69927\n52224 74124\n15550 32189\n790 23686\n22978 85794\n7423 27281\n48113 85197\n8301 18406\n6099 10771\n27195 56390\n35624 67754\n50645 73799\n48398 63173\n15609 85974\n12645 41599\n68545 92262\n51753 60694\n24739 82621\n9370 85178\n59858 99205\n1507 18783\n34442 65520\n6876 23011\n68825 99842\n10567 15862\n39186 71964\n42226 91125\n8208 38733\n55227 99296\n47318 82348\n25854 51593\n66502 80572\n46814 66580\n50470 85609\n14895 37278\n54609 66017\n70409 91926\n7267 40801\n28674 63906\n12327 65968\n32031 85922\n43955 93459\n36686 46591\n91797 98962\n62779 91180\n1768 30435\n19380 76380\n24051 61655\n44055 47975\n59516 65088\n11959 93852\n19842 79534\n10396 95898\n84764 90906\n73067 75187\n58236 65126\n24155 36077\n16478 88031\n29851 39444\n48516 67726\n1807 32021\n37951 65024\n3143 42380\n10956 37679\n7701 68010\n29694 97811\n8802 49484\n56079 63037\n11945 47099\n7104 23538\n9663 34602\n12438 40629\n34168 88596\n16772 67551\n30136 93376\n14166 54776\n32291 56205\n8705 30580\n7875 48525\n49395 81070\n32638 96953\n55521 64396\n51667 67967\n16400 77712\n40111 59717\n11041 41643\n46885 61569\n72630 85576\n25967 69808\n71896 80923\n14136 19113\n23658 29093\n7205 88913\n36997 44238\n42206 46845\n17176 80143\n55139 67241\n10558 97757\n43335 56001\n16415 79367\n18621 39914\n68295 68469\n48554 76526\n52034 63717\n20226 91753\n42639 67301\n29864 72441\n48859 88458\n38107 55571\n30398 30872\n66156 77519\n47006 69100\n55672 83049\n1442 20364\n34867 85103\n21214 38908\n51342 71176\n77860 93266\n25132 94074\n51857 63100\n1042 27191\n18598 98386\n15549 16393\n90660 96176\n14624 81305\n28031 36928\n31816 89353\n23566 98456\n45812 79529\n28875 53260\n14601 49163\n27278 32810\n57223 86965\n42771 96173\n67079 89602\n38763 77254\n5059 82853\n78074 82194\n8612 77267\n712 60345\n91673 99382\n40229 69787\n4166 96670\n56394 76236\n61486 97633\n69364 88163\n25700 77636\n51801 58453\n17185 89171\n42918 65207\n36291 66627\n13119 41452\n41419 78564\n34619 35065\n44078 55810\n4892 29584\n67981 78233\n50679 79547\n5557 45869\n63126 81011\n18184 96929\n45148 82809\n26204 75301\n17074 31140\n22838 74971\n29859 76612\n4440 43283\n88941 93140\n6402 91369\n33052 93770\n61516 93628\n51858 63325\n26519 37373\n13155 27965\n30777 44436\n35424 45723\n68619 71124\n13559 95950\n6384 89060\n51763 69008\n81381 91207\n52449 68211\n17091 28794\n55304 79624\n7898 71336\n73723 75227\n5700 33343\n8014 97482\n18925 92314\n69765 80636\n837 19446\n52065 81649\n8542 74202\n11289 57444\n16117 97397\n22122 76384\n43203 66380\n10390 27890\n2 32570\n47663 54793\n33616 61375\n44366 65315\n21301 36203\n53096 87191\n43454 84042\n8741 52961\n62587 69333\n8683 66255\n1432 69836\n25990 68755\n51994 72043\n16956 51919\n24390 46707\n7813 94061\n85279 97398\n51159 58793\n5932 96219\n3212 46804\n32876 75681\n7281 72912\n22871 76305\n44311 57170\n28262 48046\n52451 59682\n1849 88081\n34897 38132\n10987 49570\n21064 53948\n71992 79795\n48868 71806\n15056 78266\n30628 67107\n69372 80338\n746 13367\n24198 83953\n80943 81625\n13202 37196\n48848 68495\n11619 70819\n15903 18662\n4170 84627\n54619 65462\n33732 49057\n1484 29988\n35685 99712\n25687 55688\n61682 78987\n63036 81818\n40888 56462\n47151 50253\n30469 66556\n87379 98402\n32996 99318\n74766 88394\n57895 72244\n18061 80027\n28874 65716\n2577 16099\n9874 43364\n15902 83251\n53548 58517\n71979 98947\n22481 72446\n53193 58289\n75298 90945\n36516 79825\n25851 82977\n35191 40997\n20219 88905\n59549 67372\n21583 99977\n4262 54290\n7966 81157\n15740 79142\n64984 85325\n2987 74333\n55177 59697\n49880 69564\n89701 89799\n56674 87741\n34212 88283\n9655 39064\n11790 65140\n42279 95667\n1512 55452\n7732 48236\n20321 28483\n27338 60428\n25905 82022\n10726 19111\n60055 88737\n44593 50182\n57190 67414\n28494 41235\n17340 49942\n28086 71581\n30277 75767\n79697 82075\n26243 83196\n14118 91240\n56416 98325\n16093 52415\n44918 92514\n36066 36944\n55064 71756\n24519 70917\n15066 27667\n75277 80637\n17400 44109\n2555 13795\n4974 88783\n70867 93910\n15058 43579\n45324 65289\n85642 96127\n64868 77280\n48583 81279\n31010 43009\n3830 69868\n21291 27677\n38502 42868\n16525 39070\n7552 67197\n49044 62614\n37325 66230\n16155 53969\n32333 70613\n22398 59096\n41415 55386\n4384 30810\n28918 31156\n8101 12148\n27927 79380\n63916 70725\n7549 24054\n51362 56945\n7013 98445\n25006 92694\n49586 88223\n8183 73628\n14990 24792\n45204 46648\n50587 97903\n5205 70167\n30133 81052\n35481 98996\n920 64714\n81639 86323\n50927 82671\n1400 30765\n22892 83699\n15654 93876\n44116 97324\n84161 96625\n40541 71361\n63349 86745\n47571 62776\n5086 80138\n1024 59203\n11126 22860\n29556 41299\n50104 84248\n28809 79044\n48335 65054\n6853 27103\n16614 70650\n76671 89716\n38528 99298\n36297 72477\n34124 45949\n14905 58262\n34122 66140\n63563 72103\n1732 37317\n22655 68565\n29415 40369\n48491 61419\n27665 53926\n17863 55309\n30997 34626\n44727 73133\n50798 74612\n13551 63582\n11484 91820\n28371 77073\n12079 45895\n40608 50234\n47796 76842\n72803 87146\n783 11748\n12732 44702\n27652 70523\n34976 54024\n9280 45763\n7007 92244\n11354 18057\n33944 68308\n33657 87802\n29969 90989\n37381 77390\n44121 48754\n12478 50340\n21148 63953\n17126 32589\n12226 82529\n12758 18075\n11239 96926\n8092 56987\n36082 87431\n5452 81213\n64495 87286\n11809 94708\n40812 66298\n52910 55774\n50587 84466\n25466 84844\n65019 74037\n33556 69642\n24596 34898\n46087 87259\n86772 89802\n31274 91937\n18318 91609\n19634 64724\n46641 87092\n1587 53891\n10604 51365\n8506 80812\n84108 90803\n51140 54163\n35975 54407\n14520 80648\n8196 29182\n5310 18296\n4794 63054\n3937 16436\n32107 36702\n10735 90865\n38245 56578\n2815 80126\n63525 92548\n16048 99789\n29302 55008\n86650 92098\n84507 94869\n27535 83899\n69986 97760\n46388 84422\n25603 30177\n1029 5915\n39829 83974\n4112 82082\n20282 75257\n20014 47684\n37925 92215\n10866 78521\n22131 96495\n18535 85125\n37324 60354\n63600 72105\n45947 71844\n380 73500\n2769 16315\n54127 65571\n3123 93602\n8698 18342\n1851 31179\n40183 91390\n6833 24849\n10450 21811\n87112 99423\n39531 50989\n807 26556\n15094 30916\n1951 15638\n43142 85303\n38529 85076\n78436 80286\n26344 98770\n39314 76515\n54571 60041\n18892 79500\n22981 70642\n17645 49387\n62251 83805\n3584 98682\n21300 48831\n19352 78587\n83723 87140\n28047 54467\n80874 89195\n32869 90919\n46920 98605\n60708 80279\n39155 42766\n12818 19578\n13798 33744\n53969 97914\n57336 84892\n17337 68500\n11790 93908\n70106 94836\n75506 98389\n32794 74649\n29569 75309\n60878 86280\n2878 73456\n30811 99855\n16179 32110\n68140 68409\n9112 71872\n12115 85602\n20563 74040\n92786 95039\n34472 68630\n38843 95259\n69967 84944\n25030 47032\n45981 85748\n51209 60426\n15534 36034\n4833 29491\n46201 75417\n16973 31098\n9736 67457\n12655 61921\n32590 84831\n37656 71303\n31757 42369\n37045 93477\n64148 85521\n66339 77948\n24609 60238\n54471 77124\n14698 57902\n71833 72911\n11087 19316\n29537 67554\n12502 95064\n45988 62704\n32148 45294\n46276 94158\n73734 87763\n1229 79859\n42284 88560\n51280 81449\n19068 93751\n24074 65942\n79169 96055\n33056 90621\n43552 71515\n23630 72484\n50777 78370\n49266 81920\n13579 25619\n47061 98024\n66828 86430\n37508 85944\n9679 39162\n31474 45345\n15609 32073\n23016 33522\n17041 63825\n42885 56996\n25181 89711\n10217 72406\n753 81599\n8476 54459\n73871 99213\n1107 74132\n5892 95671\n60364 65540\n32121 74561\n45545 54266\n54958 65424\n11904 80236\n9735 34271\n52038 86824\n44760 84411\n43072 96882\n64143 69548\n69561 87026\n48647 80418\n13829 24086\n31791 58243\n19785 61574\n4537 56484\n3817 55511\n14564 21919\n1860 18946\n4800 50507\n10870 38571\n15123 31354\n3256 76794\n1104 1986\n47966 88286\n46755 67305\n11234 65425\n18994 75209\n67065 81334\n14576 50351\n36621 46267\n79378 79977\n25586 33663\n8138 8621\n1495 55413\n13458 95281\n26286 66277\n27068 63584\n24923 28325\n58023 62962\n3645 53024\n11689 95773\n69471 70810\n7351 44671\n45078 88136\n23193 26639\n3930 82505\n51867 99060\n21993 26899\n17339 94900\n1742 46927\n28380 59173\n61883 65060\n18827 98147\n28356 71934\n30468 79435\n25069 86598\n34484 74347\n25187 79174\n6211 40449\n32280 82513\n67194 89667\n33186 61518\n22932 26314\n61722 69146\n57930 88445\n60201 95646\n37536 55801\n60050 72830\n76821 86997\n47567 61341\n9110 70766\n27340 80459\n56322 97584\n8623 26988\n10795 75315\n64885 75521\n43201 71484\n59102 96699\n52798 88964\n3875 48280\n50964 98874\n70779 88456\n9661 74281\n30441 52404\n42688 71882\n28247 69058\n5096 10719\n2688 62263\n30332 52903\n56168 73495\n27781 57416\n28687 76069\n26910 41307\n23476 57489\n5037 12462\n32434 61223\n43728 50866\n41187 79772\n27769 51252\n4061 91069\n53158 95333\n46014 85557\n8798 15627\n17975 50349\n8435 55502\n6687 30895\n17405 66501\n32091 40273\n66023 94415\n61805 88835\n48045 91925\n48940 61863\n57875 82687\n3456 98809\n19941 72398\n148 20525\n84066 98402\n14095 61031\n53607 94746\n5805 56624\n56005 60797\n14144 27159\n62047 74134\n311 37355\n46961 80854\n15001 53783\n19346 41575\n42606 69581\n64710 67144\n33374 33440\n60376 72817\n42660 74531\n40451 45225\n6620 90414\n27968 75368\n24972 37267\n16559 91408\n21187 72617\n9583 93548\n5401 22640\n19171 44538\n67909 93005\n23554 92312\n66388 82698\n55291 92202\n1849 24954\n39253 41543\n74320 87072\n15353 85665\n15741 79646\n32568 82654\n6881 75680\n30330 88045\n63400 67470\n9484 61010\n8472 48861\n33307 57015\n4961 33362\n57188 97907\n44125 97652\n59833 86025\n49782 60736\n28946 68264\n2016 81739\n22561 57242\n43161 54121\n40902 68140\n25663 81407\n5662 94728\n76889 91091\n4186 23130\n54260 77523\n15322 66622\n41397 51936\n48596 73887\n29915 74004\n35609 83209\n26409 99994\n10716 61634\n32278 70270\n57687 76853\n86683 97723\n67050 70749\n75399 77862\n12203 97601\n5315 29712\n10421 49060\n28767 32651\n1841 26302\n12830 81924\n39647 74165\n6904 65416\n9858 60786\n54251 62822\n24759 47348\n5685 15817\n1759 25033\n35318 88357\n39322 73545\n46066 61746\n23864 55941\n66373 84672\n86050 93761\n52806 61003\n49051 65472\n8838 41057\n82450 97796\n29351 90491\n105 8739\n49598 56638\n26110 58287\n14098 45893\n30793 31342\n29256 54804\n15143 15928\n36520 43889\n70707 90840\n26926 79971\n25641 44420\n58595 67113\n15223 67678\n1575 74482\n1429 49843\n30324 89642\n29496 99793\n57470 95132\n8225 70329\n11287 29634\n57140 86643\n27588 83095\n55743 67156\n18078 35980\n33719 90493\n15060 81527\n41984 44604\n48578 81958\n20068 63718\n7820 73851\n57320 97310\n789 28327\n19173 72745\n25131 72533\n3765 58240\n37530 87127\n36050 87793\n47874 66021\n12367 99646\n8429 26967\n10449 80899\n12390 68277\n73777 83267\n37945 37970\n62136 62867\n80025 81363\n39970 76856\n14768 36825\n10493 63265\n8508 44591\n2650 20941\n12077 75316\n11810 84034\n2079 13473\n81775 96017\n58236 71007\n34639 85671\n15303 97665\n22179 70835\n27121 53000\n74688 74965\n2699 81427\n73253 77724\n4009 79598\n33166 43551\n84099 85191\n29269 78626\n14452 82087\n15349 95785\n8480 97585\n10310 26768\n8670 25309\n89171 98636\n41524 55318\n11870 17050\n57745 95722\n43165 87037\n54729 57407\n11449 82465\n19663 81513\n30555 95640\n18068 47516\n69286 96877\n45113 98657\n23636 66752\n12157 60063\n6811 54630\n50210 91638\n81221 87327\n51245 71373\n33207 64595\n7735 45630\n67400 92782\n78300 99393\n10349 40944\n21876 40927\n57541 62376\n81038 94400\n9072 80473\n16921 64238\n26122 80270\n19942 92040\n80316 83376\n68724 76954\n20878 26543\n14471 59981\n32128 80782\n14286 14536\n56942 82368\n52541 69026\n43255 64810\n1904 57740\n42007 71535\n9572 93834\n46376 86921\n31685 82160\n61214 61292\n25450 31421\n1469 75197\n16387 50749\n49959 98507\n74415 99760\n62189 63013\n53731 63197\n17844 81891\n11528 21615\n1441 98048\n20619 53537\n35182 72477\n37576 65124\n36409 54191\n47258 72362\n20259 33694\n32117 46020\n55519 61958\n25230 52569\n68175 70681\n30166 34870\n29057 98900\n74899 94230\n35156 44886\n58406 99534\n19232 63660\n13283 65619\n70133 99932\n71603 85780\n52837 93060\n48194 85085\n79392 95739\n49621 97146\n35277 39518\n27795 78111\n42504 65148\n21564 79289\n58480 94675\n81754 84273\n40022 48898\n13988 98987\n13188 26969\n75373 77741\n5667 86999\n20377 88029\n67138 71809\n43444 98020\n27420 95545\n8616 33175\n21344 26063\n8054 63203\n66258 69795\n35057 66354\n65989 74107\n47997 98792\n28452 43303\n23622 99294\n870 51193\n354 36749\n90386 98744\n30520 38558\n38017 94892\n10362 57377\n27406 81297\n23 99516\n16609 80193\n18400 19096\n4410 20462\n55113 65600\n96663 98248\n85554 91790\n20237 86212\n56838 88122\n76658 78589\n35647 43166\n36321 65967\n26723 67356\n46966 92822\n37964 46759\n64148 77637\n10748 96873\n38666 89606\n50168 57170\n32983 61325\n56151 79038\n39949 73022\n28764 47958\n12146 61235\n17352 99179\n9857 99562\n18470 83908\n12667 50343\n52306 96981\n42917 99391\n3619 45987\n74679 91972\n82206 91673\n15423 59141\n10006 92870\n13525 40892\n74052 77488\n56089 94599\n32889 32982\n25428 72147\n22702 80103\n74579 98606\n28995 73662\n77937 84751\n14864 81327\n42621 57296\n45256 87657\n57080 74251\n3755 57605\n56450 90542\n32887 62151\n13051 62457\n28710 85783\n27296 92887\n4826 30298\n3688 43647\n1454 59117\n22048 24811\n27900 96779\n577 71625\n74692 98039\n60443 66470\n76976 80190\n4301 16810\n41000 87264\n14113 60755\n12261 53900\n31494 85622\n10769 82567\n55256 69467\n39395 45283\n84107 85673\n24035 94687\n5826 34630\n17407 63571\n5497 70815\n31330 68188\n4546 84646\n9423 34163\n94636 95676\n16328 21585\n13158 19110\n72269 80023\n20512 27477\n54999 88980\n51340 82781\n86510 88037\n51626 66577\n16466 70257\n17583 75550\n25575 57727\n36945 56645\n9442 57034\n81934 87336\n33719 92700\n79838 83174\n49583 71062\n25035 89963\n39272 73722\n36419 85775\n24559 96774\n32205 57906\n66709 91587\n77607 79560\n17690 43956\n66291 77938\n20483 33038\n19201 93897\n20167 87657\n5334 49655\n14024 44363\n3946 27111\n21387 73777\n64034 67842\n43478 51807\n12878 75158\n11184 84684\n72266 81122\n80791 84613\n22279 60974\n3731 70901\n5208 19410\n39592 75167\n57154 62316\n78904 94125\n38708 42180\n57193 75694\n28323 42984\n682 60405\n461 25599\n61176 97906\n40446 50080\n28441 75034\n73151 85362\n4418 49433\n11320 90122\n6474 33357\n33317 45369\n87468 94054\n4658 71168\n23478 32952\n90203 92135\n73967 84171\n62148 95704\n47572 98652\n60673 93682\n35181 42456\n42035 58906\n25410 74583\n34020 36068\n2250 96542\n14397 95460\n48075 72372\n4718 66006\n54026 54064\n4778 41251\n87308 90490\n5100 79875\n22378 62426\n7941 70548\n3107 81720\n51937 84464\n31007 47556\n60403 63326\n37663 97378\n4077 79680\n73663 98113\n64437 66195\n13937 45126\n19345 74707\n29140 41615\n32432 42611\n33871 69887\n32159 81646\n44209 80813\n2286 21604\n50771 72867\n20396 42576\n55073 98912\n38539 57929\n27921 93532\n60916 90440\n23727 53385\n45566 94695\n38095 43289\n4093 35991\n27227 30552\n28824 56107\n32578 44188\n42430 64361\n27202 46855\n42882 70785\n91431 95702\n11185 97393\n26056 28356\n34711 88005\n60251 67871\n19159 68992\n7107 28825\n23841 71241\n1152 13307\n55729 82745\n53063 83820\n54862 75846\n25480 46956\n2595 23013\n42763 92064\n8909 65744\n5618 96407\n68804 92567\n28762 78591\n28198 52232\n57079 67088\n12118 56325\n2273 76854\n14052 86733\n7490 30134\n6298 84246\n18799 81059\n79284 85056\n25355 59232\n87790 87871\n62052 64787\n24365 25160\n37132 71369\n71079 72335\n11462 54149\n16903 93060\n5833 74029\n28798 59076\n50386 64494\n23104 60807\n28790 63326\n267 85225\n6739 69757\n23429 61463\n18862 40803\n507 67876\n69203 88049\n18023 68566\n84461 99786\n54784 59950\n68588 90618\n36022 52107\n49909 51981\n61804 99303\n28414 72795\n34159 73643\n50220 55229\n13671 35515\n4679 19439\n32253 89799\n29876 95374\n17647 72045\n21866 48810\n80810 99997\n14663 78491\n7331 88943\n29841 85478\n53518 62975\n14366 20425\n19225 66670\n61718 63855\n16428 23193\n4483 52173\n41202 83025\n13499 18098\n14638 80467\n77716 96715\n8288 45563\n32764 68148\n17801 89739\n29088 54831\n73296 94801\n39495 99322\n40545 99018\n21266 50851\n20136 77950\n82225 84669\n5623 34525\n15840 25996\n14840 66021\n6932 87741\n30202 67709\n1515 80098\n81669 81951\n19217 25303\n47316 87144\n41454 81581\n9034 39628\n50575 53198\n76758 92576\n31066 64692\n9415 52439\n21176 88578\n27702 92836\n27669 40575\n12321 83628\n3106 93265\n10680 85212\n50584 73784\n42048 81111\n1647 19417\n6759 10416\n31004 69930\n25801 82145\n29213 95346\n56379 59737\n684 43441\n66432 86469\n37902 63803\n80879 90357\n50320 92537\n11807 98409\n34398 58394\n54417 87642\n58411 69571\n24266 36765\n11451 23186\n5219 87290\n164 63887\n12920 54728\n57268 58695\n3542 73170\n79935 86409\n66388 93268\n64988 75634\n7641 41552\n49051 69807\n31478 66389\n8010 49788\n21798 85518\n39257 78848\n47168 59888\n867 69177\n1479 33474\n34132 87787\n14763 40465\n27941 35519\n85888 94385\n58192 61598\n16882 38385\n62448 86722\n34180 98247\n23282 45956\n28530 90566\n12188 98252\n3776 70639\n60423 63176\n27890 79951\n1186 25118\n43963 99881\n5807 85273\n9651 93210\n621 64170\n1085 21810\n1341 99716\n22537 80700\n43650 54474\n15405 72293\n60054 97329\n52773 97030\n3557 93177\n9109 26457\n37351 45576\n34599 54180\n62637 76556\n9232 90309\n33260 70942\n86513 95845\n20294 42024\n38460 58702\n36923 95244\n60239 92575\n4014 72457\n27387 43512\n72783 98418\n60969 75214\n63465 95127\n63190 82698\n50593 60895\n25702 37987\n29505 60010\n65226 98431\n19789 19872\n22759 52941\n5359 72376\n20489 24886\n7443 47851\n13783 27111\n43221 70977\n3690 76706\n16617 30345\n46371 78168\n25974 75725\n65955 80286\n2789 20999\n61358 74305\n14354 77514\n22838 95929\n973 39357\n204 72234\n18014 30981\n13732 34009\n25784 94719\n13014 30848\n75821 80698\n5779 19672\n44185 86685\n23366 72486\n16792 21447\n31079 46760\n37976 42885\n9422 15208\n69115 78405\n55894 79497\n13875 20865\n26689 88782\n11299 21481\n20909 51464\n25401 80964\n65356 79683\n7778 22668\n30689 33016\n54537 61046\n18705 29869\n22687 99313\n13654 31652\n47249 90321\n7270 78842\n35943 64124\n7072 47680\n45157 98528\n16028 25218\n14015 14266\n2364 24872\n22009 84793\n53554 72838\n38018 88121\n52238 83176\n59261 99848\n9844 25416\n86388 92727\n9007 15201\n65477 68832\n83164 86542\n24384 44936\n37819 99226\n36365 70454\n48615 77399\n13545 73043\n25939 42147\n86391 96071\n25587 62121\n28165 50619\n21594 33867\n61862 84660\n30412 78167\n63104 64627\n14831 74680\n30695 98530\n26845 64183\n63690 74550\n12890 64199\n62779 64394\n23156 96470\n3756 67849\n10575 76129\n16337 38523\n51740 62165\n53730 79656\n5675 95082\n20904 91726\n6369 72716\n31327 84708\n68201 83127\n2180 12562\n30666 49407\n19871 89494\n58041 90441\n8242 76317\n81912 92350\n49048 77364\n76343 97812\n23969 54295\n4140 92103\n28376 32064\n52831 99921\n33161 73162\n21007 91434\n20357 64922\n84131 90824\n4130 57978\n20145 51755\n45559 73140\n46135 53583\n224 24745\n7740 74417\n46920 47872\n51079 97883\n5503 46287\n23164 69732\n3676 75387\n4318 74073\n23200 91273\n1504 38896\n1830 34363\n20392 37904\n34916 62280\n26515 36038\n69284 75826\n17386 78419\n39954 99683\n6212 67820\n32897 40811\n17705 68117\n7252 19310\n48025 54548\n9839 72116\n32796 73581\n5492 57549\n8681 87371\n73698 96113\n26472 30450\n58971 94910\n25614 77214\n43765 78343\n52685 97445\n20768 79292\n86747 97515\n13151 38699\n4426 75777\n37625 64574\n8341 68491\n63558 64671\n83527 91603\n7161 17069\n10721 38002\n37609 48798\n15834 97123\n29328 34915\n10585 63028\n53478 84089\n83168 96228\n12626 97251\n3897 54494\n1423 98586\n88639 96082\n23650 88820\n5775 25761\n65553 93302\n48762 60655\n36922 47380\n20135 69922\n20346 81765\n48192 99414\n65375 91781\n1374 71949\n45595 67030\n59071 92708\n15250 46147\n3194 53175\n59917 60882\n17851 75418\n66926 79424\n52649 57956\n60400 80122\n1130 58064\n43480 51465\n48849 59802\n79766 97806\n16204 52104\n10053 83877\n20250 75981\n25665 29865\n3104 36916\n47112 64617\n10010 96870\n11680 45159\n25080 67983\n9928 55393\n9071 51790\n17455 59687\n44396 67590\n5697 90303\n37068 84324\n58473 83154\n69329 73777\n33997 87702\n32363 72404\n740 30349\n4166 30978\n40978 93882\n3551 22239\n25092 81875\n41811 48813\n34664 55266\n12552 57274\n23037 25013\n73 99904\n62629 94587\n27477 86776\n74063 81203\n69033 92253\n31420 79004\n42877 81378\n56200 99809\n52347 58655\n41726 78001\n19247 72107\n40074 72993\n33462 69846\n95869 98442\n80839 99967\n37911 73115\n10861 13271\n28543 81717\n62260 96756\n51591 75885\n18182 30417\n17696 61460\n50429 77667\n55587 91846\n8866 62195\n20848 28657\n51114 59928\n14301 23424\n4128 34256\n17958 77036\n9105 43438\n10692 72804\n3477 18235\n74958 84230\n58155 90018\n84195 95393\n55109 88608\n86013 92778\n59598 99697\n1605 10417\n24953 58896\n28378 41918\n40075 65349\n78714 83741\n35774 92272\n20400 21212\n40166 55353\n57664 84600\n89800 90459\n15282 82174\n1074 9412\n23519 64956\n89779 99365\n46115 79237\n53727 81249\n47005 54568\n45464 45519\n8375 99384\n22867 23751\n13994 27098\n49063 57399\n55630 76338\n55967 81467\n41326 85997\n85919 86596\n19620 34821\n67443 86072\n67355 94229\n28911 80726\n64579 88987\n21907 95335\n2201 97594\n86644 90282\n57468 59251\n29834 70223\n26761 62088\n18977 86924\n18431 58773\n35870 50001\n16535 27228\n68152 82811\n47461 99383\n13639 76533\n17519 40986\n75014 84642\n5618 82003\n19931 77276\n5219 66903\n10514 44831\n32235 84079\n49294 66531\n65167 74258\n27329 74168\n77379 99878\n55152 79585\n49740 84622\n37130 91276\n59445 88633\n33580 77881\n31917 54837\n70395 93583\n32572 59900\n20468 74300\n15162 51225\n63761 78854\n28281 51545\n42367 54138\n16302 91044\n7412 97382\n31175 65364\n38927 41663\n12673 44803\n50876 94995\n74489 99925\n222 13492\n31861 36298\n5996 77488\n74437 90602\n21601 34053\n74483 93829\n93489 97807\n9706 85930\n23826 72489\n51116 99969\n1692 85732\n16067 62632\n35986 89579\n7093 23145\n59335 69552\n51348 87552\n70934 74438\n1470 46534\n96264 98522\n71753 92192\n3165 78826\n33860 98340\n74200 98384\n29978 70587\n7427 70092\n29242 59785\n44234 79465\n2975 33326\n60182 66181\n11367 20735\n9578 57155\n13453 16302\n27561 51311\n45736 70447\n2762 96072\n36794 62438\n2283 99945\n48374 73923\n13641 16416\n85156 97869\n22088 64994\n29601 31922\n29014 39217\n95771 98394\n51625 59811\n50301 96581\n72568 84477\n49767 92320\n57153 64257\n29422 83418\n25528 83333\n13492 63988\n27484 61245\n38225 60568\n53104 86486\n15773 39076\n87808 91473\n43812 53649\n1965 55536\n42892 68546\n64065 90118\n7810 96890\n7421 58562\n32422 43684\n63764 81924\n74668 89110\n24889 71385\n57473 77185\n11332 41900\n5150 48405\n30746 69396\n14604 26659\n19960 92459\n29410 90420\n58842 73322\n36649 87138\n18588 39915\n75747 84255\n17553 20952\n11160 43394\n73873 82757\n23240 38218\n4303 41516\n29656 73322\n58489 66883\n22714 97336\n65211 66241\n44222 76072\n44950 56829\n36748 63132\n71694 87168\n29697 83982\n27122 86557\n19927 37855\n7380 26664\n30990 90261\n6810 22134\n31018 92755\n18076 45336\n48432 81688\n36857 79627\n59421 98928\n68583 88076\n36286 58984\n20987 63321\n689 61954\n23656 76469\n19460 28838\n1069 61782\n9566 90191\n39061 71078\n13339 32778\n7694 80534\n5274 24390\n346 65819\n31036 97281\n76547 95781\n5118 63422\n54303 59656\n39696 51386\n35861 68828\n17945 45030\n5993 90661\n71440 83004\n14159 47829\n20248 90592\n10635 44351\n2264 73717\n39252 92497\n25443 94725\n13002 25756\n6737 95629\n17133 82885\n1178 75315\n77575 85394\n19288 62920\n9663 86808\n11156 37055\n35189 99790\n12883 75995\n35888 39269\n29259 98723\n21955 90729\n91461 95446\n560 18703\n45528 79628\n68393 82910\n2286 56570\n29343 83271\n72058 94950\n27743 49893\n6078 91682\n88916 92433\n12089 91059\n2738 99409\n8580 86500\n27726 42807\n3356 59239\n79555 99645\n18766 30717\n31263 59912\n15338 53224\n34422 50594\n49151 61129\n26908 99123\n37046 40032\n370 83639\n21416 22200\n5748 95935\n96899 98546\n83 43317\n70153 71985\n15198 60510\n2916 99496\n784 55233\n31973 72190\n35388 56412\n16379 55676\n16528 90749\n30526 65167\n35179 93475\n34629 36451\n78988 90479\n74800 81734\n7617 78181\n47474 70665\n46392 72073\n74786 96323\n18263 94299\n39197 43905\n36316 38147\n20375 28649\n44940 54645\n2018 45734\n4639 37953\n88539 93479\n45541 86986\n46543 56982\n44413 81164\n21221 44077\n8397 81496\n63202 70944\n71 923\n35424 66562\n12486 51513\n3183 99008\n49638 54134\n56456 76779\n81034 95230\n31774 52430\n34217 90255\n46383 63992\n14302 17259\n68445 73915\n87364 94617\n823 57609\n72450 91206\n9314 86882\n2159 75528\n14923 15101\n10416 96669\n20287 66572\n77884 82591\n17112 45377\n26437 74604\n61074 74130\n40700 81545\n1833 65139\n77461 85123\n15110 66860\n20747 48822\n2360 66755\n5348 44402\n55170 99938\n22498 70524\n42036 45331\n31224 39678\n48537 83340\n23111 49566\n19764 37664\n27901 94770\n4057 97921\n51624 58346\n8508 83676\n60559 67050\n10308 94652\n28003 73022\n6067 57725\n6550 77331\n25084 70776\n12620 48876\n27441 42537\n63963 82543\n84134 91899\n2520 42717\n11922 52356\n30650 77883\n17275 60935\n953 97160\n66954 94935\n10035 53465\n6829 14902\n69789 97121\n7410 85357\n16242 38183\n64947 76756\n15462 26473\n34201 50833\n45845 50107\n98164 98435\n33843 78478\n39975 80677\n28672 61783\n76046 91332\n44508 70621\n1856 44077\n36860 40119\n32752 59150\n38742 60708\n33372 57159\n26893 44810\n37608 76217\n43660 83007\n14960 95226\n17310 98042\n33138 90319\n35410 63852\n2916 11901\n71088 92307\n61128 78858\n11717 56482\n31710 51857\n2778 9932\n19637 75860\n18021 45706\n54263 94230\n25209 64686\n86521 97072\n83075 84270\n41968 48086\n77677 82489\n89426 90212\n43466 76405\n6345 40730\n20390 37534\n30310 69645\n82378 97282\n36921 97664\n62800 83155\n10791 59608\n39909 56066\n64014 90779\n35003 79880\n22109 98968\n46117 53830\n18741 73385\n4797 62512\n26905 28930\n39574 59632\n15451 87233\n7464 29509\n15108 77172\n29186 33114\n16526 98134\n37536 39115\n89933 93569\n7344 20332\n17023 26050\n2949 82332\n41064 62747\n18400 87472\n2404 41298\n22930 90431\n1508 28040\n64964 85538\n23411 78650\n23966 44095\n33215 80177\n24028 81859\n62382 65308\n2841 25550\n26964 43496\n86282 99071\n48398 79203\n32316 37062\n31463 34136\n66485 99690\n30809 50055\n6940 84481\n33128 50359\n10457 77817\n5403 85364\n27470 29922\n20578 97670\n55700 63554\n62156 82844\n60168 78330\n27532 98473\n7093 57550\n12428 50876\n57409 81851\n19423 35343\n8809 97073\n49142 85677\n59262 97237\n53507 72926\n63294 97124\n37180 98956\n39780 71552\n27434 50746\n79247 99951\n13353 54037\n48059 51097\n87705 88871\n38015 59532\n14434 28991\n79041 96062\n3510 75725\n67458 96118\n55974 84603\n3386 99233\n10786 12560\n29068 87954\n11316 53770\n14442 82666\n7918 49851\n63814 76349\n57880 58942\n58211 77407\n47796 59411\n73426 76387\n6696 11248\n385 11987\n9451 92963\n10217 47599\n44262 70382\n61370 74698\n82996 95573\n59326 64464\n21029 52733\n8822 14825\n42658 62646\n19288 82067\n33241 76664\n30169 68819\n58614 78403\n14076 25583\n42570 98603\n12237 95444\n43130 73736\n25270 42099\n68879 94807\n512 55627\n71847 73359\n73865 98575\n7547 37839\n30346 32293\n23625 46028\n71190 89474\n17073 72783\n46883 66508\n71682 76354\n4945 32743\n20938 60411\n30847 51090\n56800 86952\n8943 60713\n81644 85085\n19821 47193\n11920 12572\n49166 60450\n27124 44740\n17966 41161\n24600 91966\n723 29766\n60538 68476\n20290 35555\n15356 32747\n51375 51748\n222 37716\n76357 78985\n41156 81820\n26144 59429\n66909 90380\n47572 64623\n79436 89836\n2479 25394\n20286 56111\n53082 58766\n4330 25412\n5651 13834\n22784 34657\n45386 97938\n1414 61229\n28376 62600\n63335 81986\n54995 57534\n45411 74638\n21570 47398\n43875 50037\n27899 45284\n28342 97711\n15854 39450\n32095 79289\n23698 33087\n35699 98396\n21226 41228\n9027 35337\n48102 99304\n37544 39840\n5983 96895\n16988 62256\n39256 76674\n44983 60244\n27207 34101\n1652 21799\n89598 92869\n20672 78490\n67229 93770\n27887 69541\n32962 69916\n10291 40967\n3713 38974\n9710 30763\n44328 61549\n28008 94494\n76799 79079\n48548 63703\n19504 89044\n30168 43492\n28102 66919\n14804 80359\n63749 85730\n14676 73468\n3669 30431\n65289 79193\n4550 93643\n64071 85026\n44800 54863\n10776 14837\n13280 92998\n37370 78882\n17035 57366\n57981 65866\n46513 67309\n21069 27476\n40421 88373\n15553 60793\n35474 82969\n52147 77752\n31549 67542\n22223 47078\n31858 78665\n29068 73450\n25734 98318\n56641 72384\n54051 57996\n2327 89318\n35478 40452\n60276 74644\n85698 95925\n48556 85387\n39619 51822\n36369 70163\n83535 87383\n36615 98872\n48531 88053\n11491 51098\n13170 51356\n33353 67008\n25605 46574\n77182 86262\n12238 86990\n6796 33473\n33350 89569\n19068 60548\n8355 90958\n46018 91179\n72117 89859\n85768 88988\n44655 96743\n49064 70929\n45675 54607\n35499 69314\n35058 40032\n25747 73138\n7817 49082\n6872 11680\n4481 24529\n57865 73431\n25440 59328\n16035 25939\n37559 75703\n61934 67726\n64593 89630\n5830 96788\n11197 71261\n18685 30499\n16206 31074\n30158 89739\n86914 89020\n6932 21329\n19581 74801\n2447 98013\n3316 47470\n64891 81804\n68738 94172\n23163 90560\n83198 92841\n43877 55945\n13825 59890\n29273 54993\n2338 11990\n6313 50336\n19617 73642\n28267 66715\n58770 66585\n28954 64868\n60687 87298\n29918 61086\n29435 88783\n3438 98411\n18068 62710\n14209 68669\n37719 85157\n49684 92098\n37528 58240\n39975 99742\n65758 95551\n48682 69107\n21952 48770\n53590 64460\n11459 33009\n6536 64255\n1726 5033\n40957 51582\n70376 89330\n55916 91828\n4852 29428\n26923 30363\n41075 52337\n80799 93711\n37661 41063\n67931 76891\n26528 69682\n22420 83612\n2082 24533\n45221 99393\n1682 21604\n37322 57746\n19409 87053\n36426 72582\n15321 90622\n60058 78520\n61754 78444\n41649 42617\n20262 38816\n75239 79992\n15696 73031\n11030 85609\n26319 98386\n8336 87929\n84813 86237\n1416 3807\n34120 45825\n35428 97215\n24643 41867\n29778 58617\n27310 39099\n16500 69139\n72414 93488\n73750 84119\n14139 22190\n30485 40658\n17092 57089\n6580 38002\n26369 89645\n32819 98668\n43233 74575\n56619 67992\n29568 85286\n80543 96198\n12351 59024\n24882 79532\n10071 99019\n18625 67227\n19530 96806\n66809 67335\n18017 43715\n44502 63227\n47327 59453\n56480 98422\n34128 76812\n33050 63680\n24367 64095\n60093 82636\n26657 54944\n11983 92250\n65766 89108\n19137 79441\n10462 23361\n12084 58430\n28746 51688\n21687 70130\n8608 57741\n48228 90879\n90895 97158\n3126 12424\n50109 89912\n11710 24595\n41239 52418\n1476 80162\n6160 18447\n33235 40689\n76130 85119\n10652 98221\n26498 42645\n52302 87897\n1542 12042\n36689 40299\n23117 34313\n9266 57055\n30743 47989\n35368 51751\n61637 63443\n9253 50844\n2768 23135\n3446 4158\n49517 53050\n41053 73171\n16755 85903\n74341 75915\n28707 59425\n15025 28154\n6494 39456\n42841 80499\n28091 39426\n72909 98687\n39083 49279\n53064 99486\n24452 26746\n38274 99543\n54897 81535\n11995 78861\n24331 42293\n26265 76168\n19458 23281\n8404 41396\n58026 95026\n58837 65710\n58242 58925\n10230 21695\n49898 81079\n21491 47509\n74234 79344\n19321 85502\n28168 93088\n23090 34244\n10292 31258\n74425 92541\n1616 11588\n42545 78048\n12728 35524\n33772 41887\n1618 25947\n9664 79528\n41935 52184\n46502 73490\n8668 29312\n57545 92623\n20813 26348\n59561 91692\n64647 66348\n77584 94751\n8757 97379\n29564 49711\n6062 63706\n8589 67838\n36939 57442\n51483 93347\n59333 97713\n57087 86649\n55358 72655\n68651 89839\n21477 33524\n12311 23995\n44354 52282\n4325 23314\n72791 97604\n48978 60514\n30579 71571\n10419 54839\n70958 80226\n89496 99225\n40107 89985\n7841 62339\n80914 82562\n65313 98227\n4012 56662\n28935 80383\n3189 49080\n58120 70301\n36615 74450\n53985 64838\n66292 84393\n24980 94846\n28230 77524\n22370 50984\n1803 98124\n6956 80652\n4910 30842\n18606 86947\n68513 99086\n10076 49117\n6591 42846\n56432 83653\n20022 77194\n82054 87691\n58113 78464\n2868 84544\n31907 96010\n3369 9083\n32880 36800\n17918 35918\n40987 81143\n5608 50465\n28059 94970\n30262 52080\n8715 56301\n31260 51087\n1589 33082\n25659 95052\n2140 96726\n67564 81163\n62755 82417\n29282 74274\n8077 89049\n48043 93906\n29706 85996\n60104 99184\n12794 87855\n25606 51563\n39801 84918\n18518 60607\n19731 63642\n16984 29021\n43678 56610\n19949 97069\n15432 43371\n19616 93647\n64265 96647\n35723 68588\n15656 50926\n59949 65934\n43445 56879\n84691 91977\n7119 81344\n8054 16972\n13474 52965\n44349 62854\n43004 56608\n37263 73753\n52202 60962\n17330 90549\n2461 4421\n62293 66988\n16517 98541\n85137 92529\n65580 71552\n4643 22009\n146 3003\n63248 95543\n384 81751\n16741 17315\n33500 72256\n60117 72432\n61155 65610\n2833 28862\n13891 88220\n4025 9101\n3680 77199\n7904 87483\n28961 35787\n3769 50488\n26479 48390\n52188 82617\n12144 47984\n4872 93537\n18172 49117\n54219 70607\n32840 64210\n30700 84028\n36419 86359\n24564 80698\n53649 61983\n55277 55630\n33246 65956\n72739 99877\n82213 86558\n18962 79193\n13751 32328\n38209 66784\n23509 53022\n6610 57058\n9588 70409\n30753 51052\n54014 66310\n58302 92450\n61492 67075\n36210 91600\n49946 96072\n76387 93710\n18161 25923\n32485 41518\n50645 57531\n1543 18716\n1562 70953\n8681 35116\n8965 42469\n29906 99867\n17344 91231\n2494 27532\n69443 78829\n19039 76326\n7900 48057\n4127 56798\n26992 75574\n18608 38900\n62434 71853\n58900 95826\n38492 88526\n48642 92361\n38632 82366\n60670 71965\n33994 34860\n18633 58416\n70122 97692\n10196 84524\n15871 74621\n3910 94998\n6763 80794\n49548 75985\n10953 54450\n5265 89601\n50040 93011\n49879 97054\n19648 91517\n49109 92284\n44080 61041\n75072 76709\n41552 58234\n84319 99963\n1869 9909\n48568 86479\n45384 87927\n84961 95581\n75088 87668\n24485 50664\n51468 88048\n8187 55490\n38257 40005\n7589 51084\n95030 96452\n39660 61341\n49323 75959\n42789 59288\n11622 68024\n31242 70845\n3133 55873\n11916 12062\n1250 37370\n60651 77439\n6605 16400\n27768 64563\n17718 25525\n14101 95885\n8415 49839\n2151 89257\n43642 49446\n40786 60637\n43671 99391\n5227 83290\n40646 79477\n12452 46536\n92271 96085\n4529 57231\n63748 78493\n3848 93796\n77315 90385\n3558 44447\n44981 46175\n25166 32983\n2449 27125\n63345 92300\n47748 85696\n79406 96063\n50155 71952\n29754 94909\n80760 89753\n43230 74237\n45916 71404\n87377 97534\n54310 56389\n3542 32195\n1634 54800\n87112 94253\n15949 87928\n21141 72709\n22350 29173\n6008 30063\n8558 20958\n13157 38020\n56203 68571\n21139 43401\n4459 43873\n83797 90464\n41816 63875\n3393 38146\n12616 43615\n27348 69833\n56885 75849\n51154 61005\n34118 59066\n45420 91622\n27188 86653\n6530 63224\n33704 59569\n61573 80148\n84093 87334\n30076 98377\n15231 83810\n67270 71347\n30456 66839\n14413 21421\n11999 49651\n2381 78469\n64263 98207\n7403 44683\n471 4678\n13547 96678\n26913 55215\n64832 75410\n71906 78286\n1358 75818\n38224 86712\n30351 97278\n7763 74101\n49921 87039\n14783 75114\n8517 45946\n6547 47560\n16581 63033\n31558 77022\n17599 61504\n78540 98056\n11841 21922\n42890 88002\n28249 89133\n14524 71592\n19602 70351\n9090 48194\n12668 58947\n22482 87447\n17172 36876\n51578 62101\n2119 88087\n44298 57362\n25660 46376\n31812 54675\n15108 79386\n29377 58681\n43332 68698\n28202 58450\n37554 96120\n63562 74072\n91511 97888\n37645 55131\n9470 26549\n5435 96306\n28893 90928\n36504 44706\n30051 85386\n63837 67522\n48062 51495\n96056 96446\n35246 97915\n53582 68396\n38523 63231\n66810 99552\n50622 55889\n25808 43003\n26942 45800\n15709 46069\n6255 36883\n60693 83576\n47156 80517\n54647 64103\n86598 98924\n42539 58256\n24140 30336\n44980 52618\n44783 69301\n15893 68169\n66671 77624\n28029 76054\n12942 26091\n16549 41025\n5525 23487\n1972 6490\n86769 94159\n51468 71101\n29344 66298\n5076 53795\n60923 69747\n35138 51620\n33905 58362\n5398 37533\n21568 35729\n6459 36457\n59183 89324\n9868 88089\n17611 22283\n1642 72631\n53261 59165\n64994 84264\n46079 90627\n58620 77428\n50352 83197\n10110 86242\n82706 92968\n74453 84260\n4331 93474\n63879 76344\n20214 41712\n89322 90510\n81681 87163\n23191 88318\n22573 29467\n36195 47389\n44322 98489\n2125 71872\n5582 53264\n29538 97065\n25420 41660\n13779 90345\n42721 95445\n54242 82455\n8383 92642\n63330 73396\n24074 91199\n62638 95768\n7943 68936\n11896 21048\n15582 67767\n44148 69125\n60921 81752\n32741 64156\n12632 80673\n29985 96342\n20601 21905\n71391 89794\n6716 30534\n60778 72398\n27001 57893\n4146 26522\n53280 60987\n64997 81069\n10416 66995\n28594 35288\n8453 10966\n40909 56014\n8892 59763\n12903 90380\n7766 75659\n21114 74792\n64534 99210\n15201 16252\n1837 36774\n31217 69519\n16260 85377\n5435 87238\n23174 78081\n29321 64298\n8269 59280\n42127 68078\n1806 55537\n23535 71904\n48073 66372\n65348 93420\n64747 69837\n3401 85611\n5968 95033\n42358 62209\n8635 13817\n19053 65356\n47075 79893\n32870 89457\n23975 29631\n1532 63055\n36683 83800\n31361 73598\n45657 47071\n35849 55732\n16525 83676\n66105 82540\n68761 70594\n17656 57763\n87342 99787\n6193 37494\n43506 69513\n95152 96095\n14646 58222\n38827 63607\n44895 66470\n39975 90831\n19497 29903\n36863 90236\n62766 76974\n13769 18260\n25268 65000\n7159 71552\n52898 78366\n9840 46095\n53868 63395\n45429 82632\n26162 36199\n42869 61349\n30165 47132\n68873 83283\n7393 55610\n11010 58148\n10047 71524\n5923 96940\n28667 51382\n36885 73983\n44346 49656\n19970 76376\n96160 99011\n39900 80545\n20144 75290\n15447 87209\n12640 75720\n29046 80720\n4917 60579\n9137 96190\n53808 74471\n6936 20138\n30547 41342\n25337 71836\n49743 69737\n53058 64184\n7717 40005\n63089 69358\n33690 61572\n14011 88317\n65445 73918\n49346 96718\n21330 34110\n38273 68175\n73031 74185\n14276 99435\n17602 74724\n13256 71307\n43942 94710\n35214 69671\n60580 79258\n47166 58776\n216 96805\n20901 78270\n2135 58407\n30756 53447\n87516 97417\n15840 64817\n16529 25723\n4183 98397\n6894 29754\n77756 81516\n36468 86235\n11721 56009\n4618 13592\n9064 34306\n72979 99894\n79606 96474\n16388 71626\n28924 71775\n73650 96600\n12377 82134\n33694 68957\n46629 66094\n30574 33851\n30146 80857\n32264 93375\n4708 34771\n39278 57628\n457 2481\n78751 84504\n27522 58618\n43272 87387\n32395 80518\n10556 91044\n21693 67559\n56983 98676\n8503 41400\n24227 71648\n70412 86307\n36664 95803\n72822 76940\n10242 65955\n1391 59412\n91259 92108\n45825 78965\n64900 99812\n30769 93185\n29356 81509\n22179 99885\n19873 49624\n17932 44606\n62965 98471\n9597 39816\n10261 71326\n60951 72754\n31034 59489\n31199 86208\n29157 37658\n56188 70978\n74270 83419\n26570 79347\n26691 93566\n82720 92629\n64975 71703\n37489 58624\n78942 99503\n64071 84233\n14770 58036\n42499 42572\n30927 55440\n9232 49897\n62375 69107\n42137 44323\n51326 72429\n26987 93919\n2033 18405\n33560 83316\n984 31414\n41248 57322\n17115 25582\n21259 53375\n42648 74650\n55235 92672\n4711 76731\n45246 78687\n74448 97531\n3127 50748\n34404 91994\n25352 56135\n21256 28503\n49221 64685\n42259 72781\n13234 14155\n11423 96412\n9580 54575\n8935 83970\n36732 43670\n36351 48845\n3825 18613\n24736 51692\n36995 91740\n29256 72958\n44171 62780\n49715 87708\n46189 49951\n5194 77048\n69151 95680\n80909 95256\n5327 53140\n17950 74315\n62232 92755\n10917 87087\n13088 83279\n65844 82145\n49682 49770\n6275 9626\n48308 59034\n19669 43855\n24046 95161\n84609 88602\n40023 74174\n9564 20310\n16128 93536\n35249 80285\n4462 11249\n13403 94614\n37415 82678\n8524 90425\n9677 93785\n42090 73334\n19676 30599\n54573 63999\n12069 69971\n29983 78994\n50375 91763\n45662 89145\n10277 34569\n22739 87471\n6669 68905\n31413 73409\n35961 75392\n77053 84484\n44892 80599\n904 31394\n21636 51463\n81316 91340\n56197 87489\n39447 89465\n52825 59400\n27181 43292\n6761 84983\n22490 85488\n11695 17854\n16739 35221\n44892 93966\n13180 51260\n18383 82792\n32801 58458\n60951 95552\n50719 58054\n61744 70729\n26893 27535\n41560 71700\n65855 84581\n26037 44972\n54757 84349\n58664 68935\n13893 94324\n24352 83621\n29935 36868\n61463 67707\n12473 61204\n92561 96373\n30652 64849\n45327 72001\n23097 23723\n59627 78944\n50306 93220\n2853 82502\n4194 89884\n2503 95049\n63992 66443\n36994 81746\n2 6410\n10334 77162\n11207 94161\n31220 45466\n8085 92186\n49537 77729\n62699 82142\n15456 95383\n9322 54426\n46264 98258\n22232 23964\n24820 74825\n28361 35694\n57180 96234\n13999 70483\n87153 91253\n94834 97004\n14286 37858\n10741 38408\n19958 59068\n35081 58809\n21975 70033\n8726 34376\n23042 70419\n79190 96482\n23588 77059\n19746 22041\n2342 66659\n4514 55764\n17817 84458\n29071 88637\n52406 92402\n54514 77548\n53603 93637\n62309 99018\n7161 50479\n18520 72300\n42639 96811\n10589 20903\n12753 57934\n67039 84652\n61507 63454\n15371 26894\n45417 46835\n47949 52942\n59166 98153\n8785 87083\n48881 52985\n73326 92770\n59478 85372\n7683 47626\n31985 75622\n16913 21558\n21338 26608\n62764 64595\n8257 19459\n25773 86082\n35094 53805\n76755 93748\n51427 61314\n25404 74043\n2546 6530\n31676 72621\n38019 55483\n88601 99924\n10004 70707\n50141 54112\n74253 98320\n75178 91429\n4609 11108\n12809 35613\n23842 32625\n28149 44611\n18793 45428\n38211 48540\n19277 81859\n13362 24669\n8580 48769\n68938 87150\n36595 88547\n90991 94658\n25980 60637\n70057 74411\n89338 96397\n34542 83938\n20076 67843\n41719 85325\n28694 72844\n33785 63806\n7930 83924\n8302 59969\n77885 80306\n11007 99150\n22002 50246\n47125 69323\n72287 96140\n14073 75615\n10028 58239\n40479 46832\n76377 76764\n30970 77131\n42587 75046\n39967 91706\n51522 99724\n16347 34214\n55934 76567\n15874 68767\n8434 98135\n34218 88244\n42760 57541\n8674 53144\n68900 90649\n22845 80929\n51477 97634\n39181 44719\n9022 93055\n7072 61615\n19276 24038\n54205 75223\n11010 93342\n62120 97114\n9234 69206\n44386 58311\n48263 70878\n35813 94071\n65041 80090\n13313 19715\n81427 91751\n22291 37153\n49455 96484\n7425 73243\n45362 77682\n2826 64402\n1062 1423\n82388 84445\n15907 49361\n33636 94408\n6650 24715\n69154 93614\n6462 15125\n3138 48200\n42184 77737\n5026 91370\n19494 37213\n68674 71225\n53665 75206\n22087 70156\n86957 88234\n31571 63658\n18525 60661\n18838 57243\n16062 56116\n12864 50137\n21404 33486\n20842 97476\n14955 41590\n20631 59763\n50947 56326\n34056 54222\n6729 86815\n55277 73525\n58192 91388\n62918 71759\n22036 45328\n32080 54915\n31473 95354\n47748 56578\n33526 39597\n41590 61521\n41455 60268\n66752 89381\n29355 92533\n35647 73484\n3152 4657\n12808 50019\n81119 88225\n14182 57875\n22833 25930\n29981 56517\n55062 63179\n15712 48973\n23380 83530\n16945 34644\n72980 99899\n32570 82421\n26886 59417\n24625 90838\n72060 86756\n13228 65392\n50628 57186\n51230 62502\n16152 43268\n73547 74956\n39590 82525\n73507 81558\n13176 20600\n34748 73468\n62887 64979\n10708 33597\n18326 87761\n15241 57231\n8222 83630\n86413 88558\n1488 72404\n42110 99069\n21359 34287\n4820 16081\n14626 20178\n39044 47011\n15913 58834\n65382 95453\n49825 88400\n23005 99086\n35440 76944\n3102 93513\n32666 58643\n16657 24267\n10750 83723\n33959 46610\n5530 40864\n30349 69850\n6132 40315\n39581 69707\n80920 94690\n65746 87556\n25045 92736\n18010 42774\n53811 97252\n5322 6362\n54987 99742\n65893 96033\n55755 65405\n17753 73394\n35847 99936\n42650 81169\n60482 78359\n22709 38843\n6091 53311\n27792 90820\n69335 96122\n27905 35271\n9329 32056\n1458 40525\n25166 37305\n67695 79076\n79269 80846\n28339 42183\n26515 53100\n33288 37186\n12250 45343\n14146 50078\n9922 97298\n32636 57953\n26753 96906\n37272 97529\n82453 97187\n44210 54536\n60877 86380\n17738 63580\n4505 27795\n2099 60054\n36336 59108\n45450 54104\n12919 13576\n38158 60600\n83088 92804\n1151 42181\n22771 48045\n73090 92373\n21629 61875\n61071 95629\n54710 97936\n41108 56068\n22588 57651\n59610 60249\n653 70731\n47149 85952\n24485 82730\n8604 86786\n5542 65237\n34983 98892\n4759 79950\n7197 13257\n58989 70289\n22334 64784\n28539 34229\n26635 99345\n55964 74719\n36594 87686\n18217 20238\n33440 87961\n1024 96699\n12108 42880\n21528 71667\n49626 92775\n2717 52133\n67042 68061\n8312 75225\n24580 42041\n14348 37379\n32284 90674\n51117 85212\n83546 88214\n56662 69463\n64128 89128\n65393 72170\n7199 91140\n26184 50961\n54503 89242\n37407 61167\n17578 74614\n49041 53054\n69461 71009\n16889 99769\n26670 65561\n58077 71904\n68936 96907\n39297 44524\n3653 80004\n32206 82991\n474 95751\n18102 20928\n44287 52888\n26781 61493\n62364 97230\n36258 71215\n2965 80546\n63026 73207\n9467 75305\n41018 71727\n48218 58985\n19926 60007\n17227 23541\n65103 95291\n50801 53114\n20388 59714\n51167 88276\n24670 83840\n36608 56775\n5921 65189\n51940 81930\n51930 96433\n63849 86370\n941 12023\n56514 68289\n10354 92606\n1049 61074\n7051 43610\n17040 34233\n43673 95436\n33748 86349\n61977 76702\n63914 67421\n69223 96972\n4529 16376\n2026 79676\n31264 73119\n30626 73405\n84743 99963\n43345 45524\n20910 84897\n18274 20950\n23872 26860\n95 51724\n41717 87603\n55086 94481\n981 3743\n36168 49927\n10059 62617\n67438 76748\n43499 52679\n4704 8333\n49170 62300\n19478 68500\n63228 67059\n64355 87489\n24709 72819\n59543 70459\n20904 85096\n70396 70688\n11488 60119\n32992 46504\n18299 28162\n14847 72418\n66157 99174\n957 2323\n34023 92263\n1900 27542\n50772 66030\n15600 29366\n20448 84867\n5622 13266\n44132 70386\n42185 48039\n63771 65738\n1397 2578\n3489 34628\n1475 40782\n17725 23363\n46013 88827\n9003 16935\n50639 98353\n29697 68459\n5397 17213\n49550 79639\n11859 19061\n2069 18595\n36077 99208\n51825 75127\n4539 56100\n95348 99483\n14826 33102\n42913 70973\n72644 77652\n43811 48560\n4974 78237\n62251 83711\n58539 96571\n6125 55442\n43456 72573\n53787 82142\n45970 59986\n29815 36946\n75992 92029\n385 40508\n7384 46504\n80742 90208\n33268 99795\n23864 67737\n11399 52248\n63328 90504\n89151 90623\n58266 83361\n67331 87466\n44682 59704\n4510 39421\n19859 78234\n43486 68534\n33505 68164\n4786 74642\n43317 59454\n32523 52824\n395 26253\n50302 72958\n37412 45028\n73418 74391\n37679 70551\n30573 32733\n16721 68299\n34306 95119\n36295 56902\n63619 72187\n37917 59084\n15925 59003\n68910 91377\n9312 78898\n57759 84547\n34871 83599\n11087 56854\n5578 25466\n30936 53418\n63407 77260\n3102 30974\n68392 69629\n54342 74343\n36161 76382\n72475 91342\n31533 34874\n19241 27400\n23559 74283\n20168 30592\n57609 89021\n5464 38743\n72500 77907\n13283 31205\n3243 13256\n28588 96149\n26582 30657\n57490 68292\n80111 94803\n30128 67452\n23716 99774\n48744 68592\n27381 41652\n12267 75536\n43778 56112\n50676 61389\n23435 80966\n47589 59389\n46454 50158\n35666 82687\n25535 63920\n12215 43578\n85547 99064\n83751 96344\n6291 77140\n34821 67293\n41719 85248\n1564 46172\n1735 44648\n8159 98869\n85411 88620\n23124 81084\n57917 94771\n35099 38465\n46083 99532\n1920 88270\n71654 95767\n21519 89735\n35060 77868\n62928 89830\n32118 72665\n18131 53247\n14906 39136\n4089 8318\n4632 37561\n16474 72917\n20286 28646\n86245 86486\n41753 90437\n28622 54722\n1978 49171\n24256 85468\n36583 55919\n37820 76750\n79999 96691\n12072 99385\n23772 92941\n7119 69192\n21893 30567\n13338 65264\n72580 94981\n955 65259\n3076 65984\n28880 63666\n25858 51427\n5380 98010\n5049 17865\n44797 47349\n29950 96703\n8666 88589\n59493 96444\n23058 64649\n62249 90386\n20651 23156\n10007 30086\n11944 12047\n2179 75333\n60028 99238\n4727 12017\n18937 37246\n42005 91907\n4629 84526\n48124 72075\n61186 80453\n59429 92064\n29885 75128\n405 64235\n30706 63283\n32497 85968\n34504 35770\n2644 3479\n8243 59160\n23926 83447\n25913 65197\n1953 26217\n31959 48087\n66696 69072\n85321 96691\n62617 62992\n58602 66994\n10507 59500\n560 51638\n2975 53764\n40569 43304\n7472 71815\n53506 91843\n8946 25384\n28699 44889\n60503 95041\n58006 76276\n14606 44134\n19517 76987\n8403 59474\n6078 55562\n3876 42343\n34429 52549\n44402 73883\n44835 58511\n71160 93753\n45281 64906\n36475 72712\n44432 50296\n24153 83162\n47396 88901\n12792 18559\n78506 90550\n14154 48099\n3724 33242\n68514 83695\n48082 91797\n3930 83603\n45170 83935\n18331 33540\n3945 6214\n13640 56106\n52529 99468\n30519 45120\n34984 64529\n71913 85756\n6989 10241\n11530 39484\n7526 29829\n1350 46251\n20986 56390\n302 59734\n13190 56075\n42540 94196\n586 82315\n20649 24337\n20602 95644\n18378 42617\n2093 68250\n31787 71603\n37441 43198\n30545 82763\n53032 94138\n29187 34168\n15319 57663\n4514 98555\n30672 67276\n14349 90527\n1133 20416\n59155 97908\n37187 77544\n58788 96619\n10950 34738\n24480 85205\n7447 65007\n17104 63018\n44520 66876\n10591 66117\n15384 47439\n32957 34783\n11267 76741\n45543 75032\n2067 76392\n15393 21324\n34638 65272\n15440 68675\n22478 22876\n30059 88921\n72979 78782\n31349 32608\n8491 37502\n57221 77357\n45325 69683\n20126 26307\n32470 46706\n3739 89195\n11916 56316\n38600 46967\n80650 86389\n22069 91910\n43095 81763\n6690 27459\n63443 93527\n66337 69314\n8358 27564\n19171 27923\n1780 46104\n66531 68178\n12745 21385\n41486 48712\n67282 75767\n11226 31183\n18210 72517\n2290 59625\n12804 46991\n21732 73383\n12609 71258\n76520 77769\n68983 77172\n70148 97961\n12188 55439\n34630 41577\n48875 90457\n43215 95545\n60211 89381\n303 79844\n76850 92608\n45529 91200\n35571 60261\n15994 67501\n56294 85410\n6348 97447\n9536 42776\n8585 29943\n23432 90886\n43911 46924\n12611 47612\n44971 92378\n65687 87914\n92011 97422\n20442 46044\n42839 92639\n38557 85381\n13755 91454\n5714 50959\n24887 60842\n15393 83488\n45578 51231\n31280 51487\n48543 69631\n19806 86855\n47112 49049\n33562 54433\n68580 95329\n15884 85931\n16514 17100\n36839 62790\n10879 92254\n15573 25866\n11633 81325\n67464 74513\n64351 65298\n16319 61136\n43349 70750\n66211 87268\n21198 72534\n6155 96231\n36730 57285\n18400 78324\n6867 35154\n12441 94701\n28960 92491\n11701 56968\n73403 94712\n23464 70991\n45761 48716\n6136 67610\n16163 37079\n2645 82946\n6152 25294\n4263 6607\n10882 14726\n219 11023\n48708 88665\n34733 44221\n2906 54217\n21814 69263\n13888 56907\n31260 68263\n16067 39611\n1981 61006\n2627 86958\n801 88908\n58291 61045\n10087 61298\n58601 70932\n79850 98176\n68421 88975\n61622 89667\n49455 55175\n25432 76334\n69459 90931\n28629 96965\n22230 36585\n2260 21573\n46139 95956\n20101 94384\n5627 9344\n46240 99117\n17432 34663\n2990 94436\n3555 14060\n12383 35181\n43200 97147\n40267 87137\n64861 90200\n3902 43490\n11952 79916\n6300 80072\n7549 13038\n8762 54752\n32962 67203\n39606 97045\n30635 53733\n37206 99547\n47551 60822\n73843 79137\n38376 57442\n1579 97047\n7908 16781\n13349 31214\n13234 42843\n30005 32337\n31624 43031\n33064 45798\n33160 99802\n29707 78490\n29457 85944\n5564 58691\n65436 86994\n57133 86641\n33189 54091\n7172 80682\n8076 10460\n42411 58147\n51993 73688\n10739 93236\n8425 46529\n18846 70050\n69928 83860\n20447 81068\n57575 73097\n26057 48326\n4823 87999\n60499 90261\n30272 74578\n18182 45518\n4699 16140\n209 8782\n29832 60997\n480 99266\n10964 65764\n30441 55391\n60005 73887\n15489 61614\n18892 75353\n45089 66339\n9725 50553\n5805 48712\n22962 84244\n15012 88170\n47982 65548\n24119 39987\n64199 92747\n60718 97586\n44907 63934\n20228 23299\n38446 98921\n17052 24024\n34823 76456\n31361 71204\n2897 71636\n77831 93450\n36901 42670\n1218 60704\n8136 99321\n14809 74427\n49932 66603\n30434 43195\n32038 60516\n60425 88774\n22960 83432\n10833 54595\n50150 79110\n65211 75248\n43023 90356\n29507 66773\n24986 57720\n499 70762\n35648 72857\n22140 25425\n43290 89370\n26760 48536\n14707 25113\n16668 35588\n5187 30694\n77957 88710\n6070 38395\n11182 41681\n15187 57502\n16923 26721\n73076 98600\n1697 79170\n44628 96916\n38457 72209\n21919 39180\n31291 46296\n46056 97664\n21812 80531\n3662 92046\n21507 38790\n9977 95770\n1294 10172\n6600 13845\n13784 67998\n53642 78428\n34907 44506\n94511 99568\n39519 68372\n14441 48377\n6648 90519\n78399 83956\n86612 87849\n12584 96538\n5951 96070\n30716 84987\n36728 93215\n45195 85313\n82648 87333\n8418 28090\n39587 94218\n3099 71421\n1025 26465\n18165 87679\n54809 79436\n6180 81925\n20707 52361\n8783 85831\n22299 62104\n16756 99457\n55388 69866\n19574 28931\n4422 15966\n70298 97826\n46043 83491\n89088 94480\n28329 71277\n13729 92867\n51973 70341\n5159 11667\n334 73248\n732 33884\n21293 54441\n3581 39119\n41953 79763\n12420 18917\n79143 98308\n33268 74687\n6246 91138\n529 28902\n48769 90800\n14893 49183\n3860 21320\n54984 59775\n50608 92700\n78867 86521\n27783 54699\n46422 92971\n13805 35895\n3866 52376\n64025 66272\n81651 93086\n4964 62277\n71693 79241\n58718 70853\n25878 62454\n62567 74688\n32932 64012\n39701 50903\n54527 63021\n54106 69027\n14697 54102\n48350 71252\n54002 66029\n6654 60643\n18766 37465\n49427 78696\n17900 83155\n47591 79640\n75841 90331\n12981 79194\n20096 25417\n35166 77986\n16601 75261\n33614 69911\n66080 92562\n49737 55300\n23076 98623\n64347 91939\n67867 74372\n17268 82168\n8325 91393\n47400 49043\n6932 70330\n62144 66186\n35894 62922\n71593 88046\n31246 66137\n36937 70050\n15002 76896\n23665 28388\n13328 19689\n40799 90464\n42222 63459\n24877 51516\n29371 86365\n42389 85334\n40954 57935\n10078 43485\n82240 84563\n18121 39381\n30310 78687\n8137 85960\n35795 97731\n24674 35762\n22285 60481\n69877 92491\n29079 44656\n8077 9027\n32417 44764\n60320 84123\n40882 43170\n19108 43901\n21776 79582\n63879 67097\n1977 21438\n38361 61047\n6077 54471\n60087 84967\n31065 94529\n34433 85022\n60146 85603\n4822 32953\n25855 65289\n43674 50427\n48791 72658\n23181 23608\n86388 94465\n13475 14417\n30395 84121\n3108 82181\n30235 48233\n54323 92321\n654 75882\n9703 58640\n7580 53343\n26387 98573\n35726 77356\n51565 55260\n37724 80283\n54474 70657\n28820 61939\n21344 74660\n57918 86949\n2024 49121\n43144 52401\n28449 97603\n66760 85320\n79384 97396\n24908 93486\n60463 76274\n29767 87879\n24525 81154\n11471 50740\n72523 84964\n75585 87964\n35553 91562\n42285 81515\n6049 89470\n6769 79080\n5829 68180\n3369 60050\n66847 87170\n56582 61638\n55993 86160\n39255 90955\n9427 37266\n34416 35415\n84761 86304\n36898 87140\n68803 88012\n10346 55558\n57153 97594\n27105 33824\n3112 51174\n7414 25958\n17017 52986\n45346 83633\n51768 99744\n2490 44637\n56679 79010\n3598 43662\n18705 20437\n16771 86619\n11663 37533\n50230 70563\n45553 47527\n13188 30981\n75590 95196\n48194 69650\n17204 24660\n8108 19604\n23652 51405\n55740 89534\n5442 51833\n79322 95142\n62282 74374\n11785 82483\n32763 68351\n45904 73683\n40801 72326\n49972 52105\n31456 55673\n36665 80663\n5914 61537\n36420 72446\n70719 78681\n31727 48167\n28884 60410\n11911 66092\n19118 38426\n8905 24424\n49769 57692\n9743 29521\n47105 75124\n91423 95713\n42115 61354\n27363 41216\n2872 11290\n66962 92480\n55793 78956\n140 27482\n20629 77884\n19848 30479\n14544 94406\n7733 48417\n24649 50213\n57975 93082\n22698 51444\n36691 60251\n59475 61705\n64167 89746\n13972 65466\n7036 96052\n30121 62923\n3823 57047\n21480 57652\n33737 97959\n70660 77478\n24960 92668\n11472 96046\n79034 90363\n50093 84348\n71764 91068\n47096 91552\n78134 93363\n35279 95402\n65029 81105\n4368 74335\n41170 64369\n31390 33154\n65593 71452\n710 26033\n37200 82087\n10124 47492\n14971 36421\n465 23774\n1457 55692\n24109 71449\n15143 57785\n42638 65915\n91554 95239\n27395 36871\n27612 65748\n88531 97639\n8671 61446\n8108 13433\n37529 77561\n5666 62676\n49414 52442\n18273 49952\n16823 36339\n94245 95007\n60436 98218\n18077 84370\n3607 14148\n41901 96032\n29941 64004\n80933 86017\n10373 76798\n28032 81566\n45016 68459\n28073 41105\n20276 95134\n18586 36647\n36175 87699\n4050 77469\n79518 85377\n35412 70686\n26866 34853\n14704 91339\n33778 50603\n62911 66616\n25784 37422\n37028 63060\n49461 92203\n17822 42093\n11625 97291\n60278 99082\n29269 70983\n71808 94504\n30015 43893\n25501 26698\n76820 78848\n4888 74791\n76516 79957\n44274 56955\n33211 66152\n71375 98852\n5669 87790\n84204 99853\n49421 54645\n7302 48761\n60142 75065\n28844 95385\n15051 84514\n12269 40421\n4577 94018\n16170 27105\n19581 36207\n18077 49242\n27566 78399\n34741 86900\n23857 30092\n11750 26561\n79888 89300\n17612 19961\n10228 41652\n4306 86249\n28412 70863\n35883 87825\n73322 87796\n13929 43012\n26288 80507\n21615 67926\n35484 82762\n29590 94246\n51099 99781\n16019 41647\n36355 86429\n28764 71720\n71122 90456\n43459 99478\n49216 75372\n10309 52664\n75196 89518\n50966 60865\n14812 71630\n38841 75146\n19159 62468\n90331 95366\n50285 99974\n8415 35550\n24510 83142\n37983 91188\n12489 42162\n3774 18889\n56789 91914\n63594 84897\n8485 69938\n32181 83868\n48151 76242\n2948 46202\n1042 27026\n38358 76638\n64653 68155\n73891 96478\n1276 16435\n22857 54799\n75038 78919\n14767 85656\n28564 39848\n29584 67627\n16728 25018\n62871 63512\n47849 67261\n13422 55049\n80244 89859\n89655 92024\n33574 58432\n28134 51717\n16255 76040\n18701 32975\n54317 83028\n72469 90374\n6463 21602\n64351 73672\n25512 57878\n49501 99085\n21612 73743\n11222 48737\n76288 80618\n59167 79536\n10586 99638\n31568 45857\n38038 95786\n22111 56363\n21349 36255\n10902 87444\n44942 61620\n75675 94633\n5319 63977\n45614 71037\n37957 45827\n39306 61569\n61580 70253\n7171 81939\n29054 78518\n4997 91211\n43504 94997\n5377 5459\n63131 93912\n49920 62455\n22362 58350\n17734 67956\n83901 97329\n25558 88580\n23944 43713\n85747 96157\n27583 53586\n70028 93979\n18806 89150\n23884 87891\n35126 61816\n14828 84610\n10298 28110\n24107 24317\n31636 78378\n17655 31932\n41138 94653\n63249 74558\n37167 48916\n77797 92059\n50034 84132\n13692 70740\n40308 41013\n4571 64158\n19370 99139\n6060 21667\n28887 97521\n25653 51735\n79508 97003\n16479 20997\n71477 86526\n22739 59829\n691 81829\n56691 67585\n16351 90033\n44147 77213\n9173 41294\n32853 71703\n54600 87880\n40197 95184\n52178 64442\n83309 90957\n3995 66965\n12650 33822\n13327 49086\n26348 57393\n21989 82864\n4139 93228\n19695 27146\n1630 20603\n3177 40515\n6877 34649\n65833 97199\n33577 89034\n24955 69260\n22612 43507\n45553 94542\n19427 78564\n42230 62007\n87616 96441\n17814 83807\n53197 92696\n29100 37104\n35347 44605\n1115 16168\n757 31178\n7855 16103\n7844 11283\n59587 95110\n87010 96855\n13481 25437\n34421 60150\n16789 65237\n29228 97739\n18722 59017\n11353 44667\n45962 64088\n33906 79656\n62360 87690\n1268 7245\n37219 81262\n51097 97044\n44505 61714\n82124 88779\n46112 74886\n5428 35850\n66111 97674\n75394 87788\n24514 89954\n28337 93604\n7213 19194\n52393 92490\n4512 77646\n9040 83553\n13351 52389\n38465 52412\n11132 57838\n3349 51830\n31919 34525\n41511 63822\n46646 74815\n2491 89807\n11863 94877\n17174 84049\n7657 74063\n38921 99598\n4452 42087\n48588 71559\n78470 83636\n9968 34711\n31730 98332\n23161 27239\n58496 95240\n50930 72210\n18983 36168\n35334 97995\n4737 17069\n41007 57990\n8672 87873\n1919 91915\n8823 28947\n50422 80430\n11350 74039\n2550 53182\n2780 69939\n5873 14026\n83282 98173\n89746 98038\n40640 41812\n80975 84295\n9270 46373\n25296 73074\n37007 47179\n44327 78835\n48249 61729\n17929 80401\n31154 65115\n46511 66540\n14177 61878\n86616 90540\n53142 86481\n59590 64056\n38882 49832\n23244 26677\n49278 89752\n79719 97726\n65613 84958\n60913 72482\n30872 50093\n31290 46507\n9494 61849\n68418 71478\n11757 98537\n17732 77328\n31752 59604\n69065 93513\n24563 70034\n12980 95235\n79617 89568\n8474 74367\n15850 94101\n13390 83112\n63724 93292\n62363 81522\n1201 3937\n87589 99285\n34463 73909\n38334 96007\n5006 50220\n84019 86904\n571 29377\n43414 84820\n18726 59930\n229 75703\n11962 55141\n40763 79246\n25842 79464\n1819 65384\n35912 70209\n897 79564\n12840 34500\n65284 79967\n40731 94562\n33865 51056\n21213 24820\n22145 73204\n36128 65171\n50402 75651\n13084 19318\n20007 95568\n9328 10573\n64747 87642\n62642 66635\n48507 53645\n21302 87930\n1671 15438\n13051 52886\n68407 81943\n57838 65967\n52643 58411\n16049 29900\n32389 83724\n17768 32685\n29293 29572\n32057 74610\n1043 60032\n8280 20434\n4671 93916\n13957 98647\n55105 95504\n17872 26873\n41950 61305\n38912 69190\n77022 83668\n30729 32663\n51813 70516\n26991 76361\n94902 99730\n12209 32660\n240 46084\n73986 76162\n14744 95840\n5456 12679\n47096 57174\n1536 71559\n1637 90916\n42061 90094\n9552 62228\n46158 83313\n5173 30936\n51298 90358\n2214 75125\n19271 83742\n589 46041\n37492 55279\n61224 75493\n35078 46936\n44899 83620\n54702 62199\n27328 98282\n59258 59581\n25586 51224\n7860 65447\n44964 49363\n24389 61118\n30063 76856\n4142 11695\n31694 96362\n48022 73719\n36249 53492\n50409 55238\n66491 80008\n5139 68227\n19122 89552\n1997 50011\n12505 75451\n74195 90591\n60843 85645\n62467 99685\n28591 94484\n21481 65814\n45049 51679\n25149 58162\n26518 65573\n5849 95837\n33635 95888\n29918 66138\n13631 56577\n26019 28958\n27446 82484\n67168 80795\n39716 99719\n35551 87426\n21010 84647\n8310 94207\n16628 50061\n83108 90779\n3791 24578\n72987 77435\n40664 63436\n19935 71620\n62349 85273\n23921 68548\n7923 37979\n68190 79193\n88852 98496\n90859 96948\n28436 60583\n25162 29131\n1565 93630\n12393 35086\n46880 87231\n33646 85570\n10843 75126\n263 91351\n5596 70301\n74561 84993\n2880 35115\n17014 39344\n34102 45943\n54679 89516\n54293 94502\n24671 79855\n10210 24604\n44187 69891\n9669 43640\n9794 29790\n30481 82411\n2289 81562\n23461 76204\n54308 95956\n21186 96651\n4897 43667\n52412 81410\n31533 87010\n1714 7068\n12211 21077\n44492 71875\n17279 84639\n13140 27945\n75759 78844\n16606 85465\n23795 38032\n28932 37434\n56933 80010\n20266 84472\n76139 78537\n32749 53909\n54460 98154\n39753 47764\n16057 73688\n65315 66088\n15188 22926\n21458 31175\n42308 65362\n69788 75094\n40575 96957\n7048 40704\n47400 72609\n74667 84433\n15486 23062\n62206 83119\n16882 99088\n56447 95228\n2951 6992\n8258 46445\n53507 88938\n4213 39231\n24649 28690\n75497 94023\n26613 63115\n13656 37355\n52606 60412\n93016 99421\n7867 41307\n85236 88772\n54442 95140\n26463 57475\n18110 41792\n76675 92221\n11064 86010\n6564 85513\n70072 83381\n14660 41526\n32262 89821\n79516 87895\n22046 86213\n32365 43393\n21554 26139\n60416 93322\n83367 90158\n78684 79870\n15883 75765\n7338 29038\n467 12026\n36742 65490\n11902 70255\n29831 34132\n33611 84471\n47484 48375\n41571 81966\n24662 49771\n51838 61192\n81008 81110\n38039 60122\n27203 64003\n3748 71433\n782 98102\n43851 45458\n3682 22277\n11871 92415\n8279 10337\n58341 98172\n5276 83242\n1660 58881\n30396 51744\n35839 39517\n40098 70699\n8052 29892\n50148 51697\n30174 79760\n54052 92909\n19730 38199\n33170 76428\n84850 92175\n48196 71185\n2029 49536\n4187 17588\n32258 72291\n30092 70070\n37980 49929\n33563 95502\n56548 88802\n56597 74292\n68091 83786\n29535 86693\n55455 87079\n831 39185\n57653 57836\n22934 89330\n73283 98694\n11163 89318\n29886 85168\n68609 82057\n18947 69453\n60379 86936\n9210 27542\n27216 61741\n10868 31609\n46721 64688\n85377 94818\n11547 57825\n41314 92784\n39108 88092\n31490 65231\n55143 64126\n17436 41139\n75158 75914\n47731 80562\n8754 47645\n12015 37409\n6114 80316\n1822 80802\n9148 16157\n8230 61613\n65633 97284\n36747 60864\n66254 93966\n27872 60057\n31870 43601\n3672 54507\n28776 31153\n90015 99024\n96600 98587\n4096 91399\n61014 92181\n61826 98171\n12406 81409\n3730 90326\n23548 82204\n839 15042\n27682 53014\n63264 77964\n39938 69521\n5549 39675\n20527 61853\n21638 51041\n25994 82594\n81087 86817\n46484 82250\n21456 44839\n64101 84394\n86720 88580\n38706 73292\n31177 32983\n24229 80789\n13794 41660\n26279 31563\n19135 22360\n38802 63546\n3344 54806\n26651 63586\n10359 68534\n2228 73303\n64805 69312\n17119 58001\n17424 57562\n51184 56607\n41925 95096\n6765 97816\n10985 45522\n6503 87015\n23692 87112\n1250 53434\n62821 74310\n22118 53263\n22466 94654\n10021 39323\n50756 99922\n74279 80651\n27417 30566\n46038 54017\n19034 79527\n46727 61169\n389 50543\n33838 48246\n8371 31511\n8972 39588\n6959 56577\n11090 28312\n29369 84077\n36166 47961\n5913 59330\n64905 69792\n29200 72969\n57043 68059\n49021 52338\n19040 90936\n22416 95815\n79411 86048\n28552 71861\n45262 61244\n50710 84158\n58839 90845\n16991 24042\n31614 98598\n57172 80590\n72179 80365\n31699 96257\n10152 98619\n755 16212\n64652 65923\n2750 90476\n79909 87220\n12666 14524\n4591 39944\n66088 83842\n21418 24376\n60693 73192\n6564 64433\n65767 79103\n5246 73505\n9201 38011\n22036 47970\n35742 66555\n55392 62466\n411 3634\n14216 24786\n15404 86391\n7088 56784\n10871 28625\n2512 71959\n12763 30403\n22099 62333\n55073 84452\n40206 62332\n76158 89350\n27400 91066\n9474 27322\n4013 82985\n22539 72674\n52863 95918\n39159 88053\n34266 47433\n3927 69548\n15258 57508\n39925 54655\n12371 25105\n2423 23805\n44479 69421\n87179 93865\n69397 88169\n13526 76471\n33313 49513\n13752 99849\n34948 84759\n4455 6844\n15688 89606\n22212 65183\n32198 91299\n30144 88542\n24161 92135\n2018 19916\n37947 48679\n2876 51046\n40904 47344\n72145 94148\n5379 88332\n39590 56504\n30862 62710\n43084 46381\n80693 86362\n11452 65028\n102 96197\n54667 57687\n711 77687\n4247 61558\n2808 70966\n69435 70525\n20663 87325\n17202 26958\n20094 49036\n32955 78905\n9734 22877\n63962 76364\n22987 78024\n23193 62845\n33152 54706\n74044 86477\n36205 59309\n32929 64553\n80482 90278\n40675 74126\n66425 68521\n19608 34280\n38836 61749\n56178 93389\n14950 28269\n9032 38705\n16589 66335\n87736 98775\n59430 76072\n41019 69087\n29168 55714\n28080 29232\n57946 60830\n92925 95708\n19140 55383\n24972 83463\n773 31657\n29041 74517\n13434 29976\n16863 76107\n15063 43882\n28172 83505\n22917 39186\n25816 86525\n85345 91241\n10188 58903\n62427 81613\n18147 37188\n91496 92964\n75796 98628\n1835 43392\n4675 39841\n24519 84854\n33519 96975\n77200 78566\n12182 97975\n9872 93556\n14878 58708\n38608 47733\n53386 69029\n28741 40291\n9152 81423\n38386 98830\n46006 58728\n20347 84371\n7467 26914\n37109 73717\n84023 97889\n6095 39396\n11029 66271\n34972 89236\n75193 82423\n10797 70334\n31335 94215\n27952 58076\n14066 36466\n76826 91831\n20586 37188\n13619 46542\n64019 84659\n50145 76369\n34220 63870\n27534 40772\n44866 56572\n20700 99960\n62388 94143\n26942 66174\n68413 91219\n24050 61727\n47083 56460\n5986 67886\n35284 78338\n1516 89700\n36228 41425\n22499 70521\n6607 48175\n32984 84141\n19561 23400\n27872 94581\n41313 93391\n45080 98532\n45272 94165\n22873 96897\n29066 63305\n75042 87961\n89065 95310\n21071 66707\n10752 12478\n31860 80663\n25910 62362\n41922 42080\n1335 9390\n19541 91133\n18800 84218\n76882 83927\n32186 39304\n82228 85919\n3190 43584\n11782 19896\n77739 87117\n59383 80023\n19160 56803\n63744 89015\n45642 81793\n33864 87353\n41331 95407\n25938 74523\n16668 44649\n25294 40163\n54725 68033\n4567 60538\n67169 71794\n69916 73788\n27588 86543\n80199 91164\n57790 91454\n45965 76343\n61317 74322\n7012 74408\n11343 63528\n37698 42125\n73482 78708\n10048 47880\n18318 30474\n12955 83826\n8721 79812\n15486 94042\n2225 64965\n79815 88359\n3976 24199\n29692 39494\n981 5756\n45387 74141\n42582 54855\n7555 31783\n2389 69214\n31628 36695\n37760 99002\n26893 96023\n48350 95000\n9008 9074\n13599 20075\n10318 98768\n41907 92730\n46709 51820\n53511 56884\n36097 80738\n42095 71108\n9780 38111\n42602 78009\n50967 56763\n59108 94976\n7418 36087\n23586 55955\n10295 30774\n49437 61376\n50434 93686\n51636 72755\n62427 99097\n1096 21962\n75806 86327\n4824 75198\n16852 64426\n56243 96585\n43525 69374\n18155 91219\n42345 98313\n55417 99548\n39468 46727\n30457 34272\n35370 99472\n15736 81481\n29902 88396\n41741 56372\n15585 91177\n93800 96824\n56018 77681\n34501 95366\n93629 95116\n515 69127\n8190 57228\n32680 85797\n21834 62269\n53708 56032\n4543 35683\n75465 84676\n46945 48911\n44570 76490\n68310 88926\n39438 39576\n36670 37902\n27822 98559\n53971 77185\n3049 14976\n16566 18862\n6661 78209\n2121 53999\n3695 17175\n39998 59108\n79362 98409\n31930 78144\n7619 10429\n15244 97279\n30805 58358\n39221 88485\n80837 91271\n3079 91655\n76201 78789\n38675 51517\n38743 42223\n18618 48507\n23669 63793\n38804 91759\n19510 40395\n4112 43954\n69772 74821\n29002 65062\n25170 59763\n6633 35631\n2711 73628\n38612 42833\n2270 18423\n9607 16038\n52087 64057\n319 29871\n5680 94589\n49683 97340\n42265 67337\n17502 38580\n69375 81370\n86431 93023\n2210 35192\n23504 78761\n26524 34165\n73269 76921\n10563 43027\n57827 61513\n66783 88326\n30139 60817\n26432 90594\n15062 61244\n28927 36432\n68241 71702\n25155 59322\n16446 74648\n26047 28033\n20553 52320\n16226 52056\n39309 92796\n63456 77348\n9185 47535\n3509 59906\n45954 75689\n76604 82598\n65722 66357\n1743 9836\n26682 96560\n69467 83243\n73369 88009\n29151 83305\n7938 86348\n3030 64974\n52780 72242\n59295 68644\n97643 99649\n26089 85573\n70856 71466\n16880 42819\n44407 84252\n12721 98465\n47523 70114\n76347 96730\n24029 34437\n2537 42947\n40819 72929\n8074 66471\n58921 92538\n38175 51443\n30927 38778\n23566 89292\n26753 33309\n33769 67880\n20030 48697\n39088 90528\n86546 88978\n59295 86495\n49135 66062\n20378 36701\n22081 87597\n35034 62988\n23750 47946\n47337 82187\n22026 41975\n268 59024\n49099 78238\n23020 77101\n72800 75051\n54877 82639\n51311 51385\n21145 77916\n25148 93928\n1168 18132\n23509 43648\n13809 65446\n30499 54839\n19477 75280\n21485 70696\n10432 90279\n58987 97051\n17604 59834\n71715 79240\n11667 48842\n44112 77443\n1154 17528\n35500 59626\n49361 76496\n23062 26819\n18173 70009\n26626 55022\n30661 68055\n65695 88936\n43463 56380\n46600 93696\n8539 39819\n32106 52773\n54287 77171\n6374 35181\n33102 75532\n32867 35284\n40918 59877\n37814 64459\n55806 87867\n9902 52578\n50086 71472\n30160 56067\n3396 80415\n10362 45631\n58731 97227\n15174 18786\n26568 94399\n794 10255\n37308 84401\n1740 89551\n2750 94953\n25909 83813\n11676 39470\n926 16291\n3859 62793\n14418 60750\n15004 75148\n63791 90798\n10052 21419\n384 4286\n53220 53429\n31676 50671\n32497 34996\n3616 51501\n50434 77120\n37761 80469\n24510 73549\n22128 64426\n48745 75923\n75559 81065\n69561 69768\n61078 97467\n23780 48208\n57949 66504\n53404 72375\n87035 95286\n25617 27678\n9602 70618\n43125 43724\n15002 47016\n34864 52316\n1523 96578\n47212 75561\n7871 24999\n54589 80687\n55501 96286\n15882 86232\n17242 60666\n18571 42966\n25272 32309\n26885 35229\n31999 78320\n17987 23963\n71658 76777\n23561 25906\n38567 56985\n32591 45378\n47486 81701\n61451 76589\n12965 96498\n26271 71797\n5367 84796\n5655 29472\n32733 42440\n16262 57955\n23073 23286\n67008 89021\n73036 89565\n10185 93557\n21271 78907\n51566 81482\n41630 61046\n27219 85366\n46916 62976\n53595 82909\n26518 75573\n18374 78320\n29204 57329\n9895 98305\n36814 55244\n38134 99832\n24398 80028\n47188 47429\n47254 48881\n31515 97100\n73718 91360\n28534 88253\n17092 41123\n13089 68427\n43061 73716\n2122 92748\n27537 51021\n73347 87322\n10019 89019\n69516 77170\n90565 93241\n60662 78506\n27733 81112\n50993 60648\n39190 94320\n56247 66375\n7269 65578\n27090 30031\n71428 78155\n7525 55628\n43449 53669\n26265 59448\n21013 68648\n58394 58906\n97015 98646\n28915 69276\n22017 43840\n68759 96419\n41999 81949\n25818 85982\n77299 87091\n2352 69477\n37646 87845\n33504 51849\n79647 96195\n253 26116\n33688 62160\n62122 95826\n3318 29830\n41148 62557\n69498 81766\n20061 87393\n63587 68665\n64590 92421\n35128 78825\n20080 88180\n12651 28972\n27038 37189\n10604 90572\n13850 60864\n31179 55488\n76705 82006\n70258 79193\n19362 73526\n4430 68665\n43295 98321\n10043 62076\n33423 50045\n11005 29647\n47892 63978\n69105 82779\n31580 97449\n6423 62885\n943 2060\n45608 96545\n24240 94560\n2116 53900\n7911 9130\n33668 94767\n65953 69158\n11824 23825\n24031 51924\n20956 59745\n260 13158\n24789 30593\n810 77968\n56210 63876\n68337 73584\n60320 98632\n14854 51040\n6219 39170\n33167 34205\n9145 95033\n5943 98976\n1814 95442\n57153 65788\n36998 94503\n21802 72172\n1246 97667\n74807 88429\n45583 64050\n54066 62868\n45624 70054\n50667 63643\n7276 89314\n21001 79604\n91377 97089\n64192 64536\n13934 14324\n16354 60264\n29255 62565\n26068 32940\n59866 98202\n5470 9471\n3841 28737\n21336 75087\n64429 68504\n63102 85489\n32965 94793\n9291 89043\n58766 92262\n2732 62526\n22382 96747\n34941 64717\n25845 60977\n10128 24062\n74884 79591\n3128 43042\n28850 31027\n19146 19172\n4960 82123\n77287 79485\n14045 89615\n13908 53024\n3356 47710\n14323 32415\n36933 45371\n21229 50006\n26860 64402\n71997 74373\n11985 13405\n7392 11602\n2551 70563\n74779 89244\n9250 13843\n49992 53102\n34560 88697\n42356 96470\n6847 41942\n11761 65078\n20935 61926\n76586 86255\n11821 42449\n28162 98344\n37375 47612\n87288 97124\n57901 77457\n21752 75275\n82490 89220\n49062 53304\n28678 46735\n82332 94773\n73967 88177\n53737 93207\n21112 48089\n27642 57979\n59350 78390\n20833 85358\n76180 80725\n13938 33347\n58798 88956\n71704 86632\n18604 47560\n34335 39627\n41171 80835\n26960 93285\n61972 72276\n21678 41315\n41388 45968\n18000 69886\n63722 91052\n25444 71052\n60387 69458\n19255 92979\n30077 42462\n34567 99517\n26308 39551\n32338 41564\n44901 89543\n15835 78850\n61967 68104\n34202 81055\n1619 24286\n55404 83002\n50867 64338\n4267 40695\n69248 99330\n73328 92017\n1324 24975\n81525 87725\n5983 41229\n6556 16807\n8069 92286\n55834 79934\n42408 58743\n6212 83243\n46922 70709\n5312 92320\n8893 36314\n6970 89121\n22588 63237\n42859 99713\n67066 89839\n15761 62346\n37043 96242\n21638 44718\n24654 26373\n20796 75739\n58842 62030\n31792 49669\n47680 75453\n77630 82876\n88214 97969\n61604 74261\n53978 70898\n39948 91251\n31308 93964\n19383 52326\n62862 82062\n33094 49523\n17810 38876\n13908 72067\n33647 88798\n55666 90922\n44144 87304\n32430 41563\n9715 42869\n82953 90244\n31786 57834\n82832 94789\n50432 88894\n5644 18547\n36200 63496\n32144 88846\n35124 66043\n69976 75653\n59139 84652\n71520 74696\n33304 47102\n39811 87591\n16645 82510\n65141 92154\n23207 52042\n3785 72431\n1517 37822\n79099 95081\n47842 89999\n35410 88017\n30887 60130\n8841 70760\n61127 84754\n68658 87141\n41931 90943\n21404 87367\n1532 97498\n27993 29721\n14982 25204\n16493 79516\n5474 62384\n77339 95846\n12355 75717\n57149 85873\n16219 69951\n18089 90792\n7737 80435\n50359 72414\n27041 34340\n84708 96539\n54316 61590\n45376 81062\n61658 78421\n6391 39218\n70756 90811\n50582 56334\n38112 66296\n34646 83080\n23665 94000\n35317 40146\n46711 83771\n45875 77337\n53468 74864\n23563 42822\n36091 86735\n18762 95437\n2995 77326\n39924 85885\n48606 55969\n43975 75974\n4586 31495\n25804 50212\n26913 32692\n366 32437\n4812 95563\n56558 84235\n32108 97843\n12980 49878\n23759 80813\n15839 82892\n38312 70669\n54135 89560\n27083 54533\n19434 24789\n19919 81703\n16261 33725\n34969 48709\n19459 22201\n87062 96883\n80533 94744\n62203 69798\n19310 42440\n12885 42508\n31243 95441\n13343 93149\n11343 19636\n48372 89285\n21846 48911\n18102 18379\n31974 69175\n10177 23045\n45484 49361\n68628 72864\n16188 83353\n8871 23290\n16876 60437\n7822 81429\n30610 37740\n15475 49772\n38481 73387\n39863 72637\n77053 79668\n40166 94552\n33487 68561\n73245 73519\n12385 73974\n54303 62601\n62132 89119\n22739 41604\n9691 67521\n6741 80193\n7624 24930\n45738 75982\n55661 72081\n9951 48808\n13136 61929\n24844 77445\n31132 73086\n13651 56830\n1586 17419\n18943 32328\n80263 92653\n40518 59935\n2124 46758\n66137 68341\n64737 80246\n82722 94516\n52752 89581\n61456 74775\n31613 81427\n29197 59269\n51948 86060\n72990 95517\n37164 67447\n7813 67364\n5125 56227\n19152 97388\n28417 70689\n58633 64611\n61370 62408\n14513 43480\n26233 47366\n42367 81005\n40388 68971\n50651 99026\n22650 69817\n17134 92452\n36347 74813\n20797 90961\n62050 70773\n12678 48791\n43927 52181\n9213 34295\n16971 92704\n69094 94543\n29254 79933\n39890 48264\n20139 78080\n76352 86086\n3204 95486\n32224 88260\n84123 95063\n7398 85873\n23330 86931\n35388 40853\n3892 35984\n21696 33871\n80105 97143\n37478 87454\n19468 34882\n32246 95549\n30215 44390\n67874 79978\n70801 74452\n17191 85195\n20180 65615\n6032 36541\n11575 38443\n18240 92339\n12284 83954\n33892 92698\n44655 64723\n39791 53799\n38854 94385\n11472 64602\n24659 61957\n75465 75714\n61565 82047\n54763 62402\n14198 65654\n42171 93887\n19059 82433\n39140 55217\n27319 67479\n357 74372\n22495 48792\n24040 97806\n11018 18717\n37260 98533\n2978 92533\n29438 47684\n49563 66313\n56216 85001\n229 41876\n71472 84719\n35098 51486\n96208 99441\n78108 98423\n3880 42518\n18126 71204\n1828 31259\n58312 82983\n77322 85745\n57659 78194\n65761 70712\n18067 51658\n23333 72271\n8471 35961\n47438 95088\n28253 48032\n24994 44031\n60925 85667\n11177 83145\n23574 59326\n65884 81915\n39831 62296\n43076 78879\n25344 51980\n7495 19439\n31924 77348\n79651 91876\n15421 25207\n17344 44195\n52051 92831\n35536 66209\n54239 76471\n79162 99690\n86441 88868\n63882 91539\n17504 95632\n5986 11931\n23793 37380\n32801 81464\n11847 17480\n53375 70961\n9336 95101\n42697 46434\n28206 46378\n4088 22101\n34531 40222\n63146 88734\n53546 67368\n42093 95973\n36773 97297\n4739 90998\n22148 68165\n35623 97095\n11565 61490\n1354 26727\n52110 98062\n45723 91368\n1466 6406\n24227 56551\n13930 42965\n39622 92301\n61815 74916\n7696 45515\n37157 88510\n59031 78241\n41249 81615\n30357 75942\n76576 89973\n72172 76906\n39430 47052\n33126 96503\n68474 69045\n60440 87916\n6312 58327\n35149 60006\n21105 96297\n31532 87495\n33969 95517\n56779 86696\n79861 86959\n39146 53607\n9759 81076\n70632 84683\n7471 10913\n35704 82990\n83458 92669\n55614 57332\n61115 82199\n9837 84265\n47964 76625\n4682 75943\n6595 45417\n77689 91439\n42735 64236\n1826 31542\n16127 44061\n26421 51559\n51076 71549\n34202 68893\n78462 93747\n7797 15380\n1358 22741\n70407 79149\n12851 30151\n11395 77444\n52491 94857\n115 52566\n57770 58789\n31225 51899\n7541 20453\n17463 29171\n45011 83031\n7053 37319\n26676 93972\n1334 82028\n8174 19595\n2148 99162\n46031 56773\n43252 78022\n71105 90142\n42754 43521\n40465 60251\n87642 98529\n77666 99303\n47277 74686\n52481 93928\n38158 54435\n78144 98934\n4799 99171\n81183 81539\n82728 83727\n8159 50669\n26251 53132\n7218 20895\n44635 94089\n35374 55173\n64603 96758\n24200 76808\n70389 97259\n31742 36214\n8525 77840\n47105 87740\n34515 74317\n25231 32857\n4619 97392\n25184 41351\n49578 76206\n42967 97024\n7652 64136\n15924 24641\n24247 28396\n85582 89575\n77018 84619\n49896 56709\n10323 50424\n10854 20421\n76370 97637\n7611 56375\n30793 49358\n17257 82317\n36945 85436\n39182 83535\n36844 59313\n37989 67912\n38798 76829\n35676 96474\n82834 98799\n2408 85477\n2404 76799\n26179 95370\n84296 84495\n27489 83026\n46001 69828\n63107 95993\n10229 20060\n53854 68149\n5574 31387\n23550 46406\n82583 99637\n58843 98633\n9809 67868\n28916 76272\n8516 30131\n3534 15426\n44329 95906\n48161 75656\n48502 81818\n696 74868\n9590 25286\n36293 63813\n75955 98651\n61372 68692\n51489 71222\n79873 87225\n28000 38485\n45193 58431\n3144 99197\n50647 65583\n2917 25456\n34967 88766\n84658 94482\n37079 94736\n52765 91988\n83042 85006\n14380 20393\n16827 42609\n20210 92536\n29641 51646\n73274 85342\n58819 78376\n15681 80119\n73099 84794\n30790 34627\n11438 74349\n48440 86021\n30187 61435\n14522 88687\n11119 97327\n12179 47518\n40251 72127\n69016 87576\n71143 97929\n14662 94668\n27981 47208\n4532 79638\n16303 76904\n7953 99640\n44017 85710\n74896 79578\n40478 83602\n8837 45003\n14483 14863\n29241 46481\n6389 19053\n67897 83504\n8530 22610\n13241 63282\n19603 71596\n50886 55566\n17491 54484\n3513 18860\n59430 72239\n13185 25287\n5159 55213\n73307 74033\n21199 40126\n50863 95814\n47377 52871\n42794 42908\n86539 97381\n7763 15932\n58226 82719\n2739 98804\n57196 76815\n17009 45772\n35831 81073\n1906 41636\n7459 92985\n69743 81596\n35896 66342\n43119 86125\n86 40684\n32800 40883\n41970 90266\n26708 93037\n7038 84808\n25397 59682\n9434 28919\n12038 84846\n68557 84965\n36048 63077\n4226 46492\n53553 60801\n96555 96763\n78408 89381\n7328 65925\n32629 76248\n25379 70658\n16360 89411\n8182 44166\n8280 64967\n56237 94979\n60787 71661\n10477 89020\n81953 92529\n26282 57897\n3095 19703\n5071 8063\n96793 99978\n9164 17616\n24752 85734\n12281 27415\n84006 92392\n80786 87205\n80936 86951\n2172 20150\n48647 79793\n30577 59148\n20842 71115\n46416 74032\n19576 60115\n41817 85706\n41827 52041\n17285 63597\n16032 69005\n22158 99842\n16383 55742\n15002 38926\n9133 83779\n8407 17969\n14514 27423\n40697 57655\n19652 71333\n22283 47272\n12106 44539\n18190 97206\n31088 33595\n80700 87079\n66416 67659\n6164 48884\n38050 82115\n17021 52379\n16272 26436\n16041 58978\n68828 91693\n33257 54994\n32109 92462\n760 15814\n83479 97381\n4579 63467\n80694 95319\n71937 98632\n69958 83818\n62250 77609\n57421 98760\n65573 94382\n12362 85032\n26795 65368\n21696 92208\n51474 77986\n46824 63126\n3546 68176\n18234 56242\n41515 96671\n31936 52560\n75892 79024\n12390 55703\n19278 80027\n10324 85451\n56303 84203\n25241 73995\n24714 83057\n35391 65252\n3522 26727\n50552 61108\n64575 80861\n80458 93113\n20516 76012\n36712 73604\n61568 71441\n66418 86108\n35543 39787\n5233 54066\n10716 26414\n61735 69160\n33510 90975\n36901 47166\n26315 57178\n53984 91047\n30869 59245\n44508 85916\n4663 13928\n71975 96795\n46747 62641\n47143 66991\n15520 36113\n2954 99123\n42945 52290\n95432 99029\n14902 21641\n12676 49593\n44035 62355\n7572 79507\n51080 94551\n12680 41524\n1233 77347\n8373 44851\n4770 90298\n31451 79201\n846 18819\n1048 22751\n17727 25725\n72566 87377\n13866 45120\n20595 70088\n46899 67992\n72532 93840\n54785 85623\n44586 84215\n45159 96357\n61391 81753\n49986 66436\n1513 49740\n78042 98942\n8888 94048\n35210 84267\n7366 95999\n2517 98195\n51293 93575\n14859 96610\n48750 63611\n22290 42420\n81348 81880\n44123 44332\n32533 97333\n8116 36822\n23201 48360\n38055 89275\n43402 63482\n17216 49533\n13793 57578\n61985 74110\n63193 95784\n19793 37756\n19858 83614\n17508 47695\n47651 87334\n36292 66399\n11112 68071\n78389 83544\n12104 96073\n13176 28020\n10354 37334\n1909 83240\n7269 52717\n32303 33809\n19655 58321\n70709 97394\n22501 83540\n57845 88256\n1111 34070\n3472 5291\n68159 91854\n7267 21622\n40954 99233\n2376 18923\n302 16510\n674 44067\n20508 58019\n36116 98875\n5207 51380\n7562 84003\n67750 77185\n14823 39014\n31511 44155\n54239 73899\n1421 40156\n11678 78002\n55740 83359\n10176 94829\n7766 28791\n42272 96111\n52868 69800\n33425 61776\n26685 68167\n844 36810\n49507 83212\n31905 71629\n24168 46632\n38228 63384\n19418 72879\n11352 65434\n25684 85043\n40098 63851\n84291 97206\n52489 72527\n39904 94471\n78585 83732\n26693 37012\n29292 73485\n42197 92898\n55795 61822\n61131 86490\n18499 87737\n39141 91265\n1786 18366\n43418 92430\n71207 84392\n8622 90011\n24821 53558\n53254 67933\n2109 43488\n54104 74970\n23738 29994\n77719 84980\n51898 68713\n6192 83582\n12382 29327\n482 2230\n21634 56616\n25851 37904\n53360 94608\n25679 66052\n4794 72394\n44623 97466\n28989 87951\n26819 70475\n17980 38266\n22174 45186\n21161 73089\n40528 46630\n3576 53727\n787 88993\n2223 85787\n62999 89396\n72003 96303\n32255 59446\n79057 99553\n46407 88000\n993 45324\n15587 78411\n37148 73051\n20937 81764\n13457 29259\n15684 17989\n184 30539\n55870 61380\n13213 76393\n30517 40258\n10332 70443\n11199 87922\n23223 49725\n40779 90564\n61300 66771\n71563 97675\n52722 83466\n63409 82153\n38537 75886\n62025 79600\n4062 88305\n88767 99742\n75119 97613\n32446 32484\n54498 64763\n48904 90331\n27504 74711\n30942 98553\n17206 56068\n35757 88782\n13270 49451\n8117 61692\n2658 38576\n62316 85225\n41889 96575\n41234 90541\n92947 95533\n50090 84697\n54127 75808\n50918 88448\n2029 81363\n63241 63247\n86626 95442\n2201 52796\n96901 99712\n60387 97791\n70667 79641\n11013 46565\n9216 82241\n62083 73723\n42112 63880\n75875 97174\n1109 2844\n9367 74613\n16124 38629\n24195 99584\n2318 57703\n76251 85037\n41729 94586\n46970 73942\n16919 94828\n28044 59771\n28579 31587\n14489 98475\n38581 65741\n23876 69292\n45599 86773\n3956 50764\n291 39869\n76881 87645\n55410 58596\n41490 44742\n24432 72768\n51500 95000\n65380 66676\n18906 93729\n11592 26569\n56283 68834\n36469 70490\n33842 66622\n3432 68940\n1746 73009\n40334 97253\n58590 84866\n6390 60541\n42395 86452\n50916 98912\n31036 43776\n14745 94867\n52354 95541\n29451 45763\n31462 77087\n9424 42497\n11133 89666\n9245 11488\n37190 47106\n35804 90247\n26538 52081\n15854 41667\n24069 95710\n78870 86341\n7503 64567\n17153 51045\n5022 34707\n65573 68949\n342 62587\n9335 48280\n28312 96507\n65336 94705\n61511 83042\n76490 78484\n12013 33090\n28926 77232\n53325 67769\n45055 45422\n9102 87583\n41440 53735\n58352 98310\n3270 52665\n16845 90253\n3696 14150\n25140 60893\n30359 58796\n35225 84466\n34424 51646\n60315 71144\n6327 34818\n53846 89898\n79853 93410\n36134 92716\n50859 78307\n38528 73782\n14427 40697\n7650 91322\n5860 77211\n670 75518\n63690 84963\n12499 64339\n51761 75361\n23979 98707\n29217 68381\n43515 78834\n48339 61593\n68223 83265\n47993 57206\n44393 53475\n60653 74523\n40245 63515\n14437 71944\n5038 88006\n2344 38164\n35913 62323\n77693 85049\n4971 18683\n66039 86121\n29888 54871\n15180 15957\n66226 68459\n43055 89484\n35584 92401\n34440 81954\n27959 32345\n17561 62178\n78358 83947\n76192 85466\n45251 73394\n48418 73952\n40197 67521\n6275 23620\n19707 70605\n55790 77769\n15705 44518\n11043 47217\n6590 43267\n2989 81241\n69566 87352\n39131 73511\n43956 46436\n58931 85604\n47355 67597\n23132 88486\n25176 77190\n3713 94497\n28952 83273\n38673 84217\n12547 93828\n40814 94750\n57449 91424\n3669 45128\n57948 90975\n44577 80979\n1422 92469\n27182 29304\n5589 68649\n35070 90584\n23613 34016\n39853 70017\n664 7726\n21317 97935\n57372 84044\n9990 27077\n43777 96037\n48576 88617\n23168 65286\n29303 77235\n2526 35333\n6443 72536\n5125 88884\n31258 89457\n47037 62041\n77665 87408\n29409 71989\n7482 84908\n42297 74349\n92195 93126\n12208 79896\n48246 73672\n3382 52141\n32815 46527\n35487 86138\n7853 43569\n65324 72253\n24508 72304\n29308 76322\n8288 69044\n30701 74974\n26268 67775\n30422 75667\n50239 82391\n73446 86892\n14633 61436\n46801 69698\n20884 87427\n1305 95457\n55474 74647\n5372 98400\n12965 32765\n16365 89712\n15427 79673\n1391 74719\n35032 92519\n33591 63617\n20273 97524\n31395 68761\n66743 84569\n13678 85189\n28205 60377\n7183 16658\n35392 66071\n46485 83669\n53330 82867\n40234 74978\n31385 44329\n7184 79695\n4461 13235\n16803 28401\n3710 59116\n59721 66345\n23990 27567\n23299 37009\n13136 85001\n20831 56668\n2140 67127\n31815 79864\n1027 38929\n35574 91713\n73686 82009\n12002 15927\n9200 85753\n6297 22251\n9547 89350\n621 50465\n43966 88584\n3308 17550\n51689 64959\n6273 65280\n25392 54543\n889 78514\n22300 32717\n57062 71105\n31444 34897\n31019 85755\n13538 50821\n89459 95066\n28604 56145\n44213 72652\n23380 94316\n48490 74871\n38941 82474\n6066 62369\n61561 77839\n37271 50007\n58683 78433\n22832 93636\n67326 96151\n3122 74821\n29094 41591\n15303 88796\n78635 95030\n39447 65238\n23946 47391\n19492 95639\n4866 98237\n53288 95535\n63868 85145\n3436 42411\n16074 54105\n8706 11342\n1136 88356\n19912 59138\n28221 45675\n38054 72394\n16966 98488\n20141 42728\n34098 52451\n52268 95545\n91154 94454\n10043 85792\n4486 48945\n21043 51282\n60344 73088\n3191 39281\n33250 34882\n61647 63634\n27462 47674\n4273 64232\n3106 50099\n39122 81715\n7962 43716\n64094 89349\n12549 90209\n75799 96692\n19639 25042\n21060 88322\n21800 88485\n6111 49799\n31911 95163\n3778 70797\n60305 60585\n22306 26280\n19571 42501\n41292 72767\n22012 73359\n48443 89926\n36514 88615\n32014 50730\n19326 52323\n2212 29726\n86487 92207\n718 24726\n20784 68682\n22579 46992\n18297 55045\n17929 89844\n48392 69445\n33850 66488\n708 49148\n44431 88702\n60406 73021\n13751 14778\n61235 74515\n21749 44264\n71736 73788\n12164 90251\n9998 56671\n72282 91484\n17310 56484\n3643 67470\n1068 87940\n11848 72698\n53426 72173\n44920 97603\n22857 75549\n25306 78431\n33700 72536\n10808 14693\n19477 41062\n11010 58575\n56035 96886\n34718 45297\n49796 84733\n52191 57090\n3404 4131\n4850 70134\n38486 94983\n21426 86600\n2997 25268\n50341 85147\n60318 73927\n13015 20815\n14582 27391\n66541 72863\n26689 78655\n5475 72368\n35579 52468\n57414 89866\n83455 97390\n4105 51707\n25054 89718\n13430 61422\n43053 60590\n65365 77194\n2008 27846\n8556 58187\n7366 52066\n22209 66826\n9074 42158\n53472 86975\n46939 90503\n67251 85182\n20115 98503\n39176 92727\n8400 33381\n29445 81565\n45981 78720\n19509 67308\n22113 57660\n59251 72392\n39848 51770\n9848 44140\n18333 81186\n5055 21440\n24274 79578\n60985 85777\n35514 43484\n11456 55777\n66595 83743\n58484 64002\n36427 81801\n3109 84959\n21624 22355\n37089 72372\n29925 49283\n23269 59462\n11924 38252\n60396 81021\n5961 33154\n31980 97742\n43543 49370\n45815 51083\n12193 57981\n60715 74940\n12549 29190\n76084 80012\n28240 96693\n66785 78121\n30716 59831\n22341 93908\n22002 36625\n54942 55796\n22551 27703\n16064 63159\n14547 15451\n34811 38927\n52368 70442\n10598 80771\n15929 54517\n2199 3340\n63320 79749\n52405 59216\n54815 75897\n1617 65521\n73444 79024\n37674 54951\n13416 62185\n11097 98744\n59669 83118\n17415 18020\n86144 96732\n30160 80652\n43891 76262\n44569 74871\n28348 32995\n63428 99918\n28767 74076\n22652 71394\n63887 78314\n2560 6988\n31940 34879\n63917 87631\n27414 49148\n40602 59517\n15319 66432\n13508 79294\n51740 55602\n1046 86068\n44753 78335\n55049 87250\n28288 55108\n52529 93033\n25935 72851\n32891 61531\n24536 39984\n52840 99412\n63142 98871\n16254 23467\n23597 68527\n50945 61442\n10558 97052\n41928 71960\n92797 93325\n22687 30418\n1748 5122\n43158 96382\n48648 64203\n27102 67805\n19501 35029\n43327 92042\n25282 44079\n24131 41404\n45480 88288\n11203 56390\n2686 96646\n8954 29597\n39690 71223\n33298 92983\n33863 36846\n16229 72325\n27830 58953\n31830 69754\n8772 21317\n2534 62435\n21310 90104\n60866 93110\n68368 99705\n59510 63076\n2647 27452\n25558 71470\n12185 20922\n1176 7363\n31242 33079\n12532 14061\n37518 68121\n5381 43054\n57385 58512\n27024 34097\n19939 79262\n27576 74729\n22198 96138\n12594 46989\n69865 94226\n78085 91042\n46235 83245\n35698 80698\n36299 55271\n34921 50761\n39796 42342\n13489 98118\n31046 63482\n11373 33643\n72917 95210\n18198 72650\n13452 82740\n28896 68311\n25419 91487\n80023 82099\n64873 64978\n38595 82310\n63552 78312\n48540 73740\n3918 83869\n5179 36658\n32036 70865\n22070 38681\n29545 80158\n16132 75020\n39807 68744\n12576 42405\n1427 30325\n25674 68034\n3389 49874\n64409 88016\n7042 60511\n82652 92376\n30780 73031\n36242 36385\n23962 34476\n57097 99822\n53622 96206\n35763 98468\n23433 37853\n38341 81969\n15201 73470\n40880 64688\n14117 69350\n42063 44994\n20606 96781\n67867 83164\n41221 46376\n3993 20963\n63413 92987\n9845 19789\n83642 95607\n37014 66658\n22512 42211\n1952 58002\n20174 83148\n61979 92153\n67819 84255\n7192 57737\n40423 75948\n9246 36996\n61780 72191\n81660 94620\n21420 92249\n22339 62009\n18026 37595\n5869 91354\n79236 81625\n9503 20924\n76433 78327\n20240 26533\n10269 89212\n8488 54298\n1415 78402\n20491 35220\n69946 99825\n79818 98459\n49756 54572\n55918 56935\n25678 33033\n9747 48390\n35540 72239\n6756 20415\n12640 95315\n40571 44468\n2046 87143\n13076 51351\n2008 96004\n82138 98922\n44587 69588\n38151 71793\n37029 44771\n15762 77142\n9661 21711\n4263 14204\n39182 74605\n18445 34711\n15983 59374\n59363 88882\n29152 53378\n23078 53366\n55510 89600\n45844 92244\n6935 86954\n32774 83774\n66387 83273\n1470 27697\n33266 49357\n58373 95653\n818 38018\n89077 97761\n28083 80639\n26537 73889\n3240 50715\n3279 98538\n15690 46888\n41688 56885\n12377 65367\n71915 97923\n6896 89980\n91674 94191\n77159 94603\n14735 88981\n41384 71284\n59839 93476\n8635 70738\n1056 81358\n55934 97738\n3559 50902\n11463 62036\n61083 71358\n1580 48666\n32084 60040\n20186 79026\n29797 32044\n54423 79736\n28919 75411\n30905 70606\n6647 72438\n6263 87204\n11146 73495\n64180 71376\n55527 95144\n36308 84212\n14466 56333\n7683 88203\n30988 80321\n74840 99249\n2437 34852\n28166 64593\n14082 31739\n36272 97886\n34419 83117\n49052 72692\n68200 93763\n9312 88228\n43436 74142\n28270 94313\n34621 68820\n42344 52614\n49713 70993\n20967 91842\n4785 95745\n17527 46742\n14039 85840\n47496 97820\n55366 64575\n20697 87885\n10425 56271\n50842 89567\n24387 61496\n76473 87244\n18783 82679\n3046 87050\n46097 94709\n8336 93043\n12227 43331\n55696 81033\n25701 42135\n22266 33717\n43506 55834\n38623 92584\n7552 38086\n35356 73168\n78395 96355\n48707 62494\n21577 91380\n14626 47024\n6 36126\n41411 53754\n12128 17871\n17617 63110\n3664 93293\n46257 67673\n2562 30418\n26558 62315\n78555 84810\n53544 99294\n43963 63070\n24803 38811\n36555 36791\n47917 64749\n76745 93092\n60951 71067\n10246 40955\n18469 81034\n73735 85990\n8674 47905\n52073 99243\n21053 62866\n17755 41436\n59806 78379\n8970 27451\n65969 88503\n5008 72482\n82334 88571\n25932 95878\n7827 87217\n2991 90689\n77503 98178\n72654 91635\n66193 92473\n43142 80154\n51081 76594\n31173 82556\n46848 54445\n11830 34754\n51763 59067\n20187 20474\n20780 49360\n17443 70539\n62010 66702\n4102 70633\n6012 45680\n17972 94883\n80587 99772\n8176 30829\n42975 50097\n3633 94623\n38079 85525\n80827 81978\n33023 88955\n41201 56174\n66608 79656\n25578 97237\n4161 40135\n4649 18403\n4674 31576\n13509 99702\n11110 92286\n48116 92166\n55556 97997\n19996 51818\n18911 78815\n51181 98118\n18828 81502\n56321 90710\n40114 72103\n12640 54439\n16788 62847\n50454 80553\n81716 92159\n43050 94497\n47903 67981\n49147 71872\n15407 91954\n69203 83171\n15841 20863\n643 33107\n20093 92609\n22717 56967\n10863 93238\n70866 72739\n74491 78184\n20987 31991\n13367 90187\n24316 99997\n49872 61255\n23040 70599\n36302 97474\n31262 52556\n2064 45201\n18865 67010\n76527 84393\n76031 97771\n4552 55255\n15325 40450\n60951 68583\n5648 78686\n5478 55287\n47941 69770\n62322 90105\n22248 92482\n10583 22788\n80040 99309\n25149 46555\n32550 85071\n31122 76212\n1501 67728\n73159 75047\n40706 83923\n32029 62466\n83877 86229\n42649 89981\n35885 47890\n20263 86703\n798 46238\n68936 75677\n39995 92736\n65284 98658\n47748 74839\n4704 70312\n17070 88129\n24532 40010\n61171 90751\n77835 80220\n75226 75469\n13575 21899\n8229 24386\n5947 31965\n13100 51920\n25849 50248\n6350 51031\n26115 55858\n68314 79053\n24267 36535\n40256 92664\n4077 71081\n66932 80769\n36706 42597\n30821 50580\n88422 99090\n16176 41741\n18276 72331\n10003 25409\n25599 99175\n92286 92818\n23691 75066\n56750 99160\n99264 99715\n55521 79122\n23505 55500\n1361 61369\n26009 58439\n95393 97863\n2461 97891\n19530 59118\n82795 94278\n6238 30080\n10960 25046\n91256 94712\n16725 63505\n19645 34158\n30392 90366\n36653 85578\n35642 44029\n92154 97200\n2362 16309\n27095 96293\n51281 58035\n63906 84066\n8483 62631\n62304 79182\n32748 80016\n68410 98427\n62953 64070\n22812 41032\n49652 65467\n11136 54827\n17455 96494\n39920 77722\n11800 54772\n1206 28208\n1930 93567\n49905 89764\n59737 72487\n72090 90738\n32520 54388\n9316 57995\n17098 94182\n56379 60339\n69987 84421\n47622 57458\n37411 69538\n24843 88364\n32810 80124\n51616 75925\n6406 17751\n40867 52915\n42185 98575\n1810 99695\n658 92899\n38533 93005\n4297 77653\n69691 87238\n40089 73271\n21489 46881\n5217 75589\n17471 38468\n54079 56061\n27258 58488\n12132 35880\n2743 67491\n9324 25404\n18408 91264\n58366 77872\n42338 46803\n3447 10586\n25238 54251\n23677 91731\n27151 28043\n55236 76256\n1019 66699\n44039 71072\n68542 96465\n18414 34757\n7442 80181\n1812 79939\n53612 89810\n6769 53048\n53524 66177\n62515 79420\n7572 69987\n22334 69568\n71919 72305\n8032 71931\n55455 99230\n24294 89583\n54907 72054\n30318 78973\n45259 57339\n21006 23691\n1891 82048\n66422 88609\n19817 34083\n50414 90507\n24931 82562\n14130 65425\n56444 56602\n6838 44628\n43486 88504\n66845 96570\n26318 56633\n57691 70897\n8156 69486\n50338 81680\n68633 98098\n41890 75913\n17308 54926\n54636 91573\n34370 93785\n55802 76340\n57309 85965\n84755 98249\n15651 31259\n19762 48818\n32155 33594\n79392 94910\n35311 65708\n29659 40316\n5344 21200\n4391 82279\n52054 79065\n44809 83189\n20884 38314\n14132 78250\n12227 82250\n20412 47187\n80288 90373\n16067 32764\n16862 41456\n8298 91293\n79289 87410\n13325 73268\n17571 58900\n24082 74179\n66465 85474\n30035 58343\n50525 95682\n69013 73901\n54472 80187\n4620 14851\n58318 67304\n12100 86330\n3143 41992\n11371 98731\n20717 66823\n25518 79967\n52225 61776\n25515 73819\n18344 41866\n46389 85729\n59800 86864\n69649 91625\n68905 84800\n3746 79853\n46162 77761\n2814 18215\n13357 52998\n30798 92403\n28183 52648\n73749 86696\n63188 67061\n87946 91033\n16043 50085\n50211 79988\n38335 61182\n17784 39843\n37375 81813\n60972 73846\n67540 95404\n5037 38424\n80891 94719\n47839 96234\n30281 67904\n15936 82011\n7954 33231\n59603 63887\n52975 87179\n13860 86248\n5831 80264\n77848 99501\n66524 69174\n59659 75111\n20278 97691\n17503 52093\n23828 90500\n14444 22799\n23110 30049\n17409 38132\n33952 88435\n15047 89698\n13524 78725\n34553 81288\n21604 93920\n14990 81035\n49130 67623\n36312 53665\n15903 24198\n57304 74262\n19163 93638\n23915 39296\n10005 10438\n73725 81126\n24650 80326\n73555 86207\n3976 35860\n8549 85054\n55255 78250\n21815 43565\n47117 98749\n51400 92063\n58019 77016\n14600 87335\n18945 96749\n38503 90086\n18298 78831\n49784 69177\n88414 94135\n2862 12155\n10148 23501\n33501 58779\n21270 41686\n53994 94803\n39961 70401\n18843 83831\n29270 90379\n5948 42185\n11505 18503\n4218 90167\n17619 68396\n55676 98413\n29706 93964\n66730 83372\n52984 76264\n10619 93936\n72692 81213\n35742 63135\n40985 50998\n88461 97787\n16540 48847\n77852 83183\n64527 69158\n12208 51149\n13851 16168\n25671 86983\n5663 85554\n40794 62391\n40628 93770\n7978 30741\n75757 99124\n30107 38135\n43912 51826\n64943 78795\n12787 83542\n78218 84958\n9503 31734\n41017 42786\n2331 65327\n16122 67855\n59788 61283\n54439 67163\n42767 51979\n9201 52776\n11287 41242\n32835 80744\n869 50962\n49392 84877\n24309 43910\n7997 73343\n46733 93789\n40202 77899\n12727 17711\n10005 42634\n66635 78713\n18154 28673\n6122 17728\n19072 64151\n30417 33305\n7210 21889\n33503 52134\n11073 28795\n19813 62566\n29057 41928\n6066 7809\n27569 34100\n41464 95614\n6092 16099\n19691 47061\n26871 52390\n13742 68085\n44760 47814\n9651 92711\n44337 63277\n1133 75032\n20846 28569\n4677 45773\n56782 84725\n37005 71750\n12711 67321\n69372 97550\n211 49506\n46045 62056\n30188 57138\n20774 88421\n7858 72179\n17115 99188\n69680 71690\n26665 26732\n972 17429\n11847 57427\n52672 71938\n40975 79424\n23682 29557\n37900 43624\n41155 88248\n7752 85202\n46005 90853\n12652 69325\n82 92421\n32003 79799\n69358 85203\n258 30185\n16351 81386\n43154 98551\n40220 72030\n31080 51611\n42014 78272\n47878 57463\n42067 74853\n31629 61162\n55452 95887\n30179 86538\n11444 93653\n46345 85956\n86221 98419\n38638 52987\n31219 92274\n10808 99483\n8347 99337\n40965 47539\n7884 78245\n67831 85472\n14873 35047\n45708 59134\n45310 66918\n1931 56182\n83707 97296\n47513 90440\n14955 45751\n4799 61753\n39218 85494\n25053 35991\n43676 67518\n13789 65825\n37919 72753\n58130 83543\n20297 74784\n75190 89710\n39774 92729\n85508 95454\n34982 52740\n34108 54694\n23965 68844\n34532 55630\n60201 98144\n9595 95880\n52415 78509\n79103 85049\n49075 79472\n11414 55334\n18377 66643\n77393 91801\n14337 83048\n6301 45443\n41594 49155\n5719 88187\n38176 55080\n72444 83819\n36090 99873\n44054 50679\n57051 91064\n15067 35238\n3468 61142\n25675 86566\n22197 71730\n7747 26869\n22025 64934\n19079 25613\n24795 69318\n58729 82576\n33629 99032\n9485 97930\n48257 71227\n23300 84035\n35749 88695\n31960 96648\n91502 99296\n22676 70015\n21107 22242\n10664 74248\n80687 82707\n74456 75203\n37238 85287\n28977 82755\n859 58717\n13810 83641\n63118 72818\n26980 41821\n77058 86414\n11124 45702\n11847 17400\n60471 84160\n33910 64195\n65470 73614\n7343 56191\n50707 94246\n11386 52058\n59487 65846\n9949 31943\n27292 98994\n11327 65576\n59138 72956\n47079 72409\n79648 94477\n9411 83236\n22 94445\n32401 92606\n16808 85351\n64372 92887\n15708 54161\n65696 89525\n16686 45221\n32629 58920\n14411 39524\n13007 46621\n11551 81254\n33234 49887\n63155 94800\n5146 54593\n73846 81525\n15072 51875\n7105 7388\n34945 39604\n72360 73925\n35271 86086\n6105 50463\n63044 69486\n14840 53887\n45134 69736\n2413 25848\n25723 54272\n72180 85569\n80187 85366\n32624 92565\n81795 86682\n15022 86991\n11709 90973\n10965 23397\n28390 43359\n65309 96739\n75110 79107\n19234 61398\n50877 90999\n29002 72283\n30976 76574\n2392 55214\n35940 55689\n20669 40920\n2050 94168\n84 84208\n80877 95284\n24107 83874\n50694 65617\n73826 92203\n26400 65959\n11975 98222\n11602 65883\n78311 83339\n38630 44502\n7006 72802\n48414 92765\n17764 59042\n63324 64119\n23220 77196\n74631 84560\n14393 64697\n28716 42614\n39 2540\n20212 57254\n39089 51678\n40587 97024\n6010 7868\n31136 57435\n18546 65146\n4906 78658\n1569 52188\n54873 97958\n44322 93214\n52880 77002\n69856 74693\n3605 35769\n48125 78891\n71439 90596\n43887 91358\n10598 47155\n16860 47956\n32986 72163\n41789 83170\n4085 98582\n17878 40175\n5228 51209\n91040 93587\n41358 73575\n44017 56288\n15787 49003\n1556 25717\n6660 73782\n32359 96621\n45172 91060\n3252 31444\n33646 69281\n11672 71107\n55724 77433\n20953 60444\n52109 71225\n27945 79474\n8107 18155\n30891 87529\n13557 28788\n8096 17201\n76167 80082\n59724 67089\n70060 83007\n56891 93191\n15265 57587\n80664 82921\n43618 58316\n14899 77481\n1429 13948\n24793 36915\n55104 98594\n16819 36802\n10641 13170\n32505 75621\n46167 47966\n5068 63446\n14750 40207\n22200 65244\n14047 26901\n5272 66049\n36919 57920\n2898 93520\n6356 8016\n4138 40174\n64100 65363\n36880 62694\n41195 86402\n51839 81785\n35379 52829\n9895 78465\n33690 62968\n3970 40050\n15593 94626\n71754 84189\n47855 83526\n11324 18100\n4269 34374\n86187 89217\n48487 50134\n45984 63822\n10622 68729\n50979 75180\n20097 28623\n61980 92527\n32740 87661\n4057 33938\n34505 48899\n29458 65300\n35336 42488\n44237 69885\n69119 99918\n66621 91561\n47710 89373\n45251 49142\n13559 73285\n9172 30991\n56431 60125\n50124 85051\n60790 92016\n65929 77106\n1477 35210\n60559 98213\n38194 85903\n8727 19322\n51830 55071\n1559 94642\n30891 44104\n27790 90964\n86537 91180\n12860 41262\n57226 77795\n86200 95809\n66576 78787\n12008 29189\n29249 76811\n73023 87862\n23097 72985\n26923 63589\n89581 89841\n66594 98693\n55157 63123\n64494 83122\n10737 33835\n45497 69008\n46636 70099\n48000 97600\n7791 29975\n32553 48123\n17229 80817\n41693 49181\n35638 37976\n8432 43990\n65895 74461\n54022 98566\n10045 64494\n77577 86990\n39640 56835\n2784 83189\n21307 60863\n2607 42126\n67864 94795\n19567 36136\n1683 67669\n8837 51572\n11468 61822\n60333 98973\n16794 52237\n21072 33288\n55086 92117\n29289 42355\n24414 95520\n15415 56562\n10725 83963\n9400 71687\n79172 90165\n34313 72960\n81237 93279\n69131 97293\n8630 71816\n59026 63338\n34372 57801\n14782 57316\n7291 57381\n35720 56918\n52451 58353\n12956 84632\n70397 78851\n48921 49475\n55927 94896\n33974 34261\n70556 96359\n14149 98795\n15823 81162\n4908 81106\n30850 45046\n76476 90573\n66479 78021\n11485 37420\n19712 55049\n20520 93354\n35867 83851\n3463 21354\n6515 9673\n49979 74161\n50676 86254\n14370 96350\n39427 53971\n19358 21028\n44596 56175\n78871 93196\n21201 63999\n8485 12365\n57750 67897\n51605 58654\n48814 61047\n95591 99791\n21978 42722\n35842 77546\n34417 45906\n69491 97600\n4957 99307\n47344 93959\n48905 92833\n428 87288\n13929 37644\n37543 60002\n46416 67829\n8232 23281\n8069 86793\n26327 76459\n58400 64931\n49066 66341\n12049 85759\n12435 72170\n30837 57857\n41288 55193\n26444 70081\n25381 83777\n32028 49652\n22697 48600\n23482 55160\n46235 69971\n50933 58040\n33304 98026\n37140 89546\n84357 97600\n7040 94324\n53769 78987\n66652 77072\n74770 75584\n47274 68054\n69609 77550\n38512 42107\n32180 33497\n89430 99408\n14992 68778\n42776 61350\n21651 54646\n1907 74811\n15093 39103\n22214 26480\n314 99531\n55468 92043\n3434 50201\n79672 83280\n4023 46577\n41315 48126\n56688 72472\n3153 92279\n27106 90280\n51333 79616\n4095 44314\n38192 39558\n43385 71633\n15544 70843\n63193 79956\n33420 57222\n65107 68641\n43563 73236\n65755 90817\n7335 32169\n22820 49479\n16368 64269\n49729 53550\n26617 97519\n63161 92976\n28668 63794\n19888 42801\n16756 98259\n64072 82608\n30480 37266\n30461 82718\n19022 88862\n35466 72700\n15654 16925\n16405 37344\n45591 52404\n60182 69513\n65284 76707\n34213 87779\n47743 96562\n35042 97703\n46774 56488\n35123 93846\n17432 72307\n28145 92604\n152 31539\n29052 98084\n51384 55038\n18025 40752\n30324 62081\n30848 72729\n11483 84348\n83443 86829\n32560 64593\n18138 42949\n20464 90572\n69763 88792\n12759 46045\n55661 66829\n33379 55215\n3978 86227\n47720 92733\n29222 38715\n7942 92278\n28521 88949\n48336 54135\n5162 18896\n70995 73736\n24785 28474\n71492 85694\n6111 51668\n61317 76522\n28492 76264\n54121 75750\n28494 34248\n19675 39235\n20374 55136\n3919 42027\n18198 57608\n31344 39185\n58917 60564\n74484 97800\n14174 65389\n31977 87355\n67572 93722\n36217 99256\n95459 97349\n2460 32476\n60182 60609\n14660 21529\n16048 45195\n92143 98827\n22775 57943\n20393 82072\n5102 71649\n85349 86870\n18743 93059\n7189 52558\n2221 40091\n66509 86352\n40703 89058\n62135 84274\n11143 50554\n2290 42955\n30712 84151\n40524 58380\n32871 55977\n39065 65672\n3257 73155\n25903 48711\n25214 45297\n7523 24297\n46259 69838\n12317 38684\n33430 94753\n39747 95662\n50362 68223\n20962 98404\n6134 91453\n33304 75885\n35353 44172\n48173 72703\n57826 78346\n9161 26726\n52660 81849\n23518 83408\n8423 39628\n12115 28552\n59858 71625\n65044 81915\n12515 72543\n15751 24677\n24079 76967\n6625 63356\n50356 83416\n50595 81004\n56313 63879\n48744 60547\n41009 51693\n68493 74688\n21566 97118\n17997 22346\n15328 42069\n59321 62507\n15775 88801\n38902 53403\n36422 77483\n55811 81330\n19126 37843\n1485 35446\n15246 74842\n3452 88513\n1880 90519\n29419 61223\n19943 28328\n34854 79841\n19520 81305\n18227 60219\n47337 50801\n39845 97427\n17720 45078\n71072 75918\n16466 40715\n14693 94106\n16180 26673\n35640 65202\n65748 78803\n19911 25320\n62261 99097\n684 65493\n44706 88716\n1591 3643\n8313 70225\n5266 9945\n45750 69738\n3209 48007\n33955 55495\n2135 55275\n3636 32709\n4417 94209\n9495 43636\n4980 74850\n26214 45860\n6520 70441\n68904 92825\n29762 59791\n496 96321\n1796 94689\n64678 90920\n23277 38368\n14698 64818\n63361 93865\n20668 22336\n2953 93283\n5910 9724\n3083 59853\n42840 80525\n4812 44566\n64369 85689\n34315 77306\n27648 67984\n68755 81600\n41447 46253\n5869 9364\n24598 26597\n28648 35123\n52255 82086\n34436 36135\n46872 93150\n28690 59520\n64106 72515\n29431 59255\n25632 71337\n25512 62196\n4984 29248\n15168 18951\n3278 74892\n56572 72455\n2123 97199\n83365 91426\n33047 98720\n16249 95619\n44398 50406\n32459 88758\n48066 66034\n67331 81246\n3977 71761\n65277 77585\n36013 39872\n3709 39365\n856 22381\n11023 35396\n28190 41302\n38742 99199\n7046 7839\n1264 52511\n4053 22861\n15826 39115\n5985 74922\n13150 71351\n40639 99117\n62391 89476\n22725 68920\n49170 51700\n3145 10769\n70437 98588\n10834 39921\n15470 28670\n52240 61360\n25682 65761\n19284 56281\n79547 93250\n57090 72456\n50504 65760\n67263 89623\n12179 91133\n41169 86627\n13197 28516\n32476 39010\n20907 65411\n30234 31273\n46112 53564\n27356 39491\n68830 98605\n75464 77777\n28902 56726\n19604 81605\n1083 65969\n34987 79265\n49900 94252\n64073 97005\n41542 70572\n63893 92874\n40006 73847\n74994 75245\n4271 87744\n37607 64289\n57428 79959\n63018 90181\n333 31105\n40091 47066\n77174 91927\n52273 84859\n68115 92853\n515 97962\n52367 77842\n36232 53900\n2933 50787\n94946 95736\n63368 65309\n14895 35115\n38923 93668\n48056 65591\n42972 89041\n17097 18036\n71021 75260\n759 69075\n48938 58153\n42309 90049\n16824 47970\n12028 29797\n57290 80675\n38350 93437\n45062 69397\n36478 61083\n96770 98749\n36141 65835\n59090 64109\n2373 36986\n15515 53672\n20485 55807\n42312 99187\n36370 85674\n67287 71404\n62562 89227\n9077 43915\n27837 72090\n2670 13626\n18988 80153\n53773 65460\n62855 68491\n21880 53199\n30117 62416\n8816 37849\n43156 88292\n15711 64325\n16628 61542\n2891 48259\n40382 65186\n51842 73030\n10165 28005\n7279 67145\n14239 48652\n49101 58597\n31826 41843\n11670 90271\n80673 88252\n75061 80108\n64393 80173\n56077 81036\n11277 77093\n84013 96898\n71022 96328\n31377 59112\n43142 98178\n30208 40581\n20663 75767\n6518 76676\n30782 84278\n25394 57250\n3645 87492\n23286 24041\n36008 74294\n21616 89380\n30066 82452\n16822 80966\n32549 44158\n53106 92966\n12152 56453\n24071 95321\n29311 89112\n17202 94660\n55481 60090\n31693 61152\n30073 30839\n48735 79918\n7031 94161\n23593 38775\n22422 88842\n6717 75146\n71749 82098\n1586 26548\n41181 97227\n45668 93017\n5954 6903\n29730 40810\n16070 76901\n4278 4296\n11830 54868\n11471 21067\n47960 96166\n34145 58060\n16006 80848\n49359 58455\n69543 76851\n16824 32292\n8732 9657\n71868 80789\n12959 58745\n33200 47523\n10220 49531\n13948 75700\n41489 63555\n45989 68011\n12788 54145\n16473 72128\n9876 91041\n49174 86806\n2353 74201\n40748 83481\n72008 79331\n35102 53020\n5317 7087\n39635 89061\n71389 87697\n9261 29338\n38549 47829\n52687 70477\n13264 57183\n15019 60572\n21178 88358\n49526 70799\n72753 86380\n44584 44881\n13653 63472\n70811 74908\n26857 99297\n54188 64656\n20643 90104\n45685 71617\n47446 93292\n85761 94446\n32135 61673\n10674 87138\n27558 80495\n27004 86651\n17549 37059\n5160 31432\n15367 65095\n32834 64290\n19483 92767\n76654 81096\n39228 77169\n76341 93299\n95506 96411\n56866 65368\n9319 49137\n24139 43474\n41317 68296\n17105 73042\n51591 60587\n76863 96054\n50595 99565\n37354 52767\n20313 39260\n83034 87224\n9623 22496\n493 16201\n70402 94407\n93518 98850\n1964 47107\n67476 79939\n19131 99088\n28526 93633\n40466 77941\n52864 85034\n6232 67716\n12790 93682\n24245 42315\n54921 77999\n20919 74805\n25266 96959\n7128 51767\n19499 26513\n11956 99833\n33021 96627\n7216 26454\n13157 25920\n15321 82163\n31970 84389\n28074 41487\n16028 64778\n9434 77830\n16373 96127\n28315 60705\n37156 46543\n8491 14609\n47783 52478\n870 49339\n6382 29975\n37826 74297\n4074 27840\n38123 53522\n40786 60426\n7536 83883\n62104 82652\n19036 29151\n6197 93773\n71523 72995\n77871 95842\n48346 87031\n37137 63106\n42752 78179\n46621 54720\n29616 91496\n23643 59469\n4153 86137\n52115 79962\n5970 61831\n7880 56069\n25338 29560\n1475 20304\n64265 85175\n68724 97076\n13247 93841\n7897 88058\n22276 49435\n25713 94492\n45764 69355\n67743 83419\n87858 97255\n3437 95772\n49870 59002\n26417 82890\n36733 97233\n14761 41538\n27190 64794\n15164 39747\n62847 83062\n7897 96760\n21262 61343\n55015 95839\n6893 50680\n61163 62744\n24569 47430\n45989 98723\n35139 85413\n1685 37762\n47773 91436\n6560 93694\n21749 82343\n18887 75802\n18322 92965\n6259 83393\n23927 91612\n44565 62747\n29351 74113\n13525 87728\n51225 81748\n23858 83517\n24374 32304\n57078 70467\n19792 22166\n2687 17991\n69051 70643\n44119 77813\n45270 85452\n63611 81050\n30151 87445\n13546 22389\n50004 93798\n80438 83692\n13968 71373\n13949 40552\n3477 15493\n23778 55137\n42656 98487\n68349 78609\n2587 92399\n14377 85057\n36831 51219\n4622 14106\n5573 84733\n32617 68975\n33221 46850\n16988 95737\n47014 93304\n69697 88964\n43988 48732\n43215 61142\n45233 53106\n73051 84545\n1742 39246\n17327 84354\n53786 60435\n35016 59703\n10315 42118\n14751 49652\n39556 41927\n18306 30278\n45807 93010\n16209 99746\n8037 35209\n4799 85048\n43107 88395\n6231 83688\n34758 60792\n17435 43976\n76754 79419\n11924 23992\n44352 72327\n3872 25831\n44744 59927\n63999 98825\n312 32757\n2874 5515\n24724 77022\n47311 57781\n56111 70134\n62123 79317\n6189 95109\n71007 93991\n38861 75924\n18959 80333\n67781 79672\n1788 68280\n34938 83449\n59107 70773\n20379 60340\n21011 63475\n23200 31229\n4687 70542\n34363 55861\n2971 77821\n49334 53168\n18115 31109\n36689 99043\n69981 95189\n9918 64144\n21395 77112\n80197 80906\n41060 79334\n47671 61122\n7742 62881\n54219 56642\n23028 92726\n57305 85255\n15813 23473\n7230 67945\n6597 58210\n79398 84170\n16280 96694\n27340 34033\n40930 76375\n5606 86435\n79494 94945\n30824 41090\n26194 49281\n52969 80514\n45310 53577\n8 55983\n54689 99375\n22589 94016\n77697 85747\n11528 49549\n49570 51388\n20538 98778\n32695 81106\n21152 53507\n12705 43944\n35622 65469\n49713 85020\n10721 82316\n66280 90308\n22704 35918\n5583 6536\n63086 99136\n59370 77865\n51728 58485\n55296 64665\n4561 71547\n40330 88115\n20730 86100\n16745 53297\n41368 47352\n15884 28353\n19432 24155\n3496 96081\n37530 67018\n21889 59020\n21715 77995\n32820 70354\n39435 85226\n45859 81194\n15421 74785\n50677 82504\n34582 74630\n12000 30978\n93397 98737\n45254 72608\n55725 88454\n16018 71979\n39365 86169\n5393 72272\n11093 45323\n19113 45488\n5287 81030\n21498 59635\n64699 72219\n23248 80599\n1738 14095\n60617 74428\n57782 94199\n21319 45300\n48273 84537\n17763 66776\n36620 44355\n42695 98210\n62440 91490\n50448 73861\n35549 66243\n20976 83904\n40575 69362\n55336 69957\n22988 85141\n12918 47118\n26772 40723\n36198 66103\n72035 98139\n84165 95296\n15404 99400\n5880 56794\n60755 85626\n81715 83082\n33194 94584\n6643 62807\n28041 72709\n14148 80899\n5946 86072\n82890 99708\n69203 84121\n4184 90261\n39449 63357\n34076 54670\n52898 97413\n40418 87860\n36507 51100\n50700 78228\n51222 69499\n76630 94166\n9837 75639\n15868 52872\n36419 53415\n12842 41345\n38852 64249\n43001 70937\n20029 37553\n44512 52827\n31606 51107\n85973 92081\n18375 35095\n30545 46779\n63538 88451\n19994 55710\n69705 87390\n52464 89488\n86176 94047\n50853 78703\n842 22467\n877 75862\n27917 75847\n63918 67014\n26385 27947\n811 52337\n61408 69591\n11648 49909\n3477 37743\n14219 92848\n24319 75378\n37875 41671\n89811 93932\n497 13384\n58936 64240\n6746 98146\n26401 51329\n48461 73748\n49345 75191\n32374 43040\n3290 39629\n41721 74541\n60388 67146\n16212 95394\n7487 56640\n10464 15875\n76529 84074\n19104 96368\n13855 86354\n53548 72246\n47132 91245\n19989 80869\n4933 19028\n26810 39900\n16855 67134\n65364 80750\n16672 37941\n28826 84653\n1659 43827\n40904 52889\n10854 90603\n13445 34655\n21384 26768\n49023 60954\n18970 59433\n13706 90189\n74769 92359\n32435 41327\n51389 53781\n56582 78190\n3463 55740\n39801 75556\n81840 91271\n969 19102\n21349 83560\n2923 3820\n6658 97231\n61231 71733\n21863 53894\n35385 67863\n21766 91202\n26136 86087\n45460 51761\n6073 31965\n48159 89054\n15641 64975\n11926 31604\n35721 92401\n64310 75810\n2008 39618\n4156 28205\n6766 36531\n50370 80672\n20455 84578\n1323 41286\n25964 48857\n11515 71217\n72044 97445\n38941 77490\n1584 14966\n30726 87482\n56011 78246\n73559 74565\n17037 45903\n44474 66346\n15134 26684\n21739 88651\n18555 80546\n11008 87446\n74936 78417\n43923 72276\n8668 22565\n11274 85353\n56689 71160\n22623 91192\n54892 88113\n48413 57983\n48582 91707\n13600 91471\n33772 96125\n74948 86747\n3333 74983\n38143 40377\n37716 82441\n29312 63690\n64190 81037\n56358 91613\n3633 44783\n68986 90084\n29531 99797\n23472 97434\n10467 11652\n30706 74518\n55846 84464\n16884 98906\n22675 88078\n70809 96645\n33400 58480\n89696 97198\n36937 81820\n46159 98036\n63578 64926\n18049 55348\n41635 46334\n52099 74123\n23692 95817\n28643 49354\n43861 49758\n51438 51993\n10870 74791\n4135 74867\n83492 98962\n39606 50355\n36311 67024\n260 67962\n76219 82913\n81963 93115\n19176 86034\n85971 91974\n9857 87332\n18953 84262\n13180 97781\n14757 45550\n59422 80492\n51639 76462\n45026 52252\n17475 61865\n27313 94091\n36508 66545\n15035 99246\n17890 58115\n54195 78782\n57084 79343\n27304 59486\n44174 92023\n14823 64150\n840 70509\n33946 47441\n69429 86131\n35776 87491\n47395 64737\n48543 89202\n28455 51076\n801 81214\n27192 28005\n21405 63211\n33594 79760\n9172 52508\n35105 55330\n17803 85727\n6198 28615\n4740 12718\n22631 43185\n86410 95747\n16410 29916\n6203 56495\n24532 32563\n290 40341\n1231 62730\n3749 86455\n82285 88110\n30424 86631\n11881 31106\n32022 66852\n33317 91608\n4072 51969\n27184 76109\n85559 86163\n58900 85474\n21458 93744\n13062 64686\n57186 61774\n28699 40701\n42099 46774\n4543 79721\n44938 77417\n25073 33554\n5654 30659\n34486 86630\n49871 58372\n870 61518\n67111 96797\n36421 88652\n30552 72574\n11642 77109\n36173 36969\n24037 76268\n28164 69375\n40805 81060\n27247 72743\n16772 66148\n21027 96678\n58754 72715\n21476 40993\n6106 49793\n67050 84806\n4348 79164\n48241 54861\n7667 45747\n33819 61523\n35624 37000\n34228 91935\n75615 99473\n67081 84251\n13721 43931\n27115 49105\n41594 58133\n18461 70155\n7805 97161\n28242 28994\n24111 80775\n18486 79891\n30475 86883\n27590 92436\n17656 80951\n17069 99160\n2866 7588\n79239 99591\n36474 95164\n38252 98966\n3950 51041\n2059 63229\n73538 81857\n9549 55443\n90146 95585\n46495 71868\n87645 97226\n6169 25613\n11058 18233\n26516 95118\n37545 40255\n6322 57293\n24528 92058\n15900 30452\n72479 95726\n14408 40411\n2574 19742\n66731 94276\n4609 69859\n2400 87729\n28618 52821\n21984 23596\n26771 28659\n13332 42338\n6244 12609\n1084 64920\n31061 95039\n16920 23938\n70917 98395\n758 53836\n9161 67836\n6273 18445\n51059 54120\n42018 95675\n14930 16313\n20367 58223\n84329 86229\n49470 58076\n18604 26298\n61978 67286\n54455 69525\n79046 94191\n24124 81885\n13049 48547\n23313 24523\n19242 35427\n82656 97428\n23639 66395\n62759 83516\n38276 72362\n17729 41547\n76947 77419\n35792 58060\n29946 67763\n15945 70594\n15571 93291\n5026 14080\n28460 31010\n24593 43669\n39965 88440\n16928 88443\n34222 56446\n28979 81236\n22603 23677\n51538 66802\n32389 44411\n8636 43154\n20864 21253\n29297 85171\n46955 86942\n55677 97051\n39216 77936\n39220 74221\n57515 81200\n18789 70248\n17282 60520\n68508 77151\n59823 96765\n9413 48735\n23994 27674\n38368 80333\n47856 97868\n8525 59344\n14295 67479\n20662 77333\n34688 88967\n23853 93727\n50449 97836\n21069 55247\n27799 54071\n38749 67242\n35445 73029\n81965 85264\n7011 34813\n39809 39884\n19814 65988\n32944 49320\n4454 55710\n51909 61875\n18860 66654\n71045 82036\n16548 98519\n24757 55557\n36017 89051\n4858 23258\n28123 35442\n74425 97094\n12968 37150\n45138 96558\n15202 77072\n7848 68459\n45583 95934\n36327 98571\n17690 60664\n30129 66039\n57317 71401\n617 32095\n25977 70192\n3784 86685\n13819 77492\n13150 79993\n54573 84297\n36050 70820\n44568 53849\n4944 99220\n13712 39625\n47143 73257\n10314 60365\n90288 96100\n13019 97849\n30864 57328\n73023 94414\n50923 77100\n59060 90554\n19690 77109\n74856 89687\n4127 83512\n12002 85838\n13180 28788\n45372 94001\n35470 63100\n76034 93806\n25293 64080\n56555 82029\n40552 99469\n32189 60494\n4049 65468\n63451 89910\n15876 43921\n32580 54288\n9980 47988\n58651 90398\n78143 89107\n17231 33542\n16135 89526\n25517 85944\n57426 93946\n14837 63576\n7191 25515\n61721 90328\n6686 88967\n27578 35024\n86996 91073\n21940 71474\n17357 86876\n42065 86928\n49699 99392\n76988 95120\n5679 97769\n5404 50793\n14243 56362\n33960 97405\n66422 91085\n20853 67568\n17572 60048\n13859 61096\n28386 86891\n33252 40747\n25139 92798\n41765 89506\n69514 76288\n74581 99458\n6617 12246\n2282 86016\n5231 48039\n1629 9141\n5215 33375\n12428 41249\n33849 65162\n12598 12613\n3416 17153\n80123 81707\n5004 80171\n818 95030\n67932 87087\n167 92883\n39738 62981\n31868 40203\n13974 63128\n78298 78813\n61344 63248\n16097 73434\n15197 36824\n84614 90495\n52947 62399\n68174 97198\n24325 93049\n42991 93067\n62024 76569\n11072 21342\n34522 59045\n39559 99664\n59662 59709\n49427 73468\n20819 60656\n27544 30597\n13877 63089\n51748 94423\n37235 62254\n29737 38695\n84821 95493\n52914 63600\n20757 65468\n53258 94537\n14819 21060\n56707 94021\n7772 66617\n14780 69352\n45468 80228\n31853 41973\n16170 42782\n9066 41670\n24635 77648\n47385 80728\n25163 94739\n52149 70326\n45661 76707\n3573 45294\n20346 57611\n73229 88200\n5684 43105\n54883 74677\n12706 57711\n28141 41947\n57556 97856\n73268 99453\n21121 64114\n13322 90324\n5750 91055\n23081 99711\n59902 65104\n58339 90511\n27737 83185\n37669 63640\n65544 71191\n23608 54517\n16774 35052\n41764 73144\n8299 64270\n37160 95971\n9011 63321\n59779 97713\n42032 48932\n40266 61789\n80330 97270\n24100 79728\n66764 76315\n14177 59515\n21906 47007\n85119 95300\n11015 14032\n10806 44134\n69719 89376\n53475 73591\n2963 22584\n39595 48228\n27096 37453\n7998 18280\n8858 60811\n20845 49338\n47854 74304\n37141 85274\n6885 67532\n47045 97546\n45769 84734\n57005 72315\n37844 49641\n26067 49678\n4859 86588\n78911 93284\n20453 49441\n60435 91827\n56944 98179\n34779 54428\n2872 12403\n27552 46412\n68445 70656\n5734 64357\n25313 86644\n24055 53428\n23857 27511\n5119 50607\n6542 22565\n11555 83954\n41450 64664\n16125 65066\n11335 95694\n3053 89532\n55814 79424\n29991 85749\n46501 85927\n23190 26787\n48409 74529\n27750 43278\n68418 80587\n11153 47032\n22954 31014\n19317 90897\n37933 80209\n15777 81947\n6683 57836\n1174 95782\n9607 62625\n53796 61209\n52786 73031\n60941 98499\n38463 39435\n5395 18353\n56814 59455\n31147 63050\n29271 41455\n81420 88061\n77208 86450\n19095 36486\n56 56801\n50787 67524\n26609 34880\n16773 36295\n14912 73280\n22438 24277\n56679 95867\n33783 78071\n11896 14162\n30626 53531\n19556 20228\n29808 43858\n6382 39102\n43682 72122\n64810 71802\n35172 62415\n55171 57092\n77196 87531\n88535 97110\n57379 62772\n41309 94962\n32072 85817\n37422 99398\n58235 66697\n23308 95961\n16092 95233\n49852 91086\n53230 98760\n40126 67125\n43257 46444\n52837 65733\n57040 79410\n5156 87889\n2004 75792\n3973 31485\n33814 64863\n17464 61808\n65600 84472\n10567 97944\n37341 55195\n59884 78613\n5036 45651\n20340 34486\n86594 90570\n24397 70118\n2734 75591\n76497 79534\n69033 86213\n12536 50250\n74017 82131\n81387 85435\n44979 53608\n40565 68602\n29506 66159\n8514 34058\n42231 47595\n7080 44756\n29081 36074\n4459 81748\n49061 84509\n4231 70831\n13616 86822\n29686 96314\n64042 75085\n25508 74246\n44040 74962\n91858 97238\n24843 97762\n419 82442\n35636 92076\n29820 83203\n75393 93465\n30387 37526\n7802 46533\n15892 56160\n7012 97293\n50011 52156\n17872 66997\n61057 68029\n23726 98456\n47186 47832\n7859 41359\n42723 86031\n20511 79397\n48935 71978\n62206 71129\n51500 81165\n27804 45846\n61857 70239\n28002 40176\n52155 81228\n12322 21030\n2926 22757\n34366 59165\n3393 14373\n11481 74082\n71275 76691\n84231 85432\n32263 79679\n10178 26843\n45445 96368\n43995 75749\n22248 44152\n15813 31682\n68708 96151\n46726 90842\n86282 92015\n97930 98594\n22520 81622\n59765 98082\n7834 24824\n12056 64630\n70445 85335\n27889 67965\n75088 96393\n31210 79800\n10448 77793\n34336 77468\n32242 41231\n522 20335\n9915 64608\n86857 88989\n2431 32972\n24595 95635\n94769 96487\n58313 61571\n40681 79592\n27114 28224\n13829 49246\n23461 34083\n60593 72078\n28805 93336\n55825 89473\n5579 42898\n24055 34262\n44888 69515\n26152 69454\n5646 53557\n45422 78682\n48726 53427\n27116 31289\n7873 73964\n2230 64792\n35011 98810\n17729 54840\n52578 98448\n28288 45757\n68452 95336\n13212 68855\n13085 32488\n59662 70818\n65916 99543\n3971 98997\n10571 53933\n53691 61312\n15523 46988\n61561 80029\n11662 47481\n5989 7991\n1573 66984\n84592 91711\n87749 99079\n26011 48227\n37850 54497\n48315 54736\n12308 89487\n62611 67485\n2332 71463\n48086 87017\n19065 65959\n25540 71594\n59817 93434\n28909 68333\n14820 58235\n28112 71455\n5000 89648\n49009 89819\n6951 91957\n18113 27512\n37607 84341\n58103 99396\n64961 83989\n98956 99752\n37123 55120\n17517 94735\n7187 34138\n66837 94639\n63101 79096\n12063 98400\n39869 65670\n77292 82043\n13318 46634\n7086 93442\n36537 56047\n11736 66607\n27156 35000\n6044 62910\n18748 52788\n16016 62351\n46042 50171\n77916 90214\n24510 27390\n7472 13615\n42727 88144\n29061 60631\n24942 29319\n31247 93535\n34698 60317\n26676 78118\n58411 89403\n22112 60140\n1358 82686\n74568 75156\n85633 91472\n72354 96171\n15587 84158\n44204 71764\n47996 52039\n51549 61836\n55535 90357\n19238 79312\n31050 39318\n49179 70908\n23121 39678\n84664 85526\n80438 85687\n16380 50111\n4878 85083\n24628 29661\n37827 44433\n68687 73992\n9227 82338\n34456 59196\n23987 71434\n44077 54611\n18661 90766\n4046 4579\n1268 54009\n8883 11202\n16838 19073\n49785 99989\n8271 87266\n34019 61879\n22877 98267\n17575 27254\n44252 44510\n47966 94343\n39351 55096\n89639 91235\n37813 91298\n31624 59369\n11131 58178\n13462 25260\n19729 49272\n37724 89018\n77568 96029\n42931 63377\n36578 57719\n407 59592\n9009 63875\n30531 58406\n24013 65238\n37713 56616\n33940 64591\n9707 83105\n63652 91178\n22817 88592\n3580 40477\n884 24008\n32847 52878\n19998 28967\n74672 76452\n72480 85063\n14728 79299\n50518 96871\n10417 61602\n45348 47051\n24736 46265\n13017 93851\n18292 25024\n37344 92023\n64902 67599\n7591 70584\n29396 84875\n70204 91027\n11152 29231\n47761 93951\n42025 97097\n3005 56537\n8730 23112\n40991 82906\n16130 27860\n16745 59261\n15038 94170\n4717 82708\n11915 23186\n30236 82447\n13398 79668\n18571 82580\n13796 80531\n40135 48201\n32951 51991\n30690 71592\n70267 75214\n54656 62050\n14569 63796\n51001 76353\n432 27854\n35807 40109\n16198 40755\n71090 89135\n42720 48825\n30085 85595\n25478 27994\n38836 73176\n64895 82717\n13221 14224\n64053 72877\n63435 66422\n49608 54843\n73729 96947\n61779 89550\n34157 74056\n54402 94410\n70185 75421\n34409 88227\n11541 26957\n22496 68976\n29456 57138\n33129 73428\n59304 98745\n19318 61798\n45136 75444\n15940 50814\n7404 53776\n31437 41062\n22123 98744\n8412 47341\n52432 61333\n18810 54692\n11667 92404\n2174 74609\n76476 84703\n27332 51232\n32546 59645\n64114 64664\n74966 93850\n21442 64863\n9612 55097\n19513 73579\n21907 70411\n40244 48216\n32630 87288\n3829 25990\n15270 62986\n4741 45986\n75570 82327\n809 55119\n12116 70146\n14159 45154\n67686 74221\n33151 58918\n9307 40779\n2847 53802\n48702 57876\n75602 95519\n33669 91744\n69487 74799\n1096 94488\n69004 77312\n4648 66878\n14757 31897\n714 30816\n13504 64384\n2967 93846\n38780 53815\n6585 60858\n560 1477\n33436 97445\n23763 88595\n78458 95088\n76899 86106\n16181 32811\n3266 79044\n12798 27675\n15462 30219\n7084 90623\n51906 88227\n42688 75126\n29694 94606\n16563 36666\n17411 52752\n54776 84559\n42117 59401\n40327 95150\n25858 83686\n31519 87395\n365 83488\n43350 76976\n6254 54114\n60099 93939\n64446 76942\n305 21616\n4410 40422\n25509 52843\n43242 77907\n19105 98450\n7308 14717\n772 64962\n6061 71797\n77701 91374\n18581 36446\n29661 38550\n10794 51193\n8400 61587\n21043 81518\n10269 10853\n18846 60174\n41618 98534\n38533 74245\n64988 95150\n80274 84755\n97058 97893\n8490 11238\n24236 85335\n33000 77568\n36977 39690\n49903 70264\n13068 46431\n57042 65850\n68396 98738\n289 43006\n4078 84082\n658 73717\n43379 98878\n4630 41236\n11763 40052\n59139 78861\n8693 89246\n63009 82334\n5807 32736\n32648 49388\n10719 25219\n43956 51964\n6802 91426\n31015 39982\n1095 8902\n52514 83782\n41817 73639\n12217 56822\n13702 34564\n1481 36211\n2102 20048\n29318 88605\n40996 99556\n78776 94313\n662 25754\n34374 90668\n3051 89180\n14652 95464\n73802 83564\n41179 51253\n27638 80057\n14712 46747\n38601 82100\n14812 16363\n22213 36703\n5116 82004\n24992 61379\n30174 60813\n55033 93670\n43562 89714\n27657 56156\n62695 77344\n17641 38732\n16260 38496\n8496 97585\n30528 97780\n18838 21116\n29226 42266\n73429 79383\n56787 94486\n90562 90963\n63275 99420\n53298 69576\n468 16287\n41541 90949\n3219 44380\n47651 60172\n8161 56778\n52149 75525\n30850 73473\n48295 49037\n1289 65134\n10667 29920\n76365 88546\n19086 44524\n6167 65327\n908 17034\n38618 84575\n58694 85661\n6448 49288\n566 24997\n36974 93803\n22529 39768\n80807 96611\n40486 60896\n17617 44298\n71880 95287\n33740 38069\n9230 10073\n890 28410\n655 77072\n35435 85054\n43934 71277\n15532 35748\n41566 50089\n4899 98377\n73122 99914\n21650 26355\n7574 46327\n50693 79643\n22105 96598\n27132 92554\n88681 96364\n78141 94103\n35325 82139\n4849 26871\n22773 63271\n81660 96440\n77344 93357\n36059 54371\n1908 3139\n7996 35423\n4083 81561\n47217 80308\n21080 23145\n5224 66021\n47906 64819\n1060 89993\n12611 48485\n21568 30507\n42382 49618\n21216 52625\n29821 41129\n20666 54916\n28821 78075\n29011 75408\n78766 99639\n21791 91058\n40553 83294\n2044 40993\n55065 78360\n47418 59473\n10743 81378\n63423 80833\n44473 70357\n45908 53921\n17588 54602\n19957 54014\n64481 68242\n31229 82255\n6805 86677\n40543 71241\n24534 28260\n74875 93740\n78569 86830\n50090 75352\n29239 30737\n17758 50347\n20150 91196\n954 38599\n69375 81499\n1138 81260\n41292 62707\n37537 50140\n54516 97334\n9694 88513\n13172 99906\n9287 77183\n36859 47276\n60331 85233\n26655 92453\n12079 36766\n2876 69154\n1791 46900\n12589 88828\n86375 98694\n3711 48450\n51308 99836\n60553 95416\n32621 45550\n47626 61472\n50333 92645\n89107 91573\n430 18995\n34573 90851\n38035 51256\n32025 78636\n6578 21985\n24865 39616\n47174 93340\n31195 55987\n19092 43574\n2499 95027\n32204 63554\n28919 53703\n36906 97813\n55761 63717\n42261 90394\n9187 36145\n13531 28957\n28978 46649\n22919 34372\n39804 41744\n28228 79266\n7061 83984\n23766 99761\n9009 84676\n11317 36512\n23435 38149\n21802 58195\n9366 76112\n17283 76724\n8766 23524\n19229 79951\n2453 31275\n37194 85562\n53311 63098\n28508 62796\n32219 64816\n1236 31608\n7410 27233\n18347 80103\n35508 75845\n71815 84962\n49602 92237\n39618 97509\n35081 48446\n54071 98386\n18544 78798\n26368 89993\n1650 31281\n30900 41504\n7173 27746\n38298 80308\n75774 98001\n45015 68651\n52817 92714\n27175 60361\n14414 47099\n42226 88280\n41529 43947\n65288 99445\n52079 54610\n80196 84965\n16396 77798\n10691 68432\n1052 7608\n12720 41314\n4582 81994\n466 50324\n4825 49786\n1546 24030\n60461 87271\n47239 87032\n35931 57212\n25359 31814\n1118 88483\n4837 99782\n87289 92668\n33296 74827\n5442 16462\n24731 51229\n5731 28818\n31349 68094\n65882 66665\n12379 35696\n28642 93954\n39693 49117\n25089 42848\n49368 79491\n23180 28908\n43066 51436\n1015 87315\n29245 82789\n14012 72869\n29609 35573\n63465 96694\n34259 47159\n20292 60800\n20393 83153\n21374 90935\n3350 92374\n32928 78803\n19510 92659\n3559 40056\n45714 98135\n50911 52857\n36982 62133\n15027 53322\n15712 75342\n39417 75469\n78062 83836\n20972 41748\n17970 48309\n10616 13810\n74161 84487\n39511 62298\n8771 72118\n24269 56197\n20007 59934\n23134 82391\n23754 65355\n15298 86962\n4882 85038\n18709 25100\n10238 63487\n33539 90372\n76351 89393\n28018 90762\n12171 93789\n66974 84556\n8437 53784\n18998 22432\n4925 29225\n82094 85697\n68438 89837\n69170 98002\n43999 83038\n55332 92705\n11324 80297\n13561 47166\n64519 77339\n86477 87434\n41340 62600\n6294 46764\n28186 91961\n2097 6774\n44965 51643\n10575 97508\n637 72406\n31477 51615\n36446 60940\n25251 91192\n8046 14467\n1815 25190\n44517 94605\n45420 74559\n18908 89851\n36725 50675\n43088 43520\n18713 83206\n31667 86962\n30185 57407\n15138 16598\n11385 88671\n18452 24028\n53254 82610\n5363 79510\n44100 87151\n14064 15747\n44752 83425\n50501 68611\n10102 90228\n17042 40793\n72500 96462\n64692 85777\n22642 67821\n54179 76924\n38510 97620\n19033 55268\n1442 71090\n8062 60837\n30070 91163\n18955 97784\n22195 55839\n23244 60545\n8334 95371\n33488 51818\n1886 6034\n887 7399\n32143 63044\n12903 58612\n42858 99696\n7985 50661\n28317 89034\n10089 34190\n28472 30445\n37152 67003\n42378 46082\n34608 65818\n3527 87105\n45049 62857\n31561 46731\n49032 92778\n126 45182\n89124 96232\n37754 75715\n11695 54672\n2828 30953\n3031 66249\n71611 72956\n79917 90688\n48732 76552\n33097 63177\n2689 42597\n26948 47638\n970 75129\n45378 92309\n48953 68146\n72646 90769\n6736 39170\n15091 46729\n54196 94192\n65327 93412\n25488 93726\n32545 90508\n9959 85237\n90422 97402\n35574 74123\n4157 33432\n27753 81505\n24655 62124\n10644 34027\n993 87159\n12784 16330\n21938 41453\n42732 64605\n36752 55669\n25921 62415\n34803 60877\n18379 48025\n14344 58787\n90533 94767\n21746 51685\n27224 69037\n5451 22264\n11464 72955\n455 24332\n869 17926\n24236 47487\n29918 70350\n691 70643\n81961 87887\n43099 54675\n25804 66107\n23403 33381\n2636 22820\n21402 69646\n37040 69012\n35197 86049\n1608 29019\n29932 61494\n24248 64419\n4777 97311\n60478 79446\n24421 75394\n27385 51874\n5194 29200\n45326 63097\n35709 40962\n30109 60099\n30118 72907\n54443 82015\n24561 69508\n14610 36607\n83274 94683\n11193 32408\n1443 21180\n90569 91903\n69746 72775\n5496 31839\n32379 37098\n4224 80058\n3946 93031\n84811 86051\n77044 79884\n11672 79582\n4010 16594\n32446 61728\n32591 79473\n5335 49446\n4678 98655\n8000 90512\n7933 37580\n33288 64649\n3544 32685\n26876 99930\n40896 84787\n47685 74562\n39372 85020\n13104 26360\n32460 67097\n21053 82596\n44887 54955\n27514 35329\n35285 76771\n47254 95640\n46437 77474\n14670 61463\n56862 59885\n4545 30697\n11818 93618\n46358 54863\n27931 44627\n34780 66583\n12571 53617\n22494 99113\n13480 81974\n26875 49140\n93087 96572\n16072 50584\n45699 71103\n3417 73899\n21774 32550\n69935 76162\n8138 68143\n10254 57562\n1479 62077\n27249 36413\n60455 70830\n70312 73406\n41201 86697\n21592 80679\n63258 67019\n18933 36032\n29086 86096\n3968 25607\n29382 29452\n20323 71805\n37968 38293\n35715 69798\n56583 63757\n42417 58211\n22885 88435\n26909 93174\n23122 40446\n34123 98791\n40716 48688\n42588 72321\n35551 73327\n26189 77755\n40659 59695\n61655 71761\n38361 86330\n29669 48987\n14948 72095\n93667 95280\n67492 86571\n55922 66507\n5720 49943\n8280 48494\n62785 86939\n59712 87852\n23264 45909\n35161 96721\n15755 95490\n92413 97601\n65407 95593\n2267 85543\n15660 58254\n11802 45054\n61901 80094\n678 65897\n79702 81037\n49650 67096\n55110 55933\n7610 82048\n13863 48260\n16395 88655\n23842 47303\n44676 77863\n73356 92911\n13452 54580\n88087 98805\n21789 91862\n40699 74281\n47649 75441\n55306 93083\n1727 72016\n12830 27938\n39696 77745\n16350 33990\n11856 42733\n51231 70837\n3958 7813\n1003 5277\n12085 33831\n24490 59714\n82858 93942\n22845 53035\n53170 79774\n43125 79090\n527 28980\n5281 83543\n64150 97037\n20735 87037\n9066 89674\n46016 89397\n53567 72726\n51496 63277\n21505 55775\n45926 62458\n11163 90123\n1921 74093\n94964 96131\n19335 69254\n32078 48871\n24615 29302\n14860 31781\n24373 29173\n35605 86905\n13213 93380\n59713 90072\n15321 84162\n47585 78065\n1369 79406\n14231 39509\n2493 79328\n21273 94340\n13048 99855\n21469 83267\n59588 87518\n3129 64456\n5031 29387\n16517 29273\n11642 76540\n16690 97818\n21308 47605\n17290 19631\n2872 12151\n5112 71322\n8839 69332\n16491 70946\n10641 78303\n23247 26000\n411 34513\n37568 83133\n58521 67599\n81573 86551\n39149 57734\n8396 68086\n25648 42149\n25733 27823\n60584 70733\n58040 75241\n529 78190\n61319 96963\n92597 95973\n61810 65746\n28412 45541\n25382 26226\n18241 81710\n56661 79074\n36894 41613\n20778 28165\n53116 92484\n84806 91124\n68975 72689\n22582 90535\n55051 60635\n4716 12835\n9263 14334\n10634 68186\n17997 21707\n13750 32330\n27580 33897\n13502 42377\n34000 56300\n11242 42306\n8624 40143\n34262 37469\n62652 96446\n27894 29281\n18988 28761\n14069 78940\n5892 27808\n5619 27120\n65868 75625\n11210 75197\n41016 53401\n75244 84414\n15563 81780\n3248 91508\n83036 95073\n44708 87764\n60828 64783\n59618 94227\n60289 80527\n2192 51394\n29679 32014\n12581 27211\n5645 18779\n6745 11744\n41505 92326\n22817 63583\n4076 59668\n43789 57849\n4039 8218\n66701 77709\n48371 77362\n71045 88069\n26595 59765\n90103 94494\n1450 67555\n65739 81782\n93527 98537\n5744 79629\n41304 98613\n19192 48070\n66958 92100\n4149 51105\n8884 44276\n40279 90824\n34317 67473\n15154 38329\n12615 72758\n42656 76452\n21096 99810\n6334 32530\n44301 90677\n25919 77465\n4302 18802\n36014 51439\n77172 86387\n31382 85936\n72536 97255\n44455 84551\n46769 91295\n46204 68475\n1533 78146\n16111 95599\n72982 75358\n20775 97222\n11159 88418\n15728 48313\n6021 32829\n40330 70004\n9311 38317\n3016 76210\n10347 79798\n3012 21837\n29265 40492\n49473 99581\n54733 88990\n24836 70372\n41753 72900\n1271 60737\n11426 76074\n62482 99044\n5481 21339\n62330 64791\n10958 66122\n54433 62471\n55470 58910\n3691 15104\n52861 64140\n19047 63307\n20423 99138\n35628 76361\n47062 57944\n15583 84253\n3283 43341\n12155 81116\n48416 90296\n27132 67036\n1696 41033\n37164 51538\n14320 32622\n83555 85055\n232 50458\n13515 48950\n74053 83252\n26588 95984\n29479 70952\n3148 81369\n31506 93021\n42356 99967\n12520 25728\n77053 96228\n25990 98121\n62 98853\n38093 77831\n48086 88958\n19072 73119\n68791 72996\n7962 80059\n38333 48171\n7781 81543\n52802 54905\n89727 98278\n37761 97951\n2248 39826\n31790 59171\n33610 33794\n26349 42816\n5798 90990\n7996 81892\n67810 80653\n24486 36128\n43593 75287\n62002 74723\n23854 41251\n26182 53334\n23533 73752\n34500 73425\n49497 86624\n11833 49275\n52113 58851\n13244 59151\n27110 27860\n27158 38918\n60265 92093\n11176 92499\n52103 64377\n91588 95145\n55259 90959\n37964 77223\n58599 96131\n32273 69496\n24733 36502\n12772 70869\n63910 80783\n1411 81739\n61634 72590\n50311 65327\n9422 81577\n72005 75010\n68781 96923\n44103 94525\n26409 58333\n21439 22527\n2335 46760\n21987 57888\n28882 48511\n15255 15591\n31907 41580\n46889 78045\n17705 76174\n5717 12915\n64442 80039\n70545 96030\n60162 98315\n38576 95578\n33451 73298\n40135 89829\n35778 61333\n50047 62990\n42366 66273\n43186 45655\n55185 82294\n55029 84956\n5760 22024\n32103 53783\n2279 12654\n17227 60919\n8193 84564\n37692 50188\n40387 99218\n78108 91732\n21977 64466\n13891 61073\n19328 38356\n2227 56481\n7696 83841\n14483 45648\n27324 75908\n27154 49399\n2950 46396\n398 60491\n48884 86210\n22786 97245\n49024 67950\n56193 81459\n5704 21608\n12448 55864\n17245 48714\n55938 67599\n44661 92444\n28218 54285\n38305 75059\n12711 72765\n74126 98761\n64130 96088\n30170 58041\n5901 42922\n48222 53206\n42211 51752\n51185 71534\n20771 88129\n11606 34843\n57661 64437\n5451 9778\n10434 91769\n69118 95370\n9584 70492\n3708 57740\n43566 93695\n14684 86714\n50047 64824\n37890 90253\n41186 63791\n53074 99105\n15886 28289\n26218 85768\n42623 79306\n11894 87714\n82633 89962\n36276 68990\n31480 55425\n57663 74500\n10138 56240\n64898 80798\n9887 44825\n35559 57821\n20080 81206\n31402 81550\n9231 27625\n21061 25996\n6079 88746\n4499 90322\n31019 74792\n738 66824\n24553 68150\n57600 95423\n31377 35441\n89615 96921\n26410 31542\n32411 71894\n74567 95030\n61215 83065\n34764 80122\n15235 26555\n76693 95161\n58930 81400\n25526 52629\n951 94896\n10715 33818\n11117 49741\n37816 51158\n50806 51037\n16120 88245\n8248 96901\n52978 76350\n35779 49212\n1475 70327\n21455 73659\n4228 97839\n40871 89876\n80938 95630\n84086 88747\n9200 24520\n43749 90651\n71576 88042\n7145 58950\n7926 78057\n36629 56423\n18299 69890\n54287 61111\n67508 90530\n55013 85726\n47783 58697\n24849 88539\n27211 33413\n53705 93296\n65662 97254\n31481 81981\n43426 52484\n39445 78794\n2638 31882\n73691 75832\n58072 87986\n62285 92183\n12324 69606\n501 53635\n16872 34318\n4995 82207\n9546 28701\n39394 71082\n26551 33207\n30086 91069\n12071 29614\n40971 66201\n438 49845\n17703 55998\n11828 41910\n6132 11522\n43760 57386\n6745 19376\n9617 40134\n21908 29951\n21885 74427\n49784 52579\n37804 45364\n14680 85141\n17080 60513\n6111 65117\n7907 81807\n29026 85062\n44129 89205\n70320 97507\n13563 69441\n6163 28229\n19673 60307\n24744 86390\n97814 99810\n5617 40784\n34701 60772\n5705 72559\n2455 74923\n7689 18470\n4425 76569\n1457 6088\n51184 80056\n3148 82796\n15655 49495\n34590 92469\n46562 76820\n67841 87237\n25572 37148\n11040 39699\n23187 41952\n13531 47043\n40416 75237\n52737 82382\n27943 55595\n11495 80191\n29063 78453\n26513 84787\n663 17570\n28447 74623\n47758 79013\n18761 26938\n9925 23283\n912 23147\n27331 88378\n29242 52473\n14236 29766\n4766 13236\n6923 42217\n25837 34796\n30675 46036\n3958 65139\n10614 11375\n53460 60732\n21584 94051\n39647 58349\n5246 38036\n30484 94873\n96019 97311\n30043 92008\n20696 45374\n5178 99799\n58753 97736\n408 33028\n23329 87389\n31425 52601\n39229 41821\n2160 95522\n2036 28279\n85839 88919\n7384 46841\n10516 50961\n3801 56122\n27718 81454\n11759 57284\n23133 70204\n167 88099\n19767 38701\n6217 88453\n28634 88154\n55686 97753\n50102 52255\n34938 53049\n53044 67957\n15804 69398\n40400 41491\n19263 78290\n17438 43533\n14155 27219\n63052 72119\n31932 34173\n30987 62751\n4925 94522\n52120 53652\n8215 24310\n63385 69672\n23609 24766\n268 2373\n22777 95777\n74018 90388\n72993 92623\n70655 73247\n53797 78506\n7460 89960\n77 987\n14020 54205\n32291 94135\n18598 71892\n62633 87658\n29342 51306\n82731 86625\n55922 98028\n978 78919\n50955 90231\n23731 59172\n23089 82012\n72398 96267\n10778 15352\n33643 77844\n10485 44180\n60473 75583\n27468 34271\n98 32672\n1996 16178\n28870 66024\n7067 27652\n27888 67098\n76737 87825\n40010 66074\n37667 59411\n11745 21991\n54190 61250\n2042 99875\n27731 67918\n36538 85105\n42564 49727\n97710 97975\n32475 73172\n14994 32467\n69044 71481\n45768 47012\n15202 63117\n15485 39360\n58253 98624\n11111 30214\n25261 86054\n44867 77168\n850 4843\n61502 75232\n26306 46449\n3390 13862\n21912 99250\n4577 98811\n54378 92838\n25462 85665\n8904 25299\n52824 60691\n30104 97037\n50664 80228\n33362 61383\n21966 34561\n61042 99080\n47625 79512\n12804 37577\n43933 54670\n65056 73670\n3487 71869\n51636 54983\n82442 98931\n60329 85337\n74080 99515\n9723 95039\n44317 77071\n11525 41708\n14855 19435\n24205 84411\n33832 84464\n53733 97437\n58439 58599\n34699 64563\n45683 82001\n71505 72173\n23783 29800\n18858 57857\n30246 84965\n53175 54955\n38111 85315\n37932 98982\n18341 95189\n27301 48016\n38510 59296\n22768 35603\n41105 69954\n31728 45135\n7069 68693\n25443 82411\n68292 71840\n45810 77481\n80412 83844\n72797 99978\n2947 48850\n26633 46945\n40261 95675\n7312 9088\n70908 79921\n20215 48837\n29358 96463\n83091 84683\n13299 88113\n21861 71042\n7994 33279\n30407 67731\n43065 46367\n62114 82304\n8389 70193\n11663 84454\n10606 99357\n1460 49257\n21949 52640\n48430 99865\n66091 79716\n32748 44418\n12099 77657\n60791 88167\n12807 50652\n13349 75546\n62670 92538\n1106 95881\n4434 32821\n26146 99841\n42853 64601\n9167 55618\n50074 58358\n8924 14615\n4130 40330\n27615 86835\n17184 26080\n14961 47140\n60561 95081\n15194 55398\n50294 66296\n55567 81818\n217 51412\n63536 74343\n14425 60973\n68517 75475\n75915 82230\n53890 89896\n55125 68794\n18334 57561\n12816 72327\n23497 74341\n50007 59060\n3092 39934\n11531 23740\n35139 49875\n727 90002\n10372 75013\n16304 95099\n25338 47364\n79218 98483\n58918 81272\n34783 51575\n22055 79030\n5961 46441\n64018 82068\n30982 77756\n11488 51020\n26603 49802\n37054 44612\n29949 63744\n25212 82702\n13985 40967\n23428 50205\n26934 63414\n21029 77676\n14435 65027\n11010 65981\n44635 49858\n81590 96257\n16768 27832\n48025 66574\n81888 95833\n26515 92911\n43213 68052\n23279 82383\n24175 70756\n69535 83204\n15417 85013\n24535 51034\n34577 87995\n50431 68636\n19993 41914\n12895 81746\n13121 80230\n8704 51252\n36764 92183\n79632 80006\n38770 72843\n11876 45267\n29612 87455\n35646 41381\n45754 92800\n40356 57151\n56534 93079\n65391 75693\n5191 67319\n7772 19991\n85224 97179\n73240 80174\n6695 57035\n12172 45580\n58971 83193\n27308 31452\n16316 26702\n58322 68971\n45568 74393\n16847 91215\n44058 88459\n52955 83585\n16170 62117\n55295 95930\n8362 54074\n44749 88119\n45795 90774\n24387 70880\n32376 93323\n9946 66818\n21834 24265\n61371 81310\n62849 79586\n52062 77143\n69372 85598\n76978 87563\n65341 81087\n5770 98404\n35727 99460\n37071 70171\n44678 69127\n68543 79520\n39180 61685\n54908 77239\n23887 75719\n39669 71866\n46956 57634\n35830 83452\n46276 57751\n66136 88962\n21848 54856\n18050 73910\n3773 21042\n19675 92966\n48911 57426\n39764 61280\n52402 62283\n44613 74791\n48176 68240\n5282 63036\n38073 53894\n18937 70616\n31877 36010\n49379 87482\n30547 84592\n67482 95660\n4513 97133\n25922 35873\n60604 87409\n32625 44793\n49654 70196\n17239 25402\n7237 59194\n14120 75783\n17899 90056\n375 66634\n90153 97378\n49109 57520\n34487 80216\n1160 93069\n34852 74684\n77816 78255\n42060 62583\n34306 74843\n5200 85104\n3547 97460\n7159 35534\n21037 95094\n62656 82870\n44796 87676\n12347 32565\n29831 64471\n60584 62480\n11363 77207\n56590 93764\n5798 87580\n38007 45967\n63959 99680\n14757 50442\n14434 53834\n29674 80520\n79662 91206\n31938 44679\n68161 92549\n1080 74127\n28512 45462\n23364 55891\n10882 51387\n86504 91126\n13175 71784\n1813 45072\n53737 55687\n71210 85057\n72763 96809\n16359 61929\n20782 74246\n66962 76676\n20490 80553\n24378 73185\n39772 84472\n39 62677\n62312 74450\n2408 75455\n39009 45153\n52022 91356\n81441 82833\n62137 76040\n48719 92075\n22931 41382\n20720 75530\n65639 79268\n9107 9697\n11360 13045\n16603 67834\n65857 89059\n13039 24347\n6359 44363\n86650 89298\n8103 90676\n72196 82869\n27158 73519\n62717 84102\n17359 74506\n39100 56410\n3064 10166\n87001 94065\n30786 93253\n15242 89901\n39966 81910\n33758 80445\n17948 96175\n58257 83245\n10315 13176\n56826 67683\n7577 89307\n29337 75736\n13689 40094\n6808 59991\n33692 94098\n38419 45233\n11440 50623\n2589 53268\n26016 58356\n5046 45127\n5453 61159\n35544 44956\n8503 72343\n20332 32709\n45602 74696\n4738 74446\n7354 28919\n54514 68855\n30656 40355\n18402 44912\n47953 63262\n79491 95028\n76205 99877\n45727 95132\n51183 82058\n24757 95024\n38203 41486\n15265 94180\n527 34281\n65161 82979\n58685 81315\n17044 18567\n65635 89886\n3157 85194\n35644 51199\n66926 94938\n34539 48933\n12271 65966\n26137 59061\n15619 19516\n49991 88368\n35689 66400\n38933 90413\n51776 98357\n30602 64249\n9199 91028\n22373 69525\n42159 48848\n31044 35834\n10007 92227\n71302 74623\n47240 73159\n2440 79851\n49586 76206\n21469 63671\n12792 80748\n37247 43903\n41564 59382\n2365 36984\n29991 75260\n8292 98303\n53353 67143\n33220 95713\n82426 91022\n39772 91015\n41173 64758\n74863 88347\n25844 94377\n60016 63168\n25053 45920\n43346 46931\n3126 57105\n39591 51621\n33056 85639\n144 32923\n77477 86900\n62190 72878\n16177 16970\n13707 42228\n71830 75389\n88465 88922\n55062 97782\n50885 85208\n44320 91282\n21724 88229\n50594 92313\n9723 56165\n8981 41962\n79045 86807\n43512 64998\n52718 83311\n49907 95149\n13897 46299\n60719 80907\n21414 59600\n19807 79489\n60440 68499\n29203 59725\n87953 91496\n87697 88733\n360 84149\n18846 76348\n3860 26457\n30467 82013\n90446 98426\n8302 25527\n23442 64155\n23381 80812\n76326 85143\n16 94804\n59992 83460\n4945 57600\n91317 92890\n95051 99612\n77574 87568\n80825 82739\n6944 29746\n510 93228\n69683 95289\n31082 56569\n65126 93969\n29890 82430\n42396 49753\n32859 40111\n57478 81503\n4688 92187\n27899 82187\n27062 29258\n6328 49823\n1788 97655\n49438 63416\n50307 99854\n26475 83933\n64922 96090\n21992 77465\n44551 45648\n14982 42420\n75753 94820\n9713 18242\n83141 94840\n26483 88532\n10261 31341\n66745 74759\n35791 93672\n15304 92663\n27482 65735\n30457 65699\n20129 53725\n23133 41699\n92045 93204\n22688 49679\n56666 83306\n56015 93530\n11753 68000\n4252 54684\n5289 66711\n25300 86332\n38607 91077\n49860 83493\n20354 40180\n41848 90159\n35315 64318\n1215 70384\n8682 81264\n46877 82631\n23548 95536\n3091 29292\n57771 97040\n4728 11003\n93292 95262\n80887 98229\n4312 80724\n49283 55963\n5159 87642\n13073 80069\n12780 66157\n62198 67162\n1165 10722\n87576 98087\n48702 58890\n37422 56435\n3507 29895\n72694 83686\n85324 98260\n44971 74678\n10346 46699\n20476 55500\n14556 42724\n41028 75762\n12535 34698\n75307 75739\n49770 57144\n7082 75746\n73757 93462\n10327 59202\n10089 90672\n9274 52448\n12021 54170\n66507 83243\n37481 47471\n53585 78115\n50678 95671\n89734 93704\n18203 57457\n35367 92277\n44565 98233\n38 82995\n38552 88696\n49944 58809\n43493 82697\n18548 79807\n866 20712\n70025 94039\n32503 91054\n18146 92413\n39059 91464\n10913 71309\n36043 69380\n37015 57362\n10422 62617\n1087 38731\n63163 76376\n20555 24931\n72882 94092\n6975 97483\n17113 21353\n45733 61862\n26765 35248\n28903 65492\n2851 63521\n57822 79910\n24909 53067\n4380 30257\n56991 93582\n36272 57624\n29132 31523\n14967 57348\n93772 97231\n27043 81736\n32261 36260\n51709 88736\n80860 87563\n43431 83956\n15815 27314\n33270 92345\n25637 81780\n36845 51634\n3485 60953\n25959 77239\n1082 45759\n77241 95296\n3445 63310\n15906 75896\n1387 22443\n15454 45640\n25737 72800\n80736 80980\n37775 58221\n5788 50514\n15943 83908\n13279 84475\n63535 74031\n26363 46641\n29859 61889\n65275 90371\n21390 35100\n11647 19622\n46739 82610\n4065 28412\n18201 46272\n34153 88022\n2447 89568\n1294 10591\n11118 66709\n14744 84513\n25713 99465\n19106 52953\n25026 78946\n23419 65894\n80779 87322\n46850 83217\n47486 97907\n18348 67195\n46468 54261\n27727 72203\n9173 24348\n27205 61930\n12482 81452\n2554 63369\n34727 65211\n69293 84677\n27989 79130\n27652 61560\n1872 85479\n16271 89501\n36446 52415\n42459 97985\n7297 12625\n13002 53202\n13373 85844\n2282 42776\n9593 45669\n65854 95245\n47844 57621\n85047 87391\n23464 91314\n8197 20327\n27740 55373\n2925 12544\n10646 65394\n21068 74663\n7748 33126\n45790 50127\n20060 34730\n28420 60804\n3261 49017\n22916 88141\n16376 17970\n82566 97588\n26058 55684\n17332 79670\n18935 75229\n6238 52767\n6014 32459\n60764 86694\n5257 90867\n25744 50583\n640 1213\n59440 88518\n73730 91277\n5329 86606\n49917 77799\n21900 60724\n48576 61407\n3916 26020\n4645 73019\n5816 95059\n44342 84218\n3286 53145\n86618 96169\n56956 64610\n15386 23715\n41998 85812\n53800 69090\n42279 59297\n230 26897\n37881 45881\n17291 72711\n13429 27376\n6332 40063\n8547 20362\n48264 89937\n63408 92121\n16875 29679\n17960 69448\n17839 83600\n36594 41365\n60652 65065\n8822 15162\n27999 45846\n523 3304\n54623 78354\n42355 61139\n31766 87437\n3947 95985\n4012 11693\n14576 73720\n33419 75865\n19541 81892\n124 56179\n11100 57614\n38555 97094\n7066 45963\n52820 94285\n26315 89623\n39093 51746\n51538 84157\n28297 92126\n23707 26876\n54482 82073\n35217 69058\n57052 60547\n47444 86323\n24213 83335\n17336 39490\n3631 65243\n52321 79388\n13662 78477\n5600 30897\n10574 36411\n25823 40030\n59863 70371\n6410 57640\n26944 89833\n21552 24239\n63458 76474\n38196 49224\n93892 97088\n201 12645\n63322 91507\n35931 62720\n35730 98100\n2941 83620\n65863 82512\n33031 37742\n84086 94310\n85041 90939\n14245 58774\n24534 93301\n9209 66540\n7448 93556\n33511 41383\n29002 99534\n17515 56191\n3131 9585\n2431 51375\n40208 84837\n26862 91817\n13229 98151\n2301 58865\n12213 56198\n55152 95281\n58211 58885\n24275 29868\n52213 80907\n12803 83860\n1367 21519\n61859 91410\n3509 46168\n61507 84205\n32148 92828\n30112 40007\n23056 30552\n46065 71463\n1795 65479\n47087 57702\n12207 63399\n31662 32580\n773 7900\n77537 86950\n87883 98573\n41985 82253\n21971 46247\n30130 46183\n3374 33000\n69485 81070\n90128 90212\n5010 44726\n20496 52631\n25324 30665\n27182 94919\n67251 90560\n33523 75117\n45980 65436\n43942 66348\n18312 34668\n30066 35574\n3255 39972\n43698 62612\n16063 38955\n53690 76904\n46093 47333\n1374 74829\n65485 82310\n42603 81545\n49847 69086\n47086 76404\n6849 32317\n38550 70356\n32460 98689\n41410 47714\n79219 92337\n75628 86350\n47790 90897\n54758 76788\n37415 43054\n59338 75116\n12263 44127\n6566 47419\n12983 28405\n5702 17207\n35183 64636\n9887 76954\n77953 95338\n14788 82499\n19194 46959\n35013 36615\n3401 87020\n78185 80730\n7120 62372\n21076 80884\n41750 93090\n33074 37337\n88562 90549\n11251 94884\n46514 65304\n1733 56076\n31025 54564\n56117 87415\n2811 73997\n1983 84990\n1418 90085\n2281 40846\n18571 73634\n44948 65321\n43408 65585\n2557 53120\n28406 33260\n70701 71371\n25850 26048\n13647 70615\n23691 94484\n78234 92193\n34200 75357\n10928 57444\n57680 93637\n15386 48719\n11596 15370\n16932 35015\n96289 99451\n18063 84381\n62970 94609\n83462 90428\n16551 82864\n12039 47641\n6733 84331\n47211 60657\n36934 85379\n9274 71982\n66347 99477\n49751 78136\n1907 84592\n31266 84859\n5325 83539\n24854 27254\n28148 93141\n73227 89394\n822 44707\n67435 93834\n19249 80221\n39706 65660\n55791 89340\n26675 80031\n33248 62771\n73808 92493\n51575 81171\n60124 70363\n40336 41260\n8848 90006\n19591 50302\n79918 88200\n17925 99129\n50187 79681\n62755 74135\n52006 81224\n32349 71249\n17917 44590\n45114 59131\n2979 82528\n40269 91879\n43626 51496\n72231 79502\n18826 74589\n16425 97611\n32957 36539\n3539 68237\n57315 59539\n80409 81693\n33455 48243\n29301 88893\n149 5645\n10282 60103\n17468 46807\n30018 78205\n42036 65506\n73851 81780\n19228 54471\n91049 97477\n34614 75843\n40064 65724\n49348 86504\n9771 89862\n10998 59533\n3348 83667\n1435 57892\n73378 96924\n17676 61710\n66922 72972\n49727 54020\n41150 65565\n76397 83801\n24155 84226\n48297 92360\n65126 83200\n86557 89611\n41730 52734\n389 59626\n18956 26661\n16012 38970\n10213 97333\n7039 11095\n33409 83850\n22302 33711\n44921 46429\n45046 83222\n42409 61859\n64475 82084\n30680 91584\n42723 51674\n39999 77062\n21155 85480\n9610 88825\n61622 87998\n49070 86803\n13175 31283\n36123 57447\n65464 71429\n20109 99987\n48868 96344\n13946 95076\n63695 83967\n8406 88301\n31051 96654\n14862 69595\n35391 55896\n45684 49584\n74234 81275\n56627 80899\n24893 65562\n51591 85104\n21089 65219\n37791 50834\n60263 69580\n29647 34064\n48562 75729\n1396 98544\n9963 79670\n3666 91231\n64223 93412\n41055 44501\n48590 76564\n5870 69931\n11650 66724\n45483 87287\n42808 82333\n9523 32564\n37753 62815\n5932 50463\n20086 37650\n19760 21059\n24307 79675\n23979 55440\n55086 94218\n22053 81432\n26053 54654\n337 33967\n28157 59926\n11223 82589\n49076 86147\n22198 87957\n2415 55627\n28437 33212\n87015 89698\n65271 67744\n25468 69419\n4491 21023\n64581 87149\n24441 42357\n13194 40988\n29072 68462\n30917 79867\n858 41858\n33601 86142\n9076 79097\n29606 48299\n2027 20094\n20996 75606\n26794 85241\n1562 5103\n15830 61075\n70052 90887\n14779 78901\n18649 99194\n47872 54294\n20475 24800\n78612 93974\n7956 23086\n50153 53937\n64053 97152\n11811 66414\n5043 41759\n35045 67419\n19391 93039\n17297 47511\n47683 63970\n7272 30563\n62377 92920\n64949 94013\n6451 93157\n43855 82212\n15809 32190\n45321 71375\n28752 60904\n13369 24800\n41729 72926\n38367 40648\n9450 97998\n75597 83979\n33092 79879\n77444 95074\n51245 86621\n37824 75455\n41989 86019\n62756 73703\n17151 74657\n33316 75171\n72792 90487\n54897 57339\n31818 41905\n4037 97687\n22306 59723\n30203 55039\n4962 80143\n66431 99221\n30948 85398\n56373 96352\n198 12795\n11270 40978\n3268 42102\n11354 69659\n72888 78773\n29404 88726\n18119 68912\n9580 88726\n67325 94811\n44205 45132\n324 8666\n27745 56771\n42977 91525\n3248 8833\n70610 80129\n54244 92451\n35956 40461\n17021 92954\n17089 61633\n6820 99239\n63282 98860\n15241 92710\n16727 87046\n23088 78432\n16962 62815\n1808 62074\n32839 82149\n53676 56416\n26165 65424\n31909 93483\n26136 54983\n36880 55934\n51547 52713\n71403 77847\n82216 96688\n73795 88254\n19257 40843\n32132 38726\n45770 83335\n13344 62049\n43614 90611\n16735 94110\n4140 85597\n41349 70069\n48816 85453\n62944 74476\n12752 89195\n74599 81479\n53775 85647\n28945 48208\n23341 95748\n11347 62707\n24858 71132\n27096 27547\n6383 31469\n30562 91430\n35476 91309\n30400 57696\n39770 88245\n28815 58981\n2157 40396\n68101 85738\n37216 50227\n72876 75405\n35113 76723\n52213 94368\n11211 65125\n14446 50033\n29081 85325\n43511 90976\n80176 86717\n64509 95073\n41141 91647\n30850 59411\n69633 94621\n13383 90724\n11635 63692\n31146 94504\n21710 54446\n34676 75161\n61725 64871\n54621 55945\n874 18720\n56128 58665\n22472 79889\n10598 57017\n18254 37571\n66943 76864\n6707 46190\n46352 72891\n58037 95469\n56887 97666\n4613 36783\n35623 58120\n11640 81954\n49999 98949\n80585 89293\n23972 39401\n79676 91411\n45276 48670\n38367 82806\n32637 37409\n7509 51091\n44945 54223\n43797 55163\n26578 27151\n1432 42490\n7157 52276\n61891 62104\n19787 85011\n18179 43505\n5115 27449\n26571 74280\n38269 76128\n23506 76890\n30895 50785\n20405 72701\n30205 76711\n29012 36168\n48099 84150\n10894 27799\n28890 84997\n33795 96139\n19684 86643\n61843 80309\n31982 37446\n1768 35940\n74366 97040\n18221 33719\n38855 52193\n21280 75119\n36693 70247\n32874 87579\n3155 78319\n71598 72524\n59033 69772\n46461 62610\n25293 66372\n31266 42903\n272 54273\n75094 91778\n50685 84065\n7384 93174\n16953 53847\n8813 69613\n27124 60345\n23254 41499\n60731 73891\n23942 87705\n45777 91943\n21474 99417\n94173 94428\n7760 69904\n64013 98096\n18495 71731\n91102 96247\n64036 96184\n46929 50425\n2708 6187\n55049 74342\n10647 88641\n25339 93510\n82269 84059\n770 32646\n38371 65208\n23040 49050\n81904 88864\n6296 44145\n67075 97097\n32525 42693\n52944 84177\n47175 53499\n13071 25405\n1871 36481\n2256 30603\n36774 78622\n9586 51722\n30220 76370\n52398 60708\n85488 93545\n40752 51053\n526 38102\n13708 72498\n52352 73214\n53948 96899\n69537 69697\n49806 77160\n24920 33118\n4124 83855\n68717 83112\n38742 53777\n66864 72583\n63401 76081\n7426 7632\n39072 79652\n40140 93646\n14691 32360\n48739 59343\n24677 46920\n34277 40053\n1863 55199\n6786 76942\n3490 15692\n33542 56025\n58243 78372\n45902 84036\n22016 93184\n42806 85043\n20761 83954\n56917 86388\n15876 22574\n2829 39675\n36490 51052\n32983 63874\n39656 49067\n61724 97189\n5096 98087\n12064 20236\n8204 70956\n53594 86930\n27138 50280\n52278 94316\n73311 92906\n48148 96995\n4611 60379\n83606 84647\n38930 99433\n81324 86785\n42575 91390\n41094 91375\n41874 57207\n6449 12799\n8320 46873\n38529 40064\n74095 75160\n38086 90794\n83381 96667\n38133 65939\n5584 39018\n42163 80877\n60273 60498\n44497 44725\n36981 58623\n69264 84118\n28342 46502\n1690 93310\n35307 80462\n60699 99886\n64548 99470\n46710 85670\n21980 45398\n7149 86105\n39046 91272\n9033 68581\n810 47159\n31444 47917\n13287 71151\n80769 93390\n72344 94875\n57026 65545\n46986 53478\n5228 52120\n13720 63604\n1373 56856\n97177 98700\n25317 41529\n29740 68399\n49516 91335\n4078 68067\n6867 59133\n17651 42333\n17066 30912\n78616 96002\n41887 66755\n19181 44547\n46786 52941\n37844 61038\n53574 61044\n29177 87073\n43971 61050\n7244 77648\n298 93011\n22641 41492\n6946 42287\n23149 36617\n45846 71955\n15012 45203\n27577 66654\n29213 65163\n83191 87320\n15748 42201\n11588 60385\n42215 92033\n49805 59014\n30228 79976\n26606 98802\n81772 95074\n36108 82853\n28227 73562\n20334 55209\n57339 70633\n42914 85692\n49218 60702\n18989 97284\n9948 33144\n13518 86934\n38891 80627\n92401 96493\n39401 79039\n33470 49170\n38479 68029\n49298 63940\n1144 37795\n30867 98770\n8855 56105\n36380 78428\n50722 81294\n62413 75548\n4762 23397\n43704 93121\n38133 78938\n1881 53055\n60190 87665\n69122 81289\n81089 81201\n57356 84327\n17377 92452\n7212 61448\n19495 65792\n77428 97920\n94036 98942\n1697 3974\n29306 48188\n21320 25770\n23512 75075\n53282 60634\n18867 76158\n40736 89984\n4178 11731\n76837 83943\n28943 87265\n5108 50734\n3376 37156\n53922 61236\n37607 74968\n87511 93468\n28035 35321\n36594 47186\n29048 97963\n6596 19326\n6310 52522\n61244 64544\n8252 33743\n55088 71951\n93537 95313\n54682 69117\n71680 92958\n9375 83501\n64101 75149\n8466 97841\n37683 47731\n28263 54491\n49551 69203\n79186 99020\n68618 78919\n11530 60008\n6095 78667\n16288 62824\n42683 95622\n63696 70288\n18291 26043\n57662 88151\n2544 96405\n23394 54453\n87293 93643\n65472 86034\n36473 37277\n499 9861\n16211 54825\n66309 97316\n91957 95951\n37640 80043\n25913 94475\n48236 77053\n60883 72797\n33413 42958\n10704 99184\n47880 77009\n21766 95324\n20896 75894\n12390 58487\n10486 24626\n28587 92325\n69949 94765\n33541 99976\n28492 76865\n3096 56113\n66246 86947\n18035 28079\n28579 96349\n37219 88841\n1468 5541\n11053 90670\n48702 92545\n26199 99883\n48157 51774\n38772 82510\n32178 78614\n29304 66453\n29622 86746\n41568 46190\n11923 83901\n30695 80106\n16900 41870\n2666 37776\n50724 60595\n17841 35202\n55575 73403\n58132 91101\n51275 55315\n36535 46787\n93610 96456\n9511 23539\n15790 21689\n69614 70975\n20514 55544\n3517 50212\n8843 71164\n40765 97229\n25691 71990\n83801 91298\n85 94189\n15870 21925\n16328 51685\n23485 71834\n51825 59804\n4875 12985\n92488 95395\n51469 90456\n38382 73826\n6484 81427\n53912 71101\n7084 42697\n75147 86318\n15449 86027\n78431 79688\n29330 29389\n1929 67515\n55942 98910\n12305 14215\n58961 91060\n26440 62319\n7050 45405\n34551 65790\n74968 79192\n6561 33166\n8830 48143\n7274 95396\n39257 76889\n71370 92734\n17389 76058\n67982 92754\n87816 98894\n52352 86011\n96211 98771\n23638 23713\n41761 87809\n34089 65116\n33175 62473\n12195 82843\n46077 78362\n45079 76367\n7353 35879\n83996 97075\n17531 39757\n9348 20233\n54493 76799\n11136 33162\n42744 79072\n83782 84426\n80250 86553\n48831 85590\n48406 59772\n24995 89374\n13053 92512\n21943 71781\n24734 79440\n14602 82258\n39517 66218\n9536 69406\n23560 30658\n29538 77172\n871 73799\n37078 90188\n67367 86876\n36529 91509\n27227 79964\n30356 95868\n56122 84278\n27249 68927\n1379 17130\n43839 46175\n47666 53505\n62913 83444\n8237 96761\n31250 35788\n54205 90203\n13258 52035\n19759 90465\n28415 89179\n55686 77263\n7792 64668\n17209 19210\n65467 66004\n34980 85850\n53850 65813\n49271 50633\n56971 76516\n50802 57635\n1885 79329\n28800 60850\n990 86636\n56153 76242\n79093 86386\n31999 47175\n26873 86537\n44313 65687\n9654 12606\n86005 89584\n6545 64872\n63201 98147\n21793 35874\n50712 72078\n27534 29498\n4904 14878\n16047 54208\n72267 94449\n10105 30855\n40717 75370\n24166 67912\n11362 51630\n71531 94933\n1551 46116\n36851 51439\n91413 93254\n40996 54256\n20936 30213\n9252 75204\n18159 26231\n42004 84809\n25049 33035\n3208 9125\n52334 86464\n30689 55255\n44405 45815\n32529 97578\n21947 33151\n39118 66119\n32122 92554\n35701 92575\n44827 55783\n76201 87213\n13126 49120\n66613 98267\n62439 62772\n2401 49266\n52016 64602\n66314 95233\n3859 18197\n61378 91748\n2285 80826\n58897 60479\n16686 43487\n5010 5998\n60225 88499\n48553 48966\n2730 84371\n53402 80192\n23558 39930\n68307 87591\n3705 60469\n1634 27934\n54913 66090\n12772 73497\n4952 35496\n58031 97123\n55988 64645\n8849 80939\n52158 95856\n35744 70003\n13685 30054\n1877 83634\n9895 51391\n47955 93778\n53355 78214\n8373 61852\n86707 88862\n2940 75941\n42887 53235\n23127 62455\n20049 87335\n8724 13668\n36062 57406\n31781 40245\n7145 46420\n20503 79831\n75480 93720\n54359 87685\n6478 47052\n230 73590\n51781 73751\n10449 29310\n34913 38532\n49592 71938\n60417 77628\n54517 87642\n32107 40187\n54682 66080\n19578 95982\n20059 33679\n44030 64014\n29047 90396\n51106 58225\n9517 94416\n24108 93113\n17662 45880\n10519 48904\n16038 42568\n15057 98252\n58652 98752\n31126 71159\n13982 32085\n36429 74154\n3569 42610\n18036 69279\n83459 95511\n80401 84557\n2951 89351\n14475 33283\n29739 84963\n29912 36371\n35 82834\n39295 93619\n65970 86691\n39805 82175\n57855 72683\n27584 30144\n59378 72092\n57339 76536\n40198 91322\n24945 52191\n36318 43191\n6637 91820\n25001 33502\n10985 92818\n14775 28970\n16071 96288\n8309 35380\n39117 54381\n2502 79202\n91546 96394\n76254 87604\n36945 43361\n8290 86954\n20909 75156\n52172 95745\n95303 96096\n8404 67676\n4051 55548\n49979 83017\n17924 32731\n32868 70948\n15838 28440\n590 66895\n22564 69490\n21480 28218\n64780 78421\n1379 60229\n11104 32185\n3057 50632\n38132 39260\n23994 88211\n53070 95557\n58984 75422\n34900 93249\n8339 60007\n7708 18761\n59931 79336\n439 35674\n28483 59598\n5664 96951\n16947 48485\n7128 61225\n31485 33408\n7924 57768\n35071 92008\n12646 14064\n40086 40618\n6197 29361\n9887 32378\n51620 71472\n51347 56959\n19108 24099\n29432 35800\n47122 95803\n57500 75721\n48737 49122\n3690 22363\n11532 65435\n177 57514\n866 22608\n54556 90372\n35856 44817\n5743 82093\n13286 58006\n65228 96555\n23347 47846\n55458 76763\n18671 51376\n16926 61594\n23883 85509\n22694 89838\n5654 71219\n55992 84074\n45699 90254\n28604 68873\n36692 79107\n43024 96156\n5718 27892\n7688 54077\n63382 93290\n45802 77466\n38329 68890\n83878 90114\n4148 59254\n46529 89303\n1233 30575\n53939 83049\n27989 70185\n46132 55584\n3949 32915\n40379 83687\n23206 61104\n38942 41253\n58612 60648\n40389 40517\n10208 87830\n5520 79410\n54156 60770\n49800 58659\n23817 98940\n43212 56334\n30512 89178\n44277 44603\n20336 28505\n31119 34642\n45752 67611\n33684 85018\n14660 50690\n57263 90230\n13812 32579\n87393 96136\n16632 80557\n4406 75455\n75207 84925\n79219 96023\n72312 81139\n81562 81850\n11535 32006\n29637 37983\n69397 81399\n5695 80741\n34947 87654\n11004 91084\n32928 98243\n43537 70291\n42312 74650\n657 84121\n36500 38453\n48988 66093\n21184 99032\n37731 62508\n20223 81794\n45654 87978\n44315 60242\n17727 60132\n34127 80185\n37640 72432\n27407 77560\n7574 92082\n24929 40510\n28658 68602\n44300 78360\n26664 92048\n27656 97694\n5421 74265\n43374 79437\n37053 47043\n48539 51625\n22138 73819\n71717 95616\n21838 89406\n5897 83482\n18171 72891\n23045 80200\n22032 23244\n42304 97472\n85860 96711\n28452 97161\n16391 73115\n27448 97825\n2994 93085\n19173 48535\n10709 62993\n526 49039\n57882 83223\n27718 74738\n42320 44665\n33289 74819\n23815 48837\n7861 22346\n13136 82894\n9071 37401\n72434 73031\n51276 84472\n10688 53787\n28365 83884\n34821 46934\n60925 83036\n8530 21992\n70286 91031\n23278 34736\n26901 97768\n45685 47021\n2273 28799\n38943 66249\n31435 75506\n18388 52423\n38403 77515\n80404 90975\n23831 61839\n50734 97812\n5862 59852\n47154 64919\n12570 35928\n17143 29124\n26024 59581\n34188 75752\n9951 52948\n12617 51079\n50884 99571\n1391 40083\n23627 28513\n37008 66870\n36772 41383\n51428 82245\n17200 57277\n17720 32770\n44901 69834\n82946 95622\n6513 62671\n28877 63388\n41219 92720\n63831 87473\n14273 37169\n16086 17826\n9669 46875\n3367 77179\n64691 75579\n79796 84824\n37367 62874\n72218 78391\n41852 87693\n74804 86878\n20662 99481\n54424 84475\n18229 96800\n32656 54902\n40254 73510\n29187 78008\n64448 71129\n19791 50691\n35242 87968\n47107 64209\n32447 95535\n41854 61169\n2125 64088\n35277 76200\n12059 19474\n84049 92434\n3287 50571\n6955 97281\n24885 73313\n37279 83709\n53455 90402\n9673 72307\n26275 60383\n21575 23817\n19452 28045\n9190 63144\n51219 87305\n7344 98369\n41545 88437\n58962 85399\n30686 47239\n39455 41921\n9354 95813\n23912 84311\n65987 69893\n79370 96186\n9022 74810\n31871 46596\n57258 79186\n34973 56923\n64642 99702\n71850 73254\n18203 67870\n11938 41755\n8873 87544\n17338 24640\n25595 63141\n67205 95551\n9322 68644\n54617 73094\n48357 68386\n1594 33756\n33637 37776\n19665 66215\n6907 37665\n2860 53812\n22281 53748\n19166 98635\n91679 96631\n11643 49826\n84618 91970\n5672 39039\n27466 90142\n14588 17836\n23737 66777\n330 34181\n76094 80136\n72644 83116\n37754 62123\n57253 75084\n4009 7875\n88011 92991\n40451 42025\n25889 52314\n73224 74394\n30192 80838\n30767 56636\n56702 85269\n58483 65034\n73992 82004\n14774 57909\n27818 61119\n77252 81621\n5598 96701\n23302 79593\n75 11138\n82624 85645\n22135 94549\n38514 90308\n64195 84245\n74111 89205\n16600 58141\n81316 85508\n39649 60829\n69432 85739\n4166 72466\n19933 35927\n3204 78592\n18824 61726\n46746 93129\n40995 93101\n3404 68451\n47807 83965\n7172 16437\n9560 88030\n44170 80952\n35511 51669\n4940 40282\n76380 84080\n18924 60223\n52932 64038\n46542 85820\n28409 40451\n37837 50000\n16200 23794\n28406 53922\n77334 83728\n27653 77688\n58805 71201\n69181 69973\n9591 59180\n38147 96484\n10394 69645\n7624 39875\n15497 60598\n37132 62736\n44852 65671\n19363 24452\n60295 93493\n73317 88720\n16746 36393\n28444 55252\n725 13353\n39295 65169\n23041 93692\n18809 33233\n33542 67011\n10276 29439\n49895 60779\n44328 61246\n52455 92231\n24736 72242\n67038 92734\n14827 32530\n1170 44397\n37866 49917\n45657 68100\n32799 57193\n74711 77583\n21368 37354\n14095 21340\n40173 42784\n851 87149\n21647 33793\n25345 95272\n2788 46546\n68548 73125\n30904 44243\n4878 23327\n69179 74686\n69410 87154\n56049 94438\n77090 87922\n73823 97138\n10416 13019\n14022 23576\n25584 62884\n40834 98028\n80064 95526\n31477 72869\n20353 96603\n23348 72276\n2432 48481\n33443 71070\n50872 54513\n6914 55157\n36898 77843\n48893 69476\n7710 87993\n44570 46551\n51715 94979\n28737 37217\n47090 97742\n6142 40704\n9460 31546\n35468 53420\n24628 72688\n3187 95724\n23159 74777\n31569 63911\n2241 2305\n18394 89951\n30306 30605\n53430 67442\n2483 80889\n2255 82984\n37781 82549\n221 26382\n7123 92994\n30516 77746\n10024 66846\n13897 87517\n7646 66215\n13744 89482\n82300 86960\n6156 9050\n41355 51791\n6027 45319\n60824 95122\n81772 90355\n90805 91623\n3057 71090\n10762 80876\n9003 32231\n56177 57977\n7510 91014\n48243 48771\n60038 98396\n17512 99863\n54494 91771\n70019 94252\n25723 30320\n15008 24520\n24433 88536\n21099 78412\n41228 63603\n75461 89226\n42463 98904\n61083 83452\n4737 79218\n26592 83164\n45040 95433\n34346 85602\n17052 34445\n42983 43434\n5418 25032\n47618 71777\n4028 42103\n37965 91741\n35218 70190\n16782 17489\n11510 77663\n13111 95665\n53767 88679\n5924 29686\n9093 23099\n66267 68828\n56571 99160\n953 38611\n3196 50323\n15797 25713\n25712 83402\n25075 32881\n69431 82816\n22685 44820\n34782 46176\n34060 80139\n46492 61643\n27190 27371\n3512 36693\n68000 74048\n8164 39362\n51300 68034\n11078 96232\n44871 85762\n70944 98708\n55606 91684\n41741 89215\n9714 94122\n54239 81791\n45602 65005\n8439 22276\n64920 68135\n22795 93709\n18466 92085\n9903 66387\n11278 81937\n47623 89916\n19146 20510\n6212 63562\n82662 99872\n48103 87604\n1119 31037\n2021 11845\n14106 75750\n19312 50598\n59002 83345\n28025 87211\n38233 59750\n14520 57991\n83931 92477\n36454 59805\n6436 59299\n13838 51298\n59081 97192\n11122 39189\n26291 55386\n19224 19709\n9011 39937\n37333 41056\n23647 74780\n14670 89319\n16439 61768\n39098 70117\n33598 62031\n2098 30013\n48129 49700\n41083 75172\n27724 36788\n21969 87146\n30873 57978\n1542 93295\n62248 78063\n30415 56202\n37582 59395\n64009 83937\n31724 79280\n17097 75581\n46965 68966\n72928 75569\n41798 94384\n1508 59728\n86097 90010\n29258 93145\n44376 65204\n5083 39350\n3029 55877\n74987 79448\n47072 72094\n686 33566\n62494 91509\n59827 62684\n29871 87348\n49976 70121\n19761 52398\n2608 57052\n58996 63759\n42789 75210\n31151 69405\n59647 71409\n62235 81446\n55945 68260\n1948 73971\n55099 86304\n65524 99242\n11525 75749\n39380 80468\n15282 57932\n37239 63047\n1645 54997\n25621 58187\n25002 71986\n10405 43763\n33753 49548\n33827 71485\n37319 53459\n53132 55793\n1397 99649\n17030 66046\n1055 36553\n28025 98905\n45817 93098\n60035 63684\n20859 52928\n8379 56484\n10859 22173\n21736 45954\n46951 81728\n58429 71365\n52480 83849\n22504 23733\n46964 61910\n5626 53186\n13131 13253\n5231 64022\n10290 24422\n23911 59285\n54354 61979\n23675 30858\n44717 61375\n13997 99567\n6858 53401\n13670 66985\n18740 65000\n14058 21127\n20936 51256\n71865 83516\n74616 87211\n2778 95874\n64416 98313\n75638 90896\n29687 39424\n41401 64496\n55998 58373\n2676 52349\n51873 98501\n22113 62013\n44349 87279\n68833 76376\n59718 71650\n11905 90184\n88113 97063\n43965 76791\n70044 98401\n43699 74711\n34381 95161\n32962 94919\n66182 96670\n16151 55993\n35253 71343\n56885 65783\n13552 52228\n32872 35273\n34606 38302\n85473 99133\n20826 29813\n7782 20254\n37765 75532\n42528 59495\n54093 57110\n12412 72722\n26062 68886\n79927 85804\n19899 35698\n14766 66337\n28485 60809\n48745 55485\n74620 88592\n63515 76879\n16663 75050\n24081 25502\n33148 78523\n61933 96003\n17761 61504\n29247 87188\n36079 87656\n41857 88807\n29171 94773\n47197 71341\n39248 88922\n683 20691\n44125 76933\n105 41614\n58875 61188\n17303 56602\n9397 17474\n28447 35778\n26149 79325\n33816 68477\n13531 61895\n11181 39502\n2734 16734\n4673 34165\n56451 79946\n20287 43815\n27696 58994\n24501 31073\n27836 42607\n32623 39061\n26717 43714\n25382 85629\n23900 62362\n32038 92901\n13143 27255\n54517 91221\n18388 34183\n28899 61882\n21442 36448\n12830 27883\n27087 62709\n19289 25868\n83107 88612\n13743 19736\n9435 17304\n47028 99385\n48267 61821\n74605 98130\n19092 40141\n22348 66630\n23453 59928\n13993 98547\n44366 63199\n23804 25420\n87060 94086\n22502 85588\n50220 83695\n41332 98702\n20863 89343\n22798 81921\n5609 27897\n31522 40079\n33762 96177\n14986 88760\n32059 53374\n3903 68689\n14437 74159\n185 17541\n41651 92686\n80313 92389\n71195 77996\n22342 87210\n26818 78903\n59965 65070\n2900 38113\n6016 10951\n26089 98683\n10641 85692\n18751 32994\n85753 88526\n43952 78998\n47498 79164\n49822 58607\n2907 66658\n57653 64629\n6822 20807\n64171 81959\n75686 91686\n64378 71521\n10782 48469\n1393 23875\n80780 87707\n52080 79338\n46242 49955\n26855 53461\n26792 83053\n33245 97988\n1111 18336\n18967 71948\n45902 60467\n64643 78398\n6371 65037\n18394 80956\n14395 62208\n9894 48347\n30854 67349\n11189 54121\n51408 68011\n75996 98575\n1702 86558\n65057 65748\n24723 71442\n62452 96409\n18579 70866\n38198 73018\n60529 83939\n16825 59186\n42255 67777\n26389 33036\n41082 62404\n39876 45336\n50532 96615\n82159 87694\n15888 39645\n20502 72661\n38249 75851\n295 59355\n53897 98874\n58312 59134\n796 43675\n53817 91405\n20330 97341\n5078 95377\n5060 80333\n89026 99729\n61808 95897\n15369 31968\n58747 67617\n37694 69568\n15229 83128\n36898 87408\n2517 73743\n35797 87313\n42639 72042\n7837 76583\n2115 75258\n50212 79456\n12119 18078\n45333 85632\n56001 82656\n7650 33894\n321 21231\n27376 35177\n65692 96992\n3903 23367\n41652 82931\n5922 53325\n2301 57316\n61965 89059\n3300 95031\n21885 68803\n26748 52179\n40878 94957\n32834 94098\n18096 93110\n71281 95301\n17686 32287\n72893 96683\n9313 62281\n60056 86708\n15288 24762\n81412 92957\n24916 71238\n45231 63016\n39167 80024\n10250 52750\n37798 43369\n13766 22718\n13019 74194\n40791 92736\n54390 80251\n15816 99003\n33730 37211\n50776 99355\n52837 87380\n48510 90093\n5852 57443\n41159 77766\n84827 99765\n10198 72492\n2375 55597\n93681 96849\n50727 58063\n32849 85624\n46774 66376\n57941 95860\n17986 68165\n62679 78483\n64556 99699\n30623 84858\n62188 98944\n85375 95494\n17006 63489\n18571 71707\n74991 99492\n90499 96443\n19696 59347\n48514 51839\n17462 40689\n23789 36950\n41272 76074\n37943 76116\n365 21996\n7911 58632\n2131 30071\n53373 89074\n47116 88943\n14771 38934\n391 6412\n23094 59831\n65929 92685\n43774 77469\n65234 96299\n26247 67210\n54364 80778\n3081 9459\n11198 88511\n62306 95636\n17956 75548\n22669 68686\n20471 29375\n80352 92442\n21284 51833\n9933 44880\n31063 36068\n27957 56446\n58414 61838\n12752 50239\n6004 47170\n37801 47805\n25241 98354\n42290 42310\n62698 67770\n32818 74706\n19829 57621\n33086 43440\n41946 72100\n45661 99298\n557 61985\n8667 25485\n40413 94215\n38955 99062\n3227 67549\n33835 86662\n63145 72133\n15829 35675\n64244 84243\n30262 67229\n8933 77933\n47605 99426\n10041 94938\n5513 45983\n35749 55893\n39221 67717\n73583 95713\n42651 76707\n51341 92246\n81910 83757\n61597 73508\n9170 84441\n36420 71409\n10321 21497\n75165 98933\n29023 71341\n35452 62648\n11240 31671\n27328 36154\n59756 86484\n32398 77406\n43008 88120\n726 24366\n15533 89462\n15521 30527\n66455 69943\n11926 90248\n35026 75778\n58356 82749\n38411 56765\n87523 91552\n42923 79727\n49760 53970\n13206 89780\n23149 84532\n44051 63540\n28512 35272\n7678 98534\n33132 47121\n75135 78269\n25503 48880\n7375 15629\n17624 37710\n50122 66980\n18092 65744\n46529 98119\n16795 66088\n16324 90847\n9231 75247\n55659 82939\n63150 84114\n4403 18710\n67318 99913\n19730 31274\n53363 77911\n85372 89987\n59481 85540\n34444 37478\n42174 73543\n58909 73911\n908 65410\n60854 63579\n23712 25284\n20928 29147\n27641 59466\n63652 85811\n57043 82254\n40206 41750\n10498 25376\n23842 72089\n9702 26967\n17972 92134\n30040 69634\n83833 84489\n56373 95028\n98783 99986\n73664 93766\n62075 88303\n39913 95489\n30417 54552\n48088 93745\n71397 95132\n14147 23365\n26569 73188\n16532 44738\n15810 82278\n40177 94606\n17755 88786\n54942 83468\n50022 78208\n18053 38306\n9540 27277\n61485 61850\n73046 88502\n12551 90758\n33744 98098\n4329 17673\n1489 79419\n48048 55179\n58370 81167\n2793 97661\n12405 59257\n34695 42066\n40967 85271\n73072 78597\n7863 65669\n5448 60368\n41813 81368\n40458 45637\n46816 80751\n34805 83310\n5115 44904\n32010 82390\n12866 97889\n31442 75359\n1755 55177\n30839 71444\n42813 59165\n20550 99068\n25095 45278\n97 40086\n10642 98500\n15159 26254\n20412 80053\n25589 43894\n3121 72568\n15933 67148\n38370 46610\n71240 87721\n65089 74844\n11978 57410\n55524 98142\n11490 29498\n68891 89146\n9262 21292\n67977 94832\n25021 69590\n56081 86585\n61326 88859\n7523 39919\n34330 68308\n20836 86790\n6157 34477\n5833 28701\n30425 81874\n71384 73748\n2386 47446\n79248 91396\n69908 89471\n31074 47889\n4711 35190\n2553 93294\n14193 59814\n62759 97714\n79763 85575\n35419 35665\n11278 95543\n40391 80399\n16691 46165\n38721 55090\n35308 56490\n580 45443\n54450 64098\n75232 77401\n12787 20692\n45626 98052\n7520 66232\n71310 74789\n18593 59845\n24449 78153\n25478 27703\n21173 75584\n29104 43860\n25560 74840\n13407 16808\n80786 87926\n19068 23572\n52886 90710\n5322 65572\n40448 45197\n4204 79253\n78274 96523\n43578 91553\n32050 35703\n6765 47947\n22519 73030\n49152 69730\n36580 42163\n1764 36321\n1005 69350\n14795 92156\n49693 64174\n4089 8401\n24354 45109\n32320 53146\n13178 16101\n6802 54341\n52272 88826\n20533 58800\n5751 18383\n69722 91504\n7881 83250\n29783 52935\n17365 40064\n56802 87614\n51 91357\n24376 53808\n397 95867\n29855 57689\n2272 86553\n45530 47518\n19166 47100\n37330 98623\n56959 89039\n7533 48754\n88340 92363\n78405 99682\n49336 63158\n74461 92137\n39323 54020\n7065 41067\n1305 74400\n10406 13989\n35530 56691\n58006 67238\n67282 81759\n13322 70528\n24977 93930\n59569 78377\n2407 75935\n13679 36419\n31874 88955\n45311 88387\n64556 87962\n6163 20423\n1215 51968\n95360 95791\n6090 94781\n45359 46249\n7338 85411\n20863 32137\n11918 98596\n21126 82076\n41342 86540\n24992 31645\n39867 89712\n45566 82545\n43174 46656\n15590 84645\n45634 80689\n13136 39522\n43058 95848\n19068 62739\n34607 93109\n11900 23922\n425 3917\n59278 79123\n6058 60573\n9845 64286\n45433 84640\n13909 93244\n19363 51114\n6595 71369\n43143 78311\n11890 18261\n59877 73204\n16272 43332\n33883 83788\n26460 96133\n39242 45515\n17900 46074\n15203 38814\n40956 94805\n25340 74702\n69882 89996\n12033 13255\n31959 82287\n3408 43180\n50850 64901\n653 60256\n17418 49617\n31360 48063\n4362 4379\n54040 70161\n32322 92803\n25452 81199\n6603 60693\n12528 96619\n16949 52226\n38374 81128\n13097 29418\n80071 92794\n5381 85778\n6797 47704\n74626 85142\n14458 83843\n72713 95791\n5663 96945\n18439 69367\n19311 35819\n80402 99534\n80710 81455\n18988 63322\n48296 75140\n29943 44252\n14459 64350\n65952 74443\n29448 76070\n12342 62998\n60766 94293\n35175 67875\n20559 42680\n26037 44846\n89013 98139\n1779 93169\n1518 21486\n9786 24730\n44967 91434\n27702 43929\n18791 30288\n32337 73561\n20102 63491\n66301 97254\n36250 95597\n28821 99033\n2124 51751\n6705 45108\n29043 75461\n44074 98662\n7054 10639\n47269 93320\n41784 88253\n46610 49480\n10293 70415\n38300 65381\n24825 43133\n18506 19866\n314 52192\n78086 84906\n17778 58975\n45198 76334\n5073 26977\n54668 99543\n24809 72915\n29712 84996\n26189 59279\n34153 70967\n48357 94532\n65449 96635\n7632 38840\n1797 10845\n23498 54835\n32461 69223\n12287 43224\n13881 77359\n13847 33419\n6847 21275\n3743 19229\n18209 47949\n65375 81721\n41798 69105\n3009 5968\n54722 88280\n58769 86388\n10470 90726\n15393 76336\n10706 87812\n62955 69565\n18938 48416\n5734 75332\n9690 11991\n5184 75454\n19853 23482\n16422 84943\n32161 67404\n3266 83638\n28500 89712\n55337 65707\n53220 63712\n15273 33962\n3752 8478\n65974 78161\n18926 80172\n35838 68815\n19843 49276\n37000 37287\n35790 71060\n52757 70361\n23813 28705\n3540 49070\n44949 55164\n18656 40203\n17791 18549\n29361 82924\n3822 28094\n22637 52095\n38879 87954\n30749 43043\n19007 29841\n1492 39589\n3432 45335\n76079 97690\n19196 34583\n26582 58350\n45711 64915\n25221 73238\n21004 26091\n26358 41447\n41057 41327\n91902 96988\n20347 62946\n14655 67247\n57555 97271\n47786 92773\n53002 77043\n12584 59246\n24708 93865\n11181 86234\n37775 62929\n30120 79550\n28140 38689\n15864 54482\n3070 39712\n11687 28053\n34319 57835\n18023 56370\n32303 61565\n42465 55156\n37454 88653\n41010 75558\n2611 91026\n85189 88531\n73735 84983\n25898 46268\n16195 17169\n85849 94492\n14714 54542\n82340 90458\n40968 74986\n64250 84515\n54200 59586\n24531 48830\n51097 67172\n57252 79557\n49727 63315\n4603 51475\n22523 39855\n75435 87360\n41333 88242\n6680 73648\n10791 32231\n17215 90247\n31897 64641\n39495 76499\n12546 77804\n40519 64725\n79712 98429\n993 24481\n4294 75448\n64145 67932\n11629 78714\n14793 36526\n6663 54430\n24657 88073\n30426 99657\n30502 54957\n15306 36124\n16814 98567\n15725 94893\n36344 66802\n54822 77287\n12471 79692\n74299 86046\n83993 99069\n29571 40976\n30702 35684\n23390 41910\n45933 99425\n16449 79474\n39693 78173\n5247 66228\n705 34682\n6055 91522\n53960 88835\n76218 88344\n73202 92328\n5335 24529\n321 64745\n17267 19265\n35099 68922\n31834 82828\n64935 78227\n33649 37572\n34874 68590\n41169 83957\n19936 98602\n17544 82050\n7892 71136\n10858 71785\n35136 37361\n67007 97871\n28175 28456\n567 53949\n22534 89312\n25082 43054\n52524 70957\n50415 59836\n11743 40386\n57194 82631\n26983 64677\n8315 95317\n93604 95079\n32027 54449\n18509 33489\n22991 67775\n11824 18787\n36150 40863\n16073 69508\n53942 81412\n2542 36251\n20368 33801\n19652 77284\n6991 87199\n80188 86544\n3780 89872\n67105 86398\n55388 79844\n789 32308\n73982 91154\n13732 72792\n48140 74112\n49423 50714\n12761 79292\n23394 30234\n40093 93777\n19937 52177\n29861 34264\n61503 97622\n12822 99573\n10981 51436\n47879 50314\n25171 63137\n36120 73571\n67085 70378\n58862 98141\n26057 60822\n44960 54258\n70891 98880\n44036 50720\n33493 94323\n15538 35071\n27476 31976\n78895 90968\n2639 47563\n23568 50596\n48488 53287\n4 41182\n32292 79127\n13132 54936\n14354 92871\n74833 91583\n36837 74596\n24914 26534\n58414 59158\n32396 76109\n4730 17101\n11571 79344\n33593 43403\n27490 60125\n6939 54323\n55727 82832\n25134 96882\n87686 91343\n61775 81603\n28450 56307\n25371 73409\n65997 81586\n77649 88947\n21179 65975\n71513 93634\n24131 99124\n71523 82679\n31780 99535\n20710 42951\n71294 73230\n63508 96968\n48908 70993\n7679 91490\n13662 37976\n87717 90099\n9676 77725\n16132 60229\n34454 88837\n40301 84956\n40111 71141\n27583 71477\n1887 60497\n50801 65500\n84220 87259\n44626 81705\n16774 28809\n77146 99655\n40445 40699\n50328 90610\n7459 28583\n6797 55732\n31777 70611\n26631 57990\n21414 60159\n26440 31419\n92245 92715\n31156 90614\n40253 86890\n35535 83230\n22652 91855\n13132 49353\n20064 21583\n47293 55767\n3046 99559\n75274 86069\n660 8580\n51014 54152\n46999 48600\n4516 99787\n45748 73200\n53056 66236\n24114 27188\n64503 66072\n15736 62080\n58537 58644\n18387 74085\n32341 99229\n53141 91491\n17132 31417\n16306 31042\n8044 84393\n11240 49353\n26205 27691\n14627 65126\n41568 93641\n27502 73155\n63753 89215\n11496 33658\n7436 79126\n3782 42807\n75443 98377\n9934 84820\n26443 51267\n11503 71348\n20023 74394\n40319 96933\n93524 97071\n182 28716\n51157 91994\n14962 55179\n18975 91006\n12213 51000\n26194 45196\n25790 55298\n17009 88127\n12634 34236\n4251 31836\n25640 96767\n90129 98989\n70391 89278\n25200 98063\n33171 70473\n8885 97024\n2282 19504\n31633 64058\n40019 43917\n6452 19935\n22165 52344\n68956 85228\n56201 58795\n65480 87299\n61722 76960\n77069 99896\n34467 47773\n80288 88545\n34969 39437\n45572 46782\n5201 80099\n21411 92104\n25049 77538\n9365 42125\n9922 95624\n74352 99175\n65307 74107\n55615 82864\n23025 56258\n12816 95882\n21930 36745\n19235 77710\n21522 63542\n8586 99117\n6820 97683\n240 35675\n47655 61045\n13955 64883\n29442 93143\n76730 94873\n36921 95057\n11791 69253\n49319 68694\n17274 80641\n44730 84190\n62525 72814\n17745 46692\n21076 55839\n28931 74093\n28804 64689\n84421 88541\n35511 92383\n19689 59274\n6426 7700\n13483 79753\n52712 91886\n19000 78281\n60065 99301\n8580 44389\n60791 99462\n30146 63114\n15638 77869\n17867 24508\n35254 52041\n34759 91802\n34329 72329\n21866 86622\n84658 90300\n46159 72049\n38226 73124\n6453 8987\n50617 92055\n23755 30289\n948 28002\n30751 42139\n13023 14627\n67770 90039\n37575 71482\n28989 35708\n43880 95069\n18701 87440\n68386 77731\n79168 80881\n57320 87008\n29670 94949\n27671 31616\n81769 86559\n9346 40054\n36407 38702\n31413 92563\n39098 75156\n7148 68182\n7739 91971\n19868 41003\n53610 99376\n30964 78926\n65373 96804\n63670 65931\n51585 90790\n60881 92429\n14017 36341\n23522 33103\n40099 51410\n18590 29082\n18413 84917\n19184 83221\n27339 75608\n8571 56816\n64266 83440\n56482 60485\n31478 49690\n55699 78200\n36721 87863\n2086 95094\n88822 91686\n19033 49041\n41443 78483\n14630 67129\n24032 51681\n10812 21483\n2623 22802\n83275 97739\n39466 64752\n39121 93814\n38337 85369\n34443 70244\n64694 77213\n35912 48688\n19056 20099\n14950 57941\n95586 99712\n2124 3587\n31844 63841\n15435 77431\n2776 58002\n66852 82078\n34102 93682\n12380 22594\n50347 96546\n24453 83615\n59832 67291\n4038 24125\n54384 58952\n4021 10024\n23230 36310\n52226 57221\n11465 54305\n5940 44153\n24566 32018\n56324 75828\n42704 52632\n5045 29894\n18611 76284\n25655 71983\n42736 96776\n10167 90526\n11569 71718\n31320 58506\n8875 67381\n23485 98490\n3600 98250\n6612 14911\n4546 48581\n14745 91315\n24645 37089\n17192 32141\n36980 41475\n59855 79116\n18133 88419\n44032 89364\n26778 42329\n14535 67821\n14325 96578\n32614 40120\n38718 59045\n48947 56062\n87997 97740\n29721 44028\n5211 20204\n25427 27970\n20578 30094\n4734 95013\n16267 90813\n11040 60462\n22530 41473\n30108 41957\n16179 26424\n34132 59515\n68234 77454\n31640 81182\n23064 81681\n31697 80669\n27076 44289\n36193 81218\n61159 80565\n52839 72263\n76517 88396\n58570 72065\n32136 44226\n10971 44024\n14286 27684\n22178 63127\n40348 65889\n22559 38523\n7689 59786\n1905 66516\n5800 89789\n61514 81746\n7391 39823\n37529 41408\n60322 97478\n5609 48593\n20400 90363\n10764 94827\n61223 78722\n8060 28398\n1731 25193\n27758 39099\n27289 45819\n26074 88159\n10122 76862\n11978 23189\n9851 90687\n3186 71247\n16831 49880\n11322 23911\n24225 57859\n33794 53067\n54014 63237\n73257 89760\n27010 27594\n19320 20302\n14027 82746\n55977 59757\n72320 80057\n23693 86386\n58692 70678\n48751 72507\n50875 70338\n13504 81107\n4172 42270\n15776 67145\n69589 98730\n34210 85095\n15118 99192\n27081 85171\n8530 56272\n33483 38516\n21538 89576\n4073 12942\n47569 54785\n8974 13986\n65855 70524\n28312 83010\n6683 31604\n54111 55044\n44563 98391\n43243 97140\n21308 85722\n40120 87177\n25677 45593\n38851 61266\n1134 54339\n40500 47735\n46940 85564\n25918 85768\n80747 91271\n18796 50631\n58193 84115\n28594 94949\n41683 51474\n3473 85815\n30386 92299\n27006 42950\n29817 93317\n11028 53078\n92641 95395\n36695 44797\n20430 85764\n35192 84099\n14592 15183\n30755 44024\n14430 49100\n59818 87634\n12089 56510\n6307 20785\n7979 63756\n90598 94119\n38946 77293\n37606 83232\n76484 95250\n22453 46272\n47466 78172\n68351 75447\n10627 84191\n4786 79753\n27639 34191\n42070 72529\n50482 87990\n2890 54372\n30716 53950\n24793 96374\n22288 98599\n842 91531\n14421 21523\n33100 67338\n52659 82053\n65722 88104\n42625 99839\n15644 51062\n1001 5062\n39005 65588\n32366 57448\n5916 90377\n21519 94631\n73757 86736\n75785 79743\n37565 80559\n34153 75300\n14107 58895\n37612 88264\n1779 20275\n59734 67921\n69465 78188\n53076 61529\n36866 89041\n145 11026\n13033 92764\n39986 65866\n37318 55609\n15293 93220\n56500 98371\n2736 97590\n26299 32020\n52399 69908\n77103 95294\n33682 85688\n45941 82023\n32978 96267\n33248 77053\n70461 87717\n25625 61726\n56062 70519\n55140 88758\n37914 95499\n55262 83570\n88911 99129\n38864 99869\n65367 80176\n40303 98637\n2820 68703\n7103 66231\n501 4333\n43764 97092\n3809 53596\n701 22667\n37398 93174\n34351 63876\n11569 57049\n75341 99403\n36348 87939\n672 16041\n55784 72546\n56386 71732\n62421 65950\n30362 65839\n15701 92136\n57344 83505\n33767 47300\n6894 65946\n21510 69127\n9366 91516\n64330 97184\n72554 75567\n3963 98005\n16918 71486\n9111 51521\n34070 92701\n2680 98201\n14052 70248\n45808 93772\n62267 80731\n4123 68183\n61848 90769\n17779 49321\n41196 50484\n45095 52755\n13770 93993\n60307 87683\n71886 78193\n2838 6608\n6398 68783\n5046 93959\n13329 95908\n45405 70638\n71834 74941\n20393 30511\n13337 27298\n4529 72526\n64927 90452\n16140 75552\n51648 60514\n24598 61213\n27524 53628\n1378 97031\n86657 91193\n22290 89649\n92071 96096\n15743 39631\n52334 91854\n38333 78708\n1634 98692\n47126 80681\n7994 60427\n72359 97827\n9732 64925\n28272 94246\n57708 76863\n61915 81640\n53771 83809\n3437 17130\n55803 77772\n31884 90291\n27796 78957\n58753 79400\n44694 85393\n13293 66667\n55990 97207\n62835 98295\n39367 48640\n19216 24781\n74549 90031\n47928 97063\n59286 73618\n37580 46331\n57701 66624\n49128 95008\n30920 38767\n23014 90287\n3061 59406\n49342 63666\n6161 37909\n59816 82691\n44075 53457\n76598 98337\n93118 98386\n8353 44825\n9498 29112\n3014 53098\n34721 87720\n73051 87314\n8764 59328\n56514 79970\n92298 99770\n3872 15739\n22648 57995\n12499 62367\n53561 89847\n38214 91991\n21510 42579\n67594 93732\n79959 89435\n68367 68415\n447 6057\n11824 64668\n6973 32632\n32018 77040\n53098 98329\n45621 95414\n188 98818\n84738 97297\n79248 86326\n46761 93768\n15478 19901\n44193 67560\n57671 61206\n30117 52590\n21572 39178\n1527 79718\n27035 49264\n8094 35262\n77530 90971\n67435 92223\n17043 25415\n68205 75307\n6487 58884\n65663 99877\n12476 18358\n28055 98428\n30584 37844\n49793 93830\n65910 93421\n25370 31475\n8969 98761\n47639 87354\n23231 89393\n23439 72354\n41767 68463\n19235 95125\n40914 64751\n26362 43155\n8379 12334\n45199 46935\n48312 58489\n25601 60759\n51325 90244\n7132 45333\n46966 66491\n60449 84365\n12249 69142\n63862 96543\n40810 89016\n18586 92103\n41685 65567\n23807 48652\n40963 84233\n50305 93795\n68084 70504\n75783 95342\n6661 95308\n2622 32485\n52181 53286\n56278 72061\n32958 96222\n15464 19256\n62486 94851\n18723 51523\n27486 70050\n27708 46368\n4529 48158\n46912 79936\n4529 83733\n18135 77036\n2812 76745\n76285 89531\n51036 91260\n33217 43149\n49258 66487\n78739 87119\n81855 88643\n44787 97102\n16501 37832\n3898 55923\n41917 91899\n1111 13478\n9865 55198\n25394 73525\n146 43796\n16757 34498\n56645 77583\n45263 51830\n36351 96566\n1451 82041\n59558 75627\n85553 94260\n198 41241\n33693 46614\n15537 67331\n1611 12664\n8762 51192\n8563 16630\n9703 49446\n22050 24420\n4053 40272\n2324 14785\n845 28676\n19908 31146\n21760 48957\n57797 72708\n36751 50695\n26938 74243\n75643 94097\n44215 89026\n41439 76929\n51557 54366\n33019 59577\n46553 82247\n5285 30428\n1494 85665\n44013 80261\n14456 95123\n49970 53510\n35647 50144\n73762 82685\n81046 98112\n8449 31583\n63424 74481\n24088 42170\n63839 66263\n15930 68199\n4267 5669\n29465 68305\n41052 95839\n2576 19884\n29480 97307\n26558 71416\n42375 60016\n35592 49878\n3310 92966\n30634 33466\n17814 46230\n68576 94297\n32517 46463\n7800 97093\n28067 99962\n5997 97546\n36519 84150\n50853 99295\n12204 99920\n83249 84712\n28665 30457\n50916 77941\n6586 7548\n18228 87407\n13176 38147\n29485 48710\n11006 34459\n44884 50772\n31758 90037\n39401 67849\n20440 83176\n16217 20833\n28147 69467\n48721 91061\n26076 55832\n30011 84178\n16216 77426\n3570 67810\n80102 96602\n28472 62773\n14748 83274\n15821 50302\n7921 23391\n38096 54517\n2116 63563\n27036 97610\n9034 10446\n75254 85378\n52906 80158\n27104 32732\n56723 61726\n19289 24574\n47392 73311\n47009 82762\n36415 97717\n9674 35401\n31632 40336\n50106 85583\n16299 48913\n44061 96720\n46528 57066\n9739 40213\n8779 85367\n9864 18493\n11866 93992\n46140 85231\n10552 91820\n35266 92768\n20920 21392\n83627 87837\n31666 61467\n9331 25167\n2627 31018\n33650 43022\n53535 66650\n33424 57483\n27521 94586\n54486 88046\n43718 48783\n14998 96400\n11084 42047\n7948 27183\n25825 85624\n13130 65965\n20638 90054\n11540 87278\n25715 59892\n15145 17521\n69976 90733\n3335 27287\n9329 53195\n35224 77960\n62370 95418\n5630 48352\n21832 95878\n4267 82548\n78 89756\n49106 87853\n19860 50185\n13186 20674\n47995 78710\n66072 66574\n13347 38635\n49480 96263\n68582 94496\n78891 91476\n51567 85794\n38435 65020\n37356 66282\n125 80115\n66449 97497\n20823 73371\n67861 95988\n3074 72249\n41094 46894\n44745 92107\n51270 87467\n73727 97585\n28751 30490\n28800 85284\n2601 45498\n87783 89095\n17281 31991\n27372 33557\n65103 68785\n32889 36235\n80729 92887\n22635 99147\n13361 86698\n49298 51273\n14504 95176\n52140 96984\n14114 38451\n5818 61929\n18699 60340\n52186 96960\n46341 61230\n28473 93671\n26483 36580\n64684 96673\n5732 10029\n84919 94088\n8300 60560\n15227 60318\n3532 10511\n46117 84133\n11603 91828\n70835 77127\n46648 93485\n19757 67290\n50625 84221\n40528 93491\n29954 43903\n9063 67553\n9189 42005\n26337 49344\n21530 49316\n67335 80234\n70630 84021\n29996 81088\n63381 77877\n51688 62161\n40991 97368\n15517 36951\n23400 63367\n61716 65902\n64790 86502\n12858 73611\n46849 50825\n45353 98822\n3493 88186\n8116 40226\n6437 12203\n3272 57250\n65676 97368\n8236 31520\n54439 97793\n3252 66863\n52778 70863\n874 59681\n26961 45548\n69576 95947\n5745 15108\n6771 89104\n13930 44863\n4069 41853\n9027 24934\n20831 46570\n13398 57870\n81168 96896\n61014 87636\n7795 20216\n41834 58270\n3491 97681\n53441 57515\n2212 73040\n13618 43601\n61947 80200\n1116 32503\n52001 64705\n845 14119\n10244 33330\n27314 89883\n47718 59426\n28325 97239\n15843 40250\n19213 59821\n9865 38059\n40111 50048\n1478 66643\n47053 71208\n60504 95189\n694 74367\n15136 33225\n56775 73367\n16885 85333\n5677 81689\n60759 93814\n5217 63606\n38561 43034\n20716 35879\n1677 61523\n38436 66214\n45031 78145\n5207 41100\n47488 48085\n40820 69563\n10105 68266\n16107 71324\n24985 34775\n16913 62598\n43968 44528\n67608 88383\n25750 87572\n57552 62855\n54566 72832\n11031 39809\n48167 52112\n5274 9853\n77973 95713\n23603 86079\n46472 84737\n15699 88683\n62552 81753\n5852 16111\n1352 78944\n81639 85608\n46087 79641\n53536 55483\n3501 26584\n29198 60951\n25306 88905\n6905 42460\n24665 26462\n19492 26980\n7263 71025\n58584 73011\n30257 54138\n655 69160\n45970 47065\n52019 56308\n73991 85919\n2036 60931\n35536 86031\n44209 67487\n50643 75487\n25842 46128\n5742 22387\n9504 30988\n3305 8555\n50510 75147\n8010 13350\n11086 67206\n7183 31169\n15843 24512\n35914 80912\n30970 80859\n16939 37407\n4568 38992\n55887 57344\n17042 91134\n27464 74598\n35583 39940\n16245 66064\n10274 86901\n7082 73193\n46284 63324\n59091 95827\n39401 86621\n16829 56934\n5126 38652\n70505 81983\n32519 65863\n65450 76004\n20898 99772\n14841 16731\n3652 78712\n5087 34560\n2144 26014\n68165 86250\n25713 64097\n18106 97192\n31467 57115\n6140 39194\n22850 63171\n5861 35308\n79135 99056\n73279 85485\n43829 59220\n28731 56325\n4540 72893\n19559 30683\n50172 99019\n44411 83355\n15082 68765\n79445 80628\n66685 95941\n48272 88452\n2183 60441\n18327 81880\n1376 53845\n56818 58834\n11639 34278\n9506 73918\n16499 36035\n29142 35381\n5611 55494\n29418 89356\n16276 18372\n258 92544\n28049 58822\n624 9956\n80480 99453\n35912 71883\n33073 57389\n20541 72891\n14401 72821\n24949 67895\n47286 65440\n40944 48654\n24410 40926\n48506 89022\n28516 40338\n6842 46679\n69556 99714\n22545 44228\n76865 83104\n51713 72079\n52229 93380\n44805 68661\n70612 85465\n28411 60116\n34915 66810\n9997 58958\n73242 98316\n23379 65293\n16305 69570\n71948 74383\n11246 73174\n26879 71439\n17817 79568\n24728 38962\n68452 75438\n15434 28803\n32352 72963\n86337 93522\n51023 61492\n84173 95746\n2109 66466\n23993 26386\n14418 40458\n12716 72677\n24262 75102\n14093 83357\n56952 95913\n50470 75425\n49807 76220\n50629 62811\n34049 39479\n981 53991\n39597 58254\n76779 76811\n40882 56130\n5950 19682\n27358 70931\n21748 78979\n49973 51977\n38519 61151\n38381 75365\n32935 57782\n10016 57041\n32524 41877\n66144 98269\n4252 53726\n50205 73722\n25510 35901\n55708 56970\n25137 33269\n36523 54563\n71671 72975\n2429 86892\n75242 85347\n5602 46106\n10188 92615\n65457 74754\n14785 34780\n13457 89795\n40454 62406\n87682 99236\n28266 97617\n42757 90417\n75767 89143\n11565 79575\n42194 57296\n37580 81292\n28589 38257\n20053 63044\n60090 82172\n15489 20195\n16825 53485\n11099 69276\n65039 93960\n87405 92816\n35462 70883\n66488 87090\n19470 32790\n22940 31339\n38406 93574\n43213 45865\n13924 74997\n11582 48032\n6539 15377\n24748 99198\n30487 87342\n36977 81244\n12003 13853\n2673 70777\n35370 80016\n9647 74749\n23551 81452\n14092 91721\n5900 79897\n72847 89233\n7311 81619\n65459 98868\n50261 69604\n20349 63006\n15432 49717\n33354 66184\n24825 75015\n10856 87725\n44785 81263\n63951 89179\n13639 91595\n5578 29317\n46782 80352\n1819 67318\n7719 46581\n54069 62755\n4163 46442\n36512 48482\n1889 31589\n45191 87020\n4358 42158\n6376 14204\n33173 48545\n63069 67304\n67920 70467\n3912 71008\n33214 41128\n30764 55773\n71971 98233\n2375 18212\n18570 80348\n2179 45290\n14468 68710\n7032 88608\n53759 65045\n49579 86421\n20201 24057\n35904 99142\n678 48899\n43668 96576\n55956 62782\n5879 29863\n16218 72022\n20024 93567\n12995 27257\n13284 97690\n21923 75707\n32892 36315\n16300 85318\n10990 46395\n19605 85658\n57253 89157\n6536 74393\n40608 64321\n30672 85097\n75181 91893\n63550 90390\n14446 66470\n7008 21398\n65526 68968\n26896 33558\n38376 82693\n14045 35511\n12990 89305\n3425 93326\n15820 23203\n44669 54421\n3841 70500\n15999 50463\n39514 91344\n93405 99271\n19789 34904\n25087 39529\n40826 94975\n22528 88198\n29845 33055\n13030 14206\n88692 97561\n65131 99477\n64833 91793\n66592 89246\n16363 42976\n21511 49653\n33371 95376\n6385 28802\n23090 59177\n64645 87611\n65015 96146\n50736 81964\n82837 93010\n32424 59475\n4531 95815\n58409 82130\n27820 83904\n67950 87798\n62553 78877\n18061 43155\n58568 79941\n1993 42818\n25643 85383\n62187 73273\n3471 75518\n30876 99959\n33913 68276\n164 65573\n17828 80735\n981 1967\n18591 65801\n11994 39361\n5272 43034\n29447 60065\n27426 61344\n3128 31819\n95867 99972\n40207 79858\n56249 59184\n66392 72121\n33937 79726\n85454 86327\n7855 39862\n34708 76339\n2602 42319\n57374 75430\n9291 55143\n29443 89309\n74009 89952\n39620 96186\n45534 73133\n69239 70111\n6419 89152\n64587 84659\n2217 47283\n3468 15853\n30969 32959\n12359 28223\n472 2544\n36248 97480\n30597 91511\n23784 42971\n7373 69930\n27424 76845\n57304 61288\n7382 51857\n35620 95676\n33138 54513\n57484 79647\n39497 88543\n27219 87631\n64075 95653\n60493 72279\n45507 73185\n32987 36134\n69323 88436\n32536 50056\n74304 81278\n31824 58999\n39443 49686\n50141 55152\n69866 98963\n34182 70150\n83459 85374\n33674 67760\n66710 79234\n43911 65730\n11106 92416\n10585 20270\n66228 83243\n74544 88618\n62726 69456\n54077 80505\n38088 82352\n50454 87922\n15291 28889\n8476 89616\n52861 59708\n26587 57949\n33626 63800\n13812 60924\n4283 23639\n59045 71623\n3819 34542\n40022 65804\n21474 22458\n3225 27642\n29286 42382\n40300 96996\n48291 94763\n12569 51797\n12659 24604\n34055 53052\n78334 85258\n15513 29878\n19578 67173\n4530 54995\n77995 95766\n18 88580\n20149 70206\n20811 92413\n37125 85022\n33263 74625\n12262 70209\n19339 71296\n78074 99675\n64859 92154\n1664 96857\n3574 34873\n27112 45920\n16479 93213\n16972 66012\n41992 81760\n23161 33026\n16763 34800\n21313 22737\n38118 68191\n5262 10205\n23575 67816\n7035 50988\n74919 98026\n48055 92917\n33247 37204\n79101 91943\n80289 83734\n3850 56096\n19580 84407\n59351 98720\n6409 27004\n37591 73709\n58013 72765\n34837 41323\n6038 60115\n55479 62062\n26046 41692\n66872 97444\n15879 34521\n4786 14574\n35750 60398\n35964 80009\n30469 53901\n61966 70599\n1743 57988\n69270 84974\n90469 98939\n2145 80312\n28190 96816\n15734 33766\n50096 78752\n10722 76603\n30535 90739\n33145 86287\n28018 95603\n11782 24922\n54895 57400\n8981 53899\n51465 73283\n28913 52182\n20698 51199\n1584 74011\n5290 42501\n28298 76268\n63784 85295\n50176 74218\n53831 83184\n45939 94107\n88556 88988\n35440 75562\n4545 86244\n49841 96262\n18359 65882\n69837 92128\n25981 60254\n56520 89674\n35659 66046\n3372 64925\n89439 91362\n61040 84431\n46518 95390\n36656 72299\n18452 41996\n23188 36735\n34978 41111\n21444 81463\n10422 66625\n8255 17782\n17352 80959\n32825 60654\n52302 52759\n17201 40705\n1865 13834\n67210 87403\n41933 45048\n32395 84085\n64493 76661\n1742 36747\n49649 56548\n31857 57586\n16131 26124\n751 83611\n43109 71603\n12128 94674\n41929 66318\n2155 79024\n83992 87958\n30038 72203\n18559 54266\n43070 83954\n33534 78751\n38107 88787\n23188 54196\n22221 97384\n8253 29337\n24712 52736\n65785 97543\n32663 75033\n87457 97214\n66678 84734\n19033 49770\n30146 54408\n35004 43413\n17728 85327\n12476 14318\n43590 43934\n5654 68925\n69274 99396\n37420 39597\n8234 64430\n4252 33711\n36264 67480\n38430 92655\n17018 22365\n44104 66210\n3425 93897\n34166 91222\n5766 39402\n15386 94905\n38982 97885\n43571 89464\n12846 42673\n85437 92654\n31486 95004\n6283 62540\n23737 89439\n36420 96600\n14936 40810\n23746 36277\n82380 84334\n923 13211\n38967 79890\n25583 54215\n16374 30145\n14098 26131\n85001 90155\n70680 87628\n3619 53677\n76895 80369\n40472 94358\n23824 63251\n9074 78811\n27679 44018\n43079 91712\n5094 48899\n10256 50470\n16328 51037\n22289 24052\n30133 77746\n72080 93817\n41191 76905\n15302 93110\n46456 75470\n48882 56976\n11552 43322\n80143 84161\n44485 50236\n50625 53337\n31172 60419\n47693 85635\n7708 29582\n46776 82341\n2641 40946\n23941 91995\n78366 93580\n7421 80277\n31999 77197\n59464 80226\n69696 79303\n35065 70126\n81989 95572\n29175 83003\n43456 45231\n66467 87123\n56555 89312\n35644 73257\n86296 89466\n29713 86408\n3001 81079\n67467 93586\n4585 23919\n49031 81727\n33006 45559\n2901 13643\n91995 95278\n36126 90869\n6827 63451\n56759 81597\n18308 77795\n40111 86895\n17172 46624\n53140 82874\n7160 85382\n53226 84920\n43182 82378\n16840 94340\n40856 54701\n9508 48341\n71621 77613\n21661 76610\n34231 54778\n29860 30169\n16052 62674\n7895 11689\n1931 37960\n3619 51115\n50238 82175\n65471 94357\n49220 80482\n40637 54768\n77751 83311\n70733 94617\n2569 4579\n86537 94283\n73050 88071\n38037 83529\n48425 49426\n23608 66136\n47467 59209\n30832 41912\n17078 17995\n40975 75145\n70875 85895\n18594 52248\n52087 59530\n56546 99654\n22156 94234\n733 54847\n21376 39060\n16216 63693\n37803 84849\n37619 90489\n11683 97061\n37449 52478\n2770 70910\n22065 36505\n62010 99589\n3511 83105\n50546 53502\n22157 45660\n14509 39280\n16965 58301\n27981 76662\n42936 75693\n10588 79857\n18456 48621\n24205 78679\n42749 55638\n64788 70547\n3536 78497\n37312 92752\n41622 42009\n35579 92891\n40624 72238\n42110 52811\n52849 94286\n15791 79975\n47912 69886\n1348 59160\n7261 85610\n35455 89828\n6578 70103\n66905 98766\n73634 85141\n9070 56427\n1275 50035\n88033 98431\n21728 93766\n65194 65995\n36225 43236\n10840 86289\n35654 47601\n47141 91872\n18619 64995\n38235 99549\n6303 59478\n20763 99781\n5582 98175\n27100 90747\n79329 96751\n16854 22646\n64706 79699\n7842 85259\n14715 56679\n28496 41584\n21863 45365\n35631 86784\n3214 72081\n55704 93633\n78722 89385\n41 48894\n9677 81503\n34751 78850\n438 876\n603 98510\n54677 57653\n53147 78958\n44033 99146\n57577 68883\n20283 91309\n33834 84913\n77551 85286\n3560 56472\n7983 25294\n1819 68870\n2522 74973\n24395 95534\n1137 12468\n65971 77569\n20156 32342\n8905 45799\n44182 57253\n2105 71521\n27474 40939\n17024 52943\n48599 69158\n45071 88152\n18159 62246\n28808 42914\n8318 54030\n3247 57833\n15821 79284\n33784 92463\n73288 80279\n33331 90058\n1010 84387\n21168 32466\n11234 69080\n48677 50736\n68385 71849\n8632 84383\n45853 80149\n15344 46845\n68700 97414\n59896 92720\n49715 64382\n269 63392\n27975 41947\n17368 19366\n50486 67412\n88115 99677\n64772 71215\n85064 93863\n31766 65121\n37132 71780\n59224 91739\n41409 55460\n28394 85842\n2288 10367\n41236 54567\n50805 57092\n43935 91566\n3454 49107\n62051 80137\n57142 84833\n3744 56820\n10392 54643\n34665 60130\n34929 52979\n24319 29279\n27780 27904\n32088 50274\n2660 25890\n82295 89568\n41391 45031\n78834 81605\n26750 38262\n60342 61416\n67776 78797\n47698 70861\n3899 59256\n1416 95407\n3990 44562\n66542 78087\n13534 18611\n21152 62447\n29273 62590\n64757 75241\n56849 71262\n15744 49291\n66305 96598\n31992 60745\n82782 88605\n10911 17161\n5670 74276\n5651 39146\n56486 59712\n76762 99082\n66103 71952\n49402 68597\n19377 99905\n31431 55873\n5230 43440\n2653 28942\n26680 99608\n70168 95505\n31546 92069\n9861 81602\n5658 90593\n30252 49675\n43536 82721\n57139 88980\n24125 31178\n58571 85941\n45466 93895\n36253 54249\n58427 95225\n13520 81870\n21520 99041\n3506 46580\n32555 96932\n37687 95880\n10072 59010\n36843 57343\n26699 70103\n73571 77240\n72512 92805\n20492 63738\n34448 88689\n20254 23350\n26808 87327\n51991 93686\n40082 84082\n7867 9906\n20928 54839\n9600 41894\n2550 58235\n194 67390\n73112 92914\n28712 63829\n86856 92270\n55001 99293\n8021 86310\n4093 90073\n70682 82346\n9008 91609\n22765 93934\n15380 87087\n6658 16993\n18825 77348\n20400 33645\n87130 97160\n12427 43628\n8593 97103\n16720 60135\n4935 56444\n31583 38530\n2452 13828\n13660 40961\n42247 92773\n5762 62279\n32855 81100\n29967 58469\n77369 78706\n5938 86199\n18606 34608\n38851 94623\n29078 80282\n26400 66576\n2497 62569\n30731 71785\n49195 77930\n3480 51704\n39012 98602\n232 1774\n7879 28624\n11264 95897\n50752 74007\n10840 84342\n11654 31349\n16121 86376\n27491 43869\n24299 39688\n84791 92243\n8975 67797\n18690 37830\n42640 44991\n62245 77449\n25943 85658\n29224 38068\n23011 54868\n22441 22608\n11184 52406\n53197 85020\n47692 95704\n59569 81436\n54994 87861\n28205 85708\n5756 22428\n6312 69948\n49790 56084\n12139 77598\n670 39564\n36308 62191\n25668 68566\n63937 86552\n31772 89345\n34730 66049\n22707 68524\n3338 83361\n39986 74327\n23702 95803\n95067 97693\n6732 84130\n26359 91320\n18446 57906\n20358 73096\n14699 45621\n25082 94297\n58109 76238\n41415 91280\n6746 70170\n51187 79680\n29720 37845\n19171 66919\n74122 99926\n23102 59110\n23183 59548\n11980 92835\n12415 68904\n67742 75094\n81150 86958\n22311 94342\n55878 86921\n19076 52681\n27264 45874\n11201 30004\n62532 95308\n15905 77705\n8946 68548\n24898 60425\n19274 38184\n3918 40559\n47324 77612\n1959 66898\n24949 85113\n34559 60507\n54160 59298\n13192 62064\n34789 83240\n11117 89455\n50472 68872\n52330 60396\n52444 97870\n9439 66139\n28035 43264\n23271 60835\n496 92463\n34039 94525\n71547 76241\n35310 53226\n613 40642\n2199 42855\n19393 67741\n76038 86825\n33534 69534\n5387 27143\n72018 85652\n26038 66057\n11479 35502\n77031 95299\n1917 78572\n18653 72500\n2564 21163\n64692 93719\n41986 43540\n15938 79458\n69438 82994\n50255 69499\n2214 75667\n51529 62311\n17754 21579\n13514 68101\n8657 61374\n38632 86979\n49225 83325\n260 16462\n54579 65417\n4088 20202\n27044 73602\n70404 97988\n20542 79887\n35127 35868\n33897 70852\n40284 79890\n29746 78436\n26154 85636\n17571 94300\n17893 52224\n93172 99435\n6702 77271\n27693 91456\n6143 38073\n16096 63086\n31820 68111\n38305 75962\n23612 64989\n22649 92880\n56006 83496\n7703 40545\n53702 96404\n30250 73594\n29061 68055\n13063 70691\n53049 82753\n11596 64611\n5157 35733\n41401 71975\n45637 64591\n62032 69192\n69415 87938\n58928 84467\n24818 26664\n3096 65330\n72745 95829\n79160 96947\n32240 41882\n50391 90334\n24661 43499\n85279 94700\n39431 49439\n39572 72466\n84140 89065\n16262 37933\n2830 80945\n14813 63585\n42460 63455\n84385 97193\n35709 83899\n5956 41081\n37115 43639\n53749 95852\n73002 80020\n88304 96779\n79394 96268\n17999 60406\n59734 72049\n79735 96401\n90973 97140\n38687 64308\n36943 70329\n19643 21162\n6910 92340\n40796 54195\n2051 28830\n23577 24025\n17389 62153\n29273 99080\n36922 77405\n17626 69631\n13125 38701\n39245 47673\n13444 15416\n15068 95504\n22765 53891\n7944 77999\n43428 77202\n33373 66604\n20013 30581\n25155 43688\n6692 62355\n34280 50550\n64502 87159\n37672 76819\n15152 62238\n215 77244\n36708 54666\n70985 78976\n755 14647\n25053 98428\n44126 73997\n49672 82336\n34920 77645\n54568 94349\n8449 62166\n42597 49385\n10506 36713\n41294 84245\n24185 62988\n16435 38704\n39364 57147\n32719 49044\n62436 75431\n7809 94814\n56584 86506\n23082 45817\n7037 9242\n46873 66670\n92969 99785\n15042 28438\n82686 99196\n84567 91622\n8775 42745\n37917 85478\n29882 96604\n31271 45084\n2179 29982\n53633 69374\n14928 66687\n6850 68302\n1446 42116\n21446 87086\n25112 42679\n37996 64037\n18806 42509\n52600 54590\n7661 45242\n2053 60004\n41007 43611\n18956 44679\n58355 86711\n58447 75999\n2234 19805\n54632 99237\n71643 75852\n35388 84442\n50324 79979\n72527 75298\n58232 73658\n39496 93579\n55938 87394\n21289 35134\n25040 51098\n25774 61745\n14234 71857\n28701 42687\n47552 48268\n604 3822\n13590 79086\n32458 45295\n59650 63291\n20861 55562\n33253 37692\n56353 75587\n1148 39799\n26053 48844\n388 68347\n27314 75515\n15923 81769\n50674 75917\n44803 60399\n26559 32735\n11596 46050\n19819 37725\n2540 88424\n43936 59609\n52800 57215\n3724 92952\n92337 93026\n19166 28298\n46263 84379\n7257 97160\n34391 39443\n60134 67725\n43990 60720\n16938 21200\n26024 85500\n79169 93690\n33476 39115\n21425 50606\n65388 98978\n7642 39051\n62279 66398\n9945 20935\n66299 90665\n12520 22858\n8042 51483\n41255 64485\n46847 55774\n30889 74105\n10305 20150\n5606 56396\n37707 39110\n49715 54185\n47692 64361\n874 2001\n24201 84762\n26047 88382\n50162 82050\n7942 62592\n19818 58394\n26764 30044\n55209 87673\n12695 39003\n15782 77023\n38063 87436\n35126 56256\n42370 94174\n39431 80256\n45262 83530\n23554 32505\n30658 93063\n60578 96714\n5125 68331\n20062 86128\n32835 79275\n6269 59250\n62663 65857\n46193 53091\n14339 21164\n48 47338\n2950 70731\n64449 75034\n19065 52667\n75653 99602\n10148 52653\n65362 93165\n34836 57566\n21280 38120\n38674 78776\n51450 60733\n57482 99235\n19299 79012\n57418 77173\n50516 75221\n77459 95572\n31440 52500\n50895 66027\n76217 82694\n23806 69377\n27458 46106\n78923 84247\n60087 95934\n25024 98029\n12663 21554\n8592 60206\n17563 85197\n24778 51367\n22413 94281\n39139 48561\n11887 28456\n25717 34857\n73298 78382\n3448 81850\n83743 87789\n39529 99194\n33529 39542\n69818 82535\n61988 65453\n7740 77825\n17654 50903\n51548 86266\n15406 81408\n45832 60083\n18181 22787\n16520 25006\n8293 41965\n16147 45091\n30753 76343\n802 73906\n70495 83910\n21551 31652\n28946 68988\n3452 8176\n2345 10310\n24933 99152\n48234 73267\n17893 85000\n62821 98347\n73394 91402\n22843 43146\n92012 94039\n83580 98116\n39323 75029\n18803 36668\n12531 67062\n34801 57752\n40812 48000\n60567 92441\n8897 14910\n51659 79558\n59322 69383\n28970 94117\n96250 96769\n70314 90172\n8464 54383\n19049 31088\n36162 72662\n60527 61422\n48216 76593\n29540 89292\n2232 72487\n30742 36965\n5201 74140\n18032 84286\n83094 90158\n13859 71448\n21772 29076\n18858 59856\n48742 78967\n19686 66142\n1211 20953\n2699 72423\n55172 76778\n50093 57681\n54477 98893\n74842 88851\n815 28051\n27522 36204\n69551 90881\n64012 94950\n19210 83497\n58500 98341\n4503 14331\n54407 97277\n51696 70590\n17688 30473\n21337 46204\n34849 75435\n19329 44953\n7317 77522\n9823 89089\n30050 93441\n2910 54369\n41737 85285\n4971 77102\n41205 94445\n22344 92963\n12113 79231\n40585 76714\n10638 24943\n29910 40234\n2505 70247\n35069 67092\n27589 97904\n10342 87788\n25272 38692\n1899 7864\n89688 90486\n29584 76893\n49128 58330\n20431 63586\n9532 73659\n7667 67143\n61007 82055\n9440 49634\n32113 56785\n25758 80021\n35330 51837\n19763 77061\n58554 87726\n32082 46376\n29793 60816\n73275 83139\n38606 96669\n31512 94546\n4777 10987\n7524 44864\n11483 81960\n57730 86093\n10894 62779\n61820 89118\n77097 87534\n14331 62704\n48356 75733\n22275 68503\n24622 26606\n44703 69030\n61140 71678\n19951 88929\n40027 86213\n19619 68875\n48922 56553\n8527 61228\n44054 65171\n7845 12189\n19317 60940\n46112 63491\n38150 81707\n38388 59653\n3785 23283\n27575 53255\n77096 92115\n13249 97933\n27245 33773\n24269 93420\n85015 92437\n20026 49867\n41647 94040\n46287 52604\n46314 58984\n51067 89679\n39619 68565\n68712 91460\n11283 25876\n15008 28781\n27935 35959\n47184 78380\n73574 95646\n43704 87933\n72356 88014\n55771 77662\n44708 67666\n62471 99257\n34440 53432\n31265 43642\n45904 53284\n8981 18283\n34700 91891\n43961 95021\n37248 43112\n72175 78824\n62771 69357\n87954 96755\n65934 93863\n3897 30931\n30550 56631\n38445 93686\n42773 87655\n16920 41933\n6889 99155\n76917 96055\n61601 75500\n67592 85462\n80698 87873\n45541 78086\n21049 98114\n43106 56404\n47740 97146\n44235 95842\n8798 84814\n80245 95803\n50199 56616\n74960 87697\n50140 50553\n11287 84570\n25467 55476\n23808 83075\n26888 99886\n20750 73778\n6512 21791\n68768 94658\n53749 72755\n51539 79513\n61189 68705\n24356 59165\n83011 85010\n69562 85434\n1774 32541\n25046 96465\n5991 35941\n40066 41692\n85297 97872\n21061 74081\n37727 80567\n22296 26161\n23554 30731\n29459 32253\n11564 96884\n2910 45713\n67992 98541\n3491 38210\n20788 79537\n33358 97400\n6036 79933\n5963 91028\n3160 60316\n25700 93765\n14682 19111\n19309 43293\n36971 72297\n15924 37254\n36214 91947\n33852 73694\n41229 59545\n62786 99764\n11291 96937\n11240 72036\n20851 93729\n45641 46920\n43408 58203\n94426 95185\n70949 83610\n64109 83268\n91956 98789\n26106 39967\n36322 86934\n24558 61752\n94912 96345\n40239 69766\n8627 37163\n12656 18777\n15190 78052\n27855 55910\n37913 86761\n11388 89011\n16214 25470\n23694 63588\n12986 51296\n18104 41755\n45041 81208\n31244 50942\n34392 97645\n12008 45098\n12021 12931\n26124 65209\n893 5677\n20219 52362\n686 98871\n83826 95352\n30556 40019\n5183 31977\n62439 99473\n5475 71965\n25601 91804\n27044 45529\n26361 99917\n74283 88654\n65989 66258\n53152 81686\n23307 98849\n48269 83318\n30866 84159\n28998 98754\n22343 88426\n16837 36127\n32834 97017\n43840 48340\n17918 37094\n8413 80132\n1570 2748\n31916 69920\n7501 45788\n19864 60311\n28836 82539\n83965 92820\n48629 67062\n66144 96042\n39446 45059\n1345 39645\n19844 50881\n8244 37597\n583 73355\n60379 85824\n48608 77626\n11836 38081\n9641 32773\n65058 99298\n25586 56105\n32651 66640\n7441 96266\n50966 74635\n26478 47153\n6728 51124\n36802 68606\n6904 70237\n84366 87273\n70499 81141\n28545 79945\n7417 68732\n19185 70907\n2830 76288\n32539 65608\n24402 57281\n74025 84663\n27516 95411\n52888 78889\n92177 99802\n33773 59833\n38888 80397\n7977 35588\n28929 91737\n15275 69967\n32022 91790\n34657 60194\n40911 70424\n43339 74491\n74594 75527\n18260 73079\n47204 93703\n32237 68944\n58227 73328\n57717 95522\n75181 82552\n77750 99551\n46481 62560\n17308 91595\n22096 25985\n71566 83294\n27806 58788\n10400 83993\n31718 78303\n20162 54801\n7243 88750\n37122 68940\n50951 52438\n70310 92571\n64572 70749\n14597 72679\n33809 67264\n20592 52757\n14345 55080\n11032 30180\n44081 84988\n9646 75941\n5531 98910\n7559 80461\n64781 85257\n77548 83366\n27914 45126\n34971 67813\n24562 58769\n28898 65842\n19545 99584\n5542 73752\n11192 40697\n13989 77025\n665 54106\n2145 58207\n79610 90067\n36220 87993\n31536 97199\n51305 81490\n84276 99467\n13942 29015\n59150 83001\n85867 88179\n59555 64807\n9596 41219\n79003 89954\n33156 76770\n28424 56989\n22832 83790\n88436 99280\n32561 43674\n22633 94658\n7001 46393\n4499 11006\n57531 71832\n27575 95711\n45859 54202\n34354 66273\n755 18384\n35280 69228\n79579 81826\n53378 81044\n17063 85314\n54334 92593\n39188 79587\n43343 75215\n5850 55309\n16791 29127\n62867 78510\n7481 11160\n15265 42887\n10017 38396\n14621 90510\n42207 99332\n52150 58638\n14034 59403\n54329 65320\n22842 29766\n57796 73320\n22070 34912\n10679 27390\n22880 73114\n26350 60879\n70916 92201\n33901 59434\n13277 93013\n27108 92819\n82296 97907\n8884 47083\n48676 98483\n47132 97584\n8004 40586\n7709 60980\n8525 13208\n68634 82334\n28649 79097\n20723 88017\n20359 36416\n37119 73372\n46729 77690\n32533 64943\n51208 81831\n31950 61489\n50420 87329\n81550 89599\n43465 65275\n61651 94699\n34621 80397\n8986 90575\n33936 71198\n78631 98566\n42894 70819\n37932 98154\n46763 90899\n63348 68987\n65676 97814\n27104 89766\n7682 56599\n24293 94857\n579 41802\n959 15426\n41252 68440\n52159 58293\n62683 64825\n74941 76645\n28494 30267\n21503 28335\n32273 75683\n46078 51121\n8408 32924\n17099 19780\n32624 97881\n18184 91340\n4782 18500\n4443 29498\n39250 99089\n50629 61005\n63014 76537\n21968 44792\n3092 19779\n54152 57343\n22233 38028\n4697 58581\n777 21683\n7548 63568\n62765 68978\n88505 95298\n75035 76250\n43045 45874\n37471 74123\n64287 76589\n37891 53598\n50417 86727\n12057 81844\n12459 53755\n1394 76722\n7893 17132\n92398 94022\n65836 72632\n86401 87536\n56348 60817\n89695 98310\n23725 25594\n51463 82025\n29364 85763\n59429 90892\n64993 79033\n52685 61153\n33802 38327\n62734 86290\n6001 66880\n21072 47680\n22693 71513\n76117 96223\n49929 73220\n65711 87054\n66199 85674\n16595 55975\n14264 72668\n47716 80108\n3656 33574\n22726 30382\n71273 97147\n85109 93404\n13437 36985\n238 72966\n71829 84111\n5326 10763\n39765 83405\n25902 93578\n59264 67656\n28276 64888\n64198 92157\n6072 62558\n29063 31359\n33028 74602\n23754 78240\n78914 90809\n17204 73253\n54989 72968\n27917 55406\n53088 60643\n3827 28056\n27177 99242\n26416 30507\n27995 42439\n20047 21746\n68499 80153\n86890 96486\n4542 7991\n14771 62639\n34764 37084\n423 93956\n15373 28106\n254 8215\n51760 67028\n41983 59869\n30977 80471\n25011 54138\n10608 60946\n90595 97308\n84220 93244\n12121 61576\n61594 90891\n5757 94405\n56108 86945\n3240 54242\n1758 53288\n29461 33344\n2786 75299\n32062 60243\n14938 96802\n50615 82999\n40100 83604\n51088 95766\n4695 46306\n2330 83391\n49208 74411\n9363 19069\n52527 94098\n71694 82793\n7214 20780\n83561 85819\n8472 51196\n29831 63962\n90197 95448\n12671 19871\n79412 98747\n84273 84468\n51633 58833\n22599 60463\n38591 63796\n13986 18101\n3989 86120\n1086 74132\n22118 58724\n76579 85254\n18252 84945\n16597 52041\n8372 20551\n73240 98423\n40837 78844\n25321 46692\n10572 37365\n8487 34929\n46388 46696\n5417 93131\n40965 74705\n8162 16293\n5076 75385\n5492 39329\n30137 53514\n31891 90606\n2450 16165\n49969 75497\n44921 82199\n70243 99388\n7943 43847\n29430 34726\n67048 67061\n11603 57330\n8666 89461\n62970 90182\n17651 76537\n81774 92793\n1187 58300\n2880 33162\n63153 79951\n64562 84960\n17324 48427\n7993 49744\n36897 75797\n4396 47535\n42886 97846\n55557 81696\n16361 92520\n83467 98554\n3338 37447\n7862 76707\n10786 83652\n63824 64979\n23961 26709\n67635 84649\n8408 37258\n26717 52503\n87389 94248\n4828 29672\n1769 50533\n15630 63173\n1899 49504\n1816 85121\n27683 77353\n17958 87893\n63240 72493\n75954 96485\n34642 36536\n22909 78263\n16933 20986\n11715 69302\n27646 35583\n76654 91294\n58991 61973\n46114 74146\n37283 74813\n45978 76736\n44732 60537\n35610 92553\n22764 53116\n26821 48811\n18494 52798\n44587 70135\n53581 89590\n29941 94967\n2143 17509\n63939 71856\n22209 44946\n14947 99436\n17139 56301\n16334 16678\n71189 85819\n23415 30621\n5657 42311\n77287 85493\n31663 41887\n758 61405\n31500 69695\n57892 81590\n41564 43047\n58421 80775\n44642 79011\n2031 21833\n3565 34011\n28195 85908\n29335 96998\n98 9372\n33386 37249\n27867 48033\n51742 77606\n772 13917\n227 66456\n20815 84382\n8253 32299\n4175 86524\n45308 84791\n65117 90180\n66313 69659\n19545 84908\n62110 95720\n11002 15751\n36668 51092\n28643 84923\n44712 96787\n55973 75239\n355 75838\n60186 96733\n7659 19677\n62823 82592\n58154 83634\n42069 49294\n45011 54389\n37295 47379\n46033 82923\n23006 42969\n2553 31782\n39332 82272\n54868 76137\n6747 88576\n36496 84949\n36534 70365\n57045 67950\n12596 78735\n46481 81297\n24087 24422\n12113 35295\n3623 22841\n12208 78810\n52219 65735\n39733 42424\n60583 90467\n3767 26947\n59074 72877\n62123 78954\n21737 88933\n71916 95746\n9507 24947\n45656 90246\n28107 37823\n41174 62869\n19468 33895\n18227 88712\n11812 50660\n43160 76855\n11857 65417\n322 17326\n61910 76418\n17236 59445\n68408 79407\n20569 91912\n84194 99989\n1934 83478\n75682 86399\n36909 48181\n68653 82804\n79621 79923\n42194 66816\n18035 80489\n27724 88138\n87326 97132\n26086 56314\n22091 33690\n53648 59108\n8428 52585\n38789 87748\n50892 74256\n17610 72238\n62429 95634\n72598 83560\n27396 98785\n63209 80078\n19971 45919\n45387 96888\n45610 46489\n35297 62391\n21102 63059\n35956 42328\n74895 88479\n48770 85508\n7371 89599\n47412 58729\n1724 2350\n27946 33603\n10875 61162\n37420 53355\n56252 70449\n52744 90105\n18384 86400\n40369 67667\n43136 54205\n66172 76789\n8945 98063\n1880 81185\n30367 48987\n69125 78354\n37229 85435\n35552 80070\n44840 48903\n3233 95039\n58807 72952\n60303 76704\n1130 91425\n11764 39868\n9921 99822\n8070 65961\n51083 81416\n18877 63402\n34580 78443\n54847 58684\n12342 15279\n23670 38733\n6141 34661\n29301 44045\n25072 55390\n75070 88497\n30054 68761\n16314 60773\n64553 65503\n53531 83248\n7406 47352\n32088 41900\n30086 37079\n24090 76409\n37940 52414\n11263 38694\n4891 70436\n14144 17018\n15126 66982\n8012 90105\n4368 75475\n8232 96352\n12583 93813\n36311 94561\n55333 99104\n16670 28323\n45740 78961\n30560 35641\n6068 42752\n2741 61394\n19383 47646\n74400 99978\n41643 94156\n9299 16376\n3453 9210\n23671 88673\n6548 39426\n35585 98865\n26671 65618\n54014 81526\n7145 75649\n17158 83386\n28399 74589\n92309 96462\n2772 78153\n24512 97147\n28175 46149\n16647 87998\n79032 81012\n8605 39793\n20691 84306\n51214 88866\n17956 75809\n21772 60359\n22997 37275\n18642 41180\n15626 94750\n31011 58601\n84870 89724\n23763 59965\n42524 93806\n57507 65285\n9631 99541\n29349 75267\n42063 96154\n1576 20226\n14386 34505\n15149 31867\n9152 16116\n31954 95418\n73641 82022\n43176 45677\n52162 57057\n2473 99712\n32751 77887\n8327 11763\n36458 78263\n19435 98441\n49557 76153\n17757 74559\n65753 88017\n48220 59711\n11170 20325\n50473 83310\n37823 40863\n72284 92593\n27659 88895\n2087 39124\n8038 76803\n14129 63983\n7361 40782\n8925 15327\n42406 55048\n21618 27382\n29573 92045\n58650 76107\n11624 44838\n16047 69030\n40416 40534\n896 71374\n43318 81312\n19190 20769\n24888 98397\n4082 48203\n57163 59086\n15559 72907\n52153 77451\n41059 75222\n26578 47002\n190 36876\n12258 89257\n20938 46170\n13419 93855\n31930 79767\n57521 98822\n11327 93012\n80940 84823\n14777 18335\n18206 77610\n49393 84074\n11868 89791\n35958 53508\n36585 71329\n39587 64620\n12163 29651\n28919 59127\n1669 59460\n22964 96602\n14472 64482\n69439 94302\n31477 85930\n26949 53008\n49523 99149\n5453 88343\n5011 47071\n21478 89053\n51378 96924\n52064 78246\n2114 92776\n3165 83681\n47803 66065\n37754 75439\n37204 71541\n40649 70691\n8832 39872\n22712 48972\n81978 85898\n5766 86307\n20587 57670\n17659 70715\n71990 77274\n43773 97912\n16948 33392\n41147 92149\n49207 49503\n18265 58974\n9962 53817\n54379 87401\n222 31680\n71197 85871\n66882 92667\n39659 89734\n80632 89677\n48428 94748\n45950 48722\n28619 99718\n37891 81015\n12117 19155\n18933 48617\n72338 99513\n36441 86105\n42317 79760\n1824 46747\n31453 76568\n536 15551\n18458 86218\n21149 87819\n3663 91215\n68136 81488\n50259 98329\n12082 25749\n54816 59353\n12520 75164\n43026 73940\n44 21094\n56209 98171\n46423 64387\n29906 50864\n31886 47908\n26251 78182\n10361 35825\n8238 50812\n20319 38073\n10157 42860\n17110 23913\n36420 80578\n29198 66031\n69329 95886\n35385 36462\n12831 20817\n12938 83501\n54260 86859\n21068 74451\n40392 44214\n32190 86736\n49869 87480\n48082 73484\n64920 93081\n77288 94750\n4664 63365\n55351 65169\n32562 55177\n9675 48267\n9805 26476\n17304 59449\n9565 86899\n18676 25915\n61259 96810\n71158 98089\n10909 35022\n19453 69527\n13905 68524\n343 19404\n37987 97053\n32391 88790\n36670 64560\n17790 70371\n39241 39405\n1271 90135\n30697 87561\n64069 87875\n28056 28403\n69700 91966\n49108 59083\n57605 96088\n48484 78325\n18786 59637\n13009 17480\n3482 75446\n21780 64451\n26141 70000\n4869 14452\n80045 86207\n23295 72122\n5325 62504\n61355 92723\n10101 77307\n12413 54201\n5225 61382\n86179 89226\n56347 93613\n1995 58360\n20501 86073\n25170 64109\n5844 11001\n70856 90024\n5152 71295\n59152 73799\n49243 79995\n57027 61838\n25550 89011\n55871 66141\n35047 91438\n44629 84054\n31159 41767\n37999 60789\n44586 93196\n27101 67439\n40884 67544\n48648 55475\n15363 82842\n22566 95948\n24765 55415\n7205 63090\n3200 27272\n36289 65164\n65665 67264\n16744 56608\n22756 82192\n36338 71192\n19637 33585\n45496 87318\n63762 96990\n41653 51602\n21438 72525\n63947 85835\n25342 37969\n194 82089\n32687 55762\n60335 85747\n29866 55429\n14659 95081\n12071 88330\n51134 65537\n40 72698\n48586 51595\n26544 94816\n29425 30949\n86386 87823\n83601 94745\n15044 39123\n14308 72051\n18964 54048\n16575 69763\n39367 78716\n16747 72519\n39234 49986\n57294 58053\n15733 44275\n34754 86762\n56157 70111\n24031 78809\n45416 46577\n15929 31503\n30345 46016\n43021 82718\n31315 39023\n18462 90688\n48359 68583\n13956 58776\n13485 84469\n11810 78791\n41350 64734\n15821 74967\n79729 97271\n3178 44117\n49714 57057\n32134 39308\n56075 59036\n55574 80496\n6578 74604\n24623 97207\n53053 87043\n60583 75500\n26659 98410\n89770 96467\n89833 95632\n50951 98472\n33562 54128\n49601 90302\n17234 60696\n38873 41502\n67041 68001\n38060 50934\n38365 99656\n3048 64174\n10050 42424\n11012 64832\n9659 50370\n55484 96286\n74789 77544\n1797 32228\n12046 72096\n24574 35496\n25284 79736\n7355 46508\n80681 90298\n7601 63495\n33100 71835\n74208 98864\n74984 92177\n22787 62621\n19460 48980\n67057 69136\n56223 60687\n1875 91846\n4564 96653\n44277 91033\n18979 53266\n39031 92838\n57277 57538\n2346 37767\n9106 65447\n60031 79185\n46249 66488\n1413 48255\n84031 88649\n3818 35081\n77813 79906\n2391 60858\n2933 61322\n15254 29884\n54526 91842\n18455 37300\n62806 65242\n59642 93072\n59036 71980\n57200 57779\n65815 71065\n25839 37147\n70023 78538\n66858 90163\n25360 30502\n57102 79552\n91820 95367\n20520 23895\n871 55144\n32162 96103\n42238 54854\n24239 43726\n33827 62802\n7397 40954\n70078 87171\n28091 91729\n8903 51312\n25413 80054\n7487 10945\n11721 72799\n243 41104\n13826 63840\n63972 66293\n2779 15131\n62508 94768\n19967 61417\n11120 72853\n14682 20583\n12958 69238\n80987 88879\n5674 40139\n26055 33849\n19648 42901\n28483 39344\n79434 89082\n56778 95228\n66323 71784\n5025 14763\n43990 80124\n38869 95720\n84490 89206\n2806 59636\n30933 86249\n53906 58802\n77465 79648\n8470 78990\n61402 90170\n60840 65016\n41095 47905\n1687 14695\n10072 78214\n32690 92426\n40648 90819\n68835 87522\n8426 29804\n35515 51938\n27238 57259\n78157 92640\n30838 42058\n27038 36823\n71072 73392\n50445 66027\n32840 91116\n48464 86174\n10278 80260\n72856 85020\n49985 86142\n17014 99946\n9559 91027\n5372 54532\n70098 72509\n5002 72203\n75245 86846\n20889 76456\n36905 63238\n37240 61706\n82670 96006\n13438 35327\n20111 97639\n29531 58400\n113 15763\n62537 66714\n1565 43289\n6374 70333\n39627 64875\n14935 87745\n47426 55764\n28545 83280\n2034 99638\n44448 63389\n22994 87876\n3247 41140\n37164 81939\n8958 37459\n72316 89471\n20120 57428\n38693 57614\n30819 76755\n36657 93799\n80017 84129\n19950 96262\n36839 98832\n31590 43090\n8022 67952\n16920 76797\n54165 85032\n49031 61789\n40479 89444\n43556 56896\n54286 89804\n19482 43764\n3777 87479\n719 12124\n9669 72752\n1349 90002\n77023 81161\n14221 35475\n7735 14226\n29331 47608\n21206 78082\n45141 72749\n8760 73982\n65649 74064\n30660 46973\n52963 77745\n17162 32133\n7534 51977\n1885 55884\n19982 64297\n46906 85709\n20512 53339\n42711 44559\n14917 75278\n31580 42411\n40524 48676\n15906 98478\n70575 73387\n66246 81235\n13174 28662\n32475 97168\n21853 93265\n32324 76749\n13290 74906\n16135 30985\n11372 32493\n10446 71767\n38531 85280\n17946 44493\n48385 94269\n43251 51389\n3911 75679\n1683 23048\n60665 90032\n59208 61347\n2308 86157\n35081 60178\n22680 46413\n81591 94457\n3432 7095\n36207 96961\n92236 95507\n98787 98848\n47533 57490\n66227 85921\n31764 71558\n18 235\n35908 67488\n46141 47085\n6664 26029\n68794 72162\n87115 92588\n27965 64079\n748 47725\n40700 77438\n71287 87507\n76356 94703\n42178 83949\n13974 35796\n11627 45595\n94495 94787\n96212 98713\n18325 88150\n17298 66978\n1566 72481\n80450 81991\n59702 71177\n65968 83845\n25671 84270\n71901 91397\n30805 59242\n25343 60398\n7224 9924\n1050 70047\n19577 44370\n53214 97990\n17547 53552\n43461 64169\n33098 78494\n90 33858\n18397 31683\n945 38599\n20741 45103\n51662 91191\n31 24484\n15612 62448\n14792 81105\n49342 75675\n67352 98341\n47862 73399\n89890 94430\n29674 70135\n20604 78308\n59014 80271\n5752 46674\n70162 99258\n3902 6087\n81465 87328\n70170 87094\n75206 86199\n36441 55461\n7977 64009\n75765 93718\n55558 95621\n8574 67071\n16935 28526\n26735 70464\n61655 92182\n16308 47748\n46002 77146\n9706 64626\n46291 85827\n7206 84485\n60096 95386\n1587 12441\n71918 88226\n3849 89378\n88569 89170\n17949 93395\n54201 58681\n78621 91524\n23529 78177\n91828 99424\n42348 89327\n2218 20394\n18772 90266\n29665 64648\n42301 66097\n50729 78007\n3839 12728\n3434 22796\n40927 56067\n16279 86118\n51370 98063\n21921 66239\n76389 86828\n51663 81787\n62996 78544\n88383 94770\n43509 89338\n15765 58869\n31132 87508\n4073 91811\n6553 50942\n15949 19239\n39493 86070\n26768 96691\n943 24633\n66372 73160\n38459 44829\n5217 19892\n36669 55499\n52328 84269\n41764 82317\n8797 14397\n50956 92653\n27319 55704\n1436 43556\n355 61698\n55793 66868\n42064 68349\n68507 80013\n12272 38895\n62560 62661\n15273 58170\n38391 54407\n44439 52337\n43933 45987\n47149 59614\n1154 6672\n75595 84079\n7520 10516\n28145 61210\n26521 89051\n67017 98973\n34316 84795\n48248 58647\n87873 99606\n59970 73401\n38178 51193\n2720 15655\n876 19920\n58395 81781\n37815 55189\n2433 48222\n67226 83925\n15777 94010\n35975 62480\n20532 22245\n66694 89944\n39236 67096\n14913 30195\n2046 15643\n8706 14462\n10970 81694\n2567 65042\n17565 94051\n27979 67418\n35407 76793\n33114 50868\n32878 48706\n77933 85064\n85392 99186\n54838 99744\n48824 55822\n12673 49742\n39780 99460\n69981 95957\n27517 76677\n59829 63919\n26370 44332\n85465 98299\n5887 26323\n14634 50087\n23280 99306\n19377 24214\n34038 75025\n38811 86128\n58654 60850\n8626 16919\n58925 64358\n44165 79769\n2910 42527\n59493 81329\n29284 80691\n6531 76071\n16100 17441\n34197 47709\n38347 45349\n42357 77959\n9304 57895\n56488 94350\n64193 79979\n52775 75142\n5399 89424\n23450 55825\n31341 97296\n18198 50598\n72778 78072\n65406 84452\n15840 71434\n21616 68446\n22755 83692\n26316 39511\n29839 94251\n29644 87118\n21373 72153\n54700 55596\n4876 61105\n66654 98041\n37963 89936\n18761 57181\n77470 88704\n19875 53521\n10538 65478\n42319 72603\n10513 25690\n33476 43019\n27572 40802\n27023 73715\n21637 29423\n59887 62301\n77913 83319\n20043 62945\n2501 5000\n40110 76272\n36825 73331\n39888 77184\n63661 90205\n36255 88820\n59502 84775\n60195 82954\n8006 8955\n69145 99275\n3405 10255\n21529 81489\n19692 42262\n75357 76805\n68880 99478\n11921 71050\n21076 73766\n94061 96565\n30800 96519\n50926 78508\n77152 95878\n14123 63621\n54857 74125\n28536 76604\n46588 86739\n2191 98549\n77819 89479\n62362 90054\n28179 32452\n9294 36232\n34295 98609\n32778 58607\n62574 66983\n53972 59302\n15850 50235\n18362 39518\n6137 67852\n6281 87128\n41023 74730\n36054 94596\n3619 22960\n3149 32284\n13372 17471\n30888 66684\n32667 75084\n74878 90662\n36651 41299\n3231 65779\n58800 62747\n52226 88787\n13888 70787\n50755 80683\n41824 83490\n38266 39334\n34021 62065\n22617 35381\n24217 87039\n2952 56974\n30138 91002\n67746 99872\n49825 65382\n39108 78885\n20325 21880\n74574 78647\n14771 61197\n22975 84217\n45877 96705\n34248 42433\n4733 8862\n3217 28206\n72851 98530\n6600 59514\n3547 35465\n11052 36056\n17399 82809\n56174 70139\n11205 28055\n12372 99176\n27160 70596\n30428 51453\n5715 33256\n24291 83663\n18551 70854\n97642 99550\n16026 67180\n62147 79565\n62852 95426\n16254 69550\n47662 66974\n63288 80345\n55370 71804\n14308 39753\n30451 36825\n20548 79126\n21782 53016\n26559 27672\n37611 51246\n86644 91828\n28796 36044\n7925 69643\n8211 31014\n68730 70984\n49170 83421\n38609 51391\n49747 75632\n11956 44690\n49619 66517\n9431 29388\n32515 97667\n21508 36777\n86523 86665\n40319 75835\n16034 29777\n1453 49942\n33530 45847\n87677 97385\n27752 69595\n37089 50085\n41038 77945\n63834 91803\n61704 97619\n66436 82118\n5563 22154\n47075 82583\n41480 83054\n26759 70842\n8848 61840\n23852 97819\n64848 80232\n19112 59369\n29960 98600\n34295 35830\n15819 78355\n71310 74138\n48339 63795\n14014 90373\n1673 55878\n71124 74609\n11301 27602\n36149 50865\n84117 86230\n52965 61766\n15215 39435\n64306 96550\n60310 73866\n46541 77432\n7994 94953\n74686 81517\n39220 59205\n29443 83511\n18387 91189\n39832 97246\n37660 95799\n20885 75024\n66662 77920\n33958 40469\n15414 92992\n49459 91406\n52999 60842\n76061 89330\n7999 93184\n18495 92300\n27266 84071\n64438 69883\n32438 43773\n54740 92579\n3132 59770\n17608 52133\n44137 55325\n55624 75012\n65213 82082\n36747 78907\n3990 57366\n51710 94378\n16403 96640\n20418 72313\n31252 32744\n60213 62951\n44829 55414\n70603 84765\n61108 69145\n5354 39349\n40912 73732\n429 37976\n54126 77010\n83876 88999\n42279 76670\n47912 56858\n24741 91886\n20842 30217\n36506 63926\n35629 87961\n50729 94653\n9642 64626\n11486 50025\n23647 71947\n525 43892\n35600 76719\n35896 90289\n11993 66249\n45404 63934\n51387 81369\n29069 30026\n20326 93329\n24111 89282\n20894 63783\n6561 90315\n16495 88276\n51558 75394\n80 70032\n10595 53972\n10560 44322\n89577 93135\n14119 32821\n50298 82887\n4006 29725\n69566 76602\n16807 86724\n20952 75247\n75409 85422\n17083 23341\n40494 94422\n9863 76943\n2554 68333\n30507 94457\n8229 18719\n63570 72364\n24596 80399\n34986 89861\n972 17915\n47448 63530\n12437 16140\n40540 80856\n29307 67428\n2164 35946\n4483 68109\n48732 91824\n6370 98972\n88361 92348\n46074 76017\n46823 52509\n76183 86248\n19715 74561\n32650 53424\n18676 50335\n42348 88525\n27189 64695\n44810 51307\n14161 21209\n30861 96971\n77437 99805\n89039 95201\n31698 33368\n39260 50375\n29640 62432\n41697 89269\n61247 63540\n67509 76142\n35708 48260\n24920 57186\n30282 97187\n51519 88615\n13146 27160\n59315 62800\n9176 85404\n25412 67085\n14543 37602\n93832 96608\n3022 59386\n18916 68656\n5494 30634\n40529 59879\n9256 56359\n9626 17052\n39696 45656\n69743 94115\n2368 33066\n7344 35126\n22222 52486\n56163 69181\n13412 16645\n1528 69199\n66969 71566\n46587 65920\n32631 40121\n76455 83727\n13922 40598\n3484 50189\n12237 89882\n72284 93142\n36380 94518\n6398 17801\n68609 94238\n53224 92542\n4844 43734\n7025 19339\n20520 43455\n40447 82838\n67451 81780\n1235 49709\n35738 38424\n17606 58965\n52566 61335\n68578 74277\n33743 69732\n20665 47687\n28765 40957\n63620 90870\n19061 29688\n12658 62439\n26125 85348\n11650 73857\n20519 71646\n57356 60111\n15908 99899\n48108 85191\n30214 37384\n48957 64591\n15223 28265\n18941 67179\n27674 44668\n76998 80431\n47615 59334\n67532 91285\n14633 63439\n12244 86992\n15723 94838\n3672 88172\n58717 73314\n37719 88770\n73851 84669\n37317 72665\n65812 72301\n16713 17594\n14210 93678\n15170 55146\n41620 56132\n67291 97290\n28395 98478\n26687 91473\n22971 48899\n14567 78781\n20053 29680\n4263 61266\n60390 75901\n2879 32324\n88202 91476\n5750 90238\n18895 83538\n55794 68209\n58301 78160\n65825 81377\n80719 84951\n73456 89301\n38837 83790\n36302 62471\n1065 46926\n14181 36568\n49353 51030\n37515 41782\n32382 83277\n4498 22312\n58221 66761\n16761 47206\n10812 28074\n39102 81606\n12092 17264\n8503 55455\n46814 67907\n11241 77307\n14717 61584\n6849 52266\n25481 28061\n34160 92046\n90937 91045\n10892 86899\n67338 71899\n401 96353\n55711 86609\n23906 39935\n82304 94088\n82920 99905\n37831 96950\n13473 24608\n4976 21454\n16648 31447\n10701 93130\n80054 99867\n325 90896\n34958 88456\n44696 98205\n24373 63126\n2897 73333\n3757 95527\n4331 48691\n61262 96284\n10138 18384\n26156 90707\n10364 42708\n21397 90029\n37748 53237\n34472 47027\n19170 75057\n18187 20616\n55840 88817\n38708 72945\n38721 42189\n522 16629\n1688 5790\n31819 75631\n49878 63746\n54172 89944\n7107 68364\n26597 48626\n67961 83881\n18328 63325\n79168 91733\n7848 85849\n26712 51485\n67605 75894\n42874 73993\n21449 94706\n95871 99343\n17503 57022\n8192 74344\n38538 70863\n41680 69403\n33714 52367\n19773 63937\n2840 3581\n43782 98905\n22458 81270\n62984 82705\n58597 91019\n51356 99706\n55268 91584\n48727 80051\n21794 29620\n55026 60235\n24533 46220\n81979 84902\n38821 48098\n68873 83716\n26035 66292\n76599 93751\n8699 12092\n51616 90149\n15431 90838\n45920 48144\n30510 70743\n18168 99477\n3372 35280\n62253 91645\n33831 46701\n55996 99895\n38141 63269\n14613 48780\n12824 16055\n36572 94368\n53246 91209\n65778 68123\n33774 57839\n6822 31072\n19294 47603\n37498 67703\n27776 63206\n19784 69521\n13981 15548\n29087 33367\n21857 84076\n54433 56128\n17229 68143\n1336 54850\n48493 53011\n10752 83434\n22806 93550\n1195 46037\n70952 77205\n34113 47131\n3245 77079\n24762 63013\n2460 64147\n35494 39956\n48188 57044\n35067 52510\n33675 85486\n15566 81540\n4192 47876\n12713 50614\n35721 91343\n71851 95360\n5068 58593\n33774 53447\n56014 60637\n20545 88846\n25563 28933\n67200 82957\n54830 82963\n40315 84836\n20110 38546\n38995 59687\n55580 86895\n77991 96534\n76268 76545\n20854 46431\n24819 39309\n7382 68740\n16513 28793\n37512 62623\n15909 35956\n6832 54566\n53820 96395\n53266 80431\n16469 89809\n19752 29134\n71130 75945\n48063 58080\n22821 25990\n81369 96680\n55336 98723\n10275 99677\n24792 46144\n21004 90863\n42532 57840\n4332 18891\n80974 81999\n51144 68468\n32177 56765\n13869 17470\n33362 82799\n35178 57463\n44279 90021\n33587 52969\n19881 76591\n78397 90211\n24923 30667\n432 18999\n9496 74124\n38215 87816\n69811 81855\n23813 88197\n39757 71141\n15393 75064\n19516 33618\n13238 41920\n32422 56968\n3452 35415\n5317 27471\n22739 65789\n32200 97987\n28995 33138\n11454 57318\n38896 97932\n64856 89013\n56128 88883\n15909 59908\n27860 46601\n52151 83144\n704 90104\n9413 68870\n18107 24857\n4527 69255\n35626 58443\n9704 85303\n11271 51371\n42350 98097\n19518 86286\n48582 67417\n18926 62943\n28920 69881\n11903 62533\n4272 28343\n61920 88546\n54630 78500\n5753 91919\n89229 95207\n8015 62651\n10963 75627\n76607 99903\n29856 74515\n84901 92811\n27543 55231\n25260 54907\n18358 54550\n31970 86342\n52100 90036\n7698 31191\n32451 62581\n16441 85289\n52908 71013\n10527 59474\n3063 47064\n15703 75430\n21310 41307\n87739 95820\n14234 41790\n81768 98380\n15912 21633\n16575 94056\n69550 71960\n49587 76414\n58740 81688\n5237 98291\n56871 83630\n74749 81310\n40806 51185\n51066 63572\n44358 95187\n5669 89376\n7201 77912\n2960 15249\n62379 88984\n24999 65060\n11543 42903\n74578 95182\n91110 94046\n34497 59268\n10451 54789\n62766 92225\n58079 91712\n24469 24477\n41187 95826\n3149 96877\n17655 44707\n45170 80852\n51250 74786\n67546 72067\n11087 77665\n48820 76468\n46105 52300\n70654 82285\n45397 97589\n17254 83659\n79958 84151\n41586 99477\n56574 76826\n55781 65205\n25638 27862\n69594 72011\n17943 54704\n4677 58556\n37652 73758\n15166 65992\n45572 71357\n7565 42239\n16212 59086\n22807 90255\n13672 29960\n63495 71165\n51844 59297\n32076 68845\n26576 37117\n36287 81473\n93856 96897\n28145 69158\n9627 53152\n49318 50210\n14228 85814\n45869 87475\n5437 26212\n27811 28281\n57519 91198\n8580 90785\n50916 80925\n37247 70799\n63558 84047\n12026 37341\n47168 98405\n69126 92216\n25857 46700\n15924 95096\n7528 61586\n53565 74443\n30905 49363\n63910 91218\n21007 51323\n57213 75235\n14433 37961\n16521 38239\n18122 67656\n10917 17317\n47579 66311\n23146 50515\n10016 35801\n9838 56035\n63318 82329\n13300 27089\n1178 36523\n29213 59807\n81552 85106\n46814 67751\n41149 71031\n16567 86309\n7147 25741\n24868 73872\n7592 15882\n93206 94335\n32821 51418\n59797 70822\n1357 17599\n50361 83399\n46711 99185\n61769 82089\n60820 72294\n4039 68932\n46408 67628\n36324 42453\n2491 84092\n23985 95606\n15828 90546\n67433 87583\n6243 33014\n7169 8230\n20890 31467\n29058 61119\n12220 87359\n13515 64376\n26721 59185\n50837 57435\n7701 72132\n59401 65065\n3295 15479\n8515 23706\n10194 17390\n1738 56887\n80161 98069\n32614 56056\n16934 21856\n9331 55889\n54674 98236\n19487 81200\n12332 12392\n61520 86051\n8380 54238\n17879 54491\n6990 8849\n12368 38180\n74326 90866\n10243 50378\n39556 50950\n2719 99267\n3178 31878\n66717 95776\n37728 96216\n36675 47671\n93703 95925\n23690 63442\n25303 90344\n2013 49978\n66488 99035\n31696 92428\n23427 56471\n32130 41783\n43154 70565\n19712 27945\n77522 89952\n22785 49875\n25142 97947\n69803 91943\n93653 94574\n48906 80637\n15069 97778\n68366 86970\n40440 46001\n69051 85435\n9698 55820\n64163 79581\n58335 66113\n497 14334\n26845 68068\n50817 83987\n5992 31468\n64304 90160\n54788 61934\n22762 59079\n31839 53813\n1946 41887\n12661 42607\n31003 93998\n19369 46865\n51278 82387\n17964 26099\n7285 10079\n70687 92140\n5577 31693\n2687 41110\n26581 46343\n28263 85588\n9001 32109\n37170 80306\n20807 57402\n39936 62900\n45744 62091\n53591 96040\n12436 16384\n23610 53456\n4189 11812\n17241 17426\n54259 57060\n68073 97122\n10083 43382\n218 76820\n47520 91094\n343 9822\n66613 90822\n34058 70990\n58781 73850\n489 41428\n7027 27472\n54105 82232\n11480 59892\n4798 81100\n49288 90420\n33272 44688\n3022 45359\n14640 26044\n30498 94958\n58879 82807\n35938 39565\n2540 42499\n18873 59291\n3069 35188\n53907 74070\n92298 99865\n10053 59831\n1099 80430\n14446 15910\n27679 67976\n21997 58160\n10152 20004\n39202 66958\n39206 52289\n57856 71127\n16537 88406\n29700 44206\n6148 47551\n3546 67386\n25165 41801\n28246 54424\n43336 75066\n1525 9882\n30920 45687\n53324 97787\n65223 74993\n48636 50599\n7527 13940\n33612 62777\n23193 81964\n69590 83566\n7000 35503\n7231 8991\n30512 53042\n18856 98640\n58452 84442\n3245 51201\n26863 89289\n32971 71620\n3796 40889\n34938 42612\n57290 86051\n5350 44272\n8815 34972\n48810 99144\n21240 38485\n12703 73548\n44840 67866\n42106 45430\n23085 30553\n19940 30598\n2043 38577\n35289 51532\n41724 65557\n10204 10716\n45584 71496\n9266 36292\n21834 80189\n90261 92110\n24117 43952\n9141 61982\n34444 48564\n1498 4661\n61013 75654\n71265 88443\n26673 97404\n63840 93740\n17228 82260\n87672 95850\n39243 49265\n21137 88290\n25154 60848\n50011 69537\n35609 50463\n30157 87426\n50535 70768\n20716 49307\n35227 38818\n1232 46446\n8418 90087\n43714 52119\n51972 88205\n39736 81229\n22497 97151\n42706 73182\n37694 97878\n2270 61292\n62231 89267\n60403 69007\n45172 60265\n13873 21864\n49063 99982\n25588 74134\n43568 88606\n42283 69820\n4358 95825\n9267 18247\n24050 88200\n12835 47884\n34884 76944\n11174 50622\n22161 31336\n19981 65690\n24982 62930\n26420 37375\n11381 38834\n11754 76776\n55621 83120\n38245 46579\n50273 60703\n32687 66403\n28309 47546\n10749 44133\n8025 35300\n70743 80806\n25888 79237\n19166 68007\n8630 94061\n2036 36141\n53816 69751\n10122 89269\n46630 70325\n2974 9289\n32224 88541\n43817 53852\n12659 26266\n5077 74593\n10143 75615\n61918 76009\n50656 87395\n15312 54227\n2984 60317\n69515 97469\n21917 95568\n24516 56762\n54932 69393\n85322 96245\n58805 91394\n44100 93164\n22612 80351\n16652 91034\n73814 89415\n20509 87322\n29017 77500\n36736 74736\n15417 59786\n60848 88306\n46162 98035\n32551 81491\n12884 98001\n25452 54731\n2970 64181\n43765 67188\n74514 90283\n3855 14631\n10490 51024\n18567 61401\n24121 93424\n36727 50717\n2189 69507\n25521 50028\n89966 92043\n22476 93239\n463 8546\n50914 90137\n54955 61878\n29703 36392\n6045 21179\n17436 98257\n11174 32776\n12555 55810\n68238 97338\n73237 87538\n8363 11985\n64467 77027\n12838 98666\n52008 74820\n17160 87411\n20673 80366\n50454 84586\n51650 62427\n34592 48992\n43258 50545\n30582 66154\n18049 24813\n14116 42783\n74911 79745\n30780 39468\n15685 73724\n70968 97539\n14204 29495\n77130 93272\n21565 22945\n9117 83380\n33474 75165\n218 3790\n21297 74110\n6079 18149\n35526 60950\n88574 89949\n71442 88048\n49911 70917\n22398 40286\n29409 89004\n61703 93884\n19725 25352\n59549 70103\n17836 57890\n13406 42553\n58734 92691\n7304 44794\n54507 88489\n2577 66122\n72220 84857\n1381 53518\n66444 70039\n89794 95456\n65967 76164\n3590 22312\n32618 52992\n55839 59460\n71973 98347\n19823 33982\n3611 79830\n35990 62517\n41594 82440\n26436 63732\n91766 97750\n28975 73378\n5169 85168\n50755 94247\n12421 13469\n61673 98345\n5190 47404\n82715 97223\n19562 90756\n5398 7066\n48234 89532\n36313 41414\n83737 92985\n3241 77850\n75502 81473\n45916 54009\n63127 64270\n12232 42931\n17046 64503\n25430 39432\n1299 27689\n26002 28260\n76450 85407\n24892 34420\n2680 94539\n11335 70696\n11198 17954\n33769 71778\n2114 67474\n49854 65387\n3041 44112\n5430 52206\n5510 18079\n18140 39999\n53479 82696\n24582 65523\n47094 66811\n40562 90026\n400 37219\n45478 59848\n16941 17903\n31210 83960\n29256 91266\n1620 4948\n24787 47195\n42687 66306\n14840 49852\n86081 94826\n39323 42586\n1772 85570\n46597 57147\n51370 72565\n41967 64499\n45374 70588\n51946 82142\n6813 52796\n27897 46940\n2820 55792\n34515 51365\n7770 76507\n30228 97739\n63136 99841\n28607 89224\n1373 19161\n5100 99663\n70543 78212\n33221 53523\n46987 94742\n29312 66881\n93014 95487\n49226 74449\n40152 72818\n16048 68247\n35596 67069\n11918 93409\n82932 87901\n26644 70855\n41181 53375\n1687 67899\n55528 88941\n4372 65649\n69170 74376\n5882 14865\n91431 98206\n18434 62586\n59043 67082\n29862 65018\n2573 62996\n86793 96179\n26873 89927\n71441 84522\n74255 92664\n36657 52104\n26724 28829\n39693 42040\n32912 47181\n26300 92929\n60689 70108\n36821 45985\n18523 73062\n56203 94030\n44719 79293\n45551 49896\n23071 74438\n18509 81297\n48695 69502\n30520 96154\n18965 86852\n20028 73437\n21805 84059\n4234 68375\n8104 56996\n74622 80445\n55378 95290\n24688 27641\n49385 94931\n52936 74233\n90967 96403\n23196 75850\n17054 59458\n50373 76703\n47405 90646\n71636 96600\n32691 95477\n46347 60825\n52779 98809\n10014 72183\n71202 91603\n7780 65791\n62560 98892\n60904 90405\n7176 15733\n42711 52506\n15125 79328\n78948 96378\n34574 35335\n19251 49833\n39967 41306\n57519 78791\n7740 28851\n25303 72216\n17170 58719\n2804 10117\n2369 60554\n11423 37349\n17079 42917\n69524 89868\n19990 59511\n39859 89138\n1011 12754\n41191 89773\n41604 56699\n20574 93168\n6056 76061\n35165 67037\n38298 61636\n18248 64364\n12348 72453\n9588 45913\n19846 45385\n27774 41752\n10568 18513\n22729 38270\n13884 33747\n34282 60913\n27487 49349\n100 85631\n38945 50409\n6387 62003\n6969 44540\n19336 86243\n43796 86088\n30879 38036\n14889 43131\n32329 34630\n5056 56896\n6006 70124\n64183 86604\n9419 38217\n65158 84904\n23002 55684\n18260 98444\n3955 13807\n15979 45751\n33158 41400\n27726 86760\n25012 95171\n15694 82692\n38498 63503\n57022 77918\n46979 56098\n27490 54005\n78249 79986\n47664 73170\n21430 41365\n18491 80077\n14264 97978\n38082 40672\n43932 93680\n64031 76778\n35275 88199\n48122 74710\n7807 75351\n22603 32255\n7175 76569\n10173 42769\n12511 68935\n33591 88592\n34546 61110\n3664 75582\n42349 66797\n69679 76983\n72275 77956\n9010 24875\n56701 62392\n35099 73157\n14464 93528\n31895 94170\n30057 91522\n25590 50863\n13306 18914\n42634 68618\n27544 83471\n63636 83417\n17933 52186\n5137 38939\n83393 84657\n68217 90684\n20922 47794\n33588 56212\n13762 35416\n3875 67870\n25086 56411\n56614 62155\n35518 61938\n21 27571\n86139 88033\n40157 73391\n90276 92749\n30903 32828\n34967 40959\n78841 79185\n40676 48397\n6155 29602\n21713 78635\n54739 97802\n60859 71243\n18962 79878\n20959 38883\n6820 37755\n89578 94573\n86049 98752\n43890 47899\n79352 99680\n47722 53803\n41714 49561\n2455 78177\n9501 90173\n32417 95279\n54284 54374\n28109 35890\n20826 98137\n34168 80808\n41634 91825\n2664 38654\n34780 73131\n17407 68769\n21328 81430\n37092 68551\n57646 68206\n18565 47467\n39586 98275\n30985 94973\n24012 58941\n22348 23812\n33979 36928\n15603 34076\n27283 92334\n728 75171\n44282 83165\n65905 81473\n3319 44149\n50971 73242\n15272 87391\n22406 65765\n9970 26643\n29384 88468\n30013 50823\n7730 75302\n26561 62224\n6837 39489\n4959 58228\n27144 94077\n40889 92698\n45875 76984\n88362 91210\n25380 73688\n7785 66441\n45104 69049\n2232 57320\n24097 41914\n24671 34502\n78713 93173\n58809 96019\n3276 63865\n706 36856\n76207 90359\n70184 73247\n7189 33874\n15130 58786\n54675 73925\n54437 81837\n91801 92594\n27897 89673\n23978 35099\n40712 78491\n5636 14636\n29404 32944\n38222 71370\n24741 97349\n6171 22366\n11770 28214\n15491 63858\n22137 64797\n13889 48308\n6904 8744\n49682 74445\n7989 85699\n18022 84457\n47555 68378\n64294 86421\n49844 69621\n4162 71015\n44908 99674\n42285 46533\n17230 53281\n65053 66293\n24703 61498\n38727 84313\n5891 89078\n1239 11796\n7244 67364\n49883 67130\n28383 76330\n11274 74843\n31008 47511\n66362 78752\n62555 65007\n13525 60252\n23875 31324\n7413 93643\n30160 36135\n24628 28761\n49925 83258\n15398 63079\n94240 94499\n48836 90684\n19561 80787\n36645 57741\n5315 81451\n23759 89916\n27265 50795\n24127 83779\n6689 8684\n39023 92508\n47486 78583\n51057 63912\n23732 75511\n8015 62981\n3177 16115\n23131 81103\n12493 89790\n28946 86009\n15561 53089\n82571 92919\n12072 40560\n2624 77583\n42452 91331\n14885 62335\n10856 32181\n19130 79660\n53392 58492\n14987 42602\n58140 91495\n26566 88185\n40692 84641\n26547 30082\n8347 65308\n9723 57935\n57346 69458\n67975 89738\n50560 73055\n8123 40842\n5694 17897\n19470 27959\n58169 77987\n19122 98518\n16198 17683\n35558 68817\n24773 45505\n27931 71709\n64067 97959\n32711 76998\n24306 53566\n3570 34980\n42969 49964\n7736 21754\n3451 69399\n56504 64344\n70177 93130\n9117 50296\n1540 62798\n32622 63848\n44599 45416\n14178 99176\n16030 77307\n16106 96835\n5110 77820\n70516 74582\n6673 89013\n41672 61868\n12537 61681\n24263 75432\n22419 87510\n4262 83146\n48201 59565\n16348 30220\n547 83536\n38822 47139\n53971 68474\n38764 93021\n31007 81267\n83603 93879\n17192 52290\n12304 68696\n59541 93782\n3589 72051\n9588 35743\n15734 53792\n29499 98951\n67801 75511\n17254 76534\n67274 89441\n4980 22892\n12193 80258\n9535 23684\n44116 99655\n24950 36802\n10690 98288\n63766 90243\n40761 44781\n5189 90535\n49595 98137\n73264 88361\n523 28809\n4697 64441\n29661 58050\n23968 64625\n22792 83855\n44014 86902\n31856 85463\n9885 83286\n44577 73051\n58141 83064\n59108 63146\n15600 61877\n5549 57256\n47398 99952\n79205 84200\n13811 35906\n4690 73467\n10975 43052\n44189 78646\n44441 73415\n55370 63251\n3147 95218\n46673 94499\n1807 69869\n16619 97188\n53451 93510\n24473 98383\n34394 39224\n9738 42895\n71137 87604\n38720 56786\n83158 91930\n13509 99153\n34342 83097\n30106 71650\n38213 56211\n18620 74346\n942 23591\n14425 44758\n56004 97608\n53775 86713\n3192 34966\n6654 95004\n54173 55226\n1396 22097\n31131 60153\n42432 93417\n1190 43123\n32295 33075\n6173 14121\n27789 73341\n7793 72799\n18679 28285\n51729 90915\n5979 65228\n89441 92659\n31290 42110\n85468 99261\n71806 79438\n5190 44144\n82182 82944\n56283 97402\n9352 39328\n2731 83156\n31395 36045\n64831 78192\n69917 87809\n32812 48606\n36980 38824\n2033 74856\n55166 90137\n15333 80898\n45279 83870\n12111 81783\n50577 97202\n2291 94040\n8396 77634\n58471 72420\n22021 61599\n38178 86745\n18603 62835\n17377 36040\n6099 45438\n19994 63798\n89971 99703\n44644 63224\n63193 87959\n47848 67362\n88454 92140\n14254 60126\n2194 86120\n37215 69677\n2236 58706\n7110 68891\n80925 89778\n41117 86706\n4148 28953\n10927 31683\n82434 82456\n83819 97796\n51308 79242\n88930 96876\n76331 82807\n34813 36612\n980 31758\n13878 23689\n29219 35307\n53137 72245\n30654 93091\n17094 76598\n70417 86795\n33422 86541\n12444 21912\n16618 41900\n18666 92142\n27039 52994\n5362 38346\n33363 71942\n17247 88543\n39000 53708\n9212 70681\n75405 94792\n58604 66754\n3220 41149\n52597 63403\n72157 88631\n25809 26271\n64679 85659\n59876 60612\n25681 41023\n9631 12505\n23329 35599\n28180 47923\n55712 94167\n61576 79682\n52642 97753\n29373 45241\n39875 79355\n46171 83943\n56806 61764\n59277 85145\n16062 18841\n33784 34620\n1168 27637\n52557 68484\n38383 74929\n11032 31364\n29189 41867\n14539 22356\n70956 79922\n82274 94950\n76883 80208\n45143 53595\n13737 76685\n24141 65811\n2994 10382\n4289 69211\n769 57029\n88467 97351\n58166 58893\n13384 57435\n8038 94364\n13973 47928\n12266 38760\n41511 45448\n50831 92256\n9571 51049\n51666 87082\n14424 67397\n12914 47000\n15523 85359\n18698 48102\n45451 87378\n33489 85203\n31341 68186\n17179 70356\n5266 59226\n58485 94484\n91832 93134\n54868 89330\n71133 88531\n24517 35932\n56845 74308\n36600 67375\n71793 74532\n37234 68005\n21787 30655\n13739 80344\n29361 98750\n21096 81132\n25575 73288\n9347 9648\n54716 81257\n28092 44382\n62178 73457\n50938 72423\n30107 81438\n53009 55442\n52551 95683\n48654 86033\n11313 74573\n10713 93102\n42802 91078\n59327 95519\n53397 83975\n15484 86406\n84635 92471\n8982 19956\n8978 9606\n7915 69773\n29959 91787\n3296 4241\n26151 80080\n16675 99287\n4646 21060\n34203 82768\n22060 49308\n47249 65090\n1133 81483\n25063 84390\n38551 52403\n40110 64917\n12325 71207\n58076 96770\n33714 95804\n21253 74089\n7738 94209\n53399 75161\n29923 67752\n48536 91777\n25866 98838\n13884 65631\n86045 98955\n19299 52968\n22314 84585\n16979 26172\n34340 36754\n41713 41733\n43641 58460\n9405 82755\n48075 50061\n22001 35767\n17234 40035\n27401 98886\n43854 55893\n49245 88897\n76464 83537\n45428 59691\n18852 70457\n10888 44030\n17077 18112\n41161 81948\n48645 56084\n85928 94464\n38717 72930\n4800 90033\n61108 75740\n30978 65050\n51808 77072\n6135 54371\n86929 88484\n74773 93432\n37660 84646\n7515 31611\n26177 50134\n5550 65973\n11372 34319\n7253 38716\n91529 93483\n33087 58330\n33639 72981\n1877 97114\n41961 98249\n54044 57312\n29925 71103\n52541 68390\n598 55563\n9616 75869\n49203 79491\n21138 58557\n55169 90217\n53480 54221\n6217 34039\n1711 73473\n54728 73679\n41714 50452\n21211 81099\n18706 70042\n28478 51079\n83954 86309\n52039 66239\n67676 90261\n31319 79490\n27121 95936\n23095 40254\n26636 43875\n988 80840\n11770 99189\n53391 57051\n3966 15577\n10810 94765\n9339 35757\n8808 61592\n19672 79651\n42368 55001\n36163 88429\n79441 86020\n2829 76258\n17712 35289\n70933 94429\n34276 96623\n43194 83255\n6493 37848\n29804 77051\n10783 41511\n30339 32443\n75794 79504\n3127 42246\n8128 48014\n25393 90184\n28629 87398\n11578 84966\n17959 93467\n44045 87579\n24133 96273\n15 83270\n41921 92644\n75418 93069\n65342 94026\n6732 64975\n9476 67209\n6269 25694\n59595 61859\n29439 53243\n17827 35871\n51663 53427\n25061 81450\n12365 18230\n65665 86710\n40723 86607\n34003 74548\n37584 76798\n13339 97855\n57600 76360\n9973 40937\n25243 36838\n24486 64227\n51104 55680\n15528 22533\n46536 88165\n45461 94447\n22416 49250\n12636 65762\n28455 97405\n21893 37189\n8250 29123\n17340 88489\n79886 87297\n36429 68375\n53853 75400\n27877 29966\n37865 88540\n18058 90266\n3688 36218\n40506 47659\n79623 88690\n61692 74654\n48209 82894\n25911 84322\n2887 36191\n68931 85236\n40241 62438\n41320 96100\n8530 52623\n13135 45878\n43496 87406\n6690 57296\n26134 28875\n30836 57171\n12143 38177\n1084 87580\n38311 96307\n74806 79969\n45374 82894\n31054 91159\n12742 42150\n22750 90338\n77822 79898\n50815 69378\n53771 57755\n22153 58434\n14217 52651\n54069 91321\n21978 47002\n1915 26343\n66245 89203\n15863 83198\n24693 88018\n58380 75421\n19454 28114\n4845 53834\n34798 76239\n24069 86516\n1850 31775\n55197 64702\n50687 60701\n19520 96075\n78727 92137\n58793 89941\n19922 85885\n18481 45241\n15518 92727\n20526 21078\n906 54242\n22283 99794\n72448 82737\n13320 74649\n8205 84930\n8301 31563\n21496 40025\n47173 98758\n51318 81158\n5859 17220\n32767 69298\n50268 63842\n8225 10051\n48023 81515\n13448 51543\n10790 87174\n22161 68857\n8269 90298\n68116 84510\n16821 40603\n11450 60093\n64342 66830\n5192 67687\n37559 45758\n47250 79403\n26796 53846\n41313 77738\n63284 74937\n6199 94999\n63509 94005\n54240 70274\n42410 89028\n5520 52552\n26859 30261\n54673 96442\n2316 75317\n3387 89031\n74035 92794\n18939 20849\n2471 92831\n7375 43167\n18539 68816\n20799 30273\n56505 73901\n85464 99343\n42088 86728\n23526 50336\n37766 52129\n18245 96622\n44130 83958\n25506 49792\n50690 89706\n35079 49204\n24134 27293\n5777 78194\n24423 30957\n16057 80804\n7157 55079\n37924 81983\n47287 92386\n13017 14390\n33119 34810\n37874 65967\n13211 74665\n7928 78028\n10999 27674\n47145 78227\n28595 51415\n52692 86499\n2316 71490\n37351 50676\n17312 54478\n35848 95368\n54651 80752\n31720 47486\n12702 12843\n88037 97099\n36904 99960\n9138 14949\n5840 85071\n1405 13944\n17107 35378\n8081 46023\n8725 80191\n35959 47951\n32855 85163\n56712 91410\n36883 69141\n13931 47789\n41306 72027\n42790 59761\n56413 92389\n2279 47217\n22858 54112\n13305 39992\n21165 30416\n50495 80268\n5533 36227\n58489 95992\n46152 49781\n16095 82839\n37086 69955\n759 55648\n15459 95208\n20193 91142\n16762 31812\n37581 55255\n28590 89392\n15732 65326\n27799 46715\n47559 50236\n74691 77200\n17550 91631\n32616 42272\n16942 51617\n60454 78906\n1756 39303\n9320 81883\n22111 76551\n8207 42499\n17339 33270\n42968 97265\n23433 29226\n33196 41310\n35251 42924\n61914 63325\n33003 44038\n75759 98826\n32174 75862\n58617 61357\n7342 72835\n11006 32404\n30528 54018\n86659 90999\n46487 82658\n17759 90256\n7762 76781\n71979 77998\n3711 36826\n1146 53027\n1902 63883\n50797 94432\n16290 87745\n13632 42045\n12317 35594\n15642 75559\n9770 34082\n6958 99281\n58868 88667\n39021 43603\n16528 58974\n24301 42770\n22374 88580\n11699 28046\n1949 24337\n71224 73419\n56951 94470\n55327 58992\n22349 40170\n51260 58865\n5501 42978\n46432 59412\n19225 75888\n42572 79471\n61331 88957\n24156 58983\n12586 71292\n47539 91786\n43937 94353\n10323 76137\n16048 74692\n34640 47444\n23197 69928\n56758 96087\n6185 20460\n52270 91321\n43401 69831\n29688 78732\n81606 90162\n38705 44061\n55856 90802\n87 9336\n5380 57786\n38740 95668\n85871 99346\n91968 96326\n23365 57863\n43036 60109\n38091 40936\n3404 8535\n10819 42379\n12617 54775\n28582 29539\n83531 83819\n9619 82247\n7504 79502\n18472 70689\n22684 66057\n39584 51599\n11720 37051\n17141 79135\n8474 55643\n32282 58303\n65562 84570\n27681 42151\n8762 20648\n18990 95338\n6546 88871\n8173 69731\n314 79369\n18903 94513\n48913 52693\n62692 74301\n9210 93886\n34474 88810\n24007 72660\n88408 88556\n1253 69511\n61441 87317\n9424 24869\n83193 89052\n7441 12873\n38165 48666\n30637 89944\n11646 98013\n55246 67806\n3102 84692\n43838 61934\n20513 77055\n35208 75081\n37859 55295\n14330 97991\n31236 97054\n66111 66976\n87123 98492\n62189 91344\n45156 78992\n52716 92638\n35519 93700\n36689 66971\n2757 96159\n13994 45809\n18254 61135\n67263 95178\n15673 40086\n48783 92374\n26200 31079\n1635 56241\n45403 86041\n21809 32183\n48373 90334\n30316 47008\n31883 48985\n84968 98099\n16843 55715\n4127 56166\n8286 44351\n10880 74867\n1529 85741\n60236 78882\n14170 78561\n7565 54571\n45167 71839\n44381 58715\n82151 98247\n33143 35449\n72335 83965\n33506 59061\n48918 75819\n2561 92815\n36336 63351\n36538 51712\n10016 92272\n53624 89111\n31159 64846\n32411 41703\n27796 77544\n5992 42628\n788 91189\n35932 80083\n19762 90021\n22039 76702\n57040 73026\n59215 67627\n56937 86713\n63061 95275\n82109 99615\n23168 44348\n70455 78209\n34333 89893\n26821 71171\n63771 66737\n8448 25766\n39231 96169\n53310 87821\n12260 30151\n27206 41243\n38602 64331\n49391 52074\n57869 77232\n55542 76090\n15775 17451\n39531 71223\n87098 92990\n30535 54975\n30100 49408\n27645 65065\n10792 45141\n57232 59428\n33784 58896\n1206 84139\n51711 90048\n92809 94017\n4597 94413\n1028 84608\n67679 80270\n35284 61925\n33516 65266\n51805 51857\n29370 76520\n40680 85910\n66950 79683\n18601 74062\n22206 35150\n64924 87536\n237 31944\n48604 95388\n11644 31136\n23798 42049\n11294 57539\n71392 86071\n59683 94767\n39613 82970\n26038 33256\n3205 77377\n72150 86866\n75239 78680\n41821 59758\n52598 72302\n33681 60268\n19279 51571\n67937 99505\n23941 57180\n361 99105\n61225 63153\n19381 57247\n34102 71565\n32106 64371\n15824 88709\n41229 85718\n15924 70543\n18983 30546\n27379 96835\n89423 92152\n15308 35414\n13410 86717\n5223 54450\n9382 23089\n41127 93305\n55702 95465\n20162 35913\n48362 49825\n55936 71336\n17407 43592\n61857 86092\n16572 23908\n36065 93529\n17798 82110\n75872 79152\n737 16661\n22715 37367\n14328 80611\n35268 62394\n14075 91936\n37996 55663\n60039 84181\n53732 69958\n36233 50875\n9406 96340\n24822 32882\n9255 55025\n44832 52446\n17907 42200\n59324 70493\n9206 23064\n70535 92283\n36951 52642\n14506 42841\n7565 81078\n27683 64902\n6976 11155\n77491 91863\n31412 45150\n49467 71342\n62309 97893\n32852 52336\n38100 93808\n5689 38339\n42376 83993\n9761 45429\n22576 74822\n22447 29646\n57975 67877\n72858 84564\n62421 86640\n4365 35290\n16132 24267\n3273 89493\n6927 92514\n65545 90416\n35378 38473\n60990 98866\n15060 45512\n27776 35590\n85588 96006\n14594 58070\n13852 90535\n47924 92243\n14219 50409\n14211 68467\n45068 98969\n140 15118\n46696 75982\n14464 18782\n8720 95751\n2193 43224\n37626 52842\n59979 79552\n69312 90443\n71563 91558\n25675 40206\n51494 77586\n21691 72400\n14848 72650\n23071 99951\n11496 28475\n56154 96941\n47674 94229\n63701 95507\n79016 88208\n9879 79902\n28466 44346\n48474 74778\n14693 89527\n16483 83033\n62610 63461\n8414 80173\n49552 54029\n27108 73594\n49329 85883\n44843 71187\n14943 22550\n27909 63675\n22782 38720\n58034 80433\n20970 46647\n48157 87265\n88010 93252\n18699 47921\n50790 76257\n11448 42976\n95344 98934\n21270 76970\n16242 82353\n12589 38529\n54224 83856\n56049 64089\n36527 39450\n7133 74235\n30794 88050\n11392 75273\n77293 99991\n11231 35221\n21505 60339\n10847 23176\n73166 74145\n31647 39724\n29374 35756\n81431 93770\n14993 72022\n49022 72275\n41362 83765\n41167 44834\n15435 37571\n5457 32350\n37566 38099\n19637 98849\n27878 92725\n74200 76881\n72147 87435\n3463 77747\n7033 29092\n44809 51075\n60938 94980\n47405 96014\n75515 83795\n9871 76599\n23810 76727\n74957 91430\n51187 72098\n35440 61546\n30946 53893\n6046 30974\n36538 89442\n81621 82084\n25276 67954\n20837 35612\n46190 68198\n602 6391\n16060 93277\n1482 71023\n53543 56410\n26696 28534\n20363 71163\n30906 65088\n24394 40525\n27580 61641\n5044 9546\n75206 85558\n24257 99214\n5925 76513\n23189 93738\n4124 83669\n7344 24884\n54540 96767\n10348 55117\n8964 93990\n50846 74553\n21890 57292\n10603 36636\n55712 70374\n1771 92478\n52543 69570\n51497 65628\n45213 77004\n7943 69440\n19468 92342\n79378 93174\n464 51714\n283 40006\n53113 73717\n51464 81133\n60967 80805\n40626 55731\n71656 75370\n38618 98432\n59181 94505\n5294 58081\n8990 39042\n95877 96666\n70135 95458\n33345 83827\n30804 88355\n14154 24203\n20285 45797\n23476 82004\n41167 41832\n80549 89951\n20183 75553\n67247 81493\n6675 21760\n56504 78338\n8513 76851\n25710 45530\n32956 89989\n67115 81336\n9714 92958\n62471 82725\n6574 17084\n34374 92902\n18403 49908\n65751 83480\n86320 90317\n10905 14406\n893 49366\n53720 61192\n63871 99292\n2754 72047\n14491 14671\n333 8114\n51886 81976\n28330 68469\n71767 98124\n38718 75713\n40971 64242\n1782 41817\n94782 94790\n68864 95718\n52127 65842\n868 97613\n3788 62628\n8534 96534\n8773 51167\n13569 15785\n35491 80640\n40104 88501\n5713 37885\n46538 65854\n19203 61067\n52939 59150\n7632 16503\n31199 42137\n47090 55890\n78754 82668\n52182 97904\n58242 76910\n84011 94087\n38107 70489\n26507 81193\n71317 73427\n30018 84858\n95589 98830\n2504 66745\n41695 44785\n51907 67449\n17192 43905\n56610 84668\n3011 8910\n83435 89881\n31144 50515\n59509 86722\n8496 26521\n85642 91821\n23629 60337\n44410 76407\n10049 94634\n39930 68333\n31218 75720\n77655 87775\n39287 84770\n25504 69255\n1521 28594\n10563 21758\n31781 91598\n7668 13691\n53743 82256\n26149 52037\n70825 73015\n18471 54857\n17312 39115\n41482 78049\n1911 60130\n87494 93764\n11583 20922\n38625 53795\n33752 61914\n5115 48611\n2054 34019\n60475 70536\n11025 47562\n26238 87357\n88840 90847\n10500 15798\n96559 97598\n52711 78729\n45407 78180\n41239 84385\n62137 88196\n14001 34731\n31389 64789\n20239 83743\n73775 88298\n68981 82253\n74569 97400\n8494 82472\n90657 99393\n15305 97959\n53615 75570\n37578 84346\n56477 83763\n61361 91384\n6948 77757\n56274 98885\n1053 4554\n41653 93810\n61111 84142\n84617 97875\n30488 90384\n16070 85653\n9541 61333\n79696 91660\n77703 99332\n26186 88139\n46734 70713\n44568 87264\n3854 45651\n6654 7487\n20623 28493\n53389 78735\n44304 95311\n40594 58026\n1773 71562\n5846 69984\n24994 72321\n32256 75497\n63822 91847\n8328 29760\n61329 92594\n26114 84055\n95058 97143\n16258 92102\n84780 87263\n43813 88344\n31596 44531\n742 74210\n55898 83552\n16621 91302\n84052 88693\n1531 11142\n81980 93257\n69577 89036\n66151 75870\n529 75629\n55539 57551\n66081 86292\n31116 35800\n78 40416\n35135 83184\n35647 42994\n40617 43329\n6775 7173\n4429 83718\n47418 73540\n28887 91643\n3878 39418\n38260 81881\n8833 26060\n7667 12387\n30317 91513\n21041 22970\n17131 79316\n3808 73064\n3191 48853\n29047 69201\n12699 85658\n39524 75179\n40909 46925\n11986 14198\n51949 61268\n48316 87494\n81917 95047\n90977 96440\n55949 92390\n1864 13217\n34494 53359\n39429 91860\n7074 27823\n15406 31041\n71136 78737\n39388 57642\n43620 78773\n13575 38377\n18474 33563\n50299 58140\n16216 72371\n43549 56474\n5304 84922\n53913 71801\n20823 67345\n85778 93864\n56181 77174\n65367 71982\n73355 90378\n30038 35783\n75375 93946\n785 22517\n53446 81021\n2373 58947\n8219 19308\n31819 49431\n75869 89737\n22692 67742\n5889 10903\n80804 88641\n44222 67156\n412 9328\n57574 87385\n26328 64093\n24015 36766\n26126 97892\n52978 54023\n28736 58486\n53526 61344\n59150 93781\n1036 75761\n24345 98702\n65279 76725\n8448 93463\n45671 62010\n5652 75792\n2736 8182\n27274 57893\n44265 76284\n6594 61792\n96792 99853\n39128 66644\n16018 63723\n86305 99860\n61533 76645\n5060 22690\n12970 40239\n95181 98070\n51474 71398\n12293 43742\n44849 47462\n62961 71560\n8294 76986\n44387 91123\n38252 66759\n27285 69516\n4839 95532\n10760 81774\n16614 41456\n24658 55477\n9598 92869\n61219 89995\n29311 29530\n34335 76703\n16459 89331\n8688 51328\n24285 41672\n85851 95697\n58329 98031\n19248 63525\n22255 62292\n24912 97702\n63805 86458\n73229 83002\n11555 91510\n40573 98579\n55801 83816\n10769 78450\n38428 95105\n26673 31418\n14725 51673\n36709 56405\n54271 75279\n25463 93579\n74218 84053\n9862 35243\n2102 55543\n4962 28232\n45944 74727\n22015 52471\n24732 59897\n2409 92949\n53785 64393\n39545 84673\n35255 93262\n38096 85831\n22855 96139\n68392 75081\n3038 38576\n52915 65427\n56081 71251\n1014 51333\n10618 49927\n2714 32116\n270 4124\n91966 98511\n54675 77977\n52374 74632\n10670 54113\n32049 86435\n32358 45079\n88117 99098\n82474 86573\n66323 93564\n34954 68680\n9234 57543\n19971 60823\n18260 56638\n45716 71127\n7498 49397\n49826 69293\n19039 26903\n43558 54714\n10835 88410\n72977 83339\n22260 93906\n33411 44775\n69469 70305\n86116 94559\n15123 64597\n2321 43552\n61912 75135\n39549 68826\n63449 87034\n74130 81061\n143 43533\n47899 72790\n79147 80970\n9102 75881\n50562 62880\n21556 75224\n55848 76215\n29459 65671\n5454 87134\n4017 90837\n33758 42421\n45174 82460\n52213 56213\n50002 70823\n37432 67895\n60435 89978\n26367 54758\n4990 27487\n32680 38389\n13879 32142\n58058 99278\n36718 99126\n32743 60844\n3515 80022\n37512 97228\n30184 37470\n64147 72187\n15201 93257\n47180 58322\n8306 95642\n8363 62217\n21906 91652\n54924 60270\n12250 36947\n10100 60304\n52369 83969\n2925 11588\n38036 64565\n45258 99927\n54153 59764\n45027 87965\n21300 82046\n71623 95539\n39873 41985\n60125 76683\n5584 30779\n16954 90435\n27160 30268\n68017 73085\n44687 48537\n29565 81212\n2394 40759\n36708 87542\n54750 97215\n43325 79800\n25088 46830\n26650 39631\n428 80527\n183 68466\n24953 53437\n14379 22091\n4659 51289\n32164 42572\n20059 62259\n35504 39372\n3664 9659\n8431 49062\n17075 56194\n20409 56259\n2635 68164\n60833 81140\n7469 28554\n75509 99141\n49985 52887\n3799 78815\n63488 73305\n30046 84716\n68782 74577\n14993 88075\n45763 48264\n2581 28936\n41406 69225\n6008 62095\n41541 61234\n4265 56344\n60290 68936\n24439 88075\n8017 85026\n6876 46131\n4049 43715\n17050 93415\n82784 85532\n34819 61491\n11220 14430\n79172 87259\n18757 23580\n34974 64457\n9229 30288\n2418 65410\n35063 52602\n17596 96677\n56999 99685\n9556 64252\n71306 95420\n79297 93302\n84040 84155\n81318 85102\n72884 94544\n80794 85914\n24717 60790\n22255 81351\n67392 68772\n58269 96032\n18940 89069\n12383 80307\n37038 88204\n4429 70984\n26617 80830\n21530 80399\n17233 69720\n934 9430\n8919 89510\n9521 53633\n37919 67815\n51538 80459\n8570 92534\n29679 46928\n25712 67816\n66331 93790\n56504 83811\n69941 99494\n20009 63362\n30236 54487\n51842 85938\n24534 55502\n10581 77103\n27571 85984\n38619 94817\n88139 95293\n13134 99709\n18922 32393\n42049 73927\n80985 81227\n65403 91089\n42620 59194\n22336 75966\n51461 95244\n43528 60343\n42769 92006\n22499 77626\n51925 54624\n3668 65092\n5472 38978\n50283 60384\n73522 75850\n72111 97535\n2234 12272\n10554 87867\n55366 65409\n67961 91243\n8547 88225\n1953 2521\n1430 31640\n49088 85960\n49827 64012\n51225 83881\n70437 80968\n39714 53646\n6467 93139\n44185 98310\n45495 65497\n54891 77632\n68041 91831\n32089 89513\n71573 78400\n11006 91504\n14777 80390\n21015 39233\n44065 57120\n52328 58194\n3012 27859\n38356 59673\n110 27506\n49233 90038\n64178 65080\n38076 71070\n42627 50160\n48860 95161\n65629 86814\n22722 22925\n15449 73378\n46278 87507\n38985 94155\n31349 65717\n5852 75574\n70888 99725\n60838 92848\n55972 87363\n50445 66292\n17211 49283\n28342 90494\n23401 25224\n32683 87926\n1473 26267\n10736 87580\n4329 62653\n89367 91503\n84684 98476\n55709 83088\n72332 91142\n48243 52327\n26597 36606\n10481 89898\n11442 46849\n4686 62257\n1935 72748\n78027 83336\n47284 65263\n8536 73974\n26236 32504\n15575 56573\n4517 79971\n17353 44728\n66667 81842\n33861 78289\n59003 71461\n16598 53808\n10757 38315\n43043 55517\n19156 37923\n10361 96762\n67178 77581\n29630 59009\n38231 55273\n19893 45149\n47088 96719\n8292 22966\n58321 92153\n30623 74191\n7134 27418\n10658 82693\n63480 68603\n9007 34912\n31507 60909\n3934 25080\n16180 92683\n4646 92642\n22243 27989\n4592 66718\n41641 53513\n14667 27487\n4849 52216\n60933 66013\n41774 72209\n97496 97858\n4075 27169\n55571 73410\n42191 67792\n23106 99523\n4671 22057\n9531 97862\n14755 78747\n4862 48560\n61659 62598\n68572 83585\n73091 87313\n51825 74074\n33481 71568\n20159 90433\n65097 72436\n17666 43144\n28088 84422\n647 42590\n8339 64569\n20760 66525\n5162 37817\n12304 90111\n75314 95650\n43437 86426\n35958 53099\n17269 45506\n8635 30836\n10306 72490\n3301 52410\n34337 77473\n72729 99359\n56963 86537\n22923 38399\n40441 66978\n36435 63695\n40095 57782\n34649 75714\n14564 60266\n5308 62421\n60243 80516\n23962 35643\n42326 45502\n7264 22199\n28388 85152\n69459 87071\n42231 52384\n12941 94022\n15017 33793\n15691 45717\n2990 65347\n23351 75376\n11704 85603\n7538 92524\n9783 60911\n58038 97669\n30327 35366\n27597 38919\n65673 94682\n57231 65108\n9159 74634\n25837 85583\n19344 52010\n25952 73167\n15779 52103\n74232 86502\n31463 68278\n63087 88413\n26147 86732\n69817 80510\n88719 95533\n33823 94645\n46551 90193\n12935 97910\n2681 29325\n59316 76661\n75558 75890\n72248 100000\n15265 82649\n21663 80049\n40947 61484\n6840 61285\n22385 95731\n19434 98681\n46538 90156\n47030 70315\n9285 25351\n28191 88929\n32560 92295\n35428 37135\n15658 82881\n11885 16448\n37695 79985\n38927 72032\n28633 54411\n30734 83630\n43016 88631\n17335 32906\n29986 71732\n41523 80885\n34818 99547\n77978 87193\n18006 27905\n22838 74574\n27535 78442\n12331 14311\n19873 24759\n62109 94634\n12140 44901\n74479 93461\n52918 57516\n38502 66862\n52012 96004\n43066 92552\n13445 76985\n1483 21594\n26499 80349\n24372 25073\n68826 83933\n48459 98169\n9671 20151\n8115 60108\n12931 99715\n66548 77845\n28885 62023\n45189 79361\n23766 67395\n52754 58577\n37147 93574\n18373 46119\n6058 13460\n9586 45331\n24279 79148\n13840 49648\n45163 46096\n21035 83564\n31055 43074\n36432 79533\n24497 79261\n44688 85238\n3756 64527\n56140 68463\n20248 89236\n34671 36061\n66157 70522\n55035 99251\n36674 87862\n52688 69020\n40204 81566\n42286 67420\n81428 89114\n26460 76418\n2230 79943\n39675 69465\n89589 91959\n3006 73570\n42408 96073\n27575 65552\n32987 87223\n63495 93406\n5021 71885\n24357 70765\n42335 60587\n51415 90654\n7786 37074\n21589 23253\n15611 57769\n34266 70214\n1217 20907\n22854 32876\n15926 63193\n11365 69212\n21925 74818\n33290 43323\n21143 41459\n14269 31555\n67966 92012\n47087 58387\n40711 89475\n36297 47249\n51276 66100\n22634 30909\n2722 99432\n54684 62272\n50405 71845\n55493 72329\n45861 84173\n4885 63053\n78394 82288\n50248 70413\n7531 37764\n73047 84564\n22141 87261\n42019 80297\n5482 18379\n6215 84675\n17132 85522\n67209 97890\n16235 55578\n26939 28156\n9069 56476\n25758 94464\n22010 84359\n66394 76047\n43934 58843\n64170 92552\n55003 92612\n46204 72981\n70600 99232\n8152 73439\n16986 89182\n6150 8330\n85128 87878\n12159 42097\n52257 97515\n33964 75853\n17019 77291\n19701 30803\n3596 74640\n57189 66842\n44128 59619\n18681 42873\n4904 50474\n18 29291\n15221 19550\n1546 98884\n49271 68209\n41332 87465\n80505 89116\n61447 90202\n13749 94848\n73504 98540\n16013 93054\n45906 71909\n22105 67219\n21688 22199\n49488 79533\n11234 99904\n40574 42173\n10832 91706\n9298 22347\n6932 92395\n21292 58772\n72879 79421\n42229 70210\n3049 77246\n52262 71440\n8493 49204\n16522 64977\n41629 42779\n19955 32529\n46870 66734\n43748 69670\n2248 8587\n17780 39565\n5233 99924\n16167 34674\n24635 38502\n19045 36358\n41501 88127\n32175 88030\n13685 99913\n37877 88106\n23389 78089\n23497 74698\n5929 41531\n20576 94913\n76033 98657\n27625 68080\n68553 98074\n52777 86940\n6805 94989\n70568 89958\n6256 52463\n56456 65265\n50616 87427\n16125 59894\n14254 44577\n9444 99647\n16735 25495\n50698 93080\n54906 92945\n8690 29628\n21497 29602\n19491 54720\n30369 55702\n47606 84403\n8404 62980\n37201 76282\n62242 94942\n31086 99157\n57023 75073\n56815 71541\n9082 45832\n30379 94382\n80876 99667\n70034 81456\n38687 92081\n52654 72460\n16323 51031\n23513 53526\n22023 71912\n48642 80054\n53561 60205\n65034 79316\n47299 63400\n50467 81331\n59757 78331\n12031 39661\n13947 80001\n4505 55329\n18681 69917\n1090 16196\n66384 85647\n49561 57875\n13730 38308\n16385 44953\n69979 73422\n27870 59937\n23368 38966\n20013 92562\n57717 89382\n3553 70388\n21540 94558\n24659 92022\n2010 67324\n29759 62814\n13507 88718\n239 49403\n52593 65810\n24962 80635\n23214 43902\n78656 79042\n48630 84164\n38703 47295\n16557 35432\n30688 78378\n7623 13771\n57478 67515\n35054 40179\n31897 98749\n44601 60110\n12835 56814\n2336 67584\n65977 89908\n46737 98264\n1766 46189\n7384 33962\n3391 92932\n4319 50403\n28606 91992\n20186 29383\n15765 72133\n89751 91851\n5124 79308\n42548 44430\n42309 63484\n39853 52103\n4867 83279\n36747 75807\n10621 59032\n11186 11213\n3436 65151\n16747 38036\n37923 86934\n47415 56029\n57549 59335\n6472 66253\n18713 23526\n49444 56512\n48776 97985\n37430 73662\n7226 37472\n9864 92682\n55076 95220\n33281 44347\n29914 30744\n2882 98842\n46543 67449\n42193 57803\n34311 97272\n17883 18034\n15589 31778\n62647 88014\n50053 78529\n13747 40056\n20774 65835\n79227 84424\n86359 94376\n60687 65142\n6456 43670\n64802 90861\n33249 41572\n85804 94379\n11577 34306\n62148 84895\n27606 87257\n57440 69992\n21191 54602\n27462 90872\n34719 46797\n10618 50518\n54749 88147\n4610 58271\n76788 89901\n28791 44773\n6235 39964\n5663 85453\n1435 8533\n8610 39428\n51657 55657\n57679 67522\n74525 78030\n45039 84351\n20914 54454\n53601 86772\n24877 60468\n14798 19408\n27318 46733\n39092 93998\n11204 64571\n34378 78103\n20007 63801\n19274 60387\n10599 51459\n34823 65446\n57006 93217\n5235 65599\n29218 36341\n40614 70849\n37921 56299\n7829 15153\n46388 97280\n18303 46498\n37854 43289\n56428 99427\n62317 75158\n19685 57061\n41561 47308\n67772 74994\n30910 59710\n8018 15718\n14607 32281\n52614 90563\n56269 65589\n16998 57730\n55936 90661\n43668 77043\n12780 93308\n55280 82204\n49783 81325\n32574 86840\n51 18789\n63836 68822\n87913 88493\n18578 79894\n39913 52392\n6410 77462\n78573 81379\n49421 53803\n80656 84712\n5245 80219\n24620 75418\n8088 40823\n42595 90929\n95791 98648\n61269 83864\n33749 39535\n12773 94007\n5153 17223\n22120 71927\n12729 19543\n13303 83242\n39987 41675\n76819 88180\n23564 43612\n58629 89083\n4393 8718\n69444 80145\n85517 91280\n78631 96458\n67977 70466\n38282 89093\n3871 13392\n51224 85512\n60555 70292\n21926 28516\n7862 92885\n16280 56980\n50778 79386\n43898 93778\n22325 91580\n75069 87239\n12160 35865\n60838 70125\n83738 96463\n2127 74112\n8252 41609\n46952 99633\n34186 59439\n69850 85510\n887 77147\n62376 76637\n54941 80826\n4638 96692\n21732 30589\n32175 42084\n9893 68006\n71016 73966\n9586 79849\n77616 92089\n3391 51946\n10806 31355\n22956 33413\n15556 24168\n28492 75591\n5212 96551\n36264 91673\n64571 81166\n29420 65203\n20850 81406\n29384 97907\n20990 37105\n8526 48981\n3099 3834\n6800 61626\n15091 52443\n40129 82539\n31650 82470\n34605 35636\n37200 38134\n36447 65300\n38292 44390\n8178 82331\n7150 81303\n21526 64771\n25907 49753\n7676 10529\n43612 63824\n33370 74539\n29215 77266\n25567 73510\n28039 41487\n48371 88793\n22126 81105\n47980 72952\n18249 88619\n39642 88673\n39789 65782\n6091 60095\n1663 68088\n72177 92740\n9220 86197\n11222 81743\n43352 68533\n60151 81272\n24902 61835\n9913 48232\n44628 46499\n81203 83715\n45393 46969\n30065 57824\n77683 89234\n24205 48973\n15137 58972\n19042 24974\n27103 29330\n75867 84441\n79567 89611\n24748 53946\n66410 94558\n996 1810\n7027 63801\n14178 52199\n61078 94659\n17072 65179\n40643 80462\n55474 63408\n82481 89226\n59613 91539\n54935 67325\n54692 66193\n232 51810\n67008 86545\n20907 49879\n2889 92671\n14571 84282\n41352 57303\n27788 78067\n89928 90184\n7951 38271\n24107 88304\n3469 67869\n33855 76462\n41733 77611\n66742 76443\n364 62790\n34767 50263\n1497 34598\n40380 98342\n29012 40228\n55889 90929\n21687 29212\n7597 54490\n7396 98652\n30370 83972\n32677 83416\n82143 92221\n33431 35056\n41330 43949\n15755 59152\n33175 34811\n42971 99140\n61240 83034\n12187 73443\n62024 63022\n522 56504\n6671 69564\n90451 98116\n5707 31303\n27191 88598\n11981 70234\n68001 70188\n31077 75444\n32086 51712\n45026 96212\n1069 95071\n69113 71248\n95087 97623\n17899 61281\n9186 37488\n12544 78866\n36906 83680\n63798 69976\n32875 88490\n21962 91960\n76475 89749\n29023 38586\n15776 66393\n42329 55495\n49828 54363\n219 76108\n37862 39093\n43524 81875\n57066 92351\n12011 49627\n2098 42232\n57245 93504\n16573 42301\n84074 89839\n78614 85716\n54712 77026\n17218 79912\n9522 81983\n51285 55981\n15126 75715\n17837 40524\n34088 96094\n46123 88171\n16099 29056\n36396 99071\n33322 95264\n32753 99317\n72661 93032\n74043 84834\n67058 73873\n31919 64368\n53589 83881\n16957 46764\n59845 66895\n38810 61813\n4426 47701\n17953 25637\n8055 34808\n4426 40462\n54232 70948\n44796 66960\n34720 38752\n5318 98761\n79162 82639\n45787 87661\n8168 24027\n28448 50782\n25190 32768\n35773 76249\n82183 92920\n3335 72894\n12808 91314\n37430 94158\n3830 31926\n65892 76066\n38088 77438\n12339 68835\n49122 64149\n2866 63239\n9873 47655\n7714 55011\n6189 19358\n51851 80677\n49431 87990\n11496 17663\n4490 9435\n88734 98291\n54219 68372\n7776 87866\n10405 89536\n38337 66919\n75097 83580\n18916 94885\n76765 82091\n23521 24499\n85110 99462\n10005 69873\n48040 79946\n13584 53488\n33450 66948\n22844 50120\n60568 89057\n8549 70496\n56919 90224\n82874 84566\n3451 90930\n22463 92569\n9972 30889\n8682 56313\n24848 50752\n58320 59531\n3618 16590\n12736 15154\n24472 26330\n80768 80799\n7454 25720\n60770 92424\n17683 28013\n88113 95480\n34192 65573\n5844 43177\n10393 57379\n53414 72035\n31459 89460\n27989 54954\n29222 52239\n21975 90863\n33131 87404\n42148 99409\n87972 97884\n41382 43195\n5311 9752\n22745 59152\n29771 91660\n63792 64945\n7846 51402\n24353 90155\n8037 85618\n68068 77099\n61145 96964\n1053 55218\n25050 88839\n5976 76198\n56938 80317\n10202 18002\n26085 48698\n35663 90084\n29922 97715\n41605 55698\n75573 98558\n5354 18931\n15923 97330\n42637 90498\n34800 38413\n70952 71758\n43674 78802\n75 87409\n20755 76610\n5407 93302\n983 23247\n54284 54745\n29506 54834\n66596 91358\n40439 54361\n22809 49651\n46160 56549\n24905 46073\n65061 65591\n35459 43220\n37662 67171\n65572 87434\n81507 93845\n5652 28063\n21444 63302\n40563 67922\n8456 24545\n10954 99706\n4954 48359\n35544 38400\n9447 24544\n17019 28876\n16348 42465\n38884 58759\n76623 96573\n37962 95321\n4619 64374\n39856 69902\n27504 50321\n16828 81258\n36701 60747\n77147 98262\n30225 51247\n32161 95766\n63802 98974\n50718 96204\n28176 41932\n23046 68312\n65487 77841\n21916 93395\n44713 57125\n34212 98613\n8864 73652\n2147 43284\n7879 64410\n11978 34322\n11830 33631\n28719 83624\n66083 84670\n2259 12312\n47041 90895\n25299 72590\n21363 94521\n15373 47941\n26480 60893\n21822 43718\n42462 43951\n65639 73859\n70527 83494\n41175 85891\n39425 49355\n87594 92655\n48493 56513\n699 60511\n51985 98951\n13205 58404\n29373 44980\n45143 64207\n23879 27384\n77678 91603\n31135 34062\n37795 51495\n43030 56620\n10349 50460\n13917 91530\n28917 46266\n20318 63609\n7171 35094\n66025 93123\n71041 72258\n34659 67492\n60781 90966\n18476 99500\n11019 81789\n61411 68563\n65857 97945\n32118 68768\n29492 47776\n57784 58340\n34561 93018\n55705 77452\n88759 90836\n65995 71584\n49973 75491\n77816 87450\n40803 62639\n48721 54533\n17125 27225\n65306 85452\n12714 49340\n72059 84219\n10123 70382\n43351 59892\n54977 68640\n22032 97804\n46017 89258\n49149 69258\n44938 82971\n28538 58238\n31197 53651\n21046 92512\n5749 76291\n35618 40902\n58373 64620\n44582 92090\n11640 32069\n23445 23775\n10485 88958\n43030 56999\n78138 86997\n28825 32189\n23441 52494\n69360 74407\n24725 91479\n21221 70443\n13350 83977\n46773 49058\n51226 74150\n55745 77753\n36521 45674\n80353 86104\n20427 80227\n40869 95368\n19327 71016\n13250 85424\n62410 70883\n1161 20646\n15897 75908\n14426 89209\n20917 39491\n27017 72328\n47009 72918\n10401 88244\n41578 89019\n21493 38243\n6739 59568\n61227 84978\n44813 49245\n23871 51346\n15339 30248\n7997 15771\n29189 78438\n58931 91807\n85888 87700\n45564 87234\n35546 79376\n53365 92791\n6919 9110\n55133 67036\n1474 91821\n36253 82964\n33990 62137\n61313 65882\n35259 52120\n25383 99150\n60362 99229\n67679 98053\n47757 48069\n14264 54343\n47433 48872\n35274 66687\n15187 78344\n35830 94654\n69139 84962\n9196 76042\n24430 49842\n25096 61517\n34652 50081\n87941 95052\n53885 94379\n34105 46754\n18061 48117\n48376 96177\n38729 57330\n22678 31206\n59930 91882\n39526 80586\n91788 93006\n32532 38284\n30100 40738\n18125 87331\n2537 26555\n31883 83626\n61066 97544\n24618 50829\n52062 69357\n27668 36287\n73275 92978\n19173 47908\n20499 73048\n9613 92352\n39053 59153\n7028 64807\n29290 64301\n56148 60676\n16433 67500\n89151 95132\n17715 41943\n40101 81435\n15970 55822\n1716 93157\n16265 32729\n2291 41601\n16932 71461\n13398 53555\n23301 94120\n34796 61271\n29787 47347\n51280 52798\n22888 23410\n93087 97700\n10074 74751\n37257 47014\n59172 72806\n48378 73276\n43521 59728\n12321 45254\n50448 73148\n31873 77587\n53683 54052\n35500 94089\n44201 60794\n43550 88366\n98139 98516\n2592 82219\n36796 90590\n50618 77313\n33030 50079\n49662 56508\n5175 14059\n1102 26498\n46268 95939\n43931 73626\n46185 71959\n63953 97974\n49582 63239\n29772 95680\n62482 86433\n36398 68747\n89604 96658\n72076 95596\n50250 87036\n23166 89982\n52074 70071\n9367 36900\n11494 70984\n15328 16257\n60479 63303\n29679 49223\n55201 95355\n9 82409\n17137 18165\n5108 58368\n29191 31210\n41876 47257\n45990 88139\n71239 85340\n76569 99868\n20288 83891\n17454 53773\n75451 84405\n14555 31869\n57444 59123\n60299 79748\n17364 40871\n37676 54708\n16587 28150\n18955 28423\n1423 96700\n60559 67649\n9392 74384\n68981 94927\n3005 83216\n56460 85450\n74324 79957\n6365 18417\n15452 62314\n60081 61878\n22562 26934\n23887 77643\n20686 47053\n61541 89011\n50644 84683\n70558 88448\n1506 24946\n41939 97772\n24616 89819\n26363 55425\n49546 56342\n94762 97378\n26052 96454\n7343 90897\n35495 56578\n25981 56988\n17870 20508\n23205 39807\n38567 53907\n3359 66887\n26971 34707\n6529 83600\n5205 23704\n3364 88237\n42128 87273\n10611 85807\n11457 48012\n43884 74559\n47413 55915\n9952 63442\n2145 77954\n52424 90739\n27977 48795\n54984 77772\n24477 39481\n68429 69346\n8084 48987\n12938 46927\n69296 89031\n21065 65102\n222 45953\n28444 77095\n58350 74877\n92809 97018\n7381 95875\n82089 94629\n2391 57968\n65137 97967\n19051 83075\n28528 91278\n66675 75114\n14339 32855\n49873 77443\n15403 96571\n26201 27774\n8118 27770\n77838 97232\n51066 97254\n4718 68050\n6940 70874\n47820 66547\n41475 84861\n8619 90359\n4861 49629\n33286 93594\n8679 90306\n39324 52043\n4553 40736\n46602 63186\n72277 91305\n21717 37962\n27688 80963\n23775 51840\n11508 81806\n45291 78317\n3803 91707\n1294 54443\n69583 92562\n25869 77894\n58170 61809\n30348 65298\n13235 30491\n50370 59829\n15393 66340\n13228 29074\n4669 79125\n14192 40448\n13833 72548\n64368 97397\n16432 84347\n518 39448\n12437 71779\n19020 75257\n82386 91355\n22706 39209\n24405 92123\n31874 47630\n34539 98579\n572 39891\n12817 81351\n11920 53845\n37300 84525\n19111 62091\n4768 9596\n57211 70461\n26077 67710\n15788 99802\n43956 80759\n24549 56536\n54060 99157\n6594 54994\n47125 78119\n17376 91924\n64545 74668\n38326 38662\n30365 59927\n3171 22647\n27608 52092\n40185 43501\n10223 59470\n10816 40417\n9581 18947\n38322 58292\n2454 57806\n36001 42692\n32787 54994\n22431 72502\n766 87460\n6805 67914\n1004 10312\n44913 77834\n25394 52148\n55510 84473\n50084 82780\n20191 59417\n46733 86374\n11592 15457\n50605 87744\n52650 98240\n15305 84229\n22199 23318\n15736 23998\n5699 99426\n7265 24641\n17199 27775\n23001 31049\n85015 85968\n39521 47774\n4338 66467\n44764 82113\n55339 93313\n3057 96251\n85333 89776\n2343 87856\n49267 83683\n28889 53278\n43643 47219\n35149 35752\n17943 36285\n38443 89811\n54176 62946\n40053 70482\n57546 67872\n8312 74652\n21640 70673\n3277 14894\n51640 59446\n79503 87895\n6853 57152\n50919 98335\n13441 26166\n306 90269\n17553 44652\n26795 64819\n50780 84486\n66600 85675\n273 58788\n1579 88402\n21065 45796\n14391 86677\n12524 70091\n20630 87002\n42371 92961\n51925 97743\n87324 88052\n22511 66911\n40952 89819\n6743 81186\n26077 55266\n14038 36900\n40446 90825\n37094 97571\n45190 95427\n2825 31376\n31677 65463\n5076 6793\n43767 75714\n4587 45830\n69295 76630\n16677 61926\n11231 82622\n52624 97739\n66876 93815\n8597 16400\n31413 75488\n8815 15099\n26970 70886\n61042 63560\n9616 33529\n17340 27401\n71700 80622\n21236 73885\n69795 87132\n8047 55997\n24869 35331\n61312 77143\n71359 86688\n25000 49623\n57352 98602\n76728 93901\n45770 91237\n37515 93734\n32160 58577\n19209 39037\n10047 63594\n17272 33575\n17426 19474\n40604 52992\n5706 31585\n12619 62475\n72931 97837\n99573 99918\n38580 94821\n19976 38171\n36927 72360\n18300 88601\n13222 64128\n49558 85264\n16827 81176\n317 59262\n4436 20578\n39710 63120\n64662 85880\n43504 98484\n5024 41111\n65645 71728\n55110 63529\n47247 86002\n34765 69382\n36461 69170\n48258 91862\n8367 70881\n19400 94202\n15587 73702\n32177 55337\n14613 42647\n31688 54593\n37254 73928\n14355 20566\n49889 94347\n41191 59568\n53685 79242\n91616 92901\n3409 77828\n3155 14599\n35048 45527\n60024 97593\n313 23801\n30214 60978\n1492 30369\n54353 79185\n2042 93971\n79731 98699\n21172 80142\n51652 92031\n80696 92004\n86633 97167\n1034 47901\n35054 45675\n42220 59848\n47886 62483\n42057 62079\n28630 41101\n36879 86798\n42979 85073\n41657 80122\n21995 52105\n37878 39536\n81663 86357\n16738 94950\n43677 78019\n35438 44824\n67842 93251\n29126 59081\n48044 56915\n46121 71674\n36251 48199\n2164 98746\n75542 79286\n33136 63817\n56603 69379\n90104 92634\n6557 12415\n10726 59381\n7170 14064\n8838 36187\n94249 95308\n31610 76910\n14550 84710\n50093 53627\n28734 39929\n66938 70128\n12214 42222\n75814 99929\n15144 92147\n5759 63745\n8684 44762\n14236 97171\n17161 60114\n17298 88322\n7757 36029\n19440 75158\n12191 17911\n2218 52300\n45680 90510\n7879 28909\n61049 72005\n36401 76576\n6133 66083\n18837 90902\n1339 94570\n37855 58768\n43181 53348\n85260 89396\n18854 73012\n4100 37996\n47752 60209\n58869 86103\n41349 95378\n2384 5144\n92055 94843\n20684 92478\n21476 41668\n63542 92847\n60177 81634\n58434 75536\n861 30138\n20017 97101\n44559 66324\n5858 65564\n10382 35838\n46727 86070\n539 69599\n12799 34050\n3855 52434\n12046 23409\n2637 65531\n20726 40993\n805 16212\n26033 33138\n7036 32189\n13944 51033\n37535 72533\n61144 70705\n41498 63012\n22586 28111\n23359 44902\n62588 75911\n1939 77761\n16489 57728\n7121 75763\n33597 55433\n4840 72844\n45036 95129\n25873 51864\n65273 76386\n45990 95055\n51832 61667\n49929 79453\n12834 26061\n41657 66918\n11515 46127\n88308 94981\n32208 71463\n5769 30420\n30640 35843\n16050 46499\n59321 91068\n17229 96994\n6528 84047\n56510 85017\n15235 96359\n20938 60755\n7009 71741\n46129 54997\n48147 56342\n40343 97210\n20742 55275\n67093 68992\n52979 60172\n39719 94487\n42123 93923\n26211 63292\n73925 74483\n80669 92160\n25194 30358\n44138 58800\n21062 43219\n2371 35956\n716 90440\n7025 40997\n21695 71493\n51519 74409\n2974 51038\n20735 84885\n84310 87802\n49205 74117\n27412 50518\n84211 88863\n45125 75298\n14421 84888\n5451 38767\n13444 24441\n33181 45858\n3865 17640\n65397 80051\n51619 91961\n81325 82472\n27882 68400\n32746 70332\n30435 91625\n1874 66474\n10329 42326\n14166 22478\n72159 98538\n55809 87572\n12133 24058\n51224 56750\n79865 91505\n21401 96899\n1369 58381\n34013 55783\n27922 35041\n85604 89595\n18289 36526\n61107 86389\n86014 91326\n53157 77121\n41902 88467\n63758 96567\n8450 45443\n43925 71830\n74434 94870\n61434 61713\n3352 81356\n481 67475\n10096 61354\n27998 37937\n73608 74602\n19745 27341\n24923 81609\n32942 80845\n31514 68949\n44352 56403\n56922 65384\n28449 79377\n75722 87464\n46567 74534\n38032 53585\n41749 77568\n24298 67067\n10512 37974\n38328 60326\n3102 85611\n33150 39712\n24909 46048\n11146 86109\n48640 48763\n41729 47404\n58799 99115\n22278 68342\n39608 51276\n57229 77053\n34239 40763\n24117 73306\n5133 74750\n47918 96568\n61574 97804\n26191 51697\n71899 99084\n20759 93368\n52266 85207\n82679 88165\n93934 94371\n24383 29074\n36338 96518\n40823 63645\n74283 87862\n341 39322\n46854 49240\n27232 61254\n9407 62428\n30847 42002\n48244 77381\n33692 79245\n23556 97592\n41779 80643\n12169 37500\n4540 54333\n29257 79785\n7674 46399\n30336 61365\n1619 69268\n13403 90025\n52164 90680\n12323 66084\n88168 92242\n79385 84556\n13613 41414\n3931 24306\n48392 62597\n8713 32667\n62004 97081\n23621 50741\n85884 92583\n22122 52182\n31140 44656\n28628 89059\n7171 69577\n24383 71211\n5089 51285\n10671 80766\n66542 92642\n41997 44410\n83086 89270\n19804 47632\n39546 97389\n3654 92861\n22252 52112\n28280 31996\n28855 89031\n10303 11811\n75833 91121\n39018 57451\n60900 76045\n10504 24905\n19502 91745\n10829 35139\n7250 64812\n49831 66408\n58641 62905\n58476 76319\n33978 85462\n12627 76875\n234 90584\n32261 66522\n26937 55591\n24341 86868\n22139 23510\n33108 47317\n44039 87540\n32333 53805\n494 74954\n18084 48222\n32736 87602\n9058 26431\n3893 82699\n63599 84697\n44507 44930\n6630 55720\n46618 68127\n33893 42656\n27866 38858\n45164 89098\n9176 10624\n25633 49815\n63881 67101\n29268 89268\n1654 78953\n37235 76337\n1084 76915\n51304 73644\n55299 64840\n2277 28828\n17644 99864\n13627 30738\n21216 27296\n26279 93037\n50792 69986\n21914 74565\n14541 87224\n3215 10145\n27122 34792\n44208 60931\n37347 91439\n44957 56858\n18021 79048\n43680 55474\n47554 73160\n58674 67647\n45122 73394\n36981 37071\n7924 12485\n52134 80369\n27325 91093\n36853 73525\n6770 37479\n28845 36820\n66283 96574\n57034 93548\n3584 46272\n46713 92880\n4941 51961\n67873 87125\n63743 83358\n77785 78803\n64282 80250\n50706 97489\n40296 50656\n20598 42588\n55253 73259\n15428 39609\n39819 85971\n3719 12605\n46302 53364\n17094 71250\n38523 87168\n83562 99777\n1391 35523\n6509 75644\n17493 53119\n57943 69100\n10606 24025\n50497 54004\n13301 53095\n48987 62927\n31933 46516\n19671 84374\n18249 83586\n27453 32591\n12349 85397\n1289 22153\n23644 65590\n1694 16752\n37736 85676\n28563 71031\n49975 57948\n10434 64895\n5879 93125\n65685 67005\n56322 80867\n14152 95950\n85453 85921\n39721 64237\n75186 87979\n18440 98353\n12110 97947\n54928 72071\n6744 38629\n2115 60439\n33370 91440\n32519 85794\n93210 95891\n2768 24895\n10986 86525\n16296 44718\n89424 99873\n17529 21605\n15885 63281\n26506 49890\n48452 94682\n16235 54362\n27747 43675\n32356 53854\n22999 78578\n24362 29556\n2114 42286\n5113 30440\n20611 92803\n64132 84498\n60135 82860\n62740 66562\n12457 72470\n17444 63959\n10303 17173\n80352 99996\n93505 96697\n19769 98760\n16201 39650\n73906 76311\n14826 63612\n12132 30873\n15160 93850\n32799 54867\n777 86325\n45341 94577\n22558 76472\n52515 68664\n53440 70125\n63393 74002\n21602 77130\n56936 98659\n24132 56913\n43877 96701\n19723 99853\n9644 21972\n3292 80202\n21139 73310\n12265 20330\n68572 83814\n41109 98182\n26061 60041\n33045 76977\n12032 66859\n75353 93487\n5692 99836\n27 59565\n67591 96558\n4641 87512\n74012 91039\n60848 65831\n37390 59161\n12141 58213\n23370 40731\n26800 87329\n47513 55447\n62953 73021\n2595 40370\n1666 7974\n53268 96764\n49275 96416\n11962 17976\n76376 82132\n49384 84279\n42591 73311\n31630 71645\n20789 63685\n38970 71268\n4199 71923\n14745 51404\n26449 82258\n4738 10056\n9611 29025\n17218 45388\n9965 51073\n12059 93220\n48855 90145\n4521 6242\n27445 99224\n50576 83497\n56104 81865\n82998 89328\n9621 45806\n14273 68705\n95268 96196\n21823 65698\n89225 90780\n26960 75094\n46754 98209\n24911 39984\n9859 39309\n7841 36393\n49613 76018\n23524 40811\n28265 36350\n52875 57315\n68504 73102\n51623 63903\n73916 77384\n20646 76261\n8711 43570\n69606 96492\n9755 58871\n25448 73715\n34343 87448\n32206 43541\n26458 68150\n51619 98049\n44411 93268\n45139 53028\n23938 89166\n64387 70779\n29819 93305\n46923 63388\n58227 69553\n5487 75560\n63387 96296\n25884 36613\n294 2824\n17969 91543\n4593 47732\n71465 87651\n62360 62484\n57889 78782\n23008 23127\n51774 53321\n10093 18888\n51149 80640\n39035 48285\n50771 54605\n20451 75380\n66105 81805\n45342 51063\n43500 58036\n53285 72751\n31433 35852\n43424 79459\n12438 46446\n10817 25470\n27052 30846\n21608 71842\n64550 65508\n53449 74743\n68307 93950\n5574 37514\n28567 63727\n31569 35520\n5010 29634\n78083 98422\n7298 44920\n59698 82398\n41788 82763\n14505 45352\n56702 82237\n64805 81178\n50956 83223\n20055 43569\n32180 72146\n1893 67410\n29459 80693\n18573 82105\n58108 90533\n12122 95059\n15506 57803\n58736 67166\n62145 78449\n26664 82910\n73120 88435\n42656 80092\n11405 43262\n4091 72856\n24767 54238\n23637 87756\n56837 77060\n21501 37451\n17661 71189\n6553 61690\n15999 90765\n40365 98220\n2290 18682\n1730 99410\n770 1173\n56466 74258\n53832 70069\n56731 92070\n41128 45688\n15942 33408\n24575 81746\n4959 18212\n58275 87930\n16032 78634\n21167 46257\n76386 86896\n2357 45924\n48454 90545\n5296 10634\n1173 79546\n1652 45502\n14266 18063\n1422 78407\n6936 94458\n32335 44547\n31061 97211\n5210 68106\n47453 99918\n23660 93216\n50205 83417\n34389 79399\n54767 93739\n68273 70181\n55519 97493\n9895 18510\n52608 95022\n10415 32826\n12101 65882\n24867 66566\n18651 40034\n7707 93225\n69452 78459\n13401 29829\n68016 73980\n48641 49247\n39526 45243\n37405 90798\n27057 69225\n62065 92725\n6046 34051\n33611 62057\n36560 80306\n67614 92554\n9887 77905\n6708 98475\n8040 88105\n87968 98372\n29106 80458\n16450 88981\n150 34050\n31787 57726\n68782 91093\n33286 73950\n47965 95503\n24683 58287\n18654 43949\n65273 78052\n28198 49014\n28216 98540\n38580 45792\n3730 65797\n11945 13667\n6624 64012\n18258 77442\n581 51723\n5684 35540\n3803 52122\n15749 76191\n22054 48884\n11137 67771\n51534 63618\n9584 45576\n5983 73569\n21094 43102\n23510 27328\n36219 86843\n46077 85839\n25037 80997\n50028 86709\n30859 31618\n31670 66666\n69489 97163\n32371 75643\n92620 93587\n63787 78428\n39750 45366\n82862 89132\n10595 59434\n15427 31505\n33429 81214\n33125 98455\n43315 61573\n28714 67288\n57208 85432\n1113 31196\n23448 54652\n88623 96161\n17318 44764\n61338 64316\n2567 90005\n28283 86984\n9989 88695\n59049 62241\n44221 48317\n37404 97600\n35767 51979\n922 46345\n47854 85915\n47531 95459\n3152 60135\n33685 67497\n14174 50475\n6554 64469\n50973 57912\n14921 70357\n68915 82199\n2014 13289\n49638 51437\n55432 84009\n20797 68485\n60290 79023\n66383 86331\n26863 82606\n9615 99635\n72139 81683\n10555 34702\n53810 86638\n14301 86565\n54687 85724\n22375 40985\n64563 85091\n37487 68112\n7515 28846\n10659 11859\n30069 34342\n26202 96002\n19756 28166\n17998 41911\n56849 67057\n41257 80734\n42165 43981\n11684 87369\n56883 91798\n48817 77006\n40052 59916\n3381 81507\n42673 52455\n9357 28910\n23529 53676\n21170 45911\n16620 44385\n57586 64365\n40514 98907\n919 87903\n36439 39304\n4748 85371\n16022 91290\n57439 72282\n25017 48001\n72985 74670\n39888 94549\n18434 53205\n39180 63659\n11330 14063\n12833 53402\n31768 53064\n20380 39444\n37604 59004\n48942 87055\n6041 75279\n11959 68846\n31022 82260\n40689 88780\n16846 43395\n20804 83427\n23690 73289\n19612 50184\n42130 96369\n27796 71863\n12368 78819\n53213 87561\n24895 50384\n17162 25944\n42562 45142\n5485 14010\n17966 66642\n23102 43218\n3721 30343\n10516 58956\n38652 73760\n25476 78217\n45169 45682\n10675 62969\n64688 89442\n1161 4445\n36892 64316\n48682 99286\n37498 69946\n81343 95882\n41713 95766\n4583 62550\n16456 94724\n8163 13796\n42983 89449\n989 21203\n14896 76178\n11 7700\n25026 49197\n8487 87612\n14762 99802\n17347 70226\n20360 88865\n23937 83086\n43963 63952\n11461 91155\n66479 67970\n16903 19337\n8187 14768\n50471 86955\n12500 63495\n553 74493\n285 54885\n43007 81119\n17669 31313\n16092 51264\n51159 68188\n49239 51297\n40848 94110\n19005 51067\n16073 16589\n10402 36562\n76911 91759\n54482 59912\n2190 30464\n89583 93034\n11961 31197\n20280 56380\n31242 79698\n8901 32093\n30998 55533\n25043 66728\n33898 50313\n19951 43171\n53158 53233\n26884 96380\n10500 17910\n34172 90833\n20493 35053\n62997 97692\n5417 92985\n17875 23824\n40318 99454\n13000 25751\n20632 29947\n60529 85722\n41277 61264\n16909 41659\n72163 96839\n17640 26081\n24347 91636\n67354 85088\n50055 84578\n18998 33583\n4693 71932\n4877 23258\n1833 77457\n2153 29878\n14874 21901\n52098 64724\n42139 94974\n79315 94560\n25855 81613\n34715 42423\n21124 92157\n54143 89872\n57417 60075\n13062 67353\n7322 8052\n72521 78702\n21645 31758\n8488 15054\n49356 69236\n36856 62807\n39044 81953\n23777 79814\n55894 59693\n13843 30668\n7033 74130\n1701 9342\n60628 61068\n61203 64637\n45630 87772\n3101 31249\n37512 71505\n59421 72238\n13087 55804\n42038 79863\n74723 75906\n4095 20594\n1717 97369\n12165 28985\n57040 90103\n43957 66428\n19318 48680\n19707 88870\n7850 43653\n8882 82799\n44160 45640\n91811 92517\n15987 32583\n64266 85398\n2356 20867\n38587 91156\n8874 85525\n80375 86550\n28691 74622\n37881 40435\n48163 93517\n3433 7745\n96400 99953\n44033 63040\n39135 50786\n6698 87912\n11832 26600\n71673 79340\n8410 48860\n34864 53483\n12832 19695\n86042 99995\n31528 32966\n12111 13226\n13313 49927\n17249 26440\n62070 64039\n85399 94498\n4631 58237\n17683 39368\n28994 93763\n62929 66296\n70046 89102\n39948 54785\n50920 94746\n35335 77560\n26125 63365\n80177 84138\n57132 60863\n85209 89194\n37426 46968\n54845 91202\n3909 99719\n31549 76071\n3605 32516\n27911 62674\n4371 29650\n87702 92303\n52382 76951\n13018 18465\n9526 78252\n69382 97581\n21880 68553\n24103 73094\n75374 78973\n11357 12148\n88134 88268\n13965 66836\n43231 56999\n2512 55461\n15998 23697\n14324 65735\n24527 98043\n36402 88589\n36907 51096\n2118 93281\n44189 46526\n54342 81086\n17950 65191\n48126 86137\n42789 92371\n54306 99317\n36595 75877\n42042 82829\n27758 47833\n59899 65225\n77801 93196\n27757 52230\n14394 30498\n37334 98496\n59657 80927\n41991 45848\n57024 92163\n77983 98971\n57288 77671\n41899 42739\n26745 70616\n12726 95002\n8056 33110\n15236 81145\n1540 59367\n51757 63126\n59450 82136\n11254 43038\n5054 66029\n75061 94243\n63631 75742\n81071 98137\n29091 91655\n21502 65349\n30555 79453\n2029 65451\n65257 87405\n54526 96502\n63479 74465\n31584 52295\n54551 78058\n3077 99999\n22833 39303\n76216 85196\n8959 56940\n49614 77515\n62750 99241\n26673 65146\n31966 93725\n79159 87370\n7203 70831\n10692 29605\n42917 78645\n2852 51170\n2206 43822\n24429 37464\n19946 47065\n3055 4853\n60286 72221\n59862 98963\n33592 39416\n11940 65468\n35181 70712\n17846 90725\n25127 84656\n26136 48473\n2960 83882\n28528 73451\n10293 57560\n304 24154\n1340 19061\n25551 46971\n18013 76632\n19791 52323\n96197 97026\n43650 56322\n44637 64052\n37488 41112\n19261 58705\n78469 84188\n34898 95898\n62813 67206\n13591 28671\n62360 72028\n13361 83282\n5250 52220\n19826 74269\n40806 65657\n15924 47952\n64999 66055\n53278 98851\n20639 67672\n40532 87752\n50610 70403\n33026 83659\n43547 93282\n34075 38685\n22120 72387\n7456 80472\n29758 64409\n45007 50977\n17337 55072\n1993 86095\n15842 68260\n28437 44631\n13209 31818\n32962 54762\n14843 64770\n39463 66547\n18773 79211\n840 97324\n12050 31654\n39076 52600\n29024 33961\n18151 56035\n31421 92782\n21114 92172\n61299 92706\n11536 75539\n74186 99705\n12929 19291\n5483 7782\n44193 89559\n34762 65470\n19616 33927\n75927 77948\n37078 66245\n63375 89938\n19374 34987\n19196 51819\n23257 81982\n5441 83112\n2057 45620\n22939 59741\n10950 54137\n11829 19676\n37111 97398\n743 49239\n3507 81202\n24811 67719\n27693 68578\n39102 83431\n45312 49287\n31844 67272\n14275 40838\n25345 34689\n22989 44637\n23128 51738\n28263 93338\n12439 31657\n507 56000\n8014 46715\n58345 99085\n42763 84782\n45993 62813\n58165 79975\n21056 50590\n42347 99939\n11411 47760\n36518 73690\n55051 73566\n17764 86246\n74143 99948\n14914 66452\n80870 81298\n36226 89154\n17402 82249\n29147 73929\n36107 91936\n53737 82193\n16008 52976\n8900 25220\n57515 84994\n27398 80380\n32509 42150\n19185 65660\n7964 59143\n14564 54941\n63796 73364\n26484 51139\n5292 70125\n9714 69030\n12996 43561\n76669 89393\n69677 75939\n21430 80155\n49284 93777\n42615 73159\n28797 95434\n16227 93597\n40984 72728\n3679 12874\n12420 79544\n25780 52105\n23404 75504\n57931 94181\n76773 85168\n30718 36295\n10572 44898\n74210 91269\n59106 86440\n60587 81104\n13004 37864\n28519 30320\n44008 61424\n47559 95002\n3620 66060\n58005 65956\n18634 70232\n13089 38528\n37158 84427\n49593 74439\n772 59351\n69138 81363\n50971 80261\n790 61712\n3078 36543\n88857 89088\n41490 87298\n71565 75855\n7618 54912\n2544 27588\n8465 55561\n6171 53853\n9651 15101\n26560 46688\n48169 80947\n35261 38438\n26552 95152\n11780 18788\n50623 56212\n22776 38116\n21275 47691\n26242 70850\n37442 65040\n33531 87102\n60227 98537\n57431 72938\n37517 43094\n5111 22527\n11932 54694\n43035 46479\n62410 72294\n82986 96646\n7245 18737\n73632 95758\n21248 47268\n35548 76228\n5372 24325\n2288 44890\n27095 59667\n16694 93814\n13328 89077\n9509 44055\n23660 35168\n31336 90368\n54519 96069\n48046 78806\n29516 57846\n35319 73922\n73322 92914\n51342 76106\n36392 51473\n29040 60575\n11931 50735\n11690 96779\n63651 72419\n39116 57835\n1943 66528\n48426 86012\n25796 47555\n43883 93880\n25743 57493\n4896 25140\n30764 55821\n84172 91981\n3108 69835\n15538 66269\n40440 88061\n28625 30051\n53231 74336\n55224 62452\n2652 78909\n25704 94385\n54365 60405\n12001 51068\n58303 62760\n55771 87654\n517 12756\n15822 60311\n40696 69587\n32167 83580\n8707 73550\n61976 80619\n63487 85924\n29321 75273\n36254 94927\n17045 57324\n38198 83290\n43772 56000\n29972 90152\n28760 65802\n38913 51826\n81909 83730\n94918 95784\n23658 89078\n41343 75246\n83654 93209\n47382 90676\n26632 62804\n79565 80950\n24501 91647\n13159 32177\n252 23762\n20980 22011\n38833 94464\n80217 81201\n7984 77528\n37337 79413\n51332 57226\n10645 47232\n74245 97635\n27411 79403\n31666 62946\n9783 73330\n8802 36970\n12435 17561\n7098 63388\n4935 41252\n48539 74302\n4168 40312\n26254 54247\n25868 90607\n98 65503\n50085 70727\n69229 78446\n1045 61787\n14229 68916\n32308 61860\n58898 64205\n16811 24456\n10832 54019\n42200 67691\n7237 67367\n94245 98728\n49586 96543\n22837 45580\n21633 50005\n10676 32418\n56280 61939\n25790 49810\n4619 43640\n15423 18390\n41446 65785\n26353 82199\n11027 55220\n74660 95847\n14723 25760\n51061 75138\n6894 14301\n18406 84642\n73065 86407\n27347 77878\n647 58138\n10636 13454\n31004 46638\n15885 78810\n33783 82761\n9939 93847\n21292 82537\n20707 98535\n11608 16425\n12859 53860\n74457 90063\n26164 71661\n45116 62575\n6959 43069\n85880 91522\n72522 89203\n2653 69494\n61608 73510\n27840 32673\n17242 61869\n28537 30766\n25812 93775\n35402 51539\n57042 98352\n24677 49491\n4984 36746\n67287 71114\n14358 80383\n94223 98191\n74709 84743\n30843 70428\n1644 98247\n24306 53795\n34861 64078\n7755 41720\n6782 90932\n46614 88405\n41307 74018\n91755 96634\n52963 75479\n18904 67413\n10254 12867\n46288 47255\n11987 81747\n8051 85634\n38435 65288\n27409 68934\n34192 39857\n8156 39203\n10622 88585\n17574 73169\n15391 72926\n22038 28785\n41876 91690\n13999 56819\n14204 52480\n15597 22070\n56601 60081\n1082 45536\n51060 69994\n13319 24670\n25062 93963\n4823 41375\n4166 54610\n33108 37441\n73857 86163\n12064 96861\n30331 82059\n82866 99703\n72828 73676\n39083 68529\n6472 83953\n71705 88065\n29729 74864\n75476 80800\n28225 66574\n61209 63767\n48162 89551\n34320 60912\n69727 97708\n28693 94847\n34654 89051\n17425 95801\n51335 99746\n27796 59280\n57626 58749\n24607 96563\n5444 96915\n19190 32160\n15316 21927\n84872 89522\n10008 79255\n59533 83476\n46763 77293\n2140 56063\n17005 29960\n31842 49982\n13513 32381\n25624 63930\n13689 72383\n23878 60398\n58057 85123\n90748 95833\n3586 75572\n31013 65230\n64004 83332\n29300 85441\n44308 80968\n80783 93853\n39238 52656\n5703 12330\n64444 99931\n61174 86744\n39335 72003\n82871 85684\n26351 68426\n39131 81767\n15786 79679\n3950 51275\n5914 22689\n50666 56799\n38750 65905\n82593 96319\n44761 96200\n63197 98442\n131 29721\n7554 91110\n51998 58138\n17015 53469\n25975 57734\n42257 98581\n10771 21173\n45017 64008\n71952 75090\n14676 92698\n35620 99517\n42682 46067\n272 51436\n11099 87873\n40251 51511\n36362 41057\n20515 40197\n1768 62246\n29190 82425\n15447 83078\n52752 98156\n26308 66135\n40966 91406\n85762 91730\n25492 61740\n80255 85737\n5446 99696\n29663 96465\n18624 58590\n34000 98826\n64960 95644\n24551 37986\n23726 35676\n20130 40289\n9085 46423\n28582 59372\n39630 91769\n21468 35101\n2835 61735\n50561 86131\n49792 94815\n25942 67530\n36689 79835\n32330 70524\n21567 35846\n29851 49888\n15228 68163\n65108 71807\n48578 57252\n10570 43101\n60427 70815\n34200 47126\n50189 82061\n28897 35376\n1514 71014\n82071 98244\n32077 39755\n17490 77125\n69952 70765\n49281 71756\n42351 51352\n55128 63922\n21318 95698\n47382 68314\n8995 42635\n32287 55029\n41502 58490\n19891 43077\n31589 81926\n48741 89273\n15445 53014\n16411 20642\n14936 42403\n20705 45884\n16072 81080\n21804 34642\n3064 45820\n54655 94587\n57965 82834\n90443 98009\n36903 97697\n44811 49120\n13530 73684\n27654 39996\n4015 79093\n29282 68990\n14315 15957\n18247 40873\n9089 22359\n15493 62330\n27755 60246\n20740 55136\n1927 66428\n37846 81030\n10752 41175\n40446 70946\n35323 38797\n8843 15496\n23188 51956\n36717 50310\n11561 78182\n44225 72485\n18161 83399\n17641 80709\n21876 39001\n49673 69321\n83276 89396\n30143 75629\n18846 22382\n17319 26173\n2650 39376\n33948 95937\n34927 86070\n24808 39782\n35890 58489\n5081 73195\n33905 53354\n45313 78870\n12345 58783\n30117 82790\n18442 80817\n33922 69046\n65422 73381\n33170 85544\n18221 87347\n7885 47435\n69340 75899\n79337 84270\n730 59411\n12215 80376\n74081 87421\n20230 51250\n936 86506\n12740 22642\n28152 60393\n7512 73260\n51375 54629\n13214 22499\n10538 13875\n47425 48393\n44385 60397\n48256 80749\n61158 77767\n56054 63752\n12001 12918\n32232 84140\n2939 70262\n52496 67704\n15278 65552\n1375 70416\n24414 42702\n5642 15436\n11269 30555\n9378 20511\n14036 92102\n68629 96202\n32522 93504\n27145 53005\n75132 98488\n26583 68140\n32657 33641\n62122 96766\n10145 63626\n44170 96472\n31979 80885\n76467 98694\n67295 90000\n2268 66810\n10369 85693\n14755 60586\n3694 70440\n40564 71343\n39770 47004\n101 62853\n92024 98716\n20832 29130\n50187 93988\n7576 90712\n36404 80287\n18842 89952\n6724 56231\n45969 64601\n12041 35855\n15080 74465\n8400 62102\n76119 80512\n20642 36050\n86439 98032\n11283 15134\n13433 33349\n1101 84264\n19991 99481\n41064 85619\n72458 85083\n43603 63422\n13283 65846\n48776 78827\n28949 83500\n19767 69623\n2395 15724\n12350 54164\n35088 91379\n2164 52379\n61305 74662\n958 30614\n2617 20605\n66583 81637\n25327 95258\n26739 75667\n3880 93984\n42859 77448\n45101 99352\n26221 48977\n3173 86465\n19125 60617\n82345 91719\n8215 78758\n27862 86432\n8507 44583\n23242 66296\n4867 19054\n71126 88760\n9014 28535\n39246 40894\n2435 41165\n19321 72281\n51411 93230\n14877 40859\n37737 86550\n22955 48532\n9438 26251\n58903 76200\n13451 72593\n37187 98002\n65558 87647\n56966 87120\n22457 36073\n38385 74597\n38027 72849\n47909 97592\n4043 47792\n61962 84746\n11536 76998\n70477 87556\n16009 63340\n41750 99284\n21011 70354\n71064 90631\n20791 23428\n70954 84440\n20750 78314\n92500 97010\n51187 63285\n90865 96998\n51045 89074\n62695 91458\n3554 89575\n78776 79170\n401 83990\n53220 61187\n30905 54098\n623 60659\n67822 97414\n55591 91318\n55617 61132\n9411 71118\n5719 36745\n11628 19515\n5279 55618\n27394 44173\n90087 97565\n29331 73226\n18373 85297\n7351 34988\n55200 90804\n41503 81948\n2641 67085\n96021 97600\n21535 91846\n94311 98732\n28761 29387\n7692 65654\n62398 96577\n71597 99438\n34973 56692\n60320 92333\n59130 91197\n4435 41892\n3059 85406\n10085 34428\n8196 62865\n68739 82150\n45036 62635\n26086 92932\n1802 81396\n40251 42925\n31272 91535\n44288 86079\n65275 75374\n40676 51612\n14001 72226\n58164 67988\n63708 99617\n55537 71799\n14318 72617\n84289 88329\n30980 46390\n1539 61331\n89854 97965\n5304 88256\n69136 93747\n51371 81190\n36504 88489\n8269 68122\n26991 32831\n42845 75459\n40843 97093\n16303 32161\n17948 87051\n19086 68901\n52951 66475\n44300 69431\n10226 57636\n30668 95408\n34636 89183\n28408 80166\n70170 72539\n83412 91965\n4658 54638\n64211 76470\n71690 76383\n7217 44887\n48727 84472\n21562 59662\n13710 85588\n26477 88705\n33325 58518\n1818 20942\n1730 74912\n69879 76388\n20622 38674\n14454 57444\n19254 95235\n47105 80418\n35194 42225\n26910 75214\n9544 85214\n74816 96321\n33844 73509\n12275 91614\n4250 50165\n15314 75872\n26565 77345\n9749 82512\n57907 96848\n35855 40500\n16543 89403\n29660 79539\n42418 97176\n45996 97627\n21604 95122\n22664 85426\n7919 46997\n42665 87039\n16633 41917\n44253 98336\n24706 53118\n26631 83297\n11750 69993\n44685 79083\n54218 76451\n4898 26739\n65472 90734\n24381 46642\n11214 20451\n11830 50411\n75935 84709\n54588 54931\n81355 93940\n22475 38074\n34808 54900\n48967 75210\n26987 69935\n31959 67556\n88922 94650\n5159 40423\n10214 24305\n26031 82040\n8378 49444\n18926 90971\n10698 71150\n14469 30860\n13763 58746\n8863 75436\n79130 94949\n90369 97317\n61738 78758\n45639 64707\n41227 56021\n71403 78770\n29618 51995\n56973 59699\n43954 54084\n27211 58891\n972 17288\n46996 47021\n12499 59479\n47333 50363\n26845 33290\n30815 62049\n14 77476\n2227 90414\n24792 72452\n335 15361\n45261 71366\n6679 48431\n59109 96493\n48970 73855\n62869 80294\n48476 71092\n19204 38524\n8787 50088\n13506 31946\n50005 78746\n53630 65423\n4783 94089\n43524 65165\n74193 85730\n8799 31769\n11014 75615\n2432 18366\n28449 81335\n63651 95998\n23658 87040\n2839 43408\n22375 87762\n2322 42959\n25222 65804\n10827 47612\n23273 45403\n36175 43369\n19091 30362\n16919 32009\n35 31612\n31781 69379\n58167 75656\n30551 47970\n71977 90821\n6379 62650\n30928 57610\n67799 85473\n4639 70016\n57908 80648\n3796 46571\n66178 98600\n53705 81385\n27622 49752\n4636 24093\n36118 62821\n20998 27954\n41146 43879\n63218 81213\n22545 48156\n6364 27860\n16198 32900\n73100 80028\n69348 78712\n76301 97963\n29891 51875\n66112 66340\n8928 12092\n47080 55333\n10353 64313\n51142 53000\n7438 31656\n67854 88997\n88080 90105\n42170 85424\n33058 99259\n48972 54326\n36121 76687\n7636 43062\n46301 56050\n51310 85109\n32593 79221\n48359 77630\n32653 61305\n33483 54568\n11253 75821\n37957 66154\n76676 90753\n67375 90963\n69190 94769\n17302 22070\n67494 98202\n24160 26173\n67167 72915\n23129 82463\n18453 71383\n1751 85301\n6571 37239\n48466 97186\n80721 89621\n22175 39040\n78939 94651\n15937 88261\n13718 43498\n2279 53918\n45181 55193\n52857 90975\n52632 77171\n56389 97394\n53822 78672\n49581 80065\n94651 95094\n29324 89773\n15528 38246\n1505 14766\n26915 49348\n2872 50351\n21148 99348\n3565 40278\n7344 59747\n50721 70406\n47471 79078\n827 54366\n27874 50078\n68446 69885\n3473 60087\n62089 69436\n19001 83038\n30910 34385\n31643 51036\n25437 95334\n17049 71271\n54358 83589\n70804 78852\n1794 85235\n62641 76535\n9671 53439\n7701 27580\n20858 66129\n70226 73387\n31809 46576\n27931 60625\n24276 53389\n24716 45818\n44178 87456\n1484 78800\n49399 71869\n34783 48173\n52700 53596\n37842 59876\n72810 75341\n50986 72537\n34882 56591\n17800 80457\n52682 66307\n13097 53022\n27014 27414\n7209 85119\n55118 69749\n31548 48473\n12149 69402\n48865 56529\n52270 60733\n12275 23633\n15708 95993\n25169 73768\n12213 67343\n9286 38744\n11107 61206\n8570 29911\n5169 23341\n99291 99465\n60549 98900\n14726 81236\n53991 83253\n38416 61314\n2734 19450\n1225 50997\n82517 89801\n75765 86040\n46134 95008\n21844 39829\n40592 83881\n2853 83904\n22789 59505\n17334 39047\n23792 78916\n19211 84163\n28354 62826\n16961 52347\n5257 38507\n11507 85632\n20600 93267\n49859 55499\n12440 15032\n37585 46063\n12506 84901\n20419 32002\n27571 85512\n82048 85123\n2022 43751\n4659 62917\n5641 43587\n8390 64031\n5313 55673\n6482 82309\n43867 72784\n35224 54067\n27683 71959\n11779 65625\n23834 25550\n12556 89706\n10651 40153\n64729 72823\n13464 62759\n10832 74070\n26437 92814\n33949 83493\n73188 92081\n12442 87183\n571 19714\n2250 85408\n27767 46020\n43519 55877\n21933 60558\n12774 85781\n4623 91617\n17192 27358\n22295 27314\n9306 22224\n25086 62279\n60024 63959\n70710 88100\n18579 85434\n33902 79785\n54193 61813\n27900 83232\n31462 48276\n13787 82400\n9753 56303\n8503 38975\n37646 99779\n33645 54050\n18633 33902\n51086 93195\n30002 94448\n53256 65824\n5126 18859\n65814 66727\n770 81060\n1111 33517\n71217 89718\n28373 53826\n23408 72420\n17884 32423\n1077 59580\n74239 74626\n16777 51650\n20523 72975\n44283 96903\n15390 19676\n62697 96695\n63504 67787\n1720 78691\n23666 85665\n7263 41874\n954 11670\n26797 96992\n6395 20027\n16901 65628\n1941 93903\n18428 26192\n29585 78106\n11948 89080\n8688 37129\n31789 71087\n28373 40882\n31675 78016\n12605 30758\n17814 22902\n68229 95411\n25022 61281\n44836 90204\n65337 81861\n33061 80580\n6910 15192\n53683 90185\n10336 49997\n9495 73228\n56882 58605\n69856 78541\n8456 58118\n81286 85306\n36859 95359\n81942 87812\n44281 60190\n9448 48214\n42117 58488\n17353 80849\n53332 70085\n73773 74191\n34350 73277\n11764 54382\n32682 44301\n3963 81351\n5479 94880\n35645 57481\n54469 59226\n68608 72566\n43854 97629\n21075 56306\n4182 70247\n42576 74856\n35547 69730\n10507 40813\n61094 81421\n10082 51824\n58695 83605\n83770 98984\n50289 96475\n24787 25115\n74856 99944\n4470 89120\n10998 53477\n7188 22290\n1855 97400\n492 39218\n15418 92109\n23009 37295\n61787 85603\n33883 97590\n49594 91457\n2181 95203\n68030 75174\n24404 63094\n90737 92978\n50809 64161\n68492 88885\n42587 45386\n52698 84680\n11834 62962\n53760 56036\n48501 61300\n23259 53486\n48322 72100\n82908 97716\n79444 90955\n17870 87146\n8937 31761\n12033 33647\n33287 78364\n14218 74398\n33230 81165\n40705 81048\n33014 91324\n25120 29329\n40624 43041\n24685 56535\n45838 85790\n31317 57755\n23523 38508\n57371 88363\n24063 76445\n31334 74438\n29928 89176\n37337 94179\n11053 35660\n25481 44109\n65277 79066\n33080 52176\n72066 78943\n53433 96473\n1849 68433\n16183 45687\n49446 78895\n15641 26727\n4608 10823\n16472 90325\n40743 57519\n58792 74771\n65144 69917\n80180 88934\n42482 50450\n30752 96013\n1607 28661\n74866 79689\n50900 55399\n48870 82280\n37238 81024\n27753 42999\n9465 15582\n49221 57351\n73409 84324\n83717 96433\n22030 41415\n4147 95004\n62854 68095\n64164 93499\n36583 44354\n31684 49538\n2818 71302\n53692 56513\n80411 96914\n30383 76649\n61045 77498\n64242 78299\n13797 39569\n14816 67512\n38457 56691\n5212 97291\n60333 65925\n43510 91150\n36556 70111\n535 42784\n69316 73217\n8263 14517\n9561 36515\n32084 40244\n49050 95420\n77528 87170\n41858 79943\n34112 63903\n3985 6865\n50206 62284\n19924 65512\n55354 99009\n18045 91745\n27994 39443\n35064 63668\n12673 30301\n7820 79122\n70544 92166\n8947 90043\n59253 85723\n45755 97597\n36070 81728\n14416 31668\n12335 34687\n16225 79122\n33719 51716\n92741 96398\n120 43287\n22831 33069\n76138 83346\n23558 42634\n14012 99564\n8360 47722\n64172 71048\n6519 71918\n38154 62789\n49151 78137\n20861 48373\n89701 94511\n15284 72627\n23056 54622\n57663 66288\n18090 19151\n5590 79930\n27396 42211\n3398 5341\n13828 30133\n44601 77899\n76844 99772\n50468 59561\n56675 66887\n14002 27358\n39422 83087\n21185 68561\n59564 77843\n50240 82719\n84086 92903\n8809 56749\n50373 64268\n28904 33863\n29575 37067\n5085 96447\n33672 67205\n37528 52698\n77655 96423\n25610 30574\n8402 98678\n5178 86910\n12099 83253\n32714 38478\n57967 82976\n20501 87137\n7175 87723\n6804 11865\n87421 98771\n18811 36301\n5923 28018\n64781 83459\n60455 97641\n41426 95921\n13973 36433\n40525 96310\n67768 95511\n15114 34064\n15190 66730\n1216 75645\n40932 64108\n61937 77014\n29770 76364\n77024 79853\n52744 88803\n9853 77764\n30482 62272\n25233 84205\n30208 86922\n39873 67413\n23156 78559\n41652 77286\n6200 55346\n43361 51207\n2311 93514\n7089 31056\n41170 75955\n4083 26397\n2844 90910\n24656 74030\n31034 84303\n29567 61830\n49474 72175\n23478 67906\n59843 78484\n28019 75524\n11492 47432\n2616 93932\n37113 50120\n55821 67843\n69445 72192\n21884 84421\n6249 55858\n79675 94801\n50618 68980\n48636 77553\n42361 50074\n6513 49991\n35756 56634\n5864 27658\n38126 63121\n36823 74911\n83981 86209\n30019 40669\n44231 54050\n41095 88629\n65010 88494\n39490 48187\n14243 54124\n24055 79756\n3254 14025\n487 26913\n18423 55137\n34280 42255\n22456 45723\n34049 95578\n77992 86468\n36461 79572\n67073 84847\n5999 28474\n25661 30259\n12842 64998\n11896 30952\n15513 91213\n18979 24643\n18998 23524\n28288 90511\n35178 89807\n15658 94448\n71952 91985\n24922 36103\n37724 48525\n4770 28357\n26673 46530\n10427 86294\n60929 95307\n23414 96497\n32166 76352\n39720 41918\n15784 93712\n29163 95861\n81341 96457\n21637 85651\n63369 93528\n63859 98032\n13189 85107\n8150 61152\n15462 36756\n76946 83065\n45907 58455\n20158 34257\n39775 85421\n48169 58055\n17531 57368\n66963 96783\n24807 98376\n2907 74745\n6352 87367\n62801 65023\n1686 62482\n58571 62803\n36251 58710\n21718 47164\n43784 75068\n49529 49936\n12652 13841\n61040 80625\n76044 99223\n20048 42440\n83731 88293\n20052 30657\n29811 53654\n15754 36724\n41200 61764\n50540 64192\n57613 64677\n37451 47230\n2782 92173\n20809 88745\n20757 72159\n89526 94026\n21242 61372\n26705 31854\n4827 77672\n39753 48312\n2529 48668\n31997 51691\n783 42350\n32950 68025\n25498 99201\n36033 44351\n55318 76447\n9451 14120\n24689 51937\n10603 73322\n37488 83832\n1097 81063\n42234 98119\n19984 36554\n19936 81931\n7472 35889\n30303 54024\n2476 36688\n49183 62031\n52415 90645\n10731 34420\n70154 88775\n9116 96669\n17856 84066\n52058 79046\n9429 46275\n58744 90686\n40202 89719\n2576 54621\n55970 55986\n47089 99124\n72910 92737\n27470 31083\n2116 49311\n51282 60899\n67191 94121\n21160 89400\n15414 60470\n7556 53973\n5261 12963\n71106 82966\n70147 78382\n10269 11142\n34202 42360\n26514 82664\n26927 92440\n22226 34849\n17125 38412\n10224 54933\n19984 65006\n66226 99641\n19284 90982\n29406 91072\n14608 84842\n15822 98365\n71024 89390\n11979 53706\n22145 62330\n34025 84140\n4606 52177\n66383 90831\n59986 94659\n81308 88011\n28098 67743\n68321 86077\n101 42557\n94423 98758\n14368 94460\n93520 93874\n51273 93342\n42872 72278\n8267 77169\n17881 76846\n33622 59712\n43666 56259\n12181 60118\n6375 36812\n1353 38599\n6123 70678\n7191 36345\n23633 81902\n34044 74306\n38166 80031\n2318 95049\n647 88642\n35256 39515\n15955 71483\n17143 26556\n271 96552\n82564 97198\n48107 66854\n68256 82674\n4571 8658\n4191 60882\n8270 60887\n33615 47337\n10186 72681\n16590 91625\n16287 28758\n21664 25969\n49182 49630\n40765 54103\n40686 92405\n50570 93788\n32197 35998\n70613 90862\n38406 74588\n74040 97906\n85802 96751\n80268 92853\n44480 70248\n66029 75587\n7608 98936\n83652 86247\n46526 78528\n33906 99760\n79031 94492\n35549 98826\n39714 99010\n63012 87095\n17745 49292\n5110 24942\n4032 16849\n27646 90505\n77763 77975\n33023 72027\n38646 99786\n5550 14727\n6991 21267\n16854 22356\n41904 83573\n35423 37618\n33782 43313\n29960 61682\n12226 49942\n49460 75943\n10716 72788\n59139 81005\n70562 95018\n26950 98224\n61614 81569\n6280 92146\n52155 62538\n1507 16314\n28727 56212\n21113 74506\n75516 90872\n88289 95187\n14654 98283\n35871 66694\n36822 52804\n44729 84803\n52418 78070\n3602 86002\n6475 64858\n70960 78315\n4473 90007\n16850 76700\n75281 81584\n17232 21066\n35549 81309\n25533 38066\n13223 28068\n26583 31409\n33035 57604\n9638 17020\n41109 46233\n27021 33741\n3379 94906\n88653 98750\n16821 21426\n1245 10855\n6695 13973\n16230 73392\n19972 98201\n18998 68228\n1110 32631\n47544 91091\n38457 83173\n64035 99771\n68426 84989\n7301 71975\n90039 95164\n42495 91404\n40976 67498\n28591 67656\n1010 79312\n1680 28632\n29800 86803\n46147 88461\n37754 75094\n18133 79023\n30912 62905\n71721 78583\n7873 34444\n59241 72545\n91554 92206\n56598 87883\n75133 96397\n49732 63466\n22975 28617\n22793 28951\n27814 56066\n44674 66683\n13963 47388\n16180 52202\n17163 74208\n1618 9182\n21919 90852\n30253 40754\n37786 73965\n39731 90705\n17336 64867\n9095 79332\n67492 88110\n19366 87026\n6394 88626\n58776 89449\n7152 11843\n5077 18994\n25981 79960\n95502 99716\n47311 94160\n2643 82508\n81845 88315\n11094 17499\n22913 88128\n26025 69978\n48324 68630\n52998 75207\n34072 44019\n3928 52816\n9058 27527\n17617 53260\n70585 76938\n60382 65763\n25515 49414\n16439 91128\n24621 38633\n3120 11580\n4880 57949\n90928 96552\n2555 84905\n70406 98200\n22661 68562\n38362 60180\n6120 34880\n20744 52577\n56954 62739\n50222 56861\n23074 28501\n42828 54125\n82392 98879\n46707 83982\n8695 73918\n90242 97117\n46911 59265\n9453 28835\n43699 58914\n4246 4573\n44404 79014\n48219 63878\n72321 73876\n27315 97180\n20658 45978\n55993 78778\n37246 48562\n41328 58393\n33586 61525\n16505 64574\n1706 80974\n38221 47453\n24336 30142\n21208 95238\n55183 91450\n39998 71110\n54607 72527\n25335 51744\n64330 66309\n51583 76530\n12125 48339\n49472 99981\n39248 74517\n905 92692\n14381 68569\n3536 75660\n70863 74994\n57147 60499\n48626 60056\n48511 87708\n19500 81171\n32610 42148\n3064 22322\n1389 96232\n34397 52301\n56867 76453\n54085 56633\n6435 66975\n12231 22720\n5139 93829\n30014 75637\n20811 81045\n6103 49382\n25368 91716\n10036 90743\n16524 34597\n3742 69372\n45201 86414\n75903 99548\n72242 74683\n66205 95032\n30865 89702\n55530 67229\n11125 33496\n46288 90962\n17258 90269\n11958 42871\n4530 97549\n47473 67311\n6224 31184\n76326 97033\n44538 91591\n25116 31266\n3044 76537\n1651 20870\n162 70802\n801 68585\n4151 26697\n80537 97130\n6891 15826\n58513 67064\n39213 69773\n33541 40686\n5286 52923\n7433 70476\n71877 77593\n19663 51953\n59404 69379\n10534 52041\n2730 29939\n65314 86159\n71507 84536\n4753 45631\n4334 48017\n3375 51306\n83782 86604\n53505 82792\n6310 50568\n10892 80327\n77427 96083\n13142 39886\n32646 40977\n80493 86041\n25238 86509\n23311 54350\n25156 95427\n83730 89781\n2341 81247\n13869 21243\n8224 25296\n19944 63414\n50636 81293\n714 67112\n55276 73894\n24276 32863\n63782 93521\n36952 48039\n15650 44573\n7899 57461\n20950 59452\n12606 41563\n9287 72362\n278 99279\n41459 69633\n92515 99308\n4685 92988\n45213 67102\n14147 14809\n5039 38607\n43918 68341\n59430 93480\n37767 43373\n54265 68589\n20320 45362\n40841 86714\n17779 79332\n9834 66337\n50199 73921\n7897 92065\n32150 68911\n37863 76540\n40702 89014\n52138 96168\n16200 78370\n60586 74427\n28542 41515\n19258 85142\n2302 72367\n9496 61436\n28880 53472\n48764 57123\n47758 80782\n23181 59497\n3598 21722\n21542 68506\n27906 74621\n3264 72020\n33957 57063\n19727 26438\n50086 80692\n14544 60981\n20187 48813\n81526 88635\n82911 91075\n8194 94514\n3857 9697\n21836 68904\n36036 36463\n22036 61718\n51814 55929\n35231 44922\n33471 57608\n20969 33737\n48985 56934\n70861 96927\n53032 74203\n1548 68212\n23409 84606\n67726 76888\n27452 29420\n21061 94261\n61485 79799\n75387 75528\n26582 60570\n9742 68506\n51375 78182\n16577 62751\n38871 65713\n39838 53343\n28860 86367\n65137 86989\n60793 83051\n34516 48092\n13480 86268\n35348 94101\n4735 36924\n71019 71574\n3342 93783\n30121 62768\n78159 83286\n49171 71308\n45377 94329\n5137 78930\n1182 72889\n6633 49022\n20562 41391\n22896 43440\n12201 91039\n26460 28223\n14320 33550\n24210 35292\n23671 48985\n51844 55384\n51514 51516\n44671 79598\n8409 21733\n40631 97880\n41505 60916\n25258 59951\n16599 65455\n21955 27849\n61303 61643\n74205 77853\n27922 52946\n51189 59456\n5083 58571\n15151 67126\n14216 53939\n23733 34401\n19892 53337\n32147 79746\n22390 48409\n8529 74003\n45329 75887\n24887 98194\n13744 13968\n59376 85841\n12072 44071\n8977 56404\n11205 37773\n38380 58218\n48631 70299\n2359 99650\n30811 67788\n68251 73384\n13446 62333\n32353 62568\n73277 86270\n61398 89103\n73498 73652\n24059 43291\n87696 97536\n55186 99731\n34922 70994\n25625 82662\n47895 65548\n27855 88794\n4096 59064\n3337 11035\n62319 95875\n96989 99750\n42154 93349\n879 51412\n49749 58153\n10329 58140\n6667 81389\n69221 95975\n17032 92217\n45422 71221\n18425 40806\n49390 52122\n29632 72295\n68037 71021\n62832 81964\n29059 79944\n35033 79348\n46739 85185\n6005 21071\n48013 88365\n43195 85510\n9836 80303\n8906 52576\n94656 96463\n15067 71450\n71972 92101\n20165 54900\n13981 56370\n17945 55608\n33278 55916\n60853 73359\n30812 79753\n4611 79566\n31892 71588\n69024 72614\n70772 77422\n65415 70696\n26372 82829\n38962 59716\n40130 81277\n37859 52589\n6060 50447\n13259 91365\n15343 69365\n26872 38728\n91911 91932\n15554 86649\n10363 76731\n71444 88977\n7449 46971\n45953 60007\n9956 13313\n40955 52881\n12870 74362\n33944 51473\n8786 71992\n36851 52628\n35889 64134\n57946 63332\n10900 75118\n11675 25681\n278 34605\n6879 60332\n33533 49154\n15515 53718\n66617 79099\n2168 38133\n27271 75094\n9107 48123\n48406 80832\n56487 64381\n40857 99971\n41351 77253\n44483 88440\n46423 74230\n43836 76823\n26581 46123\n66969 71726\n31389 80342\n9463 16668\n78545 99019\n76418 86954\n57994 79181\n45294 82256\n28437 83670\n10141 52188\n45995 51804\n30978 43161\n12412 93119\n20571 34811\n2283 10966\n29399 60441\n32090 96259\n5972 19928\n30279 98578\n255 61095\n46365 57101\n17374 89265\n4315 36357\n74905 97087\n11279 43812\n39871 56891\n54714 79652\n6317 12633\n22882 75765\n34176 48055\n55734 87052\n40308 63957\n2329 30896\n56924 99472\n424 87990\n16452 92168\n25540 63651\n49944 71669\n42291 60014\n30346 95478\n9437 23839\n27289 74694\n67744 79641\n27522 71181\n27418 89409\n25433 66171\n41034 50911\n29353 98179\n55714 61881\n75715 77146\n6631 90196\n63620 76268\n6472 7550\n37133 45583\n56361 90743\n8669 87423\n10932 17163\n54895 65448\n8003 20846\n17580 62880\n17874 83644\n77504 98015\n61397 67658\n17012 21392\n1847 24195\n27628 39065\n36707 47395\n62528 63560\n20528 64741\n974 57056\n43463 65260\n7415 49857\n9933 98871\n21371 24128\n58239 88234\n46924 74581\n48286 86467\n8173 98236\n56233 73036\n1854 54190\n58072 75594\n33213 34882\n26729 28527\n23666 59217\n46753 49836\n20866 43668\n14686 42620\n6441 24487\n47066 68291\n39135 61328\n52280 69980\n57849 85558\n3636 51537\n43987 65860\n48530 63240\n22721 91456\n2782 25788\n5124 25538\n49195 93335\n47185 58950\n13885 45312\n75887 94169\n64982 96466\n23848 46018\n12716 65041\n15477 60309\n12221 16408\n67683 86935\n29317 39667\n84274 86017\n50011 90429\n9894 11092\n2746 12811\n29948 89843\n50495 59221\n2403 5614\n52961 77441\n65548 78218\n11520 21216\n53167 73966\n15368 81126\n22413 83670\n24156 77141\n42318 59028\n43874 91917\n4850 31367\n31384 48253\n48514 82937\n10917 29482\n9389 17161\n29874 46992\n27285 53524\n46614 47714\n7796 98949\n40829 96808\n6868 49280\n42423 73908\n26199 99939\n31662 34988\n92698 98881\n18778 63297\n88245 93370\n25321 81629\n22651 97366\n40236 66972\n17534 41736\n10527 96996\n6062 57818\n47722 64577\n18517 92981\n38300 88364\n40519 64775\n4646 77050\n77872 89033\n54549 94121\n39304 99960\n22169 52385\n3315 34665\n53411 63675\n20546 89625\n4019 62650\n3081 64584\n74208 92508\n55241 94005\n1325 1741\n27869 33384\n89425 90082\n86629 87141\n31759 58237\n16872 75813\n18734 26753\n69462 74758\n53611 62700\n8856 72366\n21687 45321\n53513 88547\n1476 70966\n10607 58120\n20853 23976\n1418 19160\n8886 24049\n20775 32717\n19928 59867\n11724 95960\n69780 84431\n10456 80560\n16903 83581\n8390 33357\n56516 76025\n78495 91121\n26929 53501\n4843 67447\n31911 99904\n39074 81106\n819 3713\n75694 79833\n69821 88336\n79921 92403\n16064 63496\n72495 89883\n64038 87472\n25741 96730\n54061 99787\n51505 64761\n62260 66808\n74178 94130\n25505 37861\n35108 40612\n78997 84727\n54421 84555\n23771 79134\n9821 50640\n38784 52169\n5134 27865\n16134 77315\n51656 56485\n1335 30486\n37889 55043\n5871 38007\n11286 46497\n169 76760\n57870 79378\n9466 55971\n56160 59730\n29549 36759\n57059 69058\n1872 57466\n10 22638\n18241 46199\n47456 52099\n20725 84692\n14679 85901\n13862 26557\n21228 26103\n5920 93498\n4393 80346\n46779 51382\n35598 54110\n70262 76754\n34789 99268\n13790 77452\n18544 26874\n276 23687\n58931 88032\n52205 94016\n12498 92928\n4967 54989\n16204 53884\n36808 47560\n62807 87477\n70067 78746\n10544 37241\n33761 95903\n60462 93678\n15748 59578\n20510 93175\n28244 44920\n42885 55873\n79456 82869\n5957 12457\n51789 83435\n34268 47416\n69497 98670\n62899 74845\n69800 96365\n11415 13716\n79567 85585\n67743 68741\n35033 65208\n4868 37623\n14454 46633\n42810 57502\n4871 73855\n39623 58906\n1277 17365\n67345 81063\n58048 66757\n4548 29040\n15544 15968\n50228 87213\n58051 97930\n7293 24459\n1281 47812\n4339 16163\n10003 65390\n58338 67344\n18173 48166\n19229 66819\n41296 58777\n16243 95188\n32365 72309\n8338 12158\n62968 64930\n30997 36570\n8682 21203\n37166 90143\n1415 2445\n46824 85307\n57133 95944\n77010 80655\n29164 48518\n2507 2901\n4536 56963\n31020 96709\n23566 33207\n17520 47054\n16840 63323\n47486 74964\n3394 53106\n16393 18192\n13231 27024\n1276 12273\n15231 36847\n14374 44450\n75712 86920\n41128 83956\n43598 71911\n27753 55782\n7482 42906\n20366 51207\n11551 60777\n24677 44392\n8493 56829\n18312 67130\n29855 50992\n5739 66713\n65403 91542\n38444 44601\n9950 58650\n59961 89214\n66686 90926\n88380 92997\n49677 90235\n42004 96337\n9255 90204\n13864 75380\n68748 76958\n52296 88028\n67295 86790\n51413 76709\n21154 74849\n77979 90820\n13672 43120\n21986 79060\n3074 9105\n4207 59137\n30832 31007\n44975 99849\n25678 41018\n21456 28047\n45813 71335\n79363 93036\n60615 61682\n21462 39737\n37943 87744\n4651 92027\n12348 89648\n15885 32784\n35418 42418\n2120 43162\n86927 90666\n32716 45274\n5764 71023\n9349 23672\n50127 60878\n2658 12977\n47518 93565\n29243 41747\n1270 35803\n27418 92613\n1923 85867\n45960 56984\n11683 31012\n68649 73619\n3884 74592\n55635 91451\n27809 50464\n55591 88801\n44341 61765\n27585 41957\n28140 81076\n18795 75711\n31877 79401\n83467 98740\n13751 27591\n5157 61209\n75555 80498\n19077 73156\n55366 76547\n70621 75762\n26866 46782\n9705 31745\n29077 32402\n33897 49811\n29324 99087\n23991 79032\n19455 24741\n41672 53033\n35503 59523\n11364 36682\n78181 91777\n10004 91439\n49158 92187\n19693 21404\n40586 85547\n65875 78872\n64365 74673\n2587 53081\n30992 43267\n54242 88779\n8655 87634\n53405 84650\n18511 88641\n19140 31293\n49009 75418\n44889 84923\n10728 61994\n46911 77665\n26920 83804\n26644 29139\n6242 76654\n39518 97418\n24640 70425\n39310 59623\n12246 65244\n23431 51460\n10296 58756\n36253 72905\n82562 99114\n76274 85857\n8146 69225\n41538 56472\n23721 46160\n52153 62014\n4029 12072\n946 31836\n10896 41132\n35405 80254\n67766 88405\n41612 99579\n11845 56036\n48639 52009\n18392 54685\n89623 96819\n59618 71893\n75726 94811\n29661 55553\n12079 21633\n22964 76163\n329 16039\n53132 93763\n53482 79391\n74285 86759\n59444 68708\n17288 95828\n57292 91417\n57688 84846\n7585 94119\n18477 62044\n8721 37497\n40114 77852\n26721 41355\n46104 61690\n6042 67257\n28842 79830\n40177 53479\n4476 58451\n8319 38518\n46149 70557\n25392 36000\n2329 28686\n11913 54806\n14200 81946\n3691 83087\n5815 18930\n5238 46648\n83849 88586\n15259 67211\n84295 94833\n17410 41758\n54097 78232\n61785 95337\n63948 96529\n21385 31233\n51138 72322\n24592 38789\n1636 34858\n79691 97916\n37491 75518\n353 46264\n36090 73436\n22353 61945\n41573 43634\n3644 68123\n22751 83059\n27880 91978\n18171 37598\n31008 89504\n22685 24915\n7156 89663\n22478 35969\n10700 14236\n3816 13938\n41836 93919\n15190 97167\n43592 85403\n612 7273\n15475 66703\n27883 99564\n3180 36024\n25254 39831\n21991 58948\n41214 92574\n12160 57688\n29471 43572\n71455 89758\n15246 48551\n435 22817\n5817 16968\n90744 94824\n75756 82337\n11348 99117\n26917 66075\n24573 82678\n16086 95618\n27866 60512\n39104 89001\n41476 73058\n92421 98999\n12332 64461\n11182 86457\n33354 81113\n2245 77784\n3961 90753\n30415 64735\n8437 50929\n43079 92202\n760 29363\n7097 47077\n32681 89147\n61886 69988\n67672 91624\n69483 78544\n22076 41637\n79812 83534\n35167 40811\n1610 44676\n40865 86151\n53404 97774\n1775 75522\n5805 19063\n80228 95827\n8103 95482\n8470 9216\n26005 48397\n64514 87810\n57849 74220\n49852 74491\n76333 86899\n4344 77327\n34836 79413\n27625 40506\n13030 46738\n37314 88307\n50528 78900\n95773 97443\n61818 85642\n1007 10532\n8996 37585\n90850 90919\n70335 87029\n6777 32224\n38211 87146\n8659 57506\n9685 57107\n8089 39812\n17122 59158\n16318 20421\n3392 31078\n51847 82852\n23014 62247\n40492 93359\n37056 97389\n51215 64763\n21648 75572\n51792 62343\n9088 73409\n51432 88118\n21790 58724\n3370 75421\n51132 80269\n75263 90161\n52038 92281\n59051 61006\n12214 60721\n30380 36637\n37516 58170\n30453 68747\n67721 96783\n2984 48650\n10014 25713\n15162 55376\n54811 57018\n9861 57696\n2231 7425\n68949 84652\n61797 85285\n6563 41711\n9986 99612\n30305 78731\n79569 87915\n70152 97456\n11683 73546\n69689 75672\n3814 76855\n22755 97775\n40896 63193\n542 95853\n3587 83785\n13658 88787\n7168 44699\n20774 89883\n41581 94581\n61542 83828\n1301 14850\n4399 30960\n490 81282\n8133 89847\n89419 98952\n9352 24210\n40068 88249\n52449 88912\n42025 82965\n31325 80737\n67376 89153\n22880 52499\n39773 46998\n48402 92865\n32987 44820\n13741 87244\n34760 79412\n31242 49724\n31068 76025\n415 48091\n20417 76505\n21513 63154\n40075 57408\n17882 74384\n62533 63338\n39704 93389\n49812 72541\n61660 98519\n74565 89567\n34242 72416\n19285 99426\n5041 23125\n4344 16739\n13565 95332\n61818 93240\n11978 21652\n19416 88902\n10680 28554\n2191 73028\n9531 91470\n44318 98993\n64235 96980\n55596 56738\n6828 24891\n54543 99323\n81144 85407\n80150 94340\n2143 40976\n23419 39834\n2090 18817\n28168 71173\n8980 19793\n50394 67782\n15607 53823\n33676 79032\n9150 52618\n20918 65004\n18481 32549\n41320 75755\n15393 37791\n29050 48783\n83838 97381\n25596 50868\n31304 46997\n4046 79626\n37113 58795\n19968 37958\n28297 86659\n37032 66873\n51847 69077\n51078 64024\n81523 81983\n38386 94811\n424 45793\n32708 49937\n75470 77796\n15070 47428\n58965 60963\n30305 61809\n28071 35221\n15065 55897\n13573 91970\n77023 96855\n22741 29089\n59286 69328\n22547 58958\n14027 43398\n30353 80496\n39803 51371\n35274 90599\n25141 78580\n62159 73526\n10507 27015\n5134 68096\n41300 66650\n12774 50496\n14198 61150\n20465 82290\n7258 14201\n775 52396\n77781 85633\n269 65446\n11817 74010\n23741 84237\n80094 98689\n17640 95559\n81494 99821\n40588 72567\n45282 88383\n38614 51704\n64620 72188\n50647 67931\n93413 95759\n74104 96962\n31180 40041\n35265 80325\n33409 37867\n27073 94469\n37919 64886\n2377 6840\n78381 95177\n50219 83546\n25270 92410\n69496 91086\n67701 98902\n53836 69203\n761 45085\n57497 76322\n59456 65512\n44560 80210\n32860 93826\n71908 97329\n36287 53689\n15746 76560\n63776 79833\n13846 86057\n18509 69200\n47902 49174\n64858 81872\n9732 20131\n14256 57563\n54816 91385\n52396 84017\n82929 94898\n19374 27341\n41344 56743\n38647 86183\n60257 65445\n26140 66919\n38668 60204\n306 47506\n55610 95151\n37855 57183\n27284 70473\n15184 51521\n40297 90102\n62785 84313\n33117 47046\n50156 82439\n25301 69889\n28021 78191\n34086 56827\n48658 72175\n30721 42945\n84204 92161\n43275 46183\n34802 56407\n8013 92903\n3802 91854\n7618 56684\n25624 38434\n52875 68553\n824 60901\n4167 20215\n1270 71927\n85714 98807\n11054 16332\n59207 92185\n51616 73797\n41481 49477\n67801 93163\n76935 98058\n6572 83950\n16195 33245\n9468 10795\n39278 69943\n12057 56115\n55811 66639\n2941 85471\n76851 89699\n24285 77229\n40298 72130\n82718 89171\n41261 80369\n24161 95263\n24348 57704\n17557 61290\n54917 87908\n52142 59948\n15131 62817\n34704 47647\n24109 66908\n65745 69394\n50625 89507\n52081 84810\n15415 84138\n81538 94446\n87621 92557\n50105 74684\n70479 79973\n67865 72587\n12251 54286\n19098 22454\n698 93994\n66884 84756\n2113 31896\n4058 80666\n75085 87844\n9082 77333\n57498 85389\n53816 59422\n22997 40351\n33796 59009\n36714 44564\n42979 72293\n6643 88806\n38551 94255\n12983 72632\n37344 53575\n31113 40230\n75933 96731\n84227 96462\n65240 98696\n62187 77816\n61513 91976\n11729 65181\n54651 75178\n75598 78427\n11879 92553\n59342 91641\n7922 28705\n7390 13480\n38117 96964\n56056 63494\n21754 73050\n18725 36206\n46012 66395\n6269 89002\n33472 95630\n48139 92563\n6427 7955\n18684 33228\n2894 45424\n11281 20750\n6923 41362\n45718 95102\n68069 94243\n86579 97645\n8618 59007\n31990 38185\n49381 53194\n4242 41578\n1501 35977\n69072 86129\n28748 98495\n6399 61519\n1459 30676\n52363 56404\n44 53895\n20737 53914\n13821 77247\n29706 72360\n123 6779\n29003 42505\n45876 69590\n9381 70443\n44380 84682\n29707 70906\n52639 58305\n44241 52998\n72656 93519\n6914 29426\n12654 22772\n55174 69763\n16029 24223\n15447 26319\n54375 95208\n46548 57155\n9834 94213\n35768 47438\n26149 60834\n13193 48060\n58515 83052\n7391 58306\n94040 97378\n39528 55904\n59894 74948\n27996 36417\n5208 47572\n59989 64310\n83090 97225\n22941 46161\n72916 75724\n41710 54849\n69117 85475\n13494 78018\n2306 17026\n17602 91019\n17865 67462\n73589 92968\n302 93980\n40660 96651\n35040 65895\n45397 88253\n13261 28567\n23467 26652\n44390 71328\n2872 17295\n7596 57574\n46896 58361\n19152 36106\n72245 90533\n7921 77217\n33738 89820\n25147 63903\n3111 52370\n87487 99644\n62060 94032\n26645 72331\n11734 49828\n15029 21557\n288 57436\n25028 25904\n81198 87147\n37872 81927\n38801 87025\n35821 78035\n1456 2143\n52185 68596\n48936 65520\n30701 81751\n55643 57959\n68239 73224\n77082 80343\n5394 54274\n32373 61257\n15422 93392\n60178 78403\n3111 90285\n39460 40567\n4576 23692\n3109 58856\n29630 43865\n25270 36758\n31816 38643\n16445 93491\n4444 72936\n45927 51142\n76946 81664\n16966 32095\n11452 16381\n8702 18794\n26250 52881\n22339 68578\n6973 9865\n83274 86770\n45192 58525\n74281 86622\n24343 54327\n52839 96327\n3439 33916\n65493 81878\n21084 89778\n82170 96062\n38549 77685\n30053 83841\n19919 21082\n59954 69778\n27052 73775\n42259 73844\n55276 93395\n4821 85402\n17874 97312\n51749 56497\n3406 11012\n60980 68695\n64234 82829\n46547 58537\n74557 96710\n8828 64060\n586 35891\n23858 34721\n29599 73573\n34413 41084\n36201 37682\n25124 37630\n66689 87666\n55857 99164\n15378 65402\n52837 83705\n1858 27865\n9105 84212\n9564 97212\n6173 99247\n47114 78840\n35156 48426\n3338 72294\n77266 92462\n46542 98656\n21419 98667\n65973 66211\n55899 72340\n66610 83633\n38842 88919\n57692 88264\n13316 17882\n63651 82490\n31023 55409\n55786 95779\n12359 29195\n46237 55971\n42868 45366\n39835 87759\n18084 50325\n15403 32623\n17344 64041\n7020 72345\n29780 67557\n17476 37127\n23667 33522\n40522 99376\n24444 87247\n125 97547\n76225 86362\n57987 90386\n40333 95797\n51737 75935\n22594 56727\n9495 39842\n49973 50188\n22162 59255\n6332 11776\n61698 76271\n43794 71462\n3185 53960\n54953 93641\n1217 19913\n12273 16828\n30294 97827\n58422 69552\n47360 88274\n6608 74501\n35460 90594\n61561 65834\n77406 92781\n47764 73761\n25231 40308\n4995 90625\n5440 57976\n54458 63808\n31233 62055\n7879 22030\n23132 97417\n61079 68878\n10715 29108\n326 11527\n13256 95367\n76130 93218\n15321 32309\n19049 90915\n10152 77453\n36275 75774\n2121 68015\n59009 95505\n24943 87984\n664 49174\n75320 86791\n3537 38456\n3250 39619\n44068 46334\n89691 99395\n77363 84587\n26136 92748\n13010 28969\n14163 71859\n66874 88735\n7693 20547\n74424 85262\n46890 93711\n1113 89875\n49414 83597\n50544 70521\n54979 93617\n74 94266\n22816 49102\n87943 98815\n82853 87069\n4075 46930\n16565 77598\n75038 88156\n26413 36474\n30254 96701\n2945 34923\n45232 54106\n22808 39127\n25570 84435\n77126 78971\n12833 84390\n62448 71276\n2372 90357\n22186 40814\n58988 97740\n6448 17379\n20612 38932\n47383 67097\n56524 77208\n74072 97918\n36472 80553\n5401 96463\n14747 82480\n53469 69639\n21019 70196\n21872 40595\n42384 97690\n1783 34395\n4401 62486\n39713 53330\n67494 83044\n48350 64897\n75205 99365\n38372 67310\n39581 75051\n52125 63888\n21942 30870\n40526 91444\n68 53423\n13029 76341\n60573 71004\n5375 77445\n13114 76153\n204 61505\n48023 63148\n17291 77458\n480 43104\n23175 26688\n38083 52021\n9399 72793\n22492 31384\n6799 71921\n12882 40428\n14536 47462\n22678 45126\n21523 29485\n5391 56814\n23594 90774\n25683 46408\n10444 79151\n63911 92904\n23036 79165\n13696 44678\n24203 65782\n8402 44310\n23238 82751\n32017 49706\n56659 78859\n2778 31764\n50298 66133\n78697 91840\n2960 51489\n31749 49551\n18006 18435\n15936 37885\n3946 62381\n72250 98186\n28917 60800\n43665 83774\n66883 99706\n28819 42687\n23113 42509\n48381 71047\n70407 73510\n77671 82689\n43404 66653\n7421 65653\n41306 42873\n34339 86356\n47413 85636\n57125 83913\n46094 50739\n24925 63977\n938 59445\n2234 82391\n42202 60178\n28975 92687\n13302 66922\n12838 64172\n21357 32986\n6328 29129\n25010 59677\n37497 81857\n15705 65004\n1821 42740\n14668 25003\n76328 96621\n17753 97838\n2161 75424\n57285 68155\n36835 55503\n40824 61194\n8492 72149\n10852 31148\n29292 90367\n20579 59231\n46336 51597\n33174 63018\n79291 86567\n56419 73234\n21280 74614\n13317 37686\n58918 88392\n28062 63342\n2153 55893\n17251 86136\n25197 98997\n11603 51488\n66516 80503\n56479 71186\n17732 90405\n28418 91297\n25184 85815\n28918 89096\n29341 44126\n47048 79685\n55879 70213\n22334 82908\n30194 72399\n80001 88537\n22932 39514\n20171 70815\n31648 38057\n53601 85979\n14350 83962\n64571 81491\n22673 80544\n10035 18209\n21302 26357\n56241 97303\n64388 81173\n58932 62508\n17212 25361\n35825 48856\n77569 92326\n55701 99147\n4256 60011\n37826 71157\n7545 26334\n24009 27475\n72982 85636\n38004 55268\n49683 65363\n18644 54946\n12111 61131\n725 32463\n43106 48419\n76745 86316\n22673 76945\n5709 39853\n43025 94311\n29061 30578\n43061 45089\n67653 97487\n25516 35619\n76812 99781\n38297 60646\n3343 72744\n55768 72111\n41187 74083\n42556 76595\n13009 78595\n32249 84215\n54948 74095\n91246 93424\n53891 79081\n22649 74658\n30832 81578\n83349 94216\n48234 61873\n8794 13903\n32476 87622\n43466 53777\n11464 37933\n39318 81881\n22485 91940\n48398 60743\n2082 29604\n37368 87573\n51476 68897\n59204 81396\n26637 95350\n19012 68866\n26345 83884\n7245 13740\n8670 68821\n73888 93344\n929 67813\n78487 85907\n86809 89284\n3161 81365\n51049 64458\n37465 84033\n31873 96053\n25568 83741\n20874 90680\n43471 76151\n65005 70889\n24387 67433\n9862 90456\n3412 29063\n59337 71644\n60469 82864\n48336 87441\n5243 16853\n24198 97851\n23960 53788\n21651 50491\n8840 68135\n6242 43127\n2856 55404\n9090 42176\n18575 95356\n31410 74992\n30701 70870\n22888 61593\n587 75823\n47274 95508\n1723 61868\n5875 78126\n5283 14005\n16765 17343\n16742 59116\n29644 40740\n31061 44311\n15253 78127\n2113 51684\n27544 52570\n31433 98650\n33242 85005\n58913 63791\n80331 89305\n65481 75865\n20579 97659\n74645 81152\n61002 74957\n65211 91709\n63735 91328\n24630 99501\n33670 52494\n22972 53342\n14138 28551\n29934 85341\n44446 85392\n915 60609\n39309 77719\n21604 87831\n62104 91383\n91526 95014\n31734 99602\n680 45143\n38163 50190\n35367 35777\n18844 54989\n34436 65306\n32059 43308\n36842 45784\n60071 84968\n12038 17305\n3595 41756\n18134 59628\n39923 54486\n6310 58126\n28021 83335\n41982 61867\n82642 99147\n61018 96000\n55710 99406\n28939 67513\n16431 33582\n46333 93218\n65158 97249\n10876 87704\n38709 55473\n17735 64106\n84057 85230\n32713 64393\n25695 83012\n72551 94193\n21033 51713\n23724 39296\n14420 56969\n25991 55940\n9515 70557\n50389 85253\n85328 86886\n34552 96391\n90871 97471\n32434 80079\n44532 91800\n36722 52772\n43004 90950\n65815 69986\n58366 91964\n3321 29157\n913 35611\n40589 41946\n29502 68022\n83044 83113\n54504 57075\n29896 60221\n15265 27355\n28098 46316\n20052 51530\n14500 75573\n49220 63642\n15602 80152\n427 99566\n26488 78209\n5904 97408\n48753 84399\n10705 23168\n10839 42568\n90660 94760\n5330 43363\n2785 4502\n87959 99627\n32503 90387\n20789 67546\n11612 74016\n19921 68336\n82758 88673\n12008 96163\n59349 95579\n67679 82800\n6533 81934\n34348 39003\n66746 76431\n68192 89197\n72204 88150\n40473 51829\n50264 88995\n53179 96415\n26527 68065\n46486 98991\n32412 90944\n15471 69237\n13171 54977\n24800 89971\n10389 34229\n10525 87817\n43190 66738\n95970 96890\n88936 96607\n37664 58880\n71425 98708\n84683 90042\n11237 86828\n8337 69335\n1759 3944\n15008 41626\n51821 58206\n42897 54176\n74427 85489\n25865 49329\n74011 99658\n49091 97261\n38060 78165\n30851 96742\n53101 59100\n36364 63660\n39368 86273\n45057 62691\n78283 83770\n75396 76045\n60922 86283\n41167 71704\n46780 71758\n71646 83966\n82490 85323\n29988 96246\n80017 88920\n21684 43139\n50792 77224\n59386 67510\n6396 84072\n23134 82324\n49966 77470\n5366 93080\n56890 89140\n5425 47208\n10854 88159\n45490 45610\n64978 67521\n3288 9709\n18407 88189\n27275 45240\n27684 87922\n34263 57125\n8431 41064\n38901 79822\n18925 78544\n38925 52788\n54854 89189\n57952 61525\n27156 30074\n29510 43769\n13877 23493\n5571 53229\n49455 84940\n6384 17137\n41680 91627\n7194 19226\n39323 44470\n34315 83291\n29123 48000\n22154 31768\n1163 49016\n45363 97861\n11696 26747\n47210 64547\n25227 45343\n42603 55518\n12645 98274\n57349 92464\n50861 57579\n18274 45042\n22675 37471\n42966 72147\n27930 84988\n44335 52838\n31040 52831\n6606 48825\n1366 88260\n3761 54253\n43063 84269\n17773 24981\n32720 36985\n8816 86466\n29925 43808\n16728 42513\n44882 86330\n89811 95920\n39077 66780\n62582 91320\n7748 31632\n13682 60727\n30717 42516\n76156 88398\n21862 62677\n14463 96469\n65943 91157\n14673 44802\n10821 25035\n11271 48683\n59675 75529\n37653 72627\n8671 29015\n8161 93203\n43210 61499\n25140 51910\n86456 88469\n22541 32467\n1051 9170\n28510 50898\n15359 52795\n12537 58461\n3851 34197\n5457 84570\n61695 86860\n53473 89259\n11232 19560\n29397 77641\n65755 67238\n25278 92340\n6272 59068\n4458 15292\n67274 69214\n87005 96202\n59266 76525\n48348 90523\n63049 93163\n33544 40081\n11640 61651\n24265 47908\n23020 38714\n15831 78585\n8017 86971\n27969 70954\n51616 71552\n21238 33648\n2384 31145\n39184 95852\n16768 91856\n32498 33907\n40332 72686\n35540 73842\n48828 75322\n58189 89637\n47354 98787\n14334 28973\n31540 39154\n28896 67840\n73998 99007\n72098 90012\n67151 94073\n36003 76202\n48325 61609\n5985 18613\n21130 24370\n38740 58810\n32160 85203\n26864 57727\n35305 57001\n7481 99844\n576 55831\n5780 46469\n16814 76174\n27246 60035\n13954 55411\n23452 90970\n15761 70849\n5887 25913\n28971 37309\n24712 77566\n26440 86972\n13045 21094\n52803 72684\n74053 97281\n14953 45638\n37569 94319\n19496 77495\n30490 46142\n22583 50130\n54442 83160\n61251 84948\n13019 20739\n8568 69029\n1833 29431\n57911 77606\n23315 49724\n11689 18206\n53209 69076\n69736 83601\n37142 89195\n3016 63520\n61940 95159\n58619 81096\n31640 50968\n31151 86320\n57638 90589\n54525 86864\n416 78607\n38785 81713\n16756 60692\n16717 76181\n56131 73729\n35329 56547\n18955 90621\n76804 79771\n29389 51865\n36935 94899\n21533 41761\n18189 44413\n1485 98486\n55360 94228\n36666 51774\n40891 99909\n3772 9495\n5274 57215\n52850 64456\n67718 97702\n14919 23747\n5906 63182\n12716 65412\n4797 20617\n53671 72061\n40641 80240\n41136 69996\n6679 58704\n20798 80378\n17288 23985\n39295 65368\n38434 81037\n53192 94947\n41549 87064\n2159 20104\n38124 61898\n46493 76422\n22174 51449\n22778 64191\n62507 76230\n53606 96772\n1160 67124\n40515 82115\n40880 83954\n12576 42108\n23377 88626\n5878 14054\n15958 64323\n72419 88547\n32344 91189\n25757 49750\n51265 86531\n22954 35239\n42399 74293\n59232 67122\n68706 73217\n69404 78836\n67553 92013\n69594 86724\n37553 54828\n34225 53323\n28697 51891\n7958 61022\n42240 67512\n12500 43276\n10557 20136\n24674 36472\n31325 85540\n5881 86810\n16983 96446\n85582 93275\n30653 72447\n35526 89787\n70412 92802\n42402 60821\n12619 53694\n13647 83898\n13255 22698\n14689 78765\n56046 65794\n54643 98688\n11910 47525\n19164 29137\n10019 96794\n2206 21295\n38486 67592\n52742 79000\n83234 85647\n76150 78168\n1695 41444\n61195 64616\n7408 29232\n66589 98214\n70171 77597\n10908 75093\n2836 50270\n8715 83487\n6166 53080\n19466 26635\n81465 90557\n36377 89115\n12100 87259\n66535 93757\n36438 57732\n27968 37889\n13788 66317\n16332 95892\n12376 27344\n7324 52328\n9892 35940\n55703 73923\n61344 89007\n3622 5277\n71579 91397\n5293 12139\n41775 46972\n31700 78705\n42183 77404\n8917 71286\n54116 96044\n11034 16260\n74073 95933\n62480 72607\n87811 93664\n37984 43091\n90726 97461\n15853 73936\n23985 32258\n4612 62564\n63512 64207\n10275 67962\n23472 40572\n1576 34764\n39893 53620\n52143 66999\n2873 45136\n82043 85879\n62031 90739\n6446 74556\n42298 55917\n62899 92081\n19362 22162\n18347 60427\n39811 41482\n28651 80946\n12103 33173\n32273 75502\n13060 96619\n56436 62362\n61932 74871\n43286 55024\n24887 25134\n59451 84089\n34074 48235\n75395 96471\n48650 63847\n68680 78342\n62406 87260\n8917 23947\n10022 32042\n77885 94964\n36164 61927\n37608 71112\n32904 99503\n84858 86123\n77231 83140\n16712 20578\n67707 99318\n21968 86469\n43458 91621\n34640 73541\n46366 87687\n29528 74763\n13981 49446\n29184 65271\n39044 49163\n72693 80297\n7561 26662\n63584 93425\n65173 99045\n9289 31970\n31763 60901\n6695 93629\n44886 97292\n13165 32085\n28781 36336\n50695 56634\n46754 53155\n19976 31196\n10450 12764\n30100 91566\n50602 70381\n69906 90479\n45886 49920\n42011 44996\n30190 36028\n14318 43125\n31954 47491\n40445 99616\n39986 92882\n60794 80538\n48163 94542\n60353 83852\n35796 61178\n45820 91884\n61400 87326\n6385 82850\n19450 26664\n72821 86729\n30402 55376\n28847 78047\n1190 83852\n14472 64879\n35195 63147\n83755 94481\n33782 44852\n25170 75400\n32257 79984\n13271 68208\n89943 96795\n39545 57206\n5167 66678\n293 73683\n49111 72519\n31764 76563\n10930 58275\n79449 81817\n4424 4890\n17035 33439\n56558 95154\n32013 33643\n13461 56920\n52763 84224\n79287 89017\n1744 49733\n51255 97784\n67081 74275\n67425 78084\n17472 82978\n43588 44626\n45232 67316\n22997 58025\n30748 42172\n37053 67053\n45023 49602\n28894 98456\n24791 76845\n12493 26107\n40918 50700\n12982 37972\n4227 50840\n30022 84291\n3943 17926\n32895 36406\n28291 92790\n38884 74708\n16763 47751\n60997 94347\n51357 79942\n18195 64899\n55235 57112\n16439 86482\n5533 61371\n1360 93713\n20645 90650\n73132 75198\n64330 77534\n14942 83265\n23915 61032\n64467 74743\n19279 39579\n75062 91657\n3791 44367\n29885 36817\n13027 45363\n14300 84708\n42061 50029\n9180 56415\n13583 84105\n81343 83423\n38510 53667\n69634 96230\n19026 29186\n9903 83769\n13097 69514\n22893 92825\n23370 63065\n20546 99295\n50889 88203\n55167 63149\n29438 86358\n21869 93677\n47349 84659\n47507 56327\n45294 86097\n65133 79919\n51141 75641\n2341 98435\n24968 46740\n41363 88589\n14395 16266\n19101 81630\n26393 49308\n28566 43195\n5803 10902\n63183 80899\n59319 98539\n76244 93885\n34375 56467\n270 11023\n11237 53362\n17248 99377\n39268 74350\n17388 61419\n28452 63265\n17275 47971\n61805 81959\n44731 80652\n9107 27323\n27409 67063\n34976 39597\n40399 63021\n44511 91578\n3802 51236\n43189 56087\n27061 93255\n17638 48576\n18378 57208\n73295 99211\n18005 62299\n12802 75242\n3154 81641\n35174 69975\n31246 84414\n27142 33664\n49585 68744\n8489 99532\n8607 54213\n64367 75736\n48659 73194\n20081 37307\n656 91865\n88680 91382\n26 21607\n33296 66940\n8262 9868\n64835 90462\n70092 88676\n21402 78527\n19445 39947\n71324 79587\n28108 59741\n36753 78452\n2973 32020\n69887 83853\n30364 70603\n3080 52340\n63768 94039\n9790 20527\n53805 88568\n17363 66132\n34270 80854\n49800 62140\n31426 88635\n11984 33528\n18686 35137\n36495 66839\n22370 37775\n11621 37347\n14974 90726\n40566 98872\n10534 21160\n58315 97994\n52408 98700\n74109 77648\n70412 80712\n36810 53691\n21220 47678\n74067 95970\n68554 79624\n1009 89255\n16847 21932\n11894 30383\n3607 74232\n73370 94406\n5848 56235\n1329 40684\n13496 37793\n36683 45410\n33647 63671\n57854 60452\n49334 68651\n46145 57235\n68880 70722\n77911 92440\n21131 87445\n23465 62267\n25342 87381\n85652 88583\n64604 84509\n3107 35898\n84148 84672\n8703 42066\n21146 50890\n28483 37322\n7750 92322\n22217 77969\n53420 89457\n32782 36925\n9388 83194\n12027 94392\n20763 73866\n77430 86091\n38308 59576\n7836 95198\n12123 23903\n732 39711\n74476 78519\n31297 61232\n8212 56252\n19061 77251\n24770 80035\n49171 98212\n1200 3568\n8052 65689\n2928 59290\n28676 84027\n34292 56943\n7329 18147\n2497 99940\n72549 94749\n68246 84616\n64453 93902\n12865 47937\n16460 80386\n59595 78681\n3424 62431\n3597 65116\n14165 57027\n81805 87327\n85706 94846\n22819 30441\n3714 3833\n43809 86561\n22710 25788\n84426 98065\n7883 76776\n22816 50777\n45573 97236\n46000 57481\n51444 69923\n15409 68917\n6229 35921\n6183 35144\n42210 82571\n39303 56233\n33961 83650\n40303 50871\n19674 59775\n28070 55716\n24654 62283\n23967 36257\n2326 90453\n66971 83207\n42232 97815\n38868 91100\n4085 72891\n13262 64110\n54563 73459\n16530 23538\n207 20790\n10623 38490\n659 16786\n4764 35618\n6052 19155\n76010 77176\n32621 70354\n71641 96294\n9667 61136\n27358 75022\n86293 89414\n8846 76908\n21044 86901\n25698 46788\n48121 63015\n68557 86656\n7779 90787\n56977 81126\n3107 76250\n10848 75911\n42753 92423\n46730 58225\n12409 76439\n26047 36496\n12613 62366\n11595 85700\n40095 42152\n71248 86539\n36412 50306\n2735 79155\n69219 86166\n31961 46642\n4354 57178\n14538 90054\n679 74197\n33803 92157\n24776 90125\n32747 51800\n3854 65183\n16796 22117\n74522 88747\n58396 74446\n38279 79927\n5745 58962\n15871 71398\n44064 46374\n63920 84181\n44970 59085\n3005 27565\n1466 18741\n41252 90742\n36333 46891\n15658 36762\n4305 41101\n17525 64832\n47890 86086\n15476 49663\n502 1830\n56143 65166\n6294 61549\n85252 85991\n2520 71059\n38302 70758\n76641 87251\n18288 84287\n4408 48962\n20205 26570\n1955 55943\n10031 96852\n46785 68900\n29816 50629\n10078 33970\n46310 92748\n10392 38106\n59251 81022\n6607 10860\n21006 76781\n25353 61172\n60635 91027\n73333 84620\n41190 98530\n27522 54454\n22021 79149\n11596 17786\n33960 54764\n60488 63437\n13891 80241\n54289 56559\n22702 99242\n28084 87734\n69906 98251\n5053 33780\n49078 94502\n71338 98147\n30346 93319\n71643 89898\n5799 89247\n56123 64950\n73834 91356\n25013 87203\n52110 81948\n18468 57335\n49971 71634\n3586 13036\n23772 47120\n26831 92470\n45565 88239\n41154 45709\n40081 86099\n33001 72411\n57200 94960\n30742 56965\n9284 14790\n32727 60502\n18748 19642\n50706 89231\n76653 89239\n2725 62922\n8040 79428\n41606 68191\n31240 76160\n3700 80195\n6249 55195\n85434 96302\n25270 89409\n65704 91515\n11045 24135\n9415 47287\n77332 83437\n35159 38877\n3232 57327\n23112 98751\n18832 42505\n3732 69399\n88588 95356\n87235 91599\n56049 78697\n33137 53609\n41055 92714\n2437 31334\n14662 23110\n67264 85735\n73272 85438\n64244 86496\n14313 26390\n13749 79375\n8555 98529\n6897 23412\n68799 72824\n19701 31197\n16907 83317\n17638 75524\n15067 56205\n2653 20950\n13423 66147\n2600 11199\n2015 12643\n26033 29316\n15718 17475\n37854 98290\n43382 62660\n7682 81742\n48248 57904\n48634 57964\n23558 78628\n42729 57379\n23590 93166\n21466 73663\n10252 21533\n64879 70617\n23467 71207\n38898 74635\n18793 53931\n55712 69969\n9222 44243\n9238 51510\n5658 51271\n2354 16745\n22782 39810\n40748 79303\n46569 64448\n49426 92685\n5515 39254\n58888 88703\n48399 63793\n79062 82744\n39817 52356\n26781 69049\n2189 20756\n51931 96778\n14275 70487\n5318 62695\n12984 23126\n31040 66022\n53531 72151\n29700 61060\n2426 6547\n78010 89466\n35716 52656\n28840 77453\n12717 53313\n58522 89003\n19768 46995\n52433 60666\n7435 66393\n755 81534\n69975 89377\n64263 93607\n9297 57552\n10728 53483\n12355 74098\n8834 14491\n51149 57304\n14914 92333\n61676 98342\n18951 56678\n27746 66219\n24111 82669\n63938 99638\n24161 76008\n28108 29244\n40973 96554\n80464 97894\n18217 96239\n4782 96418\n75925 87873\n7701 89786\n23705 74499\n17310 26551\n66386 81931\n69730 82199\n43525 60943\n15439 25843\n7663 99516\n41616 89071\n89762 96055\n4090 49935\n31780 71197\n44532 72104\n5841 52305\n68861 93260\n18702 90198\n50785 53046\n17124 88085\n40942 41246\n3766 42996\n6314 89807\n51240 65516\n60558 89944\n9309 99595\n65503 83899\n40972 54766\n15651 49660\n28078 28728\n13212 35038\n35117 67044\n51417 81262\n9646 79768\n60162 98247\n70634 79953\n29726 32564\n13732 37081\n41008 79455\n27446 52384\n23643 82688\n74724 93157\n18325 74507\n25285 34621\n27294 28428\n10145 50752\n55256 66587\n754 18403\n36036 69617\n10301 42132\n30149 43023\n39396 86449\n73008 89503\n54780 73237\n7999 11725\n2381 87913\n70356 75736\n19147 44983\n16719 22000\n10845 87114\n10952 85323\n29764 94786\n60440 86010\n50760 58051\n45368 89198\n6749 56392\n11821 37567\n8498 61368\n52161 60704\n37281 42209\n46643 75224\n26123 78926\n39962 94090\n20726 31381\n7190 15080\n12789 62393\n73269 83774\n17850 67900\n30968 65053\n25709 86500\n40308 91582\n8139 27705\n33091 90131\n76502 89141\n13666 39911\n33136 93294\n485 44310\n55520 80754\n9887 65928\n2035 3667\n2155 17447\n2821 47547\n83259 93000\n37075 37252\n1788 55784\n78149 95223\n26683 53983\n12135 79664\n26199 47043\n24353 25590\n40599 69680\n2820 57475\n27251 44939\n712 88896\n18152 30908\n2100 16392\n2220 7806\n21494 28658\n41359 68425\n26129 55243\n21027 46840\n9914 14475\n55031 60196\n35694 84660\n80089 98366\n4056 28586\n52751 59702\n40633 79554\n27058 73812\n63543 96585\n8151 86829\n43126 76456\n60376 66332\n36226 51733\n14771 91092\n19039 95217\n7232 75388\n68707 89969\n90854 92277\n41743 57670\n4802 49770\n49358 60164\n22776 46661\n5527 59470\n14296 14891\n27808 79194\n66589 72801\n24020 64290\n24249 93186\n3583 37720\n20855 67137\n54482 66610\n61733 96955\n4642 20960\n5093 86773\n73728 80822\n41998 84045\n11924 95490\n26443 94571\n3591 93827\n30414 88879\n10340 97866\n13939 17527\n74392 95345\n28385 76389\n7500 58239\n60729 80994\n11857 17178\n27370 46317\n96757 96803\n33028 96516\n23278 57221\n6263 46151\n9034 11675\n50428 83463\n36881 38702\n1921 63577\n3840 20061\n78854 95411\n39088 78913\n25719 39188\n5002 79848\n23104 73478\n49761 68329\n37127 42990\n56520 81426\n43266 78006\n53254 61500\n58360 96080\n42901 81439\n33835 92368\n16782 55984\n49242 96520\n42538 68527\n30155 79188\n78790 80785\n15164 83423\n38551 91232\n82213 93463\n30803 50364\n71861 98931\n35239 46754\n58516 67878\n64858 82369\n5348 66382\n49114 55869\n48908 53998\n32140 38381\n58933 59900\n21228 80647\n31297 68437\n8111 40578\n70122 92739\n13423 34272\n7529 58592\n19076 41422\n5213 54602\n46570 94422\n17025 81245\n52014 87387\n54657 78139\n19757 71980\n31061 82062\n44022 94255\n28115 62996\n51995 63772\n15387 75594\n41471 71765\n54187 68136\n56451 99164\n43645 78920\n60350 71678\n11562 97515\n652 924\n23088 37836\n30352 89724\n24045 98329\n77948 84439\n77158 78699\n14017 29156\n81766 83267\n9786 43970\n25658 28404\n10025 44231\n865 49609\n30078 37289\n15259 91337\n4742 44667\n4941 30547\n7292 65633\n84380 93394\n37330 65033\n89740 90849\n17561 99454\n45136 48249\n32145 81011\n39228 39277\n8428 97355\n671 41057\n10575 91264\n6869 79027\n573 56068\n4952 58447\n4784 75456\n57985 91721\n31338 75601\n8666 38410\n8200 18232\n27304 58263\n69062 96633\n22360 67168\n79756 94685\n37036 80398\n1527 16671\n13269 83193\n59773 80654\n84399 86522\n531 89693\n41079 79390\n38804 49834\n45037 74390\n56601 58099\n45637 51443\n64561 71682\n15887 17710\n49557 91520\n40006 68200\n27193 93284\n11265 11363\n51489 88621\n9286 98893\n31589 65605\n11834 60511\n228 74792\n43999 75375\n83429 97849\n52529 64567\n3886 78642\n17701 43048\n42108 54563\n20664 69911\n77217 89092\n14526 68250\n29809 68714\n44120 72319\n5169 7624\n33148 33481\n17321 85957\n20045 70992\n23947 57550\n37751 99292\n8256 54956\n14840 27105\n18042 96233\n49299 65295\n45858 99237\n7687 55614\n48752 68208\n19564 78391\n38279 42687\n38230 57724\n41929 65204\n22669 71455\n1404 17142\n59601 64442\n9313 60171\n21965 76771\n48132 84482\n65903 76467\n75158 88101\n14162 25785\n52680 65256\n6033 6297\n1084 12617\n45138 48894\n39288 93876\n7885 9710\n2669 73235\n54254 57000\n48768 72970\n10513 17850\n37245 62476\n10204 60644\n58245 70687\n56783 81537\n44264 56761\n17328 74543\n68771 90161\n29266 42562\n65324 92791\n52301 82010\n77868 87412\n40523 75037\n17660 97526\n55167 79391\n25895 54317\n67565 85872\n74552 94817\n37134 90385\n30895 85789\n44306 69752\n3063 63990\n46740 82365\n12760 59931\n24876 34842\n16522 99986\n4470 5716\n11864 68046\n94486 96998\n17440 95380\n23560 75036\n6567 12379\n51996 67147\n2789 32194\n46445 74656\n30180 54654\n47217 57346\n54020 55186\n8538 82341\n22335 54078\n9101 95846\n30490 70517\n8739 76284\n13717 40540\n39215 93015\n49450 95912\n15149 39734\n55078 72753\n27162 53883\n59542 72037\n24831 86923\n22050 87954\n64384 75814\n8519 43077\n58945 75201\n61401 79411\n32177 70449\n56476 75159\n34424 99442\n34416 50209\n11971 21689\n23822 75623\n32336 53904\n26904 57514\n7888 65869\n3240 53289\n38964 39470\n27873 60177\n48943 89829\n9680 40428\n76148 98445\n79080 87792\n51092 58935\n52848 54950\n7875 38663\n7701 76329\n60100 97902\n35415 85648\n30469 89237\n50786 81724\n13515 22190\n11306 47021\n73250 84490\n37653 72576\n2748 69794\n22761 38098\n79738 96347\n63838 69058\n34241 44120\n47553 56976\n80046 90736\n51699 86695\n75196 90043\n4866 28151\n50045 90695\n58885 81958\n13129 15866\n9257 98091\n46474 88030\n12392 38078\n39709 99364\n12997 59131\n9776 22188\n22114 85043\n32872 81166\n58946 61610\n6271 40202\n81033 95306\n68201 96711\n27591 28146\n11534 73807\n29708 96459\n55401 64843\n10547 99909\n6474 7207\n44894 80495\n8774 31151\n64701 67878\n59818 93717\n8554 96980\n15091 85493\n18793 87708\n13091 46142\n22568 36069\n29516 62404\n11131 64233\n3624 42046\n34452 72589\n61071 89561\n66313 84275\n17240 74549\n35296 94250\n4881 15537\n66149 82734\n37228 51329\n20079 25480\n21875 96042\n64321 98463\n29267 42690\n11333 83062\n52413 89131\n63758 78588\n75375 78495\n71346 83825\n2537 17358\n32951 35441\n23905 71322\n41378 65015\n41553 59986\n65833 75920\n14393 95493\n33153 94825\n24094 98818\n10697 51794\n10236 69988\n23305 89884\n37365 72954\n16967 87471\n73815 77823\n21467 64581\n77438 81672\n25764 37985\n2901 94019\n939 57321\n41685 49276\n75777 89164\n60512 80261\n14680 67443\n12261 15117\n79795 83243\n33863 91551\n85228 93562\n13493 52140\n3898 20997\n12241 47982\n7037 67174\n87103 99638\n39630 43373\n12238 45133\n34031 74041\n796 76086\n77017 80824\n66290 87840\n20433 20569\n16439 60569\n31781 41317\n41061 74537\n81497 99701\n3160 18941\n46594 65519\n37801 86603\n41333 65243\n17840 79764\n45113 89485\n89150 96208\n68554 82301\n43914 75418\n16120 43063\n97985 99615\n22725 69946\n75974 82298\n70460 85199\n7182 8419\n35634 80255\n28514 58105\n6257 69118\n29882 88851\n19519 75807\n29584 67745\n7669 83431\n23176 71365\n16057 30472\n16622 97607\n65165 96035\n16299 78649\n67024 72998\n6393 66129\n51991 62087\n48452 74350\n12101 37517\n16283 41219\n69831 90392\n22938 72730\n12739 61966\n9262 87616\n33054 65963\n50692 85246\n18147 88801\n56707 92708\n22857 71147\n86778 99683\n16707 28505\n47562 73762\n50412 98242\n9804 45162\n39192 56990\n11208 65661\n56234 58588\n53571 60218\n44780 98371\n204 33944\n36354 93406\n26530 98463\n37778 53324\n40866 90778\n75179 88728\n41149 77657\n8056 78878\n64502 76283\n1266 13665\n5284 85240\n60173 83874\n65616 89661\n64057 71488\n15222 55596\n64657 75105\n80897 83112\n26447 77070\n49710 90428\n24259 71644\n28576 77067\n23745 93109\n27014 74227\n53902 63386\n51103 98924\n48505 62079\n45561 82758\n43700 67486\n53026 88168\n1421 34114\n1101 57680\n98794 99539\n76214 81936\n16770 98274\n24210 57293\n19982 20440\n50095 97849\n24864 70870\n12441 12498\n4966 46548\n64476 71365\n67782 81059\n22265 78872\n56329 63768\n58444 88851\n61510 66847\n17049 69000\n20880 99689\n1811 26149\n12043 17239\n5289 92093\n33242 47990\n7192 39428\n10139 42462\n61174 79593\n32229 96427\n29773 89914\n10396 44224\n75491 95595\n84156 94136\n65229 71509\n14696 82159\n2791 15470\n31274 42166\n19949 59684\n19263 91243\n32336 75263\n4912 56803\n18926 63316\n61879 87817\n61552 91672\n22769 48519\n55585 80229\n4865 96477\n84791 99926\n26051 71730\n81752 87634\n31247 61703\n1931 89503\n33438 39553\n15368 73530\n89864 95187\n29533 49642\n8779 89463\n11536 96259\n1959 59975\n49810 62034\n47348 56550\n19019 60772\n71268 92832\n20692 94385\n41382 59224\n44178 70003\n30906 90205\n48548 76606\n18714 67229\n32744 92905\n15692 27042\n28267 35464\n22209 43610\n51292 59231\n17704 49504\n38063 44961\n18378 50235\n4636 46000\n1454 77416\n47867 98366\n63427 75048\n23844 64029\n851 43128\n83456 94791\n16589 26652\n48434 58218\n16601 41370\n30977 41311\n20474 57998\n63447 69504\n13366 21694\n19866 52090\n36441 98984\n74907 92947\n52245 56451\n18739 74807\n74297 95870\n65005 67318\n25009 51910\n38313 90281\n35916 74760\n81002 97661\n86189 97337\n40546 67496\n10106 26975\n57339 59278\n31820 73689\n89867 91865\n43450 70564\n8953 13989\n14501 30726\n916 33004\n24911 72003\n9442 72629\n8259 19281\n12720 37235\n26149 36464\n55426 83880\n11742 42409\n46346 68610\n74131 76177\n33959 40376\n3706 21845\n11403 60234\n51179 94638\n51703 93715\n5753 59243\n24672 79773\n74153 89779\n51326 76654\n613 75388\n10197 79334\n35725 96959\n60712 78724\n15399 96647\n26962 55422\n40158 46717\n89298 90684\n17152 21094\n72708 90473\n52683 83985\n33295 67773\n27509 64014\n29819 48876\n8829 14378\n10353 87202\n9559 33798\n1316 10041\n40833 84657\n58225 81175\n38993 39620\n22588 88934\n27648 78718\n35780 87706\n80963 86091\n39705 70839\n18235 75559\n65528 75084\n14529 72165\n20202 74298\n14670 42951\n3497 26110\n15814 23449\n58422 75043\n33082 79458\n41325 41698\n50396 78885\n13485 81431\n87539 91529\n43763 51395\n9874 96867\n51817 80235\n37223 51650\n45183 98247\n45804 48971\n17491 57605\n9489 19418\n15590 32595\n35610 96732\n86369 98830\n33792 53132\n60577 78286\n36632 93833\n28873 45680\n33091 78585\n16246 58558\n18070 38857\n41843 92473\n53020 71939\n22861 76144\n18452 68420\n24029 45283\n35890 65890\n30629 50123\n13273 19098\n16784 27628\n37705 41047\n8108 82132\n53920 99986\n21144 61703\n45408 97212\n7149 48607\n8958 67884\n33370 45751\n31365 33871\n12276 36828\n7342 39591\n27486 40783\n39263 53188\n11779 37118\n20061 70781\n56789 69040\n2732 15445\n23156 82735\n32517 55733\n25258 34692\n21041 62691\n11580 98243\n50694 74384\n69998 82303\n13559 95253\n45919 46203\n9417 58617\n7229 17814\n78469 93390\n12165 80327\n8242 46877\n67256 75600\n43428 57484\n27113 46449\n43172 98558\n1091 67419\n15156 28294\n68722 94116\n19878 57447\n77836 91143\n56464 65985\n7229 31778\n34500 88069\n61000 90282\n14564 31402\n9915 46420\n13207 19028\n44490 61711\n14543 83153\n20999 76318\n68415 69095\n44319 56187\n23936 35139\n39618 60138\n25274 25284\n11996 12660\n32346 77511\n22218 61408\n27437 74897\n76604 99535\n46698 56070\n32382 38075\n14118 77242\n37117 38597\n42574 91293\n40984 61788\n3768 21221\n16890 42704\n34304 47473\n19708 27337\n24873 93587\n65124 72919\n56467 83714\n66383 74985\n17206 40609\n28864 34683\n3037 98166\n44107 48179\n37883 44086\n12827 14510\n43738 50298\n23946 24873\n87899 96589\n15316 47997\n16809 75787\n57138 88299\n10244 91895\n53966 84530\n27065 56266\n69842 96895\n1753 64164\n33577 96458\n24780 53717\n1185 27073\n41053 42758\n26559 38345\n4929 40105\n33052 99532\n80371 98280\n34384 66632\n8735 95999\n24811 31538\n6346 91279\n28830 64096\n7699 53304\n34999 51665\n17500 72233\n13410 60113\n46779 47899\n21535 27915\n44475 63434\n71915 90629\n1008 31399\n36075 83468\n9408 74651\n18189 82016\n2553 97916\n17027 81854\n9891 92063\n36369 95934\n22557 75502\n12054 56166\n15790 23237\n6225 71762\n19569 34678\n5478 61251\n90235 92147\n14822 16489\n30675 56153\n57869 68688\n40530 94067\n30368 37643\n30769 92026\n65787 73607\n12721 79756\n78540 83448\n44337 52095\n40180 84903\n50358 71016\n39112 41639\n70760 82262\n55746 93896\n30798 62888\n82552 92620\n22594 51560\n5169 47550\n16345 90679\n26185 39955\n1271 98507\n60590 88537\n55017 90769\n21964 36185\n20256 57527\n12331 72236\n24503 33877\n11340 93170\n60338 61224\n12839 61013\n24259 32171\n13391 90829\n78902 95129\n28369 72556\n47234 50405\n29239 94885\n37620 94213\n8298 10530\n64914 88869\n22190 51787\n20078 96925\n706 58756\n766 75829\n28443 32707\n25995 97622\n4813 37939\n5264 92098\n52531 99455\n60354 71210\n5824 78232\n59104 90612\n59327 88020\n3740 65045\n9999 53766\n67269 87944\n21515 76357\n6172 74160\n32950 84314\n30496 65203\n45239 99091\n73690 84420\n35990 56386\n32236 51751\n62681 77916\n32057 50619\n1379 86826\n47021 47443\n527 64967\n18594 64503\n9840 62790\n77144 86496\n818 82471\n46698 86592\n47339 78885\n17904 22038\n23770 47505\n51338 70322\n93204 93988\n32058 54470\n65184 97315\n4706 85668\n36241 72750\n18018 39490\n53656 82856\n8018 49325\n55966 84077\n28740 66073\n41794 82473\n45411 84080\n16085 32507\n12955 50588\n414 16370\n29274 55062\n61892 72545\n45008 57315\n45802 54915\n26232 47589\n51135 76991\n81025 94748\n57263 95824\n77594 87573\n5557 52989\n36099 90846\n34162 72290\n22448 79712\n44192 60626\n57224 71031\n5707 5937\n46566 72037\n42571 63539\n42151 43342\n22078 51889\n30110 97992\n76028 90548\n13639 66281\n5841 33173\n4132 11490\n29425 35829\n2813 79053\n58439 97341\n92573 98565\n49525 91807\n45981 49398\n30222 83948\n31270 86893\n40462 89156\n52322 95366\n14114 32587\n30823 67578\n36880 65157\n23105 34151\n26275 58848\n47588 52920\n71867 96910\n55175 55905\n20691 75562\n3392 57411\n25830 94958\n77647 78134\n59402 66926\n32737 39438\n4298 71509\n9410 23121\n69268 79845\n3660 57701\n22133 31385\n52025 69196\n75181 91621\n36383 64120\n18476 88514\n14558 66573\n26322 83859\n81997 90545\n13321 98828\n10096 56495\n27043 62336\n24575 88877\n81640 84007\n20745 29549\n9976 79116\n3899 46335\n11893 71508\n18322 88580\n58294 97576\n9179 14171\n32393 56752\n77168 81469\n47061 57769\n60373 65425\n11753 57613\n26456 68376\n12462 75144\n46225 72808\n24802 85402\n463 81712\n4385 81535\n102 8349\n25418 67970\n13982 28448\n41993 51046\n31696 32988\n68831 99534\n27872 83133\n53309 88480\n52593 64441\n18418 61096\n43465 89437\n565 14678\n55273 78100\n11184 99058\n2833 21965\n17367 43336\n55105 76664\n12956 24822\n35609 53523\n50014 89788\n59691 89601\n87954 89967\n35009 46402\n47885 91211\n3263 72772\n5425 99681\n36566 63483\n8951 49056\n77605 82360\n63646 80046\n56481 79557\n25795 94817\n12247 20919\n9550 92770\n33270 39053\n90478 97062\n80786 92465\n17602 70032\n84689 99869\n57424 67629\n4366 5196\n1758 71174\n23422 68421\n76331 93949\n26940 55399\n65326 83050\n77843 85188\n1830 12155\n5162 98262\n13159 77247\n84655 99292\n10928 35272\n5051 45715\n8986 13114\n1129 36627\n44036 69022\n35408 73362\n4373 68836\n2056 89705\n1468 16430\n2266 42000\n27635 65158\n44161 62499\n52541 95524\n85519 92465\n50269 75458\n1927 4494\n50340 74204\n2921 67510\n61664 62728\n9145 90806\n16530 76982\n51045 73086\n23324 51723\n23077 84007\n42409 48224\n16682 65218\n25867 68519\n15574 29854\n20959 49560\n60437 87113\n55894 91522\n40491 96315\n31695 62540\n82293 87980\n25714 82426\n65129 89634\n46803 94425\n40778 95291\n39140 53007\n34542 80430\n49544 70690\n58192 70777\n71298 97740\n54427 90772\n75363 87133\n13490 95110\n16671 23345\n81868 93685\n32111 55431\n54084 72966\n5005 27266\n6400 10083\n27789 40607\n3565 24420\n66953 75792\n15233 66355\n83952 94682\n59753 90166\n17680 58805\n73866 91837\n24274 71877\n34396 44560\n8266 21558\n11838 16589\n56156 93330\n33486 97466\n12537 14126\n4128 35031\n28026 87470\n43707 98093\n27467 84524\n88373 93296\n34139 73219\n69062 88394\n20238 34906\n24638 72346\n38550 96110\n70289 99829\n6406 31789\n12931 18877\n20663 73104\n4156 68973\n28251 74440\n48564 85995\n87025 90892\n15903 44057\n4855 33979\n29054 96776\n30122 99466\n18575 72106\n14808 71807\n25515 39361\n2187 44255\n66826 92177\n47951 75985\n71301 74848\n5055 20265\n1322 13940\n2337 33402\n55535 65689\n41141 94467\n86176 97473\n2501 92367\n8287 93301\n25864 80499\n16666 24437\n9041 61383\n20231 30075\n28511 65217\n16413 29207\n16868 81327\n41051 93697\n28434 31916\n36347 87303\n91776 95568\n33956 48714\n41424 94635\n16900 80056\n8967 87975\n7403 78713\n64774 70561\n27338 98141\n61543 93547\n27111 50472\n41972 70622\n17854 55437\n83429 88029\n57909 79918\n1502 95383\n35920 71289\n10939 39580\n14838 57948\n6944 86475\n516 27300\n36600 53826\n15835 83767\n27605 71726\n28319 82882\n40114 64053\n37876 66875\n16399 31247\n10942 43976\n1763 54634\n9212 39015\n72480 86191\n52185 52384\n3528 25664\n70157 87303\n23977 83930\n22613 68011\n34133 50395\n29319 69840\n76883 99391\n10143 27620\n33041 88871\n5842 36733\n61622 84815\n44601 91844\n55194 79221\n44381 68317\n77551 80177\n9065 18728\n16994 86251\n47225 79671\n15027 70683\n7683 29371\n64667 83949\n6321 6569\n61508 63483\n58025 67871\n30228 75936\n55701 88378\n9995 96450\n21933 34380\n42680 67574\n33609 50579\n64611 99017\n33977 76814\n55405 95707\n11532 97722\n12429 95370\n8399 28453\n18272 55180\n16620 80735\n54522 84646\n78079 81030\n27995 72165\n28960 32431\n436 11681\n61735 98470\n12627 38769\n59634 90791\n23776 36869\n50086 99337\n85941 90628\n14314 77356\n51391 89110\n2018 10176\n30291 91012\n22892 56859\n54088 95871\n15808 61671\n60964 74323\n37630 39652\n75781 90580\n37384 58652\n18267 84696\n11710 74208\n51519 85625\n9706 29452\n40852 67999\n31505 78714\n4745 42611\n5096 40830\n24045 44953\n42554 49936\n55641 66912\n53063 70971\n11345 15427\n79723 91951\n36042 68219\n28898 77562\n37573 46394\n1111 38311\n4589 20666\n59204 59783\n13748 34985\n46446 77184\n42861 78721\n28974 36836\n6767 23302\n6967 29520\n31455 96796\n56637 76032\n2496 96527\n43838 69569\n47729 73045\n47115 90406\n13713 82176\n68920 90323\n79230 91789\n7358 29912\n11742 84779\n37219 41099\n10190 20151\n30561 84289\n4273 46814\n27357 53940\n709 73971\n5523 41858\n14798 89694\n24560 58224\n4618 96675\n72524 92525\n42669 84945\n54595 91944\n191 83442\n47390 70691\n33730 65106\n41375 65316\n28357 68541\n48897 76510\n45197 50753\n69750 87964\n34006 63639\n4570 87319\n2059 19308\n35335 56652\n10129 18935\n52232 93534\n11915 12097\n49042 93329\n34246 60013\n41093 68788\n5791 32044\n66902 87281\n62804 92465\n43626 51961\n67678 83177\n24471 87692\n34344 46683\n19755 58871\n11391 23365\n90493 92936\n54607 65540\n7871 48550\n12254 47034\n35054 61315\n44070 78345\n27381 87344\n49152 68429\n64159 71913\n31769 47755\n75539 95979\n36745 93211\n64883 80518\n56961 62369\n346 39492\n62024 78253\n15405 58960\n48234 75239\n57358 59120\n37054 40901\n1606 57234\n22257 81760\n58228 75141\n73174 86151\n29698 30721\n39341 48816\n20086 31961\n40192 68213\n35620 57309\n25389 89071\n6789 8674\n7434 92750\n51776 90483\n21461 73483\n44237 93185\n56179 62630\n4150 79741\n3606 43600\n21726 59633\n31500 82068\n52396 98548\n4365 12748\n38415 73986\n20565 45661\n22081 90677\n19900 96044\n22712 65466\n8011 69657\n31594 55777\n22385 65411\n15122 75872\n11762 72697\n86666 94621\n41688 75329\n13828 97245\n46085 86504\n33877 48964\n62299 86355\n51110 96307\n41898 89592\n23880 97381\n39074 63563\n54260 74634\n35657 47319\n2543 68690\n20040 91232\n17128 58768\n31084 69264\n25977 28909\n55104 59277\n10924 54265\n20135 44685\n37000 84664\n5451 50202\n86835 89800\n6589 46720\n23510 96511\n11672 65522\n74378 96131\n4667 52397\n31723 46795\n22575 83060\n28666 37288\n38731 41606\n21003 99956\n34511 91561\n51001 98862\n49579 61797\n65951 81213\n43426 75936\n53856 75292\n12513 94385\n9536 62509\n15352 65985\n13596 24580\n38954 48225\n10598 29896\n9759 70921\n28820 55789\n9776 66920\n48826 98554\n26651 36291\n29441 65947\n61556 94675\n2551 59943\n23070 62689\n14677 75911\n26697 44977\n1466 16377\n40097 70034\n68815 97186\n20176 85266\n21263 73375\n11718 23502\n51302 54481\n53653 84089\n3481 33033\n7569 84415\n11597 76771\n36227 90287\n15497 36257\n6641 54133\n2332 97487\n12027 49124\n16312 90060\n54070 62297\n59868 66308\n14200 57120\n31146 69294\n12687 44834\n28795 87933\n47285 77170\n31291 77193\n31382 72520\n29843 33160\n10155 39952\n81750 92685\n65041 85383\n43101 60201\n73875 76236\n7877 70734\n41191 84019\n27445 98513\n28531 65215\n27113 30708\n16847 52272\n22778 75369\n10293 97545\n12094 96935\n13106 24559\n20429 84197\n3429 55906\n36836 41987\n4224 67154\n19576 67622\n2581 92016\n14551 25537\n84628 97025\n59256 66221\n50259 52847\n60135 96581\n20973 53456\n79444 99886\n73554 76604\n15940 40072\n65582 72169\n26788 57105\n17113 62597\n32076 91713\n7163 86755\n8433 46232\n87358 87908\n8489 61757\n56712 94249\n19774 26918\n19508 71120\n13160 66500\n53455 79602\n12832 22661\n1340 73588\n13503 32330\n67867 96213\n20372 73061\n31522 33515\n22062 98164\n21757 94761\n42595 94678\n17338 26918\n45381 66844\n71177 75688\n63928 83747\n19568 63919\n22472 40174\n17570 70645\n463 13971\n12710 39299\n3725 55906\n27728 39999\n11331 11691\n11076 87421\n84339 92461\n57546 67648\n934 49238\n36955 65798\n11779 70459\n48389 75108\n11177 83837\n70018 95470\n50153 66618\n10276 91682\n42279 73710\n76567 98120\n12007 41303\n262 44903\n16950 89317\n25465 75736\n25291 42292\n14984 61332\n64517 77475\n43838 58304\n20719 26563\n26085 45246\n25318 91889\n73478 92191\n25748 29632\n60943 83102\n78590 80914\n58657 61917\n53062 63310\n75255 75770\n66562 91434\n11198 35092\n28470 98633\n23661 88399\n34373 84755\n66340 68516\n19439 37456\n36723 73025\n49560 54522\n3118 62370\n28866 58538\n10496 26112\n22243 99281\n52659 98293\n16100 75515\n73890 98378\n22804 61496\n90657 97450\n43709 63812\n7041 16864\n73206 83799\n36425 94147\n53433 96873\n4133 55341\n35305 93607\n12530 26999\n34510 98827\n23379 64148\n34017 87605\n39151 56277\n55669 58241\n69742 81789\n17279 62486\n85153 92705\n60931 96726\n80089 84097\n2924 97895\n55137 98032\n41551 61878\n70065 74521\n43098 48997\n27238 80713\n15546 96720\n9035 45631\n8509 54937\n14692 20679\n34194 61503\n44323 53288\n49855 77470\n64477 78515\n2530 64075\n68940 99296\n15532 18736\n11754 23583\n12250 13951\n86613 98900\n25351 45614\n49025 60481\n16770 65971\n7793 92862\n28839 90208\n47813 77897\n18096 42138\n62203 90002\n25008 61472\n2995 22639\n1433 43062\n46583 67595\n84236 90409\n36508 82508\n34506 94756\n61889 71685\n13709 14153\n42979 51486\n24158 25683\n11208 15022\n14959 33025\n27207 43565\n28588 33522\n53968 95459\n35159 87035\n9031 70655\n5271 44368\n39298 73202\n13155 65897\n30388 58930\n58024 69296\n64341 97264\n525 34901\n4782 21610\n67093 68870\n75260 98818\n64319 91566\n8127 51954\n45151 97442\n57454 79022\n34037 91782\n9077 70432\n46013 47341\n48880 99159\n29067 31440\n25303 55097\n31332 80752\n31850 97139\n14713 33188\n32980 64022\n5413 17443\n7497 60066\n929 98667\n46585 64658\n43167 59653\n28871 80304\n40467 87053\n22733 28942\n95092 98132\n23813 44088\n11282 24340\n382 24982\n5176 98642\n57108 94036\n22736 54800\n10930 40981\n70239 91034\n16419 51791\n50344 69292\n5982 49578\n7145 86818\n55744 65922\n37291 44365\n26348 97681\n72165 81374\n65139 78541\n19686 84949\n56605 69641\n28623 31643\n40741 58338\n12908 57529\n32558 49289\n34141 61249\n89736 95391\n55813 70160\n87811 91878\n16652 31008\n50529 88501\n54562 90501\n54761 61126\n62261 79495\n87096 99604\n21531 37332\n1502 10380\n13244 25046\n7028 58003\n3519 26659\n30996 94832\n36332 38377\n21234 56416\n18160 55178\n50808 76571\n31327 64212\n8084 58275\n34053 46777\n50899 90210\n260 60446\n3715 51816\n63669 72274\n57312 57333\n2349 65020\n32965 65588\n51425 68458\n10145 96857\n2786 95666\n53651 68939\n65696 85880\n51294 52393\n16123 46038\n52108 65369\n47931 68885\n28720 43380\n46218 69590\n53355 78116\n64529 94351\n53280 97416\n90306 92242\n46637 50195\n45765 54325\n46029 61880\n35984 69501\n7009 23463\n19779 34228\n58536 93411\n54991 81666\n13446 40052\n15806 76072\n33943 44416\n4102 86560\n25626 90992\n66681 67082\n47120 60111\n46045 80106\n55894 90473\n12241 80118\n17056 99730\n47468 69845\n11825 75608\n3758 57063\n23357 73952\n14360 25871\n25425 58147\n30741 51708\n44951 93729\n16667 56555\n75745 79885\n8531 31082\n47941 50139\n9395 84965\n12884 43479\n6985 89152\n11971 30700\n69933 96319\n15169 89867\n49752 52921\n43464 79504\n15739 66621\n8192 87414\n15884 60083\n14067 51635\n45547 91523\n66494 97637\n30720 87013\n10192 98642\n49973 75011\n13535 28600\n73735 86264\n48693 71013\n10631 66904\n9740 95582\n5072 25703\n47509 50085\n24917 94081\n1422 71075\n63385 76247\n29638 60498\n18542 89477\n36330 92127\n38676 67224\n52957 80228\n21836 68447\n37663 52701\n10272 45728\n3868 63704\n14319 74749\n57159 70632\n13979 72450\n3424 92715\n50712 90961\n44677 50158\n43379 55093\n14371 84880\n33555 50233\n11455 51332\n46460 85008\n759 99460\n35406 45077\n67644 74663\n27615 41205\n93588 95592\n37713 93172\n13526 48521\n10844 54043\n49602 80897\n95032 96435\n4006 84476\n48355 94065\n15048 33782\n17628 90597\n61577 82724\n70967 74884\n89720 92991\n9504 30149\n16244 70265\n31216 81704\n37999 70574\n81790 97682\n16211 69870\n48960 92979\n20710 71397\n28803 34517\n21114 83198\n3172 62825\n41457 51616\n18112 59040\n11189 64334\n5659 95298\n41407 42650\n34115 73262\n50600 83925\n25277 83456\n54248 68901\n34223 91606\n69442 87037\n23202 72452\n38926 72070\n6605 70727\n32737 40201\n43939 62888\n5548 56232\n29118 94526\n20555 52924\n34998 42004\n255 10695\n13129 66780\n23156 47387\n61717 84922\n5264 39015\n47006 72674\n4137 77407\n17676 57032\n34775 98533\n6669 63257\n43524 51283\n12730 73625\n17105 81039\n12470 26174\n57930 84684\n10165 35179\n90060 95311\n72317 73802\n34153 52064\n84618 86509\n31590 54236\n42730 91102\n10391 62006\n41613 71321\n4853 54568\n3962 53732\n53458 53606\n11705 95809\n53091 62853\n79540 98058\n36211 37387\n447 86267\n72147 91404\n27383 60945\n77198 89922\n13764 23554\n19327 53871\n36369 84230\n43122 75140\n61616 69365\n74449 85698\n24580 81713\n17871 23259\n51795 76996\n6694 63114\n59833 89620\n51645 66440\n13819 93283\n18525 39615\n18399 32782\n71577 77221\n37745 56391\n37609 45021\n5174 57950\n26213 34589\n631 7198\n89466 94337\n9766 39266\n32024 49526\n18680 47529\n5460 67939\n24070 97723\n68975 75224\n46756 77101\n85081 95715\n71442 81481\n58006 58236\n30305 87112\n21868 96436\n34623 61842\n38110 80129\n65799 89799\n52391 84934\n33882 46173\n33018 85969\n53961 95615\n9772 55329\n44968 63533\n22624 29174\n13259 34421\n55385 85992\n36911 56182\n45483 94482\n19860 95342\n22043 60368\n15957 47342\n10069 20755\n16207 73289\n58248 62046\n77570 96979\n30364 65466\n28217 45897\n16527 60630\n47101 50113\n1214 8343\n578 14839\n33631 48577\n38634 92063\n30473 44191\n12915 16927\n28557 56532\n12206 54131\n6830 31927\n35948 58790\n44367 92596\n61973 98572\n89995 97822\n42349 80381\n5747 40821\n68916 93700\n57706 86931\n64983 80396\n35283 72803\n19583 84335\n4208 31437\n9689 23753\n10304 25848\n25174 71089\n25417 50395\n18134 78913\n29158 78573\n31642 43284\n38235 79607\n38198 42538\n31990 62338\n27052 81078\n20439 72896\n19449 86670\n12227 56724\n21602 90289\n11323 25092\n10618 94107\n38699 70881\n9828 75114\n43983 82621\n23126 77169\n33767 85982\n69679 88405\n40004 69401\n64895 70368\n4489 34384\n13495 42570\n16244 31606\n8081 84075\n19134 45864\n56920 95631\n79399 97344\n64698 70785\n3424 30704\n39757 54452\n12623 53971\n77218 96801\n17744 74436\n65430 96606\n55038 94703\n16552 51103\n32346 92228\n35108 38763\n59022 77208\n29787 43025\n5042 20681\n16468 76508\n6883 11499\n8819 55356\n49069 62030\n12979 16788\n66625 68302\n92660 98627\n3321 81221\n16456 41586\n47478 49609\n37631 51907\n37512 95263\n35602 67609\n53426 62247\n10862 61922\n47086 83586\n48808 85251\n194 47434\n33996 84046\n23950 83602\n38815 94651\n72435 97207\n42392 50014\n24090 65586\n57941 96225\n36573 83983\n51922 93227\n23196 55532\n11188 70913\n29356 95824\n17370 42147\n18599 63171\n6291 77372\n2279 67986\n11121 81793\n29949 52706\n79553 96440\n5452 71443\n76323 94084\n28989 37740\n39554 84420\n52095 76066\n44447 76736\n75564 80962\n24333 89225\n16514 46027\n7618 82406\n25723 71724\n10067 83107\n63920 78033\n30566 62783\n53938 91510\n30869 67137\n69445 75713\n40239 60611\n53498 84680\n80337 89400\n28470 37076\n26783 47963\n56759 82076\n15932 98635\n32434 75554\n6407 48457\n50766 53279\n29626 99116\n56137 72539\n79933 80568\n47148 92629\n29481 75134\n30781 86430\n21743 33179\n78867 90509\n42704 55743\n10059 16654\n49622 84044\n15715 62061\n11102 83548\n84837 99499\n12906 89883\n74286 92728\n30375 30498\n12088 85311\n44003 52469\n11611 14000\n14311 71762\n40327 54322\n29096 96055\n20978 61562\n82239 84054\n7080 33192\n2185 39335\n52732 96426\n21558 41820\n33125 65244\n32118 44474\n40207 87418\n5954 55972\n69517 93574\n27154 35076\n9728 30859\n46200 95927\n3548 83245\n4584 77120\n4637 47557\n88082 90107\n2470 63332\n44718 66899\n9315 54560\n42853 90232\n39116 71588\n17959 80360\n7266 80968\n16249 51254\n39095 67307\n66413 86162\n2932 36063\n41679 93829\n81289 84600\n15685 86618\n16896 27761\n94636 94832\n8906 54716\n28803 78154\n14837 78261\n74079 91357\n73104 80525\n21819 58707\n137 30480\n39049 72407\n5199 57529\n78926 95202\n63845 92718\n85414 93767\n35735 88175\n39138 75525\n30308 42737\n49897 78433\n40647 56854\n9917 14619\n13030 24673\n25077 46250\n61834 80396\n4044 11924\n78037 95125\n41820 78046\n76449 81545\n75231 98796\n15944 59187\n36593 43105\n3221 5852\n3060 22979\n17470 29241\n63753 68425\n76398 94880\n61818 94518\n1726 92795\n80804 84092\n23478 48651\n28433 60377\n81697 94117\n11776 34223\n6573 40426\n32853 33331\n47472 61956\n39308 61658\n1561 96492\n5509 44054\n13527 51409\n24286 60351\n32525 63567\n11336 67148\n4007 12808\n64062 69709\n80764 94520\n96073 99373\n787 81608\n13315 69728\n65057 98034\n20682 67625\n37878 48800\n792 93711\n28413 93475\n16122 57648\n67746 78581\n60707 79352\n73703 86409\n29316 77791\n47746 96359\n15019 90888\n52971 77438\n26928 90923\n9560 74299\n14662 62710\n23212 28740\n27731 98078\n11182 85859\n83301 95975\n80595 95006\n6378 81355\n66051 86711\n69647 86569\n5851 53536\n3527 54251\n21073 72210\n3410 16603\n54210 89978\n44143 51395\n20711 97692\n20788 82646\n872 40800\n1764 63663\n17280 96668\n43898 76567\n50954 52963\n37934 90783\n48082 87327\n26684 62374\n3246 56275\n69451 85898\n69168 78480\n39548 79773\n3403 88840\n52424 96004\n16010 60467\n17503 92472\n38937 82771\n65494 93026\n51417 67777\n11901 92965\n26192 40455\n8024 89178\n44002 58899\n36888 66042\n64281 76345\n14163 17005\n45842 96330\n20104 39686\n49320 53301\n31740 60247\n52519 95351\n58021 73444\n3141 86167\n25401 87852\n39520 56761\n17451 28469\n11379 21947\n12359 82846\n16509 64513\n63838 86483\n36444 96069\n24900 93301\n48347 88326\n14992 26310\n59201 61120\n43392 65829\n21700 59504\n24130 56012\n69454 92175\n49507 92319\n26179 90919\n1793 46134\n53600 90417\n30967 86691\n9835 37648\n12204 27638\n7714 28950\n40256 93948\n27636 73788\n48112 85412\n63743 89892\n2496 25037\n34754 94153\n76505 86857\n68117 92140\n21921 32251\n25275 60026\n29562 77881\n13967 85058\n47500 63394\n28263 80360\n35384 54519\n78086 92013\n61911 72334\n16377 78102\n5511 65597\n44163 44708\n337 24581\n15741 33975\n40929 62150\n24513 34677\n35434 49505\n48077 50394\n4930 74139\n1916 84929\n14371 25190\n45906 86963\n9304 87339\n37338 79173\n74169 82990\n31220 50649\n6456 9224\n35747 60989\n3255 77999\n16411 82042\n8612 85980\n9674 43934\n9697 97326\n63413 99619\n50708 62499\n12285 26876\n29549 40821\n17873 96099\n88418 93667\n59933 65114\n27296 70619\n18517 74651\n9436 82961\n8150 82693\n22713 82466\n22337 34183\n81151 84101\n79525 95541\n26519 58351\n10750 18780\n48519 55694\n1276 19978\n39222 59568\n86326 94771\n32597 82042\n44830 75877\n54333 96074\n17941 38543\n79895 85215\n56431 92379\n5868 94740\n14993 86697\n16608 37235\n1321 44090\n28709 75576\n39846 93400\n17564 66648\n39391 94597\n31711 36009\n36175 91957\n15761 40048\n73330 98294\n23082 30503\n62260 91324\n52803 96453\n18153 23350\n70093 77584\n6421 43337\n66490 70977\n58442 67967\n41859 56264\n4369 78092\n3708 52918\n1068 31634\n6901 84704\n34193 66907\n17701 90087\n785 23208\n61689 82478\n13112 24242\n13771 57330\n14594 57972\n38197 68874\n42827 89147\n66958 74092\n13794 25765\n7542 21669\n39476 90629\n5313 79595\n25940 60360\n39794 44739\n1330 68831\n87119 91147\n30855 82596\n49476 52468\n25061 69330\n10929 76903\n46601 95195\n12398 36297\n10330 21216\n14337 59676\n47970 80928\n53450 64255\n76033 87818\n13252 87920\n11373 78356\n56674 89520\n20695 98335\n44890 88023\n14172 52699\n73251 96632\n2513 27693\n70989 71566\n62516 89481\n37484 89789\n33763 78913\n85193 95967\n20704 84825\n804 82142\n50277 77600\n56872 62206\n20445 82996\n8746 74232\n39198 41108\n8517 16995\n23932 26828\n47954 85797\n12729 47801\n32896 36884\n20268 82633\n53212 74032\n83327 86677\n8869 44970\n5629 39358\n51525 92176\n4989 89299\n65988 79944\n9456 66226\n32679 48114\n34382 43575\n48507 49388\n11731 97534\n27065 93222\n11430 59786\n26211 37028\n964 96721\n13098 86085\n33144 76920\n4770 14856\n23344 39121\n9838 27275\n18056 90897\n55835 75435\n71392 97843\n50287 71350\n31778 75655\n8836 71796\n13602 22845\n86868 98828\n36621 46593\n1773 3015\n20221 73026\n39609 59651\n1218 40541\n60210 97686\n13538 46322\n24126 54244\n50460 99251\n69557 88680\n30852 55072\n43322 50461\n8776 80100\n47336 62029\n7786 31527\n25062 40712\n20588 63314\n9944 82361\n4759 77551\n62579 74186\n22054 68541\n41252 94535\n73889 95900\n13112 57437\n23770 87925\n2779 26121\n62371 99646\n49152 78176\n11166 26421\n27607 96738\n54402 70946\n37344 95006\n36170 59566\n34706 59943\n1351 53498\n80395 95337\n45240 86460\n67110 93216\n32374 95558\n44823 70782\n21739 95751\n74735 81506\n52319 68203\n63170 91202\n24327 75869\n36777 58974\n48068 65719\n23863 62035\n1408 37516\n34115 79182\n9189 46438\n16705 71057\n21702 74405\n14616 67584\n59411 91712\n21674 92686\n33319 70686\n46513 91719\n4690 74464\n62614 87279\n18997 40093\n45775 91752\n48089 75798\n11895 71290\n78506 94676\n48376 50529\n25294 91015\n164 6658\n52133 75495\n36898 75487\n28243 43745\n72112 79104\n23362 62158\n13138 66520\n67620 70990\n28224 33400\n25935 98779\n55579 59684\n70481 86451\n639 40106\n35132 93512\n67224 84121\n46859 78142\n33547 78222\n53552 78159\n38654 50295\n57356 61902\n94679 95667\n60575 68867\n4644 15383\n15938 50649\n30142 96973\n52981 71924\n44647 84524\n56727 74679\n12863 65075\n10842 87123\n66463 75595\n61422 91523\n66488 79052\n56739 78713\n10712 88365\n39573 95983\n1475 4850\n47707 52208\n62760 86812\n22852 93004\n8773 91745\n42417 91601\n25715 29818\n47007 56793\n52026 73428\n42136 58508\n35449 76562\n34311 71240\n11566 23144\n63970 88551\n667 1024\n33754 69591\n53979 84596\n24325 93415\n28671 84922\n28952 54840\n34990 40211\n31918 98134\n44783 93511\n34134 69544\n38219 55065\n53348 84107\n51992 57195\n7062 9974\n23835 39607\n40838 88359\n73614 81019\n9368 73797\n19354 59372\n58724 88286\n7282 23602\n30871 98204\n21468 53875\n53380 84682\n34370 54304\n49144 89735\n7610 66737\n574 85425\n5257 16823\n43921 73302\n11903 99301\n20474 66463\n58935 90318\n26829 60407\n4135 27294\n56546 99849\n20155 92479\n47923 81067\n16158 83104\n30253 45692\n29010 50032\n53236 96802\n18825 70413\n41263 47947\n10307 68307\n209 24146\n73118 97350\n8084 50608\n11802 47806\n705 49292\n48637 74958\n5116 60593\n1286 17360\n22295 91693\n77933 95072\n3332 67310\n28137 49879\n19712 65192\n1009 20597\n11412 20521\n17165 92700\n27534 45098\n16179 45219\n3704 5161\n68876 71294\n22794 48850\n22983 91535\n8080 10620\n27883 90144\n76868 92859\n821 72723\n7017 19205\n23562 43618\n22198 55569\n22818 71379\n42139 92287\n53024 56810\n54088 90055\n14534 34741\n21273 83389\n35888 45612\n6412 45003\n45249 70167\n19500 93493\n38802 76679\n19621 97581\n33815 61801\n62499 92074\n76002 99161\n11772 46454\n30339 95942\n71301 99062\n12784 79301\n75833 78929\n3787 86064\n467 82826\n17800 33676\n63884 95483\n18227 22027\n49336 78661\n62976 75931\n20173 28377\n44450 92677\n29905 65316\n19736 23611\n39515 91605\n27359 72164\n29904 40157\n6527 51282\n68196 72303\n89093 94991\n70773 87695\n31929 50454\n20035 79505\n30835 73363\n17190 47683\n5991 52693\n1835 52312\n43649 89108\n51691 86684\n41713 71216\n22351 78684\n9512 17709\n20607 57039\n46944 92701\n21566 50401\n26322 96751\n53435 93802\n69577 71684\n8737 74138\n5375 11798\n1303 3513\n67302 94392\n78213 80273\n80981 90441\n23823 87172\n51842 78328\n78715 99124\n17684 62162\n76126 95959\n31590 71491\n7183 62902\n80765 95444\n11158 86556\n46953 81483\n8111 60043\n55569 81928\n22649 73398\n1059 22570\n21559 78415\n21407 25641\n12146 33925\n77403 87919\n94533 99305\n28717 30227\n18950 81329\n34180 65668\n17573 35408\n89027 99276\n4327 34212\n78340 86185\n25816 83045\n88171 88790\n38238 49691\n34893 95524\n31588 56261\n24016 41202\n21848 30819\n87117 93299\n48597 90904\n1108 5024\n79435 97649\n11663 67470\n7974 42310\n2771 86845\n91497 91795\n34728 77543\n47728 63613\n22863 52908\n7770 43652\n25552 51932\n42465 88787\n23587 43390\n44339 81564\n20841 84508\n65342 88518\n58170 78637\n52933 70887\n66813 87235\n39337 88938\n22564 92217\n62893 76944\n52296 86656\n36734 81262\n15480 30794\n13346 66029\n24892 35269\n14246 30310\n62312 74992\n58773 63713\n30915 47158\n40466 68102\n52997 78744\n85699 95607\n2610 44789\n37737 59819\n36846 50054\n49340 81389\n47237 55593\n44602 64525\n26009 30574\n13212 80045\n20072 45771\n13622 99527\n33688 68961\n24215 80177\n35067 52426\n14088 98177\n45338 82562\n42535 63527\n6822 59260\n41575 59471\n53055 83044\n6893 29174\n7792 23949\n53684 70257\n42722 94191\n61237 70973\n2913 33836\n14178 55550\n16006 17294\n43463 74024\n21058 89398\n84662 98177\n21600 62398\n5968 50453\n30940 80334\n22354 53141\n15505 57409\n77352 89757\n3993 34856\n70293 82301\n22072 48444\n66688 73589\n36765 65286\n62070 74290\n5641 44981\n18518 81378\n12119 49158\n3818 14525\n34000 35208\n3395 66592\n26652 47689\n49275 83055\n29549 67271\n21392 81055\n10431 73735\n63571 67649\n59120 68989\n20620 46206\n3448 40606\n3993 81444\n54668 96184\n3134 44354\n87612 93609\n62779 97520\n31755 94397\n15709 76852\n55164 84593\n1360 3297\n49958 96382\n17820 38387\n1424 30908\n80249 88028\n8740 84359\n12322 91553\n11019 75554\n69549 71819\n16889 23744\n26744 29453\n60460 85559\n41326 87960\n87330 94672\n13384 85073\n43999 66162\n43940 74497\n29593 49326\n14896 35313\n39299 95338\n33959 36222\n36592 53734\n49128 61810\n83416 91421\n15352 88146\n14677 99008\n36268 69221\n63749 99677\n52523 92698\n875 24631\n55564 69327\n47889 60614\n54379 78540\n10684 34525\n12302 82364\n42034 94064\n48215 97843\n46597 63442\n64324 97524\n42693 64492\n21282 89934\n13694 67737\n54170 65593\n45193 96700\n52660 98642\n65358 82718\n22476 65342\n56833 91909\n9987 61160\n13708 59723\n36959 66772\n65626 80443\n13053 23834\n43979 57580\n12796 43836\n58832 69041\n1040 82147\n13316 33977\n75992 83033\n1362 53916\n59561 91652\n63748 91427\n23783 37965\n18878 23114\n18093 58230\n12096 57415\n11297 57254\n20608 29411\n3340 23580\n4491 23543\n53466 56807\n44886 52709\n2109 36703\n59789 70663\n20383 59642\n30719 33388\n48512 99115\n540 35587\n39615 94439\n82718 85800\n20592 26093\n47753 78875\n15194 66683\n24865 80438\n21696 61559\n44172 79392\n35613 86321\n30326 45990\n2677 24308\n27244 70168\n4689 63017\n37457 93143\n64198 92674\n19959 79195\n79458 91724\n76596 97644\n12565 93987\n2527 62181\n32233 80840\n50262 64232\n26193 65482\n43549 55916\n22039 85349\n12320 30345\n23730 88500\n14787 44200\n4710 72053\n49996 55917\n22412 58916\n31051 33850\n63896 79113\n42311 47146\n34863 41916\n16961 87265\n12012 67405\n25846 73778\n29807 67690\n27157 59983\n494 72253\n23053 99603\n29056 53759\n30147 76069\n46654 78668\n76831 83422\n23902 68923\n17743 18283\n32335 39580\n61036 94075\n21495 37726\n36846 92393\n59382 67468\n16322 73480\n87362 99586\n13189 39847\n40901 72311\n23584 69191\n51975 84866\n8693 78283\n35409 72290\n61386 75135\n77640 84705\n12909 59890\n32850 56768\n46861 65069\n35991 96548\n46039 59859\n45560 57040\n64083 77078\n7826 90337\n35397 83735\n61990 74947\n1267 73718\n4052 61676\n31149 83717\n88522 98285\n39016 54572\n21544 43991\n1649 98330\n25613 88104\n81169 90005\n66562 69820\n65590 97961\n33944 45215\n52417 79050\n2675 72245\n12798 46405\n16046 53540\n67971 97960\n4396 30373\n8611 37312\n17602 84169\n19701 80598\n54810 67468\n56514 77427\n62557 99622\n8251 67551\n17 28445\n16814 35239\n1178 62286\n71356 89036\n21669 68088\n22309 63585\n33590 61801\n23177 75012\n44953 95688\n53755 92079\n39915 70464\n25929 71189\n25205 46783\n53254 78881\n16162 70544\n56181 95243\n84481 86462\n77321 80968\n19908 35282\n19206 75830\n1791 48160\n42551 83185\n11300 90227\n13661 45526\n18999 49777\n80319 87776\n24731 61844\n15285 81294\n35650 65544\n9330 99557\n3524 5461\n47522 82258\n3119 77581\n2987 90815\n12718 63483\n15161 38610\n79273 82192\n39704 64314\n31734 77983\n11033 33445\n2655 6561\n16406 20851\n11064 24695\n22398 27025\n26590 70077\n990 96550\n9926 28615\n4387 99065\n9308 75289\n36922 49078\n34123 91146\n17298 65111\n65689 69483\n28712 90006\n18601 31546\n68323 94942\n13855 25852\n70351 73984\n2690 30845\n61233 70595\n8011 99227\n83822 94791\n5467 36599\n7646 83110\n13483 28592\n41409 45339\n6203 60918\n83217 92637\n18037 76779\n62254 89661\n22168 76788\n24153 31061\n52164 77898\n55476 96038\n18240 86777\n14476 69581\n2809 69898\n74130 94575\n2763 54621\n21362 95088\n16677 85441\n39487 60442\n60123 88999\n51336 58343\n54145 68766\n24412 97573\n22065 58042\n47410 87376\n2133 32524\n21944 78809\n27178 59475\n4302 30960\n60766 85648\n45720 78586\n22641 30644\n11558 13236\n35686 97499\n2355 73719\n23834 42512\n53823 58364\n45294 77633\n51898 58626\n58841 86152\n57661 80071\n19116 66592\n54713 73420\n83593 87397\n12295 72849\n48814 59037\n13066 35898\n65046 85308\n5655 62817\n19368 71533\n30619 68240\n51585 57766\n6887 86642\n34548 61440\n11374 55609\n41153 91396\n19281 36633\n15229 95553\n26341 46327\n53067 79701\n8001 74183\n52397 65811\n42525 75694\n32017 33409\n19189 71759\n8437 23525\n32110 34677\n2379 71552\n58764 96158\n23254 65669\n21339 80676\n16562 77557\n33549 47337\n29602 72393\n28090 98785\n33430 39105\n7799 8499\n13143 14271\n15963 28903\n32117 53075\n43483 96989\n35588 98854\n22926 58674\n61896 91644\n22241 58937\n55700 99175\n537 8039\n63471 96126\n27626 34592\n12632 48725\n36156 42497\n47870 64949\n34910 59197\n59663 96153\n22954 25857\n7811 33570\n11679 58086\n28686 57062\n2330 44707\n40533 55409\n21009 97087\n15447 41759\n94315 95993\n3157 29194\n81231 84500\n56797 57160\n69873 86311\n14727 33138\n73007 98247\n13942 64763\n2993 72696\n7298 99732\n27528 38710\n11315 67153\n294 22646\n65425 73538\n21905 54001\n7738 67108\n22280 26943\n52914 78802\n82782 98976\n81646 98433\n9237 40718\n11473 19879\n1497 28887\n51556 63416\n83512 97085\n27018 68809\n60178 68895\n23342 75958\n18467 44455\n5860 35940\n78433 93986\n30948 98584\n70195 78700\n15308 15419\n21674 77838\n74613 83877\n13823 36838\n35126 44395\n40163 64817\n13301 58128\n29609 42241\n21048 24631\n65355 78762\n13792 81180\n62529 76788\n21791 78807\n25632 47265\n6650 43624\n26414 72485\n51894 78068\n18416 62799\n53036 63672\n5054 72399\n38842 48922\n75532 96455\n39465 40855\n55686 77090\n37724 62867\n26266 39056\n16038 31012\n28448 50894\n28947 55545\n25734 87593\n3805 71248\n79928 80850\n14449 53815\n27051 97292\n16165 57968\n28756 36875\n40759 95954\n3475 88000\n17203 30308\n42622 47135\n9495 27358\n35726 83588\n10280 73872\n55218 96150\n59726 72435\n49956 56833\n71138 96464\n10424 40201\n15737 29641\n77888 83055\n91120 94068\n58714 70478\n8558 98221\n48865 60125\n1327 70495\n32312 91972\n60941 79883\n88369 89792\n13105 85995\n21475 90416\n46914 80041\n32510 35670\n16480 30640\n25129 83381\n80363 94838\n17274 73034\n723 82060\n30504 45362\n48442 93125\n19489 73362\n12705 23593\n32807 82586\n31110 42755\n22515 46263\n15031 72358\n13191 37771\n25120 34130\n61917 86695\n11683 69511\n58999 82949\n33721 41851\n38490 54813\n43427 56899\n50463 78621\n10274 91689\n4521 92963\n62568 87149\n17431 27330\n28752 82197\n14386 58590\n52607 81778\n49561 73204\n66642 97655\n12302 43294\n15894 63831\n37786 73688\n65509 93725\n37175 62582\n6948 99277\n10530 56827\n18206 57824\n38411 89610\n10396 79650\n93843 97592\n1412 45991\n44221 89123\n20277 85439\n790 80730\n69892 80075\n30787 55324\n3905 82994\n70495 72267\n50505 81512\n11004 63639\n92198 98107\n42987 70047\n79383 94732\n34892 86091\n5596 73498\n86148 97574\n1383 12617\n35840 56373\n92746 93927\n46609 80492\n57719 79714\n1625 4443\n12524 15982\n816 53689\n78955 81207\n76696 82913\n1858 11977\n12771 32895\n64155 86988\n19702 90137\n2228 48090\n88158 92107\n47527 72222\n66 73212\n36365 78568\n43921 94778\n69428 94200\n50398 87532\n36391 36463\n34237 38459\n22872 40529\n4657 86860\n23755 54658\n3999 39548\n19544 70025\n34510 84712\n33511 60849\n27837 99816\n35622 61724\n42340 73412\n6008 29189\n9881 35437\n16737 73838\n58075 72542\n19521 52480\n11195 85395\n32465 38835\n64902 79202\n15125 52594\n38121 51850\n18719 27819\n48697 98461\n40180 74170\n9337 45283\n75645 82819\n8689 9580\n83482 90913\n51116 56551\n68612 87252\n50492 91607\n6044 39718\n84658 94102\n67243 72164\n6824 76294\n16441 72507\n116 25074\n10857 77671\n9444 81083\n54912 96447\n7558 20993\n58254 71636\n53079 80409\n22477 85473\n16535 74957\n16394 32948\n34378 46830\n7145 89590\n12919 69075\n42673 57072\n5579 43571\n44829 52261\n1360 76313\n28226 90230\n68997 75820\n7202 80742\n24768 36687\n41730 77243\n31933 36955\n1879 90697\n33574 97172\n14383 47981\n42403 90991\n9348 95954\n3245 57092\n17005 80581\n15385 16882\n18017 95651\n49522 87698\n17433 75430\n28383 41004\n27383 38417\n81829 93424\n15689 56422\n54429 84793\n27680 45897\n41814 70096\n74654 91485\n11559 31209\n11958 54269\n31339 62300\n10471 65370\n76018 96511\n10981 85732\n8105 14901\n34827 40195\n17012 93223\n84058 89902\n49137 90369\n41461 53900\n4276 13167\n19505 97417\n2060 46572\n21476 38414\n50394 52699\n52186 62748\n48966 68474\n89041 98853\n88158 97927\n75260 94126\n9061 56466\n86489 96918\n21131 65467\n60158 64145\n25835 86511\n36142 53062\n81648 92244\n7132 52735\n53275 89710\n46677 79367\n60493 63170\n32878 84762\n25228 50883\n87180 88595\n19631 75731\n78569 90252\n64656 70625\n32882 40656\n45163 56374\n68882 75780\n16342 79425\n15269 54587\n16278 78455\n40273 66777\n12981 59820\n32094 88491\n68690 90397\n82892 84718\n19964 54554\n14418 41373\n26027 64122\n3425 48047\n66457 83408\n19839 21173\n74731 77846\n9543 26154\n77293 92517\n50500 60393\n86415 88550\n7834 24944\n41473 54611\n19657 83112\n23617 40436\n22561 69002\n15867 87976\n83468 89668\n1613 1760\n68508 73792\n55767 59914\n14185 76689\n41809 52399\n47272 88412\n70657 77444\n3400 96318\n30151 98226\n53017 76860\n12610 51529\n22613 66962\n19936 90844\n17539 57036\n39512 94802\n29915 81387\n26181 70702\n60310 90461\n27300 98021\n2665 6988\n20315 42387\n19792 88406\n40807 88224\n33567 34958\n13493 79665\n22937 42794\n20328 56383\n11396 99650\n12576 55842\n37118 61640\n51785 97346\n3467 45136\n6195 9412\n25929 98834\n23383 31350\n44409 65305\n28788 33543\n16992 85172\n17006 72451\n44901 86431\n27575 40122\n46432 57878\n32012 78728\n24243 88054\n13867 84497\n63475 75167\n1187 54419\n51807 62781\n34297 48421\n61264 97827\n71518 95090\n80955 93329\n43860 68366\n58162 64360\n886 81338\n1324 58140\n9998 38670\n92913 96123\n52468 89780\n50985 96192\n53069 96455\n81296 85327\n21538 65966\n9660 66222\n59842 97549\n59868 92385\n48585 81678\n43372 92647\n24954 39020\n61335 73485\n58870 66326\n15723 19002\n39582 77178\n1874 90347\n30965 31361\n19025 22525\n34794 69454\n19643 94732\n1034 77727\n68643 73396\n54738 97288\n17579 79724\n56790 99934\n54053 95999\n17081 29912\n62245 73981\n1541 55103\n42679 54120\n36579 58091\n64138 72011\n47283 71709\n48838 93393\n86124 87739\n65616 77977\n61118 82080\n46057 55037\n6587 58542\n26330 71858\n758 21776\n49612 99136\n38624 43741\n1386 66968\n17518 65684\n47831 59235\n12281 79557\n26108 60371\n21885 93434\n20183 48775\n39527 96338\n70605 88413\n29730 45171\n80949 99128\n4642 95376\n89994 99875\n26823 44077\n70366 98846\n28914 43137\n13553 24733\n59250 59923\n27998 31772\n1205 34494\n22183 61870\n27057 93359\n29166 79277\n10537 72424\n52603 89698\n11471 20916\n5726 47826\n46027 65648\n60348 72008\n7236 35184\n11752 32381\n32909 98340\n3708 20061\n46299 49196\n38979 81974\n69880 84741\n1015 47741\n53975 99020\n19482 42022\n19628 43533\n14469 31810\n83 26973\n33248 91369\n20588 96429\n78436 89427\n6279 72236\n23107 51290\n49914 69210\n16438 77631\n4064 33689\n16175 16592\n11445 62055\n32921 68625\n58773 87277\n42742 75085\n48151 53713\n45595 47504\n2554 27455\n35675 39168\n25948 97194\n10134 81631\n48861 95327\n8415 54224\n4012 68733\n11490 94859\n16968 26679\n17019 71726\n53657 85465\n77154 80047\n22169 98447\n80025 97177\n62784 69818\n81790 88651\n46063 58299\n49134 90987\n3711 98730\n86087 94474\n39462 57629\n44326 76652\n22001 25525\n41905 97515\n7949 17274\n33659 61788\n1856 55053\n65991 92431\n41870 63276\n707 84263\n44750 56257\n3428 13888\n5872 40625\n28802 50270\n15112 28246\n42744 43305\n20681 80957\n759 24032\n40090 53221\n54813 81580\n11786 48526\n6627 54788\n84946 91203\n30334 43883\n41614 97537\n11034 94221\n2421 94945\n17188 49864\n53612 93089\n43108 58843\n5939 13568\n37965 96414\n673 81768\n25018 39842\n6482 53268\n46296 98239\n18729 90600\n9597 53026\n76500 87962\n2838 25479\n76333 93817\n69166 92366\n37778 64045\n8325 85220\n8562 22989\n14214 27929\n27404 90018\n26085 40010\n5744 81494\n71217 83788\n9136 9485\n3129 12055\n1273 17710\n44873 92129\n29872 91579\n53194 56679\n67596 69487\n29957 30203\n1315 46875\n18486 83302\n45539 70153\n60285 85179\n12418 87206\n15233 38043\n41786 92529\n29953 59889\n81933 94017\n7906 18804\n8945 83903\n28579 88185\n47874 51790\n4781 43949\n6836 99558\n8957 26294\n53681 73653\n55388 90843\n4421 99969\n36670 49444\n22024 60497\n11411 94389\n39741 78974\n83369 89176\n30205 94222\n12094 39725\n4947 48941\n66271 91600\n28260 71248\n34911 46976\n41584 97049\n50391 71477\n36998 67909\n32886 38558\n51760 88006\n29980 91457\n52682 66358\n1761 4858\n52780 60500\n1757 21278\n32527 95319\n58031 62233\n26687 74997\n34884 79961\n247 4086\n20494 71450\n37026 96152\n27048 52774\n70929 93939\n60923 79680\n91721 98426\n6815 95012\n28910 88270\n64903 92522\n2718 27141\n39712 77001\n2806 46734\n39965 47404\n3357 13868\n39086 49296\n46841 75743\n14385 53599\n9162 57303\n84554 96430\n53814 61855\n18193 76488\n30331 69352\n3699 23606\n16629 17899\n39502 52920\n11028 28442\n19999 99327\n18022 35331\n36182 47833\n79224 90625\n81953 93019\n13618 76381\n15074 95036\n65579 66715\n13656 32755\n35977 63571\n46248 70692\n96449 96804\n35312 69674\n1655 63566\n65686 90675\n81539 81763\n11285 27013\n69011 84278\n45137 79448\n3148 90243\n27109 78693\n38331 86788\n8252 35581\n50006 66522\n16509 30380\n40137 78101\n43075 96959\n42499 49484\n11184 43338\n1435 16146\n57861 83129\n42267 58300\n36282 81577\n9688 11274\n26379 84882\n16454 40899\n15553 56551\n48565 84653\n75237 77102\n51439 97661\n60925 76034\n11371 23768\n24291 99617\n67686 96360\n2927 73870\n65921 75594\n313 31223\n29168 77792\n33658 50900\n20905 92755\n28291 42823\n37587 76792\n58272 70529\n18496 40193\n66282 67176\n39023 60466\n84731 99986\n130 86128\n16534 69880\n7607 41304\n66067 72782\n60784 75871\n13833 80993\n6631 44279\n22641 67332\n13266 90851\n58444 72857\n47593 73133\n43789 52694\n48755 91231\n89804 94509\n23448 40053\n18364 40290\n39904 64173\n22419 50100\n4823 36033\n24242 30358\n54773 56693\n35352 99690\n50400 71518\n16619 86173\n15556 62977\n4608 18247\n2820 61366\n44081 99144\n17231 69349\n32986 37557\n16420 94055\n1695 84145\n13341 92449\n30826 81407\n30290 73567\n29223 52064\n22020 44469\n8865 37978\n35020 56579\n46694 72316\n28159 34362\n19654 58762\n20418 53953\n13087 14553\n19764 44414\n34614 50071\n70287 89987\n18549 37597\n15258 52704\n50218 81289\n30420 70199\n75120 94177\n19700 40013\n83893 91594\n69985 73805\n26958 93154\n62924 84568\n30861 41274\n18794 53498\n26401 74556\n15250 53126\n64129 72572\n22973 45563\n21281 74355\n21936 61150\n11512 59832\n37636 59568\n36801 84398\n36791 90362\n3609 12799\n17548 29638\n47103 67977\n94192 94616\n5450 99539\n36238 81165\n70206 76057\n10366 28111\n33736 96462\n24196 79036\n25321 85474\n12671 38992\n5289 86576\n20665 98859\n13671 35740\n75182 77223\n48814 56297\n45356 89940\n55054 88923\n39626 43595\n70673 81323\n26331 86080\n73195 90566\n30621 31912\n39149 81290\n15171 77265\n43361 47513\n33270 50428\n252 62678\n62116 97419\n24673 97710\n22792 58057\n17257 22581\n62233 82656\n23115 86860\n16519 70146\n625 85040\n72880 99319\n45397 85048\n42797 69891\n26111 49451\n1083 53095\n41559 60394\n36438 55984\n26588 85083\n15785 99950\n11308 11891\n83891 93711\n50252 54449\n73816 83356\n23610 66442\n16811 78916\n51374 97935\n8578 60240\n9399 24312\n55067 87799\n328 82203\n13207 75135\n27892 80094\n22252 61002\n207 62338\n47057 76846\n28201 72313\n50007 84960\n6480 32977\n23845 51988\n24820 25994\n22862 24973\n21106 66651\n28922 91301\n61734 92189\n86516 97872\n7025 52640\n29947 51702\n41911 62672\n2609 13889\n78373 87161\n9500 34408\n50453 52872\n33802 68092\n11603 12962\n639 53107\n8990 35365\n9336 17327\n35997 80107\n765 83318\n4791 19898\n8661 52579\n32326 71964\n64319 79392\n16607 88376\n2782 60127\n51648 75842\n69111 95217\n8121 94429\n3619 26896\n25041 64601\n35217 39712\n40732 92393\n43392 89692\n33704 85412\n2634 9208\n14161 20755\n17902 38417\n2436 77238\n19137 95853\n3092 26836\n28742 65780\n62664 74259\n56274 59790\n76816 99752\n7950 37501\n61141 95998\n1868 97378\n720 70431\n44203 57305\n33423 79542\n34940 64767\n42248 46774\n12333 96254\n33817 63764\n3385 88846\n30988 94744\n53018 81637\n65172 97426\n4759 87990\n12983 46452\n21688 97997\n37241 95190\n79243 89954\n38489 79580\n5224 84613\n91446 91897\n28595 35088\n62934 78495\n37336 57910\n31123 46774\n65726 90727\n31503 40627\n27924 51193\n68977 95764\n37928 64303\n1906 39908\n41505 99437\n5108 48375\n17988 54268\n10193 25664\n9197 57200\n65036 78009\n10283 99486\n21825 88603\n46363 74316\n16978 21634\n64096 69788\n7470 92604\n80319 85048\n41781 67269\n18117 80127\n81966 91314\n8615 89430\n9896 74632\n37784 98877\n45651 46202\n46667 51013\n57266 82440\n7720 38859\n42768 64529\n26384 99757\n4430 80071\n19029 53789\n12043 28123\n9360 42979\n40480 98708\n11850 13255\n15030 17201\n13681 47494\n35018 48557\n3406 72113\n29533 62912\n45701 47514\n76442 92066\n22652 79214\n18601 45094\n52739 81832\n19139 53074\n27842 64679\n82130 93461\n349 87409\n1454 5130\n55156 72521\n36941 98053\n33097 51752\n48656 70953\n41564 69917\n23494 86253\n32261 51469\n9623 75990\n6806 41362\n21351 88794\n22239 70029\n15085 65097\n31451 70703\n8302 73322\n65614 78205\n39937 43575\n52502 65908\n10882 13680\n16230 39102\n21541 41143\n14204 99546\n47221 84924\n49591 95445\n17033 88136\n21131 64903\n6341 77323\n12937 63293\n36027 71813\n21984 66285\n6824 93446\n26499 61761\n35041 62583\n18021 96185\n22140 61659\n15460 39642\n10213 84996\n58017 81182\n9697 66055\n10483 84215\n47254 50501\n19393 64772\n13011 73923\n1408 70461\n77339 97856\n7029 42486\n38669 75020\n10867 77322\n14136 30450\n15825 33313\n64399 75463\n38972 92695\n7216 51150\n34601 36545\n14648 52388\n37923 74765\n6246 7180\n22342 91055\n51537 68523\n37371 39880\n27542 65945\n45334 92809\n44911 77361\n15686 62808\n54929 80411\n18838 45063\n17491 74837\n33416 42487\n32417 48467\n28933 61279\n6846 12980\n23890 63091\n43443 72272\n6433 54163\n76168 96531\n64970 77804\n20612 35085\n6791 94167\n20954 94534\n24161 82541\n38620 58274\n45008 82172\n14409 84230\n50251 53165\n9612 10904\n9486 18596\n43664 86060\n38413 97876\n69700 80328\n32722 94150\n31394 82182\n32098 91459\n50659 72687\n75277 89348\n22503 78701\n63992 65242\n63581 92183\n73024 89240\n49428 55927\n39398 62529\n38229 92158\n24361 54182\n52560 61588\n34564 82371\n28396 52002\n2911 44287\n6644 72506\n2371 16122\n78547 99543\n37746 70770\n1881 43415\n13957 76028\n63591 90241\n61846 94647\n81683 86667\n36402 88652\n48158 88937\n2953 94859\n20189 52843\n48509 68473\n15485 24867\n29548 61026\n83557 97023\n58543 92147\n77599 90864\n7320 36046\n9307 46586\n13749 46807\n32378 88784\n72066 95675\n23735 92165\n5199 46540\n7352 57013\n30344 86782\n30828 77303\n21386 78146\n88195 90619\n870 70651\n45864 70085\n20036 48746\n9393 55635\n14282 40562\n74382 88271\n53238 55449\n47281 78666\n926 45794\n16341 42372\n16014 69038\n50047 88096\n20171 52958\n54918 77006\n23548 84014\n8063 54141\n24494 28883\n20205 26714\n36929 60691\n11756 12264\n10690 17498\n23872 26101\n42763 65060\n4484 34167\n44618 66213\n38224 77439\n41479 76366\n22677 90686\n8782 44620\n73614 74010\n52467 69097\n18226 60692\n15113 75502\n10259 70359\n17605 44666\n10142 97485\n18652 47877\n10920 92357\n22330 44590\n28582 95084\n50894 98526\n17506 24764\n181 6444\n74632 89408\n9202 62895\n9720 32679\n29837 65034\n4387 72418\n4053 31535\n21212 36615\n19114 88988\n67181 77169\n6562 90886\n55516 97502\n3299 16778\n38668 89807\n29306 68359\n3187 53972\n11151 77374\n29727 48861\n51467 99055\n10736 19157\n36036 41449\n34585 40768\n22662 67620\n45923 59235\n62965 65213\n23495 70093\n8003 89292\n20287 31098\n19307 50765\n28312 35688\n23807 29490\n4569 87836\n38047 49594\n19789 55667\n45696 85617\n4238 33808\n15113 81214\n22046 45729\n40655 75260\n75438 78494\n25262 83514\n34826 85124\n25396 99107\n13137 35133\n8453 35929\n65612 80767\n54621 87850\n35614 50943\n64112 98449\n414 41132\n42295 75821\n6169 36636\n76182 88417\n9715 26438\n28800 48174\n69901 96625\n34211 71264\n21830 57662\n10924 19952\n26873 80767\n36244 36830\n23230 95900\n58 54974\n53778 80452\n19410 62001\n9967 15623\n20310 85423\n46556 48276\n10137 42245\n33969 69584\n45794 99848\n54549 57357\n33552 93726\n46242 61084\n16829 83929\n35525 36905\n66472 99069\n34603 88365\n90468 93705\n60496 73035\n23614 75882\n24221 67106\n73362 84977\n910 79262\n17444 67957\n86151 96506\n39616 46048\n19082 85742\n40550 41024\n38088 81250\n52575 92358\n58437 86653\n6121 53209\n47439 58550\n43756 63124\n1057 34421\n10100 50130\n48578 76157\n1043 3164\n11746 33562\n41546 89355\n21235 70110\n40873 44618\n35805 37317\n62566 81518\n9281 59714\n48324 68178\n41618 99084\n34701 51583\n80682 97032\n13760 49442\n17898 89528\n54765 89451\n17401 30155\n55668 87720\n34648 48882\n39814 44557\n44409 76370\n37484 40199\n71272 89861\n44856 56276\n95770 97229\n40643 96567\n11819 52184\n52107 99220\n7237 74739\n31832 61969\n19364 72149\n6471 81867\n994 9203\n46854 78792\n31825 65775\n57363 87710\n13644 52873\n73949 76925\n81232 81491\n10599 85172\n27650 98370\n43506 86210\n16723 41986\n23689 38641\n5931 57509\n22518 66028\n61186 84725\n55105 58741\n48753 96514\n843 31277\n17660 60780\n31742 80087\n38697 43852\n32916 95892\n42041 62060\n1043 82722\n97246 97468\n62001 97607\n50028 95664\n38562 86806\n25460 76152\n39457 84679\n7468 84716\n31571 62152\n18004 61183\n32293 44788\n15504 76436\n27941 46635\n118 94587\n71599 85284\n46189 63647\n16276 96218\n43157 83329\n64397 93110\n62672 78370\n33299 57973\n6496 23764\n47880 72022\n12985 64266\n2755 28161\n33527 66637\n32210 53440\n33407 64795\n23797 81415\n48557 84257\n52734 60544\n28536 94761\n15486 98937\n30746 92592\n24752 36199\n21223 44535\n6541 34998\n62492 98087\n84022 90020\n7667 97597\n36832 41747\n19945 78360\n4933 41706\n37490 89501\n53686 78032\n61248 82259\n14375 60945\n10019 39194\n14514 18038\n22669 48747\n28783 30104\n9292 22845\n5544 94617\n34140 39325\n4486 73382\n13673 33844\n76736 80859\n54611 58346\n35359 56707\n59718 69612\n31779 69185\n69878 80299\n30010 49386\n32023 37238\n42899 49636\n62321 76435\n48566 78409\n50925 98568\n47252 54939\n78675 82988\n2851 36281\n14539 87720\n39125 88527\n66850 98855\n15705 18021\n52347 80245\n42462 80677\n24064 25003\n18207 27899\n37580 94798\n16951 46929\n31428 60227\n42671 61881\n32243 90819\n6157 27204\n26168 92119\n72261 72945\n53427 58111\n50721 64581\n41194 72121\n2230 38000\n29437 83574\n8697 78288\n12528 75061\n33641 34670\n31123 45441\n61898 88515\n8802 39526\n7093 59236\n21097 83387\n7265 62017\n24072 73377\n720 78648\n80760 92491\n49747 55374\n23960 34013\n38040 83028\n38983 71605\n51277 92817\n25143 31417\n4814 9041\n22234 81845\n6539 44536\n50560 73299\n3024 40105\n22029 36476\n85192 95919\n4335 64338\n2252 56036\n667 85037\n43538 67227\n40900 50977\n52864 81517\n53396 60842\n23327 69924\n37293 86515\n29687 72750\n32025 86175\n57525 94146\n29693 37089\n30443 72509\n18509 46459\n6801 51264\n19587 22624\n77675 96301\n53213 70239\n45772 93824\n3603 16350\n9930 10596\n81063 83126\n71555 99697\n7585 92060\n65936 96262\n64386 65262\n51330 60489\n60532 92014\n13148 70264\n12994 30050\n69825 72703\n29796 96027\n12904 19577\n24747 86812\n80857 90045\n12856 49607\n11918 21953\n11906 46289\n19813 56763\n2059 71358\n64963 67411\n10349 40179\n25302 75051\n11275 89268\n53717 56984\n60216 79840\n26077 36821\n73459 77457\n12368 25695\n50003 53257\n12851 50864\n22112 81870\n8255 13627\n16598 30109\n11730 49223\n3369 23411\n17823 25959\n22133 24509\n14229 24456\n8941 31003\n24350 50309\n37587 89773\n59573 93042\n15687 84664\n12043 96881\n2219 11923\n24566 80289\n36207 98149\n51934 84419\n33369 37579\n18530 59125\n38677 56480\n31231 69791\n49864 68623\n19514 67006\n37761 76491\n18389 36733\n77778 85783\n9922 99234\n35973 63686\n15122 45680\n75365 83871\n3439 51200\n1861 99589\n8493 77252\n64750 74678\n79562 98301\n7490 26624\n54121 75539\n5458 14164\n34367 35511\n8933 22188\n54960 87288\n37263 59593\n11650 90311\n37802 83140\n6866 34389\n30849 96741\n21678 89346\n23334 33125\n28904 55753\n20816 90071\n6157 53563\n15808 67727\n11252 45327\n30670 93406\n22656 66535\n17514 33607\n65831 88440\n30386 98841\n17253 61481\n31596 95238\n50980 63180\n2460 58480\n72594 93192\n25064 50253\n62545 82581\n3580 10645\n86785 97528\n18172 77555\n21293 38536\n18030 47577\n81028 95649\n18890 46976\n46447 71221\n37816 65533\n19589 57227\n27884 97551\n77708 84115\n63796 71048\n46668 65634\n9094 69567\n56045 67780\n11174 41975\n42020 86614\n62320 72707\n51612 76811\n27386 87167\n46531 95278\n6190 34432\n6431 43102\n10231 87466\n33087 88654\n33872 69147\n62893 69908\n34062 46864\n66343 76256\n35814 91994\n31488 42371\n4054 68726\n45787 70552\n2243 44475\n23754 47754\n34665 77903\n52614 60117\n59717 91950\n36396 63385\n3333 66363\n51355 55863\n32425 84842\n23197 61169\n42084 49425\n84609 98657\n19357 71883\n70293 86189\n52241 64705\n33796 86961\n41126 68965\n33443 60182\n25722 39353\n21933 87999\n87878 92879\n66115 96471\n6016 93109\n9858 21384\n9297 39780\n68910 99850\n27603 59776\n8547 35467\n59382 98330\n89736 97991\n27907 30507\n12637 85198\n24964 97161\n41304 95004\n10910 95215\n51858 64593\n11475 34344\n83622 87743\n7010 34419\n46464 78141\n27697 81453\n44166 61247\n16486 55129\n41830 71405\n31671 34059\n60649 83491\n23232 53254\n6321 83688\n7993 28129\n57714 63070\n22237 67973\n9354 80829\n35375 38602\n14911 48248\n24384 56050\n38051 59851\n2670 19395\n4304 6170\n4482 38989\n24007 75429\n80622 96744\n6613 14166\n20715 69827\n82119 99609\n58189 60244\n43870 85859\n55107 85599\n25573 86322\n58196 96842\n4431 68508\n3985 7397\n8494 39711\n29772 69409\n14228 61496\n32599 52599\n25945 80486\n10793 27142\n65132 83389\n21963 99240\n16471 81057\n892 75535\n40501 46104\n14046 97649\n44978 99661\n44682 81501\n34719 92337\n24755 49854\n1171 94725\n11509 36206\n18753 91094\n22663 31510\n62153 87172\n16000 20547\n1713 10743\n85882 95438\n21680 61114\n15932 62942\n41914 62118\n9387 72166\n80284 96079\n65631 97661\n50577 69388\n23487 87866\n10773 17373\n30821 48805\n17123 91836\n8344 34943\n22947 36863\n39954 52605\n31662 32195\n24818 28449\n74450 77003\n5326 49254\n12846 22816\n79651 86210\n52 55229\n7163 91286\n54262 68965\n42212 97649\n55865 64573\n67154 80710\n57205 83874\n5275 68002\n17638 50856\n65892 85949\n26793 97489\n64110 74486\n15363 80301\n35022 35512\n17061 17756\n22366 52467\n28692 49300\n29815 65215\n20754 59532\n19677 54247\n16301 34536\n50928 92262\n58207 75119\n29215 98097\n469 78434\n43134 98443\n4222 65367\n20613 74465\n39667 80093\n71986 87688\n11621 45051\n37554 56017\n81801 86472\n11412 83276\n5979 14378\n8626 56516\n42137 98801\n1545 95131\n23608 24574\n23418 70684\n12224 76315\n49420 58870\n88284 91215\n41405 67544\n59645 70380\n4232 74644\n63410 83801\n20637 73440\n22104 51161\n2213 2902\n54231 85377\n29753 32150\n447 51184\n4183 99578\n43405 59107\n8182 26804\n67583 93325\n25278 88008\n32341 58293\n19518 70092\n72271 97681\n29581 83906\n5586 9001\n39530 92719\n68988 90319\n70102 87826\n29244 63204\n24916 95203\n51443 57079\n9489 82599\n35625 55682\n58276 95396\n10123 10271\n32880 53764\n50266 84072\n43948 86519\n46525 67454\n78186 97815\n4787 32816\n31240 65013\n31496 98635\n55778 77376\n44984 55502\n21881 41105\n55042 80502\n34883 45082\n23022 99336\n71611 74934\n41789 54670\n38823 50312\n5989 33379\n72220 89222\n27929 29459\n73240 98342\n22483 97054\n35337 68680\n25504 66421\n8233 65552\n15551 86774\n32831 42548\n8852 54708\n283 98684\n63479 73466\n57435 91787\n8606 14238\n77294 80969\n21463 91263\n13211 96481\n95461 95993\n48123 49445\n24295 83882\n5235 35580\n35625 55962\n60154 76036\n42946 68512\n17173 46054\n5633 40110\n49765 78354\n14811 72252\n79386 84216\n16826 62562\n2271 26977\n52392 67622\n11373 83714\n37196 40972\n24095 64771\n50819 53130\n70480 99914\n1545 87038\n29416 92096\n31099 52332\n22452 30475\n36692 60072\n3555 93191\n23395 32224\n11209 16696\n37029 98871\n14955 40880\n30470 91300\n72976 76294\n42173 83663\n31967 41860\n46862 58276\n28280 71100\n41800 77876\n41690 60067\n33194 47831\n28420 95881\n42122 68935\n26796 37340\n7779 74122\n21363 22964\n52276 72456\n49440 63895\n58806 63914\n72677 83878\n62656 74674\n10044 85387\n11731 21610\n15053 38032\n41147 48594\n16279 42656\n13572 22354\n47132 66741\n27558 50152\n3517 90935\n47066 95894\n49822 94508\n81576 95479\n33107 92046\n8620 33104\n4851 91057\n10569 73763\n9337 12063\n81013 81430\n66954 92045\n91098 95166\n50869 99190\n81095 91576\n19603 60863\n76139 87903\n55526 95027\n25768 71965\n13841 75057\n6118 44556\n13193 94056\n12857 70471\n60733 62110\n44193 90623\n60579 66924\n53710 73566\n64282 88144\n34094 81500\n53962 74544\n17382 70226\n8787 18028\n1961 49029\n1277 79064\n33370 35475\n47459 54050\n66160 66600\n6766 86290\n6689 80406\n77030 86759\n34742 63159\n14518 37591\n22348 34741\n67526 81262\n79760 81113\n9425 43307\n20819 71825\n51414 63292\n19609 45147\n30080 99660\n21142 75892\n33659 52245\n26131 29893\n9228 16219\n68522 90298\n36372 86755\n17018 38656\n74290 76742\n48587 86725\n54716 83095\n80698 81743\n59806 71735\n16594 35140\n2620 63834\n25889 80453\n13701 71988\n49529 57410\n23496 34256\n6012 46145\n15186 84168\n20329 54736\n22510 61912\n45952 57000\n43303 68427\n48748 78969\n30691 81837\n11616 25267\n43467 69181\n11223 60720\n76493 83197\n36023 96148\n13157 16297\n13945 88178\n25231 50268\n63215 66353\n46698 50042\n7394 16639\n69093 77227\n15708 79698\n18399 28392\n21459 58720\n70565 70645\n27054 29091\n91609 96105\n45090 97231\n67290 78270\n28288 73980\n15752 80385\n18686 89105\n17770 87588\n16627 64315\n49886 72647\n44728 79877\n36333 48377\n52133 96473\n77045 81280\n62908 80287\n64464 95841\n8825 74384\n12058 38428\n59762 90849\n35104 78960\n61103 66016\n4900 78518\n16036 82263\n56706 77758\n27515 64208\n6200 37427\n32714 37550\n50119 72503\n80836 95455\n33419 49721\n2012 88995\n26090 74546\n1240 82696\n57273 92036\n18469 71082\n155 69495\n54094 79390\n7607 35918\n25203 74978\n47007 93229\n61685 81046\n27753 53770\n40436 88261\n1966 20418\n52941 79869\n25629 58990\n28838 90040\n49196 98124\n59272 97984\n7285 64231\n36329 47041\n47769 79892\n38178 90937\n866 88946\n5691 41414\n32992 43791\n27718 86996\n76982 96259\n71201 97434\n22658 57127\n6694 64723\n37006 83864\n24392 60679\n76645 80082\n14259 17865\n20414 35607\n64736 95492\n32986 33869\n62618 95803\n20089 32787\n26294 41875\n20167 29643\n70391 88737\n18439 75011\n14031 26414\n61128 81358\n74414 76722\n5440 76703\n12798 58188\n18091 82125\n85581 89687\n30345 86750\n12421 29757\n11333 12040\n12776 20195\n83310 89673\n79980 98512\n3122 87614\n88192 97860\n11993 21427\n25833 44493\n24900 83269\n21385 77282\n14458 73448\n15194 87100\n27773 50466\n27916 60115\n72635 88341\n9876 68311\n19485 90315\n15905 88914\n66191 77638\n73247 83769\n25417 34509\n36938 90603\n24801 53203\n36151 58435\n2099 20205\n1260 9180\n18539 84311\n84501 91718\n1502 48024\n67577 70227\n51365 95278\n37611 46291\n12717 28163\n32977 67414\n30696 66452\n5934 12311\n44723 93321\n15627 65518\n1810 67562\n2963 74999\n36607 59724\n1274 75722\n2226 55556\n49278 95100\n42199 50578\n78464 82097\n27338 57157\n34323 38658\n2420 86214\n33879 73260\n19128 44546\n52193 84967\n83356 89890\n41471 79436\n9835 63044\n44818 57668\n16154 62245\n1738 86300\n7316 52047\n11327 95559\n49319 85757\n34028 55534\n31161 78229\n19096 56347\n24994 32978\n9365 14912\n44982 50160\n2549 50658\n1361 9015\n8529 97971\n30233 63882\n72875 92944\n14239 43631\n25829 98230\n6803 81115\n88728 93559\n74924 78250\n65345 71939\n28887 60076\n90382 92275\n76697 82639\n67803 95283\n79188 90099\n26260 40193\n87798 97957\n55508 62361\n883 91801\n26855 62166\n18639 64655\n33506 59335\n43266 66461\n62618 64420\n53635 63158\n55532 71104\n7990 99769\n7254 68754\n79407 83176\n30481 35494\n9015 88197\n57689 91209\n24953 43979\n7574 21651\n11065 91626\n83783 86577\n12217 65674\n46481 60250\n37540 59489\n9691 27958\n13703 74522\n37723 55143\n23391 91268\n44757 72778\n8028 47751\n92840 99974\n21393 98770\n45896 64001\n1718 64628\n86261 98004\n76862 79217\n52974 70096\n31014 37934\n17520 89483\n15923 83481\n71892 91102\n59503 59724\n86002 98123\n21620 78074\n31793 33668\n65681 79301\n29961 52129\n31776 42340\n27526 42275\n62834 66477\n33044 55365\n37542 68824\n20308 67645\n1995 40663\n18484 43315\n13444 24362\n62016 77505\n10452 68224\n32380 95907\n38795 46746\n4180 6792\n46188 98982\n6927 29811\n405 27111\n40626 94056\n648 47315\n29744 98093\n4157 95747\n26989 64704\n17155 98929\n48501 99894\n38478 90322\n1411 19404\n51685 65192\n12160 77795\n7068 45906\n19563 38318\n35068 80708\n42118 72287\n52261 82861\n57897 72269\n38092 49970\n82262 83160\n12856 21044\n12326 55086\n13752 85587\n50930 73243\n10103 66076\n7348 97003\n40501 70378\n4834 22167\n16035 72967\n17413 87073\n41721 76467\n26171 79201\n8085 23741\n35913 77452\n44672 88454\n85373 88175\n62105 90607\n58001 78964\n11920 45122\n7338 9386\n32526 37044\n31970 61365\n36222 40943\n34697 99159\n57749 93808\n46968 61872\n59006 98514\n26493 66338\n78362 78413\n13296 90409\n92179 95224\n30506 71419\n20332 37905\n31533 97175\n70746 77441\n57220 87087\n39498 79087\n8099 75483\n84554 93944\n8102 27696\n34284 80799\n29723 61758\n7320 78641\n79816 79931\n38112 51142\n61297 82151\n25430 25923\n6110 14037\n38986 80925\n5617 43117\n33225 60860\n44913 51428\n49998 85174\n35205 39717\n2775 95626\n3966 75028\n41606 50114\n1062 86104\n2954 80647\n48820 68759\n15918 68942\n68978 94274\n17171 22186\n45457 74775\n23698 30758\n3691 6131\n31987 48609\n56156 86867\n9985 61215\n36058 96624\n45907 81341\n129 68289\n40391 83316\n13702 66761\n23422 34357\n39692 63662\n5377 19613\n25735 89741\n34136 45888\n27903 36898\n30024 50603\n62057 70472\n13404 70476\n14611 25017\n40086 85533\n50 87801\n26617 33513\n60351 92553\n72131 96845\n29427 46552\n4113 55231\n10878 80788\n30978 66559\n42661 83711\n25371 60215\n7398 49013\n6554 57871\n27137 38345\n14523 22416\n73740 74049\n65161 72457\n28272 44989\n6387 97582\n40616 57544\n37574 49281\n43142 74904\n86887 87857\n37715 99405\n668 22714\n35931 68337\n9661 16905\n2770 6065\n12644 24141\n42680 46807\n32510 61449\n10788 33159\n14243 30081\n23986 30514\n5568 82191\n47576 63897\n12301 22081\n26587 79782\n18541 51131\n55076 85051\n29381 49551\n9572 50357\n64821 89160\n39737 55814\n80648 89130\n34958 88003\n24188 42837\n29617 33032\n18785 62135\n36851 71329\n2246 94016\n37447 64886\n32485 53037\n91286 92505\n5559 97966\n32498 85078\n59638 74222\n48029 62713\n35888 80704\n61222 61250\n18191 19966\n67210 79996\n2214 87581\n32050 54252\n41508 90021\n9076 9310\n41345 47380\n18356 45848\n11605 19946\n42976 90695\n20716 49873\n49007 71915\n52997 97302\n5978 25642\n5300 80011\n1688 70266\n15499 16922\n52714 75940\n3287 50888\n76750 88710\n67176 84067\n16525 71631\n7236 45282\n51611 85229\n47221 80348\n74114 84264\n13888 40839\n41147 63432\n32433 95139\n19519 22406\n16365 55609\n45088 46707\n39571 50871\n4017 73779\n10731 78382\n2402 81332\n15414 65801\n28487 50390\n59537 79110\n9839 25988\n1735 70076\n2789 63334\n1896 84218\n32159 42733\n994 79986\n395 92678\n4882 41606\n88023 92811\n87576 98648\n45722 60780\n52867 89823\n5271 76750\n7681 63022\n3910 85396\n60189 66315\n55780 71093\n35894 64603\n4693 61134\n33139 96909\n42141 86616\n61603 93639\n8050 40576\n47566 59687\n27083 66573\n83669 91193\n67478 89266\n68189 95225\n4864 23178\n32612 78555\n64259 71254\n6471 91078\n43090 65628\n148 82738\n55 20003\n24208 72687\n53345 56392\n52216 76202\n9993 45347\n71622 81446\n884 6669\n96586 96598\n2183 61181\n17446 20989\n11791 70086\n10038 20719\n53391 92020\n2117 56851\n74889 96658\n30352 68944\n85332 93189\n18787 76474\n62492 63737\n29290 81238\n2269 66466\n23752 26709\n36578 86310\n58044 67511\n62326 97397\n12098 21850\n81435 98131\n38752 44053\n33092 81017\n37528 51563\n43349 70708\n39969 97993\n67605 98528\n13552 57881\n40031 68204\n48795 69065\n35642 74043\n77688 99419\n37406 76106\n28250 42781\n73582 92918\n19508 97539\n32929 55962\n30353 63562\n5680 71800\n24588 68293\n15431 29372\n47201 56046\n47164 54057\n24787 86628\n75745 86962\n83649 84174\n39093 98935\n91638 96233\n75674 95686\n31726 53690\n1674 24115\n25055 30815\n58523 59096\n37807 60066\n63773 92246\n5933 27527\n43910 81906\n54718 62686\n33144 98337\n85271 96389\n1586 4796\n1821 79747\n9149 90882\n6972 12927\n47626 93587\n33930 54063\n7693 97293\n61393 69461\n40517 74206\n25769 68796\n81092 86153\n9074 85572\n33690 88545\n47187 69787\n41442 55253\n18506 31136\n47324 87248\n42344 92472\n34052 91386\n23152 53907\n42465 96336\n822 26734\n75956 91745\n45338 51029\n46133 54797\n51484 95308\n35893 51807\n11511 74641\n83435 90827\n30046 44818\n65871 76567\n28014 59569\n23807 93925\n82300 83652\n62772 92773\n2758 14427\n32665 36327\n37046 90733\n16702 84504\n15039 74981\n2636 71194\n346 32262\n17546 25785\n3704 44255\n33857 93951\n56010 81011\n11737 18394\n68292 93293\n32503 42627\n15247 20581\n52076 82914\n53050 87070\n28912 96742\n1393 18993\n13725 31370\n17002 34790\n26541 78285\n58602 90547\n50728 89802\n10912 85688\n51650 89585\n46383 72883\n73885 96690\n39113 73923\n56922 57240\n61056 65594\n75476 87267\n29432 47541\n9308 65513\n7240 35540\n33070 92284\n27565 42693\n34985 36175\n47053 68796\n37367 73433\n32734 79377\n55116 63824\n8095 81580\n19806 24120\n25731 62332\n72347 86351\n5037 38650\n88365 98952\n6220 65507\n20735 47026\n37507 80817\n72290 96325\n57126 59126\n19322 45277\n63100 80242\n22985 54507\n74102 99005\n37947 73731\n60901 96339\n23495 35338\n18849 89441\n8446 49009\n15310 22018\n35991 90856\n13555 91896\n14177 80070\n5727 99533\n24323 56920\n81312 99947\n4879 42058\n37110 65780\n51174 87080\n31488 67472\n34226 71919\n17827 46813\n38123 58185\n8642 29312\n56102 98906\n63124 82016\n36226 45758\n82242 91698\n24422 54471\n5636 25785\n10966 67058\n70292 84477\n7408 58290\n18379 74879\n28154 96325\n25252 90338\n57848 63375\n36953 53469\n22764 29789\n20886 44215\n21262 96382\n45427 81756\n19172 64098\n1704 31514\n48803 52596\n46003 49222\n31443 34519\n28196 72818\n44281 99408\n27922 72473\n19977 82820\n61066 81954\n25955 60972\n59652 95823\n47809 61294\n23152 48485\n1290 80118\n55764 92548\n8284 57422\n12568 20402\n537 32811\n46123 50769\n27443 65978\n45809 92670\n25290 43755\n16099 71216\n4354 11689\n5092 31615\n34174 35213\n17005 29588\n34990 62674\n24367 85711\n8307 49063\n6866 67571\n14014 55584\n6965 31134\n39689 69342\n10777 60873\n7171 15345\n59779 61556\n1624 15865\n64307 87713\n20203 40888\n50468 90106\n66909 83210\n10912 27461\n7429 81447\n8193 96342\n1709 38931\n1570 16326\n27105 49419\n41690 64982\n74915 89644\n26127 59933\n51539 79728\n20819 41300\n47570 61484\n28426 74482\n12512 85381\n79825 85683\n78611 85041\n58723 94665\n39514 87832\n38457 67431\n18081 57484\n3480 35855\n54074 58318\n57210 84874\n9217 20480\n48160 64973\n21407 51294\n42809 56322\n12010 15450\n18338 88130\n50897 87600\n68316 97146\n22421 64416\n33754 75191\n40794 86116\n18989 91561\n64278 90082\n34987 59252\n36957 93125\n84262 96831\n11961 50961\n14726 30644\n55229 85546\n19056 53399\n19302 21332\n21784 88996\n25983 68144\n1097 37745\n10586 14857\n67934 81056\n7057 22772\n58203 67836\n15004 32669\n12548 69098\n8305 18138\n28561 89666\n32329 99957\n6291 45895\n48809 98304\n46359 76650\n60962 95875\n39728 65569\n44941 53633\n59822 60444\n64922 68547\n947 52123\n78010 86276\n23097 49821\n28332 93501\n60115 82838\n2267 70989\n62153 75369\n47369 58819\n9880 92246\n12235 55926\n17985 36952\n2197 21012\n4393 14470\n27375 36888\n30546 41289\n72899 80739\n27282 65399\n8837 11915\n1907 36737\n51218 92655\n10675 73600\n31115 94975\n84272 91019\n13362 91966\n7318 12510\n45385 97199\n34826 50623\n13465 38007\n28968 86879\n76045 81943\n414 13604\n23235 44033\n1837 80118\n22814 34347\n1386 74781\n48535 53616\n150 66692\n29909 84732\n32626 58600\n4709 60916\n39502 56475\n67047 67678\n29715 60867\n23031 49947\n26292 55698\n8249 15373\n26362 55184\n35519 90876\n39608 42977\n60631 86198\n34817 69148\n24716 94054\n31038 60212\n35183 89663\n5844 85280\n10578 29246\n41365 88057\n20859 56620\n39490 80683\n65818 80620\n78755 82624\n69759 76671\n33646 42053\n62053 90884\n45854 68789\n49176 82649\n36470 81919\n2107 11455\n30562 54821\n7744 81609\n17599 33351\n23386 54574\n4450 85631\n9603 83420\n39236 88889\n92666 94171\n62280 80772\n15022 71227\n24277 74544\n58613 71851\n6734 47562\n38776 69091\n6557 16505\n14336 59589\n19680 89214\n1267 55777\n7278 95530\n22434 64949\n44477 93110\n3138 99946\n39401 75428\n73982 76118\n76551 82319\n39521 60127\n10210 95535\n26346 61649\n65439 95677\n4318 78972\n5391 98241\n37928 90326\n31190 92381\n11390 68963\n249 51740\n31131 33877\n81627 97071\n9929 62178\n51024 71218\n1276 55251\n45102 90005\n35932 38742\n85971 88544\n44830 55875\n10146 88691\n38593 65696\n80950 81109\n5673 14288\n13343 40863\n26458 28123\n5776 56413\n34569 50552\n64354 73742\n87896 99543\n22986 73888\n50256 88175\n7582 9578\n67322 81314\n6296 86420\n29259 38810\n14624 57537\n13409 88832\n38134 49592\n7474 35780\n39009 94348\n10580 25649\n9892 95926\n53002 65972\n70520 92361\n46828 62589\n61069 78027\n49270 98581\n52889 66300\n3395 33413\n24742 45011\n5178 77006\n3024 66181\n49872 89819\n11454 95262\n23011 79646\n29525 75023\n59171 89485\n54465 77847\n18016 93129\n62882 95914\n41047 87582\n29199 62050\n26167 84525\n20083 90421\n61261 75551\n3921 74050\n9909 34431\n19641 68631\n80149 84946\n2342 25973\n7017 14549\n6373 66148\n11077 47825\n28958 98578\n25617 99103\n10451 39140\n47532 54380\n66294 67633\n46774 81031\n1853 41275\n56811 68085\n4455 15157\n25686 98439\n51004 75888\n24618 71460\n16957 28776\n21666 80497\n43871 75853\n41416 76770\n25434 32210\n41315 50368\n33427 80171\n92256 99770\n8271 13840\n1238 65736\n17875 67772\n29547 68840\n55719 82356\n3319 56234\n64821 99182\n8888 41181\n5187 56269\n39629 85507\n35768 59832\n61692 90978\n19603 22795\n70567 80286\n27867 54638\n12787 74949\n37261 43956\n27064 67326\n43605 66200\n34330 96665\n16036 48358\n72792 80363\n50340 85298\n601 96255\n4825 78331\n30669 67417\n90610 95312\n5781 92565\n23708 68382\n4486 54386\n36693 46819\n31545 37756\n35178 63218\n32646 85041\n62296 97722\n15437 95384\n59547 80644\n33525 84071\n12761 88205\n41553 68425\n55030 90676\n40842 69057\n7224 59412\n6263 97638\n8385 8423\n14290 49611\n36512 52148\n55967 59432\n7245 14286\n45828 91991\n44482 78386\n48607 91287\n58833 99817\n47804 67574\n18061 64215\n36501 74776\n23541 41508\n50424 71970\n58364 64692\n83669 97707\n63549 76960\n37308 91392\n65775 70150\n22358 83911\n35026 71615\n3385 43369\n20580 44462\n22443 48403\n17594 43819\n37199 90337\n37438 48873\n4389 81458\n46246 55176\n18597 27800\n4773 8176\n3491 47620\n4467 77404\n60042 90792\n66843 75211\n21386 22994\n46065 53982\n28142 95552\n83755 95938\n45743 90472\n93688 94172\n42571 43932\n33069 67400\n34106 71938\n6333 20867\n76219 98907\n19585 44387\n9849 56426\n23844 28593\n29266 58380\n55947 81993\n23973 83145\n13580 80283\n21710 70800\n28959 48030\n86446 98443\n11240 15031\n25159 95639\n49001 89353\n53321 79063\n51702 94738\n45220 75394\n456 83755\n43963 59385\n36733 42696\n21195 45378\n9809 42669\n6571 61026\n44703 58422\n69590 70825\n45314 75790\n69267 88248\n29247 93838\n7458 97930\n13396 23842\n70267 91748\n68899 91765\n2300 11700\n65989 85364\n3622 4232\n10632 71796\n19887 58228\n49187 76987\n30081 89610\n19388 60565\n10347 50143\n6257 94501\n36452 99356\n59991 96803\n34964 54977\n31583 85484\n63984 70474\n23035 96976\n24389 70964\n6326 27675\n51768 81968\n45392 79112\n82144 98976\n18956 95235\n7882 73793\n48946 67929\n15980 86699\n37626 85457\n11763 67649\n37256 38252\n10545 71299\n22343 70609\n7774 75013\n22904 59009\n53530 68538\n71401 88020\n6691 83866\n61501 66597\n33404 51367\n46139 47801\n13217 22763\n8566 32701\n15486 73283\n29583 88561\n9977 44251\n43952 74370\n29010 96596\n1074 13648\n59282 71823\n57156 80340\n44476 68396\n9912 99279\n52568 68264\n9497 90897\n48330 97287\n83348 93322\n50431 75551\n26396 78324\n64081 93229\n11518 67018\n92310 94216\n75539 91685\n24208 42533\n11385 77587\n35028 64181\n29089 89647\n65783 96511\n17623 45220\n64074 81258\n31873 73606\n16469 71491\n35170 77989\n49634 52495\n63263 68683\n17745 96858\n66981 98087\n10299 10518\n28869 80915\n45575 97679\n51934 72344\n2668 39923\n57876 66879\n74816 99644\n18505 27836\n9170 31277\n29385 55006\n59171 80139\n8081 40520\n51994 52555\n68474 88044\n65400 79689\n20298 26956\n44289 55850\n18353 93514\n32962 90090\n31748 82967\n3742 50995\n17958 34083\n37559 59029\n48778 69877\n84323 94583\n49170 93330\n17273 47725\n14748 33394\n23551 34715\n57307 93191\n1211 32082\n43541 89317\n8440 35888\n8387 93658\n44270 46416\n21721 82665\n33619 78112\n53991 70245\n31793 90694\n2629 38498\n9417 93157\n46419 97353\n38678 81978\n12771 67617\n7024 79217\n37812 82347\n780 24641\n18876 63221\n5649 58672\n22522 38100\n73982 99015\n10013 39732\n29817 85727\n93574 96745\n19643 73653\n27656 62627\n258 87637\n4871 32839\n9505 75591\n18856 99837\n15563 75419\n43454 67495\n27706 53059\n29628 86353\n49443 69946\n14374 61620\n9070 25145\n79936 95926\n10918 79771\n84357 86988\n17478 64922\n78535 81493\n19508 66041\n14850 64671\n22147 87954\n35350 46099\n47293 67084\n45355 55181\n26904 69745\n83093 91927\n72776 84868\n39743 58274\n48849 64175\n42452 67326\n19809 81808\n43293 43932\n19189 19381\n8481 32177\n18227 92088\n31761 93561\n11744 17195\n24111 67423\n37025 71333\n51191 71742\n20857 96158\n67469 79797\n4184 47455\n16558 73267\n32385 98822\n56533 68461\n68395 79655\n44178 99033\n84893 97127\n84345 90365\n20385 56233\n12002 88124\n33623 58066\n89189 92367\n36785 83383\n39835 85283\n39603 47806\n13964 70520\n40223 88526\n37278 73484\n45065 57107\n28936 35816\n63242 78233\n42119 87176\n50251 76961\n11936 37152\n11604 18735\n3137 35019\n39700 64362\n40262 75551\n41173 60929\n5857 84257\n38442 83415\n38847 77908\n15207 36754\n36461 80621\n22709 27688\n22148 69981\n22343 45214\n9246 15447\n62325 93750\n19530 97352\n30972 49195\n61068 91236\n37323 57794\n8817 50931\n40354 54235\n27292 86213\n1896 52265\n38711 95959\n58249 89957\n16308 45302\n82831 94325\n12583 21731\n27760 31727\n46302 55284\n17219 29529\n43306 51282\n21666 40853\n75835 99740\n49065 58678\n24615 63846\n56538 81413\n59149 76678\n31931 55869\n33191 83522\n3315 29058\n55334 73246\n60703 98807\n14852 71971\n23248 36158\n67430 72202\n9592 92047\n20001 25663\n42534 52354\n49414 83430\n31900 50345\n51887 98332\n41162 77633\n41964 42268\n1228 53597\n51728 74775\n73091 81292\n61148 91908\n14431 77605\n27833 47451\n42044 62291\n41236 68359\n43680 46047\n85520 91958\n67915 70799\n62687 83965\n7300 73883\n29405 99042\n10285 60940\n27421 67126\n54979 67631\n3011 14763\n2426 5885\n16020 76597\n8087 80811\n83230 88178\n20545 47548\n11116 54276\n43334 66117\n4010 38343\n4396 33262\n42566 63198\n14424 65960\n14486 50528\n25619 60856\n2676 79062\n3568 43504\n59834 83425\n41538 60035\n26981 49758\n35676 60048\n32783 40789\n3833 75604\n27355 33144\n8710 69115\n22529 22854\n80561 87175\n34559 53811\n9727 73804\n696 26942\n7822 93704\n57033 95571\n94717 99526\n3015 41555\n19879 24897\n32554 81131\n67451 76863\n41392 74282\n55187 74266\n6419 7049\n36566 98725\n15340 99345\n4533 86817\n37434 62683\n31987 81696\n55260 55322\n8156 37979\n40343 76107\n36031 94343\n5482 20399\n15787 30429\n40639 89408\n44113 55422\n33079 66196\n8905 46577\n23333 94545\n59165 84051\n55886 87753\n29901 80197\n10641 76684\n55555 92645\n46418 64517\n70916 80715\n42759 73991\n70932 81645\n58913 85355\n35229 73964\n2354 55021\n42060 73853\n18285 25921\n14923 17320\n27136 29428\n46165 51688\n7847 47671\n23685 63754\n25419 68734\n8505 43396\n22311 25723\n14611 85790\n92212 98225\n43449 74988\n79447 80391\n48664 82211\n28552 57225\n58648 65414\n4004 40137\n44728 51231\n81413 85104\n15925 82979\n8293 79300\n63077 88777\n2701 13783\n43891 61766\n47766 67193\n54375 82378\n7268 81073\n49569 65877\n64308 91977\n5233 23865\n11350 31392\n27028 47074\n18525 40771\n12390 98328\n3219 31820\n75790 84017\n19276 70124\n377 56911\n24883 52114\n10638 25252\n46889 89542\n50293 81827\n74253 92110\n51243 75642\n28163 31463\n47360 52674\n39142 44470\n30908 55631\n35136 71313\n50631 50956\n21449 65946\n50043 99316\n70383 87275\n20150 71357\n31604 73120\n64716 81273\n11125 47199\n21778 82530\n287 49944\n67953 73963\n55162 62951\n7588 68608\n12191 45231\n42439 87903\n97134 99128\n4357 84935\n755 30890\n8625 96255\n34180 57782\n38821 76810\n36427 93077\n37650 57164\n319 64494\n20567 58905\n78187 80641\n3910 60987\n8429 29857\n11732 65120\n3679 85580\n64252 99042\n616 55797\n24277 63883\n53363 55366\n9893 13518\n25679 74319\n51280 78601\n58056 66676\n28058 58772\n32442 50868\n22730 90862\n13721 96147\n48135 75924\n7135 37386\n49379 66407\n54572 57488\n84491 89054\n9239 50430\n96983 97979\n57937 64058\n50953 68773\n51646 53866\n19794 51805\n55125 93715\n25384 36512\n52682 75803\n72434 84647\n19525 63988\n45262 71316\n91036 91128\n60929 95898\n26592 65299\n18217 84844\n69643 92767\n27721 86485\n23200 81708\n4999 45518\n64461 76618\n19694 25737\n33121 89051\n47881 62109\n1187 4641\n24252 48050\n34588 97153\n48132 86082\n76357 83836\n6999 76569\n5262 92157\n31276 33327\n39876 94044\n57041 65030\n63756 82551\n21877 74736\n12736 37292\n33652 60805\n25999 31259\n14330 93611\n50377 80981\n35295 68675\n68379 74229\n58531 88575\n22058 41099\n1589 26121\n5279 26514\n27447 78405\n12163 71489\n8539 71946\n61967 82404\n3945 21365\n5976 44552\n49294 72996\n4319 52961\n21884 76092\n48904 65350\n29228 46197\n35211 51137\n25133 77274\n49037 98886\n54839 56151\n19794 48988\n31011 47816\n19769 29164\n14428 48561\n16773 75045\n20881 85817\n98068 98975\n8679 25756\n63799 93338\n24812 47627\n19675 57684\n15322 34228\n56304 92963\n45495 78191\n23606 84480\n18822 95235\n39927 97485\n61504 71079\n11879 70917\n20186 37071\n31316 81636\n68175 93474\n19354 39812\n78302 96078\n9302 83354\n13388 79582\n12377 28705\n34828 49809\n1260 34306\n73518 94920\n32579 38057\n258 62838\n5349 15537\n36140 83588\n76550 95787\n65750 92265\n47202 64671\n47886 72040\n32646 58854\n52307 95454\n87876 89451\n57031 93403\n46178 94045\n71831 92013\n5760 47134\n17072 25150\n14243 31318\n2439 6118\n23137 98914\n17700 67224\n14764 83524\n27483 50200\n42412 76001\n6777 53499\n40938 68646\n15787 47157\n3247 45099\n51188 82800\n10494 13966\n12601 44535\n1178 17661\n52563 71767\n42379 63294\n12085 92965\n16169 18863\n64024 89290\n20726 36214\n45278 96108\n42618 83002\n50225 50325\n21514 31067\n23473 31093\n23254 80911\n2502 41241\n56754 96285\n17265 94514\n53550 96812\n31742 60485\n79174 95155\n44287 95138\n22746 92885\n74003 93337\n85178 97299\n65583 81527\n7441 64322\n1303 70278\n44496 94473\n2625 82839\n18156 47171\n83668 91538\n27200 38834\n43684 76327\n73475 97376\n35226 74615\n30798 78826\n24856 29809\n61686 66574\n59854 88266\n60499 61045\n15905 59715\n35823 66227\n10084 70142\n15876 62788\n24401 95357\n3392 44397\n86716 96634\n22463 44685\n14458 83346\n81770 81928\n36257 82976\n25203 62862\n13294 38501\n17733 34761\n4756 15864\n90363 92362\n21757 68860\n38776 77168\n11261 83997\n10495 27643\n33333 77897\n7575 68782\n10770 96294\n26234 86853\n36092 69167\n30339 97352\n60896 89142\n9069 86285\n1489 11603\n13441 82866\n61726 87934\n82685 92069\n18323 73408\n83999 96488\n11986 68384\n61863 65973\n10926 98808\n3563 60894\n15787 45250\n13518 94846\n14163 90693\n9336 62695\n10120 43445\n13180 99815\n74230 87741\n13633 61536\n36810 45267\n12602 15553\n22267 54336\n1577 8922\n57149 82015\n46896 78014\n1499 85739\n27921 55680\n4487 72469\n61966 65235\n18774 82479\n39015 87544\n21441 27577\n69873 77895\n15464 94362\n59796 60470\n80774 99285\n85294 86149\n8019 68696\n27249 28227\n6314 70106\n7787 26667\n21395 26273\n75528 79741\n65605 74246\n26424 89308\n10297 96077\n60430 93518\n46057 73404\n3025 39559\n23235 71928\n37963 40918\n20260 46514\n48624 82204\n22198 23706\n5005 30054\n15922 61206\n43272 90770\n34494 78650\n42318 50160\n27536 96753\n32516 96885\n15804 58530\n40147 80770\n31627 66589\n39489 70402\n7907 99052\n63112 66891\n37728 56696\n84242 84990\n28907 39326\n76786 97808\n69433 70069\n36002 76118\n30654 92069\n499 7921\n79783 91893\n22487 96136\n12451 66275\n23150 61532\n316 92474\n27163 62588\n68882 76650\n6646 44704\n74666 82618\n26755 70768\n16046 70428\n28488 36787\n72673 76285\n36930 69555\n37239 66066\n19977 99931\n43193 97044\n1481 20175\n34015 66147\n39196 93752\n14483 44797\n14642 17780\n35911 84382\n1080 15359\n14589 38486\n43294 52757\n34905 96385\n2477 21876\n73995 80014\n9057 50752\n57352 63901\n4325 64812\n48051 74215\n19824 90367\n46889 59664\n57484 58954\n72855 78767\n70131 94160\n55124 93015\n14859 51071\n29469 36215\n33665 72683\n42152 88334\n52779 54859\n70937 97121\n36084 77401\n8531 94051\n50119 81982\n43086 79595\n15831 65243\n63004 70075\n27224 68936\n52052 98725\n19060 37567\n53486 70057\n34350 81624\n59583 92815\n7893 59136\n10109 98532\n34791 63721\n53488 70166\n42435 69049\n8187 86008\n15253 67823\n70783 71705\n6655 95194\n704 17656\n38007 99499\n45159 50383\n12552 76170\n56930 60621\n72730 79756\n28656 42392\n35530 90852\n48764 97968\n51899 74463\n51367 56144\n3602 8107\n915 48634\n10910 26123\n24105 60736\n40876 62070\n2622 10229\n60164 76988\n25536 85263\n18283 69456\n51138 85487\n40595 56488\n55916 99811\n1119 84334\n32470 33544\n2706 35894\n2700 70105\n5122 9348\n6383 63639\n6931 16589\n35694 78619\n22736 80789\n84530 91076\n19551 44507\n13562 27351\n56346 71586\n34222 72247\n3809 59230\n2951 17722\n8460 32268\n34279 93478\n5149 75388\n26653 40363\n8496 22886\n7533 30880\n23261 92321\n14288 76725\n23610 30353\n55359 69394\n46876 61002\n34397 52981\n23482 92154\n55851 97302\n9278 94556\n70966 70983\n77279 90852\n27208 69267\n5064 33604\n37534 62117\n56857 98488\n54364 78363\n3048 75958\n327 95425\n42891 55694\n347 70449\n71718 84237\n23586 81499\n6423 68524\n46726 74740\n12954 13736\n10722 99651\n49395 80972\n79410 88320\n10912 56234\n24807 78501\n46194 79134\n21635 84245\n27204 97721\n53664 76210\n30936 81134\n34441 65880\n28128 54270\n82050 92032\n60919 70937\n31604 67391\n33308 37827\n4455 21500\n66029 73151\n26818 95937\n21720 52560\n65184 96323\n53906 54227\n5952 75626\n19259 93672\n40281 88710\n12511 31849\n17444 29035\n47661 49506\n10728 50701\n65026 89264\n35328 75633\n22230 77910\n17587 23365\n18650 33564\n46010 60964\n7915 21302\n53858 57799\n6476 77290\n50710 69113\n55717 95440\n5138 29447\n67742 97465\n55135 69909\n27503 89656\n17451 96187\n37762 87930\n50444 57768\n33119 96248\n3045 18826\n32175 95419\n27833 57254\n71660 81707\n54721 64770\n14481 32676\n28098 36753\n57673 65576\n28905 83168\n60489 62706\n10813 64896\n66475 87827\n60987 63272\n12035 37512\n41366 50670\n74773 78727\n15417 80760\n9158 24981\n16601 35903\n19215 33190\n33860 87788\n60646 69455\n45782 61560\n47826 61285\n396 40194\n17926 45800\n19260 63875\n89446 94958\n5632 40637\n70052 81208\n36720 39445\n1562 2285\n30055 44647\n40713 75309\n74835 82339\n2856 32354\n47280 98276\n6112 55979\n3453 87167\n86887 98466\n5898 88090\n46426 84051\n5392 63015\n54888 81603\n80786 96637\n24078 48339\n8286 69462\n79549 88487\n16348 26794\n40437 96634\n54719 78166\n51729 71076\n35276 91131\n54587 59735\n1401 42632\n7559 75946\n30984 71934\n94776 95218\n36775 86065\n24207 60650\n45104 47527\n1113 79435\n21757 52201\n25979 50368\n29541 89684\n28510 45694\n24221 53125\n42769 54637\n33034 46911\n72815 91060\n26923 45381\n32460 57298\n25138 84900\n60477 85797\n17778 24625\n29467 93017\n73118 81870\n8248 60094\n2744 96132\n31752 43874\n54462 98469\n34550 44579\n8738 16660\n36129 77118\n4428 31043\n34526 71389\n46971 73510\n46338 47226\n62408 71587\n11701 14215\n2820 59610\n3131 90306\n31092 69917\n54706 57142\n35495 62338\n10570 68130\n14907 96393\n23996 99185\n52067 78994\n28739 51830\n188 47335\n37278 43126\n70427 95674\n1334 65829\n15565 66397\n15015 52175\n5066 64506\n61503 88430\n502 27553\n25157 52001\n21524 38320\n22567 39397\n67348 91769\n10238 42650\n16349 48519\n18396 64709\n36127 66913\n42643 97993\n16694 41187\n34621 45676\n9474 48741\n3332 4224\n62546 71399\n67701 97388\n74384 99964\n40829 46610\n19928 34925\n88198 89084\n315 84012\n84273 87910\n32052 63231\n8702 93170\n28262 81193\n14719 57235\n10171 41549\n58245 92438\n16908 48271\n79951 99447\n53171 66965\n8563 95750\n21974 24813\n1979 76050\n49778 60400\n58957 66232\n27874 54099\n93018 99839\n13655 30459\n41906 46239\n31067 98375\n70847 97263\n35280 43448\n25636 87618\n16789 43233\n45302 87562\n73740 85933\n37 10495\n41751 99530\n57940 76136\n17145 20827\n84756 89991\n1657 11654\n40789 58436\n19302 75558\n4668 32137\n53932 91430\n32399 54602\n86245 99813\n31314 92065\n64897 75530\n26240 76500\n16714 93801\n25140 55286\n16044 29258\n72178 92399\n30662 32987\n77722 84201\n11163 12492\n49666 95104\n7158 17230\n27175 87986\n64310 99986\n4352 93692\n5891 92463\n23621 52394\n26009 72806\n6745 79845\n59041 81102\n764 66057\n64754 83520\n31188 72337\n56108 90220\n23091 53071\n25564 47319\n2651 9377\n2693 43167\n10250 18690\n6102 54707\n78264 79255\n61284 66644\n58579 83199\n31088 58832\n5708 78810\n37009 58044\n56856 75002\n65648 83307\n49250 74794\n14380 58212\n35939 75187\n32044 85095\n30524 32691\n51621 95494\n4604 77602\n41022 51787\n347 31101\n70451 85287\n50382 80512\n14670 99849\n23035 36143\n19501 85013\n85728 89968\n33820 73940\n29374 51307\n28952 52916\n8363 67085\n18667 71545\n16221 21156\n6823 22706\n1651 80286\n14332 46963\n26024 79360\n31548 91590\n31743 37524\n52941 69200\n74671 80418\n34181 74541\n9673 38622\n7682 76234\n52297 56820\n2955 68544\n69489 85091\n64575 82573\n28961 50483\n19599 50463\n68958 99729\n18136 63368\n35609 71463\n52595 91122\n31293 45162\n56289 63657\n15867 60092\n42412 77269\n32616 78601\n4460 22401\n80031 94532\n54552 83028\n3409 87002\n21131 87784\n15172 39947\n16762 44667\n75276 85841\n44614 48584\n61595 75168\n41868 98811\n26760 52557\n81689 95691\n62155 99499\n31892 80182\n34181 90428\n38132 79947\n13605 50610\n9390 72516\n4306 40441\n2364 11139\n31178 62975\n11017 20549\n28571 38703\n24347 45323\n27106 56328\n29265 86596\n73658 80387\n313 56752\n2492 4927\n7750 22067\n81664 84993\n25953 36659\n19864 69366\n10464 41241\n52849 84749\n53186 60409\n19711 98780\n23858 76474\n8638 28083\n1923 84221\n47034 97502\n22573 37763\n48127 96558\n13055 53621\n49070 55464\n71171 95512\n14870 26931\n11548 95715\n40241 78832\n24813 44342\n38134 54752\n1654 4673\n8500 75293\n77479 84106\n59151 85374\n11915 73297\n64759 86000\n36424 97075\n22147 80730\n41698 78772\n82033 89658\n10800 85123\n28333 55059\n49825 73974\n49878 76434\n91274 94617\n38144 58450\n65096 74567\n57493 95445\n4814 48035\n17995 53079\n1242 38522\n716 67473\n63897 89922\n24562 87556\n70380 79579\n40236 90904\n53421 58575\n44899 46076\n18780 77466\n28070 42820\n70867 73221\n49718 93948\n60881 85186\n8251 79147\n10616 37778\n74621 80090\n14523 63117\n49879 85893\n10358 63459\n85983 92888\n52468 54548\n12245 13199\n9447 33760\n65462 96963\n35560 44024\n48155 50350\n180 83518\n44755 72041\n36984 41351\n68008 83619\n6571 80736\n8428 92600\n18173 52429\n88535 99303\n2980 16225\n66718 96923\n30711 31342\n87265 96457\n6470 96424\n24548 96337\n48648 99437\n52281 55794\n3638 95782\n9374 47089\n76174 81635\n42317 73377\n83274 90838\n1413 23040\n25261 68388\n39243 67744\n10654 57143\n64293 71702\n5412 64389\n33123 48619\n64973 71118\n3816 5320\n78799 86396\n44086 82619\n18602 38270\n12516 49458\n69922 89285\n70909 85052\n71160 96125\n31923 99288\n33356 71394\n980 23013\n69404 84219\n23029 25532\n51474 66726\n30292 34832\n15886 30180\n31954 45897\n5954 37152\n90919 95353\n68382 94794\n62393 82192\n88123 90899\n93036 94671\n37854 60611\n76126 88373\n23323 91562\n35444 95563\n2689 3103\n20597 86572\n38046 58075\n62654 74946\n50213 70304\n39473 58774\n50545 72608\n418 16374\n64148 85456\n34667 85467\n11573 30867\n23306 97189\n37015 63465\n19292 61532\n67173 80828\n25683 36262\n24763 83997\n20519 92223\n25303 81680\n22933 26566\n92716 94679\n61260 74690\n5291 75671\n77925 87165\n26793 86740\n17508 30202\n62283 83876\n85032 85850\n3011 63605\n107 12769\n74693 91945\n19181 71805\n2240 27504\n4348 38910\n36466 43107\n50766 84950\n17309 36309\n90910 93297\n25123 63140\n14920 78918\n28257 79069\n59385 88259\n25079 62927\n9165 92706\n84473 92626\n23484 98533\n32181 34592\n20411 42231\n3921 37891\n64805 93190\n2363 14350\n57246 77155\n21081 24317\n51195 58139\n20172 42898\n16887 31439\n33155 79346\n29734 90892\n91092 91847\n9429 46178\n40618 95312\n42765 78080\n1356 37491\n1074 34159\n86242 87739\n53427 86468\n75344 94477\n32356 97735\n7137 65940\n23403 27157\n999 29807\n22665 75506\n36471 51075\n14473 57106\n44434 50489\n57772 61037\n21041 99997\n7644 30307\n88375 92626\n7514 31737\n86844 92035\n32123 89304\n41737 90167\n4599 43530\n45408 80452\n13782 22616\n5350 79881\n89677 99191\n88730 95199\n68179 79308\n42525 94273\n30105 80867\n9535 52010\n13339 82434\n2769 65843\n2248 60302\n11737 56502\n21899 47701\n2741 13549\n24610 51854\n16701 55810\n69976 91042\n58077 61038\n22114 74577\n57847 86082\n12269 96216\n3900 19654\n17951 54058\n54236 81482\n5472 38930\n65266 72575\n46399 88544\n17473 33148\n69331 98766\n58747 88699\n12703 74184\n2298 67032\n36858 41038\n22103 62836\n16330 37425\n27877 56636\n53320 90741\n92689 93021\n96091 98399\n10987 57357\n74235 91400\n35401 86617\n85167 86788\n7348 16861\n20366 61015\n24197 93297\n38191 40954\n15657 22069\n67751 93022\n56252 74082\n66113 83565\n37097 49011\n2921 59181\n18486 77582\n14506 98092\n61196 64980\n6685 23438\n35705 62691\n47206 64502\n14085 22964\n44836 81234\n20804 36117\n3948 69696\n22919 85725\n46832 83739\n31669 40935\n28373 72029\n44547 88146\n37927 73000\n27232 73999\n62235 71873\n19024 31911\n25892 97213\n3454 21102\n51202 99476\n339 61542\n34269 51180\n67718 67854\n26593 88212\n27629 39745\n42436 60848\n53173 74596\n55793 64360\n2327 71297\n2563 71720\n51882 91982\n21425 50720\n16476 61566\n39472 94922\n59490 76935\n51749 81289\n43078 88533\n6648 22072\n41604 45073\n44968 98952\n63738 64059\n3311 38561\n28280 71189\n4738 96997\n22674 80523\n60997 98718\n10147 50865\n20028 87236\n28722 29414\n50541 94885\n48770 66416\n45486 78926\n52147 68836\n31711 32742\n18128 28270\n24573 28181\n34793 74100\n4103 46355\n27242 36451\n8180 66245\n20925 60882\n67832 70776\n36006 96219\n9238 24354\n26228 52950\n77931 95060\n19515 29172\n64858 85760\n61257 81631\n14092 76007\n15097 34574\n51342 63273\n37386 45547\n58438 98870\n90471 98299\n30326 96130\n61975 93862\n66104 93162\n78869 79932\n23882 28120\n52195 91005\n10856 21655\n23297 87675\n16243 47751\n1399 13222\n37128 39172\n49868 63753\n2842 31721\n4184 70892\n16489 47098\n24753 81336\n19638 46782\n62001 80904\n59710 67428\n14486 63745\n10821 25822\n15961 89445\n1876 15650\n4022 16952\n53857 82226\n7250 97550\n8168 47940\n25900 53726\n32656 99120\n54262 70506\n52294 97953\n21382 55453\n56634 98719\n21577 92053\n5907 30100\n84829 88328\n30342 73553\n35766 88016\n10614 45192\n12948 64444\n51425 58407\n54040 89422\n11736 28831\n54890 60371\n76257 94853\n60489 94992\n62308 93950\n18512 96122\n12032 78919\n4544 52538\n55898 89802\n6216 74734\n28535 70562\n4035 65003\n10711 66022\n65021 75717\n46500 78549\n83851 86716\n12112 55774\n27972 93117\n36408 43277\n50593 77542\n15249 31006\n65180 90808\n71401 74662\n6141 44865\n69186 76947\n42764 71494\n28185 30263\n63 42130\n5700 47599\n49058 60102\n52628 82266\n19804 75283\n79648 87156\n28805 89569\n44782 77973\n47464 62462\n11065 50393\n46090 99527\n38006 62760\n9111 59569\n27678 34958\n13068 46175\n58713 65794\n3356 69371\n13662 72828\n72665 83991\n1645 32822\n13690 66253\n75558 89106\n39706 71519\n75405 83868\n20499 77810\n68568 87047\n7465 85251\n46618 94403\n17343 84547\n17245 34224\n32124 56208\n2003 63319\n308 83108\n44111 99851\n56652 61630\n63106 81977\n7261 85319\n16249 37390\n55019 70332\n76470 89680\n28426 87403\n26376 61462\n34214 56164\n71447 71663\n84454 99468\n10850 13247\n63566 92129\n16718 60788\n3909 78534\n10443 20179\n45899 60549\n18407 49634\n47467 68077\n19775 55310\n7331 22270\n48087 89994\n75392 85188\n16819 71440\n11951 44294\n88371 96563\n33171 88697\n48961 51053\n19336 81772\n45192 80563\n12944 51249\n6022 24825\n67155 79947\n52001 87095\n6720 96702\n30324 47770\n59004 93212\n36832 67416\n23878 72417\n59669 70242\n20179 50158\n54677 84271\n16292 89319\n57255 74281\n3846 38632\n57096 90826\n25655 82175\n24640 93784\n57966 83614\n28913 70473\n23669 61018\n66090 95254\n63177 79402\n34795 91627\n7899 10840\n9291 12633\n22648 30396\n67896 74650\n47880 89124\n29840 71651\n47846 91504\n20944 71741\n9926 55952\n3282 47075\n20961 79135\n56698 91013\n36715 63804\n12037 16141\n55154 93183\n42545 66936\n15036 98368\n11808 54047\n17051 51248\n43805 82805\n20063 40559\n79377 92001\n13993 88622\n3247 9687\n53883 56433\n14596 88882\n10914 76402\n39957 70644\n25217 43428\n55595 89044\n31749 42956\n39574 42516\n14014 81498\n68299 71841\n37840 58589\n35477 86093\n78416 80037\n27736 80847\n28349 30142\n28409 42201\n13239 29878\n10672 67338\n30203 58569\n27189 45011\n36412 72896\n30015 39725\n61810 89573\n31278 40020\n36448 91064\n7352 80556\n7767 95759\n66212 74665\n6608 95983\n27138 90430\n40358 79877\n13059 50914\n25354 40856\n80934 99030\n154 95314\n7108 76225\n12347 75011\n252 9327\n1996 86034\n12340 86719\n43660 48715\n20076 22292\n83267 97202\n1760 35329\n17200 55386\n1538 52951\n9296 77413\n11894 85113\n1156 71556\n56112 75961\n16452 42229\n31899 59128\n16993 50790\n28828 52833\n37592 92696\n23425 73273\n82156 98308\n33935 72809\n40128 50484\n32215 63976\n25533 33513\n262 31498\n39049 65269\n9155 76385\n19168 19941\n19618 32907\n19616 87825\n51440 67403\n4341 42539\n5751 52661\n4719 57969\n42180 49284\n12834 74831\n27437 46432\n61158 62524\n59847 71667\n13033 41831\n2074 84952\n8232 39109\n15113 44541\n25910 65922\n10659 28300\n9982 38690\n35436 46026\n74979 78847\n30483 89545\n20557 81321\n53923 76155\n63212 99189\n93621 96982\n54691 73967\n2879 63261\n7690 60693\n7005 20445\n26897 50223\n27919 87833\n35630 73777\n51284 93758\n17164 27992\n53482 80845\n3470 56675\n2388 77784\n53371 58621\n38584 74402\n21320 77787\n45919 93540\n20458 51903\n6762 44384\n29714 97525\n12597 94012\n16013 27809\n56339 56514\n67130 92169\n46204 90376\n32089 96020\n72803 93000\n7634 60439\n74468 88530\n79810 92340\n59262 76734\n50868 76246\n62403 82718\n55747 84766\n16352 18558\n2310 74433\n66208 93270\n68915 79494\n16592 37541\n67271 79388\n6661 85635\n10400 47209\n15039 23263\n73771 90106\n33684 87020\n1359 16642\n35915 35955\n71081 87425\n20041 72021\n17039 57782\n66485 87389\n41759 88636\n36501 93381\n44122 72811\n75221 83128\n62990 87344\n50446 52404\n48958 63915\n63170 93334\n50818 59541\n5505 27856\n71350 89861\n28290 80482\n32244 79092\n30977 89555\n9106 19138\n24278 93479\n14889 80455\n4814 10152\n12731 48257\n4396 90893\n66981 83261\n54798 66791\n22146 57592\n34276 66562\n13478 86359\n21106 70949\n33897 44874\n945 55705\n14451 69292\n10480 72353\n64859 85995\n80662 91351\n33595 65540\n43489 94765\n11684 71091\n27351 86329\n47259 90018\n64085 72963\n9750 42670\n6035 38439\n70918 89895\n37527 83822\n23801 96455\n5288 23969\n18333 53084\n1446 32139\n38510 72997\n1133 55768\n76234 89958\n13283 21427\n43644 82806\n16446 23915\n23088 24175\n17412 33464\n41171 75236\n14656 17427\n34787 55205\n20001 78849\n15571 20682\n60250 70993\n40116 60209\n17256 27631\n27156 75002\n6803 59125\n29501 51479\n8630 93372\n15518 93307\n36856 64480\n658 49768\n49663 86064\n49862 95943\n66939 86206\n64481 75525\n17341 88136\n59532 98607\n307 3342\n16422 59565\n29384 62996\n57072 94896\n16821 82072\n439 63466\n206 33489\n64829 84772\n26018 98849\n19452 66121\n18393 50472\n38942 81987\n13772 40202\n22050 47822\n61969 72289\n4762 92141\n42549 84745\n40609 60041\n19036 95275\n36290 72249\n27551 67693\n18946 80131\n43864 77142\n32377 72781\n41427 61518\n28669 97486\n24986 98916\n62415 98145\n11030 80452\n52049 93124\n28342 77006\n40089 97748\n64999 79254\n36144 82298\n86658 96091\n11964 45912\n23802 55137\n18884 57874\n11601 18470\n40810 54885\n2012 19606\n9049 30038\n10679 42089\n22240 53625\n4310 80971\n51450 78336\n70486 98528\n30767 57810\n43901 85325\n18256 23566\n29610 81126\n28452 54000\n2340 92056\n69932 98636\n53747 89060\n8993 9782\n9559 71224\n2897 65847\n10205 25070\n81703 81938\n23704 96847\n9125 20946\n87045 95805\n25957 89805\n43498 80602\n39444 60650\n67928 98632\n74669 92675\n13723 52258\n20557 86523\n55291 64123\n59286 91728\n18407 67695\n14578 74048\n35682 52141\n55656 91252\n10666 73762\n10170 89843\n11628 29106\n25440 25665\n20770 70375\n76756 99096\n32521 39578\n91577 92576\n14071 19542\n3938 8083\n14306 65240\n47465 65258\n60281 82086\n56212 64552\n36782 57397\n6756 20000\n20611 36870\n84039 85292\n80500 83705\n12402 84518\n22708 67713\n26029 34108\n27055 87771\n32742 73972\n8191 93286\n34838 57163\n41958 65910\n22547 69220\n98559 99861\n19000 79291\n46792 58812\n29453 99551\n32437 59705\n26937 82931\n69177 72246\n55012 62145\n16344 62701\n37194 89612\n58833 85657\n26178 55113\n2705 84459\n59906 78739\n9199 11364\n24996 70990\n32900 72662\n42405 45770\n60207 88152\n11260 58862\n17260 95482\n12603 52606\n16698 61734\n20235 25440\n71896 97755\n29666 97866\n19866 51892\n9918 50992\n9300 84182\n49489 86901\n12023 94874\n80574 95900\n88580 89473\n33874 62152\n19122 52114\n14744 62330\n533 36883\n8980 73028\n37696 53075\n22995 52010\n37720 98601\n52150 79678\n12334 40221\n56997 61682\n26499 28958\n50412 94638\n49887 79012\n74599 99623\n14054 26884\n55000 89716\n57253 70275\n16877 24032\n20814 95965\n53295 74633\n53551 94193\n46861 57501\n35994 75391\n93008 99886\n45287 59591\n20847 30072\n6009 92071\n21340 70633\n36053 39069\n40154 82184\n10589 13772\n23526 34806\n47552 58316\n9061 60969\n37376 57509\n31192 83666\n61049 70502\n72655 90370\n34266 42979\n27790 95983\n28791 55611\n11778 85675\n89623 96564\n67952 97657\n854 99360\n9136 41477\n3207 15094\n19402 27464\n62391 77767\n15721 79909\n83785 95450\n614 10544\n22401 72426\n57943 77663\n81071 85117\n8626 84968\n47201 58254\n5803 63242\n13916 91921\n50738 98557\n17589 18832\n97185 97901\n46924 84716\n33044 69067\n21826 63902\n41716 96844\n49727 57334\n17143 67633\n43082 58543\n20816 37287\n17398 56406\n25191 44573\n22383 54054\n58220 75687\n37363 47155\n58191 99125\n15541 82094\n10629 15896\n58534 74260\n29019 46485\n48433 72499\n36375 50387\n47789 63150\n23818 99629\n18996 84103\n77854 91176\n77119 85777\n52460 65598\n25570 80428\n71115 74028\n36000 79029\n68877 95326\n5086 98422\n7417 60452\n29015 80394\n40037 94810\n15251 50579\n36420 77029\n44 97273\n35516 83854\n207 60105\n66920 94418\n53388 79978\n48435 61929\n25731 76022\n17751 42261\n54622 74528\n79901 87316\n49034 81477\n33168 91125\n1999 85350\n39457 58988\n36594 65207\n17209 71875\n61344 88126\n21951 53396\n25864 84900\n8378 18735\n49354 74750\n35118 65866\n21847 80738\n33291 59643\n27574 57959\n36088 89167\n51585 88513\n795 97011\n7150 26122\n38763 88455\n944 82142\n38842 71327\n69551 77739\n47659 77730\n21980 35884\n49252 56359\n52661 82004\n18360 83274\n64737 90948\n12923 98851\n7178 37122\n31826 55473\n27034 88621\n47464 62430\n69148 86488\n27988 78664\n6958 93932\n39513 94337\n3316 88994\n49617 71930\n22014 93183\n47912 61490\n11235 56995\n1563 78690\n57985 65906\n8688 67723\n9511 96665\n20346 92444\n3628 77372\n36027 69234\n7579 80958\n4202 43230\n47554 72461\n50584 64472\n27405 49236\n15551 46998\n39296 86044\n1129 31570\n36656 76838\n63900 86043\n39140 92424\n12589 19167\n5691 48944\n13333 62576\n37944 50839\n1574 72675\n45253 83051\n22913 96835\n42558 46103\n19943 42676\n15986 99284\n56376 66157\n1519 27187\n29192 55820\n47855 98688\n20189 90231\n48188 58081\n538 72300\n61264 93237\n60734 92340\n65409 92809\n11066 51032\n9788 87804\n13558 53689\n1073 88560\n55358 85703\n13176 54943\n18448 67426\n66363 84266\n34005 98071\n38000 62308\n26730 66836\n70169 80366\n33767 47237\n49717 81617\n54660 57929\n62753 64545\n9046 20696\n71371 97038\n26644 37282\n13678 33631\n18732 19333\n56261 93053\n52535 90869\n13477 67929\n54253 54568\n8100 30477\n6549 24604\n71251 74461\n39182 39842\n14336 67850\n39164 49550\n34496 70689\n58055 71348\n2069 65640\n27935 58725\n19848 88320\n73764 76596\n43826 79080\n76202 94665\n55940 80839\n17160 79037\n36284 44975\n61638 93924\n78620 90651\n15332 52574\n15594 97313\n18375 50486\n25738 29308\n73396 87973\n30362 79690\n25480 91479\n754 16961\n2852 86939\n21150 45420\n4845 7523\n1387 74268\n5319 56019\n1829 17261\n77741 80279\n55670 75772\n41799 54421\n23711 66665\n13663 14189\n51066 54377\n95335 98156\n14474 35037\n71714 78286\n13681 30238\n41384 99968\n4056 24523\n37200 45046\n20961 97969\n22520 80271\n11416 25856\n37025 40828\n44465 98372\n66059 67870\n54591 76271\n31402 53579\n5321 42566\n48229 66693\n83547 93204\n34171 57180\n17769 36901\n84527 89423\n21943 93312\n17422 82034\n58890 93784\n26056 37395\n75226 87284\n75257 94491\n8395 96175\n56991 82458\n65873 83608\n1584 42931\n58508 61262\n32034 43902\n57840 96656\n4110 19086\n64170 86474\n10248 31749\n43226 98986\n57583 58267\n44266 54377\n9239 30912\n25133 76299\n17198 71108\n32701 71579\n21174 83829\n18282 75496\n71308 87125\n43236 49664\n2058 46487\n66562 75094\n47211 71048\n26562 49083\n6437 70252\n59078 63515\n73597 80380\n46807 79539\n28912 99290\n19445 46901\n22146 80421\n11910 26048\n35281 64005\n58917 59671\n25232 25683\n9496 61724\n39107 93145\n27138 92116\n3415 65229\n3565 66300\n2011 56757\n54386 61148\n4932 66135\n45067 49857\n31911 34742\n21538 22459\n85179 96576\n93706 97294\n61950 82899\n40372 48742\n44820 88506\n22161 49420\n72620 78807\n86666 89044\n14692 22859\n43905 88793\n11328 13384\n1227 36698\n51860 56519\n27287 83854\n6983 87124\n24966 40189\n11475 64573\n96246 98602\n9798 28700\n35221 83882\n12722 41579\n11901 65012\n34636 77591\n78474 81382\n26623 37162\n2537 91650\n27088 86448\n6459 86469\n23315 85362\n52861 77094\n5119 23234\n1129 10692\n29311 79070\n55029 96635\n1691 51240\n82151 86158\n21656 85782\n92364 96165\n38760 62814\n63400 98693\n4629 17407\n16505 54379\n14057 26908\n4823 71354\n7315 81161\n74657 93158\n8646 26062\n1317 50606\n37545 45751\n4051 27812\n17234 84483\n19672 96041\n13107 81635\n58829 91157\n1854 66097\n34091 88394\n80444 98326\n1999 77713\n45298 56543\n819 29222\n72327 72864\n4744 46036\n15834 22828\n12250 69433\n59677 71089\n45196 68853\n42763 78277\n486 46174\n5932 36502\n62404 81236\n77468 97824\n22901 93382\n12103 62755\n15064 92333\n39463 70376\n27242 57524\n31449 70837\n36526 54114\n5245 36970\n12780 90772\n24631 76632\n30471 31525\n67918 85223\n45397 58025\n2957 39087\n48123 56073\n965 18055\n34351 97866\n4093 23965\n22704 71268\n48761 64086\n41211 88167\n25544 42390\n24661 98371\n7049 26962\n19413 80822\n27032 89726\n86357 98258\n39930 61856\n2608 42468\n47013 93261\n26180 64177\n84414 89205\n61415 61632\n17888 68316\n55645 76299\n41123 69683\n25276 73134\n65303 93230\n29537 48166\n47046 92131\n50636 94895\n29678 74313\n13596 49432\n56085 88715\n21864 96439\n26966 49926\n57000 80814\n8686 58711\n55531 86017\n13487 16296\n40651 68221\n6092 22467\n7978 70406\n4785 28635\n19292 68050\n57813 93852\n61309 94066\n24680 65783\n39654 73360\n83073 85118\n16505 91303\n18722 76515\n74798 97061\n33257 36602\n469 2309\n33901 74441\n12142 30659\n2089 77152\n59062 85186\n33027 48920\n2988 73735\n20864 51113\n42422 62299\n14708 63901\n30026 44733\n26181 98404\n21722 36824\n39385 49647\n68741 74108\n72614 98534\n6570 75186\n6001 75025\n51238 60862\n56729 81476\n19698 78909\n59542 89548\n63450 68706\n11260 74496\n74529 94440\n27058 87729\n19756 96695\n17274 77855\n35092 49529\n14031 50164\n75735 91386\n97151 99032\n9142 79421\n67902 91789\n14264 27675\n8290 84035\n17101 24661\n13550 28170\n23802 63839\n74700 90531\n14324 38791\n2818 25448\n91693 92046\n84575 88962\n35172 50823\n39191 71056\n90800 93108\n55870 98472\n49352 55018\n51621 98408\n12369 82122\n15017 43682\n7302 62434\n36 57186\n21720 31338\n3205 64998\n4033 11535\n73074 78205\n23321 24228\n9028 14000\n15246 82394\n94315 97680\n15003 74695\n33613 46767\n8262 11125\n69681 91457\n4209 93561\n18681 37692\n41712 56805\n47943 73172\n6586 71803\n26014 27272\n55364 76740\n28821 82693\n799 64318\n3496 95549\n5367 57227\n20064 96282\n7377 85333\n8003 98342\n3159 98423\n791 39818\n13801 89236\n4531 76313\n22672 50179\n43013 79907\n25760 79565\n43926 45383\n70319 70772\n9998 27853\n4281 63770\n35429 65616\n70642 73092\n15211 40405\n10123 37811\n3616 75925\n42336 66110\n32713 45058\n17894 35714\n3128 20335\n8757 20435\n934 82189\n11568 68608\n24650 64246\n9475 99179\n87017 90453\n69109 75082\n16913 40832\n76837 84521\n2481 89177\n20011 97290\n70483 93696\n67905 76314\n18722 36948\n4389 78525\n59424 75183\n10348 84602\n19215 68274\n50253 91414\n14608 49264\n35779 59725\n1981 29801\n48032 83739\n45103 92152\n86709 99305\n28336 68880\n9738 32141\n41626 55304\n80979 81375\n14109 70828\n42526 85773\n11306 53113\n26423 46804\n26088 38247\n46282 78893\n55493 71908\n10960 62797\n14548 28474\n15054 32420\n87825 99768\n53517 55530\n85469 86707\n35712 65804\n33669 71227\n22610 38433\n23192 93760\n42187 67743\n40316 43165\n22719 24006\n21333 54627\n38666 42223\n89328 94484\n41646 89111\n7208 11816\n58056 88541\n29640 98984\n39288 67170\n23923 31397\n87188 95748\n5092 11341\n64214 95853\n58326 90459\n28953 83591\n58239 96431\n53596 60692\n76864 97119\n22817 95705\n2504 73266\n3029 13553\n20085 70582\n27498 84773\n44163 86280\n8629 32256\n50334 68813\n18953 99377\n48212 73547\n30145 83940\n63142 96500\n35122 53142\n47139 49108\n44669 49513\n45274 83677\n29665 45801\n48209 88719\n64490 91055\n69882 74912\n1338 18921\n31467 32748\n33045 74780\n60520 85839\n33084 50490\n5960 82054\n64854 92018\n10881 74808\n55731 69039\n31516 33427\n46707 65117\n35036 91472\n20874 72674\n20658 91025\n72201 94165\n28140 51012\n4694 28826\n41928 98815\n7168 18549\n41009 48005\n8689 26749\n38193 41777\n67063 75838\n50333 76658\n11920 35571\n62947 86914\n4069 76133\n88133 92691\n55151 67794\n33184 79818\n87665 97434\n59348 70576\n23415 65270\n60411 93359\n1834 27758\n2241 36430\n49987 61420\n60659 90428\n60172 92408\n60912 70835\n30473 33202\n61567 69570\n15149 19709\n15313 88544\n33668 45683\n43805 69775\n56452 90218\n804 70217\n73944 94060\n11955 31755\n41152 90664\n41511 53304\n43454 74781\n33509 94849\n8999 87939\n76480 94338\n25660 78759\n48900 92787\n9594 58209\n21292 73977\n45530 91249\n12858 52322\n24749 62537\n26181 40878\n25746 76889\n55340 79459\n7526 33627\n6182 84603\n16519 89644\n26666 80229\n5528 87192\n15088 67967\n71428 82581\n48781 92739\n32655 77483\n31657 61439\n43375 68159\n8709 49451\n1883 12700\n35437 73963\n66908 86120\n7289 81639\n55600 86887\n20867 85776\n32068 96121\n25313 25354\n21583 48210\n80306 89935\n4486 92476\n5648 85558\n34003 99284\n40997 90488\n21378 70300\n5115 69869\n21264 36770\n22081 59111\n15590 31007\n40221 96062\n14307 72466\n52445 91441\n6945 20999\n9826 41800\n34745 57389\n50203 83608\n2431 89788\n54005 79999\n25035 53317\n10212 83872\n87072 89483\n33348 48755\n39451 69918\n35929 62418\n21738 68942\n640 73320\n28642 58779\n47780 94266\n70226 79194\n7200 91941\n15450 57376\n1624 28148\n56592 86875\n2300 75156\n9655 75685\n26024 91341\n2301 97483\n10453 12794\n815 42189\n27608 50880\n50649 63886\n35143 98926\n43855 85972\n90160 98061\n36824 99932\n46885 97197\n48122 66664\n16211 52176\n86035 86050\n88712 94275\n62398 79034\n3416 79178\n11871 35039\n5436 53213\n1401 62579\n45134 85019\n84342 89659\n8646 92855\n86171 98913\n38061 71144\n38722 80495\n77105 86819\n42625 84938\n5051 28613\n93385 99322\n29938 32765\n22291 73476\n72432 76124\n17053 31908\n885 14730\n6004 97322\n38620 58256\n17758 46652\n41223 80200\n38749 70339\n21602 78653\n50694 83686\n13476 61457\n793 68966\n47305 89267\n15109 22784\n11888 37088\n29341 65101\n41692 76876\n6086 53561\n2819 72178\n40428 73851\n16441 19065\n23744 84162\n15777 82537\n85165 96416\n36589 81178\n36868 68905\n31495 58837\n86479 91511\n52327 82689\n67530 79837\n7972 80097\n71340 86729\n80734 82448\n8193 31456\n20698 64927\n62706 81204\n26723 49396\n28494 96992\n12383 74914\n31376 46072\n13996 14826\n43827 64951\n32488 54228\n18493 29258\n36539 95291\n37241 71526\n4538 63815\n47469 66193\n39203 88528\n8124 14517\n85741 88393\n55246 97450\n31363 56602\n13735 33517\n12299 32460\n9124 47077\n16938 29747\n81683 99738\n43819 50280\n7511 95584\n73749 98981\n1817 57006\n45267 74411\n46398 67929\n44030 84309\n94680 99603\n55962 96919\n33271 57625\n33298 50296\n23179 62243\n73207 83856\n13242 54716\n16587 55611\n29111 46990\n21237 94164\n39844 46491\n27180 40727\n10913 70088\n27838 37114\n57488 80266\n16210 72636\n9182 34752\n74742 79283\n35251 37201\n2273 97060\n38170 60622\n15539 53070\n7583 46227\n59206 90104\n12926 22636\n3703 41321\n61867 84169\n37770 51570\n7802 57420\n23115 96667\n15493 94545\n29678 63813\n42125 64009\n73323 96631\n9136 28867\n3407 72907\n74997 99817\n29271 98785\n57159 78505\n21481 31672\n37309 66384\n69132 74316\n34858 97126\n37110 87096\n71083 95555\n69656 77227\n22913 48265\n60844 80064\n77170 89450\n10020 33592\n49830 80583\n47905 61030\n63571 80505\n53094 85728\n61044 66721\n6566 15175\n1164 60086\n39539 70256\n38895 98640\n15237 47461\n84155 84709\n69358 81408\n28186 32490\n10054 67541\n9737 91019\n28468 93474\n17707 27285\n1186 83521\n53546 61244\n37279 59336\n39722 86850\n48105 69453\n81227 91681\n58088 85791\n68629 69492\n45465 57058\n76190 77638\n667 3979\n7084 38114\n36209 62749\n46928 55507\n11571 30790\n49926 65191\n21331 65872\n25674 88315\n39859 40363\n24332 51736\n42510 65526\n35634 37213\n71166 78723\n4917 66435\n38125 70877\n54666 68449\n97628 97700\n39794 62996\n42555 72683\n46818 86469\n3419 44837\n48316 67880\n199 26106\n6424 24457\n21829 49847\n15843 51889\n45885 53176\n57648 87673\n17478 22377\n12725 38534\n15737 85080\n22152 71827\n27324 86136\n14187 72036\n29661 91038\n53377 60720\n72826 82013\n18879 70833\n61413 91224\n5781 9586\n77560 80776\n6413 49905\n60384 97928\n11032 89178\n44935 75742\n32115 39438\n23400 98583\n26012 48213\n30280 53440\n5553 77424\n28678 40819\n71008 82946\n40417 80673\n23020 79767\n24509 69350\n33178 62760\n24844 68070\n88805 89800\n30014 49863\n37042 47443\n32630 75737\n26238 94495\n64065 93320\n73467 94211\n24403 96227\n31167 97105\n5124 74996\n65635 82557\n8209 20929\n5484 46009\n87615 89967\n11802 60686\n55879 59202\n23053 72906\n13105 62267\n10787 21832\n6361 67487\n59149 68871\n25630 74582\n24960 97383\n24217 87735\n10532 17217\n49981 60577\n35791 80286\n52845 70746\n49119 96426\n76913 97501\n25545 95796\n22709 47182\n30353 33082\n17237 95433\n12614 48522\n35536 69555\n33988 36897\n22007 52909\n53796 93461\n45683 81603\n43363 88431\n15873 66435\n69789 93241\n11683 74843\n13828 57481\n29095 56171\n25699 37319\n6885 90843\n11422 74901\n54875 73005\n13309 57895\n28585 28856\n61757 87346\n52649 92200\n11291 95646\n61654 67509\n32422 97594\n20928 45315\n10010 62715\n14230 37900\n26539 91520\n35681 61224\n74421 76613\n20309 48711\n54291 94525\n47970 83549\n2642 26366\n67188 94956\n17266 33678\n17912 19519\n50270 58235\n37992 70814\n19805 76216\n1969 19299\n43178 76742\n36607 47392\n22092 55451\n15283 87154\n28215 70558\n6649 97780\n87917 93158\n9113 58171\n70350 93536\n61600 94786\n4996 17240\n26248 93061\n54845 95804\n31429 56116\n61707 77723\n9797 53965\n65196 84125\n516 82505\n16153 37866\n11692 38281\n46274 79783\n44640 72843\n38089 95389\n2325 87554\n8111 77773\n27864 30855\n31235 51894\n61675 85262\n90571 96292\n51441 51671\n6412 29355\n1520 33214\n1568 40820\n14130 70533\n9714 87726\n51898 86864\n15299 85990\n22692 37383\n20589 65183\n976 75194\n59401 92877\n31794 92870\n39882 90457\n5686 76240\n15825 52584\n8288 54477\n47944 84675\n42190 77508\n42120 77600\n56738 83083\n41982 66415\n3555 14829\n25482 48147\n10321 69598\n3138 58995\n10206 33116\n55030 57580\n34421 44609\n70225 92500\n14546 98544\n47658 89310\n36761 85099\n18125 42398\n33567 66357\n49201 80339\n2301 44791\n4091 4239\n24905 51308\n52559 97598\n34284 45764\n2905 26797\n11172 74671\n44400 79395\n4483 91871\n37305 94502\n808 68004\n28247 96403\n55958 83254\n7230 96230\n38733 54874\n9400 43500\n9054 83937\n2178 67037\n57671 96289\n33988 95149\n69913 99501\n23957 95730\n65033 96098\n26269 36715\n10904 31095\n6847 70458\n36201 51702\n41703 96747\n49578 52945\n1980 26597\n11447 89688\n59142 75121\n37732 84146\n39137 78214\n8153 26309\n71186 71508\n47889 97294\n32976 43920\n7370 85334\n10361 82531\n2685 74643\n22458 77297\n5118 67394\n11209 41461\n53060 89007\n25115 86038\n44443 59903\n9698 18408\n11928 79248\n7713 36427\n45912 67829\n74887 78644\n13476 77908\n38972 71942\n56746 87726\n33184 77491\n52088 82859\n949 8444\n9380 53715\n8610 70644\n8115 73635\n11884 23979\n88624 92759\n81631 93065\n81114 99806\n17227 33985\n26020 59427\n5168 69312\n3102 39392\n35818 84647\n31364 32060\n7838 34912\n15408 66029\n18297 76493\n76190 79314\n1690 37994\n2508 56778\n11576 96235\n36433 61015\n591 39794\n9411 41090\n2479 91711\n44517 47354\n56495 92159\n31072 84177\n12729 25747\n80111 99480\n33120 51624\n3862 46205\n7200 23086\n29997 71171\n53578 65745\n83751 87783\n22849 77557\n1357 89802\n33563 58624\n36956 40305\n47988 92154\n22300 36420\n54306 79928\n23542 79219\n68186 98989\n5766 43961\n93589 97561\n34048 83487\n20765 30061\n43991 58761\n18214 83984\n46735 62509\n32152 38811\n16543 83895\n47914 85955\n38565 58776\n46957 73367\n41606 70311\n32092 75951\n54453 71550\n6354 50428\n11968 55088\n1477 38613\n63578 78739\n34568 59320\n35883 69274\n88284 98678\n17340 68321\n18828 30438\n23628 46190\n36550 91470\n12428 30133\n8345 64962\n9243 53164\n19697 20858\n34502 42492\n33389 92311\n7760 95645\n9594 45208\n68319 94435\n6128 11259\n57992 66145\n10508 36319\n63781 72835\n1229 83517\n21920 83962\n15009 81323\n55957 58630\n86917 96966\n30542 68758\n18492 50577\n26608 82785\n51272 72027\n51692 86093\n2375 22027\n52006 72841\n34244 94765\n76440 98299\n40140 63092\n23408 59479\n183 18091\n66005 79066\n19636 54191\n33714 72560\n26472 40129\n15 22637\n4716 62227\n314 27357\n54644 61885\n20476 22298\n88925 90441\n22751 28240\n4936 95449\n81055 84036\n16072 94666\n81725 85082\n14195 46744\n31806 92181\n16594 16959\n65202 94280\n48009 73314\n58526 87184\n22617 61195\n66218 88439\n1269 7112\n47449 82818\n11368 16167\n4982 89278\n19129 73381\n1330 25551\n58389 66039\n5148 78653\n10931 60457\n47255 75754\n4640 91983\n56827 75857\n11935 39226\n38999 88655\n25691 52426\n15422 76630\n23698 42273\n21299 26633\n18783 61260\n44202 77459\n6380 9027\n30854 94955\n14059 75704\n4384 72413\n68128 85005\n26712 78174\n26155 26852\n12187 41276\n51959 68005\n9514 76040\n43581 71328\n19427 81653\n8747 15209\n15564 58865\n63004 80346\n34905 35354\n3547 76837\n89873 95122\n30405 66855\n42520 48310\n8379 79818\n47523 74637\n49774 97183\n26132 53496\n16444 31078\n25771 67140\n15551 27803\n2541 16510\n2840 68616\n70724 70928\n46076 71448\n45113 49527\n79472 93123\n35743 43212\n16557 96200\n27460 56775\n72496 95695\n70707 85021\n1465 96093\n21277 28591\n77927 80576\n28636 95677\n24005 50952\n73597 87008\n8274 13351\n45860 61842\n38193 38756\n49376 96264\n21137 68760\n48297 68998\n14268 39416\n9665 27854\n51893 98745\n79942 99189\n38564 95771\n48960 98479\n14517 22899\n3150 38615\n28734 29172\n90795 93575\n40194 72446\n43820 83279\n25259 27844\n75382 98174\n509 18326\n60825 87885\n57084 58091\n35894 71994\n18090 32855\n54389 94064\n12641 46932\n5633 58581\n54579 82456\n64898 82727\n40770 97915\n31045 51686\n70562 73482\n77915 95598\n67087 80290\n75719 96004\n20829 48804\n59430 73433\n39031 67787\n25930 52192\n3491 53199\n8576 57788\n50381 94373\n13034 98753\n23333 84891\n24452 81956\n64251 70261\n13344 52272\n38270 42222\n31568 72095\n11701 26271\n18429 49252\n35676 99115\n14640 57468\n42268 92959\n24623 32760\n11394 75663\n18523 33367\n68323 80570\n24147 58056\n11861 91416\n16760 63938\n14731 53420\n13770 20237\n50618 99075\n11618 56811\n15646 41147\n198 21475\n8403 35290\n61555 97580\n18104 83294\n16491 92888\n60491 95701\n16881 90430\n35745 72745\n22316 84609\n86888 91559\n8421 17941\n72677 97470\n85860 99401\n21089 91236\n18441 56314\n6121 90239\n6631 65333\n10407 17416\n28632 55163\n5084 62527\n22700 67692\n59325 66523\n2260 99255\n29744 56941\n13036 58033\n18842 95525\n54079 79769\n40533 69222\n16000 79819\n45735 88452\n58786 67224\n53158 76402\n24592 55446\n13773 23666\n17050 43752\n55137 76356\n944 52571\n16002 61435\n35751 98350\n76570 90088\n5658 10403\n26221 66811\n82969 90567\n29389 51690\n24130 51504\n29724 52234\n12463 23784\n2804 73892\n77046 85206\n13021 77769\n23705 42874\n48902 96272\n59328 94285\n35788 65060\n43697 70633\n64783 80140\n17039 94215\n63403 63727\n9970 99966\n23116 27491\n52254 57237\n49477 91572\n48193 49140\n24156 67084\n52079 63759\n61884 72240\n57735 81075\n89824 95639\n4279 64518\n31865 45662\n72056 93931\n60173 85838\n11511 63609\n26795 37332\n16797 71918\n10368 69805\n2299 53620\n35689 54398\n39701 46271\n67296 93253\n29281 55769\n49703 86061\n24752 96938\n64727 73489\n31410 50981\n18537 76059\n659 76399\n19155 84143\n78654 99083\n63414 97086\n1186 91314\n14435 48491\n44011 50012\n87987 93409\n23277 23995\n57300 62621\n27746 38726\n78131 91076\n37628 65630\n12275 88375\n54095 78365\n50289 72101\n1224 19329\n59066 75122\n22439 52007\n35881 82676\n5821 69051\n32759 77585\n72425 82775\n12766 81068\n41964 73035\n77153 99268\n72033 97519\n51361 91824\n13124 91057\n28901 74943\n25333 90662\n32943 44327\n63709 77712\n27724 58200\n79786 83043\n51197 53190\n48960 68928\n9810 37751\n64115 84902\n47444 63562\n12402 28907\n53316 63664\n96062 96304\n17516 56915\n59967 79534\n54056 84642\n62028 96182\n81964 96105\n23300 90385\n46397 87010\n34553 76020\n27821 54339\n44529 79001\n73148 95579\n11535 34202\n37422 95815\n20483 59503\n19774 35673\n8294 37970\n10266 80709\n39307 90292\n41331 63295\n93793 99667\n13214 59343\n34038 83626\n75970 83396\n41248 55435\n17891 27051\n33527 75091\n24483 94609\n3683 71036\n64826 89308\n47086 69292\n8079 25430\n19449 87523\n11162 47238\n31366 34332\n52150 69051\n6379 29763\n5466 24331\n24106 42995\n22989 28051\n86529 92759\n47712 54763\n16064 42313\n30265 40886\n29570 73978\n30204 60666\n80429 88223\n17463 48105\n54137 78767\n50433 91956\n940 22056\n16033 72850\n1434 31974\n52820 96508\n3884 73940\n29853 91742\n19966 64956\n42306 60870\n10918 10995\n11591 45859\n60082 62679\n57005 68068\n16833 27772\n71911 79371\n11302 44114\n35596 70937\n23959 45758\n14226 66031\n54201 64639\n33452 87173\n2956 52960\n12553 51947\n12110 19862\n59329 87243\n43306 83432\n25253 65107\n28700 61298\n7294 96055\n81587 97619\n37019 87303\n28539 64259\n34167 35773\n22353 32131\n45633 73128\n72268 86764\n56807 69371\n12967 40298\n44266 57859\n32690 96600\n6356 63317\n27477 36170\n537 35094\n36901 75088\n2345 68816\n66227 98943\n15719 22936\n72672 87263\n12842 66337\n46367 91465\n42730 61950\n47485 77376\n28154 34048\n2624 16840\n6166 77046\n52027 79640\n47337 53098\n24097 29531\n63759 92577\n17127 37342\n20040 45925\n13400 42262\n20915 73016\n7589 37951\n62542 84158\n77394 95057\n21678 97506\n73996 80820\n1810 43383\n75311 94487\n3049 56712\n54256 55389\n60519 96866\n25877 54072\n37650 50183\n15569 50151\n30809 67972\n63041 63110\n634 50325\n8404 47005\n86493 93204\n28714 87413\n13695 88275\n52297 96856\n59978 97699\n32669 71440\n34061 49606\n54451 56356\n9031 57711\n20794 57233\n3956 64101\n44260 50433\n28272 44776\n4414 10782\n70803 80594\n87821 99769\n21737 26551\n33174 64369\n31792 81921\n56715 95511\n17978 58033\n39384 46946\n27528 80737\n24473 79658\n9692 73411\n6501 38209\n17941 69631\n3369 59761\n25321 99098\n89627 96135\n17937 18344\n43973 59073\n27000 96252\n51948 63312\n76845 86405\n58591 79673\n59773 67215\n35168 76021\n15233 70076\n32927 68512\n22398 82993\n32296 96192\n23240 54680\n9569 69274\n12089 23424\n3172 77554\n49935 77764\n4362 30910\n51974 72381\n30222 52704\n48872 86319\n5100 24558\n72150 98354\n48755 67964\n34625 59392\n12189 53262\n9996 67905\n32210 49190\n41758 77214\n33404 95928\n91065 97723\n60952 74588\n21810 74390\n2278 90796\n22437 24646\n43569 98326\n28655 75488\n23588 39985\n32390 32481\n33732 59953\n33283 40247\n49074 66171\n7156 7487\n62533 96715\n84158 98855\n11355 32286\n13947 33740\n5809 37341\n12242 55727\n74978 96023\n38558 62625\n76499 84517\n12135 57600\n26518 49750\n6192 77951\n5043 83293\n51723 84548\n90585 99175\n71957 91264\n38209 43021\n43323 96082\n48175 65986\n71963 76391\n31132 92176\n26090 31035\n71079 79110\n75232 82101\n27981 76855\n57119 74540\n12675 98252\n50183 88672\n77323 91824\n16081 47579\n31814 57056\n38454 79131\n19113 68135\n32178 74057\n4358 17487\n22892 83807\n21536 52580\n71045 85302\n20192 42646\n19548 96559\n7904 82205\n11164 34119\n30581 99067\n32446 35981\n8002 39695\n68504 75200\n14049 61439\n9205 46263\n10684 14848\n60993 82637\n5003 41230\n8724 32490\n27855 77368\n65848 99364\n7243 15790\n40751 99015\n4094 71300\n50983 83360\n10071 19184\n9750 11782\n64532 67766\n83886 86917\n11781 98765\n41642 48201\n45936 59861\n43774 59981\n41563 93293\n43539 51150\n36514 60142\n43089 89306\n620 79497\n51021 54518\n46721 92671\n1001 52964\n20299 64381\n15718 88414\n11446 55938\n42703 82288\n70874 98893\n69778 71865\n31457 93623\n33048 60849\n14537 32067\n33591 53996\n76845 79317\n8712 12913\n22852 79897\n39736 93310\n11912 93684\n27173 40537\n3359 46586\n3095 86448\n43224 87578\n45543 92403\n41976 50499\n31814 40712\n2586 3750\n34507 50385\n60619 91175\n19225 22394\n44626 65204\n25026 67615\n43619 95718\n41963 63708\n55157 63404\n61763 99448\n78144 94395\n60228 76442\n22854 73860\n33451 40145\n58390 62156\n2140 87845\n690 88253\n1977 49452\n5826 65476\n23294 89530\n14582 53816\n12359 24417\n24990 42953\n17042 96530\n89360 93115\n36819 88045\n70204 91296\n1533 44789\n38782 99345\n41719 57834\n28448 75342\n9003 77293\n55182 64863\n14047 63138\n3459 72100\n6108 24838\n1569 60574\n29676 86063\n9906 28069\n38392 62652\n17941 41964\n11632 34329\n30221 91564\n2154 22213\n4519 38427\n24686 41499\n14447 96974\n18186 27730\n40240 82497\n27386 80438\n23701 38294\n42047 79100\n26520 80106\n6546 9800\n19131 93599\n31242 34329\n19206 36729\n58157 86107\n26252 68524\n36176 53619\n5213 57242\n8899 32597\n298 3656\n20450 95330\n23789 53141\n5537 41611\n8084 8505\n19592 72638\n52039 75326\n273 5918\n16261 43987\n12443 90313\n57123 66405\n23640 48276\n6169 31970\n6305 44351\n12367 24444\n59030 81595\n20052 61177\n84622 95408\n62738 87091\n26832 99238\n47316 98503\n23120 92552\n29077 44727\n54382 96464\n2823 10315\n5772 89409\n18414 76312\n31128 47316\n35168 88945\n72025 97146\n25676 33599\n1384 16850\n58765 61024\n85448 90265\n58429 87105\n56683 80408\n10146 10783\n22064 60108\n32954 41122\n64630 90069\n56624 87658\n47948 71867\n23168 44511\n52973 88638\n25221 32970\n32080 38906\n25388 63837\n12770 57076\n29725 48673\n9124 89655\n38127 57559\n11825 29820\n61139 71373\n51877 70226\n25620 29265\n19186 47519\n22974 44494\n63129 89117\n34324 82517\n38016 41536\n4278 67340\n78887 85553\n6455 78729\n9821 74051\n12803 19560\n83259 93756\n50446 88570\n2395 51550\n52432 58684\n23522 39756\n7327 85676\n41055 92818\n53787 64546\n11872 24014\n85747 96412\n25729 83506\n14762 61923\n49422 74013\n11945 80934\n4825 18398\n70116 74752\n65232 87582\n19446 69971\n16304 83142\n16791 28213\n54090 78020\n23036 98333\n3521 21285\n38085 59169\n35945 92764\n16864 21653\n62401 87030\n39661 94622\n79252 84108\n4436 82126\n35451 49439\n11501 61031\n14922 53454\n32343 98417\n7484 40813\n34550 67984\n6418 82570\n77969 85050\n3678 38913\n53352 56151\n48100 48588\n17223 37740\n22099 89479\n73756 77316\n3972 33312\n54454 58368\n34692 61681\n41565 81798\n32504 58855\n4257 67781\n7127 29288\n32792 94510\n31676 76436\n30174 35692\n502 78810\n8280 34233\n18026 29236\n7136 48168\n4709 35170\n48431 91827\n52351 57229\n42801 49743\n76237 88661\n25975 26237\n77503 96635\n70991 74901\n34167 99852\n9280 88498\n22070 98339\n852 866\n5414 81169\n23530 66850\n5976 90504\n37682 56541\n33490 88193\n25352 48749\n58361 64818\n47832 58744\n23248 25422\n56988 82376\n71780 84300\n3437 37769\n19537 74519\n3847 15802\n6161 84350\n45023 46246\n69320 89897\n28826 77607\n39771 97740\n37841 66349\n18360 88659\n80692 92705\n48105 76458\n36837 94650\n26504 71310\n22976 33191\n50094 97941\n42023 44432\n80101 89762\n62363 90895\n35107 98234\n37168 63834\n49433 65249\n16263 29053\n38610 70119\n11118 31766\n8945 64823\n19966 98220\n20682 27856\n72234 84924\n56678 92217\n39171 85751\n11963 86231\n94461 95546\n3844 37564\n18823 71914\n12048 98564\n74986 78688\n2250 9157\n13999 98125\n13961 14648\n8808 15021\n52025 54636\n33786 88796\n38832 71493\n69056 88157\n3375 36696\n34417 65652\n52313 67868\n47792 74691\n4085 5709\n21730 75939\n64901 89353\n74348 95667\n26478 61178\n49335 57752\n3716 29546\n43784 76587\n77225 85546\n58168 63032\n3740 61534\n44195 75842\n3687 47121\n43619 84689\n658 90253\n44747 47458\n26491 52984\n13 81162\n75066 96760\n7360 37778\n20788 38295\n62311 92977\n24181 38519\n31183 81213\n25900 48671\n47480 78490\n31457 85091\n69910 74527\n5948 39348\n42837 84093\n12588 79758\n36339 55419\n9939 61184\n6630 73087\n94110 94883\n12117 70089\n58715 86236\n63977 84576\n7762 57966\n17912 73543\n24849 86211\n96222 98012\n9257 18652\n51386 51701\n32626 69432\n21750 90274\n39363 56414\n17064 28012\n17091 20601\n20456 57403\n23187 56826\n24231 69251\n17854 34978\n43193 90005\n28477 48150\n79351 96311\n37840 90169\n88769 89780\n57677 81336\n36251 99708\n41102 91237\n21429 45417\n16696 17196\n68803 73052\n46657 91833\n11459 69099\n46742 73872\n32308 80089\n91598 92484\n72307 82538\n30392 74216\n57000 67424\n16884 93375\n33051 84408\n33457 87291\n40452 80687\n33733 38966\n36069 44931\n3614 85855\n47950 87943\n62815 74644\n57589 70533\n58125 58905\n86979 98744\n78913 90847\n33266 57462\n72288 79829\n1742 15120\n15251 48117\n50849 88015\n62460 92559\n77060 83550\n45846 82673\n14927 36517\n40768 51739\n34327 87784\n8183 56230\n9719 13317\n48865 76187\n32857 89574\n34808 44840\n11023 73441\n20484 35944\n20179 45448\n8424 85577\n43465 87594\n30138 66169\n15726 79634\n9485 74472\n60573 95504\n31026 78705\n37984 50265\n16825 23596\n8621 21931\n15058 76539\n11218 70447\n54761 98057\n14870 16317\n8836 93432\n8752 9424\n34159 55926\n4766 41201\n580 11578\n24906 61828\n36576 57339\n21528 42220\n70130 97078\n17209 75177\n15741 72281\n65738 90995\n17800 74144\n31507 52460\n65296 92907\n26803 33417\n32460 48002\n57954 64685\n5397 64006\n20008 29068\n12096 76911\n17003 32764\n3576 60005\n32690 49394\n27083 49601\n28612 82774\n23453 68377\n2038 48405\n18622 89645\n47624 94608\n25814 91768\n49139 67036\n2152 92047\n70568 86824\n21896 34532\n54501 94470\n3511 97877\n44739 69125\n8692 81610\n20613 52842\n3863 29060\n42587 54924\n51243 87819\n15331 54941\n5746 69755\n34255 57623\n2352 6508\n40662 64726\n34525 50323\n264 23109\n12688 39821\n8154 36082\n37610 46633\n32342 47366\n59577 64735\n2987 36708\n21566 61830\n16005 22700\n44888 76358\n29025 41148\n22082 34622\n36829 95224\n80782 95398\n2432 32409\n30465 91799\n465 79160\n57733 86957\n5285 13305\n71874 80444\n11016 67252\n7525 90529\n44353 47454\n12938 56374\n17299 59549\n22869 91532\n21038 30123\n23252 78915\n4404 90825\n25362 81213\n61735 69393\n19671 95257\n36301 85928\n33375 55311\n49094 76850\n59673 63588\n14989 54003\n11485 21674\n33903 47870\n3464 23300\n39216 65943\n18827 47273\n64473 98741\n9475 27716\n77444 97825\n12044 12267\n24349 67039\n7952 49000\n21605 29519\n26645 59066\n2686 66397\n5216 91614\n35749 59204\n27186 66665\n5908 95089\n7696 44104\n17477 54157\n15927 58459\n28939 53763\n22471 36790\n29214 84378\n86824 97214\n22157 85552\n60178 82291\n26699 34783\n12676 25601\n30074 47156\n15344 93966\n51156 72464\n43159 74254\n46695 63389\n68394 70165\n9208 24875\n8028 34343\n1388 35529\n39711 85679\n72777 95514\n12164 27204\n45927 92222\n66626 76427\n49661 60149\n37984 42250\n50992 78171\n23987 80288\n18531 75926\n21612 84843\n3305 21090\n14788 17045\n26358 70540\n35741 60742\n65315 83535\n16260 32302\n56672 58011\n43784 53449\n16763 18431\n2862 92966\n14429 51090\n26036 50661\n66073 72034\n84832 91775\n525 44222\n35248 53639\n73847 82265\n4550 80061\n58237 94128\n47976 96942\n71307 80407\n25909 50847\n26294 47365\n40244 51591\n41686 84095\n25182 68664\n40305 55043\n25572 99425\n30226 47995\n7265 23724\n29975 98132\n32383 84941\n19305 94109\n31030 76491\n26950 59395\n74977 85452\n30179 38499\n30710 85732\n53722 59668\n34644 85792\n33612 77230\n44261 71637\n53134 74241\n7591 59513\n38772 74557\n88721 90456\n1983 77881\n12467 69524\n32356 77568\n10666 23099\n51666 80562\n33078 94891\n2392 91469\n56709 70423\n9939 14029\n850 40977\n61845 89396\n20375 98514\n5373 48780\n53556 74518\n26261 87772\n14559 51727\n13456 19573\n7060 62098\n57698 60175\n39749 83878\n93051 97621\n17451 35119\n40370 75873\n3373 28080\n3834 18871\n72043 75474\n9136 41257\n37649 79647\n17221 96980\n52730 63079\n48171 68353\n842 76480\n34737 78049\n41233 50360\n15214 54313\n44408 48915\n2783 9928\n7307 58325\n32898 78607\n22649 98272\n973 91096\n13475 89963\n18336 25131\n21184 77117\n9973 26107\n33692 82732\n12755 89697\n74006 89807\n7434 38312\n73224 73561\n296 75202\n40537 83081\n84295 99431\n20728 47631\n46259 97479\n72020 92616\n1528 57745\n52550 65916\n64587 97258\n54807 72499\n59783 62622\n57462 71317\n62943 68195\n21850 24513\n13879 36182\n60664 73478\n80697 88134\n20538 93380\n22129 50200\n4012 57278\n69190 95885\n6105 54262\n59767 80785\n47314 47583\n52246 80878\n6695 67671\n64561 65892\n9059 19423\n2007 7379\n3568 61649\n37786 98380\n31394 65334\n6257 50774\n77343 84990\n3538 24605\n3678 52645\n57922 66068\n62839 94284\n3902 10847\n13403 25210\n12473 32947\n1711 17998\n63287 96329\n5978 33008\n10650 84062\n28476 58665\n85180 93882\n49662 73555\n11155 78549\n30246 97927\n8797 69498\n17424 59791\n9099 48242\n48525 84302\n19389 30243\n19341 76442\n5934 99461\n95391 99711\n20775 46214\n33664 99479\n21264 57959\n46691 64625\n69880 77608\n15625 79273\n42993 93639\n62227 70109\n25306 58418\n5334 52956\n34994 69693\n39402 83708\n42620 76974\n34693 63462\n38599 40584\n5460 58693\n32366 71911\n12812 87002\n52611 99312\n48847 97427\n6377 97394\n45147 80765\n32101 94389\n40586 55542\n19200 39378\n1230 11007\n11395 76577\n54263 71085\n50814 76303\n37663 97976\n19590 36895\n37512 69744\n68202 91957\n19074 40875\n7072 84799\n60920 62942\n48710 67539\n60102 84497\n11199 54300\n34090 93070\n24367 81774\n44853 75536\n86617 97831\n52694 94549\n21635 68506\n21066 56681\n77425 85387\n69698 74191\n54923 83922\n36074 88561\n835 63355\n20247 33442\n2883 78182\n16042 99917\n15651 85090\n83013 84907\n15158 35904\n46980 83023\n50077 83927\n65622 66353\n39375 64043\n2591 81028\n37678 44780\n3707 54304\n30793 67940\n55846 80968\n11891 61520\n2261 51647\n60680 80726\n6261 30743\n35816 52120\n37379 69400\n9472 29347\n69393 76402\n20850 70173\n8271 61613\n16909 95162\n54 11654\n55193 98962\n2795 48690\n1957 30040\n8327 28926\n4620 20956\n33549 98887\n3705 92258\n40131 96603\n1288 30833\n14569 63145\n47216 52454\n7633 10879\n85061 95817\n11525 13664\n37256 89997\n43456 80960\n16109 86015\n76370 76953\n4293 93350\n2496 92377\n49600 71000\n7051 96814\n12198 93304\n3636 43418\n35385 50149\n46109 74480\n4487 47512\n95401 99916\n81291 89792\n73862 95900\n22252 77000\n61039 61860\n34329 52786\n57144 86447\n38108 43470\n5334 20585\n5923 59175\n10977 22152\n59013 79463\n49014 76813\n384 35299\n2762 94859\n69098 87707\n22307 23975\n13872 21520\n40755 48267\n3255 89920\n20063 72295\n29475 56039\n75439 82975\n41854 84721\n24371 56735\n83830 84174\n48628 66936\n70864 86303\n17385 49500\n50109 66149\n11017 70615\n9693 48838\n32697 67846\n34452 55295\n15289 84259\n18345 97851\n2185 60357\n36341 59223\n16122 74301\n66334 71048\n74171 76881\n25405 81109\n20621 52258\n57687 84799\n25430 62261\n34561 56368\n165 39737\n46606 63889\n26354 41214\n45581 87440\n50146 50243\n25024 26508\n22766 57128\n73650 79764\n33733 58997\n27309 56625\n38497 91468\n13358 82855\n17557 40614\n15388 99359\n15168 44322\n38477 51850\n7711 99040\n58251 80639\n2689 75477\n72694 73056\n59698 94755\n42665 43296\n59183 62886\n18920 59589\n17174 85355\n68909 76181\n30037 91877\n55956 76996\n17475 44640\n62787 90184\n76451 79560\n33463 41164\n17758 52305\n44 43003\n4787 10144\n62963 92181\n42481 98965\n24846 99737\n82571 94588\n49177 88001\n38416 57506\n42562 65850\n75721 82547\n3411 96460\n9503 24411\n5269 92165\n33480 40648\n37148 66077\n1488 62887\n30573 95302\n12878 87852\n9371 47542\n9612 68143\n66815 78518\n23858 34366\n73297 74284\n75240 98152\n47869 56325\n47707 88523\n67559 97880\n52287 81903\n31387 63350\n3999 68752\n40983 67145\n1358 8827\n52550 80687\n25678 69096\n33905 69478\n60629 84988\n4728 33918\n52458 95641\n47812 97917\n37345 64122\n32824 86758\n46367 52092\n34677 50441\n93906 94425\n20390 32115\n4362 12626\n16713 63338\n6181 55048\n36918 38927\n25105 47142\n80089 84740\n22993 58452\n21102 60429\n14590 61314\n60052 81726\n48764 94757\n86305 99265\n6649 6868\n25075 25945\n31042 46084\n19401 38180\n23835 61616\n54753 70303\n39134 75702\n44669 98561\n848 57800\n10836 46336\n14204 33429\n35731 87731\n51717 94009\n97024 99988\n41076 47828\n51928 74488\n8433 64412\n49750 67176\n2060 6120\n18912 84929\n59092 72487\n57261 71714\n5237 16818\n3198 82811\n6228 77890\n6321 34233\n8094 65886\n19794 33114\n32666 57064\n15110 57567\n42446 72621\n42832 89850\n89 1685\n46357 52300\n40048 81636\n25014 95274\n51811 58161\n24440 49984\n41563 93755\n2044 86726\n50394 59436\n25068 33365\n30779 55361\n23590 71019\n19424 26884\n36077 98199\n46157 74473\n46453 77446\n79931 98718\n38731 80578\n51334 58011\n40354 92415\n10330 30631\n88991 95872\n75533 88785\n20633 74341\n32043 69734\n84764 96900\n44717 66581\n25409 50222\n18919 54484\n19310 83369\n9006 54209\n17200 81481\n70721 83999\n8932 34883\n35368 35633\n75942 93855\n5625 32768\n4047 90073\n16869 79904\n11436 35970\n33158 54815\n41596 54747\n74601 89504\n26817 86715\n56516 78885\n47348 68043\n70915 91307\n43842 65780\n12122 31841\n17500 70114\n7235 38443\n32805 37774\n14033 86942\n15385 49894\n11709 97711\n40696 76092\n59568 81794\n82981 98065\n87621 96751\n58566 89278\n34348 80493\n2756 44126\n14778 96770\n95861 99997\n3127 59925\n31703 61352\n1862 22558\n48117 95226\n34637 79296\n29930 98844\n69766 75560\n65844 76011\n4474 73360\n56513 91244\n41389 92760\n72505 96968\n26300 40796\n17073 27029\n17134 43434\n14982 17743\n25613 42308\n65497 68248\n8750 59719\n5409 94773\n7775 70726\n184 99870\n24333 71487\n57762 91423\n70032 81396\n83996 96686\n47329 90635\n2321 65008\n21022 66365\n66276 98328\n898 80236\n68414 99145\n12738 54541\n51528 55749\n22501 55605\n36830 55738\n37644 89973\n38360 77930\n28910 59048\n3963 56441\n67174 69742\n15093 17193\n17357 35006\n36947 69000\n1206 80011\n56623 59215\n64821 78736\n63562 76023\n695 25295\n75895 88148\n8876 48103\n14126 55959\n19786 48438\n48602 77038\n7402 99532\n36864 65324\n47729 92828\n41904 51671\n82197 84566\n61055 99484\n40170 89796\n43195 57879\n88651 99858\n56844 63026\n37482 91939\n17953 61972\n51118 75378\n8061 34190\n32739 77603\n43194 90755\n66817 70294\n23615 28033\n37116 39028\n31800 94714\n48178 99342\n54151 86198\n32557 48602\n62305 89714\n74444 83216\n19718 76933\n52091 87238\n70736 98733\n59664 90205\n30468 95458\n31847 42748\n14058 64474\n25062 48012\n78447 96626\n37982 64096\n52772 75804\n35606 43943\n40596 93330\n5750 63259\n3461 57333\n7118 81001\n29357 96222\n83604 84174\n15361 77387\n44845 54385\n64399 94507\n13276 47552\n3729 64402\n27373 76238\n59709 68850\n11210 45268\n24346 24521\n1513 11650\n9962 91872\n50794 74300\n42027 84641\n13326 72750\n71603 98960\n5398 47425\n5117 53901\n24872 87744\n12543 26809\n57626 74834\n8734 18013\n68151 98080\n22714 60634\n21041 35964\n21102 52248\n42630 44429\n7400 34819\n18945 35915\n47537 61123\n34067 34180\n42944 49492\n46640 67753\n45721 49959\n10858 60288\n1941 41212\n39345 47025\n33951 48703\n57404 71450\n13063 66647\n73349 81395\n10065 74951\n31880 58787\n44061 89406\n14413 78075\n23290 68289\n93613 98427\n28662 84230\n33154 55070\n25736 68792\n21142 66804\n49495 75322\n41199 84449\n12159 68158\n47622 94008\n42413 89293\n20322 59679\n51856 88422\n80099 96733\n85089 85675\n32676 33872\n30362 56843\n1579 78422\n1780 35384\n13409 44105\n45213 80454\n48435 83828\n19306 58855\n47557 97824\n4024 50621\n58901 97149\n59865 77909\n67200 77340\n24896 91777\n60635 63542\n16842 95475\n17812 63979\n17541 39959\n37059 95752\n1858 49656\n1329 93718\n326 28311\n84371 84712\n64918 99052\n51927 83671\n10256 86151\n31081 95828\n65926 80392\n54538 84620\n87426 96659\n55673 94747\n39246 59082\n1731 31149\n16213 58413\n26861 97474\n47880 70585\n43048 92115\n38945 44773\n12421 27695\n27794 79786\n27197 52398\n5550 31346\n18475 28354\n40728 75441\n39682 73241\n3707 87455\n21409 44710\n21836 87435\n74101 84839\n50102 90865\n32354 38801\n54737 86362\n66156 92574\n39268 62444\n14051 78079\n41709 82563\n3181 22290\n14295 71754\n55524 86321\n32194 94906\n9949 16745\n6811 93148\n28395 47217\n74207 89290\n35098 43557\n5662 39889\n45264 78154\n34168 75138\n3233 50515\n51256 64790\n54171 57986\n55326 83857\n27487 35454\n2050 21987\n26346 32186\n30635 38473\n45141 73118\n22412 63634\n39526 96472\n22432 89202\n80037 86960\n4333 68375\n62315 83958\n1879 59772\n33804 57190\n41341 78152\n25 64540\n58766 95988\n31287 76652\n68181 98521\n18844 61279\n29987 40944\n21444 91753\n69183 97260\n59978 77272\n1806 25141\n31386 86912\n16111 47058\n26049 64898\n77782 98694\n25198 32554\n36688 83694\n2221 64376\n43805 67174\n27033 59762\n23628 92508\n42832 57467\n93568 98615\n29206 53663\n26014 51977\n22338 50474\n44398 74615\n29678 66136\n52573 59004\n5453 49055\n27632 38847\n75740 78272\n37688 67740\n6109 89380\n12357 16771\n8327 17010\n28104 41510\n3602 61641\n27644 66591\n20705 59434\n43259 65941\n64757 93777\n232 3129\n10384 91313\n14191 33471\n36670 89420\n22687 32008\n31884 94311\n31445 97934\n59239 88175\n37514 65319\n30307 47308\n78652 89268\n39430 66412\n62413 69372\n87436 87777\n5623 47666\n10728 48338\n17455 25678\n56131 80847\n51307 95618\n83861 90265\n7843 61583\n2281 54978\n5668 87378\n51501 82808\n9243 40532\n74984 85371\n31540 90884\n34873 93513\n19756 90257\n12861 97670\n67517 85155\n9213 80238\n72002 91727\n22429 51895\n34138 67587\n10635 14890\n38290 54197\n58992 60101\n27235 44457\n49159 51687\n74659 94345\n69989 84212\n65564 81896\n30590 69582\n14037 86016\n7075 64820\n18732 43126\n17815 58467\n55958 62571\n49104 66720\n20991 88713\n35986 89688\n46762 48681\n7801 67014\n67153 93443\n54665 87392\n29634 71582\n12475 49276\n10734 21667\n6525 51692\n84642 98010\n52090 96931\n6523 10372\n51350 78561\n26459 41409\n29848 96414\n44025 74005\n122 67266\n70741 99217\n21188 40705\n62485 66980\n2182 60055\n50746 61109\n36477 51655\n37780 41264\n12809 15310\n5760 8910\n31450 39455\n47277 56695\n14382 33082\n61437 96545\n63284 67804\n24238 30860\n1497 14260\n6775 78306\n31998 76638\n41091 79623\n1991 3522\n49997 59080\n23816 31563\n25073 90437\n49382 92217\n317 95958\n35194 44493\n584 8280\n48586 48774\n27806 74145\n9479 59645\n29015 79622\n57173 74312\n56689 95369\n42074 49274\n46260 85976\n14711 79189\n34079 66361\n17222 53852\n29480 78097\n39628 78286\n19001 75131\n65375 65704\n45689 75208\n6375 77427\n10185 25144\n7792 13091\n30774 44468\n59452 70013\n51020 61859\n51665 53709\n22845 84876\n65829 90514\n75574 95796\n5687 9175\n43168 44660\n11239 25493\n8251 56363\n4314 40421\n32729 56542\n45699 78733\n52991 82182\n22099 91028\n3693 74389\n45540 88120\n30068 46996\n94063 99384\n25318 79456\n67778 71401\n28149 96702\n28075 72256\n41023 90129\n7382 13433\n41737 57448\n20629 21138\n3359 6183\n11412 19236\n56309 64125\n13729 72779\n26854 87741\n30964 43866\n69066 75842\n56566 72446\n7232 89527\n30669 66605\n35646 49217\n33841 94356\n46644 56586\n58374 83632\n27314 34548\n33734 47500\n30342 44403\n6467 55700\n1516 29362\n11771 96251\n35218 40188\n35214 51254\n4676 55300\n24447 92303\n16478 35037\n32846 94310\n3119 45952\n29761 53041\n59451 65803\n5090 81996\n87354 95838\n27117 33964\n54892 86165\n70161 88188\n15170 34126\n24800 80973\n56780 67745\n48107 55350\n11555 21527\n57936 91328\n55906 58576\n524 35049\n7450 30902\n7169 50700\n21090 44137\n11891 57871\n180 23018\n7821 39136\n31081 89097\n44010 96001\n7163 30430\n62464 68463\n72481 92768\n48624 54884\n1947 13602\n29894 99513\n2411 37349\n12700 78181\n4188 97099\n56155 62369\n59294 68415\n20968 77728\n9352 92568\n27806 71439\n20224 99138\n70891 77080\n27097 32824\n62600 96244\n24830 39038\n5491 89840\n64761 99600\n51200 94417\n4954 19245\n60548 95615\n56701 89970\n33721 41073\n20707 48562\n18611 28504\n12029 85591\n5695 66690\n56477 58356\n26313 29656\n21598 38209\n15824 68054\n32021 71662\n85411 88297\n58015 92308\n22928 46838\n13101 65310\n23714 82180\n31162 67636\n6670 55165\n8922 41819\n48741 78188\n21862 93387\n14370 55576\n18299 26429\n46159 70247\n2277 64556\n29930 47239\n10153 41742\n19369 78258\n65910 87084\n8717 90261\n67886 78594\n34742 61998\n8626 29987\n39453 75212\n35514 60770\n78018 81294\n7730 80989\n40079 51964\n59223 80596\n8804 54308\n14660 68057\n38234 56932\n22811 31370\n18490 96733\n23381 64855\n12112 97310\n27493 49468\n22665 80383\n4515 34742\n76303 90211\n27767 60101\n18934 19978\n83308 88458\n43049 60173\n5046 99830\n64344 67309\n25582 80917\n59451 91693\n18512 57162\n21335 98603\n27313 94545\n48049 78735\n8101 90681\n21697 97587\n72083 86452\n2344 72980\n48230 96200\n39065 77869\n22451 34719\n25650 48930\n18385 79366\n52797 78248\n15506 56551\n33860 49903\n86026 88818\n17314 95013\n1682 87449\n30800 66158\n69996 71439\n33780 47493\n21041 79387\n36620 70307\n56443 62924\n9433 75196\n31544 80631\n4819 62911\n16211 96053\n76552 86983\n13744 29220\n37321 79245\n60970 96064\n40056 56199\n40890 86279\n8665 38126\n15721 77392\n24486 50419\n11596 32799\n55018 70041\n21013 67754\n20184 41925\n42232 74409\n43062 56115\n29733 73395\n63515 93406\n17206 27330\n75801 91801\n49264 69468\n54709 70336\n28349 75453\n38310 93136\n10917 47425\n39995 71706\n8058 97002\n72394 85719\n81253 94805\n16122 28318\n76531 90453\n14111 58916\n11847 31361\n29470 37185\n44160 63005\n31121 93487\n14308 99591\n2799 92858\n7106 49961\n89207 96215\n45303 63771\n47590 98723\n34804 63915\n33485 70116\n45694 93727\n38197 39857\n29635 56249\n40243 71854\n58037 97848\n21639 93419\n8434 55241\n17141 69713\n5421 90161\n54861 77655\n12060 18349\n7111 37975\n6243 77509\n50351 56125\n854 53334\n34060 92888\n53795 85538\n35121 40402\n50984 92418\n24904 68829\n22119 81658\n24485 35168\n19010 66286\n45862 83164\n49811 82628\n14868 66331\n1761 5471\n77202 98708\n70228 99075\n3641 7454\n38532 41296\n80524 98146\n29813 55521\n73343 78515\n40240 57894\n8616 63422\n62431 90493\n7238 23491\n88827 98912\n38377 40235\n1430 57992\n11041 69633\n15281 22240\n6939 38869\n24375 54917\n52490 86416\n33348 36306\n10387 98228\n37487 42200\n76972 87119\n59773 72396\n44382 64493\n16819 33465\n22012 58808\n76806 98237\n81632 95269\n37399 87843\n15608 62730\n16231 97640\n32813 57764\n21401 78522\n1427 57274\n46265 79242\n19760 24860\n63069 86239\n23218 35326\n38365 53123\n42149 42294\n46666 62971\n38733 38970\n52988 92161\n37021 93480\n6301 10725\n44210 62632\n46722 48471\n3778 62480\n76848 98568\n21059 64831\n36539 88287\n12003 43987\n25461 56913\n46221 58669\n56508 95268\n33739 44452\n420 12447\n12890 70023\n4799 56521\n77703 96025\n50591 80157\n25618 31145\n29676 89943\n64849 78678\n12790 48477\n2497 49324\n19610 39635\n49100 92068\n64304 95254\n36626 40363\n21251 63948\n244 88326\n40177 98621\n70153 95192\n22078 76991\n5286 97797\n20799 59005\n77618 91541\n42897 72931\n31892 86250\n60208 61580\n4079 20790\n19545 38815\n36825 36879\n61711 70010\n74703 75841\n65959 74516\n14581 70158\n16737 94627\n22079 61905\n24338 55802\n28503 64242\n13169 56849\n43911 73069\n27069 65838\n58549 77864\n37629 60081\n61951 66965\n26529 76710\n69694 91235\n56152 81560\n64826 69728\n42919 50584\n81241 97971\n31650 86472\n1858 39568\n39567 61317\n8561 14661\n85973 90814\n18627 67096\n17335 88006\n50429 60358\n94488 99522\n8251 79950\n35375 36056\n52546 62418\n43893 74706\n35694 52550\n615 43088\n51312 63303\n19360 23008\n7145 60215\n57596 65032\n1640 40753\n68219 97345\n86790 88317\n26322 31295\n40469 88005\n26787 48781\n8620 39198\n10831 49657\n85038 98759\n31244 89660\n10490 39773\n54673 97519\n6944 20451\n39011 72056\n57593 78670\n17730 76954\n39452 45959\n22062 81862\n39749 60531\n47245 67290\n27990 38935\n24613 92882\n13410 68806\n62604 76374\n36064 48431\n553 88095\n18810 97000\n61570 83270\n26010 50913\n26289 53233\n7674 45839\n45856 82158\n68894 91537\n67505 76664\n24806 71542\n56113 79040\n4816 48904\n14381 29712\n28304 68359\n51830 64567\n29211 97833\n15892 87274\n7196 60465\n7171 81912\n21699 66911\n59608 98955\n52898 63047\n2174 74742\n37117 48243\n71 68821\n92742 94161\n11864 78988\n26273 34512\n688 33173\n9830 92522\n94423 96835\n7244 94488\n48383 49529\n34730 68889\n46750 81481\n75333 76830\n54918 61231\n65997 72585\n53178 67919\n21566 61612\n19317 52627\n29766 70609\n48646 52287\n12516 50009\n46895 62280\n42117 63561\n19794 43160\n15880 81705\n11337 31856\n4819 5236\n5360 98952\n5782 65410\n36005 52680\n26611 52027\n61338 88713\n16520 78221\n60808 97126\n57904 62589\n74503 92763\n30427 92223\n18647 85396\n11823 62209\n18470 29107\n26667 77300\n41104 73590\n70515 84534\n30542 57344\n6779 45481\n18129 49337\n19522 46630\n48496 84452\n61286 74132\n48908 71678\n3286 88509\n76281 90303\n34752 72957\n51830 86887\n67161 72886\n30760 52187\n64731 90427\n44945 63044\n15369 40501\n27896 40637\n24747 52004\n7679 88757\n43464 87547\n9252 52782\n15762 75184\n33494 45094\n85899 94655\n13415 62004\n6284 64366\n68898 71353\n48906 59256\n6677 47609\n54680 93115\n45707 62575\n51109 95722\n22610 40529\n41097 93494\n19723 47962\n82733 90852\n38506 85099\n1370 97342\n66522 90686\n18083 57653\n1334 84918\n20456 59625\n66598 80403\n37672 37903\n3867 57098\n51361 61885\n349 65406\n23353 95953\n94596 98540\n21348 85719\n4673 53674\n56471 86517\n19329 42709\n6249 54685\n1027 38128\n54693 79302\n15484 47328\n11484 81343\n19885 67463\n42968 64515\n17914 46226\n7290 83617\n88662 96498\n26217 87675\n38532 66114\n25926 45241\n65469 86544\n21124 76420\n36706 57800\n24105 27892\n17322 67891\n5155 65187\n86955 88623\n17660 29006\n8606 73158\n29774 54283\n15816 73508\n1439 89231\n54464 80551\n67312 82466\n71215 97787\n63417 80632\n33617 92489\n14530 88391\n6293 47021\n54849 61560\n33714 95097\n32705 94997\n74647 78427\n13527 89605\n18397 57374\n32316 72175\n17009 20120\n15976 44529\n27873 78803\n3396 57783\n3003 99095\n38624 74479\n61991 71264\n3478 83641\n46807 92341\n37247 72278\n56550 93516\n4068 26675\n82134 93664\n43887 82548\n35163 52207\n26853 86337\n44720 74211\n89779 91685\n3556 4941\n39449 62201\n53434 98714\n71151 97773\n23522 73726\n81425 97727\n42622 46770\n61754 90725\n56620 70279\n27254 84583\n9832 12314\n47539 74950\n50849 90747\n26107 49995\n3421 63458\n57316 71201\n3543 35262\n40190 78626\n70465 87601\n25668 89896\n54331 60681\n40659 56907\n70276 78060\n22632 92726\n13815 28605\n24547 93271\n480 29626\n13401 45912\n31695 60998\n80505 82698\n41620 77774\n10739 53994\n48357 91594\n59642 71137\n818 13186\n41012 90566\n40984 81139\n37621 92625\n76671 79039\n26891 27748\n35586 55678\n11983 67616\n58477 73257\n81156 96313\n59384 60859\n2889 10374\n47959 60739\n52522 77763\n8062 22633\n28669 59519\n15854 39763\n89330 90866\n45470 88996\n46311 92277\n28867 43589\n36669 55358\n24719 84299\n24560 92854\n52447 70386\n25271 33808\n42163 58917\n23499 51930\n30079 87002\n25452 39704\n42532 76497\n32521 76043\n56047 89691\n24205 62855\n42556 80072\n1672 51546\n47961 93189\n15280 48346\n6231 66150\n28582 79843\n60124 86817\n12109 46226\n33327 88718\n62357 86834\n42208 70581\n10408 68368\n68230 98315\n13754 35374\n45545 92262\n36665 88236\n691 50070\n9393 22171\n31194 79300\n10366 83518\n845 64250\n44451 66570\n29646 40695\n87252 89124\n46483 92826\n17837 90754\n95124 98580\n20714 91679\n6590 58963\n10129 42214\n22162 29629\n59989 97322\n60932 89798\n12400 61972\n35351 86940\n20590 79438\n6659 35194\n19611 59079\n23950 97854\n29311 50526\n2708 41043\n29032 60322\n83102 86790\n35483 80622\n33024 65420\n27013 69221\n6942 87601\n58878 94310\n61059 61621\n7967 85503\n13204 71522\n4932 24148\n12952 75498\n58364 83219\n34133 36365\n8834 54229\n64164 90205\n71199 90051\n4225 71126\n17958 19068\n31024 69455\n18747 28632\n50153 87737\n11999 85231\n75388 95697\n77175 90058\n27885 30900\n10501 63250\n68891 70096\n77001 99487\n7452 90643\n63056 99886\n67173 72342\n81086 96404\n11166 63293\n9075 43504\n29041 80517\n14766 29947\n14851 66999\n3745 54731\n72602 75643\n2353 38408\n29374 86196\n24839 98670\n25502 48208\n16570 74963\n42547 95334\n5241 24501\n455 66574\n7136 83960\n12986 36428\n15953 43267\n7995 40247\n17851 89676\n74993 96626\n27829 82745\n907 79664\n27167 57996\n12853 80246\n4450 91127\n32789 97497\n48872 99336\n35366 84166\n49103 53174\n74359 77123\n16966 51836\n22242 93516\n19535 39519\n54463 99232\n5521 90249\n37006 42247\n37137 82805\n19953 23728\n14895 64336\n58031 90835\n63134 96076\n32868 51230\n70213 74170\n18729 46600\n16149 50034\n14524 78175\n7003 53900\n32051 75706\n18352 77910\n14031 20662\n6609 17321\n266 8253\n49202 69279\n11019 50231\n10687 48322\n34328 92547\n15813 90771\n44175 61454\n4940 69199\n44723 73279\n21252 73482\n60688 81746\n30698 58314\n9336 58451\n70787 84746\n312 26557\n11211 78696\n13625 69437\n92516 92961\n2948 54632\n86833 88296\n43865 92012\n28390 54980\n12266 19971\n77677 80304\n7420 10150\n22920 60341\n11129 82380\n37607 74364\n57481 80546\n5590 64921\n49185 59676\n92864 97000\n49916 96995\n83012 97275\n5290 73601\n22158 84274\n39358 68868\n18469 56492\n39031 96679\n50358 63332\n20086 44469\n26854 69630\n82901 88505\n25719 63475\n46386 82237\n36728 63619\n80716 88771\n45543 82745\n314 51730\n50845 53232\n42981 69713\n37359 74302\n1827 22586\n25235 38562\n7020 37778\n47303 78145\n25387 61883\n20253 68795\n28349 99458\n43686 75250\n3088 50849\n46585 85018\n75854 78794\n78175 87788\n56948 94110\n26432 97028\n38259 72270\n15929 20186\n64702 83686\n28984 71335\n49144 54345\n50269 98266\n37082 37250\n60380 69821\n70325 74828\n34947 90065\n14220 71058\n41440 68950\n23778 31732\n86619 88119\n18324 77904\n30809 41776\n29242 35554\n4939 15255\n26346 53272\n10697 96969\n49486 61289\n6901 19154\n53946 56268\n34424 88112\n19371 61863\n54928 92352\n1524 14132\n16492 33811\n26744 76217\n21319 92366\n47025 60660\n11363 16579\n51796 73167\n20691 91936\n595 89987\n22567 56252\n22901 92679\n6011 79116\n76089 79754\n27373 48503\n49244 91864\n91635 93244\n18341 39691\n61476 64412\n1581 44356\n29641 62866\n10197 18956\n42433 83107\n5266 46374\n20337 41890\n9502 58117\n65854 90044\n52460 85928\n81532 99261\n40682 49448\n76170 78023\n20489 55003\n6297 24087\n26776 34888\n89972 95544\n24001 91447\n8433 33393\n58325 75002\n56862 88803\n79747 87743\n12961 13588\n55772 91582\n22545 42575\n54523 84442\n71898 75377\n4959 62472\n10006 17007\n75409 96661\n49099 91292\n2752 90469\n75404 76409\n88528 91226\n9432 38039\n5211 74439\n64590 97010\n12416 40873\n54410 61923\n21287 88787\n32331 36998\n32505 34400\n17231 49419\n45591 56352\n2257 42393\n18528 27666\n37914 59999\n8755 14080\n57974 96095\n24943 81131\n15812 27879\n20892 64662\n48053 53919\n1897 52005\n17136 48531\n37209 79081\n8161 60748\n38336 76683\n3155 46679\n37987 42938\n51304 76774\n18407 42654\n62238 70921\n17984 41045\n39146 49684\n138 27310\n64604 92659\n17923 57694\n21774 99505\n68695 82885\n43852 74336\n80130 89840\n62409 88135\n68114 73534\n30955 94647\n79008 98162\n8312 92005\n32397 52197\n14587 26832\n30861 45753\n48112 69765\n40609 81511\n22451 38442\n72767 87537\n5209 16657\n44685 90606\n69478 87382\n53677 70252\n55221 91694\n931 7546\n8191 18800\n4258 25078\n39688 42161\n48278 80298\n48395 95639\n67694 93205\n1725 67192\n11784 80533\n6247 84942\n5790 37715\n62395 69864\n48932 75256\n25768 93997\n78583 89448\n43750 72902\n22580 34887\n67931 99467\n22912 77903\n67581 81630\n10782 29067\n36835 74857\n11674 61485\n2545 86211\n20952 82187\n4161 10045\n3059 25987\n5289 79673\n16857 91657\n62320 96966\n79728 81297\n29767 90402\n82479 95567\n13319 41644\n94986 98156\n64579 94068\n38504 57167\n8276 28829\n46109 80161\n5465 70787\n36643 60042\n29329 97099\n48296 94421\n8094 89125\n46768 64493\n20967 91513\n44158 93803\n85805 88118\n72768 75060\n66706 90250\n22327 39696\n9002 85376\n40519 72879\n12524 47079\n9927 33698\n41726 75331\n9831 45847\n13842 73266\n81686 94540\n21728 31312\n46143 78725\n42888 85150\n11336 47409\n1935 40775\n9802 40896\n4119 83936\n11875 60113\n42486 63250\n58103 62630\n8278 12310\n9266 15754\n27745 30064\n70139 95642\n29181 73383\n25767 77397\n32827 66944\n1291 98054\n72872 74070\n21910 32039\n248 16100\n16614 32036\n6367 8158\n29693 37164\n23847 52171\n70467 97389\n44104 97568\n17608 94512\n3216 64388\n40489 91166\n25707 88702\n37444 71853\n24578 33962\n70317 87633\n23687 84214\n40751 80100\n65046 96282\n38303 57178\n33581 61356\n17548 57544\n22075 54692\n78801 87339\n14382 70634\n61213 84724\n62134 98390\n3783 33683\n20813 30066\n5107 31044\n19300 20211\n3120 41593\n82169 93460\n7017 85954\n29356 62683\n20417 87097\n35594 68392\n13398 91328\n3808 12463\n45667 94409\n91633 98650\n22267 54335\n19511 91624\n16790 31471\n42492 45966\n1615 85468\n4944 41869\n74121 82939\n43724 77953\n2862 31871\n33075 75200\n19852 86275\n37848 59764\n35572 38572\n14672 76759\n59402 84109\n63498 76857\n17834 34197\n8085 77298\n34268 41175\n35723 91131\n18171 60712\n26604 27474\n34185 97400\n48191 87609\n35138 42043\n38789 83482\n28076 96571\n45815 53053\n15116 89761\n14451 31433\n48160 72428\n13233 56013\n516 96754\n37543 38293\n54297 74338\n32184 96277\n53080 74913\n28488 96627\n28819 97377\n77947 99100\n2432 9469\n58222 91934\n31287 98131\n74726 99751\n17039 85136\n3625 49785\n27867 62809\n5016 28555\n53526 69175\n59736 99645\n27887 59952\n70584 78119\n6294 88753\n7043 74662\n17954 26906\n23805 85896\n64321 76300\n9956 82228\n37787 58419\n8040 95003\n34378 55263\n614 35270\n20981 83860\n3062 45385\n25930 98433\n62039 92724\n2710 72883\n49559 89055\n48866 71711\n27140 81099\n24571 69708\n31482 94761\n14290 62177\n10422 48656\n22069 80839\n79305 94917\n40895 48836\n70143 76423\n26947 37632\n46784 64312\n44755 51216\n92924 95518\n10159 78745\n18025 24367\n1607 91255\n14037 98674\n73318 83804\n3979 85003\n22864 61234\n90791 95654\n35825 36398\n34228 38194\n42207 96320\n8479 34282\n85274 96378\n6713 11171\n15410 46623\n61679 90614\n23529 44290\n21593 99535\n56586 97994\n83154 97566\n38117 68048\n38888 41737\n17082 54988\n5812 56358\n18802 21618\n9734 97422\n9894 61983\n15648 35971\n33113 84608\n65959 97913\n63945 80176\n1333 61659\n38306 80326\n48985 69181\n11390 95656\n91843 95987\n3525 54671\n33742 86176\n60597 60620\n44448 46394\n5384 49832\n34262 35468\n54847 90043\n89113 93825\n25445 91986\n24753 48899\n25451 34066\n941 43060\n56165 94159\n58 87652\n26696 38105\n68900 70148\n52017 59022\n806 29063\n39193 86526\n42257 61124\n51327 82118\n40863 50507\n26448 78537\n46446 68884\n28709 79356\n14940 20967\n48934 93747\n7605 51331\n777 98418\n45642 94189\n62778 87875\n31720 46275\n68668 71601\n22709 81093\n14222 37053\n86472 89988\n8688 96943\n68061 97947\n10617 65863\n20447 33188\n3272 48962\n24735 33783\n77530 96235\n18410 67403\n88614 89931\n11698 68116\n54534 88844\n53191 77129\n2786 61458\n34442 65984\n6406 81841\n89262 95977\n21746 23648\n5762 80609\n43459 95463\n18530 67520\n34639 34969\n54925 56808\n25660 88936\n78461 98654\n1342 43082\n16136 65246\n13348 20369\n10426 46791\n14035 77714\n10351 74903\n20457 55352\n93629 94995\n10514 98528\n3671 5168\n16344 91539\n11268 38470\n37207 55462\n65582 99595\n8845 14830\n74000 82210\n9544 36268\n18918 19572\n84913 98278\n27243 52731\n67928 95998\n63467 66056\n12266 23724\n34940 67869\n23503 41080\n72427 89969\n6824 91452\n26138 39168\n5424 7919\n56093 85590\n55479 72587\n38712 56556\n9729 28817\n15507 70940\n45037 55901\n52306 75259\n68026 83334\n5027 36844\n14593 83540\n11352 45621\n43631 75941\n68824 70032\n13215 19072\n50575 72212\n15937 47184\n49281 57956\n42696 91746\n43389 69481\n25576 86975\n74423 75874\n37127 57837\n81599 91552\n47966 63925\n17357 96494\n82801 90542\n33881 56540\n4944 48815\n92929 97030\n20703 84883\n26837 71955\n8283 30400\n48648 88716\n1169 72340\n27972 45920\n1654 83666\n40631 92819\n76722 95360\n14133 56985\n3893 79531\n76097 88805\n55823 64985\n31569 32239\n77996 87722\n27515 38360\n3917 58111\n73055 80711\n54249 93534\n39080 77465\n14390 64584\n4167 17829\n60730 69504\n42029 99305\n49052 67221\n19945 92289\n2705 64635\n12403 46691\n7822 40848\n45221 63968\n15016 95803\n67261 85599\n16450 87361\n37211 89284\n28251 75145\n21803 22899\n14576 75985\n44125 85111\n10802 41338\n6426 96296\n26456 77803\n69186 92729\n59208 90754\n18379 27849\n10686 73136\n28022 98882\n71302 91285\n2115 50336\n83935 88531\n33151 58842\n24999 27246\n7708 58849\n37746 80048\n17945 66460\n54192 77307\n42168 91167\n29234 69607\n30873 56501\n966 63187\n41122 63385\n57631 88032\n10448 62063\n3647 11900\n228 41241\n53927 76747\n14602 99615\n715 33425\n1130 97661\n10721 59336\n13573 90493\n35433 54287\n10464 72282\n62095 65319\n67818 78556\n75394 77534\n9426 94708\n38773 53840\n16699 81119\n10913 78094\n60182 74067\n55271 76549\n61634 66245\n71608 98479\n65725 98013\n43561 98767\n88484 97303\n57188 88321\n50978 93266\n57220 84598\n17074 42489\n48235 87535\n10859 55880\n1899 94185\n37164 48329\n20223 63242\n31168 85699\n62082 99174\n14159 86117\n25943 68209\n55875 61381\n46381 76008\n27893 60818\n48363 86359\n50492 68396\n36354 62610\n75587 76005\n40726 72069\n43429 90204\n15024 88615\n17570 57874\n5517 69972\n43885 52681\n25725 38614\n36433 46328\n39743 57794\n64740 70687\n7869 64567\n26551 68961\n84886 91618\n58549 70633\n58414 77484\n38907 79589\n18218 46282\n16972 87981\n9251 94770\n14603 32742\n20748 41682\n78387 92779\n54603 97258\n919 23860\n36805 55838\n44518 76239\n13715 41237\n39602 54600\n20413 59209\n46106 52631\n16730 26509\n44133 80341\n60024 77231\n45833 88087\n6710 30418\n69038 77307\n47110 88562\n28346 91684\n80384 96935\n34629 92792\n58788 94736\n24663 62675\n79913 80743\n23769 72744\n61553 81150\n3574 25999\n11862 80732\n48781 85768\n45787 53900\n49714 56145\n57925 58230\n33606 46239\n335 13268\n24022 76459\n83059 93867\n9823 51326\n19796 88052\n30774 34994\n62435 68799\n56528 67026\n76997 89358\n17315 90114\n75927 88489\n14904 26575\n24490 88463\n32514 64097\n14657 52833\n493 15021\n12841 43585\n33081 43886\n34287 80088\n40589 90845\n56683 66069\n78786 95798\n39178 93016\n12778 99954\n60091 81473\n58198 98215\n71196 89039\n1367 86797\n8460 60504\n29938 77987\n50270 65127\n58216 74069\n10463 84027\n1109 12305\n77380 94360\n83145 98320\n12154 95789\n2418 91747\n38927 88803\n19517 73583\n7334 72108\n67507 75305\n23296 55441\n16510 61730\n39020 77723\n10418 44493\n16680 55261\n16999 86944\n21917 82623\n3889 70111\n40511 52592\n84214 90587\n56882 67490\n15598 30227\n11350 57711\n27317 83648\n51291 71223\n81807 90226\n50197 87690\n10235 45981\n23668 35862\n7124 35621\n33906 62549\n77446 97346\n26469 99841\n22220 74640\n5533 32917\n20850 76990\n14204 16193\n35184 74012\n78859 95104\n68256 75330\n6922 97216\n25760 63215\n5532 35879\n6897 74782\n13230 74063\n26083 47818\n5560 68838\n7637 49534\n50019 81654\n9188 43847\n7563 73261\n601 92593\n1329 79137\n18815 61911\n46753 61857\n73645 88815\n10473 60573\n64570 87405\n65113 98409\n90488 93360\n70123 79975\n47762 81154\n7594 37446\n50307 61251\n4241 12195\n53653 90393\n15324 33510\n41783 88927\n11330 37617\n62793 93667\n29533 35617\n92424 95372\n23911 25300\n40326 91850\n70832 73407\n17467 87393\n29802 56435\n26229 93126\n26349 50047\n60755 88555\n68628 87417\n31694 51723\n13472 22827\n15055 98113\n56912 98431\n18825 80202\n58405 94305\n88133 96158\n21323 87002\n28645 37056\n2641 58126\n14062 66016\n82242 89566\n63295 96099\n73758 91799\n39361 62535\n48250 85841\n60252 80859\n34975 43053\n31402 96079\n26551 93148\n18819 25311\n70330 74019\n58989 86654\n27694 43192\n3833 42802\n28437 32014\n8555 34014\n11448 78881\n42580 50656\n36145 57833\n8992 86166\n24675 59659\n64669 72014\n8243 42783\n59367 63860\n9146 48322\n40684 55344\n43108 53352\n61858 74948\n41525 67803\n79183 95183\n11409 31251\n11591 96121\n13624 78864\n30826 78566\n9453 26374\n6944 96988\n40040 75739\n40141 89176\n57384 57485\n34683 53865\n4536 17470\n34006 66356\n27756 60358\n80545 94199\n19289 91744\n3207 60952\n9709 44808\n11850 63377\n16936 52376\n25967 46170\n10556 70606\n49377 81521\n44040 90494\n39569 80778\n4591 42106\n12217 67963\n87484 98560\n89493 92793\n5970 59554\n90726 93734\n10370 28001\n4337 10479\n42581 75622\n28479 97373\n34904 60118\n26298 37381\n1056 35106\n10438 49061\n8398 99598\n2082 11467\n25776 50608\n2052 79198\n34260 77854\n46968 96479\n14871 79015\n8855 10844\n52588 68277\n14662 20650\n22458 29781\n15161 94000\n14500 67569\n7577 94082\n31288 72953\n6831 99967\n51830 92273\n35734 53735\n5713 96793\n42071 81431\n19689 73525\n68292 93059\n45905 58876\n7349 60139\n35772 77475\n21505 78030\n70175 75776\n75290 92671\n39095 98361\n75730 97554\n16725 63416\n28360 47951\n27917 90077\n47331 88756\n23357 62703\n64662 98543\n50764 57283\n37865 48766\n49816 78227\n48350 91820\n31531 74632\n10652 66899\n723 15584\n21040 33349\n16002 40058\n33736 56595\n43447 93901\n20276 94028\n18271 26977\n40529 97734\n47930 81889\n42133 66379\n73909 77289\n19778 23694\n426 80484\n7521 32827\n83648 89770\n43127 69852\n19411 30937\n41868 85457\n22380 70439\n6038 58685\n54186 56251\n11593 13964\n3262 72105\n14756 18774\n49700 81917\n36231 85737\n62473 77413\n29654 49838\n2451 63465\n9312 66982\n25320 40886\n49717 86805\n31544 87976\n46242 47432\n21764 36778\n24750 54398\n36265 64550\n2536 96798\n27380 37559\n56592 90951\n9953 76439\n11932 88703\n66863 92983\n13455 19775\n35295 88404\n23752 93176\n8761 69559\n20803 96055\n2783 86717\n35631 96756\n33801 46531\n21298 69134\n36676 79870\n11653 39001\n39390 99697\n24709 83248\n24162 94920\n4489 76994\n32437 92056\n49241 69669\n17178 63375\n35503 83933\n73427 91235\n69008 79310\n45506 90351\n48358 72974\n85738 94956\n56215 90225\n47934 84371\n405 73237\n5108 36736\n23277 92074\n2504 61578\n31617 94725\n52329 58833\n62102 66994\n49305 88284\n49770 98441\n48931 53690\n28071 49899\n74839 97836\n32253 62492\n51431 65315\n37126 40470\n49973 68616\n1134 76968\n36290 83890\n39445 55700\n14858 66387\n12604 19218\n63381 86956\n10345 72309\n61529 79652\n3188 49364\n3517 4784\n2352 33579\n22493 77323\n24020 58329\n25851 77668\n299 71104\n68735 78247\n19732 21662\n7875 18935\n11634 87470\n11886 95180\n68974 74700\n6114 91864\n15287 86733\n22062 77722\n41478 81421\n19706 44060\n17334 62800\n7117 19474\n30587 92245\n10067 68973\n77547 97857\n73016 88831\n2568 61146\n40446 47912\n44183 88224\n44988 58688\n74393 77252\n18895 46287\n65030 90318\n54975 88501\n25506 69968\n30159 41585\n90528 99862\n28074 36210\n34811 42921\n65700 65884\n11398 82545\n61824 89490\n20640 84101\n62686 64939\n6361 79958\n25831 42315\n19365 21766\n34385 35014\n13676 61178\n15634 82927\n338 23524\n16939 94092\n57812 97495\n45082 90435\n65147 87314\n29240 63730\n55887 56328\n29917 69940\n43974 87206\n21668 41890\n69400 92650\n27551 52950\n37442 50979\n19692 68101\n72133 76234\n18524 96596\n64652 76149\n39440 49109\n40804 95213\n63281 75634\n12267 66948\n6415 35254\n2839 82273\n52360 97883\n5594 69761\n24102 25595\n30970 68729\n9583 24648\n7550 23272\n26629 43514\n21624 75369\n22670 87301\n25723 43032\n51611 71260\n17655 96324\n22328 62834\n4975 30184\n14004 78606\n33933 44922\n76516 96339\n15399 59896\n79717 91590\n19208 55424\n80764 94447\n65794 67969\n33703 36747\n7411 54308\n4525 18860\n79823 99663\n16161 42788\n13611 58235\n11392 79334\n43463 45501\n16377 47439\n27172 59500\n39878 47242\n50311 63933\n24561 67572\n17659 86149\n14185 55830\n3415 89652\n89598 91907\n23215 88981\n47653 71515\n59909 71002\n55478 98465\n65855 77376\n9464 79955\n8432 49793\n23608 45383\n38767 66591\n22980 36626\n10700 30881\n6158 17735\n1076 50873\n43141 73637\n40370 79049\n12133 14839\n85969 87221\n17931 78430\n8791 25488\n576 81276\n12542 19730\n88218 92922\n20113 40116\n48217 65925\n52334 79748\n52425 53856\n63337 78804\n46194 86456\n6344 95794\n11131 59244\n57298 71532\n26434 43720\n66966 69474\n1684 28303\n21359 42333\n49251 93804\n10031 28275\n29343 84222\n32684 91396\n18529 56958\n76756 92773\n50369 64224\n11386 25474\n69663 86968\n29206 74073\n2654 7764\n91308 97323\n22143 69620\n41811 49036\n53266 82514\n12663 52830\n51718 78955\n7474 87149\n4035 21634\n6055 6291\n15409 96622\n69428 94926\n69197 89734\n81238 82008\n20982 71718\n28455 66030\n1472 6713\n5235 53312\n55590 72523\n12722 29317\n16948 46283\n18942 35717\n17219 54067\n2212 47097\n83358 96362\n37579 82043\n78630 97577\n25340 96763\n63584 65864\n11643 13632\n31923 33487\n29654 63799\n82342 88919\n59755 67826\n79307 99614\n37129 63995\n25133 39396\n85043 98106\n76469 95600\n44801 82723\n73955 90109\n63622 98468\n36386 99026\n15912 32483\n33800 64607\n61710 78723\n8727 45600\n45787 85955\n8283 52304\n48966 91601\n9491 10034\n60098 91833\n3335 96721\n47195 95750\n4227 85036\n36933 61801\n20408 55159\n31120 88829\n31388 54346\n5087 98927\n54946 81247\n13422 37963\n20455 71652\n8535 87439\n54984 55483\n53739 67464\n29210 89850\n5833 57744\n55621 98461\n64541 94269\n89348 99631\n9946 26296\n50371 50523\n12551 86489\n12390 97362\n51614 80924\n69227 74654\n77394 89154\n39395 82607\n6890 70787\n42483 46424\n13419 82428\n2623 76341\n7794 68270\n42592 62121\n9436 90339\n10574 23544\n19603 21425\n12685 91250\n78166 95927\n44068 81946\n32185 88146\n12446 65059\n38026 38625\n60800 70886\n40367 59021\n33297 83440\n23341 58848\n42270 74427\n11117 56257\n56997 66284\n21738 98148\n26872 60811\n49034 85698\n97376 99152\n19458 22600\n7157 92797\n56605 98274\n34232 98440\n59245 70870\n19657 71169\n32274 55222\n12232 23916\n32516 35894\n27948 35208\n22677 42100\n14506 38876\n5349 12257\n1931 96829\n31760 37414\n39811 73312\n5846 59388\n5169 42636\n46755 87988\n84876 85727\n40540 81268\n32521 48522\n985 95443\n55535 69774\n21986 83050\n70600 80925\n83518 97383\n6135 53945\n16563 83294\n4598 39618\n54251 86426\n34875 52380\n23380 62534\n23982 59379\n53995 64896\n4941 92455\n42515 90377\n26985 47704\n10224 69417\n5828 71341\n63723 80966\n20493 70368\n8480 27263\n57284 91389\n7639 66453\n36548 55511\n71449 82366\n2572 39465\n70211 77456\n29717 33907\n23337 36602\n41428 95018\n53212 97994\n9070 51019\n61311 71370\n38537 75057\n16438 85953\n9633 46443\n9694 92484\n57356 93202\n4347 26169\n58568 90582\n12327 64297\n55838 89275\n73344 81515\n1665 35686\n58479 63597\n37357 47119\n78058 78475\n54109 72616\n60037 61189\n69170 80055\n1975 61495\n14242 47136\n21443 26589\n18036 39210\n40370 89882\n95270 99572\n41653 47372\n44467 50269\n78188 93775\n17015 38789\n69433 96285\n33800 71132\n21831 66236\n72623 96230\n8523 50387\n81322 85201\n10688 54805\n13189 81136\n95115 97429\n42807 51827\n18332 63018\n87909 95181\n37882 99780\n13467 67025\n16071 45501\n51259 96136\n41218 95994\n8875 85137\n22296 64344\n58266 94113\n46597 46945\n54910 71912\n33447 46281\n46029 95882\n21364 46262\n7506 99356\n5251 44142\n47342 57804\n31077 56995\n43950 80661\n57806 90392\n26572 27303\n12672 23627\n38862 41772\n27524 51963\n30011 30848\n4672 13571\n17426 65465\n51439 58793\n27500 85984\n32406 51967\n21746 30571\n10919 30582\n26540 52115\n35379 85128\n50039 79338\n55278 91431\n25272 72601\n59192 67571\n53006 82515\n69799 74269\n50907 82567\n3475 54340\n60995 85293\n25825 85646\n16789 95655\n11280 47802\n46659 59064\n36565 54657\n63114 74426\n25143 84947\n23923 53042\n33336 70884\n9482 65663\n2729 38474\n34578 73287\n47636 66546\n8359 87278\n29802 36166\n45849 92047\n22033 83133\n35013 54783\n52858 67261\n27498 63925\n15486 83204\n92191 98371\n11292 14400\n22678 86696\n13438 91553\n21188 69238\n37598 57343\n39494 75781\n29979 36427\n26823 55098\n13172 56254\n34230 97838\n10924 40900\n87773 89119\n3224 76505\n58016 92404\n75716 88448\n7082 99079\n24257 95611\n55199 90136\n27115 48724\n18411 21603\n29239 35840\n70884 97226\n38340 59812\n12682 62613\n28859 76824\n65091 86509\n58506 97804\n41371 72157\n45870 84385\n41342 84810\n6109 69520\n7827 97096\n26470 34631\n78692 96846\n47589 91394\n20518 64612\n22818 65800\n77371 84383\n14281 29591\n50002 59143\n43821 68921\n24639 56127\n11136 59120\n30926 40098\n57478 68247\n30052 80796\n28946 76721\n24937 72551\n3685 47307\n59826 63308\n17169 83956\n26996 67297\n1850 97334\n64297 85652\n30576 42562\n19703 50685\n78419 86871\n3991 86782\n47088 75077\n63528 92981\n22689 92363\n8190 87299\n4270 63048\n25573 54226\n32291 57301\n63495 73730\n10926 48223\n11203 16353\n19158 70685\n61505 79986\n44268 71002\n5819 49773\n29215 29795\n77656 88662\n34700 50481\n9752 81801\n28451 34461\n13736 36668\n16921 73490\n4007 98907\n18434 89288\n1393 26049\n48912 68779\n3371 49204\n68137 76820\n28996 66867\n86850 93621\n4663 42275\n15369 85947\n43751 69918\n23104 99448\n41703 54063\n28964 78204\n45316 46383\n7749 21011\n18761 65737\n14071 29372\n46447 70154\n26626 92629\n48397 55781\n17644 48824\n31235 38941\n88461 93085\n81642 90526\n36900 90435\n5284 83796\n13351 38370\n87389 92104\n5783 14037\n11658 34402\n31894 33440\n3234 91529\n11513 41328\n82953 94273\n22253 52648\n27542 52898\n31844 93377\n24331 77339\n16911 43928\n6766 41251\n61542 86107\n58992 73511\n25709 64118\n11707 37847\n13920 57563\n74590 86950\n48263 91660\n10874 70596\n686 79813\n23352 72110\n13627 31335\n1665 86979\n17181 46509\n16699 55456\n4988 72634\n7377 46778\n31957 51173\n3513 70690\n8869 58423\n80209 93104\n49338 77860\n21903 95222\n65347 67057\n66736 76567\n30984 50071\n39461 83641\n41880 97022\n24381 89212\n16320 96361\n42282 70626\n11366 91810\n45261 96191\n42564 57174\n46470 61861\n38701 74466\n10075 67995\n51192 83005\n80725 86256\n15148 93536\n19511 66491\n78147 85347\n57492 63972\n30264 91996\n25484 84273\n27156 48012\n38809 41532\n60490 65087\n42295 82954\n6092 91326\n14980 26421\n38331 68459\n43952 93509\n2998 24218\n14685 47975\n3359 11074\n78253 96287\n44805 97416\n5887 45967\n33990 94259\n40294 56409\n43554 77590\n27526 43609\n6888 92833\n68828 98462\n74650 87984\n11194 57549\n3649 4497\n51107 52894\n27807 92431\n3182 93451\n16166 17576\n70969 88787\n6270 83870\n51131 73620\n36440 38227\n17770 32672\n989 73692\n41155 86682\n41312 50679\n377 97734\n29538 41476\n23376 99334\n83898 90698\n35570 39943\n86411 89524\n21600 33600\n42365 47784\n73161 91191\n62456 98266\n8560 68296\n35758 51956\n66463 72973\n55368 65562\n55399 82100\n26199 27146\n35045 41385\n7258 43658\n6429 56948\n23769 39972\n1749 67361\n16712 70261\n14011 30437\n27470 53393\n21895 87503\n26652 99924\n15204 61029\n70210 87287\n18946 49953\n34011 76018\n49300 66297\n5689 16493\n42328 51718\n29850 48078\n15452 94221\n56490 64427\n70436 96977\n71048 94914\n72104 72892\n50199 95599\n83437 87141\n43727 90978\n21579 67263\n37248 67543\n14615 59596\n11679 70515\n25301 25710\n8250 35411\n8346 15545\n20326 93682\n65509 79551\n31237 40572\n86843 90855\n34997 77257\n10753 67974\n25482 99665\n57069 79262\n79834 85812\n1948 49943\n21376 27430\n30754 72447\n32618 60542\n5396 7198\n7989 18669\n26803 52281\n37159 74484\n5847 33178\n12585 69203\n59847 73120\n1713 50764\n86865 90777\n96031 99339\n60727 61428\n29782 74598\n8564 49476\n10815 21993\n15176 33186\n29321 63743\n21027 40889\n49831 79730\n4499 67437\n2256 32593\n29474 65143\n46881 85979\n3377 4604\n3318 63770\n46703 94386\n59636 91002\n32957 46460\n74601 82638\n32802 44916\n63726 92017\n86093 86861\n3626 67051\n3245 26667\n36039 48341\n55943 95842\n73155 97982\n8796 22436\n68504 98593\n14018 72627\n24414 34486\n2147 24942\n26813 96659\n42967 68041\n34800 63339\n32824 72088\n11413 50825\n61179 97985\n27733 87440\n45868 73937\n63593 81317\n45533 88523\n76958 79734\n5895 51125\n40569 60743\n27003 83526\n31136 36342\n31361 75820\n39997 61401\n62105 73341\n69942 73493\n44222 96933\n53106 97108\n14032 88455\n46929 62149\n8516 87218\n43753 46610\n84686 87938\n53082 76809\n49590 79354\n48901 90255\n53976 78738\n66990 98909\n23593 74630\n44165 58068\n17176 48716\n73489 87028\n17187 86131\n65730 74403\n64539 99929\n92959 94167\n5725 55919\n42327 48836\n9410 96019\n70188 99044\n69403 74334\n84046 90308\n1684 68814\n12973 55114\n18945 33347\n18709 69052\n4384 95147\n29219 37418\n38906 80804\n43573 51342\n12272 81222\n60181 65720\n40303 65503\n7304 72673\n39906 45346\n4560 16074\n5210 31133\n14125 35760\n14403 26111\n35552 60218\n23705 42851\n21097 87284\n25461 71437\n52359 70570\n5162 72794\n2362 47457\n20365 57988\n31890 68630\n18022 28547\n30112 98583\n30511 58187\n11213 65477\n43228 49758\n77226 81704\n40491 50849\n53477 83072\n21244 84138\n5356 93673\n4574 82627\n37765 80179\n12509 48690\n73941 75648\n65891 97142\n27954 35888\n3691 37050\n22809 25333\n53063 61232\n30114 77374\n68785 84073\n42843 73420\n19473 58496\n12493 78923\n17493 22425\n34152 49659\n42542 57384\n24262 50776\n19748 55168\n71939 74842\n4808 50206\n63484 66411\n56086 61397\n4454 61898\n10916 89088\n8220 77795\n41201 98759\n76664 95763\n22800 36944\n20681 88874\n32974 67378\n11113 76649\n69025 97770\n34276 36986\n40020 49439\n38977 86148\n56772 99910\n7288 66831\n50529 87792\n77873 97287\n48648 85855\n19364 74700\n4036 85464\n51544 91440\n23325 25125\n74603 80906\n9883 49418\n46693 68278\n45264 65074\n42632 92476\n16872 81953\n41515 44810\n32209 83879\n33120 71820\n4246 93970\n47748 62436\n36320 61365\n8935 49943\n47342 91941\n22641 89094\n5635 40608\n13657 74073\n5361 58602\n29964 63462\n11157 91565\n8850 58718\n11892 29329\n7557 78007\n15248 96046\n60679 71955\n6488 42087\n23282 71629\n45763 94834\n26296 77688\n55117 99992\n76694 82228\n5483 26331\n56116 83704\n52150 72722\n96801 97679\n14514 68808\n5240 9396\n43176 59128\n1517 4763\n80525 96634\n83034 91424\n82467 96144\n31802 66782\n24571 68948\n15564 45419\n67326 71441\n16031 22702\n76158 95187\n42256 81926\n7391 9256\n27885 69403\n63151 93383\n25571 27785\n15257 55056\n250 14488\n1542 38999\n16753 44129\n45354 75148\n40327 91300\n38052 71287\n41074 69771\n4196 16542\n767 22415\n37672 38595\n6374 69637\n47243 96068\n870 83341\n48450 77399\n10210 63021\n27367 73125\n43422 63781\n19149 55011\n32551 79756\n67029 75026\n24699 94221\n43971 53532\n42164 74645\n7725 69299\n35489 98441\n11457 68255\n31538 86147\n11734 78649\n23220 38068\n49846 62177\n14040 89285\n42697 78130\n47617 74268\n75559 91607\n7192 32225\n39487 62336\n33758 91258\n45713 66924\n41210 83282\n18821 58202\n20975 49218\n60874 98821\n67902 76676\n36539 46664\n60448 90984\n44043 78744\n78416 94280\n70006 93938\n30219 49428\n23964 91866\n40708 89631\n15454 86555\n55587 85443\n41414 96189\n35863 80024\n65716 88820\n88125 98452\n46452 50290\n57751 66020\n34952 86345\n58538 63281\n43564 98892\n57761 61821\n11477 23990\n75631 75946\n46201 51826\n95343 96281\n14790 81263\n15241 93701\n18833 67088\n54870 74000\n11170 23148\n50398 64126\n3201 34991\n37132 40103\n54263 65818\n47769 74183\n33175 71997\n50145 81196\n29494 85185\n2380 55966\n1069 69283\n63271 75526\n73489 86893\n18105 60352\n2650 59893\n48109 67563\n38970 95952\n54715 74931\n20630 80889\n4663 7038\n67535 91737\n23514 48396\n38457 45694\n25720 59413\n3150 62091\n30319 69923\n57364 76240\n72880 78954\n8769 21190\n60550 98319\n35227 51425\n52602 54825\n45190 70554\n10183 61281\n58234 99323\n25408 76399\n50727 62632\n63444 97884\n67294 84511\n29864 96364\n37279 55002\n16063 30627\n72094 75464\n40626 62344\n948 74431\n66020 91061\n31347 44969\n37434 43720\n28715 91724\n2927 9840\n13776 76639\n21909 89074\n3662 96905\n5782 85853\n176 15279\n76587 89471\n63971 68886\n36673 72136\n46422 63995\n47349 56525\n38820 68492\n22914 88272\n45505 63930\n55303 68740\n34075 73905\n19150 36857\n60274 93854\n48612 64403\n48048 82680\n58512 94608\n11045 80715\n7964 64474\n34622 79035\n30822 84234\n19937 74337\n7391 17894\n53067 87557\n42870 58310\n16602 28016\n3994 5101\n6625 63568\n3 21439\n10644 57114\n65913 79292\n24082 30433\n53380 74982\n79789 79957\n14 58572\n44621 54060\n28101 44341\n39147 57964\n52476 97831\n1205 69664\n39934 73527\n12492 88939\n15817 28151\n4306 77878\n19655 68671\n24541 64531\n9287 23242\n18310 80522\n2264 16107\n27067 63010\n32263 67916\n58351 60927\n28120 44616\n38687 50141\n9314 10041\n55008 83992\n27306 51946\n22562 57558\n13937 26361\n70800 79062\n9587 23613\n30597 87948\n12532 50082\n28030 94125\n31990 49662\n52410 78406\n6013 74509\n42264 46394\n49565 71933\n20374 33461\n49463 67985\n2611 73927\n889 23391\n20780 96008\n89161 91588\n1560 7760\n26467 64014\n26847 34250\n13194 86072\n123 25755\n5900 42181\n54740 70646\n25813 63092\n8211 22922\n33565 92711\n76476 89870\n49518 94669\n59144 68860\n28698 51396\n29581 99408\n89658 91210\n56888 88778\n22514 64167\n82229 97842\n46501 51762\n20337 78457\n68248 72740\n48881 82854\n2371 32689\n60292 93836\n7176 7775\n59090 63293\n48097 79348\n11487 20824\n10905 96175\n53649 61329\n16526 88742\n71391 89473\n51233 59237\n7815 41754\n40078 45642\n31195 34729\n81990 90879\n30806 99792\n45566 62419\n4877 5800\n45785 88212\n59111 71550\n67284 69168\n56909 58667\n1559 78066\n61192 72023\n63905 65314\n20227 57741\n67255 96628\n8102 49478\n1920 39867\n20330 29473\n28958 47498\n56423 62135\n91183 99118\n47023 74430\n3069 37027\n41729 93158\n15769 67666\n41115 90157\n4059 10888\n11031 28842\n88036 97862\n6977 41393\n7589 77524\n63920 75600\n11195 41667\n25522 33519\n31415 85914\n71206 98951\n21486 83970\n92971 93381\n4231 16088\n20359 84014\n43432 69266\n6509 24352\n45740 55764\n12800 18946\n50973 64982\n5404 38777\n29008 29985\n19862 21781\n643 5193\n53897 78189\n56494 56941\n39769 65259\n48954 99756\n37583 70048\n37935 92249\n19516 81992\n63344 64012\n65517 70975\n11011 43896\n6621 79960\n15866 30506\n38027 48056\n46050 86535\n7494 27300\n51080 65379\n19057 94799\n4564 24893\n53790 74628\n59162 65103\n55980 98055\n34792 75238\n16216 24037\n30174 88537\n58376 88586\n12710 91225\n26824 35700\n89154 92330\n57476 96250\n21713 32537\n35742 50373\n23752 27044\n76734 90734\n5093 28349\n51941 77755\n21279 40000\n37755 92644\n45099 62733\n40825 97763\n53988 55490\n16001 86627\n10789 19605\n10070 91241\n1007 25391\n25841 60996\n21310 44056\n4294 76833\n37586 54158\n70634 90635\n4037 7803\n31269 79823\n12255 20511\n39932 80274\n30344 58297\n93911 99051\n14796 66302\n72491 83241\n49410 55190\n67636 87792\n500 61129\n34972 68810\n72154 97696\n45025 50315\n5213 64616\n73789 92027\n26575 32073\n19442 51515\n26585 70369\n45998 94559\n22124 53146\n13645 55608\n25097 96151\n49543 98885\n27992 31644\n55933 57428\n12068 66015\n6872 80678\n4755 51995\n55942 96789\n32640 57990\n79445 95049\n96948 97716\n1395 39816\n68462 90617\n19550 45650\n82355 99569\n36708 55761\n18120 30069\n33268 99312\n57809 97151\n588 23670\n26608 83621\n12970 32079\n2347 96219\n36850 98371\n67044 85195\n30453 58590\n72533 73640\n14895 59741\n73669 91468\n34248 83897\n30053 88008\n44646 97067\n56284 69238\n51134 77487\n12637 73687\n57215 64553\n68427 69995\n26641 89814\n14331 73564\n1373 54351\n2606 38966\n1323 48720\n26567 38515\n10394 79137\n50420 72335\n26267 33012\n28225 64602\n33526 74487\n14997 50600\n20164 56491\n24322 94394\n76723 95096\n5767 64233\n36059 66221\n66069 90457\n43111 43445\n14257 69517\n26843 35418\n3049 69614\n17829 40927\n40444 73390\n8343 46886\n36775 68161\n46466 95880\n61235 98150\n21164 54739\n56379 57590\n90737 95216\n35821 72611\n4360 10790\n78454 92252\n34680 54108\n75917 81667\n37274 80544\n66371 68131\n39781 66744\n14900 53363\n22071 67034\n23154 68502\n59653 96167\n24048 42176\n6007 50785\n21248 49462\n61906 87927\n32160 41169\n6170 72199\n54946 73896\n78838 81458\n59645 89384\n6173 38420\n14889 37237\n41179 93616\n24240 25216\n6509 22998\n57232 89964\n8765 94224\n31298 31858\n9781 88886\n91533 97184\n52040 80926\n14264 28580\n39668 89622\n36095 82633\n5664 28713\n51296 67335\n33011 56176\n38945 70065\n66091 77936\n10309 34038\n16174 19761\n21939 40040\n28145 59021\n13452 63788\n44720 59590\n6702 84188\n54671 86417\n71817 77116\n74624 92215\n15809 33186\n35354 69350\n16355 55393\n41315 79087\n33016 33385\n41444 42265\n24460 36626\n22916 35307\n7927 34002\n15677 87840\n6933 61965\n24855 35760\n48254 88081\n32492 48662\n45714 64593\n48667 53468\n42326 47972\n48924 64165\n4050 22383\n10547 19616\n5837 47390\n57800 99970\n61098 62534\n22233 60821\n29628 58021\n25443 98298\n38733 83214\n16319 53555\n26794 94965\n6835 47923\n6688 56420\n29074 85398\n30620 70630\n55488 78053\n72337 72969\n20646 79244\n19753 64659\n6708 36688\n35428 91831\n53923 91059\n13716 43053\n14331 18156\n75926 76235\n60512 94331\n49129 71107\n14956 15472\n37151 44013\n14107 84411\n61969 96327\n34196 86495\n10645 22458\n57555 64990\n44349 51519\n91858 92306\n61947 85989\n15483 35103\n23654 96723\n18739 60679\n2660 68152\n49655 73555\n36537 69226\n12504 54308\n36226 46487\n38174 73978\n65047 97809\n33533 79902\n60803 83138\n16196 98043\n17347 94743\n5034 77589\n91310 98727\n4367 66456\n11918 97412\n29992 96355\n69006 69323\n9684 10485\n38611 48980\n94033 99588\n31113 47363\n42352 44820\n68079 83402\n38686 41393\n38907 48248\n90389 95801\n43389 58784\n10741 54292\n63 49781\n63787 77544\n21703 46449\n56385 58485\n71533 75800\n5342 13686\n14196 28408\n8733 40119\n20299 56727\n34846 49162\n14048 74968\n2189 76105\n14686 53476\n62854 95682\n21942 51282\n51768 81958\n54819 99747\n66424 67582\n44371 89932\n8703 56472\n61595 73598\n84229 99495\n17663 76776\n24589 74900\n59590 80031\n4854 80978\n7950 57209\n6014 53187\n3097 78419\n2516 85775\n39206 41345\n64713 81845\n28123 93985\n35034 55174\n1138 72039\n5907 46479\n20470 95779\n15152 51534\n31975 60890\n40197 52010\n40962 96686\n29253 53753\n63705 95853\n73831 85997\n91781 92132\n18680 77127\n44013 82595\n90659 94330\n23456 75205\n56096 73655\n9515 97021\n35252 58853\n13765 82106\n173 12980\n57539 62016\n12302 47885\n8775 47438\n20749 38813\n20436 98409\n10308 12894\n25754 58352\n35831 49203\n23315 38969\n40473 58804\n27667 50522\n25889 64125\n64527 90487\n46752 82921\n48080 52574\n59119 88653\n12481 29329\n28791 49464\n32028 82955\n3396 16688\n51967 94294\n91499 92516\n26143 90990\n33596 86355\n3145 21932\n3550 18613\n38112 92001\n45181 63917\n25310 93887\n28889 78814\n21835 39266\n20614 35095\n23503 72243\n17326 59564\n9561 65430\n3409 10463\n37622 47398\n27064 37232\n62163 72338\n40828 91346\n43395 90531\n41502 65057\n70442 80705\n3806 90653\n44265 85809\n55930 83428\n30870 93741\n33524 62558\n68858 74988\n51452 53266\n7676 60528\n16422 94028\n61663 63484\n19320 73619\n41527 93572\n63037 90560\n9709 21771\n36187 61164\n60180 77137\n40582 99761\n42127 53017\n66589 67514\n25003 42157\n29985 90676\n10943 61066\n28778 99729\n3533 91522\n12918 61480\n32945 65171\n24753 88896\n39398 73878\n17804 95769\n20213 97175\n8130 51510\n30144 43824\n37891 55949\n6245 25276\n29014 42311\n26966 73431\n28538 89401\n45471 66689\n23680 45697\n28642 63556\n4219 90023\n51189 75880\n20909 60908\n3094 38262\n22672 47035\n35058 90796\n30512 58354\n83574 86871\n15078 69359\n71976 95368\n14842 27871\n34689 55458\n1103 67046\n4161 36293\n89136 93969\n2169 65801\n42786 99278\n29754 35938\n49012 99375\n14000 30701\n17977 85067\n76126 98777\n5696 10720\n4429 76062\n33489 88489\n42712 52354\n46625 63417\n4682 73562\n21053 43825\n40967 78310\n13194 13949\n14114 54672\n20825 25201\n29421 94807\n79718 88602\n12286 18760\n47849 88879\n2831 42761\n59796 96423\n65070 86520\n39807 52659\n37488 76092\n84211 94233\n34517 37611\n50233 77684\n57826 59484\n69465 95387\n16819 52043\n30656 63583\n34921 50625\n60106 98628\n31408 61634\n73532 76874\n37916 82421\n29868 80870\n6108 65027\n31157 71209\n87925 88581\n60291 68128\n10242 16847\n7228 58510\n9097 11670\n60751 65682\n32166 64029\n35744 39698\n12769 85113\n10147 10974\n36647 94425\n31769 86953\n54313 87522\n50050 74046\n53943 81671\n18829 49578\n17636 73291\n20754 56091\n16890 91701\n4966 35867\n4306 83168\n25188 48819\n5648 15421\n13324 76296\n86593 95635\n82373 84546\n49901 90273\n1120 50744\n10046 90800\n39183 52320\n34741 93387\n31451 86318\n31399 97754\n82673 84040\n5062 85712\n60542 95597\n49027 56555\n14740 63764\n79957 91261\n23113 44415\n918 30811\n52297 96173\n57852 75766\n42980 52183\n38100 75524\n41905 54037\n3620 83014\n9044 25009\n16475 22294\n36411 67838\n1161 92858\n24181 39983\n73290 75427\n25966 88236\n53309 74701\n93186 98368\n51594 81327\n24400 30938\n52162 63808\n90887 95536\n39599 74473\n49414 96215\n9741 68565\n6015 10467\n10345 82138\n92780 99917\n59547 94964\n7847 25569\n38582 48706\n55389 91644\n6025 64021\n62603 80526\n59509 76761\n67092 97833\n44099 67741\n19845 45903\n59961 97871\n38556 56734\n35660 49475\n12255 53975\n40294 97130\n68478 90000\n63381 81913\n54198 94479\n83971 89939\n56075 63342\n10152 43856\n54032 70451\n6610 89932\n56986 79809\n17341 66601\n4233 68395\n18766 55467\n9221 15734\n30663 36398\n52891 65368\n1997 98529\n85809 97981\n27776 76433\n13633 70089\n16743 48867\n3707 28474\n2912 37319\n20339 55075\n23318 52837\n74218 90046\n6718 85133\n5615 17308\n46772 88378\n8111 77509\n79213 85062\n17031 58832\n36039 75673\n66870 88065\n22146 42803\n20773 57386\n71748 97566\n45858 46476\n17621 47055\n7110 18492\n44492 87181\n41096 78657\n17929 19009\n79188 99773\n27650 65801\n12594 17634\n11351 95899\n17280 20816\n14724 85164\n38154 90087\n51619 63738\n17837 96530\n8780 47738\n21285 71819\n22793 45985\n13059 28468\n12692 65787\n25299 57227\n13578 96402\n470 21890\n4950 48344\n58972 75790\n58918 93328\n71813 91459\n6786 93745\n41149 97771\n19195 29066\n8078 28143\n11798 29837\n16911 27525\n10307 13119\n8930 38772\n47956 91357\n23906 31235\n40650 92782\n22552 52091\n1489 80934\n3681 23549\n17775 79381\n52480 68565\n58847 90732\n12566 72217\n27258 80103\n1483 38955\n15472 88895\n66484 92660\n28496 44601\n66118 76589\n17213 57367\n40653 74364\n42806 65279\n45188 69192\n22869 86020\n45545 89752\n24777 59111\n20168 21109\n1204 68520\n19704 24710\n87820 92814\n8519 16076\n26855 68260\n41768 68513\n82059 92823\n68917 90230\n50193 91089\n13563 87816\n34600 52257\n2900 90722\n65029 72700\n24316 40959\n14428 66033\n7399 37730\n90498 90816\n16416 23917\n14291 21274\n15789 65794\n12468 71050\n48074 75492\n31034 68288\n10929 55913\n56704 87836\n47674 95699\n62873 67967\n63542 75191\n48035 86691\n29988 35537\n72193 77588\n2556 94565\n838 49054\n11093 12435\n25373 52023\n47974 96452\n35706 87043\n36240 92061\n6398 81871\n6683 24041\n61694 70168\n37476 79883\n27734 67924\n24026 57874\n18108 35324\n79155 81065\n53389 62585\n7535 45400\n73219 84464\n38039 48950\n22249 84142\n19079 87556\n6903 95267\n2570 52389\n31004 42286\n7992 9814\n80219 88390\n2187 38591\n4508 88653\n37015 41235\n36365 76876\n37835 42356\n44892 62138\n67084 71662\n20112 23634\n36661 74827\n6736 92538\n12417 26351\n32001 56090\n28311 71630\n3756 33599\n33249 83932\n56394 65241\n9691 43484\n20581 35274\n26807 93336\n19872 22221\n37111 39695\n41970 99284\n63742 90344\n22850 29083\n13932 66825\n421 32300\n14781 22423\n19607 98552\n57263 80189\n43622 43917\n12188 51780\n26675 40275\n50206 83798\n8746 77792\n30948 61807\n57056 58919\n20053 36485\n6386 91582\n77828 82688\n82466 93109\n67934 76666\n4903 86044\n21101 63523\n56775 75998\n54831 83306\n539 80145\n36035 95793\n63552 70239\n50206 52214\n48893 77151\n7529 21104\n46559 88327\n16442 23344\n25767 29127\n75353 90251\n61375 71474\n25532 31345\n38932 76708\n67804 90905\n2574 58314\n46415 87083\n88493 93069\n64490 70301\n21629 37145\n8623 81552\n15379 36098\n30913 50496\n16517 46923\n25718 85105\n32831 64529\n6348 57735\n25365 80572\n33795 92932\n6507 19164\n19389 79394\n29199 69022\n49193 57899\n16563 96593\n21307 94470\n18160 21769\n223 19786\n7856 32105\n11987 59287\n25215 32056\n20855 25876\n54155 78904\n86151 93123\n92761 97893\n16034 58262\n45245 97690\n10111 17362\n16246 49302\n79182 91799\n4527 58450\n16576 30312\n2536 38403\n67106 86680\n36283 57913\n12762 83516\n35456 64643\n36360 69872\n34953 39362\n11092 77089\n6217 78422\n30898 88485\n19007 89959\n66707 94942\n151 74793\n14280 43648\n12890 39922\n33041 68442\n78079 80052\n75948 94361\n4750 55281\n46910 94031\n28081 31638\n43620 66730\n2868 87316\n13522 66040\n4530 56881\n23647 66255\n7245 36538\n58925 71013\n34164 46756\n29935 71464\n40605 99270\n5421 8890\n88846 90391\n71914 77365\n59611 62521\n3466 41748\n6720 41574\n13121 14643\n19885 66445\n66696 92395\n41499 95640\n49833 81078\n28147 85506\n48991 80778\n48169 97662\n56733 74058\n47345 71784\n28734 37860\n527 73205\n10212 66957\n52473 54199\n13620 68856\n63143 84035\n64370 91671\n225 59926\n41561 67833\n47043 72652\n50770 98261\n44237 88521\n5588 62238\n26864 50198\n16276 71381\n4422 63626\n85120 99142\n40497 74100\n37029 98965\n19966 31866\n9648 86286\n8921 92238\n35793 52030\n67861 94317\n75285 89194\n26032 36412\n38913 64685\n520 72371\n9413 50105\n31336 79513\n14391 48552\n72148 79430\n84572 89071\n2708 98820\n30612 71084\n19537 32568\n2356 82359\n69315 88196\n36681 99307\n18809 91225\n10775 28270\n31826 35842\n30259 63487\n57458 91631\n61353 99825\n21432 64801\n33130 87422\n43578 89265\n59530 64709\n15671 93360\n23191 70803\n39053 60749\n17619 91689\n714 17334\n48721 98973\n68003 76279\n9301 28998\n39486 67348\n71111 79316\n23964 64631\n35183 65865\n27173 45148\n1681 83402\n62703 87979\n6754 64892\n15582 53462\n7577 94730\n18746 97541\n21905 38284\n36980 40503\n41773 82483\n17162 91434\n46519 97967\n2650 10403\n31624 48352\n1511 40554\n51735 80817\n25426 52351\n5259 27894\n31914 58227\n51291 92285\n29127 86235\n43798 84322\n66608 82932\n2874 65444\n8501 46603\n10159 53925\n93840 96240\n15876 34997\n70760 73790\n14071 78849\n18358 19324\n37159 56971\n61023 90691\n52547 83160\n47325 48387\n6276 85350\n12991 41652\n9124 66242\n15736 36189\n24613 84570\n38957 45044\n34567 95288\n62693 65525\n1808 29261\n48002 71728\n41318 63567\n75169 97136\n42195 77984\n20598 73479\n33881 34377\n49847 51499\n8359 55655\n12057 45953\n6621 94064\n26766 78087\n7304 11308\n52047 88623\n6773 38278\n69831 80548\n19208 28789\n34447 79880\n17262 65492\n1637 74052\n2196 60580\n21826 54768\n24387 41694\n7907 71341\n62706 67673\n6759 40110\n44955 78155\n1046 61347\n2136 97185\n8488 50726\n7570 77807\n90148 97864\n11689 31597\n60496 90883\n221 86796\n82312 90433\n62373 98551\n59458 79272\n23903 78712\n4886 8111\n652 5642\n36313 82376\n16696 43368\n74317 84917\n9007 28059\n24573 74908\n78286 84334\n1737 8057\n46923 89248\n22002 40327\n26447 67454\n12007 35610\n29494 56530\n14977 82090\n2023 48242\n41353 96030\n5355 85077\n61102 85375\n29649 54515\n73761 75291\n71358 73885\n13490 61865\n975 59658\n72417 84270\n27452 74201\n3103 93852\n16234 22136\n59363 75774\n50412 88363\n22942 28538\n23147 70221\n7898 16905\n74446 97019\n76399 97470\n16125 97268\n46283 75870\n22529 95259\n5463 41357\n41746 42758\n71514 92991\n9047 9807\n23806 63802\n23291 61947\n33346 77477\n73356 94822\n6940 60183\n68669 69382\n5735 49970\n46050 55076\n46803 55110\n19723 35070\n23695 99476\n26100 70686\n31334 46898\n81925 95069\n62950 78479\n13350 85285\n81563 97256\n47357 97591\n69321 74806\n53072 54101\n30154 72421\n3968 98113\n8264 52923\n1520 3650\n27162 61273\n40416 43088\n21047 58550\n23228 69256\n35283 82087\n21504 93303\n173 99128\n38822 94881\n12429 87260\n14597 85057\n11507 45818\n28517 99728\n9368 74031\n64455 69605\n40188 98532\n15272 33212\n47390 86618\n4888 93480\n96622 98146\n56706 87339\n3271 29891\n1000 98006\n21329 56514\n70574 75012\n5166 28592\n14812 95089\n56246 75188\n33364 44255\n54434 82722\n46646 81811\n11068 81638\n20891 23491\n20308 76563\n21929 72242\n8224 70348\n3870 21438\n8100 43044\n38981 59558\n1158 38326\n73829 96846\n21311 24639\n25461 56039\n9024 54778\n7336 37315\n33627 48242\n87328 93070\n23014 51361\n68885 97193\n5745 54924\n22146 44277\n28149 39369\n13052 96659\n3194 15037\n54534 67560\n16867 67674\n32213 79610\n7734 84552\n35806 37831\n38908 58797\n7956 90575\n38722 41599\n63605 82288\n52871 80968\n10621 55304\n52303 93573\n73785 90112\n50879 51732\n44904 54476\n6456 48863\n43451 81820\n44174 90542\n1572 40299\n639 24502\n83197 84655\n18360 51730\n43260 53870\n2500 52206\n26890 87134\n40238 78829\n5099 62698\n41295 80894\n8429 92330\n42528 57651\n15173 90536\n29420 48034\n11148 73627\n35124 79139\n19598 20965\n24544 57849\n18607 37784\n29758 70362\n49896 78131\n24151 84246\n32323 90020\n4469 68977\n30177 83246\n38522 44008\n51792 86485\n60929 89272\n18854 73038\n24525 79773\n61395 62922\n67405 70765\n17017 96252\n42324 50859\n48487 68966\n14355 52531\n29876 68413\n21334 45309\n30581 93153\n61902 70008\n32414 33892\n31250 72109\n13012 83246\n24636 26998\n48507 73133\n28986 43610\n8071 19107\n19519 98405\n8594 23372\n8336 51485\n68831 93673\n9618 47225\n70180 84240\n56913 58742\n45362 82163\n10780 98778\n52818 78676\n86932 88483\n93005 97609\n68816 73254\n32931 60196\n57488 74829\n40765 74514\n35199 72321\n20253 39346\n36247 51389\n10335 29607\n86915 99618\n35968 77787\n13820 51733\n7881 81340\n40586 76547\n63080 75387\n14184 34501\n46864 71092\n83 54531\n12122 93593\n38536 99627\n31112 57271\n6011 36013\n16179 72977\n47416 64955\n43159 57578\n12832 63745\n6295 81433\n44214 57991\n25598 83827\n96355 99551\n29658 73648\n11109 92955\n6183 99645\n12116 26021\n28003 56940\n18726 43867\n62343 75164\n20614 99273\n36469 39451\n15006 18517\n21754 60244\n44810 69746\n16941 38648\n6721 36379\n29687 81317\n53882 76039\n19870 69918\n10270 13120\n18448 87955\n12197 12356\n11928 73044\n6634 74800\n15944 82234\n60437 95328\n24238 33676\n1334 77477\n43580 89943\n28456 59422\n28814 90797\n9818 68035\n40594 77977\n16904 53316\n37757 98367\n26101 63243\n23057 87264\n26870 68882\n52922 93963\n84659 86842\n13087 51648\n93160 97405\n45336 55303\n83437 99834\n40334 58237\n43659 95141\n15944 72207\n38857 84234\n25671 74819\n15949 61634\n9421 19356\n15110 23807\n14759 39713\n32821 85435\n54970 92858\n33056 95546\n79431 83994\n69256 93875\n18907 96825\n31477 65733\n85487 91096\n53425 78326\n75403 93362\n73279 79279\n44513 63143\n25007 30087\n76847 97032\n50594 94646\n57535 78207\n11253 44295\n29496 52955\n30425 39785\n27897 39705\n22006 42218\n48082 85167\n62302 91864\n40389 68256\n17991 94037\n7856 92929\n34735 47522\n71103 94319\n54272 90425\n2867 29492\n10374 88851\n174 21776\n63883 66468\n89490 96065\n58907 81209\n12899 47908\n20642 46956\n466 47299\n77893 85601\n20073 44895\n24565 88034\n76624 96695\n79297 99159\n76476 92671\n69138 83691\n22376 42817\n1940 14094\n41485 64972\n55710 76027\n35417 85258\n36624 69819\n37873 46877\n72722 86815\n61328 88114\n41176 53209\n1341 67857\n39555 53942\n49036 92847\n3291 61942\n23419 52969\n48952 94005\n28172 72328\n23449 79887\n82888 98557\n11868 72600\n15893 65451\n62022 73687\n66248 81907\n26049 46886\n42812 74536\n96178 98793\n45412 48315\n607 5455\n14148 74455\n3170 19729\n888 60568\n30717 88210\n11851 67479\n53847 97871\n16521 31320\n53871 71035\n70390 76032\n48211 62265\n22248 59624\n6681 26413\n57152 62622\n27658 35666\n26662 85400\n9639 45974\n9261 58209\n62859 84707\n6525 38317\n49301 63357\n12663 21604\n12368 77359\n3890 17326\n16171 44811\n43338 99483\n23916 46301\n58658 79312\n7251 92000\n1712 58352\n4160 69890\n38817 91061\n7857 16158\n16873 39004\n16534 28463\n22967 58948\n22713 37388\n7096 73056\n11198 30602\n72115 76316\n43138 91124\n25632 59937\n18473 82290\n57307 79755\n30264 64369\n13850 96856\n42246 78506\n71950 90616\n21185 53363\n46019 57499\n31854 97143\n24352 33363\n1221 80421\n63057 76348\n50910 69258\n27923 63177\n76451 96401\n7398 58694\n71841 81748\n24743 34893\n4405 41606\n86926 89508\n1515 7658\n79914 95543\n73941 86103\n78322 95480\n67364 73542\n31960 94304\n21977 68747\n53383 95733\n32881 44476\n21713 74764\n34346 63363\n86550 99269\n49005 66816\n45210 90556\n11114 39051\n64652 70012\n29614 68538\n9508 77759\n10425 90974\n41747 57555\n57188 57539\n5709 98469\n7507 70408\n16642 46059\n264 84627\n16202 61856\n20415 70895\n18029 29386\n24216 38800\n13098 50150\n31766 41806\n77816 79830\n20883 29536\n31989 61711\n68919 69658\n16502 82085\n64487 85819\n15829 76296\n39807 44441\n9915 62717\n20041 62420\n39186 45846\n8522 25419\n52510 85541\n73450 80806\n18376 65788\n17871 47021\n33601 77956\n31347 32849\n8293 27359\n61647 85884\n6765 72504\n31905 46759\n5166 81417\n11728 69042\n33049 70519\n51479 61342\n93808 97267\n32704 40053\n49897 72324\n61801 68124\n11430 73516\n10729 46817\n45719 91288\n42364 45980\n42314 44561\n34117 56898\n53346 94570\n22551 27903\n61249 79594\n32719 51329\n6044 80517\n54384 70716\n7093 78593\n30955 94228\n25051 72897\n32416 36939\n58409 89428\n33009 40829\n38345 65426\n35789 51433\n15075 52432\n56037 86804\n2828 98127\n5898 42187\n42919 89272\n37627 67757\n15814 81521\n89121 93507\n439 80601\n62140 73611\n65525 80580\n29198 46087\n26615 31592\n65348 74327\n6248 19027\n61502 95631\n43993 83557\n9246 22218\n38369 88666\n76564 87291\n28645 44496\n17958 25629\n24061 85766\n38425 48273\n19685 26588\n31341 58851\n220 8276\n59251 88840\n46409 82919\n27793 56858\n38199 74418\n64072 72774\n3031 69665\n7004 69700\n62895 87084\n23967 51810\n25555 26493\n9706 84957\n54287 54488\n51602 88932\n59226 59819\n63915 78610\n50234 61805\n75712 93876\n41839 61529\n59951 79139\n3293 56825\n45039 51012\n66844 80800\n23482 64276\n68315 93837\n6985 20689\n23510 86188\n9768 47281\n22666 41340\n19481 80975\n34628 97969\n28257 52605\n76583 84412\n77389 79626\n19933 23686\n28132 47947\n11643 56904\n15389 27075\n60304 62991\n33721 79936\n844 88528\n17957 23296\n69765 79918\n16587 35276\n67622 82982\n76933 98880\n74832 82622\n47826 89804\n31363 78508\n72528 80261\n37529 97272\n59774 60468\n70561 78976\n56469 62851\n55586 70523\n30111 87304\n11091 89628\n16772 49651\n11970 91870\n33002 63750\n34174 49892\n43578 75538\n22078 64079\n62379 81985\n45139 76027\n14120 67416\n17935 80107\n44766 66063\n4649 89691\n29620 34911\n28358 89472\n8120 63962\n27927 34293\n14105 35396\n20234 58991\n55490 76314\n66078 94110\n4350 9179\n42094 90905\n32586 72056\n5788 75942\n12292 54884\n48298 50740\n74855 75514\n1960 34307\n38065 44018\n24169 80412\n4049 53719\n60718 87042\n59067 82567\n10687 16311\n49957 99714\n4410 49605\n11740 63732\n4850 17157\n89759 98843\n43269 67840\n38082 92117\n3282 92390\n28926 31925\n52986 55736\n24212 27580\n58310 61567\n22477 22584\n21448 30978\n13550 19478\n4215 29633\n47190 95539\n21283 47934\n3483 15088\n9183 52096\n63375 83286\n10217 19718\n62176 99817\n63903 92339\n7393 91546\n2618 87571\n5582 86054\n14673 79543\n73283 84016\n3810 98878\n1630 99168\n44270 59264\n86431 89981\n39538 53620\n19299 86555\n32794 45447\n435 25424\n68884 86374\n73125 73163\n25871 33153\n23420 94673\n13614 32007\n71164 96975\n23763 92724\n49187 58663\n42823 57838\n62451 63066\n13679 48817\n28042 62202\n20463 62879\n26026 80254\n44795 51307\n60748 73744\n8178 26821\n15593 56147\n5706 62420\n2287 15995\n53900 75188\n22610 94138\n16618 97293\n2998 52003\n39007 51866\n35490 91216\n48465 96783\n32545 53820\n20329 22991\n48554 64343\n7516 76031\n57826 59843\n9808 70544\n76302 96681\n15131 41599\n42490 61589\n1361 12245\n19762 43779\n18276 92289\n62913 78202\n8241 86838\n21345 50377\n35346 57022\n39839 93597\n9552 19125\n36929 66546\n48086 53094\n30919 77548\n29091 47013\n26663 91417\n35712 95959\n16735 24407\n20140 79932\n24751 51654\n58217 77904\n6460 46220\n9968 45136\n6849 92542\n16104 29951\n61600 97879\n80575 91770\n50239 86634\n14456 51703\n41749 45946\n23722 96212\n51752 54635\n6700 21460\n1928 70294\n30617 48419\n34956 57456\n73430 79530\n32818 38897\n35427 88255\n33780 81555\n9095 97008\n14595 36482\n69150 79603\n31683 55150\n12999 14398\n15743 56900\n27017 70853\n639 20110\n43742 68220\n46497 78148\n54208 60735\n18382 67509\n29333 45300\n34128 40383\n20210 45090\n4688 26802\n34217 41627\n83444 85829\n38710 56692\n33419 49846\n5833 89158\n23638 96180\n15953 88919\n17401 40626\n3912 7837\n19144 81913\n24753 53867\n83156 88136\n56790 77917\n28774 59622\n52042 61329\n8041 97549\n54404 78613\n1019 24369\n35606 39047\n33930 39503\n43612 57832\n40320 78565\n29506 54784\n24199 32699\n18446 38224\n13990 90487\n19498 93077\n44891 51671\n19348 72070\n75246 98567\n62978 68488\n29512 60530\n7620 15414\n34248 98638\n80167 96100\n61913 97399\n24046 26922\n57305 64657\n61418 83221\n68828 93507\n61176 92186\n45670 67545\n1833 4126\n31962 36207\n38364 46351\n77102 83189\n40933 69034\n23766 35823\n10140 79866\n11783 74629\n26597 57434\n40073 42633\n41444 91914\n25627 25952\n12271 28871\n35447 82719\n18386 27500\n11158 98738\n30011 40002\n44437 71405\n35118 94754\n37634 71968\n27000 66105\n29379 54902\n10537 89090\n18029 65116\n62264 84684\n21252 44656\n40408 82081\n49977 86947\n11391 77524\n2652 49201\n8163 20108\n21103 53016\n59457 66073\n35697 55724\n17032 89896\n33142 37980\n24169 94462\n13435 33026\n69016 79115\n26373 27367\n54863 93166\n12807 27451\n58780 60010\n65304 79479\n18431 94678\n41914 73923\n30908 44239\n22426 61786\n28790 94332\n7890 93503\n11533 77194\n29735 43891\n40933 60690\n2536 5026\n22952 28417\n61526 62236\n427 50018\n41885 87316\n71199 98873\n16840 68646\n14596 80455\n40783 80178\n32554 51523\n32413 95417\n34831 36740\n18715 50741\n29743 96519\n52919 87919\n28430 63341\n62925 71325\n27820 85336\n7121 18636\n45337 94860\n12820 80843\n10886 43627\n28701 36998\n75797 96944\n57483 69568\n757 66191\n65596 91539\n30787 42166\n32141 70064\n9353 79647\n64505 89204\n32505 82048\n57524 96090\n442 44143\n51467 57915\n2106 39046\n24572 31119\n48234 54284\n12432 55506\n37484 86559\n31185 87896\n50937 88653\n81884 99320\n87785 92204\n69742 99479\n50844 71207\n12798 70588\n12157 40205\n99330 99883\n22791 54112\n37651 62167\n5946 28708\n26148 68183\n5991 43905\n27587 56356\n24657 98041\n70617 78656\n16003 17420\n18134 77778\n30076 75083\n54293 94589\n38747 40801\n46541 56063\n25738 39294\n31461 79782\n3021 90102\n67990 98567\n21632 45259\n42886 96018\n54610 94129\n47081 85984\n8890 54260\n56978 68917\n12879 34344\n16379 69261\n50160 65571\n26870 53170\n82695 98369\n15984 22880\n6340 84460\n49448 84581\n17471 86311\n40844 99967\n10718 74714\n17036 74853\n43991 67741\n51425 54088\n11615 96229\n64907 84581\n60935 76121\n14922 60514\n51846 54163\n35802 80085\n15119 19122\n9117 38963\n36190 42732\n80067 94367\n15088 80155\n8406 51293\n8238 91703\n30649 70863\n30122 60713\n69675 81330\n46676 57198\n81381 82088\n11495 42207\n12246 63705\n4668 14292\n2017 51772\n7130 77718\n42095 46669\n8154 51876\n59399 91234\n71099 90832\n74588 94471\n23463 28879\n15461 88416\n20349 93156\n3932 14636\n2072 16373\n26927 91611\n49414 88320\n32100 94306\n52747 93551\n13768 33828\n66772 72899\n53943 77810\n33493 54960\n37238 96855\n32406 36091\n3304 10439\n3229 18945\n43748 66775\n24249 95205\n8218 76321\n90832 92091\n7749 80031\n16400 63101\n34266 72479\n32269 43957\n47268 67765\n40336 64974\n35293 51558\n59411 94124\n54602 79770\n10477 66839\n23500 86914\n45200 76451\n36644 97720\n36603 86315\n12535 49373\n51395 93424\n13643 29953\n35488 69919\n12740 42012\n36308 81873\n30 17724\n35052 76804\n39529 63138\n19636 46042\n15494 57714\n60637 99723\n11845 14372\n32580 38570\n50633 92904\n8071 66172\n47625 99277\n24138 41737\n62040 79101\n15534 70877\n54272 67367\n46131 84223\n",
        "output": "343\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 98,
        "task_id": 541,
        "test_case_id": 31,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 100000\n39039 45713\n36321 66646\n43196 83009\n18951 92859\n9554 76692\n94505 99582\n12896 83426\n77749 79862\n21002 30445\n10287 28848\n5403 65586\n13948 48815\n36517 41908\n13205 30101\n40977 52189\n52306 60002\n5134 81576\n40974 72098\n10679 20083\n71188 85550\n90106 98917\n63718 96777\n36732 61569\n32192 36314\n85995 95013\n55212 63764\n33342 75768\n8523 92439\n12536 59110\n30551 99454\n77210 95154\n26390 34654\n10621 87663\n39410 53853\n25859 98193\n43174 48467\n17068 80691\n69383 84448\n1365 89055\n33525 67381\n6917 72737\n9952 92373\n92 28275\n72297 92955\n18920 54592\n3189 33014\n790 99671\n18335 39024\n21101 65823\n90476 96251\n149 6854\n67358 95522\n4585 81183\n28964 71187\n13431 96196\n5559 6627\n4771 46837\n48588 77437\n23644 77145\n24409 66448\n8406 33402\n54401 94975\n51443 64236\n69105 93021\n93204 98321\n37337 62685\n16933 81407\n20670 47633\n41259 71044\n19238 79815\n2513 4904\n31266 71493\n43090 68868\n17901 67435\n30028 53693\n32350 81631\n25316 75678\n66945 69145\n28698 76027\n48208 86112\n32928 52806\n75981 93250\n30579 90897\n46528 55153\n54021 59026\n12934 83838\n9242 10977\n29079 44690\n95013 95273\n89877 91668\n15751 77888\n39655 79521\n21911 91628\n9961 72846\n50477 92846\n64314 77483\n11475 59648\n10237 35535\n22934 82564\n37096 39706\n18117 18986\n33229 60164\n67455 72696\n27163 91668\n34820 78096\n38714 88478\n36927 77898\n48730 63519\n2532 63826\n3186 54018\n45243 87052\n28994 76617\n33522 59506\n35726 53301\n24719 59828\n9240 82495\n57248 91691\n47117 51301\n67704 73698\n17936 95180\n2408 86148\n38358 77750\n43612 68318\n28313 63254\n11486 89293\n7018 60746\n15825 51438\n4089 33926\n28415 39127\n9944 15105\n73518 79337\n5243 23255\n425 49294\n20083 62182\n9523 86126\n76460 78457\n30654 53064\n10085 37091\n50920 91852\n45994 69875\n40862 97755\n69432 87273\n39055 63485\n23474 32372\n12837 33178\n12394 26919\n11797 76453\n16702 74947\n86500 91068\n41867 78356\n61931 62002\n41122 47005\n74133 81009\n42205 98185\n69530 87419\n71349 92210\n36615 89254\n13264 86606\n46719 79886\n16136 69578\n26835 86503\n39587 95698\n8390 77626\n25884 87215\n165 6098\n9864 12072\n14408 30857\n23552 48697\n24057 62043\n18756 91202\n65714 98961\n63484 88091\n1367 5037\n62582 74564\n9749 32524\n5250 70003\n4904 21509\n64874 72491\n47131 90615\n41816 95475\n34614 81940\n5449 60069\n54039 79069\n13934 21269\n50901 56953\n22874 72814\n43593 97857\n20047 48981\n35697 74805\n37674 44401\n40295 96023\n21451 62711\n1435 71795\n29680 35261\n56176 59849\n20587 57314\n12368 47199\n36346 57286\n68138 93108\n56941 73682\n63967 72891\n69797 71067\n46832 65249\n19921 31481\n21138 22002\n30292 64997\n29123 64975\n51509 52206\n35370 76885\n33676 43165\n31153 32539\n3131 66280\n3133 13470\n2686 32771\n26995 42702\n31798 92430\n28230 99202\n48769 57467\n58729 62395\n83387 89855\n19019 21183\n14461 34451\n45278 47876\n17941 54617\n74459 96159\n40743 81534\n69317 74628\n14090 56510\n43931 66667\n46546 66204\n46229 97314\n47964 77374\n46422 56319\n46171 91654\n18644 67391\n20749 79841\n20542 39218\n50888 59906\n22265 90949\n32040 44912\n64257 74038\n54234 63976\n11915 83786\n63089 90881\n37323 61952\n45639 95784\n48395 73983\n9985 24752\n50911 64073\n14173 66711\n14159 81939\n3888 59893\n6191 59256\n54092 63254\n3472 12306\n4620 6138\n1572 40028\n50161 86709\n61323 76484\n21018 99879\n40036 50266\n46205 73728\n21938 79361\n41533 78726\n47337 88603\n40479 75100\n64365 82549\n2995 63041\n16741 67581\n2805 44894\n56457 67555\n2243 38866\n12446 62616\n42863 54089\n20753 81955\n16987 45575\n9433 71102\n38647 87996\n63337 82843\n73603 80469\n44195 97965\n13357 72003\n17629 67923\n4094 88097\n4044 66477\n47120 67834\n42596 79689\n49711 53602\n40928 85023\n7747 84500\n2229 85083\n12050 86426\n24188 49050\n4851 45494\n9414 52984\n1587 53470\n67049 77323\n44915 49924\n17621 55106\n448 96366\n4152 92876\n44728 46143\n5916 7641\n46132 69844\n26367 35250\n57938 93315\n16893 21544\n37803 73938\n39764 41426\n40472 87291\n27246 61698\n6308 65223\n56723 93504\n18889 73362\n27382 75934\n59252 73017\n41122 52163\n8054 39960\n48777 76108\n24780 88817\n28368 90261\n5362 33147\n54596 68540\n8792 37334\n49560 93295\n44814 82523\n59892 75533\n12127 74569\n1809 49958\n36340 90325\n54068 91828\n1451 52399\n76299 92011\n38311 90662\n19695 20852\n58857 98193\n21557 77815\n1914 6623\n3636 92538\n24873 52225\n54213 85630\n9482 82753\n51515 88261\n76574 82548\n11259 50151\n52781 84848\n26562 92375\n39032 92584\n37234 61685\n38947 50107\n26948 80270\n7769 32397\n34061 99953\n2741 88463\n30939 43059\n22344 66696\n18102 34717\n76927 89244\n19778 81904\n26546 38783\n4850 60882\n34580 78261\n24842 30384\n65802 85916\n7693 69341\n17757 74642\n63806 66138\n42131 85550\n31257 89648\n30569 51409\n42250 53703\n2657 70153\n29471 95081\n16340 75729\n17526 21770\n38848 71566\n2179 42392\n13387 52891\n54085 60489\n58858 84360\n12082 50543\n78272 95600\n50515 63700\n1192 46074\n6609 61970\n44349 83385\n1291 80375\n27390 80699\n95209 98217\n15063 61174\n63299 90227\n89979 91643\n21448 66887\n48075 85328\n3348 82536\n4961 59267\n2727 8121\n8779 31052\n14890 68897\n42810 61333\n63620 70246\n3003 77008\n4758 45948\n3476 44241\n25856 72655\n66881 68747\n80276 94148\n2033 78690\n26244 51093\n39783 43669\n13844 96546\n56837 98996\n36676 45157\n47893 99852\n20884 36781\n33124 33562\n77961 99160\n21315 69287\n7839 12507\n5960 66463\n38313 51450\n2721 66521\n42054 55672\n47455 76821\n21955 72772\n5978 30956\n37804 86319\n58294 96947\n37407 83682\n18993 92997\n25592 33038\n34103 55217\n32493 97418\n53186 62841\n3212 11652\n30157 83340\n47916 63395\n14526 73404\n47004 72408\n53898 98519\n26829 56209\n3206 37181\n99479 99919\n29759 32560\n33378 44352\n75450 77591\n8215 36204\n85184 94606\n41671 74891\n32425 32632\n11913 47193\n11778 21435\n50383 88368\n32971 82440\n2420 43120\n29866 55320\n24858 83779\n71778 92925\n28693 62894\n66128 86509\n20819 40448\n38961 62023\n21222 36214\n20351 94903\n17721 75472\n72182 86720\n81075 93124\n63184 98361\n66047 77614\n21475 44395\n26848 66518\n21182 68824\n16125 32636\n44490 88626\n69440 84150\n41230 41810\n33046 87517\n3562 57548\n20221 55576\n7027 36161\n5054 73752\n6013 77077\n19169 80974\n47915 94987\n11508 97382\n24299 99747\n8870 10360\n25533 97387\n16249 72420\n17166 81485\n65851 79482\n37054 46241\n24206 64532\n70437 80307\n54091 95445\n2857 41400\n15486 90098\n2752 18569\n62667 68292\n10953 39445\n63084 85395\n23873 55103\n39085 95987\n23742 96990\n19535 39940\n12897 26565\n29996 51339\n31527 79682\n54164 56131\n21568 25707\n53607 99220\n48793 75761\n33683 96379\n41152 78562\n15753 62362\n13465 26453\n751 93225\n36140 63399\n9801 28514\n38641 83365\n1710 86497\n42575 61213\n68470 80235\n57780 66259\n49341 83446\n13558 32253\n26933 53997\n10366 39999\n56099 60785\n892 76854\n29951 75900\n126 45134\n8814 32105\n45609 95058\n31848 45380\n31953 35098\n68757 97245\n74351 93615\n48687 94641\n80982 91435\n9492 65266\n36337 80565\n2692 83745\n38943 64231\n29404 73717\n12977 66019\n53632 63194\n95907 98099\n52218 70394\n50734 56057\n6743 29066\n23165 94149\n15044 86882\n954 48424\n25741 79685\n4571 44965\n41236 81006\n21135 32055\n5259 85781\n59670 98455\n59151 60553\n57520 91076\n45765 65732\n28635 30690\n3027 64961\n21967 44078\n50568 70825\n11136 31078\n10792 43577\n5483 44161\n54460 60613\n40678 64911\n12901 95491\n20758 71168\n5521 48395\n23974 91227\n49329 96342\n27955 66244\n1945 21864\n20602 52350\n16269 99165\n42449 58943\n25269 46311\n19451 95846\n79441 81288\n32829 49024\n89028 98901\n10920 40378\n2919 98126\n73084 75802\n69652 75133\n48053 97242\n58312 77002\n34376 34615\n32146 34486\n14990 65326\n87484 90776\n4790 96088\n20193 86476\n40134 92141\n30808 56298\n7666 10904\n31511 89423\n53561 83385\n47370 61021\n29235 75607\n74716 99362\n42262 90526\n12678 54958\n10471 73343\n86959 87026\n7208 26531\n29214 49293\n27860 57616\n15372 27558\n19695 94122\n62901 66065\n62495 94695\n11668 54682\n39852 60807\n48241 50688\n50568 50607\n410 12975\n46857 52076\n14732 96587\n55179 91639\n56221 99183\n8731 43282\n29341 81997\n61 90839\n526 52841\n45181 65576\n1059 78893\n31565 85531\n41127 67193\n67029 82471\n49555 54707\n11348 61578\n39056 90416\n22315 52351\n3748 37587\n28902 56067\n29485 90741\n27828 45379\n36970 52272\n5977 78195\n75168 87293\n14434 73151\n36036 83533\n12645 38038\n13 78507\n64327 71621\n6406 33147\n55953 75396\n569 70321\n73081 87220\n34388 56591\n35753 50101\n16963 64758\n36774 94318\n60729 80052\n25911 58032\n22155 55143\n34093 68959\n88576 97967\n18450 40785\n74615 89967\n37554 66220\n48578 95051\n19598 19988\n941 52974\n93854 98816\n13747 84260\n16375 35470\n2487 36693\n31845 84608\n52842 90132\n4633 87660\n20267 66319\n15674 46806\n26227 41868\n17536 70217\n6906 83588\n49867 93247\n12812 87853\n78501 99845\n69626 79845\n58474 58761\n6206 80337\n2133 59346\n59948 87182\n30129 77051\n1298 95273\n9191 50032\n26157 60334\n9488 82138\n67952 69593\n51083 97717\n63028 73678\n10742 55985\n8519 85889\n6067 57494\n56018 71103\n8189 93068\n62416 74314\n26417 28973\n3447 37972\n30203 69763\n47668 70990\n2336 93886\n41167 95791\n8193 68895\n36321 62781\n14924 79604\n61596 66152\n44088 71730\n52655 53762\n10152 72520\n28905 48784\n71663 84337\n38030 46027\n20043 97689\n27851 28866\n1858 53212\n80616 88627\n13192 59020\n24153 94953\n57909 91588\n88944 99104\n25967 80985\n23052 23859\n28034 32414\n10733 36643\n69375 84327\n10536 62517\n28372 38920\n6475 72079\n53401 57182\n4179 99382\n21878 62019\n32089 88230\n9317 84755\n61960 69696\n61998 67838\n78144 78883\n79609 99116\n54201 77477\n5172 55578\n73774 90751\n42557 93320\n13278 71614\n65535 85589\n18155 65025\n28774 35375\n30533 78377\n18425 82376\n34203 87487\n30102 87937\n26336 75783\n20118 82755\n14308 69333\n7009 11012\n52513 83526\n19248 99517\n16712 36986\n77101 84955\n11743 20235\n14331 36018\n55026 97792\n18165 23509\n53309 87143\n27535 79122\n47485 82670\n68682 79984\n48249 73190\n62230 68018\n10357 62852\n19765 22377\n58435 70627\n40653 70640\n8169 36798\n28810 31617\n37602 77123\n25775 60275\n71160 90830\n43108 74022\n37348 46189\n57525 65326\n3778 74991\n60443 86511\n7664 60981\n53599 53849\n17293 74530\n15252 50112\n59414 83907\n36077 77587\n52473 67069\n23541 69567\n32533 98857\n11962 64379\n9638 61226\n28397 95130\n87599 88936\n11390 66551\n13996 86948\n67394 70211\n42670 54079\n35640 40837\n27466 79122\n236 11068\n59088 76356\n89676 94176\n49578 82911\n13708 31596\n2663 76739\n33481 49844\n40201 71481\n19151 21395\n23020 39672\n26223 60298\n30646 82275\n10813 56224\n23495 31030\n31955 92067\n72293 77814\n57650 95812\n21034 98262\n83751 94891\n89516 97026\n52511 78283\n32584 58889\n23813 75537\n18321 39100\n61456 76978\n71118 95660\n41083 57655\n73685 78386\n59151 80148\n57164 63386\n50462 99948\n78182 98236\n24680 82590\n40794 51940\n16100 68227\n64042 80808\n20135 87092\n17481 48973\n23100 60566\n72496 95684\n6804 29272\n23666 45243\n10777 99811\n39532 65828\n66930 85868\n58925 95648\n24100 71382\n34475 42316\n7278 16131\n14251 53862\n27029 32201\n46218 83084\n35613 92798\n54958 98616\n54897 99671\n28855 71465\n22344 79754\n24131 50448\n24427 83606\n26980 49754\n18501 46604\n80120 92323\n22094 93010\n525 27649\n13557 97708\n1965 60048\n5578 86510\n21972 72292\n14668 67233\n2508 45554\n9894 70233\n29048 60309\n20751 58727\n73156 76510\n3027 34994\n59188 59681\n66050 94565\n65736 94670\n1890 98911\n45637 59455\n48135 70432\n19596 84936\n6469 36149\n20646 29801\n352 65566\n69435 72115\n44677 67671\n46053 67612\n6667 54546\n14952 88179\n10439 36125\n47524 73930\n10102 21338\n54773 59185\n5088 65610\n49627 72098\n45538 62253\n19191 88650\n20553 50372\n21086 90381\n74900 92534\n79572 97445\n36219 42545\n13315 95102\n7851 84309\n25173 53433\n64589 91752\n28675 36986\n7961 89366\n58411 92421\n52196 71338\n54893 82825\n35860 47766\n70844 71010\n30260 66756\n18540 75868\n37390 98017\n35616 41457\n6635 48405\n41866 87924\n44196 74362\n54895 81288\n21059 92064\n86636 89194\n22423 37458\n13692 19655\n41256 82632\n2564 83105\n8221 82892\n16433 86620\n32706 75083\n19235 47105\n13971 88993\n76290 77496\n4716 94791\n78233 81190\n35769 49949\n48350 67195\n28021 46713\n20424 81868\n1549 77718\n17199 73235\n71707 82434\n25423 61194\n22318 64399\n45780 64931\n92824 94670\n17516 97019\n24155 41188\n42152 72561\n33812 94386\n15880 24583\n22474 91139\n32781 36623\n42634 71750\n14147 71540\n5621 24376\n49727 56289\n45005 54780\n8506 98173\n73098 85126\n19382 82868\n11264 47343\n16961 82195\n45508 78559\n43109 80268\n75376 80601\n16168 41726\n19882 86753\n65653 86449\n41016 92117\n51440 92141\n4798 10813\n47939 59492\n13958 84542\n44844 81129\n6266 15590\n511 8281\n37606 72890\n13533 39300\n42021 43552\n15961 85553\n57459 67979\n72340 87212\n50678 51524\n29721 65792\n12835 22960\n40607 44894\n937 75858\n55929 63945\n59404 92555\n49139 56939\n78065 98120\n42371 81550\n68082 73786\n81415 91331\n44093 98614\n1471 91364\n40594 91505\n11592 42695\n52219 71978\n75351 83472\n62427 75088\n29603 97448\n19378 66382\n32086 90124\n22952 25223\n19379 83508\n45971 74288\n34119 43460\n1509 89188\n84857 93273\n49294 98690\n25315 78263\n21682 59582\n67659 84048\n9563 28542\n32362 78093\n351 33833\n12185 95844\n14057 54821\n17294 30101\n14508 89936\n10810 67612\n43338 52730\n62971 99614\n12759 92063\n10004 92445\n32875 41897\n1362 7557\n51690 87599\n23469 68905\n75335 92768\n41624 51652\n53877 86034\n6496 60528\n54459 58904\n84071 94823\n11969 84360\n26520 47055\n33014 41422\n27158 35770\n21091 80335\n59335 85917\n63465 75865\n11965 25997\n23242 72670\n17348 37245\n5175 10867\n58997 86026\n26760 67961\n15338 93352\n4192 23609\n16076 96132\n13815 43670\n7616 68983\n56593 76315\n1033 77920\n68608 88941\n32017 60570\n25928 26850\n38595 61146\n21723 33480\n58542 82159\n31394 50200\n38621 88974\n16968 91434\n16397 41330\n31668 90611\n44390 49942\n31663 43200\n43708 99253\n66880 81075\n7134 88143\n73451 82458\n51791 94237\n18873 90069\n22539 32479\n9034 11748\n36110 85222\n37132 99515\n28078 42064\n19653 34739\n31379 53761\n22816 53461\n18375 30036\n14814 30900\n13869 50235\n13654 72379\n29749 92940\n42135 87682\n24310 78145\n48244 58663\n14792 38216\n43567 61867\n6016 45429\n35608 64046\n14559 54613\n14606 35135\n34331 62838\n76785 91902\n52988 95550\n44600 98334\n5843 12153\n62001 64057\n2453 63282\n9421 91238\n34613 44435\n26523 29578\n59847 84892\n17065 26704\n33813 62313\n18997 98975\n31336 99816\n47347 48899\n19358 89209\n5952 65683\n11943 98274\n51093 54302\n16922 24629\n37743 54315\n21987 84235\n86249 86571\n25195 34930\n41282 77231\n56068 77062\n36289 98063\n23162 91065\n35952 64582\n60241 98058\n16123 97938\n6799 34361\n42179 78443\n17056 74952\n39031 80498\n14405 45075\n2484 96331\n52134 61742\n35231 73140\n71564 93007\n10753 58120\n33739 61584\n35805 86671\n60538 95373\n3404 36979\n5678 81701\n13603 48601\n47521 81476\n44710 98463\n15688 16612\n35881 73453\n11216 31776\n3304 80219\n40329 98527\n41464 59553\n92672 93691\n17913 40745\n64484 86804\n15253 42867\n6523 12067\n37181 40020\n15780 75947\n41724 90181\n43989 52168\n6409 7140\n22475 76492\n4707 74630\n34850 71408\n27425 79569\n41283 65131\n53167 82951\n2520 35378\n15290 51159\n49529 50544\n7584 34810\n23224 65288\n20142 46321\n2557 95492\n2465 65105\n77052 89417\n1948 44264\n71876 80461\n5564 28797\n56430 74632\n49558 51674\n42254 71981\n25797 66654\n71161 99842\n39558 96778\n42999 52479\n946 7491\n48291 55656\n9339 50559\n31988 66365\n25892 77223\n8699 35905\n7373 82582\n95364 98930\n74075 94273\n25769 32797\n57174 98609\n2032 91336\n33506 57057\n15455 22824\n34000 92488\n28729 34830\n50355 93006\n72255 81898\n23215 86377\n22046 28828\n30276 95342\n34190 60667\n10680 52068\n66862 86772\n20996 22001\n3653 15532\n21419 23701\n2476 38629\n26043 61675\n4057 61276\n7407 19970\n75409 91072\n47058 63668\n84971 94056\n37156 97346\n51632 64016\n12302 54459\n15289 34643\n71499 99376\n24522 41241\n7468 26709\n19823 34971\n81173 87807\n29642 46755\n42554 59479\n51828 81551\n30328 49624\n47181 90381\n14827 18097\n18195 47542\n5801 6396\n70113 90336\n16296 80460\n2347 75037\n15207 28137\n6578 76168\n25601 64378\n11305 93953\n14727 52918\n12126 66028\n42181 96688\n72288 75241\n21700 81473\n70228 70344\n32602 76579\n73110 79109\n39706 81798\n62979 73803\n55466 91785\n12545 49496\n30328 95830\n1363 92917\n16004 94505\n62295 69358\n74150 90594\n3871 81760\n2823 5000\n19425 20757\n44425 60257\n16296 88135\n30586 49999\n6393 50327\n4250 40507\n20671 48936\n14206 51330\n27512 68008\n13513 64619\n18624 30603\n5313 38979\n30657 73592\n19118 81561\n39967 84330\n10396 72405\n2442 42471\n13962 53645\n18422 57476\n20283 34376\n7871 67932\n47609 90025\n49791 89047\n67524 76450\n42385 47696\n9769 25293\n11269 37510\n16560 81950\n7766 22355\n58923 67851\n8429 93092\n10544 19505\n60780 77528\n10151 82423\n36084 65669\n1659 18382\n31504 85880\n46303 67136\n51517 57499\n16117 67468\n42025 70850\n4044 46590\n4152 4474\n64578 80592\n12318 44054\n28636 67165\n60962 89859\n26422 30452\n27312 72667\n33645 42616\n66075 83269\n48770 98900\n37293 91712\n16909 64638\n7046 31530\n88603 91608\n1285 36782\n18554 29591\n17527 63078\n18739 58010\n19161 99222\n41709 78409\n53230 79346\n11769 35487\n45256 96393\n62127 63607\n69776 94953\n1975 38298\n17069 59781\n5859 56001\n26421 49267\n33107 59370\n47256 77360\n21034 73959\n41752 82133\n45178 76360\n45161 54539\n27108 88705\n18735 20491\n24119 65085\n4353 37325\n47192 69711\n47340 99549\n50968 76683\n54105 61221\n36396 77010\n1418 37500\n41404 68343\n46255 65232\n2966 33704\n5741 72005\n65921 81219\n4867 57855\n17901 72903\n46434 76890\n9290 60295\n64060 65269\n11716 66920\n63010 70694\n42978 57406\n48258 51283\n40778 64529\n12819 91260\n29132 73767\n12078 68974\n6282 21300\n51294 61321\n38600 76121\n11603 42237\n39443 82740\n11878 78161\n65285 85897\n33126 58594\n80979 92114\n3402 46963\n62604 77461\n9198 21214\n23620 57150\n17454 67642\n87851 92638\n44917 80898\n6682 24941\n7042 90064\n30941 65514\n8555 20976\n31414 78413\n3867 24690\n8123 16155\n21525 46342\n11327 67706\n21485 95717\n4795 14196\n48315 82347\n26098 73745\n31428 53037\n76449 77942\n7866 53311\n12729 52091\n63972 89670\n10652 99868\n31613 83133\n49040 88919\n3969 7912\n57477 77041\n19973 33910\n17267 47281\n71986 90188\n45096 65580\n23536 48704\n13324 54636\n46935 95277\n44975 55342\n43771 75004\n35614 67402\n10328 21618\n43109 69033\n40762 42651\n5459 83980\n62679 68039\n34847 84026\n40128 64863\n45733 84603\n26856 59354\n50450 66669\n60560 76220\n20260 79327\n41772 62503\n15671 79886\n21533 25978\n23345 45302\n56872 67812\n19818 31095\n1572 79128\n41581 79181\n6081 70193\n42210 46985\n4059 44186\n70974 87710\n5498 26105\n52533 68276\n53890 67619\n12055 56284\n11448 17169\n31268 92214\n9461 13985\n22092 68014\n63330 94947\n74538 77795\n33031 85750\n30627 85423\n10034 45217\n72918 72962\n5866 90013\n35975 73883\n217 67851\n51141 60079\n26210 27852\n60380 73163\n40825 45142\n20598 95471\n65470 73277\n65631 91366\n56088 86413\n48263 77956\n23772 98593\n25212 49730\n13970 98614\n543 42156\n35959 58949\n41765 75537\n17639 18108\n19793 91631\n1566 7345\n6282 81370\n35774 63697\n10428 38316\n2533 25113\n17843 35942\n81379 92372\n28154 89231\n55430 73525\n56263 69221\n18633 86184\n80077 90469\n3166 7967\n60864 98813\n62657 95978\n65607 75678\n33830 99303\n72675 76612\n53180 72776\n36112 40389\n15782 37709\n68951 74248\n7643 25083\n7337 42004\n13264 81766\n13787 34336\n19338 84111\n9965 69576\n72815 75775\n14083 83658\n58954 76686\n34195 69781\n80210 97275\n26035 58705\n89819 94471\n5717 8054\n6643 16818\n20521 94260\n45765 58923\n60603 77720\n10352 49240\n10033 85753\n66214 75808\n10421 45971\n5164 98064\n80793 83344\n4972 83338\n33719 84680\n13834 94821\n35283 37991\n46371 64424\n13664 72359\n41586 86721\n13616 91498\n43154 85639\n34277 56100\n28833 64510\n29106 95696\n64007 73797\n45338 73357\n19999 89852\n25733 74631\n69783 72377\n29051 60956\n4634 47150\n6249 49710\n15031 42084\n60380 88158\n7072 51432\n6545 8281\n30649 71148\n79377 89548\n24873 84168\n614 48819\n17517 28639\n55333 80107\n469 4501\n41321 66828\n1751 55747\n1487 73950\n21381 56505\n79897 98544\n45007 92136\n28425 33777\n98889 99183\n3581 80753\n3595 28646\n34090 74320\n3380 91739\n75571 93886\n7119 28533\n17285 53697\n1321 77369\n9508 34612\n5089 8809\n61372 70080\n6673 49928\n85250 94212\n23292 40848\n60203 76819\n25975 38771\n21391 81701\n25985 39044\n43042 55306\n64180 86645\n35350 85658\n9326 59834\n23431 25433\n25488 96834\n42030 81819\n9137 72867\n90966 96806\n25217 94825\n25247 55708\n48222 49679\n31546 36604\n17859 43837\n10082 90743\n12827 13149\n4749 6678\n45382 66009\n16140 23525\n31522 59762\n17583 77983\n43559 58934\n57024 60928\n73108 86657\n83717 97996\n79982 91334\n2073 27194\n52292 57832\n65899 95852\n29773 79135\n15907 27892\n53549 84945\n24998 95592\n43878 78104\n3892 90849\n26626 30329\n49957 87173\n40300 65908\n63532 77552\n32610 44668\n8796 31308\n61672 82424\n27916 46828\n20674 35157\n9037 40490\n73782 93233\n70725 85722\n17922 86816\n9685 45871\n46195 94535\n20911 20938\n30123 75445\n47271 56900\n36449 37936\n27772 67279\n313 93423\n43263 57963\n23345 59602\n45598 48682\n39232 68838\n56117 65318\n16763 90596\n16364 62605\n4068 91382\n32491 70030\n9825 67988\n12974 30314\n14192 56049\n20403 79028\n2202 86565\n12845 72270\n17000 92166\n4060 58352\n33672 33695\n11360 39994\n9679 18556\n76650 92468\n33507 50983\n68985 76079\n46806 58313\n28952 78188\n19468 91568\n42409 59135\n69679 93439\n1712 32726\n69650 93746\n67049 85396\n29948 70216\n51971 96142\n56604 96704\n27480 41439\n13624 58844\n67110 83410\n28262 57873\n30740 70712\n24850 60295\n28548 42386\n54062 81494\n18859 98729\n5560 9054\n7890 43597\n25051 31119\n63611 97430\n83041 97510\n43920 44289\n9444 97943\n72203 96513\n13249 36615\n8349 64926\n10002 60988\n60260 98726\n22055 88361\n3204 98817\n41194 57033\n7312 58320\n68897 92100\n49809 70115\n54218 55218\n2647 11246\n35800 45430\n27879 43391\n49835 90803\n36235 87014\n42036 69925\n56764 69857\n348 87324\n2916 38145\n46343 52015\n72163 96798\n15387 41094\n57018 88773\n11471 43717\n1253 55817\n3153 90047\n14052 64355\n63795 97138\n27798 67639\n44502 54125\n19342 79954\n4539 82042\n3490 52374\n2881 88613\n63021 78436\n51804 53948\n2651 67581\n87507 99626\n57106 77964\n56026 82803\n33494 47431\n53177 78371\n35015 58420\n36637 87456\n43631 86361\n72177 94125\n622 16436\n46429 74374\n21263 23596\n30469 83628\n69031 87882\n9271 25986\n74798 95941\n74610 85294\n15477 72023\n50264 89018\n17320 18068\n31289 35953\n32293 89248\n53561 97144\n22790 30674\n14572 26519\n95065 97374\n594 55027\n17376 38235\n31085 50380\n2472 7005\n92260 92644\n60168 89859\n16027 26135\n75814 96467\n28949 29874\n16633 46480\n5147 99774\n62081 85563\n38543 48430\n18094 18385\n55654 84276\n2100 6668\n12145 51796\n16780 31682\n77299 77904\n24961 46781\n28691 73592\n34215 52528\n10636 98421\n22185 52866\n25613 58123\n57150 66501\n10596 54714\n24074 65363\n53818 86457\n33121 59313\n53920 65456\n54590 58294\n37203 65539\n54174 79155\n19953 89792\n56697 82663\n45490 66458\n87572 92972\n13356 31253\n12926 55186\n40342 75779\n67373 92538\n33938 80612\n21611 90484\n44688 67274\n8933 23373\n47046 97810\n19139 81105\n37692 90827\n66317 95442\n36608 38757\n23377 30807\n20526 38340\n56662 91059\n57190 84572\n22316 23847\n43570 57540\n34494 68548\n15391 49181\n31750 45033\n42650 64621\n8194 96101\n3183 57764\n46520 55707\n43595 94140\n34471 85298\n55911 91760\n8057 39590\n49173 67037\n16321 98477\n75683 84932\n69167 77201\n3455 83741\n8043 34273\n38638 59649\n14972 84006\n1836 26463\n12986 67634\n8098 96072\n19129 64206\n57240 79260\n51170 67308\n55691 91432\n19708 82519\n2680 9083\n67543 85057\n57351 67484\n58952 98347\n33644 66372\n40155 44971\n5370 26892\n25970 33882\n23493 99136\n16350 16817\n18625 52527\n29837 34022\n21989 97259\n27306 96290\n635 78955\n4795 29467\n6294 39161\n26215 41152\n1895 70214\n3614 68055\n8455 92951\n8256 13055\n23498 34467\n7749 60853\n26219 64523\n10447 43735\n19601 63786\n22598 65160\n59886 94050\n82150 83088\n30962 56324\n12894 52797\n25064 87927\n22962 89482\n44582 63628\n71008 77966\n33666 50539\n4262 26385\n5552 5563\n32920 58317\n54802 77009\n34469 53769\n27010 35141\n60806 67268\n33905 96150\n17998 57439\n14933 89589\n66654 91577\n34925 49757\n18169 66598\n36776 52818\n58115 63931\n2958 99218\n22355 42968\n25088 74710\n54438 81335\n57173 73165\n34401 93874\n6023 19592\n42547 61366\n40924 61501\n46633 72576\n42634 70444\n86347 93219\n60172 82704\n47753 69143\n33151 38465\n19826 85457\n57841 62975\n20972 88427\n55835 94085\n2375 44788\n19594 64314\n3320 21290\n22749 66406\n29601 46128\n8644 12809\n51449 76167\n59773 92033\n3801 10712\n18962 26800\n50982 61517\n22184 43534\n2828 14952\n40306 47291\n35797 72149\n26930 28428\n58183 79065\n41154 47455\n28932 40198\n65305 83731\n12933 88816\n61535 79817\n875 65010\n37193 70235\n14213 65351\n3614 14904\n37485 72720\n78734 94772\n84960 94463\n38495 47779\n18669 86774\n49392 80982\n17372 31331\n41725 47990\n53933 79738\n33324 41012\n14269 58929\n79773 96722\n24474 74860\n33023 70983\n42022 92234\n5427 96773\n7007 19178\n50645 53075\n8802 19434\n13896 78933\n12753 38182\n39203 87460\n46323 66940\n14150 26654\n70860 97186\n19819 80556\n24756 73122\n43649 95244\n7356 29592\n78377 92818\n74620 82340\n19208 96822\n23621 95637\n16853 16885\n59896 96189\n1417 28618\n6452 26608\n38657 55338\n86213 95764\n24327 52446\n13038 67474\n79988 80062\n28760 30002\n20564 48360\n58020 59931\n47307 98778\n48371 66351\n18193 20794\n54967 90912\n52054 67337\n85194 94790\n18789 35341\n49396 80996\n28945 67086\n3854 38500\n36016 41355\n59572 64504\n3430 20055\n1031 28614\n27235 56528\n46387 76490\n36074 73181\n2148 45183\n21386 39630\n79985 92805\n35026 79082\n5319 39975\n80333 85606\n10349 36071\n54173 90299\n49034 73416\n25159 92103\n17205 43777\n7347 33661\n62051 70764\n8818 97007\n2057 30427\n943 61313\n22288 45205\n20918 40231\n7728 22959\n24156 60866\n32789 54179\n69966 89158\n8377 20398\n10705 18798\n13590 41600\n76523 87001\n23522 66656\n32494 85787\n42969 71085\n62311 84938\n53341 80989\n29312 65108\n41526 44355\n22282 85688\n22406 39611\n36521 74642\n58069 61799\n32583 94652\n45469 52308\n41826 90821\n2688 55228\n60761 70422\n18322 63576\n22543 48719\n17351 83046\n8085 91666\n1254 56159\n30551 84424\n32977 95505\n80155 80313\n46553 70434\n7648 96692\n21607 33100\n6568 96565\n4639 58047\n10710 32992\n15460 68683\n6529 97426\n48812 56770\n2258 70197\n33130 37759\n31871 42497\n80943 87057\n61719 67276\n73222 95839\n41564 58755\n34976 47821\n38763 96428\n78055 92454\n3430 53664\n23325 71070\n43347 49870\n48062 76420\n32048 84894\n32795 84091\n6360 93276\n47211 92794\n33207 47463\n34018 59771\n48879 95067\n4082 81630\n58772 75995\n10862 71042\n18252 52954\n2054 75842\n560 14006\n55193 72671\n25966 44453\n5790 66076\n2878 48812\n60294 81976\n22432 56931\n32704 75961\n11074 88859\n36392 62575\n36743 75708\n21598 68406\n24913 25678\n21881 48588\n723 48726\n74375 84338\n22090 36145\n4553 18411\n14726 99977\n38314 91533\n48402 97754\n26937 87376\n60138 81416\n27993 82678\n54761 74413\n13547 68445\n20256 50463\n29728 61598\n4767 55553\n13976 74041\n83977 95750\n56213 57430\n9266 29798\n20713 47178\n58788 80294\n79280 98909\n56720 66362\n36845 98748\n49371 84022\n30417 53988\n55182 98686\n23753 65191\n6904 55639\n44861 73670\n27155 68586\n26187 29548\n970 96684\n62900 71673\n30305 67920\n25796 68699\n83935 98978\n64832 70162\n54490 89365\n2305 6415\n10162 81165\n120 93477\n31315 64107\n33301 49723\n29340 39561\n54046 60319\n24616 68099\n9309 51531\n13091 47597\n12049 96803\n9233 90056\n53179 86135\n28246 50619\n9149 50965\n8464 49560\n12169 53598\n26044 37042\n87854 93589\n43222 71529\n7285 58659\n31907 73337\n8344 97635\n44437 65571\n57184 64895\n28760 98667\n54705 64576\n17667 73968\n9647 88031\n12947 36132\n68923 78023\n52737 80123\n29422 54163\n16888 33600\n16665 22848\n2552 82844\n81917 82902\n5904 32831\n37654 48291\n4279 5835\n56649 59926\n15367 72631\n33727 91881\n21570 77782\n20440 85378\n20856 79925\n14434 60291\n27847 33103\n1031 34359\n3103 58478\n51012 97694\n38912 47918\n17104 51740\n56112 77104\n24830 44561\n86073 97740\n58603 65803\n38698 95083\n36142 94649\n13900 61412\n20925 56448\n15600 54796\n38777 69927\n23488 41094\n15055 45099\n14065 94137\n90439 92680\n26821 88508\n81284 89038\n58501 75126\n50650 72388\n64222 68908\n13808 24923\n74510 98701\n34645 61392\n9577 81385\n43306 91955\n52288 65578\n20846 86654\n16773 81318\n15086 17742\n53980 99893\n3697 10673\n36908 48086\n5653 19076\n38493 65948\n17360 66780\n42144 42455\n2105 14388\n31711 71335\n79750 93539\n36255 67330\n44234 51886\n5808 58259\n51115 68907\n64915 91379\n31606 53763\n30919 89791\n2825 49036\n45766 96127\n5458 86661\n18388 20691\n68818 75071\n64051 74774\n27881 39852\n65359 67003\n7167 64411\n45281 79871\n35041 70612\n20753 33819\n38468 40944\n24173 76011\n60810 71196\n22507 22721\n13282 48198\n57430 58545\n8498 60155\n19443 72140\n42849 67456\n39853 82015\n22801 60536\n26382 82578\n60784 94754\n83403 89920\n1487 69589\n23175 42315\n46996 73731\n19124 33239\n3414 40468\n29363 77619\n45160 81813\n11056 62775\n48835 55532\n26623 36775\n83066 91668\n1168 41163\n42115 51512\n29508 47516\n64260 89371\n71035 76243\n30261 39401\n6485 26186\n32955 92780\n29720 94667\n30888 93208\n2847 64683\n49356 55217\n90480 98791\n15739 57950\n81988 95564\n11334 75387\n19737 37375\n23638 79310\n61295 92887\n3618 60195\n41914 70142\n13938 95284\n75530 93407\n5521 63292\n83735 96885\n31965 32795\n2402 96098\n5438 39056\n38897 44489\n27082 56102\n76905 99607\n45156 55759\n13178 69842\n39763 60699\n22289 44358\n7602 64138\n21014 24508\n47035 54933\n2207 79877\n6637 26696\n292 72523\n65993 67222\n38728 89882\n26337 69583\n93105 95108\n73118 85705\n10158 30217\n69580 89840\n3548 95718\n16946 45205\n27619 78467\n47441 86349\n65588 72980\n43292 55378\n50332 55813\n2076 68900\n28587 80341\n31366 55397\n27068 95505\n6884 67521\n19830 54638\n73261 77530\n44223 55953\n55523 60338\n8316 30030\n40401 60220\n46624 86954\n36697 88189\n37084 88225\n35357 58800\n14299 77292\n1930 83785\n48324 49733\n83837 88973\n53613 59689\n29615 97301\n56592 80675\n31827 95892\n46415 56836\n36909 56702\n6393 45240\n47604 70451\n36905 39399\n53715 91744\n51442 58166\n28095 82578\n43218 94327\n33708 43509\n13147 80966\n71430 72728\n8414 26553\n4804 85367\n16899 45843\n4492 73906\n5502 30869\n8695 60383\n80899 92555\n75285 90607\n57724 80563\n33126 60518\n47332 75379\n24042 68179\n33148 50058\n4951 49244\n7522 40718\n57633 86669\n30450 44531\n56795 88463\n18244 58692\n3763 6471\n72313 80800\n40334 64956\n2428 63022\n61890 73308\n60047 68719\n43976 64249\n11340 77950\n37343 79084\n27570 98021\n24263 91287\n20966 42889\n6555 21221\n81741 91595\n24050 67234\n45446 85459\n30199 44094\n2339 9405\n28270 48696\n17922 78348\n78944 97305\n40878 61920\n36754 51439\n63337 86743\n62356 88959\n71976 93578\n33197 75701\n3715 26859\n86548 97522\n69684 75338\n44636 99641\n1091 13432\n5031 70888\n16470 71868\n92276 93390\n51772 69089\n15480 60572\n12856 61011\n42832 98283\n26699 27442\n6620 11357\n12740 48279\n58835 82374\n34032 50663\n6284 76725\n18747 78560\n21098 35443\n57120 85055\n63858 75050\n49967 53729\n18632 87020\n22496 83083\n35411 92425\n8394 61261\n3377 65586\n66950 93362\n55958 99022\n2326 41267\n71457 89381\n65741 78584\n7760 42711\n16111 67733\n65576 95597\n17128 98760\n22989 42072\n58633 87336\n49062 93036\n36024 75348\n25619 92707\n38309 69102\n32866 74933\n49212 74789\n22341 92781\n7439 74939\n65060 86947\n7452 99438\n65033 70459\n11514 72328\n51565 76776\n43425 52058\n22519 82788\n28968 89497\n52323 53401\n90487 91583\n19194 88590\n1408 17062\n3584 45641\n6643 76639\n18383 33934\n44041 89460\n89481 98802\n72560 92528\n24479 68140\n13660 98474\n39813 76307\n33405 74519\n4134 25545\n70375 94037\n56664 78788\n9393 26437\n3403 7432\n12679 77523\n24508 94701\n60303 66819\n29873 92458\n9399 93772\n2441 60835\n31214 43471\n55896 56041\n27308 56896\n15519 56937\n25311 64151\n35720 61940\n39383 66610\n64895 81622\n28908 55598\n9633 38614\n48797 59591\n49313 78053\n17363 34792\n37059 76111\n8389 46594\n86476 95880\n29974 69664\n44384 50608\n7701 13174\n38882 99887\n50525 58570\n25428 58007\n12884 54820\n62345 96680\n41740 92950\n17539 83888\n46619 63147\n16396 20604\n73262 81497\n26523 77287\n6963 84440\n43390 81659\n9433 75150\n38588 44843\n1472 57748\n22376 85225\n47777 90499\n65867 73467\n31980 74516\n58528 72377\n48060 76188\n2225 47245\n68441 86811\n33524 64969\n17212 18933\n4250 13756\n13693 56678\n35676 49040\n13657 33420\n16116 26990\n22029 33072\n38626 94035\n83129 87463\n13358 48471\n31356 63588\n37936 80228\n654 90379\n15290 78590\n72440 73146\n15931 92783\n53887 70686\n16631 91514\n72474 98796\n58011 59490\n19361 67267\n80425 97489\n55896 71143\n71150 93394\n51953 76981\n39286 47871\n30411 31665\n49397 96704\n21532 23620\n19116 28996\n71198 81477\n31604 48770\n12894 20541\n398 24929\n22154 79227\n34182 85769\n2786 19537\n42953 43549\n43354 74054\n55879 56208\n18759 63673\n21494 43571\n47603 53950\n28565 89159\n55381 68657\n41358 62988\n77450 90508\n59499 92185\n74482 77325\n54292 69175\n5903 79210\n48680 90747\n68236 78239\n45922 96253\n91177 97350\n13547 72914\n4129 10200\n92279 95175\n17916 95041\n36435 75164\n1293 20744\n52255 81092\n44229 98666\n14899 89932\n6432 74089\n28412 73602\n76341 88467\n37841 61867\n30236 52605\n50323 61791\n29099 62125\n26197 89454\n20365 30383\n12794 42296\n29258 79739\n36249 99201\n41217 58877\n10901 12648\n84748 96443\n2457 48048\n54498 96640\n29401 31504\n32096 56220\n36136 66943\n34081 83119\n2196 38047\n36489 40306\n26268 85244\n49067 74311\n11294 81951\n24325 52465\n4494 48809\n56788 76129\n71534 93820\n50750 69619\n4722 39187\n45563 71635\n57794 81878\n39509 84346\n5048 65050\n56615 64658\n53131 99658\n7987 34399\n30236 85711\n51758 66647\n68816 87451\n22747 49945\n8361 31154\n56271 64989\n3629 46494\n4562 36807\n49911 78097\n253 53328\n42600 68240\n35528 69195\n41509 96580\n74575 90798\n43439 72346\n66269 86514\n27278 64223\n64347 68857\n5047 93945\n49022 52401\n87242 96610\n1844 93309\n28789 37401\n49352 61853\n24634 48227\n58920 70245\n59606 74561\n65060 67966\n32601 72651\n535 10594\n36209 66857\n6820 39562\n43275 58024\n25669 75273\n49952 82042\n55826 68108\n5405 36283\n3622 90812\n61964 75926\n4551 36036\n3506 50909\n64880 98915\n9510 90938\n25811 86860\n69571 99708\n2835 47905\n37385 71576\n17290 99510\n94692 96724\n64417 76574\n17997 51883\n23586 33419\n66307 80679\n51212 82375\n52793 93354\n26043 98939\n5785 97647\n55262 67829\n13645 21353\n48131 60429\n9809 71084\n483 86219\n3666 79785\n57900 62135\n33409 58081\n56712 73124\n11506 81894\n6076 65986\n3003 76715\n20038 33973\n46936 81024\n72523 84581\n2023 44931\n6511 16916\n22290 67962\n10562 99694\n41966 75079\n28431 84424\n79239 87863\n10702 14961\n60421 94882\n72215 86910\n3537 22752\n16715 51675\n8484 63016\n27856 85314\n26082 47548\n26827 66312\n677 65127\n795 38801\n60366 97220\n14161 15002\n47853 72992\n32014 74456\n559 72881\n79860 93256\n29235 63067\n68945 78807\n47500 65383\n7238 41154\n57024 72785\n23560 45166\n39736 77712\n15593 98579\n23461 81481\n39931 41332\n54117 84456\n8926 94832\n42944 49730\n26163 47700\n17641 47903\n51648 77824\n54298 82821\n25436 74522\n48755 75120\n22813 27577\n28141 85802\n3726 15735\n27835 77950\n89641 99772\n3416 49656\n20543 94417\n25436 69721\n17788 38674\n23323 62399\n4262 16092\n47090 68795\n9650 31465\n33200 81589\n1920 37313\n35185 39970\n53756 59224\n6599 33662\n10917 73687\n39235 39762\n167 63943\n1108 88356\n1213 51819\n31681 54261\n25302 60870\n7972 14195\n44136 47920\n12603 50463\n76996 80924\n19006 95133\n52793 87311\n31169 89793\n84425 94966\n93898 95605\n13124 39850\n52491 94525\n7755 43821\n15737 44181\n64503 76804\n33724 69836\n69359 81364\n13798 21577\n61823 77322\n5960 56892\n73082 85764\n23773 36490\n85032 91217\n73763 84736\n29927 68506\n4010 83732\n75273 96980\n16710 32770\n45854 91125\n35430 85847\n79178 85674\n24818 60628\n56894 68399\n19565 69082\n996 95155\n1450 71915\n15482 90572\n26729 47765\n20753 92697\n22745 41048\n10786 59482\n48247 71141\n2096 97416\n42450 63334\n1959 22244\n40520 83383\n54722 99872\n12276 31827\n31480 69568\n14788 76129\n18575 75371\n4033 47383\n52688 91708\n15844 29614\n10378 95091\n33213 92561\n28411 79635\n15879 39111\n13673 67019\n77522 97946\n66607 96185\n95757 96699\n6662 58414\n7616 63611\n68606 85032\n47839 94292\n27275 89435\n98639 99959\n66158 67307\n51239 93843\n5457 30206\n82487 92341\n65555 92309\n48220 88679\n29141 75005\n63598 87560\n1668 17647\n68354 73188\n17056 50351\n52049 62671\n39497 71930\n36685 94539\n15382 49248\n23354 50762\n5364 44626\n15368 80583\n23890 25858\n50925 54217\n40824 72100\n32099 55215\n18857 50719\n14999 41245\n22716 79940\n10442 38414\n688 40461\n1097 15642\n59798 74245\n7571 8845\n36280 90831\n16188 53809\n14643 84134\n41625 83836\n4578 62292\n5685 93096\n52097 57690\n29759 40467\n4685 78348\n28932 32783\n70149 79248\n9429 95397\n36690 41200\n50522 54384\n63361 92435\n9250 62856\n59692 93668\n46732 69445\n76689 82684\n70719 99109\n17797 98852\n43690 77417\n80260 81991\n43209 65230\n4445 14417\n76339 97203\n10741 75625\n39214 95882\n46818 72275\n57746 59123\n7791 35650\n7872 56281\n60706 94775\n38664 71452\n25092 98003\n15883 85126\n14339 26601\n14245 78139\n44245 76058\n15611 42452\n6308 37255\n27493 67243\n7270 15138\n26026 64588\n22600 80439\n23950 78988\n71652 93855\n16203 84168\n39340 45390\n25534 92587\n8904 64717\n27371 56271\n36265 86421\n25184 64711\n6584 79751\n23074 91305\n59245 87784\n16278 56152\n16282 63368\n14927 74389\n2651 85254\n3210 26905\n88012 88130\n54527 97777\n19795 73352\n46429 52712\n26641 66520\n1192 88626\n72404 84608\n49248 75757\n10741 79483\n58570 82409\n66441 84892\n8111 45396\n42889 73414\n72156 84702\n5408 53492\n24535 84467\n36101 79216\n1520 9082\n23301 51683\n36922 46829\n86868 95327\n28128 57932\n63724 75168\n8210 39082\n59437 64518\n28826 58432\n11310 47169\n74080 99151\n1926 52160\n13048 25505\n86264 95544\n17759 79367\n10108 96442\n7079 8265\n49763 87020\n18563 49300\n25643 82187\n4900 72941\n45092 59584\n18254 74656\n74483 76910\n14984 75175\n15881 28883\n10018 75359\n52472 92347\n12353 94129\n44938 85572\n44954 59985\n51321 92872\n30671 68173\n10114 34883\n22938 61536\n54472 57062\n21176 97557\n17874 28634\n47395 73468\n68398 94769\n43863 98026\n11475 16001\n80712 92105\n1921 87547\n85163 88586\n48432 97371\n63204 83917\n2484 38871\n18006 67101\n10695 35765\n23377 42565\n34845 76026\n17361 89736\n44521 65039\n15804 83582\n13108 28428\n8449 63790\n30256 59827\n76128 80444\n82717 96350\n7049 88604\n86044 96864\n32994 84608\n15806 42037\n32054 42847\n40115 54220\n43441 62544\n58640 76963\n43037 91213\n36744 86103\n51449 95984\n28218 94538\n71399 88153\n32247 47865\n20454 32110\n38051 81603\n4577 80452\n19668 48722\n26236 63758\n46025 56780\n45636 82229\n47649 82082\n75626 88833\n13164 25720\n40945 58917\n30789 50375\n33726 63172\n22358 36370\n67528 73436\n38812 89635\n1757 56523\n69957 81297\n46787 52009\n22019 50151\n17372 29848\n6401 8853\n44937 52645\n4233 53169\n273 41131\n70635 94699\n31927 66103\n61509 73355\n43559 93844\n10183 54582\n48985 70729\n32957 55525\n77590 90791\n82648 87952\n22623 85377\n21349 34652\n98129 99981\n6052 63374\n57015 70367\n68237 79500\n59565 71213\n32264 59994\n77894 91165\n17861 74546\n29755 82383\n7691 46002\n73079 96632\n7006 59189\n54735 59154\n48809 84194\n2644 74837\n61638 76753\n80029 82524\n18578 50887\n42616 57881\n49787 74541\n50905 97733\n8624 42054\n17524 47706\n12049 75383\n3360 27332\n12985 82400\n32797 91055\n17748 43049\n69348 69992\n38900 71203\n53178 70067\n10360 77204\n45424 48449\n54815 78207\n2067 21293\n44299 74566\n20725 91747\n49684 86328\n34408 96312\n5778 84318\n59183 75338\n40648 86242\n28746 63060\n13671 79931\n79165 92705\n40783 66811\n18860 39533\n21483 86516\n71709 98889\n30262 66019\n24520 72094\n53354 56612\n58946 94267\n18987 39652\n70627 98274\n38626 72465\n1408 51848\n23349 48193\n82544 96428\n63856 99648\n84567 91274\n38313 41298\n40597 47941\n36541 72763\n82855 88079\n54452 96574\n4386 62669\n15263 83896\n18961 85339\n16936 53330\n35819 59564\n32485 56654\n50083 76772\n26146 90929\n35889 47276\n90911 93920\n49500 71318\n56635 96365\n15430 18728\n35839 38925\n2098 13061\n6414 59891\n5043 97724\n68651 72914\n17507 56334\n63019 95329\n8875 91277\n32644 41574\n63798 91233\n2809 13850\n1844 71633\n11811 25578\n15756 41485\n44599 51833\n5837 13507\n25838 93946\n56088 75023\n67790 73112\n13260 48779\n10570 98009\n22857 57444\n1288 5857\n62681 94938\n25191 76300\n12068 60147\n9380 14272\n19593 86134\n15256 67617\n44098 47880\n7611 59410\n50101 86850\n267 59359\n17328 37801\n24943 35117\n17985 79107\n51401 88601\n12633 13326\n35282 79656\n47924 65895\n216 54020\n68918 82695\n55658 83553\n38791 91709\n15680 86772\n92920 97206\n7025 55818\n20885 28386\n3519 90193\n12897 20543\n44234 44399\n16761 25373\n14946 57627\n9980 52554\n10814 31055\n3304 7369\n25616 89554\n14197 15462\n22372 64853\n26286 39788\n56126 58262\n44668 64192\n60385 87221\n48924 59321\n15436 19916\n65548 69851\n15095 39348\n98464 98779\n15664 25944\n14613 17998\n9088 94197\n21063 26388\n37118 75837\n57350 58382\n10260 55855\n10129 16457\n33715 34262\n34651 66556\n3906 44649\n25784 59611\n4619 40909\n63983 95621\n65963 74034\n33710 75913\n31068 90932\n70035 70100\n63021 96120\n40527 94106\n44856 66457\n68784 73272\n7366 37179\n3726 65423\n14073 38226\n32559 46685\n19293 65886\n31411 43581\n64555 70852\n5823 60027\n18383 97280\n2974 21974\n87148 92725\n3984 40901\n7833 88308\n962 62535\n84281 98435\n415 81081\n23461 24555\n72888 89248\n15336 32673\n41287 95688\n30412 83995\n15638 53749\n35379 70424\n8936 57775\n48922 83619\n17518 45417\n60 24314\n65133 83016\n76055 91215\n12092 67706\n38600 39251\n32170 58683\n6124 51254\n39625 62479\n10308 97330\n21031 45550\n13842 96775\n35162 60347\n56498 86641\n35971 90448\n808 34809\n41559 83490\n32104 35949\n43741 92384\n39973 73247\n19622 22348\n41104 93436\n8043 9030\n1523 44210\n48539 86745\n47317 56300\n50398 73319\n38689 65604\n63708 63914\n7828 33131\n47649 86209\n23761 92195\n30804 75698\n84358 90222\n25432 85163\n1684 42260\n91341 95633\n48643 58540\n16122 61263\n16774 29293\n10123 86067\n28411 88327\n23613 88217\n50981 83934\n83359 83879\n3560 78277\n6660 83678\n9998 19692\n7387 71472\n31172 83114\n58446 66503\n13208 40152\n13648 59344\n53259 80325\n60317 94978\n3845 91315\n14667 61288\n71385 95854\n82053 96068\n15886 47241\n21856 49622\n9308 72466\n2196 70328\n23661 29346\n11200 60965\n20277 66783\n2508 77876\n35391 94437\n10368 16335\n22842 67214\n1196 35494\n81241 85904\n4954 33812\n58265 86930\n35469 51174\n24319 58430\n23840 57143\n12632 63071\n72330 97116\n30724 56788\n7338 82329\n10591 34030\n3215 96719\n8913 53717\n17534 69050\n30771 68129\n62413 75317\n14362 50128\n44491 74771\n2500 92590\n14636 51337\n27728 60395\n71240 79408\n10864 63943\n9003 59801\n41557 92738\n74600 77748\n11103 14349\n68437 78591\n51232 88393\n221 91113\n3207 87253\n36848 95208\n52094 65277\n14874 66278\n12474 14730\n40825 58951\n23472 76413\n55699 96271\n3484 93786\n21686 84945\n1451 72924\n31620 61647\n33437 64133\n2363 93262\n29277 95028\n44248 63039\n19201 43207\n83918 95083\n5623 62748\n1691 38388\n63225 68649\n86673 96316\n537 95206\n27912 29117\n12881 86803\n23216 27755\n22943 72742\n49294 74564\n17568 27203\n76795 91515\n6878 30536\n7994 89186\n30985 64407\n6423 36173\n50453 74835\n31892 65144\n38055 94516\n65447 90842\n19516 39179\n25330 32879\n75995 91649\n37905 58356\n61050 63115\n22227 55337\n24402 76095\n2761 35846\n29795 65633\n52194 79053\n33678 40568\n73265 79758\n44408 70605\n13114 65108\n60223 64570\n6242 90528\n57119 75720\n9690 53348\n53277 77574\n43457 96071\n89582 90446\n37584 58720\n44459 46610\n22002 30646\n10116 88776\n3426 42093\n31513 53462\n25937 37259\n23412 26419\n20219 78397\n11214 53285\n31170 73076\n1643 53938\n86412 90503\n41121 90831\n41005 70915\n59985 89874\n68473 97334\n16008 91892\n92039 93150\n34574 83107\n23617 79028\n49884 98389\n52151 93447\n22773 70983\n45723 62653\n1478 33146\n40384 64936\n76005 85239\n26773 28379\n280 53965\n42674 93303\n10178 26415\n4099 81181\n34458 37993\n13193 45745\n34149 67777\n21413 63896\n30545 82818\n35383 55807\n42583 63974\n64432 78418\n12016 12603\n86781 94511\n18403 24852\n11164 39179\n42250 77508\n58635 82816\n28940 65799\n2341 62778\n14128 97587\n17007 59826\n60693 64510\n30233 41608\n11195 26854\n26419 26538\n58784 83115\n14536 58021\n19195 41480\n36413 81194\n50717 55613\n30550 94436\n6606 75117\n69689 92154\n87089 91199\n83537 94652\n39110 47034\n4641 87624\n84998 88607\n45081 91779\n43090 72504\n91124 98219\n50147 53504\n48546 96130\n35445 80121\n35657 40994\n366 53712\n9051 99522\n29140 47708\n11028 74129\n30210 81655\n11741 55874\n23703 36580\n47751 89563\n25518 56493\n64719 86585\n14325 91421\n56826 71349\n25455 62813\n32700 43586\n11921 12079\n36560 41219\n11462 64488\n39231 71113\n5669 94771\n38136 94652\n11151 32102\n21055 47331\n91711 93681\n50118 93489\n29717 37280\n34933 84038\n71721 82980\n5034 47892\n75849 78155\n18085 50609\n43435 51906\n1720 98171\n37697 80650\n45482 81583\n51945 95694\n6310 35061\n12312 69151\n78620 99199\n91271 93090\n8759 62926\n50688 77981\n27949 57927\n9294 95484\n54362 77458\n2366 79605\n26013 71614\n20911 36915\n17700 39450\n5456 19531\n41770 50362\n9674 11975\n49754 60957\n30206 60256\n5354 16812\n46175 62249\n58855 95721\n48881 59078\n4024 50006\n109 24368\n52173 83638\n3661 34040\n14135 60628\n26920 95321\n33114 46690\n24282 53495\n67234 87918\n27944 97219\n10692 73130\n31205 73783\n31678 82249\n42803 57573\n49640 79195\n76510 91107\n55454 99920\n6782 23172\n1918 55346\n31961 43068\n7578 24212\n22707 25399\n72505 77735\n23272 75274\n25212 72671\n9288 54453\n37561 74714\n58574 66895\n1259 71960\n10472 59053\n36755 57368\n22077 70096\n921 32504\n5343 59413\n16784 54902\n15151 51766\n30942 92172\n7940 8736\n74139 79385\n74673 80609\n33639 85586\n21662 52375\n31352 93302\n46490 70029\n15245 98264\n26500 80664\n3223 86889\n10767 77507\n777 48404\n32215 56801\n20759 85970\n5007 68509\n14926 62940\n6754 77462\n53766 65974\n54306 88891\n29391 76939\n13259 57273\n4361 53772\n1615 76899\n30317 84776\n22159 94469\n18686 52983\n6043 65822\n51619 54339\n2596 62093\n71870 95508\n6388 91856\n63295 69606\n29139 89613\n33617 39216\n28125 69664\n75225 92839\n13764 20454\n74738 76512\n34348 84921\n45737 89262\n46252 67890\n297 77710\n28602 70323\n72072 95753\n28143 78949\n20155 91236\n45662 49384\n74912 75827\n88147 99004\n75793 95373\n7656 90137\n52 22308\n56108 98657\n54941 62145\n220 15755\n8654 35286\n68904 83474\n12733 73054\n58901 73459\n16936 94339\n25670 32741\n32331 98323\n2304 48823\n34445 67738\n96358 99472\n15024 45836\n27596 61517\n20483 81364\n50784 92847\n49626 53050\n43580 62264\n18926 29331\n12358 69390\n24480 89307\n1715 5702\n41600 41655\n19030 89371\n32451 68778\n31364 37288\n15814 44936\n14127 46081\n3929 32732\n58612 68328\n16467 43480\n55618 57273\n20214 22986\n16876 77853\n1064 76116\n19476 52405\n16955 71334\n65273 90952\n28427 74342\n20022 97883\n74141 94965\n15314 33045\n49040 77948\n27328 37157\n33515 76240\n78065 88416\n27965 29387\n37109 46224\n34227 84786\n572 40719\n16542 79716\n63323 65487\n42785 78212\n17233 20283\n23249 56976\n54889 80263\n45250 47226\n52921 58476\n72849 83847\n28962 70782\n21185 89788\n47236 63883\n23439 87435\n22994 85611\n15365 61669\n28429 96563\n24035 62929\n296 23282\n68715 84804\n48208 93764\n57001 65345\n19589 26208\n13714 88492\n32743 43942\n66068 85277\n54417 82267\n63717 89358\n19103 25806\n23757 54084\n28608 71260\n87678 94531\n4965 90295\n5505 47005\n31327 97875\n17671 73861\n26065 28420\n59933 66384\n18262 69232\n8442 85828\n5869 70392\n57507 92967\n47623 76364\n21947 79970\n4763 38753\n56214 56299\n11837 54996\n77221 96066\n47203 61708\n33918 72199\n6044 11124\n26726 86323\n68425 83087\n4518 91614\n22203 57898\n37400 39880\n14125 72252\n44212 74880\n17995 70962\n22837 81372\n15557 24947\n18781 50229\n6935 20039\n20024 24229\n28077 53861\n37225 56257\n77472 89167\n74387 74732\n78042 98875\n18007 94245\n45575 68086\n75806 91970\n18697 45683\n6527 58054\n54415 85879\n65945 66986\n18589 73761\n18239 46127\n18149 28451\n84165 85364\n14997 52809\n57857 74149\n5507 99480\n41043 65916\n45143 46321\n41729 66773\n25846 90450\n6598 59685\n21733 72386\n37899 96032\n4934 59163\n9213 13022\n78718 95299\n5249 33366\n40373 98111\n13345 45498\n30433 56437\n33725 61729\n42223 44194\n66890 95129\n20413 83831\n20351 38288\n67410 78529\n51389 76673\n49143 85162\n46135 60357\n46405 63008\n24676 47894\n3941 26330\n7739 8920\n4169 26838\n45577 60291\n14914 56218\n46863 94692\n811 88117\n19729 91059\n480 79718\n82606 87460\n61679 99769\n68333 73077\n19195 64224\n42286 55959\n40990 53722\n66086 95995\n7279 12322\n62352 71719\n11826 17948\n68998 70178\n14080 73651\n55126 62120\n45410 75162\n29745 95022\n11126 16740\n7292 47723\n53775 66649\n2591 84230\n35425 66853\n42026 60242\n43176 53610\n8001 76248\n20600 85108\n33845 71690\n35219 77388\n47791 48832\n14979 77896\n93735 95518\n58057 98436\n38847 80921\n48680 89896\n45468 58092\n44635 48530\n17613 70949\n24885 25063\n17080 73205\n24187 61793\n47294 99021\n42580 58662\n59802 80207\n12415 29685\n81727 91538\n33051 57150\n7538 15273\n56587 64861\n54433 65335\n29784 32387\n28471 76155\n31493 53498\n5496 70325\n61130 95023\n91625 97565\n24575 25630\n6684 66038\n11581 86428\n67092 93838\n56492 64146\n31569 66009\n56268 79077\n69257 76110\n54584 73852\n43291 62387\n38280 77017\n19476 39374\n76487 83397\n36989 92279\n16828 91768\n5820 75846\n4867 90381\n23888 85118\n3140 95523\n28406 94792\n70714 94032\n9694 57469\n48279 90475\n13541 27217\n32669 93104\n7096 85471\n6678 18892\n13435 66399\n18191 38982\n33066 50819\n33196 69684\n22168 26183\n15897 71178\n71133 93312\n65278 71546\n56175 84198\n4107 72765\n16678 44497\n91002 91258\n54038 62112\n41732 42103\n21894 84281\n56935 96386\n42993 43006\n32870 55495\n40096 56715\n10211 73276\n2602 16627\n91644 97200\n19060 88223\n79010 83068\n44156 46603\n56422 58284\n20980 67008\n18198 76421\n28277 76896\n9805 48509\n60493 86441\n21083 61726\n71765 93426\n14536 14970\n24345 62028\n6136 95734\n58785 90450\n8280 97046\n6654 50179\n33453 40543\n32222 49836\n8569 70488\n71779 93987\n49439 74440\n52859 77159\n66168 74049\n1443 71246\n9545 42042\n10012 77323\n14916 18092\n650 41554\n67511 68601\n32139 89548\n44354 59628\n36751 85432\n75657 94601\n33527 77763\n4214 89812\n48765 71777\n58463 75288\n443 99524\n55229 70974\n12468 88372\n28216 46106\n42009 81603\n32823 34002\n23991 86130\n55174 65298\n38807 57871\n55117 65615\n64551 97548\n9977 67390\n50274 88486\n9521 52248\n29911 46723\n73794 73820\n21775 89046\n66975 84467\n56163 78286\n395 19108\n12015 39466\n21729 66332\n21562 85006\n18041 97396\n23774 69623\n3102 70991\n75814 95890\n11285 78532\n37090 39873\n66941 91323\n65785 79581\n6473 24152\n28717 92400\n4877 90527\n71682 76380\n13228 62558\n10570 91796\n29566 99899\n16242 27868\n35389 48349\n28526 81914\n3119 22090\n74799 93361\n8843 40924\n17678 41824\n1163 89026\n55201 61925\n4418 77298\n2781 29916\n65011 85151\n29533 64277\n13278 67432\n18581 67994\n5733 58527\n22464 72897\n51975 81089\n23866 85921\n64008 96997\n27521 99108\n41945 56560\n80105 97127\n68485 93139\n62756 83142\n3404 75509\n8013 60951\n19181 99012\n3643 10245\n912 31214\n26301 70412\n80982 87431\n1684 10547\n51256 69119\n95006 99019\n10275 41697\n19312 25508\n44809 75413\n17764 91153\n4695 62773\n29038 34167\n57521 82722\n88893 98640\n62703 81743\n3516 21919\n12772 31872\n10609 37000\n90 96403\n15194 87992\n55244 73133\n49413 84179\n9208 88803\n77183 98258\n30698 52657\n12128 42709\n40419 42125\n69511 79114\n11482 26922\n61461 95855\n49240 84690\n46637 88044\n55852 76979\n21710 91984\n5612 42156\n21382 27091\n3475 77709\n42235 52910\n15506 48745\n70620 71772\n42427 52800\n53560 86765\n53575 77080\n44009 65371\n83710 97410\n24916 41524\n19400 40340\n45945 98496\n33146 86695\n3413 75881\n23174 27833\n74979 93872\n38307 44928\n8006 32203\n59245 62678\n35627 74006\n47073 58139\n20434 41612\n58473 84874\n42883 80071\n6511 89721\n79351 87537\n31824 88161\n49655 60350\n93964 96233\n62221 66497\n64346 81816\n35931 95084\n53859 79945\n5450 33945\n20488 97938\n3505 6793\n11142 58497\n60996 66126\n24262 80332\n6643 85014\n21377 69950\n1105 38641\n39109 88296\n27668 76035\n20482 35008\n18865 84660\n30403 36726\n61447 69625\n6872 26051\n14837 26950\n41273 91654\n47737 55514\n77126 85912\n46277 92196\n14255 31943\n1927 76143\n74627 88209\n17121 76423\n26024 42174\n59490 72077\n20614 44997\n31214 75520\n35276 62042\n8644 17404\n15491 27851\n63918 83950\n23471 82310\n23726 45486\n23318 61429\n41406 74118\n45458 79107\n37007 93208\n5831 98285\n522 86132\n26089 95288\n12874 54418\n13303 52046\n49353 87096\n3144 95353\n63444 93509\n27698 67416\n41153 91344\n29039 93088\n51904 77603\n4356 72444\n21964 46639\n12392 12647\n25994 73894\n81385 87036\n50575 69979\n12041 97094\n5689 72154\n55589 66483\n7809 42965\n78755 92338\n15173 36534\n3507 24277\n20837 85229\n16448 38544\n33478 34321\n97441 98817\n37863 45484\n49050 70370\n30597 50985\n39987 90321\n63395 75020\n4910 93316\n3413 80434\n62944 84889\n11943 70501\n21657 40513\n15806 66523\n21413 55501\n63564 84236\n26407 71657\n12757 27700\n33782 99302\n54636 87951\n13517 43340\n24618 33202\n36617 70580\n19856 48956\n25675 94081\n48596 89484\n52835 57924\n25563 72032\n5531 31576\n28771 74122\n3575 12180\n13152 52568\n3448 87748\n20567 47532\n27062 35481\n34578 76203\n65567 95367\n24575 82874\n6725 30129\n64152 81302\n14735 32490\n18538 35148\n2063 5805\n37802 48245\n35789 79096\n29070 30038\n9975 91225\n39200 85640\n7842 32965\n73030 88982\n35772 36782\n18195 40165\n40466 51377\n47068 80439\n58839 94065\n52731 53913\n34851 37041\n28841 42600\n91976 98195\n50681 85518\n31307 82225\n9741 56408\n6064 48740\n15911 59875\n58989 84558\n30296 81379\n33028 51565\n66617 81212\n40181 73758\n20166 86621\n72405 76399\n11204 38257\n11330 73539\n46187 89706\n69410 76872\n2453 18628\n10198 88620\n4270 23757\n57802 70732\n58713 60622\n11269 37144\n76987 91518\n16572 76158\n39421 49266\n77785 99776\n64082 78885\n27543 87396\n75 60612\n53285 65291\n54299 84922\n32755 74250\n44980 48180\n27170 30355\n27008 95652\n39824 93546\n44625 48316\n62844 74866\n70087 81008\n31644 82700\n77195 94204\n19967 51365\n19450 82744\n81909 85282\n722 16430\n14814 80307\n2652 83560\n55158 90580\n52941 79156\n47064 70298\n45427 77734\n15854 54303\n46508 63019\n3914 63214\n77136 83237\n41563 46678\n11852 69517\n2799 72963\n28025 36674\n12217 89217\n13764 34245\n29319 63999\n17080 48545\n729 22934\n72857 94606\n49799 56023\n96532 99206\n52570 72799\n8225 51974\n778 81917\n25074 96771\n53489 80361\n50734 80051\n40775 82378\n16998 34012\n11217 88836\n76537 93856\n1269 61927\n14274 46490\n48201 94518\n13566 89037\n23682 78567\n6211 93907\n23578 63998\n15426 38532\n80908 90079\n18065 72482\n20548 30878\n10729 63028\n23819 25474\n29392 60191\n11504 20970\n13337 92741\n77185 91532\n277 47539\n16931 70534\n29139 32772\n66053 80515\n74209 96078\n8398 80991\n81652 90597\n5689 90393\n37640 91821\n47215 66795\n42622 60563\n26799 81562\n6662 37396\n30790 75559\n40835 41161\n46516 96878\n46873 49307\n8084 93373\n61448 93170\n27156 65404\n38981 87014\n18026 99336\n14968 16063\n61980 97375\n34128 96042\n40293 92351\n23325 84362\n16544 89339\n93556 95187\n46874 88221\n17838 66867\n23122 25010\n58386 61042\n8137 80608\n12512 23950\n31097 40296\n24036 45557\n12255 22047\n11042 76238\n34641 40473\n7493 33887\n32731 75574\n39469 88099\n62235 71636\n63453 76787\n12022 63981\n72031 81066\n4827 16243\n28056 60402\n40981 45818\n74204 90013\n16079 40233\n41967 51437\n9993 76289\n55506 88248\n47178 68684\n19139 74722\n8814 81073\n39860 62612\n74180 85865\n3490 45765\n51779 60096\n23579 98652\n63843 76125\n19338 98609\n5594 27726\n44081 52750\n43427 44543\n25340 59290\n27530 39007\n8137 68645\n22136 75178\n71097 96899\n32835 90687\n16076 39362\n6093 42060\n1309 81244\n15797 21064\n26550 44716\n55780 95982\n84241 98166\n30515 47553\n76296 90308\n44559 77698\n48808 74330\n44658 80864\n61605 85173\n46387 48265\n46872 76494\n48647 85845\n3864 22958\n44305 96912\n37762 87273\n13456 54539\n58777 93531\n6731 94433\n97412 99397\n47499 77080\n79596 88117\n25845 38669\n35057 61607\n76291 96913\n59149 85344\n73019 96464\n51007 57792\n2393 86917\n16424 76304\n69013 86594\n19566 58600\n14570 41722\n70839 91814\n16162 61556\n88070 96211\n10565 36600\n66545 80897\n49520 70639\n35920 73254\n66338 90770\n5202 29760\n79009 85984\n55888 68866\n48117 95041\n40136 43526\n80910 86370\n16200 30129\n13700 83911\n20217 58176\n32218 90083\n42923 46060\n35940 78491\n27986 96398\n51373 85427\n65820 98512\n11665 97624\n13799 45921\n15150 50415\n50589 83705\n27187 85650\n84264 96066\n90371 97790\n21230 32524\n34071 75844\n22110 48179\n29883 45052\n25935 87729\n5677 9017\n26577 41498\n21918 35640\n40679 42386\n2054 42257\n14030 93442\n27221 28009\n25655 28786\n40539 51658\n23851 32249\n7410 27006\n41657 82727\n35062 77791\n31513 92692\n19364 81883\n16448 41895\n65724 67440\n54627 68717\n57478 92104\n6251 51084\n26186 64795\n57891 74816\n2675 63655\n37247 57188\n20231 92690\n1142 3322\n11639 58221\n10864 69230\n13177 31766\n76835 80593\n41445 91984\n42528 58659\n20448 70556\n49787 57774\n17260 63927\n57001 98237\n32869 38805\n15567 90969\n1501 23643\n76719 96030\n29880 55063\n44291 98045\n16839 60146\n41673 43332\n23234 46660\n36658 64657\n34046 98067\n7923 37599\n51338 56964\n14606 79152\n13748 99309\n64172 80173\n11546 37680\n27557 68209\n57024 61707\n91180 96792\n17626 51679\n52810 99499\n27198 98919\n30655 77347\n37632 72076\n4194 34445\n33859 66843\n9178 59573\n70546 85340\n27275 66699\n43324 63510\n2984 48908\n60825 80348\n58080 88914\n62481 67945\n46138 83473\n27281 48815\n56242 90151\n27936 94981\n23882 42490\n1028 22888\n62980 87067\n85361 98514\n18506 71306\n12298 51935\n13615 67350\n21482 92865\n19845 42019\n2241 82755\n57574 69309\n44193 74329\n36909 66547\n15215 51059\n49293 65762\n5744 46725\n68033 94789\n61756 87161\n37697 51680\n53800 92819\n33550 63113\n28335 39164\n106 92006\n809 9371\n36884 98342\n54376 94234\n44646 87345\n25075 66919\n35504 90407\n22963 93112\n3317 72026\n32560 43797\n24902 37451\n29516 92983\n18488 64121\n56975 85333\n14092 16113\n21640 33492\n19448 75918\n19177 33121\n6388 77855\n43323 69364\n37981 78067\n1035 11670\n16211 62338\n23424 40728\n47083 81119\n12620 91214\n72054 85251\n37106 46511\n50383 85939\n67238 72340\n12697 58306\n32681 90414\n78216 92315\n287 21665\n34349 40916\n20292 48600\n5464 99874\n52284 71063\n11517 50269\n77325 95803\n17697 91371\n64217 98417\n48142 82293\n2833 37075\n3259 27332\n25799 44427\n16692 65269\n49674 57538\n21386 34222\n24292 96170\n25915 79611\n86237 99837\n53687 93527\n5208 67134\n68732 92456\n6094 30279\n20019 58139\n25130 74453\n16171 69403\n75265 84140\n61161 95295\n12038 70034\n23593 37508\n23620 88000\n49844 60277\n28785 61825\n66324 92373\n7567 39831\n46238 47500\n37333 38444\n35362 50130\n39581 64242\n24982 68314\n60787 92802\n19602 95119\n13850 27019\n10663 96997\n4413 58405\n39441 95195\n69722 91041\n82819 93929\n33410 63669\n32194 48085\n38292 77771\n17364 68284\n23047 70525\n62153 87460\n39130 71035\n57616 88750\n3439 92622\n29377 69614\n49609 51773\n11792 12073\n61790 74915\n9746 52179\n34206 43117\n22307 49264\n77121 94000\n83181 89623\n57264 89247\n57015 78461\n7257 98249\n16216 18647\n64356 80726\n37342 59423\n1988 27390\n55450 90044\n39307 91302\n32068 60645\n67717 67921\n28808 77595\n2668 25734\n26114 26198\n56944 70911\n2272 18594\n26006 37391\n30591 65375\n13750 95164\n59778 77908\n31403 65794\n51709 69531\n2162 85410\n37601 67117\n65603 83265\n28960 73447\n35800 91515\n10440 52709\n74505 86195\n68076 68455\n2024 30439\n78633 87537\n62501 97707\n9022 32025\n41545 76840\n33775 91069\n34131 60623\n63177 74110\n27822 88710\n11933 54127\n2268 94956\n2671 81012\n69905 87545\n16070 48084\n35928 43917\n574 76279\n66776 78015\n50995 54261\n36070 44989\n58519 75009\n4446 46392\n57651 73617\n78474 93795\n76843 96257\n31749 78811\n35222 87359\n21558 56233\n21566 76587\n5729 80937\n8606 80466\n23313 80703\n12313 94502\n7378 73812\n9481 71331\n17694 59146\n9416 14549\n46244 72962\n49956 87437\n63126 88380\n32509 95879\n5576 16252\n2830 44843\n47759 96769\n28774 52079\n28286 64567\n13556 84878\n31736 54206\n19076 30444\n19264 38946\n34016 77449\n93586 98473\n60475 76162\n20309 32340\n48600 82405\n27248 41355\n33556 62581\n23990 49276\n96384 97842\n46997 86419\n3903 89983\n34434 43306\n64179 86252\n13356 98801\n63551 75919\n3520 18330\n11307 33461\n36060 45923\n81651 94300\n18862 28162\n79022 88600\n34188 62169\n26490 91549\n72244 80117\n11679 85070\n15381 42867\n7930 79263\n40431 61412\n36255 98619\n2802 28355\n10426 81702\n8377 61788\n52139 79279\n90122 98475\n17060 99496\n22668 82231\n8434 77878\n53247 69987\n87775 90499\n28550 38635\n48106 62019\n42268 79314\n8497 56744\n22279 42305\n3340 18785\n5109 63727\n6530 17248\n42519 79744\n22416 25506\n17288 24385\n62542 64164\n26452 58676\n27199 45325\n24775 36049\n8193 55018\n26084 94992\n2952 19783\n12396 67950\n22471 57062\n28999 40434\n48114 49619\n31695 34614\n25783 30051\n8388 71195\n36628 59562\n26937 57838\n1276 36970\n7579 52298\n5304 64086\n39805 49492\n40706 88258\n30461 91228\n9689 43543\n19262 67017\n39379 58636\n20415 46077\n24072 32707\n32397 74464\n1422 88325\n71104 98304\n54119 69997\n13851 72208\n3728 87817\n26642 55514\n19563 74577\n4344 53356\n23184 47134\n7086 41240\n55723 81583\n800 3936\n8619 35084\n26507 30253\n50244 91311\n26850 90291\n26443 31135\n1246 44574\n64659 68939\n40209 95107\n26730 78528\n1807 38957\n12221 93164\n34365 46130\n12130 75616\n60153 76563\n52851 77475\n46893 54498\n15814 82262\n56765 64187\n30698 91869\n8324 65984\n64168 80780\n10994 31436\n24679 49545\n35867 80681\n6323 11401\n24428 39422\n71999 73649\n50240 87360\n63463 99811\n5508 98762\n62691 72864\n57572 98699\n7586 90327\n44642 98746\n26741 65636\n62426 91851\n20754 42753\n51690 58369\n83884 88937\n15481 80500\n83469 91140\n3172 85301\n17754 27419\n53215 97386\n39881 79841\n3307 56293\n30321 30352\n51649 65913\n8444 29091\n56567 94842\n75998 93587\n63104 81943\n72158 77274\n11234 40199\n27973 46757\n28604 57794\n55766 96363\n2978 93970\n62555 73701\n89951 99072\n40032 41446\n73675 74519\n574 4419\n4515 80254\n37246 78872\n5305 99632\n21133 53671\n15117 74731\n21906 73243\n42813 78948\n5493 19775\n29104 46013\n9856 53871\n43802 96830\n23344 78827\n18120 33059\n1710 9372\n82724 90069\n82219 91291\n40507 95623\n42205 54009\n13377 67144\n37512 45666\n59486 66082\n32334 54573\n31012 58741\n34382 42114\n52336 84807\n29641 53355\n56393 98966\n43899 87281\n44683 62596\n5658 73033\n1376 4192\n2355 38686\n54645 91396\n9057 73622\n28299 81864\n22674 92357\n58539 81392\n47456 61457\n28306 94361\n9751 33974\n34061 79435\n42311 42966\n29895 90885\n33778 36143\n20021 53522\n21884 31310\n10557 96983\n57864 95923\n29568 35611\n1937 59902\n24641 61215\n27756 80825\n3655 27506\n12455 48252\n21529 78473\n77277 86503\n31184 44423\n12200 30541\n91286 99041\n210 86646\n52849 55030\n32734 96101\n43051 78155\n13426 70310\n27581 58558\n3866 25083\n35205 41173\n18845 93001\n5991 88577\n46739 56677\n31309 66805\n17260 43769\n11663 16797\n31625 42131\n34759 96108\n889 36726\n39971 85162\n51433 62449\n61970 87352\n62352 69584\n47039 66657\n26416 90751\n35588 54073\n54932 96165\n24403 93829\n51386 80722\n61128 70832\n91108 95372\n70344 78171\n28526 38472\n88578 90114\n21936 38782\n32661 34989\n1061 23613\n75093 79277\n7209 48336\n17458 48904\n80270 90224\n62020 90655\n22214 65763\n14441 92386\n66777 96788\n25956 54133\n8744 50719\n58885 81280\n16282 66304\n63143 63820\n13845 18972\n39042 68719\n47079 87928\n44798 95145\n38599 65478\n64596 66667\n10876 59189\n44707 98445\n1131 77147\n9987 35305\n14913 80150\n55858 73631\n24759 38411\n30942 81369\n523 8375\n33105 56559\n62278 84697\n61111 98068\n86375 95748\n84970 99158\n32720 86548\n3192 80544\n69179 86472\n2550 77228\n45069 95340\n34959 96621\n22130 52018\n22505 88831\n3603 18023\n25118 99732\n72041 88220\n8354 63922\n54449 63937\n5991 30056\n19615 78360\n56336 84910\n52590 76366\n41237 86925\n44274 90139\n36616 84994\n53987 84674\n52460 63074\n68586 97851\n21130 72516\n78829 97867\n8124 45407\n18677 33532\n49618 63084\n10376 99181\n23050 70479\n48092 84154\n13574 80797\n12688 47160\n22594 81289\n3648 97685\n13330 86389\n26416 55206\n71448 84389\n12621 32952\n13997 45093\n28626 88239\n4226 16585\n25319 47427\n44716 91727\n35172 48310\n42290 53873\n34846 88633\n52732 94160\n18740 22758\n32255 53876\n76019 94338\n21137 52650\n55290 74889\n5774 23794\n1325 84493\n74217 89313\n12399 21466\n3440 87668\n59367 90475\n29499 72092\n38639 57536\n15736 83175\n54891 72616\n7125 48026\n76363 79796\n31290 69777\n49931 82576\n39490 75870\n9545 21789\n44504 97663\n11570 69174\n72057 96872\n52722 73368\n21317 42897\n66518 73565\n13498 63614\n74218 77158\n87614 99873\n53519 99267\n65498 79700\n61135 66159\n3967 12559\n17564 88567\n56421 59255\n21215 54101\n23183 49314\n29147 85921\n35202 48947\n23689 81369\n53552 88724\n2367 92509\n36726 84421\n46710 49598\n29859 50487\n14063 79028\n46650 58700\n33814 90882\n39126 82974\n34961 92246\n38090 74607\n3408 45589\n51873 52964\n73884 81081\n33486 58604\n82202 91362\n26857 75392\n84014 98962\n1559 2811\n31986 38733\n41555 46072\n22592 64247\n92640 93040\n77578 95256\n87137 98018\n14722 73655\n31779 82953\n36308 86292\n33439 87063\n31531 59287\n23451 80833\n36966 92207\n34180 48504\n52212 88333\n24139 96228\n41887 85693\n55528 79278\n42282 61856\n75156 97888\n67344 88060\n77322 85144\n55476 97469\n31308 99932\n47 50760\n42947 59649\n62920 79659\n38917 72932\n29968 69162\n24459 49359\n20799 51423\n24003 69928\n78922 85321\n13937 45355\n35669 47425\n22248 22966\n85193 94920\n77572 92792\n45304 60071\n8472 40888\n57572 71484\n43600 75173\n46024 96093\n55776 68866\n10537 81763\n5961 19342\n10384 98751\n15415 43247\n96363 99711\n30992 70765\n36988 57602\n4028 4949\n53419 94429\n48848 57051\n36799 64947\n8977 73250\n8907 86443\n56611 59580\n58570 67227\n17763 62387\n38321 75793\n35564 80119\n27732 97590\n32161 54014\n70211 84711\n57384 96560\n14211 92327\n26158 39591\n29601 61615\n1451 99024\n71653 79015\n25399 85414\n19260 95700\n26806 50464\n59120 62542\n41622 63674\n63335 90925\n76359 99813\n14307 81987\n60216 88395\n73345 93279\n11141 58311\n8 82629\n39049 42439\n19547 83906\n61145 82682\n33746 47169\n43753 69418\n68321 86266\n13777 42274\n18093 43975\n40568 93422\n39090 80043\n64883 72328\n5784 83859\n38029 92540\n4489 96030\n71110 74819\n34702 73302\n66324 89351\n20527 54033\n69578 75929\n27811 71103\n29362 32253\n7944 10458\n26267 51805\n67143 72594\n25885 67478\n45395 84498\n12924 93995\n1610 36521\n18396 70552\n50365 91100\n8701 23878\n51536 85025\n23373 84475\n27473 49117\n66861 97185\n49765 62400\n20811 74427\n37885 46321\n7077 48573\n64098 97642\n48254 51922\n10399 45343\n64597 72479\n30152 54430\n22820 28277\n26920 33275\n13974 31300\n45144 74423\n52254 52860\n13833 77524\n14696 80221\n28881 80990\n79878 85971\n988 73598\n81719 85057\n17379 44225\n26813 41194\n3394 96951\n25988 90422\n15766 94468\n29460 60341\n62981 95303\n76291 79250\n18302 60840\n21084 84676\n51483 88873\n35253 74185\n82658 87726\n9155 24172\n8607 93922\n28606 99875\n96710 98052\n9997 88581\n19238 45628\n69881 77470\n73252 88043\n87171 95987\n17318 25699\n25306 32243\n76731 99820\n83148 91004\n10337 68281\n9066 12300\n18289 52065\n55399 92973\n61617 86683\n35131 68790\n19855 70422\n15676 64599\n53331 89411\n14766 40565\n17552 74254\n1065 92492\n15056 97604\n33917 75489\n51992 75235\n42744 99904\n39256 67592\n23944 47047\n47651 59981\n1524 68947\n31038 92880\n48805 90281\n26738 95261\n74276 91340\n40636 70355\n8520 85622\n73900 81860\n29902 44010\n13589 98589\n69972 73050\n33664 75558\n40411 41177\n32537 35281\n78669 98708\n76914 84598\n11118 93595\n22335 76013\n6667 37864\n5256 27402\n29165 41046\n30489 55836\n42624 93956\n30712 32487\n28835 39935\n4154 52320\n43513 80183\n8971 54259\n4023 33468\n6919 12471\n16755 92590\n37115 46179\n1165 71239\n86929 96340\n6115 57496\n42187 68599\n33225 72273\n46284 50497\n26888 29365\n25065 65483\n31308 40135\n11918 34209\n7752 45272\n61840 79869\n7897 79354\n81662 86157\n46657 97430\n27475 34869\n89402 96169\n22901 26116\n3952 60926\n39830 60881\n31824 50882\n77024 96070\n48216 99216\n16211 64441\n83389 99120\n36407 78500\n49559 72611\n10268 67902\n66746 83755\n44668 65549\n12409 77741\n39329 59417\n29497 86101\n20484 41031\n7299 11138\n66844 73400\n9707 62764\n75534 84150\n86376 91615\n60696 64071\n4554 9467\n84450 99533\n5303 20115\n5096 62833\n32142 71042\n63577 63715\n8049 46213\n1140 75505\n15962 58599\n12298 26282\n15804 71523\n43062 63674\n63018 67746\n51919 97741\n13297 43713\n21157 31147\n68376 73964\n32178 75058\n59974 96450\n60227 75662\n7071 37078\n15161 89057\n18569 72934\n27141 70543\n10076 27042\n47496 59601\n59292 81439\n21776 94496\n44017 52767\n28463 65794\n31221 66893\n935 3471\n26002 91736\n38001 38257\n32338 68708\n19717 80594\n48616 90974\n5602 28649\n17228 84737\n82319 98174\n22552 27986\n2584 50247\n14096 39539\n29011 45399\n73247 95063\n51703 82922\n27643 97526\n7669 71074\n40190 49767\n13675 35908\n10527 98113\n43184 65742\n1109 54513\n13874 75199\n61308 90375\n59602 69324\n15510 88425\n33337 88778\n29232 56195\n25126 78526\n35996 74610\n15474 23849\n55458 66792\n41942 75727\n2619 77418\n84134 89228\n29442 78313\n24120 60612\n9551 14142\n6037 94066\n16043 96711\n3706 28343\n24824 65022\n14450 52717\n43520 98790\n4466 51362\n79257 79566\n32995 56866\n60426 97486\n17403 77394\n72760 75629\n56441 65879\n72136 77060\n63191 76119\n49738 93663\n2789 20140\n26322 71704\n58535 80183\n21148 29815\n42498 66294\n13354 35323\n70359 71699\n9284 44481\n27768 39370\n33050 87648\n20332 74488\n14001 19580\n63534 92810\n51873 65475\n13823 61190\n536 46972\n4723 18753\n22424 63372\n11908 69238\n44820 98855\n79 55331\n8249 92105\n15076 70219\n84119 98069\n9916 15746\n69428 75076\n18389 68514\n68953 94239\n50611 58904\n81162 95001\n39162 64894\n832 63754\n27604 90558\n5031 65237\n11368 78437\n15535 17947\n28110 61270\n64674 73443\n67444 97925\n84721 94140\n5868 39061\n44113 89296\n25126 84010\n40796 48616\n89048 95912\n12431 21498\n12368 47151\n235 20204\n64727 97008\n17272 51195\n22703 58400\n56539 94386\n30287 97034\n33038 87592\n32889 58771\n37698 60742\n722 30453\n4862 64094\n19464 20751\n28232 92116\n16577 58727\n9899 85964\n27427 60256\n31107 75132\n20241 38454\n24355 72773\n23977 67171\n51641 64508\n47720 78372\n42764 43305\n11657 98445\n30144 61429\n5988 60260\n80758 89058\n24110 97473\n34579 79295\n57853 89165\n28032 81452\n15923 46019\n48270 81167\n5686 58048\n56599 69651\n58760 62392\n6742 67295\n64239 98192\n47718 95582\n14147 18638\n20319 44273\n54558 98415\n33649 53108\n76305 88218\n43022 59224\n25915 89997\n63441 99881\n32086 77652\n31609 96668\n3455 83780\n1002 58738\n50748 53541\n25682 67931\n31389 49035\n67522 81957\n32471 34876\n53420 62395\n31900 79928\n55077 82526\n66595 84468\n90456 97262\n46197 61496\n15723 30083\n41562 94074\n3468 68161\n10592 33551\n14536 63655\n35785 41890\n20870 44019\n6275 40283\n17805 22433\n3383 11028\n19851 82224\n71562 87649\n13910 15198\n10616 54809\n21476 45666\n52425 96585\n21594 50040\n82005 98330\n11433 47542\n31995 95945\n35420 83914\n87913 95024\n52335 82092\n14311 54680\n55605 56690\n20967 90931\n42097 79942\n3465 85047\n41991 55880\n213 70216\n41048 80211\n1664 62410\n42401 74429\n29447 85018\n43504 73179\n7020 99533\n63338 73407\n54842 96762\n49506 62025\n21282 97283\n15858 84435\n59136 67590\n64472 69003\n74350 81698\n42136 91578\n43330 49823\n30318 60186\n14614 96579\n12645 39713\n18640 20271\n60514 67808\n53472 87065\n62020 76882\n38692 46375\n30239 78878\n7218 58936\n27427 30357\n9639 12144\n2870 79124\n39289 45468\n12098 84103\n45116 56618\n64143 96592\n5034 37006\n61235 78551\n78614 79446\n8176 19004\n88045 97563\n78244 94794\n17917 97884\n66965 87734\n895 52299\n74654 90343\n16722 61991\n53382 74201\n18070 61814\n16270 25317\n15872 82218\n65043 78114\n21403 58307\n753 1550\n42868 76339\n77542 78130\n5518 67832\n42093 96832\n41494 87318\n65097 90238\n8908 28106\n24420 36557\n29749 42282\n44149 71497\n19107 38944\n15357 53666\n67882 71150\n23070 56301\n28113 89562\n46543 82610\n57045 74125\n28058 90680\n19670 74098\n9131 21212\n4852 45096\n57764 63263\n35964 64785\n25622 67719\n5676 15962\n8606 65730\n2515 68018\n43034 80370\n37826 61028\n12581 67144\n39786 46083\n5281 89536\n33292 88990\n8230 92503\n70615 92881\n5488 8855\n42160 53004\n2733 40107\n22265 82914\n27065 60456\n37241 40344\n86312 98762\n47576 62178\n78433 82773\n45770 67938\n5433 27085\n47199 81956\n52336 72600\n63269 90422\n21928 99254\n62057 74175\n49442 79432\n10682 88792\n10180 54641\n7817 97459\n13527 14652\n31138 46874\n65287 84466\n21427 55826\n18361 60003\n12341 45315\n71528 90347\n23413 51092\n2297 64802\n70379 87429\n76939 94263\n71394 76354\n21590 90070\n17068 72619\n34584 72121\n12065 73874\n3629 36040\n82120 84752\n11918 93492\n9367 88116\n27138 81836\n63007 83427\n2076 86294\n88202 88741\n40011 88005\n61645 75683\n59666 94261\n31752 71994\n47884 58212\n10035 12864\n59046 75564\n18660 23352\n10231 23380\n17589 22735\n67408 74304\n6231 7293\n65412 82318\n3729 55113\n14320 59214\n23896 30732\n18523 27265\n70540 90996\n54749 67472\n44161 49407\n58936 79141\n21690 54611\n39035 86211\n4994 74015\n52751 60664\n85880 93269\n46942 66474\n56767 77951\n6776 39843\n61414 84749\n3329 12730\n5763 16585\n6002 30769\n29709 40172\n47852 56254\n30877 34270\n11204 53552\n12788 87421\n12493 96909\n65491 99428\n28330 62779\n26416 30422\n26617 37797\n39923 81334\n40335 74880\n75873 80762\n20418 54703\n41282 90617\n85443 92655\n34042 50076\n54388 98669\n89683 91165\n35467 69387\n26233 79025\n52910 69598\n54822 95835\n28669 44416\n95876 98397\n45577 84547\n19863 39864\n4406 24277\n9140 81785\n24789 27261\n10253 72984\n88166 97796\n9501 51497\n65487 86173\n23807 85567\n57817 78791\n7611 42346\n2562 60035\n47068 94345\n6271 38647\n24077 37346\n16072 39114\n2538 9568\n39592 80985\n5300 58945\n2976 28678\n36028 73218\n5067 32125\n44109 48555\n50705 68741\n39927 59922\n7972 71210\n48523 89410\n3817 16994\n10863 66931\n60362 76618\n13845 31665\n56373 67753\n21186 43956\n36225 76745\n17546 83789\n76775 77816\n11877 71374\n18038 52847\n2643 60245\n2359 71216\n24520 99019\n26407 55719\n54795 58496\n4316 52319\n69791 78948\n61504 99847\n91956 93132\n7384 35222\n36943 54701\n53966 64687\n43129 95653\n11453 48343\n32 15453\n24590 52314\n11665 69324\n23481 99932\n52954 86349\n87249 87565\n4212 51526\n44405 51750\n29879 72618\n81689 94699\n12980 16248\n9479 24806\n67498 99330\n860 24163\n68424 81410\n23914 88373\n38454 89874\n14472 28746\n67355 77772\n65094 71992\n46403 51142\n17200 72454\n47017 57313\n16094 63696\n8722 12225\n10170 21539\n6542 72906\n62713 96095\n83870 86260\n25100 96954\n39766 69661\n6687 59227\n17436 38663\n11076 65684\n951 75398\n19339 82171\n30676 51317\n7185 84398\n48800 50914\n49417 82287\n35266 43000\n22450 86161\n40346 44670\n52564 70828\n61710 80746\n33090 63920\n17669 91098\n14237 55217\n12871 92727\n30539 60587\n867 44616\n14303 48496\n1029 38633\n73851 86311\n40161 58482\n7869 85660\n17289 56902\n36979 49099\n87965 93113\n14248 76201\n28668 90327\n61031 85278\n6399 75725\n6773 9384\n44590 79730\n61085 73214\n63898 97707\n20628 40262\n19459 48211\n47386 78663\n5473 68718\n44417 85748\n60699 68776\n9245 16518\n17741 74853\n25520 47884\n10884 84138\n13938 20055\n16482 17333\n319 46180\n16453 27855\n22224 55253\n31052 37449\n16447 88298\n7764 72781\n52877 67228\n30005 48141\n55628 97509\n52480 52941\n53996 73691\n5459 33906\n17631 39523\n13956 50057\n19835 82487\n49208 91902\n32909 93397\n31280 99187\n7977 81057\n67659 84568\n48517 94228\n13742 26003\n5327 52429\n64285 92697\n16808 79021\n58478 74018\n31981 88041\n14801 50967\n3843 35623\n80485 86219\n5670 63915\n23715 91261\n23281 60869\n59757 84192\n73995 93714\n27541 84524\n29415 37725\n43416 51408\n51510 99905\n18336 95748\n86005 94817\n11265 98807\n1514 75016\n81382 87660\n56378 76480\n23990 29026\n322 29967\n82553 83462\n68846 81184\n26640 40634\n34585 52936\n59333 78439\n23015 49136\n648 77554\n20406 26101\n13813 71390\n50786 78474\n89459 97864\n56091 64875\n63352 75987\n36788 70138\n42384 96564\n22011 29542\n9332 65638\n19934 98324\n67318 81346\n37220 92933\n11047 57606\n68967 74105\n38037 91697\n17608 71383\n62003 79593\n60933 98128\n87625 88574\n70559 78442\n31229 87188\n49176 79306\n46225 79118\n18513 86890\n33853 94025\n53955 78283\n43363 92574\n9864 99183\n13375 57614\n49342 99753\n23026 35515\n13474 64840\n10625 74843\n57070 79706\n51655 56330\n52573 91088\n62361 78236\n19680 86890\n7677 57599\n19260 62822\n22405 33475\n8696 84937\n31702 39040\n10511 20376\n87169 92298\n71148 77661\n9272 33642\n4038 39518\n62658 81399\n30115 70916\n13419 72977\n4017 25255\n6715 93691\n47801 69231\n9114 76654\n16630 85175\n55211 82540\n68968 93925\n16192 98109\n35157 55559\n19123 51434\n66025 84800\n39294 50474\n34260 97136\n17664 39326\n20585 33832\n39952 67266\n44898 50825\n40351 70398\n60325 64874\n77114 77768\n14299 73018\n47751 89907\n28273 73922\n10335 79634\n37705 90404\n23380 35310\n53622 57117\n7959 10634\n14938 91705\n53738 73914\n3333 77824\n21213 94858\n5425 95241\n28940 29119\n29438 53304\n17812 31978\n26168 46083\n42274 74443\n18389 93161\n64991 74076\n39486 73290\n34408 47438\n45191 94768\n5896 86481\n64773 92083\n29326 44889\n90622 94938\n54256 95247\n49274 91473\n57829 70801\n38143 95366\n33625 86637\n5823 91892\n8166 22806\n31315 78175\n69146 75587\n42973 92703\n315 69437\n1614 10600\n56303 81086\n8172 72822\n22999 67341\n53646 76499\n31607 54615\n60922 93284\n22869 39123\n66177 76921\n48304 65860\n60018 79634\n25827 93614\n13964 83840\n66395 97319\n43524 50020\n83069 83116\n21973 41174\n29745 60598\n73070 96920\n32481 74417\n33012 71312\n3589 75870\n60734 85610\n5791 19872\n10050 87420\n7873 27224\n56615 64135\n8842 13550\n61653 86109\n20902 34628\n37221 98109\n8350 44801\n6366 84983\n59219 92603\n71353 97724\n46221 75258\n7119 51232\n41751 49396\n4220 83365\n46879 60484\n60587 99120\n11439 14034\n3490 50436\n48011 91077\n1979 73584\n6726 74626\n19833 57604\n74941 81883\n8101 81954\n15418 43984\n78023 84117\n70491 93842\n31205 38814\n42836 48328\n37100 94198\n34463 49333\n40586 51046\n45386 81787\n81004 83842\n17939 22481\n23292 78731\n70919 76079\n38571 41091\n61360 64653\n1428 45361\n63715 87133\n98833 99605\n36366 77406\n22808 53385\n39255 73601\n4827 51558\n48722 69681\n2830 21873\n32740 96104\n37702 38918\n35879 45022\n38613 44961\n39400 46189\n69212 74163\n7669 19792\n54029 69438\n25899 56566\n57163 69931\n31144 45164\n4522 85806\n52491 87338\n43171 85560\n26987 55762\n14158 27529\n64565 67057\n38592 38966\n19874 66901\n36177 78503\n22093 94206\n27095 90428\n16078 21040\n21418 21922\n46213 48271\n31522 91456\n45604 83671\n18519 48445\n19568 89498\n13205 30772\n58490 75400\n89102 98260\n39187 91233\n33900 81309\n22541 75629\n24426 41304\n36951 49698\n5666 31922\n2838 60312\n33343 91279\n44484 71019\n54736 99306\n23663 63273\n41469 99342\n74387 94878\n49554 76926\n20223 71108\n92327 94357\n42689 79264\n30900 66788\n14370 75668\n81898 90695\n4681 17954\n66200 93498\n40405 65234\n4582 30992\n4237 51040\n30208 44558\n3053 20802\n1956 82649\n21638 29192\n57161 99480\n3943 51978\n22101 38749\n89860 92240\n62491 91231\n9363 77087\n24290 48853\n87881 94677\n35733 47744\n11934 43876\n43886 52656\n59643 69534\n7998 50682\n44758 51952\n60549 85368\n15379 96747\n5567 20619\n16184 98862\n57602 59543\n51485 69315\n23766 57829\n28387 35893\n18727 91238\n55214 58039\n16637 94439\n10148 51940\n39016 97541\n57321 90480\n14011 25722\n46617 70727\n6657 21149\n48818 76840\n96866 99716\n43854 78829\n66165 67521\n6120 46892\n20555 93242\n17522 90877\n54744 55799\n11114 42201\n64091 80423\n37987 79875\n82154 99814\n1396 78204\n27197 70102\n46458 83659\n11669 29786\n7483 72669\n19399 95043\n29322 40202\n56436 57896\n14547 93336\n63847 95728\n6503 22654\n46844 75671\n33608 94670\n11951 91886\n59616 67898\n34620 68459\n6335 49137\n8930 12452\n30553 63848\n32716 61821\n8718 73151\n29150 79630\n9047 28535\n38293 88979\n45104 55042\n193 22249\n80965 96247\n16943 93405\n34537 84958\n51965 76997\n67663 68449\n14472 52789\n20642 41807\n6342 82172\n23247 30980\n10578 80376\n21861 22159\n7084 92989\n13463 29822\n74788 80963\n14947 31225\n51558 65738\n14800 15840\n58177 83207\n82253 99456\n37413 57066\n20467 99563\n9521 71573\n89853 96350\n16573 95569\n2492 77817\n34012 59324\n60926 69212\n14195 60601\n62742 92584\n49638 77238\n69779 96230\n46381 55791\n60230 94770\n73825 91060\n26233 47614\n45058 64095\n66318 87970\n91974 93799\n66829 68144\n51003 78707\n56667 85275\n24807 91291\n7743 87969\n42982 88069\n37722 53330\n54457 71550\n38644 43505\n464 65480\n10777 94196\n25661 28631\n41514 49838\n4147 83969\n8334 67383\n57821 75602\n15966 57204\n20171 94210\n10465 52579\n14638 31926\n12347 25548\n19844 52619\n12664 35543\n22071 91713\n15258 92096\n52440 55560\n50955 63969\n14148 52516\n11093 51756\n12288 74759\n15158 53094\n4758 84718\n23479 58210\n42216 58711\n15619 56739\n22092 90286\n9353 21858\n2074 80487\n32055 50669\n29511 36428\n1921 8817\n48407 51603\n210 22143\n24864 51960\n3775 14681\n32362 50741\n36483 69577\n34543 67856\n18545 68974\n12358 59134\n31590 75174\n78287 99610\n22672 50472\n51913 80369\n5766 32239\n71830 83808\n14278 54600\n45584 66540\n62745 97310\n45964 53543\n39217 84470\n8104 51931\n62405 88323\n57333 67619\n16054 73671\n6319 87805\n81071 90518\n21847 98105\n7546 61260\n78106 86804\n42176 96998\n67528 79554\n40947 94995\n68439 93865\n33412 55094\n15082 80835\n28458 78317\n18943 38879\n59092 83458\n58769 92899\n9054 54768\n86942 98382\n35652 87040\n26714 67895\n1218 91623\n72177 83838\n28398 88885\n37676 56104\n38275 77894\n28414 31431\n20753 55950\n12089 95443\n4564 44780\n56921 95908\n22539 80016\n6209 96199\n11883 88447\n15773 49931\n43968 98473\n65924 68513\n12932 49979\n6442 22169\n36984 37627\n56167 64040\n56171 92110\n73662 85274\n86978 87749\n32131 95494\n53081 62406\n26778 92068\n3220 13843\n29352 87569\n33654 50555\n46850 98054\n30590 67961\n8103 42819\n35622 89322\n13003 54646\n26287 45811\n82608 90257\n56956 84990\n24364 53380\n2658 35961\n5706 93073\n5812 73268\n85658 95271\n40812 60199\n78591 87540\n61646 77403\n77943 81276\n17435 35130\n11944 21290\n39827 52383\n7100 24938\n16351 72030\n13893 97956\n80973 94963\n56315 95967\n10833 53629\n45751 74317\n9800 23863\n11499 57684\n3107 35747\n30175 39424\n29433 29991\n10067 99650\n47693 89926\n7382 69818\n42960 69186\n51012 63390\n61371 83306\n39317 84665\n52603 83450\n19744 60052\n37197 47014\n11041 33133\n8370 24333\n69188 97368\n3348 84450\n58927 88601\n18423 71582\n36963 96764\n66629 81440\n15878 50764\n41866 62103\n69483 75864\n18628 72562\n2387 39884\n38236 90045\n41602 95296\n8243 18960\n860 88979\n82713 84132\n3874 96942\n9603 48886\n45455 96889\n40076 81363\n53077 92844\n52405 92270\n49786 75664\n9445 57621\n7150 80259\n50018 69129\n46857 59788\n9190 49264\n26438 67037\n29751 58770\n29861 67913\n14165 31388\n47933 89542\n2673 21496\n28087 94966\n33878 67407\n25798 94198\n5419 66066\n67057 75491\n27029 82551\n6303 92667\n48843 64984\n30553 32565\n12809 74270\n53772 69209\n12420 62576\n33409 35191\n5707 87028\n5549 46442\n21957 27212\n48449 81055\n61188 64908\n10209 22847\n98039 99119\n49778 78772\n29825 50981\n67570 73423\n28711 53201\n26724 59990\n48566 94638\n6454 75282\n36959 47662\n18752 72041\n29060 43976\n18409 91615\n71906 91437\n7476 62450\n37963 99646\n15380 92236\n17706 48433\n13109 54170\n4357 16457\n244 28240\n46866 89528\n19352 38265\n33482 96765\n15453 24346\n10416 76838\n42986 91066\n64050 80454\n26052 45578\n29045 34978\n35804 48802\n51893 84301\n25575 88583\n62544 84937\n2032 16362\n67540 87052\n34627 90584\n71521 98958\n64550 68532\n26891 73023\n74756 80759\n32008 86070\n15121 20205\n3284 74522\n32791 88304\n11804 80471\n95865 98186\n12496 52856\n17612 24318\n9727 71617\n5412 49479\n233 17165\n16111 90006\n54758 62073\n30094 69424\n63501 98470\n11218 56484\n60465 95428\n12986 56277\n5134 99889\n32350 41387\n74759 87389\n49414 68905\n7154 39491\n35513 87038\n56315 82456\n30892 32618\n66913 70722\n29729 88399\n61763 65259\n56414 84734\n15221 94650\n18207 81293\n5544 80838\n75893 92594\n10049 64436\n20524 54308\n30294 70944\n62359 63255\n29709 77770\n33674 59334\n42093 73810\n59507 94030\n28857 53468\n41391 85590\n59690 60463\n8361 29813\n28246 67334\n2307 81240\n49005 73701\n70378 86318\n43302 80837\n15148 22639\n40695 78610\n84699 89996\n77356 84779\n1739 9142\n34900 58282\n40533 67871\n18156 51928\n41946 97576\n33324 47161\n15056 89718\n29705 64865\n11140 90224\n58112 61996\n20528 26308\n24248 56346\n25051 40393\n1373 41554\n35499 38512\n20526 59385\n34194 74609\n20056 51215\n16242 67876\n3510 92865\n5946 98071\n32365 67318\n32301 88727\n41898 54499\n9563 35585\n25233 35963\n56863 79717\n831 41021\n9178 41079\n34401 84238\n65606 72424\n49414 89947\n11172 95490\n71103 99132\n2270 33209\n67755 68783\n81892 99963\n21639 89423\n13994 18247\n44312 70260\n66874 81668\n24626 97481\n30574 73448\n67011 82423\n53688 63805\n59787 63127\n31820 48420\n2671 27729\n70810 87792\n2652 77871\n14026 52396\n39375 78859\n37032 56260\n17350 71199\n3225 53986\n17432 58936\n75612 97004\n34408 46757\n77522 78914\n53095 80670\n59485 95852\n39513 47611\n36017 80285\n32747 60461\n12224 61285\n53500 78052\n5563 68708\n1767 30900\n48177 90975\n45393 45842\n25836 83281\n78589 97499\n48598 67164\n35519 61516\n17928 55580\n3052 98745\n18544 31637\n1450 65880\n16522 22935\n6669 27401\n51304 72520\n86760 98294\n15324 74643\n63729 87336\n65338 85917\n60164 71753\n18893 33393\n57180 74976\n29549 46674\n57985 85140\n39185 60538\n21207 85354\n15642 25578\n9486 32838\n17342 44030\n23157 72338\n46155 66028\n15262 23457\n23390 54534\n16769 20983\n80470 82079\n77633 89651\n81419 90138\n24941 84372\n22871 25453\n92875 94762\n68297 72372\n30393 34658\n1853 10769\n56822 91837\n14463 28546\n58531 90009\n1831 32955\n40594 60319\n49647 77648\n41162 89960\n34968 99767\n24004 71555\n7948 77401\n26818 59923\n30989 37053\n42478 89293\n64661 94135\n28283 90593\n6428 14863\n45396 96989\n21576 22346\n673 39999\n5368 22554\n22736 40115\n9947 81345\n22676 41931\n10055 53614\n65114 76737\n25413 88436\n22148 37400\n14001 53525\n3612 29642\n34798 67529\n61844 79332\n10051 53487\n63464 88635\n39940 71214\n52782 67688\n59130 88499\n37312 86451\n46372 71450\n57959 65537\n20262 38292\n51055 67449\n7424 47604\n13335 73235\n27671 82747\n660 6699\n1193 89660\n22073 79195\n9114 38958\n17229 87863\n5323 43909\n147 70491\n4580 35427\n23298 49900\n72970 98421\n27181 47918\n63849 65366\n30106 93618\n29467 68952\n13620 97704\n61351 63120\n35076 84919\n32567 99209\n27922 28754\n52415 81345\n8017 86167\n65955 72560\n5061 55032\n13074 70704\n48113 64927\n35251 41572\n9532 63650\n8083 65679\n32772 47687\n23480 28440\n21758 75429\n41393 52013\n1505 45618\n26803 55621\n26841 41698\n25895 97499\n16508 20861\n37513 82090\n56611 82228\n23495 62683\n16464 83677\n20232 32752\n11612 39259\n47787 69818\n36834 79586\n506 81625\n20286 45594\n24488 92540\n3580 60547\n60827 87217\n73681 98391\n51615 72762\n4643 24476\n44356 90571\n12262 89325\n5593 19101\n2635 29695\n12128 94594\n78130 89920\n29963 69428\n28112 75626\n8141 55759\n5888 16223\n29136 94012\n18301 46847\n10029 23777\n50669 94125\n866 79157\n16757 64419\n5221 34712\n73731 96863\n22965 64088\n48137 91744\n5738 74740\n74225 77175\n68255 80118\n8010 99130\n61398 86727\n12419 96275\n52088 79920\n33511 69568\n74469 97782\n16752 82719\n22386 89675\n54489 81340\n52520 55087\n20267 24396\n22087 45987\n22669 48680\n18775 41146\n58055 65526\n56351 96179\n70373 94587\n28683 83420\n15016 34212\n7606 95299\n21835 36680\n50028 70250\n31038 38709\n58889 61722\n35895 97908\n71345 88401\n62986 65181\n55586 84465\n3588 10055\n56290 66280\n1220 87909\n6464 83184\n17393 58313\n3493 8051\n40820 55860\n140 37331\n2843 29291\n28530 39426\n34909 69315\n62827 92296\n1025 66563\n36307 66575\n29695 33730\n51245 97876\n77629 88915\n76027 99634\n14924 31939\n17116 83855\n31363 38101\n9215 70713\n71013 82676\n70929 76592\n64501 88032\n41986 93924\n1775 66697\n13444 89839\n8310 22851\n47144 89809\n30470 93558\n6425 84345\n72767 83194\n1191 76384\n25297 98147\n16112 63954\n31624 58883\n29280 62895\n29929 34854\n86305 87533\n2382 77647\n39175 41531\n48086 98013\n21120 78542\n14795 77250\n5668 14038\n18735 71070\n23978 66575\n5167 95462\n44562 95780\n74697 77883\n5596 88767\n2307 57631\n36030 63046\n3782 98329\n3353 73837\n1691 93692\n10529 36071\n51739 71415\n39405 85777\n41250 99567\n33234 79130\n1114 69520\n68879 97066\n35456 58800\n30073 69159\n59413 61691\n60333 61531\n30658 58131\n66006 80349\n74280 78277\n55895 72403\n15505 38714\n23802 98277\n4614 23006\n10026 91271\n26724 89117\n22663 67796\n9276 72026\n7264 47405\n46187 69757\n32265 70897\n8389 14372\n90657 92494\n5257 63077\n19477 91903\n4127 17807\n29270 63030\n36952 54105\n45642 69062\n37250 45677\n12787 53607\n75009 95301\n51363 81630\n3971 32030\n27825 47349\n7248 49756\n18447 32561\n66752 74079\n60060 96472\n57368 92708\n41692 57425\n95746 97095\n58181 71817\n22466 23584\n31138 73527\n5603 19932\n39935 57870\n61594 65656\n646 66379\n3898 53319\n2112 80324\n52380 74395\n6778 94657\n39498 42292\n62955 89931\n2535 55246\n16084 29377\n62893 73442\n42075 84857\n8585 88704\n4168 55327\n76929 92842\n14163 46833\n20208 78314\n81626 81964\n32111 54792\n4320 36131\n36312 72549\n78546 85179\n7295 75950\n13746 96660\n25361 44232\n27297 68606\n45385 70709\n13593 80626\n45224 81750\n33822 75384\n77437 78248\n25979 73437\n15278 31630\n58418 88815\n47182 50840\n25592 35256\n66409 85346\n48152 49714\n11422 50840\n11819 85342\n15013 24973\n13495 57986\n22980 32420\n56633 96169\n5567 93353\n75844 87320\n46659 89184\n71008 94228\n39972 85167\n32457 54395\n4821 76547\n52756 55142\n34696 88778\n35990 53649\n19842 73032\n68778 77014\n72276 91100\n18482 98269\n91953 96484\n19508 82359\n42552 97069\n638 78295\n12351 53784\n73418 76214\n66634 89665\n19489 96787\n28238 45735\n10948 24169\n6861 20188\n32806 90042\n690 71289\n7711 58947\n68139 77384\n23393 31830\n4701 31978\n18697 53022\n293 12721\n7162 21117\n1731 38020\n57131 61900\n17307 48584\n5849 87359\n508 13037\n73871 80812\n62685 88779\n24045 96735\n16339 91472\n56997 82281\n28852 38557\n2313 55121\n2874 42984\n3968 57841\n24786 98274\n86325 99728\n21896 63339\n31827 95079\n19859 78645\n18119 21140\n4590 33993\n19417 59085\n37477 64810\n15651 25015\n6703 31236\n65042 71304\n28442 45734\n34625 51019\n78744 88288\n3961 30092\n16238 60740\n61131 81189\n28637 89456\n45354 60031\n49733 62102\n1148 93653\n9344 18570\n34646 63621\n6406 6692\n74516 96682\n8955 41793\n2016 13161\n28501 34255\n12390 50739\n25518 89335\n42024 95222\n89846 93061\n41431 56274\n24121 80158\n51265 72379\n11890 18562\n26238 48542\n64065 65810\n16214 65783\n50016 92517\n29399 52732\n580 74990\n50182 58270\n3051 12668\n14236 91329\n6285 83562\n27752 27765\n34653 69345\n6058 93141\n61627 92398\n28279 55087\n60266 91345\n43790 80336\n35706 93509\n17700 61075\n82933 95981\n45169 98889\n23729 75557\n37945 55160\n50683 75351\n29412 67230\n1352 20620\n57657 85286\n22287 67953\n5008 5562\n25012 60196\n83585 98209\n4745 67805\n38690 55803\n5406 39157\n6075 65506\n6993 70573\n48846 66650\n12408 23417\n12417 44968\n72590 86979\n75058 75170\n49808 95509\n54840 57229\n23255 95937\n58799 68917\n16873 88722\n52151 58165\n32396 71273\n33812 55769\n55661 57065\n46493 66584\n45938 79171\n19842 45905\n79182 81044\n16996 49423\n3747 82528\n33226 85116\n16326 92743\n27939 33805\n53106 98288\n57612 86121\n69815 70171\n13379 58837\n44455 63295\n26836 84436\n72151 86257\n20002 79841\n36216 58258\n27596 86749\n88964 91244\n27864 52163\n9455 30718\n43361 78246\n30475 61667\n51612 78349\n41658 91639\n32547 46756\n18267 71369\n88279 94365\n3426 16185\n34501 86735\n40097 56812\n18856 72837\n20358 46585\n49843 54023\n32496 34484\n58869 65977\n23457 68121\n12569 33508\n56750 60775\n69206 99121\n10595 63234\n28006 68906\n54545 66654\n41359 82863\n33227 54720\n2749 3760\n44439 83879\n19510 71103\n36383 89549\n44388 79122\n24161 94370\n40035 43392\n35667 82135\n48902 58504\n1022 62040\n28922 61384\n18883 65885\n83114 96074\n11606 84409\n26777 91974\n25508 25951\n47276 58587\n3612 30195\n16805 23072\n5254 50542\n54249 54879\n44056 51882\n23772 79514\n13233 30372\n2072 86538\n40880 44071\n4697 43422\n38592 61941\n26535 64023\n34450 94196\n27945 97013\n8176 61798\n58663 81722\n36668 48152\n10484 85088\n69614 85745\n2749 89382\n11223 48583\n19562 25082\n5449 49193\n42470 56295\n52932 69469\n20100 24113\n3863 14711\n11401 60528\n64735 81062\n55295 70551\n5170 50128\n44067 62862\n1235 9832\n56643 78002\n16137 46601\n10971 33407\n15314 61482\n6314 53275\n63261 94359\n51353 56476\n16132 20100\n71824 96718\n9844 17330\n741 78221\n48850 88260\n9861 44959\n11415 60959\n58219 85342\n60278 82908\n21003 47950\n23543 86954\n38436 48817\n24137 64655\n22705 66183\n37893 42462\n61873 83871\n20837 24054\n48227 87869\n12785 39084\n8150 13472\n27364 52051\n12975 64690\n1151 32741\n27131 93647\n10260 11102\n8978 14044\n29515 61855\n13559 92556\n14404 32916\n19772 66388\n17188 87176\n22129 28198\n48527 78334\n15770 73177\n12374 80920\n77465 78233\n77242 96922\n93515 99066\n24543 65144\n40837 60735\n21768 27476\n25895 99059\n13754 83815\n58987 63242\n61933 99304\n14186 84628\n52921 65983\n84757 91942\n80664 97578\n42086 92948\n70895 88251\n20325 80558\n58790 69922\n64779 75044\n8501 75817\n1241 30220\n26887 46409\n7696 92232\n36404 45082\n38427 70813\n38480 42188\n65633 79239\n31986 55476\n56059 73294\n25408 58561\n1115 3529\n22705 76855\n14617 85391\n22297 59719\n26250 89514\n63881 85946\n33023 75481\n6417 84830\n1768 81794\n84364 92904\n8259 46601\n64719 96251\n3586 72497\n28358 34053\n46319 84176\n66261 79698\n66427 98813\n63413 88892\n54068 93551\n14303 73122\n34153 41167\n53772 91624\n1901 86261\n53753 54350\n8413 66991\n23563 32982\n24577 27139\n30611 38287\n57686 77235\n80326 97590\n2226 89553\n20672 76750\n2341 25633\n38629 61089\n60564 90924\n35939 73943\n58158 93861\n37976 91732\n78083 93002\n6968 46639\n12851 83509\n69358 78621\n13880 44839\n82505 95034\n6085 89221\n43803 95195\n19244 28400\n22344 56293\n54004 81046\n35200 96276\n32640 64892\n69980 80440\n35062 51065\n953 84509\n3279 80736\n30907 64679\n2064 52283\n54811 84698\n26901 87586\n25363 90937\n23446 79256\n29159 38557\n23897 56813\n16846 21736\n6524 97830\n16682 35762\n50987 81360\n18014 78117\n86449 97453\n9081 41062\n54805 80119\n3894 38943\n18458 55825\n72797 86911\n14616 91223\n4215 97045\n676 15497\n1528 22805\n16658 35766\n2922 51368\n52941 77954\n40781 80556\n51644 60999\n39863 95976\n19501 43282\n23232 40264\n813 42333\n878 76957\n40276 97289\n39590 77628\n18820 56379\n5860 96728\n8001 68559\n51300 56333\n19436 41440\n9804 16015\n65916 81211\n33645 92815\n28523 87499\n57237 61705\n35859 58052\n17969 55358\n25201 28448\n43483 51962\n32697 99369\n43104 85784\n76693 96578\n10794 54965\n348 55433\n64690 93236\n25973 59490\n13020 84979\n21805 49750\n70439 72181\n2830 11964\n37107 37366\n44737 80787\n9472 36974\n44446 82219\n47466 68319\n61122 71079\n23524 85369\n48056 48797\n73584 77765\n35083 43416\n37287 76752\n4848 62857\n42703 71307\n15573 79815\n10362 13166\n79760 97885\n46828 53134\n37572 76426\n14111 61348\n20488 68100\n80158 98823\n4524 20631\n48214 62382\n45961 69006\n5630 80515\n54413 97598\n13589 92563\n18246 94178\n7103 46831\n15562 46401\n37162 60740\n26069 40762\n33053 91414\n3340 52404\n3464 4203\n71275 73434\n52713 80322\n7643 43143\n57366 86577\n69900 79148\n31040 96828\n40096 44082\n5931 81374\n26696 90968\n15445 59465\n7838 48208\n63545 88560\n39200 85016\n81898 95069\n12379 82386\n5923 7562\n10569 29194\n82872 99027\n59863 86304\n44241 83062\n14388 36555\n12503 22904\n17240 69363\n21782 51351\n41209 64597\n175 52797\n3794 34213\n74318 86380\n2507 6065\n17421 60858\n30550 36216\n14398 81818\n9090 21770\n16861 21692\n95959 99151\n7573 19302\n72149 73352\n40790 42882\n45384 60544\n40159 69015\n22984 61720\n49627 74142\n1104 43736\n25063 73362\n67609 70832\n45146 57947\n1209 3833\n48519 80140\n36958 78919\n23707 37795\n29136 60404\n68900 69128\n7928 24174\n69138 73551\n13 19715\n13784 28508\n12439 73345\n1742 42396\n38821 97653\n14818 31624\n55247 94961\n50176 97450\n87694 95025\n63029 64155\n3512 59536\n18585 35968\n4256 14086\n50261 70940\n9868 80532\n50988 76898\n35000 82433\n29311 57475\n17654 72870\n13613 39126\n56140 91806\n3144 52345\n96333 97715\n64124 82130\n11670 44651\n35432 75038\n28348 49160\n31614 70624\n22463 28234\n979 67625\n3954 10010\n9528 53405\n10319 88502\n56850 87785\n26407 92933\n8009 40249\n4816 67443\n50470 72319\n13376 74916\n28031 79110\n32597 84476\n39617 84722\n5213 71327\n64902 89744\n57394 99572\n55424 78470\n54988 77649\n16606 59958\n9334 93504\n20482 51240\n57378 71780\n71973 75552\n53446 71787\n16971 70225\n32041 95279\n46622 88718\n45438 81176\n39522 47402\n4558 72038\n13265 97119\n82793 92755\n71454 72861\n45463 47987\n32752 95620\n73170 94424\n10550 82972\n27730 77833\n35495 82880\n16376 37208\n18955 45440\n3235 66973\n18729 40779\n27615 38249\n55344 88747\n19716 80031\n55576 56658\n8514 15504\n22977 51374\n87105 94172\n7326 31289\n42237 72763\n1101 60342\n38615 93328\n51137 54126\n4646 12290\n14625 23125\n47474 54994\n73329 88793\n5685 95643\n52893 92633\n62772 85408\n5891 24666\n30698 66305\n49328 85357\n82787 89695\n22080 74703\n11359 39870\n88430 96842\n6361 18798\n27055 99998\n32785 48101\n46810 75118\n67511 77915\n26691 42697\n80727 99416\n1683 51329\n2840 56764\n37083 93325\n29318 36016\n67803 97152\n13146 18967\n78584 94892\n11892 55825\n57869 84389\n81033 90149\n42896 83409\n71177 99552\n29807 91820\n39309 50294\n57927 99190\n81742 86158\n58934 80193\n44945 72419\n2753 24188\n17403 35782\n2892 93938\n4553 58964\n17792 27449\n33962 58367\n26926 84626\n21097 84366\n5409 82373\n34434 84308\n38312 63902\n17142 37824\n39209 63613\n44476 98643\n32964 90703\n7815 34523\n25520 60606\n6858 47713\n5285 61999\n2455 24340\n8153 47708\n17858 25426\n11725 50232\n33960 90946\n80260 87779\n38470 59722\n4954 98320\n1691 71263\n44816 67840\n33339 72332\n40672 42835\n1600 90573\n37219 52573\n38820 93055\n24255 98407\n21237 40236\n2022 98440\n36158 91809\n56213 86786\n20151 56338\n43430 66013\n16880 81861\n50873 70816\n26250 65240\n19346 70609\n32327 91506\n19839 93908\n49470 56256\n15797 95431\n51731 85165\n64985 82866\n12226 62552\n33199 63494\n74872 86990\n18622 28591\n49584 94432\n63821 82057\n20555 77066\n62620 77929\n22130 94536\n292 83334\n17270 49699\n55582 61859\n12237 46608\n25712 73398\n18215 57725\n19708 96887\n42129 83258\n39676 54459\n20535 76180\n15637 77340\n8938 43365\n3449 45812\n53542 56107\n13924 68654\n41984 54214\n9224 78626\n87723 94980\n12839 46041\n38675 93311\n15193 50282\n13496 19741\n19070 21061\n19676 46125\n44113 65185\n49963 57532\n48570 71728\n83816 86148\n2399 20787\n50043 56973\n57488 75723\n8293 63202\n18718 47900\n42152 91967\n45948 69875\n42008 74851\n15091 34099\n9904 49631\n22064 82415\n29135 88629\n59051 92279\n60462 86406\n27717 89595\n2577 81652\n46668 62702\n3859 65150\n41939 95988\n20388 72369\n44550 92597\n66815 93247\n8032 93224\n29482 98001\n26349 75731\n6062 89659\n47010 69683\n38762 42917\n3091 87761\n4984 5424\n71746 93911\n35732 47617\n83897 98141\n21373 50754\n1028 44413\n675 33691\n58244 75914\n88195 97693\n13722 41460\n1211 22760\n34168 87070\n20224 29183\n39783 70639\n27957 58352\n32769 90463\n51490 91666\n40902 88243\n3861 66496\n73798 94303\n44804 58279\n36723 78923\n7435 70061\n3469 26051\n10598 78810\n48062 68137\n31453 40203\n58854 73056\n59071 90788\n10674 83714\n53072 84081\n40159 94514\n16942 82444\n34901 88800\n64783 71282\n29371 49951\n34710 98237\n21159 52006\n42759 48425\n8421 52645\n64607 83886\n67148 71581\n19572 32683\n702 31459\n48128 54764\n25097 50045\n9323 75800\n24204 86389\n38267 66044\n13721 31109\n21795 26637\n15377 18233\n26246 77950\n48510 55087\n35757 93814\n50093 56526\n73740 78472\n2975 68532\n23097 41132\n19886 55484\n24271 27270\n53055 70220\n34169 92525\n37044 76355\n58343 88262\n63752 97703\n11051 33409\n29241 61029\n20967 98069\n60509 81143\n22834 78716\n53019 69009\n8822 78706\n75580 91529\n21399 99583\n69255 91222\n10154 70974\n43320 77131\n43736 49495\n65106 82329\n39649 64578\n43545 57308\n81759 97833\n48102 87557\n58453 73104\n10626 15858\n23738 25261\n14482 21171\n61308 72687\n34500 40520\n61878 72447\n20606 20756\n59023 63620\n61221 61966\n37136 67702\n17091 68820\n17162 35400\n11787 18073\n84417 88868\n50480 84521\n18638 24665\n37823 82682\n35858 52032\n18936 85332\n28405 36013\n48051 82018\n30530 47433\n5101 46039\n3511 4138\n13918 88225\n78063 78797\n6033 65491\n48313 97477\n2903 87015\n33683 48081\n26029 94613\n79627 92554\n77288 79506\n22192 55934\n6007 88896\n7405 50282\n62012 96595\n53056 96601\n3527 17926\n10856 20934\n30792 37811\n49501 56499\n7023 12127\n34870 98399\n16064 19628\n41961 62178\n36863 70543\n3939 45300\n3497 50053\n38526 97407\n10805 25067\n74568 86484\n28980 51998\n71258 92601\n17451 62007\n83621 96098\n1893 95850\n34731 74984\n26539 38516\n24772 39163\n12843 24793\n15445 87535\n13042 85651\n22285 80100\n315 87738\n52970 67394\n7364 16869\n16243 88613\n16722 44927\n49632 95043\n48592 94981\n30915 81176\n63190 82731\n24268 70961\n4258 13046\n2395 24046\n1059 53246\n28811 60174\n3054 77633\n135 90671\n72986 77102\n68265 71840\n1406 95258\n52245 94087\n18183 34321\n51490 89685\n41784 93492\n67061 74802\n41877 84276\n43449 64966\n39057 68916\n12285 90596\n11920 13059\n8364 71906\n4411 96007\n9127 11723\n46232 65737\n39659 67115\n41984 70056\n72297 72535\n13979 61341\n21933 80512\n46997 90039\n8560 71487\n6655 94229\n21007 84540\n60519 84264\n22990 24185\n35433 71236\n31101 49126\n51670 95583\n49738 80020\n36618 37580\n42161 58730\n1843 82080\n68528 81943\n70966 90064\n19218 34382\n51694 76147\n20335 36958\n4763 50748\n35592 55814\n76456 86825\n58706 85007\n39246 94091\n40325 53888\n74692 89639\n94588 99491\n41554 41637\n66895 83686\n78402 99681\n64186 68763\n50935 87724\n15419 53192\n36151 99436\n25874 85503\n34436 41419\n23147 33420\n13360 85455\n75869 76844\n3831 25472\n45336 92058\n2417 68664\n56994 76571\n73335 87405\n22901 37649\n2093 13551\n18667 56490\n2932 69945\n25574 52347\n61016 84772\n5885 15215\n7853 78415\n7435 52465\n22713 28418\n15305 19495\n56109 77313\n66882 80149\n65611 71336\n88335 96422\n11872 38320\n53320 65276\n28229 77848\n3525 6178\n12242 55782\n42358 47891\n34701 71434\n55117 72203\n7791 50955\n57836 98428\n25229 31477\n6320 99227\n46373 59473\n52688 89562\n48346 73195\n9505 30932\n18270 60932\n32612 98310\n31986 34923\n667 93701\n2411 80270\n39827 66777\n4522 50278\n55098 88635\n1778 2511\n12155 95218\n75926 89773\n13442 17071\n45361 81294\n44595 83196\n22804 44117\n8454 69439\n55077 85793\n83228 96063\n16043 26356\n39457 72599\n37081 62130\n6017 88656\n5456 62728\n26476 30412\n63024 80369\n18843 64356\n30128 72271\n15649 22041\n8235 45464\n38866 76689\n4792 30963\n52228 70498\n19817 65131\n17900 73522\n74056 81277\n42021 96087\n45049 46694\n34067 82591\n13747 13938\n8368 23360\n4868 76551\n72891 77243\n1491 74897\n16246 31755\n5335 78763\n38905 40958\n46371 77722\n87912 99961\n33000 92352\n15153 90649\n465 28784\n29086 30749\n43042 78295\n28915 48017\n46866 62203\n65176 74693\n51337 54297\n54927 61082\n1509 11275\n39717 80711\n70536 73628\n48621 64370\n21522 87262\n12548 37078\n11194 56431\n39059 70242\n13751 47258\n30467 58733\n79534 86546\n10754 89232\n28243 36928\n31850 65763\n45844 57880\n68046 83015\n65481 94817\n11149 89508\n9544 47381\n7371 66173\n18759 70487\n37469 79457\n5205 35061\n15385 18418\n62835 86171\n17387 24590\n52118 74066\n92942 99674\n75451 77062\n1697 13267\n68122 76959\n10104 37632\n36924 97241\n90382 91500\n40567 44413\n41072 87705\n39806 65475\n54987 60282\n911 59774\n33090 87250\n11721 98324\n74117 99030\n60391 63580\n1355 67722\n75824 92171\n20526 86416\n12912 39836\n24956 50644\n20248 85281\n7250 22760\n70976 80924\n23411 78570\n72133 75057\n1360 27643\n40052 40173\n2805 36993\n41592 79516\n24146 84893\n73012 81805\n38556 44535\n65688 83146\n69119 75792\n32098 42907\n39737 95908\n8417 32945\n4357 69418\n43730 75064\n23600 94266\n8645 38609\n25158 40762\n8265 51582\n16537 82924\n37848 71484\n17064 71373\n22067 43630\n44566 96436\n67709 73283\n8923 9156\n19022 73040\n49478 59763\n9092 66013\n60181 94503\n3428 13599\n12442 74193\n19536 65240\n19108 50318\n15750 25807\n60513 82585\n12468 29606\n13325 21662\n98120 98613\n17439 29405\n42316 44574\n46545 88550\n10909 29109\n66733 69104\n93507 95637\n93452 95346\n85789 95387\n4323 6573\n53667 94647\n67385 73354\n51791 85144\n76077 79247\n27951 36820\n25685 54613\n36255 68971\n31853 70982\n11912 74826\n49241 61145\n34672 55127\n9802 85988\n2729 96607\n16609 73518\n69178 85702\n43363 94766\n28784 31185\n76368 83939\n1933 78766\n3515 41203\n32456 54763\n33572 38420\n38550 81801\n48591 94633\n70499 91397\n19356 67190\n8340 18587\n6314 23064\n40577 66373\n4740 79195\n56207 85980\n31637 43381\n34970 50011\n8838 56210\n19793 40440\n71371 78745\n5770 42835\n51136 60899\n13603 92711\n17975 31513\n39169 56869\n14379 31839\n50501 92925\n61649 71295\n17071 32417\n18374 96524\n34747 96460\n38452 76765\n23711 74457\n22840 93195\n36466 92543\n49044 52457\n290 97179\n11131 71500\n50296 89434\n36158 85059\n17174 76820\n66447 73215\n21216 39386\n28792 88273\n42080 69405\n33208 85390\n8030 55385\n21687 68073\n79973 89491\n13387 64240\n2828 60400\n58512 89919\n59883 71182\n40299 93435\n49575 95976\n50790 68744\n4578 51932\n28474 40808\n21438 24159\n32257 67899\n17545 90255\n10427 62457\n64778 85717\n47766 80952\n2470 74416\n7939 15260\n13158 56285\n53967 92263\n60145 77182\n17545 88914\n57296 97521\n9955 68869\n15047 89701\n10633 15843\n16551 44719\n42913 82883\n4193 93664\n57384 63771\n2970 9151\n31484 38886\n33420 80944\n46028 87433\n69392 86483\n64905 76623\n3742 82818\n90510 97141\n38377 46247\n31495 48455\n33898 36271\n17611 20843\n18115 30126\n32660 51103\n4565 73625\n1309 40646\n47453 67397\n45419 75639\n62639 65013\n81422 92763\n28262 38030\n43426 49448\n8234 25343\n4347 95372\n30922 45627\n4014 61958\n16403 77134\n63739 89824\n26210 57710\n43585 89891\n1742 11642\n32326 75228\n54437 89709\n24816 84776\n872 6162\n5427 19158\n35943 46733\n23700 54166\n20764 25413\n95852 96395\n68730 85148\n34903 38402\n22894 71982\n20459 81826\n43749 82305\n73536 92438\n34087 67815\n12809 62757\n7337 85009\n28924 75219\n68848 77438\n57804 96111\n5829 97380\n15467 40115\n34174 44873\n22348 71365\n7194 13729\n12449 58737\n51935 87429\n41711 56093\n91099 93153\n79218 85820\n32020 47339\n39584 76254\n22696 43408\n26444 57943\n32379 71972\n60915 73658\n60705 68434\n504 67503\n704 8371\n13593 69573\n11788 53486\n4696 33286\n50891 85118\n4406 15921\n36987 38824\n25169 27546\n12600 48926\n9060 15438\n2081 68797\n3518 55095\n61156 87061\n29147 58903\n29895 76182\n24066 77299\n9878 54023\n179 69233\n20502 85391\n12617 77799\n72683 96816\n2783 84404\n7419 96925\n18573 44264\n12777 18985\n37491 89887\n20626 22360\n41167 83853\n3169 97630\n35465 99614\n160 27736\n39768 68788\n58115 96827\n26624 44838\n59631 64630\n71159 92020\n66456 92362\n30330 49918\n22351 58640\n13490 14561\n37332 82951\n58241 63747\n21595 93687\n40405 66190\n11072 95545\n58034 93058\n61147 73446\n30323 49000\n32225 84275\n43443 79541\n13341 35026\n40241 52810\n42237 79148\n27452 82166\n11081 53255\n25526 35840\n24193 44878\n6425 27424\n36068 94776\n8903 39354\n91936 98997\n13451 46581\n27277 87043\n15224 31494\n32291 65342\n1707 13187\n10728 48908\n10418 53395\n6931 38265\n56060 90102\n43484 56315\n31362 48765\n37963 79953\n4733 57349\n22796 69526\n10881 46624\n29129 66542\n20946 45122\n19056 68273\n10199 68875\n9789 24082\n13858 49617\n85469 97243\n17635 79045\n67480 99887\n546 18383\n51583 88094\n33822 49724\n19381 67740\n13882 26102\n16899 19146\n91199 91594\n64877 81485\n67126 97182\n8916 37601\n3235 13846\n55681 65344\n21499 55559\n10494 56981\n24361 69928\n23199 83615\n74805 83847\n30625 50551\n3318 29767\n43807 98068\n6167 54217\n53277 81543\n1545 30618\n39877 84261\n16162 96836\n53220 59245\n62009 82084\n28836 56077\n35739 71090\n12031 18257\n5102 73955\n12500 82631\n37113 99437\n48962 82040\n41690 77748\n33889 60492\n33956 87162\n31473 92480\n74429 93033\n14193 48446\n60597 92937\n5227 54785\n52782 55187\n33330 82115\n17910 84941\n17623 74302\n4089 76519\n5458 95075\n20607 99741\n2364 46111\n25610 87023\n3778 94490\n65127 69762\n62681 79719\n33483 76346\n43449 59626\n9030 89134\n28113 64999\n61676 67621\n78071 81068\n38376 74206\n4878 70556\n19640 87072\n17356 50322\n9391 50835\n65232 74561\n48799 88919\n78074 81796\n17911 55898\n56169 58287\n74529 90920\n26536 81272\n38656 46043\n33353 47583\n48860 82782\n3021 70412\n23636 66859\n8050 45119\n35076 78613\n7491 40766\n14370 84648\n14007 34938\n36313 59062\n47937 85964\n24298 83526\n51818 69762\n3238 9521\n24929 72413\n48534 70936\n22078 80561\n62992 92115\n25740 70174\n22509 69428\n4561 99190\n57330 63503\n81542 82035\n51732 67724\n21005 42397\n42304 66521\n54910 99312\n64629 99717\n18053 24805\n3375 10594\n1319 6339\n82948 97167\n6193 58573\n9562 94087\n48226 64362\n27194 66969\n40669 74901\n34460 86805\n21805 68076\n10993 67135\n13562 47813\n10126 91088\n39675 42334\n15722 99752\n3954 97913\n28872 39691\n11745 29759\n28101 47744\n5806 59434\n9814 17108\n18951 86605\n45873 83557\n54992 92443\n47967 71079\n15561 63536\n16474 58012\n33253 70109\n16680 74415\n63912 84231\n39755 66897\n36202 88826\n35778 93995\n64075 86921\n39841 69843\n56709 87510\n53126 96015\n66797 77010\n17018 61416\n19035 19733\n31873 72264\n14958 24167\n29551 34409\n5268 10225\n7507 17640\n22438 53849\n11251 79331\n9285 36593\n17458 70222\n91060 96657\n38727 57039\n32522 78882\n9654 83104\n12626 80062\n24762 33976\n18228 76789\n57287 79740\n969 76095\n11122 25617\n32415 96558\n68394 74778\n54024 77438\n46120 80200\n54652 64014\n42747 83132\n3779 34488\n34995 79043\n44174 71406\n11064 81979\n22624 39149\n4902 7795\n37835 90138\n44191 93752\n172 13841\n45129 58845\n4076 66896\n24908 87535\n4905 75973\n53808 64525\n81028 94675\n11757 59732\n55046 56916\n11789 75652\n71606 93635\n15047 94519\n69592 83928\n15671 58544\n5790 12694\n35857 68066\n6146 88010\n51661 61768\n3905 4666\n73991 93787\n50204 52499\n6024 45773\n6711 87129\n54336 95735\n80721 94388\n43296 97225\n45559 89914\n11547 82194\n23242 51512\n77186 88332\n14073 62693\n27843 36467\n13095 21717\n46424 86876\n4994 81851\n46318 83214\n23826 60739\n10652 59938\n7421 29172\n4976 52785\n5854 46799\n76327 84961\n1405 73167\n22648 82809\n22520 61024\n829 43193\n38473 55228\n26459 77229\n38824 87797\n18049 63230\n43915 96906\n75335 76031\n11884 23137\n52107 65292\n11447 78127\n61007 64975\n56041 58650\n94498 95859\n41558 88679\n53486 69346\n34936 92170\n31302 52291\n29217 55714\n8578 90252\n47793 64057\n36797 94879\n50730 60217\n2920 17729\n20678 70697\n23035 83831\n52085 89040\n7198 90794\n64981 73755\n4366 66747\n69653 97736\n1635 29035\n30739 58901\n27674 60392\n5830 13001\n6432 21950\n40746 75278\n42923 45393\n67178 99712\n10923 69963\n2997 50043\n40834 59705\n18637 98330\n91545 94534\n18017 97320\n53779 97336\n13856 52524\n29285 92022\n92526 93217\n65535 92372\n2307 93091\n47710 67244\n39166 79375\n23351 65123\n32252 33652\n54974 99533\n21503 67898\n15516 38447\n32173 41060\n19043 59130\n44702 96426\n26034 39653\n1214 36768\n47538 59198\n70919 84314\n53506 95363\n45478 70543\n13125 44969\n7310 15899\n48979 60322\n4704 14882\n70949 89401\n17278 18289\n9587 48783\n54302 62130\n22272 58072\n51678 91672\n954 43569\n58549 72397\n48451 66816\n24939 58070\n53794 98277\n80000 83447\n6788 68301\n43901 78812\n12660 79297\n51130 68189\n5194 57874\n96011 97181\n14031 54726\n39557 45437\n22917 61355\n45926 68958\n70456 73978\n21669 70382\n10202 23168\n19250 79951\n53391 80093\n16838 62022\n36843 65326\n31395 64862\n17383 98812\n46227 74878\n1909 22535\n7978 44453\n19954 36093\n21303 91197\n26514 53138\n5106 29906\n1860 39468\n22599 66163\n41537 53798\n87482 96692\n29405 98935\n9525 98597\n53162 71024\n15995 54774\n34183 69540\n47376 75303\n29313 33459\n72757 95252\n38760 73656\n56506 70227\n61073 69362\n6888 18620\n60771 76228\n16596 39374\n2396 44397\n3023 86795\n67731 68788\n53290 99698\n12154 83089\n60095 95632\n36506 93146\n16414 95876\n53891 95905\n70677 82249\n442 50785\n30204 85963\n72136 80396\n6079 40340\n23875 31169\n56878 61370\n10594 26094\n28446 52215\n35350 87062\n66775 74984\n36585 49709\n30121 74174\n59327 95717\n22702 78717\n45238 60842\n471 78817\n24569 40197\n8217 24542\n41132 85409\n13527 80454\n79656 80308\n25886 26115\n72 85733\n3858 51079\n8977 30924\n58206 92286\n16662 99348\n66670 86908\n26008 33201\n28115 67943\n14989 52717\n2689 47533\n13819 99658\n16288 76205\n16806 22016\n16418 21397\n11960 12666\n28063 67173\n72532 85050\n53589 73821\n18764 52746\n5711 36592\n23891 90768\n45971 61334\n26676 85947\n6542 99142\n35064 73175\n51915 76178\n12472 24139\n36881 82500\n16783 52211\n41900 81779\n35805 93348\n6578 11521\n33088 58081\n2467 61469\n10901 89600\n32697 77877\n919 21145\n30660 48957\n8476 40070\n29105 75522\n3362 43604\n31201 37508\n20240 80465\n34353 42062\n1195 6324\n3894 40299\n3803 98288\n76235 87252\n35713 79808\n53619 79749\n66906 97797\n33728 48962\n67340 74358\n24133 34933\n73703 90686\n56642 95143\n5217 43600\n37227 98150\n19182 53280\n30319 73829\n18016 58240\n53908 89611\n56528 76123\n37115 50888\n44120 54179\n19780 36929\n8661 28624\n35261 77644\n12641 37391\n9710 35399\n35365 38980\n55323 87698\n31033 60922\n78409 89940\n34252 45197\n69886 88434\n68980 89170\n779 75356\n26528 88995\n8665 76291\n26863 89442\n1316 99353\n25759 56661\n31838 31874\n18881 62665\n38601 55770\n24277 38992\n27311 38137\n15701 46106\n4419 66292\n79618 93559\n22740 74560\n72010 87608\n38785 90389\n11721 80741\n54099 68131\n10153 64538\n13567 58345\n58901 91561\n20930 28370\n84502 99849\n43806 89298\n29853 54338\n1524 22100\n17045 63854\n58260 60966\n25400 75807\n55741 98988\n29479 57040\n51203 77166\n10948 42223\n36791 84179\n27135 81057\n45451 53292\n45110 55793\n42002 93767\n14067 51031\n31282 51631\n22624 49251\n47258 65759\n10432 51327\n5610 33991\n46368 54475\n13719 29340\n10623 25870\n61958 96344\n20127 34283\n55277 90405\n6499 47645\n62917 94788\n38891 92955\n76005 81991\n15825 80804\n59571 84304\n46798 91999\n16440 93796\n34140 36765\n35109 66118\n60482 95531\n5663 67739\n51373 77798\n19812 31037\n12776 70240\n479 98793\n6083 78434\n9525 74609\n75228 79528\n9885 17812\n35081 52567\n30451 58632\n39460 43462\n81340 82074\n13753 49344\n17647 26799\n21600 46579\n26802 61204\n66320 72157\n11632 33380\n75803 78145\n11794 59865\n81557 84768\n77447 95279\n13706 59550\n29114 46028\n6124 98482\n7120 95807\n44030 47942\n41808 76236\n2940 72582\n22138 72463\n69178 77180\n68043 81941\n11930 50655\n59329 83729\n70793 95957\n62656 80531\n10714 38069\n32350 87179\n42871 50752\n20839 52449\n43681 45616\n6481 14427\n72140 96253\n23888 48708\n21873 67449\n36207 91145\n30273 90957\n15765 61766\n32505 53229\n36008 42852\n13767 81130\n6653 85367\n69255 75346\n1149 44333\n49153 78842\n63524 74102\n75545 77234\n985 74588\n48049 82733\n4024 5450\n61342 81870\n56388 56808\n24 78996\n41098 61637\n52322 62891\n31734 68799\n50754 70078\n69515 73887\n80388 96072\n43211 45758\n77210 90246\n33742 49722\n54340 59670\n68556 89199\n65788 92243\n12325 57947\n75992 89037\n53146 95451\n28557 52723\n41173 53686\n54967 68413\n19363 80272\n2761 71173\n17005 75225\n3726 48724\n25723 46403\n43897 66897\n45038 58095\n19537 48094\n57540 66635\n11436 45007\n18249 99313\n61547 93679\n22536 27322\n18205 94216\n594 24883\n7667 48823\n50403 62520\n27924 89178\n13016 91060\n72384 73902\n11883 14454\n45304 88413\n15318 74452\n20884 89422\n13427 80705\n2089 20027\n76946 78319\n51114 60961\n62106 67549\n74276 79218\n41045 63694\n27912 54175\n31772 76657\n76383 98125\n10115 61044\n69098 94492\n69295 96971\n9068 61075\n43197 94670\n39277 61423\n34108 45430\n39688 48469\n8080 74629\n53498 54194\n5602 7529\n5601 85832\n21154 33870\n24707 48795\n27022 71657\n5941 16931\n27333 78714\n18946 73355\n51167 59672\n11021 80651\n49541 67069\n16600 75288\n14777 41650\n21457 28782\n401 2236\n26934 55947\n7920 10286\n29148 68200\n40526 73620\n9061 72546\n25868 69016\n2105 64705\n16981 48404\n44966 45516\n69491 95563\n6939 14227\n38577 71467\n60368 72865\n10966 60106\n38956 80563\n8341 29195\n33236 53839\n29247 88131\n5085 75348\n36621 83937\n10410 34049\n30244 46947\n9598 93246\n8648 99848\n43855 53859\n26650 80881\n11016 15331\n14185 88271\n70365 96877\n37773 43325\n4592 54176\n4091 34771\n17085 79021\n76421 82646\n31677 45791\n68473 99426\n33517 60710\n15935 46344\n16482 88233\n93261 95911\n5848 93204\n1501 73042\n18516 34524\n6281 76359\n9105 75096\n14857 21503\n31184 93357\n25322 30157\n31518 97580\n55029 96642\n45011 95407\n52153 70298\n21311 90806\n1696 10699\n13370 40849\n9247 29546\n8184 28621\n13909 26233\n47503 54426\n61533 75133\n14996 59608\n1736 31213\n67786 72781\n25088 25366\n77245 83388\n13141 39024\n23776 82786\n52360 81847\n38105 39823\n16436 35461\n54487 55113\n30109 92226\n50644 93882\n53147 94021\n60508 96518\n20182 51601\n9914 86913\n37977 50347\n38552 79344\n81444 94744\n3991 79483\n38329 92113\n86784 98009\n41559 58300\n16840 67829\n41715 76564\n46194 54195\n4130 79911\n43526 78689\n56496 59096\n17778 77493\n74438 89178\n5529 71843\n56813 90060\n31690 59776\n13454 36765\n37429 81731\n8803 12368\n36051 74610\n30557 85505\n20159 78671\n30540 96727\n23016 98558\n61716 65095\n49752 73079\n25793 46329\n26171 98048\n32418 33680\n35225 84458\n27653 64879\n13374 81218\n51066 98689\n30817 92824\n7743 45711\n12454 97706\n64184 72336\n81821 85060\n60121 80263\n14024 87534\n39032 85226\n16676 26255\n37408 88907\n20341 49066\n60760 83111\n12207 85296\n10572 80079\n6204 49352\n22748 41456\n14399 28103\n40993 74315\n6609 27228\n2362 87066\n13815 34735\n5204 58095\n15349 46836\n32554 82054\n39534 71323\n845 48312\n52414 82108\n83913 96526\n70674 77402\n56145 66661\n51600 75929\n3649 47039\n10940 16438\n59023 71851\n39984 94498\n24325 25882\n49109 71896\n30774 84096\n60050 96467\n46580 47484\n36909 37987\n71893 84954\n2405 8235\n64551 84806\n15954 29457\n44666 54856\n7049 9446\n3929 90373\n58871 92378\n32195 72108\n6234 99970\n46594 77085\n29403 86862\n12688 93394\n21084 44849\n81081 92539\n42388 44952\n50147 81867\n65490 66849\n56002 79416\n8397 19231\n49315 71296\n12513 37060\n1052 58127\n17265 46494\n44056 55399\n40486 43633\n20990 52787\n85503 87408\n40416 48678\n38139 90995\n55711 89695\n5615 19778\n44170 91719\n42544 82937\n1223 1804\n14135 81633\n33505 57352\n37830 65533\n31592 44702\n39939 49073\n12801 91317\n77997 87345\n15662 95911\n71100 94399\n4707 21398\n42424 84503\n19534 56022\n22144 54937\n4146 56502\n44238 89333\n37097 73782\n1562 44249\n12697 76439\n52294 56720\n50369 95926\n27304 48108\n9161 29893\n37550 75065\n63985 64343\n15649 17994\n30058 80544\n433 60462\n34783 49257\n4483 27162\n14629 60426\n35531 39297\n28112 69246\n44662 57931\n49212 68642\n22027 99922\n58302 91120\n15252 39490\n54130 80016\n36174 38973\n57142 65698\n29336 54460\n14649 49107\n4361 10625\n22740 99786\n34914 47301\n20022 98029\n64203 74836\n18866 64424\n58458 85242\n34607 75718\n32072 77849\n9349 86806\n25905 67781\n13115 77316\n53456 85688\n34051 40427\n9896 95747\n53410 86923\n30524 31176\n33234 62173\n35937 54112\n49868 65830\n82936 98551\n27895 40415\n16498 22808\n62697 65070\n7163 68335\n45768 49450\n40731 89441\n78470 99003\n59143 69389\n10326 97479\n8426 66345\n50767 78944\n8169 12625\n30644 72406\n35478 79434\n55608 83779\n2806 63424\n52762 73433\n80790 86445\n24248 31867\n36422 68598\n23722 96160\n13101 27703\n35246 48245\n21996 22567\n23696 68909\n24271 97187\n7423 58383\n34764 66913\n19599 72629\n13767 99369\n28272 29679\n23678 78384\n12192 23053\n79334 94610\n1433 27147\n38390 98780\n21490 59612\n21477 92369\n13069 53998\n68894 78076\n33018 68636\n9376 12899\n1245 5110\n35645 90610\n55674 96858\n55246 89977\n48030 74943\n2257 18110\n20910 60062\n32053 63120\n45185 84998\n6672 17843\n11475 20814\n22844 52647\n92659 92883\n63640 90013\n7756 37056\n11031 36192\n32338 91517\n18948 43622\n720 33468\n27007 89095\n26582 94592\n66240 76455\n16251 59981\n11879 56130\n23758 93793\n19783 41150\n4827 58617\n40949 65765\n7090 16827\n7425 79679\n11110 94740\n50217 58780\n13385 67307\n7346 89497\n34054 36640\n26995 86087\n27001 39103\n7985 33020\n15172 58830\n40631 73309\n63610 64705\n25439 69621\n66259 91180\n23534 72652\n51320 57156\n38426 86991\n47925 53605\n19571 29081\n83999 95493\n51963 76601\n37685 70073\n7796 77425\n66882 83893\n27036 64592\n28286 46559\n36184 75206\n46044 92704\n66686 88353\n7402 77208\n49526 81133\n1773 19365\n28469 79068\n17811 59476\n6845 70750\n64605 96278\n85300 95795\n21406 96268\n60580 98527\n83197 92295\n46369 65548\n1455 19795\n4296 46052\n94480 98205\n20232 74498\n75741 84249\n35414 90890\n38086 93233\n78555 85060\n16237 20122\n55304 76959\n43697 71529\n4855 93800\n66009 71667\n12781 93409\n68688 72616\n20672 72937\n20005 63073\n17054 34643\n20675 65453\n18956 59428\n37469 39034\n22923 87073\n5328 83552\n29622 31360\n18455 26984\n52076 54889\n38473 48600\n2959 10770\n69692 76503\n41387 77144\n980 35122\n25457 88923\n92851 96515\n10178 46141\n75876 84039\n18272 55337\n5912 41836\n12601 85624\n68179 84619\n52048 95139\n15677 39565\n70078 76591\n80286 89381\n43249 83436\n1385 53153\n16016 32428\n25683 46589\n65571 97448\n63854 69908\n28374 92205\n17855 54628\n18127 94494\n56386 96762\n21138 23031\n67769 86925\n63173 89633\n92023 96838\n84053 97828\n39841 45716\n3117 17662\n59638 78378\n28552 47340\n4553 26074\n40290 73201\n28320 47051\n66511 90200\n78602 90612\n74692 96880\n47827 77096\n11537 12001\n21860 30845\n67273 97742\n43181 54120\n83375 97436\n39692 57560\n35755 88803\n23422 93565\n14924 93556\n31948 98221\n27271 46890\n9674 52809\n972 96239\n28506 96878\n676 94096\n49535 55659\n65074 78270\n20387 22846\n31885 53985\n2922 25336\n51870 74444\n16521 92793\n31003 58199\n32069 75131\n38173 94124\n29287 31990\n26676 67670\n53668 65761\n34615 94123\n43058 87995\n14254 69804\n71243 85521\n42356 94999\n22097 37615\n11074 75229\n15669 69675\n57826 59560\n30482 93009\n31580 52751\n80862 90827\n38173 92202\n25045 71545\n34637 93375\n28183 89662\n58026 70727\n31159 63053\n4182 8257\n8599 25686\n52096 61143\n90412 92794\n88647 99893\n243 66230\n25465 37945\n19872 21034\n71030 76862\n323 33377\n62413 74658\n62818 84282\n2750 24615\n27355 28318\n53240 61545\n46585 87009\n23703 56445\n92982 95167\n81416 87230\n36541 66749\n4784 62283\n54213 76580\n36038 64347\n43685 50087\n14384 78528\n47080 48977\n18659 77870\n9322 86483\n14917 18764\n46789 74813\n13358 74601\n10889 17275\n42408 57461\n40670 72260\n49929 58226\n31277 77244\n7154 8381\n53093 79402\n66101 73857\n56605 96898\n94577 97785\n1955 85816\n32748 79073\n37263 83720\n10411 30624\n2098 76626\n87853 92194\n38289 83044\n12303 69639\n57757 67457\n22086 68620\n16272 21299\n10694 16233\n13118 45926\n20269 98572\n49620 55352\n1149 48657\n7809 40086\n70516 81818\n56599 85169\n1112 62080\n85717 94492\n69277 86213\n15760 45610\n56035 71674\n22850 38314\n34348 37424\n14511 61923\n9887 25215\n36860 74282\n4184 96179\n15935 83058\n41850 93177\n64957 88176\n28215 51244\n71644 92827\n6648 14063\n34069 80482\n32977 97371\n55776 90011\n774 54728\n16086 56881\n45854 51707\n1492 96128\n14173 20087\n7935 95197\n90914 92043\n25094 69283\n32582 65832\n60866 67566\n26192 58586\n2727 88941\n35677 71520\n18205 88719\n62121 70606\n13045 77218\n42596 85643\n242 90599\n20466 79595\n73075 96424\n10121 16017\n54579 84896\n22372 94728\n63647 70931\n59459 74018\n8613 38495\n15423 48443\n68757 90130\n32945 84715\n2647 52910\n91419 97343\n17026 64609\n16530 66808\n11156 45800\n1428 46344\n26543 84172\n6574 71261\n12720 31066\n35437 77554\n46432 92987\n29819 42363\n28092 52397\n2529 98292\n33854 93932\n35614 99546\n27194 45617\n28201 29634\n33674 93360\n30945 34722\n7217 95733\n29682 95666\n8716 23645\n8419 80723\n365 25704\n11104 47174\n27014 35344\n44259 93896\n5479 10584\n65263 75267\n2725 3305\n44341 71789\n774 41213\n28478 38614\n2790 11910\n52655 76503\n62110 69460\n27909 38075\n21481 62047\n14098 30905\n26384 59361\n9114 82331\n29349 95899\n28809 34634\n64146 81296\n5644 55634\n87801 91290\n42439 77628\n10474 48847\n36212 43191\n13725 96076\n54012 58370\n10443 55857\n14656 61846\n13834 58762\n36961 57266\n3009 83684\n36452 37270\n25320 53098\n18221 50511\n22543 69748\n25189 49422\n57853 60903\n16979 50702\n47660 60040\n85654 95933\n38259 63991\n55259 79642\n22655 41138\n2496 49391\n22492 95004\n45956 49047\n3243 93012\n42997 89012\n23725 50913\n53005 77834\n28406 97179\n68549 70682\n37350 70628\n45265 91033\n34284 54041\n5820 91507\n23116 97497\n38831 72405\n45837 78568\n35320 70622\n30127 92459\n8389 73063\n14433 68548\n14207 82724\n19246 23610\n71068 87164\n17794 79905\n31232 41672\n80999 89698\n27986 59895\n10869 23482\n34920 71338\n6452 44662\n59745 96785\n74625 80308\n52647 74460\n61949 87502\n74922 85858\n26781 64252\n30382 30842\n19966 94030\n63198 88584\n30162 33590\n6174 88705\n59178 74175\n51409 54000\n15868 72288\n9805 91441\n22580 60265\n1102 38411\n61408 71076\n1228 69755\n16706 80080\n4483 43129\n25685 74564\n5908 33324\n30182 73531\n49220 69204\n43210 72675\n57776 85048\n9513 23949\n69113 93448\n3590 19940\n16101 75183\n27159 51345\n60601 62913\n65090 74409\n25369 85710\n33246 82255\n20774 97397\n6022 8998\n49332 51894\n2706 38480\n37833 58436\n12540 67556\n56631 72830\n18021 18928\n16423 34567\n6993 65169\n21759 55635\n5747 53468\n1116 66845\n42997 77174\n16995 78790\n9737 80344\n20936 83900\n62132 85627\n18083 35511\n32274 41667\n27339 97073\n53358 91454\n40399 43742\n76933 86682\n21649 43679\n50712 63492\n19273 24819\n70464 91474\n5446 40094\n16891 78257\n22948 35454\n65510 93316\n21734 59179\n34461 98087\n24557 40141\n6123 29522\n10017 79689\n60566 93794\n29096 46267\n24304 81163\n14313 31673\n3125 82475\n85502 97486\n9384 61810\n14763 53041\n11473 99825\n19595 99644\n47394 85446\n23980 91647\n41595 95909\n12681 88831\n3962 90772\n45296 67339\n6202 16364\n22148 44589\n3672 26075\n5745 58094\n51645 58204\n65173 84797\n33398 85494\n69387 86189\n15350 55614\n16478 89077\n51434 96290\n2542 93879\n57039 83278\n43815 93000\n37453 91673\n70796 93468\n3014 13726\n3616 44544\n3565 56682\n15745 87619\n78488 92140\n47160 56542\n25792 38265\n6472 63374\n7876 66951\n51086 54323\n44450 45624\n34782 94757\n6488 64785\n34107 86715\n2739 86006\n54393 74832\n2052 31413\n27949 34942\n83701 97829\n2225 63341\n67195 95197\n47533 48401\n52441 89587\n2690 30470\n10564 89156\n23907 81354\n16320 42118\n26300 98344\n51871 68734\n18338 81476\n37464 73168\n23598 71250\n14864 39755\n8698 92584\n70830 71396\n23511 93646\n5360 18182\n34932 63394\n27167 39491\n27548 70881\n52008 83260\n5217 77571\n18714 33614\n37249 52658\n11400 48528\n73799 82669\n36749 46876\n41065 73768\n38649 76607\n7097 80060\n35305 68420\n47315 77710\n28300 45583\n20663 83466\n31116 77461\n60070 68196\n48902 55773\n71515 79980\n5125 30116\n40973 83940\n1301 69865\n33924 94739\n13641 88715\n75664 92035\n49886 62976\n13191 74721\n52277 61512\n78078 84165\n8390 11152\n19960 70422\n76468 77345\n43385 73770\n6382 56156\n21228 80429\n22660 23766\n49637 49754\n33905 34894\n51692 90482\n17025 36541\n7585 42252\n45889 91302\n7524 94591\n14596 57801\n62746 90480\n63531 92561\n46982 72788\n34886 53043\n7278 63856\n61663 79672\n10982 47120\n42794 95165\n84041 93752\n38989 71136\n13781 67965\n50832 78537\n17684 60455\n74888 84879\n22217 87202\n62355 71835\n44066 68222\n80918 94614\n28059 68962\n42806 92132\n3112 10580\n17561 99206\n395 3338\n54018 97591\n154 40952\n41148 47527\n33647 34601\n29104 53469\n26193 66227\n13320 97624\n10427 77948\n17610 83487\n27185 95368\n62091 63311\n47004 92761\n50284 86655\n22605 47708\n21020 57872\n11456 41301\n10157 74623\n6141 83330\n39885 96747\n43562 79976\n41111 95745\n212 2749\n17114 81718\n11227 34029\n51293 51799\n38400 98350\n10930 40279\n2238 72548\n60298 66452\n35228 41699\n895 7107\n66424 91181\n25333 72241\n9645 50232\n57423 97274\n65269 95058\n3345 48022\n27402 60934\n46669 47840\n22956 40129\n44809 58216\n21031 99152\n45923 98297\n24132 63697\n10172 63548\n12476 81135\n65731 90179\n55691 80506\n12902 53679\n13044 44063\n2438 81824\n1177 99419\n9113 24902\n3002 78164\n19986 47150\n13231 56877\n71178 72780\n85539 99538\n2328 46231\n28706 39746\n19729 65090\n15505 68871\n33703 88548\n24655 45480\n79643 87491\n31688 64143\n1525 27156\n7485 85931\n12082 94411\n29244 71124\n30705 63158\n2872 11000\n6118 42070\n3470 55993\n69028 96516\n14943 39062\n11475 85488\n72831 76096\n16597 48756\n47511 63795\n5480 78691\n11447 84206\n42344 65378\n55714 94334\n34147 55872\n38662 97506\n32107 40956\n4933 55506\n4741 59757\n33037 38954\n6942 44154\n10396 22201\n4535 85748\n11856 81551\n12739 50633\n13045 28681\n26827 36986\n40322 56906\n13120 78671\n55817 76317\n11230 75693\n16228 65213\n23409 82820\n33622 81005\n46736 80288\n26651 58368\n34906 71312\n29126 32494\n49750 97295\n41679 79999\n72708 80762\n63816 92729\n5683 77837\n13953 35298\n8079 57810\n15544 52471\n71178 92565\n10911 80873\n50735 98170\n30139 53044\n29352 75965\n16780 99433\n1560 7080\n33089 73680\n17139 68934\n14701 20785\n44298 79412\n22471 74701\n30587 53574\n42228 43012\n15110 34705\n51510 58378\n43275 72952\n24826 50358\n78397 94662\n48199 56381\n24616 43730\n26301 33854\n31803 51549\n49757 52563\n7973 15035\n23494 50600\n32500 40705\n38343 72189\n20783 48793\n38602 63938\n32705 55121\n10486 44195\n90612 99246\n69750 90151\n58173 84540\n45132 56779\n33190 96411\n26193 54753\n60095 93625\n42936 94933\n63142 92062\n15237 87860\n34030 58699\n76283 98229\n36427 54438\n24015 83454\n24226 94103\n17909 35274\n1408 31351\n30646 49386\n57296 93996\n20868 70468\n85035 94019\n42798 76031\n65676 84180\n31576 85766\n17704 27869\n47938 65347\n78416 88409\n44378 95512\n37855 46244\n23965 59464\n77878 79511\n72137 84749\n83722 85506\n51244 52249\n15228 85439\n14150 41169\n7908 34677\n72411 80057\n17302 54714\n82787 84640\n53961 63401\n10541 22964\n31569 34004\n9308 22576\n15478 86457\n50320 87660\n4166 75380\n27367 54013\n29937 52173\n65175 73687\n23767 27286\n65319 78358\n668 86633\n49696 50621\n2175 17476\n38991 93512\n34998 51094\n4559 82378\n13777 64492\n66364 74872\n54880 64163\n21814 79542\n57551 94604\n46393 75080\n28887 49476\n73986 91757\n33287 34277\n58107 81154\n4609 53988\n4810 77625\n3532 43534\n2311 24855\n60296 65139\n46915 96377\n35675 62377\n35805 60779\n80280 80587\n3072 63577\n46648 94512\n66030 86474\n4809 66070\n54494 69756\n8992 93329\n11007 12463\n28719 95422\n55659 56036\n18426 81605\n7724 35708\n20560 39453\n8747 93378\n29611 42775\n17115 36935\n30511 71139\n55577 83192\n29712 39775\n41112 52285\n4651 80926\n15713 45791\n63867 72618\n5162 35602\n46526 47030\n54597 81074\n32458 68083\n27865 59586\n35594 71701\n24332 38482\n22724 33586\n33066 90889\n36187 85341\n14410 84890\n65882 97147\n10672 75613\n8622 38218\n37110 61569\n84064 90287\n45182 77035\n19600 87665\n80016 93503\n39231 73527\n47625 91467\n78902 91199\n41067 92106\n55380 55923\n34668 39218\n11373 13142\n67247 84838\n13847 23801\n41191 64517\n32501 71929\n10496 81416\n92014 99128\n53665 61514\n84502 91870\n16506 64838\n47285 61243\n2055 40435\n39081 51233\n19737 46390\n21133 99878\n83102 97376\n49329 89950\n22409 98601\n20208 20245\n57767 74320\n53690 99754\n6499 33005\n23158 59804\n20640 86651\n2211 74487\n60698 95294\n5026 45195\n1801 59400\n21762 84797\n15087 50979\n58673 81653\n72155 86068\n55324 70508\n73381 94649\n3657 11473\n17561 73089\n56391 62745\n1116 70227\n12984 68787\n40720 62505\n84636 98128\n1886 5860\n48304 57703\n18482 70994\n44718 84585\n53676 58158\n20876 91342\n53775 82236\n33994 58248\n9371 39540\n16060 20355\n61414 75289\n56549 94935\n69643 74111\n11466 18144\n44394 87204\n18731 59035\n36381 76525\n34788 76684\n21144 68998\n26974 85162\n6970 65219\n8758 33147\n6950 37149\n55481 71052\n19711 76880\n32874 59116\n561 8159\n25060 77967\n48013 63098\n27153 73510\n16233 94787\n75464 81355\n75909 99946\n47580 56423\n48692 67145\n16048 51608\n34099 46827\n81369 84178\n23602 79287\n9299 55678\n4505 99222\n23855 55449\n18923 80358\n50924 74915\n76459 79826\n65079 73594\n26776 89255\n36660 71169\n1318 70771\n28533 94488\n54455 59760\n33864 51691\n67528 73151\n57811 74630\n3555 90542\n18651 53278\n14382 22471\n48259 83972\n46355 97088\n30407 44663\n29709 35192\n6729 83542\n58666 73616\n855 51299\n43524 77403\n44449 81156\n1812 98597\n75082 88780\n38680 45767\n47610 89581\n67224 70894\n69386 90184\n24804 84774\n2754 30552\n23251 47036\n49656 88758\n17581 98563\n49177 75704\n3886 47428\n67579 94122\n17431 93756\n21655 83483\n23273 49519\n15053 28279\n2242 34609\n30833 44091\n64581 75048\n12833 20578\n60863 66888\n29386 48654\n28271 77851\n4560 65421\n27706 84469\n1053 82500\n6893 35157\n38860 81799\n37095 98763\n65659 93968\n56577 61437\n27107 33686\n53254 94395\n48830 99065\n25146 36010\n41040 41045\n48686 89184\n47098 96135\n58963 95199\n10241 35941\n34553 93873\n2300 6454\n197 67131\n18921 52006\n10427 72843\n22457 61024\n76663 88431\n14759 30085\n3534 23422\n18974 38880\n34308 39808\n50574 63735\n74894 87864\n70972 97607\n51901 56335\n34819 72662\n24318 30897\n22534 98107\n32575 54517\n16186 58316\n64986 89100\n5250 27678\n42684 99102\n35997 45631\n11397 50857\n37833 48126\n16440 73720\n4068 67603\n11138 74339\n64548 69613\n6335 10967\n11706 77022\n39885 44830\n63476 98115\n6279 56568\n24503 75697\n32113 43204\n70702 83426\n32620 57737\n63373 80516\n60443 91903\n18628 74555\n19506 59272\n32201 57148\n13079 72333\n71008 72072\n46686 47068\n45099 98347\n30084 43022\n26933 63233\n4634 24728\n49302 99737\n24695 47609\n31740 97389\n29855 63498\n21119 36727\n28076 67208\n16537 76612\n45250 73907\n70739 97690\n22368 91917\n32329 48651\n12161 87601\n64893 94329\n26427 90557\n2257 36563\n22623 55841\n20338 84693\n73131 86310\n51606 73818\n18051 38816\n7305 32034\n26559 39427\n32538 74366\n32335 93388\n33135 64308\n16011 49809\n34033 70487\n3121 99176\n18942 39364\n52184 66057\n41944 77235\n6758 67584\n27533 86992\n35433 98920\n15097 63770\n11749 48323\n55127 96946\n39881 79425\n54007 72082\n47293 85725\n32210 85805\n51812 77874\n15333 55911\n18455 91074\n36138 51161\n11526 13121\n4936 20805\n16118 63249\n34200 65741\n89468 96286\n85715 97455\n9235 81525\n30361 95469\n25192 97717\n1154 73143\n32935 81347\n58385 59563\n10256 12053\n55438 92468\n12651 55898\n22150 41576\n46451 55668\n34438 46684\n1448 96249\n812 50391\n29447 66802\n29834 66736\n64028 86461\n65360 79869\n5078 19201\n47361 51957\n662 41531\n27859 42938\n85479 86943\n7557 12729\n1244 95748\n75201 98280\n14869 81304\n45667 50966\n1722 87483\n31998 80435\n13761 35688\n65025 71737\n52848 90753\n50555 65035\n10114 71037\n27956 38793\n3122 24607\n23806 84916\n51387 72940\n32285 69495\n64170 90066\n61638 65220\n64657 94745\n49653 51691\n7319 83458\n14862 34404\n3124 51452\n10808 60766\n24999 33849\n21219 49029\n36524 54101\n3601 8213\n2382 20648\n37332 71996\n12161 39449\n13367 97944\n21476 62653\n55244 78252\n21755 27899\n34676 80857\n4264 48731\n22832 37641\n20335 61842\n2177 83199\n55161 65049\n4325 27976\n81013 95376\n13372 76659\n56261 82051\n16880 64937\n43820 49486\n74414 91211\n30204 54042\n31003 87511\n68937 85023\n19016 26647\n45247 97542\n48775 60123\n31502 87761\n13217 80500\n44385 74565\n1080 57774\n24108 86505\n34417 45253\n61869 89387\n35546 63942\n63184 74201\n53728 56913\n18438 28032\n67135 78184\n10065 96518\n56282 85227\n7802 17859\n3257 60206\n22140 95345\n58045 62734\n18649 36977\n32452 66919\n54472 66158\n24301 86489\n26029 78831\n25832 60944\n21184 96045\n58831 71402\n58587 73718\n85625 96540\n44868 96262\n60836 79956\n58585 94562\n24101 33628\n67252 77632\n32037 85462\n23797 60504\n92698 96509\n55301 65024\n42750 49465\n10673 74063\n48019 76626\n70099 81737\n43655 84877\n71551 83566\n65074 94122\n11250 55482\n32356 95557\n15995 17063\n2251 14435\n12827 63708\n26847 28029\n2043 84640\n20393 80253\n76222 81067\n8520 12382\n27437 58146\n16889 49253\n13836 93126\n19847 57488\n28600 46912\n19795 38246\n21116 77050\n9948 55762\n3669 90008\n6741 80374\n54445 84174\n38269 92700\n42051 44908\n2670 82550\n92371 98696\n19441 75608\n70006 88545\n46043 60193\n39856 96968\n1607 51043\n74559 78593\n24042 50708\n43435 60705\n24180 61665\n75209 90163\n57927 89996\n35828 55905\n29182 98049\n42857 94375\n69351 69759\n15701 69256\n54604 66445\n16258 54206\n55729 90379\n36160 99300\n48128 83070\n11273 36598\n56787 96891\n3924 81595\n10456 65302\n11100 60004\n25086 37861\n14994 34195\n19631 63056\n31780 83391\n74995 76851\n50556 65140\n14689 75243\n26411 51240\n70800 81253\n29764 36081\n6392 96850\n23372 78484\n21957 48068\n49089 66353\n35115 61292\n4300 95497\n68072 76887\n56855 58755\n27920 36051\n5999 22282\n16388 89398\n41278 69611\n61582 84468\n42130 79295\n19350 68551\n19703 25604\n7423 26229\n8591 50937\n29064 86208\n16617 28888\n4412 98378\n8610 67539\n18522 74084\n3675 87377\n11072 91166\n42367 84813\n64331 74966\n2764 71081\n80191 86709\n67699 80219\n11903 70291\n23577 78196\n28684 76535\n63196 98744\n43711 58975\n29253 85583\n65850 75471\n39336 54779\n30169 55720\n40337 98919\n4184 39487\n33087 37099\n12298 13866\n59431 83779\n11165 37463\n52103 91280\n10084 63427\n84817 88824\n12360 66927\n31244 40797\n24490 77465\n49036 96528\n68020 78303\n60616 94157\n71822 93445\n5369 5387\n16405 41769\n8986 43669\n1453 18653\n29070 73165\n24244 79781\n41457 50837\n15002 20093\n19814 80377\n792 32132\n29226 80249\n13072 84733\n41977 74662\n74008 88869\n32576 56154\n80005 88160\n52731 74770\n68961 86309\n7539 47112\n48198 57989\n12550 77547\n27747 95097\n38307 80288\n8032 40083\n1997 94709\n70351 94763\n21572 63337\n56852 60764\n32543 43351\n748 25822\n17738 44469\n64741 91838\n32826 96624\n19260 63236\n11977 67674\n29245 42166\n11379 40534\n74213 91709\n28772 34480\n52390 94378\n10442 12086\n73698 98982\n25730 74323\n72391 77429\n71440 96450\n31470 64825\n8563 33866\n7449 28289\n71644 96429\n57674 72351\n30271 70525\n92281 95546\n53740 91981\n664 45562\n70096 98663\n37766 74683\n65971 87294\n363 38499\n38570 49934\n60081 83206\n59972 62040\n9890 50904\n21275 49355\n90946 98008\n19670 37439\n20570 83683\n43017 56841\n41018 51878\n32256 96803\n7074 91997\n61785 79125\n62187 74957\n22023 24127\n17340 45163\n67661 76162\n72629 97103\n11129 47560\n66876 93149\n32518 35518\n70952 78353\n36127 40077\n13709 41552\n1873 9791\n30172 75187\n31424 74469\n64905 77806\n1084 2320\n32681 49827\n50495 97575\n74410 86762\n42181 62392\n7376 14090\n49728 74424\n25428 72269\n23109 54294\n18375 32522\n20474 88078\n34787 69358\n18439 97161\n73569 84706\n29803 68077\n25805 59724\n21816 88718\n31457 95049\n54950 97846\n20457 91662\n87256 89149\n27501 37411\n1948 56714\n19967 33106\n24144 95986\n30266 53548\n29628 56519\n32355 99902\n49201 93837\n13760 35265\n62249 80902\n3476 19673\n57392 65874\n49081 94749\n39820 75361\n8656 68805\n6824 54069\n43598 85842\n14910 75312\n20041 37380\n18658 20605\n3033 59489\n9121 9377\n7170 80734\n8586 50992\n41667 57197\n2872 42002\n13181 74147\n62434 90836\n22802 67084\n1516 41910\n56747 67377\n10337 36814\n45710 79573\n1222 49876\n63351 93644\n3803 98164\n58368 65822\n9186 63769\n12381 52166\n80163 88844\n22795 92961\n16846 53450\n43805 85066\n45373 94905\n14479 41651\n1576 73798\n33711 77534\n39424 73220\n10425 72641\n18658 80560\n13343 38048\n55658 64165\n7192 16177\n46294 61071\n18380 77149\n621 75542\n48120 84256\n28349 43860\n5540 31695\n63592 75084\n42699 69587\n38232 68963\n46324 90030\n1141 8201\n11954 71500\n17521 28444\n44801 72924\n23103 61370\n58906 83297\n39184 99616\n15647 16002\n32403 82077\n28705 37578\n9955 36953\n23822 27651\n51127 68773\n10025 67011\n35496 65974\n61801 75789\n13047 13934\n23842 98211\n66856 70477\n43141 92560\n4776 93555\n41589 54561\n12282 62641\n16225 94935\n76086 81184\n25002 61912\n33073 47074\n15618 41320\n55793 59451\n15227 66210\n31668 46932\n70259 87749\n67772 82693\n60293 96145\n68020 98776\n34595 82499\n3180 66860\n6032 83151\n3672 65273\n66177 68941\n90305 95152\n16013 39072\n17292 51155\n9530 27010\n83989 95101\n19160 88769\n54478 75632\n33468 48604\n74939 92628\n32945 80178\n48557 90624\n46546 89630\n37077 42792\n17749 23528\n58616 88925\n81011 95178\n51434 69674\n44964 91076\n8885 40260\n9223 14604\n9252 89472\n39343 92136\n6184 7471\n27869 57285\n41422 80553\n18788 39806\n26428 65250\n23467 71643\n67921 73971\n31358 65674\n53232 73047\n23717 50738\n26187 98759\n10696 33520\n4266 8212\n16584 30770\n1867 85127\n81542 92774\n53239 53958\n2182 45606\n4463 91666\n51972 65255\n67091 73765\n9231 71168\n63674 80462\n32684 73241\n32623 94967\n23265 60215\n14264 79355\n793 76698\n28248 80779\n22767 60673\n3034 35622\n14087 15765\n18807 34754\n25582 47691\n26228 56248\n84884 91339\n29599 59675\n30783 86091\n69625 83313\n59065 99332\n31514 86701\n13901 49727\n22623 94337\n25020 82316\n36524 78886\n35279 36397\n33007 61341\n37367 50767\n7201 69404\n1826 90960\n86657 96039\n21032 31361\n2282 85101\n12885 91063\n14431 15000\n6177 28796\n18752 84804\n18812 52661\n6693 90171\n14950 36139\n83953 84430\n32208 89210\n17762 78566\n61395 77014\n74695 99703\n3156 23979\n21629 64126\n52557 61839\n22847 87720\n46900 75511\n19587 73486\n12569 91244\n19195 68581\n23687 52751\n2788 86724\n13056 14037\n39340 39414\n30132 64374\n5985 34320\n7243 13793\n62860 66507\n7714 56985\n4408 81430\n65513 70193\n61728 88557\n21823 72738\n34027 52129\n3064 83833\n26857 52594\n72164 78003\n29115 36882\n2071 18741\n45149 58328\n36928 92969\n60986 73339\n49722 74716\n60055 67048\n63336 75205\n26407 62914\n34504 54475\n38859 82552\n13596 27821\n11390 54450\n24871 44393\n585 52078\n48569 86882\n1417 94975\n4460 24935\n1365 80334\n26606 83441\n2891 34856\n42708 56529\n83751 98017\n8567 41011\n18615 46065\n9344 58792\n18613 88950\n59306 67018\n2396 70634\n24955 44386\n5047 5861\n65149 78487\n30537 65127\n42388 77065\n40453 94607\n74710 81828\n1831 15176\n38256 59197\n32059 39192\n45849 88656\n1125 6969\n16876 19339\n842 26825\n12613 71691\n4863 77084\n9316 91862\n49237 55456\n32592 36859\n13748 54537\n79722 96350\n5516 72432\n23565 33457\n1698 69085\n16720 56054\n14837 51711\n63704 85044\n44236 76826\n18610 69247\n46407 96153\n15395 57656\n49436 90829\n52665 56547\n62123 87203\n89385 91420\n43274 75050\n4855 26202\n51096 65489\n88999 89367\n20915 43339\n34759 74875\n87920 96360\n34935 67860\n37356 57586\n70998 96075\n33033 88624\n20973 59598\n71185 76683\n17562 67901\n70896 90095\n22898 79612\n29783 65380\n34463 55192\n67278 97715\n670 86860\n81864 85314\n13122 76244\n29321 87317\n15126 97131\n10096 57479\n67753 84141\n61572 67213\n28234 30346\n63915 82875\n17734 51562\n14580 59431\n57249 71315\n17258 61991\n58311 67330\n31530 48548\n36826 70584\n27217 36449\n81860 94397\n82178 89425\n39141 68943\n23023 31811\n16400 46643\n1068 22131\n85091 96818\n78086 96274\n54540 88239\n63356 81971\n29680 43693\n3540 29448\n24660 34265\n27440 62623\n13803 80498\n35770 98188\n18068 89341\n5791 77652\n85991 92997\n809 39727\n42581 52261\n4236 25990\n35962 44478\n44016 53373\n57591 98849\n76414 85987\n48088 74898\n53347 89694\n49150 80059\n4560 5493\n26863 42134\n10004 39472\n8973 52229\n20844 39939\n44 91392\n3985 56332\n17884 32648\n40119 75536\n36674 89015\n1869 75009\n94962 97511\n35203 79274\n72508 83092\n78805 85059\n87064 92834\n17379 39849\n9530 27929\n18487 74731\n47100 70726\n68493 70520\n10174 61756\n62811 87163\n36139 78770\n43302 87224\n15322 39398\n29616 42137\n10716 92111\n13892 85747\n13184 83815\n5080 88704\n51869 79194\n49440 92312\n48142 77270\n14097 30685\n25381 46066\n11549 55627\n63945 68806\n44298 67605\n27643 58969\n17152 24607\n2436 35848\n21422 72026\n28280 53909\n37267 91493\n1169 99719\n17891 97342\n22675 96222\n36052 89378\n59403 81745\n47015 85338\n32807 53358\n44690 94958\n869 22107\n44886 48860\n11681 91838\n8584 68209\n29129 74768\n74950 85223\n59779 80667\n41918 73443\n32394 60578\n27504 98993\n28348 33892\n13981 60012\n26219 48842\n9424 44208\n16534 55207\n1825 70461\n21564 28965\n22244 70621\n37498 83807\n29211 48566\n9171 98040\n27055 94691\n2990 55299\n14432 88995\n59124 99007\n6585 59871\n11593 23663\n43162 63470\n36035 68337\n13497 46988\n12032 21099\n45064 70079\n31351 59090\n15041 78749\n28934 54398\n12709 14907\n31185 83225\n26686 37373\n57887 99948\n12689 27318\n23731 65393\n19995 57092\n48866 53597\n61006 73417\n11054 53295\n41971 43362\n64763 98224\n19507 25088\n5848 93016\n18185 81239\n63772 83348\n41053 65954\n42996 49235\n117 83843\n10638 49131\n47053 66898\n72074 79135\n48245 90430\n87128 95882\n48329 57634\n31944 44474\n87979 99082\n5524 69780\n13606 60259\n29137 84293\n805 80918\n10928 26536\n23027 97875\n5706 64354\n65956 69886\n44898 73525\n40934 94050\n38815 66978\n4859 28994\n51282 84189\n51933 54230\n90683 99755\n3681 76691\n17204 92311\n67203 80831\n83685 89659\n77342 89745\n1083 27732\n8118 48301\n65805 84083\n12173 26716\n25292 66723\n31330 33990\n45662 79196\n14300 63176\n43003 97033\n65254 82248\n63490 91336\n56991 69110\n12851 48111\n38935 39060\n22147 83411\n9639 49523\n2557 75771\n46729 64763\n64807 65254\n1679 77814\n19140 88458\n63283 93688\n10105 21524\n11408 72871\n56114 87644\n20509 61295\n16078 57901\n76538 80016\n49541 82701\n73663 90284\n85109 89017\n20662 51180\n24603 51958\n18728 60252\n2718 69667\n59504 94311\n41826 83228\n8810 54564\n37867 89178\n17027 28891\n58802 59553\n61141 84855\n14350 66226\n63282 90807\n46415 88839\n69191 96770\n28844 84777\n10876 95743\n45880 81670\n54362 97972\n19438 58986\n757 56711\n9540 45387\n3763 42949\n11312 66732\n27130 61304\n41548 83882\n22478 97194\n38964 58995\n77209 93126\n67363 84456\n6258 58142\n35250 70769\n1783 85520\n44570 51018\n48707 62306\n28806 73443\n40841 41503\n2852 59000\n69825 79260\n40411 63056\n29532 32808\n25535 46882\n8621 98812\n83544 84617\n84296 98577\n79566 89309\n5973 36953\n6033 15242\n47391 92011\n47974 52300\n5943 28615\n3581 42466\n36980 67194\n63842 95511\n20831 44111\n61762 98056\n57702 78624\n53757 57051\n26256 88674\n50001 51404\n33044 45686\n26102 92403\n47123 87886\n22829 70556\n9526 45251\n36206 99832\n33019 62118\n58913 89544\n73091 88817\n19167 65138\n47119 97056\n11028 69549\n8068 82916\n32378 86369\n19916 79820\n55288 73580\n2959 34207\n8083 89579\n26538 62101\n34512 91559\n2765 30511\n67521 94629\n1864 89267\n61881 90420\n93277 97017\n22566 41912\n63530 66469\n78563 81788\n17586 76583\n18471 61193\n41568 58410\n23628 90002\n61775 81327\n80057 92508\n8246 25146\n69665 85457\n12569 54107\n79467 87093\n42197 72754\n46545 55112\n5513 45567\n35365 51734\n20969 37113\n67249 76255\n11768 23562\n61660 62074\n27962 87556\n21930 70493\n30615 32303\n1461 71938\n49030 86607\n23243 91887\n70372 80157\n39339 81592\n9123 62292\n57750 63590\n58194 76558\n6643 92629\n17166 21753\n13219 56692\n14147 76972\n12421 86404\n25058 25541\n20144 90034\n325 58237\n72160 76104\n62670 86797\n66567 73269\n9179 14968\n15109 24526\n9580 56733\n39082 77729\n32027 51599\n54783 71649\n18456 59165\n2705 20889\n56803 75462\n74977 78095\n27359 36140\n17547 39913\n23785 33149\n21154 39665\n60567 85332\n83604 85688\n5160 35113\n60981 91628\n14688 68716\n10017 84090\n46093 79841\n62018 67830\n31101 51817\n29789 75492\n3590 93978\n406 48871\n66696 81953\n38314 72522\n8623 80256\n32167 98710\n22103 87801\n10866 12181\n36631 82462\n5035 89157\n14289 69512\n30880 77827\n14340 95389\n32807 39437\n34513 40328\n16592 38086\n3282 21034\n33417 65320\n72390 85179\n27605 65776\n19125 92202\n6502 70430\n3505 75011\n6571 97755\n3400 21393\n29577 69833\n27389 34768\n3367 82041\n935 62211\n41655 44398\n34839 46802\n82727 98631\n5059 8592\n13066 18592\n10518 42834\n65572 86439\n31098 37411\n15323 17915\n24289 89350\n3371 18827\n8754 44403\n36217 95993\n39392 95932\n13058 18197\n7265 93791\n78621 97952\n66505 94571\n42425 58556\n50600 98263\n16011 89255\n22843 35130\n43021 53893\n35265 59793\n36072 67790\n4852 23981\n10623 20796\n13957 32014\n14270 77165\n70698 94914\n82230 97759\n44352 87533\n24926 80268\n28157 86598\n12931 38818\n49240 52251\n13667 89262\n11326 51049\n34519 84719\n33213 46828\n10441 37168\n43697 63690\n22208 31795\n41998 97709\n32508 94399\n45448 52879\n42975 97610\n40003 48009\n3062 86322\n28606 67363\n19416 70340\n68046 80912\n5594 86886\n2916 89424\n42598 74172\n6707 42468\n36527 91087\n47422 77896\n60407 69691\n29496 74052\n1801 62982\n31052 88065\n84652 98133\n27755 46247\n63869 66607\n84398 90126\n77259 88856\n57575 59946\n5103 20988\n13569 30691\n29324 77307\n7947 87445\n48977 82945\n6057 53115\n48269 59181\n74496 86032\n64226 73679\n4363 48600\n48358 65493\n82715 84341\n5668 20456\n692 87191\n25794 97365\n17406 66809\n9567 96683\n32572 77008\n19360 82904\n27104 75175\n4615 74928\n87321 87585\n9301 22627\n16580 85395\n50201 61876\n37500 79680\n18814 73162\n25776 51450\n6115 63241\n68840 83502\n66333 93122\n243 67224\n41661 99210\n27100 99238\n4057 90300\n21397 54579\n40253 45454\n468 26905\n67030 95967\n11989 20120\n50534 57089\n2303 12168\n71638 99753\n82989 84741\n4109 17741\n8061 41157\n49225 67503\n22114 65389\n29210 79517\n40259 49526\n3665 70144\n65923 97286\n59454 69856\n69398 93371\n43318 60858\n21167 28457\n62082 95496\n64362 69918\n33519 70062\n80228 83147\n70975 72281\n90825 93712\n11317 34142\n58368 98687\n39220 94663\n44536 84765\n15094 54816\n46239 63834\n40600 62774\n40164 72651\n51231 63326\n19399 95330\n13520 36500\n30365 38955\n20860 82784\n61378 83688\n2611 98044\n88916 98839\n26680 28265\n12024 82536\n22713 51104\n24105 52981\n35174 62626\n13816 14704\n1193 61665\n9968 64866\n40089 89952\n13110 69691\n19788 36513\n43941 65527\n6085 28478\n49275 83588\n48261 65279\n28527 54881\n22708 78632\n44965 78127\n68271 85213\n14902 34489\n16840 72639\n15225 30527\n1577 73123\n16816 17903\n86666 89404\n15878 47510\n15811 68752\n24495 88267\n6335 7939\n8747 96712\n9082 93154\n14018 63018\n27341 74012\n29504 86478\n69725 99316\n4061 85005\n18263 75682\n18707 27289\n81845 99401\n90955 99603\n18896 55141\n17853 40585\n5113 83609\n19091 41490\n38827 95349\n69619 78335\n43308 49594\n71291 86127\n28126 33606\n38587 51810\n15164 37450\n15078 61983\n69898 86056\n31697 62560\n3344 27289\n24310 58854\n28880 50069\n7910 12387\n41726 81807\n23795 67269\n56049 85434\n62478 99891\n70847 74413\n16056 63621\n6741 82041\n10863 29211\n28959 72117\n12736 78497\n13863 84641\n69434 71571\n21008 81633\n20103 76675\n34703 53630\n5200 9929\n51632 81127\n31360 49879\n9390 54958\n48445 76079\n33762 49946\n25846 90837\n7142 86316\n39471 40508\n8509 15019\n27000 35941\n882 38175\n28580 38553\n33017 60611\n5731 79984\n30793 83178\n80509 83111\n52838 56179\n24037 32550\n50069 97501\n22311 37633\n39553 90450\n16746 54552\n57531 64785\n47187 91525\n39095 63800\n65574 97435\n30639 68706\n60695 66498\n35850 81475\n94203 96714\n41534 80105\n17671 21783\n30802 99856\n43278 75907\n24485 34636\n88093 93297\n15263 43110\n244 59122\n71681 73124\n48908 84274\n35781 94089\n350 66063\n27155 28976\n75259 79620\n23333 36904\n67184 79863\n53683 90444\n44590 69564\n59756 74604\n14902 35684\n51668 74864\n8115 37720\n51931 74165\n3752 14771\n17147 60535\n46297 55441\n14674 25448\n24434 60037\n20599 62807\n21650 71926\n24927 69185\n60630 95830\n6477 55854\n8591 17303\n54766 98949\n24729 52371\n13661 91188\n11016 95870\n23354 52567\n4978 30795\n46628 92742\n41629 52458\n5419 31917\n59780 79957\n2911 76576\n91095 99255\n10500 60913\n802 65399\n72548 94719\n63396 78165\n10944 85959\n59548 92736\n78734 90677\n61792 70286\n30708 51610\n34416 76629\n23253 50568\n3296 12701\n42232 94499\n17653 95621\n16923 92314\n50301 79385\n10601 51158\n2362 12585\n37723 61734\n4410 28407\n18904 36705\n9112 47198\n26008 38821\n17608 93600\n14981 40615\n87359 93805\n3910 98076\n47961 51478\n41563 79208\n27528 98592\n26038 75094\n25986 77542\n54032 65840\n10517 91786\n42271 92041\n55178 70413\n24435 48226\n52054 65715\n14281 57661\n13483 75218\n3893 29607\n54436 96593\n59590 78074\n22446 34562\n16367 23011\n8404 69066\n2076 49594\n73018 79519\n528 34126\n43121 47265\n40623 42453\n2794 57024\n3728 34391\n85822 97447\n2060 98843\n2128 27355\n74532 78058\n38538 77604\n25429 87628\n71329 86382\n11866 63044\n14676 21614\n67983 95613\n38508 82488\n66753 68307\n39580 90514\n21760 49596\n26034 63168\n564 16962\n22661 84408\n44292 94402\n32088 58564\n5089 35090\n9602 84668\n6061 41287\n46077 69527\n34640 45769\n21352 73732\n30727 77226\n14650 40544\n15968 97887\n66251 96058\n23790 75291\n42859 91289\n35523 82854\n22664 34630\n11980 82946\n13171 47119\n52030 63455\n37222 87776\n57808 76915\n29764 86283\n7808 18190\n35469 92000\n47053 53447\n10542 67480\n93803 96475\n12148 63975\n46394 49495\n55759 78952\n9383 82825\n83270 85263\n72959 89961\n53626 80206\n28734 87098\n27977 44607\n59702 72886\n26509 41687\n59119 81225\n14975 97512\n34043 69870\n28912 34992\n22766 43627\n28711 93385\n18288 93944\n9048 9131\n44356 95247\n12713 61278\n55194 74600\n97807 98902\n30215 95103\n19388 71151\n49399 56827\n26841 33670\n7346 27747\n63126 70873\n455 62902\n78733 96759\n83781 91472\n36008 89615\n15824 75508\n73098 82483\n70109 92302\n62886 75868\n74076 79805\n2667 52858\n19625 59497\n39160 65459\n14727 77029\n44352 51495\n69265 95414\n49831 62156\n62934 63673\n36748 75219\n34324 87720\n83213 93536\n65786 86962\n24760 25301\n29734 71621\n9072 47257\n49429 98470\n89304 92165\n19549 98738\n24085 82193\n1144 4582\n15107 20772\n63454 64428\n11772 48589\n2638 88465\n57804 95612\n21584 25334\n73051 74672\n51585 92770\n30388 75303\n69614 87496\n28338 87729\n14485 72866\n28448 81535\n67047 93434\n7216 55783\n18855 73615\n21746 62414\n57917 64008\n26437 93863\n38577 99429\n75936 76305\n27767 82510\n23905 43569\n24851 59739\n32722 79384\n24471 75568\n12165 37940\n15544 33930\n83280 94326\n35637 63487\n5265 75067\n61985 64221\n19585 46147\n73160 79985\n61258 98609\n27532 83347\n46732 81804\n2336 61951\n57001 66478\n17037 26994\n33647 43134\n19573 96722\n7552 99310\n1059 14078\n15297 20507\n50014 67887\n92248 93772\n46884 73402\n16339 54619\n95550 98956\n40326 71598\n32954 96564\n7971 89783\n41941 96965\n2282 13570\n29888 72398\n648 66716\n60592 60993\n37372 55768\n87305 97407\n47616 96150\n30100 56469\n22163 84291\n15408 67906\n32796 90931\n16939 44562\n2334 54945\n20535 86235\n7047 77780\n30756 64840\n41672 82496\n9961 84382\n41665 43154\n27118 31091\n47227 84798\n38165 65493\n46082 88019\n43228 54112\n3841 99776\n68121 74985\n15145 68247\n2552 54593\n25255 67012\n32226 83100\n32070 35076\n18873 45599\n56324 72015\n26261 83419\n905 62704\n2824 56583\n22294 72007\n2531 66704\n9396 47190\n17407 79713\n7115 18312\n88685 88742\n7600 11642\n40426 52184\n622 58687\n84218 89896\n13899 61365\n70564 93117\n43851 72905\n69529 86517\n24850 97673\n20470 45127\n48136 98040\n83562 92967\n8434 73698\n14104 27939\n13196 68834\n26813 36529\n18855 97393\n47865 78920\n31277 50348\n728 69410\n4560 33332\n54378 64766\n19063 79260\n49708 57394\n3538 39909\n42866 46038\n9811 25837\n46558 73353\n20099 79992\n43458 46682\n10314 77033\n43396 69170\n6919 35525\n18475 51864\n12641 17172\n26964 75593\n73228 91756\n22602 68089\n57038 63285\n21567 78245\n8998 61444\n40978 77934\n38933 78672\n26183 54802\n45115 68945\n57564 95209\n8765 17199\n29156 92844\n12876 71645\n32288 39122\n4780 94149\n63390 73966\n2749 11896\n15743 90623\n47577 95583\n33800 41938\n36749 56069\n28366 58711\n24784 72214\n64242 67717\n62681 70433\n26982 87722\n16809 77452\n36993 55603\n42037 47253\n23977 83083\n15798 99824\n42683 96964\n16684 75661\n12650 15426\n17534 48306\n38859 96797\n21846 73888\n1931 84401\n72293 75607\n75025 97312\n3071 93753\n38678 70956\n1980 22968\n18980 26817\n4098 43508\n33612 93466\n65261 94067\n35511 63752\n3326 90618\n74243 76845\n43967 71648\n44433 95023\n1587 40534\n91461 98512\n15249 93264\n40968 73259\n10818 51883\n51480 78444\n33920 92787\n40497 95022\n35079 57564\n66776 82998\n26448 84367\n23097 57497\n14157 66710\n33978 44633\n2377 35482\n22032 61059\n13526 53597\n5115 78212\n35417 81302\n57567 71416\n17648 51449\n66202 79068\n21787 70565\n32204 83698\n32509 59748\n47628 60799\n44854 79702\n1851 59628\n1880 92795\n18426 89329\n52270 78977\n14874 94018\n27363 92288\n65916 77179\n40659 50345\n60954 86055\n19118 61363\n27126 96036\n16472 91367\n13206 61111\n30786 48333\n11058 66393\n42505 46476\n30221 30350\n20782 59063\n33556 89439\n35609 49500\n73006 98047\n37621 41741\n67368 91788\n76933 79530\n63090 77598\n50419 93408\n62929 74802\n8067 19155\n44451 71254\n57372 96850\n2383 88878\n10298 34320\n48016 74113\n31890 81939\n91076 94903\n9448 29097\n34461 64966\n51823 83559\n37617 64036\n27439 73824\n29856 89915\n55283 79245\n1887 44122\n62534 75247\n32411 32590\n60251 98376\n9062 70058\n32822 64982\n50619 93915\n55388 72355\n14352 89082\n32902 34345\n29550 78444\n52646 72069\n66263 85296\n33521 70049\n9698 30090\n1735 85049\n34591 93705\n48202 95267\n47134 71934\n21590 29955\n7400 14821\n13404 16939\n29586 44552\n38075 73449\n27040 41610\n67759 77957\n21446 45546\n30101 45936\n10337 83792\n53485 77953\n10819 99908\n6259 93691\n5612 25969\n229 70186\n20765 91505\n25812 31965\n50692 88821\n4813 63133\n115 43745\n73227 94888\n47956 90598\n21146 52801\n24981 89441\n58857 92204\n64943 76631\n50516 75960\n40158 43480\n18203 83223\n16843 24586\n947 67722\n69819 70971\n29803 72933\n11262 95361\n69264 73723\n18624 76648\n63354 85183\n64403 78492\n66952 82525\n16414 51999\n3820 33860\n14498 29008\n57534 59530\n57889 84811\n15530 18630\n31758 92583\n49500 94141\n47832 74896\n26808 68007\n46614 93908\n24239 62833\n28187 85866\n83561 88726\n19174 71005\n15953 34103\n6316 69707\n15536 45965\n232 50155\n50686 58912\n16932 94931\n18230 43125\n4446 55773\n7761 95511\n55652 78286\n20217 94694\n49626 51937\n5611 8403\n23572 27057\n29202 37684\n42855 73894\n38327 98865\n55345 78338\n67932 98801\n7929 80078\n79312 91998\n6236 13445\n87076 93345\n75171 95993\n22433 99194\n42070 76327\n4616 45630\n9478 37742\n60027 83510\n8331 88362\n3677 15836\n48797 66555\n43695 53961\n89272 99017\n25490 63244\n27442 61648\n66821 71139\n7660 80097\n21729 88951\n57551 60254\n45500 49703\n29793 43826\n11393 82173\n33088 63555\n6552 79082\n7292 20379\n49976 69852\n56059 58037\n4766 20617\n56002 65994\n39620 39760\n75543 95100\n910 53183\n37971 95273\n33484 99890\n62772 67715\n70128 84741\n21332 72569\n13041 73693\n8491 84523\n50146 71348\n64918 92559\n49976 80688\n1617 70126\n18976 34252\n12973 62919\n11519 64268\n529 20123\n12461 67865\n28747 34820\n64670 83097\n4167 4253\n22935 49676\n13737 54116\n87430 93100\n6726 27622\n87693 90640\n64441 91887\n31643 94846\n13868 86191\n2047 70816\n2224 12614\n40937 47603\n78832 84897\n4844 71299\n13917 42887\n25512 72082\n15464 27827\n40534 79151\n22288 96268\n21178 77403\n34573 86187\n47553 84134\n33367 62031\n69618 82462\n56604 64792\n34340 70904\n32379 84215\n49541 79916\n1476 23136\n14885 56869\n29620 83294\n18322 88300\n70453 97319\n754 36642\n46385 53154\n60509 71175\n56292 57126\n15994 48577\n8267 12835\n1974 57640\n15956 76909\n12011 36184\n33613 65814\n33758 75301\n44397 80181\n6277 30866\n9648 79970\n16414 29716\n29273 85137\n37995 54344\n50827 81538\n53615 94907\n14652 92085\n9864 26654\n33620 39776\n13285 56420\n23524 71797\n36100 86656\n48959 90561\n61618 73484\n43722 96099\n7566 10769\n48235 93389\n59990 74911\n42735 79428\n72050 98566\n11501 69639\n33446 34408\n60975 90199\n59441 73902\n52913 54974\n10 47135\n19928 31003\n25447 56542\n79058 81035\n63226 68733\n34015 38790\n65005 97232\n16272 56691\n38076 60880\n35429 94852\n22737 67496\n15185 25987\n11920 14456\n56125 81549\n11970 52931\n54967 56400\n49005 83122\n11911 31172\n4239 14542\n37577 88461\n9012 20596\n40872 69224\n41841 72728\n35947 37319\n32480 68274\n16178 66904\n13021 77368\n5992 48535\n30666 98112\n8454 22964\n53529 58253\n6597 14317\n16148 37164\n37665 88616\n27908 84433\n34969 58123\n23062 37358\n42998 67548\n6952 52727\n21228 84372\n22518 36424\n28160 37706\n1415 16785\n13197 78346\n24836 29667\n44309 74453\n1137 30166\n4404 62446\n38990 84897\n29885 54841\n1698 71394\n4057 83330\n14418 86347\n67352 82307\n23826 38803\n15450 71150\n28627 67667\n87618 91484\n14133 93187\n7213 91363\n1407 12283\n1646 57975\n8113 63050\n8784 36932\n24355 57138\n20726 53035\n56955 86187\n54425 60795\n63511 98785\n10755 16176\n41416 93896\n38634 43647\n4539 26326\n8805 11563\n11382 29285\n86597 96397\n90647 98382\n30907 73956\n43799 82707\n2415 46467\n371 90194\n45996 63232\n39728 93731\n22872 53872\n93284 93605\n55613 67054\n3469 44996\n34839 39682\n36042 95645\n19229 78490\n54187 55306\n65501 75626\n39690 59111\n3978 99032\n78844 90518\n47860 66923\n1235 71268\n96064 97112\n54506 98203\n33511 91407\n23509 69938\n73114 83704\n15675 47017\n73660 89087\n73100 80927\n43491 46877\n15369 78863\n67303 91256\n66680 77829\n36915 92365\n84359 87468\n16699 52858\n13664 89387\n42362 51541\n20724 69406\n64556 86917\n8494 78848\n42501 57207\n5304 44396\n8934 75480\n29903 42926\n6313 91183\n23025 77422\n71277 97528\n20892 64919\n13645 53344\n24903 79716\n69007 76700\n17760 37539\n5959 14414\n8375 70199\n89555 94574\n22749 82417\n16692 83260\n14791 44893\n37536 90268\n10815 14674\n50822 63853\n80170 85405\n64741 77401\n21368 23134\n1719 91239\n65239 77916\n37291 60103\n57782 92975\n48187 83863\n27139 68792\n4411 12156\n84045 98648\n55016 55585\n54758 97782\n24186 55180\n50684 98785\n44976 69961\n8334 9534\n38185 87908\n82589 86282\n33991 94359\n41390 47839\n36871 51402\n7113 33981\n24673 30242\n4450 14311\n32275 86451\n11672 93239\n80089 88910\n9227 81994\n50038 52134\n35924 51944\n11206 18284\n23118 71556\n31824 61587\n36070 49591\n27772 57772\n45966 66761\n70063 79335\n29197 76961\n38593 68390\n5645 49534\n24932 71773\n34464 86490\n87467 91676\n33892 84548\n19224 37854\n49712 90923\n69574 94218\n24674 86567\n18085 28350\n41571 58945\n39756 76184\n15325 87205\n43717 75567\n76236 81493\n58394 71528\n24396 28589\n26950 91108\n12932 54713\n1209 61359\n62285 72429\n16561 84781\n6289 80843\n42499 90902\n38808 62294\n41759 68738\n34557 95345\n29280 95867\n39785 66140\n12384 17626\n963 51334\n2044 50401\n45704 92009\n6551 49083\n38051 51046\n34168 83229\n29919 32051\n23114 46316\n12779 56897\n86979 95781\n48777 68739\n24955 35654\n28652 98460\n19443 21987\n86916 97306\n11239 29735\n36334 63560\n58418 62669\n19680 78310\n33060 72358\n37163 87702\n8096 32183\n22327 98808\n51512 56513\n31570 37940\n61547 78509\n51983 55252\n26607 90561\n79782 88913\n39194 56829\n11285 24316\n34994 83491\n90719 97582\n45234 98974\n72941 91889\n46119 78387\n19551 85845\n42440 42552\n16323 56821\n35818 63273\n29551 86872\n54685 66845\n27750 93502\n8904 90176\n34465 36372\n30332 52263\n19072 28355\n31114 41954\n2987 17678\n12947 35045\n1382 80889\n16140 30806\n2497 83114\n11977 41054\n37709 82975\n32576 96190\n32794 96521\n46228 88422\n66455 84486\n4235 28699\n51583 65616\n10025 90646\n11699 29688\n14867 84912\n93028 99383\n28366 88784\n280 7998\n60423 96214\n78584 87761\n11028 53211\n62752 63720\n52661 78470\n31909 49220\n63990 97382\n32871 41332\n16150 42727\n62504 77599\n20100 89212\n48479 65457\n95694 98816\n27582 96948\n82228 93364\n2742 7531\n70436 83648\n2976 63604\n456 65936\n17324 58749\n31246 59868\n17234 43326\n59155 61214\n38801 66608\n1177 37962\n24317 64335\n3519 68247\n13459 79085\n24835 53421\n27214 88021\n15876 99350\n42483 44900\n22711 35649\n55382 62123\n30847 37971\n37778 94250\n55307 75430\n51146 64467\n19595 23560\n10330 74331\n66159 83793\n67600 85511\n58675 80388\n18169 60029\n46005 55931\n41778 45054\n27570 28571\n40443 70936\n58321 86533\n14167 38701\n50252 74135\n19356 29441\n63490 81869\n72187 81565\n46151 50830\n57704 83977\n51149 99002\n24679 41169\n32791 72763\n25670 71782\n32432 41308\n18176 20710\n45519 54875\n27977 90458\n37320 93715\n39286 52657\n3538 27092\n42657 55238\n31734 78384\n19642 22313\n7686 98397\n36231 98757\n21794 60247\n13027 49677\n2869 52861\n39295 63037\n14919 55022\n65626 75493\n24732 45624\n33789 63799\n84541 94357\n65159 95419\n13234 35545\n417 82218\n71417 72092\n18327 60549\n50197 85133\n45169 89469\n18047 23011\n21592 37655\n54694 60166\n30868 89026\n9351 61387\n15318 38432\n51815 86046\n55958 96774\n78199 83015\n57822 72793\n45818 70086\n83069 90361\n47917 81066\n13600 32779\n42794 92806\n10651 58498\n30142 47437\n34767 37078\n68765 99090\n42098 87558\n74543 84772\n55535 61844\n32901 88513\n32659 81822\n14130 68129\n3134 35931\n27330 77376\n8985 47673\n3975 39088\n61622 63460\n69763 93657\n55835 97236\n78194 92945\n1957 63445\n43830 92772\n70663 71863\n46515 67595\n61332 92246\n25791 27928\n53535 57335\n5280 47345\n38050 63256\n24154 86842\n33151 83138\n54496 93234\n28622 95219\n60730 88114\n62123 73739\n62663 75712\n19163 98611\n71631 81210\n67132 84879\n23583 23728\n37641 74590\n6315 67909\n40155 65468\n49905 71843\n12167 23917\n65487 66084\n864 18820\n7210 86590\n10312 35472\n41213 77988\n9603 67723\n28032 81106\n59569 66245\n44085 94473\n50022 85852\n43882 71555\n8512 85601\n49790 73602\n29024 69349\n11759 58345\n39093 74993\n21398 89940\n28600 43986\n48519 81012\n45102 70833\n73985 98706\n69509 77387\n70241 97046\n83158 87193\n7264 47329\n28161 33763\n43353 95102\n38065 41909\n63408 74046\n11408 97521\n974 73420\n65912 73381\n26792 40029\n24732 29945\n33672 39572\n17839 70895\n47602 90840\n9188 95022\n56273 77942\n42722 81956\n19009 47219\n11132 17140\n71829 95971\n15371 66499\n76953 96336\n6441 69995\n24259 76632\n2864 17833\n6210 17466\n16399 75520\n56771 66218\n36024 45352\n86309 87714\n10042 28545\n3484 78232\n4916 25731\n44163 92591\n39932 45672\n5290 24029\n32248 64978\n23600 38790\n4387 58355\n19975 24358\n12692 35831\n53035 83572\n31905 71935\n51231 60546\n46941 60222\n31767 96617\n9938 53030\n19368 78436\n49150 61811\n18386 19959\n40604 43040\n21571 66750\n29912 50655\n24341 31244\n33259 81741\n84348 88452\n43845 82479\n34718 79743\n38054 89064\n66848 92621\n79351 82948\n21369 27512\n69886 86242\n3906 42205\n3842 29392\n9860 33031\n81583 89388\n31678 80502\n23240 42074\n52950 60320\n44138 68494\n12387 91777\n31387 98029\n38463 41801\n7898 45944\n42185 72175\n17783 96160\n458 2092\n40257 44696\n25790 93672\n18401 77011\n69011 73621\n17766 50797\n76804 86236\n33705 59018\n14358 38233\n12138 44692\n18921 74594\n9412 76497\n30778 58364\n34308 39215\n5448 96154\n27857 59033\n73792 87443\n7931 29600\n16704 68854\n22264 97720\n62148 80469\n40231 82880\n7318 19134\n96973 99123\n64554 77131\n52239 95352\n43006 85634\n52485 69351\n44334 88776\n47016 66242\n71836 87736\n62914 99345\n37066 55214\n49196 82569\n52842 99412\n48345 56497\n37111 81576\n12881 19375\n43191 57919\n36404 92520\n1902 79022\n58894 93382\n24114 89459\n57799 88429\n2338 35220\n41816 84790\n43288 94797\n23776 98675\n12164 12606\n48085 79256\n24108 64465\n33458 66493\n20099 64393\n56490 66502\n5569 80649\n9357 17697\n13241 31066\n58964 82232\n18862 89659\n28708 78469\n67073 77711\n60341 92701\n12606 51762\n29909 37715\n81374 87800\n3571 79542\n55240 67457\n13632 92887\n25182 60264\n11040 97884\n8773 55316\n31446 31882\n29229 44894\n30934 38033\n19722 39825\n10231 78898\n2764 47737\n14062 28097\n57681 73740\n16240 98673\n24997 96644\n58610 72798\n23492 48259\n61391 95717\n11802 53970\n38333 57039\n5255 14293\n14188 35110\n23263 51414\n62751 90588\n44710 47451\n12170 69096\n72817 75200\n23248 49687\n11134 96798\n29090 34395\n47355 84704\n9642 90969\n68186 93799\n2686 74854\n36216 56974\n49852 98704\n53499 76285\n3023 93909\n90403 93529\n19482 96217\n46327 86504\n1040 48413\n26950 78715\n10756 52050\n2573 48580\n25307 95258\n11772 97380\n11936 18980\n77640 88868\n39808 72591\n80445 97240\n64863 78832\n33793 87999\n15160 94399\n23883 49380\n1842 89882\n23170 57034\n41499 72293\n5694 79812\n13904 70024\n92045 93276\n77468 84191\n25133 68395\n29946 56130\n13593 46591\n53652 60923\n21983 78333\n28481 85879\n6902 95165\n21674 94390\n17227 92696\n13305 81400\n23830 25531\n45590 86416\n6368 48608\n82694 86497\n31622 48038\n32781 33888\n49471 57881\n80086 88740\n17587 38806\n32626 77097\n18843 37582\n9785 32459\n32603 32792\n39681 93061\n17689 32271\n40434 94675\n9362 40648\n17148 47179\n15847 60641\n71600 85996\n41906 81396\n55585 82068\n90359 96860\n3825 79832\n21831 40510\n10241 55654\n8167 69951\n11542 59063\n20997 30831\n2189 47711\n33694 71151\n33589 51958\n16236 46079\n416 16840\n32435 62081\n5210 10754\n57595 79442\n50618 98944\n14980 43555\n24037 80119\n25882 46146\n40279 84247\n88608 93045\n8369 56848\n26613 55082\n3981 33329\n32459 66154\n22873 46974\n2513 9374\n23281 96706\n40968 73532\n68920 76701\n47594 66541\n67421 98842\n11061 50881\n794 70734\n26430 43949\n15896 42916\n57597 71098\n32602 98247\n88595 97450\n36765 38177\n16832 63227\n59277 69786\n38657 65772\n46182 54892\n4432 56505\n74972 78056\n41460 87582\n56065 78678\n50337 81167\n37684 87422\n3543 95548\n22519 30008\n3976 22903\n7352 39638\n62273 90675\n8218 17254\n4092 60100\n25113 75986\n51051 96418\n19652 64169\n12752 98465\n38472 54056\n54982 73710\n5919 73332\n24913 38441\n56747 60263\n16052 58422\n60098 71334\n27287 89732\n52630 79174\n90991 92308\n59740 84256\n27630 80734\n9429 11620\n34874 47716\n22996 64625\n58615 64545\n44718 75469\n63573 91765\n51855 92526\n15896 80552\n32436 47458\n93013 95446\n11446 24946\n55210 93894\n52411 66842\n34629 46235\n12628 72913\n52560 79591\n31691 69461\n3289 53203\n20010 25617\n55118 72489\n4753 23358\n73239 90254\n59928 82222\n48110 93742\n55164 78002\n18860 54713\n32714 63840\n69649 72010\n68640 76560\n24255 35892\n17991 27072\n41319 58221\n28669 55446\n20313 71673\n45654 92318\n62116 94735\n22384 50073\n71 41311\n8621 19186\n8705 81518\n82103 83641\n42179 51482\n11134 86061\n1545 69309\n47635 84902\n47178 59909\n36812 40009\n13429 64230\n97009 98301\n35152 68095\n5804 84510\n6152 92472\n11343 94906\n21122 56448\n37089 90471\n16907 22285\n66410 92102\n35547 81914\n27791 50275\n28538 58939\n35678 73588\n57555 73988\n65016 85463\n54485 70310\n7779 16513\n82704 95495\n14715 79544\n76526 98111\n43949 81566\n9161 50409\n20940 21378\n35575 44954\n16472 32142\n873 83793\n6620 81339\n86316 98824\n21790 37316\n94169 95114\n20173 85089\n19555 82623\n54911 56527\n16032 17230\n23231 82996\n29171 55439\n10058 35215\n75329 79627\n11355 94613\n10031 66215\n45207 58510\n40014 84629\n89160 97411\n18073 77403\n21369 68431\n16016 79254\n47856 90818\n7757 12329\n9557 33623\n35174 66704\n44237 55312\n56356 85899\n9810 65283\n58002 84795\n1765 74476\n23928 41102\n17221 90837\n30652 99856\n11712 50401\n55 6511\n7148 74641\n43171 64927\n14255 35877\n78159 88657\n35079 37579\n17867 37827\n63168 67454\n14365 49310\n13498 55038\n18952 87256\n61864 64581\n26940 89980\n66562 77990\n3873 76328\n35041 35051\n76767 98924\n7256 56314\n72244 90009\n58449 80150\n45552 48079\n9847 17814\n15664 60465\n30286 37681\n35222 69651\n72960 78852\n57564 76314\n66176 70153\n74601 95580\n19256 82207\n34316 69088\n34733 50036\n52792 97355\n51416 91241\n25394 54222\n20439 48946\n21393 44056\n75369 90702\n72585 76898\n37012 81800\n20526 23259\n5152 59187\n9559 11720\n28927 70567\n25815 42803\n5423 27098\n15561 23222\n25091 31503\n18091 75602\n41529 48620\n69955 97589\n93230 97394\n48015 56178\n43931 67135\n55672 82456\n13481 71470\n11618 64925\n44150 79162\n15199 89427\n88512 95526\n81654 93914\n33684 67555\n43500 64257\n67844 94082\n23666 60020\n37013 55315\n77362 87606\n52989 80328\n21566 80107\n28742 31703\n76599 83329\n21011 32221\n1020 26900\n5802 48707\n39552 94044\n5091 70611\n11778 39563\n8781 27787\n46874 77798\n12483 21887\n42526 57417\n42420 79289\n42151 66156\n47002 73569\n13869 77190\n6866 62693\n13383 81671\n8797 47810\n28764 36013\n54313 88706\n44292 82354\n36976 72741\n10184 61895\n22186 38571\n24798 92123\n32013 93717\n5369 11002\n60316 76365\n27304 47593\n3083 64359\n74722 89665\n20824 23319\n25699 26539\n19804 29123\n713 13403\n37464 89244\n41406 59461\n6773 23230\n22027 90356\n24724 28486\n69747 99296\n16014 41391\n68307 99905\n43893 87656\n9677 68037\n10699 55275\n80608 97481\n51119 97006\n75459 92256\n72901 78824\n34865 78188\n70037 93269\n46526 89750\n19479 31986\n23727 37589\n21515 27325\n45268 93843\n44323 71594\n74310 87693\n10609 56881\n4982 62207\n12011 39996\n76182 89212\n71491 75894\n12826 87863\n28784 75177\n8640 24095\n1322 55743\n14380 35265\n5032 77739\n8606 77746\n56539 64541\n58906 76851\n21465 45234\n51270 59257\n38481 92294\n65753 90280\n74199 85093\n584 34802\n69831 77847\n28548 66333\n7198 81294\n71275 97966\n6631 66889\n55863 85143\n76489 88435\n20452 69757\n2037 28137\n36055 77023\n10463 93567\n33118 34681\n47396 82233\n34737 60489\n4035 99314\n22011 97529\n52256 58431\n43557 73624\n44187 99804\n42657 52471\n12490 47639\n74640 75189\n92850 98718\n1656 33233\n21808 28338\n5885 32863\n49617 84312\n76054 99030\n28828 89472\n59921 65276\n584 32160\n8263 31203\n31754 79852\n77847 92385\n34011 75890\n26236 35004\n39697 70379\n34852 95388\n32858 47848\n47422 97955\n9608 98924\n47247 86130\n63747 93900\n22784 98164\n65069 68695\n43588 96650\n52119 62309\n6917 63006\n3419 23962\n26490 34803\n24847 75132\n15337 64053\n38297 45136\n3845 55173\n8599 84954\n49852 92941\n54521 85460\n2319 91530\n32353 77624\n7366 11306\n44322 86943\n93309 96956\n65012 91875\n13938 63537\n43105 71067\n32715 90768\n40291 72524\n42043 80132\n47287 72398\n10833 85916\n66332 83173\n13066 20371\n17477 34312\n24678 35543\n42518 67367\n59781 87910\n3136 78029\n45026 88890\n27078 34464\n74521 94177\n90778 94003\n11803 42444\n69240 69786\n54803 88687\n20462 46881\n1051 83777\n685 67590\n48078 75950\n29116 73102\n29843 92148\n43063 75719\n43049 67325\n31447 81018\n6874 22234\n62187 76912\n7835 88902\n14636 47557\n87478 96052\n86069 91028\n81865 82900\n40974 92632\n15929 19562\n86756 97306\n7981 72468\n13670 74800\n7676 22135\n6711 12372\n16732 28453\n73550 87633\n37721 96669\n31082 88194\n85659 94735\n33420 47788\n35679 99707\n10896 28382\n62308 94360\n62596 65872\n26042 97598\n33187 75192\n8224 85204\n94570 99643\n85908 95101\n2038 84772\n48545 53619\n4542 28367\n17054 24988\n48104 75803\n37500 60873\n5634 54719\n6415 52869\n38327 48384\n34024 57374\n7495 19720\n7761 76295\n31782 74115\n3377 52677\n1897 92239\n6459 79299\n17294 19126\n40149 88531\n12649 35349\n26894 31349\n18335 18393\n4128 10053\n84794 93354\n13022 45990\n39286 58751\n1947 78452\n36642 82481\n635 95811\n17804 52766\n55097 81468\n9271 73997\n67775 71382\n56394 98228\n25631 74148\n64547 83246\n40783 84035\n60286 60870\n49949 75795\n6659 31500\n30771 89283\n37026 74257\n5411 97646\n28595 81817\n3931 99737\n37287 91067\n44987 77839\n17415 52573\n53636 58060\n52874 89023\n77246 88991\n13001 75231\n27930 70031\n9492 19651\n19161 91373\n3336 81092\n26111 55097\n38231 69078\n20615 62766\n19145 92860\n4394 6812\n5860 53627\n31951 70928\n23900 60195\n24207 67958\n87114 92662\n43892 56325\n45880 80684\n5361 21128\n5698 29765\n17325 30521\n72808 91841\n32498 69770\n72941 79343\n4996 49520\n44412 69672\n55111 97126\n62567 73285\n38793 69348\n23520 71265\n9821 89641\n33135 63079\n22346 97234\n13309 57650\n49078 64594\n4832 60162\n19974 78802\n18439 36996\n33305 51985\n21672 34706\n697 22683\n49048 89311\n57631 66710\n22029 55564\n33172 94305\n5768 35356\n20334 24645\n31695 60429\n56824 69694\n80649 96391\n42897 75194\n2319 82878\n3870 54413\n49614 89836\n40138 63118\n47227 83159\n15555 84185\n33128 75727\n54013 64004\n3027 97158\n23546 87843\n29527 39842\n10183 71891\n2572 54491\n49745 62114\n47609 58998\n2363 90606\n60723 79189\n4518 67772\n19467 83387\n63981 74356\n723 43323\n72376 74627\n817 74037\n53929 60942\n55558 96064\n21550 70598\n4987 88925\n8359 82820\n1650 55762\n58513 71390\n34161 56141\n4355 8127\n35782 42033\n45087 51279\n17190 83086\n2592 96767\n60998 88001\n19641 30450\n52173 73608\n14847 80707\n12001 23807\n51836 82967\n30380 99915\n19349 99358\n16502 68564\n41769 86367\n6790 38599\n7997 21662\n35911 41202\n32800 63380\n20129 85201\n46862 98647\n17180 89208\n34841 63607\n30581 77282\n6406 77659\n3524 41110\n41870 65962\n17478 99345\n10509 87145\n90666 91649\n62973 80623\n45865 75396\n56688 72257\n30287 59376\n62028 85619\n38452 60064\n50732 71377\n39851 98056\n683 82996\n32201 88961\n32006 51281\n34206 92437\n57856 99651\n34710 91603\n40458 73487\n11296 98573\n51589 61850\n42420 58167\n70094 85683\n62681 96383\n44872 83326\n48597 54413\n43061 50924\n53050 63953\n22025 46272\n1350 90509\n42117 83916\n9252 24781\n18366 80314\n32199 83841\n56349 70480\n33274 47692\n54821 84292\n6335 79315\n21884 54273\n1019 80121\n85852 87819\n47911 70458\n38433 72717\n8920 62658\n10231 84882\n41802 83653\n28549 43050\n18710 70120\n20723 44069\n33908 57967\n78157 96964\n9581 68960\n27734 98353\n16831 34036\n53282 97232\n19670 35887\n35202 79603\n31145 32337\n49323 71726\n34868 97229\n42509 87812\n69719 75595\n33209 57735\n10121 91602\n26422 28834\n29748 66502\n86736 90314\n24347 70666\n67101 70722\n10630 89871\n2197 8897\n6188 88402\n2085 39363\n85033 92821\n24780 47596\n25651 38178\n49545 84254\n80735 97967\n15972 26967\n19378 57688\n73296 95328\n18393 49104\n25531 81151\n60960 94369\n30605 66832\n19348 84809\n73734 84019\n64039 67997\n40509 45456\n25926 73831\n4735 43358\n81317 83022\n36071 89035\n68453 98407\n3890 55565\n73826 82885\n62710 88412\n25465 61418\n75835 81853\n8273 32315\n5636 97416\n51493 73200\n16683 28266\n19585 39932\n50561 58743\n79725 88178\n48547 51006\n39241 90626\n23136 52894\n44684 92724\n2710 78938\n55262 85555\n8969 62132\n28529 47237\n56379 99398\n37113 74405\n1782 79530\n55959 64590\n20699 24510\n64408 96191\n5819 39933\n27284 47195\n50314 62519\n20698 22364\n32532 41476\n53583 82811\n59303 60425\n59128 92515\n22271 24675\n16560 65073\n68169 83019\n27961 61017\n12999 46948\n33399 64360\n46066 65015\n51464 55015\n16566 91252\n15711 98862\n11008 94804\n71131 88755\n288 13841\n41563 64050\n23706 43314\n19662 78338\n51614 73059\n9921 36251\n69235 92249\n61056 65021\n9422 44617\n95 93331\n74319 90019\n52398 87506\n33297 54271\n34605 94100\n48385 61717\n28168 82530\n15340 46123\n15927 90872\n53366 53652\n8977 62328\n43713 85755\n62205 82372\n40595 68558\n23449 85444\n38571 45134\n66462 75012\n36011 36440\n20477 93803\n40620 90992\n54819 77931\n69172 90472\n43836 70466\n4513 23003\n48457 56108\n67232 96536\n4302 14796\n3807 25194\n46065 86542\n72391 79830\n16437 78601\n19891 98627\n45078 65744\n75207 86730\n9846 67011\n5152 10472\n2771 81321\n23524 38222\n28341 66300\n44916 94493\n17857 97738\n71244 95736\n50718 90548\n41866 46155\n59592 75665\n34238 96905\n60880 70321\n41790 66853\n81223 85074\n22565 66944\n54771 74113\n1007 43846\n18381 36063\n8740 15793\n20629 96851\n8530 76990\n62027 81979\n45846 95360\n64687 85992\n63696 73662\n66918 94180\n10046 72594\n84425 89219\n52517 89028\n24958 89291\n23086 32051\n46436 62097\n1655 76349\n56220 98204\n7064 38866\n52562 86327\n10725 53495\n12514 21034\n23377 94006\n17132 46358\n7223 19963\n14180 84294\n50490 91973\n21179 37052\n15631 30984\n19740 45054\n29974 54566\n17708 89844\n41460 49951\n89249 94358\n83904 85929\n3805 52721\n34604 85874\n52023 80425\n58000 74808\n24628 61008\n4633 53665\n1490 43202\n71573 82361\n65770 67822\n58664 60958\n77417 95445\n21837 61622\n26382 70531\n48572 57015\n43056 77909\n2888 24419\n4393 73460\n13632 69890\n66956 89230\n29193 39318\n78751 98313\n15033 79588\n7470 66715\n87800 90816\n62623 99521\n48103 72831\n37109 93877\n25925 77818\n28955 49260\n13204 67374\n22221 61376\n42395 87424\n27810 28328\n33288 35646\n17340 32401\n16049 56566\n36716 57972\n3844 44444\n18298 48323\n16100 86148\n6505 97649\n38784 41918\n52962 65312\n37070 84412\n71817 90259\n65135 89952\n2639 33622\n76511 87515\n12484 15363\n175 16563\n11112 76797\n58900 68307\n7737 51373\n25191 31013\n5490 95365\n2022 32585\n48806 91222\n85255 98437\n57393 91236\n33623 33691\n35752 39484\n49125 56577\n46364 73830\n36332 52096\n72775 83601\n5169 48836\n6972 46083\n22760 72224\n4829 87687\n59487 68006\n52503 58431\n38091 95264\n10245 53502\n19221 51939\n6646 65587\n10667 63553\n89993 94006\n381 8428\n10523 15129\n8648 41360\n4033 72248\n13130 76119\n20647 86978\n24694 42167\n59642 61118\n17813 39398\n11981 78309\n65952 99348\n2513 71793\n341 24282\n6810 49103\n64923 99057\n20731 80021\n79535 80842\n25533 79237\n11490 33547\n29004 85912\n11166 22243\n25744 79517\n2521 83875\n3586 23022\n7173 97455\n68711 78512\n13064 56967\n8349 13405\n40349 69282\n8964 11028\n2412 38680\n56052 89514\n9232 16233\n25281 28572\n29301 62186\n20709 36234\n4040 48609\n48699 95115\n76910 82321\n8706 93244\n45799 57581\n2535 47165\n33143 77578\n30359 62700\n39299 93546\n20374 68409\n5505 99469\n59697 99247\n18828 39377\n63653 76239\n13573 98609\n26906 84817\n22046 64147\n33179 80634\n1989 7625\n20162 78829\n39779 63426\n26454 94412\n5090 12601\n5702 47237\n24340 33098\n71282 90929\n43516 91328\n25222 78640\n54263 97670\n15772 35303\n10622 49263\n47432 72321\n79711 83074\n23649 68500\n20101 83893\n40299 46215\n95833 97963\n36750 90819\n61214 83404\n16680 85661\n7941 85819\n11522 60527\n12553 87961\n31491 91992\n52150 88729\n16476 60027\n20422 82524\n5698 71262\n24771 47196\n19185 74714\n75546 83368\n76708 80991\n5494 7847\n19939 35694\n5064 96222\n5254 54838\n45240 88642\n25930 78670\n72585 93605\n14910 69736\n16064 74255\n29646 77356\n39425 85679\n17741 70344\n15903 71430\n85232 98417\n18623 92947\n10884 43681\n24542 86255\n28770 78224\n55198 75488\n10795 38945\n61424 78218\n56871 70250\n31009 76960\n29068 89958\n8814 62240\n43685 52528\n11056 72529\n12472 38290\n23065 85020\n6079 58327\n38329 81893\n3158 43936\n19658 50995\n39542 81558\n11446 53793\n20542 85605\n42216 69992\n36972 93893\n732 57294\n89234 95476\n30203 72112\n37132 70227\n3650 10766\n17174 65347\n47124 73678\n16076 25116\n35796 41809\n25234 84961\n32417 47547\n17844 28340\n959 96530\n82330 94476\n36966 67634\n7943 99236\n33426 81697\n21390 56524\n62235 67157\n37589 93158\n75575 84712\n25363 53153\n39166 75749\n2792 69439\n65952 71874\n26458 65929\n391 81568\n51950 72135\n44930 50713\n6803 24082\n56817 63489\n69715 83380\n38603 82552\n26404 73565\n40615 90997\n14598 36878\n24660 80771\n22276 74719\n1862 83073\n1320 51125\n13622 27908\n4240 39602\n59843 69824\n25855 82633\n66466 96085\n42397 42784\n5661 58225\n48634 66231\n34314 69145\n32428 56052\n52357 92004\n10798 59966\n49343 56871\n30634 50592\n57899 83738\n51760 74722\n1651 28938\n6869 83184\n41864 74918\n10992 23217\n46022 58157\n10626 99919\n52208 92306\n13912 71108\n37745 81783\n31669 81873\n7593 85752\n59143 96167\n47666 53894\n48575 63677\n38237 63704\n40174 44927\n13479 14041\n57005 92569\n53849 65372\n6174 40830\n25271 75207\n34309 94342\n30752 52644\n72550 88858\n8609 85841\n18744 21041\n25379 80014\n43910 94800\n2190 69949\n65594 98240\n19442 38217\n49262 74535\n21782 25376\n14669 20822\n5950 13599\n16882 30273\n40251 57624\n16730 45612\n14140 65971\n28783 87904\n36027 42666\n606 25286\n37631 55688\n58670 84544\n47243 60251\n5317 47563\n13871 67319\n3154 43318\n23586 66561\n4485 53509\n17129 40325\n3350 14261\n56148 96852\n32602 55013\n53518 94884\n93316 94711\n2405 52578\n9683 57478\n87435 91179\n24158 99279\n68330 84507\n18637 92126\n17208 46845\n18855 37705\n24193 68378\n42846 71453\n19083 37232\n25621 77115\n8853 29472\n38222 50016\n20052 54222\n35783 90710\n69668 71315\n25840 43302\n19297 50667\n1943 60925\n25439 35079\n45031 83137\n8515 24347\n56937 96948\n25368 37796\n43421 84909\n1902 92936\n31359 37443\n41245 50166\n45306 74271\n51043 90575\n10286 83345\n14420 78172\n45582 50409\n17521 67845\n24123 24221\n43248 83943\n80206 86809\n18703 96320\n32667 77187\n29739 55635\n63716 66717\n1962 24210\n1878 43593\n75193 77588\n7715 87119\n3928 25682\n12617 61718\n4957 70947\n81735 98504\n7342 81295\n42899 49141\n43528 55340\n13987 76770\n72475 76494\n19073 63211\n37429 48009\n48104 82811\n56005 82870\n12725 97865\n4358 83637\n56196 92540\n63462 87335\n88153 97032\n17874 86145\n21025 48723\n20814 50580\n54048 85856\n41935 70724\n6841 39970\n33203 42428\n58572 70007\n40999 49318\n44208 73525\n24526 82120\n2719 41012\n64500 78143\n13382 61411\n48756 53807\n70479 79407\n9096 99765\n25932 64075\n72559 87716\n27297 54032\n36379 92664\n37328 60666\n12704 16276\n10887 65688\n56177 80523\n29169 96541\n10882 89395\n43059 67085\n19606 61115\n3013 78453\n14596 37288\n85960 99019\n21725 56162\n73847 93683\n43343 96285\n22905 98092\n39725 44983\n10452 40479\n60518 80874\n39279 75978\n26010 27779\n30703 72363\n57604 90929\n6118 96853\n28437 66590\n29186 79571\n36364 78308\n4406 12067\n28328 87874\n22125 75561\n14175 92117\n25485 75226\n86755 91090\n16995 47062\n34933 48818\n32128 45377\n17604 61180\n19091 38767\n11448 71998\n18574 53073\n4398 62653\n30882 57911\n11182 34536\n37846 89245\n5388 15797\n58938 91223\n64804 85350\n27495 60575\n45264 53745\n10511 86695\n372 46746\n43555 51314\n44386 81758\n25949 29129\n48252 75083\n59766 85486\n11053 91240\n17387 59145\n49960 79808\n25178 57402\n25523 86927\n7053 29094\n30451 84429\n66635 94468\n9793 80485\n2806 68006\n61189 82016\n42678 99548\n38434 72513\n5590 32450\n83785 88087\n15627 43659\n12673 16774\n34706 77585\n45291 49281\n40250 80810\n69618 93289\n18253 72231\n1288 86241\n58103 82104\n45235 54867\n22227 93143\n15216 81639\n65423 83345\n91187 93758\n38600 73550\n46741 86006\n12776 28814\n7598 8221\n42575 71867\n15450 43803\n40246 40440\n27401 58540\n15815 46225\n20787 57444\n27538 70545\n36785 39608\n76573 91500\n56331 84562\n47275 84689\n60056 61571\n7052 14069\n3159 98460\n98948 99813\n69876 96966\n47293 65156\n31373 54881\n6121 39733\n22266 48591\n29490 38186\n70053 74773\n21363 77525\n11872 92329\n52992 64980\n90302 96096\n63549 73133\n40005 90625\n62318 74224\n23817 53688\n49944 78884\n60118 87523\n36532 47703\n16535 40900\n25115 52584\n11394 83403\n7937 88763\n52175 86726\n42849 67080\n47124 57598\n11667 48838\n37139 47582\n45700 85788\n67409 69868\n18320 67037\n36683 87174\n29334 35937\n826 10961\n55772 78617\n41229 98752\n12136 46632\n68541 98306\n36741 94047\n17913 21357\n39973 63983\n60595 62372\n23097 29133\n10610 83052\n7510 22204\n19276 35304\n35824 93132\n7767 9985\n67504 86979\n43316 91139\n15537 60392\n19939 76389\n14474 78439\n47739 78737\n7602 21138\n25357 65097\n72146 89017\n29849 48532\n1720 34876\n48546 73441\n21904 35516\n38097 52919\n11476 59327\n912 81361\n6771 26138\n16051 81225\n41931 79093\n20554 24768\n10485 94632\n29134 96597\n65838 78333\n59295 97441\n42202 91651\n24192 57854\n63624 95767\n69853 78144\n65501 97800\n37074 45941\n26024 85741\n8605 87294\n18063 98336\n46727 60047\n8158 65999\n51059 69960\n6652 67097\n4887 22050\n56758 93639\n57900 99575\n48257 72785\n12689 89853\n19358 42680\n37732 91510\n60428 82546\n42109 82243\n58220 66429\n57603 63982\n745 47772\n8193 12199\n15829 28188\n9516 56080\n19758 53939\n79396 92862\n84986 91243\n14509 79901\n19210 59609\n1413 69167\n11030 69237\n41822 72092\n37404 41796\n25807 36836\n3295 61935\n44064 68427\n17004 85520\n4247 65895\n56665 70571\n44305 88283\n39573 43499\n62545 85161\n77313 93100\n24024 82667\n21435 45005\n26446 56908\n49629 52688\n20576 35778\n8107 14348\n34059 69196\n30634 84977\n49380 86703\n16432 72111\n46162 54575\n26226 47438\n4644 6936\n75752 79265\n30103 68366\n5472 14883\n32429 78692\n1984 90053\n31703 58316\n69839 79472\n6760 15894\n12269 61829\n20809 64084\n56903 91518\n11529 75634\n6178 97954\n67301 81454\n92623 93006\n14011 69983\n39557 72927\n2444 80380\n23952 73511\n26216 70345\n2878 4542\n20023 35950\n45577 81096\n27697 85531\n42935 83786\n69117 89694\n40118 57514\n47217 71579\n39244 91552\n11511 70803\n8013 30293\n31645 41732\n10628 13930\n16659 74814\n40205 61554\n23930 64342\n39387 54938\n6682 39183\n10674 74017\n39483 77424\n69040 75991\n23815 42989\n53017 72652\n36448 51106\n15703 28250\n51174 71462\n43528 66705\n2285 73965\n22799 44911\n7668 98031\n14140 65360\n14263 50365\n31193 52079\n23927 88868\n29895 87698\n22645 50714\n23441 71596\n47931 87878\n95545 96129\n39139 66212\n59280 90376\n19361 65499\n9371 14158\n28745 80889\n49095 96050\n1731 79698\n81490 97675\n66968 93861\n14973 33513\n31549 47098\n22144 62962\n51709 83605\n31570 33593\n30890 66845\n14234 22620\n38384 56212\n35827 46864\n14702 81692\n62731 74096\n8245 30777\n224 10636\n7598 32830\n5544 35530\n47063 83964\n20761 67876\n49165 71630\n44886 67571\n63349 86370\n17110 18528\n87328 93626\n33388 85261\n37591 85059\n58214 89005\n24470 29945\n39467 83354\n22699 49346\n32882 71154\n62605 65516\n2860 40292\n30269 64035\n21229 67945\n6474 48357\n9329 93700\n26940 48071\n60717 88697\n59770 77086\n26388 86821\n63172 67419\n57989 62104\n49439 79388\n31864 57524\n13483 73213\n41720 69782\n2218 74689\n2859 37968\n2931 71005\n29586 80794\n54282 73487\n46754 78020\n54030 62455\n12633 39005\n15337 84042\n42684 88769\n25570 33542\n48205 69650\n30292 68765\n62770 91283\n7109 77854\n3520 25951\n19548 97764\n8653 65928\n14513 21230\n54516 79438\n1388 90231\n8730 13084\n19528 34836\n56384 86759\n19139 77619\n84834 96956\n80674 84424\n45438 61633\n30978 48646\n7678 56186\n82067 87531\n12112 27843\n46519 79087\n38032 87655\n54561 61728\n17645 18285\n14282 47745\n32432 78792\n72535 91290\n74432 84089\n45683 92035\n51590 54419\n11313 56973\n19985 86237\n31149 74622\n1549 43778\n85131 86430\n16990 97993\n73829 76845\n19353 79840\n59898 61647\n47029 63691\n30289 91364\n13691 61437\n13160 14285\n9396 15309\n63121 75422\n46675 85795\n29472 62552\n72851 99274\n28118 41605\n43194 87167\n25473 84071\n208 71387\n45150 66728\n46109 55044\n54688 56947\n17243 29517\n16940 91650\n67466 86676\n17671 99401\n46974 76163\n30547 41019\n75886 88883\n26624 51438\n1987 43228\n36989 78411\n33374 43939\n54345 91654\n52207 56532\n10096 43429\n42306 44375\n8290 16565\n66694 84205\n7798 44256\n31233 32348\n81886 89224\n27998 71216\n5763 97346\n12796 18895\n5269 56256\n19521 53387\n12272 63704\n43457 86161\n15588 37059\n59596 89240\n38252 89113\n8324 51233\n33865 81615\n55016 88742\n36775 58535\n9020 29465\n55678 60762\n9055 31653\n66431 93503\n53250 57605\n4191 63882\n24327 43722\n2763 17548\n60976 91573\n47722 71224\n2192 88346\n4059 76942\n14190 43607\n77675 95941\n69688 85878\n40321 56018\n55412 94595\n67470 89919\n25049 74378\n41134 50187\n480 40774\n34897 81971\n19091 55461\n34833 93677\n6322 55360\n1293 36585\n29411 74134\n12909 48090\n6627 80215\n56109 97937\n36219 60333\n57928 68581\n3053 50936\n82224 97338\n15911 79112\n66114 87871\n24699 56425\n43714 50141\n6220 88992\n3757 47433\n14298 42038\n35690 62737\n26801 78708\n50172 53552\n29293 93317\n15449 79746\n3831 27435\n61911 90111\n76566 92656\n9489 16268\n6039 43612\n6580 61530\n4978 74262\n47172 49453\n76723 92793\n7735 89342\n47009 99998\n55456 70840\n84675 94296\n6866 63294\n41262 77777\n53181 81524\n9698 59560\n2150 30418\n12275 80848\n28002 85477\n48454 50154\n5877 97697\n9377 81844\n75495 88661\n30286 45547\n5269 33284\n24103 36673\n37584 74629\n61792 99452\n33808 62141\n40732 72578\n56556 99195\n37057 48547\n42068 91189\n48972 52963\n21333 44281\n69195 92919\n2811 50704\n4271 96333\n12514 13294\n8607 78687\n35565 81306\n7478 46526\n54808 95366\n42668 66286\n1914 30250\n14094 64472\n17146 27301\n47796 62047\n42336 46010\n26689 38624\n23470 23668\n623 10347\n18892 81043\n31686 57655\n64832 91048\n33755 58477\n46031 59993\n14617 38687\n6619 17507\n83812 96744\n146 83246\n25973 94180\n37090 74482\n42300 53986\n41653 69620\n25976 88832\n14446 60815\n14622 57618\n5991 36192\n45714 62366\n27724 55372\n31532 42839\n51272 69297\n73556 75413\n13927 67257\n24676 92960\n11972 53180\n6921 58051\n1721 90370\n34912 92063\n42759 75686\n26740 32443\n54552 77782\n46217 50741\n58321 95571\n34310 40579\n21521 84145\n17705 87134\n29118 51906\n7304 84828\n12570 99004\n5215 90172\n20598 23309\n9462 94950\n19305 55768\n40789 79686\n18631 86425\n1775 16826\n30889 43040\n1228 86566\n10739 20812\n18021 54452\n29665 69882\n12386 31948\n52783 61569\n17148 20458\n57198 81538\n39816 93530\n23381 86587\n53396 54446\n54012 72899\n33105 72018\n70694 71264\n11378 30469\n62008 79199\n46337 87038\n58666 81313\n727 3206\n28029 62666\n51324 83278\n8906 23133\n55635 91814\n21321 64111\n23175 93078\n69346 78335\n19493 28417\n35205 75162\n50 52911\n6667 33772\n21568 77838\n5549 6129\n61636 66319\n37824 55347\n17892 56038\n16051 62564\n36177 38004\n76685 98989\n30231 46146\n1137 93265\n2552 17855\n1737 20327\n48153 82282\n7803 92680\n1051 2878\n66263 88494\n29271 76186\n35551 36557\n1001 28051\n62025 65062\n56144 83123\n12601 72927\n3575 31626\n14748 97549\n7268 98235\n35859 90846\n56073 86227\n41596 54076\n37897 51506\n9491 32050\n52507 54860\n82402 96255\n38024 96418\n51830 88126\n57323 73931\n3890 31338\n17157 87637\n30237 35155\n71716 84226\n1518 83868\n34708 55650\n27869 46699\n13935 89950\n14981 47906\n1326 92198\n25850 79632\n28340 57852\n35981 56936\n36573 50890\n49656 73143\n59125 77764\n24421 74127\n6780 51338\n24769 30058\n17476 47428\n51260 99449\n31243 49387\n40611 44797\n32059 35397\n25823 51447\n11927 29969\n28662 53693\n10702 25235\n59599 86652\n70444 72358\n24830 68804\n61748 68988\n28387 44051\n2750 43365\n37447 90815\n58691 59375\n33206 34013\n37490 85856\n37233 69986\n5623 23106\n4959 5903\n26183 46999\n50477 95637\n65046 98810\n15399 58637\n60651 83311\n54006 63719\n41056 70781\n8239 11119\n81479 95817\n42734 71397\n46897 85022\n80676 92821\n47679 66611\n68576 88382\n63917 98690\n15816 69897\n32736 88519\n25980 59749\n17611 52767\n82016 83059\n8535 29287\n78718 99761\n36203 66676\n48809 62275\n35540 89824\n6555 92015\n48715 75661\n88212 88354\n30443 60070\n7690 75443\n79744 91255\n22128 24495\n51719 92116\n47826 76523\n19263 31307\n83146 94045\n3803 74314\n2884 87840\n4254 12663\n53045 75796\n13326 77651\n31787 36597\n5375 13468\n48722 53749\n26213 26944\n10605 49093\n50533 53343\n58204 85873\n40130 48783\n9156 48680\n44589 56490\n12537 52958\n35489 48559\n35976 85395\n10133 76842\n6121 76239\n30671 46479\n14226 30921\n1499 72429\n32346 60604\n36842 59381\n56685 97177\n48189 69820\n25184 73901\n63638 77766\n58671 92414\n13441 18528\n7969 61867\n4459 16915\n50317 50591\n26416 31054\n1999 16340\n34716 69727\n4311 97102\n15811 24164\n13137 88388\n7892 33848\n54902 86699\n27720 83756\n17985 62391\n15294 66625\n14900 89941\n66456 94911\n38844 88437\n35965 62723\n14585 64678\n6276 27708\n752 38439\n89577 93333\n56411 93709\n12678 85348\n47175 89522\n53973 62515\n93017 99041\n47648 80724\n85638 98513\n14653 64462\n1671 25419\n70862 83023\n56301 62411\n33357 49611\n40452 42911\n56508 90387\n18895 66711\n5746 53510\n61187 96893\n23169 24972\n95600 95710\n63764 99694\n67181 77868\n8966 49357\n4420 6525\n47403 60153\n7177 31722\n39658 50528\n3972 57052\n7750 84552\n3641 38248\n30889 37357\n25295 36743\n14704 49007\n78949 91444\n3 86900\n32807 57237\n37526 46192\n46207 98994\n11642 94579\n31345 39742\n536 27209\n66670 83730\n57360 90026\n20419 76907\n6481 50996\n74293 83749\n13787 22736\n9268 75718\n240 46099\n66697 71982\n61987 92588\n44821 76261\n36541 82033\n41594 54639\n21552 77121\n30299 45532\n8101 9303\n18515 32129\n62521 70399\n71677 99717\n2513 63980\n21475 93693\n3636 72659\n85057 94080\n31369 84550\n35572 73858\n21544 55553\n48193 64521\n16462 63861\n20310 84806\n65236 87778\n93100 94782\n25417 36752\n16593 19946\n45251 46429\n8053 57405\n7209 61709\n66059 93941\n5838 41778\n30679 50957\n49763 80360\n33974 99850\n9756 44539\n8068 39310\n3385 38447\n85668 87608\n29799 56925\n3316 50934\n9560 72393\n65250 86814\n2277 55064\n82843 90414\n70140 85758\n39637 72730\n45524 64538\n24689 70704\n42158 89240\n33705 53347\n35776 45025\n19684 27912\n23879 39325\n20628 89340\n19147 87477\n32772 66958\n15375 42982\n20610 46807\n5695 24682\n12569 69372\n5866 20425\n67229 97478\n77392 96933\n9800 23548\n32089 51837\n97092 99106\n56709 61515\n25657 87326\n24818 98411\n75656 95751\n5117 56867\n59032 75504\n5910 66802\n53881 69707\n41510 52965\n5271 26983\n63785 94554\n18833 35308\n28038 76567\n41646 44349\n6368 54789\n60612 67477\n6463 78905\n62570 94386\n23033 57571\n75480 87761\n14450 29571\n81908 95892\n16212 95159\n569 62547\n39529 87321\n20096 37922\n1370 65747\n60444 82498\n39674 83716\n15315 97701\n33671 89575\n57705 92970\n56280 84334\n9753 84057\n13411 38907\n4448 68460\n43676 60608\n5801 42519\n11620 29176\n25988 68059\n92260 96816\n72782 79612\n45875 68478\n18016 75988\n33008 35973\n43848 70127\n50550 93797\n9152 53758\n21222 26259\n4631 89071\n20222 76651\n14977 53654\n73799 99128\n64509 79090\n24099 47700\n21747 23727\n55146 55901\n36687 71726\n48604 94911\n46005 95229\n4140 10702\n27413 39462\n4816 88536\n60837 92196\n19157 23297\n43692 52050\n75101 86088\n20985 28306\n1705 91645\n52330 94032\n3241 70860\n1667 56687\n6835 62772\n11935 63433\n35332 86933\n40787 43180\n6128 85427\n5798 56310\n208 6341\n27511 61414\n27125 54609\n58787 88968\n7694 99236\n64206 72281\n11897 54523\n65175 73798\n20119 36366\n58082 83401\n14823 25571\n3783 94448\n14682 60024\n88750 92055\n23137 68875\n51404 89965\n18897 31941\n37184 99533\n27182 88873\n37445 49853\n46848 80409\n6190 49881\n35433 55797\n41077 69486\n10297 98976\n36602 92224\n6138 70695\n168 12250\n66692 86053\n56708 87608\n43067 70628\n45324 55627\n13144 71516\n22242 41433\n1782 58700\n47320 90988\n10676 71745\n34200 57383\n19157 41094\n1166 57634\n48032 58710\n47534 60468\n60417 92537\n27484 99525\n57876 70113\n856 47943\n713 59063\n58612 65737\n1425 24341\n28973 68348\n69287 97771\n75515 83961\n51160 64803\n44309 58275\n37724 93406\n68577 88808\n17030 72487\n45744 61506\n430 48441\n5960 57809\n54673 82623\n16075 50836\n25337 27687\n15612 81672\n38526 71169\n34903 93347\n27046 72411\n13010 30077\n68248 77747\n37092 87068\n63796 86228\n41761 85356\n4424 93561\n22077 80349\n20570 69077\n11932 86323\n27702 92358\n49173 60379\n66792 85948\n69412 84291\n26008 32625\n27626 50832\n8196 76272\n23491 37407\n75576 79632\n12244 17515\n62054 62966\n18664 73678\n48120 51274\n35911 98288\n66706 79365\n25546 88828\n53210 57998\n36090 67124\n7431 18598\n12334 56846\n3369 34059\n39271 72903\n19926 51588\n29086 49428\n18286 84952\n29033 41125\n6162 64658\n38640 58997\n29878 95382\n27266 27709\n6739 79982\n33335 61684\n12908 74103\n31542 42666\n5300 58458\n39239 79528\n4577 91298\n11314 45222\n19000 52640\n60635 89851\n26064 87013\n21701 76503\n384 93316\n31715 59770\n1703 56944\n3698 98847\n31201 75720\n9426 49661\n37533 43368\n17052 83400\n56282 97436\n56560 76080\n38573 89931\n31375 80933\n24404 44059\n36660 59237\n7224 34884\n19712 25577\n48848 69791\n78567 84140\n79380 89190\n38722 99549\n52600 79756\n36495 98765\n47606 64590\n15021 15204\n11790 46584\n46525 76008\n20872 37937\n13919 74132\n69499 99214\n28900 41113\n29560 48792\n31914 68747\n66683 97156\n56386 72367\n17842 70658\n45588 90647\n6065 48677\n52124 55048\n6240 56064\n10876 80948\n23235 89129\n80697 81370\n34138 88771\n2968 37058\n5548 63076\n3101 88419\n74083 75951\n58866 85410\n9027 86201\n83962 92205\n15726 80180\n49181 53572\n15525 33577\n11742 52730\n17685 73024\n51530 95403\n39990 59207\n17092 98620\n27231 40533\n14136 47488\n1517 86389\n82415 98373\n49990 55949\n29220 58232\n52784 77464\n50616 54120\n20029 58129\n53737 62645\n43912 49408\n1556 27826\n43234 83712\n62548 88250\n48829 99548\n57938 97269\n17056 24498\n24825 85967\n65791 68303\n195 36626\n79726 86338\n16069 57678\n7411 44548\n67939 89126\n50612 95683\n23333 76605\n3486 41948\n5331 47369\n14295 95685\n72714 95766\n14560 47235\n13362 90836\n25101 98924\n84424 89777\n38689 48355\n32158 59549\n27375 46739\n19394 85106\n20277 34554\n59934 91883\n26687 53564\n8873 30698\n72496 98400\n14300 83690\n22141 85028\n17336 95458\n64016 76422\n12045 48786\n8834 79917\n1088 2226\n5507 95710\n34527 87849\n40250 91593\n35309 63190\n46137 46596\n42326 99555\n26406 89246\n26444 67784\n6315 31753\n20105 77849\n17472 37998\n27686 84476\n54383 94515\n33081 47011\n56538 74819\n42722 75478\n32630 92916\n69829 73274\n1653 72091\n17707 50771\n80999 82491\n23396 55531\n64183 87277\n36848 80871\n10873 14728\n37841 76925\n21754 93905\n54601 89018\n39514 52006\n23094 45140\n52181 82447\n716 67733\n27739 34056\n5173 77819\n30228 58083\n60241 80801\n31329 87994\n6401 51122\n34377 66927\n27864 45091\n71543 85476\n42366 94953\n93268 96113\n4941 93378\n17287 91242\n8222 47370\n20794 44959\n37567 49858\n38809 94762\n31507 88561\n49902 83658\n19370 48320\n73231 93764\n26113 82276\n39081 90030\n38987 96352\n9398 24313\n5854 36602\n54221 65709\n61287 79015\n2742 22934\n9377 16041\n23745 64187\n30735 94350\n8443 8597\n15787 19699\n17640 52296\n51085 72520\n31140 72330\n73400 84171\n9523 26830\n18495 97784\n6520 31879\n71191 86923\n20639 52966\n39887 42377\n6063 93665\n60528 82715\n71735 94112\n83147 86111\n33192 80373\n16083 84879\n9809 64732\n68495 70287\n33279 87385\n26430 76512\n42363 91985\n56903 60988\n34128 60580\n39664 54240\n89723 93504\n67623 68058\n6934 8977\n21772 37121\n40117 47312\n14835 54898\n37543 99055\n42954 58804\n14209 23002\n2978 40217\n33483 53754\n6776 98989\n17546 84623\n39069 64243\n48563 68910\n82569 99787\n1141 89765\n7480 23699\n54845 79860\n40300 92706\n16391 42246\n35759 37451\n5687 75483\n26565 71441\n47469 95122\n27522 37307\n30725 50256\n39013 91298\n29240 49825\n8199 69448\n5564 16311\n20426 83406\n27668 45126\n27315 84593\n86446 97038\n36996 99544\n51223 54252\n1198 39756\n63028 89054\n62907 65478\n36474 64102\n41410 89799\n35370 66542\n3496 80546\n36429 44430\n6721 26544\n67160 68825\n20025 84693\n16940 31120\n20764 89676\n6783 19010\n66189 84708\n89881 97852\n26094 62800\n58033 61279\n1212 60951\n11634 88540\n10212 92523\n13597 35468\n4743 70898\n44901 67138\n7688 38573\n6937 60599\n47588 61975\n40543 48592\n46304 55008\n34117 63825\n25602 78434\n17149 36452\n17553 87609\n38149 55485\n28033 30323\n53231 75322\n866 69430\n59839 60981\n63519 80632\n27155 52887\n16008 22971\n13711 16500\n49188 63973\n71866 85663\n24687 76235\n40309 48387\n30878 44771\n52796 64379\n44172 87410\n26656 91562\n87771 94823\n91338 97242\n20900 97145\n27669 82111\n10730 44885\n63191 84785\n36600 44836\n15136 30878\n6690 23456\n6446 23130\n2024 80174\n59931 75248\n3483 32003\n66020 90990\n82663 99447\n30073 76846\n37638 55435\n8085 75999\n10549 14608\n78329 97959\n29294 41769\n70349 95078\n52642 73160\n2670 54521\n771 66999\n27591 39550\n65324 83223\n5898 25175\n29214 40138\n47218 56634\n12462 83789\n47704 82639\n5490 5885\n7950 90986\n56676 60268\n7183 84454\n28453 49022\n20063 21878\n86675 94902\n59538 97993\n22964 48728\n72517 91995\n20212 77968\n32903 86450\n28550 71282\n47623 92695\n377 80918\n33412 72930\n12643 85785\n24648 25108\n69874 73760\n73390 87561\n6482 17660\n26007 42587\n72322 73148\n9686 90458\n82380 97686\n24961 35699\n65811 98081\n12816 17602\n50917 71878\n8664 30917\n56638 84159\n17659 48680\n244 71637\n16271 28927\n63369 78996\n26644 34433\n16684 53097\n56415 84732\n58114 62790\n13874 61432\n75381 90600\n38697 71350\n41743 76717\n34374 36221\n3977 66302\n80243 88527\n31391 37364\n38291 85247\n39160 81131\n64737 70619\n64419 86734\n49647 61038\n36390 82279\n35516 86653\n36352 82809\n78521 89106\n65471 72921\n36967 45980\n61959 94295\n2262 78925\n22829 70314\n6000 6722\n33760 92607\n12678 98759\n57411 86648\n40627 63893\n54233 59814\n30055 72618\n42312 76108\n58383 73452\n45517 72381\n33531 63745\n3489 20767\n23697 36613\n58960 66627\n41116 89939\n66037 66508\n67631 68359\n3746 6898\n88027 88933\n29577 50031\n7421 79364\n30196 58889\n4340 50026\n8068 79157\n43013 58522\n52419 90045\n43646 52967\n60 85200\n76020 82346\n26104 91376\n13922 21002\n3670 8330\n11378 60125\n83847 88821\n3162 89918\n8450 53341\n14590 71542\n49912 83384\n83293 92074\n1030 74935\n15627 77981\n26952 80206\n50116 95886\n29110 88364\n37933 80603\n7547 8205\n1851 14014\n22406 49156\n2442 59749\n16658 19424\n8609 31216\n59377 89941\n1731 49238\n51955 80835\n56748 91429\n38611 43256\n31005 71371\n7706 68086\n53397 91515\n16131 70303\n28460 80778\n71513 87030\n19123 39987\n13148 92160\n41899 44116\n3133 24604\n30828 76579\n64675 93707\n15424 19530\n40880 77481\n20806 73662\n32650 53019\n41994 91472\n12052 75165\n6981 35617\n19747 48202\n19168 69888\n7403 75680\n31177 80068\n40273 57834\n50339 51418\n26729 71745\n41212 90673\n22606 92332\n21215 67782\n4431 50089\n32213 47964\n70094 78338\n49813 72596\n60955 81779\n44100 93580\n6518 8002\n30767 99108\n55966 90819\n19461 78891\n25087 37123\n24372 72989\n12278 66771\n7360 98605\n18139 55750\n50030 66893\n44850 48043\n18695 59803\n6420 37026\n70350 87910\n12591 22519\n46840 95189\n55174 98498\n22373 91957\n47774 64405\n82058 96497\n89773 95149\n17801 81255\n19077 66984\n35901 66510\n9914 21355\n43348 79249\n84154 95517\n23341 38653\n15476 45059\n79033 98996\n87971 98085\n57091 98207\n59767 69681\n23050 79275\n15573 74583\n950 27280\n173 28258\n1157 2448\n21129 94612\n20865 34895\n82683 83198\n65391 94327\n32665 51079\n13392 50251\n45416 56240\n64023 68599\n47903 72891\n58878 84660\n93403 93631\n47443 68104\n11447 90113\n22558 28157\n53112 96971\n67896 70269\n20400 45087\n68354 76067\n21703 86169\n85127 88482\n10305 48961\n47149 92422\n46366 60365\n16149 73746\n93245 96740\n27473 31172\n61195 89170\n45864 52492\n36210 38032\n77373 99584\n82479 99423\n55821 66497\n54453 99620\n10473 58994\n5457 59419\n68940 94201\n57330 82718\n4060 39575\n43156 81187\n27963 50578\n22140 35704\n13555 34372\n39023 63999\n44252 86576\n13459 39997\n8306 57202\n48727 89321\n11814 95450\n29457 52443\n6057 16078\n47037 50049\n50655 59258\n26847 46788\n7537 81532\n7745 71138\n43786 69501\n14851 21054\n40771 88605\n39568 41249\n19784 72619\n83386 97930\n58139 77562\n89080 92665\n37015 79153\n25007 34567\n31294 36783\n6453 14250\n2247 96667\n24981 33651\n67463 87106\n72196 77078\n28501 50060\n21677 29833\n30276 33474\n33907 84242\n52499 56443\n699 56294\n33711 94524\n7836 98491\n10873 86558\n41700 47011\n67998 85087\n3661 65634\n23117 61227\n30286 73780\n59964 70503\n77844 82520\n36984 59992\n54250 74785\n58127 71907\n53360 87784\n40928 84966\n18593 24206\n42503 59499\n2340 45184\n20112 81724\n10474 98616\n3872 33280\n12080 80899\n30625 65093\n40488 63388\n28636 45886\n48082 62741\n24740 83892\n230 3502\n21136 71365\n24269 25249\n83237 86570\n38695 46663\n12948 17472\n58535 61974\n37972 52994\n3047 93538\n21844 43340\n83073 93301\n37484 87297\n77009 87397\n24338 52106\n30996 33803\n38385 43564\n31442 97767\n31588 68340\n46041 48044\n8216 55822\n37351 98289\n23870 70784\n22545 47057\n19796 24359\n36684 72224\n47473 55293\n7018 35990\n9107 14367\n35429 93178\n4214 85107\n30400 62088\n26306 32507\n79387 89083\n7740 71973\n13344 38625\n66778 80997\n6695 46759\n34301 34448\n25634 69011\n48527 77529\n70626 83888\n25880 71171\n23751 24809\n21594 62672\n80078 87741\n53946 55679\n35730 52204\n23027 78199\n721 1786\n26516 50726\n73801 98524\n13154 60643\n49580 97099\n10739 87447\n9911 15897\n812 22152\n40227 59806\n61780 91613\n72488 96317\n48802 87195\n32444 81790\n48581 81831\n38612 92541\n35389 59970\n25977 31900\n8698 68421\n6530 73199\n12286 12591\n26905 29103\n33479 93181\n58016 68681\n41157 45084\n5738 76369\n24024 51210\n18419 83817\n15925 57786\n47211 84135\n67605 76969\n12453 49909\n6023 43676\n15021 75281\n32524 36784\n56730 88965\n16609 31681\n15083 64183\n54232 93483\n22971 81051\n22414 67098\n53554 62752\n18228 87121\n44352 84617\n9659 9899\n7686 59099\n23449 71698\n30597 54654\n25238 28303\n29233 41059\n62442 76246\n68799 76696\n8624 81421\n53809 87111\n17470 53433\n35498 68155\n38061 60443\n67921 80157\n3996 32214\n25861 63583\n9202 63638\n17881 26197\n30876 61857\n45805 64693\n78604 79605\n29503 94141\n65858 90703\n47995 79981\n47465 79947\n601 47967\n29021 53110\n14605 65579\n10972 85573\n82208 93195\n27175 60846\n64478 84223\n42152 69050\n15911 93899\n40569 91075\n5894 94511\n22510 69834\n51242 84821\n19863 83575\n2330 81866\n48023 91584\n48769 52618\n5944 8929\n50504 97110\n63726 99783\n71007 78926\n88801 94756\n87926 99323\n8673 23138\n38617 82781\n3278 91066\n16275 96481\n38594 66948\n29562 48718\n79659 89212\n50149 64774\n18965 44468\n47909 90816\n59663 93876\n66314 83947\n46956 73756\n17293 34293\n2930 47693\n96846 98293\n61204 93460\n8368 73967\n10654 80316\n592 49802\n74175 99750\n73781 88428\n31376 31977\n3534 74804\n14133 77338\n34408 46993\n19770 57855\n2512 15455\n63729 83817\n19229 66660\n64685 80786\n64444 95587\n16079 56569\n29115 31491\n29578 40383\n1878 17235\n18056 47474\n12989 54989\n18861 20069\n38588 61912\n19555 27264\n37266 77211\n9657 12566\n13885 31175\n2092 34232\n4978 48946\n4421 60293\n22267 33643\n76522 98825\n76228 80525\n60150 69360\n25362 55215\n85290 86605\n4941 96198\n3212 17472\n33645 90193\n10339 90439\n32346 71375\n61125 96408\n28629 87036\n15183 81945\n47736 73930\n14699 91103\n49171 92665\n20699 72507\n37104 56914\n36935 60442\n41826 68696\n46127 51535\n8448 58268\n16764 47107\n395 71408\n2949 55242\n68875 82916\n83096 85925\n21378 36281\n29683 48502\n27640 34435\n5512 33836\n63253 81389\n34853 97190\n55564 59164\n67764 79566\n4239 73150\n65757 69575\n79430 87887\n67358 80483\n45064 46816\n66237 91408\n8125 17509\n43510 79849\n24872 43724\n11288 25745\n22269 23555\n33988 39390\n31678 50619\n12592 80675\n48161 97117\n25736 81437\n79678 84713\n20103 62902\n30969 73328\n7663 60701\n3209 48244\n25690 55729\n91531 98786\n16754 91229\n27912 36193\n26467 62200\n23461 81079\n28013 86002\n24437 76108\n72053 76193\n65413 93328\n36302 76169\n22659 47072\n37237 93837\n25248 97605\n5155 57793\n68396 83974\n5819 18742\n25822 87609\n9973 23839\n40621 40851\n4459 80195\n43197 88984\n18819 23417\n25889 93023\n82566 82635\n45101 75872\n48496 99864\n72390 86256\n6472 44667\n24061 65342\n52808 57137\n18035 26862\n37763 59419\n22345 93571\n33895 55523\n11235 74759\n28206 39199\n34994 99312\n47852 50213\n19627 28443\n59009 78218\n38203 79967\n40460 60867\n7486 52250\n832 8248\n4229 62889\n20955 95676\n86812 90783\n27391 83246\n26790 77015\n82850 92780\n585 32456\n36242 60444\n54557 80587\n79722 98485\n59453 96663\n83217 94801\n66752 81398\n39037 51453\n39098 96158\n71189 74153\n29169 49455\n87567 91080\n71787 92525\n71507 93757\n68996 79902\n40528 93894\n23721 99615\n61939 96982\n6416 29161\n71392 71402\n13129 53033\n57815 69894\n5367 52935\n26195 66476\n10489 49905\n20566 28870\n39648 74810\n76406 84496\n32960 70331\n12711 40729\n58758 96622\n38274 39346\n31226 91402\n23097 28953\n47623 84411\n27579 80484\n7058 51219\n72572 75965\n41287 45265\n7255 69249\n28273 76735\n5350 40907\n66081 76799\n25684 93565\n6022 61425\n34737 91289\n42435 50813\n38367 91181\n53173 63801\n19424 69312\n50469 62208\n29085 89259\n11451 37766\n94559 99309\n35560 37124\n17153 62377\n13101 21508\n14169 30775\n28637 37001\n65752 69570\n1199 78996\n55130 57025\n27379 42338\n68866 71699\n32423 58538\n26335 40967\n23059 80863\n5215 40876\n14181 18226\n2506 69407\n42571 83606\n48357 63403\n51677 94964\n39068 59807\n24439 34282\n13610 69196\n18193 95337\n30461 58784\n23999 76482\n4247 77347\n14862 43476\n12590 17911\n6267 21175\n28902 99874\n58827 94602\n57075 76489\n66136 75660\n20547 77454\n31982 77424\n55161 68846\n68705 82989\n7423 8419\n32142 80221\n71015 92469\n33702 96816\n49149 56723\n18025 62624\n52721 65082\n80480 80605\n33554 52512\n27001 92156\n19301 68041\n29250 76717\n19058 95738\n68056 69654\n24709 73393\n17927 31222\n25311 53599\n28224 32818\n6868 29559\n21864 53485\n38132 66965\n31539 57023\n14981 25019\n29096 45960\n56362 97881\n19294 36447\n47389 90080\n28672 85645\n73 75835\n37482 41217\n22093 49432\n23698 47796\n18617 45416\n38692 51804\n915 18528\n56207 74090\n66499 86104\n47619 69500\n15580 21055\n43227 58720\n8337 51440\n12139 12272\n20650 77583\n45216 86845\n43415 63822\n11677 94568\n25433 77254\n32631 59373\n9265 63800\n30889 61043\n43818 65162\n26331 34552\n28643 77315\n73007 87640\n41295 84649\n31530 66839\n71765 89412\n5044 29271\n73348 90862\n40924 69986\n75748 81648\n47843 64420\n66674 93284\n13961 96217\n44803 72570\n56291 92130\n59462 65105\n36307 70643\n59996 61287\n64791 83056\n26069 57156\n61066 92319\n42743 64502\n35522 73841\n42180 96576\n4039 60097\n32073 44965\n25366 88475\n15172 75754\n24090 56719\n1139 3367\n52295 59860\n24188 32140\n24149 30360\n7852 46567\n35681 75961\n18479 58228\n10623 15650\n9179 34977\n24784 38724\n2163 67274\n34082 39150\n10319 65472\n22308 76739\n35842 64637\n28763 75076\n33514 64716\n38113 67901\n21026 63367\n21351 39245\n47447 54443\n50106 56006\n36458 86141\n30240 32263\n65470 77798\n2712 24852\n34551 78577\n35675 87866\n48463 71431\n36172 38782\n3544 89199\n67685 84508\n35433 94301\n13540 33874\n2327 64438\n53395 63382\n34060 37234\n78964 99939\n16301 17110\n35964 99592\n34583 74108\n27399 88697\n6572 55061\n32333 92251\n95135 96353\n20066 82194\n77546 99079\n34188 70925\n86787 99160\n55272 88992\n55641 65892\n13059 93136\n29185 40089\n48214 99657\n437 79515\n5373 8051\n3799 47691\n49974 84202\n47348 93745\n73778 98542\n36529 62615\n22606 73944\n49216 82199\n29874 49733\n22751 54669\n51383 62041\n13211 57753\n16018 64520\n1931 69693\n31043 42163\n21698 72563\n56177 72251\n6127 30776\n60415 87735\n654 14918\n50615 69331\n57819 94358\n23154 46016\n7165 97920\n41941 42700\n70794 96193\n23178 94171\n77499 83251\n27626 71741\n11081 90193\n2829 50310\n18980 71406\n42912 75317\n56285 79586\n32195 80209\n75601 86699\n13373 13397\n12925 13700\n7770 90032\n13504 37375\n47332 57361\n16427 75768\n73424 89357\n5147 50860\n7064 60553\n57586 63817\n32187 48961\n48241 52320\n43519 80030\n2072 38605\n14513 60345\n78769 85902\n53907 74974\n40619 49985\n5687 51752\n63090 99517\n22583 67734\n3409 73861\n1859 17828\n2368 87854\n3214 45180\n73464 79765\n39291 65408\n54821 74750\n30037 34758\n35548 51263\n74109 91040\n21162 40624\n2255 60847\n59249 70434\n1026 13701\n73145 85496\n22238 80059\n25330 90326\n679 12971\n26158 97677\n70808 91656\n45177 93475\n21687 46154\n6816 41429\n29961 60641\n30350 38810\n35100 73994\n55612 87721\n11073 28840\n27833 66828\n62398 88839\n5269 81780\n41449 82753\n12497 67022\n4731 70305\n17934 36082\n26610 44446\n79569 87951\n6259 46710\n54481 68872\n81199 91805\n16594 83264\n23880 96448\n3511 20102\n16888 77255\n12361 91668\n44811 74409\n40231 95573\n13421 75115\n76556 88721\n33388 35151\n3779 38147\n32269 94637\n12784 19262\n37597 99572\n10957 80127\n7892 54757\n28210 87925\n986 60430\n46589 92130\n43829 84374\n17708 22693\n25550 25579\n47874 84707\n41078 85081\n31335 75001\n41055 42576\n22160 23144\n26986 66338\n1085 6521\n44032 78706\n45352 94494\n24510 44436\n24988 72740\n24024 73297\n37129 73764\n7455 87105\n22739 29999\n55986 92387\n17483 35046\n5358 52578\n23082 92589\n13480 90212\n36490 58743\n27651 74335\n13712 98587\n61447 83069\n14187 19637\n16275 64809\n48948 55102\n65189 94208\n3880 74333\n54144 60060\n5262 59176\n52696 77765\n16575 56177\n27257 33564\n21410 31592\n45391 80445\n25568 92001\n24773 54338\n27930 85112\n17630 88532\n52601 89469\n62739 93738\n39776 40442\n41184 72890\n1561 34325\n7658 53989\n24555 52235\n3417 22023\n15904 84194\n6616 81559\n49958 88078\n52711 78671\n48120 83102\n69542 93603\n46873 71015\n48947 96669\n2030 34069\n24012 63200\n43216 66794\n50848 65728\n48997 97494\n12087 30897\n36570 85562\n70451 77426\n80471 97681\n22035 99085\n43320 55284\n30220 73608\n35325 59965\n77144 94098\n38305 84489\n15715 76047\n61887 99707\n20413 40586\n57640 64083\n56401 88937\n15466 93372\n24960 76499\n4639 5624\n5762 39567\n7635 28507\n9619 51198\n7473 64818\n17621 73359\n38317 93617\n24037 82534\n56770 76117\n5601 51035\n15131 29576\n47402 78941\n42297 89001\n14102 23085\n66516 97466\n22720 85935\n10115 49273\n7476 33875\n51292 54861\n29371 50707\n80370 82218\n23972 35421\n27882 38225\n31548 50098\n89452 96782\n11262 73527\n52892 62788\n43360 75953\n41502 56372\n13186 26655\n212 90212\n70022 81947\n6414 34415\n6217 15936\n62489 82277\n39494 43621\n7888 56587\n1245 44363\n11118 18269\n90010 90826\n22635 70102\n39741 52604\n1894 30941\n15380 53854\n17125 73995\n20498 95024\n11224 31589\n8006 66702\n12194 56286\n47290 99129\n78692 91637\n31236 46260\n68280 96847\n88079 96894\n24360 52862\n35714 95495\n1013 32860\n13900 28878\n25177 91083\n27793 54990\n2518 88596\n3325 15666\n19688 69257\n25439 75842\n35880 59520\n2818 41592\n15478 49789\n52910 62117\n35452 60507\n19391 91456\n28062 55475\n20589 51358\n5770 20938\n42399 81654\n65163 72899\n21585 24051\n19383 30223\n35081 44319\n60821 94750\n18024 59450\n12928 58503\n14643 47423\n24627 53352\n12554 16164\n64111 81712\n7613 84176\n20628 84176\n10171 70931\n42995 85103\n62971 65914\n75904 86797\n8682 64473\n24624 77579\n63853 78254\n1624 21472\n49413 97929\n32325 84239\n20060 90687\n59305 84574\n13529 73517\n37107 63279\n14729 76671\n19415 63700\n25021 70197\n6477 53662\n39913 63652\n1609 31123\n64474 74938\n25637 70033\n29653 39573\n75921 90952\n9177 89323\n42827 63355\n19038 73842\n26136 67858\n89911 98231\n9153 80820\n2496 61116\n35233 46308\n27462 55060\n26876 71050\n5932 45923\n12965 57544\n30631 58540\n16628 75996\n48953 76777\n51661 97022\n4921 41744\n18674 35907\n5665 94874\n13219 82757\n1946 67964\n49351 59095\n47974 89248\n7030 45077\n22874 32684\n17071 23501\n13291 54201\n17142 81089\n8125 9182\n28435 86748\n14623 73572\n25278 59233\n36011 38647\n31284 35244\n20056 63313\n80567 85399\n4110 46551\n1362 65367\n10331 19215\n13083 45872\n31968 93440\n38165 60375\n13184 84498\n91196 99042\n7480 34432\n86890 88172\n44916 78104\n35196 45206\n2084 60860\n30513 91607\n48189 97238\n33212 75229\n66454 68766\n22056 99601\n4726 5371\n25880 90380\n15858 54541\n77306 91280\n43851 65519\n35429 97951\n38319 42603\n79204 96048\n14463 93147\n27401 28791\n39133 93107\n16523 98851\n69693 93932\n39562 55013\n73242 75164\n49083 82829\n64993 67646\n30309 40029\n90416 99111\n4470 62675\n20280 51380\n39052 89628\n16622 62705\n30522 84995\n18857 74425\n27953 69684\n41304 54072\n56792 83749\n54883 88160\n76308 76971\n28403 67242\n28060 31007\n700 20047\n82557 98676\n23574 81648\n5986 26225\n24602 30715\n38069 83483\n17242 21323\n7627 61447\n29897 98932\n57261 97377\n54609 65248\n15352 68224\n19051 97941\n26434 62127\n35316 92624\n1483 86846\n43730 56134\n36602 60752\n41035 93174\n61050 87287\n10563 50944\n82493 99642\n28666 68652\n57713 80928\n43843 58987\n46191 63189\n58016 61718\n23174 61009\n12060 24854\n54784 86766\n13252 68927\n6248 19912\n35624 71947\n36701 83351\n2535 71115\n76385 85572\n26280 83428\n64765 90466\n23603 28946\n7242 85819\n17395 70678\n79538 87510\n5433 42790\n50910 59679\n18152 42573\n18166 29746\n17751 73558\n29679 89872\n22526 94725\n91383 99271\n35963 45516\n72979 80543\n9233 46722\n84524 87359\n62537 73797\n46176 68426\n26242 81217\n24390 42452\n27118 33480\n17620 35098\n9636 63021\n59584 87774\n52404 75459\n16840 92292\n1 57071\n12920 89666\n73707 95269\n70863 72155\n73621 90604\n73481 96928\n14877 15429\n29331 95906\n8224 77601\n16638 42776\n10634 98306\n36938 68994\n35844 62527\n21177 33121\n5997 56068\n32432 62142\n90475 92064\n25384 78867\n12300 54859\n8187 67620\n74120 79252\n1879 21190\n5764 41648\n31558 60241\n62874 76249\n15473 20423\n45703 84672\n15011 86208\n29998 86591\n42444 81436\n25556 47530\n41919 56856\n7399 71303\n80871 98487\n29529 77946\n17556 18366\n48432 79036\n24436 51808\n24890 96549\n85344 88593\n36509 37618\n65727 81975\n22083 66882\n17024 70936\n28276 68449\n25285 42743\n281 96871\n89100 96790\n4394 8431\n93455 94666\n82285 87007\n1297 84508\n12920 22079\n35276 96404\n42896 44579\n27879 61069\n22259 82270\n55478 59171\n14610 83790\n87418 89156\n66604 73537\n10948 58674\n43104 47366\n27164 78050\n77021 90155\n46076 89487\n32005 51105\n57915 82135\n54191 72470\n2985 60002\n12262 93832\n29539 93607\n49056 69560\n3081 26078\n16781 33808\n15850 99748\n9248 21892\n39119 77906\n15004 77733\n37582 64843\n27962 44314\n5249 86691\n82599 92070\n2995 43076\n17221 38782\n62178 93846\n4969 42681\n53387 77105\n68957 74671\n8910 30037\n15340 54744\n73789 94836\n44648 56270\n8564 97486\n43397 95919\n18745 49081\n46109 64110\n14803 38520\n16136 30042\n66242 68885\n34082 74474\n92174 98633\n57406 86635\n64425 89866\n32656 53733\n28975 63933\n4873 73430\n37813 52741\n20039 76732\n28719 83630\n25701 43169\n60607 88780\n22789 71318\n40034 70401\n25475 69217\n5397 52566\n60122 64306\n80284 95077\n64871 81687\n50865 71250\n57503 60900\n17015 61006\n12778 75493\n80001 95273\n21855 46077\n919 77024\n55803 58597\n29802 29900\n51895 93866\n92847 98282\n70901 90748\n51663 91562\n15116 24408\n57304 67025\n53821 73354\n76485 81953\n74477 96833\n9272 48620\n40417 54904\n27113 67024\n356 86142\n2932 80165\n13105 60245\n68448 73439\n20260 36878\n53440 56751\n50229 88525\n72732 85697\n41952 77392\n13662 21051\n42592 49274\n80628 96707\n1085 75054\n30435 89505\n35527 42669\n680 96182\n22919 54332\n55691 65502\n33309 80975\n31437 70761\n46138 54682\n31885 84197\n7388 73078\n54406 62031\n35333 61069\n12203 89943\n21456 71496\n31200 91578\n48038 74664\n14331 91740\n21576 30742\n39238 91321\n54375 71839\n2555 56380\n49053 67617\n80846 81573\n13088 50631\n34969 74728\n25065 99894\n2715 68660\n661 51972\n33536 88389\n5603 93757\n3662 6100\n23811 55845\n43264 62534\n7076 65804\n21092 94681\n48087 90032\n63221 68614\n59599 66903\n2864 87886\n82585 86173\n1181 82620\n11586 35850\n27911 76639\n38851 41133\n58559 91760\n58071 59583\n11370 45566\n1631 49041\n9653 11030\n31965 54695\n19877 99784\n19851 69700\n19946 71197\n22078 82234\n21998 45105\n10536 64601\n34186 60609\n14962 33537\n31307 42026\n52363 54557\n36914 81925\n31594 68566\n40677 50819\n38922 43163\n43240 97663\n22105 96012\n34029 88708\n10963 84679\n53932 63762\n9620 72657\n36901 78527\n1150 47961\n16655 54792\n25539 43827\n11291 98713\n19135 80344\n16566 68003\n91140 99134\n7167 87822\n23019 87707\n59610 75674\n57949 90862\n36118 85605\n56522 68067\n12626 57785\n19455 36357\n43035 91370\n7781 25011\n2410 59391\n7400 29349\n3583 4109\n56590 68218\n1983 53397\n88550 90497\n49086 58262\n85504 90084\n26377 58209\n5480 83955\n1822 98864\n1156 54295\n58199 73948\n33354 62933\n16556 75176\n9641 27999\n7124 63085\n6790 31679\n43336 47936\n10437 74355\n36839 64526\n10529 40768\n38001 48554\n8592 48837\n501 17230\n77434 89335\n31646 63472\n42985 88629\n39547 62830\n41049 43131\n7753 84263\n5978 6565\n2223 35209\n73872 85834\n18958 91625\n26855 55961\n68419 77822\n45146 64245\n76216 98050\n17073 86064\n25209 31441\n59424 65202\n46642 75498\n7730 76387\n49563 76671\n39202 75641\n7199 14258\n14339 68094\n43052 96399\n65681 80539\n77272 96319\n2318 44428\n42520 53448\n9409 30366\n25528 82836\n2943 70779\n44536 94473\n59147 90143\n53091 63080\n11285 46716\n58523 97935\n56811 99071\n32400 75201\n88691 99477\n63374 70272\n24926 56045\n31037 67252\n2838 7141\n51999 58149\n9294 24340\n68871 81074\n6655 33462\n52737 58728\n6514 89745\n28599 79992\n20946 46287\n41466 45733\n43972 81873\n12824 45442\n20879 66264\n36379 72675\n33875 46831\n707 57417\n39338 88184\n5019 78410\n59495 83372\n36442 76715\n58701 78081\n8701 38064\n67563 72290\n30760 96193\n51547 56316\n84251 85743\n20140 97620\n40648 83835\n19545 67164\n49119 61506\n43406 86158\n7005 20691\n18921 65685\n83120 87006\n38392 92256\n49273 74792\n24093 76773\n52681 62120\n58547 61192\n61188 63967\n62939 74226\n27199 99956\n14125 62718\n18201 51960\n45220 72224\n1563 59802\n27196 48702\n8641 33011\n17127 49153\n16953 92546\n29427 71117\n15461 90467\n69298 92373\n6674 23059\n47358 90051\n5416 54298\n53935 54207\n9579 57151\n12813 20298\n53122 99311\n36176 38903\n52062 67203\n45241 99398\n1749 8972\n1361 79176\n14169 49145\n79020 97538\n26382 54279\n49907 79922\n13768 52990\n2481 8130\n42404 76202\n6204 92314\n25213 40313\n28638 82263\n53386 77613\n44951 90778\n50235 84184\n16552 22543\n21707 97396\n55780 63131\n24069 78731\n11254 30478\n5094 76101\n394 50861\n44867 94071\n27236 65232\n38987 58179\n73576 95911\n40396 81059\n45073 51718\n83337 85908\n12384 80980\n19202 56404\n43017 65587\n65569 98513\n2057 10302\n67739 78486\n81754 90144\n70138 83932\n30422 66788\n39526 90162\n71106 97241\n2130 72625\n15493 34411\n60385 95585\n13425 71846\n23346 63331\n225 14398\n32727 54105\n4144 9814\n57821 79748\n80123 95321\n30883 36932\n3827 26828\n42482 71836\n31207 37653\n32471 67813\n32121 94470\n27228 89673\n35212 83346\n44833 95890\n12534 89806\n8212 51909\n9691 58076\n35414 80360\n31947 40870\n45675 57378\n37781 60448\n2003 43187\n1633 52104\n11551 73753\n45315 89060\n34678 63605\n939 64480\n6813 56504\n15355 76863\n62569 91966\n23907 78602\n75085 97917\n9998 72539\n19786 72716\n77384 79155\n68319 99098\n3178 68650\n74899 80112\n50813 94886\n81562 82789\n16589 20585\n82415 97566\n64462 73130\n108 39350\n35274 56149\n43373 43450\n6352 91442\n33223 35977\n27541 89986\n39311 71694\n8580 10350\n13410 70029\n71421 96414\n10639 77353\n31357 73295\n3573 12536\n38636 84563\n5722 72010\n25472 44554\n25057 41077\n61771 87603\n3464 93446\n1868 4016\n11211 77033\n80851 81239\n32096 38161\n21620 95694\n14158 59146\n10462 47145\n86455 87103\n7904 13065\n14358 18095\n63970 66053\n9402 21260\n71475 76630\n6242 79015\n19011 98889\n8887 80644\n64829 70581\n32072 95411\n34158 69821\n18275 99081\n16521 83162\n53017 71597\n76272 98877\n16449 48318\n977 7051\n52542 65111\n35878 67756\n41495 90338\n57568 86670\n37681 98083\n16671 84003\n7707 85440\n9635 68402\n10545 33994\n34043 90068\n19211 43990\n1336 3055\n17237 60451\n40282 52171\n9352 31971\n91402 99097\n10591 12030\n57140 75142\n48579 60351\n9118 81957\n51924 53106\n72052 99988\n67829 89341\n23156 97510\n56376 95615\n53273 98239\n55183 59659\n623 6161\n52695 62181\n3993 76947\n10967 88908\n88757 99459\n73203 81459\n895 79956\n54027 85198\n33614 41290\n60737 74572\n21776 41535\n9539 32354\n13160 42544\n58625 64030\n71437 81548\n42041 86104\n20103 63018\n1957 14933\n54024 55822\n7433 46692\n41198 83409\n3292 89738\n50152 84225\n15279 17701\n22845 34211\n30307 88337\n33378 50360\n12754 62086\n18758 59625\n53787 84750\n7255 64298\n31821 89064\n27239 57760\n37281 90407\n53621 99051\n343 85261\n32500 36822\n18831 28293\n18225 83011\n6397 18611\n4393 80478\n24990 70018\n40080 84782\n5599 70846\n32917 50341\n49473 49883\n13350 14966\n9490 67181\n14936 65377\n19751 72938\n13290 76990\n63925 71935\n20155 74183\n19097 89588\n14134 77990\n23828 54516\n30501 58801\n5763 13024\n8729 65979\n22276 33118\n69854 70374\n10646 64248\n93089 99699\n16071 24575\n75115 87677\n5157 77116\n53294 74932\n1301 44033\n60710 61306\n25569 43890\n61942 62391\n13146 28085\n18136 97415\n17440 79552\n56743 66425\n93331 99181\n49792 63513\n14593 21615\n60809 85020\n85158 89278\n44977 86689\n28120 38761\n52033 55437\n33232 62958\n55357 84461\n31237 78554\n10257 60648\n14957 79781\n57375 70218\n81826 91353\n23672 70161\n49992 85282\n34796 74343\n2234 89368\n85001 86295\n44276 83816\n13052 48415\n23623 95077\n30428 99333\n62716 98160\n46827 61572\n71825 95090\n9091 99533\n60422 67430\n41176 93488\n60871 96845\n46334 70799\n67789 89330\n8145 37999\n17231 38874\n7897 15022\n9160 82815\n10888 96698\n10349 86046\n13459 82092\n33939 80767\n22384 91310\n28962 97559\n16346 56117\n34378 57772\n20640 90410\n44063 80445\n33365 68347\n22957 94700\n80779 93356\n26468 96403\n636 19257\n13188 87649\n29484 63568\n57002 79352\n40034 41630\n18829 23629\n67418 86599\n61905 89230\n22376 53484\n67770 81127\n11595 34717\n59815 81496\n21151 86495\n59095 66992\n32338 46655\n55982 82770\n5908 92846\n5059 77524\n27801 53963\n12456 36621\n64878 69229\n41369 82807\n39968 63359\n40986 80822\n20512 83095\n24380 29887\n10960 13422\n40648 55669\n58743 85011\n64067 93024\n66851 73009\n77774 99283\n5749 40159\n13475 19256\n56940 94234\n25345 94544\n38563 86759\n11315 56595\n48696 65103\n3443 89856\n64454 92873\n26184 48194\n57895 59351\n77688 90337\n82308 94769\n67367 84345\n36326 67026\n20919 25056\n13786 32356\n55068 66382\n50107 56021\n65031 81828\n72265 84053\n73018 99134\n46785 85009\n16959 78129\n62593 67017\n22696 28084\n29386 66256\n37332 89620\n56788 68744\n25434 31438\n62239 84647\n62575 77373\n43906 65684\n79901 86398\n3299 47842\n60177 80045\n26654 87004\n3723 39447\n7383 32958\n39151 48920\n33888 62997\n76377 91599\n47595 49414\n78384 81629\n18789 43875\n10170 56594\n8977 98287\n65046 91882\n81208 95200\n52509 97282\n4083 82743\n6631 27274\n69898 96847\n1532 65808\n2253 83711\n37685 43751\n35177 42060\n11294 98327\n43783 99522\n13383 51135\n31737 45745\n11864 15118\n27 65595\n5266 53995\n24917 30393\n18762 39743\n2878 38645\n58271 75404\n49328 66129\n64987 85867\n60777 72016\n32706 67513\n670 4378\n16455 76109\n12822 97519\n48938 88425\n199 62288\n5740 80448\n6123 63934\n54948 59292\n5730 73962\n36255 99425\n21121 62091\n62303 74901\n49350 71533\n10521 66619\n19331 72942\n64337 83878\n46719 72778\n49812 60874\n15577 85932\n44742 62046\n6992 32475\n67892 78393\n23503 52790\n45064 91580\n32158 83179\n91482 97986\n39689 55224\n34022 82847\n82231 98428\n46440 81284\n14176 66444\n35814 40529\n31691 64223\n45633 79489\n12684 82624\n4878 9642\n58558 75812\n48150 94457\n34737 50789\n53047 61170\n35665 51057\n41015 44923\n3015 94445\n44766 71500\n35438 61063\n7830 41551\n2501 74692\n15349 68768\n75625 78063\n77447 93915\n24600 55602\n24301 90743\n55035 87117\n5339 92864\n77740 93324\n13169 88204\n43792 77242\n41813 88099\n25521 51111\n25775 94283\n18414 74684\n22000 88947\n29834 72392\n11759 87641\n49677 75422\n12796 97624\n37182 48776\n10267 73743\n43599 68516\n8937 45726\n42056 73015\n40239 46813\n43332 76636\n59623 96794\n34325 57308\n15802 50175\n26559 63117\n19615 79172\n2855 49951\n51806 82287\n17485 47845\n41008 78646\n60493 88912\n47784 76079\n36452 52135\n86778 96928\n15316 71682\n14350 38284\n40289 72702\n11918 93993\n26952 69914\n50827 58862\n63906 88073\n12080 41026\n70704 79653\n19672 27825\n79228 82345\n57874 64210\n46937 64039\n10152 71360\n72253 97841\n9037 40216\n51356 52403\n7299 82502\n45852 64121\n26607 29130\n7185 87225\n29990 78607\n57468 76201\n59102 63671\n28617 46483\n30658 55511\n16358 32532\n36032 83702\n39999 51407\n73984 84490\n8508 40590\n69453 72891\n39576 49517\n68161 93105\n38480 74557\n22333 71990\n4966 62725\n35732 46996\n9917 10872\n6102 62780\n61798 92140\n49679 77349\n10853 53186\n71794 78830\n57841 63890\n15449 72179\n51687 85866\n20065 79913\n24174 57830\n22284 41340\n30627 52303\n27474 76111\n16864 39152\n48771 83203\n52160 73714\n12424 99389\n22068 62937\n39402 77563\n65110 74712\n14364 20847\n97466 99466\n36112 72882\n21952 75797\n76621 78165\n3141 81426\n36237 72895\n38170 98648\n83569 85890\n79926 88005\n66570 78449\n38932 59931\n28689 57671\n39374 67477\n8146 20725\n45416 72554\n70482 78636\n44251 60520\n20008 31692\n24576 59832\n27602 39048\n45357 69172\n43321 45631\n58372 88899\n25884 95826\n40304 67449\n44401 72131\n55261 71620\n29866 84490\n21110 76769\n88603 97646\n59049 80093\n8146 31096\n45740 50313\n7272 47226\n22234 41615\n7440 83089\n24043 81544\n36497 41606\n26061 93472\n6924 14301\n38297 56030\n56058 78824\n51100 82783\n14366 22532\n10426 36892\n9167 17302\n8091 14181\n35946 54928\n40101 92756\n17222 56682\n21243 39238\n10774 78807\n85226 99843\n9932 51981\n25101 69569\n30405 95321\n3669 4428\n32931 51982\n39324 86505\n39764 85422\n49615 54291\n86527 99284\n22071 26400\n60768 84127\n31944 87336\n7163 89987\n84519 95960\n15473 91200\n38593 99276\n21116 47752\n58188 65796\n62354 64783\n5295 77393\n23451 86845\n12375 64452\n9180 63502\n4064 90759\n475 8401\n55220 67756\n52300 88754\n48379 75731\n24387 27584\n19672 26365\n30617 71231\n7936 75542\n90404 91042\n51757 98339\n37787 59758\n3544 38044\n34640 82618\n41451 85685\n10764 12509\n18978 19089\n23617 84081\n19993 92412\n27529 56853\n49380 86236\n20118 46858\n34877 92569\n18281 47265\n23423 72963\n6690 47703\n5843 91263\n3886 42736\n4849 37497\n28064 48079\n56174 69862\n25314 92300\n16982 27693\n42428 64333\n82229 93166\n13445 64010\n18300 78703\n69745 81316\n46215 85995\n22968 66975\n7476 12052\n6424 85490\n51574 87372\n34085 46875\n48410 94006\n58048 86305\n33408 40742\n31021 63671\n52501 89804\n60963 67575\n12496 30039\n67766 94997\n8943 71388\n445 52143\n23828 40195\n19643 64374\n50785 53098\n15232 91061\n33021 54774\n2046 2699\n56490 94763\n30284 38054\n19735 98511\n8990 47510\n35989 94138\n17268 76288\n23077 60078\n5076 84332\n90719 90785\n43715 90455\n2434 15896\n2702 17143\n652 49714\n10754 17641\n16553 54156\n81051 83386\n79467 94790\n4223 16851\n18961 26364\n47852 57468\n48205 50519\n6737 21801\n26183 48777\n26756 31921\n25586 35485\n2492 28120\n42476 68944\n13854 15804\n41438 84908\n25391 30360\n32838 41738\n10746 60861\n35126 98641\n25128 64512\n1366 52098\n15104 57933\n56102 90737\n39050 78003\n28988 55542\n14754 57039\n55036 70662\n24493 81347\n31298 62514\n7485 28781\n72025 78298\n3464 74838\n38000 52681\n40503 95709\n26203 49902\n71820 94070\n82060 85308\n33791 89808\n11445 66731\n10509 19407\n6291 65000\n3048 56281\n9454 67643\n2729 52501\n24886 97975\n844 25373\n20248 65936\n51591 59509\n15522 92612\n34306 49796\n19317 95459\n1724 69081\n49945 82746\n7305 77559\n1619 48169\n3639 26933\n33113 57932\n47043 50584\n10297 43781\n23247 92788\n29202 88741\n13815 89570\n47293 56943\n47268 71253\n54658 69628\n45313 45400\n48539 93928\n13662 23427\n22333 55630\n35225 68438\n10160 88425\n23887 27824\n18971 62457\n82965 96349\n47394 97812\n17298 80953\n43305 64704\n19928 23953\n25491 56255\n6355 78116\n36676 40172\n15928 66612\n75314 86822\n46015 60678\n70415 79158\n8953 16438\n6178 29656\n70884 83547\n1965 44853\n4373 79438\n42094 48969\n37720 58577\n40360 47518\n1346 67114\n59564 73010\n32112 34476\n3748 22933\n75821 93016\n77450 88085\n20222 29533\n62937 71665\n72847 92824\n21192 70383\n26064 82804\n4971 82718\n14400 80857\n84904 97328\n236 52976\n54985 66156\n12811 60429\n38812 60530\n77698 81796\n7374 54990\n28152 59980\n9500 49260\n46701 89174\n2881 16618\n27397 62173\n2088 20040\n4116 87081\n9692 80500\n2499 90745\n29388 79740\n24048 90492\n58664 86386\n36614 39467\n15257 46675\n15895 95895\n33416 61837\n33293 48293\n37076 41198\n25198 27231\n46965 55405\n5478 65754\n36741 51148\n45239 68408\n75 8859\n1558 66786\n70166 98393\n2052 32664\n47670 73251\n5994 98306\n18559 30059\n2017 84130\n8786 50886\n9302 76119\n6130 81812\n47880 93466\n46033 76101\n81582 81795\n17636 26891\n32647 74709\n7714 68383\n66386 94059\n22916 74357\n25077 71768\n75671 77142\n49399 88503\n26394 77010\n1882 83537\n10185 99673\n29326 85743\n3669 62818\n23784 71554\n24627 32267\n94873 99065\n32672 78179\n35361 89834\n52926 62701\n10994 23076\n5553 25633\n79669 82795\n75106 76917\n47000 49500\n50481 78414\n51233 59840\n68749 86373\n55377 74076\n38005 42744\n2767 30570\n96865 99224\n40152 60906\n12570 31649\n1065 3935\n57438 57822\n51577 59596\n9718 47655\n53398 90411\n21455 99846\n40869 84197\n43852 88295\n1633 33337\n5905 88834\n10509 26894\n34780 59216\n23336 25909\n22822 48744\n28566 77084\n4304 78653\n23065 71893\n62254 64197\n10472 92541\n58828 82790\n14716 75678\n31583 71517\n14301 15368\n64588 85243\n20980 75962\n5079 32822\n66780 78050\n13878 98914\n67806 68915\n47887 77878\n2294 31275\n26822 91500\n33229 48653\n65394 97858\n5339 56397\n51663 54485\n28894 40225\n29162 85593\n5396 50195\n70687 84326\n81763 91703\n45572 97396\n2755 65358\n5319 27335\n34261 91799\n51253 68230\n36806 66804\n10761 68758\n85202 86055\n38894 67033\n58846 90055\n21862 96838\n60175 99838\n5072 48345\n14662 91114\n10530 10675\n68909 69932\n10644 39700\n46746 98778\n43899 77709\n16097 57990\n24012 98955\n51057 73981\n13879 59909\n43540 56723\n27340 73702\n63450 68699\n41329 71636\n13972 93299\n40730 94813\n74356 76377\n28679 96798\n15761 66853\n44423 87896\n46631 55625\n424 23893\n45021 83805\n47617 92213\n64152 76596\n40140 73143\n82291 89168\n61371 93826\n4239 8127\n3184 16699\n24696 89489\n67317 81356\n58764 66548\n55393 69126\n27028 43858\n80293 85453\n14865 34129\n38268 80633\n11032 59874\n33459 53175\n37422 91770\n69261 77023\n55245 74448\n154 2419\n16721 76113\n44626 88209\n32384 50992\n28264 48279\n57202 63888\n7293 36928\n4546 41102\n8876 12438\n18367 21739\n60569 88309\n10172 81727\n20862 86282\n7042 83790\n18572 61897\n66357 71379\n88362 92314\n33346 55149\n47341 74179\n17738 38844\n6088 43051\n45376 70709\n9972 38203\n25117 72908\n777 3119\n4171 44417\n42205 72495\n3124 76559\n22664 22709\n14039 93083\n32816 42561\n27585 68146\n22111 49336\n6624 49075\n23363 45939\n6409 15708\n65922 79412\n69168 72590\n3229 63917\n40629 98803\n31365 38362\n26114 31319\n53398 61581\n1210 48973\n49806 91100\n30257 54905\n15954 96374\n37735 51918\n70095 94211\n18810 92234\n89554 98541\n25505 71356\n3485 37572\n78981 96020\n10734 22678\n64478 97886\n6227 96166\n36101 84270\n2700 84799\n10227 28376\n29806 81757\n18310 64076\n70792 84245\n60676 95268\n50199 61253\n61392 97719\n8415 16663\n50629 87109\n13975 17751\n40110 68775\n84703 97952\n34979 45477\n17887 75956\n37974 71431\n3620 20005\n63134 82522\n6954 31480\n28707 38563\n322 60551\n62683 79938\n44726 93406\n5053 53531\n48968 87540\n58963 77631\n8283 43546\n71064 78292\n63432 92172\n77273 90001\n37211 92572\n23137 48032\n22526 46729\n74918 91335\n22737 67313\n15682 59466\n46895 60784\n45490 60891\n6270 53931\n60697 72346\n21630 62976\n11216 90850\n80239 93502\n8017 20412\n1747 29527\n39830 62586\n32739 93320\n59184 95572\n29139 61163\n3196 72943\n61441 94402\n64369 82192\n35221 55676\n1194 26198\n45092 73925\n8984 65075\n42523 61275\n35866 64239\n53849 78715\n2531 87005\n65407 94523\n18400 44181\n5962 20682\n62005 66377\n66193 66629\n14533 70539\n62082 77715\n79439 80820\n16098 85942\n10843 85665\n16329 42772\n30206 39440\n35775 44250\n23387 78395\n25350 56229\n6614 96289\n8534 89835\n37400 57353\n66826 93528\n26206 38393\n6952 17885\n82310 92866\n9591 49606\n55573 78163\n52228 57004\n46587 86631\n12324 97505\n5826 67782\n28713 90728\n3775 13010\n29709 74255\n61488 88327\n31931 77524\n67163 71559\n38438 97284\n39476 87520\n9060 52260\n69796 80043\n19781 54578\n39626 40176\n13583 65233\n33996 41713\n31184 48760\n15907 23263\n26115 87746\n12359 26763\n16025 74392\n56476 73783\n10209 56167\n72826 83569\n35944 72856\n10442 28025\n85960 98611\n54473 92764\n22954 53940\n23322 80805\n3262 39789\n28522 46189\n93272 93398\n34609 47289\n63016 77685\n43850 62667\n27636 78561\n27937 28486\n7567 15958\n183 4260\n3056 87616\n64629 88802\n15682 95146\n18481 88319\n17431 64815\n2552 62422\n15148 22923\n71346 96389\n29185 63583\n91573 96033\n1025 28505\n5448 67092\n21222 64874\n18229 30136\n61195 68953\n4344 48336\n24497 65694\n7874 55126\n5033 81141\n42874 47220\n84676 86851\n75206 93544\n22121 71360\n16693 60444\n1744 37529\n10829 36885\n29458 96165\n43530 51393\n36632 48255\n202 36982\n73443 83022\n43170 71944\n15599 53583\n3539 58471\n13842 21442\n20538 24115\n56830 79715\n74405 99344\n9629 18146\n30644 96544\n50758 79971\n44759 97478\n55420 80573\n72680 95429\n22840 65443\n2734 13490\n36138 81056\n13115 77809\n43970 86834\n19171 92668\n24648 43742\n15237 89346\n68499 96981\n28972 74027\n77088 88652\n21204 82248\n55113 67459\n26994 47204\n31454 71536\n13998 84155\n14603 45882\n14816 74350\n23716 75632\n30637 97206\n17584 31842\n1835 33558\n68085 72708\n18443 73171\n9504 14511\n50643 65947\n29825 62637\n71555 84231\n36437 70151\n1620 36254\n59143 67831\n31876 37165\n57326 99106\n48959 88712\n54984 83399\n9582 93575\n28220 45237\n48526 70404\n17535 20433\n34349 89789\n11958 38232\n6273 11811\n14981 41814\n40990 53968\n14202 71539\n21102 34379\n51092 52073\n19531 77598\n25844 56286\n58862 93569\n14664 85373\n15571 71669\n75162 93277\n56186 72297\n697 98236\n70243 83167\n51667 69829\n26611 50322\n63503 86972\n87171 87801\n24153 74260\n55925 79911\n13306 24312\n13167 36251\n22989 50278\n20122 29023\n65744 73558\n26166 27955\n25333 55010\n52013 58709\n56335 87849\n45416 85092\n2984 46286\n80644 89304\n31248 74058\n37398 43241\n2041 90450\n26374 93600\n18077 41779\n14602 23085\n20633 63036\n25648 46982\n70428 78255\n50296 54246\n4371 19775\n64469 86490\n119 84745\n29686 30502\n49327 91207\n59293 74514\n14163 19793\n15715 50107\n31692 71312\n3334 67201\n30179 68600\n54294 86308\n8381 33981\n20829 67000\n3830 45494\n13485 41225\n20823 71948\n22323 88654\n3475 67698\n12262 39472\n13298 18722\n72715 87693\n11122 31961\n2566 7786\n1438 23977\n26334 75101\n26351 95991\n36985 56879\n18418 92068\n10438 68899\n18841 89469\n697 60498\n13532 89596\n24603 43723\n13050 31323\n9234 57288\n67733 72534\n42082 96712\n28133 45928\n71194 90786\n43188 53311\n11539 99356\n30618 90752\n9889 13721\n29350 36646\n5776 24456\n14015 64851\n38366 77023\n1448 38634\n36730 49393\n13123 28176\n4285 79740\n14571 66603\n64557 99904\n4550 75644\n53868 60580\n80183 80421\n74903 83133\n13252 16004\n69442 75393\n14881 83238\n50600 97454\n14761 88406\n978 64475\n8495 11889\n5580 19520\n67565 84364\n32889 70512\n3701 42816\n62278 71493\n20676 89717\n72860 92141\n33121 81171\n43777 76867\n44152 66537\n31583 79779\n8601 35356\n14768 62185\n31322 41808\n44587 79934\n4146 32074\n23660 76496\n21754 33058\n44868 50316\n18824 79707\n40640 92428\n5040 27761\n26360 41700\n6070 47631\n59912 87334\n7702 88629\n39889 47141\n2203 71599\n20629 44231\n33884 85145\n11756 88470\n8982 57711\n68848 87252\n18377 98281\n80911 85375\n689 48612\n35592 97028\n345 19762\n34088 59013\n28212 97256\n71442 79781\n60193 99948\n33740 44498\n87688 99746\n39129 65422\n114 90582\n12425 83718\n36153 49523\n53908 90423\n7222 20103\n32508 59173\n3885 79035\n33690 54485\n44125 89140\n68212 69210\n36261 68343\n14571 56412\n13837 51681\n45838 86017\n4459 64297\n26975 28739\n54187 68731\n13407 23333\n12187 43658\n27926 51354\n11793 85483\n17993 48006\n79688 89588\n5057 91013\n74305 78061\n55388 60320\n31741 85960\n19343 33272\n9166 37697\n74363 95980\n3853 41352\n1951 24088\n24865 59343\n17682 39020\n50143 93494\n32388 89662\n43151 71299\n70859 76897\n44085 55658\n2303 19961\n77322 84635\n35065 39782\n18471 60242\n64027 81878\n56362 83476\n34969 72629\n23644 82834\n85382 92621\n95055 95537\n1555 61942\n38030 70021\n83226 94867\n23510 94486\n1872 8991\n3534 30281\n20504 21353\n18647 95794\n586 3049\n14386 35769\n2121 76022\n94917 98530\n38950 39714\n15184 25586\n91685 91960\n14622 25846\n11145 96736\n43024 77451\n747 40815\n7711 93360\n48851 64906\n6277 30977\n68126 84292\n15854 31116\n9639 41491\n52477 96076\n50785 63271\n25322 31374\n25110 49079\n14409 90095\n1714 62086\n43637 87728\n13254 70669\n25144 99342\n6228 25871\n54832 84879\n51378 53303\n16100 46854\n47410 91953\n17974 70410\n32123 82976\n65422 73090\n28376 45256\n53310 58524\n18445 28277\n3951 22670\n74274 90043\n2524 77627\n11677 74364\n25483 27968\n3917 60078\n1202 48994\n62273 91768\n62367 98296\n10274 69859\n22661 58926\n35833 54947\n10249 95392\n39651 88636\n6649 36556\n55579 80346\n9335 60057\n30413 32317\n31350 60615\n11961 70669\n29465 46201\n16572 65690\n71310 83375\n68242 91396\n13508 81009\n17144 75275\n16720 89660\n37286 97324\n2634 30192\n11097 61787\n20247 93153\n25985 28102\n36382 70422\n16097 65643\n49324 63525\n22242 40330\n17267 71320\n56326 63001\n18119 34345\n5378 29276\n17851 77774\n29111 69972\n45428 46546\n26110 52876\n42578 87407\n9126 16241\n4232 5168\n3635 45258\n9859 34543\n7153 52994\n59396 89176\n28165 32857\n24336 72209\n43921 64841\n28103 95836\n15954 82758\n52975 59120\n13004 18017\n34687 91018\n6915 80763\n3450 37523\n7172 71762\n43967 78350\n37291 77261\n15842 19495\n44832 51767\n83462 96659\n18482 45001\n28618 52106\n9098 38958\n14116 89980\n17717 40051\n36887 50139\n118 8800\n11029 83410\n4876 83257\n46957 53254\n53782 79884\n23326 44715\n37980 73695\n22881 58447\n19416 72221\n32329 62394\n12759 75028\n73516 91968\n5353 25939\n58551 75705\n40031 73492\n51870 93997\n36672 46568\n33515 49663\n298 95447\n35778 47742\n19910 38906\n65147 65257\n21976 56188\n27177 80474\n1645 20036\n373 97332\n11842 34746\n27182 72509\n2675 58097\n4759 48306\n55611 96517\n13347 75964\n66427 94233\n81266 85097\n44994 92277\n11810 47461\n65504 75459\n69502 90096\n17779 21161\n9978 11674\n14257 80600\n67435 92764\n1225 56031\n63530 75785\n2686 31082\n33122 50479\n41357 80122\n59085 71636\n11586 27515\n66336 92774\n14077 51000\n9544 29742\n20857 36255\n34876 56939\n13559 52816\n55057 60521\n69736 72402\n15771 39673\n11823 15852\n38637 47344\n33865 70757\n13229 33532\n13319 21301\n11130 15442\n68376 80214\n48224 89617\n4200 98668\n21351 23966\n74157 95353\n42639 99926\n63395 96120\n33355 40194\n1941 35961\n6869 52869\n25615 44341\n9126 54830\n2514 51783\n68672 82644\n9182 39657\n5309 46146\n14517 49539\n14088 70438\n20668 40687\n481 92906\n19542 68034\n64893 75957\n50499 65673\n48029 49592\n9608 55721\n42673 89303\n36042 99437\n27412 67977\n80028 97785\n134 3415\n7050 44455\n530 15892\n58552 89567\n39382 95397\n33026 52250\n44815 95770\n62962 94413\n27614 77231\n363 76155\n2310 31332\n45342 54585\n23623 63547\n57182 68282\n4412 55659\n20056 82121\n43153 44657\n67821 68052\n69367 75199\n19373 98896\n69186 83055\n29515 82091\n2739 72030\n216 45144\n35309 39201\n15631 68598\n44941 59127\n4893 95256\n6688 18161\n19836 98147\n14892 96058\n33510 63185\n34626 89993\n66842 73817\n48382 56293\n46564 48043\n4085 89292\n96530 98613\n17211 91674\n52994 58528\n16567 19399\n36327 82070\n21367 51136\n59492 73381\n51960 97567\n52751 62602\n1733 42354\n26557 53374\n76113 86940\n47162 94977\n20564 98656\n23541 44479\n3033 45752\n6491 88410\n72623 98279\n14692 36955\n35903 96058\n15175 22465\n84212 96204\n3785 95415\n25161 68849\n62506 76387\n60652 62219\n8464 54492\n36473 64041\n38599 48969\n45547 72023\n30711 40682\n66163 87537\n17202 37773\n50501 84541\n85271 92626\n9240 42781\n27639 48550\n1228 18414\n92414 99531\n50530 98690\n12407 58867\n10935 37200\n9506 94823\n39351 83992\n8469 65398\n65777 82165\n30204 34713\n21386 58562\n45296 77195\n35754 88260\n7526 48501\n4404 47242\n10099 89552\n28098 45987\n65382 87891\n25814 33191\n13862 67500\n72811 86680\n29401 64321\n52053 87287\n30968 87082\n50769 73486\n17001 86623\n69269 82375\n23687 89491\n62894 93147\n48074 72196\n12436 94158\n2542 9797\n17220 56447\n17985 50648\n4983 23043\n4774 26135\n25580 55417\n78942 95025\n29030 61984\n15956 69013\n20646 42036\n7948 94086\n73561 75195\n13158 59594\n45059 55710\n21935 81024\n44698 72108\n32366 56658\n75849 80159\n21143 90041\n56380 66189\n24470 74661\n18023 96000\n53914 78922\n75153 82004\n19049 24152\n19540 70221\n63978 72116\n20108 73331\n9565 96189\n5599 31682\n64041 85914\n71171 90102\n58063 80869\n155 85975\n49631 98213\n39518 54220\n41279 71285\n31395 74487\n74731 93488\n1281 6425\n12195 51256\n26557 62131\n11310 81310\n6495 64962\n28638 93343\n29057 75989\n5140 91043\n19375 22567\n19557 59901\n59349 73054\n62910 73933\n17719 33703\n2118 12775\n44968 75737\n15384 83227\n13319 54703\n1524 93062\n29400 91811\n20530 88748\n7213 83223\n79148 99587\n24737 26873\n1670 95321\n33787 55344\n74471 92430\n2323 12019\n16531 76910\n22107 91634\n12523 96922\n33810 60549\n6833 90390\n71841 77363\n25936 92718\n72571 99129\n31237 35939\n21398 29117\n11180 69449\n10086 15035\n19142 49854\n76449 99345\n1371 78610\n11127 80351\n26384 99710\n66152 89073\n79744 87483\n15476 67255\n16477 82165\n24696 38156\n43813 80164\n38173 69756\n63800 68872\n15121 39229\n66769 98892\n24699 75923\n26524 28087\n42213 69115\n12480 65695\n36468 85329\n2271 23492\n12883 33593\n21132 86610\n22968 45116\n26259 50899\n44088 83943\n14957 54190\n5655 63803\n33365 92219\n54310 92932\n40150 80923\n5063 93037\n19788 49641\n61785 89044\n13282 27203\n29383 33076\n31437 63294\n48937 96954\n91923 93449\n21570 40470\n15509 37074\n4361 60751\n18648 68789\n39773 63959\n25408 36064\n10106 42921\n78864 89876\n25163 80348\n29637 95693\n633 28241\n1450 52194\n52869 83336\n71013 88161\n85991 86645\n3575 94431\n15589 33114\n10368 47567\n23063 35600\n80175 81753\n22401 64334\n47808 65913\n64750 81659\n54246 67895\n10144 91528\n39831 97561\n35533 84597\n26832 97770\n52717 67653\n67475 89773\n20829 62984\n71410 80795\n5410 33415\n5247 25587\n92636 94616\n20633 26122\n37647 65472\n47335 88358\n29790 88766\n49441 60192\n17141 23179\n74787 79838\n51022 95807\n5541 19856\n28612 37823\n55442 68586\n39526 76437\n37586 99956\n83832 97721\n9572 22853\n34018 94839\n68114 90749\n50208 64376\n53884 58711\n3662 69169\n35010 37936\n41260 99669\n52697 68891\n33907 87744\n2636 43445\n38077 61827\n68156 72857\n36278 96221\n57692 81999\n53272 59462\n11210 45565\n21817 74874\n31638 76820\n11867 52298\n34255 60599\n35343 81172\n53253 72975\n29698 94819\n60958 84339\n76847 83983\n11476 19764\n45084 48955\n23130 37620\n27373 53101\n22367 64441\n22299 31312\n1206 25382\n93726 98103\n19889 77776\n28157 56892\n53259 59129\n47643 71040\n7052 31934\n29533 49033\n73433 90480\n11796 44971\n10451 85354\n62145 79038\n5983 42971\n65676 84629\n1262 64835\n54089 61875\n23543 76957\n14410 55710\n22975 52684\n25375 68190\n12473 20022\n60639 92158\n29941 41413\n13357 65847\n3187 36894\n41879 84879\n56195 56588\n6803 25371\n12786 18788\n45941 63382\n60930 61775\n74209 98484\n21242 83170\n51585 54051\n7052 19488\n32143 57063\n26565 46243\n65654 92878\n26260 57241\n17259 52963\n60480 68300\n3300 29725\n21198 67006\n57800 68078\n25251 47230\n47441 52166\n1356 67950\n6752 28408\n49556 63811\n27271 36784\n24127 95847\n93217 97414\n41697 70697\n9505 20866\n14778 63598\n44376 68100\n34222 89160\n20306 37962\n46458 76776\n26066 57623\n626 49098\n49048 74600\n16106 93561\n63890 92235\n25844 54963\n9786 49330\n4060 6602\n67033 84597\n16458 63588\n67822 71324\n14735 35904\n44198 62331\n34175 62791\n13332 49719\n39684 71869\n21341 84512\n30845 61705\n20214 48589\n7008 45870\n31948 54198\n56752 78905\n10679 98913\n6060 62752\n42168 44722\n18311 24002\n51356 77726\n32486 53673\n21034 44053\n58798 77064\n30635 70980\n58916 83672\n4947 17111\n2176 77192\n68999 81834\n8588 24277\n40648 67692\n1687 88503\n22312 90620\n46922 90956\n8675 91982\n50175 77851\n54671 59591\n66015 95318\n36404 37215\n82774 83454\n35468 94859\n37386 62238\n7673 96056\n38796 47595\n33051 73479\n35979 63172\n22756 76574\n65187 88882\n7118 88579\n19155 29532\n21448 30722\n41883 73130\n60827 99950\n24129 78637\n47422 73588\n56511 65467\n62880 81843\n66011 95316\n9257 95868\n50305 81581\n11638 34957\n31270 77762\n39678 78787\n43623 81823\n12522 16775\n42611 52012\n47284 94243\n64935 91363\n3683 99519\n13393 31000\n32660 33084\n4308 90872\n16878 67620\n35415 88541\n15836 97197\n48698 74169\n77941 88804\n69672 74149\n68406 97500\n33435 51568\n12545 19854\n46606 64835\n9418 9428\n7903 46601\n7840 76365\n48999 93719\n27196 91433\n11794 65022\n1065 80671\n53764 62976\n21873 86069\n8216 84191\n80404 97818\n35057 56357\n57153 98889\n10984 40261\n15702 53336\n20704 67803\n9173 98803\n3729 72318\n55361 73193\n10204 43078\n22920 51579\n35979 37258\n56147 76777\n49849 70752\n27029 35566\n8916 57399\n14787 83527\n28469 91388\n61472 81693\n37336 86459\n37401 79599\n62684 93975\n39800 78679\n32621 89460\n88805 90197\n16950 85531\n4696 20878\n30400 66730\n45035 73307\n72065 89977\n48765 70646\n45172 46546\n29340 55590\n58239 63187\n31595 92173\n16833 27685\n38022 98830\n55934 76630\n23625 76542\n20110 30980\n601 35932\n61487 70056\n81067 97349\n59090 84244\n65458 95189\n50431 84298\n27404 53361\n54635 95825\n25356 57892\n63286 89777\n66120 84184\n772 87677\n1102 73482\n32203 52354\n3714 58767\n8834 37894\n14917 81176\n50629 67472\n50078 72547\n748 7030\n6850 55795\n1285 83272\n43377 71694\n16630 47327\n50509 59614\n46512 73040\n27062 59261\n37104 89048\n26347 55461\n32479 49128\n9057 33679\n64489 99438\n18587 19985\n55135 82660\n29249 43959\n30388 49125\n32727 90100\n41719 43189\n49761 89042\n19626 44978\n15720 82868\n95739 97669\n7653 82462\n19472 66550\n49613 85801\n32104 48624\n11925 57560\n26277 76804\n17770 38673\n40166 55639\n76945 95670\n34073 56865\n40339 55317\n31511 41859\n14754 93068\n69976 89207\n88226 89028\n36755 81879\n42042 74012\n50092 96492\n19556 45521\n64004 67200\n23643 24448\n13902 21173\n47207 91721\n28573 56016\n16684 81911\n68502 87461\n22661 35337\n22615 59455\n22992 77026\n22043 29803\n36499 89931\n3077 29290\n57155 78623\n7946 58056\n76164 79541\n11164 47841\n4329 84512\n22008 69723\n28845 87554\n17051 37857\n54550 89718\n16949 89653\n20392 88772\n42428 59020\n32693 99339\n30015 35367\n71696 94048\n64111 74092\n59727 68775\n19003 54640\n6241 6530\n3506 49817\n72950 89458\n20350 28231\n5739 25105\n37265 78903\n42553 92466\n11962 33229\n66118 86457\n50012 55072\n6704 94611\n22713 30368\n48557 53628\n67349 98508\n51079 94078\n14094 96143\n21037 47218\n6181 88422\n78254 86661\n49138 71868\n75409 99781\n9522 47717\n36208 46765\n83684 94011\n33652 78485\n37205 78951\n25417 49613\n8290 35116\n48817 56489\n1893 53758\n30855 93172\n1678 66582\n54036 70872\n95340 98077\n48206 98903\n46891 81748\n37803 40621\n64524 66339\n17104 53183\n49319 98140\n30899 82542\n40931 99788\n31087 32626\n80781 97720\n34070 70395\n10905 37268\n24031 61676\n16348 92276\n73163 78810\n41414 68209\n43799 86891\n42176 67799\n19895 53968\n5602 56124\n33517 41105\n69415 80696\n28773 64423\n9863 81983\n28986 32613\n8422 58837\n14579 96012\n44361 78736\n2670 42804\n53933 58601\n16462 42679\n8525 37072\n2992 47870\n16490 73696\n78072 97941\n1909 37109\n34771 34941\n9050 18675\n28723 70942\n57575 97002\n33548 36159\n63755 70413\n52715 91859\n29576 29616\n47566 60141\n26793 53750\n22458 28364\n69918 85310\n11635 92713\n33633 37074\n16360 83472\n35921 89968\n17124 61677\n89935 99913\n62796 70621\n44973 75768\n20092 54117\n39735 84114\n44392 90170\n9392 19118\n44325 49428\n9566 13149\n56457 78267\n71360 71682\n61902 68030\n26195 50517\n28447 51205\n25018 96247\n48964 93668\n64699 87354\n12901 29545\n35292 43585\n4364 68266\n16191 71375\n23446 70080\n69670 90132\n5415 9291\n44747 58016\n28328 74421\n42687 50666\n13193 44854\n8557 43453\n41001 86612\n62807 67590\n26667 28495\n19604 91442\n64060 98883\n49997 78857\n76089 91525\n11654 98222\n27526 98140\n64672 93869\n15297 86347\n4815 66485\n64787 91281\n47372 65928\n2185 54609\n66043 94751\n56895 68717\n32007 74897\n58188 59812\n32676 69384\n32915 69983\n30284 84739\n66526 74030\n45524 66933\n16562 39929\n5019 90593\n8841 81919\n85589 92583\n23849 66897\n37596 50508\n5023 72451\n12799 69184\n50213 63798\n57211 71730\n42612 92006\n12816 23795\n17367 82639\n75874 77874\n14771 26788\n19811 83050\n51535 87121\n56883 88515\n61189 74214\n41410 91183\n26471 34354\n67208 74584\n38330 64804\n11461 97796\n3604 7011\n14610 33232\n18385 67080\n11327 85880\n31883 34732\n42374 85634\n41799 84628\n67577 89087\n12880 42401\n88105 94102\n10828 26399\n4600 8901\n58444 70757\n20207 76021\n4610 24578\n14136 36636\n44158 89966\n47401 79370\n17386 27569\n10925 93603\n18333 52300\n49059 79974\n3939 82456\n49720 85666\n13076 50851\n30468 52372\n13852 85550\n32904 90308\n7179 59927\n5187 55780\n48164 65706\n55036 88428\n34820 93829\n16667 33918\n21032 55814\n49458 78792\n57744 77940\n82813 91554\n63706 76826\n36774 84532\n6431 41099\n46926 79815\n16475 34843\n7183 77860\n47702 73853\n32796 50571\n15034 84971\n69498 83938\n21532 73292\n58746 97925\n31904 56610\n6795 44837\n22651 86215\n1405 85159\n42030 94290\n71410 76211\n202 97573\n62080 77463\n16416 45620\n58945 96375\n15162 52528\n6812 97411\n67669 84621\n7516 39924\n9305 15842\n9378 72403\n75330 88337\n25004 36273\n3226 55440\n64573 75425\n69226 84656\n23314 35114\n48597 62759\n20060 87900\n67883 83837\n23614 52532\n52172 59594\n17401 70740\n10061 27565\n20626 52251\n50677 80555\n5269 31090\n58686 98697\n48102 99544\n1924 46777\n26865 34935\n4801 75874\n32742 69850\n98 74879\n21891 75328\n13280 27175\n45736 91183\n58483 73878\n16421 77931\n762 57069\n73999 88939\n43951 84938\n14478 15960\n20150 50165\n44150 91307\n3344 64567\n430 9571\n35356 54273\n42757 43591\n12754 21920\n44717 86832\n4608 11522\n36661 39418\n11739 17397\n76866 81759\n22352 39006\n7248 84219\n31415 68719\n44494 69324\n25996 78761\n22980 92580\n9317 94748\n57946 90773\n6883 69971\n16194 76951\n50712 92724\n14680 56876\n19754 36771\n43795 89217\n23333 39396\n3184 55820\n52159 84197\n47762 56104\n13625 87291\n57116 84156\n27296 57712\n29614 74888\n72903 73397\n36853 58406\n49149 89766\n41119 89047\n61921 95185\n2086 68114\n7722 40319\n19057 32274\n55586 71732\n4542 55149\n16291 59608\n54783 77587\n42388 90651\n5618 50224\n36292 39276\n40302 51473\n20368 59598\n46339 50328\n38233 77462\n37426 60411\n55794 83834\n57591 82263\n12127 44698\n8286 52499\n69627 97113\n17473 95583\n3030 73279\n13180 53436\n66080 79067\n46699 88174\n47719 67252\n72609 75524\n27763 92461\n42629 66932\n54571 89696\n50013 59863\n19644 54211\n36593 57294\n38684 68486\n22190 33684\n31527 63486\n21663 88094\n86083 93264\n9533 11702\n13794 75012\n7079 86711\n36703 82690\n12339 93596\n7472 95067\n39213 53858\n5999 14794\n13570 35966\n69356 96761\n65122 79270\n8298 11385\n5869 7511\n69096 70074\n60746 97497\n55252 79193\n46141 74597\n36381 43650\n47945 65555\n13612 24234\n88838 99186\n15864 87785\n13087 80269\n31033 52440\n29491 39732\n46758 93393\n54650 66951\n8245 77821\n14464 23321\n53007 94996\n74435 79444\n4397 62918\n26725 65071\n69050 73097\n11776 59300\n31444 76303\n14556 98639\n24021 34051\n17954 87231\n99379 99978\n17248 80722\n26342 81706\n23176 79201\n52932 58690\n1659 64823\n1503 65560\n30547 94640\n51806 59309\n93794 97347\n1976 16550\n42654 73116\n58302 90026\n49686 90720\n67168 69953\n32713 82269\n36663 99331\n16200 23613\n53073 85425\n41764 79152\n18804 20859\n16310 37279\n48994 92272\n3512 98718\n60927 80932\n28534 68747\n19113 56959\n48100 94116\n8114 38732\n67551 81740\n40872 85829\n1418 62242\n75337 77044\n42275 88125\n36262 56254\n42451 77696\n35605 36127\n19249 23955\n36883 92771\n26548 45968\n37254 68189\n20534 81378\n13947 72737\n50349 91316\n17028 39389\n61895 65538\n44674 87196\n53614 96710\n19664 96509\n45121 57630\n11324 20374\n25369 60450\n96026 96910\n22663 67794\n32748 35459\n50858 61105\n10484 63058\n48015 59525\n28602 95120\n8942 11266\n17230 70246\n26612 48537\n9371 61203\n30124 67599\n49053 58031\n13715 26594\n33348 65407\n34008 67605\n62112 99465\n4190 6084\n9584 61413\n47226 56642\n7673 70333\n36207 45259\n2179 76584\n59872 93054\n43355 64511\n7617 29929\n40101 81667\n27377 65100\n61324 69626\n3465 92567\n23694 89972\n75720 83659\n49598 69025\n63201 75669\n9742 46725\n988 87106\n39064 70450\n28104 48271\n72984 86134\n31893 93025\n19339 47182\n39018 79537\n56039 84756\n5129 29964\n94712 95860\n13338 77711\n27138 59469\n68072 97827\n92301 97813\n9977 41829\n5715 65788\n35734 81454\n73686 99202\n47264 61068\n27565 62052\n55714 73166\n84155 92600\n89399 93369\n12033 33546\n53927 74036\n33450 70786\n60398 61846\n12946 46973\n23388 98115\n1504 5319\n6886 73405\n35075 73800\n20888 54691\n60474 97810\n46304 50620\n17614 84547\n46710 84590\n55647 79640\n8752 76562\n77445 82072\n36043 87593\n29760 64502\n70389 80389\n15808 46804\n30427 64447\n68469 76666\n85948 92139\n73614 84091\n32134 93048\n44551 99090\n10771 56828\n27507 76536\n28985 84552\n62590 99629\n25790 82191\n17263 27938\n63382 90295\n47406 50075\n41459 69603\n49174 73401\n37610 71909\n8971 25353\n20198 46613\n39788 84290\n14503 37992\n76084 97624\n10359 37028\n52767 79556\n21076 54679\n49316 59863\n42679 53394\n70202 77491\n23232 41597\n40514 62421\n71143 85621\n46421 60237\n63828 89628\n39024 75495\n19656 66971\n27233 27596\n54184 58405\n11317 49141\n18874 35020\n68167 87607\n9047 78820\n54964 82502\n47747 80584\n51700 69095\n38352 55518\n11405 35816\n147 12934\n22150 67368\n40010 46072\n27314 70781\n59021 66843\n16985 69780\n16581 83026\n4628 93108\n4749 20234\n61740 99941\n24947 80345\n16056 71719\n17450 68213\n11218 88051\n48708 52780\n12450 51069\n37577 92366\n11351 45599\n53412 91023\n25896 94526\n16563 53402\n35499 92027\n47223 50883\n1535 53821\n48624 52697\n5077 30145\n34431 82493\n14972 41273\n18050 32648\n62952 64086\n64364 98257\n72262 77042\n4733 5946\n84128 91175\n81537 92043\n68924 98906\n11926 23940\n38067 84283\n47985 73875\n22338 73808\n19109 21678\n40231 95095\n3189 27347\n25521 79968\n21807 60821\n23060 56986\n45650 59918\n26512 55499\n77940 83847\n14750 98911\n71222 87930\n240 54210\n9907 53837\n41087 52076\n40900 95231\n23442 97057\n15734 74174\n5360 15208\n41258 83030\n62056 92463\n23603 64567\n22748 26211\n18466 37813\n70975 88942\n32245 85396\n24990 98580\n31061 54727\n27022 54600\n77138 85159\n29667 91953\n2879 37607\n16544 58300\n15110 66443\n81658 89202\n74744 75245\n59227 67697\n46974 95647\n53720 82580\n35958 45529\n12647 14837\n5181 35471\n29297 30568\n61754 71359\n60191 81668\n72927 79875\n39377 97885\n67966 72520\n41416 66396\n28407 91236\n36203 72722\n24529 57063\n17452 46172\n3128 7773\n28431 76025\n13270 86418\n28455 51120\n78085 84185\n3663 6615\n68868 78733\n45613 53891\n3526 8743\n42961 83131\n56337 60521\n42353 88368\n5168 90948\n39186 65355\n1088 81542\n1634 59891\n42200 86811\n13061 44276\n51959 68322\n59951 73289\n4532 42459\n56002 92412\n49901 60067\n52376 96817\n7999 62144\n71589 88015\n68289 86442\n5557 91831\n18126 45943\n12512 82019\n41728 79360\n6526 37181\n40125 52481\n40066 43469\n87077 90890\n34206 85089\n58601 94024\n63687 84074\n18912 46499\n5773 29668\n17217 97887\n4256 91483\n16491 61868\n356 17295\n17536 47064\n33800 34723\n16780 73225\n46524 96944\n44470 67937\n17921 90679\n72818 94360\n1993 42672\n20069 85236\n6798 90960\n21836 47474\n61747 88577\n2782 29960\n16810 52401\n54985 99758\n6653 78501\n4112 12681\n49589 55651\n14498 25855\n28861 65297\n27255 40440\n73018 76601\n32158 70518\n27200 85629\n7808 98799\n6052 17294\n11361 86116\n60504 68847\n8102 14716\n61499 78214\n21130 66293\n9413 83937\n62555 85910\n13273 29371\n25604 25777\n16967 75256\n73037 95013\n32692 67559\n20899 99552\n53540 70785\n47717 61162\n87713 98156\n7816 23504\n1899 88744\n12173 67611\n38040 66425\n48073 93057\n72096 88215\n2156 70526\n515 81761\n22080 75992\n40561 90516\n25008 64054\n30084 37545\n24343 26914\n57393 89960\n59366 69627\n34170 56863\n32809 84626\n74534 78907\n68237 94754\n26870 50343\n39329 52772\n62526 81987\n1798 91940\n14619 78061\n54622 92181\n49413 66699\n39044 86468\n13924 31847\n26046 47384\n51707 63799\n33627 97236\n62731 85222\n6183 79163\n78700 86648\n15433 74040\n26294 58645\n1836 19401\n16449 70216\n32241 76939\n45659 62495\n21901 60502\n70042 84077\n63338 63960\n9970 74154\n43547 82066\n34441 85679\n58522 90974\n3807 93144\n70283 73858\n9529 12412\n47412 60819\n29261 31376\n56575 62983\n32934 62981\n7547 8211\n26472 99227\n27231 59490\n3453 46157\n21513 30026\n10584 57295\n33947 40279\n43986 57823\n9866 11736\n39412 97798\n37230 71729\n24304 97612\n77164 82286\n25031 67370\n76401 96528\n27060 54409\n13758 90695\n23100 97610\n11534 67077\n354 33229\n17005 29514\n34866 36127\n29109 78873\n55126 71919\n15523 78610\n47334 97982\n2498 63252\n36932 78810\n27362 85685\n21025 65664\n8178 83213\n64510 75498\n83370 87527\n37394 51112\n917 41550\n44433 92099\n28185 53032\n60018 73789\n12470 62228\n14076 17776\n44183 92358\n49516 95219\n60137 93579\n25713 41535\n6917 83455\n2326 59757\n7310 26468\n18430 65563\n8831 33353\n3082 53019\n56110 66687\n63264 67571\n29016 54024\n38152 48727\n28934 67446\n1297 69194\n39683 61857\n49690 81420\n48314 83485\n45707 77774\n86354 93567\n43993 45137\n45178 80961\n10968 16892\n21050 74873\n11145 30529\n55580 68221\n40731 78088\n7021 24272\n13810 18780\n19510 37924\n58351 98286\n19681 63230\n13846 35867\n15891 94603\n44897 67646\n58541 73661\n58737 89766\n68955 79793\n30389 64050\n91582 92902\n24849 30821\n47027 56868\n23797 93041\n1190 15370\n20066 32806\n55866 79548\n74867 99868\n14915 55863\n46692 81867\n14710 80134\n6723 31796\n7734 62053\n219 7652\n31681 71963\n25918 52874\n20547 39793\n61395 72633\n61759 67211\n32960 67405\n3951 31910\n46133 97661\n64240 77338\n43519 65395\n52298 68544\n25118 75598\n12064 68736\n27569 41382\n10890 61384\n50063 69177\n75769 91809\n36628 50617\n37852 98780\n194 64670\n43477 49922\n22618 34973\n77448 99396\n26332 78033\n3865 66160\n46752 79047\n39201 81598\n25837 47949\n3425 9419\n19047 99103\n14479 62818\n43060 58986\n40046 79947\n39797 42925\n48082 99357\n49472 55635\n13534 27245\n96290 97136\n88052 96038\n6022 12698\n12281 32588\n36852 57767\n17474 48551\n68245 76353\n44444 71065\n50035 54870\n24495 39716\n87998 99871\n17898 29746\n30540 62995\n23583 48344\n36990 46301\n52787 91780\n89851 97520\n67418 87747\n11727 85524\n66058 95323\n92331 98210\n69972 91083\n22887 75479\n4715 25711\n33046 59471\n16632 98075\n95208 97282\n4621 78542\n18211 19526\n55583 84179\n18297 40644\n20321 53675\n87430 88031\n17101 39531\n8040 84400\n18283 71896\n28049 83207\n10917 46542\n28978 61018\n40694 63577\n28365 55053\n31582 76955\n24865 87016\n20871 35404\n20708 34337\n1804 25678\n8344 60359\n705 5124\n78465 96588\n58252 75931\n45280 98163\n50105 89238\n59163 85725\n4384 97104\n56154 91631\n42071 75399\n18577 98082\n32911 43268\n7459 83313\n17178 90584\n20279 76392\n21219 57354\n50159 80243\n56092 97071\n6318 19785\n2620 62766\n11528 64646\n7618 79972\n27927 68234\n80230 89197\n16621 59689\n59973 98213\n25704 85944\n1163 59835\n46422 52606\n18972 57750\n28916 81733\n40697 57575\n47077 70694\n36477 50427\n83611 97090\n40446 46218\n60013 78522\n13424 74877\n13779 51314\n58406 81704\n21421 98303\n42978 81924\n34050 74240\n33912 68207\n8047 42538\n322 22057\n21285 75897\n51132 56570\n26942 49553\n15624 46492\n34598 78158\n59551 84689\n29773 89030\n16905 39871\n21245 31590\n62471 96976\n14334 54192\n60724 62355\n61755 93616\n10087 59709\n62745 82200\n34008 99174\n36209 44618\n45734 98347\n2577 66714\n89259 99894\n55464 60583\n10975 81157\n29115 88817\n17066 74572\n43716 65699\n24440 64694\n1478 22231\n21719 25721\n5352 50770\n3192 85443\n5830 51932\n56926 86862\n27968 78935\n38682 95059\n15635 49497\n6380 56372\n13413 84771\n3490 81994\n80208 85856\n31922 98418\n22235 29777\n38300 97262\n31678 73195\n30261 37019\n64212 88949\n12869 26997\n52791 76252\n38021 64628\n65296 92687\n81606 99741\n53191 94579\n71022 72015\n15897 63899\n7639 28203\n76459 76707\n51488 74179\n38930 41243\n33944 48319\n3548 12094\n18828 37821\n16266 76007\n39868 98704\n5225 91587\n60810 72624\n26778 78091\n7075 10961\n18402 55878\n92094 98784\n47704 52403\n7756 39842\n9506 35801\n5759 75624\n45644 48992\n17335 22104\n2727 9995\n3718 23121\n12344 79899\n5880 26761\n150 26759\n5307 71421\n10410 59863\n34715 79788\n10613 58062\n75248 96726\n10237 59296\n14649 66641\n24541 49712\n3259 62202\n20551 98492\n26996 55985\n8653 91458\n61570 69049\n68513 98830\n4306 15860\n10538 73283\n45186 91629\n34967 72163\n194 56556\n1867 7991\n45772 62286\n29469 69289\n74781 77131\n8339 98012\n24668 87086\n29996 77156\n7179 33514\n65946 81952\n5087 68399\n5553 80281\n71035 89421\n83925 87959\n4515 92133\n22147 29456\n24801 74752\n64661 80551\n3567 43886\n2846 44570\n23356 70901\n8306 88406\n2765 76963\n3203 12211\n2750 89783\n35109 82753\n75705 91225\n71860 87176\n53470 93014\n18133 34642\n71830 95671\n83219 90234\n29623 39792\n82899 92471\n41055 42676\n55305 90672\n6320 73382\n17893 41529\n9963 42083\n14881 54699\n22838 48877\n78268 94205\n194 77954\n46898 87386\n18412 26615\n40461 67621\n46622 87236\n45589 45666\n20870 89041\n64876 71707\n64535 66414\n73101 74974\n36484 77967\n46626 72560\n26574 68323\n64417 84601\n42053 87317\n71744 73239\n17952 61391\n10482 99822\n51480 52429\n58437 94348\n1658 65599\n63369 92889\n7158 69676\n509 98173\n6807 44822\n11029 43179\n465 88039\n4749 91786\n14327 32082\n4823 85342\n17635 42567\n72076 72165\n14086 65554\n47203 94074\n15330 21386\n41780 98411\n66038 94651\n16672 71156\n72693 87500\n74923 97071\n152 36137\n20578 90765\n21180 37384\n23420 97109\n50067 78787\n18645 20738\n13002 82178\n66270 83010\n7035 54125\n4260 41307\n75702 82462\n14397 99341\n49130 60331\n18921 36254\n87677 90234\n28685 43004\n27661 76449\n18955 36293\n17031 26261\n17949 34580\n26860 79150\n62442 62664\n75517 78895\n39224 66678\n39694 75058\n23196 92257\n18611 63527\n74752 98958\n10087 14733\n32698 99221\n11124 70824\n36434 96312\n4933 32985\n23838 52944\n42216 46373\n59968 96330\n18193 96725\n66281 74173\n26651 35240\n22854 86356\n11893 84788\n48516 94743\n45374 63548\n28290 86566\n54913 77314\n89969 94993\n30977 64771\n20162 52276\n7247 58859\n29234 63515\n7479 91912\n42972 68399\n78001 98783\n54536 65843\n12682 99331\n23962 69560\n21254 99524\n12264 94147\n3225 67828\n12574 63178\n3136 91832\n7530 71119\n4345 89598\n27255 51218\n83084 97633\n15832 93978\n16188 48013\n65643 74043\n6196 93291\n8518 85977\n15241 17491\n45536 78615\n16192 63552\n18060 66333\n52845 54616\n56684 83121\n27055 89894\n94159 98536\n1639 5278\n48209 65032\n3694 9767\n38547 95932\n47149 99336\n23367 29728\n10778 51324\n79955 80355\n45244 57673\n9879 87596\n66505 67474\n24627 37915\n56693 57710\n3548 78297\n63677 83574\n4808 98837\n39619 57388\n1326 48640\n36706 41730\n20023 20778\n42499 83969\n16223 76089\n84226 95054\n29735 74936\n20569 36860\n74716 96186\n33401 83292\n3880 24652\n5444 67652\n13742 84715\n83591 99807\n25858 53302\n34725 57455\n39264 55911\n17122 36492\n48638 65502\n30776 33948\n40478 76314\n11125 39432\n18420 19729\n58059 62479\n19390 46341\n5009 13587\n6883 79976\n63307 65231\n29257 33859\n88569 96637\n129 38625\n7674 9570\n6118 7453\n6421 46354\n6003 7417\n73670 86532\n61001 88457\n49929 63366\n36348 76686\n16984 71187\n71062 94882\n30022 40394\n1792 55317\n14977 27629\n66121 95841\n62725 73817\n10557 14812\n12678 93205\n42618 93176\n22658 23850\n58039 76719\n64158 68276\n15874 96664\n2447 23853\n11833 16242\n15325 43869\n16279 88225\n58159 76399\n39134 73259\n64907 99224\n84458 97114\n7990 43756\n4820 46095\n19454 72204\n61503 89685\n1049 79450\n645 59585\n31502 54188\n45400 97487\n39069 48084\n75784 83730\n7927 54943\n35123 55278\n28348 46311\n14359 85887\n14328 38603\n14883 31611\n50135 98504\n39204 81725\n25712 97799\n60856 98684\n40357 48121\n17092 37620\n5378 85685\n2136 13033\n22632 23817\n53422 55285\n12483 78953\n9383 80166\n79051 99784\n15530 64787\n41069 43101\n11939 58287\n18409 25443\n9487 89093\n35840 53579\n36773 53736\n24671 42368\n39040 97633\n64455 89149\n4396 58272\n56214 94999\n61030 85284\n29283 76856\n4592 91455\n19015 85277\n12487 57517\n49332 56520\n48736 59809\n73942 80955\n79502 86295\n69467 99720\n4667 85930\n48102 94671\n70493 71629\n29941 81938\n39789 43086\n2447 21997\n41080 52887\n17269 29665\n18698 63085\n9247 92481\n65578 83228\n7396 28637\n9905 52272\n34655 95068\n40682 77715\n26196 49494\n39246 67030\n8469 47590\n6765 63419\n43951 66246\n69499 86718\n20485 69762\n52524 99070\n86302 89373\n16295 71699\n51749 81536\n25313 38106\n31334 76129\n6111 81068\n82 76900\n58403 63280\n57310 83225\n67859 93523\n3043 66646\n19859 80983\n77337 88238\n30246 46894\n33573 81119\n1645 78727\n77006 79194\n8537 55688\n37021 79772\n50277 65883\n28714 42563\n38554 44621\n20779 91752\n2723 4025\n6751 69776\n54280 75892\n13317 47219\n12945 17247\n1236 45580\n61082 61683\n19703 70802\n38684 51911\n38345 74115\n42493 47877\n12474 93157\n87838 89731\n21965 24049\n42597 65654\n25797 51942\n49929 52382\n18248 98162\n74480 80031\n16043 99500\n72144 86664\n4624 96467\n35182 47069\n76815 86056\n18754 74712\n16429 74264\n9151 59395\n27286 82775\n176 51561\n25885 83864\n11112 40058\n48364 48920\n21705 63738\n74489 96051\n10505 47668\n73529 76898\n79923 87708\n56191 56737\n19056 49859\n20953 97742\n67491 69900\n74349 97261\n4429 61617\n22059 36344\n34823 50560\n12555 53976\n822 74022\n82044 86024\n5601 93206\n53718 58408\n20808 53219\n10434 11331\n35215 79351\n11851 27283\n65410 83499\n43093 62900\n23378 42289\n2296 46693\n37726 94458\n6438 32584\n40981 62008\n12651 94240\n26611 62955\n5097 97638\n48345 84179\n59784 61634\n30029 70239\n23882 68876\n12934 63604\n45208 88116\n76677 86872\n10723 60708\n71820 82418\n788 60130\n8585 13112\n39761 78349\n23371 80868\n22439 75925\n15591 93299\n47876 84061\n42993 94705\n5063 10861\n44682 92750\n58204 97013\n20242 46089\n90570 93453\n77225 94497\n47956 87687\n9823 31544\n17660 66551\n42443 99485\n26376 70636\n35022 57322\n37730 92907\n7768 73834\n48303 49114\n66073 82147\n13641 64925\n34251 36953\n18162 27515\n13800 95857\n6036 34442\n31485 53362\n40227 82750\n3807 46738\n46379 61276\n58599 78173\n56177 93009\n26641 90944\n47093 64150\n49361 85640\n91243 98687\n13854 67737\n4941 30094\n3457 4688\n18314 89512\n46996 91832\n27743 46459\n40942 70868\n86867 91315\n23439 83602\n43363 82371\n86390 95224\n36556 62440\n33450 82627\n39212 83628\n12474 81926\n50268 80087\n18882 56675\n39293 84353\n40349 78018\n6720 69189\n5564 98047\n7512 97028\n63559 80966\n11800 47704\n77553 89106\n33661 90980\n10554 77067\n17025 42510\n68057 88032\n7448 20439\n67 19990\n52254 71034\n32594 41776\n80481 99142\n51053 69599\n7229 62214\n84978 88649\n26991 82555\n52664 57699\n49175 51419\n39020 55719\n41517 74585\n48298 83622\n52784 83074\n11826 76803\n3617 40176\n28006 72874\n24847 33467\n65062 83666\n14606 28909\n2165 65180\n22072 64630\n62133 81879\n14653 86878\n4489 85587\n61878 73959\n13725 64655\n51565 64098\n45553 68674\n16419 49610\n67476 95699\n58783 94288\n46191 65568\n34193 83515\n20219 93198\n14217 27758\n32681 53337\n34753 40765\n49863 62042\n43046 49653\n8881 66350\n67486 76375\n66178 83362\n57319 89285\n23400 77903\n82269 83082\n52639 86313\n5611 94326\n26224 80844\n50773 78077\n1921 61829\n75827 86637\n18601 98950\n54832 89649\n48459 85731\n67516 79674\n28536 69086\n60791 86296\n52292 83378\n42149 90257\n80941 83448\n21107 56030\n72546 83655\n33138 83350\n30705 41219\n35070 68493\n27922 85274\n72261 96950\n58769 83270\n48837 60513\n49114 55775\n53089 63837\n18738 76022\n10696 87556\n13086 89594\n8128 42169\n17830 63373\n19185 23481\n5374 89027\n1775 71220\n10922 76468\n23924 77273\n55516 62378\n10271 57940\n33237 60033\n48174 71283\n3756 70098\n28899 66437\n12162 39224\n46583 69292\n42310 88067\n23122 50410\n4454 34049\n30685 37804\n36517 42861\n2446 24498\n79913 85215\n36603 76282\n7378 43150\n15106 60127\n8555 66667\n27385 55976\n90113 95674\n75796 96098\n9652 96042\n6506 59757\n22187 48546\n9770 75021\n20708 45207\n51592 81453\n43576 44944\n34838 91830\n32568 69716\n2982 92788\n46216 76497\n14850 61330\n43822 61715\n17961 84896\n10691 83113\n57219 84029\n5776 34989\n3499 64171\n3176 5405\n73259 89835\n8976 65596\n70812 96688\n31571 65728\n3012 16906\n5261 36225\n5372 41012\n3385 86267\n73673 77978\n10641 58621\n11624 91488\n1020 9163\n37030 68081\n78974 99645\n9021 49306\n45457 97512\n7697 63400\n164 58171\n25739 47426\n20327 39499\n12949 63501\n16567 97276\n16811 66106\n69982 85974\n50745 87820\n32030 78103\n42407 90689\n18967 47252\n24478 86322\n4538 89853\n3712 49000\n53002 78137\n20903 21427\n34153 90323\n70993 89914\n17760 67422\n68543 85333\n9917 26039\n85648 94908\n1111 29059\n3479 42824\n43314 85481\n3123 29787\n41375 63696\n14 41741\n11442 76122\n47652 85931\n53419 72316\n76050 83159\n5496 27360\n38397 95242\n54787 99320\n16669 99418\n3269 70322\n14216 49757\n6559 23546\n21442 26755\n21797 31415\n22249 87020\n38752 77483\n4254 90819\n4222 29291\n5589 67644\n56273 94880\n24042 79025\n27473 85959\n23769 38412\n73567 93736\n9701 42751\n66954 71783\n23029 38722\n3564 58013\n26025 71264\n8546 86537\n15520 47971\n40658 64921\n56931 66316\n21988 99605\n18105 31452\n13 52205\n8829 14677\n7750 23750\n6837 98478\n539 27628\n22043 91010\n24983 75207\n57495 83077\n36411 68008\n24533 31185\n80690 93036\n44570 66835\n7567 73299\n39364 63190\n12280 13766\n22764 76633\n19912 61223\n19676 20068\n2377 46222\n28913 30763\n44885 68635\n50862 94241\n11357 41064\n75497 89443\n11816 69758\n25143 65625\n1079 12138\n12087 93898\n31805 38781\n37070 78707\n33468 81057\n87219 92171\n80150 84308\n34245 36121\n15909 38952\n16182 35479\n844 87443\n37861 62785\n73346 98580\n37802 90347\n8104 40014\n55723 70612\n13907 65650\n28330 51627\n18535 70355\n12847 81087\n35349 77357\n31209 37526\n28196 76922\n37638 96933\n57539 79077\n45660 74969\n14740 61403\n22069 70508\n35267 60263\n6533 52396\n79734 89622\n26029 83397\n39503 72416\n70959 99547\n2914 22319\n5559 70129\n7924 56846\n9090 26349\n11811 41603\n88035 88991\n1811 62930\n52288 99085\n69872 93562\n36817 54859\n15080 62122\n7677 54445\n19788 86123\n38923 59954\n14014 38890\n57576 92867\n12708 55467\n20402 32653\n1352 92957\n2777 37566\n29709 63468\n51662 97138\n54426 79981\n17584 34017\n32269 70059\n51964 56374\n12237 38051\n21409 33739\n17027 27897\n5636 62746\n9128 62329\n17444 92603\n12494 70983\n88070 95425\n13350 18385\n62821 90006\n50586 89118\n1711 49470\n22528 79240\n10720 47744\n17638 91795\n37282 74109\n16257 27158\n16427 38937\n55960 74649\n6188 41957\n32256 37000\n68133 99083\n42913 92013\n64417 68383\n16149 21785\n16428 83185\n5433 20432\n31861 32182\n94346 96508\n19189 66217\n17052 61525\n41647 81319\n34307 85411\n21696 94961\n14348 97665\n5308 16645\n23826 45895\n14362 90836\n56720 90456\n57537 61611\n95982 97121\n48103 72981\n22850 44306\n58221 71590\n27071 27404\n14883 45381\n36650 66342\n28402 80045\n48947 88825\n13996 94793\n34121 55869\n20673 69545\n67823 85708\n63555 86203\n25128 97215\n50092 89009\n55390 81889\n6882 35546\n29766 48537\n28419 68878\n41234 41777\n25389 96473\n24632 55129\n8341 98240\n42182 44096\n27753 44132\n55647 93346\n74329 91652\n787 90747\n74452 83795\n846 75014\n95177 96193\n11145 87742\n3210 62389\n49631 49742\n16038 35448\n41179 44679\n34826 93510\n25728 75200\n23204 34568\n39380 55240\n50307 55876\n14957 62327\n26656 78698\n3309 52410\n81470 94151\n17850 96014\n2613 93542\n32643 37946\n30488 71062\n58597 97872\n39656 83517\n30805 63710\n41034 66892\n18617 90001\n13741 97624\n27337 43259\n82180 89236\n21141 94693\n31779 83807\n25801 84091\n58905 68842\n46974 83477\n28503 37773\n68177 79592\n23117 24439\n49216 77034\n41461 81219\n50306 74881\n18051 63535\n9045 16522\n23694 52365\n44235 56540\n4071 34803\n5474 88098\n49928 61812\n7018 28881\n6798 47242\n3726 8295\n76785 82664\n77414 83345\n23206 84140\n11553 20035\n22077 88987\n70538 83019\n33898 59616\n14243 23931\n8087 94597\n41438 66821\n49256 83148\n19691 22525\n29845 84139\n45582 96821\n76436 78197\n47659 70626\n68884 95899\n52457 77737\n23664 50890\n33036 36304\n37761 86158\n62169 74794\n18919 24257\n70870 81320\n29242 47117\n86804 89154\n8741 31385\n17749 96915\n58283 60110\n9903 73699\n52829 57758\n38372 85020\n2529 41895\n34604 64775\n21571 94617\n27426 40544\n15118 99795\n21759 75878\n55051 62577\n20098 63731\n10081 80793\n6453 85547\n63297 92426\n27625 85452\n2518 10347\n4260 57819\n28401 94491\n44871 53364\n4925 19418\n8936 59752\n50301 51993\n16430 65787\n3193 68992\n5332 43593\n66929 87679\n49970 98511\n36896 44862\n36606 45224\n57674 74731\n61915 84853\n60966 80613\n12717 49014\n40017 89189\n36138 94319\n19480 90548\n2426 52860\n59561 88629\n73115 93315\n15279 37195\n3501 81794\n26385 86810\n35444 51134\n22947 86481\n66158 94480\n14486 87581\n14212 30890\n30554 49880\n41791 70265\n32105 80132\n22127 27392\n32094 87259\n31254 85506\n60676 71644\n48222 75901\n4157 91846\n21767 57075\n10280 62181\n20097 29312\n22253 64679\n20857 62153\n13214 51181\n4031 92447\n1888 71957\n25505 59570\n418 21195\n54682 88876\n55674 58119\n40228 57584\n36737 74487\n39162 70462\n10492 58470\n14939 23715\n23429 86826\n18617 86193\n39776 57328\n45633 94250\n23194 70280\n17187 89144\n49901 63170\n45226 60324\n71132 95327\n51877 73632\n38176 99723\n5636 43020\n48653 53492\n19112 38906\n2035 30890\n43786 72423\n13446 88677\n510 89948\n72730 83388\n79298 91768\n4005 39846\n28447 77464\n11841 43178\n51897 65890\n44670 85749\n24244 39401\n15499 72408\n13797 87511\n45394 56740\n72600 78226\n46 79427\n55295 97416\n49535 49872\n206 88289\n25392 39256\n76714 90295\n52002 96558\n14210 34076\n60961 70046\n61941 76567\n39033 54497\n60486 60824\n51567 67813\n282 64838\n33264 55941\n731 35601\n3098 98328\n31604 87283\n44947 49840\n1904 18652\n17857 61641\n60683 78805\n42286 81048\n1367 79270\n45329 69430\n37049 86684\n63876 82817\n18226 79980\n59463 79065\n54747 81344\n23858 46398\n18748 51781\n398 80354\n44362 59297\n18549 92765\n78821 92482\n2589 57644\n6772 72759\n3000 52684\n12783 27805\n48985 92169\n21559 79904\n16766 38710\n13110 27723\n47212 49875\n35280 62446\n85472 99119\n60455 83094\n9325 90480\n74332 79680\n89319 93260\n8277 88131\n13511 29224\n5583 45947\n19092 26033\n1932 49595\n45229 96922\n26479 27681\n59799 76470\n64668 69931\n7158 55196\n74669 95393\n28209 93205\n6176 51955\n9348 59642\n2781 88908\n32259 96322\n14070 62729\n65556 93492\n38350 93996\n16813 37597\n6084 32256\n34187 87660\n68606 99589\n29153 31120\n347 95677\n56947 81397\n27711 29130\n15856 22996\n29078 70731\n58281 71013\n20385 74682\n11541 18025\n51194 98457\n74216 95527\n537 37673\n89094 98842\n87843 89388\n83186 99646\n27653 29547\n35414 60847\n9765 36938\n22957 99390\n30732 72676\n43355 47464\n9519 19382\n22137 76090\n47882 51138\n17972 34300\n1233 71929\n20881 56482\n20542 37622\n12455 18801\n6109 9818\n26325 96472\n39991 98123\n31532 57816\n4468 56842\n66787 95554\n14420 68484\n35085 59301\n28076 50732\n25469 39287\n42154 79652\n30727 34087\n39393 74842\n48185 98879\n36018 97414\n11153 62585\n9651 18727\n1088 37432\n26337 33680\n4306 57311\n30586 54395\n4078 52342\n55739 88550\n15840 93223\n5041 51762\n40977 87234\n60667 83945\n18218 38169\n56240 85010\n62796 74564\n33232 60328\n23380 62108\n7260 83747\n46755 66842\n4861 34161\n4334 94216\n16209 17243\n58194 68866\n12607 28211\n29071 76700\n62634 75553\n16318 46384\n60706 71815\n41102 71213\n26963 76750\n36141 58882\n35130 68305\n1720 17944\n5473 15374\n4843 24141\n3070 48994\n3574 3935\n5713 38112\n72575 92053\n66279 91905\n67123 69175\n27133 38945\n48057 70480\n22657 32257\n484 60465\n14594 95215\n60237 80255\n11529 90390\n26823 83300\n76592 88874\n27079 62125\n7344 78882\n26742 91078\n32010 54732\n78296 84642\n74706 89076\n28923 45492\n6643 97371\n47081 83301\n19508 29197\n28499 98674\n9951 59974\n798 98342\n74985 76776\n27598 73902\n27015 27997\n10185 66275\n4910 13310\n48806 76546\n65979 67501\n38288 85118\n44466 63235\n18034 97194\n3425 96718\n86830 88186\n3723 9967\n6621 91640\n9055 85216\n5062 32650\n87725 96146\n49924 78914\n98850 99958\n22383 40873\n15404 34991\n80712 90132\n8601 89294\n2926 47259\n34632 86612\n16048 72041\n21358 65371\n55038 57331\n15135 71202\n31910 41606\n43984 44372\n67536 78755\n5920 35770\n63913 99928\n18512 70799\n39853 42734\n30894 90126\n8389 42700\n71987 90767\n22782 77482\n78615 79490\n94498 99150\n33852 98280\n31811 94964\n31552 48386\n23417 31165\n52366 59478\n6953 8919\n39827 90963\n8285 96072\n17189 80396\n43610 72375\n23716 91070\n32197 70872\n14850 79310\n57770 70874\n2398 82038\n50163 84406\n35393 58932\n21235 39152\n4880 51148\n6289 32585\n44609 52269\n56875 70680\n1461 89439\n67072 71885\n83812 96483\n68799 94063\n1193 92902\n12035 78588\n8662 99166\n9501 40791\n8618 37921\n56795 94366\n367 13738\n20666 76371\n53076 71560\n57488 86602\n47308 50514\n49130 53820\n25909 99913\n66164 87511\n54293 66866\n26412 48148\n51418 73736\n16214 18249\n19928 82526\n24798 53895\n18402 20758\n28701 82745\n49239 79224\n2415 62501\n11421 68402\n33303 63679\n945 20409\n8940 86700\n57764 61577\n6939 20767\n10349 79896\n9330 96544\n64144 80301\n26509 31050\n2772 6434\n3579 48570\n35645 73078\n63856 98642\n14863 78663\n58082 70149\n38737 98891\n8265 48884\n5327 87923\n22598 78153\n38947 69735\n42884 48773\n68672 84952\n88791 93077\n12935 32669\n47244 96600\n31317 71949\n8158 67037\n27566 83984\n23548 40685\n52715 95296\n18564 43745\n60527 65540\n3483 51863\n25317 45096\n32485 38378\n5899 58747\n42348 59121\n92182 97844\n12327 75089\n60731 78373\n60329 63638\n4401 56008\n787 34045\n7648 25924\n55572 63819\n20942 53611\n14451 91999\n58925 65513\n12770 91813\n1744 75565\n6873 66401\n1189 11236\n4665 47781\n19405 75866\n13238 77125\n9726 61554\n14614 30381\n73157 87399\n50066 73426\n20645 72904\n39360 98791\n7902 93272\n38555 90954\n66636 96823\n23722 73404\n8918 9885\n21428 72169\n59830 88170\n15789 97418\n41464 64250\n23194 37993\n48339 99617\n27993 43998\n2390 42909\n31916 87122\n16274 82568\n4083 88735\n1188 77655\n28014 97251\n11537 33141\n7876 43157\n17476 33805\n69983 98549\n43643 93724\n35239 89084\n6929 8293\n29 81663\n2266 71199\n2657 17054\n46352 90639\n48383 50974\n53225 99567\n10711 58378\n75757 85800\n16439 92795\n19816 27083\n38041 65472\n3741 21532\n8739 96513\n51671 52120\n63217 96281\n12019 20951\n50001 63527\n46185 65430\n30326 36211\n29830 97447\n46755 91679\n18772 71339\n41328 99691\n18770 41196\n58433 69382\n69295 87696\n44351 97692\n18454 26051\n1041 47666\n20356 89115\n56147 96057\n89628 99966\n47151 98696\n75490 81757\n46615 71523\n61428 77148\n84825 88973\n20870 77677\n12655 86363\n2856 13777\n67516 78460\n17729 56327\n51501 63104\n76670 92189\n3002 12805\n4199 29567\n29546 97449\n12784 30840\n53255 83278\n71719 79972\n71766 75473\n36683 89781\n21821 89917\n47133 58985\n37959 50246\n22750 65897\n32502 32874\n21813 29052\n69464 71099\n11444 30171\n56638 71270\n61702 83677\n61824 79262\n2952 93823\n29281 50742\n624 17358\n69966 77155\n72183 91794\n6842 78267\n12500 40526\n7792 79799\n43444 81516\n52569 58562\n6252 47997\n67664 81125\n4889 55368\n77073 95847\n63400 76292\n48442 93913\n15770 54569\n62040 81585\n15597 17972\n23573 64977\n70206 85712\n59147 99483\n8921 61226\n94994 96731\n46480 75912\n25744 84267\n20597 48591\n3824 73995\n57869 59885\n79686 99007\n27405 92827\n52456 98903\n27709 66512\n60955 63102\n63184 64261\n16177 67274\n35150 55757\n806 54141\n48595 79714\n15599 69860\n24595 68549\n30487 70741\n19959 55135\n16674 36596\n44252 71331\n1534 64942\n95274 99762\n39509 56017\n52010 54747\n3375 23256\n3319 14276\n20560 53605\n11146 23552\n14687 48502\n54405 56917\n18190 53920\n13496 27959\n54045 70937\n18958 34336\n27952 39204\n31999 80730\n42880 90979\n11165 18939\n2257 50970\n50966 77842\n17439 51175\n6413 78792\n39574 41604\n63434 80835\n24958 64883\n27423 61339\n2414 12955\n6347 17681\n48569 63987\n16411 32108\n22979 33402\n40600 66381\n66542 91239\n10071 33068\n19823 66891\n42306 99145\n65557 91207\n48333 75475\n22696 57440\n26031 64781\n54191 89675\n67215 89767\n21539 82150\n19728 61676\n30352 77269\n68236 74962\n55707 59491\n2272 17740\n59449 61752\n81459 90358\n44553 81041\n11197 75469\n67667 78246\n19154 57514\n14022 61725\n7636 41503\n59765 99923\n21492 46859\n20301 41897\n46466 98513\n14418 70821\n60674 65189\n3613 76485\n74632 91547\n32929 34327\n59984 79413\n43432 64440\n22347 31721\n27084 29034\n3111 32253\n5256 96954\n37961 50578\n52304 85979\n60220 93206\n5443 84998\n15088 52688\n13768 32843\n3108 29029\n24974 87939\n27234 96937\n23678 25488\n63090 82208\n8754 95806\n43386 98879\n12015 89840\n8160 41097\n545 61335\n18483 46884\n46113 97648\n60728 64875\n27716 30285\n13385 84199\n52070 60309\n72204 75478\n39014 82901\n40215 88459\n30700 55615\n70202 75355\n41714 68603\n31499 82846\n36398 83055\n59673 83227\n79048 91552\n66418 75646\n29696 52700\n27903 42868\n40227 96722\n7661 98287\n26242 26924\n57379 72132\n24482 57673\n59862 73758\n18517 85547\n20855 33300\n40696 73306\n24109 98399\n17536 79594\n74726 97523\n52443 97819\n3874 82691\n4845 87533\n13737 67257\n12027 74187\n30341 43038\n50888 59136\n47982 62803\n64500 76855\n34099 60666\n23996 35935\n23060 76911\n23438 72722\n21143 52025\n32176 47331\n29057 70344\n9896 81217\n33205 45451\n26667 81968\n40013 48733\n90214 91211\n46529 86161\n20249 63632\n27418 66220\n64937 83892\n41627 95365\n12485 73197\n95098 96482\n3077 85723\n13645 18819\n16249 19966\n25862 27791\n45455 51758\n29795 55860\n29548 58597\n18926 93713\n81307 85642\n18476 33154\n80906 98301\n37721 79708\n43948 52742\n88155 95053\n14698 63840\n25009 57284\n75576 97753\n7911 50175\n60375 67724\n14414 15554\n334 26405\n30074 52675\n29067 36639\n25087 97386\n29856 41637\n2177 95018\n46279 92338\n3360 97876\n7906 93708\n18574 71916\n64463 96467\n5193 6810\n63857 76009\n19273 96144\n8193 54827\n25630 29129\n5911 94707\n39956 61605\n24903 87864\n11933 44177\n43011 89603\n22623 76295\n55085 60752\n8159 22986\n88279 92643\n33532 43130\n43149 85907\n57068 68078\n50877 80272\n17168 99743\n8182 68285\n25180 87670\n80070 87323\n6604 99945\n30375 52396\n2432 88452\n16156 77479\n43711 91752\n52683 97281\n17210 29080\n56758 57644\n3167 94248\n58977 63760\n43149 94235\n22773 93535\n92111 98899\n53134 95280\n4518 74965\n42820 53576\n36187 63005\n82384 84844\n71159 94104\n97627 98410\n32264 36578\n26514 55662\n61589 98435\n93769 96475\n51521 59162\n12871 71977\n17040 80761\n24398 79690\n75790 99222\n77890 93261\n1290 13242\n6913 63378\n20196 51323\n47190 99621\n65007 86478\n57584 93644\n32170 55365\n59614 68931\n40289 75190\n28649 56070\n15762 99294\n73871 75495\n10778 49692\n8738 60759\n42619 92620\n15351 21818\n14227 56201\n6388 76300\n56326 88455\n35396 66607\n32259 39992\n35214 82359\n2455 36795\n661 30685\n21804 39957\n28449 56351\n20339 62501\n51749 59140\n43493 63144\n48416 89597\n71548 78960\n75285 88410\n72343 92354\n17169 65135\n51598 82448\n53000 94570\n11204 36986\n25738 91247\n8716 94568\n49434 62807\n8481 43617\n18332 99949\n26920 88533\n18126 62460\n15971 96941\n17570 73524\n45513 50417\n27048 83640\n45031 48380\n6500 41138\n97612 98173\n76664 81705\n77294 79410\n14128 51090\n5654 66542\n24129 43507\n28740 78841\n34788 87657\n72337 91318\n24046 39133\n38697 66390\n40071 90001\n45675 46413\n41770 86483\n150 26621\n8045 60169\n38996 52265\n34811 92972\n20889 23715\n13889 79979\n45070 82596\n3967 18331\n89007 94358\n39054 85867\n48700 88404\n23167 64758\n71778 93498\n52833 76261\n2275 32394\n71464 71831\n47926 80766\n16163 45890\n18638 79510\n48427 64816\n5974 95054\n20515 37498\n29999 46629\n36078 78605\n16446 20155\n20540 58947\n14021 83459\n51008 97774\n14213 25608\n37791 56381\n56876 67264\n6554 84879\n14447 76766\n36145 71766\n19357 77779\n71736 99560\n40489 76141\n36982 43248\n44175 75582\n63052 76930\n34209 73721\n9778 93162\n39540 61509\n66071 75511\n24431 62247\n61789 66098\n61269 79779\n2007 51791\n25297 98573\n28152 56826\n26474 29848\n33274 76757\n12925 21763\n58859 73020\n37163 99476\n17421 22866\n43894 66285\n59029 84765\n60586 66927\n12544 15399\n23012 70535\n20454 91119\n9144 65225\n69618 92138\n43841 71850\n22703 64194\n33671 95919\n64640 80872\n14303 64887\n23154 41246\n22368 30718\n259 84529\n33693 53576\n19137 39200\n68592 91945\n29799 32298\n1187 48682\n18927 46650\n69483 73404\n10888 85555\n16216 25841\n39561 74074\n30166 84933\n2360 27419\n59528 85697\n27186 43641\n33050 83687\n65181 95633\n65911 84465\n40125 41182\n30930 97019\n9954 84120\n25042 45615\n33763 70585\n25588 82623\n43388 75904\n43506 86547\n72133 91348\n42777 91615\n15724 49281\n23586 53266\n16301 60422\n4942 67259\n45360 68234\n41117 81523\n45203 60153\n13270 61455\n5615 95830\n63051 91210\n11639 14332\n45449 90639\n7471 12654\n21521 80251\n23924 79803\n24237 59556\n52136 90548\n50294 65688\n6900 17908\n24017 76065\n10995 43904\n10435 54270\n25719 76029\n71 99928\n16787 78249\n31304 87431\n10132 25790\n23686 26058\n26359 28259\n17943 28569\n38451 52771\n20430 77597\n95061 98192\n2181 8298\n39991 87116\n4605 57695\n23046 39893\n48122 90677\n8217 59772\n26876 49721\n64407 90834\n12362 53144\n28922 41683\n21940 30098\n45764 57533\n66281 76073\n30754 52035\n20104 33947\n50905 75880\n34296 37056\n2155 16670\n84877 96076\n32193 59900\n77730 78797\n10725 15854\n38693 84809\n4729 25032\n17942 58258\n67106 96908\n5912 57023\n19463 87236\n41124 45968\n12080 95376\n19246 78991\n65571 97240\n29973 34258\n26747 65576\n71191 87518\n12468 12585\n14612 69968\n62496 98500\n8055 36330\n62791 78336\n9471 78132\n16731 19337\n2950 51419\n46141 58838\n69217 70304\n51495 89237\n58080 70406\n12535 44519\n7855 86517\n13910 34554\n75585 90978\n35231 42907\n24013 66522\n39716 86630\n49097 67251\n3911 52206\n2612 99386\n21418 95919\n3822 69904\n9080 16715\n51523 73410\n32816 99033\n27017 79885\n85 27238\n56240 86985\n52167 64384\n78489 91509\n20428 45538\n33866 65515\n14732 26223\n57611 77403\n8636 68684\n15244 70985\n69806 83157\n73683 86283\n12147 44555\n21149 94215\n39616 65024\n70984 90519\n35339 89895\n21990 48482\n70450 86140\n1935 99183\n18361 69400\n25521 38070\n37304 99833\n8945 40084\n74045 83982\n49029 55335\n19305 85783\n67801 78422\n2849 74718\n24690 54773\n20096 64332\n30777 83774\n36417 82429\n48717 60055\n19758 90124\n8476 68103\n71407 98863\n5753 42374\n67542 67680\n513 61091\n36388 61994\n57275 96837\n18469 88762\n27161 91477\n23028 41959\n24737 83423\n1236 68980\n55616 68159\n37710 66668\n28730 69644\n50298 55503\n67995 80513\n62332 96011\n73557 99664\n3106 30936\n32180 62558\n57367 99143\n5810 35689\n55461 72071\n54224 91123\n25601 29007\n7196 57466\n39882 73794\n21407 99094\n57200 65070\n3851 89513\n39460 73806\n38957 82673\n1260 60183\n7527 24340\n79835 90559\n11795 26039\n23814 92910\n13203 30957\n29323 75124\n39028 53567\n40262 52846\n17645 77075\n26519 48365\n58435 92857\n43370 94849\n36804 60604\n2950 82165\n27410 60944\n9887 23841\n55935 57732\n68603 82654\n17195 43744\n7754 69330\n36101 86377\n76270 79281\n93173 94542\n75098 94679\n16041 66087\n24263 32490\n8238 83463\n58018 91183\n44078 80711\n63261 67165\n8001 59581\n53956 91097\n65130 98002\n1133 32420\n30532 71637\n35171 70725\n32345 57379\n4756 22244\n18210 79459\n36514 66763\n63292 79600\n28742 47499\n68672 86035\n67837 99236\n40360 52575\n428 83683\n79028 92639\n19378 21091\n40068 84160\n19493 94589\n25240 76597\n15775 53187\n4496 83281\n42575 99081\n39898 81451\n43674 48920\n9656 62317\n22751 67741\n15278 16424\n45963 63671\n4570 80764\n10878 24636\n16340 74200\n1439 22446\n46672 84742\n77642 79506\n49448 64376\n7153 53760\n23826 47708\n39444 85482\n37990 94599\n6169 46281\n21977 92516\n7565 72418\n9165 44384\n35478 61070\n62650 95999\n44118 88426\n3901 99942\n23807 38745\n2646 44616\n39637 97579\n51822 54067\n9834 97036\n5753 31334\n10653 45301\n76764 83510\n78451 89568\n97955 99461\n39327 82807\n29841 30845\n92671 98698\n8871 10819\n33341 78645\n18466 57965\n3150 50825\n25803 26057\n67787 95262\n59726 74413\n33014 76883\n31405 34823\n57515 94483\n26566 65527\n13003 17577\n28630 98208\n5349 70523\n22382 38990\n79398 89896\n53771 92290\n7251 30864\n50320 54327\n48945 65860\n24510 40645\n9656 44116\n78961 93437\n38163 42626\n38050 42288\n42939 46056\n48857 78181\n12898 27487\n60565 75951\n53031 71343\n40914 97597\n19544 51848\n3835 15434\n45966 69528\n65076 83594\n9531 15210\n31761 62888\n25036 86999\n52012 93870\n33215 39699\n22219 63906\n2395 89233\n38838 98668\n11807 88218\n24917 67978\n4301 10341\n24550 61587\n564 88530\n6881 24855\n12637 96805\n3672 73287\n5671 15012\n23519 90481\n7023 89270\n57004 90527\n39331 94098\n82904 92588\n57403 73565\n13766 97768\n19114 86374\n18455 78536\n39029 40616\n48199 61918\n32779 75343\n55132 96163\n64026 85539\n44030 59410\n64914 93649\n8388 40074\n38313 48643\n38729 67742\n2350 63021\n35165 78721\n8469 25278\n57741 68220\n9348 68221\n1262 47370\n12911 13668\n10221 85821\n46816 79861\n68840 99395\n43942 61120\n63479 95012\n34974 83011\n57305 87403\n1131 7040\n4859 97994\n12390 50967\n23162 53425\n13558 50436\n58824 87824\n29432 64995\n47784 85131\n76918 93107\n13218 92337\n24114 62621\n2477 13556\n44106 80756\n24664 93149\n8524 96221\n21127 66711\n18232 52590\n15396 17751\n48058 65698\n16982 39651\n31032 94385\n281 64841\n25552 88484\n53558 61262\n12112 93399\n12917 23286\n65631 94623\n44129 97504\n13271 53347\n34994 78869\n33930 70252\n25677 35158\n80957 97702\n2934 60704\n32107 69066\n31255 85603\n18882 47109\n71566 97884\n98272 98478\n829 76114\n918 32303\n48093 64612\n15210 49141\n9277 94070\n4927 27022\n73792 82635\n1104 51426\n22529 86806\n38588 96819\n2887 44603\n56708 67896\n2515 12743\n35602 54537\n40999 58001\n38750 51332\n6068 97641\n1276 5255\n59056 76303\n33145 90126\n9068 81825\n67640 89307\n53539 80287\n81681 86698\n34022 44995\n1601 49418\n65523 69580\n78539 97764\n29276 66617\n21026 43792\n69992 70242\n1840 89087\n69544 76152\n3667 13289\n50682 64859\n29940 94377\n53396 86691\n7702 73960\n9506 24080\n55578 86780\n55327 65860\n61937 72409\n41453 42082\n76724 86039\n52400 70639\n83086 94690\n23268 78159\n27302 42248\n5227 29756\n3971 28705\n84472 89233\n85892 90674\n614 96694\n19815 58472\n92046 93000\n86579 97770\n9986 67696\n64358 79982\n40136 49613\n21249 46505\n819 91224\n36043 93436\n73223 91604\n21370 37017\n52971 93879\n65714 92180\n42291 53795\n53153 72220\n22956 62652\n18915 74739\n23254 65283\n69334 85913\n56208 62006\n27018 37120\n76076 87638\n17514 64130\n38067 69544\n34075 87536\n48833 54164\n67426 74437\n2552 39108\n50588 73492\n47277 53755\n37834 97672\n51166 77545\n58288 77923\n11146 49094\n3687 48265\n4856 48759\n24939 66103\n360 66539\n22291 77158\n28427 51171\n18087 91649\n69590 97468\n63500 89476\n33933 38542\n45034 72105\n48683 52831\n37096 52938\n55666 90020\n69493 98533\n39179 63859\n4330 34287\n70257 73369\n11596 67963\n50075 67265\n21875 65015\n31529 63511\n72677 90887\n24786 34901\n12156 39324\n48504 72045\n26949 86990\n51226 85745\n1904 76582\n19490 48695\n48258 73216\n82680 92143\n18874 45245\n31289 45968\n42213 50012\n54642 78123\n41774 61047\n26162 49154\n53102 93923\n57588 66922\n36266 98895\n81889 95946\n73784 90023\n56955 78938\n12114 60198\n87288 92915\n24730 60638\n6419 32124\n11061 57282\n26360 51585\n42091 78522\n63729 86801\n124 67225\n59519 91326\n24681 85078\n20185 49504\n7134 34337\n63655 87954\n23758 91595\n45010 50624\n16497 53613\n10278 33128\n27135 83646\n5786 22799\n48862 66440\n18537 91383\n36359 44655\n62395 91276\n23242 89457\n64935 85250\n60070 71697\n29854 30381\n21853 73814\n47226 89829\n74103 90403\n15972 88442\n16819 73037\n8281 33582\n37043 45278\n44086 55071\n16749 55053\n46030 51201\n34118 48865\n11586 62362\n33690 48757\n15426 28335\n9317 57490\n38298 68001\n51667 91826\n43140 50364\n15464 91200\n82292 84361\n24616 55338\n24747 83820\n40491 44474\n38913 83417\n46473 51558\n2163 54623\n9607 28804\n33051 57936\n34465 73546\n13658 89049\n55698 73908\n279 75334\n37659 45081\n686 69029\n64787 69853\n54249 89298\n43204 66154\n6699 50860\n3681 47717\n21051 91442\n20692 64114\n38184 75664\n23004 87326\n18257 87528\n26883 81257\n68049 68430\n4747 56671\n65175 74259\n21133 98332\n80871 97803\n62381 71481\n58395 62716\n305 52875\n83714 92210\n7116 97276\n33297 42848\n54447 89827\n59334 61140\n64382 72773\n39338 60230\n25736 59711\n61870 92154\n50014 90937\n29242 54397\n43324 95496\n42780 70289\n10322 73571\n74992 94562\n40945 45750\n32094 38537\n18061 87946\n38211 83166\n34620 42094\n17104 51430\n22870 99424\n11406 29457\n10158 88774\n45223 45399\n52679 95419\n53003 61852\n2395 28928\n53588 54350\n10789 46574\n1052 90255\n62752 71854\n3432 97951\n37556 64682\n71750 79906\n44860 79482\n48348 76089\n21555 38967\n64716 65533\n41541 95424\n16666 17518\n7519 41313\n42392 88529\n11468 59524\n37853 88673\n45855 85536\n10445 41002\n40832 64364\n88908 92381\n4765 87083\n22574 31299\n29273 66133\n27023 41303\n26334 66099\n42942 74761\n18448 65615\n30771 38247\n722 75088\n81196 89741\n41072 92167\n21188 88401\n37990 57362\n22365 72021\n30928 56650\n53306 76710\n95466 99163\n14656 99919\n41246 79620\n67751 89800\n14659 40044\n14033 35110\n17705 81170\n25873 29654\n49990 60879\n63934 88811\n7703 91369\n3920 46656\n9819 35177\n21522 22864\n16064 82844\n55093 87707\n79928 95242\n15441 46947\n56296 66004\n28632 39199\n18745 88913\n71255 76907\n4453 62758\n29647 56869\n62109 97309\n83006 96889\n22391 96910\n5211 7383\n5783 96037\n54254 54543\n14721 54810\n125 45674\n3892 32217\n58380 92557\n25379 38189\n7361 52878\n34136 36885\n62630 73855\n72678 77439\n34803 98236\n51416 54543\n2244 81889\n57690 99990\n59397 99620\n38386 48110\n17641 38312\n12932 26837\n24846 40896\n8843 48005\n18637 33667\n57010 93425\n15340 29456\n29937 91227\n38412 70057\n69236 84904\n4565 97414\n27155 41706\n41129 65534\n25607 48130\n21875 49194\n65226 72727\n25388 87446\n29654 41940\n59023 97268\n59213 89512\n46721 61235\n306 85691\n47515 88786\n72724 91702\n54040 68161\n66385 84338\n37593 59701\n991 99075\n11499 95709\n40013 81473\n3895 80600\n907 94719\n51378 70821\n11107 30627\n33407 48510\n4978 82020\n34708 94333\n58613 64762\n9704 37920\n66644 92680\n46493 88680\n9494 68943\n29950 67696\n83161 85842\n5259 50333\n12341 56032\n30354 90743\n46069 91117\n76669 95590\n22086 49282\n30287 67177\n2160 85164\n21322 33890\n47801 49744\n44254 88589\n47992 86544\n38103 74219\n21970 54295\n11174 22522\n49272 93448\n29074 43584\n37870 83029\n2258 56159\n43501 57941\n55107 55453\n5808 43452\n66564 83248\n26931 78132\n23353 24626\n26145 73415\n10129 18962\n26461 96611\n9225 47322\n36120 49519\n40219 61844\n19860 58670\n1853 69604\n5446 80580\n18280 82458\n34105 49166\n58210 94103\n24015 56401\n26276 65874\n17043 77373\n42842 43774\n12007 97459\n51049 57536\n21085 96601\n8577 32636\n31177 99101\n6522 92228\n63368 64923\n39312 91847\n71576 81719\n79366 81018\n25163 25536\n10429 43060\n9946 63419\n51054 77459\n30963 51909\n3674 95347\n49078 82539\n13548 84731\n8946 54741\n94711 98198\n16050 61860\n93388 98911\n11092 62246\n47213 73828\n46685 98388\n23243 99962\n43139 88135\n35954 63490\n30800 58910\n68426 97385\n63280 78969\n10307 68954\n41520 73591\n53667 83679\n11627 50166\n81564 82048\n4400 16057\n10506 80596\n28573 29143\n31465 91670\n52650 96690\n60548 61218\n71524 80516\n14869 72094\n38763 92018\n25951 42863\n34883 59824\n1170 76934\n64820 91715\n12432 63140\n16109 64034\n31927 97175\n49520 53201\n18979 32917\n14488 94958\n31927 38864\n23177 37746\n28829 72996\n32833 51940\n55616 64975\n29899 69153\n4482 89450\n28778 33876\n41630 61694\n31879 45131\n36294 56038\n8494 68718\n22894 65813\n764 31115\n15014 30528\n19550 54018\n18148 50536\n38607 50302\n29983 82624\n32048 83347\n5060 82709\n20647 26326\n34385 81647\n78208 83543\n28971 80783\n29122 98234\n54246 83416\n20518 95377\n30857 94942\n15035 15780\n27370 29609\n14752 20373\n11692 26304\n50009 93260\n5600 63160\n31163 64416\n74651 97756\n59305 87176\n32725 96734\n44347 87808\n19706 39919\n73176 94508\n1372 6387\n68329 79222\n10920 35351\n55662 64330\n41798 66217\n10574 49990\n8491 67410\n12374 25330\n11707 69106\n13054 63411\n10971 57756\n58050 69332\n18353 45794\n18594 64901\n42799 88209\n30202 91580\n45110 92590\n11929 17680\n24114 76505\n62210 99984\n4059 75561\n10144 89388\n88508 89790\n69954 82900\n62617 76481\n94595 97176\n32001 41188\n35520 87091\n51406 94576\n31746 53104\n4579 65433\n51392 99774\n22867 26546\n22 98799\n56203 98614\n119 44105\n34523 40809\n869 6983\n18044 93290\n29034 70521\n68829 99741\n65653 98866\n21266 77469\n37033 65019\n67129 76203\n77953 96099\n4989 79461\n34868 78228\n1568 23289\n22429 40102\n62964 82989\n49777 64100\n14679 37444\n18268 30806\n67830 81322\n15588 53719\n12549 78722\n85869 94408\n59063 72475\n61197 76579\n8911 48123\n31920 96626\n72981 89227\n64416 69887\n82283 85642\n23873 63611\n5971 61347\n68703 70688\n15486 50181\n6393 38367\n56999 95724\n3490 79277\n16326 32327\n55979 84009\n63393 83600\n3663 81074\n10854 13035\n45244 46989\n18100 65526\n37288 50440\n8697 98456\n3498 16876\n34701 77661\n15319 23911\n4248 91055\n26934 82276\n29797 52791\n20724 45656\n7703 36095\n43087 70239\n38709 96720\n23691 78074\n52841 68087\n19468 74384\n73724 79254\n14618 76591\n15171 86523\n28190 64924\n11264 96091\n1955 49708\n29422 50813\n5560 13875\n42867 58924\n65513 90886\n39486 87006\n61335 88700\n12588 66031\n31758 88875\n20993 26618\n38878 61852\n79256 91148\n65620 66471\n15294 62524\n47188 89000\n83540 93571\n64413 93622\n25117 93003\n15174 75898\n20386 82022\n34680 47896\n70807 78887\n14009 15649\n22239 48503\n14011 30914\n35896 74022\n58146 63135\n9155 14663\n13839 38289\n44349 94667\n47038 88130\n15275 30566\n8797 97761\n30994 41972\n16844 78094\n18605 81301\n16884 61010\n8980 51503\n43561 56244\n74268 86851\n49443 85726\n11133 48243\n51758 94285\n48233 62380\n2440 35826\n65928 82203\n19827 35100\n35527 81700\n67377 91045\n36442 39227\n6168 79776\n32789 81508\n23215 48986\n39687 80657\n35185 76856\n80280 92435\n29364 46118\n80804 96932\n33280 57905\n20109 66327\n14571 69127\n11021 49686\n57450 77589\n35403 50543\n36440 96301\n32050 92905\n3580 86275\n45022 55982\n30185 90851\n53942 59688\n32858 67102\n72270 77790\n11570 68922\n25483 98711\n123 45162\n597 95902\n66479 77241\n41252 81388\n61698 64382\n3733 58626\n46180 54096\n69255 76939\n52409 81964\n49531 69046\n78004 87980\n34640 43709\n6574 40495\n68944 69692\n20099 69060\n16548 22409\n38062 82628\n31740 52028\n19000 26835\n30631 83813\n76329 96961\n12641 76553\n4095 98813\n24229 26919\n37876 99318\n6240 87134\n67240 79435\n8897 62264\n34980 85857\n73969 99960\n55109 95408\n19058 42045\n22945 51506\n78656 95356\n90325 95280\n52765 66628\n33480 98183\n73216 96847\n9229 32421\n4518 89748\n5620 39845\n34804 47382\n16233 77135\n62029 95025\n29453 54452\n72952 83625\n11041 91421\n29058 56070\n6288 61983\n2202 82792\n72927 75763\n42445 94172\n32880 93011\n27416 35333\n9950 19065\n60960 72064\n31361 73565\n25344 97455\n58993 96737\n18298 52394\n39105 92601\n39272 77839\n2812 36946\n56090 97066\n21217 63285\n40704 95952\n52014 59135\n19318 24818\n21184 78170\n20164 77197\n43841 86761\n54162 85832\n44996 48353\n40900 48324\n25185 40399\n41558 92364\n31215 32555\n67105 76457\n67906 80333\n1853 4113\n19497 89670\n11759 79127\n42964 74779\n52457 93466\n30299 88398\n5147 65679\n29094 87989\n32167 92608\n26317 30745\n17967 69368\n46181 60506\n33509 46434\n2264 44620\n2379 30215\n12574 68832\n23014 43058\n63563 68979\n30238 85693\n68558 72863\n13969 92602\n6760 64185\n76927 94718\n60840 94205\n19485 55797\n21561 58664\n67371 99685\n89347 89698\n19878 98688\n2339 69864\n40849 95719\n11512 48475\n11214 99505\n66215 81717\n3745 54441\n69269 83572\n52802 79169\n24697 37509\n32165 65428\n48698 74523\n7847 17473\n53579 87652\n4995 29926\n13345 77679\n5908 55717\n5562 8237\n47996 77586\n57628 79590\n54 89449\n37617 79187\n36132 36167\n25112 50802\n5707 94841\n9228 29293\n12331 44038\n8392 35160\n1539 66887\n89975 95822\n1272 25697\n76113 87024\n56371 76393\n14427 49895\n51255 94231\n69843 80190\n6740 48047\n43551 51577\n46990 61572\n10374 26475\n10798 85077\n30830 77329\n30355 56465\n64722 89809\n11229 28461\n9112 75550\n23672 88654\n19162 45042\n14726 37622\n25834 88044\n50426 74440\n7742 45999\n42747 62717\n40346 80373\n89633 95000\n34093 35378\n24614 48318\n15099 86054\n6482 24704\n50464 68351\n8778 36949\n60823 76113\n56312 82216\n7757 29797\n85120 94117\n17949 69383\n31352 98412\n62418 95858\n2679 70109\n81734 81845\n35608 93336\n9008 59696\n75717 78119\n67564 77597\n16114 81549\n26150 35586\n1355 63081\n62319 72009\n2862 87448\n19749 74087\n9535 62091\n38746 66612\n24655 66202\n34197 78864\n20468 53806\n8951 45898\n72284 83425\n29798 42557\n65089 90083\n41002 86651\n2523 39254\n65792 85709\n18719 95724\n14565 85763\n3700 42469\n60672 96802\n65742 79016\n20035 53717\n10480 38591\n60065 69359\n13140 33267\n5611 51849\n55503 75286\n1200 51620\n34562 50050\n1876 95706\n35806 62396\n25462 53132\n14139 31144\n24630 48781\n43804 69495\n31677 49004\n27905 83540\n17572 79416\n9026 23725\n67640 79626\n7107 79698\n24971 27532\n60076 63380\n64649 64946\n26399 93196\n11474 52322\n39408 89781\n5185 69634\n55288 67400\n51122 61708\n36857 96930\n60065 93213\n59915 86291\n11605 70657\n14008 44213\n42095 54377\n72122 93676\n87171 88991\n67440 99680\n48629 83607\n55093 73254\n54 5640\n16325 19211\n38855 71013\n16044 99852\n21026 39187\n55884 92816\n77334 89551\n46565 56306\n25480 82422\n52061 91430\n6397 71391\n90267 95602\n6484 95568\n27647 79277\n2029 12944\n48793 93134\n23118 41810\n345 3843\n42244 59916\n62106 86005\n20250 91647\n67269 85409\n29370 42260\n3657 18798\n33519 68790\n2091 11341\n3005 52482\n56229 72447\n29463 44003\n5521 33411\n27145 76189\n62521 82065\n31414 59690\n28626 74742\n59719 76345\n13378 28249\n39287 55737\n15266 35406\n65573 75608\n30943 57760\n18652 57361\n41421 50260\n13930 29196\n2548 91495\n23809 54469\n40607 90118\n57409 80359\n44295 51123\n7657 34333\n5651 9520\n35157 54943\n9046 63834\n25206 72178\n88884 96801\n84510 90332\n47566 53614\n7946 76532\n18393 81931\n12893 88085\n81485 82316\n29264 88944\n59751 93323\n4593 37248\n58968 93620\n70079 95426\n10048 88168\n76547 93853\n78012 97795\n87895 92887\n99551 99644\n55695 85043\n41269 56958\n31716 73824\n69119 73958\n3339 97798\n56660 85597\n50048 98422\n14041 75940\n85420 86229\n14799 62209\n71579 92330\n3234 11463\n25121 38271\n17862 47362\n43263 53693\n14799 58742\n9354 68696\n34847 97303\n40188 93706\n29501 74648\n40088 48791\n36204 41525\n45664 55240\n81565 84290\n17099 59474\n26139 54957\n40791 65285\n69054 69169\n45810 63424\n13308 46177\n63918 88743\n66041 86748\n3438 87148\n44317 47495\n5193 98658\n4747 49313\n26715 57645\n4481 74410\n20758 97671\n14678 29937\n19170 39045\n42302 66816\n80579 89376\n20629 50279\n34758 94562\n14134 48343\n60165 91822\n14798 85734\n8678 34079\n12906 90938\n13471 17864\n28398 94328\n92387 96169\n28910 57972\n58759 72851\n34452 78147\n112 21315\n11135 47947\n20701 91827\n12370 77639\n15287 43140\n7339 79682\n51866 56954\n15279 52384\n10953 61251\n32317 76457\n21741 73550\n21223 33036\n37266 90866\n6397 50035\n35421 66759\n18243 86745\n1383 18525\n56285 89118\n6486 80700\n24442 85667\n66647 80241\n4279 66880\n38439 62041\n21265 83047\n93805 99599\n16403 85296\n50843 56157\n47388 90418\n55210 75396\n22483 84566\n41193 70164\n64863 84923\n75666 86497\n85648 87330\n50632 80034\n14323 90164\n24288 39861\n67991 96616\n19434 93047\n32674 35140\n24696 50820\n51281 66988\n22397 63687\n32520 74176\n14273 78593\n7315 39175\n21329 43691\n10141 67317\n78625 92372\n21955 52456\n34231 70088\n24838 58782\n6550 14685\n6084 60977\n28072 42834\n41045 75963\n50386 70985\n10486 84263\n30191 99003\n29306 47604\n3691 60937\n1410 86112\n9203 43429\n21861 24500\n50872 99098\n32572 37897\n32330 61276\n28496 56974\n91095 91132\n26382 91311\n63109 66242\n10202 21677\n3810 78218\n48031 74393\n59843 78563\n75829 81305\n56055 89243\n56197 78257\n13668 86871\n77969 89089\n26349 71518\n4062 11496\n12700 59265\n5945 44286\n19422 32252\n30645 83694\n19008 91967\n10336 18419\n48969 95081\n33118 51362\n38548 70132\n2113 87834\n86160 93415\n12571 37781\n18799 94795\n5703 34189\n58882 73359\n3167 35574\n22685 61174\n7948 62196\n80661 92466\n24133 92862\n4367 89124\n18407 24762\n63625 74612\n29211 94348\n548 63228\n24001 49423\n4879 11373\n9813 98101\n56551 66656\n25038 96322\n36561 55844\n4058 33968\n16760 30464\n48674 79647\n26933 59350\n53532 67326\n58537 88339\n22128 81911\n8821 57935\n59511 95254\n43595 89302\n4209 76990\n17845 92207\n38730 84182\n50291 85705\n46703 71853\n20615 23754\n4020 84293\n7400 78743\n26921 31083\n78666 88618\n18475 29298\n5202 52024\n91306 98047\n75349 86534\n7669 43967\n35277 76122\n80565 97801\n65340 91603\n3972 33625\n66947 97355\n16445 22379\n11354 59087\n352 49329\n3711 55444\n51031 78436\n80627 97169\n66202 94375\n4182 14823\n70924 85649\n46844 57459\n45925 74299\n6677 68008\n1177 9383\n8666 59058\n43930 98759\n11226 99774\n47362 99928\n3516 8181\n80056 97402\n85413 94840\n53000 93196\n43071 62671\n973 27491\n39769 52516\n17154 88332\n16839 24652\n47760 58822\n15468 48127\n13886 84913\n12127 32305\n19248 54436\n81267 94377\n64534 82825\n21234 64121\n82033 89043\n44630 56162\n55605 60193\n10222 25552\n2979 23778\n47635 60180\n47143 74162\n21097 60900\n42424 61649\n53093 83671\n49840 50995\n71805 91451\n8930 68661\n13416 38781\n53238 73193\n71512 99639\n43721 99565\n9148 44745\n10865 74841\n54378 69389\n42667 46379\n38560 61848\n62485 78262\n53164 93765\n51822 86799\n30168 95906\n29898 90116\n36086 55286\n70131 79421\n8989 70101\n10111 98619\n3627 44087\n34770 43967\n76227 79949\n49768 56907\n13824 63701\n35677 45935\n35013 58948\n53991 73587\n14253 65584\n55565 88760\n71648 83988\n3398 91862\n6786 65307\n64203 90214\n5337 36240\n83588 87013\n5083 23084\n48097 64832\n44842 71432\n44732 70923\n17204 36003\n3807 53129\n8897 83544\n498 36505\n80839 83815\n79453 84739\n78362 79923\n18782 47757\n12234 76899\n30627 61030\n54121 56685\n6151 24650\n25799 49897\n23675 81906\n51939 98286\n71511 89357\n6656 15982\n19085 48190\n6569 13498\n46867 86396\n79063 82582\n33756 70658\n75200 90631\n32727 66159\n2699 15184\n10971 24048\n14133 90286\n84673 85250\n47892 95421\n10432 85099\n18082 57210\n17667 49557\n3237 52853\n42054 78489\n42475 82045\n1702 95509\n24611 57259\n49033 76054\n16517 70929\n47251 78822\n27365 32367\n68768 82116\n5097 59401\n31592 87296\n49959 88544\n24139 34180\n11978 77489\n3472 24218\n20030 55485\n69243 72089\n72988 89837\n2523 51847\n22568 88022\n57805 92708\n65139 73476\n1930 54450\n82469 93633\n27807 38739\n22983 33527\n1037 39356\n96026 98949\n5676 45810\n84494 92577\n79492 92100\n9739 98780\n15677 48002\n25471 42905\n52983 74212\n30893 68830\n41734 77498\n13669 92023\n65576 82859\n10533 19045\n40060 76972\n43807 55305\n39734 70112\n50255 70646\n30266 99640\n2567 38090\n50095 96740\n40942 47687\n38900 70445\n19498 44310\n8931 36793\n36727 96080\n23773 81738\n7693 91415\n45110 96784\n16734 20464\n59242 62716\n29837 95291\n16779 87612\n9445 26674\n83155 83349\n2431 76335\n37501 49989\n49245 80777\n3193 12793\n39593 77987\n16675 84958\n63385 82492\n1168 66205\n56610 74057\n92624 99855\n22888 88711\n17744 26032\n2268 73665\n4210 45479\n85576 98387\n10774 70437\n14821 59168\n39442 98519\n43811 75154\n47751 53268\n47604 91153\n76141 93851\n42274 90773\n49460 59074\n14447 75013\n13595 77138\n15734 99910\n40319 65949\n2508 14053\n14955 73995\n47651 96001\n2868 36294\n19890 53371\n7180 14461\n22040 91425\n42797 55851\n59411 81031\n30101 41758\n26610 51955\n37434 97946\n80345 97526\n58180 58801\n82622 89007\n37762 72203\n65880 71758\n42888 50943\n58940 69040\n97324 98870\n38128 83927\n18271 34769\n32350 38419\n31854 33426\n7410 54598\n8960 30230\n18329 35025\n3241 67678\n95367 99849\n34315 65709\n3574 11360\n725 11297\n68449 84694\n13259 39633\n30491 47361\n3946 81503\n62881 66326\n20747 48454\n32221 93111\n37548 92566\n59355 88318\n49652 55619\n76067 77287\n31346 39158\n31883 84426\n74078 85157\n32006 93377\n8563 77380\n24434 79154\n37777 92097\n25562 56250\n96927 98617\n3747 43002\n6634 54227\n48414 75679\n12248 22315\n27089 40930\n61574 97997\n70588 83396\n2630 14446\n51791 62166\n42275 86807\n5175 70315\n63794 94753\n24258 74091\n49364 63961\n32823 87063\n544 38513\n24402 31876\n42357 76001\n28738 51387\n44345 73024\n21611 82509\n58996 99035\n33063 45670\n78073 99325\n78720 90968\n20076 70846\n54361 62560\n3088 19847\n79195 83770\n79595 89670\n53798 86491\n15640 65362\n81100 91953\n44604 97893\n48894 55232\n36786 51757\n73513 85980\n12236 22530\n59566 92640\n26481 64095\n7754 18255\n84888 99603\n1965 33335\n23145 63719\n17167 31478\n3281 72180\n79273 97457\n63833 79197\n18695 55394\n15066 42978\n20117 93156\n1222 59922\n11337 41187\n23019 70378\n17797 26443\n32963 73197\n7263 30505\n39440 70038\n34771 48248\n13784 25585\n47754 90312\n84270 84875\n43967 73093\n41114 63516\n71867 92396\n22338 57898\n16942 65958\n57731 64987\n27281 97798\n51438 98927\n26479 81271\n28627 55424\n34198 51806\n6324 64870\n19857 34277\n61528 90566\n17273 90577\n64259 89235\n63350 65441\n5110 85393\n3642 9542\n23092 49754\n38141 67000\n2256 76382\n14635 81943\n82277 97623\n51263 69852\n10731 89111\n87554 95760\n7077 91449\n3418 81048\n6682 63293\n15272 83430\n48578 60011\n1420 17185\n49018 55389\n47523 71860\n19893 30041\n47988 64859\n13470 39426\n49289 69518\n40235 48966\n78492 96118\n47591 97883\n11023 88796\n39578 53484\n138 19111\n72201 96667\n6513 38175\n47243 73466\n62942 84848\n6836 45558\n10501 28370\n21970 81779\n42189 91566\n91935 94333\n13898 21303\n42616 63937\n6255 64360\n9768 85140\n53915 98163\n77 96091\n45563 90567\n31649 71096\n2289 62248\n2241 6076\n88917 99662\n14747 91550\n55105 95513\n19052 25669\n30652 41603\n19868 66214\n14653 58740\n32150 79742\n22106 59302\n914 10536\n36043 74216\n39884 42316\n25894 73155\n35643 62830\n45663 78812\n43286 47483\n12456 21008\n16960 92756\n77347 82281\n39754 70503\n22692 79115\n15825 96785\n16010 65467\n21012 95059\n21079 52505\n70511 89564\n2219 96003\n52119 95482\n1882 3548\n34716 58587\n2774 85044\n58246 96946\n19647 58439\n18382 29910\n16373 83207\n2394 27355\n58878 90330\n15254 67449\n12165 36569\n38372 48128\n12361 90171\n70816 90600\n12937 67303\n7606 75538\n51779 85004\n26562 46105\n21074 35621\n56108 89715\n19365 53070\n7689 39841\n24848 75379\n27404 57347\n53510 90780\n1768 84505\n15564 63119\n34596 57955\n56630 63985\n31064 91316\n58546 94194\n33146 50447\n64028 95349\n63304 76558\n33515 99625\n16264 39965\n16153 55118\n51426 55194\n36135 76411\n22300 85757\n11322 69354\n20380 79451\n12364 64024\n60845 97538\n4128 7933\n64442 99471\n42097 78535\n36033 71040\n71527 98659\n513 92052\n86788 93668\n67741 69360\n60935 67732\n15981 54095\n42920 62253\n10652 95780\n22398 97342\n11349 78059\n46336 79535\n84 25354\n77467 92311\n15239 44108\n20186 86823\n53274 84130\n54614 84180\n36362 67151\n61942 99865\n33890 67188\n27223 97026\n70137 80862\n35156 81824\n12768 57254\n10749 53318\n843 43104\n7315 77751\n59100 87759\n27786 49797\n30515 32193\n37292 99294\n2641 4539\n52625 62829\n48362 92299\n26751 38657\n62989 85999\n8114 78895\n60610 63494\n8240 51898\n50452 52354\n3880 59611\n5812 69466\n11839 99899\n54681 98743\n9258 10268\n50622 96080\n14616 45509\n38100 54017\n18534 79343\n50686 64725\n43915 64232\n12772 86809\n57319 69215\n8249 57238\n34249 44921\n42045 87355\n20573 64598\n18915 60452\n48577 73720\n33914 79678\n86645 95158\n4948 42084\n55092 61078\n4187 64262\n38893 94923\n6374 46065\n42246 96862\n958 49710\n29083 65100\n59053 98301\n7688 62311\n31719 87566\n38238 43511\n86368 87177\n66043 97630\n37565 50151\n36837 89377\n18814 20180\n29370 52005\n16375 16533\n5418 9623\n10548 91315\n8762 64200\n42682 69324\n27521 73407\n45470 54181\n37286 60894\n61772 80470\n41183 59016\n36766 62320\n10950 21111\n28219 98585\n17616 38746\n7904 40042\n23829 84574\n52105 83082\n29916 94495\n16299 53714\n10119 57789\n41513 77394\n80808 89840\n1426 88342\n54906 80268\n66197 67331\n49559 81908\n34449 45068\n2711 26410\n7151 7897\n80447 82020\n59081 97609\n77473 88617\n34082 91688\n60355 86259\n23812 69095\n76336 78621\n25496 31778\n52793 55838\n8275 91734\n3824 51055\n14595 25262\n50027 66252\n71943 73991\n56462 79726\n16836 45739\n25559 59767\n15057 17407\n4119 80940\n21941 90913\n21476 40736\n27441 38295\n19604 35568\n72245 93296\n25835 76321\n72252 92180\n63195 72411\n17233 89442\n57942 90187\n69209 77763\n57555 71340\n76167 93379\n41248 83474\n89078 95096\n24081 78948\n14041 65787\n28050 32984\n9313 96667\n63967 88578\n42715 50984\n10538 74967\n1934 95573\n75284 84330\n9391 69922\n6165 79758\n3150 30484\n70633 98662\n18050 71894\n30082 73660\n59715 85810\n20411 43694\n47361 58617\n10020 36750\n5843 70390\n29717 87561\n85842 97777\n34361 83089\n71627 82541\n2970 30409\n70813 85371\n37582 37734\n25449 95932\n36103 67166\n1528 71705\n2437 13446\n77506 88223\n22310 89677\n9427 80775\n29361 88604\n27100 47805\n87730 90087\n4026 95008\n24164 85262\n33361 41233\n67233 84284\n62314 97398\n5973 75033\n32178 62349\n4554 43005\n67874 93699\n63140 96568\n37064 94060\n53242 70572\n59557 97711\n46694 81658\n81195 95983\n53663 64769\n33426 34153\n68539 92416\n38650 79574\n47541 59186\n6525 84285\n3781 32553\n24999 35240\n46876 72164\n19562 80984\n42867 68847\n37173 95551\n10693 49029\n23467 35423\n35605 92252\n53202 77481\n50191 62914\n28740 89230\n13005 81548\n6551 11007\n14114 78948\n5848 44127\n35032 39326\n24179 78028\n44648 47882\n56062 90054\n59707 61429\n336 72194\n45572 95190\n57644 70796\n61470 72962\n65044 85542\n13285 67855\n17187 36691\n38815 51732\n4981 74059\n2668 40527\n81101 81624\n486 35893\n75661 89031\n21893 27290\n18522 29729\n58992 91148\n34225 45277\n24122 52570\n35723 92754\n61990 97689\n56161 62549\n42622 76972\n5222 54485\n49369 87904\n39439 64178\n56863 97104\n71093 87127\n22051 76097\n23512 24428\n45912 81395\n24672 56459\n4895 7597\n40435 99504\n43310 45277\n29507 77205\n19509 39928\n13732 66431\n7430 11033\n16996 22446\n47426 82766\n15437 35045\n53391 93585\n19169 83788\n42037 70323\n21802 91293\n28868 62271\n68573 94656\n95854 97763\n8708 61284\n40516 77318\n51726 66010\n73977 79458\n4761 8985\n15852 58127\n74754 92549\n33185 93487\n12629 67160\n27252 57253\n18030 52560\n9371 21638\n30532 83814\n71267 89268\n5093 10127\n17443 66363\n88378 91003\n18653 23279\n13698 60349\n47291 73675\n49836 68816\n61330 94848\n55343 90388\n30457 79358\n7630 53147\n30037 74008\n93993 94879\n6042 29230\n7185 69546\n45817 47219\n60259 63166\n77371 88311\n35109 54528\n40129 50036\n1887 89100\n10800 52081\n42493 53033\n40770 67867\n47828 60103\n3135 62813\n26548 91743\n74 72038\n21914 70203\n67528 92767\n14164 44679\n25065 86778\n47844 61962\n6113 20920\n10239 76332\n11980 30127\n21467 79060\n59786 86106\n55954 74706\n51634 57182\n22545 83881\n21344 85858\n20733 42933\n40077 83373\n20589 73646\n19400 21461\n49668 85993\n59319 96191\n6558 73378\n40816 60667\n35833 79997\n14967 61054\n8845 13615\n69005 99501\n45074 61068\n36201 74148\n43176 83477\n4137 82213\n20340 24442\n13063 23210\n16389 31285\n26876 87375\n70752 87428\n67477 96954\n12096 39871\n6829 63483\n24968 49645\n12468 81245\n39115 61000\n5688 99410\n6877 61332\n15396 28244\n691 40630\n22663 77233\n10141 92665\n31263 40636\n3024 49966\n35084 95316\n69185 86122\n36731 45784\n7403 12233\n32317 96197\n53040 59099\n4947 45171\n7133 15921\n28047 63436\n59099 87541\n40026 64234\n5069 49170\n75136 94880\n61402 66496\n10357 80610\n26597 53991\n5801 62028\n29201 78970\n60406 91806\n19676 47925\n6668 31715\n41073 65789\n64542 94886\n13707 98339\n33919 95479\n42856 99480\n15673 59357\n86671 93835\n36562 60154\n57386 73459\n89534 97279\n60898 85069\n46075 55679\n96849 99575\n29080 44010\n37683 98041\n12648 15353\n25261 69210\n79481 85223\n24235 65656\n2194 25570\n92848 96042\n94481 97443\n9948 88842\n25206 50145\n28173 37360\n53864 73588\n24602 68998\n70530 77216\n27352 63377\n28392 81946\n53465 62622\n27521 40023\n43384 44126\n72840 76162\n52036 66595\n8307 67392\n26389 44136\n1429 16086\n80068 86328\n47521 72937\n11310 62466\n24642 25194\n58950 66709\n18433 91703\n82294 97457\n20025 21010\n18735 78583\n30405 76076\n11746 51808\n32206 92947\n8774 39741\n39146 57225\n14802 37526\n5354 8390\n46506 49570\n20284 55173\n40647 98257\n33181 73865\n74379 94829\n61017 96242\n17400 36427\n23044 43233\n23747 39818\n15955 40467\n50144 72923\n15876 74299\n4941 65162\n31529 42103\n16357 64429\n29849 55319\n36863 86731\n37459 45898\n23286 40588\n44754 99600\n46264 51319\n26904 82963\n76127 79641\n71913 97762\n44008 61562\n5414 37748\n6732 20581\n25726 99663\n42955 53954\n14541 49285\n42624 75891\n1823 93067\n77112 90946\n9082 69863\n38610 77502\n2979 58011\n34222 95187\n5632 90297\n42992 52018\n19741 69866\n6318 84634\n26739 30944\n4226 63564\n1395 40379\n55788 63113\n89578 93119\n93039 98851\n60304 91281\n33632 47137\n40328 91486\n5843 7020\n53367 60465\n25110 36363\n1686 50774\n13637 25467\n20414 47027\n5215 44720\n1907 64923\n42987 82616\n62551 64612\n71669 84315\n75238 94873\n32338 56220\n47963 98456\n70286 75346\n34039 95533\n44967 62464\n78511 83757\n13954 99333\n15429 29765\n16041 42159\n71304 91756\n43806 50547\n63777 79898\n39250 57065\n27361 98690\n1757 67690\n42030 46865\n45090 68690\n11446 31709\n18374 30061\n23081 83977\n19345 96370\n22819 51879\n1545 69576\n2475 63398\n76986 85768\n58008 63868\n7158 63522\n35687 82134\n16534 19407\n20788 91213\n16039 40049\n53910 89497\n55459 78523\n28420 57087\n30131 33587\n36857 64699\n4376 84080\n59636 93402\n23358 75164\n31110 32895\n82243 90152\n91792 95765\n8722 63031\n67789 96400\n13092 18044\n75909 97311\n86366 87773\n22655 36434\n6622 96291\n68965 71998\n11026 62717\n29263 73009\n63808 82361\n46834 90949\n29055 85185\n45230 65757\n7991 17790\n660 19302\n35878 68656\n22703 63524\n32938 68826\n29742 54211\n31599 68135\n10995 59330\n37339 46070\n76536 90169\n35468 93395\n55821 74806\n14437 48814\n38365 61324\n19184 86994\n8983 33048\n42661 48965\n25987 80870\n49592 67827\n16258 47838\n7424 97525\n17108 84483\n34957 90050\n8097 86750\n6511 11311\n62815 69322\n18563 31078\n24429 98307\n44246 93851\n26839 37632\n83658 84117\n57296 61121\n70156 83952\n926 27352\n57194 94982\n23863 78160\n7304 93903\n33877 85077\n70553 98098\n8671 36175\n1301 1669\n24290 33390\n47846 84778\n40340 86042\n16023 75814\n77538 84343\n6350 7551\n9684 83513\n86657 98319\n19749 69204\n38975 82168\n28254 32958\n46622 74199\n12916 53835\n84037 91764\n49531 87330\n36767 51914\n40906 62015\n54091 94505\n47517 62659\n25923 27203\n3313 46721\n81728 87932\n16480 84873\n83084 88797\n80486 85452\n18658 43853\n19593 87417\n15275 97131\n66580 99467\n34796 42373\n270 73624\n28574 38993\n36559 98151\n60698 76728\n8499 14327\n2121 80893\n6827 22565\n18301 91954\n6295 77657\n55779 82239\n36924 91741\n9617 64963\n28708 39025\n12373 74276\n36750 94557\n17757 44779\n26685 27381\n49368 94737\n12806 20628\n62950 65642\n77471 81972\n36857 96585\n40030 50425\n13687 83572\n43904 86577\n36334 53937\n26072 52995\n1908 69426\n18342 57967\n12707 32948\n16481 27209\n29804 47469\n20669 40142\n17588 51974\n13456 27165\n29146 76189\n72739 79796\n70276 75814\n13814 48062\n10031 32143\n63803 78213\n18433 50844\n24040 32050\n4612 66539\n45543 95569\n53531 85205\n48083 63128\n30574 75152\n20809 99737\n28017 51430\n17398 59365\n20265 74736\n23254 69498\n44922 98312\n74463 91290\n63022 97877\n7593 35831\n6259 10283\n23080 65519\n44293 72133\n35494 86028\n47886 87125\n6310 63779\n28446 80101\n76835 94475\n7182 28812\n69657 92584\n23478 44201\n3476 78959\n36778 65000\n66601 82413\n6740 70166\n20692 98426\n834 63389\n4318 8307\n28156 41790\n23677 82216\n35620 90534\n62162 78770\n37934 90229\n5092 44170\n11475 81764\n34079 84405\n10650 92484\n70968 98905\n40517 88900\n3910 97039\n2415 78294\n64343 73467\n71797 95856\n5977 65919\n8433 54775\n16 29838\n92601 98557\n51154 65180\n16956 71864\n52373 64037\n47536 54026\n87278 89424\n37937 83414\n13349 89635\n12207 33729\n19520 58960\n8731 28461\n28346 28969\n51659 76969\n32325 47623\n7731 16871\n16183 73110\n20802 70698\n56988 94898\n52096 58851\n36465 81000\n26721 53397\n64 70071\n82612 82906\n793 42801\n29456 46321\n4885 57424\n5477 24245\n28839 93653\n29076 49328\n10925 35869\n67243 88536\n75086 81997\n39754 99757\n71313 76035\n6610 26809\n44852 54337\n28017 38094\n45255 83436\n8130 55433\n4040 78912\n905 82194\n16585 81669\n55195 67589\n80022 90120\n12913 85450\n79974 96212\n36097 69917\n66719 87089\n72100 97132\n46490 94788\n12890 66622\n30259 74600\n15246 45166\n72859 74244\n12760 72402\n47320 58664\n5550 52818\n9458 87666\n76433 82036\n58453 61337\n42498 85355\n52149 73112\n26903 87993\n63303 72314\n20004 50771\n60325 73935\n7881 40080\n31720 91656\n59789 81650\n31629 97101\n29755 72651\n18817 64538\n20913 38582\n41083 61626\n92790 94984\n1416 4929\n13442 57043\n30797 98950\n9096 25889\n44957 66811\n83000 88925\n14170 34818\n12539 21335\n66872 89216\n73709 84843\n3246 21209\n50155 60251\n14956 25404\n37952 79138\n43214 48133\n42339 82448\n43424 99019\n6416 15983\n19494 64766\n32524 89111\n3877 4664\n14788 53888\n18574 27078\n38984 88023\n69769 86078\n56781 97545\n29298 41507\n81020 90448\n29546 34277\n21654 96696\n8441 25456\n32730 79641\n19118 86698\n12139 91731\n74336 85969\n63525 89150\n3029 70325\n1670 99518\n28986 49670\n10674 32682\n23013 91870\n14083 28820\n11007 37364\n2980 91719\n9899 69759\n67447 74994\n74354 99720\n81919 85741\n57652 66667\n41988 77529\n49399 71507\n66311 72334\n14416 66746\n9861 23235\n12920 83078\n2896 44533\n35988 88319\n32102 93601\n48340 71322\n966 11652\n70992 93023\n3851 50830\n34840 73820\n28741 56443\n39999 75290\n5051 26753\n930 48492\n54658 62594\n19305 71909\n7093 11726\n12964 67296\n34504 87444\n75951 88584\n61812 74797\n35606 46593\n24086 54339\n16622 30275\n28510 35003\n1527 93287\n71827 87290\n44508 52118\n13063 35705\n32899 54751\n46124 77224\n38669 94065\n94241 94921\n21101 56125\n17147 92392\n6485 89699\n10786 40073\n35523 90058\n15649 63948\n39011 86028\n26924 28964\n95063 98874\n325 30148\n24540 55573\n74035 93209\n72368 74290\n8789 55097\n62105 75375\n22202 93276\n50549 78525\n69976 90571\n50798 51131\n6997 99082\n20776 70603\n64824 77524\n30863 37955\n23915 63302\n26798 37858\n31082 49981\n11809 64944\n23943 89492\n21621 74075\n15228 44991\n7658 57274\n47898 56742\n9719 21917\n45620 73622\n25380 98432\n55301 56781\n29509 47489\n82423 91833\n10332 86721\n40988 64604\n62775 84232\n9042 29475\n23470 65612\n39340 81754\n44341 97876\n16221 50893\n49794 86795\n9109 34674\n6373 77491\n54399 78039\n48408 81912\n33321 34080\n49389 64427\n78343 91261\n25415 80259\n69862 95672\n33685 96066\n7293 79339\n27075 37509\n2455 20330\n47538 72513\n35039 76339\n5367 16295\n22909 51719\n46375 99766\n25003 72895\n20176 33262\n50347 59531\n21605 81770\n8510 99824\n42928 64106\n4298 79222\n7762 24075\n28681 82076\n28128 94234\n81521 88352\n23790 48708\n18863 45523\n53107 99504\n4589 86471\n44452 61115\n57246 77996\n64584 72915\n71940 83572\n25892 55340\n50364 78599\n50233 91603\n2315 96795\n56511 75463\n42157 53334\n95191 98352\n4558 55192\n84973 89692\n12932 30649\n1712 39484\n4785 98121\n34303 38209\n11014 73599\n82078 93081\n55309 70128\n82790 84971\n22489 46210\n46525 77071\n20544 88564\n45427 75686\n12346 98403\n32606 92549\n7245 46403\n24541 83110\n37059 52853\n50354 86660\n11925 56065\n56755 81617\n30002 51979\n2012 67782\n47068 61288\n5756 90107\n13929 58272\n59910 74489\n41177 84446\n8505 35467\n58639 86624\n15084 83505\n17772 94328\n41036 81117\n1774 56618\n45931 66579\n81910 98062\n26900 66365\n58994 80079\n16250 26744\n41911 85735\n3338 64069\n59908 62892\n66594 72887\n40362 67108\n28337 59892\n21123 38200\n57313 75762\n39038 93348\n4841 75547\n14623 75268\n32105 44579\n24572 81214\n40663 89046\n10624 47494\n27135 39560\n195 21467\n50273 70585\n17567 17713\n39093 47715\n21012 70624\n27719 50128\n48493 59131\n49273 94488\n12254 33792\n47300 80084\n5413 84576\n2918 18595\n7036 97939\n46846 91472\n10745 75195\n3492 11588\n16989 88066\n25644 98390\n8965 9696\n24809 74114\n32308 71606\n82258 97941\n46365 84492\n9730 88481\n16321 96159\n51581 65685\n25591 99018\n7213 52088\n41637 78413\n15863 86807\n11133 65366\n79028 88681\n75592 88952\n66610 78632\n11408 92258\n10299 44472\n37421 63875\n22465 34351\n58476 61965\n48358 52337\n14279 48339\n64547 80000\n19276 93782\n44527 63278\n47957 62055\n47239 68875\n4559 19949\n28662 54198\n40031 67225\n34774 47689\n20832 67222\n56296 84422\n38583 84031\n43968 83633\n17276 92699\n43470 56866\n4353 58265\n28274 80019\n27273 41489\n24347 90782\n10948 52971\n72568 81176\n2641 85703\n59893 91520\n26689 66485\n47245 60089\n15012 32860\n4420 16820\n7291 99833\n6630 14937\n50239 72975\n29607 36407\n27343 50951\n45897 65039\n13442 55380\n13067 21524\n38600 48226\n24649 74688\n28807 91052\n14963 39717\n24352 76085\n27686 59518\n79480 81266\n6760 50537\n11438 35780\n49475 75027\n9573 82925\n44351 60501\n5141 56142\n6226 69958\n9026 25181\n10093 46638\n11261 68761\n57253 67676\n2963 50155\n27260 78362\n69252 90004\n43977 49801\n21478 29685\n68323 82730\n49099 89591\n6969 74640\n63466 87968\n4210 20642\n8470 50739\n57546 88891\n65730 87312\n58864 61589\n47126 80017\n36902 42329\n13381 41419\n76167 84991\n21521 85793\n56759 80590\n54585 69940\n9539 17313\n49186 63541\n28196 56670\n19706 44974\n3261 24269\n2366 32991\n17688 41555\n29476 34409\n58666 71707\n17273 44264\n15947 79640\n17140 29207\n38331 49065\n39139 45527\n1609 1628\n13872 99129\n17264 75252\n17686 82885\n12458 80295\n17997 72205\n56841 59766\n14920 57816\n85306 91849\n9800 72238\n37848 60342\n44747 87749\n54921 73357\n92196 99250\n56548 86551\n30592 33790\n32134 79908\n7908 30741\n44924 47669\n17375 79374\n15599 26168\n38051 55874\n30001 99368\n50411 51393\n25772 70944\n69350 78913\n80462 98755\n16999 35667\n9159 36001\n25303 92935\n15817 94493\n48611 71455\n33035 81906\n200 5702\n80654 98164\n27191 72816\n24 50564\n36526 75597\n62823 96960\n39168 82600\n72616 95999\n25173 81940\n1554 77483\n4 66472\n55170 96734\n9945 18089\n45558 60152\n18408 29158\n39148 39349\n8919 37308\n90553 93024\n73040 91954\n2948 16831\n38523 42725\n2442 73303\n60614 80947\n34907 71145\n7977 28294\n27903 41056\n14711 27285\n81335 82305\n65356 73059\n21716 29582\n42779 82842\n11824 52418\n836 50710\n20590 63454\n35094 70185\n69686 93581\n10952 59106\n20762 58336\n58433 84498\n43056 55928\n59580 96529\n3785 84125\n43072 87956\n85822 90500\n4376 24789\n26482 43269\n41249 57302\n19634 40783\n16084 37426\n5751 8998\n15211 81489\n32573 41022\n2210 28644\n27779 34192\n62698 86887\n36397 87115\n4861 94712\n14390 69494\n34903 48768\n12726 21324\n31028 96856\n15679 61455\n36071 52392\n19383 68693\n727 60937\n32299 55126\n14129 95758\n36765 55391\n56354 83225\n9295 55418\n69180 77512\n3997 38053\n24327 47673\n7496 54836\n25599 25803\n78095 79099\n14909 77261\n7433 47180\n7054 65662\n40967 48939\n13106 68878\n38218 59667\n44007 92164\n30063 72267\n25114 65631\n84086 95571\n9504 33205\n22459 81222\n39007 56752\n26782 87197\n40256 45671\n15465 96332\n17939 20458\n46028 60222\n6156 68432\n32177 58048\n34787 87581\n7844 91944\n26998 51790\n92061 95078\n47030 88561\n5354 63825\n13364 32664\n18731 93408\n11897 67311\n17111 68773\n31183 85908\n49792 89256\n61923 99488\n4093 62947\n79512 93220\n46640 98316\n1631 43265\n8230 61013\n36420 78704\n5960 15775\n28773 86275\n11569 36848\n12266 15658\n38774 92420\n2244 75784\n12027 66104\n18596 54721\n82721 94811\n91842 95604\n3648 71960\n33466 68002\n7063 36363\n88634 92012\n33605 93188\n41719 48987\n6961 41542\n6476 94916\n3985 43688\n3644 18179\n2189 59555\n3016 10263\n17175 50812\n29766 32938\n9573 29968\n25391 51541\n34410 96574\n25850 28932\n38764 91812\n45391 84756\n62271 88949\n52527 54764\n37777 85540\n11003 95078\n23268 38049\n1078 68793\n38221 75344\n35612 35975\n31315 61535\n20302 37844\n9263 18518\n26745 54430\n6492 55164\n50242 84887\n46797 67717\n17160 42950\n8931 50524\n1303 28900\n12568 93744\n4192 46598\n16706 36411\n8332 63535\n51368 51505\n2933 13479\n58741 66441\n10725 11549\n86690 96358\n35212 94859\n30237 53026\n17653 74808\n52501 87153\n32687 42806\n8794 89303\n17570 31612\n54501 60601\n44475 62460\n71287 84863\n37419 93650\n24798 78303\n37134 74468\n36803 85804\n44039 49201\n20374 50898\n9545 22876\n8739 37849\n13028 35145\n10921 22166\n30928 70387\n27552 33295\n9429 33065\n7639 79853\n36965 46980\n22436 30963\n78024 92595\n43675 81179\n63463 66125\n30352 48199\n28406 36461\n49905 91802\n43106 92590\n24823 68614\n52101 92852\n10939 42520\n411 72917\n19636 63568\n66664 87857\n15842 20118\n807 34951\n11922 80709\n33943 99580\n67050 79388\n48152 72528\n62260 88687\n16819 95686\n67374 94838\n54659 95374\n11245 84474\n55008 57295\n49575 61493\n56797 85710\n18337 69167\n2363 45624\n47286 90448\n10161 25844\n62432 92906\n90939 91761\n63856 86669\n32023 96650\n74680 77702\n54544 99002\n14370 61078\n46657 77751\n39602 96480\n50000 51346\n23165 24788\n4073 56972\n47609 67090\n32359 73690\n90401 97381\n2333 40206\n45868 51497\n64494 96737\n30550 33688\n28934 95361\n72874 78487\n27686 79527\n27393 53078\n32287 41935\n12454 44868\n4535 85820\n51132 92833\n9827 72153\n16774 55039\n27042 57102\n56333 90358\n32045 58206\n16896 77087\n3041 43499\n9030 66703\n44895 50587\n9523 86290\n55753 59633\n39425 48674\n18763 68631\n5861 77634\n64716 73348\n42913 57675\n17678 23461\n14811 46242\n73300 75511\n10041 58648\n35375 80723\n21541 82811\n64638 65601\n56628 73115\n26159 69063\n21573 65161\n28283 66151\n41333 59808\n33801 54192\n54942 75168\n50988 92478\n41393 94812\n71695 80432\n31945 87874\n13344 50770\n44349 88388\n30563 42017\n65715 85135\n41772 69433\n16732 56935\n45947 67271\n77170 90297\n35757 63748\n1636 41491\n7610 44365\n54964 78098\n33232 55967\n22033 51144\n66276 70964\n54742 72577\n24520 43041\n1330 60074\n20522 47750\n55484 74328\n2031 51638\n58186 76768\n10782 57873\n4149 82344\n35114 97561\n38112 43351\n16312 54494\n52012 92038\n40779 88771\n19975 93216\n29681 48530\n621 853\n52765 53562\n38897 87646\n23209 71989\n24723 60749\n27313 70096\n7672 33363\n34766 83897\n48450 56741\n5742 14728\n667 5264\n12567 78595\n20042 34842\n13576 72343\n21907 98823\n17841 62773\n8751 88554\n8814 55254\n3228 24526\n14285 91700\n12771 70944\n61686 80846\n48897 67919\n25214 82601\n23488 92585\n14835 40252\n7175 83551\n60441 70570\n41923 68307\n4052 8136\n64598 89330\n19326 37387\n14702 90606\n7488 55349\n26134 67217\n22170 42876\n21088 86741\n56903 81213\n16503 36353\n76966 81491\n53215 92902\n44019 47528\n33834 38189\n66650 95856\n9184 89211\n55499 87295\n49531 64207\n12333 17205\n61476 62579\n91 4910\n1064 73179\n11159 73296\n15854 97221\n19495 99649\n22153 36450\n42736 57835\n53125 71596\n40019 71069\n80981 92909\n21373 41530\n28592 73953\n43619 79838\n43274 98520\n68169 88654\n9644 26066\n72438 72867\n24979 34906\n19219 98963\n42904 74498\n59025 66645\n64735 73260\n71073 75329\n49821 73291\n19234 30042\n10198 50447\n45165 76520\n19307 43452\n39099 94749\n268 73900\n6504 37982\n32584 96747\n8444 99980\n15417 89692\n38531 51518\n52581 89037\n35985 51696\n20713 26732\n6536 15652\n33224 69305\n12249 29747\n9326 35422\n47479 68502\n297 35963\n21988 90016\n29546 71252\n57627 92065\n57355 93588\n41089 87726\n28056 57023\n49326 86885\n42218 76842\n21623 45120\n39270 96359\n55858 76491\n27278 74816\n13464 83543\n92090 97982\n37177 93050\n49508 53395\n41806 66644\n24286 78949\n11999 98045\n48631 81887\n92754 96107\n55293 79277\n54429 63256\n46141 58817\n21190 66912\n65654 92264\n6172 72948\n12226 69670\n5539 22141\n31544 84665\n60600 98606\n28503 69750\n35226 49465\n2286 56626\n20623 92871\n20693 53998\n1886 54957\n4664 15468\n32417 87160\n17986 49908\n40243 70643\n10833 59700\n63201 66329\n67824 71363\n25596 65503\n15306 87084\n14910 76929\n18306 23995\n56998 79240\n27854 60178\n40490 88384\n26583 34914\n3907 92604\n63181 70505\n37592 48740\n6767 65633\n67719 86147\n26116 43871\n14293 29369\n2236 91240\n37688 79845\n30250 33246\n2772 60228\n33409 66155\n15060 45346\n2696 57591\n8801 77861\n52567 66637\n44489 86257\n29951 36830\n16714 95388\n22534 36384\n16123 74125\n13799 96668\n62903 95247\n11079 81783\n53736 64794\n7082 44669\n3423 84455\n41733 84706\n10985 68815\n43632 85767\n31229 46031\n73565 94634\n15061 56279\n61315 98974\n42955 83872\n4241 95202\n48146 87612\n64522 98433\n71018 82341\n7411 43055\n17551 99558\n56606 75301\n91779 94419\n27434 75794\n961 3181\n27387 78652\n24852 82754\n37703 56713\n51802 59421\n20384 92012\n12381 87457\n49098 83665\n14568 58113\n33891 74143\n9745 19508\n82989 85466\n11179 72722\n34659 74338\n54866 87148\n9661 56932\n49891 58031\n52638 53101\n22556 79891\n19108 57499\n3016 7471\n2880 65335\n1312 41391\n18210 98244\n30853 98530\n57115 94376\n28677 94689\n1111 50273\n19970 44249\n24059 49309\n3301 11935\n9913 81303\n46615 75892\n13366 80629\n26105 95400\n1394 69428\n6642 73566\n10709 34671\n49965 71892\n14561 22304\n28522 33171\n46920 69853\n27094 66038\n33181 67845\n42596 43585\n36136 57731\n97896 99770\n57247 63135\n68895 93024\n3632 30486\n17587 53622\n7862 26306\n22528 23759\n5044 58232\n80305 95406\n5478 29303\n36552 75515\n24150 39465\n37559 55749\n65955 74907\n40415 91879\n16086 77760\n14328 60524\n70120 86873\n53775 95176\n54112 77804\n1457 16257\n1690 39809\n38651 51436\n6694 70251\n703 87676\n56956 66338\n25365 82490\n47608 50571\n6765 49301\n79164 82744\n52791 73568\n42929 60663\n70457 85400\n50427 87462\n16274 25850\n37558 81464\n34806 66771\n36314 57631\n7633 55758\n22252 92646\n31352 82831\n9442 37869\n4812 24646\n16016 25719\n33684 68081\n50423 96040\n43042 66130\n59217 82110\n20316 23811\n27477 51544\n3492 16177\n65465 95666\n14179 73326\n71109 91203\n12239 80516\n88552 89522\n2629 19132\n18930 66064\n52996 63014\n79078 84829\n20858 94633\n42048 71151\n17553 46130\n4448 66199\n38266 72310\n31946 63056\n53649 95424\n85708 97072\n50741 69033\n664 87152\n67513 98534\n71626 83358\n17653 82820\n11886 86333\n41989 42575\n7676 37794\n58419 79344\n73627 83333\n53440 82660\n49158 96289\n91093 91499\n74685 90404\n40139 66003\n42690 44125\n11603 37877\n7062 93598\n31992 40587\n50981 95521\n26376 53579\n67920 94661\n9081 29391\n72102 87495\n34309 83014\n55282 59570\n37074 46485\n67734 73414\n75861 99959\n72762 90640\n73263 90221\n19975 87544\n40624 56561\n95559 98912\n52314 59093\n4387 39064\n17908 57239\n15131 63382\n10661 72424\n22424 63360\n21357 65021\n67723 71075\n86293 89980\n45345 63416\n47792 72439\n10565 46912\n26147 81728\n71607 86818\n14447 21463\n70253 95218\n25134 31305\n31884 55622\n20940 73100\n56311 75299\n56485 61270\n25534 97547\n41305 70667\n6065 49124\n1602 84820\n24982 35312\n17614 78323\n69685 72554\n72462 87310\n89474 95911\n20660 79747\n18316 58329\n11426 21483\n52504 86666\n2007 68064\n46879 95828\n41788 54567\n20308 42851\n36205 58632\n19032 53701\n31891 32096\n35580 88058\n41440 51826\n54699 57131\n4909 93171\n25445 82572\n51201 89374\n25993 78484\n94174 97881\n43710 74854\n23854 24327\n44346 63941\n6915 10997\n61835 96724\n24939 54528\n16008 64944\n64272 71972\n45891 72259\n20459 65256\n592 73341\n59379 92578\n7307 41712\n18458 33728\n52636 52709\n74814 86091\n20202 82158\n8758 18288\n63385 74955\n8169 14566\n10996 53882\n65525 86085\n3325 33593\n5285 44641\n83444 96130\n3384 17448\n82807 87211\n26778 35016\n66986 91709\n26157 28493\n7149 25415\n45923 53828\n19451 76370\n8436 98205\n35023 49877\n48149 84556\n86483 98888\n12235 47258\n39307 55265\n27126 32413\n59083 90869\n26595 67437\n26486 49306\n54945 65432\n73525 83682\n55368 72026\n54609 76204\n641 39264\n67278 88199\n8851 81451\n12167 34049\n50392 66338\n26008 72477\n48558 54815\n57905 67073\n20890 37468\n36187 54138\n21964 95227\n22479 65031\n17312 87956\n25702 89577\n26307 40537\n52452 86576\n1336 30175\n58610 68151\n62803 85154\n5758 56181\n33033 84002\n57657 73654\n20386 30774\n20073 53010\n39461 54554\n44142 57872\n7233 83797\n41380 56502\n20262 33957\n10826 86481\n73477 74757\n3437 60776\n55774 99896\n765 7231\n44107 68397\n51683 91482\n83714 91285\n4357 41354\n2383 99776\n35005 68039\n30341 64239\n69061 87565\n29461 36683\n80822 82837\n21930 93744\n24138 26010\n6822 77528\n1264 92093\n18012 53110\n47041 97314\n11674 44743\n32029 44951\n38925 52280\n57572 67501\n62970 78286\n34072 80349\n38302 76082\n3044 6242\n6275 78013\n66921 72938\n12263 24346\n51737 54301\n50056 79201\n27402 74907\n27136 67657\n16198 53827\n7165 19531\n2382 51191\n27399 45033\n11339 32649\n47310 55233\n25861 30026\n92324 93825\n74936 96297\n67495 92085\n48194 51472\n11728 95419\n50391 99218\n1077 77064\n23533 73847\n24915 53903\n9065 52222\n44643 77755\n18444 31039\n35891 89483\n45454 81169\n5769 70809\n16146 69709\n79965 82087\n24019 24985\n26035 61890\n52153 63097\n17338 72175\n30535 53316\n46795 58464\n54705 98170\n1100 48398\n14554 92890\n65705 73240\n71281 79104\n51688 94108\n39110 66486\n28673 79742\n30007 90335\n58241 68535\n14676 41440\n42647 64783\n54563 61607\n86391 90808\n5838 82891\n12696 88373\n48646 58727\n59105 66785\n48933 56411\n2695 92324\n34258 38454\n4422 25067\n65351 86384\n27276 82177\n75348 85246\n8884 49138\n71985 72144\n25320 85692\n24249 50423\n13451 70655\n5073 91994\n59315 72173\n26110 64914\n23186 45910\n30432 79608\n26849 69210\n56748 58979\n34523 60490\n5539 85197\n68156 80875\n46141 95273\n11677 43913\n21939 73119\n19914 49718\n50066 91887\n10880 73326\n304 31649\n4597 49394\n69172 94230\n13273 92083\n17676 83543\n65702 84811\n14335 16945\n2321 6382\n5946 16231\n44705 60998\n3840 58726\n14163 84083\n45934 59412\n32933 38011\n30763 54323\n64347 85657\n50752 81660\n7563 78695\n16612 93316\n73 88327\n14853 29235\n5395 80088\n16573 38257\n20126 88320\n52329 68209\n41532 71072\n33577 90410\n18727 89978\n35613 77556\n23665 35021\n6868 33074\n22417 38482\n2635 93868\n18335 20555\n7365 96340\n43500 70839\n38813 88424\n44176 94863\n14766 96125\n48136 87151\n59913 66642\n27039 70072\n72144 97087\n1503 55472\n40785 94145\n102 63799\n39658 51045\n17166 74453\n10058 94045\n15435 57564\n2661 14396\n69102 79804\n6969 10464\n29431 87119\n31628 74845\n23806 47670\n20272 63211\n29754 84475\n753 93166\n10263 52089\n28417 62799\n12657 51843\n5197 25334\n49765 64888\n37942 54333\n11505 14072\n7254 58655\n88270 99327\n17365 63428\n22144 34349\n59294 83696\n15478 91792\n33000 88265\n50502 58848\n15662 81546\n25533 99667\n21448 26537\n58471 90164\n11133 87218\n25430 80734\n43575 55439\n7017 10721\n13341 14848\n28316 41087\n72098 98693\n62836 79784\n8192 66325\n16965 20572\n11347 32691\n18591 57457\n64619 75013\n58747 91851\n56042 83080\n133 2533\n40221 93252\n6541 65384\n40172 88079\n22720 65030\n43914 57631\n35999 69799\n25214 96436\n681 25965\n37977 41499\n18864 75807\n58494 96714\n8488 12084\n25058 89078\n17203 91048\n54916 82278\n24419 95016\n41527 69681\n13501 30677\n15930 62044\n21512 73290\n53224 54750\n16084 62528\n53236 94693\n14685 92245\n56973 78539\n62992 98371\n85659 88971\n23377 54839\n49327 90714\n39183 63249\n18820 86978\n17138 78067\n38535 64527\n5882 97050\n35957 38742\n40341 53612\n48640 51415\n42122 60795\n10846 16338\n58007 63562\n38404 94998\n38622 78023\n52548 80675\n66612 95564\n17246 62588\n47296 63186\n892 66181\n73378 89836\n29680 99060\n22648 78407\n26773 29063\n11625 16053\n24804 53730\n16441 38640\n1369 28669\n68842 77846\n23673 89081\n27556 38610\n45871 69968\n4385 23555\n12288 94637\n69799 91004\n27896 63614\n68483 68919\n21921 57099\n71473 90707\n21684 41142\n6787 56037\n48634 97522\n5023 46281\n42290 78463\n46905 94951\n30664 47610\n8135 87149\n49022 91053\n38777 94818\n7698 56539\n16903 27950\n30068 47223\n30813 39078\n88796 95470\n11622 81209\n31544 53972\n80790 86045\n34879 60053\n42565 87998\n20720 78615\n26346 64987\n89879 99478\n37362 47542\n23670 64249\n70541 89470\n81057 95736\n19008 91432\n34563 77612\n24663 87546\n69564 86168\n9424 12900\n54775 67241\n43933 93190\n19667 36516\n3080 29266\n18599 25075\n32602 87686\n47023 92358\n535 94977\n68540 70945\n46149 81485\n22239 69703\n18432 19398\n37158 44909\n33299 79436\n42280 81258\n33471 67775\n65629 74175\n34655 67435\n5809 66550\n37242 99410\n52594 72825\n51032 71201\n32985 43780\n30857 57575\n11651 72504\n55723 74377\n18845 22404\n94977 99907\n22853 40970\n25936 80046\n10011 99281\n5434 34759\n13208 30892\n22020 89831\n10210 83840\n84759 87167\n24020 58589\n74261 79608\n2865 74491\n31024 93493\n14344 37511\n30386 60640\n14108 25173\n28592 44530\n7269 64272\n7583 43681\n7759 98736\n44086 73247\n47003 59418\n26606 88075\n17273 25534\n22101 29598\n51815 96433\n48327 55615\n14964 91786\n61813 97508\n54738 65347\n39333 46972\n57820 75931\n8141 36008\n67719 70792\n56171 97609\n15913 96499\n15817 48653\n63981 85289\n76259 88609\n7336 9896\n31012 93584\n41431 65809\n59732 90119\n2797 85941\n56317 90320\n74740 87876\n6437 38813\n54212 95167\n5850 45417\n26702 47743\n11523 51624\n23894 36607\n19259 62257\n74189 94795\n11050 92891\n14520 27028\n60565 71399\n36363 89323\n38642 68523\n18868 76668\n63478 93694\n70084 96385\n26521 90596\n25430 71325\n11977 96848\n2101 21133\n40184 45921\n64516 89431\n61433 69126\n6251 17517\n34019 76491\n832 23714\n75192 96035\n76498 87035\n8935 77930\n96861 96903\n80806 91708\n19359 76391\n37662 80774\n31266 43444\n10137 52480\n25564 69375\n23758 81713\n36055 95300\n40266 65149\n46817 51389\n36586 58385\n29179 31786\n39407 99566\n47853 95418\n16974 91343\n40897 84567\n69899 97309\n22107 65051\n88223 93624\n13979 58440\n6654 92433\n63093 85043\n56711 86002\n64112 90401\n41095 93560\n17355 84034\n41452 71029\n23106 88613\n6364 35314\n2612 86337\n35747 76713\n18673 61130\n1100 84675\n16504 83568\n68945 85968\n38347 57328\n14515 41298\n53830 83604\n9027 61032\n33555 48005\n53638 64704\n31456 37224\n54571 77534\n4657 40454\n21668 32079\n5025 51106\n51351 82469\n82582 89687\n50122 79831\n8746 64503\n46879 78787\n68619 72118\n8285 10949\n956 95732\n2236 50391\n43908 75400\n15039 68877\n85045 89944\n36436 73583\n60067 84808\n34606 47846\n49290 49828\n2358 73550\n7822 74450\n12640 75912\n66289 84057\n5295 85100\n33125 87922\n7087 93442\n60692 79591\n10860 80845\n57350 69810\n14209 74711\n82833 83657\n1570 75034\n14078 25072\n60498 84701\n47214 97828\n85631 87867\n2978 35047\n41969 63920\n66444 93721\n30356 78706\n12402 72335\n56748 94775\n35633 46408\n10273 25536\n61683 87102\n43384 98692\n8706 59723\n82720 97449\n48590 85076\n32565 38149\n77 7706\n6668 24883\n15709 57152\n47366 67109\n39786 49593\n24940 59406\n26339 56978\n63126 84328\n43787 49417\n17278 77855\n36569 85853\n25678 91555\n44126 65403\n9563 63828\n38346 59877\n71453 78574\n61636 90074\n26182 38454\n39218 62159\n43445 82935\n68446 85974\n44190 90442\n17588 96084\n90344 93055\n50006 95929\n11952 51365\n9842 43431\n16482 80257\n1227 69946\n48410 70083\n12506 77108\n13112 87585\n49457 62993\n28100 67369\n7148 66776\n13767 59165\n27034 37207\n36762 71028\n14296 89603\n19423 48656\n12325 93252\n59746 73041\n78751 87848\n37239 54778\n30684 76565\n12605 37436\n9908 94444\n65908 74907\n18142 47010\n6626 97133\n45054 51829\n60886 89550\n18487 67344\n13405 22684\n1772 51929\n58655 70112\n21867 24576\n26026 32903\n27303 47404\n15136 50716\n47155 98463\n39 82357\n62039 77058\n6748 12628\n77879 92176\n76850 89586\n8366 79530\n37566 60707\n72573 73247\n56973 96897\n33200 90549\n5598 67238\n363 33474\n1829 65027\n33244 95980\n82434 89744\n83071 85046\n78034 94125\n61299 73424\n20114 68062\n53128 89522\n39868 90811\n27996 42417\n16259 17263\n64507 93871\n5664 75885\n12395 60460\n33144 78960\n9174 74026\n20874 58846\n16288 70899\n60508 94515\n56706 85501\n5630 26836\n8460 78245\n19798 58224\n32265 81406\n14272 95330\n57464 63198\n24796 56332\n59474 69650\n8020 64847\n28947 51015\n8416 47540\n27647 94159\n22825 59415\n21957 69851\n14677 66531\n60366 68117\n33626 37700\n67081 67126\n38001 87805\n39611 51646\n20882 58896\n71960 85628\n72710 80203\n29766 77590\n15081 29511\n74170 79527\n16983 32089\n15252 57456\n56103 97128\n29136 77792\n26088 77298\n43184 53895\n27364 38583\n1008 2671\n4976 96997\n48070 82233\n54192 60588\n48386 67619\n62305 85156\n45022 94742\n18865 84450\n41190 66516\n38005 88052\n36528 86999\n32830 97481\n21953 84196\n16018 56089\n14161 63574\n34811 64920\n64751 84347\n16661 44150\n53999 61047\n82578 96499\n59727 69617\n21406 22717\n12079 37731\n4899 21671\n17213 53134\n20612 50283\n34647 91850\n15136 21709\n31838 82605\n41166 70528\n48851 86108\n15272 30706\n22918 49051\n45535 52134\n33209 77944\n38032 68235\n36584 50579\n89525 99478\n74759 79516\n82908 87219\n59558 79293\n30582 61716\n58567 67770\n43806 91646\n44322 59178\n82786 85366\n53911 84409\n55540 56186\n15187 61731\n2724 87667\n10387 87529\n5856 56763\n73775 86207\n57436 91201\n2271 2532\n24733 74817\n19665 34261\n61425 95197\n7918 66131\n540 76828\n772 58056\n14441 48541\n782 34105\n69156 79125\n54134 86918\n50630 94348\n66301 78667\n22298 85816\n45735 80607\n35396 49484\n277 88149\n47859 70882\n34218 77039\n60264 82377\n42756 56693\n11264 66804\n7855 29573\n34731 53300\n10829 39754\n32183 41818\n3874 27714\n58674 94831\n38224 73048\n41679 41761\n40099 76806\n11780 21217\n36702 78888\n35796 92623\n40642 50984\n45335 87499\n32484 37046\n52174 99756\n4477 24932\n28432 99032\n26230 71374\n60715 96808\n77377 85838\n6156 42720\n76424 89469\n63458 87147\n69983 72395\n851 59641\n54712 76939\n23765 52516\n17164 31375\n65583 98962\n23698 36457\n12038 47550\n1010 61253\n55927 96290\n19241 96754\n40677 74749\n25430 29384\n41510 50885\n70380 79803\n51101 86549\n38250 72407\n34904 97324\n60031 96177\n18553 71918\n19082 68678\n23500 87149\n70003 71566\n3416 34503\n16992 81667\n9342 61479\n21851 23442\n20132 52847\n1648 89065\n23125 36898\n13037 49897\n30680 39795\n38434 72293\n27342 85276\n43280 89986\n34037 61212\n36642 41916\n4359 9554\n7095 12342\n23050 68469\n33925 40176\n66049 84580\n13809 91260\n39594 87747\n16112 58950\n17821 40679\n1988 9597\n82047 87855\n65490 87611\n54364 62451\n22552 49103\n44701 79981\n39185 69881\n22614 94960\n56109 79981\n18396 70316\n7920 86573\n4842 85853\n22638 26833\n27266 83007\n23091 60067\n615 47260\n2647 90061\n69091 79837\n9067 60493\n11285 69587\n82739 98235\n67846 75893\n42394 79775\n10418 52801\n1623 63620\n16651 98145\n26088 34798\n14448 87839\n31598 41512\n57383 63603\n49208 86249\n60197 71932\n4941 13882\n19100 52571\n19147 42712\n54927 84271\n54056 58753\n50875 52223\n55757 81429\n11799 81799\n28611 94583\n37634 83262\n27694 53515\n12231 82230\n22042 80799\n68329 96738\n89607 91660\n7547 76744\n9804 79619\n67414 88116\n26618 57028\n77418 81966\n21356 54493\n22491 55278\n46510 54973\n8701 9749\n8215 10975\n4972 7735\n24209 32436\n25291 78486\n52392 90185\n46450 95886\n8804 55327\n45330 50639\n74502 76622\n59505 83982\n23462 93135\n10859 92906\n52447 96352\n33948 94142\n76333 78103\n18185 66704\n21153 73875\n4734 13363\n60823 80942\n567 17674\n3208 64978\n72365 98062\n9318 71992\n88052 96253\n32111 33421\n7449 56729\n30715 76742\n37296 63142\n20703 74645\n51875 79974\n40072 79995\n68532 85886\n26558 44983\n51097 74708\n9457 22026\n36725 84777\n4099 90375\n75383 96163\n38158 65558\n68954 96536\n18733 76834\n7690 9230\n38643 77997\n13594 46465\n21724 34917\n6899 44436\n13356 53095\n71170 93591\n61614 94600\n39250 94490\n9320 99643\n39760 70403\n2630 21438\n10375 27552\n5209 90954\n49745 62115\n56300 87142\n64878 68488\n5659 63677\n41550 87593\n57261 88114\n79564 82997\n85198 93458\n15460 92256\n3412 37816\n67448 89430\n9008 83134\n62881 69186\n64487 79908\n46937 98153\n3267 18190\n29529 37568\n46090 90928\n34337 42060\n28545 83092\n74323 97504\n82064 83094\n97300 98156\n12802 19580\n13629 39397\n1085 16178\n130 17919\n62368 68551\n26598 97518\n3507 19138\n14278 41115\n51393 54651\n17197 69934\n23427 33812\n23047 50784\n19869 70198\n67623 85784\n14150 47737\n5304 18847\n29548 53716\n12097 62280\n65178 82894\n14536 29375\n5658 63850\n19170 82730\n66568 90074\n45051 64766\n44152 71360\n53912 98712\n16895 46911\n22588 66095\n23353 66882\n5933 17809\n36839 70743\n34744 87594\n17349 61126\n96481 97357\n8807 67769\n17900 48744\n63729 67150\n4717 55675\n13446 29819\n75220 94111\n52945 73023\n10555 50471\n11467 34916\n34951 52559\n1077 85045\n40449 96113\n72222 97135\n23868 28175\n12440 78009\n27001 37309\n38680 95428\n67893 96022\n19777 95418\n15825 27639\n51671 96361\n62170 73622\n971 65335\n1359 43641\n88469 95602\n17256 68271\n47143 51107\n1818 54188\n71777 77150\n76366 84239\n52330 64489\n25680 96387\n11503 19128\n15220 83139\n60470 93462\n39485 79400\n17458 21820\n8322 86290\n66077 94532\n30854 37841\n43699 52188\n46740 73628\n20392 42111\n13940 86148\n3229 87373\n71718 76295\n85875 94598\n26021 82546\n22910 27271\n61829 94638\n28390 48738\n7914 33176\n13103 29221\n44993 95714\n70408 79647\n62212 87586\n26620 47090\n37848 96748\n17932 39900\n6332 43659\n77232 86589\n52852 68597\n6394 97423\n2635 92905\n49125 89662\n661 51939\n31484 69499\n26779 29376\n55478 60090\n869 35442\n22376 74156\n24876 85455\n59970 73101\n47598 61844\n44912 87013\n39653 93601\n26652 35123\n41390 58666\n42934 75554\n15041 85723\n9845 61678\n24370 53938\n34266 75554\n1985 71715\n13813 36425\n25181 39983\n4426 45622\n44132 50136\n74188 81511\n7784 9685\n53875 76050\n48683 90930\n58156 87086\n23754 92530\n77348 83972\n52154 79134\n11955 58416\n19135 40743\n10438 24997\n14695 42436\n16607 94929\n60574 76280\n26804 38801\n8670 37780\n40593 62457\n18425 34274\n13207 15582\n38262 64401\n15267 33028\n30579 37799\n76005 81289\n9341 54335\n2039 26242\n31913 68053\n55442 88195\n14029 91917\n2292 44014\n36686 85178\n32693 34332\n53533 87013\n23244 79441\n20150 31779\n2558 93006\n25829 83761\n73090 78418\n54223 84318\n50308 97197\n53209 78653\n34719 92369\n78017 83057\n33631 90382\n33468 42309\n21521 50519\n1156 47833\n7706 45868\n66748 94115\n11263 53009\n29627 50163\n27269 91982\n5384 39238\n87957 95082\n12735 23329\n2546 8692\n49044 55778\n6598 72685\n28945 92864\n31981 96770\n34698 76369\n36494 78002\n912 64742\n28320 69084\n14055 78510\n1578 44151\n37565 67338\n29096 82035\n40916 80148\n53391 58781\n23282 96509\n27258 44887\n46593 84276\n73702 87237\n10576 33323\n79697 81707\n18520 63760\n57306 86590\n19429 59761\n390 52529\n19218 61807\n37522 48094\n7136 76869\n46223 94105\n56091 81141\n55199 93912\n48302 74051\n2679 66488\n46694 95884\n70109 72947\n75534 92695\n5282 24232\n713 20782\n16128 66963\n46447 71442\n79318 99636\n4878 22319\n17185 99977\n2902 23576\n30370 48555\n64154 69375\n33470 89118\n34342 85357\n83981 87748\n82323 93748\n1958 26870\n5071 31008\n29223 64118\n24267 62627\n12145 28123\n29052 49345\n52102 85516\n5617 28753\n15981 21108\n24794 27225\n17816 70997\n4598 69369\n55021 67584\n5473 85999\n38496 81020\n35574 72793\n53151 93471\n18669 74330\n1562 95577\n44236 65848\n13463 69213\n11197 76346\n71982 93304\n52768 74720\n39222 93622\n27818 70250\n12274 35565\n7355 56938\n12040 40328\n9336 16386\n58256 76428\n23851 98091\n32045 41257\n25138 29716\n35340 65526\n2261 27131\n79210 87483\n59533 97902\n25247 64560\n2710 63665\n28548 60107\n70670 99663\n23560 99215\n76673 87512\n11626 54083\n59692 61193\n59187 95800\n37686 47197\n15087 44609\n3011 47533\n57154 83644\n38052 47091\n8932 34823\n9794 71664\n8557 74149\n8188 34176\n79638 84052\n70469 89299\n49826 94572\n41418 51823\n1016 33745\n32450 58488\n48485 98548\n46452 85350\n83656 86474\n9144 12166\n1680 76209\n13428 70023\n79591 93417\n78648 98720\n23660 44163\n17873 26415\n29098 46107\n29929 36326\n52634 82317\n32527 96221\n28956 68621\n44371 89538\n2315 31986\n46369 83267\n837 83743\n48538 57485\n19044 96036\n70044 87658\n44857 96363\n4199 36952\n18212 59869\n58767 77659\n4822 75539\n25883 27593\n90898 93144\n23170 51681\n2718 43678\n3530 58679\n3049 6098\n48279 94967\n293 90150\n12173 24506\n37931 69998\n59202 71178\n67609 68644\n43060 94416\n16798 49338\n19686 37772\n25173 38007\n14579 24737\n69547 89943\n27546 84543\n64805 77532\n7316 29064\n79225 93339\n7262 22045\n33064 67592\n14033 86935\n9514 89106\n56665 82374\n27907 85275\n15849 61067\n42801 59387\n69682 87003\n2518 82911\n27659 89017\n20897 42710\n37197 98410\n17742 62575\n74114 75614\n4928 30206\n23597 70790\n62834 79679\n23050 72891\n12034 85789\n38013 66245\n21008 81867\n42711 94669\n32600 69628\n50153 85789\n8910 73660\n39169 99024\n51837 92617\n844 32088\n25656 77412\n3051 15057\n66109 80228\n46015 69975\n40337 66457\n35874 69503\n8187 52133\n23730 81251\n9471 21657\n84092 94424\n12801 47029\n11600 90824\n55907 88352\n26337 27774\n21799 51701\n45510 61444\n15539 55057\n371 66172\n2038 93789\n45403 99004\n12694 48892\n4358 16723\n980 51856\n29158 92099\n32709 57998\n64478 96123\n14882 83066\n4136 58470\n57019 72163\n74405 99201\n29745 90488\n24183 77700\n12899 43794\n5259 43377\n88462 95164\n13874 34808\n71104 79929\n31070 62561\n8545 50473\n57252 58028\n51395 78613\n28106 63313\n44488 85613\n39824 63400\n17559 79545\n71389 82639\n58678 70319\n14931 68194\n28013 51637\n10918 88992\n10440 44042\n52805 87396\n45343 78640\n17665 80862\n48998 97702\n16706 19340\n4630 25394\n14108 99940\n25893 49257\n45258 64599\n75426 82829\n56411 67261\n37337 42599\n32207 83070\n2749 52551\n30746 99423\n17821 25658\n35783 89268\n50656 57196\n70194 73074\n28543 38421\n21211 49360\n5183 22471\n46677 85444\n76461 86794\n11338 49634\n21421 66085\n52598 77638\n63358 90239\n15687 17665\n54515 56094\n29793 73259\n6060 27474\n36135 37724\n27208 56509\n14523 31537\n5935 53568\n21136 91020\n29470 39587\n70380 87013\n5774 39693\n23490 70423\n14953 98690\n13503 50665\n56329 59241\n19625 45333\n66409 73875\n32911 43946\n39815 67632\n42032 55259\n38180 99560\n4071 59783\n17823 66610\n45879 56246\n66920 92701\n55237 68167\n39788 71715\n67324 93954\n56232 85633\n3442 73945\n32720 91753\n69678 92105\n53267 87000\n32046 38234\n85578 85610\n18748 30727\n78174 87132\n55282 84285\n9935 56936\n9897 45489\n47505 99991\n12810 96745\n40060 59483\n50 83926\n39698 60321\n45214 73601\n11956 82498\n23273 36036\n2445 80603\n39208 88843\n66249 88905\n65573 99824\n7232 67488\n22609 81973\n71761 95414\n21280 47160\n50861 75336\n61651 79574\n1461 35625\n15503 55076\n16226 58855\n3473 33038\n31276 66284\n4185 23858\n11681 76929\n2660 49763\n17440 66842\n50499 83522\n865 98912\n76248 90069\n49257 61576\n22593 42034\n45962 91807\n35587 56264\n39333 57637\n27265 45367\n4573 5801\n36196 94889\n23853 81070\n37979 99855\n14054 23023\n27982 47971\n59758 89437\n28589 84582\n23171 30700\n18471 79116\n34773 52523\n18540 52268\n18822 23893\n39367 65633\n39891 95963\n21735 42972\n15612 72967\n36386 61408\n33554 42848\n30721 34392\n66639 97693\n1195 54063\n62755 81210\n16337 55562\n34854 87243\n25659 34187\n30748 73421\n33884 83104\n52990 72339\n45192 94471\n23667 66419\n8691 53418\n22713 68782\n7709 17159\n70530 86659\n22282 74766\n21223 63490\n7896 75729\n45290 94094\n18695 24187\n67411 79361\n6912 90706\n34327 35265\n59979 78910\n37013 98150\n1312 78765\n7173 20473\n19901 51018\n40367 82438\n15988 30798\n28898 96819\n49223 98773\n23850 70626\n52032 75055\n4089 6241\n22657 80434\n9157 74093\n1885 8106\n3548 69431\n71829 92735\n51474 96977\n29991 33536\n13030 89999\n39605 40804\n76943 91762\n48053 58572\n79366 94899\n6359 59616\n20682 21795\n67242 79104\n55644 62766\n10166 66561\n24725 68221\n18842 27885\n39965 97416\n50944 80007\n26136 46704\n23687 68039\n62142 98569\n5260 7898\n20307 89143\n63740 66868\n72339 75073\n25625 49431\n6076 81480\n7281 95978\n55766 59297\n18976 58727\n14975 23149\n77491 77915\n28991 38750\n30216 61877\n15347 93851\n12375 58478\n50014 73451\n48170 66796\n10285 22349\n23907 97182\n50009 57427\n17902 25745\n80270 84747\n41903 76786\n20210 96461\n41905 81821\n5279 49085\n78321 88020\n75691 78756\n22799 57802\n87704 90826\n19044 34812\n34209 78925\n80198 85132\n1299 72263\n4633 52235\n55406 83912\n18918 63864\n62075 93547\n10392 25665\n39563 78130\n54342 59107\n20835 78539\n36939 93946\n13114 69684\n87876 97040\n17787 96130\n1309 88584\n2879 90669\n63711 76757\n41491 72151\n69059 94838\n37502 82309\n74533 92579\n63876 68221\n19246 61778\n79571 80783\n35362 98057\n55235 72765\n18321 64529\n34362 67583\n46564 56236\n19665 40834\n77318 77683\n54293 79913\n28826 58029\n23248 78501\n31213 99339\n12255 37644\n4784 31489\n50 7711\n4212 9765\n48670 73256\n43337 77240\n26404 48470\n20569 86649\n16872 57920\n61847 62516\n84546 97996\n39780 66089\n6970 39889\n37143 95403\n11184 59629\n64171 76728\n71550 90596\n2245 75012\n7844 34714\n35456 58090\n46762 67242\n4486 29716\n12038 37600\n30166 77482\n72546 82416\n8016 34691\n20364 49927\n39150 70538\n6368 65534\n8433 56218\n65208 98600\n26370 49565\n70032 96152\n54831 77377\n4657 6012\n15966 57753\n16470 53224\n68437 71922\n55146 80978\n5405 40774\n28971 83261\n84513 89439\n40572 55962\n13584 75396\n5852 81595\n36425 72446\n44538 89471\n19862 88596\n29655 91140\n22769 53807\n14029 59765\n852 2940\n133 65207\n45559 60995\n41580 89312\n77333 83405\n816 27556\n14069 77855\n34501 73540\n27143 76738\n9927 53548\n6137 7974\n39420 86288\n29622 34852\n41167 72159\n2713 56186\n54923 64472\n7732 17574\n874 21796\n46988 99051\n27226 74885\n4512 96364\n83058 86323\n8749 13724\n27345 69514\n22169 39639\n13107 82425\n51089 99691\n1629 69862\n48617 92571\n48568 50060\n28372 67622\n3143 80624\n44821 85834\n20735 29943\n59862 97520\n34386 84676\n39354 86453\n56521 60658\n82798 94103\n43550 97341\n16859 25138\n24578 85293\n47329 81237\n26367 71776\n59186 66767\n15854 39183\n17607 55449\n64713 86350\n2957 39255\n33697 67552\n20962 35604\n13607 46902\n27936 55313\n68493 90133\n15331 82130\n65411 91433\n42049 42721\n67132 78435\n21173 41069\n1854 22066\n5147 90304\n1186 52317\n70260 78406\n19641 42708\n10104 63710\n27349 50087\n8788 44036\n62690 94240\n23133 95473\n20655 47522\n27349 35639\n58586 70519\n35226 81428\n2532 82259\n53279 75518\n62073 95909\n23048 73263\n15970 66094\n44458 91527\n78392 83523\n53279 68243\n43390 48726\n78402 83825\n17122 82243\n15704 67444\n58192 68508\n26050 76281\n31170 32298\n22865 47295\n71561 88604\n7672 75122\n39301 51896\n1273 65988\n8958 94842\n28832 96603\n40598 49149\n8174 32500\n56468 98112\n1712 65252\n63356 91040\n47896 65501\n11779 28039\n17114 85596\n43286 75154\n12022 92490\n31538 97094\n39050 86167\n62212 77479\n3557 27234\n59778 69781\n39777 41924\n17051 44906\n53012 53013\n11072 53129\n5732 31782\n47599 65802\n11143 49419\n23540 27292\n61477 94458\n22931 58835\n37359 84879\n45621 80182\n13164 76872\n11633 37714\n23671 77232\n10727 40123\n23988 62798\n49941 54431\n25083 39914\n44196 85124\n60013 73868\n49951 61907\n4376 72607\n8097 67692\n8915 54961\n26013 45455\n37023 43460\n8231 19279\n2458 59971\n18411 28145\n13226 56909\n7161 44638\n11079 20112\n10444 59186\n98309 98690\n70779 71658\n60173 61916\n35319 84146\n37013 50262\n54801 68273\n4911 9126\n71574 78122\n54340 97946\n16460 44034\n28372 48823\n20089 91937\n56659 82120\n9665 62590\n44934 52766\n38983 51663\n13484 59361\n34046 85721\n66508 86405\n51857 75428\n83448 98942\n8630 72170\n35578 96999\n32340 80019\n120 87170\n47654 97342\n40202 83393\n38450 91865\n81390 84424\n3642 84513\n11284 26078\n15136 20909\n20630 51703\n44509 56225\n6572 74967\n32425 64515\n53091 73749\n21817 67694\n57192 66192\n62936 90797\n22547 59062\n3764 56991\n35211 59040\n24748 54655\n61192 65286\n16634 21437\n20761 30241\n52008 76320\n1917 13546\n24590 30182\n14972 22732\n71556 92478\n16803 81231\n4172 8787\n51039 99134\n59894 68081\n37816 55150\n20854 87201\n73286 99365\n2304 74363\n28897 70523\n65647 87332\n77735 95893\n27740 59734\n17803 98499\n3058 38044\n81418 97694\n2985 68707\n33547 68087\n10764 22456\n18851 67704\n22501 39612\n54199 83408\n43307 85879\n54729 68504\n22480 43755\n1677 73400\n19048 67943\n13439 77548\n43325 90984\n40560 86699\n19736 76359\n23099 25854\n49412 57783\n38730 50197\n26013 49832\n19800 70008\n45357 70609\n5044 75716\n23074 90940\n23910 72903\n81659 99977\n22074 43459\n55626 82983\n61426 67955\n29278 87433\n22595 60749\n49397 69949\n9527 16517\n51984 66884\n33417 71384\n12226 73064\n15552 79186\n7787 71905\n67543 69165\n11961 44843\n43511 98863\n46644 51836\n16088 83160\n64583 91751\n2918 69168\n5048 75392\n20420 38636\n2996 20851\n15434 96315\n3717 70117\n19534 27639\n49061 69688\n1448 49139\n50263 92290\n1655 94850\n42949 43943\n39865 89958\n6445 62864\n82531 85156\n40705 80838\n21543 43921\n72788 73106\n8926 42934\n13365 26863\n37397 73351\n44150 61064\n7892 83998\n5859 97976\n72987 95730\n27676 84452\n68804 99906\n44410 61270\n45358 98742\n34025 68588\n5947 9484\n3510 5283\n35286 57095\n72446 95318\n48019 61712\n41599 55885\n9599 86229\n13291 43584\n83604 89487\n24546 44220\n19725 46953\n53713 63581\n47905 99851\n56883 77974\n31178 37961\n3753 82826\n24438 84672\n28434 57043\n61850 82066\n47626 58189\n25462 34387\n60284 80778\n68805 69038\n25186 44594\n70730 92536\n18793 64828\n35268 65469\n48867 57163\n4662 61734\n30198 74479\n8523 62408\n5623 48722\n57912 93262\n18201 56618\n1589 73478\n22058 61624\n68531 83628\n47511 47739\n25221 96558\n35947 72416\n10552 84125\n874 65680\n13035 32736\n52127 60392\n30594 46130\n3489 42516\n66261 99600\n77024 94689\n9866 34822\n56690 84964\n37004 76836\n58815 94299\n4796 46209\n50941 55059\n20511 66000\n29292 51798\n6925 35538\n73986 85710\n3266 30601\n52378 89275\n10295 58244\n6907 86275\n8089 27046\n3350 89983\n44001 47267\n15725 63575\n9656 72327\n33016 98221\n18519 96856\n65474 81949\n16533 95367\n39444 91252\n1113 75092\n61997 86678\n26682 81349\n29278 37103\n15267 42488\n50506 89596\n48804 49136\n11147 22646\n33325 94191\n21116 43541\n22499 38325\n13965 91016\n40827 66187\n70752 79878\n10710 88731\n17873 79288\n21454 26935\n69114 70501\n13145 89202\n63800 91760\n32025 92500\n22491 53269\n51162 54035\n29916 98067\n10784 62635\n62412 91658\n73586 91301\n24028 29029\n3822 78969\n797 12914\n26546 67749\n31750 81836\n20748 53266\n60781 83770\n31562 33587\n31729 88031\n19239 34674\n23985 93574\n33278 62401\n67688 76668\n44655 54023\n3793 87184\n124 97801\n15069 16299\n36521 71274\n25089 63272\n79931 88785\n83037 90615\n9150 31753\n6296 34899\n61256 68726\n53223 84606\n8075 31981\n36021 81303\n44244 74506\n32426 85646\n23037 79826\n18473 41422\n50915 60728\n58193 60433\n82482 86760\n1354 12060\n51322 84051\n9712 36227\n67879 82695\n22563 82447\n44153 65915\n3705 87045\n34444 96997\n8664 12937\n93363 94055\n5598 55850\n29643 66939\n11956 18239\n27858 98297\n4126 43747\n35725 42122\n45180 86940\n15868 64299\n1451 14516\n55395 96031\n54049 68426\n69268 77077\n39431 98121\n23419 64509\n16066 50855\n42010 95766\n16924 38926\n7256 66169\n3801 97675\n12697 32875\n33363 72363\n1242 59025\n968 24291\n3987 22741\n4984 54676\n8038 71695\n28110 71168\n75818 89079\n26686 31120\n56905 63059\n17400 30313\n43547 63722\n5343 69757\n50336 90737\n8104 97570\n15530 19947\n39287 88586\n2281 43743\n62162 72249\n33391 44523\n1880 83067\n28916 76435\n19353 35836\n10284 29081\n2141 24955\n17812 57001\n15740 72887\n69960 91401\n1112 36070\n5698 53424\n85345 93761\n4672 61299\n30742 49319\n17050 39395\n43181 96744\n7982 91919\n40000 73163\n41224 53543\n37010 72635\n56865 57426\n33668 77669\n19149 89562\n80633 92388\n6006 63670\n33790 87105\n5659 80361\n14263 75857\n84229 96119\n32206 39934\n246 50163\n39419 81778\n4251 16441\n1409 82226\n12260 63834\n5474 73981\n24453 41457\n17142 18381\n81024 86732\n419 25344\n20280 34359\n19352 34622\n27267 69076\n30944 78220\n3841 96501\n9608 29868\n31982 54167\n84809 88815\n20732 60506\n16416 61595\n44132 89416\n80216 97625\n28577 96950\n12786 94746\n28494 40831\n88458 89718\n21483 67734\n65529 77298\n20403 76351\n31977 95000\n10477 33566\n44176 48002\n10484 86881\n28726 51815\n30557 85912\n12584 79441\n42589 87957\n53966 78588\n26062 98479\n36582 59341\n27339 67054\n71412 81718\n13821 54578\n6221 54297\n37972 46939\n3801 59900\n50680 65557\n13507 27623\n32905 80408\n92919 95102\n82329 88038\n37215 60853\n4355 20329\n57781 99452\n33984 98520\n59960 98372\n14363 89351\n39268 59884\n47053 90752\n3580 3680\n67158 94327\n13413 77246\n15740 59221\n18900 33827\n57905 69790\n85873 99905\n7206 82765\n42790 80234\n20388 73158\n19909 71610\n35253 71425\n50087 57026\n36856 98287\n31600 61642\n44334 95075\n633 37220\n45460 75517\n28777 57055\n525 39926\n15558 26492\n19650 66896\n12590 29575\n47276 70325\n9599 28119\n30609 43412\n15024 64107\n4132 70927\n29879 83471\n35007 77696\n32174 64614\n88532 89543\n20893 27666\n4591 38294\n47037 77671\n38686 98261\n51893 80813\n35324 38471\n4852 15493\n43270 46470\n77826 91239\n22895 25460\n4309 69036\n28635 42469\n25194 41818\n20007 60730\n48871 65357\n18780 98863\n10091 38441\n41467 45893\n56258 96730\n20046 96196\n47310 91566\n33515 70219\n1084 44900\n76995 86685\n68565 87150\n1413 98551\n48648 72927\n66121 96086\n4493 52751\n54116 67751\n26302 55824\n326 58446\n26277 46677\n59082 72942\n17844 70903\n37641 48139\n23592 57882\n17948 21360\n80502 98239\n47321 85142\n16732 51958\n32287 63991\n51763 72160\n51891 91066\n34303 74184\n35547 91263\n54298 79609\n52708 56266\n8371 59818\n78494 79055\n16942 25669\n30733 96956\n35426 59173\n14263 60351\n26819 89887\n4879 75764\n5861 18633\n14117 72731\n26024 31741\n9050 72930\n46988 54929\n1568 75818\n34734 81711\n47467 83722\n16877 29304\n27234 56706\n20673 66973\n41087 63547\n24385 58170\n697 90163\n20807 69371\n48807 71332\n48096 68814\n3115 9088\n67155 74651\n52618 58879\n14214 50211\n12437 54206\n76084 95444\n21638 26470\n66505 73763\n9210 14176\n30347 69579\n15930 20153\n4299 77756\n86846 91689\n87388 91520\n1834 79960\n3208 4701\n6224 23120\n43901 48994\n24558 87040\n21508 31003\n36290 50245\n24659 27992\n27012 45214\n11663 79360\n36672 68312\n11577 12718\n9401 30071\n27247 68454\n32655 74216\n77016 79012\n17709 56441\n81873 90205\n9520 48945\n1831 4195\n15342 38600\n23337 86907\n18075 43297\n79086 96305\n40083 64692\n1824 59739\n28607 43071\n65568 82574\n10834 48200\n51952 73915\n78179 98369\n2440 18290\n35496 56193\n24839 35313\n58438 77337\n28373 62155\n75197 89810\n19298 90334\n19737 72317\n24063 86181\n442 99744\n9277 93633\n38498 58948\n72390 74255\n32311 61199\n17906 79561\n63181 69322\n27835 98795\n14215 37207\n6700 95109\n2 66955\n66043 89721\n8441 80508\n68000 88468\n68296 99743\n1633 72374\n23814 56085\n9486 18813\n56912 70538\n22372 72130\n22382 27207\n49580 90249\n76216 95516\n44172 59998\n44150 56610\n29686 46077\n57019 81158\n52690 63795\n69031 74806\n20208 54810\n13156 34226\n53793 79739\n10275 85354\n4385 12542\n7042 20853\n75131 84201\n41261 96375\n18766 91368\n51228 89915\n37856 76730\n60245 68856\n62554 76473\n83093 90682\n20884 74612\n24928 35843\n36473 56895\n44347 83781\n23592 90495\n98818 99488\n42641 78326\n38595 88983\n16262 92069\n51065 79754\n7685 61918\n17903 21773\n31587 73855\n25370 86266\n70423 87820\n39344 71148\n16964 27496\n70207 78488\n42613 45467\n21193 59283\n4990 73168\n52229 80004\n70413 85482\n3286 94373\n51981 72918\n5973 44088\n90225 99468\n58834 92742\n54439 65697\n56006 79226\n192 22484\n10724 66417\n39770 41592\n33093 84482\n9330 21310\n18715 81195\n23803 50610\n63104 74688\n45679 89231\n40156 61907\n3682 76391\n73051 81074\n13739 81426\n49062 79854\n33508 63231\n24471 40286\n3658 26812\n54040 75357\n25636 87815\n5933 25220\n6316 96321\n7740 33495\n1726 99365\n1454 1598\n5938 58879\n35677 66668\n75621 97032\n28031 59818\n43599 98558\n34036 68968\n30015 35241\n50317 86988\n28229 68492\n31428 45575\n132 13623\n22881 76051\n24086 90426\n5662 78695\n35261 51365\n8651 75539\n86962 90329\n33539 36316\n10091 76525\n20423 56462\n22997 30483\n26695 33155\n76479 93637\n55909 84186\n24935 35486\n42460 61000\n47289 58412\n4479 55652\n42103 60021\n82848 94301\n18082 71193\n3557 59701\n10428 89045\n21677 49376\n67856 80293\n54332 82505\n26303 67638\n55942 62972\n41176 41860\n57133 76256\n4785 86528\n19535 87173\n50589 64300\n8889 21012\n77603 82214\n65370 71561\n50561 65342\n28701 87974\n93589 96313\n36366 57658\n11580 79249\n1469 65738\n33158 38771\n18239 64774\n60330 68297\n41090 83399\n75986 99169\n31049 43046\n59614 73045\n74410 91219\n52743 63956\n23187 47329\n12954 99272\n46883 61518\n50905 61289\n12525 84545\n23845 62021\n42567 68678\n10821 94412\n5329 52489\n57024 59729\n51204 78734\n81120 93533\n4793 43760\n2008 60236\n50301 95468\n68469 70791\n70221 74302\n48399 93565\n11019 12233\n57760 85623\n38880 63019\n21768 99770\n24462 37358\n25939 40556\n63578 98664\n90676 98156\n49594 54949\n19149 88450\n65626 89517\n12514 87553\n36346 58826\n14030 58847\n20625 30659\n57523 64850\n48878 57740\n58216 92015\n36415 79976\n17659 22650\n72208 88565\n25499 56007\n18510 39393\n21282 85201\n43227 73500\n14132 29380\n31607 42853\n33053 92125\n38141 89239\n42540 56120\n30063 36007\n28977 60958\n23482 86679\n14458 26878\n6575 56854\n52044 95197\n7102 57543\n76003 86822\n50163 75104\n41167 87013\n15317 23173\n40072 91846\n41497 99804\n38529 85695\n18958 92800\n42840 73308\n29556 98666\n6312 92046\n3628 42209\n16476 94333\n53160 91459\n13791 22834\n34720 63815\n33928 86617\n1219 91035\n17491 31348\n42032 67527\n12936 69250\n9296 13410\n43190 50355\n75307 88006\n20173 40661\n7312 81521\n24343 82135\n38053 61394\n71245 84452\n3354 75508\n2120 22618\n75514 80615\n16193 31655\n8422 42711\n2629 83273\n8734 48301\n11117 14899\n74267 96848\n34855 43876\n35104 62881\n7163 63781\n11409 15658\n17182 79691\n4269 64007\n28863 49510\n34580 73790\n37303 86156\n7949 9065\n14565 82250\n13123 50552\n63539 91180\n57899 63722\n16760 93042\n32307 43343\n52098 98904\n11744 25995\n52823 60438\n4076 52235\n7477 68018\n25497 81626\n46126 87612\n46586 80984\n67007 71491\n35325 75825\n3420 86340\n65497 97776\n7880 31964\n3475 68530\n12493 66215\n80362 85090\n75591 86372\n24097 52857\n8574 89774\n61185 97462\n12180 97216\n71109 96903\n61145 72956\n46830 56155\n360 57500\n33174 90742\n25530 36899\n16837 64880\n61571 69399\n50216 87733\n4428 71489\n22942 47678\n14958 35696\n20516 69971\n19584 25375\n89395 95923\n64892 80190\n50390 57342\n29449 54338\n44033 91116\n21423 93257\n43401 95793\n19839 91855\n73293 83958\n29384 91061\n12605 32847\n68596 75253\n9202 43563\n10680 49149\n53400 62495\n26307 27280\n45590 61503\n15822 58949\n22814 30809\n5866 6152\n9473 22300\n51966 99593\n54150 75861\n60840 77233\n85811 88681\n45248 79270\n25773 43559\n89106 94279\n42055 67729\n61389 72569\n17075 92539\n7876 18754\n89221 97875\n1172 76437\n3000 96286\n9843 69884\n2825 96891\n49276 96921\n38250 92560\n38982 89130\n34321 35519\n2524 49945\n69518 75080\n95657 98574\n32203 68499\n13128 47429\n18298 76986\n29273 52358\n84979 87144\n2472 40083\n75684 82754\n11633 54754\n6648 45319\n66487 81843\n17360 52749\n5124 34176\n21564 87339\n5550 73922\n42569 50450\n25407 30956\n4309 37033\n70568 80328\n62253 78445\n35378 75921\n6120 91718\n63382 87606\n81182 99928\n18148 24699\n40928 89313\n59301 67288\n37713 76572\n39889 54154\n5085 48941\n16715 17618\n14814 71731\n26232 47330\n38912 95775\n62162 96991\n61903 63912\n35645 88422\n43415 87393\n24891 35890\n70729 90387\n16368 51488\n28178 54428\n40526 90671\n37070 71061\n50305 86463\n80231 81734\n77631 99221\n66261 83197\n72219 90556\n72569 83734\n11154 52703\n5381 92732\n38805 74532\n23311 36024\n10941 96638\n50274 93376\n7492 11921\n40186 65217\n13636 97208\n42555 48568\n12583 53499\n49434 79567\n40103 77774\n78510 79646\n28180 87638\n45833 62933\n34148 47511\n73581 95955\n57419 93488\n56214 79899\n8764 49007\n32568 63632\n75851 79866\n12797 70417\n4360 90816\n22414 46351\n5579 68153\n85892 93424\n3430 19362\n13929 57064\n45382 46801\n60948 93804\n41122 95606\n26075 61822\n18705 27319\n24734 93931\n37049 46343\n14408 71336\n9148 75799\n60475 89786\n18720 64224\n13328 42423\n26042 87997\n3244 53233\n60605 94177\n45304 60709\n39209 65806\n13521 40970\n56522 58089\n5645 59739\n59015 89030\n71346 88058\n44457 47105\n70488 70984\n82954 83057\n60384 89288\n50938 60228\n6388 48585\n859 21914\n34836 64507\n42336 99562\n6683 99520\n73647 93853\n21544 93049\n28338 70455\n34109 50463\n35381 68977\n17749 43143\n4340 45082\n51516 97852\n26536 33709\n4665 66208\n26523 68128\n10720 68090\n33282 39971\n33058 65439\n42926 58165\n14404 22910\n38629 58338\n61697 84668\n55716 59273\n33800 61440\n27819 90382\n36405 90453\n11049 11504\n37468 41969\n14695 89321\n89464 99773\n8301 77583\n27827 50696\n87220 92017\n15964 45795\n60723 78727\n72451 76687\n12379 98022\n107 87720\n19500 71334\n56580 69686\n13795 22761\n8758 51940\n45325 69197\n37949 47161\n9748 33465\n2460 45498\n36703 94659\n31751 64459\n8368 64041\n29394 88789\n35814 37000\n5662 8651\n47259 96907\n54201 86646\n94289 98324\n73432 80852\n7728 78046\n47786 80070\n45344 52895\n42076 58866\n17356 66654\n45192 87264\n40490 71962\n7662 41134\n12193 71538\n26490 62185\n11750 28564\n13846 61997\n3347 60323\n22139 95050\n60117 96092\n53541 80587\n33355 74182\n31922 47997\n26057 68181\n36178 81972\n1829 96154\n4685 75879\n28088 83103\n6790 17306\n88963 91301\n16246 30578\n15979 95405\n37440 76437\n48002 63997\n58579 64284\n38533 39109\n4716 47678\n1376 76731\n11219 27547\n20346 95470\n28554 29871\n59366 62887\n3870 80254\n24314 34117\n40550 46725\n14815 93844\n8057 71599\n7414 70398\n24080 44170\n33492 55361\n59094 85433\n79613 95809\n90617 91011\n40264 54028\n53047 54094\n37797 51492\n42619 63933\n40393 62687\n21088 22807\n32580 70890\n64153 66648\n12504 88863\n32328 94560\n8591 65097\n45763 97484\n56951 89093\n39010 60829\n10630 47021\n61154 70790\n7242 69975\n2473 35363\n33489 73065\n19760 69846\n39763 54664\n21825 93218\n39 95531\n35069 67790\n30913 72327\n16298 18461\n16964 89395\n46617 69643\n13302 53046\n70030 79212\n5268 69213\n79533 86201\n61678 95334\n71756 93154\n13324 85127\n34673 41769\n1542 61540\n56529 94244\n5050 9292\n15554 39671\n45491 73399\n61145 72097\n50846 52766\n11803 16319\n18699 78971\n32972 50519\n21411 85688\n141 43023\n24506 54409\n12243 70096\n12312 32584\n11233 43014\n55139 64041\n32558 82189\n64019 69775\n55839 69259\n55659 82723\n45054 72686\n22192 39542\n23819 29387\n10521 39898\n63882 92044\n26559 75929\n98013 99896\n29390 88997\n12619 34978\n48095 66874\n22523 82894\n39378 99585\n14802 87566\n51314 57473\n53208 80250\n15164 26754\n58234 94686\n12727 74945\n74892 84259\n29978 88401\n40438 54945\n2317 45526\n18217 37093\n16667 82927\n61064 96530\n48375 69774\n9148 95418\n62497 71951\n23694 52172\n61734 76848\n14263 68023\n46165 74554\n5396 88491\n73564 92840\n87485 87918\n42245 80467\n42515 95139\n11348 56569\n56191 78845\n76717 91660\n3059 9652\n88240 93080\n16344 93545\n48465 91361\n51244 82365\n11543 89417\n27462 85419\n2141 57994\n67442 92964\n3010 42755\n41566 89175\n15298 42374\n88322 92790\n22655 40735\n10024 38160\n60733 68837\n59756 90249\n33292 41753\n46456 73216\n67801 75480\n18949 31187\n53756 88432\n55015 80248\n14726 88915\n1413 96588\n80097 84477\n24099 27382\n25446 96433\n61559 96920\n18719 77057\n44483 46113\n57481 83941\n21754 72456\n7990 10697\n14167 28902\n47085 47679\n18034 27311\n30635 58568\n42023 97395\n21726 58440\n8307 33197\n11232 22241\n30286 47981\n93656 98015\n17298 69334\n64688 72291\n17436 32793\n7107 10094\n21911 53807\n8707 27228\n43645 88192\n47361 77691\n13868 89668\n16259 19835\n14121 92400\n14804 42319\n43389 46895\n16292 54556\n21827 27464\n27219 29883\n43552 46451\n14068 23204\n75200 84027\n26285 90472\n8988 51631\n45304 85224\n17430 93024\n39588 42637\n11940 48408\n23325 83172\n37827 73026\n35218 81216\n41795 48541\n52433 57706\n35828 85525\n30979 31915\n14015 46957\n34513 92460\n38808 44656\n15368 27530\n30770 78314\n10123 85014\n18289 85045\n36801 87188\n13366 83141\n31069 82114\n66996 89282\n19581 96732\n51291 67638\n11396 43173\n30380 34993\n45875 79936\n64792 78043\n20997 74067\n49627 66537\n29630 83211\n50504 72029\n30843 73452\n15944 36549\n34228 66216\n17468 30138\n44029 54129\n46676 89152\n35221 68171\n19157 45062\n46313 48785\n34213 97017\n71297 78034\n14117 81784\n15952 39796\n40090 83374\n47260 97355\n9705 29497\n3116 13004\n13566 18839\n26543 38342\n2329 94626\n43728 69524\n12565 36598\n66104 92859\n12271 12327\n37749 93820\n18134 30060\n9670 17799\n3651 8422\n19801 49495\n35030 79435\n55295 94174\n53062 75703\n48357 48918\n30208 57920\n39055 96333\n730 67995\n87305 98319\n20445 42819\n76642 92954\n11171 94925\n25492 31129\n3830 95991\n36846 56387\n5919 97544\n16408 33982\n11249 96016\n28165 84049\n11147 83135\n32414 57972\n7777 39001\n18773 53143\n2778 87334\n801 10781\n26188 43546\n29778 93787\n8122 57149\n42761 43065\n71156 94981\n9067 79396\n27774 61689\n15506 31123\n14867 45054\n32619 95209\n42796 56824\n1034 68396\n49845 83099\n63730 91147\n280 76914\n4274 15117\n26710 54503\n36982 73629\n71508 88324\n589 27844\n43570 54313\n33481 65876\n66587 70848\n10123 99228\n18054 87388\n21531 33735\n26289 68825\n16321 84232\n25345 67956\n7018 24055\n81151 86333\n1012 91879\n66622 96270\n27008 85401\n75372 86068\n6572 67185\n1415 63824\n1023 77475\n9135 51208\n55986 67636\n31136 50100\n75899 76234\n80610 96783\n62169 88094\n7005 55783\n55184 58933\n15900 41591\n861 67176\n33643 45390\n45923 46424\n23515 34978\n32113 83909\n30725 85455\n18881 78776\n78619 99313\n18358 27775\n72899 78344\n32734 33826\n427 24903\n13380 74816\n51486 73177\n11168 26858\n19709 32992\n54110 78888\n709 40258\n14711 54498\n56257 84996\n5510 25035\n9637 41785\n23199 60112\n37977 76828\n51337 90388\n87226 96621\n2601 33696\n22949 73080\n29201 58810\n71244 99995\n9515 82617\n8238 39091\n56764 75911\n44927 85538\n46025 93246\n7148 90329\n2267 97835\n38255 72811\n9697 85173\n17629 50492\n65207 87170\n20166 47434\n52299 82066\n22162 82722\n18443 52275\n7964 93667\n12354 83754\n13902 27801\n13737 81411\n81815 91219\n8868 61186\n58006 71213\n16236 69994\n93907 94862\n9988 79581\n28312 63745\n14748 49651\n54231 84604\n32894 64419\n52188 69364\n40535 40635\n33663 49893\n31210 85570\n39611 92685\n34685 70561\n32661 98888\n61451 66384\n69148 73111\n35396 74864\n24341 96109\n69606 82346\n76901 86575\n19766 54857\n30555 41610\n22448 37698\n39513 98101\n42950 48946\n6161 87231\n27766 47826\n9710 78939\n84609 93302\n22116 84487\n3062 75320\n23666 62005\n82981 89102\n2811 41128\n2321 45991\n9510 56443\n23379 71849\n69902 89018\n42144 51076\n71617 91582\n48234 64499\n60784 73934\n12826 28846\n29777 41492\n33590 90562\n17789 39416\n30491 49270\n13968 67817\n41693 75705\n43435 81116\n56261 77167\n8398 19567\n61665 93422\n78643 92979\n8730 37631\n40436 91283\n29525 98025\n20719 35250\n15382 56247\n59431 76515\n14675 18032\n61274 71821\n5052 69974\n3244 20739\n35408 38073\n15985 77003\n46430 71409\n30452 99740\n28075 89218\n9533 70206\n52043 71701\n13142 60957\n28543 51039\n29485 36823\n41096 98692\n12294 56224\n3308 82455\n35481 64287\n56072 64977\n29378 33407\n38248 77837\n9854 97080\n78091 89708\n15044 68972\n53691 83730\n30921 60135\n74211 95808\n96564 98733\n6942 11623\n6854 33242\n15969 16099\n33014 73999\n36423 39657\n39538 51193\n27753 75282\n48249 91320\n57577 74431\n29655 85503\n25087 35162\n9222 28194\n17533 57938\n41098 49405\n2837 89523\n10298 43274\n14933 16091\n19169 38684\n51393 90979\n54739 79529\n36034 87427\n89082 91327\n29907 41682\n17427 96484\n52852 60297\n34625 57111\n82202 88956\n49352 90034\n39294 95041\n17763 82174\n2829 97560\n20309 97830\n47447 68747\n20416 27776\n4611 78630\n9019 95363\n81312 87132\n6639 96440\n50877 73415\n4221 66553\n16158 84359\n4981 29401\n13115 17551\n11103 69744\n5938 80243\n52534 72683\n5621 42402\n52982 69688\n9414 80392\n941 83315\n48281 58159\n66754 68732\n46143 94951\n50815 60122\n331 17001\n4887 29637\n71185 76514\n46727 98076\n23838 81741\n2836 42329\n42306 52929\n5116 68428\n5022 8261\n2908 69285\n48065 76082\n25473 93699\n929 88490\n27014 97872\n70183 81059\n47837 61217\n10594 18371\n33807 67161\n14190 23604\n55641 74691\n5897 74381\n15828 48434\n36911 89517\n67608 72436\n12709 85316\n16499 88641\n45265 67176\n36484 66767\n23744 52045\n92289 96777\n46192 64951\n54793 72231\n37750 66401\n39585 76845\n3692 58333\n8121 28461\n29151 74223\n52668 81471\n18719 67482\n39201 57174\n5403 62690\n81800 94430\n28653 29845\n31145 40828\n15023 49217\n32238 81847\n10165 54232\n27779 35529\n2069 18843\n76091 89276\n14445 32289\n60016 79478\n37921 86335\n19425 61547\n11437 37695\n16773 89462\n31516 91772\n48697 69201\n78428 94587\n64836 80701\n36816 71619\n20724 27711\n45772 54203\n44879 74339\n39430 63739\n33128 43506\n30551 58414\n33528 84170\n49007 87753\n12173 84831\n21046 45647\n17821 61186\n45985 94434\n7637 47998\n7959 84844\n39100 74329\n53218 79622\n34684 49854\n58272 97794\n50831 80737\n28670 62218\n54070 88760\n35035 65554\n3211 49261\n53734 58130\n10321 43783\n40161 91428\n30281 87245\n9793 16797\n16522 50463\n13536 22161\n60806 84092\n50526 89457\n50155 68392\n2025 41532\n67823 69796\n63601 81882\n67023 85478\n25325 98439\n19205 42406\n9156 42562\n62862 67654\n3319 32958\n46161 49089\n11989 70591\n5381 33453\n20591 91794\n53963 79165\n7017 84167\n45054 49485\n67860 75759\n9207 11071\n68642 84002\n1104 51595\n43567 49964\n50288 97429\n32930 78056\n36062 47783\n31610 33983\n42937 49739\n37169 75611\n261 81325\n11172 61350\n16861 30667\n77177 92297\n69087 77382\n6992 48470\n36270 47320\n20162 51546\n6966 13043\n7071 34853\n16297 80531\n47086 92440\n41847 62212\n15082 83096\n5302 44845\n66616 84487\n17749 48031\n7260 16504\n76451 86158\n10689 98106\n6824 22167\n1727 74680\n819 51842\n11249 30108\n28164 56585\n35465 96475\n10617 35513\n16242 88519\n12223 38806\n14542 76562\n6599 15994\n70634 87305\n9755 14892\n20109 85749\n29314 87065\n71251 78407\n1462 1592\n13968 45649\n505 40267\n7216 86093\n20894 89679\n34586 75712\n4782 89651\n53689 85739\n25502 82786\n3375 66141\n14639 78319\n27719 72744\n59480 97317\n9337 66879\n16522 66648\n53055 89690\n32807 44066\n47834 95615\n60646 65810\n36820 41159\n20224 46618\n53026 98471\n85059 96624\n2140 40332\n70847 83582\n10081 13345\n52769 96879\n16211 31149\n23190 47209\n30298 54396\n54569 69914\n63205 92810\n74699 92004\n40605 42498\n84244 94779\n63463 83370\n24654 88917\n18884 97742\n80496 92110\n18518 47158\n9716 88820\n13777 52149\n4036 46073\n54625 84098\n45222 51872\n29220 48169\n92938 96390\n11887 39009\n36748 53128\n16668 67714\n10886 49656\n31768 40238\n31353 82968\n32192 63423\n77369 89145\n39484 92023\n77283 80162\n7215 74595\n8353 70791\n9443 54400\n18741 35160\n57172 58154\n3295 73849\n60528 96153\n19008 88733\n507 900\n61432 90102\n22301 38608\n5644 9943\n32880 74226\n11552 28004\n39243 90886\n34290 56747\n23812 77258\n62469 90213\n37874 67220\n74 11574\n20408 39655\n3355 82926\n24850 62298\n11806 73887\n28673 41083\n61622 93035\n516 43377\n18363 23923\n49767 77306\n37708 89834\n27148 76737\n47377 49836\n29329 46303\n1010 54154\n20885 45132\n43830 81569\n35891 74994\n89978 91181\n87062 98012\n68724 84939\n5404 47535\n53873 67698\n5173 27076\n31405 98730\n159 61443\n1948 35587\n93363 93508\n15186 24106\n34706 81086\n38347 63711\n15003 16718\n27490 75908\n20355 81670\n41075 95380\n2922 92727\n66124 95498\n3523 75324\n8076 82877\n24601 45433\n33898 57850\n30998 79319\n32257 95007\n9841 95736\n69988 82381\n16943 59132\n44344 47370\n3291 50391\n45193 75091\n72936 84677\n64030 82034\n38157 68207\n79083 96477\n78110 92752\n23768 61098\n42816 87974\n53704 56200\n23452 53499\n82965 88275\n47204 91954\n23845 85714\n14535 99666\n32125 84269\n47215 90145\n63033 70123\n16206 24230\n64542 70334\n63973 95552\n17304 26092\n11323 18464\n75314 97048\n69541 95147\n13397 33997\n45549 78486\n51321 97589\n77269 86139\n21252 80814\n36699 71188\n26197 56391\n3219 85965\n56548 90207\n85106 94844\n73941 84613\n9310 39991\n16482 79669\n49392 69218\n16205 76038\n29265 78312\n81657 85694\n16050 61342\n178 29222\n20255 84743\n44115 62343\n5949 27874\n40673 45160\n41995 78314\n37455 95687\n11920 62211\n30378 58761\n36243 98889\n38428 67950\n65067 97977\n3550 29463\n19354 24265\n60289 96888\n8849 11229\n36065 55240\n54967 58256\n11178 70019\n23091 76916\n23072 56107\n26688 79563\n87894 95396\n46549 94376\n70189 70886\n5471 89085\n8191 66641\n29511 82740\n29740 80254\n34031 46110\n6834 32030\n15720 73697\n7714 22764\n49979 85636\n58858 80383\n59877 70575\n14985 69976\n12106 49159\n14121 83797\n12916 89181\n18424 64715\n69937 81069\n46913 93453\n12052 29003\n8260 94761\n60243 68901\n8545 86859\n3317 48257\n51539 91218\n9150 25240\n3621 4356\n9976 30170\n72911 86557\n29972 66773\n9826 73183\n58196 83627\n58081 67241\n33943 45577\n46611 90257\n77597 80472\n71414 99279\n8316 15581\n21385 23931\n17964 23898\n8599 93375\n28941 50811\n65149 83620\n55537 77379\n81307 93483\n14525 70248\n16109 61569\n27738 70351\n33211 67081\n50283 56952\n57143 87580\n9237 32053\n24651 68065\n198 68619\n34451 35863\n40962 97668\n42680 68188\n2546 12280\n7790 75422\n6855 16971\n8584 14721\n9758 11343\n59121 66994\n28054 64649\n27633 44443\n17541 55229\n50281 69179\n76515 97695\n3033 20635\n19747 78559\n11900 49404\n60376 71112\n15613 74352\n53223 56907\n75818 82949\n18085 76803\n27863 95917\n3167 18368\n7923 64761\n13543 60881\n49187 93425\n6808 32675\n40666 83085\n46479 49468\n38806 85655\n73308 97463\n53320 97778\n3966 93196\n84349 95218\n11670 12588\n12138 36493\n10088 74761\n46348 76422\n1651 60580\n19936 61611\n23043 55632\n57066 69330\n193 993\n28751 29454\n61635 72407\n28900 70206\n12680 20902\n493 77690\n25414 74407\n52111 63357\n84515 90125\n1771 23225\n16852 54885\n32491 45319\n47346 75977\n18570 97159\n85425 94660\n47119 62021\n44797 70021\n773 2593\n69552 92077\n21834 67386\n70744 98583\n40715 80481\n49416 96871\n31619 90884\n28035 92800\n11352 98417\n14980 70441\n65212 91654\n18918 29230\n3493 12962\n12087 32063\n41906 67850\n41842 98156\n2224 78559\n40948 76403\n42704 73416\n54139 89011\n38818 97685\n14284 47738\n65496 76870\n448 72543\n24891 89337\n5610 40958\n37212 58027\n51873 98605\n78997 86667\n43106 75452\n43514 86241\n10545 82447\n9292 64587\n27560 71753\n58088 75228\n27921 77814\n65606 99606\n81980 91614\n10976 37981\n6378 37103\n30637 75887\n21398 25213\n18614 80872\n47641 64817\n3737 12005\n92105 94817\n27707 44940\n63778 69517\n38827 93020\n80074 82683\n51304 63935\n3475 23324\n41141 99611\n55067 64748\n25899 69759\n26230 37385\n803 2111\n13586 24436\n37647 43387\n11587 24150\n4689 6483\n42314 43375\n37780 42246\n9436 94521\n47080 69554\n35426 57592\n24464 93921\n13325 14270\n78202 98875\n225 14361\n41906 81406\n7576 18709\n16350 18385\n21758 73060\n28151 28639\n12145 33156\n9090 24207\n74927 82756\n72300 88893\n1216 12299\n12969 69378\n37175 51480\n80139 98583\n83453 95346\n6115 26555\n32350 82224\n9739 35146\n77859 91434\n21946 81485\n39532 97654\n62897 76513\n14086 92157\n10615 63592\n21992 74340\n56896 88335\n75868 80008\n59990 87792\n20420 60713\n7867 16197\n18932 83399\n42552 44680\n86008 88528\n1092 78257\n6032 47778\n57161 87032\n17728 39725\n12398 81965\n44154 87874\n13810 89740\n52517 82316\n31522 39735\n3849 81776\n55549 62825\n91030 91150\n12782 30646\n23566 68517\n47925 91607\n33341 49004\n12111 63023\n27524 52396\n9108 95352\n19687 25198\n26420 86429\n76339 95080\n85244 99657\n64839 93067\n83992 89032\n41852 49425\n91125 93338\n70228 72097\n13515 70606\n4083 82262\n55010 93294\n85964 90444\n6020 65617\n563 32980\n41364 46503\n348 49971\n5354 26852\n32207 94031\n8336 73726\n68684 90239\n66263 82116\n20809 99019\n92232 99968\n9893 94479\n55500 69634\n76846 94213\n2293 34353\n39607 76155\n6475 8064\n60362 63128\n45290 80097\n13112 16581\n16278 56569\n44990 77289\n44295 74842\n29108 62565\n21988 83936\n21126 27658\n12385 39125\n39537 91847\n10553 94390\n18430 59775\n6666 12694\n64657 80261\n43634 43733\n6973 37197\n637 42771\n12727 62155\n34370 91148\n3034 61466\n23334 32684\n4929 50486\n69923 71226\n51225 60560\n8564 66691\n13700 53601\n1137 76697\n13764 38505\n4216 80391\n31290 55271\n62807 80551\n78676 86027\n20669 95898\n47401 84544\n4136 55007\n31447 60007\n26699 72814\n37093 48276\n67749 82714\n17040 47460\n55079 92178\n64237 75787\n53822 88968\n32509 93176\n218 72502\n56108 59649\n72300 98365\n29039 56248\n8753 52480\n22559 66748\n18949 67360\n68575 86746\n53821 98650\n12188 67875\n16637 87726\n46310 88751\n78006 85677\n35659 63363\n23537 86897\n15349 44168\n90639 97365\n37932 80329\n17156 92841\n25806 70876\n46703 82871\n15110 33818\n56876 74026\n23284 81322\n50794 57409\n27448 87756\n21699 94145\n70399 77467\n16519 53730\n1236 98934\n21282 70379\n11975 63293\n66094 74112\n25357 89505\n16625 73228\n37470 69358\n15370 69900\n32929 48045\n56398 97125\n33379 48549\n35622 74379\n30905 59172\n8711 71957\n8553 40108\n5543 22168\n70589 86278\n5259 82954\n26308 91731\n30294 39820\n34059 85685\n16176 40456\n4091 70542\n21665 24159\n2156 74751\n19292 60863\n48133 71730\n35613 98789\n47421 62082\n54503 68336\n30380 57661\n85589 88060\n37269 64356\n4484 93720\n25513 96201\n47639 66766\n29859 97140\n72885 78939\n4333 94763\n11806 26157\n21940 46514\n47874 63510\n26285 29814\n72748 87023\n40966 42467\n72785 96731\n74003 75266\n3384 64180\n63142 97882\n29687 55680\n53894 88569\n47419 79763\n21033 37649\n15064 47793\n17420 89963\n23896 74509\n154 9263\n26984 53246\n19611 94183\n31438 39993\n20134 53522\n38705 74642\n6079 61161\n54353 97226\n39653 89244\n4635 33503\n23182 67872\n31293 70751\n40508 55035\n41655 68805\n30847 90563\n51128 57392\n13687 15802\n62506 78066\n1331 33648\n17109 43065\n29483 73480\n52149 68697\n13305 32322\n25114 52122\n40549 59501\n40881 63893\n87533 91984\n12277 66862\n33956 53594\n25323 85191\n80847 81905\n597 25330\n49960 69277\n9875 88275\n90129 91548\n16896 93622\n9920 12741\n23811 43401\n40973 67404\n24165 51606\n15017 69178\n49840 99727\n19320 21242\n43989 46869\n54459 82688\n7744 13815\n9873 72226\n50946 58410\n5231 83138\n42867 51752\n33152 78152\n542 9021\n18676 99485\n12426 36121\n11148 67827\n54671 82681\n32446 81357\n46742 89393\n55604 75800\n34369 55880\n42625 97502\n32387 95607\n2776 22863\n40134 94334\n48425 98642\n17569 75340\n38777 39688\n79877 81986\n2147 93440\n52772 75153\n37549 47918\n28538 56020\n4475 17882\n68490 99539\n23585 91441\n20882 41350\n28444 65707\n6155 91515\n80216 93941\n58083 63521\n30667 51462\n23464 60840\n171 34035\n23596 27855\n56737 82262\n18766 48688\n3043 91388\n53479 71967\n87860 96200\n40818 99510\n17862 21181\n3400 89532\n16973 45486\n17904 59621\n55557 81162\n30549 45828\n62049 78072\n75270 83107\n71389 79817\n38927 81444\n4399 80933\n14923 75573\n55629 64248\n78967 90160\n34750 76807\n32454 82886\n4474 62831\n8918 56973\n67320 84036\n4454 28113\n75382 83751\n28358 55871\n69092 80122\n2780 48748\n35728 76803\n21540 42461\n22728 29969\n48175 51873\n66211 78498\n19519 43286\n35985 99981\n38094 75455\n15963 50993\n8712 22843\n22133 62076\n82892 85098\n40850 59167\n55077 78721\n46222 47673\n65824 83234\n3425 42117\n6342 61672\n14815 96929\n29729 37821\n17323 31772\n1344 25020\n62280 73287\n14396 43492\n6731 99586\n51102 86006\n44147 79281\n17708 24358\n24194 36779\n8447 88550\n3600 14674\n46634 96575\n9956 94916\n49103 85407\n52046 78105\n12592 34682\n38828 92038\n28942 88160\n21147 84452\n24232 47659\n81916 91099\n48397 56564\n16393 72888\n71473 94246\n39450 99791\n38298 55874\n13943 60716\n70347 89127\n47345 50497\n45276 80571\n13710 86259\n31848 83604\n5815 97853\n5062 6529\n30001 59139\n80734 98305\n29755 51647\n1277 59179\n17001 92812\n44267 44360\n12826 47205\n36975 92855\n51098 54535\n17952 85676\n23909 69742\n44683 85427\n82027 89087\n75971 91640\n8018 27408\n90855 99725\n56346 66808\n19849 82449\n52188 69118\n55146 93600\n28175 61664\n23228 51835\n47463 81122\n9417 26819\n42828 49819\n37655 93221\n23918 52341\n72058 89359\n1908 32491\n28301 32254\n28290 56092\n77007 98293\n76406 80232\n77709 96529\n40048 97650\n42341 54751\n57771 82444\n27070 46019\n32718 72423\n18487 50720\n17382 60798\n63590 64454\n46168 88568\n11592 36193\n45251 47595\n68574 72988\n5948 82952\n18986 24626\n45261 99373\n27958 65240\n888 28571\n44277 87938\n62013 98119\n54964 58339\n37331 52240\n10581 77636\n6705 92971\n60921 82028\n53728 75137\n46864 84586\n13003 95494\n43335 52637\n15061 72884\n43075 57658\n18263 40106\n46733 74264\n16317 21334\n5299 70075\n19547 21513\n35014 44676\n60508 89900\n6888 92760\n85478 90173\n9568 60376\n6183 36708\n58329 66669\n73914 91848\n41602 65641\n53778 88410\n8776 8883\n56038 58547\n6331 18321\n39057 60531\n77293 87319\n44446 80203\n26698 94744\n12511 77938\n26421 68941\n13144 68345\n34131 46587\n41051 51206\n59999 61741\n29195 33015\n17267 97989\n90587 93952\n23950 78109\n6268 23063\n4733 59805\n10024 83813\n20597 45207\n5765 75609\n9305 35522\n16735 80732\n23608 82669\n12503 96260\n24800 57193\n33392 60849\n36892 85551\n22199 71646\n37612 43505\n37307 57663\n28186 70359\n5382 8675\n50293 62280\n10583 28298\n5658 29583\n22612 61098\n44789 58757\n18372 90294\n17592 55751\n55604 94907\n3223 91505\n807 3518\n21056 31645\n67731 92389\n79226 81395\n20780 64720\n51225 67544\n31998 60825\n41849 87563\n30207 40610\n14720 31432\n19206 91729\n18214 57434\n27597 56727\n43473 45286\n40429 97754\n31884 96957\n75713 86395\n28302 78679\n17678 81622\n60917 75956\n32250 38357\n11433 53047\n61109 75469\n6173 80182\n71160 87578\n25468 75377\n34579 64184\n43286 80210\n63329 66657\n5866 32761\n19371 49351\n20199 20824\n54330 67269\n9705 9764\n13371 64995\n2844 91088\n73753 81757\n9176 96926\n6118 66980\n72069 93205\n24169 55957\n62557 79268\n61079 69902\n82100 94145\n48373 59947\n21590 22578\n44751 91541\n40020 98879\n70496 94919\n27972 93037\n16125 28043\n13001 20473\n25128 35520\n3475 74260\n6998 51285\n24391 38612\n7456 92142\n75792 91330\n74871 76901\n18752 68447\n65689 72104\n24538 71737\n13071 26969\n47413 57624\n80960 97436\n22615 52094\n60246 62259\n23014 68045\n17933 19699\n8769 55182\n11306 86453\n26444 65151\n70554 70779\n39293 99693\n41220 62402\n7441 24821\n56013 64730\n74571 89427\n22736 46393\n11852 45867\n68442 92587\n17099 30834\n26349 34496\n11172 95819\n27197 32763\n40340 73044\n12089 47943\n64738 74829\n91181 93350\n18028 33220\n8525 46595\n50138 77635\n74479 85971\n50423 57205\n81803 86341\n46626 59183\n1514 34194\n57806 62329\n8845 32458\n18920 93299\n397 73156\n76468 79065\n22026 98355\n24315 45211\n23194 24786\n26223 32289\n52214 97346\n8257 17939\n23084 38900\n65474 71368\n20596 70435\n7237 65517\n43013 75793\n59763 73329\n79065 82608\n25250 97395\n29040 59326\n82242 98694\n13670 62782\n12059 25205\n5912 7488\n73695 99464\n55744 89654\n7874 77068\n81214 87435\n37560 97986\n26569 31611\n16745 53394\n62462 73699\n10757 16040\n24786 89767\n6611 51629\n39393 54600\n19085 92974\n64541 86989\n866 59902\n64541 78902\n37163 94191\n29557 86619\n45579 76697\n9594 17102\n15320 75178\n32771 93409\n69609 77499\n41504 43938\n31818 96342\n20133 26007\n44194 50214\n33074 48731\n87223 97895\n40633 90603\n62665 82462\n68432 98193\n8135 41220\n14705 87322\n13159 95774\n15027 86175\n5193 69652\n80924 84915\n8132 70433\n63207 83850\n42698 56931\n17986 84150\n20598 85954\n38451 53039\n1360 93335\n86225 87776\n87248 91857\n74256 87517\n71973 85930\n18579 40607\n9433 34899\n2640 58403\n62268 70740\n41793 58274\n17004 93114\n44673 70579\n11253 50307\n29454 90382\n48065 79258\n155 2690\n53338 81470\n14854 67424\n78099 86897\n11454 69779\n51594 85083\n22698 96367\n68132 88849\n48170 94564\n56155 63540\n32921 36623\n27688 81089\n24139 34766\n52018 88264\n7198 10008\n85932 95024\n22166 66495\n39385 96054\n15146 98255\n47823 69325\n58045 62462\n6138 32876\n15497 30136\n50466 93845\n52456 60287\n38050 46637\n56469 61775\n24583 99454\n8773 50366\n22079 38778\n78859 82748\n41960 76963\n34527 53905\n10826 34908\n76357 95842\n37126 65248\n18773 71255\n5758 18913\n32056 52888\n46747 48625\n37812 49181\n49789 95475\n12132 97815\n67622 91294\n70086 86498\n52024 88336\n34086 39256\n11928 93377\n13773 70494\n47355 54434\n52095 72467\n45929 71459\n31773 96707\n25056 45383\n58205 78652\n58598 88928\n44072 95323\n15790 91917\n11349 80652\n20742 40592\n18371 34014\n71746 82148\n13217 97836\n10799 86501\n29409 50906\n27268 57215\n5359 80972\n29637 66657\n36518 75803\n86664 95298\n10805 21499\n36181 79238\n60899 83398\n1906 68036\n4876 70878\n22724 64973\n51857 63472\n39492 87919\n3633 36777\n27536 96750\n35315 72961\n499 57545\n32767 50039\n54937 68309\n1226 50150\n64876 99771\n36377 83463\n115 46215\n42273 87706\n15289 98780\n11008 81582\n9420 90738\n5044 39109\n30803 75930\n20769 75167\n12771 71393\n75103 85044\n71126 79306\n21234 63715\n9729 60835\n27788 89345\n57088 64858\n12250 97637\n18966 46130\n68471 73602\n47809 59348\n71139 96772\n3540 86897\n24550 64106\n56138 64394\n21232 35656\n55286 94341\n85107 99670\n7960 40145\n11983 63881\n49778 68698\n393 61374\n40275 59919\n47301 58624\n95864 97320\n54969 94048\n6766 81605\n34577 78046\n38878 42719\n49077 94153\n25607 31574\n33365 58508\n10285 70428\n73633 84615\n29663 94176\n24237 50989\n26877 88523\n32357 98611\n29920 44958\n10223 66559\n16005 73861\n60578 72730\n31343 62759\n27499 88324\n57737 89510\n56872 94061\n7270 34992\n29534 40940\n70139 80179\n42084 55361\n63824 90902\n10118 31690\n5927 21144\n19719 74254\n10666 50433\n47699 87062\n5935 56812\n49265 55884\n59992 89603\n26069 93983\n60594 75562\n26016 98796\n55374 92441\n17009 70336\n47978 93473\n2764 63847\n1187 46815\n67616 85246\n4985 61839\n29347 79290\n35502 41988\n10517 36825\n12043 97382\n29926 34456\n7016 79206\n29806 49216\n25299 92912\n24911 68300\n30149 46780\n59640 77503\n288 98193\n9478 42180\n72511 75292\n72126 80387\n56547 73610\n4002 83722\n30922 71190\n24041 26178\n37035 87705\n84037 93246\n24271 90320\n17179 94573\n12732 90902\n73268 85298\n51330 94157\n3068 78911\n27615 73757\n28414 61225\n21772 36830\n17348 62389\n14117 88416\n1927 39040\n33576 90609\n25140 71737\n23251 92807\n18891 52492\n76 25183\n32257 64379\n36234 51024\n81513 97949\n11052 97589\n43349 76616\n32654 57520\n18332 29619\n8452 55147\n21848 38297\n4855 67668\n1044 50741\n57232 73412\n7276 86587\n40262 51146\n3491 59939\n38133 94319\n70200 88262\n37516 63478\n38698 58541\n52040 88291\n50823 79996\n11588 25050\n95301 99101\n54947 86020\n19852 66234\n19908 96760\n15088 63307\n70807 79065\n34665 89765\n36605 88329\n33000 55527\n5123 61127\n20481 91482\n29844 50169\n41560 69402\n20679 46912\n25420 29464\n23924 92502\n5631 30580\n48801 53360\n48939 61240\n24652 40100\n15466 78189\n21792 51494\n71416 86055\n79272 80078\n472 39520\n10459 23290\n30097 67093\n50839 51656\n97536 98658\n27665 42383\n33832 57768\n67109 88379\n51757 73285\n60545 82395\n26225 38877\n70370 85117\n61050 91810\n8356 45197\n35833 82529\n18673 34451\n8185 64494\n35860 57552\n15857 21073\n56361 77648\n30525 31408\n4921 96852\n65862 95574\n11149 65167\n57229 70715\n12166 90129\n82288 97145\n21996 77572\n57200 62745\n16109 94419\n66654 68022\n1252 30431\n1375 68475\n14214 59061\n50436 56281\n41767 62553\n31752 53440\n77805 99016\n40281 67352\n23002 59237\n4987 28549\n28028 85247\n11237 32143\n29833 42855\n9720 24421\n13225 87766\n3055 84375\n12333 91401\n38223 61979\n13609 58139\n26541 87524\n13775 15222\n61490 71921\n18368 50020\n18177 72280\n56600 73557\n31509 52232\n62269 92765\n18592 61379\n66797 70529\n8181 67989\n28094 72721\n40039 65089\n27378 56106\n804 66779\n61214 91180\n3553 10400\n32330 47239\n4900 77034\n50764 58017\n6999 10330\n74718 79392\n60264 81037\n57978 97693\n961 17706\n9486 87650\n29468 45492\n46131 65059\n9722 93937\n4704 37842\n5380 62287\n21571 55836\n19916 58974\n59208 74107\n534 37561\n75394 90691\n16364 71644\n26911 30301\n41536 52328\n62548 65468\n3130 45344\n57751 69518\n98529 99583\n86341 94276\n54886 76067\n7335 64391\n27573 44247\n26954 49002\n29118 49247\n25772 74563\n27715 96259\n10805 91135\n6093 34892\n24626 63204\n31413 96503\n83652 93911\n66370 80393\n4808 18432\n9847 64167\n15278 51211\n43370 84004\n80736 84484\n54799 95057\n54461 72768\n21254 92630\n11813 88841\n15652 34872\n4301 40151\n11600 22970\n8150 51755\n34570 99750\n39977 82655\n26935 59322\n13502 37995\n11116 37246\n3168 88600\n14960 67956\n16941 57007\n26559 81041\n5258 19777\n4987 15428\n6005 24339\n77785 78606\n20854 62698\n38949 57809\n17380 93489\n50165 83908\n47083 69969\n43847 84692\n32023 66826\n22348 97962\n24639 69636\n25639 50859\n62774 73791\n18256 82251\n19805 21078\n19622 59969\n44970 81034\n43219 62146\n30482 81283\n13101 38574\n52128 86911\n17924 33547\n73577 78927\n34164 73452\n43444 57366\n6562 76161\n30906 71204\n12844 42031\n246 46569\n18238 99727\n33835 34995\n10001 46111\n19749 99709\n47991 86600\n24318 34719\n20915 75417\n18912 43815\n16750 94495\n24903 46710\n53265 55867\n40136 44878\n67531 93800\n21859 59334\n12633 29839\n23671 28298\n6073 67869\n72058 86311\n22619 99132\n20314 55904\n40985 42905\n15595 56772\n41638 58534\n1112 16491\n25350 27326\n31987 89273\n1239 26504\n51331 57095\n21293 58628\n24800 82587\n30761 85622\n64390 77217\n54815 83795\n57658 91909\n4100 51315\n17572 67411\n36395 64105\n52200 79414\n63557 87315\n47823 71382\n56786 57306\n60563 60930\n9730 40479\n50817 93082\n16285 19144\n11940 18351\n31942 78196\n61184 63377\n6198 77559\n66112 91954\n73899 99384\n42061 85277\n4178 33276\n6572 52502\n46439 49502\n59813 73552\n9187 32490\n42008 56691\n67138 95634\n47678 55142\n25607 81537\n46019 71589\n35829 58478\n34336 81009\n27356 46134\n56617 83786\n12125 21881\n3716 48462\n24878 29926\n173 12121\n31461 76549\n550 66697\n23869 63436\n17182 89375\n48755 79987\n5860 34332\n677 36676\n35140 37914\n3033 39483\n39047 89066\n44103 79690\n35672 61911\n18521 82004\n42758 93019\n88328 90191\n64845 68546\n13179 64745\n76659 77318\n84944 91157\n50416 69459\n19391 58760\n79795 81321\n33227 64407\n13562 61300\n25346 42992\n19617 76280\n16793 56802\n26242 96940\n59681 63852\n26103 95026\n53713 57659\n35613 93563\n96 39408\n70667 89866\n35575 93205\n34869 51675\n30186 67598\n498 94534\n64669 90940\n32907 85266\n20247 60191\n73864 96701\n12062 16023\n29055 57460\n25368 91785\n2791 46420\n50075 69948\n18184 50282\n17274 44063\n51669 77834\n34238 73635\n16824 37685\n25114 86905\n2235 54654\n1269 31154\n15772 78026\n22913 24159\n18641 19626\n77519 81644\n6426 18660\n63277 87700\n33073 91834\n46459 94137\n18259 68240\n24070 96407\n12822 92407\n14642 29626\n72379 73959\n49403 59112\n27113 40917\n61172 69750\n63223 89600\n64408 84168\n34015 87319\n68419 85189\n5523 39943\n49270 83911\n45876 69518\n24350 81755\n42696 55281\n31935 60993\n33485 46750\n26115 68936\n79035 80799\n73332 84600\n27610 72463\n37199 88184\n8824 12521\n30573 52792\n30839 82439\n14038 25204\n3761 94630\n52753 82700\n70632 90491\n8786 58022\n72034 86681\n40724 63209\n37650 39468\n21535 63631\n1312 66496\n20106 80983\n397 23828\n56366 88575\n26217 89090\n24470 66704\n32097 60099\n820 98369\n42534 67612\n10397 11956\n30766 44203\n3226 94463\n23113 57337\n35795 78311\n30020 57656\n24122 40646\n3919 47249\n24427 87602\n52505 95928\n24738 88704\n68114 69061\n2025 38029\n48518 58895\n33809 95411\n54685 85372\n8433 87960\n57381 73245\n53633 84679\n79957 86232\n45502 77874\n30986 66085\n12134 75992\n77463 77941\n38134 42467\n55216 92791\n40728 50487\n13986 77979\n128 30768\n20873 42973\n69617 73516\n62586 82382\n66969 69402\n10467 60533\n38273 74899\n24049 99575\n37596 62140\n40046 66734\n40485 58440\n747 50970\n30620 46966\n49170 89292\n22289 47813\n22862 30733\n5255 88263\n9484 35336\n57424 68932\n29429 68656\n4321 90723\n43343 86632\n50303 55858\n22265 39291\n77818 82947\n17556 23376\n39087 89871\n49603 98019\n70438 88406\n59528 97818\n29154 54006\n47509 58667\n11514 93105\n90558 90758\n28531 56278\n56743 95028\n7069 20915\n26697 66313\n2143 3333\n67503 85575\n54641 82342\n31213 70510\n15361 93878\n60094 63335\n19026 77616\n72338 75977\n14559 26946\n40662 93277\n5774 42287\n97275 99403\n33462 78964\n2323 48488\n19359 36908\n91184 94018\n35967 48213\n14244 57753\n23794 76022\n29999 92140\n64187 74572\n21957 80554\n10977 81761\n50769 71993\n43952 62441\n15305 99284\n48914 85544\n90688 92003\n53221 92597\n20782 38269\n33363 96422\n10187 12029\n49552 94562\n28689 79932\n20361 58560\n80886 89665\n45522 95407\n15165 96889\n13179 88076\n38811 80668\n57959 79472\n42990 96051\n70380 95029\n19299 48778\n60252 66896\n61762 75229\n32456 82386\n44122 67808\n35665 43625\n42019 44875\n40041 65980\n39082 81083\n24553 70894\n54302 79632\n7214 42799\n63635 78304\n50643 52236\n51704 53867\n3517 10616\n47235 70226\n10167 96846\n36505 49395\n8691 21051\n3052 37672\n3311 57704\n23837 29385\n5224 90501\n26445 38648\n9651 19579\n50064 57941\n3154 31418\n33520 97519\n8001 12036\n977 85364\n21999 41134\n37446 47076\n76380 96618\n39032 48573\n6751 29316\n30184 48879\n51685 57110\n13188 78782\n12814 72406\n26599 41639\n53134 78728\n55648 81094\n41267 75928\n12726 36453\n47289 99855\n46636 69711\n20554 98752\n15755 57279\n1792 37228\n57667 60239\n51398 90856\n13660 44165\n72735 93070\n12968 51584\n41939 47922\n36739 76246\n59998 75467\n30050 76171\n469 10005\n4220 43769\n89823 93762\n21197 49534\n11197 16469\n26130 26732\n9840 51985\n23738 35335\n76448 91621\n3094 85508\n51178 96838\n14859 22168\n3278 32300\n46288 76281\n8200 67464\n27756 74042\n78693 85696\n15224 37128\n53350 77457\n57170 99404\n10369 56116\n1814 55794\n33863 49545\n52770 95610\n4792 86999\n11068 30279\n17197 36861\n14978 62228\n29242 96028\n15045 30166\n17806 84949\n4872 31607\n4570 80399\n88976 95996\n10825 78535\n58828 67688\n40071 91577\n33658 90683\n10750 21347\n56621 73283\n26086 29493\n33323 99542\n3029 3679\n45482 83264\n6053 52583\n23235 26942\n7464 14530\n6948 38890\n35433 93429\n55665 68226\n20522 81390\n57268 82108\n12227 26686\n56848 73087\n1609 47192\n6415 78402\n63930 77849\n43712 75056\n19767 73735\n26088 72279\n50547 79586\n59495 95717\n95562 96318\n19164 52162\n76218 97407\n41114 53100\n48320 81326\n63848 80992\n12302 74770\n34725 49562\n25457 46786\n18521 79904\n9045 23144\n82633 89491\n23945 93309\n96179 99723\n19618 94372\n55319 82399\n39695 43963\n36306 77403\n28206 87768\n22935 45008\n37109 95420\n24131 46104\n4884 12591\n71335 72062\n31943 81125\n33917 36222\n50938 88913\n16369 46456\n86182 89001\n5959 13948\n90172 90832\n49028 65224\n10828 12571\n30602 44733\n50432 78470\n28310 73706\n31532 88752\n50151 65360\n38666 46936\n19701 77377\n4625 17510\n48895 79262\n7049 10899\n21617 79829\n38500 89665\n18645 77849\n69333 95977\n33575 54020\n85236 94249\n67552 79321\n31389 38685\n11715 28160\n4206 54787\n46500 56446\n65244 96157\n17653 26663\n57370 92208\n52224 53248\n21766 66799\n7255 28112\n39066 47567\n48467 97317\n56431 58096\n6888 20792\n25294 97039\n13156 28465\n3975 75936\n31344 99355\n8721 60713\n59681 79519\n22295 98203\n5515 87624\n30978 85685\n71309 82249\n18262 64366\n42878 61054\n77405 89172\n82990 87522\n26730 61626\n58731 85856\n11423 21404\n10294 29574\n62735 90395\n69809 95893\n77832 88155\n43477 84096\n39520 61253\n456 32078\n39224 65118\n11655 21319\n47755 75735\n56332 67775\n5548 34779\n51489 63744\n36694 62585\n39874 60265\n15100 37733\n20033 26442\n5663 45946\n83464 87215\n53178 80938\n38942 73983\n65246 94375\n72486 95448\n15382 44667\n4015 57143\n6090 81376\n7038 61865\n16949 92864\n95513 98478\n19395 47449\n3689 79028\n3580 65099\n65789 71918\n32570 95991\n7366 48634\n33247 84508\n3908 91375\n38804 56332\n27627 39816\n58319 72492\n48263 52541\n20701 95892\n24406 44189\n13561 32194\n22602 98997\n69949 97833\n34606 36573\n31597 35001\n13117 73112\n8118 53980\n44767 92997\n20152 25265\n53877 61954\n34216 52380\n63878 89866\n17627 89230\n39453 67383\n47462 54792\n51890 67930\n50125 80731\n71559 73935\n78571 86529\n56115 69985\n24137 32959\n65914 86945\n9424 10316\n30278 99637\n142 40063\n58956 74979\n29223 46688\n46299 77345\n19958 35053\n17772 93058\n8752 81227\n9893 56228\n59376 82147\n31729 95395\n58471 70034\n9386 76533\n17080 28947\n31687 61905\n53936 76082\n125 64384\n71080 76091\n29160 78680\n24393 27383\n49027 84260\n10465 93329\n9425 47205\n16163 65931\n93615 98457\n28380 83860\n69226 72026\n71019 82912\n8688 75351\n77053 86230\n452 89002\n15969 38739\n8179 86562\n30541 86356\n59307 65347\n5947 77859\n28452 81865\n19199 66190\n24886 38089\n72394 96740\n21896 24536\n44453 71138\n52565 64881\n67590 74162\n5548 69738\n28290 69884\n13063 26598\n7119 35735\n20265 82558\n4348 95868\n60361 78105\n32109 92949\n16969 27508\n16070 73395\n15052 46170\n5164 74727\n31888 92010\n42182 57660\n6720 9132\n6075 86749\n17650 27119\n36206 86379\n29776 40841\n3788 62478\n62894 84525\n56807 58818\n98111 98689\n53737 78883\n90037 97013\n47866 80630\n125 87977\n44451 50840\n52810 61224\n35110 64651\n12261 12566\n19660 55925\n18663 24230\n27663 76778\n18543 60705\n24777 58777\n30285 33009\n2309 75153\n40170 64820\n32082 83893\n17383 74029\n58820 63534\n36540 60999\n23509 52687\n27068 57099\n64525 70456\n53461 69554\n691 27995\n20372 67621\n11632 95666\n67843 81991\n81231 93439\n40326 55325\n8428 32868\n48329 49525\n11939 35601\n24413 82316\n72130 88571\n31082 34884\n10078 92674\n54126 95219\n31176 95889\n59677 85519\n29156 38049\n4362 31981\n270 65925\n69652 97948\n16954 73907\n66310 80038\n51675 69050\n42185 69674\n18343 37251\n63753 74702\n2195 12172\n51402 99375\n31562 61438\n75452 91075\n10479 59145\n4633 87854\n35198 73257\n45756 57499\n26430 59640\n2301 20080\n23279 42528\n20322 75667\n83912 99739\n5246 75731\n5744 89757\n50916 91422\n39259 47814\n3620 26406\n12234 66615\n76829 99287\n6553 67511\n7491 32162\n49216 51525\n54041 77445\n69159 79529\n10534 65478\n32426 75780\n4216 44590\n45057 62382\n27750 82982\n6162 74425\n25927 52132\n12944 60764\n55598 64674\n50712 59202\n30163 50307\n3901 61606\n41053 49209\n10203 27622\n14676 25503\n6021 95969\n31266 32253\n38863 71024\n49115 59833\n54149 75273\n18591 59004\n69742 83157\n91612 99780\n10387 88850\n7993 99821\n16009 32620\n55957 97147\n9093 65745\n42051 67806\n21050 56031\n29614 52219\n15816 18168\n38948 77465\n26523 35846\n21108 47764\n19097 31401\n51367 82386\n14866 33589\n46866 94779\n7387 16473\n15308 60933\n3897 14962\n45376 67076\n51790 91210\n52097 56260\n45112 88432\n36933 69857\n50054 59274\n43759 61632\n85638 85954\n57420 69361\n79152 99536\n4738 37161\n60092 85303\n60559 68710\n14872 23460\n16394 30369\n37127 37872\n10710 23457\n22125 59161\n27242 62055\n14738 16715\n31442 85880\n36605 63202\n12858 92038\n4295 35241\n51701 77702\n78114 87531\n15123 23060\n71638 80354\n18569 79337\n32783 75145\n30007 73921\n52359 62034\n59891 90170\n8233 91200\n6786 83156\n8123 35256\n19946 61643\n62454 88733\n6865 39221\n25474 62010\n63899 77871\n14384 72851\n51567 95762\n27783 47823\n39062 42931\n12050 30871\n50406 82175\n49924 72383\n44002 84321\n19253 62229\n30764 86016\n56763 73054\n3533 12238\n38370 81541\n32316 40065\n9457 77026\n22838 99845\n3483 61400\n41757 71253\n7094 11667\n19162 61308\n27535 89900\n86266 87175\n17448 49194\n12701 32316\n44780 96703\n66398 98069\n31979 83271\n82109 87411\n17900 38980\n20052 50632\n42421 69629\n81163 98093\n3274 82116\n56251 78881\n29915 54261\n6779 92538\n51734 93561\n27120 91946\n787 79282\n2628 63562\n27485 54399\n36518 78536\n20147 69908\n56080 90527\n85731 91730\n47779 91575\n9820 62285\n10936 34811\n28747 44869\n32039 49247\n29677 54024\n24500 87080\n16311 72993\n36547 88526\n17579 64807\n1867 3527\n43207 54094\n43052 68362\n32689 97476\n54504 89942\n29612 39854\n12414 47999\n30085 98538\n11082 19672\n54351 86105\n28089 55419\n56347 70880\n5075 64597\n49638 49836\n13852 21936\n25457 69933\n43587 59354\n9401 85358\n35839 59495\n17103 43375\n48742 91413\n12589 58699\n3 65980\n64570 77826\n66978 77548\n43737 57329\n65920 74442\n89753 91709\n9070 95227\n15487 36983\n10241 49931\n13283 34322\n36054 47615\n43584 92050\n42340 52875\n89276 96237\n64785 74308\n72895 93758\n15710 20476\n25814 73400\n11967 64984\n3812 97433\n57815 88875\n2490 81385\n39333 71741\n30015 65522\n74351 97443\n59650 66068\n45783 58593\n65286 82896\n51584 90856\n30568 86470\n7810 29738\n25896 87978\n956 63131\n61292 77991\n27066 47122\n45645 60239\n58527 60100\n18461 78949\n7225 38754\n17660 71748\n52546 67041\n36237 70544\n29640 70029\n23087 83664\n47890 83482\n42052 92142\n23172 65089\n65065 95281\n42173 86515\n49778 56208\n23676 57240\n29151 75956\n23842 83707\n23884 72368\n41625 50866\n65825 70468\n33998 54374\n27068 85391\n9263 65010\n14233 70172\n30942 51612\n9477 70126\n7259 51263\n29425 85500\n43229 47924\n55928 86532\n6640 26506\n62960 73944\n2096 41597\n68128 70303\n45359 57463\n89413 92355\n8930 39017\n12014 57656\n58641 66416\n30970 47348\n35349 72346\n18720 22395\n30044 97935\n65806 93990\n57227 62885\n86153 86264\n54687 74691\n86019 87326\n49734 50292\n8581 59448\n52684 54208\n41991 62973\n31744 90149\n5591 51557\n52615 82471\n24362 62905\n52549 66849\n46885 93421\n73813 85869\n6045 55218\n65492 76551\n470 56510\n14234 62291\n24291 93506\n79059 96363\n18593 62170\n30467 62880\n11235 75698\n2155 5315\n33581 74141\n3885 93322\n17361 39297\n14327 54082\n9009 42824\n14076 69072\n4706 7647\n7838 64100\n32303 62049\n68165 83495\n17741 27275\n31139 90289\n36930 78731\n15630 29754\n30594 99043\n66751 84106\n10079 76997\n65439 71598\n4783 83665\n72415 97765\n8655 37412\n47411 58783\n59043 61290\n11841 40199\n12436 90607\n61209 64904\n12536 68728\n89471 95037\n42466 99900\n11122 65692\n57089 90919\n60213 99166\n9545 25846\n21963 29236\n93108 98876\n3653 96279\n49911 55855\n33361 95582\n63315 94827\n47054 75323\n7690 81372\n69742 91973\n5567 35447\n17182 63111\n20413 34004\n56617 76140\n4340 95765\n11301 11303\n37979 40954\n2735 2811\n20255 49224\n31372 99585\n61156 64205\n56425 90366\n12679 32566\n36580 98064\n22674 35605\n9896 97560\n7309 18505\n62325 76800\n14775 96425\n63496 67149\n21074 60619\n24017 50547\n16230 20759\n59529 80516\n27425 55438\n21931 76254\n75526 76619\n2107 42916\n9256 50195\n43078 76870\n19711 40852\n29140 84834\n83371 84223\n32503 66365\n39030 70615\n43018 86702\n7340 31699\n19504 72483\n70058 74291\n42491 78920\n42655 47705\n42182 62279\n1155 13416\n56153 71964\n3934 71669\n8161 63072\n47497 63104\n7290 74858\n16648 21715\n23358 28249\n5187 32823\n15545 52456\n14513 62626\n28794 69513\n2624 3166\n7016 34769\n16002 76671\n4594 69525\n12789 54747\n2960 66460\n45698 51595\n33308 49070\n94992 95311\n29200 38095\n21840 86880\n72643 92265\n30426 30471\n19324 36475\n30444 49201\n788 41790\n5207 11727\n25446 48605\n40476 58950\n48715 81966\n36931 66014\n26129 54705\n50567 65602\n34700 49491\n2275 82099\n7890 88049\n12831 74673\n6475 12405\n42677 88788\n4516 22984\n18468 87614\n36013 39336\n51542 75595\n40254 65529\n26705 43848\n53614 89280\n19395 47978\n81138 85330\n20199 22725\n64895 91072\n46169 53376\n68359 74625\n34139 83884\n42818 94597\n64202 94550\n26343 83130\n67006 70603\n32579 83831\n13006 43036\n15194 72234\n29495 37832\n38408 64684\n32919 56585\n884 97943\n62262 99485\n1726 44346\n32296 48736\n43347 45162\n12994 25438\n63644 73607\n1140 77775\n2138 72494\n72243 83347\n2204 18105\n17943 65165\n1000 12167\n2191 49651\n33870 48490\n44480 96621\n15641 86761\n59961 76211\n43318 90502\n38761 72993\n39721 60483\n8487 70867\n24211 81989\n40959 75276\n57139 81603\n1811 58223\n14526 68317\n41586 81653\n37482 58776\n19882 32971\n82814 93280\n49146 61053\n42258 87192\n44646 51838\n56796 95428\n1410 72041\n60816 65624\n33737 51230\n37503 80795\n11465 59814\n63144 96965\n55706 82679\n3455 29383\n21062 98223\n15443 68918\n11676 22142\n56332 86520\n34863 59602\n34225 98997\n5699 29318\n48371 59078\n5914 67650\n60656 76354\n38976 77940\n69393 81481\n664 70278\n20388 69313\n8778 70926\n40839 55147\n24245 49435\n3197 39967\n74532 79926\n33746 66574\n42118 89515\n10468 99660\n6097 77389\n30735 38457\n29671 53258\n60881 66922\n20998 99203\n41841 54470\n416 43665\n30390 66584\n22742 54040\n51640 96069\n57536 71210\n13603 34373\n14922 81458\n18939 66638\n48585 71718\n23735 41452\n20461 24700\n7176 26356\n77733 85310\n7689 21528\n2984 69732\n11719 37478\n15895 16274\n75299 99219\n37527 54162\n18194 63110\n13238 17057\n21959 32244\n14210 34164\n12640 78206\n41914 67138\n37538 50247\n13650 82903\n54014 67539\n23719 84592\n41634 70701\n65888 96810\n3038 72731\n36693 93720\n19329 32681\n38113 89275\n16117 71887\n87850 95562\n18930 98436\n11292 42062\n37125 95367\n17141 56461\n28335 70469\n36020 71351\n1214 48289\n43146 96658\n57285 67628\n26723 88392\n47613 60582\n16699 92928\n34601 50229\n11711 20802\n67108 95912\n56734 65140\n86408 98703\n56374 59309\n14401 20940\n13522 56609\n23273 96423\n186 14007\n44612 67030\n10197 67883\n66750 67042\n16342 22906\n50683 86234\n71702 74188\n22777 56832\n71336 77705\n78041 79796\n15917 69661\n22869 67035\n6347 47779\n87050 95805\n9861 51186\n61907 80155\n33754 54407\n45997 75578\n57320 58410\n40548 69060\n38751 90485\n13276 20320\n21667 31569\n18394 75783\n947 6064\n42224 60362\n9710 48663\n33881 66491\n10484 73202\n27677 67568\n25872 86480\n1907 82688\n74316 76530\n13855 76935\n22147 86943\n21544 21980\n35807 82453\n57023 61044\n1474 4906\n23305 53893\n23670 63618\n45983 68225\n30922 67989\n17566 47423\n45753 98921\n19527 33122\n4951 91298\n32624 41925\n3297 36409\n75551 78733\n18754 77132\n3632 33009\n3285 12705\n5686 31977\n28846 49500\n13781 70603\n27556 75434\n31869 32735\n73597 75710\n67061 97118\n61535 70024\n8461 13696\n45645 48688\n29689 72334\n27051 27356\n60313 71207\n54606 98646\n59369 87590\n3074 92590\n7803 54199\n40572 74659\n72775 81682\n26465 43978\n8857 70977\n10836 41710\n26820 49583\n77228 91280\n16854 35902\n2573 54357\n27530 79200\n38229 73351\n22668 92741\n61973 88052\n41455 44528\n11147 94132\n10388 29900\n32469 90314\n15485 21300\n30620 30969\n33151 52207\n3229 45244\n18176 46218\n26138 66222\n60556 91690\n8557 64904\n12090 30697\n12699 36999\n71176 99770\n20013 24607\n14528 67359\n21303 22647\n36531 43776\n24058 27529\n49510 65634\n21869 83184\n45676 52853\n12688 70308\n6911 33563\n52969 76944\n35487 65465\n5256 69044\n13733 81561\n19821 49738\n27391 55869\n33544 59284\n73368 73547\n4287 19628\n34721 43623\n38336 73417\n25336 86559\n50856 96343\n40463 92616\n5123 36084\n6348 72708\n22601 96791\n8977 24689\n83746 89314\n12235 14574\n11661 56621\n19491 21135\n7804 63362\n108 85602\n8307 52327\n13607 47311\n41270 87142\n3093 3425\n34534 70864\n71305 72596\n25699 74142\n75924 84575\n47192 90778\n32649 38561\n46973 50905\n46093 77456\n54034 73058\n9754 51655\n74361 82843\n42148 68203\n30584 67977\n9494 31485\n18113 23200\n9721 72146\n40913 63009\n32274 48803\n13272 97685\n22261 94792\n12615 77024\n25517 32120\n396 50742\n12507 22509\n546 81241\n24836 67874\n52 95878\n71848 88309\n10878 70305\n6354 21824\n10803 16340\n3488 48674\n22580 75190\n12848 47948\n2935 28289\n32608 74905\n20352 75629\n2616 70515\n37135 96644\n15216 89671\n10558 85140\n44706 99761\n3068 72050\n72052 72358\n24102 89563\n29682 71304\n39859 85342\n20590 98322\n43605 77126\n22258 48818\n15247 58019\n46483 97189\n5954 82169\n10307 60202\n25542 98215\n15237 42089\n23987 75010\n51207 70814\n18384 81229\n37058 41813\n7236 37866\n6055 51931\n9975 58921\n12301 96415\n51924 82037\n15260 26506\n643 28301\n34795 77428\n18121 73473\n1698 28916\n13335 17090\n81475 90751\n37135 68044\n8683 31681\n35496 85459\n4595 90131\n45362 98061\n73090 74061\n16235 58988\n10121 38276\n30152 50358\n26591 43805\n7239 35929\n14579 34191\n2819 89171\n3520 30792\n1270 26607\n28634 46550\n67395 86947\n74941 86968\n18026 27146\n55984 92243\n6876 95529\n45522 67550\n34419 78118\n52585 65705\n4738 12205\n12313 14895\n39570 55861\n31578 44695\n33458 83546\n24631 28186\n61004 87999\n6387 8384\n30972 41482\n21937 49313\n41518 53827\n39434 71103\n18794 90666\n29826 85726\n9561 92802\n13581 53792\n22547 51895\n6644 6658\n34207 92968\n24317 68832\n8794 76769\n25778 93261\n26325 38321\n34313 91539\n17281 95877\n45487 47783\n71445 98125\n46298 99377\n17890 69836\n30842 78538\n86751 99861\n11616 16993\n66239 84090\n4316 83676\n41019 81447\n8301 34858\n14867 72496\n4300 16239\n21592 99595\n17177 70309\n13968 60849\n67764 69311\n54499 57026\n49798 51192\n15023 56666\n77633 99167\n35659 46718\n61032 75064\n32661 73665\n41171 76403\n46160 67731\n76621 92432\n38530 91286\n1869 58915\n55563 70423\n64290 82964\n60964 81285\n22498 81412\n19085 66865\n60875 93127\n10504 80479\n61913 95544\n81413 96385\n3658 35415\n78062 94718\n30759 32629\n62632 88505\n38711 82512\n46897 62309\n5323 97970\n32100 94526\n53945 86131\n64970 71334\n3666 49070\n19241 38468\n18910 27502\n71384 80514\n4623 18594\n11667 33321\n20455 70265\n195 86333\n19457 74224\n56257 74913\n31836 74953\n9033 43766\n86396 93274\n43039 50009\n16896 64091\n18167 54538\n32777 40793\n37910 77955\n13647 21758\n91605 96442\n7545 36559\n18643 31498\n22353 86891\n40997 75419\n42860 44920\n60024 84952\n19360 72656\n14122 60892\n5992 20423\n16924 57894\n18261 54722\n8829 34745\n20747 94335\n55206 55610\n81886 99531\n37066 91593\n56277 65052\n53706 86054\n45929 54444\n66329 68087\n273 50577\n12209 96459\n241 70365\n21781 73473\n77193 92323\n82890 93967\n23932 28435\n56805 89831\n75953 91693\n914 46295\n35771 53927\n18766 37111\n19944 53299\n8481 56378\n29367 40280\n28615 29272\n7462 32461\n94816 98246\n30186 84799\n7834 82756\n48678 68122\n46519 93818\n15029 26353\n85272 89796\n45890 99574\n26124 73767\n63546 94015\n48604 58703\n28201 43588\n23390 25806\n45061 76386\n11715 18933\n56997 80272\n51 84481\n34490 76227\n58662 70075\n35804 59529\n15922 20135\n9965 89812\n22497 40151\n29352 48991\n51606 73702\n90188 98859\n10217 72111\n69258 84233\n5909 64617\n23933 33606\n40358 50473\n77068 87265\n50087 99439\n58149 72761\n64185 81042\n35113 74440\n49445 60196\n6240 74728\n17925 26734\n69800 82134\n48135 66559\n55361 57090\n17637 83687\n31575 43987\n38220 75153\n77892 87138\n18142 69907\n19917 56950\n31970 46130\n5096 84960\n60520 87832\n41574 80450\n31992 50261\n85439 92770\n36039 45825\n27423 57000\n2742 39775\n5121 46725\n75243 98618\n14130 68942\n11367 89262\n74689 99846\n37216 55156\n62377 97077\n17373 95160\n43844 57531\n47099 97030\n56384 82878\n8308 23618\n14254 94733\n6933 24557\n33926 40623\n15620 98769\n20427 26529\n5592 94528\n7012 96122\n47770 64052\n37 38183\n446 21810\n30018 33986\n48486 98170\n45522 87266\n66662 86421\n15808 24671\n23361 30680\n31058 74036\n65319 99109\n39030 53813\n20702 70685\n37421 75583\n48528 86882\n21254 25011\n12520 95831\n74900 81810\n78688 88758\n17197 29750\n13485 96270\n4434 19519\n48312 62988\n40264 78909\n15060 39021\n14938 89588\n60030 76939\n18234 61923\n33472 33797\n79987 84951\n76834 96233\n48184 52498\n15107 21289\n18134 96853\n27453 51371\n12703 50769\n3064 40510\n67885 88783\n2579 27112\n68093 92830\n21041 53652\n52808 94939\n62438 86369\n37123 45352\n19764 65733\n12811 77823\n64235 76276\n49496 83444\n8212 52119\n19537 28169\n75020 85580\n14253 21144\n17820 55467\n58817 92124\n64007 68157\n94971 99793\n23667 89244\n8219 81866\n35207 85227\n8630 85368\n69378 83728\n8439 88083\n44119 81244\n65363 91577\n15170 95886\n37082 84660\n16248 91325\n13397 98328\n25126 75513\n21546 78670\n11749 54642\n24843 37778\n61310 98885\n24542 59007\n21609 69106\n18976 66969\n31009 71417\n67098 78717\n22152 79633\n43765 71324\n52537 93668\n42326 46936\n15491 37722\n34197 95697\n5277 63683\n21552 71115\n34410 36605\n561 80976\n25598 49574\n8038 32769\n49543 52256\n39718 51928\n31557 72221\n12105 99065\n25560 70125\n67768 97827\n72141 82701\n830 3248\n28443 44715\n49576 55961\n5158 55159\n11354 50153\n51640 76870\n17680 68481\n74113 99686\n8967 46847\n6496 25016\n8758 8924\n14922 56659\n40378 73954\n43416 77870\n50806 56007\n16700 62770\n83137 95328\n55350 59398\n55488 90060\n47913 85126\n79374 95337\n4208 64059\n12019 36768\n34886 37462\n55813 91513\n36343 88646\n79161 83187\n14869 22281\n12249 64016\n76032 94815\n81012 92074\n59539 94832\n76054 97794\n87287 94795\n17492 33889\n6366 86055\n2490 22098\n32998 81657\n86421 98501\n22869 33377\n45337 45375\n31036 42723\n77829 93476\n21948 47787\n71146 73289\n47 79973\n62902 69777\n33222 36116\n20243 78552\n4184 86298\n54407 85937\n11671 56657\n34978 95759\n29092 79314\n38064 63054\n38573 93013\n15930 71567\n30081 92913\n111 4424\n69074 92799\n16059 41592\n37127 96980\n26189 59258\n16349 99449\n63358 90872\n79457 93201\n32940 86169\n54736 59485\n17925 36160\n35604 76111\n1556 36413\n34726 64313\n48369 86083\n21622 61996\n25029 34925\n36506 87519\n32349 53808\n64947 72648\n15051 77653\n8702 87477\n11115 52714\n32102 61171\n31114 35365\n15772 37434\n48507 69552\n67251 86188\n4747 53526\n44547 98617\n34650 92826\n46200 69390\n17090 50398\n14764 86041\n26182 80482\n73120 99756\n50110 50963\n56896 66967\n22383 58615\n35870 68451\n45991 90368\n36449 69795\n8970 95218\n25575 66619\n1515 47776\n5805 61053\n2372 9445\n38698 53393\n581 35339\n63938 87181\n8714 17054\n37120 38985\n15432 24191\n6801 66506\n9916 76382\n4809 66409\n24922 28248\n7244 84823\n94073 98920\n34058 94863\n70825 81592\n44353 64310\n3202 97255\n66730 72760\n74493 89276\n2071 82976\n20389 81857\n67306 70506\n37714 77549\n6210 79497\n565 60078\n5930 92566\n1111 71070\n25799 33561\n21698 67198\n70530 78996\n48072 67133\n51317 85000\n5392 89092\n34586 35655\n43341 95635\n40027 69612\n35244 67878\n12561 58061\n60894 91583\n38394 93114\n34297 66963\n62617 89786\n23430 41185\n40997 41536\n18323 91072\n54021 61556\n7747 84138\n24759 80274\n1568 11586\n42321 52170\n905 22163\n44515 52240\n3072 16742\n19975 63436\n79394 98056\n26803 67575\n55868 88788\n13604 54431\n21502 27509\n45711 73247\n7001 67004\n31798 84238\n3913 84608\n32989 68444\n23516 97244\n2471 74164\n50459 63057\n34845 63268\n50456 51812\n10918 54505\n8319 94897\n4465 88424\n12010 85988\n44910 66976\n2438 99130\n2086 79787\n59624 93786\n20911 58858\n23822 44652\n51919 74498\n38021 89839\n16750 97796\n20771 39016\n74667 83303\n67702 76876\n41315 84059\n59750 88101\n13177 15359\n5493 32515\n44633 96926\n59707 70769\n1389 40506\n3456 86130\n15545 17258\n23146 39503\n16620 47999\n60754 97840\n23285 43095\n26671 71829\n67036 93109\n43377 95130\n9105 56653\n573 54623\n7197 19107\n33788 99339\n50264 90723\n59163 70214\n9680 99447\n40225 79051\n15046 63581\n2292 3866\n76363 84831\n72464 92076\n22381 84893\n5281 15768\n2355 42171\n71578 73817\n81293 86813\n17961 77064\n43412 93255\n438 9451\n18356 66511\n26060 99627\n71047 97084\n16953 19936\n15780 61265\n53398 58353\n70378 74318\n74327 90242\n13340 18715\n19090 21253\n2071 67873\n30562 84484\n22261 66263\n39974 96838\n44550 87193\n46628 86541\n21302 38020\n58595 73751\n23349 65374\n18080 62353\n50030 76580\n27044 97445\n13020 67133\n2079 52069\n52398 88339\n11861 54700\n8047 66075\n21330 81068\n58339 61142\n83365 99439\n27531 59040\n29073 51864\n3558 48511\n36206 80973\n80173 98232\n42493 51748\n11870 21059\n13172 25633\n35264 92557\n51929 85055\n41327 96581\n61124 79020\n22731 54853\n24156 81032\n56524 97553\n12877 15946\n64424 69101\n56314 73511\n36531 86941\n24775 26863\n49908 79987\n41705 78917\n32544 39437\n1051 56943\n75368 82185\n28739 60883\n57273 59654\n29237 64201\n7757 49499\n4190 23009\n22397 47764\n20771 33798\n16282 19556\n46880 73760\n57179 61222\n39006 81202\n30143 60975\n51643 83121\n48716 79196\n32721 83701\n58295 60057\n36848 46098\n44357 88679\n34996 35332\n441 70239\n21214 38042\n35731 71664\n11272 67469\n21506 33760\n31527 56070\n3647 74971\n8456 25721\n8714 10670\n13741 70512\n56124 67407\n3800 36910\n32640 98439\n1146 58020\n7547 52333\n49474 88462\n21073 27674\n21750 70324\n19736 73154\n42312 62085\n78627 85216\n48100 53203\n33513 66708\n48462 86139\n3876 6818\n14673 61520\n67152 77431\n8953 52014\n19656 40173\n32553 67766\n63309 82011\n20820 48168\n24904 28250\n57149 93894\n40006 46558\n60305 74412\n19249 82581\n30373 61638\n69502 91657\n28842 95429\n2735 56438\n31621 58161\n35575 86430\n6566 85886\n16804 71645\n40878 93985\n24041 91047\n29949 93016\n11703 91957\n43244 84859\n34384 96523\n59548 92987\n2408 47903\n17710 61845\n34165 94694\n47541 52218\n8235 12558\n56764 62940\n5021 37329\n30128 56196\n21104 67460\n34983 92628\n22983 84676\n52158 76783\n20696 50703\n51850 68106\n51017 87356\n20278 93270\n39369 94951\n11951 76351\n5276 64298\n4889 30022\n37503 70850\n27823 60800\n5443 14659\n77527 81582\n3435 60345\n2951 25643\n20457 66585\n33633 84561\n16188 68860\n48881 75208\n16364 76888\n30819 44526\n42305 67231\n44330 93553\n53903 79318\n21561 64179\n62962 92187\n21091 92063\n84444 89086\n34827 80252\n76651 84331\n55388 60580\n19113 21757\n18735 98742\n20347 32161\n13366 57347\n947 98006\n28888 48662\n51326 58078\n17633 32262\n9209 75585\n43528 62844\n12420 13595\n8490 49981\n17219 59260\n57061 97783\n37036 69855\n32329 46700\n38488 56337\n41381 52546\n10280 36839\n5987 88489\n13003 18670\n26925 69679\n79073 88628\n57171 83791\n8413 22300\n6757 48945\n6126 90028\n29883 53805\n45826 87644\n29468 82757\n6758 12531\n34054 76506\n81843 95764\n58785 75232\n45582 73101\n59518 67378\n13978 88164\n3453 74313\n89696 95507\n42447 83218\n47976 52829\n46110 85788\n13015 35450\n9202 39012\n67498 83249\n7823 60149\n13248 38312\n80761 92655\n27187 70736\n10926 16936\n90534 91027\n7398 13974\n69804 81745\n24815 44400\n1334 12429\n39989 61281\n24777 76006\n41251 49695\n82446 96252\n2235 9382\n5493 50326\n19727 53167\n9520 69368\n3345 12779\n19544 70558\n20654 69741\n25363 75800\n3406 25610\n380 14147\n4910 31153\n6696 50116\n69363 81535\n42159 93449\n10189 22930\n31939 34424\n82201 95743\n30123 47067\n23857 61577\n3687 52854\n30363 71989\n54553 82623\n26526 93247\n49590 50306\n88585 97348\n51376 61036\n4855 95843\n90823 93961\n53048 78678\n19210 88157\n15684 18575\n1520 60544\n15847 84529\n88035 99946\n92793 96555\n3657 13588\n509 66628\n20956 56194\n28110 45439\n10523 31553\n2585 76707\n31845 82729\n27348 46742\n45922 67516\n12308 58922\n25171 52492\n60980 99602\n36017 43533\n45570 78853\n49066 75279\n37692 99582\n2635 53354\n13823 53049\n38583 92066\n41557 68174\n61054 98445\n19220 33969\n12281 82816\n3996 61995\n7880 39959\n4131 33076\n48520 81458\n53918 68815\n4218 83554\n10992 15708\n80273 85473\n69019 86558\n28678 96050\n14355 34783\n9240 33400\n39472 42512\n1449 42276\n15713 28641\n5011 15182\n17596 30704\n11681 23881\n22715 36879\n19356 47698\n70563 84157\n62163 85005\n44479 81349\n43422 89863\n55340 86620\n29485 79684\n13385 78637\n92265 94550\n5684 79698\n25233 85179\n5977 81020\n43842 97248\n10548 62999\n19973 86452\n16856 35016\n41388 91865\n5532 23211\n46820 81661\n62776 75691\n11791 74147\n1883 29665\n26946 31549\n59020 80969\n7088 93615\n40556 93867\n48253 85035\n10121 68252\n24360 85456\n40119 73922\n22294 74942\n9721 97870\n62897 81970\n35818 38416\n43645 71858\n80384 85012\n20336 32032\n37174 81037\n796 9101\n30673 56719\n49478 64289\n3327 86990\n51086 78134\n38824 82897\n36839 82957\n11650 78541\n24286 39694\n32167 61122\n75988 94710\n4148 8951\n77937 83183\n58337 72270\n79607 82560\n87580 97455\n29883 69810\n10843 62866\n16514 76118\n64606 66893\n72368 88738\n23616 24969\n39401 68699\n45639 68936\n79428 97175\n19380 49331\n83907 90337\n16470 65365\n14526 60033\n18390 94011\n53623 95151\n62801 69048\n80537 86062\n54792 83172\n41762 72915\n28804 72059\n36132 56292\n36069 43744\n19158 75420\n5662 72664\n239 61780\n82310 89992\n68683 71919\n27852 68059\n23032 42587\n64626 66576\n8991 66990\n6819 57957\n82419 96207\n19726 77325\n52775 90615\n18483 45122\n24914 76950\n6704 58574\n7343 17682\n1212 65409\n4960 63721\n27461 43304\n63563 81816\n28499 29207\n33255 80284\n54444 82303\n15779 24174\n33098 64965\n20020 76325\n64302 72189\n57778 62903\n63399 78470\n40860 41949\n72308 75363\n6944 23877\n3578 16612\n69814 86410\n62335 91258\n47329 88670\n1172 53547\n7699 31247\n57072 90471\n55892 60853\n76194 99676\n45136 45169\n4591 48771\n22479 87888\n1839 88467\n37381 50653\n7127 34693\n14007 19909\n64988 81920\n16594 59455\n22082 85790\n4280 68921\n89710 92697\n9910 52726\n42702 86464\n64502 68438\n37787 82743\n52482 84590\n54733 62007\n5588 96950\n21929 47502\n67873 75993\n42677 69509\n76789 90008\n16178 98874\n5332 76340\n2893 71909\n17557 49186\n86421 99870\n14202 30664\n11213 94195\n881 4217\n19903 61591\n40002 92539\n4023 59892\n95695 96008\n7546 94230\n965 80842\n4397 18824\n66210 91344\n15396 21176\n16287 72507\n89573 96601\n41056 48766\n18317 36700\n32263 56444\n23931 93928\n48495 98482\n29266 43812\n17640 34898\n18754 47697\n58155 70944\n12446 51798\n69307 75086\n88846 93434\n28193 67372\n26095 89846\n34236 57325\n4135 59542\n3774 52711\n28983 41572\n25551 47856\n76564 84471\n30152 81884\n71715 91042\n59937 82077\n26202 87593\n75591 99309\n25168 66492\n20027 37152\n31120 87307\n9184 41299\n51564 66940\n10103 35035\n43795 73632\n8613 68998\n75297 89464\n10470 27602\n28691 53659\n47054 56094\n48868 77107\n36520 67039\n11510 99663\n23551 49534\n30590 69552\n14979 32227\n52295 89029\n24829 84240\n30949 86531\n69055 96918\n36683 68207\n26351 64454\n8406 14415\n26148 30588\n15219 42767\n5007 73737\n46070 98022\n52562 95485\n13558 39203\n58171 70309\n60653 72190\n7055 11090\n47290 92478\n11292 11456\n35428 68146\n42543 91196\n13607 14114\n18428 93246\n7748 81483\n25893 39266\n8394 85108\n17756 28357\n50875 74450\n9470 83880\n70916 95601\n74319 84489\n11949 68844\n61534 98396\n17035 83918\n6066 13152\n59479 85337\n61808 94439\n11218 76870\n12128 47176\n35547 88568\n50542 74091\n10875 70304\n45296 97518\n10060 22491\n35223 63553\n22424 43866\n24540 61420\n14716 53701\n42659 90955\n4476 65260\n22269 87605\n12967 19560\n59404 92444\n41536 60706\n31104 73886\n28086 97434\n56522 97149\n35746 58004\n2124 84588\n53992 65722\n15173 42541\n12469 43051\n29658 76105\n87470 91551\n44406 66728\n18868 65026\n28343 46192\n41348 80194\n15738 91482\n38864 89713\n14611 76174\n5183 88622\n41779 43970\n6806 87280\n6197 99670\n5051 19784\n3607 42519\n67577 70578\n26401 86870\n31028 57386\n16533 82458\n50381 98547\n15117 92491\n73161 93045\n48964 62081\n11842 39612\n10596 27613\n9185 86026\n17204 83376\n31637 42444\n10642 19873\n59912 94922\n69641 88840\n13456 43731\n22019 28876\n20948 66873\n1702 39927\n1699 91626\n35267 58301\n27919 97862\n91238 94983\n9109 69343\n2446 65362\n18784 24312\n58167 78804\n6599 75437\n50265 78423\n3820 72882\n58617 64282\n46898 53603\n10643 31886\n35252 78843\n25770 82594\n3922 87614\n7703 70124\n47843 77117\n58432 93306\n66949 67148\n55459 61463\n11100 61028\n50547 93713\n78094 96426\n36174 54693\n22010 67687\n72472 89737\n24043 86959\n36740 93209\n43595 78764\n80962 99055\n22970 23191\n60013 67101\n40086 52532\n10173 23556\n3493 15020\n771 44041\n58220 65781\n11955 47553\n23450 66366\n14686 54651\n26699 60237\n19882 79177\n46670 64752\n59881 77374\n2374 34597\n42642 82499\n292 85704\n16987 49819\n85638 86626\n57732 69228\n21674 34838\n40014 55690\n25650 43116\n19046 56087\n8410 49049\n61981 69905\n6612 41149\n1189 1571\n38064 75926\n56312 61914\n20558 29350\n20521 30642\n68495 77284\n28770 48498\n44065 95986\n3453 76629\n42638 85766\n65684 72177\n27000 68238\n21598 58223\n23037 24866\n47118 85751\n4986 45607\n49115 73471\n39400 85501\n43671 61927\n53947 94673\n37058 91904\n64785 67296\n38672 73270\n47700 60348\n34214 37664\n16334 41857\n83853 96845\n57235 79932\n18990 97690\n36037 72038\n36465 99732\n35879 43332\n38510 40097\n76784 79149\n52429 85981\n20706 83252\n74984 83034\n2522 75773\n9929 29680\n18206 76496\n7100 99946\n52028 56368\n2695 31537\n28757 46220\n8862 85792\n15364 95675\n30931 87163\n53373 82709\n48969 61124\n8385 39378\n5805 18471\n52958 81531\n38273 87742\n429 72601\n97064 98329\n42402 59194\n54232 92637\n27135 47064\n41757 75895\n54451 82422\n10463 16361\n30603 40303\n46249 89262\n13178 63684\n2780 6781\n34945 61094\n8787 12327\n9727 53746\n33938 53840\n61536 85699\n10777 78299\n24876 68216\n35135 77310\n2131 5619\n12850 77346\n9121 75247\n31649 64595\n3210 24429\n17415 31637\n8226 49010\n34411 59599\n2456 74151\n9980 61399\n67719 89462\n15992 23066\n21144 83648\n63016 80799\n15334 84303\n8162 83877\n65531 76951\n7020 82150\n83808 87165\n24874 39321\n31860 65921\n34278 73705\n57190 90823\n49536 80309\n20235 47369\n9490 37116\n11458 30549\n43173 62196\n6445 98799\n48572 89463\n38893 63442\n90851 95601\n7073 98537\n5140 19104\n51682 74848\n9155 51128\n48019 54695\n37881 70417\n32136 98613\n5461 83892\n36624 52539\n18079 89685\n3537 77112\n78658 86668\n53179 82100\n65736 97993\n40204 65665\n19685 32163\n7757 36247\n59470 69334\n17370 58809\n89992 95507\n40887 70686\n76741 78773\n13716 51404\n706 72500\n27062 73897\n10745 71665\n9378 90316\n45928 89497\n87420 99410\n34592 80305\n38594 82718\n66638 82099\n45742 52396\n34135 93226\n29199 86627\n65514 85414\n7733 9655\n10621 90799\n90179 93145\n2079 84462\n14109 28413\n40643 51455\n30064 40554\n252 65248\n71196 76987\n21747 64338\n55740 89333\n27453 81771\n33 57531\n42477 93387\n5735 63219\n17716 81945\n31754 81616\n20569 57825\n58400 60223\n27194 42704\n3087 44026\n17198 97651\n61026 65991\n11837 34075\n52328 57607\n49972 96668\n29622 79385\n20837 34897\n43534 81612\n18950 71400\n25382 76121\n49041 97560\n72113 90065\n49067 75312\n57407 57933\n29077 87863\n15693 27217\n69091 93746\n4979 89339\n41333 62443\n5431 86202\n41561 90163\n9732 88613\n36331 46517\n18769 43323\n8658 56988\n37384 61528\n63494 88980\n12594 69534\n85336 99922\n54479 63755\n10725 55383\n46263 57797\n34310 79020\n38213 85545\n2055 68374\n65286 82720\n14183 98944\n31217 40291\n66506 67288\n84017 94901\n46094 55504\n64604 87564\n66316 76879\n39881 66342\n27 7345\n21872 41446\n86179 98066\n68468 99961\n10262 27235\n66655 80238\n13526 27869\n39775 60869\n10448 74819\n27944 64829\n17150 46649\n53479 78146\n23994 95030\n20456 34776\n38814 70804\n32747 88834\n8090 59284\n85848 94746\n24960 82195\n29491 80724\n70838 99442\n16441 94059\n27618 67635\n26626 84656\n76077 79051\n13678 94596\n54129 87989\n12249 94892\n16759 90740\n30766 80704\n3034 59572\n56365 76533\n70651 98014\n33536 98500\n11665 27634\n22197 36503\n18104 19017\n10528 45158\n6922 26805\n63138 93588\n7629 97052\n76612 87468\n23922 87336\n16865 62015\n4792 66235\n222 49236\n23454 58116\n55608 95411\n84924 91949\n8833 88140\n78879 96863\n44902 61400\n67828 96317\n28979 50832\n23601 81855\n47619 84486\n36190 92913\n2601 42793\n71938 89412\n50875 77607\n52378 73014\n22312 43628\n46816 77656\n17495 49058\n4484 9985\n60262 84804\n10130 98941\n33167 37299\n54568 67509\n8974 54605\n52345 54043\n1471 60408\n76656 89029\n23317 90278\n53190 71193\n37928 98964\n40690 64989\n75594 93482\n9764 42328\n39904 91459\n60913 67657\n28333 91291\n58521 63380\n2588 90132\n729 13136\n68049 81455\n55361 59269\n13702 53669\n58932 64011\n61041 82530\n52214 91968\n72359 96904\n3859 34721\n89165 90891\n39236 72453\n31028 43795\n9098 97195\n2029 26351\n53048 98011\n11648 62275\n77432 81146\n18396 81547\n23700 37776\n74741 82522\n20258 20972\n70730 89469\n60877 85297\n35784 67005\n32784 48472\n47939 74199\n2802 91769\n29559 77312\n24727 64594\n56672 73376\n49433 89024\n36043 63293\n55 13757\n13958 99690\n73663 91550\n9497 22165\n2135 96407\n17254 23720\n49111 71955\n47618 53265\n29502 54230\n30956 51358\n26332 64471\n39899 40606\n11076 49690\n17572 68238\n35786 40488\n37415 56982\n30562 58858\n9911 52530\n2283 92388\n18792 53095\n29902 31307\n34735 57225\n26783 76758\n65400 88682\n12506 88520\n72640 96974\n47587 70052\n51287 79352\n22958 35337\n19540 44687\n96468 97692\n33189 39696\n4987 67471\n52194 57625\n38715 92243\n15824 65059\n7087 64631\n68250 93009\n45093 70838\n37020 85678\n38926 39279\n2096 2628\n15305 51185\n21906 72933\n25327 42779\n5245 66743\n60163 60270\n70421 75975\n60596 71646\n42287 95001\n33477 42085\n54567 81895\n23077 51171\n49794 70993\n17781 59276\n19198 37572\n67504 90174\n87829 94543\n67289 97371\n88728 89115\n38588 87081\n70895 74963\n29658 57484\n37461 48833\n3944 20459\n6948 91683\n6467 29657\n18086 32683\n13944 98750\n26170 80510\n54077 84422\n84859 85330\n27989 94183\n43269 66241\n7599 22248\n61726 62393\n50502 98231\n29472 34218\n51480 69499\n14849 76862\n10552 96440\n6622 82313\n7182 34078\n45488 63058\n51630 87099\n94010 96665\n66451 72077\n71448 94796\n60 14770\n2111 28602\n2587 89939\n18658 94482\n57730 66836\n33593 82907\n13895 80224\n38681 56191\n22366 72576\n90572 93714\n37590 75430\n33307 56678\n55222 79085\n80960 95870\n35802 39701\n30450 78579\n62445 98470\n15817 73874\n15822 32734\n58081 93124\n68383 72290\n25993 37820\n19967 32718\n14354 49935\n3244 5967\n71427 75462\n23014 83461\n34485 40779\n33854 60216\n8650 66135\n76624 79211\n93771 98053\n86143 99284\n6972 59063\n23406 73254\n80776 89312\n764 37109\n44472 71577\n73129 98319\n60768 94715\n56377 64588\n23834 51825\n36798 76099\n23850 82647\n63475 65629\n27808 31842\n60092 66837\n43147 98568\n52180 85089\n23362 76532\n34090 65612\n25199 60439\n44581 58496\n2601 74995\n42268 97807\n70323 87401\n12646 39877\n12219 96013\n47466 67086\n6305 97727\n31485 87017\n15195 98826\n43443 80488\n22427 26293\n31358 36281\n44296 93315\n25144 33867\n14371 74811\n15712 34501\n59753 80060\n19491 99337\n24995 35739\n35346 99688\n40851 93871\n17871 83847\n37089 97261\n54254 94846\n74033 96687\n346 54683\n1383 6541\n33930 42040\n8193 99373\n2796 56644\n15147 35584\n53076 63446\n5121 30050\n8993 18913\n53230 56456\n20590 77734\n1388 53309\n16650 93038\n14435 15354\n30114 88704\n59279 79704\n2427 68344\n88002 97875\n48023 59614\n26648 41802\n52273 72259\n14560 84031\n57856 67145\n35714 56034\n82797 83954\n44907 71738\n10086 30413\n68568 82096\n19919 45677\n24427 61506\n29609 30793\n12928 39866\n22032 79533\n79666 93843\n93810 96209\n29348 59186\n24299 29177\n22777 98644\n28419 59329\n70037 83963\n15983 63489\n3730 98334\n24006 77915\n1270 86610\n5776 92809\n19747 24315\n31771 76295\n60386 94568\n88344 93058\n38674 80459\n72319 82551\n41007 57550\n43387 53946\n20650 36501\n19149 50238\n23687 36068\n3252 57549\n61959 87348\n15517 88864\n41178 85843\n9354 33203\n3184 84175\n39150 84549\n31922 83749\n59388 91158\n30348 34150\n62949 90110\n16279 45509\n18138 52755\n70478 75779\n12889 79106\n24198 24968\n50028 54270\n13639 40883\n30532 47072\n28336 91648\n21816 53953\n45332 81122\n31421 78760\n3832 57020\n67550 67807\n20930 59650\n11155 28971\n49273 75969\n73635 78838\n68572 78943\n33347 69684\n29393 75334\n13454 19870\n45713 88981\n40659 54734\n5015 15516\n14877 81998\n52395 82767\n37603 43545\n75416 96968\n5448 53963\n3049 44482\n584 36871\n10524 46283\n78654 85753\n48353 83046\n19962 25510\n51254 70380\n14807 43308\n4927 41573\n16401 17612\n19023 69432\n7967 43282\n8076 29002\n11882 59485\n85384 88053\n1255 18205\n16106 88651\n65366 96888\n44389 67858\n27291 45719\n9349 27667\n61003 86133\n25896 82674\n81259 84164\n59833 77021\n52978 62512\n56443 95960\n47464 66738\n2599 88626\n42534 87976\n78832 81357\n23293 29074\n6188 22172\n25080 60691\n18406 92496\n46892 49291\n61901 99083\n66845 95737\n5471 35110\n40097 54947\n71671 85762\n18278 64995\n38770 81013\n5851 79101\n24682 67434\n34447 67028\n12398 88953\n37672 65030\n31055 56047\n51927 53472\n7652 50597\n5370 73145\n23755 73629\n78135 91117\n13424 40473\n49943 60695\n46043 68767\n64043 74228\n44976 99444\n18001 30993\n63962 67341\n81036 85118\n98931 99102\n64182 67782\n25595 39651\n32216 37834\n84529 84601\n51724 81796\n37451 97170\n73369 83006\n1945 36369\n35755 80158\n58901 99663\n28473 55086\n4457 40705\n78587 98190\n33879 65048\n19400 61601\n22854 76312\n3330 72765\n39134 43869\n30801 36059\n31986 79955\n6908 28765\n70876 79519\n54842 85010\n42123 74423\n73360 74502\n71968 85914\n32261 84107\n46391 48330\n15519 52208\n7832 44730\n88547 88752\n21599 65102\n25241 43763\n35854 93487\n30364 32878\n511 29694\n30734 53229\n86075 93840\n57406 74340\n46414 97062\n41090 67616\n96814 99572\n15293 38360\n5657 7270\n65649 95587\n74634 74644\n18283 32392\n88926 92611\n19128 52415\n62192 98593\n12686 45663\n44380 85969\n33978 92591\n20783 92627\n7117 83834\n332 7301\n9177 74805\n6341 64244\n67327 67360\n19276 76888\n14824 98152\n42743 59713\n10347 16378\n20995 86398\n17275 33127\n3340 64313\n17314 54153\n20270 79260\n16321 17609\n69867 71130\n86300 91443\n13705 48295\n40757 49077\n70544 92630\n10085 83110\n1574 9225\n5931 57256\n6122 41865\n19581 59038\n25818 69958\n955 36368\n44726 85589\n3683 75798\n9225 56561\n10946 25098\n3001 72279\n37534 92655\n736 71410\n20822 77409\n15867 18329\n42073 44635\n11658 80332\n51231 65982\n40341 42869\n93400 99032\n33926 45431\n65036 82322\n13907 84149\n52725 52908\n18510 55626\n48333 51080\n32938 56591\n399 51072\n48936 53595\n5714 30584\n36876 65725\n27052 71030\n28607 84721\n19945 98855\n19191 62064\n81580 96775\n12325 13054\n9650 75649\n22655 26239\n32079 37816\n520 33950\n29297 45920\n50 60457\n18830 80149\n16540 71883\n43921 89824\n23252 29532\n44099 76220\n13771 45734\n21535 41024\n11018 94706\n4885 81554\n25506 61573\n9142 89919\n16690 47900\n18368 34321\n72699 84049\n30375 65945\n32499 68897\n2851 72768\n17625 28800\n29507 66585\n19951 82150\n8930 84100\n5232 21890\n13873 89342\n57917 66904\n61035 88474\n19390 56159\n35293 55958\n29814 93041\n14435 68817\n55570 74237\n16385 39087\n61747 89941\n23234 35798\n1823 11872\n16280 96803\n65034 72028\n107 25137\n25388 93622\n19136 29794\n6200 97789\n9617 89330\n22733 86744\n6771 67739\n24049 42279\n881 21904\n21934 73365\n30784 82361\n90206 97330\n2694 9934\n48428 64845\n26044 87710\n15166 89138\n5405 73777\n68981 92333\n33209 49832\n45438 62102\n1961 87230\n18484 36454\n39610 98589\n63478 77496\n26957 76798\n52486 70131\n74750 99230\n22782 87009\n45139 96628\n37922 40863\n11138 63753\n52521 94411\n17923 60281\n66552 67256\n24183 63412\n12270 57261\n20102 46250\n72201 83644\n74865 83930\n14495 42731\n74325 84058\n30970 53162\n28212 52412\n16260 46291\n35579 96956\n35943 51279\n67584 84191\n49552 66375\n61689 95866\n21697 36375\n69035 79152\n17910 87645\n15457 34375\n8058 95730\n49113 98803\n18192 33016\n87916 96306\n35346 65495\n22030 41205\n35531 80389\n9201 35665\n37273 37865\n42363 65387\n12454 75972\n6251 62946\n27798 48904\n23642 59237\n10999 88105\n3785 42814\n50566 73652\n13193 60093\n2121 12988\n22753 85421\n14487 61774\n17413 90401\n32566 40999\n57189 59663\n38171 45760\n58455 95093\n31980 53740\n27431 45838\n6802 28750\n5784 91574\n79206 96393\n32816 55704\n18529 58716\n39755 41674\n6084 38450\n28424 72827\n31276 90124\n39176 62143\n76411 80321\n5076 20781\n7288 20428\n67728 94119\n31637 57816\n10295 43560\n23356 56931\n4098 34159\n39317 53394\n37999 64242\n65924 66967\n9959 28390\n2984 27351\n53762 91618\n30402 54081\n78508 84379\n19249 44439\n32381 79733\n50479 85882\n9979 54462\n66152 67258\n59769 87194\n50054 81487\n22038 31360\n21764 22884\n3246 53293\n37459 37862\n26981 74079\n76087 81682\n32852 38420\n14849 56671\n85368 90383\n23681 28596\n13749 16308\n11596 80947\n16311 76743\n49266 62205\n42865 69595\n74351 96702\n67760 87459\n29266 81495\n39824 40658\n19794 20794\n23393 50256\n7734 70653\n6461 52703\n13501 91366\n68108 84244\n58832 66079\n9795 25434\n38433 81269\n32942 56236\n7193 20970\n73184 94978\n57415 91114\n2435 14426\n77783 92677\n19995 44940\n7979 97222\n16981 65562\n13774 26604\n11507 69624\n30317 78392\n9804 20152\n27329 92537\n25856 99204\n55906 67964\n30092 71930\n16542 19012\n78554 93230\n58208 87152\n21776 31340\n38911 68896\n58353 85200\n38020 75689\n64538 79123\n14959 90749\n18812 58215\n7891 44527\n23478 84354\n9468 84031\n32781 51857\n5057 83274\n72866 88853\n1156 52045\n76417 82945\n29280 76513\n30779 99357\n28765 49885\n23134 67343\n39123 65028\n14208 21230\n8914 42243\n67367 99784\n26515 62087\n10599 25527\n48287 68719\n33033 36529\n28372 77088\n4095 19576\n998 84089\n31115 98795\n79867 97652\n74358 87065\n61649 79170\n32705 82754\n14519 38341\n33729 38473\n75678 85461\n5591 29914\n10289 42269\n1519 83816\n2140 74091\n45929 47453\n68026 99757\n62262 77476\n36748 89794\n2630 21609\n35504 57633\n69344 81951\n15524 89305\n12455 21920\n23599 95158\n75841 76070\n20312 84929\n28721 52851\n4147 34885\n74550 92108\n65297 84185\n40570 95256\n3548 27285\n6381 73644\n69097 73373\n18871 65093\n52035 60257\n79239 81043\n41869 52263\n80874 97656\n12366 63649\n25826 55487\n24528 46756\n7377 74154\n38859 75932\n72553 80372\n56090 86097\n10137 85069\n2327 93862\n12054 69432\n19353 30199\n28947 86979\n46342 90907\n41457 85086\n15487 65558\n12669 87687\n87378 95985\n28175 55578\n71665 80980\n39183 78753\n5589 90765\n18939 64301\n16974 80837\n256 47164\n58420 74828\n13285 52797\n6202 71470\n12550 14511\n21363 70757\n39124 61742\n42054 87727\n20284 44315\n2476 86775\n42310 45683\n15071 26088\n27485 42460\n30178 41498\n6461 57333\n35384 74219\n79371 81184\n69330 89808\n63778 82174\n26076 88558\n16274 53576\n50963 77649\n22649 48641\n13938 78927\n13580 85289\n59432 73654\n38587 52081\n41940 80418\n12099 70274\n42963 64069\n66023 74905\n38019 69597\n14812 47288\n3806 96750\n16139 97468\n2138 31603\n15229 61208\n48676 81068\n63713 70272\n58089 92346\n50435 84395\n11593 59845\n17070 56140\n49801 74184\n77905 93525\n1655 5449\n121 18757\n28229 55523\n19126 38126\n1874 14615\n22604 22719\n40847 91109\n6375 9368\n23972 92508\n41306 73859\n1578 19022\n1669 27322\n43887 94590\n2599 6956\n62406 62503\n21294 64753\n56435 88502\n10470 14488\n55827 62316\n10026 62420\n17291 40073\n12946 95662\n739 16758\n52651 56922\n43203 93180\n39621 80276\n34522 43737\n55601 93824\n14553 79887\n30531 66500\n4049 82135\n67100 84299\n39490 61804\n70630 93184\n55840 85108\n15245 36741\n358 80120\n21247 86843\n10580 24330\n12104 50376\n63620 94635\n30930 81901\n50402 54269\n3010 60958\n6264 86467\n84541 91978\n9846 59987\n17338 91993\n72901 79317\n22027 89957\n31656 73700\n8266 92460\n70168 83932\n7283 41811\n3788 56014\n1337 14679\n67546 76269\n44811 47275\n9404 52425\n79110 87715\n48148 67138\n21635 61802\n41187 88876\n39460 84240\n7915 54657\n12964 96637\n50128 56476\n38933 90601\n11833 12853\n16023 89149\n30579 86091\n26592 80373\n34048 55057\n1099 20390\n70550 91899\n38971 90394\n21900 95053\n691 49206\n10834 88012\n72562 89597\n44461 62886\n2870 18147\n86658 88692\n40915 91546\n27563 99640\n68066 80061\n24455 97147\n1553 22605\n27544 51194\n61669 76060\n18974 24365\n33730 78575\n73090 82747\n11227 50517\n58659 97508\n22070 38545\n74656 87090\n49979 73469\n49379 50566\n6454 9992\n10464 42897\n61959 92134\n54776 56158\n71628 84611\n609 63943\n6970 66606\n69310 71719\n947 1391\n52430 72162\n57364 88663\n30679 66408\n65730 76803\n19158 94317\n42981 81512\n20461 80471\n6513 7453\n71585 97604\n9543 81406\n4988 29540\n4576 80532\n13645 65020\n25531 76200\n25449 48413\n5545 48008\n63647 81688\n32657 62169\n54209 93168\n46305 99917\n46483 70703\n71495 74425\n17135 20091\n40903 55085\n31876 92969\n30539 79492\n46027 50190\n50805 86932\n18748 84287\n26399 98479\n12364 14861\n58953 86476\n32001 47037\n15790 53963\n72034 75445\n47037 80262\n42595 56619\n68061 87135\n22607 89543\n50389 98865\n62475 65185\n66875 71817\n7306 41274\n26452 81067\n45780 68131\n1805 2053\n50582 62598\n4053 55857\n36213 64026\n49091 83012\n9081 70978\n77293 99046\n34550 88314\n24541 63195\n19267 46885\n50779 64461\n37375 65018\n9250 37803\n55946 65995\n8324 93851\n17083 89443\n54889 71086\n46742 82850\n51396 85465\n9285 72853\n2521 92305\n21212 58170\n48428 76575\n23500 83827\n5506 45533\n19527 74561\n51193 84492\n7319 72876\n86767 89619\n52536 76680\n29421 92864\n47729 74507\n39981 69397\n50851 63091\n16320 32182\n4483 30944\n35115 85722\n10693 26724\n12673 45680\n1399 60539\n17413 76639\n5811 35166\n62825 71702\n31196 49574\n16011 36277\n39553 81674\n24715 84466\n64496 80407\n46213 87703\n34336 51865\n58274 74925\n16799 59170\n39896 87555\n43808 64184\n61379 84328\n8026 26646\n47689 58436\n17857 55086\n31123 40472\n87821 88042\n31294 65600\n41148 79721\n62190 96968\n23577 40933\n8691 33513\n64046 68516\n4637 9385\n92331 99265\n75753 84213\n39949 73115\n31953 61995\n52878 92367\n16112 70388\n30567 41709\n2409 30536\n82621 98486\n56117 79980\n27978 43971\n36227 36604\n35392 45781\n10881 95409\n51007 60921\n28215 42071\n8205 67224\n45081 95182\n21714 27189\n1362 44343\n17603 38993\n9940 40403\n10648 99405\n3331 63043\n7770 73814\n61948 74153\n67597 93121\n2550 63364\n24875 34599\n5566 82318\n36832 49708\n19377 83896\n13852 15361\n3252 66176\n20573 36184\n7839 33730\n41141 51414\n64454 92663\n25356 88751\n45885 50613\n24660 72728\n19596 55059\n91857 98924\n2270 43318\n31629 79345\n64538 66358\n29900 72080\n53630 90101\n53304 75895\n12613 97067\n14573 93212\n6135 27097\n2098 74681\n8319 88400\n4693 71612\n44893 52148\n2200 9023\n33766 99609\n41527 86603\n34321 92554\n6552 35904\n10584 35754\n9960 83370\n91310 93401\n3145 53548\n6700 14037\n42564 46643\n11349 66632\n74466 79172\n59016 94850\n30959 91298\n10885 96110\n4438 89803\n26106 28607\n2804 44472\n67904 71474\n4831 85994\n75882 99622\n46538 50720\n15117 55239\n36052 55929\n35198 51031\n62149 99844\n55294 80983\n22027 62249\n74603 94681\n23604 36075\n22359 80081\n3949 65199\n61687 92045\n2629 14769\n2706 67478\n64277 88831\n87310 93114\n40469 50793\n11274 27858\n53439 64421\n84223 88860\n69750 89268\n46320 66478\n11902 15910\n19308 38807\n61384 66411\n22735 70308\n52223 93554\n8801 13321\n17667 76490\n22661 55436\n61214 61430\n65996 94066\n34317 74386\n76509 82820\n18223 82206\n28541 73369\n34029 93329\n14088 49720\n43875 56454\n1251 83059\n37847 95980\n26984 59483\n14447 75131\n8186 56047\n25214 96309\n61463 61615\n29937 57304\n34740 79504\n57947 66153\n4279 88411\n80214 85877\n53097 57308\n3445 26848\n77850 95131\n32966 62169\n33992 42945\n73317 80928\n2963 64675\n46506 91508\n6474 76422\n24343 25372\n4474 59421\n53301 85851\n81847 84804\n55131 91634\n65397 75155\n59671 95222\n18468 20064\n19967 22539\n24291 76797\n8304 33346\n26514 83197\n10163 32745\n59333 69402\n22167 34357\n20796 26081\n52288 78337\n22319 99704\n2330 91686\n32385 36592\n59145 80379\n52129 85236\n41231 47593\n9098 10341\n16247 89869\n69635 73749\n27330 43301\n15786 59860\n40430 98572\n29076 53845\n40228 59113\n78517 85948\n61893 71603\n32491 51011\n63822 71318\n71803 89768\n62875 91193\n5174 83975\n38906 40014\n26394 62369\n9565 57291\n667 37834\n96815 99163\n77885 85043\n34827 94838\n64111 77565\n13688 67650\n26369 43328\n84747 89186\n53665 64863\n22294 40272\n42636 50927\n43228 52008\n5073 93022\n22776 56859\n14073 46074\n43705 68435\n34786 95977\n31942 44638\n54027 71870\n14587 51674\n32367 91033\n6032 73762\n31368 92252\n11741 97509\n39501 79313\n51488 75665\n18998 56024\n30517 73246\n27358 76940\n3933 99122\n60788 96372\n84103 84588\n33582 57478\n22962 27928\n43763 81010\n40185 52449\n28260 86921\n38869 95946\n5246 63986\n53589 61451\n24488 28788\n44566 56848\n49672 93393\n5891 92624\n22161 62813\n30249 92019\n47744 47984\n69280 96240\n9681 90393\n577 55397\n27942 98334\n50314 56162\n21441 39634\n11233 52542\n17075 70693\n37846 81353\n20754 49541\n19078 40805\n693 72252\n10345 52661\n22087 46901\n87995 98422\n48430 87372\n39934 65396\n14019 30866\n1077 70930\n47117 58224\n42125 86343\n9152 26292\n1456 64027\n73736 86414\n10437 90696\n2517 28520\n11188 49426\n10981 28915\n35061 51572\n66698 98783\n3310 92553\n31999 52865\n52269 80894\n31691 66631\n680 5212\n18583 75568\n6836 65618\n79007 90898\n7517 94242\n2387 50040\n30691 49072\n31159 41244\n28911 37342\n16412 93908\n68143 91445\n40186 74112\n29457 75045\n737 65997\n28655 60601\n77453 96005\n12903 74575\n22396 29665\n38066 64488\n35237 65478\n94206 98066\n61176 86565\n8924 86565\n14375 45834\n59919 99215\n98901 99019\n37167 71608\n24580 94813\n20544 51019\n23749 60471\n58305 72132\n2729 57724\n72715 72747\n5760 16212\n6183 47546\n83677 94981\n16735 44863\n35058 47434\n54489 99217\n44510 64509\n25608 88280\n3667 59500\n51150 89868\n13297 85612\n53485 99611\n54090 74149\n79279 94524\n3730 20591\n25552 57984\n62373 72062\n21793 41976\n27683 85373\n1347 98120\n50678 61715\n9701 47629\n1793 2169\n9944 69927\n15901 67420\n14566 64874\n7326 78740\n37996 82260\n21234 93648\n32928 88524\n2128 4185\n29042 61446\n33007 73585\n90427 92717\n69372 71476\n69235 85591\n38991 69636\n14848 70608\n18671 77439\n17286 56506\n43520 50981\n10261 60397\n22848 68377\n79219 97146\n62010 63947\n10146 99976\n3564 58679\n5657 9209\n32046 69662\n22763 78951\n15336 15991\n41938 82446\n60843 69801\n23038 89373\n90489 91120\n31467 42659\n27762 76528\n46468 70934\n19947 33923\n47412 56949\n8684 36384\n13848 61426\n58817 66119\n5054 81675\n51827 94623\n949 15229\n39227 48977\n13395 17267\n13182 59626\n16821 55890\n12268 81998\n22489 99385\n69301 85850\n53425 81094\n8789 82360\n34278 94835\n47447 89948\n1239 84613\n16398 92347\n10945 82599\n42126 60451\n14417 34794\n81353 93356\n4663 43627\n11439 33852\n25083 61764\n14964 33380\n9065 87277\n47125 84914\n14244 56353\n77067 99828\n30591 65424\n25169 73639\n76636 86775\n83312 92770\n39980 78192\n51318 78272\n87956 90752\n37183 98992\n52426 73054\n36196 36202\n12208 60504\n31999 76544\n26829 60249\n31395 36113\n3409 58973\n2879 69814\n19494 94964\n22712 55061\n49545 87301\n21849 78258\n3230 24642\n1516 32964\n10964 97821\n8120 99643\n18003 38032\n40090 57761\n50431 64782\n18310 26166\n42987 75813\n14878 61607\n31405 70363\n74583 82170\n48302 50003\n24108 71844\n65577 93204\n53883 93064\n4952 94459\n87907 94069\n57740 78640\n23530 28973\n8457 26718\n41393 59475\n6801 21047\n5963 91930\n60416 93482\n56680 68342\n49279 73156\n46425 49076\n236 67490\n45491 49853\n7168 16614\n1710 51785\n69168 94630\n84435 94128\n62606 85228\n52164 69381\n6926 84688\n36297 38267\n30546 45303\n23012 25069\n21186 82948\n3037 48476\n50694 82688\n75217 90067\n10692 24712\n19912 87790\n23160 61365\n59264 84541\n55448 72448\n85341 98364\n33667 49693\n63843 78302\n74653 84566\n211 8588\n26400 63868\n10755 72526\n46227 87519\n56817 70797\n84313 88734\n76511 84640\n43687 81655\n44367 81147\n66645 98182\n14388 35012\n40179 57668\n23297 34342\n24934 58809\n9576 52891\n46150 72938\n63044 77969\n25478 93412\n80498 95199\n24854 98182\n7564 80947\n14042 17214\n27900 45487\n9950 15370\n40498 99841\n85617 88872\n85547 85877\n2086 62846\n11558 17462\n25729 97378\n34062 55121\n32324 93247\n71312 80560\n20095 87507\n10149 57894\n72439 76229\n67095 68346\n36208 83343\n29105 55949\n54247 96781\n26122 78509\n33432 65583\n3524 45505\n50202 71297\n12063 83781\n67448 78586\n52538 65394\n51811 77235\n10747 54732\n74396 78251\n31331 34683\n11596 14194\n68816 69553\n39352 78793\n83705 90753\n5883 43681\n81619 92948\n24606 25787\n3501 42467\n10849 59570\n31761 75627\n7273 15630\n62834 73860\n35052 50024\n62158 72718\n66607 87468\n42419 81005\n25196 41163\n36939 99165\n73938 95971\n54294 60715\n36906 83419\n6123 60425\n8853 68667\n38340 43184\n38376 87435\n5894 99847\n43931 82232\n69210 90659\n68197 85823\n28464 88829\n42554 94961\n36182 51581\n69036 80113\n2823 14759\n1811 52112\n31796 41860\n14007 51068\n18455 95393\n47590 85956\n74630 96322\n24642 49343\n36521 40030\n30438 82266\n54072 85909\n49512 98168\n71391 73367\n1088 9653\n49476 70975\n52856 77943\n21163 24447\n14572 49427\n30414 89661\n26229 38208\n39450 53302\n62222 64956\n49687 67207\n69238 74181\n6882 57671\n20234 63873\n38334 78934\n52709 63203\n15390 91963\n33430 87282\n1153 30350\n28024 90457\n67882 79196\n26094 63312\n14554 95743\n11604 25779\n20808 50005\n36456 93435\n11940 26587\n9136 16708\n9468 99698\n19193 23085\n3041 13458\n78554 93250\n25405 30014\n7899 23286\n52320 86198\n3927 91029\n32547 84821\n36659 58983\n13201 91210\n73400 87043\n24464 67558\n30545 69433\n26358 53896\n40798 93511\n5029 90737\n57008 67058\n12159 86665\n21188 32928\n76408 87612\n40515 42765\n24190 91228\n18929 95628\n85466 88625\n592 10786\n56389 60632\n86847 88577\n14953 23075\n47716 51949\n22672 25592\n27601 50085\n33808 56098\n64013 78292\n27404 98553\n51684 55630\n78643 83340\n66939 73792\n27590 31481\n28810 68697\n11096 43933\n51085 64999\n63224 96736\n95341 97878\n9467 55369\n16998 32887\n5744 98507\n39826 89014\n28885 37572\n36712 97175\n54381 82122\n57085 62152\n35179 68757\n20816 72768\n62890 69117\n7956 51687\n69193 79536\n19327 88345\n21128 29966\n68822 98418\n34608 49881\n632 59252\n53458 77376\n5824 98334\n13040 63504\n11967 58359\n16608 32480\n6769 19399\n29290 70733\n40881 66085\n2678 84352\n67085 79878\n6048 29967\n10273 43931\n50303 98572\n54679 68625\n10269 48792\n30512 38499\n81875 83178\n71523 76546\n21489 41008\n3820 93796\n6635 15471\n37869 79999\n9389 62013\n41762 67232\n20906 32298\n43844 65337\n16375 90706\n28222 45244\n11287 99709\n38452 70773\n17077 41460\n46557 55967\n44405 56350\n10547 77529\n35949 81551\n33167 82414\n51264 95416\n30726 85325\n778 36365\n15875 80174\n46801 65853\n62020 79622\n5185 99617\n47490 77773\n10610 80944\n22285 96453\n22057 63698\n17307 31743\n6588 16847\n36566 96670\n8322 98468\n27827 32660\n12398 57153\n10855 30863\n31225 53498\n48638 58187\n73379 92710\n5500 43773\n361 9256\n37835 96214\n28753 30413\n14256 20706\n33352 52477\n5393 53539\n26757 84451\n11201 82417\n25269 60207\n15643 43739\n62771 72550\n9458 14670\n22035 70009\n24044 68857\n21902 84815\n33637 35191\n44102 51571\n20789 65152\n69306 75337\n56630 73127\n5850 71726\n30268 48726\n55979 84042\n24039 56437\n27447 39494\n26407 44013\n33650 65301\n5681 55153\n2520 69276\n16641 65280\n9939 37671\n17687 59812\n76436 85254\n41573 63401\n37860 45617\n9616 56214\n46426 65456\n2350 94071\n40338 58767\n62950 92408\n65923 86434\n80962 95940\n58619 99956\n13234 52341\n3892 10914\n47013 87383\n4779 71706\n57724 92898\n26149 52886\n24615 93988\n2957 42150\n7060 61124\n45241 78883\n66145 73122\n45473 58468\n56136 80554\n61441 98694\n76669 88225\n17434 83146\n2877 70485\n37134 64014\n7651 29178\n53846 65005\n68260 88259\n40027 77770\n15697 45811\n49183 84010\n15158 85125\n8542 74778\n67429 93309\n49793 73204\n43634 45920\n37499 44004\n24048 57743\n38188 87442\n20673 34707\n40979 43262\n13578 42467\n63215 97726\n24289 27838\n10727 89954\n9702 56557\n37899 89414\n54530 95813\n1151 77249\n59220 90477\n63777 70229\n69920 77900\n10877 73555\n51254 66067\n39259 61658\n30780 72912\n48173 84637\n19737 41100\n17912 95067\n40914 58700\n116 35200\n11995 50861\n34231 97739\n70102 76922\n44919 87112\n70634 84748\n9883 45778\n11053 85837\n24502 67879\n26350 28533\n30817 52177\n20165 39403\n39461 88624\n60704 85867\n64522 87322\n4197 36302\n10176 42878\n41912 86262\n10024 17058\n15027 21616\n14176 43811\n40854 69255\n69372 77432\n78124 88963\n18153 59613\n50736 76396\n42881 73295\n26713 77712\n24843 52280\n36886 58174\n40566 54799\n57752 63605\n7584 34608\n33393 86504\n61727 94458\n32239 45730\n7532 24747\n12970 97871\n59116 71899\n34442 58018\n1111 50814\n20372 24686\n28499 65898\n35951 91666\n8573 9915\n14940 59174\n67014 78245\n13314 48913\n35961 60878\n19728 22378\n10546 25831\n22898 63013\n24509 56445\n61536 81535\n58305 75215\n25339 71653\n88006 91416\n40192 67375\n19466 67996\n34066 55279\n27546 85237\n3496 90707\n22038 94482\n83097 95758\n35450 41082\n6696 96397\n15235 88654\n55786 87758\n72091 94863\n20060 90553\n67461 68895\n31448 55428\n2700 21348\n33352 73631\n6232 62881\n21252 99718\n41244 80191\n86031 94723\n21924 80560\n31040 46742\n18306 25767\n43632 48609\n7838 19089\n75250 83507\n15875 30676\n25417 95115\n12294 77893\n34357 34895\n25846 58277\n55263 85614\n33393 92772\n49064 88372\n75389 96032\n63721 92536\n83531 98755\n54656 94824\n29881 43202\n82467 95567\n10180 87142\n34280 80246\n19946 85879\n8237 11745\n10910 90490\n90283 91076\n71719 77863\n36605 79544\n2775 98781\n12654 70958\n6451 71042\n12812 13494\n28654 34194\n66841 82438\n80381 84698\n69193 92336\n44252 83561\n47077 57400\n135 97162\n27971 90070\n2160 73741\n20326 78589\n22898 27445\n23269 67238\n21849 96823\n15119 74689\n2074 9998\n9337 16195\n79958 88927\n31938 33305\n82360 93025\n1266 67962\n86061 89518\n26752 70884\n26976 61812\n26838 68935\n28884 38376\n13886 62349\n35289 91363\n50911 64622\n44723 88529\n49142 95292\n35384 85385\n19364 52329\n2778 87785\n1272 56753\n79860 87710\n54100 86588\n21681 62682\n19803 79442\n15535 83583\n66808 80460\n28336 97136\n7899 71036\n52792 68128\n33401 71603\n60052 63139\n7813 21447\n52600 94135\n30305 82319\n27292 94109\n8741 88446\n54145 82962\n48607 93338\n603 3511\n41222 91866\n4777 81935\n3136 12061\n10555 54664\n34024 48390\n75702 93004\n25494 43275\n26573 55405\n77072 94488\n19541 58425\n16892 91557\n59407 61148\n10069 24534\n60376 66127\n71085 88631\n31291 85631\n22702 88488\n15386 44218\n48896 57513\n20459 94006\n41414 65083\n62801 98497\n60543 84213\n3505 7496\n15864 48675\n39404 76324\n13362 78153\n18987 66111\n4037 16069\n16680 45778\n84307 84489\n27820 76037\n71483 87929\n48408 62018\n17328 35184\n191 21993\n31212 54005\n27542 37837\n43912 77142\n2224 67543\n2513 79952\n85361 85460\n64120 84463\n30516 57672\n38823 97326\n4301 76782\n21150 61843\n5647 55914\n5193 95781\n15602 17312\n7298 82653\n54967 57842\n61540 91597\n41189 87450\n37652 52097\n74382 85287\n58199 60328\n23731 61045\n33754 68988\n69186 97310\n3543 88026\n55105 71027\n33560 95716\n32575 33599\n5214 39041\n29229 88015\n53688 78923\n16377 32756\n2889 45657\n84792 99257\n44541 51611\n1073 3016\n23706 97343\n36036 71881\n76109 94837\n44625 70030\n69301 97102\n4496 80733\n59830 82284\n15240 58446\n7756 66846\n22507 57731\n11410 47938\n2842 9470\n8238 73386\n7579 83791\n69534 96490\n62476 77390\n17780 19692\n15118 58708\n40776 75052\n28665 42597\n6302 95901\n6926 16930\n1845 49178\n23200 74017\n72180 80615\n2564 79621\n6280 30468\n50571 92251\n59933 74443\n68172 93627\n5864 98021\n69202 97603\n61165 63536\n46944 47214\n12676 18245\n33797 46164\n11543 97276\n71622 79052\n35978 92487\n17666 77874\n49555 94227\n4829 82978\n39483 68028\n619 4477\n35168 55389\n20245 26819\n18835 90102\n40651 57479\n8566 44680\n8559 54586\n78021 83848\n83135 91116\n4176 50912\n2062 79167\n5128 77835\n20781 61419\n68465 76959\n38173 70777\n1265 96417\n18600 74090\n31913 34052\n86648 96649\n22549 94065\n36216 50285\n35782 87250\n25321 62525\n1236 55797\n24903 63900\n61325 97272\n7965 82669\n21614 26351\n5660 33523\n27401 61344\n35830 68974\n43501 55692\n22230 59876\n36369 64678\n25563 68900\n59048 72324\n67664 90371\n26714 92189\n13171 95511\n68663 94186\n2906 16492\n17090 70016\n10614 63383\n19457 64592\n41481 70161\n29146 53202\n90214 92443\n36596 53667\n27692 88648\n24308 52880\n51200 60431\n60161 60477\n45645 88740\n65513 95965\n44565 56333\n24465 72425\n34636 41669\n57164 99334\n44602 73429\n87805 95244\n52603 67764\n13899 67669\n41880 78404\n50752 84950\n79664 84139\n20189 78543\n46786 52113\n8405 67894\n40940 83370\n55385 72388\n67916 94712\n30792 43244\n5149 38327\n57508 74459\n49966 55280\n54526 85238\n11365 38055\n22981 97633\n9749 65073\n20591 37662\n63473 75400\n13551 60064\n67400 70234\n39596 91903\n9205 74090\n6375 40557\n89919 93955\n19758 21154\n35347 86885\n43804 86704\n40622 43275\n2524 21911\n17137 93648\n23261 43945\n33628 83253\n44568 76832\n81323 93697\n27631 60513\n24425 51940\n27754 67158\n16496 83472\n11851 44601\n36118 66493\n10187 28103\n1226 50896\n21973 61477\n35122 59328\n30715 70539\n62338 79890\n15756 76902\n4758 99859\n2849 7708\n14267 89267\n68394 86797\n5808 96565\n11434 55295\n27611 58163\n62524 91422\n62396 69493\n23524 97650\n70422 83536\n74767 82286\n55242 68761\n31398 76977\n36628 74057\n5641 95948\n53051 65714\n30108 79326\n10264 43301\n51800 83405\n29298 54681\n31992 81867\n11485 35643\n25559 36073\n6403 93985\n71813 81836\n22303 79220\n11573 84753\n20826 37892\n13158 43548\n76666 89150\n27595 61588\n37060 89124\n45691 87265\n158 52391\n33984 76778\n24973 50005\n72388 95655\n45670 96268\n42328 48566\n17122 76826\n14261 99255\n64670 96632\n11581 64697\n27037 55088\n43363 44012\n1714 38411\n26072 86552\n27979 92554\n48534 81035\n18968 32843\n21078 63131\n23200 46565\n1269 84149\n17724 57603\n9857 87986\n19135 21716\n59207 79438\n2098 51560\n82014 89419\n16414 94780\n22171 94091\n7094 96860\n54315 82505\n77700 78836\n6403 98869\n15677 42205\n49608 79988\n7841 58234\n30008 99658\n36646 74690\n32601 38153\n49501 60758\n22282 23133\n10950 83908\n3803 99469\n7084 46533\n26491 98092\n10790 15591\n69474 95523\n36813 94139\n13754 50486\n28937 51663\n54595 91168\n14602 52990\n3904 10806\n3003 19882\n11903 59823\n21449 67083\n39302 46051\n67625 86291\n25776 90009\n78426 82957\n46956 97468\n60544 76020\n39038 66326\n31499 71130\n8453 89461\n55721 62679\n63157 98854\n5636 46445\n14358 82342\n64542 97341\n32631 80586\n9431 41597\n16680 54700\n73650 99866\n28757 71980\n1808 65519\n51540 88221\n23725 47293\n12951 29366\n9700 18249\n38530 89015\n2643 87690\n74123 78722\n62221 74231\n7501 17538\n4667 89816\n51130 60811\n38019 61697\n33655 33806\n89988 99003\n3017 24092\n45924 56591\n48466 84047\n27965 72168\n6498 29135\n16632 78553\n25316 50055\n50273 59934\n3464 67400\n11020 37648\n45060 55956\n47876 88292\n61822 76415\n5732 6582\n70158 80968\n51855 70815\n81874 90778\n29292 91167\n79284 81286\n82487 85314\n11550 94689\n48181 52935\n18242 51382\n16156 59998\n85032 87141\n50343 55674\n88064 91850\n43591 72176\n29725 31203\n37605 98339\n6890 70705\n9342 37386\n28329 92620\n16591 93890\n68526 85618\n63664 77610\n55595 89940\n21522 75943\n24951 46033\n45347 99275\n10563 48785\n72669 79780\n37476 80347\n62029 93724\n34423 54051\n62500 86090\n16870 45051\n3677 16326\n17895 54779\n89210 96364\n8443 82582\n43571 90035\n52223 53881\n74636 76927\n53517 76013\n56088 61551\n74564 75107\n2857 21539\n32580 53064\n62344 92733\n53494 54129\n52150 66675\n1601 19062\n23847 96567\n48265 58001\n61505 99661\n6956 64199\n20684 33381\n55917 88455\n424 90929\n58917 69804\n10376 21702\n22868 93014\n35797 68537\n5936 7266\n43701 83392\n62343 74709\n72857 90090\n2734 25253\n54497 95572\n30288 51151\n23904 30443\n23979 26707\n46342 70943\n6158 78546\n73498 99103\n77985 82923\n68033 85586\n80739 82711\n25479 60768\n64100 83564\n26723 66144\n24497 98618\n16950 99949\n6765 76931\n65131 82966\n62979 81634\n27871 46442\n14565 87420\n31294 50199\n5966 82447\n19530 53776\n5759 42648\n5882 39077\n3954 56816\n10506 91319\n44044 71370\n6135 84346\n11799 95567\n61282 95424\n52868 54750\n24851 90465\n68234 88841\n16540 20883\n9437 90604\n85449 93877\n19412 19465\n34794 38804\n52336 53154\n97278 98122\n75871 92123\n25756 83022\n12332 53248\n46210 66388\n42994 70959\n48646 55553\n29945 72792\n27350 93321\n53629 54266\n56063 72286\n59020 65264\n40240 98767\n38659 80241\n16095 39007\n20957 32587\n37829 83939\n51572 84222\n36312 74244\n72695 84939\n29081 92997\n7806 51845\n67830 76426\n59853 88690\n51781 81940\n58468 82137\n28552 45979\n55313 85430\n43330 93791\n37189 85421\n50896 70347\n49121 76077\n49865 54293\n21968 26666\n51999 88797\n32574 99713\n33421 82958\n7016 90423\n9503 67416\n56756 59981\n18296 52343\n16987 29713\n15783 91865\n42215 89871\n13879 15263\n65532 96680\n81322 96233\n9718 13982\n1843 67701\n17648 82951\n19505 88880\n4900 54556\n10154 31944\n69140 95560\n31514 58594\n14705 32121\n7004 55281\n35015 48860\n16143 40520\n31594 88469\n27243 39661\n27777 68075\n82074 92690\n64861 91306\n36711 59494\n3360 39143\n59775 94584\n52035 60059\n10911 32954\n15560 77069\n67570 84431\n614 25190\n1520 32373\n2413 75980\n39076 87047\n6968 39656\n16755 73843\n29779 44051\n74799 84114\n41790 45001\n10682 15436\n5715 90910\n17606 91350\n40684 42175\n35412 68216\n48122 89088\n22237 32574\n48574 94925\n73348 77357\n39899 64584\n6225 25812\n73417 89054\n756 65859\n12100 76408\n53501 85558\n49538 78446\n67841 69555\n47473 78877\n57056 80976\n50246 65092\n9548 32466\n23409 94280\n30741 58063\n11342 17547\n33217 54222\n83282 91830\n21384 75711\n7022 75980\n58168 60207\n29537 31304\n1451 84931\n91093 99113\n4821 45344\n61528 75782\n63191 81192\n32909 66092\n34102 53531\n72262 97853\n38919 62846\n25581 79053\n74729 91185\n22801 23207\n28714 95264\n75047 78475\n51252 81573\n63214 99730\n33621 70684\n53739 56597\n2732 97795\n59055 82224\n49161 93843\n12699 98338\n39853 54547\n39901 71330\n47838 68719\n61708 74866\n21997 68234\n74312 83895\n15558 47471\n22915 96532\n5263 77030\n14517 20608\n7753 54424\n10925 94118\n6722 93391\n8538 72527\n4983 81643\n73589 74255\n2957 92105\n37082 80861\n3101 79448\n59914 73954\n9029 13844\n312 75350\n86004 92963\n65299 70602\n14485 84794\n19752 78087\n4178 15950\n60377 84555\n2437 13856\n3630 49934\n40742 60627\n35907 83477\n52138 85599\n87018 96718\n8319 92780\n25149 64441\n10041 75530\n48261 64692\n17742 51838\n26165 29214\n30228 43505\n32085 94673\n75043 93715\n1960 80585\n28991 39792\n1376 60424\n5205 32801\n78257 91565\n34299 84046\n49808 57896\n26453 54103\n62660 80878\n22627 74625\n71569 71886\n5468 35025\n57823 85139\n62546 79424\n57337 98073\n41859 70437\n6403 85608\n84221 92704\n3 62521\n87372 91478\n3078 63983\n73677 90559\n62725 70723\n30597 52470\n670 68203\n10866 39571\n2442 33914\n33250 40021\n72147 75045\n52878 85681\n20143 67068\n11690 54893\n29671 63600\n18344 21108\n42090 96280\n54594 93933\n75849 87643\n45924 85699\n51457 81920\n42297 79717\n37263 87481\n20998 80092\n10222 54910\n77782 85527\n6926 60407\n13484 79667\n52236 92710\n48950 62372\n50079 72605\n52389 77017\n45317 94695\n47110 50308\n62733 63396\n22591 66387\n32210 45097\n36831 93633\n66547 98980\n20092 49705\n23099 34864\n18068 43215\n33177 54648\n13431 83992\n35991 38716\n31077 67463\n12318 94861\n8620 19020\n7251 72859\n73554 77951\n81875 96886\n37579 49217\n23164 34871\n71882 85420\n57287 96033\n53789 53871\n58138 79991\n60075 68184\n56910 75255\n6885 88593\n40849 92937\n9509 72545\n15195 88354\n11053 49904\n14801 80051\n25061 83061\n11495 92121\n2497 19486\n73253 86196\n5027 95946\n38458 70637\n32236 58785\n10092 31755\n51992 76049\n7634 49231\n2330 67465\n47965 84709\n25653 86314\n43955 47277\n6382 66106\n67424 93550\n12969 18173\n56064 99256\n9851 30278\n52521 96777\n42045 57422\n7430 98770\n43342 84714\n12280 87827\n48494 49859\n4239 73782\n14928 54602\n70634 93905\n40491 76919\n34964 35125\n48861 74331\n20439 40781\n81552 91758\n73652 78282\n49817 72232\n56593 66566\n41156 99116\n74905 99824\n82429 89098\n9421 40213\n46577 56466\n54503 63952\n2637 78615\n13675 30611\n13213 48783\n44343 60976\n3156 99725\n53947 74435\n40940 90643\n15047 44806\n47926 53598\n34254 59625\n34319 97948\n84744 87789\n17589 62533\n39580 77696\n6699 57511\n20950 50119\n30279 57132\n76367 88177\n19290 31064\n10849 53283\n98149 98817\n4790 7085\n3369 78295\n22844 46010\n22989 63690\n12431 29912\n7865 82792\n21378 91178\n3944 48832\n39613 87463\n73345 95528\n49208 73834\n32876 33806\n17914 21631\n23558 68088\n54653 66413\n12098 81834\n76390 89778\n40347 94598\n29067 57371\n74326 79423\n30361 37296\n63420 75289\n45969 89485\n18951 40100\n33338 80595\n14084 39647\n14251 87983\n144 68773\n18748 18914\n10656 60817\n1074 46683\n132 2636\n1830 64731\n31439 56718\n25724 77615\n1117 38612\n9413 51147\n19035 24922\n74419 88089\n54130 65432\n55230 73592\n70750 90732\n50262 88670\n25051 93996\n17340 50119\n37247 69228\n13911 61087\n61782 84550\n12221 69563\n8252 45175\n17117 96942\n3396 77059\n30274 31385\n12999 23996\n50521 96736\n53119 94715\n31711 37128\n51802 62111\n54360 65220\n29585 47855\n46311 48352\n45340 81827\n47130 63669\n11338 93513\n25558 33293\n3689 92904\n46098 79977\n62099 89764\n40281 47132\n22100 45229\n212 34882\n14143 27463\n33769 57946\n2340 8237\n45692 58832\n37034 53806\n9228 15157\n64986 98957\n17587 45942\n42165 71984\n62938 79592\n56177 94732\n52122 91530\n16231 73042\n56894 60873\n75517 76980\n58668 87938\n31595 79890\n68690 69796\n9327 29137\n96228 98892\n7695 15791\n23390 70286\n58572 67590\n30194 60292\n79531 84605\n34331 39430\n8950 60339\n24453 57655\n41345 58946\n11200 43869\n31488 45930\n25346 40662\n11080 25655\n57736 78751\n3084 9466\n15237 87053\n54021 80650\n32876 76961\n3651 79590\n33145 35005\n17938 41763\n10016 58049\n23273 38349\n73036 75395\n25404 53285\n16805 62096\n21695 42902\n13073 28614\n261 59922\n4163 48032\n9991 60090\n26654 58211\n10497 17184\n65007 72663\n25616 67109\n179 34303\n47746 64120\n69528 75639\n70199 99894\n6195 31123\n23865 39260\n4086 63045\n8870 75228\n64770 71255\n8270 31379\n27312 47487\n42875 53174\n6597 96074\n6755 8549\n3127 87839\n47587 96124\n28432 74573\n65178 77933\n246 30575\n6997 77390\n6789 32743\n40581 85715\n34887 82754\n68291 82643\n53757 58302\n47599 54923\n71182 94659\n3490 27911\n15061 78147\n22180 73359\n53647 74844\n39176 65804\n16158 24343\n46075 53101\n42417 66461\n2619 94437\n32064 45948\n46948 55236\n27556 90324\n11789 14988\n65534 79510\n61654 94269\n3080 32781\n20784 39091\n15817 41723\n20425 55073\n24040 46389\n5913 47542\n11008 73140\n53016 61891\n8768 14195\n4179 89640\n3817 13841\n39635 64387\n54987 93597\n58581 90210\n50991 82210\n27706 73779\n12032 51836\n74942 91756\n2004 74028\n18386 45656\n22186 41095\n47799 65169\n59102 73881\n48544 73407\n3741 61326\n72300 93103\n31761 85554\n5025 95204\n26065 94986\n74619 94291\n25244 73879\n52524 63339\n3759 90467\n10627 30092\n971 80674\n60454 68242\n35188 67779\n90068 94122\n18689 88643\n9514 62597\n55850 66843\n22828 31280\n21865 29949\n43453 78230\n4777 6662\n43335 77046\n30622 39118\n56161 90999\n1487 68119\n38767 89388\n65551 79003\n44825 46925\n6453 38815\n3547 81945\n61400 81889\n27609 80520\n11927 69813\n18016 35810\n29235 83105\n4616 85733\n22750 64484\n15714 39838\n82366 92967\n68266 92472\n21439 96469\n10763 90434\n68034 91732\n36196 86397\n51055 88735\n75602 97033\n19401 84881\n42022 74260\n16086 86509\n12326 31343\n12869 32151\n68306 88417\n7708 8832\n60792 82160\n9003 99458\n68603 98499\n11452 11900\n2864 33501\n16705 33667\n63677 80240\n44162 98323\n40888 61111\n30128 98428\n22370 69581\n5771 73030\n70978 94023\n61977 77296\n12963 64337\n32070 89160\n23431 46208\n23135 77586\n91876 96062\n65926 98587\n69221 93164\n3211 20622\n58290 87377\n25076 64244\n57264 99619\n31909 91437\n49305 80652\n40300 78609\n7967 36758\n40016 83475\n12189 27465\n21197 80781\n4482 27923\n142 3533\n5150 19663\n7049 17440\n21040 41823\n1244 5983\n33265 81327\n21010 32767\n91582 96456\n49444 77934\n14617 62923\n64714 97197\n6339 90701\n56336 58013\n43585 82298\n48814 53378\n83626 99930\n15441 71907\n2021 52475\n79006 81380\n9701 52016\n32768 77484\n17995 53522\n6328 68093\n56579 74456\n70809 92910\n63032 94683\n44504 86068\n43831 52468\n31268 33022\n49438 78889\n37416 63907\n60104 99786\n37300 82775\n57683 65873\n86427 91094\n66693 84929\n24846 89986\n71237 72723\n647 77495\n40268 71870\n2716 9609\n28925 34519\n36117 39684\n14247 80353\n71480 96710\n17497 18414\n56507 58696\n48399 53394\n31883 54630\n49330 76618\n12383 26668\n34190 46457\n40839 62635\n36370 85368\n9265 96419\n4227 26354\n20824 71490\n5645 43125\n12641 16775\n36837 54012\n85409 95192\n18827 38759\n33297 62440\n16191 44893\n3635 42619\n16725 83113\n54353 99343\n17943 98834\n12813 69110\n27042 58944\n71221 74265\n34992 94376\n11788 18605\n22546 44849\n3193 58111\n1632 66371\n719 12519\n18866 97233\n57522 70247\n26148 86644\n26006 98827\n9397 87416\n70485 94668\n4789 26696\n12088 70109\n42050 75673\n1315 93051\n16493 85314\n17129 93054\n61278 71425\n13582 42334\n6113 37151\n50452 55032\n4461 42329\n57385 60520\n57124 81725\n6526 74089\n56775 70094\n13804 23336\n84234 92377\n26641 43375\n32775 79875\n66844 93577\n8828 99615\n90760 90843\n4964 83635\n39452 64341\n13110 16716\n84132 98153\n13424 75870\n62013 90567\n3407 39252\n30687 58295\n3787 87546\n13550 60030\n17492 90994\n80958 97924\n28769 88678\n31720 68572\n47604 98436\n58128 81395\n8788 8868\n1825 54823\n15343 39646\n26763 52225\n25416 95110\n16342 31544\n45319 50531\n90949 98741\n44510 72609\n11810 36943\n42802 87876\n2315 57094\n61876 76841\n3703 47131\n11537 41991\n54024 80372\n15303 53815\n54706 79551\n19698 21178\n23085 63434\n14267 72297\n24828 86112\n39999 75430\n15937 19709\n43994 67058\n28243 88893\n67795 80806\n46234 59160\n56913 70272\n23241 96348\n89397 91105\n14347 90838\n19397 47980\n41276 81756\n10076 98893\n57726 96299\n27761 76231\n74265 91417\n7970 20042\n8662 98112\n41433 76777\n27935 65832\n44650 72535\n6439 32338\n4529 27467\n3211 72445\n29091 43474\n1227 23404\n67342 74436\n21695 68365\n41716 85191\n27751 60709\n22908 78886\n13601 14035\n66401 71799\n11741 69061\n43466 66968\n5898 12048\n68366 84725\n38628 81547\n23500 50699\n53161 89382\n17042 25509\n22152 47762\n6866 28653\n36269 60438\n21641 31413\n57168 98375\n55779 67166\n16647 46374\n40175 49584\n10859 35307\n64729 68799\n26889 85581\n53343 63458\n12664 18403\n15033 29681\n18710 61352\n4822 34806\n50014 75288\n19169 24990\n57133 89352\n6324 48135\n19864 64028\n21729 61021\n15578 23721\n4991 58452\n72718 74156\n7597 51927\n28039 77466\n21805 58385\n40863 76682\n646 45589\n49532 77150\n12261 53973\n10930 39440\n72000 85434\n18838 75122\n43749 44495\n5259 12270\n13036 51771\n1695 55927\n30071 61858\n21756 91269\n20344 58892\n29634 35614\n17782 84889\n22496 37860\n36402 69627\n4363 98446\n40071 84337\n59902 64132\n9785 85682\n9648 32138\n6243 44788\n10487 76578\n8478 91572\n32645 36508\n5943 53162\n22425 93452\n4146 67175\n80265 92588\n71322 78879\n13461 39289\n62817 72502\n9569 60815\n38442 46922\n36413 44762\n13436 41081\n54576 96445\n29565 54083\n37496 91772\n45249 67544\n6689 30558\n69599 87053\n70034 87638\n9659 80027\n67250 72352\n21993 81326\n22781 35221\n61923 67892\n8327 53104\n35088 73770\n38868 57773\n63601 96798\n45299 91673\n16917 93420\n61108 93248\n7587 51394\n17605 54087\n75913 88356\n63164 98006\n36916 71210\n75952 99279\n43990 61008\n4197 29593\n1906 56808\n27305 76342\n55480 83446\n21086 71675\n35722 96728\n80481 94194\n90189 93205\n11418 65367\n76289 88649\n19265 47006\n84899 96594\n89541 92314\n9227 95902\n25702 29109\n1561 71011\n11449 67750\n1111 96327\n42757 74812\n4543 66282\n11932 64791\n34557 55895\n30253 33927\n13127 27686\n12164 46206\n6573 94458\n34295 40686\n59327 67775\n48935 81855\n9906 29254\n62727 84403\n27809 86718\n91894 98767\n9874 73129\n4442 40692\n615 93678\n30069 52591\n28043 50025\n18422 56264\n6932 94349\n15040 72088\n22490 83868\n9549 21600\n8089 58454\n34683 79592\n25681 72234\n58694 79109\n5800 33490\n34963 44970\n50505 94030\n20686 57958\n31548 47167\n48226 84772\n86056 97907\n93269 99290\n2009 33948\n19265 25909\n15513 95497\n30779 74904\n35313 39854\n30653 56549\n76343 89609\n84840 92194\n14698 40213\n55036 78347\n85306 85344\n5238 29462\n17284 53005\n4119 61281\n36099 96733\n18350 77284\n53447 74372\n30579 38128\n30472 87355\n50243 97056\n55259 72406\n6094 73364\n55841 93336\n65398 99134\n34347 97425\n8789 53517\n33227 55302\n13915 96798\n4650 20942\n61641 78061\n41568 74514\n1132 38338\n20763 55072\n55960 92711\n53087 87734\n41813 52533\n11544 61114\n25398 85893\n2859 30977\n96231 97783\n28107 72179\n19037 77783\n13377 67702\n11383 82638\n31904 35520\n18587 55219\n13811 39840\n66305 81590\n63320 95439\n42882 46218\n41407 90503\n749 23099\n42408 57642\n1308 16125\n10223 55032\n17719 96563\n29974 59017\n24696 86107\n37454 74912\n11990 62418\n45766 98610\n49510 88221\n27654 78235\n24961 68931\n63100 91949\n5876 87760\n22081 87222\n14278 64107\n65868 89348\n66377 69849\n60400 79378\n62461 86014\n6540 16658\n6781 22454\n839 19169\n4201 99866\n54274 95016\n32304 65772\n1043 11731\n25388 92018\n39507 63915\n24530 93373\n48647 99739\n78377 96385\n32403 69585\n16046 30244\n49443 72394\n21566 90571\n33353 36022\n37218 46374\n35979 89478\n6800 49699\n38827 56973\n12418 63173\n73840 97035\n9185 24893\n15532 39972\n20809 44057\n64264 72932\n39973 81885\n47904 50753\n2860 81962\n36236 82053\n31724 67539\n64472 85129\n2153 14276\n1087 34077\n94038 95241\n54041 96559\n40208 98380\n23547 79200\n45318 87313\n44142 85752\n23198 74307\n9197 78241\n24832 45440\n29462 81906\n961 32109\n66844 92920\n43848 79903\n26641 46476\n17163 29422\n26685 39442\n41398 46337\n20309 49439\n21178 40110\n47171 65838\n18789 66762\n18839 21270\n30067 54770\n5904 27924\n5022 12420\n47759 70090\n92583 99276\n14788 17084\n47437 58486\n13638 88611\n19486 85943\n7534 40224\n92093 98694\n54314 73320\n48409 71345\n5585 66166\n22424 24857\n28091 99992\n1880 2680\n41253 64151\n37916 63830\n3943 14712\n3282 10910\n40616 98138\n15350 65746\n21387 63669\n25191 98833\n27113 29466\n59985 88089\n69158 84270\n69743 87347\n92213 97233\n35735 66145\n35541 42416\n2592 58504\n28472 32896\n77165 81952\n13162 87753\n11758 42080\n45757 71359\n610 26974\n56604 98070\n2355 51183\n15138 75616\n5667 6738\n83511 91347\n72266 74251\n9892 27941\n17131 59846\n54469 94949\n80031 92174\n35341 36085\n70650 72998\n55827 70504\n19796 43199\n1244 16895\n20016 25035\n4444 94137\n29423 41392\n9140 9180\n18637 81811\n29324 43147\n12167 65252\n88691 93108\n48195 59301\n17365 84929\n43530 76284\n22706 89730\n27351 38253\n43920 92954\n48940 79292\n21624 93169\n45906 67580\n1854 89969\n61359 65465\n41453 68781\n10038 20969\n3430 5830\n73859 99735\n42710 93984\n25563 79156\n15315 45512\n11496 41743\n27165 84971\n9147 27807\n12403 49802\n42775 70791\n47240 76529\n13459 57395\n30958 99681\n16402 40646\n32593 58135\n45916 48153\n7817 74099\n2947 13119\n55470 94571\n7215 65744\n4288 24800\n5354 43711\n49898 96833\n33039 47926\n62013 79337\n80901 83013\n25759 74795\n92281 94702\n19248 72629\n47909 88097\n4668 54467\n10166 34358\n17756 99314\n4045 12071\n72288 92012\n32829 76061\n65446 69891\n42417 62654\n24457 74230\n53684 66872\n41041 83253\n44986 96477\n24311 24639\n2233 78095\n66020 77736\n26999 61147\n7938 14292\n16594 56362\n32969 64522\n3407 20861\n64251 90344\n11607 82937\n23794 98516\n59666 76203\n19114 43387\n51368 72098\n9678 43266\n85947 96092\n6442 59759\n19773 82095\n11041 72224\n45679 75230\n7011 14588\n45427 47463\n29801 94397\n1972 24596\n29248 94112\n73584 84988\n61320 87757\n20166 68037\n65976 82868\n69406 80354\n68934 93159\n9512 71680\n44466 72666\n11977 86750\n74739 92903\n54489 79103\n1187 57048\n69733 72309\n10811 89776\n25580 58323\n27564 98620\n20610 71189\n22267 30033\n5303 67966\n61410 72524\n37396 46236\n2318 8021\n69638 85405\n7265 57140\n26974 49303\n16160 95078\n34428 78906\n10846 84242\n22025 47271\n52392 68007\n56826 65416\n39116 74546\n9165 80964\n50419 76862\n35469 97456\n7356 88811\n6622 35861\n19911 78554\n60320 77293\n1234 68483\n9697 23165\n30185 37818\n38584 63644\n9866 51072\n76591 93379\n10378 32891\n59165 71225\n32595 47355\n49144 87952\n23383 89340\n32967 61446\n28364 98507\n9916 82218\n63844 92748\n59884 89241\n35864 68952\n3014 39752\n34917 55548\n74873 92487\n8758 32014\n80589 89373\n471 50516\n54960 91875\n41747 44860\n56304 86772\n19478 66939\n37268 66173\n68435 72341\n49342 51154\n42065 75010\n33173 38458\n214 93955\n33180 80112\n7840 65564\n24308 38683\n64301 89226\n22740 71552\n89874 99097\n8480 13707\n7380 24953\n232 25610\n44849 80607\n3371 7032\n11533 52100\n55792 72168\n76574 95055\n80748 83576\n379 54721\n21293 50661\n15987 80241\n18588 67165\n9302 11256\n51826 66289\n52305 79897\n45277 84148\n35839 67114\n68320 74036\n29192 46084\n45664 86458\n45509 68252\n62682 67898\n15378 81071\n17806 70130\n27303 46877\n54728 88839\n74202 84093\n24888 27065\n12296 51221\n11417 69412\n8499 69616\n33317 96827\n36000 49548\n4555 19059\n8817 66550\n38952 56152\n20906 61813\n21699 49641\n2043 7273\n332 59910\n57367 98050\n62064 72859\n27823 93284\n34657 43549\n24482 58265\n8222 89474\n14385 41585\n30797 55891\n82710 89694\n14647 76565\n13765 85251\n12918 56779\n13573 26575\n1246 26839\n2592 73213\n22059 96023\n21253 87717\n9673 80698\n92345 96152\n15651 67640\n33673 75626\n74693 82583\n2565 84313\n50326 70657\n17655 19076\n5052 93633\n12681 62731\n26525 28619\n82816 89514\n4680 47299\n50238 92365\n18414 41378\n17995 18898\n1248 54171\n87102 92377\n52319 87455\n38211 63070\n66899 85783\n26581 52760\n22048 37829\n48488 75100\n1271 85563\n37041 51443\n11524 40062\n36167 89719\n38816 60475\n31455 92980\n71920 76380\n35116 84731\n60100 98640\n25139 28221\n16012 47502\n36155 91670\n14258 76588\n24314 44850\n29022 93712\n27497 61098\n16488 78682\n16088 38971\n1300 13315\n6762 57611\n66879 76423\n1180 41381\n42081 90277\n75337 78586\n82862 86717\n50066 71490\n30271 84778\n47572 85502\n2580 5417\n13971 99791\n23860 25810\n19488 63940\n12798 16603\n27797 32560\n10552 71087\n39744 85201\n57144 85819\n40792 51625\n40234 67007\n55069 71968\n93018 94394\n69237 86070\n15779 79745\n22170 36003\n13584 34281\n60091 97699\n12576 14547\n34045 38146\n9053 24166\n39435 57223\n53009 73687\n61446 62939\n6504 17104\n43795 94490\n89417 95252\n38873 48105\n17493 64166\n69246 74626\n26497 69413\n10764 78688\n24040 70480\n50309 56233\n14480 59037\n26747 55624\n78006 97148\n69145 74890\n19563 97408\n84620 89252\n22977 94363\n36867 84063\n51370 58678\n22995 58848\n24437 65101\n825 24195\n35189 57488\n35863 63689\n2989 81703\n54057 56343\n20951 86281\n18386 45551\n45928 74054\n15161 33833\n7474 35749\n901 47803\n28370 97148\n6317 16824\n22960 28432\n24723 60997\n80618 92059\n21218 54084\n1685 3569\n57810 58296\n35947 87436\n52779 80482\n6140 10997\n87441 98455\n57566 99502\n47230 91913\n54778 89257\n21529 43062\n16691 86561\n13461 67130\n34060 42043\n34034 52333\n34186 52833\n12779 54231\n57250 64138\n13558 68332\n6504 88697\n33171 77577\n15347 78573\n33772 59124\n63413 89339\n12405 88655\n15322 39680\n70637 98528\n8985 10971\n83539 96383\n5845 18614\n6524 60138\n69063 88980\n35313 61749\n15497 22175\n69499 95136\n13472 41893\n79426 91876\n8748 69709\n57207 57816\n16507 91895\n1701 87708\n1911 53676\n45853 99319\n66400 99462\n22698 86387\n2081 55881\n75034 95865\n190 20693\n1093 71590\n50899 72834\n31666 96901\n39721 82076\n72142 72861\n13205 37756\n3061 26109\n48872 83361\n16953 34890\n13869 97621\n28291 30031\n53326 85009\n5811 47255\n9 87084\n42815 98839\n33101 57437\n56140 98041\n688 54796\n22053 58328\n1379 87557\n70863 72435\n9524 39802\n6298 86850\n63211 71911\n42813 86984\n24127 83576\n49859 90602\n2484 64430\n854 10054\n32038 40611\n12638 25207\n61480 86627\n7823 91490\n67112 74549\n37849 95630\n76510 79415\n31016 39631\n46091 70714\n24769 90117\n43113 85987\n76674 77452\n54831 87058\n20625 73560\n17830 88554\n10178 81719\n17827 29580\n77437 90411\n2045 38626\n59189 78624\n13251 75452\n12492 42254\n15477 24251\n34025 47757\n2001 99109\n560 27301\n6983 8772\n5818 22102\n680 59943\n162 65005\n21402 64126\n11977 39281\n36237 59918\n6730 32232\n57703 66067\n33204 39818\n16981 38649\n39023 79737\n34801 94276\n15114 77072\n37047 97521\n63211 68046\n82900 84127\n3806 16571\n22814 68584\n41657 74398\n31045 72495\n11444 68862\n2117 85319\n33786 49168\n65116 86770\n17278 51181\n45346 51293\n25387 39601\n13150 29965\n4392 70901\n60002 85766\n28681 31730\n79759 91260\n36882 44557\n38114 75500\n4796 44965\n32483 68446\n49844 84565\n8869 88732\n75676 90637\n8788 16396\n31637 66443\n7581 33583\n49690 52345\n65334 66555\n50678 53349\n10275 26799\n9319 12615\n40926 97413\n13803 87751\n54963 74201\n22046 98530\n27486 52172\n32255 97238\n7910 76769\n1957 90630\n51217 92342\n21511 72608\n30298 39388\n74539 77352\n1807 38513\n18370 79289\n10730 18531\n67627 97062\n8022 72158\n37698 78226\n34259 69895\n6960 15149\n9185 38107\n67770 93279\n49382 73360\n57130 79200\n11179 43492\n11296 16806\n49613 78862\n69837 84416\n7699 10104\n12860 22566\n62698 75930\n1309 95615\n675 13948\n458 79157\n8402 82673\n37602 63663\n49967 89580\n46727 60596\n30124 54783\n9209 59258\n18088 28860\n78344 82944\n51199 53886\n22725 99605\n79698 91169\n66131 77107\n40031 75385\n23628 49762\n37923 68114\n2196 48530\n874 73941\n33028 39639\n7110 82524\n67532 70895\n8310 70890\n17541 36528\n24054 39002\n40095 84550\n4419 64702\n37577 58347\n80666 97636\n38327 92355\n23705 45950\n17496 53669\n7535 54341\n27821 93395\n30071 83738\n60224 81618\n3905 22956\n587 62723\n13121 61090\n33957 92553\n19342 20518\n16812 97485\n86374 89680\n61380 87082\n86855 87924\n3348 71799\n897 46638\n20070 87320\n23077 84044\n83956 93284\n50716 75322\n3234 86325\n16125 17654\n29606 31693\n96255 98201\n22507 74985\n38600 83108\n52533 64747\n83645 98318\n2629 53240\n27715 46280\n19090 76671\n3324 31737\n9901 42351\n53712 71632\n42378 88868\n22664 91242\n79985 92998\n260 25280\n46356 83051\n39352 48228\n62528 91778\n8494 63385\n1229 55314\n16145 57842\n5974 52375\n12982 20662\n49862 57950\n30467 87798\n36126 94679\n59946 61785\n17256 75954\n25293 46232\n12376 99464\n62782 64882\n21412 98841\n2616 7869\n10665 83537\n27702 99339\n27619 61535\n22727 42900\n35404 88609\n29946 65770\n24995 95573\n64510 67411\n6579 91375\n15438 49269\n66261 73174\n49828 99734\n29833 83170\n4804 15091\n63168 97542\n2150 95933\n715 15785\n41056 75935\n26493 26520\n17104 90673\n9186 84912\n51907 92453\n82614 95676\n6305 7024\n14779 82711\n22222 82508\n24416 27533\n15082 33927\n53954 54018\n18485 82242\n78640 90335\n38903 88991\n64213 72527\n14577 85821\n24822 57710\n27324 63212\n13725 30938\n11905 56792\n33770 84522\n86524 89458\n41706 53944\n175 14901\n54867 89995\n39685 87088\n37388 70512\n5842 71305\n39214 58990\n19498 46854\n19816 68472\n67138 95371\n6090 44925\n21186 31882\n50004 66352\n66758 69034\n61398 96338\n26035 41116\n33882 50056\n33026 85047\n30802 52953\n23896 73838\n22527 74046\n30641 84895\n11100 13847\n12152 82051\n7048 32612\n48848 74309\n37821 98541\n40097 51289\n51469 84621\n406 6289\n20992 38471\n45609 79048\n36556 69310\n48828 95624\n58692 78128\n9238 60605\n41247 98397\n1402 51620\n19574 86059\n19584 86285\n2978 79238\n32279 76409\n45358 66424\n32743 78887\n2953 68825\n35925 44444\n10293 97148\n11879 43127\n58590 91595\n15644 40765\n65181 83877\n7060 58478\n27432 84850\n92410 98045\n64334 94163\n35984 57842\n79869 95303\n65117 79369\n76396 98706\n21143 77121\n56388 61757\n59284 87351\n21103 87291\n32885 76105\n15100 54028\n89121 98791\n14317 94289\n14000 44779\n38975 57914\n52909 98324\n33236 56370\n11236 86405\n52661 73426\n24471 50116\n3940 77815\n57293 69812\n52807 78994\n44255 72171\n22058 53724\n29807 98064\n14326 35748\n33104 39175\n13102 20365\n82384 89873\n25475 41003\n40022 91845\n48514 94954\n2030 55362\n66159 97026\n12451 46670\n75193 89537\n30430 63256\n29988 52595\n957 81598\n13992 75376\n31664 45888\n93847 94088\n6123 65972\n27464 74912\n53795 70951\n8829 21873\n2931 31574\n27593 37021\n51697 68258\n18284 21296\n662 34512\n72505 77721\n18842 34086\n19649 56483\n42167 77077\n20934 94955\n4041 92703\n2740 32606\n68514 75549\n52052 92843\n12843 85363\n15760 29113\n56450 86952\n32796 93789\n9843 73832\n55076 73976\n27663 37612\n52104 55654\n39310 68942\n31619 88696\n17573 42954\n40280 95934\n5730 37296\n11 80279\n63846 84658\n59148 92569\n629 96783\n17462 33880\n12592 92692\n65332 78205\n75722 99534\n37814 92606\n37597 64258\n60475 83406\n36487 97075\n3557 50353\n34560 61340\n18630 92768\n57906 59441\n15220 27255\n76558 94423\n26868 42884\n52055 67732\n62350 73005\n21687 65100\n68057 91964\n25065 57271\n35509 90066\n52584 63371\n26018 64094\n30609 43766\n1122 71219\n9626 89389\n32067 54659\n87158 97298\n51894 93564\n69385 80838\n47908 72242\n45987 91991\n2885 74795\n35759 93965\n27712 56673\n5721 45770\n19682 71426\n24665 53943\n73687 85874\n13258 88287\n34585 86901\n380 23692\n730 38197\n34053 43927\n19647 86959\n30866 67857\n76934 92422\n37534 66349\n30197 82711\n42077 48201\n38133 63821\n20208 81451\n21213 50187\n14243 87614\n32156 51562\n16049 76814\n2265 98197\n12732 36919\n21236 31896\n40439 51328\n11645 42507\n24945 92309\n30648 34168\n40064 54388\n40094 64626\n33377 36272\n79718 83420\n71965 93078\n22007 26579\n76389 91403\n52032 90478\n67326 69298\n22162 56336\n20085 45697\n73181 98051\n36494 47473\n18216 31574\n3299 33738\n27988 53257\n52385 82558\n18640 98622\n691 83314\n62069 84554\n18316 61478\n59655 64173\n39962 96907\n7074 80260\n24787 62607\n17282 22942\n62981 97642\n36881 55475\n37584 59717\n47676 89991\n62681 79206\n69229 97580\n10010 45095\n22799 59630\n52064 62637\n44051 46910\n47802 68754\n25947 80847\n17692 44113\n54529 89192\n38253 69657\n16271 95822\n53259 68642\n18069 37406\n4525 18035\n44009 80499\n3865 72273\n40384 48235\n22906 83130\n21476 23737\n13025 21856\n41501 90737\n35849 40067\n3459 58725\n20714 46460\n52816 84981\n14270 81943\n50275 98184\n81289 83161\n15693 23106\n82687 91159\n8738 55461\n42476 99498\n19092 44576\n45182 81251\n56994 95845\n7651 84144\n66813 84436\n61443 87457\n20281 78004\n89017 98124\n37534 61229\n3497 20591\n1521 81329\n20578 23578\n18208 26765\n68786 78102\n54790 86569\n1888 80564\n75651 92506\n7420 93898\n12905 44548\n42447 63087\n62665 98479\n14962 51193\n47464 88714\n12717 17181\n9125 27999\n27710 69036\n54244 71072\n23119 71029\n1487 34243\n18877 68758\n5040 50569\n11310 21147\n52310 96969\n21561 79325\n17849 97796\n37934 48812\n53671 77127\n59042 77392\n69390 85485\n48020 78763\n18932 19960\n9065 52545\n17731 77314\n37664 52103\n5426 69732\n2180 70714\n6977 45324\n635 56960\n14761 72411\n54327 96371\n34165 83499\n29354 62863\n21926 47423\n3403 94174\n10733 82719\n31160 61936\n2072 99548\n23008 27427\n39742 90615\n90968 93525\n22697 76366\n20074 55506\n64096 87364\n35620 44850\n52883 71094\n35663 52692\n9087 15327\n21745 70343\n10311 13900\n28094 98598\n51645 58843\n3232 20444\n50546 55758\n69884 84463\n25093 35264\n52569 99124\n36163 91390\n74730 90399\n11770 55755\n7180 23033\n13861 57581\n10625 68970\n74924 77150\n28636 96928\n16753 20217\n25977 51623\n12827 31049\n83034 84154\n767 26966\n43423 71196\n25039 59956\n11796 64816\n15496 31737\n6396 91305\n31556 69420\n83564 95619\n1339 52284\n54745 65068\n19254 43997\n34455 94994\n45022 73754\n88802 97313\n20300 75564\n27369 29742\n33793 97505\n581 46601\n18084 69503\n15396 99886\n11241 83828\n67061 86064\n2396 99045\n66809 83978\n90806 94163\n8523 65694\n27545 49788\n8403 38409\n36928 87503\n71121 78083\n37174 44698\n8209 10195\n3694 16498\n11075 20951\n12145 15728\n28324 48820\n40847 52964\n10409 45266\n71210 91973\n75307 96445\n84467 97131\n52044 68844\n1972 76350\n11997 88115\n23531 25260\n42847 68374\n2208 14045\n33352 37967\n51910 74334\n19061 76505\n18491 60607\n37049 70213\n17365 33602\n16784 61772\n1748 39107\n12561 53526\n45933 59661\n4153 15162\n6983 98690\n71210 71770\n5926 28425\n9348 86747\n8672 98206\n10855 82895\n12016 22568\n27483 52889\n53325 78199\n75276 87362\n79432 85309\n1195 80434\n6822 79123\n13525 26673\n57773 99694\n55353 97403\n4025 23709\n41031 42444\n43555 90112\n32832 35851\n46927 98810\n8485 86872\n7005 48221\n29548 90575\n63841 80397\n12219 15399\n44930 59477\n24247 75594\n75352 82559\n7156 29004\n64426 88677\n12840 18559\n28057 55451\n54649 71549\n28267 56160\n3749 72965\n4942 60744\n38322 55205\n19155 68942\n12974 86704\n32751 84385\n66208 91597\n44185 94362\n6438 60213\n8477 65294\n31355 72354\n22385 75363\n13336 28283\n6026 7486\n22275 55413\n20346 48827\n1081 31682\n7033 71720\n30384 82556\n36266 39272\n2342 83834\n69320 77649\n32795 51266\n20084 69027\n46437 76243\n49046 56157\n75392 89392\n11193 51239\n41432 90462\n1856 57151\n64196 95351\n67200 93200\n47756 83510\n2262 14326\n16263 72226\n10488 51135\n60587 64356\n42395 99153\n10754 65468\n96049 99342\n47260 96522\n32820 66837\n13958 37046\n5589 98396\n14574 59087\n6525 80543\n11479 22023\n29147 60307\n5421 68219\n19824 40516\n37273 95840\n30484 99613\n17436 84161\n52464 75200\n49470 90636\n37440 65810\n1353 72845\n9711 65727\n52065 72271\n32486 84095\n14297 60456\n52847 75389\n44500 92908\n34921 41375\n54462 59025\n23944 35536\n2505 53423\n72584 79714\n34647 98084\n56439 95714\n561 42029\n48111 74664\n31207 70242\n55806 68846\n20752 95819\n6353 97689\n71663 83835\n58138 98356\n36831 99274\n21853 71953\n33425 52951\n35878 73123\n3412 81311\n34853 62150\n12953 92900\n597 84962\n59989 61871\n62152 90265\n81092 92538\n71682 85234\n16567 94471\n35528 84970\n64649 82081\n25578 85359\n30186 67711\n13369 43672\n56797 98345\n53265 82142\n48604 98397\n12360 30066\n4506 41533\n581 33677\n30308 49425\n35163 55358\n47590 49490\n31994 55659\n76267 81570\n43386 47207\n86214 98940\n47881 52120\n20091 40599\n27555 88072\n5332 92051\n19660 43678\n15056 33322\n4213 20329\n24853 76957\n28000 35694\n7054 40202\n15371 35266\n13620 36998\n17040 17335\n196 18705\n16427 88430\n57791 75153\n30562 93294\n16382 33911\n46601 87608\n36338 51125\n12038 47538\n29148 70672\n51677 64273\n37559 39929\n66196 87786\n81806 98815\n15312 71012\n38271 65119\n65004 81298\n27455 59290\n26311 97505\n42499 76135\n8655 36462\n6780 76389\n26916 89520\n2517 92816\n1501 91968\n37753 48803\n39217 76664\n12273 23608\n98355 99949\n44282 58412\n30909 61672\n76875 90664\n28690 61607\n47508 64851\n53626 81032\n27752 77774\n16554 67643\n21939 90980\n39368 46943\n71250 92422\n62696 78993\n4785 20896\n88341 96852\n47747 52374\n36378 43376\n23638 98151\n37800 86976\n91796 98936\n9811 38944\n17323 89932\n12971 90987\n4503 79513\n53769 94452\n56588 78133\n80736 95565\n3556 75699\n55522 94954\n28219 88465\n41486 70460\n21559 71168\n41467 52135\n32872 91411\n15570 34859\n87453 93360\n82686 96197\n57996 99193\n69023 95501\n10397 53307\n38990 73695\n51017 82806\n9893 54001\n27182 53120\n54611 99652\n88930 89282\n35727 88000\n63435 73721\n34203 63049\n34766 56029\n25585 78234\n55456 69941\n48751 98270\n12807 71344\n43729 51775\n45 32292\n41987 92347\n1975 44658\n77585 84582\n33507 62711\n6416 59411\n73424 90281\n39441 65226\n54211 56384\n16356 80678\n83896 85326\n45266 60688\n7417 62315\n42999 50210\n2921 60528\n2938 72005\n71340 98177\n22961 72809\n21435 86141\n67104 91936\n16713 58859\n57613 88425\n10351 50279\n15797 72966\n18653 43117\n21021 47829\n48607 79590\n33880 69731\n22909 89871\n20302 55151\n75078 93691\n9132 52031\n56899 84757\n40544 92280\n36145 44360\n47725 76534\n27548 41234\n55671 80848\n7768 45471\n24358 34863\n2507 69476\n32158 82941\n14467 52648\n51892 53164\n70163 76969\n49780 74631\n52233 81815\n50909 98203\n279 41557\n34937 99718\n63785 68031\n19222 40787\n5347 16393\n6177 20298\n41372 93235\n74932 97436\n62416 75173\n29274 69130\n2023 7176\n6262 43534\n76132 84034\n39341 85108\n37279 61613\n53902 91995\n39720 93345\n5617 9100\n41309 65735\n15143 79063\n34309 64625\n49528 85847\n51431 95782\n25962 97221\n52254 70333\n78235 90817\n38812 40475\n20374 92792\n66726 93640\n18060 22372\n31393 36807\n35896 98698\n59673 81919\n34067 63618\n76880 97938\n66330 98857\n6507 96507\n71787 99660\n18124 83415\n11548 95737\n40056 55015\n50941 63450\n49718 74386\n32718 33858\n32547 63208\n6661 36432\n47135 56034\n19698 58697\n45351 97398\n9058 11837\n43638 62515\n57489 69850\n60759 70398\n45259 70676\n47905 73209\n34995 44198\n4038 31256\n46305 49152\n94108 99490\n67710 74461\n9359 65037\n77699 99568\n56291 95673\n28928 30155\n21028 24238\n61522 95225\n13731 46368\n1776 98898\n26499 62972\n74173 89417\n10610 38321\n2888 5325\n9624 63753\n29386 69242\n25502 37764\n48330 96190\n36951 81686\n3388 8695\n10909 77991\n41572 51551\n3497 8705\n65479 91144\n1514 85555\n51693 62092\n11719 38094\n60131 81470\n24511 37606\n8203 67936\n56115 69783\n1980 64858\n25891 46143\n21614 83575\n32882 64955\n31254 59037\n24756 68348\n3384 35369\n70998 74449\n47512 83581\n3560 70813\n16911 40921\n15046 55090\n12290 12636\n21484 52566\n14315 57274\n43682 59472\n829 68448\n33152 65729\n46924 70608\n26288 74766\n12643 98847\n28369 82216\n16279 69385\n20813 70456\n1160 55447\n19176 63473\n11484 35479\n50534 64470\n14451 36492\n256 65847\n31464 68140\n24972 72741\n3810 89933\n32929 88208\n59382 70683\n11886 50916\n72674 75330\n45328 90996\n25972 41149\n4891 42738\n6093 55998\n8033 61262\n31268 73559\n20266 75762\n42045 85529\n13450 64718\n61901 93715\n63980 92542\n46909 89243\n20186 51219\n10001 14897\n23530 53241\n22294 55721\n16596 65447\n3021 36867\n11231 23896\n20198 52593\n23278 93121\n40363 66533\n70224 74131\n22279 72050\n26149 76395\n25361 54212\n52251 68840\n47840 63955\n66535 80235\n12498 38947\n28874 42008\n31175 62687\n47274 60913\n81443 98153\n17858 67220\n7971 13521\n32393 86917\n55070 98582\n13182 94044\n22645 24472\n14825 19976\n5638 86313\n45530 88554\n7155 93274\n37062 72593\n26595 49886\n16890 46061\n32144 84193\n8980 63590\n15706 79212\n40862 41456\n28127 61820\n41728 77910\n2434 31427\n9659 68627\n65484 66457\n13985 72347\n54997 95283\n71885 96623\n9031 92756\n49031 80487\n17089 92970\n45277 99663\n21919 37671\n5005 51926\n48549 78912\n52844 80447\n15571 68017\n1779 98828\n54569 82357\n8301 70440\n46080 78836\n24280 95279\n12755 70773\n18918 23459\n76879 85918\n24681 82606\n21277 80938\n24678 40957\n17827 60577\n36738 70567\n73454 99352\n71953 97072\n21029 42528\n33645 65587\n23350 46073\n47642 51237\n23451 72958\n40094 50425\n60355 69176\n74049 82319\n15858 51960\n22504 27207\n412 67007\n702 37330\n43886 50324\n77748 99270\n5654 80445\n20866 83834\n2186 3616\n36271 84954\n77136 87979\n76797 96577\n29648 67564\n19394 80114\n8386 25352\n25726 84789\n936 14224\n87655 89237\n68553 78902\n22250 96508\n58107 91083\n57721 89031\n86733 90499\n36521 90202\n40324 99991\n29991 53710\n68764 71781\n64547 65798\n25414 86495\n53523 64214\n40186 41321\n44711 60971\n5369 43851\n13620 80784\n16347 63190\n32544 40459\n3912 15344\n14719 39018\n94993 99899\n23076 92165\n46618 53946\n82628 99559\n69369 95315\n25075 91544\n12965 73868\n22267 23959\n43007 58626\n9150 86029\n48779 80952\n10900 47548\n42591 84451\n8868 50476\n11608 63434\n73168 88502\n6460 88947\n6448 44188\n30869 58229\n4542 15462\n77458 88403\n24925 49016\n35814 53640\n51884 70875\n14638 49724\n33160 92599\n15395 58892\n69387 82430\n9031 78877\n78465 90447\n67862 71793\n42238 61267\n25205 92730\n65975 85188\n50544 95996\n52433 69339\n23273 42027\n13390 18046\n89049 94772\n29387 57707\n35067 81258\n22381 77082\n34295 60453\n22265 91897\n7628 14984\n25420 95637\n23354 59509\n2149 49634\n3794 47080\n12054 85976\n757 41185\n39719 50530\n68307 80904\n19732 92309\n30159 91323\n30722 86821\n42507 93339\n33308 83055\n33523 38649\n8382 75775\n59250 97610\n8390 52469\n24275 71077\n4836 73774\n86172 98972\n24283 34109\n27048 78615\n77250 81474\n51894 96370\n7409 74345\n48473 89676\n42301 70597\n4730 76866\n63310 91073\n11086 17314\n74604 95853\n1905 82512\n94015 98700\n33006 76208\n7171 66720\n23523 31147\n37415 41054\n20555 83939\n37052 71247\n5850 35952\n63180 65529\n12888 72676\n17415 41418\n37969 78990\n7963 71240\n27048 35541\n19646 81598\n62796 81750\n27506 62197\n17480 80665\n56946 86279\n22223 52883\n13299 69867\n40980 68848\n46238 51048\n36847 51775\n33274 75526\n17031 77150\n19379 30353\n40085 70589\n6379 80721\n26692 54875\n88575 91768\n38516 61144\n73927 88592\n57223 73325\n54486 71880\n29335 56994\n89269 92965\n13006 51130\n30243 44018\n71863 92172\n14241 55607\n21815 87113\n67761 84259\n24403 96851\n12458 39829\n35389 45173\n13806 14633\n37712 41216\n5048 38906\n62284 90802\n28377 87421\n76505 78898\n42623 90468\n53084 85002\n44972 46580\n9383 38250\n42500 45032\n47587 94849\n79003 83153\n32967 81122\n33166 59773\n45288 54232\n56657 71875\n6267 7111\n9960 33474\n62351 94306\n40886 49019\n46262 91862\n24432 30138\n13191 71925\n57733 59272\n15369 74760\n26809 77261\n35772 52614\n30368 83561\n43293 54807\n62933 87284\n22899 58856\n25313 40961\n83011 85040\n2397 6938\n18381 64700\n4018 83799\n61425 87217\n86959 98366\n22913 27113\n4560 11288\n88808 98390\n53215 65599\n35319 60250\n24753 81401\n30736 32726\n22075 33885\n5713 60665\n40111 83075\n949 44145\n26465 40491\n3522 99790\n14105 85298\n16620 78106\n49427 76673\n20576 54200\n89372 99214\n26582 87630\n49219 73909\n17237 82569\n29839 63462\n35343 72951\n72755 82522\n20615 39930\n37118 83240\n63988 96521\n25798 50076\n11862 79641\n997 87655\n5694 89078\n42582 57537\n5721 57940\n52472 95969\n24547 71270\n9860 77895\n6728 98222\n63304 70378\n1786 91639\n33352 50549\n42589 86125\n51048 95899\n38926 50570\n4483 36229\n5718 35573\n3285 53477\n20088 97574\n986 66948\n25164 85302\n14214 99599\n57546 58253\n22255 42994\n26017 68838\n6802 22152\n21923 88837\n22134 51639\n2131 45482\n37523 66679\n27846 51863\n74524 86740\n72985 95894\n28713 50127\n43892 46277\n35017 63873\n13187 70770\n12256 43102\n78270 84797\n82644 94123\n34416 95425\n32481 79059\n457 13953\n22902 83713\n40314 90553\n7033 36051\n18137 27783\n40277 71294\n34101 35106\n48512 76671\n47967 66889\n8040 84283\n11440 81961\n2468 97738\n29849 67783\n18249 39379\n9195 98792\n33382 88090\n19388 47365\n31517 83443\n11262 67530\n44640 73135\n29138 43654\n54647 56887\n6331 18687\n62010 83032\n53511 72038\n39705 49158\n4178 89583\n240 13218\n26515 60318\n10456 23541\n1292 53454\n49285 96546\n46996 88253\n61304 94210\n31147 58127\n9839 95016\n9321 14367\n33055 88253\n37989 88921\n3888 34188\n60045 74439\n11270 14252\n15197 91228\n9030 59461\n64518 89924\n88626 90917\n11824 39628\n5100 26517\n2462 93136\n10763 69501\n9303 46337\n51089 90205\n41117 66503\n57707 68514\n3379 47167\n70911 88988\n30244 53747\n14334 30465\n6514 94425\n26933 63217\n372 85873\n4980 45466\n51533 60059\n34244 66685\n21654 33011\n40598 96906\n33806 53024\n24986 89886\n36767 43811\n60716 78576\n27918 45073\n61806 77845\n8421 41601\n337 88313\n27834 53572\n10741 45525\n28987 42304\n3488 96160\n49476 85874\n8472 65188\n25036 50914\n38536 41577\n22469 40401\n64667 96675\n20049 54795\n52335 75787\n31022 44729\n20913 49782\n30946 40019\n10696 78756\n52058 90305\n2236 69453\n11088 19683\n7440 52744\n326 719\n15231 88000\n39421 57626\n49429 59794\n49099 56525\n18542 88855\n1235 55142\n66155 84693\n31589 87424\n18259 43686\n47840 82065\n50152 89955\n37631 67504\n23526 72806\n11944 43997\n8758 83721\n29640 88645\n3479 64807\n44039 60638\n68606 79682\n51342 74375\n39177 71710\n64354 93340\n30183 83202\n29317 91628\n146 73543\n15685 86453\n17388 35109\n8838 66108\n46522 80806\n22727 76086\n43274 47296\n18764 84553\n3985 95516\n73116 76674\n4041 74343\n11849 25580\n7970 26175\n4251 8865\n65879 68817\n34382 65251\n17396 53232\n47543 72949\n55628 59894\n5687 58977\n21075 44922\n55417 80521\n12278 93825\n3305 69436\n6625 31502\n25640 79403\n4783 23262\n36998 82384\n43725 74796\n59978 81981\n52152 63914\n24107 44539\n54872 72881\n16900 89092\n81080 93097\n69316 80837\n78518 84577\n58961 65831\n56430 58476\n7499 86309\n11111 35994\n72164 86833\n2467 93726\n9993 91082\n1333 61811\n10596 63717\n34529 73982\n75737 78363\n26071 76160\n41457 51029\n35311 87400\n52421 96736\n8361 98128\n2047 58642\n18130 68911\n41727 92008\n3021 6435\n53102 91021\n25619 62903\n43646 88770\n12212 73569\n40521 49136\n17604 76165\n40326 96262\n9822 32594\n28683 92381\n65589 97188\n39534 80030\n21781 27676\n16669 87940\n3955 89294\n34312 49695\n61778 94602\n19676 30721\n49177 69062\n5668 58138\n1257 99097\n59377 72844\n29734 60525\n40031 95380\n67217 90455\n5805 13980\n22914 89226\n13207 55223\n11239 91067\n55306 78809\n3569 29799\n18792 68054\n33212 86435\n15706 20478\n70092 95250\n72784 81405\n59383 78799\n10478 72373\n82965 88701\n65166 97519\n77300 85407\n23481 37588\n27161 99685\n22116 63493\n71555 84041\n11554 57874\n53031 73946\n79060 93837\n18033 89197\n2760 53373\n63727 85661\n11165 19435\n14518 99602\n24105 86012\n15787 86638\n74670 95414\n63567 72522\n23554 45713\n42488 64248\n46738 69604\n63006 86331\n35106 47792\n47063 53245\n26917 66894\n27299 63781\n7305 51148\n63745 82161\n12625 25743\n19183 22712\n63792 99702\n44456 88870\n4248 92313\n47407 77243\n38083 48955\n88656 95962\n3679 67204\n1820 7972\n14188 22025\n79195 91510\n21922 35179\n51991 72530\n14181 14334\n5249 48535\n16528 50032\n27416 97794\n63275 93564\n25633 92328\n10195 62147\n78040 94336\n5022 73669\n22805 68468\n27179 77893\n14922 26026\n47790 92494\n90871 98676\n48573 50274\n21079 49401\n5273 67315\n45325 77654\n88833 99918\n2659 11125\n22925 25282\n59438 83562\n41909 66228\n547 51619\n13108 51991\n79514 90031\n29778 93021\n2884 8381\n35168 36573\n2078 8943\n435 1859\n22260 49756\n60691 95670\n62222 98269\n31417 92720\n50700 78670\n80747 83736\n59143 95679\n34633 42144\n30591 77001\n50068 86399\n15886 68052\n3852 60056\n21094 42752\n14065 63594\n68833 80657\n47202 54584\n35527 76549\n41724 90077\n14892 40636\n31738 62881\n16720 87914\n28778 94143\n52794 55205\n12275 55518\n55463 82512\n77373 94607\n2431 3134\n9360 73327\n1241 9583\n50287 88104\n12032 78267\n30595 84382\n76602 83056\n61728 83899\n64343 74919\n61118 86008\n22286 67007\n1604 52477\n8008 8354\n38030 99063\n6809 36622\n60905 68810\n19940 42266\n26865 34204\n14964 82919\n43091 81338\n38413 78449\n5996 65116\n56904 62379\n31296 52232\n24629 90321\n18084 96662\n29119 94968\n50449 97840\n4782 99450\n14668 34303\n46742 63119\n4628 7464\n3255 4970\n59554 92761\n70450 99257\n30331 84830\n40660 51511\n45643 79839\n78429 94948\n12591 99711\n5806 21065\n10835 12872\n67010 71306\n5534 12854\n42160 92901\n8357 71614\n51629 71322\n38864 70903\n55102 63432\n48723 82177\n25380 48573\n47643 67264\n16935 45122\n48965 53567\n68636 69603\n34193 94235\n15999 16281\n42345 88930\n4593 34199\n19685 33082\n41534 57155\n30654 97991\n13172 34123\n25029 52186\n41127 58056\n16750 71068\n77558 90227\n10906 12560\n12322 39634\n13168 49205\n17402 42803\n28638 68777\n49243 83489\n49781 80159\n17189 19344\n60512 76067\n15059 55040\n78748 99826\n65887 66569\n55439 59682\n20442 85784\n13277 35559\n42993 85970\n33199 46432\n29555 42016\n27545 70329\n32561 70091\n62478 62922\n63320 76193\n35682 60961\n5046 66940\n77862 93801\n70419 80006\n22464 84538\n85323 85471\n17018 77709\n563 14806\n9031 30459\n13412 49980\n25132 69968\n27569 69428\n36752 53379\n8298 73843\n26752 90696\n39895 84057\n10880 99581\n14912 50300\n2187 71636\n68253 99347\n81351 86266\n35525 87591\n26885 50260\n10402 38890\n38835 58355\n9448 74360\n576 77535\n60176 70981\n55248 61860\n1653 89785\n31219 62166\n55503 84585\n30421 36159\n12502 55436\n67958 98158\n62067 82839\n15611 85753\n48945 76274\n256 67152\n20894 53855\n57805 89006\n4541 93018\n1833 97444\n12950 53160\n11091 40087\n70741 87694\n94883 99335\n13655 88670\n86430 99609\n50488 55839\n81512 93160\n14418 28720\n9141 34876\n15741 74919\n25634 86461\n24198 47992\n61365 79563\n14827 50095\n21892 45351\n84212 98219\n21721 82564\n80693 92544\n7449 80537\n40985 86596\n23838 87171\n39446 82770\n32458 40566\n12650 54347\n755 76799\n42099 88459\n77816 89944\n34066 59779\n32492 74685\n25923 96458\n50078 52220\n53656 77353\n8765 12513\n13913 77138\n4420 28664\n12164 95840\n49632 53059\n1476 95034\n43812 85644\n24147 41135\n33119 55547\n6541 43582\n33591 39860\n11108 77700\n24019 27402\n21527 35034\n47146 96497\n58085 88840\n28508 95625\n76148 93498\n65915 68707\n6148 28584\n57451 91030\n10464 22516\n6923 79022\n5606 29186\n81841 91755\n30991 91846\n3221 24807\n9268 62097\n11468 43294\n41461 48932\n4312 30092\n28595 55263\n32168 72467\n3508 85974\n4303 45509\n52029 71798\n10357 15308\n86348 90934\n96 92552\n35251 43630\n26403 88817\n1985 78286\n4810 84642\n20672 62545\n11255 80206\n40676 94332\n3405 38804\n22586 73531\n9195 75212\n57289 81265\n23503 44711\n60459 67892\n8386 63289\n20823 64476\n11913 59008\n22436 90307\n27830 78887\n36229 74182\n64989 95731\n9567 41540\n43316 91275\n69331 98652\n7121 13186\n84250 97433\n86968 88948\n18843 46733\n2536 27290\n31811 44813\n79220 99279\n19711 52222\n34262 83825\n92583 92932\n11052 54220\n50859 62537\n88847 94579\n15294 86377\n760 31952\n58444 76683\n16586 52396\n38115 54937\n58528 60498\n4364 6127\n12516 26475\n41532 91578\n23735 29407\n46414 66418\n1280 80137\n31475 98857\n51140 74569\n34177 47057\n27457 82431\n9198 45879\n44637 70808\n239 22658\n24149 72753\n1998 63229\n2734 85618\n33897 85649\n13187 14474\n25124 89608\n21202 89395\n40808 53685\n21727 23107\n44531 70026\n26020 63003\n23838 31668\n14519 16956\n50366 56251\n23142 93933\n13359 86431\n31105 48711\n52537 96530\n34221 92058\n43476 68413\n52981 92282\n47071 75743\n15516 44755\n10327 69350\n63042 74070\n23524 88084\n4284 54286\n24926 47228\n74127 76967\n32217 64863\n53095 60812\n40161 59812\n14451 81802\n18537 69911\n53018 72721\n10945 23296\n11573 91160\n9665 96731\n25505 47702\n37959 68951\n7006 13506\n67463 67648\n5143 53955\n3865 95526\n51328 77219\n19756 68902\n42615 60725\n70879 95520\n50494 70445\n55061 75889\n30080 38089\n51367 90912\n55223 92527\n42142 66050\n34235 37680\n8518 80356\n42014 50706\n22480 77933\n24482 37024\n26251 39171\n37562 78888\n34265 78765\n38048 59440\n21362 40766\n21198 53683\n17427 30928\n5363 37017\n41046 94465\n14612 50567\n39741 79594\n48884 70761\n12817 13563\n20483 23085\n64639 79979\n18657 21268\n13913 71620\n4503 95086\n11350 15579\n56528 74795\n40675 54838\n41379 81520\n36182 77180\n2709 31725\n40289 98789\n8159 70646\n51408 71955\n25810 85395\n22393 82738\n52249 83426\n3193 67700\n38059 78387\n7586 8970\n25997 91735\n64096 98622\n4327 43720\n2746 10163\n22583 85176\n7070 76294\n69598 80153\n43040 62765\n9095 55758\n53991 58092\n15463 51926\n31504 73975\n30284 30336\n81507 90753\n31827 53484\n53575 81329\n50938 60030\n38938 60725\n27064 46024\n19272 84630\n8435 91592\n43012 89222\n20163 87482\n20454 46298\n35865 58485\n11396 54628\n14048 85948\n46188 76525\n20368 69525\n63743 88144\n38769 94022\n24866 74942\n54340 85597\n30151 96250\n5767 22360\n15678 85756\n21975 90590\n51239 76212\n17979 62863\n78120 89436\n25063 31317\n246 63643\n11860 68825\n1962 94627\n37016 67037\n6195 24222\n85067 87336\n29180 80095\n54971 93395\n4779 61907\n23254 93749\n7338 99528\n21209 35326\n23413 24864\n20408 82415\n753 86652\n13128 51261\n27640 77658\n88319 89023\n18893 36487\n62120 99995\n28849 93897\n36783 52064\n39366 61902\n1391 43366\n42484 54462\n19343 40486\n60514 71558\n8180 35028\n28432 81702\n71499 85955\n12512 76408\n25460 28652\n57886 64997\n50305 98421\n17403 65735\n57357 65498\n2067 79862\n89305 89355\n24283 81287\n7284 36378\n23865 48363\n55038 99762\n26368 91674\n33070 43625\n28193 54966\n32200 44879\n90594 92836\n40154 60908\n58443 90188\n40685 72674\n12460 43439\n26281 52076\n31128 87514\n67389 76785\n47992 90265\n29519 56865\n38841 68508\n49370 65252\n65639 66182\n71790 82859\n22446 62688\n14589 95019\n41833 61635\n68867 92364\n62928 74481\n1439 70765\n45927 68047\n20767 57994\n21132 64741\n27355 73988\n37570 97809\n28251 77968\n58063 97429\n19422 88009\n65514 92179\n79407 85974\n343 70057\n35449 42862\n60244 84923\n38526 88658\n5813 56763\n23752 65947\n5703 47092\n20527 66480\n18570 61020\n47597 48105\n5755 52695\n15967 63213\n5925 76645\n4981 31662\n68330 80251\n16582 20791\n12187 73817\n66006 90396\n83060 95413\n55488 91861\n28452 42655\n29373 35782\n72357 86997\n68526 81942\n18248 69514\n30313 83858\n27479 57317\n39840 54031\n31637 99492\n16432 37946\n28460 45867\n18393 82291\n9314 70267\n39636 98838\n21427 59940\n35057 89251\n4261 13048\n35212 84242\n27295 30457\n16812 60834\n59111 91706\n39977 72105\n22531 24173\n19736 74424\n9529 19627\n12140 51010\n12153 58885\n27662 77307\n69732 90358\n32323 69707\n64191 76532\n23806 24534\n6390 8360\n51628 94624\n5314 30933\n12549 33685\n6216 24670\n35172 72039\n20172 84250\n69404 92759\n54559 57948\n312 57715\n49816 78961\n17241 38023\n38583 95880\n72611 86595\n5235 80402\n18274 54541\n51989 72725\n1885 60438\n18695 21443\n24651 29901\n38 15765\n35279 45786\n7052 31679\n35606 87324\n12789 29526\n92520 93569\n19922 72113\n8735 35787\n45138 93300\n5044 54559\n26211 61824\n88341 90381\n4420 60062\n40767 96081\n30011 35105\n46507 83580\n89522 98754\n30137 47603\n3624 13847\n12210 60745\n21518 25841\n51329 88572\n56670 80648\n58690 79512\n11848 92463\n14001 99812\n374 77606\n32841 70028\n12480 99960\n18042 78964\n40525 89418\n24086 34935\n36241 59792\n54393 83473\n17639 77479\n25865 33224\n20529 88374\n37529 48041\n21819 72039\n48361 68903\n88445 89933\n2453 6871\n29428 72456\n28302 71910\n14766 37376\n4281 46976\n25770 33077\n25166 55273\n14400 38272\n30025 80315\n79001 90398\n3214 90418\n55578 84187\n13518 68547\n8385 87913\n67630 91879\n42226 87727\n74710 90256\n26413 94099\n46429 72853\n4003 47981\n46438 47871\n8878 10087\n18213 74463\n37760 87713\n31672 49108\n2275 26130\n74427 91886\n57176 99242\n60002 81031\n11828 19706\n34971 88533\n37776 47346\n12688 73070\n20462 77757\n3252 36430\n13905 67185\n88869 89860\n82250 93921\n53867 82287\n11186 26827\n20101 40124\n27862 58582\n64292 94810\n50587 83499\n711 48290\n47051 94607\n93823 96545\n51590 58621\n14556 19907\n6208 74186\n5406 34352\n25784 99232\n24668 80613\n4446 48955\n15529 71543\n40478 78361\n37655 46059\n45633 84692\n47606 53913\n15534 51907\n2760 43625\n10843 42114\n64122 72289\n58712 64156\n2849 5484\n63649 66329\n10236 63037\n17883 68963\n14951 69368\n37502 39443\n26219 28568\n14399 97696\n12307 92078\n57884 64437\n3913 14222\n39066 96713\n7406 51214\n18348 61690\n4992 59489\n37065 84824\n42125 61105\n15910 58209\n13107 63548\n65787 72616\n37939 59383\n23150 45634\n2544 68717\n43643 67790\n60451 86306\n39946 80059\n4477 47730\n41371 91410\n52507 79425\n18333 37043\n73579 91158\n13648 70166\n16564 97760\n21792 71597\n43734 95555\n17956 44978\n91903 94566\n17758 28252\n10330 83930\n87912 99333\n8772 10508\n7339 73479\n11964 82836\n67511 89574\n2473 81582\n69329 83797\n17520 52654\n19224 29937\n62715 73468\n17170 33278\n74705 76506\n39992 65173\n35053 82272\n59922 67075\n8482 12732\n32846 91086\n25114 95477\n18746 74717\n47427 77017\n3693 46318\n4699 20881\n52535 95006\n1550 67834\n7347 73393\n34641 81446\n2615 62057\n2251 26707\n17060 58288\n34577 51327\n53509 93363\n38441 77682\n63318 96144\n40040 78686\n9289 11916\n42219 77242\n10049 55821\n22565 46531\n8230 62732\n31457 48912\n25376 54143\n48464 86884\n25422 49669\n14929 41957\n15803 67621\n74390 99239\n464 44113\n867 79897\n19658 21730\n426 45152\n24690 89023\n31945 82384\n54203 89691\n37710 86738\n15900 24736\n15314 75764\n21290 32818\n63940 91797\n33955 34887\n19682 39670\n57634 99409\n47708 68053\n41779 43171\n46940 60113\n26165 98960\n34290 69794\n32372 34758\n5913 33301\n66408 70417\n44639 98338\n83338 90245\n5074 34922\n37331 50849\n28690 82780\n3877 88737\n66223 85551\n54251 54413\n49190 76084\n14222 26816\n80459 90622\n17045 52758\n14338 84701\n23757 75450\n46412 71386\n26394 27878\n71526 82973\n21385 94075\n18840 34885\n52258 73940\n50647 97228\n10696 84396\n21525 29008\n60870 92930\n70247 93560\n37422 43186\n27533 46294\n17834 54553\n58635 72414\n14147 38938\n88596 91101\n37640 65520\n46606 56179\n15594 95036\n2187 28586\n17584 41737\n46160 87095\n30389 79050\n37839 44724\n33953 46734\n51611 89914\n20415 73296\n67776 93550\n71927 78391\n21811 69648\n82264 86006\n34921 95107\n27615 67857\n7772 96289\n49440 91945\n2472 53603\n53699 95993\n3149 59805\n20875 66375\n31660 84108\n31539 69327\n31603 85222\n89319 96144\n37555 45320\n5437 41366\n6755 54604\n68016 91986\n3305 84663\n86451 99534\n2369 88340\n30411 89659\n74294 87027\n16745 83838\n3728 8868\n54841 85828\n21718 62242\n3025 95192\n3814 38328\n21326 84302\n26507 36228\n5073 50480\n11204 21778\n22584 24844\n12198 39513\n28554 74768\n39506 50631\n19935 68943\n38224 42042\n11156 17044\n31430 98221\n79992 81910\n14069 83620\n10259 13937\n31639 88623\n49037 82206\n19450 60985\n48465 53471\n15173 65819\n29507 59862\n54856 87616\n32717 67451\n85584 89098\n53182 70926\n28609 66175\n4297 14309\n2516 85253\n65964 93982\n29887 55055\n38467 47436\n79560 98295\n27342 85532\n68360 78072\n32145 83743\n16509 22938\n80639 99807\n33889 35123\n74804 75950\n21457 52903\n80774 86751\n14547 59405\n37608 42835\n60348 96457\n6012 11039\n7863 78286\n76544 94301\n80596 82112\n55731 96670\n67040 78144\n5873 14844\n58657 93191\n9993 11834\n84158 88117\n3 10947\n29775 54685\n2612 78957\n51509 86565\n47250 67420\n64410 94089\n12631 89329\n5028 61903\n64962 67794\n16558 91353\n39124 39548\n28279 30488\n33494 69540\n15123 57884\n56541 57432\n59488 66622\n61433 73483\n5041 21364\n48995 95254\n20490 55034\n2885 61846\n8693 44352\n15352 31209\n1923 28129\n49730 89586\n19930 86367\n30865 92595\n14380 49749\n25106 98520\n10110 56069\n62231 91270\n16840 27228\n12383 59822\n60103 92986\n64583 86110\n78267 90614\n136 47115\n530 75198\n7138 88208\n19859 67622\n17575 33151\n45813 68190\n30365 38075\n4467 39764\n13237 25062\n28961 45074\n38882 41261\n65060 83279\n2437 89821\n63 24439\n64777 82829\n26346 48962\n39087 66337\n37461 52200\n39411 48048\n5808 96416\n10449 99736\n8580 63216\n13582 80543\n15240 38218\n30409 88115\n18472 27931\n877 85675\n52018 54301\n27042 94838\n58499 68859\n36422 64799\n81131 87604\n21126 27333\n13372 41007\n8114 21597\n48704 70915\n15069 82839\n37207 77907\n22369 62599\n38954 49714\n1457 98280\n51443 84667\n13335 48605\n47526 73572\n73479 83667\n91805 94382\n43297 69715\n21393 95167\n14432 47676\n47734 94526\n60667 63921\n21210 23374\n10053 70252\n19504 83278\n19082 67882\n11378 95964\n2893 47477\n17324 45717\n59879 69105\n60974 98266\n3922 17696\n22787 43538\n59926 72266\n49631 72304\n15743 94921\n32143 46684\n17022 33807\n22704 93807\n2939 78280\n43854 61326\n21621 44085\n1583 60364\n74952 85803\n30415 39401\n9526 71973\n8988 17654\n8758 49612\n43866 95392\n66551 98091\n9283 11610\n47075 73259\n18917 79515\n60645 91714\n65342 72549\n25706 88778\n18627 57907\n74445 97559\n50886 74849\n23842 48798\n18250 66525\n35083 48910\n31160 81439\n46506 48317\n21772 39664\n83996 95087\n69004 72212\n51006 81117\n11307 35450\n53849 92829\n6446 9146\n16512 61546\n32006 94601\n12320 80502\n15424 58684\n94926 95251\n2143 69720\n4845 48293\n33452 66738\n21563 40204\n81086 87236\n12923 60039\n34147 40644\n12680 46356\n64335 84319\n35365 55716\n21873 89741\n38126 61494\n58815 76148\n46712 57197\n88688 99587\n17452 71249\n29331 45129\n95440 97182\n57651 92955\n21136 76150\n6766 80701\n63268 74916\n57941 58999\n50903 93572\n392 76811\n20505 25237\n49025 95054\n34908 88284\n60498 64355\n30152 70769\n36531 83195\n86750 94135\n39491 84072\n8678 45513\n15566 51071\n41078 92267\n64190 79002\n16082 45371\n64350 91241\n3926 82918\n50473 76611\n48398 81378\n44009 57248\n3561 73188\n24608 54041\n10031 51605\n44843 71333\n63723 74649\n73289 77227\n43013 53874\n45721 68946\n46342 59843\n4249 57202\n5915 72002\n80880 85823\n29569 69273\n14447 46748\n11721 94659\n48974 70206\n27057 88910\n62679 63720\n7995 82275\n23746 64649\n47070 69348\n534 80049\n51672 94516\n7940 61294\n42583 85473\n45693 76410\n1949 76699\n39232 85429\n65045 80989\n12848 59655\n78236 87065\n59992 92559\n9150 55569\n56361 61924\n56482 83754\n4096 10102\n42299 49369\n2019 63226\n29259 58426\n46796 70944\n5188 86865\n39525 70665\n49741 53371\n40000 70497\n50902 85148\n44323 61036\n30759 93555\n44690 68343\n19511 83205\n3394 27087\n7710 86595\n8599 68552\n32669 69676\n22192 92079\n85846 87972\n47377 70523\n18903 25995\n27168 76235\n54523 95230\n15236 94466\n70966 78877\n27115 84769\n1337 30406\n26222 50045\n22323 51079\n2900 72249\n14833 83503\n11491 80008\n19652 41051\n36333 63885\n7794 59643\n15684 88591\n57115 83731\n30574 31085\n71514 80757\n9192 98326\n5069 63740\n27942 31850\n22340 49770\n1429 73698\n32656 85780\n59537 59788\n69874 90958\n12251 96234\n25695 88475\n6540 21726\n1325 58894\n56940 66263\n85227 97611\n19751 61047\n32175 45040\n37718 84294\n11737 82859\n42703 55779\n7152 70233\n23534 50525\n63328 97293\n36038 70832\n9558 83737\n14713 76136\n38772 64544\n49330 66719\n59476 82611\n5781 16613\n76813 80366\n50173 96430\n39358 82462\n9608 68159\n21863 60750\n39188 67011\n30085 45197\n20378 41802\n6468 89627\n35382 53801\n20836 64615\n58219 79044\n31791 35912\n17109 87202\n78803 97458\n22358 99510\n50870 66331\n4136 71564\n42672 71239\n25983 63081\n32265 42273\n6244 78376\n1146 58578\n9822 59046\n64708 90860\n21653 79929\n28837 71578\n38265 51309\n86800 90950\n2496 29157\n71441 84971\n38979 66451\n14961 28101\n55127 94208\n47878 88903\n41632 62818\n881 57467\n9438 20822\n227 30355\n59023 89274\n15202 58234\n8388 79509\n23801 65915\n7436 57896\n68036 72979\n12767 53711\n62336 63620\n23239 73597\n37447 73325\n30460 58082\n20488 75662\n65814 90658\n3424 21078\n18220 41133\n70241 91596\n8357 36363\n48871 52060\n7010 53890\n6452 16525\n13442 50427\n35091 78114\n57905 77320\n16135 55116\n43119 57016\n57170 82930\n74785 74820\n20542 26356\n121 74936\n17104 80732\n26792 80691\n17424 68349\n52339 91529\n39213 45682\n31249 59992\n53495 56167\n4679 40864\n25894 37054\n18659 59279\n39994 71950\n868 2478\n21243 47566\n77643 89068\n33171 68208\n31515 78147\n69243 90495\n44468 77785\n5143 36529\n7458 9457\n60145 99920\n74830 88996\n49569 99184\n17255 31558\n37394 70946\n10470 81587\n4333 56043\n8939 38152\n29870 42813\n28890 39324\n16427 88350\n17156 21475\n31844 53437\n28241 72516\n44972 75380\n59769 84134\n83670 95701\n2237 43985\n40893 67884\n40234 53988\n5027 36796\n49306 51168\n5591 75972\n73493 95120\n42855 48140\n15591 61867\n16359 84118\n52316 57509\n33221 75381\n24118 33008\n50009 53018\n30266 38666\n24578 49671\n14740 58664\n71662 86864\n23880 96251\n28115 47777\n19624 20575\n32800 88083\n36994 79830\n66294 96847\n35581 37730\n20388 48331\n32279 70369\n7720 55442\n75027 99824\n14293 22476\n59207 85435\n30724 56898\n6130 82879\n27227 45008\n41086 84660\n3543 32911\n49326 67898\n1987 76466\n30953 86720\n2585 13876\n46623 70155\n2790 39768\n25602 44782\n33067 92664\n3023 76860\n60615 63643\n77853 88536\n41611 47583\n33368 92037\n8139 64530\n19830 24376\n57481 86509\n37667 96994\n20125 39561\n31950 63325\n8823 33801\n44545 57056\n35386 69307\n890 63461\n19801 64032\n19100 44892\n17917 20372\n15550 36906\n6853 16825\n3296 14208\n68351 96429\n20133 56762\n67054 82402\n27957 36772\n65414 66641\n71586 80498\n12595 86089\n6986 16891\n30326 97987\n11141 19454\n48606 55706\n1531 76119\n23259 43469\n75852 86767\n57951 67418\n5273 43244\n28254 57326\n62321 93308\n14002 78813\n42970 57906\n35297 36957\n23193 52340\n28505 54576\n47706 72671\n1220 41561\n22841 65601\n18999 53649\n32195 39830\n69549 97612\n15161 52376\n43824 86804\n23453 43604\n26526 74059\n46160 59652\n37255 67339\n38318 73759\n29548 38980\n23781 55490\n13071 22359\n265 1963\n81122 83263\n5116 32041\n2352 35455\n32803 53676\n26042 28826\n61189 76462\n50514 99487\n88186 98282\n65139 94342\n28392 29571\n18099 75640\n5170 24356\n15696 41639\n3487 29314\n32989 63495\n18968 54440\n45070 57585\n24055 69799\n49363 66834\n80704 92054\n4311 77687\n34246 38022\n17207 28406\n22398 34708\n22150 53251\n84358 98247\n8645 25703\n78647 99695\n7044 58331\n37871 86886\n53574 64145\n44436 96388\n10330 13286\n19448 79426\n62483 89445\n7967 26322\n3867 55406\n66362 90010\n28772 40393\n67627 71676\n11424 96028\n54918 92745\n21285 28785\n32341 99639\n22720 28139\n1157 67606\n29749 45394\n29146 73310\n65989 77332\n5872 33453\n9382 60230\n62238 96348\n76309 83879\n26275 58368\n39810 85689\n46259 71348\n2022 60039\n4683 57916\n13039 28232\n10133 46670\n89332 92003\n32879 34364\n6598 63197\n40288 60713\n27213 46296\n23582 87788\n36541 87768\n53465 65246\n34877 41450\n10143 87800\n54969 66909\n36873 94965\n14283 73332\n51037 79653\n4569 85051\n70485 87969\n9144 53413\n32522 83078\n72014 76299\n9362 11043\n12825 13876\n2102 15527\n43154 73801\n86503 91924\n8460 48183\n15103 67139\n1218 54755\n6759 87180\n46706 81011\n13861 92396\n8275 53686\n13817 85864\n15195 77467\n47308 93291\n20140 31451\n1784 84664\n62437 90366\n29097 35327\n50105 71736\n13588 68020\n2177 89524\n52695 86497\n66497 81189\n65442 85347\n60014 78796\n1117 52654\n57232 84517\n24949 77053\n47140 52753\n9616 35591\n17991 91462\n24236 92385\n17668 78252\n61338 77541\n37981 38451\n9082 50254\n1217 80888\n25722 84806\n46818 96648\n36438 53939\n42058 92222\n52030 73409\n63513 82595\n5208 9427\n51738 95133\n20679 37064\n33130 50356\n45429 86488\n55320 92691\n73695 83314\n81030 95506\n59184 63834\n690 56310\n27389 56466\n3583 31696\n16632 63216\n44180 47407\n30471 30912\n17985 64780\n21374 48529\n13457 45839\n12635 59388\n27023 98997\n258 52641\n39959 80189\n28023 49197\n43811 78426\n11679 41498\n5532 11550\n32957 53638\n39998 78005\n33469 36738\n6805 90326\n53595 75329\n380 96808\n62978 78548\n64512 73897\n36958 65846\n42527 80221\n22263 86504\n72241 79221\n24266 84034\n5823 74823\n62679 71446\n33605 79734\n63637 92267\n27989 96686\n70221 91099\n92465 98630\n49133 56814\n25435 91448\n39564 86188\n26313 45216\n42836 59399\n42209 79802\n29535 90417\n74830 80069\n52252 65176\n6227 12413\n66204 73718\n44147 80959\n29373 77341\n38571 91625\n26733 32002\n28862 34982\n67259 76203\n53655 80795\n11862 17549\n62760 76367\n33084 37853\n11997 55841\n50465 76566\n31249 33693\n44503 71282\n76340 98349\n1871 65021\n22405 53233\n11198 88023\n73732 84667\n40143 66581\n3568 75244\n22155 49611\n4440 18858\n16620 31824\n12787 27814\n83493 88579\n60909 62070\n3858 96414\n7949 93690\n5573 92097\n48597 78909\n77479 81648\n1812 69697\n11346 14118\n74447 95216\n48115 90963\n32206 41847\n54543 84819\n35274 61906\n61155 79616\n25781 78288\n7180 12127\n67743 96130\n39125 91371\n66637 75665\n29166 44725\n77286 97715\n19689 90231\n229 4341\n26161 59679\n70085 93859\n16923 95109\n65672 75135\n42702 75830\n33821 54794\n33444 36616\n1644 10971\n8445 92985\n20885 87880\n21057 38954\n37084 60014\n54608 78504\n3683 60169\n45994 92229\n19049 46259\n84988 85565\n33120 57830\n41385 49689\n18344 23800\n31832 55724\n5861 45097\n19510 94187\n1714 98117\n14622 18214\n17256 86349\n13145 65656\n25606 35730\n56524 81449\n213 87707\n69180 84764\n96040 97285\n39622 69501\n4733 76589\n49879 93709\n7923 75154\n5852 17304\n2358 75889\n35426 58194\n2877 76874\n41112 98275\n82043 94556\n54751 88760\n34392 68233\n16332 84835\n3300 61196\n80889 91184\n18724 55030\n59671 69527\n38493 58913\n28721 85379\n45268 68516\n4173 82243\n60670 94120\n44649 94210\n24089 69642\n90244 97113\n1731 55155\n13078 93723\n17439 77065\n13079 52359\n87665 99867\n13588 94589\n22398 52815\n3801 63616\n26044 36075\n31490 50514\n6261 67329\n66711 85838\n85081 90378\n81724 86960\n84819 90829\n57039 60732\n56373 99844\n5018 23471\n22925 47917\n81679 97457\n32953 97141\n30337 78340\n24344 97288\n73560 74383\n27148 85027\n49100 78497\n13763 70077\n22711 34239\n62127 99879\n4728 45945\n13214 71959\n15871 36983\n19343 59240\n855 85655\n38113 94502\n41888 46270\n52384 93717\n26046 61086\n21186 58519\n86314 99814\n39747 96028\n32790 78601\n6254 29640\n773 12086\n4475 77044\n17346 83897\n48719 67995\n6111 20184\n25590 77593\n81537 88889\n67676 92845\n69874 87333\n47383 62122\n68511 75958\n50431 74267\n30293 36454\n47941 49845\n51818 94514\n17226 39645\n8829 79165\n18582 40731\n3394 15571\n14506 27608\n4230 33183\n63165 90272\n42417 78582\n38651 82586\n19515 88304\n69800 93734\n27682 44979\n13036 28147\n18229 93032\n32315 60416\n23948 44838\n80571 95264\n17207 19110\n16917 54790\n2212 98962\n8171 92725\n13729 19231\n26157 65835\n44114 63488\n43762 79676\n39371 48321\n43340 83272\n61812 96415\n3341 27063\n22621 56132\n57471 81686\n15906 73999\n31865 51143\n40981 92014\n36352 80076\n846 42840\n34403 44838\n15928 58336\n63246 99319\n15163 30030\n31179 53395\n25296 99202\n7898 61111\n57416 97741\n29506 62267\n32356 71719\n77846 95973\n2732 69300\n84840 93539\n30790 50971\n18249 24467\n90067 92854\n71593 79702\n44928 99350\n9665 30084\n43988 65358\n37493 54034\n18546 30323\n50140 78346\n83222 94600\n586 26679\n9591 61451\n45631 49135\n37233 66838\n47703 96353\n6112 8627\n13459 55911\n37152 62735\n23449 47044\n29258 95777\n37264 44438\n19941 45344\n17669 54432\n84563 96930\n87719 91123\n2054 51533\n54846 88332\n9295 47851\n27418 94807\n33647 79074\n43543 67980\n93568 97907\n49991 75000\n19395 90962\n39227 43108\n37622 84209\n82626 92498\n8642 69431\n35168 46031\n27438 34761\n9962 86008\n42153 82596\n16007 46652\n66611 80770\n10715 56517\n65178 83841\n12720 77366\n24379 35845\n44678 46977\n50163 78841\n29650 30496\n75134 85633\n21862 29724\n51931 88291\n35161 69372\n56381 89352\n52135 74319\n15074 65386\n59103 87043\n3497 25901\n3280 84011\n45845 60334\n47865 99677\n28781 61030\n32538 33337\n41200 97872\n69416 95994\n17800 45627\n5331 55807\n57220 70801\n38451 47343\n59744 99521\n34040 61055\n81872 83525\n51424 86893\n30591 61095\n32345 84920\n23410 94395\n66440 86896\n42387 42650\n6189 25757\n19125 99359\n83137 89025\n76198 90526\n20218 71357\n31529 67107\n47690 55030\n49705 76233\n32930 49487\n20754 75324\n15403 46945\n35808 46878\n70112 74402\n54825 70400\n43867 66209\n15531 65358\n80207 81412\n14321 17763\n55727 75128\n7117 27931\n59767 97899\n19637 26958\n44895 59279\n48977 90431\n70933 82990\n1979 49683\n30391 31321\n61945 69562\n5219 19666\n40985 50624\n65386 88077\n20397 98703\n871 47851\n41120 82345\n28557 63588\n3285 40459\n15359 45637\n42309 83835\n12178 12489\n19267 78331\n42824 84718\n7702 84780\n12819 44735\n7878 76427\n22439 36384\n3557 48197\n6315 97703\n27345 58841\n11643 75615\n15353 34209\n25756 83745\n27053 90693\n37901 63438\n65949 88633\n9474 49053\n7580 25473\n90035 98001\n23469 76066\n43564 72003\n17483 54618\n21471 54403\n14657 85037\n10057 43289\n62503 73270\n61284 64545\n32151 56609\n10903 52619\n5922 86570\n43240 43665\n52734 61104\n47455 63760\n30757 61793\n11733 70573\n56126 78856\n22788 48037\n17059 17469\n59315 87203\n33157 47895\n30227 42879\n2395 34666\n14827 77956\n78305 91287\n70789 85343\n76890 87730\n27834 98322\n5780 48669\n82348 98383\n40808 59169\n81263 93959\n3607 87361\n78566 90685\n23455 36353\n19923 56661\n68625 81335\n14100 90087\n24542 51831\n49154 55565\n29928 66663\n74688 76902\n7140 82732\n53492 64347\n64423 93288\n50431 83913\n65121 79160\n60126 96827\n93215 96970\n56244 88001\n34839 92495\n8667 34929\n14589 49387\n12801 89876\n61639 90256\n58143 76839\n65415 87650\n166 5050\n56360 78048\n18329 23213\n42201 54433\n24016 94537\n40958 49988\n49147 61287\n5965 11983\n71529 76770\n9828 71626\n5621 46599\n4187 71962\n61711 97536\n31967 47525\n70345 97852\n24592 46963\n45777 89020\n58737 93127\n48420 96733\n371 24593\n5418 44437\n56985 58488\n39789 81632\n47481 63964\n22503 32935\n59340 59416\n3410 69396\n52476 73694\n4031 70660\n30147 44549\n11432 78122\n47292 58633\n1061 3424\n42132 99251\n73336 75803\n35940 99331\n5297 96120\n14619 87067\n3018 72665\n58042 65704\n83076 84820\n10549 29458\n51935 54131\n5773 43806\n29968 97983\n45858 69835\n21938 77984\n25547 27426\n87223 91976\n15115 67473\n9608 43064\n21475 21748\n90691 94510\n73648 80034\n7696 74319\n10058 69527\n8273 36302\n34389 73342\n93584 94210\n18452 79618\n1857 47529\n10537 80687\n33653 58152\n80485 85198\n11746 50296\n23734 85493\n13036 15765\n65878 86468\n25917 90248\n31695 74562\n11011 42458\n49345 69027\n46909 74730\n27873 52324\n20145 38121\n49868 91441\n15006 58902\n30175 92504\n58020 90251\n43326 74734\n79256 82464\n27717 63809\n9907 59845\n13701 67124\n24321 45373\n42036 47218\n29095 79447\n80820 95501\n2871 96932\n57081 71574\n56075 83194\n30406 73278\n79109 91408\n37696 94848\n18451 82856\n18173 34153\n10445 17839\n73825 78310\n2032 62837\n53781 59144\n75759 87124\n18459 94598\n33644 76338\n81119 92847\n66909 76499\n12484 26536\n71899 74362\n23522 82043\n80589 88750\n44686 55516\n34615 42127\n77519 80719\n5822 61266\n20523 26797\n61700 67990\n14260 84456\n86586 88641\n55645 72357\n49585 71217\n5982 16003\n54364 54624\n4143 99926\n69200 71558\n11265 96944\n53021 82146\n26915 47123\n4182 16633\n67728 99336\n41357 94629\n56919 65259\n17059 29474\n6008 92159\n40235 55774\n58170 64498\n88718 89000\n61148 91557\n22075 61685\n11660 64245\n5540 72912\n58463 97688\n31151 67159\n4382 77692\n31283 33091\n1450 27621\n29337 72175\n18996 22697\n51787 91911\n12897 88147\n60950 78891\n17149 63668\n54641 66267\n32170 93895\n23024 58723\n55749 61356\n74060 76670\n68313 97913\n47761 77816\n29671 68504\n32903 56533\n13226 59088\n83144 99617\n4630 63553\n8955 47944\n93167 94597\n24088 99811\n24687 34794\n16137 28543\n87727 87869\n49770 68392\n30378 73267\n29108 66168\n41464 94685\n7504 63348\n36790 40831\n34094 64697\n26557 57558\n39978 67080\n51008 60539\n8102 93313\n3171 82950\n25961 53592\n64725 73314\n27988 70964\n24963 92326\n76893 94067\n58201 65938\n3864 10606\n14181 80677\n58692 76016\n78557 96992\n45203 78868\n47637 85164\n13707 70826\n32313 40175\n1627 53242\n8150 57888\n67134 81900\n13471 75083\n40116 77601\n23917 61412\n72899 89472\n4955 70022\n61330 63855\n6428 62603\n83782 96218\n901 89126\n32649 96868\n66410 85531\n27621 80294\n74552 92104\n14087 63803\n13427 14148\n61284 94832\n70238 92238\n49645 56034\n66033 69902\n41711 47975\n6909 47934\n18715 33431\n23258 44821\n55657 57771\n77650 78542\n19342 62430\n7088 96355\n336 24284\n52592 88160\n15022 56220\n20842 53734\n15090 72769\n48727 67273\n13867 86678\n4905 94858\n32927 41495\n20685 25452\n11674 78875\n54259 58892\n18531 59538\n52005 66232\n65454 84938\n13154 59280\n73983 92668\n68769 91449\n49727 74223\n774 35543\n19888 90570\n25297 88274\n11940 57773\n17605 51215\n82602 96646\n38552 80750\n14509 58578\n24701 38630\n3551 82342\n12457 73348\n33856 89193\n42288 93358\n2217 68157\n9468 30481\n30835 73692\n40137 55621\n30972 72913\n45713 68723\n88567 89447\n71836 79929\n13720 57201\n34762 51154\n39365 62345\n15442 27824\n11121 93450\n4985 91511\n30087 84213\n2326 95172\n12144 62979\n82908 91801\n61515 93530\n4928 14201\n37693 47748\n31654 61107\n10317 22690\n66730 68798\n4854 46702\n63674 75632\n8722 24176\n50223 52413\n59271 61458\n36000 45006\n33620 45448\n408 16984\n15201 99301\n26196 98363\n35049 54934\n28977 55228\n16550 19575\n20811 29307\n72837 77742\n58383 83890\n18463 40199\n14208 94849\n9000 58349\n45348 48845\n20360 75784\n51225 95244\n2942 45077\n52728 98593\n14167 19580\n48782 70092\n16454 57222\n60813 71603\n44813 60347\n44228 51313\n27522 86826\n8188 25591\n80163 86245\n31975 53861\n766 18228\n23477 68347\n29207 96723\n11426 99827\n30349 50537\n11609 83531\n49388 83747\n10059 89087\n41868 64927\n81992 99568\n48492 74606\n40495 81509\n7976 86553\n18148 79134\n14026 43698\n17730 94198\n3573 30048\n66321 94529\n8579 49681\n45776 92829\n41494 76027\n67228 93110\n8358 58230\n10161 14165\n69678 73438\n52677 65790\n54516 73344\n40407 68653\n27155 36292\n30438 99546\n40120 85052\n23200 83677\n17136 98906\n92966 94639\n64693 96780\n1614 46414\n24587 39213\n23695 86083\n23397 56399\n44781 82316\n35261 38225\n13247 56456\n17794 52149\n38285 45550\n12939 90414\n4447 69430\n14383 74251\n84068 87926\n20966 29079\n38570 57338\n44231 93177\n23426 94909\n13175 66274\n3856 92005\n27166 43127\n2197 65568\n67780 79665\n49964 87213\n31076 99371\n20243 65016\n32353 66900\n71868 87573\n18420 87048\n13758 39931\n145 2846\n17099 45740\n20404 38205\n5643 31487\n39049 44504\n8785 40599\n24010 27188\n3534 63635\n58623 65156\n81559 94353\n50430 95458\n25694 30315\n95290 96306\n274 18300\n54194 86283\n31997 60331\n40268 78537\n55360 57922\n51936 77367\n4525 46967\n39157 44616\n63246 68636\n1090 93490\n21590 85795\n15122 26108\n42404 63514\n9242 59378\n49844 72453\n7812 92947\n5773 47483\n15003 49749\n70197 98310\n32173 89501\n18467 38135\n51687 84149\n2946 13503\n58041 97432\n48149 97149\n4513 90787\n73851 99173\n57067 95825\n49869 98202\n81190 93512\n7400 75255\n71693 76501\n13680 63694\n25724 71906\n24736 56624\n35747 89452\n12191 33658\n8097 98493\n23854 78740\n38543 46366\n69300 85814\n6074 32130\n11793 25370\n23000 53204\n65755 81487\n15189 22345\n48565 61400\n62261 72641\n47615 68965\n15375 25767\n3581 39074\n8490 29214\n79611 88596\n84771 93978\n21133 84975\n31262 65613\n28010 28605\n20431 58398\n11203 77537\n10672 56330\n9676 89979\n25890 69836\n45985 59803\n4592 48869\n4820 37532\n23052 99841\n21573 67446\n26366 54288\n53718 86854\n8278 54758\n15938 29382\n61193 84586\n36891 67475\n29385 80647\n53583 61128\n59466 67389\n64002 75971\n32197 99076\n24674 98075\n50692 78407\n9455 20521\n62733 98530\n68960 81474\n39756 75160\n41869 66487\n30810 93680\n70819 88489\n8665 27571\n4754 23605\n8727 52798\n4016 34350\n6803 12220\n33386 62266\n41044 97726\n71093 93717\n48785 89657\n46763 98601\n16838 30344\n47723 68335\n13736 56612\n53744 55756\n18822 59366\n17539 60445\n39489 47047\n55810 56593\n41659 50051\n6587 34218\n8993 51249\n53851 81219\n63032 76616\n55308 79838\n46971 88170\n14488 79827\n20056 57703\n32107 89744\n5650 13306\n3290 27034\n65312 87153\n56204 59190\n1486 62244\n39244 78939\n13821 69886\n9076 81272\n23159 80453\n45759 50798\n187 73095\n22527 79394\n43268 50277\n63001 81880\n19397 48160\n36633 69299\n16228 94547\n89853 98820\n48791 93573\n28236 91068\n44296 81926\n40311 89039\n46964 98626\n17834 32933\n24731 40530\n16428 90895\n64730 73941\n2918 65115\n17746 42006\n21376 22604\n78170 92406\n14224 95342\n9190 14383\n46544 52580\n5647 14962\n48170 75704\n28425 90561\n28714 39144\n20632 64712\n79283 86575\n2381 56968\n560 27444\n69348 83013\n27457 86292\n34433 98684\n27145 88585\n15899 42944\n30888 79718\n50092 64778\n7451 13351\n39858 45109\n15096 45236\n8209 47414\n31008 65167\n1296 86231\n35790 77302\n33509 55079\n90343 90643\n25944 51082\n39816 57104\n4311 60138\n64022 93708\n620 28045\n42476 66379\n7413 36167\n518 29306\n3253 57196\n972 29462\n70146 99133\n48511 55788\n1330 97204\n2956 10833\n18703 66361\n61833 63462\n3492 61025\n20410 45681\n10336 83864\n27916 48663\n49228 94328\n41545 88509\n54409 79789\n27243 77873\n17994 75712\n18120 97774\n3900 34256\n46911 63346\n2999 77051\n29771 99818\n7788 23660\n36539 53689\n60976 85927\n31029 58171\n22068 36547\n5848 26713\n18763 51396\n6416 16481\n27694 71116\n17182 84117\n3015 84443\n85829 91281\n5215 45436\n43124 76896\n66824 81788\n36169 61442\n3259 97277\n53969 97295\n60947 65202\n945 73699\n88308 97313\n3708 60324\n14422 67368\n38263 57658\n70860 94552\n70489 98116\n35884 99667\n26343 38440\n2197 28890\n22922 23395\n1649 95259\n49668 95402\n54683 86655\n25988 77800\n22933 28617\n52782 65495\n48195 96167\n37830 60200\n65476 94400\n89672 97289\n15986 35418\n15511 53870\n48267 70818\n76228 78784\n29985 45237\n43888 52145\n35614 79667\n24732 37512\n75158 96262\n38640 40955\n17946 86720\n56829 81585\n26414 67649\n40965 69768\n39497 68118\n5722 37585\n2540 48045\n9130 21219\n24158 94993\n14505 25780\n13705 82102\n7708 64377\n15178 79895\n25458 68323\n13684 79754\n39033 44313\n51488 90769\n6536 38307\n40875 55859\n18649 36657\n34439 46425\n26879 83769\n11410 79785\n37835 71448\n40173 71667\n1396 46178\n8237 24475\n34416 49161\n46003 80376\n4109 9481\n3444 29962\n80117 90052\n20114 51280\n36246 74732\n72157 80634\n15939 67147\n30072 30502\n28821 40380\n1433 40534\n14652 85934\n18492 61322\n18967 37401\n65484 76726\n2004 37544\n47930 99151\n18639 34898\n28839 94006\n55250 59181\n54265 84012\n5252 15446\n33682 51661\n43197 90138\n87751 98525\n34468 80751\n8853 70081\n72142 73251\n41301 87398\n7210 37946\n32228 86448\n29778 48192\n15372 30986\n19980 63025\n35549 66554\n20445 57184\n5082 13919\n8827 17536\n10731 17655\n2091 62033\n3387 45863\n47189 64320\n36869 83143\n81437 99758\n47819 91396\n4011 16770\n7286 79771\n5859 86835\n73136 86551\n79250 85304\n21028 94519\n30338 81639\n49450 73887\n3418 69901\n47713 80730\n11303 86732\n15898 19129\n63155 93332\n20698 52032\n41397 61660\n39061 61508\n34584 64841\n29759 99793\n14963 74380\n30410 71195\n57354 67735\n21529 26346\n14154 15260\n25510 32693\n3315 34321\n12246 17437\n19874 32613\n44691 69758\n8863 15253\n25972 40045\n7658 72784\n64014 85765\n27031 45195\n30533 48703\n8530 88390\n80613 91575\n613 7979\n86596 91569\n58304 74127\n5366 96527\n46789 75615\n3829 75890\n34050 83140\n31038 77414\n6808 19271\n34239 74927\n20009 54589\n10965 36661\n15871 44712\n37348 91034\n21913 94336\n37451 80570\n23072 45355\n47296 72240\n11002 80249\n3450 16983\n67230 77212\n3481 41027\n60130 63907\n6904 25263\n43557 57613\n17982 29853\n13781 71381\n39151 65883\n27660 92594\n32006 64885\n18024 87520\n12610 95070\n58539 93907\n3181 67989\n33751 57862\n55561 98897\n56873 85596\n45956 83734\n11944 60087\n25516 49633\n25319 84311\n40206 72210\n24964 91686\n34619 82684\n15982 77162\n4742 24555\n24432 88831\n60246 86266\n14118 36601\n58620 76691\n27216 42481\n29232 38867\n15365 63560\n6167 92154\n19297 43475\n6172 71304\n17973 98888\n38577 88848\n55895 65565\n56712 77049\n46707 58251\n44657 49336\n938 31066\n10488 63017\n16183 78888\n67516 82337\n59604 71866\n29126 47607\n19079 37387\n17187 89633\n81343 93258\n59717 65037\n26238 62008\n21878 31899\n21339 66793\n41081 96804\n63655 82783\n46426 63813\n23674 99059\n28232 83734\n43034 54111\n24480 82375\n42290 47125\n35181 89685\n2281 9356\n14078 63583\n5578 70831\n5757 35164\n40496 58669\n25055 81378\n13305 66873\n19102 85099\n54581 68292\n60885 89876\n19895 32607\n69174 82577\n32767 50600\n92139 98239\n2785 48295\n11608 40031\n43368 43402\n59816 67829\n33003 88888\n22669 77726\n47121 98250\n74765 87124\n50494 63702\n38289 45513\n10920 89709\n75961 77640\n42494 55113\n42026 59814\n24150 62424\n27585 91677\n79088 99107\n80387 94382\n19243 53653\n22021 88896\n44914 73844\n3978 66223\n28961 81618\n52261 64234\n71012 92661\n22305 53863\n47235 73254\n18085 30218\n20738 83312\n56961 87745\n43844 63848\n84900 98887\n14514 58267\n16292 35836\n8123 73422\n51791 62778\n50245 67920\n58994 61365\n3638 8624\n11666 56176\n35266 55020\n3135 77851\n48102 72910\n28688 99718\n19178 56258\n23535 96078\n71435 95386\n4195 17989\n35776 77345\n84772 89460\n22404 27902\n41872 50268\n51749 92169\n9959 16590\n31217 71182\n19127 43955\n29845 88740\n107 76057\n58034 66704\n72884 79577\n57496 93838\n20950 23346\n13083 83364\n87538 96177\n6955 60393\n13303 33404\n1615 17103\n38215 84110\n44749 53233\n19346 77883\n25372 99457\n27160 75698\n29631 53449\n10456 60753\n3021 34925\n17365 70967\n63688 96747\n84114 89449\n34678 35254\n25092 46014\n29577 84856\n3912 96579\n69369 89406\n32061 74043\n9744 27215\n6833 96367\n37314 67606\n73969 96574\n57941 76677\n26303 42911\n12348 29414\n44250 80309\n40725 87857\n21035 38274\n6937 13029\n1536 64234\n19952 28481\n33890 42065\n19683 24727\n2009 79688\n21113 85026\n28735 71720\n62903 67116\n86213 91602\n52517 72407\n39505 83868\n19952 34957\n53675 84247\n95545 99801\n47106 50492\n33663 90940\n11033 90884\n24503 25094\n56545 84308\n46709 71957\n26146 95562\n37790 67354\n16422 69604\n7692 59297\n5713 39976\n5605 43473\n45927 65519\n46341 93225\n86001 98261\n13600 22126\n24171 25663\n59285 65633\n70658 72517\n38523 74926\n16317 47018\n13530 33017\n12457 89197\n33530 94597\n23134 63743\n22565 49588\n10085 27043\n63383 82108\n27097 82058\n20360 81822\n21069 76961\n62214 81057\n14767 93990\n50824 55475\n9776 75059\n446 7635\n7911 32332\n47972 58771\n20411 80767\n57911 66133\n8105 53776\n34454 46618\n35041 87072\n2312 60396\n70892 80961\n12587 32614\n12347 48882\n73175 99702\n9331 24039\n9251 47636\n21352 91438\n10347 28171\n5482 97614\n23032 95624\n39874 82192\n41937 76540\n62429 91234\n28683 52775\n41413 53796\n23430 90881\n6548 24918\n17327 81792\n35119 66874\n65307 87630\n21464 92719\n62320 92215\n13051 20558\n34849 98203\n66888 68790\n12749 16484\n32530 48080\n61482 99780\n12906 85797\n93501 95823\n30512 85658\n37693 40027\n42909 88126\n45076 90907\n35133 46547\n56576 67079\n37449 47640\n30086 92646\n838 79628\n8886 16393\n22737 57571\n12307 18624\n34984 81989\n28483 47378\n685 74299\n69034 96795\n74569 98042\n25394 86852\n30981 65016\n85303 98300\n75812 88069\n15052 70781\n24147 70615\n8195 26563\n31179 59474\n18570 56343\n12454 49529\n39734 66516\n6002 81257\n21230 45623\n4552 24586\n68150 98027\n64906 65422\n60078 81230\n18624 28177\n71694 96504\n56417 64326\n66825 86464\n23837 85402\n15659 87189\n67914 99741\n36208 42869\n82889 95039\n15161 50889\n17691 56821\n15921 55414\n22955 58098\n56223 86564\n33959 96857\n11936 70265\n61203 68509\n32542 57812\n27067 68889\n31041 91317\n41730 53542\n46857 88007\n17572 52316\n43892 48217\n55707 63219\n48687 96001\n43112 69125\n44886 69924\n61207 98571\n24103 70309\n59639 95387\n23596 95173\n60032 88496\n23079 55994\n79970 89206\n23729 69166\n70026 89380\n24599 61621\n10807 88681\n19282 51582\n11283 61935\n31274 96480\n63031 93666\n28159 63267\n72352 75329\n5748 49830\n44216 99395\n63676 82717\n60114 85028\n50813 63792\n22693 70736\n48764 54606\n53138 63960\n40567 62544\n73455 82742\n21437 33985\n17002 68377\n37114 54508\n28275 98504\n1056 11726\n41347 88347\n89129 93546\n16488 51944\n48910 97265\n85604 98172\n39155 65119\n24721 46641\n10036 25600\n46038 99836\n25641 51237\n19940 33934\n12214 38956\n10433 48794\n30742 30988\n38039 41669\n32582 51824\n83467 98315\n91213 92084\n84901 89551\n704 30189\n10954 54208\n41554 83494\n14454 77405\n10170 27040\n26948 35281\n36975 40016\n36968 81371\n6612 39861\n995 52050\n32155 36918\n74376 78253\n692 27300\n33019 64290\n39187 69047\n45763 69201\n8368 61115\n60596 86088\n56227 60693\n41406 50984\n38377 46927\n383 82577\n12390 13187\n50963 88116\n70529 78198\n24660 26420\n40305 70733\n55658 74464\n4804 43466\n56131 74977\n34913 64860\n26359 45694\n38712 69444\n21889 41842\n36581 45838\n16267 32809\n64116 93945\n7474 55994\n47371 97371\n55872 82938\n45494 87605\n1258 54638\n16373 81671\n36990 94451\n25722 44789\n4269 81179\n71608 80442\n54128 63070\n27153 75406\n8790 76369\n4268 66144\n53885 61734\n63285 64204\n32036 41925\n31301 80667\n42266 80089\n86034 92023\n32846 75537\n32391 60890\n50337 76387\n40575 98886\n7272 80756\n64160 64489\n70610 78434\n31124 75739\n9358 57513\n7533 66743\n13676 40981\n41835 61061\n68540 85078\n20010 93709\n86516 94967\n12703 13695\n32717 66162\n25487 40710\n28637 91942\n16396 85555\n5518 28450\n21933 81512\n35345 98700\n14530 27340\n14490 86438\n45044 78019\n41762 59936\n52792 63880\n2590 37986\n19151 51570\n61110 80493\n6696 92035\n9139 69002\n4291 5437\n33798 40265\n1084 22911\n75840 78689\n63580 88918\n13991 78728\n3484 32235\n19020 25595\n12067 26183\n28354 81507\n39760 59962\n5906 98298\n56090 88023\n48912 64800\n76098 85920\n33768 99635\n6184 29086\n61737 79391\n46590 74411\n21858 82597\n36509 47523\n90909 99640\n18274 58253\n34611 45731\n56822 74798\n25010 43208\n51699 98209\n56107 99075\n29188 35043\n47396 92639\n58443 69314\n24749 85800\n54146 67912\n43381 81518\n15093 80700\n61100 72197\n67535 82453\n19386 32504\n2347 37812\n29199 31633\n16221 89028\n16782 49102\n26905 69938\n48634 96089\n8640 59152\n29070 97752\n1697 55299\n13954 77448\n16396 92205\n77452 90844\n18043 64008\n39225 67633\n2219 43850\n26901 86389\n75648 89053\n8983 24552\n15435 33256\n34852 95744\n8905 51763\n44292 81759\n84131 94796\n21786 33554\n30629 36298\n31975 53624\n21807 44375\n7022 32425\n48842 69785\n28126 63842\n26927 31759\n22576 65100\n30119 30217\n86297 93659\n3140 33721\n45071 52338\n65202 85351\n34267 38424\n74887 78267\n75 73841\n22614 74685\n4109 87998\n71447 75270\n51203 81659\n1556 71799\n67978 69714\n14617 17919\n10834 82771\n20510 21597\n14947 31148\n30969 47893\n41042 66346\n3115 56399\n4523 26205\n8255 44308\n49120 58780\n11627 32865\n20592 34125\n67632 97597\n1230 35771\n33460 35754\n2541 50235\n85328 94312\n15658 78727\n34229 48221\n52808 76264\n19105 95327\n95203 96612\n361 80019\n18523 26635\n21148 43590\n689 95660\n9486 58318\n37097 91060\n46983 81402\n94454 97644\n43840 52433\n53159 72059\n18701 31977\n61314 89209\n5975 76689\n18338 52149\n71379 78617\n11007 35554\n44543 94672\n7630 78842\n16677 39048\n3351 49994\n50253 59556\n6452 88655\n12189 92318\n12097 56636\n14473 83275\n17705 63553\n33751 97012\n10524 25877\n16082 62734\n71116 81143\n35651 58288\n47561 75963\n12745 32330\n22176 96381\n20290 92683\n88532 92188\n59153 78079\n25493 44283\n75491 96896\n12790 32038\n18224 83088\n77322 99108\n42399 96177\n30716 78821\n11040 87636\n19228 33856\n57687 97651\n47705 82988\n31088 55382\n49208 82811\n17674 64888\n52179 79273\n72709 79771\n26622 68770\n9106 12671\n68442 84368\n33234 81560\n51958 92201\n3197 93419\n80755 98834\n22992 69579\n52665 77716\n78382 97748\n44222 54810\n46539 68225\n63705 67565\n17833 62665\n53210 73259\n14150 54444\n31937 52324\n4680 24836\n19557 29078\n26377 40808\n53894 70992\n79716 98195\n60033 60129\n20061 54464\n66282 94507\n66523 72465\n91627 93330\n63903 99508\n2992 61008\n60818 62376\n3183 59291\n7967 39206\n24366 49935\n12928 99392\n14216 89126\n25253 60276\n13573 85098\n53027 93871\n9286 77620\n4275 46174\n21041 79190\n26854 76825\n19935 84254\n50822 90710\n62882 72390\n17857 53167\n26591 66294\n76062 95077\n3420 51116\n11379 78367\n17065 66876\n26856 64284\n67616 96423\n21370 80168\n74155 87855\n6403 73723\n10861 48665\n34122 63543\n45042 89074\n59587 99618\n30473 90111\n60307 70271\n51815 93687\n56347 84990\n27005 31829\n42182 65404\n11112 50226\n9470 72617\n10345 51807\n14549 61908\n26584 44154\n38828 65802\n80397 97095\n75013 78095\n7268 26500\n19522 92641\n32101 85451\n66961 96248\n719 47980\n15674 30191\n28614 49194\n41349 95345\n21612 59129\n22808 89576\n66266 75860\n13581 32336\n36718 96049\n34494 69330\n46049 72129\n23736 96640\n66009 99992\n32125 52635\n6713 33574\n27451 53365\n58694 94062\n15216 57999\n5373 32473\n50706 55554\n64457 97762\n43307 67652\n30539 86971\n72893 79068\n40695 80471\n38020 59732\n47684 91249\n29049 80056\n21568 43326\n12774 26553\n50507 80099\n96387 97894\n16474 94849\n42253 58008\n15969 56433\n13328 51379\n38239 74950\n21616 92351\n68549 75178\n22192 28333\n59455 66736\n31948 51909\n54707 88082\n4344 21214\n40883 70367\n31743 79425\n55683 69516\n23249 30674\n53137 89425\n5200 20831\n10249 17420\n33414 47868\n40244 69899\n21003 35711\n37536 98276\n65399 77905\n56799 93011\n13365 67680\n12043 20210\n41574 57994\n38565 78041\n59802 93437\n63031 91550\n22457 97630\n28801 77693\n36989 79031\n5072 56826\n19578 31303\n13017 20114\n16399 38944\n8136 42909\n61413 72768\n58562 81461\n7525 55955\n29316 88211\n36149 66541\n20971 61950\n13528 77252\n7471 61241\n481 76467\n17866 59924\n78372 96208\n60932 76917\n30181 88238\n47560 62125\n41400 84068\n60735 89700\n23372 32652\n90411 98746\n36344 87222\n93589 96175\n9430 66172\n68111 84814\n33334 77636\n19876 81138\n5092 71196\n32490 36114\n46492 57698\n3947 58187\n22111 50436\n60907 96986\n52250 59665\n50301 53809\n51232 93841\n47182 66817\n30663 49420\n62455 93444\n29288 99512\n2785 24411\n67784 80330\n19856 96368\n29218 31358\n20983 38265\n15597 58389\n78169 87203\n10450 22365\n16795 21903\n76887 95356\n22378 58975\n6323 37642\n13510 47498\n8689 13800\n16489 26829\n53470 87519\n62324 65697\n12737 64391\n172 91072\n31854 74373\n34117 93311\n13215 69009\n73090 77200\n42910 67769\n77721 96568\n7644 86423\n19929 73118\n7915 12601\n1300 44430\n6217 13173\n27758 93032\n47645 92435\n12507 76362\n33645 53629\n68157 88012\n71196 88149\n18041 35087\n2403 7186\n52499 65381\n39522 74319\n10360 70817\n52709 95171\n30935 58775\n51993 85028\n91358 99120\n26408 61263\n16123 79169\n20670 44298\n16304 19443\n66295 73617\n37138 59925\n41871 73505\n676 95798\n81201 99539\n50611 97469\n70252 79210\n16662 69074\n35527 36215\n11863 72949\n57792 66388\n65802 75827\n67629 95849\n3922 80538\n71691 76212\n2148 42964\n58876 78534\n48260 99967\n198 60619\n36292 59443\n20007 99371\n3420 64847\n52105 83132\n61510 61970\n78134 94427\n27242 98503\n17666 78638\n8622 35609\n44834 69055\n24007 30530\n25982 91759\n47404 94207\n7350 30784\n38709 74629\n8079 87188\n71421 79882\n77876 97562\n43177 98612\n35842 67632\n52941 99426\n28143 33148\n20285 67322\n42860 89475\n13250 19757\n24115 94164\n10087 30313\n19554 87373\n3687 94069\n14656 55837\n63018 74503\n47280 71959\n15660 86266\n13757 66216\n39071 71179\n42239 98794\n6707 15341\n59066 85698\n33435 37711\n64054 74503\n10257 20323\n25057 72718\n43624 83506\n32888 69925\n28740 30013\n73483 81569\n28358 56599\n30498 57063\n4480 44973\n7394 33591\n40229 86220\n40744 89015\n29287 62654\n39951 43402\n31143 87624\n50404 87930\n77950 95242\n51448 70400\n11916 79648\n13374 69407\n9845 88360\n10970 87732\n47479 47584\n47012 65037\n16568 23941\n36929 80829\n15718 67118\n21423 72235\n26141 72571\n23653 89649\n38890 90021\n10456 89997\n67996 87946\n88369 90473\n92785 96110\n5834 77171\n33143 59681\n14098 64241\n9029 76478\n32064 91631\n67039 92205\n62467 78329\n59071 96535\n52492 93804\n8707 26910\n5918 44136\n46878 94728\n8552 55719\n34164 90473\n16037 36107\n41362 49456\n49347 65873\n50159 79646\n40847 75193\n20420 46265\n19674 59544\n22086 48901\n52191 75085\n39724 44772\n30920 93483\n12797 51631\n54058 86675\n19107 57179\n6062 9107\n22591 54287\n40738 46959\n25846 99567\n16704 48745\n10646 30951\n49030 71071\n20281 32454\n60294 86490\n13722 35431\n67571 85889\n8662 40315\n25872 85559\n18922 63364\n80019 83917\n49408 80058\n49210 58825\n7525 12237\n73561 98476\n31753 57531\n84213 99700\n58035 89711\n38283 85256\n22151 46575\n4602 11488\n57142 87505\n48318 95883\n38693 96804\n27211 96820\n21748 81677\n57266 77492\n32818 64033\n18799 82677\n86940 96267\n34738 92705\n42100 53536\n22442 81099\n44009 69639\n42600 89496\n64545 87387\n37941 67059\n38910 57934\n51007 79507\n21556 29322\n14816 34558\n75207 99693\n7194 11468\n9159 25210\n23599 61258\n2297 66892\n30289 87152\n27560 42777\n52227 62221\n29145 42124\n63068 86620\n5599 26008\n26113 67671\n19523 44007\n31293 97751\n37246 82667\n426 82308\n29391 41153\n4892 62658\n25890 65883\n12996 14130\n8706 62088\n63803 88812\n5740 66778\n66781 75515\n5787 35588\n40019 97974\n39317 58876\n61084 94795\n38572 52777\n15810 64300\n14058 28607\n15248 90133\n201 7566\n76077 96469\n14332 47424\n86146 88837\n49950 82249\n45276 69562\n10298 53504\n55211 81789\n65640 80548\n42914 55366\n7752 73648\n51643 54092\n40808 87597\n15564 71304\n47158 57113\n48681 97544\n67831 69972\n40498 58674\n52005 55655\n16271 91593\n39855 81236\n26157 39383\n11616 90608\n44534 76396\n18809 57754\n878 33992\n31841 77909\n60744 99874\n71723 97291\n35031 82091\n28597 96011\n23104 88923\n8121 39367\n6660 92784\n6362 99933\n25966 30457\n60896 92405\n13581 57474\n49867 68091\n40008 92710\n9723 20760\n43571 75024\n57660 86667\n10732 33827\n47658 85276\n57024 78849\n23515 83832\n57420 82673\n23968 53980\n17137 77320\n28344 50310\n15804 41917\n62601 68013\n38945 92312\n39185 48415\n9886 91388\n23764 45940\n27816 35435\n32712 88352\n49349 60951\n17338 94898\n52183 72660\n73888 76354\n32789 39649\n57037 72731\n89838 99162\n76096 93993\n188 43784\n19085 92804\n22950 66882\n28552 41138\n16413 57335\n9078 37815\n22483 69040\n12979 24702\n36035 73515\n2930 74069\n27099 85552\n3883 70456\n1696 86478\n41153 58591\n69073 89504\n30759 67453\n7540 41310\n34874 93732\n13253 51427\n17242 51967\n12408 51692\n73048 77408\n11102 45699\n62356 77131\n29793 67651\n20741 36801\n11594 30909\n82435 96188\n3997 90383\n77656 87766\n21640 51129\n15099 33224\n45803 47678\n10301 89910\n9758 17762\n7560 59919\n17409 44000\n41632 78088\n76572 78554\n9986 30508\n6580 66484\n69160 71582\n37809 95499\n18172 28600\n14247 65854\n15961 72510\n42012 50123\n68047 84370\n76344 96585\n81080 98894\n25373 88502\n34184 68358\n21712 51728\n84315 91711\n23031 43253\n76804 94350\n70118 84946\n76463 77412\n25828 46936\n17577 99049\n20301 32403\n730 88427\n41733 66133\n22542 73155\n2425 83993\n6640 70268\n1903 82434\n57654 84711\n37600 99469\n57644 95266\n12900 73860\n16021 19884\n48062 65686\n55680 56989\n38965 42764\n9525 55883\n7425 45954\n65706 89968\n38836 84294\n5134 99323\n17998 75878\n32356 56505\n11295 63787\n40298 98157\n44544 61463\n69665 76857\n11827 41271\n25936 88555\n71733 91543\n5949 31566\n20512 83634\n26280 49266\n29626 93786\n48530 98019\n56022 94508\n23021 94854\n20590 54758\n3902 41820\n2277 49606\n4551 65489\n9374 21616\n29273 76524\n59028 87645\n26328 49819\n16478 35885\n16095 69740\n33952 66831\n74215 81365\n52371 67063\n50916 60150\n12610 15717\n61623 86401\n21362 60056\n31741 65622\n31164 32742\n57157 86523\n5131 94453\n14206 37903\n62090 74213\n67449 99094\n60874 64120\n19025 42758\n79114 96705\n40240 76847\n1160 15014\n11803 16740\n12925 86050\n79993 81632\n11231 33945\n47381 77385\n75500 76099\n14576 20638\n21850 74202\n3651 18252\n9236 23873\n31451 99663\n63261 73054\n16345 62822\n15266 74603\n68212 99463\n39206 40759\n34032 94736\n34423 92525\n18959 88819\n29957 46854\n7671 89572\n9162 19882\n444 34020\n53780 93291\n45167 59033\n37184 46280\n21619 67914\n24775 52952\n24625 27257\n5659 29794\n35293 93438\n7199 46813\n73869 79690\n31056 33192\n4673 55206\n44756 50559\n40623 64417\n37687 42613\n4566 14049\n33934 79294\n14850 99095\n1187 83362\n24913 45995\n33233 34331\n63086 90020\n48436 76448\n4568 25076\n75381 77003\n88393 99664\n23830 38046\n4046 6957\n71243 77270\n66136 69463\n14471 26302\n23253 61790\n21858 41691\n29644 75806\n45422 85246\n64528 88552\n9951 12650\n1690 19783\n613 79722\n21692 50007\n58135 91817\n5174 64530\n33461 55840\n62252 98201\n53412 92971\n10560 53521\n6708 7818\n23526 25851\n47251 92137\n37912 73201\n14271 94413\n8235 50639\n27401 60128\n45872 53290\n20013 55191\n72168 95523\n49193 55606\n46195 50752\n64471 70537\n27640 33957\n13465 24293\n34951 88910\n33329 40517\n56516 83297\n3190 72722\n29733 91722\n59478 97548\n8969 97111\n2526 74062\n20933 32753\n16327 70300\n7038 20865\n9489 52829\n29801 67408\n21517 26972\n41331 45126\n74405 83960\n64416 94797\n12294 60770\n3767 73442\n57439 68579\n83540 91385\n30115 57626\n40572 60942\n7342 77695\n54691 81926\n32295 79224\n26750 98251\n54239 58099\n34379 99955\n31291 40664\n83140 86433\n15143 48783\n8253 49959\n16866 93250\n42258 61500\n58205 63661\n935 8594\n15937 23305\n18646 48723\n79002 81380\n53643 78562\n14168 50200\n32645 85507\n36232 72892\n37054 69114\n22959 52758\n23722 74521\n75757 92543\n32653 44607\n82127 83227\n44408 52938\n62453 82723\n32804 61244\n24801 72410\n37637 89495\n57887 66195\n14420 73298\n78390 86971\n31181 93545\n54175 66165\n69760 85411\n35716 40935\n10286 19943\n3007 26939\n67171 98441\n43623 70290\n90193 90767\n9906 49721\n1037 19263\n1848 66315\n29448 55103\n77189 81229\n79945 97592\n11415 48139\n33807 49078\n31048 33580\n88205 99421\n58704 61949\n5792 9736\n10792 17890\n32200 51290\n3855 90459\n51260 63679\n11488 26150\n42586 84870\n53272 62467\n42594 89726\n7795 80378\n68944 86291\n1993 65079\n12455 66340\n2795 10186\n1030 7865\n47389 88542\n33688 98852\n27662 94966\n53849 86577\n24716 84022\n16044 94351\n78215 86618\n86341 98074\n11369 62185\n67992 84799\n19516 87340\n33982 90436\n59727 68809\n20828 55888\n7866 62236\n9132 89003\n5473 36513\n738 86558\n63491 79315\n54581 74256\n56698 88219\n14522 36858\n31879 80672\n65379 89024\n13047 90191\n43684 63209\n13561 88858\n3676 93264\n26247 68971\n22860 25956\n19708 65633\n11142 76847\n608 15675\n6903 42757\n52298 93318\n14718 46548\n57741 57752\n15979 49559\n6056 53474\n77218 82253\n83715 92071\n9612 55358\n54467 56057\n8888 48335\n23897 79654\n40825 95292\n12003 13395\n26320 41626\n75984 76590\n76653 87168\n60493 64323\n47784 54429\n21167 39447\n49154 75560\n61557 95350\n83859 99597\n28727 42294\n76658 97010\n46884 80943\n16898 81075\n10010 44246\n24560 47622\n40398 51323\n67503 90599\n40023 43740\n29148 96698\n55436 82111\n40679 64842\n19655 26337\n30050 97407\n35205 41451\n45208 94691\n24740 93613\n30456 85653\n17549 96669\n19804 99927\n3846 61257\n8742 25487\n20992 39577\n8955 96192\n22442 36489\n28399 83933\n35956 64021\n37237 39043\n8945 62046\n9543 22404\n62441 73311\n1996 6277\n50035 78793\n16599 29578\n61411 76706\n16827 39308\n57516 77370\n32917 69762\n70778 89991\n14042 80515\n71647 81461\n58644 87877\n39344 50552\n88173 92975\n61714 75223\n1360 17150\n7713 66034\n83545 91669\n22728 34245\n65648 95562\n41409 94836\n7835 10556\n225 92010\n26676 35754\n9911 69792\n31858 64781\n35501 82009\n39762 41067\n22376 81592\n64394 65662\n40997 94193\n80578 85608\n20679 77761\n67762 78428\n50638 79342\n15296 65690\n59822 91455\n37140 86660\n75351 82393\n27296 31113\n19452 75177\n14113 44683\n16780 83315\n4225 31529\n2152 22962\n56554 80255\n76733 90131\n6609 77250\n4114 96800\n47985 72314\n54729 77513\n38372 82801\n51642 94528\n43689 65654\n40314 86946\n16483 29149\n11150 56374\n1135 56963\n53408 84629\n26039 66703\n16730 61166\n927 14045\n17798 28228\n4847 95039\n61509 76716\n75343 95858\n5210 59415\n56348 97444\n24243 96371\n67694 97373\n59071 83261\n2507 17532\n29938 83285\n13519 82586\n23494 38823\n36383 57357\n4814 76332\n47432 96597\n50751 99489\n69008 87005\n63713 97019\n9511 55304\n9808 65604\n14990 57039\n20407 84772\n63830 88287\n13640 84292\n44800 52759\n49077 80818\n31272 33840\n60869 83489\n67069 82072\n17529 40246\n95673 96084\n36094 66531\n13900 92523\n53239 84729\n37044 47188\n11892 83949\n47067 78477\n25495 57042\n13644 99800\n37159 95999\n8495 31977\n74763 77750\n75261 85277\n8506 61995\n17937 18044\n25101 69726\n36957 60728\n64911 86802\n2851 12437\n49834 61531\n40747 92056\n29335 76664\n62379 68085\n35594 96496\n34184 70957\n11352 60146\n14176 50335\n39116 72276\n6162 42257\n54974 80158\n35060 89160\n29007 80619\n35480 76927\n45161 55734\n15511 30833\n41486 43051\n3930 63150\n92 96940\n30308 89903\n32494 71805\n36749 89736\n658 19006\n51299 56686\n44613 93824\n20123 69689\n56454 57638\n38226 42688\n2308 49535\n6011 19430\n53175 74766\n14170 58975\n66748 67257\n53192 69013\n28839 33204\n2541 95374\n32880 56631\n15484 30167\n23176 63344\n74001 87618\n70421 77404\n28711 97593\n37653 49244\n81584 86783\n35059 63029\n65462 85997\n91880 92368\n8365 14997\n30559 31467\n17260 99958\n20220 59003\n10549 73846\n4821 88348\n47680 50251\n3110 67768\n3282 53712\n27306 83739\n5556 7625\n3026 61245\n21324 80929\n51059 95423\n19480 68356\n23571 68397\n16961 74467\n5034 97438\n7353 59477\n26578 60507\n55334 83221\n29505 71318\n21289 94996\n22075 49115\n12326 68848\n2484 65338\n80873 97193\n16433 91570\n23225 25247\n40086 77117\n37709 95479\n28121 61647\n50525 55828\n10379 46832\n85147 94558\n6107 16988\n32599 46833\n15996 22638\n26412 63734\n45829 57707\n28904 35166\n12061 81173\n43115 48210\n53280 90654\n57367 99054\n20119 32026\n34032 54394\n18328 55723\n33556 77335\n13320 55747\n63811 86129\n72841 89359\n27281 74763\n8177 52747\n55541 94997\n10650 44001\n80743 95503\n43795 60548\n27620 84089\n54648 92642\n5877 7276\n3543 26629\n63768 75545\n45838 77792\n40854 55296\n32170 89116\n15720 37903\n20592 75022\n13656 49881\n500 31649\n92717 98565\n78038 86990\n81044 86122\n19898 25343\n71820 95001\n9978 58645\n55068 74110\n76230 91919\n37004 73504\n72027 87240\n5323 76286\n70599 76308\n19241 50449\n15144 70112\n57437 92577\n42642 67924\n78568 92064\n26800 59845\n66402 87219\n51460 90395\n38022 87574\n43675 78739\n24655 73315\n37867 94878\n2781 56327\n45674 63338\n10063 35153\n33640 76416\n24735 74425\n20938 23997\n13422 88646\n73968 88037\n60220 69334\n38075 48653\n35204 89177\n78465 91664\n77621 86710\n30602 39335\n44921 87619\n41334 43280\n76313 78638\n10984 60649\n35235 83404\n40798 76484\n35676 38361\n3839 91686\n29251 79501\n49494 94892\n17547 19795\n26522 46328\n15397 71800\n19019 51729\n60438 87024\n22499 65009\n85240 94689\n22745 62896\n37372 59656\n34457 75551\n9511 31059\n13290 73282\n20934 62060\n7783 53704\n42526 72044\n2307 49686\n4090 67490\n28566 99429\n2392 69336\n57161 65386\n85526 96960\n53636 85601\n10950 17694\n35495 49137\n17096 45361\n79824 87918\n20256 27733\n28378 92827\n10441 88591\n37827 78456\n68938 80032\n23516 59131\n31666 90404\n24558 58352\n60812 69812\n6580 45057\n24980 92588\n71309 75097\n65843 89361\n70562 94900\n52693 85266\n73590 81100\n19191 40981\n26179 60655\n7315 99308\n30956 70479\n27335 47178\n12043 15719\n26266 98141\n68899 86284\n15609 93426\n2624 69772\n71221 96566\n51985 69642\n897 2021\n6666 28005\n32758 47734\n6761 46806\n19000 72307\n56949 66302\n44035 86985\n79364 98273\n43792 80283\n69816 84631\n370 38760\n90727 91532\n18055 44464\n10991 22524\n40468 58443\n7135 37762\n15537 19144\n39132 51244\n70570 95763\n44454 80850\n5253 85150\n35607 40153\n1746 20396\n89178 94718\n18065 69210\n2590 81192\n5846 41635\n16155 58499\n15198 25035\n63177 66575\n13211 92323\n60506 93951\n42171 95860\n23431 82467\n52485 78069\n42450 50476\n51321 77639\n10663 77151\n72739 89109\n38886 93293\n53523 92969\n50923 76649\n7790 33567\n35811 91737\n10688 21961\n34137 44352\n39261 59488\n26099 71488\n8443 65562\n686 27284\n46451 60587\n1237 68119\n28921 47356\n43345 74173\n52741 67807\n39723 62372\n77852 91933\n20401 53865\n11523 94313\n55174 77045\n34080 37434\n28904 59817\n16 78902\n28123 85002\n24075 45353\n35435 83468\n11632 56029\n5146 97518\n68484 83026\n34810 46546\n5065 37237\n47602 69620\n49078 98117\n12730 92752\n47300 65515\n2107 62125\n72581 96726\n29850 53017\n35737 46562\n48643 77717\n21679 40128\n49968 57795\n80219 92448\n10116 26223\n14025 70452\n41054 74658\n2378 2991\n10354 30664\n33792 72912\n10829 97993\n53941 55578\n3885 50112\n61736 94080\n84177 93172\n7946 81588\n55664 86386\n59453 67979\n77369 81806\n1842 64130\n22769 88258\n3768 25923\n74952 76632\n4436 78582\n60054 76259\n12181 88047\n20057 35963\n38582 49503\n33739 72905\n26602 35521\n15657 68404\n26869 99309\n60203 88305\n43555 79752\n68664 88046\n17614 68934\n30703 34163\n48839 79526\n24211 66957\n36770 70530\n59748 76984\n13271 70349\n31213 42379\n8276 15851\n18080 78146\n28830 39833\n67989 95010\n23190 85441\n59427 73115\n762 56106\n4767 12507\n68875 81313\n5750 42957\n39511 39568\n12595 77716\n34004 62048\n28209 64972\n6253 31202\n19125 64639\n26270 42796\n38455 82705\n21185 53460\n1447 40425\n10906 13241\n2874 10023\n27618 44998\n3516 30817\n2879 62763\n18415 49317\n64895 65480\n47263 55907\n4706 81519\n35977 69278\n28330 37364\n29911 94128\n51194 84149\n5690 13661\n40158 73659\n3257 86060\n30932 47875\n13291 72707\n32321 50643\n22952 83902\n17791 59709\n31365 41818\n1864 92205\n9744 20518\n7561 29192\n27218 65118\n5949 64919\n44929 94933\n1869 13952\n63867 95762\n9363 69990\n10745 19875\n56688 66612\n38309 86986\n3873 69297\n19994 51614\n25932 76745\n76895 95985\n92683 96283\n10757 62329\n48708 57557\n51930 53323\n4082 54544\n38776 56000\n51732 97208\n69118 72937\n7431 98751\n65001 71962\n4944 36833\n2804 17880\n72025 90058\n24020 62426\n7785 70835\n58107 85296\n17939 53573\n38565 80048\n8902 81044\n9646 66771\n3241 69441\n19271 64703\n14933 53120\n5099 32356\n26789 64667\n38420 97521\n11948 57307\n11948 52898\n27022 59353\n10519 88257\n7386 33762\n48893 79591\n24249 27322\n4151 37907\n59795 99480\n26096 57182\n14675 78659\n76638 82714\n28207 33609\n15218 48133\n2845 32995\n60517 66078\n19037 61281\n70621 87024\n47276 59221\n1826 10723\n61788 94006\n32752 81299\n52764 59496\n62033 72852\n2198 91072\n37863 84445\n84454 94513\n35305 92216\n15454 21367\n28894 48613\n42974 80080\n82378 91040\n10952 94958\n71220 80919\n15226 41403\n50772 71762\n12538 95873\n7857 45760\n864 56386\n73181 94925\n5801 33498\n16327 35493\n51013 80362\n8530 21938\n9825 86593\n71070 85591\n30207 38124\n30114 57005\n63928 85161\n41397 51312\n62210 89813\n14129 45725\n75213 96057\n58961 74855\n16533 55463\n30554 93574\n1492 13512\n36730 84492\n90449 98468\n10860 60677\n1679 56203\n36797 75381\n68488 69986\n9551 10530\n36435 69294\n92092 97396\n60696 85391\n79345 98717\n29091 48382\n14144 16480\n21360 57683\n57935 94570\n47518 78140\n883 41448\n15352 51622\n50792 92166\n5736 14555\n92026 99085\n5062 91755\n69635 98025\n15152 26180\n9759 77555\n72447 87620\n10600 50255\n86895 86958\n25471 53922\n55398 80415\n39716 94632\n3006 3303\n20881 76971\n24626 77516\n74080 78315\n16715 63839\n36068 40826\n35381 35663\n78803 85353\n26850 33294\n6178 40706\n12844 36812\n49003 87854\n12374 24081\n30154 97268\n58434 66660\n31031 99623\n13695 99788\n69812 72500\n26036 33699\n85473 85902\n17913 26366\n7132 61900\n13596 91828\n15253 95802\n12193 74911\n5421 99062\n23358 99579\n11492 68460\n90097 94544\n45812 71943\n839 27009\n13692 94609\n21650 85331\n65777 91299\n810 31715\n33925 86826\n2279 57761\n18433 64397\n37823 93086\n69680 82665\n11769 24148\n28008 41511\n5883 84163\n2630 7226\n10729 29240\n49202 93122\n46219 78985\n12901 27588\n21554 45226\n22194 90215\n39805 43133\n41290 72635\n1671 11801\n44656 65582\n69831 97383\n8464 77908\n1551 89027\n2597 83087\n56672 62908\n28974 87076\n59431 90302\n9433 11189\n68175 75751\n34064 99742\n56789 79432\n36401 62971\n3430 51645\n59056 90866\n65706 76999\n26522 32019\n52306 53276\n12571 82596\n74694 87113\n25761 69848\n9594 19307\n8509 51807\n28636 29104\n35701 59502\n14464 38441\n46345 65011\n44990 64978\n27239 93045\n18279 85165\n78693 86638\n23309 94123\n66970 78527\n63563 79822\n51296 89434\n2854 83418\n83432 90785\n15679 34641\n20181 75174\n2640 39828\n3543 8788\n45397 45761\n39357 52150\n2594 24200\n29612 84969\n46723 61454\n60135 81486\n12108 21579\n4403 19337\n4908 43274\n41680 97809\n2082 58956\n56185 82343\n215 91865\n2337 77479\n59009 77633\n47090 76833\n38955 94366\n3821 21874\n47502 94125\n67063 97934\n60427 92450\n44545 75926\n2401 84390\n61493 85816\n20627 65546\n68109 76429\n1152 70558\n55519 56064\n16156 65984\n40436 73072\n52506 57671\n51521 66777\n77655 79551\n22901 25560\n27641 69523\n12987 78342\n1231 48490\n7326 56884\n67324 78298\n23554 65163\n2141 21164\n43081 65803\n60333 92480\n61945 85858\n12086 80246\n78507 88353\n13337 70705\n10478 96565\n14861 72499\n52574 81980\n42560 74281\n5788 63114\n36893 83071\n19740 76276\n1141 11182\n31755 69633\n28086 77085\n12080 72111\n4726 30925\n17421 44220\n17007 88165\n6599 80307\n62456 67622\n53197 58647\n35825 58994\n91326 97175\n16812 24446\n5836 77432\n59410 84826\n25900 84117\n42482 57554\n23925 88175\n14090 47219\n6794 69793\n58857 97739\n2191 38067\n57879 73738\n29424 32017\n38310 55361\n37235 75283\n33987 80229\n65663 80035\n42257 44487\n7834 36973\n5580 95742\n45986 53148\n19515 55205\n7680 45877\n13260 21908\n37614 80045\n736 86343\n14183 33463\n1481 92389\n75600 90377\n31699 34914\n98286 99600\n22869 24700\n9284 97472\n22481 37727\n30266 74101\n25676 93386\n73609 75745\n72057 77464\n4353 13767\n34364 74541\n81786 83015\n12481 87198\n37940 76477\n3635 98345\n24131 56515\n958 76616\n64126 81358\n37264 92633\n21803 23658\n15424 59451\n32400 53391\n2654 29134\n14099 74924\n75162 80706\n1738 33597\n46350 87040\n40849 97432\n37913 74753\n31793 76775\n21682 75428\n73400 78620\n37308 53343\n5663 32935\n10033 31704\n21996 47777\n28659 52960\n43203 49869\n38819 42624\n29517 64790\n18714 21352\n43048 70829\n54874 90721\n39824 61500\n52860 89293\n42198 77181\n40841 62693\n51961 80766\n23273 73969\n19610 77268\n51855 96955\n438 86997\n8934 82804\n42314 65520\n22591 36869\n37044 45377\n84096 91993\n4496 36326\n995 36557\n3179 91267\n29054 74596\n72980 74364\n9576 87467\n12503 77255\n58693 58889\n44105 89759\n67037 70549\n15638 47814\n71003 87445\n10951 29285\n72632 91289\n36917 85073\n47961 48843\n9494 92736\n24029 80562\n17646 76494\n25966 77396\n58259 61122\n28986 91068\n28860 58635\n53016 68408\n15115 89085\n9254 30927\n41114 76161\n70261 94650\n3136 69937\n39363 58502\n23900 56536\n30140 47707\n46602 84482\n1541 11419\n43211 61752\n31429 62001\n239 58604\n57525 93942\n47016 58654\n37795 88528\n8783 36292\n72953 73676\n49971 62343\n19022 93158\n20245 28269\n10463 52057\n30625 90593\n79012 80990\n27933 30423\n58134 76422\n5129 85847\n5897 70328\n16101 44776\n67854 78518\n55161 88246\n22678 31821\n57015 70285\n31616 63582\n18306 23256\n13508 33648\n72489 85147\n873 14476\n22747 55828\n30113 53572\n13244 50990\n28984 98751\n22733 79455\n69161 71780\n2346 68379\n22217 86879\n60471 69175\n84337 97777\n47062 91297\n1589 29769\n70191 99476\n30700 95606\n3210 7486\n26358 64470\n36868 61132\n44983 64756\n33604 49070\n81059 97600\n75061 86487\n50968 89388\n10392 11376\n50926 94831\n33988 76245\n39028 82244\n4852 77339\n4142 9386\n23507 24634\n26067 48071\n7294 93479\n16570 44446\n17480 67145\n31580 50789\n6376 28094\n52577 88876\n35223 37998\n71167 72126\n14042 83199\n44054 65938\n58526 80458\n1769 47233\n76342 95192\n45811 80311\n62255 89709\n77950 93820\n27744 74391\n28111 49444\n16361 79652\n41614 58141\n25148 86256\n48356 81251\n65078 65421\n35675 38740\n10818 22824\n30554 70258\n63305 82411\n48349 71288\n39477 71159\n5285 58389\n30395 73472\n7171 61327\n41 98869\n1875 72094\n38729 77475\n3930 5899\n34513 38641\n17307 66671\n37249 89462\n3400 26954\n7057 11679\n32638 77517\n37855 75175\n9426 77741\n2924 30291\n32847 85142\n10447 24202\n11618 25119\n53114 88416\n18755 61195\n93746 98897\n52059 82936\n41619 98804\n4200 70765\n60244 81616\n58334 76741\n9973 23405\n15177 74272\n23841 29494\n5219 20469\n27534 52619\n20411 89620\n30281 73531\n71960 86942\n35778 64244\n38640 96220\n79553 95827\n63729 79952\n2307 17534\n13218 71160\n17458 96965\n56141 59513\n67393 89363\n35370 61012\n50634 75915\n84402 85786\n6726 6867\n40215 94038\n29661 52975\n27936 39204\n42989 97324\n34860 90076\n41103 57970\n25961 62732\n66880 96778\n28191 54100\n2673 89026\n36600 71320\n15840 51814\n41015 63807\n2848 80112\n6769 94556\n74284 81589\n9859 14032\n14780 62165\n9986 30410\n42694 97529\n17594 42363\n12404 34863\n59854 80682\n62676 83871\n63464 70568\n7608 58148\n70489 76353\n1497 83714\n69746 71370\n76975 85909\n23253 54611\n35546 98492\n63 82919\n24455 75923\n13272 55206\n7927 43317\n22686 78377\n42140 49526\n22851 84030\n18495 60071\n6793 22274\n40654 73878\n47389 71609\n7236 99487\n16992 18479\n55686 56965\n57921 81742\n25358 83351\n19925 64713\n72626 99269\n10092 65524\n34973 39177\n16445 90169\n37190 80597\n34831 96633\n15683 65484\n19690 34610\n15373 75159\n63732 86765\n43640 85935\n17550 51226\n48510 59330\n86049 87222\n41803 49940\n54132 75751\n16077 48565\n74053 95946\n7421 45057\n29704 79193\n10106 17669\n3041 84923\n42013 54701\n48789 58663\n9575 98672\n3639 68688\n19600 22802\n55816 71907\n9419 91389\n24450 88433\n41387 87555\n29592 56621\n62287 89539\n16883 87332\n56929 86998\n18309 38273\n77468 77752\n13289 45508\n34772 87948\n59240 94628\n24452 66896\n29820 57233\n1073 69414\n18734 49700\n61401 88835\n43033 66060\n12218 77287\n65965 90996\n27005 64602\n45178 91732\n20329 32195\n62227 74443\n58565 97502\n962 70676\n11880 82486\n26740 91972\n11626 30283\n21931 50673\n48408 68566\n31189 39598\n9378 32220\n39042 82397\n55057 85758\n69582 85769\n28374 59972\n7466 20734\n57072 79046\n82239 95731\n85575 96202\n4128 60342\n21753 36483\n3582 52808\n25866 54392\n62274 78113\n72466 96197\n52462 68758\n15368 83173\n32465 45098\n66780 94506\n34164 99755\n30296 78610\n14933 37436\n1180 30093\n74505 84069\n27038 56156\n64811 90193\n2190 75792\n37121 66459\n21812 49699\n17065 39804\n13526 73574\n23583 24097\n49579 81052\n36102 96759\n12387 27421\n17865 19886\n9283 27833\n23401 48898\n9790 56140\n54595 82756\n35820 67958\n16328 73494\n17731 77075\n60840 63757\n273 72484\n2004 68930\n33497 71728\n72752 73659\n19062 27912\n32216 70624\n49374 69954\n30507 65091\n52993 76663\n41770 48475\n35461 72911\n52428 89008\n12135 91042\n540 29596\n58376 83450\n19464 46502\n26836 97233\n36840 44163\n35932 90118\n25188 88256\n66838 87548\n13528 42186\n49651 81418\n41298 82124\n62236 65334\n6227 22403\n13929 84149\n16485 34047\n7632 74473\n23643 50749\n65340 94264\n42539 94134\n4742 30177\n39780 65728\n42237 59324\n41724 62363\n48472 63765\n15744 53855\n50156 90633\n28845 81168\n14237 77141\n69632 82574\n38280 48867\n14715 61325\n23291 58197\n2030 80349\n40986 68407\n37593 37665\n12464 25000\n45995 71893\n4342 25122\n4099 98056\n52320 92306\n1567 10584\n11710 92241\n36139 59001\n8514 81372\n46694 80615\n11123 47966\n52185 93193\n12078 73210\n68634 85652\n48923 93675\n4680 95620\n37403 78042\n47072 98195\n20152 32926\n33547 76548\n10793 32987\n18814 91357\n2047 50537\n7701 21329\n799 70114\n7723 62550\n34004 74563\n65778 94960\n15686 57995\n7746 99568\n41233 43060\n69787 91148\n59 11183\n28251 51624\n56461 67896\n11382 65358\n23445 61584\n44742 62073\n94605 96221\n35298 73281\n49425 73569\n34107 43951\n41631 80400\n90724 95500\n10652 95923\n18859 61773\n70264 88951\n1498 76491\n23969 74020\n61496 65507\n16005 82233\n62960 72354\n386 8575\n42884 90378\n35309 45706\n56212 83265\n44185 56734\n12352 33311\n39974 46579\n50256 97097\n18559 32124\n12323 24928\n13623 61275\n49899 62428\n4071 43134\n43579 70305\n21133 45259\n15999 63735\n72661 77327\n21606 53819\n30461 58730\n59309 82856\n38604 95271\n42503 87073\n22305 33278\n4630 53151\n54333 59082\n28847 44280\n79857 86953\n49698 80293\n10857 68634\n36452 79801\n21050 74569\n13201 15786\n32448 51073\n39016 59470\n4805 49958\n58248 93424\n16483 90373\n9822 30656\n48705 82530\n35243 78860\n23103 70285\n71778 84771\n31524 75575\n47632 49541\n82111 97751\n12893 41087\n15569 67678\n95988 97981\n5179 52941\n11875 18484\n22330 36452\n4454 65228\n55258 67105\n2778 65854\n56836 97723\n13200 66692\n48498 66499\n14498 66154\n36123 46370\n5656 83932\n11928 33401\n2987 30175\n19248 99934\n15645 97684\n48393 66064\n67902 89837\n47861 55834\n19397 38278\n69766 86840\n37104 56073\n38508 85191\n45178 46939\n9364 42968\n33978 62734\n17441 50955\n24824 57507\n7022 70721\n69586 91609\n53940 91504\n4616 35048\n30238 82717\n51200 72775\n35223 95980\n30829 87152\n32674 37946\n9012 62318\n87893 94361\n70073 78170\n2924 81569\n23527 43741\n50400 79093\n4883 47197\n19894 90038\n11030 83660\n28870 77777\n35399 91138\n5033 78952\n40905 88462\n64281 96263\n26989 52318\n77923 80974\n32845 78292\n85803 95346\n26694 78495\n31422 59883\n11115 55754\n77112 84489\n221 1129\n20829 74759\n36064 37513\n24122 77372\n9623 73789\n3324 74563\n46344 56024\n77835 87613\n26677 54944\n53194 84449\n56355 57532\n49244 96396\n14681 54977\n35274 76743\n60332 83560\n11808 18596\n40671 64678\n6728 26669\n46893 76209\n28301 35980\n51120 88444\n17078 51727\n5039 92478\n31564 62711\n35620 86056\n23381 95962\n57771 72121\n24606 60347\n23337 43922\n18373 35406\n14648 80072\n43760 81703\n19951 79813\n44392 86679\n82163 87465\n59771 81337\n15580 80129\n19633 73666\n36148 77250\n17501 25120\n45896 86243\n60461 71759\n35700 91723\n78870 84938\n36703 42669\n52191 79441\n74332 89275\n32974 77198\n1954 5607\n14089 49048\n51207 66418\n7366 97965\n10818 22390\n16846 71298\n31401 65042\n23345 87657\n31999 83608\n13266 77013\n20648 32453\n28905 96499\n62982 67328\n38635 95082\n887 2741\n2837 98394\n61438 82161\n53955 73354\n1280 70189\n73192 84691\n21167 91582\n55666 87916\n5007 70286\n40901 79105\n21424 48396\n1569 41495\n12312 83179\n158 35646\n9601 26320\n15548 21351\n7956 15110\n17745 23157\n16003 49849\n1175 85036\n63875 93412\n6310 92918\n57352 97131\n40170 80680\n45873 89154\n21156 59376\n65235 84394\n7136 40428\n28080 42896\n15940 84476\n56680 71644\n14459 53439\n91258 93845\n177 21067\n71506 93200\n24227 47204\n67307 99375\n18685 68330\n9645 99650\n34603 59933\n27887 58838\n49566 56186\n25172 83298\n51885 62452\n27786 29938\n4787 69697\n45188 60918\n45553 54803\n2663 72651\n29603 74389\n6291 6546\n237 36880\n83843 91979\n32432 93870\n37209 57056\n71874 98515\n27976 83934\n21188 31030\n32428 36175\n53937 76305\n6747 48332\n40458 55903\n58925 74573\n4149 73253\n30727 67797\n2749 72402\n24942 28228\n477 62268\n18045 91345\n49895 75818\n7860 97602\n53186 71711\n30929 95067\n92553 96202\n14606 66433\n18000 51882\n1511 19429\n40514 78853\n84323 90633\n42758 56389\n60936 86247\n81760 87799\n37630 89671\n20203 59624\n71772 84410\n44271 88645\n78222 78566\n2436 77918\n54642 68308\n25383 76981\n39388 84128\n12423 45748\n20644 28539\n23494 44491\n8130 49095\n2803 8058\n56131 71349\n39683 57960\n27355 79856\n13622 17762\n61519 94171\n10646 19245\n12308 77402\n26707 48266\n46617 49799\n10339 82553\n18688 36350\n71391 89169\n25987 61593\n12434 33270\n84453 97133\n11763 99239\n33579 70814\n1350 92386\n82670 99766\n29968 36245\n50931 69781\n5350 28841\n6242 8366\n30625 58339\n38138 98149\n1558 15848\n33616 59732\n345 14166\n69637 95723\n43021 76529\n18502 28709\n27265 69421\n41009 70966\n1055 61329\n2266 2663\n2001 26976\n17633 42194\n92099 97576\n3783 14055\n42671 50949\n77220 97559\n70061 80564\n6799 31328\n63529 78177\n24785 53199\n19195 73377\n60567 90052\n7131 85089\n38375 69924\n38490 39100\n56931 95673\n26054 56020\n55466 97772\n89595 97958\n13479 15156\n58983 70638\n62989 66767\n23959 47131\n93878 98441\n87929 93855\n10288 78051\n46959 85357\n39782 59521\n53439 56663\n47704 86305\n15591 73738\n69010 98311\n17142 57778\n45396 57796\n34954 58070\n44392 93690\n2917 8544\n39249 53451\n40909 87889\n44294 52531\n70704 76449\n53183 92962\n2579 42974\n11886 54650\n25465 88580\n33047 43902\n64374 73919\n28069 55631\n58187 74420\n55916 82758\n10559 75875\n7995 47213\n9618 15770\n8071 33929\n24501 82344\n2880 98756\n21200 80305\n26102 73845\n2481 62468\n17853 77538\n84538 93285\n8803 15671\n73040 83701\n66731 74841\n65575 99850\n7549 86963\n38501 90643\n2052 43879\n40432 98881\n46642 78015\n4288 22464\n97755 97995\n37021 48544\n19414 76379\n12836 36009\n4473 44291\n17084 25475\n41523 50302\n11613 82429\n14488 40532\n90889 94046\n80036 99224\n3726 9811\n27846 58328\n38450 73338\n42069 84930\n45546 59472\n12358 57910\n20531 60721\n10871 69703\n13432 43545\n32903 80998\n2525 35905\n67759 97663\n26691 82308\n25488 43181\n35290 55275\n27621 82146\n17117 32443\n60851 66730\n89439 95590\n42935 98611\n4562 49937\n10983 75650\n68542 91983\n4348 16932\n17375 72686\n74066 78731\n518 26143\n44947 95590\n4091 76779\n42907 58668\n40845 61238\n48537 92553\n38798 76917\n13763 26825\n34200 93583\n68167 88994\n34327 50751\n20393 86798\n27625 60741\n40590 60535\n47026 49967\n16684 50152\n10290 59304\n3809 80574\n40088 56185\n87262 98004\n85272 90452\n54955 98088\n6222 54070\n8265 79696\n32150 67313\n168 2231\n11499 89551\n79397 79827\n19959 90689\n24157 28048\n61182 77757\n87635 99522\n7756 90609\n10878 45366\n62155 63097\n17899 61080\n38374 95815\n6481 70533\n11373 54289\n21557 77595\n17965 42567\n34966 79404\n30010 78174\n7270 90222\n36388 40476\n25131 39270\n56013 93464\n67528 89682\n4746 76057\n22381 31013\n27535 70049\n32945 37834\n29977 31531\n7995 30530\n80573 84114\n47790 74064\n73888 82061\n45419 62312\n24378 79390\n83272 91797\n37040 96600\n51190 74146\n68600 98785\n2660 10319\n62376 88620\n62090 81286\n25165 32547\n43764 84738\n55434 88069\n10815 78680\n30763 81073\n13901 22481\n51775 70768\n17049 93003\n69612 85466\n69915 71574\n26306 39017\n52070 64090\n14931 23402\n70122 81481\n26763 89257\n9220 46237\n4114 51417\n6990 37939\n19353 49849\n4768 42275\n22710 73845\n15553 88425\n50956 77455\n1182 56228\n60085 72274\n9888 34710\n53967 79323\n15419 79963\n6743 46915\n13625 30611\n13842 65041\n37615 61992\n64893 75630\n59672 79415\n10036 97781\n63544 84485\n43018 45514\n57312 89348\n17361 34035\n11232 51453\n68466 87622\n12410 33000\n48219 59352\n14843 69747\n77905 81594\n37617 40122\n68901 75400\n23551 47580\n45629 72832\n38220 38262\n6318 36718\n6803 69580\n40988 86934\n77699 84657\n65886 68239\n49802 97193\n55798 59208\n7923 60988\n57258 86812\n48182 88600\n23777 55700\n50872 52736\n43012 85570\n33462 79518\n35636 61289\n5899 7579\n17604 86440\n23576 78860\n922 57703\n16195 30302\n16431 76205\n18437 80718\n55520 76024\n42261 77081\n57456 64612\n10574 73506\n50941 58783\n117 8523\n29804 59672\n74187 95334\n33016 34876\n31729 85343\n4399 69948\n38830 46935\n47208 74023\n49611 81879\n72923 84281\n1316 21070\n21721 41505\n39734 90715\n17195 50761\n38831 63320\n19286 65357\n56878 96592\n39848 65102\n10190 31504\n43567 88973\n69427 98416\n16786 80263\n21574 32020\n70721 92335\n37890 96042\n47263 51485\n64394 83479\n45786 95279\n47254 62603\n1661 6980\n76708 77957\n56025 57994\n9652 88527\n58722 77228\n31317 45468\n11817 63143\n7211 87488\n10348 24983\n32274 70107\n6444 33511\n3377 74417\n44469 88955\n67852 86420\n35434 62668\n22281 95175\n19379 85644\n38012 66027\n32745 85208\n74981 86999\n42312 60051\n19457 71510\n41236 91847\n66323 97971\n503 42587\n9614 79365\n28606 84563\n38110 72851\n16272 79644\n15793 18211\n25944 48152\n57805 72460\n52667 81527\n5002 50572\n46093 60464\n86377 88857\n43707 80895\n15490 72506\n59935 79875\n41093 63671\n14358 73214\n49425 98471\n16801 62890\n76442 90637\n54404 77765\n63041 89318\n32188 64387\n81778 83597\n46362 58015\n39751 73782\n45402 54428\n84023 87655\n33421 69688\n42789 48308\n7607 84941\n12587 72148\n77413 85388\n25330 78245\n5399 29428\n8030 68542\n1393 28699\n5008 37833\n37833 48935\n12223 61784\n71469 78621\n58194 84981\n10175 75022\n85087 98050\n251 76599\n33024 50382\n65457 77228\n47324 47977\n14132 64365\n7418 56906\n7285 11605\n33807 42255\n34758 87775\n7897 90052\n49381 56497\n3910 57223\n51706 62177\n10188 94134\n15550 97872\n50179 82000\n45377 57177\n8642 78229\n4004 45448\n35293 40036\n8931 15183\n20765 77068\n52094 92977\n91215 97350\n30600 68404\n77169 99725\n504 85123\n799 83429\n33643 90883\n35443 57039\n26912 75181\n76522 85036\n20015 33305\n31752 95783\n59896 74474\n27155 96158\n64753 92575\n63427 71453\n50090 67434\n6183 45801\n60347 74420\n46736 88741\n77868 83344\n20523 91765\n14707 35710\n35760 91966\n45105 73816\n3656 49277\n24292 90510\n5527 62904\n28302 73390\n11252 82829\n9408 47652\n36150 80955\n25527 94095\n73420 81160\n56939 89069\n13829 65205\n39066 82728\n6555 30310\n6114 34428\n56184 66737\n23581 61276\n4143 65092\n60721 89353\n56029 92107\n82576 98527\n42014 43215\n8936 73644\n14424 25705\n29333 71486\n10134 94707\n4947 36890\n48952 57870\n65302 97897\n24556 42412\n88486 95500\n74206 80724\n75840 91151\n25071 38617\n12538 22438\n24312 40320\n76171 86765\n21296 55498\n67366 70457\n35678 95612\n4220 84010\n79974 92269\n1528 6017\n92944 99247\n65205 78031\n22792 97676\n35288 59658\n1437 95851\n23672 45433\n4491 37142\n17074 28403\n34761 41456\n9460 92547\n26322 60088\n13035 30325\n81182 84621\n82740 85557\n1820 93729\n39513 80313\n6800 97479\n19522 98091\n43264 49515\n5800 9611\n66409 74802\n25331 85226\n36733 78458\n47577 60647\n42908 94010\n24112 85921\n12035 75290\n29006 94648\n42993 69490\n60827 84643\n9326 44139\n6107 55195\n14993 92711\n44985 86585\n70791 72923\n4938 44817\n67355 80746\n61380 74427\n3086 98950\n34078 67299\n23636 73761\n58078 77788\n6183 70038\n29400 40424\n27772 69143\n5617 58387\n16721 71722\n8653 49900\n17884 24306\n21765 76553\n18570 53591\n64322 75254\n76069 77906\n40439 59473\n14821 99760\n76594 87058\n44503 68684\n52846 78399\n23712 81579\n79482 83447\n4923 72169\n61111 96452\n8159 72353\n15128 43146\n32044 78615\n42958 45168\n47581 97546\n60795 68838\n93023 94659\n50654 96584\n48470 76548\n30567 83221\n83429 91507\n50594 55482\n19497 84449\n33553 95803\n7446 78045\n16900 52435\n7732 85379\n24976 79384\n51535 83865\n1737 42640\n4824 39746\n25069 67046\n68559 69608\n60947 81464\n14295 15670\n30696 71347\n49395 91177\n34511 73252\n61338 88939\n40859 50813\n44175 53058\n38828 68853\n58807 81994\n25527 81809\n4774 86998\n43963 90650\n53030 53514\n23592 94421\n61266 69790\n49844 71094\n59205 78042\n52344 93235\n26909 63253\n37274 46614\n38035 70954\n44832 93299\n60097 67281\n5937 49805\n25906 41111\n8629 95530\n52499 62876\n1027 74896\n9419 11446\n61605 86479\n4997 63589\n74292 97493\n27458 32856\n8400 71807\n34843 48191\n11261 77155\n32167 47000\n53791 74317\n18657 66441\n18784 29021\n18853 83616\n4134 49984\n37261 42695\n49038 99248\n55726 96327\n44770 58710\n46047 68135\n748 41616\n1287 98755\n10867 66308\n10169 91605\n23746 72439\n54462 81119\n42556 57343\n56109 64590\n9134 39765\n68001 76818\n11706 46741\n40317 69719\n1059 50985\n33227 68238\n45065 55695\n8662 79658\n10496 17232\n71429 91199\n38057 96343\n36947 87273\n4927 89185\n35115 42653\n22877 46416\n21845 79399\n31702 93154\n88706 93163\n3450 11695\n81570 84791\n10588 65924\n56815 71032\n37203 90229\n67735 74928\n27709 51894\n17165 48873\n56048 68305\n67288 83910\n37833 41701\n4500 16145\n4301 65114\n73609 86925\n61739 81087\n22970 88920\n11481 84279\n30046 43033\n79082 87024\n44223 74816\n41126 81316\n23585 98572\n8014 27196\n35391 49463\n51904 76257\n4364 21513\n3941 85842\n10617 98840\n11464 40406\n51580 62111\n16429 69407\n37567 92074\n7530 90317\n3907 9151\n29720 79489\n4613 42030\n11273 89032\n28996 75031\n3456 32265\n3698 9784\n54695 57158\n12173 37426\n51447 83453\n45547 66266\n22888 76456\n31564 56158\n10967 97434\n72934 95021\n25650 47401\n41834 72796\n7496 12142\n26169 98936\n40720 63764\n12989 56281\n34513 77286\n20952 52084\n25655 32733\n36134 92504\n8323 32030\n47364 48058\n72083 74481\n48007 48350\n80703 98235\n28065 89412\n65962 91942\n7729 81525\n63497 95375\n3061 44354\n16044 30586\n66547 85922\n26152 77142\n5653 80715\n15339 74141\n14445 87649\n67957 89174\n12272 50213\n21507 99893\n34940 82109\n35628 77752\n42262 86199\n26279 72842\n14464 94782\n145 25387\n16432 44212\n73703 79230\n7533 63181\n69405 99131\n53572 97936\n21893 24146\n67474 84354\n50813 77214\n31901 75039\n1612 73167\n64900 78567\n2385 65800\n61631 79891\n63865 85838\n63900 85006\n35593 85801\n51586 98240\n25000 89870\n1768 63686\n43925 73697\n7340 39593\n9679 60589\n73880 77902\n38614 97106\n41516 48142\n1037 84139\n10638 20359\n25455 69963\n37311 52886\n42312 67215\n1720 31610\n29712 56752\n560 66414\n13854 62023\n1537 79793\n6151 66317\n9844 53752\n62106 67555\n38570 55438\n51612 64507\n3276 55836\n80018 85687\n37449 42228\n30195 61989\n32814 98515\n51026 54976\n70799 74462\n70820 74259\n24595 93372\n23525 29641\n27434 96144\n82059 97856\n22150 42382\n18182 55039\n8689 12021\n13835 67739\n50772 58551\n1992 27143\n65338 93040\n14340 43274\n26035 42484\n28662 93367\n25727 97026\n13320 31027\n22739 82034\n16172 65428\n41105 81234\n27428 58060\n41174 77394\n1360 7730\n22988 86481\n12947 72880\n974 66473\n4819 46737\n5255 31341\n14987 55180\n48226 56291\n50835 74675\n67175 76255\n42568 55812\n12287 17899\n65099 82819\n74373 92312\n14487 38199\n51055 89322\n6240 44543\n1649 41043\n23834 46299\n34707 37261\n12429 96394\n8791 23033\n55647 85596\n80207 85315\n8537 73555\n6710 43325\n38246 88736\n3733 25659\n7316 33892\n26319 67195\n21846 56976\n26664 29328\n65325 80506\n10610 32560\n7869 66852\n10930 19477\n6960 96319\n6254 85304\n4808 42597\n33333 92200\n54121 61354\n19604 55156\n45286 88086\n20395 66823\n8373 53398\n88455 99914\n28290 90931\n3762 22470\n10825 36190\n43681 82575\n48611 65467\n26004 81223\n999 67444\n43427 66256\n40826 84125\n27841 49260\n95773 99959\n40809 67474\n2001 50959\n16755 49611\n34709 85098\n1834 79781\n8067 40454\n62111 81181\n47037 80811\n38489 50012\n36837 60320\n5357 41510\n12494 23381\n44389 98046\n1562 87123\n61912 90411\n45250 82195\n17164 75916\n76809 86922\n69417 85629\n21059 59862\n35372 72397\n13979 79512\n8812 46490\n86815 90661\n127 55546\n84145 93176\n58658 69490\n62309 90144\n13617 22985\n7010 15735\n3038 58013\n60906 87666\n17664 67775\n35481 47331\n64079 74720\n6980 14906\n3009 94861\n50489 74977\n76484 80171\n399 11896\n41486 77465\n26542 90123\n46923 61337\n31048 77734\n34472 51195\n19395 66144\n13386 74411\n48320 77873\n50453 58873\n49942 85630\n69689 99002\n13172 37192\n52920 86101\n28913 33923\n10194 86090\n3122 55259\n27147 84274\n41116 60631\n1404 28508\n18222 81958\n61591 97550\n28719 60722\n74381 86126\n10817 64815\n15517 75152\n23409 75368\n351 58853\n63300 77860\n14738 25574\n35432 96818\n24251 84080\n82375 95683\n34822 74231\n32669 54402\n37066 97121\n21078 22631\n29496 44763\n88347 99037\n65652 95935\n13659 56329\n63967 80713\n53082 54136\n64405 88282\n17612 61975\n33860 70238\n4369 66958\n8420 47142\n30279 83625\n44225 58912\n20185 71928\n92562 95203\n73020 76137\n489 89679\n12166 90326\n49554 51210\n25054 66875\n38083 92278\n6146 81159\n15693 56257\n18332 24547\n54429 68501\n23862 73450\n51424 85486\n58122 69441\n10545 60470\n19002 95940\n9790 94977\n28709 45823\n26060 67912\n25916 94963\n10315 20814\n17405 29926\n10990 35175\n4943 17040\n24792 63579\n68924 96563\n47960 55545\n79642 85968\n4619 27667\n32901 56519\n14535 85287\n59318 87526\n57686 90661\n6148 49831\n12407 20762\n19782 91310\n5300 14858\n62166 79641\n51413 59063\n83307 91268\n20785 97433\n87199 90125\n7451 18165\n1837 17317\n17241 71989\n1505 47197\n41948 44336\n23467 53755\n31029 39813\n32850 74755\n51095 81568\n43594 65610\n73173 85053\n62630 75451\n42309 62761\n20357 73471\n6181 31725\n33373 39653\n26598 68743\n45958 64595\n79054 98178\n5441 17292\n72779 93485\n22597 36225\n61370 72915\n83056 97391\n33618 93406\n18979 59641\n3167 67078\n42289 89984\n52883 85108\n15581 57097\n2928 56642\n30550 93515\n15558 27998\n68492 72933\n1598 70997\n22532 77998\n14909 68066\n21779 68650\n47117 94816\n34124 89846\n21250 98878\n61751 87887\n79196 96443\n32271 91320\n18167 30202\n36005 44077\n10015 96846\n429 23222\n46026 91102\n31819 47379\n19090 53387\n51472 67433\n86227 89821\n41942 70794\n31463 58600\n27164 82515\n61366 88832\n38361 66027\n57678 70484\n26047 41096\n22343 71650\n5202 51135\n44552 61447\n83707 84501\n37362 62697\n15569 74189\n96534 99185\n16261 48474\n44664 88768\n29703 45862\n62245 69450\n19160 41981\n15660 57695\n53010 54944\n29389 61069\n38796 86088\n45382 53077\n19740 25762\n67319 86714\n75916 86958\n72630 95430\n6505 96959\n24065 60614\n23253 33744\n54466 61709\n85413 88548\n19113 30322\n4315 85939\n85130 97852\n33102 87929\n75172 82647\n3478 32447\n11046 84394\n87667 90491\n21491 32647\n41417 45760\n14157 94963\n3187 60272\n29923 32182\n42448 97721\n15086 77386\n67990 76863\n47762 68647\n64623 80175\n21664 77170\n55542 66845\n94010 96083\n53839 59593\n68879 71295\n3473 55885\n56459 85355\n53524 62571\n78080 96813\n14152 78857\n55457 65817\n6430 49663\n26440 92439\n12015 81184\n7722 78311\n35956 81348\n29317 83851\n19479 42617\n35117 68870\n28502 83149\n63516 89313\n52367 99443\n20909 71565\n50443 56726\n55377 78223\n43664 46345\n34451 43922\n50646 96188\n24478 78322\n34480 41243\n32758 58598\n13573 57803\n71697 84508\n17712 67155\n456 37189\n13611 42565\n6992 78339\n28649 61784\n32166 76099\n11959 23389\n14599 69979\n3519 61422\n18634 47725\n60350 69276\n41974 44933\n26446 27292\n12330 66861\n48257 53681\n26349 62057\n377 33255\n55913 81573\n66069 78525\n48937 58516\n76554 77926\n41854 73381\n37175 47168\n30751 93093\n14482 18534\n15214 97996\n59984 63920\n94570 94584\n56067 99197\n2302 98569\n3904 69736\n33472 55820\n9115 39905\n4252 6003\n37431 65009\n76043 82364\n41986 81826\n36658 83340\n40054 78051\n23507 27238\n82431 85308\n47214 69321\n62261 88840\n28152 88446\n7917 10715\n41022 92537\n57822 75345\n4969 72240\n9590 60545\n36461 87143\n37715 64700\n41872 78303\n16943 43556\n78040 98272\n78459 95433\n60113 83014\n11419 68172\n18083 98183\n44668 82254\n19958 60823\n27886 91094\n32501 82397\n78411 98483\n35306 69056\n31236 44214\n2407 36192\n38243 84358\n17447 75486\n33622 97065\n41483 98658\n32139 86732\n4965 16305\n9549 18879\n54956 70955\n39617 41126\n36976 53230\n4785 34368\n23237 60113\n3730 15506\n6357 21930\n19470 38829\n13533 89924\n61770 99046\n9968 18756\n13791 55143\n6160 78837\n5684 69569\n42796 56491\n75170 87893\n51100 77457\n14556 66141\n3285 92252\n25837 39740\n15003 21703\n19988 63318\n8033 46968\n21443 63857\n60923 61683\n59504 86675\n22479 88879\n16674 46143\n13320 78738\n10226 23177\n46658 46906\n39804 94021\n9068 52534\n7404 22534\n198 6412\n9701 43208\n25497 62215\n55540 86280\n5526 77075\n19423 30362\n15629 68623\n24277 68257\n61910 67529\n16923 90143\n14217 31587\n38922 88258\n43361 81152\n3059 45755\n18530 39363\n35378 41329\n1234 58131\n49258 65363\n7909 72162\n11230 75963\n34281 91171\n12918 42063\n14132 29240\n63691 69976\n17498 65036\n26167 66986\n54740 88109\n51978 84119\n16376 89369\n41788 82132\n17185 53126\n2724 82462\n717 89907\n19221 54751\n69837 97691\n23703 48043\n33375 99479\n33059 59055\n70980 81440\n55951 93817\n31519 63257\n1111 51342\n1465 18383\n20371 55525\n1813 99649\n3242 51834\n39989 91620\n77293 86578\n54165 63935\n61336 71797\n8746 20965\n3555 37001\n18570 22730\n28556 54756\n79547 85529\n50285 61686\n27068 41933\n34426 84928\n24215 83134\n36212 62705\n19409 21268\n83712 96100\n57304 80919\n2273 29114\n9714 75109\n9727 13413\n52397 69940\n84653 87233\n56015 90592\n16970 80754\n30636 55547\n60777 90320\n22657 85117\n33750 71094\n48934 55325\n10582 67374\n20377 47163\n49218 90965\n4572 64033\n4249 76378\n20091 39591\n84289 93902\n63805 87788\n73111 78289\n46318 87860\n11 83813\n27963 92955\n23582 26500\n17168 59560\n68341 73081\n46825 68235\n5724 57572\n5846 90817\n12891 20648\n36506 88536\n45872 69171\n76564 97806\n57694 75184\n9326 48545\n47318 51986\n25842 32483\n7579 93136\n35811 68645\n64670 77478\n34784 87796\n2466 47682\n21788 86708\n5040 99862\n20982 27798\n33065 52996\n16931 64370\n55498 60483\n83131 98700\n76365 80951\n40611 42181\n2840 14611\n40447 48980\n33013 58941\n44940 90850\n46780 72157\n6276 38487\n28187 40338\n6615 15788\n29073 55307\n62237 65939\n54063 74825\n56475 96708\n31082 86283\n54000 85312\n8724 67761\n26869 63741\n72108 89540\n34183 79070\n5254 31989\n17140 81762\n43006 83862\n16323 32804\n24490 89915\n37098 74318\n43805 74926\n3747 66904\n5699 59416\n66959 99407\n62956 97654\n43823 73480\n45539 55444\n47901 85885\n980 83298\n5094 70791\n14198 83235\n57605 83355\n48458 58329\n69227 81507\n19285 49451\n18868 85824\n35289 78979\n1619 65714\n40413 51109\n28797 79381\n18789 85920\n13524 48970\n3885 21196\n8811 48390\n7128 24575\n38628 65792\n44741 73278\n47414 48365\n2960 56877\n17036 76409\n51582 54350\n34567 71099\n47194 80715\n42494 62402\n14942 49956\n42840 67428\n63126 93783\n48182 96500\n4461 35960\n37443 75609\n26610 67970\n56373 72109\n71105 97091\n12237 32930\n12759 21404\n9232 12991\n16592 62374\n19783 68601\n24 53034\n46154 62781\n975 66612\n934 4338\n4493 82463\n34000 95383\n100 58948\n24512 89661\n81346 97026\n23144 30894\n26017 63764\n28594 94393\n16077 30888\n61404 67165\n9821 69559\n15639 24564\n35831 40620\n34354 38391\n6643 7496\n29265 79562\n45782 90839\n33500 49660\n3377 19278\n20075 73756\n54258 74882\n12687 58867\n43976 68636\n5243 26219\n11382 39018\n32823 35730\n59428 69203\n19182 66708\n52989 68647\n62299 67479\n31501 96875\n15151 91100\n11712 98149\n15627 41577\n31583 87128\n8116 83170\n84285 94905\n34541 87368\n85711 91929\n59752 90373\n3856 7598\n44531 46386\n2921 32744\n29407 88139\n29119 50202\n23730 65636\n1003 82484\n61897 89725\n23413 91640\n27181 83436\n58781 90415\n63920 93963\n36706 43483\n33114 91439\n74 2950\n10088 89368\n43357 50757\n36291 69233\n60676 95653\n63660 88275\n13695 30745\n57096 68553\n16445 44878\n45322 68444\n18891 41354\n2637 4449\n28400 99898\n13108 42368\n26336 68902\n38940 97293\n56584 76242\n10099 91136\n20340 25338\n22087 23042\n75834 83918\n4975 72519\n46555 48718\n3859 41394\n57279 58321\n13605 34232\n24328 24830\n29362 87497\n11532 72106\n52223 57729\n35441 72416\n21685 29053\n5820 73798\n60589 61861\n21815 84539\n32544 79974\n53446 75329\n12095 29678\n58884 86020\n7890 15426\n66202 82799\n29716 42276\n11791 51038\n17062 34733\n41326 99917\n4163 46195\n74658 94065\n35349 97213\n50039 92302\n3630 45221\n54116 55792\n25081 47867\n69775 86484\n4173 57688\n32186 51364\n66683 97736\n34306 81637\n36638 77802\n34340 40845\n19287 91414\n52741 90426\n72229 90233\n15827 76169\n8111 76560\n4142 37598\n70997 93906\n19054 82814\n42674 62027\n58995 69834\n9513 52495\n17643 55139\n30850 58502\n2711 96160\n14902 38292\n84083 94045\n22706 70000\n3315 25132\n208 43771\n61761 91666\n19154 35915\n55956 61971\n6869 53315\n14147 25638\n65645 88198\n27054 27670\n16192 96497\n6567 10041\n37324 99390\n44176 94179\n3178 39712\n20791 39343\n23587 87598\n35 83928\n45233 97475\n11509 78708\n1521 92698\n43012 86001\n5520 60572\n32468 57326\n5276 25051\n84754 87238\n34785 37137\n53523 58688\n15131 90602\n8561 23951\n32432 46572\n57512 75878\n58381 87445\n22897 53804\n45246 86044\n14365 81927\n52721 66238\n55381 86857\n40371 58658\n17221 83157\n22993 44362\n93292 94941\n25204 92845\n39914 90390\n12035 56901\n29468 93543\n92024 97770\n668 65392\n40707 53754\n11174 62807\n12256 21528\n14269 52298\n54932 93363\n25859 54789\n28479 41714\n65912 86809\n19913 56560\n11738 47307\n51114 90474\n8718 33283\n21304 62343\n41444 44281\n9268 25196\n33273 68047\n7264 38435\n19621 85933\n5327 83164\n65111 69563\n37705 89577\n27321 49713\n34319 99845\n52578 93372\n18904 27979\n60802 74389\n58613 76188\n28472 65231\n23957 72585\n50969 81826\n1306 27485\n47000 61898\n53017 61506\n31813 34071\n25032 34140\n44147 70005\n55192 75596\n27405 66797\n36569 87330\n966 53046\n37247 79656\n79733 80879\n67246 69922\n36572 82753\n34208 41175\n3389 33498\n28768 99280\n3366 37453\n8087 81808\n70823 80299\n61083 97027\n17537 17985\n8480 28725\n42304 48929\n25471 29745\n98675 98903\n9978 91728\n54177 98888\n15647 71228\n7210 77846\n36286 37532\n6813 28677\n40659 45622\n82988 89102\n29361 98027\n43324 56593\n49982 80929\n17410 38498\n11214 72087\n39516 50645\n5342 54203\n41565 54560\n86274 91820\n4521 83179\n69197 89417\n24765 77651\n27453 43113\n48443 55156\n41418 65120\n58805 85441\n69457 94716\n59399 97724\n75336 88585\n34731 50286\n50533 75067\n37098 86569\n89233 96980\n43762 67028\n24626 71635\n12276 41603\n13989 94987\n36494 58526\n12669 37832\n15217 77645\n3872 98490\n26318 90584\n58554 94230\n39867 65922\n48683 56026\n14371 29290\n10997 52217\n12951 88056\n35037 60147\n2909 30665\n36284 53999\n2345 68159\n4575 23521\n60174 93921\n65401 87694\n48273 68578\n31360 50547\n10854 59479\n11552 85047\n4255 71848\n34797 79150\n7915 53351\n32352 54695\n56666 57635\n48850 96173\n12230 49207\n35697 57613\n13987 66608\n37335 66985\n24968 77910\n11102 37717\n27273 35730\n27002 86059\n4520 23306\n2296 27758\n47380 60994\n13377 64817\n8149 42697\n26795 59424\n8334 34199\n32207 92130\n84 19087\n56440 59415\n6472 63690\n29311 36555\n6487 74350\n25788 95376\n30435 58118\n30113 82193\n90944 99641\n69888 71773\n91508 98087\n4637 83580\n16937 28274\n51113 87317\n189 76497\n28306 41449\n15867 83961\n48638 49603\n6567 8207\n65920 87582\n82054 91588\n42322 91021\n2087 10097\n56694 65222\n6353 79370\n20227 26325\n13589 99359\n6497 38284\n28251 37602\n29027 48331\n37802 40102\n75480 90911\n14459 43470\n27502 52284\n46972 80396\n14725 87433\n30650 59342\n54331 60150\n26166 90942\n13311 53125\n6872 50223\n54979 78100\n73748 86547\n95707 98560\n23114 85502\n68444 71204\n12297 83535\n19669 88253\n17365 84895\n30058 89228\n9896 74647\n65477 72720\n12712 28414\n24022 38432\n54175 95924\n6229 45728\n53727 78395\n29092 83047\n22434 57366\n56524 68226\n46569 57754\n6377 36847\n20945 67335\n14973 88037\n11885 42702\n71870 78482\n24467 30082\n55320 57560\n12869 42391\n4880 63899\n20181 87068\n30517 91828\n2366 5163\n34025 57363\n40078 78494\n74890 97472\n6326 6903\n3872 9577\n43727 49074\n60095 88096\n62089 94318\n5222 72468\n7972 95175\n57654 67786\n154 39873\n29078 68918\n24640 34562\n4998 15457\n11626 25503\n57506 71407\n18673 74017\n15045 74891\n50835 88939\n1259 86043\n20620 20808\n52334 95621\n22813 44788\n1165 78778\n18310 28866\n18721 58085\n29664 64646\n18514 85633\n76302 99368\n66299 87179\n78531 94441\n93520 96715\n18290 22063\n6366 29516\n82791 91454\n12253 42635\n36589 47149\n38194 53311\n26597 83332\n10846 40884\n52864 85446\n24022 61591\n7733 53510\n69868 87786\n1177 10224\n55992 99720\n7318 28266\n75206 92100\n10800 43538\n16789 58348\n3202 33931\n55644 75043\n56382 84205\n29652 33235\n76203 95891\n45292 82156\n18424 63311\n67089 94178\n37836 89884\n8157 41456\n36743 54929\n7017 22557\n9646 99271\n14628 84659\n17612 36823\n34709 83960\n28169 30583\n8081 51256\n42035 51132\n69204 79301\n23660 73575\n9572 84567\n2221 88573\n29775 96596\n27268 95395\n43909 95805\n18299 58282\n56351 65697\n28798 70807\n22015 79672\n1272 25595\n12237 25697\n64383 80558\n62002 96305\n47288 55412\n41057 53584\n21871 75967\n36830 44341\n34823 83136\n48288 61200\n48785 58356\n69143 98322\n5630 30449\n51599 54316\n73540 81012\n44191 65178\n49710 57359\n5016 12297\n25307 25800\n16443 27062\n59462 78683\n14405 49385\n919 36148\n82438 96879\n24268 80983\n47010 95320\n36 99537\n46834 47353\n66660 70818\n57928 97168\n4030 43730\n6824 35207\n29158 67951\n20426 97085\n3670 32277\n23199 28780\n9414 29217\n33524 45041\n8223 58307\n11783 84844\n50621 66255\n19979 65074\n165 10899\n29676 78944\n11272 90849\n39850 63257\n15166 73629\n36859 42410\n1060 64148\n47231 49236\n33531 97358\n17079 87597\n50114 97454\n20701 82735\n42241 89370\n55432 61728\n50778 56407\n63419 81283\n1852 81400\n16706 69238\n53 44402\n40856 59379\n4314 46249\n5907 17637\n21925 60709\n64405 73686\n47805 55628\n35896 67653\n8 20873\n57689 93354\n7257 11342\n16792 96213\n14838 50311\n35043 84924\n20541 80439\n41055 85075\n20991 91301\n25144 30862\n12552 15901\n3019 43413\n44154 74763\n26558 56736\n6096 49761\n64545 99353\n17415 95511\n65831 84102\n30057 99600\n22872 45856\n8083 77360\n38818 42481\n89995 91318\n6688 78282\n40478 69350\n12180 88620\n39775 81163\n22015 89033\n13334 66183\n24553 64833\n7296 94336\n4793 76645\n21002 93552\n11403 64622\n62281 93802\n44244 94817\n50764 75966\n14800 21812\n3982 82577\n10164 11926\n5076 99362\n15312 29865\n59092 92235\n11478 81505\n42278 63970\n38332 43420\n53670 81759\n32241 67334\n28211 51394\n5725 16679\n6489 28066\n41953 63213\n35054 94984\n21401 57538\n69516 86053\n70124 90768\n40327 84588\n48350 81263\n41475 65445\n23560 41044\n63536 83429\n38877 47418\n4834 78492\n44282 81543\n55027 70936\n43965 98021\n54156 83499\n65540 95118\n40018 98656\n6447 66604\n60556 82416\n29591 33936\n19574 95791\n64769 89948\n10741 98077\n1199 28917\n31363 96531\n37681 64180\n7689 83609\n87367 97208\n47468 87232\n38732 46055\n66438 91767\n59046 73361\n33586 91695\n18019 55172\n38884 56995\n56726 66545\n65377 75412\n25818 84888\n18951 54382\n82224 91541\n5688 79532\n14686 90520\n40849 64981\n38002 59247\n27192 97430\n41804 83987\n41215 97497\n9278 61153\n50 6991\n60105 80206\n39300 93873\n18506 23047\n52919 69919\n17736 89116\n34923 52293\n9527 49312\n64890 84811\n18974 89548\n51397 59194\n58206 79107\n4434 49238\n19792 58967\n8462 28621\n1407 54750\n37044 99545\n18857 54272\n46542 69629\n53185 90754\n17823 75517\n59405 69058\n12495 20390\n22168 56109\n76279 99192\n42782 72545\n25736 94463\n9865 96365\n33664 85845\n6990 46615\n2070 32144\n58421 89965\n41467 48689\n10277 24074\n41360 78787\n62280 92001\n47929 90577\n62808 84290\n11429 78586\n29600 33787\n38153 62443\n43171 77394\n27597 67662\n17982 19879\n28443 55284\n32983 63435\n43064 43396\n36780 37866\n2385 75645\n95673 97111\n27623 31330\n28310 31130\n74295 97877\n29598 39405\n46863 95225\n21565 70138\n43506 61631\n14656 92649\n25742 63760\n41324 53849\n54131 65093\n22884 28410\n10356 31936\n47090 49242\n10047 14833\n46772 99445\n26460 61431\n4213 73264\n49199 51236\n39809 67514\n71382 80383\n74352 86617\n57226 64084\n11328 47430\n60345 75300\n54821 83014\n22787 37915\n38749 75593\n5214 46608\n25743 33766\n33511 67227\n13756 54772\n64255 75336\n49785 96436\n26391 47012\n58128 85752\n11531 30818\n79774 96109\n4782 36545\n60518 82767\n82195 84454\n56655 92106\n27245 32995\n4643 92462\n20315 83988\n10105 64567\n91935 94774\n22058 76190\n52702 94090\n43521 46214\n27559 79837\n14686 51385\n43250 50172\n54170 56994\n64557 97837\n60906 83362\n41297 77963\n30819 81068\n29727 92515\n32734 46013\n30164 31174\n26787 47394\n76257 96743\n38608 81422\n980 11149\n43022 98478\n59116 92363\n81090 82403\n33496 75375\n25680 74820\n30146 82284\n29528 56832\n61280 63620\n80178 95950\n1528 38855\n2276 72606\n39104 89326\n24564 68173\n68438 89098\n23405 92640\n40401 70898\n3351 54083\n12315 14327\n2639 42408\n12616 90338\n30595 90903\n15138 51634\n884 69445\n32713 41727\n55083 66657\n52026 72817\n1474 55063\n73128 88776\n1579 82185\n63070 90089\n64863 70490\n31273 70073\n7516 90511\n10381 67828\n19037 56073\n43210 70604\n496 43896\n45905 64863\n96730 98837\n9598 36179\n4345 93167\n27781 34267\n6002 13453\n17963 95161\n35278 94000\n16058 56639\n1839 37167\n8266 67638\n54667 59480\n48896 94372\n2194 3032\n45217 76897\n30867 48902\n57668 63776\n16713 36247\n68234 73757\n6748 38956\n9396 18740\n14637 33338\n35334 52075\n17117 45157\n11635 37667\n40741 74194\n55099 59365\n53217 95963\n8784 69565\n87555 97018\n23237 94859\n6355 21743\n49750 99991\n37381 98753\n5412 98730\n36744 51838\n23006 56219\n13515 35550\n16517 86294\n9868 10179\n29151 55151\n1327 1379\n7358 64068\n23072 63251\n25640 34970\n58468 80862\n38579 60077\n433 47969\n7878 13475\n46499 77408\n26113 77448\n2221 44574\n38911 62713\n54049 85383\n19610 40452\n964 74058\n84776 85129\n11916 25835\n311 91772\n24275 71058\n34 39829\n84444 93800\n6531 59940\n66713 83539\n12535 28886\n73653 81361\n9574 71434\n40639 63889\n31019 72280\n30181 96481\n44953 78554\n13301 85638\n36677 93216\n48551 56465\n1525 84876\n23948 55959\n41524 95473\n21267 99333\n19341 57516\n25689 75233\n11746 34250\n71645 72123\n28992 80097\n96135 98403\n83905 94410\n86438 87411\n32469 72267\n34127 63290\n35350 88547\n23247 48456\n17056 23455\n24924 69922\n13161 27379\n40538 43207\n40542 97145\n404 47008\n26003 44336\n19865 66834\n7077 91787\n3789 29916\n2129 15191\n28553 53494\n1548 89743\n6089 61023\n3617 34328\n21540 89055\n37789 94547\n9897 33691\n72673 90585\n70545 92850\n20552 64776\n2319 87409\n25197 50268\n28386 32761\n12192 61559\n25708 83458\n11264 36003\n57320 92924\n55897 75782\n24586 33070\n13016 65717\n6185 61511\n788 21182\n21 9483\n52114 54276\n7151 20431\n24031 62247\n12605 46016\n13125 78137\n53527 78588\n21326 86913\n96432 99496\n32716 73105\n6306 17853\n5887 90399\n3065 66333\n74650 84429\n78859 97874\n3958 58363\n16060 90233\n7858 89164\n16409 50673\n43144 72565\n55932 64899\n18316 76856\n25414 45612\n24 47481\n24231 36097\n16727 35321\n75776 87605\n4217 8521\n27603 78242\n81548 94887\n63000 65784\n14107 97874\n26129 66480\n59823 93323\n37670 76350\n38013 42522\n27798 52176\n22108 30705\n3266 13218\n13894 19046\n58165 79018\n24164 29277\n13747 93397\n6773 31122\n28417 55001\n31863 57363\n25279 86679\n11330 86434\n26307 33085\n26665 52467\n47116 84771\n51057 51622\n20414 27371\n16705 44940\n46093 98555\n56775 69741\n56776 76483\n13149 97621\n5572 72212\n42336 48686\n25237 89064\n17338 79717\n30495 99580\n53561 68289\n18452 59243\n27751 87728\n22526 90014\n30555 37534\n97446 98714\n19155 33806\n3051 81996\n24921 95479\n14503 28826\n53607 87751\n68610 68768\n1248 64712\n56400 56619\n10407 81960\n3473 39479\n73604 91565\n4944 25566\n9339 10567\n47551 65532\n36596 99857\n8647 50554\n47690 71893\n22708 94598\n6059 82246\n70107 98635\n22245 41713\n41908 92700\n19711 35557\n68602 96684\n57538 94402\n32199 41699\n3163 7160\n30443 61237\n58375 63842\n64903 67215\n31396 97394\n20800 58415\n57846 63735\n5918 18660\n55314 61758\n71833 89563\n59201 70263\n23127 38561\n33671 57528\n84906 96482\n6594 18020\n12240 60606\n18404 44695\n48827 91029\n79358 89392\n31991 81594\n57845 63146\n59607 88641\n55961 78353\n33476 66722\n10492 80970\n56160 93995\n12593 49464\n61045 62256\n9299 33902\n17684 19272\n15266 22326\n23106 27950\n14111 34816\n39461 59148\n43494 83627\n53196 54861\n14121 19157\n28178 42148\n19729 69465\n46861 49356\n44393 72652\n17592 58664\n36773 82188\n10438 98926\n34641 70014\n646 20167\n2237 26995\n39363 56046\n85 81491\n37287 76617\n59790 94939\n64550 73161\n17079 51406\n65018 69825\n65229 71459\n66647 93367\n37085 53396\n16007 41321\n8919 11050\n71470 94165\n26421 80732\n62225 80862\n85329 88974\n45636 80314\n11702 24735\n8933 86227\n33671 67277\n59505 84815\n17754 74425\n31561 90158\n4959 80088\n23458 31808\n25444 95725\n36456 78057\n25009 52674\n23204 37059\n14714 47038\n49397 62186\n12613 12926\n5302 18406\n70808 78867\n8167 12843\n54090 94060\n46136 79323\n4277 76290\n62854 72368\n26239 73463\n88447 88958\n78003 87467\n1840 20812\n17296 66172\n19514 33722\n79255 85372\n55435 87077\n21535 40058\n30533 72687\n30171 90730\n40425 86809\n25966 36676\n75268 80961\n90224 99291\n50396 75629\n65194 95039\n28043 47781\n37864 93629\n9565 66558\n37079 99636\n42351 67648\n34633 41537\n30437 80391\n42809 63275\n17694 35504\n4233 27705\n52821 88573\n217 76273\n52870 72109\n50588 53859\n5833 78523\n57084 80088\n52995 53594\n3567 10489\n13613 15741\n5857 16307\n32097 68248\n18517 23312\n33749 51469\n4926 85420\n21095 37377\n39579 63855\n29626 44427\n9378 71470\n13492 80188\n24603 41608\n29224 76093\n25719 63467\n14619 25663\n3902 11966\n43008 73434\n57836 94534\n59307 59960\n52940 97762\n69670 96914\n65678 88948\n49830 72434\n59280 71237\n48622 67370\n46636 89593\n45612 92905\n19744 24129\n5820 51697\n37128 76725\n17559 69102\n7181 71966\n40181 80194\n54469 84039\n38724 70090\n20047 21412\n10466 88361\n42742 43897\n14911 49170\n34870 82546\n30405 39653\n38220 61678\n7793 31868\n11146 77140\n22674 24781\n51958 78717\n51929 68549\n8973 55643\n75422 88455\n72949 95483\n29654 54481\n59608 87920\n1235 15687\n65062 71579\n41651 89922\n48990 51272\n7836 55880\n10188 65824\n17180 99409\n88890 95265\n566 45920\n30490 46981\n13645 19865\n13467 72619\n33276 47365\n38424 99181\n107 78878\n62490 91562\n39437 94759\n81849 83115\n29592 89479\n16771 17754\n23015 64695\n6100 19231\n14178 72746\n50474 54763\n37713 50252\n21298 60701\n42373 75073\n47992 82822\n40331 68120\n22767 79024\n21952 64493\n51188 71229\n26912 52680\n35885 83005\n52734 55080\n14076 53671\n13535 91917\n23842 90397\n68611 89513\n20245 58415\n76241 84673\n37048 42997\n42747 87058\n8319 17775\n1430 41275\n61439 95461\n2770 40085\n26451 51354\n17556 19386\n15448 27614\n11222 64968\n80013 92832\n83116 89829\n36447 76201\n2921 65383\n8198 99593\n8134 55946\n54591 76817\n30456 98765\n50552 68456\n16700 79369\n1900 49897\n69064 71645\n47845 76112\n12335 51091\n72897 89091\n22823 83116\n50448 90731\n65936 98497\n12048 67543\n33361 89537\n78031 96983\n89068 94717\n28792 75350\n53031 95696\n2225 46498\n7211 71426\n43820 72919\n41652 99320\n54566 82341\n55459 61448\n63024 96631\n19970 83824\n6138 30107\n77806 88954\n28844 31424\n11755 46464\n19264 65710\n48337 71259\n66371 86301\n1841 30034\n25021 32488\n55072 81695\n36145 46061\n10954 25717\n26451 65267\n17896 69744\n42069 80127\n19818 34292\n57664 98373\n10134 87675\n20830 68602\n13147 37940\n5136 89731\n56866 71614\n32901 93781\n27875 58024\n40783 63303\n7606 36220\n35614 87100\n67057 67995\n14044 46211\n42639 81733\n16766 29730\n52309 99228\n92278 99210\n15153 73145\n81410 90025\n50290 65031\n6261 88890\n62707 65677\n4555 78221\n30767 74315\n52262 67715\n14334 59168\n36434 83172\n75704 79741\n17908 99863\n7171 47548\n28026 94899\n55290 80646\n22428 40555\n81025 86888\n50110 82525\n7781 81037\n19598 64388\n43092 96292\n57741 76601\n34385 59974\n1157 9897\n6196 17978\n65485 71229\n82855 93376\n42662 45387\n4165 49974\n29823 60828\n6609 79617\n5519 21623\n62002 83054\n18810 56229\n60361 82847\n44598 65038\n14149 30590\n20194 97627\n65639 66733\n22443 44407\n80853 98603\n36193 95324\n20277 58149\n64587 99491\n25948 26786\n81741 83612\n1038 24928\n49231 50415\n22012 44447\n33022 70328\n17379 68132\n23500 88351\n33256 39965\n9984 21571\n30295 98915\n40992 53031\n9631 87609\n1323 50401\n17520 69396\n22065 46527\n26700 51277\n76127 95454\n22036 96213\n11263 85061\n6607 64012\n23776 44412\n6577 53584\n8853 75859\n49073 53999\n44404 59197\n24553 88415\n5082 47248\n4557 50839\n8266 97627\n70559 93082\n20403 31205\n20456 27163\n16326 80577\n66141 71604\n6412 42549\n49470 91973\n18926 85367\n38973 39682\n17834 68342\n57987 68340\n10645 88991\n59798 83544\n12145 32841\n2367 85733\n42735 84151\n31078 49399\n17201 38993\n17269 19374\n8375 32729\n20074 26893\n36757 83020\n21346 62077\n10099 93172\n78472 98176\n68220 69277\n20487 71024\n17030 87315\n29604 86543\n31924 88646\n3598 77921\n754 44816\n8657 22754\n26323 40901\n66354 75900\n78846 85828\n5058 64149\n95396 97888\n13733 39376\n43296 71536\n4076 88316\n13318 55807\n41531 82282\n15746 90857\n81336 97980\n26842 91544\n51609 93874\n23859 74376\n7609 8201\n36203 39848\n1153 77653\n82502 97172\n6254 83848\n51931 96452\n68114 94908\n52538 97186\n30352 71323\n7971 62348\n68536 98862\n48792 57884\n11690 66529\n23917 39019\n82478 82866\n55801 75690\n24992 59824\n23284 97185\n48189 62050\n32092 47786\n34420 95679\n43532 44585\n10987 81257\n75912 78473\n26477 66534\n16548 68519\n66337 90618\n24907 54044\n13440 79933\n62056 89563\n22141 43705\n70250 99123\n61595 93625\n66911 83403\n16792 37825\n17695 51874\n12892 23711\n42118 81086\n11930 32258\n52586 97399\n23035 74572\n22024 60325\n8860 77346\n7114 95659\n29530 49688\n31495 59216\n46177 57085\n39959 92049\n6841 42977\n20770 84775\n891 39221\n690 69598\n52350 59679\n38560 79837\n59120 75796\n11086 94049\n78979 85648\n63096 82886\n22186 59436\n10401 51294\n9485 33429\n66414 96891\n960 56688\n29463 60010\n48281 98960\n78270 88689\n51599 87793\n24308 67236\n9297 72325\n10899 40605\n18363 89381\n58418 89729\n20503 76040\n15259 87189\n7732 38100\n50698 92754\n35240 41979\n24676 56257\n1232 61519\n71095 82516\n13267 19671\n45291 70083\n53062 62820\n73480 89111\n39056 55257\n4370 15676\n53717 66165\n20354 63233\n16973 69284\n34298 52865\n32308 83880\n53451 54674\n5358 96128\n22660 37480\n42320 94016\n28214 39268\n23149 32367\n80393 96685\n3264 92984\n64407 94503\n14733 36746\n44548 81970\n46421 70847\n1709 63429\n74419 99574\n8506 9047\n11290 34568\n24285 49486\n1003 67975\n13762 30476\n61834 98370\n37050 99920\n76085 86941\n2883 12994\n8685 81164\n1360 82422\n32991 33662\n4453 31094\n43290 58938\n22549 54201\n36147 75275\n18579 69705\n9120 93429\n53739 86684\n15318 52953\n39343 84193\n63461 97182\n1879 41730\n37005 55398\n58889 78723\n27940 82008\n52335 93026\n8900 77609\n40832 43307\n28945 30401\n53454 77362\n30413 65470\n17067 37004\n43951 96803\n16848 54756\n1474 7013\n16070 32827\n24877 87215\n45419 49204\n12604 78765\n34963 59601\n1622 5424\n38236 48914\n61545 96663\n16623 40815\n38383 71055\n7740 71289\n62461 77524\n33349 62939\n34684 77192\n24735 73135\n48667 88526\n16098 61077\n15073 49304\n16680 88065\n54177 91117\n74266 91864\n49155 91082\n11482 67455\n4576 85730\n1246 85647\n8578 79679\n36700 66849\n16083 86485\n4596 64357\n7941 64338\n16876 74008\n31669 50947\n21133 79211\n21276 88477\n29789 73173\n58555 89043\n27871 78345\n59012 60917\n11027 92895\n70986 95174\n55537 68555\n15847 82784\n9466 99311\n21948 37719\n39884 55366\n14075 58425\n3240 67325\n16871 63379\n66710 68111\n42690 95494\n61511 62231\n65012 77992\n15615 96084\n9446 31003\n16734 97508\n23836 52907\n63558 74993\n68719 71751\n552 55657\n39398 95405\n8220 20643\n19367 56886\n31839 46559\n16294 72721\n45566 72910\n32679 45284\n3093 38225\n28912 65725\n48269 48834\n25875 34440\n19455 69309\n46760 83152\n2651 50031\n48456 53468\n48876 81662\n38150 46577\n15313 50481\n26718 37722\n5058 71033\n11772 16652\n4745 59836\n61153 79453\n32403 48794\n4238 67812\n49318 50117\n19315 28148\n62156 88162\n21963 75048\n11208 47729\n22422 88498\n55451 85850\n3238 24349\n20754 37900\n37283 84878\n33730 76834\n46628 77372\n44570 54925\n37942 70271\n18943 47490\n21144 61593\n71312 95376\n17835 49580\n40594 87601\n21917 59191\n29589 66134\n4326 53632\n12898 25415\n31376 93378\n5862 28933\n23812 36764\n79033 87478\n38585 96062\n24146 53452\n77984 93502\n28380 84606\n22608 43258\n52670 67853\n38125 86401\n30879 76455\n26925 37490\n96469 99675\n22339 35664\n54718 57370\n14850 58775\n8539 50329\n63082 96340\n8949 93798\n16827 58734\n8306 13743\n39752 90848\n60932 83691\n3213 31003\n17804 91885\n17123 92521\n57233 57575\n41723 92496\n9225 27517\n15700 47319\n3667 56450\n41034 82965\n11847 42341\n94686 97481\n63176 68160\n19231 28604\n85800 91876\n43953 56296\n43386 46166\n63049 90765\n34686 41223\n30547 85288\n43605 52900\n27555 70044\n86294 95270\n55161 97711\n49779 73446\n58176 86456\n28065 75487\n3921 66466\n9738 85719\n26335 63554\n45534 78388\n62801 77701\n55437 69924\n14764 89769\n40247 96580\n4755 96668\n12476 74593\n3486 86910\n30175 83944\n39017 63883\n12439 28670\n40359 66016\n28587 50431\n14091 67405\n31526 59846\n69644 94279\n30433 78746\n30609 61594\n36302 83856\n82063 96479\n18487 35768\n81908 90450\n35952 95384\n10256 99191\n733 2680\n63600 93239\n44870 70352\n86753 94217\n4646 90216\n65877 68928\n16029 24719\n20162 48499\n9957 45651\n76014 93373\n1107 4429\n27332 27360\n18795 39841\n49995 78262\n5848 20260\n56702 94785\n7954 96289\n17432 77930\n65666 82023\n10066 86737\n50985 65529\n2978 11330\n16422 79836\n4144 60100\n59209 74791\n40469 83272\n48156 90191\n26378 70396\n57393 89741\n33666 89035\n30035 49752\n20605 45354\n44327 72024\n17479 54999\n13626 15283\n24364 51295\n5951 92332\n68496 84075\n28714 48891\n43708 94595\n43862 81144\n91645 98042\n77439 89485\n18685 32612\n2706 4258\n32130 64833\n55052 97884\n5111 20173\n37426 64771\n24228 72667\n20589 84577\n76972 98124\n5726 95494\n24375 81412\n3193 3623\n26642 44560\n50825 62666\n15815 55274\n39375 43066\n8769 51325\n20576 37693\n78781 93740\n61531 61869\n17722 63336\n29364 52570\n943 65596\n7202 63839\n38147 39803\n73843 87540\n24199 26063\n3010 51027\n10021 73058\n81727 82616\n8746 37918\n51849 71780\n32639 57041\n3468 26374\n4166 17392\n46714 84088\n66055 88071\n42111 58871\n14542 52887\n19732 54968\n10878 90710\n4719 68745\n14627 65609\n21653 75607\n71028 92710\n55831 69639\n28653 45941\n48768 77178\n19611 45782\n33783 52896\n34802 69796\n18519 28157\n34461 51649\n13491 80387\n8392 44183\n2540 89274\n15052 50876\n14737 97866\n25732 74283\n60781 94106\n23783 86144\n57023 63773\n56141 58720\n16264 95400\n5950 8059\n46293 95621\n4199 48892\n81166 95695\n38327 82089\n69268 72711\n40656 52181\n28339 77512\n32260 95524\n25873 42738\n87694 98503\n40653 87643\n4055 48498\n5913 68802\n3904 20860\n25475 59345\n24635 78663\n48865 85982\n1326 23418\n33723 88147\n7371 27787\n325 55100\n22891 24905\n42232 76896\n25223 48756\n31147 43359\n58176 86133\n24105 50077\n36065 43484\n53600 67044\n27972 61805\n65428 75690\n10663 43690\n11798 19744\n1927 63130\n67718 99179\n51801 79823\n9484 60808\n49892 69831\n6538 57338\n26484 29909\n9741 25143\n74648 89157\n286 77161\n19123 37162\n29934 49943\n53152 62700\n55092 90362\n17040 29397\n11787 62346\n15836 99628\n34771 48971\n14787 20547\n62112 77415\n47 41609\n4066 46326\n49151 73815\n59182 88472\n27795 93680\n40406 42839\n17167 31432\n2850 59931\n25071 28165\n66620 76578\n16637 45156\n51534 57401\n23477 24964\n55991 58940\n77103 77774\n29215 69529\n55896 77902\n91354 91745\n18389 47138\n47524 81744\n22593 82869\n10454 23107\n29060 41813\n56334 82542\n47792 72098\n43928 63630\n70702 76974\n37019 64278\n14808 77856\n58535 87976\n57621 78300\n34501 87915\n53998 92966\n54617 89465\n49005 50126\n62325 88126\n41639 85298\n24920 36736\n20935 87475\n30679 53051\n9659 66737\n38841 48287\n3977 20250\n55404 77664\n14035 56874\n70129 75941\n1332 42081\n26047 72503\n7011 39319\n1337 96622\n46183 82401\n58316 88085\n12709 59615\n10317 92729\n17908 32599\n45922 61126\n2199 83793\n55863 57912\n66762 98089\n20460 92506\n39634 62468\n34860 39714\n59006 84549\n1373 52110\n11634 89993\n36170 81597\n68952 85667\n38097 74384\n16788 60800\n43778 80427\n23376 74038\n50137 71876\n74698 74886\n5270 52373\n45530 72494\n6217 97483\n22960 47797\n698 29965\n13117 64237\n41206 44876\n3628 25676\n24789 93563\n20349 36973\n41114 95915\n37639 40080\n35385 96326\n12891 27150\n4434 94190\n2838 28418\n10310 95597\n12014 63630\n22226 29242\n13202 34325\n15744 84448\n76705 94787\n33937 76504\n42948 50691\n30471 90357\n28810 81512\n47138 83492\n18610 48073\n3499 76191\n1954 94315\n24213 65722\n65795 74259\n10539 94042\n51407 81585\n42112 95428\n6790 89593\n61045 79016\n4397 52318\n53247 80128\n65727 81359\n49974 51799\n83612 98115\n58477 71178\n31114 35048\n62284 99250\n64942 83579\n40594 71463\n32062 86905\n36966 54076\n18544 75223\n60809 90389\n36614 97703\n62100 97706\n819 74714\n68887 88769\n12023 35628\n26915 73770\n15736 93700\n72151 87333\n41586 98779\n30997 64752\n34539 90347\n19892 99763\n41177 90855\n17644 86043\n2047 73088\n23232 42615\n10300 12421\n76880 77903\n17866 38374\n12478 80654\n63338 91374\n2428 59700\n19462 30313\n6797 47239\n15875 55034\n31073 41711\n9460 45960\n30493 68309\n42216 54350\n60447 73395\n54121 60257\n20091 70463\n12539 88443\n51467 79747\n2817 38995\n45338 62384\n40470 74972\n53184 67142\n1571 63507\n93222 95394\n20701 74041\n29131 73791\n4414 18636\n61556 77403\n50730 73682\n91368 97837\n41214 47944\n56043 73666\n7218 12326\n20446 97750\n23324 64917\n57969 67978\n11551 64537\n68462 83320\n5102 8110\n26329 41946\n8668 42894\n29181 54552\n25821 74186\n26747 80470\n29416 47501\n13132 22275\n3508 84404\n17643 98438\n51840 82295\n65324 79840\n72081 94017\n15101 82772\n29857 80815\n47149 54714\n7842 13365\n25497 28360\n30699 74214\n25442 58752\n1973 46943\n16594 46340\n78787 96387\n18259 21108\n34684 78431\n44211 73263\n1516 66723\n30464 98592\n41524 45207\n76626 83297\n37443 40484\n54072 64508\n29363 88482\n23582 23818\n73996 89637\n16977 19097\n92548 96719\n5130 27658\n81413 91602\n4116 31598\n5697 7410\n51769 77201\n36798 78735\n19989 34768\n65523 78801\n32130 35896\n47518 80065\n78616 81834\n8328 68605\n77774 98413\n10667 54416\n30137 35130\n4587 60875\n59819 76181\n65345 99185\n89109 99332\n2974 14588\n38081 39787\n12192 88267\n21267 63028\n12244 92535\n1348 83920\n40421 79278\n40581 79160\n6222 33878\n56724 87048\n42205 75528\n47618 64096\n5230 95418\n503 76889\n32760 94455\n45639 50982\n63479 93887\n39531 90736\n18033 28950\n33051 93473\n47666 49984\n57313 61727\n3909 50031\n917 31934\n29810 58871\n19726 63558\n3316 32437\n2604 43577\n23280 27414\n40645 79232\n56481 65483\n26393 80351\n35725 70089\n14701 49142\n83007 92281\n6098 28009\n4629 24827\n71490 98059\n6759 80327\n28412 87008\n55790 73836\n74338 90544\n6057 89359\n60297 79773\n32898 33400\n49729 63976\n82211 95914\n3958 4719\n61388 66267\n28170 91518\n62916 95744\n96 768\n46885 92274\n95910 97174\n56288 82448\n10247 74971\n3144 72220\n42038 63828\n65566 77493\n11584 62283\n13398 49406\n15696 28741\n3870 78809\n37297 97160\n30177 34443\n10391 20277\n37422 74738\n58195 71577\n29174 37016\n51061 70180\n69480 99455\n704 37550\n29446 34189\n19618 30229\n19319 51597\n530 76712\n17202 31872\n72891 73601\n43319 95648\n80508 85768\n42580 51378\n41709 95909\n46440 51537\n19641 62919\n34559 46026\n19975 64694\n61094 87397\n27833 44248\n11073 80045\n3861 4526\n9720 50889\n1539 85924\n21156 95994\n44693 49897\n33898 97978\n17140 81534\n41655 96776\n2758 46198\n240 95087\n59418 88655\n57532 78180\n41814 72128\n50931 70563\n61793 91000\n45260 96605\n48256 71723\n929 65220\n34283 42192\n57957 66484\n36137 99163\n23837 48836\n70507 79985\n71918 80746\n47415 83965\n53552 89743\n44942 97507\n56863 74508\n31535 86063\n77201 90598\n47947 99111\n6029 90890\n84305 90432\n79565 80902\n15594 30814\n5758 29289\n45073 88402\n27851 80338\n16062 43876\n16622 90621\n4572 36653\n51451 91573\n14952 96342\n46905 53484\n87382 91958\n10073 68985\n30960 43146\n44663 97639\n23502 65462\n3307 10547\n15278 35037\n21662 80855\n88373 91598\n45963 66416\n59948 75353\n13628 89273\n15709 29118\n29765 48303\n35551 40542\n9650 77862\n28599 69256\n22494 31489\n44611 73103\n6243 29540\n10639 86991\n16249 66342\n14585 76673\n49801 69239\n25523 38022\n38695 68436\n26899 44684\n69927 99956\n58753 97736\n176 32531\n43944 88837\n30401 75112\n501 21240\n49687 58388\n5948 40616\n798 49346\n1994 56966\n8851 25821\n2178 85553\n29673 38214\n68507 87281\n48148 79587\n14411 45146\n32382 35606\n34532 86198\n11282 54348\n28840 98966\n25726 65025\n35029 98054\n21082 62232\n32452 96726\n72429 77332\n52476 75433\n12048 59889\n30423 63425\n30763 98260\n18661 65783\n20108 95627\n5917 16623\n18250 24966\n73280 86544\n35785 59767\n417 68667\n30992 74634\n44556 98430\n85762 98193\n59548 60402\n34091 42270\n1659 39127\n96294 97591\n50852 51431\n17788 28777\n6400 55520\n55215 73182\n13227 41032\n15580 29834\n79269 84596\n11776 31738\n4421 71320\n45399 71667\n51586 61946\n64500 92242\n45868 90836\n84251 92294\n16025 69965\n37217 76145\n31495 51195\n76125 83893\n1679 82530\n32681 40301\n75857 81416\n180 76277\n12006 23784\n43930 58192\n7586 31184\n36444 88662\n10157 78176\n44407 81446\n57417 93101\n18561 73496\n91587 94483\n32093 68645\n55285 70333\n23687 35307\n3815 34449\n46835 55026\n27488 90824\n83618 92549\n57000 66466\n32022 39275\n68795 98799\n10812 47999\n57155 84386\n14246 69778\n30 9055\n34553 97721\n14434 38154\n11076 61300\n13023 34488\n10702 68561\n17342 30105\n1930 44508\n22331 79232\n20669 37580\n18390 81718\n70028 72856\n1288 76217\n2869 22941\n56622 86757\n7610 31754\n74677 83449\n33007 49859\n28542 47638\n46743 61859\n17941 55648\n29889 36795\n473 59476\n11009 74934\n6103 35626\n41520 99088\n20744 29223\n20301 23786\n31064 57930\n5751 31800\n7292 57450\n12917 37731\n17685 75034\n12278 27392\n2647 11106\n12265 97550\n24955 35894\n49629 62650\n51267 79894\n6713 55373\n54431 65691\n13143 35448\n73940 92841\n22381 41683\n7386 56688\n39076 56610\n51720 85772\n29180 70802\n17325 58097\n39002 92940\n24924 83170\n19024 55643\n76555 93354\n38768 55465\n3374 88391\n70248 81654\n42324 81658\n9421 95749\n26799 29326\n68189 68926\n4994 50856\n3351 12335\n17453 50585\n3505 38226\n17571 26847\n24783 31713\n31553 36357\n49700 80858\n33711 96393\n86276 96712\n13392 61805\n51298 56254\n67238 82180\n20767 36114\n15747 58915\n16591 17031\n24685 58751\n26055 84599\n60454 92735\n6747 67243\n40122 70632\n60058 64153\n55461 90590\n59424 84477\n81005 92749\n13796 51359\n917 45003\n58123 75670\n15761 77343\n9544 26884\n4466 71917\n19102 83968\n66210 88479\n70865 94247\n69762 94073\n23122 27553\n15469 56867\n3812 64554\n58018 82840\n97957 98302\n69837 99053\n4041 58044\n17213 65306\n8151 35997\n86354 92326\n55880 99769\n28740 86553\n20658 41638\n45172 98697\n9643 95930\n65998 79191\n73605 88860\n7320 45106\n38576 63885\n8147 33270\n66070 98517\n44735 90509\n62262 97390\n52491 56715\n40394 81333\n39623 44088\n51175 68006\n2353 23460\n30004 93537\n7743 56493\n35656 40353\n89566 93627\n15444 80623\n1445 34749\n11261 48037\n51316 70632\n15478 30941\n16935 48009\n7107 8264\n90439 99809\n66977 91161\n52124 83440\n7145 69281\n62034 85748\n17262 66382\n14765 47694\n48296 75649\n8221 19088\n10279 56664\n2178 31357\n64942 83480\n51537 78528\n26645 76902\n6357 65168\n10377 22624\n3353 60505\n4656 15895\n20535 68401\n74842 75964\n45834 74196\n67295 93000\n48012 83105\n32701 74114\n26962 69498\n2142 18137\n11075 52460\n18745 38433\n9776 65933\n13631 75489\n26945 33968\n20713 41589\n9421 33099\n14300 67291\n7808 11332\n76103 97928\n44977 62249\n48609 51436\n46980 68949\n7910 53386\n82326 98652\n32246 41582\n74938 80966\n7529 21609\n41461 61866\n18715 53576\n24469 98356\n47782 82273\n21421 39823\n40534 81964\n21841 87848\n21579 49686\n2184 92255\n37986 42735\n68260 85941\n12387 22115\n72735 87000\n22024 64898\n33203 40312\n78147 91027\n47359 74018\n17881 61215\n21686 77318\n4429 15701\n3168 15995\n22121 80708\n24709 97573\n44097 86440\n44343 55674\n13069 26835\n9157 63171\n37259 61271\n48230 72918\n25476 32471\n57949 64719\n26344 49181\n5099 63264\n63026 77516\n43800 82828\n32692 36579\n14283 87691\n33563 84718\n90285 97989\n36040 49538\n4145 79904\n5352 30883\n21163 95466\n57011 74845\n7408 23008\n88712 95967\n5028 86321\n12976 58062\n5407 41464\n6433 46300\n61191 61426\n76855 84845\n61509 89000\n21471 80187\n14494 47579\n66413 96777\n38373 83062\n9131 29990\n40526 72626\n28350 33718\n32919 75145\n11113 28764\n48033 49993\n1713 84762\n8117 38843\n22629 72209\n55031 58098\n11077 43518\n20008 46687\n38118 43908\n556 91118\n10787 79284\n16582 29823\n31327 67901\n72211 82528\n44553 71603\n75391 79375\n91412 92904\n76896 84324\n21624 42723\n43085 85426\n24273 34496\n27922 54413\n15141 87838\n37301 77699\n26498 53669\n47153 90029\n60525 66070\n35378 95048\n64405 77029\n1942 4361\n93378 99586\n60 40286\n31986 37135\n1359 46119\n38806 95238\n2066 4333\n9716 42849\n1666 93497\n25741 63343\n26014 81290\n12772 74497\n61349 84541\n64429 80254\n35056 97538\n41354 78047\n41961 45496\n48607 52610\n6448 48566\n39957 89873\n34706 48079\n50270 72661\n9678 82079\n2190 34583\n5426 91002\n70927 81986\n39241 81699\n29529 81528\n76970 81448\n34061 65713\n11728 71152\n24573 43622\n35546 87850\n74860 89703\n40894 52706\n29807 85806\n36193 69529\n6744 69591\n59663 79881\n28544 42705\n74911 75465\n49539 63980\n66793 81122\n33711 98554\n10436 65227\n8741 11123\n27152 50577\n23976 39810\n97343 98793\n73524 76115\n55929 72703\n7687 61529\n13801 90594\n10472 79612\n36838 79762\n13744 66034\n62731 95730\n13398 93777\n83782 89782\n29328 60711\n25258 52345\n57222 62835\n47138 85521\n48409 59761\n41982 72959\n11672 13868\n84245 96925\n50456 69671\n22409 38319\n31422 32147\n21447 61149\n14618 63850\n1789 94669\n22732 38455\n3527 54362\n22814 86096\n31840 70130\n9142 36001\n47076 68650\n26872 58501\n2499 95360\n69057 71414\n72993 92995\n50467 71994\n79093 97781\n11727 35610\n38601 97755\n47899 55896\n7884 54235\n1561 90916\n18854 64155\n2979 7433\n3695 69757\n26593 64727\n12471 35083\n25594 94401\n222 84937\n54219 94811\n36779 86141\n2459 43187\n65031 91916\n8814 32186\n27919 87304\n11122 59164\n37457 97815\n52521 54934\n46784 89453\n65868 77230\n21232 53733\n9382 28932\n44656 66873\n61736 83141\n8430 45424\n59773 80570\n31383 32267\n68635 91213\n52023 67203\n40794 60557\n30913 87396\n29444 45787\n32571 96350\n38761 83898\n28481 66497\n95008 98520\n90989 99296\n13171 73691\n66416 98059\n40710 49928\n50701 59067\n84513 98938\n76046 95397\n35249 97023\n58667 62175\n28761 77777\n29006 40517\n20401 46635\n67739 97275\n97555 99005\n5056 40779\n70679 85625\n38178 95009\n74282 75113\n22836 28220\n4012 4912\n248 3837\n53052 63565\n42683 73935\n21447 33734\n24623 38123\n33310 49478\n13999 80913\n7365 67540\n48912 74474\n10471 35831\n36781 63023\n24344 27917\n43487 61002\n76928 88503\n51701 62958\n6972 72811\n60926 73446\n92892 97888\n89045 96539\n6461 73268\n27986 43979\n83468 97467\n29264 91934\n34217 91555\n18497 51744\n43643 45919\n26682 45649\n55306 89536\n29284 80375\n22572 43038\n47201 78747\n37759 54403\n79696 91552\n19701 37210\n16076 94395\n55142 80491\n45 53309\n308 18665\n9159 83432\n26928 28368\n25474 26173\n34412 93717\n1562 64522\n4247 38889\n46943 71239\n29201 79811\n55598 89560\n20362 64860\n10488 10938\n47342 93467\n37089 62086\n20109 46046\n84233 95345\n54988 99375\n18338 85913\n67517 67805\n35617 39023\n44926 77776\n24255 39684\n33105 63545\n18661 29875\n5704 92584\n67745 80907\n45686 61867\n22448 61243\n39581 85293\n81076 83816\n26363 71092\n22507 91639\n6012 52862\n58167 81828\n1306 6064\n63858 79251\n7152 26350\n33186 43953\n2444 36383\n6289 92674\n15669 61091\n73060 99954\n68448 75119\n5846 67416\n8311 32210\n2897 63131\n31875 71355\n32940 57677\n14777 51253\n43158 77215\n34803 51487\n4647 40707\n29566 82432\n56577 70269\n16475 73666\n38805 68387\n10969 55689\n20080 65977\n41178 56281\n37017 85841\n2950 72368\n55499 90842\n69174 76490\n46602 86504\n50038 75073\n24652 51856\n63889 71302\n10424 44015\n4099 66943\n78242 94504\n15317 48405\n17509 18634\n33972 83141\n43464 88365\n66607 75947\n46277 48849\n63099 86762\n70771 94023\n29102 40139\n92299 95742\n3869 56984\n5370 19255\n26819 88315\n54231 79828\n32280 89940\n47831 77773\n32084 76098\n21092 93558\n74340 98641\n75436 91047\n5829 38910\n53570 70047\n36857 82892\n57574 91219\n2456 49865\n34698 35387\n22573 54305\n5475 58196\n13253 15502\n38270 74501\n6456 32154\n17611 89977\n11668 21660\n77610 80288\n18440 86258\n19817 26246\n78843 83436\n58529 60075\n45947 59761\n76933 90850\n8676 26417\n6303 66741\n11994 46994\n85942 95499\n81641 85392\n53253 99598\n6501 39705\n36035 71591\n78529 86204\n22739 40657\n96512 97945\n56415 89831\n80042 86735\n72614 82748\n2005 97178\n7665 25413\n3237 16791\n27321 45362\n90771 92381\n15182 94190\n7561 87238\n23041 64601\n64600 80576\n82700 87689\n15585 40268\n94062 97372\n4588 51175\n25392 58441\n6976 38473\n35391 59040\n450 49787\n79127 99272\n687 30082\n39064 50702\n32265 80789\n41497 76250\n68595 71139\n12097 59393\n28363 80060\n4032 27659\n27224 59895\n43427 45532\n26537 41001\n84997 95637\n63980 77722\n37096 50309\n51680 71524\n34897 61741\n50759 75267\n44479 88228\n74408 89194\n4758 89323\n24613 78223\n49194 76476\n19305 30169\n67744 80992\n62492 86987\n32842 39991\n1649 81204\n3744 64288\n15381 49512\n22429 74849\n46489 81229\n47417 59017\n23232 45409\n63865 72462\n64585 87282\n34859 60717\n21632 38231\n19506 33919\n32514 36782\n21684 59161\n80917 91146\n34813 38485\n20403 28588\n93711 95787\n29828 79342\n14367 15217\n2010 56039\n74877 89178\n23736 45624\n1572 76730\n27599 37980\n77214 91946\n63319 83231\n45519 49514\n29512 35618\n538 76795\n4874 73553\n56924 60984\n23073 71768\n72668 80272\n29648 88690\n6008 58440\n87326 94905\n22375 78297\n30073 44585\n42037 99583\n25631 51709\n76713 81442\n5757 50811\n9071 42072\n8220 29340\n12108 68422\n65583 88330\n56988 90607\n10462 15126\n57350 89841\n10781 84697\n20281 26632\n21309 84290\n242 12722\n5268 25849\n25133 83682\n21708 48190\n22527 57642\n16429 43827\n14499 52472\n30648 66536\n57226 88218\n33859 46616\n98881 98997\n48520 90268\n30061 80049\n14973 55245\n20365 90361\n13651 70057\n38087 90383\n14425 53399\n52745 89721\n36769 96912\n14533 74589\n14724 40315\n32471 71892\n82803 86584\n22467 51763\n10670 66151\n32089 68435\n11942 64198\n55347 67217\n12248 57304\n44189 46731\n14868 21716\n58699 61205\n15650 77374\n35977 48227\n53411 88643\n43107 70434\n60433 68653\n36653 88934\n19207 93357\n32770 67462\n6332 50489\n12080 48429\n15806 37632\n12914 20387\n45697 75399\n66947 69118\n48956 69333\n3717 27864\n10655 90369\n48374 93830\n9199 95822\n67125 75994\n36148 63269\n60685 82280\n56253 81948\n48058 74973\n23610 55324\n24043 75273\n60324 64511\n52657 79158\n73814 76891\n21359 88523\n2064 73676\n30583 41579\n31741 97348\n12211 80786\n30777 42348\n18404 27230\n37922 89859\n29002 41621\n199 99555\n41466 42596\n91313 98241\n21925 42541\n45645 90973\n36836 59500\n17531 35161\n83152 94543\n512 76538\n22060 54841\n11477 52186\n29143 73027\n9533 31854\n48926 68818\n47271 59856\n2271 46205\n37975 79481\n14665 41442\n71486 81145\n79082 84648\n66963 95434\n76763 84655\n18972 54836\n47677 99366\n20146 81826\n80685 82873\n38907 86137\n12184 69917\n58425 63344\n57864 74867\n4986 36770\n19663 86912\n49646 79968\n36095 40033\n13222 39962\n23185 94901\n29700 57731\n25427 83898\n8570 86486\n6129 61444\n9225 56983\n10448 42611\n53824 71278\n48513 59414\n33355 98934\n72574 74058\n46740 93581\n48776 71295\n3470 53055\n103 8544\n6483 74431\n13611 50926\n10080 49365\n74911 99353\n70607 85958\n59832 75772\n50529 86772\n81048 95158\n28873 59750\n52290 54614\n6490 59489\n26890 54532\n34853 67991\n16919 80330\n42844 46384\n5175 60030\n10486 96097\n64434 68409\n20170 82616\n36522 82368\n21870 99897\n13911 19476\n21801 40326\n48767 87626\n42185 57376\n72521 89570\n64831 74721\n55033 80881\n18568 23841\n55170 57705\n40311 52971\n39435 84771\n57086 82650\n58208 68102\n4813 8553\n55634 97001\n12500 16964\n43881 75240\n32330 86893\n26476 61538\n55962 75929\n40750 67926\n32727 90665\n26217 66127\n5956 26079\n85715 98305\n37197 54652\n58723 96286\n19098 57756\n3351 87114\n81211 97540\n23197 66492\n21722 51999\n21632 48890\n79014 81898\n23261 93796\n63190 91373\n9425 33368\n33399 87848\n18415 41004\n18072 98703\n517 84190\n63041 77611\n94933 97229\n67958 85306\n50007 87789\n1298 45561\n20859 96252\n75519 86105\n85706 90704\n13159 33463\n75890 83476\n2730 12577\n45696 53932\n35716 92037\n51280 69894\n37921 39049\n20433 29919\n1206 42293\n60478 95198\n8725 21887\n25130 38289\n37399 62053\n28335 82993\n61763 62771\n36042 91385\n370 42999\n18194 47079\n14157 46707\n6689 70623\n47547 91160\n76613 88812\n29173 78751\n31592 32383\n8418 52773\n18538 86510\n54763 64244\n27511 74134\n30114 54578\n19649 21645\n24012 66960\n4940 36837\n62190 93993\n58092 65556\n80143 83254\n49137 60124\n16094 74907\n58386 98696\n7705 12544\n19831 20974\n64861 89862\n17475 46713\n31566 46766\n7583 69036\n10129 90667\n17701 30230\n8022 11530\n83213 97328\n53244 68287\n14490 99166\n47822 77481\n61698 91483\n32299 86167\n31118 54194\n72541 77327\n40148 73097\n18102 41678\n36426 98564\n10600 35789\n5413 41756\n22990 65470\n84541 92486\n16616 74433\n10416 17177\n66058 75783\n52896 88506\n21616 78762\n29540 40703\n44647 77784\n21710 71841\n12647 92529\n69588 76881\n67705 82583\n49877 57983\n87317 97367\n85583 99953\n59271 68737\n3063 51874\n14892 44630\n64689 64882\n57860 82638\n79421 91541\n56277 95987\n75970 96428\n7233 71761\n70467 75914\n37172 73819\n61576 85762\n6928 53493\n14248 39353\n9332 77214\n72122 84232\n16049 50462\n39299 70654\n18750 97478\n84831 93295\n27740 79220\n3078 38415\n27537 86757\n42319 80573\n3349 3496\n26646 99723\n35431 60958\n48052 81328\n21489 22694\n12060 74238\n81050 84469\n44760 75822\n62043 85356\n47851 58436\n11000 72162\n60127 80772\n79087 94530\n55047 67177\n49940 55414\n13038 43157\n17001 96427\n41210 41406\n39804 70196\n33392 59866\n25234 31327\n21759 99278\n48648 74243\n16812 83273\n14436 27015\n24078 35893\n9121 98189\n70824 95741\n20543 76018\n57486 92268\n34459 78393\n30093 92741\n8508 61044\n35472 49323\n18581 53854\n26770 81928\n39654 74327\n56882 66607\n24177 80224\n32478 41181\n11723 13337\n1619 44150\n21422 63681\n86014 86150\n31941 68476\n45753 80570\n78267 78879\n4113 37111\n19181 55894\n28793 86878\n17200 33350\n55604 65782\n14308 80203\n12610 97434\n22348 65998\n24812 93770\n7237 39856\n47725 98276\n38126 67778\n243 61082\n9940 65117\n11188 68901\n75847 78761\n16922 49269\n2384 44584\n90296 98823\n33753 54859\n47570 93761\n51043 64918\n32824 46712\n31274 35824\n4324 25465\n18205 87886\n11433 26097\n18394 85581\n2391 54409\n46132 50505\n54935 89079\n64170 83380\n21953 66594\n12951 92726\n44215 87445\n44287 84302\n850 19128\n64815 90183\n12859 28191\n46408 91253\n22058 96747\n10112 11711\n38770 43616\n79890 85736\n26011 53855\n16001 65691\n1948 40506\n29046 54189\n10247 69746\n52259 53096\n14311 71244\n44944 61035\n43299 54010\n9877 90353\n47019 75911\n54507 86088\n33698 61489\n19628 61703\n52175 56516\n28239 44631\n53364 67549\n89 51909\n43975 58815\n70001 79302\n62014 68584\n47612 74976\n2343 15630\n9614 89343\n56381 70505\n10492 74641\n10405 52364\n4985 23427\n14324 80486\n3378 75131\n16587 73530\n9390 96988\n41964 71062\n28218 62044\n6536 22749\n29533 75186\n8226 38602\n25368 43035\n23066 44501\n36419 90168\n39007 60798\n26865 50078\n57490 69605\n20553 76193\n29442 30599\n17369 55967\n76885 94021\n51529 97511\n7831 72453\n62495 70191\n38962 88946\n58256 91895\n39876 89493\n15847 27760\n71585 95803\n42191 73811\n39698 90717\n13107 68910\n42078 91259\n57788 92664\n14330 29740\n5999 93759\n81322 85106\n20166 90469\n59242 59637\n44615 60391\n20919 44383\n62214 80770\n67225 68065\n33739 79415\n17460 85286\n21109 96776\n16094 79712\n45800 65333\n98537 99936\n29656 33248\n1003 39584\n22661 51959\n79856 87972\n18814 24151\n6393 66041\n63791 95996\n12527 84055\n44174 58947\n65 21476\n6930 33893\n30252 67859\n13158 75045\n34489 41593\n6679 36435\n9699 45681\n12884 46720\n28547 65744\n9952 54290\n6385 47821\n36969 43346\n17266 89162\n44342 94758\n74108 77921\n49235 92837\n16709 76211\n36866 77051\n42777 48338\n2873 72710\n57114 68494\n564 98081\n44138 99432\n45239 48371\n84603 95922\n52138 68779\n50673 92695\n32960 70986\n41084 50316\n10377 27702\n41002 53700\n2379 54470\n16519 86376\n32876 63468\n9291 79344\n10263 99203\n30881 88999\n22811 47658\n1894 5027\n33100 41068\n11413 69545\n7621 38524\n71696 78565\n18084 22522\n30133 73609\n80718 86219\n35959 79290\n793 75994\n86505 90705\n15833 68838\n40737 41534\n1020 57492\n63424 75937\n16480 29203\n1047 79267\n4511 64809\n16831 40096\n14200 99606\n13721 32262\n5704 64758\n6193 18092\n54277 77233\n23846 37911\n4139 29368\n62411 71467\n69384 89163\n24771 46494\n65509 93378\n85622 91596\n4724 94084\n36749 94002\n36802 81912\n7683 32933\n12065 52176\n3196 87328\n37334 52298\n17907 29884\n60115 99859\n61207 83282\n20113 76734\n53784 90813\n16586 67960\n36037 45614\n8630 17593\n56928 66699\n39685 70078\n4122 20519\n47357 63279\n12923 21917\n293 38412\n41717 47358\n3754 7138\n5585 93655\n48471 82956\n59771 92632\n3347 61701\n30958 45582\n73951 89085\n79878 82750\n76411 97189\n80111 83290\n12559 72614\n72662 96113\n83032 98727\n45482 69630\n58493 97073\n4122 91089\n8276 51706\n14697 34800\n31083 87296\n6162 83975\n33271 99920\n14424 62451\n20988 92461\n15144 92639\n77734 94915\n45322 47740\n41915 47511\n49975 78098\n24856 41425\n79084 97275\n35681 40042\n29274 38802\n384 78405\n57250 59754\n35087 57877\n293 38323\n68896 81971\n61688 84312\n97916 98556\n33931 55890\n74536 77968\n67913 95804\n20214 68976\n48066 70093\n45376 63745\n69929 96312\n20449 41765\n21809 80941\n12746 66357\n72781 80156\n61752 77844\n39666 70953\n59523 77577\n27856 89164\n46855 72271\n80477 84284\n10315 41773\n27409 53751\n33379 93032\n20382 22468\n56335 62764\n86772 95634\n63139 94953\n35154 58240\n30522 75635\n54090 85915\n19138 47971\n16816 98568\n68118 76467\n12094 61756\n5483 52280\n71252 87514\n6850 37063\n59877 62732\n74215 99600\n7620 40586\n32120 72152\n60871 90169\n2994 3692\n10176 79945\n35500 47201\n60333 97754\n81256 99501\n58873 96047\n705 98602\n3388 42643\n46325 79904\n55075 84093\n39088 95335\n21541 90545\n7395 34853\n52147 89446\n36982 37312\n3488 93790\n39271 55087\n36628 60991\n51228 60286\n59741 83803\n14999 77782\n20264 46179\n18166 21048\n2796 60325\n59733 65383\n45205 83483\n80554 94801\n6490 13177\n2357 64019\n42371 67131\n25035 70829\n22024 66912\n47644 58861\n4877 86867\n19952 62527\n11690 31107\n22696 28322\n3939 69709\n30026 50010\n34954 75152\n55129 95400\n51403 94217\n32254 46446\n66950 69250\n43814 62171\n13236 14963\n14332 62911\n53617 98452\n9049 72127\n25844 28345\n12658 39650\n58240 60690\n42629 61483\n10986 81636\n14237 69316\n3868 99879\n6134 85509\n23409 95216\n18882 23885\n34493 45140\n25956 48091\n39297 99560\n28268 98522\n3015 36079\n6217 98244\n64003 92964\n20410 63006\n36364 86018\n49757 73651\n4554 51098\n37070 65804\n60658 84438\n2023 67602\n28993 42446\n55896 76919\n62177 89222\n27119 78430\n61300 74167\n2448 94588\n34902 42262\n69169 71170\n10221 76266\n13928 17339\n9279 10301\n21220 56190\n25141 31811\n21807 57526\n39677 59073\n2892 9041\n46016 79650\n36023 66746\n28375 95279\n10226 90159\n2991 46426\n61562 73740\n60683 81279\n47160 71280\n29592 34927\n30747 62731\n39963 52886\n36209 73264\n10468 41240\n34959 91342\n27140 41491\n2338 33569\n24900 43075\n14602 86836\n77136 90629\n45629 80879\n64804 76067\n46319 69828\n42213 50224\n14397 27239\n51040 96739\n11615 38940\n53602 63041\n25037 53948\n42338 88344\n47287 70760\n77657 90677\n41848 48077\n6923 49241\n49366 71461\n41455 80265\n18127 42078\n17185 18473\n35064 75167\n28917 97667\n80907 83502\n17038 81355\n10765 49077\n14470 35948\n56923 99524\n53182 83728\n678 69321\n13786 58459\n37351 44852\n11600 91987\n7659 26647\n14535 35625\n9138 67145\n7872 41218\n18402 68682\n10557 79682\n18850 64402\n34294 43849\n23782 67041\n138 54537\n2446 68832\n46682 87516\n35557 44766\n19995 89515\n90 28950\n66127 74541\n88794 97599\n928 99452\n54084 72855\n48815 93057\n48545 57824\n37347 71098\n1006 34484\n97839 98341\n43326 93008\n6866 39788\n47163 80886\n28819 57135\n78550 82568\n24347 72919\n2284 65523\n64610 72361\n40520 40938\n11460 80505\n6042 93135\n12866 88159\n34378 46727\n26007 46694\n15998 97885\n39856 92851\n59244 86778\n72007 83557\n2673 81916\n11265 90334\n20300 45927\n36888 55559\n9488 64503\n9729 60881\n68463 72574\n10634 49628\n90721 93950\n2752 71747\n12789 95370\n9986 14757\n45216 95612\n47444 50368\n12951 86746\n54048 98031\n3703 8740\n34383 83369\n43366 77912\n23776 93934\n20078 48287\n53774 63384\n10670 86053\n36998 84401\n22026 31219\n50931 59729\n34698 97599\n25159 42010\n18731 76393\n68231 87502\n37021 90992\n7181 17221\n39725 69505\n22856 71974\n48747 94126\n18976 94262\n46316 65807\n86281 98386\n28280 56632\n42074 65245\n19420 70729\n5022 79396\n46882 76646\n33963 54266\n18435 36561\n5731 30831\n17436 59683\n47288 48393\n4264 77256\n28023 29999\n40099 87444\n82519 90770\n39690 77246\n30800 72315\n46612 66326\n16965 33348\n6819 23259\n49961 83849\n11963 71801\n27978 49560\n18017 29228\n49192 53755\n3588 45772\n17559 66087\n19593 79984\n2860 90696\n73746 74456\n9529 23456\n8278 20279\n47122 66410\n79281 80765\n77713 92737\n27694 59224\n27565 37598\n10477 61129\n245 90254\n6243 49287\n3682 51513\n6102 27458\n52142 79017\n75994 94063\n6354 52711\n82444 85653\n12477 65917\n52250 99188\n32400 72748\n54947 95293\n54411 97693\n5307 74672\n30987 79146\n27451 66630\n24659 63123\n13411 73643\n22110 92952\n41463 49064\n11108 88905\n83214 91005\n23306 80416\n17399 26209\n39681 93631\n29614 91090\n30864 82449\n22799 85882\n3190 92268\n19508 85325\n48330 65408\n8407 26979\n36783 89416\n2950 63468\n52644 88099\n28726 39341\n75348 80740\n16863 62555\n58295 97430\n35457 78215\n408 6464\n14466 48278\n18616 43061\n5884 11989\n18867 90898\n57442 83337\n11601 67145\n43181 65768\n1879 92979\n28710 47393\n32079 49027\n17286 99780\n8683 96288\n1131 4919\n6457 98500\n52184 56981\n12502 76918\n11993 36774\n27449 40117\n29157 52888\n2322 53290\n58952 70231\n908 67935\n12454 73208\n10306 77664\n20298 93965\n1325 64557\n83959 96698\n61760 74291\n28245 39616\n6444 89119\n93632 93896\n74329 90854\n27373 30828\n591 10925\n47488 54811\n35557 90620\n8556 51488\n898 42935\n19072 91011\n36786 59278\n13311 74072\n20071 36532\n28715 98214\n21258 28598\n13492 58275\n15392 44690\n40272 64021\n8926 97874\n50042 73843\n5928 84200\n48209 59940\n2952 64129\n3041 34998\n57291 70183\n23910 73188\n21676 80177\n47805 96948\n2707 84793\n29884 36581\n14315 27031\n73505 86340\n71585 98101\n25630 47750\n54501 86753\n9378 58680\n50440 93578\n13826 59870\n57147 71037\n12530 74296\n38374 61980\n13864 84613\n4547 27476\n25258 68159\n72577 81661\n19847 87009\n11144 95318\n30824 89824\n33374 83985\n48352 83162\n78468 78829\n88058 91422\n68508 86988\n44667 46516\n9783 38012\n11023 65923\n16676 52617\n13542 34576\n17091 26064\n54434 64712\n22083 50467\n47059 83955\n72335 88802\n57922 64142\n28630 41739\n8400 9308\n2525 36148\n74662 79075\n20 91755\n43777 72916\n65176 96847\n23806 55769\n40998 52132\n47293 55560\n32009 62091\n16544 66462\n4452 10317\n3545 80395\n64608 89087\n11359 85001\n34871 44636\n38172 72202\n31444 57340\n5452 53329\n56180 83131\n34143 82677\n84939 85014\n15408 97983\n11505 91378\n44042 57606\n33526 90084\n52262 99834\n2023 11042\n81912 95465\n50478 62532\n16422 81899\n21235 53665\n53347 77273\n22189 24994\n38203 82264\n44616 82902\n30623 86543\n5073 17363\n28779 91356\n13273 65379\n50711 96715\n69471 89800\n41648 57420\n2474 82287\n14450 99954\n50547 58733\n25622 50648\n55362 97990\n46039 63217\n65948 97904\n52473 90024\n29085 71163\n40057 98769\n26516 60639\n14809 62117\n39474 73536\n10555 52819\n62807 84156\n52096 94129\n9575 95142\n70722 73002\n26501 33655\n56394 98981\n70517 80952\n10679 65615\n88935 99944\n30658 79139\n5525 15115\n52285 83737\n870 82375\n11266 21156\n7892 55011\n30439 72397\n18980 53501\n21769 79831\n88695 91806\n11407 38450\n35900 71736\n9874 71535\n26389 92852\n72537 92801\n22433 59104\n37387 75289\n36843 99125\n17905 90245\n2994 56441\n43034 71622\n3317 97424\n68298 79973\n2872 40566\n56665 89624\n18986 96961\n80421 93987\n5707 58535\n11115 60652\n54365 99774\n50990 53205\n52944 93245\n44920 71402\n12101 71161\n17702 27401\n36793 67029\n18591 26198\n11964 85947\n9590 87930\n54155 81572\n32039 84627\n89147 89365\n628 23874\n22342 64143\n59149 98763\n65846 70634\n7513 15448\n80301 94705\n61022 61301\n12967 31380\n8047 63397\n49070 60488\n964 25322\n21005 91437\n86136 88028\n49609 91485\n14241 95059\n58424 67556\n30775 70356\n9382 58088\n23018 99384\n43878 47346\n41232 59046\n41901 99751\n52131 58276\n14477 16213\n29880 45769\n46168 61968\n8721 60836\n9607 37715\n35252 49489\n2734 91047\n52826 89541\n59336 89349\n534 73822\n15275 37297\n14317 75777\n71018 82708\n41903 82756\n2128 73006\n77137 89029\n71798 90687\n74963 99891\n54720 93224\n25740 81581\n31758 72784\n13469 21825\n55233 64706\n10966 52529\n50187 74708\n76034 78170\n77901 89705\n39272 87217\n72076 76001\n38793 46387\n33504 92948\n4039 49470\n28107 79425\n19038 79933\n38864 43369\n70155 77814\n22182 40511\n34006 77366\n47215 58910\n14896 62090\n58920 95907\n5831 93116\n74317 87200\n45702 87120\n6975 14888\n59718 77267\n16248 71933\n11679 44081\n5762 7203\n33548 88904\n59877 82571\n37055 59393\n8816 22824\n8597 22354\n77160 88654\n5195 31771\n95243 99558\n57762 60526\n38585 83593\n29885 70564\n5011 83569\n38734 90276\n59199 90501\n25750 78932\n22103 83486\n75547 99364\n8319 94714\n19757 53400\n9388 62453\n331 74645\n75811 94818\n6603 88474\n9705 92809\n12626 50783\n66811 99652\n37214 90266\n2533 84928\n55547 69587\n9910 53610\n1724 42435\n34049 68330\n7742 75618\n58405 81536\n29610 52771\n42383 92469\n54135 68960\n61042 95830\n19177 93672\n12004 49457\n64474 65914\n4493 74080\n20699 28730\n6598 64630\n84057 90910\n20353 51725\n76802 99134\n637 56305\n14677 66830\n20511 59675\n31218 75577\n69060 84088\n2834 74637\n52674 55793\n26648 36935\n73852 94135\n7978 36326\n43223 85700\n22564 78282\n29970 98450\n50767 80192\n37186 86720\n56281 62518\n84686 99819\n63838 72049\n2450 88533\n32762 48614\n40900 49049\n37675 70020\n18672 27957\n28045 78017\n34060 75029\n23941 46180\n21036 50897\n66945 70820\n59603 79819\n62220 75888\n86760 93529\n17431 29284\n2235 56937\n82823 92858\n27535 34973\n4949 97130\n3767 84923\n16409 38713\n81393 92087\n41248 47108\n11524 97410\n51950 83878\n49506 94043\n27319 61674\n29232 33664\n6442 58001\n64259 95850\n1827 50322\n22948 72617\n23712 79939\n58984 81201\n11140 97353\n22035 71955\n7515 46120\n18116 32460\n25534 74067\n54145 62269\n27636 74983\n49418 91680\n10071 59586\n30452 51218\n66939 73038\n46781 95300\n161 34223\n11915 45170\n46709 76987\n49302 77461\n5602 38425\n37911 95436\n19022 58763\n14227 43607\n67888 85331\n37566 76481\n33535 82877\n40350 92133\n8293 75850\n4087 12223\n71671 99280\n55422 97443\n15973 70553\n44701 47197\n1313 7990\n73019 77737\n14888 53321\n52127 72412\n16168 83540\n33304 46259\n57743 85734\n74409 95807\n33587 83061\n79964 83698\n31387 45245\n30166 67419\n34324 54347\n475 46754\n35207 45750\n13754 73906\n82163 87342\n2536 67331\n44098 68701\n11822 38985\n7135 24964\n19649 68364\n24210 82530\n55381 96695\n9462 16498\n39580 40377\n58051 72930\n58701 68534\n1239 50492\n52480 64535\n28679 78928\n48360 99284\n11942 23758\n54678 74246\n2641 64377\n82248 82425\n61725 86419\n21779 78542\n36491 43509\n27001 88643\n16992 28989\n79201 88337\n31892 54863\n19828 53756\n922 15407\n45272 78817\n66840 87105\n72922 92226\n9908 16863\n39199 51932\n35315 38939\n26374 50470\n2825 64394\n3002 92589\n41651 86393\n67789 74770\n10558 99493\n37637 72623\n7221 33654\n2357 34174\n29695 32738\n22828 85207\n67021 82367\n28777 53151\n24766 48918\n20539 61212\n15888 70015\n9789 54145\n61242 67422\n21016 26396\n29740 31523\n47060 69663\n16507 78124\n47444 83025\n72779 84478\n14013 67592\n5384 41827\n33828 81835\n8928 74296\n53605 66011\n40312 94672\n47326 78965\n53679 72311\n95238 98305\n49948 98338\n6810 87304\n2996 94864\n14013 67097\n345 53680\n30934 52090\n38560 89049\n31986 54349\n13091 84639\n25766 39548\n21818 40995\n24468 54390\n44682 53929\n60169 98162\n3272 3446\n53662 68198\n53599 64757\n14738 84343\n54757 94588\n30043 96922\n29195 97426\n51267 99673\n13085 49184\n43424 95826\n69183 90374\n12212 44764\n465 70815\n83582 90677\n30638 47117\n4552 41916\n31858 96714\n93029 94560\n5629 71852\n49503 55148\n18993 71983\n21647 45190\n38206 77961\n69724 78308\n5161 12283\n37397 87831\n7098 81784\n24201 34461\n13996 93936\n43531 50629\n13554 62613\n13744 14414\n6292 58916\n16237 78762\n23427 53094\n1251 94584\n43194 50206\n45844 65777\n3816 59817\n42488 66855\n37581 43415\n59512 90563\n50759 53159\n26052 33720\n19968 80464\n1203 78760\n6258 41868\n933 17150\n36847 37763\n25954 79853\n62529 88258\n67129 87571\n38429 76182\n5749 22522\n3563 54571\n52105 56895\n11909 93061\n9870 96296\n23380 78943\n18302 27673\n8678 62782\n51517 52499\n40737 92779\n42196 95609\n5867 80705\n46475 75621\n19161 92652\n70236 90743\n46322 80389\n46738 65485\n38422 42254\n31570 61372\n40217 94441\n15569 88702\n35449 97717\n30269 46779\n24702 67081\n28637 80687\n30378 96772\n5366 32001\n41129 78709\n41987 86510\n44402 74785\n47545 53289\n21026 97568\n52921 75517\n59418 91112\n85958 96414\n26675 84132\n53541 96292\n57151 85181\n44995 75314\n6323 6747\n6481 51806\n43206 47812\n58783 63646\n75134 75910\n36450 70093\n18803 43642\n12126 92901\n6995 79216\n47423 67246\n24948 54447\n17458 77178\n21002 81372\n50668 96933\n34643 50846\n2008 92337\n55461 80615\n51027 95607\n16319 95544\n55794 95490\n63189 78674\n23710 64876\n20953 95755\n72172 85323\n3248 8666\n46423 92713\n49021 56415\n12968 76039\n1677 23081\n20427 27845\n27440 52593\n63282 97944\n54639 73823\n42797 80135\n1862 77326\n37432 42820\n51262 92605\n64213 90360\n84562 99903\n26962 34491\n14300 62994\n17340 99112\n27752 99991\n71976 74184\n26416 44814\n40142 68127\n80051 93987\n95927 96718\n39792 94772\n9914 30954\n85489 89461\n18567 93350\n12780 84154\n2940 67698\n60662 89452\n3106 84539\n16887 18118\n4591 19081\n28690 46946\n20064 85480\n84368 95992\n16436 95566\n4923 6614\n5709 19980\n9475 19568\n50986 55027\n49341 96231\n41401 59415\n19811 37590\n10213 95136\n7871 90447\n2585 72660\n21516 89559\n89552 94350\n54419 75335\n31562 58597\n8156 50172\n31385 92683\n52306 83473\n38381 51518\n61558 87056\n30498 92364\n86631 95767\n6516 88338\n1830 87232\n1258 31495\n31079 96747\n63967 64656\n46305 77314\n3860 5442\n27061 62808\n13262 74361\n45937 87488\n17168 44436\n14009 73201\n26606 93009\n9035 49619\n50109 68117\n35016 45629\n1008 36196\n7324 49034\n45808 94739\n62103 95309\n12333 61835\n23017 40243\n26515 89885\n52169 81507\n19198 53289\n74418 95397\n13933 24210\n13437 32287\n72413 78245\n6433 55543\n16596 61926\n4826 63157\n30629 95557\n25423 29053\n7683 39931\n31304 40259\n12877 26734\n31350 96808\n75773 85170\n36613 53639\n20020 50496\n16870 36730\n39098 87372\n22763 46130\n14998 37136\n44861 59817\n16171 52466\n80841 83244\n9730 79438\n14265 66974\n12349 84756\n27170 35515\n89263 98899\n43721 74197\n36634 48691\n27788 90761\n85422 95177\n35922 38645\n21988 90640\n57051 70946\n26169 32077\n58831 74577\n25914 70512\n30008 43855\n7101 14448\n13227 73894\n27739 45684\n39601 50948\n18697 78482\n34483 70393\n18448 64464\n63938 76658\n34626 73507\n32740 96238\n81085 95770\n39204 51066\n58779 81731\n47979 88631\n53666 70692\n26366 75509\n22287 84282\n8861 52795\n28944 52420\n47408 60281\n11099 84533\n38946 51388\n61939 82626\n22266 93420\n66257 96497\n51121 83881\n9648 27609\n38388 79494\n27958 99686\n68658 88077\n62791 97610\n4598 59281\n29332 65742\n7075 18266\n10196 86398\n13686 33193\n1529 19883\n21885 73181\n68301 94833\n45253 53263\n21444 93667\n63667 91442\n86720 86811\n69802 88270\n85820 87869\n21093 33987\n4523 51258\n21885 94983\n9994 52615\n13297 89161\n3644 37020\n16117 99494\n12613 56135\n55937 72911\n65283 77396\n8337 83039\n48945 82932\n50002 70627\n54331 97764\n33976 94656\n34308 77146\n11699 71534\n38295 57429\n48088 81985\n30910 56970\n27764 76645\n74811 88156\n73616 96423\n15914 42615\n8291 28138\n52342 70485\n14777 23903\n27053 76109\n6232 81909\n36111 97532\n77739 97434\n28728 80030\n11374 30088\n34773 80989\n72429 73666\n5179 43357\n13315 68335\n4771 21359\n4234 18590\n56580 77072\n10930 47738\n34086 76609\n13577 61521\n72557 90198\n41244 76543\n6251 32272\n6562 40983\n63622 80932\n28907 34272\n24691 83999\n39413 59965\n8484 26974\n71531 79623\n60796 86334\n1639 60217\n5815 84212\n16256 42801\n11090 98266\n57193 69511\n1524 58478\n25398 65430\n47646 77046\n54711 56166\n53234 99489\n36559 39868\n25231 81534\n50741 51598\n31117 93209\n3011 22508\n8891 25207\n2724 38705\n62202 78289\n25241 99172\n43479 61089\n1901 67424\n28791 74328\n30644 48594\n34908 35207\n53591 64630\n15550 56515\n1914 78250\n74555 92205\n17185 65101\n18947 68165\n21239 41925\n22564 81494\n40429 71014\n5407 71612\n46251 87088\n1831 54439\n65324 86726\n40806 94235\n33020 69315\n35987 59025\n7381 70893\n16167 65854\n70365 75512\n3992 54477\n46975 60382\n51705 79136\n43501 48423\n29923 92454\n44840 96844\n35888 54523\n51273 75812\n33096 63198\n36172 64118\n59130 72319\n1274 70866\n57443 79365\n41747 46142\n74787 78267\n16405 19947\n256 63285\n59997 84620\n29044 75674\n12486 83267\n16146 16475\n59608 84341\n6744 59909\n8270 34028\n5500 25652\n41909 49710\n14796 83950\n18333 72795\n2884 87503\n24178 58707\n50170 54798\n57141 60054\n25572 60097\n17563 98107\n56514 72888\n35552 44971\n35766 63196\n14767 29101\n8866 43072\n18413 82196\n1674 51294\n54445 87024\n83935 94451\n40754 71180\n34889 76194\n10897 56478\n28197 96768\n306 1001\n61663 75713\n39266 79089\n25840 27722\n60286 70466\n65256 97713\n52151 96381\n58620 80832\n415 57865\n20985 27462\n24176 85970\n48115 77134\n17452 86585\n68557 97698\n39285 61492\n72200 87418\n51286 53774\n239 98698\n56383 65026\n75453 82196\n32572 82760\n35388 37410\n29532 67702\n71978 74825\n89597 93672\n56653 73875\n23340 33816\n36859 45908\n7819 64555\n6358 89524\n9020 27089\n20892 32647\n69333 88555\n45496 79676\n39540 96959\n67538 75674\n829 16209\n13807 24353\n31316 52298\n1053 13930\n68054 90327\n26629 67527\n5611 10685\n35293 78441\n16202 21601\n11100 89088\n51123 98024\n4789 96170\n11890 20194\n16588 56929\n63032 84507\n1484 98117\n84296 94091\n54727 67696\n1656 30785\n29346 50588\n4270 56721\n13600 92668\n77195 84927\n84054 97932\n34614 42708\n29087 72295\n11452 46290\n27838 94882\n36622 40911\n37085 67642\n22578 76401\n35257 57543\n45685 64963\n2098 88609\n15328 17784\n17046 52005\n27123 45053\n78420 97410\n31728 81014\n40225 80742\n15348 19046\n60471 91841\n38353 64306\n12240 41370\n61307 77014\n21726 96461\n11238 92588\n58162 82256\n50942 69645\n60482 73418\n992 55002\n27704 96819\n48186 95169\n42331 81392\n18591 24992\n51403 88108\n5016 42344\n45055 55807\n17677 56215\n32850 90957\n62274 98933\n5800 70638\n7387 82580\n19943 57296\n9328 38780\n78045 95744\n86432 95789\n42628 96063\n31367 46921\n21657 65016\n21118 70842\n33617 89654\n35756 53592\n7472 26469\n26666 68582\n18313 75045\n77769 78925\n17091 69315\n22147 84000\n48672 82319\n6722 62349\n22707 40218\n19001 89682\n53715 63667\n63339 72363\n26417 34983\n52748 69476\n78699 87815\n5691 83690\n64632 84827\n92515 92691\n46280 60441\n2522 68135\n73684 93386\n12702 16384\n51997 97821\n21280 48647\n24915 49673\n70664 82783\n88620 94310\n38200 96166\n26652 30958\n5754 40599\n21164 71774\n47233 49874\n57375 97283\n14025 60118\n32242 44523\n66428 95017\n50564 64403\n8973 32727\n4425 40063\n85099 90604\n23151 78558\n4929 83493\n78493 85309\n8813 51099\n27567 40094\n8159 89987\n26405 60260\n78695 90305\n27839 41089\n78995 79250\n10010 85814\n14809 73274\n50011 86971\n40395 77499\n41314 46876\n27763 56067\n44421 78116\n20508 95423\n41945 56042\n15340 35040\n55408 94711\n10716 63486\n33131 78474\n40151 98543\n65409 90176\n73990 87673\n39967 78781\n44388 93941\n25014 51993\n12125 14514\n45540 65862\n8765 28684\n139 47648\n81837 97346\n519 13023\n26346 87031\n33633 41848\n29205 54145\n23713 56741\n39142 68912\n68871 81278\n29273 51161\n52449 62568\n16612 31947\n63283 74807\n22183 85153\n59174 95511\n11587 36990\n11563 92652\n39188 97024\n11171 33382\n65255 99522\n45336 91751\n20453 65908\n17857 96706\n18417 30446\n27826 52067\n56987 80465\n93164 96277\n18844 99139\n44118 58544\n31515 51009\n23458 80115\n5342 93757\n87961 98955\n17163 79533\n74569 80926\n11927 98280\n16215 59537\n41386 81508\n38047 95511\n39242 59336\n88892 97100\n27908 85765\n25333 50160\n34309 83726\n28244 80718\n6974 80160\n2984 19220\n34033 80666\n6768 56488\n53063 57666\n77093 87692\n51491 59276\n10514 44862\n7324 95247\n55584 56807\n80892 95846\n1300 33674\n83890 88860\n57281 95361\n86497 86555\n29432 45221\n56341 83994\n20089 59487\n27787 83163\n39303 67574\n55341 81103\n53387 80515\n77245 80912\n26849 36921\n22057 40945\n53908 79114\n28960 79319\n7287 13336\n32997 96861\n14194 81083\n36137 49639\n61595 93225\n19079 26708\n76806 84781\n12986 77449\n46913 65578\n17397 20295\n11855 99878\n11190 16550\n20952 35562\n25709 97163\n76420 91521\n3203 57986\n36680 88225\n34278 52688\n51075 88012\n33519 70074\n12858 30929\n63387 84006\n47289 78581\n3797 89780\n32896 93816\n2363 39233\n42472 47264\n51098 74321\n1344 51366\n14205 21439\n17690 89536\n2965 23905\n46436 50401\n27399 34749\n32713 40892\n27958 85818\n3953 60001\n25252 79707\n46099 99625\n30761 61191\n91094 98528\n38520 44822\n48726 77397\n59490 75409\n12005 47642\n62380 92910\n26493 83230\n2210 81037\n42071 79509\n1723 78835\n40148 80711\n46563 73114\n48339 82818\n13103 31092\n10610 71125\n34495 71113\n61258 98888\n40098 77775\n20059 91009\n24853 51452\n51548 69579\n65557 88769\n47464 71420\n28859 66495\n45429 80424\n57323 93319\n30029 77302\n31657 45786\n7332 80339\n24310 61982\n64491 84654\n61975 91457\n1380 36611\n2848 80787\n402 46716\n11922 81804\n29644 49965\n16596 74008\n75568 77381\n34975 84632\n46773 84527\n14650 76168\n50408 52290\n34853 48522\n11905 77417\n20657 62009\n43833 54203\n22753 39125\n29553 91686\n673 57422\n11151 40911\n24898 36850\n16390 76782\n22182 50333\n135 92447\n31538 41935\n65461 91664\n36029 68078\n17392 58811\n25387 40532\n33524 44555\n39577 78508\n62721 71275\n14169 15479\n15765 33740\n35531 82191\n45948 74316\n21533 67932\n42150 65823\n78732 94183\n32437 47039\n21902 88972\n18245 28642\n45395 81750\n14008 46558\n9816 97376\n22698 34520\n11700 64734\n73386 95904\n78576 89889\n59794 88623\n23599 98991\n14972 51485\n11077 67520\n39204 57450\n25926 61012\n11862 85667\n18040 44958\n62650 88473\n60435 63684\n26668 32152\n21836 73611\n54535 90547\n16576 75628\n39642 96011\n22203 84363\n23236 94854\n31677 42428\n10164 26737\n3013 74557\n10811 43217\n18284 38337\n19213 23399\n14860 73200\n49703 69206\n4397 62226\n59484 94523\n75800 93557\n259 72405\n2986 56340\n52601 61303\n30148 77935\n18043 37647\n82635 96744\n44370 83148\n39545 82257\n46974 83673\n37297 63630\n36361 61296\n30408 75720\n39571 68116\n18675 23796\n25093 73908\n67289 93014\n29401 55420\n58039 78384\n27926 80842\n41401 87657\n48352 58088\n17838 56559\n39135 58458\n72110 94776\n57806 83670\n5426 87714\n11486 13603\n3384 26324\n50604 87064\n39356 82388\n2939 55809\n32095 62974\n60514 69678\n13125 92272\n13482 75664\n39686 44165\n66299 80483\n64162 86019\n11114 38267\n36495 86830\n19918 55854\n99187 99739\n65844 88596\n66430 90518\n4359 5838\n26155 42832\n48804 65213\n7513 72582\n1350 59513\n32427 58101\n20186 26823\n35906 56009\n47919 52606\n65921 86818\n9078 18219\n29622 79024\n36213 99976\n20387 55209\n71903 92368\n69424 79375\n50787 97629\n37197 63164\n72395 93128\n34621 35089\n60456 93580\n31753 66324\n75719 82687\n56772 65282\n22023 53864\n83642 98476\n4736 75711\n59243 97370\n503 60258\n21930 39469\n39023 91812\n12023 32684\n32458 42191\n10739 57877\n8086 9644\n508 60872\n18447 72358\n3392 24011\n62629 87495\n5467 81667\n486 33173\n7928 41285\n1297 68081\n33640 68061\n20647 97971\n30056 58952\n15198 44236\n22714 48707\n23675 27801\n30003 60701\n32743 92411\n38138 90709\n35212 80055\n30922 45242\n1697 29792\n30841 82062\n39550 52828\n36313 38283\n24569 77175\n24246 52775\n50068 59464\n52131 70170\n66168 71971\n43458 48774\n29804 53460\n6098 87838\n58385 84025\n3220 45457\n9360 38031\n27714 67050\n2335 46299\n95695 96205\n3440 20516\n62028 85101\n46375 81476\n40265 69350\n75757 80455\n60662 72223\n82241 99037\n56701 59976\n74888 87736\n6935 40938\n54736 60685\n225 73957\n37321 99229\n48676 71855\n43896 49077\n81752 93241\n38734 59690\n4791 14417\n78262 90799\n50230 70578\n29939 89048\n21706 26067\n16551 33552\n44352 98516\n46970 84879\n26233 76825\n63935 98382\n28152 64859\n34860 86438\n25918 80188\n23279 34029\n87620 89912\n39316 81331\n13239 60014\n20949 79583\n32548 40077\n83694 93996\n25292 43875\n73803 82813\n40930 73543\n29836 52309\n17945 79353\n20746 79725\n43712 88027\n1885 98399\n154 6093\n3064 31797\n41950 86508\n11644 14650\n77366 99180\n71498 96112\n37907 69993\n25410 41316\n7427 8454\n46697 87206\n147 4891\n33628 64432\n2976 13769\n87332 91071\n2630 5613\n59091 91654\n16239 89392\n57901 91287\n15824 48720\n25948 65012\n323 6497\n19756 41507\n45148 48090\n82273 86740\n53075 55195\n13442 37027\n7057 9233\n50747 96946\n15676 84067\n16019 76441\n49449 87773\n43325 98100\n23693 38247\n92295 92855\n32660 35503\n7690 61970\n43453 98241\n44649 97656\n95395 99910\n6173 31249\n59433 82564\n25660 96604\n66882 68111\n22865 37453\n82071 91114\n20341 52841\n58580 85885\n5407 30268\n70813 96096\n1142 59414\n46618 77271\n8372 69814\n17685 21507\n23278 49434\n60248 66589\n76919 84765\n40556 85832\n76558 84569\n30237 39137\n12545 18518\n65332 68559\n25864 46220\n71216 88019\n22566 65222\n49881 58317\n53442 57076\n55289 87979\n5308 81449\n8113 99940\n54654 67028\n8591 42023\n55393 84950\n80398 90080\n2498 76538\n50039 61927\n45068 80408\n49097 65342\n532 44856\n20339 45790\n14956 70615\n13606 98124\n27414 52306\n21581 56872\n30940 41214\n20483 26467\n82419 88316\n79109 93392\n60789 91432\n30001 98883\n52973 67754\n17193 43371\n13235 15430\n20858 82495\n51416 72362\n2123 74456\n78715 99382\n10241 95220\n25185 48700\n28819 58381\n22505 69005\n28213 71668\n51178 66069\n13568 90677\n6640 41965\n5118 61773\n3696 18859\n9289 44119\n59642 85875\n3352 7519\n12916 58312\n51004 81761\n34238 58211\n48334 79965\n22378 79010\n60666 63760\n69025 87774\n23175 35152\n35055 59420\n62028 93630\n14345 56814\n10146 48347\n10308 49246\n51178 81988\n6670 42533\n7292 35275\n41097 46938\n25335 75498\n42263 82420\n40534 53181\n54353 76992\n58541 67459\n44714 52861\n7885 31307\n3875 80489\n19050 95812\n22010 37769\n740 43605\n52904 68547\n72998 84497\n31603 69931\n18443 83425\n56840 88207\n66535 97860\n20726 90934\n20962 57728\n84468 89067\n78954 83423\n6049 46145\n68145 95219\n21282 27497\n31249 99859\n62917 63012\n18188 25925\n34626 73906\n12057 21529\n67216 97281\n21800 82791\n65614 75828\n28306 36575\n5559 82815\n71098 89627\n39454 58981\n9546 46922\n41407 75489\n8494 17610\n15755 78750\n66147 92364\n24631 30479\n67977 91986\n57864 97356\n22164 48376\n18275 31092\n36587 83114\n26637 46022\n68704 83772\n65609 84127\n24558 88277\n35330 74215\n30741 64130\n68418 70606\n30972 35952\n39172 93356\n57984 68565\n8617 67954\n80532 97635\n67248 73439\n41696 79922\n52338 52869\n1964 88382\n48102 99206\n29724 69469\n31649 47857\n45430 48952\n48571 61744\n49554 94645\n1277 17897\n4478 15028\n39594 76532\n18623 85984\n3210 97005\n7582 89229\n33218 87321\n43581 84194\n94084 96481\n14535 43455\n54333 64049\n9617 60382\n39328 93459\n68752 97147\n49847 96927\n33615 73936\n30181 82758\n11408 55072\n35144 64098\n10022 15448\n66487 83983\n83434 87979\n43631 63174\n36823 99191\n720 60661\n23674 97069\n73208 99588\n59036 97458\n69359 74151\n40656 52796\n54823 61269\n29301 71106\n2394 15380\n7517 65648\n13727 38124\n38412 61796\n33155 97721\n49414 93200\n2887 66842\n36518 92578\n10127 95421\n74154 81596\n9192 11062\n33295 54066\n83201 94732\n31043 79906\n5511 12100\n56540 77172\n467 51318\n48006 85675\n7718 17264\n9675 77432\n19692 64625\n60644 89412\n15391 94847\n8123 59839\n67661 84038\n92177 96407\n69776 80548\n22003 76268\n61022 77737\n25757 31896\n48014 55714\n47926 50138\n5034 33439\n40645 85560\n78407 94660\n26839 84837\n25022 69284\n53786 69906\n8258 35721\n30558 73132\n36424 74883\n50370 88957\n3979 90606\n12182 50402\n45961 93882\n16394 17627\n28028 42160\n34960 43704\n30569 41661\n5585 32459\n59969 86942\n16208 95629\n16389 90668\n799 52213\n1202 9618\n79520 98467\n31993 92327\n35651 58766\n18247 72784\n10644 46371\n69897 78084\n26970 89724\n924 24355\n38132 60596\n43232 46984\n29906 44159\n44107 46440\n7188 88382\n80594 99622\n4785 31487\n19659 99441\n48348 55359\n4629 15420\n18614 32962\n54686 81559\n54488 94244\n7995 23752\n3659 65748\n25849 81926\n74560 78550\n3554 73106\n54814 96919\n11333 48858\n2389 94204\n22287 90995\n213 2749\n8060 14565\n71890 77642\n26329 94676\n53501 59296\n17770 92872\n79577 89761\n52584 75285\n72436 88393\n58246 73384\n8395 80106\n59670 90267\n36096 77160\n65154 68081\n64939 87435\n8033 97139\n18164 68714\n19782 47598\n22033 71659\n40591 81163\n27648 32418\n82993 98418\n31407 45167\n84711 92338\n50044 65546\n22011 25187\n29851 86186\n66710 69575\n3216 10017\n12906 87347\n13605 74693\n44232 59925\n69534 96405\n16286 62020\n34277 81906\n53606 89783\n49901 71244\n30011 82282\n17689 70578\n8638 58228\n53364 90685\n1757 96799\n48366 84309\n34124 61923\n9890 88739\n31334 51399\n15781 45006\n18549 90629\n53937 68922\n13464 73770\n6034 19287\n35778 94052\n5393 50211\n61686 99999\n13757 79238\n87481 87953\n169 96150\n24222 52914\n17473 57251\n4896 45716\n38538 74264\n62066 79523\n909 17932\n15923 27792\n31287 64794\n46704 49641\n1069 63039\n34535 85456\n50128 83181\n16596 21457\n57962 86988\n12309 58462\n24294 32365\n6147 58894\n29113 97087\n44498 75393\n19515 37200\n1259 78150\n76000 86260\n15555 47987\n25434 66695\n19802 45888\n7838 73450\n6185 80504\n47860 58031\n82876 97160\n40092 86507\n34624 81522\n78450 84826\n31248 78403\n24427 56301\n49112 95883\n77081 86559\n25265 73180\n20404 54602\n25944 47677\n40412 98852\n75334 90366\n10046 92181\n24188 97623\n32632 88711\n86208 99776\n2284 76642\n13484 14705\n13638 71173\n60314 82755\n6560 10666\n59569 91693\n40200 93771\n6648 94801\n1714 42020\n93031 99447\n49091 79599\n35278 41253\n56895 62850\n68264 70759\n33789 87150\n52611 73752\n65969 79583\n14455 46876\n34313 47048\n31901 72210\n36596 97804\n27669 92582\n79928 82630\n40372 79408\n70997 75756\n71692 80954\n52124 82380\n48974 80000\n70603 80791\n11338 83222\n15152 78038\n17771 53841\n68094 88617\n42195 56944\n6528 31485\n17632 59020\n43782 61792\n31929 63389\n66302 74476\n21186 26425\n47625 86906\n79182 85952\n2456 99277\n26413 51409\n45764 91372\n5847 42992\n1794 78937\n75182 93941\n39871 65640\n33120 69768\n59916 72591\n23591 57411\n15289 45614\n72047 73382\n46710 84730\n33710 42150\n8159 24847\n18767 52152\n15177 66647\n85396 90793\n5567 76718\n51449 65244\n46443 98861\n64750 97841\n16255 98825\n586 88955\n3460 92172\n33081 72161\n33550 35285\n29858 64548\n845 81924\n67066 99110\n5825 98687\n2224 23670\n31467 89925\n29588 65261\n11519 34355\n2183 45929\n52023 86853\n27584 51035\n41936 70653\n13428 75235\n8376 33321\n39977 71289\n17818 73767\n22644 92536\n46902 61993\n3516 7570\n24120 57389\n28143 88530\n70104 73775\n61465 65815\n75143 92418\n21511 77168\n65921 89068\n32790 80374\n29846 36187\n5012 21968\n53191 92373\n1972 41388\n65348 74514\n21560 54887\n42930 48864\n1973 35592\n22341 98796\n15676 85941\n5558 53193\n12133 23362\n869 66469\n44518 71559\n47536 74617\n24365 68534\n13942 31504\n69008 91569\n26128 46717\n41579 67151\n20875 78819\n58632 85067\n71512 98503\n8581 79573\n58503 67523\n1269 73878\n57345 68985\n10733 86128\n43489 74287\n71939 97574\n69016 77082\n21851 75393\n64324 64740\n47992 92338\n20839 73939\n57197 69811\n10560 62660\n20674 29909\n8990 76747\n16559 29462\n23340 59051\n25888 30281\n49400 70232\n70630 77652\n26770 61985\n14051 97212\n6439 96070\n14444 77883\n66975 84798\n33107 95566\n10982 63820\n2442 8204\n87443 97729\n79313 99704\n59931 67590\n88614 96262\n23432 69550\n9493 62597\n22770 84563\n37723 67150\n50487 58788\n9092 56418\n80804 81279\n33665 54905\n43991 85289\n33276 62873\n19482 92850\n536 48400\n11142 11544\n16168 28469\n25358 39391\n66053 87957\n13262 49776\n14062 58385\n61596 88170\n35751 96629\n94862 95206\n5292 61814\n18239 22547\n29246 78516\n2488 12037\n6278 16824\n49796 85445\n48521 61562\n50677 78897\n33582 43714\n22529 80435\n230 24304\n12162 12511\n698 18897\n20972 23942\n91910 96193\n50549 87897\n52268 74682\n24897 56469\n45798 67001\n75199 81273\n8411 80048\n21836 34095\n5620 61364\n4282 88289\n31747 73946\n22411 88363\n81487 87986\n61597 99420\n90645 92387\n43254 58610\n6835 79858\n67056 69465\n26535 66561\n10116 85723\n44060 48091\n1300 92397\n45812 63932\n67550 85356\n23252 40830\n37938 40596\n32036 86104\n54206 95269\n21099 21739\n51920 63946\n3190 86069\n75799 85888\n5369 9077\n71855 90484\n24234 45094\n37366 52071\n32321 62302\n67269 69429\n28756 37499\n30541 68877\n26927 48682\n16439 67989\n57340 84380\n34268 76721\n14594 93836\n25411 38213\n3154 35556\n40585 77030\n72914 84167\n17549 61742\n40033 73983\n14603 27092\n94432 99589\n59609 94659\n36610 61331\n14950 55691\n27438 35567\n15972 89537\n2441 29268\n59390 86471\n36731 46847\n13792 89791\n20690 21571\n26658 62459\n36308 76808\n62021 71767\n27640 71730\n8711 54934\n34530 58473\n67151 91957\n82084 83810\n40275 87874\n49749 75012\n40699 81729\n31547 41106\n48917 79119\n24998 67237\n78667 78870\n35263 71396\n18507 78631\n5448 55289\n31586 74009\n30811 36042\n19900 60655\n21942 54530\n48922 59004\n25329 61965\n50019 76878\n5944 25589\n32859 83963\n15788 70733\n33850 59211\n84626 88053\n59816 74984\n5549 96024\n21220 87010\n645 25034\n9882 94910\n68027 86490\n8064 97136\n75561 87375\n36853 93679\n9381 22666\n9841 49157\n46136 67036\n11983 53132\n21911 58030\n43877 92044\n21489 81173\n5228 96157\n3859 60959\n30448 56407\n26806 93656\n3102 31471\n53233 87183\n20155 96995\n47159 75126\n34297 46049\n75507 92819\n83038 83462\n108 32610\n75582 88749\n37750 71575\n42523 95549\n8866 14698\n23969 65133\n49427 93507\n8292 99512\n23239 35203\n92201 96355\n64118 82327\n55984 73239\n22876 51673\n67621 93249\n65970 75881\n33730 86864\n37044 54334\n77145 84281\n54121 93834\n15444 80732\n59728 83070\n18984 55021\n5475 70480\n18423 76760\n35088 71420\n54209 60177\n42654 91071\n5245 89459\n56068 87807\n11261 65108\n3605 20318\n30847 61737\n33821 66192\n58366 81184\n10697 97460\n3843 29848\n24427 46088\n11342 26606\n1364 11233\n291 14348\n30144 50333\n48881 70009\n22038 73325\n37053 75398\n3132 60939\n12598 24388\n9353 13307\n60475 85752\n47262 84151\n1999 2596\n50767 89116\n11876 96374\n4907 31055\n22742 83172\n4701 29520\n361 35328\n1262 86277\n5223 40736\n31319 97940\n87383 91162\n46071 92576\n34784 77469\n52768 85239\n12617 75757\n1725 29269\n77176 99070\n15785 16270\n38403 83297\n3651 96903\n24671 28432\n18250 33044\n87539 92116\n63044 98918\n7967 67005\n39964 99274\n24829 90783\n67803 97963\n25479 42493\n39786 74367\n1780 76830\n10031 37081\n40849 59196\n53193 87157\n74845 81497\n143 57828\n4804 47455\n55971 61084\n228 54716\n63008 95913\n23526 45087\n24465 75711\n26082 27899\n76536 83465\n64553 98330\n2542 35801\n2631 95988\n55170 69921\n11188 90943\n21138 95994\n42161 72606\n57910 72968\n37444 70731\n9558 34911\n29784 63672\n45833 58950\n53553 69960\n67065 70126\n26406 27146\n14907 36809\n87582 94640\n29644 72573\n28346 95325\n50940 73097\n36107 53924\n8494 68301\n1594 15034\n35191 96799\n9286 46041\n13506 31699\n14575 67782\n9393 98719\n35782 47285\n81651 90581\n44337 66992\n2915 69258\n12534 60867\n8267 68125\n56572 60704\n13728 69886\n2015 32125\n425 51075\n50420 89455\n42655 64619\n52199 71336\n45755 70540\n33995 47043\n67070 99565\n72425 93905\n58707 65898\n3138 22011\n15867 66948\n54641 86775\n15745 93911\n38460 49407\n9576 71045\n65577 90543\n74551 97319\n1883 7367\n53985 99348\n20433 60162\n39953 65941\n47358 97627\n11585 72602\n97590 98558\n55372 80510\n42824 93842\n24613 82757\n13323 76908\n60614 74702\n6768 13504\n11953 19441\n32522 92310\n19715 48570\n3358 79478\n42227 86061\n28124 67873\n59446 76924\n68305 94773\n53738 86186\n40056 77170\n59095 85317\n3544 98973\n58363 89671\n35234 49789\n38114 99613\n7689 95139\n17001 47286\n14604 53871\n6486 91239\n23107 83867\n24638 68144\n353 50306\n24183 88180\n7811 79464\n17251 92653\n29800 84203\n48673 82903\n76624 82366\n61081 87384\n2252 42157\n32386 77196\n45277 88770\n28216 38789\n4487 61375\n41730 68035\n72438 72467\n24414 75076\n3638 56274\n25623 83074\n1103 33649\n6354 87051\n20933 24871\n57497 83961\n21260 45937\n53805 59360\n61701 97837\n56627 85870\n22596 87158\n66189 72799\n47862 78635\n6484 54124\n18643 74178\n11677 40889\n10634 63471\n27127 41198\n57421 99904\n33800 96001\n2615 4394\n7408 77096\n28016 45537\n34965 41849\n40173 81142\n30200 63799\n64426 73592\n1847 93707\n65968 95617\n30904 71844\n49357 93147\n79333 85577\n25519 82001\n31120 90286\n74693 88843\n53095 82641\n51169 63098\n27415 79238\n17600 66073\n27182 93473\n21648 52776\n59404 81133\n10138 70624\n17661 38902\n1731 8442\n7432 35120\n23557 83874\n33273 52266\n91692 95621\n49450 54259\n42423 61585\n31033 40767\n14033 88677\n12703 79621\n12305 64200\n61718 72567\n12737 24294\n22453 35640\n74222 97435\n37774 56357\n26915 60923\n22261 34202\n68326 89758\n65640 97937\n9532 42711\n86506 98808\n22099 28876\n5627 37611\n53583 79168\n81168 93143\n18000 27130\n30099 69707\n92700 97430\n88528 94819\n59936 64642\n3240 40307\n16056 46707\n22247 32854\n58818 85773\n56148 77207\n42419 70501\n91149 91690\n46127 90348\n6950 36633\n29226 79492\n9127 27683\n44783 53076\n6994 95879\n5758 53448\n4998 10335\n21958 48236\n38199 94619\n73491 80271\n3435 39577\n7496 74863\n2020 95043\n39191 44922\n76508 96961\n12265 52138\n3304 6885\n85240 90761\n6135 92975\n267 52297\n19994 83287\n10823 98311\n27396 30637\n32574 92920\n33743 53208\n22506 86522\n23260 37285\n9949 31455\n68122 87990\n16939 29254\n72580 97463\n45702 65604\n13738 20967\n6364 30842\n12498 90479\n28911 47606\n3869 43931\n75386 75716\n17594 71451\n56015 63155\n58404 83556\n10407 22066\n9815 84190\n1608 40632\n18983 67306\n11148 32295\n52041 89442\n76094 81295\n49424 72481\n60596 80282\n4093 98794\n67014 96310\n26954 66723\n12542 83246\n34707 41310\n44878 91580\n3108 87757\n2941 98325\n42716 84811\n15397 83071\n46216 48019\n21923 27779\n16334 35079\n3235 67231\n13076 51026\n32993 70983\n14470 48456\n37118 54946\n5566 93843\n47647 91164\n40909 91221\n33112 80062\n80111 85753\n25256 40362\n19938 54775\n36493 75594\n53749 78452\n22305 92154\n36712 45577\n12119 44825\n70130 84813\n18349 36890\n19274 49853\n10675 53301\n38625 53115\n21396 99152\n26582 71711\n77688 92824\n13760 47511\n33153 49033\n7275 36410\n24790 53968\n38237 90450\n15736 79142\n7678 15462\n43324 65982\n18025 93702\n55019 82614\n41580 83800\n17713 77223\n74726 98142\n8145 60952\n32492 53959\n17019 21576\n74228 99229\n59360 78317\n8416 52521\n33223 77963\n15326 69619\n64985 83129\n37863 94926\n25105 41958\n35014 90210\n43747 86427\n3217 63439\n21393 45349\n52189 62547\n26495 50813\n52462 57428\n4064 13569\n70730 75368\n55527 68653\n46362 67630\n54438 78780\n15145 31577\n52024 84100\n25958 86912\n22332 76185\n62287 75335\n12881 75707\n18275 64155\n30948 58072\n19068 82879\n56226 76691\n55596 84742\n85536 99069\n50968 74433\n48501 98081\n65332 72871\n855 2539\n2190 85215\n40855 93828\n89099 97259\n27872 82645\n29235 64931\n46391 81911\n46178 62492\n63893 88719\n4249 94279\n4417 31215\n2387 60328\n55549 80579\n54027 82423\n60722 66670\n64387 92921\n41501 67493\n425 66922\n17426 35901\n74783 91643\n39058 98674\n41331 96183\n57306 85707\n77570 79809\n11678 99611\n4613 49512\n26018 53585\n96796 99593\n27054 82794\n17497 22363\n232 32308\n7096 58498\n24566 28555\n66276 77289\n13738 20311\n22778 57297\n55306 74779\n46919 86140\n51608 65076\n50267 73237\n19606 50471\n71383 86382\n21729 28255\n5203 25123\n8952 55106\n14514 37521\n17954 25776\n29319 56666\n28683 73730\n15798 62305\n21167 74897\n63175 80431\n17180 43288\n33666 79551\n42353 75368\n17495 52090\n68022 87495\n53949 55603\n32130 82813\n36690 46651\n10148 58279\n15630 56389\n32776 99145\n11823 82804\n38775 38784\n19540 81112\n12533 84776\n42522 67222\n56849 66041\n43462 91004\n18757 29936\n66750 96813\n69430 76827\n8547 67841\n67469 78954\n92093 95242\n31689 55988\n56734 68036\n64624 93083\n64747 75013\n11458 15921\n14581 63457\n42613 82948\n26536 96185\n30031 38504\n33167 36981\n55218 73258\n4843 64585\n7219 16428\n29385 68651\n13973 51479\n945 48311\n36289 65457\n60645 74621\n51021 85332\n35577 45330\n8143 30836\n12833 95194\n54498 62290\n10433 77802\n16084 30912\n40659 52312\n1985 36368\n15445 20298\n46904 51284\n49041 97466\n22310 67217\n20122 44663\n1059 70282\n30810 50372\n1938 28969\n7080 41475\n31513 37057\n34290 35369\n9702 37038\n21750 95618\n63990 81306\n24271 90656\n11770 29790\n750 83347\n49374 57114\n24205 30392\n3320 48312\n26160 67615\n42681 52974\n2224 53771\n35889 41049\n7028 54075\n17387 48478\n72635 84265\n53169 67933\n54653 61699\n57048 73346\n49746 93021\n2443 85570\n57230 99611\n44430 69599\n46407 60789\n14696 19115\n11780 26005\n25024 25975\n80699 99723\n10990 98672\n30061 89962\n38064 94717\n16023 38604\n31188 63776\n23187 60165\n59131 64241\n64125 94364\n66794 98888\n41479 92533\n28375 83949\n34790 94914\n6306 25171\n1475 10551\n23764 27558\n13621 20900\n12604 80017\n37069 94237\n28248 95693\n29864 69360\n31600 46924\n33410 45593\n79616 94152\n54116 75885\n28821 75411\n640 24896\n77681 99368\n41429 93772\n73990 98968\n43543 78865\n26551 73925\n26458 92150\n31424 36932\n52848 77212\n10203 58239\n10436 19154\n15816 45781\n71171 77955\n24542 27040\n1596 50545\n37691 60548\n5732 96564\n67668 94487\n16984 42072\n35563 44617\n6391 89268\n53438 73486\n42881 50561\n71245 90080\n61796 67979\n21290 52760\n47960 70282\n74825 80396\n15875 43169\n535 71335\n24831 40832\n76680 86369\n32273 55866\n46051 77773\n54467 85379\n8590 15715\n35782 79219\n27014 69821\n34439 47725\n29237 37743\n12265 48074\n21809 93167\n88375 99499\n73034 88014\n20417 61178\n1939 86711\n64283 88867\n53116 53261\n57215 90025\n51164 68279\n5350 83076\n68842 88848\n15728 63995\n7455 37870\n13574 36467\n69388 88967\n3838 32293\n10130 64271\n39863 88344\n66824 68175\n41246 73715\n38908 84534\n73830 91183\n42297 90720\n9550 21909\n52764 87887\n77280 90133\n67374 94613\n9134 75878\n6285 45687\n25831 80726\n58378 79575\n18326 91426\n33139 36304\n31978 92988\n22847 83736\n39093 95799\n38251 44215\n54420 65726\n23219 86900\n15290 62302\n62716 81495\n47714 53377\n17728 62621\n30102 65944\n76481 96904\n62588 85179\n8315 52871\n25211 76825\n8073 22841\n3605 21963\n4974 67688\n39306 74861\n19807 38794\n56497 77505\n2477 46953\n26918 53772\n7128 15101\n27497 89579\n24505 67392\n31144 72522\n28489 94802\n26255 41425\n10788 56891\n40086 62560\n52620 75874\n3561 89926\n20817 72999\n12484 93826\n45213 96600\n8561 43097\n53735 74595\n85442 94494\n61342 64081\n51676 91118\n44716 83741\n38367 71301\n27992 93610\n29419 30825\n33162 40766\n64998 84178\n30585 53493\n27156 32330\n38741 49713\n35119 88548\n15323 98459\n7356 76273\n56436 66735\n72035 98090\n7417 71873\n8882 85506\n70154 93699\n37774 79860\n29169 84961\n10935 62728\n59344 96416\n77708 89868\n6655 11072\n43130 59343\n40598 51000\n21142 93780\n8043 25858\n66564 79565\n87751 99464\n45789 51644\n87757 97537\n32003 93313\n35254 77220\n59843 67386\n15223 34961\n16583 72420\n1031 26134\n58220 95946\n34575 56021\n30193 92063\n39531 95770\n91095 99384\n6851 69522\n12722 32433\n19963 95262\n5635 45153\n4223 61135\n44285 92702\n22536 50109\n8163 23681\n346 34750\n16802 29429\n14880 98476\n18309 92872\n19647 34661\n7874 7900\n24777 81443\n94088 96312\n73126 75643\n30346 68797\n8463 79236\n74694 77756\n3309 15298\n9226 68294\n48086 74972\n56822 73324\n16565 74160\n45988 75729\n23687 44000\n8697 92841\n48294 76448\n45014 63098\n56277 60591\n47428 59952\n52102 68839\n55031 66427\n3160 33869\n47239 53740\n81942 95215\n20036 82758\n70094 87473\n53028 88253\n33053 91763\n23654 27431\n27399 99246\n63696 99229\n3862 88839\n16694 90687\n39740 65085\n37507 74129\n43384 64537\n36960 53573\n41184 70466\n21651 55905\n2678 54884\n97834 97956\n25149 76199\n17267 99407\n20079 63823\n28487 95434\n14294 65755\n24612 38809\n83794 87461\n32111 63841\n31309 75637\n5588 60690\n8024 70915\n33945 42055\n16711 79624\n21594 76129\n63079 68764\n26648 86512\n21949 47832\n44073 61817\n56254 64219\n14267 58137\n20652 39709\n8717 79514\n9666 19399\n21862 71289\n30141 85742\n12789 94588\n49784 70309\n59943 73854\n53322 99397\n16025 36089\n12390 52065\n1193 7774\n21591 97736\n9339 21700\n62264 86748\n11126 75978\n38448 59621\n9482 58737\n13688 62001\n42167 52744\n73417 76603\n20904 71789\n20558 31591\n859 88428\n53006 84948\n43958 62422\n15868 60817\n63164 70160\n44317 69332\n17096 75226\n12107 78959\n35664 95027\n1544 97617\n23992 66860\n63754 96180\n67211 99742\n19912 37117\n42336 49693\n4764 66149\n21953 94626\n12419 40344\n8962 90926\n35665 67362\n66629 77588\n20708 70462\n4159 79164\n20878 51937\n10641 78663\n46196 63600\n187 7599\n88568 90725\n91204 97200\n6609 40241\n38900 80159\n10235 27809\n6798 30355\n12463 76129\n60222 73164\n81438 85962\n34730 92207\n4647 58459\n52835 89702\n47079 66546\n56727 75005\n58663 88133\n7264 55757\n53846 93883\n53878 90624\n27815 96270\n27431 59795\n29724 90083\n66530 74537\n47281 78165\n2700 79170\n15119 33495\n22686 77378\n49749 86679\n16748 20826\n6923 32824\n15686 69222\n23046 25899\n23297 71694\n78812 95705\n89419 89625\n12111 83200\n66305 67961\n72156 72973\n11610 80431\n80807 96515\n23415 86346\n91241 99276\n88102 88665\n13644 14930\n34954 38056\n18172 72018\n80329 94238\n43339 66847\n94613 94863\n39717 52256\n8510 25933\n15272 71729\n48432 82161\n31345 48387\n20786 62264\n80944 84286\n50888 82636\n88859 98433\n12861 54606\n1609 49048\n13189 46639\n11502 49996\n53080 87694\n198 95775\n34796 55327\n6202 8799\n2446 86931\n16014 36304\n45308 45633\n40780 68191\n49534 97528\n22757 94348\n13128 35978\n33092 96623\n13999 17994\n6586 10796\n2507 60784\n753 43468\n68459 70917\n49901 97020\n33582 83507\n39261 69097\n40740 84645\n20144 30559\n50739 60611\n23111 66520\n23901 97513\n30681 94771\n8120 61906\n64302 68602\n26851 31402\n36837 40693\n51449 89033\n10974 35154\n45154 49976\n2388 3498\n54509 79311\n32670 65791\n65435 84988\n51233 74425\n1460 14581\n39448 58908\n31620 63296\n4908 14393\n44548 73734\n18760 51592\n81410 89668\n42010 84163\n53378 67143\n26634 36438\n35167 50924\n3051 50621\n9225 88408\n2616 29158\n24427 32633\n56542 89029\n13334 95352\n10921 83793\n5104 86052\n46363 96178\n52269 55029\n60312 76267\n86141 93604\n56486 96978\n25961 43769\n55265 59525\n47283 70831\n14491 58573\n1993 41490\n958 38236\n7604 60452\n10500 85340\n3755 35730\n28304 78201\n23051 84994\n8050 93500\n49019 86139\n87069 96987\n12063 53999\n83292 86233\n32965 77174\n27294 66482\n444 72984\n9661 37265\n3500 28349\n51315 87484\n59051 93244\n38629 42355\n31649 83781\n19368 54992\n73785 76173\n8250 30257\n25624 33656\n75795 93635\n78775 86579\n59073 86945\n81028 86653\n49110 95998\n22253 25848\n75906 77992\n26382 46812\n36749 88093\n7653 99742\n74196 99129\n50726 65381\n385 7947\n27841 69342\n81604 99447\n28649 53498\n33090 59126\n62758 75099\n31687 86629\n34772 71068\n10836 69152\n41380 94435\n26796 45820\n17287 56155\n35336 66440\n13517 54768\n694 57944\n12582 34203\n59045 73415\n8236 44109\n34387 53912\n19491 38542\n16766 83899\n15351 48106\n41520 86397\n78637 97203\n29877 72983\n29814 64595\n2745 75125\n91824 96599\n13482 76260\n56174 91173\n11095 42912\n19902 28942\n82780 99137\n47105 59130\n31314 83035\n90253 94551\n6611 12206\n63002 90495\n36375 40426\n2104 49223\n322 47352\n52843 92538\n30996 86983\n53225 83847\n17446 63222\n5930 51172\n14676 41227\n44764 94106\n69205 96343\n32863 62832\n5368 84807\n6087 86151\n8273 21361\n22582 96479\n16505 60316\n43938 47179\n32041 41381\n68134 91600\n85884 99795\n42149 69668\n17534 56192\n13914 51780\n53169 99823\n50547 63156\n74786 91462\n14966 17889\n73443 74862\n4219 18297\n19945 20913\n69878 94685\n37848 88544\n12436 38633\n16689 19860\n9662 13257\n44325 90533\n35683 56149\n65708 99574\n44139 90322\n44197 65012\n17866 68946\n5619 28408\n32550 36811\n34277 49570\n44149 66712\n29785 94496\n33245 62290\n18590 27021\n25348 37137\n26601 87881\n81332 86812\n11336 66006\n10530 17583\n1437 20611\n49052 75462\n37545 83905\n528 17389\n58849 74162\n47736 54288\n19505 40638\n67121 81850\n74948 80505\n20258 61996\n16050 91303\n51129 71594\n63723 86757\n4615 41107\n15599 65037\n7342 8622\n16082 28166\n64423 71076\n39522 67409\n21414 49298\n12942 84486\n18039 60528\n4068 48905\n19382 40726\n25594 63921\n82848 90161\n15463 58885\n48391 99685\n32517 47709\n4081 42788\n6330 65784\n78044 80983\n34027 80034\n5261 69309\n63808 75447\n11879 93014\n50914 58600\n26864 71255\n12821 84567\n62696 88769\n5209 51356\n35389 56260\n2728 45308\n65218 73158\n14781 34071\n16033 92332\n3164 52722\n23557 83662\n28703 45479\n24252 64435\n26916 37328\n11125 22501\n14765 39804\n27914 76317\n8462 79841\n23746 73431\n64897 69181\n33660 73898\n72279 87472\n2611 19411\n56649 98563\n49295 71554\n23222 59000\n35074 89035\n61012 81698\n62932 78784\n27341 51339\n4385 38260\n44469 65238\n25236 49273\n56737 82521\n42673 50997\n18866 68235\n25892 42131\n45639 70020\n55567 58735\n26574 74345\n17424 80894\n3157 55117\n40874 90217\n46412 59895\n47737 66379\n44918 69886\n26491 63409\n35032 53607\n73027 75201\n28877 53065\n64989 66113\n80926 93180\n40141 87238\n43296 81864\n79086 92876\n37421 46414\n48364 54392\n34524 44998\n89408 99332\n11372 93065\n82625 88765\n86597 93078\n102 68117\n21591 42042\n75125 79849\n54634 57223\n23284 38587\n7624 60679\n21367 90373\n5597 62678\n22383 36250\n42538 84865\n8186 12485\n24892 72612\n31187 94920\n1033 94785\n55912 56684\n6961 45442\n11990 45719\n60718 86994\n2506 21517\n27350 52765\n29390 43386\n15184 25154\n22776 75543\n7658 62865\n16972 90594\n14444 89216\n85120 97161\n54132 57414\n24051 63772\n50172 61058\n51265 89605\n56581 73001\n18853 26665\n22869 87973\n14277 73735\n51537 69520\n4270 85241\n16231 67835\n18601 43499\n56215 83964\n36080 93689\n28803 98462\n30277 33797\n23215 53969\n9251 75763\n45040 64369\n20146 97581\n31981 62921\n14674 59129\n11607 62402\n25189 26990\n6078 35295\n68922 77307\n12257 43807\n49903 92096\n22522 71772\n14456 55805\n5423 59904\n41289 65340\n18217 32161\n29217 91202\n29486 48188\n85576 86833\n60264 60605\n30637 79259\n21318 42536\n32812 65814\n18272 54995\n30492 75514\n28214 46933\n68996 91722\n56962 78586\n7713 24771\n6283 47978\n57677 88724\n42370 62380\n86782 97646\n919 94299\n22944 43504\n63691 80564\n59288 98181\n37337 47696\n11510 42127\n26629 81352\n12667 63193\n81482 98457\n41137 58874\n29408 55954\n4139 42762\n58663 84551\n22083 85979\n77279 92829\n49907 98616\n33700 41055\n46570 59603\n22314 95834\n21348 31055\n17708 96854\n74533 75471\n43028 97104\n254 83404\n36745 69822\n59567 99122\n23614 67725\n15120 69920\n20084 60064\n13297 96819\n54906 83310\n44222 63619\n19947 64816\n11865 42132\n20433 78226\n15176 60649\n13069 28097\n32764 91697\n71482 89648\n60951 84600\n8186 88847\n69943 86597\n1035 79623\n59562 99100\n41111 46805\n40787 98189\n43679 93770\n29551 45421\n6068 74861\n49249 98036\n55930 63373\n30739 80022\n4122 47148\n67709 70355\n4893 38693\n39101 43192\n35968 72262\n15876 21278\n60745 95178\n4698 19204\n65136 75408\n61582 99424\n8829 14331\n14179 67001\n55928 55955\n66014 73346\n28670 80153\n94462 97049\n23116 41984\n5589 92775\n4628 99723\n19876 99689\n29624 47862\n43371 78121\n82373 89059\n22710 61679\n14517 79234\n47384 74911\n38408 49700\n13976 67399\n15044 35628\n25446 81091\n15118 72150\n24297 94898\n27624 64869\n9587 73576\n487 77644\n34205 55437\n52590 55323\n82194 85509\n26552 99626\n58109 71264\n41904 72828\n6523 98388\n63179 70922\n67315 96552\n35847 79778\n29647 79915\n16373 30518\n10440 34293\n51325 59259\n20294 48728\n17402 78422\n63405 67654\n20429 44048\n36745 75942\n30936 65704\n84386 92653\n18483 20097\n10082 27719\n86659 95000\n11524 68258\n5006 35777\n10588 49476\n58509 72887\n36195 91849\n1600 5453\n17048 47623\n43868 69527\n56465 62185\n20530 68430\n26882 64891\n42478 94832\n31643 38496\n1662 3853\n23093 43840\n10335 94858\n16448 21974\n23347 37403\n1361 16297\n7827 13333\n70470 72812\n6180 92540\n16091 26718\n34989 44218\n12838 73019\n54439 99609\n73227 87645\n88983 96863\n52254 97626\n17111 72380\n45307 87378\n53054 82688\n31201 83003\n98 88594\n10353 36118\n30743 42372\n86307 89377\n36888 90172\n27202 54344\n64098 69877\n11325 78619\n2650 77461\n1618 45052\n2715 49461\n19659 51877\n21554 54481\n23239 66802\n17801 19101\n19246 43977\n9737 71030\n57011 83123\n34501 44725\n5521 46819\n1182 31544\n47696 90356\n58247 58950\n2732 32720\n20551 57903\n8353 94472\n78594 80646\n5405 7594\n19159 81589\n9439 82379\n8528 29573\n11276 55516\n39339 95542\n54889 59172\n53699 61138\n17316 80216\n20188 52039\n71041 78066\n20927 68116\n26603 45774\n41719 75921\n29711 93597\n20714 51965\n6780 93473\n8205 90082\n36045 80555\n26512 68426\n75504 90436\n1010 1183\n7617 98392\n59325 92361\n75825 76316\n55241 93463\n13696 65283\n23846 70172\n6410 92921\n25115 33310\n44171 63732\n24679 97842\n46047 57695\n71517 88613\n28063 69768\n77084 79063\n37617 75023\n15638 24414\n2306 59102\n21424 59098\n1047 77989\n84082 99780\n49610 58005\n42781 75620\n39554 48857\n13000 32487\n4630 90694\n22418 91255\n22576 31448\n2938 26200\n7334 84221\n31178 87105\n58354 88787\n13613 30738\n35796 78298\n49205 87956\n29110 94125\n21494 87195\n2831 41459\n24921 80855\n25163 57936\n4912 79214\n197 65416\n26993 55392\n999 45089\n8845 41758\n54240 74294\n33010 90332\n45024 68732\n83469 90740\n61245 66615\n2926 12762\n30714 32672\n26078 87109\n24915 65892\n18028 32542\n66197 90724\n32038 40696\n42584 85295\n21207 85176\n26118 66850\n4241 6746\n52161 67694\n35765 78168\n112 51280\n88752 91320\n16667 63190\n20257 93290\n36200 91336\n43490 90560\n24725 78503\n29146 55752\n56528 60179\n77033 81061\n12215 13602\n48942 63345\n26307 95617\n67518 96885\n92578 93694\n7408 86709\n22593 96834\n30151 70567\n55698 83228\n45535 88673\n61511 67249\n9143 87127\n74831 80399\n8690 91577\n20934 54526\n61048 71241\n75189 87499\n33158 48771\n17575 75124\n23450 75934\n29284 80423\n31217 38912\n52150 96777\n79152 99014\n43019 97382\n18334 68470\n667 12495\n6517 56382\n59974 96659\n31192 38200\n61323 65180\n26533 92670\n11603 73596\n3879 82305\n23345 99122\n61921 76231\n15310 70954\n17308 46787\n3474 15720\n20342 79669\n68003 90702\n1615 68360\n50986 59891\n43699 77180\n45674 87836\n14209 94856\n30370 30779\n23381 36707\n11806 26867\n6494 98895\n16011 74787\n13922 27399\n64589 71869\n22251 23480\n1556 95180\n1820 8046\n28540 61032\n29394 66481\n21611 32247\n51210 60882\n52926 84436\n38634 60461\n71201 72059\n2716 16007\n5587 84857\n43696 80128\n80808 80933\n22530 85399\n3628 79929\n19253 22125\n53397 68205\n28385 29146\n7236 93891\n12254 17161\n71477 92469\n53991 93951\n10108 23139\n27630 29920\n35070 95104\n42009 65660\n37983 97960\n34492 47586\n6525 55375\n44926 53883\n4278 7434\n94272 98300\n86515 92002\n5144 46989\n15061 24764\n14216 88911\n22819 23098\n39663 66658\n80668 85934\n39637 57000\n5743 60630\n41334 51049\n74114 91444\n3409 48881\n25700 65227\n11877 96755\n38678 52101\n32608 40913\n29272 52330\n17585 35413\n5951 23430\n44224 55341\n27700 50333\n2840 31000\n26291 52953\n8303 96187\n20244 31242\n21131 33006\n75075 84158\n49456 49543\n35131 87632\n7699 28000\n8506 74051\n44642 64102\n59420 92104\n9842 49780\n78300 79688\n48410 91750\n53708 72816\n32110 96532\n10444 49436\n67563 78535\n45299 73016\n64899 88574\n13548 26746\n68631 97458\n25029 43608\n4309 75068\n6193 37062\n48459 63524\n57411 94922\n876 18709\n3654 11141\n43534 86692\n7090 84080\n32064 95415\n40317 68754\n9066 15388\n25754 41082\n37182 91466\n32547 85112\n11452 74265\n48544 77207\n548 49045\n41352 70270\n46614 66037\n83834 98070\n65505 78874\n16176 47829\n16336 99632\n9801 85239\n22305 94617\n37066 84588\n31049 47641\n73032 88935\n17092 20880\n25583 49907\n69486 91516\n16235 17108\n53651 68449\n43374 49939\n23591 43734\n62126 81996\n53953 72364\n81076 87696\n30913 76531\n6341 14606\n86329 92023\n64101 84004\n11270 76861\n37609 52758\n54203 68807\n18347 33006\n23138 28052\n29475 80921\n22526 65201\n77179 89512\n33519 40857\n18248 87069\n19190 41713\n37484 37655\n9211 69891\n59047 82849\n2347 34301\n96408 97428\n5584 52458\n18470 97671\n6637 10822\n24943 48383\n12529 68088\n54512 77170\n40434 95042\n16332 63858\n27461 86833\n69369 71372\n68611 76990\n69901 77433\n49698 80015\n9221 15678\n6433 48140\n9940 30244\n10581 18968\n18644 64773\n8724 91691\n10241 24561\n15047 80654\n17419 32528\n80083 99660\n10240 48051\n66487 89185\n22874 88205\n38396 93933\n1692 93137\n26074 79286\n75312 96841\n28597 82051\n9117 94012\n14328 25852\n6492 95575\n18904 21222\n93439 94740\n10857 59662\n59227 84719\n214 64977\n6768 80191\n4296 86537\n62604 85092\n37642 61698\n29730 66121\n42585 44716\n43865 77289\n3173 38787\n58357 96634\n12953 40780\n49650 91377\n75878 96387\n58132 82789\n842 65132\n27188 93880\n38523 43864\n74758 81005\n30593 92785\n35554 93929\n39173 98333\n3676 44624\n53429 75250\n6267 30560\n7661 29199\n439 25382\n25331 86105\n879 9281\n74950 84928\n14916 21784\n66758 81788\n7322 82774\n8997 43324\n24047 86243\n62267 70757\n45545 75505\n35759 87389\n6789 32890\n4962 21717\n41114 47164\n6 71053\n55003 97299\n5775 23458\n55031 75201\n56927 87290\n47559 49500\n78671 93821\n16585 57385\n73673 95175\n17301 75549\n87093 96588\n23681 85639\n12179 35082\n507 41412\n30222 94071\n3574 18984\n3284 6030\n39015 50455\n53499 90147\n57427 82760\n93055 98132\n21137 97266\n30022 89941\n80587 89871\n78538 87553\n2025 18377\n35366 91810\n17215 48640\n42280 51570\n69168 98896\n42398 52977\n6228 60749\n77518 89334\n34829 62297\n17613 69104\n24220 87732\n488 50490\n42575 78173\n5944 93712\n30361 88176\n14282 24759\n51829 96084\n15976 44452\n23655 73818\n6214 7353\n22407 52597\n4490 48742\n26169 73503\n30914 92264\n17583 89610\n19633 32977\n16851 71033\n25804 88957\n10807 31758\n31043 66419\n33937 47771\n26807 33516\n983 69541\n27751 61961\n3216 35024\n64737 78183\n36751 77622\n31699 58971\n42239 68816\n49334 91355\n70814 89682\n48313 55982\n22902 97881\n23207 36765\n43215 56689\n61556 96180\n93006 97223\n59882 60348\n6290 42458\n20289 36580\n47181 75370\n20719 87950\n51524 70594\n83228 99161\n82002 83864\n32771 45214\n38983 86806\n35176 90150\n2593 19713\n12426 69037\n15453 99641\n16695 87747\n717 97758\n75339 79366\n9623 75635\n11785 34121\n81600 82788\n46501 49449\n9582 20737\n32984 85872\n67737 96522\n12744 93532\n6189 86098\n7770 9219\n45817 49908\n13284 15376\n4155 19159\n25916 42577\n48648 87990\n60155 73847\n23874 33948\n15547 88609\n4135 51787\n993 10818\n50011 71846\n43002 59652\n57520 87737\n1419 95381\n11436 50923\n43709 97181\n20823 80906\n14669 93382\n2489 19079\n25524 54854\n2900 81596\n5857 23940\n5276 14557\n44244 72228\n19196 93746\n17634 89594\n12850 36231\n26745 82464\n50005 52565\n47688 71476\n3790 68721\n39151 47419\n26245 46634\n56736 92580\n77477 95577\n12252 91180\n83914 86630\n487 82613\n92294 98449\n3503 40139\n10463 53316\n27787 88071\n18670 81180\n37941 83965\n53102 57084\n61637 91338\n30560 61983\n3844 18079\n46433 86500\n979 6748\n64945 77168\n11832 72382\n7089 79641\n25895 83625\n12771 43726\n21415 57959\n17640 26966\n62711 76959\n9016 84296\n18842 98601\n59317 79706\n97600 97764\n3331 16746\n52045 92814\n52006 88092\n26625 63721\n10113 19418\n54026 86766\n86802 88011\n57514 69870\n37370 88391\n12495 62474\n10990 82585\n11887 62378\n19642 44320\n57131 71351\n13986 27727\n11695 16732\n53484 94619\n59274 96661\n18353 73630\n6507 44826\n35388 93171\n17060 42218\n58392 74484\n52943 78492\n1554 4646\n12712 97003\n69389 96807\n24428 47282\n55823 67277\n45227 80720\n25717 26207\n32396 54517\n821 75420\n31862 58562\n7562 97047\n5232 80446\n15467 38137\n36900 68688\n71061 77664\n30564 32948\n47865 69654\n27323 39530\n34070 81610\n12979 38242\n9938 19864\n36702 96249\n35031 82054\n43565 77874\n13227 97805\n22900 87074\n45579 48169\n27689 63661\n60371 89171\n23462 75355\n10297 75568\n42587 65726\n56812 63309\n54685 63589\n18284 94524\n2215 98992\n2066 64358\n65213 93627\n12717 30079\n37790 96400\n817 10406\n26352 55300\n30712 55252\n25145 99601\n24355 27748\n11799 46327\n54525 85120\n25324 53473\n5808 93849\n89262 96894\n17587 40625\n50713 86365\n70803 93260\n28580 80267\n22083 27752\n47639 66190\n10340 20277\n1851 82524\n32192 85994\n29379 53945\n27130 40483\n1561 77878\n21737 57695\n78690 86615\n5200 26470\n55492 82078\n30179 47364\n33629 75161\n15624 75426\n38034 85771\n31685 64405\n7093 92307\n51861 72038\n13663 81524\n27410 33742\n11048 39889\n82914 89638\n81484 97734\n31655 53093\n29419 82414\n95929 96854\n61185 79441\n76263 84690\n75562 90096\n48748 95992\n57082 85701\n169 21640\n29710 94539\n87455 88420\n70558 74784\n52102 75720\n15019 16994\n94164 97592\n53745 68497\n34436 50888\n4062 39853\n8709 33819\n54405 74641\n55349 61854\n62296 93084\n46516 53009\n51179 63495\n44680 67669\n706 54923\n23679 55631\n22590 58179\n9533 83893\n13153 74627\n28 57298\n15303 23937\n37802 51070\n20354 33737\n67756 92959\n56464 68458\n56282 61433\n4857 79684\n24857 57729\n40478 67946\n49600 66106\n12257 36440\n82499 91374\n40384 73435\n28381 44442\n69449 94083\n45412 71215\n7262 61955\n30700 52598\n32493 39357\n41584 76533\n8776 52989\n18061 73580\n10089 36437\n23575 29802\n61839 94659\n11804 68124\n8002 79095\n13534 32333\n78160 99118\n88571 91334\n30573 91806\n40388 75370\n21088 37429\n5290 15866\n9246 38621\n35009 59832\n45062 87959\n33140 82722\n15972 28649\n63023 99212\n40741 91481\n1735 50723\n28873 90921\n3692 11464\n66042 96060\n48110 80243\n7682 54853\n65387 93159\n39600 51787\n82746 92909\n40309 46285\n50436 62311\n2074 24814\n84070 91606\n9518 99564\n34194 34254\n47386 61772\n32662 78256\n54696 70238\n229 76176\n61966 65830\n83710 92371\n32096 78968\n51428 94654\n75623 92722\n21054 90490\n17836 58758\n14246 64883\n12519 57302\n32372 44813\n60814 81195\n14187 81110\n42135 55368\n8215 55260\n69629 95680\n89077 96012\n9108 35606\n68733 98554\n47179 88572\n40615 44239\n14655 68901\n15926 97607\n35582 48485\n3168 75808\n48450 79973\n59497 91387\n38838 87281\n25162 87848\n45383 70344\n34420 95112\n38211 62313\n6419 72219\n22623 44873\n11774 13949\n37964 81319\n45458 94393\n6161 59390\n62058 90764\n75733 85493\n77985 95150\n9644 58991\n11496 11826\n96259 99520\n3094 82303\n35513 99778\n87322 90521\n28680 57290\n32261 83435\n6555 9025\n76403 83249\n22998 32403\n17263 61646\n29720 31977\n35596 77624\n26939 29530\n69245 92985\n33296 56868\n57011 74721\n76182 82893\n41202 82566\n8513 16518\n2157 26078\n24277 50812\n63245 85647\n42302 67388\n21873 44681\n26133 46558\n65065 90084\n22370 23707\n63698 66372\n25360 66074\n57901 81390\n26198 80429\n30205 73355\n39473 61815\n24306 92297\n51855 69582\n28191 30856\n8112 56676\n47764 66241\n35415 72622\n21198 57611\n52362 58542\n4459 77681\n23716 61428\n63715 98674\n8285 11645\n20288 91238\n9895 85095\n52031 82929\n12973 81999\n30842 31431\n42993 67144\n18243 27314\n24323 59544\n86715 98839\n682 74620\n9841 68484\n76705 82488\n13058 16594\n21451 31972\n29977 42636\n62990 63703\n3619 46236\n53953 84268\n58714 90412\n39278 46373\n17657 59408\n2959 37559\n13089 58787\n29920 89315\n74581 95297\n60619 88575\n22018 95658\n61016 99958\n4607 9147\n53531 87796\n21528 25578\n14870 57373\n11217 90908\n24841 40057\n28226 54449\n35393 96690\n67472 91818\n24175 93791\n43143 47715\n73476 74191\n94045 96279\n29527 49030\n4638 53068\n27161 95843\n19198 39414\n45980 59326\n10890 49548\n54293 69635\n9295 61909\n49040 63776\n47310 56296\n64435 76435\n6350 90823\n5603 41488\n71643 84462\n45764 87295\n18 12108\n936 9218\n45037 76354\n42107 59535\n22161 96586\n40353 62787\n47917 76982\n3166 52127\n57519 85653\n56381 91850\n3142 78941\n29773 95477\n27659 89098\n81475 91019\n39721 68220\n5147 74216\n53501 66854\n62666 74316\n14652 51234\n20302 82936\n23604 76851\n81501 89927\n32206 42491\n42250 58474\n62681 87435\n10659 22264\n4316 38011\n62113 80050\n54254 77439\n53663 66648\n16682 42544\n11551 84028\n26286 54090\n63140 81707\n14689 49453\n18226 84535\n41573 46064\n49887 62241\n19335 79453\n75829 82063\n12986 34680\n15102 34825\n19739 83700\n68583 74881\n75981 87447\n40467 98569\n93074 94521\n8369 95099\n14872 15857\n1538 91963\n45704 87189\n54175 65786\n99716 99854\n2273 97603\n63461 85334\n52109 63566\n26591 54546\n15722 84868\n23330 47703\n25994 31442\n61949 65173\n27412 96816\n49363 55057\n466 42695\n15978 53696\n8863 31165\n20012 35980\n71697 91857\n65611 70090\n65763 95803\n30629 86066\n79445 90264\n74928 96365\n1293 27834\n49194 66121\n58853 61423\n34363 79114\n42834 71991\n7431 76363\n40367 46778\n67284 70594\n65660 84374\n13063 53586\n38971 64448\n47364 70235\n3255 95484\n1722 72474\n44925 81218\n58275 64454\n21319 96175\n54009 92268\n14451 36212\n34306 79139\n17591 35811\n13828 65380\n26950 74390\n2210 79185\n28058 28566\n16022 33388\n68472 86734\n54560 78739\n43316 70434\n11914 54071\n14725 90336\n42866 89448\n33713 53297\n21890 77078\n27599 61811\n20301 32411\n21538 67052\n11606 69646\n68106 88940\n34126 44121\n67294 78659\n52113 95069\n2044 5302\n50761 60924\n48874 95333\n18636 78286\n18092 82967\n372 57300\n6982 37817\n12174 79780\n4519 63293\n49856 58609\n29017 48287\n38890 53370\n2446 31627\n52912 59926\n11143 64551\n26609 49660\n20892 40343\n19876 37907\n40035 94198\n24059 73268\n67534 99528\n3005 14307\n31904 70081\n6264 9202\n59165 90585\n31870 52955\n39141 73682\n15234 27537\n15842 46019\n10105 58273\n5187 89513\n19083 50290\n2592 28805\n29199 49316\n35606 84094\n59717 90331\n53216 95251\n38130 87296\n11384 52515\n4414 45438\n65827 70403\n23076 54127\n25500 86376\n81925 94720\n1006 22264\n78575 79407\n19188 49131\n55565 64994\n28443 58679\n13051 74957\n39482 67231\n61288 86167\n18393 74883\n48626 69934\n30529 35742\n11868 17400\n6331 74769\n27343 55654\n91122 95810\n35129 93720\n58425 71790\n36925 41884\n42478 51462\n27607 77700\n24278 51890\n21906 40735\n11599 38044\n46381 61231\n14144 27230\n50926 51789\n23003 96521\n29546 39642\n57108 89858\n29849 40788\n73327 86808\n40141 56295\n84392 85552\n77727 85745\n50613 89751\n28598 89527\n42702 96007\n30516 54051\n34636 74425\n6910 72149\n87048 92558\n6540 97668\n26582 74814\n71409 77090\n74929 75535\n14246 81296\n20099 98676\n36851 69295\n14113 66633\n30148 57488\n66445 77859\n54225 94559\n9887 65959\n8081 55732\n28216 97013\n32958 92800\n7439 80118\n77822 93038\n81398 87097\n62856 66244\n23309 48947\n20683 84317\n39643 66444\n60427 97880\n82239 92922\n7138 90330\n3289 59073\n7807 70004\n3520 96750\n73900 92763\n46215 69756\n15559 45248\n40041 82951\n28131 88011\n34028 49711\n17274 71635\n14075 30520\n4844 83558\n5620 26835\n28294 92392\n76176 97281\n66914 69020\n58944 76308\n38240 56925\n75961 94448\n66199 96826\n47218 63465\n12549 67097\n57514 70856\n47821 78044\n24650 32605\n2303 34595\n507 49291\n58048 60274\n5305 95781\n5018 89989\n50300 86132\n57268 77732\n49213 54856\n4120 60242\n28241 31519\n79692 87893\n51060 78318\n18533 42003\n56297 69536\n57663 99708\n33672 73068\n4020 15974\n40377 99085\n70159 77253\n15482 16175\n18905 60121\n80002 93485\n51658 78450\n2718 26528\n668 43031\n1253 45174\n61284 78993\n12253 58747\n58166 60831\n75103 85283\n9882 14569\n7056 17470\n10094 25052\n26765 60931\n14516 68723\n60003 99549\n55723 66462\n49458 98962\n81512 93568\n17085 33427\n29831 45649\n70693 75957\n13250 98604\n29159 53585\n97019 99281\n34114 92202\n28273 43872\n13493 64533\n51499 52339\n29637 46071\n10653 77323\n17228 27599\n26374 80917\n84581 97831\n29995 58687\n49940 76063\n47687 88234\n8973 96534\n38101 89742\n7005 57859\n18783 87650\n64239 93878\n22430 83234\n15930 98922\n28454 47241\n2182 32922\n60923 61081\n44948 74539\n4397 42699\n59930 95630\n68392 71893\n78452 97021\n60237 67412\n13285 16243\n22526 32198\n37215 83331\n43497 79782\n44810 53265\n17363 50234\n18959 56853\n71734 85831\n41677 65249\n1815 55062\n40797 64271\n65664 96059\n34998 36393\n78462 84716\n35158 86851\n48078 81044\n28159 92775\n44633 66362\n72013 98080\n77357 79828\n45470 95530\n60932 96936\n14031 85542\n44646 80299\n1635 6187\n4566 49448\n17823 86600\n10018 57826\n617 55271\n2930 48110\n24281 74513\n9322 58324\n45871 88908\n41696 63606\n7938 43984\n52707 70474\n40226 76390\n25710 59731\n6459 86885\n47550 50750\n84666 95840\n52331 91318\n57627 75872\n22126 46148\n26818 45085\n71588 72387\n27582 57951\n13797 72830\n14974 54309\n2861 51733\n478 4348\n29550 35812\n6181 58231\n41977 53280\n88757 99384\n39943 83546\n7546 64299\n50969 51776\n39640 45822\n1519 54546\n42956 49850\n18773 48660\n19863 70684\n66610 88786\n47721 98909\n17690 53734\n63726 80665\n14915 47270\n28671 88592\n14100 88934\n93470 94910\n96746 98213\n31107 85768\n35358 52864\n11660 78539\n10624 63482\n1128 9196\n1619 23377\n24657 56321\n5635 92377\n21284 27101\n57518 92489\n6660 87083\n8234 89243\n1915 35699\n47945 77425\n8596 79010\n23525 74876\n21565 92738\n59883 95595\n31504 70876\n1800 10735\n7802 34528\n47319 81857\n10821 11828\n54979 57113\n3902 18030\n15848 48012\n47341 93459\n39625 84792\n10339 68322\n26726 55220\n36175 67156\n85514 86807\n19502 36097\n33047 75479\n28771 54149\n74417 97264\n14172 91970\n59095 87716\n50123 99606\n789 55386\n16730 63507\n2695 81132\n8354 97418\n28721 68922\n32259 90178\n13062 61847\n51430 84390\n24154 37128\n39353 56524\n6310 97945\n21747 43994\n80381 90706\n53863 89348\n7629 46301\n36798 84141\n80771 87135\n27367 34948\n54102 90020\n60224 65866\n35589 42977\n39301 58950\n38836 70815\n36298 85373\n26741 59822\n85069 88946\n6191 36116\n9946 39294\n33950 67669\n36568 55952\n8537 18881\n51319 75492\n23915 27832\n30010 55984\n71801 81538\n17182 94522\n24261 96524\n26381 94467\n5784 69423\n44565 70951\n19137 82349\n17730 39763\n45386 54305\n5981 63445\n15986 76112\n23111 56876\n5724 84880\n649 21107\n14121 92840\n15338 61682\n35791 46606\n21697 82925\n2345 38833\n12027 81672\n36514 86543\n82477 88910\n36875 72186\n49594 79218\n43112 80237\n2710 62468\n5296 78315\n71848 73284\n21831 79159\n35518 85656\n60183 76222\n32452 50346\n24748 74386\n12146 73539\n46865 53961\n69665 83279\n41818 97070\n33807 79705\n59817 66539\n42980 96077\n40084 41461\n33511 47404\n3649 54892\n28436 35653\n9193 13936\n10762 47785\n23960 97417\n9666 45545\n11064 94059\n31481 55587\n6349 90709\n8840 58935\n36401 58244\n27022 82630\n25796 56305\n31458 72222\n42171 72954\n10220 63060\n24448 36286\n7053 47505\n12112 91207\n12241 31362\n53344 86504\n60278 63463\n11812 44925\n1779 56382\n59042 89534\n64897 81958\n13771 95278\n313 55519\n62552 91270\n19269 87566\n399 96603\n19801 43906\n28361 32999\n70459 88491\n17141 78518\n75963 91914\n58038 67093\n79902 96641\n17023 92941\n35768 38433\n11661 56814\n4102 80239\n4521 26537\n48440 63432\n94484 96565\n7785 26296\n22243 41627\n26918 92311\n60997 73804\n87 7493\n19537 61205\n46840 54657\n49296 54746\n53553 61310\n31500 86762\n35070 71845\n15679 96721\n22146 23581\n42244 96267\n18332 28474\n40344 93964\n21610 43263\n47005 68536\n77809 82520\n29464 60052\n6939 22743\n16875 95014\n6876 56458\n23182 90994\n67248 89474\n1153 43818\n15058 62110\n39828 93539\n13381 82242\n28500 37098\n69287 97395\n63010 79059\n16261 58718\n10920 35352\n39860 69800\n56847 62664\n49583 66425\n64435 73792\n59800 72460\n81055 86424\n34688 57717\n36326 36661\n91236 98060\n63926 71876\n44235 55934\n17554 38711\n70247 91582\n58355 84917\n78231 93525\n43556 65636\n8746 37148\n48716 52302\n9894 80211\n21513 72868\n69523 81818\n3155 20159\n20492 99794\n5792 38350\n22239 94445\n6805 67339\n15061 85909\n7531 64406\n96161 99334\n33957 39621\n5870 87066\n14290 33703\n16173 78852\n67794 69703\n55604 82786\n47683 99066\n16594 91779\n33754 52035\n23769 61835\n54378 56683\n7513 83149\n13096 20243\n43946 79824\n12267 73143\n35275 82379\n55699 59215\n25097 60075\n3893 55882\n61903 90398\n18283 35484\n5639 83798\n8972 75274\n16616 18502\n58262 74090\n31977 84471\n90345 97057\n21606 49516\n17534 71406\n69456 92294\n50017 89039\n35984 96581\n28719 62220\n22729 71896\n92241 97503\n52086 58146\n13650 37831\n21921 92911\n22435 76356\n68939 83682\n23521 72941\n74137 81161\n6997 90988\n8587 27156\n32305 62439\n14867 36265\n89340 92592\n16565 42197\n75881 99618\n9876 48229\n32675 34673\n33729 70557\n21426 88689\n7853 83950\n12552 98641\n7232 50667\n6291 59639\n66 33420\n75881 90478\n23397 78243\n8640 73919\n20476 78895\n57294 90901\n26727 27494\n47882 79174\n53953 60525\n27904 44360\n60181 68615\n26320 27787\n56103 79314\n17133 56208\n17735 33702\n34913 73102\n13505 94396\n18885 28502\n58593 82962\n24274 83560\n91632 93618\n25843 49369\n10816 39083\n8328 19600\n63442 73232\n13769 78301\n31717 33495\n18207 89905\n91887 95173\n6970 40947\n55693 92081\n53077 87553\n34997 76390\n17019 40289\n40772 54803\n83314 92759\n94471 95495\n39889 87806\n27518 95307\n53812 71446\n2546 45079\n2115 25073\n59078 88673\n35668 51629\n39266 81390\n42177 47861\n34566 89037\n59780 64028\n27236 92749\n28979 33472\n15414 86688\n42320 87406\n50766 73860\n92831 94713\n40960 83432\n48949 65865\n82469 90496\n17377 78234\n2472 34879\n27827 31192\n8692 10693\n30553 85734\n34306 64795\n36354 49726\n34586 89258\n15533 45928\n81338 95115\n13910 80162\n16705 27782\n31724 41449\n445 75932\n15797 59836\n58312 98730\n38206 70774\n32881 74106\n47930 82159\n25401 29852\n1701 11779\n3272 28258\n26844 69564\n68527 80207\n25997 96172\n42235 91082\n58194 95698\n15321 91039\n44530 61490\n20665 56932\n28708 73404\n15380 93910\n52410 58247\n31962 99456\n31148 86613\n76033 79993\n34792 61756\n51693 96788\n25852 87725\n39056 93841\n80668 98900\n33269 72862\n53413 81482\n37625 54014\n46302 60076\n32653 40120\n20833 70899\n21339 68246\n60931 88746\n60101 83269\n56329 88443\n34037 60444\n39460 77452\n19705 40817\n35638 85265\n23189 94430\n41079 64085\n46841 49674\n22819 64880\n21472 94178\n47632 63724\n24655 25662\n6328 43379\n3918 16462\n32895 49040\n34005 71885\n62697 84182\n25477 56761\n95978 96864\n52102 95498\n7740 40927\n27000 32973\n5791 86492\n81762 86387\n14286 23380\n5402 48117\n67757 76327\n38887 90535\n64581 76851\n24788 52516\n2098 54115\n95234 95727\n58192 70052\n3433 75930\n5990 61242\n52107 98297\n48320 83834\n54158 89916\n4240 50926\n33095 74347\n69523 73678\n28257 45139\n12966 57951\n19842 94744\n52199 64073\n9302 77183\n22357 72043\n14910 76994\n41218 55839\n19387 74179\n11220 36494\n12882 61607\n9983 55860\n10340 67708\n70423 86286\n611 74220\n64981 99845\n19233 61728\n12341 70566\n61849 95174\n28585 59569\n34464 91615\n16655 81867\n22761 47908\n18411 57438\n30320 45466\n46619 56357\n58006 59570\n48899 55320\n20018 52166\n8931 86385\n15113 55154\n5403 82015\n20944 51310\n31949 41448\n61247 82068\n47963 48169\n63445 78150\n29221 65121\n37543 50533\n1116 20394\n24804 25705\n14268 22418\n29503 61372\n24616 99007\n4063 4078\n26510 96020\n76770 81008\n5197 57379\n3477 4682\n27713 63005\n39632 52696\n66607 95964\n18840 29596\n31197 52359\n9559 11270\n50847 85821\n36934 73159\n20308 88148\n31914 79570\n17799 82769\n14654 33923\n33227 79632\n13924 52862\n63300 92396\n1814 18141\n51742 92172\n31829 86513\n13885 83687\n52841 61374\n42120 74178\n59548 67499\n18857 86563\n32478 60973\n10946 62465\n45948 64328\n18454 51134\n58820 72869\n1616 94198\n44319 56155\n6828 70941\n65715 92328\n16557 28346\n36926 83376\n24414 81877\n597 94808\n45832 70818\n47082 99531\n23368 83687\n24522 36087\n21460 82660\n22280 70446\n12415 48600\n61149 67318\n64557 88701\n9196 49041\n1502 97446\n23921 50369\n55206 92386\n15786 71924\n141 30138\n30342 34415\n87119 94839\n4541 38166\n49402 74105\n3601 92370\n8591 77076\n1032 44414\n86860 87865\n4239 67177\n27370 64388\n745 38475\n87527 87568\n32426 73810\n54986 66682\n34428 84115\n15454 72667\n72624 98554\n89157 97474\n659 30632\n87096 96194\n27281 93425\n1848 73163\n9075 26138\n5067 99143\n19363 22759\n3947 18931\n34593 73296\n16504 79395\n39695 79026\n3481 81426\n21968 73581\n18460 83559\n47616 69982\n17680 64197\n50804 93534\n39684 81746\n57974 96680\n12212 21598\n21449 40380\n351 21834\n1540 75851\n53694 90567\n15817 50022\n8866 30756\n28627 93821\n49978 63308\n80033 91763\n55298 83204\n28767 33621\n49725 72803\n54380 97426\n54863 69625\n31577 76969\n38119 83529\n30643 47413\n4908 63477\n36291 69013\n34256 84541\n41644 58740\n22479 45029\n4533 11603\n10923 98166\n34599 42192\n855 21832\n7898 43768\n10232 12359\n48775 54314\n12561 31100\n32647 62575\n58571 93798\n12632 16593\n21397 64076\n33052 88560\n46866 68898\n7932 45834\n7499 74383\n3539 97055\n20965 92500\n14167 61018\n3118 91689\n34055 55918\n7512 26623\n68780 98604\n54102 96654\n3911 50132\n10301 56379\n3200 10537\n88191 99217\n75762 90667\n46271 49913\n32134 49658\n46144 75729\n6560 70263\n22517 89071\n58232 71816\n33545 68102\n43386 60273\n14163 92590\n40890 69910\n44561 80772\n84429 84685\n8827 56063\n9893 48120\n40008 83930\n24430 24900\n12424 13511\n38866 71619\n9123 47801\n62004 72923\n23104 97884\n14537 59142\n12474 20367\n53319 90512\n3234 37293\n4221 32116\n29967 41831\n59498 86441\n25275 80035\n3733 99917\n31180 85750\n40484 67531\n22405 75260\n64338 93098\n9548 37866\n16155 33735\n89025 89497\n10452 80511\n230 25720\n16108 82234\n14453 73083\n19808 54630\n58483 59040\n79652 92440\n15321 47989\n40655 85831\n16574 97940\n43233 65665\n76935 98076\n14850 56276\n52361 72691\n23863 77854\n26489 57161\n16071 62435\n25119 42374\n12904 81428\n16211 46146\n17280 57860\n59328 96000\n24583 37162\n69050 88526\n1037 51000\n34849 75679\n69371 73479\n46459 96051\n38173 85132\n7591 65209\n28092 89895\n8847 88744\n28391 81073\n56079 63257\n167 45107\n20230 59630\n4424 7368\n7798 49605\n20336 34466\n18836 21280\n37004 65959\n59695 98391\n91307 98943\n57417 66427\n11732 32271\n17275 94951\n42262 58382\n35368 95896\n45094 48771\n30570 75756\n7639 82382\n33506 78635\n20493 52678\n13454 36725\n11434 22394\n27221 64555\n62466 85851\n81438 84184\n21629 95929\n145 19188\n16863 21004\n512 14338\n10257 57940\n50473 81650\n58360 91154\n74957 94288\n23638 62591\n20917 37610\n49855 53891\n16485 82722\n45360 54742\n59 32563\n38369 50736\n45180 55548\n26893 48717\n17649 79178\n2638 52681\n4197 43525\n46773 99872\n51632 85466\n5594 78744\n58144 59698\n57156 72454\n36262 45997\n4842 16938\n2288 18788\n52300 76791\n31831 40894\n11501 99676\n16298 24629\n23915 43345\n15919 58925\n34839 64219\n2746 69640\n29767 44902\n48484 53734\n5887 45898\n4649 97312\n14877 57429\n14251 87522\n28153 65556\n38505 45957\n68471 71924\n38103 69196\n34727 80728\n10745 34325\n3304 7502\n42578 80077\n15201 67984\n77742 84564\n51413 95718\n8192 47440\n41208 62559\n45391 45640\n12423 88303\n83156 97651\n19423 63313\n9700 45140\n25595 57880\n18387 89642\n39736 61460\n23371 62081\n22986 87898\n17976 74297\n8457 12678\n1648 45807\n35614 54176\n50815 66970\n24069 63037\n23338 75046\n76177 95138\n8469 70543\n4695 13415\n50322 70584\n3928 63398\n3616 83755\n3623 69022\n19394 85440\n41791 63113\n68014 76787\n25292 74973\n47315 78844\n776 31149\n35663 82819\n72754 83336\n15439 48984\n6493 65681\n15002 50597\n69356 93564\n23834 34894\n37596 62090\n82034 84558\n3040 82610\n2852 85186\n436 13235\n8136 81746\n40232 85341\n28766 94351\n53813 55929\n29400 99373\n33667 44319\n36530 43516\n51448 81005\n22057 42224\n4470 84412\n3079 6143\n79031 93598\n7433 47673\n32382 73129\n13726 21982\n46657 89085\n76080 96481\n5650 47356\n2456 84501\n28609 60580\n19650 26829\n5695 26892\n80089 84095\n40588 89160\n88122 90583\n82838 90156\n296 70456\n8172 30153\n10035 84336\n62445 76784\n22747 65251\n52582 87459\n72219 97494\n41943 43006\n80982 93013\n36107 70517\n48656 63251\n37666 80078\n63510 81056\n24091 39236\n30737 59937\n28811 45281\n37097 82772\n87190 95985\n6278 34400\n71246 77245\n78850 94768\n67488 77059\n39644 68689\n9827 96483\n34366 47898\n33217 56777\n4412 93003\n774 83765\n15240 77335\n32216 35156\n28217 56957\n31895 37616\n74707 81048\n23414 78968\n3209 24577\n83802 99831\n3193 81432\n4122 97524\n3324 60057\n42634 71946\n24978 74076\n3292 93623\n58486 72668\n16741 97548\n21076 28569\n37519 89944\n63527 70806\n36998 56426\n9115 46363\n38338 47332\n16982 93251\n11837 18197\n57827 73398\n84202 86025\n63086 75572\n18601 39957\n28596 89313\n46720 75376\n13930 55909\n8830 49400\n24522 28423\n78128 95471\n4499 22492\n42117 73242\n35964 89312\n6218 74557\n37167 42113\n18369 69442\n13734 74203\n97342 98029\n33719 59699\n21388 95249\n69692 95860\n23068 43730\n15472 67573\n40653 44112\n45332 85255\n24658 30256\n6783 46320\n24350 92059\n80945 83685\n81096 93125\n12787 22111\n36884 93165\n12917 23355\n76200 85296\n46406 73513\n5387 62757\n1488 81770\n46643 47849\n32402 96782\n74641 75662\n15060 16035\n35422 74302\n59285 60073\n7613 65801\n12067 36121\n1121 16408\n66280 98227\n67929 90833\n81249 94141\n27498 59858\n30947 71530\n3090 6130\n53319 63856\n7730 24617\n7607 23458\n23066 49898\n5329 28906\n35572 50313\n7122 19399\n20609 66272\n4111 92575\n11811 24166\n63316 92548\n41840 63488\n33666 91658\n84694 89327\n57721 65105\n33595 55617\n32369 76260\n14482 88028\n19062 74135\n46067 74542\n83019 97572\n31712 72810\n5231 29845\n72177 85915\n1461 52792\n2029 29975\n2047 40084\n11158 85276\n985 63780\n22006 75576\n88174 89665\n77115 88046\n34604 74552\n59093 70160\n15884 48557\n7620 30214\n39188 98569\n559 1294\n25978 80176\n26484 55932\n12011 22791\n12408 85633\n36689 68184\n55783 94921\n70249 81666\n25864 38572\n28498 69965\n44910 71254\n80458 89938\n38102 43595\n44881 50280\n13359 98342\n6901 60926\n8307 80276\n21833 39184\n58915 96807\n237 50637\n42598 70967\n65376 97194\n14091 88465\n69245 89583\n973 53618\n50733 74145\n19794 38410\n64764 89704\n58830 95130\n5564 93119\n40687 81392\n78456 82495\n34170 51087\n81419 96662\n1488 80343\n79210 85005\n80081 90351\n67378 85784\n67929 81441\n7623 78862\n20110 83835\n19474 54390\n29941 69834\n15924 20110\n32747 62701\n28416 50246\n32004 95028\n3575 38151\n3909 93627\n23892 62660\n44518 97920\n13082 98303\n23265 81175\n62262 97107\n3030 72716\n81625 83372\n1846 21352\n66623 82453\n16573 98458\n23274 98490\n2234 65252\n73372 78224\n17985 48374\n19925 55457\n32725 41002\n36021 90889\n49406 52858\n46863 67761\n14864 19755\n51263 92728\n52823 85756\n42140 42751\n16944 29656\n8198 60999\n70721 86956\n11059 89048\n10060 27682\n21835 86574\n53578 66370\n11222 77035\n14165 79016\n3727 13146\n12658 28058\n60899 77806\n16083 51359\n34739 68184\n49861 53385\n23553 84813\n59726 79856\n50484 90833\n18601 46005\n4784 84183\n52218 81814\n2197 8726\n86779 96406\n18545 70620\n58743 99887\n41306 79247\n51871 52788\n13348 25629\n46781 93715\n60794 92244\n45713 54553\n89029 96679\n5992 69593\n28212 69705\n14955 40246\n37553 43853\n36890 99383\n78245 78681\n1064 23547\n7154 42931\n2729 20521\n67248 91399\n42980 77720\n86439 89392\n4542 61668\n12112 49960\n2294 84210\n20079 56201\n76288 78903\n63491 86521\n65146 84399\n10435 59113\n53632 71015\n16017 54180\n26463 52467\n5789 86272\n16138 97736\n20273 20305\n5935 12773\n3745 66004\n1699 80860\n11957 84937\n16621 40805\n1736 73461\n19031 89443\n73760 99532\n23681 87497\n22124 37166\n42369 74980\n18755 99587\n18454 40441\n43237 64543\n36632 41633\n51777 86511\n71013 95191\n4582 62650\n84685 92176\n12853 29645\n8784 33854\n28436 41240\n34563 45234\n44760 73961\n32759 51215\n31146 55594\n92702 96289\n59330 92681\n36331 97063\n27725 64508\n2033 34579\n2144 18799\n62834 70794\n20169 26239\n55761 66489\n23746 37135\n57858 73749\n375 72259\n82026 89254\n65412 80215\n26992 84978\n45827 94555\n15461 21474\n13430 74191\n51808 67333\n18379 44699\n27124 57747\n80904 98081\n50410 97454\n7328 30502\n46615 78756\n1217 56516\n3405 30955\n93350 94098\n18169 82369\n38374 65840\n72220 78357\n15771 63223\n68138 88214\n40864 88314\n46886 81833\n30522 52180\n66216 76232\n49637 61699\n15997 21944\n10492 98947\n47530 50962\n36663 94170\n3916 8202\n49369 58657\n19561 22889\n17700 68601\n58806 67765\n20238 53425\n58361 92486\n7817 56213\n10389 15949\n64384 94568\n35340 36429\n12669 33671\n38724 42437\n73804 88617\n16807 35404\n32123 34321\n34968 79467\n20355 29851\n34547 66726\n8164 21974\n41626 93455\n70813 83119\n7461 98010\n25248 71071\n25407 59420\n52056 67912\n1355 92095\n7553 80222\n29039 86236\n13282 21971\n15001 66499\n27070 82153\n21239 88411\n36421 57535\n45279 45917\n28600 63083\n7629 18099\n77003 83698\n28348 61973\n63208 77014\n70940 91702\n19167 22965\n22249 34771\n27958 39257\n13119 59916\n41587 68149\n47451 74875\n14618 37273\n28981 84515\n32715 96508\n32081 43957\n64005 90926\n58282 83659\n34110 48971\n15968 71322\n86950 88650\n64031 68589\n51953 62425\n9605 94274\n87571 91701\n22438 87016\n39678 68451\n40092 80342\n56320 84987\n18709 59023\n3123 55842\n64808 91553\n44784 45949\n97571 97734\n39261 45789\n56342 96351\n9535 38010\n7970 80597\n66736 95547\n50720 73704\n6272 43020\n57035 96162\n12296 58841\n61234 63831\n51725 89854\n4934 95369\n79658 82273\n62767 64815\n3706 88570\n77587 80004\n13781 16996\n512 99931\n24716 42161\n57087 88633\n19610 98341\n4021 51693\n25662 82591\n67014 89537\n4480 79014\n33930 81497\n33034 85075\n27297 35798\n66682 78987\n5840 87159\n31499 68446\n30222 66972\n33702 61588\n45175 52037\n27526 45742\n90931 94250\n4009 64357\n14332 51296\n5891 26002\n35133 35397\n28238 35508\n10469 55015\n30279 30847\n14694 82327\n77130 84955\n12297 73979\n58291 64838\n68725 94070\n7868 87318\n28337 84301\n66257 72559\n250 7985\n5303 93368\n29571 34408\n20935 99883\n50995 85738\n65057 87442\n4683 36016\n3352 31245\n51642 87412\n5165 17225\n36533 97451\n3106 99787\n11233 32150\n25422 68042\n36037 77021\n30715 90804\n20041 41230\n27177 93261\n3250 88880\n4598 78457\n33293 45884\n20535 84015\n66044 84241\n64443 84141\n50634 91502\n22832 95833\n235 76070\n24183 46726\n54555 95148\n47173 64885\n36275 48596\n14046 82599\n69756 79196\n36161 79441\n77532 85093\n16944 17529\n8482 71338\n81265 82250\n20268 85356\n28007 79085\n55746 56001\n48837 91001\n7222 98061\n40588 93812\n2727 68391\n2158 52218\n24670 61115\n25552 39318\n24399 34966\n11637 94576\n45525 96314\n1905 31366\n28595 52989\n50370 91874\n66416 95735\n31770 83580\n31187 50473\n44015 67264\n47074 99771\n14661 47017\n16676 91441\n46550 51111\n56379 61906\n78404 82215\n42906 67500\n5234 29302\n47544 56969\n19792 74784\n62728 95083\n35271 67419\n20166 71691\n43719 48167\n82068 92333\n22019 49180\n54982 83872\n3157 65620\n85297 90033\n36355 47461\n14355 74967\n36421 81042\n76094 83537\n49258 61932\n60544 85723\n81536 87304\n27103 34520\n64486 89491\n12186 47907\n27721 82790\n7063 71087\n17196 60985\n12084 35928\n49781 80348\n50513 82619\n90383 99737\n16529 27581\n21627 32550\n67485 98486\n5279 74558\n66044 80188\n42250 58459\n10505 23934\n18124 98252\n15508 63495\n7550 62008\n17596 78065\n11365 78986\n74384 80588\n11687 85413\n35593 96860\n20848 45081\n77210 82190\n1991 9982\n55724 74083\n5100 14857\n1897 78362\n16696 59659\n20928 69843\n52036 71124\n10264 86215\n18986 27210\n57152 80993\n39942 61847\n10098 73601\n51196 52930\n78434 85798\n114 28498\n26835 61138\n1483 68999\n54700 78569\n34170 68385\n48618 73419\n34062 77609\n55960 99439\n37213 76663\n27123 67984\n39011 69407\n49169 66538\n7982 14997\n23846 84930\n26274 61419\n27914 82360\n36499 66338\n54354 65133\n13496 26701\n1340 41627\n62214 72004\n11441 81804\n34394 61624\n67190 93855\n23240 49336\n12609 27285\n14874 89051\n23144 51637\n60124 70995\n12602 26030\n15297 94517\n14683 17749\n41321 46360\n69889 75302\n26013 70805\n53018 76930\n29808 33242\n14866 62118\n22874 68249\n14682 99875\n56129 98696\n15460 59970\n10344 78504\n27189 81712\n63855 68715\n17913 47981\n32033 53590\n4579 17402\n26517 42127\n36067 82763\n45275 46902\n23028 69376\n12765 33231\n44989 65341\n34542 91366\n6009 30366\n32971 74919\n58711 88524\n4856 16493\n19804 85422\n20219 59910\n31077 84667\n40111 50273\n49860 64700\n10643 79262\n40529 46621\n33565 64398\n13201 92466\n57468 75030\n30415 42268\n38967 92533\n52796 55652\n28290 87125\n9505 90147\n23551 69106\n24823 59284\n13194 79291\n24444 81046\n36310 74687\n37849 91723\n16936 70478\n10916 32820\n1488 46747\n6489 35997\n87372 97296\n30605 48607\n9077 93292\n9054 62324\n33796 57588\n12253 47891\n22228 49800\n4408 62678\n66417 96463\n48870 50373\n31523 96761\n7842 39311\n27128 44450\n2626 68328\n38290 63303\n40500 59286\n1339 51168\n53178 99297\n2408 89860\n64554 89847\n14559 99760\n62585 89740\n23822 75781\n40857 47465\n47119 96438\n35127 80822\n11097 65558\n11571 63250\n35611 45266\n7134 42001\n25703 86818\n56755 74134\n44865 45162\n14754 77021\n23907 25608\n6408 23949\n56971 64449\n5176 43916\n39197 51746\n58348 89416\n46648 63556\n68356 79122\n2167 57749\n12118 40216\n36838 61095\n12062 23528\n12581 83278\n2922 30201\n4033 15061\n15257 32073\n38958 85119\n50864 60128\n40124 40465\n3979 36319\n6011 98971\n47737 82875\n30931 78291\n71853 82358\n38633 63757\n37719 83773\n40600 45626\n29742 49008\n63762 70257\n40267 45881\n79883 79930\n41057 79570\n40364 65652\n785 84326\n29163 53817\n85917 93560\n68364 89720\n44779 85528\n59393 62579\n17677 52942\n29620 90720\n5372 14021\n19716 37046\n76288 93451\n38891 67179\n22824 59563\n52662 74958\n44549 82676\n51109 75392\n38260 59434\n18796 99036\n13128 61272\n13269 40838\n84602 87037\n16980 69425\n57127 87484\n35219 99138\n16403 35447\n52647 67780\n18975 24040\n70550 77846\n10210 72054\n16720 99338\n28411 81698\n44492 62184\n16018 36121\n31004 94108\n43695 77941\n83840 95800\n8816 50776\n49200 98174\n15758 86612\n7710 11565\n42712 59215\n21716 61205\n54820 78944\n18433 82420\n43450 83926\n32516 53109\n58160 79368\n45588 61932\n24162 93541\n8445 19004\n10846 27452\n63902 84067\n34387 91367\n65438 95395\n63356 75548\n39905 51965\n49834 79351\n24057 53815\n6203 8120\n18818 54765\n14117 33082\n18771 98118\n28663 44204\n13960 70508\n34117 80047\n77162 95337\n77241 97490\n4930 11746\n64699 85443\n8955 29917\n13396 84464\n6294 77768\n16588 51218\n37244 38434\n51819 70101\n24531 40560\n3487 26043\n56086 97772\n5851 9438\n17904 53698\n15504 43144\n2318 28387\n64690 90908\n20135 97250\n27692 32497\n14257 14539\n26082 59893\n46997 47365\n7679 26084\n46277 99403\n42065 75412\n41273 47650\n13090 14350\n3375 56988\n8838 55419\n4060 79882\n61246 78549\n28663 68079\n46975 92289\n39802 68438\n19456 60443\n8757 27157\n77588 89429\n15842 76753\n23361 93407\n2186 41387\n4009 55448\n7917 9630\n30840 92671\n60838 67593\n39031 69901\n46567 68277\n21155 95554\n29044 46722\n12198 40486\n40610 61644\n7646 63872\n37707 50490\n8430 14761\n41061 48379\n46257 70056\n44422 78648\n2337 16574\n68 12726\n45605 84700\n59862 80352\n69053 76006\n90989 93738\n49127 73532\n56484 61590\n79105 95960\n22336 41474\n21922 23286\n82756 98133\n48323 56830\n258 81230\n17340 46504\n31811 78614\n48958 89837\n2832 27846\n62773 71030\n2785 16263\n84457 91911\n15159 86982\n53973 62317\n5157 46253\n22009 53071\n9426 12904\n10954 29631\n66578 96211\n35568 39341\n69373 79517\n33752 66840\n46616 94264\n46732 47834\n31851 60121\n66861 77664\n9478 55286\n36807 55681\n55407 99928\n33580 33717\n25347 70414\n3549 86777\n11095 38591\n61818 90555\n70480 71490\n62035 95252\n45192 72432\n20930 46114\n26465 77226\n42270 68947\n69700 76115\n34666 58291\n9629 79975\n62386 88070\n45960 71929\n1267 92419\n4162 47277\n39632 90569\n58613 82417\n36684 86538\n6879 89520\n10830 22924\n24584 74895\n33492 54031\n24928 57459\n53076 73286\n26553 41795\n5896 67319\n61342 99798\n15878 63221\n52124 54000\n14325 89400\n87756 93912\n17677 85288\n7775 12487\n25088 56272\n56106 94953\n7241 73673\n45157 53381\n59464 94998\n3729 41295\n22601 28625\n60730 65299\n33544 34892\n3060 42288\n11457 87993\n57536 60270\n51774 79300\n9670 12055\n24608 84886\n56973 82786\n53025 74227\n16080 87369\n9145 21031\n28200 87648\n16448 87775\n2933 18300\n14985 34817\n52116 83175\n44429 81515\n46930 72184\n42800 47106\n26777 83739\n18385 80613\n61419 98953\n227 61253\n18346 33889\n10980 30098\n36809 87421\n10394 18721\n68130 78524\n33619 91056\n66461 89754\n11052 71711\n33085 65931\n27931 50626\n16900 69342\n21215 68880\n42723 58821\n14744 84505\n33723 47520\n20541 76715\n37890 81981\n16347 24878\n86776 98992\n23786 26916\n15 94946\n14450 55312\n19510 65535\n19211 78754\n71346 77952\n45189 59911\n26203 87953\n22960 46474\n8431 28399\n21632 85576\n36438 37891\n33100 53208\n88494 93690\n30470 69406\n6328 83308\n18620 74790\n22238 30426\n7641 66995\n52993 90527\n15077 53568\n18634 57634\n37606 57105\n28443 48297\n31934 54943\n32354 86771\n64499 96108\n16911 26705\n15518 19240\n4051 80853\n4111 17113\n24866 80855\n49386 52861\n60993 95665\n79276 96856\n21349 33270\n20220 38846\n40315 82568\n24850 56609\n30956 80999\n26159 98674\n66383 90326\n6847 32522\n52482 76831\n59860 94630\n6217 39359\n63111 72310\n31788 82164\n12506 20883\n12539 41824\n34211 51090\n20916 96656\n44788 44818\n60149 85331\n28323 94808\n29409 90082\n2194 81654\n46680 66574\n21620 78300\n16699 85723\n54828 95735\n9636 58219\n43112 57685\n34546 63024\n31376 78565\n48321 83276\n69231 76227\n57330 80270\n21039 98328\n72143 72698\n42580 59715\n86610 95771\n29635 89368\n16102 59325\n43362 74112\n55206 80636\n32527 44151\n9054 74355\n53956 72012\n42106 52132\n38006 58485\n36802 45068\n4054 12589\n25635 69650\n25318 91045\n28995 34721\n56536 61601\n42180 68597\n19282 38450\n16758 46141\n8806 70634\n30165 37461\n25584 54599\n22960 50521\n26817 57589\n47890 53492\n14961 79933\n1014 76392\n10928 91032\n18082 81940\n24844 34136\n14803 73298\n31140 74820\n8872 15990\n12422 13821\n83003 94597\n1859 15504\n67511 74628\n15298 64721\n6266 19656\n6032 53269\n53010 95317\n70065 84476\n27228 62055\n4998 21319\n56326 87875\n727 64164\n29618 60407\n22947 78026\n23133 64310\n12409 51900\n12427 66667\n60905 81704\n17843 68365\n4367 23874\n33860 51072\n19920 55674\n39339 55205\n40830 47389\n92663 95978\n24862 60476\n42090 50363\n27635 33548\n22718 87021\n12781 44860\n97091 97202\n92106 94144\n27142 35650\n17462 84658\n18156 35132\n26628 94778\n28830 86097\n65948 82986\n5717 39454\n37706 79063\n58068 90349\n9429 72048\n40484 57880\n28764 29447\n2590 88224\n43672 84717\n10368 97664\n16234 28028\n46163 53148\n59341 76041\n14100 55992\n30140 90483\n90308 95818\n84988 87708\n86202 87088\n24987 34773\n51234 56679\n12488 79855\n38572 58266\n8598 24398\n28356 32160\n7094 53077\n61204 96943\n24695 55591\n84273 97322\n84736 97637\n5646 33439\n62902 65955\n11550 79772\n60416 94021\n6807 61799\n14976 81230\n81002 99564\n12830 78712\n22666 29904\n43935 82548\n51524 94582\n52664 99912\n17643 98852\n68059 81298\n2993 53933\n63474 67860\n44297 89271\n22416 68926\n19598 59790\n2010 49162\n56391 60465\n13563 15406\n78244 99345\n48916 74521\n28443 91166\n30256 42144\n13611 72469\n2640 30140\n58264 75438\n27332 37294\n34538 96071\n43528 51271\n24800 78951\n15779 36246\n12410 49584\n62701 63842\n21053 58779\n29025 67017\n22372 88320\n45351 66360\n37974 95958\n66410 95131\n8828 13430\n11893 23739\n557 56583\n4659 36475\n33448 66675\n29170 39790\n24954 33399\n61011 66293\n989 91138\n9460 25775\n59153 75082\n321 65693\n4873 99401\n40741 98496\n50613 91105\n12730 64008\n72437 93218\n66340 73206\n13687 26426\n22141 64327\n5 98058\n90421 99791\n70935 95788\n66791 76600\n64091 84063\n3478 62734\n48460 69321\n60624 64838\n67477 99760\n43602 75920\n18703 42755\n28757 62524\n83137 92064\n63239 87320\n34042 65305\n24276 63274\n6434 20093\n21876 74002\n79337 94434\n6942 18172\n15394 19777\n24020 38781\n35708 70590\n3278 93877\n11256 39956\n5535 64888\n8281 42114\n23840 79417\n3896 41147\n15584 94466\n88835 96414\n28522 80745\n7841 37106\n25545 72358\n30909 71348\n29172 96125\n5898 90512\n88238 96931\n15244 46416\n47260 97827\n13648 59265\n23434 82739\n38751 44682\n28977 83118\n7578 56777\n38189 90904\n1389 61552\n82714 83736\n66025 69186\n23438 64619\n64601 85160\n2178 55432\n18893 44464\n47568 93839\n29782 77783\n58251 65438\n51235 63682\n31915 69496\n2743 76133\n74079 79590\n17234 51251\n14117 18591\n20021 24368\n96756 98528\n4085 96567\n32297 37139\n42505 93116\n78105 95461\n61367 97705\n27122 36019\n34822 47347\n60506 67217\n42919 52217\n37745 64982\n29384 88969\n25418 59169\n8507 99741\n40649 71905\n3690 4241\n61064 73769\n46352 83798\n3096 61198\n40724 64065\n47927 82084\n41153 71545\n48128 55830\n14207 68380\n30567 74064\n11422 72674\n38957 52581\n54593 93642\n10338 82740\n7822 31975\n29086 77351\n29842 51491\n32336 90604\n60457 84092\n65929 87103\n29205 35265\n37405 46223\n86596 92830\n12810 80316\n13239 40398\n50195 61635\n11940 87551\n7800 47063\n5559 30842\n25650 95047\n15872 69880\n33888 34122\n4040 51947\n44742 94233\n1971 2295\n39714 66250\n5057 92507\n16435 96253\n6474 93747\n64608 93666\n20210 99795\n5825 83319\n13072 76764\n8679 41145\n20312 98943\n57210 90157\n45359 56491\n18963 41959\n77788 97155\n42901 50882\n81472 99081\n23654 83497\n28669 56817\n47973 85209\n21520 85611\n28863 76747\n6133 16400\n59954 80354\n19459 31173\n36863 62427\n25663 89536\n36528 69220\n8161 33289\n58293 66089\n30631 74817\n87060 87501\n49120 54293\n8010 95062\n18182 99239\n3041 26153\n11208 42329\n56920 90909\n70429 89470\n52800 66093\n22269 32658\n3583 8230\n27499 27766\n32166 93227\n56894 68879\n5772 27736\n44575 74908\n67622 99568\n70168 85403\n73953 93322\n9509 31280\n37396 70390\n28144 58242\n85743 86741\n32701 41244\n5310 59701\n43868 61364\n51838 71061\n5142 8323\n26468 32809\n6512 74916\n14576 69559\n23969 82682\n74682 97219\n14635 82559\n48985 99244\n8940 28754\n5783 51442\n18111 91933\n65768 80975\n72510 81752\n35287 84043\n50817 68314\n3403 24378\n332 88271\n59165 94731\n81612 86742\n59092 87082\n12341 97467\n25748 96675\n69546 90809\n7102 58066\n51377 93783\n54378 66837\n22287 35196\n42278 61570\n34051 48933\n66022 77559\n67411 89377\n36855 87891\n51849 72464\n5326 95031\n5122 26041\n14985 46130\n39279 81927\n14781 93894\n8025 41298\n73502 89319\n38302 79326\n58434 97113\n32510 42284\n48044 67141\n54732 62920\n7084 66407\n20592 92432\n48914 49228\n62927 85430\n2114 80232\n29525 88899\n13089 50462\n33585 46571\n66590 76710\n57190 71984\n43534 93882\n69 9635\n41614 48309\n34655 71545\n5260 83466\n20546 89752\n4170 13368\n41762 70585\n7525 75584\n3990 44869\n407 21504\n18064 76645\n33496 99269\n1070 1704\n51519 57333\n34235 64487\n26803 85756\n7368 58975\n49697 91842\n24539 55979\n16757 76472\n23480 92806\n35827 46511\n43854 53009\n1576 17751\n45294 57418\n95919 96687\n64528 71549\n36321 93540\n47842 75324\n1632 89410\n45983 74008\n54276 68687\n22142 96976\n24977 30322\n67568 94258\n3528 19257\n15388 48556\n4792 75165\n11253 97953\n14218 55568\n69531 86695\n27319 61104\n28896 98875\n12455 82768\n56592 99411\n18619 68669\n34647 66001\n33100 74845\n39787 78400\n10895 28758\n62019 90606\n2386 39972\n26688 74536\n8917 18215\n36648 85585\n5007 52587\n14000 20990\n53468 98654\n29368 96180\n14551 51115\n30876 89001\n49076 87832\n64921 85472\n4981 5353\n446 37239\n75390 96980\n80519 91554\n13434 52902\n38332 74101\n47812 61891\n69127 84737\n75848 87071\n48004 60480\n58683 91828\n260 40913\n19707 36715\n44870 95162\n47349 79309\n26350 92345\n22971 27222\n11216 76631\n66328 94707\n57907 67224\n44825 68011\n13021 29771\n2238 44234\n3431 8486\n45567 59184\n3798 87959\n20317 47401\n3707 91606\n19208 82781\n15510 34886\n14745 75139\n82463 88161\n45324 83515\n10102 56084\n10842 17668\n1051 86635\n24414 88485\n40192 42788\n32767 76236\n34707 69008\n11551 80698\n70564 98346\n5981 57585\n60567 62520\n35014 35435\n22737 55770\n22840 36365\n22823 44548\n62942 64335\n22677 91362\n84666 90422\n28134 69651\n29654 56279\n45781 55796\n18306 55333\n19200 39924\n82497 90219\n4695 10155\n17945 21015\n76889 83159\n34987 51416\n51407 68550\n73082 87770\n31934 63529\n34277 37271\n50680 79553\n38544 79824\n24915 56845\n63372 85781\n1867 72954\n53574 99263\n26782 63700\n20766 68029\n15897 24122\n24451 52768\n59177 61830\n74943 99318\n3438 83674\n11403 91450\n33983 40423\n32468 91988\n64510 79239\n66408 90364\n40347 50598\n40540 96250\n46302 68553\n83937 95576\n35825 98047\n28766 38920\n20898 75076\n40618 70218\n29987 95000\n39709 50450\n6510 48136\n64282 93774\n65567 87591\n39218 67206\n75515 99642\n12891 41328\n1585 95371\n13624 96480\n88003 91826\n26064 30411\n51151 75024\n32280 92748\n27542 79897\n21280 69893\n10181 84738\n20161 97037\n65899 80676\n6418 94899\n40411 95274\n59360 89925\n18530 22882\n64254 90644\n38065 82530\n4470 76532\n29942 80762\n17786 35977\n47864 58608\n65044 98934\n22452 36483\n42315 48100\n21158 83547\n8867 67626\n37693 79784\n37420 90952\n39804 76247\n27443 70357\n27268 79304\n17201 44836\n93055 97859\n8599 50729\n20799 30530\n65557 78582\n58959 82266\n13249 87265\n23245 24745\n9325 21636\n91682 96052\n36717 80126\n88396 98035\n17596 86594\n70244 71850\n9737 35400\n9518 87895\n90320 90472\n60080 73941\n50981 87109\n3036 41337\n39660 63799\n9125 83963\n20797 64114\n64019 67603\n26079 37834\n27302 48409\n15014 36961\n43862 59702\n5436 55608\n19782 50332\n55444 76359\n1814 71207\n45321 79557\n2736 64678\n8022 95480\n18924 23749\n64670 77047\n47753 67389\n40935 95080\n24267 31033\n92248 97129\n22548 85841\n12420 28120\n19820 58344\n34055 95378\n18719 50468\n10487 48084\n23144 84801\n54663 81424\n56273 57736\n18674 19684\n21387 95535\n92148 95625\n1455 76624\n35946 57496\n10700 36197\n7231 81610\n50306 95991\n18644 45719\n26891 76912\n46101 74074\n27516 60686\n16372 68403\n59550 74964\n59430 61675\n21866 29926\n7922 44633\n23199 59429\n46603 63613\n72530 86924\n17077 36338\n43423 70177\n7046 49455\n5280 73349\n18 92380\n57898 70003\n6981 74089\n55081 82685\n29585 48374\n23383 44693\n24396 49501\n33395 88539\n13164 72069\n38974 84059\n4514 73546\n31566 50552\n69102 85866\n18874 69718\n25981 35366\n49170 54806\n8753 26634\n8453 37498\n42099 83400\n36671 65385\n30736 70641\n11840 26807\n55599 66129\n27999 68180\n26450 73614\n62761 75881\n17430 66401\n17914 45609\n27944 96546\n38547 39926\n49224 73745\n53424 72401\n4897 45783\n11180 24883\n9950 83624\n464 4024\n23068 52810\n29967 71723\n14914 76989\n53295 81155\n56063 79294\n4983 51048\n46223 47212\n56636 96329\n27803 91175\n65667 76161\n39772 68977\n51870 64442\n40679 89198\n13630 88457\n26740 81222\n6842 41765\n54015 60966\n57508 80536\n62849 89102\n1944 56356\n3498 97077\n79840 94714\n36711 67811\n50536 72108\n51734 59728\n14029 52839\n20827 53179\n61203 99263\n28307 36422\n20419 88090\n68205 83311\n32782 85726\n23748 87253\n22115 71617\n8503 80371\n46921 98383\n50719 54728\n45044 61930\n68253 86298\n40051 76710\n4831 29566\n29101 46530\n15145 65347\n20424 89898\n10193 79821\n391 38041\n25141 26267\n53139 98429\n10019 46017\n71866 89164\n16535 38705\n80892 93030\n20430 31586\n42073 94631\n6797 7003\n59281 94511\n49622 86185\n17129 75128\n24380 76537\n50886 54892\n34243 41025\n58712 60308\n40213 87803\n33494 47915\n52421 88752\n45918 87943\n12150 58223\n84320 96286\n13732 86199\n28067 42891\n67919 68273\n12984 92430\n7265 36934\n27079 51896\n4972 42284\n28697 72968\n21695 89573\n22196 81232\n63615 77697\n19919 51233\n33053 70493\n28657 47130\n6453 40965\n57102 60191\n14153 82801\n1158 11300\n50433 78773\n38116 39652\n57826 63111\n24668 93009\n70742 92517\n53346 67383\n64174 99062\n65118 82450\n7985 40609\n74802 76710\n45555 82225\n399 80192\n4457 49548\n48325 97740\n15428 92425\n47701 50497\n42116 53740\n21514 35341\n35816 44197\n57234 94415\n94922 96450\n12762 82325\n17429 41137\n46768 68087\n35379 91196\n45181 86764\n38409 88980\n68893 72858\n26107 41706\n25996 74142\n28556 46503\n19138 49597\n1164 59092\n83038 95657\n16218 99436\n224 32586\n28228 32493\n47540 98813\n54529 92487\n72866 87815\n29468 74942\n50654 58452\n2022 58557\n447 21846\n8291 76440\n2727 92418\n39243 68625\n17079 59501\n1622 80977\n64934 67086\n37516 87319\n34595 64771\n29933 43825\n8130 74767\n43870 57525\n3298 66131\n365 69011\n7823 66925\n49631 60228\n8693 52710\n40744 45001\n57802 73095\n14849 65045\n69020 88461\n62024 64778\n54241 66758\n39094 39827\n34834 38331\n21422 45812\n33041 65600\n20711 74942\n52461 76854\n66322 68906\n12632 45505\n25665 26790\n18240 88084\n32220 50415\n19651 39408\n6260 95104\n19892 54450\n47544 99346\n74266 84822\n13397 26222\n24595 77811\n10006 30054\n41821 44318\n22705 29753\n8556 86768\n68978 79474\n69446 88926\n5174 35409\n9152 14942\n2197 30278\n30821 77908\n15423 55228\n21157 49606\n82516 90069\n15261 81916\n11593 24059\n1510 90471\n54426 62680\n52894 79803\n31650 33644\n9935 99827\n4618 63932\n63524 75804\n66554 67548\n7486 91489\n6274 83257\n10420 78453\n72530 95864\n11563 99691\n39651 65969\n52856 65184\n17248 57475\n10919 13384\n38106 99373\n22024 97289\n1533 32835\n87338 97078\n68288 71387\n40098 59813\n24355 39440\n48232 76626\n12132 41085\n48097 71622\n28841 99665\n64496 79445\n26942 96665\n20231 54054\n60750 70097\n38442 47285\n47982 56625\n9317 31671\n30843 98554\n45333 64153\n20851 76325\n12359 99483\n13737 68457\n39774 74452\n52865 86928\n10933 63564\n6026 99293\n51530 73140\n4881 67657\n3921 78181\n31717 56153\n31829 66665\n32688 88786\n59125 80973\n84379 97822\n5136 28905\n75048 85154\n13486 27114\n17660 47528\n22068 51801\n15340 58555\n11147 73858\n42314 51990\n70471 85659\n12068 22337\n32217 75417\n15902 77998\n7716 53924\n27216 98801\n71559 80667\n75107 77662\n31096 45687\n90659 98398\n15286 24198\n14875 84781\n30136 48023\n28276 29178\n16441 69838\n8106 62837\n68144 75106\n7984 45715\n20855 66700\n19750 95231\n1701 44273\n38968 85669\n21701 34355\n12919 58253\n24930 42109\n24463 39280\n24656 24702\n29422 79072\n9793 50786\n73023 76616\n26589 27792\n30390 65745\n51798 62287\n4461 16708\n767 31999\n25405 58183\n41843 65692\n45357 56464\n2883 63959\n15884 94501\n77857 86749\n223 65621\n56558 72917\n9792 14459\n16956 80133\n15467 77243\n6022 6827\n75574 75577\n2491 29016\n16547 63208\n1176 8110\n10954 55420\n44236 67323\n42825 57441\n20481 58138\n32394 51657\n22143 54449\n30103 53262\n21940 45740\n33048 49498\n75413 94808\n27703 34516\n16564 92625\n33590 86236\n69555 89445\n21957 75995\n12690 99306\n2088 53755\n33392 81468\n65419 88332\n20073 88695\n28853 47654\n19701 54323\n9470 75802\n3754 26104\n22236 88989\n50154 87323\n76593 88999\n25187 88464\n30362 97360\n42546 51106\n7065 91413\n23656 60816\n48664 95711\n56818 89811\n5781 28550\n15588 83919\n46912 65591\n29925 68890\n39486 81968\n34801 98382\n5029 26367\n46942 91682\n44644 74511\n13918 34490\n46700 66977\n15299 45540\n57263 92959\n67798 96674\n66774 68643\n34062 78202\n14493 97600\n77427 87839\n7054 19929\n30039 76884\n18664 70195\n44057 57350\n4426 47872\n37943 66741\n43409 75346\n45925 79945\n32190 68816\n23655 45613\n25989 97275\n41148 46198\n78842 81202\n60855 72284\n9868 51022\n1827 58231\n58319 72255\n78151 92213\n5339 22090\n77353 80783\n547 72218\n2167 24359\n58346 96082\n80199 85076\n48963 94204\n53287 79563\n64934 86853\n1804 90705\n36676 48590\n40254 44441\n2655 71742\n39102 84988\n49697 58166\n4056 14488\n19257 60685\n18230 99636\n19773 25591\n5801 75456\n3826 55362\n45973 97709\n5528 87323\n66875 82660\n17927 37799\n32695 82263\n808 11742\n31500 78768\n42528 84026\n40193 55388\n59074 94000\n61806 88964\n15566 32057\n75810 76857\n60077 73261\n63507 77036\n16561 49596\n23202 45608\n19635 25165\n55232 66679\n16428 91130\n19927 57329\n49987 93229\n79430 81041\n16669 50955\n36442 70727\n58543 96604\n546 2473\n31723 41351\n11855 49632\n29296 55639\n52025 81629\n15024 46953\n61184 78474\n53181 61349\n30378 78069\n5745 69855\n25515 28073\n5140 47987\n69977 98650\n570 69118\n55360 66378\n30139 54166\n62485 82902\n8828 22246\n54308 94453\n66028 79660\n70218 72341\n37396 60517\n39480 59018\n11576 63061\n27938 64570\n59559 71171\n40941 96884\n48923 55125\n55202 63023\n71247 96743\n17221 61891\n10026 52711\n7991 80208\n16624 46831\n20955 64522\n8753 19288\n53783 92658\n24819 87458\n59012 77246\n12136 66430\n63613 99634\n17382 35965\n32114 32580\n38060 59281\n23820 32446\n44628 62129\n12833 77235\n54975 85786\n12219 53834\n22384 78182\n16052 54854\n13168 41133\n5676 63997\n31657 78394\n2144 61568\n66151 86971\n12619 36588\n65007 74636\n1132 1344\n41241 72098\n42016 74795\n23694 28028\n25216 92032\n46921 48575\n36961 37241\n49442 65048\n28866 29662\n32 14724\n49277 73007\n25005 72056\n2013 81745\n50331 97756\n25601 34069\n19401 39315\n76408 98251\n60451 91295\n75896 96691\n27605 87034\n23736 25292\n6576 29067\n76912 98384\n32944 70255\n1083 50504\n3741 16592\n16114 20347\n7662 11729\n70352 86868\n10118 48541\n17337 29279\n51119 93688\n67850 92286\n196 85261\n28762 98931\n87135 95580\n21153 66132\n82935 97575\n50603 51154\n75027 87495\n14285 44339\n92138 95132\n2583 32785\n4955 95688\n57193 94253\n5270 65787\n65283 93606\n65731 75291\n4491 27681\n56122 64033\n33028 74534\n5197 91513\n1163 94570\n57154 96688\n68136 93222\n75571 96095\n6754 14326\n29987 82117\n36571 87504\n98229 99360\n47538 88492\n62880 87704\n94166 96505\n13276 15776\n38704 97335\n42972 74794\n5803 52021\n869 81243\n3814 28109\n30884 64494\n8800 65543\n34391 74176\n64515 95856\n38857 63138\n77787 85042\n10350 89042\n10173 26462\n7250 88833\n60471 85063\n80432 99637\n13221 84858\n6723 53087\n51609 59811\n25463 79253\n73959 90527\n22610 62921\n24133 63423\n24546 86405\n21446 24442\n32946 51238\n41834 87358\n81612 82082\n35800 69712\n36512 50839\n44580 48233\n24697 93821\n17897 25836\n425 25234\n97228 99120\n18075 75386\n55144 58824\n40526 44720\n64533 65972\n6739 40530\n23430 93425\n75811 89580\n77290 98124\n16477 91724\n22738 39276\n8347 92951\n19085 53122\n11075 65869\n19981 52583\n55925 73085\n46059 84696\n18165 65268\n43531 93752\n58210 88477\n88918 96538\n51137 62734\n75189 80527\n9114 47558\n7784 84521\n27117 31803\n49084 95732\n18785 50099\n55373 55449\n62473 94621\n16798 18896\n31272 96067\n26707 32620\n59483 74579\n46537 79285\n39082 44851\n71451 84147\n18825 77251\n46308 65447\n60759 77188\n25229 75913\n2985 5772\n8116 64812\n37016 83599\n36820 61357\n79404 97944\n18153 47097\n24927 47083\n5637 88880\n67471 87020\n54785 61701\n31367 54731\n41930 72051\n33524 90480\n36210 94592\n32849 44908\n38523 83186\n40566 99285\n22522 42829\n38319 41857\n33451 64567\n72628 82915\n50240 68644\n45848 58023\n38926 95842\n9631 61873\n28982 33173\n67594 76918\n62867 82873\n71607 75942\n9449 72238\n59715 79734\n13188 52630\n17653 41076\n9950 45975\n51690 82286\n47368 93934\n35293 97097\n34565 35018\n25872 30401\n11124 47716\n47353 94759\n42887 93528\n49005 83067\n6807 67128\n10554 88665\n14910 65537\n54381 96618\n14894 70260\n47518 86687\n68165 81204\n13588 78396\n15859 68584\n10169 34215\n21831 37804\n92323 94638\n18279 37376\n16621 73398\n33458 88400\n51933 97305\n59422 85828\n3857 22433\n9465 86340\n61339 86973\n68145 97682\n43103 49914\n9173 84514\n60372 99845\n29694 90473\n53685 95605\n85085 86914\n28561 82715\n27313 89995\n11970 93837\n51773 55078\n9275 82841\n38047 99492\n21768 33707\n70057 73918\n17405 35790\n20806 32008\n24407 53109\n19181 29302\n64004 69211\n47750 78290\n15783 85056\n5087 88644\n56286 77660\n38688 70342\n10108 88534\n68867 82009\n9139 84808\n40857 93085\n33612 37363\n22169 60542\n38057 66878\n15840 57204\n6978 42127\n12070 28081\n17868 78678\n14306 53757\n1118 21986\n12575 68331\n36733 46153\n45932 56794\n587 63690\n40677 97789\n9205 85278\n9556 51275\n14556 69274\n39416 79628\n27330 37254\n55772 84159\n19254 60908\n6785 18472\n24373 81740\n1624 53565\n14829 74241\n7848 60616\n8995 75969\n47672 56917\n21399 37660\n91719 97753\n48343 66977\n63346 95280\n2303 16193\n50457 99997\n14543 82271\n31785 60459\n11814 29906\n477 90346\n72820 94338\n329 28899\n55938 61547\n48377 72602\n50497 72120\n27097 90266\n17846 24348\n47533 96127\n27440 72440\n19894 97054\n13300 72422\n710 51588\n2247 48553\n85942 97494\n45780 58545\n84208 90924\n27477 90184\n86255 99482\n50321 61056\n68104 71742\n56215 68450\n53439 57868\n19783 25884\n46428 65139\n40336 56418\n33211 73582\n16493 21332\n68356 91944\n83827 86165\n42676 69388\n39919 59384\n18330 84055\n4341 70677\n35643 68310\n21876 89131\n34720 60978\n81240 92743\n6571 14155\n18693 43034\n8549 42548\n22687 57016\n26860 48588\n63779 90249\n40929 63821\n29910 93461\n39150 60397\n19114 44198\n31324 79069\n31474 60889\n5776 68510\n48428 53661\n38821 82798\n63228 65077\n16021 68748\n46064 57046\n18782 48334\n39569 91112\n62741 69618\n46828 52549\n41707 96494\n1520 2734\n44833 54785\n81746 89188\n65416 97788\n14910 38357\n64657 88150\n36441 41739\n76133 98764\n28609 38685\n3516 66096\n15363 91963\n2020 39872\n73542 92674\n81478 82351\n8883 17799\n38766 70633\n9428 94183\n29331 73339\n74336 80010\n60004 77137\n29630 44258\n57082 97567\n33290 73604\n40348 64338\n56126 89069\n54056 91957\n32981 34438\n15627 47496\n57529 75008\n15845 64331\n30611 80028\n6623 25304\n3838 19432\n16956 73565\n79 42903\n39588 73042\n41673 82492\n15756 61530\n37141 90002\n59062 95005\n2572 51503\n34527 75718\n29417 41865\n71347 91694\n22094 79121\n81462 91984\n44453 99978\n69448 76605\n69941 94811\n78573 91071\n33666 72258\n21508 84987\n31190 56726\n10208 92212\n50583 77455\n21786 89491\n78852 79401\n14858 23954\n50394 91071\n3256 18922\n64423 92918\n44167 87618\n69790 87558\n52416 58965\n60547 72751\n54015 97907\n30080 80879\n46693 91087\n82913 91813\n9930 10330\n65527 96310\n12755 78972\n737 81676\n14891 98024\n18369 94482\n63734 89549\n27344 94797\n4242 51015\n40844 69920\n17792 32259\n27576 57758\n1958 49328\n54657 86379\n78203 89320\n7797 10926\n32905 68126\n55651 96345\n35658 95166\n48049 64347\n1784 90553\n2960 45843\n5803 24039\n18162 96755\n19109 88207\n18901 95210\n469 57641\n29640 41220\n3189 42702\n6090 50161\n64001 76497\n2543 88988\n53670 93279\n19448 78993\n3432 47774\n46361 85582\n2087 9454\n83746 95386\n3255 12918\n689 25280\n10323 76257\n57752 67221\n63685 77933\n2741 86587\n54561 68101\n46406 80789\n16573 25822\n69611 86419\n57777 90975\n18672 41522\n77648 90667\n43532 48927\n2160 94127\n17428 79709\n58723 67949\n15481 67576\n5659 95723\n1692 48570\n13013 66897\n57014 90695\n9856 12607\n65790 74371\n29242 54430\n15163 64850\n9620 25855\n6919 56323\n9778 50048\n4106 59665\n74617 89758\n1775 50832\n10749 41597\n15423 81369\n30543 89456\n70927 78337\n2047 43314\n124 24787\n50098 87909\n70827 73671\n77970 87822\n17600 32688\n60720 85862\n49269 60674\n51316 64463\n17285 39528\n39296 90406\n5058 52936\n16612 77020\n4205 53172\n29368 32160\n48813 82653\n8295 89974\n66895 90510\n22579 52752\n42737 50981\n13683 78243\n47634 71809\n8040 19652\n3090 47817\n7482 27594\n94933 97431\n56148 70929\n12960 26059\n27692 80015\n66527 92421\n85528 98178\n37245 89038\n8454 35337\n63252 81203\n64485 92176\n60880 84245\n59630 78553\n69879 74183\n10394 85854\n76327 77259\n1727 6013\n29950 39145\n17047 77218\n36886 67147\n46002 54830\n15572 87465\n65074 89091\n73739 81062\n10024 80013\n44529 68726\n32658 91007\n36383 79028\n11600 54305\n46516 98108\n29362 68325\n68670 69828\n972 69042\n32325 77135\n2938 65784\n41961 53868\n11415 66199\n30034 40020\n18403 89143\n24194 43681\n53100 73779\n22 65665\n44177 65044\n7364 56000\n55188 98920\n16898 99700\n20261 64108\n67955 69348\n6404 89492\n16237 73120\n31702 72426\n2387 88132\n4675 64732\n41193 59150\n15504 86883\n64307 97579\n25503 64522\n76871 99382\n39056 74112\n51888 72431\n32842 73569\n82429 85935\n42040 83198\n49308 98093\n6916 67697\n88739 88908\n20417 79099\n14539 51488\n11254 85028\n33856 49352\n48235 59847\n48933 63681\n75467 83650\n25469 29212\n2528 38175\n54457 68217\n34079 88698\n30920 77734\n46911 63334\n28116 28525\n12622 15302\n12196 17197\n67229 96728\n19474 37908\n1125 97973\n29387 86514\n40209 42186\n16148 33399\n53811 69451\n35877 89855\n32970 36556\n23879 39855\n6444 75576\n24903 66016\n33024 63526\n38143 68156\n58578 64980\n23357 34936\n15374 45064\n10463 69385\n43411 91315\n48102 97746\n40108 85680\n30710 76601\n5496 59153\n47314 57049\n63249 90937\n15308 70532\n5832 51473\n34871 68616\n13312 59144\n13072 22928\n32801 69409\n17698 39209\n33367 79750\n13963 77660\n67423 71253\n7135 44975\n9940 27368\n71928 94194\n53464 85213\n5688 15916\n67271 90420\n81857 97506\n26364 40958\n66853 77465\n7287 25735\n27880 56776\n36685 44865\n53864 89855\n39868 44308\n50406 95765\n22538 33805\n46800 91215\n87557 88960\n39134 66049\n8751 66714\n14761 18509\n52655 55957\n13397 55170\n61363 67428\n16684 88452\n64460 67582\n73686 76197\n62725 82207\n373 29259\n10237 36704\n64964 93125\n50873 65035\n19636 25585\n2295 93698\n13275 93906\n47659 65827\n24033 29937\n75600 86707\n37270 74078\n29965 55855\n49794 74356\n61843 79689\n69730 88232\n5462 43149\n11148 26506\n77170 96688\n81902 98641\n22456 60745\n52775 71394\n12022 74709\n2624 79387\n4797 73919\n39185 56761\n15027 47954\n25704 57586\n69183 97949\n52545 83293\n16012 33895\n54355 70392\n20947 34424\n31176 72354\n43122 50906\n3564 84402\n25329 31057\n13042 54795\n34307 88632\n31061 31096\n9846 49014\n36465 66345\n32590 37067\n22928 37172\n22755 95314\n46369 88661\n21935 71904\n2407 91849\n36372 71275\n25896 68958\n3615 91377\n25092 28749\n2287 26491\n30667 53952\n4989 72507\n83019 86281\n21046 67812\n24331 48951\n59682 67247\n15954 26271\n30372 65620\n29181 33213\n4580 52550\n16591 31576\n11053 61623\n41556 88115\n8149 43974\n20037 55434\n59509 90328\n45444 84289\n67780 71915\n50846 83097\n3940 31689\n56014 71190\n17465 48724\n55822 72217\n12249 48711\n6414 68943\n11470 44918\n20593 52469\n63148 94934\n31462 38020\n15758 65264\n58786 75971\n33061 63019\n75680 82151\n3419 69234\n52872 96515\n13756 22371\n7944 85048\n59196 79120\n66812 75522\n56244 89896\n44069 61436\n68405 75347\n34842 63937\n24615 82472\n42227 46943\n78702 99004\n23028 45789\n57634 61950\n28700 63896\n36847 42383\n14813 89810\n7846 18964\n75808 76795\n50714 91361\n36277 38791\n64408 67346\n7164 54762\n15819 41545\n54922 76508\n26375 55258\n17929 62146\n63291 86334\n15740 28149\n15559 51895\n7438 90787\n11467 30130\n47117 89077\n37307 55133\n3461 20371\n11549 27415\n84674 94783\n5374 67246\n32200 51479\n3729 95951\n54572 59312\n56007 62784\n78050 90658\n64552 97844\n37644 68901\n40438 52958\n36433 88892\n65600 88439\n33847 56508\n55078 78662\n6297 16844\n30450 90333\n9731 87245\n22473 97864\n85244 99720\n62999 91222\n26096 48404\n8594 51237\n60175 91644\n75841 91110\n44352 65853\n18540 82059\n50925 92558\n18910 46963\n55755 68117\n31050 38593\n40813 49937\n54937 62053\n31516 70070\n121 52477\n5891 65493\n6840 85819\n28808 46440\n26053 67114\n21104 24621\n46798 63119\n33137 89595\n6758 94993\n31381 70751\n58901 84148\n48215 51374\n15775 40564\n17746 53199\n26150 40320\n28991 59144\n77655 96289\n12085 60381\n57178 62103\n27675 30519\n21395 68791\n2590 93709\n9016 94132\n4990 38065\n54622 84340\n72701 86730\n60032 96958\n6659 98894\n8958 44423\n20985 72613\n29830 93125\n9651 76802\n62279 95284\n36053 45969\n66546 79682\n40358 93214\n24880 99858\n48521 73506\n4804 13104\n18223 48126\n36699 93087\n60506 97976\n39476 50133\n34390 85070\n58095 95621\n7219 86807\n4513 7405\n60805 61439\n28538 39522\n44107 93795\n1173 8881\n51955 65883\n30989 64927\n24944 45822\n4842 39724\n76047 87886\n83016 85120\n31412 97555\n21199 46018\n9582 18734\n19995 99301\n41365 82155\n59677 94509\n36441 90894\n12927 79743\n27000 38556\n30934 79042\n58382 75486\n11439 71604\n10440 32242\n31835 98264\n38037 84105\n57268 61268\n18342 63730\n64767 74430\n15610 60464\n60839 85157\n12184 34759\n647 31551\n54865 84645\n22368 80520\n7875 78973\n21379 88248\n49838 84739\n35362 95728\n47198 87303\n18677 51267\n12297 74922\n41557 69534\n50735 69603\n21615 76345\n21148 94081\n4818 50681\n17293 19687\n3215 47433\n17135 33057\n20193 28082\n53863 90713\n47950 81366\n48354 98283\n860 51131\n8223 47608\n66276 81160\n2294 68293\n50005 60068\n43739 63861\n29092 35009\n2180 83383\n64937 96783\n43754 65727\n21918 81124\n11714 71185\n28903 70429\n24146 96991\n41874 80365\n29559 47022\n16776 97842\n35803 35929\n19261 52541\n16419 92779\n51592 71232\n16594 60753\n42022 90923\n53822 62320\n2001 42957\n15059 63700\n69283 93041\n12224 13802\n7325 65826\n46656 69286\n2652 68570\n53097 67821\n39569 93010\n31502 95731\n44046 79926\n73328 93402\n72480 96122\n2140 82264\n7618 24256\n70656 72813\n13320 57673\n19498 78138\n14847 67742\n64484 65032\n70005 97762\n12926 41525\n20347 33470\n30340 77691\n15652 50206\n32119 88887\n2594 66781\n79860 83727\n17945 70355\n67869 88677\n697 75644\n73646 89970\n30089 38917\n25859 96202\n8509 54434\n53060 70417\n4876 8762\n62636 87161\n45478 90717\n41296 74459\n32774 77659\n32804 96190\n30580 83312\n1169 56322\n21744 49071\n39933 63647\n6358 13657\n56589 80030\n9902 18011\n79695 96057\n68354 77020\n75485 76912\n38759 81355\n15813 30097\n54067 84270\n93252 93685\n5847 56886\n26815 76803\n67415 83801\n68162 92673\n28212 72086\n23089 43365\n22357 87345\n1131 52196\n32700 95388\n43984 45742\n31645 74157\n29169 69912\n15500 25897\n53477 56189\n16038 64765\n7160 70571\n21337 27150\n41655 42743\n43278 90734\n16544 51141\n21626 71360\n23489 92802\n84003 86977\n92322 94135\n85787 86203\n30054 35670\n43955 62701\n62516 86309\n40443 42878\n59976 99474\n36707 38574\n17756 53588\n46119 88776\n91650 98708\n47216 94157\n33613 88674\n17824 96910\n17748 34488\n28402 82590\n434 50436\n18599 74096\n65816 73051\n8891 13683\n27913 45160\n7486 90220\n29870 58564\n6095 78437\n7013 39657\n59911 90861\n29850 74275\n59986 84088\n52355 70218\n18550 98316\n1103 40635\n49340 77533\n56479 87711\n3542 59253\n57594 95449\n902 3121\n30972 84254\n5918 88820\n30 93022\n10916 80878\n3287 22879\n49477 73352\n7843 99996\n16482 62710\n55862 87167\n32761 43021\n12905 93656\n24391 31077\n27175 61056\n55975 87614\n46712 77238\n25990 40317\n26837 50882\n9247 92364\n74411 74451\n9788 78061\n33609 43795\n48915 60716\n32667 36433\n3967 49703\n7618 76600\n8493 34535\n6049 76681\n36018 86651\n46945 52499\n4360 51073\n10774 11100\n71917 96567\n53742 94891\n35626 88819\n44630 68969\n46095 74637\n29147 85034\n57905 93938\n32958 79748\n31563 50329\n5614 22479\n8405 49596\n88605 92673\n40924 98112\n44578 62504\n34149 92058\n49127 61121\n44092 84525\n56495 60683\n74879 96091\n9778 55791\n3687 22907\n23508 70009\n9255 14816\n32383 89501\n67851 88953\n25165 48699\n25978 86799\n58876 90723\n25228 99837\n8443 86333\n10445 25362\n82637 92811\n29320 40228\n42228 71295\n40988 89755\n76480 81223\n32223 84475\n43319 44176\n19961 65362\n26795 41992\n9760 36621\n35938 63443\n77809 99229\n35362 94053\n17952 89986\n11154 40169\n18290 28259\n13560 39914\n9079 99879\n23029 27246\n23352 48877\n41016 66628\n4164 90471\n29473 97940\n23851 64610\n33043 73723\n53953 78880\n28179 40844\n95107 98612\n41638 49670\n21395 31697\n49852 95139\n21079 69193\n27574 97273\n52651 61220\n64201 77421\n1380 42974\n9187 39482\n25772 88646\n6525 84197\n34163 34844\n56334 99621\n27423 92571\n93568 94585\n36457 50157\n717 34086\n28706 85048\n60940 76506\n22142 96304\n16868 95942\n9462 17062\n15474 95953\n16565 26734\n30611 33303\n74718 77336\n62686 76690\n11272 98063\n45864 51326\n69557 87509\n42304 57379\n35183 93350\n63460 72043\n20839 67898\n5025 98922\n59668 82948\n36328 61002\n29590 87678\n24983 25542\n968 86130\n24565 66212\n61125 64805\n3597 59127\n37735 40663\n25420 58533\n82847 96860\n30357 84457\n1775 69988\n8927 94703\n63565 95305\n20076 59144\n2800 79412\n22980 33863\n40434 42657\n15124 89529\n63399 76068\n20161 64064\n22650 61491\n75416 76921\n15493 19513\n11955 22310\n37618 41058\n42137 49302\n43326 64144\n7884 41813\n16321 49795\n27076 63967\n2548 61919\n729 26461\n11436 88722\n65721 99676\n40209 67056\n24112 81845\n78078 99438\n16701 83835\n51129 71802\n81996 87153\n42966 76893\n74419 81237\n1234 87995\n181 44621\n596 92800\n30107 47710\n63736 64061\n17150 57099\n36620 68299\n34368 46992\n28774 31579\n52795 96506\n25060 88895\n63431 85577\n50366 90724\n48968 64439\n49896 64394\n48925 80567\n52812 88563\n61797 77318\n20956 80037\n58515 70934\n43310 88865\n64700 77937\n53701 98222\n14379 34384\n35330 60508\n28546 55819\n29351 76001\n5920 31072\n64656 97217\n2183 62118\n39094 69355\n31760 70485\n27215 47027\n679 85577\n19826 54474\n23979 90305\n38617 73498\n16493 36259\n57493 87240\n116 89319\n3549 38625\n3855 3877\n16342 36097\n24952 85119\n67496 87842\n17849 33983\n6284 65386\n39333 51357\n12006 62219\n8100 12705\n14585 89781\n25568 96379\n16108 29516\n3368 84018\n21745 53355\n86075 86983\n3042 27355\n2244 64921\n62369 80448\n3181 56134\n27838 59622\n43248 73689\n18991 83599\n40547 49012\n53193 90280\n40430 53735\n4838 36097\n73362 92381\n36751 47154\n37364 87167\n53018 81085\n52268 59036\n6734 52317\n12358 89876\n47212 88277\n54118 92564\n55283 98970\n11829 56341\n10294 11987\n62869 86967\n14333 87495\n23770 84093\n55264 72042\n23368 78164\n5200 10864\n62749 94955\n9944 74106\n38290 54374\n64315 97234\n11660 35852\n73383 89573\n22770 91066\n26098 61251\n36851 81906\n80187 82103\n25872 45610\n12201 69427\n63423 98869\n53591 93704\n9586 46241\n70279 76896\n72873 81200\n17751 20997\n29855 47540\n50399 97917\n75304 78483\n37616 69054\n76886 92550\n81385 83172\n3610 36800\n3140 57475\n24591 53409\n65975 95203\n43161 85186\n10573 95548\n37532 46736\n8970 14109\n23260 63617\n16194 19819\n43549 96923\n38631 47392\n73271 82734\n41453 80709\n18128 56601\n15080 27815\n39279 57996\n11069 90411\n85298 97439\n41211 92430\n4480 29932\n2972 73623\n74042 88905\n595 21734\n26981 56436\n21172 65690\n902 92237\n19074 39672\n84096 86621\n9046 62536\n24524 29230\n58636 84487\n51464 68172\n11308 70232\n32095 65196\n44795 86358\n4888 74240\n50394 67117\n12725 35381\n29819 74050\n19318 91760\n6199 80432\n20910 68478\n17047 90219\n42805 51477\n6050 49536\n15909 24311\n11196 30323\n863 74824\n29208 93870\n7235 79215\n37468 84774\n2028 54172\n57409 76141\n27791 90425\n15854 50797\n7520 83281\n69586 71527\n34548 50710\n34946 83125\n22438 45889\n52350 88033\n27578 89009\n2320 92669\n12896 84748\n3054 97821\n18064 66051\n3463 89601\n30095 62855\n47590 58554\n74324 92901\n10491 54582\n63258 84124\n36549 72517\n20997 22382\n84745 86182\n41561 64812\n12873 91098\n11223 68639\n11869 98140\n45249 66677\n44491 59366\n14817 22070\n40947 84388\n50916 71188\n70833 96947\n36840 46773\n55756 62859\n18916 84405\n74458 88905\n37793 46801\n39062 90972\n70181 98061\n4445 40193\n76933 84660\n25210 65760\n1303 70521\n5789 45528\n29164 92312\n27302 33103\n31213 72084\n17600 85903\n59633 87732\n698 54629\n49623 65982\n37385 76458\n57912 67338\n300 54141\n35014 75320\n41927 64817\n63239 68591\n23802 31917\n9195 13991\n128 19867\n25847 77352\n79342 82958\n9182 38527\n36615 50607\n24987 85617\n53967 94800\n70327 92744\n67441 95993\n27521 48780\n19160 90451\n38591 50537\n33889 92485\n58200 64588\n13956 89252\n23994 60872\n43948 68826\n43204 86726\n2016 14242\n59310 96524\n36315 57366\n87138 97192\n44318 80711\n71332 73842\n56435 95607\n35656 88656\n17921 51395\n46915 94035\n27064 90259\n3926 57390\n9034 72651\n49571 90445\n54227 90456\n21115 75911\n24866 66681\n41926 56489\n6044 73033\n66284 77774\n4871 18738\n11238 20435\n91288 94571\n67803 92301\n47515 68177\n73242 99088\n15352 49776\n3016 85368\n70165 82245\n58462 75049\n48470 52665\n19571 22575\n5449 56481\n45492 71162\n23146 70412\n71397 71977\n16132 47092\n27514 82357\n30675 60677\n9918 98928\n46503 72690\n53398 98813\n26235 67334\n10386 52101\n55790 72463\n4096 79412\n55788 66662\n17744 70798\n11497 22878\n81757 93730\n29798 57879\n21650 60767\n20842 54548\n53763 92425\n16795 41791\n64131 84849\n51463 92993\n18422 26500\n24862 69876\n37162 71067\n81762 82498\n12930 92795\n34904 49995\n28012 65435\n21788 71530\n91241 97918\n10835 96914\n8342 55287\n39759 82080\n10982 44401\n17781 73064\n28835 57553\n51628 67636\n54321 99847\n52162 94599\n8528 42761\n43185 95435\n73200 99623\n16298 55631\n11868 62240\n27645 45938\n82863 86907\n13079 18992\n26989 72874\n72734 98642\n26323 29518\n47269 59408\n33099 79657\n41818 49145\n731 6239\n42468 78054\n27968 49707\n65884 78545\n17451 53265\n5199 79343\n15622 45193\n67844 87862\n4205 99413\n29221 61326\n18575 81068\n46150 69008\n11123 55394\n45683 52742\n8831 57391\n13137 33189\n11000 35599\n25624 42936\n57277 87218\n61447 77828\n37708 48440\n14522 81890\n17677 99961\n12196 90783\n434 48624\n42812 87135\n73004 89024\n53503 98408\n22522 37339\n17147 60258\n25815 99770\n4592 63333\n39349 48443\n37623 64335\n1352 46889\n30930 43373\n54020 66019\n15124 97168\n12581 94711\n25315 83911\n66385 66664\n11288 94019\n13866 92366\n51601 77851\n60620 89828\n68589 95889\n33773 42039\n61669 70146\n13207 51626\n1820 94432\n84344 96905\n22137 81761\n48946 95552\n9971 99127\n27586 34130\n23673 40019\n36708 66501\n9258 71739\n29540 37891\n14082 28249\n18484 39494\n80095 86596\n10507 27226\n28682 30708\n22533 97019\n26492 97245\n8659 13081\n15736 75553\n16654 83402\n74095 83223\n23188 25402\n35137 96170\n36250 57338\n37745 56536\n1726 9658\n68693 90182\n11673 46414\n1210 74401\n89428 93775\n7570 76304\n90489 97537\n42001 81241\n12745 85230\n49819 52412\n3819 85894\n24669 32549\n29936 82419\n7096 52903\n12874 84588\n53280 61225\n81467 99195\n11612 28980\n1963 89930\n10758 30726\n19394 89882\n26964 97847\n74466 78916\n53895 77468\n2918 99614\n19573 25799\n4471 11165\n55922 61277\n8324 27924\n7906 70894\n7701 29326\n86747 98218\n56130 95150\n1812 38898\n45472 56930\n25751 32158\n32754 64750\n1980 88349\n47230 99059\n25956 72636\n4087 49133\n7041 56673\n3477 36822\n77192 88843\n3407 8749\n20626 67658\n62154 90727\n31829 55197\n64980 69083\n58977 81968\n17327 90537\n70626 93021\n18380 73106\n73618 80510\n22657 71951\n19095 91922\n18203 48422\n7592 31236\n46008 59753\n27562 85996\n49285 80019\n2306 69032\n25528 57177\n75598 90986\n10679 45338\n45401 51664\n68765 84403\n46639 57848\n57562 64407\n48806 50993\n18057 81001\n13494 94415\n6325 28627\n20286 22336\n55560 94447\n47012 81582\n39958 64660\n33113 96842\n65691 76550\n48011 74735\n30194 80012\n32124 71756\n33681 82768\n25631 92992\n5047 7779\n2865 38457\n34001 51056\n67794 88978\n21956 47061\n22088 71422\n31367 67622\n2939 49884\n70342 93425\n48897 82182\n24839 81392\n16563 52654\n41484 80442\n19361 61321\n65619 85895\n49834 84669\n15327 48208\n48511 50342\n43106 65459\n7639 29601\n41028 44837\n17094 99842\n88855 91119\n43842 81128\n15702 61931\n58463 79957\n8051 98135\n2781 31186\n33964 55708\n17449 54682\n19544 71239\n84505 94974\n69001 87130\n13245 87535\n52674 91599\n3215 67217\n13738 15940\n5384 38178\n45048 62493\n16862 24873\n42014 46991\n36125 57943\n31971 76134\n30203 55059\n45820 69609\n29929 70935\n29958 49499\n1521 1549\n8592 48761\n29986 83839\n44064 77163\n21012 66218\n58120 89893\n36105 79302\n58269 60528\n36091 49804\n6517 92108\n10622 94316\n53519 80193\n65614 81245\n25996 53534\n10082 67456\n10259 41239\n14386 62762\n47913 81289\n48201 58569\n59566 97143\n60817 74933\n54729 71328\n20872 52458\n5937 32882\n54817 82176\n17352 67302\n5966 12617\n62709 96187\n7990 89860\n15090 23491\n54991 94005\n31296 55489\n32984 41457\n14296 64995\n25204 68135\n19475 50519\n70372 85866\n19177 39382\n33410 81717\n13025 79600\n14435 23538\n10155 54181\n6480 85333\n15152 54178\n65636 77346\n64764 81891\n17750 43907\n34078 59615\n419 25962\n12661 37830\n25608 97568\n66639 71393\n13148 39344\n40667 56244\n23467 94563\n24767 71860\n18498 87933\n45331 70191\n79047 94006\n30915 39526\n19980 48505\n7288 99325\n49566 85897\n65638 75966\n36900 54605\n3656 4603\n41789 95723\n32507 98723\n59785 71204\n14899 58562\n9360 73074\n4372 4744\n9086 20155\n8568 97198\n2833 81137\n6178 30100\n18305 65131\n4298 70776\n8666 9034\n76259 89833\n21605 51692\n27247 29740\n31564 60245\n19500 82242\n14363 80436\n37307 71219\n82040 96684\n5327 15098\n17506 36704\n48280 97261\n16211 16485\n53309 68341\n3362 13971\n15010 22704\n53331 86035\n17552 96464\n21223 29396\n62905 83285\n46553 74541\n11801 72223\n622 42142\n1046 56466\n15640 76871\n11244 86562\n26434 95237\n73260 83127\n8635 95100\n46390 74024\n28180 45133\n41491 76679\n42695 82884\n63320 75453\n41602 71878\n60919 80211\n72226 82553\n27455 78706\n22885 91827\n35830 55752\n6235 41325\n45538 77429\n28257 49091\n35737 62133\n4662 73747\n33348 63767\n61700 66235\n9126 57640\n2956 80262\n15683 79128\n51113 90432\n12181 61895\n3728 6251\n15703 34062\n52899 55475\n62288 87270\n5547 11749\n51663 94601\n13366 72269\n14854 82827\n31487 70235\n38271 56429\n94575 95340\n36246 89764\n81431 92113\n59244 87690\n68783 73777\n51929 78570\n15806 48612\n50015 97695\n48206 59758\n16851 71386\n4919 56275\n52642 87875\n89050 96914\n59534 70197\n4118 13142\n12807 18012\n42931 78734\n20568 56616\n41259 68201\n19079 37754\n14682 61323\n16526 89485\n323 95092\n21183 75669\n88940 99986\n46381 91663\n47437 55731\n51591 97884\n13455 88522\n1703 97680\n40555 83297\n56599 69624\n37814 49307\n27704 35136\n28936 99104\n19047 30838\n26522 33454\n35446 67079\n29618 49000\n43182 54933\n24549 47804\n79256 91902\n18238 96606\n23332 62847\n19312 72692\n64190 86669\n64982 97589\n10811 71149\n30272 58448\n2800 79238\n22093 97114\n87038 96409\n18027 49242\n30981 57367\n34968 55404\n44348 91531\n27291 41444\n64102 91527\n27384 86846\n28736 82999\n2605 94260\n50833 99382\n47328 53110\n64958 89408\n80458 90274\n2849 94260\n31210 96201\n13440 15916\n67972 85159\n61032 76474\n31045 69465\n38526 86055\n14668 27172\n56365 60269\n2847 77467\n90699 93082\n1059 57475\n69547 80834\n53635 99441\n19490 68399\n21675 24783\n6779 48799\n33365 62855\n55078 73196\n3752 54335\n49725 98891\n21916 91866\n41488 65643\n46160 71220\n45875 47599\n15854 48168\n35242 57448\n13984 97580\n27714 51322\n5371 46650\n30014 85412\n10687 54679\n13828 85391\n53420 76366\n76732 80535\n3576 78102\n55752 81590\n14468 77053\n37398 94418\n4094 85353\n65053 68239\n31969 58851\n69086 97525\n31815 63390\n20125 21459\n57145 71851\n28778 68638\n34149 58359\n88456 90454\n63960 66283\n37767 86696\n27449 54737\n40503 52762\n19084 76004\n2102 54254\n11831 58005\n26983 94559\n21109 30019\n16661 37807\n2018 68362\n5598 93800\n49444 97092\n20871 99790\n12426 63306\n76981 77335\n23938 43988\n69480 72340\n24752 91070\n25419 78533\n11487 53481\n73338 94499\n5776 91861\n4142 26838\n59675 64293\n13286 61241\n49758 72512\n10802 25013\n25483 63871\n3012 84577\n36939 75606\n52496 95611\n33463 56696\n26844 97952\n35498 61912\n23689 41258\n58297 93851\n39825 67616\n232 3896\n30394 38502\n12147 38325\n45105 67665\n46360 82814\n77787 87942\n18303 81799\n25016 52845\n70473 83960\n29997 67632\n26623 86127\n15400 54880\n21541 73385\n49086 77418\n79873 99535\n43164 54578\n29874 42162\n31066 77686\n16892 36157\n16261 93734\n24237 63641\n29072 97356\n78957 95346\n15803 27214\n2629 66989\n80930 85104\n16262 49421\n43238 89893\n3924 44505\n6532 31467\n62439 98959\n21089 31260\n41477 63206\n42314 73534\n9946 12840\n30351 45793\n82062 98088\n32498 48867\n42574 58236\n54134 60857\n90916 96184\n64686 85761\n58527 69911\n53415 74953\n5706 20083\n32279 98092\n39738 92022\n6191 91752\n26790 80384\n87684 90378\n12288 88440\n74230 88920\n77298 77621\n316 74778\n44248 83511\n66813 70555\n66634 83920\n18039 82649\n34512 96267\n40625 48434\n13771 60191\n56709 69185\n39864 74797\n23190 89996\n39478 67911\n58285 68969\n89195 95442\n22867 74735\n57629 90427\n7703 97453\n45956 93706\n35131 45883\n42680 50989\n43405 59946\n23660 44441\n56147 99017\n79013 93494\n17951 73420\n76613 95825\n27703 32122\n67873 79165\n5914 54243\n62306 72375\n45507 75673\n67453 88048\n5294 52870\n18092 78458\n9373 57723\n87639 94738\n63149 78688\n45270 92270\n17310 59648\n7460 11922\n56807 88335\n10548 34332\n43506 54053\n55356 58327\n9603 21112\n27499 94585\n11778 59851\n26899 69349\n42599 69443\n25212 81687\n65823 94865\n7090 99454\n6820 59941\n58348 80646\n6853 67960\n21650 63855\n24530 70146\n24199 62005\n7178 57014\n40921 73153\n28923 56350\n49794 87168\n29580 83802\n58449 61485\n11687 39960\n22237 79382\n22635 74725\n39529 73675\n17082 17385\n88656 91609\n26850 78701\n32217 46396\n44228 85575\n923 31491\n63664 85782\n43826 87014\n87175 95638\n41806 70940\n49968 72766\n33477 40628\n10914 57330\n56524 91051\n13442 58523\n69335 79980\n35400 55232\n3885 19282\n25955 42258\n9239 92685\n68831 97624\n37055 39708\n8785 67474\n47 98231\n2583 9327\n2431 47855\n52815 72571\n36936 45685\n43316 81777\n6105 56986\n11211 82344\n20127 61675\n12323 12429\n8986 12683\n40334 98897\n51958 63549\n49095 91267\n73940 78122\n19653 25293\n24463 98385\n75503 81568\n27750 61834\n44600 99586\n26901 86657\n10344 23797\n17557 23551\n50206 90509\n60391 66821\n2197 75395\n28446 67002\n14858 57699\n50747 70280\n47215 60426\n337 15566\n45523 67582\n33288 80032\n12578 50000\n46263 93362\n24908 73340\n56481 83882\n52096 79809\n27493 87326\n10009 85944\n66085 67928\n43571 75729\n3295 83020\n11763 92508\n5064 29222\n61067 96106\n17567 59369\n48798 88751\n35040 58016\n20041 47245\n40138 99053\n64901 71211\n62547 78239\n75060 78437\n20394 53036\n75951 99366\n10835 99485\n49342 87339\n1855 63569\n87067 93187\n36833 65771\n63999 84926\n22655 31008\n54811 87342\n43170 91208\n45084 87385\n55367 69396\n8789 48342\n23356 27748\n61875 67995\n241 60963\n82769 88695\n22671 51295\n27143 34604\n39923 59957\n51448 67468\n27291 43654\n30614 45289\n48434 64598\n15553 31715\n16212 80974\n71503 83829\n47920 65794\n34936 65891\n39473 99499\n37342 49518\n8007 39040\n28696 51986\n26048 52153\n30192 47967\n35134 68631\n19965 66297\n83095 89564\n19332 60325\n29581 86331\n43343 78700\n54672 95697\n10580 35879\n13602 51399\n46877 57149\n11325 14132\n18409 25395\n70710 97498\n76212 81160\n6826 62392\n20721 54164\n29499 75289\n48749 62988\n5467 63181\n48433 83092\n60159 74386\n32706 75493\n21066 30494\n17531 94709\n43242 60275\n36544 43843\n35278 84250\n46417 66522\n22727 59109\n41090 87428\n53267 61841\n11182 26731\n46276 84766\n40409 58270\n17312 87348\n57533 95847\n24748 78112\n13188 92938\n9743 14285\n7863 21816\n9686 48144\n12049 43253\n47431 94082\n684 57515\n37725 81538\n73243 89586\n42903 67651\n44187 93998\n57683 92115\n68481 98875\n14729 70366\n42499 55483\n81886 94348\n1215 77109\n23505 34959\n50313 76227\n8618 64531\n14476 97546\n7113 49829\n17631 99312\n11695 48864\n2314 9586\n32417 38287\n22290 96952\n25562 97376\n18922 46668\n19687 84883\n58849 79543\n5731 46014\n5825 11133\n18833 21296\n29065 78552\n34499 34707\n33648 62775\n39010 41228\n68836 93496\n37172 38808\n75936 92364\n16033 46599\n44176 78465\n53539 64540\n11229 90877\n61035 79355\n17825 35785\n77977 82239\n59324 65223\n17080 33224\n34042 39058\n53732 83697\n3852 12911\n20414 39946\n44979 99543\n16932 65294\n1382 73619\n21680 24067\n46354 86850\n7645 40467\n56467 93682\n30908 50294\n66587 88395\n49695 92166\n28243 74411\n89978 90816\n18937 68937\n60002 99597\n28805 51755\n27126 93374\n7563 87090\n32644 52850\n83558 96670\n27277 46535\n33494 47249\n24864 25734\n5466 46579\n73780 92367\n6168 17209\n30506 42997\n16558 70991\n15828 70184\n42241 63361\n18189 18439\n8006 36945\n64764 84049\n31107 44642\n29375 73956\n45379 75877\n18289 68091\n67145 82462\n14738 30671\n35795 40858\n22452 86953\n32521 38849\n61382 91238\n2926 70109\n7910 78207\n34160 52568\n39880 55611\n1196 67290\n18768 39737\n21214 65176\n329 47610\n44372 79120\n26495 35644\n49572 71220\n9838 33812\n15665 31802\n18115 90087\n32987 38565\n74590 83916\n39360 62064\n22969 51627\n70948 75614\n59930 61350\n63826 84726\n22254 89502\n14103 58775\n21306 45864\n56300 94742\n15383 99629\n21974 54954\n32862 98308\n6532 11540\n47224 91493\n76699 99820\n32835 92725\n52057 75635\n18431 40639\n30011 38012\n22908 56103\n13551 80191\n20832 40314\n12967 92371\n43823 74167\n67943 77328\n69357 97451\n13913 39200\n59715 77287\n17263 36114\n41620 55328\n46136 81783\n23923 36433\n79336 82320\n68749 89271\n68003 96666\n43286 81284\n2012 98241\n25646 62241\n89646 99756\n73145 87820\n16603 46263\n26857 28549\n56093 81907\n8130 61408\n23866 66349\n45563 53081\n52872 58177\n19958 69984\n9586 23073\n27538 55768\n66028 66815\n1256 85111\n46552 68986\n33130 55786\n23068 76884\n26823 76992\n64594 77193\n30880 31389\n47251 55301\n4765 44003\n19905 41217\n26805 75222\n21816 58667\n81412 88355\n71169 93595\n13414 34311\n48345 86311\n1334 9972\n17081 79153\n72759 87694\n71362 74499\n67449 94200\n2380 76284\n55074 66829\n60718 98129\n1229 29613\n528 96292\n1043 77044\n30488 71725\n34036 81766\n63484 68601\n1221 13712\n52128 72670\n39122 86625\n46858 66751\n54846 88635\n23174 35478\n46421 78765\n31550 94086\n14989 52840\n11538 95806\n53746 54123\n31464 32996\n44981 89159\n58829 99475\n34619 80030\n11983 72995\n34704 71287\n65628 89166\n21455 59525\n49882 57814\n6736 33335\n2374 39498\n58060 69896\n87162 87271\n48995 84193\n54820 65244\n12141 94036\n31988 93673\n5518 54745\n32714 92890\n53884 83760\n83338 89276\n40602 83538\n66754 74740\n904 64871\n57951 93307\n1329 69159\n31517 87959\n40938 67237\n63705 97201\n17708 59873\n76766 95134\n2671 61288\n2032 39365\n22805 72909\n53837 80869\n16272 84435\n32871 74351\n45038 63703\n51545 91061\n39136 39888\n49211 75316\n36843 89496\n21667 40887\n33902 47792\n51250 78592\n27336 87010\n11434 81555\n6586 83107\n60014 96659\n32261 93563\n51481 55358\n58068 72828\n11474 67053\n39350 72203\n53747 75713\n17717 18042\n19741 20502\n26728 79498\n14150 76265\n4903 56299\n9389 98167\n14329 62353\n41190 43432\n36775 43384\n13779 92329\n19101 41142\n57055 83470\n76708 83609\n67816 82500\n1408 25446\n57549 67712\n35651 67844\n17302 26319\n44986 49006\n49131 83338\n53078 66174\n657 70961\n46797 95794\n12985 29435\n9571 42278\n42278 43163\n15701 47100\n45591 54548\n27459 79686\n3769 53770\n3820 24612\n16562 86567\n64498 72079\n20215 49502\n61108 75828\n3523 74453\n10777 81021\n38165 44413\n11900 12391\n64694 75362\n75099 86410\n789 85126\n55542 91853\n25297 52671\n40130 57593\n13488 91284\n28507 67439\n49813 83352\n9446 13330\n25255 60139\n81823 92138\n51074 98514\n31217 74768\n54681 63901\n57373 91228\n70083 97485\n3179 42277\n81808 90261\n73764 97966\n63088 77383\n19955 75752\n3966 85032\n991 46203\n12826 83941\n27381 53864\n5603 89339\n10982 13178\n28835 57366\n15730 55960\n45565 51662\n11102 75191\n83553 92689\n51719 76137\n54314 60660\n42953 82374\n22453 84304\n24419 94369\n26266 32512\n48951 86664\n27101 89044\n65258 70143\n1601 15744\n68833 94268\n66596 77412\n46436 84514\n41474 78335\n1515 74240\n28470 88364\n42765 95851\n8812 46100\n32226 43976\n21356 25993\n4433 33340\n23627 65609\n31236 70452\n5898 56632\n32947 53115\n10809 88886\n13152 60031\n90128 90908\n55026 99987\n40715 46564\n38045 39576\n76996 84891\n20768 84440\n10141 73760\n22564 41133\n59674 91167\n41618 67316\n15326 80118\n40927 67622\n3773 21301\n47428 95421\n15753 25952\n73139 78600\n34937 74751\n37450 68955\n18293 85816\n12839 78331\n45925 82590\n56384 91915\n47558 63945\n16781 78946\n37425 39154\n47349 53969\n89319 99549\n5843 10954\n56848 93501\n34552 34704\n28192 87403\n44337 54193\n83799 97869\n84209 94955\n22623 99627\n60455 99186\n22139 90078\n78182 79096\n108 7486\n19371 29279\n42742 91497\n7782 93256\n11322 66243\n33592 80783\n23711 85910\n48318 57830\n11047 38890\n1594 52804\n37453 46639\n27275 50822\n36384 80260\n33761 73120\n16674 53433\n41587 45900\n16740 37307\n16142 92466\n74915 89307\n34302 52398\n61435 92148\n19218 80527\n6651 95032\n1738 85439\n42996 51306\n9958 20847\n15975 28237\n86498 95341\n48856 53530\n50809 82473\n4222 56434\n93392 95258\n30159 73720\n91068 98460\n2996 46821\n33925 75683\n12001 49058\n77872 82740\n30981 52151\n64558 94674\n3933 95392\n36068 92884\n43456 59180\n91463 99611\n19023 96858\n83846 85691\n38863 92616\n65575 70240\n4718 5368\n1386 98471\n10413 61831\n77839 81498\n93591 99391\n82350 94494\n10933 26592\n39283 49179\n38912 61757\n34494 96900\n9752 24488\n9105 9751\n33271 97146\n4173 74273\n13925 33401\n123 11885\n34168 45217\n7859 51180\n42435 54817\n69911 92753\n33544 92057\n64808 66103\n34556 56327\n6813 13337\n43152 62127\n22834 61357\n7714 79779\n71851 73153\n43335 74790\n12525 36117\n5441 84067\n32667 91962\n2080 71516\n27286 98580\n18452 23457\n75754 94260\n6431 87576\n40538 46074\n97191 98040\n86403 88267\n79808 95514\n2796 42081\n77500 92965\n50499 58925\n11071 37485\n28866 82667\n23618 54424\n35678 53845\n52517 85270\n7102 16140\n45745 63384\n14441 71256\n52023 84192\n8960 11861\n16486 66653\n35757 94951\n43530 83398\n10958 56472\n87572 98648\n53925 95142\n14933 81914\n2881 31454\n25658 60866\n2611 5307\n38541 43740\n35611 39500\n24762 28225\n40187 86060\n24554 57889\n18736 22168\n10922 54455\n40296 41717\n4816 88361\n91971 96117\n1333 32871\n3291 26079\n17522 37725\n20525 80976\n58360 87979\n49136 79271\n49896 64301\n16842 30926\n26675 61715\n15014 83908\n27104 85360\n71888 76269\n739 34021\n5263 58730\n59144 65879\n68303 72063\n47099 54359\n25326 99399\n10855 83109\n31337 87328\n26581 88651\n17412 74619\n13784 17096\n56140 68164\n43521 43651\n84857 90671\n10084 14890\n43471 89827\n33777 96928\n7813 20234\n45947 78644\n58866 85790\n23985 99079\n39830 48327\n23101 59609\n34586 66716\n38133 76574\n11669 52303\n10311 57149\n13195 96826\n13365 20516\n71732 92205\n34943 88467\n39737 67432\n3479 33703\n19797 93253\n23795 76678\n3850 9008\n37489 84633\n29581 74889\n43461 56246\n67382 71695\n22402 33427\n39284 44268\n57148 95823\n14390 17961\n46828 97279\n48032 67578\n28382 77914\n7119 8991\n31894 72281\n30091 34319\n23481 83534\n34836 44599\n23761 73567\n4008 81716\n17188 64769\n77643 89135\n3566 53454\n3563 89149\n55809 63153\n519 81647\n18675 25104\n39429 47154\n84073 91164\n26383 61306\n15622 41863\n26556 38485\n19104 54639\n11851 61437\n27169 36763\n15081 32019\n12702 99365\n38770 82426\n36180 78438\n94077 98923\n73147 73576\n37799 91314\n27720 49573\n31654 87261\n38930 87784\n16640 22634\n46455 68252\n28257 68067\n15784 21027\n54418 79298\n34059 47771\n70806 72216\n56766 99972\n15198 75959\n30658 67580\n16064 85877\n4286 12678\n46572 50811\n8776 31472\n1294 15286\n11889 43887\n26379 62361\n30050 58422\n58720 89620\n45492 54546\n30752 55857\n66655 99287\n8261 23131\n22256 32803\n1809 5069\n54068 85236\n21597 26254\n68208 80682\n36369 66726\n43907 49135\n3913 56855\n28415 57387\n76409 96625\n7439 35699\n60532 69721\n16320 32620\n3543 8972\n79152 96480\n4957 43357\n682 74006\n28176 38266\n62047 76568\n8501 34233\n36716 74305\n4787 82986\n4242 75212\n19222 44023\n42052 74439\n91 72819\n23710 36190\n24804 40157\n25789 80264\n49517 62292\n21092 79537\n61364 76994\n13537 33531\n3983 97799\n42195 55639\n6225 23378\n490 6469\n56527 74385\n25581 54638\n86988 87652\n90697 92252\n48527 53620\n23123 65736\n25618 53605\n35077 41667\n78457 79394\n21079 84687\n4973 94824\n91035 98447\n53677 55547\n53524 53587\n45856 64118\n16203 42114\n3890 97717\n10749 59083\n74781 86108\n4264 65427\n46521 51888\n2784 68889\n9075 35551\n25165 94135\n46859 65093\n73018 83200\n4077 31466\n53784 59936\n56572 93576\n38570 57466\n24337 65222\n8334 62696\n43039 93452\n97807 99823\n23183 75046\n23236 67812\n42118 65794\n9739 62869\n61946 71821\n35227 91274\n47771 94126\n57567 94451\n30354 31656\n12271 28628\n11115 73236\n26344 77063\n607 89630\n38690 61152\n17721 89548\n20687 96040\n24402 44821\n30593 40186\n47639 49404\n16916 93518\n11668 61618\n56856 80017\n32897 63235\n5040 57028\n7233 23448\n52092 53293\n76857 79999\n24992 51881\n37498 76071\n4492 72995\n55310 78494\n66741 87951\n47758 83704\n51090 96522\n58073 82281\n5249 11554\n10393 72209\n59599 85973\n10626 34293\n19761 32345\n12535 58581\n21506 84378\n25120 85677\n15738 52935\n13103 79796\n32491 71689\n61785 85717\n58435 64917\n13267 32750\n9104 24190\n97285 98895\n51090 86688\n76034 82103\n21593 60432\n74414 97386\n8345 96523\n41632 89861\n45235 93670\n11249 72295\n488 52050\n73325 74712\n29110 34109\n13349 17770\n25136 94518\n32291 68344\n42460 60060\n23453 74534\n37273 65287\n68769 97478\n24429 93589\n47093 98440\n9352 43712\n10960 35555\n42740 45875\n60996 62524\n11611 12780\n32810 89142\n23775 75342\n27279 74812\n6972 97433\n80049 90991\n15719 88997\n37561 50683\n14605 67831\n33724 74957\n22468 46416\n36218 63372\n45378 52629\n5780 84190\n76249 88226\n111 46432\n4572 60496\n9126 63998\n14883 32585\n17424 34460\n19211 74512\n14293 79653\n77988 84103\n91 55750\n59419 96138\n40754 84775\n34693 78545\n32586 54495\n85780 94910\n49091 92263\n48683 62687\n5899 84426\n43338 58104\n8985 64119\n546 86432\n2326 38662\n38852 90125\n54293 56009\n11575 19860\n72982 95411\n71307 99250\n74436 98130\n32222 40998\n48630 97822\n14380 18744\n82332 88822\n76415 79850\n51607 93232\n84697 89638\n35686 86223\n27466 40515\n12017 89743\n35175 54937\n15388 35586\n45336 56293\n66933 74548\n14764 58015\n22942 26441\n37576 74554\n54311 89540\n974 55865\n20966 58037\n6668 30448\n19545 32072\n11094 65621\n55113 96159\n29365 42140\n41884 81364\n52706 96058\n4421 83476\n46768 64095\n4207 29562\n43121 69777\n33566 60187\n84470 89391\n7476 85989\n52829 67555\n26778 85023\n13010 32461\n58417 98878\n13945 15178\n33098 44925\n49150 58608\n33762 38890\n8382 53060\n20723 38889\n58989 61245\n13479 89335\n1137 60661\n49368 64526\n28964 96145\n50504 70345\n18563 84781\n9161 98460\n58755 96817\n2693 77921\n62606 65559\n1168 59315\n68899 98017\n66966 77808\n76828 82336\n47354 92553\n52037 61847\n21623 95383\n27701 53845\n16776 99720\n52397 63234\n10924 40300\n40864 47578\n31964 69417\n38192 38868\n9936 14598\n90787 93976\n56660 56963\n27928 46478\n8593 84650\n38223 46968\n38542 44723\n50766 73419\n62085 69435\n7270 81181\n11065 78092\n29800 90748\n6684 80734\n5867 83910\n77387 89118\n40406 75593\n82039 95493\n47227 98510\n28766 44262\n8750 21727\n37183 57500\n34815 70107\n19165 86819\n22717 25330\n18772 50862\n32386 59808\n59037 96357\n7375 22826\n22923 84330\n10453 59186\n21164 22411\n29964 97699\n33257 62933\n38617 38830\n7394 26296\n7047 74036\n44819 52444\n18313 68386\n3465 38721\n10352 97043\n1312 81169\n4023 6678\n17822 57010\n26048 39589\n40957 64341\n33406 62237\n4319 72318\n28874 87151\n54580 79417\n50238 68592\n47164 48594\n54687 69212\n44498 70900\n81164 87471\n32185 34322\n8843 15230\n53218 59436\n7777 97978\n21408 26463\n54695 94444\n7678 71864\n51126 60673\n46946 78986\n40120 42465\n639 79189\n60778 85736\n29792 45590\n71283 80147\n61200 67120\n58425 81956\n426 85125\n66197 73605\n12736 22187\n9328 82432\n32370 36873\n10568 17616\n60029 98275\n52134 92771\n38395 43391\n5002 58923\n35874 41442\n6161 72274\n18430 97030\n4568 8085\n99 77904\n4251 47343\n30226 68638\n184 81691\n13247 45948\n63243 96726\n43888 97596\n15064 19095\n4497 73688\n957 24131\n48031 75495\n24917 62998\n43040 75396\n6290 43122\n61346 75133\n46944 60577\n48230 85451\n89850 93542\n32880 77316\n37190 97210\n18810 87474\n76076 89669\n26036 65986\n1027 41879\n30431 32849\n25573 29373\n60866 66974\n72096 86500\n6982 86494\n59324 81154\n14394 87046\n66510 76474\n17480 56307\n14586 73766\n39626 95106\n49072 61643\n76854 92013\n56261 92757\n32205 89400\n85244 93518\n6257 87198\n66124 71146\n20756 33255\n17115 86391\n2612 33038\n54501 63736\n293 84387\n3758 28746\n1520 95972\n8808 81519\n66912 79185\n19181 47057\n32536 61101\n4573 23525\n7868 78889\n64973 77306\n70899 98009\n40371 63671\n86142 87677\n74396 88584\n23342 84791\n19855 24561\n15352 39044\n36455 72522\n61019 98630\n27137 58874\n28505 68594\n10638 32127\n54353 59735\n34474 36357\n37648 46742\n81139 99666\n87711 91441\n9238 38478\n32218 49419\n50519 78479\n45881 93774\n82333 91991\n56391 98491\n47007 49333\n85290 96577\n25117 57531\n37823 98423\n10398 21323\n11246 63956\n8921 59187\n73714 80320\n31852 98360\n52103 57874\n9725 80628\n91017 94405\n67186 83170\n51894 69704\n4396 85832\n29220 37950\n8537 75207\n22058 76069\n29767 90664\n3369 79590\n26983 57793\n87724 88591\n4798 69967\n44536 57689\n69728 75285\n18373 34171\n74774 86620\n49012 82161\n84362 94038\n53695 77883\n22869 98786\n59519 61756\n45557 81265\n79312 96344\n43220 89509\n31123 40225\n24269 34897\n47817 62486\n12397 95666\n11111 90065\n65351 78652\n12771 79359\n16687 83438\n1526 94889\n6003 37061\n12404 77112\n42013 94333\n52386 95722\n2976 6822\n65623 88065\n33415 87251\n39857 78545\n74474 91203\n52821 81048\n34514 79597\n46391 85441\n20823 40961\n40113 45100\n77749 83386\n18530 48728\n37761 84229\n83631 99589\n90861 94854\n67170 96568\n77926 97685\n71635 74036\n64207 85426\n38831 48230\n19682 69949\n10693 72273\n58734 82529\n57128 64657\n6008 28558\n31503 62060\n41968 42842\n12486 18817\n67849 83685\n30991 74723\n71294 88526\n22369 23890\n65621 68901\n81130 81770\n7195 71874\n24973 26262\n38622 62178\n4504 47655\n74445 94553\n65824 96755\n7815 93408\n18155 34019\n10676 82826\n2648 38006\n43264 72832\n67352 70411\n15508 73056\n19199 96556\n8822 15568\n46919 87583\n73949 79074\n11228 40999\n30489 36735\n69100 76378\n2748 10956\n2261 81700\n13922 52521\n13546 63911\n11803 66555\n26812 66256\n15287 51691\n52542 67848\n52759 61411\n470 23630\n61421 97117\n9307 80493\n12717 39941\n60736 67743\n13226 74638\n722 57892\n2783 60704\n56656 69527\n58738 76586\n61505 71729\n40622 57718\n60809 70056\n30593 50051\n47025 53684\n39030 79790\n67242 90240\n6210 68714\n8751 46280\n31237 74371\n30162 96188\n41847 51681\n4681 11732\n28259 29470\n39042 60899\n62711 84588\n77892 87770\n10123 19947\n12423 28964\n17139 84399\n27513 97784\n28932 44362\n30667 89675\n47324 69063\n40895 64762\n31722 88794\n5957 77555\n6930 83754\n85498 96659\n28222 47057\n49289 94948\n4440 43705\n48045 57074\n14951 69658\n28435 77458\n37890 96941\n3588 71565\n4035 65542\n24208 90031\n18170 72059\n3050 27152\n17971 72195\n44181 89302\n17031 27799\n23544 65388\n6874 95716\n9898 36034\n8741 99842\n10239 56315\n30850 90486\n28710 49735\n250 33727\n76570 78536\n2297 85966\n3982 40654\n50353 89456\n996 42585\n25030 68358\n58076 76580\n52964 90767\n18558 64566\n39963 49764\n20845 36005\n62226 98980\n5771 33248\n19183 81012\n24350 95211\n8587 70297\n13870 61851\n218 37010\n88115 97482\n45487 84760\n28284 47287\n36865 73185\n80399 97277\n52716 54770\n33334 96731\n19326 67162\n33300 62668\n41330 77793\n936 12794\n15338 32912\n22419 85383\n24859 37259\n11591 77331\n39806 40021\n40473 83478\n34114 74497\n5516 68436\n36368 81591\n23921 37388\n2824 49958\n57703 64166\n71192 93262\n29154 80373\n27666 49369\n67314 84283\n15268 68058\n13575 96976\n13769 72289\n23047 44318\n20788 30987\n44176 47752\n3525 7725\n211 46879\n11391 70179\n37069 47834\n61927 68975\n12400 48821\n65676 70773\n13206 71074\n3419 78428\n57963 66095\n48243 71250\n11847 68186\n51639 78773\n19252 24399\n55022 76657\n50159 76647\n74697 85402\n68426 91241\n38734 54533\n20919 22534\n54570 62709\n16129 72732\n72361 77111\n45845 73196\n24004 41368\n51646 64495\n81759 86839\n34797 50099\n34737 73785\n7657 31891\n41066 68464\n13839 61199\n25170 90972\n52135 95177\n37336 42045\n21746 40738\n38993 77634\n10492 14450\n44765 63054\n33924 62968\n10187 71804\n20748 40322\n59951 84275\n26917 50668\n28452 94232\n1766 24951\n16016 95915\n18117 73276\n48018 80534\n30778 96791\n46423 61090\n5627 73303\n6315 86100\n65079 69567\n4388 97957\n27425 83492\n12589 38490\n30621 53134\n4438 66177\n3725 98875\n83029 83532\n75404 86418\n13505 98064\n20635 94713\n32919 97699\n37650 84545\n62867 80907\n17936 76062\n42372 90691\n46642 71328\n12227 29427\n64256 91724\n56197 84258\n25472 66257\n77720 81552\n80799 81929\n5456 48057\n18341 76201\n30480 58044\n24916 74055\n6164 61231\n32366 68873\n409 24188\n38670 58000\n3934 63401\n69808 90935\n43121 55446\n88703 96523\n47672 71815\n45938 82412\n48826 65647\n54754 95780\n37742 71175\n71085 92911\n31525 36167\n68079 95365\n24049 69748\n88285 95019\n43113 87281\n31535 32279\n15497 71566\n17353 64541\n5850 64129\n23797 94264\n69452 79745\n3772 41345\n79126 84000\n26111 99506\n58503 83528\n17677 80280\n23467 94143\n2034 13065\n63047 88496\n28733 29853\n4515 27991\n34490 63011\n56115 98625\n11927 66571\n29399 73995\n12027 84396\n65926 95292\n28465 32788\n46258 65423\n1457 87315\n79334 86618\n50721 74540\n27380 88607\n45836 83184\n21059 82019\n10111 19008\n61558 81475\n57443 69620\n73965 95776\n17068 96861\n14735 35558\n31282 49126\n24773 32897\n74047 81717\n3381 18478\n27082 29718\n71438 90367\n50306 71221\n13640 80889\n15709 60775\n74640 75066\n17629 25514\n29409 50088\n34935 84284\n21813 36309\n48213 78556\n9743 15549\n20147 27143\n18477 66121\n10461 51011\n23478 61945\n32661 75862\n19501 28580\n19695 83338\n45646 69075\n76869 85405\n36418 39097\n43302 50766\n65244 85042\n39439 95373\n83312 89421\n13903 83635\n12846 64233\n35538 84239\n49247 90951\n1862 29074\n2175 10096\n319 72640\n2119 20222\n1983 69050\n54236 77863\n44427 61360\n11395 25200\n43182 66294\n82232 91229\n28258 80042\n28472 70833\n30420 59162\n13455 63472\n46101 86402\n33384 38805\n42601 91542\n65406 71958\n23405 84434\n65928 66294\n40924 91899\n67408 97648\n65029 74024\n38162 86537\n7702 51292\n22972 61510\n45392 94264\n11721 19766\n8709 74711\n6471 93682\n57796 84582\n5288 26780\n31745 75891\n46265 61663\n40910 55925\n1761 6233\n19206 77965\n40360 43723\n17687 87430\n48030 51395\n1580 38154\n13186 31982\n83354 88224\n8874 28978\n10454 29409\n62916 75146\n28678 76359\n61747 83861\n7266 52764\n55836 89453\n39313 90414\n23389 69314\n27290 56511\n22462 86246\n29563 96596\n6650 53356\n41500 54921\n49512 88856\n11230 96376\n8311 78949\n18433 91063\n7055 93929\n6089 14592\n76893 84523\n59942 73901\n47978 53657\n4960 33102\n24518 67769\n38242 98700\n6505 39625\n11527 46140\n47083 90936\n15814 99271\n13987 22176\n33846 91158\n36600 39799\n40563 77272\n13553 93676\n8127 21832\n41045 93957\n13573 69937\n7095 66365\n3017 49421\n63008 64967\n5420 72659\n53794 70724\n38246 59349\n22240 53267\n51145 96648\n84247 86727\n7781 64533\n58924 97337\n19598 35427\n35339 93799\n5789 98486\n25923 62214\n7376 91569\n4634 44448\n68273 84939\n16147 73659\n26899 83879\n11768 89177\n2986 23749\n9931 98827\n79457 84284\n30405 31851\n42692 46982\n7347 73499\n32677 48856\n27677 49366\n18614 75030\n53134 90739\n8874 12749\n51618 56274\n26481 44889\n42268 66681\n68954 77896\n3319 4745\n1122 83008\n64931 91694\n22179 66916\n64031 72963\n55077 90982\n27180 39621\n23795 75277\n40096 68189\n3063 54512\n61697 66013\n12516 25435\n13407 99170\n11426 28447\n7788 56774\n1700 92545\n40847 46694\n34864 82552\n12173 40664\n54942 91289\n41248 98848\n8513 53216\n35741 55028\n9530 56595\n51817 55024\n57827 73179\n34570 72763\n48661 95440\n20184 99365\n36855 55413\n59254 98800\n31266 91808\n51760 67403\n72640 88300\n19402 52812\n1920 38873\n74028 84161\n61123 94048\n9229 32339\n62758 63372\n11150 32747\n20664 50008\n45297 55706\n58464 96238\n61915 72997\n45763 52000\n50833 51303\n23079 57779\n48424 79852\n40636 69416\n67704 72866\n49345 68007\n36150 58409\n14018 68742\n52404 99317\n38242 82266\n37840 84387\n33238 77268\n8368 14939\n30388 95116\n23423 89405\n10884 88993\n61978 97504\n31806 42055\n18245 99549\n78555 95009\n23201 96716\n8711 64436\n5415 79906\n76543 82530\n3297 56171\n75151 90457\n27022 32340\n7215 94720\n18375 39132\n65433 73570\n9082 36894\n10444 13854\n54044 98282\n6078 29788\n38608 76578\n57459 91648\n52652 86807\n51393 56913\n32974 79475\n39788 70233\n10462 15591\n14571 43711\n7139 83807\n710 31288\n63247 91701\n19566 49948\n293 34420\n24971 83593\n16972 78943\n27817 78000\n6074 50075\n66646 96881\n55105 91206\n71266 79624\n924 87938\n36683 69981\n60896 64819\n31323 41490\n16787 20859\n73593 90955\n27875 82617\n20936 44811\n31079 33493\n16897 63715\n5214 22701\n85887 96235\n76709 83005\n1687 46121\n44435 71348\n15637 41410\n11579 89020\n8991 58727\n4873 74147\n43970 84655\n46680 95083\n22146 72760\n17318 29161\n52218 60143\n55854 70893\n25271 78669\n5491 25506\n20105 73760\n11410 55946\n18106 88348\n29942 63786\n70481 95814\n9031 57054\n1112 35593\n24796 44346\n13984 53412\n51333 93103\n21916 36941\n36551 55222\n37900 47883\n23203 67477\n14894 34550\n33328 99426\n48673 91554\n15117 23124\n51723 75953\n74187 75642\n48078 55440\n27403 69127\n3544 33428\n4387 27642\n61491 64557\n9913 36411\n89641 98402\n28502 69517\n96599 99700\n41375 47562\n30642 94797\n10655 43179\n24166 32910\n8911 34389\n663 31645\n39323 90896\n32550 45971\n72103 83475\n37279 98539\n39211 48753\n52796 67790\n26263 73975\n5569 84954\n25375 73018\n4004 4015\n76243 85580\n27449 38869\n8774 22572\n13307 55073\n70374 71642\n61820 97331\n9905 86628\n60413 93347\n6313 58095\n52806 99459\n85016 94966\n25432 31637\n26003 64503\n83981 97020\n27541 99280\n47946 63541\n33557 51204\n30927 90674\n49737 52495\n58308 65279\n56077 81430\n6816 74928\n54714 69204\n43572 60911\n67546 78434\n92949 96753\n36704 90200\n10599 20287\n393 23099\n64402 67557\n35980 51329\n65275 83526\n29254 34958\n11082 54815\n4157 78288\n17635 64617\n7169 35036\n16860 29884\n7264 10238\n19930 32158\n12046 70541\n40468 65700\n92789 93376\n61689 68223\n11207 22696\n24997 38168\n4724 75929\n6528 10463\n49765 64679\n60179 82935\n55843 69291\n5013 55064\n53027 72720\n5780 51874\n27043 29290\n28076 96360\n84902 91918\n23249 45510\n9042 32651\n31394 59642\n77989 96870\n2132 54814\n40647 52414\n9570 59673\n31912 39839\n15858 45266\n10055 19546\n63434 97198\n79978 92639\n39160 96534\n65518 76112\n8858 91580\n54932 92615\n16112 56135\n31517 77322\n20410 66937\n21614 31376\n17453 94833\n76551 95260\n42071 57173\n33728 68824\n33492 78659\n15727 22589\n59724 75771\n24606 55394\n53012 78412\n3305 7146\n37556 86434\n70452 98305\n49477 77014\n37903 99215\n8204 40399\n5776 7346\n56939 59480\n27156 97149\n65916 89372\n12427 15230\n25564 34359\n26203 36178\n67957 99148\n67578 83670\n4685 61250\n1858 31522\n41701 74357\n14492 92361\n1063 36654\n26908 99393\n69369 88289\n17184 76583\n15781 51261\n50366 68761\n52139 56813\n21346 40644\n5720 65334\n2828 78857\n53338 95316\n41880 89777\n8939 17918\n15790 18593\n47356 91132\n14070 78324\n82029 90600\n38886 54516\n51082 58067\n43776 54996\n55180 94883\n5724 30402\n74274 82884\n8198 91238\n13941 20945\n68996 89621\n54031 57614\n7884 71010\n34565 40129\n46169 60521\n71250 99684\n20401 62824\n24197 92923\n61786 94949\n1690 53647\n17508 75487\n33682 61948\n22806 88336\n65850 66721\n48732 55977\n2046 10703\n59627 95032\n50872 51888\n35632 35761\n67081 77828\n21708 32755\n75780 85107\n82620 98381\n11396 43655\n16748 58636\n37410 44999\n40690 58932\n19677 95215\n40807 86517\n68441 92802\n44644 85310\n14602 97322\n30598 51074\n58551 62664\n7667 99619\n1768 81616\n2597 22150\n21637 96122\n16485 45696\n49963 50158\n68934 89175\n13364 25343\n31558 70400\n49103 84680\n23380 30948\n32806 89891\n17362 97060\n32250 60411\n84808 87189\n69236 71622\n24164 53573\n23337 97542\n8335 49573\n24868 95536\n3748 67993\n35108 88062\n52927 80377\n3088 44790\n32386 90677\n28348 47441\n30054 46806\n56876 79626\n14145 15068\n95264 97830\n9622 51400\n33977 49703\n50408 85570\n50276 56557\n11478 48476\n21730 42549\n28049 81442\n3646 67092\n11717 96562\n20984 81412\n28022 33148\n18696 30553\n48274 90948\n47018 60001\n19293 28461\n26921 63107\n37274 60695\n61075 93669\n22464 24766\n15218 81876\n48961 83187\n64788 89538\n17588 48501\n1791 38602\n38012 40128\n3030 63612\n40614 98099\n59623 65316\n54339 64082\n63122 83050\n40106 42121\n47746 95689\n24611 28938\n4793 7968\n69522 80502\n54436 79292\n3451 54617\n79293 90054\n59901 89566\n63839 72613\n10373 51365\n48353 63345\n59830 73317\n59796 76532\n12612 59787\n46689 96584\n57289 91010\n21820 53841\n7287 36624\n35011 82882\n13502 59247\n4234 86651\n15817 51017\n55013 87270\n12319 21439\n37530 82698\n47662 77886\n1428 72287\n45481 58996\n15320 58859\n7452 48923\n15636 89734\n34698 98701\n19591 25044\n9970 18048\n23702 33116\n38151 64006\n6766 30425\n83886 97716\n57256 76676\n5663 18805\n46141 52279\n27412 30983\n74844 78990\n33696 84613\n51692 73330\n61540 97178\n62395 65744\n17807 96787\n32397 35170\n19766 25741\n70589 87258\n69988 85764\n17389 85731\n28259 58148\n23041 97906\n30718 91646\n2452 22610\n19704 77180\n59645 61234\n26449 57221\n27000 88567\n31300 45925\n5968 28479\n16387 45106\n18146 37428\n19705 21389\n1946 92409\n4669 13491\n72551 99405\n30378 50250\n53679 77987\n19298 71059\n28634 45062\n37507 61740\n40103 69483\n30216 52205\n8921 94716\n46840 53300\n44856 52457\n43157 99007\n66857 66944\n14481 53059\n18606 47384\n56654 67124\n38783 83601\n3625 96839\n749 47583\n53733 78531\n16656 31044\n98438 99713\n21035 36730\n27795 70130\n34130 79799\n23177 63237\n29726 36465\n10353 57822\n39886 57849\n62189 65532\n43136 97521\n70579 91013\n47987 89532\n51041 69921\n12452 47023\n23298 55001\n39090 44122\n1627 93711\n56680 61083\n3097 88973\n80951 87114\n5296 24394\n56620 87811\n15494 94028\n28372 50577\n6091 27689\n19665 33122\n32481 58261\n61272 91909\n74909 79424\n14638 52973\n47056 99982\n61346 87063\n46293 54794\n11060 60470\n63387 89001\n36962 69311\n50869 58204\n47046 65251\n29461 37442\n21722 46229\n11869 68070\n24603 30930\n22023 94820\n56622 91480\n20121 75444\n7810 46235\n60827 80515\n28117 56696\n83698 90611\n2737 29972\n47222 57600\n13743 18821\n45208 93912\n11982 84500\n33201 44655\n30304 89604\n45140 74983\n18180 36489\n42001 77616\n7529 48191\n44721 77092\n55528 95295\n27251 49297\n12848 56510\n14705 39352\n5783 95942\n60197 78330\n62516 87759\n54048 98564\n66132 88096\n82477 84998\n12649 46614\n31128 94599\n42843 95092\n63292 66849\n35363 87109\n1647 77251\n13833 64366\n76221 92006\n34221 75099\n32765 59823\n47014 68103\n13795 16022\n36122 42918\n36938 52693\n49030 51718\n18941 40267\n22294 36941\n16645 84728\n68671 89117\n5311 26942\n9290 47025\n40894 50363\n45780 65949\n52152 64964\n10133 42145\n16128 25691\n79404 79836\n21625 47932\n61339 92616\n66082 81308\n6405 25247\n13520 67786\n6609 33213\n45333 79961\n20387 91169\n32424 84610\n36885 92374\n7370 76975\n40325 54069\n72149 98043\n35532 55506\n2089 13677\n1267 90685\n73218 74163\n92760 94197\n51796 95270\n17413 80356\n18420 23158\n30625 88231\n26430 26987\n61762 91733\n75102 80658\n34316 99521\n21188 51952\n32106 66561\n66527 74203\n55869 76990\n54138 82736\n19605 35816\n42454 49810\n46788 65973\n10321 80977\n33496 88671\n46258 90164\n57298 71336\n9186 78380\n9993 66296\n20744 72978\n17019 46004\n23663 31980\n44171 46233\n4673 30668\n31233 86932\n13238 39636\n9213 55650\n4712 79878\n358 26679\n16195 30602\n36912 39871\n55429 82140\n7322 47084\n22833 73165\n43528 55285\n7285 45653\n3304 9936\n66521 96499\n46784 70936\n60539 81691\n44781 79519\n30567 43449\n44980 54959\n7891 18277\n56285 66258\n28931 42889\n46158 73157\n81659 94126\n39776 79755\n62624 89677\n5700 62511\n11923 93169\n29938 45523\n48112 79456\n86601 91143\n35290 55026\n22399 67918\n27810 36075\n7807 60067\n69794 76250\n34977 36599\n2420 22282\n60420 65159\n12 18327\n9630 87651\n27266 63908\n7030 99994\n11890 14215\n14150 30509\n58910 65817\n45526 81820\n11620 38953\n13866 53211\n24185 69542\n76969 95413\n44844 96161\n33485 70528\n20218 96400\n12625 43423\n77289 85484\n56659 98403\n26745 82670\n37566 62466\n56408 88029\n7701 83185\n11957 98646\n30581 65596\n7943 81272\n7214 47646\n14330 42919\n37770 73828\n38106 85105\n22702 95739\n30735 91517\n1616 46746\n37508 78405\n68397 74969\n137 30124\n41611 62478\n40148 89273\n52119 69411\n16599 26157\n22492 58513\n80183 84813\n40045 93000\n24788 39481\n31619 44242\n13310 63225\n62025 95368\n25400 90741\n38962 61564\n38595 97720\n71149 90247\n264 19100\n3438 52587\n58069 86016\n9302 99589\n72134 96909\n63838 86354\n82282 95717\n35011 41449\n91871 97017\n5645 71685\n16228 65814\n11611 42906\n38996 75620\n51518 96821\n10920 40976\n36131 67106\n14 24720\n20797 95935\n57661 58075\n17149 89312\n12221 45748\n32493 45441\n81929 88160\n6585 30522\n26094 75248\n48834 75173\n5881 89356\n79566 86871\n24619 94149\n80154 98306\n2060 33093\n8784 18992\n50199 52463\n2712 5016\n60986 83683\n10102 26453\n15898 42771\n72155 97273\n84294 96795\n24549 68368\n35766 53964\n62725 71527\n57565 97793\n1021 80399\n44590 58967\n45717 66025\n24697 71013\n84228 88460\n20820 39182\n30857 80407\n8463 58044\n15269 69470\n18253 92343\n33571 68945\n35048 40385\n54000 90146\n1087 14282\n20049 34197\n20727 52673\n18443 75104\n4329 11540\n78647 81387\n69406 97082\n28377 53470\n25111 27601\n38907 77308\n52082 97423\n80637 95785\n14691 17744\n21632 26663\n18207 77092\n29904 60454\n19369 98301\n9623 46793\n1504 14845\n21892 52136\n27147 41427\n14756 27758\n25051 69853\n31103 35041\n68685 80001\n49984 69579\n31989 34188\n72127 97590\n27861 69590\n58148 93394\n43552 46173\n21606 70324\n8616 21136\n38394 98450\n13221 40202\n18613 89644\n18571 26922\n23004 90013\n51258 97654\n58301 65304\n32558 73562\n25289 81508\n16311 80329\n81564 94934\n53016 86486\n1415 28221\n3198 4983\n27937 47225\n14220 45163\n13991 63921\n30328 52800\n57744 69393\n23788 33144\n10531 86913\n70366 93382\n43761 72664\n51662 97927\n22528 79733\n46125 77499\n24442 60539\n42202 87828\n28532 29068\n16569 24723\n58272 92195\n14836 53499\n19732 92944\n43893 83334\n35189 40385\n12612 26838\n27442 95717\n35736 83183\n3853 93184\n51695 58636\n50500 50791\n59942 65676\n7526 65133\n8650 86900\n52750 56323\n30358 90484\n8433 45677\n32100 89315\n30647 40072\n57500 82569\n26859 86595\n13064 68635\n32297 44513\n19317 39569\n67782 69572\n62999 79748\n30092 30406\n53454 71138\n2189 93076\n41090 70849\n41321 70360\n40838 45840\n73854 88232\n43938 59741\n12626 17688\n50410 73812\n24084 57537\n15698 36516\n57377 60257\n3228 76630\n31387 77485\n46914 48161\n37351 83884\n14326 83781\n26284 96129\n7552 12262\n38631 66331\n4562 47205\n26784 81935\n11164 87155\n39975 68615\n9449 41528\n16089 68247\n51021 82653\n82052 98691\n16715 89124\n6826 45912\n74164 81990\n14430 85936\n44306 45694\n40353 96056\n80458 84097\n37207 52543\n18415 29072\n2675 12761\n8702 42692\n26374 49371\n47016 70661\n46146 60637\n70087 72623\n4927 31341\n8635 16677\n15123 61726\n68696 86808\n66993 90083\n31225 80402\n3073 9428\n19719 69144\n12035 89891\n59749 95213\n42235 90726\n16278 69493\n13534 21899\n23553 43535\n64530 80092\n58474 83383\n16189 66198\n46494 92033\n68743 71930\n83746 88076\n76768 94397\n44325 51341\n30981 89111\n6950 52695\n484 87645\n22051 43804\n7536 63094\n34960 97472\n10645 25129\n15817 68002\n28854 42610\n75387 96827\n5502 22706\n6250 68068\n8259 17485\n5463 23919\n5332 61784\n13485 84315\n1488 34985\n58080 77542\n2106 80986\n17632 19920\n5273 70431\n15237 19926\n61761 93301\n5135 99534\n20331 76495\n24684 35085\n63862 69273\n49349 79741\n54976 55376\n6061 81338\n29478 67505\n57277 64184\n24326 64189\n47590 74946\n7427 20400\n37386 98459\n86722 88878\n30750 53466\n8466 26914\n39066 82740\n69599 71102\n31796 76449\n35990 42017\n35792 73207\n6670 90865\n11172 19282\n57005 71640\n16149 83447\n11274 96437\n5984 39381\n19199 30753\n69852 89021\n1893 31163\n37800 84182\n23396 89165\n44861 59990\n57731 84519\n12944 67860\n40427 69599\n14866 40194\n72434 99380\n42386 75079\n35276 87612\n3250 65574\n15073 97228\n61317 93174\n67378 87435\n6281 77418\n41597 98260\n30854 42993\n316 53792\n39760 93504\n50841 63293\n1926 16706\n43742 86786\n12235 67235\n1322 87637\n2666 18107\n52841 67172\n62332 63382\n998 32599\n44323 49384\n72619 92376\n13396 27485\n49846 54988\n28289 85612\n43032 50799\n47320 88680\n70418 82124\n60279 74122\n8130 63857\n41115 55939\n84035 86790\n6929 43447\n12957 29071\n37903 85652\n32171 91184\n30821 81817\n10224 11276\n17685 79588\n3207 91336\n8106 51490\n3000 14684\n74925 90024\n6741 64080\n333 69953\n28873 97847\n6081 66331\n56068 98682\n1756 94767\n34344 49553\n18564 53998\n8692 64127\n44563 82697\n29838 85710\n19668 61920\n58411 99400\n40723 94946\n50751 69526\n6666 84649\n34410 37907\n42112 52442\n61789 70890\n41576 45612\n41484 71341\n59260 68751\n31209 82010\n77075 77867\n26519 40035\n9598 75605\n8350 76472\n43066 93844\n28635 41920\n19593 57778\n70256 99605\n96718 98425\n13495 51362\n29700 83317\n97107 99340\n13482 66392\n1404 48944\n70840 81544\n39715 78086\n64610 67596\n47196 63837\n6906 63184\n82556 95507\n16831 58419\n22170 34995\n66270 73765\n44159 48327\n83566 86774\n18573 52801\n32129 52473\n19061 35351\n20253 39764\n67859 76912\n85203 92413\n54224 55145\n4185 82967\n341 85147\n14527 76801\n31306 88263\n48986 49417\n36044 39694\n22756 53662\n10863 54174\n33636 83363\n66521 91246\n60311 84871\n34492 43890\n14313 94929\n39514 89800\n11794 67792\n43316 45946\n50364 74729\n80079 81758\n8535 18432\n4047 63626\n31842 48206\n4789 77780\n29458 79327\n18804 25373\n1059 34914\n7537 76067\n13478 54586\n50902 97032\n21071 43701\n1477 60746\n28295 82212\n57115 79658\n80232 94797\n22488 81275\n17273 33503\n37172 38495\n18866 36573\n15074 95436\n46274 58618\n16997 77488\n42666 99207\n39916 94158\n63847 84230\n3577 25059\n84977 87494\n11073 78461\n39759 61934\n11652 79407\n26434 36024\n25653 74690\n61499 84665\n60513 77692\n50000 90725\n2835 26956\n1395 45700\n33923 93989\n85523 90314\n40374 53494\n68983 69557\n11887 88620\n19954 82489\n62898 74878\n8079 85503\n37961 94503\n80534 87920\n69421 95512\n7718 61232\n4809 60323\n26020 54375\n36899 64310\n6414 64009\n36462 65626\n53723 87174\n5526 92854\n14391 41190\n22553 75477\n1219 66627\n38502 86615\n7437 97448\n25033 26102\n4929 23363\n91471 94502\n42575 75780\n52296 56379\n53735 98363\n4726 63785\n43353 69504\n75518 92036\n48806 77665\n25039 70795\n58296 93375\n90053 96430\n20169 91470\n22727 91913\n22186 79467\n5071 59149\n38894 50275\n23116 59216\n31727 88956\n6629 29789\n66191 67944\n18076 48179\n78171 82134\n12010 97693\n28457 28494\n47614 69707\n80981 90124\n34867 51848\n40830 41238\n26063 60486\n19957 50865\n49932 76907\n41742 90187\n37435 97036\n70556 78365\n10231 88852\n10027 36736\n43933 63314\n40507 50054\n95792 98735\n21679 27054\n6720 81144\n6802 34416\n40241 55872\n67902 84103\n84723 92633\n59645 75043\n6125 65571\n211 16032\n55703 97625\n10421 69722\n22397 73520\n24873 85195\n7253 34489\n37060 60006\n31619 61113\n27759 38066\n49765 65632\n34650 62353\n30028 42954\n13172 64185\n40003 47465\n51043 74347\n91571 99094\n1293 16223\n79701 87592\n55943 55979\n6032 18974\n2174 89486\n53768 99757\n3193 82105\n55121 62609\n61778 84202\n10903 71928\n18401 73667\n83965 93795\n58728 99991\n97127 98564\n25347 34973\n52344 94361\n17020 67221\n66611 78075\n13555 52469\n37015 82961\n55450 61846\n8136 85868\n69643 82734\n48258 89646\n30900 85602\n9176 34047\n67936 79955\n8452 18679\n10577 15533\n44753 98869\n7464 13689\n21777 71816\n25945 80402\n6237 91918\n44828 47125\n11035 40954\n1206 45374\n72972 80077\n23105 74998\n18106 35000\n1030 26504\n14413 19116\n38372 51713\n45584 50259\n27643 87492\n14257 54125\n33091 83069\n32831 84253\n41190 69701\n17810 47099\n40584 52231\n11559 11859\n63209 95379\n51325 86033\n37987 89917\n12580 75033\n35226 64061\n18940 66889\n34617 97228\n60000 95128\n28877 79400\n69020 70435\n69832 97148\n19808 37092\n65003 92067\n27836 31695\n55657 80749\n23253 24147\n94841 97027\n18280 78965\n4514 65955\n76919 92459\n58304 65043\n68466 74201\n13756 82529\n1557 70966\n42675 48196\n39308 83338\n57866 58191\n22475 40670\n44127 95105\n13430 80973\n2220 4271\n13460 41772\n13862 41164\n1324 39130\n13494 46228\n43534 80645\n5149 16772\n19100 29487\n52486 55645\n32356 37727\n39984 66309\n36120 68706\n1023 63533\n58921 99216\n88594 90686\n16902 45706\n52845 61667\n19875 21686\n34358 83580\n49128 82112\n84795 87856\n27528 35556\n65693 83684\n14019 15674\n51803 93140\n30608 31864\n346 35926\n18581 65057\n73251 83470\n23670 57955\n87772 93065\n37401 80492\n60605 99828\n4581 87604\n33767 52267\n33743 70384\n18117 32002\n13916 73684\n37306 70820\n27016 76770\n24400 64187\n41498 66581\n9324 37336\n11678 33706\n67414 82936\n71409 95378\n66816 92581\n77260 83342\n3950 38348\n24402 38397\n3692 74926\n18440 43106\n20494 81014\n83835 88636\n32650 97897\n38369 82838\n25300 48048\n37834 85662\n26515 96996\n28432 64101\n38735 47755\n89213 97340\n234 27540\n1821 96931\n32952 94284\n16930 50435\n6514 97449\n53286 83651\n51995 95368\n42475 55134\n40012 89447\n26107 56462\n28634 94475\n22177 77051\n10816 88721\n4964 81396\n24701 89888\n37948 68590\n65171 73141\n49059 72829\n38231 77895\n21888 90399\n13560 79174\n9490 78147\n57235 94331\n11359 39730\n38003 42257\n37959 50922\n7206 50953\n28657 46132\n58142 70643\n7517 98591\n16457 32671\n44217 83300\n11673 47389\n56073 62838\n45882 63859\n4774 89670\n9003 27198\n25124 44601\n17155 36136\n26908 42514\n24881 66740\n814 4242\n11670 39438\n42959 49828\n50572 56355\n60739 63976\n73422 79715\n49130 76486\n39487 86292\n38891 97876\n11490 42299\n56240 82182\n39209 88316\n19508 37331\n19711 52370\n9635 75571\n61159 93259\n25744 65309\n18259 46474\n64274 96482\n8933 63144\n70787 94571\n13890 63579\n3354 30450\n27340 61200\n7760 80389\n94497 99907\n57907 62007\n16327 35150\n23811 59466\n37731 69231\n4401 99120\n2095 65285\n35861 74416\n12691 36240\n26496 63645\n34048 89456\n1468 86538\n27890 57972\n74740 78842\n5429 86659\n20044 97909\n31172 81164\n28747 54134\n14795 25907\n38308 66077\n77642 96438\n10694 48198\n5396 26164\n58118 87525\n39432 77034\n54515 75087\n9962 91985\n6593 25333\n34972 66008\n25079 48140\n34331 56905\n21010 67658\n27835 87178\n11615 14407\n12778 78147\n70792 98700\n31167 55831\n11171 72775\n762 4123\n56473 72739\n51798 72008\n36268 47930\n2249 80378\n49939 61054\n10025 36735\n4337 53591\n37561 80762\n15005 47555\n37936 61424\n37676 59971\n34509 75505\n51 26637\n22751 73942\n43268 55284\n7450 68573\n45112 57174\n39392 69127\n65185 84706\n12061 49811\n45820 79897\n42444 64467\n3855 81412\n11559 70659\n2267 35492\n41373 78049\n45595 60266\n58399 90315\n47880 97563\n34088 86367\n31461 69556\n37220 64324\n11430 54242\n23595 35701\n47749 89033\n4385 6361\n6578 63657\n31119 97272\n46686 82733\n41886 48937\n64392 85560\n61465 78814\n25712 46012\n63336 85017\n6104 18157\n14172 43884\n67557 87583\n42059 57599\n8353 45045\n21874 41164\n9606 29173\n2725 79755\n37380 68134\n32147 45989\n55752 80349\n1439 93165\n45735 51147\n480 22016\n47849 65568\n40741 87097\n10927 12288\n68608 98978\n7561 96860\n28640 98594\n12296 37281\n981 57787\n702 75095\n4621 54103\n6438 36236\n21982 76369\n1321 56844\n58243 99053\n65769 82617\n24055 73884\n30559 63366\n29925 71551\n31652 67168\n46445 66037\n70785 90399\n28932 58947\n37249 79981\n23170 81003\n35226 47853\n71312 83722\n86723 96703\n21893 31942\n58491 60419\n14598 27825\n23098 81896\n22936 46659\n26695 47952\n37381 74590\n30059 81299\n23471 46989\n81206 89525\n9577 76582\n50387 66318\n4613 20515\n20080 44978\n66611 77003\n46549 73153\n45398 68163\n16535 82013\n23440 76963\n7694 50820\n61967 62161\n45364 78010\n4784 50699\n14401 21066\n73454 78315\n1646 63832\n33054 62899\n14337 87844\n70749 85775\n1785 70107\n11077 42457\n10454 29819\n85836 92623\n45959 62837\n12299 79498\n39160 50916\n21219 22284\n3040 85865\n10696 35403\n15333 25854\n61521 67672\n58817 77744\n42471 64229\n8631 42278\n6452 58682\n41979 67299\n1789 83605\n76809 79934\n7010 20237\n21481 28192\n43116 59739\n1668 55264\n22658 90405\n64282 82388\n37937 65444\n30720 43699\n39667 79574\n14883 69684\n8740 75203\n27737 64089\n68584 85442\n7202 35065\n8205 88611\n10719 20831\n3694 21061\n2154 91562\n90651 90684\n60076 90728\n53138 88896\n16879 31295\n34698 76438\n34592 69794\n1205 21317\n57086 80003\n38716 74872\n18419 79006\n27470 88287\n30932 57722\n37451 46426\n31853 78023\n78108 92633\n56693 66661\n78540 81452\n46547 97190\n12449 14932\n19952 72986\n81858 86146\n15333 84234\n16 82163\n31630 55736\n41622 69042\n43522 63237\n26830 72388\n5591 77011\n29426 59685\n19380 53576\n13944 45501\n30974 60579\n799 90660\n22349 77518\n49882 86133\n32265 72617\n37885 62019\n68904 69313\n21716 90529\n57172 88049\n4995 23364\n41690 81120\n80473 80962\n8386 96376\n2196 56342\n24300 26510\n59476 97429\n1385 48967\n25789 63127\n70450 86148\n5113 26997\n13946 65035\n30549 49394\n8227 50134\n15101 91569\n19364 72332\n25551 78324\n17679 67539\n39533 58091\n97352 98929\n5365 18997\n481 99436\n26045 26931\n40854 89815\n3698 16026\n25792 43621\n9234 93519\n19057 77157\n16966 79256\n22774 44372\n34442 58587\n9470 49772\n79087 80843\n60210 64395\n51808 56052\n2436 12016\n34613 53936\n2334 29683\n25039 38234\n14039 24994\n49210 70328\n20766 87528\n46476 71644\n333 76081\n33034 83013\n12945 49686\n61881 98126\n30307 66703\n30425 94633\n39583 52696\n19809 92019\n2351 37743\n27660 47546\n21587 65760\n53811 78622\n27538 45401\n79896 85413\n6493 6503\n8649 99507\n64620 71514\n12195 28937\n7035 38469\n34420 91486\n33944 66872\n84414 91960\n51380 65093\n19739 55791\n61439 78647\n35697 63338\n14263 83586\n59241 73015\n71157 74166\n31237 97463\n38956 39510\n27751 82162\n83048 95443\n3929 16809\n1524 67429\n56776 88830\n48442 87771\n17008 20274\n13363 34599\n58433 98968\n3032 81222\n29458 51128\n51667 96114\n5375 8334\n27645 67923\n33647 79761\n8462 87364\n45563 84118\n31690 56186\n59668 81958\n5062 87876\n52674 68239\n21487 25431\n21481 79045\n80538 91783\n16982 40982\n37215 40997\n21621 78972\n19122 39694\n14441 15798\n16526 77908\n14741 32298\n7864 24183\n47672 82950\n18487 67768\n36303 99148\n61972 94752\n19157 19202\n7544 51845\n2087 85893\n3959 12350\n62348 73731\n19285 33382\n19486 32669\n16962 52831\n71457 91169\n10397 92937\n65912 87918\n19456 51441\n20099 55437\n16291 94659\n56456 66034\n35167 39720\n92847 93610\n26750 76910\n9320 47447\n86825 96838\n58647 89437\n49972 60990\n3136 19867\n2523 54377\n13774 70149\n8900 12115\n8596 98251\n72433 75087\n19451 54889\n7621 85315\n44910 82516\n27102 96495\n17696 90565\n13290 93531\n28964 33754\n93429 96235\n4841 88395\n25931 75475\n3395 40654\n17130 37687\n35126 56068\n51117 52717\n26120 52323\n46559 58261\n59397 65333\n22923 91275\n23076 98567\n30056 54799\n62401 63685\n7497 16072\n8369 36210\n35277 97535\n15740 49584\n17549 98569\n4419 89060\n46764 96795\n48825 57628\n81260 84625\n20731 78398\n13567 77296\n8723 55757\n19627 88589\n16807 74827\n14984 36626\n13747 78085\n52833 98912\n12684 57579\n2485 67097\n22843 76097\n33496 90574\n15752 47576\n77253 83433\n14715 42774\n41609 72530\n21449 46264\n28933 99979\n273 61525\n56372 67308\n70073 73190\n3554 9160\n92181 95383\n28606 39381\n60860 89759\n1088 92278\n61141 76733\n12343 37062\n20950 41816\n13293 43141\n32842 33277\n19831 29393\n77190 86505\n17318 21642\n38826 77614\n51396 70250\n2867 15558\n86697 96379\n12945 67166\n27676 66890\n82907 97805\n1176 28693\n30761 46166\n35418 45543\n54135 98091\n58625 72735\n71564 92342\n13508 29532\n91757 96751\n4704 83907\n31835 36455\n28017 63185\n81552 92146\n47468 92777\n31215 57039\n51857 91882\n36948 47021\n64526 78313\n25308 38690\n4572 51729\n83783 91570\n1238 87527\n9462 86332\n88904 98409\n42104 58163\n13102 83083\n65293 88931\n57648 64507\n50589 86215\n53992 71224\n8060 37510\n35715 69428\n3145 24778\n4883 8947\n31718 81872\n67715 89129\n24468 46152\n2624 28198\n31146 38988\n20175 30271\n34655 87229\n36647 61391\n37224 84036\n32105 87900\n71780 81034\n44204 47079\n40553 94274\n55501 85829\n45503 91874\n17749 33420\n7906 87919\n26585 42243\n97043 98194\n10652 48268\n55099 65738\n67612 87605\n19099 78483\n496 85395\n11249 20427\n27292 38506\n35114 88424\n15301 20806\n66281 74904\n22803 48959\n65369 92121\n50249 61534\n32429 53415\n75419 97044\n47179 81355\n38910 63641\n67042 85883\n42629 44265\n6001 91128\n13251 83847\n63176 68053\n82487 89862\n50011 65786\n32428 36131\n162 19091\n50417 83799\n31633 47929\n19805 52909\n1880 34293\n32857 75908\n30413 86021\n20340 65883\n63332 67671\n27273 81006\n9466 55351\n60496 75236\n70183 94663\n755 47199\n13439 31200\n40197 40330\n268 11165\n31711 95306\n1312 55800\n65333 75143\n1368 7472\n64648 84477\n54583 80635\n59448 71257\n1617 94084\n50146 65543\n35338 61890\n81684 98052\n11997 24370\n89554 91975\n53513 59984\n24529 85316\n3187 14646\n7338 22200\n23395 43136\n29193 62946\n29470 75522\n58370 67928\n23991 59238\n20363 94633\n8830 40143\n77874 95152\n5743 72141\n34942 36536\n49096 98921\n89099 96992\n59573 88193\n31076 47867\n68995 96702\n24462 41319\n7748 9891\n28917 86969\n11361 58398\n1725 59429\n93182 94434\n8528 79342\n16971 78926\n22952 41310\n6170 62752\n43681 93048\n14041 66957\n56318 62343\n81601 97868\n8952 19728\n5946 61492\n3330 54816\n15745 30999\n83634 89146\n2060 45757\n43343 63505\n35573 48554\n1245 35791\n1921 9200\n23331 38430\n50221 96219\n55755 57492\n38413 89694\n26246 49152\n5441 68472\n41768 60736\n64398 81565\n58354 95462\n8293 19962\n14174 45756\n2815 19352\n68350 88787\n74468 82324\n27465 92515\n68631 77197\n40352 85814\n14045 76059\n51325 84224\n39871 53971\n15312 67288\n50883 58687\n19008 28347\n66935 79504\n53016 97668\n12204 85580\n13572 86722\n3694 21370\n8187 49288\n60012 76947\n20073 43183\n10811 97974\n13780 61278\n42702 69345\n48518 70768\n5917 93318\n5207 97980\n27358 41184\n54985 86487\n34294 53553\n76223 99750\n9263 50929\n47172 51246\n41236 75092\n61662 72392\n22916 53761\n2580 88391\n42420 50632\n29803 68584\n40954 44145\n35900 89805\n29168 60071\n54769 59635\n32134 77872\n190 52258\n65890 85734\n24543 48419\n5905 93565\n24459 26060\n7631 11257\n12945 91982\n67960 98918\n59940 65955\n26024 53710\n37524 94185\n66010 97946\n4796 14267\n60791 68461\n83038 90013\n3246 70422\n7508 44921\n56223 91876\n54785 61149\n35820 42568\n21628 33902\n1353 45814\n21749 44649\n19431 76211\n5599 56598\n47088 51021\n73714 83604\n1365 27610\n74318 89577\n89710 96309\n79562 88457\n9724 86784\n8957 96925\n18950 96477\n9773 89478\n31434 52464\n40214 62551\n19477 32279\n2568 13051\n30244 30389\n10179 99604\n72896 93084\n1563 91111\n49339 79135\n6721 32976\n18152 75949\n5912 16230\n30386 91748\n50541 91865\n14835 34222\n71491 89486\n12291 98128\n69548 72173\n10975 59199\n36148 51397\n47420 66334\n41305 86592\n15434 90642\n61061 76891\n65364 90592\n17473 38632\n40182 82132\n84621 96494\n51102 91477\n50602 69825\n15299 88676\n10716 51215\n19362 87525\n63724 83530\n1164 34510\n63024 91380\n43782 49208\n735 91939\n32282 69623\n19608 78533\n37592 73949\n9462 24822\n33276 75504\n49470 79711\n9231 60911\n8326 48217\n43512 83908\n7165 80859\n78842 89563\n69683 81836\n78160 81916\n22699 66202\n46556 48174\n64057 84297\n41330 47005\n38377 76162\n32175 72891\n10745 84769\n7978 98647\n61489 74799\n45163 85862\n13567 71964\n3745 55268\n28210 70017\n51083 64082\n72717 73307\n10094 74888\n46025 57813\n26244 30064\n3193 30874\n62303 81173\n25908 89785\n38553 69009\n11503 89867\n46068 71239\n23174 67214\n47806 86690\n20887 81179\n37110 72248\n46609 76463\n2422 43364\n44736 71196\n32591 93604\n24354 93575\n38240 81481\n15990 54941\n48787 94592\n72249 93683\n8983 76070\n851 17135\n46240 55579\n8192 30464\n12039 53350\n7412 41972\n85917 91832\n32049 50952\n62424 80159\n29430 45656\n5062 94571\n4988 38577\n24551 62701\n25586 34486\n24401 30762\n60901 71195\n19109 54807\n3024 92219\n32172 40957\n50060 61952\n48039 85632\n21693 53683\n8196 56097\n62931 74830\n36458 85086\n15500 27929\n47180 90597\n83706 99670\n59369 97228\n31457 58560\n25270 88065\n24663 32397\n23174 41876\n94898 98546\n17355 92897\n32980 78362\n48559 56537\n28925 45343\n79179 98208\n9764 30546\n10721 29587\n42039 79940\n29360 55942\n24683 61834\n12918 97755\n81102 87258\n7983 23581\n7661 14140\n15377 81627\n59180 91676\n12480 90634\n16595 17993\n64974 77936\n30443 72706\n24451 47695\n10857 36012\n33150 84253\n31138 61952\n5807 44493\n24282 57146\n18977 87554\n16606 73569\n78598 79849\n7130 10846\n36063 71521\n84437 88492\n21920 99260\n65649 98322\n7197 35979\n1520 79901\n17146 93155\n20195 87817\n23008 49329\n8836 48750\n4415 69761\n32451 93690\n15541 16985\n29862 96275\n39748 42657\n51678 76982\n37326 74400\n5558 77974\n6146 19376\n25491 75639\n60034 71023\n454 18164\n10843 78235\n8116 49469\n33221 70047\n42821 64263\n34225 39679\n1097 77197\n17030 66939\n81040 87399\n3664 37386\n15545 17839\n31010 68824\n85273 99235\n57299 86876\n32218 76344\n21536 41382\n15902 86506\n1303 91722\n45131 57267\n17289 18702\n31972 75862\n2835 52855\n11493 22804\n55418 82129\n15995 59092\n31596 78985\n254 35915\n45722 92945\n3251 35071\n68857 75069\n45592 69352\n52067 71656\n63548 79693\n53133 66008\n3847 64753\n63578 69829\n3107 81990\n45483 79480\n2423 62674\n13921 26299\n75218 83141\n26312 61964\n72095 80714\n27634 78953\n39747 64102\n29736 29997\n24315 83439\n50805 82426\n79704 86656\n41523 82473\n5688 58824\n39171 96937\n9627 69790\n209 53210\n5191 78578\n1662 85226\n29718 39848\n32341 88789\n40610 47989\n1434 71959\n18948 66067\n37962 80979\n29348 80652\n55978 89454\n83745 98621\n55282 94371\n43672 53753\n53382 65460\n75483 91363\n42770 64722\n49165 68844\n64223 92149\n27639 90617\n63437 78391\n61533 89079\n17284 48634\n51178 85542\n43611 44230\n3607 35714\n61288 71699\n17306 77796\n23071 79381\n43047 97000\n33508 38803\n42613 64847\n40508 42212\n13096 73972\n26082 69082\n14420 55159\n598 22406\n7562 90176\n44184 44287\n63387 85199\n4817 93959\n18506 87386\n19359 57189\n9228 42919\n61258 86871\n38842 81626\n15902 26773\n38331 45795\n8054 61915\n64605 82042\n86450 87838\n13295 41838\n34421 67184\n38860 60735\n51635 96917\n71118 84626\n32320 54080\n33072 76990\n21046 51026\n13532 68126\n41192 75811\n8708 52496\n35851 95496\n28843 35152\n1632 5640\n46300 69610\n64986 83453\n77892 91778\n24416 29183\n3000 78317\n91938 96108\n4746 70629\n65858 72271\n21402 66700\n15189 53697\n36775 48030\n61539 76772\n2341 35183\n17509 63678\n13062 82645\n2984 94722\n52488 99152\n83863 88491\n35012 56713\n6540 56283\n8548 91705\n64150 88496\n18006 86311\n32254 37156\n53459 76559\n3885 72786\n18689 48273\n31079 38327\n17116 30744\n3910 28975\n22468 66570\n48453 88793\n25742 71481\n61392 71981\n79719 99689\n17219 72761\n8875 95717\n31053 95184\n13224 78420\n48723 56524\n59077 77301\n29708 41003\n49158 56765\n11495 95247\n61520 71049\n16881 22656\n6903 52131\n29268 81200\n69908 73636\n57170 80739\n5874 28092\n37359 44439\n21466 72715\n1196 88844\n62943 98114\n33210 97166\n25910 81099\n2160 89012\n1899 10525\n20518 27672\n43399 56818\n5350 65635\n27227 82761\n26120 34515\n87506 87736\n3762 68087\n22451 56014\n1912 43733\n48802 60648\n24310 63905\n73726 77632\n6253 39369\n23505 96372\n4356 54922\n60887 78732\n62673 78119\n61140 83886\n44106 49307\n22622 50508\n38683 80513\n8325 23642\n40898 84651\n21420 80978\n82585 87075\n9731 38552\n75526 76437\n12498 19541\n32338 56965\n55692 92432\n81333 98133\n77924 84496\n22040 91179\n7941 16305\n12284 63433\n4570 76935\n77125 84806\n59101 61753\n50360 53453\n36498 79476\n5279 99456\n1098 17564\n54629 90760\n79977 83775\n28715 80379\n32810 99779\n13503 39021\n64555 70520\n35521 53951\n4135 19995\n17899 46243\n32998 82265\n45926 74859\n17688 86687\n18301 59010\n2069 34756\n78655 90877\n9215 82408\n52649 56535\n36796 48661\n31190 98437\n13879 52482\n12505 39196\n64997 71625\n27141 58525\n29527 84203\n58032 72122\n64670 74528\n23375 28824\n23005 80577\n11711 33989\n43751 62863\n61774 67259\n5310 39006\n35345 63693\n61588 97620\n41860 62937\n14576 44148\n38936 90800\n18015 56857\n34934 98911\n4974 46460\n12734 85170\n1505 64416\n78953 87447\n7256 49452\n23924 96261\n46029 57871\n27147 33150\n82211 98825\n8200 15175\n16702 85230\n6258 66023\n8581 67926\n44983 85165\n47877 96817\n11930 19436\n30887 40234\n27767 48910\n7975 90353\n63085 75669\n929 46300\n56556 95639\n56803 90405\n28006 30939\n2430 3351\n18272 64648\n34130 90486\n6583 8930\n79732 99899\n48032 94407\n7822 20678\n87 87530\n26338 45812\n45197 60843\n18587 74573\n86238 97272\n72069 86408\n79546 85011\n30989 91632\n59046 59207\n49168 86800\n59492 94525\n16817 79712\n28330 33960\n4731 75867\n30115 78460\n11087 46711\n30608 76169\n17325 79518\n41833 62836\n2079 69860\n20293 49713\n13889 25968\n61206 84785\n90346 94223\n53314 93682\n47571 54409\n40111 60950\n9015 94173\n15105 78863\n2187 13166\n41823 72721\n38232 59024\n27126 83626\n58537 73291\n8186 37815\n6435 20355\n68535 80852\n7714 78557\n76978 92340\n71799 97788\n12501 16205\n41021 57090\n57379 71532\n23400 68645\n29047 97543\n2260 24690\n41975 69593\n52917 62889\n92209 94485\n7903 44015\n56346 73379\n10048 78320\n17415 45028\n13335 14416\n55569 78194\n33478 60972\n9115 28179\n2301 89449\n12191 50721\n39732 46055\n41756 73001\n40526 65061\n68075 89485\n31663 66958\n48433 51855\n34309 36860\n64279 87406\n41201 67360\n704 67737\n25641 78957\n12597 75001\n85551 87354\n15750 33114\n36056 88374\n31508 61627\n220 3502\n40881 87911\n60733 75530\n317 44912\n20981 35900\n562 91693\n35225 84348\n17848 83878\n60654 85297\n647 9585\n1588 46040\n35637 82609\n12645 52723\n22439 91349\n49425 85837\n88401 98109\n6574 61817\n44224 80029\n13180 25537\n31201 87564\n31445 86877\n53681 96724\n41576 89834\n39873 68198\n1591 76365\n7715 31183\n55531 72454\n1104 93066\n1069 61382\n18896 48567\n31459 45850\n8030 34509\n78103 82528\n5457 88020\n18229 69847\n22203 94022\n13592 52580\n2275 13996\n86230 89397\n28119 98309\n87212 95291\n6324 28783\n47856 57101\n34800 96221\n74118 83420\n27983 80354\n27984 42039\n89162 99028\n36218 57962\n1457 30550\n10628 25355\n3248 97982\n6246 9950\n58307 75276\n65357 85735\n5440 52779\n9680 15747\n28657 60294\n8027 26567\n57149 96359\n37208 75275\n1406 68765\n72568 86341\n86612 89431\n34223 98136\n37110 39640\n570 29098\n72402 93595\n19482 33190\n28412 65036\n73803 85261\n9163 26931\n40162 56969\n46360 90813\n23939 93559\n56760 98571\n64628 81976\n9676 20665\n50200 97939\n66296 73907\n8813 96564\n70838 97642\n84255 94215\n3476 77033\n37999 52221\n29818 33119\n27094 62211\n6556 63944\n8237 19198\n3548 7419\n9360 77515\n22486 58631\n17077 53620\n25186 67291\n746 56561\n29753 71489\n3218 11702\n6414 12143\n33869 96646\n38201 70821\n32428 64003\n23021 44950\n78233 96805\n12743 59090\n9395 69222\n39657 84156\n37330 60179\n50398 91766\n51315 94394\n18299 85696\n20244 20619\n12103 71141\n52440 52726\n33091 87717\n46751 77625\n44483 69727\n8799 14343\n24157 33308\n5464 48459\n20109 95394\n82430 90669\n58387 64132\n9418 38397\n16847 67943\n28783 75941\n58844 71445\n74390 95846\n42834 51394\n65690 66429\n84413 86572\n57039 93083\n5873 75314\n25047 95650\n36458 75038\n30312 61772\n87688 90216\n38100 96018\n3753 92058\n3080 52457\n46315 49190\n17164 34906\n52496 74276\n3916 6628\n48052 99495\n30762 61857\n24602 98830\n48819 92588\n14849 87060\n10416 43587\n65320 97582\n28165 74075\n6572 71371\n35271 55876\n7818 90674\n25712 57422\n10122 95187\n7568 32730\n15910 60719\n64836 82965\n49349 73964\n28321 84922\n81255 90236\n60176 60182\n35851 92026\n6788 63448\n31392 98133\n48260 94249\n20352 43180\n28057 38421\n38572 82678\n5149 6769\n60293 82992\n16097 20233\n23329 71693\n42238 43397\n26285 54717\n76487 87385\n13125 36570\n8585 76777\n8084 41789\n25139 37205\n81746 90355\n53550 97309\n61619 94377\n10463 39282\n21058 77054\n5199 54046\n49358 52496\n1441 91788\n18207 22869\n34007 43036\n7103 61278\n72703 75994\n29007 68902\n16968 94930\n37216 81181\n7634 12372\n21132 86569\n8777 37126\n55333 91248\n23895 67511\n45797 67404\n18811 35222\n89943 96784\n39025 54427\n59660 65249\n21342 53838\n33341 44107\n65900 97643\n35795 55361\n825 61390\n28902 47262\n6102 29427\n77072 99638\n16265 65678\n17956 26377\n17675 89958\n11791 75137\n3534 99024\n21608 34087\n37465 50815\n56907 99383\n47595 55106\n2462 85936\n30628 46138\n4456 11452\n13359 25458\n7415 93881\n14863 17281\n35676 97554\n17346 91536\n45610 80464\n16085 97837\n76639 78042\n9980 28464\n40640 65204\n58240 62129\n43907 49845\n11543 93533\n80260 97245\n20880 90554\n81017 84706\n4863 58061\n47286 61631\n25996 64176\n9468 71189\n39717 73498\n42290 50496\n3396 52835\n26139 89710\n23344 23456\n13021 59369\n61532 62860\n87616 95575\n40398 48103\n44335 91867\n28690 81548\n69606 92333\n11123 45224\n2057 52021\n36845 81616\n22610 85983\n71468 73624\n16555 84210\n74589 84453\n24132 55070\n47021 86315\n37207 65827\n10521 67743\n75121 79077\n43870 65798\n4053 62130\n3558 76387\n21508 75124\n9919 89229\n47974 97471\n28167 45615\n2345 94115\n8523 75058\n17923 54784\n58055 75662\n48316 77900\n10963 90923\n29405 50526\n85246 91958\n70845 95117\n80227 86938\n21350 31136\n16817 45877\n17541 52690\n22588 93493\n34827 36779\n46821 78005\n16834 65980\n21271 87115\n55188 69399\n63767 91850\n38866 58210\n39698 86843\n84649 88248\n12688 38546\n22233 32752\n67172 71638\n8958 71658\n5072 51910\n58371 73377\n71682 81877\n32788 51611\n42065 82366\n50212 92646\n3638 64424\n78185 92878\n23987 25135\n3052 70901\n18953 38322\n75939 88316\n46079 51276\n3599 11894\n16716 88453\n32281 85611\n40926 57305\n25642 53638\n214 31975\n50035 99534\n36596 70046\n47358 64827\n46793 71688\n14832 94725\n52644 95689\n24934 40739\n2150 77710\n61954 80548\n43799 70534\n70548 75163\n47855 91761\n38789 51594\n21097 49677\n72976 93626\n15423 20992\n9542 77064\n82455 84053\n31414 50364\n21277 39821\n68088 86553\n4358 54934\n46264 84121\n22724 75796\n72825 83548\n14886 60467\n59459 92845\n42696 85345\n29853 99758\n67556 81689\n75754 84604\n41499 74594\n21302 63990\n56054 82711\n19219 55233\n53593 60163\n38980 89001\n3179 25398\n14223 45498\n47627 57351\n17043 60039\n29256 94909\n1442 11171\n64184 83975\n17401 88208\n70333 81744\n25712 56147\n78559 92211\n47381 61159\n9449 64072\n10462 15986\n42491 61908\n10212 32728\n41982 91074\n19668 30495\n10335 31989\n11322 25584\n50440 86108\n74526 79817\n53175 60819\n4543 4648\n39092 39320\n66917 73982\n282 2097\n22808 59577\n1928 69701\n34742 46261\n24551 97928\n1201 83843\n48441 54084\n54236 71621\n2373 52562\n15906 66751\n3129 27550\n60480 63312\n9057 37534\n29815 66570\n16775 93651\n6766 69560\n13126 18389\n27117 87165\n11442 85344\n35596 94831\n7579 57756\n33216 45973\n1035 54401\n37234 46758\n12441 95373\n71890 95719\n43535 76464\n16434 28635\n23217 59632\n86434 93219\n6631 78480\n28630 47837\n11859 76729\n30047 98751\n22349 70176\n5639 54382\n79636 88625\n21046 62334\n8928 69450\n80644 81875\n65105 68752\n92969 98353\n37156 79245\n56371 76028\n10160 65031\n41740 53252\n4392 79946\n2247 38179\n20606 96800\n43525 77069\n30590 34235\n37344 40290\n35629 42546\n68191 77159\n53737 83792\n35624 70058\n28179 37610\n29232 81365\n27603 63732\n19766 86800\n13619 45429\n33729 59635\n13040 81747\n47057 72627\n66656 93544\n15066 52571\n33227 79021\n45754 90126\n32040 37268\n19615 68316\n25749 33003\n19529 69904\n36647 67210\n17860 41937\n7417 50237\n1667 8689\n7093 15832\n35847 59504\n58849 69877\n58488 79172\n17626 43740\n3494 75312\n2065 29904\n4244 91677\n54563 69908\n89987 92741\n51029 66220\n69773 92092\n72572 80222\n24759 35740\n86076 94595\n7342 16511\n6850 77755\n48996 71578\n74858 87626\n2857 32323\n44238 56972\n3214 18395\n64574 65687\n49398 71937\n87120 93735\n16214 80823\n37811 93200\n11625 14720\n54108 71118\n12328 35811\n90687 99404\n39618 65673\n23220 36151\n20496 36914\n34135 70032\n59974 97041\n2237 41750\n16933 47927\n17179 91821\n28154 78973\n55859 78699\n62078 72307\n11417 66195\n27069 52457\n9019 78339\n84488 97821\n23728 89490\n6937 95942\n38014 83536\n55532 63632\n43436 44668\n41806 66524\n27108 64220\n13233 94681\n72848 88433\n71376 77489\n59564 92247\n13 96566\n21636 56942\n19078 24929\n6997 71976\n16543 61370\n39516 56220\n18758 70301\n41455 43632\n69471 98761\n56415 98128\n58991 64592\n42860 78267\n15338 53286\n2126 95332\n58147 74107\n37541 59817\n5502 43639\n10227 38426\n2205 47916\n9086 41405\n38360 41634\n2013 85559\n45503 89964\n28911 60779\n18788 58050\n58274 85691\n15845 55573\n19801 33739\n1337 24142\n79540 96180\n31675 33600\n10842 14790\n21833 46607\n13389 57668\n17751 74201\n45894 56970\n70528 91284\n23047 87043\n22355 40667\n5931 86460\n26325 63179\n28546 48500\n906 62098\n25716 46458\n17839 39890\n32634 89708\n54398 89315\n20107 64095\n20806 89613\n65854 79629\n72685 76203\n24289 64120\n34515 85784\n27714 75876\n69972 89711\n31020 80041\n7884 50484\n8216 31102\n49562 96536\n37784 80279\n48929 98535\n48712 51706\n17737 96818\n73476 98235\n34832 94523\n60701 92051\n21359 36545\n2041 93744\n47567 85932\n19052 43968\n30418 81900\n39181 99060\n43126 82418\n41771 52550\n55614 94021\n60424 68147\n30074 33541\n53931 62315\n42116 45605\n13490 87154\n14952 27892\n24721 99841\n14757 81796\n65930 78355\n54181 54630\n1866 33648\n39356 92862\n54257 67045\n39267 47137\n28987 96069\n16079 87957\n47483 70700\n65959 96612\n28810 31153\n8430 58585\n18869 40487\n1863 58943\n3539 23079\n27541 76594\n35710 94914\n83798 91639\n25491 44709\n12434 30775\n15048 81368\n15234 24445\n5544 33686\n62900 94642\n41862 77583\n16452 78501\n4339 43791\n25343 54206\n32409 69812\n14388 18573\n812 69135\n11126 13235\n37046 68315\n2442 67730\n16643 54468\n7518 75770\n29626 47676\n25487 59600\n252 61215\n27067 46574\n9807 76716\n6184 62145\n86960 97569\n11328 65813\n1981 85296\n25734 75567\n8021 21255\n12588 77546\n7199 39460\n3208 52298\n63735 71008\n37277 96191\n21335 39391\n16624 60388\n7424 58817\n232 2117\n69948 79389\n4017 40782\n26081 71726\n51366 96785\n42673 49657\n11101 20262\n42738 90217\n6573 39136\n34536 74969\n13320 95365\n73314 80739\n19698 27833\n22982 65001\n18933 93191\n1129 47067\n20625 77938\n5072 48653\n46118 85633\n40375 54552\n18707 99515\n83964 91594\n34570 80124\n44456 88717\n43995 77861\n9800 97517\n55065 67657\n75290 94945\n10798 78156\n48575 70396\n17617 25768\n25650 65557\n40995 60104\n41253 72195\n48027 51852\n57358 77002\n5538 6308\n703 97282\n19254 53986\n29616 40777\n17748 92353\n10850 91860\n4841 58357\n37719 83426\n36210 46289\n18960 71035\n21313 29040\n65722 71205\n35570 95082\n896 54621\n43290 79505\n45487 71043\n45593 84684\n27110 47972\n53631 69250\n29414 99607\n13330 51705\n55882 56910\n7580 17646\n34216 58314\n81866 90549\n33540 66970\n28802 42094\n50751 91419\n59348 85474\n21128 72118\n2884 85971\n44396 52693\n30806 69515\n51387 54921\n39790 75244\n25787 29368\n12027 98102\n30038 55075\n49290 84861\n49628 68180\n46442 85586\n37352 92085\n31037 65978\n59401 87879\n33840 60927\n14944 54556\n60125 65498\n56379 63948\n89742 99723\n2978 83937\n41332 61594\n16559 50434\n33597 97097\n6377 63801\n32899 48934\n31609 31892\n76853 98181\n80577 91599\n1527 67316\n6804 64633\n72463 97788\n23111 30814\n43269 82558\n33554 62174\n65144 89472\n35965 85768\n8005 77950\n48573 69366\n41537 83839\n342 61964\n5995 18504\n28737 58077\n14148 19196\n21586 66892\n23969 89245\n28814 89375\n2708 8756\n41632 59930\n43571 48085\n85000 93205\n19299 63698\n1950 50770\n25256 48242\n20420 29964\n19431 63548\n50786 73465\n11276 31132\n49941 73418\n10948 53975\n31516 32124\n40799 48285\n97569 99902\n6628 58849\n61982 64141\n6126 29131\n63828 83930\n29614 65168\n46687 92832\n73746 96131\n3183 69369\n9827 10744\n9660 41404\n25426 59615\n29250 74334\n42312 93370\n40400 61943\n54973 70072\n9209 50412\n5029 12972\n66032 93403\n8220 74510\n36646 89390\n38775 80502\n10373 77366\n60396 66844\n38911 51410\n32124 65858\n17186 48569\n29573 68899\n3055 80343\n67838 71526\n13677 26313\n48822 56446\n32195 99248\n10733 17732\n23489 95762\n34466 80716\n59404 63896\n25952 58181\n26157 45332\n23272 61982\n11876 80953\n43310 87312\n38558 76841\n22074 72340\n63274 87442\n27655 85537\n7526 35785\n23441 95404\n19614 68000\n29865 46901\n14962 37428\n43735 84744\n45376 51579\n23666 65455\n19356 19947\n8320 44152\n57658 87233\n55599 79536\n66876 76363\n39168 97184\n46212 51835\n10946 31349\n1280 4953\n71358 90502\n11490 46372\n15745 84197\n31628 71941\n11134 39881\n44424 98835\n25737 58095\n23851 93232\n30335 35320\n47957 61705\n11148 50041\n27879 62741\n27039 70363\n58771 66517\n17268 50077\n22433 90839\n96359 96735\n52065 69563\n5725 85748\n64631 97539\n46491 92761\n32992 49521\n93347 97270\n24753 85467\n47499 64261\n9162 79553\n33804 70297\n223 55916\n33595 39983\n42412 97415\n47 61774\n11262 35397\n21898 49763\n49454 69085\n60650 86608\n16685 81978\n30079 78276\n3187 29547\n1922 10490\n32741 56980\n1177 33216\n22895 79205\n88287 89968\n3818 54408\n60621 86613\n54495 59430\n7602 28892\n52590 86490\n60910 93589\n56003 87690\n50685 72691\n7405 59747\n61691 65479\n84398 98234\n12175 49348\n41028 56141\n24418 76445\n13856 53170\n9540 85340\n84839 88353\n4266 20856\n28440 69849\n13505 88409\n33476 51871\n16829 67678\n48917 98139\n15634 61292\n27112 99619\n22578 24108\n39958 80825\n53471 76535\n80890 82106\n7516 59023\n14931 92639\n21754 46134\n36900 57540\n7998 98890\n52785 54250\n17345 81320\n7229 38520\n8731 49751\n38526 70576\n42565 86855\n43774 94249\n65605 75503\n28458 29769\n55255 76735\n25457 71337\n21405 38512\n57324 95947\n40409 81728\n22274 96403\n41402 56382\n22817 55168\n45705 73014\n59616 61478\n9432 85470\n25653 47968\n34850 37096\n2044 4684\n63788 82682\n44515 86721\n32143 64017\n38671 52956\n10524 24084\n77926 80739\n59173 79205\n19702 61520\n4856 60560\n16994 17596\n20231 87350\n24406 53297\n83387 92500\n6393 9997\n73923 88646\n23094 93914\n28631 31562\n20529 71500\n18406 91306\n59342 99998\n1642 56163\n2574 73489\n7004 76113\n29413 79879\n47292 55575\n39076 97151\n58366 91573\n13803 29387\n75949 86035\n92256 97013\n72918 84698\n30827 52703\n48844 80673\n29951 83147\n22571 91957\n48259 79135\n14889 40656\n43026 82920\n51500 81122\n2136 33653\n16212 60156\n4346 43320\n21664 23938\n19272 57122\n10646 53546\n46777 60206\n21095 92295\n57166 83489\n58427 62788\n4694 81415\n1193 88670\n35220 52596\n9355 58827\n28381 52390\n55232 68947\n44834 73747\n12640 65627\n33383 73074\n11557 82544\n68367 84383\n43137 61408\n38792 78599\n36643 81548\n31390 53254\n51374 87417\n25185 43018\n31436 96848\n20927 32266\n51551 80617\n28306 30269\n25335 81088\n13778 89996\n7047 94526\n55455 77795\n91924 96268\n51259 99412\n21084 90992\n8990 55793\n33284 51066\n24649 76986\n55083 62363\n36719 45550\n26718 75406\n8381 71714\n17067 58604\n9353 55845\n79736 92007\n77433 89679\n58859 93031\n16193 65822\n1476 69218\n52934 71507\n15755 36041\n25583 96504\n63551 96059\n76015 97318\n10645 70940\n10812 50738\n35099 49152\n28633 53615\n23734 83763\n23396 24314\n9596 49812\n91355 98291\n362 62368\n30536 70596\n4537 13376\n5819 40560\n34593 52324\n68105 99829\n14574 34872\n8853 42455\n30138 95142\n24666 71503\n44338 65941\n33798 59315\n12167 47452\n68946 84266\n5133 76667\n38821 76574\n28037 29211\n60788 63615\n23906 35732\n11259 72990\n37911 56323\n43905 44696\n6294 9867\n51165 74327\n9998 19605\n56777 94847\n22803 94864\n13515 28878\n20989 58106\n70082 87448\n36942 96852\n46546 85798\n32496 94979\n30570 37646\n3741 72675\n5873 68719\n47839 67095\n19959 92958\n51229 54166\n43776 94185\n37930 85141\n22650 71437\n60657 94066\n50527 70811\n25740 79694\n3057 38647\n7406 24785\n40985 94949\n11147 62952\n14898 48038\n74065 80887\n453 92012\n44369 75533\n31836 68350\n28697 54274\n48523 80855\n34142 40306\n69243 93978\n55881 96164\n11659 50438\n14428 23146\n72407 83987\n2599 49998\n32185 69284\n73742 99658\n43147 70556\n35125 73678\n41889 48719\n10853 99273\n26975 69222\n20740 65970\n15092 65942\n16160 93385\n39626 85616\n71710 80297\n66489 81675\n17343 32398\n328 38256\n16471 55012\n63950 99977\n54623 69544\n31986 83511\n47747 65263\n14162 35681\n12811 81947\n14487 90145\n29353 58078\n49781 75875\n7707 65922\n38689 91770\n24338 61351\n56907 98622\n7439 45958\n48821 67210\n41722 80335\n41452 87127\n56422 69372\n40160 99617\n4311 35032\n16351 74740\n31157 82143\n36804 75450\n66832 67070\n56704 75991\n3297 33083\n45494 99743\n12736 94615\n31371 56311\n22727 86588\n8809 87528\n46827 73651\n36376 38613\n74219 83012\n7651 22568\n3277 41921\n55638 78964\n20646 77221\n81556 89180\n13329 33412\n8901 83398\n18490 24607\n79584 85877\n14665 15925\n77820 80042\n56183 59472\n83031 87281\n43554 77230\n34509 96851\n94331 96587\n38635 68074\n2645 77452\n23220 58582\n64463 84111\n40399 79672\n61521 98536\n11663 31225\n3844 81896\n35256 39309\n67295 86150\n34638 49517\n46693 56690\n12265 67723\n73447 98702\n81871 96081\n4024 60212\n7695 57541\n28274 74687\n76438 90497\n63436 94208\n27787 45611\n59969 83761\n8086 93566\n18042 98118\n22808 36182\n46317 55235\n50821 75388\n22490 68732\n14193 30498\n42320 91385\n16641 57507\n18085 64418\n44651 70774\n27000 95246\n63001 68349\n2254 3984\n13939 34670\n11261 32011\n33111 76037\n64582 93530\n10701 67526\n25297 92383\n36237 77878\n26296 55979\n39687 75258\n1487 98310\n89581 96366\n22336 68824\n15017 46855\n32856 47238\n15409 89306\n2092 78340\n14671 84465\n46017 98624\n2541 88455\n17696 56235\n51891 61723\n50503 69840\n37841 95861\n167 12396\n25954 81415\n6045 19880\n24489 41011\n10899 78942\n20379 22653\n12892 78726\n57818 80584\n26418 71535\n23474 51169\n46094 87191\n84599 88907\n34720 94760\n5140 39404\n9256 87654\n49460 99174\n4701 34214\n84492 94705\n61826 64011\n13951 99217\n91124 93308\n54716 97776\n27436 79616\n24751 73706\n9694 31038\n63971 71914\n92740 98676\n14098 98343\n62766 83177\n51677 73440\n129 46423\n27715 47715\n44651 76593\n56843 96551\n43865 56290\n33035 84548\n22534 36727\n54915 55625\n24672 47568\n47037 88845\n26100 66402\n24102 37686\n9224 69534\n8059 59974\n14263 18140\n16410 25099\n248 46686\n54277 97575\n9832 52974\n46983 72309\n33063 68440\n5644 48034\n20919 72351\n27027 34990\n82931 87401\n25151 83298\n1201 26936\n79968 96245\n36494 78770\n3905 51209\n38115 90850\n47518 75743\n9724 31888\n27075 37180\n11769 69066\n68426 91744\n86725 88973\n59306 76529\n6444 91602\n23134 34260\n22233 64487\n42881 78503\n62721 90195\n29546 92608\n49598 80721\n12476 85168\n21975 93532\n40678 95777\n56318 87658\n6895 96840\n5221 98927\n48697 61474\n36901 48717\n30238 89073\n25671 34528\n73463 85270\n820 94776\n17796 22582\n6760 27859\n28860 82113\n3847 15698\n26398 52936\n1604 10558\n6860 45769\n33486 78596\n12033 86037\n1232 82539\n34007 95936\n36410 68534\n18507 70912\n38514 44210\n71468 91994\n21377 75168\n44232 86001\n45042 60639\n38040 50942\n68211 72918\n66586 95950\n34286 71628\n68237 88290\n7675 37104\n38092 60394\n55276 87675\n91 27582\n48271 54729\n36802 92350\n12393 96507\n17889 81759\n60819 88868\n14325 60348\n88689 89383\n57509 63233\n16876 55113\n42808 52394\n33330 43004\n10561 62623\n14037 23536\n23434 82968\n75441 75468\n70075 93590\n12121 87030\n91528 96597\n22772 64049\n55102 97164\n44144 81527\n60145 81956\n8963 25514\n73381 73698\n10231 62415\n50946 75638\n70009 83096\n31317 86798\n3760 85202\n26429 81475\n83922 97816\n11102 14098\n50418 97062\n34086 58846\n34114 90802\n9005 70019\n44207 59658\n64712 84431\n48072 79773\n35765 56244\n65245 87132\n34104 90966\n7448 87744\n1664 54729\n29669 73908\n82907 87706\n40184 58346\n19459 86155\n8942 71732\n12908 60282\n16879 95680\n59338 80500\n53994 95177\n14662 36190\n17417 65274\n49722 78090\n50239 72145\n37692 68252\n80621 84473\n20562 30707\n36624 55349\n14906 16933\n31403 58531\n25601 83734\n10533 35929\n28772 33993\n10285 93350\n13756 99793\n6628 38564\n16935 93160\n17266 30824\n63755 71016\n7626 34346\n5832 41428\n31145 54439\n47991 92793\n55412 65779\n58986 87138\n16626 94991\n28379 54419\n5492 43951\n44583 90335\n13554 15860\n17198 71457\n79951 84469\n26230 26732\n26508 79640\n38420 70295\n8462 46023\n5512 80514\n7925 98121\n1614 86797\n39891 73688\n13785 19014\n19175 22418\n2043 25151\n47162 64452\n7637 16759\n55715 94186\n11713 49059\n5865 24221\n37323 96394\n46348 79082\n20069 52445\n75473 96368\n11307 15743\n31156 97420\n21764 92176\n10132 18577\n55486 62826\n48933 91873\n44975 63985\n17837 39035\n35727 38475\n57083 63341\n6616 52118\n31062 75760\n24804 57207\n5270 43517\n50869 61303\n75236 95359\n55403 98707\n18374 20508\n1375 67692\n29167 86546\n25091 45266\n35555 87916\n58295 75985\n25030 40968\n29329 80812\n12102 49441\n35235 72551\n54768 92503\n37561 78481\n18660 41685\n47640 64530\n5444 51080\n12887 37232\n27290 82181\n25975 76750\n33761 62581\n18683 83660\n34931 81644\n35657 55155\n28968 97250\n17424 56328\n75849 86965\n77238 86076\n9492 62287\n27172 51135\n17695 41967\n17808 81698\n1987 33104\n4789 15649\n61542 91506\n22026 38831\n23360 73614\n9046 11459\n3557 77192\n40039 43465\n34489 58633\n41719 85020\n42792 96181\n19371 52708\n1692 79474\n19204 94518\n9805 75734\n7853 84771\n36783 89826\n2928 78406\n32576 78173\n42118 77904\n30 56291\n49580 76082\n30810 31734\n46153 63893\n17056 38255\n60505 89240\n1667 53156\n120 97484\n21455 62426\n48452 51998\n55796 60400\n53030 73722\n72220 90630\n17818 22231\n12020 55194\n22423 56531\n59400 89634\n38372 40943\n18980 60262\n32664 98960\n24545 94575\n20460 87419\n30410 96392\n46468 61326\n23485 34572\n17302 87677\n76098 83595\n83089 87525\n34792 69115\n14094 78688\n45299 79689\n1001 87376\n66352 80032\n50129 54149\n27675 56242\n93430 94942\n18739 26325\n14574 45202\n25535 59000\n56507 89466\n15026 17802\n28465 86341\n12962 97503\n22740 26689\n46084 65758\n43088 61076\n86280 98206\n3381 89274\n28548 87065\n41083 78383\n8394 13258\n22359 94249\n46839 72650\n6731 59646\n56946 82195\n2888 39849\n40063 70113\n69411 98934\n26185 56755\n41238 91962\n43535 72652\n47907 48608\n12460 36911\n23349 94034\n23991 35174\n3526 15731\n16753 32970\n37141 89218\n7537 12360\n49332 92813\n22955 33348\n6796 86882\n95431 97621\n38842 96397\n14699 56752\n48012 80777\n27924 60395\n7054 16932\n70236 70426\n66801 95193\n56737 68292\n22299 25403\n45846 78535\n85424 93548\n8559 12565\n37637 84729\n14192 41240\n17579 17933\n22448 41213\n15252 47125\n17159 37791\n18923 94319\n57669 72008\n18393 23785\n48245 66894\n18046 94436\n2053 68486\n69198 97943\n3828 20768\n37128 74907\n2394 71278\n56398 71462\n44055 51153\n49945 65180\n9066 80649\n6009 33017\n18497 27374\n9970 89665\n18056 63822\n26241 49979\n1294 25824\n23711 52742\n59563 89793\n210 90698\n47635 74723\n35337 37068\n54493 97939\n30769 35705\n14419 33344\n12924 82234\n63288 80009\n2717 43619\n52777 91335\n35360 82034\n18857 44344\n13354 88097\n33829 37153\n13817 44669\n1416 6777\n18216 74657\n66192 94009\n50745 99755\n62531 92906\n49091 85648\n18251 46819\n56650 83934\n4581 79403\n6929 39676\n67275 83679\n3425 10809\n37162 97750\n3928 43153\n34828 92897\n2449 28666\n2532 65781\n22281 91797\n14756 30247\n38443 60294\n69152 90093\n5635 8467\n38096 69481\n39277 63161\n51595 58454\n27340 49378\n46383 96117\n43546 88676\n38880 44609\n3214 65958\n20844 52370\n23874 77299\n24725 96756\n3285 22906\n61233 93842\n22675 40837\n66919 80355\n54792 88866\n14871 94424\n72961 81202\n63563 72066\n77864 83104\n35915 68698\n89316 98506\n34114 45218\n14470 57939\n67280 97116\n49159 52422\n85303 87887\n28640 54757\n77358 88099\n10982 16869\n14896 85206\n3725 10468\n25286 52323\n2702 14440\n12758 71384\n38778 70944\n19821 45895\n10216 63561\n54141 78614\n11066 88292\n11389 63961\n11345 57877\n9700 86460\n16883 35230\n12780 41273\n33266 69745\n459 19863\n40319 80105\n39514 99421\n38141 54459\n48157 85315\n1721 73071\n80954 93883\n24381 52340\n74152 95348\n462 91573\n46468 60622\n47326 53973\n62215 81422\n71216 82085\n3217 13753\n29254 98887\n17602 61064\n44995 52524\n6327 33848\n39290 63535\n22399 42604\n4297 33066\n4562 11305\n2446 91797\n41550 53730\n40038 95879\n18546 41749\n27812 29195\n28252 45083\n34036 75085\n22468 47143\n61106 98255\n9722 87326\n56181 65333\n47500 59130\n31446 46380\n18272 98500\n31832 53216\n42939 92124\n13681 29595\n44919 78868\n13304 22314\n43692 46180\n83487 87262\n21479 72274\n23604 43969\n1612 37691\n76659 91261\n69123 86936\n34031 51433\n9939 54450\n75372 90414\n65268 78325\n3176 21390\n70870 94192\n16347 36680\n60422 67585\n85676 93596\n24392 95858\n900 8148\n6515 47742\n47433 88120\n21220 76456\n43678 69599\n2883 73385\n59817 70325\n661 54894\n23349 31481\n15325 92884\n43779 95191\n67096 83843\n2411 93240\n53970 77706\n11848 28743\n27232 73912\n37248 84121\n45757 93732\n48634 78998\n81759 91324\n38760 60406\n46408 93879\n43721 91790\n40324 61044\n23387 71762\n14502 18572\n2205 65578\n38158 71928\n48071 57303\n14416 90760\n4391 30644\n29522 86466\n3564 97944\n53690 85139\n14066 52677\n10818 64318\n79254 99546\n44637 58492\n13662 24333\n47679 79854\n34865 45032\n30631 78333\n20476 22631\n30658 46125\n76455 80891\n43354 43962\n4460 83815\n11021 67083\n27742 83190\n27138 29586\n9404 91929\n1101 72868\n11618 49480\n20795 72768\n55326 79962\n8598 75790\n18734 28158\n45074 73960\n72381 84237\n22144 39274\n27462 95829\n38392 94780\n11304 90130\n50714 77684\n18997 58411\n655 67492\n6613 45203\n22117 70833\n29416 96663\n39899 89072\n50316 80744\n73422 92440\n17047 36406\n7876 15810\n23763 36884\n16524 25940\n12918 46502\n40558 45866\n19719 71952\n8199 76152\n24082 97419\n9928 49207\n4178 7024\n71981 82962\n27 38108\n50984 96063\n41153 71186\n19204 43590\n49566 51986\n24296 65272\n41543 75218\n42773 84005\n22895 30611\n13649 33540\n15036 99135\n26191 47684\n367 13603\n54412 85455\n53104 91113\n24629 96201\n20400 36921\n56770 81341\n12630 40184\n29641 59844\n38552 94710\n45982 55837\n14673 49870\n16105 87387\n52801 82795\n35955 84929\n32577 63209\n33280 53697\n24071 61263\n27152 48697\n11868 82258\n45042 75598\n10104 55593\n20344 33101\n13088 59259\n31407 38664\n51132 53083\n71104 85333\n22194 98033\n2255 28161\n72406 90726\n26758 75839\n53214 83911\n10666 46390\n17409 29926\n6345 49307\n26332 49637\n52585 95836\n5048 98871\n55659 78982\n20470 68230\n33256 84849\n5397 76716\n20298 60116\n9890 37205\n43326 90605\n61188 90500\n11128 45837\n3031 67261\n19734 24095\n7512 36692\n73060 93725\n3685 15431\n23836 84198\n21109 99888\n43983 92558\n74789 90503\n92296 93292\n59570 94026\n41945 55850\n67062 97184\n35805 75055\n38494 41377\n11361 91711\n3014 89797\n73373 90881\n50410 52882\n29376 43109\n54179 86174\n81638 94382\n12598 19612\n44105 47148\n19305 62502\n35119 82190\n38886 55855\n10504 92634\n78958 86028\n68108 84467\n59385 87627\n21718 83720\n47535 52787\n69894 92053\n44054 69986\n15829 77581\n30876 91180\n69477 70974\n26119 45875\n24071 61640\n11265 85195\n2195 16374\n58246 59651\n43849 52135\n9215 34227\n4423 80859\n10874 34895\n2573 87978\n26131 29378\n58178 70312\n18998 99860\n17688 26096\n5287 54439\n814 92153\n81644 85062\n62346 87443\n24238 51281\n13769 32866\n87705 90696\n40980 61632\n65585 80452\n83194 86881\n49182 92398\n48219 69312\n76578 81750\n4153 76490\n20155 49569\n31663 71251\n19922 20235\n33056 57160\n51633 72622\n62007 87682\n19326 25292\n5978 34872\n46311 78254\n14081 98599\n37908 81901\n49179 90302\n27330 32047\n86816 89418\n16020 52678\n78111 78981\n13218 61238\n21368 34013\n25017 93937\n56030 92547\n10722 63825\n3185 9885\n6879 22665\n9565 77750\n1707 17119\n56790 97315\n9023 9386\n14253 87431\n60819 68182\n15004 31737\n23903 91663\n514 25661\n53634 79951\n77157 91703\n65677 96435\n17870 83788\n73413 87463\n13008 78644\n15871 24411\n56957 75032\n1101 29279\n38970 79384\n22053 63657\n73194 80269\n63861 93469\n69881 83249\n65788 93558\n58525 81612\n16719 67489\n5317 95594\n20600 98918\n13906 55183\n6525 41250\n67119 93761\n4612 77267\n223 70805\n66923 75128\n66866 91477\n58452 95025\n35833 45797\n35864 73445\n27625 72844\n17781 32233\n24304 97089\n56492 90057\n33065 64220\n40060 54742\n49648 73155\n56632 88460\n42977 78634\n57444 97262\n63317 94846\n57081 63542\n22694 81194\n28492 84837\n55076 84048\n58081 60326\n38199 84436\n36248 79158\n538 49868\n2871 16187\n14015 51739\n64829 91500\n70296 70341\n49306 71493\n43292 90858\n24274 88916\n61249 62011\n68302 71553\n21220 33202\n25286 60826\n41768 47903\n32828 51223\n14504 54471\n9792 11602\n11806 35923\n82822 84186\n26538 56871\n8143 57567\n43289 85410\n19775 62184\n5125 34635\n22625 30327\n63853 76246\n26891 73690\n15900 83338\n6416 44528\n4652 68900\n19893 84517\n73848 79601\n7763 31832\n57271 93859\n33188 57927\n722 9176\n54878 59397\n33504 34795\n55657 73225\n13563 49183\n7336 8190\n20884 74635\n8710 9876\n44956 62419\n30492 78365\n17509 48974\n33347 66570\n40373 53772\n36937 89308\n3469 11981\n46602 85067\n64950 83362\n48591 68599\n8966 58153\n4485 61004\n13602 20498\n13351 46576\n2376 12036\n14699 96739\n30388 41119\n52075 59650\n50856 69978\n14759 41927\n5429 40826\n8084 66607\n51268 57933\n24886 44905\n37065 40616\n61319 73644\n54930 80834\n63694 86191\n72695 80909\n28307 88282\n66600 86819\n38651 78244\n42751 72482\n11818 62602\n42916 89125\n71591 86385\n58177 72835\n51176 78589\n553 40023\n5838 44489\n3114 38530\n2402 28573\n80064 94237\n14179 65106\n56062 57395\n92897 94266\n13691 82834\n13440 86198\n29820 30569\n21763 60293\n57160 96382\n57120 71402\n13157 16749\n41823 82789\n26794 80256\n53472 82990\n55882 57678\n24193 34979\n3621 89676\n15477 18788\n23245 40797\n45923 64356\n30729 32231\n43236 95619\n18828 61705\n56052 78012\n65073 95108\n14848 74428\n12776 57415\n37659 73139\n2552 12091\n83945 85415\n15911 95702\n1412 64953\n16410 85697\n47084 99804\n71012 78296\n11758 92598\n60155 60698\n19127 21003\n7435 76917\n8013 87216\n49180 75174\n3854 47832\n29150 65688\n42217 67646\n42217 75897\n6661 79189\n73450 84133\n30263 65914\n1205 39659\n4011 64014\n72063 81002\n17719 22252\n9700 70933\n6308 74692\n49231 73559\n7986 76603\n16509 77413\n44628 91428\n4190 23015\n54163 85940\n43440 99765\n2986 99648\n758 25584\n3008 75724\n39720 91225\n40906 99037\n1831 21560\n27247 50625\n8288 21573\n28787 76208\n83329 95109\n61023 86619\n14952 79749\n18417 72914\n3845 36300\n32012 34033\n31942 54753\n86827 96216\n2704 71536\n25551 77797\n3784 95557\n804 34397\n5302 59003\n15019 25543\n20964 65321\n6938 68185\n37577 42165\n75929 87688\n44294 72250\n2351 44475\n48994 60924\n11598 36780\n37324 64850\n12824 73546\n6598 66849\n15651 96151\n32220 89902\n53315 95439\n60234 90077\n91969 99294\n52383 89558\n42158 72561\n20698 84479\n13163 90313\n56161 92419\n3009 86701\n38193 91805\n8211 53234\n32087 50427\n21408 33427\n5542 38537\n1394 57747\n46034 56988\n42641 96851\n10309 72688\n51782 65124\n36288 89422\n14208 69991\n6310 29335\n94804 98661\n23182 29294\n18764 83006\n66553 68288\n13582 96166\n26057 79522\n22432 66533\n24940 74522\n40721 78460\n70140 71663\n32930 89055\n1507 34939\n6229 64873\n13466 61435\n44495 87765\n19421 96975\n52715 97499\n34427 42402\n1826 83820\n54160 54608\n30459 62175\n44667 84046\n23405 39341\n38872 75041\n15783 77825\n234 35573\n18880 84944\n39256 66644\n22022 48613\n30111 36574\n40823 82227\n51185 78032\n24487 30198\n36140 90494\n4152 71351\n15758 93189\n36649 89205\n36052 53896\n35350 51001\n49608 50785\n8177 32647\n7717 14055\n28203 48995\n31796 97008\n47598 55382\n1071 21275\n22714 50457\n24839 26239\n59703 90719\n56554 80573\n38436 84975\n54239 82319\n3308 9294\n3061 86275\n77430 85425\n97085 98449\n16103 81844\n52615 69939\n10226 55935\n59839 74191\n78484 79340\n9480 24557\n62437 69197\n23294 47970\n30977 93436\n41509 44514\n27258 65679\n42835 68699\n25545 61012\n41366 84993\n21034 73051\n84690 95044\n65928 85908\n33770 52873\n78154 99422\n20252 68211\n52537 87937\n21818 67509\n29938 90918\n9631 15933\n88159 92109\n82417 84193\n67373 69944\n44817 99774\n13194 28623\n21726 77776\n6410 44536\n11485 27756\n80827 86116\n13002 99480\n83557 98934\n4963 90803\n60061 80802\n15425 41243\n36605 86558\n61940 78186\n44074 50137\n12281 49855\n20189 65734\n33942 37191\n75516 83558\n41149 75209\n15404 83968\n52727 69138\n19516 97551\n31546 35243\n13524 57240\n4409 29195\n567 96439\n10589 39718\n18101 42711\n64575 70388\n6453 80786\n28764 37765\n52686 55324\n47874 48246\n51826 73250\n31052 38952\n50262 58028\n7817 46766\n9127 98412\n65051 90930\n4020 81802\n9308 58407\n14725 39229\n22234 57531\n39844 43642\n16987 55315\n10118 55943\n36458 69974\n20021 47690\n18554 45524\n16447 79546\n35376 56711\n39078 94139\n48519 77745\n66987 72916\n35301 75323\n15940 81673\n44186 57923\n36097 56698\n6062 28029\n29500 99687\n5269 22432\n8953 16267\n7358 91645\n61629 83223\n31218 38230\n6041 40241\n59329 99603\n15387 59080\n2539 82134\n8834 78890\n8278 31657\n13994 14122\n8221 44500\n61898 72540\n11452 97700\n14737 64362\n13351 56643\n48338 93282\n1251 14724\n47250 52661\n16217 16607\n45603 92186\n7827 39030\n75085 76704\n24138 52798\n27491 65697\n82146 92545\n73550 99633\n1601 20467\n28666 64072\n26366 44252\n87285 94470\n38742 72378\n5528 85076\n32432 97854\n18020 28756\n48440 78165\n48580 79029\n40889 61530\n42875 64620\n51568 79127\n59633 76572\n16194 60354\n29521 73577\n13557 82952\n59743 92393\n5466 76175\n21856 32263\n72787 76021\n43101 53932\n30854 42091\n44147 51539\n10691 72152\n19603 97555\n4827 48187\n18915 70888\n68196 80732\n6686 80522\n29661 69295\n61920 88791\n54189 72705\n33482 50839\n5184 65789\n61932 70967\n10415 85801\n27612 35311\n13411 54350\n37941 61701\n21868 98585\n20139 47331\n26591 56619\n56576 85859\n49233 69337\n78914 79179\n75990 98859\n76564 81142\n36294 82717\n39494 74323\n21264 58682\n24819 25980\n23411 53727\n14001 38819\n23577 49332\n79751 80360\n10933 23688\n32235 44032\n56984 66453\n22344 64881\n28829 86653\n62514 67026\n2706 16686\n43236 76418\n14823 24488\n36776 71066\n22439 80999\n28712 39695\n15349 19324\n56 92325\n14148 75065\n10320 99606\n76956 81370\n8526 43251\n62786 83643\n4082 16800\n22213 96336\n61026 87711\n86670 99812\n73580 86678\n19539 23985\n23136 29404\n12133 54982\n71340 99486\n46777 54271\n57954 75585\n7636 61168\n62991 99871\n42190 44992\n48168 92616\n7437 93452\n15617 80244\n23132 55775\n44726 80565\n80908 91277\n78519 93859\n36132 58412\n2357 59394\n36128 79694\n27718 75968\n59569 97483\n9839 36542\n43503 82458\n48860 92516\n12423 50332\n36712 60488\n43210 62797\n6283 62841\n11209 75655\n10024 42512\n37442 56144\n78518 96751\n57956 73982\n11306 69778\n37820 66532\n40020 92234\n57131 96844\n11742 54691\n30720 67556\n21311 69402\n18356 21967\n4273 71844\n62223 79630\n6031 41850\n52971 55311\n11889 37866\n62190 95397\n36874 58653\n59805 60021\n26111 58628\n90568 99645\n58292 71879\n2529 6240\n49729 69175\n6447 23615\n47618 66173\n39395 52810\n34008 81145\n23962 43407\n76061 96254\n51477 95076\n52587 99941\n10796 49769\n45700 47991\n5698 36266\n19148 71354\n11043 79919\n12976 16262\n26330 80959\n11868 12961\n59487 83835\n40259 96030\n32048 57689\n3220 66141\n59049 63334\n5307 48692\n36963 82974\n5787 30297\n44869 76326\n43588 67619\n93244 96324\n16472 45769\n12980 77202\n233 27384\n6706 18155\n17406 82631\n56925 64994\n41418 70616\n73308 91886\n70375 83008\n52016 69461\n41443 79993\n29148 70860\n6542 87015\n66073 72334\n55386 68719\n9358 74095\n16020 46356\n47961 71310\n58139 60308\n17371 39020\n33610 38302\n8341 52723\n8051 72344\n18583 67720\n28752 50564\n683 3035\n58602 91628\n46906 82998\n27281 47140\n10461 59828\n54485 72889\n33454 71958\n6540 15762\n52540 68608\n33791 72072\n24041 51961\n37472 60030\n22684 74087\n29821 80154\n24408 81266\n11323 25968\n53152 97758\n59814 76745\n77616 99480\n29291 49111\n83138 86778\n20049 34103\n18601 76489\n38683 75848\n7925 96790\n60352 64554\n21833 69062\n2909 77698\n12061 38114\n4691 95379\n62947 65965\n3126 11620\n62324 66595\n13863 24683\n10786 97110\n35154 64479\n16770 16901\n21450 75208\n1515 15808\n34325 37522\n36775 39522\n34779 40528\n57292 93242\n46187 76275\n15208 33760\n11264 87054\n2174 71895\n7595 23975\n89463 92597\n26739 51144\n50203 56825\n34842 60846\n32774 48435\n54989 66357\n15352 38981\n17380 83744\n4691 82032\n10824 18890\n50399 97697\n13121 24429\n51986 62611\n6037 90072\n62257 83459\n10361 91629\n89256 89881\n84541 98485\n21470 39233\n27932 73478\n827 90832\n33492 96419\n52620 89887\n12450 25034\n13007 86095\n39878 55861\n2459 35050\n29026 43382\n30704 91359\n42721 66654\n18101 55259\n50942 93171\n43777 94826\n28493 41702\n55174 59726\n42448 56498\n82280 95155\n52648 92870\n12281 90857\n79525 84603\n350 54941\n84899 90541\n4267 51841\n17657 88696\n5254 82224\n2764 79024\n69448 77311\n115 72032\n50653 70835\n27547 69875\n25575 72131\n68113 72025\n61839 70916\n22519 84195\n1646 76546\n1851 34145\n34748 49720\n28830 30362\n326 5920\n44856 64630\n48624 70331\n39555 40209\n45757 85168\n23955 66966\n755 87979\n30227 34017\n26278 38353\n70477 97663\n18978 62035\n63639 86794\n74292 99437\n17590 38007\n51716 73658\n703 2771\n41670 86093\n44781 71511\n7753 19330\n15652 41645\n15446 47246\n60551 64992\n69756 89296\n60646 86958\n39412 67367\n46398 66119\n67086 78705\n26143 59067\n763 18976\n4585 43509\n15243 92739\n20443 33279\n19258 50369\n54915 99878\n860 15054\n44167 66138\n5134 88070\n15374 90200\n15971 84650\n28748 71526\n12617 68135\n29292 52093\n19779 58118\n3379 85779\n11818 68028\n24503 84099\n30916 95028\n2132 13077\n29653 51887\n25236 27730\n68357 82093\n7952 70180\n68334 72509\n26963 98901\n23180 61622\n71243 72291\n41021 56128\n45559 87329\n59303 97042\n5585 93460\n44584 56565\n3642 54686\n6263 20969\n5908 47250\n82247 83910\n58934 95433\n16751 30750\n3143 80006\n60271 80898\n48041 58302\n7092 65912\n29901 80087\n64351 88937\n13130 87705\n57264 83898\n80372 97677\n39902 73258\n24918 46320\n38154 39037\n23152 65695\n37410 45649\n13371 82491\n22056 54738\n21137 75261\n69693 92952\n50345 84806\n57697 76511\n62836 67051\n60815 70264\n9452 92555\n2027 92750\n18507 49231\n79079 79307\n16506 99429\n10031 72301\n4015 42831\n15253 45566\n19077 28211\n40519 92337\n60005 97920\n45461 76690\n27658 45191\n84538 90589\n2951 52173\n73102 97683\n5429 92737\n15966 62124\n55603 76667\n12357 48696\n4068 85543\n48579 59610\n19575 69158\n23852 71089\n19752 40409\n3968 97528\n20513 91717\n27195 36912\n22644 44608\n14349 21519\n4223 46752\n6674 71868\n2995 18796\n60692 70693\n32754 66492\n50822 56643\n24343 35184\n22434 44655\n44213 94734\n11987 41179\n37053 92291\n38910 90319\n89795 94567\n31547 64438\n8843 39275\n24539 45007\n4283 8143\n29573 56680\n6945 45522\n25179 42434\n20544 94036\n13195 72344\n21960 40355\n25147 47960\n10337 75929\n55813 60414\n68806 83484\n44276 77545\n46440 93308\n63166 96851\n24258 76776\n4932 74370\n64061 98193\n30409 33106\n4182 44262\n37334 56734\n53992 89988\n44418 85530\n43411 86804\n59512 73713\n23962 75291\n41648 46276\n73379 97651\n76657 92258\n19200 92513\n40982 50336\n49310 52005\n22427 89844\n38029 40394\n94273 96237\n18979 81964\n55619 94292\n400 14663\n68915 86250\n73236 89214\n55769 74130\n39989 66674\n3359 29889\n33935 39353\n19970 59116\n6229 81891\n32232 95146\n34357 46346\n11366 95888\n70627 76916\n19563 90225\n23929 27045\n30384 69164\n10929 18956\n66159 96341\n51504 87740\n8411 76871\n8200 25187\n89570 93314\n37898 62913\n3529 77887\n85565 99101\n14029 77903\n34997 76548\n4474 25253\n8625 94368\n23303 77899\n25950 41643\n34705 53714\n15565 90509\n464 60529\n43681 65319\n14142 51117\n30827 72906\n8752 84844\n20448 23038\n41610 75706\n23431 86412\n67076 86312\n11063 43922\n64441 64687\n4707 54489\n428 93741\n29952 98167\n62148 86725\n24741 48038\n28806 72248\n57409 78980\n19988 78453\n25770 95998\n58796 85695\n61548 63597\n459 48238\n16849 65206\n6214 34955\n4114 98178\n62898 95104\n21093 40590\n35777 73028\n37429 64275\n8439 16775\n2764 47566\n51268 64958\n60664 83067\n529 9724\n35638 73901\n1698 21271\n9160 74497\n6954 51325\n31133 68947\n48994 68355\n66944 94145\n28353 31714\n1935 36313\n46102 64989\n23728 57602\n42577 71184\n80696 92091\n16939 27062\n21105 74056\n21013 64858\n6611 19177\n66579 89691\n1779 39561\n45053 58871\n78163 90211\n44918 45829\n68772 86754\n24471 68173\n6105 89953\n2389 94478\n16391 75177\n40703 62609\n58941 68855\n52466 76279\n22326 76651\n19845 48905\n41835 71458\n10819 60988\n13703 34403\n83067 85683\n1042 82428\n50296 67208\n64861 96217\n37164 83595\n21119 94964\n21649 58819\n21326 33307\n55245 79758\n34049 67909\n19604 97376\n6188 73020\n18403 55646\n6497 32644\n11989 12689\n15499 34576\n15592 88831\n24048 50355\n21209 57423\n38190 60492\n12460 77025\n58009 75056\n19079 52912\n3155 63985\n66087 86900\n2657 11655\n29461 69279\n16106 72472\n45642 61220\n83549 91190\n39943 63488\n53593 94149\n11553 59288\n59875 66774\n36649 48117\n98778 99735\n59470 90273\n10150 35550\n48172 94467\n2568 6289\n36880 61634\n740 5431\n1371 33753\n9326 40137\n41822 45071\n52218 60938\n15012 95765\n46042 69381\n74241 91805\n9168 15639\n23628 75759\n15482 89630\n83601 89145\n19657 43546\n95250 97085\n48338 54000\n21386 35008\n28770 56780\n11289 21268\n65392 73712\n773 11529\n44690 89899\n2416 54033\n24530 46780\n31337 47680\n28048 90651\n7814 81001\n56879 58756\n59085 98943\n54101 55178\n70908 95405\n50497 93760\n11952 26145\n40320 99532\n83224 93712\n27859 36257\n18332 64433\n93873 97256\n48059 53526\n25653 56336\n6159 32302\n2212 62795\n70931 96975\n15514 89220\n30677 85125\n23334 43801\n1915 88235\n11952 23444\n45330 91573\n74439 89216\n49604 49700\n982 15935\n6234 12267\n17727 28759\n90474 93628\n41693 78551\n33144 49680\n28487 46489\n18261 76662\n39031 46728\n14348 25050\n44718 98836\n35891 81504\n49833 52213\n2743 66576\n6464 66241\n69609 93140\n38848 96973\n35069 36981\n32907 34559\n10812 22171\n10241 19926\n29741 82289\n38230 86814\n19632 64517\n71792 74555\n16271 25930\n38799 81073\n24860 98809\n43985 98475\n68364 97058\n7791 70797\n45461 47031\n20536 26797\n61380 92857\n16222 94022\n41737 74830\n29487 73629\n2257 78721\n34314 59251\n27444 41420\n7227 68852\n49210 99498\n23850 94159\n68517 80161\n1686 11452\n74250 78680\n2481 3690\n47003 87718\n48854 79361\n16840 42575\n16467 55998\n14674 75174\n48956 79221\n5899 97795\n36319 41243\n59938 74047\n40340 86707\n77592 99146\n73850 88735\n70081 79902\n48026 88437\n35319 99142\n19412 62836\n32056 86121\n45135 84456\n9128 24101\n55740 66933\n31244 67644\n41819 98121\n26028 76923\n28831 45552\n18380 80371\n33492 59672\n57043 73573\n32762 86916\n73256 91179\n16490 36760\n1804 15100\n15493 45662\n69385 89959\n27155 50359\n53906 54971\n53604 87165\n9334 21639\n51397 95028\n12464 16857\n66995 94329\n15856 35775\n64815 71851\n11860 31369\n64053 88442\n9037 54735\n74245 97089\n59831 77944\n4034 34687\n6800 14549\n74885 98608\n8553 73020\n25907 48396\n22959 62809\n39352 45603\n16454 88252\n24583 43858\n42223 75440\n11899 41294\n6565 13201\n45360 53565\n5421 53168\n31830 33958\n26641 54363\n17160 22810\n50904 98797\n12488 87346\n58214 88883\n38703 41390\n36467 88492\n19239 48659\n4642 46573\n50004 58530\n79402 82351\n26610 99269\n30186 50157\n62810 66433\n33996 89702\n14561 86418\n35157 74616\n83003 91490\n9811 21465\n9296 15532\n41059 68768\n31578 79985\n31689 69974\n53049 61926\n39809 96489\n936 98656\n43526 79082\n25242 70980\n66352 83947\n19729 86244\n70048 95037\n24297 55282\n70006 76133\n13089 64412\n87852 92003\n56505 63740\n17489 66093\n44279 62571\n13657 89681\n39534 97517\n87500 98235\n36876 85759\n38217 92438\n47052 98617\n16714 39305\n27135 92572\n16069 74427\n33896 68854\n19248 94736\n32529 92486\n20160 91171\n47381 47869\n63908 70903\n21969 57316\n81851 94216\n50909 56008\n10534 82104\n12909 78610\n16705 84048\n66468 96447\n15246 49612\n38171 46524\n7865 24645\n10697 32153\n65508 94993\n89037 89628\n75583 80292\n2059 86761\n44237 83230\n65698 87829\n32626 92295\n514 94994\n7024 11249\n6530 56461\n26904 62841\n8208 87093\n92049 96546\n8492 11512\n17340 22080\n32740 33360\n66455 76337\n16704 94234\n39833 46854\n10399 99853\n37031 43000\n28897 74226\n39089 99584\n59046 70840\n3576 63471\n19961 37586\n44494 56796\n34147 51385\n60165 93652\n12286 94918\n36001 95199\n3142 52270\n26644 32852\n78994 88798\n32245 98941\n35144 94214\n38804 43488\n59945 64524\n16677 95659\n7438 42218\n68848 80492\n33403 99542\n43355 80478\n63737 73756\n50342 54193\n38201 91523\n67676 99342\n41109 52131\n22113 97786\n42929 53379\n91812 95513\n19699 32309\n26646 72134\n65897 90531\n61013 64528\n2914 23242\n39061 86140\n4917 36347\n30600 93274\n31390 37638\n33792 41650\n5099 11716\n19280 34702\n10761 23552\n26141 87488\n13543 43515\n53866 68989\n21081 39871\n83667 92388\n1565 53645\n53050 90918\n28583 69892\n675 93620\n87128 89165\n1415 26307\n10140 56324\n8205 47450\n25110 93411\n42056 71976\n43712 66380\n36468 74964\n52955 94115\n29948 73185\n23165 98430\n6702 73061\n50025 89583\n11997 85467\n25581 87253\n71707 92760\n1213 15136\n41914 88429\n14266 18072\n38484 77093\n62748 93138\n3746 96157\n11630 64910\n19846 21704\n72705 95497\n4806 65638\n4267 79725\n48726 70968\n18659 86129\n38606 61738\n44942 61519\n82332 96074\n62625 89167\n30782 52412\n43215 81878\n86279 99402\n46602 94422\n62908 97188\n7415 52028\n48614 72482\n68293 99023\n25818 61782\n53657 92168\n18645 22069\n20069 27591\n26740 83015\n22274 89098\n23239 49884\n36990 75692\n30260 59159\n82832 93674\n48454 77776\n19278 97172\n1357 57132\n91599 99748\n41743 91446\n41947 75116\n11267 21861\n44763 51802\n18355 30967\n63543 79725\n24224 46373\n4012 35171\n23495 72073\n46565 93916\n29719 81593\n46591 92930\n34496 89019\n1175 9826\n34153 96987\n5011 18104\n21359 27795\n36471 67516\n73048 88306\n11300 14878\n26576 82235\n20353 74707\n81994 92569\n39137 70731\n10325 62713\n25864 42689\n43163 78067\n73723 98918\n13810 81511\n3973 28993\n49782 53230\n83508 93936\n44734 72990\n64070 77697\n18226 97312\n7976 10251\n45501 60812\n3749 43261\n15269 73402\n39576 53417\n7482 43764\n67765 89262\n28117 33962\n532 12507\n41190 98055\n4500 99147\n60218 76141\n7089 79464\n15716 90621\n72368 89354\n46099 57850\n11667 43258\n80067 96451\n6495 98873\n38045 70371\n32993 58812\n5790 53143\n80105 91971\n22166 82607\n11219 39943\n4658 82644\n38542 56706\n19106 53498\n30951 37977\n53303 54194\n7445 26598\n49108 56953\n21155 67461\n26833 93546\n2800 51710\n1000 94898\n11835 93792\n26319 93530\n10946 58492\n33937 49514\n38561 80068\n39276 79336\n29876 54590\n37001 39585\n9978 86114\n31809 65740\n9003 86712\n15499 39964\n5649 12181\n3547 20785\n73844 76802\n16487 41111\n50877 67934\n46908 96835\n7615 16657\n27763 56737\n35557 59366\n31729 50590\n52125 56622\n20684 40998\n39761 98412\n59883 83241\n31916 96119\n27063 38663\n4476 59469\n51433 97026\n34340 59390\n4615 96386\n12716 58853\n12584 65182\n20748 37174\n38141 73235\n322 56001\n26498 26682\n19137 95947\n25917 75608\n60740 91947\n57882 68828\n343 62304\n61429 64610\n72041 91062\n59297 76719\n60963 68119\n75999 84980\n61671 93714\n61237 84115\n27159 35236\n6181 92580\n64609 78807\n3015 85836\n3002 77379\n9917 77402\n59789 90161\n94653 94669\n52992 54894\n34675 76580\n45373 89071\n54152 95388\n39165 58819\n25180 47925\n70332 73549\n38476 64675\n71284 91529\n61890 74846\n24138 86986\n25548 77478\n42950 77205\n15645 51566\n79250 93111\n74489 75650\n72912 76415\n3071 11798\n35601 87128\n5527 93162\n8135 27791\n15930 26293\n41345 45682\n35750 95996\n60945 62549\n20777 94862\n63945 82318\n5519 17321\n97137 97602\n54152 58583\n9281 63173\n26878 69051\n31097 75585\n17020 45516\n37520 93346\n41881 65240\n58629 79589\n35995 79649\n62362 63924\n24902 31316\n40232 66418\n79722 83739\n60216 68990\n35331 49446\n26706 52748\n55158 76044\n5384 98732\n8323 23891\n30564 47511\n16560 43490\n57846 95615\n40822 80640\n53065 75361\n82086 82957\n88727 90119\n46385 68480\n43033 87641\n28774 64762\n24341 37498\n13108 82479\n51543 57950\n37208 94496\n83717 90822\n2633 13559\n67020 81713\n54555 67085\n30597 59042\n1292 5374\n37897 52877\n42614 80680\n17455 27832\n19603 72687\n16480 55387\n9635 10587\n9351 46424\n40541 89919\n1127 77191\n20631 74197\n48784 85780\n14286 98737\n24935 57132\n42481 51089\n23893 51836\n29608 31969\n29679 57293\n41924 95232\n70321 88701\n69322 76557\n6398 71441\n44482 78786\n57089 71021\n2122 31699\n59044 81578\n21934 91045\n10964 18236\n48929 85493\n14054 39294\n18414 82345\n80408 92498\n26372 43319\n16567 41865\n24069 99586\n27134 94810\n32608 62390\n20798 42836\n59958 96401\n5958 94112\n5270 30647\n6011 87551\n28608 35075\n19776 92151\n4050 60252\n9612 24502\n46779 87016\n17505 48172\n13454 30860\n175 90232\n25384 78321\n17191 77306\n58232 83234\n97480 97583\n11073 43050\n20564 24562\n8066 24927\n22117 94472\n23425 78812\n31055 78627\n9387 40303\n37019 61210\n7273 72243\n75502 75831\n35538 75970\n49001 79820\n6334 24843\n17817 44438\n10614 20745\n55251 93681\n8696 40727\n40990 82414\n23190 99386\n1219 49512\n26663 89169\n32044 32630\n63335 77869\n12132 13392\n9642 92637\n26527 94661\n49875 93864\n29129 63750\n19982 29140\n47553 64671\n42521 82371\n8052 28219\n8021 89679\n24891 84372\n25613 40668\n29548 50901\n37133 45585\n23095 64684\n46262 99425\n44085 53722\n68527 79478\n9639 92896\n46035 99524\n38649 92664\n45768 96047\n25371 27207\n81884 93419\n54840 73263\n5192 34192\n52355 96391\n53238 67944\n24035 39941\n24622 59010\n52748 96844\n7932 24382\n65341 66253\n11083 70514\n51839 98865\n43655 52221\n13255 55976\n8371 29931\n27684 97794\n66318 93275\n31745 61051\n2911 23858\n37162 44141\n49114 76352\n11385 86074\n18734 35318\n7052 77198\n17825 65033\n29248 32530\n10598 39389\n495 41739\n9072 67460\n11073 39747\n59760 63513\n73952 85086\n81849 94386\n18001 77250\n28520 61806\n3775 55821\n55840 79665\n21493 58211\n25851 83928\n415 93726\n29968 46715\n11318 48516\n72744 90040\n28138 87490\n37633 66448\n20453 26648\n17318 48723\n541 88359\n10224 19841\n66710 70113\n37618 94072\n58699 90726\n47435 67830\n15529 74733\n56160 78224\n53946 96049\n4441 28261\n17145 73261\n52156 98522\n70422 81704\n36360 47245\n20012 54366\n34555 85589\n17058 69520\n4399 29344\n9803 24872\n4426 47074\n1303 17434\n37804 89156\n82056 97246\n66961 68399\n51900 74225\n13993 68303\n88793 93380\n31681 54967\n14953 27451\n51002 81255\n67895 99893\n61264 79015\n5671 56068\n40170 52120\n6899 60157\n36294 93372\n37219 73059\n87781 90732\n2506 46726\n2425 64833\n95776 98884\n69822 81414\n49104 94946\n21965 97826\n90589 96320\n14007 67164\n40622 86649\n34444 58436\n37338 77882\n40359 74253\n14595 85663\n99381 99941\n16556 44316\n44427 88416\n42505 46338\n41255 85908\n5270 7195\n15857 97954\n21426 22000\n14703 59441\n34866 59087\n44597 67743\n32666 48093\n33717 84073\n3001 22449\n13919 19480\n47360 58847\n908 96913\n6437 7294\n52237 53131\n33840 96678\n9363 18594\n21431 75609\n62509 90402\n8221 35027\n8979 56198\n28259 85676\n48956 77564\n14545 27832\n15244 75851\n56371 59411\n15446 66760\n10685 81299\n46146 64119\n30334 67879\n350 39476\n6457 73663\n20205 53466\n18783 78466\n22860 76684\n13584 26607\n1950 96814\n98568 99082\n53497 91640\n14952 16545\n37340 90333\n23353 41901\n41211 97298\n78672 96578\n14603 74265\n1742 23425\n13115 29518\n60036 95275\n51603 58301\n1347 96851\n64080 81290\n17805 96867\n45773 90004\n20616 58755\n46199 79710\n41862 86333\n25608 82463\n96906 99590\n39403 65590\n48549 85790\n16898 84899\n26241 74816\n3591 52210\n4144 46842\n1740 21707\n30732 92134\n474 31463\n86200 89249\n3432 27579\n13422 64393\n24428 26791\n4313 62616\n15499 27688\n15406 61682\n59481 67034\n33922 98353\n79576 99738\n335 48364\n63756 65897\n7427 64831\n22733 62285\n60138 64717\n50167 55981\n23595 50165\n62376 83320\n26639 41924\n50637 84560\n19509 39468\n11856 26169\n83237 83422\n25562 64923\n3502 54511\n84930 93571\n8465 35417\n76615 99043\n18383 81668\n27353 31025\n46206 87440\n60096 89976\n70857 89550\n10941 69670\n13484 91883\n24787 34038\n29506 73815\n92061 98762\n52900 66061\n67875 95113\n9808 76853\n33018 85923\n82425 89888\n7308 66419\n36158 85037\n31278 66238\n35148 72755\n3962 50814\n1408 34512\n21098 61619\n39873 72383\n34989 90636\n12065 84297\n63181 83104\n24805 70501\n13753 85866\n65850 89016\n2587 98280\n40952 59049\n21784 90149\n1161 20547\n7757 9048\n1257 88710\n22698 86825\n9472 41359\n32478 67483\n18338 91307\n74160 84859\n68185 74426\n43966 67451\n37017 84720\n38830 91520\n58694 90835\n7880 39423\n8601 20375\n29940 87852\n33681 90708\n38991 61418\n32479 51529\n54057 76359\n13680 29276\n39552 79599\n11405 68493\n25612 88231\n12753 59437\n13884 41750\n30992 46114\n25752 83633\n5047 61939\n14062 73917\n52831 88112\n48926 96884\n29873 70502\n13726 34420\n73763 80073\n27814 88598\n45925 49151\n7614 75094\n8249 62788\n6573 26749\n2276 41091\n8550 49748\n2538 99942\n42078 66566\n10797 71862\n14740 90913\n48486 54345\n395 67868\n71308 92088\n72073 89241\n19940 48452\n6445 33950\n25530 58743\n60141 71747\n33540 91222\n21081 73204\n2331 47329\n991 5508\n62940 91355\n30783 90336\n17251 90392\n7401 40181\n54637 56314\n56478 74453\n21767 99787\n38780 50342\n42474 69371\n45913 62982\n45878 62701\n86968 94290\n41455 70801\n6129 13522\n16401 30363\n545 64278\n90566 96767\n37648 38784\n28005 40327\n27995 29209\n25022 77996\n16809 61646\n41659 71500\n527 3745\n18943 21960\n40516 80427\n2122 39188\n48049 55815\n62557 76413\n19639 87932\n30461 71854\n25836 74163\n56123 69597\n12807 45003\n56633 85328\n35791 60757\n80052 91293\n46737 84794\n45248 74757\n79559 90939\n34765 92591\n73465 79980\n15361 94434\n31903 78966\n16464 29610\n30386 82932\n6573 75869\n8864 41098\n36435 99033\n1217 68645\n35956 41572\n48527 73131\n41758 48896\n59209 78707\n60282 86732\n31401 75597\n1239 26499\n60304 75665\n36613 38796\n40685 68995\n20367 96889\n10845 22047\n38604 52749\n372 82210\n22047 81358\n48611 54434\n23740 48212\n48631 82784\n5994 36594\n12971 54876\n25681 94643\n16288 99155\n61851 97052\n17107 96956\n5413 25994\n40309 81371\n4711 22913\n963 37031\n43018 44420\n39504 70905\n61595 81576\n44209 91237\n59230 65218\n11032 62374\n17074 58594\n8054 69105\n61190 83517\n12738 42980\n75452 97678\n15222 99209\n15603 31711\n6529 68321\n27952 49206\n1504 13399\n31508 39330\n38182 66803\n15012 21581\n44471 52674\n853 39266\n15264 40035\n3044 23015\n8626 73613\n53606 90464\n9681 73548\n34833 72212\n58991 83554\n8240 76066\n67895 92741\n76908 82356\n65037 99128\n53902 98577\n18575 22628\n10809 92593\n62281 77681\n20697 28022\n42673 55513\n45101 53023\n16077 33141\n10823 22073\n96295 97417\n52888 78877\n32746 86532\n46445 98402\n44105 67491\n33341 86723\n45382 52865\n13892 86811\n9524 80282\n12459 13139\n10161 39735\n48558 98623\n28562 39572\n56386 73761\n3011 59987\n18404 82043\n7919 91552\n90745 96054\n35313 56303\n14912 30228\n43094 89180\n46122 77961\n83306 99572\n7051 48796\n46136 71355\n35539 43954\n17417 81409\n9456 63405\n19201 40143\n52055 58460\n54983 94809\n21791 77331\n48154 49601\n67940 79426\n62429 92938\n57156 95915\n34389 50416\n25817 31458\n22505 78529\n84855 95772\n67280 85634\n14961 71619\n28171 72545\n44351 68455\n14345 51653\n14201 18281\n84539 94605\n2599 41714\n36706 73733\n1528 85215\n42853 79748\n60351 99917\n15487 38312\n43906 77285\n11551 68805\n27802 60038\n39129 76120\n97504 99258\n2101 42571\n33983 43253\n23933 74245\n34961 79033\n71993 84554\n8049 20182\n22868 40682\n42310 54118\n14253 56801\n14249 97063\n38120 82333\n17552 91945\n16959 83395\n28395 63983\n44147 70634\n18699 70105\n61723 69460\n54417 69395\n25928 61453\n31600 32888\n29638 97409\n74517 85875\n3777 61234\n66565 86295\n82596 88895\n46283 84517\n25262 96730\n41916 76863\n87161 94265\n12634 93539\n38845 89646\n34265 58779\n11892 34447\n44114 45321\n18539 67837\n57745 78145\n19346 83119\n44839 82545\n51653 98483\n59164 82424\n10703 77707\n18945 56732\n18403 38689\n3175 67369\n88208 99057\n14989 90594\n56159 91438\n31615 97053\n50454 79952\n66490 69966\n4050 34474\n32677 70124\n78687 86795\n79598 82351\n50597 88882\n25431 53029\n6224 17037\n13623 43466\n7358 14939\n15599 39766\n55990 92866\n27586 37704\n45689 47230\n42219 55890\n17924 28854\n1887 86394\n42684 52705\n33930 96171\n15234 16321\n21391 65639\n84100 96059\n48211 89719\n13131 94245\n58263 74742\n62076 85469\n32464 70757\n51971 55800\n13525 70256\n34531 47898\n31661 53152\n10169 65659\n8319 96154\n24809 31021\n84934 90589\n32433 75601\n37929 60449\n19523 66556\n31813 41535\n79893 96898\n62360 86801\n23130 37969\n5434 44000\n12397 37882\n9748 66554\n22900 70606\n63652 84026\n62912 98616\n16936 25310\n43159 87454\n65719 99987\n44940 59936\n4304 29897\n52241 53268\n42490 49804\n89530 97256\n52515 70715\n405 95120\n12568 76202\n59059 75163\n2457 72624\n56519 64627\n11851 61658\n8661 49784\n16953 28759\n25228 30680\n23236 86621\n58245 79524\n88921 93909\n7296 34356\n11835 78468\n67435 89532\n82775 95745\n43386 44356\n19370 97449\n3026 87393\n35104 39007\n748 71917\n77144 98515\n41061 43696\n59907 81620\n5262 45255\n38449 50324\n50468 65953\n26847 85926\n71157 72239\n2192 93950\n11846 45191\n11845 72956\n16297 73360\n46942 66310\n23834 34012\n49646 63159\n39820 48965\n51194 69525\n38929 55759\n84960 93794\n49593 85703\n9652 13714\n13653 77381\n15703 26663\n21921 89046\n21920 42685\n48512 79794\n68699 83467\n11344 36424\n33805 62781\n228 62688\n8935 83067\n24471 81963\n52401 99735\n135 82904\n40415 64627\n962 54383\n64445 89937\n24419 45425\n48054 89389\n69783 84289\n14665 41579\n39530 73646\n65084 99581\n56694 84634\n32243 76091\n33042 59747\n65417 68926\n29310 96096\n20030 33472\n11895 19732\n51389 87279\n16012 81354\n50989 52061\n74206 78334\n16065 63901\n29890 55307\n28661 62958\n60006 97335\n33249 63352\n25633 82129\n63529 95000\n58464 87762\n27108 30983\n11728 85829\n3889 32491\n2363 4235\n73574 96564\n59266 61975\n30190 33778\n5673 30472\n20948 43088\n45076 72725\n36949 89204\n60385 86938\n31352 68281\n37798 63354\n1650 67022\n13476 48868\n15134 99839\n49960 71605\n3328 36319\n5331 7225\n31528 73999\n11210 28655\n12762 60597\n24861 48216\n16692 95400\n60476 73193\n3568 84972\n45693 92146\n34821 84579\n3575 8804\n51475 86555\n58774 69948\n56792 83815\n38961 58461\n53146 57278\n52818 88150\n58314 86672\n21283 96961\n26293 33935\n16238 97647\n25272 68696\n10942 51183\n17525 40613\n33527 92147\n48923 93581\n33162 45117\n70810 71806\n17629 89447\n40025 48547\n76155 98472\n15230 70488\n20650 54101\n54967 87474\n6408 45997\n44806 63461\n23675 53600\n16458 51793\n38681 85457\n31616 37082\n89487 91643\n35199 39414\n57274 64642\n47788 80719\n19788 97195\n39649 89579\n25438 64517\n18155 55817\n41492 74779\n23350 97533\n28729 51098\n16140 87551\n64470 95777\n54654 86911\n10536 82134\n71323 82652\n69070 94102\n61525 81449\n8081 55726\n19353 88181\n53250 98617\n36826 37053\n1265 91367\n88690 99794\n58252 66067\n28064 63951\n38146 69200\n1249 36319\n84482 86172\n4728 73264\n40458 95283\n20726 81730\n79503 95253\n26878 36721\n40693 64108\n25052 93156\n58844 90562\n84388 89066\n68100 70666\n15525 37356\n48971 60273\n50391 86940\n48017 48303\n68527 79446\n22837 80258\n36462 87620\n60329 73847\n57231 80959\n21637 78562\n44570 74259\n45679 66993\n64932 73739\n32005 86937\n61776 85071\n59854 86287\n7297 91221\n25263 66086\n45079 82649\n4239 70235\n811 23731\n16132 28804\n22954 93818\n3690 87522\n78105 94651\n59299 71802\n18877 76944\n34439 74615\n40266 62064\n46085 78816\n12715 18594\n76490 94321\n43552 61359\n58171 96275\n11058 27046\n57589 85856\n936 48856\n15248 19890\n61231 73684\n59213 66327\n9678 71037\n9304 17562\n19661 65282\n20486 97041\n33820 85529\n2030 13238\n39580 63390\n57316 93458\n36197 99853\n33078 41994\n80868 88420\n57072 82074\n430 77092\n55484 74059\n48338 70510\n64602 79583\n6066 96744\n30379 73570\n39418 91151\n21695 79957\n10146 38778\n80405 81483\n43522 71654\n15369 31247\n74263 95218\n49494 82173\n25334 44412\n13542 89961\n41376 90593\n4508 84154\n74368 97604\n5114 8815\n3810 44850\n8263 45254\n9812 42196\n82139 95300\n57395 86958\n15906 21287\n36623 44403\n33189 48601\n7812 55746\n27465 52090\n30612 55480\n12630 50524\n12658 13478\n15920 89666\n51980 53457\n19429 64818\n73712 98851\n81483 98803\n4818 95842\n24406 35530\n55031 71730\n34301 93520\n69577 94545\n26383 71990\n39700 74388\n90872 96890\n58397 66647\n76098 90941\n30999 35745\n51342 76931\n51708 69878\n69259 86800\n14146 98675\n42314 77924\n27673 51484\n27379 69394\n12908 56438\n58768 75033\n44277 54042\n26052 56836\n8592 80805\n40561 84914\n29094 75970\n54667 99370\n73782 97555\n83792 88070\n95458 97762\n33967 98591\n2828 48385\n18895 65693\n11096 16445\n2136 48792\n14263 40384\n10780 96340\n55081 64720\n45608 63491\n3885 76501\n65658 96899\n40351 83531\n45658 74358\n10046 92342\n555 22291\n18017 79175\n17999 99629\n36890 44395\n31330 87416\n43445 74072\n52362 56755\n53796 94370\n66126 84237\n26262 62133\n42574 55815\n66031 82714\n72939 78264\n17511 45246\n64653 81343\n29382 38721\n55080 97169\n42413 54445\n32617 92902\n9767 25041\n7552 86119\n20478 79946\n33179 64462\n80530 87708\n45578 78824\n3087 98521\n10411 19183\n91430 92258\n78963 95788\n57260 77014\n11685 92514\n58695 61956\n47273 82403\n457 47665\n32193 74913\n13280 36732\n4922 47985\n26244 71076\n28701 48255\n9378 69812\n94024 94299\n18561 34204\n23356 74787\n4941 18042\n9588 70850\n79578 92906\n29829 82466\n5626 7271\n35799 82859\n52877 69344\n15791 27489\n8616 80247\n53155 90988\n26708 94990\n45509 59215\n67755 68830\n5293 25644\n31010 74794\n15029 63237\n58247 66898\n66061 78573\n17503 52159\n19460 38312\n35024 70244\n21902 82170\n4643 72309\n589 68038\n64944 90279\n46381 77218\n29639 61929\n70651 88808\n40219 60117\n24050 95924\n61769 97947\n17019 92376\n18356 23216\n20269 66427\n81565 92778\n3977 96513\n54267 90384\n44863 96743\n12482 55833\n47765 74034\n39212 98104\n49766 93409\n3209 26110\n3528 71889\n28993 61060\n37627 67401\n15950 27422\n59741 61876\n33069 99897\n32753 41325\n27126 51420\n84885 98687\n56851 68446\n48293 62837\n17952 27046\n84235 92063\n8983 95187\n13921 51750\n52082 59044\n75781 98049\n33115 56932\n57099 57804\n70167 75629\n22555 51309\n55124 70849\n19527 40058\n5848 95946\n3363 71852\n21064 62053\n68475 91927\n77051 84326\n37121 59956\n64766 92423\n97635 98158\n43925 62493\n83135 88105\n51138 52121\n52042 96675\n45292 54287\n12392 25492\n69608 94681\n8063 97413\n33296 86860\n20416 87727\n19130 39954\n5439 78035\n51985 62107\n59953 91349\n11849 59858\n18504 40577\n3454 75254\n73556 91423\n25722 71361\n10988 63251\n7925 14356\n12610 22645\n8862 43917\n72489 74404\n99591 99726\n42668 69708\n30461 61403\n14130 33032\n3811 18624\n26024 84425\n52138 84486\n3839 52745\n16481 32142\n39950 44446\n30437 83380\n10394 16069\n51835 74343\n89727 96371\n32878 80403\n9201 86868\n3640 66820\n72891 75528\n16448 21997\n79303 97314\n42956 90142\n33453 52719\n26423 39114\n18268 20050\n8093 27042\n30372 75795\n29548 68444\n19045 99853\n45280 91194\n9363 37417\n86052 98009\n16056 27764\n53672 74428\n10708 73586\n47242 60920\n36295 74884\n11847 74631\n30403 58731\n52348 65579\n20771 90342\n45074 50327\n3138 36878\n32874 56562\n576 39578\n80099 88351\n24601 91261\n60128 93837\n14037 30964\n80838 99259\n40538 83612\n78777 94902\n8621 9600\n37504 83146\n17607 98644\n44980 84410\n70124 89330\n12714 86194\n5195 38182\n48476 65677\n42824 66742\n44638 91767\n11172 65580\n7162 80917\n70962 94746\n78982 98248\n66350 97786\n11193 73197\n2920 24276\n35556 89168\n70962 84772\n62806 79143\n59429 66578\n28842 63338\n54063 79686\n12694 63214\n12027 86755\n26054 35284\n18205 21240\n6902 91272\n71352 86534\n24040 98646\n33827 90380\n79319 87557\n28909 58454\n21494 74490\n66078 91326\n11157 31730\n11905 75013\n21528 86595\n47630 79691\n40058 42596\n37272 75466\n16648 57557\n33651 65431\n18984 87770\n5519 33103\n6283 18640\n13767 26991\n48667 82996\n75306 92184\n26413 90613\n42100 57796\n10277 72024\n1396 64501\n27379 66374\n17517 49997\n18519 50433\n3595 17911\n27554 71823\n20936 94788\n47993 64559\n91134 92013\n37443 54225\n44620 84191\n35598 40029\n32629 64405\n3843 22881\n21479 81234\n33525 40230\n19530 24745\n8140 45278\n4461 75273\n23143 79613\n24355 80451\n66842 93759\n26847 90228\n3969 27023\n21556 96475\n44039 94127\n65971 98911\n50992 55461\n56639 91088\n5586 78066\n39886 71354\n43631 94715\n71562 76125\n27476 70471\n62985 90897\n30879 82830\n75617 91598\n29371 69508\n41157 46664\n5464 33020\n4772 86205\n29965 49157\n3453 85625\n4112 44530\n22766 25424\n31454 97866\n2075 30656\n13265 69576\n76222 95115\n22320 28780\n8564 51059\n14667 95193\n34665 54257\n13831 73283\n74902 91693\n34112 55944\n10204 77113\n3040 97877\n10330 49091\n25663 89271\n877 88290\n34772 36555\n42880 56371\n46098 53639\n44591 90474\n19287 21632\n10837 37643\n26363 75794\n6985 41417\n18361 68423\n55675 95511\n45485 56633\n14490 31376\n13380 29963\n7823 37299\n44297 66085\n63275 83161\n20765 31273\n17164 49687\n64022 75854\n23440 28970\n14618 87434\n20292 73735\n43890 61589\n40472 94750\n53654 96972\n17235 70788\n26109 29549\n26423 73014\n65060 79587\n12016 76218\n81314 83208\n36765 40133\n44248 76104\n20624 74740\n14870 78191\n17086 37659\n32245 69631\n4661 42395\n13129 18270\n23016 30023\n13442 35509\n32981 43950\n30 24502\n2568 15813\n47655 79594\n60167 70115\n8960 12555\n31590 68775\n15579 49324\n47162 75826\n65847 85616\n70481 82325\n39270 70633\n75941 79091\n53287 76383\n37634 45790\n26888 63243\n35053 44928\n4109 59109\n21736 91254\n43137 49766\n3641 87900\n10060 28089\n12756 97228\n18359 44125\n51010 93234\n68481 90310\n73077 99039\n66582 83644\n10203 93892\n18976 78340\n2298 75416\n55216 96892\n8751 58752\n42688 71455\n36863 48140\n429 20437\n10540 63854\n6608 98861\n49704 57008\n54731 73771\n47027 86955\n3273 66017\n9508 79194\n6459 84510\n39837 61368\n68624 83094\n55202 60307\n75661 76097\n34126 54687\n75362 79075\n45991 46868\n11508 42563\n48221 66926\n34862 96533\n67537 71729\n8566 93202\n51005 92911\n9802 13511\n6662 62474\n81207 86653\n59995 62167\n24528 98206\n56231 72169\n67965 75782\n10777 69608\n31115 33434\n43286 82042\n44886 96577\n5128 6302\n34258 74769\n64539 82387\n45910 91265\n14780 49563\n25190 74516\n31026 84160\n91506 95282\n2658 84421\n60389 85781\n10462 99922\n69496 84861\n11119 48452\n37016 41471\n21691 96168\n16689 55564\n63009 89953\n58506 73439\n22597 62944\n18560 67785\n23818 27332\n16437 91392\n44313 92341\n78467 83937\n52669 63066\n50774 74952\n15390 83283\n12298 36291\n79550 84877\n17832 85458\n42031 96273\n28284 98930\n24294 57621\n4297 34216\n9359 83107\n21668 93012\n35703 73600\n3854 32378\n3194 26402\n15641 77843\n17134 37606\n74586 82217\n26013 84117\n2463 41464\n10815 35304\n31327 91037\n44632 83450\n24553 92290\n26973 82492\n2282 70837\n67609 92960\n54087 62546\n38196 85631\n16870 71058\n21941 82937\n26461 68506\n32762 64006\n76496 96622\n24530 38032\n4157 39863\n79934 88180\n2919 49391\n5786 10527\n7998 82459\n43249 73543\n7612 31603\n7776 74144\n2314 76247\n38193 87795\n54560 77543\n81955 90210\n33177 86514\n27757 33617\n2146 62526\n28854 74691\n22602 77631\n49731 51401\n34083 89441\n20007 73975\n18085 94025\n7810 16457\n10379 43381\n12045 29743\n1100 26004\n37557 92624\n12268 18694\n9283 77821\n17162 27841\n45853 98183\n13036 40465\n50650 60464\n36647 46210\n24571 87051\n17977 54667\n12306 95650\n2144 63572\n37463 39007\n1279 66285\n50779 58977\n67204 70345\n13103 28733\n55046 67893\n31201 78374\n70896 93332\n24263 29606\n27846 95133\n30920 33472\n16018 16650\n55833 84376\n59177 61131\n33134 77414\n68278 86184\n20033 60540\n7958 9830\n32165 62044\n54863 65041\n1841 48048\n4219 69488\n11945 79700\n3859 93910\n49597 98674\n19517 40228\n59095 62005\n54377 85743\n53627 84301\n1949 63072\n8189 57498\n16174 86848\n15896 62764\n56533 93273\n24818 39320\n63266 86280\n85741 93321\n18913 66204\n42216 82341\n13782 20571\n35501 91275\n60095 70712\n63070 99887\n37802 85138\n66886 68263\n52111 75332\n23190 61671\n62774 97199\n63594 84356\n44608 97912\n7883 39840\n72266 90306\n10886 61724\n38737 69797\n48597 51365\n60035 89764\n21639 46962\n1181 18501\n16256 45843\n4031 30803\n36401 48597\n808 43602\n45021 60135\n42337 79334\n44564 46700\n31077 82885\n39057 69429\n39631 94646\n84209 92762\n43398 65050\n40303 99264\n4624 7200\n35370 65666\n18579 89155\n53312 99392\n67005 86802\n60816 85188\n61708 92621\n46935 90623\n39942 62705\n2900 46988\n10829 61750\n73603 74605\n9570 11813\n24886 68332\n42958 86094\n14795 59948\n36304 39485\n13678 42492\n4549 38271\n52772 76565\n62679 90376\n43312 58455\n45828 87250\n35048 93238\n90860 94099\n11246 14226\n74276 77158\n62977 98093\n61666 64211\n32938 40377\n49013 57577\n3743 78899\n36711 84418\n4479 22833\n59960 98992\n22132 71034\n59855 80268\n3651 80431\n15961 73042\n3185 52791\n11455 90297\n49581 91617\n5432 39560\n38395 94948\n129 75390\n21415 31656\n4400 33547\n18228 94261\n51153 66092\n33299 41854\n22775 97112\n31513 58850\n4177 43005\n12643 39080\n76049 92096\n54864 71208\n1446 16137\n33291 49149\n22662 94061\n845 8401\n32295 43361\n15199 19427\n94426 95415\n33881 85730\n14377 90362\n30885 71723\n36850 79980\n36526 45360\n37924 95968\n39407 67082\n30661 99445\n28717 69825\n25878 63556\n33518 43911\n40182 45828\n37475 71388\n23969 47727\n7354 72877\n6993 10686\n34416 88551\n32806 33759\n19231 56941\n28824 30956\n16790 49328\n4919 71023\n7065 87762\n63536 78130\n54821 95380\n47136 88829\n1684 57550\n49246 87285\n7205 19053\n49554 79499\n46800 62186\n66019 68027\n37542 76046\n31350 46473\n27037 94137\n21789 46276\n16383 97709\n11872 85255\n52040 59056\n28982 40492\n32394 84817\n6984 51203\n51053 92597\n39005 82566\n62972 99324\n53395 76617\n24104 47564\n48926 81957\n83786 94397\n24854 45382\n30349 91691\n59776 86772\n62704 78114\n20874 38995\n16699 62990\n50217 95588\n35756 40645\n5658 78886\n61097 67762\n49968 77627\n8691 97994\n38545 90698\n6742 35029\n47194 59880\n3314 31601\n36686 37811\n22963 94461\n46409 55408\n1088 91070\n36343 43106\n66955 95900\n57453 95880\n27647 33400\n47749 53841\n66149 82277\n15975 91354\n16587 38970\n69881 91404\n14235 87499\n21072 31850\n68719 71707\n26950 98411\n73725 76755\n23958 71623\n71720 86310\n55757 86807\n24639 57079\n15661 83190\n22937 42936\n13601 99924\n1295 88596\n8497 89484\n83848 87890\n1030 50981\n59787 88087\n77469 80016\n57977 77794\n6848 65142\n85338 93262\n12557 72525\n36573 45866\n10174 26515\n52430 75090\n10505 80528\n23270 67626\n16573 17909\n37937 66109\n10956 29906\n39905 48031\n62729 73284\n87329 91253\n53636 94552\n3426 40665\n16901 68772\n41769 65758\n55849 75178\n10776 24683\n14568 47764\n7377 71255\n60920 74316\n50887 53081\n9177 85784\n4074 93142\n11954 37190\n15839 60130\n49445 99640\n24400 96700\n8035 18149\n14498 76858\n18877 77090\n48436 55373\n22616 61941\n61206 79671\n3614 90026\n73815 81576\n82298 84585\n6075 50208\n6456 17442\n29370 33788\n57327 59908\n42799 89839\n62432 91690\n24829 75962\n77380 97340\n17836 21605\n12507 86707\n69495 81866\n24039 72991\n69708 88756\n35439 61184\n48759 63525\n3056 86950\n76861 88772\n6024 73177\n47790 71669\n9664 80623\n24945 90475\n33024 57578\n65649 77129\n68698 73493\n23685 31724\n16617 59533\n46931 58608\n32174 77237\n19647 48414\n64817 71548\n36372 38560\n94192 94380\n54192 91913\n44944 71187\n4445 9162\n11378 66696\n58492 93484\n21099 23094\n5876 6381\n3898 28296\n51238 72776\n28242 64467\n15156 45641\n1451 3981\n13760 64385\n73574 95038\n2653 73985\n24031 78831\n8851 94292\n52244 70186\n58933 84430\n1736 49429\n15511 46535\n26263 52040\n20091 28160\n78009 88951\n39985 68477\n46135 92148\n26586 51498\n8850 87513\n42570 65997\n31497 40037\n4552 80687\n75381 89606\n5603 75823\n35779 96538\n11634 44706\n53475 75753\n23385 31476\n71309 88153\n34536 71939\n11793 81767\n18386 93313\n53065 93251\n29526 85678\n74338 93395\n87904 89539\n15363 69656\n73079 82424\n64855 98628\n43732 46961\n38596 45924\n33225 77178\n31107 86939\n61998 72706\n49802 87894\n11894 79247\n806 4587\n200 19336\n24354 48180\n35663 99601\n39070 70167\n893 14281\n52213 60630\n2081 19406\n33802 38990\n51984 83936\n9770 55248\n19887 81339\n63151 81025\n4870 75964\n15921 43587\n35541 73174\n35583 61869\n2500 5973\n75319 97342\n20198 51106\n4199 19485\n24055 37538\n3198 53737\n25930 88620\n15422 52134\n48158 66965\n23573 72825\n79903 89570\n11418 97919\n2488 51514\n36396 78834\n12804 43634\n50241 69304\n12405 67588\n36200 97900\n14275 79094\n71448 73154\n5024 77604\n42903 83034\n6299 36027\n46327 99781\n66178 76218\n21878 83452\n13314 51991\n26617 46963\n76991 90031\n26638 37398\n12 68204\n2264 90000\n19861 89493\n30829 68975\n10387 16639\n3044 39057\n15972 61571\n33750 83830\n40331 72277\n69940 74690\n47606 97583\n3071 84540\n29172 98026\n37562 37899\n9390 20088\n70611 86751\n80739 91115\n60787 70527\n2399 68244\n94858 94938\n4600 94057\n61332 66492\n26209 56302\n11886 73365\n67307 89066\n55151 81453\n25644 89893\n2194 8604\n46240 94493\n12747 90976\n32807 84478\n76493 87514\n8988 96681\n25895 84401\n16365 31071\n30512 97405\n57021 78056\n72463 96053\n33051 74239\n15398 66834\n7376 97596\n76019 76805\n1731 21339\n15895 25921\n40799 93814\n44308 87310\n35102 57250\n3537 84027\n16177 63867\n2528 81335\n1378 19945\n12173 79020\n72797 96664\n26971 98908\n62115 90220\n44874 86896\n45905 68139\n42927 53619\n1109 25720\n55646 83150\n27054 77318\n22835 60374\n67396 87110\n50635 70398\n59853 87058\n58609 71777\n1004 33864\n45566 86033\n7248 46691\n91399 93384\n31152 55127\n32157 39390\n3276 42240\n29019 67304\n91771 94957\n85192 98741\n15797 82901\n50593 65410\n18724 34932\n894 76217\n10259 38057\n42240 89758\n84301 84743\n25106 76536\n84807 94989\n11549 29235\n4145 94331\n329 46880\n12203 91508\n9271 23598\n70331 84285\n34563 71676\n11750 33779\n43247 62405\n46033 49174\n77186 82247\n3031 27940\n67303 75467\n2114 64238\n37652 63267\n24136 94003\n24930 71549\n10142 52420\n19544 23194\n10974 54329\n49364 83995\n37261 48917\n59756 64560\n29360 60731\n30860 32134\n34016 73632\n647 8023\n13355 77896\n7006 88883\n35045 51762\n60540 83953\n28353 62930\n56859 66340\n22125 49521\n19635 80255\n39968 55229\n40058 60833\n10180 93369\n30385 82587\n55629 91990\n25491 87998\n11720 61053\n53806 72778\n41646 67119\n6122 75690\n237 32278\n31284 48051\n22366 88690\n27749 41633\n31622 54231\n7091 50749\n39966 59851\n46017 51827\n8747 34558\n16926 80120\n42084 55398\n74442 75599\n14852 36582\n24323 95065\n65504 98077\n43097 43487\n35512 80185\n14290 43409\n10572 79225\n65072 81069\n22434 76295\n7633 87824\n30753 77019\n58405 99487\n1226 19726\n74608 78259\n31211 62895\n66700 97065\n26448 38574\n39422 66049\n33467 82074\n11993 19004\n50347 55131\n30483 64770\n59655 78953\n37216 62703\n8744 88736\n29161 47664\n47744 50869\n40013 55013\n74801 88945\n23218 95724\n25957 34789\n24289 30409\n13348 86387\n22577 51955\n34183 62200\n56698 76659\n64589 74577\n21120 32339\n6879 86796\n105 46731\n55143 67952\n17960 59870\n34481 76744\n64378 66319\n45011 50321\n16295 89895\n7570 87181\n72725 79493\n85240 90723\n4557 60413\n33632 65292\n2519 43123\n54014 71032\n8115 98444\n76623 99946\n73203 74671\n77867 94011\n30176 87246\n34783 55371\n32335 78394\n1521 38129\n14543 86261\n13879 16988\n15078 19180\n42217 61837\n50796 59208\n13658 86829\n85659 94264\n1865 4498\n46337 59711\n46099 62705\n8055 17384\n64667 91840\n33042 49935\n6136 67182\n17479 32987\n5347 31858\n79739 93998\n67450 80840\n31088 68295\n60025 81219\n77094 89790\n5472 88718\n57438 99467\n75150 95690\n10769 70130\n8967 99419\n24319 81115\n11552 31378\n31913 46212\n47295 61109\n2929 76873\n5169 41107\n54234 58634\n72062 80406\n72956 90155\n23679 34385\n28280 82495\n30351 88669\n17883 56904\n3185 31898\n37743 54428\n71696 84140\n45773 75197\n1814 5886\n70768 81150\n34490 91668\n14455 90615\n2744 39787\n35172 50922\n23843 99087\n83767 94328\n60579 98783\n9773 55491\n29614 80426\n50267 60218\n44927 84600\n88785 97723\n19940 76518\n4789 24232\n40711 46665\n36485 84287\n62409 67591\n20805 56822\n35167 72331\n24594 76307\n4598 43556\n26457 95775\n23690 43430\n7004 17817\n10410 96306\n7455 15549\n45989 78560\n52389 99295\n53678 89923\n10228 88733\n45692 97569\n54162 98141\n63070 69266\n4798 77741\n28364 35886\n183 61427\n9529 37052\n7031 7848\n59220 66912\n64880 85472\n68716 83347\n11354 37323\n40901 89288\n20541 69749\n2078 97147\n37758 40389\n52203 94194\n34797 50375\n6196 35711\n58716 83672\n5492 51947\n12047 85657\n22800 75906\n263 93582\n2427 11255\n80801 90390\n57291 90646\n26950 63085\n48857 69509\n4564 26872\n81994 93884\n13158 72034\n22317 42868\n8784 66831\n4486 22776\n5979 89739\n9677 36031\n38536 54402\n25137 27259\n82251 90141\n9394 77164\n1624 44335\n15713 49329\n67977 72551\n86137 91345\n49362 86024\n36973 42198\n38355 79459\n4543 12658\n5744 75662\n22143 58436\n71202 75633\n56872 72700\n60022 97850\n53755 93767\n704 78429\n35302 79054\n48492 91853\n61785 98712\n60845 80839\n10210 80733\n63963 96887\n64668 65257\n52787 81422\n31661 64281\n52084 97906\n7063 59229\n40838 46698\n1003 71687\n98696 99189\n21533 67605\n14640 63935\n42860 64435\n33793 48927\n2032 47108\n2215 59562\n60439 98622\n33034 86415\n28908 81348\n62299 68119\n67510 87812\n32596 71809\n36110 67289\n9120 60375\n20531 22862\n4775 50871\n67716 89278\n85298 94285\n90311 93386\n3726 96404\n24510 42924\n42894 67571\n19958 46875\n18747 24157\n88185 90445\n12105 34784\n93617 99142\n4043 73843\n43326 44120\n13042 25264\n29718 97299\n2583 51469\n823 71758\n22348 53114\n33460 63512\n76823 80534\n31718 69628\n53199 93788\n60614 78879\n805 17275\n12858 94870\n64191 79216\n45631 98291\n46691 53504\n22048 45569\n6536 80189\n19829 83796\n47830 61734\n69905 99112\n23983 51329\n66599 89494\n16145 70869\n19900 26883\n28063 91375\n15236 59029\n69326 85543\n56825 85671\n1625 81689\n39818 84066\n1044 29104\n15572 43437\n12736 85930\n7189 83016\n24697 54826\n40152 94874\n3550 14450\n10806 15063\n45924 84272\n14143 55306\n9783 77149\n30662 62745\n79476 85162\n3130 55341\n81761 86369\n1305 19612\n57644 58965\n52194 60452\n7477 24329\n87982 91841\n25649 46136\n20585 32007\n11425 28370\n1489 12864\n38116 81606\n39573 45910\n51533 96124\n65830 72336\n3850 15453\n79683 92881\n50442 98317\n36286 75867\n58251 67928\n87700 98261\n44124 71068\n47704 94576\n19560 59370\n48965 77057\n61854 72707\n27224 27350\n71141 78865\n4847 17116\n58535 63364\n17211 53509\n17697 93149\n71430 98533\n78177 96435\n14451 16868\n49057 96657\n63530 82998\n86 40236\n50021 60512\n32914 49904\n50232 69497\n46031 86795\n90597 98880\n19392 69212\n44208 98114\n73243 94317\n49966 88210\n3131 34929\n11244 49316\n18693 69040\n10650 23120\n1270 12911\n13643 53140\n40088 68880\n56024 70430\n74740 85104\n11882 14339\n16042 46537\n51780 93127\n36258 44253\n21821 24011\n5794 84497\n45671 85827\n17976 58291\n5645 23870\n28405 88701\n80799 94719\n65492 98129\n50738 82981\n32276 46791\n55412 57711\n1064 10743\n14710 71172\n20969 91634\n40308 42496\n49276 70375\n46852 54893\n14203 21294\n12621 92925\n72572 90048\n571 13774\n9218 21993\n62275 90055\n72601 73800\n40607 51498\n4392 31589\n18488 93842\n5727 85063\n56046 88885\n72567 72846\n73704 77614\n33290 33381\n3032 10106\n17211 87358\n53343 79555\n44465 61282\n66214 75027\n11865 25669\n31647 40202\n28601 69065\n24708 66029\n52242 93268\n33411 76072\n8247 76973\n15991 62531\n624 15496\n511 24598\n46669 67634\n24576 28174\n53500 63481\n61544 92732\n11545 35524\n11261 24955\n57802 94348\n9397 57108\n1121 70010\n73175 91797\n2156 37730\n10688 25697\n5984 7419\n45173 72692\n44943 73404\n28014 79487\n12629 86923\n70685 85414\n24137 74183\n22337 49199\n34441 83254\n66579 67980\n26963 97257\n37253 83673\n25104 47099\n3018 90619\n88833 95441\n37165 61227\n35104 47731\n1464 88202\n73551 82294\n14950 68309\n27234 33933\n15729 68586\n5583 83169\n67096 79538\n7698 95446\n58550 80753\n5804 30010\n26308 46242\n22306 39127\n52841 65905\n23216 58474\n6751 27069\n17627 82450\n53969 66087\n21268 41515\n5667 51113\n23479 68592\n50470 53765\n26112 41956\n14089 20245\n30991 53338\n31786 85325\n19921 68656\n74406 98624\n31962 49063\n51791 61231\n13307 23187\n38026 56329\n5715 18527\n18141 69646\n21707 84251\n15930 94761\n20699 59836\n63176 67236\n2758 56320\n348 20347\n3672 85465\n75501 86172\n148 12851\n55797 60204\n27528 42323\n36763 65744\n38284 38896\n60637 77691\n29989 95897\n42020 76044\n41817 57306\n65361 93381\n17256 47853\n49110 77516\n42794 82784\n30360 72361\n23412 50827\n47338 83438\n4035 93714\n16060 47109\n21300 68099\n87040 92507\n3342 18058\n9460 29965\n21091 38805\n76624 95119\n31015 48293\n19472 70735\n16564 53495\n20126 84886\n4010 24990\n7614 47728\n19957 27929\n56657 75412\n24326 86436\n4227 68059\n54640 63236\n69534 74803\n5996 17879\n30104 77040\n6296 38281\n61075 98896\n87592 97619\n31281 42295\n82042 90267\n46415 98477\n49094 61648\n32870 48138\n10064 18773\n46702 64954\n69800 94052\n21513 74629\n19920 97532\n42192 50480\n33132 66876\n46262 56776\n4739 22180\n21602 47881\n16647 83154\n81984 98085\n43255 97953\n1718 22519\n10772 15417\n71825 80464\n27122 35215\n22427 84651\n5685 75211\n73816 80256\n31549 74196\n29667 34368\n43623 48248\n775 37560\n37822 68347\n4580 78672\n9003 97972\n7283 51108\n33506 48975\n25354 67969\n46599 88487\n11467 60371\n29332 92350\n7314 14860\n9723 99458\n25891 26567\n5474 34269\n36476 75039\n20971 64393\n9044 26336\n7600 47622\n4168 27955\n38637 40756\n5510 28920\n37127 92344\n34279 91451\n8883 90350\n47457 53510\n73218 75740\n15571 87588\n48846 73004\n44664 56803\n92 59495\n59847 81813\n26466 70956\n16093 88874\n51489 98597\n59148 94261\n12688 78349\n7156 75733\n26352 46258\n16908 91220\n9218 44498\n32404 34272\n45627 93128\n33229 53361\n51969 99516\n95182 97907\n14752 99741\n29056 93988\n63070 73132\n16419 80569\n34408 94979\n51444 86877\n61426 69135\n59874 72005\n79820 81342\n75307 88825\n59428 86762\n1630 38018\n62738 70606\n4182 73214\n8517 57523\n3975 56286\n28706 53717\n7549 76806\n39791 99507\n43599 65626\n32016 63983\n47254 83803\n81750 97968\n84570 93357\n39904 91237\n72998 92458\n56387 85896\n44086 50564\n35665 62745\n42620 87649\n8053 15073\n31776 72421\n11680 99484\n46884 90806\n3893 34451\n49860 97317\n89237 90009\n63421 84128\n66905 89905\n4000 28715\n5049 58850\n5144 58880\n2355 45159\n66859 77458\n14265 70936\n5111 44883\n51270 62504\n8436 54199\n41995 95376\n64201 69806\n48400 82803\n1588 28660\n27662 87256\n47344 66231\n24514 43642\n25938 32956\n65065 73572\n10065 25319\n87982 98911\n8944 42241\n26290 80343\n33691 79171\n43660 91114\n33127 44514\n25672 67847\n28695 68464\n17356 74385\n49679 69607\n18087 78435\n69991 76602\n3739 18914\n1686 11972\n27034 64979\n23751 47364\n41747 91735\n19673 48926\n25500 55342\n24504 60541\n33872 62417\n18885 63807\n35643 51246\n25020 59349\n19068 52439\n59681 83132\n38044 86838\n8157 33878\n49331 82445\n42684 77703\n9331 49916\n78453 81053\n9504 91508\n840 68186\n19208 49463\n55367 59226\n17563 41325\n13532 34489\n21515 43866\n41925 92952\n57218 87474\n26742 75424\n14876 40271\n17154 65937\n25753 31048\n61161 94027\n32928 53069\n30665 61960\n47421 81884\n76047 79705\n683 42311\n44045 60730\n47144 65983\n17238 28892\n3987 4872\n20900 76624\n21387 28280\n71840 74511\n18863 87966\n69240 79311\n47662 97785\n69166 74994\n5148 58206\n43805 53829\n14982 86312\n63234 66107\n35546 48199\n44981 47691\n16134 74271\n66773 78284\n38148 49800\n20631 83908\n24731 27666\n2987 92383\n27112 52465\n3382 90610\n6871 22755\n22669 26996\n21659 30105\n3366 32046\n83054 90642\n4818 49439\n96670 99839\n57076 60024\n58472 82515\n19432 71324\n21 49743\n44843 90012\n28826 80894\n27134 45876\n49193 55458\n28550 77590\n66496 72117\n29867 39780\n7529 91910\n48826 71894\n24610 82975\n64894 85961\n63614 74779\n19760 51508\n45678 46877\n17636 77688\n33142 40294\n32548 72308\n20701 55554\n44111 74510\n13768 34275\n28741 73430\n37198 80833\n18208 53410\n40335 50350\n27945 28248\n20842 86677\n14084 21351\n73183 78254\n24975 94017\n9298 61375\n53362 59542\n27137 29397\n40015 61250\n37979 56166\n69125 93626\n9528 51372\n6595 91184\n1508 39471\n38169 52435\n19821 75246\n48720 56149\n9411 57808\n8846 89283\n22492 74978\n18260 25185\n26197 86160\n63957 89678\n38552 45056\n7749 52130\n85036 97982\n4744 35557\n13762 39598\n17192 50104\n1896 24706\n39711 63463\n48597 51451\n16776 27544\n31358 54974\n37675 58493\n59220 97909\n48433 89543\n49722 99378\n24960 39205\n20154 33624\n72438 91745\n10196 49848\n21235 42760\n5302 80258\n73178 86390\n14386 29084\n34167 98212\n28807 61377\n56937 71317\n63021 77067\n73729 78915\n24810 47120\n28915 52864\n4649 80457\n10639 30736\n12833 73807\n14693 17286\n2961 72451\n76537 91365\n66015 99364\n496 88362\n27820 46008\n34806 95302\n27971 59506\n62247 96782\n9629 35211\n33775 64690\n29887 91087\n16885 64391\n1905 42216\n22280 75970\n76322 94139\n3982 21271\n13794 82873\n7182 40035\n21559 48808\n17305 54866\n40367 83952\n60638 88890\n23822 72930\n21830 37548\n58715 66579\n57303 82940\n53367 82481\n67660 82567\n81636 89454\n66215 82352\n3690 55118\n43480 65994\n131 86901\n17971 58122\n49515 67050\n82083 99870\n58822 94606\n32773 60611\n41500 56308\n20896 64381\n38657 57080\n43475 93153\n10732 42901\n52442 94856\n11038 98220\n28718 28737\n30479 74315\n59180 64676\n53480 99770\n9228 92198\n3072 82027\n44891 89610\n3692 91860\n836 38986\n43741 57924\n14256 55842\n89125 89980\n107 17266\n6063 28250\n1266 83184\n82206 84456\n25913 35223\n15456 49501\n1570 43117\n83087 99160\n65393 65763\n7514 25066\n74709 76214\n96976 97151\n91 77630\n17962 66301\n30425 72128\n12883 33387\n13397 41490\n12694 54811\n50915 80954\n44973 53587\n10204 23733\n61422 68793\n27304 86308\n75206 81276\n49111 90236\n14100 65850\n49034 54403\n63715 75251\n59400 72605\n24708 73517\n72544 84556\n34599 75078\n86478 89557\n4174 75639\n162 4351\n87150 94666\n25319 53074\n43994 86375\n33616 79350\n11156 52134\n7743 74496\n24287 74060\n37101 65334\n32787 42488\n32632 42691\n34969 95679\n56381 59087\n57129 84197\n70957 71368\n27010 76608\n69438 93628\n2481 47582\n54848 98476\n68178 85763\n46721 81229\n31250 60956\n14089 42998\n53250 85140\n51615 86180\n61269 82515\n8534 89188\n82980 92957\n17867 83710\n17522 31645\n57526 58857\n37444 50862\n28075 47752\n1006 15503\n34488 81681\n47174 74086\n2608 42405\n2980 6823\n78276 99038\n16672 35664\n5061 74173\n16670 85819\n25350 83633\n20010 99054\n21737 24607\n83555 96062\n49661 69428\n39111 53590\n72802 87052\n3124 88492\n27017 71052\n58058 99584\n8671 55294\n69766 76849\n6420 76186\n59908 82040\n35669 90023\n54347 75613\n54445 56047\n9515 40729\n20067 60750\n18346 75026\n9634 36841\n21386 79885\n18153 23154\n30287 39172\n7146 7866\n3298 92033\n25007 45303\n13943 23167\n8673 21438\n20021 22316\n10987 80271\n17070 39059\n1855 18469\n20055 55106\n21479 42290\n30736 90048\n3059 21725\n13272 13807\n21386 35394\n28813 46633\n2008 35927\n88057 97338\n78907 89045\n70813 96733\n29675 44057\n51653 76589\n39852 94822\n48775 91405\n534 90235\n48804 89803\n38825 48264\n75112 83177\n37148 88616\n58457 62763\n5328 16534\n1933 34768\n22140 73691\n28401 63796\n6926 54893\n14524 64410\n13150 43736\n43237 67514\n36898 62900\n3248 80515\n21332 44028\n40823 84958\n10397 70684\n46739 99731\n56636 73122\n41189 86584\n64398 96383\n8425 36142\n25187 60361\n8481 48243\n58005 72350\n42852 81153\n22388 31425\n26284 67001\n27495 55606\n32402 77303\n89126 99465\n40392 68831\n59427 60329\n18550 52339\n37943 44798\n36584 86951\n60110 92946\n14983 34237\n29329 51544\n70850 81814\n37817 82572\n31268 93482\n16905 47105\n8761 22576\n9226 37220\n48224 55833\n47410 56614\n90083 93930\n62120 96970\n11830 17598\n36551 39474\n93766 94238\n4207 35976\n15791 82959\n5665 39988\n23833 50751\n5771 46102\n15708 70077\n5095 48397\n82037 85157\n7560 91563\n2775 10702\n71098 95119\n11969 19780\n30208 62749\n27873 56721\n13484 30850\n37432 42715\n21462 81390\n66740 89835\n3111 95497\n25333 57476\n11501 17974\n28464 77439\n8978 86280\n13541 75376\n12034 73220\n60163 74664\n49416 67751\n20308 90770\n119 1907\n23926 47818\n17847 37658\n82838 86253\n60582 81539\n54263 76203\n76230 92153\n14217 26907\n43908 66160\n58887 68452\n48840 96876\n25043 74630\n6427 53841\n9949 86374\n194 43269\n62051 67647\n69047 98783\n51224 55853\n34570 49757\n68372 89244\n16927 18356\n26528 81581\n17579 56767\n32466 78685\n12325 41334\n17413 58094\n38155 73706\n22156 64713\n57924 62895\n5232 28454\n44906 49011\n31778 44145\n10881 62938\n11126 74536\n2111 9693\n2022 6509\n2360 18479\n7468 12800\n3552 54579\n21908 54423\n69283 97193\n39730 47654\n64831 76857\n94800 99270\n3561 37718\n13616 20220\n50760 89927\n4691 19300\n64325 81861\n31837 48399\n6184 23626\n66952 92754\n37495 61755\n66811 71690\n501 15858\n13888 29752\n22389 40622\n70471 73601\n52859 83003\n46572 48664\n18177 33180\n5723 15410\n21810 28946\n20640 47978\n26855 55345\n6105 60954\n20097 88161\n18130 87992\n56899 91235\n10642 35713\n4950 44200\n7699 66094\n34587 40019\n26586 40874\n6151 63225\n1584 10143\n42854 50931\n8782 28536\n24060 92238\n13248 79202\n26886 60337\n14316 73122\n51700 75415\n2747 69853\n12714 99689\n4664 8393\n43267 49892\n22475 98350\n55166 61249\n30215 36486\n974 98787\n3376 17780\n2333 45359\n47324 74567\n16890 76927\n44158 56881\n56973 59297\n28372 34337\n27630 70406\n63548 71051\n59307 67439\n25501 66245\n70536 78626\n53181 53553\n31146 65589\n37678 59793\n61867 78889\n19826 24007\n42861 94420\n23259 63474\n18661 40868\n31870 55301\n58446 62732\n37903 41970\n31477 87694\n45853 94555\n4908 42130\n49548 89848\n58430 88451\n15041 72696\n90458 91168\n72925 87166\n2408 42986\n49873 54643\n25681 68414\n56428 69048\n22196 78065\n36567 69070\n36248 56117\n41640 88935\n6530 39313\n16978 86812\n29039 74293\n74276 75727\n53925 92957\n3282 85842\n58963 65289\n53255 90475\n29880 90046\n65895 75362\n61355 91812\n9803 15699\n54424 63408\n39621 98105\n8188 60925\n51954 54386\n53347 93420\n24352 34442\n1916 8539\n52385 62015\n42424 94306\n22896 53913\n18285 82147\n60806 67375\n76120 88037\n69054 72424\n46502 83891\n4787 54760\n24424 59603\n18307 68307\n47169 65525\n40622 56565\n51971 77452\n4591 17306\n22983 71277\n67194 97986\n1629 33984\n61641 88193\n29553 78602\n20482 29714\n69930 90731\n74971 75798\n7858 42330\n59159 88395\n7394 70775\n7225 71937\n69695 83779\n19974 45733\n6074 28477\n90034 90370\n82800 94460\n30233 90074\n2938 47841\n10659 54712\n862 30800\n16899 53352\n78939 83921\n5883 47296\n11339 39285\n68724 76266\n31831 82161\n7068 73020\n67424 95115\n2181 69197\n26376 55312\n23524 88613\n71188 73654\n12786 42966\n64522 84509\n13047 98178\n50315 70720\n31474 50725\n53 70111\n29109 66345\n3964 96948\n2376 12688\n32136 81652\n51715 57644\n9596 19473\n31000 80069\n89207 99742\n62652 85155\n10371 28391\n44894 97989\n25990 95070\n27566 73007\n31947 58319\n44011 57294\n24866 68521\n6890 48012\n31465 83583\n42792 80760\n676 48811\n26893 85993\n1878 99316\n28491 58210\n41077 71564\n47771 77354\n35553 86845\n40435 51809\n37962 70214\n93349 94109\n18955 54943\n49196 49416\n13481 26193\n39897 62749\n24823 56901\n10445 46844\n10871 91475\n30428 44864\n25944 96148\n65168 71692\n77208 91346\n62442 89761\n47118 79535\n85481 99258\n10857 98516\n20605 90161\n1018 87302\n17536 47945\n7836 58281\n17230 57050\n26650 96092\n18663 58961\n1584 84517\n56225 60346\n29862 32251\n34761 49731\n66801 91995\n5239 71470\n49768 65884\n1417 69475\n44049 93975\n42160 59367\n42641 74776\n32614 88237\n49378 78695\n4995 8335\n13651 67462\n33899 39615\n34102 36001\n17307 85056\n68764 81018\n6310 22167\n18844 44587\n42069 88434\n79843 90482\n16490 77075\n55438 79423\n3040 81772\n63599 75809\n58130 85735\n77899 93632\n66981 69563\n53623 99127\n61651 64777\n60154 93348\n77789 85586\n50413 77185\n50184 69998\n6705 74849\n78912 91388\n72119 96565\n88972 94930\n23611 67545\n80343 90371\n54840 67806\n35543 40697\n43407 77391\n24032 54627\n80107 98624\n18935 72475\n67295 74473\n7138 98263\n57955 85403\n10498 67536\n84199 97745\n59577 79437\n65493 85383\n22467 53816\n14699 96223\n6206 41125\n3756 27649\n18869 48109\n43873 66658\n33934 70086\n40573 72525\n30604 43750\n35999 74354\n18650 45357\n23204 79435\n75247 89199\n24868 98148\n53492 57790\n65077 76181\n60271 77595\n2340 98265\n48663 96672\n32773 64209\n24976 90982\n18119 69149\n95947 99487\n26385 72145\n91315 98602\n9395 37785\n58450 78542\n56875 68002\n37527 88495\n36651 97393\n38467 69189\n74396 79416\n6017 51632\n10817 20461\n26658 98537\n38755 52612\n45 30421\n36407 40239\n14965 71844\n39401 82412\n34231 65171\n27619 83716\n42967 95544\n4699 43690\n12440 63419\n34048 40167\n9243 78535\n43136 71377\n18385 57653\n78374 81075\n87791 93116\n37998 69424\n55604 67024\n29406 78240\n22659 54662\n86825 87613\n1869 76560\n31420 93543\n1695 8764\n71660 73519\n9886 46013\n5414 16798\n67928 81096\n54469 85480\n45793 75236\n74904 86544\n32229 92553\n981 91403\n21988 52445\n7926 10425\n48003 64615\n18136 92582\n10421 95629\n49162 90256\n24395 41012\n37048 56718\n73696 89610\n44370 66748\n291 7626\n45220 46846\n54140 54607\n30210 69914\n85925 97902\n62640 85939\n25890 63140\n45754 54101\n81178 93817\n5289 76406\n26639 51621\n19063 70988\n15952 69025\n2795 65082\n21924 38898\n44821 55703\n611 32168\n71755 73639\n11658 99739\n36161 42393\n29276 86615\n1218 47285\n6196 60988\n14411 54578\n4186 56658\n6853 73135\n58071 61216\n17235 87438\n33906 54403\n59187 77591\n91277 92347\n17818 59248\n583 35656\n29373 59438\n44159 71857\n18320 52175\n11621 70164\n79483 80081\n27526 88632\n44387 88242\n68564 76321\n5551 64260\n30170 53507\n17516 47899\n4305 18206\n36810 88649\n6216 97574\n40065 51105\n7853 32493\n27031 84457\n18345 44324\n50487 84489\n33514 92730\n38291 81948\n68567 95657\n39934 80372\n50701 72481\n66374 90924\n1078 48837\n64573 89013\n51472 54854\n29278 79104\n29404 79076\n43499 49190\n25184 33718\n38088 72406\n67388 89235\n38909 43792\n82744 86922\n88040 97965\n22500 27921\n37012 54767\n266 820\n45351 65122\n54195 83792\n72370 76552\n32770 50141\n92630 93058\n81881 85599\n7415 58755\n15461 89698\n17804 94457\n41563 84084\n22448 44880\n1411 47145\n5209 49782\n14987 99153\n24711 70042\n3933 39518\n44259 91662\n32389 79790\n54917 87759\n54311 86264\n18477 39157\n51602 76869\n13237 14074\n77730 85633\n3338 91084\n14830 57690\n9776 66484\n21820 86048\n1618 11250\n45339 52778\n67732 92786\n18916 92688\n52320 94870\n51928 90690\n21878 74519\n81395 99622\n7232 64787\n27196 39790\n35289 77068\n67732 71131\n52452 83826\n19746 42342\n7858 31321\n55285 65586\n24695 53836\n67102 90453\n2926 72996\n18877 38068\n9869 68714\n4354 22701\n22317 93148\n50917 96749\n15457 39346\n2858 11688\n33123 68099\n4164 82250\n10389 42600\n37155 85082\n9145 78723\n1182 72060\n4203 45247\n18967 36513\n10360 18812\n14122 64786\n8900 56547\n16203 52439\n37147 48197\n57053 99618\n20772 76002\n7119 12497\n36996 75298\n28123 79060\n30261 88125\n758 3369\n35020 77320\n76496 88376\n12163 42409\n12844 19547\n13414 30156\n30677 88531\n28432 55710\n40504 92754\n61005 98222\n57939 85306\n4604 41222\n73401 75508\n17418 22908\n3878 78135\n22132 48162\n42216 54658\n3578 83127\n5633 65434\n7429 68868\n23563 91815\n38651 96530\n20622 79286\n18518 89323\n39085 74615\n76812 97759\n59770 63567\n11246 22956\n90579 98498\n21364 56986\n62810 94688\n16796 84564\n91026 95527\n62717 80970\n40941 42798\n80261 95972\n14623 39988\n60125 92075\n30067 38595\n69916 98247\n59257 60519\n82725 88060\n35347 89114\n64484 97156\n17532 29809\n62907 87079\n47779 84549\n21154 67688\n23985 68894\n28420 82661\n60694 66258\n28587 62488\n27977 86925\n11805 67449\n21855 51705\n48398 89395\n836 42651\n60168 73008\n69830 80659\n22060 33490\n45176 48782\n35821 55920\n19140 29933\n54557 81974\n29706 43093\n3460 12967\n8393 16861\n4443 20158\n33175 52514\n60754 70676\n32683 38937\n940 71323\n32333 43645\n1307 93413\n18485 70100\n29099 42485\n64798 72255\n36597 53842\n5187 10474\n19635 83646\n2038 62465\n57432 62131\n38866 69636\n22742 23524\n16186 49002\n6500 9514\n10704 54572\n26766 63318\n9097 80018\n48372 80722\n21781 67453\n69678 99786\n7407 57874\n31643 88846\n14422 26683\n48150 58223\n32201 62238\n44415 70980\n55201 81302\n31482 89129\n10500 73913\n7397 32054\n6676 58671\n22967 64772\n11385 74093\n65490 92689\n12302 20834\n34204 66972\n33222 75946\n25527 32916\n59911 73612\n95701 97149\n14045 54600\n3675 85703\n2758 64853\n14411 77905\n22424 65982\n10719 59784\n88815 96521\n3309 69986\n59314 89542\n30783 77997\n39359 80788\n70656 92065\n1964 53291\n20112 45077\n21889 37760\n46334 52893\n45258 91274\n11319 11752\n43642 44474\n5760 67505\n7663 14796\n37862 47369\n15973 84818\n27735 36539\n8320 25178\n22586 63171\n15223 69023\n1345 90355\n54546 79888\n81867 95187\n67250 94547\n11496 91567\n39652 72363\n18625 66282\n32478 84437\n60868 98644\n1788 3940\n2535 21232\n61383 73904\n50746 57083\n66612 79756\n4860 36777\n24166 51194\n27247 87392\n5445 84131\n14558 73641\n5280 6564\n34008 68792\n49932 88813\n58258 68089\n21059 64628\n74645 85477\n20503 89610\n1303 56284\n69828 93790\n37789 86144\n37414 62595\n507 16820\n55092 63802\n50015 72335\n53775 65148\n31344 70563\n76600 81176\n24008 25776\n17560 21093\n53857 57545\n2471 86555\n57668 90120\n65162 77641\n59584 67286\n22103 98072\n7029 32609\n26977 80509\n29411 98572\n22703 27680\n22901 42696\n56924 65510\n10758 38044\n43828 81503\n15194 23088\n208 13461\n39837 58158\n19852 20012\n59220 72739\n11257 41112\n89203 89521\n63516 69878\n18345 64094\n6516 17798\n5152 27371\n60037 62697\n34171 45699\n1090 7907\n35354 74828\n11228 14659\n96034 97674\n8032 98964\n10724 43765\n29092 48196\n57885 72540\n61222 61555\n47403 57427\n29222 87558\n21780 63423\n29428 39393\n42773 62761\n30965 89734\n31387 38599\n45230 74027\n9592 71708\n51083 63184\n19579 39131\n13240 31454\n36409 51977\n51301 75810\n30587 94552\n20344 84020\n15949 88853\n14723 65419\n33231 49047\n7113 11651\n22198 26522\n54893 66625\n4223 68065\n64924 96054\n78334 95449\n34493 77396\n38606 63308\n14604 81115\n51217 52839\n7779 30215\n27029 80552\n6027 86626\n3952 85386\n54030 92670\n2473 38413\n10634 48631\n51166 79575\n28088 97036\n50090 64384\n64340 99443\n18538 77929\n72569 81115\n4137 9257\n16822 81310\n53354 86212\n14597 84155\n28370 34094\n50175 58723\n59937 69376\n48863 60792\n21767 46025\n3736 60680\n29579 69771\n19792 39896\n14996 40752\n57142 92380\n27599 46114\n36117 93826\n27890 86411\n4636 40173\n55089 97250\n80805 90971\n6495 76550\n63492 86252\n54815 61257\n60370 81281\n41360 89537\n28412 45416\n22763 63464\n16899 82317\n14669 80984\n12895 76079\n52033 81533\n32098 47474\n23722 47619\n9713 71418\n74384 76961\n29262 46579\n7132 53330\n39202 80445\n28535 84948\n44019 61121\n13671 54242\n38458 52141\n10432 27177\n13330 44507\n28048 29665\n37935 92971\n93133 96274\n45143 96060\n36299 82844\n14499 54349\n34797 66882\n31917 53923\n5476 99082\n35044 36591\n53756 86189\n40767 66744\n20427 69598\n28998 45384\n18321 50637\n16494 57669\n70443 94615\n10502 94039\n57188 79634\n69919 72408\n653 81305\n44212 99216\n47400 89238\n47514 96598\n32471 50960\n51386 80994\n3435 29766\n60290 75996\n51965 64727\n42194 43229\n46913 96768\n11092 26041\n29977 99588\n53181 64238\n1492 85089\n16802 71830\n25409 43033\n31020 31066\n12855 67177\n18542 40622\n43093 67793\n1617 80119\n49317 80406\n77244 96858\n20898 29517\n84347 97691\n33178 74625\n45227 64633\n26940 45077\n58331 65666\n79016 95716\n9730 79202\n41065 46478\n30757 72748\n6780 94958\n23043 77266\n81964 86642\n39709 92668\n12169 54749\n51270 96534\n3117 63129\n31942 85132\n16001 96235\n19040 41948\n129 58507\n3965 97119\n66272 83982\n74818 97105\n3406 80333\n22601 76370\n25440 25904\n78717 92159\n20152 24746\n16743 89892\n42777 73427\n2456 79183\n29607 87300\n9487 16241\n1154 37259\n2195 91995\n59665 66073\n13973 93747\n43983 71906\n62975 75565\n50868 96095\n19585 21403\n15908 62368\n8728 88990\n60665 86660\n20282 25475\n21417 98419\n15108 76400\n15487 38086\n43512 81529\n1371 44585\n19433 33534\n83330 99430\n33070 90484\n71917 97360\n7142 18403\n79272 91594\n16148 26345\n3450 3805\n59232 90171\n3105 86363\n4681 55854\n9305 55547\n33192 46417\n65086 82352\n81434 92015\n24986 98594\n52281 55572\n3453 22651\n30457 44452\n15784 74446\n61047 93969\n62301 95786\n81397 98975\n60824 66680\n31486 73642\n67619 79264\n33301 37766\n9098 19942\n53054 59024\n43070 51491\n62825 66085\n34840 64213\n27756 46556\n48954 96793\n1750 9733\n29232 34454\n76623 83726\n30651 78137\n25502 34892\n434 51422\n10637 12093\n10498 41621\n775 27983\n18654 19312\n26466 43390\n17543 33364\n37846 51750\n9291 52448\n20531 38487\n16604 66818\n76165 94655\n45267 80840\n33329 84752\n34514 67600\n9536 23219\n48768 79806\n11298 59967\n62314 63881\n9495 27306\n26190 91058\n30623 93208\n49013 52961\n46842 60398\n10579 73639\n14009 42656\n8686 63069\n6781 75786\n27089 68362\n21665 51724\n46019 66624\n16312 17457\n45407 85050\n23429 28682\n26772 89812\n15142 74513\n21571 68347\n59755 66882\n18310 65766\n54161 77259\n3549 23589\n42735 55919\n4601 33211\n40916 76375\n82054 88275\n9060 81140\n28948 55579\n50460 98255\n36262 56563\n9633 98897\n82194 89115\n3568 93426\n22642 98101\n28822 42495\n18909 55537\n7213 90463\n34431 68699\n29423 34997\n15561 46511\n1798 42656\n33579 90087\n33266 76166\n2855 41808\n58017 81871\n20769 59959\n14551 39144\n90168 90733\n541 82795\n1790 56234\n34947 44373\n1566 89263\n36575 71501\n36286 84670\n46673 66352\n32948 73913\n51805 69950\n26536 37015\n28573 31007\n14091 75886\n53791 56381\n81523 84997\n21841 96700\n15296 44288\n13423 40750\n22664 73058\n47791 84708\n15284 35503\n29392 45594\n32820 83428\n22367 92725\n4372 55868\n58425 67813\n35195 75972\n57117 71653\n56820 86031\n8045 17247\n61812 72300\n69817 74415\n824 41036\n21077 37393\n52956 55952\n58387 75646\n15722 79839\n17099 88731\n6785 13683\n15127 50516\n22834 69877\n19086 65008\n47671 67061\n25062 46881\n42388 99984\n25871 63888\n12664 66521\n51640 71583\n6119 13212\n63100 80640\n29982 93880\n223 91107\n13926 80026\n50559 76289\n30000 95449\n10337 48112\n4019 94517\n8903 93221\n14307 22552\n36740 82473\n51541 60934\n81333 97752\n53702 62398\n81453 89009\n47519 74268\n26773 92068\n33299 58432\n16829 26334\n14704 55545\n39876 40419\n73792 97657\n53489 99351\n15073 53733\n3858 35450\n88895 93501\n60185 85311\n86674 96598\n21046 79003\n82902 85223\n25941 59930\n69835 80154\n10956 58123\n21737 63197\n95033 95347\n6983 11165\n586 66611\n25967 62161\n23259 97486\n4544 98947\n64211 72471\n23397 92450\n41729 72910\n12261 77894\n43538 81702\n50353 68498\n59115 63952\n37687 44109\n32775 97536\n21075 55104\n62170 80250\n54879 55388\n23776 49386\n76507 82628\n7734 30302\n33673 74375\n11202 56267\n6027 20185\n24520 85718\n9191 76179\n48217 96706\n47599 78985\n26390 47803\n14420 14947\n14629 23678\n11314 14737\n1 90457\n12849 54950\n19277 26552\n16244 75446\n28503 59593\n12254 30046\n13726 14821\n33009 92905\n30861 79211\n70181 85142\n2593 71098\n30130 32320\n38458 47393\n50336 58005\n6770 56355\n2418 53871\n57185 72705\n11703 37604\n35737 98602\n14082 46774\n25766 92315\n2008 31084\n46582 53569\n11697 94603\n68280 73696\n33001 78574\n32717 34310\n42369 54560\n21066 91187\n69667 76226\n5608 44156\n58498 91307\n3827 83689\n8637 69610\n9979 94351\n18725 96747\n25227 44098\n5782 81074\n46255 58246\n3863 47375\n8731 22568\n112 26691\n27917 72059\n34459 41357\n79785 92694\n3539 29132\n10597 44989\n68044 75509\n4610 62005\n70180 89209\n51698 91647\n52749 84453\n1262 42086\n43491 50923\n6484 12899\n9092 67953\n77860 84832\n16396 75777\n58683 62449\n30794 31133\n62174 88346\n64945 79576\n22373 55242\n3608 38049\n21021 98108\n53802 85535\n22393 43086\n49896 65482\n67454 70806\n23280 65314\n12355 84161\n83337 88012\n30807 70751\n8264 19622\n28041 54365\n17537 90371\n24779 97457\n6499 48548\n4658 78298\n82517 88316\n94219 94479\n22804 60791\n6673 19622\n1022 71309\n43064 72473\n2783 30199\n29255 62925\n5824 12350\n7192 49152\n3542 53341\n39341 52291\n28654 85650\n3082 96346\n23007 29539\n30484 74424\n32046 78854\n17635 97066\n84489 86024\n49673 96442\n4384 29472\n58930 76681\n56294 89619\n29410 77228\n32988 87702\n19404 64531\n15393 78583\n60387 93452\n29116 72992\n11016 36183\n15145 35278\n11586 29455\n17983 65564\n27948 35635\n33631 35404\n29870 62374\n6790 58596\n4514 28588\n13047 22417\n20766 54728\n11498 72763\n5875 24810\n17018 20118\n42045 61124\n61663 84911\n44007 70819\n10006 63179\n26771 87386\n21808 67984\n15962 39576\n48183 94604\n38379 90699\n33656 83845\n868 17603\n34257 93396\n71223 83241\n54099 65734\n11295 98377\n26872 71588\n45359 92661\n13226 43510\n23821 31680\n27569 74262\n25140 74210\n39055 96302\n21915 83318\n34290 42873\n37418 43860\n16825 67663\n24641 38507\n3908 53402\n36569 39618\n4624 94247\n68613 70477\n9301 79438\n9250 43062\n68115 74219\n61238 79159\n9089 61756\n38764 90867\n67954 70935\n66106 98980\n46640 47492\n57908 90018\n16306 50467\n34549 98043\n3653 53572\n57476 98353\n29630 83672\n13426 68028\n58555 97234\n13457 94560\n9129 36262\n5878 50728\n90266 95309\n13032 19906\n54012 84399\n25157 54226\n54163 92827\n3622 40270\n76724 83928\n55704 68756\n51813 86961\n39199 57436\n58512 81310\n59225 62079\n23 25773\n16551 29880\n52801 91439\n18330 49455\n1943 29034\n74 7809\n1011 98072\n31202 37257\n83728 93333\n14595 69042\n38567 43087\n5037 97120\n12103 72008\n25593 56105\n54710 89046\n66668 88507\n48914 62503\n6274 96488\n34217 56562\n798 8654\n64094 76115\n27976 64037\n32924 98643\n31241 66144\n80293 82322\n79366 93855\n32283 76795\n18496 55469\n36494 36830\n9738 47940\n68018 78689\n31960 41211\n24080 70405\n50421 83966\n40399 63426\n7265 48784\n91133 99361\n10001 48515\n52129 61867\n35614 85310\n51951 71355\n8545 59614\n2892 74101\n33795 73871\n11718 64488\n26997 79880\n46602 68664\n38460 65614\n30890 81398\n90710 94268\n9168 75496\n8843 58704\n19202 34414\n16089 23363\n415 94239\n51821 57034\n23319 33568\n72979 89454\n8258 89464\n38106 95497\n16611 39005\n83862 95200\n71507 81007\n77516 99072\n26768 83850\n59469 92967\n31645 87985\n29953 96959\n36924 72162\n9329 78733\n38892 81290\n22275 45825\n24398 84011\n64986 71567\n16811 43971\n4280 44186\n8301 22517\n24936 93050\n93111 98825\n851 70004\n57543 81738\n54076 99332\n45021 52099\n8983 11188\n5741 28586\n69732 99648\n69195 94447\n35442 72711\n47348 54339\n24218 51364\n21384 78611\n4503 54531\n40354 63786\n55482 90951\n2051 76757\n23901 65693\n66155 87010\n6333 55396\n44902 48512\n73899 99061\n25636 52527\n546 34182\n36142 70514\n17558 54456\n25940 55220\n21472 87619\n57863 91521\n67824 90768\n7431 8719\n16639 68001\n21141 93819\n17068 61521\n56159 61862\n3148 62512\n49686 50045\n31151 52376\n72317 86746\n78502 97214\n37487 61522\n13616 14448\n40823 52429\n22258 54336\n49306 93502\n64638 99737\n74020 82999\n67136 78888\n16016 52523\n6013 36088\n54256 82668\n24105 68870\n28828 96413\n2630 67451\n5819 48223\n56759 63300\n25609 42016\n49030 99186\n17328 24456\n39761 71218\n3855 7171\n27088 74722\n33211 91888\n64655 82440\n73974 88633\n41047 82950\n43216 56581\n67933 88491\n15340 53930\n78491 95259\n50047 95099\n2571 35803\n22936 29848\n798 80370\n80504 94829\n72927 93889\n52492 80611\n32641 82484\n81691 84721\n7509 63597\n19364 52240\n64106 72822\n28514 46233\n47636 92412\n58807 82694\n69183 74703\n51903 62052\n1350 59068\n4595 17208\n44806 79311\n53357 70809\n74852 90636\n44409 51536\n55560 73521\n64538 82019\n7621 53779\n15331 30238\n37571 52391\n25398 93673\n11193 18567\n21760 80652\n42812 84764\n46079 78696\n53837 76425\n22300 31555\n24427 66851\n37459 45863\n647 8357\n15024 20266\n55606 84570\n21511 22093\n72173 76827\n669 42874\n1136 36138\n13605 23880\n32937 53628\n71056 81384\n21659 86197\n37126 98330\n18243 42661\n44091 52639\n29082 75482\n34969 74389\n92915 99678\n34470 88393\n26638 28240\n40840 77098\n4266 41918\n13087 45226\n36521 37385\n42999 59722\n42132 62080\n26321 37692\n21173 94916\n52175 70362\n69016 78733\n13650 30222\n44397 51771\n11112 20660\n6206 19873\n39188 44743\n13545 33037\n3904 45915\n28530 36883\n26857 73986\n85273 90202\n23062 69408\n19822 82613\n37316 67192\n15648 82774\n44417 50762\n90752 98176\n6864 53736\n11555 65167\n16599 36608\n33706 89850\n48475 76933\n46436 68821\n50261 98451\n21659 94250\n17069 85046\n19816 30191\n4852 28413\n8448 50870\n52480 79335\n32870 37526\n79985 85712\n50896 63430\n6070 66390\n24093 36130\n11554 36497\n5369 8708\n14631 93909\n38847 73091\n55738 73416\n1729 36300\n10784 35073\n40884 56659\n47949 88523\n39641 74868\n16199 97819\n49823 68319\n36374 82373\n3193 54572\n35154 88759\n910 15805\n9209 42312\n24810 95614\n69707 90075\n7128 56799\n481 46334\n3700 27031\n21320 59698\n8785 96239\n21022 41930\n54633 85217\n36375 70537\n31286 88399\n9845 84665\n18685 48491\n91045 94036\n7482 71223\n20692 33219\n71932 90489\n7856 90182\n17180 24339\n13943 50248\n50322 51085\n32000 43094\n50600 93952\n76820 85237\n4844 94610\n69042 69757\n1595 49339\n19780 38932\n22576 25946\n31664 53225\n15661 88169\n14055 23550\n3738 69953\n36978 44912\n20834 54619\n44028 90040\n27205 59101\n66760 93785\n47518 89960\n16125 69289\n14041 33391\n14515 18767\n66842 96998\n43152 43937\n48061 65046\n23615 39501\n68981 92210\n26815 73729\n74962 87740\n14015 38459\n10339 62088\n21364 54252\n927 3453\n76484 79609\n63658 96977\n22555 61466\n588 42531\n40564 88097\n17226 20460\n5988 33137\n10151 46514\n2299 74811\n32494 55355\n85520 93633\n17853 30993\n22228 48797\n36128 87769\n34322 83822\n73980 90973\n13142 46280\n23198 95443\n21007 72000\n17155 64336\n14288 30562\n9103 27471\n53978 94038\n2924 94168\n9395 53281\n24772 29604\n71267 89692\n85248 89527\n34935 48932\n25355 80641\n2893 60304\n20636 93719\n32592 72620\n79295 93881\n30914 37796\n521 95394\n27358 56320\n55615 82643\n58397 70930\n18879 28577\n76064 93372\n10724 13831\n34756 58021\n4272 83065\n3081 77648\n13256 19672\n30405 69592\n46263 63797\n77480 91409\n11074 17310\n21565 92766\n6855 87398\n37195 69044\n58258 82330\n62890 84718\n39016 78491\n23120 77995\n34448 72157\n58808 92568\n50031 74404\n21718 64470\n15301 16363\n72447 92782\n16100 86130\n8230 28663\n28390 98747\n9625 43402\n8715 98868\n17165 90011\n3110 63920\n41141 69737\n11976 63872\n39831 57990\n20015 25546\n11221 13082\n67140 69311\n36921 65420\n1535 91337\n90005 94623\n3398 44441\n36224 45194\n34505 76297\n44680 93176\n21443 38679\n27221 82841\n42970 72940\n79530 91911\n37155 45776\n9706 54799\n69618 95107\n27268 95714\n8397 76595\n17965 67176\n56647 71955\n56188 82676\n7059 49212\n6876 99049\n56709 99030\n23991 73884\n19798 67877\n61859 84266\n27259 39626\n72804 81222\n19971 95199\n76941 96363\n20071 31507\n43173 51337\n7103 43614\n17309 54452\n4707 16253\n76041 85736\n50154 90627\n37189 65635\n43191 79569\n52007 64133\n78424 83264\n35609 69541\n3218 19987\n38900 52368\n4309 13785\n65115 69960\n11807 76075\n42991 62862\n31642 32620\n46972 81797\n10902 51820\n44392 46808\n45005 97035\n51971 92643\n33252 91911\n88355 97227\n39008 91499\n71421 72490\n44525 85761\n31587 77469\n71480 86208\n31330 52607\n14098 94631\n2903 88503\n51391 65318\n20419 33609\n46621 50193\n17765 24974\n26456 55681\n65006 72757\n17130 81570\n2208 8694\n25869 76145\n100 56915\n14635 86876\n14909 38218\n76120 89371\n32380 71401\n14742 80498\n70610 75376\n41828 48345\n35670 81941\n45134 89291\n31026 63891\n17055 56611\n60749 63304\n6206 44704\n21169 93398\n55746 60835\n22387 76342\n29161 48593\n53860 97740\n73206 80802\n29150 48358\n12284 42227\n75906 94547\n33986 96379\n71468 98253\n54648 92720\n75419 92930\n17323 68941\n21801 30379\n45539 92075\n9122 67850\n5610 8977\n3397 13873\n15143 45801\n4889 63436\n31172 94649\n79167 82313\n20839 37914\n15080 62879\n26955 84478\n13650 14640\n19455 88507\n32408 88720\n66536 95249\n37009 63386\n4772 37192\n79459 81257\n26161 68689\n39356 84803\n17831 78715\n35586 88825\n4324 45734\n2685 75999\n49321 52463\n65153 90753\n3040 67989\n13966 56253\n31067 46888\n5546 16844\n45186 59936\n52887 81935\n35450 81460\n6411 94051\n10107 70416\n55358 95660\n45062 73868\n10965 21213\n48094 50543\n59746 65299\n1150 44319\n50000 60419\n13731 46915\n7851 53460\n86987 99675\n27979 77382\n41413 49392\n77650 78011\n40384 90463\n8086 69538\n4099 22506\n53459 74342\n13427 30621\n8340 60186\n36672 64102\n6158 71442\n59108 98761\n31295 71595\n13997 61420\n29003 80170\n24545 25177\n71383 77175\n54765 79931\n28475 30393\n18666 44795\n2866 24536\n24787 30106\n10192 95586\n27800 83775\n1373 92931\n29840 69193\n20369 70196\n36135 50718\n73480 89407\n41655 47308\n40100 92384\n6578 67855\n49710 53139\n15955 19452\n35384 67902\n45913 68297\n6253 73571\n25438 83820\n65078 89227\n45689 77176\n85217 91407\n61136 90713\n5140 97109\n40489 54043\n37446 84311\n21052 30953\n74243 96509\n21086 71876\n66608 83490\n43557 97794\n44610 89344\n422 3596\n34035 96110\n14140 63314\n29237 85899\n21013 70552\n54682 72031\n8962 9238\n38966 95154\n30463 55961\n12985 79089\n29657 51259\n53524 94758\n36992 70857\n5171 72340\n3655 83007\n23363 97707\n30043 43481\n3577 78185\n11370 84685\n12622 89327\n57413 78359\n23154 72284\n86703 87998\n33487 55823\n41713 93877\n35740 64020\n16218 31224\n97664 99166\n18883 51549\n17894 19902\n61467 68275\n69613 85976\n1150 38926\n61591 62192\n16936 87433\n68995 95448\n82009 96989\n35989 71329\n29475 76514\n2203 73400\n19220 63163\n9876 49731\n30593 92707\n60775 66117\n20734 34757\n34561 81662\n11352 60371\n60926 85615\n47728 94787\n45759 67955\n41770 96205\n86850 93168\n21243 82502\n66890 98077\n3180 90758\n331 98618\n2559 84518\n23676 29616\n34643 66160\n32617 93697\n35762 94557\n22720 31997\n68289 91505\n64128 91425\n42287 72120\n26267 53996\n34638 78490\n13854 14674\n33704 84470\n29430 63946\n67344 85730\n59642 76612\n355 36494\n29225 58738\n47875 74230\n9180 25729\n51454 92026\n28678 76673\n5958 12419\n27421 41801\n27967 38235\n34756 90649\n43640 78782\n15737 69823\n82736 95625\n55443 66642\n15880 71307\n40334 84125\n24470 97124\n72954 76359\n64162 77040\n19189 70838\n47480 50853\n21885 79506\n8062 36057\n26127 71698\n84332 88849\n33116 40270\n46964 99100\n40069 47432\n61817 66247\n19736 73517\n26721 93700\n1618 22330\n41564 63185\n90710 91038\n60161 98604\n8382 79253\n9718 10435\n32211 61020\n84278 94686\n24614 71240\n43981 79869\n72643 75885\n24851 26358\n63225 73250\n54510 85088\n2427 31499\n24143 61386\n34613 82996\n57604 99812\n66539 92489\n33325 54470\n23141 44864\n40252 64739\n68200 83704\n41203 75010\n41086 64922\n8696 68767\n3443 69135\n17664 26109\n13178 43100\n64107 86901\n30637 88178\n59348 68806\n54872 72359\n4002 38508\n1348 99224\n6456 85450\n43832 80025\n16285 82596\n60874 72030\n497 15987\n24788 80503\n54014 71286\n43736 87987\n86015 87191\n22810 45071\n7579 79867\n34379 63323\n34368 87973\n28514 79075\n14459 61763\n67883 77101\n79248 80725\n17703 20483\n1853 54487\n6108 33328\n24295 33867\n8704 14130\n258 49662\n19258 49176\n15096 47806\n26197 45825\n82380 91425\n43921 90981\n59441 67662\n8641 94918\n74756 86826\n73410 93119\n58896 95702\n48327 62029\n22810 82901\n9786 54528\n37886 80720\n6956 16389\n15265 41508\n29004 84989\n29837 49305\n67760 70506\n25769 34956\n48668 56235\n17455 59821\n64681 73404\n64827 98790\n29007 44278\n41411 97672\n33872 56785\n10450 29153\n25765 63476\n48643 82102\n2801 9199\n51950 77503\n30696 85962\n19536 47047\n60721 62506\n39674 43740\n28843 62204\n84288 92210\n24368 81548\n31 61080\n16736 25184\n53653 71529\n34302 80706\n55997 74631\n96644 97889\n58483 67009\n32892 65732\n37386 39312\n5665 69209\n9971 46256\n32945 92845\n3416 14270\n51334 55667\n28165 95375\n51250 68982\n8835 47371\n34092 63886\n41546 49371\n33857 59951\n11354 33737\n29140 55718\n75085 95649\n90745 97597\n29574 75511\n33591 85884\n2824 81746\n38454 61687\n53546 95817\n38462 83860\n29167 69275\n61288 70578\n21355 27796\n19780 87033\n78778 82220\n20829 22702\n27439 75395\n49858 52702\n61135 82736\n6239 44175\n7789 23253\n5841 63315\n20569 59406\n66143 89074\n53376 88884\n3381 21078\n13173 37726\n46890 76320\n65238 88884\n4402 34064\n27590 43658\n45588 95808\n55855 68431\n62739 65571\n425 69659\n93967 94912\n93323 94832\n28467 93923\n43091 91806\n61532 70662\n65771 76098\n27511 68977\n7 44639\n20658 53580\n78288 81005\n19708 27980\n22867 77956\n41154 99490\n28152 35179\n31774 88895\n73038 81326\n54195 57591\n2360 87729\n64200 93062\n76001 81140\n6679 49511\n25603 61425\n33554 37195\n52662 59898\n55934 96066\n33770 50796\n5047 66573\n51961 64173\n51846 95038\n23001 35967\n45015 65317\n7063 26220\n46445 96948\n60700 79182\n52487 64684\n52384 85139\n11308 66608\n41621 46606\n11153 77951\n60279 96655\n32984 56884\n76706 85689\n703 20443\n73300 90202\n60045 63370\n4924 11872\n58709 99207\n51586 88707\n30260 54280\n205 91402\n36300 60705\n40466 92529\n13020 91088\n23669 29701\n25295 44121\n26350 73082\n24439 38071\n54052 79685\n78937 85067\n8114 84080\n5694 93331\n47408 98958\n12301 34538\n31908 70352\n42531 87279\n26594 50390\n29555 47086\n29546 99792\n73903 91073\n31649 75183\n5514 69506\n5844 95377\n33813 70793\n27134 99794\n8764 83929\n57278 60900\n18282 26532\n81844 95858\n74867 80083\n54547 94757\n55039 55474\n14155 58528\n15579 24604\n66172 87363\n43891 80609\n18292 45571\n33469 87917\n59853 63097\n49689 66469\n48378 83644\n18295 18505\n59654 89023\n76042 97419\n29329 44106\n20681 48016\n77611 83082\n85473 91724\n35699 93786\n18225 55936\n77562 85171\n40720 49932\n2518 32532\n22747 85555\n62005 79797\n13218 91830\n58282 93970\n4328 42166\n44244 55026\n73133 92670\n19798 24540\n3744 5387\n19572 41972\n67459 98809\n93390 96021\n14487 80584\n40943 84242\n31094 56592\n7638 80290\n3061 22729\n54095 87546\n40696 72140\n55433 72338\n58384 81865\n55069 88837\n83079 91376\n81961 84878\n16565 97640\n25391 41738\n40130 47637\n42245 44481\n39759 75966\n18652 83092\n79326 80993\n55970 63542\n38721 61204\n61445 93064\n45477 94905\n43049 59927\n21948 74145\n10795 21938\n63328 71488\n47245 55060\n54097 90681\n40223 50502\n10728 66279\n64632 70748\n51176 90968\n65396 76419\n19118 78338\n31199 58316\n38154 53250\n41722 45054\n11418 81100\n16772 74837\n62910 99627\n38202 40322\n14186 52324\n31733 78921\n66606 73487\n10467 27812\n55055 87884\n5750 92148\n26575 64053\n49014 56615\n48605 54740\n32988 42948\n10470 16581\n38331 71495\n3214 95830\n67884 71543\n65565 81607\n17119 29903\n75819 98064\n66066 87676\n90293 90503\n22903 36440\n6059 86738\n32268 43509\n51592 99472\n36066 96604\n55955 60880\n27236 48096\n3908 43300\n15276 60556\n3448 29758\n9091 82742\n7110 65582\n26307 31313\n63179 67205\n23238 61719\n37748 78369\n57331 73542\n8246 42555\n61844 62177\n36867 82835\n72080 86068\n43495 73265\n10971 44399\n1995 51047\n28569 92337\n10149 49832\n79054 90568\n2819 35634\n55737 91990\n40303 80592\n66121 75129\n64988 81810\n54949 79121\n11953 15410\n29088 91804\n12255 17433\n12235 50537\n52463 86356\n69993 91306\n64184 83074\n10731 24417\n36191 36349\n19042 46522\n17992 92527\n2122 12085\n662 88077\n34749 80954\n14654 31927\n15734 55260\n3680 76692\n1454 41110\n57955 82298\n8651 94207\n12836 99321\n65687 78064\n12720 48743\n62923 81452\n36407 99351\n25671 31447\n5564 41658\n43707 93793\n2462 76950\n61410 99908\n3043 98340\n27970 81654\n8179 43437\n26236 69291\n67753 76314\n2673 73699\n47503 67042\n48362 92819\n10221 76424\n292 12623\n35365 68733\n45396 65426\n26562 56160\n5016 7137\n24008 42750\n35633 59056\n28848 45446\n15924 33448\n69861 77722\n56023 95695\n13938 65256\n61637 94773\n29421 54938\n20976 49308\n78538 98582\n13847 54965\n31617 85929\n71191 73394\n27226 92745\n356 72264\n14917 38037\n800 58832\n6316 68297\n41860 67176\n31578 57908\n27075 47615\n41943 69732\n20704 47107\n6414 34850\n41015 86046\n15396 39649\n17903 70525\n6258 90953\n43033 92192\n20126 36253\n8504 40204\n28933 55335\n56876 78186\n19054 30761\n26109 79819\n60935 71625\n54878 65678\n15122 72524\n13093 80378\n14880 52478\n29823 45351\n41692 76797\n1191 74598\n17192 23224\n50618 85779\n16971 90276\n61318 79066\n10755 31376\n63211 98596\n78709 84118\n75493 87921\n41373 59461\n43056 58723\n12158 97246\n28023 58408\n51240 74990\n74594 88501\n55990 65794\n2880 11525\n34246 50641\n16710 47039\n87350 99666\n71068 91945\n60052 89473\n81992 86456\n70254 96672\n3612 78333\n74910 94101\n19557 23551\n82461 91202\n3026 53714\n8236 53992\n31981 91987\n9555 57928\n24604 91847\n16608 41585\n6134 72766\n10212 80052\n18230 74395\n3270 96086\n54220 58567\n7025 83802\n24052 58147\n48917 97440\n46510 76936\n83285 93783\n69288 92684\n31683 68625\n65182 76073\n21565 54897\n47369 63073\n19688 61681\n18923 36324\n6707 94138\n57118 99197\n11537 56946\n32381 39763\n6176 95925\n56366 72058\n46936 85826\n41173 47855\n29512 58069\n44991 70890\n73570 96453\n2657 11502\n84782 85305\n22899 91092\n16534 57211\n47495 63910\n40380 65344\n5103 29725\n28503 52600\n54626 84937\n6462 36002\n26755 94283\n30490 94952\n65044 90741\n34551 83074\n20356 90062\n13850 27197\n44660 98696\n57327 68003\n16011 44476\n45791 71207\n14382 80161\n56193 75244\n59637 67004\n93063 94721\n22911 68689\n11958 65008\n43558 80820\n73987 94306\n28164 80385\n35831 49680\n41258 65637\n21035 69299\n38591 52892\n7913 78725\n1563 32721\n85402 95132\n45177 83344\n26333 88402\n29794 47926\n9262 51978\n6306 78943\n40381 66282\n49682 72300\n19943 92441\n13394 54870\n6538 87740\n1571 94272\n18225 32121\n5421 23679\n53522 80096\n34005 62769\n6558 15665\n22534 71398\n18519 39260\n52903 84614\n29060 63522\n72670 81829\n75871 76028\n43424 92623\n83406 90971\n82432 83183\n43227 67019\n18450 85407\n65510 88995\n1761 45989\n9590 42365\n4176 6783\n18029 25424\n6225 10625\n76740 94977\n65631 80834\n21750 27087\n32261 46018\n33424 43841\n16507 22592\n36558 54991\n59636 81545\n50830 52153\n65248 99754\n26328 75867\n27191 97580\n9455 21168\n17940 47333\n24461 67321\n2560 48977\n22578 73940\n44732 50954\n21958 23381\n18110 33831\n2055 54112\n13694 33819\n18819 78777\n42322 45551\n76237 77703\n13887 21145\n6081 59024\n26692 51924\n9658 73126\n19171 33766\n4808 57422\n65424 82844\n48947 93950\n71187 99873\n30246 86329\n20627 61054\n1143 75920\n24315 89426\n4265 32234\n66188 68368\n95995 99949\n87521 98319\n41471 59480\n14725 73098\n14226 19520\n25443 64600\n47916 67263\n58883 78691\n48781 54605\n14764 98761\n11926 15237\n1065 96718\n12091 99850\n68249 69485\n44772 70649\n7368 53924\n31818 42009\n77600 85513\n20390 34589\n16311 69727\n2304 88714\n33801 88864\n26251 26496\n16575 23257\n51804 74844\n39195 63071\n82954 84440\n50921 90992\n45036 75450\n21453 44302\n43050 59787\n27664 66909\n53515 93785\n47936 73167\n3175 35420\n4662 87681\n72645 75999\n12805 32562\n56635 79502\n25490 61980\n28982 31071\n2859 99112\n59090 94290\n12694 85659\n62538 68028\n41785 55421\n32925 45593\n24878 61915\n24399 63102\n25339 26571\n4192 89793\n17593 19545\n20022 30405\n31067 94435\n63652 69118\n13280 15995\n33096 34596\n24626 77774\n7650 73688\n10013 39052\n14297 56208\n6239 46248\n87914 98721\n7579 35855\n70666 92475\n41117 95194\n15225 70514\n56771 96755\n23797 72254\n13568 93748\n4163 38334\n16631 41614\n36814 85639\n48811 95387\n16612 95603\n39030 47976\n43152 95800\n51653 53157\n22912 54814\n40322 62495\n30248 41655\n48700 91289\n36559 39357\n8563 49053\n19726 42242\n32716 66964\n38022 73868\n74302 74846\n53960 65431\n49544 66904\n67963 94331\n42389 92192\n52529 61767\n39203 71385\n11286 93884\n58312 63531\n1151 81101\n60429 68447\n84032 92731\n21601 72714\n9609 58310\n57958 92418\n35110 84918\n14026 26319\n75346 77795\n29027 64293\n40196 69503\n27721 93746\n7577 43154\n34918 68127\n35933 73217\n30638 76203\n5867 46172\n69558 74356\n62415 74095\n5235 98903\n18175 59089\n2461 90306\n13870 46864\n11866 20893\n24342 27175\n27188 58047\n1360 43174\n8413 9655\n19335 97261\n76071 96665\n43906 57369\n56375 84485\n17187 84451\n32088 58973\n1762 13240\n26902 95724\n27757 79126\n3941 47560\n7466 96368\n26503 58991\n13672 97928\n5775 36830\n88324 89959\n1326 78508\n22393 92163\n44538 82933\n34780 54361\n17895 22388\n4080 52409\n1658 26472\n39794 61739\n40908 83885\n31254 47080\n87473 95399\n53980 59549\n56802 58381\n40985 76251\n46040 72747\n46912 52237\n19421 83734\n21873 53237\n27024 58447\n60165 71717\n18834 49571\n43068 81365\n4825 89862\n11968 82561\n6156 75547\n81015 96787\n16103 51882\n4744 79742\n72503 93991\n12956 15395\n2972 43319\n2141 25449\n28473 75024\n38265 56151\n7191 7906\n65397 97123\n30487 89382\n30160 92120\n63672 88233\n29847 35802\n41266 43578\n6492 77846\n5168 18338\n5849 23425\n7091 29774\n57925 68541\n53708 75211\n36087 43307\n59661 70825\n49933 94310\n81758 90166\n38033 75463\n71344 86880\n21183 39934\n27557 91167\n33811 86442\n69299 86649\n47148 59350\n69834 81642\n32736 52191\n30716 45606\n10015 77904\n33711 96239\n47496 65624\n23436 65928\n39495 59092\n27371 91406\n40422 92170\n597 87508\n23288 45566\n63438 65175\n8669 47035\n1279 61900\n9460 59526\n32168 50224\n27327 75762\n7658 44098\n73839 91988\n52342 65386\n32855 35443\n1319 95836\n2893 73305\n60541 91134\n49253 81448\n45954 74418\n31620 53365\n34215 39363\n60507 95545\n9588 22144\n14285 33104\n71140 84856\n41187 51888\n61146 64790\n20894 88443\n19822 58357\n83635 89678\n24704 31365\n25817 26670\n64336 95812\n22919 70692\n1476 98035\n39406 88895\n42024 78464\n44233 79693\n34164 49981\n17795 77545\n2644 34800\n39051 56100\n3105 54102\n69995 95544\n1115 88420\n33411 62154\n16967 55606\n27512 35570\n39335 62438\n1995 32706\n9017 84616\n15291 81244\n9872 99077\n11667 26247\n73059 74519\n30782 91513\n19334 90780\n23783 74521\n60086 69244\n37942 87981\n27291 36982\n3001 9960\n46173 78674\n24791 40989\n31382 97419\n50248 77006\n53859 90097\n19692 47300\n2861 32725\n743 68956\n4339 29967\n48846 49398\n22009 34017\n63295 64698\n73063 78576\n47999 73415\n80478 97026\n20918 70149\n33918 57450\n2034 70766\n29984 40739\n15425 24063\n79311 87487\n9550 93504\n6961 76308\n60683 63436\n42188 72642\n71767 73320\n75348 96135\n2830 45587\n32931 96035\n19571 39726\n57153 84873\n23286 56888\n8062 96385\n35488 85332\n33131 77455\n28497 32242\n7880 67765\n14194 84462\n17108 35167\n8166 20803\n2597 29039\n14827 61368\n52842 85911\n18964 71105\n61113 97782\n18567 49402\n45214 55054\n6145 73118\n87921 94046\n19211 52629\n40691 79605\n40254 95556\n23278 81923\n40484 96416\n44160 56209\n12066 64507\n84708 85909\n58853 89975\n16413 67732\n36875 93127\n26738 81135\n12746 70407\n101 65100\n52450 82391\n46076 93103\n18819 25381\n61780 61959\n47985 84659\n3287 13484\n75172 80161\n9761 63449\n22521 33277\n29927 36039\n26123 27950\n53643 84861\n26488 99150\n18695 83561\n63221 78860\n68169 85552\n45635 54534\n33237 51954\n32424 73862\n53100 91660\n59804 73913\n47704 57161\n44965 80594\n775 55790\n6811 14267\n49793 69878\n25764 38996\n3246 59272\n35510 68743\n15907 23567\n60235 64230\n16735 59427\n12690 20367\n13022 54969\n30887 49554\n48884 82391\n15424 36539\n34947 88703\n48091 85451\n48710 78310\n2817 81370\n36744 85803\n43821 99268\n39053 96831\n32078 90967\n33050 52388\n70287 71988\n10027 59806\n61783 78215\n35832 80963\n57892 70846\n51611 86406\n1212 27870\n4349 20727\n42344 95618\n2233 90596\n80693 89393\n23940 49696\n20387 74968\n64149 83770\n71549 89429\n8552 73436\n25593 86925\n11126 78854\n45802 56607\n16979 72808\n60979 75828\n43445 51533\n27813 31705\n16079 66845\n50107 70293\n11241 98431\n72209 87573\n36274 85035\n82973 86734\n20018 62702\n11000 29780\n56104 76708\n980 67945\n50860 66815\n296 16868\n7400 53692\n15153 82199\n33893 47948\n10197 40763\n65451 67464\n66266 72129\n15529 90811\n5427 94972\n57268 90662\n13426 96112\n12393 53864\n83382 97501\n79109 81865\n33167 97281\n9893 50812\n8639 76531\n40316 66097\n39252 46943\n68409 72599\n12072 85734\n35034 54926\n7663 95828\n50773 93579\n15764 36969\n43506 57843\n7305 88735\n10367 45706\n20716 60298\n36918 40558\n41183 81450\n13155 95422\n4231 37541\n16164 22844\n32401 63538\n7630 70319\n69817 93455\n24550 36791\n6638 10531\n12426 90997\n2263 82953\n27440 40814\n9197 28582\n43598 71515\n48117 93472\n26892 64743\n26406 74809\n55783 63727\n30076 38179\n11925 78550\n12568 58845\n77709 98823\n22813 32183\n25409 42325\n92 26615\n3775 70029\n43212 88158\n39100 69824\n55128 92570\n22107 45071\n15970 90885\n17422 52113\n11681 28642\n8341 96390\n29771 85716\n44274 71722\n41005 42923\n2908 4469\n17792 40466\n8113 28011\n69601 88081\n8422 32846\n25419 57323\n31683 33499\n55981 92146\n77740 95712\n17792 42000\n1051 89281\n45700 48520\n6028 26336\n26240 85081\n27707 81044\n33202 78199\n66280 69475\n21007 61376\n23004 82886\n3317 39933\n25229 95401\n30792 91515\n20842 55373\n29525 46877\n59684 79284\n18834 52972\n40899 59915\n62280 86862\n5565 16443\n12964 21426\n39262 44686\n33262 39915\n60784 73847\n79294 97267\n12368 63375\n1891 15803\n36366 94645\n21011 53280\n57185 95973\n10084 47058\n57080 57440\n12495 37280\n46245 91466\n13115 55907\n55043 66785\n32546 40461\n84567 94217\n46582 58775\n17187 77825\n40606 78456\n18660 73294\n19837 90779\n30621 70673\n16088 29056\n27418 77017\n1873 35290\n70317 83531\n49626 85767\n12516 95279\n806 38090\n74768 90351\n22073 53061\n9848 20434\n17334 90039\n16960 87020\n1277 5771\n13213 25818\n4155 74029\n57756 94105\n61573 66961\n10867 90744\n22268 67704\n56985 65593\n5018 95670\n31616 53636\n41774 47271\n16948 47838\n46533 66321\n5325 58124\n16139 90899\n65297 93292\n44844 58431\n61411 79933\n17485 61616\n27871 63540\n41492 96861\n32059 41248\n39070 40666\n17940 97323\n3398 66772\n20239 73639\n9824 25690\n4827 58715\n50645 99828\n59345 88073\n51347 61614\n12519 72724\n13950 62156\n1906 13389\n85268 94274\n20390 35568\n73456 90474\n67087 99865\n57254 86475\n34049 54175\n16474 52018\n57007 62338\n12845 38403\n36142 63024\n5703 64512\n46748 78139\n9863 83584\n730 33523\n7992 59344\n48188 51381\n10825 22511\n65764 84079\n50610 89107\n5848 82921\n66541 78611\n1474 34301\n45154 72368\n9553 80560\n44079 61192\n39681 79410\n367 38452\n46808 95949\n15730 86266\n14329 34757\n10905 68384\n15045 85066\n20546 46218\n37511 91052\n1734 35864\n60938 74103\n3581 85699\n24537 82224\n90846 92583\n665 63875\n4614 34993\n44088 79026\n69009 91470\n15026 20721\n44639 88099\n19218 51170\n38300 68703\n12458 57505\n29663 67098\n22567 88526\n38026 51879\n42682 63531\n59672 78215\n14141 67972\n48152 66475\n5005 10095\n3456 93919\n23132 41753\n28338 87818\n4256 26739\n9899 27540\n31028 83335\n15585 76545\n34415 37692\n21362 76215\n27981 43975\n36672 37882\n54543 80067\n60176 69966\n38305 45635\n6018 94565\n15621 21136\n13845 32499\n2381 28652\n89274 93508\n14278 54221\n70484 85662\n2469 85663\n31751 55621\n46078 64872\n32088 73361\n23311 30457\n58218 89998\n12039 79787\n6862 14042\n59575 89495\n3593 61457\n86502 90480\n32208 35259\n1992 40941\n35083 43393\n84040 97680\n80355 88523\n15074 91523\n54947 76871\n49572 58641\n44757 92459\n81900 89759\n74861 84528\n50447 72242\n60913 82876\n4024 98648\n10007 33365\n2597 70523\n47582 63460\n2187 86784\n53776 79061\n17610 19579\n31983 58387\n33005 72226\n10956 94835\n25634 74381\n61183 92141\n29694 70597\n36996 79009\n66947 70315\n25057 96796\n9536 72860\n10527 91058\n837 76241\n18312 56116\n39836 40342\n36609 63498\n57529 80069\n25863 70648\n20426 90598\n53953 78530\n50714 78445\n71528 96794\n11352 58221\n33881 65410\n11151 78525\n26937 78865\n57099 89417\n15817 27068\n587 67138\n2288 24803\n1106 30280\n42938 55696\n8980 68807\n69224 73261\n13280 49748\n109 10954\n19938 78213\n4408 66574\n53936 76487\n42010 91548\n36922 86810\n90462 97032\n10039 34797\n51645 74474\n10362 58599\n40760 90778\n45094 93101\n43781 72892\n28774 59737\n35020 78574\n66815 87694\n34400 69459\n2258 78004\n45527 50929\n60941 85340\n12184 74330\n17439 96341\n15253 49374\n58940 72302\n47448 99020\n9418 37302\n36170 68400\n1690 93893\n5510 38865\n43349 63616\n20678 40630\n31095 47531\n7678 91338\n5144 83173\n79256 95160\n16836 27230\n15835 61460\n43753 96040\n46734 62114\n44556 92892\n22619 42378\n64326 97927\n39054 53453\n65749 99771\n13671 82411\n41956 77974\n53597 83530\n16725 72160\n9237 80416\n42446 64662\n4296 91224\n6895 68814\n74248 84036\n37744 70030\n64532 81638\n8980 75047\n19250 23110\n49276 60323\n28268 55719\n18979 74506\n33417 57281\n5877 25337\n30293 34772\n29070 47146\n68150 70070\n70277 96538\n1669 75864\n58012 99520\n61107 70954\n25985 47619\n41 29976\n44672 63317\n62816 68986\n26790 87734\n16362 49906\n20714 40484\n32277 82131\n22817 51150\n74512 92238\n1470 52396\n10079 23290\n14988 78209\n38776 39055\n44859 56722\n21588 82448\n31325 96431\n54540 67570\n53990 76700\n22074 52634\n5140 46297\n31888 32663\n4498 22095\n47625 61844\n15041 59072\n63422 73357\n67334 83819\n3887 12746\n18087 85197\n36238 51232\n10154 46218\n12666 42491\n5212 12804\n21482 71582\n12233 58972\n28488 48013\n15880 58659\n83698 91812\n80539 98542\n48140 87382\n25329 40988\n47083 54617\n33261 61604\n32628 43499\n30232 44664\n50593 54611\n77685 98802\n70672 80874\n17310 25434\n47789 77127\n4621 65035\n12055 83377\n33162 38491\n36339 87174\n8197 12882\n37016 64991\n14681 40494\n38988 42202\n26755 91263\n55491 81451\n6096 55021\n52432 95780\n8728 59782\n54825 57098\n42189 61076\n11713 91391\n12876 70666\n69059 88704\n33931 53452\n8416 31709\n16062 78522\n34283 78448\n33582 90680\n34159 58288\n5473 31305\n44329 71513\n16000 49945\n26205 85526\n10391 31009\n19070 81330\n57426 59624\n20146 90350\n8792 24401\n19438 81992\n43476 82164\n52462 80801\n50624 71453\n10429 90623\n62237 88536\n66570 67561\n823 5343\n6699 83132\n29244 98963\n20099 62062\n12862 16962\n91753 95290\n65322 89420\n68657 79974\n5590 38611\n459 20298\n24796 41626\n17133 26530\n34231 55467\n26834 93969\n30534 97720\n19626 91996\n57096 63331\n82101 96224\n859 80962\n11623 95977\n1905 30390\n51556 99725\n7201 49628\n75092 97047\n58134 74122\n1423 96940\n36152 47882\n13082 69466\n25292 70364\n30440 48109\n6719 38683\n50227 89297\n11023 43932\n12172 65040\n34685 76416\n31769 63296\n8393 31687\n74665 85655\n24385 92687\n89268 93735\n19716 23266\n45118 52682\n277 93136\n25285 55065\n50885 97498\n48317 90043\n28573 66618\n1457 82374\n6467 42257\n56471 67001\n51727 86677\n56590 86554\n6819 52092\n25215 97369\n37619 40521\n13520 32189\n15290 43192\n40358 83371\n14828 32291\n36648 67103\n20472 64078\n13135 35692\n71471 82747\n51331 95274\n7280 27351\n57803 91359\n66967 89220\n44156 44270\n51252 54115\n11418 39810\n24008 91268\n50987 73371\n2048 90226\n4845 21108\n10320 18821\n13421 91409\n8170 57675\n12588 77435\n850 43871\n11295 11389\n60804 82894\n25781 77313\n22597 80983\n4955 32608\n16936 31876\n52630 61629\n74488 89460\n9487 36423\n70588 89613\n16460 79251\n30243 50118\n60139 83831\n27354 61215\n32753 73781\n19452 54901\n55217 96955\n11694 79038\n32978 75196\n34712 59112\n71457 92193\n15808 52887\n22229 55017\n71932 83548\n30674 73720\n84325 88351\n6535 53949\n37873 94420\n50502 80208\n13358 56927\n18963 41607\n3392 87129\n75626 96889\n21025 43737\n53783 75623\n30740 56353\n29008 36072\n12279 23566\n45913 88482\n35227 98376\n7888 81030\n12479 90161\n47416 63757\n1754 5429\n8450 26731\n38552 99890\n4289 64955\n25893 68701\n59378 63644\n13911 43963\n32657 39167\n31702 63557\n28543 39040\n24776 55480\n13196 20303\n35258 56149\n24106 37104\n31806 50891\n10843 60816\n33173 82321\n52624 88141\n29740 91258\n2673 85792\n18160 28789\n38717 77056\n52405 75950\n5676 83379\n4509 94273\n41682 93627\n4939 29039\n29917 60260\n23185 32316\n36340 89461\n12387 20523\n35770 84669\n14476 54203\n52033 69256\n17619 48323\n47200 89680\n23387 36257\n25855 27712\n12643 67472\n20294 37009\n43090 44267\n58607 70926\n74360 81626\n28747 66677\n10000 34940\n12509 24496\n21693 46464\n67242 93666\n252 50857\n44846 94501\n37205 73006\n54855 89925\n21025 27135\n67295 95612\n43091 95315\n38854 69922\n75071 80440\n36574 75899\n1958 40045\n22884 44617\n13490 73679\n40113 99438\n29816 59650\n8391 16298\n86569 96895\n27141 40694\n18657 50404\n45835 89265\n45626 55075\n54843 92886\n13035 50716\n14799 43675\n37518 58132\n35072 92026\n21259 38495\n29158 31351\n4091 80354\n6328 53878\n67696 81877\n7922 36639\n31594 74350\n48439 80294\n42595 65603\n33398 90731\n8870 86487\n7993 97504\n2841 91560\n12049 86339\n25855 41936\n72659 73988\n17138 38401\n50025 86720\n10518 67721\n11187 54333\n23862 58967\n34804 54201\n23149 30231\n82734 85777\n19357 75948\n20070 71056\n82914 94412\n54305 69845\n45646 81903\n3944 48416\n39631 98914\n3922 86561\n14349 60179\n33931 37210\n6849 26463\n25890 52751\n40050 66311\n48260 50083\n48859 70851\n120 4433\n6379 92342\n2625 67721\n82232 96878\n29486 41225\n20050 21177\n53412 72358\n36154 39786\n12002 96832\n20482 34511\n44841 91814\n71077 80141\n53082 72676\n57936 87925\n48216 52104\n49048 62200\n37334 65363\n43146 61621\n20351 48548\n5281 7150\n61778 85290\n12111 92640\n10924 90652\n19125 49511\n15053 22305\n74623 92214\n63109 64704\n29118 45860\n41606 52617\n83978 89056\n53010 69869\n55718 58775\n39523 80062\n1438 84993\n31434 45872\n27122 93691\n53971 77824\n41768 53045\n25236 82116\n34119 88163\n99 9086\n38 48739\n5865 81227\n2472 19407\n30866 73161\n67497 77806\n24902 65889\n13984 25099\n27305 51260\n39835 64924\n55459 65794\n33709 84229\n20417 46275\n22782 49220\n36321 40160\n15211 70634\n21279 43551\n20514 66584\n63003 64811\n19323 92127\n62448 85831\n38860 91058\n90705 96440\n93108 99734\n65191 71199\n25767 69107\n47444 48093\n38909 77589\n65084 79089\n26710 31858\n35915 73723\n50853 87926\n17702 95242\n25557 33997\n3900 43721\n8634 97127\n53136 73693\n64459 99062\n35146 65316\n14760 73052\n16494 27874\n21314 66655\n71898 89938\n45252 48101\n28645 77589\n2283 52453\n34123 72342\n5115 93677\n30433 77627\n2478 17815\n24247 92263\n25402 63717\n10353 98643\n31133 40091\n21544 31109\n51630 57600\n85305 96658\n3944 73850\n70013 84212\n7381 29162\n7466 41578\n62628 86375\n18046 68001\n43055 48549\n25904 88460\n22209 82536\n68413 90775\n25755 99800\n70863 81977\n42413 62579\n80085 81708\n29416 67431\n16495 59243\n7317 97976\n16866 63398\n64441 66842\n23456 76078\n50141 79853\n62436 70539\n8260 58163\n55714 57983\n47957 53587\n21 88464\n54951 90318\n35466 99644\n88313 93841\n21504 84745\n12829 91703\n47223 77769\n49484 82232\n11339 34210\n58011 75324\n2246 36399\n14122 34641\n66196 91289\n6284 63278\n71257 83769\n84992 93762\n70992 71874\n9181 17806\n56286 84008\n80233 94269\n70935 73307\n73884 93113\n12567 33911\n28235 98174\n64027 93455\n547 51155\n87995 88311\n50296 76838\n31508 59505\n69440 71384\n83876 97591\n33818 60139\n26338 62413\n40734 96729\n30594 91485\n28356 37604\n13025 92812\n1410 83777\n22986 72774\n22495 77358\n7010 28480\n81128 82334\n34473 91187\n39438 48644\n94257 94377\n30513 46958\n24891 86647\n33007 43708\n16694 68499\n57886 77406\n65072 70697\n1885 88113\n12975 61456\n4181 17770\n22477 89057\n18537 55446\n15179 68861\n49612 89194\n3506 31767\n8861 29273\n59516 75090\n52246 88887\n76477 92735\n2565 99726\n5947 46003\n26036 63706\n40024 67629\n76679 77195\n15714 54536\n21259 86488\n3440 99146\n10994 69162\n33860 89288\n2488 18708\n1829 60757\n13530 56464\n35453 40108\n44393 90001\n31915 42958\n64883 84588\n52422 53138\n6059 89779\n23005 79839\n35774 94980\n73243 83719\n2851 93581\n17029 95417\n72209 94174\n9931 27618\n48325 56580\n8233 96508\n56666 72002\n69760 86031\n42343 76289\n20395 24748\n11787 24032\n221 81859\n1155 41713\n25624 90513\n65342 74035\n13038 34285\n38513 89942\n73754 87548\n45821 57900\n25522 81023\n38010 48283\n60043 93081\n54930 64286\n7084 91212\n2887 76985\n19769 54957\n29941 90822\n21593 77547\n8849 61437\n10993 69988\n43537 63085\n43954 68838\n16104 88160\n29503 51915\n32818 74433\n1610 89111\n48811 59031\n21583 29901\n23585 88347\n29887 71684\n29430 75923\n8970 57297\n688 68433\n3186 96584\n524 94935\n762 51396\n51706 67957\n19711 47247\n35123 88227\n17429 58614\n15166 65626\n36105 85914\n44179 50099\n8939 65116\n22640 54113\n58241 83691\n23366 64215\n39332 59193\n11385 35015\n8225 84810\n45687 83486\n11643 22932\n35166 67144\n18887 40769\n17591 33878\n53317 54356\n17652 85859\n24674 84972\n12419 16032\n67502 72963\n18308 54779\n8735 43140\n67639 79780\n43916 49346\n26416 51159\n12440 67674\n25920 50258\n246 52617\n6861 18727\n19118 65774\n20473 34933\n2743 80210\n24447 51524\n9866 32590\n11774 56391\n7215 13220\n9742 48460\n25460 84578\n7676 75548\n32422 46927\n9426 53150\n9900 44546\n83063 99790\n20647 68655\n1028 59245\n10396 46923\n54199 97309\n54885 72788\n28838 52226\n18162 61458\n74037 99704\n14752 30953\n3216 11092\n72846 77214\n13650 26927\n31751 38772\n35490 57072\n38366 79067\n5503 44712\n18266 32748\n31815 96200\n55247 66622\n32221 39127\n27118 45374\n6473 59219\n29695 92843\n23444 31440\n59166 95323\n13583 58119\n11583 41992\n57025 64565\n14659 97663\n48861 72135\n37782 79976\n70844 86571\n11856 37138\n13268 56257\n63980 98440\n12366 32818\n13900 73061\n39552 91774\n73443 88704\n3684 35175\n66045 67542\n12650 94333\n73253 99139\n708 19823\n909 45326\n84212 92493\n23300 44578\n9914 79066\n29026 44095\n62540 82501\n17752 59709\n36786 76065\n48698 82691\n15573 44567\n12858 68765\n7978 95253\n15355 69373\n9548 97874\n27188 82668\n39437 92323\n11796 15644\n45663 48715\n10834 99114\n32523 37374\n33073 34174\n43399 59459\n83629 84594\n34528 81201\n11183 17621\n50643 61822\n52803 61051\n49320 52214\n4628 76092\n12648 67385\n10783 98884\n14632 61283\n33213 34578\n19050 66515\n19200 57996\n11326 14944\n11108 63026\n22313 58049\n24048 59817\n21204 56920\n24114 69294\n39769 85110\n51867 59029\n28204 39213\n33635 66128\n2339 60157\n73651 75316\n4795 44553\n13125 64153\n22916 42773\n5139 68722\n3907 23365\n41054 67228\n11520 67810\n15590 61158\n35985 46614\n20458 40680\n20010 46294\n85596 87837\n5946 46795\n74341 77232\n32160 63084\n17087 73757\n12645 55540\n33478 83629\n9900 29956\n5576 40018\n25624 86686\n6157 68586\n29970 68499\n39603 68269\n3158 20561\n23972 77625\n11622 92902\n90236 92250\n28010 56914\n38969 72238\n40636 95107\n75106 89908\n25852 63058\n10413 20379\n20620 73058\n40402 57681\n34647 98889\n31365 84681\n14589 18763\n11479 21920\n97249 98937\n337 82160\n31073 59439\n16603 76391\n17169 75141\n61945 64950\n48048 77071\n12597 33287\n19627 87422\n16533 29769\n39087 60603\n31408 99986\n54041 71868\n50375 73362\n53787 54182\n77501 85113\n66544 80837\n55437 63930\n22310 79824\n3388 39964\n754 5508\n7692 54461\n1093 73369\n92117 93988\n27937 91680\n4512 22580\n49662 78761\n1481 62711\n36176 37285\n21048 53920\n40144 47984\n10881 66136\n49964 54085\n90617 99940\n21838 75897\n47073 94523\n12841 91674\n81045 98457\n61681 64213\n54299 99166\n65367 92504\n7125 62354\n63664 91502\n22882 47363\n20975 34830\n59392 95805\n86423 92421\n17435 36483\n55527 82442\n48399 91050\n14701 15883\n9861 32988\n1342 22367\n88647 91875\n21667 48314\n4667 42829\n26189 94571\n10127 81681\n63750 83992\n51184 91258\n31959 95598\n50660 93778\n29417 53117\n3516 44792\n10784 74659\n12950 39246\n2732 45098\n44503 78532\n18151 59214\n55335 78289\n19395 82508\n31037 86334\n31576 47439\n63032 86993\n87550 92781\n49651 62763\n74770 91110\n4869 36183\n7748 43337\n4588 7829\n1478 48078\n57107 76864\n51878 54053\n15857 35754\n46544 50416\n28221 36518\n22549 29415\n26130 36089\n61291 79337\n24484 35874\n23041 98223\n4068 92338\n45163 47704\n19240 89971\n16890 21750\n39114 51918\n12116 74192\n24735 91105\n27311 81369\n7572 41458\n71742 91641\n10682 18881\n21410 43138\n17773 40516\n38065 98222\n112 95929\n20111 33536\n3702 30892\n8149 16898\n47976 98055\n13695 36718\n22035 70455\n88016 97372\n69419 99627\n6714 71062\n15878 69994\n9744 59982\n17697 76391\n6733 15063\n43631 95683\n47174 51504\n16349 59340\n48758 54625\n23545 63101\n17707 36112\n42239 62444\n46802 92362\n69412 81616\n32516 68034\n47689 82368\n40159 61715\n2769 12281\n61818 77771\n29484 45590\n70946 93727\n53640 75629\n63314 90542\n17552 44662\n90309 90724\n71726 76397\n15972 86665\n22639 94499\n15489 24884\n26572 50426\n80645 92304\n35215 99170\n3439 94941\n11007 35754\n75167 84825\n55805 81148\n46312 49364\n26906 99230\n66097 77817\n61400 63280\n55450 71538\n5252 33383\n76576 93517\n16502 72240\n30213 47403\n52071 56699\n19071 92804\n43265 55801\n72936 81441\n58064 79010\n9957 92142\n12366 26739\n85141 87228\n53081 77586\n90931 91109\n30217 61592\n13923 72473\n73420 81549\n74780 84256\n12468 82044\n40555 65894\n31397 34258\n92402 99881\n11283 68354\n32254 59421\n39770 50583\n38389 85263\n16512 77676\n44053 90292\n5152 44633\n21966 92078\n44156 53394\n22270 81702\n60254 78268\n54227 93438\n48576 83511\n39134 39609\n45524 71000\n25250 91059\n41604 90269\n13851 53714\n6350 40571\n6396 70631\n29178 66709\n8695 21749\n27844 91579\n71989 93483\n58491 95830\n78987 97118\n64984 67936\n25398 55946\n35737 63852\n21893 83064\n42089 43399\n45589 60936\n16390 93643\n18250 49188\n40310 62897\n15343 82543\n40163 51523\n6698 13903\n9873 58509\n1387 93678\n43963 49454\n28827 65666\n69777 99575\n8944 67460\n35955 58726\n5956 43713\n641 29749\n7020 75632\n49028 72472\n73467 94981\n67106 80639\n7546 29395\n44472 46235\n14871 49354\n34324 72002\n26365 90605\n40472 94616\n40925 74403\n42717 89327\n14220 15106\n53080 83871\n65413 78096\n20274 56491\n1824 77299\n38472 59014\n18049 95319\n30231 80933\n2705 9465\n37700 84205\n31497 83988\n17144 75508\n21289 43690\n47120 49113\n29612 99805\n60007 68906\n31073 71389\n58958 70772\n22327 29165\n33536 42839\n27747 93872\n12452 99512\n38214 75946\n39699 89429\n11333 62724\n27934 36821\n15059 76705\n53853 76699\n42855 73348\n5114 60181\n40704 54286\n52344 79312\n45095 58938\n56807 60469\n72159 72776\n32768 34478\n44263 49404\n57337 59591\n75129 92761\n52047 81115\n40161 47976\n15463 80887\n74678 75466\n11132 24119\n66841 99556\n62049 94849\n15949 66196\n49945 58976\n4733 80279\n42511 78526\n7655 88125\n28192 60541\n44527 93292\n69833 75267\n4912 30372\n8116 80730\n97676 99072\n66280 97072\n30725 70009\n23490 53659\n15989 89648\n31144 74919\n31173 87925\n4495 44476\n24340 24782\n70810 83540\n6873 59317\n3634 49783\n1787 21415\n6641 16778\n12992 41843\n73580 79417\n156 1555\n48935 56936\n13882 82345\n31872 51621\n16086 72913\n6467 65070\n20319 66571\n2458 12137\n68041 88989\n32315 56829\n49431 95491\n61037 85717\n29793 78341\n87452 98398\n57044 57120\n37938 75229\n55094 76607\n6043 14764\n9585 42746\n18312 30711\n54756 71874\n55334 98841\n29482 55839\n10076 82433\n26791 63060\n13229 94934\n12993 45941\n91415 99510\n57586 73103\n3377 14558\n9786 14247\n50675 99060\n16053 90451\n8404 59685\n52864 96858\n26028 57844\n75377 92204\n164 89584\n38278 60134\n13536 86789\n38543 69372\n10284 52511\n66039 92086\n21550 40677\n34004 43392\n67060 69227\n25927 35577\n5700 43119\n17721 24492\n31358 77361\n23373 36511\n10630 38234\n33036 35634\n39818 91253\n72567 75178\n50071 97949\n25962 64654\n36796 44238\n69322 79203\n56378 59070\n6624 47886\n24725 45617\n35658 82839\n24394 94137\n3646 70273\n21084 81600\n13141 31206\n67249 79955\n27985 98858\n3222 75836\n20002 40868\n19352 64556\n68229 72796\n73104 89709\n71385 89819\n88593 91073\n14397 52896\n13785 93807\n19984 69783\n39292 64964\n20388 55659\n10491 89876\n9308 64691\n59727 68402\n9493 28570\n29878 72358\n79611 96620\n90206 92346\n5191 84824\n69766 85126\n8134 49327\n38636 96025\n23016 42700\n4015 99169\n32131 68397\n18596 26806\n59557 86096\n189 53399\n69586 86204\n71021 89670\n62287 84858\n50332 71166\n13861 98116\n4552 30215\n68784 96369\n15453 58582\n58383 82129\n7939 87213\n21489 47354\n18948 37451\n54730 63011\n30114 35149\n58786 95907\n59702 69978\n51638 77082\n38362 90819\n5372 53735\n89423 90632\n51669 93281\n13120 27490\n53034 68121\n48946 75780\n53227 82056\n35556 77323\n6607 80077\n50619 85552\n58192 63316\n37298 96985\n35111 96686\n21600 58077\n18966 93637\n30705 38003\n29703 57211\n22865 64904\n25436 63346\n20181 50106\n35653 46814\n1826 62228\n53235 88033\n44864 63111\n76321 89496\n54844 78010\n60622 94898\n8533 70748\n73819 76404\n434 58302\n16842 97578\n44195 81030\n25593 52544\n23440 46112\n48240 98446\n23697 89266\n65179 88734\n27211 70826\n3516 65687\n28736 33097\n35997 61489\n12450 63698\n38799 41917\n78193 97857\n19278 89716\n1213 79940\n32289 47283\n16631 28157\n28636 67058\n12125 21626\n2838 18437\n17626 66778\n14767 91038\n12901 65530\n27302 85520\n31375 36879\n5924 82725\n3137 70710\n7317 89717\n78445 87426\n4591 20958\n10061 85029\n36412 40889\n58518 85947\n30565 78784\n22145 87150\n10626 76174\n45742 84006\n16622 72147\n16982 70540\n35035 62241\n21975 88887\n60653 97015\n18983 25014\n28343 30922\n11999 46332\n33525 34982\n6907 8338\n11345 22710\n776 24548\n29473 44953\n40893 88589\n31088 94311\n27437 36076\n89276 97803\n23788 80777\n6686 43637\n918 42297\n7325 22888\n44283 69305\n32674 42070\n57242 86350\n2513 3653\n81106 98803\n5688 32617\n5798 92873\n28866 70592\n60038 75017\n2404 9829\n23541 95536\n834 26412\n7867 21646\n35824 96611\n59555 92629\n3205 30529\n40993 83658\n52043 71331\n12371 70988\n84120 96831\n34115 43011\n23902 60598\n35607 75177\n40000 70047\n45127 65430\n2049 80614\n46733 62240\n79176 94017\n21641 59812\n59120 65835\n21700 23223\n12163 62586\n30077 71909\n14708 81572\n582 55335\n64750 85278\n11547 45462\n35415 45237\n45184 48778\n69874 76796\n24950 43329\n65737 84399\n4011 15767\n4759 40029\n38669 50665\n36204 38634\n25861 53565\n46969 59900\n8752 79915\n39026 60918\n15543 42735\n4100 18716\n66716 85534\n693 51924\n13671 81679\n3741 59456\n4617 72649\n39869 69700\n291 91382\n3250 68382\n35043 75195\n20165 25990\n44994 70765\n46237 51801\n66573 67498\n5344 11477\n27900 38223\n30054 85744\n88749 92322\n84232 95333\n57239 77044\n35983 56428\n4305 17656\n33127 35684\n44899 58456\n16207 86341\n85736 99209\n24334 64413\n14087 47553\n47115 54832\n48242 79727\n8071 16100\n11737 93050\n12665 96325\n53118 60251\n59257 79367\n26715 81249\n76844 77032\n89526 95658\n6453 76862\n44913 86987\n22226 50143\n25284 29254\n1326 14430\n18983 96447\n51944 67338\n4988 98443\n84986 86067\n33851 94875\n31862 42983\n27786 76842\n17222 62800\n69769 96192\n33974 78716\n19636 86865\n38617 84981\n2042 32501\n38763 72161\n31036 97751\n30234 76418\n7309 59491\n72260 74129\n16792 49766\n50484 75219\n33079 80210\n3620 73700\n25787 50287\n56774 73132\n50233 82648\n84267 97028\n31727 76656\n45085 87943\n3668 79111\n50965 65822\n23582 99155\n28027 95385\n37299 58440\n27921 43723\n21434 86130\n28736 55061\n15906 61829\n54048 65851\n41925 47092\n69167 93451\n31753 74529\n77040 89236\n17080 52176\n26724 39335\n21043 44062\n72810 73164\n14641 26678\n17820 26068\n17167 70788\n57438 73396\n18179 52677\n60676 79199\n23857 44165\n25134 65623\n56122 64472\n32168 33652\n63110 66254\n3042 66523\n14656 94037\n13675 65819\n51856 60919\n5740 92316\n2432 30522\n20783 44353\n30151 34991\n87967 96125\n39021 83860\n56252 62908\n21597 41051\n24728 41855\n24071 82091\n55749 90853\n14834 25263\n3871 37926\n43612 48368\n45038 91419\n241 78407\n48636 60326\n28328 72180\n15079 79743\n42308 59604\n45655 63137\n6297 48414\n34250 69541\n90645 94316\n65018 76516\n18110 57003\n28916 99653\n65984 73688\n3942 17425\n39799 96701\n81058 81654\n43303 85243\n36607 69506\n1510 76226\n86089 93901\n23356 64365\n7219 50361\n6358 76181\n4733 54673\n26524 42736\n15891 95194\n44410 78892\n23892 34764\n16521 55732\n71407 75900\n45402 87374\n51510 63885\n13368 24294\n10978 68580\n52231 79182\n46901 85365\n6627 27136\n63735 96317\n92632 93340\n53902 65403\n25245 66547\n10914 99699\n38485 57238\n60367 94385\n9987 28230\n12946 26583\n35009 77308\n5108 11669\n17722 60733\n29426 52079\n21443 79624\n3454 3995\n66462 80932\n18148 49450\n18505 79319\n15681 84905\n85796 96696\n31075 32825\n44344 79821\n22472 65083\n64954 90889\n1770 7587\n53657 58655\n27255 78799\n91061 91266\n27289 43502\n53893 77689\n33446 91489\n31562 89858\n80967 87242\n55687 78792\n7641 73365\n47904 89651\n33802 34997\n39231 90022\n1811 8749\n9102 36851\n35296 81511\n47871 51142\n33469 96579\n39547 82299\n20890 44094\n19219 89852\n1676 6380\n39844 66278\n56567 97652\n14999 83067\n49398 99009\n12494 79758\n3641 81808\n46696 47155\n19454 22716\n10230 34112\n51604 55073\n12067 23646\n23244 73438\n44070 76784\n14563 28986\n17194 51064\n34219 79628\n11325 67048\n36863 53113\n75509 96895\n67786 69167\n24624 37555\n21637 37184\n61246 64373\n28743 55334\n60927 73664\n37757 94349\n49283 73749\n60162 74150\n28667 85880\n94728 97404\n22442 56646\n28076 76819\n62029 79585\n6080 29718\n7186 92020\n32095 79325\n14141 41192\n2366 11296\n84206 88662\n54632 69636\n44100 64466\n10912 31970\n62105 90785\n7628 79461\n60573 91286\n46025 50502\n9970 60324\n57729 73896\n29863 37790\n4054 59536\n65171 82395\n82447 90841\n49427 82781\n46216 46987\n33571 43604\n4134 78603\n48798 73241\n47996 89791\n27683 87497\n32016 58421\n94786 97333\n56381 91737\n33952 57830\n2801 59359\n43184 64372\n73618 89832\n36001 65771\n72454 78870\n8751 42724\n30750 61152\n41261 44982\n17149 19409\n13339 25373\n4737 77397\n35889 97799\n12452 31937\n16707 34959\n9525 99200\n43305 50477\n22851 93370\n51790 63650\n36597 77112\n492 35135\n72058 82223\n6479 21928\n16974 25340\n26399 69629\n33336 93869\n75537 80627\n31054 62579\n65217 72027\n54546 98983\n75593 94867\n72742 93299\n23883 50979\n545 82517\n35085 40789\n16278 71979\n17824 41493\n21601 59330\n76547 96294\n37263 72903\n13862 85034\n71453 91974\n32365 52407\n66087 90109\n56499 77843\n16429 46268\n41045 59187\n51832 89474\n58786 84641\n43434 96646\n3420 38777\n6667 50654\n22697 59236\n39489 52907\n21935 35491\n28139 35203\n4903 56965\n3248 76791\n10086 23832\n34354 56239\n20729 48104\n35458 36601\n73082 73121\n51643 99058\n14125 55436\n38187 62616\n27092 32705\n49737 94101\n32497 33127\n44782 94579\n18509 56227\n29681 31409\n43177 81124\n12473 51352\n8812 41368\n8950 79189\n17805 31937\n11548 42484\n57600 79663\n51359 55904\n54514 89483\n73404 89768\n17244 22248\n46189 93426\n47926 52920\n32133 47997\n66736 78021\n5750 64866\n7422 54654\n8689 29274\n38809 76982\n1672 85524\n28707 42699\n73946 96517\n4742 81420\n31582 49813\n27287 79586\n18006 56284\n6268 95875\n14886 42967\n46295 78642\n42375 87185\n31508 45584\n63821 96058\n4913 65019\n35574 61893\n16963 42828\n22761 49332\n69596 75606\n15487 43635\n24587 97170\n29672 41249\n24711 63847\n7933 89556\n28994 38439\n15947 43201\n59174 59219\n49462 72562\n27087 35986\n34583 51667\n32705 65832\n81013 89350\n39806 49459\n14220 36922\n80474 85158\n38384 52818\n40668 44582\n17855 38566\n27954 65177\n33121 50055\n40507 54880\n6671 46374\n64502 95061\n41880 62840\n28108 49772\n4025 97300\n53988 54736\n33704 69237\n24472 70910\n21938 63158\n36649 57648\n597 35345\n53317 84484\n822 14423\n2197 43904\n11019 68502\n714 47788\n79678 82238\n3676 70732\n35314 41213\n61869 71704\n8618 71844\n20520 45976\n38733 44346\n20856 52343\n70955 94448\n16966 44281\n13949 68946\n29919 53586\n51845 74865\n32159 33393\n42877 77010\n6182 38544\n17169 88956\n24945 70032\n39061 53742\n27644 46600\n63620 87156\n74308 74441\n42354 54984\n28157 98560\n39883 55113\n3696 40841\n29217 57922\n13249 20092\n30562 94674\n86910 95016\n10914 84365\n1324 80361\n33160 54592\n27980 63996\n35589 53442\n2514 98411\n27320 88796\n62236 78559\n26254 69268\n55837 69685\n64692 93521\n40363 81373\n19632 61945\n28655 78199\n68322 76766\n91494 96567\n36948 43940\n46202 65872\n32325 86604\n83551 88858\n11763 88138\n28645 98842\n21121 86520\n9167 31627\n45071 99028\n20437 60088\n47032 48273\n10686 68808\n1884 99257\n14988 25063\n12009 83826\n7410 71240\n39133 69631\n74829 89511\n8108 40153\n45583 79675\n22770 80291\n38370 63425\n76539 77237\n67532 90323\n32832 66100\n9338 57386\n67805 88176\n36959 97108\n61390 85452\n30263 94740\n1199 57289\n8453 13940\n71956 83759\n55562 86903\n18466 76717\n1652 35937\n30898 75721\n23743 44516\n42403 55797\n63432 97765\n42515 68822\n73053 85995\n5177 99494\n51037 79200\n2834 53926\n54092 55917\n22035 64788\n42073 66856\n64658 68860\n16060 93624\n29749 83733\n53571 93482\n62418 74472\n17262 43909\n49583 88716\n43609 49479\n44968 84108\n12974 68868\n21040 90834\n6206 41166\n47065 67666\n34038 34770\n19954 81552\n79615 81824\n10304 45415\n44341 95772\n62611 69599\n39390 74015\n29775 36020\n32126 69191\n42144 80381\n95477 99434\n85891 86940\n59031 90529\n19033 34572\n98104 98921\n10354 91139\n7729 28143\n1529 83212\n54106 54610\n16123 78562\n6241 32283\n54319 64727\n32241 37186\n23553 50825\n20342 83649\n33624 72779\n45033 48228\n42722 87935\n80180 92986\n39985 87650\n43554 46612\n1765 86074\n39016 56786\n67494 94764\n2574 88978\n53262 54349\n30114 69250\n26086 30399\n58203 87840\n86080 94615\n12630 28997\n1201 39980\n9514 53830\n691 48696\n42599 78145\n32684 39530\n5977 66516\n62682 85454\n45045 72199\n19367 70364\n3628 37260\n53261 54077\n30923 80789\n5802 70835\n3478 11148\n4045 18607\n25266 46382\n38164 54701\n44334 99734\n10922 35732\n30220 67554\n49582 81595\n15180 36050\n43620 71690\n21966 25702\n78543 90275\n28861 62922\n21368 89079\n26438 94974\n65811 97232\n2801 21925\n39025 82683\n24893 81063\n31753 54544\n17907 70580\n19000 68426\n53580 53965\n50798 99074\n173 41912\n80215 93750\n21551 98747\n18511 96254\n4322 14175\n16770 68261\n65338 92002\n20293 69638\n3524 28016\n6670 41121\n18261 42744\n3785 70953\n85985 87145\n19394 43311\n58353 65002\n89230 89274\n20094 90076\n8372 86384\n4727 59708\n17857 21707\n3067 18813\n71112 73896\n52150 91502\n33023 81127\n80452 91339\n23458 62641\n74827 86200\n44978 72310\n37912 60388\n33199 65971\n43840 66584\n77386 77766\n7348 34686\n11556 33248\n3354 33004\n7503 89099\n35699 42467\n11194 28649\n31825 63050\n37303 87587\n20405 58365\n62227 68876\n42144 47579\n39117 87634\n36594 74672\n28941 63146\n27419 55843\n26307 63466\n38066 83812\n31257 94859\n81955 86369\n48891 71112\n84948 88477\n17482 47339\n10373 90726\n5951 55978\n78526 80451\n73373 84529\n1279 13637\n39349 47567\n54348 90939\n6995 50966\n19170 28085\n8680 79002\n33030 95976\n30649 78590\n68437 84751\n32727 99830\n40714 97841\n32255 82352\n16310 25541\n9410 51964\n2294 76295\n17270 68004\n24624 36862\n49779 64982\n25632 31644\n8986 82210\n40474 43341\n55279 74996\n52035 79165\n42844 56829\n4968 54388\n29271 35534\n72172 79618\n45264 71113\n75677 87513\n57224 97463\n71547 94029\n2552 51715\n15550 91234\n80724 87575\n45435 51108\n2425 26076\n7819 93805\n4184 70037\n17823 38526\n36257 50981\n91046 97940\n89301 92991\n19717 88594\n674 43170\n28576 74281\n70566 73387\n11155 75884\n1309 11567\n37689 77474\n34251 57324\n9837 78021\n42751 80079\n42974 70408\n21279 32537\n58965 59501\n10086 63686\n21461 28264\n24867 45451\n20759 80786\n31551 93914\n44275 46773\n5850 34900\n31942 85463\n45238 52570\n41233 47777\n9177 95824\n43178 95558\n26877 27472\n44546 77404\n1073 51418\n2553 25143\n28921 74815\n66904 70899\n3493 37768\n52731 80433\n471 64076\n64668 66464\n8719 57721\n66 81990\n33888 97545\n7302 7304\n37210 43466\n27141 97168\n17279 78455\n4549 68412\n63051 75318\n51913 74715\n3027 16726\n42620 78478\n9174 28821\n330 80444\n22840 90753\n9424 31808\n1670 2489\n39844 95068\n39508 46944\n27055 32180\n38068 68690\n68433 71815\n28696 34011\n10271 68342\n20783 68906\n22222 67126\n2606 35584\n49561 73880\n29821 32568\n5963 48749\n26719 69325\n17929 21327\n1215 35832\n13580 27586\n5967 10310\n10162 30820\n38414 39115\n36605 68139\n13272 39443\n38953 75146\n69356 89007\n20293 53527\n17538 71101\n51910 95321\n32292 51099\n80511 95555\n74708 78858\n13084 59750\n35142 95270\n7388 99738\n25712 75912\n9613 34227\n65151 99390\n27257 48094\n53186 65875\n20657 97947\n79012 90977\n11665 38726\n77246 94847\n52383 76190\n29708 65178\n26902 75697\n63600 76648\n51108 94620\n34038 88509\n13738 32185\n16575 68250\n42451 62014\n10391 98575\n10559 99418\n8714 37258\n66146 99868\n77320 98541\n10965 86137\n35032 64860\n39215 44198\n25999 48055\n20747 45126\n16833 68494\n52258 74814\n18518 31419\n8040 88438\n59085 62106\n12237 57527\n1013 15633\n58655 90951\n47064 95837\n50007 67756\n5627 49012\n48323 91784\n52298 71232\n2818 34101\n697 80810\n2371 87034\n71262 94478\n62908 97491\n46798 53181\n39456 84407\n33965 90423\n31322 95805\n17487 23485\n20122 27914\n30081 95523\n56078 59928\n61422 75616\n47653 49315\n23810 90181\n34980 56965\n22578 27364\n47708 75962\n8657 37694\n3877 31959\n18227 34675\n24827 87983\n10537 57544\n65793 71996\n49999 62211\n67666 85169\n9641 39957\n51546 69843\n17382 60333\n1339 27395\n37604 66443\n23285 35668\n9149 40724\n29057 50159\n14636 41657\n10531 23300\n41172 61091\n21306 62340\n18058 76179\n10552 69399\n50727 67447\n9904 68578\n55489 80707\n37580 66609\n33744 67908\n34989 63489\n19891 44056\n51859 95993\n76429 84330\n70864 87574\n988 31159\n23302 43315\n25735 58432\n4967 22744\n23652 34487\n60817 98948\n87985 89021\n2727 96480\n29057 89068\n97498 98769\n56590 59824\n3207 83591\n509 23811\n611 11999\n63755 81433\n5775 86962\n14469 50643\n29161 51814\n40979 54456\n17765 22818\n4360 96146\n36797 64337\n4713 6673\n4166 44792\n19388 34187\n54162 79401\n1144 20658\n46559 78624\n30280 41256\n24014 64172\n3513 53564\n12348 43675\n28944 42336\n67456 71361\n43516 92070\n22294 51951\n31075 38202\n53797 62994\n3837 96182\n46254 53349\n15800 30561\n3573 29875\n3685 11387\n4894 97025\n62095 73866\n7649 17167\n54463 65372\n44109 89223\n1507 97996\n51407 88819\n30298 40445\n69427 77165\n1029 32076\n58728 68478\n28362 67913\n18100 39778\n33134 89476\n71327 78522\n42330 77043\n25242 81288\n45652 83844\n25790 47495\n10219 41731\n44175 98370\n48132 50103\n29141 35574\n32917 90063\n54489 73745\n28608 58795\n53130 54538\n41710 46301\n17989 83649\n20070 63130\n59563 65930\n32960 81543\n22760 53129\n1514 2408\n71157 99037\n78202 99014\n23305 82899\n69826 82592\n62744 63981\n60987 62838\n8385 10924\n53736 86888\n34498 49866\n15698 27024\n39332 74559\n10222 77572\n72242 75644\n7346 34740\n2662 18918\n9552 48525\n2392 11893\n13477 15942\n23189 83614\n9182 60786\n54684 77639\n28640 97730\n70716 96328\n34545 70581\n46169 81648\n15420 87365\n36648 59387\n52722 98178\n40547 91515\n9710 36314\n51433 78970\n19217 41148\n3906 97999\n14810 25756\n57167 80426\n13922 85141\n20659 31042\n6215 82451\n55658 92028\n22777 68962\n45157 65084\n33920 67381\n20737 91725\n20721 99674\n41238 45646\n10303 52415\n52975 57619\n33361 60214\n34712 92716\n40979 51598\n29324 62504\n7296 17223\n93689 96367\n75286 81346\n82998 92070\n20221 55495\n18539 51597\n22000 81292\n47902 65688\n12779 22186\n75065 82719\n61913 92500\n63471 78247\n9923 48049\n9489 69606\n15165 57723\n29148 45933\n68276 70284\n40030 55064\n234 89802\n7786 34037\n3688 6924\n70085 74662\n33568 70493\n94340 99453\n21755 42285\n62018 80268\n10986 27412\n32175 95116\n24635 28353\n43674 68154\n15587 54425\n32008 46902\n23048 97428\n35655 76979\n4170 18208\n33549 64546\n47276 54388\n32666 75034\n2046 20473\n95193 96911\n11182 94892\n63332 74477\n42010 43542\n50002 81254\n46638 93340\n8495 19668\n40935 41183\n92048 94081\n60546 70126\n31052 35830\n17882 49583\n17188 71385\n61680 84274\n51658 89565\n33409 73022\n4105 41392\n9372 72815\n32133 58942\n82717 99986\n46945 62292\n30810 58277\n4926 96291\n37370 79968\n19561 85412\n56526 96713\n65918 80256\n19346 86167\n27639 76905\n31545 51334\n10954 31145\n47798 71639\n70670 71811\n39651 73496\n61709 61762\n24708 61466\n62189 85223\n15855 97149\n1271 51669\n33079 95557\n53564 74508\n8949 35247\n67258 73017\n28137 33202\n33861 55307\n52979 98121\n29048 34413\n32571 65226\n10220 19767\n68486 89640\n22730 27936\n45180 73111\n39796 41211\n36889 40602\n24552 37870\n1756 43317\n739 84844\n35208 71801\n73052 99657\n33109 97540\n43871 78655\n59086 66485\n15722 43765\n5943 68529\n45543 46516\n58803 61290\n62932 76148\n40527 50765\n39196 62627\n58846 63588\n2255 46889\n2493 51326\n12268 17061\n26052 85533\n7024 15342\n29353 34460\n70356 77438\n95 65931\n14105 18045\n12777 51366\n57902 69352\n11514 67119\n67684 78355\n40791 55930\n21102 23889\n15925 56733\n87630 88129\n2917 30864\n6496 96474\n26487 64956\n1548 49866\n51056 51455\n8671 77514\n56518 84637\n65027 71484\n9857 40582\n1272 55116\n23718 49853\n44671 73693\n53322 74885\n25388 85574\n55837 74460\n39113 80215\n27828 89917\n2335 43706\n63328 98726\n43698 49357\n60336 85850\n28786 46387\n55435 71079\n20331 50492\n28059 33779\n6671 29254\n42252 89327\n35430 90040\n12151 43804\n24129 56839\n33445 81402\n25090 90120\n22105 28348\n31430 92599\n74790 77083\n48922 67561\n64737 68706\n31934 37983\n11654 55643\n7846 66488\n50464 66173\n1506 29541\n77958 80083\n34373 48151\n14650 28019\n53000 55423\n88465 89897\n15405 16865\n6687 79883\n26718 90467\n20015 48674\n45228 45347\n41545 68497\n37381 60642\n20357 49879\n14957 96290\n41914 50478\n48046 63580\n7913 32568\n85154 94996\n22020 54862\n22760 94538\n31233 85498\n57822 96523\n3631 10466\n8140 35181\n14584 65107\n23618 91921\n20633 31680\n12935 51925\n16648 69720\n17186 72220\n36758 40303\n8675 36142\n27949 77667\n19434 94260\n33759 44729\n15114 31069\n52228 61264\n1085 85013\n23237 98910\n10148 31702\n49115 73502\n37006 61448\n66583 73459\n6123 13695\n72 1609\n20659 96169\n37219 63227\n4679 52715\n29262 73244\n62283 70005\n52253 72571\n15280 44646\n64168 82763\n53383 96295\n42175 42531\n17799 30480\n20163 48372\n50568 64617\n6249 50505\n9908 84800\n57028 95822\n17162 50500\n2336 98878\n22592 90813\n1038 9788\n5277 78254\n46893 64505\n6120 35325\n19631 86031\n67016 86700\n12194 76370\n19012 72249\n68758 84524\n23707 99569\n45173 68369\n13925 44966\n44222 63454\n45619 51630\n5273 36226\n46940 57476\n25233 85304\n17792 88338\n251 47955\n15134 37349\n10647 99167\n2692 46067\n1332 67038\n13446 42687\n21705 43410\n12271 23561\n9549 47722\n5041 88406\n67879 91217\n726 61401\n30240 83291\n23609 94432\n13701 42339\n23470 47189\n88615 99445\n74620 91322\n23647 64998\n18726 57453\n23430 97219\n38048 60591\n41878 62857\n37602 91944\n8760 49353\n38007 62439\n17261 34359\n66784 83375\n45378 49797\n26729 94993\n74762 75025\n47852 59360\n11413 89406\n44035 72003\n14716 49235\n44506 54023\n46022 61723\n29302 66061\n49930 87406\n3056 74830\n46455 47423\n23838 80391\n6394 8993\n21512 58331\n28158 62225\n14301 69153\n45794 71445\n17049 99656\n7441 29075\n75520 97061\n61186 65752\n62863 91794\n93215 96799\n19509 47401\n4103 73580\n35685 41847\n70257 99260\n27749 92000\n28959 74047\n7818 79659\n29927 33584\n89772 97004\n10838 17845\n5198 16641\n52109 79105\n3785 74418\n48755 64035\n4536 8255\n25787 73136\n5838 89289\n77096 89857\n40384 57921\n45276 56907\n4271 53039\n48502 64384\n6495 23865\n38785 48146\n90820 99722\n11596 16365\n8834 47802\n70842 79713\n15495 89978\n77481 93999\n5632 71158\n32315 90084\n3029 85493\n3886 8448\n43640 88749\n42578 52251\n56705 97003\n23436 65715\n28926 39319\n16103 65623\n19763 78297\n21272 99839\n25953 73037\n52368 65779\n29465 63731\n43705 57247\n50059 68253\n40021 97087\n34412 57678\n52257 59334\n4401 11106\n68620 80845\n33101 99338\n14057 64001\n27202 34229\n60409 73046\n5414 5965\n44022 87293\n39519 62557\n13943 67508\n4143 11452\n23746 71815\n62696 86363\n1529 85728\n206 78218\n12199 25289\n17619 21245\n24547 66655\n7274 83109\n40278 65779\n8054 96057\n80380 83210\n23354 92989\n1185 41124\n12017 70898\n23261 64105\n31855 92181\n17198 72902\n91474 92775\n2398 77568\n37622 76760\n34071 67533\n258 45045\n4824 66611\n21633 69219\n38066 38927\n20849 67136\n73643 94841\n77814 80829\n33673 39313\n43449 96579\n14193 70564\n79613 96753\n71943 87551\n22054 69608\n83177 98826\n19608 60845\n14126 65809\n9574 49920\n27195 53709\n68315 90627\n17582 24635\n15530 44687\n82602 85690\n25382 73102\n10261 60914\n31743 79295\n36850 91886\n23476 56163\n50390 92371\n14871 29169\n26370 76867\n42781 75348\n6188 7406\n32250 78677\n81799 95512\n39602 87162\n55948 55974\n39047 91745\n23844 92080\n79116 91042\n3214 68312\n18105 60668\n22010 37929\n7112 31957\n65258 82204\n18639 74983\n21366 30393\n16995 59682\n564 59557\n9439 66588\n57522 92589\n12208 62106\n33146 75623\n43616 82789\n5731 21188\n8823 46951\n46523 79333\n69796 74338\n36192 57702\n39597 74039\n70844 79092\n40711 81316\n36088 64933\n45090 75604\n22732 92203\n21934 82925\n12002 50901\n40765 52320\n8024 73303\n3078 40665\n95181 98032\n3748 83248\n57957 72544\n33495 74774\n4082 68070\n51110 71971\n67033 68804\n27875 38223\n7553 12326\n8572 78474\n2179 18517\n1424 48669\n5117 12466\n11446 33349\n40461 83722\n1522 58908\n4455 16943\n72032 96294\n82670 86478\n29541 30494\n20794 49492\n18963 87696\n65906 67649\n20597 53249\n18847 66048\n48005 99478\n34117 82220\n60597 81835\n55576 67205\n20000 47487\n32040 65194\n61837 65838\n58933 98809\n58477 92194\n60684 80935\n8335 81392\n6664 20116\n51548 80825\n7831 19640\n3493 85840\n31043 95892\n1347 71381\n4753 38865\n67363 93820\n28317 70764\n16974 62003\n51006 58368\n49154 71215\n11608 92300\n76124 80264\n31668 37948\n54834 92633\n2001 9728\n17084 89731\n10481 23969\n10928 14560\n12033 96524\n26486 88343\n15380 64460\n30414 84805\n76000 89481\n35222 91809\n36560 74456\n48237 56487\n6666 79184\n15232 87011\n4714 92686\n5651 41694\n21051 23823\n31583 57619\n5551 33192\n48794 99056\n9606 58213\n19142 47707\n44558 84268\n30456 87738\n29711 77395\n64802 66705\n28526 52986\n10093 91061\n31018 89567\n60237 86080\n17759 36936\n28821 96910\n63847 74952\n61356 98819\n17142 87056\n4881 25054\n44001 84896\n42900 85832\n21885 54743\n22800 81452\n34815 46078\n67322 97245\n7072 36641\n28282 39121\n4068 68772\n27659 97129\n8242 82721\n41657 93878\n4674 89739\n20436 61419\n29645 93037\n40919 89087\n9560 22225\n77011 90762\n17045 27524\n74987 94144\n79115 97734\n35687 38914\n3421 23074\n42105 91674\n51844 74254\n11393 85840\n60606 88454\n6328 49822\n45183 74607\n5175 31624\n16148 27226\n1737 45928\n42023 64576\n8239 61178\n15950 34820\n18354 84915\n3642 20915\n91124 93153\n24613 78421\n58456 85383\n62838 88029\n8829 65083\n15793 95027\n36389 52287\n25881 91231\n31739 36289\n7541 15372\n20501 60573\n15301 73151\n37830 50827\n20744 46597\n33072 76473\n43903 68195\n25061 32576\n37113 56794\n46583 64861\n31860 93743\n38739 82533\n74681 90187\n3237 4669\n2556 8431\n20454 23744\n10435 96938\n2404 42765\n20187 50446\n3709 78280\n74556 80587\n14341 33178\n5409 64398\n3939 56020\n17306 74559\n22371 38658\n97238 97253\n8705 52943\n4863 49712\n9926 36364\n43036 49850\n58723 72345\n9878 97805\n3085 80725\n77416 93831\n22806 57050\n66017 68504\n75701 99400\n11396 18620\n85990 87634\n23509 63376\n11743 51720\n48961 74467\n81303 90432\n47347 93916\n6801 16640\n34973 92476\n58415 85541\n6962 47087\n56980 80081\n84598 95268\n19847 75728\n17202 22299\n48015 68349\n63612 76713\n91566 93311\n5487 85933\n27594 75084\n84012 85645\n14612 96823\n65113 78324\n33390 53856\n18150 21102\n64678 69622\n38975 86229\n9097 16028\n52225 62576\n59597 64138\n81195 85754\n13141 88921\n23264 26568\n16426 43715\n24715 61192\n25113 31105\n12213 68488\n68408 86855\n19646 23803\n67869 91951\n41530 70939\n8899 87382\n3844 39132\n71976 96263\n23758 65765\n376 39013\n35473 35932\n68170 85732\n887 57420\n39508 49028\n29191 65830\n2216 95406\n37243 90885\n64333 79218\n62153 66473\n76858 87160\n6795 50756\n50411 84540\n257 57401\n57098 90650\n63107 80778\n29514 92364\n35409 48679\n29076 81281\n10292 16470\n50812 70457\n22166 33223\n582 92615\n45880 60858\n22931 54473\n43976 65500\n32005 98532\n16631 74276\n33824 73133\n63720 96755\n26964 54245\n55686 71255\n22018 22380\n83671 84296\n23384 43060\n21288 30732\n13488 31956\n31982 96384\n64518 95860\n21654 87947\n46410 76037\n11388 30296\n32454 72172\n52992 79265\n18133 36354\n73303 75597\n37599 41145\n42188 58384\n18116 59478\n70125 71569\n28602 87632\n52040 55849\n57192 62860\n68367 70662\n70161 76382\n48650 90478\n75098 78156\n6102 73702\n20114 33198\n48925 58995\n32319 54101\n22264 58524\n76573 87976\n55940 84667\n7960 21487\n49887 78045\n1609 66581\n76116 82066\n10580 59674\n23079 27067\n29695 66034\n2309 90861\n79461 89539\n85853 86866\n61078 69405\n35247 75137\n6799 76815\n22548 34932\n54681 56505\n17974 90254\n77610 97922\n8748 76827\n21839 74184\n36998 95268\n41996 75910\n17455 64725\n51878 74789\n53857 70003\n12544 56428\n9393 24175\n35603 83095\n60101 64284\n52764 54988\n51849 77176\n9629 78541\n52791 89443\n7551 25404\n28795 55681\n22833 26723\n55877 97399\n13834 17762\n30052 80380\n77412 98915\n59160 87109\n956 20298\n50869 51511\n33308 91905\n60769 90145\n7572 77497\n5413 63556\n55525 75687\n53432 96935\n9790 78952\n9673 69357\n26051 77905\n26224 79215\n6346 22986\n19052 23987\n20366 32312\n37461 54636\n40553 90658\n25515 80361\n42859 64511\n54736 60412\n44666 78440\n6553 9668\n5791 73292\n18271 51163\n16528 94644\n65447 70745\n3118 44659\n66559 83911\n53296 72554\n5933 74653\n4423 26187\n2383 18292\n35259 79580\n9408 65775\n73205 85477\n59658 82647\n21129 58255\n75290 81293\n53803 85965\n5631 12685\n16918 84218\n81432 86480\n39239 85353\n31246 43174\n42759 68845\n19829 49589\n4869 61749\n28482 61141\n58005 63878\n23123 77801\n71511 90986\n76656 97622\n12325 61799\n76297 95778\n92645 97492\n33690 44826\n63188 86332\n11097 63480\n71456 77337\n15182 70623\n20875 22895\n28892 63052\n8331 38327\n13080 47363\n54424 62639\n5296 59279\n49473 77064\n24300 97272\n46180 64573\n24541 96208\n2765 32061\n3730 44725\n64773 85239\n8853 83044\n19427 83756\n17055 34589\n21452 80332\n61514 62272\n13837 83842\n7056 22708\n62938 80599\n7394 33268\n23096 39795\n773 12525\n20193 30237\n9093 24999\n10069 21658\n7474 84367\n49967 81143\n6457 38731\n10249 74069\n45232 94655\n2137 8473\n90905 91612\n16713 87168\n32004 93338\n21976 79840\n83093 99565\n82550 93990\n7897 65424\n85490 92427\n22239 31998\n48787 97510\n8390 42347\n19781 83633\n19640 56921\n11666 49220\n51818 77199\n86571 97628\n34897 63674\n1332 60935\n42870 89588\n2608 32628\n22574 97246\n7653 63325\n8196 90250\n1344 53454\n20653 25656\n74785 92563\n76246 89312\n43904 91564\n74610 89735\n59173 72419\n28209 45600\n16056 28636\n37813 54572\n27114 44797\n29748 87649\n38667 44781\n4030 62913\n23622 67059\n9383 30661\n33897 60626\n70130 88560\n46302 61402\n29647 40353\n85265 86486\n8289 67995\n10403 81048\n22207 91954\n14481 36937\n2857 22777\n62426 98432\n24470 53321\n13677 21752\n2250 78314\n73904 78345\n24318 72439\n71933 88831\n72593 80682\n43014 84925\n33699 69786\n11442 91885\n12968 44187\n1862 98139\n53946 91147\n80069 82667\n14615 95077\n16447 54709\n68180 81434\n40998 42165\n25091 68683\n75372 95254\n24012 99483\n36498 51507\n6501 38876\n29372 55122\n20813 58597\n69367 93891\n23922 75060\n38865 78966\n49524 95807\n1505 54364\n16488 76515\n3677 26639\n76665 99560\n9651 40258\n90738 96579\n50410 67836\n27660 30765\n52207 77692\n10099 23371\n14305 66061\n73410 93762\n855 2131\n26251 37635\n7539 84932\n14321 33369\n39860 68046\n54310 84218\n74689 76772\n16494 63918\n23773 45349\n9755 67328\n42167 77849\n18325 29769\n31647 98591\n22024 55755\n19474 74681\n42961 64490\n55677 55805\n59658 73434\n7580 25442\n5164 96284\n51302 83897\n37219 55254\n50861 70783\n5862 20406\n72215 73842\n5790 90540\n17139 22931\n56179 72211\n73810 96709\n55976 82177\n34090 84727\n15485 87952\n54132 63382\n12048 31217\n81387 97782\n54674 92623\n15463 29623\n93269 98178\n62861 67295\n23839 70819\n1629 16040\n6818 43751\n15421 77953\n49501 68017\n9220 84649\n72521 76247\n45550 74690\n48838 73816\n84854 87417\n5668 64046\n38836 88247\n8133 58815\n3894 77080\n51757 79136\n21390 36049\n50844 57142\n70679 72979\n45415 83807\n20105 82659\n12745 78096\n70050 91908\n9461 69522\n88778 96305\n29728 85456\n4057 40831\n14160 45922\n68850 86937\n67113 94747\n10825 14421\n54834 60340\n7160 97330\n75512 76509\n24728 82710\n2113 58580\n1387 34905\n34612 54975\n1044 60966\n43418 65102\n53121 91624\n32929 77740\n62561 70942\n83033 87044\n82416 84820\n9513 94333\n38480 66306\n4908 35439\n75269 97830\n45316 63565\n52480 99442\n23698 70218\n30643 32575\n19410 49636\n41520 58494\n47938 54934\n38562 95564\n59652 86856\n35943 93391\n42369 96096\n16616 62799\n51588 81829\n4442 8034\n28612 53430\n73428 83632\n34224 49263\n5518 76419\n23132 25015\n2851 98461\n11640 85561\n52314 62853\n2768 10067\n48785 91961\n60790 95181\n88538 97997\n63020 82273\n45155 72788\n21790 40722\n33801 66635\n80747 94892\n53969 96044\n35682 93574\n57346 81875\n7742 17100\n57951 93120\n9843 72662\n62767 89407\n10531 43411\n12710 73517\n1620 8517\n5126 70459\n74209 90262\n39105 75364\n36851 57163\n4594 71915\n59914 64092\n7295 40443\n33977 72671\n1808 84490\n1960 78444\n83880 95767\n46543 68190\n19663 46786\n7404 16515\n15513 65337\n6061 42721\n2365 43184\n12764 65407\n32278 40453\n39627 85542\n62007 83812\n89240 90499\n18163 96954\n27120 57177\n37492 65187\n35818 65534\n38668 57596\n10359 56387\n44391 49116\n26574 78365\n10226 95741\n39458 52512\n13651 75145\n57327 68870\n2307 26777\n8947 40916\n81808 99738\n66230 74436\n51475 58090\n54048 95389\n42614 73094\n10017 33249\n65124 72844\n5385 93820\n3882 73688\n41093 89762\n26274 97907\n8833 35265\n45271 92725\n23813 36762\n52323 72352\n6545 47151\n52927 62997\n23110 65314\n58946 66789\n43013 77882\n38697 66222\n30712 77346\n39963 86510\n37860 62683\n73790 76332\n55187 60884\n55203 60993\n46936 74394\n31758 53277\n2605 88481\n22606 86989\n57024 80446\n35437 56443\n6049 48669\n46098 64607\n15077 18689\n39588 88630\n13156 55035\n15388 98377\n71339 88344\n18226 76870\n77541 95160\n10847 74821\n24648 59072\n19815 90000\n55415 66549\n1166 98182\n43583 43822\n44550 59323\n21564 70981\n17061 86508\n39717 61721\n28848 68845\n79214 86132\n37107 37662\n31778 43129\n54411 81221\n12752 30551\n1189 23192\n7504 78409\n39405 47533\n64322 95296\n3113 97155\n1621 92212\n34548 69756\n35447 56108\n19450 70652\n25689 97617\n35922 91440\n14930 45485\n23168 56915\n91653 94478\n38843 66927\n48313 61680\n46449 73135\n50278 82775\n7071 54978\n28578 73998\n37732 84394\n16135 96315\n74748 79658\n898 49493\n35777 58212\n32641 65680\n40366 52341\n65842 85424\n50365 59986\n54992 65939\n12733 26084\n32704 50969\n3031 14664\n84888 93918\n1564 39952\n69984 78282\n10348 69499\n21471 91526\n50223 67830\n50695 72964\n66590 86702\n24009 66311\n4098 77803\n67802 80092\n28454 50636\n611 81901\n37219 96552\n37239 75635\n12949 76580\n76822 89713\n78926 93661\n19201 65055\n14235 67691\n21086 72829\n5865 8530\n48074 79522\n64016 93327\n8571 45706\n62308 88412\n9737 33995\n79667 88432\n39756 80506\n66025 72728\n23168 88557\n31464 66581\n75236 88219\n7512 11665\n16097 89758\n24737 76999\n36565 92340\n4261 97849\n12804 34557\n5638 46685\n29029 92297\n82055 94278\n15106 61370\n9564 65896\n4036 62941\n64599 85337\n9515 44741\n9267 19633\n22571 40083\n14227 50503\n41554 63420\n25842 65842\n39501 48405\n20387 22016\n2485 80449\n62295 96147\n87129 97927\n36089 58853\n39513 90507\n15415 97901\n44078 48973\n30628 94753\n23493 44230\n29104 63469\n43487 60648\n28324 45790\n22551 68342\n45884 60318\n25874 72185\n25247 34463\n52142 83134\n3420 73449\n42748 55470\n13492 72647\n24 29230\n19277 43631\n57085 85848\n68617 92545\n74915 80930\n4509 75727\n16087 36702\n4446 57422\n33778 65002\n19563 33166\n35826 83541\n46563 91913\n13718 96431\n21689 43865\n20373 46413\n13028 92911\n37669 40590\n22600 36447\n40085 81378\n9056 24402\n37716 49104\n27262 98294\n62546 67872\n75331 91608\n2024 47502\n12596 64053\n21483 45418\n9977 62815\n26326 44283\n19522 64203\n41131 56251\n8856 84061\n48617 93176\n82383 83063\n1898 83898\n64224 65133\n974 58502\n5722 78351\n60066 75560\n52924 86122\n38184 52342\n80365 91047\n807 24828\n79474 90510\n11243 38683\n29021 75898\n15136 81878\n19694 81312\n17908 57089\n85819 92139\n101 3796\n9944 17009\n14524 34612\n33307 48854\n57592 78232\n2652 58018\n43273 59559\n10731 27320\n38693 97888\n15273 57277\n41860 95023\n48483 49758\n28201 71030\n30740 49199\n13851 78041\n5370 98794\n12895 85044\n4684 87726\n38187 84617\n39851 71356\n49184 64936\n49063 93139\n84507 99585\n8066 55912\n79362 80217\n6079 60613\n35275 82396\n82392 90730\n50094 87999\n33034 36016\n58526 61178\n42107 50170\n13729 59453\n24689 98375\n7782 33680\n9358 55254\n49724 71404\n4956 46307\n16957 52988\n16427 73781\n20603 44395\n13966 31919\n6811 94603\n27142 75900\n57368 73062\n61449 67017\n578 33211\n76202 80222\n1214 84078\n30605 69691\n45167 88238\n29421 30442\n21448 69551\n33630 72346\n4356 82363\n31017 93228\n27941 65622\n23762 80841\n11675 60733\n29756 35030\n19309 19647\n16093 76243\n77727 99218\n71113 98744\n44533 49473\n66967 84775\n70302 96479\n73019 74840\n4992 15213\n58476 82063\n80560 94376\n21545 98521\n2005 58984\n26468 74932\n857 41466\n29810 41259\n46566 88615\n60434 67084\n19314 82951\n79403 97790\n57260 80097\n8383 42076\n17796 67927\n91261 94494\n43131 65709\n42264 90769\n68934 80915\n5480 60439\n29607 40794\n48183 48642\n5473 80453\n36231 60107\n58955 91847\n43903 78912\n57577 80858\n6311 22748\n79812 89804\n30652 33528\n36243 83803\n72208 87534\n9378 91728\n10497 31491\n67458 90545\n93875 99115\n50675 89899\n1745 82388\n14408 69267\n17662 54680\n87841 99138\n51529 90849\n7886 20781\n84661 89775\n7085 8733\n4316 79771\n32681 83510\n54493 70927\n11738 63788\n7239 26365\n30081 43397\n5455 88004\n44602 96394\n31188 58135\n94752 97231\n5676 55874\n26820 39873\n60655 94367\n14589 17767\n9375 63204\n40239 85503\n97650 98105\n9259 94162\n38845 93547\n1242 39041\n22601 35183\n19558 69129\n40002 90522\n36087 98204\n57743 74146\n35843 95611\n73638 78817\n57614 97672\n3690 22249\n20553 65067\n1567 32240\n47739 97349\n11320 62201\n67690 76605\n17253 27480\n22366 37281\n45740 78711\n20356 38196\n65267 96762\n8885 91445\n18266 55785\n19187 79276\n20580 99100\n17212 86140\n12401 93187\n13322 47578\n1709 76070\n6088 42725\n88947 97066\n76 78997\n19995 89751\n6238 47591\n61 80712\n57647 96143\n73004 99864\n33132 35010\n6673 19951\n29134 45894\n6404 56978\n7543 60822\n70556 70975\n23381 59305\n69101 94769\n63953 75955\n16627 59502\n30947 85308\n25382 95015\n1695 53870\n8850 66461\n31131 69323\n67032 81136\n48847 97976\n59805 67767\n36817 65299\n51112 99624\n19807 69585\n61601 61616\n3848 10963\n32524 76610\n5165 39198\n3455 59050\n4184 61994\n5853 22812\n46536 78343\n8759 97907\n38716 91646\n76919 90858\n12843 47134\n62259 74141\n17624 20301\n33238 96555\n15366 23690\n28398 46816\n864 34292\n13639 85504\n28561 52010\n32683 65632\n72025 77606\n31831 38830\n79511 86934\n1577 64242\n16840 49179\n41156 86124\n4022 67382\n9832 97582\n56497 81958\n9049 13516\n50983 97234\n37618 53081\n33136 47836\n11392 44200\n4322 5426\n56974 59324\n19114 65427\n79304 88148\n23757 52170\n23242 41608\n37500 74915\n66779 84338\n35316 93342\n25629 72494\n30033 76246\n52928 83813\n80568 90249\n67018 86544\n25761 73766\n60393 88115\n7028 77775\n7626 21916\n91367 97110\n4860 71156\n29366 74412\n42946 76156\n40326 62651\n21130 22905\n46606 74261\n8708 14694\n16364 42399\n45089 84254\n27312 82985\n3867 61719\n5077 69226\n36202 65690\n38348 96041\n38273 58058\n38154 84950\n16010 96547\n75712 76468\n16962 52685\n42764 84588\n7155 51621\n962 79733\n22843 61515\n21280 78950\n11271 51180\n14928 81915\n14456 64954\n4411 27374\n24466 65676\n11014 68250\n66702 82229\n7946 99129\n27330 89396\n17906 42123\n4349 75389\n8419 36456\n13661 43447\n77572 96279\n38890 96714\n10899 65562\n66493 89644\n7406 92481\n81124 82096\n14782 77602\n71917 81810\n54004 57455\n9277 78625\n47401 53535\n24062 45227\n12703 75302\n17231 52490\n22408 67204\n32534 41411\n30837 98282\n23401 69929\n1797 55926\n15470 24082\n51850 69833\n62910 87112\n4428 72748\n37293 47083\n9510 18901\n8311 59203\n57590 77114\n7695 64648\n12604 59597\n65527 68610\n7732 33578\n9246 43422\n67176 93318\n3757 25223\n23956 96827\n60286 67448\n47410 93644\n52497 97706\n85627 88632\n27175 35714\n40293 81769\n65781 93062\n4367 42532\n75725 86762\n25862 55008\n68953 82027\n20528 61704\n26302 31662\n66206 78747\n45972 99467\n15859 41939\n68729 74311\n17927 30303\n44493 45664\n54701 74306\n41698 49237\n40427 66442\n76127 99254\n37774 46580\n34796 70541\n58939 77134\n24310 92428\n10878 98434\n44252 51976\n11291 47201\n45151 78132\n4748 66224\n12950 45702\n51831 62073\n34414 70014\n14516 99488\n23363 59362\n58471 62892\n7303 10458\n73609 95625\n28927 92503\n41930 72215\n10075 24573\n61184 80255\n19699 30397\n15375 91827\n41353 73530\n35469 69220\n1281 82717\n36177 70960\n12929 42227\n2639 31279\n47638 96374\n2214 11389\n24377 91933\n40506 51146\n17035 76292\n62229 82291\n7335 47328\n3334 92715\n57955 86239\n13339 49602\n42068 75922\n49369 54606\n52671 81944\n12343 24344\n38028 61752\n16057 90082\n31245 62134\n8638 70192\n26912 30169\n58596 66635\n17254 56069\n21722 50856\n21841 24516\n65287 95702\n3944 18298\n39390 40068\n26526 57296\n51321 69563\n5393 34365\n8053 96740\n9757 18158\n81492 95121\n13930 76740\n2338 12120\n26644 93779\n59640 72100\n3292 99220\n28157 31459\n3918 71851\n608 98633\n34428 38190\n23276 52600\n25759 75183\n61886 75188\n80918 81372\n40716 93343\n14548 94591\n30967 43865\n6405 22225\n71871 87511\n15655 23458\n57604 97381\n11759 75043\n11589 76837\n27890 36477\n51451 88128\n4949 91643\n94599 99374\n50408 79066\n4419 97505\n18775 27112\n46279 57583\n9436 75449\n18765 53166\n64940 86456\n66254 66990\n648 44924\n1785 57174\n51143 78195\n53970 74513\n4810 88171\n86872 91312\n32787 96355\n4556 9768\n11353 90076\n9177 72142\n26544 82343\n32840 35216\n46501 48745\n18021 90819\n26629 66868\n55043 55724\n53680 54523\n67844 74189\n17682 44716\n8513 35504\n63514 75462\n35831 62138\n41137 67007\n43867 93552\n70401 81011\n20081 81657\n57546 91923\n14602 40368\n44885 54411\n6535 94087\n18846 51841\n43751 94723\n65000 79641\n29754 55573\n38399 39959\n41426 79539\n13719 59047\n12767 52901\n34962 49332\n61678 74039\n5775 94333\n36580 87854\n10045 72754\n22731 56196\n21870 60287\n7428 90453\n13197 20718\n57112 83688\n2264 32081\n48236 64205\n20755 61436\n90097 95589\n6889 99064\n16523 40600\n18020 62838\n9504 54656\n45418 95658\n62515 70415\n48757 83730\n3550 63471\n47795 50290\n8757 66727\n30283 66385\n18330 39056\n69500 98582\n40396 91200\n38729 86571\n20738 82281\n27168 70336\n53024 77883\n54798 98242\n63252 95557\n86774 92806\n68327 94986\n17830 38270\n5787 54640\n16352 21384\n57828 94288\n14006 29312\n2959 7030\n4413 36385\n8121 56697\n20089 34652\n29330 91090\n574 34237\n25889 84192\n1670 86748\n51228 59620\n45779 74776\n13362 49074\n46832 74295\n3080 87239\n41867 97402\n85815 95313\n63739 80486\n14291 87082\n59468 88777\n69361 80491\n67101 67225\n55499 92082\n29597 73103\n7228 56611\n49807 53149\n11691 64245\n47195 85199\n51015 59150\n6229 21129\n30968 90695\n54128 79660\n70601 74360\n18745 28855\n63351 63914\n1318 67149\n40632 87548\n10439 63533\n57127 61286\n61235 96573\n47820 66235\n25026 95422\n34208 55636\n5749 8847\n38504 76314\n54182 81618\n3370 44078\n18063 44859\n30075 58759\n26880 77331\n30964 92257\n15788 46790\n21564 30735\n11118 80220\n27581 54650\n45338 50145\n68788 70189\n73206 85015\n23669 71537\n36065 90828\n26655 68625\n19599 75890\n7851 10293\n50757 96254\n32124 67648\n16964 37076\n85217 97287\n74191 77885\n38669 69712\n54332 86262\n16332 24677\n69754 70544\n16859 33619\n53550 77069\n2563 52026\n45429 51584\n28192 35919\n7132 45314\n65986 88325\n86014 87200\n8739 33620\n27759 46502\n15071 82653\n320 8650\n806 63240\n33383 89834\n681 52801\n27505 55338\n14777 35301\n25322 70911\n14289 17933\n23243 78822\n24693 24703\n6165 82830\n25512 87803\n86660 96461\n27382 87186\n60895 78748\n82327 84708\n20949 50984\n65871 82705\n62683 78231\n2568 6359\n40421 57801\n48637 53671\n41183 80009\n24386 62293\n3106 12527\n14561 25598\n6644 41489\n43005 48517\n56231 60753\n29914 98974\n55551 99076\n13365 29150\n53291 78003\n23860 51782\n41373 71246\n40731 67629\n89003 96916\n31233 40950\n47028 93681\n14497 43660\n76434 97945\n60888 74051\n11036 53142\n68161 68419\n14975 67618\n70592 70619\n91577 97270\n34055 78386\n36653 49568\n78882 80945\n35757 69814\n25956 89257\n50605 62001\n4633 21300\n9283 27408\n31720 87515\n16732 88287\n75597 84667\n57512 74929\n40220 86793\n9222 63135\n27908 35239\n42421 46809\n6745 69715\n51601 89441\n66339 71843\n18863 84261\n9389 51181\n20494 63737\n895 24971\n54222 68351\n51101 84984\n37191 74675\n280 66899\n43798 80677\n9750 78933\n47105 81039\n12795 49025\n22064 37138\n17648 69561\n13138 65917\n60982 86054\n31038 72620\n46943 93845\n47750 96357\n183 9069\n26402 64012\n13139 49353\n6986 23152\n31526 59906\n31092 60615\n23574 89426\n46767 59446\n52560 69188\n11840 74787\n5279 32368\n41116 56667\n46755 67450\n13660 48484\n90450 99568\n34976 77274\n38520 78418\n35725 40909\n9837 70192\n36616 57601\n49101 72974\n55121 91024\n2646 47234\n5429 75719\n63135 73004\n10449 14969\n51969 84933\n23540 94361\n61565 89255\n67362 68487\n1572 43385\n4604 13775\n5890 8137\n31123 74982\n9986 15756\n80598 91433\n41788 49019\n56927 90352\n40442 85908\n16076 16208\n4075 57494\n59213 66494\n7917 55146\n43165 82407\n18631 76393\n29977 39370\n36959 74845\n77696 99910\n14408 60128\n87720 95498\n13635 35794\n668 37454\n32069 61930\n62109 78591\n53902 90046\n26104 81167\n30777 74155\n16936 88386\n65389 68288\n6500 38729\n30819 67264\n29376 48622\n33670 70203\n8608 19598\n34675 39901\n16314 36862\n55055 72598\n4279 85910\n9010 19455\n53113 86721\n64309 92514\n6529 99027\n27287 72301\n42206 54496\n60835 62339\n27986 66435\n9689 25660\n36998 38058\n72204 87949\n1950 5330\n25138 37817\n43349 81240\n11689 16175\n34312 82791\n36895 99786\n23846 71830\n60665 85022\n31631 32876\n19455 58199\n42383 74845\n35704 91706\n68965 86895\n51559 57987\n55511 57306\n19823 64357\n22451 53393\n18297 38121\n27762 42706\n27559 45899\n30487 38222\n3606 79229\n30178 50156\n6672 29120\n57712 72502\n28233 39397\n12164 20209\n70867 74071\n27051 88925\n24201 35184\n61499 96314\n20002 27736\n16564 25730\n75421 82694\n10781 57939\n65685 83387\n16000 81981\n24222 39921\n60900 75066\n29361 97790\n1797 21197\n72344 76703\n16277 33707\n64201 65223\n31154 46860\n8983 97691\n63786 93389\n23977 31851\n11775 45691\n12151 89226\n5336 47595\n11128 41086\n5355 38188\n91183 93487\n75478 84067\n21741 69765\n79563 84708\n59879 62853\n51477 99793\n12226 33692\n30500 97027\n1260 84241\n36176 92702\n44906 70673\n41580 70469\n21398 84066\n8913 23676\n42744 70056\n18255 35125\n37484 75320\n661 24909\n77125 88620\n46950 68373\n52243 85460\n51848 68940\n15395 34886\n20104 26814\n10212 22820\n2219 6118\n10777 48402\n631 58532\n26087 83886\n37787 59531\n49165 61377\n87249 89502\n40796 84359\n33711 75747\n20160 25700\n47494 87734\n68469 96736\n30709 93498\n30574 95721\n39827 62881\n12107 72245\n7821 97054\n89505 94960\n50985 98658\n28110 87272\n61196 71076\n52363 97077\n5539 21719\n72627 76337\n69221 69810\n16825 47236\n34060 61193\n72541 91706\n24893 99331\n32465 58474\n11253 52873\n31820 48715\n31986 41753\n29780 50937\n20481 70745\n17689 66944\n61487 62554\n47519 89051\n64754 90080\n56269 89789\n60136 74666\n13830 88993\n19612 32457\n34060 87296\n19528 86984\n53340 80880\n50109 62968\n32938 85614\n7648 65522\n45513 71592\n5082 83529\n62936 87672\n26321 65772\n79736 94226\n55009 90192\n8296 54773\n32943 40805\n41288 89928\n20566 32634\n31558 43053\n48118 91720\n54203 86496\n43666 93470\n55128 81478\n6648 39454\n53128 72999\n25659 51384\n11781 79869\n53658 77653\n30835 67309\n5612 38338\n13609 64583\n53044 58086\n39926 66771\n1448 99473\n33400 75842\n20423 35603\n67581 70472\n60851 92742\n48341 89275\n4215 54698\n7571 78281\n16461 85884\n91631 91805\n38476 52733\n15779 31598\n1816 66459\n48863 57525\n13981 95645\n6680 76075\n53129 94917\n85078 90571\n73137 98452\n79295 89474\n8916 25842\n71823 99275\n58999 62036\n825 49511\n25811 31892\n39111 74368\n18809 26932\n61251 62451\n19444 54554\n72003 80917\n5945 61314\n21173 67386\n995 79847\n50900 76695\n12288 45729\n56685 71034\n44028 72815\n49563 75673\n2878 28946\n38213 55907\n23914 88564\n67571 79309\n34633 62029\n48949 82941\n41940 45553\n46742 81650\n23288 81517\n86126 93697\n60980 67040\n67094 79796\n16934 73452\n8529 51373\n65034 94298\n39315 61441\n31497 38714\n12809 61234\n82790 86495\n4298 6270\n54858 74759\n22189 26386\n22663 92958\n39390 92209\n13270 51969\n29750 60519\n15645 42416\n62709 73536\n19966 73062\n15306 21093\n73767 75266\n52450 67866\n84559 98166\n42327 70121\n94927 99852\n91526 96225\n45403 79499\n30923 51231\n3362 61378\n49335 84038\n90834 98090\n34255 57359\n33346 62494\n6953 80719\n34766 75592\n35891 67119\n22423 38739\n32888 55985\n66689 70755\n72540 75486\n1628 51743\n70223 80013\n18504 88601\n91818 98780\n5229 93799\n56453 57827\n66467 67553\n28237 64696\n38280 41703\n31664 41155\n12043 65095\n74052 96175\n18173 39407\n17490 37995\n23170 71344\n73193 97384\n12573 55394\n9983 72189\n10817 31534\n38007 44850\n25436 74762\n40575 78514\n1623 76659\n88704 98036\n61593 71726\n4604 37210\n35852 58139\n37041 47720\n11887 61027\n65367 79235\n46625 82269\n57705 68019\n12487 14086\n67172 79492\n11515 39919\n26009 70465\n51927 52135\n52841 77667\n9445 25597\n55495 56178\n2385 42028\n10400 93344\n44327 92336\n11621 26767\n51896 80957\n6746 66820\n70314 86765\n71472 92110\n20780 42852\n18025 19200\n67741 95588\n31570 96323\n22490 22588\n89025 98113\n2107 84463\n14037 36480\n88639 96867\n7970 43357\n14577 63728\n90601 93206\n3210 87897\n51276 65563\n76758 89037\n23464 48906\n50543 67391\n10331 84959\n9340 34315\n24546 48365\n48351 64205\n3883 18913\n5394 82402\n66092 91707\n35154 62294\n12901 90310\n54881 86054\n49466 98326\n19697 97478\n61214 80501\n13967 61060\n32947 57658\n7507 41472\n6753 71388\n43607 69168\n38238 64854\n54338 62697\n17751 90264\n9896 62052\n2385 99602\n14901 18250\n16851 86269\n13852 50270\n1375 71082\n28588 28859\n53330 93252\n41637 84415\n72022 76191\n14941 76705\n72829 92315\n22460 87596\n63720 72286\n710 18352\n66344 73406\n7296 69353\n38842 89261\n13518 88119\n42343 89296\n94124 94712\n62530 70914\n21778 75134\n4450 93461\n25135 29413\n3316 75809\n9169 41583\n13702 95465\n59907 89476\n67717 88396\n40949 57009\n44913 79995\n10439 71074\n18879 18886\n36883 59695\n2312 54880\n21880 98063\n7465 65352\n4194 49109\n12531 86509\n91411 99791\n47991 56318\n84834 96321\n4474 6277\n7435 50027\n66891 69022\n21986 58768\n5590 12683\n30554 86413\n12965 92682\n44647 67280\n8502 10448\n61715 97118\n8496 57403\n1057 58992\n37882 41634\n37613 55173\n35316 41285\n35574 60407\n57730 67173\n34547 78206\n56831 62691\n35119 35251\n33585 82986\n53821 62526\n86508 95828\n29679 74164\n15163 89982\n3625 4645\n49909 97268\n437 74414\n985 98195\n13320 41029\n21947 54437\n45377 97503\n23448 62807\n26791 96262\n52884 89726\n9800 86992\n6146 21699\n21272 30047\n68582 83541\n55507 76405\n49029 99208\n32887 41967\n12522 69082\n2780 37538\n33030 61893\n21962 32678\n61280 63340\n37233 98797\n59365 79584\n30654 92679\n63447 81321\n21064 30766\n42196 85557\n78501 80287\n64700 96835\n7349 53592\n33843 47414\n23429 57177\n53823 55467\n31038 97141\n2392 4702\n37223 69044\n18119 85202\n15187 84568\n66905 81217\n28093 46839\n1994 64594\n45169 78087\n5547 51657\n8330 37276\n2376 6625\n13047 30415\n19325 72398\n64685 66140\n65321 94070\n5337 65067\n27210 34237\n7690 40198\n13141 49017\n9723 74784\n20470 22326\n24458 51809\n21148 30285\n25600 64564\n43211 56632\n49281 76235\n782 20322\n21413 72034\n898 89855\n18396 75587\n17242 72618\n35565 94658\n5493 19647\n2254 45864\n76288 78450\n18093 64767\n58146 60907\n10602 13770\n63095 68776\n35223 38123\n50667 85557\n12965 53218\n5320 43106\n16527 92981\n34084 77782\n14912 88991\n73208 91397\n27061 87427\n6889 67127\n13543 26846\n49237 83318\n27295 77059\n23806 89912\n17668 39991\n35785 64657\n12356 74249\n50489 61953\n35035 68920\n22656 46608\n433 63123\n36361 45604\n23394 51138\n10447 16481\n45834 48558\n16475 29032\n24771 66545\n18886 38964\n63684 92707\n72930 77396\n44549 48752\n7273 36811\n15925 86762\n25769 43700\n36907 40245\n7219 84351\n64881 65598\n2916 97964\n58104 84618\n20011 80823\n89928 92498\n5371 7712\n20238 38423\n55981 92564\n5649 18396\n26934 96105\n51449 80431\n33477 39249\n52769 71061\n10734 72885\n65756 80222\n7477 46044\n17663 67299\n59704 82898\n28406 62110\n29255 60358\n1863 86177\n32452 94504\n42347 89192\n19106 68650\n10463 27012\n69971 98047\n8568 39178\n69837 77674\n4762 72163\n28660 82044\n5733 72601\n32854 75353\n54387 82475\n30670 68899\n49006 87782\n81799 93785\n7402 29134\n30920 32790\n58811 65628\n64036 81260\n34737 68648\n34556 97018\n32115 49140\n21920 68016\n55888 60463\n19420 57637\n22790 64287\n76171 97063\n12290 88299\n65286 93169\n2313 78433\n65366 72792\n5455 71266\n2797 50429\n19437 38221\n16884 92481\n21974 33353\n39867 69596\n29685 89394\n33147 82866\n43480 96329\n48416 62406\n12924 15496\n75629 91179\n85796 86943\n15158 71556\n6449 72095\n48624 54705\n44857 67100\n32605 79899\n79407 97934\n71447 89992\n18641 65393\n43007 57451\n26855 36014\n61326 75317\n8118 20795\n60339 65923\n10757 49536\n28535 69420\n36140 84430\n40418 61062\n28264 64636\n27766 46577\n63218 90562\n29543 38549\n39847 95391\n23921 88919\n42450 43161\n401 28847\n35307 66555\n26049 94386\n49510 86984\n55594 77538\n29635 73323\n68810 78626\n31176 39286\n64472 65518\n26149 56768\n42218 71727\n44668 62328\n60549 78580\n17382 67743\n27637 44179\n67300 75214\n18299 79703\n32650 33117\n41232 51144\n23598 44731\n42081 42484\n33555 75486\n26429 56223\n40491 64188\n8795 45530\n44912 47748\n75226 98221\n74373 89093\n6244 62794\n6521 60386\n32774 52869\n11493 91023\n4266 40871\n5937 10540\n28788 39365\n75534 76802\n124 16327\n37197 91495\n42515 65217\n26759 71182\n19795 56774\n31868 67276\n56451 85192\n45727 93279\n71804 97311\n12767 36444\n8621 95215\n26274 90689\n7526 72925\n12988 94942\n39571 45129\n82112 96377\n41540 56769\n7078 9765\n35662 52582\n41705 74137\n46348 82336\n49639 91618\n23258 27163\n42099 83905\n43679 88107\n40481 82514\n38699 48830\n38990 86904\n44599 77898\n21508 93569\n59129 99854\n1635 14849\n22373 25336\n50043 60198\n58519 80209\n22243 43143\n36996 71370\n68667 75830\n8174 33195\n18406 23411\n26777 93486\n5014 13927\n49864 57856\n4622 6336\n50523 83698\n51000 54113\n33766 47897\n35385 58813\n21775 54141\n24870 78529\n24882 41734\n35553 45972\n46880 81236\n16538 16725\n25782 91217\n37888 91492\n13126 38149\n37022 84497\n41324 72234\n71979 84227\n45755 85564\n30931 91671\n32111 80595\n23888 97205\n898 35684\n62653 95442\n88094 95939\n25366 60534\n41271 53893\n2392 8885\n48932 63770\n35143 48664\n67378 95466\n56149 59177\n60984 84735\n27520 50985\n5429 87444\n87173 88167\n10184 33855\n29971 54960\n43033 83195\n62687 90768\n1335 63418\n60641 71970\n77125 89040\n37630 68179\n74541 78002\n30386 86619\n81363 90421\n53604 72198\n26278 65448\n9770 58511\n30647 41975\n22789 33434\n1486 84961\n7852 24675\n37715 67145\n29815 31091\n11943 53794\n37592 80621\n41911 68803\n34218 70001\n70690 89324\n8089 71117\n85558 90768\n6980 89807\n67924 94091\n6773 72992\n76301 94834\n33468 74080\n117 13409\n92125 96584\n65896 99319\n35512 67587\n58298 95679\n12835 30271\n29257 59139\n9574 75378\n60327 66270\n34616 91269\n37782 65684\n5992 96190\n30220 72527\n24249 72426\n9360 39936\n28941 55000\n86116 94847\n67131 99006\n16851 29465\n17486 69717\n66589 82733\n43783 87351\n7406 59572\n4776 33125\n48920 52425\n19972 63402\n18892 70575\n58140 80706\n5892 80628\n31525 34526\n66912 67537\n43335 98414\n30929 47242\n13392 57634\n6006 50062\n73175 92752\n17493 88309\n26462 35231\n58623 86830\n68552 88778\n76063 87869\n10325 12410\n80116 90970\n17896 75629\n5957 97760\n88953 91493\n12917 35038\n47581 94636\n54984 80241\n83704 99360\n13224 20475\n31917 70895\n10839 76979\n10215 30946\n75478 88049\n86028 92161\n17489 94849\n4680 26257\n38041 55302\n45965 47301\n14320 29097\n68730 76392\n79134 96379\n21136 34152\n14457 73091\n5311 50666\n30185 95755\n59705 78166\n14831 98512\n18324 57818\n33323 51237\n45545 85332\n42652 45479\n56794 59462\n19120 92262\n64252 81227\n75394 81149\n2425 63042\n15148 90438\n82356 96873\n23122 92342\n2397 76116\n48828 92611\n11550 16381\n81373 96250\n3047 43613\n19274 42926\n75723 77749\n60928 75749\n39430 96736\n62581 80456\n46287 47009\n53305 91346\n41950 54626\n26765 56777\n7530 57947\n3812 68672\n57169 59538\n3183 48220\n4540 65009\n52455 57578\n30431 60752\n5697 86689\n69103 71686\n11707 76434\n80474 95087\n25442 38917\n10038 59532\n27336 47695\n87192 87479\n32224 79943\n56521 85258\n7869 40225\n47088 91801\n79773 87345\n67174 70327\n49346 67481\n36521 65048\n49880 90489\n75972 95354\n61231 64410\n68409 88558\n25713 26643\n14917 32688\n4222 38333\n12417 32475\n41260 88388\n73066 88515\n63666 89038\n72117 96711\n6496 65750\n12206 15836\n72506 90910\n34099 61926\n26004 62222\n18512 22457\n46177 71464\n27685 30811\n785 77719\n50127 67358\n21467 51354\n79706 82616\n19588 63853\n71738 79443\n76884 99518\n67917 88846\n2791 46398\n14767 23075\n25640 65602\n7053 67848\n16648 39588\n45006 95024\n63932 89387\n16029 91773\n7228 53495\n9206 71133\n50359 62994\n12782 79018\n9496 78921\n23209 43139\n43370 51907\n21034 23675\n69188 78634\n33674 43735\n22142 73247\n34470 77254\n12912 83699\n8801 72602\n19130 92827\n1070 30321\n4761 26319\n47159 96137\n43837 49897\n50540 58133\n8060 20071\n8119 83526\n12369 32559\n43818 65540\n20549 86851\n24459 58931\n25759 58876\n45762 86620\n44733 68913\n51454 97659\n78933 84854\n58068 84038\n19319 55161\n13671 49654\n82773 86619\n29777 45215\n66915 87370\n32721 80233\n5823 32739\n19542 80987\n77937 97802\n9256 82867\n32462 90310\n16596 19484\n3440 15399\n33969 42317\n22596 96510\n32471 82175\n4087 77008\n3471 68367\n11306 18963\n40428 84007\n42144 61986\n57434 90238\n96 36896\n1747 94826\n28296 73074\n65755 76285\n30251 67694\n61542 87062\n51686 69451\n66909 95574\n25547 29681\n34578 79751\n63125 96415\n1862 30364\n58844 95408\n15583 45133\n67501 87034\n16910 34168\n52459 87926\n36638 46905\n28228 85389\n618 86760\n31709 51661\n29729 98903\n34548 40695\n71634 94478\n59777 86553\n55252 64924\n4919 36997\n6697 54005\n18608 32581\n43163 86781\n74317 94744\n30107 43907\n28351 32180\n2888 7932\n39197 79015\n9513 54779\n276 51194\n68064 96159\n40033 49323\n33010 79093\n14849 74191\n53324 69753\n33114 75627\n28993 75295\n40916 42852\n23093 65965\n2307 7126\n32812 42935\n62280 78348\n2020 82220\n26807 28354\n57643 72351\n9754 31249\n8286 16520\n5768 32701\n30103 48645\n29639 75568\n71007 77222\n83750 86772\n50554 63347\n61686 90600\n2104 2434\n84146 89361\n21815 89794\n22210 47440\n14466 78712\n28927 88048\n60572 92079\n26790 27828\n58924 73329\n1459 34607\n49277 86511\n9821 65320\n43182 99546\n58372 88864\n1301 76573\n12065 78018\n9093 57509\n69683 95485\n10297 94380\n31691 68822\n15699 96722\n33633 57659\n55982 71822\n84712 97758\n10011 13121\n1086 44049\n22814 98128\n285 16856\n12723 14979\n47779 59639\n6283 51882\n4054 61471\n28306 28900\n43091 69429\n74948 75887\n48948 49579\n33121 79646\n78755 84909\n7308 63358\n11369 40142\n557 25648\n92379 98535\n7551 46989\n23303 71293\n15463 63533\n54284 95735\n33287 35531\n78677 96516\n1379 35637\n59933 74097\n20316 45476\n49479 54011\n26933 65968\n6494 67470\n6180 14443\n58586 59775\n20502 77502\n54451 84348\n9140 62330\n53073 86061\n34954 38734\n4109 73450\n10845 13562\n49599 87679\n68529 95518\n17447 98349\n11892 59833\n20441 26865\n54551 80593\n17594 89249\n40634 90037\n32769 97621\n22271 59043\n49534 99743\n19853 54861\n7951 78028\n27535 57568\n64825 85073\n4584 85434\n22871 63880\n29858 42169\n2347 15440\n29865 96113\n13681 71937\n71560 97214\n62563 95315\n16802 39319\n6945 12725\n16971 48606\n90828 91838\n8877 12139\n18783 73471\n5686 92898\n8804 24681\n36294 68102\n3139 87547\n49104 82476\n44109 57463\n54430 80122\n63900 97629\n13874 59824\n37893 68863\n27116 99013\n42104 69434\n80360 89981\n16104 53230\n6535 10169\n40446 52173\n53016 81976\n6584 22317\n79381 87308\n16159 21745\n49686 90891\n29832 69285\n61090 74900\n49116 75515\n57551 77659\n71056 92078\n7099 64327\n63406 87882\n126 84608\n2148 63813\n4187 51574\n43102 96733\n25837 53211\n48638 61186\n30730 87825\n61035 66390\n63491 74369\n62049 78320\n2199 5394\n34811 72384\n38682 41483\n32665 93613\n19093 80347\n11462 76787\n43972 64721\n25705 29091\n74727 81628\n2330 15383\n48944 54357\n35123 58243\n15939 22709\n50382 56757\n25131 71554\n37043 53638\n17206 59833\n64899 82077\n2199 68216\n21008 71089\n4451 96854\n78936 79335\n11175 40184\n32726 63270\n83866 90195\n23962 62579\n15728 69273\n22758 94003\n21670 46761\n8510 42763\n16185 34601\n26265 66405\n15973 59670\n4772 54657\n18529 39900\n7427 88223\n18918 90558\n22871 77877\n6504 68642\n32531 42142\n10559 31231\n80570 85571\n2094 56007\n44778 70321\n30195 80048\n62739 86514\n7375 44911\n14822 40176\n31414 96094\n9272 24420\n7089 38999\n54479 66859\n19157 21424\n94243 95453\n84392 93761\n40448 85556\n70430 72793\n35040 95211\n13491 44416\n16070 84317\n53088 86844\n19497 35464\n27955 46260\n75724 80860\n41676 81731\n69446 84762\n41378 56032\n14591 38857\n97901 99029\n67458 98519\n27688 30906\n89407 91700\n51859 95854\n68601 93946\n14388 40305\n78656 91886\n26815 90518\n12610 76249\n818 14937\n12864 63330\n85328 98736\n7830 19836\n32870 43554\n5600 6726\n3265 41858\n56722 71994\n42562 67133\n4672 53267\n7861 35212\n53720 65848\n55728 90641\n21491 70060\n45185 74078\n13455 48275\n89235 95783\n19553 52710\n13923 69981\n19976 88585\n56417 73577\n71733 87254\n9150 16102\n7297 10079\n63908 80273\n52462 92117\n71583 74409\n671 55661\n15650 81889\n40934 75925\n51995 63619\n25124 32156\n12818 14277\n11278 32203\n77400 84983\n25442 76438\n2953 75672\n5388 46490\n90720 96300\n14509 91923\n53488 82412\n8350 93799\n20825 51365\n11572 42443\n4984 57854\n42709 76792\n85357 92059\n44417 97688\n30025 34799\n39892 42880\n60063 90063\n34229 47929\n46720 80599\n6813 85373\n1074 67551\n26848 29478\n13355 70522\n23865 55901\n35144 81911\n38206 93903\n6665 65289\n37453 86705\n170 2071\n63538 72406\n43462 61267\n62688 73773\n26320 90510\n66761 91489\n20875 76135\n38579 73468\n62651 76146\n9787 18132\n3147 82030\n74480 79365\n49323 90291\n300 11669\n67935 83189\n63866 78662\n32504 73868\n50306 66354\n41916 62884\n13995 75229\n14404 37325\n78744 92576\n85116 95770\n3641 71106\n31191 61386\n76258 85122\n67832 75019\n74519 79004\n45871 57546\n13987 99387\n12662 15765\n8973 94068\n38009 81213\n22855 25897\n20930 80720\n26793 72280\n50284 64263\n54835 93895\n14813 15546\n19242 54895\n480 35820\n2423 73272\n24026 27211\n19769 91368\n35134 71675\n77612 96251\n18302 94257\n10802 56542\n1920 60347\n11166 82953\n59809 98960\n60478 86477\n58516 76158\n33764 70089\n25256 40348\n8403 25923\n44474 87754\n44941 82144\n13338 91396\n22957 68807\n39636 84624\n22486 59532\n32017 50099\n61251 94523\n11621 87923\n22521 60992\n48233 79992\n24210 35163\n91945 98260\n40956 94491\n5161 51969\n9788 73002\n14605 46333\n6938 46180\n44729 89541\n16007 86262\n51049 52489\n27373 75099\n36753 65946\n71035 92965\n46942 70068\n73173 96582\n45436 88035\n42289 97646\n58732 61030\n12854 15847\n11368 73161\n32190 55742\n65378 83665\n4286 76442\n34297 95251\n10035 22352\n12954 55212\n10822 17601\n26311 69417\n2567 65545\n7238 28099\n81225 93145\n52276 63831\n10553 50732\n12997 53161\n54525 77454\n37952 89968\n7049 10242\n16852 36395\n91362 92043\n44949 75516\n31899 92200\n5322 14132\n17282 95161\n12644 84709\n33947 41379\n70138 92414\n53413 54602\n32626 48317\n28889 90503\n36294 38683\n17456 38924\n34425 67526\n14289 19606\n66327 94391\n38073 86206\n39815 47153\n21194 74866\n25838 82540\n9349 45364\n46874 74836\n29490 70583\n65382 76195\n7034 15458\n86242 90222\n41575 53401\n54505 84188\n55925 60828\n8747 92378\n61128 67422\n48762 86447\n59587 76761\n26809 99115\n50599 77138\n6121 34379\n7183 38499\n7982 52106\n29730 68919\n18067 79019\n81239 95002\n23610 66864\n1458 18112\n26972 35743\n63120 80517\n35200 83451\n2964 79114\n3921 93683\n49519 94801\n10076 18513\n60557 75856\n22794 62547\n14861 28235\n35352 95434\n37282 71665\n32145 69237\n41402 50653\n60520 99935\n68573 78055\n46532 47331\n85603 91527\n4614 33772\n36823 38829\n8992 32631\n27804 70923\n92764 96129\n10595 84306\n6672 7218\n9044 36624\n3872 43046\n62673 89070\n60335 64540\n36712 38749\n20963 31440\n35745 90497\n17751 32961\n16199 49985\n29992 36882\n81189 82474\n5094 93163\n13881 64428\n53484 90247\n69244 85231\n20919 69622\n75313 82854\n45913 48287\n25019 78257\n16108 88917\n35774 63242\n76939 88162\n43432 49604\n65194 74233\n47181 89870\n20289 88234\n34237 55487\n16593 58312\n81611 98784\n15807 28234\n7138 62751\n7904 76636\n10840 51908\n1347 1923\n53467 78470\n8003 62778\n25416 53683\n3288 20598\n12307 56734\n55907 93588\n12156 97679\n41313 83590\n9177 9429\n16153 29486\n9413 83039\n67409 92674\n17999 94989\n46894 61588\n42507 44962\n62603 97519\n66508 95767\n32546 86690\n17306 68568\n29565 55386\n19180 70225\n32162 60658\n13384 32704\n24271 29773\n874 49635\n86807 95454\n38810 62130\n10987 15498\n71610 85599\n863 52796\n44766 61453\n1084 40882\n71285 91519\n28532 82356\n22700 78589\n81438 97100\n28003 73081\n74128 87704\n5019 53799\n14321 57064\n38920 67803\n40554 94232\n18939 45359\n19075 93304\n74052 88865\n22075 43386\n59063 82866\n10694 33281\n44976 92762\n61242 73790\n36178 63440\n49325 75117\n78554 89714\n3269 72694\n22349 98082\n24637 99694\n5595 16867\n39237 53741\n60892 71023\n50830 95980\n9488 70942\n12904 25481\n12218 53018\n50911 76061\n3819 21440\n4228 84314\n40832 44031\n7615 47670\n40962 57989\n3692 35077\n16535 97829\n71189 77719\n49473 84734\n61617 85497\n5362 17721\n40690 85740\n43239 45498\n1596 99503\n51398 58931\n36987 66625\n42628 80617\n36165 98640\n41287 43004\n11796 29597\n58799 72439\n65153 82581\n49668 67110\n6705 81511\n39389 51376\n50964 86011\n67439 91797\n58082 59460\n30700 92078\n4001 33079\n44831 70166\n20099 98328\n61619 79353\n50826 73718\n37877 56256\n6624 24156\n11544 78330\n71121 90375\n15793 76949\n35071 92924\n552 27259\n21674 59789\n41127 84853\n32677 38150\n33554 84933\n64963 76338\n22120 50481\n55991 66975\n23121 63496\n40674 99443\n73130 75995\n61297 99879\n7566 36130\n1715 89038\n15475 60632\n17332 87576\n40750 63187\n16112 36261\n19219 30335\n30819 35118\n78186 89471\n54656 58249\n26302 92338\n19055 31872\n33641 37235\n21501 47261\n50048 62766\n4793 63384\n77847 81798\n17297 91097\n44968 75524\n77848 78264\n38981 63207\n11383 55631\n35178 88135\n3680 41595\n2009 94336\n66424 92427\n41578 76955\n9457 39565\n79047 90870\n16811 65675\n78102 98152\n5220 15789\n9373 17928\n55334 72418\n13795 62671\n57157 70006\n38088 72958\n1348 65129\n9924 58272\n5065 57603\n45065 81799\n14393 21535\n53217 65930\n37408 65037\n6701 40463\n11131 47361\n75534 85603\n47205 49332\n54942 65392\n53359 55405\n73904 83019\n28229 37718\n7007 24747\n30587 94275\n72242 89642\n48093 71084\n16239 66662\n46974 88282\n9508 13582\n80014 89997\n2149 45100\n19152 44853\n10046 75702\n8429 31949\n10505 38036\n19722 43908\n9511 28626\n16406 64705\n30284 46549\n28032 50342\n26810 62256\n56519 77776\n56922 69600\n41950 49988\n1685 92441\n11146 71484\n47242 89484\n29946 86446\n56453 88196\n60799 67259\n31899 96973\n37816 73649\n28592 44183\n51956 67091\n487 60699\n17422 42921\n55660 79127\n11175 68668\n30989 42001\n78229 83670\n40129 49959\n35336 55535\n39627 88187\n29927 42972\n11442 53348\n26331 64092\n32976 67537\n66027 98160\n39754 71237\n16700 77062\n57186 84791\n2309 70486\n35676 42898\n90722 93265\n6229 39567\n4855 61378\n62414 84747\n7114 67127\n2321 43906\n26558 54177\n5649 65131\n17249 80156\n45546 75331\n40107 90417\n55360 83018\n16686 46144\n73731 80438\n81551 96359\n64151 76682\n55779 72255\n16011 84391\n68598 74994\n19189 82891\n9906 16470\n802 91973\n36982 58058\n64090 72241\n2500 64707\n41327 93369\n25370 40069\n11688 91591\n41996 44652\n66896 76415\n40659 66142\n81243 98175\n49171 67139\n50334 62898\n87399 90874\n74999 92279\n10078 62162\n65187 67723\n62618 66220\n5779 49054\n9751 84575\n52433 52862\n46145 62253\n4440 33609\n42642 95402\n22496 66889\n4150 6498\n59189 70525\n19321 28207\n25550 74316\n31214 99298\n15599 23183\n6006 74288\n3532 70132\n10248 65150\n12532 20035\n31978 60899\n47675 57303\n43307 49086\n1883 90850\n39172 58592\n72188 79636\n1948 40888\n45286 94834\n56783 81866\n37905 92532\n28188 87620\n45577 71786\n63532 68717\n77171 78411\n41803 79398\n8569 96398\n24849 99047\n63709 96756\n10950 24261\n29662 39304\n1471 74001\n46605 52861\n3351 90936\n70069 85644\n42003 43854\n2515 23559\n70843 81871\n80788 94817\n37885 93210\n6750 99020\n25820 80673\n37333 62729\n740 38999\n15079 89356\n82684 99978\n52933 65745\n25798 72301\n15362 71892\n39517 58505\n11223 83591\n41818 58702\n28721 94488\n41469 53663\n6660 16503\n35152 37909\n3158 35587\n15652 23542\n52205 89347\n42503 55356\n21251 32129\n15503 63507\n66210 69569\n1556 87844\n12825 96211\n7510 81497\n30584 41344\n47013 48611\n93564 97492\n39177 63950\n63783 74922\n26277 35788\n43945 61453\n34746 41658\n48161 96588\n9007 65616\n57174 94095\n62624 89037\n51624 57825\n33562 41480\n24988 54146\n33223 81580\n33447 72812\n28216 29253\n67360 95239\n16365 78274\n59528 86790\n25693 29009\n5573 62635\n7154 30749\n16990 22083\n9513 16018\n32488 44503\n33829 51629\n10432 69702\n42241 42586\n18605 97804\n5514 65827\n43785 99080\n60263 93838\n42938 77774\n39063 40155\n50047 77360\n9216 61749\n14717 59336\n35861 90860\n14230 57017\n77742 96772\n7095 98482\n13740 31951\n23419 39017\n4209 34615\n33775 81004\n43214 51626\n18618 81778\n81867 84706\n3400 96352\n5601 69135\n51252 83073\n2955 27061\n3709 62540\n11845 94763\n60983 87224\n54301 69085\n19326 94836\n68783 74962\n41269 83436\n23506 70130\n48125 60821\n39193 55370\n3465 81765\n43961 73077\n26784 34922\n8469 81018\n713 9859\n53593 84473\n46050 68006\n2818 60530\n36690 99928\n61138 95688\n12705 38235\n4999 11731\n67067 74239\n11299 52493\n50360 83100\n29679 71611\n34032 72897\n41858 63315\n33716 73981\n43525 79855\n82542 96445\n32327 58613\n7747 84566\n22324 88410\n26721 49075\n10463 71526\n33785 58405\n2636 38966\n6470 85807\n35845 88980\n1395 62216\n1409 57243\n84903 90996\n89287 93432\n50991 52305\n22453 77349\n22131 38385\n54607 61202\n85645 99558\n62550 85616\n9043 97177\n93200 99294\n42351 84981\n65216 76609\n12804 81839\n47140 57294\n1286 28763\n2765 3454\n20308 24466\n37188 68317\n24398 47861\n35191 53429\n23279 57286\n1077 54836\n67926 96720\n28387 66291\n20175 68709\n86273 95929\n8449 25672\n63749 76462\n42772 60005\n45272 74050\n1348 72911\n15686 86065\n10578 38183\n37628 67904\n6959 52368\n55833 86907\n2167 7600\n83809 88814\n71721 88338\n3981 31116\n14976 93793\n55861 57229\n40255 56312\n90412 93998\n5287 60764\n199 88857\n8233 42852\n30050 75381\n25925 63806\n14251 80463\n41132 54367\n3180 18007\n5618 38091\n21644 33842\n9691 79159\n10617 86294\n18961 64957\n13085 75824\n47438 75154\n43685 46141\n22449 48978\n61686 62854\n97053 98260\n38258 56831\n14080 96779\n40892 63585\n24938 28055\n64802 89007\n20971 63570\n60939 85366\n37039 39295\n16170 62562\n1224 49113\n9258 34376\n16968 22046\n34199 74941\n60603 90764\n60531 99273\n24672 82433\n55929 78634\n82683 86832\n17598 61544\n29848 90643\n61960 65535\n61635 92694\n41953 54399\n21572 78426\n88245 97367\n82062 88744\n74970 87226\n13508 39465\n76611 81259\n49241 78775\n35386 58168\n98956 99983\n45295 78869\n40834 79716\n7707 95476\n24094 84887\n63229 93549\n54192 63611\n47392 51048\n31903 82582\n1480 24112\n16475 30341\n42921 44654\n32692 64240\n1971 46832\n55899 59337\n40763 59443\n5210 74533\n24017 66749\n2799 51941\n16985 53862\n11980 54507\n5176 52877\n43367 62647\n67427 93650\n17055 26053\n76547 97066\n57058 89474\n894 98261\n52814 99308\n19356 68079\n25662 64963\n54405 60739\n13712 81404\n13452 50918\n76253 99742\n46284 75847\n31767 34380\n23025 40625\n51548 52569\n53624 61433\n23664 92629\n39533 93400\n33218 76561\n5808 92059\n8129 74765\n3410 59176\n82118 83083\n75192 94300\n32453 74634\n35762 50486\n37060 45418\n59826 77576\n41659 47975\n51221 85253\n56739 71688\n24089 31016\n17249 76879\n54380 62870\n10626 67725\n66265 93971\n40306 55019\n10087 49157\n975 34723\n10906 58292\n9264 94945\n91728 96512\n25188 29694\n18271 52612\n44808 97882\n603 23256\n36069 87922\n39326 69460\n12833 33242\n64283 77629\n65475 72719\n48680 83455\n51572 88485\n3159 53606\n79824 82030\n26622 34659\n85893 93725\n60392 72790\n8647 49434\n1683 82931\n54 53515\n64628 99387\n24449 88010\n17043 31189\n10078 58296\n85229 93198\n13685 88695\n70334 93713\n35826 78665\n5962 39340\n66198 74719\n70324 74230\n5583 57758\n32908 56449\n33460 92736\n1114 36458\n34993 49290\n45980 52124\n19930 38252\n55828 71547\n18322 41407\n34985 83388\n57817 86156\n24675 24754\n72560 79563\n32669 85679\n69384 95165\n8359 8461\n52573 97547\n25665 82209\n77691 97693\n533 35053\n2600 18712\n13914 96815\n12229 12341\n52506 86350\n25420 41215\n27067 50267\n1516 78690\n12858 86755\n20658 37078\n24134 28999\n47368 99767\n53066 89758\n17240 74629\n12808 64783\n13552 89486\n21349 49256\n28268 85629\n76319 91968\n35732 36184\n15604 98531\n8553 42495\n75077 81233\n68959 77296\n42840 70988\n67710 90412\n28806 95967\n32138 55351\n61501 78605\n6542 83645\n55436 56619\n58655 64057\n8859 96273\n13827 73746\n10595 96172\n58901 83985\n17170 75156\n62145 72953\n40138 50731\n19086 80388\n9666 68004\n31992 62836\n52349 54435\n43161 80393\n18761 55676\n22159 70241\n3588 57550\n52017 95871\n4011 98936\n11875 15956\n69251 90592\n63512 90241\n61630 67007\n39818 47429\n65508 91596\n51202 51891\n3128 84010\n22461 56327\n80403 87558\n65034 69359\n17700 43735\n13616 43943\n46614 99310\n25208 68295\n57480 80432\n14113 75292\n7013 16221\n8123 95832\n55599 57556\n5037 13530\n13757 17745\n5158 17131\n48788 75686\n19580 70303\n20451 95855\n78455 85419\n21329 62602\n24739 35403\n35757 72537\n32604 52222\n56654 93822\n72366 74628\n15064 76558\n26070 43962\n14976 20318\n26960 76090\n63493 83395\n59566 77812\n21198 99331\n47034 92786\n53268 84917\n22834 65959\n52487 65157\n51507 62385\n27541 54182\n50212 55966\n8123 16132\n23580 40386\n27151 51298\n73164 75971\n9754 98026\n33037 82901\n32726 39852\n75614 98141\n26161 61471\n6662 30959\n43737 50932\n28561 74865\n15501 30155\n70025 79018\n2138 76915\n26303 53201\n35171 96307\n204 48347\n21942 74453\n77719 87791\n445 18427\n7870 76897\n24758 68905\n63068 89655\n6507 64914\n61414 81930\n43744 44709\n38230 64480\n78487 93462\n4268 80904\n56150 69288\n59324 95420\n47281 72691\n2851 95086\n85041 93106\n5857 11119\n22975 85954\n42860 94811\n64252 67852\n49762 80719\n35543 70926\n12301 56520\n20722 25630\n19544 53446\n31454 95591\n53619 88331\n78659 86832\n45560 75950\n75101 93379\n36451 44048\n41338 98224\n28607 65694\n5047 29161\n66221 98494\n20223 45659\n33723 35005\n3677 59178\n7423 56990\n24384 60869\n7700 71931\n33749 79873\n54436 62155\n3958 80035\n19167 92840\n649 18804\n52076 67375\n88012 94019\n45961 74208\n5090 84409\n4559 17715\n23053 30126\n60800 88584\n79060 90382\n60376 69572\n28616 41962\n53559 57122\n21381 65352\n35613 79266\n32016 78457\n83955 94579\n71635 88351\n28196 51491\n3336 5327\n79755 89033\n21302 48736\n17250 17530\n19419 69766\n3470 31762\n5887 38636\n11671 95610\n2694 66221\n41764 86371\n14974 44191\n4836 55000\n35445 98733\n66926 81374\n49748 74204\n8595 93632\n26997 99491\n50783 73559\n29323 52281\n23241 35174\n3671 34304\n630 88917\n52372 72601\n38240 69466\n60506 89817\n6765 84862\n5919 90445\n39393 40623\n11468 70781\n30028 92325\n7075 61719\n46474 87200\n26878 91234\n35815 75709\n45576 53389\n1594 18143\n42289 97207\n4539 18646\n49304 93604\n65416 84554\n27775 49299\n16784 23188\n25850 29645\n11844 88545\n39570 49188\n10694 15828\n82770 94293\n95546 98320\n23359 52004\n55001 69968\n16924 94725\n18023 29387\n68552 74830\n90061 99188\n19189 50887\n16276 26299\n27916 28850\n17619 89018\n34702 90955\n12913 82808\n14766 25606\n40558 78962\n37954 78197\n72385 90882\n21423 69604\n92789 94119\n29629 36444\n1541 36002\n55254 78001\n66266 76713\n44769 58368\n63049 88267\n1033 76828\n10854 28116\n898 64795\n11921 14011\n10059 21066\n56473 56784\n9094 15376\n5152 5834\n11411 51945\n19248 64402\n3250 29233\n27831 61987\n1495 99638\n8152 89670\n21438 69250\n73804 82734\n7815 41956\n67866 72895\n40578 44295\n37327 43192\n8095 48759\n9996 94980\n20794 86889\n9276 18642\n25234 52788\n11623 77846\n73421 88948\n66373 91975\n47901 73981\n74806 83887\n31015 74312\n9261 13784\n2023 16880\n44253 79950\n36814 52018\n70630 90331\n78233 84215\n14654 74147\n58683 84113\n55906 72077\n3440 22482\n7435 96066\n4092 49905\n49721 72988\n11653 41321\n41567 87383\n55225 89005\n12611 96809\n49730 99223\n56650 67195\n72895 85768\n48469 95691\n38792 66481\n5391 47371\n71023 78729\n9916 66687\n56227 87822\n90500 97201\n17946 30491\n42089 65529\n8764 34497\n32606 80229\n47099 52102\n6253 34738\n44015 51620\n24836 26595\n45099 92800\n3359 80867\n9979 80823\n11306 43292\n51369 67602\n32692 44610\n55843 60940\n15671 33096\n32321 58395\n17992 34417\n23216 43803\n62901 77021\n15582 20908\n7557 48666\n51700 69407\n29495 72627\n70101 95059\n11898 20274\n4347 32350\n78760 91427\n1436 80007\n86188 99861\n3947 80974\n60868 80399\n60269 75067\n49032 97126\n9427 69977\n3230 6568\n1317 64750\n24014 59687\n58803 86675\n46237 70520\n18937 66983\n94470 95680\n39692 59532\n13628 68005\n21239 48410\n35527 74678\n67278 92642\n54654 58987\n25694 71176\n18884 24736\n23495 42055\n25101 81748\n43803 53399\n80089 87624\n59480 73957\n22077 22905\n59701 97189\n13313 48094\n39773 69958\n50001 67984\n51353 98972\n12924 28446\n2823 88991\n38483 73323\n8943 96340\n55664 99928\n30763 58204\n1335 46859\n44728 70713\n58199 60215\n1733 10203\n5401 91886\n7832 43711\n24908 61234\n45049 45220\n12344 98424\n31918 98734\n68322 76891\n28806 80812\n79 76189\n962 53818\n36648 50641\n90097 99366\n12423 94922\n2304 67570\n11832 63292\n39300 76234\n9830 91028\n34353 44649\n26961 93365\n24718 48420\n53608 87974\n65826 82330\n62195 68295\n34509 45597\n58843 60847\n81985 89357\n21322 99706\n65375 92146\n78158 92517\n94759 98114\n1737 25323\n5599 82381\n64434 88286\n4800 17534\n41385 46690\n50763 88294\n13596 45217\n45858 82205\n35968 84516\n22826 72233\n74335 83255\n62016 79049\n28757 82186\n20589 69084\n29447 49703\n54291 74400\n78091 92439\n19771 71145\n32560 45560\n24036 72974\n67009 95073\n55573 75041\n18113 68049\n897 32965\n15249 45909\n253 61272\n54429 70730\n15874 72377\n34033 84944\n1176 8876\n42483 45517\n27094 88086\n40354 62372\n40725 90410\n4615 97313\n62222 76142\n54321 63266\n4680 66903\n25708 89222\n28568 55465\n28871 35593\n17438 88260\n13944 88101\n23785 24485\n42686 92112\n92539 95930\n81816 94798\n16675 55325\n3169 80561\n602 18411\n5758 12864\n38092 42960\n891 14241\n52070 93510\n31702 50738\n65876 80577\n45138 93352\n24700 90919\n1279 87881\n42121 66713\n3134 34798\n2872 45909\n17247 90559\n76441 98697\n7919 86947\n40035 72617\n49441 82196\n51349 88979\n14270 14460\n43311 59418\n14678 71670\n11435 54555\n55214 94112\n9902 49282\n52860 62058\n20798 93841\n7699 8500\n14108 24476\n21047 52262\n42447 93897\n70646 98582\n59776 87217\n16903 40552\n12731 13615\n38417 90414\n26048 77301\n27228 94102\n42220 78547\n931 57008\n6250 44137\n51337 60850\n41341 78629\n39359 43401\n14721 96146\n41688 88172\n3553 80621\n7370 29478\n5764 36404\n13516 89381\n46065 81523\n33439 80354\n19689 73684\n47138 82022\n48221 53421\n80429 86173\n24272 42854\n38353 63087\n40222 95285\n28380 70626\n1004 29859\n7346 96416\n29115 29974\n54851 66826\n11688 14531\n33599 38141\n17900 58686\n46382 70043\n89258 98317\n34648 84758\n13705 29657\n79196 84590\n85901 94285\n8485 12350\n12912 43841\n26413 64874\n75247 84260\n10363 92092\n17904 76073\n5155 23102\n14683 70990\n25109 72455\n11249 72613\n50259 80582\n35300 82276\n43375 93772\n62912 90019\n73960 78264\n7684 36980\n47202 64016\n32425 53389\n30796 68460\n63742 96813\n59246 61805\n59559 72728\n49877 73856\n4083 11362\n32573 59411\n41137 59846\n21088 53959\n43062 71414\n1661 3206\n32866 37527\n517 16581\n62349 75649\n66081 69030\n21500 39344\n28650 87992\n43135 64945\n12255 32686\n21846 76414\n392 9491\n41689 76816\n26181 78138\n3356 6963\n1049 90897\n47916 70943\n13101 52396\n55113 58500\n11619 95098\n801 6012\n57897 85207\n4613 61674\n18035 42378\n5803 29867\n60210 73170\n60646 64495\n44911 45425\n7304 28403\n3268 35687\n28793 97626\n34236 90864\n53033 77794\n739 24420\n4275 50148\n41841 61741\n73512 90808\n43363 69562\n84483 98337\n17484 46169\n63920 95712\n24090 85023\n41893 70959\n13069 81007\n29500 82506\n38385 87528\n27056 65321\n53664 86277\n48887 77466\n22519 51245\n11044 86631\n9430 78280\n19473 91810\n55228 82594\n1511 75196\n9355 92345\n46474 98541\n898 37678\n69487 73391\n59495 74833\n49769 66989\n26469 80574\n25699 81329\n41578 78189\n46467 51514\n40470 44209\n21808 35987\n49859 61999\n5251 7452\n94197 98272\n13391 28899\n26651 78522\n24343 64149\n32892 35311\n686 28949\n19734 68701\n17446 53778\n71284 87354\n2311 68736\n16582 37650\n21810 27049\n59594 81975\n47742 79289\n21938 86988\n81798 92647\n24032 35583\n14386 86014\n19765 30644\n23667 42140\n6206 38347\n45493 90437\n12486 28631\n2613 69983\n48294 90024\n18094 91988\n16369 91397\n26874 86894\n69194 90469\n28241 84023\n25420 60449\n73392 80566\n10312 81275\n14066 81477\n15945 19743\n37230 94995\n45779 78534\n39487 55413\n17401 56538\n27107 53136\n70671 75453\n53595 97825\n21525 28096\n43456 81587\n62793 93080\n32021 57413\n35118 86347\n35024 88922\n77965 82205\n44758 67785\n67913 68859\n28848 34630\n21905 40120\n6569 68825\n18411 82110\n61136 94121\n1134 61857\n34995 86046\n58555 76903\n45172 87502\n60021 97861\n7711 95485\n35378 61328\n20179 70025\n1834 61566\n53983 73576\n29764 59807\n37182 60347\n72312 81685\n10720 59489\n44018 81300\n43115 47712\n16213 19272\n16521 18414\n29551 95119\n37365 82161\n15494 40715\n5395 54749\n3376 98500\n50900 97828\n10766 34677\n24137 30690\n84589 91145\n52016 67261\n50180 94472\n58641 72738\n65671 67922\n26304 45379\n10373 72603\n22825 56691\n42999 51957\n83895 93737\n72271 94410\n64814 90951\n47510 89805\n8257 96486\n45850 87426\n5237 55859\n26700 48977\n27468 61611\n8719 80636\n33565 76488\n57759 80218\n25634 52401\n17803 28689\n25956 80681\n17519 74511\n4348 80260\n22632 77724\n67403 79867\n18375 83624\n62237 69568\n55071 75207\n64501 76455\n5287 82036\n13034 26270\n29172 85878\n56906 88811\n63633 96799\n87591 94336\n699 5351\n51722 71462\n8092 19262\n15309 34201\n38422 89585\n31474 81719\n5132 80632\n83384 83505\n76232 96587\n39828 70981\n13720 75032\n54202 71511\n26429 97387\n22800 87771\n10849 86859\n59027 74189\n14192 27272\n86228 89535\n11685 39158\n23078 27872\n61595 91207\n315 34442\n1449 61033\n14991 37373\n6102 84148\n31166 95952\n3573 17910\n3005 55246\n34619 87529\n43146 91975\n10646 66191\n12786 93020\n6743 82564\n40736 41110\n69514 73067\n28089 95475\n20881 64821\n13686 30007\n3402 19339\n41570 95094\n18765 85522\n35498 61867\n57634 75065\n47460 95478\n54762 73339\n85389 89432\n17568 73320\n10630 74596\n18480 80078\n28207 60872\n75314 87094\n33171 80757\n35265 37012\n43447 93912\n72064 76175\n76197 82257\n18411 63143\n28391 54650\n19322 86513\n73658 88585\n47615 55268\n31809 92387\n41249 75036\n40376 49664\n80815 97254\n14998 79957\n44474 99041\n8632 38484\n55111 77439\n46755 53466\n19043 75065\n18309 57696\n29569 67944\n4500 90097\n59937 64059\n26563 81538\n11054 50097\n84908 85879\n5025 47731\n70973 95379\n45511 70214\n14641 81576\n53730 89768\n66675 76443\n19148 20700\n32430 99850\n31874 57615\n40064 98161\n61877 73370\n49066 98857\n52665 80880\n23122 48920\n5671 93830\n79116 88636\n2528 89097\n14340 18925\n1669 34824\n53790 98684\n59255 92178\n36236 54433\n37470 60206\n82280 94630\n27994 95600\n13330 58011\n72442 79298\n24190 58230\n92760 94734\n44077 54900\n6490 54964\n40657 55195\n7393 77908\n1489 64099\n72713 92952\n71350 84113\n30890 35385\n43938 99495\n80303 89265\n35248 65383\n48067 90460\n42751 85003\n38927 78602\n16116 43931\n3190 39669\n40262 81809\n10366 30030\n12113 41243\n46382 87063\n6681 41037\n51270 51962\n38009 84122\n47623 73048\n18732 20471\n72804 77960\n3054 80493\n20495 80594\n19857 53177\n27375 54859\n23536 33528\n23680 81830\n53674 71932\n41874 52771\n15361 99458\n77177 80330\n63837 73474\n36130 56015\n36688 76747\n9959 39337\n2968 44578\n33343 69042\n25536 88419\n6800 33274\n19748 31102\n56628 86473\n935 49907\n2551 46411\n83086 83861\n25287 32618\n102 30828\n4733 62716\n11489 80308\n11283 12492\n30893 79434\n35102 72727\n31697 94171\n55882 62982\n24430 91048\n75920 91923\n641 66079\n40062 45882\n4310 55350\n23713 25113\n38278 40621\n73431 95330\n6015 11516\n23515 73317\n49204 85044\n777 91935\n68060 99811\n3602 95056\n72122 76598\n5886 83555\n49491 96219\n9467 84700\n63086 87173\n37737 89840\n7748 19004\n28673 77681\n63544 86536\n17686 53509\n13092 92017\n10458 37307\n8698 15749\n3895 81103\n20614 53426\n25641 46519\n49978 59724\n35160 58536\n67327 79172\n88815 96210\n8307 36709\n35626 54659\n19242 90591\n31790 74443\n71385 90352\n6695 61783\n26561 83299\n57234 99105\n26633 51846\n76475 81613\n42270 86629\n80272 86633\n2895 51114\n64150 90876\n21111 60785\n76452 97078\n11302 64890\n59820 99704\n18804 84936\n5082 77464\n69591 81099\n55113 98394\n26834 34645\n28509 65449\n36252 56346\n1368 60518\n20759 85238\n54424 91839\n63552 69394\n29478 91928\n65609 76644\n30548 59585\n45658 74230\n20618 88203\n46656 90885\n29761 63529\n4861 57067\n29142 60962\n76815 84269\n10987 18646\n36446 74279\n10696 21744\n74373 95959\n63270 67533\n5567 37366\n34222 43002\n13777 39622\n42206 93934\n72140 88115\n9739 17008\n25790 99437\n20722 85435\n29996 93649\n15252 93182\n1524 44615\n11012 93879\n10609 18541\n23978 95137\n51538 52333\n20140 40646\n13224 42751\n48620 82453\n6930 60842\n71222 72260\n78214 91368\n5623 46865\n9657 93953\n12978 51401\n68720 73898\n57453 70151\n74045 87444\n11815 38380\n544 55063\n74354 99115\n18054 68046\n37218 63456\n40524 50372\n17803 51142\n8239 77850\n9245 30692\n50838 86249\n23337 51462\n87996 89412\n852 54960\n55368 80041\n22468 31396\n1274 74921\n35348 47619\n18820 19168\n46565 78397\n20737 31306\n11560 81400\n45378 70875\n36785 91177\n21388 99363\n11428 79801\n24454 82739\n92374 99507\n12103 27896\n21149 62020\n20296 30842\n34967 62855\n16635 52812\n37000 79110\n80030 87855\n12326 28786\n9377 58362\n3537 20959\n48180 91812\n106 93155\n59625 67186\n47947 73947\n60638 90415\n41682 49876\n59484 80525\n15362 73499\n51402 95729\n18296 19923\n35459 87927\n3488 15255\n18678 23855\n3730 51678\n14483 35761\n29055 66026\n52028 86017\n60327 74949\n3678 74340\n5173 55429\n3890 32662\n28411 76305\n54732 73728\n78585 93127\n5949 78926\n30649 73243\n18924 54524\n28354 89472\n66599 71125\n55771 77699\n49718 67393\n39712 48466\n6910 26639\n23421 94383\n48999 75385\n2219 58782\n27394 34874\n8366 72117\n45457 75559\n6001 77974\n20392 88568\n56504 61445\n50789 73059\n7231 21363\n35931 79825\n80502 98975\n13719 60439\n7269 68598\n19926 19933\n66478 74820\n26345 95244\n55752 61504\n40657 51926\n51838 83252\n41995 81923\n68558 86938\n6504 55246\n16897 92036\n630 99120\n13380 73389\n27917 81830\n7806 39174\n54293 90891\n43567 67030\n17538 25951\n18458 21725\n67204 86171\n55671 82133\n11964 32470\n19495 32125\n25126 53178\n29508 65047\n49023 57415\n49430 90369\n26411 49298\n60056 99522\n13873 20745\n53303 65761\n2582 14581\n12310 78832\n12290 47497\n60267 78746\n24824 92222\n66621 78601\n15334 56606\n41545 97377\n27446 75100\n79437 93450\n8998 99314\n11138 59757\n37207 84368\n33092 57063\n66191 87506\n9514 73877\n37207 74146\n35051 39462\n84419 96400\n10984 92522\n60761 85481\n17896 96179\n38343 58868\n6938 57899\n25083 98771\n71386 86943\n31542 97626\n10158 82774\n68970 84870\n4008 17906\n23144 51685\n9526 93654\n34081 93873\n57921 60394\n59149 91977\n9105 31864\n44272 85908\n78186 93232\n30863 43660\n51723 71913\n39583 66759\n24157 42857\n18793 83105\n30689 79102\n34336 82703\n9692 21206\n10345 38658\n27881 92464\n40422 51781\n21540 37438\n7107 24972\n14905 88465\n65731 90732\n19205 61551\n6730 44406\n74296 91414\n13907 77315\n2927 47242\n10940 38850\n23765 40828\n51404 53081\n10785 42186\n22049 68318\n13974 22435\n60076 97137\n78323 88057\n8140 22004\n37523 41339\n74170 75834\n4925 55882\n57598 94205\n14377 22096\n57547 57548\n21361 51304\n9235 65004\n61389 78336\n8020 32171\n47500 68970\n33845 72307\n78635 93494\n4973 88289\n58250 77007\n14114 14536\n56704 60555\n28259 99396\n14787 64480\n1699 44863\n14049 35694\n34354 37943\n29432 92481\n12062 58753\n30263 90514\n47710 85011\n1992 4489\n56393 83825\n87402 91081\n31589 85999\n3214 7441\n50184 70181\n53318 93957\n60078 79053\n38468 84034\n17883 97648\n20738 49258\n12387 90098\n22450 71060\n46446 76739\n56000 76357\n2793 95520\n7332 39420\n18459 49319\n8107 45952\n34137 61926\n16847 93447\n7955 49431\n25342 95474\n76516 80218\n53957 63262\n63985 91251\n6827 35149\n51713 60634\n62487 84694\n10567 26551\n25758 41002\n7391 47907\n56410 90815\n19306 38344\n20576 70595\n21836 42562\n60061 80498\n6816 17867\n1254 84949\n2636 37888\n15616 74805\n20176 98810\n2867 20283\n25518 29656\n17191 55169\n31099 68210\n77219 80677\n81111 97612\n13232 98552\n28126 77366\n14228 40281\n28153 45764\n14404 48434\n31859 37526\n21625 43953\n40177 68073\n10892 72910\n7042 97371\n26180 95238\n61167 96990\n47188 52493\n16310 77461\n6982 9344\n3120 88255\n33013 38339\n5689 16049\n53388 85873\n21674 96458\n11315 86357\n20290 36469\n21974 81864\n3465 95359\n1989 46078\n40984 80691\n72657 82348\n13105 48505\n9406 46592\n11398 26084\n25494 39871\n51723 52808\n6905 94658\n2125 95404\n7577 68759\n80175 89754\n11207 83449\n3341 17998\n13998 56228\n10460 33712\n2043 48787\n54348 56206\n10630 73753\n59180 83300\n12102 81373\n19680 48070\n22438 63682\n2002 41658\n15018 63777\n3130 46401\n50195 82023\n34708 46820\n56136 78227\n51340 66500\n7684 60416\n28323 92132\n10208 53659\n51583 85957\n25847 61561\n61516 66124\n4362 56004\n17411 75929\n87001 98274\n41970 71358\n23871 28121\n33989 61519\n49535 74806\n31744 39969\n16733 95111\n23700 30875\n30073 61606\n7704 64967\n27670 30379\n38098 87366\n13646 90172\n31076 82789\n68614 69282\n9787 20247\n25201 83854\n70899 85152\n17792 33750\n58996 61202\n8585 54890\n4738 71142\n16178 71209\n58508 79981\n3231 23486\n36352 51428\n44362 82823\n52353 89848\n14899 37285\n34965 73192\n42176 80358\n3852 66408\n10603 91602\n57664 99774\n55972 90597\n15731 16009\n27261 90608\n7851 77987\n92987 99695\n8168 38630\n1654 43121\n67464 94505\n9266 33397\n11141 61036\n51375 97826\n55440 72882\n50940 84715\n16085 54661\n40532 43108\n9161 85093\n10431 24933\n13152 91289\n5074 20315\n16397 31313\n40629 60617\n74313 99021\n26320 40522\n9944 81705\n49245 85852\n22274 26297\n30492 43858\n34608 61393\n37362 43056\n80280 96708\n76932 79445\n80733 99429\n18166 27465\n1005 45233\n82798 88339\n33704 83591\n10418 79537\n38626 95909\n28828 97281\n39831 73125\n12195 65890\n75715 99234\n50547 96656\n55769 87076\n19916 79301\n29135 90214\n36886 98836\n56209 83673\n38566 56443\n82144 82445\n747 48603\n43369 69702\n79460 90358\n27847 46229\n68136 71200\n17471 48410\n43879 65095\n9873 92534\n6932 94084\n48052 97730\n21748 98402\n19445 74795\n23286 79421\n882 41353\n71386 92862\n7795 78626\n4104 14586\n10940 36905\n83431 98690\n61094 75089\n76342 98338\n19724 57203\n58520 72403\n39489 87980\n54325 78204\n57920 70940\n37664 79007\n40055 90140\n21940 80982\n27449 28891\n10953 97495\n30679 41716\n47997 72373\n7884 40739\n3943 15363\n10449 42778\n7050 76935\n12705 28521\n10409 44516\n52933 80820\n16416 58606\n11667 40151\n25259 79317\n17087 57750\n15983 33002\n91966 93829\n50962 67002\n4074 73182\n11154 96668\n20265 91511\n32828 91604\n1665 41953\n38555 89147\n25929 48179\n41572 58641\n21255 39928\n50946 87551\n48730 95375\n32187 49722\n35157 57307\n5994 7910\n9392 33165\n74573 90641\n53021 85734\n26332 48501\n59289 76477\n38929 47681\n77440 82714\n16789 22343\n16988 76448\n3564 33861\n14476 42104\n25075 64787\n23517 72827\n3646 5950\n90237 96502\n47364 56520\n73637 97006\n22718 78113\n41879 59826\n36749 38874\n58202 72798\n84596 86532\n20628 88976\n22588 97565\n4206 7345\n16309 84430\n34343 75550\n32016 36802\n31400 38668\n5632 66891\n9539 68050\n12546 89216\n21271 33784\n52111 76611\n15779 47072\n17309 22128\n58173 73823\n25940 52372\n43752 76088\n11847 40428\n30821 57178\n29409 79615\n6824 64650\n20613 29730\n47244 69728\n46421 78002\n50949 87094\n19509 99770\n16688 79354\n29186 55123\n78056 82093\n35626 47809\n32380 55219\n2625 67413\n9242 40479\n71785 81858\n4625 61516\n2848 45487\n28371 78557\n77499 82099\n46099 53070\n6419 86410\n6355 33692\n36894 59848\n30692 87171\n10972 20908\n6929 87888\n16122 37136\n21432 97934\n77256 78508\n11210 85393\n29547 41423\n62712 79868\n9619 32007\n20168 96433\n37001 81679\n37073 68232\n72079 77570\n82123 98389\n21607 49409\n6833 81282\n79699 87941\n3656 96946\n30251 32646\n9756 79070\n27980 74334\n12121 42941\n62458 73321\n48799 78872\n15824 57818\n975 93005\n32813 95536\n9546 22623\n48941 66812\n16481 49621\n46739 89562\n77322 92044\n27614 81341\n30596 78551\n84436 91347\n25419 69870\n80064 89904\n76091 88716\n28228 64520\n13844 84637\n75844 76667\n32900 91456\n79349 87327\n15826 92124\n18796 72839\n74614 82223\n71077 81669\n93608 99780\n45019 52690\n55271 58851\n29458 29653\n27852 65724\n28926 31638\n49009 56844\n15051 29551\n17101 47032\n13637 32792\n50827 95177\n72268 87958\n24935 72278\n63223 84681\n46172 60019\n1402 13376\n66682 68663\n27135 45313\n27070 48554\n6334 30063\n26080 41993\n42883 68053\n7348 44662\n38314 55233\n20384 56665\n11127 23352\n53374 61998\n24828 46529\n37954 55051\n21589 21667\n12131 43329\n5468 41088\n32637 73063\n14387 80695\n52118 95440\n26708 89534\n6994 71040\n44847 73517\n57461 91055\n70953 81187\n18974 93182\n41722 77148\n18368 63409\n46148 60301\n13649 86515\n59162 76154\n46854 51289\n24200 91519\n34067 83214\n15956 45564\n68948 93208\n75592 79971\n62933 64367\n25244 62038\n62363 99609\n13653 69289\n7392 68545\n33025 43291\n43142 65154\n18206 40564\n43095 75035\n14920 50807\n42062 78777\n8772 27414\n25643 40661\n156 63971\n6386 60539\n33505 58749\n45697 94988\n9511 18881\n10639 67219\n2486 52488\n46337 90814\n4717 62890\n41986 54402\n21698 32097\n36344 43858\n20982 30457\n49276 52616\n60742 79129\n8804 64016\n6445 79419\n37206 96973\n55437 94877\n44352 63832\n39707 66906\n23569 50347\n4472 61870\n79237 80688\n45460 90519\n24510 48145\n4751 77376\n19428 29629\n37357 43775\n51397 80589\n33297 88544\n42504 44268\n72224 98884\n24935 55450\n10356 90896\n33866 53072\n20911 46519\n40716 85953\n83222 99386\n48091 95639\n65822 68775\n21070 85082\n41488 43777\n3010 39133\n56127 73428\n29852 36785\n81115 94802\n20923 36661\n46922 89471\n74776 80107\n35568 77629\n97330 99426\n2449 55572\n738 29702\n3523 72856\n32113 47321\n77814 79385\n9316 87631\n38166 99712\n14990 97834\n29108 34064\n55390 84787\n16322 62559\n40750 46699\n8723 68475\n23971 95745\n6982 18168\n13680 34567\n209 74197\n70636 79649\n84664 95803\n3580 89598\n12386 62412\n82046 82531\n27961 49247\n17629 62019\n51594 64998\n32055 95494\n45847 62491\n1266 97129\n4966 97954\n19157 67778\n29666 79094\n40953 71353\n17089 25855\n10971 71017\n72029 96157\n84318 93911\n25160 75544\n9728 36273\n29962 53641\n48782 79990\n57391 98761\n12451 70376\n14087 87291\n93922 99341\n74510 77137\n33448 45660\n54576 75570\n6967 32089\n14480 54326\n30213 81130\n50438 66259\n35361 50666\n20162 54769\n4466 41049\n2933 58603\n39805 69556\n10683 61773\n75654 89598\n41043 68666\n20834 66878\n10251 62929\n20360 56669\n28261 51997\n27392 76211\n70991 77485\n65335 94820\n68679 85078\n53197 56200\n33982 64643\n38407 88672\n7794 78016\n52458 88937\n4672 23615\n78967 94501\n17261 65319\n13906 30137\n6035 43606\n4066 36984\n37244 66378\n13207 41451\n20912 91997\n28960 56122\n17931 48096\n8727 81202\n40874 65253\n19412 42306\n43125 99358\n13515 72167\n62788 84508\n19165 32839\n73636 93937\n67776 97237\n45935 67945\n77505 99496\n11903 33170\n13549 47818\n34602 71888\n3115 3960\n3909 91974\n37563 61523\n76878 85787\n17464 44288\n6353 59497\n15401 49303\n79373 97331\n28383 83988\n48253 81260\n26763 33722\n30820 74107\n62573 83100\n63166 97172\n16543 96873\n8425 91153\n47026 87916\n29480 98888\n35784 84327\n56168 59498\n41118 43279\n75720 78507\n37501 74224\n4221 43009\n2507 11462\n3823 88897\n5088 49287\n43914 71495\n53991 96596\n74564 80096\n56545 70433\n27904 37063\n47729 68437\n20611 79806\n54067 96018\n34715 79710\n84598 95961\n5552 11402\n2856 58383\n71144 79050\n1679 91945\n73033 87245\n5585 94679\n8196 59489\n40250 84661\n44043 81190\n34001 81714\n9610 63074\n26121 45344\n28913 82694\n54333 54545\n60682 97958\n52476 62144\n37694 86677\n3227 73450\n63346 81175\n40317 62312\n51628 58917\n6058 44475\n9450 89381\n51006 83652\n67838 74628\n17610 36200\n3918 80603\n41773 88396\n35508 41469\n19914 53208\n35752 42306\n7705 58225\n56874 96551\n44398 62066\n67785 77940\n15929 81707\n24090 85976\n31119 72667\n89875 96956\n35513 63549\n57258 99063\n35245 66735\n72365 98427\n10315 65752\n38134 39106\n51579 94516\n16915 26785\n19689 65213\n14068 70303\n1214 11219\n81019 96315\n89866 95754\n8708 48602\n28727 38857\n16577 98573\n44076 62910\n82443 95688\n41855 59992\n45011 68002\n66698 71814\n2807 5515\n73647 82899\n14073 44453\n43262 70445\n1521 82415\n88438 91658\n60436 84490\n2829 42109\n50836 83268\n12552 18322\n22482 48820\n12759 73937\n14472 72076\n386 69050\n2739 91128\n35116 37974\n4134 26351\n3796 43861\n34872 69169\n6168 18345\n15046 30681\n40931 70861\n57103 58213\n56414 79478\n17362 26158\n38336 45961\n7455 43976\n40986 42122\n20864 27021\n52272 98807\n38755 88623\n39154 47846\n63533 87709\n68735 90260\n26234 40090\n60228 99373\n11044 20554\n35643 77062\n26741 95810\n17636 57488\n4274 19940\n64391 80529\n21973 78099\n54923 99438\n1881 70324\n66282 68817\n7502 73658\n55184 80195\n5754 25730\n73047 89086\n43418 62106\n31319 36365\n28592 63454\n39361 69818\n17098 58523\n69492 78133\n857 99428\n23864 49146\n60604 65513\n70673 95017\n8244 27401\n8161 93130\n16763 82481\n37935 52784\n24645 24794\n13668 76213\n15422 89599\n57012 78933\n77560 90523\n47360 71698\n75566 85396\n30621 49588\n51873 62363\n13915 46692\n9528 54843\n10231 53974\n56374 91092\n48979 80785\n8254 78516\n14398 63299\n34857 99135\n48960 77694\n48147 71130\n38350 98909\n28663 96305\n70454 93224\n4688 75969\n51388 98280\n2273 66522\n2290 44310\n2197 20645\n92283 93411\n12143 79809\n1223 81824\n55289 95472\n29941 69118\n14738 69413\n3839 36031\n9495 43550\n12369 44286\n59810 99427\n52028 68025\n30630 41425\n24897 98375\n26507 74476\n1223 81137\n36177 95711\n27637 91363\n4963 98070\n11499 81678\n45219 60929\n30266 41609\n15311 74509\n42408 53492\n48564 86117\n14847 33010\n46206 81251\n32443 91254\n61232 73813\n6798 21254\n72115 83171\n38448 73601\n63025 74854\n25711 28125\n19483 37409\n42886 43200\n63353 99099\n51117 94233\n56055 61913\n35047 68390\n10141 21760\n41460 50367\n84099 93817\n43756 58628\n39587 47339\n21409 92141\n77174 90267\n43133 67380\n1398 21499\n50018 75483\n2955 28359\n59272 77537\n2328 64608\n38277 68821\n27883 76866\n15789 70174\n1983 11342\n38 46383\n26526 77843\n25547 89912\n81828 96074\n24141 30317\n26255 47680\n19144 43610\n7650 79496\n36780 96804\n11440 12334\n69862 82247\n51950 69715\n127 5149\n19666 75074\n46820 74858\n70667 74530\n5118 89053\n10758 25729\n14830 64676\n10454 94216\n34431 46573\n5385 55531\n38010 50531\n64380 78925\n64627 89959\n6969 62745\n43114 97979\n39955 54086\n26957 38582\n17718 54291\n3078 95620\n75243 80180\n1109 70244\n13134 91456\n35590 64848\n52122 97668\n54474 94089\n33184 87416\n12704 96169\n6725 86375\n16344 87252\n62802 66345\n7868 43329\n27163 96721\n14800 37691\n15083 43879\n5037 20787\n62546 90062\n4032 64124\n16549 86842\n10003 36085\n41314 69796\n59773 72880\n3777 70714\n19356 62052\n29350 63131\n34729 65855\n51830 90682\n18676 48566\n90707 98366\n88738 99973\n48509 65491\n56343 63644\n26624 83182\n42728 50825\n40462 43789\n41293 78579\n1561 24791\n41856 96494\n10195 63629\n22422 85900\n9086 45643\n79925 94277\n15757 78061\n53121 68912\n82427 86713\n5597 54385\n28812 85788\n1027 28892\n85649 98268\n34091 51049\n14648 36556\n41852 93463\n11888 80342\n76430 84684\n7801 68483\n6960 9621\n74082 83480\n9512 44302\n17262 17774\n19412 78746\n69566 96234\n64151 69726\n19674 78831\n15985 50476\n9204 39868\n34278 59637\n22830 29443\n29029 91936\n50832 53272\n7533 18883\n11346 56675\n44269 57165\n20740 33201\n20259 64840\n82626 83743\n47303 91746\n20722 80091\n43260 43782\n37989 54814\n31555 37658\n16097 78156\n10081 43019\n36651 76548\n30863 84345\n48124 81444\n87962 89278\n21358 45196\n18650 23131\n28324 82007\n79160 81795\n53024 68800\n27009 63246\n40984 75325\n2438 50297\n8515 64622\n39179 88617\n50622 70896\n78313 80472\n22823 61200\n45937 54047\n10614 32946\n9176 47561\n83138 87391\n76740 87090\n44472 75931\n50691 73773\n907 37281\n7064 44346\n39366 92113\n51465 84634\n1820 22571\n26917 82751\n55069 67730\n63565 74865\n6905 53989\n8767 59923\n27877 82549\n5036 17036\n66025 92879\n9242 58846\n12271 52581\n37122 68060\n11379 85098\n92351 97461\n56144 78309\n71394 73692\n9198 65438\n41524 96667\n26278 32917\n5402 43432\n50063 89988\n38552 72533\n15766 70284\n23770 77140\n36502 46319\n3465 50564\n69490 87770\n12472 85238\n42867 91392\n26514 84937\n823 2182\n84224 98659\n16268 52279\n9511 29066\n11414 27021\n19653 26475\n74919 97651\n78599 84570\n14407 90667\n8463 35472\n18736 79241\n57051 57246\n42106 54668\n62719 92031\n6756 49781\n38074 57910\n18580 30298\n34309 80527\n12489 60089\n68392 75257\n44145 48014\n36276 42103\n20894 33196\n25475 25581\n56830 85841\n3519 98955\n28631 33578\n21302 31683\n33115 81079\n48570 95555\n611 22550\n11038 95523\n28485 77370\n48362 74502\n378 15350\n18735 33548\n26632 33952\n16403 86693\n43662 99920\n24101 51731\n58636 97285\n5315 49220\n90009 98211\n15360 21021\n19557 56721\n37865 60315\n66000 69853\n75701 80217\n19347 75287\n86508 90045\n44307 95084\n27498 66079\n35248 67429\n23292 62975\n33100 81644\n43958 98499\n89764 98449\n83969 91977\n13989 35900\n22034 86652\n36004 70804\n1286 14571\n7855 89908\n63731 77274\n35306 68852\n21531 69291\n35127 97654\n53010 81494\n44722 80663\n18360 74973\n81189 84029\n66651 85620\n10024 87801\n49127 63769\n16219 82963\n3014 35288\n39202 60710\n75043 76618\n81529 87107\n72160 93021\n10526 66606\n26537 41505\n21757 23931\n62527 82759\n31974 39685\n50349 51441\n20073 53745\n12480 79054\n51306 60598\n45530 67381\n26771 84380\n32977 69883\n58981 84548\n37283 94633\n48032 92936\n55676 65840\n10484 82796\n52499 70996\n15242 52434\n35734 74613\n35964 40486\n11542 33030\n83243 89708\n20623 46227\n34308 86860\n31523 69140\n24829 93943\n16194 54352\n44984 78154\n17915 24134\n13909 69192\n18220 21381\n22492 35551\n65201 94247\n27180 38735\n24551 68197\n32894 95741\n4634 48791\n56771 58649\n31125 40785\n21748 34131\n3288 21815\n7734 19757\n21270 86245\n18560 48358\n31572 44676\n45754 50790\n6959 45045\n1234 94502\n29800 63373\n59845 85161\n6227 22840\n3309 40503\n33115 94377\n11405 22164\n11769 87738\n58677 81555\n12578 48160\n14698 32430\n21003 70020\n4367 70165\n142 25560\n83491 98801\n71099 92018\n20553 47102\n72562 77918\n30522 88739\n71480 83585\n25666 74786\n61814 93436\n17222 64754\n52921 83851\n39417 83022\n55512 68913\n20464 80028\n36688 51738\n8038 25566\n51397 72954\n56002 60091\n15256 42572\n15945 75573\n39281 92756\n62336 96592\n22271 60642\n4714 5358\n10009 37261\n7134 30258\n8731 9365\n22267 95340\n18464 88872\n14542 57291\n28219 87150\n31050 54022\n55097 79098\n3503 3913\n33303 76187\n45825 98745\n6344 33576\n43889 50339\n18892 24436\n3267 13817\n15603 23275\n63962 81700\n54832 82999\n14238 21900\n15183 45790\n22154 42470\n38410 61316\n67165 93788\n47429 70766\n66413 92073\n36491 85429\n68240 74031\n41568 90789\n56751 96206\n24420 99639\n21690 77152\n19572 22777\n59519 75813\n10025 31050\n23478 68214\n60701 61657\n38448 46314\n68246 77769\n5031 14484\n20147 30299\n20856 27122\n18847 72337\n53492 86655\n26028 90252\n16425 71011\n39679 49403\n9811 82468\n1846 91641\n18089 94673\n32587 79976\n49651 54654\n15965 16648\n50733 95544\n50148 93952\n49119 92015\n34966 61498\n29997 49702\n69536 82536\n65185 91942\n21780 97077\n44281 53253\n13779 16801\n43840 46560\n64175 65274\n13673 90666\n64878 88369\n31916 33338\n16813 43325\n7535 38872\n58192 69100\n6538 22356\n309 74084\n39601 49860\n5588 96891\n34535 54994\n9136 32758\n20970 95891\n55859 61677\n16342 30410\n23242 71821\n56920 99744\n27103 33739\n679 54002\n52080 61402\n487 70454\n33303 70311\n26774 58069\n54411 60432\n89455 89813\n51008 77260\n62275 79481\n63679 64002\n40514 92256\n31114 76101\n46230 58568\n63325 64714\n9564 69164\n4247 70566\n17148 88849\n2709 44894\n38186 50496\n74203 85331\n10064 46544\n64886 65199\n61762 65529\n19000 73196\n17881 25368\n38396 78049\n35818 77155\n25368 87420\n63756 86832\n57917 63175\n510 76485\n71818 88808\n10128 56212\n76 6665\n13482 17043\n27500 40888\n6274 65229\n70726 80529\n12716 48478\n53609 87608\n7874 89879\n28502 68136\n65493 87043\n4536 41334\n50767 71327\n39896 52310\n3075 87277\n34664 38522\n75123 99854\n59296 90913\n37131 66581\n56080 82827\n2429 7134\n3303 37502\n11312 87732\n21453 62601\n27839 91902\n26364 29451\n60295 76760\n43158 56309\n25260 62444\n13643 74140\n5297 49165\n32718 63289\n11231 65537\n86095 98218\n2880 78806\n93241 96125\n93163 94819\n34180 38851\n24078 96769\n43682 73658\n1728 57321\n14895 59443\n11111 31017\n10603 68981\n33168 40502\n44963 99162\n60959 76387\n49136 86464\n37467 85497\n46585 97565\n14173 21359\n90481 97842\n21943 84061\n13962 97399\n31188 38775\n484 22256\n8005 84112\n16704 68870\n19126 48948\n138 56270\n64906 88687\n10944 24411\n34220 55874\n5847 46360\n4031 53304\n15109 27272\n14531 56982\n83577 97693\n2077 70936\n73731 87336\n29816 87136\n97984 98245\n39688 53883\n12034 35130\n13589 29551\n29283 64272\n23293 92774\n43828 78704\n84616 98696\n13727 68999\n531 19871\n1627 43718\n33216 73077\n2838 41467\n5126 16042\n19305 95959\n69387 70433\n6003 18188\n31627 72863\n48002 94578\n11840 80717\n18940 32365\n68643 93609\n3827 88731\n56514 95243\n23746 80856\n4877 58934\n62731 76929\n75360 83907\n14220 54589\n47345 82448\n24256 70210\n66366 90774\n51422 79071\n29930 99736\n37730 54331\n61407 93952\n15492 86147\n28732 58453\n33242 83291\n48972 60394\n79220 81297\n13510 35148\n48369 81692\n35872 75162\n62875 71431\n15289 38569\n27645 90612\n1916 58771\n24960 40578\n38036 93725\n29325 29724\n31570 59413\n7896 16878\n14233 89460\n40702 91876\n61588 99935\n73317 75106\n500 5106\n9216 93219\n35545 85370\n46351 84283\n54361 55101\n14338 85108\n40630 89626\n74893 94155\n47182 76111\n24407 99183\n18777 74823\n12828 80544\n22608 29577\n2978 80931\n62795 63767\n8695 67214\n50470 98423\n8946 17748\n14186 23502\n51138 94743\n57841 83693\n32634 37691\n68986 80446\n72732 83055\n2822 23782\n1473 61507\n46764 94588\n69907 83681\n23665 58835\n49458 88477\n20734 88831\n25854 74292\n684 97892\n20943 68730\n62165 94894\n14721 91742\n11257 71727\n84855 97461\n1854 53922\n5962 67929\n54096 74481\n22541 90268\n78521 90235\n5846 8408\n55287 87400\n43548 50629\n781 59900\n37147 66973\n41410 76075\n712 88858\n19033 53283\n261 18484\n65686 85374\n18865 21521\n24659 31611\n28855 52461\n2325 37800\n62124 93665\n7957 74624\n37963 90999\n4586 25114\n26705 79745\n86074 91488\n58318 99449\n15943 88010\n43650 51696\n72466 76959\n62656 87442\n1160 92628\n88178 90172\n3049 85448\n68294 97867\n6866 37692\n71350 99557\n65410 99132\n18057 44180\n86523 93551\n19608 66883\n2326 41152\n70839 73857\n7984 18148\n22927 85163\n26259 31162\n59363 78003\n23887 68102\n378 93595\n69122 87090\n23629 86825\n8870 29144\n21361 22023\n86849 91615\n19790 28724\n31714 38482\n3922 61547\n12312 35275\n190 88490\n7377 85975\n46240 96513\n19098 93246\n25124 38747\n77537 92086\n34084 85431\n46095 53422\n34261 95047\n87187 97985\n81960 95546\n54514 66636\n50180 65428\n34071 99162\n32057 59652\n43523 47138\n71991 98243\n486 74887\n18473 29133\n17552 37356\n80607 90547\n6827 83560\n75868 79223\n86787 96591\n10146 82910\n52082 65475\n22308 24251\n49423 95101\n47545 80403\n53633 65500\n80741 85952\n14111 20554\n64258 88736\n42752 70704\n5199 22169\n38131 97216\n43913 65620\n63533 84328\n11763 23655\n2 26279\n20012 98762\n4386 28186\n29098 67030\n48358 59549\n69247 91190\n7346 61400\n28488 63463\n20601 69308\n63183 68722\n33393 89487\n616 41643\n27383 43624\n32158 69834\n18859 98439\n12600 70888\n93205 98186\n25538 38736\n46384 46820\n23743 35652\n1011 17013\n12091 69008\n21208 62832\n11646 51387\n46845 75226\n25493 94250\n78067 83188\n19295 93884\n36437 87071\n29991 85310\n166 30303\n32014 85959\n26288 77959\n37675 80346\n5887 61568\n1251 33646\n21250 54910\n47827 76508\n25703 37893\n43337 84367\n12166 74074\n32102 76961\n20970 32870\n18299 53143\n40934 72110\n15692 30587\n23705 38551\n1412 93156\n53788 55656\n58740 81028\n8269 82506\n3798 76273\n63915 66033\n47096 48957\n66129 73846\n3000 4849\n52343 57922\n3527 25534\n36338 54971\n55472 81569\n78248 98986\n67088 82792\n22459 98257\n14143 88917\n27029 95982\n32140 39154\n48316 95773\n59693 81656\n41163 56584\n7368 98192\n88167 95026\n93953 99877\n32995 61946\n4612 22373\n32107 79688\n876 42028\n52791 97283\n20700 63736\n51161 64842\n39619 93408\n17396 85246\n9765 99453\n67121 74483\n71547 93151\n13345 39647\n61803 93549\n867 80491\n64913 92935\n72562 99818\n26305 77806\n51500 61735\n7005 89452\n52204 97789\n731 10682\n8055 89179\n46412 62786\n37796 66550\n42677 96486\n60786 96447\n69372 84466\n10956 55754\n18640 50947\n24343 58845\n553 79338\n43873 85584\n30093 93947\n48393 98407\n40299 60938\n51559 90113\n19780 30472\n18137 47176\n9542 18997\n28902 70131\n71278 86764\n58161 72979\n7390 59123\n24471 32992\n10455 43297\n49754 51086\n55270 94687\n9326 82021\n9618 73471\n26717 57542\n48143 73413\n20807 28206\n24908 45200\n24865 26290\n23298 59787\n4864 8476\n26453 75271\n39428 95285\n15733 44146\n11704 41842\n9976 41023\n60044 74058\n51914 90076\n36827 71876\n63896 72513\n66494 90690\n22678 66375\n9798 62114\n94359 98432\n74413 77134\n12986 78031\n22229 60866\n41479 47601\n14339 32188\n27753 99321\n62756 71875\n29485 83371\n56925 63561\n39009 98712\n31561 95829\n14212 20746\n27420 37272\n72409 94000\n10483 38376\n25701 76744\n5173 46309\n85055 86550\n74354 78438\n25707 78614\n21932 49678\n16763 18276\n9768 29786\n31147 69966\n62700 67252\n21622 54430\n35999 95335\n65977 66110\n13948 20539\n55165 84905\n27558 58788\n77099 95291\n32727 75807\n22618 96798\n55398 73976\n65096 68788\n24143 39067\n12149 77016\n5054 52391\n16319 26651\n36706 45983\n2091 29213\n69714 73772\n17501 94952\n70937 90300\n50223 55375\n43781 72056\n74526 98805\n10037 85959\n63171 92966\n4016 63583\n9472 61436\n71385 74277\n7955 49038\n9694 13428\n28136 84991\n9981 76412\n50391 74213\n59701 67959\n60005 80390\n70610 71715\n83542 99781\n10624 44208\n60605 88732\n38842 94103\n45984 48536\n25004 81581\n62806 76178\n29557 58451\n11025 85689\n7142 71690\n11106 42394\n3322 78074\n42017 61249\n42361 42654\n29022 98669\n39764 63762\n11718 40702\n14371 35865\n4926 98792\n11728 41859\n3274 85810\n11216 36917\n89156 94887\n18332 39077\n44252 54560\n29227 86001\n6002 89791\n15469 47789\n14459 81335\n54676 78379\n22572 47973\n43577 76536\n25708 92060\n33241 63033\n19321 81576\n4345 49251\n21259 95241\n31124 31719\n45206 98465\n51686 90195\n2543 6728\n2441 17294\n34492 61805\n59916 94274\n41558 84248\n1947 8268\n58071 67688\n5647 18178\n60432 97420\n40010 63648\n10750 39196\n8396 10700\n5238 71981\n9252 48831\n77134 88477\n12878 15112\n18431 46278\n24744 98883\n14104 82150\n76186 99217\n57766 63741\n6751 71113\n65573 93112\n32587 72516\n1704 4609\n23464 29108\n42704 57122\n48287 91713\n29151 51292\n37317 85978\n16669 80689\n20769 36104\n15128 40768\n30469 35607\n32902 51086\n33015 78875\n21496 81138\n32753 55382\n44972 97045\n30923 71566\n700 86790\n48704 78145\n59127 70545\n75675 81694\n44932 61520\n64752 70919\n48551 97969\n56574 93646\n4604 66568\n5700 96439\n20427 33066\n9898 94075\n9671 91215\n31166 31542\n5852 53879\n467 26261\n2469 96739\n6631 14272\n3632 32248\n64526 64694\n37283 65245\n60226 69964\n25106 96040\n475 38342\n28422 75297\n29900 55656\n7270 93192\n21242 83121\n9635 55264\n11433 32770\n1595 85407\n55685 69754\n80196 95558\n14587 14661\n2302 93440\n16342 60625\n7158 53952\n11351 22144\n24509 71549\n21758 77428\n51304 72196\n56144 78218\n25002 97226\n23362 93367\n43328 90969\n43537 72316\n10380 97719\n57194 69632\n6462 85589\n13809 94314\n25610 84356\n1163 73498\n5853 74625\n41155 55129\n73668 88755\n39714 60958\n1547 55146\n9160 49559\n10194 27389\n34291 34732\n14422 94105\n82630 94548\n49532 81300\n9138 52601\n12271 86960\n68165 72210\n48477 92777\n236 20317\n47152 53647\n56052 56120\n51263 64848\n13500 60577\n62600 64885\n2352 41320\n72306 79881\n15770 38293\n32236 91877\n17265 25232\n66313 69583\n976 76717\n15368 16640\n61468 78293\n18503 81253\n9079 16020\n5856 83147\n22452 49618\n56299 65098\n39218 97574\n32109 37894\n68350 81428\n34870 39491\n16910 52155\n47751 76576\n24524 35463\n10452 37270\n69718 97426\n30890 93308\n3506 90348\n100 83671\n25755 87307\n11515 67041\n21002 65283\n87854 95293\n2866 91323\n81424 82630\n9791 97969\n13823 14825\n1500 31784\n20820 88754\n34029 61131\n9132 29160\n20472 52457\n4432 64132\n82741 87018\n76274 79659\n956 19005\n3273 45236\n1015 20476\n85634 98153\n34362 59840\n23213 57831\n12841 66968\n16674 45346\n4021 5932\n20347 41497\n48838 76372\n21990 96635\n86998 93523\n6920 74348\n25323 44512\n19113 95259\n62235 84373\n7309 34639\n33570 43054\n56605 79789\n2479 8879\n24924 40623\n2240 17781\n8250 24452\n18082 76979\n12109 87677\n30773 93918\n32972 51419\n7858 41056\n76848 82224\n63222 73539\n97994 99480\n20251 42907\n13564 93186\n56705 80334\n5836 32380\n32791 67177\n52652 86329\n4757 92218\n16302 99578\n1951 43977\n6163 44097\n39438 63308\n8955 56511\n779 48857\n13778 21615\n11467 40907\n17334 70352\n75317 96022\n3142 18312\n3113 83577\n41857 54686\n11306 77250\n36935 73034\n24283 52009\n54258 89781\n31847 53510\n20269 47799\n48024 50020\n4984 41470\n15653 56991\n55808 74846\n43153 67407\n39448 92323\n19956 25301\n37747 99160\n37616 98120\n90130 95833\n40847 62288\n37503 53150\n26942 82260\n45962 96925\n63035 85994\n45004 81453\n25996 30984\n15350 22902\n34201 86683\n30356 67701\n84844 99694\n40980 42785\n38735 69529\n40975 91988\n46443 72939\n10887 21664\n15959 22348\n75641 79138\n22893 44777\n59784 61384\n13689 25267\n57928 92086\n40321 95403\n71943 80214\n8958 73945\n16606 32355\n61164 76262\n25351 56103\n27622 45270\n62133 85859\n38150 55468\n47369 99914\n26544 55766\n1144 72623\n19331 87176\n7522 62905\n14085 42796\n34660 95836\n10290 85150\n53195 95175\n8250 29381\n27802 32188\n3299 55455\n41412 49019\n17630 92258\n29628 65035\n1035 64974\n39365 82275\n36151 47706\n21860 80085\n11591 82699\n46606 69631\n42252 67478\n6810 34427\n50835 84903\n29224 47908\n32687 44080\n23651 73376\n22834 91772\n18883 94192\n54967 66450\n62193 93513\n43340 46784\n71875 86023\n73269 84457\n22459 99201\n40334 82573\n76533 93993\n24622 68052\n9276 78102\n70842 91195\n60792 61073\n50919 58191\n48913 54722\n7253 49427\n8542 30549\n67726 88873\n30271 94228\n37870 46049\n29957 56232\n37518 55898\n5638 12107\n31796 74723\n11145 15277\n56735 98831\n43473 45371\n34220 90088\n31749 55181\n19878 74750\n9947 25373\n14298 48127\n65576 76785\n32179 71818\n45167 94131\n77878 96254\n28071 94341\n66246 97436\n13037 70473\n67198 72036\n46852 92162\n11527 32840\n20583 99011\n48425 56119\n69532 97687\n22682 32740\n65114 75723\n62088 86550\n48982 56166\n34780 78165\n27290 48240\n31464 52144\n38293 96021\n7186 81231\n8942 14990\n38330 62196\n49084 81071\n25717 76904\n6421 59450\n19660 71203\n35290 35437\n19111 76709\n62683 98363\n4871 23070\n68978 72453\n23608 88258\n10794 43387\n631 57064\n30301 75505\n85675 98394\n42719 98017\n45221 64778\n62109 89760\n347 34566\n74552 77812\n2024 68944\n70339 85072\n21403 55668\n43598 63342\n19840 98856\n26247 71629\n31986 82455\n23785 87246\n26004 55735\n12683 79123\n69294 99972\n18816 61421\n31489 52097\n45936 61917\n17959 50387\n34351 98379\n44132 92619\n23495 28470\n20385 58068\n42393 67086\n1067 72179\n4557 81530\n42775 56578\n64728 78444\n31917 64385\n49313 60294\n43926 53885\n21683 53223\n13632 74348\n10511 31764\n8501 80053\n59167 82843\n16531 84793\n60626 72901\n37903 47027\n10036 42276\n12783 69043\n33669 57179\n35722 84579\n20985 43025\n39298 51065\n44216 82537\n52823 78073\n53252 98148\n59212 73228\n46721 78595\n15538 42481\n12398 33217\n59230 94668\n9406 63072\n23644 45797\n7602 70771\n2329 10961\n37397 78603\n66852 69655\n12512 34318\n43776 51291\n11071 96022\n7691 98682\n30482 53886\n27254 97292\n25827 63458\n48138 50772\n79658 97300\n57934 85198\n54992 79200\n17016 41961\n60351 71947\n39134 73618\n7750 57514\n63223 65841\n55815 81332\n17552 84352\n9890 86702\n63150 98589\n72812 81119\n28280 98447\n51061 77540\n23678 38492\n21609 48765\n33574 66575\n10428 15689\n5554 62213\n3239 57106\n51382 55963\n17945 44841\n28421 89565\n2063 38599\n25756 38133\n17705 68674\n6937 13908\n22575 32501\n15034 78424\n68736 83850\n26168 69572\n51156 52251\n22808 88900\n30973 97552\n24639 89377\n66112 90950\n23382 75999\n90919 93756\n58870 76354\n19758 44829\n38398 55073\n38922 93075\n18411 73241\n27426 67299\n4367 28464\n20151 79564\n20998 35348\n35072 85933\n44976 61928\n10275 51678\n8512 21581\n42281 61036\n63278 78125\n42852 64310\n24231 70102\n2154 6341\n1923 85213\n26389 76665\n30846 74986\n8786 65175\n24810 58911\n23223 58004\n14206 95191\n49566 92935\n21502 81373\n23326 94827\n65442 67377\n28724 69089\n62000 67914\n8714 92236\n56742 70943\n68435 80344\n52435 59749\n8095 53131\n78389 87027\n21219 41731\n49756 73376\n68440 91899\n23364 51443\n35721 39525\n17130 23496\n29724 31676\n5819 12843\n59527 95863\n52031 83899\n15885 73381\n87216 89146\n37655 59736\n15081 52754\n2743 44694\n84104 91897\n30875 48227\n16695 38383\n4635 63966\n18093 55308\n44728 61707\n36019 64991\n4540 45285\n18002 58807\n62075 84560\n56211 67906\n6205 70240\n30731 98815\n1934 96247\n42438 65912\n56613 90481\n7488 54311\n27363 45810\n34455 68278\n5280 32333\n53889 85027\n57441 61275\n62527 87340\n66059 74802\n79938 96292\n4533 97114\n89791 93732\n12158 88284\n49141 79385\n70066 89467\n60695 71697\n4005 45716\n21544 68804\n16407 96014\n29532 42798\n28868 51267\n15587 20317\n5263 78110\n3321 37543\n69633 87470\n43143 99743\n32873 43167\n13614 61101\n37801 54347\n2990 76125\n20547 42830\n10204 73079\n60736 99646\n56521 66047\n41824 91316\n77683 95587\n36075 48045\n55007 95676\n16658 46433\n34691 84839\n33865 64899\n7173 58796\n23674 72312\n8893 13814\n35752 95256\n3757 29807\n49039 92571\n19436 35322\n74900 83087\n36173 93325\n45513 48637\n48072 66196\n32539 85008\n17555 96164\n3825 87606\n26354 91375\n94164 96032\n1678 67132\n53096 89825\n3977 57517\n33752 86482\n63085 93400\n59833 65103\n9483 80693\n52676 96809\n39189 48863\n39018 85484\n21128 92625\n11585 65233\n70755 74097\n67824 79717\n40652 68959\n46602 76576\n48113 60029\n67634 80204\n15513 44389\n51022 93915\n49334 54664\n60585 66138\n68580 98079\n10762 73272\n51202 60499\n28101 68310\n16028 24099\n26971 89797\n4754 84769\n5862 66336\n13837 96874\n24089 82986\n30603 31482\n22017 37688\n20937 79975\n27823 72789\n21441 98619\n17469 83254\n5583 58458\n60189 70411\n13754 43721\n15171 95745\n22141 66274\n50900 64334\n48649 87546\n34477 74428\n11401 90217\n2075 48914\n81439 96146\n7964 66154\n19028 75227\n15891 29805\n32708 68116\n70046 86441\n12971 17057\n41758 68291\n64795 84668\n53592 56124\n37275 68146\n4817 90927\n19087 98271\n15492 36803\n70400 76320\n55825 69054\n26341 46163\n3959 90261\n47637 84972\n373 89494\n32631 80957\n8586 90407\n50746 74525\n67177 89783\n55571 68104\n56375 81531\n8819 61890\n35235 53490\n14922 70765\n1350 53716\n51291 58341\n15122 25859\n33856 80428\n63842 87557\n32539 60011\n58573 65236\n6691 94401\n23777 56566\n12061 13467\n15159 81179\n68084 99023\n80377 81719\n78387 91362\n78386 78481\n61911 77441\n34925 52734\n65130 84381\n66590 72291\n6641 60976\n4005 17695\n2419 61965\n8744 21642\n17809 23980\n41212 94281\n2659 45324\n30763 83599\n33533 35051\n16673 28641\n33038 96045\n24039 53848\n59732 67115\n1674 48460\n25866 31568\n6055 75849\n34567 67576\n37217 63251\n15299 95847\n93544 94091\n48792 62798\n10127 62537\n37053 60067\n38920 73928\n11937 33602\n14315 60492\n41916 97037\n22268 38241\n62617 71539\n53 79865\n23685 89340\n19241 77514\n27454 68590\n64485 68589\n21628 72016\n85298 98773\n16744 67206\n37407 50287\n21244 22285\n49321 58753\n73308 82247\n27264 88644\n46101 70313\n8209 58098\n50463 66059\n23722 47238\n10544 87179\n24265 97013\n11424 42516\n23253 65666\n43879 54068\n32451 77662\n39977 78786\n42086 94010\n54583 66608\n28564 60055\n44503 60195\n48508 65598\n32809 43214\n30609 50109\n15585 58235\n55989 76411\n11432 25684\n62721 85861\n7538 69596\n91904 99183\n82051 99687\n76299 99011\n11129 59949\n34583 68271\n32279 58994\n2473 72925\n23256 56264\n18449 26580\n32496 73887\n30084 56593\n27693 63794\n2230 56183\n43555 96269\n74210 97070\n14050 82756\n3982 35943\n74039 96123\n53855 87817\n58136 92037\n59195 69655\n65063 74338\n4182 76641\n11488 91166\n22918 35607\n40660 91348\n5750 10449\n3177 62542\n61902 79114\n44764 64880\n40467 62663\n62893 95559\n3092 52009\n79064 88844\n46833 49993\n26502 74304\n39717 75482\n52565 77320\n78838 93711\n7951 46592\n70330 87198\n10532 70697\n19874 40172\n68454 74057\n7117 8386\n40307 49746\n3287 51012\n76831 96504\n35769 81131\n19482 33143\n7001 23005\n48870 56855\n11020 51748\n34635 44142\n32180 33160\n66941 85962\n20225 35178\n88030 89087\n28959 98411\n96280 98917\n55407 58227\n51397 87001\n38262 86017\n32857 56207\n55859 96824\n39811 82836\n36541 50389\n16155 67081\n11566 84863\n87705 99460\n34479 42237\n19685 91210\n22772 31668\n31663 57142\n62963 88348\n29943 32726\n14123 43852\n83737 90334\n39727 67739\n91388 95527\n1230 66473\n30140 80244\n16228 50417\n80241 96166\n31534 43814\n3212 74052\n32738 64882\n81526 85876\n51535 82160\n10765 77590\n50241 62699\n42585 70697\n17989 35855\n6198 96157\n28635 97160\n21263 61076\n41734 77070\n77314 85074\n34575 43655\n40469 71110\n50390 98051\n32059 71186\n27990 50137\n58263 73187\n17108 70568\n9962 64000\n18995 85452\n16 61446\n15700 16087\n5590 18625\n55893 83954\n14018 94723\n16610 35600\n10850 70532\n13797 68700\n40223 58525\n20377 30741\n51062 84483\n51474 84496\n26988 71575\n410 6239\n54533 83022\n71241 84749\n6235 47472\n16162 38378\n20720 60839\n72125 91932\n44162 91046\n3944 60788\n27901 90030\n14136 84294\n30867 96672\n9063 90713\n35209 42800\n19808 39474\n55671 84264\n59008 96234\n47999 89560\n14279 42251\n14898 66109\n25474 55311\n44468 54265\n13903 60350\n8890 77342\n26819 32923\n21657 95165\n5718 13779\n61896 90333\n30313 35391\n18778 81171\n24635 29770\n89951 94920\n88538 99653\n15527 73763\n35817 87438\n24449 74288\n6863 92078\n67131 83626\n60991 89801\n80980 87164\n41702 42340\n41696 41701\n44042 64263\n69986 90689\n23034 97110\n31174 48339\n36386 97430\n23345 23634\n70339 81031\n5842 89824\n24366 85265\n73341 85412\n34625 48794\n42830 76048\n28967 30765\n71608 76018\n14400 37455\n5657 80576\n43125 83700\n11661 93715\n61876 83325\n46533 72833\n52333 96924\n37188 91413\n27225 60551\n39649 68808\n7917 69038\n8902 18423\n82155 94128\n23441 40785\n2152 46341\n25392 63647\n14165 43630\n38074 73673\n73091 95877\n9301 19603\n28042 88841\n20845 75821\n5210 8759\n5667 79114\n56900 82368\n1916 64246\n20778 72358\n30601 47992\n48665 93914\n11550 85813\n1224 70556\n26087 37697\n48041 57044\n19663 73886\n16937 35220\n30163 33781\n8187 69428\n905 64029\n10739 76511\n49931 50484\n23593 66967\n84354 87939\n4576 26794\n77531 99406\n3228 65403\n23719 72604\n6113 16336\n30537 93819\n71241 81280\n42764 50717\n30774 32677\n45499 53116\n20731 20762\n45498 51981\n11610 57862\n47256 92949\n9253 92571\n41913 43558\n81682 86340\n36822 63750\n5372 90442\n7108 93593\n4089 41395\n24294 65281\n12349 47389\n44425 77941\n23786 90746\n4474 52298\n38896 71233\n2548 69880\n22972 99451\n18812 58244\n10657 96602\n70435 87585\n72920 76810\n45244 82651\n77168 77609\n23503 66025\n48398 76270\n1671 44217\n24711 54533\n37078 61686\n63860 86768\n62281 62924\n35187 49037\n36017 53444\n70870 86943\n4433 46659\n21074 38748\n32417 78314\n36984 78193\n6467 92755\n11365 55087\n4417 6776\n15273 34341\n1340 72344\n545 20483\n2001 41015\n50953 62591\n33504 73977\n6653 54931\n51911 70068\n34451 41099\n45885 82360\n5384 58821\n93943 94430\n19064 27249\n3574 47335\n43772 77460\n428 11287\n6184 16155\n19439 83295\n39902 62671\n21863 36957\n13307 74692\n46648 75129\n56867 73464\n2252 60693\n78793 79496\n12449 75873\n14633 49021\n24305 92855\n28667 61611\n30190 80450\n31952 35964\n11299 73593\n33201 81488\n3285 82924\n77533 77823\n67185 83604\n48352 87778\n48825 52274\n41581 82935\n55666 80657\n16872 26351\n70312 98989\n7485 11289\n24263 42631\n6913 75861\n23883 80478\n42989 65524\n46371 59736\n48653 58956\n1647 25006\n6778 91073\n57490 84701\n24964 89053\n37599 55058\n22111 80843\n16107 29245\n2132 76094\n15431 46241\n10008 32999\n14853 90513\n24077 98794\n1159 95194\n60126 90058\n36985 66181\n50787 70785\n17910 85540\n12852 23169\n17453 38328\n9205 87676\n33548 99779\n45915 60650\n20828 61211\n26237 55007\n18357 31362\n58190 67071\n10706 36389\n5009 75171\n61914 94526\n33602 40383\n11059 19016\n7572 56603\n24779 81648\n37018 54042\n24483 86493\n26147 99026\n36191 60061\n21502 50005\n53738 96698\n72153 75976\n8771 61664\n7342 74278\n20285 64397\n60296 90893\n16601 48522\n10006 36268\n17721 20536\n31604 69616\n3062 67197\n7793 84116\n15986 35815\n41134 44289\n60382 93582\n12160 53734\n79051 87401\n24422 26933\n72392 84724\n19630 89166\n10931 95542\n69948 95206\n20317 99365\n19500 97479\n61819 83099\n11354 75941\n41476 62325\n26433 76839\n11178 11406\n5060 46998\n37231 96113\n43720 77449\n45972 66704\n4075 59017\n5095 56259\n36208 77923\n44187 80049\n34397 37344\n22002 41295\n2814 19126\n17335 83202\n887 18658\n9675 42188\n42345 66823\n23708 86277\n56085 66750\n44196 85595\n9387 99801\n38771 70676\n32271 63688\n23758 65462\n5398 24902\n23764 54612\n71395 81582\n29175 62008\n6309 75948\n67253 80307\n6965 89117\n15632 25434\n21936 67563\n25459 38287\n12526 67872\n3608 85574\n57414 89408\n26201 77642\n16444 98302\n43984 75326\n52368 86672\n51760 62319\n15009 27055\n53356 90413\n44962 64886\n35203 44903\n44577 92756\n14142 99964\n2958 46869\n32203 78070\n57153 74434\n7368 48415\n7244 19399\n63025 64302\n1474 15895\n77755 97334\n55196 76408\n13106 28012\n37566 83292\n43845 58603\n9047 99130\n6571 17510\n46110 48071\n44886 86250\n28930 64973\n27109 82389\n64334 86779\n43932 73861\n22090 83630\n27119 53369\n4915 47602\n53143 84184\n3959 63835\n49234 52335\n63199 71190\n11195 74028\n30099 82714\n54857 93998\n29458 39936\n37727 97917\n7702 15185\n31929 38045\n1963 83575\n45582 72547\n39182 86118\n36980 68171\n30662 86915\n78758 92595\n49444 80918\n88689 94765\n49496 70777\n27702 54338\n14985 97989\n45847 67601\n15687 69321\n2623 20048\n15231 75935\n38742 68608\n8275 29894\n22682 85451\n15328 35166\n55499 99543\n83497 87337\n20159 94281\n45997 67298\n4053 89303\n83566 97219\n71772 79920\n51447 83535\n51146 79651\n38300 53615\n7572 22645\n80885 95478\n27150 82868\n47383 88313\n40467 76623\n55977 99670\n38009 40653\n45419 72478\n15793 78629\n21513 81264\n40752 48599\n77453 83137\n558 22339\n55913 96209\n29749 43039\n41192 76380\n15601 63206\n63983 95594\n34902 38941\n27328 35052\n34286 68532\n66126 72259\n47200 74224\n11995 64562\n18600 49933\n9075 76487\n65580 69105\n24010 35618\n43809 87383\n950 8426\n29758 80335\n3909 79290\n10204 27859\n15831 72655\n23653 40221\n32272 48372\n59037 65206\n24444 28317\n46236 65484\n30088 47390\n37478 46732\n4408 88445\n6673 11626\n36785 86002\n35117 88345\n13978 83131\n52919 81295\n908 91080\n57226 61659\n56285 98696\n41527 61260\n48665 70188\n33020 99686\n31093 93557\n29853 64865\n29332 66709\n13074 84505\n65610 66263\n46102 86078\n66367 80128\n29597 99797\n28663 64463\n60161 89684\n43838 66215\n31832 55588\n77037 80997\n45829 93389\n8852 96071\n20448 88009\n20078 51988\n40768 83402\n21064 95832\n51303 75044\n14951 28188\n49917 90928\n4658 65913\n8005 18028\n10820 90819\n35734 77108\n37001 47748\n1087 53527\n34449 94242\n8456 62171\n15175 92694\n32204 53846\n274 77772\n14413 21695\n8464 76057\n40838 91354\n46197 53289\n14498 38379\n58375 84619\n2311 64576\n44112 64642\n25820 46049\n41089 87823\n8210 54733\n29219 68944\n9805 86616\n59432 70598\n13198 59342\n19605 52512\n26587 28926\n33095 96952\n2776 80689\n15153 30141\n28547 60832\n26236 42436\n14775 94446\n61935 75154\n21232 61413\n32559 98481\n52404 64483\n28958 37206\n7979 33142\n22892 84611\n67823 70698\n40646 91172\n16150 61672\n13440 28492\n45190 74626\n73454 97815\n18759 84478\n17649 61721\n16371 50757\n79815 84715\n17969 72601\n30302 93272\n40729 70779\n13376 82530\n14313 99454\n14243 95747\n65922 87631\n31752 43507\n40089 54414\n24330 95039\n38489 53779\n5852 84726\n41244 47343\n48666 77638\n76292 99310\n8303 85368\n12720 87950\n11834 19978\n36095 74417\n26879 98229\n44499 85874\n17731 29811\n16039 28554\n20626 74505\n52467 96877\n13764 76850\n14617 95214\n3149 50709\n12921 18271\n59034 69752\n17787 80526\n12576 83161\n26455 85430\n42919 61559\n46289 58028\n42750 86233\n20728 43641\n21429 90301\n47737 80762\n30958 95395\n51642 59258\n54992 61567\n28158 72890\n1892 31761\n42638 43369\n20764 24376\n15817 23138\n9058 63689\n36879 86349\n42889 96024\n24837 88900\n42748 43033\n18683 28154\n79418 83153\n17564 26984\n47621 81102\n25174 89276\n40268 45468\n62862 67964\n3406 27856\n15979 81177\n16214 71643\n31413 55854\n69883 75418\n12231 17824\n51220 52785\n84767 88338\n90613 98673\n25021 64083\n15071 21223\n12480 21640\n8484 79652\n61191 77839\n43942 92377\n66462 74103\n4099 84893\n12110 62273\n40708 82594\n35758 89890\n65030 81323\n10360 91062\n36198 68448\n45036 56460\n43547 72355\n43699 95689\n6394 52721\n49104 53851\n69870 91183\n47282 57151\n49200 50821\n1763 25650\n3133 14789\n16127 31582\n43453 62660\n2568 29488\n61855 89639\n23877 86481\n658 96525\n48314 67829\n15144 36436\n7957 56991\n80775 97907\n14205 47507\n40666 66650\n3261 14499\n10410 57989\n73029 77825\n17353 91508\n5700 18186\n2041 29250\n40639 54844\n29277 37739\n79677 98789\n6009 61195\n83216 94178\n16905 44860\n70072 93499\n7160 78820\n37583 66497\n63992 64894\n52801 72962\n61302 88958\n53607 90612\n2529 40991\n23393 24778\n45252 73402\n79394 80977\n73191 82971\n71799 93729\n90298 94765\n28793 84959\n15453 18941\n564 9215\n22374 77596\n28538 74786\n3432 33664\n17538 50796\n33758 83312\n85238 92622\n10118 37036\n36550 51600\n9863 44511\n55573 77964\n3487 10063\n50100 84354\n3774 66292\n35747 90845\n12616 86998\n31550 74886\n15489 59304\n56927 90190\n28878 40903\n4154 21379\n13213 18840\n3663 28771\n34005 72239\n54324 73482\n21210 84017\n4963 6124\n40954 92283\n55712 57204\n18034 27488\n26773 43413\n23258 97925\n50153 78997\n30857 88907\n73107 80530\n82848 98274\n7188 43967\n58651 93512\n30952 81683\n39402 60437\n46797 51082\n4892 58461\n62620 92740\n16495 95138\n51097 77850\n41172 57205\n4185 85836\n42602 67957\n23614 86226\n31541 51201\n3641 45354\n5177 95565\n47794 48520\n19210 64059\n77575 87031\n18015 78874\n25554 78940\n7180 74941\n23448 92255\n30480 77847\n6908 17229\n93894 99682\n7834 41896\n37859 49179\n12603 96761\n13524 29475\n9804 83983\n15416 95831\n21216 75931\n60932 87225\n6251 35302\n75080 83235\n79138 91477\n44186 59874\n58078 68577\n82663 91945\n73442 94225\n11166 71080\n28623 45549\n50556 52484\n70359 81768\n21222 87383\n40717 48280\n42106 98895\n27956 45572\n5658 59811\n37550 99169\n15663 60578\n18393 38096\n30815 79617\n9470 55609\n19814 54965\n21943 64990\n36532 47784\n38869 49531\n33656 84459\n38500 99408\n75641 78810\n23767 85263\n82807 89909\n75922 81883\n19593 87547\n13191 15493\n35183 40541\n61226 76008\n23554 32831\n22433 81228\n6232 25083\n10321 48494\n21356 59737\n49724 97362\n829 8153\n7055 40721\n49210 86156\n32018 59841\n70855 98290\n30652 83249\n28950 66988\n19419 50014\n11776 41723\n18107 98933\n64100 67265\n15578 44379\n50516 89082\n30852 62815\n6933 25693\n3016 8783\n25564 46971\n14486 46440\n22594 39737\n2714 22681\n44093 62864\n15062 93477\n4763 60287\n63203 97598\n5612 18105\n50991 53091\n29117 77455\n2358 37831\n55166 59426\n64800 85608\n29564 88738\n19212 67880\n34752 77580\n52666 83156\n11788 98949\n4833 61673\n29795 60368\n32274 98535\n85824 85984\n19101 95683\n14485 91778\n59044 90242\n35777 71268\n2682 71979\n42595 65213\n28974 87244\n29528 90733\n77475 92583\n12997 19215\n19432 31192\n48608 89210\n67135 95181\n2264 66878\n11122 67762\n7813 11100\n52590 69493\n10287 71615\n47693 78429\n25297 44724\n7560 93833\n38488 64162\n61080 68821\n47388 75723\n86844 93625\n19426 92426\n190 57544\n25594 71548\n24111 28262\n13586 87697\n54464 89695\n26896 74727\n17937 47121\n7565 13921\n128 72084\n32859 66829\n19933 53894\n77120 88208\n33739 79975\n59830 89799\n31639 49856\n45977 66693\n24404 75734\n17188 53743\n25675 88618\n28425 88969\n60050 98792\n23430 50101\n39118 59324\n12948 27630\n27371 95533\n73849 98047\n41833 85307\n14186 16451\n21008 93150\n55612 63786\n11301 68353\n37572 98987\n15183 58116\n32323 88035\n13234 38210\n2730 42115\n39382 65570\n49279 62832\n6422 23823\n9421 40325\n798 15248\n47209 79819\n3197 20283\n24859 88378\n13836 26602\n67584 79853\n6873 82910\n42599 58923\n37661 83234\n7360 24181\n47971 61030\n46082 76127\n37148 73450\n13560 51296\n19505 78001\n53126 57956\n815 86633\n12409 49738\n70563 75932\n52920 59706\n13282 45850\n52858 60900\n20446 43108\n20837 75860\n44190 75573\n27790 61859\n27027 55580\n50710 93611\n57527 86492\n56541 94236\n37990 99583\n4060 73742\n52301 57973\n12977 91816\n10237 32700\n12863 15778\n83006 96337\n40641 82077\n17414 57353\n71591 95896\n13121 15588\n7533 58850\n54992 64811\n15934 43119\n49274 87506\n3733 31390\n25964 42150\n38747 45011\n8943 71985\n247 97331\n31762 42858\n78797 98859\n25808 69323\n40491 66775\n47942 80273\n63742 76333\n72522 72534\n7426 32854\n1895 27416\n132 55391\n74940 77196\n8770 74329\n3283 73224\n1097 9112\n56363 71428\n21979 74331\n43317 76528\n49730 53613\n35086 58879\n23056 81564\n15068 62974\n796 4387\n8256 95830\n5787 94981\n6567 34629\n30954 85410\n69024 88026\n30554 66806\n78637 83188\n58120 96107\n21626 43474\n46409 47351\n38185 56533\n29008 82523\n72780 83735\n53686 98437\n23163 81883\n30369 70846\n52106 68838\n574 30802\n7378 42969\n46589 94203\n18446 66604\n37268 49669\n87657 95749\n41592 92610\n6949 54834\n43278 87008\n67554 73767\n1451 37191\n20331 92540\n17669 20004\n8328 20124\n11835 30776\n16726 33586\n417 4557\n3065 7103\n27801 79821\n25298 35102\n18329 32783\n58136 72163\n23562 39117\n47193 51627\n4188 91579\n12506 88046\n42351 96406\n13146 17570\n55428 77288\n39340 99368\n9857 89165\n31140 63036\n75965 85707\n24374 33223\n182 13460\n21021 86490\n16532 91755\n36967 86867\n34435 69858\n34170 99045\n36479 58930\n90209 90720\n33365 98946\n67585 88554\n28282 39176\n59861 59912\n83478 99251\n45395 83512\n11031 56162\n44930 50768\n36488 71989\n83773 85172\n18158 36596\n47307 95781\n48719 63116\n74143 82198\n21220 58162\n66428 86998\n5974 24529\n17925 29451\n33435 43538\n47296 75732\n61737 77541\n59125 68149\n15190 94976\n67292 69211\n54180 95718\n27000 69942\n14201 89388\n59957 77095\n62581 72967\n25026 86077\n20664 41789\n10879 98527\n81033 97422\n39235 85757\n11296 30480\n5643 33556\n16883 57926\n49495 80589\n32899 96377\n52975 69015\n25241 30515\n15873 94134\n85566 99418\n12891 14495\n22709 44032\n21867 63718\n4609 51295\n27809 94040\n76402 97559\n16388 66445\n74956 77542\n2200 66857\n64475 74484\n12584 65466\n62959 82434\n51858 97384\n46234 84763\n17033 57877\n33113 35452\n7375 80164\n23044 44379\n56949 89099\n15534 43272\n17674 43733\n31358 49370\n1933 90610\n5858 10547\n41526 77388\n29631 48705\n76138 93870\n60152 86150\n81967 94011\n58210 65174\n92484 97592\n47617 87056\n29303 74430\n4246 52376\n51927 59737\n77341 83316\n64446 98196\n2262 85686\n1355 18397\n4208 62496\n11936 55446\n1561 43825\n18906 42748\n5068 27010\n17344 30267\n10254 66167\n44431 58991\n371 45151\n15223 39778\n56471 62891\n36135 79517\n76631 84984\n21313 61014\n46328 67449\n54680 82230\n35443 44791\n26744 27645\n36803 77280\n4631 53799\n54973 74990\n8475 40248\n32625 92777\n50696 69278\n59802 92508\n13988 74049\n35808 42316\n10948 18448\n7682 82584\n46159 83102\n58666 70423\n40393 64558\n43792 93746\n8147 36992\n64702 95958\n32430 68537\n48863 83817\n59151 69957\n1671 13819\n49264 55483\n4900 99175\n5633 15052\n70452 98834\n27954 31475\n4339 42217\n1631 20430\n77136 77302\n39302 66897\n81468 88051\n27460 46402\n48372 60507\n52544 67466\n5690 39249\n43388 98650\n50985 52415\n45795 96274\n28425 33649\n24823 41181\n22296 60829\n21702 60510\n49839 99673\n23954 55123\n9053 16570\n51547 92780\n32581 83922\n28704 96288\n813 35488\n19885 24909\n51645 92796\n25304 76891\n32997 67598\n95325 98358\n24554 82198\n7365 15055\n15089 43407\n56685 66195\n10990 14153\n47570 80622\n13587 45167\n18609 51951\n62644 86894\n35863 44006\n42311 50733\n49350 53889\n33779 86830\n7002 81482\n1264 87984\n73788 73902\n49747 69381\n17757 19464\n20844 59201\n42890 82927\n5390 66256\n21260 24784\n3962 48559\n55137 96403\n44527 91567\n51207 53867\n44944 54984\n11066 84437\n7385 86001\n74565 83387\n47592 51856\n18162 36672\n23052 39649\n4328 98880\n76704 96091\n63703 86781\n77774 82883\n47748 97893\n29534 60236\n31336 81290\n8698 30891\n40886 64776\n34095 38218\n49736 80901\n29074 77405\n37829 80615\n45421 92098\n3212 91222\n91157 95551\n45128 76640\n49275 92127\n10730 40549\n7226 83022\n75183 88310\n896 72467\n20807 62157\n23535 74081\n687 55041\n20114 58318\n1278 43883\n40217 62732\n42232 62938\n24945 97254\n35852 69756\n25845 33206\n38110 93666\n24846 76064\n52563 67278\n40495 52537\n3720 58309\n4244 43441\n65178 95034\n11344 56570\n41696 52067\n16033 67057\n50105 97729\n36041 37172\n9420 41044\n74679 77990\n29268 35676\n41213 86567\n419 57818\n58104 67541\n45864 90565\n38878 89073\n37503 78690\n60302 95158\n12850 82423\n28969 30239\n32653 86303\n66001 66152\n35352 61618\n5648 67094\n4949 85105\n22151 25126\n22935 81787\n23276 85478\n36311 82009\n21840 72062\n16144 32094\n32223 43171\n36750 94636\n3407 19262\n68437 84477\n23067 89018\n1447 21583\n57188 96810\n52110 81744\n45802 89554\n68531 72866\n2285 98824\n42296 81301\n12563 98549\n19762 97121\n1820 26245\n49541 65725\n4022 80995\n38273 41410\n95769 98465\n29993 98970\n35869 40656\n22390 63292\n42861 55232\n30470 91573\n25818 36071\n16182 28965\n14664 27734\n54528 76488\n23314 88626\n59354 95178\n54480 58709\n19695 22907\n21679 24665\n30468 48262\n13081 23810\n7352 70245\n16402 19868\n73026 87993\n82031 85631\n21059 28116\n10508 20914\n44146 55092\n53874 85160\n14188 23375\n39243 53635\n11765 67904\n25796 67429\n8102 92963\n7134 67092\n36024 63216\n69989 91309\n9444 99394\n36452 39066\n44718 50854\n14014 57258\n60661 65965\n52075 79210\n17648 24687\n10664 85258\n34334 50282\n17935 41180\n73945 94196\n3512 94933\n8631 59364\n3922 20810\n13301 71549\n50701 80162\n51632 86831\n17827 47443\n54222 73002\n8090 47392\n11080 20487\n18313 37001\n10103 53006\n20021 59200\n56756 67637\n39831 46576\n53579 90325\n25945 35214\n54482 59178\n11015 36452\n524 57889\n48242 60004\n82832 84576\n61868 77828\n66335 93833\n30024 79274\n17508 66126\n39240 57494\n27577 93741\n54332 90414\n21755 44555\n16894 53234\n36283 42818\n12492 91323\n53713 68954\n15961 48873\n5828 38275\n16899 64867\n10873 20113\n6117 63010\n17367 46892\n18358 51175\n47773 62512\n81999 86487\n32893 33227\n36971 99332\n12939 63399\n72768 84142\n5260 57571\n30328 73074\n33504 85856\n17722 72112\n11855 21590\n43420 79870\n21389 97670\n41929 71985\n9359 73937\n20923 52294\n7241 50754\n37558 56567\n49726 76021\n53383 67587\n511 9075\n18959 72154\n45559 90864\n18024 85058\n50659 96535\n24297 60487\n42249 44917\n20095 44355\n2521 99481\n67372 94133\n1668 51036\n36713 40188\n16213 52468\n5588 90168\n5305 44226\n13986 40349\n30782 68940\n12112 55109\n14715 62937\n77460 77738\n4016 92040\n60629 86096\n23367 41068\n44919 85105\n51315 57624\n663 70978\n2443 45263\n41443 82991\n36646 96516\n12239 35129\n19733 20674\n49848 50439\n9416 48344\n3324 43081\n70162 88599\n51601 70062\n48363 51471\n46650 80764\n21073 64349\n38463 59195\n30377 41578\n37303 48161\n5546 27614\n40852 84508\n31269 76466\n68245 90412\n55232 72373\n80619 88399\n39456 71523\n1610 99194\n25153 84409\n40889 55369\n30328 39275\n57285 89425\n21416 94819\n34383 80805\n3109 49709\n22698 28110\n63277 81857\n25816 58205\n13140 90541\n61394 68344\n11688 76498\n47031 77423\n10309 35854\n65000 97782\n35872 66430\n34342 62268\n32211 80883\n20671 76718\n4393 96171\n52709 57911\n19908 26701\n18848 32267\n59239 90323\n61549 68736\n40033 87461\n32279 92868\n55268 97172\n7463 91468\n273 25145\n82799 98619\n58507 65780\n33502 93661\n27399 42009\n48730 69200\n3705 85880\n13805 95865\n49941 93861\n3631 72912\n75177 82714\n5243 33778\n22209 66018\n7007 8799\n593 28579\n46089 81439\n46062 76119\n42889 44061\n5161 50611\n13669 80766\n39189 83255\n14066 87549\n24085 73039\n1854 14788\n40933 43542\n28173 38919\n12355 95925\n2434 4929\n50020 50152\n9634 85885\n66428 72546\n66594 72736\n48592 59484\n38205 72127\n15316 98366\n7921 79257\n50152 57882\n21980 73333\n20532 33329\n33766 86654\n81588 85776\n13707 84197\n80538 92834\n6005 39158\n34537 51224\n7188 36363\n26599 84516\n13900 76092\n17501 55782\n75533 78851\n50962 76106\n9261 15546\n26483 49813\n35349 59458\n18409 96492\n39281 41715\n15743 36147\n3825 46010\n42465 61717\n72120 85751\n9100 17153\n13698 26456\n4358 25391\n4214 46243\n21224 91333\n22998 36254\n6267 75479\n13480 25923\n5816 20664\n30123 60538\n68195 98819\n12917 29126\n34529 80644\n24905 30914\n5811 86931\n14532 71819\n7401 26473\n38047 67557\n45690 82785\n10952 91712\n77565 91976\n44414 98715\n9943 42229\n21249 47278\n42926 93127\n3054 14493\n5007 12435\n58951 75726\n30567 59443\n44592 94654\n22205 59800\n21233 52264\n48201 66639\n14749 79656\n24983 42001\n19046 65510\n28707 92973\n21786 33042\n55837 79333\n24185 88783\n1875 54977\n42598 64935\n68446 94052\n31121 88533\n1479 47230\n20022 23950\n22752 67564\n23311 49331\n59538 59934\n82429 82916\n5107 20051\n53068 72278\n36687 49253\n69649 75011\n2936 54266\n22409 33725\n14892 96369\n39948 98985\n38779 62007\n49456 85883\n8837 57634\n35305 58439\n39973 40437\n37373 59180\n54785 73377\n60586 98740\n37123 89797\n20553 71024\n8688 69177\n84844 92531\n5611 57976\n25487 56501\n10438 42020\n5192 65422\n98608 98967\n9095 61744\n33759 46152\n17859 83933\n53294 82712\n3141 47498\n8168 70337\n29850 47584\n7180 65285\n53306 97191\n63637 64922\n23611 80576\n6395 33773\n37004 52685\n66748 94323\n24979 68189\n9709 32502\n37064 72738\n11818 76309\n68317 84285\n27940 51222\n7766 30963\n58030 64734\n50356 82026\n32300 61269\n13320 24715\n59476 72839\n86897 99028\n5871 72231\n40830 94616\n2714 20338\n28421 56090\n19135 19803\n47691 84733\n995 88135\n11955 89022\n1226 48526\n38732 63180\n29624 67635\n23667 99071\n26838 54683\n36815 60494\n63467 88863\n18043 55316\n30721 79342\n12928 21737\n160 22046\n45063 53746\n18169 65536\n74808 86354\n77774 95568\n65229 70149\n43708 87434\n27714 50233\n19749 59667\n29202 34832\n11262 33396\n56939 58945\n14113 21197\n61563 69329\n15319 91173\n52925 87273\n4634 22358\n56962 92427\n92384 93308\n66576 79031\n59771 91001\n71121 72523\n16774 97803\n19294 71151\n62169 74767\n11558 15048\n2330 32152\n30339 43522\n3948 63373\n74299 81514\n45582 58820\n14704 49473\n38153 73067\n5858 85605\n15489 77706\n76579 98805\n80069 88618\n6323 70697\n27441 90215\n13816 20547\n11830 86653\n64872 97314\n4680 16574\n50393 81786\n74586 75762\n10485 70863\n7424 35475\n48298 95681\n47179 84987\n30568 62555\n2305 92224\n68322 74872\n45117 92546\n61360 72262\n5092 68710\n72500 97106\n7860 83824\n42757 87169\n31728 71311\n10178 75075\n44027 87353\n33695 51767\n20685 55863\n18683 28474\n44371 69610\n52659 74415\n8479 81167\n39096 82745\n49679 71882\n21425 44568\n32806 35994\n744 24350\n7621 31324\n84325 98011\n61722 73899\n13093 88369\n721 35965\n53622 75994\n62757 77251\n4778 88046\n44833 46942\n10192 45337\n36034 88808\n17302 40821\n28843 91369\n12601 64485\n72349 99611\n41965 94922\n5222 25957\n71268 97328\n19430 86153\n13864 51465\n53257 59271\n65786 73064\n33676 56200\n75426 88610\n13758 42440\n10542 44081\n1017 96769\n11398 22623\n32978 81345\n55788 89939\n86300 98705\n24800 72004\n60219 92310\n18264 43907\n4020 62683\n31421 78898\n21405 53732\n44093 99677\n16198 99885\n55852 96245\n64594 91614\n97725 99760\n52773 89536\n82 50055\n64237 66393\n89617 94400\n68199 90226\n85064 90627\n84233 85420\n29564 36431\n5859 37030\n34949 89841\n3648 13012\n61239 66669\n6728 66061\n11748 90198\n44128 94149\n12012 46542\n16199 47042\n67260 93960\n49016 74115\n16945 71953\n52103 83756\n49252 70341\n56294 60618\n39919 84487\n36506 51463\n30944 97102\n9519 46409\n12924 95359\n23650 26294\n11433 85171\n9180 84986\n65873 75538\n48490 77289\n47018 83726\n19046 53127\n38015 97961\n67371 87136\n32244 71522\n6756 91023\n74364 99767\n28826 50963\n23135 65536\n36449 45716\n58703 96448\n64039 97110\n62283 80806\n26192 59490\n49430 70454\n15276 19835\n12771 48396\n95782 96618\n21578 84224\n29027 50371\n28299 59943\n70031 86576\n67389 75602\n61951 62797\n85034 86152\n73520 87279\n74983 79809\n14598 50472\n12839 23700\n3928 64649\n86992 98232\n9548 90225\n52636 69305\n28026 81822\n57680 76489\n28828 55187\n4460 40450\n3918 30522\n6915 21972\n53286 86097\n21017 79197\n69365 90710\n17150 49826\n14858 97856\n15863 36985\n61155 65912\n41315 68858\n54978 79288\n17031 99594\n24242 45121\n22006 38843\n27798 33568\n36346 92904\n14334 38785\n30389 55614\n12791 35336\n11349 84125\n165 98784\n46801 97819\n24036 56231\n26890 97598\n44306 65530\n30735 35495\n1353 1494\n24309 76639\n36302 44496\n1953 65523\n15326 20310\n50032 73122\n4363 47992\n48113 51187\n1788 98579\n49064 78129\n7435 96095\n55031 78980\n84709 92359\n28128 35623\n43076 79640\n39274 72455\n16702 58603\n29303 38278\n8803 69243\n39297 96938\n44392 83658\n19730 40759\n37186 54652\n7037 22299\n37265 57253\n9792 36778\n39227 96987\n24738 44812\n5852 7424\n35288 79884\n34281 57336\n7035 52919\n32834 46454\n771 76954\n8442 83527\n52121 88923\n10408 12114\n13427 79472\n20667 35227\n25821 69321\n41883 59625\n55059 70232\n46706 97760\n31606 86723\n25700 44448\n287 90650\n38628 90136\n39358 95503\n56035 86136\n52142 64517\n21745 42467\n62867 68062\n59149 99949\n36029 68179\n16813 78721\n27563 57670\n31301 36424\n13106 88511\n2193 65638\n4510 89649\n38268 53869\n48115 87274\n6833 36865\n31707 93571\n3742 62533\n7705 49743\n27529 63725\n17122 31463\n84817 91752\n72979 82575\n17149 44444\n12562 21937\n83884 97760\n2289 70005\n9955 21564\n25877 89129\n37891 75317\n40405 74410\n7981 96885\n41057 88678\n77638 89675\n22015 61294\n7041 59491\n7675 55231\n34715 83212\n11350 27977\n16467 49934\n16676 41724\n8411 67492\n19738 80672\n37460 51722\n26653 97928\n51432 91778\n95242 95722\n62279 95207\n12587 84702\n15774 39670\n66268 71392\n59863 65000\n60489 98090\n14851 62131\n19524 44968\n53006 56184\n85378 88356\n44186 64728\n7807 14270\n8099 75104\n79015 95806\n9105 12026\n41495 55536\n38395 77601\n67155 75726\n52178 59444\n4494 37147\n22526 97603\n80595 86579\n54292 69959\n16882 89756\n28061 88463\n26545 35621\n80803 97126\n21429 97466\n44271 83572\n36284 59554\n3870 14002\n54045 90475\n55591 83963\n15449 28832\n41613 74856\n6475 81403\n9757 25093\n20908 41796\n10668 83805\n27503 47685\n64869 88747\n52340 96898\n10353 18164\n16619 92569\n31185 83811\n20779 46235\n23099 48881\n28561 32337\n24195 44790\n51625 95090\n42591 59420\n5063 68294\n5720 66953\n12702 86572\n14061 43227\n4562 78542\n58874 66442\n35380 88663\n54474 63207\n44069 70921\n16790 35914\n51024 65135\n71959 96625\n65480 77628\n15553 63145\n82787 96069\n44633 45384\n36175 69708\n19809 84391\n85270 90171\n46557 55430\n75121 98188\n77369 79166\n45531 68455\n13088 78381\n56474 88213\n54292 89654\n468 81740\n8655 19743\n51890 82220\n1652 91292\n22188 48077\n63346 92910\n8017 56007\n6475 44849\n42408 63675\n20080 65176\n2635 85855\n4457 72788\n24872 82129\n32023 89145\n69384 79574\n52147 64436\n25071 72052\n21436 51578\n43607 71638\n7752 41557\n2918 48462\n18772 35783\n10402 20243\n20396 30281\n51188 58777\n25855 92659\n90642 97521\n90241 98058\n2908 32106\n20246 52795\n1908 22896\n26105 91584\n53446 66489\n26985 99800\n15309 36232\n11770 95247\n58529 68394\n17006 61719\n40142 60834\n53048 82853\n14520 52702\n32782 76449\n51914 73738\n16307 65983\n38263 84692\n44806 67364\n35704 51801\n84239 91384\n10695 21671\n39626 63638\n5747 50018\n23829 91571\n33537 77995\n20898 35098\n21493 91687\n89840 96378\n23435 37352\n69079 95349\n16173 71055\n53186 68348\n48823 89842\n97840 98205\n73971 78099\n6053 51792\n48101 95271\n10345 71287\n52636 59024\n5208 14457\n2372 9309\n25958 54570\n11603 18714\n50913 68734\n87 44731\n19369 25078\n34030 47103\n58018 66134\n43756 45550\n12637 85715\n23480 80773\n16379 16962\n44946 46712\n20763 28711\n3916 16027\n20499 74663\n47865 98464\n19310 27044\n46686 51951\n20987 34790\n61090 97513\n25494 98693\n36273 86917\n63691 92780\n29958 61228\n40606 94307\n15505 79936\n32769 97178\n20461 37288\n22290 99385\n54935 57641\n10370 15742\n58468 67819\n63989 86297\n29098 61763\n62499 70784\n40125 69171\n42073 98403\n15328 89358\n16979 98454\n53322 73388\n39999 96410\n94972 96022\n18208 23467\n18925 44330\n187 51593\n34131 49965\n16491 37251\n35630 86925\n20895 41495\n10710 91221\n5833 29892\n15616 91789\n15784 94500\n74831 76954\n35617 39352\n9217 72737\n16373 30570\n34534 91049\n6196 37191\n65380 70647\n23601 47490\n78926 96528\n35512 70465\n4870 43403\n8877 70522\n9716 67379\n640 49123\n10211 83301\n18006 74858\n84523 87661\n41696 81722\n17021 54698\n76974 85070\n31705 69149\n34543 48444\n60426 96655\n5316 70164\n9275 29557\n27054 27260\n3115 99939\n29831 99477\n80071 97104\n43628 56691\n48570 65995\n33678 86145\n10722 41585\n9577 67812\n55491 72449\n46977 64984\n48865 52079\n20715 25370\n22056 42147\n8853 68414\n65610 82979\n42137 87627\n11109 74594\n46719 84366\n19094 36126\n40103 74288\n10809 52824\n30793 79870\n65782 96903\n60566 80897\n9541 52374\n22495 22585\n3205 14610\n13455 24943\n14822 84169\n65213 74174\n35704 61990\n27366 84342\n25313 71526\n35448 59091\n10404 71915\n1036 99380\n41209 67560\n84273 88835\n67793 85376\n42387 55422\n64629 99929\n18652 97684\n14373 29297\n54965 82133\n41483 94977\n15456 79207\n64602 99200\n28795 81894\n363 78447\n38171 99673\n19095 45619\n82392 86256\n23427 99453\n18804 87224\n68436 80607\n7299 35107\n65178 84456\n61395 83118\n12638 81236\n16818 87949\n4911 20524\n60827 92929\n34775 98956\n14689 98689\n76854 92359\n43345 76948\n46223 48031\n77503 81487\n21726 49943\n86243 99480\n10690 95620\n90741 95802\n10150 30900\n58415 87047\n78325 85009\n20516 99798\n52159 68239\n36548 80273\n61504 80383\n77941 81163\n33526 73336\n43340 93257\n73073 97670\n11724 28633\n12519 42895\n18435 80777\n8443 65624\n19586 87279\n67401 97276\n50065 99397\n39731 74202\n34436 60481\n6536 64000\n27079 70421\n44124 69903\n60467 61926\n17142 77623\n29868 39270\n31567 40062\n4206 35201\n9663 28457\n33806 50878\n33064 48244\n10302 59047\n62378 69121\n51462 80454\n6083 17066\n415 63726\n35710 75857\n51301 65335\n25502 93591\n23471 89947\n2075 86943\n3031 89260\n32779 74964\n18598 49716\n17101 54586\n83663 98516\n40567 64416\n13519 17361\n46270 48565\n86470 96096\n61335 83322\n48425 56891\n5907 33005\n45686 89509\n62831 86857\n73993 93201\n2944 4513\n7588 37785\n77333 96535\n4690 31386\n92222 93693\n38617 73699\n6446 28869\n13215 25429\n8348 9770\n61562 74626\n32407 92191\n44814 60912\n17422 87207\n22655 71719\n24409 79276\n56351 69691\n2249 52407\n9487 77628\n26973 56645\n34411 40670\n16446 22063\n81137 98350\n38421 60146\n19230 20939\n18731 65420\n45305 80293\n13939 31730\n73588 83449\n68774 77590\n7627 97302\n4195 94398\n51795 86764\n10619 42944\n8841 55615\n14197 82678\n18178 70839\n10677 88252\n71652 93620\n4693 37091\n13140 65122\n19224 43282\n50144 88917\n2091 58943\n17363 52019\n16344 57925\n39204 92707\n89893 97616\n46401 93631\n15242 67268\n22851 69358\n18262 31143\n18243 28232\n7532 70310\n41027 54097\n37763 37899\n61397 77554\n35609 61740\n45672 71635\n30389 65939\n34789 97787\n7982 62005\n72628 95003\n56959 77257\n28951 83179\n52173 62689\n64003 93619\n20873 45269\n874 74278\n13227 90920\n23225 28756\n75430 91014\n73432 80272\n7993 57406\n20421 23177\n8243 41976\n25442 84874\n49443 63077\n25655 72574\n21233 97504\n57295 58546\n51307 78777\n35976 63278\n6306 65823\n21589 89840\n5685 97169\n13533 30352\n21419 81968\n36643 90826\n52557 71861\n17539 88199\n3322 50687\n73838 84666\n21210 97842\n35578 40805\n37809 76149\n19754 62419\n66186 72882\n7060 9663\n646 16633\n69271 78307\n13861 67539\n2219 91116\n1108 87392\n10366 78850\n27153 46573\n5056 56409\n40300 92819\n56528 91210\n76297 93930\n32097 73964\n31426 42858\n23028 42931\n5599 9576\n29550 72520\n39269 82063\n32923 83470\n15179 50386\n16434 59351\n2811 88954\n65254 86041\n11695 82248\n31498 88062\n49786 77995\n27377 79803\n86383 87896\n1836 7529\n22413 41340\n77421 87687\n33183 77806\n33967 73130\n18694 93641\n34837 51767\n40456 64092\n29062 57780\n89647 90330\n16729 40627\n43985 85582\n35880 72578\n15693 96022\n7093 28839\n95163 95191\n63222 74698\n79820 86791\n33905 83514\n33477 37673\n27672 30525\n19017 68382\n12210 21008\n16221 83951\n60377 60518\n2201 78468\n54170 77041\n353 24149\n43985 60191\n28181 85218\n21014 38247\n91211 99699\n86656 95113\n16755 70493\n1622 82593\n27602 31432\n7289 85883\n9658 78613\n22088 42311\n23044 50036\n9643 78100\n5751 9251\n1395 27808\n7123 47027\n69194 90358\n7743 35685\n58840 79966\n42569 59399\n16240 87440\n3242 59865\n48089 56147\n14632 16549\n13069 55283\n65586 67976\n24323 80359\n22926 40207\n29232 65319\n51950 83788\n48008 77611\n53478 88909\n16275 50486\n53330 56824\n7897 82141\n15462 66041\n23820 41211\n3116 94376\n50081 72628\n31975 44964\n24189 99403\n96718 99844\n39551 56730\n38201 80684\n4614 94311\n37979 86773\n34127 56076\n1434 14803\n24650 96329\n26763 90192\n73903 86361\n33281 35889\n14895 38814\n62581 81778\n4392 53561\n34316 58228\n21721 69435\n6236 76321\n36831 90299\n5531 6086\n1976 77737\n78860 90096\n22026 57339\n12432 46089\n13450 66952\n23505 82123\n53642 93999\n63363 95816\n23161 84757\n58607 96921\n1094 32489\n57725 80468\n38548 76260\n81342 85881\n67403 88615\n22139 30562\n13435 18461\n20274 57415\n51178 80742\n52291 61983\n8630 13010\n37600 50729\n71047 77132\n2887 60311\n56591 77546\n1699 9553\n89776 97192\n42879 83355\n12042 98584\n67904 68934\n4592 17046\n29910 52122\n14048 84131\n18752 29076\n61393 84322\n19722 77620\n37160 77896\n15786 39597\n18806 86417\n91723 99637\n77249 81259\n43249 48935\n50363 99419\n36687 74424\n19833 47657\n893 5524\n44417 73153\n70537 84503\n30913 65446\n3489 94169\n961 38165\n42501 94892\n90380 91722\n33012 93271\n79780 88416\n28486 35397\n33962 43248\n18733 23336\n170 13604\n6777 93512\n24166 64933\n4608 68594\n39251 82290\n36969 43645\n4447 62744\n48495 50342\n2918 95245\n10039 21245\n11962 43665\n27737 76826\n4388 40972\n13912 78369\n83029 90167\n10378 32569\n78580 87743\n87188 90292\n15295 37174\n27909 73555\n63097 90617\n55843 74436\n79795 85086\n84401 97783\n6590 87864\n18478 35521\n18682 84170\n45695 68551\n14939 62738\n63432 63738\n29395 35580\n28058 64816\n27192 93622\n28404 77236\n8383 84329\n1983 70328\n42106 90185\n27750 65764\n12407 28160\n1727 61095\n33127 37755\n64443 68051\n62239 93497\n4669 21385\n34470 49082\n80293 89527\n15006 84536\n49467 87252\n46498 56210\n14667 38219\n9281 40218\n11597 86636\n19083 86787\n16115 27642\n16924 51283\n16663 81130\n26603 76386\n34282 49967\n3527 38325\n73273 81789\n56392 97142\n80858 98373\n26519 31355\n13783 57465\n45653 87749\n41682 44206\n47208 68441\n74933 99349\n14 75435\n42910 85396\n40610 45802\n3965 37909\n53096 57189\n32461 64763\n45682 58787\n62296 94214\n46629 88331\n16378 44039\n19387 59822\n20605 59296\n59590 88090\n20778 81697\n58493 97716\n40438 57264\n12677 90898\n18211 80213\n33612 49250\n75960 93193\n66567 91600\n36460 87092\n40948 86265\n55816 97615\n4778 6962\n14222 41051\n45944 83262\n62468 88030\n7074 62832\n33318 92074\n4480 80653\n2577 54321\n59908 80270\n13473 46186\n13246 41693\n50014 53928\n31193 59086\n26585 26591\n28935 72481\n17222 70199\n36789 77500\n66826 92712\n15506 60135\n41464 45230\n21657 52578\n73569 79965\n10439 75644\n82427 94660\n14688 80503\n35460 44269\n3494 41514\n280 8852\n72866 89654\n3376 18617\n11797 99118\n66943 96844\n18701 24114\n50244 61820\n12773 54939\n73065 91373\n22470 99277\n36405 41162\n14794 59659\n54047 68024\n66278 82979\n8043 33000\n36875 75880\n46791 90779\n9676 70636\n39269 42002\n8660 47658\n26638 27729\n48196 61527\n8422 99130\n77372 91463\n4907 14296\n6316 88206\n45220 73413\n90431 94367\n35091 97036\n43644 60420\n36252 97188\n15559 46443\n45742 49908\n29385 34069\n10135 89777\n27256 43876\n17311 69556\n36674 59015\n61176 62785\n2864 52494\n14439 48606\n6406 51501\n38751 43153\n50584 68829\n60603 69105\n20874 91194\n56194 83852\n33982 41648\n14762 86939\n2956 80984\n42901 73883\n18730 20952\n1689 72126\n41421 48621\n15414 29615\n67747 87832\n73027 95027\n31780 99104\n16493 80911\n70153 92449\n11305 82131\n934 5414\n46419 61284\n18597 30850\n45492 66704\n67687 81340\n71917 78483\n6936 9535\n41353 65405\n57619 66185\n59657 86197\n13735 33915\n13152 20010\n17059 72760\n19283 34745\n22343 26496\n92011 98781\n71705 91098\n47142 64184\n24346 70963\n76729 90462\n5503 79242\n49050 86276\n32943 72666\n20083 34743\n1345 94715\n33440 94211\n1322 34224\n1451 20310\n701 31968\n13093 43685\n20650 32888\n15154 72014\n9762 47482\n44107 84856\n20772 73745\n71257 94712\n41108 75976\n32787 39605\n1745 45651\n45903 61239\n37005 93215\n74547 85423\n4427 65583\n43911 74558\n7716 54178\n28029 51313\n38080 48366\n17930 42244\n6406 95828\n18724 21188\n13725 50855\n14336 58523\n19505 54410\n42398 96558\n24421 58038\n19405 38343\n6941 79274\n22331 77890\n30730 40774\n63000 79587\n34770 64155\n1223 58041\n23433 31788\n85734 88589\n6564 97190\n42029 62337\n45907 70653\n54376 75452\n16133 70822\n64494 85936\n35636 37885\n52784 87271\n43596 55052\n31005 85558\n45907 94029\n22129 33381\n6107 79351\n26908 41367\n18422 34444\n32312 52749\n39430 83399\n17912 70180\n32160 98433\n41480 66916\n26415 85125\n67497 79456\n35611 51741\n51228 69932\n41562 75943\n26627 67814\n7497 16118\n3384 92359\n31381 86484\n61228 76268\n53003 90369\n42693 57591\n33536 56392\n31849 70781\n31912 72615\n52780 73622\n27672 69432\n7123 65419\n9214 76189\n86488 87004\n51835 67462\n1309 33232\n54781 69346\n47314 99304\n68666 75044\n33657 38240\n471 31282\n74559 99889\n28138 76535\n91 86557\n1278 5359\n3817 41292\n6214 80527\n91512 98609\n60050 78692\n53605 92122\n44011 56732\n48588 50507\n27572 80804\n21050 84145\n10468 44306\n47429 49772\n70268 95838\n89966 96951\n15204 27368\n56013 95015\n1499 80296\n58172 82330\n44215 51337\n11282 22192\n63271 72149\n90919 91845\n65770 70461\n60298 78878\n87785 95619\n30981 99744\n6119 60381\n45755 58696\n33705 97332\n6699 44038\n39548 72833\n29909 99253\n38646 43225\n47025 65030\n33260 35039\n6494 54060\n23405 86123\n34769 91622\n90457 96642\n27465 69141\n42735 83603\n36306 38866\n29666 36388\n20212 61793\n30657 46003\n37926 48312\n9293 55770\n66066 78029\n13669 64470\n74696 96938\n74461 95807\n6378 61563\n16554 57103\n49849 57759\n32891 73736\n59432 80533\n20870 32679\n8333 21518\n36938 88951\n5632 96342\n22106 52471\n72579 96441\n35316 58181\n41325 52156\n70355 97978\n61053 68509\n10602 22286\n73019 94649\n10770 84372\n60295 81250\n35822 47255\n18454 94337\n37625 45165\n37113 45133\n28463 80228\n22535 30888\n38867 58785\n36505 58796\n7761 48283\n82072 83961\n19901 31550\n14691 25698\n48338 51934\n13218 37123\n29395 35084\n28928 72529\n17849 47777\n86172 87542\n15640 22147\n8376 54598\n74634 82360\n15184 82668\n12856 29390\n51706 97896\n46587 64281\n55048 64345\n43075 81714\n19684 85247\n13478 37420\n5360 39777\n48760 82245\n41129 97110\n47137 62896\n1694 9035\n35081 69568\n17659 73619\n1293 73446\n47397 79973\n34142 82740\n61215 93142\n3257 39535\n67389 83805\n27049 77496\n50853 58994\n128 43798\n66040 82931\n40703 58215\n83967 84606\n94389 95218\n66774 92731\n37577 58792\n14315 36630\n50607 71762\n68231 69675\n23985 49431\n69819 72761\n7132 21569\n38823 61996\n51626 71434\n86855 88030\n15594 46156\n22115 96885\n15631 96065\n14641 98762\n66232 75845\n38089 94785\n3208 95353\n3314 76285\n48631 81901\n18026 57445\n15196 31597\n45193 78598\n20895 78001\n22407 42618\n71389 90193\n12365 64440\n21242 46348\n45170 51776\n76993 82764\n20228 27098\n32512 48453\n6846 73903\n94336 95474\n10671 14749\n4348 40801\n3113 9369\n77223 78859\n86243 88792\n2945 13912\n25383 38908\n42497 51640\n76630 81291\n16300 69553\n4513 50073\n43318 73760\n66035 90718\n31175 55150\n63220 97235\n40821 60715\n32355 41436\n24574 73334\n9529 84320\n17154 68884\n17146 69481\n36616 76968\n28967 43304\n46701 48733\n4995 11242\n62534 84741\n38352 39121\n48898 99849\n8191 94761\n19943 43680\n15569 24780\n76492 76530\n29243 92725\n24585 96738\n65059 68386\n40444 45959\n41323 92365\n51076 77638\n48121 96837\n40754 57192\n50680 58787\n11648 21547\n73551 94089\n73970 80502\n26602 28077\n58317 95645\n43137 82953\n13730 36407\n53212 91078\n29714 91370\n51675 58173\n37644 45638\n22471 85310\n9993 16780\n27577 84287\n956 66234\n62624 83285\n65056 83829\n61240 90249\n4241 25967\n74328 93276\n37527 63978\n43497 52582\n50155 77400\n82467 91207\n42577 51346\n36584 36661\n8759 18862\n58530 67961\n31807 37852\n55020 93319\n19799 46464\n19873 77041\n11309 58977\n18390 47206\n76921 95020\n49757 74977\n53477 60609\n40393 43499\n15828 67065\n85270 85615\n37958 39338\n10067 97719\n31536 40601\n11320 33818\n60590 75496\n46565 81580\n15686 76449\n32470 58905\n67924 93382\n2802 88733\n6971 63159\n47816 99073\n5842 95034\n677 77065\n3143 66614\n63275 91372\n78937 80980\n19861 38101\n70649 86521\n46742 67926\n62064 93414\n30112 43253\n2810 63711\n8835 55267\n43347 95973\n39594 93883\n15691 99594\n61021 96705\n6512 46684\n31920 46402\n44487 56718\n19439 59957\n69439 97576\n53107 84564\n10834 63463\n9508 38261\n4022 68823\n43704 80952\n11414 80673\n43406 93918\n405 78114\n15330 39216\n28058 38040\n17904 91759\n8695 79124\n43436 45302\n14349 82196\n13213 96529\n31096 95268\n15272 74191\n43907 61346\n13277 62215\n26740 99838\n80820 93318\n42246 60145\n39932 84671\n11053 41142\n29787 65959\n40942 40956\n26682 50675\n79460 96515\n23129 81455\n25089 99388\n33932 39808\n50608 54351\n76568 86522\n27959 30836\n39195 78381\n12977 33807\n17200 85112\n13827 51496\n58748 96166\n57583 68828\n46098 63059\n9313 42603\n58144 93451\n27908 82433\n22138 65929\n5388 36563\n5 12972\n40045 79198\n88738 94010\n3189 84473\n9315 50847\n41550 78480\n27373 46527\n58191 62855\n34377 40645\n41625 70784\n32218 71415\n9307 10917\n29935 55616\n14800 51889\n83361 92724\n40246 67262\n41074 64985\n1051 51678\n72263 92783\n44659 77301\n18875 85308\n11155 89518\n5532 56003\n54698 80236\n41933 56337\n25222 94562\n69617 78233\n58445 58669\n20673 69693\n19370 78939\n62161 69329\n28166 89042\n76208 99320\n43192 88043\n43277 66981\n666 62797\n16187 19606\n67668 71696\n28951 87785\n59270 94765\n35938 95676\n21558 36347\n47215 47805\n12652 83832\n31662 47482\n63290 79680\n676 22746\n32260 39096\n23378 71344\n19876 84275\n28040 50501\n86844 94348\n2314 89492\n50289 55760\n3941 6071\n71128 76949\n51336 72355\n6345 44880\n29467 67607\n51054 96186\n72072 87623\n48079 79287\n16343 54141\n25915 48238\n439 83586\n24971 34048\n40205 46661\n39629 71049\n77268 83149\n14984 85314\n74902 97791\n55123 75664\n41134 66762\n34333 42276\n67829 87590\n52975 91837\n22142 59112\n40821 80266\n14656 58020\n20029 93230\n33897 90773\n47583 97888\n45297 59075\n14620 24919\n37664 71965\n41211 78480\n10433 47453\n14368 65974\n11576 44321\n37926 84224\n13374 22780\n55603 86055\n9290 31871\n46568 47797\n63651 68650\n5565 80453\n80253 94108\n68453 99756\n17404 85188\n36199 92214\n48935 72266\n81501 88152\n48774 59018\n58916 87399\n7285 37568\n85592 86566\n92415 99688\n51948 71944\n13026 46919\n12121 61560\n79106 90313\n62310 94542\n14802 22399\n1124 93644\n42031 86636\n41506 71066\n34092 42426\n66647 93891\n36661 43723\n52269 61216\n3136 76596\n25885 54844\n28550 90936\n14716 17314\n68725 76003\n78337 86930\n25011 41453\n15565 49215\n2890 49823\n17026 78230\n55608 63812\n16233 51447\n56408 83398\n8199 16838\n37891 64300\n66610 79941\n27762 76291\n22093 40530\n21404 53976\n1475 52007\n60081 72454\n14147 63404\n20670 40291\n18941 98550\n24765 49616\n35579 98325\n3185 72299\n25554 85585\n60309 94582\n42541 59113\n45238 82354\n65284 95919\n3281 72082\n5382 96223\n56318 68872\n81279 89851\n34124 71032\n56963 63920\n38356 57858\n6152 85985\n15749 91945\n36452 89880\n62946 96414\n24327 41432\n83708 85450\n81170 90535\n52535 80496\n37978 97113\n19062 73585\n64275 84468\n22723 34305\n3400 77948\n5594 84337\n13140 71878\n6306 34622\n64468 89899\n29970 64054\n47303 58386\n19126 96033\n18045 79660\n14971 36594\n38587 97123\n45437 75022\n46509 94429\n26021 47284\n17123 25714\n7645 23352\n8750 16087\n33041 85926\n457 56785\n49790 92654\n3625 45317\n2371 4965\n31637 95636\n34964 43734\n32244 72777\n82473 83633\n6504 68620\n61587 80812\n37269 39226\n28367 28385\n4225 7538\n33879 83629\n61021 61050\n9289 73503\n10623 90661\n26959 36090\n50282 93595\n34577 60399\n28425 67886\n8907 65028\n5413 82907\n32675 63589\n25636 32564\n23083 53361\n69926 89551\n24171 93167\n62847 64261\n88981 91332\n1648 69939\n4983 89934\n32632 40160\n61763 68978\n82518 87795\n13846 43476\n31007 91170\n12796 21219\n11485 63563\n45675 80791\n1932 73981\n14950 91303\n72257 91875\n11345 54955\n25182 59742\n51134 75516\n5192 94099\n22700 31210\n26965 53128\n31288 35910\n30384 49982\n58840 90807\n50891 71077\n47662 79594\n9036 86818\n25122 27630\n82904 83199\n40100 78253\n18172 95447\n34031 58997\n45468 53870\n30981 62551\n63276 89796\n62 74555\n47219 78573\n47763 49857\n48213 98581\n65966 88041\n50618 92024\n60388 74058\n56956 81588\n20126 50715\n89132 93245\n33562 79461\n4502 46887\n12548 79297\n17337 45935\n2360 23216\n9941 68045\n51592 78781\n11369 74302\n54098 81610\n5639 97840\n21595 33914\n9255 67431\n59557 92331\n33950 52443\n82364 96883\n29148 92046\n34628 53255\n48083 65515\n32670 56295\n80937 82550\n2057 77360\n50034 85166\n18372 42260\n6301 77221\n9031 90671\n43805 48616\n38819 45212\n51560 58389\n46516 65850\n84224 86855\n36421 89677\n15296 57423\n21958 75795\n60149 65142\n82467 86430\n6287 24760\n24064 69741\n8825 78650\n4670 83449\n16270 91126\n77347 97895\n43105 45139\n26177 69322\n64996 71780\n41013 64920\n14818 74475\n32653 43359\n4963 73579\n28531 81747\n79443 87764\n15431 19058\n7620 42814\n16888 70601\n17387 61117\n44515 44608\n2621 17417\n57416 68690\n54200 99321\n32748 71349\n36160 53789\n1486 24678\n54064 72040\n19836 89104\n39862 54542\n52492 56703\n2640 12427\n2213 14911\n2890 33867\n45738 52981\n56862 63391\n8181 11639\n34004 36172\n1699 14090\n12834 49242\n30668 67990\n3815 32144\n17570 34320\n52710 65777\n64747 67662\n20330 59038\n68053 73379\n11165 97417\n21811 38712\n51434 79643\n11174 30583\n61196 98796\n76552 86882\n31485 64427\n27966 67001\n51563 65343\n19622 30256\n1963 69030\n17456 29124\n50486 82326\n41282 99081\n67073 85512\n18416 95285\n3950 25003\n7569 54747\n1112 39055\n565 3566\n25862 76010\n17480 67254\n17234 27264\n11949 36082\n44748 75721\n35490 42871\n49758 90440\n56768 58681\n37551 95956\n49924 88366\n7946 36726\n25352 77203\n22823 88819\n21139 30185\n9431 80764\n34720 57180\n18560 91092\n31896 91468\n33823 56870\n24142 80883\n26647 40296\n31631 61372\n56558 79432\n18729 66365\n14871 40745\n31791 95716\n23424 54513\n26335 53171\n46354 56559\n26182 56451\n11530 57241\n46747 92440\n5448 43251\n35035 90635\n62995 69570\n37966 76447\n40418 43015\n61821 76716\n10006 37569\n25571 86590\n32085 60007\n57798 92941\n54961 67921\n92329 93664\n17846 40567\n48852 50435\n8637 72098\n14279 40902\n17222 63214\n17366 72143\n31867 94625\n15049 22192\n77771 88209\n47057 68829\n15288 46788\n84872 87826\n36273 61213\n30705 54814\n9317 29635\n6216 52833\n86535 99450\n57391 95391\n87492 92199\n51486 63695\n37996 65417\n72137 80059\n541 99360\n84626 92752\n33088 98310\n78639 83676\n19032 75644\n32945 61655\n36020 76350\n47060 79727\n46943 62447\n51392 67708\n3387 52476\n41085 66801\n40068 42022\n11586 30576\n11190 25094\n74387 79385\n14124 18271\n43081 55126\n73277 95898\n12361 56512\n36005 78120\n69853 99296\n5786 73768\n418 4860\n40417 89980\n30362 51399\n47985 91790\n17988 25217\n11853 90030\n96992 97133\n2654 11517\n54701 90483\n43404 95789\n31965 77612\n57715 66381\n40486 51107\n46316 85319\n65499 90322\n3881 55951\n35510 78964\n64456 72876\n21556 43391\n16739 18366\n125 42579\n2442 8278\n12792 33549\n55921 83759\n65118 85517\n16763 85529\n46364 98244\n22953 76932\n56554 73432\n32237 89139\n23441 50367\n54122 68352\n52954 96756\n29413 83946\n11968 77930\n22121 63140\n55190 91100\n16514 33524\n15431 63347\n12415 96012\n41839 44249\n24808 79508\n37811 53478\n23163 86313\n38510 83105\n16823 84923\n40455 90486\n53153 77915\n20141 25713\n8236 62925\n3676 9383\n52074 96228\n74369 97628\n14166 90556\n2059 62101\n28838 68350\n42395 69233\n25832 43586\n24175 31583\n41991 76668\n40286 76869\n63102 67419\n7980 40994\n19667 42191\n467 44061\n21437 76318\n30120 43224\n1097 68959\n5075 14178\n69418 74789\n42576 82640\n49637 70057\n33304 61927\n8747 20996\n68858 74044\n68615 69011\n10855 84966\n34749 96528\n6567 56311\n19178 52837\n27919 97799\n19823 96163\n57131 96933\n50255 88332\n9736 39556\n19127 22010\n73221 98513\n26706 50292\n382 1298\n93057 96041\n8827 88022\n28502 88969\n59952 83595\n67111 91467\n48345 93436\n53954 64397\n1021 29987\n10544 49393\n180 84308\n16286 25456\n75949 96573\n54620 65667\n8604 80297\n55951 89090\n62779 86979\n7018 81263\n1423 23355\n81843 86587\n51926 84233\n5423 12043\n13648 79442\n22321 66407\n667 85102\n39137 89945\n14466 61664\n30061 49369\n8520 67177\n79400 82430\n47598 55215\n33826 66607\n21289 88011\n62740 77883\n10379 45947\n22091 64000\n41342 56985\n2003 97024\n59934 96929\n67959 84185\n37258 51784\n16730 76125\n66705 93296\n77582 93243\n41410 43235\n64106 80622\n42472 85601\n57554 69314\n51288 71687\n22382 24764\n28059 54963\n15342 91631\n31871 71462\n37998 55928\n84185 97422\n39613 67151\n45044 85750\n30324 64657\n41007 53153\n10086 19436\n19443 61146\n46210 80070\n36632 49663\n20826 36529\n96525 98993\n11651 86613\n33699 73516\n33433 90064\n37079 48269\n15134 24473\n84094 89804\n62249 76066\n2761 87708\n46259 61812\n22750 24018\n8905 51270\n9214 52282\n26299 65884\n63883 95336\n23581 58622\n34257 66606\n18335 68580\n15163 40837\n19243 57466\n10014 69898\n23225 66125\n6112 7351\n20547 20742\n9205 40122\n9099 84329\n8968 75243\n70139 83729\n13894 53581\n7124 28507\n18406 97517\n26522 32063\n35107 53724\n19359 99040\n23919 77960\n23133 53982\n59350 62902\n12719 71067\n26569 98286\n19651 80559\n15089 92156\n23398 30496\n38096 44552\n30848 43434\n26141 89797\n62639 67267\n77647 78485\n21451 49935\n18254 29670\n22618 96144\n41455 56259\n29689 62437\n665 93717\n65773 90122\n9643 92076\n32637 33709\n57875 98383\n19155 70908\n28739 66642\n64158 88171\n3600 36499\n2129 35496\n9462 34093\n21247 68717\n1550 87270\n41943 72427\n50015 70025\n6509 30811\n5729 82918\n18617 48202\n14437 41684\n70779 85630\n25445 47823\n16094 87853\n95415 99867\n89666 90870\n17442 74373\n30373 86654\n73036 79952\n1702 48595\n10749 11884\n68907 87555\n1215 65512\n9166 55530\n16792 50701\n39527 51396\n69793 99266\n40267 54299\n66398 94427\n42194 82651\n10168 58474\n12609 43583\n15449 81488\n21626 55575\n33471 67173\n45140 61709\n22067 91357\n79560 84526\n20993 67894\n54371 58782\n34385 76985\n37908 56467\n44495 55168\n50054 95433\n25648 98510\n10755 73864\n82730 94024\n35957 80800\n18530 20033\n76738 77867\n7842 70805\n9939 92491\n85513 92515\n94838 99795\n70390 93027\n70968 85329\n22605 57725\n11427 87004\n28460 33484\n4089 23847\n9145 60614\n3272 56904\n5856 80985\n12276 76625\n46633 47565\n6864 44138\n5418 39146\n49587 92515\n10437 80516\n51311 82716\n7592 70168\n26358 61592\n16507 17059\n2661 67092\n26238 81957\n51691 58716\n23695 45968\n29359 38300\n87034 96227\n23281 84812\n46444 65752\n13695 63140\n34078 49912\n46514 91229\n82711 90632\n40114 91381\n49693 56165\n1 31411\n39083 80401\n39208 39276\n34026 62637\n10198 37412\n14159 33910\n56267 90530\n47138 51041\n48133 72632\n16690 43315\n10944 15090\n52089 95450\n19066 89256\n20851 81713\n1738 25288\n76557 95468\n28603 71544\n8295 55741\n56422 62686\n60596 76657\n2064 28979\n10353 69877\n27164 75650\n62966 64794\n71603 79682\n62767 96695\n34711 66136\n65258 86283\n369 65994\n31428 44475\n351 92464\n35284 64691\n25563 98994\n13355 61376\n8786 38303\n45036 75349\n3989 55020\n42617 61601\n51368 53277\n65797 79518\n5952 16027\n31430 48003\n22766 30951\n16066 43546\n13594 25045\n26705 81367\n23437 59905\n19987 22685\n76479 99957\n29272 84263\n43279 58372\n68872 74629\n33043 75262\n62986 78197\n39962 76284\n8139 59163\n15211 50561\n15095 15655\n12118 61482\n72162 97653\n25433 79491\n4448 46821\n24627 66727\n14201 35337\n57072 57486\n38459 53346\n18718 66785\n58827 69042\n24176 86443\n1700 88658\n21551 37312\n24288 43239\n20027 32899\n28845 56764\n50152 60113\n53222 90368\n39171 94956\n42722 66533\n21758 63401\n43040 63578\n5745 68089\n66890 82772\n39982 93637\n41962 97385\n8790 48133\n21455 67693\n3962 19912\n78148 89348\n55202 79254\n39687 69981\n25927 65314\n58087 87672\n83353 99187\n18972 80264\n18574 93502\n9976 77446\n10027 81135\n62203 83019\n47832 84319\n47499 53386\n71243 86962\n6310 75780\n60329 71271\n90850 96776\n9322 23489\n23404 33306\n44820 69939\n31003 65100\n4923 38896\n60301 68534\n2352 28488\n18623 65539\n20741 32294\n2695 72742\n14818 48538\n70968 94958\n15404 30627\n91187 94839\n41856 97755\n90665 93333\n10890 68030\n25955 33852\n6011 77712\n14369 76596\n23810 86372\n6907 55968\n29506 70142\n25900 38819\n78314 88262\n52494 81878\n16496 39135\n35972 36080\n21782 68210\n32065 50250\n11858 44968\n24756 54870\n5214 63860\n37672 48578\n20150 77058\n24736 28509\n19911 25076\n68481 96214\n29375 50294\n76966 87121\n19768 38767\n59292 98974\n38739 43935\n21884 26060\n17100 30502\n28230 68150\n5428 69580\n17344 82885\n51821 70568\n22655 42114\n12673 43330\n85772 99558\n47288 72007\n7590 20898\n18059 62041\n11271 55012\n27776 27925\n67565 85272\n21320 42464\n6654 67232\n21717 22582\n69094 95959\n42290 59039\n70724 83799\n48089 49071\n6440 66480\n58857 83822\n45124 75953\n57817 74700\n14040 86086\n67109 96417\n6924 17911\n50817 98597\n36436 65896\n21149 29397\n20899 37992\n42075 59053\n63392 65757\n43288 93866\n43157 66707\n61857 81110\n10540 81143\n6736 26599\n58593 63634\n18148 92063\n10741 98614\n17789 91519\n88064 91575\n10088 66188\n15798 31994\n44720 93186\n47735 61375\n74782 77324\n12041 16880\n39300 85758\n57949 90265\n12101 89514\n83708 99579\n20980 33849\n70689 87337\n17557 72377\n4710 10205\n44780 61924\n55529 76388\n20399 45052\n6438 56726\n62136 85357\n43059 82877\n49233 87098\n38069 93243\n39712 69754\n40329 89242\n69976 77219\n47465 56131\n84669 96546\n57669 64994\n22000 96696\n41340 46896\n9582 21687\n31995 58896\n65775 76603\n25766 97564\n30081 59921\n23384 38949\n47753 66439\n34727 74837\n56003 92334\n9539 92625\n57398 68783\n7040 95246\n23101 23702\n16215 78212\n45706 92602\n11739 36734\n2589 4169\n28884 33667\n98192 99551\n48162 89437\n11823 62255\n19162 97888\n43187 57898\n265 69866\n41654 77528\n20971 36493\n20226 61259\n14639 61477\n30870 78140\n40890 50156\n2944 35074\n27078 62906\n44555 86990\n40892 53577\n46157 68797\n55 60505\n15205 47260\n4400 57500\n32739 65340\n22943 64926\n52592 67833\n85809 98831\n38739 86684\n31153 61850\n684 39679\n7839 75823\n31878 35436\n48796 81889\n11284 29083\n15960 17351\n55106 92727\n40945 60695\n2113 89523\n14899 37041\n2333 57859\n5625 68597\n15004 99162\n50351 51467\n7717 69351\n47799 48666\n43574 92650\n33807 48464\n11179 36687\n40037 55517\n44251 45806\n3024 22766\n22477 43577\n19089 35132\n8381 61820\n53539 63702\n2732 8975\n39656 72967\n9511 31444\n26976 69371\n41704 50766\n72519 84554\n23921 84524\n42816 43054\n47876 81132\n11991 26975\n13702 65559\n32442 80672\n27171 40657\n41141 51249\n59051 64571\n28797 47681\n66274 69416\n22981 56786\n15380 73114\n44433 53676\n18738 92323\n18322 36238\n34597 90033\n44652 84324\n23833 53677\n66454 70343\n55470 92623\n1985 58859\n20989 71904\n25966 58076\n69813 83188\n18723 22974\n1841 63978\n15266 53969\n5657 68254\n4016 17441\n49164 70443\n24580 38179\n22149 56744\n25339 65951\n7421 14506\n37605 97336\n12539 94730\n42888 51159\n19676 95791\n24439 45331\n69032 75014\n7128 54694\n57062 78915\n35395 39118\n19604 95737\n36768 50797\n54481 71328\n29122 29382\n34933 62042\n3527 99421\n10597 84625\n6623 66821\n20524 44002\n24141 44691\n53322 80286\n38454 80859\n16264 38902\n75361 99598\n6879 19305\n492 79668\n46246 75425\n31656 98553\n27519 88598\n14618 21316\n21835 28223\n69659 73918\n33873 80274\n3911 55056\n20860 56102\n41846 81319\n44291 93211\n30282 70098\n21452 89513\n8754 97686\n37423 71397\n29176 55446\n22924 30093\n38685 91823\n17658 32529\n4060 65099\n18440 71976\n10834 81863\n24559 74113\n17097 27866\n12687 78735\n45282 49021\n18436 90107\n33671 86444\n78478 98470\n8136 36817\n30918 40412\n28900 79842\n11501 81110\n16560 21350\n63591 66922\n59402 66654\n92894 95406\n21658 46583\n60875 81372\n46088 49859\n550 99084\n707 93828\n6979 11211\n31361 54553\n11787 59264\n36756 40993\n20725 87372\n25448 49626\n38713 42553\n17556 64213\n313 11856\n31333 68548\n5579 77036\n23465 23971\n4505 37763\n82528 96727\n62722 83759\n7431 93126\n44267 93472\n56395 82954\n5648 58412\n52753 73026\n74562 87610\n35092 53408\n6330 27122\n27002 73064\n66165 85049\n22429 46209\n76922 89435\n61838 89042\n10809 61716\n9354 59600\n10023 86828\n1911 55275\n40081 81659\n991 57519\n53948 98975\n40968 76913\n49460 91217\n7313 50998\n49264 70939\n45606 83397\n36725 63050\n38224 88813\n24500 94817\n12402 53411\n74017 95223\n28961 99388\n16689 44047\n71526 77481\n28105 88949\n25755 32581\n74854 88218\n24418 82629\n26398 84095\n5709 28442\n2026 95948\n730 97925\n34238 72665\n20787 69529\n6503 85162\n29902 49908\n37461 45124\n19537 62848\n77412 88882\n34730 53488\n12120 69050\n64941 77385\n6120 8334\n18633 28135\n42079 58754\n11168 92656\n12375 84897\n24567 26283\n15109 79184\n18338 71238\n30612 66479\n9671 71664\n73053 76218\n13912 98355\n3620 10131\n34993 78948\n29413 54167\n52013 79928\n23478 76793\n16184 50006\n18298 37562\n13896 63778\n16151 21300\n389 22698\n21494 50350\n10353 46157\n38497 46792\n13968 43166\n89858 98947\n47943 73246\n2481 19721\n63443 75667\n66735 98950\n85923 92202\n14959 87614\n41654 65674\n17317 22659\n71471 81303\n79432 96115\n50505 69391\n14811 75184\n2839 12681\n42165 58339\n33456 34756\n12875 49283\n15912 37484\n35235 61018\n19759 44094\n62731 76835\n26410 89338\n10983 41689\n11274 94624\n34372 88831\n76156 86473\n3266 87106\n6543 77291\n81339 94249\n29341 71385\n35427 39013\n93880 94687\n19923 54293\n3551 38922\n77976 92793\n1311 97807\n6521 75720\n43909 60482\n3249 35923\n17536 91711\n36342 64016\n560 10197\n59228 71272\n28447 63265\n85271 96346\n37156 39918\n33090 40496\n5661 63442\n19661 41119\n18562 25387\n21319 71517\n38392 44044\n12122 58072\n60959 69022\n19569 74966\n14899 86258\n2313 34255\n17019 21678\n20811 40154\n45762 85184\n32022 34847\n58157 93618\n49083 98692\n50367 83404\n16936 68441\n75673 90390\n50799 80569\n28094 94273\n36204 93445\n22679 52731\n5807 92108\n4407 36909\n22852 73872\n73853 87412\n30557 80359\n29656 52817\n63133 64940\n42257 66138\n39684 44583\n68233 81906\n26009 70923\n35193 56414\n10439 57634\n18960 33971\n3140 81083\n284 2213\n50825 74822\n28083 87705\n84930 86316\n68876 76610\n28736 64363\n94602 98727\n36953 37525\n32259 76075\n55479 72332\n40508 75829\n23806 82214\n35657 36437\n22771 65661\n34425 48837\n4580 98023\n346 23315\n14547 19107\n78718 94750\n37898 66931\n20004 33616\n23301 93949\n814 77775\n41774 89857\n38485 52156\n70471 97528\n11414 35614\n7511 65241\n650 69177\n9557 23207\n28998 55374\n57012 80052\n33063 68711\n16486 73924\n84452 99664\n45687 57614\n61512 99132\n15012 44078\n7330 72431\n24579 51370\n29130 82230\n7510 18606\n41212 67225\n51609 98178\n17399 49134\n33083 66866\n49928 56049\n41218 43640\n18249 50151\n59680 83033\n47646 60807\n4909 10914\n14527 51145\n75766 92788\n30182 85709\n21014 57778\n6783 21090\n83278 90435\n8965 84049\n36558 73636\n6903 10213\n54607 82252\n63053 79878\n51535 68790\n20605 93704\n78389 84385\n90678 99615\n45 65831\n72646 77370\n27053 37890\n22609 82274\n14397 41967\n10727 22545\n16848 97012\n14032 40303\n17366 29109\n30474 68622\n35227 43779\n5042 6209\n51991 97635\n37643 59864\n46062 54638\n5023 66370\n69012 78879\n8073 30888\n58224 75766\n8504 30989\n53450 54260\n79374 95880\n35035 70302\n54075 68610\n37939 82599\n25177 44014\n42765 93707\n72459 76506\n45473 66699\n61471 86155\n2530 54888\n56205 58274\n64371 81478\n71123 94305\n6625 32759\n43031 92961\n7153 57803\n11045 15045\n27461 93602\n75081 82491\n17146 72822\n79735 80180\n46423 97614\n10378 16666\n7547 69238\n6272 38672\n43819 74495\n58700 82721\n27069 38353\n34463 57071\n3635 38992\n55854 82947\n8870 77668\n50474 67575\n58426 60035\n37286 68637\n9218 23084\n37961 91756\n49485 69423\n47502 81060\n34958 93714\n19220 22182\n5759 73891\n47905 60003\n26430 28169\n14825 21580\n11178 42298\n4990 71932\n4427 4854\n20752 87758\n14392 38782\n2518 30630\n21880 67135\n40915 49460\n70075 82351\n22615 88296\n71906 84159\n75998 81431\n20640 33591\n53797 82338\n64450 86525\n43459 75077\n13914 30725\n3542 99218\n47014 95393\n18028 33863\n31529 86159\n36324 64109\n36803 82103\n62017 88097\n38466 58676\n55939 88669\n39238 43433\n2027 54154\n19545 88581\n18414 35733\n2880 35815\n11354 17753\n63645 89794\n874 73541\n14379 34457\n29740 77425\n13477 45310\n54598 69623\n35332 63739\n68616 76947\n40244 42863\n49868 77402\n16357 69001\n37154 51227\n444 57536\n36885 49987\n60238 80991\n57738 61680\n86544 87473\n45246 66508\n19176 36427\n65712 87251\n26861 53273\n2696 15205\n90397 95620\n50898 60469\n34574 60843\n14996 69174\n10552 63484\n60906 99537\n12190 65146\n2195 40977\n62801 99980\n24960 51856\n46234 67223\n16663 97637\n68754 82433\n46972 59323\n20007 28123\n62772 90232\n54073 84201\n73106 81144\n30423 90343\n23546 29598\n62225 81365\n24100 48708\n9493 59193\n6322 96838\n1334 17236\n60748 83622\n8365 86967\n20428 67841\n37525 39993\n27691 93041\n16878 28371\n65197 80137\n33945 36598\n34715 50773\n6330 92823\n13606 54627\n42834 54376\n31960 52277\n57919 77885\n42201 42219\n71286 75914\n18008 51130\n50026 66836\n18856 87491\n21570 61922\n32799 39777\n11346 51226\n65532 70816\n36142 76852\n61743 90747\n29351 98186\n14232 51609\n63117 85728\n22469 77061\n4515 45879\n7275 14686\n20272 39119\n41650 94494\n6176 41223\n58972 60393\n49756 62549\n28037 63380\n3638 38674\n45557 68795\n19821 24202\n28934 82724\n62133 78676\n43006 83524\n78126 90714\n1931 33816\n67982 98562\n66530 86214\n18069 87592\n72243 81840\n7696 13986\n30642 34893\n22903 93495\n38099 73746\n89502 94887\n81951 97700\n55368 73682\n32840 87898\n82717 95524\n12240 68888\n2066 43218\n23043 73345\n9361 25990\n72516 74972\n16880 29567\n10176 38087\n14644 97774\n41488 96968\n49975 61344\n40603 50931\n71950 76331\n24826 57692\n15806 59997\n47660 55843\n13031 65803\n6792 68763\n78588 97307\n64892 99770\n78055 86167\n42764 99746\n10925 40847\n17435 89848\n46287 66256\n41557 62231\n4977 85954\n7186 69351\n72748 77441\n12926 95786\n1334 23346\n59090 94854\n68311 72641\n57949 65787\n41974 48870\n23647 30142\n18650 55979\n47473 95836\n20771 22190\n2299 24571\n4033 68948\n41636 89128\n12795 71791\n49930 75041\n27587 79493\n321 84101\n38924 72718\n8149 65767\n24022 80553\n16714 64294\n26580 58595\n59574 62788\n159 53569\n56683 87404\n14 96764\n52958 69194\n62867 94166\n25731 51739\n42750 65525\n17734 99128\n34444 87659\n17018 76175\n13652 20345\n48666 77549\n33841 88906\n442 31767\n59751 75874\n23116 28249\n19300 50690\n47913 81210\n30681 34045\n37833 92570\n49264 51141\n46374 65081\n4985 74082\n69241 81142\n3911 5718\n68646 95741\n871 98547\n8508 74904\n15754 91671\n23016 52298\n44586 65994\n55427 58660\n16782 81322\n84564 99259\n56502 84042\n60544 94509\n31401 51811\n546 56351\n25096 56350\n7266 42145\n35083 72960\n33475 52791\n28605 35946\n2838 3469\n10247 48759\n647 2008\n30526 98611\n67052 89661\n29515 84484\n39212 88615\n63445 71374\n7783 12382\n25623 67865\n64007 96006\n3128 66305\n64248 92455\n80915 98412\n40105 54686\n12040 90846\n14607 87490\n3081 40231\n25563 29468\n49814 76213\n13917 76265\n87984 88295\n63867 79395\n23085 36971\n26422 46991\n32155 86773\n3366 90950\n53997 95890\n14667 32803\n62653 97369\n7885 87112\n4884 26257\n22874 23839\n83151 85365\n19480 35227\n6700 17109\n52907 89626\n26083 94568\n71685 76878\n47560 76505\n39399 40542\n52278 75654\n16873 72764\n25377 31833\n82844 97063\n54474 83725\n11934 82076\n39743 49077\n36913 50147\n25576 26507\n50630 77493\n25084 55772\n59431 64558\n13054 22379\n45840 62201\n21558 72414\n3387 61054\n25605 96090\n63777 69559\n19063 54928\n18643 63200\n28539 56608\n69074 92228\n10981 91459\n14832 90063\n44641 48837\n58245 88494\n27164 35772\n4739 61696\n21091 29968\n2710 15541\n8798 54576\n29873 74724\n87490 94134\n33008 48577\n9832 83119\n86594 86801\n33427 56134\n12087 37851\n27412 91202\n16582 32153\n78304 95419\n53893 63570\n3135 98477\n9616 93064\n12148 60898\n90121 96145\n54161 93642\n45424 75918\n7247 44804\n53709 93481\n15477 88535\n22232 93561\n11450 87560\n10528 91061\n29028 82904\n38183 48935\n60710 62661\n19764 20079\n71735 87724\n35181 59267\n66187 82242\n8135 16286\n14275 71139\n13868 37911\n11157 55502\n20301 62111\n7314 38389\n73806 93389\n9929 34654\n69564 80908\n18155 29481\n59199 95291\n21400 92860\n31517 33796\n83373 89107\n28247 29449\n57996 87185\n14254 91396\n25248 94149\n2550 26755\n60379 70263\n22337 67878\n12818 13180\n65545 97059\n39569 82592\n15216 39132\n21459 57326\n69053 91843\n28709 28912\n18156 25692\n18931 69407\n49812 83645\n29313 87944\n12853 82701\n34021 72502\n73989 79302\n19610 55696\n52346 88267\n29387 47324\n8197 97215\n1724 52154\n24715 73519\n11314 11854\n65046 79342\n53091 74589\n27772 33107\n8097 24390\n4325 77374\n35176 79580\n55225 57125\n45976 85434\n82700 90772\n14703 74308\n21996 60326\n55494 59105\n37347 85721\n30043 74905\n10665 23960\n36053 68301\n54702 63766\n63091 74779\n34785 80502\n9437 45380\n44103 53735\n4692 23497\n9849 98434\n62248 86389\n20312 37441\n7661 32712\n384 18038\n54891 87340\n1343 33705\n58404 99754\n7171 16190\n55350 89149\n34731 96548\n70099 83351\n26651 95056\n25281 86212\n53122 61792\n25798 96281\n74050 95838\n393 75269\n2803 71366\n11681 79653\n7171 53188\n12533 99395\n19669 74768\n45462 50626\n15393 20945\n78571 86749\n7770 31148\n8793 26464\n15283 60441\n14400 60578\n36759 43342\n35360 46855\n11749 57221\n50226 86552\n47340 78840\n54547 96983\n42253 58707\n23214 84418\n16179 53319\n25777 85770\n1725 63809\n61848 66673\n1409 43788\n20406 24074\n3386 98780\n18768 56832\n42036 70812\n63929 96875\n71810 73420\n6439 84620\n25773 59045\n30929 96088\n14361 56882\n10251 30563\n65681 99640\n26016 71110\n22978 93238\n61614 82126\n27372 74916\n39050 80556\n23481 38162\n4846 34648\n9799 79358\n32184 86490\n34290 41650\n35072 96484\n38873 95386\n11150 75315\n71907 75181\n50235 94817\n1252 82180\n50897 62529\n2039 68995\n68058 82387\n6162 35704\n8250 70166\n485 62224\n32006 84018\n51654 94544\n30496 62641\n28616 48308\n38709 49671\n76195 99402\n39108 79440\n49958 99645\n9009 16596\n18728 43959\n74668 78612\n42544 78224\n10842 86203\n22323 73255\n894 68343\n51185 54016\n19961 56037\n12294 53197\n15777 16098\n66021 77128\n25886 96291\n49775 50426\n59778 96735\n4893 91104\n65367 87043\n36896 43245\n26424 83863\n49613 78581\n1416 16018\n53129 94986\n10072 40235\n2077 82647\n19016 19584\n119 95345\n9101 97257\n70801 83294\n3101 82518\n42155 47410\n36974 89952\n32303 92551\n22772 54467\n22458 50795\n8589 61652\n24266 30956\n15661 67849\n37300 94603\n15341 85972\n12595 66913\n40976 84903\n53425 94510\n70261 88926\n63422 91538\n28227 77619\n70707 95332\n80139 97205\n7440 15163\n6138 68074\n63064 69525\n72774 86108\n16329 27763\n22630 95917\n68975 89233\n5253 22563\n23305 60337\n46430 75602\n54743 78707\n20137 81282\n64484 76716\n74197 80422\n84304 96060\n36265 44562\n88601 94425\n2334 4498\n47825 98182\n6073 33189\n50013 66516\n55192 97712\n150 49775\n49614 55449\n76137 99380\n3515 43141\n6841 47400\n26782 56473\n50218 57047\n27066 33858\n18717 79213\n20342 72830\n21693 68354\n3183 58857\n18036 54373\n91547 92021\n18000 29180\n36699 99310\n58648 86399\n51764 62380\n35113 53897\n6422 24301\n17124 68357\n95114 98336\n8940 59073\n508 19520\n68658 77825\n30359 97732\n41921 42956\n830 37728\n31258 93313\n40423 65908\n8961 16515\n55960 96814\n46226 55405\n44965 73788\n27053 27177\n77315 78719\n51048 57860\n55745 76137\n70835 77000\n18931 96609\n18757 46962\n26055 43886\n6823 14238\n26038 54827\n69226 76532\n70574 81440\n39452 55167\n41751 77000\n73652 92219\n10946 79324\n16339 57195\n81952 92444\n83662 93906\n74106 95198\n28684 45628\n44406 75042\n51091 99487\n11008 54926\n5462 90345\n39530 49923\n56595 70800\n51556 85077\n31738 39307\n8675 64226\n28668 42052\n54012 63793\n42156 74470\n5230 34835\n34331 58270\n90392 97513\n52788 72670\n13857 20978\n8469 67833\n57159 67110\n47786 98879\n9027 97622\n131 37553\n90339 95700\n29457 76384\n15547 77570\n11092 59972\n58050 70878\n84910 94360\n4440 29219\n69817 74535\n41618 90603\n2431 10716\n44468 78220\n39265 90641\n42341 78908\n22521 94745\n6534 27017\n39005 61895\n46070 62699\n79040 85425\n23970 57354\n69695 91632\n46564 83765\n10999 50595\n18439 98482\n12846 76181\n4115 41549\n54651 69471\n52837 67931\n67143 85093\n11988 22715\n55769 89279\n44050 53127\n876 60705\n23515 78881\n85875 92397\n35916 97763\n10010 94510\n6498 87389\n12978 65770\n10515 72416\n55215 95501\n28453 38726\n15924 21091\n19066 71720\n9670 67366\n46720 57602\n10279 14367\n56638 78790\n36937 82326\n40094 80234\n34685 73284\n42936 68658\n52749 62126\n831 36494\n34012 86545\n27357 93395\n16109 40719\n13835 25787\n42711 85110\n48148 94518\n24211 90506\n41857 75177\n6887 58583\n14632 32281\n29295 89171\n26017 73175\n22272 60424\n41946 97945\n15467 89926\n821 76646\n3890 23823\n31372 97056\n74989 85989\n3908 87894\n75406 76434\n35828 55716\n18891 57318\n61120 69808\n50349 92192\n50608 52684\n11217 90198\n196 67933\n4407 99893\n64198 99017\n1095 86634\n27865 71703\n7006 61369\n4917 60354\n68815 94634\n25002 71631\n43289 46590\n9350 45788\n24947 81690\n44158 59830\n49923 74053\n55837 67488\n71371 82155\n33399 71474\n3521 66434\n522 50234\n18098 64104\n37803 94402\n14112 23663\n29680 31458\n21448 34325\n18476 47367\n39791 75643\n19247 46887\n4987 96457\n7312 17602\n22962 39025\n228 28099\n23846 33596\n1772 93415\n3852 80839\n60096 62260\n9028 76133\n21250 66978\n22821 24148\n68067 80680\n63153 86558\n3187 68636\n1621 21337\n42392 77786\n64977 80581\n71281 73046\n52103 57681\n68713 71393\n75488 85704\n5165 47303\n33732 57109\n12802 43790\n52079 74411\n16443 86885\n63786 81241\n88431 91786\n13208 16162\n24920 98267\n27371 61046\n19009 61132\n6838 90370\n11312 75997\n1279 44523\n38765 48619\n45177 68240\n63599 87263\n5794 10158\n24185 64001\n19001 45900\n84181 93428\n33363 89568\n30194 82274\n28945 86068\n74751 89460\n18834 22572\n14252 26981\n48404 76320\n26461 39015\n41051 49949\n42175 50387\n17651 88928\n45014 52415\n47351 92716\n78766 82964\n31899 63366\n21328 71462\n15244 73753\n30901 56551\n57926 82639\n48044 80262\n11816 91871\n486 34647\n45257 76513\n35012 61118\n60318 92617\n37606 43305\n76148 80144\n15253 38010\n43919 89022\n43789 50698\n30032 85352\n26086 31871\n26389 26908\n8772 21827\n74488 85553\n2279 48403\n11094 30844\n28213 34860\n3531 24791\n30351 88648\n18329 49277\n20172 73084\n14055 79840\n31169 91364\n52028 85226\n10411 87160\n48329 77293\n6710 58580\n54753 66153\n31449 82375\n74370 98891\n23981 81251\n32240 46437\n19810 46611\n28488 57967\n18418 75191\n50424 94033\n37852 92873\n39503 65925\n2587 9752\n34000 94980\n21123 46046\n36196 82235\n13852 36251\n76964 97296\n45062 98655\n68713 97199\n10419 36970\n55183 71111\n63187 74817\n4270 45621\n54645 92817\n12635 91365\n56820 72314\n79978 85571\n44206 93396\n36967 97356\n35854 43030\n15038 24382\n375 37961\n1462 95518\n14014 82345\n5645 90710\n28308 53233\n17798 64379\n26457 42076\n57214 96761\n82225 93791\n4257 86120\n3694 70590\n68482 85596\n3626 10565\n6859 73054\n15474 22218\n29986 91884\n22002 64104\n70831 97946\n81314 97925\n40735 95968\n24315 80958\n13590 47124\n71865 79532\n12435 41947\n6574 96384\n5665 10719\n52959 97629\n10213 88482\n8205 27141\n4363 99240\n14776 67931\n15475 99341\n3172 91480\n38275 82756\n3250 78576\n31605 58332\n8518 43183\n80268 96656\n12781 44780\n1785 99576\n35391 48517\n3249 35359\n81045 96083\n916 38749\n64000 65707\n8870 92152\n53009 56190\n64403 97067\n63177 92322\n58491 66872\n46300 78384\n30907 72934\n39127 59354\n2162 46862\n40835 57585\n2717 97218\n5978 87523\n6140 36013\n24408 77203\n73838 96811\n49281 82109\n52422 80847\n60669 93419\n9091 58804\n12295 75317\n95811 99754\n4865 57064\n13687 57130\n2134 4191\n1389 35938\n59577 73655\n26955 34384\n79335 91381\n7122 30540\n62511 79144\n17090 59159\n38226 61771\n69256 92555\n46947 63344\n24550 72601\n45973 87374\n78158 99954\n49035 69559\n4115 58195\n12430 58849\n79397 91412\n27400 56176\n62082 63172\n66267 88175\n124 91948\n49710 93137\n9034 69972\n63693 98739\n39947 41386\n68246 88173\n51173 94113\n89404 95779\n36003 77402\n11399 58018\n24816 56332\n41748 57615\n34551 45909\n12547 90945\n3471 54754\n48027 72180\n56734 65992\n40259 96374\n42032 99000\n55749 86288\n12746 22570\n1071 53909\n17591 90956\n17955 30210\n73560 91076\n55881 78734\n39663 81921\n14722 23349\n15939 80149\n11403 25858\n27608 74491\n11897 70682\n3248 36926\n73072 84234\n50126 91887\n24604 41312\n39857 79782\n8406 57291\n31621 46452\n12516 15342\n87517 89904\n29131 69353\n17151 74199\n48185 59272\n33885 91402\n12549 28346\n43374 95773\n69986 74997\n19262 65920\n11494 57504\n46125 76375\n5681 75228\n27211 51905\n56129 72693\n55486 69230\n44945 93114\n28176 74045\n30058 87660\n44317 75795\n17181 74707\n46232 62590\n18909 44698\n75530 85875\n48031 90438\n40588 93346\n5343 56296\n48170 52548\n4657 67090\n24841 84125\n81019 81218\n78525 95235\n45117 61118\n16358 55449\n31322 85478\n20273 50009\n33226 56589\n81166 87983\n2804 40591\n28490 31437\n3602 23780\n67263 70811\n22640 95404\n26661 26708\n26824 29282\n587 56130\n14871 40543\n16661 34391\n41837 80677\n14070 90347\n34480 67072\n6659 83760\n44171 88705\n35656 91028\n29298 42197\n2563 39296\n6232 16172\n10387 60519\n37638 79274\n19964 82695\n24146 56853\n76067 77291\n19390 86687\n9938 48430\n18976 32382\n364 34526\n8294 61775\n49493 88216\n47344 59264\n680 3168\n92804 96625\n44118 70307\n87694 93538\n9807 49896\n20368 60700\n20427 71800\n780 53867\n336 62358\n75725 87922\n55170 94842\n14002 15040\n25234 68899\n71269 80206\n14799 91657\n59212 86579\n1505 78901\n61713 89071\n31494 53798\n69807 80800\n28477 32626\n21526 22976\n66570 78699\n30057 75726\n16471 60386\n50831 61579\n41518 85025\n4509 70920\n28415 78429\n30766 79004\n45450 70026\n9870 58568\n79135 93385\n33967 81748\n75019 82651\n54771 76422\n22125 69956\n17410 66060\n26956 98919\n31655 47515\n2826 73692\n39373 58711\n45936 69147\n21081 68088\n42670 69187\n859 18986\n18386 86217\n28406 93969\n12470 44020\n46279 68264\n40033 65036\n6441 78127\n23426 90070\n33406 44947\n8136 41368\n6862 18672\n54223 54775\n82176 83129\n11007 41767\n27898 65337\n2082 22326\n29109 58752\n14071 22664\n46515 96456\n88626 89276\n35469 71715\n12778 17582\n18633 60233\n15877 95357\n22265 52259\n6106 56174\n10203 21294\n26463 61782\n1188 27748\n52026 79580\n3179 53326\n39775 90505\n38862 94041\n869 89863\n63368 96205\n64317 72574\n30534 56703\n6175 23136\n42679 71124\n33124 52433\n1078 53403\n46186 73435\n24368 89767\n13782 55329\n55285 97670\n71390 87487\n24909 53225\n64697 73747\n28821 63558\n2936 60947\n27377 86460\n43364 57595\n66525 74168\n53374 61378\n56591 86485\n2014 70218\n34432 93385\n7307 43880\n80547 97850\n33909 65906\n64248 79919\n4762 86300\n19152 99941\n6802 46818\n38958 77569\n67931 78360\n59759 76081\n78058 98721\n40034 63513\n17283 41850\n15666 71251\n41666 72206\n8429 8612\n43429 64972\n83486 99064\n33337 84282\n3563 83960\n40594 62152\n46631 97531\n10028 92967\n53792 87442\n1920 51233\n14456 80782\n7247 50263\n14199 79612\n72561 96300\n46411 60720\n21004 97128\n36229 54021\n25744 42096\n68535 88144\n65306 70174\n47935 61026\n72486 84853\n6972 81067\n14386 28041\n21007 70755\n27527 44641\n12967 87532\n80963 81469\n52607 53203\n73559 87060\n11901 31673\n70448 72444\n15663 77657\n56756 88238\n10926 64545\n14444 56199\n1500 84592\n28501 44907\n23509 75083\n26637 54305\n45153 95677\n8029 63898\n7676 71703\n79031 90179\n9184 49365\n34610 59093\n10754 16432\n22012 48218\n3219 61526\n33586 39797\n7607 65934\n38386 45453\n13787 56778\n419 51263\n50257 70080\n31478 56454\n35216 85513\n17174 32832\n4592 45832\n18102 57502\n12016 80801\n11606 32510\n39681 51215\n54803 61329\n18917 53812\n19685 48466\n15140 94571\n28027 59929\n19229 93448\n18963 98378\n13786 91521\n56487 95919\n90446 96471\n31157 59351\n32695 80482\n8763 27519\n14122 17549\n22330 46732\n76369 82965\n22065 25702\n40035 43556\n12621 32367\n24427 66275\n1992 87728\n35085 59188\n870 98524\n34969 45606\n8672 73919\n21988 50103\n61702 77297\n13031 96923\n24947 36237\n32569 83754\n34960 96228\n11061 37002\n54693 78569\n60054 81476\n37654 48239\n66601 66892\n30881 51152\n14722 84356\n53629 93866\n1089 50823\n19815 76856\n53415 92162\n59893 99244\n5921 76220\n5356 11109\n37794 60678\n5389 30657\n75189 94212\n71031 79007\n46350 55551\n6599 33889\n4242 98852\n7440 89994\n4636 60436\n30757 63898\n19079 92047\n28507 62684\n34155 55209\n24961 97883\n26490 71065\n1492 72961\n61038 97816\n41316 46471\n19370 91801\n18567 65644\n36562 46051\n90 59370\n34088 79025\n67899 91752\n2407 61024\n47525 66993\n72162 83641\n50682 59953\n20966 39456\n8534 15885\n20442 55167\n10271 56475\n37441 93103\n65031 77452\n40463 77469\n16039 45201\n37328 95838\n57341 70504\n47999 74917\n13315 72780\n17500 73059\n3163 44103\n81485 83447\n12078 30661\n18854 47719\n37741 69986\n2978 8393\n16001 53013\n18751 83619\n62490 96638\n18219 76279\n25013 69724\n59486 67080\n37260 57577\n34016 43660\n13813 69718\n11344 95558\n16003 29146\n66848 68487\n5630 46319\n22719 53890\n59578 91378\n42614 91745\n38306 52867\n4543 78051\n13869 65046\n60001 96297\n4453 56763\n55356 93654\n88556 90596\n63983 64338\n8252 54878\n38131 96706\n71705 76932\n29235 96162\n6819 43888\n13759 89269\n317 46069\n22979 70505\n53272 58298\n49001 60098\n51097 58185\n3712 72955\n2674 80055\n2913 22435\n54076 73850\n18546 55765\n59835 90889\n83134 94236\n43439 77545\n88777 91026\n24892 74854\n45034 67555\n71368 99420\n7214 59906\n914 80470\n1530 52097\n10942 81262\n15128 55179\n18980 40240\n13205 70392\n2654 7478\n31459 76083\n32583 83944\n2260 54382\n41787 58187\n12865 14785\n17038 28473\n7966 39326\n62781 84987\n35575 45575\n82697 89407\n39445 60566\n10217 12183\n9085 86415\n1162 54797\n74787 95093\n15528 37625\n34587 67121\n12468 96311\n37048 85770\n62499 65105\n38350 68820\n52805 55753\n11133 28605\n23144 39307\n18272 90001\n50845 82843\n39524 84600\n65543 90017\n7280 46632\n292 3887\n26625 84914\n39845 95707\n39450 60308\n24244 85376\n9655 37996\n14501 23977\n84334 87994\n11324 16981\n54465 96645\n2785 6515\n6016 87160\n8415 9023\n7488 58113\n23766 88633\n22957 94118\n25515 84207\n37866 95376\n41966 95569\n6732 13038\n85430 97329\n58051 62926\n43078 92470\n38003 41243\n3878 43513\n35462 69838\n23089 56077\n4380 67883\n19767 78817\n2237 55317\n4930 53248\n32554 66466\n50487 59785\n63828 77487\n68436 73044\n9881 99191\n89192 95076\n77705 90174\n60991 88672\n14017 64807\n78094 81177\n42985 82010\n22728 93739\n923 8567\n41974 64818\n33535 43028\n23571 24628\n905 43479\n10346 78644\n54573 56383\n3944 10121\n45864 72947\n29742 68109\n21262 79945\n3583 55584\n5401 23563\n72632 85019\n30349 69513\n9662 18233\n56805 60314\n29430 96798\n97 88247\n73592 88983\n21835 74717\n9229 13239\n29282 85197\n13374 58568\n44144 98554\n1581 85015\n44149 81332\n31219 98876\n41885 54057\n15747 19898\n19773 73881\n64404 91631\n6529 83870\n10739 14232\n31398 81037\n4664 44560\n59869 90030\n58730 68302\n10719 89921\n68050 69172\n61866 83423\n36954 61364\n7755 87220\n43977 66023\n7963 83505\n44652 91384\n25566 39686\n23895 90848\n91023 96655\n24006 96537\n7336 56852\n4366 65617\n30362 52374\n16862 46968\n70989 87741\n38108 70415\n18237 74305\n6566 41649\n38757 93522\n15915 74021\n3327 42995\n26162 87750\n61844 90888\n6402 29262\n18706 22269\n9833 84067\n56770 86806\n56025 98350\n5225 94115\n3327 84719\n5417 66459\n47467 56316\n46113 64544\n34740 50659\n60896 79507\n70405 82131\n3835 40797\n26900 73139\n38049 65512\n11450 53697\n1836 83990\n30667 79976\n42278 84269\n41139 61414\n14900 93558\n34814 91246\n46406 90406\n20536 73507\n75108 75639\n13160 71368\n4286 27326\n49010 99460\n55695 64039\n92056 93561\n40072 78438\n58612 76008\n37299 38755\n38104 84437\n24583 49904\n20245 89083\n14784 66407\n19120 62156\n30271 49855\n71231 88769\n41272 43414\n30085 81696\n48780 76603\n11698 44866\n10699 39182\n50745 54240\n12965 29104\n28821 45901\n26593 36323\n25343 96657\n50420 67755\n45883 72871\n24114 39231\n50933 64821\n96292 99810\n92042 99993\n53882 60176\n72627 93157\n90 94057\n29797 82455\n20535 79595\n68120 73134\n21548 73432\n11597 93628\n3978 89362\n76723 86404\n62701 87797\n2863 21904\n62261 81370\n51468 91831\n72919 96426\n10463 19181\n5293 98951\n54814 61690\n30164 36013\n9483 69778\n9564 91574\n45620 84046\n44245 50908\n43702 63001\n20782 87217\n19732 64119\n51401 73983\n12196 31393\n11248 48286\n52610 59287\n2892 43856\n31312 79400\n12108 50691\n17490 27754\n7945 57999\n35277 40415\n1074 1265\n68028 97301\n13811 97913\n6431 27083\n3026 13409\n11512 63128\n74232 77001\n6856 26443\n46242 51457\n16487 22641\n22048 27880\n16372 80723\n21153 31068\n65084 91772\n46271 99666\n46031 75804\n7692 55031\n31877 86575\n13885 77402\n20529 61009\n16930 89269\n84952 99180\n22403 26086\n47704 68610\n78112 79453\n41576 49302\n66436 77617\n42714 71285\n6174 45147\n20258 40244\n25648 94843\n54024 80319\n48945 66519\n43327 70968\n4321 87738\n22589 27509\n39504 62665\n21935 45228\n57670 72884\n950 98583\n13630 19666\n57222 79525\n53224 90656\n18456 63465\n26913 67934\n71266 90139\n10844 28271\n5039 44732\n11711 79121\n39119 61330\n52328 70761\n91897 96557\n51613 78907\n71538 89391\n18431 25548\n17485 41853\n92245 94314\n60321 96605\n29062 54937\n44527 85924\n31225 84245\n56455 71795\n86429 88888\n79253 92693\n24998 32412\n58371 67573\n13629 55823\n22343 91064\n50035 58116\n41038 94509\n18692 81840\n53436 68949\n26540 37580\n16090 69103\n89865 90554\n31477 47913\n1709 38929\n39333 60895\n47788 98686\n27175 90849\n21268 75278\n15140 83657\n5124 31366\n7382 60060\n20684 61102\n29453 36072\n19470 83276\n69578 87987\n28783 87272\n38646 78300\n46330 57268\n7305 69250\n53975 68445\n18654 66707\n26880 38230\n18794 28873\n4780 37985\n25641 84572\n61749 84917\n38958 99059\n14883 60985\n11914 52191\n78317 84825\n22140 79912\n53266 62816\n9960 79696\n31883 48750\n30283 48122\n25464 57472\n10161 21399\n51506 69849\n28920 83081\n68285 71336\n9277 49025\n38750 47818\n79869 97873\n59471 65892\n53006 73334\n13423 74403\n74474 77035\n11791 33900\n5957 39771\n86124 98277\n34266 85336\n8176 28595\n60383 79716\n27141 72681\n30119 56740\n15701 95477\n15731 35384\n197 67129\n766 84178\n10586 89027\n41114 87572\n86549 98492\n27342 37879\n79455 99790\n58652 86523\n21015 72614\n35092 97318\n1456 42017\n22329 71914\n22503 48512\n69868 92489\n6107 56161\n26431 53275\n8764 17629\n18373 34510\n1900 22891\n36536 84523\n16950 23458\n15094 19576\n23412 41785\n83157 84994\n11296 68926\n11137 16193\n44514 77479\n7196 22382\n45386 72052\n47421 59569\n20062 67983\n1085 36757\n48898 49254\n27662 79411\n40455 54960\n91191 96878\n18917 41178\n37674 59295\n8639 53999\n15758 91385\n64491 90142\n24656 88848\n12427 78581\n26811 99739\n26665 40298\n16561 65707\n5673 68364\n17776 43266\n69736 99048\n18336 39675\n9757 43001\n22212 79506\n2637 43486\n23175 73565\n35546 80532\n46096 63912\n52195 77444\n49915 57862\n23361 31026\n52268 66863\n4605 11734\n60848 67179\n80121 85502\n55374 93597\n31879 83705\n8697 13416\n42009 54888\n83505 91479\n88163 91626\n2013 33954\n38644 58963\n33860 52557\n18703 61421\n18105 81093\n54387 57720\n18583 51030\n23552 93090\n16593 92922\n57864 84252\n14311 67935\n63849 75717\n16380 29122\n20032 81007\n25628 96779\n54101 56564\n34277 40742\n25785 89776\n59641 86254\n70615 72907\n18592 79457\n44674 99870\n4808 19329\n76596 76921\n27413 76709\n6943 54840\n57200 95112\n2307 3387\n59760 63815\n73115 96235\n8029 89377\n80084 87958\n55923 81107\n24144 25614\n16201 45494\n15227 30514\n22766 95012\n49349 96573\n24563 62664\n206 12691\n8842 14119\n47208 56923\n11264 30525\n77025 98214\n64918 86379\n20649 93085\n5753 59018\n23395 67156\n14856 40431\n6820 61623\n37837 80855\n1356 45619\n21850 62074\n78976 83892\n55932 66748\n5478 80859\n21611 74857\n86451 86947\n34974 83580\n2560 63034\n41645 60937\n17455 58583\n38738 83887\n84765 89518\n19540 86476\n12858 24299\n29747 71123\n66864 67587\n43417 97180\n54964 82887\n26402 50338\n1657 30843\n2779 38197\n11751 69003\n6069 95129\n30663 79686\n50020 61466\n44533 72744\n3031 78011\n18067 82718\n35262 98189\n59334 73100\n19622 54518\n14585 42648\n58045 73420\n14238 67747\n6697 56136\n39005 54706\n60070 73202\n50181 80051\n1719 24540\n36808 95400\n68254 92776\n80136 93829\n4600 88875\n3186 33566\n44562 62077\n12738 48808\n37568 40678\n77081 93884\n1335 19574\n26272 30404\n87297 89897\n93485 95536\n47134 84704\n24832 88246\n3692 35133\n2382 29410\n54679 58169\n34701 44515\n3431 10314\n21864 37195\n42779 77282\n9344 16850\n10558 67963\n50518 53455\n3709 73087\n19410 24124\n17537 98261\n39379 49299\n45940 54965\n15751 21406\n6880 15218\n56157 91815\n38392 44370\n10974 63055\n21470 65945\n5864 54762\n32805 56162\n1487 47780\n75139 78540\n65079 74021\n36747 39223\n14007 23904\n33270 88245\n3705 68478\n22099 56861\n42508 77021\n30850 82664\n24859 79593\n34991 35569\n49648 53940\n1212 40610\n53432 64033\n9053 38025\n32052 43785\n20846 67305\n17700 21391\n11197 26708\n45497 63512\n24566 83321\n67731 72009\n7787 99218\n53973 67572\n44704 68554\n71471 99574\n10380 97766\n13037 45390\n75656 83154\n50777 52950\n44038 78262\n52666 71433\n23535 71754\n10835 13870\n20800 55365\n9601 38456\n11912 48138\n21394 89194\n34299 83472\n81459 84023\n3449 59644\n28600 85101\n11552 53551\n66893 82293\n41457 64210\n50140 71319\n5781 75385\n61852 65601\n29719 94513\n72429 77819\n63349 80414\n33063 85008\n20662 99896\n67243 73800\n13542 97492\n2248 33425\n29972 43712\n29433 78768\n1719 90823\n57860 89299\n61506 90314\n53664 77572\n29744 72998\n35541 87071\n35576 58723\n27274 75659\n61927 79459\n30318 51711\n72139 93745\n47533 93339\n52325 53055\n65767 82051\n20716 43878\n39141 50872\n4285 28556\n22243 66112\n46553 47970\n58306 97782\n4009 66282\n57819 89269\n43865 62518\n72308 74634\n5221 77684\n12302 13466\n36630 53624\n34601 41419\n42013 78526\n66923 76447\n1603 82910\n33844 84630\n6625 68991\n16 69277\n16862 16985\n3835 20394\n10367 59382\n6657 39115\n1950 89647\n25526 87514\n25491 50066\n19236 34528\n56372 96278\n18707 31067\n15305 61094\n67637 76725\n31525 68388\n67007 96559\n33824 43783\n46309 79979\n38438 78730\n54521 60063\n3132 26144\n4402 41230\n16701 28156\n4904 32905\n50548 76059\n33751 76184\n13516 45030\n19698 44025\n32276 89722\n21470 72921\n7007 49160\n2503 51876\n42257 45708\n27366 74791\n31696 66492\n11406 18394\n10416 60227\n21753 87527\n66680 87979\n37668 37781\n12467 70725\n28817 82799\n66491 77337\n11817 47176\n7378 72900\n2904 6805\n23487 75515\n24321 55721\n24918 62156\n552 48777\n10343 34435\n47507 84260\n56730 69304\n63905 98509\n25747 36991\n29425 89294\n62537 85053\n7734 86577\n9303 35300\n21635 99503\n3221 70451\n11517 25457\n52013 67890\n44989 52058\n8795 9911\n37043 56970\n65356 83183\n14031 21943\n32329 89517\n4954 78211\n37672 82517\n7163 29365\n34572 84588\n81865 91960\n64868 83881\n77620 97798\n62044 95353\n3832 4138\n59802 70019\n41844 51038\n3984 80032\n4317 70910\n32226 68006\n47915 86129\n72387 89190\n28561 86716\n18756 57305\n15289 35127\n33040 56004\n20752 45998\n12226 39546\n20354 76693\n62185 96112\n19088 78949\n28966 34642\n59479 77980\n41660 83554\n28314 39340\n96503 97452\n10084 15162\n35389 69188\n38078 43126\n22283 70899\n30729 38338\n4551 77152\n70124 80447\n90848 96379\n4976 41740\n74472 97311\n57892 81892\n1147 64189\n18705 84187\n7057 24252\n4537 79287\n23229 41194\n7713 78351\n13757 61418\n56373 84450\n43095 45859\n5261 39259\n17100 77120\n23834 32865\n31978 54625\n72391 89679\n46025 46536\n15615 70874\n5095 69597\n53804 65080\n37021 94926\n27430 34296\n48984 99585\n11370 63232\n26516 52871\n28363 71980\n16364 21051\n9772 80342\n3523 59899\n16343 79950\n10224 47974\n25878 52402\n26953 38217\n12732 56815\n16831 96987\n78623 85847\n13331 60968\n47904 61068\n9278 18486\n30677 55189\n6568 91327\n2268 7337\n4821 83809\n57028 86968\n44084 62317\n10871 39540\n3614 35174\n35952 77846\n3914 13193\n69703 79660\n45663 69064\n31780 93275\n15357 81393\n29095 50871\n14848 98828\n39681 74907\n19065 62826\n13866 70565\n61552 98542\n75880 85079\n3346 21259\n38818 80944\n27255 96934\n66496 86992\n81833 82486\n17737 72417\n19973 47007\n20704 56834\n38974 58260\n42464 93044\n64869 71571\n23451 74419\n13540 68178\n6237 28373\n19456 40651\n19194 96455\n89421 95206\n18047 94142\n15739 22722\n42594 48708\n7955 30414\n39952 79517\n38518 65653\n69998 95725\n38589 66471\n61974 67004\n40678 49668\n71277 94369\n27545 95784\n40065 55640\n30101 97150\n1881 66036\n50323 90608\n55989 94434\n20784 35779\n14964 20855\n10704 21121\n25719 76226\n4345 85230\n35814 61346\n56466 75677\n42770 97040\n53622 56519\n27471 94494\n59632 75644\n21748 58635\n3649 53604\n18149 87885\n39141 63716\n24783 45661\n23729 98197\n40662 61203\n7028 52051\n16001 75884\n3962 55594\n54859 98301\n33107 69232\n20796 66042\n6121 93088\n19052 65271\n15091 86957\n67717 99730\n51851 90684\n55562 59326\n26143 60235\n1919 80631\n44715 63239\n49130 54709\n82973 85215\n73032 95025\n18986 71452\n21428 36153\n2812 27984\n62349 97164\n91753 94570\n51628 76853\n15793 18417\n33254 70348\n52796 57558\n7591 23142\n54215 71699\n147 48170\n87183 93026\n41243 91114\n3707 25476\n3632 30126\n15387 26261\n47196 90293\n42433 68537\n35536 80979\n80175 91332\n92970 98786\n1000 2653\n72792 87064\n60798 77196\n50749 85765\n15482 70245\n30770 83007\n35069 45741\n43455 62025\n25060 92531\n25806 95417\n67190 83741\n48616 86127\n46038 55053\n22690 75880\n2671 5903\n47618 94042\n18656 96958\n78843 80536\n35030 80756\n30066 95280\n10843 49630\n14848 83552\n44195 94369\n59551 89291\n86108 94872\n21297 96070\n41142 47354\n35800 79007\n31782 96835\n39020 87532\n20391 39538\n2607 97678\n43702 61568\n8903 49699\n32687 58379\n65104 96985\n54762 80923\n55200 83601\n13619 22813\n32677 73190\n28502 35237\n30739 98321\n21069 29904\n51905 90008\n25557 36522\n26336 99091\n19425 46328\n51884 99520\n44710 57525\n76762 97673\n91862 99189\n20773 87642\n14317 88988\n11761 23199\n11081 88163\n16875 50943\n29904 98039\n51068 91600\n24662 87369\n10537 81523\n30814 63847\n7940 78363\n7518 45540\n537 2771\n15581 32213\n25193 49210\n30561 78702\n70362 71657\n17579 86109\n85667 85847\n45526 84627\n29726 72246\n38854 51129\n29352 75395\n81698 84981\n41170 55986\n30258 84646\n3107 73845\n16111 69425\n49491 72830\n49644 67882\n29458 98001\n81432 98344\n10794 24911\n8015 34996\n6075 25729\n27934 63104\n28347 91806\n65098 72306\n18366 23315\n7794 74614\n16357 17667\n19446 31284\n16692 54689\n42890 56490\n23800 61100\n56712 65977\n3498 19545\n17771 63699\n48350 74810\n89082 96537\n19732 60611\n9859 96270\n30516 84055\n18576 74708\n17592 90669\n42267 71242\n21889 95080\n24923 88628\n38966 88461\n33620 51986\n13666 82053\n15959 96988\n26000 54045\n286 75936\n10243 75446\n11403 82657\n526 61794\n71113 94979\n1444 88679\n1921 21955\n40301 67168\n4343 33762\n36298 40129\n27253 32541\n27479 48612\n6151 21728\n13542 37530\n4981 78171\n48910 84440\n1954 9273\n53017 91847\n49051 89355\n30453 99232\n52929 79233\n35261 66372\n80095 90092\n27969 31307\n31803 60932\n37892 99528\n27079 39807\n67801 72380\n6586 18152\n30296 79929\n27113 78538\n29572 64606\n59965 69819\n50494 93565\n96097 98096\n7159 34677\n32960 75341\n3695 21187\n16008 59448\n52242 96036\n64306 69230\n16294 27840\n82851 98526\n29847 94683\n7515 48527\n7158 43878\n20634 73919\n31475 50713\n39755 97657\n18221 59871\n72410 82340\n17128 76166\n15652 56432\n55134 59148\n313 35429\n38622 88483\n13897 34580\n43240 92119\n22391 23048\n8578 46040\n33424 62543\n67939 74849\n4865 30811\n10517 44642\n8674 57347\n14668 75936\n20728 55828\n57823 71670\n42042 84803\n39209 49361\n54373 82798\n8609 75218\n9732 35577\n14987 70711\n28856 31327\n22947 43983\n69053 96382\n47932 69215\n19516 70378\n454 2121\n15273 83339\n38057 93086\n51905 83660\n54743 80192\n27924 77078\n17560 85727\n30021 52181\n17249 17858\n13200 35604\n10801 48871\n38585 70318\n8491 43187\n21177 64743\n9866 52775\n33433 41340\n19283 44267\n27815 28206\n22959 64565\n83241 92172\n83416 98258\n26091 68222\n34748 75352\n2071 48344\n81828 91367\n56928 96637\n29016 66100\n8565 46992\n87257 93405\n23296 76246\n25517 46045\n42441 55082\n15392 34978\n38053 66483\n4627 16990\n64415 83667\n8185 28400\n42963 54277\n19763 90670\n2283 39897\n25203 42738\n33125 65392\n53169 97416\n2882 98008\n27082 62987\n43322 89247\n5620 24755\n16530 40010\n29558 71509\n85997 86887\n31179 59302\n30847 56682\n18590 51341\n9011 63752\n41385 98421\n10177 45775\n85183 87463\n94851 95981\n35405 84540\n16197 34357\n13009 93698\n22722 32016\n46144 90458\n59682 75396\n1632 99638\n85503 97075\n20442 24263\n25168 49873\n41058 69926\n16113 92932\n17334 97475\n68747 91589\n8564 15262\n65041 73518\n42552 66370\n18035 87667\n51626 84476\n23637 76003\n11269 23224\n16097 69948\n8056 62146\n31716 68295\n7213 46825\n7359 15463\n32603 88339\n41850 61761\n1302 59263\n10024 62167\n39662 88122\n7325 44392\n8983 47176\n9753 12354\n8961 52681\n2411 78370\n81177 82643\n9472 11483\n54800 80323\n8733 94319\n25745 90176\n25368 82731\n52401 63792\n12977 79175\n15310 76878\n49245 55081\n6655 86092\n344 33475\n5029 39518\n70075 91313\n12402 80027\n40246 98388\n19652 53690\n79957 83554\n44273 63425\n60888 89135\n16566 24482\n4206 13415\n47806 63610\n17506 99008\n43351 53198\n33488 65718\n75830 82640\n44134 49995\n10882 81146\n27841 32821\n19674 76976\n12493 36624\n5518 27822\n43551 90461\n120 60531\n14569 90725\n45226 51448\n21363 70471\n17869 21552\n2278 10558\n1860 44051\n52804 62422\n7332 14426\n39045 92104\n76138 87596\n75646 81924\n61080 93486\n60150 63533\n79622 81593\n2179 50913\n20096 76996\n18501 94669\n45883 75456\n13467 90806\n15335 62475\n74862 84350\n25855 53203\n51503 63796\n52520 83450\n48844 76034\n2920 46723\n71651 84301\n55745 89105\n1155 43185\n51572 54945\n54203 74334\n16552 25716\n73688 88805\n11393 64246\n5094 70816\n7146 27765\n22642 98724\n1068 12652\n55744 68861\n66054 70077\n44361 78309\n62246 76937\n34026 45499\n66810 70925\n48648 49036\n52819 75455\n33013 33288\n6107 11831\n67194 75725\n20607 23444\n57116 95684\n36948 52523\n52309 88933\n16254 54300\n16907 30630\n47458 88748\n57318 94317\n78139 91457\n65616 75612\n55140 67825\n13755 83619\n4429 97282\n73491 96389\n34660 47705\n38861 87100\n36582 99749\n32881 54267\n32115 75401\n176 15413\n24279 47257\n18507 46291\n22381 33831\n45110 76104\n11809 18251\n20319 72585\n11284 76909\n89026 96410\n20718 74747\n12872 40989\n20518 63286\n30337 95505\n3093 68877\n23169 69466\n13928 39699\n31111 48466\n61483 94410\n21797 30821\n13745 48639\n4496 39390\n8484 47673\n74524 90843\n9753 75031\n21737 87131\n88216 97261\n43188 88186\n37360 63554\n14222 55906\n90012 96071\n62715 90480\n8314 69577\n53102 70617\n15348 79959\n15838 96548\n17358 28078\n57015 87865\n6063 58961\n20492 83544\n33376 64990\n4679 36607\n15213 79580\n59836 72158\n55289 91394\n23186 89176\n183 39457\n15430 30774\n6893 94915\n73401 79817\n1264 99782\n9079 73653\n27092 66392\n5816 40537\n43417 57271\n72802 83786\n24138 31100\n4404 86769\n15415 28487\n45964 47600\n45972 59547\n363 55411\n48421 65794\n6526 17053\n59027 83088\n58896 63075\n244 58647\n41242 58859\n7851 38080\n1 15928\n49655 82683\n28583 37680\n40317 45324\n56226 98859\n3378 20705\n39206 74425\n65468 71767\n42708 73120\n77344 89401\n51527 66755\n30498 74346\n54169 78199\n5225 51060\n39323 83537\n18485 31366\n69297 88774\n1606 64794\n39640 59907\n48291 82799\n25095 25953\n5415 6225\n61967 84946\n12067 77754\n36910 85688\n5708 55882\n20833 71894\n78488 95370\n37599 77857\n18152 20251\n44672 68204\n73410 89438\n692 46153\n44103 71018\n3897 38840\n11037 85369\n790 64329\n1230 72616\n39457 56277\n6159 66502\n5120 86274\n21905 94329\n26486 80519\n19224 43449\n5189 10499\n2694 26645\n12486 31577\n44222 83956\n7991 67060\n42338 94657\n11611 46130\n15514 78223\n23476 95586\n9540 72869\n91212 91618\n14192 77553\n52483 58530\n50844 83235\n50353 87952\n52334 91058\n505 40671\n89072 99544\n15048 58198\n56675 56883\n17965 98973\n17101 19259\n9682 26513\n52051 76873\n8547 81504\n54957 84524\n30426 44104\n874 59930\n49793 98554\n28212 62186\n31495 47681\n11481 72763\n15050 97549\n57030 77402\n49005 59805\n63039 82567\n19494 44812\n16412 77825\n23114 34691\n37231 47785\n27765 76343\n48259 82863\n22456 95264\n22787 89845\n23317 79591\n26909 42541\n60381 89033\n5257 34335\n16351 66416\n27096 47890\n31035 80973\n56915 97509\n57978 58379\n46161 51530\n7481 22301\n38419 44510\n24895 37166\n14905 51397\n70093 71783\n63227 99860\n47647 93403\n49090 55390\n66038 99436\n5522 39987\n24491 93862\n45108 48155\n30787 76495\n47864 68663\n62060 75463\n14736 19180\n38578 69423\n20606 39800\n40497 54953\n3957 39324\n25638 86464\n26645 34638\n18758 29921\n11501 76329\n8537 84057\n50428 58264\n47124 65832\n11015 94458\n86509 86872\n53944 78627\n10514 99178\n17283 65334\n17075 44389\n27334 79483\n20090 78921\n36421 38134\n10705 41250\n33881 71024\n1366 95171\n19891 56480\n65767 84254\n46506 70692\n32757 61600\n49642 87905\n6514 16000\n15346 90323\n24229 69706\n60756 78180\n38417 84872\n36526 80998\n52168 91835\n40556 55922\n39867 93964\n369 56960\n32990 57831\n14720 21956\n64093 80154\n37890 73848\n17553 84855\n52093 59623\n70078 95925\n40013 67773\n21442 58845\n43428 62089\n35710 86707\n18771 95328\n9153 53232\n5117 53035\n51556 97180\n15411 31162\n34987 85050\n3233 89094\n23908 27481\n46945 96866\n26886 74525\n26374 62997\n3633 5587\n16122 21861\n44548 80214\n1113 46399\n14012 60457\n11417 50106\n10850 25590\n17492 90240\n11546 92647\n13215 58567\n13489 67948\n26596 86036\n50511 74526\n6157 17959\n42551 61454\n28229 87520\n19803 90081\n5194 61107\n6064 7687\n40472 47684\n18008 94284\n28629 79782\n6220 91809\n41151 72891\n27349 56621\n39538 85537\n5411 13065\n10064 91281\n5841 74357\n13668 96240\n26771 84420\n30065 58140\n60559 79753\n16709 85720\n79285 89260\n42256 50606\n89877 97841\n7141 69348\n36104 73718\n18463 29701\n8300 39037\n36294 84824\n79320 95827\n21579 73493\n11730 78949\n35879 96092\n26798 65987\n30916 63369\n28551 49084\n9462 48595\n22931 82188\n8182 87772\n65295 72246\n6763 31074\n43636 95222\n28905 91347\n7169 52183\n16083 99289\n8522 92747\n19763 90567\n47415 50084\n27230 81890\n62647 70901\n20568 49210\n64789 82568\n80574 87579\n66155 90590\n24594 42980\n24372 27189\n48062 88931\n61409 96432\n39231 51280\n27936 52340\n20596 84258\n74307 91182\n34309 60886\n11277 78845\n72536 74279\n5231 7573\n36603 43983\n21708 39131\n27219 49630\n38256 97480\n70547 78211\n67931 98700\n45351 55697\n29811 64250\n60861 91729\n16044 61790\n66034 87212\n11176 78318\n39429 50799\n35135 78752\n31850 72353\n54378 91659\n29558 68222\n1937 94621\n36574 57470\n17870 81922\n55976 61399\n906 21738\n80362 96177\n61321 70595\n37593 48327\n58781 73944\n59330 98908\n62587 93997\n13986 92521\n30939 37525\n76691 95695\n9222 45547\n31794 53773\n10499 75034\n51293 89384\n17534 25738\n35952 59614\n3942 83613\n67213 76148\n29653 42143\n49785 81001\n44435 57771\n40979 84276\n33310 53180\n35155 65612\n53785 54788\n36791 66108\n385 5259\n47784 76015\n42474 91056\n7147 18378\n61730 96327\n84977 94982\n97646 99229\n20432 57926\n21679 71038\n28004 81235\n66554 78014\n35365 59680\n70034 76521\n33153 44923\n327 77890\n38229 52162\n14335 67732\n10395 70381\n53082 81501\n17940 66850\n44511 79913\n37898 45361\n18154 24863\n51767 87407\n80953 84822\n32787 32914\n50189 94264\n10334 31715\n4247 75459\n50485 69656\n27821 40497\n47370 70512\n84105 85109\n3735 27939\n14035 52004\n56307 58743\n37186 94677\n16112 92454\n57874 74184\n78160 84133\n87970 97520\n25621 70638\n26991 90015\n4198 56449\n48247 73112\n2707 45675\n72258 74708\n43458 55491\n48621 81741\n13608 63047\n23939 54605\n85623 99699\n22498 61465\n37857 55992\n11620 88724\n23290 46319\n36698 38488\n9524 45097\n81005 95400\n26378 47611\n22112 66656\n23711 45995\n50919 65695\n80549 88655\n12844 13578\n44104 56608\n35679 82334\n79478 88504\n26030 40945\n27321 71449\n35312 50331\n36333 98090\n31026 91629\n28178 97119\n35799 71071\n36218 45371\n45457 99963\n22313 69764\n12002 52237\n9301 27571\n23135 81114\n3886 36531\n62487 82941\n3113 64548\n13785 64939\n25284 34744\n386 42553\n60317 65708\n4268 56747\n13956 31042\n29707 73608\n72789 93562\n93225 93550\n25380 56128\n28011 92613\n37197 64090\n6802 34119\n32895 42788\n48692 96876\n35210 83823\n41324 59452\n6130 60816\n95552 99117\n49367 57657\n62976 77907\n24262 54200\n25765 32157\n8248 35883\n58056 90120\n22652 64806\n19577 57619\n25386 48154\n15561 30521\n30779 61568\n51039 81604\n28916 58484\n21571 35676\n64785 84502\n40502 72881\n27091 54627\n73757 86966\n2548 37802\n8323 40505\n33645 52810\n7095 80252\n19185 23144\n7703 80211\n17316 67776\n8985 39525\n26872 60595\n59226 98406\n47228 90227\n57343 64488\n57297 90339\n52795 77688\n37417 40324\n8371 28272\n3699 40503\n24175 97496\n19767 78883\n1474 99681\n35792 51884\n83801 91746\n46360 83243\n1551 5276\n6686 60940\n18153 51384\n46537 59439\n1641 5548\n45494 57724\n48795 63800\n3911 42589\n7093 62672\n7586 73874\n5535 13118\n6888 87587\n45573 62146\n12597 20026\n16236 70274\n18569 56492\n4601 89881\n58884 68501\n26524 99153\n22611 77951\n35653 58036\n68411 75435\n12461 89007\n2016 94719\n428 5421\n23626 98225\n15210 76381\n18132 56961\n56869 92422\n31175 88768\n47011 96097\n66090 69446\n707 80462\n63217 89452\n10066 72607\n25003 84425\n39822 94722\n45334 87081\n17392 88487\n75778 84909\n56615 81961\n20594 71784\n43385 55415\n33613 76557\n55045 73070\n36664 98485\n56776 62939\n4765 79130\n30495 78454\n77073 97994\n13776 63077\n40728 80082\n8707 79625\n19723 64831\n17551 54290\n87496 93625\n15887 55189\n6620 37707\n27606 36388\n70464 94499\n35412 62617\n15154 95680\n5908 92837\n15900 61329\n26735 85911\n66578 85840\n27351 28481\n34343 47909\n21776 54750\n94626 96900\n7480 90252\n5574 10527\n45030 87179\n64810 75745\n10875 86836\n19813 22909\n26495 48725\n442 76823\n7306 82322\n21265 44495\n34598 44500\n23760 24248\n55667 87641\n35816 39585\n61920 70876\n4701 16878\n24106 72801\n16680 71339\n8972 22185\n92635 97122\n4559 73895\n33545 78358\n22585 97936\n10026 17692\n11971 51527\n10884 21111\n1404 22154\n71537 77207\n44630 75046\n75846 99294\n42982 51912\n16885 97812\n29165 90067\n79461 97420\n17152 78858\n54555 95233\n25465 76576\n14034 36585\n19228 81581\n31020 35657\n10347 80870\n16646 37302\n82348 95184\n126 95823\n27016 47632\n52791 95287\n11860 98084\n8375 18288\n16481 92661\n4905 23315\n7426 8633\n3263 61203\n3651 43448\n53947 85800\n60052 86077\n28574 33153\n62500 92432\n18269 79893\n79190 93201\n1345 89021\n52923 92327\n18396 32639\n56187 85816\n15484 47692\n4603 13735\n33123 92974\n50374 77883\n2203 80469\n46659 80371\n59043 93143\n7475 54474\n28935 73410\n48743 51247\n15150 38762\n36182 89645\n31169 85964\n42006 50067\n78933 86496\n34541 49596\n2503 95267\n35378 60632\n12393 48304\n68851 90700\n5807 7286\n48952 51554\n63596 78499\n9553 47370\n24941 43226\n32651 73087\n51192 60728\n44008 72777\n32145 93970\n29658 79928\n57015 82139\n82416 87980\n80508 83700\n33447 63860\n61770 94465\n58571 61039\n62342 76605\n14977 44185\n65145 68308\n45861 48049\n12054 23111\n27917 43259\n16190 64300\n69005 76236\n32856 42623\n34283 52549\n26470 71093\n6908 78873\n37033 96438\n12759 78072\n16238 39500\n26868 57977\n23498 81615\n62981 94394\n43247 52814\n12697 68118\n1660 93237\n14544 43357\n10225 57710\n10685 84560\n3200 80179\n7843 65832\n33616 34695\n577 24157\n12469 44320\n5802 32164\n4465 20131\n14303 24325\n398 91498\n20207 43218\n44501 92702\n3565 50752\n45606 62488\n18543 86679\n85277 90308\n32118 96003\n7196 39566\n56361 66179\n42094 73793\n54901 73852\n91097 99712\n51099 53139\n11502 89854\n72296 76397\n17315 94311\n60715 90133\n25925 67450\n47583 66269\n15938 21087\n13629 96620\n11713 99308\n57161 57578\n67715 75724\n36105 98568\n54516 98986\n36744 82433\n62940 82709\n18301 42021\n2496 68666\n25733 65110\n2522 88487\n64473 87141\n22957 61578\n57924 91679\n18722 19108\n25381 92018\n1514 30852\n46102 83964\n43637 82051\n49241 81908\n11436 56797\n38400 88734\n32418 36025\n6040 73195\n5525 9305\n50819 53967\n67 35675\n12302 88883\n28227 77282\n7265 16861\n5680 45261\n61027 69946\n55271 80603\n8633 78450\n63627 96616\n59728 81878\n41382 64819\n49325 83661\n56808 75967\n25297 86934\n23599 40809\n57695 89538\n2786 62835\n45022 81632\n13017 52473\n3637 47498\n31528 60343\n39015 64630\n22555 51678\n30840 86861\n39507 79355\n23319 87219\n16464 43072\n44175 62260\n36001 95724\n43097 89861\n34911 36794\n32497 56055\n26093 36113\n27855 89886\n8193 81308\n39046 62362\n18805 65786\n49244 60450\n43189 83802\n15754 88508\n64571 99388\n9539 69288\n54965 82738\n42322 43547\n27937 72753\n12749 50121\n25693 69834\n8736 40629\n5907 88026\n17993 19338\n64988 77688\n6783 13206\n66293 70795\n10217 58955\n7915 77812\n12374 32735\n20334 54135\n28658 47184\n6633 60911\n17241 81978\n36020 87992\n39526 53566\n33525 50968\n33279 34218\n1821 76901\n14984 41770\n46830 83115\n82922 88085\n28439 36500\n75695 97431\n4088 98352\n34527 77203\n10634 42547\n33174 89475\n25735 48542\n15527 58492\n69799 99246\n45997 87099\n16689 19455\n9442 49808\n29866 81688\n66193 67315\n1348 36426\n73323 87546\n39615 39728\n61193 80817\n18985 23441\n19295 60248\n7008 9129\n7441 10127\n19218 24005\n21661 65286\n26284 53509\n1323 55299\n20234 20996\n12002 57181\n26950 95185\n27324 39620\n1758 85539\n59271 78935\n62528 96036\n30537 89590\n41013 96529\n3193 43374\n9687 19692\n48025 57667\n159 92382\n49075 77725\n16022 57145\n35006 38558\n56444 71900\n9072 81697\n7050 98856\n25581 82472\n732 47826\n26172 79304\n29197 40002\n36503 65390\n37444 93959\n8651 58836\n30841 32422\n20564 94587\n19982 79017\n39226 70953\n14419 95161\n64507 70671\n9555 62802\n34675 99052\n23079 90213\n9122 58648\n84243 92215\n39663 81786\n1421 61821\n8964 17003\n49533 86151\n63664 90319\n15857 81704\n62243 82440\n16446 48707\n80766 96335\n56592 63088\n6324 92029\n2975 47390\n23719 65506\n46634 72253\n8059 18960\n26748 79874\n29987 68386\n51439 65248\n66977 75242\n65487 73030\n47881 64115\n8644 75350\n55714 69023\n54289 73654\n580 87580\n80127 91572\n82939 93430\n1086 7322\n62626 83492\n31993 40196\n14150 76688\n36556 75668\n64431 97439\n40971 87524\n48303 77217\n16472 91574\n41484 80051\n33097 70609\n9659 63766\n55129 69329\n16644 61944\n36709 74441\n65950 77334\n8307 13990\n7509 40142\n90632 95214\n63922 89888\n18080 76969\n25514 78391\n21883 61160\n18215 71365\n58928 83404\n1167 7517\n52078 80432\n6092 14748\n53624 95259\n57371 89398\n20446 41429\n8322 79915\n52706 81845\n58310 79292\n26294 37765\n19785 71931\n42252 71595\n4126 13923\n12235 60992\n18747 23735\n58745 69741\n5777 64622\n64872 84651\n39624 96405\n7678 65577\n62306 71979\n53811 73702\n5335 59236\n1505 40059\n1568 82882\n32782 68506\n34412 88213\n2721 91261\n48578 52240\n41233 68808\n20766 43553\n21446 63755\n49159 98171\n77448 93684\n19222 47771\n11022 55643\n15898 25130\n26027 29200\n63054 66315\n55977 97844\n48447 87097\n38088 58411\n34088 92761\n7664 78685\n52427 55451\n83011 92042\n1280 30330\n22351 55767\n23943 74013\n32380 65392\n66001 71678\n51745 95900\n29967 51188\n2240 55799\n58427 91417\n34869 55696\n53990 63115\n74392 90807\n1948 28106\n73066 95656\n53769 97210\n45132 86668\n10661 77472\n44204 82180\n4448 80620\n36730 56320\n76191 85804\n30912 99516\n11119 59918\n53990 64903\n31086 99587\n50242 79030\n5330 42841\n12303 57743\n9016 63925\n45023 58074\n41297 70591\n63221 65890\n44687 50023\n24821 83250\n35402 81884\n58283 88505\n13349 72474\n5733 98678\n54358 60892\n33351 73835\n56539 85070\n33205 87266\n72829 90425\n7335 66260\n61203 62536\n51671 68813\n53245 94356\n45186 92431\n9368 30745\n63454 90109\n62925 63878\n38327 65097\n30138 64258\n58729 98939\n14348 23691\n3590 76048\n21205 96918\n20908 41322\n41416 43569\n13792 98378\n42926 78220\n14972 15333\n38221 61922\n45358 77550\n32773 72704\n54784 90389\n41244 82898\n19603 59666\n54863 81082\n60439 88088\n29585 67772\n36177 43207\n52129 73415\n34369 51504\n45850 51899\n67265 79945\n36149 50975\n29261 88022\n77436 97661\n5754 80865\n2298 71525\n62862 92190\n38116 85994\n8981 78925\n65154 84897\n53888 94681\n23203 26797\n24256 63645\n67 73314\n4504 85456\n38342 82352\n17525 34857\n20552 38705\n13326 20320\n29022 95894\n11895 49122\n59128 93609\n44691 51386\n16618 88738\n40173 90305\n15097 41378\n66581 93488\n7876 53235\n12081 61130\n4745 10246\n2772 44535\n433 83660\n73610 86273\n49393 96342\n14016 81662\n81057 83879\n25920 26431\n65316 93269\n12133 51889\n9390 32470\n10602 61642\n12991 26889\n2237 86389\n86691 99081\n42741 51657\n2673 3918\n31189 86696\n75179 88601\n83774 90419\n17514 64922\n71620 78274\n75929 87238\n5542 94455\n41641 60558\n16624 53210\n13257 95583\n71931 79603\n51172 52235\n94167 97028\n13176 35517\n34035 51680\n62780 72548\n25102 45677\n38298 78499\n3592 9047\n32655 51885\n5169 11565\n63215 79332\n34838 53947\n89188 92947\n20831 51771\n6576 72987\n26630 78352\n59795 88056\n11410 40428\n51624 69312\n78441 84821\n12090 92464\n31882 67973\n48756 90461\n59703 99503\n85088 87558\n52810 74095\n48881 53151\n69520 77418\n20259 53902\n15336 49042\n55928 86457\n65872 92377\n8572 91776\n12505 19417\n66008 90880\n35203 63334\n12191 30853\n64678 92287\n46608 91050\n73755 77691\n81693 87445\n36345 62917\n47983 54259\n10254 72111\n9290 68141\n15131 88065\n4700 54698\n33892 59501\n3129 20975\n14506 60522\n20622 85544\n22255 99351\n42978 92100\n43931 54869\n43240 52460\n22840 75507\n25666 75509\n62247 69923\n17312 93050\n55758 82657\n25855 65953\n27623 30011\n32015 52798\n7716 40803\n72294 99669\n34020 63593\n30392 65510\n54662 62956\n42778 49667\n30111 65973\n33091 50952\n34603 51068\n24608 99649\n30002 85808\n82635 91416\n32626 35317\n65346 85442\n60418 64607\n60706 72467\n15603 82320\n17963 28672\n3155 68285\n34158 36517\n23715 46633\n24545 81724\n44256 98169\n39930 81700\n17922 97086\n18282 32277\n1959 36065\n78740 79356\n4390 69959\n50335 94506\n36270 55256\n77749 86656\n7933 50664\n55405 68076\n40697 41738\n414 37188\n62523 90481\n24973 77735\n44006 61304\n84691 87722\n16238 58899\n24817 53189\n19022 93510\n40195 98110\n18547 96846\n70893 91247\n13067 14142\n30343 50503\n9230 88201\n42963 71919\n3530 61069\n52752 89824\n63784 63924\n2886 71663\n66271 91107\n45403 82530\n62870 72393\n78871 96370\n56407 60139\n11780 17432\n5213 93112\n79374 82607\n7130 21962\n8818 41027\n64196 85871\n36604 51491\n7793 14566\n16604 20293\n15365 43977\n57069 70202\n5148 89516\n16383 75921\n39756 73836\n65196 67499\n82446 95952\n7567 35865\n41482 45006\n29884 62805\n8233 56432\n45758 84025\n36130 75631\n40160 43907\n71765 91315\n66332 94777\n20835 69742\n27349 85136\n26627 64617\n13633 72120\n47121 71874\n52960 80398\n22071 77455\n47101 96723\n54792 85152\n23804 77838\n17409 34976\n17854 75667\n30418 54120\n2811 6233\n16916 34882\n49483 87985\n57655 77343\n1093 73568\n25685 73880\n30507 88102\n42002 82326\n9769 66347\n11922 49647\n18034 40634\n8729 48870\n38305 58199\n50029 94777\n33223 54545\n69222 97095\n62879 73186\n12039 40255\n59653 89855\n5093 49695\n21075 33673\n64019 98636\n9064 70261\n21277 98850\n55043 63448\n66962 90039\n34377 73409\n61689 79870\n11633 62699\n45177 64602\n41521 60538\n37939 63828\n50199 53910\n8939 60942\n60426 99768\n17935 91850\n83276 91320\n25749 75642\n7203 22681\n67186 67926\n50187 60921\n54132 86058\n66333 71697\n18015 28252\n4500 6896\n1638 80452\n10561 60474\n66226 79139\n13072 95076\n11009 16683\n13888 32431\n29223 82807\n2504 34018\n54862 57766\n63064 90220\n67706 95153\n77226 82450\n11548 92797\n60524 67158\n61831 70297\n2704 73375\n11188 35664\n13287 21923\n21957 80824\n1017 45724\n63083 73892\n33668 90690\n210 42792\n52265 71841\n14943 96899\n10403 97171\n21709 74500\n45017 50184\n43095 55791\n14871 46220\n35693 81432\n4854 73633\n63292 87273\n49811 60866\n8315 56391\n29059 89815\n24614 96923\n41135 79016\n19927 80262\n82935 89305\n85 49213\n7000 55933\n8362 33339\n65659 95535\n41636 50512\n55436 97898\n11638 34094\n6561 96015\n42514 43323\n16815 33963\n29299 49489\n46460 51989\n34127 98623\n56792 70854\n55015 77581\n17484 68251\n32100 97482\n9773 44769\n17222 29321\n17372 75540\n37772 54881\n18804 35382\n83781 90785\n45028 58407\n28644 83112\n946 80598\n19891 45914\n16330 32485\n78011 89115\n12079 33701\n3890 34112\n47870 69639\n6634 89679\n29709 71782\n71418 86411\n27837 32360\n81156 86053\n82975 91888\n9758 73059\n53562 68250\n22166 30201\n53854 64898\n21118 82823\n13158 27392\n34866 43813\n32441 97676\n20503 76774\n5027 30034\n48773 99708\n32481 49471\n33626 55614\n43263 51156\n3607 22085\n17440 37157\n16257 89974\n53751 69165\n17069 44515\n6303 16885\n17025 35112\n13937 41801\n22934 26211\n56375 74159\n79849 87549\n56588 77587\n51686 92065\n64106 69108\n45205 92737\n1033 31700\n880 55768\n5498 14673\n29365 45518\n30785 47921\n40749 73083\n3689 55209\n15548 36147\n12312 74533\n24195 76599\n15165 88040\n14447 16553\n41703 59495\n19455 85219\n46390 53001\n6944 22873\n40825 57605\n9114 31853\n11404 23353\n46057 60301\n25472 44420\n15287 60939\n56101 95140\n10870 13284\n33121 45975\n14749 93853\n27982 63431\n7147 57774\n4346 93917\n31886 84380\n23849 26480\n36069 50151\n31399 36922\n18749 38560\n10406 86375\n504 2047\n1089 5885\n40359 51230\n47865 67606\n40068 98712\n68160 96279\n53457 86760\n30017 65914\n25751 66551\n83308 94867\n5019 85485\n10512 59492\n75694 82268\n27583 54685\n19119 78071\n29608 33803\n7851 47966\n24631 87232\n2674 75886\n40409 45889\n27291 77775\n41671 85261\n8909 67112\n57769 74393\n1653 15692\n21506 39974\n71841 84646\n16236 51528\n20801 78362\n92054 94716\n12437 78923\n12966 18412\n65934 98191\n41088 41347\n2274 85205\n5682 76359\n34755 60156\n35804 61924\n44434 69060\n30801 54019\n8517 19153\n38133 58320\n16635 38154\n5114 40365\n19600 42945\n85206 96665\n59230 67807\n6957 67887\n32519 69572\n45879 59099\n33330 37726\n56993 96778\n31452 42636\n13806 92244\n61653 95039\n2726 92090\n64249 89925\n17773 19963\n23510 98884\n3411 56953\n37628 68176\n29088 96076\n64503 81129\n43871 97302\n32059 54585\n74291 76788\n51024 53810\n85260 87559\n3869 38863\n16133 62209\n18865 52782\n17519 42019\n18655 27627\n27859 56103\n47137 49951\n46811 63720\n38727 82851\n78279 81652\n81378 89485\n12243 93741\n13363 48122\n14004 87396\n29670 45046\n4366 15258\n58753 81167\n73890 89746\n70333 89427\n32086 79434\n30804 58791\n36298 82624\n41880 95418\n63044 66979\n19979 72043\n12285 60686\n11397 13540\n45626 68424\n48196 48496\n35650 72699\n26369 64153\n31463 61330\n28699 93366\n4520 82830\n23103 72534\n41633 69972\n75759 79841\n5468 64771\n12028 18346\n19649 35934\n14967 45446\n36916 90063\n19323 49911\n44704 65408\n7265 26313\n17986 65592\n23793 98069\n1803 28743\n3546 57764\n17070 40684\n30091 49244\n86644 95284\n36286 55449\n31153 61289\n15090 53184\n81177 89554\n54193 77906\n49787 54127\n9925 35136\n47466 80215\n29930 87715\n45369 80300\n63862 72178\n38501 47118\n977 49601\n39601 59847\n57017 97323\n1502 98722\n14916 56153\n55969 68892\n64788 98420\n34789 43768\n23228 29700\n6730 29989\n34888 64430\n19160 27849\n55702 89079\n5858 14665\n27006 46814\n27056 39978\n13401 46969\n13036 60379\n15796 46996\n38274 58329\n89365 91693\n736 36866\n3725 14962\n12989 81853\n10593 48931\n9706 62283\n14529 50656\n75447 78592\n55408 57177\n6257 20466\n28191 83012\n6723 15456\n2211 35115\n1818 61891\n67310 84192\n14522 39337\n71748 92793\n53311 60808\n14802 67986\n26832 37195\n52663 99341\n19237 23679\n10518 19070\n86324 93527\n15823 28861\n11742 37200\n68324 92284\n89972 91833\n23668 43025\n5868 86783\n2410 84253\n1404 9059\n22416 71039\n63907 89402\n34600 35486\n16944 37913\n55650 99295\n11203 18602\n86819 88472\n35881 86509\n6874 54532\n40988 73404\n11579 15060\n25386 47828\n64255 65963\n45041 94639\n17562 20723\n24964 88180\n96502 98162\n5834 95650\n20204 55273\n90097 96897\n50953 80376\n73917 89054\n1214 94667\n55330 87717\n8982 25647\n2111 26242\n54395 91765\n7388 25610\n77959 96341\n49048 62782\n56714 69121\n12122 21180\n18397 74767\n62882 70395\n27206 97649\n34638 52658\n3359 60652\n22565 84675\n23478 77418\n46386 60947\n68179 93042\n10678 15775\n44321 47090\n43370 46593\n38812 38882\n17058 34211\n11015 23939\n66780 94730\n78893 93145\n63040 88471\n42254 76704\n10534 75958\n32051 68302\n25008 28576\n2156 75968\n43777 62125\n17058 89368\n55730 58763\n20908 48328\n25753 40975\n14409 51744\n13215 45059\n22381 30922\n19960 59191\n78309 99900\n9534 32157\n31436 65274\n32772 54562\n4900 86579\n18219 53657\n5471 13240\n49193 86439\n18424 28655\n23277 28040\n76651 81761\n71358 97856\n12576 55968\n23667 48221\n1727 10832\n65032 74753\n16095 93168\n21386 88136\n22115 52784\n28026 60899\n23638 92985\n49488 97839\n83080 95792\n9242 51269\n47375 84516\n18825 45317\n448 88567\n60281 82748\n63476 65985\n19352 53199\n14884 81507\n9084 61899\n1473 39953\n4642 13809\n30408 94828\n11245 82586\n56304 68766\n11555 38493\n41713 90585\n12626 61850\n9050 12101\n19943 67211\n22733 35708\n48997 51520\n70579 73868\n70089 80795\n41523 89171\n61957 79660\n12276 47409\n1373 72416\n91935 92454\n82572 87123\n21732 35127\n43045 75016\n24075 77651\n3633 18795\n3796 14721\n14464 98162\n37680 98443\n74666 93145\n64551 98255\n75624 88374\n79663 81613\n7679 67295\n48729 62676\n35319 75878\n3154 89020\n38035 97540\n30423 92824\n74839 86775\n21188 27951\n22765 75356\n5593 8026\n956 47052\n12190 74563\n12577 23310\n36448 45470\n50661 82813\n52294 76995\n29942 34141\n51819 63494\n6432 69072\n45869 74314\n23447 44043\n18474 58675\n86487 87529\n5589 58800\n29775 54483\n8216 68835\n15305 24344\n87486 99844\n61174 77808\n9307 35808\n65482 81477\n81180 84174\n38153 87210\n14347 82466\n60702 80115\n34679 65343\n15562 68940\n60257 73888\n17497 71331\n76445 98342\n18366 55942\n52445 98024\n30820 34894\n16199 72351\n46546 56989\n50949 51243\n19052 58716\n44677 57534\n1306 38451\n64184 88320\n18097 56909\n3109 27486\n49489 67483\n8927 33999\n75326 81152\n17120 29062\n74648 99992\n51464 84786\n21682 41059\n41093 48087\n42359 75729\n13868 14548\n9075 50120\n10812 25630\n3513 70413\n18122 40100\n30152 97090\n730 68088\n49083 80408\n44341 56967\n10269 98351\n26094 49354\n57139 95439\n66106 82266\n8763 33867\n42746 78994\n16718 76269\n23124 26659\n50209 67695\n81682 90103\n23113 82063\n61644 92505\n18374 36145\n35202 67544\n23993 77236\n5389 7657\n31847 44393\n38838 82219\n63474 76999\n3078 92642\n52724 60366\n66538 85514\n45490 56266\n39082 77039\n22898 42854\n25928 41052\n7112 12094\n10877 15220\n21029 46391\n43803 90462\n24209 29590\n63864 87881\n28085 59578\n31124 92970\n7302 98851\n48573 86462\n10424 85991\n54708 81084\n58764 96641\n59906 92979\n24004 25182\n63858 88742\n52319 63277\n26044 75890\n65774 76981\n37339 98835\n61477 87428\n16278 53144\n24696 74118\n16601 73208\n15172 19028\n42067 79724\n1927 70381\n25579 92842\n44234 66722\n34140 83910\n53421 66592\n69257 89941\n17584 79040\n38583 42640\n50404 86762\n42970 61614\n30845 62618\n22855 76120\n9129 53330\n66411 70447\n39747 46821\n62822 86056\n69894 74229\n11288 49671\n33758 98632\n29081 64766\n7237 51028\n23211 71954\n32625 82878\n15578 37633\n56092 88383\n47135 73497\n31095 34232\n83408 89969\n18310 49490\n29235 92316\n42235 99793\n44789 78401\n86467 89418\n43283 70133\n8650 96020\n1326 87992\n58367 75340\n11109 98316\n11873 61776\n61893 94736\n21393 51881\n18579 66812\n18889 52033\n70409 86834\n27616 67433\n3222 72766\n75584 92841\n34229 68681\n18747 30188\n35435 60110\n15818 73986\n33189 52569\n26333 79973\n23248 72979\n33821 36762\n40151 47294\n36560 41024\n47014 88522\n84485 92866\n35945 97836\n24079 25379\n29815 63045\n40897 98097\n10861 52845\n15678 88492\n29363 65805\n55637 72339\n13157 90140\n33197 47930\n5381 17280\n63384 66647\n56284 82269\n5735 22720\n5004 49339\n51156 93756\n13094 25306\n65666 87562\n41097 50527\n60886 85385\n45976 75614\n39237 44829\n11281 73893\n79327 96316\n12659 54782\n18284 83666\n46832 57881\n27030 27651\n6132 20989\n27341 29507\n53823 76174\n5620 91519\n17652 68603\n42023 50923\n48484 83014\n18346 34254\n13809 53393\n46659 96069\n43012 98336\n78785 83216\n8812 79155\n81014 82153\n13391 62170\n53 36802\n73964 84933\n37296 78014\n12624 77616\n45700 50997\n31330 59835\n14756 17862\n55686 65179\n40373 85630\n84972 91469\n4318 20660\n83800 99276\n23365 52431\n10105 80313\n72355 85848\n28113 49557\n5181 97383\n79634 99332\n65802 95921\n11817 56850\n27909 44552\n14382 91979\n25176 42057\n24022 37139\n40713 81486\n86435 89806\n68891 70175\n85861 93077\n40356 61872\n14989 39912\n461 5622\n5254 86313\n50406 66258\n69480 77782\n33369 89984\n93643 97189\n38670 91883\n17732 46151\n10933 82565\n37105 89831\n3393 75790\n15347 58633\n13551 78393\n7830 89168\n8577 13689\n6780 85370\n65755 97893\n39288 93944\n44609 93075\n60180 99384\n10113 96324\n38874 47009\n34427 58873\n8689 14686\n56448 71461\n7395 62123\n29200 65965\n72034 85779\n17317 86467\n59260 67456\n683 65724\n58890 64839\n19720 27820\n6521 15511\n85738 88870\n15024 19152\n34164 94301\n79492 96748\n30153 96382\n10994 30361\n23615 91259\n34193 53994\n46454 58548\n82350 83375\n69309 85775\n37642 74349\n32189 62078\n21791 86492\n20496 58731\n43396 53538\n21534 94725\n44858 77760\n26130 61371\n39572 84956\n33847 64231\n71826 74910\n8645 43061\n64090 87371\n84830 96038\n23967 54981\n2631 38347\n16450 45729\n41123 51578\n42401 43935\n30003 51648\n47196 73649\n15437 44483\n21695 94458\n65778 81210\n345 14730\n16477 58698\n45807 71164\n47101 86690\n4445 92904\n34509 77638\n60240 79794\n3197 69154\n83257 84522\n11483 68864\n60009 77140\n66108 95394\n19508 92380\n69528 83340\n29104 58798\n34615 45196\n60870 65150\n44231 48585\n98908 99882\n56646 69234\n8872 9221\n62751 76966\n7970 48111\n11219 33837\n46753 94751\n28729 94516\n34034 42784\n15639 79519\n70519 88489\n57288 99378\n58746 83752\n69089 90097\n6911 57371\n19368 68552\n27597 63999\n50009 59123\n36146 36178\n18403 22981\n17062 89529\n347 90298\n2829 67328\n43555 73435\n70686 93163\n33861 51912\n20066 98222\n44063 94207\n34177 75410\n7341 36305\n16331 86052\n13308 86116\n9274 77570\n3626 84259\n57142 82659\n80480 91427\n61683 94858\n49008 98422\n3917 15917\n1297 73133\n21461 88765\n64686 67777\n27850 78547\n69734 83645\n1827 7966\n5089 42263\n22748 89869\n53771 65644\n2096 54520\n23927 61716\n42423 87318\n1489 64861\n21580 32463\n36187 45261\n24331 73048\n43505 46650\n80774 99295\n25065 71385\n55533 86859\n65684 95718\n32447 75762\n777 82214\n20992 90967\n24602 87073\n44721 63883\n45241 92139\n35339 82398\n1719 37550\n32092 88389\n18707 99592\n982 75503\n87760 98539\n43250 78466\n58455 93375\n61532 86231\n34069 39201\n8830 91289\n4257 90777\n7655 36209\n59363 91650\n84240 91721\n26677 42546\n2146 17762\n53752 80799\n6290 49516\n36488 86028\n22676 73315\n531 38421\n67780 72693\n8070 69470\n2486 83949\n31513 56019\n15521 72493\n3948 91752\n15132 72680\n45335 97581\n90625 91140\n3167 26240\n50328 93083\n55258 59743\n71977 89300\n43881 92838\n24530 68666\n66807 95098\n46267 67437\n16713 70135\n50571 78167\n79327 86686\n38495 67438\n53792 68504\n2246 84349\n13839 92709\n8556 30918\n15658 56525\n20234 62160\n19456 31664\n25435 57562\n61613 97180\n43396 48843\n5721 60174\n29999 46850\n15283 25517\n44231 78245\n76044 98759\n79022 82130\n20959 22208\n57465 65453\n4766 39454\n10026 14146\n54388 92268\n60888 66718\n34094 62388\n42005 49357\n27691 59716\n26144 29162\n20179 97393\n26342 46557\n37022 49591\n87522 93890\n13704 81936\n28065 36361\n43770 44742\n36928 74023\n74543 74595\n39854 49496\n18492 25846\n52922 65692\n10861 56191\n53225 96480\n71814 73236\n23180 57085\n32311 90223\n25367 90733\n36427 82844\n9494 80174\n7891 96106\n59476 89412\n8241 26035\n56340 78273\n66338 83047\n6817 23240\n16531 72990\n72976 82568\n5906 92193\n46964 57522\n18746 81861\n75652 79729\n35096 79686\n74974 85754\n91 35210\n95086 99902\n88206 94585\n9959 49299\n60080 76549\n37770 71544\n4321 31285\n14318 15443\n67429 72390\n30926 90945\n6059 71995\n24708 63828\n17767 96962\n65981 69694\n10642 12966\n27636 90494\n6847 94530\n10038 49746\n8321 33710\n58014 73038\n52316 68236\n11335 88899\n20046 61964\n30879 99921\n88130 92369\n47989 61106\n50385 90125\n44909 70448\n30044 59182\n43361 46660\n58807 93875\n24614 25629\n47902 72909\n61473 76585\n2761 87278\n10101 68793\n43258 94554\n953 47964\n5939 83237\n28591 67573\n29993 64262\n13482 91147\n33818 45965\n146 15273\n3991 92610\n19783 59552\n90304 97225\n1897 42636\n36151 93460\n18578 44457\n42390 62206\n64098 86055\n141 92488\n95241 95650\n33482 44922\n11312 15754\n1095 82669\n14292 61968\n28150 91756\n16028 17818\n76318 81582\n50529 91181\n62436 82563\n29066 91633\n65836 72960\n28998 46995\n72084 90306\n57188 75312\n11293 48704\n14348 15115\n28076 98510\n22484 41712\n9537 65685\n37884 62451\n16921 20765\n34947 97587\n57907 76859\n14956 37033\n42732 86774\n34952 38867\n47059 81666\n65203 92265\n89571 98143\n30020 49155\n41738 72627\n45714 70792\n32148 90788\n52337 67333\n11450 36456\n7074 46750\n3264 89970\n27336 65908\n28594 74798\n51334 96547\n33070 93822\n3272 28541\n58626 98997\n53310 94723\n20586 86091\n20701 89529\n24890 96003\n10139 54494\n47096 67823\n12584 89844\n565 17676\n13755 78513\n18091 53447\n40908 47215\n67666 93614\n6533 23197\n2994 41829\n5109 88894\n29578 72990\n1899 21013\n21840 66584\n41945 45469\n47858 93617\n2473 32639\n46354 58425\n19499 81299\n3989 87647\n6332 20864\n48584 82434\n82338 97250\n81074 96188\n50228 81896\n43908 69765\n49273 50911\n22918 86183\n15582 26596\n9389 96826\n82573 92860\n8621 33043\n21759 94556\n81846 88867\n5901 6292\n11112 66273\n801 1635\n6852 54000\n46306 86861\n19079 77237\n40725 67780\n8706 13110\n42128 44562\n23673 98951\n56574 85363\n69094 77736\n12147 92284\n47746 99869\n8071 39311\n10234 55870\n22577 50784\n22527 96856\n8036 25849\n62635 89091\n69554 89966\n6091 74125\n88611 90024\n3176 90735\n25879 77225\n44976 56922\n40428 97833\n31492 47618\n45582 48208\n35940 81485\n44077 51800\n24825 87841\n30669 76878\n18862 84113\n19992 84981\n61557 99842\n22565 95246\n36347 37635\n31145 43503\n7344 59775\n9204 96818\n5595 5996\n22669 71257\n64502 89037\n82124 91584\n61363 98537\n40837 54225\n31721 78083\n15536 73162\n25762 78710\n1173 41567\n58933 94366\n11247 18199\n22858 89450\n41300 83781\n18145 77322\n7281 40829\n75620 80763\n43592 56226\n32342 39408\n23785 58542\n4356 12660\n43233 70319\n73737 78328\n50041 83682\n10877 76616\n57646 91025\n14552 39626\n75091 96381\n16475 81991\n35359 66630\n7637 27446\n45540 77054\n54064 98773\n18986 81504\n11233 86986\n577 23648\n20047 36845\n1372 22683\n65555 80109\n4629 32416\n38010 61695\n20569 88373\n22624 62007\n36452 95220\n73313 75863\n36687 74089\n10866 32037\n9018 43730\n7312 46859\n4198 95015\n79572 98155\n67001 78295\n83719 97541\n11078 45333\n77828 91654\n12574 61538\n35206 75517\n14581 84736\n32275 86309\n71843 93371\n31534 63227\n11405 41680\n57166 83513\n12568 29783\n24620 79291\n43842 85344\n45545 66697\n25001 85472\n4683 85008\n23043 32388\n73088 80974\n5634 38610\n44370 81189\n20219 87208\n8957 61293\n58092 77241\n73000 88755\n34529 88436\n23186 42138\n38422 95289\n33260 90086\n2244 38737\n74533 77478\n7662 40830\n21059 28078\n42481 67634\n29174 65031\n36069 46719\n32359 54174\n44154 62116\n29830 82054\n48732 72865\n56395 72243\n718 94122\n49758 95135\n42455 75204\n59670 80679\n28221 33944\n1877 48749\n8818 97431\n30598 63483\n27555 85544\n26702 71537\n11152 90114\n14734 21679\n29899 32450\n77981 96316\n10262 57468\n13962 41154\n37303 61163\n16531 84323\n1606 44790\n27827 87121\n19725 45544\n78634 89075\n7955 65183\n43615 50017\n69171 77985\n36583 67362\n44027 58649\n5919 65426\n59480 73488\n35916 51601\n66161 93309\n28730 95120\n51354 76769\n23248 44816\n80487 98985\n3416 45880\n36568 64178\n995 14348\n72379 87986\n33655 67525\n59327 72891\n46624 75132\n40693 91009\n37946 55117\n87365 97764\n68117 88014\n79851 96864\n2077 91280\n50100 65794\n24195 44587\n29739 94787\n47377 92371\n26077 59085\n53073 86116\n92441 99648\n57519 83693\n93407 95398\n16509 50446\n95951 99139\n65614 66521\n19529 85683\n11325 54250\n11738 89785\n20570 88304\n21840 61508\n3357 6846\n42692 82933\n168 24485\n6168 50471\n68543 71713\n30420 60916\n50063 75359\n63595 64227\n6273 70726\n84214 88676\n51417 55888\n53519 95601\n22844 62875\n37436 68391\n62022 67744\n38772 70944\n29324 46694\n13018 79663\n53410 56197\n1471 29664\n29976 32726\n4181 50597\n8915 82706\n1812 15255\n47100 83400\n83519 95207\n36413 40436\n17107 55103\n64318 77528\n47999 86715\n40904 41259\n14098 22861\n37303 72437\n33859 82845\n62311 67384\n30788 81326\n47596 88034\n9591 20215\n73279 85633\n8644 46740\n3275 88332\n30335 74352\n9801 37997\n78123 85518\n32860 35505\n19122 69833\n22746 74550\n89699 97722\n24896 69255\n79310 90068\n42928 97688\n30980 62189\n59390 63791\n15516 75954\n45865 63565\n37034 67188\n41092 79976\n56032 56983\n63823 71045\n97 11799\n623 52681\n2096 89522\n60353 88716\n23759 72319\n48361 97862\n16749 51309\n14839 44207\n108 13721\n15692 20671\n4658 67202\n42252 61292\n36880 53794\n58119 99451\n77747 87330\n36669 80845\n34926 64740\n96505 97327\n64876 91916\n6732 99858\n90699 94601\n12643 94379\n15249 36751\n4575 16850\n45946 58913\n25246 53984\n42998 46236\n33723 98025\n12711 21819\n63223 65313\n5626 76990\n25386 49699\n36307 40040\n6538 37144\n3372 58234\n87307 98082\n30314 92810\n15159 18907\n8052 14048\n43358 76486\n16010 60022\n12296 79711\n43510 88663\n20139 82161\n25313 60218\n39804 49217\n5387 34369\n45578 98665\n20181 37885\n13815 61016\n73708 79183\n49619 97186\n17706 24459\n37222 77211\n52446 64869\n3981 31954\n80553 99804\n12319 96701\n42719 46970\n25815 83096\n6827 23845\n26132 38545\n62089 86674\n5951 72220\n25179 31605\n84791 89303\n23866 29064\n44677 97605\n22404 76451\n26263 67138\n60471 72397\n27334 41447\n59710 79119\n44351 58048\n65575 91837\n4278 46220\n61568 82175\n18084 64615\n10705 66148\n38865 80320\n67900 76216\n20956 35311\n56393 79073\n36782 89687\n20161 87155\n57973 94218\n50424 54125\n29079 78645\n12791 67661\n52696 97901\n67738 97599\n17833 75521\n15859 85055\n47394 64575\n28745 45412\n26309 74824\n30602 71385\n16382 45598\n77211 81607\n3432 15556\n34382 43612\n35695 44746\n77539 88108\n74288 89475\n92811 99507\n47462 51224\n68305 70275\n30100 97351\n68197 83313\n38299 92823\n34345 39601\n69355 85729\n24977 82889\n57715 98018\n40968 49748\n7993 26914\n81661 90884\n10244 30634\n46391 72282\n56163 60932\n7987 11750\n52557 57498\n72684 91262\n44697 57773\n1204 51777\n27975 54893\n59415 72054\n11730 22997\n36480 88902\n70477 93750\n7761 57662\n4715 79999\n20016 34788\n37635 55741\n38248 58244\n51930 60180\n57053 83868\n15229 22619\n711 85223\n7945 17096\n44370 95457\n67268 80910\n57316 61667\n53856 68338\n21731 63244\n18915 56308\n25786 96546\n18106 45979\n48837 94255\n22327 96852\n22672 27872\n37143 50061\n92170 97998\n87720 89002\n4299 31066\n55545 89902\n38323 42605\n29350 47458\n11220 54386\n47610 93633\n54692 74749\n42180 56095\n30473 88803\n36883 69719\n17012 17196\n43031 79125\n41621 46604\n84237 91965\n27716 41735\n50057 74942\n21728 28194\n3362 90563\n16326 25066\n19707 97880\n69098 82023\n54332 68160\n24522 72649\n22006 96618\n11270 52708\n5708 11955\n17993 74401\n69170 79410\n63213 79133\n62900 79247\n42545 92010\n31784 87037\n4266 76601\n15149 55210\n30947 49511\n20675 52123\n50818 85055\n82824 87468\n67728 72639\n52996 73773\n25082 74364\n50882 97779\n4010 40286\n3060 42357\n54592 80403\n17299 76215\n2330 88326\n27198 40554\n6530 90853\n52709 62972\n59535 70547\n57884 58634\n29977 62805\n22348 33033\n7449 15787\n5165 61938\n16633 62402\n73871 90446\n25492 67514\n33277 60250\n20268 24239\n3970 85911\n13293 25710\n38884 56973\n72 48295\n10958 95444\n23473 78733\n52231 57502\n5602 13523\n57206 83913\n22430 71998\n82892 95644\n31950 41814\n56617 89106\n32256 58400\n10996 18141\n75973 93924\n63083 64168\n35435 59268\n10302 89443\n80428 99820\n60426 96294\n35298 74767\n38575 84122\n19605 63072\n24471 25749\n7392 96539\n58450 69593\n17892 65324\n74046 89876\n63301 68625\n56524 81655\n59547 72777\n30048 32232\n78854 80990\n58352 69391\n19589 57869\n21645 47709\n35496 52648\n37258 82176\n36450 43158\n15714 68874\n82550 90478\n19072 67090\n38718 86432\n40513 51955\n7563 10310\n71454 88015\n76259 82605\n8463 76564\n68005 79041\n27658 47217\n43995 69341\n27401 60534\n16495 79395\n89566 93231\n18220 69472\n49581 86482\n60386 97500\n8541 13231\n40451 40625\n47291 92272\n38216 59648\n57192 62585\n16840 17710\n26832 46240\n35522 92794\n21079 34424\n28619 77657\n15073 92344\n17177 29176\n75149 93789\n31468 44793\n12508 44170\n53662 81676\n13837 83718\n62104 90472\n5207 34627\n77240 79455\n10585 44391\n3825 74303\n58325 62803\n24988 83311\n66061 97495\n27512 74962\n12344 46132\n27608 48712\n14649 46750\n75299 98265\n27448 94530\n24253 50177\n38259 77620\n7134 36631\n23150 29896\n1115 31583\n16718 49098\n10536 32850\n64776 85536\n40316 88835\n46063 94942\n55805 66516\n64954 87061\n13745 59941\n26466 82448\n5067 43119\n30176 77573\n37981 92109\n444 24584\n59843 69851\n13891 92424\n19731 72935\n56024 99827\n5060 27842\n32127 49551\n56141 94531\n17912 34419\n733 94528\n73989 93329\n54085 75558\n21378 80343\n17716 48114\n42732 58103\n63847 97489\n22673 72739\n49043 49236\n51270 56289\n25711 54422\n10707 10744\n877 48323\n21309 28043\n7317 98304\n46845 99636\n36102 38512\n36336 91687\n9647 60016\n11925 71988\n47602 69420\n88765 96035\n59705 73647\n50722 96158\n11538 31172\n27905 27938\n11470 60563\n6574 12644\n62130 85737\n35668 38863\n16837 41852\n58757 82417\n70633 88968\n15157 21243\n46827 82258\n23782 52944\n90893 94588\n8686 38752\n19083 78693\n47218 64777\n38682 60139\n22297 41688\n40065 40884\n4731 97577\n35941 85496\n6367 99803\n78411 90844\n55389 82304\n2956 12631\n58138 87177\n56989 61079\n16181 19060\n31245 77493\n14071 37495\n30106 56938\n12319 49911\n49651 95923\n49723 49981\n14550 17329\n66362 72626\n845 49168\n21551 38054\n32561 40763\n40977 60239\n67856 90602\n39162 49222\n60811 94918\n42518 67016\n44404 84472\n32420 75167\n66577 86930\n15272 53420\n29703 38873\n34019 61554\n53223 82980\n83751 99059\n33616 73287\n4154 35499\n2534 49938\n26478 54356\n73047 98652\n69291 92790\n1669 51262\n19582 74288\n72774 99789\n29219 97234\n69273 79299\n54710 84802\n7026 21450\n22305 52863\n93855 98115\n17545 38058\n4729 73899\n24304 87943\n15490 97610\n64084 86975\n66139 82736\n20945 42905\n20655 50518\n47823 49354\n1713 98652\n41788 79430\n77574 86254\n82319 83439\n40114 53941\n15226 35002\n35986 84585\n6914 65223\n12502 89551\n16156 43520\n24268 35862\n49491 64672\n18014 50685\n85182 97577\n50055 61574\n5674 32390\n9465 38635\n623 8238\n65978 76767\n74351 97693\n67070 69693\n4026 40043\n23303 76020\n34432 52066\n14179 18661\n17761 99311\n53407 61681\n36349 46852\n2542 19782\n45191 77172\n1461 78179\n32778 72635\n85508 99541\n66413 94996\n17325 47788\n7889 64147\n25426 83474\n13260 82117\n8996 87351\n88565 91664\n3023 11073\n12027 28676\n17396 21124\n29459 91453\n6372 66605\n61808 92045\n47027 99499\n41946 84600\n8099 69477\n32555 43889\n34708 44858\n24324 62747\n41989 77421\n28490 50978\n81858 92936\n42778 86013\n18626 95287\n14743 29288\n59662 92777\n22279 31227\n71040 94000\n21394 43926\n26200 28165\n41128 82066\n6375 83071\n115 93660\n45422 52281\n12838 96908\n15171 40434\n74341 77294\n44627 70123\n56129 65380\n88083 91673\n3448 40215\n42095 46842\n16636 28670\n19065 76138\n24349 59136\n4024 7297\n66910 72029\n14946 30222\n23256 34366\n35283 64673\n884 20283\n25756 60547\n26909 86874\n13451 88235\n75509 78470\n90554 96985\n62834 70463\n78365 90728\n21621 74194\n18389 35461\n43078 76142\n42441 72569\n80312 95832\n22591 45821\n12623 58103\n5829 51785\n8721 83111\n53091 99075\n36179 60476\n37991 41258\n11524 79388\n32797 90903\n63437 77297\n50903 60719\n57472 58122\n35179 93556\n40511 63057\n486 96580\n25767 45000\n14763 69055\n75157 96872\n17770 48566\n55450 74566\n9485 80828\n5233 76451\n24965 37830\n28713 54138\n28284 82001\n8360 38056\n48619 86516\n19877 98763\n8865 93861\n37841 39782\n41015 67039\n19662 69741\n26212 70229\n7754 51747\n72110 86220\n65806 89225\n41865 94110\n16122 68798\n39242 51337\n24256 58517\n7495 50721\n65370 72655\n20909 55452\n3558 26574\n64257 91686\n31110 55709\n22424 61844\n28509 53093\n10808 49311\n7241 29265\n41534 85015\n23799 35160\n12836 30598\n38146 45742\n62663 67947\n84362 87952\n35472 69218\n30316 35081\n48433 50992\n69733 86712\n64412 94852\n21133 54419\n20417 25763\n57648 90248\n21498 55196\n38293 80469\n29397 94918\n73415 76087\n44830 72457\n10414 43702\n11919 25194\n13260 79220\n10293 86171\n3997 22428\n27202 66527\n75303 86448\n3017 50529\n84133 87671\n61107 91949\n18533 77197\n4697 27600\n14912 55279\n33387 81733\n13719 54451\n8209 37497\n5997 42331\n3790 75660\n13236 77904\n5455 35709\n75739 88842\n4961 54666\n49055 58110\n48941 68119\n10492 72943\n25520 34645\n18465 75384\n84413 97424\n36678 39516\n44436 67767\n13461 78336\n26381 61470\n64698 88759\n24910 63132\n4047 95010\n64341 77470\n10417 74923\n38552 58141\n2349 92973\n12518 74046\n9850 92032\n18476 55754\n51491 87014\n31181 52617\n34888 38363\n7374 64628\n35174 91572\n8238 16017\n49342 83848\n55641 99090\n335 61855\n11000 68609\n14176 34775\n74903 77451\n8927 35969\n23839 44570\n44865 90604\n47012 89453\n12539 48236\n20134 95971\n14298 62924\n22849 71331\n40219 40729\n4763 82307\n5652 77289\n37739 83207\n55933 58576\n63162 77151\n30870 51358\n62110 98501\n47145 78007\n69892 74875\n1505 96441\n9046 78088\n13071 42740\n22650 38294\n29299 96193\n16157 68849\n11516 32484\n47160 50871\n74640 86500\n8400 62424\n10201 55106\n54039 95019\n64566 69188\n16978 61586\n22931 54767\n75826 86753\n9243 20330\n30814 79810\n38357 98923\n15334 80113\n4955 33000\n32911 53744\n47499 52318\n77894 98624\n13350 88888\n43612 97740\n5399 9752\n1033 83561\n18057 87292\n16771 62718\n71028 74768\n23146 52065\n56034 68518\n7707 14597\n83222 85286\n51799 69079\n40027 48114\n28681 67365\n36430 50793\n13373 77437\n32369 97122\n10384 59976\n44378 47751\n50810 88922\n79622 90580\n7741 39626\n25461 92073\n29595 94141\n12876 58482\n79415 89445\n30220 37264\n31270 63610\n5776 48866\n5371 75140\n55850 79970\n13137 49602\n79275 94950\n1636 59714\n51994 64916\n9621 16730\n6939 31550\n11069 50978\n14693 16615\n43588 51195\n54954 62719\n90097 90699\n37527 93181\n35032 48214\n12632 15309\n16239 33510\n75005 79724\n929 9020\n11065 33798\n19195 52384\n28994 74346\n43097 64525\n2853 44353\n9168 63616\n22568 80449\n28307 87366\n1327 1559\n17485 80161\n57643 96672\n22596 75434\n17175 54389\n15205 66679\n35866 61542\n32896 74440\n12549 52601\n37793 56381\n61739 95001\n1871 76545\n31320 76949\n32555 56085\n59526 70276\n30314 96347\n14430 44523\n34064 48122\n28137 93771\n47995 90965\n45211 86419\n60083 62807\n22534 53131\n26412 81962\n81133 83630\n10272 68911\n76099 93565\n2788 46351\n4445 13076\n12488 42068\n3041 97634\n24202 48856\n44257 62953\n7281 9303\n9285 15853\n24673 78176\n50501 51637\n16609 47522\n74497 80508\n18652 72206\n24106 89718\n36640 77361\n20894 40772\n14441 26032\n46073 78657\n71380 89910\n10260 20907\n7809 78711\n1821 17648\n55290 94464\n31612 43993\n38149 88366\n17387 85952\n13100 30923\n36741 79604\n67840 93920\n413 5746\n78459 83155\n1617 75574\n46131 46853\n57968 66516\n43780 65342\n34375 59542\n64997 93610\n351 93003\n4134 31885\n34519 39168\n4787 57309\n26381 93235\n54 54194\n12386 54036\n1317 39983\n23730 73735\n14283 15778\n3314 26757\n77240 79020\n40318 86607\n12502 56189\n3197 39181\n33798 53192\n10000 27665\n12930 64378\n38744 62554\n13654 38043\n57173 89131\n11755 25983\n10712 92389\n17790 57152\n29894 59490\n1429 93018\n3935 68085\n22008 85881\n6499 31807\n47976 96423\n37648 60079\n68388 95487\n24661 45385\n10773 74694\n57372 91592\n38232 99134\n4794 49401\n8397 24397\n37660 90583\n35716 47594\n18627 46181\n19043 34801\n69643 98054\n31125 38103\n4371 13687\n83199 93025\n54367 75565\n49881 72907\n4155 40329\n13963 96261\n45254 88671\n15117 67221\n68253 73467\n34181 42842\n34184 59236\n60181 76677\n48722 50646\n431 91893\n51715 84797\n8498 79435\n59761 83870\n40697 75824\n37746 85540\n329 71858\n7850 98382\n23314 88108\n50303 93005\n4724 15709\n28778 41815\n16381 94922\n32036 55827\n9872 85224\n31372 65669\n4348 11462\n1545 54642\n14281 16305\n29390 49659\n9446 73961\n5473 57745\n11354 20386\n19044 46499\n63934 73546\n67487 90445\n16959 79039\n495 80316\n43782 92483\n30963 54853\n74257 92423\n5188 71373\n70592 74692\n59772 75530\n70090 75811\n15781 94522\n43167 70200\n1223 12808\n26072 57974\n7245 46868\n33353 42904\n51247 89279\n75917 95862\n14916 67051\n49927 90453\n72051 99443\n32586 75896\n10102 28216\n42700 85624\n49085 94401\n34655 46109\n38459 54894\n1172 26621\n23896 41892\n64609 83646\n70783 72161\n47796 51968\n56155 63827\n38911 71095\n18771 60407\n13863 96785\n41992 92155\n9109 68326\n4892 56943\n23826 91373\n35405 44157\n60889 98983\n85751 86157\n50595 81433\n5423 42597\n6181 36041\n44949 65725\n70765 90579\n81179 99386\n57011 68456\n51680 57407\n64043 66935\n25609 46084\n51974 82202\n21808 26609\n40494 99946\n4627 15500\n54386 76031\n30238 80360\n1012 31121\n26606 96273\n26696 57842\n58636 75540\n18721 62350\n37569 72517\n21669 52675\n30866 66368\n9359 75846\n52451 57894\n3610 62716\n28306 98824\n3854 45071\n49077 66620\n56424 85828\n53492 67872\n46311 84416\n24369 51623\n41132 92089\n17089 48242\n43693 44267\n5507 86373\n26664 77064\n22467 72170\n14061 61126\n8218 90905\n1722 2453\n65538 84962\n24850 72371\n20843 89769\n7030 50820\n34665 34856\n8810 71954\n9941 98058\n21647 61623\n27690 88535\n46111 77433\n20303 98512\n15475 67043\n6521 18725\n63354 70127\n55123 78367\n38375 55963\n32898 78202\n46537 81241\n3227 5535\n27842 88695\n13500 44111\n69864 95277\n70587 87134\n19657 96205\n44745 96822\n21842 24552\n14256 95001\n43811 81773\n26426 39931\n11407 25484\n16071 18446\n33173 75724\n37742 59718\n24974 27353\n22665 75230\n53840 56974\n33950 42169\n2053 69630\n9209 84226\n15548 47806\n38791 69154\n49925 66583\n25386 55900\n28047 78703\n7763 13378\n24169 41995\n75264 82734\n67731 69983\n1252 50224\n18384 28604\n28176 68870\n9698 63989\n51154 93598\n92632 94757\n5623 8604\n30357 37907\n34868 40062\n25976 69911\n19856 20166\n2823 9120\n50707 73222\n88185 93325\n1338 86760\n54044 77591\n7303 50239\n44329 94107\n28413 39556\n23622 80086\n24748 74036\n1780 97661\n42884 61034\n63018 84846\n49845 91357\n81843 90410\n16499 47542\n60130 93823\n34459 88051\n30081 94283\n19766 57068\n5988 58706\n6857 12252\n19832 84286\n3877 61575\n10326 62310\n10966 40126\n44681 91423\n81186 98314\n12886 31748\n8945 57202\n43880 93052\n29786 39032\n22443 49075\n68034 96694\n1565 25901\n42189 98780\n14088 85500\n19020 50056\n58762 81010\n64930 83941\n12099 99482\n58331 79352\n10206 38341\n80343 97782\n11739 56853\n63220 96805\n50262 68216\n53473 81391\n83227 87154\n1415 78599\n2940 64255\n55278 93506\n8966 49716\n16617 54621\n53779 71176\n2358 77506\n14330 30767\n10920 13104\n69458 85737\n24123 71386\n25368 45955\n10594 92614\n4817 42384\n18588 91935\n48378 98422\n2309 82039\n39475 81706\n16531 86922\n1270 15871\n39052 82979\n13352 71063\n48939 53992\n93034 96795\n18766 44064\n5562 91186\n42903 59655\n7214 14786\n34639 96573\n60645 79642\n27424 77209\n38477 78312\n1138 36920\n3165 63717\n3361 51780\n8924 92388\n37510 38388\n12919 98649\n15452 20798\n9513 46703\n1131 48846\n15244 36336\n8166 11683\n7591 91556\n55002 86935\n6432 65194\n49657 57702\n33880 83888\n8760 72517\n12622 95141\n16593 38002\n68821 71994\n21602 35238\n23234 69154\n10430 71756\n17742 49447\n43549 55322\n27732 78569\n5754 51014\n49705 78217\n21828 34828\n27220 73844\n2982 86947\n71499 81426\n79405 85161\n9045 85264\n38895 83401\n65402 84507\n50414 69471\n18575 35179\n21678 80062\n44305 57472\n171 93220\n45325 78410\n53402 91845\n1585 55880\n51426 74799\n14777 30683\n12651 32574\n7699 12651\n63706 74742\n25780 97292\n68207 88923\n74794 96901\n40146 61680\n8488 28806\n9105 35991\n31911 59644\n8679 62635\n65779 94037\n9761 66175\n54143 68239\n20529 43225\n19496 73313\n1105 53093\n59420 75298\n32493 59717\n6074 93352\n10731 51974\n44387 74075\n16012 61712\n83140 84807\n63893 84286\n78229 92805\n12438 56514\n11209 59021\n72724 83353\n20574 86979\n5070 72842\n23610 65919\n52364 97256\n29351 65589\n13649 94567\n76287 79712\n29889 60811\n14014 83647\n40515 92574\n54388 61233\n146 93279\n6870 68105\n17681 99227\n19576 90227\n39996 80690\n11025 67079\n44786 58840\n13214 99865\n14879 38143\n27623 70120\n49798 89656\n84555 99422\n10328 12731\n44806 50356\n15069 61791\n14535 93905\n27555 60379\n71212 93033\n16417 17343\n12140 50651\n55247 86203\n36563 47466\n63225 97442\n53637 66770\n38207 84521\n23448 86068\n94182 98612\n19971 81577\n10984 29399\n11405 16910\n26050 55765\n21488 84925\n4261 78919\n70470 77421\n9602 12876\n17883 23451\n45410 66153\n19728 52371\n56539 83872\n7591 41906\n81103 87815\n19165 76820\n631 85908\n57884 65323\n75536 85828\n8069 99482\n80192 94035\n8078 52747\n82174 86669\n40278 41898\n95496 99849\n14998 69346\n26234 29648\n2620 45992\n88401 96183\n29679 80679\n35783 56992\n5819 86974\n26476 54309\n42840 98988\n18961 96823\n36340 55391\n13700 48214\n32544 94491\n10090 76503\n36687 96466\n22599 47371\n22589 48464\n12255 97493\n19035 66435\n43669 93553\n42583 68807\n17872 50148\n84196 97559\n12991 48071\n81184 83374\n57033 82324\n74213 82159\n65923 80058\n2998 40310\n56872 58460\n38035 50091\n39757 58065\n61704 63502\n7096 29928\n25798 34720\n6415 30253\n34536 87122\n12584 86864\n48313 48779\n40948 99681\n1304 73474\n37799 98962\n77373 95532\n52003 92310\n16420 81501\n7101 96511\n11588 41476\n48620 77494\n22548 97715\n12963 82817\n26909 67206\n19371 25420\n43557 95209\n24092 71146\n39618 42639\n77298 83209\n10567 78413\n12613 99858\n11087 97816\n8231 11771\n63381 64478\n5841 37665\n31612 83092\n89323 93312\n21604 43748\n33673 93948\n28934 52796\n82822 94562\n26245 63080\n39820 84582\n27753 97701\n83843 97820\n43902 53822\n22938 89480\n10784 98895\n90700 91280\n33344 71481\n56793 87744\n18304 44228\n453 39643\n5701 95424\n51083 97329\n27954 67311\n70802 82856\n16825 79273\n54488 80284\n17507 35905\n22199 58041\n41144 69499\n58834 97257\n77603 91750\n3383 83785\n53525 90052\n25461 54149\n36756 45298\n41529 44249\n72350 99213\n6720 75962\n29773 37090\n36060 50320\n33304 39658\n36219 53542\n15636 79219\n24292 65913\n68659 75210\n74093 90635\n13358 28195\n58144 81403\n36925 38408\n42917 43624\n76744 86057\n77614 85801\n19399 90027\n17640 18738\n66652 69809\n89326 99160\n70364 83127\n39991 73363\n54346 83736\n42089 68631\n3653 21113\n54493 98624\n67299 82198\n54126 80095\n55377 81627\n19755 63487\n33403 36200\n10483 39046\n3964 6899\n36787 91782\n10339 67839\n22099 22181\n27753 72851\n15499 20123\n61988 99282\n53100 54310\n15665 77149\n61074 91350\n24684 94444\n14314 64330\n82184 83988\n54836 78376\n48980 63698\n51196 75584\n13899 97276\n72883 81217\n7663 89607\n43697 88372\n20445 82023\n40731 51611\n74134 98699\n9096 23335\n19572 46120\n36836 57218\n70147 77180\n20156 58819\n24649 75559\n43727 72549\n58044 90512\n42438 95168\n45447 47052\n4220 46541\n56117 98417\n3184 94225\n29351 92139\n85219 94731\n34958 63321\n23896 88455\n51787 80977\n17128 86810\n22079 43266\n59890 68776\n67266 72194\n5176 48290\n23794 41996\n43330 61027\n13552 79782\n3956 54590\n73848 77231\n4438 83572\n40369 96401\n14622 60300\n63483 88906\n18130 60434\n16043 81722\n30080 97434\n22977 63309\n15220 75707\n16930 98787\n32267 87593\n4207 59642\n467 23384\n12763 41030\n78405 83994\n33468 70700\n13976 72280\n9938 34788\n46426 87593\n55267 63952\n23170 88034\n16629 60706\n25822 63622\n70753 73587\n2103 21531\n93242 93824\n18337 80380\n6430 68131\n30946 75823\n16603 84766\n73240 76260\n5195 70948\n69366 78083\n1559 46950\n35747 97303\n25287 84565\n48807 83297\n27921 51489\n5423 13814\n33127 89101\n85000 92655\n41796 73914\n20455 26636\n4654 33690\n53399 89108\n29566 53530\n35834 53890\n67185 82236\n17267 67933\n83084 97909\n35451 61288\n80205 82964\n22149 79339\n87739 98821\n70418 85774\n18607 88356\n55931 78961\n25481 71839\n35860 83048\n16515 80218\n35667 85325\n26920 29996\n62472 79438\n26225 87754\n5973 98930\n11356 14249\n47798 49407\n222 37276\n40915 54441\n25571 77174\n55729 97843\n54441 87826\n15061 83784\n18446 49409\n1524 5476\n10517 58089\n22698 43673\n47258 61676\n30156 32001\n60906 76924\n15840 29208\n87411 87818\n6483 28550\n9961 84929\n9776 49720\n86475 88030\n62884 85039\n13324 90849\n76550 82180\n55860 56067\n63411 93058\n50904 84424\n63472 80708\n61752 68391\n2064 81967\n22499 99983\n31658 57757\n47477 53949\n44767 63093\n9919 55741\n34050 96799\n21361 41077\n44959 66102\n38304 85365\n35144 84553\n16512 91437\n589 53991\n2595 22474\n33722 50094\n76168 80227\n51841 80057\n8472 48223\n32886 90072\n4970 90457\n27397 70979\n43471 52641\n64001 79176\n12606 64153\n45713 61835\n22408 26172\n19397 57084\n88111 90713\n60381 99580\n3178 24377\n11423 77941\n3147 35021\n59766 92327\n45385 79974\n24644 86924\n25290 88848\n70821 79968\n82976 86726\n40827 67256\n944 26214\n5821 39230\n54120 73646\n2375 32224\n29948 91876\n7020 31831\n57228 89444\n40814 64289\n77445 92670\n8107 69689\n66970 83507\n83748 88223\n36943 88421\n46719 73020\n27390 91717\n19074 27693\n44740 78954\n87055 97304\n44309 55118\n15530 67333\n11903 49734\n49986 71062\n18640 31756\n57495 99169\n87723 89142\n32538 60112\n16505 76727\n44519 61320\n59610 67057\n31431 74516\n53061 53455\n17401 23963\n57932 81452\n20263 79282\n18063 91319\n10056 64106\n91667 96651\n46627 81120\n37697 81013\n38105 66362\n12485 52934\n40712 54026\n7299 67943\n11939 18969\n45898 53837\n35315 79109\n29628 35809\n92668 94860\n35485 87697\n35167 62330\n26808 50225\n10868 40503\n58867 68046\n8077 14751\n15297 71103\n5066 98451\n18070 81038\n29473 51805\n8120 63287\n2801 9326\n20509 63717\n49919 83155\n60795 72360\n30556 54113\n49303 67515\n49283 98449\n69672 72825\n11589 76590\n70297 74922\n28263 86255\n24459 33098\n57012 74503\n38328 63400\n17568 89400\n9325 31955\n26786 54994\n40765 83528\n69777 99402\n71399 93344\n24475 88240\n7906 15666\n12243 24864\n7645 47804\n61735 68193\n55649 69464\n57453 68188\n42729 74530\n71479 81903\n36533 39346\n4736 31381\n67562 86622\n3474 32028\n45653 97933\n26635 28877\n889 94728\n76421 77833\n46998 60487\n11658 65762\n43308 62296\n25839 95051\n16470 37588\n3807 92519\n74810 98352\n49809 57514\n27205 35261\n8352 68376\n6929 95968\n7891 39852\n37506 74850\n62579 97854\n13389 18081\n47900 67629\n7651 98245\n58298 64352\n40522 94480\n29929 60088\n14055 77136\n34745 51307\n15971 41760\n60196 60477\n1531 42477\n22584 27127\n45664 67676\n60275 93850\n15428 74874\n31665 88302\n13518 82846\n7176 82852\n1974 60653\n14764 63908\n34506 48802\n42918 81581\n52043 56317\n21179 62847\n9395 20528\n70738 77794\n23208 65360\n23487 26008\n6644 50900\n36462 61044\n19795 93160\n36885 64582\n20119 38313\n64567 79723\n5887 69014\n24236 43952\n35876 86594\n38401 76588\n42868 74560\n72305 94855\n34822 64477\n11524 22994\n37517 47520\n15376 56749\n21854 35342\n26304 85325\n34701 78861\n60482 97103\n20878 51610\n82401 99922\n11942 28475\n46714 90526\n17544 48126\n37824 62413\n26324 73363\n25694 73528\n36913 57632\n60204 95336\n35343 52765\n33232 40396\n43444 54562\n24557 97182\n1054 16514\n31380 77917\n37671 98285\n61122 74195\n79184 92967\n34213 53883\n21992 78841\n23264 93845\n4227 43766\n8190 13593\n2604 88222\n23958 64041\n16122 73393\n15226 53641\n73524 98342\n41728 49069\n41031 74386\n24986 76424\n85904 97526\n48229 74051\n60949 94248\n32443 92308\n54517 77208\n8902 27380\n48168 57304\n17066 96182\n66314 85118\n53626 65777\n29057 95617\n11766 22065\n53259 79228\n62140 83491\n2917 95119\n63925 84215\n16174 68192\n83621 89659\n13846 38405\n14015 78217\n3490 77622\n11790 91458\n36072 45629\n7326 77969\n38868 50580\n41337 75920\n6094 44179\n23945 27514\n17321 45234\n47523 58496\n43005 99788\n35722 63545\n2967 79099\n77329 96131\n35735 64619\n14980 53632\n1730 15184\n4317 19735\n64108 85845\n48849 64909\n34469 43873\n72101 79962\n6627 81387\n10292 74595\n33565 99998\n2899 53383\n14701 88647\n9235 85491\n15762 20225\n56004 66978\n28487 52631\n42530 68392\n71923 72046\n29328 38062\n29856 32447\n61673 76123\n32325 73463\n47613 48078\n38737 97070\n10736 60013\n23251 96695\n29259 39130\n30587 83642\n38541 49281\n20443 58075\n34408 63138\n24038 98604\n58270 62152\n80302 82902\n27631 58896\n8090 95244\n51386 86075\n40406 47618\n40237 53310\n14643 66132\n2710 34345\n50098 87710\n42716 63403\n54762 72620\n60822 73069\n19003 68649\n28657 79738\n9087 28226\n12160 89535\n16247 35502\n30249 48211\n59572 70317\n1042 35133\n55388 98168\n43320 87053\n14241 30331\n56622 64723\n59367 68791\n20944 33242\n68246 83108\n26831 34729\n25301 26642\n2254 91849\n40995 75798\n47477 78356\n23199 73113\n9889 87251\n16250 59823\n35482 85934\n37084 94302\n15025 18045\n51917 70976\n6087 76860\n77515 94713\n19066 62455\n10909 26817\n5707 11971\n416 74447\n45038 89519\n8512 84804\n58653 59498\n4467 58828\n23959 69941\n75988 89884\n38808 53497\n7081 73991\n57731 79714\n35600 36499\n35183 83137\n79002 98291\n65018 65440\n67470 98275\n64736 90810\n81966 88991\n16134 60042\n68838 86638\n28840 30348\n32366 57630\n14830 38205\n33750 52477\n36083 43930\n4609 70897\n567 51343\n9191 97115\n27388 61721\n25352 36237\n54708 62942\n3324 3384\n64037 83745\n27406 33850\n46825 53018\n16309 64451\n54556 70548\n4434 42341\n4732 36351\n366 65679\n61862 72789\n59226 80424\n32823 39375\n4387 95189\n64673 74298\n45159 95650\n47054 48230\n47998 88969\n2577 41865\n2662 70060\n8700 91510\n9893 19071\n57712 73265\n29338 36062\n28540 38022\n6738 49398\n43892 60428\n30964 44901\n6368 34809\n77941 79692\n83815 92880\n17453 98563\n5564 37571\n94850 99421\n73618 90778\n10447 63921\n15614 76844\n61182 77956\n37282 88737\n71665 72444\n23610 99034\n40061 85408\n38515 56638\n48786 54199\n33900 50928\n34995 86512\n69884 91166\n16077 78768\n20702 45439\n11156 16449\n16627 65622\n27410 39914\n29332 69637\n67958 68092\n4616 40063\n53822 90816\n33088 52871\n5506 27586\n3455 26882\n32114 69606\n20826 29079\n20062 36221\n41426 53064\n25396 47123\n37763 61551\n65375 83189\n22271 34424\n7143 44590\n46218 66342\n15383 84072\n29459 71720\n80 35416\n64193 91666\n60161 94070\n43018 56029\n75863 87819\n63296 81716\n20885 65204\n41490 71426\n57210 64711\n3452 92576\n2643 41610\n63089 88344\n58488 93440\n30094 46901\n17202 28525\n50584 58900\n35704 74424\n9559 9975\n76951 92247\n36614 57004\n9443 85102\n17642 77814\n31695 37959\n15981 22354\n84174 98801\n172 75616\n51013 55839\n88522 91567\n74557 97704\n81926 94017\n10147 18611\n1805 83929\n39001 43502\n20732 20778\n34560 43735\n25162 83265\n32109 41174\n17006 95667\n16352 28700\n30631 61379\n35464 55546\n15358 60738\n45794 83769\n11246 81032\n17788 34799\n49678 78468\n71594 73056\n34910 49392\n44591 52222\n72095 99964\n3181 90725\n24240 48490\n17746 31946\n11675 13588\n8556 30538\n10411 91932\n44427 87651\n55704 66251\n62031 98475\n20831 45846\n12283 86137\n56647 91399\n88432 95146\n5695 91896\n13339 71050\n71464 97122\n27984 76250\n48049 59332\n56988 83688\n87987 93860\n65965 69163\n20771 79923\n11003 37990\n34394 53530\n10771 33943\n50149 95948\n37305 52869\n1841 97812\n1931 94904\n22296 79896\n26497 91880\n59942 99938\n55968 74170\n41159 44700\n27627 92281\n45915 96896\n45440 75091\n41523 50837\n4570 55990\n25308 43005\n42073 87378\n23639 46826\n51910 62933\n38912 77026\n16223 91080\n28357 88552\n5151 86829\n5904 71983\n51777 93168\n87106 92403\n81563 91174\n10829 30461\n33649 34186\n25410 39057\n21983 79203\n25084 43113\n4187 44068\n73972 96556\n65515 79882\n35398 78339\n69092 98824\n54933 60023\n21045 22596\n67000 78909\n43294 98909\n4753 12828\n28932 48637\n75994 95049\n20160 60135\n4003 49879\n9191 11446\n19996 29083\n3435 90487\n27071 49061\n23482 61743\n48128 94553\n14558 87780\n5475 56763\n56713 88078\n47851 80454\n11085 88085\n9462 88758\n62191 78354\n41744 89289\n35521 53002\n18727 55777\n67240 80555\n14161 62813\n31484 81122\n7552 83152\n4566 27215\n45335 77795\n14108 24428\n65487 92666\n6510 73501\n28990 30353\n63336 66598\n59923 68872\n25308 66878\n56232 85760\n34262 98643\n35129 98085\n71811 82061\n48674 57461\n31731 55929\n24105 99084\n55060 65118\n69409 96673\n65399 92079\n2771 72948\n57915 85117\n37534 43702\n13621 60610\n29548 89924\n21199 69997\n20567 54053\n67403 72548\n12740 42180\n46086 70388\n54121 92527\n29553 51405\n81997 94133\n25782 36706\n18678 34827\n41668 67285\n62579 71534\n20509 72688\n15437 70265\n39299 68403\n49513 65875\n11549 53837\n40763 59082\n11921 30558\n57282 74358\n52459 62666\n10376 98516\n21730 22394\n49687 68688\n95737 97116\n89084 98630\n5793 53829\n26467 79859\n2486 61194\n36807 63536\n5218 58929\n20865 22695\n55100 84358\n22754 73544\n56433 76877\n54113 72221\n7263 62687\n7726 49048\n8848 27372\n83627 84621\n2568 48126\n12735 92903\n45120 59499\n37396 79523\n2855 51157\n31288 94300\n83372 84580\n22951 38352\n29233 55807\n28285 92080\n6936 68544\n23434 59420\n41731 49039\n33978 38249\n38368 96732\n18108 22223\n10122 89911\n9632 43933\n9954 29574\n56939 64353\n79699 99067\n15363 22962\n63003 90665\n6445 63710\n43011 81401\n5715 83772\n12696 49006\n59986 94573\n75174 87440\n45650 87572\n25971 71772\n18785 74868\n8541 44290\n24037 95661\n41876 61071\n37293 99295\n6897 31552\n1370 64462\n7257 92438\n47605 59915\n6821 46900\n10024 36321\n13319 77877\n2889 92167\n27715 51321\n64731 95159\n61979 67101\n4003 64569\n21657 78717\n9697 43663\n27233 49582\n2590 8294\n11746 61645\n47837 53093\n25422 57954\n48297 55919\n54962 79773\n29622 68206\n68627 95508\n71691 80942\n12374 79417\n21731 87891\n89168 92288\n33436 39414\n1961 8712\n23118 58336\n44694 89512\n39527 87649\n74352 86681\n33776 73577\n85682 89533\n45630 99400\n44586 94481\n145 31352\n24630 90132\n50285 69184\n8482 34792\n22732 30037\n28738 73051\n40160 70550\n12557 94754\n71758 81686\n42577 64872\n15000 20866\n8316 50554\n19134 83133\n56843 79269\n4639 26561\n50357 79916\n92696 95993\n62552 92445\n24610 42855\n33230 72763\n42511 80062\n68932 83393\n44256 62804\n43239 67023\n5505 48881\n412 55805\n22307 87009\n10927 86428\n36889 83667\n76200 95326\n54848 58443\n38215 93535\n41288 47355\n66076 78579\n34680 62034\n35634 55501\n23554 71156\n38939 88673\n13946 28331\n2947 94157\n57196 75307\n6799 57287\n18072 72763\n48613 58149\n14388 74000\n35306 77642\n2016 47567\n1383 26784\n1543 50757\n24011 86520\n13566 18299\n4144 13361\n2989 94360\n4034 62829\n6911 63092\n10575 64601\n37455 57966\n38998 78358\n22049 27713\n44080 46764\n25464 84757\n76850 93815\n67807 96413\n8237 31914\n35257 90345\n22682 77311\n13961 18016\n32996 98666\n23876 58941\n55395 67801\n9518 75486\n7719 73313\n53160 77854\n9150 42364\n13702 75520\n49756 63565\n41207 70970\n30771 80590\n37956 89761\n40984 75337\n8935 45691\n34663 93699\n8211 44793\n9650 84153\n50421 72086\n9734 61615\n34689 46748\n43855 89654\n4012 21199\n44597 86423\n35082 52094\n43690 90125\n15791 30882\n15814 93270\n11347 81833\n1382 33317\n45919 97236\n62337 96719\n30789 32785\n31110 96747\n36384 87186\n26491 51389\n53630 65001\n20416 26565\n57324 80943\n3819 38785\n56531 91838\n20159 79498\n18547 52079\n18275 63400\n10570 43954\n18712 81579\n70087 78034\n732 98612\n47721 65302\n41360 56172\n36258 69169\n59415 94176\n13384 20746\n13492 19649\n16141 20221\n35308 40010\n6432 55226\n37419 54670\n12920 98779\n39222 74689\n62050 74793\n68980 73538\n40529 86677\n46801 96163\n356 17733\n34049 41695\n13697 26270\n33374 66832\n43524 58810\n60613 71353\n11398 97493\n55498 84455\n92199 93946\n53107 59850\n72784 83696\n29741 64360\n32754 78135\n42038 82569\n20046 29984\n6046 51376\n68305 88960\n14273 66792\n54711 79475\n50211 82441\n54677 81299\n30221 97205\n37374 49437\n84623 88705\n29862 69929\n64813 68770\n6508 50511\n17570 18980\n47710 85654\n53641 59358\n33178 89370\n11200 87419\n10645 29099\n16483 17310\n13538 30710\n32285 69124\n54217 76803\n49614 53431\n30897 62006\n7061 83111\n48530 86640\n6023 42351\n37675 97210\n21532 86240\n13427 90595\n10481 74460\n48906 86748\n26149 44729\n7702 15292\n70929 93527\n25210 38689\n13894 73062\n1773 80137\n11258 21513\n76584 76795\n46950 99445\n93460 96783\n16502 73843\n50491 69602\n27527 29258\n57599 68787\n66250 67941\n22746 43793\n2559 22715\n73953 90553\n4404 94790\n19621 47828\n31340 53825\n13592 74917\n33180 95023\n8352 9330\n51707 69649\n15371 18884\n93649 97251\n9066 12757\n2024 43497\n24000 33430\n57792 85957\n40880 63816\n6652 93301\n58275 59794\n39285 40530\n71497 73050\n66370 85612\n13921 93107\n60852 67387\n15429 63421\n44214 78777\n13744 67007\n35608 55768\n14978 21370\n45108 51628\n50656 52839\n81474 88582\n29133 58211\n12005 65051\n74097 83370\n7480 36910\n47896 78077\n16501 61108\n46462 99371\n18674 46574\n2629 66996\n8721 89713\n62323 77058\n10597 83985\n9478 54244\n62457 64878\n13521 95621\n21321 75931\n28549 71134\n53339 59712\n22320 90147\n43699 49014\n6917 91728\n44306 95157\n13861 88710\n5230 56797\n59641 83786\n23878 87816\n64116 92332\n21353 42780\n62842 89299\n4420 41414\n47352 55171\n47775 76690\n73345 99867\n49796 78077\n10945 63388\n39286 50802\n73614 75870\n20152 96735\n20232 97509\n2892 29944\n4438 65834\n17782 22535\n5983 18958\n60901 85795\n60552 77105\n47941 76473\n10647 73713\n35204 83244\n67333 69117\n93257 98658\n18174 76847\n26099 94796\n4655 54405\n50878 87833\n31671 60296\n3927 78105\n40843 57523\n42659 98386\n69534 79905\n23503 61988\n34877 79570\n64126 78362\n3648 67508\n2743 20244\n24276 57589\n30280 46311\n74367 94164\n71631 80770\n28878 89756\n4805 49101\n23352 73303\n94331 99130\n56214 78020\n43241 71368\n10678 88032\n406 1510\n61319 63357\n82402 99023\n34498 37915\n40453 85457\n27002 49057\n23625 73083\n67702 84840\n901 10285\n1319 33099\n90446 99210\n16840 69159\n83569 85287\n74933 98584\n56561 92893\n62757 91416\n78473 94677\n18441 34650\n64283 70701\n47712 96425\n1774 29963\n7734 82665\n20138 32608\n9487 44869\n8724 90718\n10075 93752\n60317 86969\n69305 84414\n77668 96392\n1255 22558\n22684 76782\n64177 96270\n60074 81777\n206 69275\n3477 72176\n10546 34659\n50789 84252\n39277 54453\n18950 94928\n62000 79775\n1512 62951\n15650 93086\n28423 31693\n72194 80516\n13998 85704\n56111 85907\n27597 96524\n54222 71233\n57500 96925\n23473 64703\n7681 11849\n96048 99340\n66641 80893\n478 1839\n89500 96941\n7136 46235\n10548 24153\n47604 67602\n3882 92028\n43746 53559\n2749 35439\n69788 71923\n28416 37917\n14629 87598\n40936 87595\n78703 86021\n14336 73078\n53997 62102\n42977 85475\n45441 78600\n13671 95673\n38784 64557\n35436 56264\n51312 55333\n20978 48032\n4279 28768\n3560 72353\n71190 99066\n68590 91805\n44074 84875\n2783 48245\n46523 53655\n56373 90387\n3680 99721\n64431 65697\n28499 82114\n46375 80184\n39225 63904\n68645 91909\n5594 69507\n18293 30266\n33315 98902\n995 13411\n12037 59521\n50911 84784\n6622 84609\n3785 66313\n8079 68404\n64733 88110\n4772 26055\n4130 96988\n51105 93790\n23301 25985\n67434 73128\n23552 64424\n92924 94177\n84343 91908\n25364 70341\n5713 53001\n52150 88146\n54359 69874\n8544 26253\n27735 76200\n9032 97861\n42314 68183\n61360 75148\n28931 75133\n50966 82882\n22178 42706\n13103 55284\n7657 54620\n14924 23727\n23618 36394\n5752 27867\n39634 68140\n54618 83867\n7339 69581\n5229 77638\n72823 89617\n40154 55036\n357 20772\n42882 95854\n5458 38778\n4873 56033\n27179 45457\n8713 55170\n36707 39645\n62524 88050\n38501 72612\n49726 72878\n67093 80430\n66358 70323\n32242 50726\n12449 50550\n4257 89452\n26690 36458\n47175 56769\n48210 89095\n386 23085\n58803 75127\n61809 88693\n31366 66947\n10936 40998\n5309 38826\n28734 69495\n75225 90933\n39097 83617\n9361 95721\n2463 92039\n11984 18360\n60984 87948\n47696 58451\n8794 14020\n23247 56475\n5065 78939\n33943 54055\n24756 99587\n93834 97133\n41407 91020\n74929 86143\n28597 90202\n68396 95112\n22352 91559\n813 81936\n51690 75140\n5750 22311\n19908 86580\n58477 73961\n16505 85335\n14343 18825\n16164 31043\n59629 77719\n4832 55509\n31476 55280\n39051 60139\n53509 87704\n81360 88896\n35066 83588\n51340 91869\n311 78579\n53722 75136\n10756 38558\n5000 55806\n4442 50395\n11585 99033\n26501 32138\n13384 77782\n80317 80710\n16262 74183\n46934 64330\n10074 70990\n1958 29059\n22250 72114\n16959 54454\n33347 45002\n26744 74404\n31719 82894\n41411 77682\n2222 74435\n25669 88134\n33239 46378\n39536 65983\n42723 95741\n11154 86851\n24928 27720\n13321 21968\n23778 27090\n10403 19500\n14511 75997\n61857 67039\n20125 41423\n45210 83352\n22727 54996\n26234 72791\n72190 95244\n32675 80844\n40906 57606\n28103 79469\n29419 79508\n40005 71568\n16020 20436\n92903 95291\n24001 72312\n19452 49100\n22948 56213\n88178 95322\n51798 86095\n3516 21082\n85804 86563\n21745 48497\n30535 97134\n61334 98714\n11537 33113\n39426 69108\n27521 88862\n11107 72511\n62268 80659\n33415 79973\n16864 20376\n288 98902\n34830 88777\n12393 23115\n46450 72539\n2851 46074\n18757 97546\n28179 80367\n22677 94160\n31672 77581\n29177 63545\n98577 99605\n55242 59590\n63711 71086\n36142 91136\n16810 90483\n1440 88302\n44994 59104\n19473 20896\n56992 77771\n44174 94706\n1441 18046\n9830 15372\n34730 74522\n32193 82528\n24606 43256\n37777 37781\n6729 28970\n7622 78289\n33363 60778\n37300 46547\n5589 37909\n29759 72321\n50081 80496\n15893 17629\n31847 80972\n21875 33088\n11064 54424\n48113 82289\n66282 67977\n36870 38411\n48271 85174\n47261 75881\n75277 96859\n17822 59408\n63732 94010\n5098 95597\n26853 34703\n53327 80285\n61126 63007\n14301 39421\n23015 91644\n72975 75733\n44897 76943\n68084 87387\n70709 85637\n23087 33520\n77942 88469\n29692 91361\n60391 85169\n88788 97303\n8893 47734\n75818 98759\n5402 98228\n3145 91763\n50020 56275\n6209 61590\n14451 68784\n12826 40652\n39898 71316\n60283 81681\n73245 92028\n94300 99531\n26948 36870\n67692 79563\n41855 45968\n63983 85504\n26552 67983\n68880 91844\n80421 85514\n29191 58096\n20255 76210\n2415 40772\n25007 30967\n4964 53173\n19909 99503\n13380 75517\n73376 85345\n14658 34194\n32785 89551\n3560 50506\n3388 27653\n60250 92374\n44676 82233\n22395 52660\n2525 25748\n46142 46690\n58413 64419\n48046 66149\n24569 29709\n55771 72019\n41627 91643\n37319 71731\n96176 96202\n13006 97277\n60706 91831\n11898 36260\n23518 51797\n47799 72384\n10347 60806\n21607 73669\n13311 84227\n46427 99138\n35211 35286\n40144 55017\n26640 40878\n57812 59838\n1963 60711\n82703 93900\n12663 13820\n66462 79657\n48831 75417\n76735 98915\n77139 88412\n13472 20537\n9591 14498\n74305 80044\n17300 99473\n25165 66509\n44191 83735\n17345 79847\n11594 38437\n88125 89288\n42929 56495\n10207 31179\n22834 71019\n67460 93719\n90415 95848\n2230 98434\n41154 48816\n34008 36004\n37353 91830\n16872 23036\n38024 64899\n7027 18324\n58153 62447\n14313 94329\n19943 35092\n28793 39115\n15220 48992\n21615 59736\n53888 85090\n14941 32446\n2971 89050\n19439 89503\n615 73194\n33288 97924\n16647 78148\n43889 66290\n6862 63243\n4300 86117\n21516 41720\n11495 58454\n38255 84417\n73216 78337\n65718 74119\n4727 97606\n2825 18178\n46955 56031\n1783 72554\n3986 67888\n18513 20888\n54391 89320\n4021 24675\n43703 72315\n23091 49331\n12853 92554\n29742 32565\n614 1537\n59885 92498\n11521 85932\n5038 79362\n77877 79315\n27083 64174\n5260 84440\n49157 83874\n20809 45628\n4958 39518\n41370 77686\n11218 43918\n30198 40482\n81153 87952\n1986 23730\n38946 80458\n88524 99249\n39376 81739\n43708 85610\n54376 76810\n71476 93171\n12777 68686\n11813 39733\n33814 56383\n3154 90494\n26578 94546\n31269 52696\n26429 36506\n14973 23087\n17552 24929\n45626 50335\n2360 52560\n3871 14376\n81251 85447\n47961 84122\n51791 98918\n61222 88162\n78484 97726\n3391 30391\n49877 97128\n6028 96144\n1967 58490\n45329 55879\n28888 98091\n42723 83926\n2029 79659\n27600 74365\n28350 58277\n97077 99902\n10945 96432\n59444 60892\n37838 63493\n56110 56639\n41869 62803\n14937 52985\n79589 98981\n15191 84711\n18874 30433\n19677 97250\n49412 66440\n35352 71788\n60622 74550\n55394 95028\n4746 19042\n71025 76572\n10430 63229\n69518 77806\n49416 58658\n76215 85564\n40962 80848\n12119 21949\n42099 93268\n74808 78607\n31719 93540\n1002 79974\n63832 69929\n19393 87365\n26555 43656\n93113 93128\n24325 73477\n37425 99362\n26936 84043\n33135 49599\n43986 94359\n11148 47896\n30688 50258\n39456 40588\n49654 84069\n20666 78100\n60082 99317\n64878 91553\n19913 89021\n77595 79719\n11612 91939\n11607 76012\n38017 46392\n62232 64926\n22294 86908\n14653 22078\n6578 87950\n34503 77852\n25036 83924\n69892 86222\n74073 76785\n45300 89637\n8545 77428\n16674 49303\n28619 51602\n39596 44406\n26597 37145\n13933 86752\n96102 99266\n8816 65290\n10543 70759\n31226 37379\n15885 44931\n55676 98652\n49423 52242\n47044 73189\n7280 24770\n8559 60047\n8481 40935\n5917 30196\n25230 74444\n8590 77129\n33906 99063\n63400 66275\n7032 67515\n30105 47652\n72018 86855\n12304 76536\n72371 73037\n66672 87601\n82440 95353\n62238 66119\n30885 80813\n695 77006\n29160 51194\n10981 45424\n52520 95251\n47196 95616\n49296 86067\n53350 65813\n2583 64714\n6048 77103\n34884 57789\n50973 61634\n57736 59439\n24440 76071\n93120 98633\n37540 40684\n43133 46114\n36519 47169\n6593 75523\n53751 94590\n2729 61339\n80324 98451\n56893 85791\n11465 23576\n49229 91286\n8916 58967\n8237 77216\n22969 78025\n22675 87319\n12886 67075\n17401 67516\n36604 52248\n46322 78132\n6614 81467\n13537 31552\n4286 50184\n26603 36051\n14327 17521\n1169 55474\n51851 84800\n8220 47137\n84697 88726\n8025 39433\n24087 77731\n52748 94177\n42993 55384\n53673 86529\n7933 39915\n4858 18548\n51196 74601\n5774 24933\n42848 81361\n63467 74017\n36039 51060\n66149 94337\n37117 51562\n5331 31099\n35550 85632\n7847 67522\n43736 83686\n25298 74355\n26566 84269\n19024 31076\n16750 17684\n41399 60890\n49947 98537\n74825 99430\n69602 72388\n26504 62830\n37542 71291\n60243 88207\n13801 21515\n636 92019\n29255 49615\n43426 55921\n54976 67360\n56106 62440\n22920 34010\n18334 44557\n6904 95200\n9819 79510\n11682 68049\n47278 77399\n49512 94277\n17141 51140\n32961 53788\n50323 74144\n35705 90662\n23005 75781\n85408 94197\n6186 12486\n13443 72691\n17302 91012\n46526 94313\n19833 60603\n10355 83251\n9888 97504\n29140 91404\n20355 31552\n12245 61786\n38484 45733\n43538 47490\n4627 8446\n27092 34397\n31177 74488\n5525 17227\n41143 43680\n5642 80842\n15817 94686\n26294 97396\n21073 58116\n33965 57759\n29381 83903\n51406 80632\n10264 62731\n21619 83956\n22662 25923\n6976 48152\n23665 73838\n38162 76854\n48798 81555\n21904 24702\n16468 33196\n20679 72164\n10284 27522\n72707 79309\n19699 30382\n59177 81569\n54195 85152\n3104 19841\n17609 57047\n67563 73408\n45057 65862\n74767 90432\n11007 12661\n72690 83849\n69639 90554\n9901 67077\n17524 77885\n28038 73323\n58469 85688\n9031 64699\n39118 65630\n21793 40078\n25923 44031\n21767 27920\n72482 99369\n12871 35777\n45367 84167\n26959 40717\n3210 11850\n17876 25600\n32319 91335\n71625 92400\n39836 76469\n21895 23206\n5539 13036\n54433 94013\n10851 84544\n55011 61315\n39130 88973\n34095 90235\n58962 70280\n8182 21574\n11271 36359\n8622 84221\n55658 87619\n69069 71155\n17251 39874\n91193 93617\n81646 93964\n32422 40215\n49706 76067\n4915 31629\n22610 62431\n3538 36567\n27644 64454\n46626 56776\n57027 60840\n18298 63270\n47329 97149\n73707 94686\n67548 95873\n32208 39781\n12849 40743\n49508 74366\n9933 98966\n33917 61855\n25224 58957\n30081 67428\n19489 95266\n39987 96245\n21494 64346\n11947 93579\n27629 58892\n39328 81577\n15176 78876\n53215 72661\n19114 82610\n15009 90741\n505 8530\n32552 45747\n31785 63990\n61992 93518\n39259 93359\n7381 85244\n12260 55924\n31655 63551\n19216 60204\n38151 70525\n15099 43499\n53292 56514\n50380 56408\n28595 34556\n14015 33502\n56432 73938\n780 33982\n8673 79232\n61807 71355\n17131 18589\n49111 83893\n27504 27791\n51234 83057\n11285 90676\n46948 87316\n27179 29966\n42795 56291\n33595 99329\n25720 86895\n27391 36372\n94509 96121\n31669 75622\n2361 90394\n5377 48324\n21559 80912\n1816 77859\n37441 58600\n40191 94636\n26019 67503\n30334 61451\n82358 87228\n9768 57838\n58285 86161\n8684 10288\n55686 58034\n16052 46622\n11526 57398\n32484 76108\n29693 55524\n40238 87238\n77000 89243\n14348 92316\n4584 53506\n60618 65629\n22907 77910\n14372 60888\n68707 94327\n38061 79625\n30503 85067\n16625 33421\n26462 62337\n63149 93681\n39259 61014\n10761 90095\n13480 42182\n9508 46409\n19982 59596\n50995 84392\n5553 90778\n25578 71138\n45634 56785\n48324 59977\n647 9782\n2624 99043\n42314 55711\n29588 70084\n61945 74737\n44740 48726\n60030 65558\n1186 80458\n63810 80080\n80520 92373\n682 27407\n18957 32396\n1241 4536\n3899 48427\n46462 56754\n47568 75498\n39759 96447\n16279 20800\n58324 64716\n12841 16186\n40 88439\n7788 18868\n7175 54017\n17937 92909\n4755 7674\n20248 59128\n69304 92387\n58684 83966\n25960 81905\n22668 85573\n40869 60127\n58989 99427\n57072 87116\n30656 50623\n11897 79871\n11322 26528\n39401 45840\n48378 72767\n55507 95044\n62241 62431\n28722 74694\n22416 49011\n50251 79556\n72533 87515\n38902 96560\n27327 53553\n10293 21352\n66779 94809\n76259 86245\n51190 77752\n42599 59036\n54114 61845\n50191 60781\n46177 57552\n27285 73495\n28120 65796\n47066 52965\n25399 57957\n35136 85109\n16655 64720\n2801 18738\n7134 82432\n12237 49999\n17657 59810\n67267 67458\n61232 84901\n6016 22254\n59221 97964\n29694 50858\n",
        "output": "340\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 99,
        "task_id": 541,
        "test_case_id": 32,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 100000\n15075 67129\n40925 74589\n14795 60798\n39504 73262\n69273 88005\n9694 68748\n79104 86863\n11079 87835\n15925 33347\n40797 73757\n39303 81413\n9186 89007\n27804 63658\n58073 98153\n25235 28051\n42288 46439\n29256 51600\n38073 98777\n17159 29340\n41100 64848\n40526 62736\n77345 92797\n3263 57884\n78833 87795\n39943 87671\n6225 23495\n41880 83807\n23931 28440\n60679 68897\n13864 45203\n44031 93482\n51569 65719\n5059 38285\n32163 77165\n77049 82372\n33895 67589\n38980 56258\n42873 94864\n49137 51488\n62362 67411\n30597 54530\n948 58529\n44842 71264\n89539 98122\n2780 54855\n52712 67290\n21487 53281\n34471 44076\n32921 70117\n26294 30324\n50168 96832\n27170 31988\n24928 62504\n55345 70853\n21973 85899\n12307 73632\n14332 89412\n69473 89221\n27278 63784\n28581 39066\n38182 97878\n33692 52946\n32162 67044\n43135 44135\n42274 70335\n1399 96570\n11265 86553\n17827 83626\n8299 76146\n35473 97713\n64570 94479\n51325 93272\n58027 81302\n21643 96266\n78548 79916\n47469 75080\n28331 55478\n57774 95486\n3055 30439\n29864 42441\n39608 85607\n5146 14925\n27986 99159\n52863 64041\n30198 84746\n43812 52450\n18906 57139\n32166 66690\n55769 72858\n43929 50235\n40788 80550\n20465 90578\n55186 78588\n41849 90499\n17209 52893\n6919 57327\n46995 69023\n1844 97181\n13542 58443\n18528 81758\n39907 41349\n65575 78202\n43109 76147\n13045 51908\n76377 76914\n59513 80029\n51550 81661\n14362 25661\n999 82350\n18642 18903\n2301 39877\n3175 11589\n39681 94041\n48915 92936\n33315 50745\n31492 98096\n13524 77960\n65595 77305\n59874 61482\n65921 94533\n20273 59405\n33779 49549\n9659 43328\n53956 94831\n74774 96220\n55728 78605\n20681 51797\n65017 89909\n39480 40248\n63971 73306\n29951 63688\n54140 80849\n42759 60997\n59029 90591\n53019 58832\n1371 10355\n66338 67664\n20201 62395\n56402 68212\n45494 64675\n74437 94718\n76053 99845\n37039 63076\n74487 75399\n18081 35506\n9227 89621\n15270 15285\n9090 17634\n15653 18115\n1184 95426\n55854 93965\n84379 88513\n41634 64919\n17005 18366\n25012 90162\n42553 60819\n40506 89533\n32227 72416\n154 16501\n24955 37513\n19164 73617\n23878 77771\n16915 65332\n35085 89083\n88383 88992\n41108 80967\n44675 49996\n3540 59000\n19330 51143\n28647 50807\n26664 94065\n5372 38268\n2945 56821\n58638 60057\n19327 89087\n61516 79966\n5388 98695\n20030 20408\n19020 94959\n12838 21676\n27907 59174\n58258 97144\n12634 29313\n67411 86616\n49511 77102\n17770 94734\n15785 74895\n9439 32739\n1490 93901\n8623 51367\n16329 98361\n40244 50614\n33041 37127\n58605 95528\n16640 79694\n31022 66895\n5223 38845\n4803 87740\n16232 69865\n3829 95178\n19184 39818\n15116 82911\n20924 45587\n499 20784\n51443 72714\n29029 92834\n5429 97233\n16824 62662\n92649 94660\n19686 34954\n5410 94573\n47675 77207\n25884 45016\n32751 42166\n5477 8222\n62208 73099\n46656 56779\n56980 91025\n26328 50560\n9020 28948\n48544 98234\n26697 80936\n16356 54395\n48709 79625\n4677 21561\n10963 55223\n39910 45772\n9311 82697\n80794 96383\n1258 50261\n21009 87591\n3374 39966\n396 30146\n22041 92935\n48270 53400\n19976 92488\n6161 95222\n44073 46708\n52495 88765\n48092 49302\n36136 47456\n30754 94146\n33878 76093\n1216 45025\n49132 67742\n56036 71850\n7247 38963\n6496 35019\n18284 52660\n38062 64692\n1686 52680\n41222 64348\n95549 99321\n24939 89911\n66821 97529\n12196 73578\n79502 81310\n35853 69620\n31034 45917\n31967 48993\n203 60772\n12645 35098\n2761 8075\n27490 76720\n12114 34451\n34151 94869\n7491 19416\n48524 71227\n11869 93650\n78116 83363\n12692 74392\n21774 75960\n49025 73672\n38443 76408\n17074 82466\n55449 69081\n1475 6936\n18750 50069\n50792 73895\n541 45858\n57566 91769\n46033 56703\n12917 40852\n29578 59846\n25520 70393\n71395 74104\n5938 95270\n44937 94570\n27630 47659\n28910 99795\n63965 78920\n24088 62093\n31570 96812\n42719 66723\n48227 66472\n6470 84058\n39571 57941\n4823 43634\n2803 78015\n75610 79875\n15291 63265\n69838 74984\n26453 95820\n45001 64400\n4068 48112\n18217 77717\n65114 78675\n17499 95625\n45833 63167\n53794 70961\n22451 53875\n23583 57901\n17681 48469\n25255 59806\n50526 88775\n6449 46383\n63439 69832\n29226 58977\n85393 87659\n20097 67619\n25527 59776\n48203 88909\n15667 52344\n21635 54872\n80618 81508\n25810 77215\n18168 92932\n6033 47770\n29588 32372\n28196 68100\n38404 88082\n13732 84623\n9641 20149\n18401 79338\n81726 91185\n22106 46789\n71917 88560\n4136 82070\n5584 14853\n52146 81361\n36307 71959\n35713 54966\n2589 88617\n55671 92058\n30903 43815\n33567 69260\n21640 67641\n20250 83227\n7361 83438\n15955 82432\n37926 75848\n13011 49049\n33407 84605\n68223 85271\n52569 56458\n35328 52952\n21633 72522\n33887 83700\n10097 85145\n49702 55927\n4347 51406\n66720 97290\n27953 36690\n6386 35763\n23792 84041\n34107 69983\n51695 70611\n49441 84248\n21039 73998\n29104 37641\n9312 49985\n22693 62380\n46147 57670\n40437 71957\n57058 62924\n59813 71251\n16143 53524\n16612 67291\n33586 74484\n35795 81389\n15225 85712\n56891 76753\n52059 76204\n5412 29265\n9878 44145\n44818 50411\n61915 67512\n3330 29748\n48005 94662\n51461 70448\n65840 99671\n48681 64689\n80430 89489\n19545 68892\n5421 10138\n36699 84723\n25184 71622\n11119 51503\n1998 97737\n14612 53268\n30080 61523\n34480 49909\n66421 81196\n63033 75974\n89772 98577\n2468 13888\n532 25330\n43871 56679\n48304 55608\n2014 9565\n3693 79201\n22992 28123\n51884 98033\n67148 70883\n48369 67841\n55911 93071\n65831 71222\n29380 31231\n59719 67122\n1434 27399\n44665 70331\n70981 93768\n24779 68909\n29356 81855\n11022 19738\n70347 80958\n16489 88534\n7659 66031\n16829 55236\n42600 98634\n2114 28778\n58055 93824\n36174 77205\n25928 63797\n24450 32277\n25726 76146\n59601 83097\n12029 83699\n43096 61370\n48025 85007\n28980 86090\n56067 78660\n27308 27758\n24191 39872\n21734 39848\n31538 82298\n66376 68437\n4864 71026\n42144 76100\n45775 84708\n1555 98309\n4878 10879\n74778 85719\n7378 42091\n76290 95542\n26365 39415\n14814 77736\n55150 82906\n9863 42370\n14531 91977\n26935 77434\n28647 93682\n40162 96695\n2229 81796\n23419 54426\n75280 90822\n44262 53629\n21814 38952\n11759 68108\n19948 33386\n10297 93004\n3664 96797\n18773 64614\n3440 92612\n15601 98095\n56644 65366\n44397 89015\n28985 83108\n27162 99478\n58752 73204\n6369 81428\n10608 69937\n23033 30846\n52706 88904\n41774 67369\n14115 22042\n45323 74268\n68954 79796\n59508 94967\n7181 26010\n21754 80798\n70849 71175\n88826 90663\n76998 90973\n54645 80521\n15814 77422\n29340 87209\n4899 14357\n80744 93925\n93525 99533\n1857 60088\n9668 51158\n2547 72759\n53415 78704\n8293 99578\n20510 47639\n73758 94467\n54926 63544\n57975 92706\n23663 27596\n2715 97206\n1197 16107\n9078 80493\n69015 73206\n11480 45682\n67773 92485\n15183 45364\n65927 83083\n23794 46486\n7186 88796\n82871 95702\n26104 80118\n28975 39729\n20078 53582\n9773 55355\n12454 39694\n71501 79158\n18720 23867\n26927 38307\n26963 52266\n9861 89256\n4217 30257\n8700 86733\n26266 71586\n44109 58957\n3225 32258\n42182 84516\n38548 55865\n32292 51469\n39490 51721\n7766 87685\n25587 40669\n1577 56883\n78456 97220\n26989 46090\n37772 94574\n50616 76933\n4626 24659\n54146 54276\n7602 93229\n7554 15608\n71633 79692\n42466 48458\n46557 88243\n72841 78868\n6243 86083\n10767 78652\n44727 99268\n25286 86104\n22333 87340\n61989 95984\n26684 88471\n40250 47753\n10030 13611\n70812 90064\n6129 48570\n30744 75738\n11690 97342\n10045 89550\n64685 99229\n51913 54467\n15386 29229\n22411 50843\n24090 60198\n17538 71234\n42487 75700\n7729 8750\n40477 59636\n7192 60702\n46357 78970\n2988 52547\n51594 99157\n3018 59079\n22880 85062\n53797 66212\n58943 96491\n11940 41774\n35202 40067\n19766 33621\n77132 90516\n1604 49980\n14226 72428\n8377 94026\n3546 75728\n53639 54348\n36110 61144\n15789 36504\n84537 91709\n18961 58531\n4790 29326\n35722 89575\n39908 87144\n56307 73711\n56130 76204\n54182 87481\n6749 42218\n1757 51974\n85411 87538\n25607 39396\n59943 87261\n1943 93444\n41510 45465\n44862 77418\n45130 69249\n11833 22910\n977 1898\n282 11429\n69678 88218\n82031 82944\n13905 30479\n57983 85282\n54633 57788\n75272 91485\n24999 71892\n7505 30824\n27535 35628\n79320 88187\n32676 45315\n4080 83587\n55019 79134\n53906 55338\n3244 84633\n18508 51191\n42060 82105\n2387 69093\n35236 38893\n27080 92985\n31006 68623\n21018 70656\n24326 96183\n89995 92609\n2297 79838\n32219 76239\n44541 49809\n17622 83141\n6962 60835\n42442 93513\n77498 96639\n36470 77353\n81627 86790\n23910 38843\n32931 60966\n49823 84613\n63815 86164\n5185 95759\n32691 91621\n54526 75539\n20110 76180\n2737 26518\n1874 34013\n41684 61370\n5199 43023\n46495 74585\n80892 84251\n12760 42782\n17067 71209\n13785 57592\n39566 88141\n55017 94604\n50696 99721\n38407 81592\n53304 77336\n35485 78991\n10999 29055\n67577 93101\n3043 93295\n40014 62043\n66193 99126\n32010 84112\n145 24978\n7114 24089\n52217 74137\n66672 79917\n8124 58290\n13067 18981\n20287 75213\n27478 90148\n13696 37154\n50769 67844\n19450 55790\n30591 62522\n30748 33736\n28596 83863\n27948 35518\n22136 59420\n19261 42351\n24372 31384\n36952 56017\n12536 56280\n7313 27259\n18316 86540\n34409 47815\n46387 71079\n66687 77305\n7394 20995\n9086 54111\n13551 98733\n4984 64930\n52877 98032\n57085 97000\n29714 85814\n2065 27750\n21674 90979\n12661 24767\n4372 37908\n8281 9054\n46503 89734\n28553 31434\n8436 11602\n813 12667\n29715 61208\n37220 84072\n5555 47473\n74822 97763\n23648 91454\n17525 90456\n15780 52805\n2245 66490\n81952 96273\n22908 65336\n21333 63279\n10303 34183\n24686 47621\n61392 92598\n11985 74447\n3130 93242\n45861 71882\n55657 84900\n46825 86805\n28565 98488\n42867 73832\n66230 75390\n31420 66400\n21785 45961\n43191 62560\n7044 39905\n16834 71366\n48452 87132\n3074 58529\n56253 92123\n16463 92387\n2154 82965\n34338 88044\n80193 97188\n57774 93579\n66041 95093\n25441 83745\n4642 63663\n69795 96511\n8970 94146\n37621 98309\n47734 74515\n17034 85052\n24920 90037\n21840 65840\n66320 89757\n7681 37883\n32866 48337\n74748 78717\n19820 27213\n54353 65751\n67396 93303\n5979 58935\n27553 56625\n47390 88386\n44454 76036\n2564 79524\n29663 41168\n19305 87779\n34388 60707\n23070 55434\n21226 45892\n54913 67909\n64637 87923\n58408 89100\n61829 77649\n32035 76442\n54596 66382\n67027 67617\n17635 74134\n4680 70465\n30491 59090\n46496 77377\n59816 72122\n68643 70502\n57952 72011\n42695 59026\n26267 79972\n18021 45007\n10927 71383\n16869 47562\n1116 65640\n24968 97250\n30253 95175\n57946 60630\n33536 67145\n32302 47830\n26362 69243\n20840 78740\n34220 95831\n30209 82937\n30713 94140\n18173 42243\n64829 94830\n2208 53218\n94304 98765\n33122 82051\n15160 96612\n36905 97027\n19562 89585\n67214 94195\n34750 84833\n31655 79781\n13839 57646\n24363 76590\n12583 92218\n16773 28169\n50823 96280\n31332 56919\n30496 84967\n8319 62580\n24446 47448\n86593 95186\n41375 83294\n65768 66848\n22512 38880\n36875 54798\n91079 99218\n2089 76902\n74493 80922\n24146 78401\n26314 41298\n21138 45037\n26526 85134\n43561 64490\n34800 83861\n41974 61865\n68518 80651\n40650 91150\n63688 78475\n13253 61148\n2564 14860\n52392 64577\n24925 34928\n16762 85508\n5607 40830\n53041 74006\n26802 58615\n17653 65048\n58236 67149\n66909 91962\n31436 37210\n69240 93709\n1308 53071\n4496 68014\n21176 55625\n38640 73173\n53821 69732\n1111 72648\n30181 75482\n41941 50536\n5044 13713\n24633 76936\n16409 25655\n37019 67022\n56159 58135\n60240 98375\n9354 32266\n78182 98823\n94024 98200\n13612 46630\n57446 94704\n60271 87404\n25482 97356\n29266 77376\n38988 39382\n66795 73545\n53545 82557\n17099 56371\n53400 87786\n23985 92380\n39196 48925\n43382 80600\n38575 75658\n63010 88818\n62861 95502\n35768 62447\n27056 47257\n35956 81204\n25571 49015\n3941 61507\n18673 72374\n15037 95088\n21796 97671\n17554 86028\n12340 67685\n28781 38481\n6566 9378\n47348 86171\n23351 33513\n41790 60525\n83243 85208\n74917 91767\n27533 45800\n28613 48445\n3673 62933\n47157 50313\n20643 63728\n49378 96127\n9318 36904\n23868 54840\n78022 81604\n25717 52553\n13513 27749\n11611 66654\n9848 66779\n52826 95110\n624 20395\n52725 76340\n6778 70351\n49288 62687\n47904 91512\n12395 76149\n1095 63094\n17514 49319\n4896 77679\n94343 95646\n29649 58845\n27352 62020\n44481 85242\n61682 75465\n67372 69792\n11583 87000\n27807 28623\n59855 70603\n80282 83469\n33971 46128\n39703 76617\n8235 21985\n13290 40856\n10046 50818\n82243 93049\n13835 90133\n55743 96360\n482 40703\n17260 89138\n69240 92317\n41237 51481\n81407 98292\n951 61150\n74604 85976\n22688 38651\n13100 77506\n122 30822\n47808 97550\n59244 82260\n27278 99962\n22961 91948\n16073 70017\n9641 35509\n7199 31412\n47919 93610\n67582 68949\n14623 37338\n15412 42493\n44702 95059\n6010 47832\n67167 89647\n7931 16408\n40589 49284\n91695 98991\n36599 49164\n3922 49136\n65698 67647\n4320 75849\n32300 61515\n8122 16380\n53255 71223\n74696 95615\n30759 35401\n65555 66007\n4046 36425\n38685 65220\n24112 62308\n39666 67035\n72283 83222\n8025 86955\n30006 76476\n5905 67131\n459 19955\n32227 86294\n61334 76145\n36652 60436\n19481 80939\n13934 83176\n20515 75769\n30383 71925\n42974 55130\n17270 47976\n37152 56353\n5842 6172\n35717 66316\n52604 55696\n18411 51490\n10865 72885\n50222 95520\n19441 27729\n94147 98406\n33611 72652\n805 49895\n44821 65226\n63968 84212\n24504 31589\n51541 91721\n23673 49193\n17424 95583\n23545 72370\n14426 43198\n30797 89445\n10831 11623\n64354 66687\n48059 73206\n7414 98911\n29795 34738\n23345 96635\n9661 61316\n4367 95539\n89669 95452\n44163 80351\n53343 90854\n22844 59615\n47962 94425\n50180 62141\n40470 95928\n87862 94351\n23060 28270\n58536 61542\n65352 70323\n72480 98134\n52249 81930\n23677 58192\n4341 86533\n39862 45133\n54457 63914\n5835 54731\n46 65602\n91078 96225\n16965 86229\n43003 89982\n79184 97858\n27589 68999\n28585 85638\n21359 54701\n2471 86725\n43055 68609\n45200 75522\n6851 14506\n24807 96620\n47480 82365\n65578 98699\n24067 90719\n8163 48649\n68932 79633\n52226 52547\n35452 60070\n34985 68901\n20364 72272\n56592 61619\n62528 85439\n27487 70328\n43079 98505\n46907 83618\n4827 9112\n40498 97977\n19049 52538\n53752 60922\n37199 75507\n25049 99286\n3293 13365\n30130 65916\n81631 94705\n4076 59042\n5203 99740\n24333 37899\n87019 89008\n16331 47829\n3048 68609\n88027 94701\n10398 93046\n40351 78174\n28685 85637\n33558 64318\n25544 81232\n22069 90393\n56495 68684\n62348 65528\n66903 91314\n48193 48873\n7750 76753\n57999 70810\n12589 90813\n55170 98151\n43345 60380\n46227 97223\n44815 45833\n62674 90518\n32974 34510\n21950 57799\n11705 99822\n14565 84334\n38769 73984\n24985 41837\n36170 61781\n78767 79653\n40258 77900\n56211 70683\n37308 48969\n3331 92824\n35630 59978\n40646 73209\n3332 91292\n24605 51966\n59756 80194\n15882 27095\n73137 92297\n86247 88384\n39839 74123\n48747 60364\n19244 22211\n6778 46012\n31920 83610\n71086 71545\n18292 78577\n54109 76239\n26327 63371\n23959 44850\n14225 66081\n39488 92456\n49743 95335\n12890 95839\n46166 87175\n4223 75406\n57917 61268\n47253 49001\n12144 36661\n39705 77340\n30315 90693\n22932 76500\n45879 46182\n30753 68091\n34292 46727\n77007 99825\n9565 60763\n22272 55539\n14446 48222\n40772 70494\n45126 53325\n59406 91623\n62940 63160\n36627 91293\n1656 10673\n12941 37829\n15421 17388\n20053 52393\n22449 97238\n84271 85863\n53875 79109\n58420 80405\n76214 88308\n9724 63486\n56920 85847\n46831 92975\n49749 63791\n24370 74809\n26362 44741\n59288 88845\n7914 49004\n29245 53737\n8029 61674\n61190 70557\n60869 95723\n19873 87553\n56337 66154\n20431 75751\n25896 32142\n10202 82271\n53313 71768\n24899 75777\n34829 75153\n13346 83593\n19767 68990\n17765 21109\n31506 76627\n19411 95048\n12304 73535\n60515 73670\n47666 59008\n31426 45563\n70594 77753\n85305 86529\n21792 91027\n4967 8200\n61197 61362\n10952 98886\n32434 93767\n75360 97915\n46553 58476\n42396 75021\n45151 54594\n43312 51405\n68409 73142\n15467 31664\n7063 80910\n75521 92808\n54919 65372\n9153 60950\n46333 92104\n21580 51008\n941 92362\n21702 25145\n4833 14621\n693 90637\n54896 90090\n4238 57087\n20870 66946\n46144 73549\n37465 45875\n46784 46984\n10864 26164\n63966 75157\n1285 95473\n70210 81106\n31531 40100\n84822 94258\n36089 46322\n6548 90866\n5755 19219\n34239 78953\n17364 54807\n24918 62559\n21710 75781\n33948 86988\n32557 69291\n63319 72742\n2994 10719\n61810 70439\n82681 86228\n15331 33994\n708 46915\n38739 86948\n59931 81903\n77117 97138\n66671 74554\n3564 97894\n40997 56134\n40590 94745\n13909 77982\n7342 99481\n27337 40640\n37701 50467\n41088 49521\n10370 66797\n46540 94366\n47621 93935\n32560 83596\n49033 68001\n30684 85352\n75708 88877\n34689 61192\n3112 50823\n38987 41817\n53350 88263\n2872 61614\n33629 90844\n10468 20992\n32053 45588\n21959 90363\n15014 26856\n40957 98663\n51495 90178\n40437 58381\n65132 93680\n21638 83897\n20470 76049\n5889 86554\n34177 57473\n792 14702\n17644 83264\n14309 97805\n21462 62403\n686 53188\n44293 71094\n26047 80065\n47134 63964\n62924 72800\n62264 70987\n95132 99115\n91879 99146\n4180 17353\n4310 46865\n17308 68114\n8940 9195\n27713 78804\n53894 77390\n14634 35672\n33937 76285\n14180 58423\n8852 34578\n27060 77116\n3551 28139\n434 17985\n64462 72088\n62221 75733\n37526 93519\n52595 68841\n26694 93565\n90700 93969\n80590 88219\n1573 71331\n56093 97759\n39573 58393\n27559 75235\n16673 97219\n13782 31219\n61147 68700\n2241 81175\n85552 86049\n59009 91252\n38464 55501\n39278 51340\n4174 39622\n9122 56668\n72030 73015\n32892 96515\n48536 60171\n2181 82909\n49089 49352\n51304 56589\n60649 68518\n61466 68958\n7987 98723\n4044 59200\n50070 98056\n9883 84103\n12088 16363\n5235 49617\n40338 49685\n2900 74650\n11998 45680\n14284 99294\n32873 87725\n3241 95989\n43699 67499\n27446 82945\n30883 79732\n10030 24522\n29778 35574\n56607 82209\n10998 77551\n57348 87284\n4241 61868\n10301 81511\n4768 51374\n7242 20130\n46791 51271\n1235 76921\n21271 83255\n14179 20491\n75243 80909\n29701 71201\n63144 98239\n39240 62955\n84742 97301\n35923 83087\n11836 85880\n10942 81541\n57162 97146\n23965 29294\n9402 22218\n49780 87123\n29034 67813\n10828 14154\n64047 84838\n299 96541\n30377 89721\n29196 76082\n2881 60398\n22436 97327\n54322 99432\n16457 38258\n62553 92173\n1161 48607\n12509 67748\n3604 28657\n5529 17100\n63411 93966\n62721 85959\n66966 96843\n13679 78709\n65780 71178\n74741 99931\n40445 87091\n13763 94569\n2794 41280\n4597 17570\n18221 43700\n22658 31694\n66529 99899\n13889 16527\n63184 69504\n58393 72814\n58939 68488\n6549 36252\n1520 11847\n26572 96229\n6393 48198\n33983 77719\n32039 93661\n37260 90777\n41412 61890\n76407 79885\n44710 81105\n1152 73856\n664 922\n74231 78873\n40738 53437\n51121 86012\n23214 76816\n21112 48558\n31488 80670\n30321 71809\n1297 66109\n17247 40755\n26018 50750\n1755 83320\n13327 20391\n85062 94441\n32570 96053\n40596 65535\n56572 59086\n29383 90421\n2545 8326\n10188 44893\n57646 93152\n24674 99967\n62116 69343\n15027 17846\n55839 69092\n18983 86127\n13948 58942\n59187 80109\n49206 63471\n3045 41316\n21810 67157\n33007 48907\n14260 40766\n11547 52720\n62970 75725\n2999 37493\n36996 99723\n19500 99369\n6804 72958\n785 10059\n6677 53938\n38013 48354\n11902 27788\n8730 78649\n8923 14177\n131 78643\n1969 10106\n89980 96618\n37107 62565\n34479 39132\n62336 88097\n27105 81170\n13336 24994\n9948 57092\n10433 61623\n41934 62411\n33559 99764\n82936 93712\n13931 29956\n34482 68633\n22417 27222\n54277 75239\n41596 67243\n38112 60005\n3089 79523\n10934 37897\n47498 48168\n59033 72368\n7638 54388\n73192 77105\n28817 81469\n32419 67264\n45031 84822\n42593 44673\n4324 15858\n10809 37853\n26430 85525\n41884 57566\n28551 87202\n26694 69694\n49918 52032\n7561 64179\n6351 93783\n40376 88486\n32250 59143\n24790 88668\n33112 55307\n2027 88970\n38871 86101\n88687 99025\n25427 80598\n31559 47455\n62995 87367\n5327 53382\n14962 47798\n36899 72891\n29502 59497\n2588 44326\n5147 33081\n17242 97652\n21948 82182\n23675 27134\n49703 81830\n2091 66803\n4231 81889\n70710 76022\n56977 89016\n37197 59817\n26106 52621\n27717 73272\n32468 80040\n10058 35378\n13753 89186\n39812 76144\n67306 69711\n15682 29294\n51588 54296\n58865 77888\n8791 42900\n30191 56533\n35171 43338\n75405 91974\n85306 99195\n25258 88881\n3914 81520\n2667 66523\n4280 74867\n74859 99907\n66235 68522\n62248 84277\n10740 11121\n50691 87281\n18039 23794\n57814 87973\n24655 95868\n79613 85539\n71717 87116\n30652 52002\n13056 79579\n21030 41317\n25022 78814\n27005 60767\n62677 66036\n14127 36639\n33900 88844\n7512 56292\n23935 39634\n521 37243\n61172 73694\n64552 79393\n21221 22699\n3293 21169\n9036 28624\n43306 93239\n57349 91208\n45561 65405\n11543 21340\n28652 65612\n4459 36216\n58406 98513\n51143 91358\n20990 41570\n26656 35701\n10135 91306\n36736 79863\n71450 97210\n77000 84403\n29279 61183\n22026 47256\n4568 76689\n26897 31443\n6036 96702\n50890 79447\n77093 88257\n17719 28234\n44301 51169\n10350 56578\n38612 88568\n48555 78248\n64327 78239\n44480 69312\n803 73292\n63862 99076\n23568 55172\n45814 76052\n76804 85603\n285 78676\n1912 61580\n50377 53181\n3026 93922\n8637 95568\n64108 89122\n29417 53856\n92274 98469\n58291 91599\n21120 59708\n11618 44418\n844 10506\n1610 45097\n47055 57527\n15348 47331\n62851 88366\n38197 48429\n1412 10627\n951 50453\n48741 77870\n8327 95754\n4753 56073\n6711 53747\n9193 95203\n32092 55637\n77227 96402\n3221 10545\n59394 83921\n82141 97684\n50636 87421\n35632 54769\n22030 79994\n4880 30555\n27104 47783\n77715 85613\n24178 68715\n23290 59880\n74026 89570\n7160 14382\n74947 95010\n41252 97606\n32598 60583\n7626 16395\n78170 98022\n38253 55037\n51276 92142\n62763 79585\n13172 96517\n37849 54454\n15406 66045\n582 45113\n11668 71789\n26608 41872\n14288 30402\n21272 21857\n4504 81156\n36624 41426\n45482 67594\n76664 84390\n35038 87416\n73494 76668\n69911 89637\n53761 57132\n63901 98019\n74846 91992\n11679 42303\n91053 97869\n84749 99130\n18545 50244\n11373 56232\n16960 28819\n12830 28751\n32948 58101\n13618 83417\n17649 93311\n2209 22818\n22349 68468\n35094 72582\n41350 53471\n64441 99858\n99078 99335\n67644 75102\n33475 86572\n3855 29840\n14582 82214\n76020 76272\n7899 75960\n73528 86980\n6094 65258\n43520 44668\n20802 29884\n16887 37211\n51277 75263\n50189 67619\n60419 97420\n3142 3561\n13962 83791\n72231 82521\n13295 48815\n58673 61938\n4046 91990\n59076 72792\n4011 10391\n33463 41137\n19306 48122\n4990 25115\n47984 91032\n6732 7575\n1907 69443\n67777 95404\n4207 62238\n60331 88350\n3833 81024\n31674 84193\n29263 50263\n25075 36482\n51132 94052\n42543 80198\n42984 62792\n25979 49632\n421 84527\n57491 60798\n22216 55082\n24699 89615\n66313 79126\n49127 67719\n3343 16360\n16219 54187\n7702 30748\n5943 48984\n88819 91600\n41271 58726\n11024 43180\n17832 67868\n9243 27428\n15256 72984\n2671 20244\n29367 99328\n27426 69573\n5956 95436\n1446 42799\n45281 91601\n47164 64974\n66515 84743\n51460 76250\n7277 81633\n53640 55877\n62146 65348\n42024 74628\n9651 81170\n12780 47425\n29297 47463\n9358 67439\n43991 95691\n22384 89535\n65221 73573\n50827 67876\n31193 41430\n29040 60175\n32216 87998\n51093 80321\n27956 76375\n20615 34255\n2570 49236\n6761 26151\n15899 84083\n19933 77819\n39116 50732\n25245 97854\n30485 58156\n16404 24648\n34405 58915\n56637 66382\n10547 13566\n58504 67513\n18863 55729\n29003 42022\n30084 57066\n15979 36585\n20163 73920\n55734 91526\n40763 75336\n9298 27218\n3733 28900\n13850 88903\n10554 66873\n48324 97783\n68454 87329\n74822 77483\n38762 92317\n60217 87517\n1155 20586\n55240 83857\n26848 50044\n24980 27929\n53806 61061\n29232 87321\n26822 54657\n5528 45985\n5787 43321\n3686 5225\n16879 65817\n742 60399\n45922 67586\n37160 83356\n32664 53053\n17468 57478\n8577 32783\n11590 53636\n50348 73322\n6683 42042\n21914 89859\n708 61029\n54579 61413\n88423 92297\n8135 31888\n15969 53919\n33984 41009\n18537 75181\n15582 69048\n11143 24368\n31376 74331\n59494 93118\n19534 94220\n22268 97821\n20822 83274\n30905 86788\n1073 67475\n39322 45863\n20985 37438\n45301 89702\n15312 82200\n26957 71136\n69648 94960\n42498 91502\n90203 91679\n39996 44595\n65988 72602\n7915 70784\n6475 79015\n44185 50578\n33361 95072\n37072 82544\n13630 86876\n34574 49499\n33201 46716\n47024 88806\n24847 92623\n27729 30701\n25536 61687\n12500 78307\n80377 97648\n88499 94893\n45822 53846\n56137 76298\n48186 85611\n8043 92570\n29022 48127\n33217 62725\n71826 97724\n65924 84953\n41440 58294\n77407 82547\n5386 81562\n10670 36691\n23158 32861\n14549 72273\n58212 65087\n29704 47967\n30282 36716\n4353 48312\n8376 74361\n3140 6217\n11412 21614\n41680 79906\n75759 91231\n61542 73921\n26229 81395\n18339 19889\n4343 12686\n51097 67447\n59478 67631\n67807 93643\n42274 64633\n54417 72968\n59801 91877\n41401 66127\n54797 76971\n55369 91637\n48419 76564\n45742 58379\n43223 51882\n26831 86270\n9036 79357\n11844 88289\n4249 43078\n45402 46275\n25202 28387\n64016 84549\n3956 9746\n29203 87876\n21839 56907\n49395 58706\n43061 85075\n31270 41268\n26145 77128\n51387 70376\n53426 89355\n16836 62616\n24162 72430\n70185 83511\n23210 32505\n60968 88743\n24504 46756\n43901 55107\n64730 80245\n32007 72396\n36165 58018\n87657 94042\n15810 81647\n52971 62428\n24113 25720\n10874 36408\n28336 60792\n29023 68237\n21498 49341\n7692 27248\n40859 91274\n53469 80785\n13426 86185\n32927 46195\n3276 99697\n21084 41377\n68224 88801\n41024 43230\n58433 88851\n1975 74772\n53855 92007\n16712 85767\n17031 23494\n8951 82167\n85253 87997\n29921 66493\n48859 96867\n759 64932\n2213 37610\n71877 76363\n69800 87763\n15559 50746\n58232 97877\n13520 77718\n77598 91470\n59401 78511\n26121 53531\n12459 62074\n8719 84529\n41850 81366\n18847 86015\n8066 81683\n42399 68636\n10153 49943\n15049 23207\n39802 97181\n49592 61046\n5434 41819\n34917 85005\n43207 51066\n63087 74734\n68535 90769\n9234 84829\n52903 85487\n5130 54550\n73415 95395\n6056 92607\n4502 83077\n64041 97782\n14596 98240\n13751 46470\n10227 94819\n22095 95172\n61722 83839\n49725 86691\n49442 98222\n19632 97573\n96211 96802\n26160 85557\n22081 62221\n42027 42415\n2418 91392\n31247 37937\n52284 92504\n17255 58130\n13581 27898\n48440 57187\n34094 92295\n89894 97390\n32952 52325\n4273 21369\n68685 91606\n27789 30480\n74173 82348\n38420 50569\n32262 60395\n12429 46220\n11135 68719\n19445 30690\n67733 79541\n39414 84090\n21977 21983\n87493 97736\n14515 50323\n47282 84977\n29529 95748\n14584 39942\n44451 71012\n40314 56888\n7903 96059\n76693 93104\n17087 94158\n29682 59857\n6822 6913\n51095 80139\n10670 25007\n6281 43966\n24259 40604\n15612 27442\n76410 80430\n16643 73132\n54068 72190\n16389 84669\n59595 94535\n17518 17729\n8671 59746\n10848 28990\n88572 98373\n43053 63385\n10916 91175\n61696 71445\n1347 22575\n64778 83193\n6156 26913\n10799 43048\n10362 96284\n30198 70958\n17533 94633\n70456 86793\n13129 58660\n60812 85666\n37904 78774\n15236 50966\n55524 58316\n62379 79005\n35577 61598\n3992 10081\n35109 89579\n47662 70173\n46446 52460\n16518 76639\n36577 83778\n19025 62408\n9406 36422\n13495 30239\n57565 87719\n42586 65124\n11075 88345\n30234 68948\n8387 24887\n22859 78959\n21968 81259\n25513 85770\n49723 91647\n16297 91285\n23618 62120\n42112 46066\n19410 23695\n5244 22676\n20527 96592\n88857 89230\n62825 74835\n19377 67915\n8146 40344\n20794 84676\n62028 65686\n24629 40259\n68652 95325\n42549 75031\n42882 54400\n10153 43628\n57044 68104\n48113 78372\n68186 80905\n2905 19681\n13870 77597\n15815 28979\n47388 61606\n32937 35373\n37249 67326\n96299 97107\n45292 72447\n17535 66827\n54867 73651\n20467 45007\n77231 94846\n19403 58204\n35296 56761\n26987 54748\n52852 70611\n31712 58618\n31280 79466\n48996 52292\n57052 62820\n36129 45138\n57802 98887\n32845 51834\n11901 75898\n63271 88309\n11402 44055\n61840 63441\n40832 77025\n54673 97213\n85631 92268\n7728 91345\n88669 93954\n5526 57577\n57169 57543\n41753 95371\n14901 25960\n25349 79355\n85493 93876\n2990 58594\n35142 39845\n68251 89784\n22619 29875\n41620 73713\n41550 77043\n26367 29480\n5945 52137\n72250 79750\n20631 86440\n16617 16803\n84600 95696\n70890 74220\n13164 14378\n32279 63942\n5132 14593\n14637 25215\n38693 81303\n48525 83818\n37011 81462\n1118 42024\n21933 99814\n16 26230\n29947 39120\n2704 48163\n33317 54702\n45673 83931\n72069 72617\n20284 81368\n41777 88022\n45531 78440\n90057 90584\n19792 85755\n16067 68684\n3396 4018\n5124 8743\n71760 81284\n3214 53039\n45610 52478\n19980 68300\n4360 55084\n15849 81942\n3510 38290\n29294 58909\n49054 57653\n32312 97514\n23203 74695\n7997 52035\n13579 75568\n22649 65970\n64516 64829\n11381 99641\n43915 46917\n49772 60660\n22248 68233\n40959 62582\n9420 10352\n35624 94470\n70154 87747\n61211 70485\n34690 88839\n41737 74889\n2558 96425\n43672 75583\n42243 45713\n69971 90616\n6624 38570\n5837 18756\n45017 91364\n2283 97730\n66543 95523\n30261 79085\n25705 33208\n70 89433\n39548 83315\n63495 69366\n15575 38678\n11353 14999\n1139 55420\n29759 36783\n62471 90445\n18218 32757\n31779 41582\n45498 62570\n7876 58403\n10400 96168\n20948 29521\n1929 68492\n3540 71082\n15639 72844\n37907 51470\n44430 65602\n12208 42583\n911 74083\n5493 11037\n37531 99428\n16742 83710\n79478 84220\n21690 56558\n3822 84686\n23773 96091\n43196 54007\n68686 84253\n1716 23167\n76778 79987\n35568 40604\n112 92378\n51243 86555\n2325 32077\n41880 77638\n10259 85798\n16132 19981\n67343 93338\n20544 49744\n10890 58217\n21263 64127\n46185 55395\n35418 67189\n50509 89205\n38007 76683\n17828 58963\n872 51785\n20694 50738\n26633 99716\n54275 99511\n13478 99032\n23735 25379\n35012 72544\n40502 89700\n41907 96732\n16509 89069\n28552 57325\n34353 62801\n7497 63326\n16907 65471\n61983 63381\n81153 82217\n63533 76763\n12205 52172\n59163 92277\n50077 65553\n20226 51561\n43246 98534\n27678 55516\n41600 93446\n9648 33855\n6137 92926\n17667 42526\n23150 53376\n21113 52308\n14999 93827\n22774 35986\n99535 99822\n52316 89802\n22446 30290\n33776 49091\n83325 95719\n95646 96873\n58797 68380\n57205 95095\n31951 64350\n6430 51685\n34841 76141\n33493 96988\n19457 33669\n2463 37666\n96726 98568\n59 8124\n85845 90008\n13172 64746\n51951 88685\n3074 36729\n14088 67283\n57090 70087\n50714 87830\n31030 99280\n32890 87379\n16574 64976\n18560 25279\n65109 92285\n26401 30946\n3416 34940\n46511 65260\n6395 89013\n82216 91670\n65473 88760\n19396 97234\n2600 16828\n27295 56424\n11864 57627\n78437 87152\n7413 74072\n71840 92956\n4671 44709\n26433 72063\n17122 44866\n25061 78702\n47636 94176\n67358 70198\n47603 68118\n63199 79188\n68242 91588\n23525 49969\n17571 48354\n62077 65008\n45825 89604\n64801 73126\n83019 95227\n3709 27520\n20000 34884\n41431 72031\n26020 49894\n18298 61559\n14835 31694\n26628 75660\n17986 89469\n35984 65336\n87658 92216\n28911 73579\n25190 52819\n13994 85587\n46360 54661\n14173 66601\n39410 49172\n4589 94030\n9973 22635\n69987 86760\n72700 91849\n30695 93543\n3308 40892\n8924 27510\n63989 95382\n44029 44928\n66885 94173\n4241 67961\n20254 36021\n30035 82265\n48142 77559\n48614 70057\n44910 92114\n48741 61691\n20675 60208\n6191 63650\n38362 74345\n7648 50144\n42131 78481\n67547 86734\n1355 42933\n14941 77122\n10925 21472\n46683 65096\n14797 16693\n22759 79940\n15956 43729\n39953 84105\n9309 13349\n53478 59161\n44753 81446\n2072 15836\n58622 93453\n38108 83045\n15494 92902\n85141 93002\n23838 79367\n71479 93540\n26226 57444\n6543 56943\n53347 63524\n45792 64871\n13438 42232\n59181 80676\n14034 49759\n19248 50882\n83641 96532\n12601 71271\n60126 82243\n40399 98199\n71422 73208\n48576 65854\n13677 73264\n37832 43553\n18980 60971\n2997 27822\n65702 74647\n31933 98609\n19929 96826\n32851 78591\n65460 86339\n7255 82327\n83788 86585\n72040 81283\n19909 81444\n36493 78419\n41432 73399\n14923 40878\n40294 46819\n7414 75824\n9122 55706\n43648 75260\n20916 60061\n90287 99831\n82609 83094\n69828 77235\n5979 90243\n38022 91558\n23764 24861\n33843 85950\n21485 61574\n51353 83859\n32933 73766\n44556 84012\n54775 94120\n47398 57312\n11951 97925\n18745 89146\n2906 4648\n66149 96822\n18025 98702\n51430 80811\n9358 78337\n18060 63130\n53076 72603\n30116 54753\n14275 77828\n22267 40308\n30009 92175\n19907 84179\n54072 85970\n39373 90977\n2439 14711\n1364 92691\n58405 79224\n47017 96651\n13176 24880\n28223 84710\n59193 67941\n75572 76535\n29103 65644\n91530 92816\n53448 59804\n35449 93724\n43287 99955\n15092 29760\n28964 67918\n19504 87210\n51131 67857\n46581 50838\n42550 45618\n20961 66909\n41616 83500\n21257 87775\n22689 30231\n19748 46184\n39560 75781\n14258 68792\n56376 65930\n2474 57071\n21153 32021\n32570 81624\n69473 77537\n32019 63175\n43071 58932\n468 24870\n33841 73588\n35405 43328\n28994 51876\n47223 71141\n56748 75262\n25244 37489\n16522 61329\n44604 58054\n48753 53946\n50302 93296\n41729 55469\n17810 58756\n16307 89408\n71365 80311\n12856 70104\n15364 26761\n41531 67499\n19871 55566\n35456 41393\n10669 71156\n5713 48576\n11627 13335\n25602 48704\n37642 72617\n9542 11805\n12522 81642\n20202 44212\n3831 67244\n35749 64795\n48802 63207\n21524 71847\n14387 76829\n4738 55817\n53024 94084\n74628 89857\n38180 75551\n6782 83358\n61365 81786\n27540 84600\n67054 87228\n14792 48732\n7391 59981\n8054 75760\n24909 99842\n19484 96337\n3178 41918\n19572 93332\n10617 97922\n35441 63619\n19349 77634\n32274 92579\n7187 26659\n10699 64439\n56891 98317\n18493 43804\n30030 81287\n19663 26442\n16143 42470\n35598 65496\n8841 85913\n6898 79169\n2513 14447\n49440 90548\n101 67541\n52814 90072\n8091 58934\n31969 74900\n17796 21037\n16015 38067\n21301 96721\n8645 77088\n42995 82223\n74203 92667\n23787 86665\n32195 81417\n55044 99618\n65503 69187\n11005 65705\n90503 91986\n53739 83552\n57779 98245\n21836 22920\n52209 73583\n4850 75725\n15621 26464\n41918 61774\n11201 74031\n17659 83856\n8634 81258\n23880 74647\n41973 95601\n3547 51140\n64445 72340\n35540 57125\n18158 89774\n11452 94466\n50159 88830\n56970 80654\n13790 18415\n80280 91167\n63519 81779\n5648 56689\n48020 71315\n50469 86434\n22490 81652\n19053 33085\n33704 38861\n41547 99940\n30378 51185\n73061 83268\n42199 96857\n36451 58590\n41837 65534\n55404 59668\n19440 46608\n41062 68247\n18532 25048\n33765 53134\n38778 87317\n85510 93162\n53268 74292\n72991 78292\n64951 69662\n1801 9648\n3496 31866\n58174 90395\n45006 70768\n9282 17545\n27138 91318\n41011 78147\n43068 60579\n65345 98148\n911 78739\n24233 52422\n48334 80659\n46368 59797\n29504 65091\n73068 96115\n56242 89947\n76774 94974\n7062 50506\n6423 10477\n5110 21518\n80073 83314\n80407 93065\n31703 51855\n45801 75040\n24711 87998\n41613 58143\n42998 93509\n15742 76939\n33550 73083\n4275 50125\n22758 92811\n25160 38378\n39831 63235\n28612 93924\n61207 92167\n849 21536\n9518 66548\n39261 95473\n27107 28002\n5372 86328\n50587 89018\n51718 87300\n49847 52674\n62951 90882\n30580 70108\n12777 57508\n49432 77955\n89942 91719\n1037 74282\n49630 71913\n20008 60386\n88999 97912\n41217 69995\n73540 75670\n36712 44107\n64562 73440\n20893 53497\n54960 85240\n22627 44623\n2162 35122\n10770 64135\n48490 70722\n19864 85903\n25178 68547\n37006 84397\n42032 89008\n43078 76549\n73043 95655\n39559 82743\n15826 41155\n21462 65379\n47049 58610\n27997 63222\n31949 77626\n10225 81958\n82111 89099\n23283 96617\n8054 80593\n18245 95041\n58494 83859\n82381 89066\n1514 99375\n15549 92836\n71253 75816\n20521 94674\n24700 30682\n42985 81318\n20350 55792\n17963 52632\n51983 81646\n13799 61618\n12114 97061\n13227 90326\n16763 75611\n190 71980\n35285 64468\n26793 81977\n64563 99924\n40545 92088\n5581 33587\n63221 70191\n36325 39633\n32463 71866\n62203 95129\n32477 96991\n78547 85260\n20479 70336\n25508 56816\n52178 82767\n827 29246\n36489 44093\n36754 91047\n26587 71311\n13966 37707\n1050 82318\n72151 89983\n31427 76788\n14000 18774\n24547 77857\n9475 26519\n59602 59658\n25332 86736\n79606 86003\n16622 58407\n39142 91108\n21026 23836\n2414 55750\n35597 58739\n48084 78182\n2759 46273\n1489 91090\n10739 74961\n58490 71261\n21520 26769\n26114 87525\n56999 58053\n40313 66009\n15076 73457\n7215 53067\n62197 80873\n48998 69688\n36684 52950\n74599 95673\n43689 46064\n11260 30155\n14296 65327\n300 73663\n32384 93474\n32771 41012\n3061 62838\n50764 87621\n11566 12541\n16608 33775\n48341 78810\n49122 58354\n65201 75663\n7614 62197\n19238 88281\n47386 56304\n15940 68487\n32447 39465\n15299 36151\n62266 71170\n4453 54487\n1755 52001\n46975 80019\n16628 52967\n27525 50571\n49480 86087\n55157 95356\n5461 6433\n45529 78443\n514 38833\n8083 35660\n71847 78518\n11588 18247\n5264 95245\n45733 62541\n44948 46432\n62597 90031\n39677 91531\n25251 63890\n29981 53143\n94940 99886\n36550 43023\n15416 69017\n57119 81158\n42531 80760\n8774 25688\n19411 43067\n29890 37001\n36220 99363\n26009 40283\n23990 42847\n3565 72586\n65752 79244\n1966 50873\n68554 95796\n39567 96123\n59280 94912\n14402 37677\n3432 29508\n6154 48167\n4499 64292\n6175 59443\n43815 81970\n58355 80525\n31954 86358\n59452 65831\n66045 85412\n25826 47945\n26269 81256\n11313 26432\n24417 27710\n27239 90183\n73042 79471\n77733 87597\n56664 79920\n13537 94463\n61475 97042\n16039 62699\n54160 95057\n4654 8356\n61699 67880\n69944 90603\n54590 56819\n34137 49397\n25617 43050\n4239 58135\n34713 38449\n76556 77034\n20314 66130\n2640 10817\n7001 24180\n16556 23713\n10885 53310\n5118 19660\n9632 69069\n9543 60970\n4027 45588\n65948 87268\n25112 72076\n50667 78444\n23156 66857\n23551 58048\n90618 93271\n61211 99739\n92110 98992\n39996 86124\n65921 89496\n38355 51785\n60463 81785\n32115 65455\n62144 98422\n29412 87280\n2202 13504\n26463 65727\n85005 95092\n18674 75682\n43030 62716\n89119 98273\n23464 81669\n4493 98982\n67886 92950\n51189 71548\n35399 91789\n2386 37526\n41844 51229\n31211 31283\n11385 74661\n3157 66077\n26750 85739\n7525 55545\n17401 72534\n53741 82288\n44477 75543\n2620 57639\n23700 81173\n22855 24816\n27032 84447\n51316 63896\n32274 95949\n22362 72019\n47323 92585\n19308 76594\n332 67902\n72173 96503\n3516 95153\n20351 27497\n54188 96830\n15646 68007\n16936 82730\n43598 52334\n79881 92586\n45655 92203\n27449 82128\n20382 36282\n61770 75292\n50069 74866\n19340 94575\n28450 90672\n90951 99164\n58855 98772\n5481 53364\n70166 87194\n1715 5455\n13001 48534\n62727 63449\n901 71514\n4597 82736\n74544 90229\n650 62863\n56277 58649\n18276 53157\n11202 67299\n31359 47655\n32673 92737\n2567 6730\n22995 66983\n8094 80196\n45169 45759\n86902 99879\n70382 92568\n4608 59469\n48826 99187\n30924 78763\n66667 73391\n21001 41845\n6680 26975\n68317 84202\n84084 99728\n24761 75908\n84244 96387\n1209 58443\n76118 90491\n57392 72011\n70082 96010\n51202 55348\n57395 63111\n6110 43113\n27583 70289\n28572 34723\n23219 92425\n20940 34936\n38818 56674\n78469 81342\n85765 95682\n22539 61457\n65960 76581\n37180 83858\n25457 79926\n28779 49389\n72410 77090\n25654 32220\n58347 88970\n15647 45704\n35377 84197\n35727 77814\n7746 21979\n49742 71625\n38587 86345\n46184 76532\n47640 51055\n1192 34437\n38603 82598\n12879 94800\n61266 82546\n26427 85268\n17346 22603\n1162 56583\n12737 94718\n68522 73894\n72022 96476\n6322 92923\n53422 80176\n27228 34096\n16758 90674\n65531 86079\n23480 27718\n68809 82879\n87742 97962\n2686 21340\n31324 96904\n37610 48406\n1457 46356\n41438 57362\n11708 27973\n29837 46154\n8342 91349\n11977 17903\n18425 51495\n8033 30786\n33476 44437\n874 75450\n57877 78825\n25229 85825\n68937 69183\n47843 92292\n11996 25493\n50835 62624\n53005 72591\n20519 58206\n70749 88068\n56732 96870\n7838 47533\n31742 75303\n70910 73114\n26711 74645\n29228 83246\n24914 39508\n65519 67258\n45398 96761\n62187 99209\n8774 15831\n54544 81769\n66440 80235\n43264 53251\n23972 98816\n19917 57019\n61316 71300\n65762 87413\n13917 47069\n48277 82470\n20237 45599\n16619 45139\n24694 88541\n80955 88659\n2981 61113\n23678 26953\n3162 58658\n24579 32202\n28430 33106\n35754 54698\n15424 55684\n41203 89146\n49928 70541\n32621 59616\n25629 96732\n90206 91644\n12147 94087\n8907 73394\n7957 65971\n86200 93486\n19517 70677\n55664 86376\n36156 65979\n41941 51734\n50862 70930\n34738 66993\n59803 95517\n16812 18515\n65130 67080\n49636 74965\n15172 90025\n49341 86315\n74130 75149\n23330 52145\n2724 44476\n27744 95441\n12367 44241\n12045 41574\n52271 75280\n46891 82223\n43845 76666\n13591 62824\n31895 32241\n66119 85716\n1420 16007\n252 10258\n45250 48572\n52183 90910\n4641 91302\n16239 44575\n34243 43191\n10124 33380\n27598 36666\n12425 96587\n36246 77764\n68384 70796\n13200 74103\n6924 40339\n32202 99105\n27926 49289\n18258 25621\n25729 76810\n24421 66047\n65701 84234\n38965 99567\n35046 60764\n86958 89773\n47523 50134\n26873 99225\n21277 64163\n3869 79741\n15388 24987\n14218 25755\n54801 72868\n37432 93930\n43381 76143\n1610 87040\n12633 58080\n4520 87857\n69447 92643\n59601 88853\n74338 83470\n97294 97309\n11316 48961\n18472 67863\n17390 40191\n44617 77251\n24305 45754\n58105 69083\n27669 71776\n12486 64573\n3214 61869\n7182 35668\n24182 67087\n30065 71534\n38770 60164\n21942 85932\n45972 78125\n34670 42414\n16400 77499\n91565 95531\n2206 89613\n11947 28759\n1736 10762\n600 52261\n16662 80938\n80197 86147\n24891 72680\n57914 66472\n29418 30577\n67520 90556\n3088 84311\n55008 62546\n20134 29303\n35066 86418\n64945 74302\n5059 54095\n2259 12084\n5420 52004\n7921 21987\n47181 72322\n29906 71163\n19060 36169\n10460 59177\n19727 35733\n35118 61177\n1898 90979\n35442 76587\n47213 84941\n46624 77070\n20315 54233\n90107 91032\n6173 49511\n32805 36222\n21748 97778\n26541 51204\n9955 78797\n10511 67129\n2146 38446\n96486 97608\n29134 80364\n44539 96323\n30498 88519\n44903 97217\n6400 88319\n237 31251\n8149 80126\n69507 88796\n23790 83497\n23279 23517\n23114 38838\n81329 86399\n1115 53273\n56996 75318\n35588 75243\n31565 57430\n31251 88109\n23994 47591\n4119 85112\n21750 80100\n69006 74889\n55182 84861\n77125 92281\n40895 71869\n20029 57206\n30642 87270\n38030 71902\n61499 88144\n35140 83055\n30537 49387\n4666 71107\n9622 88379\n46110 67916\n64798 93693\n1488 82274\n32630 52051\n66417 97822\n44892 96588\n7357 67286\n2676 54235\n39975 90032\n34394 97040\n72240 72944\n60785 83088\n14068 66048\n19025 47237\n84642 98758\n35447 74080\n90283 90728\n53570 71502\n48979 84035\n7525 51366\n35399 87925\n51813 61929\n70804 83702\n74482 94019\n48690 76916\n15468 54422\n23262 32794\n37961 53294\n42319 75355\n61204 74836\n31205 84876\n16644 70627\n10933 22464\n31641 44425\n1354 3224\n586 10382\n52903 81153\n56230 59518\n4678 17233\n53064 89930\n926 93623\n57949 74204\n50871 62326\n28789 89920\n69673 79472\n14170 86820\n50488 91607\n772 97468\n79804 91254\n31960 47267\n31564 74144\n45391 83200\n19775 97499\n60728 67200\n49050 75819\n59903 71852\n30716 35557\n24594 92928\n27454 53946\n88314 95174\n6363 67326\n13505 97413\n38177 42243\n45498 96593\n1016 39886\n82571 92754\n33369 73942\n49006 59635\n7988 28743\n17474 84947\n28959 65485\n19275 32910\n24744 81116\n14059 67021\n54442 63255\n74152 99707\n11218 62710\n5175 41979\n29388 68516\n20461 20525\n6473 20814\n2899 60724\n38578 80741\n45888 96269\n3858 24475\n63312 95419\n44344 87565\n19797 99486\n12849 38404\n49546 89862\n50454 73510\n6449 89081\n11705 84125\n66247 70191\n18724 93496\n40190 68339\n9520 11682\n63772 80141\n22097 65685\n5802 32183\n42075 90238\n41334 97775\n64106 75665\n65664 93414\n16194 82421\n39894 74045\n17293 59518\n4470 44719\n24598 84819\n12995 40360\n13565 92695\n55859 88178\n30080 39514\n50589 69450\n32499 33127\n693 50652\n25344 90459\n21047 50223\n50603 61057\n3129 89376\n5868 11365\n42728 51665\n89634 95319\n33183 45198\n6815 7259\n5600 26547\n36481 37696\n42528 81433\n12490 41297\n37827 44558\n15586 30035\n18681 42545\n24022 96757\n716 49613\n50493 77085\n71683 73759\n22016 26079\n29125 62690\n63555 78148\n76436 97726\n37281 81170\n74583 91758\n16668 29324\n86876 91526\n16225 53970\n50777 68358\n93611 93939\n76314 82851\n53009 83544\n84 18692\n12904 76765\n1408 25042\n47561 54110\n38564 98681\n39270 59430\n7409 62374\n56825 59985\n12567 97322\n82853 91417\n2320 58415\n19439 54470\n72801 98811\n54967 76380\n33863 40194\n68480 80152\n40821 87961\n5418 81415\n22923 91426\n44565 84112\n84366 88862\n26267 80454\n13859 80670\n50195 67775\n50828 65989\n27982 82600\n15773 87757\n15782 67449\n48296 65524\n3610 6415\n39576 61071\n22118 44659\n26550 45015\n17076 66339\n8325 45547\n26283 59033\n59272 94699\n81096 93646\n5037 65116\n6032 88081\n23234 40605\n12277 32843\n74352 92697\n8934 96515\n89603 92442\n50034 51410\n58954 98118\n21341 83300\n8703 45057\n5740 6219\n42390 61224\n32748 88411\n18317 20411\n56107 77552\n16127 22037\n49051 64373\n43978 89899\n27903 85339\n57735 85296\n41536 43578\n3260 6167\n24066 74817\n23887 64928\n83415 88598\n53811 59943\n49699 53783\n64357 82886\n7909 22598\n53802 62289\n16240 41540\n10282 47779\n7838 89581\n79686 89980\n43309 90209\n16729 85876\n29129 45206\n56439 87061\n40816 64576\n52337 84110\n29727 54078\n32095 99390\n17966 86755\n16799 37706\n9082 61440\n2323 72524\n52400 77057\n29667 36035\n7482 9488\n21001 51284\n7008 22049\n667 86738\n50673 72941\n21696 98809\n31835 33829\n48591 56191\n32245 48180\n60984 67065\n20530 93499\n18927 31420\n52437 98113\n48662 57031\n33648 92816\n46624 75693\n11161 85135\n8035 47562\n9745 78867\n40935 83600\n43646 76228\n3562 40070\n36604 93767\n8746 44538\n22536 32403\n16442 74510\n52493 82503\n16242 17204\n24346 70147\n25656 70301\n53459 91967\n50112 59607\n15346 33739\n43401 87741\n7844 12308\n12684 22306\n3522 73370\n22603 80190\n26750 62941\n42064 69965\n80321 97432\n25167 93682\n11143 47226\n4589 14676\n41614 81513\n49775 62806\n6606 25884\n16208 27163\n92 5268\n5459 52078\n50446 98041\n14402 25442\n20577 32136\n17550 63957\n81348 96730\n14401 15840\n32731 76995\n23826 83859\n52074 88806\n17539 88821\n12775 82529\n24706 65811\n40878 59343\n9957 55048\n76014 91699\n37674 40862\n10034 96043\n8741 75432\n37771 76307\n14509 88899\n9483 98391\n62173 96308\n41230 80337\n19648 71905\n70068 92454\n74716 75677\n19902 77000\n46029 62657\n91757 98249\n42908 45709\n15266 80096\n47156 89198\n26181 58012\n29404 99454\n24738 56736\n20507 64983\n43059 44250\n9353 48944\n2695 82730\n2072 6591\n58739 87874\n39084 80302\n6033 51385\n1977 24249\n36685 99909\n23609 45517\n11273 68337\n14939 19907\n38084 76433\n7006 67048\n5066 74584\n11705 44170\n63813 71828\n50334 58147\n16991 50737\n64088 79238\n30764 73262\n67639 75941\n11908 23630\n31027 41605\n67515 86868\n60500 76764\n66439 85208\n20939 91337\n82880 93846\n69135 82286\n35498 91810\n38166 95070\n25870 45744\n5924 80921\n88365 96390\n4921 21620\n26160 37595\n68177 86690\n42304 77331\n39688 86150\n12558 96277\n26444 52963\n61684 93159\n722 40637\n1996 5026\n56970 60207\n81252 94406\n29364 92129\n70665 94192\n15939 84913\n54957 97317\n26111 87514\n7127 98743\n52612 65294\n47481 85941\n88401 92016\n8755 20590\n51094 78470\n45607 65522\n14469 34572\n16918 70813\n47102 78162\n49400 73395\n44125 80826\n71655 88029\n49829 88153\n16657 89731\n28574 89396\n393 27834\n9082 18754\n11445 57446\n45727 49390\n61832 99108\n12323 69654\n49036 91441\n20030 43713\n74683 93961\n18930 62776\n3308 54459\n21908 71728\n37483 38166\n5029 22830\n28967 53958\n9271 15440\n23737 27428\n34491 51910\n55174 57071\n22003 62089\n15647 62319\n51414 79243\n8359 81816\n12416 62536\n34256 83997\n25465 73841\n20357 23428\n501 84532\n4406 51065\n85727 91869\n5348 84169\n60335 92135\n19265 52125\n19985 64844\n21142 51041\n88881 99770\n44743 51870\n9326 30612\n51612 99329\n60028 72121\n29353 64281\n23524 66485\n31698 95009\n26213 84561\n37851 53816\n45969 80795\n4419 83737\n21297 25287\n13475 16874\n25048 77301\n33752 38561\n10455 51606\n2394 40730\n39214 49767\n74858 77635\n28860 39125\n843 82711\n1911 76209\n34750 78909\n19195 24669\n17724 80833\n1560 55951\n13449 81196\n40067 68696\n9260 34197\n57488 61095\n52051 99541\n2781 5851\n32082 66966\n38806 90881\n31432 66690\n335 10597\n48111 49927\n18367 87893\n83393 97529\n2770 72602\n674 73945\n41074 73264\n51628 96947\n69261 73713\n74528 88786\n65330 70704\n32927 46506\n5322 95675\n26974 98101\n13646 88879\n3547 17471\n22348 72823\n11040 85588\n72629 87918\n21604 54347\n64460 78310\n47265 57030\n37918 59938\n74274 94233\n18459 77141\n7865 22853\n53811 90200\n43145 52130\n54912 74646\n36166 66324\n120 93073\n45533 62349\n58887 63632\n2393 97062\n35747 72312\n63691 88481\n38915 84327\n4448 86809\n17799 23727\n35510 60106\n57189 65027\n19877 99391\n58613 77983\n18516 76764\n76525 80119\n18438 66258\n10382 11430\n11136 44738\n18933 50309\n33135 59135\n8840 72954\n14196 23207\n14267 96616\n42951 93180\n47744 55670\n47878 89542\n22180 60105\n21232 65920\n69551 72866\n33513 48766\n29883 74240\n7935 86476\n15046 25240\n41618 79567\n22412 72674\n74827 85052\n64267 87545\n19556 91599\n8588 65227\n17628 46320\n16751 34355\n32181 72399\n3482 81781\n87852 88225\n18728 79962\n72314 91193\n23958 39564\n3608 85569\n63459 64950\n87164 90579\n63787 87072\n28998 69025\n28041 91403\n6333 23116\n20993 69567\n46014 87981\n75587 89684\n43823 99892\n20006 38328\n84081 98165\n38264 41047\n57581 72112\n46861 74217\n18709 81395\n44281 64767\n62 32447\n69379 95803\n46564 83507\n23875 40921\n24725 80732\n368 57977\n22856 50501\n11630 33389\n50695 82516\n10449 55539\n63858 73904\n46585 63024\n83266 84440\n45007 72953\n35295 46653\n31305 54492\n49019 83114\n3371 16886\n63066 86544\n35311 46011\n6899 89551\n5415 77953\n47693 85317\n10804 54800\n10424 60473\n19223 46287\n8217 20187\n25654 35880\n39141 43445\n74574 81384\n4386 81223\n25327 90782\n36644 62314\n2337 5961\n23083 81021\n23394 42320\n38895 79979\n14991 67032\n41692 78979\n21262 93415\n22836 76420\n69180 83352\n81766 92705\n21462 90593\n68127 87472\n24629 63866\n5955 55830\n65632 75038\n57606 88421\n93 59593\n29167 52258\n4180 71613\n78545 86678\n1681 37644\n19577 45401\n30985 73265\n34891 74157\n7937 90846\n20397 52742\n7110 76689\n40479 43184\n53860 59277\n19713 66861\n51133 92984\n37055 94779\n23532 23534\n55108 65365\n18803 53564\n47553 82079\n9657 55007\n16703 51974\n4941 47962\n25225 32227\n16434 82043\n32 32687\n69036 93680\n73026 97266\n63734 67428\n83069 88574\n19874 48026\n46354 93393\n24088 62023\n4388 46846\n28411 96165\n4255 45226\n21685 51617\n21138 86147\n26080 43969\n42556 96896\n95985 97766\n3911 62801\n22708 25753\n26486 32236\n7173 84832\n6309 52866\n61525 72863\n27852 88699\n41899 43516\n312 76225\n43503 54867\n6267 67732\n16765 60988\n31336 62979\n8743 18159\n17211 58850\n27299 81762\n16188 90610\n61166 99219\n6846 65930\n28586 82650\n33355 75709\n53693 54598\n69273 95225\n50412 77647\n74715 85930\n18557 49375\n29731 91633\n7901 29641\n47198 70858\n2274 53284\n43346 73549\n23820 97686\n23274 60928\n26823 44900\n46965 63830\n19050 34915\n7645 85906\n8207 88612\n19389 71065\n48120 51457\n21937 91325\n33985 43133\n4477 87010\n10672 57600\n6722 67960\n23691 59555\n1871 40137\n6125 37398\n27331 38256\n41594 85345\n18736 94542\n38079 73827\n53227 98798\n20149 21112\n12172 46602\n14762 75508\n36210 53437\n4024 95689\n2459 16447\n27798 43003\n11429 74788\n2089 26095\n25486 88232\n18024 81011\n49393 56664\n60826 67500\n32679 61691\n64070 65040\n56705 73560\n36903 40167\n68439 81536\n23389 46160\n29921 69829\n16881 69363\n26885 78973\n72605 86262\n2095 14143\n31975 67803\n5386 8896\n31320 43922\n55987 56480\n19910 80898\n6762 99198\n80166 85426\n2036 62317\n31186 50877\n38917 41063\n47168 76652\n7692 28295\n90475 96572\n79289 80721\n31725 76074\n25326 98104\n12286 21684\n15551 76374\n49847 50950\n40470 57270\n45940 70335\n6434 58602\n22306 62595\n2982 3017\n26234 31936\n25525 26708\n31959 73375\n1637 59534\n3627 53653\n67065 83558\n75685 81970\n29784 93546\n53488 73332\n1582 60145\n59705 69789\n55320 64370\n23079 64389\n42011 96171\n22594 73382\n2010 91394\n57529 94632\n6353 97554\n7988 50770\n21596 48733\n30765 75702\n5366 51707\n12418 43708\n88011 90115\n12889 75753\n67830 90311\n29435 84372\n49514 83937\n85513 92766\n29210 98561\n43747 69845\n52533 91865\n46260 74820\n82036 84669\n22685 50721\n30502 60572\n26956 61212\n5424 82209\n41600 74531\n36163 41712\n25024 90841\n8585 9908\n22388 68892\n59298 86824\n48947 92969\n58185 94493\n10497 72611\n59748 73681\n34694 85069\n54362 73304\n19319 76053\n1309 48542\n7424 81766\n45978 69277\n11852 12266\n1210 2901\n57401 65531\n38229 76007\n48225 86823\n49272 78694\n61716 95729\n35699 45270\n39331 85030\n44792 57333\n36809 83556\n47331 57116\n98444 98667\n26105 83622\n68787 78423\n26168 41720\n15249 22565\n20151 28830\n64982 83486\n19443 79107\n7449 89363\n63550 72507\n12212 62990\n51140 92580\n67155 73554\n17600 18897\n31582 95890\n77811 93851\n43662 49676\n603 88724\n32210 33713\n91004 99765\n8911 22850\n39603 73380\n83361 86454\n44159 83195\n26708 50591\n57644 92382\n44336 54047\n18416 92437\n17372 35242\n1337 97687\n20403 89420\n19486 76593\n29196 61419\n96424 97102\n40429 58858\n54460 55775\n766 8551\n4639 81743\n37012 38048\n11141 27930\n54986 72923\n71685 72723\n89276 93492\n24425 62821\n2162 26407\n4647 5130\n31623 63888\n81819 97129\n29725 68137\n41837 44558\n65813 89019\n20360 36363\n1626 48822\n5025 13281\n42022 45720\n10632 78195\n13621 24655\n12535 47956\n2966 91567\n8199 66450\n46579 81621\n33227 40412\n33729 51280\n11877 65792\n2311 78494\n59999 92184\n26892 83408\n23621 52270\n2915 73935\n55437 58746\n2588 41128\n1399 11059\n30115 67152\n58766 99483\n51291 79922\n73245 79032\n22398 53482\n30557 77495\n64803 74382\n27753 51706\n42106 61330\n24554 60271\n28495 42632\n51294 53692\n9286 89985\n35896 83335\n16501 47404\n88208 89794\n2146 50291\n79646 94778\n20560 51754\n37332 97005\n29114 84173\n11861 81470\n47728 62285\n4946 82962\n38397 56853\n32212 69555\n27633 51676\n14313 28345\n6966 96891\n26500 73888\n32419 98432\n37119 95518\n59115 82460\n17700 27070\n9339 55542\n20633 89227\n4799 79701\n63695 90410\n53682 99091\n32257 40868\n2032 72845\n77073 78215\n4254 23665\n36545 51758\n31671 75257\n42708 56749\n22420 73774\n13907 72481\n16274 18357\n53154 75892\n6729 57531\n18382 41730\n8 62466\n43208 73504\n64071 83835\n34291 86662\n45628 87047\n10762 46106\n43188 68002\n24204 97405\n39393 44767\n25351 60079\n77971 86723\n650 27181\n47230 82394\n43972 63858\n18942 35977\n83733 97169\n19640 93720\n34560 50185\n437 20429\n39363 68194\n58178 85964\n13168 72206\n35816 65542\n13279 55911\n19240 20851\n4472 67104\n69192 84446\n64987 89529\n19729 53665\n11616 52707\n5029 18598\n63536 77675\n1472 66140\n2218 94477\n7159 53714\n9409 53743\n31986 98208\n58000 82800\n15681 44812\n9086 90673\n1374 80040\n20990 82913\n37982 41691\n34785 77744\n16183 16288\n14131 14207\n12527 42723\n1530 72391\n32881 36343\n58822 91477\n47999 89880\n10638 94366\n63932 74776\n13706 49625\n74340 90588\n30539 75286\n20112 32751\n45827 71677\n40494 81581\n27483 28684\n20268 34564\n48779 80350\n2037 62617\n11364 44480\n40251 95075\n47667 50124\n24459 47768\n54629 83822\n22755 63109\n53292 55299\n46413 62529\n56501 61210\n47049 53425\n67761 69864\n11277 55009\n13743 91720\n52021 59487\n9858 43381\n69908 89458\n18392 47998\n53767 90147\n21768 31465\n62522 81354\n77047 85829\n67454 77508\n79520 87141\n306 41584\n63376 96574\n47684 67311\n640 15836\n63942 96580\n35674 53066\n9993 77526\n25067 44862\n38359 87835\n18731 55262\n21601 43661\n37919 93369\n14725 51638\n46574 94347\n25311 90657\n1789 92845\n23191 82265\n77016 99112\n67159 99695\n19206 64898\n67557 90690\n38198 72557\n13345 40760\n33501 94501\n15111 84526\n29794 34066\n32886 95469\n33299 63348\n51284 73034\n49677 91292\n25753 57236\n52718 57722\n40191 69346\n17031 27114\n16667 72748\n68678 89689\n9769 85394\n59492 91054\n92623 96029\n96580 99854\n3544 50804\n50975 55194\n74015 81203\n35672 74213\n67212 68425\n65313 98916\n50517 64830\n23052 92436\n19888 37766\n83796 88368\n32114 97448\n51657 93646\n33948 58561\n86668 90809\n51265 99003\n11946 69197\n80285 99256\n31775 94231\n45766 53467\n40414 72131\n23875 58063\n29933 97515\n23642 61407\n98317 99867\n7391 52278\n22874 34821\n56845 73766\n6559 11909\n60272 67157\n50926 79633\n25336 32041\n81143 81660\n4773 94080\n37785 48380\n54827 97528\n29860 87666\n10361 83128\n3151 34624\n22899 63806\n83830 91201\n26342 91700\n35640 70116\n10333 89149\n38520 88998\n1478 85986\n7653 36562\n1383 85242\n42670 93793\n7699 58351\n49669 78787\n55143 73760\n36038 54418\n3146 33624\n30249 33821\n53693 59238\n10936 32178\n46449 74884\n32792 36256\n20753 61678\n3750 61460\n3760 21269\n30417 69962\n12053 98108\n49914 53465\n10501 15883\n79111 93436\n72380 94400\n5566 80203\n3534 52624\n13103 16688\n7798 69634\n46775 49376\n52785 66720\n14276 82393\n35563 53024\n29302 76123\n25871 66891\n91220 99461\n10704 83451\n33033 49061\n29568 47148\n29790 61543\n23401 32485\n65734 96218\n34044 91057\n7349 78192\n26959 45455\n8279 84612\n6814 35108\n88295 95248\n6116 69872\n4000 40732\n20697 21181\n11088 66603\n28255 65124\n7333 56727\n58046 67685\n39143 81658\n16386 61072\n59652 72309\n75148 85898\n7127 40634\n61652 62193\n24468 51332\n59835 81500\n14292 42863\n14763 32720\n81445 93294\n59336 87364\n51926 69985\n2759 15314\n20053 47878\n41291 82344\n53477 85027\n36880 83598\n9464 67560\n22673 56464\n25352 77584\n73119 84795\n9404 46327\n1976 13147\n70150 72788\n6723 56154\n49383 66494\n46813 66510\n43351 78752\n37833 64157\n50268 78204\n6883 16716\n24565 81435\n48167 98913\n23747 56486\n60685 84079\n20302 86978\n22899 41769\n931 69245\n18640 58558\n8815 32548\n21366 55418\n5509 70282\n11279 39076\n87915 97078\n15037 26534\n53514 78447\n23675 50406\n25718 76304\n31584 38388\n40235 42755\n23803 95940\n8051 30653\n96398 98503\n8702 13958\n44167 83925\n28296 99653\n11840 12161\n40080 87060\n15182 42647\n30511 55406\n33731 92166\n35065 65118\n68136 84241\n15241 44638\n4528 42848\n9443 15068\n89476 91844\n16616 94766\n39152 79605\n16542 98560\n40434 61816\n33372 41365\n12949 92783\n86973 98588\n13784 66216\n22920 77296\n22947 38223\n79375 99641\n40596 42550\n73736 78316\n35101 49134\n64671 95685\n1439 99660\n41453 42318\n34652 73962\n3429 61777\n23426 59346\n38073 51490\n72763 94443\n2054 52352\n44309 87984\n73929 74734\n6049 90379\n50060 74578\n11410 74040\n3818 73506\n15669 82646\n27632 45623\n1473 39833\n52520 82707\n677 15194\n24336 92887\n17349 71809\n52448 73531\n10585 64234\n48678 87940\n5220 72295\n44070 97839\n27089 75563\n42850 65202\n37207 91574\n1066 63642\n48808 97144\n21271 68908\n31470 99440\n8979 76489\n58144 59298\n65423 90595\n55278 65889\n41293 67232\n72659 96612\n22906 95952\n73661 89627\n21316 94566\n28414 88139\n82814 94813\n55531 57487\n37583 49835\n19364 50408\n47953 93663\n56963 91390\n24300 64366\n18658 81026\n33363 83788\n30962 40972\n22633 46216\n3840 49890\n47855 48810\n71010 72303\n2095 91159\n435 8506\n38606 52187\n73464 78217\n39395 51463\n39495 98627\n17147 17411\n48085 94663\n37487 71094\n29514 31973\n66599 98064\n15820 61140\n21739 74489\n42890 42936\n32390 54467\n36081 74334\n22988 96029\n22272 25354\n64610 88686\n71816 72183\n20783 21685\n74968 76424\n23068 94146\n35320 83954\n47909 53195\n10252 68085\n38208 42752\n29685 41069\n7596 79974\n31550 34690\n14684 77710\n14043 85021\n24094 74344\n22046 24456\n55206 76676\n3689 54331\n4707 54307\n71242 80748\n86912 98338\n49528 92422\n34615 85969\n63558 85850\n26274 83186\n24404 89686\n4577 53720\n31142 51764\n41335 77112\n55426 59476\n21314 76110\n47952 98161\n77312 97185\n90265 94690\n26976 89753\n46443 52980\n37719 44533\n33785 81412\n728 5340\n55215 55331\n60869 79223\n66399 89694\n13015 24956\n21038 40021\n49761 62132\n48913 68739\n52278 59848\n94103 97483\n87428 91068\n18078 36744\n1791 51297\n19084 69683\n42265 79665\n2480 98838\n23630 32596\n23378 84512\n585 57834\n19881 42611\n43610 64148\n63590 90103\n2596 49214\n26936 60156\n4967 66133\n41329 92888\n23099 77263\n49627 96163\n77556 92480\n16870 99016\n9110 76541\n62098 92770\n42163 87043\n31882 54338\n31359 99018\n64059 90437\n9728 35599\n33420 63851\n20941 25636\n15781 39817\n10266 18071\n50004 76290\n37912 46565\n13996 31746\n48206 68917\n63667 79099\n50373 97710\n33138 80604\n58448 61827\n27165 79911\n27099 44606\n19308 41293\n4724 43610\n45045 46843\n75832 76410\n19776 29831\n49642 94755\n18215 33428\n92158 99436\n75304 84089\n44835 77078\n41905 77110\n65745 89511\n76304 80980\n30108 98517\n43835 89222\n51055 93204\n19808 55173\n79476 94012\n60106 62493\n29184 49504\n8922 25793\n17022 91515\n18145 70282\n36925 70930\n49442 93371\n21800 60833\n24369 77226\n41372 59339\n40854 78255\n3621 80521\n86879 94104\n19151 33724\n16511 69827\n8728 27700\n22503 97905\n2728 96323\n64694 93915\n14558 74578\n89991 90019\n1192 25535\n62028 98455\n18285 28051\n12325 22921\n24779 63997\n17367 90807\n20115 48466\n5049 20676\n36314 75100\n2542 35268\n1843 93156\n5967 42981\n4335 45961\n23760 25240\n51424 62354\n10865 65098\n39677 90822\n53839 60772\n34417 57331\n32387 89181\n19433 31630\n23521 36036\n62741 81589\n9575 57232\n62614 85760\n4224 49604\n30259 89369\n45358 50308\n7787 93625\n35551 78617\n55082 74303\n10014 32189\n46678 50225\n17116 92640\n915 91796\n33275 39211\n17131 47755\n16957 89656\n58106 61385\n30254 84377\n49293 49761\n13262 39835\n23890 72948\n62417 82985\n44914 59134\n8211 34458\n4998 70812\n45697 56894\n9061 45287\n20841 62666\n27885 61688\n34538 43927\n48598 53895\n73524 99138\n38271 99122\n96569 96750\n49547 72477\n56984 60849\n37002 89240\n62208 96618\n11944 91276\n6899 44740\n67475 89151\n5843 46467\n19029 71193\n11633 29935\n8843 10143\n66979 85857\n23192 80225\n50392 93341\n63914 78634\n65802 94577\n35393 53122\n6606 27881\n54902 64582\n7293 31656\n7145 91804\n71365 97054\n25049 58511\n12682 82680\n2270 6370\n17381 53241\n24869 31572\n49642 95638\n49530 99077\n24051 38476\n73729 88972\n1015 38293\n11104 39990\n25052 33545\n26445 90108\n48300 55751\n29678 76400\n59016 79512\n37601 73512\n21724 98128\n1387 34223\n42475 45638\n55336 57272\n69482 98374\n6558 73736\n60804 89608\n5308 25341\n71441 85015\n19895 29449\n24448 68411\n54143 86113\n92233 95256\n53689 91550\n13029 55809\n46168 73603\n36432 56413\n36939 67960\n22277 27546\n30617 45067\n37080 38231\n1809 6117\n7377 39512\n99140 99727\n44736 93726\n82375 88242\n34004 78723\n18050 79762\n31986 75673\n16536 85655\n22932 39380\n23842 64540\n75874 83438\n76303 97072\n2591 81185\n89013 92074\n3121 56750\n5012 87354\n49967 86551\n73336 83203\n17215 28981\n46916 74757\n78223 87298\n38689 88889\n10280 62088\n36003 51854\n19656 35887\n76413 99956\n5822 8460\n13904 75212\n44907 81212\n18032 80309\n54087 84010\n2616 43636\n55768 63575\n60952 91004\n78527 98433\n171 7221\n3357 99932\n32211 62873\n45562 78712\n70934 93979\n58680 64711\n19594 99757\n45841 73124\n18223 34707\n63347 93841\n55452 60105\n42741 70648\n32555 63229\n33563 80920\n66153 77430\n24357 45491\n40622 84277\n49422 61929\n6641 64601\n61679 87371\n17514 33357\n9326 25619\n20718 80087\n1809 3714\n80890 94552\n31658 91926\n52592 81275\n30625 33078\n12519 59368\n22715 49645\n3179 17880\n12339 16180\n5382 99386\n37996 90036\n27572 41478\n31486 96637\n57891 66862\n20840 96481\n13896 71024\n13952 44163\n71457 73403\n36547 72426\n57691 69572\n1067 24683\n2170 81757\n30562 75625\n41785 66096\n18197 73908\n21349 70387\n11360 94182\n51270 77699\n2125 86949\n12515 92638\n68313 86814\n1946 75022\n34917 50229\n21438 88680\n22131 54472\n15243 76521\n29880 60282\n29561 61663\n2623 16764\n23501 32772\n19266 21774\n53388 99613\n58129 89542\n39503 59763\n65744 71712\n24942 37708\n93696 96043\n1323 61985\n12691 35454\n16647 87720\n79066 95976\n17424 17865\n34345 39345\n29765 49268\n49087 93246\n9491 52473\n16285 94243\n43405 53955\n36876 47018\n96433 96673\n49500 74146\n538 95479\n25809 30443\n58180 71021\n17338 32406\n95809 97041\n49796 60897\n14371 95749\n15225 55005\n21742 51774\n85003 96782\n36322 93926\n15309 70117\n65205 81707\n6335 8187\n40308 57232\n49546 54432\n12860 94315\n33703 67811\n3987 60776\n15744 80617\n2476 99007\n33025 85494\n10775 29704\n72131 76468\n18928 25680\n25372 61612\n88751 94714\n56951 69141\n36828 64734\n20092 37456\n63930 67230\n14407 88935\n48358 71510\n60106 77753\n4195 19601\n58542 82253\n5875 53013\n75884 84312\n5886 65572\n61052 86600\n19871 58195\n19282 40840\n43619 52345\n50901 83779\n4720 14853\n45103 85390\n51251 56479\n68400 92989\n17322 48327\n8017 34991\n54198 90504\n65969 80867\n46181 67069\n30530 41313\n498 33138\n38002 53509\n50999 59686\n47128 79040\n5779 54608\n20283 33167\n56698 87746\n3016 11834\n28896 40390\n2428 80391\n32769 53563\n1316 69969\n6302 50106\n18831 34859\n26804 41450\n4279 96616\n8328 53485\n10151 80199\n85349 90807\n24347 92577\n52466 78042\n41122 73357\n44155 86841\n33989 81972\n21163 72502\n26717 75679\n25473 90334\n68104 82067\n23479 52212\n13401 47197\n52553 54123\n68903 73125\n20010 61704\n10132 14762\n37923 41756\n18530 72785\n59544 92140\n36517 75427\n29330 60089\n13152 93654\n17579 40045\n727 65546\n20500 61692\n20778 30292\n68357 99076\n23805 99771\n10242 51969\n33082 49478\n17940 29977\n16046 69380\n55965 76469\n12223 26317\n43005 60880\n59667 93517\n70524 79677\n20306 86091\n91942 98469\n17958 24123\n60048 82745\n17449 73533\n29118 42102\n41102 59592\n33875 84624\n34041 71319\n6528 26414\n89617 93066\n50542 87318\n44042 86834\n64916 95414\n14057 98953\n2238 91568\n8213 89611\n24921 61091\n60192 87354\n64574 86253\n13402 61918\n48017 81799\n11641 33024\n18303 34414\n31847 51266\n4449 5204\n28182 71433\n2561 96640\n63289 92183\n61644 92566\n8544 53727\n25539 89968\n69762 78895\n77061 80508\n10234 17003\n81793 83193\n54945 55042\n22085 88729\n56727 67557\n55697 93190\n28758 82856\n31113 91408\n18629 75390\n33661 63767\n47276 53176\n27357 65711\n37464 99619\n38882 99517\n29514 83567\n58935 59521\n71755 87810\n72155 91563\n5724 29002\n18504 70079\n52933 86783\n39967 99449\n38483 70696\n11609 52885\n16243 56335\n19609 61341\n7239 52310\n24914 53821\n11126 25142\n9816 48911\n6376 25213\n70828 91663\n16830 65760\n76202 84932\n5466 42404\n64937 83133\n6171 48857\n4466 6940\n69988 99001\n22291 35662\n32610 41507\n62930 95908\n4940 40475\n39353 70511\n81307 95097\n38520 98878\n36038 71614\n372 12225\n38134 94709\n16068 37492\n17024 23789\n24550 79858\n59917 68271\n16838 63714\n15155 97492\n49627 82330\n1134 46903\n21774 93913\n69776 82374\n49364 91410\n3095 93779\n40046 58367\n68949 75183\n8828 98522\n53833 80059\n14356 14871\n33646 38097\n12618 81378\n41616 86468\n65088 74819\n10492 59049\n52556 75584\n49661 59665\n5509 13391\n30104 60593\n19822 80871\n23559 93339\n36252 51359\n14630 29785\n30997 78318\n28071 44394\n18419 23453\n35519 52847\n13776 50693\n50656 83947\n31076 83302\n3103 9138\n41534 51278\n5841 33765\n79010 81953\n55252 70391\n13341 72252\n35970 45988\n5429 26527\n52734 75156\n59358 94148\n41501 72316\n55027 60305\n15976 85176\n30440 59812\n14871 50196\n22051 82186\n28790 40031\n78796 79497\n32700 69930\n53237 94242\n20918 95242\n31100 87300\n49913 97081\n1152 53194\n49939 84483\n5716 93451\n40750 99967\n38454 99409\n9689 56843\n46792 62916\n4208 13104\n57089 91295\n49520 96004\n62092 81805\n10589 79552\n42886 54073\n56161 99849\n61444 68128\n5638 6878\n2277 27027\n24217 88304\n17936 35390\n93216 99875\n91322 95896\n39932 76806\n38490 84267\n38459 99673\n64299 66437\n9679 41074\n15652 81360\n12016 81504\n27269 45958\n68096 77968\n61 64902\n19022 22939\n19798 33548\n5053 57768\n15540 50592\n23853 85712\n65781 97551\n40551 97632\n36987 99489\n36755 68972\n31242 32790\n33536 72902\n10394 52699\n59221 74934\n10224 46567\n11206 51100\n77115 92449\n39130 57748\n33253 75984\n58251 93919\n77588 79918\n8909 78395\n1119 73017\n81260 94074\n3075 28948\n23176 40668\n35195 77761\n25966 90264\n39951 77718\n38165 85432\n2073 55176\n59004 76120\n70894 94186\n81233 91950\n91928 96904\n20162 56795\n29944 50714\n81791 89783\n46990 48904\n8033 52432\n42351 80019\n32747 71265\n21113 63188\n47691 84522\n27130 43884\n14286 67928\n23044 36136\n3053 51967\n52610 83138\n18060 50146\n16798 58858\n967 65564\n46226 85890\n1724 23919\n25429 29274\n31659 93288\n20204 99932\n2671 78485\n15061 72279\n9689 90372\n97982 99492\n48363 86375\n66027 72466\n76123 82992\n12391 81031\n62745 90047\n92435 99215\n7458 70295\n15401 36239\n3565 43218\n12728 85135\n32228 80826\n59623 93220\n6326 28604\n68389 70858\n52353 83227\n67732 89537\n12617 79750\n32525 45182\n16832 89027\n3232 53956\n12670 28838\n28181 56861\n3843 39331\n79988 90725\n48518 65256\n6392 40177\n16627 92078\n7568 36454\n3469 18296\n10665 89978\n2158 94672\n20993 65583\n3082 65053\n78142 88610\n73183 83434\n11749 33184\n53378 84031\n43010 89000\n59617 78555\n14845 95628\n24862 52524\n40870 64553\n38494 81985\n56397 71843\n2009 92980\n94782 98862\n723 18634\n18927 41325\n1376 92441\n23304 57489\n11025 35716\n1227 92671\n57780 65656\n94979 97795\n6836 20888\n33201 37220\n14326 88861\n5519 43244\n14828 89039\n76214 89351\n59235 90952\n40902 86790\n13980 71709\n429 35482\n20987 27224\n25734 81534\n67501 85620\n26354 49887\n41136 86587\n1975 98217\n817 97355\n12766 87385\n80883 95137\n24543 53821\n44217 59453\n5604 62603\n26502 99350\n74879 81249\n54300 66496\n9956 72617\n51282 88251\n6255 70781\n36033 45971\n16762 78886\n25611 75329\n58680 97401\n25633 37343\n25 98711\n41363 93975\n51929 91429\n58204 73882\n44489 60874\n37069 38720\n74834 91470\n24371 27700\n43197 79741\n2839 7104\n10775 40942\n27477 36997\n26316 96620\n59521 71612\n17007 30906\n11515 75529\n57322 70553\n20028 33322\n8817 29712\n9318 78548\n81991 97469\n17945 28452\n85806 99553\n55955 87797\n7703 84932\n15331 39496\n5966 93752\n11828 96736\n38184 64454\n55790 76296\n82701 91811\n55078 88159\n9726 84428\n16560 21902\n280 52280\n37980 61157\n90284 92795\n14087 30760\n26452 49527\n22135 93639\n61191 69021\n18636 68095\n35266 88758\n20637 56843\n58465 58929\n47119 98247\n6379 95984\n65932 87242\n10865 51409\n11151 99765\n15352 98579\n33290 37178\n36709 71001\n58284 93056\n36465 80432\n8885 26152\n27908 55181\n1956 53879\n28181 33186\n58745 71309\n33661 77838\n77310 98167\n60930 64407\n35811 92985\n14990 64102\n5091 27173\n4045 13309\n60067 64139\n19373 72416\n2996 61489\n83964 99175\n57671 78975\n59558 73345\n9996 59672\n50785 84768\n3809 30962\n3807 91450\n9503 25884\n59819 61268\n54862 73201\n15912 78030\n49524 91778\n2034 83315\n35005 68627\n73047 81761\n41589 59030\n71647 80662\n42148 81531\n4195 96633\n10165 22410\n2919 91993\n40260 97604\n44540 49854\n14847 48289\n72113 77738\n33757 36270\n15824 36610\n45929 76431\n21160 24201\n16042 77441\n5587 46499\n68743 82793\n11979 66597\n47437 99513\n72855 86075\n17338 62599\n37718 95320\n21207 50551\n789 72511\n38581 40293\n15846 22699\n29604 56419\n31082 41508\n24993 50072\n9679 42652\n91967 95604\n35744 72000\n34788 87126\n29804 94106\n10879 42285\n31496 75292\n70071 72506\n34398 40642\n81797 85031\n64476 65842\n42101 44265\n48722 75882\n78047 86306\n31324 97336\n34121 98025\n40530 96607\n26352 44047\n84069 95123\n43435 93619\n8340 46234\n18017 35736\n50301 53698\n9878 65120\n53930 93653\n25930 52575\n29015 59655\n4875 12133\n12560 15082\n42773 90444\n16397 85814\n36444 59857\n66236 90574\n1531 45128\n13513 31988\n38498 38699\n35443 86935\n10587 81799\n22550 44356\n29878 34134\n11168 96982\n2482 57917\n15412 43318\n27834 73335\n22659 62417\n48255 89833\n31165 55235\n64553 77945\n23018 93730\n42543 88084\n7977 18670\n82715 84370\n80543 95334\n53015 64665\n65679 76189\n18383 81169\n8967 44446\n45982 99474\n9592 96720\n86806 97483\n4330 49203\n5314 46870\n59879 99233\n84871 94543\n2845 30594\n60673 67265\n33144 41793\n40770 64308\n90686 95266\n32242 69419\n67743 81659\n11293 31564\n68782 70906\n39721 51647\n24643 36043\n24130 44340\n28061 41431\n21562 44427\n15991 57901\n52212 66499\n16705 37144\n14996 80906\n15574 62008\n20381 60105\n50835 87533\n18508 73868\n64305 69230\n52206 72473\n48791 69515\n28012 29157\n9175 33341\n15694 36115\n17138 40014\n79906 90085\n2726 65126\n46585 54298\n10784 49344\n48759 71836\n4726 73788\n81223 93055\n72996 83329\n25120 37202\n6705 76682\n11065 58242\n3873 31863\n20361 51630\n53667 84013\n5584 49198\n53932 59167\n32661 88446\n10406 42275\n12100 99182\n12221 98186\n17427 49860\n11902 85457\n33348 90324\n37985 84448\n9814 91279\n299 28981\n10582 27283\n28072 36385\n15403 58623\n2544 99224\n1777 27549\n46699 89869\n51162 84965\n29648 48021\n38392 54946\n27374 34816\n3983 46435\n49107 75298\n16956 43206\n8741 60383\n7511 36798\n18829 87728\n51412 60084\n14813 98985\n35989 60931\n31557 80548\n15816 52364\n34787 99676\n39981 82770\n7888 44639\n43806 66306\n59721 72024\n7198 24323\n31535 48645\n21793 27817\n17902 85839\n70021 96381\n32525 57000\n25474 49904\n58824 72662\n81528 83144\n61636 81249\n4196 4825\n1550 74674\n32792 55494\n25115 97141\n89055 95345\n26155 71370\n10509 19575\n21963 53092\n2112 11212\n11966 22167\n35964 37133\n27597 51560\n56939 63154\n1959 22597\n50229 51815\n979 17437\n24003 64771\n86625 94209\n46580 82616\n6101 72459\n64451 74970\n38413 54877\n60197 67805\n54978 86620\n19701 93075\n33995 47499\n3408 48559\n69653 72242\n98519 99626\n13113 46008\n35040 66355\n31553 69792\n71754 99337\n4852 32639\n46541 63186\n11700 72995\n5384 43763\n27317 39592\n49495 81141\n28566 94485\n30161 77335\n1662 81224\n17132 27482\n62366 87849\n50884 78398\n10027 34548\n64733 88590\n9834 19679\n8639 30948\n45094 77218\n2435 92544\n22258 51655\n54843 55457\n9920 98660\n60958 88535\n12135 76061\n68549 93100\n70965 99256\n25192 76983\n16720 78845\n52876 55768\n22824 74153\n43795 56506\n14734 75011\n45753 54955\n28702 48396\n7736 58366\n3488 3600\n18783 42453\n21356 90395\n8542 88159\n79594 84147\n47383 72249\n51664 54372\n24558 46356\n54441 95284\n73307 98881\n6620 14751\n13398 71731\n21483 32762\n76306 95188\n49631 86434\n80557 84508\n68010 99090\n66299 93271\n15485 35457\n18124 50990\n71401 77531\n52887 70512\n12039 53635\n28158 91255\n21125 33891\n6795 20643\n27373 77102\n8772 85563\n2951 96183\n68908 77754\n15997 28812\n3921 4877\n82133 94364\n25358 61084\n598 31113\n25876 92455\n47537 72448\n10971 70218\n52587 73320\n36332 84584\n40635 73510\n63306 78711\n32775 87578\n39460 52528\n25683 74796\n29313 97771\n46868 99551\n9382 60090\n60007 85743\n5475 59301\n7776 69505\n53816 56373\n5097 74489\n58196 66383\n38885 45090\n58757 89965\n56140 86321\n68849 80585\n87979 97079\n25244 77257\n21041 86863\n65904 95631\n64998 88681\n68249 97847\n60987 75745\n61499 96835\n44099 73848\n88250 93154\n22319 46896\n43807 86616\n58948 99073\n24700 77194\n85555 90497\n82976 97637\n37484 76993\n4618 59596\n18847 56159\n54844 67962\n47544 53062\n35817 68513\n89607 92681\n7555 45002\n20082 48809\n35105 59916\n62269 86083\n28562 88598\n9869 35938\n81898 98383\n40838 62185\n1152 89739\n36762 66053\n26627 89804\n22861 77088\n42273 68291\n51443 80832\n7415 13780\n35126 47959\n35054 99440\n13678 93762\n4600 38903\n15567 55187\n78452 91837\n16520 86540\n18406 31969\n26844 59361\n60345 72608\n49007 93709\n23493 88156\n20099 23365\n13630 18947\n13353 69090\n45514 52444\n62343 93133\n12037 40535\n25931 75638\n42520 70117\n82983 85253\n52347 79458\n38765 72161\n2083 53683\n50180 61366\n49046 94428\n511 14342\n21037 23477\n22023 73681\n50901 59435\n9436 90033\n8298 81958\n38439 74398\n90420 90815\n95839 96941\n88458 95517\n14949 97020\n28447 91030\n6440 68502\n72296 99534\n89533 98952\n11593 73588\n50477 74472\n34044 72078\n28852 61819\n45919 64618\n3058 28496\n72716 81607\n36723 87161\n46504 95206\n5457 45574\n47651 85980\n8498 59438\n52494 93043\n20072 74741\n35387 92147\n45641 49854\n52928 69774\n69363 83663\n68387 77015\n51579 58550\n13830 82409\n1710 46245\n11108 17447\n49672 89557\n21692 86161\n44482 45736\n40838 54255\n9308 24387\n41360 57535\n56561 89954\n20680 22386\n25802 60029\n48924 86740\n74966 84212\n17297 38041\n18174 66976\n9443 10159\n37567 53663\n2787 98254\n20719 89697\n2421 55314\n19352 64366\n91352 99098\n30968 91582\n37958 92059\n6868 18213\n43293 53867\n51122 84267\n5978 97736\n16287 85099\n70533 91055\n52392 89019\n1010 49697\n37849 93047\n47085 86111\n5385 47517\n17215 58100\n38461 94915\n42241 52130\n12685 85846\n48081 49214\n56837 60416\n41322 60187\n362 34149\n22616 24978\n2501 55186\n8830 98794\n19629 47699\n1365 32852\n36231 85779\n31816 95784\n10884 78843\n50901 90525\n36152 68806\n16890 18288\n4668 21454\n25631 56989\n35734 86298\n78644 97799\n60456 84623\n74956 80682\n3064 13970\n69047 94795\n64134 95411\n47656 82219\n34271 92383\n45364 68040\n470 71146\n27846 32334\n51251 62486\n75098 80884\n9428 41388\n15445 77146\n33276 53291\n62876 72681\n63949 78962\n36521 50483\n1881 72913\n20693 44368\n25871 64031\n14491 17402\n6811 13720\n48066 68184\n50392 79573\n3312 88400\n19689 32943\n27902 40100\n34773 86181\n53656 87178\n37520 97818\n49136 81068\n16801 36142\n6657 14595\n60310 86813\n70431 75997\n35274 70366\n492 58374\n47494 98864\n24334 47876\n73064 74588\n62955 77523\n79828 95682\n3053 99887\n62892 65219\n22682 62188\n993 84377\n1799 23397\n15363 43102\n90603 91688\n29351 48678\n60454 83199\n80561 96331\n80376 99720\n41905 72984\n57502 92268\n2106 99660\n65777 78195\n30194 57599\n15917 89233\n11989 25839\n14120 39679\n65032 72059\n22692 33773\n66820 67471\n37949 41884\n14739 98027\n29572 41676\n57797 83739\n19163 88340\n42186 63314\n1497 51331\n34556 44038\n17498 29431\n82185 95628\n54193 99936\n48736 74506\n51713 52445\n27768 27948\n35296 57625\n13368 98625\n4151 66454\n35683 99566\n11368 85044\n34358 95316\n39759 84496\n89400 99800\n61727 89352\n21750 35852\n42395 69374\n69754 70822\n45683 53522\n14246 55506\n65183 87823\n44192 94694\n20081 89260\n53931 75939\n73892 87241\n47723 52953\n19839 62309\n77704 95498\n5809 48561\n60839 90639\n50353 95055\n56233 72884\n78373 90787\n2360 11499\n11084 93170\n19580 48892\n26237 58170\n38193 53682\n91017 92248\n6682 66467\n66340 82449\n31417 43589\n82906 92678\n11854 71728\n27028 35836\n45331 76933\n45087 80150\n1736 63250\n4109 95073\n45111 77888\n2917 81740\n41053 82436\n12399 52359\n58007 74510\n9977 60851\n42079 47327\n24654 94712\n45060 80466\n43699 84000\n62960 66073\n11522 93775\n46553 67878\n45657 58252\n9706 20574\n8580 64099\n20325 58001\n67978 98361\n66390 92242\n44278 57499\n32606 88901\n10282 50974\n57839 70371\n66333 90722\n3539 24852\n7723 33400\n36144 71328\n6452 77586\n32656 64881\n59389 63889\n82655 90326\n7544 28249\n10626 78787\n68012 96968\n23297 38567\n6056 51355\n14666 57106\n26023 99818\n55750 85581\n52891 67732\n19608 96111\n67742 86268\n1146 88894\n10688 83162\n15923 80284\n42534 48250\n39471 72475\n3867 7653\n30882 67599\n20069 38628\n12898 69456\n32319 64176\n31626 43493\n47288 51155\n88522 95762\n20960 24287\n9432 97794\n15825 81073\n40806 55835\n22112 41963\n35103 37805\n415 35317\n46702 63172\n10219 37050\n50356 75684\n47279 59662\n71972 93753\n62487 78888\n31262 71268\n27757 90913\n16371 30390\n8793 75869\n27229 38546\n57334 93628\n36498 84034\n40560 40923\n28951 51427\n7934 24047\n52142 54051\n51576 87796\n64925 72181\n71647 88156\n49668 60284\n22222 42781\n21453 37803\n31367 96403\n891 76106\n26958 59343\n27793 91014\n62542 89946\n14628 83254\n13015 87255\n42718 99664\n47108 95697\n20349 95296\n18054 30094\n72002 75282\n17244 84024\n52417 79742\n54930 96373\n43389 54212\n39119 91405\n86414 96599\n23323 52246\n44390 97864\n43708 73600\n441 57045\n1692 70290\n3358 76423\n40006 65011\n13981 82875\n2026 92598\n83866 95525\n18748 99559\n60783 82132\n85863 88148\n24789 81004\n42765 97296\n11938 99067\n18060 89112\n45190 56097\n2212 55762\n71966 76232\n32828 69611\n70340 87513\n60363 71518\n30008 81731\n19324 60123\n20878 65056\n28189 43759\n12318 35346\n15245 71767\n7620 75681\n15200 21334\n82165 90804\n55857 86425\n34325 46497\n1206 96461\n14357 92525\n27104 89395\n16891 97869\n33392 98170\n1404 88039\n43333 99894\n40318 95331\n9748 28758\n3028 38795\n55462 76790\n18348 38216\n34011 69549\n52903 98464\n38764 69425\n27356 92802\n10357 10484\n47432 90606\n16019 62579\n54453 69703\n85361 86435\n6898 76586\n7776 53658\n12763 83194\n2827 77283\n29229 72214\n13977 36351\n16606 42251\n21164 83640\n68305 83711\n10220 94006\n22254 33256\n34189 79367\n16576 35941\n52756 67543\n71938 98491\n37337 62736\n60186 65237\n79296 79908\n42910 63505\n18349 33314\n49212 60507\n31520 85583\n24829 86163\n17428 24172\n25925 89156\n12047 12133\n4405 9035\n58457 83910\n25245 53085\n39887 46001\n13085 13869\n2601 16081\n19395 32668\n62573 64341\n3700 52127\n19731 89778\n38736 97333\n12769 87717\n16949 40642\n51963 63336\n31244 60955\n11783 55374\n22478 64766\n19636 42141\n39712 68738\n44196 93248\n15069 32735\n9807 28369\n20787 35531\n46515 57185\n8807 81442\n12956 56875\n10624 64934\n1230 16366\n14410 20955\n28030 78886\n52377 73003\n65133 94925\n39273 62267\n41516 68580\n23569 56163\n3948 86548\n11120 70687\n5550 98662\n57630 95450\n26180 43791\n66084 67378\n9622 38945\n22712 70952\n46394 80167\n26808 41344\n63567 79680\n34600 42731\n40823 60243\n12938 93282\n64074 76906\n14058 78709\n9008 44183\n26795 69121\n10183 22460\n10865 85797\n32886 81665\n4004 54077\n10247 22677\n11872 56046\n28263 77973\n65464 69817\n8427 82744\n73420 73636\n58724 97003\n44009 49932\n32040 58785\n28919 32819\n39073 83376\n35161 95332\n57945 87581\n51119 96897\n22687 63317\n26296 82458\n67983 88814\n11245 47306\n90976 94877\n37780 89582\n48336 86884\n60316 67180\n70108 97714\n46623 73704\n49152 50943\n15253 66460\n9059 14250\n15488 91521\n11015 86373\n43367 82398\n40699 65030\n38001 81758\n48016 60632\n60567 83380\n1471 99961\n27109 38000\n51640 59331\n18736 72721\n48057 70768\n11090 61143\n34218 45616\n20799 31476\n24415 36613\n12458 60924\n67705 77783\n1234 20937\n15680 24877\n2834 88949\n55428 67267\n61244 96150\n35782 45994\n61480 89082\n50061 54760\n37062 94407\n9896 30007\n22086 64017\n13668 45915\n64131 74214\n59092 98438\n1237 95231\n16546 74847\n5030 93642\n9497 43886\n24674 71439\n22903 25833\n49250 89829\n79966 93087\n30623 91578\n11549 34132\n75554 79651\n16051 88484\n64445 78339\n20553 82371\n81633 95455\n18688 85033\n64785 99995\n900 89644\n26348 89321\n37373 99652\n66315 97527\n16728 75069\n957 51770\n34772 65727\n63190 69296\n22991 35574\n28248 69236\n9359 15056\n19216 55998\n32488 71283\n34233 49045\n64620 80590\n55885 97190\n89908 97244\n5481 99485\n58056 69497\n50699 88404\n50685 82264\n62015 98344\n28273 52876\n33192 88701\n31723 83706\n3421 7080\n302 17106\n32690 75551\n189 14045\n36077 46614\n60655 87358\n16500 53928\n6304 50663\n12431 71649\n61410 80036\n2906 41633\n24649 82809\n11698 85870\n18447 81762\n90719 90903\n63486 80253\n49315 63529\n36436 36916\n53018 67569\n11570 14707\n23463 54836\n28182 51244\n45762 54437\n15401 19928\n77994 80103\n20210 97135\n22871 51838\n43450 59615\n49278 96366\n21560 71756\n15922 82542\n13953 56837\n38942 69070\n29565 96050\n42515 45831\n45575 91680\n58083 62460\n45646 75494\n35450 75835\n15077 27935\n33515 53597\n44849 77157\n25567 26861\n81508 97618\n23229 79702\n34098 44634\n7535 83854\n22819 76108\n20382 86914\n65691 79111\n13054 76494\n43060 91406\n42633 69085\n190 90979\n47194 86769\n64763 89144\n71427 87377\n18169 68911\n4062 97496\n25973 28136\n75355 89862\n44970 50650\n49449 89337\n83096 83478\n13014 34363\n6462 57603\n31091 37715\n75834 77375\n46859 59200\n75725 76523\n4739 70706\n56255 90102\n55021 89697\n25901 70973\n7994 69317\n54165 94715\n57400 77438\n20546 39744\n26290 51626\n76447 91434\n32888 79054\n50113 71294\n27042 68021\n18459 38147\n34842 82193\n53162 63842\n13501 32053\n64951 87623\n43977 99605\n19663 58957\n4595 29376\n12400 98582\n57 92063\n19039 57535\n64102 77789\n634 53773\n5930 51927\n6513 97722\n15798 46212\n62302 75491\n6555 50248\n41794 60709\n20090 84957\n49900 50463\n23331 24314\n41591 92221\n525 31848\n56570 87262\n44573 52426\n36314 66347\n51183 65825\n43405 80130\n70390 81079\n58082 76704\n22672 69326\n55782 73997\n30000 96865\n58822 96941\n5072 63078\n2173 63630\n20064 63212\n6822 96145\n38784 90661\n22256 54389\n6002 60811\n44025 46677\n11980 58408\n86654 87838\n56079 80805\n646 2274\n23435 73448\n43193 50471\n37596 66847\n57334 88189\n14410 53481\n13461 94046\n60651 61370\n15498 57622\n19059 34088\n32381 86734\n56538 98748\n1873 65497\n9032 16616\n987 38867\n32953 38321\n26291 89381\n35985 73856\n69506 87666\n22242 44764\n43716 46999\n49967 78628\n17585 29004\n3696 75712\n15230 59474\n51169 98007\n52930 68486\n19353 58754\n48206 62601\n59588 89002\n20351 61272\n5087 41857\n10150 60572\n12842 74427\n22086 38727\n30927 35176\n30703 71419\n1289 22347\n3052 5201\n6754 48212\n20689 54135\n9482 53728\n67097 75108\n5947 87298\n20183 58014\n57192 69104\n30750 47147\n17853 69478\n55394 58908\n28082 47450\n71301 98866\n48400 94898\n19009 30737\n17815 78456\n23574 99636\n84067 94643\n6517 79556\n66713 88297\n75577 89991\n30396 36940\n29480 93335\n34819 36210\n52566 88130\n3213 70171\n13049 46459\n61254 85404\n3099 4620\n44241 58181\n98401 98459\n13170 57599\n35026 60750\n35231 97447\n38204 76979\n41072 50708\n22540 43293\n9642 19226\n2032 24486\n11496 92935\n8222 23802\n10695 66987\n22056 89603\n3667 98220\n9101 46178\n44599 61422\n26180 53185\n280 66414\n10074 57665\n24059 43985\n19785 50943\n65199 90307\n30506 60083\n36196 37581\n73200 98400\n20953 49857\n22178 33224\n3392 45593\n47231 72057\n52406 86756\n48170 61373\n3051 4180\n8068 33823\n63595 73701\n7980 8315\n58663 99354\n81476 93066\n21929 88765\n65544 87951\n2757 20503\n17056 78113\n794 70416\n43881 50671\n2795 78520\n31210 84658\n88610 94037\n49135 95507\n1027 11520\n31632 59892\n48737 52905\n69350 77464\n51218 59465\n66923 71710\n11549 52121\n88385 99148\n39085 64152\n23408 80812\n74181 93757\n23857 84705\n89964 96888\n13780 74199\n33869 71306\n4022 61590\n12173 91364\n62684 86580\n17740 42704\n21646 41405\n2832 68060\n10112 34089\n11448 92979\n71652 88447\n53081 96207\n80330 88319\n53856 57314\n2250 75016\n4877 9158\n49199 94000\n33176 55893\n24703 44216\n55049 64167\n4874 51126\n20792 53916\n56976 90655\n51738 84048\n18032 80571\n26150 40826\n14135 59997\n11867 98238\n31901 39739\n30248 40318\n11999 94765\n56833 76046\n35131 39486\n35577 53190\n51993 66134\n44164 97520\n59108 72625\n22325 81242\n54558 88538\n70689 86009\n48058 63536\n10295 87773\n15066 59151\n59402 74363\n75183 88210\n3880 94455\n1788 78445\n6053 22893\n16375 64999\n14663 45554\n54085 96473\n15834 30615\n1883 45944\n12296 61670\n7032 71178\n60673 75917\n18204 68740\n82300 94147\n38986 50582\n76651 99393\n62901 87232\n1451 54811\n67247 88809\n93929 98051\n39280 83605\n27514 72658\n26981 38087\n40221 42006\n43200 98483\n59872 91068\n1919 63050\n27047 86210\n3901 77782\n78115 78146\n45130 98279\n24943 62352\n47595 63622\n15576 30912\n1972 21803\n40181 63554\n39710 45356\n36534 59234\n82433 84332\n48516 57005\n66946 99454\n60859 93754\n53056 85149\n1909 72559\n38390 78157\n21601 69769\n28477 74919\n48061 94269\n70949 91180\n14032 30719\n11335 66005\n12050 40351\n34401 93559\n49093 75322\n24999 86372\n60356 96580\n52050 61979\n40823 79740\n16155 19035\n19648 43575\n20391 75646\n14871 71717\n61859 77969\n42348 83344\n14673 22168\n47464 66209\n20317 64974\n20008 79386\n37136 55866\n8545 40176\n47751 96073\n12516 52483\n30731 92498\n54575 76311\n69247 73837\n60356 94817\n67903 92511\n23046 41434\n41362 47827\n55795 82831\n4704 42972\n21465 57978\n16275 73694\n29916 86773\n43341 92976\n70558 92444\n14420 76911\n61499 80713\n40334 80254\n31531 78160\n45725 77983\n13223 18469\n8798 65723\n33872 40506\n5643 25969\n13943 81537\n6437 71419\n28706 33024\n27942 98221\n25390 64517\n30378 45062\n84725 94231\n51451 78397\n7365 70427\n79454 99302\n36110 87503\n81570 98459\n45188 56655\n92717 93082\n69200 84320\n20062 76708\n6122 92422\n39675 41244\n13884 92520\n57892 62492\n22907 88493\n1575 85016\n4923 68599\n59562 84379\n79535 94016\n39588 97191\n54849 78462\n29808 40082\n7918 69565\n62952 79277\n41694 82235\n23503 98291\n2756 99877\n47454 49171\n39615 47275\n61264 95401\n71438 89512\n7411 37035\n32745 70240\n23766 33963\n22800 86177\n2269 13670\n49955 85696\n8597 12796\n9088 44057\n21403 56288\n29616 42842\n93287 94246\n52455 72842\n42447 78282\n33588 80913\n26016 73177\n22667 79970\n6168 75668\n68971 99781\n8106 81708\n54275 96864\n83131 93679\n44788 59596\n24757 35559\n81067 95447\n89847 93469\n26983 56337\n31837 56172\n23749 85461\n16025 58833\n4394 49698\n40259 52646\n45157 52157\n6801 63523\n47628 86597\n21897 27091\n39968 52196\n5800 70666\n27682 36804\n62423 76511\n36719 78513\n52496 58976\n37431 81125\n63896 74635\n1338 89666\n66334 74966\n36986 62684\n10651 69164\n71041 84077\n68503 69066\n51472 87131\n16019 32842\n10327 84166\n34333 59799\n30529 67563\n66898 83341\n31423 68494\n2379 97221\n36343 56482\n25379 61291\n7503 24917\n13236 71058\n70189 89982\n30205 48573\n49897 64211\n7117 30881\n55067 62735\n28877 75632\n7863 46011\n22608 87723\n69639 93650\n46919 68960\n31464 76303\n49228 90619\n94820 96713\n12693 53210\n5092 98765\n44224 58933\n9992 29958\n10834 72873\n56087 95537\n14586 18436\n64190 64905\n30858 63776\n45719 73903\n25038 36979\n50512 76267\n12095 66909\n75272 96050\n65344 81687\n14499 21741\n36729 68281\n82550 91268\n53755 60295\n3294 13278\n13433 31220\n355 96520\n22962 48423\n53623 82170\n62129 63091\n67394 73703\n89962 99182\n12333 75996\n19045 71912\n20657 82428\n9281 25359\n22152 45025\n62665 70576\n37578 66325\n68383 82936\n46172 79784\n10229 81805\n9756 84622\n61477 75105\n23967 80992\n18808 43751\n58178 97485\n17197 66829\n4594 28704\n58840 71512\n40380 86933\n77785 92179\n10206 38199\n59415 81462\n36211 70479\n24585 65145\n18921 89149\n902 46446\n78962 84327\n16475 56926\n14193 27211\n85857 96643\n36104 94179\n18193 21455\n12102 98432\n75285 99300\n13026 44765\n15155 49320\n66730 77696\n19818 34829\n23640 51839\n15172 33629\n3161 22831\n31447 96146\n29510 83599\n76847 88676\n3607 62897\n12141 25120\n26877 60134\n24660 57486\n73041 98616\n7334 69604\n25601 90246\n3354 96111\n50275 89493\n4793 89036\n33285 61348\n35031 87764\n59902 83651\n57898 63914\n9674 12209\n40028 76353\n59750 70021\n40311 53461\n69497 82950\n38 17799\n66980 80643\n53580 87415\n54129 68816\n26164 27546\n67920 74402\n49772 75985\n60832 76696\n12085 89919\n80437 83977\n23529 25915\n42458 78399\n11942 42050\n2268 76074\n32734 77551\n18598 35648\n10647 19054\n16379 38974\n15588 20487\n8421 19952\n40550 98784\n23243 40297\n52646 75203\n41396 70478\n4031 87157\n28890 99475\n25990 98385\n42537 64167\n72722 74878\n65789 74900\n45445 79357\n1763 34542\n18512 49235\n37858 98022\n17899 95913\n85260 95137\n26843 87867\n29469 93501\n61979 78520\n60996 88107\n27477 65498\n166 27838\n50310 80272\n33980 68710\n43426 56892\n73823 81494\n22850 67862\n47167 61189\n8927 93420\n9507 95083\n21600 72004\n52456 66348\n27400 87945\n15913 49528\n17876 56750\n41054 48717\n72554 87090\n18719 20807\n26210 28896\n61824 75171\n28568 47417\n1088 12180\n30584 30690\n19493 30111\n93049 94761\n19684 86720\n18570 22758\n32553 64624\n46764 50640\n50064 57607\n13634 74379\n75712 97840\n17602 69272\n54485 74489\n24331 43187\n4788 9534\n65663 70790\n14292 93287\n71411 81802\n64800 89500\n17273 95795\n37900 42809\n82367 91471\n47906 55640\n26811 56684\n49354 64301\n4109 68545\n24613 48371\n37205 57076\n14553 67846\n53915 90357\n55487 76070\n38426 68666\n25851 51219\n60429 82744\n37852 60198\n79465 80506\n34094 96287\n9717 87776\n11481 38259\n13113 21560\n4378 37765\n45019 63843\n17432 65986\n85766 95043\n15605 77045\n27117 52706\n55493 69825\n7063 74291\n34427 55262\n35262 46529\n33861 68270\n42279 93809\n12730 76182\n31579 45610\n66986 67205\n24034 87712\n25577 29941\n33049 77459\n20870 68889\n18161 34729\n34830 55842\n17900 26841\n2429 59876\n51491 63576\n40227 87172\n64886 80082\n21082 97888\n591 21760\n22855 49481\n22403 63855\n44352 97248\n64038 76670\n25617 29239\n81369 85299\n30083 70428\n50750 78688\n11775 37547\n25791 42924\n54293 57361\n43488 71705\n8514 80478\n17740 58769\n6941 66007\n25941 43057\n7533 58617\n54351 95589\n46544 58306\n87951 89606\n46564 50936\n77431 85841\n71723 91629\n16878 97381\n4581 48769\n40137 85232\n6273 86628\n65500 91587\n44845 71740\n52268 75587\n25867 39973\n61820 90918\n49505 55452\n7528 34732\n33102 47306\n15621 69510\n13761 89208\n6089 98644\n40723 49450\n31303 81109\n74056 85846\n17060 29609\n38415 78612\n53380 90760\n38773 78584\n46896 71444\n50385 63586\n27057 42084\n4963 44809\n35886 76337\n21679 72217\n60204 90479\n20295 41998\n13754 36050\n55207 61431\n3727 53182\n75243 93580\n65218 91637\n78828 96083\n11814 55766\n11483 16696\n67707 88931\n45258 88366\n74965 83608\n43333 85697\n57765 85812\n31612 64266\n60481 73012\n6286 31022\n17883 62543\n8794 96606\n45612 52663\n41165 67330\n6891 28276\n48471 70161\n10485 45654\n31697 47319\n28011 30447\n18058 64603\n8030 40353\n39265 87720\n10271 70854\n76515 84836\n33946 99054\n52824 59540\n39558 48533\n18929 48742\n22469 61798\n63408 88485\n33083 60543\n60477 87125\n42300 67915\n12068 72764\n30349 95924\n26372 95461\n32446 44016\n12197 36240\n83899 87865\n83689 86014\n27418 77320\n3219 77594\n81225 89550\n4859 82473\n43703 96372\n78527 79093\n13581 40746\n63036 98985\n52767 88666\n40196 94739\n88590 95135\n1137 30309\n8068 80212\n39171 79471\n20444 90500\n70346 90560\n15976 34284\n55873 57620\n12641 19326\n29241 43200\n89331 98803\n26300 63504\n88146 93093\n89657 99744\n25379 70170\n2869 35292\n69181 78629\n8742 60314\n9529 77410\n42714 75896\n24834 99066\n65239 65517\n7273 64170\n54157 76990\n16273 17328\n704 46807\n64117 70321\n9355 37961\n15072 74752\n13344 35758\n35649 58379\n27014 86711\n13538 42321\n11499 62441\n38025 99786\n47745 85779\n7012 48501\n24575 56871\n25134 34647\n4299 12964\n28523 47571\n55034 65670\n34199 65440\n6398 8889\n19427 29344\n90098 94961\n70916 85286\n905 22820\n25398 83516\n60841 80922\n47791 95345\n28884 90131\n42943 49230\n4770 82599\n12775 99884\n14168 42574\n24677 69164\n50300 99462\n37933 78351\n2858 81033\n7475 18796\n31317 70794\n41649 48836\n11088 97723\n19719 48011\n18812 57774\n19591 34602\n45322 71944\n60024 66171\n30846 64503\n81867 90724\n35938 81082\n58669 85795\n66872 88426\n2168 33662\n11092 16873\n25460 88002\n1022 5686\n57302 63650\n66078 91010\n70771 96925\n62837 63283\n54586 85567\n7115 19074\n42624 88251\n32921 42047\n29867 32116\n21179 63398\n85408 94932\n4315 19894\n10420 63555\n3384 9528\n14563 58457\n29175 56334\n20555 45153\n12253 27525\n66142 82189\n5169 45983\n3189 75515\n6383 76252\n22844 37019\n42819 71410\n12843 21723\n74205 81795\n63973 83193\n8817 37049\n18438 67496\n26011 69127\n38042 58863\n32516 71292\n12414 88713\n34200 61964\n32208 82311\n6611 44355\n4612 28609\n19088 90369\n29313 31898\n89913 95498\n12218 28926\n44084 61659\n44870 90283\n18365 57641\n20184 58254\n9310 51223\n55828 83481\n16449 92947\n1855 96002\n3609 89281\n27642 97828\n1252 75032\n57637 75296\n14565 39343\n37146 59269\n35149 75643\n60251 87933\n58617 59864\n17504 77444\n14904 58106\n28598 45686\n2999 60658\n8168 51021\n38399 56873\n46250 61049\n56555 93859\n10291 16231\n22498 36484\n29911 53849\n23812 90878\n28628 34303\n20359 77787\n26037 40851\n21277 76589\n56213 97934\n43468 48938\n22930 43217\n35318 52357\n34121 94345\n82443 89210\n65301 86774\n49251 91282\n10271 85035\n27515 81182\n45955 71947\n35568 71680\n31556 39932\n11393 48070\n49805 50146\n2426 21773\n37739 45440\n40363 82789\n2474 97490\n1405 64772\n652 18616\n35987 60922\n52755 99225\n1743 73568\n27713 31671\n1986 23585\n7901 84840\n38746 50552\n16312 43826\n32964 75125\n41116 57697\n6461 13081\n5838 74071\n9663 14880\n61841 73275\n30196 41047\n31133 36759\n52830 92424\n12760 76402\n28595 41139\n44183 61706\n59134 87858\n80687 89812\n7585 40224\n683 83390\n15477 80538\n70545 92805\n8470 96967\n29286 68023\n52503 86133\n40236 81778\n46262 57548\n58022 98906\n58501 63721\n14968 38944\n27499 67635\n97517 99156\n62387 83614\n7268 23543\n28118 49762\n66199 90358\n1378 50156\n22666 69499\n28914 72682\n48390 96606\n41080 88077\n46724 84268\n25051 37525\n39206 40507\n33671 60957\n54913 56476\n51662 58648\n35633 43071\n19018 42595\n29359 36332\n28110 89718\n18680 23810\n2949 41790\n74675 87130\n43174 75309\n29961 78029\n81814 86911\n2374 13343\n1758 25593\n81213 81607\n49189 81750\n14599 34831\n26860 93249\n28715 33168\n8984 79689\n49077 61337\n10018 33036\n24326 49211\n65501 72354\n30252 40290\n29428 50142\n29850 61508\n9 41725\n6962 91025\n18436 50431\n29292 72423\n38718 64566\n72756 97014\n3875 25759\n8934 39607\n20100 48213\n45890 97214\n3072 63260\n38115 99201\n62335 76173\n31765 64271\n4900 60884\n30222 81132\n16372 43005\n24669 53512\n14857 51740\n3825 22190\n3617 95222\n36441 63190\n7227 56471\n15968 50228\n1212 32513\n84813 94188\n5080 28681\n14590 51851\n11426 37684\n46424 68172\n20165 71271\n4997 56908\n10768 41881\n18756 77098\n9393 15604\n54520 64902\n12232 16794\n11726 82052\n56889 79969\n58819 72620\n9136 30150\n7989 64800\n56207 68420\n19110 88230\n2451 57372\n45248 59575\n78031 99099\n64887 89791\n35278 95528\n15247 44675\n47587 67891\n41498 85470\n32656 73550\n49403 65483\n60049 73264\n16991 18948\n13467 34336\n29203 33628\n30009 40294\n12244 35863\n54341 98663\n1349 22864\n53053 58173\n53777 63075\n2860 55422\n4403 57770\n19762 48926\n61107 93357\n12520 52376\n25755 89979\n33947 41370\n24223 97342\n35335 98083\n44109 65616\n30487 39923\n59970 74607\n26244 99827\n6983 24923\n44112 86929\n6071 38721\n71454 72181\n24884 83476\n65517 82857\n27417 76308\n30677 42456\n16942 74154\n50000 68842\n69190 93940\n35932 36969\n15302 48558\n70071 71730\n25535 36556\n50951 56982\n70478 75212\n14757 70147\n16296 69675\n19369 32340\n29786 57069\n64165 75809\n38190 89183\n8205 70614\n22249 67252\n31360 90957\n74307 99232\n17327 33935\n4648 52648\n23533 80038\n68356 99621\n32872 66962\n1388 69584\n73147 96715\n57029 93382\n47966 95977\n38966 81173\n10411 53847\n38686 86473\n16399 62551\n6219 24985\n3697 45426\n71450 90249\n34446 71837\n7188 36243\n14807 37178\n43874 52254\n13369 45290\n43219 52649\n30605 31015\n1435 47753\n74876 79711\n25396 80690\n25582 64314\n75801 89172\n54182 91123\n1781 69608\n14711 74939\n77064 80434\n20477 46509\n68288 83785\n40660 56221\n8576 99828\n22390 74070\n41961 83749\n202 35719\n1347 41323\n79995 84114\n12366 46071\n35014 57705\n32628 40264\n14209 40748\n64651 97614\n21426 96316\n4416 88739\n63969 99049\n55799 62838\n69318 76502\n65534 82034\n57648 91055\n12617 33571\n43881 67619\n1927 37602\n51760 96597\n28043 94018\n78404 82724\n32020 64293\n22077 62420\n24488 52889\n9263 22257\n15878 45638\n23690 28760\n16490 49609\n21167 67821\n24604 87354\n20201 87576\n157 13324\n54399 91506\n88655 89150\n17728 38175\n35976 49776\n37874 50112\n37361 64713\n82211 98896\n28752 64185\n6602 43920\n3024 60714\n44012 95478\n37526 86289\n21287 75578\n122 26634\n14149 49888\n26708 28518\n70786 90266\n12836 17879\n41109 82402\n48654 85834\n227 59410\n23445 86631\n53892 59946\n68541 94444\n33707 56183\n26281 83576\n18008 55448\n23885 56594\n12711 78342\n17591 34895\n77676 96382\n43455 69608\n41854 57720\n6149 60566\n91041 94630\n48408 90162\n63649 72509\n1603 34232\n44554 76568\n66906 85875\n63307 83955\n35259 73396\n20804 89759\n15813 22050\n23962 71788\n13450 66174\n88109 96352\n72588 80395\n15426 89262\n54001 78896\n45912 92169\n31219 36000\n68190 75596\n37690 59509\n34556 83310\n55992 58075\n1738 23113\n21327 23147\n56047 97632\n22803 53987\n20211 39053\n54877 93347\n10545 62780\n32890 58324\n523 51285\n67812 77042\n51748 53368\n234 38600\n8890 73825\n8394 16819\n9915 61139\n24767 88319\n21362 28700\n70352 86613\n27386 39035\n22110 92289\n30294 35882\n44965 75258\n56491 69947\n72985 91366\n64901 94235\n10400 30685\n50908 82400\n13458 34712\n4376 22055\n51290 89340\n94492 97727\n3730 34289\n25642 99400\n28457 61025\n57191 86429\n64509 88792\n14504 56932\n37473 59569\n9196 56800\n22073 54747\n2036 76304\n46380 65605\n70158 78094\n33214 80533\n31287 66450\n66998 90188\n28980 88420\n60347 82832\n15093 82452\n59303 67548\n14030 96585\n26929 66730\n10740 80424\n46794 64382\n8356 58792\n207 59096\n5097 72991\n3160 11569\n32105 90052\n72361 73861\n12292 16727\n23136 36847\n52420 73113\n51999 59717\n5540 60137\n17680 94702\n19730 79029\n4548 69869\n9232 70063\n12248 98401\n29410 64394\n42137 85722\n11620 42079\n8203 60299\n23114 95228\n75669 88466\n63258 93741\n7865 24008\n40502 95354\n47169 68417\n19731 87602\n44493 79278\n37232 56016\n18319 91541\n77785 85752\n80206 85330\n76637 82401\n71242 99319\n62850 84170\n3944 32318\n6987 72452\n3714 97971\n5752 8265\n22572 71494\n15720 31126\n41449 89101\n55434 56262\n48254 65529\n49550 83088\n59156 87889\n38441 45663\n54083 99875\n71253 93503\n2813 34158\n40655 76788\n32625 81359\n32495 74688\n1586 17204\n50352 85274\n6663 94716\n46239 81816\n14074 95649\n8156 77919\n7480 79646\n6329 53958\n71739 85167\n82229 89057\n63411 72604\n72475 96119\n26417 77644\n23280 90883\n69199 92608\n21872 57602\n57691 61623\n36096 63506\n38528 47250\n39868 48385\n54003 72482\n14976 91138\n17947 94891\n45618 46985\n22813 46410\n20381 50131\n47861 54643\n43937 77064\n91739 94079\n20984 64500\n27683 64165\n3122 87259\n27075 85179\n32695 66874\n51781 97837\n62607 76239\n30704 77527\n42443 89665\n12259 60857\n47437 65133\n28853 56854\n79512 82924\n17551 80255\n11217 22912\n383 87025\n29286 62704\n31186 43520\n3367 36859\n70444 81203\n16326 81541\n36024 58393\n26443 26690\n40624 99865\n32913 33246\n33172 88441\n30617 36549\n33056 92104\n61695 96422\n33056 69245\n60719 87844\n77419 91005\n28391 98557\n76537 80984\n4814 5388\n22121 92089\n91997 95772\n49797 83049\n1680 43601\n8940 36741\n24118 49591\n35310 36040\n22298 47667\n968 87978\n76200 95175\n11150 77102\n42447 80060\n62849 95908\n6844 65979\n59573 92120\n21420 65313\n87246 89293\n45114 51306\n65577 93230\n86293 98421\n36176 77373\n4473 31357\n13620 91462\n27869 89093\n38497 98690\n23141 82854\n38477 88450\n78751 85311\n20387 47238\n59683 70422\n3580 68624\n24070 97462\n11858 96927\n835 57894\n56256 89534\n19191 22597\n15941 43263\n88013 88331\n13880 20259\n70531 81385\n72107 99913\n42799 52847\n26537 79570\n43413 74826\n3350 77840\n29679 50225\n22251 60791\n21057 26931\n44536 92240\n32431 83559\n19350 22188\n2647 39841\n33696 94570\n46515 99205\n22869 39337\n34232 55508\n30591 72250\n16538 44337\n27282 78534\n11752 29931\n10267 98584\n62580 94691\n30089 50544\n2616 36232\n90920 94489\n23977 26026\n967 91013\n21549 35859\n25393 34865\n63535 82667\n4563 29217\n2374 57086\n26694 52167\n5036 43163\n53554 85807\n40316 93893\n32132 48763\n18032 96302\n50526 62942\n5863 80462\n91056 93008\n64785 95767\n1534 82790\n13566 59893\n90270 98008\n35351 59968\n39907 41448\n41388 47339\n13442 64829\n3721 88289\n42653 76502\n13665 81426\n71998 77513\n84549 90266\n39974 75581\n70687 95842\n1057 60979\n48153 93172\n59792 70048\n49075 51620\n6163 79284\n14125 77592\n23775 36404\n5690 9254\n33588 90628\n66281 66317\n60269 79454\n13883 40518\n43815 73470\n34074 71264\n4437 81426\n2805 48384\n19031 68903\n1806 95420\n20424 42425\n24463 26869\n36667 65577\n20187 67037\n57039 97046\n21860 81426\n58718 67957\n40858 89781\n17397 45747\n65658 85363\n6242 85799\n61063 76979\n12545 69611\n17816 64675\n38703 62767\n8053 63535\n25723 53091\n7664 51297\n16175 69410\n30721 49383\n15514 22478\n41384 85693\n55142 80993\n322 17521\n17881 56460\n17061 33482\n26139 66165\n30409 56625\n30465 38528\n8708 37345\n34537 43540\n49995 84839\n12954 28218\n51782 76527\n3699 87482\n58522 67583\n34159 78953\n47659 67222\n41118 60477\n19416 31919\n18322 61533\n26468 78630\n4039 36174\n35063 50426\n11366 27051\n13307 89309\n66267 97943\n21180 82093\n25485 51794\n11750 24294\n29940 46752\n18824 90860\n73773 80813\n73738 95816\n92403 94377\n48869 99822\n8292 83674\n39741 46677\n21942 94691\n54874 73429\n10479 30633\n16997 54054\n50187 90003\n18268 61606\n49682 72220\n33371 64360\n20828 46526\n29243 75333\n81243 82886\n19528 20632\n17168 71798\n37738 55582\n9626 50217\n1926 67671\n81539 92878\n71044 89332\n2133 43645\n43652 67951\n4715 47174\n6797 96409\n20299 22091\n19126 49612\n30270 48484\n30425 94493\n30321 47729\n7720 79574\n8900 63819\n59707 78311\n67907 69697\n27703 58336\n34230 81801\n1588 2083\n5623 49878\n15201 85921\n67556 92207\n23079 41221\n15728 31414\n9112 96346\n28044 71682\n20798 20897\n36756 62036\n56450 76651\n172 24527\n3885 73880\n34021 94733\n37303 62052\n49950 72283\n46778 56108\n33638 68413\n42556 81963\n21639 86469\n60617 98695\n726 96726\n3502 69632\n63686 65719\n5669 85172\n15688 97790\n65695 67480\n37875 42862\n40019 70135\n16513 60478\n68865 76238\n38634 76690\n11581 32313\n18688 61447\n54356 78286\n59045 85766\n52965 68143\n8386 26374\n42020 87089\n57180 93499\n14497 76663\n8668 53399\n4561 41803\n33640 35599\n16773 33606\n60003 61714\n77689 87975\n14249 61922\n29606 81688\n6811 56830\n17656 74854\n56494 82678\n14418 74578\n20187 65640\n21797 26703\n14532 83724\n15555 81252\n632 5759\n41476 53605\n30200 49681\n34085 93703\n5733 16151\n69745 85242\n7706 40867\n54037 62205\n2612 62472\n5592 45910\n23938 24437\n82847 86360\n71233 75967\n33037 56274\n61143 75446\n50397 87792\n15 22024\n16626 62098\n86681 88760\n37749 90982\n41801 66964\n40507 78473\n86710 93608\n15780 62599\n70171 71890\n61556 66226\n22586 55084\n85497 89727\n56027 97024\n41447 87554\n15804 42523\n9698 97497\n58947 90440\n38429 93426\n82967 97461\n8277 76964\n40547 79638\n31817 71684\n45007 95377\n5658 6541\n24381 98634\n30068 53884\n4595 25328\n66174 85363\n32568 56768\n58434 71338\n64402 93999\n8259 25145\n56759 56957\n10280 80837\n6182 69270\n21475 28392\n24767 42656\n36963 84236\n62941 78575\n30173 94664\n39122 76462\n7532 37454\n57401 75028\n44116 65446\n60654 99907\n49535 77576\n46689 56872\n46076 60584\n19931 96393\n3996 46693\n26176 55374\n51435 59215\n43719 46826\n60644 82843\n4969 84577\n45692 87177\n78691 91255\n27836 32578\n55810 76963\n47 59168\n20216 93858\n7564 40445\n4052 7445\n24764 87660\n15642 68814\n48184 83460\n1543 94208\n34197 67131\n79803 94381\n2032 80252\n53385 94267\n52886 89821\n20662 78012\n56235 61180\n171 17669\n35929 41797\n41878 52899\n24774 26978\n2434 22177\n9477 82415\n53016 97843\n1286 42308\n51944 68900\n5649 99226\n51675 70062\n62856 88509\n50026 83900\n9681 31182\n29968 59561\n6772 93940\n43518 74940\n11551 22086\n25014 97989\n4629 68566\n28577 58466\n20374 23057\n26458 36905\n48040 71590\n48525 77435\n10138 11664\n26870 69989\n18404 60618\n32054 44078\n72017 79900\n29112 60948\n11132 72383\n19756 90026\n8891 29728\n68308 83213\n48816 98568\n61591 90742\n41900 47196\n11777 90649\n28411 48150\n12426 32647\n35824 66586\n21519 68112\n20980 37061\n54803 96882\n51000 85929\n61029 75620\n23300 71862\n19334 61976\n3887 70532\n88247 91777\n50091 64853\n29446 55440\n6216 95567\n3014 45262\n36163 65574\n59687 76281\n6927 82358\n11615 74830\n79306 88659\n55069 63983\n48158 89615\n62399 91815\n56329 98511\n49549 83446\n51257 74984\n3794 27493\n3693 36135\n20821 39512\n50203 91154\n1017 15368\n1410 18855\n2760 56365\n67282 70992\n52261 72080\n52132 71981\n86363 96245\n3622 94648\n33299 79937\n46480 92978\n54314 93808\n61546 69844\n75882 89801\n2055 77774\n12650 82591\n41238 98339\n16934 76823\n19 30280\n1273 18723\n19437 73121\n4911 5835\n53283 97228\n10993 60084\n24816 72751\n16431 49663\n22678 23007\n34799 84263\n68007 76124\n58216 99022\n57360 82266\n67023 73322\n42086 99844\n17853 41150\n37819 80028\n46677 79218\n52703 85937\n38213 45254\n40823 50306\n58549 77619\n7788 27086\n4457 43415\n23177 43815\n2870 11756\n3723 40421\n50932 67314\n45533 99534\n13628 22046\n46577 93067\n2940 61927\n6302 91769\n2479 12969\n12097 59360\n34752 66440\n46028 59241\n28494 76334\n7238 70024\n17159 96154\n9379 56870\n52641 80129\n8702 90590\n2118 34576\n16832 95289\n63472 73723\n51627 73476\n51702 65302\n20164 49650\n46025 52250\n3898 35435\n67051 95383\n52367 69510\n1693 17010\n18581 54356\n38607 74022\n55920 78427\n57133 90614\n44912 78969\n44473 73919\n65814 68053\n17951 21261\n39450 79488\n44317 80832\n22101 43472\n14748 24482\n10650 91451\n2070 23748\n20811 26461\n35444 77575\n22365 54115\n3094 53376\n33882 34670\n14791 99708\n32768 48614\n84785 93612\n28221 72708\n49200 69149\n1442 5922\n17798 44069\n35511 38074\n67406 71918\n49592 66938\n30479 87851\n27560 31959\n32795 42722\n1918 94533\n13575 21054\n26694 30723\n46898 93477\n9554 69691\n77989 96532\n17025 23090\n9188 46904\n78152 97340\n82077 85964\n25660 74088\n69223 75325\n18591 81344\n8938 60903\n24237 86232\n43777 69529\n39792 93039\n96312 98244\n415 78345\n39146 50760\n21490 54389\n1734 75412\n90642 91822\n47506 80355\n4942 57392\n16586 23157\n8472 50351\n1081 10730\n9010 16977\n1158 22567\n77967 87492\n35177 92358\n35633 97694\n16258 35822\n6303 23406\n48518 89916\n77298 91370\n72994 96178\n67572 87417\n19105 32233\n503 91140\n51109 99648\n27988 86362\n14081 97210\n43498 99042\n33459 55568\n36502 69907\n43130 46948\n10652 89624\n40583 90089\n33523 64584\n33484 33660\n11156 49116\n25808 66742\n34482 36895\n68982 77794\n22999 67049\n72890 84961\n51356 85146\n68816 99164\n28348 65606\n26081 99793\n16927 82155\n64355 79324\n26130 53600\n1558 95806\n5480 29234\n57248 73984\n89112 96790\n49009 98757\n972 3528\n5257 50057\n18056 67555\n274 42254\n12578 54869\n27138 62074\n40210 60048\n34079 39353\n74447 95212\n41312 65892\n21214 49706\n26620 34119\n16461 80120\n57826 97804\n27857 51805\n39550 64284\n73621 75552\n84378 87924\n11499 26339\n20179 40427\n58447 89298\n27363 37597\n7398 64199\n20780 63289\n35415 94413\n66362 67466\n64703 66440\n22652 43703\n65495 81975\n26206 84374\n31994 81234\n20715 22576\n572 53637\n18394 52790\n5149 92445\n12083 71967\n17719 47747\n46438 61076\n26767 78823\n9646 71248\n24340 98535\n43242 45279\n58062 88949\n32915 58961\n17444 54763\n74111 86640\n31448 32469\n5763 67957\n53643 76564\n1601 74800\n68290 89566\n56081 89524\n4775 15910\n8440 10403\n58524 69316\n3017 33564\n38649 39138\n22355 62245\n18739 50176\n81042 91800\n8624 66655\n49718 77385\n24879 60947\n87767 93668\n23087 74433\n37598 78510\n38940 79014\n2459 21600\n35078 40683\n15144 43460\n2588 70726\n20241 53489\n44374 67698\n9078 31584\n12978 43045\n16995 40677\n3415 15830\n18108 90591\n36179 65923\n29420 61010\n57901 96499\n64047 67073\n6997 22781\n9515 25490\n11251 83648\n90445 93156\n42843 69200\n21175 55945\n59195 89323\n54463 98052\n19273 86992\n23805 89349\n24058 67912\n23267 65184\n33869 78326\n2775 64549\n42948 57296\n25816 93797\n24253 77077\n59289 87498\n2060 58856\n8159 64504\n11710 37607\n19493 25660\n51558 90990\n62292 74062\n74246 84183\n52116 66625\n24482 89636\n24242 44687\n6781 44020\n7013 87889\n26485 95078\n23604 26483\n55255 94956\n4780 14766\n49670 49892\n52583 68295\n33875 48805\n30223 73688\n1648 36070\n3382 75824\n12948 86451\n10670 84792\n30918 38312\n37133 71308\n319 65882\n12368 53424\n17059 92625\n41696 87763\n44006 54413\n4858 17014\n23961 82160\n6679 36547\n2682 11245\n68133 80757\n69133 73541\n80860 97856\n399 26929\n74249 93060\n31990 61311\n36501 54631\n60445 61335\n33638 77858\n4972 7289\n19679 73229\n59302 65849\n48274 60708\n49912 66354\n41565 59275\n34291 43271\n17465 80697\n25897 57008\n38899 40804\n24753 85726\n42412 65865\n80871 94627\n34340 90602\n24448 86773\n24903 79841\n2693 27466\n32419 69849\n18211 76853\n33940 100000\n28421 62748\n42140 52907\n77617 92527\n2707 36483\n25279 63700\n24779 95827\n95797 97225\n1641 11437\n38807 82586\n10453 11538\n36153 74294\n31981 96131\n76418 91608\n3106 5390\n7210 21693\n6119 11295\n2412 98339\n4853 60559\n24404 88614\n39351 76299\n54457 65283\n19662 64650\n13612 42476\n7516 18115\n53990 92185\n22788 88179\n5804 48912\n39764 63227\n24270 40479\n98267 99457\n10675 36062\n19889 49760\n14378 81554\n46364 60416\n37568 78824\n1527 7841\n54175 78032\n6400 35132\n4785 54088\n15180 82278\n6701 29992\n15014 74402\n14181 99548\n22097 67344\n34628 75071\n48305 93994\n78560 87041\n19963 37099\n35143 62660\n93096 97524\n4391 34267\n32359 94261\n43588 75493\n64284 93543\n59939 86807\n81596 96963\n6051 32735\n53265 62567\n14968 55019\n53304 53441\n340 26119\n50941 94577\n39640 67880\n25656 74936\n51006 75743\n21768 45261\n35955 52804\n70846 95766\n74337 86569\n42562 83134\n28705 83318\n29987 83261\n42490 46481\n49032 57747\n55581 60429\n5741 71060\n142 71526\n5136 78303\n21082 85159\n50222 76109\n37768 94532\n31449 47695\n32247 87297\n1561 38492\n67224 74582\n64467 80557\n54197 86541\n54969 61816\n7799 42294\n8824 97696\n26933 78612\n18781 64483\n41945 43114\n48559 50439\n47205 80381\n43727 50701\n30228 87885\n1087 98955\n15135 73722\n10987 57701\n19028 52761\n47380 96003\n51076 75187\n66902 91977\n34655 72778\n6873 97541\n57040 60626\n55078 88829\n39248 66048\n17704 81731\n22701 38468\n22289 92186\n17571 26837\n82913 97038\n35862 96994\n6394 84772\n15217 42592\n18125 52771\n3296 10052\n68718 70085\n9945 91161\n73573 88884\n40892 91534\n23425 40424\n36929 84888\n114 80668\n639 54641\n68436 77342\n64557 90639\n20831 88192\n53818 67956\n37451 87755\n72883 73473\n77535 82949\n18540 44396\n76891 86846\n3878 71530\n55409 93774\n12457 64032\n37738 58181\n64445 82017\n18244 66271\n272 98616\n40398 59019\n9645 42248\n22378 90661\n24885 42060\n47455 49282\n27148 44932\n72962 83828\n25258 53196\n29745 30268\n25192 89030\n30799 33578\n7870 85063\n86631 95606\n6586 23940\n65132 67361\n61285 79647\n21637 65597\n23032 81207\n50598 63266\n19096 64771\n4679 13333\n14113 78601\n23132 44036\n30785 71926\n71002 96235\n16538 27263\n52712 80780\n60768 63061\n69631 74764\n86163 99010\n61401 79618\n14664 75278\n37239 69952\n16085 19748\n31614 65541\n41893 97158\n57341 70387\n25909 68040\n2628 36154\n9937 15952\n28824 36968\n35452 63035\n17859 46007\n26554 30615\n5613 20439\n55390 89315\n11222 46875\n11407 96045\n66887 69888\n9075 95335\n32802 90298\n41674 80251\n6506 75655\n32855 69459\n17801 82711\n18073 62520\n78662 89271\n64632 71155\n40809 52475\n64987 99342\n56192 85565\n23503 25252\n24422 65102\n30008 91193\n27489 52445\n61155 94482\n18279 69264\n66253 90678\n16674 81218\n35366 90493\n6755 47543\n9738 33949\n1657 12846\n2074 6839\n6325 74967\n52737 90970\n41688 84251\n7752 57342\n30991 58136\n74453 88166\n20392 71510\n13567 19198\n4435 39009\n55602 61672\n10531 67964\n61240 79410\n10115 50546\n22715 41527\n2419 42867\n55475 82945\n26520 78772\n34369 73452\n7740 67659\n13601 19761\n4450 55423\n18993 38268\n28334 51961\n42429 71993\n27650 53868\n11667 73355\n41219 49208\n5409 93671\n77385 97051\n17768 21427\n17991 59146\n1017 44254\n88754 91163\n862 98640\n15554 59942\n3483 11192\n1594 77695\n7632 95301\n74849 80612\n59624 82128\n3674 85777\n1219 16789\n6302 50956\n50740 72203\n33654 50083\n76863 91210\n11323 94672\n92469 95796\n38560 94082\n8505 77070\n18084 34909\n10413 35349\n12295 79763\n7353 56822\n43450 97147\n14815 52172\n76838 93187\n49826 98980\n65876 88213\n68183 98863\n24123 69780\n10006 37505\n38051 79117\n38462 61389\n43933 54723\n56587 91102\n17865 52989\n22344 33607\n29421 85899\n3763 73252\n56988 61367\n74391 87627\n64399 99476\n55420 81219\n55129 65874\n47349 68364\n5197 87510\n29562 69380\n38601 87909\n3064 48051\n41 75538\n13340 39908\n4122 25558\n10276 39266\n50661 76494\n18164 27276\n13477 37077\n493 10539\n39630 79250\n11361 33501\n7444 72759\n5697 96533\n37851 85604\n15899 34190\n49499 98367\n27673 90578\n2412 70760\n30526 50949\n26699 69425\n81488 81731\n23779 34072\n5626 13061\n40689 65624\n15957 95731\n54303 56023\n409 90407\n18472 53013\n20398 62322\n73310 91666\n445 42062\n4614 22148\n18045 25694\n18014 53704\n75250 79295\n66180 75552\n4466 78792\n70118 95806\n23104 84295\n34701 67133\n63396 84298\n68719 91162\n36161 47639\n32670 76481\n49485 82206\n8125 37610\n38370 72462\n18403 93571\n28745 46059\n4721 75579\n4051 37865\n43656 55278\n8873 31039\n77111 87471\n40449 63218\n64503 74702\n35001 91667\n32871 80813\n11383 44634\n35592 71366\n582 77453\n56122 57091\n6355 37860\n21611 99879\n24906 36220\n65419 93156\n11098 65213\n15597 70758\n10892 77772\n29754 72979\n19110 24661\n40726 81748\n4886 33018\n10980 74457\n34353 38651\n34586 35761\n6088 33005\n642 7408\n12966 91536\n31594 90905\n7293 35319\n27355 48934\n7698 56878\n27960 48753\n36612 45589\n43718 68433\n19638 82361\n61461 76310\n48771 99223\n64859 74460\n6821 40478\n13779 68474\n11396 21386\n2367 33899\n85706 91141\n52751 60267\n6339 89783\n11173 54464\n85100 99016\n46357 74975\n71212 79653\n79247 81580\n2606 94998\n42989 85011\n59486 96089\n9761 59663\n1821 56661\n32946 67782\n298 960\n20870 28013\n33723 49633\n8893 64700\n21981 93459\n56576 93921\n31226 81847\n95165 97714\n48089 55021\n38091 81054\n5939 84861\n62833 79382\n7069 63958\n6156 84868\n44369 66791\n13906 50486\n84076 85182\n26067 96629\n34841 97644\n48819 85983\n4541 72101\n1393 34283\n65622 78854\n37313 95630\n58349 68840\n32841 34572\n17383 58996\n36148 86321\n23254 94346\n13147 15961\n10036 70715\n92307 99427\n36867 52827\n57248 91155\n34325 94967\n40015 74079\n4259 97320\n22899 82826\n21301 22935\n49393 96327\n8980 15276\n11831 49633\n67271 84767\n30309 53458\n29217 71191\n1692 99942\n18695 94241\n3806 38324\n21595 90222\n51287 82722\n14594 41038\n1583 19912\n72468 81761\n25441 62468\n11519 90979\n17176 46089\n68737 84856\n17539 19853\n30612 84575\n4390 43474\n778 13438\n18053 20275\n78675 95927\n39936 65158\n88119 99944\n54774 91577\n3032 67044\n25456 90835\n2968 34543\n69114 77395\n46715 93169\n98674 99819\n56609 70540\n15416 53807\n3280 92360\n36645 70891\n48036 92112\n411 96056\n73140 96090\n9328 50817\n82941 83563\n51731 94192\n13331 90797\n92442 94340\n2248 57256\n59131 61357\n83613 98050\n25063 38096\n2866 41965\n61720 78178\n47545 74778\n156 35358\n28261 39150\n13315 38690\n24659 79236\n24693 84569\n25830 70674\n18696 29075\n50961 76553\n52837 68406\n38583 89563\n51199 54323\n49461 80950\n51300 72312\n14417 45170\n1544 38443\n17878 49084\n7290 22941\n18563 40673\n11284 80668\n31286 91877\n47209 72808\n56423 57495\n55518 78395\n21089 76970\n16119 38730\n13685 45463\n13928 68413\n45599 80257\n9387 59165\n7668 11243\n1291 11212\n58817 99740\n23316 34264\n30212 55226\n187 11961\n18038 68509\n39806 48284\n22129 30174\n1472 40608\n27454 46670\n47095 72921\n20988 57547\n13352 94122\n32820 90692\n26214 68975\n21909 62616\n2206 63867\n17894 37398\n52589 99831\n88308 89075\n63712 74151\n30656 79694\n7216 82031\n21119 80014\n3180 90258\n68764 95119\n52988 59686\n22688 33783\n2219 26435\n33037 93581\n12258 36779\n4615 83929\n8465 83823\n305 85382\n62723 84493\n84027 97666\n64670 83297\n49753 75151\n9419 71965\n72132 79006\n57854 89534\n44423 59841\n7260 65505\n43637 47237\n37814 56026\n3050 17414\n42694 91874\n23192 56375\n29026 44024\n51432 72362\n22990 74521\n7616 61793\n53790 54013\n42485 85829\n11691 68336\n29434 46538\n11548 64968\n34053 88468\n18320 95859\n8476 22268\n49280 66676\n22551 29112\n2324 41183\n63505 89812\n14441 70081\n18346 87464\n5731 46826\n12306 71418\n68995 72304\n41523 86047\n44881 58311\n26820 83559\n81144 86644\n10491 59612\n19070 73915\n72898 82665\n39430 71452\n96410 99309\n46722 81754\n18483 36813\n15249 98229\n44712 65841\n41876 88961\n34319 85738\n65025 91197\n54108 84370\n33241 36292\n51859 59831\n56183 75099\n35700 65613\n50067 94441\n36510 93475\n45790 60275\n19028 76820\n67429 99798\n53129 80052\n19864 75278\n13236 91647\n49659 65601\n15042 25129\n39584 76058\n8752 61218\n18585 99168\n11662 61661\n17847 46879\n43057 70039\n16485 16803\n52340 86664\n36774 96611\n86139 91565\n38409 39791\n11072 57643\n33845 99342\n9115 15950\n32815 39451\n85269 90931\n29782 48012\n8021 81682\n57433 97897\n80194 92294\n13906 29960\n43584 82743\n11187 88829\n12647 87010\n5142 41012\n54055 85156\n21370 98603\n10426 72382\n93448 95519\n83226 92447\n40129 84390\n73098 74809\n31284 80199\n2651 61665\n63242 76004\n34504 83853\n5839 92719\n35788 79061\n3962 97940\n37486 79598\n27315 68575\n15704 42796\n42787 46267\n30113 90058\n46926 52804\n2804 59252\n19523 34429\n19684 87551\n29079 95554\n13207 27748\n60678 66336\n85257 95384\n11604 99674\n23878 52552\n62886 99701\n31508 60074\n38837 77800\n25649 91082\n10556 12732\n65362 96307\n28711 99622\n14606 45140\n6531 78593\n10337 78765\n63508 83311\n54014 54700\n11538 23384\n17019 47523\n14110 75229\n27058 30193\n47016 57837\n38300 52270\n1775 96760\n26168 34250\n4859 29205\n65793 67460\n23708 87184\n7501 73657\n32282 49162\n34209 72023\n32854 73208\n10260 69296\n6055 48629\n4733 13176\n11627 94810\n60018 75723\n43851 67024\n77525 88930\n34895 68177\n5271 79793\n40029 67089\n11301 82856\n32997 59414\n40649 66980\n18314 41390\n35030 67551\n13479 45350\n10791 74000\n36633 93333\n28710 83060\n15934 69551\n17464 92473\n27658 73762\n41309 78799\n25295 53444\n41215 41685\n3200 11362\n19 74876\n9157 39578\n42854 71469\n67170 99878\n35264 39836\n35739 77226\n43999 84292\n78250 84787\n6240 84207\n35662 49320\n43924 54751\n32355 81048\n5493 49374\n26021 46134\n44739 83069\n4827 98618\n62658 95616\n40583 83019\n855 41396\n8157 27715\n31610 67198\n43472 57849\n43126 64637\n26216 94866\n40050 55676\n72296 81046\n80449 94580\n34521 65648\n25482 33554\n56268 79607\n29571 58100\n17126 27173\n33960 78877\n61207 96510\n30075 48566\n64652 96374\n45333 54215\n53684 60449\n13983 83979\n1248 68655\n16254 86158\n45835 87791\n9800 40408\n17875 30513\n26148 98739\n292 47902\n35126 68432\n3891 27253\n35781 82398\n28159 72995\n42580 46385\n6648 18762\n88353 94790\n35507 85315\n13524 60796\n36399 83424\n19683 45073\n36334 36688\n1151 57092\n9475 38117\n3275 9344\n83092 97835\n4935 55209\n25253 87157\n7241 64847\n47683 91444\n16468 38249\n32292 78848\n14527 97076\n39635 68742\n11266 22955\n1638 13297\n49775 90801\n22328 61550\n7384 51381\n10635 54179\n3582 72245\n48632 95468\n30956 86852\n31546 47266\n42212 60610\n32638 44583\n70783 80092\n3182 47851\n51392 66351\n38709 98863\n97744 98614\n1417 38049\n86589 99552\n50077 93158\n58525 98468\n4303 28534\n25403 94965\n30412 94425\n50327 65892\n40402 76934\n19472 26136\n31162 76943\n40667 81191\n29643 95000\n5931 56574\n47680 68081\n87265 92841\n14735 27442\n16674 79737\n95371 98909\n80918 89514\n58424 70522\n20707 92350\n17876 77079\n27253 62509\n25933 72821\n41472 55661\n55553 89363\n21897 70279\n6873 60916\n22461 94611\n42860 50227\n1881 52501\n53017 53261\n13273 91130\n30502 36526\n1474 30073\n70227 77956\n43793 89265\n81903 86482\n30989 56428\n4429 76715\n87081 98777\n7653 66254\n32045 53589\n60280 69941\n45415 88154\n19503 94289\n30723 80403\n30016 93582\n46020 75244\n22473 24907\n70331 74253\n67175 81274\n3875 87809\n48659 94875\n5788 34895\n29963 95057\n17476 80309\n31168 87691\n19578 82541\n46713 64749\n26104 94564\n43359 79857\n44175 71039\n21260 23627\n15201 41534\n32265 93382\n65944 77577\n27731 79273\n88351 97508\n16267 69867\n29107 92105\n67337 90738\n59769 89308\n38741 99353\n61960 93084\n32130 65565\n59543 77401\n46266 79871\n41181 44906\n24771 37685\n7292 35140\n37039 46225\n4593 71612\n34426 65514\n64408 78862\n3469 22019\n31346 80937\n1308 88775\n10877 67158\n11785 93422\n17858 72184\n10057 28398\n46474 81558\n58888 76365\n24355 77869\n8172 57214\n46807 55068\n38556 95883\n51534 77611\n11747 67429\n6604 9754\n33403 84247\n25029 53221\n30656 90525\n15570 65832\n23768 43172\n27291 93907\n9472 82738\n82500 96569\n3747 44148\n251 99086\n54989 69443\n8364 88624\n30595 34919\n32391 66969\n22730 78569\n10184 87756\n25216 30770\n42428 80918\n23364 29030\n51293 85260\n10831 19158\n17572 84762\n4585 28143\n63607 89083\n2272 26295\n29989 49503\n5698 37935\n51018 83209\n295 91277\n10841 52652\n9782 70600\n17406 20280\n12875 97922\n52248 59230\n10402 40974\n79487 80062\n17148 26978\n36185 45689\n37506 95639\n17810 23194\n44919 53834\n27239 62933\n65321 94489\n66317 80816\n18683 67819\n39157 48273\n43871 89874\n39227 69357\n38587 86067\n61251 80645\n13321 41791\n12670 61362\n42182 76602\n45889 56994\n1847 63015\n4733 37300\n1850 63060\n57361 91115\n23470 66265\n30412 94097\n51562 95158\n21591 88332\n60920 73689\n61863 76521\n880 67362\n39408 80648\n47372 58766\n35801 76273\n72661 75837\n1704 45891\n21702 37371\n3749 83821\n64810 74779\n24465 62498\n13240 35680\n12201 53282\n13601 37787\n41137 52110\n49337 63228\n34577 62330\n15363 22350\n30087 88200\n39935 58890\n17635 99643\n43622 71964\n9276 29021\n26247 80199\n46948 79093\n38581 89047\n9124 24765\n38274 80160\n36322 44223\n43516 62888\n24964 63922\n37607 74124\n75177 76187\n39212 65337\n23056 51219\n21233 45532\n28892 39923\n16417 90673\n24196 96896\n79159 86894\n52642 63892\n32038 77413\n6549 35023\n25758 40762\n5993 62863\n68632 79655\n24086 31422\n51056 76881\n70598 90610\n73696 77385\n1045 78967\n30746 98240\n14322 75974\n14211 48214\n28587 45927\n51704 59106\n6373 46956\n16724 68442\n68028 97268\n55 3090\n33824 47306\n5583 67708\n22960 50012\n64099 73555\n34867 94937\n39453 85334\n49038 62450\n3579 25950\n45212 56452\n23581 39574\n8273 28465\n5771 46168\n28695 55974\n42798 97119\n4078 34578\n10451 43706\n3888 53641\n21856 25635\n45972 82559\n26502 66149\n8878 71725\n27306 51504\n39336 60546\n8228 19641\n17762 72909\n13443 96639\n54488 88694\n7804 92284\n41044 48755\n34384 53208\n18150 36547\n72634 78269\n29653 36070\n39028 46020\n32461 51135\n34735 43489\n6440 67942\n73411 75547\n89321 96814\n16735 86041\n73557 98129\n47242 67862\n5928 97309\n29259 87467\n30374 55955\n33082 85392\n7135 66495\n16030 68578\n75184 97168\n25622 73549\n7107 51777\n34782 36980\n22911 72248\n85359 93392\n49548 92852\n47073 63655\n18414 25301\n1204 76583\n927 71807\n41125 56708\n3205 3614\n49397 87849\n85621 86073\n1044 12014\n35107 77741\n24832 31180\n63456 70501\n3207 18550\n26681 39620\n7948 91986\n9464 40243\n83122 98787\n21947 44847\n24300 58892\n28504 68295\n19363 59177\n25044 41584\n65732 73174\n63967 79313\n4744 21559\n60620 67338\n90085 90363\n14705 75176\n90191 92200\n18569 23063\n37240 92262\n26633 58724\n14826 62293\n9664 20016\n7655 53595\n13600 92352\n53567 62610\n9066 89859\n50731 98544\n47212 94479\n4466 24077\n8174 63484\n39259 60067\n26176 98659\n42479 89490\n55684 85516\n14232 22213\n17931 47856\n15876 21882\n39776 79348\n67074 91010\n36435 74726\n1230 99292\n81022 84061\n38573 71345\n36213 66545\n14599 52116\n30352 43697\n55797 90085\n1673 62398\n3203 13497\n75846 97809\n28445 99724\n5599 84931\n59534 77151\n21446 28777\n7491 21423\n77580 82721\n59190 95027\n15685 59065\n35228 79647\n53937 97697\n33377 62800\n29767 68303\n26251 49840\n26084 57853\n6925 14893\n21326 85607\n3821 21629\n12025 91779\n40932 45536\n46665 81152\n49063 63925\n7414 87646\n8384 13103\n4335 13703\n14163 63064\n18821 72225\n1343 23989\n37030 58004\n21087 74175\n4769 22640\n25514 95007\n702 92078\n51639 54149\n3136 22532\n49301 63204\n1253 29999\n65273 79286\n67106 69297\n49540 69900\n1265 92694\n2424 79263\n5006 59561\n3422 4087\n46960 54362\n1620 63860\n35547 63181\n71503 79437\n5030 59282\n66555 85955\n72254 95610\n25298 47338\n45573 49210\n3074 23742\n1842 28075\n32665 72535\n44456 59593\n4017 89250\n38750 86839\n61565 66811\n59035 61695\n43189 89793\n12349 15682\n12893 54434\n71715 90864\n29691 82966\n38607 65398\n21320 99715\n16624 83523\n48926 87066\n23732 79680\n31337 92326\n41937 72006\n46406 70277\n14022 98929\n31125 77281\n32659 75743\n11728 99570\n38949 71490\n6133 22186\n44102 76506\n4095 29422\n20875 78149\n18059 25163\n49197 62530\n4037 92774\n47116 79467\n42842 85889\n44696 71840\n43385 45676\n30316 52213\n2922 76790\n914 24738\n80602 81922\n59891 77066\n26531 88566\n44940 88036\n12773 43412\n73629 95015\n24189 93717\n1097 9843\n6178 34588\n257 15793\n41562 57626\n40992 60018\n24004 42047\n87547 96294\n33976 96620\n35373 60871\n5690 77565\n32813 68005\n81828 92755\n44905 68094\n26362 29408\n33071 64951\n18697 64060\n12489 18948\n34080 66096\n29553 54596\n8115 94964\n40933 58230\n54767 69247\n47605 79211\n36098 81212\n36200 97708\n19910 93207\n33765 86664\n1360 22026\n35873 40926\n53542 71781\n5060 65735\n26972 80689\n92766 94517\n75197 91419\n22262 73846\n63973 82532\n5783 70573\n2274 57199\n10676 72756\n86189 99351\n53024 90119\n74844 90171\n24748 79576\n41295 65476\n10053 95219\n68316 76640\n15923 92284\n5683 35617\n3242 70785\n81317 88882\n71906 98513\n23306 39371\n71296 82427\n40745 51629\n50338 99388\n28598 74320\n52419 59331\n56322 69163\n37045 73425\n40404 67369\n48072 81403\n59239 85350\n15664 24159\n10541 32690\n68348 80625\n15353 24337\n59815 77685\n14909 25572\n1945 50009\n31596 49882\n27994 42383\n22791 86137\n458 5824\n24246 41751\n6092 38270\n45157 83962\n13647 35808\n826 48328\n31991 80626\n30776 50768\n26762 56548\n177 93407\n13555 60145\n53214 88890\n34408 89686\n36306 38764\n33866 39567\n1632 39477\n27874 45658\n36744 75920\n8651 96075\n28829 52125\n75318 96088\n485 58891\n52009 73357\n24340 68390\n37887 87733\n3729 66219\n83448 86793\n31997 54296\n54112 65745\n17935 26882\n6274 29299\n24300 41684\n13759 53250\n5151 28267\n53569 68334\n27341 58456\n11193 75224\n73998 76945\n14338 94083\n29438 36020\n5830 63035\n41587 62395\n46621 91075\n25633 49232\n10683 88770\n93068 96631\n46100 91958\n41330 90263\n32694 52393\n53700 56320\n54390 72684\n37778 93714\n32803 80829\n63567 68882\n36686 99304\n21683 51354\n34414 68106\n9704 39757\n45612 56679\n76620 81157\n8010 52432\n3771 31298\n8334 88250\n92932 96415\n16733 30496\n31073 41297\n50428 98095\n41218 62541\n29981 52190\n8611 69212\n5108 83667\n27261 99950\n72449 78284\n15375 55884\n44876 54340\n1017 39835\n80979 82430\n9608 29719\n36023 66757\n1134 7283\n22598 45480\n33233 47563\n32176 40586\n7296 71787\n34092 60284\n60642 89443\n29358 66755\n54942 90560\n18518 25412\n94134 95341\n29393 94427\n31074 95629\n6838 96875\n13227 50502\n757 16743\n53910 67710\n52370 82380\n24279 98947\n22586 36480\n37080 61047\n36796 42936\n61986 81882\n44332 99134\n45542 79355\n10641 72907\n76318 92917\n10152 96946\n13837 22368\n25361 56656\n1251 85720\n17538 85904\n5899 77860\n92431 96853\n2319 65463\n57067 80788\n12146 73679\n21730 93481\n63135 73236\n76036 83567\n38184 61213\n32255 66286\n43898 51975\n9433 37121\n17972 99163\n33013 57728\n26386 68331\n71482 71989\n8078 39809\n27771 31920\n25205 27528\n13227 37061\n39368 74634\n59818 75178\n33055 79755\n2060 31306\n56558 96475\n19371 51247\n38884 38971\n72971 82528\n13968 48829\n36388 74800\n50883 70133\n76849 88085\n15268 60718\n28531 35601\n33184 66924\n28413 76792\n11159 99187\n72853 97523\n15392 68138\n41011 71956\n34874 68907\n36791 85490\n24052 60315\n25320 93140\n52938 55934\n76987 98464\n52821 75959\n57166 94765\n31235 97423\n21201 93237\n25942 59907\n66417 78861\n40508 72912\n72821 75432\n912 41857\n8110 37747\n51836 76014\n23674 28945\n42955 47052\n41874 59022\n55581 75459\n10744 51078\n37180 63414\n64358 91389\n5553 6741\n9267 83021\n71235 78199\n39629 89584\n20796 37993\n71369 98407\n37195 63043\n21658 58556\n70053 96478\n21233 61276\n37357 56485\n18659 64877\n36145 49813\n52520 55631\n27194 68223\n45632 51357\n89218 96517\n3193 45943\n83791 88524\n64134 75805\n1912 99389\n47895 71906\n45448 75549\n21801 78389\n27633 68658\n812 95536\n19637 24682\n39404 65952\n19614 98228\n3859 36552\n6224 35330\n5936 31993\n28814 38027\n9694 24893\n30728 62470\n71795 83590\n47674 49515\n30852 66280\n32059 43516\n18957 82933\n7265 41833\n77957 84693\n21712 75322\n15408 47906\n50313 54305\n23693 70592\n8615 95088\n22180 97979\n4847 67252\n4142 40381\n14245 94803\n45748 61623\n60447 87100\n64261 93606\n3017 6657\n31559 37012\n22891 36645\n1944 36758\n45447 55129\n29254 49580\n43481 89276\n23163 71988\n4152 16197\n3673 46365\n3155 5665\n39793 79331\n21771 57056\n3583 54924\n9178 48265\n28831 34240\n75188 77668\n76304 91045\n65588 96486\n32606 46880\n38314 77301\n52514 63191\n15306 22493\n53084 74146\n25515 55118\n13837 50053\n2391 87782\n48069 63524\n49545 90649\n8092 87129\n21825 78891\n6925 81072\n11841 49546\n1803 48022\n23880 58175\n73301 93331\n57451 99819\n41727 85476\n32792 81535\n2625 34312\n56217 61312\n68682 94111\n49599 73845\n22753 51384\n37323 64195\n14015 76819\n46764 92538\n19336 55715\n64685 96371\n35066 62321\n51428 60203\n40378 93006\n1887 63801\n85831 92324\n84097 94196\n81371 82549\n11486 47599\n190 93770\n39652 53702\n27718 82702\n4956 81058\n18757 94963\n51966 87049\n57860 58509\n9073 61090\n6469 75060\n20710 84529\n1476 63967\n58655 91646\n17756 35330\n9470 44729\n50075 69260\n63512 64679\n89725 91848\n66824 84707\n45518 91240\n7934 13345\n4551 21003\n11617 81834\n6132 15983\n20375 67733\n50338 87761\n3660 57465\n55731 60551\n51169 93740\n1079 91357\n13670 28692\n19246 69750\n31724 92543\n1173 44915\n19513 98432\n3274 12422\n82425 93406\n54252 89703\n41409 81248\n56291 94816\n1241 28576\n5244 28447\n25952 59670\n20441 33512\n52012 94828\n24475 33697\n77665 92898\n64537 80162\n8686 66755\n17904 37930\n25342 32359\n65749 98059\n14894 94395\n18595 47887\n53815 59625\n26989 61887\n16302 34976\n16149 67682\n11954 89494\n28148 82014\n58002 99166\n12315 90045\n12406 80686\n3674 88533\n27907 47978\n23163 72119\n6216 65472\n41407 46785\n83149 85016\n11200 34228\n69080 88293\n12828 51474\n58961 76171\n8809 41825\n43654 59469\n59389 87937\n62071 91965\n32394 62048\n19934 65769\n15571 43478\n52191 56304\n42834 74279\n20722 37931\n71827 85892\n48777 81693\n12751 85240\n9644 63373\n16132 17805\n6743 61157\n21009 59128\n20380 25901\n81886 83997\n52692 81705\n93934 97697\n84235 98342\n51972 65088\n36652 60073\n25255 73433\n18329 54006\n5547 30479\n290 57658\n30260 79556\n86534 90565\n56605 68335\n35821 51225\n43999 96383\n24552 53029\n16286 67727\n58580 64599\n9816 49404\n38417 58730\n3210 49638\n22793 79097\n3750 54774\n14152 77157\n30808 65662\n59205 75036\n17440 76641\n46611 74688\n40176 58307\n86921 96230\n74327 75375\n75314 94719\n7349 88096\n7538 16992\n39539 57698\n14357 38118\n55319 77890\n7652 88907\n21144 93443\n44011 44680\n26643 78663\n21460 67873\n14399 49357\n43342 80453\n13548 22156\n71045 89253\n20444 93773\n28863 29180\n40752 60188\n36834 81816\n62091 97445\n31205 41551\n32850 65500\n4584 74388\n6481 51204\n71566 94492\n35756 36010\n27892 58940\n3684 51644\n30600 66837\n45066 46922\n58527 95376\n4098 90708\n464 52545\n13573 70590\n269 99108\n36317 58412\n6707 78264\n51473 88950\n32845 78841\n8929 30389\n6323 87214\n61586 93865\n40490 92256\n10860 12574\n34633 57571\n8606 9497\n63284 94130\n15474 78965\n8297 70340\n26032 38633\n57550 92018\n58452 64206\n23197 84166\n5232 76937\n30952 31734\n14644 54613\n12035 45966\n9781 53540\n17037 50528\n5716 40894\n5706 66169\n74932 77411\n43550 74913\n66081 67424\n687 37881\n82281 95055\n77339 99487\n66943 83294\n17483 59940\n61618 65943\n36138 70550\n12515 20910\n2604 14186\n42787 74442\n46327 56753\n21183 66009\n7943 88038\n9483 48362\n53568 65371\n41502 52714\n57486 67940\n33848 95616\n15836 15885\n32960 88817\n18997 25353\n885 37874\n31818 74273\n60548 84285\n19541 44231\n24331 95283\n50926 96461\n69064 94139\n4834 50618\n30531 90880\n46518 56097\n4300 17217\n65042 99942\n13039 20630\n51763 79597\n3059 92646\n58347 58876\n25400 55960\n8038 32573\n23324 94053\n38275 57756\n12848 66062\n13762 56623\n68609 98721\n51340 98261\n67795 83016\n29106 35975\n54361 71439\n23001 80939\n30343 45948\n10891 73611\n10675 42322\n37095 63351\n18662 56838\n716 8081\n4649 69437\n23120 37564\n43152 69751\n37330 45827\n38375 64775\n12300 50390\n56972 61301\n76833 84811\n40606 98454\n804 67172\n3205 79932\n49475 71804\n37367 47882\n47044 92658\n76798 87097\n53202 71936\n45723 67777\n18088 96880\n88251 94728\n38593 64306\n34530 80851\n53340 82178\n18590 83993\n13103 40288\n16370 60388\n38409 59171\n33713 56389\n47276 63607\n13153 42865\n44090 68830\n6347 74363\n81656 83293\n72303 77854\n17136 54774\n64666 76373\n39540 70659\n86055 98648\n42677 96932\n70115 87298\n34148 69428\n41050 70115\n30727 58721\n13265 13793\n33917 98591\n3363 31193\n92415 96415\n70764 98400\n58607 77486\n13760 80083\n52427 87080\n17750 85007\n21575 25614\n8912 69210\n8867 54737\n50764 81380\n3013 24985\n48961 61077\n17368 61897\n8801 46591\n68194 85863\n56591 83051\n15119 35965\n15789 76734\n3698 53898\n17368 52429\n22246 55999\n79796 89739\n35119 79649\n39806 48769\n47622 84992\n62441 81762\n48361 49540\n28320 83413\n516 86889\n72544 92773\n18854 19811\n72903 74583\n13390 85842\n4813 85453\n10899 81009\n61595 82671\n57198 57978\n31237 64525\n15172 39784\n22391 45404\n44781 56178\n25670 44664\n19568 82306\n43360 82507\n41590 57586\n25026 45141\n41011 56637\n67890 91788\n5257 61975\n23932 75815\n33039 59953\n2498 19914\n19501 46737\n12473 58774\n44310 46514\n39431 90246\n14597 67903\n6403 84925\n19104 62606\n15678 43517\n16178 57389\n57700 98302\n29335 43104\n92322 96766\n31923 42000\n42251 70368\n48978 63992\n43962 81740\n15851 98800\n34806 98091\n56710 77836\n17701 67115\n5243 87343\n3576 82469\n7471 68208\n24893 46786\n27703 28729\n39412 84975\n3519 53498\n37292 43634\n32542 41391\n38548 95733\n90095 99570\n74658 76663\n41279 47124\n21581 81259\n38373 82499\n12345 90930\n89650 99813\n12241 34196\n82108 82914\n21234 49272\n39208 63684\n63927 68490\n79271 80783\n35897 83124\n28061 88344\n12141 66478\n34327 88227\n39024 90548\n10871 88139\n45782 95381\n38801 40334\n12303 83482\n10678 39161\n63324 78789\n55751 68904\n27546 61227\n14330 71987\n44823 59598\n50867 86940\n72857 86918\n47292 64389\n46532 67076\n15194 71478\n34214 74334\n62381 88145\n12497 86468\n15962 22760\n81036 97487\n96535 99724\n16868 52856\n76344 78654\n23506 29354\n21945 93735\n43838 81690\n41229 70882\n6061 61117\n60011 97244\n1155 50165\n31079 76166\n49213 89890\n4497 46642\n32936 60038\n2283 52680\n25821 30711\n73944 98155\n62891 84358\n30966 61121\n23332 80896\n22331 58647\n28493 93450\n50978 97347\n38501 43393\n62498 66609\n22878 40103\n17070 44592\n18933 40280\n44316 71326\n5542 33124\n22964 51565\n26798 33450\n67771 96996\n17139 94142\n47861 94015\n6212 29952\n33257 47936\n1511 84055\n16174 61290\n1625 31441\n31124 46089\n19229 94401\n36863 73162\n62793 64828\n14958 79358\n7985 16300\n19479 56071\n11491 39820\n51920 88155\n19495 98725\n11053 47285\n43640 65231\n8474 41380\n91976 98326\n82617 98588\n26731 96853\n12116 51736\n32188 75360\n12746 36135\n40131 54480\n37864 70496\n13842 99242\n5058 26166\n46456 95240\n12845 45804\n29480 86677\n78770 82502\n43668 64574\n27598 65066\n31881 81450\n48288 65804\n802 81700\n82625 90034\n19541 71299\n23373 50696\n47693 80884\n3619 69844\n12615 20435\n6308 24251\n24629 63355\n73434 84311\n20776 42291\n37686 56803\n52160 65323\n57481 82772\n34515 82238\n7206 18354\n7829 25469\n5175 43663\n55247 56692\n31837 46917\n9002 99523\n59857 98663\n17795 22224\n29337 64135\n25295 27029\n7854 86241\n48548 85453\n62842 99691\n47973 51189\n42565 96716\n38202 69763\n13784 85734\n1633 93477\n24660 46863\n692 97233\n25914 41771\n22303 45276\n34195 38884\n8315 37044\n22194 48036\n64192 85002\n56189 57467\n58864 68587\n51027 87017\n58865 79880\n58559 96264\n31746 93198\n7970 31197\n46551 77846\n35366 46602\n63573 73853\n32832 67803\n7925 9214\n10361 25598\n43607 49247\n17448 30930\n57966 62641\n17140 91065\n62762 88459\n34672 93988\n62945 98677\n12561 25013\n2303 9321\n48737 85985\n3388 58866\n71982 91272\n14112 30859\n28610 91417\n20507 76629\n929 58902\n10360 56812\n43274 98610\n45260 48836\n66436 95569\n17279 70390\n87807 93041\n821 98473\n65442 84486\n59901 83017\n12462 85748\n25205 48077\n4730 35214\n66762 91805\n58931 65710\n13033 53599\n14859 77783\n26348 37199\n11241 22529\n15867 22963\n42262 80449\n7669 33698\n21266 53102\n37958 71910\n17055 34568\n29814 41118\n49794 59596\n62939 99309\n85702 96942\n72264 92032\n32227 92261\n34165 78038\n67116 92930\n64776 95515\n20946 79375\n19828 90911\n3161 72884\n63084 74524\n69602 90951\n15315 81541\n49739 67905\n926 53059\n67189 80161\n62619 98131\n16516 72092\n44243 84789\n74379 78041\n60655 89760\n2895 73210\n45827 51267\n68247 70766\n23765 83839\n69927 97699\n70872 75887\n30109 85321\n43959 63865\n32785 62628\n36499 98353\n70554 84078\n61336 86375\n29134 68733\n51003 90066\n30189 37490\n6112 7016\n9581 52461\n47316 90655\n17868 84911\n9589 12834\n13121 76518\n13884 49578\n39938 85922\n4613 8306\n74762 76353\n12773 84869\n16185 95596\n41676 65134\n29398 75129\n29738 46420\n43586 62495\n16747 77051\n64334 77181\n5909 7850\n20265 31758\n50151 99248\n2108 84504\n37801 52249\n82923 99805\n29793 37750\n2360 44373\n9903 66073\n56015 75436\n68026 83961\n54354 69681\n38235 93357\n87293 95718\n15463 89866\n82071 90698\n8005 42861\n32109 33753\n17425 73576\n81752 89359\n8375 34771\n43813 61083\n13348 86443\n42329 58766\n25451 82790\n41403 46971\n4010 75458\n10455 37026\n9732 67538\n45416 80893\n566 89994\n65972 82517\n46287 49616\n78230 86449\n2016 57367\n11781 64457\n22466 34960\n44330 73563\n48363 96874\n14995 61479\n26104 65967\n76927 80963\n10976 28952\n31789 42941\n22983 56248\n44988 53750\n15394 58109\n37305 65398\n7194 45988\n19557 99711\n11374 73725\n51708 52879\n2443 57748\n63824 97744\n15365 56055\n18205 72075\n63864 64064\n89514 89544\n34272 89507\n74536 83852\n38762 94508\n28077 43731\n42649 44582\n50401 99910\n87625 90656\n47125 61355\n30788 81950\n42344 69981\n7148 86266\n9433 35228\n4013 39921\n10693 13289\n9100 91891\n13893 78204\n44708 80981\n26959 33636\n28120 41247\n11787 51221\n3406 78387\n7907 88697\n48777 67708\n167 98134\n75230 75908\n46907 68942\n12846 20544\n35233 45282\n15895 53017\n77771 85538\n39931 63260\n32924 58556\n60301 63178\n25135 95845\n76347 80983\n20352 81234\n8979 17862\n73860 86200\n41446 74778\n53518 70771\n5502 63411\n58056 63037\n37751 76084\n82797 84994\n27022 59941\n38318 58769\n36295 48328\n54614 82121\n77595 97846\n35309 92248\n40023 59771\n54649 88169\n64865 83769\n30272 88973\n107 55937\n63398 72151\n62202 65814\n3046 24987\n8986 23297\n28145 69561\n77162 82686\n40862 78777\n46707 53549\n6802 64655\n5991 72166\n43316 66630\n6174 64959\n96918 99583\n54236 59399\n39478 47747\n83203 98505\n41455 60734\n31647 68543\n43289 97260\n36424 36893\n72792 94772\n71952 76969\n32192 59036\n53437 54811\n22044 53895\n25034 98698\n25228 38972\n23403 81850\n55657 84166\n60113 82357\n36867 46272\n61034 72167\n3792 10818\n62458 91313\n57036 60972\n27907 88077\n64156 93764\n1751 60803\n14794 29312\n60130 92320\n8835 16366\n22426 91295\n23768 81166\n55026 71419\n15091 40952\n57787 65494\n21560 31563\n15086 23047\n58372 72897\n67909 75915\n84179 85200\n10614 33783\n4818 72464\n42730 84390\n37238 86377\n78495 87055\n51565 65080\n78265 90564\n65561 94282\n15462 64492\n8063 96739\n7100 61649\n14558 48624\n56183 61207\n20642 92872\n24317 57158\n38256 56282\n47579 72890\n24646 66870\n33817 72922\n33035 92216\n10008 42955\n9094 10102\n6819 80036\n18017 72663\n50190 96369\n22670 67438\n71431 76916\n1757 18479\n13055 57006\n68322 69844\n23214 24071\n9506 91867\n79758 87863\n47313 62785\n8569 32344\n2036 87243\n25871 63226\n77833 83456\n17292 67564\n7486 20142\n41767 91339\n42817 61142\n34603 58929\n62488 99479\n45828 51247\n31585 74638\n41894 87906\n62775 63621\n57529 77167\n27448 80822\n44595 86432\n2557 95442\n25472 41729\n37455 50830\n60160 66045\n5332 66033\n12823 79651\n33162 58239\n79776 96588\n57546 64923\n82166 84007\n21245 64284\n55463 60161\n10773 72313\n4643 8949\n1244 10507\n2808 54279\n7063 39646\n24894 36917\n52835 96646\n13548 27913\n36483 69370\n63757 82121\n82487 88529\n8141 53249\n6562 36965\n14940 75188\n68587 90986\n7270 12849\n40428 66380\n16637 69800\n4470 43294\n8591 82098\n19005 83711\n6404 52019\n12884 75101\n43550 52890\n32404 49056\n30859 32610\n51763 73000\n49064 69604\n77409 90177\n25939 77242\n79729 86341\n62772 99712\n28123 95682\n25944 59081\n68396 94368\n54095 60018\n96490 98201\n16688 58165\n2691 60634\n910 24001\n19845 39395\n70233 76134\n95489 97043\n33613 38200\n66229 93301\n1168 52399\n12664 36972\n42291 48597\n10742 22427\n3548 24901\n60585 99853\n47312 89993\n9125 98370\n16121 76463\n25201 56371\n67999 70219\n10007 51981\n53920 62389\n24383 73016\n12645 53451\n29233 81172\n3529 53497\n5320 38792\n11700 14368\n31291 72140\n44827 50328\n11661 67347\n7256 82407\n21869 29864\n59475 93489\n4814 77823\n49216 62483\n78765 94854\n2429 3525\n67307 92431\n39085 91430\n10937 62597\n2842 48210\n22717 66344\n15729 25301\n31963 66154\n62795 97698\n60049 68951\n60972 92426\n27003 37392\n20081 42153\n5347 85861\n17475 30887\n37714 55703\n3365 19935\n85851 85938\n2258 68712\n17125 21215\n24838 93190\n79699 83707\n65343 91387\n76284 80019\n11960 50002\n32122 96281\n9402 43861\n4336 4942\n46132 61650\n10629 83991\n30411 51426\n17479 65982\n34749 66232\n36060 81456\n13422 13980\n73009 80968\n69197 92956\n17620 82111\n37986 70121\n22947 36513\n14803 55667\n43489 49476\n9463 18355\n2695 62036\n55171 67516\n10471 44371\n55028 62209\n65682 81981\n40199 74888\n25496 37160\n2617 36510\n92550 98015\n29640 68428\n4711 23430\n24524 94043\n52283 61152\n3413 64007\n35780 98721\n73508 87277\n5372 69781\n73625 82718\n17373 22888\n71809 94730\n54159 71760\n162 9120\n5930 9034\n7053 82603\n77794 93544\n25600 87865\n20862 74259\n27472 63477\n11310 83066\n15271 25528\n15874 61321\n46445 50435\n357 89209\n11600 42056\n69230 99364\n80460 98268\n7244 86533\n64951 70025\n60700 97618\n389 8602\n52197 67833\n77975 96785\n20269 56629\n30063 63246\n48740 92703\n4204 75093\n47245 67402\n8955 64736\n298 25888\n16936 49119\n10956 82918\n29094 50593\n21913 82890\n70626 97239\n66658 78871\n7273 83250\n19037 68494\n26546 48153\n63750 79359\n20682 70785\n23348 43395\n28114 29808\n37345 96592\n35248 90853\n42450 63457\n82304 88409\n92051 97681\n84420 93946\n52847 55296\n7098 90854\n43070 62302\n37658 90253\n45618 59347\n23071 70252\n19270 53064\n64257 80810\n21252 53134\n28145 79237\n48091 63909\n7875 93093\n21555 31364\n4831 47794\n72389 82449\n9874 85782\n10562 90919\n7101 68084\n69613 81863\n51849 76051\n67369 91270\n34658 51186\n48148 94867\n83395 86101\n31544 85389\n15471 29926\n96005 96517\n15004 83788\n26757 93385\n17417 62152\n7744 7747\n68101 91226\n4846 70265\n8358 34034\n1291 58057\n33625 36526\n76152 96092\n54316 66166\n32329 55223\n39817 65960\n32828 78236\n31324 72995\n47193 87013\n17613 74064\n40394 80601\n20030 64122\n8949 90086\n6340 81295\n56800 82132\n911 86310\n22544 73739\n5080 9039\n52617 64073\n50585 80888\n14822 43287\n13859 38166\n74711 96368\n14287 67485\n2779 29101\n10742 87162\n31084 96884\n93744 95044\n3364 51009\n53083 99828\n8113 78471\n65127 77437\n1464 25632\n6347 66779\n75112 99951\n90241 98025\n18429 32379\n30402 90381\n275 13271\n435 72992\n13166 62766\n61815 87240\n1817 43612\n10838 83721\n40615 87335\n31741 99239\n20654 47522\n33817 90703\n81197 99023\n46109 87345\n19651 49373\n51234 53878\n28761 40818\n25075 78744\n88135 92916\n30691 78969\n4089 83076\n79837 91999\n41131 70490\n18801 44968\n17394 43720\n15770 69542\n22415 40599\n8517 32884\n6745 37546\n5425 13159\n466 8352\n18017 46807\n53622 95828\n18822 50282\n14669 24490\n6568 91684\n6374 41823\n14002 81416\n1775 32878\n17701 99128\n48183 94538\n5911 91309\n31103 41092\n14037 71657\n48183 57894\n65235 68078\n6159 12554\n13334 42105\n58906 69560\n44557 68530\n93404 93561\n18491 19441\n54332 84196\n3696 34640\n340 6525\n60051 99670\n3088 78163\n35823 83277\n6870 61659\n24557 39291\n60967 80035\n8769 52611\n10239 68863\n89258 92635\n1315 14045\n35708 64848\n83156 85907\n37916 77177\n61798 65981\n60286 68943\n40486 47300\n6148 77624\n48317 56575\n63758 64274\n9079 54442\n31583 78111\n8930 46598\n42275 61490\n15355 52096\n38054 49018\n37252 80575\n28473 63483\n2676 30377\n1507 60805\n40144 95814\n14821 33725\n1460 25922\n64003 70379\n2527 50528\n36355 83483\n10644 34956\n61574 86435\n72556 79434\n23505 64135\n23143 66366\n11487 66528\n65967 81693\n43902 98777\n5358 73246\n64268 90501\n33779 36463\n31646 77005\n44756 47554\n31497 65501\n35606 71401\n72686 92532\n46634 88597\n39444 98004\n37118 77151\n65424 70836\n18047 73932\n33346 34082\n1350 90296\n26391 99615\n46285 95265\n17413 56941\n8129 80705\n45736 67181\n32023 78594\n32618 66009\n18089 45279\n8487 39819\n62069 98005\n5350 51278\n16301 66087\n623 85766\n30383 51822\n18219 28809\n5922 79594\n61314 86560\n34520 35701\n18305 86209\n12201 20308\n3979 91493\n56116 56738\n1018 37448\n49342 99322\n44729 93511\n19358 97849\n26529 48005\n1876 70365\n7184 89951\n36026 42615\n11086 33590\n23431 38268\n41974 68802\n61069 63454\n37155 62045\n38153 93657\n46229 61042\n55205 61830\n42264 83583\n52967 66290\n59822 89412\n31687 87375\n26743 31600\n75944 88873\n13313 75015\n46190 92437\n15534 37208\n31761 84537\n54580 89916\n19438 46798\n71487 84472\n17587 68490\n2687 88072\n9036 78482\n52993 97743\n42647 50906\n14157 80824\n4976 82700\n45557 66163\n634 52372\n46195 98632\n4505 95648\n4356 29600\n87472 94475\n84807 91041\n30928 51381\n4421 76213\n37428 51968\n56433 67311\n10168 58871\n71816 80624\n15419 95603\n24091 93088\n26126 37397\n22418 74790\n65455 94538\n63760 94239\n39321 42799\n11941 77885\n24732 98558\n55897 67088\n70904 80986\n21425 74264\n71478 91996\n14968 50958\n54181 94477\n8859 22472\n6804 41759\n6663 72829\n3320 94412\n29645 50611\n782 71137\n12434 69641\n29620 94465\n24730 66665\n89080 90708\n67177 92671\n4890 92614\n24239 71245\n42406 96565\n2668 56668\n30067 68626\n9130 37828\n73730 85629\n41227 84975\n16937 71069\n45277 81144\n20786 69916\n53825 66845\n23502 33898\n31102 59466\n59566 66296\n18910 37205\n12059 53707\n74727 91251\n3430 56907\n78305 98528\n17110 46682\n21806 37974\n41610 68298\n28325 79225\n24396 59614\n71903 79948\n25144 83837\n49644 71420\n21386 87264\n12787 92297\n42978 47417\n9612 26214\n21153 39868\n3494 54910\n23015 78889\n11749 38284\n54360 73416\n73098 88203\n85367 88420\n19675 99697\n46156 65096\n41405 67710\n13125 71998\n20237 31764\n27030 53084\n12895 63789\n35290 94365\n56207 87535\n16227 48427\n17201 84472\n65393 87007\n26001 65335\n311 70154\n15326 72230\n4397 24454\n79026 84896\n18096 45177\n6084 20434\n84214 92101\n51078 77094\n4017 85689\n3504 40659\n20019 50197\n13269 35626\n24373 25218\n62279 96102\n17568 76789\n10195 11007\n39980 84027\n39404 46943\n53255 91413\n58827 95638\n17296 26478\n63813 95182\n1256 94065\n11555 60050\n39083 71334\n57868 58595\n31896 63966\n6493 7870\n30543 58534\n17457 21999\n57093 70034\n16642 78299\n57552 83172\n55541 68843\n80865 86691\n45991 73193\n62328 64592\n2754 38574\n54314 90905\n36242 60927\n16508 41264\n61635 74292\n27954 99394\n16480 65172\n39048 58441\n9082 82920\n12971 75604\n4248 82828\n22200 63414\n13030 38572\n46916 48072\n22138 40528\n66459 90106\n66174 72519\n26467 99683\n263 44192\n34273 86670\n60578 85183\n4672 50985\n26013 95659\n64915 77791\n74597 91026\n57935 86941\n1633 54312\n46313 58167\n17397 61719\n4542 68673\n71639 95708\n42885 95179\n58682 88903\n34310 46889\n72533 77711\n42870 93253\n26763 86905\n57135 76176\n38849 79685\n22132 86565\n16435 92929\n29543 96371\n92646 93147\n16366 86760\n53748 85384\n2385 54195\n8452 80867\n3556 39823\n3171 21593\n94302 96128\n60499 78608\n29476 73630\n37582 70166\n44942 78494\n37579 70019\n39409 77388\n23994 36940\n3942 76069\n5555 25608\n61378 72519\n64323 87719\n3661 47637\n1092 11554\n17024 86878\n7909 80359\n41325 42700\n57298 93207\n13541 75711\n37879 71105\n80901 86816\n1834 59692\n17722 66343\n63000 78911\n51927 64774\n8089 75690\n53934 74671\n1839 70419\n32767 91499\n2621 40251\n47701 97746\n2681 90432\n63706 94952\n8490 39691\n23873 43679\n60924 77751\n12046 87809\n25195 61646\n22446 71350\n20309 29906\n38186 93965\n79357 88363\n28743 75566\n22894 44270\n8313 53298\n28754 40773\n19011 97102\n32142 51215\n48496 68622\n70312 70660\n55683 80518\n17341 98778\n31256 53178\n57450 84075\n40080 50043\n43581 44468\n38487 63906\n32677 44386\n80080 82000\n5988 50437\n4711 46115\n7812 82633\n23522 36970\n47629 58943\n16735 50650\n25655 94659\n33092 80056\n13623 63601\n37163 46450\n55254 64394\n48766 93605\n70585 74048\n76898 92186\n1221 87723\n11379 51938\n10452 50554\n76063 77301\n50093 87101\n35992 68574\n43895 69090\n9061 22286\n24850 54188\n44701 64975\n1132 63859\n64853 81559\n64960 89150\n46294 63566\n54458 98846\n937 95438\n74873 79498\n21617 70366\n24044 92686\n28021 57964\n20760 47636\n35917 63803\n44303 52646\n653 56777\n18995 46137\n30431 63915\n2537 4544\n1050 17873\n8303 41108\n54166 75238\n53610 54919\n14803 21280\n31555 59637\n15382 78128\n26196 78064\n24317 60909\n28373 67162\n14600 70132\n864 77109\n14329 67764\n43756 64262\n535 43482\n2261 3745\n7557 78620\n38834 76122\n16922 29736\n14808 93502\n14356 81128\n22528 44901\n21290 51417\n30877 69294\n76728 79323\n81138 91083\n67112 93296\n18971 28163\n2547 77016\n80578 97977\n20099 54499\n64275 91052\n23705 52048\n25437 58929\n55860 97780\n72843 92363\n25180 42877\n29561 69374\n37066 97542\n31849 63925\n29097 77980\n70527 79615\n32669 74240\n48690 95112\n1561 71234\n83952 92746\n63943 64006\n36856 91961\n65172 81611\n635 17052\n12379 52459\n29467 36118\n17307 67446\n63461 82541\n36487 52672\n5010 40443\n25392 48796\n33736 57838\n3495 30355\n23802 98606\n17295 37627\n7544 77869\n25888 58666\n24266 82325\n51236 85690\n2853 65811\n71558 73571\n17917 66767\n3335 4657\n49370 61243\n68866 74752\n38157 71760\n34529 94778\n85060 92301\n24081 47932\n61385 72098\n56734 83153\n25813 49469\n10031 36320\n60199 63005\n7519 56829\n13314 17111\n355 43076\n12005 13997\n28194 46066\n84116 88975\n65264 67112\n27605 54655\n23263 49495\n33141 70537\n20167 39309\n59861 73823\n11975 73547\n43977 66038\n1370 18549\n29577 84046\n17286 47131\n5615 87301\n65945 92009\n28533 78494\n8693 84187\n60861 82653\n37635 62691\n22689 25228\n13898 30491\n62205 73572\n68136 86014\n51570 51901\n79309 87709\n23153 50215\n9614 19013\n2657 71571\n18324 28805\n82080 93508\n68436 88775\n2016 79097\n44266 46804\n12017 88420\n36344 64246\n67967 82522\n74968 96718\n74171 90961\n19867 84682\n28460 59930\n69319 71156\n9847 87172\n29576 31370\n19450 30845\n12763 17089\n61554 76593\n36641 87151\n10352 70422\n30885 93570\n40924 76942\n23048 80699\n42769 42965\n4755 52552\n13823 66784\n66915 89016\n26072 34137\n20726 64213\n6950 82680\n10005 60754\n17175 87362\n6060 75817\n50067 52326\n38291 94159\n53776 84098\n25030 48197\n1484 78519\n2419 56441\n47020 63553\n27798 81507\n19072 80816\n9758 46475\n61930 82676\n25992 40403\n86564 97372\n438 78448\n11231 19026\n37740 50537\n3902 29240\n11854 79286\n93904 99394\n27676 92036\n45172 76993\n1709 25640\n48357 66015\n22788 27045\n4155 91437\n18373 96130\n45360 83093\n8797 84044\n8969 48751\n37454 46714\n9318 42136\n14661 51516\n32769 84085\n53901 84264\n71042 86934\n14480 35163\n72484 90942\n3434 25748\n79935 92928\n4240 51226\n33165 90802\n26313 94227\n37326 94157\n56378 94569\n32683 62033\n36857 76412\n72131 87250\n23982 50524\n30675 88815\n32996 67997\n30892 75439\n10911 31831\n18348 67029\n14186 90835\n12441 54438\n319 9830\n68921 71712\n9340 14316\n5712 14666\n4667 59966\n87498 87526\n33933 94393\n10581 36915\n16000 96516\n21070 99711\n13090 48695\n49950 58139\n57104 60242\n55150 65813\n44395 77662\n50656 86215\n24850 52957\n3336 86873\n7721 54543\n10302 14957\n64719 93264\n14375 81205\n5590 78406\n82213 89719\n17873 87674\n26576 33277\n81440 88331\n5587 51438\n13709 50891\n13273 32567\n1250 97245\n26919 37421\n37394 45139\n63726 67444\n61758 75890\n45472 97199\n54114 97431\n31173 72442\n35604 73320\n6440 57476\n73389 95529\n78687 97446\n16462 23983\n12041 72606\n21927 54339\n20975 22780\n49011 55303\n29842 36651\n35144 62245\n1888 85999\n58885 59632\n84329 85425\n33855 71066\n66576 68017\n38354 84870\n9774 44126\n44399 81803\n55663 58967\n34618 69659\n35713 98918\n77342 92125\n11357 37253\n61576 84622\n40029 51740\n38628 42027\n5252 97091\n13824 96712\n6079 23249\n48006 84889\n199 4874\n30954 49190\n42119 53265\n24460 62824\n39358 71953\n79135 91409\n67103 74000\n39305 62176\n70832 98835\n3566 46224\n6940 58954\n37468 79403\n10541 99781\n62289 97149\n55396 76625\n24642 38500\n11843 69917\n1888 78370\n28364 78616\n30100 91151\n2965 18160\n2178 4105\n96141 96849\n22545 88784\n40850 45154\n35919 95927\n34415 71298\n30141 72965\n416 57925\n44791 47427\n30009 48915\n70945 78557\n58311 74348\n74616 93157\n23812 34827\n33866 73862\n24067 70229\n70561 95076\n1900 64837\n8492 16135\n13946 38014\n19750 80939\n41943 67407\n39376 76310\n98140 99627\n22008 91703\n58836 61236\n35992 87430\n91751 98698\n9016 14551\n16723 96763\n48117 75905\n36921 69693\n58991 90673\n71889 90543\n70933 86114\n37709 40136\n25105 48380\n25991 57577\n28527 61200\n11061 98490\n7839 97378\n39924 72582\n67374 78809\n21119 98841\n85254 99895\n9378 18714\n17272 52042\n17342 43320\n4659 34441\n39575 44053\n27288 84992\n31539 89886\n13290 27487\n47587 80014\n56811 70957\n47094 65301\n18845 42109\n24749 59305\n72605 95265\n60068 67035\n69117 81594\n26077 35843\n32747 72618\n65487 90527\n38497 92165\n22078 95118\n11508 77446\n3255 25411\n14360 97222\n31515 37044\n50996 60144\n50722 94997\n22085 62155\n30339 49416\n7027 70569\n39458 79950\n41600 99046\n43409 81952\n8315 39133\n37804 77043\n15813 46618\n45720 69719\n19138 88330\n5657 38757\n62659 94711\n62582 73252\n36667 48440\n41229 90479\n41760 70164\n25459 32189\n27766 42612\n68437 78500\n1877 30378\n3998 89680\n51573 89685\n17574 42146\n61896 96593\n45243 60080\n13973 55656\n6029 19446\n29482 67074\n4140 93265\n39209 89831\n14136 78493\n66773 79041\n34947 63434\n85233 99236\n61876 75692\n44144 96059\n41114 81218\n14786 31114\n14891 50966\n40071 46774\n33788 39357\n14478 41035\n34284 89998\n4769 60069\n3152 10439\n55071 97300\n30703 58021\n58382 75042\n16942 58571\n21603 64625\n50799 71005\n50543 59744\n10884 82016\n91171 94944\n83634 85234\n21785 92572\n45394 63440\n35381 86241\n8594 18674\n14966 63402\n29076 55193\n62071 75178\n54045 60151\n20436 94101\n13040 18906\n22407 36240\n5422 52620\n3486 28456\n85001 91464\n17088 21083\n1255 99414\n45656 89096\n5110 16162\n57917 72463\n19728 93328\n12720 74855\n13452 70057\n30650 75679\n38297 78061\n18245 65748\n8423 24609\n26590 33663\n48 18506\n78470 82669\n3819 71443\n42977 49754\n69817 71862\n23639 97589\n41557 82679\n1545 74602\n85041 98623\n20605 27224\n68732 73677\n23342 45516\n29961 31830\n12947 78083\n68053 79519\n14610 55277\n68780 70694\n16916 34497\n77966 86490\n39926 97020\n26410 62769\n42691 71511\n12310 20292\n67916 88001\n24649 45824\n13997 29402\n69741 70994\n66392 83182\n22763 72351\n77259 98252\n43306 82128\n18953 74339\n3345 4497\n71839 91374\n23075 71140\n46964 90166\n36247 79253\n23753 79164\n29201 72886\n5593 59989\n28679 47357\n17463 23311\n7619 33572\n62947 92435\n48715 81077\n54469 76264\n76246 79221\n43404 71014\n50484 60723\n16275 27915\n38068 63587\n51491 93159\n19949 36965\n40253 84989\n10429 34081\n12694 80556\n5255 85302\n51626 61700\n14538 52648\n19182 73283\n4216 53735\n3328 52524\n61674 81744\n70780 75072\n32876 92943\n72985 74203\n44170 93902\n1113 36885\n13059 70443\n48350 76105\n15078 20774\n43196 74775\n59870 79273\n63796 77615\n74306 85388\n3483 63205\n22560 97669\n48836 66482\n22933 42023\n1861 7197\n42923 52259\n36114 93342\n35883 43694\n77402 95824\n2773 15792\n13650 14781\n24480 80601\n77514 89984\n50256 71905\n19134 40106\n52531 95372\n64515 83282\n19533 90892\n53325 59767\n42907 52541\n6587 61787\n36357 84921\n8108 60985\n56553 71662\n57090 60794\n17453 74315\n64734 88223\n11500 19629\n29329 64059\n4293 65007\n67684 83963\n14362 21310\n21503 81604\n60820 71277\n39800 71321\n47909 54161\n5245 78382\n7567 98967\n56097 78371\n9531 64184\n43662 89492\n53405 70573\n73336 92365\n2956 86441\n29168 43373\n42752 62336\n44038 67278\n7425 27095\n60957 71639\n29870 83324\n24391 87323\n60809 87665\n41292 41466\n66766 68193\n74584 85901\n743 80267\n35652 84824\n58481 70876\n39004 66568\n20164 73998\n7129 48390\n38420 93847\n31100 61229\n26368 79930\n22734 68198\n48725 95142\n1043 91488\n32805 47007\n60444 70815\n56580 72605\n56044 96438\n15636 77329\n23450 50744\n83144 98815\n55951 64665\n41989 47842\n13709 32555\n17753 19412\n69548 80844\n78444 93798\n31422 78962\n10499 25477\n11464 75242\n32611 37014\n7512 63144\n54443 54475\n4912 82660\n25798 98653\n42452 79910\n13294 87405\n60996 81574\n50635 91930\n41999 92913\n30545 41921\n8160 42396\n889 29885\n2239 3961\n12638 72177\n1668 93802\n63147 89210\n29416 47355\n18610 68741\n6731 65854\n66420 95445\n1982 91842\n49991 52329\n30241 78799\n34687 99999\n23367 63340\n29062 91849\n35443 84825\n26982 96589\n1840 12025\n37014 68295\n78303 95815\n90715 92215\n28471 97574\n40209 85770\n32466 94674\n39907 91203\n63522 73290\n25880 92914\n25437 54264\n27761 86182\n59667 61249\n25584 93752\n59582 84012\n78379 87228\n10538 96868\n34874 66057\n41351 75447\n54855 99029\n42774 69757\n56679 77466\n10545 74308\n83924 94539\n74202 83549\n26955 84742\n19001 75649\n61401 92718\n51101 81332\n11978 85300\n45334 86952\n6507 31822\n7617 94135\n25861 95051\n3551 45894\n75317 80883\n48735 93735\n22931 63643\n5794 14682\n79954 91424\n10842 23754\n38442 66753\n20971 68179\n11754 58604\n15097 21665\n41853 66501\n2335 90849\n3216 63029\n60539 67061\n44367 51523\n11911 86836\n6789 31699\n39262 77611\n27121 28352\n37157 41052\n22299 61230\n9143 18136\n32569 84170\n7656 55797\n14712 68585\n61141 87516\n62318 75638\n58361 84332\n56253 86595\n6531 41657\n23742 83325\n11133 54858\n14741 68974\n59030 92327\n87820 96135\n23126 87573\n43703 98044\n34001 50947\n31240 55204\n2462 49253\n4016 79820\n10140 15000\n23723 39590\n2610 5514\n35241 43211\n17935 98838\n14019 82234\n67778 84846\n16807 47870\n17912 79192\n31884 99644\n1148 82420\n49927 60471\n40166 87033\n24406 66518\n19065 73494\n17644 41845\n28135 66196\n31614 39858\n45384 53107\n33855 76975\n29695 59262\n71867 73152\n71493 88791\n26032 79001\n23326 29106\n70371 91176\n53718 83766\n18084 70220\n28150 39698\n7426 37897\n47232 75581\n26958 55930\n48108 86170\n59098 59273\n13997 28501\n13725 21682\n48044 77652\n25710 55690\n23981 78001\n11097 87967\n53678 76399\n32535 84562\n12942 26384\n48776 49816\n1540 85324\n882 80185\n23648 45642\n46318 84551\n73996 99757\n30953 84899\n30756 68795\n7350 82945\n3367 8490\n46387 65485\n64838 95706\n56536 60409\n27531 60082\n69760 92118\n73301 88414\n9144 36620\n9852 43308\n79910 89606\n35774 57573\n84183 96008\n58258 60050\n6212 13846\n13292 90524\n16984 38162\n19822 56581\n4943 33889\n3347 71649\n51904 64131\n16189 52356\n13549 26802\n23452 61813\n47470 62984\n14841 87718\n54082 91134\n49215 80421\n24414 91574\n39358 58528\n48779 49650\n41145 79020\n10469 72006\n7740 26233\n61398 78899\n56473 61163\n33121 51862\n30074 41128\n58151 80703\n21786 49884\n16295 93596\n10172 22923\n44507 83532\n38498 67559\n70347 94187\n39019 43348\n31029 86643\n62893 72966\n2248 45151\n48452 50692\n23395 49257\n32411 47248\n1117 16959\n51526 72347\n31862 82428\n7140 45428\n13897 37819\n54548 87590\n58563 62615\n50226 90947\n25611 43372\n8274 16335\n13463 71338\n22352 72552\n2671 38276\n16165 54076\n94616 97148\n8446 99945\n40691 96100\n25573 62832\n3856 53071\n33720 40467\n19708 89547\n8584 72943\n43883 70166\n26313 94230\n3778 14090\n46220 99613\n77216 83382\n11860 90271\n49162 56133\n1459 33288\n22607 44550\n3906 80359\n24840 44454\n6219 73768\n61336 95021\n47902 87802\n21468 72306\n87917 97242\n67198 82057\n17342 95043\n74525 83920\n5691 61870\n13064 71619\n35837 99944\n43038 78798\n54943 80400\n51368 93119\n20086 79185\n46352 88007\n62171 78036\n41154 41991\n4613 26361\n35509 73803\n14491 74483\n29560 44517\n9208 26379\n27939 53382\n15358 25307\n67387 94433\n44052 67434\n71751 92327\n44511 52998\n45153 72912\n31318 90324\n8188 47304\n78179 97920\n4953 70780\n82283 93271\n58127 86319\n14740 47413\n20338 77436\n17260 98079\n2881 97599\n29219 62443\n29769 68428\n29284 69609\n68273 75880\n30369 71228\n56198 58888\n74020 77295\n55005 61840\n27330 64767\n73264 96798\n37703 38088\n6011 52606\n23169 38191\n71040 87272\n3198 6371\n15733 87014\n59145 62096\n18310 28860\n14882 36181\n54129 61860\n48506 57118\n54991 98048\n22679 44827\n30332 86259\n59995 86207\n34757 66973\n27689 51976\n30932 59883\n51471 61409\n15154 50218\n10158 95446\n73438 83933\n3493 94858\n35978 66340\n79522 99125\n42265 95778\n10914 99232\n51545 73439\n6862 86102\n12340 19880\n22940 28782\n4837 89305\n40976 54916\n58477 70752\n29766 33861\n13625 59305\n3840 55257\n51090 77757\n58775 63445\n28351 35402\n24168 28942\n74828 88205\n20667 80565\n6072 68657\n1152 49142\n26145 40518\n43944 50189\n62229 98147\n19210 87004\n24398 41081\n5612 96087\n31839 90350\n18509 65451\n22992 58139\n61592 76449\n34146 47897\n3833 49357\n69497 73260\n54072 69103\n15061 31738\n11397 24257\n18843 53596\n61616 78574\n18943 92265\n68274 91614\n24019 56335\n57400 61960\n42994 66618\n6694 65077\n22946 72859\n62721 79679\n18892 59646\n36536 73531\n12929 48734\n12388 27263\n84399 93521\n27333 31636\n55916 75600\n36040 66011\n73114 91339\n4311 12491\n68658 70200\n27850 31023\n871 89955\n15723 74652\n7409 46527\n31345 63003\n31870 94299\n73783 90220\n11596 14903\n13472 79793\n24619 92989\n34712 48587\n29907 91369\n36029 58644\n21942 64946\n15126 90416\n8161 36251\n49252 67699\n2790 92699\n77639 82234\n31478 90819\n72325 74721\n78043 91171\n30894 62003\n62314 68950\n31999 66849\n58200 76654\n32169 97888\n17852 74621\n21363 49165\n23708 48692\n2065 20358\n98832 98890\n73931 82103\n62599 65434\n37061 87870\n86154 87528\n38388 79134\n62988 93370\n15496 61365\n49428 82884\n33442 77320\n18210 88209\n32514 44997\n14961 70637\n36551 71880\n5274 26242\n22782 69351\n23353 84707\n2861 55383\n89391 96139\n57580 68433\n47336 92958\n34082 76439\n8880 12400\n64310 76369\n2542 92884\n91030 92113\n4509 58858\n2160 49927\n23367 96705\n25273 37073\n60921 93040\n18114 89474\n32136 32309\n3710 32164\n59902 73117\n3314 56807\n23989 97319\n86080 94731\n2320 17439\n32457 41583\n7975 78816\n5605 50737\n18089 43695\n43591 99543\n57841 97138\n24421 59570\n8710 85296\n20285 56037\n47733 58586\n16542 37258\n40668 84883\n25084 98684\n4075 63901\n5783 76547\n51575 86100\n8633 78692\n7822 8210\n62434 85206\n46537 77001\n15626 48662\n84099 98551\n16797 26777\n18998 56469\n13727 50978\n79243 88674\n2023 68172\n9420 81946\n75941 96379\n6620 9877\n77105 94630\n22415 76894\n70634 98906\n58185 66692\n9600 94520\n63765 83475\n14799 74778\n11857 55566\n70036 82950\n104 80912\n42570 47769\n3003 8508\n3252 73392\n49336 66939\n20028 60252\n64910 69515\n63874 96066\n10846 50219\n35109 75691\n25560 91648\n42283 94261\n11622 77848\n88086 93537\n18921 56387\n31332 60603\n462 44749\n6472 77914\n24941 34412\n42049 52155\n2195 42401\n6329 86015\n8339 49225\n90345 91528\n962 27468\n5900 32683\n24146 38552\n14253 25093\n5518 73598\n88835 97372\n36666 53437\n43972 66989\n30454 87936\n70353 82384\n30963 84258\n12332 54201\n22840 53020\n67094 87319\n61247 70530\n9967 44917\n4120 43274\n18592 68599\n25864 75250\n54230 91634\n40951 97874\n727 45126\n63605 90619\n2928 10873\n31600 97193\n47887 61459\n15479 74104\n37613 72312\n80900 91303\n33318 89967\n73644 74118\n47365 97293\n25983 63870\n44808 71147\n1273 7812\n11041 86914\n12167 68826\n34443 76744\n25145 46108\n11099 27306\n60117 90228\n50962 91914\n76329 91862\n86269 88052\n31095 95374\n33970 37502\n3628 97337\n51097 71850\n65905 98326\n14094 91915\n15000 20322\n38923 77582\n152 9074\n3322 79650\n60633 98440\n60499 68521\n96391 96578\n4903 95004\n16242 17154\n12824 13886\n31146 64437\n60582 64944\n23286 48273\n7762 34641\n28723 92040\n26857 49716\n86515 88488\n653 86697\n43518 50190\n10314 94314\n45616 67502\n4176 59117\n56755 61705\n48727 73061\n14140 84385\n58107 60834\n48230 61829\n72591 88941\n590 43876\n76453 92680\n83605 89481\n70407 93031\n19706 76545\n47245 76074\n13955 17002\n84709 85785\n8137 23506\n50879 73194\n5948 19893\n1570 84050\n40553 79661\n59808 63017\n13454 55962\n42562 72024\n7329 71142\n5619 44830\n71371 79480\n12712 63016\n27650 71117\n5283 69168\n49436 63025\n13686 85136\n6803 98733\n23192 94610\n74717 83858\n7295 22017\n4073 19491\n1579 48030\n25068 89023\n26130 39156\n32034 54946\n36793 50924\n3554 69485\n2373 63606\n7898 81647\n16991 22456\n297 99156\n64472 84441\n18013 59704\n4840 46679\n18471 68846\n39753 50172\n5096 38739\n42427 81974\n44183 47007\n65405 91023\n91562 91845\n82241 96433\n66617 98447\n39569 85583\n63953 65504\n32016 89139\n24769 67374\n9490 78565\n58930 73956\n27128 71715\n25560 68563\n33688 95815\n17667 67710\n7368 79738\n72856 86548\n13353 76454\n39066 99801\n39118 99337\n10188 79213\n66906 89786\n48081 75320\n82082 93471\n1535 39863\n46889 82511\n6659 28151\n16644 87610\n28583 50419\n17012 92797\n60751 92821\n16648 61628\n39297 58546\n20500 52940\n33956 72427\n17580 26605\n22507 23582\n38304 72161\n10903 30194\n47811 74276\n74280 77583\n17096 66005\n41477 48990\n5200 90847\n80877 83601\n18681 76915\n9785 19043\n57460 95435\n12076 47995\n23264 63899\n19949 93893\n14670 20494\n29409 55920\n18891 91088\n67597 92563\n7197 69049\n38302 55073\n82224 89015\n53095 73881\n24669 51137\n8998 63662\n9266 83468\n11719 71341\n5299 13197\n10940 66848\n57295 97392\n17820 84517\n28354 30187\n50685 79703\n70847 90710\n41904 89046\n75614 83955\n26751 75520\n49923 50418\n77189 92746\n26031 32014\n2294 9222\n29494 61143\n16662 83939\n5144 45068\n29174 46524\n77697 95485\n33596 58053\n61543 77296\n68118 79391\n38184 85747\n22012 80102\n33366 42210\n54832 98671\n49253 64895\n34926 43314\n33448 56430\n56496 79900\n35536 44788\n5592 26653\n16709 99648\n46620 69950\n22934 69196\n44378 68255\n59122 85333\n17899 95747\n26052 46691\n27477 75827\n47404 99539\n6237 55490\n52256 59768\n85388 99547\n94134 98903\n14349 22370\n7403 39305\n11583 89706\n15592 36321\n2480 14118\n68624 86558\n5377 56402\n12713 43513\n42883 95817\n42275 95957\n39779 61978\n44637 44696\n61751 85694\n38227 50157\n25382 83580\n31884 58465\n39181 69393\n6879 34397\n385 19033\n26747 72705\n10801 26669\n43571 47337\n28150 29393\n39265 46876\n58811 95268\n48893 70094\n7736 59755\n10793 70677\n4421 65935\n6346 38246\n74211 84309\n7152 87418\n75202 87214\n38084 38753\n6637 90174\n62534 91674\n14784 28761\n8376 33684\n62488 72787\n59349 89410\n48627 82738\n67656 96874\n8438 18000\n9474 29968\n27701 58692\n27630 68668\n35329 53316\n75947 81982\n33835 38510\n53493 90711\n67104 84925\n6494 90532\n13546 94549\n44049 44643\n22634 53480\n16076 82756\n44949 96997\n42550 47654\n20360 23637\n26035 35628\n16699 79318\n89781 90212\n39020 43379\n19637 22852\n8547 65323\n21956 61614\n13453 33597\n59440 93440\n77579 98562\n30924 86189\n39623 98304\n43148 59545\n46571 47538\n17990 38753\n13581 72289\n34767 77937\n196 8424\n65337 70105\n6202 81161\n48007 95417\n19817 45984\n67851 88361\n28148 73428\n17210 34157\n1377 38821\n64396 69131\n5871 18134\n13695 71165\n63354 84684\n72047 83286\n59562 62101\n4961 61854\n16236 20338\n28339 42543\n41730 73466\n47072 89639\n21891 57936\n71754 96005\n20504 97648\n68506 98738\n39646 42175\n34110 60618\n43571 82118\n18064 99517\n18851 97327\n43789 61192\n12319 29599\n46408 78431\n8782 10222\n7138 66278\n62212 90175\n16534 46513\n51573 90469\n74801 78611\n39760 94932\n66804 96087\n969 75555\n70917 79364\n62894 90035\n64517 70752\n47533 75238\n36628 97664\n40549 69120\n54606 79574\n50866 96958\n21206 34796\n2944 62229\n55882 58830\n14635 20542\n27217 67577\n66895 69423\n20625 21612\n50625 60245\n74805 75788\n2575 23228\n24420 51030\n26865 59971\n5 34473\n16417 22259\n49745 99422\n5218 43927\n1919 2922\n56636 58004\n29379 62147\n4263 10800\n12506 70053\n22879 69446\n19373 70633\n17385 48422\n56351 84617\n26677 71635\n30100 51433\n13121 89896\n16638 36718\n8836 35465\n43792 81686\n6699 30301\n89586 96503\n26967 32265\n809 97672\n11507 92016\n14129 87526\n26011 60670\n12389 68339\n5315 50927\n57715 83059\n15925 71444\n19592 81561\n15996 20099\n25744 83174\n17822 71248\n4467 55543\n42835 44454\n27657 83723\n4054 46601\n5370 27630\n67936 70067\n28364 56214\n35580 46666\n15371 48578\n53463 62839\n63169 82444\n46329 81487\n5117 68900\n34580 55064\n63949 71395\n23598 52528\n19211 86960\n11383 76650\n4068 15720\n47631 65542\n3597 87004\n48128 71976\n35055 67547\n11909 94643\n4047 4279\n66601 98690\n13466 89855\n12520 26302\n4702 78446\n39116 56165\n2503 56132\n18513 35331\n43889 60762\n23361 60506\n23088 84266\n24760 65167\n53870 57940\n28329 78597\n28287 29858\n25027 83071\n21263 36715\n61409 87513\n33512 34376\n36100 65991\n45425 68456\n21888 93339\n5230 46970\n26050 56705\n41051 91564\n27199 49855\n41514 89163\n34773 61891\n34770 99733\n4511 24184\n59446 98893\n17973 21021\n50609 66841\n44396 94522\n13979 28041\n23574 55928\n45926 51934\n16694 83188\n22814 31106\n12014 70052\n5924 37638\n24356 40213\n18761 33369\n24762 37682\n41257 42682\n69651 99738\n2152 4308\n30194 79472\n33431 66270\n3479 28519\n40855 77839\n36259 97058\n4694 88418\n19362 54957\n23159 42352\n34499 87766\n5420 37235\n14535 71197\n8805 93724\n55497 70142\n17598 62810\n57965 77491\n3497 49096\n1699 73420\n69181 81130\n1397 5111\n20841 87356\n45276 97788\n20275 91028\n48628 80556\n5718 99114\n71766 81097\n26309 46227\n25871 38330\n29408 62666\n29601 95597\n19846 80200\n2238 95709\n6142 31704\n20473 53293\n32460 65684\n46096 55611\n95809 97216\n24430 31283\n34767 76183\n20833 97868\n16009 84168\n53274 64554\n14252 65244\n26750 39877\n52764 84925\n22328 96933\n37523 93980\n11384 67649\n22145 83263\n1754 82462\n34933 89297\n26616 38618\n20201 53732\n42582 42953\n22580 53903\n22494 29754\n21728 82522\n12941 43493\n44900 85457\n59514 81449\n14261 92658\n2 35863\n25316 41627\n35748 94293\n2710 83882\n64435 81821\n14568 41950\n17970 40980\n62334 75672\n2993 87431\n82754 90776\n75988 85826\n97205 98933\n38052 46537\n38409 65958\n36097 73194\n15537 39926\n44423 96471\n23493 97416\n66466 73940\n35424 44670\n45168 84819\n59517 93867\n26123 29082\n48754 63270\n3945 40641\n5556 96238\n6687 94983\n30427 39478\n61008 91920\n23328 93878\n38799 64352\n15355 88036\n855 16799\n1951 14733\n62936 76345\n31277 76949\n27962 74294\n73265 77740\n30614 31194\n6475 82745\n30884 51392\n59931 79594\n9060 39582\n26754 79397\n8652 19807\n32381 97036\n12139 90215\n39972 75860\n68119 73066\n19880 94414\n11969 22364\n74474 98161\n19306 79829\n6658 53155\n74857 88669\n45530 71206\n10815 41072\n28919 31028\n41771 82063\n13516 80472\n1257 2846\n18846 44208\n23625 70675\n12069 83417\n6023 52473\n55458 59573\n52690 99796\n22419 65730\n25633 53200\n3740 52446\n30651 31420\n29492 50137\n39801 66560\n65951 94594\n40677 46455\n47973 61471\n8061 42866\n47973 96677\n50224 74393\n61139 63026\n67463 96587\n13462 65890\n9422 79577\n51692 79805\n41655 68285\n21737 38602\n24433 84711\n15862 58356\n38037 61341\n67293 82950\n20066 41483\n60605 62067\n14719 40661\n13897 40487\n8322 42230\n23936 71184\n10083 66346\n27997 97606\n6725 55419\n96763 99719\n6117 56554\n21924 56955\n41507 83230\n70261 93833\n92372 98465\n61864 79224\n26650 64195\n15865 23816\n46792 51672\n42851 93558\n10801 86867\n25870 69261\n24606 68057\n14084 30134\n81528 89598\n29065 60399\n805 16443\n17360 67259\n13138 45093\n36049 94479\n22993 51252\n18197 37555\n75 90071\n16559 19465\n41953 98920\n34261 58346\n34485 77348\n47 5274\n51953 86821\n40127 90483\n12523 33494\n48648 55100\n19218 76997\n20427 91213\n10357 14425\n45312 91792\n23964 51176\n42288 95448\n67027 77658\n85939 88787\n46390 56666\n33735 98538\n61708 63292\n81354 86711\n91235 95110\n6166 97684\n88954 92674\n34836 40406\n11653 33596\n65210 79032\n678 14016\n19326 72187\n13307 91688\n43653 88897\n64138 73375\n22523 64332\n47428 58515\n38974 77724\n24919 80687\n2971 72936\n82180 89402\n23827 96172\n36416 94260\n20979 34277\n87841 87966\n45622 48400\n2516 29246\n41504 72517\n17888 99193\n721 75198\n45456 87190\n54850 86599\n32064 65910\n30720 36486\n15825 92740\n17293 49025\n34400 92035\n19778 60329\n22027 80591\n17967 33577\n53101 68456\n41394 61559\n4328 92141\n39331 67991\n16820 88084\n47275 71181\n54132 94114\n49627 67701\n19772 52916\n3812 95864\n21792 42379\n23751 46432\n34676 77811\n11317 27781\n43162 80194\n22182 22444\n28398 78166\n13342 36398\n16037 52482\n62819 89506\n36428 54789\n9258 13488\n40038 89231\n32526 75159\n22189 72948\n86154 98625\n20687 82575\n6801 97597\n5268 24015\n1997 79597\n42573 59959\n9242 36038\n8152 32710\n15822 34971\n52157 95531\n40346 69287\n20480 76581\n2530 43976\n63583 76251\n24326 57781\n29760 52976\n27960 86193\n61182 93772\n18878 49314\n50647 99017\n52992 53968\n69767 79767\n24583 66180\n1881 26848\n15488 79100\n37427 67399\n56069 99841\n411 15294\n48301 68301\n27685 40749\n4457 62116\n48767 77626\n15965 90182\n22952 95689\n7318 23869\n45057 52287\n32978 38485\n20360 61478\n60068 62057\n54939 58927\n4189 70450\n15082 98969\n18849 93524\n7649 66252\n73797 90063\n610 55354\n45287 70205\n15228 48464\n42601 72470\n16191 76803\n80791 83374\n26460 66537\n36440 44978\n23809 87820\n24648 86599\n18611 47103\n4655 79011\n21630 86942\n32459 97474\n20677 74471\n17727 40142\n11911 12351\n11470 87518\n18177 52222\n3267 25848\n10371 72489\n47021 76608\n24762 67995\n46848 53019\n44088 46744\n63083 75036\n48386 52358\n70045 83452\n84153 97089\n41942 51089\n71725 86841\n2975 70541\n31743 73011\n81792 83075\n573 95401\n55391 66387\n8395 84604\n1592 61046\n36850 99581\n43704 66247\n34416 62957\n55403 99697\n42535 46496\n43707 83276\n8511 62360\n4528 66564\n75182 85388\n21193 72766\n36037 92871\n29531 49861\n8640 34608\n17034 44183\n43792 58149\n20353 32503\n24740 90290\n51684 58544\n15193 93611\n20204 96473\n23991 46391\n2871 13847\n25938 53815\n13258 18548\n23114 33251\n76293 92689\n3500 45162\n40733 68695\n32204 60890\n22188 81929\n2796 8203\n48037 70875\n32710 84633\n17263 44874\n8733 32275\n95104 96367\n36397 65235\n40596 98758\n18246 25512\n13014 66516\n1984 90685\n65839 88597\n70939 80090\n54228 59317\n28582 39802\n1859 40820\n45024 65372\n66354 89164\n20994 30963\n4256 59686\n36615 50580\n11866 23758\n47990 53464\n52867 84182\n14983 26923\n1684 77695\n20644 26360\n2542 67557\n40967 85323\n18973 82748\n56044 91075\n17349 24191\n60820 82137\n207 99654\n95413 99159\n63133 91023\n45153 94484\n30704 79871\n26903 36827\n3656 61859\n9601 92939\n18848 72737\n29333 45426\n19310 79879\n17180 28721\n32344 97573\n26059 66967\n33671 52358\n27220 76589\n39685 44701\n49016 97267\n7870 75365\n13427 66404\n19947 25326\n24697 94880\n42585 64404\n28306 87774\n61705 83434\n36268 51676\n55468 71816\n23029 73022\n34196 55747\n63245 93817\n49601 68298\n10744 87256\n53702 69155\n10843 23945\n15866 58141\n35789 89055\n32589 82122\n63791 75400\n35599 87501\n46892 70696\n18473 47657\n17609 54061\n61628 62289\n35962 74252\n47911 75375\n36829 84626\n19841 23541\n76623 78060\n61324 79125\n57967 59832\n28678 85721\n21576 57579\n2033 93945\n93508 99407\n11289 77053\n85376 93670\n27708 93587\n9808 27313\n16193 67350\n33935 91659\n55123 58939\n14004 97887\n36374 60910\n68951 92365\n56082 99113\n41428 53877\n22818 92157\n26995 71266\n11258 55418\n78537 84043\n21153 32318\n58929 66805\n17257 79467\n55738 79890\n16851 77075\n49794 61224\n922 50758\n39334 89024\n21011 60311\n7413 58186\n5915 55523\n69338 93732\n4213 56727\n65501 72364\n31037 34405\n19469 71281\n23122 36158\n8478 13477\n1865 75770\n56622 64480\n46829 68203\n625 85058\n21352 52939\n60067 96667\n1398 83786\n5306 20046\n2157 19319\n49252 61494\n18293 40778\n38130 83596\n51436 95434\n10032 88827\n35463 46976\n49360 78299\n2489 77968\n12800 50469\n39240 77637\n53022 81731\n40533 98547\n71599 99696\n18326 54558\n61646 95217\n69129 86632\n77344 78303\n30863 74197\n65137 76039\n78165 80917\n25408 50946\n51826 92037\n7047 79521\n1766 14985\n13762 32417\n5738 85773\n81299 91604\n12985 50026\n49098 65471\n4760 10994\n60034 80320\n17700 74400\n42040 78381\n29790 38107\n16159 50563\n9590 36246\n8500 49310\n46217 69652\n39143 52496\n44272 88997\n992 56273\n54388 95037\n58895 96478\n44595 53333\n9951 88125\n44282 71069\n1128 92907\n57225 84596\n36732 86030\n43906 57022\n4902 41810\n20470 47064\n18134 87053\n7472 96614\n7065 70188\n62438 94039\n22953 23791\n84598 89729\n4874 23418\n52887 66881\n50132 56558\n20113 63159\n17453 34714\n69576 77236\n72623 79936\n22187 78057\n6021 24791\n32948 78330\n16070 42624\n35374 55970\n77257 99473\n29840 82192\n24931 36488\n35481 51246\n14408 20872\n38829 82570\n26748 47550\n15991 69936\n31081 61627\n39060 46374\n40495 93194\n20265 53440\n4337 45570\n60827 99312\n1015 60340\n38903 81850\n17356 78778\n2232 45528\n7957 86495\n40202 80050\n43651 80435\n63799 92194\n40156 46447\n73624 98691\n64820 79147\n25977 78372\n19794 35508\n3758 86131\n38202 73282\n65565 96936\n9842 88217\n10343 22234\n21488 24028\n23693 42985\n14500 63403\n4007 68643\n34063 97233\n18192 61547\n12015 16400\n58867 95337\n6418 93345\n85600 99741\n60616 95431\n4152 61223\n36305 47120\n18206 95003\n54964 89334\n38897 58221\n52767 56941\n48550 79446\n1751 84415\n30193 32191\n44402 97466\n57424 79644\n47633 76478\n37215 42829\n47146 76760\n2281 80674\n7349 52615\n14392 19668\n14662 30725\n56098 58774\n7283 41917\n41651 80825\n3322 72053\n90715 97947\n1514 56599\n5496 13893\n17127 73423\n9651 17725\n94361 97284\n70037 99352\n30518 79982\n90600 91989\n71876 75246\n80519 94557\n10415 35289\n8648 67177\n6649 86905\n30810 92099\n16512 73285\n40938 63952\n11506 15127\n3576 4064\n64809 89050\n73566 95463\n73752 83567\n39827 82046\n33280 71511\n30559 98237\n3087 72872\n31563 35259\n55195 97809\n3595 39447\n35338 40327\n27890 54618\n9501 65901\n15955 66196\n2638 17410\n3485 72351\n38923 65743\n27335 81180\n22347 82305\n24315 90964\n4398 84616\n15189 17243\n8710 72795\n73441 77758\n36391 96873\n13241 61817\n42669 88383\n15392 43883\n72442 98897\n64219 95271\n38233 40604\n42684 78963\n30379 42134\n72826 81203\n21047 45838\n44370 80700\n14831 47096\n8752 63498\n57487 92759\n29844 60334\n7340 69050\n53185 97684\n10695 81371\n31658 57445\n98066 98545\n19120 71806\n20596 89328\n59650 60058\n23119 84415\n25295 84876\n49995 64923\n30582 87017\n63929 67097\n31651 79259\n2121 43131\n44836 78783\n22601 83210\n66639 67397\n31762 51201\n12757 79516\n8895 79456\n31087 44703\n21494 92280\n27302 42463\n34437 81444\n27773 90915\n53704 73280\n60002 79682\n32611 64235\n78531 92181\n18943 82609\n56865 80379\n48080 48626\n55591 62109\n75684 96688\n44283 67605\n21373 78715\n19463 70593\n12863 56063\n85777 89454\n49637 72918\n48281 96650\n6309 9062\n71814 81697\n1149 89353\n4871 20869\n36743 47774\n30712 56202\n67775 93688\n40117 90677\n6770 38734\n78782 87772\n17698 80639\n32209 77958\n80151 86645\n21624 23795\n28940 89475\n22260 40161\n39851 64487\n12675 17227\n80425 99249\n9716 22423\n18148 85422\n31057 53361\n27646 85567\n66815 93224\n15258 47687\n9740 64177\n93593 98612\n31724 85423\n24921 47946\n1368 48725\n11614 24192\n29145 53562\n496 49580\n12753 32140\n3 94813\n82555 90973\n17097 37267\n58463 93397\n5223 6195\n36755 99964\n7280 96180\n5041 44850\n74570 94777\n22198 34893\n70600 79523\n36770 84755\n70266 81721\n67645 67793\n33606 63381\n1886 86982\n25741 89801\n66188 93095\n41091 44806\n13939 78026\n36293 55588\n53822 56211\n17021 92219\n22922 89732\n25925 27803\n1244 50525\n27360 70884\n33264 33381\n4719 70224\n58911 81107\n31089 72387\n43917 96102\n14629 27630\n45047 71477\n17960 35683\n38576 46233\n30504 53936\n4108 15175\n16316 99672\n46862 83350\n12281 14470\n39396 66488\n20329 54393\n13213 60018\n23589 90370\n60023 60086\n25875 29496\n25290 49072\n17565 31673\n5632 96268\n25527 93824\n8957 80797\n16038 62484\n42129 75309\n3384 63822\n64983 81328\n27760 94088\n83722 89892\n40091 42578\n7839 37556\n40520 78953\n51558 79999\n47534 59341\n33505 98653\n17429 97103\n27529 65599\n17456 78379\n2450 30356\n29054 65948\n5569 67223\n36192 88048\n25675 52635\n31684 85115\n29563 62131\n2469 10593\n33096 48912\n19770 28994\n8042 37711\n59259 82091\n66829 87118\n90989 98210\n1794 44532\n65675 78540\n39 61763\n7413 65295\n19364 97719\n3981 22697\n24270 65353\n10747 65709\n40698 75339\n56775 78964\n40876 96599\n72635 84798\n2810 17127\n23592 49993\n8354 31120\n9490 37520\n15391 42052\n50281 85655\n51003 55612\n11764 79470\n31693 65200\n16876 83548\n6661 41477\n14420 73536\n15592 44563\n3539 12221\n40167 42501\n9124 59275\n42484 47058\n22220 64662\n40564 62114\n19552 47726\n42251 58129\n37044 91509\n7867 97578\n61811 88608\n187 10959\n25428 76744\n49416 95919\n25899 71286\n21441 54941\n72752 78425\n67977 80192\n14607 77829\n15939 67844\n34791 90549\n51875 63416\n55453 61740\n8399 14641\n58757 73811\n64412 90545\n52539 69266\n30695 40220\n10464 61896\n31116 36437\n57492 63227\n12220 39007\n10608 87838\n13745 27479\n42095 57853\n21101 76182\n12368 83204\n1810 85781\n15486 82254\n44197 56057\n14023 76299\n9393 11888\n24448 93901\n48191 69860\n11777 19883\n15624 96808\n36674 72293\n76727 83157\n12746 42995\n51320 91191\n45684 97708\n26910 59615\n14997 57772\n52541 96894\n28596 29604\n7026 65286\n15983 29791\n46900 65109\n52306 92602\n3317 33010\n31817 38197\n44165 87203\n79630 83275\n47294 67862\n26481 65545\n14407 34011\n9461 9926\n988 90000\n20836 98045\n14891 44884\n34068 72729\n67040 99988\n24703 60642\n2274 81467\n24872 77095\n25544 69944\n7506 38912\n50254 58299\n30893 74932\n2139 51560\n64656 66473\n47626 88455\n25202 80549\n71512 87825\n58857 64664\n3953 88881\n14302 81782\n26148 66629\n42917 52233\n13449 91491\n23613 40423\n30767 34591\n60378 91563\n11727 38894\n79135 94546\n49903 61783\n58457 77751\n31480 74292\n71353 76428\n72080 78985\n46105 93846\n24588 50339\n34269 86507\n43462 52498\n44695 72493\n31914 87455\n41547 98721\n26127 48973\n37498 48901\n57216 76409\n18064 92153\n50455 58453\n89648 99166\n8168 68119\n36508 49842\n61652 86593\n2795 83838\n46370 80361\n11730 44125\n23250 36385\n30598 73183\n38864 97464\n66604 81742\n5639 57698\n7877 50183\n14387 55160\n22728 41212\n4550 39590\n32221 40961\n68097 80856\n21690 66279\n46381 82883\n73905 97755\n74043 94371\n21060 33348\n51431 59812\n32743 82721\n17200 55464\n56246 68257\n9910 13867\n9748 75161\n38666 66914\n61427 93665\n28405 67493\n78112 82870\n13833 63449\n24364 89035\n9014 71208\n21895 85303\n52983 53746\n35948 53923\n5469 56757\n28976 40519\n20026 84813\n21802 70839\n61872 72900\n52017 69100\n7249 20601\n23303 70741\n18939 96090\n1746 69750\n19050 51653\n7471 15496\n9895 11937\n9755 32854\n19683 34931\n49238 59930\n194 4800\n30709 53837\n53489 91060\n46170 47469\n22759 99686\n56063 78377\n817 56641\n19601 72530\n22780 97525\n32559 93652\n4491 51416\n37046 56623\n6062 22261\n59834 87173\n33710 93487\n50513 76213\n39040 42339\n11289 65234\n37340 54084\n9422 52460\n4480 89083\n1129 3641\n8555 25776\n33048 33257\n24725 33365\n36915 38522\n19416 29822\n69312 73683\n2697 39579\n26189 91771\n27851 87853\n255 43448\n42928 79605\n15975 50783\n41347 77392\n5595 23419\n60041 63231\n15701 52000\n5826 25868\n66325 93643\n2024 27705\n39621 96149\n74272 82567\n20895 67784\n10231 58337\n80096 81356\n4847 51210\n70156 89193\n64963 83763\n19686 53329\n58714 70175\n19278 62600\n22880 86206\n3371 62233\n19916 46518\n38094 42601\n65605 90839\n64572 96297\n14289 85637\n20586 24321\n14850 54314\n10311 65164\n70384 75508\n54 75609\n25867 89035\n15276 27869\n13037 59169\n49927 92865\n2231 47719\n39719 60777\n2567 61000\n32897 80792\n5601 75691\n35725 65734\n5290 54885\n2693 51861\n24348 27726\n7758 64550\n79816 98819\n57975 70780\n1495 97820\n77090 98193\n31741 73992\n45619 98246\n91407 98947\n17869 76463\n49877 57301\n8293 62237\n39961 52372\n81725 88636\n27913 57507\n31329 57839\n20884 65334\n53903 62536\n12827 16057\n46474 51295\n9750 18330\n25579 51024\n44554 87782\n77480 87024\n14911 86115\n35691 64923\n63201 72106\n14690 78632\n68225 69941\n95585 98167\n78831 85154\n15865 28661\n12821 94900\n9456 43421\n24526 97425\n29686 32722\n15405 60906\n80067 95702\n47938 93596\n4130 9336\n8553 95444\n35317 96076\n19408 25853\n27362 57369\n26541 66042\n66552 72749\n37072 37324\n42937 66251\n83631 83769\n8062 65108\n18469 70583\n58594 64710\n38219 88897\n23902 67382\n9285 78713\n14855 60443\n24062 27596\n5325 22704\n60299 70287\n28383 95359\n69080 74334\n52670 62643\n48746 76174\n73860 93303\n24039 30461\n36415 48853\n27050 35654\n91557 97313\n91613 94745\n28725 49663\n22974 52065\n11807 15473\n11344 11465\n726 29355\n1119 73006\n64554 67029\n9769 95947\n7701 88339\n8239 50882\n80856 94009\n8493 35251\n60667 79160\n7344 92257\n16085 53975\n25331 73910\n21996 32516\n51619 58787\n202 50843\n4738 38161\n23331 31508\n9823 37139\n46082 83720\n31268 95813\n54867 83932\n1869 62037\n20917 28899\n22396 71667\n23339 95058\n19092 48594\n7350 45650\n29600 72628\n51962 56102\n64084 88937\n60004 72544\n13733 71813\n35425 75372\n43190 72567\n61144 80397\n47451 54005\n76854 89182\n30664 97816\n83310 85285\n60873 94524\n5065 22230\n33630 61057\n65119 65793\n29554 89475\n37229 42040\n4824 42195\n18588 79289\n41839 96368\n68207 76814\n50826 75047\n96079 96549\n3422 26634\n16663 83523\n25097 42956\n40990 50480\n74882 96781\n28627 62895\n27658 70921\n28358 79874\n30197 79602\n54250 80491\n67314 68133\n46139 88415\n44660 58569\n17528 81785\n29565 82353\n6673 14372\n8809 58136\n49752 92237\n45475 52336\n52201 75800\n80990 93340\n49480 71479\n34734 62788\n44129 77536\n69174 96808\n6960 74991\n20344 59082\n24751 67187\n18104 32098\n74308 80171\n17149 99175\n66679 73365\n9454 78345\n11454 69852\n8271 54976\n73303 87772\n20519 73221\n43597 95043\n72674 93415\n90754 97402\n24239 73163\n8034 62480\n78892 92927\n3160 97873\n3952 59497\n25786 81298\n2515 42921\n33869 43907\n53830 62090\n5242 31892\n28381 73318\n16434 66255\n32623 56948\n72628 89681\n65521 97354\n14475 41027\n65959 79258\n47032 73618\n75362 88011\n37290 52717\n26797 62893\n3013 65257\n1706 5481\n2799 92775\n48539 67182\n1412 53945\n34172 68104\n67865 86107\n29197 82876\n41052 57412\n35007 60010\n139 5665\n68812 87942\n19440 74169\n43007 77683\n53149 77642\n69222 94195\n26707 47321\n34091 86296\n84272 87067\n46970 86073\n38172 64607\n60634 82524\n30226 87298\n32821 76265\n15483 16550\n859 9829\n33659 73889\n35756 75637\n44641 97399\n58033 97576\n22615 73015\n36825 67958\n67303 83113\n18929 39607\n1034 40667\n11817 16375\n39187 52613\n40870 89244\n7875 49574\n77959 95545\n1200 19579\n27053 31925\n1066 96720\n47525 51892\n33135 56116\n4698 20842\n6394 18645\n26646 70253\n26271 93770\n17459 60362\n3651 80010\n10864 11769\n76364 87249\n16407 97561\n4217 97240\n57218 68263\n45320 99331\n13939 81407\n1046 64049\n32713 88960\n21798 78660\n51726 59007\n61289 61697\n2349 29821\n63945 89868\n26406 84673\n35068 37874\n29337 44694\n27778 34949\n23225 67502\n40296 67747\n1788 92128\n12819 37482\n1123 5242\n17777 71660\n51807 73785\n22453 37388\n2382 24958\n5533 52670\n7507 54964\n3271 55474\n70307 75730\n85535 90219\n39414 68159\n6569 60831\n68784 97515\n11805 29465\n10182 18278\n96203 97329\n6779 37811\n4253 25413\n75125 76957\n53084 89068\n4208 20128\n20713 74911\n70732 87481\n11175 60876\n62027 67795\n24164 83395\n67452 73212\n38675 92428\n17431 87442\n37485 40194\n43246 52820\n4446 76934\n5984 45773\n84266 97176\n47733 76084\n19567 26760\n50284 60788\n58835 87334\n36122 60060\n38660 43179\n5647 9716\n69779 83998\n28339 45442\n9609 76538\n39107 92905\n65223 95573\n54149 62937\n51239 92819\n54180 98834\n5687 9127\n49018 68634\n11885 85568\n39636 72803\n13127 97887\n25052 85847\n51092 92754\n19517 36476\n89177 95129\n7195 24074\n24112 93506\n54383 79017\n33963 88761\n33572 96705\n18026 50654\n61791 74926\n46677 66495\n40541 73167\n38415 81566\n16647 54263\n8784 34307\n13871 16394\n29500 66405\n57952 65518\n34994 49166\n37205 39957\n866 6638\n45687 78072\n17935 70474\n62169 78335\n31552 70945\n33199 60941\n4702 61695\n48502 60689\n5554 20354\n54430 92302\n7503 87484\n46790 76490\n60792 70564\n9853 91370\n57087 88650\n51037 88414\n26379 54583\n141 53917\n28615 37936\n65289 74554\n16997 25452\n7254 96626\n1883 84475\n28197 57936\n15666 39557\n882 77297\n54975 65098\n21939 63763\n35705 71774\n14277 67922\n65442 77419\n80059 83868\n3749 45444\n21565 56068\n20963 77745\n19416 42919\n42619 97940\n12837 60785\n31191 72405\n22881 29090\n37775 43336\n93745 95671\n13140 64910\n18017 54840\n24795 98103\n81866 91529\n59175 79751\n29466 34758\n71444 75775\n47505 97980\n44632 86981\n67299 69211\n97061 97542\n22839 47872\n24066 45554\n45162 81452\n1650 38485\n63711 86159\n54656 62316\n18716 69633\n3094 98027\n38533 43166\n60544 61114\n90850 91351\n11938 31785\n4117 96190\n58513 93022\n10401 57963\n31853 74444\n81174 87954\n91105 97944\n7452 17844\n14809 57085\n42336 69665\n4383 21852\n32068 36336\n26851 86754\n9908 40204\n6887 91269\n10766 88152\n35130 56547\n72399 97053\n5370 96110\n72400 80527\n56971 98378\n69310 95403\n77892 85120\n31483 81494\n49818 76791\n1248 72503\n37446 68190\n9163 74112\n13098 91518\n32871 33523\n59371 63386\n97486 98263\n37281 44696\n24916 54023\n12705 78306\n66106 87051\n2135 25517\n22250 64644\n30945 75458\n83176 97637\n16808 97463\n56709 69940\n53215 84390\n21870 59703\n1493 43211\n65312 84368\n6487 63642\n13851 65136\n34217 43188\n12369 29726\n479 30326\n14422 37136\n29346 53683\n51153 57145\n6373 76225\n34615 37691\n3200 3788\n21753 34369\n72162 84333\n40496 80454\n22060 44061\n66607 80497\n4416 47127\n36615 48186\n43809 84298\n9670 14553\n56370 85718\n7226 14735\n5478 37163\n67307 86256\n15018 75031\n2784 56227\n41298 56980\n2636 72755\n71213 78766\n37584 91674\n44462 69989\n40327 73464\n22244 85594\n1752 35667\n57398 62463\n60192 93926\n3511 50523\n13793 83037\n38261 47810\n29294 40210\n1970 50969\n26625 74131\n2236 32177\n14077 93734\n38305 55028\n3325 14926\n33169 75756\n3034 5658\n8831 26499\n10881 43541\n40884 73460\n24963 41651\n33429 95122\n29502 40921\n17796 53446\n9257 17256\n80739 97438\n37524 50516\n17577 76352\n46880 86636\n28379 33744\n18156 77147\n18721 82564\n1121 56067\n21295 26151\n21357 94173\n6686 39549\n46399 88773\n54968 86049\n5811 45304\n32270 48973\n20673 91110\n85316 99038\n86789 91006\n56545 63088\n82210 85650\n12810 68813\n20793 83826\n34921 38053\n5782 87544\n30037 46160\n10779 29286\n35675 56915\n62957 65615\n88380 93652\n34453 71457\n5818 62770\n29968 79264\n33919 70056\n22879 61646\n46029 58873\n2088 43883\n10194 25279\n20793 94924\n46424 47195\n37128 74542\n26411 30095\n37908 67632\n50376 53655\n591 86886\n33715 64842\n15920 35803\n28344 66778\n42456 77306\n55385 56376\n21915 43608\n1007 85182\n48292 91659\n51988 88119\n9702 98931\n39920 54546\n25801 26040\n35013 73274\n14615 92222\n8952 63386\n39287 64319\n13943 55507\n62042 76603\n27535 94362\n19731 23473\n6065 75826\n64375 72677\n11752 16630\n37654 45743\n82263 93488\n49651 99992\n34081 72626\n9595 24869\n57534 62374\n54880 66064\n38020 60131\n21774 44683\n22423 39770\n27890 75556\n21879 98309\n86940 96896\n61560 80729\n60570 82213\n61047 87961\n44919 98598\n27700 54035\n48423 61543\n15170 40864\n1348 38917\n43357 55571\n16630 94014\n42582 97025\n61147 66510\n16830 85374\n25079 33477\n46225 76897\n37222 51745\n12034 79782\n53058 79435\n11238 75740\n23493 38320\n65929 66152\n11422 36612\n15972 46090\n18065 26809\n54239 61612\n34449 85439\n52807 53545\n19574 28271\n57942 93741\n76377 84732\n68523 72598\n17032 79586\n25861 54842\n6022 17689\n51154 55544\n7260 10232\n24931 57235\n8523 38707\n37968 69719\n33727 34228\n2049 5312\n58279 77759\n3910 19746\n10328 75797\n39011 44480\n18690 30512\n91621 94089\n5448 39161\n39908 62719\n1637 46785\n45012 73845\n89354 96976\n46928 73338\n15976 59662\n21749 34395\n43751 66836\n17437 62853\n5015 24639\n53925 75914\n32518 57408\n4601 71782\n39881 81962\n29494 37915\n65245 93222\n18827 56005\n36921 65140\n14125 20790\n75434 95816\n22598 55410\n38309 61261\n11534 29627\n3567 71118\n33962 89770\n9831 56537\n73493 74412\n24714 61133\n16757 91446\n5870 44494\n12224 76790\n57663 82130\n19080 89395\n38128 54390\n68908 96886\n52058 56213\n7608 13187\n11501 83511\n65411 93444\n28953 81752\n32303 92252\n22011 69042\n59145 79556\n12895 52896\n96375 97622\n5390 19926\n4001 30387\n44531 57651\n54807 62630\n2422 82790\n8831 34387\n53103 74740\n12024 34476\n50564 76467\n30547 54798\n12475 47273\n6448 20892\n14513 48399\n11705 66972\n22315 48648\n15318 34173\n62630 83340\n82136 87495\n971 61458\n8315 27245\n4011 82696\n9924 90781\n14249 49369\n8114 68224\n15009 93002\n6808 85847\n81229 96021\n21721 54931\n59326 62450\n46590 55900\n62349 71419\n74298 85803\n49542 84189\n29636 31438\n27707 75233\n22656 36424\n38844 96440\n5659 39970\n28125 75460\n33474 75345\n45450 86057\n36959 89359\n26670 75451\n34081 91648\n3906 8062\n33300 94623\n64130 87448\n50794 58943\n34488 97725\n20285 99248\n17969 29382\n47333 56064\n32086 65346\n37157 59661\n228 52520\n16478 30218\n43851 92905\n73935 78468\n510 19115\n61889 66640\n20123 96062\n4063 21312\n45314 76686\n63366 86854\n55459 70633\n5556 24593\n2303 28742\n55002 89063\n5883 44687\n30517 75374\n24201 45088\n25423 57955\n69322 81119\n12215 36604\n45338 93920\n250 57599\n25981 54856\n23303 58196\n18690 81305\n35012 49546\n10954 43093\n14648 28205\n55144 96066\n2616 15156\n30186 88819\n31844 71986\n40155 51413\n24301 29068\n92673 97834\n74582 92011\n60740 65817\n22657 41953\n4126 81658\n7784 75965\n21111 28662\n59078 66389\n45990 54939\n43590 71085\n7588 47589\n51636 55959\n35699 93951\n65398 67841\n43638 78761\n17934 18025\n26290 62029\n47823 91499\n53981 63789\n6344 67681\n52332 56824\n554 9863\n1812 65332\n10660 52080\n33319 80471\n22009 30621\n48116 80132\n49866 56737\n16166 35896\n39188 66334\n81296 84667\n30739 71808\n3529 15779\n291 68127\n16413 61503\n5205 46406\n863 3477\n37655 58968\n29273 66687\n30732 87880\n76422 79724\n10756 78503\n31413 55028\n84157 84319\n25346 61588\n45271 89922\n81977 91951\n2662 22297\n82177 88329\n9558 80506\n86204 98897\n13409 63736\n26603 57201\n50654 95699\n86356 96436\n41890 86202\n24703 62863\n31514 81973\n15635 79878\n10487 37888\n14866 91620\n20682 96553\n35707 58283\n14789 76899\n21351 77920\n8632 17962\n18535 94405\n67115 78596\n59129 87759\n35219 58610\n7471 86116\n49696 68449\n47532 92919\n53881 96386\n38344 51858\n20494 90199\n14267 86056\n64452 90940\n7112 77180\n26881 87931\n4140 80295\n50766 63703\n45140 81626\n75450 91620\n9009 29914\n4905 62597\n79331 79597\n14587 18154\n49919 95331\n72975 85701\n75286 94220\n19069 66904\n68239 82414\n68395 73471\n59316 74455\n2722 77459\n27997 45986\n58895 59673\n42526 66560\n25219 42939\n36625 45178\n58405 96121\n45312 49074\n23148 25930\n30150 90209\n5570 32238\n28479 79388\n5622 92618\n11100 34784\n17189 59432\n29226 86106\n16813 57962\n24502 98466\n44363 45665\n35432 93180\n43470 54022\n12623 36712\n6079 37929\n64348 70683\n8157 65309\n35011 47020\n14116 83187\n19835 80788\n60620 81605\n1196 79626\n1731 3223\n10269 87987\n44947 65007\n12736 96508\n55958 81820\n15745 70816\n72873 74521\n29842 58768\n27888 30511\n56530 67967\n18302 35540\n7569 21564\n64783 97661\n19425 35155\n25890 72840\n35841 56509\n38215 49071\n2997 79122\n57044 71250\n33861 56706\n9523 63946\n20292 66048\n16776 97978\n42679 82483\n48842 64817\n10989 13767\n10188 72252\n1161 15696\n27554 80033\n51542 58254\n25819 87250\n30934 85534\n56765 60284\n22323 33255\n68866 89499\n48167 98093\n75580 91164\n44316 97538\n75098 84220\n4242 7663\n73891 86938\n832 19698\n12301 47601\n87050 95743\n14670 22030\n51279 59744\n85170 86225\n25304 39688\n18954 38663\n11186 60691\n3256 19348\n66813 92164\n45696 66192\n3458 5151\n52969 87365\n46877 83180\n21159 39020\n91784 94153\n26122 87348\n56621 58692\n85922 87992\n13875 80663\n13012 64737\n16258 91491\n24398 40887\n20066 40506\n11071 12933\n12816 68795\n59844 72803\n18818 69026\n72470 92499\n9082 41596\n1907 46010\n75101 87303\n75182 75812\n35787 54344\n65196 90844\n308 29100\n45719 77739\n90454 98098\n19833 24806\n51800 86220\n41002 46912\n23792 64979\n26146 77389\n2912 68026\n67725 86862\n51991 92105\n48287 70929\n70882 97122\n4219 8691\n58850 76254\n22949 68599\n80235 80859\n45601 77671\n74929 82690\n22362 62227\n52025 56275\n29118 35887\n6598 33496\n58642 67709\n54384 68732\n35565 75325\n16735 95119\n12256 21621\n27377 84895\n66562 82833\n28642 94549\n36854 79382\n7606 31071\n34665 84480\n16253 45409\n48868 66272\n14021 65737\n44075 46063\n42525 80005\n33338 55424\n11020 50611\n53355 60024\n7686 61928\n54158 88119\n8672 56921\n62018 73095\n4792 59440\n47590 71510\n17506 95835\n5393 51695\n22520 47010\n72167 80510\n65684 82594\n29799 62600\n1101 14368\n27982 90836\n28274 66488\n14839 98604\n13097 71773\n10264 81194\n28322 99134\n41796 75460\n73904 87477\n62472 67597\n42304 56610\n13544 63947\n47341 93690\n37572 99527\n11132 98260\n33795 82341\n78525 88729\n23506 55857\n2489 8752\n74071 99272\n34423 37345\n1604 35930\n85413 94662\n23877 95029\n15266 20024\n72792 94170\n58305 63390\n43754 43831\n8505 29681\n24185 69662\n62359 79238\n23854 82435\n32695 60032\n871 55549\n30623 40155\n4518 76748\n13931 85550\n5839 37754\n53012 80041\n1890 22615\n53742 60311\n3820 74569\n41006 60160\n74255 78144\n69269 98477\n88390 91468\n915 6892\n3537 22794\n89723 93555\n16840 25344\n16918 22885\n32379 95432\n42905 60927\n50284 97890\n21403 68292\n39701 42372\n66455 98241\n51471 90438\n64530 68163\n16056 75549\n79030 82194\n57358 94551\n37094 51258\n13145 55659\n7090 65963\n28573 31228\n40899 59762\n23238 26163\n34775 59458\n23787 29740\n23144 63475\n63562 68371\n671 82556\n17971 85991\n28687 35767\n7625 58908\n30283 72387\n58554 73208\n48944 85202\n35901 54593\n70733 88848\n24068 85722\n33198 81742\n41687 75940\n37216 55311\n23482 60345\n18143 54489\n15916 23730\n71217 79923\n48571 88077\n68308 74735\n66969 83566\n46846 92007\n58156 76181\n38326 55819\n17725 44588\n2977 38762\n19951 70475\n15188 88884\n200 13916\n3934 74795\n21440 68939\n17964 40251\n40616 49971\n4939 86963\n34259 56926\n61719 91116\n19884 27470\n57656 87180\n26191 48774\n56296 78652\n62189 66911\n43195 62428\n53063 93402\n10129 33856\n77774 82853\n32794 59043\n73624 91684\n24336 28985\n16446 35545\n42271 47174\n41704 69480\n56453 75240\n82759 95710\n3045 17528\n59795 77960\n66805 81207\n23581 75845\n65337 84385\n58628 87565\n39362 69961\n14580 55316\n71688 94207\n25084 74394\n3394 62335\n50551 89626\n24583 82310\n4434 65988\n596 51597\n33299 56238\n23817 66052\n13185 30757\n15460 34631\n14669 53013\n84369 90475\n17068 52961\n17806 27517\n55513 76738\n49409 98843\n75633 84514\n11159 32020\n57699 70297\n23056 95620\n29840 93064\n26159 92506\n4032 87569\n59988 72021\n24973 53189\n19300 84330\n20972 89295\n76491 97839\n47713 54870\n9831 77970\n10921 95764\n13464 82949\n49100 71293\n21015 25796\n8383 32135\n17298 20864\n97109 99965\n57337 80029\n26694 80960\n4587 26376\n43757 77456\n63655 74561\n12540 79881\n33306 88197\n17173 85041\n50201 86089\n41923 67694\n20807 33470\n13747 76877\n46696 70305\n45012 89903\n2039 48036\n32955 94581\n42619 78659\n73240 88483\n6881 56900\n46793 61126\n28832 55117\n32449 53623\n13278 61468\n5169 88579\n12849 96075\n35402 45651\n15713 98583\n43847 79651\n8712 71501\n66087 89848\n35124 90021\n26752 34833\n87465 90155\n65618 96344\n72029 95003\n53753 96814\n16136 32996\n31483 77401\n9329 32896\n20068 52798\n18870 83001\n47911 73562\n74563 79719\n63096 76151\n37082 64733\n38503 96850\n28575 47169\n4103 14804\n76739 95833\n77944 92796\n56007 79261\n35452 57311\n29135 43486\n69262 79455\n58620 65944\n63642 70476\n91478 99095\n6319 25454\n465 97709\n23175 25082\n46672 77277\n58939 93349\n83433 99558\n46819 84804\n1345 18448\n3206 11692\n39563 59871\n43361 74158\n86129 98219\n34946 73491\n35996 51813\n8510 19547\n25857 91685\n3386 43072\n11657 18101\n40834 80987\n69275 98808\n5568 83405\n21130 88521\n7423 92696\n77041 86553\n36879 94628\n51485 79867\n14242 95464\n59128 78294\n165 27372\n43386 55624\n27984 97903\n35628 44168\n63277 87745\n8463 39311\n28411 95651\n32022 38242\n82093 95337\n4834 82121\n10832 36581\n59259 73655\n3104 90828\n27189 29393\n24486 51503\n6047 44117\n10286 71016\n8162 79894\n42125 69680\n72389 77267\n18716 54811\n27761 59748\n25916 56635\n68832 74182\n2939 63159\n92691 94838\n61044 76363\n52713 73589\n54056 64605\n36964 75631\n38276 45931\n57111 68206\n71431 75144\n7051 25458\n65688 91754\n39075 44212\n34054 47848\n53012 58764\n412 23664\n5331 88455\n1693 92769\n2346 61181\n5042 62358\n22924 27422\n79656 83516\n18302 64328\n1222 62815\n55790 61256\n90427 99845\n24482 36042\n40813 83281\n29312 31739\n41979 80636\n67919 85093\n11686 51718\n25308 83658\n77049 91575\n10159 11182\n43699 78998\n37130 97830\n14150 43441\n59731 66195\n61494 69982\n56410 68378\n13663 88587\n4351 51345\n33917 48526\n56682 96251\n26849 62332\n33784 76400\n13578 32326\n20139 70656\n45030 53567\n12415 94318\n74740 86503\n59745 77602\n49497 86564\n89634 99694\n47018 48017\n5535 43051\n17230 48713\n61924 82107\n32916 66261\n74710 89633\n14889 31287\n67676 82165\n26292 79327\n37933 95051\n77645 97778\n28239 89032\n60022 61405\n75111 81718\n3936 22412\n47044 79870\n28467 71304\n78843 79545\n78119 99568\n73389 97086\n40145 65826\n10991 84520\n35323 96245\n4155 18621\n27010 54182\n5405 89332\n3633 16296\n63771 90834\n3092 72507\n62189 94850\n46660 59355\n38711 97297\n1584 93084\n34522 38355\n5744 61601\n74668 94183\n8681 75624\n27783 87905\n23051 42196\n2192 22157\n47979 87990\n15268 55696\n973 16689\n40137 59368\n11389 83423\n13956 85308\n16936 53355\n18460 89692\n29846 48930\n4736 66239\n22228 50547\n68038 95431\n1826 86952\n53257 70557\n16056 93391\n35560 56186\n13135 71488\n19815 48736\n77904 90013\n59205 64004\n26299 70632\n54189 92160\n75932 87887\n6664 21343\n27971 82339\n27238 86676\n15199 53985\n12404 56857\n33643 61438\n48786 97577\n41360 51242\n47918 70310\n51827 87736\n70492 70521\n33383 33600\n14897 90245\n48596 65988\n79702 81933\n15256 73306\n6224 87128\n10044 81799\n47719 72103\n41394 73755\n37746 45031\n82692 93878\n9617 33589\n66426 70583\n27483 99677\n18768 70762\n2331 45181\n2815 84504\n33883 77859\n14838 92538\n31402 81194\n1747 94702\n29645 76235\n18204 89939\n37925 44302\n13631 25911\n92397 95099\n18058 51149\n1908 18053\n41299 75521\n36240 42404\n36132 67739\n19803 72306\n38344 81458\n1862 54467\n42179 73448\n17700 46871\n6123 59128\n54393 98655\n1898 2887\n12095 51174\n81751 90269\n22539 28398\n45654 48571\n25235 97456\n21914 96820\n13173 35796\n12011 79300\n26123 58030\n30839 64517\n4364 32427\n22570 37488\n57759 58742\n1013 46954\n13807 33332\n16733 36409\n19898 75740\n2120 80401\n13863 75044\n34475 35205\n50596 83656\n76483 79103\n6659 55540\n25188 99718\n45437 87766\n52803 73312\n44168 55146\n9248 85526\n59082 62716\n21028 26562\n22551 84906\n8440 78789\n24829 54979\n46548 66244\n17095 61806\n60017 88598\n55940 93947\n57114 86569\n4498 25392\n71796 74450\n4879 97580\n61667 64968\n21714 66550\n5292 58796\n9667 20931\n6439 16034\n21236 38053\n35939 89147\n18034 32092\n59989 88093\n59594 82429\n15206 21720\n17786 25599\n28422 46724\n35277 56277\n68342 71218\n44377 44961\n42180 84921\n33838 68414\n82180 86215\n15119 52149\n27108 77867\n75044 92716\n8062 28146\n67551 82450\n69003 97345\n18111 85379\n42970 59351\n212 59881\n16296 60003\n24458 43583\n35225 83704\n9023 13873\n23838 55284\n62810 74608\n29489 66966\n63669 90412\n32416 74521\n23954 73660\n53574 79045\n48249 49169\n52634 74786\n1533 18804\n14425 39665\n19550 25681\n12091 52161\n2831 42072\n37671 47456\n46245 47476\n57345 76456\n41692 42784\n87793 88975\n47440 83018\n15223 48715\n42104 54745\n13267 61708\n10301 90108\n2886 69227\n26691 89263\n13077 36186\n67236 69673\n56053 84949\n55092 99023\n40313 64800\n862 81600\n56245 79150\n76922 77014\n60661 94641\n25325 45213\n19411 75408\n8070 28785\n41023 45933\n74950 94907\n74896 88888\n32640 77116\n34017 37633\n37686 64676\n7444 58092\n9793 65283\n16934 30248\n86515 98681\n15575 60167\n30183 66758\n74304 77550\n37341 85155\n77715 93430\n23606 88318\n27226 28918\n7553 53982\n54827 66231\n1849 29695\n20330 45536\n17961 38740\n22343 48088\n4681 87474\n7964 85433\n16886 49436\n8257 27356\n4073 73950\n10353 94754\n8720 59632\n17475 27960\n57069 87899\n20403 58138\n47661 72495\n72637 78475\n25288 48594\n11603 16249\n1894 93212\n66010 96090\n30609 54013\n51202 68409\n6792 90518\n57371 64535\n38732 49817\n5979 42452\n18883 56214\n16471 62220\n29295 41225\n27141 93767\n16877 41913\n41806 48353\n60722 86235\n54427 65880\n49167 83924\n47269 72388\n9232 88520\n72704 78917\n23630 31816\n48129 81983\n9114 9130\n35950 87958\n17473 96014\n56485 81030\n15481 87819\n50649 56038\n45725 90668\n30919 55089\n14235 15061\n15521 35566\n25310 57511\n54498 96201\n9767 72689\n54472 68743\n11409 44331\n42431 60053\n41911 96498\n12544 83349\n43809 49231\n20169 67170\n40083 76569\n30908 59993\n82290 92414\n37 71730\n1178 52160\n68285 85407\n9747 98029\n35036 86436\n32076 38171\n27998 65238\n6959 73823\n28703 65259\n32983 42228\n81395 90839\n66099 69473\n44289 85361\n3538 30984\n27110 74466\n18286 91234\n20793 98045\n58064 93650\n33314 41801\n11925 77850\n8763 80630\n11127 42181\n39861 72481\n6720 71177\n25618 30903\n1132 41909\n34755 80039\n70986 72821\n70145 92063\n24070 36283\n61542 83502\n54052 78263\n85378 96801\n30396 67598\n59559 99617\n61688 72376\n19073 44102\n24725 58324\n82466 86663\n24687 29158\n36213 43545\n44852 93876\n73342 78271\n75255 86343\n29073 98689\n21154 28963\n8827 29875\n14034 56827\n7467 29801\n27697 91062\n28510 30758\n47780 69559\n65666 92541\n10656 80349\n2681 9256\n23173 71715\n22765 23436\n36995 58261\n60682 63129\n12801 58461\n36526 54322\n49896 55909\n44573 96008\n24279 34922\n13545 41464\n22483 80091\n84446 96196\n32370 33340\n34317 90045\n28197 59211\n13841 33196\n13732 39824\n800 27868\n43601 79516\n53475 85114\n35092 56581\n41632 91233\n42515 65210\n57021 69849\n44984 58178\n47559 87200\n3646 30271\n40522 54344\n34537 41330\n44966 92909\n10620 93043\n33495 44470\n13368 74732\n30301 78692\n67510 71855\n39336 91800\n49418 70478\n21730 84375\n3545 65329\n1894 31567\n506 44303\n9474 30328\n61087 90897\n66369 71494\n38814 46317\n12467 92275\n67978 83655\n85406 89749\n23815 38777\n26685 33479\n44742 61433\n27131 77621\n42922 83792\n79475 94563\n51712 69294\n596 22955\n35246 89657\n76403 97136\n32373 98938\n5908 19660\n21865 83600\n56434 78184\n7124 87774\n52972 62885\n14033 25709\n61438 84262\n25047 30727\n12159 50251\n66461 97553\n28864 66595\n77978 91218\n14342 62297\n22691 91128\n447 59140\n64333 91993\n60800 91500\n43786 44768\n18807 25056\n22407 66191\n63925 90093\n56664 66838\n26960 83493\n42029 50207\n24229 60745\n70401 76220\n65755 71760\n8555 35403\n70361 82895\n54737 62781\n71911 96069\n45754 64155\n24219 81781\n47001 76227\n29865 63301\n27343 43053\n9934 58972\n20156 95959\n47520 66053\n4773 50743\n23939 40246\n7458 60223\n4589 46088\n24672 87676\n84668 88380\n35168 76268\n411 2274\n43348 70983\n8963 16628\n24715 93837\n47741 59960\n38386 54460\n61017 62973\n58032 77816\n20325 72227\n47326 57731\n15491 89925\n13592 54671\n18799 26041\n64881 80406\n21745 64434\n2471 78954\n53139 95613\n37657 65883\n21114 24085\n30250 64568\n1846 47029\n62373 84405\n83038 97488\n40907 50123\n23726 54317\n41996 50968\n15434 88032\n3116 25094\n19753 66331\n51655 54539\n31753 37103\n24436 25651\n51818 89563\n13994 82104\n1588 76377\n82482 84141\n1003 56301\n18304 20807\n44917 63228\n73823 79439\n10732 33461\n9092 45137\n30440 99785\n32319 53517\n9877 62574\n3252 17589\n19161 38642\n15742 88032\n56277 62150\n36172 88787\n79643 99038\n48859 55493\n19706 44170\n57317 67397\n21420 37859\n47814 88299\n9595 28072\n15435 65480\n17199 20597\n22299 28886\n16419 84723\n46870 94818\n54700 90001\n22972 34928\n17141 48824\n16991 36749\n615 1762\n14540 94995\n12031 71776\n37503 65717\n47009 72047\n70464 93916\n33539 86629\n12850 92857\n38103 58222\n22405 99517\n56716 79052\n56725 95742\n31929 75805\n64060 87552\n71971 97520\n55373 94875\n18338 40255\n60267 69449\n26599 93699\n62453 73347\n32002 48811\n26295 41005\n73777 81689\n43070 91044\n60550 90049\n66511 97790\n2267 48634\n48889 91771\n29215 54326\n18397 74302\n37807 49096\n9584 33831\n48511 86523\n64853 92966\n71517 82678\n11959 62867\n79236 96813\n3042 31516\n34719 83330\n97894 99074\n66581 96458\n36364 36972\n20739 25316\n40212 91356\n58524 99342\n28177 95714\n11899 33740\n9399 10615\n12970 89065\n9802 58324\n63428 88822\n71609 76171\n6273 39788\n23760 84016\n31697 62009\n53399 82384\n7969 45122\n9463 55062\n6430 86796\n346 4458\n21926 27448\n38323 57061\n25159 75236\n16357 99614\n33279 91564\n10097 36613\n60208 88539\n32170 71167\n37642 87361\n55611 90046\n60086 95823\n67210 92637\n50358 93571\n39422 81570\n14831 55859\n3664 23324\n27761 33103\n53135 63258\n44274 92412\n44254 87999\n13986 35451\n8847 99925\n36952 90145\n27853 34216\n8760 69139\n38472 74025\n8792 57058\n51985 87322\n17192 30496\n15125 30712\n16717 47845\n76223 83042\n66965 78417\n37957 79798\n1591 20719\n51346 69868\n24953 40684\n68913 80731\n49496 70106\n23104 68932\n12871 80022\n29180 34842\n41447 70895\n47251 82090\n41694 70842\n1610 79891\n46712 60551\n75416 94499\n25954 82971\n11777 16039\n14946 93651\n15793 30618\n1394 26742\n60867 68720\n48820 68385\n32617 34078\n24250 59444\n13302 20939\n43926 67440\n58222 58479\n49180 92310\n1024 99140\n16409 95232\n20647 87974\n13706 44394\n39839 54386\n69711 84179\n70598 82862\n5661 22708\n16955 50690\n74131 90843\n37090 77070\n57428 66473\n9145 26707\n77929 93997\n16629 20229\n36805 52558\n74741 98613\n26153 95567\n3947 81360\n26659 36065\n10497 36687\n8995 69050\n7540 90329\n1611 56053\n14950 92470\n21371 72854\n4176 61445\n325 35817\n4869 70930\n14620 35478\n12018 58621\n41123 50542\n33359 68155\n30608 59857\n53157 94224\n73622 91511\n33490 81716\n12517 94059\n61889 85734\n66638 99655\n28287 62229\n26366 43215\n30770 72053\n8570 92291\n225 97940\n44673 73825\n52686 75240\n58011 99004\n65662 88183\n64240 92937\n3748 42517\n41496 86866\n8191 72840\n6653 84126\n20516 84261\n54985 98180\n12193 76918\n43246 47716\n8406 84013\n64009 71238\n44370 73142\n40573 96337\n7394 81893\n30215 59144\n7407 8965\n33474 80389\n40340 66178\n1512 77696\n44414 68764\n26141 30090\n50065 70455\n43996 73470\n33080 58853\n32732 85261\n32372 88958\n55674 99579\n33604 97761\n5509 12685\n68781 98846\n59577 61279\n26377 74536\n20776 96343\n64484 85637\n19009 47408\n17005 45917\n47279 69315\n33869 46092\n23554 72480\n89513 95755\n60209 85002\n20487 88318\n41730 90610\n7375 88853\n47691 66332\n35474 84940\n62105 80439\n14813 96395\n11501 13895\n13073 43750\n47518 74937\n96719 97086\n30614 96486\n21089 46648\n56177 85539\n10841 40449\n77552 95741\n48794 52759\n34899 84574\n53631 90866\n17110 68688\n3456 4461\n27297 81167\n980 40768\n455 59135\n41364 59560\n25312 92555\n24188 86553\n21179 54161\n26710 78807\n12177 17727\n65876 81530\n819 73994\n23092 77948\n62841 73024\n65331 74782\n87498 99519\n16296 64125\n28648 63282\n70862 79259\n20804 62603\n19991 61250\n41885 92925\n18974 29545\n7009 67261\n21422 79207\n35031 92628\n5525 39238\n48407 69117\n14459 28394\n53341 92726\n95082 97660\n16564 53238\n43898 98255\n13590 48697\n9851 74581\n7748 91886\n21444 86717\n24034 48285\n10073 97030\n51836 71485\n40931 88775\n8526 87745\n24124 90327\n61679 89250\n1769 81138\n36637 59593\n2295 26472\n18547 87259\n44298 81515\n4310 39003\n25677 56835\n61789 90205\n16389 93995\n71661 94328\n41179 82791\n15847 24326\n79943 85149\n44329 57075\n1206 66637\n52471 94088\n22445 67723\n32542 76173\n38216 91489\n60036 81181\n8085 18047\n44677 86025\n25092 56691\n29422 71563\n22978 35516\n43394 49305\n73192 81249\n87859 99361\n13138 27975\n22400 50497\n36711 64961\n34956 53529\n6242 50311\n18058 83171\n9419 71180\n7856 70664\n50096 95417\n62006 84053\n58405 73896\n29830 66418\n19252 64351\n46785 73214\n88904 98220\n37334 41988\n25440 75321\n996 17146\n14818 33324\n30369 83303\n8336 10334\n277 88749\n52555 94809\n91469 94139\n4564 77313\n22889 59139\n48149 68356\n20881 25623\n33612 84747\n65626 95412\n27383 62404\n62181 66066\n16175 69045\n49226 75211\n11702 36378\n77367 80908\n4444 16842\n31399 71950\n24651 55857\n61125 71559\n15830 38882\n40419 53003\n34825 68151\n10259 19756\n69054 89332\n26022 37403\n11575 33239\n33562 39306\n31107 81156\n61306 80730\n73911 82038\n24249 68022\n46858 75287\n50264 61787\n2472 28573\n19593 54899\n41628 87816\n1829 52923\n28776 45269\n26149 82961\n52958 96741\n30880 86117\n29403 41553\n2050 93605\n43263 92041\n84642 98566\n20824 69630\n17280 79409\n60605 92940\n56269 74550\n11940 21738\n9930 19839\n59572 90379\n20877 24495\n44220 95015\n20902 51387\n59209 83546\n17716 62584\n40618 87471\n61681 74670\n57222 66325\n17246 22838\n29455 30231\n51758 74513\n37503 75217\n1454 80992\n20430 34131\n19843 60701\n16226 56281\n83245 89532\n43937 50540\n57049 63375\n6089 63275\n8158 48472\n4216 29935\n2827 94388\n25425 85730\n26332 38734\n60597 79054\n11718 53116\n65131 65656\n23828 25278\n11171 36079\n81054 88755\n27190 64854\n48136 93219\n16672 88838\n2122 71717\n328 50772\n8960 34205\n19270 57217\n41864 77613\n74036 77155\n7570 40332\n3778 63533\n46742 60646\n79774 80402\n30348 89907\n67477 95860\n31119 42696\n1908 30961\n21483 60914\n4191 40781\n10365 12224\n46622 59742\n7272 34341\n18697 71416\n39252 97060\n65696 85483\n30933 64963\n70878 99612\n46032 49345\n22137 58422\n766 64791\n4789 64560\n5033 54259\n65172 79326\n80527 90129\n10724 23943\n13485 15661\n4871 23242\n13175 78407\n26789 66263\n59868 79389\n11523 50533\n25375 72160\n27114 82581\n35878 95285\n49712 93348\n37275 54528\n21293 29281\n31095 89538\n26766 73285\n16753 58186\n55696 97606\n32558 37398\n15329 69426\n82207 94018\n40345 74905\n10213 78614\n85813 99729\n71611 85035\n10050 14107\n39550 54602\n38128 82300\n59065 67586\n35427 54111\n38695 57059\n6711 80953\n28465 69332\n16969 29809\n50218 60967\n3725 30841\n32000 83559\n2785 26372\n63745 78320\n7156 84864\n5810 75395\n55924 80391\n24597 99960\n3575 92896\n30972 94797\n37942 59680\n2762 97083\n26403 79355\n55305 60594\n30345 65625\n6282 78639\n50285 52782\n52434 89933\n18000 83066\n26734 45318\n6903 78663\n64504 94878\n36721 96303\n28779 47955\n21816 86253\n312 79172\n22385 59587\n17044 73122\n11734 25025\n24368 87439\n25640 95411\n35962 36030\n74903 77558\n2191 52448\n29897 38124\n2998 39374\n9941 46875\n40439 60043\n15652 98808\n77537 97976\n31612 89119\n36069 74354\n78525 97111\n34033 79484\n49799 91080\n19068 99226\n46092 61422\n46029 54624\n26954 96578\n3903 5010\n57281 88907\n4679 6243\n38927 82989\n14642 39995\n15363 60870\n43796 95054\n9576 21301\n791 53721\n79037 94359\n3596 29686\n9651 84925\n9187 86939\n51143 66457\n56101 66676\n17788 50382\n15749 42285\n13558 91137\n53474 60764\n26787 40553\n90380 92186\n30868 51486\n58217 83422\n22559 89659\n1537 45130\n5499 36073\n51748 60115\n24802 34939\n11475 39647\n85621 96817\n9838 38986\n36180 89855\n28641 40970\n26919 63949\n21074 54980\n62349 87678\n78158 82568\n50188 50948\n39016 73890\n30752 77881\n31453 89849\n68873 88581\n56162 73478\n66636 72702\n48471 99145\n52980 56995\n35475 98563\n7839 99785\n21093 89160\n67745 74613\n69659 85250\n36162 46254\n56237 91024\n10193 49950\n11177 91696\n16501 88581\n18905 66915\n75914 78003\n1783 76651\n22776 69981\n17911 93457\n56442 64448\n29223 68469\n28114 79709\n55900 84590\n32630 97129\n17976 41015\n5839 70320\n91537 95741\n10090 84993\n25756 63360\n34913 99191\n62306 81156\n37751 39403\n13671 41818\n37700 69398\n11181 70982\n13496 81928\n12641 25087\n37081 51088\n42176 76680\n29366 37964\n38378 61858\n1745 90919\n31661 91400\n34625 36059\n34951 49123\n10662 27435\n69716 73538\n3498 40383\n34088 82523\n38349 61740\n12870 95464\n60385 69143\n15632 32594\n81132 99993\n69390 98783\n11512 27490\n96761 97472\n15040 99825\n32820 64528\n76217 92633\n57236 85528\n25651 66695\n39219 76325\n76900 90961\n3088 23045\n18137 48490\n137 57046\n50651 93539\n24622 95817\n13522 54801\n16326 64193\n162 5586\n24669 84805\n17551 24044\n16103 93972\n18194 93411\n20393 49863\n35428 86951\n14620 39212\n34222 53971\n31874 87009\n18347 47626\n24001 25500\n56839 86353\n5701 8044\n11132 20315\n40086 95914\n11735 37299\n94927 99440\n18467 78535\n11999 40296\n17971 98039\n14203 43965\n84875 92823\n18030 95346\n28199 53568\n57602 95024\n45135 81997\n46211 48444\n59093 66964\n14391 15788\n83867 89114\n54456 71752\n45300 69279\n3526 21980\n43039 53832\n32778 43540\n14665 47749\n47123 87368\n19345 43192\n74220 74640\n6127 21520\n46532 67320\n21189 67190\n58020 76870\n46768 46926\n72510 74436\n25771 31438\n50813 72734\n91054 92371\n49847 63459\n28894 54971\n75235 92983\n39296 98838\n20598 91115\n6248 99788\n88146 96379\n20772 87976\n79366 84315\n8741 46534\n56462 61984\n53769 97935\n34061 66078\n27073 65146\n64588 78276\n45493 54937\n49865 96971\n33447 33778\n6347 12258\n48896 78194\n50866 68605\n40426 60450\n23496 79207\n1175 98215\n12430 83389\n8818 14398\n11999 94626\n64723 99235\n10984 50795\n70278 89386\n1367 72524\n96222 98068\n31976 98919\n16854 53125\n26437 92075\n14144 64523\n59600 87091\n59068 79780\n17618 51308\n10164 49546\n9636 56488\n80571 98339\n22157 66523\n32644 58279\n25996 91400\n63553 78902\n43984 79703\n63366 81763\n3854 13485\n4024 55220\n61765 91594\n5571 26921\n40232 52530\n37281 80992\n17235 33518\n59456 78026\n74567 82027\n39634 83775\n2049 94860\n19732 86744\n29205 55572\n620 67705\n41387 94517\n63253 69636\n16515 69541\n75754 88827\n32955 55063\n39602 43664\n43886 80310\n74895 87752\n58133 71450\n17434 29418\n37915 89359\n8691 76466\n71211 79759\n31603 77040\n42260 95387\n32750 84941\n11323 70081\n1408 29767\n47620 61912\n50367 55247\n60582 69127\n16303 91358\n29494 34545\n6563 8823\n13771 25547\n47670 95122\n49331 93776\n14058 45706\n9867 48911\n13932 88847\n17825 58700\n66865 96980\n41708 55786\n36646 99693\n28822 94090\n35981 54741\n50427 80649\n16335 47803\n43157 77145\n64543 66190\n94639 96861\n2787 88069\n65124 79755\n17579 58553\n34507 53295\n3705 20709\n37462 66704\n54393 90383\n8616 99613\n23685 36605\n26624 56869\n2852 25481\n6992 79093\n5371 42715\n62063 84120\n2332 32365\n48050 76863\n76266 97957\n25401 49389\n26850 30075\n9899 85001\n49973 93020\n40616 56192\n34388 70325\n4346 64615\n45260 46054\n21149 98354\n90459 91290\n13450 96520\n62114 83336\n40185 61109\n12011 82766\n2688 91884\n88949 91844\n5410 34617\n16724 67852\n50341 87708\n48444 90931\n82747 88974\n1682 34493\n26253 43015\n50507 69231\n9790 25575\n73331 97493\n78635 92941\n33371 52411\n62784 65754\n3182 3617\n79612 82302\n42378 97568\n14231 99912\n10845 14620\n68714 82400\n33037 88359\n42098 89521\n4345 12288\n40629 46402\n3710 76208\n14024 56334\n65408 77560\n57695 75209\n23557 79037\n50483 77275\n37820 96760\n8553 59742\n11191 22022\n25192 59847\n12475 58133\n15147 29694\n18657 61255\n81813 82795\n9881 54577\n54026 98850\n64675 86809\n10672 93489\n71724 91547\n24286 28793\n31484 53593\n3684 44796\n74652 76419\n13638 81427\n33588 75844\n32571 44797\n14410 19284\n19219 38060\n30928 39905\n22179 53768\n55112 64923\n18384 74397\n23915 76978\n14685 35174\n6933 91995\n41373 69251\n30004 53855\n65803 96799\n9512 81022\n8718 30279\n18050 47637\n4203 11166\n23458 50260\n42874 68779\n14972 88292\n45193 56209\n19998 76994\n24420 83754\n46286 77356\n41364 80801\n500 73564\n44008 67204\n36943 81716\n33554 91239\n65003 66945\n7692 72088\n28147 49301\n17780 31627\n46691 99625\n3810 31376\n73328 98044\n67710 90937\n21307 55846\n76038 83529\n3052 52312\n8109 85574\n17150 56845\n49599 73622\n15116 46742\n3722 27545\n54081 88510\n15 61817\n15152 72891\n41219 74382\n32037 91224\n5412 64614\n14905 94205\n63562 64471\n50737 83387\n15147 61027\n6299 91179\n37852 99572\n744 40273\n29171 41157\n23884 48924\n26600 65293\n61347 75055\n34499 84050\n760 97619\n40878 49159\n21695 72478\n24101 37267\n19672 95977\n14091 19723\n4702 76705\n47006 76287\n47236 63820\n63953 98633\n8582 64640\n36786 88165\n7641 99919\n40626 78669\n71057 99892\n8261 30329\n781 3299\n54721 63247\n68945 98396\n79267 88268\n14829 20501\n13382 16794\n91912 98154\n12749 85029\n29592 87008\n47283 81482\n33327 66971\n85296 98113\n53871 95863\n51243 53609\n32321 85081\n5068 43683\n56790 68398\n62376 66788\n81916 88303\n22116 70434\n44324 78288\n39745 56807\n57819 87089\n7313 64346\n24635 50312\n38191 96512\n4952 58682\n27389 75295\n26084 48080\n19760 29232\n23937 63749\n51797 62028\n44673 61732\n59881 92456\n76542 97613\n17197 50946\n34428 50249\n4275 45188\n28985 45054\n17674 42677\n18607 46486\n42595 70613\n39649 74905\n42024 51221\n5119 20766\n2974 14043\n34152 71644\n54501 95473\n15046 98377\n1828 47431\n8600 69563\n1088 24251\n5451 71986\n6614 82105\n3121 6727\n31709 31915\n5409 62186\n40109 87818\n86402 90034\n38988 85381\n26556 39381\n14516 26725\n35156 79013\n16099 20039\n19235 86854\n21124 57675\n28896 37582\n59188 78285\n3230 36028\n50850 71330\n25038 65653\n28423 97327\n11467 80472\n23161 95339\n13134 45989\n8312 35851\n51138 66123\n86742 89706\n50252 79006\n28351 69939\n75527 96647\n5589 23883\n48042 59535\n28185 42855\n36444 69989\n31718 37486\n26883 34373\n11177 56103\n47221 70730\n43958 94376\n16585 25941\n38494 72781\n48318 93735\n34577 36483\n9342 35372\n9817 25065\n83756 99349\n39765 51048\n53040 67302\n7626 57024\n91849 92964\n62688 69568\n8788 21719\n40235 49472\n70321 95257\n25538 57529\n36232 82366\n74332 96034\n28316 77251\n11635 56693\n81663 85331\n55228 95746\n62467 92243\n5970 63125\n29888 85412\n21265 79813\n17807 23398\n20260 42196\n56406 79952\n15690 87526\n47005 71361\n34966 45181\n5730 21691\n13561 49882\n16681 21854\n53891 99812\n57865 99332\n2350 13356\n24193 55036\n40927 41157\n41996 57220\n43845 84344\n81917 90463\n50336 97234\n62927 79534\n56957 76496\n15210 31170\n42932 98814\n21355 66278\n3075 55526\n47560 84352\n6838 29103\n47266 75125\n1623 8156\n26855 30928\n18108 73076\n40740 96054\n45886 69930\n14832 65143\n28786 49856\n65815 70345\n34071 77220\n34376 49452\n65527 83555\n37789 46750\n37649 57947\n3704 84636\n41616 43630\n48288 95928\n34152 86224\n14019 40808\n21989 60062\n13781 48424\n16759 94413\n67378 74338\n56506 80323\n57204 81907\n12632 49380\n84374 85755\n47335 69615\n71926 81775\n49650 92455\n27422 47474\n6373 20716\n4656 16535\n64900 75340\n52937 91006\n73504 86812\n32415 36915\n40049 84506\n31999 35929\n33347 83436\n21474 61198\n21104 39253\n16063 72839\n66902 90128\n9991 16659\n24981 39509\n52281 77346\n23551 66321\n12503 66425\n45198 81211\n4217 84622\n21697 60051\n76746 83947\n8193 83866\n75617 93579\n2702 32374\n76649 94507\n28641 73107\n10939 50779\n77583 86267\n63601 97016\n64623 84902\n37608 51882\n10151 68634\n18806 47285\n6492 9742\n18555 41091\n18073 90219\n37623 80880\n28184 80127\n727 17098\n17727 50438\n22404 31815\n27751 89201\n487 23513\n3066 27166\n4951 34447\n66929 95263\n21904 70729\n83273 91039\n67007 80056\n48493 65739\n25505 97198\n33682 69784\n57864 60130\n48236 55810\n29064 58590\n55558 95598\n52607 99033\n58613 74621\n18873 58078\n9638 26248\n48821 71921\n2477 93767\n80301 99902\n15903 83780\n50064 85172\n59493 96348\n81959 91845\n60619 80335\n14855 87000\n9531 23058\n13854 38307\n39899 82244\n1789 56209\n47557 88911\n35196 40411\n33417 74689\n11840 34959\n7747 89166\n49207 57446\n46609 76545\n15022 33378\n19409 69582\n42478 75826\n49730 80907\n28265 89800\n45044 69191\n21570 47618\n16406 71962\n74193 86923\n14882 36802\n67581 69003\n19155 45050\n35806 84114\n45901 67936\n83240 83854\n62210 83148\n22808 26095\n13433 27889\n66471 77082\n37134 70564\n3431 19045\n27384 98961\n31127 84787\n4889 32595\n14800 34347\n21528 56357\n38378 87072\n48708 51485\n56424 71394\n1004 97446\n20251 68258\n15484 45117\n25661 59196\n3457 44870\n5705 99366\n49267 91719\n57446 85318\n49683 70827\n65618 90773\n25022 87499\n21942 52656\n49195 63578\n20768 47092\n30710 45255\n24784 36192\n7928 50624\n42155 75878\n83528 84190\n70554 89770\n40856 86869\n75035 86441\n54902 96023\n23433 36527\n3671 16131\n41314 53748\n15251 76722\n30543 68168\n36293 97352\n80331 81881\n1909 51351\n79807 96235\n58375 75423\n7296 67243\n28697 56538\n65797 69957\n10647 64433\n51169 72389\n26622 83935\n49158 56327\n20415 72730\n4674 58558\n43339 86696\n14400 84942\n19981 40401\n58416 77635\n12031 84570\n8831 62533\n6476 31592\n28548 29046\n39137 52848\n38187 74086\n62394 80699\n19570 62912\n30583 99137\n3807 66443\n23009 52526\n36302 79569\n69085 81772\n28690 52539\n29724 60565\n3777 96011\n30013 42395\n6861 53020\n28371 54464\n10097 36349\n25072 79409\n13310 33491\n21745 54495\n37707 54191\n35914 84995\n18081 68977\n33886 68388\n19807 56040\n5985 70188\n7893 60655\n42784 66308\n74557 78545\n6594 28621\n86551 89167\n17805 43216\n19599 22954\n50261 60496\n9094 41369\n6958 78443\n68654 73270\n37073 52022\n75062 91945\n5825 39341\n35619 92062\n46149 76668\n22900 68052\n55250 75544\n5003 72671\n39163 70551\n14385 54935\n67559 86497\n27024 65845\n58279 87916\n20142 97465\n3621 69502\n481 70124\n48576 93698\n80226 96273\n661 74734\n71448 98043\n42288 67949\n42147 96462\n50883 96674\n61821 97717\n43820 50567\n3479 32033\n69842 93853\n46647 82002\n15721 99482\n4492 81796\n22820 67623\n50562 80415\n48748 56349\n24736 38190\n500 78911\n55639 88388\n34019 81536\n10979 31423\n42201 88474\n46397 63136\n29645 53959\n39695 63970\n65477 78380\n11068 42041\n74592 84417\n80541 96910\n31695 81256\n3346 65392\n48549 82273\n91218 98890\n54083 63211\n15416 39859\n93255 96574\n49421 97893\n23178 95971\n29244 93115\n58222 81110\n88672 99626\n66025 67120\n51238 94424\n26649 83333\n71858 75562\n19643 94574\n4294 53502\n20309 34858\n41679 60321\n20420 79350\n46249 60522\n56459 71686\n17938 55754\n25550 33342\n18138 86716\n49707 67560\n29067 42113\n11154 63486\n36642 56371\n12276 51773\n10826 13432\n58020 59178\n3125 99463\n22811 51859\n16242 72738\n12188 54544\n19748 37134\n42736 71494\n2624 59085\n27527 41251\n14826 91761\n556 77817\n76764 78303\n8610 74817\n4195 12171\n15805 16543\n34072 87395\n40530 84143\n16418 71556\n19588 53669\n44284 97365\n50985 85104\n1642 83216\n33124 59951\n17954 84598\n32234 43063\n155 99378\n5692 85971\n22258 81063\n342 40533\n28327 55053\n10521 89750\n12304 73117\n79087 80100\n71214 84537\n55814 61854\n21391 38983\n79274 95575\n58253 73374\n37374 60915\n46447 63285\n11703 80796\n15797 23544\n1720 31626\n49448 74866\n26399 31432\n65602 75573\n29906 86598\n4261 58493\n50773 53590\n50776 91042\n40985 93586\n34735 61052\n32615 47508\n23280 94542\n327 44315\n72475 96022\n4470 48584\n53300 56749\n60071 89083\n12379 24907\n10456 94262\n48703 65292\n1123 61528\n5242 35852\n4321 31154\n16092 21729\n33291 63427\n107 20326\n31608 80312\n8714 16880\n55038 84548\n4007 94290\n3876 74474\n3616 20761\n16660 24225\n6894 33686\n38697 56065\n29586 99727\n1924 99127\n24084 56735\n23914 56330\n6368 81521\n91294 92914\n56846 66819\n38201 54303\n24930 36867\n14087 59435\n68826 80250\n53660 65541\n2755 31561\n395 84586\n22217 76012\n18001 42868\n49267 87966\n69747 81136\n8805 72589\n10944 83079\n35552 44770\n32843 69537\n5949 80095\n1274 75008\n3569 82809\n77125 85143\n22801 58601\n22759 27692\n28947 54484\n15898 85788\n37803 82380\n63282 71992\n2831 95753\n84794 96304\n86464 98102\n20870 60864\n17204 65514\n3032 23459\n6699 37031\n66302 74667\n26163 97662\n56196 59411\n43764 94851\n6760 96076\n30376 37915\n40659 65071\n20406 64391\n70020 92249\n21759 56035\n2054 89418\n63392 83204\n72878 79675\n50438 55341\n502 41316\n6440 23487\n32205 55318\n48148 62398\n51808 70985\n47124 63021\n33370 35368\n42216 68322\n25095 38751\n28736 54682\n31360 54894\n9697 39811\n13580 18215\n66007 79236\n42647 56036\n5730 56860\n19743 34779\n94967 98377\n60691 92945\n40338 82090\n46052 98507\n25049 28885\n14172 49655\n2073 39408\n33629 88401\n83584 99608\n51810 57544\n68512 93757\n19579 51950\n37350 63201\n1106 1490\n16204 37274\n65220 96419\n33978 87988\n23741 54491\n50636 87369\n20396 25877\n32362 50498\n27757 88121\n58246 86112\n56541 76238\n43491 50604\n8223 43419\n25104 53097\n81875 95167\n49125 51656\n1969 52246\n55220 61903\n48965 80980\n11629 48040\n43518 47196\n12252 92284\n22046 95612\n31224 36558\n31487 71113\n6528 8805\n56543 61390\n56006 62212\n21417 57344\n1779 36487\n73132 84694\n37899 47562\n883 95755\n344 12081\n8963 25491\n41274 65918\n54406 67073\n13823 99408\n25030 34897\n24988 97198\n17823 57279\n19278 79873\n54324 58127\n54080 95275\n6176 65677\n7706 16853\n46474 91833\n28178 78310\n30241 55328\n63509 71375\n77966 94961\n9843 31807\n3318 46809\n19446 30284\n6261 34227\n89670 99148\n49347 88848\n72517 93211\n18347 30989\n58639 89073\n61476 88236\n6685 7619\n37027 47819\n78175 96173\n5476 52237\n83313 87017\n8581 22743\n54184 87738\n11685 14274\n20318 38100\n18039 20448\n77201 82793\n38998 72032\n15280 70453\n6696 74764\n50609 65656\n13587 93815\n10434 90674\n39683 39765\n2846 99287\n63025 69021\n21532 78403\n27617 97482\n8297 87859\n30260 91509\n6501 62165\n273 40713\n6371 82097\n25946 60786\n65485 80076\n10413 10840\n788 1142\n85265 91648\n66237 97918\n61693 78815\n8136 45641\n18088 62249\n3129 77614\n27662 35468\n64406 89669\n23612 93467\n50499 75657\n4356 79716\n42318 49796\n17359 76553\n31446 81687\n303 68930\n1812 77859\n12941 66848\n37634 41221\n60 53749\n18822 79093\n86463 88199\n86710 96723\n35624 95570\n71729 74733\n15165 54528\n1439 89342\n30483 45167\n27689 74818\n23227 72929\n7117 89618\n61432 89370\n605 5138\n80417 96695\n56054 64597\n52576 86828\n19499 84186\n54727 68985\n41769 83861\n12262 48716\n28378 61625\n67953 85233\n39523 43997\n33946 55135\n68573 86439\n73849 74498\n85035 87680\n16572 82879\n20962 24065\n11715 14951\n15133 61673\n54566 82593\n38496 91978\n50719 79426\n41642 62597\n25118 32795\n53461 84642\n26056 61151\n18532 27204\n49092 86351\n9519 71943\n5877 88220\n43210 96179\n19386 75315\n70202 70464\n3365 95379\n14650 65442\n53806 86298\n83114 94519\n33674 92194\n55261 71992\n6287 9453\n29270 76992\n5667 95085\n12604 77780\n56215 98234\n50415 77819\n71183 72122\n12010 71691\n12484 50723\n9569 85642\n80171 91386\n53 15177\n39185 63373\n45290 88879\n37120 99293\n52928 65062\n29148 98405\n11674 35627\n15830 62418\n48315 54011\n22018 32991\n14353 44567\n43034 77914\n16553 42451\n10979 26928\n73697 86329\n34526 54707\n7132 42623\n19836 84340\n6752 36186\n77516 81577\n6398 50638\n23958 53002\n22921 23933\n10512 36248\n3056 68408\n34673 36435\n19463 81832\n54769 66853\n18581 49131\n15113 55942\n53066 71351\n59586 69296\n30897 50010\n72593 75952\n68437 73791\n27773 78765\n42806 75222\n33243 83980\n26829 98636\n40419 85781\n62585 85542\n56247 69938\n17099 81425\n11718 72474\n61207 81467\n63339 99455\n62079 83699\n49800 91548\n24308 37331\n37227 94614\n55314 91540\n46196 67310\n18158 70374\n5249 42212\n54539 84824\n71470 74312\n17202 83719\n12491 24274\n18123 30422\n67117 85935\n69989 93794\n3939 33346\n11454 69311\n25379 26352\n70546 80898\n42595 42610\n7845 80110\n37571 37732\n65988 95361\n56493 89704\n237 52230\n80068 83181\n18182 88987\n34764 72166\n31570 77121\n37627 46400\n14070 67728\n20178 36566\n30395 50376\n52210 76569\n16345 98428\n25954 82018\n26606 98488\n6984 52051\n89101 92452\n27632 79893\n1694 68249\n49275 53053\n51153 87867\n30990 59260\n30985 94503\n70576 91026\n11468 48223\n59885 95411\n48609 52045\n4021 62043\n19169 78238\n4143 58487\n72294 85465\n11038 97739\n31036 34069\n38639 90885\n9549 95871\n1816 88050\n52305 52443\n54462 84462\n21712 27407\n20882 72201\n18465 88369\n34559 43813\n5896 68851\n41374 60952\n93890 98698\n56616 74056\n113 32580\n6420 54366\n45526 95500\n38573 48051\n55143 85771\n23827 32651\n52352 65114\n34784 46257\n70248 89924\n45141 50604\n39949 42018\n1184 76544\n59901 74369\n18141 50905\n31815 83027\n27934 77409\n63140 87548\n13245 99133\n25726 85858\n889 29709\n19328 46750\n989 12484\n26796 82298\n28202 31079\n47290 89592\n47295 58012\n40896 68301\n6403 76400\n1703 23039\n13599 40369\n27110 94880\n17194 95586\n27382 50376\n4768 30347\n2967 21945\n35421 38166\n8519 66268\n69160 72278\n43789 51893\n24618 53584\n6924 43153\n27162 95573\n22891 80812\n56201 60365\n37362 55753\n61658 64581\n64347 77474\n28614 54815\n1452 30211\n83072 92666\n93 14743\n3132 73085\n34463 99904\n20548 86162\n77746 84638\n56128 68203\n12182 76561\n15496 71827\n48665 51423\n58811 66623\n49294 76473\n41716 51364\n8300 47154\n84754 88299\n73828 76146\n6575 7172\n26182 29202\n38190 74299\n8201 51289\n32081 48235\n40488 62682\n13561 49348\n11470 97866\n17115 64492\n56421 56531\n10251 32975\n24840 80263\n74290 74980\n80028 94838\n59872 86629\n35147 96245\n24554 36398\n15219 53915\n10441 82089\n5201 25266\n6090 59971\n20519 33291\n62786 66608\n16425 21846\n26141 67165\n2774 79346\n6999 83498\n83857 88047\n5074 33416\n53703 59901\n35206 78623\n71312 91733\n42664 56490\n32122 92783\n41223 54541\n29130 97056\n88944 97884\n16861 95321\n93892 94113\n3123 19857\n47443 96970\n30554 78534\n1455 33084\n32742 65163\n28207 99155\n37077 82334\n47441 88757\n27493 45462\n58267 90242\n52430 79620\n28162 50327\n19959 26147\n18137 49689\n2427 6416\n12476 42608\n41935 46779\n38194 64196\n250 49612\n9106 24719\n3100 48399\n22449 67155\n43297 53531\n5840 98192\n17719 82524\n73354 73727\n11589 89669\n29462 61593\n34471 82536\n38650 90636\n63840 97968\n16884 89515\n59215 85985\n28615 63946\n70779 76138\n12434 59199\n1173 76673\n18894 26874\n24866 87621\n39185 90267\n8420 58187\n30475 86301\n17414 93276\n43787 67012\n74646 93396\n534 47234\n31226 45374\n46896 60030\n8274 85321\n61171 62005\n31634 79055\n41427 72510\n32090 64072\n59415 76663\n32438 35943\n43119 83752\n47239 92528\n34186 77976\n65981 75021\n18925 61908\n38448 68273\n4233 90197\n60674 91023\n11502 37125\n56779 92070\n1804 5093\n28159 91662\n27212 99905\n5093 90109\n38528 45314\n79 16785\n28360 82688\n71032 84329\n58088 67319\n33882 63788\n81600 83594\n9823 71729\n44978 47101\n9344 82520\n25374 95533\n19663 63735\n33788 51169\n35543 90014\n29936 81354\n7535 22869\n53681 73021\n212 62322\n17366 52682\n11518 15872\n24348 43948\n3427 42182\n23560 87990\n944 10417\n7377 86492\n55509 82516\n83696 91558\n44616 49133\n17866 74116\n4145 42834\n6092 69117\n1393 89647\n8147 24451\n18342 42676\n65747 76242\n6291 11141\n26851 75697\n28424 45211\n16935 66705\n5193 43621\n22226 64181\n5753 58428\n9646 17876\n11312 20164\n10782 93747\n77241 94198\n39330 73729\n3645 32713\n24892 74989\n18731 61278\n9535 54047\n13228 93504\n1717 76464\n21530 90745\n58844 90749\n4367 47395\n6141 8709\n3365 75711\n938 9035\n37792 66559\n16280 31638\n51447 62656\n43524 43940\n61734 71201\n9389 80777\n52940 53438\n63400 91419\n10977 98789\n66554 81278\n10374 24742\n78002 96846\n40158 84927\n15133 54270\n30094 72223\n35837 65992\n29106 77781\n33964 44814\n1384 35970\n84589 97074\n51512 61366\n9200 30544\n74519 93079\n20741 34893\n32247 36491\n59521 79480\n9912 37997\n36893 60893\n43253 72520\n48086 75137\n88576 95066\n4100 34139\n16526 28641\n27683 58221\n4176 53201\n44899 56942\n43574 71641\n1408 44440\n7104 27553\n35867 56961\n12082 20109\n37683 99150\n12787 54160\n53956 68031\n45436 99155\n37325 58319\n34054 47344\n68621 70220\n10590 64292\n76796 92337\n18744 48398\n4044 50667\n14866 76513\n66432 92702\n11227 42176\n33395 54461\n73691 79159\n34858 76257\n22691 67797\n70611 89665\n40582 83368\n37360 42177\n16716 38597\n16576 46170\n4513 59307\n20316 29858\n35577 41507\n67065 74254\n18038 39281\n69337 89574\n37623 87131\n23541 77932\n12940 59241\n77962 94743\n49702 81111\n29032 54348\n56645 81296\n85 63978\n24178 44904\n74331 92978\n35342 70575\n53010 53570\n362 93745\n73365 92888\n82872 92448\n12009 20092\n7734 9541\n19833 24266\n31525 82052\n1419 47750\n25916 33560\n30131 35665\n21369 64956\n76666 98895\n28602 79856\n55062 80015\n71410 82671\n42695 59952\n68745 76813\n30727 98650\n15542 42801\n33234 85118\n50848 83577\n18045 91182\n36768 61386\n65134 90273\n76542 93508\n11833 85736\n13405 46444\n29219 87457\n27483 38866\n13067 98531\n19047 74616\n48808 56464\n20344 22607\n64891 69674\n66268 74451\n66377 73330\n32323 87423\n70988 86924\n79010 90184\n12731 47178\n14471 27805\n44238 83747\n11367 61998\n9583 49832\n7230 66672\n1574 83011\n22044 40334\n28027 55396\n71245 72457\n3426 17232\n41128 57645\n19705 32518\n38446 40313\n16197 26643\n51076 55425\n46907 83803\n27984 55884\n43512 96528\n34092 88548\n688 64543\n23088 98583\n8475 86624\n45847 87199\n22129 38178\n2424 50701\n40256 66712\n54235 56178\n26090 71311\n79939 80497\n15127 76049\n35023 86095\n37811 39966\n84079 90249\n27943 70550\n31484 83550\n94001 94652\n6961 36174\n20326 27993\n78044 95675\n42969 85984\n13089 30308\n156 80230\n59018 92917\n43297 87179\n69575 90885\n4945 35497\n33477 44443\n72267 82471\n26073 51906\n74843 81232\n74804 81175\n10443 13787\n29667 77006\n36120 65911\n20056 25289\n22311 35273\n38440 90888\n14783 79640\n55051 56984\n37113 69505\n51163 94762\n7145 62906\n22137 98726\n16203 92641\n36790 87188\n14896 69886\n53039 87421\n9034 44110\n6250 93549\n64735 74647\n11480 89265\n848 30710\n57865 93869\n28171 84971\n39975 47201\n608 49160\n15754 70943\n36490 85947\n48814 69260\n33819 63406\n69797 72930\n43679 46678\n73767 83073\n2110 78647\n10608 51657\n1479 62421\n31853 47342\n66333 78820\n8959 40749\n46092 54691\n9525 81208\n26505 63214\n6569 25826\n13229 41408\n4664 25663\n5697 6536\n39626 97375\n36179 82817\n16097 52736\n3738 77142\n55500 55685\n44596 91017\n22572 50158\n18702 95740\n37757 44975\n43136 78460\n73395 86715\n40183 77612\n80527 87179\n36381 76454\n47776 85102\n55844 94721\n13658 93293\n70943 89139\n28153 94270\n15900 33915\n24793 38191\n57011 86306\n19260 46760\n12901 35868\n26127 78600\n60565 80765\n1216 2870\n43302 66066\n31712 47140\n48451 87439\n18026 81336\n32359 88603\n52672 70235\n62355 72211\n5756 80337\n74916 88512\n1481 67715\n28171 34657\n19534 22623\n71879 72061\n44097 83516\n41113 78375\n53676 56942\n53782 97902\n31781 64147\n61848 98015\n41457 75569\n17747 26678\n57298 93934\n20832 30312\n5022 90697\n84050 94631\n7081 79318\n59381 91886\n61240 84820\n43091 83562\n20827 99335\n5292 66720\n15181 44421\n70010 99747\n64609 96410\n22068 79099\n71859 83146\n40555 93648\n31592 68768\n56451 67178\n509 76273\n31219 92098\n16896 93108\n59457 88431\n815 94956\n20799 43080\n34479 44854\n75934 78203\n14397 32836\n24822 42914\n18362 22536\n4898 51995\n70338 82089\n15309 66284\n34159 62139\n68713 77604\n52735 76942\n62698 69230\n9587 91622\n19245 81946\n23708 32791\n1953 88379\n63890 92366\n583 95515\n35733 82324\n8062 66972\n9726 93909\n45254 77591\n20732 76746\n22147 79870\n9514 66148\n6063 54132\n15010 90574\n55331 81947\n27526 58849\n221 10876\n14737 43906\n12172 27801\n35269 89149\n38956 65099\n28188 95758\n43718 74547\n36227 36604\n67144 88339\n3709 79289\n12484 37231\n46921 99975\n75733 82259\n39364 69714\n8851 91218\n32080 50672\n26993 62929\n54714 55755\n46292 94869\n28629 62362\n4912 27515\n42903 88277\n26379 75742\n966 31227\n74409 91987\n29859 55820\n44846 76948\n10395 72353\n70152 78412\n50055 78847\n37902 76171\n80934 89357\n27390 37696\n43320 96851\n1956 95641\n69304 99748\n78301 94338\n13565 41736\n26288 85068\n27691 33980\n10926 46374\n81 5806\n11265 77308\n57498 78257\n9746 43173\n66494 94304\n7609 19335\n21274 64503\n19486 37785\n6536 6682\n67457 84684\n49451 67289\n46258 76087\n91241 96848\n90465 95388\n51957 74698\n35649 38341\n15611 60212\n36827 48108\n23568 72653\n46631 60991\n5973 88649\n36181 72984\n11039 86782\n18380 84478\n15046 45727\n6979 67435\n40371 95255\n10913 84370\n65823 84971\n62788 97662\n1834 90773\n10699 88453\n18023 32293\n67861 88651\n56590 69700\n30173 87886\n33188 81674\n58472 68705\n6804 75049\n10754 88448\n27788 73673\n39999 41574\n22869 29755\n8250 99381\n25407 31835\n25204 85324\n2110 8014\n9341 35448\n5673 89047\n22862 79199\n17371 66321\n17781 55480\n6285 24615\n52599 92158\n41625 97847\n40096 53288\n13642 43571\n47137 80588\n6274 63832\n36888 72281\n85455 89175\n44391 78626\n57125 72257\n21325 25167\n58189 72726\n33478 40317\n8606 79300\n47473 86889\n20138 58172\n31735 51461\n58015 77485\n22618 60710\n2136 99233\n43915 57762\n37945 86010\n17604 93809\n27812 38716\n55230 68353\n17638 38928\n65529 74123\n3966 37075\n19744 45706\n10410 28326\n27714 68721\n78928 87661\n16119 46645\n61444 85282\n81916 88258\n3423 99997\n33689 93319\n9598 13953\n1355 29369\n22320 65954\n55032 94051\n11885 61762\n14348 60330\n37781 99108\n21624 26001\n44972 70174\n5547 56876\n9008 19591\n25779 55862\n48449 67076\n45726 97104\n66383 80597\n49201 71133\n18085 27553\n30062 80036\n4464 6706\n58089 77738\n69401 99924\n56887 97819\n32642 38681\n54748 63773\n3523 64154\n60133 76473\n5278 10703\n15409 26783\n1927 96035\n35027 46606\n1333 63348\n60359 71450\n7038 40245\n74645 92742\n23372 65623\n11800 39225\n39922 45215\n78032 93082\n11079 93760\n8036 19368\n82198 89051\n67225 74051\n4927 76164\n14977 16134\n46842 76981\n6234 76550\n69381 74192\n47621 99905\n44695 64212\n9691 46773\n18250 71733\n1871 58099\n39675 94817\n20179 47815\n27496 64060\n36200 39576\n19593 37431\n68462 72891\n16829 21474\n9965 94853\n77150 82732\n32236 81188\n31176 56096\n22428 93884\n20566 97106\n48312 60228\n24658 72679\n60366 64084\n92424 96051\n27086 42036\n88437 98240\n35317 51930\n37441 83049\n48814 84140\n70542 87387\n81382 90416\n62150 68735\n36960 39559\n77007 77064\n2537 94847\n21063 60005\n71142 94373\n11720 36869\n71340 77363\n93568 98801\n42632 65995\n47758 99597\n21430 87126\n26034 85184\n32338 74479\n4928 70524\n12263 76061\n30112 51593\n69959 77220\n20599 21348\n31664 99836\n27682 57161\n36616 78790\n17430 51060\n12701 88524\n45646 63284\n31644 68466\n77484 93512\n64964 92435\n19558 78396\n33318 83905\n19884 37082\n7488 99989\n38401 63098\n26352 55252\n46297 57431\n16496 34884\n31854 50868\n19450 27336\n2939 23521\n4277 75130\n63675 67926\n56580 93617\n49516 51641\n28673 69784\n29216 39207\n18831 57532\n8184 73499\n44753 74480\n111 29003\n15585 68137\n65061 71174\n26407 39849\n41056 92561\n20093 56482\n72304 77179\n68444 90166\n47411 87224\n38029 40086\n55211 94204\n1935 52181\n63307 84911\n74746 84952\n87223 89840\n18599 48724\n31012 33190\n10173 93902\n42914 47257\n9128 66520\n3543 32118\n50437 88144\n67575 88012\n48055 55932\n5906 10851\n5065 6481\n69173 90151\n17753 44733\n36786 76921\n16121 57171\n38513 74930\n6663 73606\n48530 85872\n20984 35592\n53682 85253\n19540 34525\n18834 51259\n30440 97039\n8227 62393\n9281 24141\n38962 88042\n32530 88073\n3004 36482\n3194 72862\n6198 14398\n76631 91364\n74897 83278\n28773 93002\n4578 70119\n3492 31632\n26977 94790\n60760 92105\n32947 35184\n40631 49635\n99170 99322\n9770 91049\n27867 55078\n57774 76476\n20576 32377\n6827 75903\n45416 61859\n36342 87206\n44320 55525\n70315 76327\n50976 87313\n7587 27979\n21768 24566\n79802 98135\n47048 78829\n94718 97752\n8011 73467\n38481 52860\n26910 78233\n62307 89212\n66858 86729\n23056 66190\n63590 87743\n7048 86133\n36874 78577\n43289 60212\n24671 26038\n43826 98020\n59867 67127\n68450 85715\n45685 56238\n21274 29414\n6533 65270\n62511 66620\n55701 91848\n9603 78039\n3546 56972\n43537 79167\n57672 76153\n74982 85810\n73328 92820\n35545 91344\n12553 88680\n72903 99522\n8857 54861\n77702 88748\n11285 86541\n77063 84265\n4527 30207\n80362 89283\n14832 58062\n13793 50925\n27516 97990\n46128 66339\n80551 95835\n2233 29833\n29095 84591\n32182 35497\n66001 70931\n41888 69415\n5624 12786\n9381 23074\n40858 69867\n29735 40085\n50665 78577\n85122 99403\n63401 65096\n25016 48474\n58050 87934\n59760 74608\n57305 59892\n18623 99385\n29973 64587\n46811 71763\n67913 72851\n745 71952\n13893 87127\n17715 35163\n89426 99149\n17197 91278\n57021 92575\n30347 31164\n23061 37010\n1993 93184\n59189 83049\n72486 93101\n50548 58823\n42789 90864\n38744 49470\n34834 99222\n70822 88851\n27534 42520\n20755 77354\n59546 96011\n17700 95347\n39324 54539\n72778 81409\n5838 19419\n146 30344\n62080 85072\n25407 42127\n23207 39238\n62061 76565\n20884 25551\n5056 68851\n8541 65545\n6244 43816\n80837 97871\n1391 41663\n50336 59108\n80038 86551\n48595 73023\n10441 10688\n9095 78653\n2335 27916\n28505 94437\n36230 99333\n17146 50016\n10688 41216\n61163 65079\n42625 93233\n23443 57763\n48432 98302\n27399 36081\n1808 79142\n81577 84708\n58564 74209\n34001 79231\n24047 80677\n57668 88998\n12349 19518\n69927 81773\n19348 89068\n1666 93466\n56550 96363\n60649 93536\n35792 92497\n8167 25070\n3390 72196\n22713 77512\n70069 99842\n23725 51199\n46489 93254\n44880 75651\n19850 70407\n58139 92036\n13435 39281\n51789 78800\n29 23860\n77982 79119\n29025 96053\n19083 75545\n67658 88652\n13125 95655\n44702 75051\n23242 67254\n62210 66267\n48621 66867\n50716 86776\n58082 98915\n43488 73120\n44953 87188\n23282 41817\n7844 61044\n41665 80091\n2314 76839\n27626 81172\n43798 57277\n21960 56128\n57331 73724\n35658 98704\n7628 87869\n41032 61253\n39308 93870\n66302 70794\n43107 51761\n24411 36861\n37577 95200\n17236 85587\n29794 95445\n34656 77552\n48815 63252\n6266 97191\n23833 29665\n28049 38165\n66009 78459\n31483 42451\n20806 79435\n4157 65845\n12726 42039\n1119 14384\n24925 34138\n45434 82580\n18581 69290\n9571 84828\n68198 78099\n1472 22277\n33785 71467\n49674 50460\n91541 99982\n68726 74838\n83770 99844\n57498 93050\n51255 98618\n2063 52199\n8385 99429\n50705 71044\n43061 96257\n42304 85793\n50549 91141\n62806 88782\n19442 95058\n78903 88485\n59320 81813\n21914 99764\n51546 72492\n54326 93175\n15778 19717\n76494 78772\n9835 65324\n46319 62906\n23138 98290\n7741 46043\n8969 15018\n36895 71459\n61047 86525\n46890 59284\n29271 95300\n65076 73598\n32081 43516\n6669 84661\n13300 21942\n51810 58066\n20234 39036\n10853 13645\n25617 57596\n8237 24686\n39704 83617\n10202 56045\n41387 60761\n14119 59683\n46997 94513\n50565 73063\n37428 95885\n49635 80520\n44185 71412\n86888 97206\n83615 85469\n18069 85829\n27536 43963\n58595 61910\n7097 14342\n45372 96773\n36341 41095\n49210 72492\n1610 8724\n135 19355\n2824 95390\n46706 75364\n2953 4253\n3675 22552\n4124 36542\n26568 96341\n59928 84640\n51059 61448\n8440 41505\n30007 48741\n12436 89991\n33894 91358\n11178 84551\n38879 69337\n13269 45656\n5921 33810\n28605 97753\n49955 85591\n42793 85279\n16734 66781\n32425 84492\n48787 64295\n54837 73004\n4626 48720\n14851 57029\n7614 29488\n27718 56658\n41350 50303\n30274 32002\n69 9394\n38756 71151\n27930 87285\n67821 98978\n36641 88042\n24033 50459\n8856 60170\n8068 73869\n8574 42335\n32521 71647\n12823 27033\n21074 39867\n36280 82031\n41092 81433\n31330 56368\n13303 16704\n7288 45848\n31773 68937\n75013 84927\n44968 67892\n13783 45096\n20063 41297\n56841 99876\n6998 36938\n75309 92443\n37224 65582\n75989 88223\n77695 97567\n22826 38645\n50153 87972\n29711 69646\n1583 34743\n13331 25400\n41985 84328\n861 94737\n19891 31386\n15388 40462\n43420 53469\n743 7653\n60270 87914\n40865 49188\n20475 63381\n38450 67843\n86038 91568\n537 3838\n30478 87826\n24052 60472\n45535 97635\n8914 55592\n10319 93696\n64604 70942\n21109 42582\n21374 84487\n74968 81982\n25964 78903\n19775 86393\n13244 63672\n15335 81455\n5148 45459\n51142 53760\n50452 70408\n17499 70025\n12469 38598\n87694 88456\n34732 76422\n32732 83298\n30633 78407\n33318 40093\n29829 77550\n17495 74439\n16969 92410\n42039 92825\n13536 20955\n8199 12464\n51909 70997\n7244 76369\n5001 85652\n45641 72831\n24843 47458\n7402 22477\n6329 81544\n807 75185\n3234 48976\n26343 92100\n2259 38258\n12210 93159\n51928 61968\n50055 80197\n15015 65665\n12717 43848\n79135 80802\n54838 85334\n56587 81563\n4123 85614\n24692 89485\n84497 85304\n58058 92374\n17713 53757\n26185 74703\n48639 65711\n72689 93528\n7750 39612\n81879 91286\n68080 90937\n67511 73904\n5399 69453\n54005 66302\n20940 90463\n11239 21514\n56487 85946\n6528 76948\n82362 90682\n55995 57321\n26837 30770\n10115 70572\n48785 63355\n21212 59759\n2838 14225\n83260 89659\n15511 42522\n43376 86609\n60230 88673\n3696 50231\n30847 69522\n919 43147\n15756 37584\n23360 75602\n88561 99933\n72830 80746\n10422 61137\n74227 84958\n57080 57705\n10541 68919\n13653 95966\n30375 49422\n7710 96556\n64670 67476\n11105 13755\n58332 75838\n4788 68608\n4249 68428\n26638 64290\n5976 71942\n85011 94171\n1241 85338\n32702 55939\n57842 80878\n21799 90373\n9163 56326\n21057 88840\n36147 42552\n27543 41431\n29661 72003\n40221 81989\n20190 58798\n674 84130\n51558 90611\n22391 59152\n63459 68199\n19698 73398\n6063 44005\n48507 99805\n45462 47012\n16579 79671\n12593 56402\n29770 62903\n82688 82742\n25466 64395\n30823 92905\n46870 63714\n36160 61779\n2941 2979\n63719 71999\n22086 48018\n38035 43086\n7710 97562\n12269 25409\n16577 20857\n32202 95115\n124 22897\n28660 80799\n14452 85624\n10531 78658\n44195 47247\n61733 96021\n1620 82186\n28349 94197\n24030 87192\n56392 59411\n10274 55511\n67050 96857\n65767 91906\n5338 69234\n55815 76028\n167 47576\n36244 98607\n46810 63069\n10754 32360\n58237 74770\n80559 86514\n42190 47744\n33172 72045\n28741 45526\n50 79164\n54961 65547\n22119 61077\n67 66910\n8808 33546\n46618 57932\n34468 61211\n52501 96255\n50258 84140\n34558 68786\n14242 73628\n16343 55778\n49705 84538\n14268 23366\n25878 76029\n31577 66455\n25008 73975\n396 12818\n1440 40043\n47761 65456\n72385 98299\n69743 73788\n59900 78386\n30851 48190\n81102 97734\n56988 70459\n48111 76321\n56418 90624\n46744 78623\n42793 46614\n21136 77109\n2259 16440\n12808 64899\n28294 68812\n5808 58990\n32577 44484\n68708 71729\n48077 65771\n39363 47189\n56396 74935\n29709 79097\n22921 76522\n34605 34638\n1495 68791\n87404 87528\n4039 4717\n34318 54991\n72878 87706\n38689 98859\n7168 77077\n33706 52062\n6791 46519\n24718 31413\n77947 99422\n73023 96943\n51251 84948\n31618 96563\n7851 64964\n2185 24073\n16820 54894\n6489 17749\n3442 70814\n62208 93018\n51524 52863\n21283 44314\n45583 69257\n4639 43794\n41107 71141\n60637 64807\n7538 90285\n16299 51166\n16062 85217\n32151 45992\n20524 52711\n57419 93716\n46397 94611\n65011 80978\n76612 95055\n2440 82338\n74559 98530\n43119 93117\n32137 92157\n51332 65735\n53002 95813\n2573 56055\n25367 53821\n960 96691\n39394 63879\n35539 40064\n77258 81200\n78886 83353\n8434 62909\n23228 48518\n60399 65757\n61951 74041\n27736 30697\n18648 27621\n59320 78326\n76167 82875\n33446 83900\n34786 92191\n11809 71291\n24547 96183\n23220 53386\n65915 94782\n3398 4541\n71136 82714\n26988 92887\n58193 76856\n3937 40723\n21293 49470\n53119 84997\n33746 40172\n55298 93514\n64669 77818\n13400 45164\n10583 31489\n34194 46216\n38378 54565\n19391 26960\n9877 27933\n3151 6332\n26612 70617\n61521 65086\n6086 10146\n63290 94962\n42306 51208\n41206 61642\n19363 60657\n96099 99983\n353 32254\n35004 66573\n53468 96223\n8230 63228\n54833 62702\n6740 44674\n57889 81808\n64051 89909\n16832 75690\n35651 59992\n32452 46050\n36574 85217\n24094 42767\n6384 86668\n82772 95225\n43567 89540\n31184 35250\n6914 7693\n15358 33408\n35017 62555\n72509 90652\n78370 94182\n46709 97248\n49505 87004\n53367 69582\n7567 49134\n27284 80872\n353 66605\n33201 98130\n50891 59948\n73806 78802\n35002 51038\n77147 83266\n37851 54294\n13004 53767\n25291 92602\n31377 37193\n74009 78918\n22968 61021\n22318 44639\n42806 46466\n37026 75885\n75555 82510\n4170 14653\n41292 54798\n45482 50783\n12417 31345\n16899 58096\n7432 23880\n69149 99574\n2605 72640\n47710 57355\n18997 93011\n2713 82011\n46842 88812\n12688 81468\n34386 76230\n6944 53013\n4642 69611\n27026 41171\n80092 99694\n2121 49655\n36425 79585\n56352 62929\n21262 24456\n1129 80154\n25200 81504\n37305 66051\n84659 97411\n77171 82652\n78624 79262\n9110 75441\n45424 69139\n35332 92844\n70615 92751\n21749 30992\n11750 96259\n58677 80343\n39425 71265\n21875 26458\n29075 37205\n26612 52775\n13102 50142\n6896 68587\n14020 88585\n48891 91077\n9405 29887\n91541 97291\n26775 52399\n17123 95400\n13612 36118\n43590 52398\n5748 13882\n16645 39842\n30862 63890\n25323 63242\n40592 80336\n33397 76614\n28012 91900\n19527 26959\n48745 72840\n47715 64957\n78432 97398\n3067 71719\n14098 64289\n7105 27826\n25249 76716\n40540 59746\n27090 95457\n19120 52808\n10423 71481\n6563 96970\n29181 40383\n36406 36791\n63350 98924\n2365 83903\n18321 69200\n24471 99476\n82470 82633\n50740 89386\n28072 80205\n4868 23087\n64809 84740\n23333 36320\n25166 65384\n41553 57396\n47235 86098\n17220 99877\n4201 8521\n28621 78479\n75890 86598\n84723 99775\n17457 21456\n10168 54523\n5742 48233\n7151 9812\n28424 52172\n41960 71687\n44166 61719\n10249 11369\n55207 97403\n1936 97184\n38256 72476\n30433 31225\n20978 49958\n28761 74194\n48445 91271\n60384 84610\n24127 66579\n18061 36932\n64214 84371\n72002 86272\n3225 21349\n19827 69483\n1704 9110\n22367 81546\n17679 49333\n47207 73768\n55907 58950\n36514 64028\n12424 47627\n6667 90006\n35933 84760\n66084 89145\n82073 84150\n8764 59861\n63971 87805\n69831 97656\n17014 35037\n51523 91566\n29589 85373\n82926 83136\n39211 66723\n37515 61709\n79109 85241\n19520 43812\n71586 86734\n64888 94672\n24384 59053\n75713 95752\n53147 53245\n16918 25049\n1301 7300\n37621 58526\n61932 81612\n27675 79437\n65629 83334\n17550 98026\n5459 68780\n60631 82959\n34182 95568\n2582 35830\n34301 45767\n6951 89359\n3087 84604\n64198 66336\n21701 67779\n37164 93284\n11027 24880\n35829 55985\n49564 82513\n39792 88970\n75621 97354\n59090 83963\n51063 81525\n14682 27192\n26521 72756\n90 37999\n20718 41964\n3324 40404\n3132 44925\n8368 74853\n20326 53766\n34638 88970\n9647 93079\n46197 69859\n38443 40413\n8051 26964\n35148 65272\n33226 99444\n56118 94062\n16541 49501\n23049 89294\n50469 92675\n22645 83216\n50670 71597\n10181 85170\n35489 66135\n761 99187\n7002 75116\n17502 99725\n11237 27440\n11591 82973\n15485 77026\n81863 84536\n34418 66198\n55487 82968\n19482 54403\n28467 93155\n19568 32504\n14095 28799\n58375 98682\n6532 32394\n55263 96338\n18128 99494\n2111 95778\n11944 86539\n16759 74441\n10512 44210\n16676 18340\n6181 98056\n88471 94367\n38593 89083\n45376 98743\n56326 63454\n41038 54827\n1561 20433\n32404 35882\n72112 89385\n14137 79588\n16944 70591\n32393 97301\n31610 64033\n17440 58781\n11604 45500\n19292 55323\n20108 83112\n48797 61913\n36670 75930\n43033 75832\n11896 30903\n48753 92000\n88822 97220\n5202 62700\n65018 71175\n42549 89454\n31352 64752\n18100 73124\n4629 83716\n27949 71034\n33446 44446\n17608 80927\n38380 69751\n32083 76319\n6274 48434\n159 35498\n18361 37231\n54978 92717\n43729 61754\n467 32805\n61941 69249\n6963 58368\n36904 91303\n18395 83387\n44286 88209\n114 73508\n52799 72883\n11513 61870\n28067 67500\n60429 67980\n2164 94129\n17708 19685\n24677 45184\n37363 54321\n70381 81029\n245 16283\n38125 70611\n62213 68224\n87909 90916\n56733 96838\n30225 67908\n18034 98707\n17336 55633\n14755 70422\n57725 80673\n19452 26664\n71792 84318\n43362 68089\n4369 25145\n15246 86529\n20066 95399\n48039 99305\n10893 35680\n22440 24688\n46111 85038\n79272 90783\n8968 39664\n44342 55742\n58015 62098\n65339 98608\n72523 76033\n19418 34585\n47905 71558\n47900 50210\n61109 97924\n3530 68577\n7516 85063\n14616 65279\n18874 24260\n60064 69450\n61300 96696\n23784 70855\n33071 64772\n15052 78643\n52009 81872\n2101 3066\n49798 94414\n29175 76655\n60091 77753\n15509 81367\n24988 32804\n3613 94598\n19371 21719\n45975 71410\n1588 82290\n17374 55601\n23666 38392\n4329 20203\n81045 89296\n38866 83017\n21522 56586\n7631 62170\n58343 60861\n1288 87333\n5805 53823\n14185 96887\n11626 38341\n8150 55340\n21651 26075\n4446 6118\n32703 42163\n4283 46838\n60490 85468\n60764 86694\n46655 70637\n4899 88105\n15264 82748\n78214 78980\n13033 37497\n42727 76340\n35579 83404\n28749 90319\n34968 77485\n83914 95569\n29698 86442\n57530 80673\n69070 97971\n49646 55608\n11372 84773\n704 57715\n24566 68801\n27966 31482\n87848 95567\n23642 28361\n17242 86077\n16208 45616\n80207 93597\n29158 84622\n16207 90911\n30378 63537\n3444 61828\n30012 38502\n11191 33664\n55920 92880\n17180 73091\n41455 47647\n61331 96898\n86239 87609\n75276 95197\n23429 48795\n98374 98606\n16941 91144\n29179 88829\n28743 86690\n59623 86981\n97002 98106\n6315 8214\n49866 90881\n25615 78749\n56108 75993\n36474 40162\n78658 86053\n16976 90214\n13215 22861\n32043 88609\n52073 74021\n38501 80107\n49303 93048\n6885 86204\n44700 85235\n13467 49022\n70582 81754\n12280 93935\n6559 73794\n67056 67630\n2640 22599\n11564 49384\n8423 32146\n86274 99749\n79661 97632\n52703 66033\n50375 60566\n82581 95228\n22298 48676\n44390 50059\n15738 27648\n41987 94292\n35336 85271\n13536 77214\n94011 95657\n27805 64893\n28477 66134\n44603 95140\n18756 22019\n2733 87205\n7281 85590\n24986 59010\n24269 67826\n25266 55652\n18768 50472\n57147 72804\n25131 50062\n16904 22537\n21731 64715\n47881 84696\n52066 60050\n14728 95998\n3714 78589\n49502 52068\n4700 78185\n51740 69682\n12547 45125\n19854 28502\n36356 69235\n69699 84790\n36368 90812\n1945 95883\n13863 15403\n3918 54844\n27765 71884\n40439 85336\n34058 46552\n17957 78952\n29153 77579\n11988 63780\n1850 94995\n88577 92694\n15258 39528\n51343 95328\n37165 94324\n41054 94663\n50724 63945\n57113 86091\n1162 12850\n16429 67837\n11486 84622\n42434 77954\n36037 96501\n12023 61045\n9672 82580\n41539 59978\n12311 68125\n13746 60732\n45700 45871\n3567 97732\n1380 24096\n56183 64310\n12120 18200\n49995 98441\n45823 69822\n8172 90662\n59264 93484\n44995 99117\n81653 93070\n28773 79417\n7495 73543\n4651 40567\n4472 96808\n16011 50128\n84424 89158\n46006 79426\n8473 44054\n2768 97639\n31019 43181\n45158 89767\n31008 86219\n4967 63868\n42840 98610\n10540 67585\n61278 90480\n8488 85722\n27204 27650\n44400 64099\n34516 66655\n17433 55199\n6374 38562\n24922 54601\n26910 72503\n77990 87437\n31902 46946\n3243 54605\n24094 52163\n15857 58917\n24024 85009\n19745 98281\n13978 18400\n41234 49742\n244 51194\n1778 92332\n6849 29675\n43268 79213\n76131 87909\n7789 72562\n12621 38044\n77220 80674\n66315 69152\n16114 39056\n4545 73412\n12757 55011\n9488 38897\n51706 85160\n20433 33114\n53706 81740\n20431 67245\n37775 48212\n35765 36165\n22681 55203\n67576 72118\n24806 80819\n63634 83134\n3264 38748\n12800 39123\n22082 68969\n22776 50106\n93860 95537\n2463 12266\n40138 50088\n5463 20247\n35575 70878\n20871 25402\n9233 38849\n38790 63847\n18751 43593\n61564 85224\n2268 86146\n9817 77637\n54202 67470\n53446 97636\n54631 97721\n2068 23229\n59442 75903\n62315 93310\n45700 64620\n281 49844\n56924 78903\n19935 86279\n73105 86373\n46401 85987\n31584 39300\n29700 63119\n46969 50652\n82324 95901\n13557 84331\n19066 20635\n19361 93005\n33649 75239\n10499 38438\n37939 82012\n41875 50598\n15182 56318\n730 12796\n40438 91001\n9847 13603\n13254 42924\n59328 98489\n37278 59852\n23325 94118\n8529 49086\n13814 79109\n44412 84244\n44636 48405\n60579 76780\n32242 52650\n59363 90254\n23344 25804\n32302 51237\n9402 53399\n13511 94295\n84236 97456\n16296 49034\n73940 90812\n64628 76540\n2729 40856\n5667 63399\n21291 59676\n58091 87096\n8835 12941\n76426 97884\n17784 50391\n25723 60351\n35136 45951\n247 77867\n79998 84066\n2271 48174\n30815 31511\n5022 69306\n25143 97249\n63105 76565\n21456 42728\n59519 77256\n24152 42387\n26971 75158\n74548 82086\n93354 98304\n35709 63062\n13949 93760\n3978 99967\n10531 99619\n15895 69652\n3941 95693\n54317 59914\n57299 76310\n57435 87429\n54992 63216\n41187 49303\n36819 67818\n14921 52209\n23379 89189\n4868 34571\n56760 75535\n4112 5428\n17983 79619\n10735 62878\n25034 72977\n25395 64950\n13618 48880\n3320 10869\n43790 56483\n30707 81197\n13915 28178\n44180 66900\n38390 52188\n42856 88971\n75919 76292\n43964 78178\n40306 89044\n20535 91728\n52353 59139\n75578 94684\n38218 88863\n26882 40473\n62953 88080\n4417 16051\n49876 71692\n51527 55246\n51293 71179\n29049 88450\n29921 31314\n1516 60820\n93261 93706\n9996 75514\n28674 45003\n56988 75415\n14683 20914\n32746 98971\n6598 64911\n27103 43580\n51443 88774\n71399 83840\n3698 48515\n26904 66791\n22367 92674\n10451 90258\n3550 62795\n64586 79799\n23868 65131\n4372 40064\n50724 81079\n29525 60170\n27625 86357\n35389 64879\n80024 96368\n41090 88102\n1214 57219\n11911 74907\n53360 63151\n35232 77429\n66197 97627\n24479 65799\n49377 66024\n40826 54315\n14107 78301\n47205 65288\n31683 58560\n64632 90660\n30002 41990\n80466 82557\n20518 35648\n63315 75391\n56965 98509\n71213 90794\n33598 70424\n90874 96719\n31280 85000\n46046 95671\n5116 86386\n3390 93224\n44093 66329\n50631 61739\n32310 61390\n24221 93332\n10622 20751\n40024 70490\n89485 92513\n4966 86273\n37476 46980\n13560 56216\n40311 82581\n27683 63580\n44348 47934\n36773 62821\n9105 67649\n37478 87452\n25614 26585\n49370 94619\n2915 48067\n41524 44005\n35074 97766\n60566 65866\n40939 75829\n44528 49056\n48557 68501\n63971 64575\n11333 77708\n71281 83998\n2234 38827\n31874 41960\n21057 37293\n57202 82284\n25950 51897\n28208 96760\n19800 56162\n48642 80490\n1433 46634\n12923 65867\n7108 12508\n6114 69032\n70747 85806\n43701 97065\n17030 24773\n38218 57188\n32360 90840\n20638 35429\n30815 87283\n15384 68934\n5615 21036\n10531 34405\n321 37090\n14232 76224\n53948 74599\n78312 79148\n37097 56828\n84030 98855\n71078 76861\n38295 95249\n84617 92538\n35167 87518\n28634 96742\n35279 68026\n31673 60338\n66844 86147\n37143 61716\n48336 51953\n65348 89014\n45941 54969\n83067 91402\n17554 69359\n22821 50857\n41314 58018\n13929 65081\n22642 82014\n7186 46185\n28111 56455\n48839 70836\n23393 23445\n65295 95315\n21824 35106\n4800 59405\n32078 67844\n34346 38459\n20242 59005\n2294 17186\n23898 85297\n24962 33782\n52784 67813\n23484 75338\n78231 94785\n34806 60783\n1975 30785\n1187 28384\n6438 36538\n69511 94315\n6421 16296\n20038 53921\n32896 79181\n47325 50206\n13202 91891\n69847 80399\n47607 67411\n17160 56502\n19141 29327\n5117 84034\n67213 85864\n23538 36636\n63556 91312\n3506 51161\n15144 68142\n17772 88516\n75431 83789\n23625 25809\n48823 80523\n12239 51196\n62863 70165\n55156 99556\n26469 48376\n70054 78280\n29290 94421\n16677 60692\n37865 87655\n14912 66042\n52460 81282\n40054 69885\n25468 38576\n23401 93930\n32825 88834\n41993 91183\n72254 87122\n14079 44959\n25994 56677\n37225 98270\n25360 56547\n41425 75306\n68030 96436\n3519 44095\n39491 98879\n48889 71301\n80242 85285\n55083 56153\n1424 31892\n34493 94242\n43668 98259\n41876 87703\n13331 14173\n75401 96300\n79830 98344\n45846 75871\n87519 99930\n11876 35094\n85317 92144\n16827 83769\n12917 13981\n41203 55717\n41686 90677\n13737 64927\n29325 51170\n29806 64203\n76212 91148\n63035 98430\n15479 49103\n4307 35197\n46066 87632\n27335 56100\n38140 46318\n35267 51255\n5254 84842\n39649 67530\n12989 14126\n30181 50539\n27573 81407\n83784 97052\n16739 67712\n40064 59060\n45014 60985\n472 41586\n62909 73287\n81372 82591\n13682 84809\n23114 33577\n30754 55819\n80201 81166\n11125 73932\n18681 63380\n25166 32341\n24879 83066\n19663 37405\n30272 90688\n10382 77247\n59561 68935\n66196 90726\n27761 68614\n65150 74941\n15509 33804\n41335 81250\n18987 33345\n28308 78240\n12896 42138\n47904 76265\n19424 83077\n7613 25902\n760 6525\n17915 64444\n65252 85492\n24282 86476\n19207 97911\n19107 77956\n81398 93023\n45227 78021\n30734 83378\n1093 60525\n34036 43395\n50736 60095\n54635 74596\n19869 55100\n72362 74469\n58413 98217\n15960 88594\n51164 61780\n32453 47457\n37659 57539\n20112 94413\n10758 94048\n29911 49393\n67427 78334\n18737 58450\n50380 99290\n71022 88090\n72800 96340\n41130 91010\n19718 63588\n28270 99547\n37351 46647\n29582 53305\n21032 24810\n31877 81138\n17925 23140\n9208 87898\n27177 90445\n58049 89964\n53022 72895\n13327 55495\n90409 93776\n76437 88883\n46601 70514\n65559 70443\n10084 10650\n12788 46644\n11750 31034\n9896 88296\n16036 37763\n44481 70546\n30976 67894\n43020 43500\n43474 99723\n13003 85030\n62563 85430\n38150 65919\n43413 55187\n57014 84789\n9654 26075\n41420 69806\n53239 89926\n30634 95923\n71239 92431\n329 97010\n62132 84795\n33011 35454\n38702 39441\n46386 48743\n41743 74846\n34687 49339\n51656 65418\n23210 53292\n13812 57149\n34794 42338\n7492 28951\n39623 55065\n66523 81877\n71525 79324\n31570 68415\n84350 85283\n13997 70022\n58600 74789\n73082 83372\n58695 63164\n26349 67423\n12179 68902\n36567 69743\n5646 60127\n23254 35625\n11882 87265\n35260 57405\n76062 91875\n62292 79160\n20818 42923\n36220 75524\n46219 60547\n19864 67831\n40704 88830\n19628 55736\n19788 79121\n54617 86675\n11614 24810\n47970 89233\n90770 94753\n43453 93885\n15489 31270\n7424 73056\n58572 94353\n4782 83448\n15842 73004\n36177 58321\n13426 69406\n78447 86679\n39654 91093\n26888 49841\n64467 75623\n30304 43172\n43218 86304\n27837 61010\n40198 78286\n34771 34786\n28017 95975\n15832 27615\n1757 79519\n23375 40732\n3989 30691\n29599 87801\n62627 63777\n4399 63010\n38596 48250\n9451 42800\n78628 91669\n24408 36857\n54770 55505\n83137 91050\n31035 41652\n42004 64630\n68494 87260\n56670 79967\n27294 44552\n10361 99530\n59100 78024\n32865 63786\n32516 86767\n18612 44023\n17914 60520\n21976 88536\n79385 93614\n44626 47106\n12304 61467\n94183 94580\n14141 32735\n59658 84071\n45113 57388\n8377 12177\n24332 60002\n65601 97982\n10725 55600\n35387 58592\n2385 10157\n30933 49860\n51215 82466\n27418 75063\n64542 82339\n10663 45651\n15843 48375\n1483 47960\n442 33617\n50704 65412\n26317 76844\n18551 42051\n43881 44499\n338 16287\n74642 92006\n10196 81374\n6455 32275\n3583 64221\n50636 81088\n11105 74200\n27652 98997\n43122 76568\n26712 99129\n48293 78856\n55106 63302\n52725 77963\n39818 46334\n66502 73050\n15268 20078\n43962 68882\n54789 95206\n92981 93440\n56157 56949\n3815 32571\n20542 25692\n18060 58428\n47453 98368\n40583 50635\n34010 72945\n1644 91781\n342 96791\n74566 81736\n13279 23072\n18650 31698\n36545 65838\n49445 62619\n37693 72976\n51527 66817\n43486 64439\n44441 58334\n38610 89183\n73504 79872\n53002 88192\n42296 42912\n8584 44543\n59798 87899\n30764 71487\n15405 92208\n5693 9167\n72535 84332\n39160 80479\n47361 92426\n81141 90546\n15981 58300\n12964 45835\n45607 82949\n40650 52455\n30743 85644\n16863 81904\n46889 58181\n56919 87415\n40270 94193\n26486 40858\n24249 51879\n52797 77794\n53138 90178\n31184 39918\n21 47326\n46805 60612\n7819 18572\n333 40046\n56882 98418\n15632 16832\n24266 76054\n74673 96283\n33818 86416\n7894 66699\n5775 20047\n16754 62517\n31803 90635\n35854 88403\n35500 80668\n1949 37615\n36757 61249\n28415 83852\n2322 18962\n55528 99121\n6568 95533\n1208 6724\n1434 34235\n11181 14347\n6839 49847\n53048 79002\n10678 97047\n60715 67100\n21496 75090\n42048 79150\n26892 89929\n4359 84999\n61939 82899\n38136 70542\n8065 89743\n39056 78345\n53185 85820\n15271 36568\n24972 37805\n88271 96952\n4704 68811\n39978 70711\n41684 86712\n14693 93136\n24027 99611\n11796 31651\n34160 79440\n1012 3553\n43540 68904\n17468 36938\n6997 55950\n49416 93499\n23875 42765\n69218 92151\n50586 54440\n74521 86327\n64008 79705\n33971 42104\n24219 76442\n4592 28785\n28147 69908\n9441 68643\n7740 90934\n31400 83331\n17544 35943\n8028 93231\n39359 61876\n61580 77927\n81254 99938\n30839 33262\n15955 53581\n50936 66276\n73323 84582\n23681 30878\n10519 26676\n60254 98555\n66793 91247\n30643 45238\n964 97846\n6350 58304\n88600 89529\n37 42619\n12978 67757\n21108 37048\n16424 32922\n46276 71713\n55428 95476\n13170 23534\n6100 43243\n73674 74515\n5588 25338\n24687 33815\n47882 87479\n3452 76215\n32318 66769\n53939 71659\n53624 89625\n9903 13361\n48652 72449\n47259 69732\n1824 18712\n1491 53182\n36383 37125\n55128 86659\n9061 92938\n45242 57027\n36660 43888\n49990 77718\n61978 87049\n42378 72311\n25034 96785\n28359 95827\n50049 88439\n37630 56989\n8533 51950\n27281 31144\n5827 76533\n36679 50588\n47058 72821\n26931 59899\n67705 91948\n28752 64364\n25323 90801\n36897 90426\n74106 93479\n11569 20911\n39533 49758\n34807 48534\n57211 65334\n46098 75567\n55964 94570\n4780 82591\n73953 89947\n19039 63313\n2722 46187\n13305 88612\n28372 66173\n90630 97708\n68777 69215\n3118 89486\n38011 86072\n20661 75784\n21542 94998\n2277 88658\n44776 51889\n34325 45087\n51480 81063\n79500 93406\n59704 69228\n22797 30494\n28300 96838\n12739 44300\n2381 35925\n6326 98575\n45016 89881\n38567 93444\n48722 49692\n10036 66824\n48968 85368\n8940 52158\n47053 69169\n28635 65365\n79884 82732\n48894 51010\n15155 58019\n35047 53324\n14385 47849\n31351 92994\n45979 57105\n14111 41561\n32407 92886\n5049 7971\n51176 80233\n38583 67863\n94517 99279\n16225 98619\n10879 87940\n52403 63805\n65218 93280\n6490 97960\n52431 98506\n28394 62178\n53217 77676\n63604 96806\n74903 85098\n37625 70837\n34197 97235\n12072 35264\n85240 94502\n3016 92854\n52560 87420\n36987 98859\n4294 81694\n1318 71875\n44162 89285\n19490 53890\n36265 49045\n55119 92804\n17785 98975\n7420 97337\n42522 99786\n64508 84251\n55323 78481\n1964 29611\n16339 75546\n41132 63570\n4020 52820\n55712 88350\n2553 52839\n25602 54099\n16749 56402\n47646 66259\n13010 25535\n31983 94512\n40376 46571\n17826 84346\n35062 44881\n65811 76552\n39522 85936\n43196 52357\n19192 54110\n15215 52312\n65848 86155\n88463 90074\n24155 53151\n10020 71997\n11757 94779\n79914 91803\n18807 55544\n11465 70130\n66538 72822\n31587 38789\n2383 72381\n41389 79449\n21073 60653\n1831 92405\n4803 10516\n34384 44912\n34013 71985\n12169 67985\n15507 52350\n18149 34204\n11298 32041\n60136 97517\n15450 75576\n378 72510\n6114 63822\n25630 90159\n47261 72809\n19260 97205\n89942 95194\n5450 27621\n63672 67500\n4582 21759\n252 19428\n30983 69627\n61593 81868\n18272 19705\n56856 73167\n3066 14857\n37625 99731\n76031 97379\n16581 75246\n14003 66414\n74444 80803\n23230 27553\n7661 60422\n30715 80950\n26297 48177\n38385 93323\n66534 71893\n12634 18661\n16392 59862\n39756 48145\n22191 46348\n28080 83864\n19831 89632\n45268 79230\n465 69237\n11242 42273\n2001 16455\n18563 79585\n5081 5179\n5876 50655\n64557 75549\n38377 60657\n28184 45211\n16676 73021\n48700 86354\n34041 73749\n64772 98902\n13564 38811\n73559 80970\n22057 59331\n64511 88060\n88776 91807\n15260 56177\n26998 85205\n6285 43729\n10529 60583\n13980 82249\n9093 31188\n42793 49448\n6693 83812\n15330 94582\n51484 96959\n5126 41293\n53746 55777\n48585 63279\n26163 47946\n13546 14008\n66501 68617\n58803 68589\n53640 93365\n17418 96358\n49021 90081\n43729 45314\n43149 49983\n51006 93684\n55466 75788\n10073 23136\n4565 49502\n74239 79252\n37721 69080\n53793 63700\n34666 56320\n11190 34081\n43540 86968\n21580 67766\n9526 29845\n40979 58146\n4016 90749\n38855 81903\n6848 31968\n20634 82388\n49392 60425\n12114 82004\n22111 27709\n33325 81473\n11780 58243\n51670 62868\n64816 92907\n18941 84797\n3598 69075\n720 29656\n37437 90755\n2435 92959\n11441 49412\n17218 66807\n16713 84683\n7064 55336\n7268 47239\n67163 87253\n74755 90524\n57410 95252\n48534 84881\n53988 64763\n60787 68597\n38684 73701\n49265 91209\n41525 99888\n76356 93308\n10058 65950\n10564 76142\n7720 24202\n59818 62443\n27108 44171\n69370 80740\n39264 55976\n57176 75125\n6217 43550\n76814 79913\n10289 71825\n49058 74575\n91901 94064\n49302 95020\n16654 83965\n42529 89829\n55218 95947\n31037 63063\n34383 96367\n14641 14867\n4315 33165\n10724 44491\n91500 93988\n29252 96414\n48008 92887\n66626 93735\n26410 50823\n21910 23079\n18119 24959\n54874 55567\n56020 78258\n37780 55701\n6037 61733\n25433 95028\n41005 70445\n5511 24991\n9121 84419\n36235 94705\n34792 79470\n20136 58429\n51310 88021\n68884 80034\n8964 56557\n35010 39672\n68705 96750\n72705 91803\n97055 98315\n19316 82247\n4681 24555\n51069 99517\n31008 57673\n46935 79043\n63810 99888\n18437 31207\n43984 48496\n29722 88377\n62761 71315\n7136 50508\n83948 95306\n26779 61285\n58402 83017\n26647 39687\n14797 94524\n66269 75486\n12378 82546\n42069 47676\n24639 91219\n4497 88062\n76772 87891\n15783 62168\n81388 98827\n6156 32711\n4246 48571\n17197 30082\n13311 17397\n39052 77147\n7472 95798\n16350 76183\n73065 88552\n25820 46472\n23120 81121\n4527 82418\n5486 62805\n18231 30226\n3595 7587\n10519 38865\n71256 90937\n922 83265\n64936 91230\n1898 88887\n30769 38406\n1551 98081\n24566 47596\n21260 66339\n61702 69529\n35690 40279\n25741 42078\n6970 70352\n50458 75048\n2690 10279\n26505 29650\n78947 90730\n53545 92670\n52756 80472\n26492 53207\n65601 96058\n21763 80887\n59344 95881\n5593 13310\n29756 83497\n22148 58061\n33180 59324\n50947 81959\n46406 66615\n9806 66755\n39857 57015\n5074 72855\n54034 62592\n12513 25666\n12710 56900\n60023 61906\n66483 86958\n31353 34466\n29087 33531\n41274 68629\n27617 38819\n27433 56627\n43074 99085\n20784 26584\n27491 87066\n3126 49681\n6374 53552\n87556 93487\n15536 88094\n42203 55162\n4189 32899\n24640 48976\n17865 22789\n794 91533\n14926 99420\n7353 50113\n54384 61349\n40340 97480\n56208 77914\n45071 50153\n27041 60706\n63287 99759\n16047 21544\n64292 69731\n6135 95444\n19984 96326\n16829 80694\n14758 14924\n25987 59736\n5976 44754\n29365 95366\n152 95667\n21913 23327\n23845 67833\n12814 39299\n13131 44220\n89558 98891\n30642 71351\n32103 65757\n1960 75465\n9110 44656\n14359 95671\n20116 60386\n31823 71527\n21135 34541\n5889 60933\n50991 84089\n30582 68290\n32526 76020\n22084 65926\n34617 39152\n36581 56473\n61037 87071\n6952 14425\n34364 51569\n12403 29465\n70414 78948\n23300 79473\n83973 84947\n2752 71530\n59735 69925\n32609 68876\n35065 92763\n25514 52978\n11151 18985\n61547 73489\n37932 81904\n11552 43423\n39639 94843\n36399 95053\n49362 51378\n18618 94986\n51501 92472\n62129 71560\n61000 71119\n10509 92042\n49292 80150\n29440 35555\n66901 98180\n28508 28560\n38709 52797\n39544 58688\n67797 94103\n19113 95128\n54763 97136\n4402 47464\n53571 79947\n3178 36457\n18000 57051\n32335 47157\n35123 75281\n25264 39147\n23790 28466\n43961 79014\n1033 30902\n24338 44669\n50537 67312\n30610 45238\n28139 71014\n66992 67253\n5787 34207\n15909 71406\n29689 57200\n12167 72705\n5528 29255\n39507 98183\n94434 96726\n29111 96792\n28368 30467\n32030 59158\n21391 82827\n40022 75401\n54244 84872\n51353 90453\n2716 38805\n64091 69609\n88447 88763\n37763 44953\n11737 63410\n6730 20496\n49990 53904\n12229 19296\n25998 92952\n64233 68480\n28826 69049\n41071 83283\n1372 31036\n12290 89819\n7407 9414\n62189 94007\n31372 49915\n8868 78833\n31738 59116\n93565 98691\n73223 94984\n55024 81402\n23689 61023\n10736 26119\n48318 84216\n3561 11893\n83550 92594\n7512 26679\n70343 87671\n65214 71117\n34164 58917\n16579 39502\n75324 75340\n10857 56618\n58208 90837\n33981 45853\n25452 62496\n9426 48307\n42413 69979\n62658 85006\n48072 65181\n89188 98125\n23296 45175\n23787 79646\n18028 52957\n47283 85150\n8142 63958\n67318 94635\n36228 85510\n43847 86771\n25086 52768\n2258 46283\n53425 70451\n10922 62926\n21048 91026\n22606 40529\n7353 79407\n9871 38817\n17702 48213\n89848 94115\n30837 80607\n9007 65288\n13517 83220\n18345 97433\n70966 84480\n20493 38579\n40388 47372\n22724 87520\n26275 96547\n10641 67973\n9507 46803\n25197 44560\n26109 63804\n4880 22075\n59901 71803\n32477 98795\n46313 51709\n27949 36085\n20691 24475\n7049 35858\n39489 76083\n49388 82817\n8176 50908\n31590 80264\n20929 92502\n4897 37896\n21115 40720\n5699 27404\n79158 92961\n2805 8733\n67665 83173\n4894 15095\n11466 59582\n10901 17052\n2745 64558\n10994 83724\n32601 99216\n34751 53555\n44780 75972\n24548 33311\n29001 86462\n18785 30448\n32734 72500\n3977 48717\n4261 17505\n9878 35429\n82428 94361\n2797 99044\n72192 74523\n60408 71215\n11758 84658\n20432 32446\n76645 99526\n34407 45268\n58087 84743\n58865 66406\n42834 65223\n30201 67564\n13245 88250\n24149 34926\n32174 40949\n61164 64347\n56250 60134\n23779 84018\n25300 64632\n26965 98736\n25763 88724\n15427 49717\n40371 83019\n68933 79385\n58142 92067\n23538 98669\n48360 90480\n18311 26157\n26008 41060\n45759 64622\n34055 91263\n93534 96886\n11518 52677\n72035 76120\n15823 21082\n23065 38068\n13552 76866\n54380 97773\n53908 93317\n69068 81917\n77010 97069\n35077 57486\n33385 85981\n61528 69054\n57390 96811\n3411 54931\n82980 87015\n42161 62740\n11305 52519\n76930 84015\n65547 65601\n22178 90031\n1505 52170\n6256 46951\n52404 57967\n2019 32068\n24810 70007\n46371 68130\n8093 43629\n6556 56839\n16935 32906\n4149 30393\n33432 82240\n6446 48647\n10711 40545\n5213 33825\n5039 9827\n45813 58740\n9910 72760\n41270 45513\n3372 44544\n8475 82731\n2891 51433\n47819 70002\n23154 83527\n5186 83426\n22456 28721\n15092 68035\n75041 96099\n18904 65954\n20886 29145\n63729 89734\n21439 29247\n35936 40512\n42854 81394\n50588 93580\n35202 99602\n16937 77517\n33811 75676\n38362 88502\n10584 29007\n31286 68471\n53490 93124\n13880 46861\n2351 93382\n8779 28329\n18237 38643\n7440 74305\n43902 58748\n34732 97667\n22291 71021\n71081 71746\n66544 88786\n77293 89670\n38986 88369\n32783 69992\n15514 24717\n7194 67448\n46203 46334\n64564 94030\n64705 73835\n20322 77999\n12017 72288\n1733 66801\n35225 49586\n58217 92397\n39151 66859\n46181 67128\n59257 62277\n17434 83881\n23727 73689\n78570 82833\n52566 73526\n4460 69477\n4683 28523\n37048 74071\n7727 30246\n69725 96549\n36322 79573\n22260 60031\n15629 27952\n40624 85508\n52035 88868\n2754 38014\n5152 43959\n29965 94327\n58854 69413\n50421 65814\n34477 81026\n1422 49305\n46193 46891\n10354 40190\n6777 15211\n26120 40664\n14615 88383\n20851 75912\n30494 47129\n39552 80965\n15549 23917\n13293 59890\n13675 25225\n20568 56658\n14798 48985\n29408 95564\n78761 88901\n42372 46895\n16849 23314\n9085 96322\n131 62070\n56690 59900\n47503 53397\n1802 7841\n18608 74424\n8608 54268\n42272 59999\n3288 8931\n65357 82832\n2951 87009\n26586 73005\n6665 51863\n27116 57193\n12037 29483\n8845 53616\n11574 46377\n6959 73377\n1641 51584\n15573 90452\n24340 49566\n55063 63246\n28488 36696\n48954 97884\n24443 40196\n58283 73088\n37777 92513\n31953 97630\n20891 32384\n12780 49791\n28608 62722\n34472 87425\n43284 93365\n49316 96315\n8119 82163\n36169 91829\n7037 51509\n50906 96517\n28663 90584\n74002 98082\n18055 35032\n52637 71564\n15755 31553\n15309 37771\n82095 86726\n7221 25170\n26698 83575\n26431 52747\n44910 88064\n366 2954\n52856 59511\n47530 81074\n76195 97938\n2890 61024\n82620 87890\n3698 19831\n66994 71851\n33965 89165\n87009 98776\n32481 34856\n27238 81905\n13522 52738\n53634 66902\n13525 41003\n35575 90999\n9308 78534\n4875 16797\n24399 60000\n29022 54439\n48013 73905\n68967 94495\n46694 56744\n37638 63497\n31760 72572\n5401 81880\n29234 42434\n49106 70168\n20514 76933\n18931 30877\n68363 83701\n1159 11574\n26376 36854\n4385 63002\n18343 27661\n63148 95684\n18312 92424\n3415 32407\n18959 72869\n84026 94115\n36730 95571\n73280 76843\n30386 81745\n36899 42126\n12996 22599\n54488 58508\n35131 89847\n27811 83545\n2177 55410\n43134 75185\n14294 67659\n30891 97120\n86583 90961\n12511 63789\n48900 82880\n30552 72335\n29349 48574\n15853 77525\n60710 75262\n42337 59183\n62956 98277\n1942 21111\n21075 77783\n42891 88077\n14418 29536\n67440 80713\n55573 78671\n45514 48535\n42105 63654\n4148 69474\n27574 63835\n2794 66968\n16830 54483\n62021 90741\n37742 42726\n75396 91173\n9293 79007\n60713 76500\n48329 58452\n24039 35628\n24301 49420\n16370 86102\n7677 72713\n12174 47689\n21476 98198\n40951 64645\n6361 73863\n66232 66266\n85644 91848\n31308 36215\n16270 32456\n3387 79115\n2535 76448\n61817 99684\n4899 43730\n6619 86446\n30918 74104\n38392 60243\n50937 93310\n55864 70386\n56938 94153\n16451 30745\n95104 95571\n35185 78365\n27154 42341\n453 14177\n38036 45439\n17458 40046\n58557 97981\n16321 34904\n20046 67411\n69153 70810\n19622 74476\n26603 76227\n32946 62026\n60576 71129\n12495 50388\n43558 61204\n4215 28035\n37631 82360\n11238 14703\n5533 12197\n89698 94237\n2737 85133\n17673 18051\n35137 35826\n19115 94151\n19156 53017\n75052 88900\n22339 42762\n48515 83325\n46685 63647\n45390 62651\n31494 38380\n14497 50191\n34939 36234\n30483 48935\n77151 97400\n61434 71540\n19508 86840\n54481 86881\n60512 99362\n40941 74675\n9464 63261\n37936 39834\n24210 72224\n19599 89282\n34721 81143\n17680 56835\n8718 59258\n7792 45911\n28363 57698\n22067 63336\n11252 29830\n24944 93249\n19988 23199\n94216 99903\n3811 79487\n56128 86475\n22155 96170\n41226 73172\n37321 79674\n93330 97743\n16796 92679\n50136 60122\n16796 84402\n39937 95850\n3815 92192\n24177 70311\n66876 88211\n42246 52832\n10873 81470\n54679 85169\n6762 99885\n18179 49287\n18199 50908\n47296 94538\n6198 80154\n44078 92985\n21185 67628\n4869 37076\n55603 83802\n51581 78647\n33637 81009\n25914 97667\n56392 63279\n44092 44273\n1408 22825\n55427 85693\n80408 87988\n67492 80554\n891 8005\n22186 33246\n3808 59127\n95334 99047\n30407 30929\n9805 33733\n5670 74746\n806 41421\n13695 70441\n29952 44789\n66355 92339\n68622 94015\n38492 59020\n76092 93685\n12471 29962\n32003 95219\n6884 34976\n90982 94954\n10424 33150\n72824 84391\n7080 12010\n44321 65984\n15064 46330\n61154 62657\n14563 94896\n48447 68940\n60181 87034\n25215 77690\n40603 77906\n31172 74307\n4423 21083\n20330 24775\n21696 78607\n88464 96044\n7046 35920\n10954 93048\n63952 89466\n49602 78229\n40827 55714\n12596 18251\n9768 20502\n53807 81763\n38211 91615\n68669 80886\n22552 75308\n23603 59591\n41221 48586\n23357 62491\n72245 93360\n71855 86438\n69162 96095\n57103 92706\n11664 37507\n47423 87796\n32865 43317\n31039 54153\n39097 70018\n8439 11969\n4524 40408\n73794 80938\n14876 92588\n58509 98623\n56196 69524\n27575 60052\n69524 82255\n73475 83683\n1945 79163\n64880 82602\n7183 9465\n74591 79204\n14461 34192\n26890 42605\n26540 49776\n70572 95562\n3977 93786\n32499 80971\n29115 49694\n5476 50998\n30442 99759\n13017 63038\n16782 20832\n51403 85100\n19881 20002\n3911 80430\n39091 56726\n28803 54722\n65459 94339\n20224 65368\n5264 74712\n24445 28099\n8487 62576\n32641 76648\n44602 77363\n43927 88128\n52102 96790\n43036 44413\n31385 92547\n25156 86687\n17512 38610\n64643 80350\n54635 65400\n41425 66167\n17996 64647\n15581 51889\n70810 94945\n31468 34296\n11955 56132\n65760 91671\n1551 30779\n9139 92835\n40607 83944\n4676 19707\n21444 43339\n78607 92944\n7767 43512\n2937 24178\n37619 54977\n42167 65129\n34377 42049\n3645 7108\n41380 64707\n13103 56125\n37762 38452\n41378 61359\n62596 85570\n77992 96041\n22116 37709\n36511 64980\n3225 69860\n52761 58078\n8923 24666\n26846 39196\n6267 72589\n39146 58846\n17397 93204\n51755 88147\n9375 84831\n22352 97605\n15771 17325\n53638 87747\n42122 53028\n1178 82724\n33705 72371\n20028 77206\n3987 81782\n50265 97240\n6043 72948\n38416 48158\n94112 94206\n52865 83720\n28450 62842\n2750 42417\n79615 81634\n44810 81891\n81563 96877\n9337 72515\n33580 57005\n81051 91786\n29092 30178\n28195 53905\n29152 42127\n20703 90243\n28799 47162\n12598 22205\n6571 93792\n51130 55639\n16883 38577\n1626 92494\n93212 98492\n32642 61263\n47910 67654\n28359 95479\n72076 76567\n34958 51501\n1212 63390\n81592 98477\n131 68227\n19543 90676\n18304 66849\n14993 47891\n12756 53300\n4042 66633\n46327 92462\n36575 59435\n72056 97125\n48593 88148\n19533 91437\n3020 78802\n38103 87361\n43921 69296\n2540 79978\n12217 71007\n91246 96582\n16470 44377\n7480 42494\n39485 61282\n28692 83163\n327 78021\n4956 86873\n14532 64957\n16946 52041\n38053 63322\n31860 74664\n36863 66831\n65447 85570\n26448 80984\n64850 96444\n1605 82957\n37905 75761\n6722 39947\n7139 39804\n43710 88434\n40125 94492\n12431 60949\n77221 85259\n23221 84697\n63112 90805\n72022 73081\n76696 96628\n2948 30982\n4336 72999\n92263 98595\n6749 13102\n38311 53856\n4236 21290\n2771 11470\n90644 92015\n26163 79771\n133 61111\n10421 13885\n36258 93029\n4197 23350\n47000 74242\n81851 87352\n8639 80142\n12951 63571\n13584 30951\n48805 60208\n79558 85709\n40568 92325\n12488 19678\n54072 81287\n59891 72642\n11142 12500\n49687 61052\n13396 34897\n10500 30387\n485 35174\n60372 96693\n15308 50665\n43447 97100\n29209 44777\n46290 86569\n19867 91640\n9936 34956\n9824 96068\n15411 44310\n3251 6252\n41496 51442\n6721 97221\n5088 48370\n26389 27733\n16095 67858\n30605 84434\n30028 51856\n1253 88059\n52073 95454\n28137 73932\n7054 87169\n44658 53356\n69925 74753\n3300 23382\n83105 91724\n3073 86847\n44855 47588\n25059 40285\n36882 67124\n2754 6176\n18849 61471\n69791 95246\n49062 59260\n11455 59200\n39834 83326\n1187 28894\n70633 94548\n40848 46684\n8761 85672\n28669 40302\n24217 73225\n51610 64697\n46059 78634\n25923 62084\n680 34649\n14727 21457\n32932 33952\n84848 86424\n12931 80294\n17846 52521\n17959 50729\n36746 87031\n17297 97981\n1934 10282\n783 1892\n60222 89962\n15647 40989\n1914 93684\n67176 75245\n32318 35443\n20789 21689\n48520 95358\n34259 53025\n11203 78355\n13323 51337\n63630 65866\n28756 79819\n1643 80010\n7580 46758\n34150 38214\n24165 38277\n26723 91937\n4305 73317\n51247 60733\n20203 38716\n23665 33088\n47131 51367\n71969 85318\n36848 88168\n44957 80444\n4021 87184\n57975 84495\n16009 67389\n68608 94404\n62256 63874\n17083 58647\n40341 80739\n11811 19217\n1938 90396\n15124 78646\n46920 54294\n5739 97148\n67903 78541\n64417 67448\n7878 30962\n49935 72506\n44267 61602\n32778 44115\n59327 93370\n17259 68348\n23952 88932\n20887 70610\n37194 88982\n66070 77640\n12918 74288\n1496 48471\n63253 86274\n38239 91486\n28253 91810\n19471 54621\n631 54013\n34897 92156\n9099 46962\n8973 73077\n31579 91210\n12545 30515\n54820 78003\n31004 69676\n76778 91405\n35766 75494\n35989 41160\n69775 84204\n42036 45784\n20750 33275\n11331 80088\n9521 21990\n11639 15404\n19863 65147\n39441 71480\n51158 77691\n56239 77608\n6178 32465\n17657 19763\n31049 84924\n41208 92546\n19331 50882\n7460 58990\n39508 66994\n45601 61832\n79177 85540\n24427 63398\n41374 61288\n797 90678\n22768 92218\n6249 59104\n31977 38732\n45203 86931\n296 29582\n53423 95333\n19601 69505\n41777 71814\n68952 82855\n23246 31239\n25950 64056\n23882 58173\n64168 67468\n4362 30015\n58369 78818\n5280 89004\n40939 98860\n68696 99101\n52276 67223\n39185 64744\n9019 60160\n40843 42933\n34113 55409\n50685 62535\n43576 59596\n55679 89526\n62997 94835\n16005 91652\n76024 76902\n921 59136\n52231 73333\n5414 15387\n79027 85563\n23840 80155\n46181 62488\n11148 76602\n15602 98403\n21126 70663\n4412 22004\n36084 66856\n28067 95442\n79311 84666\n52821 86846\n2889 74632\n18812 24064\n10142 78780\n73510 85449\n14579 39400\n39305 46124\n64625 92146\n62690 91995\n67682 81842\n34368 77319\n31146 75174\n25071 90483\n88662 92925\n25728 83579\n62433 94542\n8354 98110\n4509 91560\n62821 93889\n52086 60486\n35593 71044\n72444 91961\n29968 63609\n33939 46330\n46153 82460\n46040 50408\n39827 75985\n16492 22945\n22616 92246\n4058 9994\n49851 67894\n49541 99262\n34820 44804\n11311 19559\n34567 75518\n42152 67784\n80071 86454\n2380 33142\n62349 68401\n69731 87814\n9503 53882\n63825 97777\n30137 48594\n19736 53786\n22542 61052\n28865 78245\n21969 61725\n17207 30531\n1096 86381\n17666 30357\n47588 68133\n38782 88701\n12597 41282\n28461 38479\n48074 72343\n68379 97641\n35622 73835\n56676 99120\n71981 76217\n49731 61480\n31937 47296\n10685 30341\n8224 13459\n87521 95099\n11377 89092\n52571 98805\n743 58781\n21963 90390\n25801 35917\n6313 63864\n41639 73833\n11211 52501\n23554 50220\n37677 77203\n24459 71196\n81220 82993\n34908 67777\n37232 77854\n14288 56102\n37421 86832\n5482 24377\n83612 92159\n33238 41126\n36530 50534\n17710 45059\n10205 43327\n29586 92093\n44785 52246\n12983 69013\n27922 63057\n37577 93838\n25431 30280\n77700 93814\n13453 58861\n96279 98159\n39371 95676\n46889 65276\n76455 88696\n15160 90413\n53281 75870\n5235 34374\n82591 97585\n59507 71701\n60539 74214\n12559 28674\n25978 96704\n33358 75820\n85279 91262\n20920 92510\n69097 69903\n55079 73394\n3866 24116\n51097 93139\n74813 91712\n15692 76871\n57345 84809\n66898 91504\n14568 59750\n10495 34737\n51218 72519\n68313 90224\n54879 65147\n92088 98750\n57104 65413\n1237 79135\n21799 65081\n17333 52676\n31839 61038\n890 52952\n62590 80159\n44478 73649\n66976 70772\n6981 45415\n21872 30032\n21799 81414\n25465 44811\n33322 88845\n27468 38658\n11340 99823\n50615 58502\n16866 60821\n32400 83550\n12429 57973\n38296 54293\n62917 63626\n75461 95361\n15496 26243\n1631 20674\n78911 96846\n45901 70727\n31536 78347\n14441 42019\n26338 98186\n10221 14382\n26514 90530\n80651 94099\n31502 68913\n21938 28477\n31205 90786\n3424 36961\n22938 84053\n31251 51587\n30987 55117\n67045 84645\n16653 23051\n3050 98596\n74571 99964\n10156 82956\n26394 64715\n22083 72462\n58920 67036\n58014 79237\n12938 57965\n8910 63634\n30823 96362\n33604 60246\n7431 72780\n14180 29907\n23757 49804\n12032 55679\n52633 65697\n47714 49160\n36779 64812\n1895 84849\n37046 87606\n17368 72708\n25578 25811\n28817 74620\n52638 97340\n48244 92798\n18249 84484\n1825 51974\n87646 93487\n4499 89416\n45116 90303\n2792 49287\n33480 63956\n18969 94429\n44457 44768\n75501 82123\n1907 22747\n37446 68268\n55116 75387\n75640 78231\n8169 99594\n61367 99527\n30099 76606\n8911 60229\n77571 90663\n47931 51246\n79605 91789\n45589 84564\n53214 54639\n41505 50272\n42780 75981\n18981 38973\n22856 87665\n52158 76192\n42345 83844\n16928 78688\n16664 35916\n28084 68940\n27426 74448\n14845 63180\n76663 97738\n22813 86123\n8277 9079\n12170 47446\n12264 33707\n35079 73165\n866 81778\n36882 66833\n13074 97282\n14772 61436\n13567 63699\n5215 57635\n72021 90196\n50375 88019\n48384 71406\n70387 75184\n874 23405\n18124 19174\n54395 75801\n46314 55357\n6545 75922\n52312 97895\n33474 71338\n6463 72794\n36834 55015\n32227 94403\n46030 61016\n8608 15161\n23090 41363\n2184 43876\n37789 64845\n60452 65984\n44186 73898\n9027 45079\n6963 42920\n59924 89487\n23479 97932\n54201 68667\n62167 87906\n26148 74207\n20490 63721\n6754 64748\n27918 75375\n9553 18259\n1863 72091\n29352 51720\n12669 77231\n63334 74802\n51948 64922\n11613 37236\n28132 65056\n53109 60655\n55319 68831\n7483 30579\n37688 80494\n8405 90787\n12384 99732\n73067 85007\n29256 70927\n1438 96657\n9923 38016\n55679 71279\n7353 20918\n63599 69399\n9724 98782\n32461 43489\n25901 97262\n51353 59020\n60374 94315\n73201 94489\n59193 69741\n11264 70002\n72377 91895\n7969 70622\n12794 41680\n13070 66484\n9213 27311\n57694 73727\n45180 69429\n19490 24647\n57567 60041\n30696 68856\n64773 98642\n34795 91998\n12579 55878\n16354 45091\n22051 93878\n27876 42953\n51076 54658\n59959 73187\n39087 75658\n22393 65611\n51599 59472\n28070 35955\n3590 67322\n20907 76597\n63263 97704\n42376 72466\n89453 91835\n5626 49108\n13045 52058\n7636 12596\n49470 99653\n39076 62161\n5357 14065\n12443 36432\n3487 66197\n18524 68413\n23003 63170\n16500 45662\n65605 96015\n13091 51922\n18465 37913\n27792 85869\n1218 2993\n60838 91570\n41063 94354\n20089 39257\n46277 98893\n9902 81779\n2239 95881\n47142 86144\n63841 89630\n29415 49853\n66942 92583\n82168 94719\n27928 77881\n27743 46634\n96032 96685\n37437 98553\n5807 60225\n21857 76799\n3187 87582\n5064 10511\n35433 65390\n63644 72304\n29468 56316\n76719 87199\n21677 88921\n6704 93245\n62562 73831\n31844 78691\n35240 91058\n14301 86871\n4404 8569\n71206 77896\n32834 39126\n29425 46005\n38067 67567\n55071 92654\n68403 99893\n1012 81367\n50814 57917\n36553 79301\n23173 60765\n34317 79667\n61811 81883\n6932 99174\n52909 85653\n32365 47334\n3047 18225\n56208 74569\n8051 76025\n43129 82294\n24487 85064\n26300 47544\n16950 31377\n59444 88227\n19315 52506\n15581 65504\n61421 91793\n23485 28670\n10449 45466\n44250 76142\n38639 39822\n42713 93730\n37999 99242\n11015 65428\n2713 31641\n3583 83276\n24425 34003\n33727 39580\n82171 92228\n48560 86299\n67935 76750\n7109 64647\n9907 68659\n65439 96839\n71180 78556\n2586 59408\n28827 84546\n17138 30310\n63451 99229\n6961 40831\n12426 27741\n8335 47900\n15917 78159\n18950 89340\n28624 57546\n40982 97996\n26985 79063\n23392 32516\n17015 86368\n77069 91657\n17327 54414\n85196 97210\n137 88551\n1177 18267\n4366 83204\n82562 96580\n1520 15924\n9890 95446\n28741 43844\n89004 92429\n75776 98430\n29610 54056\n45011 84601\n29412 97411\n76196 91154\n17636 93240\n42274 86549\n9343 77693\n35006 71216\n27308 99411\n8955 97146\n41907 96580\n85166 89068\n13011 70579\n11395 35530\n66736 87289\n82298 84911\n19750 98810\n55303 89318\n52594 84600\n22020 56371\n65827 78831\n8717 46320\n7144 31631\n17364 40235\n340 21372\n15743 65925\n58365 90339\n30810 55891\n53052 53889\n13386 22420\n27249 90413\n16203 27327\n26090 97215\n56647 83706\n2410 23112\n15202 67539\n11906 96112\n58625 61500\n26247 79222\n44546 61682\n29685 44457\n30325 33891\n496 19209\n17113 34395\n63855 93987\n36712 82765\n31257 39432\n25773 58602\n49094 63784\n12476 21543\n37820 78511\n28037 30357\n25323 44446\n72065 92794\n37843 65059\n28815 67280\n59307 82414\n4930 51514\n8742 98055\n44812 88619\n62878 77340\n29850 76654\n86877 98612\n5936 6027\n19959 73209\n547 5050\n14470 36024\n71390 74070\n78091 81779\n45440 77929\n22350 76903\n40295 47767\n33623 36624\n21689 76596\n17098 45508\n10634 26690\n32247 45738\n40720 53697\n14108 61037\n12565 79569\n27252 65790\n34877 77684\n2526 99257\n50813 97918\n27685 89493\n49862 82777\n12305 16182\n42689 97140\n11417 61705\n56709 95770\n8196 62454\n15044 73195\n11795 38483\n63603 69221\n60977 67699\n56779 92131\n74836 79224\n3970 17715\n8463 75471\n45059 49377\n29803 34318\n61363 69599\n12698 50258\n5934 57280\n11569 40128\n16220 87307\n663 88310\n18739 83503\n14360 23610\n13541 78865\n14190 50887\n50301 62592\n29304 94994\n20193 65504\n55393 88745\n64510 72332\n73283 95985\n26397 51098\n2884 35904\n60024 73838\n57535 96827\n51829 88382\n40086 73745\n11127 47771\n67437 92158\n43341 72298\n19816 48431\n9381 89763\n18443 81389\n4076 13071\n6963 86887\n72176 76711\n11455 53995\n16799 17337\n67226 73597\n42341 83118\n6377 10874\n34124 47211\n80502 93389\n61805 72511\n20025 95913\n38891 64661\n32690 67298\n4115 76033\n19435 38010\n41071 63374\n39483 74254\n43756 46674\n69820 80876\n5553 82295\n25019 63850\n67789 83909\n60191 87655\n3910 44632\n41654 64556\n7909 95715\n46017 85203\n48612 95508\n20618 92098\n64349 89584\n42652 66302\n9716 71981\n29256 55207\n8598 81387\n90979 93627\n83055 99834\n57957 64046\n52005 60293\n5099 11189\n20682 46955\n14903 71776\n64158 77842\n25582 63662\n8648 23277\n27565 44933\n71550 89475\n43843 83279\n42455 47601\n6138 96627\n51656 69083\n13680 65415\n26039 66678\n36521 43987\n44969 91600\n25156 31905\n7496 42267\n18898 71029\n23648 60979\n485 34983\n27459 39229\n9239 64286\n75601 88109\n4048 46412\n14857 19896\n16 71394\n28880 74363\n20698 41127\n7086 25938\n39700 79654\n23048 97341\n19934 88824\n58644 91033\n4514 8136\n9027 11104\n6182 55848\n4356 83004\n61105 94734\n54313 80517\n1025 23680\n20246 34697\n17145 30178\n7057 96909\n79695 95397\n57155 82202\n58472 70570\n25286 69032\n4578 48931\n38654 95903\n15793 71879\n2569 56753\n10922 87448\n5315 27365\n55130 80618\n33965 88164\n6459 90539\n27853 65307\n10912 20936\n2626 24757\n48257 81548\n24788 55790\n18590 69862\n45246 89788\n42518 66935\n26417 69406\n25949 67310\n47716 67202\n42819 91713\n49645 60914\n2452 44636\n14746 74689\n18928 29680\n9848 38532\n41104 50128\n48068 69267\n70472 80833\n53538 66655\n27415 42911\n21075 53126\n8429 95647\n54568 63636\n56959 85843\n8674 66490\n64208 77691\n46667 60076\n3667 80017\n57144 73000\n4783 40053\n33075 48490\n35831 66830\n14019 61330\n64934 83500\n16052 59588\n47402 56448\n2636 83295\n55666 82209\n44863 72616\n13380 59680\n19112 63507\n8909 53064\n49455 70108\n65773 78623\n42000 50013\n15601 91303\n21650 38967\n80892 86802\n40225 93362\n31194 94536\n64483 87591\n88554 94088\n18279 36811\n28154 36603\n693 36394\n3389 20658\n27107 39632\n8980 37260\n7557 16222\n56454 59775\n74844 79383\n75499 85190\n31411 40192\n34256 47297\n31994 77773\n21030 26387\n7871 49271\n687 58111\n84292 91496\n64907 92469\n36927 76148\n19226 93713\n63954 64780\n48480 65903\n24913 31137\n35301 63003\n78745 95743\n43616 84789\n21347 41582\n4149 65441\n7284 60142\n78342 89678\n28344 65072\n36433 43126\n90609 98714\n25275 71134\n48082 54784\n19569 30082\n5592 59720\n24060 95280\n36448 58514\n26595 98236\n26768 75275\n97596 97647\n13899 86967\n13904 52375\n69448 79675\n55183 99871\n14332 98828\n4617 20864\n47873 51911\n17522 73137\n51248 69954\n63489 99640\n45020 49643\n63356 81326\n30088 52583\n5373 23176\n6626 42959\n58539 97693\n8189 33974\n55944 59022\n42117 61788\n610 97011\n22806 45220\n41041 87515\n5020 61838\n5247 13625\n16913 70364\n51962 72039\n19032 22339\n7519 64010\n97046 98119\n53792 56870\n4570 31571\n38898 99087\n30708 64636\n3181 35133\n82504 91126\n88 50065\n4398 13622\n25159 98621\n57351 86587\n9394 31559\n87880 94077\n21353 95846\n4415 42780\n85874 98801\n65396 71164\n89 87306\n24087 96591\n57886 81344\n23360 85393\n58644 94614\n44545 75012\n9774 42384\n75512 94487\n3252 60239\n15583 97775\n9984 83199\n24103 77800\n7260 29091\n17511 77640\n20744 99840\n5108 46126\n12053 66541\n41318 46306\n676 63705\n816 11814\n14010 16317\n51049 63662\n8147 60905\n7336 42243\n39244 64807\n4333 4540\n7004 98398\n12837 34847\n45205 75098\n64168 74240\n5552 70109\n72723 93293\n18028 46728\n28235 41384\n4426 50036\n44703 66651\n31676 49542\n32352 59142\n32888 42588\n67165 95373\n70429 94608\n59160 99228\n66414 93962\n70675 76243\n16611 44346\n4117 78626\n16957 69040\n25600 27999\n56562 91744\n5605 40082\n41406 98500\n3872 7828\n77271 92488\n51154 77583\n13666 29609\n4178 61013\n3670 6320\n78657 98352\n34203 99484\n53489 58261\n54311 65767\n3952 77583\n30338 73971\n14690 48232\n21919 45485\n74416 93466\n42798 76971\n36757 93940\n10628 95636\n29446 68063\n29982 75934\n61063 99483\n29213 80987\n13309 49039\n3280 99108\n26334 86962\n42408 79763\n68185 87632\n8769 20337\n56702 89778\n51490 60019\n48905 51069\n9446 46991\n14130 35543\n22715 22782\n16336 30205\n78634 98360\n21381 44002\n11462 52105\n27297 38602\n26205 35497\n35165 61398\n30110 89189\n6861 65155\n11354 30162\n16310 99618\n31175 79467\n18092 87312\n30744 97103\n45280 88008\n12066 66075\n66520 89920\n19052 51741\n58183 89176\n2121 71356\n66294 97965\n10986 71947\n42137 44434\n58808 73301\n33680 95926\n16041 99235\n10663 96911\n74790 86961\n24990 55857\n39565 59961\n36410 65130\n8469 56463\n19352 75486\n17269 33468\n79443 85442\n31581 77538\n26246 35897\n13616 96119\n12038 66282\n25476 45112\n74844 86439\n18297 62082\n54408 66494\n31890 66339\n7171 54216\n32284 65910\n54674 73492\n40145 40757\n50606 58457\n29260 37065\n23031 59079\n39272 79561\n42344 75617\n19247 45325\n50410 73943\n9706 69818\n39767 66386\n11304 41864\n84925 91636\n5435 7638\n25042 98559\n25926 59231\n5684 36685\n16816 99362\n56173 84398\n971 59373\n33778 79004\n48879 88657\n22410 42559\n38567 63460\n53846 97373\n32424 41918\n31037 79722\n30582 91036\n78406 92228\n70620 80964\n14526 23128\n85553 90052\n4346 96647\n33238 74254\n9926 17816\n16585 54015\n21656 47862\n88164 91179\n50947 55869\n54054 97027\n14867 47238\n60358 89562\n67887 84449\n33142 84708\n43741 75983\n10833 98492\n30674 44363\n34750 39872\n23842 29073\n7125 34202\n30205 99474\n14406 67355\n77257 91773\n1663 89866\n11504 39910\n18806 67305\n66682 70456\n54289 94644\n69733 78986\n55324 72613\n40889 44551\n19342 35640\n1737 44524\n25014 53561\n58413 81306\n5905 29463\n49970 73278\n14465 30447\n45627 80689\n21992 60180\n12223 42911\n48109 75442\n7544 60252\n13137 38549\n14109 47914\n21427 95098\n30183 62949\n25319 43806\n26986 28840\n9673 86307\n41037 42876\n9555 70653\n16833 29463\n25316 32879\n46241 99792\n43237 82180\n28918 46378\n3866 35561\n6282 20406\n57210 67797\n28639 96466\n73807 96995\n9543 53146\n26385 90286\n46732 58961\n51668 72378\n55101 78183\n23759 73942\n1609 91000\n51977 53186\n36989 45569\n45114 80068\n4216 52465\n52888 58413\n38873 67736\n37707 64661\n70272 89210\n415 16131\n21858 52970\n35444 40233\n9696 67250\n23500 54744\n88976 96265\n23742 32733\n23839 61821\n11416 33271\n34630 62730\n25378 57870\n53110 79003\n12097 41536\n91080 94748\n32512 76907\n22697 24091\n36675 49421\n22475 57456\n31879 46400\n27122 65953\n63241 68014\n445 79702\n3584 50757\n63728 95207\n44993 80757\n11160 96452\n71972 88447\n12375 84330\n37454 41279\n239 15079\n23084 61296\n58195 87487\n55625 83399\n52988 77888\n10673 17303\n70397 78056\n66808 67166\n47440 93603\n20771 79875\n38174 44679\n45209 77539\n59700 62260\n46638 82325\n21482 27796\n66390 81703\n11700 91918\n47053 56145\n20084 42650\n32411 98149\n28629 86887\n32529 40198\n13951 33876\n66544 91688\n42852 54497\n34777 88947\n19121 46972\n18666 31869\n24920 66292\n385 46978\n20953 62159\n4644 56154\n17127 25741\n57821 72459\n40615 97310\n52108 61268\n578 71714\n21011 35995\n16456 33659\n452 54057\n22966 61575\n53540 99884\n6966 86477\n20115 44250\n7874 59244\n73817 84224\n71577 81805\n18566 89162\n7876 80194\n5625 49400\n2595 97748\n19305 55408\n91724 93119\n33035 91917\n54855 96465\n47109 49005\n80030 98832\n39409 74260\n2702 41629\n11274 54511\n41946 45124\n51284 68512\n68719 86039\n34277 78581\n43953 57649\n86225 89887\n7127 54702\n6566 21780\n7244 21486\n43532 92205\n20546 32424\n398 42924\n11362 72146\n76723 95272\n64785 67751\n64503 98344\n20924 60699\n15503 67478\n16927 34198\n22452 80431\n41511 72656\n1738 91984\n5742 94141\n63511 95764\n13846 47617\n31647 63912\n51941 90691\n14247 49288\n53293 90661\n22834 96426\n76294 77054\n2096 22891\n8524 86692\n60225 71103\n68121 81825\n32184 95051\n58927 60131\n19548 34837\n55690 89561\n48828 84156\n20784 26412\n27651 87809\n69622 94010\n87136 89571\n69731 75674\n36220 97928\n78657 89006\n10151 11847\n34548 40064\n29595 56728\n14170 65038\n62350 93850\n23919 88526\n2241 23481\n39407 87485\n2036 58442\n35103 74304\n35545 42230\n13849 47719\n61657 94052\n50390 84899\n10591 29930\n70024 90853\n42548 65615\n42679 42810\n62137 88919\n42968 50117\n19350 24933\n1621 86386\n13056 14142\n37822 45634\n35687 47646\n1678 29364\n52624 68484\n61533 65407\n9082 84200\n40639 94928\n30835 92283\n30967 63633\n40216 92947\n15118 88175\n1171 89182\n60681 79527\n54886 72513\n44136 82548\n14321 51688\n34597 36254\n30208 79263\n25969 80218\n63249 74602\n27318 64072\n70907 94192\n12988 71516\n65069 70634\n50069 75866\n2842 78240\n19544 52323\n39263 70946\n6091 99255\n6181 60550\n42091 63887\n54790 91203\n29447 36727\n71639 77853\n66112 80966\n4304 20381\n33903 37779\n2913 4885\n491 82652\n79438 86774\n72238 74979\n35736 60772\n100 89933\n70203 78801\n82818 90159\n50002 76359\n82025 91259\n57352 69562\n56858 78713\n69173 92444\n21926 84255\n67226 84305\n18305 74174\n26253 53759\n26828 68070\n12310 49471\n59322 77878\n72646 89113\n19735 87217\n23363 85077\n52588 90413\n4682 66454\n23274 99452\n82907 99319\n405 1358\n32843 72124\n65888 83681\n5656 36507\n1828 42423\n17417 46227\n33010 93424\n22197 82580\n55854 71471\n5175 39043\n80737 85099\n44246 56340\n28953 50967\n54884 72268\n70490 76579\n11082 78553\n55360 70386\n10650 57257\n48076 66245\n21958 87203\n38107 83861\n12895 98689\n12809 84451\n46236 79140\n87830 99057\n50045 98742\n80337 84016\n68187 95975\n13433 52017\n15073 44901\n14560 36411\n6191 77000\n65270 65635\n18110 53315\n55756 63059\n36198 62030\n9469 35693\n101 49805\n62746 98364\n4103 45897\n61610 74708\n63541 93356\n6028 99269\n13013 36583\n6644 31564\n43028 47138\n60035 91515\n7148 15215\n10964 81966\n10292 50684\n63361 98937\n11502 72232\n51987 90434\n21230 71267\n23529 79173\n35729 54818\n43353 91584\n38856 67297\n53509 93200\n70600 76955\n8678 45655\n20850 47531\n72164 89911\n42762 97989\n57559 94306\n6465 62951\n15725 79454\n46042 58959\n26775 76077\n42836 68209\n21723 52011\n5852 79255\n1767 77984\n10719 83379\n14620 60716\n9426 66195\n52470 97618\n2497 87327\n70404 74849\n3204 42677\n7694 84084\n82113 95816\n64746 89207\n54204 94702\n44979 79549\n1240 79234\n42148 50527\n9035 71558\n31844 64085\n22678 68632\n62390 81392\n4519 34653\n6123 74177\n26001 86422\n12651 76520\n41554 85978\n9778 61792\n21508 28153\n20777 50273\n23439 36161\n89048 98249\n4633 64059\n64186 96729\n84569 93664\n83907 88673\n23108 67845\n34049 82458\n44141 50727\n10405 14964\n50962 72684\n21159 95958\n21460 27219\n52005 71505\n2712 33625\n32686 86046\n71833 73340\n18294 32975\n9553 40556\n35191 64655\n13422 44184\n17011 78264\n272 15036\n9644 24514\n577 50847\n62670 94862\n44860 45500\n63279 97172\n59974 89053\n1783 43208\n20344 22739\n4906 48049\n3271 76488\n1342 79213\n5706 39624\n23822 48848\n25339 70509\n10720 41427\n3291 38587\n44680 76153\n16625 54166\n32640 70701\n73310 79536\n28205 32254\n36548 61344\n16720 49270\n69854 76820\n20627 54023\n77618 85502\n85507 89660\n94087 99276\n6131 77016\n21108 32289\n11569 67906\n16688 18554\n24595 59279\n22556 99240\n60914 78599\n37803 48764\n33226 96077\n44779 84957\n15377 77250\n64293 79419\n22452 43444\n52739 85154\n646 61360\n24109 35133\n60559 62662\n16615 20781\n62654 64481\n41179 71196\n16378 96958\n23616 69091\n58028 66539\n34366 92362\n95313 97429\n14950 97190\n68426 93086\n13161 49109\n60349 66882\n63070 84255\n74938 90899\n15774 90208\n20274 82030\n20822 47762\n40688 83476\n15825 31454\n77551 82170\n481 92805\n24357 41753\n7924 35889\n44043 82162\n15368 47949\n5635 72440\n40821 80026\n8046 35078\n3991 39370\n6385 7356\n40223 90396\n13261 51751\n46609 74525\n19411 77685\n10115 59810\n3940 22817\n52406 59643\n7051 33882\n47955 71978\n56928 97692\n244 19462\n32126 41232\n26315 36983\n27919 99542\n27893 35122\n38325 93585\n10052 91135\n69304 95552\n25174 56837\n26338 60836\n12690 78934\n26643 73528\n35851 88572\n71265 97901\n32463 63710\n14411 80753\n3993 59142\n80204 93521\n4965 41663\n84675 88418\n16791 84506\n43563 48404\n27976 71468\n1257 86023\n11930 70528\n39205 90233\n31587 59792\n48408 52344\n11766 99319\n34412 47432\n80281 97660\n9841 13828\n57441 80590\n25785 91911\n88840 95599\n48006 98004\n69468 88885\n9379 49965\n27263 94147\n55065 89655\n15618 22109\n33560 43736\n68483 70875\n38324 57673\n61379 74900\n15649 68007\n22041 29084\n40478 62402\n12966 37452\n18498 96410\n40060 70044\n51248 96599\n78276 92227\n19512 23815\n6624 65637\n19125 89738\n42738 61652\n19804 42119\n5945 29501\n17436 61127\n36829 39212\n62352 70764\n9665 41038\n44244 79120\n30970 65184\n12135 80551\n12178 95216\n35953 54544\n66372 89787\n63758 67542\n67153 94823\n37524 53230\n27084 94392\n87098 98142\n15015 97250\n50889 76427\n28533 51711\n1866 51126\n43409 80432\n34009 62231\n13239 14207\n66171 92902\n54631 98355\n23897 44336\n7862 61492\n14985 19170\n74968 89194\n51322 73390\n4739 42845\n31651 89248\n14176 82781\n56609 72296\n34668 40547\n20108 57129\n7166 62510\n17486 30665\n6338 23761\n68772 99081\n17257 82082\n7485 58351\n5411 87029\n5380 51369\n65112 67012\n11846 13483\n78654 90928\n26117 80051\n8605 41795\n84052 84232\n21622 81057\n8426 99640\n15231 73024\n17143 71264\n88488 90164\n26766 38938\n14049 39315\n15962 38775\n30728 53809\n15881 88622\n21160 41426\n77501 80427\n3803 26966\n31758 50800\n75856 76506\n20727 26384\n21750 51419\n87288 95337\n13210 69146\n43897 79103\n15636 76960\n28597 71980\n28611 82772\n25565 44297\n63939 68984\n79349 90525\n15389 29603\n189 69577\n7285 35122\n62929 71066\n4042 21806\n6126 71584\n51790 95005\n3565 49714\n22998 65151\n29734 39407\n4249 15084\n60871 83999\n5793 77717\n7649 60794\n70014 82618\n14462 59103\n42166 81418\n9825 30974\n33249 60401\n61796 99425\n6014 91650\n13918 72576\n24595 72517\n44150 88784\n52380 92607\n38443 92200\n91780 96364\n39390 75121\n63866 66515\n41363 65943\n38149 39904\n23825 48236\n38611 85353\n988 13882\n68423 72923\n9327 32906\n74961 93068\n11335 68901\n66032 73472\n46614 67059\n14643 86134\n4406 36344\n30983 72723\n44586 95631\n7236 97544\n55885 76945\n69849 88588\n43814 83034\n35332 91355\n16909 48403\n5348 34827\n28434 50715\n53935 90361\n44450 63523\n77794 78098\n43134 48006\n2645 78945\n83009 99799\n80722 91330\n44266 45651\n61711 99612\n17961 79888\n57877 92470\n4657 17968\n67612 92011\n7914 23354\n47749 67206\n210 86009\n60971 95198\n7653 18699\n27562 52123\n53881 57031\n38651 56738\n1555 2192\n81188 88045\n51299 85890\n6096 29288\n23067 72274\n35601 42915\n5788 31413\n20806 67420\n21185 55011\n25902 51835\n46022 47483\n33982 63172\n42821 95237\n19632 21835\n33711 52179\n58270 88797\n38721 74232\n59037 75524\n53227 65870\n60275 75058\n49268 92226\n30006 73906\n65473 89109\n30483 51942\n33817 89578\n16613 45375\n62259 95375\n74255 94350\n78033 80503\n11418 25637\n43195 62538\n14848 47140\n9140 51235\n3731 8800\n19547 66704\n18797 38944\n1499 5025\n55807 85760\n2598 8413\n32650 37808\n62045 94433\n8321 64810\n94697 97487\n78130 83218\n7524 25397\n13157 47181\n18749 78216\n10337 12047\n73169 84279\n18936 24216\n66030 69125\n46788 58994\n40667 62357\n24376 83750\n21146 67986\n57229 84643\n25034 86560\n15308 48592\n1094 53784\n64535 65972\n36605 51262\n5554 17175\n65174 87178\n46266 55299\n69971 89381\n44039 95237\n18824 32292\n64285 85412\n86774 86969\n67927 72937\n6052 66578\n52700 76709\n1878 39967\n39131 73173\n38300 71052\n43909 71513\n6828 95610\n24394 64785\n59172 90085\n6016 20252\n43555 70826\n6416 57143\n23442 71916\n12298 71227\n15623 99459\n14228 41146\n18230 92323\n39181 49318\n4497 17143\n14490 67081\n58328 70229\n6191 61570\n58158 76350\n69265 92408\n31058 69434\n18293 23794\n31697 89939\n21122 81252\n58228 59965\n542 65494\n58385 86215\n59428 86318\n20895 54716\n28238 46431\n32345 67749\n29613 48080\n65036 89837\n35555 69300\n67055 90234\n39535 95782\n2747 90086\n7568 19471\n31174 39739\n82113 91063\n29873 79712\n58611 85128\n8461 83937\n22598 43346\n13091 95859\n8657 68452\n31446 75703\n11450 23697\n18520 26776\n75802 99598\n2551 32018\n10532 16539\n54069 64211\n39939 62062\n24528 60518\n65618 88393\n19651 76407\n45257 85351\n51667 60091\n2442 56710\n1311 91524\n59578 82901\n38013 88192\n62557 88218\n63154 95170\n7934 16375\n58943 73389\n16140 44889\n13614 75178\n47004 72058\n63477 73317\n2292 53300\n4467 77236\n45180 51206\n21579 58473\n50240 90313\n28048 30222\n8501 39969\n8933 33583\n81330 97839\n13778 78104\n58518 86858\n80598 92578\n4683 14964\n1571 75585\n65911 80739\n1215 94365\n16697 80767\n13075 83788\n20301 91107\n7722 93141\n16551 70540\n64603 76049\n18201 44624\n1151 35856\n57809 79446\n19860 64239\n18934 20155\n42638 86723\n74475 77720\n11901 36279\n21255 42166\n16406 46666\n49743 66255\n43877 62817\n37110 98464\n69214 96551\n12707 56510\n44901 80329\n13441 47167\n2043 78322\n54059 92472\n55502 74383\n42600 74777\n18791 31445\n15856 34880\n30048 58924\n47046 59618\n54360 73892\n78364 83299\n14045 83903\n46944 67514\n14861 22154\n32496 62216\n171 16031\n183 34756\n29950 66305\n28325 72323\n4005 97026\n80800 90472\n7987 15040\n44113 81650\n31557 61883\n53428 65752\n47895 50289\n3893 92659\n37347 63199\n21908 81431\n2588 71460\n54757 97214\n43023 77272\n30711 92897\n12149 75113\n73097 73628\n80612 88360\n10920 30395\n5637 84647\n13479 59810\n45396 95760\n5099 8822\n19100 88060\n58479 82478\n61387 95894\n39754 71197\n38346 64222\n43774 76585\n173 7763\n4111 12527\n19638 92678\n8372 75795\n29541 79234\n71041 92496\n41340 47514\n2075 92912\n5072 41428\n56899 60296\n31962 48973\n50586 98483\n7752 18749\n23675 83220\n19325 88805\n62193 99969\n31113 51427\n30989 64081\n87843 92920\n9986 73691\n10333 53862\n529 30519\n7099 93039\n43125 99532\n45638 96880\n54661 61698\n26547 98378\n9852 61527\n27531 83261\n45649 98371\n26818 55192\n717 70595\n7230 45840\n55176 75959\n46394 85418\n1079 32950\n22666 75975\n23728 67490\n18018 74089\n20312 81494\n49176 96192\n87745 93692\n20292 35752\n26954 49409\n55745 86361\n24995 79900\n15888 56889\n34200 94172\n44499 62664\n8781 13216\n48165 57663\n69731 75479\n23282 95071\n62990 73427\n75679 93364\n82344 85890\n67654 72499\n4556 61006\n46289 71801\n31079 90387\n47690 49526\n56993 97696\n61542 92035\n1304 24015\n55201 97325\n47782 58587\n55437 66857\n76498 96165\n41396 51875\n70304 70528\n17786 81692\n19935 33461\n28336 73095\n51785 95916\n43731 74217\n13833 24466\n42842 48988\n38327 56228\n21645 36279\n2953 20500\n49639 67025\n56516 71783\n12047 83346\n7601 25522\n19570 51920\n67092 80205\n20005 58807\n38758 99473\n21235 69063\n49874 69004\n46213 76837\n75018 96154\n27011 45450\n13548 52542\n58572 99060\n77883 94140\n1406 10892\n41386 72378\n49052 80505\n13204 43209\n4327 82882\n49404 88605\n7327 38414\n29100 38031\n13073 21247\n7499 66217\n22812 42521\n40557 94255\n11969 67675\n43349 72470\n14882 76467\n80068 88835\n29062 29618\n47725 76011\n12055 37928\n51827 99728\n15708 92341\n52758 65043\n23803 48258\n390 30383\n11796 12993\n24134 65498\n59369 72149\n31993 36528\n44401 77225\n12797 60220\n35022 99096\n39492 67445\n24983 27019\n37452 44582\n34405 83052\n13097 58588\n9653 64335\n68344 81962\n20716 76513\n21052 67055\n12094 93108\n50795 55390\n25987 90799\n7791 35642\n30373 87869\n20859 99648\n12646 43421\n70246 81299\n47800 80746\n53137 80334\n45709 50406\n11984 47844\n71435 86431\n59457 95578\n38616 69605\n12937 95367\n17861 67329\n941 26847\n13575 98508\n68323 75014\n10391 35569\n59515 67123\n33072 38334\n2017 50676\n64375 79691\n21658 90426\n20272 76290\n51919 59027\n86159 92223\n81755 90052\n23829 60024\n79369 90886\n23413 82830\n2154 15924\n59577 98501\n69 96377\n60543 90220\n70524 72103\n3333 91556\n53874 82785\n28044 60628\n16234 36728\n3949 27788\n18999 66525\n16524 31740\n7184 67115\n19737 86889\n32075 37936\n46151 51077\n4149 94042\n58622 64181\n4523 79820\n17396 92951\n58150 59909\n33356 72062\n16030 22974\n34149 91046\n81285 94210\n12579 26291\n37688 48915\n68216 95413\n64684 81600\n59160 60659\n25220 74295\n45639 57376\n23374 51208\n68247 76341\n61292 82427\n16081 63883\n22421 23758\n67144 72492\n26592 99337\n20588 79457\n28546 95074\n42291 57099\n48865 73850\n9372 79720\n25450 46172\n57398 62724\n17235 25704\n77870 97005\n31952 90650\n46125 98974\n29505 51510\n81028 84659\n4312 45159\n604 26742\n14426 16808\n46976 59090\n61395 63734\n5134 26115\n58471 94688\n85986 99259\n35260 84379\n69454 98732\n5386 22471\n8475 37365\n65692 93949\n39840 67014\n95823 97222\n58300 68901\n3556 95798\n59309 60716\n5072 97912\n6880 8056\n6036 37451\n14246 24481\n3729 4731\n11716 78489\n66243 75247\n6658 25938\n62498 81533\n14776 51318\n26929 91789\n24646 36480\n46251 79405\n41950 75764\n11215 58429\n2180 88195\n59599 68450\n47029 72569\n43769 55379\n18018 80120\n1423 33520\n52672 93368\n30079 49873\n64567 83688\n5388 95233\n1256 29215\n51175 80291\n28873 87296\n7825 75180\n17795 85576\n3088 57780\n11641 24402\n73907 77753\n19582 90370\n2715 91592\n52669 99139\n57746 85905\n26605 37186\n40809 67926\n12213 89778\n48631 98755\n18653 93979\n10228 79333\n27549 60039\n19519 21228\n25346 34744\n68441 83785\n17218 43803\n39520 51240\n13312 87838\n12205 84109\n45180 96061\n54254 57242\n4710 45182\n1511 71759\n25014 75911\n13106 58335\n6669 97683\n34911 75347\n19654 81211\n73246 85551\n8827 41849\n72029 81099\n12539 84358\n3080 29618\n54244 83271\n30690 87496\n13040 86585\n43809 85942\n13362 63627\n59243 80467\n18048 99268\n31903 48907\n23554 58711\n41499 50159\n53365 87418\n10207 34715\n1826 3162\n30509 92050\n38862 40815\n49376 64289\n79135 91644\n28327 44018\n50729 57870\n14795 18201\n24994 79815\n12936 41641\n19520 84141\n4147 80543\n56386 56956\n40147 70222\n27304 98215\n22427 97653\n73679 80837\n38383 44608\n47688 49538\n52196 61459\n20005 58810\n64471 93905\n67335 77776\n83967 89645\n33060 72399\n4647 22564\n11498 85648\n74948 85788\n61882 65521\n13778 36488\n33498 66840\n4802 61285\n39562 45874\n44056 92524\n17282 37863\n54598 90268\n62789 73225\n16307 72844\n26463 89657\n33485 72986\n73786 77036\n16752 98347\n52044 55693\n820 90567\n66747 85273\n20884 86185\n41315 56638\n77370 81163\n52736 78034\n40871 71617\n3065 98874\n4502 12562\n19084 97125\n77269 96872\n7497 30855\n26810 44497\n33050 53307\n35544 42432\n28905 72908\n49339 93982\n69693 97362\n33288 49011\n4733 17937\n14084 40113\n41026 90389\n94740 99638\n29701 32289\n10018 10388\n83462 98214\n72714 72874\n30157 45222\n58431 70997\n63061 65874\n80971 81525\n6210 38019\n4468 29409\n30812 54673\n1849 60967\n36472 94502\n17196 19615\n47142 76187\n47353 91941\n76001 78100\n60465 90921\n20230 35773\n30890 58806\n11189 71397\n47604 63591\n2952 75648\n15287 56912\n24777 40516\n36811 78439\n19713 27647\n27966 71682\n72386 72652\n48430 85497\n17103 40496\n55146 69732\n19197 86038\n52437 77974\n27494 28054\n45308 50209\n8563 15576\n23118 87102\n9674 14777\n3053 81760\n67461 84325\n15740 95426\n25440 46517\n2273 14756\n7126 37324\n932 58532\n31309 44783\n26094 30169\n26195 79120\n67604 86622\n29088 73596\n29014 32909\n96662 97968\n61964 96870\n75571 97220\n742 60125\n26370 86876\n54215 64668\n34367 77715\n29655 66044\n21526 52246\n45459 59104\n79534 89386\n15191 73273\n30185 52878\n46825 55316\n50087 75082\n62804 78286\n678 49517\n13092 45713\n8677 33348\n24032 27142\n3161 48598\n38657 48692\n49906 64032\n8923 70728\n4588 92453\n18594 79114\n43510 68314\n51031 67232\n46779 72948\n34700 87261\n16510 87441\n23049 76838\n28771 40477\n39568 53242\n1984 86326\n43736 64592\n30768 68051\n74312 74778\n10112 34818\n42559 64317\n74022 80785\n38637 61777\n23827 65139\n69114 80702\n28032 59405\n90559 96054\n42985 83972\n84741 86303\n1360 63844\n93088 96856\n14986 67004\n2444 58903\n24735 82013\n25291 88672\n10045 64115\n11381 69493\n21230 55565\n45496 71483\n7947 82504\n11544 92747\n41136 49024\n68943 87834\n28232 85612\n36204 64702\n8935 12186\n20883 31580\n49346 65897\n49098 72473\n15512 67405\n29843 49311\n62192 76159\n17659 64579\n23296 32417\n18692 32705\n37915 45567\n492 84503\n7251 51274\n30681 93370\n15884 27357\n36715 98052\n35166 75285\n14925 80334\n444 67569\n35344 36818\n11100 60228\n77368 80502\n40142 74219\n61983 80643\n81179 86851\n62469 88370\n16195 55992\n57689 84666\n46380 61027\n34709 65719\n50099 66455\n2503 8887\n61464 78150\n4534 93348\n82817 95582\n21913 56942\n41841 52947\n20396 96739\n1296 29185\n21297 34500\n17842 33228\n15298 35634\n19126 43468\n47427 63546\n8858 48924\n14513 60209\n97342 97872\n46110 61267\n2972 63804\n30389 97571\n62132 94838\n36055 62936\n30212 70360\n67916 82223\n76233 98133\n60093 79305\n27704 99573\n32380 62860\n81562 96914\n9677 68728\n985 49045\n35083 76413\n8793 89509\n32359 60640\n59604 70969\n85583 97963\n16244 95526\n7167 22468\n84938 97447\n22735 77563\n59829 92205\n54825 58323\n15199 22749\n13111 41038\n76694 96952\n2027 81843\n12553 19137\n11400 40161\n59068 91839\n2682 53256\n18910 35569\n49274 57409\n8992 59112\n26102 32739\n1435 44876\n8520 28660\n1055 57894\n13883 83175\n12833 58116\n9599 56784\n32572 73207\n13180 20010\n9256 89007\n10617 87360\n30461 82893\n284 67933\n20970 30243\n81987 87223\n57210 63260\n13752 38055\n29374 71098\n55477 84578\n74398 90848\n54637 95862\n41408 76245\n7922 48344\n84195 95396\n20621 26852\n30895 95162\n14831 99548\n63626 65754\n45743 66105\n50683 65076\n13948 41242\n42768 46728\n50566 63160\n37588 50344\n62811 96877\n9289 58666\n36690 43779\n55 6267\n40104 49608\n6297 19826\n1182 51617\n51600 91117\n1736 53541\n1821 94503\n50368 90702\n88801 91014\n27216 96536\n6890 15052\n183 69436\n31498 50260\n15633 40042\n49069 90226\n81815 99771\n32183 56543\n33055 71495\n8223 62971\n8612 53575\n17579 76046\n30077 74286\n14154 80861\n38906 98177\n86538 88047\n57501 98477\n47356 99529\n32210 45882\n41960 79825\n45048 76463\n12512 47940\n2902 84203\n54438 54797\n9809 60921\n16806 47376\n8933 19187\n58570 90908\n33177 40483\n79778 83047\n25654 43006\n18091 37343\n57680 85806\n73594 80837\n30969 39735\n9324 33620\n4679 21406\n68186 70937\n21084 34166\n8680 99901\n32582 75968\n12759 88037\n10627 44213\n5882 67020\n18762 88006\n75715 76339\n51417 71705\n41782 74449\n12794 78364\n3525 29340\n8803 88332\n27205 34489\n41027 73111\n39095 89756\n71128 97161\n83082 93012\n38089 77595\n14370 49635\n73060 89944\n3707 55780\n56598 75637\n41582 58364\n34031 38080\n36123 75371\n7432 77794\n8019 70390\n12203 35332\n66878 79005\n32511 94170\n26603 38707\n55878 89909\n38986 54973\n53294 65582\n36019 65807\n36552 77021\n44880 48258\n2009 50969\n7696 49805\n82606 94257\n39371 45398\n69978 98368\n65747 68017\n20516 43974\n3867 19040\n36372 50341\n21571 32452\n1284 57230\n54583 86416\n57 23590\n8616 23561\n938 16834\n9505 73853\n47810 80798\n79469 96678\n9032 31805\n8744 49496\n85732 98257\n36194 53952\n14621 83254\n51354 83154\n58456 66813\n54137 97899\n19998 93044\n20146 48734\n6817 40228\n51458 94172\n68301 69350\n72549 86151\n25551 62081\n51443 56125\n1147 50747\n29733 81574\n47700 63872\n19647 95773\n34667 55369\n52204 73340\n34502 46327\n90361 93685\n29171 61716\n75372 88149\n64170 98399\n50973 53740\n49316 50269\n11969 94791\n80896 97711\n24827 38065\n87997 89719\n11720 46429\n2461 47573\n25357 47723\n3007 70654\n1535 46373\n8149 77443\n79536 79946\n32692 77021\n45049 47999\n2364 58051\n43629 67432\n43845 94613\n23894 86264\n56649 91996\n75825 82619\n50963 91855\n66496 91949\n702 43891\n74973 91486\n8318 98195\n18174 27895\n14331 77231\n52931 90133\n7951 47310\n31536 68082\n48947 98838\n56593 76128\n83593 92779\n2472 79010\n16292 57356\n44715 64354\n48798 70671\n46081 75259\n53731 66694\n88836 93899\n20522 48897\n39368 63510\n1543 69146\n45508 61504\n25823 34612\n333 76777\n60856 98708\n69481 76404\n61020 65356\n67684 92594\n790 6042\n31347 69698\n54331 83623\n3227 47773\n25414 52666\n31890 65737\n35829 61036\n2102 51745\n27143 88475\n31306 60294\n13681 83488\n18269 71049\n23011 67853\n46065 68959\n18977 47642\n35967 76479\n32747 54626\n18966 24757\n49185 85971\n89706 92283\n67985 81994\n75754 80563\n90232 90368\n66341 74864\n12548 24795\n53983 72856\n3714 25715\n82975 87716\n6710 60748\n26472 34529\n30521 67199\n37003 71421\n1141 32354\n9363 50098\n82272 86472\n34092 47085\n40404 73633\n30957 77259\n87298 89229\n59734 90955\n30533 84136\n37882 83223\n11523 28926\n4199 9055\n3828 43104\n35194 96211\n72589 72704\n78269 97031\n33697 86892\n34485 98473\n19626 60006\n27450 85464\n25055 69585\n34269 47289\n71484 77159\n99134 99843\n3980 64555\n7621 39410\n6868 80145\n19359 80674\n12770 53973\n10450 32490\n16373 94160\n84037 88524\n36251 78394\n59093 93817\n84216 87718\n294 36731\n2069 19213\n21243 30511\n3517 73120\n23386 48762\n17616 22228\n40591 43249\n2207 33494\n32223 87131\n20239 24179\n34320 62193\n6665 37455\n56111 75393\n60977 90814\n28130 83621\n1130 60606\n21981 67994\n24082 33089\n65332 79779\n38573 72253\n56628 88057\n34519 45546\n19136 65770\n6861 80297\n12980 94372\n2836 6331\n56538 71631\n24363 43722\n95435 99219\n17954 55284\n48350 84367\n29492 74334\n45180 85497\n17337 25388\n28312 93543\n11664 85094\n5207 63255\n63235 76680\n12730 92356\n26056 84384\n7642 89960\n26872 83289\n15787 44765\n49384 60845\n43932 59693\n34021 46148\n39298 62271\n71255 94701\n76467 88185\n4316 63271\n12231 35256\n9576 63363\n18344 67137\n12308 23471\n62138 77110\n10859 46157\n8382 22678\n70410 73963\n38293 42219\n42460 74270\n82557 86044\n65523 78260\n25257 98213\n15419 94054\n58879 90189\n45166 96186\n16587 17704\n31185 66833\n2534 76208\n31165 63253\n55506 58326\n49530 96443\n22121 98814\n1286 38629\n28726 68447\n33396 61973\n20169 55511\n8735 78191\n54703 69552\n50817 68560\n17977 33040\n34313 39254\n35083 60835\n81946 96690\n15257 53731\n18886 90488\n15083 78911\n57014 75089\n59030 82829\n69826 74066\n3106 7046\n23511 67557\n6668 45397\n67479 94646\n61843 68430\n17711 62821\n30639 83748\n13330 37142\n22632 55932\n41796 42511\n4200 22663\n200 67086\n44690 84237\n11527 61814\n2609 17410\n26428 30130\n30082 51073\n3411 89961\n18738 88067\n56809 96862\n47394 48824\n34695 80750\n2561 43509\n15263 81591\n24418 61801\n44128 55654\n69543 81972\n16138 72271\n20404 20571\n54052 70004\n49239 53541\n13552 42408\n50739 64486\n24240 40818\n73944 93476\n21769 34781\n92023 93042\n36455 52001\n23505 34531\n11696 53668\n44375 49215\n12407 48801\n40382 83601\n8083 24578\n46234 92153\n9530 51644\n11807 68793\n50935 97019\n16924 67538\n6178 15951\n9903 68011\n24157 95625\n44084 91945\n65732 65906\n58519 89282\n52546 73484\n44573 69393\n86299 97337\n71173 82581\n6851 91825\n72267 95954\n48137 73822\n36846 43140\n527 43533\n1272 7720\n8834 19867\n9433 59001\n33987 65391\n13927 55947\n64832 72704\n29071 35971\n34817 93374\n23500 74473\n79787 98418\n1880 9540\n38103 45495\n24656 76103\n23018 33223\n54723 84139\n18629 46828\n974 49969\n19293 90429\n31292 77947\n37248 89326\n39186 75053\n40531 43757\n76605 89489\n14622 86484\n56685 80774\n26559 77600\n35434 54507\n5704 81132\n50073 55391\n12504 66509\n47347 79002\n11201 57666\n69617 75650\n62177 96722\n13007 45864\n15803 76286\n2621 36327\n37749 47729\n85422 95293\n38417 71736\n45459 46581\n39321 98560\n46572 93598\n7822 54500\n66407 73674\n59035 87333\n46384 74694\n15903 27299\n29112 60199\n31699 83419\n27727 60010\n59103 76031\n13740 59102\n30572 71208\n48861 86538\n22746 98999\n81513 91186\n22651 52260\n59214 98717\n52221 52818\n22509 33087\n43906 61589\n602 49451\n48508 65630\n37741 73983\n21722 88918\n74770 96151\n2398 34688\n18910 82141\n12513 76184\n27610 52548\n15505 36608\n9336 76427\n25380 32754\n52533 90052\n56106 80770\n19457 25848\n51081 97788\n32233 52614\n23164 54695\n60033 94793\n40469 55961\n10913 85420\n17731 53741\n68627 79043\n49762 80294\n8951 57188\n50482 54001\n72807 88098\n44069 49309\n3224 20537\n15049 19481\n19483 33998\n47550 66244\n58333 58457\n45567 45834\n23956 30368\n27904 68493\n42306 86259\n74033 75065\n14192 68486\n14045 28445\n27427 61510\n55464 64265\n68916 92897\n16568 96487\n66494 94161\n5967 69469\n68069 76738\n69484 96518\n20161 31418\n11981 70614\n19350 24614\n31929 59281\n18835 91575\n25929 34930\n28405 88983\n78656 80221\n4526 71120\n25174 80705\n4690 91020\n48786 49530\n53321 91205\n4462 64866\n4641 98491\n28084 98848\n14715 30627\n32442 78952\n36262 95297\n25792 57941\n17371 67615\n34600 78073\n7760 17569\n19719 89712\n2856 76465\n29862 37167\n14378 33595\n49051 82771\n43349 96467\n19837 78370\n25967 55918\n17568 66052\n62497 97510\n38904 86131\n81114 94432\n34198 35531\n52300 60858\n34207 74083\n485 91463\n11899 19310\n23385 54955\n4929 67185\n54754 87147\n1272 9371\n11969 18575\n32141 87016\n19097 46569\n1994 11541\n18600 85451\n29437 80428\n37668 74029\n13444 82791\n47195 73631\n9788 18446\n43670 80903\n28195 79895\n23290 82728\n7279 28232\n53835 95521\n74795 79303\n34967 93429\n76380 85969\n28330 38333\n23606 28329\n40003 52851\n39799 70463\n44861 83971\n7944 62811\n45537 81964\n55053 72166\n68036 90284\n14801 52254\n33457 75899\n19812 91342\n56941 63588\n28016 36341\n2176 13996\n480 3402\n48658 74661\n16013 61616\n23343 23711\n16548 58813\n14225 70946\n24201 39003\n97500 97810\n12250 93623\n24657 76014\n36048 52581\n45386 78578\n286 12997\n48038 97462\n13282 80765\n25685 51485\n7789 35516\n45228 89803\n37698 61956\n46358 51384\n36226 79333\n12089 86223\n1028 71927\n36710 39920\n22078 72580\n86603 95608\n32655 59359\n8438 64154\n26325 83753\n10944 62971\n49228 60507\n17938 26814\n37222 66781\n34815 43249\n34799 75004\n27919 67354\n4964 88597\n43295 44004\n18133 19965\n2895 80046\n51452 59509\n58105 89864\n48568 51936\n38792 79468\n35590 48255\n55401 61975\n15029 94064\n73424 99171\n61505 93549\n53312 92612\n6977 20210\n29345 32004\n18256 83767\n48371 92293\n15510 82343\n11347 91862\n4125 5430\n9227 62148\n54599 58760\n23511 98968\n26732 77952\n30927 98909\n34199 43032\n29569 49963\n43218 77009\n29050 32058\n40283 91651\n18005 69943\n28997 97684\n59005 70279\n64954 71322\n52894 81251\n55702 99324\n14741 33239\n43879 89808\n1619 31875\n25425 41195\n34133 38832\n93807 98319\n28904 87564\n24842 33888\n58371 93079\n6825 95707\n1993 64800\n12168 83185\n11041 86217\n4041 57392\n38856 66403\n26124 30709\n26323 71489\n22488 64045\n12998 71126\n34414 65745\n21275 65959\n35533 70673\n10385 89377\n84759 92094\n50197 66467\n26829 54405\n3200 97914\n17227 79521\n72108 89804\n85202 91747\n22671 63393\n61250 84885\n16766 67819\n4481 94357\n86748 93603\n4453 12943\n90262 99878\n53109 73363\n12714 91821\n24249 99314\n43902 45760\n65405 81643\n24340 88729\n46387 72405\n1886 83981\n12650 43844\n43761 70577\n66116 93132\n17783 40636\n17303 76029\n8928 74796\n27034 75605\n69553 81114\n13984 23578\n65130 81266\n50369 94707\n19094 70394\n93202 95345\n15458 63199\n23411 36769\n858 43323\n71239 99007\n31866 69668\n50959 61789\n19153 42340\n15829 39852\n39032 62658\n1517 71511\n22796 89741\n37613 64262\n80988 96417\n30484 35589\n32555 41599\n64501 70322\n59555 61587\n19042 77029\n45895 49048\n28367 77880\n13538 41177\n48191 78495\n41836 58206\n49575 72886\n26645 37915\n58722 90330\n60813 91862\n43829 80641\n3361 72121\n10624 82256\n8480 23521\n35795 99478\n91519 91582\n17880 93088\n14802 67947\n96835 99366\n67549 98049\n40136 44952\n82208 86364\n71863 90581\n24009 40619\n59905 60975\n5037 91499\n3368 19234\n79277 81120\n36053 53161\n45340 85359\n49210 64954\n17719 22284\n8335 28586\n14485 59916\n40152 49772\n66072 82964\n74170 87939\n48951 75753\n1360 63159\n23663 32969\n65887 91121\n58347 86310\n16624 62779\n68805 70566\n36603 65047\n20319 46280\n44982 76512\n24387 39028\n35058 43405\n9714 43958\n11285 60944\n73182 88447\n60298 62145\n13110 92951\n48323 90300\n15523 32754\n15220 71258\n2381 75312\n39026 66349\n42761 45801\n68300 97223\n63191 90718\n56925 92537\n23747 49956\n11298 17559\n84856 98078\n37327 96026\n2314 81983\n40631 59676\n6774 15396\n22621 62919\n54827 73754\n43315 97092\n38854 84674\n4742 90775\n23440 91963\n3124 24594\n12886 99149\n18385 52408\n11435 45434\n48685 54460\n55694 80052\n14968 75315\n703 36997\n27905 75299\n3439 51014\n38581 57040\n42497 87096\n55894 94406\n25835 42161\n39073 64712\n48617 50467\n47302 71650\n58291 78802\n4888 50870\n714 19804\n49130 71520\n7729 32816\n54505 81597\n85528 95335\n64918 93857\n31780 56661\n23675 33271\n4389 71718\n26338 54241\n19445 29125\n45725 84858\n760 41008\n6265 48354\n9722 84345\n73998 99573\n73016 92525\n40681 60715\n31493 55839\n9345 65689\n20647 92142\n27779 56630\n30055 77266\n82610 86949\n55784 84946\n46884 96093\n83805 91658\n33432 77975\n8101 83489\n29461 44258\n65543 72092\n46849 92133\n38471 69277\n21642 27964\n47763 87277\n70466 85203\n45901 60801\n77950 87861\n25881 73678\n42942 47210\n21044 82833\n21049 51319\n18841 24014\n57832 69559\n377 63239\n803 37095\n13596 76568\n8768 33086\n68883 87152\n38462 92593\n57798 85464\n25387 67004\n35059 85489\n67022 93643\n6752 9153\n34061 62169\n25158 94080\n8763 19448\n65187 72999\n26962 34639\n25485 99550\n18100 73393\n33643 47057\n8131 47489\n5661 33742\n14595 43571\n3424 56609\n21504 87841\n49471 71670\n28675 82135\n48966 49824\n12901 35979\n47211 81385\n31074 77369\n76394 81735\n9524 54087\n7145 80753\n22822 66163\n35317 73128\n13877 31663\n25062 96293\n57263 88774\n50205 99521\n39228 61518\n21678 92492\n87190 94050\n18657 25750\n37535 67021\n76945 96486\n12593 67141\n38287 96195\n1261 78159\n4806 12888\n19791 47344\n43758 91523\n70076 87155\n7760 30930\n87105 95029\n56299 70017\n42338 90051\n71072 89256\n14493 69560\n64214 68836\n16817 96061\n34431 35358\n39067 82122\n30501 72512\n96336 99244\n14433 23145\n20985 87528\n20444 59299\n79524 93713\n19512 90576\n42912 43699\n57213 82838\n1135 55499\n6509 23286\n10594 58058\n32486 47309\n38385 65760\n55096 86520\n37793 71510\n42567 57083\n41125 62142\n51305 94266\n34495 75545\n18113 29329\n17611 92599\n64088 78439\n47674 54431\n81679 92676\n45778 72410\n67620 79002\n13996 71614\n43627 94025\n64199 72259\n38301 61873\n21292 54690\n17445 54107\n1769 71919\n14645 44716\n12025 25816\n31744 35630\n10296 54669\n2863 40769\n89977 98917\n41317 76558\n39843 80836\n29246 74292\n49879 71842\n65439 90035\n5001 44543\n37016 96817\n58031 87614\n2268 49570\n33279 97187\n17645 58656\n7941 30323\n40495 58121\n92864 97257\n8092 50398\n18961 67812\n14766 78980\n13179 13994\n36258 91423\n4247 13696\n69341 89959\n14361 99626\n24948 99026\n87543 95643\n30238 72548\n26457 60805\n22859 31785\n24452 63854\n2018 42636\n7765 73509\n12285 67534\n38462 58082\n70381 86225\n4687 77296\n22246 84349\n3723 73426\n43024 95832\n13817 85419\n33679 85232\n17808 90974\n19916 52009\n52604 86467\n39680 43351\n14661 85891\n28452 50470\n19127 40270\n5931 17960\n3169 44172\n9814 38998\n60928 94362\n51891 51990\n36207 45490\n3328 12084\n1974 58437\n6454 59134\n28843 99593\n2255 54570\n37659 51973\n82939 92590\n17138 20131\n29459 64283\n49940 70186\n18440 35372\n35719 56545\n69416 96480\n5870 49327\n17365 17698\n11118 23442\n25180 38941\n55735 93375\n8123 56947\n40515 64853\n30051 91570\n16181 37293\n17643 45293\n65001 72674\n9646 47515\n37092 77593\n53693 95041\n84116 90253\n33405 38366\n39573 63205\n28598 86608\n19478 84591\n35796 64337\n357 63167\n32971 62890\n17994 77545\n58722 85230\n37689 46296\n43444 79836\n18126 74729\n20971 78205\n16653 87355\n45758 79556\n49888 52455\n37534 46664\n3766 12253\n31304 91793\n32205 46743\n13725 27607\n33832 84805\n10240 20826\n28733 36061\n42275 95049\n14816 64896\n7690 98775\n46945 98895\n182 77011\n10964 78539\n11529 95121\n20228 60387\n6945 82468\n22005 93066\n10338 40432\n7967 63737\n21517 79037\n50806 75811\n4286 87016\n16706 56011\n9890 96243\n68995 72498\n42366 50646\n28251 79723\n733 72620\n40188 62268\n49844 49871\n30944 76375\n25060 89179\n20092 73851\n46562 77566\n42379 45701\n41105 70646\n43152 50280\n26834 65045\n7995 31676\n36946 75135\n32515 75487\n12667 60456\n49577 73098\n2394 80756\n38934 46723\n14762 30118\n22957 48217\n98158 99405\n18289 95791\n85629 90601\n10419 70939\n29682 98491\n18832 70041\n63545 87656\n19101 50775\n43191 54281\n5657 40585\n52548 75779\n37679 59680\n3488 87345\n6105 28137\n24505 80744\n40779 79643\n15950 28363\n65920 74896\n138 60328\n34293 36717\n39460 47478\n83953 97251\n38044 50272\n3769 54928\n11055 65986\n39405 95489\n6457 67857\n23100 64730\n36549 50053\n27015 78044\n20500 21948\n14182 60038\n2265 28450\n598 95035\n5781 65552\n3662 72353\n18918 96392\n61866 68088\n42052 73224\n75353 99467\n41452 99693\n61073 72313\n62804 76131\n11010 76575\n40982 56698\n12889 13197\n15672 99408\n2929 81741\n9106 31441\n50432 58811\n9036 34032\n37283 81570\n28894 66888\n11116 85522\n13507 92400\n2016 42443\n13538 18925\n69739 94611\n62465 93768\n1407 46436\n49408 96491\n1846 13964\n11952 87722\n59903 75860\n59222 60659\n17331 38810\n12869 48308\n4820 95082\n59646 83428\n38702 89631\n6870 56710\n51345 53543\n73432 73480\n66282 95126\n44333 54739\n32801 99947\n7925 50653\n42272 74111\n10415 67065\n27061 82571\n49025 91900\n53923 81068\n3284 5656\n44638 69143\n14868 56830\n43484 78426\n12436 89699\n27965 47172\n16842 39191\n35694 98099\n3759 81311\n18162 29812\n24660 27409\n7509 33942\n29932 32685\n1760 8654\n43610 58547\n37757 62719\n325 78513\n6143 20009\n11853 99077\n37515 46173\n18759 84451\n22730 83878\n3839 10020\n81688 97057\n38457 94200\n50558 56910\n8374 29874\n39056 83035\n10961 70764\n4036 18672\n91645 98473\n32464 61060\n34726 94546\n6711 25385\n12785 38351\n83116 96592\n14183 66566\n16338 94586\n73779 84342\n1996 90099\n31828 53859\n66627 98106\n263 18694\n37825 66172\n6989 8915\n3475 91431\n29341 53211\n81901 84013\n36355 44036\n6447 63266\n10619 77724\n28418 42759\n27826 33447\n62073 69938\n10461 78757\n52412 90823\n19717 50650\n73616 79589\n11005 48748\n15055 55731\n60105 61026\n36279 69219\n37154 98494\n93590 98368\n38521 72860\n25760 44512\n84439 96017\n64137 94861\n33650 89893\n48826 85783\n45866 82861\n5706 37098\n35623 76463\n64316 95627\n88626 92489\n48826 49206\n4702 11079\n3488 25099\n20783 90717\n14359 35324\n1952 84720\n24393 45019\n15653 73029\n73772 95299\n2425 76739\n30617 85634\n46144 63228\n14499 78955\n17073 44862\n1514 33113\n45210 90778\n10826 11549\n61818 93358\n31851 41604\n19219 97190\n34921 47416\n13913 18419\n1464 77961\n25763 95263\n5013 73476\n10803 75581\n20567 28391\n4145 9073\n78009 84946\n27878 74084\n69274 79286\n24498 84271\n54643 67118\n41983 51150\n8553 42636\n38123 93992\n12436 50361\n48734 58257\n40103 88653\n6178 81231\n65518 81459\n23679 31931\n45655 99073\n11372 64910\n18761 44267\n12551 61912\n68516 86689\n86171 90339\n1739 54001\n23633 23944\n22743 26838\n6687 55783\n22944 44193\n13524 21742\n12776 76038\n8235 97487\n31077 42506\n39013 52533\n24364 71986\n78026 79136\n67901 86098\n21786 98671\n2970 19941\n11905 32056\n10865 99913\n18277 53172\n13109 93627\n71222 95035\n54777 73365\n29411 90690\n31070 88582\n23405 81096\n51801 94994\n12529 92728\n26761 48573\n38613 82408\n61093 88736\n17060 53997\n31077 95373\n62369 66211\n92425 95742\n3100 39352\n16931 54855\n310 60289\n17351 40131\n42385 76061\n70598 71041\n22018 43356\n10451 38793\n72146 72635\n6645 9694\n21372 23654\n35339 85706\n31322 41266\n36784 46138\n27254 68045\n63504 98259\n88960 95851\n79883 97457\n12639 47756\n8513 90912\n70 48144\n13049 86369\n66110 93944\n15964 99514\n16420 47655\n1857 30077\n10435 56977\n16130 16718\n63212 77559\n44341 82094\n53049 77528\n10390 17684\n15135 98181\n64628 68011\n53394 80719\n20292 22593\n18534 20332\n1555 73027\n21770 26376\n43143 89529\n31401 74688\n6817 96100\n4056 19522\n4953 42343\n14343 43737\n12011 80679\n28239 92040\n24038 41086\n17103 45569\n17476 54239\n30680 99464\n32701 84906\n2121 12675\n6367 95364\n43604 65945\n64479 96850\n6603 28558\n12432 47464\n73570 93700\n39056 69885\n57170 76230\n4596 13413\n7664 75759\n25489 95241\n52333 58551\n34720 51633\n13446 70206\n37879 97306\n4813 78558\n61584 71063\n16010 59082\n22188 96634\n207 77118\n30701 76041\n72612 91052\n55354 67917\n55383 89328\n46051 51873\n42579 72413\n21909 50615\n48173 83356\n7700 49346\n33015 68693\n18113 50564\n65465 81557\n39 94193\n8072 19292\n37989 70607\n10591 63229\n81590 91231\n14437 67526\n34683 51924\n32977 47035\n224 66240\n14722 49623\n43894 44375\n84 97733\n63297 81032\n25424 44488\n55741 67848\n31268 74771\n11959 70507\n25246 38241\n1066 3169\n33010 73294\n17241 73725\n3495 98374\n12608 51507\n35601 63381\n13249 85770\n14601 65455\n11226 47686\n94251 98141\n2061 97851\n22280 28099\n86247 91370\n37926 95248\n25432 49313\n4561 80554\n20330 96673\n9333 17324\n18746 37920\n26236 78465\n65157 94832\n57874 85606\n73122 98809\n34895 78166\n36676 82334\n45007 91431\n55609 66933\n72641 85443\n46031 89605\n88467 89240\n70096 83315\n11705 60959\n41027 55227\n4006 25881\n55898 92111\n61160 82738\n20786 66083\n10425 63020\n1469 56394\n25133 32146\n29718 30143\n71916 81974\n4181 93729\n59247 83685\n11449 53894\n44667 66520\n7157 93286\n4492 70394\n26300 31568\n34196 66611\n20734 73227\n7678 18505\n9901 83262\n16428 83664\n29935 36369\n1126 37639\n18384 70157\n40109 76174\n38713 69266\n34154 75358\n16867 53267\n27201 33432\n4258 13492\n43971 55720\n77794 89287\n37114 80843\n50363 63623\n55330 94663\n60144 68814\n51709 62745\n22975 74413\n37200 62434\n30351 49711\n40252 79819\n19615 45558\n3215 7443\n76500 90469\n84210 99726\n47363 81239\n91505 99402\n30501 95119\n4996 48540\n7838 90874\n33998 44383\n7492 15681\n7597 43174\n28184 55319\n50553 51473\n12896 77640\n60529 66307\n2117 40471\n30703 46234\n11528 62663\n12291 70849\n76653 91410\n3222 14404\n54660 61374\n4540 91076\n18267 61606\n29265 78981\n2487 43269\n22422 36869\n6404 55595\n91525 93571\n13477 24984\n18550 41996\n41255 91319\n34360 92395\n77921 80116\n29634 61054\n15913 53705\n67116 86012\n33252 97708\n38952 62191\n8170 38109\n8555 51726\n69232 72274\n50811 77596\n20824 88999\n81756 96281\n58199 73714\n47210 56219\n85168 98032\n84055 98467\n21428 71095\n19714 76997\n18205 52862\n46966 52845\n59719 65097\n9307 98760\n28698 38759\n6418 8857\n68647 72728\n77903 84918\n16047 67856\n68742 73128\n42787 66505\n16397 40822\n83205 90933\n38658 69956\n45839 98533\n20155 48779\n33561 99582\n31481 97548\n5621 67401\n15647 31668\n6121 67277\n22305 28713\n72219 83673\n63740 74281\n27875 31145\n37588 72072\n14625 26970\n31213 48914\n40678 86653\n11416 54475\n26367 65030\n38313 44018\n4651 18175\n22136 28120\n34214 65405\n39643 59672\n12263 45090\n58284 64191\n26294 48522\n55790 59791\n28042 50421\n25454 66298\n82389 99058\n44268 96580\n59455 91523\n55861 96122\n23420 82780\n18829 88468\n20515 37814\n49117 87957\n3721 98990\n29975 82182\n22294 82879\n40373 42342\n49542 77419\n258 49992\n8717 35307\n10699 52076\n60009 91599\n75760 87231\n58869 99390\n25815 86541\n67879 72935\n6272 90537\n63623 87045\n44372 71547\n9919 10627\n2460 18892\n91511 93714\n18708 47912\n34710 49570\n19367 77457\n72982 81677\n3640 27923\n21123 75090\n35639 66277\n57949 67659\n44641 67630\n34332 38243\n53423 65989\n46965 62041\n15531 38434\n2068 83743\n43249 46503\n15595 43440\n35560 71597\n29342 68572\n22852 96839\n26393 31599\n42478 44538\n36832 82051\n28556 48105\n12133 52581\n14076 34841\n44397 88820\n4801 68355\n61512 74241\n4991 14288\n245 12714\n10125 91982\n54572 87572\n70488 84320\n19354 66309\n5317 41979\n50610 90587\n50877 96690\n15596 27102\n61685 65019\n6308 53304\n81263 88677\n57911 80408\n14565 24586\n11505 58601\n63859 79612\n44442 74033\n16051 65818\n32537 40748\n8386 83489\n71236 72532\n5253 22508\n4988 28203\n10444 69855\n21293 29391\n31928 58792\n28495 61516\n93216 95314\n58183 62487\n72653 77141\n4032 71562\n8410 81790\n56775 76270\n38265 97568\n37882 81327\n9236 14443\n72328 83930\n21596 31667\n36717 68536\n54493 99908\n33907 99474\n33747 80894\n67219 74367\n89224 89725\n35177 98697\n8699 26987\n61288 90642\n15855 59583\n88080 89085\n48441 81886\n12949 36323\n31840 32168\n19948 26800\n19581 74996\n77658 89340\n13759 67026\n25467 51047\n55959 72287\n11536 78860\n16660 78499\n77306 85250\n33758 90428\n50549 63228\n28273 68432\n18996 47447\n11289 24731\n2520 77386\n16852 59064\n7698 30060\n43379 48902\n16071 31069\n64879 85983\n35062 63426\n61470 72134\n54881 83010\n55114 65702\n38803 77712\n11305 30581\n40894 83533\n92046 97348\n1222 73215\n8399 78589\n20262 96581\n37494 79431\n35574 49896\n10968 37473\n46742 55751\n35099 42672\n11921 97014\n72216 90454\n1448 65526\n68401 69941\n25900 47851\n39812 58075\n6659 82537\n12643 68097\n26891 78431\n42572 84726\n41524 89571\n5033 36566\n18271 69939\n81110 94114\n9198 87406\n15135 46139\n49472 86211\n54813 82513\n21714 27672\n10308 79174\n56034 72198\n59880 72522\n13355 80862\n27222 79127\n25906 90474\n6030 42254\n18241 45955\n55029 81647\n22186 50445\n44128 86034\n27780 28806\n16822 19668\n31336 38006\n5310 69959\n15444 20842\n2932 95321\n3398 19252\n8190 61234\n27703 63655\n61291 84047\n51733 56607\n54215 95066\n61952 72698\n44195 50508\n49938 65444\n34219 64958\n55322 62948\n2766 53428\n11828 42267\n12397 26022\n47065 82447\n7503 15956\n26098 54830\n51080 90604\n16063 19705\n42327 89656\n10304 91699\n25195 72152\n16680 35910\n20582 66162\n34402 63262\n13876 52006\n7350 72565\n62747 89796\n83199 93358\n17560 92588\n65401 71707\n17794 95714\n48549 57657\n32808 86156\n60341 72995\n59524 96721\n70826 88903\n39776 99915\n49973 89006\n44311 78447\n3709 59321\n52574 69069\n55049 73304\n30391 96416\n2456 28583\n21186 78399\n42956 97487\n17299 50914\n8213 76700\n19140 78178\n23469 82442\n52323 92900\n40740 45417\n4881 17556\n51079 82714\n75728 82392\n13298 82114\n10602 72405\n33871 54842\n10044 77238\n17593 34713\n61681 64363\n10035 56434\n71491 99079\n44755 57786\n90078 91490\n82527 86724\n80683 87779\n21229 83108\n1658 77787\n21214 27462\n37586 60898\n13841 46608\n50481 76444\n30989 64725\n35583 99152\n91345 91608\n56820 96844\n12167 54205\n47058 77858\n3518 80566\n43654 60267\n36207 66282\n52389 59305\n24921 73151\n88666 97007\n37760 51156\n19324 30657\n49183 89525\n43558 56830\n15612 84664\n35296 50464\n65960 83192\n10218 89171\n48377 66196\n16686 72890\n5905 54205\n4805 46719\n9600 22131\n30813 33469\n9494 38757\n60375 78240\n28149 91286\n30796 42334\n86566 90358\n6388 86694\n77112 91168\n31307 41878\n74902 94180\n18992 61022\n37599 38699\n12131 80066\n1095 85077\n54153 85172\n5104 24604\n16358 59130\n42348 43473\n29381 98560\n8573 73295\n4894 5467\n335 76375\n19055 72140\n51992 79641\n1664 7801\n54381 84752\n52884 88175\n17334 83560\n15908 66988\n875 49381\n47390 83687\n12724 62851\n11483 36506\n37959 39171\n20520 90071\n39230 62116\n69113 87189\n49301 78877\n6899 43624\n47222 94068\n60805 73546\n22401 72339\n67360 75278\n36770 79344\n10486 97240\n21580 77676\n23325 92353\n80319 85254\n42109 72662\n1454 46698\n29800 78568\n12795 32788\n14245 69378\n49713 62558\n19252 83678\n11997 32729\n33436 46457\n17331 61854\n15923 34616\n23409 90746\n46245 59633\n12802 26346\n55357 64463\n67046 91682\n18664 39849\n22967 48364\n55039 71510\n51350 89507\n68928 82074\n37799 48266\n28686 61120\n84699 93280\n49824 67718\n5555 42579\n19684 95310\n17107 60056\n4860 22433\n40931 76578\n23141 40951\n29949 91404\n45265 60129\n26411 70738\n20596 72968\n69677 86700\n16324 67456\n55302 69675\n28736 95048\n35601 61439\n34526 74909\n49802 72350\n31344 79626\n33708 48968\n2635 93440\n40806 63169\n31675 50780\n14249 25673\n80853 98296\n44807 58471\n17562 27114\n13482 18599\n68273 86450\n42660 66950\n4510 93623\n71751 97621\n7907 73897\n24155 63906\n20682 74430\n49028 71251\n26567 51989\n18894 77132\n50242 87658\n72682 96921\n1462 17521\n11286 55957\n44997 73740\n22945 87867\n27277 37245\n10568 76439\n75643 83029\n69250 84610\n8076 83626\n48260 61856\n19095 89230\n18119 91882\n22893 94832\n34120 39425\n4104 95939\n63595 68307\n7692 90507\n54147 98246\n39714 70093\n22268 38996\n9329 10514\n22861 68546\n11658 24658\n59466 79624\n1581 20152\n78171 91883\n4910 40360\n30612 74898\n50190 51989\n53217 97084\n36599 71745\n22422 74197\n18781 51923\n72786 84532\n71554 77757\n40925 61285\n18725 94845\n6304 43416\n87648 87894\n59727 89051\n74125 80501\n57595 74272\n44616 60929\n20229 91229\n12416 60325\n18248 26871\n55060 92612\n5026 74520\n28350 30707\n46615 54838\n28505 92491\n15176 85195\n75083 85426\n53517 79166\n78889 92363\n19002 96889\n24023 64043\n89467 97134\n40684 90233\n90629 94395\n60218 64222\n45638 76434\n6022 36836\n11607 44453\n36551 85278\n83376 94812\n6881 60898\n17081 18622\n17969 66381\n6594 15977\n32580 40069\n79866 88437\n60237 72525\n15051 47510\n19140 19993\n45276 88581\n77241 99923\n6901 7298\n15918 46145\n13737 54465\n46105 60011\n8420 42934\n6252 68861\n30855 35156\n10867 31390\n80678 99155\n65790 74655\n82408 90070\n4638 13258\n22007 43282\n64857 86596\n36733 93048\n39874 63052\n28176 42157\n66406 78410\n50376 70123\n583 22818\n36422 56752\n10464 12000\n47861 66042\n51779 75223\n9553 73054\n11423 42279\n15366 63203\n2505 6028\n52007 85822\n39904 88600\n71602 76128\n33740 63431\n53750 63728\n20050 39432\n58650 93123\n34376 58356\n34985 50444\n4380 87853\n56837 62194\n5617 7947\n45212 97294\n10112 17376\n16644 47160\n71564 82459\n26727 84964\n4012 90945\n3646 69749\n12877 37556\n8611 16264\n70444 85174\n26726 37927\n2384 44854\n73645 74741\n33278 87923\n1362 1943\n12723 79554\n7643 75416\n60889 75414\n37582 48223\n73016 94265\n65105 83631\n20530 90784\n23540 39398\n11632 19734\n87211 94649\n42139 44494\n41556 87693\n79459 94217\n4045 94295\n17182 40480\n45023 69689\n64955 82715\n14899 38099\n42876 85037\n81284 97225\n34478 39599\n21041 59768\n11847 80980\n24792 95079\n20333 36960\n82358 90075\n45495 54861\n23801 62034\n26894 62355\n19980 90032\n46833 72269\n46272 77278\n45335 65262\n40551 94483\n59925 90833\n32468 81014\n18896 89300\n3149 76585\n80662 97687\n69480 93733\n25490 46513\n87804 94827\n952 53608\n35595 66778\n27779 40359\n10016 35941\n77785 78083\n680 68343\n23550 50261\n74209 88006\n14565 19653\n6056 99036\n8116 74220\n6322 66049\n10907 13978\n39082 69384\n3383 90845\n7872 87070\n19097 48961\n3528 42788\n6341 24434\n42901 45999\n32405 64502\n9469 96181\n31176 52131\n32946 34889\n89296 99364\n10165 12327\n22754 98421\n49551 95626\n11949 43106\n28534 90354\n27521 99608\n10667 84298\n38070 44118\n33550 78342\n43155 78429\n235 23690\n5009 93727\n42930 74874\n81772 92417\n53671 82185\n38824 88386\n6626 16814\n22936 23528\n3716 79842\n14921 98626\n64465 92385\n2618 75710\n13916 38581\n1037 62352\n8794 94833\n12814 97214\n74752 95220\n25032 25769\n41727 52167\n40220 87864\n12294 84767\n19767 86808\n35689 60348\n70733 83472\n31334 53664\n40962 61364\n44925 84110\n16333 72581\n8490 58182\n54170 83713\n34495 62822\n58566 86253\n2461 19821\n42713 55442\n728 40209\n61321 97466\n21333 26976\n7919 57594\n53999 89742\n1702 95639\n3966 5697\n27936 96135\n55876 76014\n33462 51697\n47116 83479\n32202 76107\n22627 78218\n36834 56632\n9678 78556\n14583 35805\n8039 42224\n7566 81517\n15602 43238\n50791 85330\n55761 89856\n7683 64563\n68556 75905\n8877 52908\n7115 79465\n82999 83306\n86506 98442\n419 24519\n24067 85357\n60472 83016\n13066 56248\n13781 74426\n46663 61019\n205 3148\n3557 76326\n35503 57834\n28912 38723\n28272 34529\n11912 41294\n65380 74563\n24012 95239\n30159 36339\n39193 55265\n16405 90130\n14652 90176\n4530 95888\n16685 29618\n7954 87807\n54201 78441\n31131 66617\n84684 84816\n16085 79575\n37555 38421\n72820 80511\n25296 26601\n71098 76515\n56402 58175\n49870 87532\n52466 88327\n3985 51050\n3482 42365\n12678 36068\n56210 98410\n28085 34399\n8749 20697\n79270 96097\n2951 88140\n20276 67778\n73289 93259\n16373 69716\n26969 53250\n17388 83952\n21305 91315\n76423 85149\n12449 21780\n6517 19428\n28675 30794\n10633 57527\n28143 29651\n22401 51638\n4156 60035\n33105 52428\n46573 82810\n1758 4318\n39917 61692\n44931 87034\n61031 80664\n59342 95158\n12494 20667\n58677 61461\n37024 39539\n80943 99556\n17834 53212\n8867 82942\n7580 34571\n913 84571\n52638 99386\n46822 66560\n4121 42956\n10911 27028\n5015 95844\n33950 51808\n14493 21546\n33706 46325\n18049 73172\n36448 97859\n22923 32709\n46494 64302\n63797 97536\n8711 77564\n5261 17809\n12512 49347\n55616 86283\n33381 46279\n22954 29035\n66642 79360\n22422 62171\n10135 56651\n42410 81738\n20197 92983\n33348 94411\n8407 86497\n46292 78741\n4774 24369\n31369 33930\n26235 79843\n32758 41294\n10916 82335\n18037 62544\n25755 98004\n19198 35924\n15512 39897\n21255 22391\n23949 71321\n7425 50492\n6095 80798\n84507 87840\n31118 88216\n34107 75917\n59719 95641\n41722 75354\n14774 66592\n11478 54364\n29901 63046\n51844 55973\n35013 44453\n30542 90648\n62217 68209\n4982 11480\n76020 81939\n3843 14715\n11300 27360\n58815 59071\n17283 66699\n21673 27330\n79654 89590\n60179 64957\n23718 87723\n84874 99874\n48113 72338\n26757 39097\n5531 77502\n57560 87745\n40111 98973\n11497 81480\n70754 87158\n32747 72560\n4921 99764\n31691 79462\n54282 66439\n13546 82071\n8848 74345\n70809 94832\n28968 98156\n26828 66859\n61655 76381\n46845 62093\n18453 94157\n7490 97290\n1963 34768\n2488 99966\n15922 77441\n53062 75524\n5347 64317\n32635 90264\n22239 71499\n2758 75607\n10724 44645\n76725 84643\n6202 21713\n22596 59215\n67684 71272\n16867 44428\n78978 96981\n42874 66349\n51318 70896\n14721 53219\n5975 34177\n46365 88133\n40948 61889\n9693 26743\n23916 35287\n24436 99667\n49089 64959\n13634 52834\n32661 97503\n8783 98568\n81726 97698\n5266 84714\n27102 36599\n23542 86840\n2279 73543\n26089 61312\n29046 52543\n42823 68362\n29865 46116\n25501 91139\n19560 54928\n23956 85913\n13782 97652\n46328 87851\n63490 91517\n15810 92063\n24090 33048\n11668 61565\n1827 57191\n23959 31622\n66202 76362\n24179 53825\n2256 54531\n5938 47250\n46970 79112\n4231 7866\n26741 42992\n8041 77981\n8083 17058\n2935 60565\n10569 84059\n24772 50815\n41763 73810\n12192 13733\n32989 59472\n12760 31161\n44771 98568\n2075 57310\n32420 70119\n84967 93725\n33788 95879\n12001 92986\n15483 64520\n74344 98905\n53410 74250\n22583 48765\n14383 15883\n1564 24190\n98490 99189\n59719 87369\n6893 47517\n1417 38058\n24741 54717\n8633 32510\n4820 73751\n23023 57445\n15031 20356\n16597 58580\n19823 93792\n32714 54222\n14549 87253\n37890 59855\n19279 91512\n54127 77010\n32823 48476\n1774 28965\n8307 86425\n24211 73629\n21290 33871\n13540 43978\n61171 61383\n77132 99320\n16645 22809\n90607 95923\n508 37230\n56280 69193\n71898 86852\n18104 32587\n4787 44268\n48588 61910\n34977 47660\n76252 83586\n879 33521\n37168 82055\n8922 69252\n10076 34922\n87358 98181\n20761 45238\n12943 18685\n31034 56106\n25408 36318\n16871 59650\n39777 69345\n10452 65303\n13629 98380\n22326 39578\n36134 91306\n607 74516\n8409 66796\n20318 95179\n10013 41292\n51827 64567\n39077 40509\n44116 89954\n55904 83702\n39993 52978\n7377 68005\n45807 88328\n37859 47180\n6191 18697\n34163 79449\n51051 68933\n26773 94748\n44898 71774\n12155 37500\n29893 92514\n7061 54265\n11918 54361\n72369 95012\n45915 57201\n34025 61303\n8481 62390\n9785 55688\n1766 6342\n85159 99451\n22338 87976\n71616 79491\n35013 44613\n68443 98783\n33499 34517\n47286 88595\n93541 95388\n69872 84484\n47855 55096\n43859 81420\n81427 82324\n73125 88282\n632 22022\n6992 87542\n63769 84784\n26479 74124\n38790 91733\n33748 70920\n24862 28218\n53581 59609\n27135 84711\n18074 33278\n20001 78535\n72219 96279\n150 84641\n85 43328\n2437 34232\n51426 54852\n2544 25758\n19896 59089\n15325 52156\n52041 84280\n46593 52425\n20141 36262\n7931 89644\n54383 66810\n60471 77864\n20146 25915\n46735 67842\n44828 83859\n25273 41135\n36859 96236\n28669 89071\n38203 77684\n57330 68950\n77108 81674\n20805 36057\n49719 50485\n12744 40311\n58305 84550\n8258 82396\n51724 57164\n9042 47076\n45478 59121\n10488 52462\n11690 85872\n35087 63374\n86830 96847\n38547 59891\n53852 90368\n13565 42090\n41340 60483\n47760 98001\n11156 36165\n6726 87239\n50144 91312\n5263 79713\n20381 86548\n49148 99727\n41104 89248\n8888 87610\n29181 61635\n3227 22107\n31331 98647\n36895 73849\n33053 90164\n60348 82349\n16368 28581\n65338 75806\n10300 33987\n22754 30222\n26550 97603\n75565 95386\n88655 96197\n22342 44779\n35978 53117\n22013 92973\n15223 39044\n3793 63868\n10259 19181\n22987 57972\n19153 32362\n12622 70851\n13502 22197\n1237 76282\n58018 97240\n44151 83028\n1238 11620\n22134 33817\n83878 97786\n33561 79105\n22022 63537\n64105 79877\n25505 27550\n12494 21815\n78608 87410\n50730 89297\n44556 73443\n77693 95541\n18473 69206\n5534 26941\n42491 53881\n16439 34052\n78559 81436\n13098 53579\n56565 76725\n5052 20087\n39623 54490\n69025 95737\n6476 41228\n91554 92745\n46970 75478\n14447 83793\n8632 66211\n17745 22053\n57436 60780\n25564 95676\n12222 42311\n7385 29117\n32826 69684\n28391 67065\n53431 92882\n19933 81486\n21449 73145\n27681 40790\n30480 43808\n37780 58978\n56997 85437\n41694 79108\n54666 55712\n23841 87225\n48837 92891\n13798 27632\n27554 67999\n39852 97206\n65372 65428\n6484 64733\n11683 50879\n31390 70542\n16827 54465\n8117 97306\n41760 49186\n57361 74488\n54676 67870\n16486 72650\n32406 84239\n923 89245\n5130 71259\n38075 84773\n8526 23379\n75811 81291\n39632 95504\n24639 86820\n62888 73091\n47296 84691\n15583 70805\n17862 42716\n32888 46253\n45695 64770\n59927 73806\n73040 87553\n5883 53078\n4549 31034\n61380 98816\n20864 60892\n33274 38512\n12284 90212\n2809 73044\n7623 83968\n35983 49187\n18015 88010\n542 63040\n25360 41048\n62575 91355\n64767 72359\n61618 82357\n49257 92710\n6827 36959\n30891 33819\n37382 42807\n51682 56105\n44787 92163\n33503 70099\n80012 93808\n13344 94743\n34718 41659\n50737 64253\n66839 70964\n30456 33340\n58805 73759\n14502 42934\n86953 89372\n41592 43096\n32978 86844\n18394 46298\n18804 26385\n43721 81843\n40784 70925\n12483 82617\n54569 72179\n28940 90484\n29355 47968\n26740 65024\n50798 58781\n34901 81958\n56827 98072\n27401 48407\n18060 47491\n34215 35179\n6254 23077\n50857 94095\n49418 73911\n49339 72332\n12539 82053\n30417 42618\n37474 97263\n8616 52572\n30301 54335\n7540 58648\n13491 99358\n16583 17084\n38411 62443\n5637 90536\n1514 80836\n63127 73565\n34063 80875\n23772 75820\n18786 59665\n28561 73727\n8360 32326\n33516 35833\n7867 69315\n63189 78347\n64565 68725\n48927 81486\n4496 76991\n11664 26361\n35981 88875\n34763 56583\n29072 76190\n37642 52736\n17999 53547\n10094 82977\n5180 80398\n31004 63230\n40062 94114\n72092 72929\n42408 85555\n10310 21009\n5755 44392\n32111 58353\n36198 84819\n45697 99558\n47953 72837\n47975 59637\n52188 79703\n33025 93314\n62732 96791\n8660 98188\n38392 47259\n4381 95032\n42558 48377\n676 22932\n46466 84013\n53801 97042\n6772 27474\n45594 82909\n22506 57655\n25787 81610\n65644 83605\n37200 89708\n1393 65864\n9144 17960\n77082 92783\n25913 32360\n68361 88136\n25467 46799\n63438 72099\n24604 95225\n6702 43761\n40109 43152\n30448 34746\n39317 79385\n4680 73788\n8399 91525\n45414 48492\n9943 53448\n61800 89045\n56957 58819\n66429 76895\n24680 70623\n5563 41868\n63537 88172\n40559 47354\n9986 18159\n31264 66543\n37812 99846\n14231 33910\n5743 50194\n63831 96201\n26798 70956\n27775 38006\n3715 58360\n24508 30561\n29382 58127\n53237 64719\n68808 75102\n28520 64072\n59005 72115\n41556 66045\n47044 84368\n35514 37464\n28938 99636\n34223 64580\n60332 81149\n38698 82006\n17531 55726\n24984 74959\n631 10137\n66262 90043\n13008 58832\n5909 49057\n56641 94125\n83393 83618\n17853 61868\n25369 59068\n29470 43492\n61493 71338\n48056 57553\n34069 94701\n10127 94380\n7908 68678\n5308 29405\n10387 91553\n45042 78157\n7654 94110\n22487 81527\n73920 83822\n52228 91493\n26502 74164\n8342 21874\n52080 65728\n88537 89256\n28219 95406\n33073 83517\n61782 71303\n19123 62593\n59742 84480\n1423 41637\n54396 89575\n45283 50228\n1338 22239\n22044 59673\n44378 53394\n69548 91412\n26108 64405\n6500 66865\n45455 77208\n22039 96967\n55138 99287\n93996 98011\n8212 92615\n3354 65946\n48035 60765\n54720 75345\n9409 92082\n19924 34633\n62430 64150\n26531 53829\n10590 79266\n36474 38839\n42631 59304\n29412 52203\n12304 29979\n53072 72334\n4499 13947\n24901 55986\n58903 75068\n14125 48110\n11737 60940\n88242 99669\n58136 81537\n38988 76500\n22913 90098\n22221 64085\n51580 88459\n12725 22804\n3174 60074\n3295 12924\n50546 54703\n20253 94242\n39815 59558\n41860 46209\n7054 71743\n32818 99738\n3507 62552\n48941 66748\n22264 80871\n28192 79117\n16933 50654\n7389 82388\n25227 95900\n3219 55048\n78812 96829\n292 30898\n11835 32166\n2216 10070\n26252 57177\n9106 73074\n23456 90535\n20162 80324\n25933 56979\n40037 86672\n62081 93102\n20438 91414\n23454 89382\n51687 95977\n810 45035\n26611 78616\n27275 86246\n53659 99508\n31601 56616\n56093 79756\n9180 63362\n74739 78346\n43583 90472\n35419 37303\n49894 79208\n10925 77643\n22821 38619\n78700 91456\n25131 40602\n17578 30752\n55089 73865\n7904 90478\n9136 55090\n11663 28499\n27122 55498\n3247 53429\n22753 74899\n45571 75878\n534 25026\n7716 25073\n77870 79597\n27486 74500\n37717 42195\n81047 89960\n56769 84186\n70558 95983\n22700 45747\n6325 31081\n23348 49776\n2393 77599\n73503 83412\n43121 54279\n59037 64016\n17249 57668\n2347 17670\n29376 78215\n46592 78938\n15409 58630\n13089 76267\n91809 98588\n37739 62673\n41972 94838\n68664 92149\n30288 57893\n77970 96811\n51522 81901\n14026 98100\n45716 57792\n57451 85292\n8291 28712\n47847 90420\n26954 93686\n27432 46434\n32459 89255\n27469 55848\n64505 95891\n16582 25626\n14758 89225\n35312 61083\n51378 72965\n21729 49831\n34900 40489\n55002 87341\n39696 76681\n61315 75384\n79169 89950\n35668 67520\n32144 34315\n6206 28503\n44456 46532\n43073 44128\n49164 83650\n37022 73931\n22602 33385\n40226 70541\n9481 35761\n81719 94201\n36505 98938\n26488 48918\n24644 28933\n14108 37293\n38004 90067\n31090 93479\n13991 53986\n60979 77874\n65279 78838\n13779 52486\n6945 85233\n9890 66586\n10268 60175\n9932 29905\n85561 92300\n18263 93842\n14396 39312\n35278 64571\n8062 55983\n78189 84899\n25148 34934\n40165 70320\n8875 78174\n57348 72840\n9569 38590\n3580 91750\n38785 69987\n55504 84066\n60771 97024\n36454 56511\n9533 58604\n24413 81813\n31786 66963\n21398 59930\n12869 91893\n16003 87602\n3349 55850\n9054 72523\n37282 41539\n18470 48280\n16997 96217\n26737 54656\n31895 51769\n19404 37733\n26438 54573\n36509 52470\n35482 80389\n35555 93804\n8774 40139\n5536 86041\n36606 63943\n55242 91120\n54948 83354\n14144 80987\n42584 66794\n3260 95249\n3942 57803\n14588 49963\n2846 79816\n82367 95510\n21149 97354\n11470 41790\n21894 79225\n56422 99467\n43287 82043\n19673 30818\n5678 47566\n26306 82452\n37652 78863\n8576 99117\n23704 25480\n37660 99895\n12006 54175\n12090 41948\n24444 89759\n34734 97914\n13702 97082\n8535 27300\n85917 89407\n22318 37656\n58538 73608\n51521 59945\n2945 42198\n15743 66088\n10124 89920\n3473 93933\n29283 80255\n5421 45221\n32816 43851\n6527 21167\n38210 47197\n51680 58561\n28325 30440\n6028 33485\n70162 87266\n43507 67787\n10115 27322\n60369 93196\n50928 86975\n54306 68246\n21820 26027\n31022 47277\n16172 76407\n35992 65595\n978 16781\n688 89828\n11202 18281\n3893 23057\n66666 76237\n8529 84307\n28907 50405\n10547 46351\n39773 63048\n28025 83194\n27465 63053\n44761 77198\n79810 99251\n1822 39826\n50442 82516\n64681 86180\n9861 12140\n41669 75277\n26964 75200\n22580 51594\n59284 82479\n46150 91651\n757 6507\n69893 75817\n27580 89519\n21109 57875\n23152 56164\n41156 67344\n29248 32631\n63102 85285\n30151 93128\n49356 76705\n43316 78402\n8163 48457\n11661 87150\n24138 66739\n36146 79912\n7904 39638\n47329 85680\n81168 93498\n2424 36093\n12931 50077\n36722 36745\n66596 76214\n43112 61608\n42545 72103\n87680 96719\n39196 91944\n28416 55449\n41172 65660\n16528 57210\n59063 89348\n45146 81099\n11360 59725\n15205 33511\n20497 95206\n25460 71983\n52035 68602\n22406 36959\n29235 89350\n21180 68846\n2944 57585\n3253 53725\n35974 98655\n15175 47416\n50842 82856\n75585 76786\n39538 80427\n21504 32643\n36299 58121\n19444 54863\n519 34198\n66636 84759\n33110 85536\n12283 91936\n14714 78825\n16140 46356\n4593 63675\n12669 44027\n27538 88114\n16048 60792\n33203 57252\n1777 13003\n57318 71821\n17213 36961\n73764 86460\n43419 72639\n75044 76491\n41091 44202\n74956 95700\n10582 41763\n61231 95137\n36566 78041\n26975 29970\n31287 52391\n31380 32937\n40586 84407\n9384 75145\n29782 77791\n27683 76697\n40348 57015\n57991 93135\n43955 54400\n6138 67084\n48188 94700\n60802 91342\n35234 48906\n81372 95631\n51750 55576\n26860 73446\n20147 39688\n14021 15075\n15177 86089\n40444 66289\n73317 74680\n6616 83990\n58433 62276\n41095 84986\n86272 98827\n77213 93117\n48861 66250\n9444 27258\n26638 99012\n15211 52742\n16049 47120\n34745 64747\n40655 86463\n55555 76165\n63923 89518\n9270 26418\n20209 92476\n49676 60160\n8856 97019\n83226 96123\n85727 95961\n66154 76445\n39664 77365\n33147 55568\n49126 51935\n55264 93786\n11780 42862\n31450 33560\n31798 66716\n10615 66893\n26016 45782\n23193 76535\n40551 91414\n27196 76411\n18408 72005\n29462 32166\n30185 34856\n18283 75706\n73388 87478\n17533 68650\n6851 30201\n14891 97507\n32166 84894\n49630 51643\n9432 28419\n32164 60682\n31818 74618\n43895 98116\n67397 82385\n24506 47211\n15128 60831\n31616 75702\n19782 70585\n47666 48379\n65008 85396\n32551 62371\n6675 47232\n26458 69950\n23940 57429\n67948 77310\n45899 95669\n21721 55297\n8270 71572\n79160 95044\n24796 39114\n76731 97290\n18750 40561\n33833 72242\n26807 55810\n57841 95246\n69771 94341\n75552 75620\n27568 96251\n5222 62864\n49090 73351\n69550 99937\n34528 82959\n8609 40150\n17851 28576\n83221 97514\n58468 67055\n41214 83969\n17925 78508\n4456 31763\n31163 63107\n27164 28559\n6250 87843\n51986 62504\n57810 94748\n13270 49537\n76463 84368\n44776 96371\n17754 91023\n89347 94030\n10422 40241\n26453 52848\n26115 32734\n17762 83086\n22203 82534\n16810 60817\n16620 71294\n8460 43730\n22324 41249\n36096 41724\n69945 70406\n35490 64185\n54888 80877\n36648 45835\n48174 52487\n24824 86407\n61503 81709\n43053 91999\n71230 91489\n12636 93886\n36146 40646\n75012 98432\n10564 58588\n30348 44817\n12665 45899\n11963 74402\n52180 60874\n9021 95302\n32844 87344\n38249 42322\n30746 37452\n6629 89204\n31356 47354\n2428 41635\n35070 45967\n30364 75851\n42356 57085\n52031 77390\n23101 70252\n13360 29874\n13857 55815\n67798 88710\n18233 88466\n27624 39752\n39978 79300\n26254 67922\n35002 91797\n37848 46980\n24786 28574\n72161 82276\n12052 82936\n25121 74865\n35524 40345\n14163 97866\n9827 33818\n58888 63390\n74740 90128\n360 60880\n31296 83854\n16669 59943\n39704 81273\n45248 83793\n10457 93842\n1181 35625\n71859 98581\n4411 49895\n8339 49329\n12818 39530\n1350 71583\n12139 26713\n16359 39818\n44413 80518\n38355 42724\n59945 84365\n5010 68274\n38896 87740\n3649 52296\n7534 91279\n5521 5889\n81155 94522\n42409 49427\n16673 34556\n4472 60184\n30713 63425\n46962 54078\n16491 79657\n62670 94393\n45447 75158\n57227 93252\n5971 90873\n30033 49862\n56743 91404\n3573 28036\n26907 76290\n25728 50122\n9647 56258\n20780 59902\n38256 67346\n12226 21812\n3757 10299\n7791 19567\n87995 93129\n6790 27426\n8630 27240\n21306 28210\n32070 45223\n51078 83610\n62951 85200\n90614 98157\n584 51581\n34304 52792\n40116 66481\n35933 80624\n31967 49730\n35337 38433\n5382 57381\n50696 51727\n118 51414\n13654 46376\n47771 53045\n40080 75830\n68177 88697\n3162 94397\n20582 55063\n25812 70832\n49251 87979\n16009 93794\n52099 61211\n26637 30200\n26272 82970\n73083 78943\n21204 28811\n54958 68915\n55439 95956\n63019 95397\n8738 10048\n24697 54259\n7232 18373\n31242 91977\n24201 55607\n8855 93163\n63118 81118\n27640 51145\n64071 92703\n47483 64385\n84708 89428\n51429 84091\n22148 76402\n1233 91329\n24788 55614\n31023 32651\n12459 95874\n51075 95818\n56635 68576\n12192 95932\n6431 87758\n29252 40769\n4027 63942\n7208 54901\n44597 97695\n83964 83978\n18199 77087\n25183 34458\n4908 28642\n23818 38151\n1802 84193\n3792 21726\n22651 88001\n18493 92448\n10676 40473\n94998 99942\n60823 78232\n3357 63517\n4489 72827\n83237 85911\n34963 40626\n24590 49386\n30437 97618\n37855 50771\n25488 55558\n15568 43103\n65500 90918\n10348 40016\n36517 51710\n3836 36304\n58491 85118\n1449 44384\n14979 47193\n95797 99086\n18393 91772\n46087 73015\n38850 55853\n39934 92750\n245 93311\n17598 28269\n34407 96701\n20320 80129\n16539 71878\n43266 82184\n5890 77761\n58941 66936\n16640 71839\n45473 56691\n41711 68524\n82493 98139\n45211 62162\n50800 95881\n54629 97871\n38343 50323\n7521 82339\n8685 46028\n5796 27865\n79851 95030\n1414 79742\n20361 22328\n13009 39988\n4961 39896\n8990 13858\n42325 68117\n50382 64955\n13368 45212\n42034 57687\n202 50859\n64922 93106\n13374 37895\n32316 36928\n43335 96506\n19141 57228\n3135 12640\n67891 75726\n43713 63122\n42281 57244\n8962 9054\n4452 75077\n5966 56662\n24294 50627\n24114 96656\n31417 86221\n29201 58579\n16472 28327\n4037 54668\n813 57121\n32719 70244\n41097 67374\n7745 45553\n17868 87689\n40338 48480\n7255 17445\n30098 77984\n19155 49559\n48874 77177\n9707 35768\n33167 67956\n33015 60250\n70690 99702\n72231 82127\n43977 89864\n59256 84407\n76620 98790\n25662 51757\n46260 92516\n55201 70478\n46125 48417\n43339 68130\n31350 61398\n48451 86728\n62536 84434\n15569 41462\n21893 52705\n15811 22724\n21388 70902\n10699 58725\n1824 66761\n41999 84220\n1331 83976\n5653 29958\n38356 94305\n55185 61816\n69547 93885\n17745 56708\n25412 77353\n51035 92653\n13580 95681\n22949 34104\n48586 80438\n34411 71361\n60714 62454\n10613 11679\n7133 46417\n16432 32797\n43361 73655\n36021 60732\n40631 56607\n5913 37229\n29821 39107\n28154 82023\n21802 87075\n33200 38179\n40452 58851\n24946 29442\n26092 72435\n32470 40168\n38954 61558\n55842 92943\n42812 96637\n9910 62500\n24448 91426\n13686 36375\n25414 83706\n45273 48402\n52482 77474\n59494 78003\n4341 73116\n61319 95109\n10971 27786\n27600 85420\n39251 47327\n13351 32445\n13721 45218\n48259 65289\n95 84160\n67379 99852\n73743 88454\n70739 99739\n1894 97435\n2826 30652\n10699 80541\n26097 86074\n64800 84528\n74606 90863\n51854 78926\n26597 29499\n3767 73606\n71528 81065\n57758 78075\n16686 54376\n69911 71018\n4153 15694\n15891 15999\n39987 48803\n40982 61943\n26210 37915\n44951 89589\n90820 94940\n19280 50085\n36916 90110\n57751 78769\n13042 46630\n33355 69642\n4978 78341\n6576 8743\n62594 84122\n60312 66802\n46145 67761\n22326 28735\n57094 59663\n31540 46618\n12245 59115\n6114 55069\n1142 93996\n34925 97849\n67779 77077\n11713 36544\n68535 88134\n8923 66671\n61753 75284\n46182 62924\n32396 50830\n51548 99518\n35946 80458\n52130 84191\n26649 42899\n48110 62087\n18296 55339\n9918 54574\n12616 56047\n66373 68066\n34363 42896\n53705 55620\n67986 76250\n77280 90324\n24797 80953\n978 91526\n30930 90472\n43154 71819\n45815 61846\n6220 80166\n44150 49202\n73545 74502\n17621 91656\n32878 84222\n5109 93897\n13523 89529\n11095 70144\n1158 50129\n50762 73998\n5466 88812\n66067 97142\n16003 58915\n64875 80163\n5969 90429\n5468 72171\n11115 19899\n3921 54241\n13953 36272\n15288 61387\n23202 52321\n3119 29689\n18241 27121\n9226 36966\n38105 43195\n9388 34701\n26396 47705\n23654 75921\n57338 57833\n12313 20145\n85502 99119\n36220 93801\n58457 95764\n27585 81159\n55981 81883\n52362 68766\n6172 49551\n61570 71051\n8859 25636\n14989 31906\n5185 15673\n44728 86821\n11767 36981\n69195 89017\n2488 8418\n22887 41748\n63586 87135\n76934 97364\n12536 60218\n1341 10374\n12003 36037\n4834 69209\n33843 60865\n64814 90090\n84812 98637\n42558 93957\n53197 87711\n4991 26489\n35531 63257\n64651 66985\n24906 34670\n15062 85208\n65393 83333\n8506 30050\n14260 35972\n73691 89376\n18575 78581\n39784 94635\n18257 83136\n50840 83271\n24347 33599\n29803 88150\n53438 55625\n7822 28329\n78192 84233\n53750 73373\n57026 58916\n197 43340\n5488 64313\n20152 28892\n59549 60935\n59869 75569\n44279 92978\n37789 76067\n17283 55639\n38317 85122\n54002 56558\n4415 32689\n12882 89677\n28040 86005\n74155 75347\n49361 56093\n30510 65248\n23875 32639\n15156 63436\n34663 88289\n50119 62475\n16703 49572\n5388 73399\n1912 10583\n23987 74204\n25156 60063\n9569 19958\n34791 49147\n19652 20816\n54498 77468\n7735 98848\n2728 30913\n45888 66421\n84338 91299\n67150 97846\n21638 31483\n18552 36273\n18761 71381\n14531 85876\n30573 97460\n5634 50732\n5631 11134\n10454 35446\n7262 96130\n5694 63527\n5729 96029\n27834 81947\n15215 59787\n30517 36459\n337 93610\n29785 89141\n25217 57248\n96579 97885\n63276 87516\n4727 35772\n37553 60639\n57484 93553\n27346 28352\n62164 81252\n62180 67664\n11967 88367\n80071 88945\n61056 71042\n33223 45514\n54729 91148\n27775 83728\n32298 55571\n20838 71121\n23346 37258\n46313 63535\n53624 82588\n75976 82067\n56715 86977\n15674 34953\n74457 89026\n8521 43574\n66745 78371\n20970 36181\n892 95492\n33812 75574\n46838 98602\n5603 58842\n53870 75607\n45950 82430\n4027 49853\n7470 99063\n58702 73798\n63132 86486\n55426 95645\n58811 76144\n15205 33405\n90064 92207\n29168 71113\n57224 59333\n4247 48652\n2551 44841\n38745 82942\n80613 89285\n24964 49072\n81663 92534\n68284 94678\n36112 80852\n3416 49343\n29118 46478\n4522 29407\n34436 88892\n18317 18782\n36638 67898\n65394 97787\n91984 92904\n67298 81902\n76198 87628\n68078 79985\n14823 16509\n9756 28294\n58852 60373\n24739 37912\n4026 59062\n8788 63789\n13326 47453\n6356 26294\n11880 53794\n26380 83715\n42087 87261\n15190 77177\n89909 99700\n66980 67415\n5750 88571\n19046 41557\n15289 64381\n1979 20440\n72409 84481\n71917 87764\n32814 33804\n19458 37304\n26403 54473\n13821 77777\n50160 76378\n52116 60325\n8927 40164\n19783 48173\n39925 88971\n66421 82208\n20041 96252\n12384 32917\n63972 80493\n3521 85748\n45456 53416\n23907 73505\n41 47754\n44249 72957\n19538 86127\n33356 46989\n10401 24658\n17998 49675\n38273 86321\n34943 88266\n5318 75714\n13715 37594\n31857 56828\n11086 28014\n52202 81545\n343 81094\n5933 32679\n40392 63409\n10227 39366\n53920 96288\n11665 19467\n59627 88593\n13268 76703\n44585 63683\n2562 57025\n76243 86723\n7335 70459\n26999 84535\n52268 60167\n1752 12138\n21354 67778\n27220 74620\n44903 92953\n43988 85360\n48085 83121\n7894 17693\n89999 98010\n89813 90643\n40605 87204\n53656 69070\n45468 94429\n34422 81330\n44206 84962\n12039 87562\n40890 53898\n19561 90465\n4489 9304\n9431 16902\n2458 78075\n38317 59195\n37169 65663\n10620 24023\n40590 43812\n20294 79630\n73538 79132\n54894 63766\n2814 81500\n52287 63175\n47233 92922\n36982 79289\n50674 71300\n60871 65057\n1082 66414\n16206 34647\n32573 90125\n17569 37376\n9858 96837\n30229 47931\n12144 27429\n27425 56386\n13223 45611\n38164 84514\n26583 91152\n8804 29943\n10235 67947\n73169 94319\n46906 76010\n5052 63415\n68502 69007\n8595 57224\n10914 70553\n7006 87431\n8717 68263\n37358 67818\n14159 76685\n25043 63835\n14045 95129\n28556 70328\n10397 62690\n29443 50827\n55287 83659\n89731 96412\n45070 55411\n7809 39212\n45355 94686\n78576 87268\n72970 94264\n23124 81802\n67005 71377\n32474 67197\n43009 71863\n56980 67569\n4718 18349\n62561 69685\n11435 19903\n16471 99509\n5499 23656\n38187 60725\n40177 46202\n7221 17924\n61023 61987\n18977 33913\n62280 68000\n22283 49045\n38545 46433\n46761 51027\n79881 83171\n48401 48573\n19403 80841\n77376 85015\n7369 71011\n9340 85419\n13667 63877\n52391 73575\n33459 69638\n3385 82016\n29306 73933\n33571 44620\n49949 55836\n9459 24601\n14977 54521\n60114 86827\n50208 71785\n13332 90787\n41406 69689\n22170 93343\n69686 82968\n12646 93723\n2624 95699\n26655 35532\n59069 70402\n67431 85665\n10718 86155\n2885 13193\n73387 78225\n11601 46142\n33532 45803\n32042 90540\n57148 58723\n44117 46253\n14435 59226\n69688 74927\n1574 60565\n45954 98840\n69622 97847\n33381 92182\n58970 83201\n10601 82789\n58697 89170\n89421 92092\n42044 93352\n26119 33131\n6689 17465\n51892 63699\n19874 61575\n14406 15876\n13565 49869\n6582 21689\n33516 96983\n54024 73430\n48870 71559\n85837 98042\n24352 80799\n7769 41581\n89441 90538\n22541 93349\n38135 52541\n3300 29849\n67641 97588\n16540 31718\n14540 51786\n65048 73562\n30108 71763\n65540 89992\n55365 88343\n66526 94557\n29015 91776\n10333 74538\n58765 89000\n3552 58552\n7348 15733\n41891 75061\n45365 98677\n40504 54220\n26311 45404\n10076 46990\n10851 57157\n54180 72642\n35253 95596\n28861 81522\n83655 88898\n45068 70717\n44852 75827\n18591 32671\n41498 66473\n14311 92703\n10845 46257\n30505 82778\n73541 91670\n52801 84544\n34350 76678\n9918 44804\n1265 77735\n74481 93836\n1100 97746\n49923 57200\n46532 86760\n68352 85625\n16690 71771\n323 25791\n15116 91775\n53239 59274\n5937 11987\n23953 65351\n2569 23825\n89910 91962\n17479 63072\n72403 87908\n34718 42438\n44490 93500\n16999 76528\n42042 70866\n54307 65855\n8165 41961\n30175 34116\n8745 97928\n76620 99762\n2721 90881\n52235 76235\n936 16296\n13781 23137\n70971 80825\n30734 61153\n50456 65539\n26704 78510\n16070 43196\n18690 37298\n63711 84161\n9101 59695\n36643 39102\n71393 88006\n88202 92730\n39365 89089\n21249 25579\n37198 91544\n11245 72606\n7590 91831\n51934 67990\n11348 50613\n30413 82087\n66337 78895\n88452 91440\n2424 7943\n13882 63653\n38265 50467\n20387 96833\n6111 62982\n39998 50721\n77888 90934\n7994 18437\n22490 48719\n30942 46279\n64873 81214\n46160 85156\n53393 96663\n12349 47465\n29003 36276\n40522 61240\n17735 44172\n9063 24769\n7458 28237\n53322 99271\n24923 46261\n34421 50569\n27549 75513\n8822 77159\n38808 40624\n5142 21607\n40672 43748\n21595 90110\n14014 68249\n52008 62529\n40780 41723\n49834 50096\n13971 27626\n37887 83055\n85209 97465\n3128 28953\n63791 73246\n54102 73254\n65421 73018\n52096 87399\n38154 85301\n22435 93390\n7040 70156\n38649 66153\n40040 58087\n11251 11987\n57182 76506\n24969 91826\n28090 36130\n35400 72616\n9013 67574\n30760 87229\n66578 98591\n8275 78921\n16652 96477\n3168 29595\n47872 75693\n31350 38023\n11851 76021\n61476 95034\n338 81864\n42850 92154\n37768 66795\n57146 87361\n49067 53687\n74760 75267\n64127 98386\n24662 54765\n33072 45856\n60970 68311\n15590 41979\n72204 72977\n5718 18316\n38050 47100\n2028 90213\n4456 49038\n18682 30301\n40090 64634\n10915 99537\n72461 80411\n48335 88057\n44183 87053\n6187 33330\n56576 64959\n4514 83392\n59203 99567\n13275 37258\n32705 44871\n12020 33529\n68636 98099\n20674 48944\n45034 92483\n50663 82809\n32922 74913\n15968 47678\n4320 68290\n12371 58347\n11057 17784\n22583 41728\n24209 25888\n14902 24853\n3369 61119\n56528 82524\n90319 93308\n26251 48885\n48415 83283\n37189 90266\n18215 76347\n84836 96848\n62919 88281\n46559 69112\n25608 45502\n30216 35322\n29647 85589\n18556 20053\n72374 78390\n62660 67642\n22402 79521\n4454 64260\n30635 86941\n18690 54680\n38603 50181\n1086 20864\n28929 30820\n558 90162\n15169 47267\n21975 96364\n27205 47843\n30740 39026\n21654 90731\n9389 42065\n6065 36975\n80568 82188\n31257 82314\n71338 74996\n24706 38641\n34232 96610\n70328 74601\n55103 95918\n47128 77603\n40034 81749\n49408 95534\n66863 86003\n29779 82955\n29173 59537\n8202 28439\n13519 50921\n34549 40767\n7897 83166\n42726 87497\n28295 60245\n5138 52437\n7415 59762\n20347 96008\n32149 85664\n24624 62763\n7033 13941\n656 79268\n35434 61311\n11058 67968\n72872 88490\n64826 99402\n44632 89873\n11340 86248\n46903 84997\n13100 31963\n27347 74554\n48885 50042\n26331 81386\n1666 41803\n30483 45433\n54917 56133\n15717 94587\n10510 58200\n9388 65301\n40485 69939\n37187 59055\n84396 92038\n464 45559\n32449 97279\n12468 67226\n15307 88237\n13892 48770\n19300 36533\n7530 98828\n68355 72466\n77528 81635\n14787 19011\n36137 64826\n37225 82204\n30127 35923\n12561 13960\n51265 98669\n3310 55701\n16871 43957\n30453 88419\n5441 74689\n77688 91845\n36331 53368\n47214 85983\n1707 16456\n29553 79076\n93588 97786\n20897 90143\n57527 71032\n19535 79980\n6379 37292\n33834 90696\n30508 44253\n57171 64046\n18310 33537\n86852 95440\n22104 60332\n14135 28821\n26107 57428\n26258 38257\n14997 77678\n26462 91588\n7440 71236\n19229 19360\n54635 83483\n32391 86043\n50808 91581\n3929 94511\n20878 21520\n9656 99080\n5760 85829\n60474 96020\n78338 87144\n4252 88469\n63414 74326\n75713 92588\n6866 86166\n50977 93940\n44361 69808\n7656 27272\n39006 95688\n66548 78336\n36033 82672\n47873 79736\n80424 87294\n56304 86408\n54298 69404\n53154 69687\n40008 50034\n46785 97066\n49919 73907\n44926 65062\n31948 83082\n38302 81945\n17886 39002\n5372 54902\n49436 74590\n1605 12571\n24240 78069\n53020 64723\n2862 49716\n15773 86848\n49818 93460\n38117 95643\n58306 86202\n40371 58788\n18422 44957\n31163 35624\n76594 86958\n5288 11429\n66990 78028\n16446 26135\n47137 47372\n49797 93014\n9300 45492\n89854 97889\n30122 72878\n49900 78554\n25586 67432\n53132 89545\n12624 32720\n34355 75430\n38068 99104\n17808 48827\n65916 71731\n10985 77206\n41985 69887\n92035 97621\n46633 63500\n33649 39053\n641 74954\n24381 38435\n38391 73638\n6535 93953\n23517 99280\n16161 16899\n38317 64387\n80670 91599\n78341 83850\n61741 70575\n10458 95730\n34522 56577\n2032 14676\n15648 97433\n11686 18548\n48359 97663\n9886 51889\n38583 99779\n4067 79625\n54228 93200\n84841 89607\n3854 65344\n43919 74840\n50744 81042\n43676 97935\n37384 84986\n16934 44142\n45471 71132\n17715 87916\n43974 73710\n17921 19076\n31070 56238\n50684 94704\n70898 83630\n52733 94420\n8591 10721\n1862 16417\n15012 85884\n38824 66442\n14259 54647\n61126 89434\n6944 90982\n15168 58635\n46834 55185\n30767 75222\n69585 98104\n2779 66052\n49751 93222\n32876 51793\n18149 65012\n1931 60880\n86525 86604\n11118 91993\n29649 31294\n35583 79333\n22982 34901\n3152 77514\n9365 16061\n68054 77674\n66547 87604\n37678 46959\n22281 49801\n42795 74911\n19124 97922\n53919 99865\n2475 94342\n17468 94209\n25187 44268\n76789 86969\n22649 38896\n15965 74406\n43495 73746\n50518 91039\n27287 70006\n49131 67352\n30236 56150\n30464 96838\n6759 72944\n6072 45438\n17172 88436\n67219 72586\n18656 23923\n26848 45329\n69487 96809\n7189 88477\n56004 62636\n19190 70991\n6448 27537\n39837 96504\n73943 84592\n72872 99235\n46937 89061\n76688 98478\n73660 94894\n4157 43278\n40149 76267\n10196 56504\n46229 50397\n50868 65134\n20000 85012\n76489 97221\n6280 96111\n28154 37449\n23997 37655\n7594 30499\n43311 92022\n15069 26505\n29164 84945\n2752 99504\n51608 78940\n9019 9635\n8165 33565\n82963 89547\n7371 99650\n3469 27267\n21566 93883\n29192 44445\n31086 63859\n53287 60631\n34370 69325\n29417 41867\n47404 70238\n55600 63568\n14978 98250\n331 75432\n65865 83242\n2197 92355\n60360 98925\n2270 6870\n79697 80471\n14398 19160\n52745 72101\n45396 51164\n20385 60642\n35725 59472\n19310 45015\n47894 65542\n7470 19512\n10262 50083\n64486 65238\n20047 76660\n23092 67846\n86921 93658\n8727 16033\n74024 84596\n17611 35073\n25752 66138\n2449 96461\n7260 11675\n32425 79117\n45627 74133\n72859 81695\n18432 31279\n27322 72929\n77030 84602\n36045 81961\n4032 24293\n41261 67900\n56363 82792\n47101 60693\n24256 51277\n20880 47257\n16937 93545\n39648 96061\n23331 42661\n72976 99440\n59620 82248\n1215 1705\n7528 97912\n16865 59735\n23180 31672\n33445 44739\n26299 41770\n43653 82232\n30732 86681\n5216 86007\n58238 96015\n7088 77665\n46446 93522\n25797 46588\n20532 68833\n50960 65486\n36776 50772\n44380 83189\n46663 74375\n2952 88752\n12663 58079\n50002 57720\n43379 96649\n60902 75437\n55671 60661\n6549 74179\n61507 77429\n25324 56358\n19004 45221\n22143 71366\n5782 9403\n2730 98522\n48658 70878\n6656 69311\n27381 50958\n15485 65883\n7669 23860\n391 7823\n17819 51224\n35026 59692\n80818 88853\n50869 95697\n41640 54445\n34715 68715\n37758 77419\n17031 44940\n52984 73777\n78422 81029\n23591 79607\n17541 18335\n47533 79640\n46593 78460\n35082 36401\n47997 68670\n48563 65629\n9732 30312\n8460 72125\n13832 70549\n18816 40602\n14348 26667\n53773 77722\n80110 86963\n24566 63156\n46996 76206\n21923 65211\n43029 86754\n824 98872\n73777 76794\n18900 45461\n13501 77985\n46647 86323\n83675 88025\n52121 92320\n25745 84669\n44052 67752\n11578 87261\n30747 93094\n29327 60030\n26590 44038\n7427 45970\n30154 75236\n28832 71690\n7938 14466\n13 89749\n13140 54077\n24641 78674\n34532 94794\n8044 34886\n77787 77944\n17473 91606\n60267 78000\n34080 37824\n44887 97270\n62545 92708\n36915 64326\n18694 25669\n36899 67303\n56302 59133\n18764 73441\n45219 73943\n26844 49847\n29730 94836\n80335 87346\n44911 48185\n5592 65942\n62311 96657\n19791 93241\n8122 51975\n72193 74682\n44698 98032\n74456 82153\n7963 65829\n12374 69256\n29634 31822\n3754 95632\n12254 64988\n16466 32834\n51439 80121\n51569 60650\n5240 15258\n20372 59134\n17534 50442\n15269 92113\n11159 56173\n30987 76793\n30500 78152\n35566 96789\n11006 75890\n72328 91512\n43830 71735\n23664 54188\n5837 67360\n95979 98682\n28577 92020\n56686 79704\n17880 49750\n11463 32299\n36381 46392\n44980 86086\n30014 54033\n3095 89922\n34336 78168\n6114 58576\n22249 67862\n10391 39593\n60234 80869\n22762 97140\n17030 52674\n43061 54030\n21283 35865\n55576 84489\n80902 88370\n42625 84805\n7408 66782\n3025 38013\n3228 74883\n64082 66985\n43181 76014\n67737 78573\n16387 69359\n8318 69432\n61608 73666\n58266 67854\n72867 93248\n56979 72738\n16342 19330\n61291 74616\n21760 70259\n983 99195\n22110 40357\n12226 56047\n68959 83125\n82215 90453\n36915 38614\n76328 94970\n41983 71625\n8448 99300\n12403 75146\n32609 73757\n42568 45848\n46338 64860\n67993 91632\n63781 65676\n18092 41554\n67461 88306\n4397 55059\n24812 49084\n25307 90009\n92071 92440\n6150 15358\n21755 61593\n94580 98368\n73124 97149\n44557 56536\n10361 33136\n28167 69477\n28181 44188\n2083 14387\n5216 12133\n36956 60398\n17197 59338\n75056 90923\n58010 61813\n16433 81716\n71614 78825\n50211 55097\n23989 27883\n7415 58174\n9948 42599\n25261 43149\n68359 93727\n43370 81908\n14836 74279\n29597 99543\n57503 98045\n4109 62236\n58584 75466\n42893 77721\n39537 80265\n31508 97036\n358 34819\n52631 66088\n59843 81899\n13258 44465\n52287 99194\n54787 91179\n43418 68807\n69946 76921\n11000 70003\n18162 56612\n10611 53405\n59917 79501\n41640 67447\n54411 62531\n93508 94080\n5657 38160\n76662 98988\n48590 83551\n9143 35319\n87086 97107\n13828 41709\n52219 56256\n9758 12994\n28381 86797\n57364 71964\n18523 77510\n23846 26211\n21384 49666\n76892 82919\n57376 65263\n25922 36267\n65425 99901\n84428 97818\n9902 15477\n65715 75659\n60050 85785\n16315 72669\n33055 93453\n49477 50905\n18086 81235\n34867 46796\n5074 42791\n33210 89055\n31265 56442\n57645 84838\n25270 58837\n66938 76869\n49570 99176\n7669 75005\n71563 83298\n3797 15756\n48878 76230\n44835 84905\n11844 93395\n55757 88461\n89359 91822\n5473 11908\n231 45494\n36114 83646\n3395 68162\n53338 73629\n56490 57043\n38302 80239\n36775 79648\n49537 74198\n47144 55792\n25665 37411\n26072 64429\n50443 62060\n10197 66098\n25939 83929\n66364 91456\n20032 97327\n51524 66867\n19300 46372\n8734 91784\n75457 99026\n44080 53733\n16404 98662\n16099 19605\n49803 93369\n24664 85608\n7423 98973\n24430 72887\n43786 91583\n4291 52276\n47919 89323\n81591 98927\n12749 92813\n30135 37970\n50250 88146\n3071 4182\n22959 88528\n9546 77806\n140 11713\n28658 81344\n29389 35758\n24785 60292\n6763 83425\n33880 34322\n46662 86281\n49433 90281\n23421 33853\n27484 87379\n21172 50082\n37364 90908\n46218 47117\n48084 75322\n40472 73047\n12669 43830\n1594 23879\n38434 90570\n5036 7130\n4257 80901\n27811 53057\n2495 19934\n22265 84806\n26617 65911\n710 69570\n14837 82185\n13330 18090\n7267 96455\n8896 83365\n5437 48521\n6057 28819\n53821 73088\n54173 54934\n73821 74179\n12725 51799\n81394 87595\n67626 84447\n39570 51873\n21698 32368\n40173 92350\n15617 50589\n51804 52028\n12950 46588\n22205 65851\n61990 81290\n24728 92011\n44822 61543\n12307 68450\n64148 73444\n65124 87631\n18700 66890\n11589 84123\n933 63820\n61631 90808\n75492 84744\n59033 72296\n33986 89754\n29511 36295\n81286 88399\n21757 54276\n79858 83827\n30130 30624\n28408 62924\n28000 47306\n9218 20925\n6770 19836\n13464 45707\n18747 50716\n1070 74151\n56092 97199\n6387 35708\n39723 82367\n51813 67252\n19719 78655\n62470 66041\n14814 37845\n2178 36063\n597 7133\n13058 99291\n9343 56672\n47396 51121\n41561 93728\n18930 76570\n10799 81715\n7241 84933\n60866 89553\n8578 89220\n60054 70476\n49541 95790\n15935 89151\n16833 24504\n26508 49888\n2257 82780\n570 89360\n11481 54492\n37007 72214\n6836 25047\n58956 63814\n86507 94294\n26370 88765\n24184 27934\n33616 62798\n17995 47139\n10401 46390\n20858 44435\n66478 68820\n62405 95299\n80327 94532\n66866 99768\n796 53926\n32812 95823\n87535 94577\n75377 84282\n23233 85418\n16889 54021\n55833 74892\n65488 71159\n1462 64337\n37896 66916\n1447 47951\n71766 77646\n66812 90237\n23501 35962\n55003 63427\n84420 84709\n42430 45663\n41771 86581\n14255 46725\n26429 75052\n33205 40985\n37610 93741\n51674 87367\n35996 51902\n7111 81677\n43024 48751\n40822 52921\n30100 67381\n33240 85447\n54932 81868\n44408 76247\n30919 96362\n48252 56158\n5697 87004\n49688 77753\n54135 59141\n5386 72011\n21585 83554\n59275 85051\n39065 45835\n42456 69439\n44472 50038\n56030 78469\n70632 95683\n16136 89505\n31534 52036\n16287 55033\n55114 79409\n12982 62827\n18515 92221\n26118 82195\n33893 53923\n39147 97908\n29833 61919\n19676 73115\n1670 94720\n61044 84660\n50747 58503\n49887 82952\n1411 70824\n29991 61643\n1239 12373\n1014 8244\n85863 94062\n1736 47519\n12361 16038\n38989 96178\n52696 91067\n58845 74471\n48148 65812\n30502 50550\n5058 15130\n60753 77010\n65983 67893\n858 81664\n25722 62718\n7325 32762\n61924 81857\n4940 59482\n74898 76899\n16405 81199\n58016 89157\n65876 85293\n20876 41264\n24484 57074\n40956 94100\n29119 58693\n17070 60040\n42405 67513\n30825 68128\n10251 45930\n39178 77054\n2780 36311\n47939 77356\n48951 87618\n6759 47874\n78781 80757\n4946 97934\n23440 58198\n41123 82810\n26113 28227\n17001 27248\n2199 29694\n81275 99259\n26356 49357\n13485 39591\n84375 90413\n64975 84953\n7999 92431\n32226 87683\n50623 55280\n30716 38582\n90464 98622\n3843 54695\n22175 40768\n37791 94594\n98340 98441\n1494 47099\n30739 62926\n74122 81996\n10779 30930\n30124 81637\n81386 82594\n18081 27711\n5725 90342\n30961 56022\n3687 71112\n26661 99895\n84919 94307\n68331 88722\n37899 44245\n16839 31076\n38056 91235\n50164 92695\n8713 78844\n32 31961\n44018 55939\n79263 82704\n13807 74435\n19817 39248\n25879 67308\n12460 96015\n31800 33671\n82795 93820\n70974 75789\n40191 93562\n4044 7600\n10954 81129\n74141 83014\n14721 37581\n4249 72228\n52124 76850\n38349 51124\n41358 93270\n53905 95748\n28589 29494\n13052 61666\n39776 94099\n29762 91657\n42817 87993\n36481 46042\n8654 16079\n24353 28405\n59621 79334\n40201 82824\n54210 80918\n13165 25844\n32042 56840\n3192 23847\n26062 87094\n39140 64678\n37608 62409\n68370 76769\n36878 44961\n26749 97101\n9476 89279\n12123 40157\n51740 80724\n5500 38073\n68580 99993\n17937 38494\n78184 94545\n61273 68191\n35883 60216\n89716 95366\n98184 98628\n8681 91670\n48460 63377\n33506 54001\n6878 88649\n25405 82953\n45252 71092\n37658 88542\n69386 87756\n52599 97656\n15861 90722\n6607 84972\n54086 85864\n50451 90290\n61385 92728\n50560 59369\n70457 98635\n9962 57172\n20508 87272\n10292 56216\n3356 11162\n59678 63154\n21437 65058\n54772 66125\n2578 18542\n6477 55774\n83817 86548\n75138 94281\n76865 90072\n23919 96762\n14174 91058\n2144 51281\n159 40793\n79673 95499\n25515 89382\n43183 59274\n28719 35870\n11826 66029\n57914 89796\n62015 72371\n51782 85412\n30895 66325\n34043 45320\n17941 25868\n31782 73325\n20266 48716\n67734 85253\n24268 71976\n41070 42311\n68791 89663\n5256 82453\n21956 22757\n38898 96766\n80750 82138\n9495 13481\n25767 55268\n67292 87385\n25251 78936\n41349 46917\n11291 69341\n84615 93840\n20942 34606\n7104 50489\n68025 89192\n76425 78530\n45479 54175\n59371 72106\n19431 52295\n2187 28392\n63566 89912\n1238 9099\n20582 88378\n20815 54574\n29873 66683\n8274 93128\n39089 67886\n8332 58705\n17275 56183\n7357 8739\n36255 78549\n41334 93320\n3942 42764\n18924 32253\n42666 49274\n17278 64784\n70672 88793\n477 73210\n33119 87136\n33678 51051\n16589 17764\n6538 68651\n33241 43833\n3243 20977\n40148 58373\n5697 43469\n25972 30947\n45462 94014\n41567 46266\n56603 59046\n63014 65768\n72939 94682\n85087 93424\n30315 99470\n4215 16852\n28956 89753\n25576 83613\n27325 30514\n75023 89003\n31713 63321\n33639 57758\n29521 36355\n33083 93607\n3180 69864\n10422 57166\n16839 21217\n30571 77008\n65948 97950\n50452 69175\n23864 45907\n38620 66772\n50710 85574\n70258 99708\n18423 27072\n39255 53037\n20263 60727\n68535 73011\n36008 74555\n54977 58181\n52294 61880\n81658 82566\n5594 98197\n41985 68199\n13912 57600\n56674 64981\n62115 63416\n5830 34527\n45408 51294\n49780 54494\n45918 92007\n60682 87216\n313 41379\n15311 67105\n10230 62048\n55270 84033\n8303 59440\n69720 92461\n3678 25292\n17862 95299\n57658 60994\n53319 91174\n5271 8961\n17252 75273\n21310 93311\n41966 48231\n24114 84361\n48568 89471\n19011 29558\n21299 43304\n23154 72263\n43539 57168\n19551 50144\n17228 41238\n28624 81603\n18097 93961\n38385 60447\n12464 15578\n4387 53893\n39117 66707\n15294 52007\n55370 56083\n43825 48123\n28258 59694\n19014 34713\n8274 29019\n66787 98409\n19324 93355\n1559 73044\n36804 42154\n34082 44848\n64005 97034\n33009 70893\n12601 87381\n39717 79447\n94650 95602\n18031 72037\n1957 16389\n13426 56430\n24484 41063\n14334 31351\n18481 24385\n11795 77974\n67935 79190\n17162 94160\n9098 38942\n6601 26932\n8527 88079\n56707 75570\n83767 97163\n28949 76899\n11927 34931\n32181 57872\n41609 99480\n79885 97438\n9205 58013\n420 73942\n14434 98894\n62021 73888\n828 21709\n44238 78368\n4598 95814\n72683 79706\n60417 74424\n52831 55163\n4385 7494\n28217 85442\n32450 33618\n70199 95336\n9002 80149\n7639 56933\n38095 99931\n25602 93700\n679 11193\n98828 99086\n43726 88361\n41361 72524\n9258 15546\n19828 24993\n25929 55055\n510 80972\n63299 73273\n35316 68340\n33689 75095\n2823 10536\n14175 99666\n28724 61876\n21469 26042\n5213 28245\n46599 63213\n64880 84290\n31672 32204\n50310 83961\n9269 56036\n7427 92559\n1182 99603\n32061 43639\n8704 39577\n14876 20868\n16106 78649\n1071 52378\n27634 89592\n21099 91902\n79778 79903\n50953 88621\n13123 41809\n50755 99794\n43881 80975\n19442 87983\n64336 77585\n30592 87846\n1764 20526\n2431 81654\n56641 92933\n80817 88558\n60909 96996\n43948 89529\n68934 77455\n4004 43186\n42805 86433\n30880 69002\n25517 30596\n65415 69020\n16220 68322\n7185 22742\n32659 33028\n35223 81571\n36708 56875\n29065 87717\n79326 84809\n35767 80272\n17917 87755\n3474 56779\n866 14943\n14678 27993\n28637 89135\n44297 80150\n77286 77644\n10777 43099\n51184 85591\n12530 44230\n3484 62920\n31113 51951\n6319 94332\n65880 88392\n30973 39977\n12519 70596\n18895 57869\n33449 58169\n38072 38438\n21741 44459\n10230 48187\n31791 97103\n23080 42128\n26558 32435\n1482 92332\n6462 91084\n76609 88324\n32484 76636\n57634 67597\n38853 93281\n43278 74238\n21713 62835\n46750 62890\n38287 93347\n89869 96029\n49420 89821\n39786 40735\n5216 96599\n29731 98124\n70012 94165\n26169 90419\n32642 35285\n52615 69765\n2590 5681\n60722 87339\n28086 47546\n60786 63298\n14184 93413\n38195 89726\n34734 44182\n17813 90169\n27530 89352\n1085 4392\n19196 99430\n340 82542\n155 8314\n48439 48860\n30263 84933\n5031 78448\n3739 61593\n40459 42088\n4872 25149\n6621 19572\n41365 75109\n7313 16858\n32232 46564\n68373 74027\n39991 48109\n4233 83836\n65290 84682\n65866 79846\n60113 88250\n34034 64210\n25148 68497\n23689 30961\n17437 95118\n24703 40432\n29298 47549\n28832 99874\n34610 54028\n44024 88571\n4367 78452\n56629 70624\n22416 82510\n79051 84486\n26461 61531\n13763 91566\n9414 31184\n70809 76063\n20545 76464\n17248 78529\n37986 51354\n26133 96690\n26910 89415\n31355 46511\n44470 93822\n63637 98989\n58115 99580\n18226 62457\n3026 24733\n32929 98090\n20931 75680\n10132 24519\n11823 61600\n10297 85319\n35180 61834\n44649 87442\n50172 70688\n13635 76842\n3563 88533\n36690 52941\n1030 55648\n41296 64372\n7091 72800\n47655 52217\n15917 21983\n55601 84066\n21755 34342\n10446 56462\n32351 41857\n39672 87280\n66231 70342\n42768 96508\n49536 66649\n10870 57355\n35244 75746\n9535 58783\n37302 43789\n37083 81978\n40727 86856\n47221 85207\n77047 83169\n30532 58815\n32657 67872\n20383 80014\n15229 59125\n56987 57208\n12092 28055\n52446 86986\n19451 96402\n14746 23736\n14037 84140\n11279 86306\n26644 71478\n15130 83755\n67878 75261\n54442 65992\n65068 88816\n94691 99305\n32042 55445\n11354 26518\n47069 64989\n32376 51944\n45723 95970\n50233 90364\n44305 75130\n22486 33823\n48916 83554\n24887 81505\n3358 99269\n3954 87305\n5850 38759\n9266 18389\n65476 91466\n1225 2195\n53375 94273\n20178 45282\n12515 17218\n15338 23730\n31963 93399\n63188 68078\n40389 43870\n9314 10960\n27511 28584\n26791 81021\n58699 80941\n21846 59743\n53434 55950\n19011 69350\n6188 96631\n66864 67573\n17641 26049\n55273 57155\n64086 97030\n23815 37673\n38760 72185\n70304 94683\n20489 97573\n91949 95767\n17167 71682\n12347 13015\n32569 55794\n16291 24405\n52505 70070\n74385 98413\n23001 37346\n989 93491\n67302 86080\n26464 99847\n63859 79617\n19011 80570\n22651 30157\n72961 99509\n43093 48938\n66518 90854\n6198 32357\n33346 87839\n46229 53792\n34021 76189\n21367 35388\n11247 53557\n7810 27847\n52806 71007\n50340 76925\n4259 96877\n40716 94579\n32051 80313\n35521 84558\n11619 20664\n56184 76065\n61709 71608\n37779 50518\n84456 97817\n32934 78052\n12874 72590\n7188 10724\n21890 27097\n47285 80777\n13872 93770\n19220 65151\n12727 69262\n47122 79084\n16183 50249\n241 56204\n21512 36000\n35444 79570\n45950 61265\n33854 34856\n999 83616\n2995 52918\n25153 34985\n6290 79269\n24696 70040\n20404 57279\n7717 93339\n28984 58809\n65641 98190\n11676 99192\n21764 87104\n18355 61504\n37595 89113\n2446 98206\n26525 44309\n39816 82735\n61284 76003\n4880 59484\n43447 74246\n2138 28556\n4470 71495\n29547 80934\n40274 72218\n15140 57284\n38852 98560\n1092 76769\n14338 66164\n20667 69564\n37361 56173\n27572 53188\n24939 89726\n58047 83874\n13045 56436\n72738 97912\n18609 68981\n61540 63501\n21897 29794\n13231 83571\n15239 27211\n6423 85245\n39063 63025\n26329 96494\n3762 23379\n27174 97326\n4445 17878\n30289 30705\n68833 97914\n59862 94718\n25982 84777\n14900 90492\n19731 19781\n38217 59676\n35943 65927\n48405 60559\n35651 73330\n11429 32261\n15312 39417\n40579 44920\n24367 58531\n51754 79874\n91852 93622\n83867 97328\n30480 98292\n60365 60500\n80981 88110\n21829 84133\n48265 88327\n22790 61733\n66581 74162\n20838 68800\n23923 48028\n46540 82679\n58831 60145\n54068 59249\n26009 57167\n12365 67120\n52468 64861\n35765 69830\n29882 97871\n40633 43430\n17137 41362\n37102 97555\n20373 33519\n38264 96296\n39903 53891\n41501 89091\n14930 95974\n5726 29640\n49542 67651\n33167 84983\n58904 66719\n11940 63309\n9341 43096\n96306 96405\n20210 22107\n70826 99328\n23633 86341\n2640 53029\n72025 86804\n68101 81205\n6955 47937\n43186 50666\n87324 92262\n18247 29040\n23306 96206\n61153 98073\n59941 63401\n15716 59980\n70475 99646\n7888 85205\n44400 76384\n22715 94402\n9758 52687\n8815 62946\n27062 96897\n49366 93240\n34813 68185\n32705 93657\n54069 71741\n59363 74736\n28506 48972\n16573 66028\n65725 76435\n72234 84944\n28281 64705\n40731 77275\n11654 75194\n9070 58606\n48053 72727\n69948 96759\n18618 91244\n87522 96019\n7941 94908\n44550 55745\n48327 90689\n57818 97698\n27798 91728\n55208 88895\n6281 84080\n19007 40023\n16614 65819\n8801 37311\n869 53161\n14467 73942\n54102 61482\n69802 70021\n24185 85306\n3865 5364\n2591 96906\n7738 49399\n51400 99683\n62370 80434\n17417 21709\n83155 89384\n30268 45353\n15456 21658\n83403 98827\n26906 40155\n22790 49532\n57680 76289\n18893 23427\n15719 43959\n18002 78340\n32410 75733\n76584 80096\n18310 23494\n33823 60461\n55508 73357\n16389 66223\n44567 91081\n19000 23645\n67943 71822\n57299 79347\n27488 57040\n58816 59401\n3503 71273\n66024 98039\n45767 71464\n27237 87401\n1820 60914\n83091 86337\n74157 88220\n25244 49980\n58961 76106\n56842 70528\n5522 34360\n6550 24850\n36248 58914\n16000 26550\n21444 63962\n3223 27513\n47992 74665\n38353 40672\n32049 33978\n33154 84111\n5823 61345\n62845 90095\n78754 89767\n38172 55785\n17552 68648\n6049 93055\n46366 78088\n47075 84799\n14435 87593\n48294 59803\n75906 80411\n35975 53580\n46091 67451\n42275 47140\n68094 76345\n28759 84846\n4366 56577\n20977 93050\n2489 23682\n19346 36449\n1151 49759\n24143 47527\n6694 12868\n39600 44389\n677 17064\n7054 83922\n13793 93204\n5299 21786\n18324 55062\n77719 85984\n31713 43383\n67567 74868\n39219 41328\n73269 88271\n56823 87547\n32000 94813\n22121 45305\n2967 86197\n96028 96671\n22051 33656\n54384 68769\n82374 94433\n10665 24837\n10191 82590\n42604 52512\n18052 67110\n19729 84751\n14645 75609\n56917 86638\n6311 48585\n18066 80969\n53331 57490\n6364 14077\n35339 71573\n36434 66252\n43427 85570\n5099 36787\n34899 41660\n332 45258\n20878 82143\n35051 78063\n63522 75756\n55269 65231\n40372 75657\n14699 41282\n27265 58615\n30668 89114\n722 42808\n8163 15689\n1848 77791\n1077 39917\n60544 92819\n31908 41314\n19689 22742\n73872 93218\n58314 92959\n51268 86811\n62517 90039\n3259 6779\n8985 67056\n31296 82425\n7400 41056\n55943 80786\n19686 97769\n32778 50922\n25041 75645\n48190 93586\n16379 85625\n63740 91917\n52315 77242\n60531 62109\n10404 75763\n52935 75976\n6269 98512\n42740 67269\n25018 70368\n13367 74376\n30791 47157\n55016 86516\n43946 62245\n11740 61390\n56116 74096\n43422 75754\n25072 35331\n18602 87574\n19575 33957\n12442 90622\n55631 97114\n73965 75977\n47487 59001\n2982 50016\n63333 67505\n2698 13237\n52072 64324\n13428 53720\n14061 50119\n29291 52183\n45841 79262\n38246 73708\n83121 93849\n8023 8812\n9266 52963\n48476 96946\n19072 87516\n26234 63597\n28667 72432\n69325 79278\n23273 96983\n33867 89160\n1348 92524\n8083 46591\n49115 83789\n49144 81852\n43259 59073\n18924 19651\n57901 58220\n4952 60685\n7788 11221\n957 27178\n63092 72356\n13509 78450\n13428 37041\n6365 20516\n5138 49294\n42871 82830\n15558 48825\n55704 71882\n71199 82311\n2023 24402\n44008 61764\n3214 82919\n1293 43561\n12962 87613\n21039 83509\n47958 87879\n28400 60093\n37497 68212\n24890 68982\n5993 66698\n16707 99202\n66784 85468\n44319 69973\n53427 72007\n28791 77718\n26783 58400\n10559 82041\n38988 39075\n1527 31580\n21773 89283\n44078 64850\n3665 56854\n9148 79396\n60755 65985\n8765 28868\n69021 74252\n60288 62450\n28311 76485\n42811 65772\n14632 28705\n13964 46882\n33536 89026\n30480 36980\n40763 98295\n19616 49210\n13505 74048\n21467 81688\n9321 29082\n28071 97182\n78547 92067\n46635 81454\n9247 74990\n44824 74189\n6126 63270\n32462 62242\n30387 58619\n1630 67241\n16201 19133\n24507 31788\n17151 25130\n91472 96244\n33301 55064\n83246 99450\n37623 94162\n71913 80313\n23882 29603\n25368 59327\n51360 69822\n1026 26939\n24503 60598\n46065 82919\n49563 91636\n40720 48055\n13095 48684\n4866 85846\n69330 69412\n10393 32890\n34039 60334\n49311 75411\n45964 98561\n13029 22755\n47705 62691\n44960 61701\n8639 47425\n47323 74214\n64170 75090\n62201 70110\n42978 68822\n48244 66709\n4713 12263\n69432 93770\n64455 99140\n15153 44568\n58044 62751\n61734 99996\n24964 66045\n41013 65559\n46485 82182\n67523 70523\n28634 86521\n83653 85053\n46241 76894\n6537 54960\n28965 44727\n84646 88588\n11868 64296\n13583 91840\n417 77678\n19415 64329\n12490 12996\n24139 50076\n14266 75105\n90802 94135\n35650 36567\n17329 28137\n14348 22731\n30136 51550\n18354 84861\n5394 38586\n93510 98658\n18300 68442\n42804 85786\n26780 48746\n9419 21683\n40867 58979\n7995 14604\n2364 17277\n83853 93700\n29309 92249\n70709 96570\n16774 46006\n52790 60917\n40201 81970\n9056 14778\n61479 79603\n74249 85743\n11799 69581\n31317 72989\n64133 86224\n42210 59661\n38625 53298\n16790 36652\n94880 99451\n21645 60928\n33175 66766\n76670 85245\n6701 89699\n5860 41261\n83215 95549\n1456 43831\n31701 70462\n831 33682\n25853 86452\n68416 75154\n50921 81105\n26102 47915\n21938 63117\n8419 99625\n25907 95200\n21322 54122\n6703 21397\n24119 78305\n88957 96586\n70907 74160\n76341 81581\n11143 50572\n17186 25226\n25292 62677\n18250 30181\n16976 23391\n55198 64561\n69553 90342\n14346 33163\n9850 53715\n6848 61443\n49039 56069\n31548 53145\n12958 91012\n2512 21139\n90529 94739\n11489 52255\n19879 26107\n51737 56310\n65610 93028\n32370 77533\n41790 65944\n39838 46333\n2840 54215\n38773 53365\n39901 69307\n45276 60353\n39563 46970\n1805 22832\n9404 74155\n42736 58185\n35619 36450\n21953 43568\n27524 39059\n6999 15809\n32885 58078\n59640 97069\n65510 70413\n78783 80263\n10216 59251\n7109 20619\n27201 50480\n63320 85694\n15313 38560\n39192 52638\n38780 71575\n41812 78699\n64089 71458\n22256 76636\n68461 75440\n57502 94130\n9755 85725\n65119 65612\n66823 92489\n19321 88111\n22188 60203\n53118 76554\n32338 44566\n29790 92173\n15611 63213\n55562 64959\n58866 85048\n48568 93431\n10735 34846\n10485 67079\n32032 44143\n40249 81755\n60085 87809\n33901 88158\n7148 32323\n16886 97669\n16622 63600\n4638 62463\n48796 94031\n48954 74835\n29285 92659\n6963 46128\n1155 88123\n5169 12997\n43805 77851\n29249 71573\n23294 62149\n11694 71356\n2052 81637\n21090 45808\n5749 83032\n879 56228\n7994 74601\n58663 58936\n71513 76566\n19646 95202\n4410 84703\n40175 45583\n74243 92626\n60036 91564\n34614 61770\n35021 58726\n61913 75250\n24010 30911\n4104 57122\n7321 55248\n63597 85087\n61989 62378\n63221 71651\n9396 99706\n15 53827\n16384 49179\n10516 81082\n3737 74719\n1194 4054\n47329 96731\n35442 83823\n35166 40636\n2773 85401\n87254 97511\n31076 94160\n44023 78639\n23432 51464\n12148 69900\n6585 13525\n22069 88272\n21008 44222\n47154 55394\n1856 47268\n27960 50236\n22634 30284\n74099 86227\n3928 75930\n27711 71379\n7748 92540\n64838 69742\n27850 65957\n16870 32023\n54755 67734\n68783 93066\n68456 70901\n66075 97290\n31534 45284\n49928 92926\n59976 83771\n13805 45351\n9833 50106\n79454 80635\n45424 71899\n20847 39038\n45168 65766\n10167 81253\n48162 80864\n4082 76384\n16612 90607\n15520 92944\n60906 92372\n14194 55600\n50195 56296\n30168 82885\n46277 50107\n59040 64703\n14083 26552\n28339 82766\n3852 39491\n18160 50683\n84000 96247\n7797 78022\n8221 16780\n43473 96512\n29514 83652\n39214 49506\n9754 65591\n7326 86245\n31639 31751\n92232 94008\n35391 89891\n3888 45422\n39049 50968\n27006 92258\n30140 52597\n21380 36507\n19493 91199\n31518 64278\n22774 32199\n55141 65918\n59253 94048\n39584 87678\n18094 55205\n68510 85227\n42696 77044\n29305 73156\n2165 16715\n82636 95346\n23316 47819\n19604 65931\n29055 41354\n14453 88793\n845 83232\n23223 98852\n50855 59830\n52738 85452\n64079 91857\n7112 59956\n1075 68916\n59103 99941\n21761 26411\n78414 79645\n174 46208\n50724 68090\n40814 42515\n46755 48170\n8622 14104\n20181 75243\n3084 58533\n54250 62229\n34872 73052\n43734 60965\n33195 34984\n55864 58126\n67669 89697\n42293 64607\n65433 77274\n53608 93303\n34689 82440\n45978 62169\n90062 99289\n7336 16414\n60060 71725\n11251 23701\n17571 41087\n45480 59779\n206 53256\n79450 86734\n47795 98828\n3967 63170\n43953 77943\n34748 52896\n16999 60662\n54 77899\n34782 92431\n20319 87320\n41464 77889\n23159 94340\n17515 36015\n42274 92801\n7937 97955\n47533 99375\n22217 87336\n20706 59099\n56730 79666\n32977 39339\n59702 86953\n59045 62906\n37708 74838\n71586 95378\n27077 68697\n14043 91281\n52150 73351\n4374 50534\n6707 99960\n63330 66110\n54549 58808\n58276 79330\n59326 79561\n47729 88804\n32119 76049\n41947 68355\n24163 82429\n2021 12662\n27486 83552\n4301 30178\n25219 56103\n73448 98033\n57457 99597\n31403 73083\n7892 48879\n6672 51705\n10219 54434\n9070 89495\n46777 51096\n84041 85787\n45871 72807\n8020 81002\n20890 65746\n14385 98926\n2199 56481\n65651 67525\n64787 82770\n4734 54231\n34530 99039\n31836 83035\n31174 62611\n84527 97842\n53404 83315\n922 2906\n4053 20031\n17192 66911\n69647 93431\n12829 37338\n43623 61992\n22296 70744\n40983 88992\n58109 92895\n38660 74475\n10026 13455\n55428 58799\n28502 50422\n55272 81489\n41037 62143\n34545 59107\n31889 85361\n972 92636\n50829 77323\n41976 42469\n37711 41009\n22476 78860\n35807 40333\n1002 19125\n54956 97521\n38642 70671\n40601 98428\n2519 63389\n87404 92609\n76539 88610\n1705 62549\n36566 65458\n22857 80577\n12547 82355\n10664 20116\n85578 91758\n60738 76816\n31792 34165\n18010 31493\n2659 45720\n87116 93956\n72063 98033\n64002 72519\n34685 98311\n35974 68109\n20202 53939\n25565 34352\n58545 91019\n5613 8229\n11605 68768\n11469 94054\n6048 93943\n30848 36125\n46087 77582\n70484 98532\n35156 43322\n80831 83127\n42363 86846\n55772 74063\n37096 78214\n19470 51342\n5278 23753\n36870 82877\n74189 86561\n26136 41022\n13822 23441\n45413 77061\n25533 58032\n81887 95349\n66082 66876\n36050 45080\n7505 88892\n2170 8247\n4646 15123\n68227 84370\n30039 70100\n52854 95182\n23577 65383\n8754 93053\n12466 25411\n61261 85261\n25383 59347\n62085 73836\n15447 85162\n69190 80097\n46875 60215\n4026 18594\n9389 51542\n8567 74252\n203 11803\n2133 56260\n52852 95394\n49817 96583\n64799 70265\n8567 13455\n24828 97800\n61938 85279\n28916 60197\n88115 97516\n26376 42771\n26507 85219\n67241 80431\n37240 52389\n4392 66783\n20192 54380\n15077 17124\n19914 79765\n11862 54734\n18440 97333\n84667 97706\n3093 92183\n25121 30640\n21307 30393\n32819 77958\n1768 36118\n64563 66525\n12682 52369\n62897 76096\n67123 88436\n1267 3072\n50745 81388\n29796 34279\n30823 83809\n34611 95147\n7324 23263\n30832 45332\n18847 62132\n2385 13202\n393 36575\n41035 69231\n3316 64564\n3192 21083\n17415 45595\n45361 89061\n47403 83514\n28982 86489\n10510 34343\n56870 62172\n23322 79888\n51190 63535\n1382 42531\n38932 43582\n24580 66778\n5458 87371\n19329 98216\n3851 40837\n31371 53055\n17081 38269\n68684 90278\n1557 20757\n43687 66375\n81621 83716\n12643 63259\n73799 96248\n693 94613\n2533 30316\n536 69562\n31991 43355\n18002 69632\n17177 79286\n64705 76181\n36257 76168\n41501 96800\n49074 56531\n45051 93463\n41294 78005\n95730 96850\n15036 34477\n70887 99393\n54701 79701\n66351 83645\n86350 96002\n37498 96160\n83266 99137\n14820 72316\n28793 33554\n3176 10859\n76456 88458\n14348 55711\n78666 81368\n70187 80630\n29667 30897\n6481 9516\n63202 98005\n94360 98308\n15351 16706\n59535 64412\n14799 31315\n77744 83833\n49722 98470\n28449 50486\n17459 25589\n31536 73263\n10441 70986\n17283 49303\n8659 88216\n14695 90180\n86919 91044\n69177 95456\n23040 76390\n37446 40493\n55504 75950\n14590 50716\n17450 78059\n14942 95946\n46660 83314\n23841 94754\n10979 16262\n42861 43109\n73991 96010\n14592 47242\n13878 48635\n41648 63803\n83012 89297\n9379 72796\n13529 41268\n30479 92393\n71005 72439\n89305 92799\n45847 53147\n49794 98465\n69835 89174\n18985 99036\n1645 11134\n5363 33856\n69383 89532\n42094 76357\n856 28971\n6527 29640\n28266 80343\n40795 87249\n78745 80271\n24192 53500\n63497 99649\n7073 96978\n39021 47662\n55485 82999\n26933 43275\n56460 70997\n8339 8923\n49699 72035\n12446 89560\n63282 90735\n5607 83185\n12920 97707\n27840 53873\n24065 95147\n21340 67276\n2388 93818\n8279 50898\n16313 79404\n27913 70667\n5011 80768\n4046 84299\n49033 75105\n93161 94627\n40235 59097\n63791 89426\n243 60578\n66986 76647\n8623 22974\n3332 30512\n46757 79185\n20496 91447\n88546 91759\n15773 83233\n58080 80594\n13546 54966\n11560 52999\n34393 53269\n67536 69020\n40592 78718\n10704 16787\n13893 41053\n28493 64951\n21792 33096\n64157 96464\n9866 78048\n75154 93659\n85180 97225\n371 72788\n65560 71712\n45147 55425\n240 12143\n56997 95635\n18958 72152\n49014 75607\n19465 82743\n22840 54515\n92220 98589\n9532 85901\n27181 95430\n33225 79959\n40364 94199\n20813 49793\n69208 73025\n51262 62956\n7299 75347\n68537 81150\n93484 93717\n38911 87022\n22178 91400\n19707 33294\n20143 20814\n5246 78627\n63586 79571\n57746 92087\n23600 67170\n22620 42729\n32906 68773\n47195 71027\n25761 29947\n35569 41653\n56917 68082\n10544 83926\n39903 58203\n50285 57971\n5200 6347\n39366 77475\n77473 91153\n8993 92081\n10544 53731\n28086 81373\n37420 96997\n6544 26197\n10944 91970\n14406 88003\n12936 36664\n30559 73814\n9574 83011\n54312 57113\n12082 96601\n35584 76329\n30390 48202\n20632 54263\n42185 78457\n82574 89441\n6169 79741\n59533 92244\n32907 63662\n45592 76827\n10598 39767\n23355 94555\n8904 68350\n41637 91883\n37990 99426\n3823 9802\n49063 98446\n41154 95900\n3376 11716\n2395 46759\n14649 35995\n19717 20467\n9177 99016\n7734 85841\n57244 64407\n45602 80305\n4268 10513\n2552 91952\n65276 75745\n26012 73317\n19831 70253\n51098 52276\n20612 54191\n10620 46466\n2525 96744\n32918 52805\n31555 74867\n28323 90123\n5936 95767\n59683 92766\n15821 55125\n22089 70737\n18347 20511\n39563 53083\n40934 72828\n71135 92099\n15649 83506\n72721 96255\n43499 98870\n2991 49966\n18710 98745\n59321 92035\n25457 56178\n2307 37395\n16182 50103\n29244 68286\n20980 47797\n18183 76318\n20110 72058\n20492 54120\n64744 92210\n42860 63171\n59454 96780\n8737 11928\n11562 67356\n9840 74930\n6886 9988\n57824 74175\n32094 47967\n27443 86305\n31904 40279\n40476 43482\n63477 93103\n97912 99525\n69039 96880\n2514 11126\n30085 55618\n12519 85395\n87804 96587\n95466 99228\n43522 55411\n80803 84837\n376 26711\n36448 53610\n66067 88252\n8509 48269\n62213 91767\n71125 72293\n3608 22573\n63492 94684\n17998 71073\n7993 34084\n14609 35577\n24332 73239\n44215 79843\n45481 56115\n34202 58288\n5010 5296\n33482 49930\n11313 60741\n38869 54792\n54948 76702\n9190 25857\n28858 94835\n3243 21362\n5877 44713\n57648 97289\n9177 14202\n84140 97042\n29545 46883\n46474 97731\n38055 91842\n38258 54017\n87554 94113\n19101 35745\n8009 37496\n19493 88835\n76216 85523\n41100 44181\n35124 38187\n11532 98714\n23834 28518\n18836 81303\n18252 46869\n17624 96701\n59622 81118\n30366 58494\n384 41151\n4849 97056\n1082 79648\n15384 53859\n56941 67464\n11427 31187\n21389 88758\n24306 54172\n58680 74384\n20635 84149\n34549 95056\n87949 94097\n43340 81254\n19841 31612\n27782 29908\n4660 59318\n5338 40218\n53567 65053\n77899 92799\n54892 77384\n12436 14176\n1963 30579\n7974 45870\n6615 99302\n2195 43561\n15865 60824\n97508 99447\n269 10287\n6716 39845\n41334 97387\n4422 63314\n895 59337\n18166 66994\n9395 22077\n7146 53293\n5053 37984\n3146 87455\n71584 91511\n43446 92124\n11674 48218\n2681 62341\n59907 63549\n3894 19502\n37023 82442\n37096 95114\n68470 94353\n36419 50019\n35880 84883\n22095 75695\n32839 54710\n29590 49095\n22968 26205\n32432 82364\n75077 78422\n47502 66576\n11014 98683\n10491 93679\n34873 37239\n60110 76569\n80367 98249\n16799 25413\n89140 93654\n41599 77974\n24559 37383\n62003 76639\n48615 51483\n46096 93840\n3592 65596\n13041 51722\n8191 15472\n7533 97496\n62287 72566\n41240 70478\n46705 72391\n41090 82384\n65504 73544\n2205 96352\n4329 56090\n71352 99059\n73657 85894\n41520 66537\n65268 93345\n47406 70068\n58425 64002\n23038 98295\n5423 57039\n14164 86788\n34940 79566\n7831 88985\n37839 46776\n71927 88522\n10448 96178\n62799 85147\n9062 11445\n27560 64778\n18954 59013\n25845 31001\n62922 71425\n31783 38109\n476 93684\n59124 77094\n22891 79300\n39074 86898\n35259 80431\n77831 98760\n25803 55118\n7987 39974\n67491 80436\n24166 31822\n96281 99540\n36043 73170\n25979 96005\n4242 78483\n15968 73618\n15727 18375\n31686 66812\n74102 74827\n15854 18826\n8477 37766\n38440 63765\n7024 64163\n27423 42445\n31138 45726\n74238 75951\n78435 94707\n57276 62652\n8577 54247\n16829 68230\n43957 50990\n75397 82549\n18498 37795\n17654 57106\n26431 50147\n95455 97355\n43944 66603\n168 28258\n12140 28458\n64426 99209\n24610 96790\n8103 10512\n6429 60194\n8240 57664\n32530 93275\n8835 51633\n69063 78847\n10903 66785\n56250 84444\n4011 71574\n55396 75223\n51773 78978\n12249 95863\n96129 97720\n17792 66909\n17204 61169\n57317 76812\n56381 82381\n14563 94506\n15526 99862\n43552 56980\n17438 44146\n11373 44315\n73398 90717\n16454 55873\n44200 58995\n57715 77680\n12782 46832\n19012 97242\n33231 99106\n46317 80539\n5190 6544\n72276 94302\n87708 99451\n26654 85746\n55468 63148\n29022 36406\n25547 38912\n19583 50995\n25027 54044\n34598 89568\n18497 47009\n5629 21694\n4811 25492\n51245 74526\n68901 76458\n73145 84065\n85944 92555\n50810 65947\n2450 9053\n83324 95273\n49794 70683\n18113 70374\n54923 86925\n44459 52381\n10110 35361\n34710 41300\n1523 14899\n2748 68762\n15826 22295\n25691 47930\n74757 99060\n18834 85418\n19487 95476\n61385 80534\n16025 98299\n21531 44001\n77674 89185\n82511 87074\n18432 45059\n66266 98832\n26807 83054\n88949 91793\n20228 64990\n19388 50727\n43885 88942\n36624 48147\n41000 75104\n21994 33688\n76498 95803\n9508 13341\n4193 22860\n32109 74029\n501 10562\n11865 34744\n48391 48976\n32152 61102\n18556 18563\n4292 94156\n35504 77499\n27613 65280\n2971 50769\n56052 71049\n6454 58166\n2589 75917\n15850 72278\n92449 97065\n45113 78505\n24849 59841\n3228 79032\n41793 84844\n51169 54643\n3866 13442\n46890 97305\n14532 68894\n386 83712\n24057 88678\n53592 73130\n16948 77971\n72849 86564\n44581 99225\n33920 89389\n11054 73589\n25919 32354\n2683 99585\n43851 94336\n32520 92230\n27133 92937\n60278 63106\n49419 82042\n51795 98896\n29237 30022\n46147 63733\n50825 88228\n26398 81909\n13704 64598\n9682 26944\n67000 80022\n2468 49188\n4469 24257\n1594 77600\n49768 92399\n59568 95232\n52572 72518\n24405 24447\n83731 88059\n57817 88127\n67450 82494\n13597 56596\n23379 73058\n5196 33473\n90667 97820\n87584 97431\n21600 68594\n2763 76409\n2862 44751\n30392 54626\n42277 68277\n15954 17106\n91563 93510\n17895 19670\n24579 25815\n19568 75755\n43372 89535\n1024 76151\n2132 36138\n61647 72324\n58672 78058\n67023 79859\n15428 45489\n54631 99188\n60623 92039\n9868 73303\n88961 95295\n6733 98785\n44152 63878\n26934 59529\n66320 89022\n66549 97639\n37570 63824\n53020 62123\n35295 82210\n73640 92374\n48060 52629\n44489 85892\n20716 61161\n33551 66494\n8228 34866\n62221 78208\n79927 99465\n42495 64014\n26576 52338\n50377 76933\n10877 63711\n11675 82918\n13778 97524\n21072 45286\n26256 74086\n4844 46635\n53274 76779\n33925 77940\n30650 55145\n50 89605\n38683 73075\n16547 59371\n37102 81367\n64296 76694\n42020 95265\n55258 74084\n33824 49756\n46667 92579\n34509 99490\n57721 68767\n63287 99069\n77489 98057\n11072 61168\n8101 33354\n16789 28357\n14941 91409\n14602 73583\n8512 9702\n38017 54726\n2836 8848\n24190 43421\n63462 88535\n15821 87862\n53410 61095\n67159 85900\n26506 75162\n81484 92486\n14731 35898\n41999 75290\n33926 49299\n5803 20077\n26327 85625\n11722 29132\n26457 50301\n14152 26854\n37556 63872\n13678 45975\n43385 66359\n3030 3526\n35091 47395\n7129 26511\n34729 36094\n29776 93640\n55397 83967\n40722 70830\n73275 78171\n5728 65220\n6324 81809\n30192 47303\n50314 84063\n5325 39976\n46434 61171\n36312 83201\n37008 39168\n72895 87061\n41574 84270\n23756 62689\n67094 83146\n8335 45390\n37100 62096\n57562 85880\n21603 75676\n6546 37469\n23179 35165\n49759 88559\n42199 49016\n7640 20122\n2001 84277\n33055 62484\n9053 97151\n12876 91243\n4402 44535\n22099 27739\n20173 42161\n68223 87766\n8799 99929\n5972 8994\n31973 72218\n44768 77140\n20388 73752\n42703 74342\n12711 97667\n22540 72335\n40094 56410\n43437 82204\n2423 45005\n6087 99069\n5365 60517\n5744 46637\n11249 23855\n37164 94919\n2771 26018\n79523 97632\n35204 89048\n1484 18505\n57272 76406\n9812 15433\n6264 50055\n12440 64722\n26782 76380\n72293 90901\n32463 89470\n73230 73782\n74135 92356\n92836 98017\n36157 98092\n12189 52989\n56984 77661\n19826 66744\n70229 95910\n4042 6786\n49630 68134\n18909 94539\n22330 98910\n63132 63983\n47737 73300\n3211 29368\n60587 90548\n37611 75572\n27981 68431\n23344 80561\n15645 67819\n62054 97394\n36436 81974\n26060 85332\n94001 97621\n10475 73919\n39445 86454\n76317 91088\n38320 77945\n665 32878\n9089 87644\n15787 49633\n10465 45839\n21264 58782\n72898 80882\n22310 61735\n43221 60582\n79576 82419\n5329 73544\n64019 64408\n53599 86793\n30492 55573\n6766 67698\n35677 40620\n15160 92619\n4065 15823\n68146 94383\n40346 68476\n54143 89947\n63401 94583\n36195 99600\n59521 90681\n371 31491\n54078 89301\n26714 84021\n46709 81161\n61968 98202\n40939 78674\n34543 44123\n86660 86943\n26591 54894\n17608 70210\n66002 80030\n16153 85680\n6330 26512\n35011 89973\n41534 81254\n50235 80991\n27336 33187\n4029 64482\n23970 30846\n11800 65241\n16130 67859\n19113 62367\n29705 84052\n29016 86330\n23073 96732\n51487 91712\n18 23683\n7868 62653\n12843 53905\n56543 71998\n10593 49817\n91357 99589\n15105 70863\n47721 70242\n64999 78716\n21705 44254\n46072 55543\n61740 95157\n71825 83276\n52590 80080\n18828 74319\n12828 95976\n29492 59395\n22433 84443\n19610 84996\n10407 93022\n30481 87724\n24035 91302\n36067 81426\n8909 26991\n92836 99059\n11490 29608\n30867 73225\n70919 77471\n34383 98467\n72475 85287\n37717 59981\n31888 45666\n39991 82385\n16814 34796\n427 54244\n21061 47616\n38417 95714\n4010 86898\n3959 6451\n72938 98946\n12946 86622\n41218 43900\n57358 91582\n55929 84872\n16213 33941\n13083 51759\n30199 64523\n31873 71391\n29811 62205\n61527 98116\n91515 94135\n26163 74261\n20460 79401\n25810 82854\n45483 78701\n15944 58621\n46702 56229\n31090 77745\n24189 74789\n98501 99629\n24903 43848\n12024 46733\n4028 10251\n1318 61473\n1200 29096\n57220 92638\n7508 88161\n29635 39332\n89524 90418\n7845 66180\n15510 56068\n15983 23955\n3352 84115\n27077 35768\n26622 65574\n42619 59225\n12898 75679\n57175 82057\n6380 8138\n5783 54940\n50758 57524\n9413 34416\n16511 52059\n3277 23896\n15585 82528\n38147 55089\n82774 83214\n67317 78738\n45677 82292\n2624 68661\n38542 93696\n35281 79133\n27566 81706\n52245 94864\n16943 45615\n51144 67637\n66384 66466\n10379 84581\n46103 83575\n59978 98756\n52167 53734\n12505 93403\n92644 97717\n47018 90468\n68105 87398\n90977 98367\n59684 91633\n13421 57705\n40227 78354\n60497 98185\n11943 96145\n30425 61199\n1442 27993\n14812 24717\n48755 97719\n67659 68627\n10362 54918\n19366 50252\n15729 40873\n33367 89227\n61405 74451\n61694 66082\n1717 33156\n51682 65940\n25485 83985\n41544 88914\n26046 72880\n10794 37787\n67704 87596\n35664 71938\n27495 45418\n57824 62278\n14168 56523\n67268 78229\n54704 62209\n55682 69458\n39183 71777\n68885 69368\n3881 23615\n20684 60651\n24908 59538\n78649 92316\n10793 72834\n55398 63656\n17471 32030\n51859 99649\n52438 69285\n93797 95073\n31077 83654\n53783 79285\n83266 94621\n84020 88362\n10070 50893\n42870 98579\n61387 61770\n22745 99804\n23397 29008\n43642 91710\n20816 76034\n15939 84857\n5211 61530\n3537 98451\n44837 95386\n17311 17823\n45424 95034\n64161 68398\n22851 74390\n41444 78999\n53215 82812\n70903 87466\n36766 54792\n27354 74984\n43542 95782\n45913 65115\n72829 94261\n40308 59175\n22924 90209\n42693 82295\n30578 65118\n5413 46449\n14944 51354\n2876 42261\n62880 87432\n24085 61959\n93791 95737\n73592 88587\n12726 97335\n13876 45569\n50560 96815\n22623 76315\n28534 67448\n23183 38918\n33129 36461\n12432 52631\n2214 84995\n12439 59017\n30463 41618\n26439 69691\n31376 81261\n35286 76124\n43618 87851\n14174 68689\n847 31731\n36184 39998\n48149 58174\n19755 72083\n1577 24805\n61887 91163\n24798 81423\n4562 38101\n20372 79104\n24525 76018\n6082 47442\n32756 41830\n2666 29109\n32567 54763\n15179 66297\n5202 85517\n27429 81770\n16280 28507\n24507 73272\n16743 95090\n8979 30601\n84418 94567\n34548 90920\n48624 82853\n6247 97974\n15031 46077\n55836 91174\n3200 65045\n11088 40861\n52280 91902\n62155 74496\n18414 98409\n42760 75120\n33434 78314\n22520 98737\n20901 60392\n66892 84835\n7958 78673\n18617 24733\n27040 90084\n2109 5307\n24860 53522\n45495 91268\n2560 95679\n13476 28573\n55255 77700\n15948 51773\n6471 96391\n695 75723\n6251 52449\n46965 84777\n12971 23368\n70344 77653\n73451 88923\n49409 68393\n52334 65205\n20328 75139\n5000 11778\n5744 57268\n52137 55903\n31177 37924\n21305 38151\n34507 47005\n6467 66651\n1880 7861\n37219 66907\n42990 98614\n18253 52468\n67986 82938\n68876 94127\n32707 68360\n43717 99982\n10523 33684\n8889 12436\n57040 86472\n2675 4369\n34294 86175\n9785 99898\n58910 96107\n19164 42480\n15739 24160\n29232 86547\n11721 32868\n35359 55331\n11218 68901\n10792 38207\n13628 78964\n53192 79977\n52950 66226\n76986 98454\n22269 28933\n1176 42240\n16072 92978\n59378 92743\n32457 52991\n24195 55829\n6012 97545\n36877 93176\n35946 97222\n51740 69866\n8014 45106\n42161 69261\n52102 62420\n19295 44664\n78102 97183\n77105 84694\n74288 78608\n36817 61139\n16303 31055\n49934 75291\n2986 70800\n19733 42224\n56171 92759\n7879 73470\n2064 83489\n19245 19570\n74511 98199\n30315 32153\n55313 79507\n56152 90124\n28950 38431\n45935 47862\n1751 88973\n43551 92218\n838 20501\n19624 32209\n7860 68357\n52136 88634\n32160 67041\n24032 24637\n47716 95759\n27493 49071\n66207 90572\n48032 77800\n47720 85101\n10357 14242\n17541 29757\n46866 98135\n22886 99064\n1587 76719\n80350 80572\n36661 68770\n29883 45578\n32082 93182\n30250 78989\n41666 57666\n61251 94580\n15482 22363\n26316 30528\n18541 76503\n51756 68173\n34864 69633\n55179 72365\n23662 42944\n23907 55197\n78895 87794\n7777 64005\n40716 66442\n27401 55829\n46279 81823\n41017 58540\n57978 79888\n39997 77768\n35843 45470\n30348 51271\n24560 41628\n17011 91629\n71971 72474\n1062 66901\n38518 43678\n95259 99891\n4484 62010\n1142 99926\n19121 54766\n18337 63515\n7849 37383\n43122 64138\n17083 31527\n14402 27849\n6517 91269\n4835 53912\n53177 53791\n72681 74916\n69422 86602\n84592 87757\n3914 36791\n47071 57619\n4418 11851\n57651 95068\n50148 77302\n51370 54893\n65178 98616\n23977 69168\n17412 60863\n43063 99443\n81870 99459\n43695 46440\n52999 96805\n10740 55356\n14892 42259\n30632 65558\n18774 74907\n76283 94856\n2223 40229\n8076 73054\n30079 36942\n43236 46465\n16085 46998\n69097 77981\n72441 91384\n4030 52591\n278 53895\n30834 71310\n26200 47752\n52875 71910\n11958 76144\n90315 93045\n50550 93590\n1058 10661\n79250 79302\n2113 35021\n35425 79711\n13003 78605\n16005 68321\n29366 44294\n71192 94483\n24541 84921\n56755 96365\n43103 81880\n56309 71214\n14986 31312\n86570 90156\n62840 98156\n27869 94725\n49390 92108\n434 82560\n54091 64726\n27686 80480\n4158 99585\n26890 56804\n43123 56568\n42499 54684\n37315 43197\n12855 55168\n65451 90518\n47819 80399\n5751 50786\n13556 42192\n16592 44077\n22635 48722\n50429 91232\n1640 24223\n34664 74860\n27756 45344\n10699 84370\n19415 89860\n32391 55772\n64948 67209\n74401 84613\n11995 25359\n41772 53429\n18804 74645\n61643 88780\n17770 39688\n17128 26932\n212 53700\n365 75801\n14873 43247\n18108 34407\n71974 76020\n35732 82899\n3093 83113\n64246 75529\n36810 76619\n23248 33266\n58635 98040\n8907 73368\n9493 25200\n4783 60247\n32371 95267\n22073 77066\n73886 78809\n19998 64331\n50648 98858\n50468 99554\n26176 94244\n52483 55434\n14152 72135\n48325 96051\n48154 75774\n72856 97746\n39305 76503\n10387 41910\n13963 64115\n58492 62703\n22337 96367\n34882 41918\n9538 30988\n53881 99037\n48409 89858\n1911 58048\n23807 37322\n32742 86262\n1992 24013\n37545 55627\n13147 51715\n83356 85532\n13464 20249\n35540 67045\n55823 61144\n11919 70656\n47606 74934\n9900 51729\n59172 89260\n9730 95886\n63653 70643\n19610 39575\n7081 80492\n5585 51842\n13089 48056\n6660 96721\n98 70872\n7785 26813\n50072 76358\n31725 36140\n41184 53941\n11069 85656\n58523 64342\n13796 22236\n9360 58501\n45553 55851\n18585 85837\n18384 98243\n3476 97904\n9467 52283\n48093 54743\n83878 98699\n26034 54885\n10246 87643\n32432 91363\n6878 45401\n7004 37052\n55255 80958\n65885 94687\n30212 87361\n5269 46753\n2348 91872\n26567 82489\n64600 78657\n22847 74603\n55465 89136\n37386 71435\n39960 62128\n13905 80239\n16231 65852\n9959 68794\n3838 47201\n930 62891\n79261 83081\n67541 67565\n54861 80117\n12060 36913\n21131 81595\n83396 91061\n46197 80136\n37379 73086\n39652 57792\n52307 72102\n63528 96984\n1468 91500\n3129 26509\n33757 90057\n97142 99947\n7070 51278\n61414 68391\n7228 25648\n15056 57252\n49685 66824\n12047 97271\n13359 15214\n32499 70250\n35765 44409\n87675 91791\n4962 9554\n18039 41389\n71513 93656\n42129 62170\n27430 91308\n16660 31911\n31139 62994\n75190 80523\n39485 75369\n84928 98489\n72822 90502\n52603 76557\n61632 91624\n35915 45778\n5284 82815\n32295 74043\n26240 41752\n32534 61425\n4366 64113\n16553 23354\n27642 39010\n35098 46735\n69658 78345\n43044 64770\n31624 50740\n70012 78876\n20672 23903\n71787 95769\n19049 52728\n14092 35402\n85987 86574\n66035 95992\n8684 89553\n51021 57814\n43112 82652\n32945 57325\n51784 67927\n57397 77720\n39579 84819\n28671 98608\n31425 68473\n44882 56617\n14870 73568\n45103 87637\n68276 74191\n35430 98428\n5483 37927\n41691 92896\n34351 49767\n18003 81629\n64469 92136\n78084 82383\n60669 74339\n65782 79186\n4583 69605\n1822 58893\n71575 78995\n21160 85003\n19820 26815\n2836 23793\n76140 79419\n15228 61379\n71634 72239\n44406 95197\n16239 87120\n68820 94591\n37581 54831\n20851 73513\n48565 91232\n13821 21176\n28535 93216\n48799 81420\n4909 54409\n21655 84268\n6837 44756\n7588 93849\n30839 57505\n76727 82287\n22251 32387\n44892 74954\n10077 76067\n496 32784\n20193 61842\n49710 99475\n35360 75245\n5434 68222\n33814 45656\n20790 81596\n18650 49829\n40445 81555\n9606 77920\n25666 42083\n157 9761\n7017 35248\n48819 63359\n24875 43605\n327 77904\n17681 51602\n2434 66303\n56227 90477\n38988 65897\n52532 70054\n460 44983\n1888 93908\n22706 68001\n17770 57332\n32922 72775\n46313 68753\n28788 64074\n892 13609\n28668 91815\n34874 44576\n21263 61389\n24546 92476\n2260 2495\n53233 90272\n44977 85528\n28448 57718\n48652 75551\n32905 93613\n52179 75730\n16402 49193\n53012 59232\n14523 59640\n54156 63590\n49972 81566\n65359 97409\n73892 92042\n9392 19175\n12160 17199\n73657 99480\n27544 63821\n65132 93517\n51247 91051\n19439 27568\n22426 69039\n59264 73178\n53185 62421\n55077 63037\n16845 77785\n68135 68472\n6012 78997\n31582 57958\n2588 28713\n21005 27891\n946 10602\n46537 68665\n9624 19225\n92311 97105\n57366 79715\n35695 99555\n3826 39659\n75160 99157\n78183 95434\n37851 82004\n33403 42199\n21204 26146\n14896 76122\n37463 85880\n14482 69564\n7868 89011\n37943 44352\n77017 84953\n35194 73774\n10595 33596\n27939 28383\n5317 45343\n39524 83290\n49418 78056\n35198 46887\n81758 87249\n54769 87685\n21383 56498\n49070 58520\n14516 89813\n53608 88179\n73359 99147\n50057 69172\n4547 27453\n44603 93108\n67520 71161\n19499 24727\n14544 58412\n724 9947\n15890 69943\n57398 74235\n12158 53301\n62680 88960\n38830 74766\n38522 95708\n66974 69693\n17054 75877\n12057 32204\n23999 56860\n76799 81108\n51746 85576\n16381 47038\n25935 78156\n507 42060\n57039 72191\n59802 84352\n37756 87721\n64308 66724\n6634 6902\n73716 91475\n2167 53744\n17433 37746\n8835 73636\n29182 80410\n21286 65962\n11462 79924\n9312 56262\n18066 84105\n34920 98871\n54844 63722\n46748 73334\n50323 95130\n41754 99754\n4204 61560\n47311 80751\n14101 22176\n9377 18961\n19644 78478\n46542 92484\n29125 70673\n35682 75807\n71997 84099\n10710 18344\n63129 82692\n8974 72635\n56711 84747\n33261 65238\n48045 86313\n21582 61632\n53353 68135\n81672 96668\n24996 79831\n62071 88214\n39529 75594\n84409 87365\n94118 96747\n28245 89419\n20410 70341\n11364 95453\n31188 68346\n54518 75815\n281 2455\n3829 33303\n45642 66730\n24624 95288\n63977 66631\n22093 36362\n8436 80162\n82592 99664\n40761 57168\n64398 93538\n54021 86999\n82908 98223\n4301 4637\n4569 59286\n53946 71485\n10895 21949\n1013 96937\n33752 51940\n77177 81247\n76659 87435\n73791 79536\n6689 7161\n55724 61950\n7082 30438\n24130 71437\n33824 38767\n45114 52466\n2956 70073\n3113 77642\n36236 60048\n17204 39991\n54918 91920\n16335 58198\n6535 67728\n44275 99560\n80584 85647\n28229 34765\n1752 86286\n25282 48003\n21115 78551\n45314 70358\n51340 92938\n13386 59291\n77145 90974\n67767 68393\n7269 48243\n42884 50393\n22580 50697\n13843 16255\n18115 51834\n7159 50042\n14445 77749\n79754 85295\n483 37330\n14598 47378\n81262 83709\n33815 71055\n44436 91579\n1296 60356\n20250 27650\n19957 41737\n43810 90144\n64947 81250\n27839 68793\n45325 70625\n5272 45331\n44360 65924\n16735 29446\n27102 62144\n25003 47753\n21741 65378\n9781 71734\n62217 80071\n79489 98453\n15337 78477\n32060 68156\n11842 33286\n29893 87710\n2518 35569\n24832 88040\n26899 66920\n14105 17175\n58039 71555\n4580 14545\n42607 71812\n31247 53238\n19852 27600\n44749 72288\n1574 88395\n6889 48524\n59649 85647\n59740 69588\n34553 75182\n4877 47364\n4931 38456\n25408 80483\n50614 94359\n25154 68218\n20253 89410\n21536 43952\n6339 74998\n32784 46243\n24376 85908\n52856 61115\n12995 14548\n31460 81949\n46996 83146\n56188 89003\n32982 85509\n48463 49239\n52642 62969\n23277 66818\n19627 22986\n14463 29906\n25975 55505\n16407 53853\n36177 42816\n99526 99633\n78563 81835\n16705 82504\n63746 93925\n36121 88331\n24062 86570\n35391 50813\n57431 59804\n61847 70472\n66077 81048\n18706 87506\n45444 86891\n6893 18380\n17571 28427\n26474 66871\n5611 30325\n37016 75468\n83453 94859\n64489 96545\n20310 93292\n7232 58497\n17567 81817\n2104 42849\n55818 89960\n60727 65520\n20276 26896\n28059 94771\n50187 94037\n3262 59052\n53159 95730\n46506 65137\n58473 91899\n3284 45696\n4907 73430\n28674 69419\n47497 63404\n59928 93322\n473 84629\n47945 99224\n20245 92880\n9970 54474\n65506 67155\n82396 84049\n12515 38317\n73019 89079\n41159 55409\n34183 38895\n11501 44221\n20116 90878\n7946 59667\n17764 26588\n50176 86875\n29289 47474\n30570 73050\n39535 63698\n50446 99601\n45294 66707\n14814 20821\n52530 70775\n86372 88184\n87482 87558\n5579 54236\n34853 56404\n21002 93409\n59149 85935\n25480 27407\n53362 61334\n57157 91140\n49826 68034\n29407 80484\n9288 96029\n184 88458\n29719 69381\n12685 32271\n40776 70461\n60848 77858\n22105 44349\n28589 46304\n17866 41471\n41156 68897\n635 1916\n22785 85961\n37600 68644\n7815 33587\n9659 27197\n1407 43034\n38539 57744\n25974 47264\n52505 69996\n64451 92698\n21739 65488\n78657 85803\n10773 57544\n46652 75021\n75725 90097\n65796 97063\n61056 98310\n14645 53140\n1196 11680\n45053 59143\n7721 16494\n7359 20912\n7887 97940\n27965 88222\n34332 98257\n6143 23665\n17514 29670\n7052 39881\n79622 88647\n24410 80671\n43709 89552\n8081 9869\n24558 54635\n25309 85064\n6262 46291\n9446 94165\n1922 83738\n42697 79733\n2472 10339\n44693 51809\n26029 67310\n29306 94914\n49649 73531\n36042 60647\n39119 80860\n23669 77136\n65784 93220\n62572 82119\n52199 66436\n76271 83140\n46978 92939\n31125 79375\n4207 65814\n30210 93866\n19897 89654\n32171 35095\n36706 54849\n8111 57880\n24165 35130\n18326 86842\n57878 85329\n42687 62418\n7602 28508\n18438 85542\n51559 60545\n7588 92748\n13399 16321\n35428 47841\n42689 78268\n8463 92494\n87334 92127\n214 59531\n29951 69160\n27198 37280\n23370 25379\n36321 63686\n7480 11569\n12833 18487\n28989 69183\n65344 88784\n2071 72117\n2760 66995\n8148 57500\n69850 82740\n20793 52854\n7561 85384\n19875 89770\n12138 30567\n14631 59011\n55168 75356\n47824 75154\n13206 51939\n63263 85014\n32098 99708\n56470 81361\n65415 78913\n5687 83376\n69002 85367\n20670 94737\n15577 25769\n22308 65094\n17694 81936\n52752 93201\n24619 26691\n59695 88014\n4082 88136\n6021 86550\n30767 70554\n66425 86216\n81279 82703\n61285 79037\n65401 87312\n6149 34204\n75563 89070\n25871 91529\n64924 94084\n49564 96875\n31390 76612\n38183 98989\n45145 83295\n15710 27946\n50385 71602\n15044 80000\n41882 69581\n32734 87523\n14868 36230\n62719 99480\n13058 31778\n21601 40915\n6364 82154\n15303 75396\n11376 56182\n49914 73957\n33740 68507\n42326 64171\n91051 94969\n83011 95785\n47869 87479\n25748 81351\n41708 68451\n94893 96284\n4990 18439\n88631 92992\n34088 74980\n54185 70369\n18795 92361\n24567 54479\n19207 71407\n4981 91509\n13013 76374\n50996 99832\n58684 63393\n13189 62488\n37966 40394\n42733 57915\n48909 82661\n5720 66893\n2307 5414\n53479 62455\n23348 43400\n64056 76025\n13228 66710\n60109 70705\n72188 94984\n5873 6500\n6023 60795\n49252 88025\n10881 21025\n65488 87878\n14126 44507\n3806 38422\n3851 91705\n30526 32081\n33186 99484\n21933 98693\n29265 54179\n30921 82064\n2668 78674\n45499 52322\n8286 92791\n216 74875\n7657 26657\n45541 83909\n31991 87837\n18484 26825\n44052 53722\n15333 37269\n1920 93079\n81935 82358\n20542 31304\n77864 92934\n3782 28640\n9125 11257\n33074 86183\n13742 82329\n8578 42277\n55994 63110\n81132 97399\n7155 68786\n39880 97472\n53385 65795\n27836 77134\n38444 75678\n34335 53687\n60310 62297\n52333 55225\n46960 97446\n51037 95094\n1203 82132\n4274 27963\n23939 69337\n11170 86172\n8264 25372\n50640 87953\n26090 55479\n15556 88221\n19884 93543\n22084 40151\n22495 74267\n19359 74876\n32869 55285\n18555 42155\n73064 80804\n57212 98238\n70990 80368\n18665 49864\n29096 42341\n9748 68912\n11610 43673\n57003 83636\n8278 30074\n59024 84889\n567 37371\n44931 91285\n55548 88280\n9986 80192\n3266 47186\n29304 57850\n11391 81175\n875 23016\n1476 64168\n600 86360\n3144 92756\n9502 97181\n10564 47706\n53396 80538\n36219 89006\n402 58486\n10171 69184\n63446 65251\n15060 26636\n23236 30458\n22775 24586\n24721 66681\n14374 21701\n4203 48584\n12241 72510\n42474 78533\n21331 26672\n13907 97791\n74872 80071\n29413 66766\n5026 30112\n59643 90604\n30492 87161\n68786 93907\n62580 78670\n7181 69045\n55859 71002\n7073 19582\n64166 76556\n59912 85584\n10406 11546\n13896 51964\n17920 17967\n51864 72397\n32453 53749\n67007 91929\n52500 99487\n83152 83745\n20511 34212\n25092 56861\n8292 9553\n24584 40270\n63570 74435\n84933 92731\n47206 98177\n14242 99760\n50614 89525\n57027 60289\n27218 78776\n2372 89305\n38152 65907\n7709 45028\n469 54854\n81092 94714\n42810 44939\n27636 52990\n32536 64000\n1462 7146\n10997 21265\n89358 90222\n7257 88608\n17847 48774\n13831 70075\n33629 46398\n48047 93844\n8827 36109\n64523 95743\n11437 87842\n25410 56267\n20389 21138\n27438 86860\n46128 81255\n2337 88035\n737 36878\n8400 39596\n57036 69996\n7678 47380\n35532 99443\n20130 86342\n20965 59394\n27465 77418\n42807 90134\n59509 64077\n46520 54522\n31202 54918\n76467 98180\n29347 64699\n17057 76033\n49326 71875\n32439 43939\n12320 29438\n39020 88252\n28586 29801\n35515 44526\n39018 81674\n46899 84985\n72783 88233\n83835 90953\n1343 45018\n37728 77973\n29743 67025\n5384 56630\n28908 38745\n10781 93450\n12545 13775\n39777 67565\n10810 69682\n16009 86504\n30850 85524\n44963 94231\n38320 90809\n25843 48794\n45342 55544\n28748 77564\n41564 60742\n27459 35432\n55263 97514\n34665 46815\n68501 99347\n5318 88694\n3011 32256\n1724 64601\n21767 99506\n76744 89056\n713 49490\n65724 93235\n4009 10256\n33930 70131\n65880 67910\n4219 91189\n26941 95769\n67822 82742\n12152 81138\n35239 94908\n72512 76190\n1197 46264\n60503 93139\n63509 99612\n43163 47588\n9360 66293\n29180 30673\n5593 89750\n1373 31408\n12596 64052\n38549 62973\n46860 85836\n21123 90066\n18833 24157\n54080 82699\n13707 56350\n10392 49723\n85743 96173\n9194 53140\n2747 27013\n29732 94922\n57728 91988\n2572 52694\n7993 58873\n21952 98045\n10128 89897\n55187 99227\n9926 55395\n85349 93497\n37820 49282\n23537 51748\n21596 76542\n40416 81046\n4315 44667\n14032 24871\n3501 66490\n57417 77468\n4567 24231\n16222 33012\n17214 32397\n1420 88928\n25603 28596\n24196 92789\n35127 77976\n34470 58787\n62538 86006\n29784 87451\n17013 93088\n13443 69101\n55547 66670\n55223 59498\n22623 99762\n48854 57269\n28175 44984\n10408 65220\n9438 55894\n24615 84442\n11501 73056\n26845 66410\n7366 68904\n52705 73079\n59014 85169\n14921 25163\n3503 45827\n11227 99369\n75024 88610\n69192 72224\n12148 83234\n52690 64574\n25983 36760\n3042 90821\n11788 75326\n21986 50812\n21987 81739\n13409 32744\n8613 62215\n36816 76983\n23431 84468\n8126 79066\n8745 44017\n58198 94016\n37817 73518\n7022 72723\n46349 56866\n32192 38001\n37667 98752\n6228 17958\n77923 88628\n73271 92362\n5956 87836\n6385 9898\n65759 77848\n28406 99858\n24759 49057\n34657 60327\n23485 89213\n9463 85301\n7201 54327\n2875 64232\n74969 80683\n18434 49260\n6889 51849\n90620 93418\n62295 73953\n33193 45988\n76990 97237\n36082 53439\n38016 84620\n8647 36964\n52678 73967\n4298 54122\n8964 41041\n57618 71497\n40051 74650\n59283 85224\n9455 33582\n25836 64787\n21325 45640\n16826 53230\n52106 57673\n6350 75183\n3728 27774\n23867 64487\n84111 85640\n13820 71416\n43386 76819\n27221 38106\n36702 98959\n45512 81769\n27226 55498\n49840 67002\n27549 99395\n24405 42699\n14829 30957\n59092 98535\n15384 34798\n12286 71437\n5499 90615\n39920 75461\n25855 97054\n84648 97039\n17979 53535\n40820 63360\n18808 26519\n7828 91163\n36325 69029\n49976 57922\n40332 72076\n5293 22304\n29412 88490\n67946 98019\n36296 82485\n16214 80103\n46089 58669\n53012 72612\n45525 97792\n46243 71630\n66115 69750\n37257 68310\n39225 82714\n57609 99808\n23347 54601\n1981 35207\n69316 73733\n41855 92104\n20710 38659\n18278 20859\n38001 43197\n54233 70151\n28666 80473\n518 12909\n742 86270\n24574 93581\n75533 97244\n8133 31931\n40368 90152\n65256 98134\n53512 88439\n28088 82289\n72878 73849\n61155 84195\n10317 82186\n50130 72184\n18676 67390\n21953 58155\n17353 97652\n62439 80881\n86705 99017\n40526 46744\n6687 20882\n3480 69920\n68602 99922\n75162 93519\n15182 30680\n12561 57018\n64265 85718\n3013 28124\n40094 66458\n31569 71717\n35828 76248\n70163 79626\n82825 87324\n44172 63414\n24532 35887\n84780 99267\n7189 90634\n58773 83882\n30369 49227\n2720 20060\n55667 92505\n33951 60999\n71581 71665\n73835 75586\n24986 97903\n23901 48429\n35090 94449\n29562 47815\n4081 33284\n3694 29799\n35570 72207\n30738 34588\n72264 87941\n43344 93757\n57529 87279\n23710 54238\n87604 89538\n11481 36995\n48921 96301\n16621 94914\n9627 88546\n63185 64685\n20278 30593\n43944 48856\n49466 79673\n14383 93333\n43481 69263\n35154 66743\n92813 98340\n13204 81578\n27289 49764\n48860 97171\n61192 81040\n54587 66302\n6105 45093\n3908 18440\n2025 30884\n26290 58980\n4677 13509\n9148 46442\n77469 82279\n6199 23815\n80551 82744\n85061 91207\n38849 94848\n9547 24799\n43080 96587\n60926 67086\n5741 9546\n10973 73944\n5669 65166\n51935 69790\n42614 83079\n5494 47975\n9165 64295\n55158 80447\n9097 29184\n65671 82955\n42126 83381\n29010 33991\n16949 85948\n33419 39237\n82803 88472\n534 38215\n11471 81184\n33933 67504\n76129 99518\n21767 35348\n17589 93246\n25950 91072\n54278 60187\n34365 64378\n28431 62409\n2173 74430\n12650 73339\n16281 49863\n4544 85410\n23808 73199\n38502 53753\n1351 96877\n9960 98807\n49953 78468\n63391 68475\n19080 79189\n49132 65250\n26119 52911\n6724 21731\n3382 27448\n14144 42326\n46190 78032\n32055 45082\n70992 97989\n15263 73007\n5253 58769\n8553 41254\n28710 99783\n1584 97721\n55469 88365\n1877 20653\n4515 16965\n20664 69954\n4672 84011\n12468 24818\n59479 68986\n1625 60310\n54486 82515\n27752 78387\n30517 31802\n45245 92330\n12063 22306\n62433 78725\n10482 21020\n26405 94808\n1927 50131\n51580 64191\n2938 58673\n23495 52217\n26095 92452\n4566 28220\n60559 83224\n38689 66704\n65235 71638\n26071 45936\n54080 81179\n45388 53250\n1413 45682\n37632 49095\n43733 60524\n69534 70402\n36597 66995\n44909 90166\n27111 58873\n16607 97351\n23451 63267\n23500 87824\n36943 38552\n4744 79555\n37233 44300\n48441 84627\n4729 22971\n36305 43639\n5813 86696\n9223 44611\n69178 90579\n39873 82545\n914 85591\n18633 20978\n7770 67902\n1635 37106\n84664 99239\n30268 82631\n31579 93954\n71719 78375\n34169 72475\n950 86556\n38367 42616\n22439 56937\n30445 68717\n24315 34680\n3614 86368\n21013 96921\n21072 44364\n60531 74941\n7908 53022\n51766 90632\n16916 52494\n10974 17101\n44405 78791\n14581 26834\n34667 61016\n70013 94039\n57532 68241\n18231 56496\n64538 87834\n64129 93988\n11400 20904\n18043 33749\n74878 76454\n61422 69271\n25753 96792\n7660 28542\n63173 92501\n9017 21777\n1375 89174\n16500 67550\n37618 83141\n33872 54419\n15701 95128\n55955 59384\n40935 46521\n6213 54401\n24391 46392\n2272 95250\n34230 61688\n62893 93389\n62003 84168\n34960 55539\n30926 38721\n34199 59668\n6123 52611\n36697 92467\n46500 79490\n17056 37510\n62030 72991\n1017 16530\n75354 93045\n78930 82148\n17170 33910\n15006 17091\n42081 61242\n39864 87327\n55992 71040\n12108 89700\n33125 83600\n10834 42629\n7176 46589\n33981 76987\n62512 76137\n74231 84940\n45642 54332\n728 93127\n86225 91327\n50478 69369\n79045 83545\n49030 60068\n18324 35274\n59178 72164\n78407 86490\n10598 84458\n12865 27820\n75793 78307\n62652 86691\n84085 88192\n56334 81084\n75091 99459\n6575 67814\n30278 52368\n83287 87756\n63482 90528\n23050 33043\n95470 96562\n58691 63142\n30424 71289\n61556 85015\n31045 40214\n28035 53678\n17702 39269\n5268 68333\n64402 92946\n42744 64875\n8717 31497\n18764 51767\n22538 91545\n8369 81861\n39789 73940\n8617 30886\n34752 37027\n13642 99978\n3633 7047\n54054 92632\n80649 87201\n9564 53152\n46199 72136\n20654 46434\n63339 90061\n50980 95712\n12666 75853\n96133 98563\n31591 67114\n10450 18213\n39427 63716\n37679 88508\n16110 81860\n35937 60325\n53147 91195\n58990 98715\n29496 38699\n374 64558\n53465 70674\n34222 97244\n7528 51887\n75600 96376\n26255 85329\n63376 65380\n24931 82225\n62045 62482\n41279 67145\n54517 78144\n988 6212\n63247 79025\n10070 49692\n28014 68792\n31702 60978\n507 30231\n56471 97859\n29218 46004\n17975 76835\n12462 48132\n9364 45781\n56334 94049\n34761 53380\n24840 38391\n28920 46038\n28875 78868\n9026 55205\n44994 66809\n85848 88537\n43523 86170\n22988 41557\n28070 86883\n35900 58099\n54739 73787\n71231 73775\n73551 96171\n34108 58129\n58331 89809\n6494 95488\n15173 80504\n29714 87697\n15690 73495\n12692 79875\n1394 9498\n56996 93551\n7362 51428\n73151 74901\n36761 56992\n57070 71022\n77001 88096\n38453 55772\n53511 57929\n34656 57628\n19083 44401\n6517 7723\n45629 81403\n60286 60855\n323 51720\n36141 57196\n36359 42469\n70001 85518\n43020 70237\n3814 99251\n21846 71854\n52495 59185\n25884 30273\n61729 87266\n21804 57350\n8966 95302\n23072 61192\n61746 94933\n49138 72479\n47663 84897\n25808 70581\n40164 86193\n20197 48797\n81286 90292\n13257 36122\n6583 84520\n81610 87853\n7850 99414\n27873 56286\n43460 97666\n5908 48520\n39853 84910\n5015 27732\n44419 52023\n37354 41611\n6387 81242\n84359 89010\n58042 85847\n6458 39347\n78894 89523\n39558 49506\n38227 62960\n12302 13444\n71520 87178\n4946 36999\n45403 65308\n6869 17968\n28650 63634\n43301 54764\n77027 78957\n26838 38546\n40705 87867\n46054 55172\n24601 72602\n32702 68561\n71441 87371\n77567 94780\n22541 55463\n9311 53015\n62687 64257\n59065 97431\n23746 88971\n2368 54219\n4804 74564\n4668 20344\n64194 70917\n22969 83794\n21090 23321\n58567 73869\n72162 81408\n87693 95480\n15299 70482\n81187 81295\n50142 60447\n65207 73631\n80784 99741\n58700 83691\n44129 99201\n44729 93247\n60558 73993\n2874 68819\n17919 65267\n42080 74642\n20787 62915\n11788 96323\n34673 55747\n40224 80926\n5850 95246\n9070 39994\n12817 93857\n56800 73875\n9476 9901\n24551 72587\n46086 53308\n29017 67836\n67044 70650\n40444 49630\n27282 29795\n10561 60134\n43844 45559\n1675 72268\n30312 98456\n9412 39749\n16892 20743\n3972 79771\n59628 77078\n19203 29483\n18024 67505\n6479 24736\n25970 74790\n7210 63383\n9633 47924\n7350 86902\n30704 78711\n61390 70197\n12376 73233\n7049 77263\n87989 89060\n41955 70975\n5184 85979\n63895 86057\n28318 68650\n26271 65733\n18129 34095\n68903 81377\n63176 78121\n73709 92033\n10499 99447\n22591 82557\n4346 39847\n30676 82699\n52239 64109\n31361 76388\n35623 75972\n23991 63542\n4212 5616\n61647 75235\n46875 96005\n73483 74272\n10385 87006\n14894 98255\n16839 55686\n14318 46634\n12093 82111\n72181 90804\n9563 98250\n939 6410\n24796 59179\n75520 80715\n5345 52091\n1157 46470\n50301 97507\n12818 42942\n20898 68972\n25083 30254\n21560 97017\n28307 41636\n53297 75997\n69647 69657\n71022 81099\n22323 32385\n82427 92882\n21114 78747\n14605 41066\n29136 72552\n23488 80023\n73032 90131\n9122 39716\n43244 53922\n20444 51851\n4634 63013\n22441 34878\n19313 49443\n12184 59689\n6164 10414\n3316 45246\n14090 66477\n49549 55311\n23513 29038\n49672 93248\n11184 88798\n38851 50755\n20197 77470\n9213 97533\n1763 11372\n23116 54946\n45709 51623\n52568 80925\n80345 82806\n10708 22767\n6319 59889\n14444 24064\n58010 99826\n38397 98469\n58546 70414\n8409 30194\n39676 40282\n7171 78311\n60237 61121\n14745 19414\n35775 68765\n60530 88591\n2082 61551\n55675 72825\n34928 61779\n41597 90182\n1205 20259\n83289 88412\n12050 90396\n15037 80597\n29652 53837\n22588 70568\n52006 80366\n78468 94184\n13519 94836\n68482 74806\n21117 65287\n15610 91732\n12875 86662\n17264 79364\n45546 83013\n56564 96084\n23716 28685\n82030 98516\n43624 64919\n27449 30038\n36900 72022\n29818 30658\n12233 37505\n22169 96563\n23535 92829\n28769 31564\n32704 38410\n59524 90006\n67393 68893\n27174 55394\n29128 66566\n30807 92141\n44257 53128\n48238 87614\n65995 76962\n31026 50955\n26217 53150\n20283 30043\n27653 52568\n10658 43754\n31169 73161\n9538 60006\n1788 37512\n65049 86087\n43839 73015\n41469 44780\n23370 61877\n53647 81858\n7757 91136\n56437 87745\n30007 69480\n4920 92135\n53576 57216\n19330 60044\n45939 62122\n59026 84068\n35832 87480\n1729 69861\n4431 28831\n78790 93696\n15205 24880\n42000 54169\n20729 34545\n77096 85951\n23464 86062\n46978 86261\n24062 88546\n2033 54761\n4017 66879\n40784 44320\n2999 21429\n9014 39879\n52317 65436\n30409 62761\n79641 82767\n71541 98878\n4647 89871\n948 78022\n24901 80565\n1115 72933\n45002 55240\n19717 38011\n40055 65420\n29669 65207\n70252 72795\n50463 60182\n34204 85201\n51297 56120\n22338 94644\n31199 83428\n23896 47540\n13130 78437\n79653 81395\n25033 89745\n20540 57027\n28884 55694\n40088 60919\n64674 95225\n2152 16424\n32547 55622\n66399 89267\n29759 70840\n52822 62367\n72070 91505\n33665 87145\n84287 90015\n36729 39483\n5804 7957\n737 26249\n42730 79523\n1161 44847\n28227 68983\n59327 90257\n15235 88429\n13010 33349\n76179 78435\n11554 37201\n38129 61002\n37129 42963\n43901 71457\n34486 94913\n5115 67575\n31633 34943\n60634 80749\n41991 78020\n7549 9845\n70542 78008\n8672 40260\n51900 80066\n58516 95665\n23126 91172\n39427 80272\n18010 74596\n24684 55583\n29507 47355\n14072 79480\n74082 98759\n13840 48454\n19807 65930\n62158 62454\n49097 60226\n15123 62019\n857 19268\n42589 62577\n7825 79489\n7658 35607\n5803 19953\n31970 92992\n29972 48250\n3363 88535\n45685 69077\n47114 88244\n40387 99809\n40597 81040\n1826 81918\n19101 37547\n7644 98074\n41693 95308\n74969 85318\n27986 61897\n41896 96734\n80558 97062\n5313 99454\n81206 86331\n7872 14672\n863 15279\n6615 97739\n49688 80469\n20008 30240\n10935 17449\n16897 61676\n21982 33706\n30655 79083\n24078 88664\n57706 57750\n18406 34933\n6841 37985\n3563 31463\n57462 87666\n61487 74155\n77858 97884\n79769 86776\n4160 63907\n26238 78241\n19580 60417\n1928 3656\n51906 64689\n17912 44061\n25152 39059\n15480 57994\n73086 99117\n15600 43070\n1859 62943\n38570 43825\n37331 90228\n28049 56184\n20014 70904\n16282 75155\n4490 77392\n48360 67318\n30023 40777\n10964 27396\n50864 80040\n43228 92325\n11166 43542\n27570 82966\n29943 35815\n62261 75080\n868 21293\n8582 43640\n82125 99200\n10267 59896\n52773 54596\n21324 36060\n85947 97697\n15879 66847\n21315 54835\n46058 94097\n37024 98034\n18313 21257\n28876 36130\n38411 39872\n45913 96057\n13972 14638\n14820 85423\n39009 45171\n35553 70796\n37768 55035\n18835 76436\n22319 51467\n27279 82114\n71441 76027\n20873 91524\n69990 76204\n5978 54229\n11292 64789\n32125 46410\n38491 92971\n943 55992\n16492 51394\n39964 73193\n48732 73553\n2818 83203\n43375 83512\n86729 98433\n34427 52244\n4368 61718\n35844 70260\n31393 49539\n15545 18119\n32670 34522\n25654 51802\n14131 19353\n31815 90130\n32776 97763\n91765 92190\n39768 82311\n48739 68257\n29583 91187\n29222 80746\n6597 66399\n37575 61836\n11364 42243\n60363 91396\n32784 88682\n37703 86349\n36703 92355\n23981 49818\n55388 79450\n44758 47141\n7200 88616\n46882 88972\n35874 90438\n1525 26364\n19262 69196\n8035 63902\n34446 63515\n9484 30363\n81938 94613\n50356 79981\n51238 71246\n33266 77513\n18719 94973\n51149 94803\n11192 53384\n5675 87905\n57808 87719\n9221 73434\n16780 21049\n54547 89469\n49856 88704\n18577 55691\n94221 97099\n18226 61511\n32437 82025\n44769 73674\n44268 53281\n8307 78657\n58844 66030\n38836 88442\n2158 34978\n25294 28049\n23258 36856\n22080 44089\n1919 99444\n1594 52433\n34172 66235\n44903 79029\n5309 87498\n35935 87959\n62455 73211\n57528 81722\n76982 79046\n7059 42708\n52918 93341\n76696 88312\n17620 54063\n52611 66360\n42937 85134\n65359 81409\n22788 56046\n40005 87813\n16700 90375\n39957 57472\n26125 63662\n4500 34822\n4875 66395\n22341 46869\n46214 97807\n64906 80069\n2653 56506\n24520 68347\n8683 59803\n20071 78229\n83437 97491\n28514 44112\n75170 83008\n16375 99791\n14324 27858\n19478 31592\n61728 68823\n43604 83910\n22504 91334\n25108 59573\n14514 55445\n66164 92474\n51792 73793\n22698 24739\n425 56641\n7787 73750\n16330 87051\n55078 63717\n6228 47494\n58205 96312\n27569 56218\n9617 54844\n28240 60513\n72931 88978\n19458 67094\n36140 80086\n29768 52690\n20726 59766\n47641 48850\n54079 95171\n55304 66361\n8439 62635\n26094 83428\n54114 99404\n65993 99426\n86488 99607\n2148 25500\n51140 98607\n11436 67346\n11821 60211\n7533 15248\n11567 94600\n49175 77730\n19920 55634\n10450 89483\n43821 99332\n58092 94780\n7545 56344\n50997 57349\n58408 83463\n52720 64752\n35097 94361\n12417 17448\n31607 94666\n14724 57948\n71482 79444\n48239 93478\n6950 68294\n6689 11081\n44467 77632\n40604 96312\n70891 74099\n4795 56564\n12083 36059\n20920 38520\n62105 87170\n1948 14065\n15284 75004\n73118 76478\n4765 46173\n8361 50529\n27591 80871\n41637 58015\n23042 29055\n12649 85190\n29771 83973\n29312 40317\n39289 68154\n28536 58795\n7157 17159\n18158 46325\n16200 21663\n18238 23762\n45368 64825\n47812 51154\n25700 97972\n27092 78048\n13180 42497\n47998 72304\n19380 67364\n85601 87167\n19337 58404\n68695 84282\n17141 67052\n4124 66949\n29015 42604\n33619 48752\n9462 88382\n18217 93119\n38365 84969\n50709 64004\n77546 90501\n75755 80958\n19626 88859\n47009 90465\n25542 39852\n23456 86485\n21898 72819\n34456 90710\n26607 79353\n40448 83940\n57171 63613\n7805 62930\n63509 64283\n19172 50369\n53772 64208\n62175 86361\n53841 76642\n85551 89818\n8332 88568\n19753 55811\n10041 90078\n4121 85938\n12266 16608\n23490 91133\n91016 98713\n69467 75040\n49159 88978\n35635 79656\n9716 73468\n53851 66715\n33626 47414\n85858 87792\n70201 88329\n15325 44968\n43906 91311\n15836 45732\n10818 56084\n21656 62095\n11956 50163\n5591 77099\n11706 73363\n52629 58523\n38100 54872\n66618 91670\n27882 48573\n15250 50569\n25573 68598\n16161 30108\n54406 55603\n53932 78276\n50759 66823\n40469 87697\n27501 94490\n15908 68199\n29494 66393\n32879 56309\n16206 31499\n57740 69250\n39523 89700\n33243 37786\n6161 79780\n31497 36943\n62066 90156\n26707 94769\n4723 81125\n27099 87705\n26380 36918\n3974 46726\n1530 27481\n50969 70992\n33680 87074\n73499 86769\n12974 38021\n10174 92109\n4821 69043\n65212 87832\n7916 84689\n79130 88217\n12992 99265\n11204 52340\n41278 75608\n71313 99871\n2396 4064\n59135 82937\n37685 68845\n55365 83916\n7988 26631\n27724 56446\n49157 83672\n34091 53372\n25219 38872\n19324 90051\n46399 95152\n22261 77305\n29783 39206\n39292 91342\n46659 59086\n87049 91217\n56238 96036\n25277 33010\n7201 99519\n60194 83252\n98924 99351\n80639 95053\n28377 66292\n28499 72867\n7915 19745\n27564 37663\n27834 35894\n67300 94678\n63921 86395\n9409 54800\n36123 39315\n17255 50948\n12927 41076\n6464 57063\n60385 75944\n72265 95741\n2391 96381\n44165 97550\n6805 90997\n43142 61588\n24417 81600\n33714 33959\n39403 72499\n28784 90638\n55351 90244\n27375 99315\n55345 60191\n25293 32226\n6061 26772\n47188 47323\n39608 53159\n36709 91509\n46599 90784\n560 33427\n21668 27248\n9418 55688\n9890 17757\n7940 73552\n59636 95801\n10929 11742\n17948 27399\n23194 43687\n12343 95226\n92139 95698\n34749 52123\n15088 33647\n74744 92270\n8917 69080\n12195 84176\n43870 81604\n26335 67672\n48652 68824\n54293 54916\n41585 79786\n9666 35069\n22605 77115\n71826 82084\n26530 43063\n87889 91817\n61981 64161\n58421 96279\n28245 33711\n38189 84439\n44380 82653\n52505 97648\n20551 53582\n40745 92322\n30181 41590\n80728 90410\n36540 85029\n10269 80738\n70202 80539\n24635 44133\n11081 11264\n23245 35062\n59187 85341\n3407 48869\n4380 18225\n47861 81642\n44459 74437\n20993 72236\n1543 71968\n15725 71565\n348 73501\n33911 36433\n33633 41631\n65271 99205\n56825 58057\n15758 23803\n4380 43488\n4601 61040\n31214 60178\n11601 57925\n12958 17845\n73181 96583\n23506 98638\n6227 84351\n62082 79550\n30945 78392\n10745 80030\n37005 55223\n67562 76783\n42460 60051\n68338 94149\n10217 12817\n4371 26129\n47760 96655\n36036 63500\n37181 61548\n27031 82453\n14008 72620\n32753 55398\n58202 71096\n29993 87527\n20666 58427\n658 54617\n28842 78302\n17441 17731\n21944 27270\n74123 99671\n55095 80586\n40120 44096\n25848 41374\n72110 99326\n1498 66246\n5332 36231\n80836 89273\n32412 88365\n32471 40533\n80709 81099\n2257 86490\n82394 90164\n12280 28909\n29074 74686\n35023 38233\n52882 86994\n33064 76689\n6046 63410\n4197 98015\n16041 50997\n78627 94329\n9999 86047\n24454 63802\n31666 41273\n31806 54149\n8989 47640\n13333 84786\n68108 88184\n53805 64386\n1995 39004\n29849 73299\n10474 52924\n28716 89055\n48293 81129\n40076 97528\n56627 85795\n19638 27074\n6432 9643\n16412 65273\n70571 79184\n7789 72710\n20766 41740\n46511 62717\n26678 48171\n8418 34874\n23113 49725\n32674 44236\n81360 98209\n12025 79230\n20313 57576\n10215 41209\n21134 58541\n10003 38915\n47751 93479\n8104 56551\n73038 88856\n24982 64244\n11569 33968\n48038 74979\n29456 75438\n29541 87416\n22868 90905\n19825 59611\n35168 93330\n7165 7971\n4440 83372\n34979 81206\n35111 65206\n15783 94658\n9129 30262\n30958 80578\n46166 52072\n3164 15874\n48644 78354\n49681 90864\n29917 89265\n36372 81963\n55661 74485\n4906 20730\n23540 34755\n2057 47583\n28765 53709\n14605 53818\n76183 96317\n11252 90647\n59146 89439\n62394 90817\n46059 88678\n38308 76716\n65789 82537\n16462 54803\n9591 12311\n49776 64937\n10279 95707\n59105 71548\n13970 55956\n42027 66794\n32045 51416\n19110 25985\n1264 63155\n8 42385\n9498 55271\n2983 17580\n18560 42541\n61734 68906\n52463 73299\n9620 95542\n74072 87312\n12432 45332\n61068 75451\n58943 73988\n28769 40527\n26426 46155\n10207 98310\n17552 73689\n18412 72176\n64263 87917\n15295 48640\n26128 49925\n12555 85141\n27500 35090\n25683 64617\n6946 92021\n19843 41685\n16737 61649\n4825 24973\n29671 44338\n8038 39124\n32367 49388\n28469 64615\n3941 28792\n30067 93678\n6918 62073\n7177 18624\n13544 46382\n80780 98926\n46956 86062\n40634 66747\n64140 95754\n19939 23885\n71067 97101\n29854 52085\n14134 85542\n7297 84998\n24731 70526\n53232 69440\n41357 74467\n55393 92987\n27482 83635\n16101 52888\n13981 56179\n24455 41319\n36477 59370\n63508 97144\n81923 91153\n46820 78631\n26869 27002\n23630 82782\n2736 27445\n40985 63497\n60529 62603\n49690 98623\n60577 90010\n2285 6398\n49953 61196\n7741 60616\n55224 56280\n4490 62754\n25050 73403\n78576 86072\n40692 75875\n44080 90422\n4277 58367\n27035 67567\n15792 97232\n78512 99422\n12126 15109\n1867 29913\n64774 73773\n13894 73172\n43833 82998\n75137 86800\n49125 81257\n46971 92758\n7406 7568\n7447 46976\n70899 99015\n26916 41213\n35349 69790\n56943 80081\n58536 92799\n56885 76971\n79756 80416\n6841 64482\n27739 39856\n9142 37305\n36685 85236\n10086 30466\n46918 87728\n45228 81257\n58858 72650\n33140 77831\n27970 42060\n59220 81212\n6217 83504\n14106 57072\n27888 59032\n6130 63107\n2569 58504\n23728 59568\n1328 35254\n19694 98790\n36151 75618\n41694 44731\n55348 80848\n47499 98859\n36508 37128\n28347 98167\n43322 64944\n15650 22396\n3683 45532\n46558 99225\n74760 76907\n18258 92418\n7946 96625\n7470 79027\n8316 84802\n8599 87699\n70317 80528\n23707 40044\n40482 73900\n14199 85485\n42187 70208\n14233 19281\n37441 47019\n15146 16767\n32833 47442\n35297 68641\n83307 94491\n23700 72298\n9788 16365\n10218 67194\n22933 90092\n1806 53467\n5995 84720\n19019 98064\n13504 48238\n27719 75004\n36757 66991\n84403 90407\n8077 99331\n2815 66175\n47338 96083\n58839 83096\n1548 99776\n2727 98450\n43211 78540\n54101 97146\n23251 47358\n62033 64762\n64918 87336\n9610 40186\n26412 97179\n7904 18787\n14069 44469\n15172 16209\n43455 93309\n9808 31968\n29015 46869\n32990 85194\n48707 57784\n70732 82225\n78577 95363\n19167 99400\n24413 71808\n28702 69921\n7430 63615\n5561 39072\n42890 56600\n11499 38890\n8277 42826\n736 973\n11506 27701\n16152 55737\n17225 76047\n1124 47065\n25863 27523\n61027 85509\n7988 49015\n12611 63313\n29017 38890\n22956 82588\n32752 58490\n54464 62828\n15781 99087\n9350 98651\n4058 86043\n12694 70789\n70934 80546\n14847 75481\n18162 61319\n58766 75447\n1449 32174\n27673 80636\n19416 79608\n63724 93228\n4894 14574\n74708 88221\n10895 34199\n66674 82354\n24227 51369\n48347 64873\n69 38668\n19382 39735\n70100 74391\n7807 32984\n12246 81330\n74139 94085\n27546 47872\n67156 68971\n31366 44334\n10739 46402\n91170 99682\n59447 71684\n84391 87972\n23551 81051\n28630 39938\n27431 70130\n29198 61379\n14860 83486\n21784 87764\n37844 75568\n21872 24864\n20105 71012\n50341 93464\n31258 59652\n25980 30582\n55939 91253\n53182 82500\n7749 74065\n40705 94055\n49816 54232\n50989 89938\n12955 32017\n75472 99841\n77316 83726\n41324 93285\n82310 85890\n4681 99378\n72697 88308\n24710 51565\n49919 67321\n14839 35202\n49038 68224\n17509 98819\n436 43749\n38607 60093\n36342 39852\n33129 79727\n55398 86175\n6195 83448\n4127 25277\n3661 9296\n84167 87563\n2917 98116\n30847 80655\n58111 76586\n5311 39779\n86715 88921\n17236 76305\n7999 71873\n42356 99328\n25737 75771\n9217 50858\n72061 74234\n28743 96381\n59796 60118\n37199 43967\n42652 52047\n53724 97621\n13979 48071\n13579 56381\n12549 36235\n33543 79015\n48174 88496\n12764 86957\n9822 13544\n8376 98740\n37145 86509\n30984 59930\n53299 65990\n51265 77475\n40860 71298\n26171 89736\n37428 93953\n33231 97088\n23180 90466\n12506 67165\n52968 68650\n55469 70763\n2958 27964\n13283 43359\n64638 80104\n6215 28968\n63194 68908\n4211 25716\n70721 91493\n43482 93003\n7028 36113\n463 83404\n9129 92533\n49020 67253\n28464 81983\n14903 25003\n13619 91884\n11934 95474\n16975 43192\n85130 98260\n14764 31700\n12944 45428\n42139 55965\n42287 82261\n48062 71041\n3357 48909\n17546 83277\n16613 39219\n18484 52251\n26012 57102\n5477 57485\n6883 30597\n80290 95136\n45110 80450\n8218 31093\n51719 72014\n7507 48406\n5656 48440\n48004 97279\n49253 69597\n22261 77860\n5013 68214\n14226 39686\n26822 53407\n27939 94952\n476 22400\n36601 55989\n40018 71909\n69588 76335\n42450 70835\n24477 80417\n33889 76943\n67191 77110\n59010 69408\n60109 86053\n535 61304\n28726 45344\n27802 57087\n13227 60411\n194 4951\n69091 83679\n13651 26190\n37087 43662\n31545 40375\n11041 40317\n96124 99708\n22970 70571\n16318 39773\n45398 76056\n47889 51832\n83533 98774\n13859 93679\n11594 77970\n8012 54198\n27821 74382\n70705 80966\n30340 39327\n34242 63897\n42680 95346\n86560 91096\n15151 86275\n10601 18821\n8460 41856\n70683 78860\n53978 65925\n26204 38823\n5572 42696\n10778 13434\n3500 92811\n77510 87671\n58041 98380\n26701 80422\n85972 94423\n22235 57044\n24414 31097\n29160 47630\n58501 85517\n14484 19270\n4780 68202\n511 47234\n28413 48599\n40971 65946\n9334 29606\n21476 91007\n43302 90775\n36044 46203\n16532 51599\n36495 40498\n22548 96977\n8445 63917\n22037 28792\n1032 77178\n62126 64225\n51838 98002\n1600 18303\n39141 83096\n11138 13086\n45692 46830\n23152 29338\n25307 58968\n44294 92340\n47387 72731\n13872 84395\n52304 62930\n52927 87651\n35728 54092\n10404 84245\n82836 88113\n9450 21001\n16479 69043\n6630 93703\n31862 82812\n82602 92383\n36650 43518\n39350 91012\n30094 71297\n56888 78452\n22475 52013\n23191 86425\n24691 28431\n71324 76710\n993 56196\n28626 52130\n25064 98220\n34287 38251\n12872 17624\n9124 24981\n33155 36647\n7167 36392\n21757 84340\n58799 66323\n59499 75458\n59563 76361\n22393 71601\n31767 90326\n12701 31584\n1956 43922\n10077 31272\n39753 83092\n41534 46837\n18445 34720\n36465 51260\n52255 68513\n2407 71363\n36498 52751\n11399 59489\n5636 62842\n63075 91714\n64391 77787\n9683 20166\n76478 91442\n62060 64796\n4786 26219\n56204 65596\n8153 74179\n81463 93431\n24011 66346\n24698 97678\n17841 82229\n52324 85731\n65541 70914\n9598 47943\n7650 56508\n52358 75532\n16536 97229\n13609 81137\n46856 57055\n49582 94421\n7669 65805\n25960 90859\n8428 52662\n21117 49852\n6344 56924\n16609 72046\n49556 97517\n8656 58823\n2839 47864\n46123 78887\n24054 87429\n20348 95398\n94272 96995\n30355 39418\n22764 67170\n27745 45432\n3857 42178\n2178 58568\n45573 81488\n20220 78103\n77262 96465\n61282 97061\n19281 92272\n5275 66438\n13430 41571\n28642 34056\n55049 81376\n7606 67865\n49766 88699\n7300 97661\n20598 55880\n70988 96827\n48563 81159\n18133 56462\n84255 97977\n70340 77233\n31616 97751\n7962 45632\n56442 98643\n19069 38870\n32495 99811\n16226 48194\n48097 75358\n22088 33824\n7927 69461\n17625 87059\n29289 92706\n21108 70630\n4396 11436\n35558 86061\n45696 62665\n7730 35455\n65104 97435\n33576 70456\n34913 77512\n10762 31381\n12530 97987\n30400 39967\n32778 89222\n8005 80758\n47181 70046\n22227 57651\n539 64297\n20202 87855\n22904 39787\n16773 60181\n2200 65626\n14034 90916\n37901 76247\n42289 92205\n19891 21807\n24181 61738\n44340 57625\n9245 16768\n14526 35203\n95906 97073\n47557 89943\n15899 36266\n11332 72209\n29187 49569\n6022 69224\n36362 97629\n12275 84977\n25044 78661\n73649 94407\n27105 78849\n33905 73522\n39703 61953\n67358 85459\n82766 90545\n2676 11989\n59317 83766\n22291 27125\n72734 92220\n55115 92641\n61928 63487\n18585 91682\n593 83636\n59468 74015\n33198 59271\n5059 37480\n5296 24875\n57262 73731\n23915 51266\n40842 62227\n22533 66996\n5597 81375\n17645 94121\n13561 67416\n25385 27905\n54279 57124\n27453 69076\n13220 78678\n68412 86000\n49433 70776\n18021 93531\n20769 80860\n6134 49098\n1738 16804\n45239 97178\n49699 56016\n12633 96161\n145 35858\n21017 40876\n47370 71115\n66821 70448\n21929 53479\n52356 82058\n78036 78687\n76467 84070\n50292 99486\n28061 42205\n61877 87244\n15958 21467\n22945 32049\n8587 40629\n27794 72342\n75184 86813\n6884 60821\n46162 70935\n20235 77686\n39176 59421\n30562 98317\n2835 19046\n8018 76864\n33975 64939\n4952 24819\n54240 69144\n43706 55469\n60070 61774\n2521 46788\n15408 90861\n25165 75379\n47084 51443\n20872 77337\n7821 18523\n39944 75334\n12348 59829\n44644 68810\n27637 75449\n50474 90454\n10971 39747\n7438 50244\n33938 74852\n64787 66889\n74719 93044\n47880 88451\n3313 26104\n47052 84670\n51105 97927\n28849 65783\n30796 32635\n74951 77015\n1915 70054\n33863 85844\n12471 24576\n4124 16539\n49929 88987\n44384 72365\n80168 86414\n9826 80993\n46525 75437\n27659 62269\n22463 25947\n14593 32680\n46146 55505\n43518 84452\n26122 99192\n26544 55469\n64677 77872\n72457 81017\n75606 97762\n28972 35866\n23613 61596\n31435 65640\n41110 77565\n55834 62486\n57887 62242\n48101 77543\n41102 61612\n23390 56094\n16515 67505\n48825 54463\n34063 83588\n45695 51729\n63339 80381\n29184 69482\n25493 38871\n156 38974\n39190 41497\n25334 51033\n35674 83856\n37253 77399\n89036 95232\n16072 57910\n26409 60730\n6632 97812\n3045 98802\n8191 20083\n9430 62613\n45316 71458\n11256 17594\n17969 33913\n67736 96048\n23433 69313\n14709 19609\n25995 36284\n80703 84630\n5728 21441\n53808 87816\n9030 23433\n51506 91917\n62412 98327\n30570 89877\n34466 50778\n1730 49928\n4527 6987\n41742 62991\n12317 21108\n87164 96987\n22920 89198\n32555 87269\n2857 64735\n50112 94287\n21837 69580\n56446 58457\n22283 28512\n8438 27004\n51899 81693\n50370 94564\n3257 7499\n28812 90054\n26683 92291\n74573 78782\n88881 94907\n11757 16936\n9372 17081\n60388 82755\n43579 61699\n20882 98237\n54037 70695\n73397 87339\n13925 27443\n10517 75128\n36311 67998\n75402 80898\n51905 70422\n22996 67542\n27265 60111\n27920 50274\n56371 70479\n23683 89232\n65098 86377\n17451 74843\n59942 97631\n31209 89035\n41557 57812\n57082 75709\n12374 72406\n64412 69624\n62970 89702\n45125 67677\n8598 10743\n2921 85781\n14126 68013\n33647 56478\n64681 94106\n8170 28162\n23774 76267\n90277 95844\n13658 81366\n31959 92971\n25274 81239\n24858 52404\n41579 84277\n79667 95109\n13357 28198\n20566 82556\n33893 45487\n57607 82996\n3410 43412\n27939 63133\n53617 89355\n6885 30195\n49208 73313\n58424 84456\n22649 36512\n72470 80171\n9060 98313\n9538 76632\n6191 54805\n13553 94171\n49696 85039\n31964 34661\n19850 47170\n10890 95914\n23458 78009\n21575 78103\n16884 82641\n95718 96323\n14663 15489\n53488 82664\n3715 38019\n3197 47784\n41231 98548\n18749 22818\n2209 85032\n9201 62808\n30490 77599\n27791 69182\n16866 96531\n84455 86627\n47506 64098\n9490 24488\n43063 50989\n32046 33492\n41361 93729\n41201 77399\n28949 98883\n67376 85364\n27845 38405\n52269 65228\n7595 99952\n43192 46654\n13779 35577\n41125 42349\n8985 73352\n58694 65040\n19389 71133\n3298 40214\n8739 76458\n64928 74633\n30953 67944\n47191 75475\n13684 45431\n8342 28088\n26738 27042\n3766 27131\n33005 34904\n49543 68157\n3315 16962\n11060 44791\n64193 77288\n30758 84094\n78600 98905\n41869 54464\n24238 95685\n17978 91406\n21504 28247\n27321 49025\n7298 18875\n35773 99509\n4287 62774\n41497 88676\n15393 70559\n5361 67931\n38070 87107\n62025 73441\n16532 90374\n35182 86231\n15689 23383\n70888 79860\n71210 97995\n27188 90388\n30291 78710\n72732 79961\n2830 8114\n29028 58788\n69229 76780\n45926 46033\n18038 74940\n65298 70690\n51548 62043\n48339 49068\n44282 56650\n25912 99771\n61005 70838\n24973 70411\n10603 55074\n10482 14641\n3879 31495\n33250 83905\n6746 97994\n170 9375\n12021 72663\n21351 69129\n18580 25355\n8932 32625\n68898 71836\n15712 69129\n19138 79497\n54938 68607\n7606 36482\n667 10731\n47992 72574\n6410 47121\n33553 58623\n41694 63897\n86019 95525\n40867 78361\n28564 70187\n18828 64149\n20932 78434\n58178 67995\n51348 74477\n17606 73678\n19381 99357\n30080 44773\n42523 78484\n34945 48726\n82084 94897\n61941 72483\n15100 15577\n34878 63558\n26066 39686\n15343 95327\n24740 36377\n20488 89918\n2883 85526\n60131 88356\n55189 72716\n51407 55999\n22953 27266\n3344 29679\n7610 38621\n20884 81339\n5778 26529\n436 91645\n41770 50557\n53850 95210\n8639 49801\n1798 40625\n51624 64873\n59500 77852\n70109 95333\n21370 99225\n51961 63101\n18170 64318\n36985 71308\n28530 76881\n18368 88218\n46133 72167\n18353 38788\n15734 75594\n12061 73712\n18242 33518\n84006 99842\n3503 40162\n57070 88946\n27359 67202\n18373 91282\n18662 59736\n4035 28836\n40208 75045\n80835 95447\n88404 95189\n20456 78770\n53789 77128\n50338 56737\n57797 68858\n24420 96362\n6608 57630\n50318 89805\n80121 89644\n69543 72675\n31219 97825\n84525 86198\n1546 45687\n19142 87810\n11643 83407\n34423 69970\n29503 85745\n10224 83746\n2395 21591\n50488 71754\n1891 3657\n75314 81708\n42204 83308\n33686 98668\n64255 78859\n35368 54715\n37391 83974\n33083 58116\n65518 70488\n25508 68702\n66288 82743\n83901 96636\n9081 92734\n861 52537\n13927 62908\n85132 93760\n7123 67105\n38159 94438\n11604 52753\n70728 89392\n62907 88114\n39529 77435\n63417 77612\n19319 21342\n19533 29848\n49016 61906\n61214 69734\n58767 91717\n4827 61394\n78979 86116\n51243 88374\n47643 65956\n32377 60313\n95781 96198\n68133 90951\n65880 78065\n29380 71910\n74561 83278\n41779 54316\n15407 81033\n11908 13271\n35204 88455\n31651 33009\n73452 80509\n12622 45753\n49717 86940\n6574 42766\n22801 63485\n7226 61885\n15019 27796\n75667 94443\n68912 93883\n19120 43077\n11645 98733\n26147 93512\n8842 38996\n26205 59234\n16486 38084\n44261 98595\n3971 44624\n71117 77043\n28429 85770\n41912 92020\n23550 33599\n54315 77546\n19845 55571\n68182 69633\n10216 61818\n4683 74744\n9284 80650\n18404 73769\n76924 86827\n28454 94903\n12202 56033\n18201 34851\n19792 47679\n18178 47503\n43956 83987\n3974 16512\n30417 51538\n33895 94921\n59101 74061\n20306 30841\n45683 94854\n194 60825\n27018 74668\n41970 71476\n16186 59972\n84356 85954\n93383 96095\n23304 35441\n39561 61313\n16356 29672\n25174 50052\n7807 77534\n37871 51795\n89962 91003\n77505 82581\n47798 75863\n6035 72753\n17583 58272\n73474 97589\n25031 82496\n21900 26519\n8383 67335\n13890 41487\n61484 98710\n27184 91973\n18738 54819\n87835 93433\n47883 83371\n2522 97827\n65347 98021\n12280 47809\n9306 27607\n1264 99694\n6616 8516\n6964 20118\n17219 25816\n20557 83025\n57812 60446\n62180 95297\n6114 10329\n49294 73458\n25007 37688\n2423 88027\n661 94383\n30597 97364\n364 49130\n26938 60663\n13071 77640\n13308 42361\n33762 46410\n12286 21844\n10164 20696\n23030 57150\n20605 34830\n20894 77780\n37477 83357\n48458 63609\n19374 44486\n50984 82623\n13463 74711\n1390 30158\n38218 46202\n79662 85200\n65562 88416\n13369 58603\n29269 66143\n33625 40204\n9107 16237\n89323 89592\n54162 70173\n70005 76784\n7039 41931\n3514 84133\n53718 96525\n62946 88061\n74957 85565\n70413 98535\n204 85491\n27432 57900\n4383 64081\n7526 77233\n77429 87506\n58891 88105\n64555 76864\n9453 9552\n596 44551\n40298 72383\n12311 50751\n28449 59204\n10366 73242\n62298 67904\n30908 69648\n35243 76123\n6274 73357\n54594 91553\n87071 88960\n1730 67931\n20602 81960\n3470 68019\n14539 24014\n71522 97162\n26965 47407\n48487 93383\n118 13361\n45131 70075\n23520 41247\n69048 96289\n21159 50595\n48288 57768\n28345 45745\n40069 93905\n24135 55325\n76672 79815\n40623 74968\n78599 80892\n22488 54107\n24318 53260\n53315 74647\n39372 46267\n67417 74572\n26411 79327\n56984 73968\n28081 74161\n10971 75836\n1256 11801\n70543 79755\n70958 73509\n49295 91147\n2219 73119\n19619 80443\n9180 20547\n7108 27018\n7206 83904\n6584 53993\n48969 85008\n49236 91337\n72767 93297\n23949 62793\n33786 56778\n56459 99452\n24849 89893\n26152 29108\n71027 81198\n45945 70266\n72477 89174\n42265 91619\n32557 68226\n38331 52471\n17799 26105\n16536 54539\n16101 37376\n29584 68688\n49546 78259\n10046 63726\n13323 52578\n26036 74539\n65409 68498\n62763 68460\n56142 81994\n27628 28857\n36977 47559\n84172 97090\n42942 58064\n48888 77489\n6113 42292\n62221 96967\n18702 59964\n28098 77264\n228 64699\n49314 58794\n49414 90363\n27221 40327\n14991 79790\n29185 79349\n4537 56776\n23051 33910\n1938 54688\n42244 90443\n79026 89796\n19773 34423\n65412 99886\n82838 91464\n73011 87297\n4742 41305\n83596 85737\n12528 15339\n56254 77138\n7910 44075\n42603 50238\n1073 78615\n20952 71183\n8795 71864\n42753 97950\n29171 66281\n27439 65006\n10328 25904\n39318 88494\n20355 34220\n83237 86312\n1553 66482\n69413 91141\n1959 39874\n42097 52329\n37102 57455\n70320 80115\n34198 99918\n37598 98008\n14595 48367\n15762 45055\n33668 43829\n40159 70204\n5005 87384\n48531 82569\n53824 61819\n13193 35435\n68267 82089\n33041 50749\n52851 55477\n48731 81480\n12580 39997\n9198 87879\n30490 90986\n43135 95258\n45513 71604\n10182 26499\n35090 59178\n72495 89103\n15800 57085\n9760 99293\n33001 72051\n7522 91938\n964 85952\n5802 59600\n14169 42290\n53938 89128\n30953 80339\n84099 96278\n44299 45128\n48911 72664\n77319 84864\n72750 75812\n50926 60999\n49223 85966\n19883 76330\n6827 17162\n80309 98174\n62778 80350\n86443 96907\n52953 57648\n47528 77029\n11215 92940\n43727 68997\n47482 69210\n1093 96553\n8041 55926\n36252 58563\n39837 61795\n76543 83210\n26489 68899\n38231 84807\n1489 60243\n54381 74980\n45562 57110\n83005 98725\n22609 51402\n33306 58507\n15468 81046\n2231 76336\n47433 88882\n26359 79705\n17096 32268\n690 55682\n40405 74764\n10746 88604\n10608 24872\n10310 67257\n43532 48586\n53853 85440\n18971 71606\n44609 63891\n97153 99281\n37275 82174\n33926 95565\n58841 86430\n23755 75565\n19216 31161\n6325 47108\n25309 50556\n3524 87527\n2819 74043\n18753 39866\n50500 85657\n69507 84818\n55074 98472\n11668 91703\n2821 44972\n2446 73549\n9633 98489\n17797 38429\n7960 41738\n10794 14735\n90149 91357\n62730 93570\n43242 51333\n35121 51431\n72860 74750\n3082 91432\n42785 76632\n56276 65147\n41277 53600\n46606 85777\n62026 66671\n70883 87554\n24299 40699\n77617 91327\n36136 47785\n62464 95561\n21693 87548\n9575 65954\n28365 81871\n72258 95396\n12466 61338\n19027 50323\n32132 48038\n2591 61758\n35951 42563\n83710 85181\n49156 52946\n24773 94565\n40783 48494\n54709 90058\n40097 67484\n15976 19770\n83978 85780\n2122 53442\n59072 90606\n7032 47053\n52819 68377\n19612 31275\n43175 95939\n85869 95540\n12426 82846\n18323 18958\n17355 79031\n18039 42694\n31448 32487\n2000 6557\n6795 36906\n62248 88225\n31951 38012\n45810 54630\n6838 46240\n67334 84271\n6206 16850\n23086 58061\n159 92502\n20020 54588\n20862 58502\n95141 99526\n18312 46069\n34940 83415\n37056 68026\n22796 57464\n25425 57040\n5187 61924\n5205 87224\n87303 87377\n8089 48307\n539 54504\n6249 26766\n1457 62092\n24573 63998\n3760 28304\n34159 34750\n83862 88357\n16857 50352\n17384 77135\n77502 92265\n902 65634\n22374 89418\n10523 57424\n29647 95826\n3841 77994\n2378 19219\n38622 74258\n69763 79892\n15284 33266\n82883 87081\n23625 54322\n25747 49363\n71486 74097\n14557 66516\n43874 87058\n65918 66223\n17102 59937\n2753 98845\n13803 87321\n2248 46424\n12174 54231\n29003 64216\n4023 36358\n1831 91267\n4131 28002\n34622 49375\n38330 39524\n1737 34027\n31071 52492\n7305 89715\n41972 75807\n34012 68420\n70866 76715\n52174 52736\n24843 27204\n91805 98309\n52120 60786\n15810 23927\n54329 80882\n65542 95701\n25606 87506\n10606 87083\n3021 89675\n26103 73522\n20871 31066\n23097 56676\n50158 65017\n45215 76355\n44850 95355\n21704 69398\n40725 51008\n61828 96380\n24448 98763\n5505 87877\n20722 43474\n57080 81186\n11262 64167\n29592 59748\n58014 87847\n69186 94793\n84495 93211\n64478 86601\n33409 99414\n22215 66833\n34949 74809\n33250 45762\n79083 94847\n5719 52440\n55296 63460\n47659 49906\n29388 41225\n26159 99925\n37158 43222\n30319 59784\n16663 86478\n27789 32789\n36290 55582\n24035 84895\n42673 73034\n82453 90343\n27685 62110\n34997 64780\n40379 90305\n70289 95524\n52197 61882\n31315 43520\n29977 85918\n61778 62094\n41263 87322\n69183 95839\n79735 88697\n53637 62523\n6425 76926\n46907 75928\n48338 85090\n35192 88408\n33994 99410\n38920 85593\n17232 26988\n22301 84606\n86311 86938\n2188 84636\n68928 88412\n21591 62069\n2975 24659\n26452 46297\n91411 97140\n94075 95416\n77219 99699\n13938 50076\n28874 91241\n25386 56032\n14436 79398\n427 53331\n47855 65789\n17741 34511\n53808 93362\n41810 64156\n6915 14889\n63521 82919\n33120 91990\n55424 75259\n67712 93939\n4859 49488\n4721 62370\n48161 51823\n46911 80840\n17914 30949\n16537 39141\n48030 52580\n59320 68701\n10866 46943\n68418 97574\n8578 87484\n20075 50378\n47642 78903\n30493 98175\n56832 76290\n23176 94703\n30445 31637\n13635 90376\n10063 42131\n82295 96548\n390 48996\n19053 98306\n32257 90043\n19995 23500\n47934 68752\n35972 86680\n12692 31863\n18253 43209\n42122 89653\n5538 73287\n25820 78082\n12358 83050\n67153 96640\n70631 97613\n15840 56396\n45115 51880\n35693 73793\n3214 8902\n28161 28510\n45458 85400\n85346 86075\n46797 92097\n35367 68425\n34677 40471\n19099 24972\n50222 97534\n619 10387\n62394 75033\n19309 66667\n11701 33085\n10785 85348\n58800 63804\n26604 44047\n42001 92586\n4013 15342\n5611 91147\n19199 67002\n18753 41366\n46208 49164\n23978 34870\n14545 36892\n23947 54610\n46035 95979\n12981 62833\n79268 81613\n14134 62345\n7053 49815\n2127 79568\n23570 39700\n66428 91567\n27040 47303\n42097 51045\n30253 69021\n38273 60651\n48082 62544\n34368 63936\n57497 88898\n11265 75856\n15416 31753\n12356 97306\n28841 68782\n4088 37153\n43253 69842\n8690 51973\n48542 90629\n35155 42263\n16650 56946\n76416 94580\n40713 64544\n55461 76954\n18845 21836\n7572 21510\n25540 67919\n70969 88120\n57688 92847\n385 15092\n54029 63363\n26377 64708\n26374 81997\n36372 56953\n41152 76431\n1025 42724\n9794 14530\n904 51249\n8104 90581\n39917 85293\n7493 80156\n26838 45399\n12482 99890\n1384 65463\n41803 42607\n72995 97018\n70257 97760\n6298 68083\n17548 22286\n50886 99593\n43069 56125\n50964 80929\n61418 89228\n95291 95711\n65136 68892\n8594 47908\n48556 72259\n53698 85138\n15846 60077\n41322 75049\n55685 69528\n14871 45690\n30936 83929\n71125 99341\n56398 75537\n67500 70801\n36026 72957\n14666 94906\n45829 52834\n27950 62985\n3913 85670\n22850 70159\n6816 13611\n58830 78406\n11829 69095\n22798 37608\n8365 63639\n1274 62655\n30210 50205\n17875 34093\n59460 60931\n74173 90981\n3657 29537\n83423 88749\n22564 99651\n57827 65752\n53247 61552\n21985 64152\n65564 73175\n42565 45954\n19198 45196\n68135 95021\n50910 71031\n32798 82353\n66690 72060\n22510 86508\n18648 31162\n43744 67461\n15866 25967\n11757 45719\n88881 98419\n20570 67444\n68251 86446\n38522 89626\n21927 39615\n67315 83303\n76533 94890\n45752 73184\n56620 68053\n17060 46926\n2142 13072\n24171 43560\n20847 29235\n17991 56377\n75399 96995\n34910 37368\n2910 50734\n13512 38496\n27088 79827\n9478 86313\n61973 64533\n24909 41247\n9005 33089\n57168 74755\n28759 64448\n15303 24127\n27698 47723\n3813 86901\n59037 94369\n49120 61825\n34127 35086\n8458 26405\n54484 88708\n46948 99791\n4785 56342\n14363 48886\n19519 74970\n26595 83667\n20645 23163\n20540 65530\n71759 99715\n959 42733\n32821 52203\n21158 32412\n50363 66497\n54467 56794\n72655 92779\n7915 33249\n30467 33733\n6366 89708\n38579 99268\n10096 95046\n25410 46298\n35601 79842\n14601 50076\n63288 95798\n32470 94634\n37248 94035\n31904 63511\n39370 41453\n9482 82026\n3738 78124\n65922 73387\n53886 91020\n59276 64016\n36326 37777\n15827 38865\n40712 65257\n45191 56638\n15330 80224\n20943 33069\n10886 85398\n29657 80370\n53074 98405\n9868 27218\n73664 88886\n12051 73890\n29667 73276\n35971 69510\n13814 77573\n43902 68830\n34503 39314\n47990 50763\n70303 76827\n21748 35698\n68108 74279\n7774 41339\n31885 43311\n34056 47606\n24998 96837\n65399 71583\n5633 13045\n40078 83007\n36302 67917\n25914 67890\n48872 92946\n59161 67602\n36104 96074\n40886 45752\n22870 87538\n10400 81037\n33013 51480\n59458 71650\n16231 48150\n72993 82873\n33416 60602\n14452 35045\n57487 64558\n90535 92763\n68934 98603\n20589 85647\n21384 75253\n28248 36669\n10728 87427\n15 56032\n11701 58961\n803 57146\n8906 58385\n70147 86353\n1844 25884\n13003 79965\n23966 94636\n65979 94748\n11024 79854\n44700 91697\n25242 95345\n7496 60528\n36139 89161\n35661 50883\n13658 69998\n71079 93820\n42140 54320\n27305 77967\n6471 49325\n44390 67609\n6113 74932\n49101 83810\n53677 71662\n79968 86684\n17763 50523\n29025 56595\n44141 72215\n66089 83912\n63816 84624\n15657 32282\n69272 71929\n55612 70629\n25910 67933\n1967 65692\n12204 44143\n35973 77428\n9564 17567\n77163 84574\n3831 27883\n67417 97346\n7041 64679\n31879 35329\n22201 98327\n59322 62748\n2438 20004\n57987 73201\n28635 77153\n4629 42273\n27020 59557\n17376 23538\n46115 90622\n6296 55254\n3775 89397\n63733 83937\n1724 44733\n27087 74334\n2792 18773\n44967 94994\n7710 60291\n7790 58697\n44227 61076\n29400 54842\n51301 51936\n46783 54121\n74218 82622\n32331 70209\n68249 72401\n38231 44799\n64024 76213\n6819 11782\n20560 23183\n31381 87423\n13835 66604\n7521 66826\n35670 53283\n47513 87924\n13767 68617\n39493 62439\n10524 35596\n3325 17469\n1111 30897\n56448 76933\n4749 48002\n3384 87123\n3899 44441\n3353 25023\n15253 62293\n6654 67117\n41176 87820\n54167 70895\n45461 63419\n68980 69128\n63476 95189\n18065 85815\n6908 75795\n11714 70281\n13109 59005\n50944 85861\n24899 37024\n11380 12880\n25629 93838\n4452 19520\n9373 59937\n37975 67321\n27321 58361\n23482 25509\n55651 94025\n75325 76716\n22614 66996\n56511 80775\n31583 79997\n51400 88534\n19555 79090\n2673 37859\n57385 69171\n27391 79731\n5974 16094\n32363 85655\n54566 75720\n60799 92971\n57856 74477\n33036 45594\n1775 33428\n19000 66095\n21358 83697\n21101 58820\n33257 58456\n13098 57037\n27612 62557\n14641 27129\n17673 47429\n6622 99616\n70304 96338\n26868 89637\n47802 80005\n59841 75557\n69213 93577\n204 4088\n37410 73236\n30096 95501\n49611 60338\n47045 98278\n33841 88078\n22337 87247\n65585 89444\n76072 82147\n5625 47773\n6452 75538\n25592 66093\n65698 67621\n72079 74861\n23244 99429\n52828 90468\n23760 65405\n26745 77950\n32289 62842\n27968 87389\n42641 48895\n23553 31881\n7456 82995\n58362 91705\n50081 79324\n22849 95151\n29937 30579\n11222 34898\n19864 68702\n60848 78525\n28136 77475\n83798 85454\n44245 93158\n5785 73920\n82538 91713\n42896 94084\n13274 53369\n13262 93353\n81307 82403\n17435 18374\n3252 82024\n48600 92004\n16335 36000\n33759 90282\n44501 62511\n6027 40669\n25995 99851\n51449 94954\n32813 82884\n3430 48560\n52228 70182\n11183 60607\n19687 29586\n47975 82090\n22150 86591\n10409 22731\n8165 51845\n35192 97544\n7950 26833\n22165 43599\n58862 81196\n843 65420\n59329 86320\n39559 87138\n18985 55393\n18843 70195\n16096 77530\n27071 47224\n58953 95751\n40821 67043\n48054 61142\n78670 95812\n71692 98922\n40291 71592\n12966 30251\n59795 61458\n1441 86027\n32932 89605\n29328 70855\n35082 88749\n77474 94172\n9890 21629\n12083 56096\n92078 98454\n86958 93525\n3112 55881\n8174 70762\n27506 63056\n45122 94662\n57337 70172\n15334 32694\n62182 87641\n39884 72138\n49032 73991\n7633 70421\n37276 60530\n37528 56580\n22475 88053\n38075 82471\n1833 28998\n53774 88504\n45291 75771\n3310 73454\n54072 75446\n22485 80757\n29254 99629\n43987 85574\n59576 96453\n42079 82727\n17020 78994\n64373 65600\n39426 85209\n25711 68492\n58386 71889\n49459 69755\n8062 75352\n60412 62123\n48170 87819\n63992 78976\n35614 42063\n35871 84855\n4787 55488\n4551 62635\n48082 91932\n29963 90680\n34791 55923\n5701 58158\n49098 53584\n76511 97266\n52662 64929\n8948 99368\n14365 97034\n3646 65589\n25226 27225\n56073 61459\n52403 82378\n83143 95104\n48679 74394\n40337 61947\n60237 76142\n85094 96867\n12112 17900\n31910 83226\n19069 99324\n31559 56161\n53863 92921\n34273 98912\n6735 62664\n45599 71020\n25257 27467\n84953 92839\n5560 56196\n2849 86275\n50111 97925\n78192 82640\n24281 84907\n79456 84794\n38545 86621\n33939 87759\n14875 31386\n5245 81991\n45333 91381\n22029 83701\n56093 67767\n46526 82485\n5299 23337\n5247 53127\n39795 42348\n35729 48855\n60940 70128\n8609 54624\n18701 92487\n15608 72155\n40456 47683\n20499 37584\n11322 60564\n16407 63200\n92240 92482\n34105 45932\n33464 99425\n4741 45528\n36724 73346\n62972 92247\n32384 64368\n4418 42046\n938 26087\n63597 69886\n56642 90584\n6950 93202\n57220 81372\n11988 62358\n11253 12277\n22508 72731\n1791 96325\n13220 73654\n19016 20354\n38270 55431\n59821 78450\n22781 54607\n37831 71844\n11328 64726\n34681 65751\n2152 68710\n32350 93364\n41438 47467\n29902 83086\n15544 97867\n40921 93303\n43744 99859\n27776 76915\n12777 28129\n36769 94981\n23371 37276\n20460 46306\n24460 46384\n40392 76284\n24227 93728\n8453 25946\n8092 20661\n95123 97109\n8533 23417\n10978 89001\n53927 91293\n77971 79433\n60912 64163\n51421 71099\n47316 88533\n54938 70394\n30447 95700\n27881 95216\n8364 48621\n9962 66213\n2309 44388\n11432 30928\n9875 34411\n1829 64154\n16926 63370\n22769 36835\n63307 80941\n8064 44238\n59200 96126\n19769 94560\n6459 65559\n10649 17293\n61444 67270\n8437 85664\n65506 94448\n8859 62167\n46715 88960\n70819 77691\n62094 85587\n44661 86048\n8828 92151\n20284 54295\n10251 77521\n47027 96214\n3492 97773\n25837 34077\n35321 64847\n36667 91338\n16704 71076\n49254 55089\n60444 65243\n12907 97225\n45338 67333\n10871 82422\n4325 84962\n79502 97731\n58142 71188\n43924 91161\n29830 93571\n13591 83287\n44618 78744\n65689 99812\n29095 65750\n8836 43841\n30920 77799\n55743 71126\n38826 54964\n24691 29511\n6863 94574\n4343 26324\n87588 94169\n6526 56513\n21607 75321\n7470 19379\n28830 98007\n475 8767\n27676 88078\n13258 87318\n11122 93280\n45226 54953\n8703 23693\n40692 97475\n43868 93537\n31591 34410\n28786 44632\n132 86846\n53243 70341\n11396 48721\n86791 91047\n11297 19264\n18075 97143\n60037 64980\n37025 60699\n19536 63356\n39942 47621\n57840 69771\n17450 24023\n75223 84310\n58577 94812\n39755 89852\n68308 83195\n13744 66507\n82526 96190\n31010 36730\n34830 97860\n81045 89494\n17122 28556\n41055 61605\n26877 83171\n80665 91636\n33665 48976\n74383 93525\n17983 40770\n42533 88564\n18033 57628\n95034 99216\n19464 33982\n34634 92658\n64159 79289\n12177 16958\n15918 79872\n31182 54910\n20391 48263\n36984 88447\n14315 78639\n28573 61333\n43395 87983\n24858 31457\n44708 57509\n17237 17690\n33890 62068\n7169 68260\n72211 99397\n732 89186\n3392 13252\n61578 92694\n71883 79590\n7132 47534\n12098 23713\n46330 51261\n1838 37664\n15838 80993\n13018 51393\n66539 86698\n69888 93451\n2765 54679\n12961 51748\n22895 86804\n20058 81119\n5487 51698\n18517 85066\n3173 89124\n11734 91086\n19421 61493\n79539 92010\n57805 63835\n34790 38693\n26611 86062\n2785 52207\n2409 60845\n58887 76524\n21451 48987\n2349 48146\n25879 90573\n29438 76920\n29621 36960\n35713 59826\n25814 92820\n20693 67283\n24609 85088\n66589 77520\n78300 93038\n19985 87011\n27960 61306\n49858 51380\n3180 45107\n1473 33295\n40026 75628\n45780 96585\n2356 24999\n57406 64598\n30956 81681\n8875 31582\n46271 57212\n13607 86007\n67245 74353\n8191 89471\n24201 88070\n31862 46283\n54517 93266\n45921 59853\n36660 89034\n40387 61025\n50010 76885\n10531 68250\n16696 93928\n45580 92262\n25048 68977\n54577 56706\n9393 23651\n61422 72004\n5968 45209\n85387 87648\n15484 77329\n50674 87137\n5998 72723\n49882 54801\n41787 63312\n5887 22421\n83622 95655\n11265 56301\n15773 91223\n40669 56187\n25422 25803\n70772 92523\n35474 98554\n41641 77220\n18971 47191\n43394 64216\n50209 75886\n45705 57244\n23399 72321\n31053 71865\n46077 67634\n26780 67583\n23994 36343\n35324 69762\n25547 75025\n17374 39364\n22250 61994\n16511 71931\n67274 90955\n51373 54444\n88851 99512\n29340 93717\n28369 53347\n34984 83287\n44042 99300\n11018 77207\n35710 92219\n62288 72033\n5033 89858\n64695 74876\n50604 64151\n50579 92782\n47735 48298\n1051 69296\n16784 16947\n31160 37578\n31275 33898\n44435 95073\n654 61329\n48327 70559\n20894 53552\n77747 80743\n14145 39023\n35414 47488\n18375 75650\n7628 81857\n83862 94526\n8667 97710\n68 28571\n27101 50048\n10530 33251\n7687 73017\n64528 92745\n2704 32679\n38453 67355\n51874 97758\n21458 39327\n12156 47469\n16379 19060\n75337 99898\n15557 52085\n16374 48413\n72059 99245\n32563 72428\n11072 71475\n59712 63095\n56054 61209\n29887 50472\n31356 97100\n12503 78868\n10415 14125\n26173 80175\n14235 16449\n22510 86860\n81751 97295\n18187 20500\n24468 84929\n75672 87441\n2675 7766\n16398 18872\n28326 50918\n22519 78864\n10086 33170\n54593 93157\n8116 58260\n17229 76731\n19888 36603\n25438 50637\n15537 33688\n55736 99231\n50945 73954\n69557 87812\n34282 36564\n34716 89385\n23804 58932\n37347 93716\n25949 69225\n19747 71127\n30492 99641\n37379 97862\n24380 64629\n79518 93884\n95876 98258\n15940 32420\n2319 99556\n3460 42731\n46300 96776\n20938 53264\n52888 67589\n11893 86428\n42863 97257\n21310 70860\n82932 97157\n7079 92627\n41069 84264\n18355 85382\n19369 36131\n72273 77147\n57924 66685\n7367 17700\n33001 78136\n43721 69357\n44045 56451\n32369 71355\n89900 92229\n5719 21272\n26494 75547\n28964 91537\n60452 76191\n20382 99689\n6981 79592\n20682 54679\n35584 72626\n155 89990\n34739 42774\n5585 66828\n43782 71258\n61527 73926\n60570 69548\n81143 89000\n38222 56670\n20026 29456\n15452 90252\n46339 78315\n59497 89946\n6888 37300\n58291 92869\n4527 58986\n70510 79355\n4156 28246\n15473 27304\n36467 65623\n30252 56745\n68724 98683\n40996 70295\n35808 76138\n82670 90765\n16373 31797\n76477 80344\n36775 37416\n31642 98766\n23406 35796\n41009 49936\n20031 50592\n307 86439\n20111 94758\n69975 81150\n19697 87352\n21105 56310\n73922 89130\n11557 77045\n53704 69767\n42191 87717\n20409 85093\n25308 94405\n49690 60225\n64508 68516\n15590 36976\n28706 41593\n17173 48795\n72645 74202\n31286 63429\n61805 65984\n9386 67802\n3518 62052\n525 43497\n8024 24038\n10771 51608\n76915 77074\n6027 80459\n8571 26636\n62103 92433\n20450 68396\n6500 58142\n35699 61158\n6608 77411\n25417 66633\n29421 81591\n90748 90856\n28514 64741\n84510 90542\n57471 89437\n76973 91107\n60840 74225\n21476 96902\n30663 36988\n40390 57392\n45256 71002\n46941 58109\n2320 5041\n6789 48955\n51569 88397\n32485 76711\n24935 38763\n76718 85226\n83653 99863\n64198 74727\n35920 50294\n59037 75367\n33242 43230\n2800 11685\n1603 45722\n50618 82005\n54172 99845\n20564 55568\n34222 99125\n51469 60950\n44390 89139\n15256 59600\n11751 84100\n9304 55490\n18676 20656\n32845 78508\n29013 64948\n67008 90795\n31528 91675\n11861 68319\n82413 85629\n34054 38952\n44450 53875\n45157 58117\n1305 32278\n20442 83428\n32320 72662\n71372 89119\n99197 99533\n34430 51493\n13527 43411\n52719 96339\n27803 42366\n7851 16306\n25451 91007\n34848 56543\n3664 46729\n39012 94111\n63151 88746\n66058 78502\n81379 87291\n39802 61097\n73146 73848\n77909 95331\n11830 12857\n10553 16640\n21920 75294\n27450 70495\n52563 67347\n85401 89544\n49278 72367\n16281 28494\n12773 75842\n37888 90592\n24298 63790\n5441 70930\n16883 89117\n35161 61437\n34279 94022\n4758 52044\n50297 63245\n47774 65844\n11178 37061\n12427 87693\n271 74260\n18170 86223\n34624 37287\n30311 45000\n54122 67822\n13866 82313\n62141 91014\n44788 83882\n54318 77921\n10184 50715\n3533 29680\n73892 94182\n5100 10871\n66989 77141\n50064 52767\n25561 45268\n8563 24773\n47596 54924\n58934 59807\n21996 88927\n14188 43023\n39067 94667\n42509 75419\n3815 10116\n93616 94191\n37068 74140\n55316 84328\n66994 95230\n27976 40300\n65085 71056\n40688 91773\n38954 51338\n46746 71247\n66494 74033\n8039 65384\n6545 32805\n11070 75199\n40499 81564\n28674 64968\n49426 58038\n51813 96548\n42050 66209\n55391 86170\n58195 83238\n26875 64648\n2958 85748\n23817 89257\n76151 96613\n6083 56035\n9282 27370\n25298 68504\n14358 42336\n13033 90869\n51392 88527\n55236 90750\n72646 98173\n58609 75511\n24247 36138\n5402 15601\n1821 2226\n21954 63995\n33759 73133\n11995 44913\n14035 69975\n17646 46216\n4871 30882\n41618 92690\n84646 97883\n40311 43160\n69613 73741\n13939 32674\n30888 44030\n25451 73656\n11578 46510\n30826 93983\n6624 71378\n80172 90380\n36420 79457\n50171 56490\n76587 89897\n11421 36331\n94891 98451\n31598 34133\n39299 84825\n519 71865\n52618 92549\n48052 74190\n40723 78707\n16192 59887\n64360 83819\n72654 87278\n9203 61532\n381 83711\n3378 11409\n1426 54146\n19429 79541\n33469 77432\n17949 97992\n65669 74336\n52992 97992\n22652 40484\n25094 32461\n59373 81958\n87205 96300\n13555 80143\n57097 98651\n13888 42015\n75914 76295\n31613 40814\n17059 21773\n11107 41490\n58179 93692\n42161 86450\n839 19206\n63059 92335\n58482 71504\n28325 57393\n37195 99215\n17440 50611\n12765 38461\n25640 36904\n865 76938\n9695 43394\n1353 48115\n45817 61545\n37328 93315\n3018 15105\n37345 52438\n13529 34004\n57457 87931\n11947 26958\n9346 84336\n67720 68378\n86274 92421\n33259 75588\n13472 34484\n8380 75576\n6204 45155\n22643 73146\n3158 71346\n8055 77101\n61548 86464\n21667 39882\n58010 69002\n1327 84079\n34064 68516\n5432 99701\n84040 84582\n5429 17931\n750 49089\n28418 57082\n78198 82241\n51655 82439\n83786 88682\n84802 98329\n24213 74451\n45471 82070\n30268 87398\n22985 95319\n15290 62423\n1874 55393\n5917 54215\n65465 66852\n5133 64160\n20836 28048\n1620 4426\n17877 62421\n45445 64512\n43780 67694\n54836 60875\n14566 45511\n20510 26779\n87412 96807\n67414 73873\n62289 87355\n32293 39095\n35711 37648\n36836 75371\n13779 70973\n19711 42358\n78941 94999\n30367 82164\n36890 82532\n54042 90254\n6581 33840\n17873 99447\n24966 91475\n75630 84056\n74220 97513\n49991 70810\n6699 32973\n28359 84037\n51109 74038\n6783 38068\n96124 96665\n8165 98011\n25282 27646\n73092 95128\n75688 78454\n28222 46861\n3901 8815\n11263 96882\n21921 80762\n30417 68831\n18269 68823\n71723 99938\n9112 9635\n22598 99356\n54328 71500\n4048 29762\n38311 69259\n27377 33164\n28340 86454\n28575 30207\n75092 86233\n44046 62204\n9799 69506\n81221 85771\n2104 72416\n21570 96316\n52545 61421\n39871 94537\n11583 32839\n77146 94654\n64012 98673\n36216 38700\n14917 61195\n27037 44138\n39382 78558\n27789 85960\n16912 18423\n30225 66657\n54557 74533\n47090 91584\n827 28531\n2808 76467\n34805 90394\n16725 76024\n76974 96331\n33930 71712\n68482 79367\n23137 87949\n47083 76816\n54334 57172\n59982 82416\n8650 63414\n19378 56101\n55086 71294\n50184 86347\n2301 57171\n40824 74025\n70959 86881\n25304 26373\n34959 46046\n2474 21703\n59347 91863\n81732 93114\n1353 51818\n53337 66740\n22254 27442\n52458 61660\n5994 42104\n30210 43717\n7117 8003\n22788 58091\n3901 14294\n13534 86408\n30387 98485\n36841 49866\n54783 74564\n44635 76162\n27359 32210\n4407 33097\n59411 68857\n45489 66662\n22228 52156\n2524 61390\n15834 62891\n29217 39144\n59631 99556\n8929 33314\n11346 25001\n58940 68314\n38043 56831\n78018 81597\n43096 61450\n55903 65837\n80789 82878\n21372 44112\n44901 80680\n64609 82264\n48991 61151\n78317 90327\n17108 24896\n52047 72631\n5077 87898\n63040 76396\n3973 80283\n7333 52127\n90586 92841\n38147 63980\n29113 90720\n42981 79249\n49247 96509\n29983 43328\n62477 83101\n59375 91049\n9611 29738\n25988 48663\n73801 90647\n38301 63006\n27147 58616\n61185 74563\n14010 53830\n20098 43568\n37364 95409\n5268 5864\n3422 16902\n28356 87696\n22811 58693\n35633 94674\n52377 63938\n24948 84222\n818 42297\n49905 60678\n3168 32873\n68071 95181\n70635 90958\n19832 76592\n22972 99365\n2667 71719\n1941 58709\n173 50727\n47090 82945\n24698 72994\n88354 92931\n20817 99939\n26981 74719\n16418 42459\n2255 53585\n83061 97754\n7394 71371\n18190 23217\n25899 59339\n78251 88699\n13087 24502\n20147 30090\n1450 83574\n63801 80414\n54350 98423\n29544 59300\n6159 43035\n35206 66900\n47670 95828\n58171 69759\n64666 92529\n15302 87360\n16858 59944\n20026 68105\n63898 84360\n81137 99703\n10485 99235\n62594 80383\n20057 45392\n32615 49310\n756 22029\n53142 90167\n52968 98440\n27981 46721\n13054 63903\n19250 89430\n11817 11924\n59961 82244\n40573 50864\n36357 55779\n14115 99792\n833 83685\n68150 87613\n44073 51105\n33787 49536\n47417 94646\n31533 74482\n35359 41139\n26197 39332\n7749 13848\n41404 47877\n3775 4036\n64170 85485\n2155 53537\n10758 22339\n4693 71595\n7669 51707\n41398 70278\n46852 95944\n17903 23604\n49485 80410\n71218 98825\n15879 37260\n1617 47605\n56194 67011\n12954 18162\n66047 70465\n11124 45218\n30115 39552\n14168 55941\n17892 64064\n5058 24235\n41988 73857\n49645 85269\n35792 64593\n52805 80800\n50367 50895\n53416 89009\n1973 50676\n21125 25474\n78553 96634\n29545 75595\n13441 48032\n82548 89047\n5332 86198\n55921 72673\n20686 51878\n9824 56592\n31867 75752\n1501 64811\n64122 99084\n37472 66520\n44271 85871\n17409 24254\n16921 98681\n1627 79961\n18083 61559\n12723 30278\n19620 51814\n43201 73749\n55707 62838\n80959 87449\n29453 92513\n20302 93328\n58199 90442\n511 4831\n34689 34824\n8414 63898\n47726 58085\n44624 80585\n25986 73031\n48029 93054\n77475 79426\n1638 42299\n77329 96993\n51994 79489\n62383 64489\n53571 66670\n51132 70635\n12921 83002\n29453 79678\n63163 80454\n6439 82492\n8276 24810\n14007 39414\n6077 48358\n89600 99439\n14063 65532\n17706 41200\n70070 74617\n43983 95098\n17160 59244\n69628 96429\n30820 41647\n4721 46055\n53316 76714\n64410 93729\n5666 93139\n24168 96418\n32978 54078\n19789 55802\n20088 42375\n78814 92534\n19653 54037\n35553 38769\n43123 88541\n9669 90516\n48920 80975\n78148 82787\n5026 72305\n13861 71997\n69946 84339\n26359 55359\n56279 84764\n48113 67707\n4151 30442\n46533 49149\n37619 49092\n759 4417\n67154 96368\n75037 88818\n72357 73223\n80490 88813\n22454 88185\n42623 61978\n11701 57975\n61814 89567\n14814 38388\n8260 33356\n22552 37790\n33559 86533\n3426 18646\n18820 31837\n37436 81146\n2521 58394\n6578 61277\n13570 94407\n33379 83656\n683 74991\n9738 98529\n43120 43873\n25057 26374\n73790 77867\n22012 56522\n58450 79123\n747 19533\n81316 98331\n14563 79158\n65820 82708\n53492 58956\n52287 94545\n48359 94461\n14364 33926\n63625 86700\n7128 34861\n33423 80922\n28030 79760\n1479 17905\n2543 26839\n25438 96799\n22069 33012\n25271 89527\n1308 10081\n56267 88012\n51518 95417\n71304 86407\n58454 70408\n9866 25370\n40549 81582\n1238 60717\n57295 81831\n62206 94672\n53843 80855\n65232 74106\n2402 41757\n39397 70090\n16999 29996\n62304 69308\n33952 85975\n77284 91505\n6965 56037\n49212 61602\n6541 9560\n19067 24274\n68622 84187\n47300 72150\n8422 68141\n6937 29201\n14893 18910\n53481 57789\n55739 74126\n65046 97299\n95673 97460\n62345 69087\n18153 68163\n33412 77475\n35545 36043\n61569 63749\n16425 58570\n66109 89241\n20599 51802\n23619 90390\n32596 74041\n17651 90361\n21971 34014\n8597 62466\n18505 86958\n27618 67845\n57231 63401\n42827 67910\n67385 85949\n86114 97686\n76385 93611\n30307 91265\n41040 56421\n22234 47819\n36023 49419\n9771 63897\n26487 30673\n61219 71129\n45584 88053\n42876 55753\n9581 84849\n54756 79731\n16843 68448\n27961 80974\n1897 58969\n764 62951\n3673 88170\n11042 29583\n35266 69698\n8114 13354\n11123 63607\n33862 44674\n63326 83492\n21997 59657\n26161 38919\n51728 60344\n61287 78337\n3919 36458\n48859 88986\n26193 75318\n23700 59242\n15612 34072\n46398 51789\n21088 75646\n4508 73222\n81111 93118\n13386 16988\n48600 61816\n11691 68846\n28671 34396\n78851 79456\n18491 52803\n31108 89405\n1487 89267\n12614 58554\n49449 80843\n51852 80214\n3278 32540\n14284 85671\n13699 34330\n40967 91618\n42665 98002\n41707 84085\n2911 13098\n11605 21553\n52123 52697\n16037 95690\n8754 13073\n68158 91214\n40610 87943\n10931 95907\n21888 35178\n47327 85337\n1143 1737\n36328 37647\n32642 76807\n74602 91529\n51140 81800\n59433 76404\n50114 70344\n4707 95562\n85201 90246\n63922 65650\n18405 92006\n7514 50882\n54488 80173\n59570 89803\n23760 42792\n85292 86183\n58830 84155\n11545 16597\n42071 43650\n9587 12958\n33323 79839\n27116 56844\n87469 92813\n4263 68388\n18346 83496\n8229 47263\n73019 97939\n16914 26466\n55531 97291\n41341 90004\n50048 66401\n49699 86779\n15900 82657\n20143 46297\n34180 54503\n28513 71373\n31805 63417\n67714 96030\n16734 40360\n5297 33232\n2605 92207\n13978 46067\n2199 72434\n7969 35274\n20227 24810\n32434 45535\n589 56814\n74556 87488\n80001 91185\n4765 23570\n67236 69000\n199 59380\n28922 74255\n4668 22170\n30531 39233\n39346 60478\n14010 36831\n87361 93820\n41676 94021\n14459 16937\n29649 45054\n26182 62008\n86813 95361\n51194 95174\n19579 67545\n30847 69591\n2126 72935\n25706 67964\n70534 82339\n62991 85698\n30149 32035\n9002 23404\n13456 69110\n18610 90489\n19033 82555\n96903 97325\n33124 64378\n81590 90780\n20413 59260\n4524 42770\n49876 84232\n4115 27829\n30605 46939\n40210 48704\n62319 73894\n18742 57150\n25873 73431\n64627 66821\n13335 36270\n39911 99840\n3820 52089\n28559 53987\n82494 83754\n36795 43189\n17493 33427\n47462 74745\n77903 93403\n21240 40971\n56228 63499\n77657 94943\n34225 37558\n33566 98035\n27703 49996\n6554 92231\n7957 44792\n34521 53327\n59306 61700\n14555 47530\n26661 32321\n1510 18426\n34751 89226\n2629 93710\n30288 54992\n59176 90541\n4275 70474\n6197 23330\n5639 41495\n43750 62722\n3876 12429\n1590 85137\n20883 72211\n16081 40000\n31274 63471\n4711 62926\n15086 60963\n39911 91837\n2035 93133\n48910 69507\n41736 84289\n53293 68959\n29233 49779\n63829 80694\n413 94650\n54796 63087\n47468 63374\n35489 44835\n21581 46979\n43161 88860\n20042 67453\n59769 75858\n46239 88619\n29514 37695\n3983 8710\n15423 39511\n54887 62754\n37384 59932\n43058 44047\n29239 77791\n39978 88956\n49083 96327\n3277 20932\n44516 53103\n53605 72631\n45565 59471\n17350 37199\n12062 28776\n90014 94646\n27635 50167\n49541 99240\n61849 74956\n95288 98154\n63631 80395\n31195 46643\n7869 38778\n42440 98933\n80887 87690\n27981 97863\n87912 88718\n94478 97964\n48332 60242\n2639 39510\n2081 92213\n26564 59520\n60848 62580\n76422 86464\n12410 46610\n81430 97434\n27370 65583\n77158 93302\n36513 38128\n53351 62390\n32369 94304\n42142 65888\n44330 83217\n206 34398\n51088 72683\n21364 95180\n54682 80287\n65844 80472\n64063 83291\n50953 72256\n6382 96692\n5734 84133\n21509 86290\n65198 84105\n20423 45374\n26994 38604\n71121 78126\n46104 65440\n16815 84926\n33161 80558\n6759 48720\n43551 52426\n2826 65485\n29924 95761\n20624 51077\n54906 81605\n56002 56023\n16082 69361\n18510 84401\n82576 87293\n17579 58579\n33373 60379\n9003 46848\n56609 99356\n13101 88346\n3465 62076\n2783 99202\n55702 67607\n41375 73038\n8884 59704\n13451 31898\n21630 65048\n42191 96865\n56557 76823\n65935 66802\n39679 62161\n27626 44294\n40901 58972\n23901 88822\n18069 24108\n20901 81894\n49147 77019\n62303 71471\n22203 64380\n31123 53348\n21938 44611\n35571 43987\n490 51397\n20118 68610\n33924 55107\n13851 39078\n33061 46705\n6949 35440\n64755 96315\n63519 75045\n68223 68756\n60580 90752\n18126 30042\n643 40814\n23375 62187\n46083 93801\n2714 68051\n9857 16832\n16942 89862\n13771 32415\n27451 56702\n17084 17391\n63493 83456\n45265 65814\n49290 73390\n2257 17664\n23156 27306\n5474 64352\n57326 98101\n47766 79833\n26910 92959\n28600 43944\n30227 69027\n26262 80498\n25778 68074\n68040 95685\n29854 66558\n13757 74019\n85815 91692\n4665 53377\n51004 69034\n25670 71759\n11468 48145\n71164 75184\n49694 86669\n57017 70825\n65331 73732\n57123 80281\n44341 50611\n41318 49555\n14254 60967\n74546 87160\n16991 37261\n1915 4973\n31593 99216\n71974 86582\n28336 81772\n15144 20627\n29587 98594\n16337 55249\n19514 21775\n52513 90008\n36655 51366\n55087 99374\n34858 39178\n4851 38679\n5773 56413\n40322 98554\n6069 73757\n26943 35025\n43520 79199\n35437 54231\n21921 91879\n28246 53434\n50989 83914\n35112 97787\n13396 47092\n20704 21387\n58514 92484\n48597 65657\n88343 94274\n37458 77269\n58426 97638\n35403 86874\n39017 79433\n23079 51248\n42152 91491\n27168 70263\n57845 61872\n33659 54411\n46880 54265\n42069 66340\n51375 83062\n18550 22018\n20108 29986\n66385 72723\n29800 37965\n62844 80864\n83049 89639\n49449 73535\n41154 71421\n7087 32264\n36232 66395\n36614 40451\n84730 85122\n5146 78247\n53668 62735\n39385 56883\n89786 92707\n8028 77966\n34126 56639\n20474 26509\n85034 86582\n4940 93910\n13224 69767\n9775 69021\n70018 79202\n62461 83459\n28404 83803\n1025 32323\n31170 64605\n79486 81299\n30301 64203\n38762 93457\n6926 43141\n30261 32928\n18974 21830\n6395 14605\n39347 62746\n23672 59624\n4710 43906\n12035 40528\n66962 72015\n91837 97935\n19041 91717\n25929 39543\n52639 62697\n27148 54454\n19987 94322\n8175 96185\n48460 88451\n42128 51646\n13487 58464\n626 56011\n70484 72518\n24007 92039\n19913 78583\n62204 62500\n25725 40240\n47876 90788\n29609 45704\n42619 52036\n15241 34915\n7585 71537\n18753 60635\n37471 87750\n10184 90618\n46458 65361\n33782 56496\n53725 74809\n6464 20161\n13412 83003\n11860 91733\n20469 60934\n82317 91904\n8695 36936\n69831 83393\n6995 63719\n4301 11555\n63896 79446\n23543 88675\n20731 39476\n87642 94979\n8750 40742\n5216 82591\n4510 81124\n17054 45068\n1712 32856\n30782 73751\n4250 84239\n26489 48332\n46862 79959\n11099 53485\n5663 41088\n1368 67903\n5506 69546\n22531 34633\n26373 84509\n5346 11826\n79589 93012\n2411 53403\n18691 24750\n32580 96051\n49654 65771\n14827 62297\n47791 99900\n11261 80646\n41631 57810\n26785 39036\n38517 83397\n5444 46908\n43674 55560\n27772 83810\n44239 80760\n28557 93871\n5512 61557\n6852 8216\n54994 60315\n5120 87182\n51520 94611\n17409 82505\n32051 66682\n15945 39576\n20758 28290\n34981 68362\n58396 73552\n36579 99900\n67780 76665\n62276 63926\n41256 62408\n90321 90361\n45517 49792\n69167 87978\n69872 75414\n23887 59737\n39516 93205\n12962 93095\n35257 66077\n44115 79380\n56937 82276\n26755 58370\n7222 92420\n21981 26375\n71385 84707\n25021 30910\n51211 85895\n1233 76108\n22304 88899\n30673 77124\n226 26669\n33494 64026\n33196 87622\n86582 92647\n18119 59774\n48084 85749\n29998 48399\n39612 48370\n19163 29103\n54147 56997\n10875 69312\n77413 88155\n25873 68264\n7392 99653\n40040 50772\n39753 66410\n44821 75786\n22260 33264\n9115 29635\n7246 87806\n56948 89484\n2540 44485\n4542 94168\n55142 58329\n51167 73696\n17986 46973\n4205 31505\n29980 63885\n21753 28285\n21895 44189\n26011 32911\n33235 60521\n17812 96001\n37243 55847\n48863 93205\n7780 84889\n24432 87407\n15734 44532\n28748 56049\n19427 95233\n28917 65626\n76073 80054\n54083 98662\n28746 70378\n77081 79775\n30400 42159\n94014 94322\n56773 86355\n26325 51060\n38689 64141\n18972 71750\n73866 95226\n32673 42320\n27574 41202\n50927 95662\n34924 82531\n68282 86144\n76405 96318\n23023 56592\n66717 77095\n13329 51625\n33396 62560\n62779 75264\n75453 99065\n22800 99939\n2420 60705\n25666 28844\n16990 24930\n26772 48900\n25384 38686\n39504 82612\n19500 64638\n39072 63942\n90525 90667\n46068 86297\n29934 66184\n10590 64716\n9979 83298\n65357 77132\n66694 93760\n4406 4977\n16999 87129\n49920 89857\n6124 65925\n28505 29610\n224 94884\n11355 73676\n23990 27686\n18975 51874\n23382 40768\n2507 46342\n66212 85161\n21550 82473\n19192 65643\n6739 47205\n17189 80809\n27662 40436\n17602 95537\n86304 89108\n47283 70566\n34156 68659\n1247 70992\n60927 62012\n9514 91066\n35551 66077\n98138 98402\n5241 62764\n2831 41649\n5214 43541\n37078 79809\n17106 77194\n2026 73403\n32530 65477\n9066 29269\n67495 77733\n30775 71958\n41398 78294\n31444 90264\n62805 80632\n38938 42493\n14682 65414\n67756 82238\n33893 96839\n25316 58283\n30281 40931\n23483 93597\n30025 51569\n20481 92079\n28089 60826\n32932 64977\n37939 41078\n26965 52401\n56614 84105\n52863 58377\n19201 31735\n32745 66963\n65607 83622\n16453 20724\n61231 62493\n33259 94174\n22441 40222\n63179 68274\n73281 88795\n36824 82157\n10491 52336\n9838 92087\n45597 55032\n21845 50972\n57353 93164\n59671 78002\n53988 59099\n30396 76367\n78002 89055\n34830 68368\n72796 83550\n12417 97561\n13239 51418\n85250 99597\n37365 49193\n62081 98215\n15741 36966\n78311 97370\n14610 46195\n2029 59949\n7530 32667\n104 60321\n9694 79498\n69336 83670\n21556 76366\n40101 65724\n84106 90250\n48919 51305\n17102 93109\n4266 17006\n64683 71856\n26657 94638\n3458 8161\n60150 79354\n12997 44384\n31540 79488\n24468 76953\n34586 69152\n2600 78793\n38489 61155\n24981 78593\n59783 81235\n4097 75657\n51117 75010\n75486 86721\n61995 76754\n32105 83657\n12718 69235\n71154 71902\n27700 46011\n41498 86698\n78115 81803\n42270 64341\n53016 96300\n36714 69637\n77890 84961\n13730 62470\n63893 68234\n48693 69612\n19665 32050\n75519 76141\n58308 65621\n48768 90395\n20810 79284\n50861 81989\n78363 86708\n19372 70375\n28820 97969\n5930 21897\n25798 53341\n8447 39345\n40068 68792\n13243 39682\n55454 91309\n10378 61767\n75703 81430\n8377 85136\n81042 90153\n57621 79939\n89025 91958\n14906 85674\n39178 95576\n33909 95096\n4759 82121\n1021 97852\n12259 21352\n34955 67598\n26600 90548\n9291 25640\n51559 61741\n3281 28274\n34737 95519\n8336 65344\n11138 99070\n23015 91998\n80107 96168\n23254 67311\n53932 84451\n63334 64938\n41899 52115\n7921 25255\n75040 98549\n55128 71170\n66810 78767\n5441 28041\n1328 38030\n64292 91276\n86421 91398\n22478 88967\n21309 23272\n41288 81131\n8588 86873\n63518 80959\n16747 95083\n2200 7527\n25938 78672\n14749 45158\n24140 90550\n93907 97587\n79510 88580\n53961 81361\n4559 49343\n38510 83418\n11758 72617\n72885 73577\n56291 87903\n48158 54787\n51273 98094\n29168 87139\n78775 94655\n28491 33280\n83937 99461\n18243 65050\n2763 11878\n12461 43900\n13458 15204\n42732 78542\n60294 63466\n8582 24606\n28389 49190\n6492 75921\n54179 68500\n24410 29532\n19990 31735\n33623 73378\n33034 42247\n48826 53925\n47753 76050\n84864 86452\n21454 76415\n16179 91146\n22667 26401\n44248 92186\n35433 69533\n11041 21620\n17599 86417\n21572 87768\n9283 94679\n39089 40051\n81306 87641\n1805 84596\n50372 60630\n53337 67629\n2793 62096\n7765 78343\n5379 79054\n16000 44254\n320 37746\n18821 81823\n29249 82117\n51103 54717\n276 39599\n10999 42022\n13085 23680\n23296 53692\n73884 85602\n37154 80331\n9154 69049\n16310 53414\n6810 95653\n78248 92398\n31965 82373\n42354 79625\n80216 89879\n6944 59482\n15441 73520\n78414 93350\n24598 47154\n27708 93137\n21569 87032\n6064 30147\n16195 33001\n61750 67607\n2064 23097\n26096 63388\n21551 77626\n13440 22127\n5942 9650\n17065 67535\n57841 83763\n7242 44339\n21505 57359\n28186 69628\n70702 72775\n70397 87240\n42783 70623\n3307 98219\n89749 96459\n18703 79110\n25890 88175\n81401 92470\n17450 19274\n8465 54664\n65050 73628\n4849 41579\n10294 15887\n34318 88027\n55430 58398\n20587 87162\n34199 90230\n17973 79459\n5218 96331\n32118 97616\n85861 91617\n7455 68807\n34709 71543\n24404 46833\n19727 35746\n11769 14351\n13748 82396\n39897 86777\n35963 57730\n58726 62055\n52827 66744\n31491 39983\n8802 84423\n65653 79088\n52358 57823\n19397 39847\n6557 65871\n26418 75439\n64929 76126\n34413 99678\n13769 16091\n69928 88010\n26359 34628\n25792 64938\n86913 91951\n46851 74004\n93242 93856\n13881 62106\n1560 22679\n32731 81338\n42363 47826\n50237 50680\n64634 99516\n14899 27192\n61648 96715\n2190 87776\n78307 84510\n2542 7868\n36528 37524\n72539 74355\n22792 68829\n44895 64188\n28243 40169\n20132 30431\n23954 30958\n1166 9998\n50891 95498\n18780 39661\n14237 21766\n36325 86665\n71089 73208\n6492 50372\n4268 88511\n7557 98765\n96938 99116\n57469 63287\n7084 91606\n3545 95617\n13961 80147\n27774 74767\n7034 70245\n16581 84432\n28080 46386\n59973 81654\n5170 87451\n39038 93500\n73316 89776\n76522 82619\n6072 42483\n10842 24471\n41370 98954\n35957 58861\n11652 80012\n26371 34217\n53180 63854\n321 1028\n62635 98963\n87309 93315\n18836 67251\n11248 74809\n84701 92064\n65622 99585\n9932 24428\n10280 47967\n3846 21134\n9053 60122\n48761 96931\n8418 71643\n58258 64630\n10424 89137\n82198 95607\n77879 98655\n46030 66639\n50154 66678\n2022 35020\n36074 90725\n14709 96170\n44961 75404\n811 13968\n69717 73405\n44425 44510\n22905 51175\n46119 50686\n70059 80869\n11095 52654\n34617 75106\n34280 90672\n21033 87048\n7530 31189\n13117 75386\n5048 73827\n1347 23287\n33149 43462\n59860 68510\n77986 81518\n42913 71332\n8719 99849\n41833 73118\n52150 99583\n20149 67881\n22661 78831\n94676 97000\n84701 95398\n2899 51049\n12618 60830\n79616 97412\n18534 63461\n79073 85448\n60507 69594\n19831 78040\n36078 89690\n8570 34740\n9695 38335\n38767 94362\n34227 71684\n50259 74468\n39661 95731\n90589 99723\n38834 49073\n3746 53108\n58974 59265\n8672 20465\n11419 48300\n55864 79603\n51352 66791\n26607 58645\n79109 89081\n6827 61122\n67203 70257\n35157 86220\n32131 87738\n15165 61998\n11048 52813\n48714 80187\n23119 71976\n42108 82186\n51648 74179\n1095 58780\n56939 89316\n31950 38963\n4617 12407\n14467 19885\n3746 89546\n14932 83635\n6124 63401\n54106 65228\n73669 83385\n12188 71686\n23314 95291\n35821 72300\n23276 59105\n21367 30920\n48451 66871\n14384 54623\n9584 38623\n820 73345\n48811 78065\n9225 85060\n85440 95818\n42323 49077\n14502 87172\n79664 98526\n42488 80820\n15827 91135\n74114 94740\n63151 86423\n35612 62378\n62017 95599\n22104 74930\n58701 95813\n15223 34047\n7850 78110\n32754 94068\n74988 76704\n14259 17975\n32160 35166\n27462 52621\n90310 96563\n25974 37567\n31301 98669\n12864 87273\n42803 97717\n44518 79801\n57138 61812\n68707 73145\n1027 54498\n23178 83912\n1746 42443\n5685 63410\n55686 72197\n4009 45638\n22273 83178\n37280 94481\n38074 79726\n52839 85937\n7905 81566\n3347 3930\n86003 98731\n22004 41577\n50769 99954\n7584 38674\n47511 93225\n57049 87418\n59527 90604\n19379 93929\n6114 85593\n28370 29155\n17468 64227\n37123 92363\n78534 82148\n43630 56860\n3256 68350\n5289 60198\n15913 64113\n20790 61385\n6988 25880\n16865 35153\n93488 97782\n44082 44522\n31536 91040\n10538 25802\n23030 53835\n34483 58358\n44499 92910\n57261 86481\n53402 63124\n91691 98942\n8108 88173\n53957 76073\n5485 58734\n95973 97002\n41148 60708\n46264 61914\n55383 99476\n33436 70036\n13044 92366\n71326 74382\n19447 95774\n42357 87657\n11484 36443\n4840 75719\n30094 38622\n16111 33997\n51528 61980\n19227 44128\n2808 30614\n493 31874\n51972 68279\n31773 89621\n1323 72360\n62039 93891\n22898 30257\n51800 77992\n23938 69348\n72 76875\n74048 82868\n24097 34126\n50693 65271\n39134 99343\n18002 25154\n11244 74290\n4577 80999\n16339 20096\n87591 98090\n75501 94934\n53562 86967\n73481 88145\n14471 92395\n69238 74686\n70198 84741\n38585 67957\n43528 54917\n37401 82154\n9433 65112\n66208 86544\n46044 85570\n3327 20288\n14675 83622\n8461 88856\n31160 63167\n7508 83019\n3628 24409\n26619 90474\n28377 48190\n5674 63996\n12887 82370\n7000 37519\n10511 20967\n7645 37657\n21643 29373\n12595 68682\n69728 73477\n43022 88086\n25868 42384\n34724 94057\n8387 95092\n21698 84228\n20872 78683\n31942 57584\n27299 40224\n51406 82664\n56039 93137\n56343 67354\n88848 97039\n22414 66289\n86346 90005\n27641 60852\n25272 25893\n24760 54221\n47559 88065\n19036 42466\n33435 56888\n32612 62138\n1064 24177\n8098 32997\n41487 49271\n66602 95882\n29317 95644\n10820 53652\n56556 98362\n5355 65111\n43347 97815\n45503 45778\n15627 46632\n22033 30771\n39330 62295\n9749 97930\n17531 64943\n67522 69005\n48519 66781\n16601 90482\n53016 68972\n3142 44050\n95849 97735\n25305 75558\n43321 47252\n33333 52977\n2555 44737\n14858 73190\n25757 53108\n1329 4605\n12169 17254\n36668 84623\n65762 86767\n11873 71294\n55945 56088\n30826 34655\n3106 31697\n7928 66765\n36758 75480\n88114 88432\n23129 41336\n64828 78193\n744 85480\n75087 94995\n7400 34950\n6579 94216\n3386 5667\n33806 35996\n24766 71148\n43007 49710\n52786 90950\n15507 71653\n1135 77814\n38688 93038\n52868 61640\n32522 83817\n24642 97786\n5977 50535\n29132 49102\n11978 40964\n62014 80144\n4937 96862\n23954 65427\n6987 9421\n58859 92380\n71002 98571\n86574 94607\n22707 71789\n80779 89662\n24857 93526\n57593 83739\n14102 80345\n20479 21431\n38416 72627\n58684 68867\n48622 55000\n37742 82739\n21948 73441\n40680 69449\n57610 59927\n58763 92789\n12368 56179\n28371 91321\n46691 58348\n48475 62376\n58916 96166\n78547 85482\n1761 52605\n19228 21116\n63593 83349\n71950 90375\n5560 6031\n17112 64033\n38736 82562\n52213 52515\n29678 35127\n10049 97230\n11562 34146\n11051 68619\n39742 58009\n11669 94168\n13921 45789\n83358 92205\n63244 93317\n82529 88661\n49075 72814\n2764 69258\n3224 96103\n22365 65894\n59838 66481\n57118 85180\n62163 77130\n5137 54847\n24171 91741\n53382 72156\n2123 38285\n7102 47215\n27525 43590\n36085 37588\n67062 72926\n17466 94407\n24385 76371\n515 40287\n22422 76679\n29141 62542\n19026 48751\n34018 82396\n43458 46120\n56169 76430\n88558 89578\n65317 92932\n56461 87180\n19474 30286\n44989 87362\n56364 67984\n67503 74959\n13811 17932\n932 79219\n5476 41836\n47120 78845\n34353 42878\n16375 25652\n39280 60112\n40493 54592\n2979 93782\n50132 76383\n27256 48432\n67626 97025\n84477 88355\n47774 88116\n46603 52317\n18857 72523\n12050 12655\n45976 60043\n75369 81022\n7514 66908\n80649 96965\n17077 79664\n37740 67668\n52715 68853\n50045 58081\n47769 85687\n80335 88266\n1840 14625\n7698 58052\n11806 91240\n8758 36433\n12893 78004\n48078 58924\n27693 72073\n25271 37108\n7879 15967\n13836 16385\n45708 83493\n31494 96915\n14549 70439\n13190 41024\n21381 45580\n75011 76538\n45260 47772\n52085 59003\n22764 24079\n26960 84954\n16126 25352\n18588 27010\n42089 60136\n4442 75592\n14028 29710\n2129 29585\n11358 74176\n65872 88391\n6199 28889\n3596 29173\n11901 20965\n53705 56487\n52748 57784\n4172 10548\n42098 51377\n34928 90077\n12404 52653\n27218 62279\n13394 41642\n9071 96850\n19513 21826\n37379 75525\n54735 60968\n50480 70117\n4893 28795\n16069 44204\n37333 67260\n33982 42635\n16758 37493\n54590 55315\n49328 53280\n18355 23850\n29568 78468\n25001 63246\n4163 8396\n75467 94034\n68748 94340\n60935 88751\n27467 27904\n12151 55131\n39180 94122\n7261 84784\n40487 59629\n56698 81169\n4116 40077\n1045 26909\n63323 69775\n91692 91841\n13369 34290\n75411 87129\n2104 50835\n67688 88930\n19937 34349\n31710 68114\n19059 57109\n16528 34459\n13869 41359\n12343 39194\n7509 98738\n48694 49664\n3921 68094\n43517 64134\n62326 86432\n2220 87896\n45922 61609\n38518 57467\n2625 69974\n36073 98768\n28041 64137\n20156 26090\n26058 97000\n15116 33359\n59711 82058\n22425 48604\n12056 18090\n2198 7293\n43816 68548\n44565 78264\n79808 96814\n48843 54830\n457 38318\n16788 94786\n40737 54769\n2143 74577\n4208 53865\n8868 30807\n12007 88998\n30974 97820\n58069 58965\n23154 93293\n26391 91231\n43756 64573\n12123 46470\n503 86874\n2166 17768\n16718 64523\n13203 35396\n68814 69070\n52302 58158\n46687 47342\n7593 34244\n29551 85247\n12398 47207\n29140 53327\n68458 94147\n64225 80286\n50386 70641\n42488 65856\n30992 78075\n55873 85298\n19814 61243\n23648 55589\n34990 64811\n35677 70658\n42487 93074\n26236 92290\n32302 56932\n3311 43906\n9302 44091\n16142 94922\n55333 56004\n98808 99205\n38009 39185\n29645 78745\n48665 71153\n4568 45359\n52725 63799\n22881 56075\n47261 96922\n47021 50497\n65330 67384\n29783 84404\n32954 33280\n9442 99325\n60874 82332\n27010 97674\n12551 57865\n67326 81357\n37070 81297\n14023 16784\n58270 91460\n42952 61784\n34388 53829\n87561 89015\n33813 70491\n72631 94110\n42279 87792\n72022 89170\n67449 87306\n29693 44156\n36608 59613\n23601 83017\n14267 69082\n80162 87008\n17302 55072\n2631 4315\n568 41761\n42134 74905\n90663 91290\n8403 28148\n68320 85839\n4491 8717\n4412 52455\n66359 74035\n12436 73914\n82922 92606\n48621 50050\n52145 72434\n17956 24327\n168 51534\n9469 39036\n14966 89582\n7753 43811\n8845 58344\n2805 61620\n46752 57125\n18139 97293\n13270 88926\n69674 89342\n28541 71167\n66415 88873\n70679 92474\n24684 60757\n10177 13534\n1925 57461\n11891 41654\n51739 85732\n19492 64941\n25622 38280\n35637 99336\n73032 83249\n46689 66448\n2198 59639\n53176 88971\n25953 35516\n36278 96612\n11171 63450\n70631 70849\n3738 10147\n52912 92753\n28575 31465\n30903 57573\n65796 82730\n33219 70854\n25071 64712\n27063 34065\n4017 70193\n23960 36696\n36724 46569\n68328 78678\n71041 78731\n8134 45796\n9369 77399\n70846 95329\n12698 72207\n27797 59681\n66610 83717\n36122 86416\n49539 54162\n3960 21719\n87526 99756\n49658 96389\n12013 25508\n38466 70870\n5064 49750\n42826 66553\n46307 99714\n93670 94320\n27974 81226\n3614 33371\n14852 48145\n36094 75477\n11791 49429\n65494 99541\n7524 21839\n15032 96673\n34239 83511\n9520 23343\n15234 64732\n8598 49746\n8485 10975\n43804 62040\n20900 34086\n40348 48790\n8773 55623\n26588 96003\n36908 71421\n5519 63589\n5272 30315\n15662 96600\n27570 58243\n6044 78290\n11027 50122\n42505 58185\n63280 88237\n49644 70843\n79713 96919\n5352 36181\n99840 99954\n33906 73256\n43489 68523\n39735 52429\n8466 27154\n87027 91517\n75810 99280\n63055 90932\n19824 95905\n38689 40134\n2832 10454\n2128 76072\n9072 79411\n26796 52464\n49457 78744\n20409 78895\n9734 67501\n40817 50649\n30945 47915\n64446 73873\n71822 76629\n18482 50543\n4050 89025\n26944 39198\n42068 42952\n86260 98062\n29430 44867\n28005 38920\n20501 27294\n28042 35880\n54144 88304\n14463 97539\n8481 46407\n392 30398\n59031 68182\n40068 48260\n34157 59341\n34347 87828\n59479 99388\n713 78538\n29593 80622\n52000 86798\n62457 97418\n67131 69606\n28787 65289\n50061 81643\n48588 67744\n1944 77784\n26293 99704\n37546 46259\n21253 53856\n80630 97920\n64351 65362\n83679 95581\n25945 34835\n56166 61411\n25856 92660\n23218 41807\n35594 39857\n53502 62734\n51978 65099\n76406 91121\n25004 39148\n31324 81957\n17242 67561\n45990 73311\n6530 17347\n21990 58790\n9369 99031\n29936 38817\n22754 32790\n16972 39553\n79822 89464\n30675 84517\n87230 93106\n29009 42835\n74185 78208\n16194 47251\n2552 42042\n79877 82664\n64576 83154\n30685 54742\n26683 58653\n46524 70051\n2635 3387\n17373 18910\n76266 80222\n7154 77707\n11873 98011\n38030 89794\n22675 85607\n11642 93558\n16369 82674\n25412 83508\n1402 98597\n4284 47933\n66696 69783\n29377 99863\n54456 95092\n2057 76642\n12143 39287\n26538 35777\n2883 78117\n13281 41990\n16335 57289\n91066 95026\n10219 96880\n17124 20205\n59560 96558\n36029 38331\n12672 76595\n9612 94075\n51671 98459\n61848 65271\n57798 74259\n26572 87686\n50927 85610\n1278 63924\n19198 26586\n16533 49458\n10073 30010\n29574 96727\n42305 61875\n19165 62778\n24417 58908\n34432 42837\n41525 65656\n22349 83095\n15631 34339\n20536 29940\n83066 94964\n756 68380\n59128 64643\n17886 27444\n22854 69975\n2896 3706\n2052 95229\n23236 34060\n16602 74072\n62761 82108\n34180 55358\n18723 89012\n37954 71049\n51269 68043\n7072 16498\n23052 31423\n43533 61007\n68995 79082\n22555 43596\n35110 99433\n85929 92910\n20887 77702\n15169 48964\n80282 92421\n36766 71615\n49810 52310\n1360 17276\n33614 42896\n35433 39619\n4228 52449\n54770 57076\n77373 98447\n8444 82768\n67542 90708\n32582 70885\n51200 61490\n31869 79914\n26167 65448\n7292 45392\n12148 47806\n3571 12250\n10745 99807\n13820 93731\n26589 68063\n16719 69733\n80207 91990\n3037 53423\n92436 94315\n64421 82191\n2438 4112\n30984 69178\n54258 78534\n23015 35889\n3004 34072\n51137 82357\n18245 80356\n29982 80172\n30328 54138\n37725 93383\n32228 85381\n10101 23772\n25957 42406\n84993 90301\n27610 32464\n11526 50669\n5163 41118\n20859 50719\n14717 90312\n9700 68994\n10618 22254\n38119 67065\n22789 66851\n32281 89701\n38694 86381\n32863 53107\n19713 55777\n74748 83876\n79984 90813\n77281 98609\n63202 72512\n59660 78851\n17134 66357\n13594 42608\n3504 52858\n17468 70939\n17442 29564\n69798 87130\n584 83403\n54813 71195\n17929 67155\n56576 88271\n737 42946\n33298 79945\n285 27166\n18978 49508\n44661 73343\n8755 93491\n43014 56364\n47654 51099\n7659 82179\n6404 55604\n45059 54293\n87851 99925\n49726 93260\n25917 33142\n31226 71469\n40402 80780\n83243 90282\n9805 46896\n52068 99810\n50709 85881\n22747 44811\n56391 75182\n15154 51661\n20765 74732\n65332 68522\n58221 78274\n89248 93712\n42720 59290\n15432 18828\n6575 75629\n41515 83372\n24113 91665\n10994 19113\n4543 37292\n2369 14454\n40260 89855\n996 12745\n50601 63441\n23065 26135\n26546 98080\n9929 99391\n38156 98847\n28963 53453\n69563 90313\n23851 90994\n14647 95715\n6565 96499\n10531 68546\n67870 72851\n21588 57919\n44716 57669\n8359 33359\n24437 89138\n8849 44493\n69268 95441\n6951 25580\n58653 92746\n58368 98077\n54558 91914\n49721 71519\n14848 39875\n12944 45544\n46705 96074\n5626 39385\n79647 97927\n13301 73018\n6532 80989\n16100 26064\n50831 98479\n20087 21199\n17043 19729\n66288 82953\n31263 35740\n6259 88121\n15010 95745\n25925 89805\n11536 70092\n42478 59885\n31572 35225\n77496 95803\n25058 43997\n2299 90577\n65433 98321\n79767 83771\n57991 85082\n57912 77038\n31403 87066\n1879 65858\n19766 25916\n47793 90539\n56817 63800\n67776 80240\n61348 63363\n42779 66820\n67524 73568\n58667 64706\n43212 77358\n6228 41417\n37552 69436\n37194 41881\n33308 47641\n23860 34944\n24188 82378\n5252 8229\n19728 55375\n61584 89747\n58094 95034\n74738 74922\n41156 45914\n91169 99539\n6126 47625\n22312 73337\n15080 80021\n92035 97428\n11906 41983\n45724 70295\n9747 83247\n28649 41653\n73208 93865\n63974 96765\n71338 92300\n2135 61759\n2663 42438\n24319 35084\n29108 66857\n22536 85095\n12100 19458\n59126 77709\n81004 90637\n61887 98444\n17939 41920\n66421 88495\n25573 26962\n8674 15849\n38490 68386\n38182 75734\n49566 90980\n82194 89062\n42800 55103\n82337 98023\n40376 96822\n49986 93252\n10941 70539\n29769 52218\n23128 84402\n47516 71218\n34909 51759\n9541 33039\n37703 99187\n29552 57647\n3938 33412\n75031 95611\n28147 86863\n19782 42072\n33303 78377\n690 58951\n2196 25388\n71601 91182\n22279 33825\n48413 81932\n32977 91067\n42625 69314\n92539 95937\n96951 97508\n31875 93935\n33990 91740\n4524 87970\n60162 64006\n71071 96873\n66869 85357\n8338 39687\n27786 46913\n74656 94558\n1718 25867\n76546 88038\n60147 68461\n69223 86080\n51577 75016\n68172 89766\n33146 75810\n14099 52500\n14904 46946\n31537 98179\n72796 90180\n17641 66370\n49292 90994\n14454 72048\n37362 60628\n25260 88738\n33397 89009\n7079 95833\n10300 59784\n63 39303\n44092 98309\n14401 39643\n47026 63651\n21366 39096\n45089 57406\n39322 85347\n64761 96409\n25022 66620\n18806 23793\n67016 74562\n54404 71763\n57258 66990\n22918 32783\n38593 69972\n20616 36174\n7069 24304\n32499 96697\n77593 89436\n31332 36307\n35763 42515\n51549 52510\n17394 43576\n64818 80792\n67602 93762\n42543 61945\n34248 85710\n58244 64895\n38081 57940\n20342 73727\n22912 64262\n35379 78931\n70642 91960\n56467 85066\n29614 42669\n12367 87481\n60180 95849\n244 22311\n1953 22262\n46290 81342\n9738 50274\n55583 63055\n24084 96398\n24089 86269\n1524 52269\n39542 46871\n52442 57794\n19872 72038\n4222 31484\n22925 59233\n31667 46208\n26496 47401\n8682 24126\n20709 32411\n21353 93342\n51052 85914\n83308 96704\n3671 81063\n21766 57837\n26482 26657\n1826 89457\n33705 52847\n1866 95864\n50387 70485\n7322 71542\n54511 87668\n76325 76734\n30485 92161\n67688 88673\n5344 74405\n33171 51166\n11676 79552\n11930 99075\n8480 77092\n3925 66247\n6989 89653\n51025 58584\n32449 34838\n75129 77895\n45172 75735\n49358 95925\n6106 96430\n65475 94139\n42787 93808\n73293 77264\n21642 57867\n13859 31026\n11063 45247\n22541 53722\n9200 57463\n53736 72474\n29517 90815\n21272 54776\n78508 95273\n21672 28119\n3294 84220\n15874 47656\n5669 52207\n44213 64363\n51554 81907\n71753 99684\n75357 81365\n33151 92528\n11670 78467\n30296 44619\n7100 95074\n72054 96296\n33624 42439\n65607 77186\n50119 92496\n76834 88964\n14120 58631\n25648 58016\n26269 45770\n42712 75474\n11486 56596\n50113 53991\n7713 50012\n80156 90251\n13145 69435\n50587 93003\n22716 23600\n59590 77822\n33172 90788\n32098 60716\n161 19001\n59806 87971\n32313 45799\n52352 87592\n5857 38396\n44383 85588\n25300 35064\n31226 81188\n8281 97361\n36016 79557\n11456 21737\n657 41040\n70394 99421\n1200 20692\n15736 36987\n10261 90358\n25466 79898\n61299 77825\n13232 35667\n20723 71371\n359 8193\n4418 82488\n10985 28044\n37849 89304\n8365 44573\n25618 45988\n52406 87660\n46820 54847\n24558 89013\n4946 39839\n12912 87007\n37659 48237\n49958 82857\n26774 80323\n17931 34977\n45643 50641\n3265 49641\n12480 33683\n17492 95635\n36002 69336\n750 44632\n30078 72480\n989 95836\n40097 90609\n5044 58159\n38909 82521\n7852 72690\n13698 64814\n12491 68083\n24964 85674\n66741 92608\n4717 95111\n24334 55779\n29471 53623\n2512 81348\n67459 77470\n29396 51150\n7138 63686\n65002 88453\n11659 97437\n56334 59466\n55163 76880\n35895 36004\n9829 29970\n74839 91393\n72011 72476\n47685 94595\n75276 95609\n23660 63587\n44967 57168\n64160 99756\n20471 62226\n7391 78835\n48165 87986\n1874 28463\n26836 89567\n42281 54452\n67677 68896\n8033 91201\n56997 83561\n10387 76197\n22891 81333\n62001 93727\n31690 72723\n60412 70423\n71909 82288\n7682 75960\n15068 98932\n45568 74742\n56434 98916\n30105 45439\n10271 68566\n32998 72180\n35255 90882\n5690 81762\n20369 33671\n24637 35296\n16457 20739\n75618 93604\n46805 94638\n31355 57331\n43240 47926\n27256 88931\n11343 28106\n34877 90191\n15377 20603\n23553 72623\n13899 80252\n49910 74687\n4468 14969\n27027 95640\n43722 98373\n15548 85408\n61393 81065\n30298 62802\n48372 52093\n38633 81868\n29357 60816\n12249 16408\n28940 61591\n30192 30770\n17504 31364\n37880 87008\n67476 81759\n5173 42997\n848 81109\n36018 36338\n79984 85344\n20403 92254\n52308 99963\n51562 78406\n39485 46892\n54872 81927\n3891 68961\n12600 82355\n39689 59353\n60838 67950\n42746 67523\n11764 22554\n12317 71298\n29028 52575\n29959 94886\n80530 97130\n56738 72069\n30293 78832\n17429 90928\n41402 50512\n20473 27507\n70369 94911\n13822 33231\n35426 90595\n168 8144\n18972 35359\n13788 38493\n69391 90174\n42224 94564\n35771 45276\n14527 70369\n51290 75543\n31928 67971\n14010 22120\n7013 17303\n5987 28194\n30051 98650\n19257 88397\n34219 72325\n47691 97423\n6791 96919\n35412 99126\n74382 94340\n29906 31571\n50139 61425\n43259 90450\n63342 97175\n18684 41235\n29626 96572\n38664 68865\n32359 53277\n8279 73008\n23603 65533\n8786 52473\n7826 36088\n35340 92738\n17505 45402\n6583 57217\n11334 77768\n48745 52286\n55986 80267\n3564 76066\n26859 34164\n1040 65385\n39663 46542\n4826 38803\n88225 92517\n26333 36343\n43968 71480\n8717 53241\n50403 93237\n775 60062\n75004 89190\n27510 68286\n14939 34898\n36459 37051\n8411 16745\n6478 59935\n7631 77697\n58578 70834\n11801 26603\n7982 26318\n26110 33767\n5938 41334\n9780 43982\n45449 89549\n51627 79087\n19974 73780\n19107 94284\n58278 82370\n44238 59015\n90486 97770\n37837 62114\n66452 83752\n51125 86914\n5712 37081\n8024 26862\n32334 72038\n29382 47780\n69863 79480\n43556 43684\n4101 97705\n31102 73497\n73200 74102\n713 86577\n38887 50853\n2146 13185\n36202 36609\n54124 70496\n13324 55046\n65278 87181\n46709 59901\n73816 89313\n1486 36083\n29359 62029\n33432 46928\n33348 51615\n17471 54637\n33279 60108\n1338 1495\n19355 81303\n32100 33901\n8256 48121\n53135 88077\n42092 64142\n32950 72554\n50212 77275\n27010 82961\n20478 26148\n62719 82600\n4115 70890\n12140 62693\n12495 59575\n10394 74290\n31449 64281\n21006 75587\n36482 74430\n10678 95200\n58997 99768\n59515 81335\n23244 95577\n52105 85080\n20050 24984\n26317 74232\n51911 88063\n22166 75659\n9004 66760\n40131 66084\n33080 97952\n40029 70999\n71194 89663\n65004 92005\n78289 95306\n2128 88363\n11824 29819\n7583 22620\n739 53387\n2902 38026\n89689 96748\n41171 69300\n4425 9791\n60471 75955\n50920 70057\n42447 64426\n42184 50297\n32433 42184\n52007 89142\n51292 59628\n38796 65085\n56079 66839\n27395 77646\n27285 78989\n7220 23000\n39792 42813\n21016 27096\n47303 84312\n13864 56978\n82907 96125\n71192 74533\n24907 53784\n14635 65792\n33659 76337\n3318 54534\n35932 58917\n8764 57326\n48901 77033\n61338 62232\n50158 50667\n18211 44986\n23545 91791\n36531 81229\n77229 99576\n39683 49927\n32570 45522\n16689 84040\n2995 71794\n52286 81121\n28018 97947\n2350 98434\n922 92189\n14064 74248\n22698 51090\n1730 46208\n13693 25851\n38615 69599\n16620 50867\n4745 14820\n53029 81964\n43657 44243\n51459 57772\n41872 66468\n10684 53046\n17453 51888\n48996 91761\n34742 88573\n59153 96321\n2894 21904\n14018 99942\n37028 62251\n42091 63850\n29618 50270\n27049 69171\n3147 31800\n26029 77873\n14991 24040\n31865 37021\n76689 80768\n26063 60454\n44267 70016\n26877 61855\n567 90243\n15698 32950\n11419 87760\n56747 58977\n37039 94526\n12370 83810\n53290 87112\n68988 91503\n42749 66417\n40277 43372\n5939 83618\n19356 34129\n7252 24816\n36252 53182\n5282 66834\n51514 67793\n22448 72520\n52308 87833\n5187 77153\n7962 10397\n25772 86971\n23664 86059\n16933 78403\n3316 18064\n45434 70780\n22859 31921\n56121 68326\n71279 90095\n20401 26988\n63934 80033\n35007 47429\n10510 43694\n6339 68129\n31693 97155\n85610 96679\n56637 93836\n62719 95147\n32454 73548\n99 14356\n51490 84791\n56371 66760\n32742 55201\n1114 2649\n22522 56860\n49066 95036\n3801 27251\n43559 75764\n7722 91698\n60860 77817\n28730 49010\n73737 99964\n33534 35221\n28861 94965\n21809 58978\n48319 89581\n6780 26414\n9951 29082\n86797 92630\n34778 36864\n47493 77077\n4823 68198\n11611 53548\n5642 34704\n20793 39116\n977 5775\n17965 97521\n64853 83626\n15043 44103\n5961 5986\n29038 99978\n38903 54562\n50132 61984\n81052 82068\n22701 38432\n47257 60543\n249 58278\n919 94868\n15042 36368\n58309 91998\n72481 74276\n3127 92151\n28045 94286\n3688 84624\n22474 71024\n10188 88991\n86905 91349\n5569 85027\n27899 62883\n61900 71165\n91005 99005\n38792 86914\n19767 60654\n19380 61465\n14793 38317\n4693 38610\n20614 76946\n1897 5057\n7786 18165\n56000 64209\n1102 89651\n45342 89526\n45885 64842\n53946 72957\n85783 91024\n74327 84964\n19951 51107\n6320 27349\n22062 29678\n22052 54265\n8490 92194\n21920 55985\n37988 69071\n54380 58766\n28679 49331\n31792 54225\n64805 67548\n32062 57447\n7654 8692\n23328 46585\n23322 95697\n31623 77405\n14286 98258\n47356 54573\n37320 82568\n18552 42335\n93026 99240\n60304 81995\n17863 68107\n34057 74196\n72691 96376\n32208 36581\n79986 99752\n3438 30804\n61379 99986\n61653 91257\n13777 41575\n40555 41767\n30957 79441\n35008 67423\n17219 72096\n33223 73866\n639 74672\n30394 88549\n49401 59355\n40604 89191\n50672 58652\n11819 51346\n30643 49331\n31831 75461\n57597 85865\n19326 97333\n61282 77210\n16822 27474\n591 14318\n15591 74951\n26678 46052\n43742 86299\n42709 79467\n3783 19642\n16823 89796\n3652 22157\n54272 76902\n66994 69482\n10319 75936\n47592 83717\n50728 56043\n4726 76406\n2469 34516\n9915 93914\n14188 95826\n4383 76626\n38284 46622\n14683 32913\n14394 16087\n37989 66440\n41160 56117\n46343 65510\n27672 71567\n3877 29088\n16208 33874\n37118 76357\n8704 29679\n60676 82406\n4677 60907\n59106 66944\n6417 70446\n56343 78893\n75237 77078\n54541 63767\n29307 69372\n43356 49475\n3767 50412\n25805 39178\n38028 98530\n3113 11257\n784 17836\n65603 99100\n62003 67841\n45586 63406\n48057 49854\n59058 87092\n20411 95648\n34800 51001\n37370 52922\n1581 54252\n17395 36485\n40773 83377\n398 10750\n1724 44875\n49377 73459\n55351 69699\n71616 91726\n75397 92334\n7745 15073\n32362 65817\n6924 80827\n42352 49606\n27165 78199\n3299 92630\n25817 53977\n32328 61391\n42197 50983\n12482 92964\n54066 74325\n42363 87152\n15944 18857\n22941 32917\n18746 99693\n67497 98316\n54157 98707\n8279 14558\n5043 35266\n20205 98249\n7432 57710\n4151 24592\n22662 94175\n1131 30148\n44068 62231\n17610 60592\n28502 98763\n53172 87769\n7401 15535\n9572 80651\n33847 73694\n71796 79152\n85301 95738\n84607 99748\n40078 41265\n3772 55817\n68597 80886\n42971 49364\n27668 54294\n21807 28146\n60970 97978\n49701 88657\n55236 90709\n50593 93509\n23444 40425\n43483 70530\n47618 81587\n28281 28623\n52639 53676\n88029 96599\n50779 80753\n7529 11044\n62049 97071\n11678 83256\n51927 66305\n73351 84128\n81161 96405\n18665 33593\n18329 99153\n2935 78109\n11338 60571\n78978 80741\n2699 88347\n3806 39143\n33201 88324\n6435 34771\n47195 98086\n39731 39760\n78938 80623\n52458 88582\n35065 45051\n28925 91822\n44659 58498\n1722 59261\n57132 97198\n50037 57373\n66031 77569\n4677 51720\n16253 22741\n19472 95768\n58091 70001\n27124 69548\n3352 80814\n2623 96495\n9333 28178\n22498 84974\n13559 63681\n74161 76620\n32150 63183\n89660 98712\n2792 22788\n51151 51890\n6813 18146\n15698 66477\n8250 63063\n34902 60876\n38933 86542\n1114 56918\n36352 84203\n4964 93954\n24012 36389\n24426 97129\n16605 17068\n37777 39934\n31084 84535\n3600 86504\n34019 97265\n51772 55943\n44128 53282\n89761 93665\n12775 86652\n45560 51785\n60995 78459\n23063 23609\n22662 97753\n2126 4468\n430 44436\n679 63078\n72048 88528\n94200 96369\n24172 83312\n11163 15231\n62425 93437\n79561 80860\n19512 78376\n28044 39852\n16137 84774\n40304 65082\n3054 30297\n15665 43811\n34690 71797\n62789 81398\n14954 38076\n43012 44489\n38092 93020\n74897 75552\n15923 40848\n80507 85709\n69252 95779\n31900 63569\n5007 45418\n13689 45308\n15289 28897\n39914 68783\n86925 88335\n48696 89592\n9210 25020\n44020 90108\n23577 87853\n4840 76700\n82407 87055\n19356 54780\n13818 73902\n18429 42895\n11169 59301\n3151 80658\n7232 46178\n42218 52111\n84518 94242\n33626 94456\n33290 62295\n7036 28520\n10965 25826\n19686 29974\n43647 44795\n31908 70846\n34533 93205\n47896 87031\n26634 66107\n38305 56106\n3566 33265\n36254 40823\n13557 68607\n62497 97077\n26234 57679\n14814 46757\n20880 92172\n12345 39046\n19836 27703\n48345 85763\n7502 39762\n35348 78070\n79177 85331\n20019 80675\n35642 48193\n34039 74007\n50207 65097\n18 38107\n1345 97394\n960 32036\n16873 84001\n66935 69018\n57402 61387\n997 18537\n23065 67328\n19681 40377\n32276 60587\n1102 67058\n31741 40618\n42740 61146\n78065 98719\n28613 65930\n29354 34941\n7157 94266\n31353 53814\n44477 71934\n50207 75127\n33884 75852\n38244 46600\n4053 35997\n62622 67347\n13090 85434\n1822 30204\n11286 32545\n17930 55932\n17015 85528\n12609 63306\n8878 24640\n5706 72695\n12738 94109\n54645 88989\n28619 57149\n54475 69250\n28706 80081\n13609 62588\n8837 25633\n2364 37744\n22968 41727\n43817 49670\n19337 43295\n8819 12129\n13264 84205\n26761 74076\n3265 14720\n19789 48524\n19091 70951\n21541 75869\n6769 31049\n79275 98990\n59474 85750\n24651 71790\n77259 90026\n32643 36797\n28524 97075\n7297 17064\n16312 72755\n26917 47028\n65225 90870\n63689 70654\n4905 62694\n44053 97906\n21830 90912\n8829 9999\n62926 71952\n34399 88017\n12134 58837\n13720 77385\n7076 82843\n95157 99034\n2185 15984\n3175 85285\n10717 19480\n37305 83279\n72196 91598\n10239 19745\n41937 45573\n1738 84334\n40834 81505\n56991 69949\n36321 87473\n3508 80737\n19518 44043\n29846 78126\n5331 13876\n3998 36260\n18776 96221\n14453 96436\n8899 70665\n34119 52158\n25465 78334\n9887 74115\n12506 26977\n33523 78410\n72827 86841\n45344 97945\n14840 49300\n61748 76323\n6080 29987\n66763 84185\n70930 74001\n3288 72107\n6347 89172\n2465 10767\n65420 69482\n53968 87586\n49338 55046\n53520 77266\n29768 93685\n8662 89959\n67377 84034\n68874 87350\n27716 43933\n33571 78504\n13410 62111\n36569 44359\n44260 73272\n59025 77829\n78883 99567\n13906 91242\n30174 55586\n1934 40936\n34585 91626\n23505 58151\n868 62451\n59629 66498\n57744 96795\n20074 35149\n75504 91125\n65518 87874\n10310 33820\n8434 49274\n18301 95266\n12183 63489\n12462 29102\n35 48535\n21726 53889\n38033 71002\n22797 67937\n49167 81099\n52337 81973\n4996 95798\n33424 76731\n13723 72837\n8593 46809\n61858 91497\n23195 49947\n65293 94578\n14519 65071\n19421 32605\n85171 85665\n33122 95505\n12336 83165\n81876 91527\n4121 93141\n8167 94338\n82970 90859\n16073 22023\n17139 87281\n39293 77131\n19192 54407\n10951 13449\n33585 48707\n45125 76316\n12574 99208\n32866 57457\n12089 32048\n61215 77727\n65238 97318\n7250 31966\n222 62289\n43223 94071\n13047 24891\n8946 48698\n10231 22416\n16070 55650\n33507 70377\n34907 63523\n5050 29028\n9139 45057\n55530 76112\n42673 88795\n48637 65735\n14894 71307\n56546 75896\n71944 97856\n12660 61091\n11384 87124\n123 8445\n32653 52685\n54468 56773\n38376 63072\n34985 99435\n5923 13842\n35558 41110\n80534 85008\n12601 58810\n39283 69488\n20270 92850\n3795 41602\n75068 89276\n988 87516\n30739 58453\n56576 59573\n41358 76555\n3021 68870\n3341 7809\n29453 58840\n56961 80124\n15761 70906\n71179 90194\n18053 78308\n15869 92690\n1143 72717\n34395 42086\n12599 38819\n32589 98503\n38517 93818\n7352 14659\n27544 47063\n67794 87951\n30169 69082\n17823 94059\n4028 80690\n32902 85907\n89157 90224\n5468 81308\n47170 95840\n33915 83426\n51649 92629\n5041 96152\n5049 31888\n5958 61099\n16489 24008\n27846 76108\n27203 83580\n60024 99118\n17891 87155\n12400 96222\n40595 97305\n5912 96547\n41731 74958\n50250 57838\n1707 90816\n71577 75477\n26722 56986\n28625 82194\n12025 22851\n36558 67125\n58298 73177\n42208 86104\n11899 67871\n3797 59788\n49069 50865\n53578 94395\n3269 27050\n7195 41407\n15109 49626\n2582 35892\n18211 41880\n72025 86622\n63563 87092\n62254 78474\n4331 13696\n8763 13260\n27581 49020\n20370 24169\n24697 95635\n5554 97112\n35406 54976\n5016 37866\n34672 90348\n36490 74589\n33770 95470\n60492 62063\n66855 94067\n23115 30984\n33467 69545\n43751 68850\n12684 65330\n46925 99567\n9896 11740\n75374 86593\n20729 31809\n52898 71349\n15175 80714\n97688 99257\n33069 95847\n29472 78608\n24760 48473\n22572 29096\n65857 85853\n17009 54295\n2766 82325\n30850 35016\n21177 30905\n59075 92737\n21984 70203\n7287 90130\n62558 97793\n27714 53225\n62333 96888\n60556 98264\n6432 18341\n67155 86580\n22964 51007\n63116 94490\n74476 91504\n79602 85667\n12323 35343\n12408 66131\n29383 57884\n57857 72296\n31504 73862\n52768 70743\n25176 95105\n15489 20080\n9522 19065\n50888 90864\n13376 50569\n2660 37884\n33682 60201\n53963 62744\n13054 81073\n1168 56390\n84737 94816\n5435 28948\n46466 84270\n63447 99625\n44702 98367\n29590 96274\n6994 46742\n4319 64524\n91385 94446\n5163 32741\n984 82279\n16170 75017\n35283 84196\n8590 87792\n60118 94441\n68423 99471\n5767 35504\n22072 59067\n9398 10755\n72092 85606\n44845 47434\n31443 68334\n48401 72719\n58174 83378\n51697 97089\n11844 62379\n10905 94720\n49471 77084\n2204 13312\n85749 92743\n40753 41658\n10293 35210\n17880 88333\n8882 60889\n84496 90999\n32074 50513\n43713 93662\n11467 61382\n66281 98926\n24735 96084\n41277 80433\n15690 44206\n16901 24608\n1174 64946\n4152 45529\n18357 87041\n24857 31366\n5966 83560\n66164 88356\n13990 57242\n43296 51373\n18808 44493\n22639 94305\n59957 69199\n24899 69279\n28501 88399\n25706 34008\n638 11261\n26001 27448\n12316 60958\n1062 58165\n26702 81884\n17150 55181\n7792 12662\n2861 15987\n10958 82635\n32522 74025\n21213 39950\n26382 61634\n31678 91986\n25544 62219\n19645 47019\n60033 83607\n47131 74910\n51901 86563\n22420 54130\n55060 85106\n29671 67424\n78044 91849\n9937 44297\n10396 24771\n48861 79386\n41006 73834\n10987 45972\n30234 48561\n17626 79655\n75984 95032\n68640 87209\n40112 84500\n1454 72898\n6474 77882\n4539 34937\n3808 92496\n8366 42052\n16171 72965\n26820 40633\n1181 67753\n50530 52662\n33763 73308\n20867 21763\n53085 74778\n28503 48990\n3951 48624\n33971 49699\n1868 45298\n67390 71446\n6256 43132\n14595 72595\n1920 32031\n57597 70598\n35017 35624\n4451 74330\n24967 99957\n1597 2902\n63822 67807\n35581 92070\n6100 83773\n960 42168\n11110 42868\n50892 68065\n67245 98880\n23761 97405\n56412 80412\n70774 74259\n30519 38483\n12597 15934\n39422 41115\n96567 97039\n54359 94614\n52032 91703\n5278 78178\n29666 73132\n1189 19595\n78292 92738\n23256 90873\n20336 89257\n1127 36295\n64205 69572\n4977 69885\n10212 24117\n37326 54340\n86230 97404\n5201 45234\n8064 16866\n36316 61788\n16489 91553\n7137 18655\n26335 55081\n81480 87009\n59220 78560\n33229 68621\n45750 51989\n46962 79993\n31244 83613\n4481 85274\n4687 76175\n60196 66149\n63046 94997\n21623 60236\n10101 62238\n10913 58456\n24086 75861\n75894 76451\n31506 87939\n64211 66098\n849 13308\n26793 27993\n31986 40468\n36262 86947\n10476 46886\n54793 55311\n82165 89524\n12207 12565\n79293 98643\n37196 89054\n78332 96834\n33041 45439\n28482 73257\n47927 82738\n40885 44645\n657 47336\n52113 91310\n33787 85250\n56265 95714\n1462 38795\n14761 32683\n26477 63052\n41505 83789\n12305 20111\n42678 60347\n54128 94410\n34344 41352\n4440 36966\n10505 35669\n58109 84666\n63354 86614\n504 15671\n23576 96680\n22106 89689\n41277 46454\n61413 74863\n26219 50624\n113 36946\n8362 10347\n74429 92966\n26700 51446\n54658 76716\n12843 28028\n16381 27568\n57795 92667\n82233 99805\n34335 62479\n198 82761\n9022 61449\n9525 11283\n14327 72248\n23461 59347\n19509 79476\n45602 70699\n13215 90918\n5773 9994\n4919 56454\n25173 64382\n27096 53040\n6992 85790\n28336 39296\n6345 29388\n14015 36680\n58236 77301\n3625 17252\n76995 79207\n91598 92980\n4817 68738\n40174 66268\n18121 49814\n81762 94998\n40411 99307\n77287 86633\n37469 56813\n16910 69141\n13292 69347\n56817 68712\n6066 46269\n52902 76689\n41627 93336\n35546 90838\n45679 72465\n2355 30927\n14304 34729\n60091 97651\n24238 90359\n8849 49412\n15802 48529\n21090 25710\n56290 90494\n24910 83210\n1415 28901\n18838 39396\n66390 98261\n72075 73719\n13092 37063\n15491 84841\n8841 69998\n12632 45980\n21273 72609\n42180 92415\n75155 91093\n37927 66554\n4635 27292\n58480 87639\n88801 96586\n44 82754\n18530 63641\n28158 47141\n19216 39350\n18118 68187\n2845 73072\n20323 37337\n81955 83199\n93273 97602\n52633 80358\n58095 68818\n2037 34779\n10073 58365\n74888 97107\n73245 79311\n27732 54500\n3795 17241\n52348 86116\n21310 25782\n23800 92507\n16116 37446\n30789 63002\n8505 57958\n46131 55863\n57166 92143\n36214 68537\n25385 44178\n75528 98582\n44251 56898\n43949 46565\n43452 68822\n10839 64492\n92706 96804\n72244 85882\n24710 45907\n23371 97160\n55151 67936\n45206 81151\n13405 97918\n31924 43694\n75055 82141\n62355 63429\n91861 96101\n3313 10172\n37524 68596\n15323 40734\n36436 86113\n55976 73916\n16823 36929\n79314 81886\n9015 62816\n18739 65098\n24032 34807\n37022 72094\n64656 92027\n94 25283\n17205 32008\n23437 95235\n20422 26432\n62432 77241\n43635 96118\n31371 35899\n2729 63027\n66454 81526\n6995 24181\n27470 88342\n37173 53524\n38069 88175\n19587 65991\n42309 55945\n8964 40894\n23272 34697\n68678 79478\n86600 91020\n24707 92366\n755 88346\n17495 85668\n78480 84884\n74450 91336\n1190 5330\n343 31570\n10695 61081\n47081 76890\n70706 97103\n43369 91082\n5127 86905\n13438 57577\n22690 72648\n3109 33996\n32316 98790\n54038 86934\n26383 32475\n37298 39717\n53682 63784\n25084 89956\n14039 96975\n55990 74466\n2603 68578\n3347 95771\n3009 31848\n91533 98160\n12483 62757\n61674 87106\n36993 40228\n26332 88323\n78840 99921\n8597 50166\n32629 62644\n12998 33630\n29356 94887\n39432 91286\n18500 46536\n16871 86046\n44408 45976\n74448 97996\n7859 78553\n51587 69237\n24171 54988\n17169 65916\n18431 46068\n18500 35795\n235 15869\n13470 47268\n27900 67888\n13645 82171\n75190 87879\n30285 53036\n38623 63355\n45090 57639\n60582 63079\n4056 69161\n36336 84243\n2896 54277\n7509 68822\n28973 34980\n59929 84230\n28568 32429\n52160 69724\n31923 92971\n28554 44123\n52964 62775\n69745 85590\n92245 99329\n43176 85853\n9701 35020\n13296 61555\n66860 70450\n50877 51639\n49567 83988\n17739 47298\n19787 73869\n57433 67392\n6844 20844\n25673 34231\n20229 90822\n7852 9603\n11072 45672\n45924 52795\n39806 59293\n1710 12058\n31674 54877\n49534 86508\n29645 86095\n25835 84127\n72014 74368\n3749 70283\n51240 70307\n5030 61839\n29682 55163\n44206 72528\n50959 69154\n88523 99985\n17558 84289\n19191 45114\n3632 70909\n45147 74500\n31336 84610\n53851 59360\n50783 53181\n24161 58802\n47807 56198\n58073 89591\n30629 85725\n43738 45168\n9728 98498\n51210 85282\n57652 82123\n7668 42547\n19655 44250\n37719 94923\n35708 57965\n14806 18331\n28826 69679\n8839 56559\n29255 65285\n74250 96732\n50203 86655\n57811 83241\n43265 88607\n3221 67247\n23690 37465\n33415 48016\n65400 93314\n47932 83871\n46758 82147\n46415 71674\n77204 82112\n163 53544\n5055 62900\n6661 52524\n12652 28198\n52754 98887\n58657 81582\n73809 80310\n25692 80867\n22057 48752\n2036 49836\n31375 42118\n46589 91996\n32281 59007\n23083 25299\n1582 92954\n51262 94005\n14567 91247\n63573 87241\n30633 58615\n17667 34200\n57335 75709\n50242 83597\n67875 95391\n8568 25157\n33342 49807\n23679 99183\n27408 41369\n17737 64912\n71091 75736\n68151 97560\n4605 14770\n76306 86072\n72854 96774\n94929 96947\n90670 91353\n26942 67150\n2201 56818\n9867 84178\n61719 86106\n50401 79961\n5144 11629\n23302 82005\n4792 59573\n34298 81379\n10570 43183\n19088 41070\n13417 27908\n2296 60776\n42280 52665\n12826 82708\n18176 44789\n67483 78082\n38090 60459\n843 82615\n2708 41170\n56996 92379\n18091 37812\n23665 68561\n32506 74370\n75406 86026\n18535 40750\n29479 32516\n24328 53627\n39039 39631\n45767 73802\n40990 92148\n5568 40275\n31376 55233\n45674 67311\n21219 42222\n12749 25911\n5328 89672\n61909 81496\n46870 60798\n51401 70016\n58190 68273\n34953 93536\n4739 67363\n14802 17899\n71089 78413\n1957 62251\n40679 71771\n7682 54945\n57458 79389\n41336 74288\n12451 86836\n19502 69943\n39085 68822\n78097 81914\n73798 86466\n54988 91125\n22656 93392\n48253 72911\n12942 66700\n80991 93861\n1932 8193\n32119 96045\n32068 51283\n22166 99592\n38541 95962\n41960 89927\n17531 38755\n1359 3384\n16465 50053\n13696 96592\n74824 74980\n41853 49904\n62201 91454\n5680 63994\n42424 89051\n58979 86959\n26243 91408\n22376 91447\n75828 90994\n60019 98674\n34275 85482\n9357 95783\n33957 34780\n7585 62806\n44478 92247\n24626 75755\n41674 56762\n19276 61204\n9420 61646\n42893 83189\n4811 25037\n13423 61039\n81095 94046\n6394 19541\n21838 54908\n13210 86568\n15047 93037\n12604 88246\n10199 35062\n714 89909\n19291 81839\n31427 82670\n23221 26446\n68496 76466\n11394 69300\n57 53871\n14980 33310\n95801 99393\n21768 33900\n4527 22722\n39150 75560\n8515 26429\n42836 80716\n14140 81560\n4833 76199\n22089 62806\n38470 79437\n6726 90163\n5014 5806\n61923 95444\n26049 53832\n36918 43600\n4837 99153\n24165 69665\n41375 56883\n72748 82935\n37498 48030\n38390 51971\n13639 69894\n41528 64490\n11407 43987\n1139 49697\n29977 58747\n9190 77294\n1575 12256\n2002 17926\n45272 94095\n50838 82737\n1047 38160\n44713 47596\n20036 61223\n20664 95013\n22087 52337\n25799 82191\n8450 49142\n46095 54647\n38255 96921\n2919 48768\n8051 70702\n39836 80686\n6624 16513\n13334 58186\n57670 71353\n206 30557\n2782 22931\n15427 17660\n2539 9295\n65117 90841\n40290 77763\n20661 31614\n20403 95021\n31691 38941\n38263 76858\n53992 76275\n27031 42228\n10499 32015\n20973 65113\n23426 37391\n6758 64946\n57964 86899\n75616 80675\n7985 26918\n67312 97872\n11763 56589\n20429 85658\n3954 47740\n12520 85506\n72933 73701\n3752 72528\n64105 72642\n72867 81792\n6169 25878\n26446 50589\n12953 61845\n37784 83391\n25440 72452\n26795 71720\n5212 6060\n39692 76769\n35073 94636\n19533 88693\n87739 91482\n16054 94842\n40595 74894\n25901 94730\n36719 38231\n23201 30238\n258 22110\n28960 94082\n16171 54697\n14589 70359\n6808 60831\n32639 94893\n68667 81998\n39417 84621\n16766 51374\n15724 57444\n33542 50076\n10900 47640\n2714 35306\n59081 60775\n73881 95940\n35869 70487\n38044 49286\n20166 49859\n22985 93104\n78826 80971\n62570 66167\n12442 96318\n47414 49599\n24214 90815\n7091 74563\n69975 90899\n29954 30018\n19918 33377\n7996 80351\n51024 52666\n14503 81445\n45215 88699\n2832 80270\n56703 64257\n11974 71089\n49223 75803\n21811 42758\n37643 67595\n38150 63295\n53403 57263\n53852 92361\n3613 87663\n1939 62977\n5488 70581\n40289 88839\n71401 99147\n55479 82245\n40256 70820\n12943 18068\n39525 65090\n57171 99681\n4474 24369\n46824 99509\n845 11987\n34310 64987\n6146 7698\n75222 99531\n42380 51774\n32443 59936\n73821 86131\n33508 41973\n70518 80211\n52184 59673\n44461 51415\n13798 69761\n43322 58654\n81698 91623\n63324 95327\n60169 79892\n55888 89526\n33166 49889\n50169 51884\n28566 77673\n7988 16396\n1205 73984\n10642 41115\n65969 97210\n19102 95472\n26386 74713\n16362 52749\n17989 29513\n16689 63496\n36915 77168\n54047 76183\n35207 88394\n62592 67922\n70015 78411\n7412 52634\n25203 70599\n3305 29671\n629 84162\n34249 77637\n77829 87730\n33018 49285\n36671 84308\n61804 83533\n20956 42047\n75975 81558\n78805 87283\n78847 81652\n60044 84769\n68248 99781\n30818 53214\n35838 91136\n7780 93268\n54552 83860\n52319 99446\n62513 71904\n87050 96870\n22013 69953\n37752 52540\n28872 50585\n15596 20891\n45498 91693\n24931 70569\n38352 95394\n12937 76130\n25262 94284\n88316 96717\n27529 66533\n26336 97189\n19831 89413\n11627 79902\n33688 38946\n46257 67451\n8568 14121\n2523 29109\n5546 94250\n44410 63462\n28005 67134\n57304 78072\n9476 71140\n43373 87593\n38700 59393\n71374 79185\n3671 9863\n61758 90910\n46226 65215\n29044 45500\n61161 71936\n42852 45276\n12064 59272\n25630 81179\n9288 56228\n17589 36057\n23691 62633\n1373 98595\n55221 98631\n20565 24622\n7251 97221\n8517 81379\n43842 64012\n8561 22907\n59773 93773\n18387 65475\n59970 70735\n2182 76326\n32065 39737\n33793 88005\n3369 94407\n10579 20145\n44381 77511\n30314 37908\n91330 99528\n18696 34593\n31325 89663\n27476 99469\n54054 58230\n46437 69192\n22894 64704\n23792 86783\n36954 61606\n11436 33861\n62443 93083\n30117 34227\n41751 71091\n145 62698\n2954 16384\n40024 87120\n46334 95836\n67564 94464\n61228 61745\n58849 59646\n11253 77939\n3959 39754\n10287 43664\n25167 61671\n47306 75547\n38686 73788\n3734 66725\n20287 54163\n11648 21845\n1030 30231\n29836 70791\n5222 94188\n3027 35937\n56279 62525\n1965 93330\n7397 23099\n1391 68459\n6858 27716\n44247 56768\n49699 69569\n13857 91289\n68878 82092\n10907 85795\n16128 85447\n25115 95612\n31686 67276\n10067 21280\n45080 61159\n12704 23697\n26655 76861\n21927 75627\n37119 71953\n97840 99409\n44331 56059\n23087 54921\n88732 92552\n15418 41760\n56680 80178\n31252 38930\n37959 45945\n28618 52958\n40586 47874\n18043 24315\n8932 9103\n24378 50528\n59931 85316\n15008 27423\n34886 91024\n2557 4888\n33387 37092\n1146 55347\n51762 81524\n61567 71006\n33930 37999\n49319 86148\n39325 68398\n31605 58672\n73989 92106\n11462 12283\n21751 33164\n32501 84589\n10422 79038\n10057 59259\n28114 67595\n6880 53411\n10984 47594\n2680 20375\n16315 69625\n26345 87251\n5914 74424\n74971 80060\n11674 50903\n64671 94343\n21029 93090\n5252 61379\n1283 85706\n11543 71244\n3690 70513\n1575 77556\n21891 70455\n45398 60499\n54541 98639\n63210 75532\n42993 55946\n56151 83574\n44085 66710\n5004 84405\n53040 58668\n64793 99294\n74635 98332\n93510 96962\n24907 67404\n10962 58957\n26532 77902\n40744 56793\n57083 94310\n2406 55605\n49405 77095\n62066 86051\n23483 78655\n567 92029\n16042 77912\n25616 89090\n5503 99743\n28565 52298\n66448 89376\n4682 63546\n23529 83296\n27322 37229\n36297 46419\n45754 67929\n49204 53707\n15852 66166\n53396 79350\n34259 39933\n21048 71189\n22749 37484\n22556 74661\n35492 45619\n20390 95033\n44760 55058\n11465 23533\n38942 55522\n1121 8917\n31693 86568\n37495 59010\n44889 91323\n59270 86175\n56033 61206\n44439 59849\n14619 98537\n5929 25436\n52693 63508\n78224 79100\n22746 53178\n19585 80067\n22630 46256\n30532 98901\n44937 98673\n33048 99452\n44434 96179\n36058 70399\n18913 31257\n39580 85146\n46961 61105\n4314 80003\n62810 80063\n9197 54255\n42004 56796\n39984 81676\n44906 63870\n64275 88484\n2075 62575\n38716 63421\n6206 53304\n34223 39993\n24799 40662\n47017 87154\n22830 43449\n46148 88678\n35202 67565\n8904 45836\n48398 78712\n68325 85870\n27434 80315\n2604 44476\n14094 30349\n8726 46905\n2180 76721\n35130 93013\n13551 85080\n25728 92549\n40469 40696\n18954 66269\n33332 54168\n24971 46215\n41438 81482\n43848 91922\n58191 78044\n366 34265\n2651 99712\n3683 5016\n46512 97271\n18828 75093\n45543 69459\n11173 87800\n23831 45730\n3418 36656\n55280 64142\n19859 82720\n26593 65627\n17512 82564\n74099 97252\n17922 32242\n49568 65853\n23917 58898\n19696 36172\n32114 78658\n44904 84690\n58254 76954\n6077 16089\n66818 99845\n28490 52751\n88348 91641\n2932 60565\n16595 70148\n14143 53665\n432 90370\n39145 88012\n25057 25088\n25504 63852\n4413 68744\n22793 32112\n9016 50273\n11702 49677\n71226 85754\n36904 54829\n49377 82473\n30062 94054\n24153 92420\n18877 62996\n27819 94124\n4240 21219\n26368 95345\n687 52764\n4493 93977\n32736 81071\n80844 84856\n12588 54755\n38627 70255\n39403 86187\n51955 97926\n33920 93396\n40797 98758\n1846 17114\n3621 47834\n15205 53145\n16617 30797\n67157 68338\n61504 75597\n68236 70583\n4226 57609\n880 63457\n1237 33528\n70570 81355\n10835 89178\n12588 68313\n76764 99910\n31342 47436\n10789 38688\n39038 58551\n44406 73535\n59765 60624\n3678 23395\n74442 83614\n18755 21019\n37204 71114\n20984 91120\n5463 28700\n64137 72020\n85463 94292\n69167 86198\n86740 87614\n25936 94879\n9855 24599\n56961 64214\n4497 62198\n37952 87237\n18956 42439\n52421 76326\n44152 99207\n20717 44093\n80285 85698\n82832 85256\n7101 62233\n25493 52281\n6842 9360\n82834 87602\n14206 74943\n8667 25420\n5477 18784\n36270 83086\n25111 91156\n7899 88193\n79029 99859\n41728 66906\n24079 84961\n28826 34196\n24387 59491\n48246 71174\n13979 50938\n61162 64438\n70341 75804\n25915 57039\n18522 79164\n21299 23851\n9522 40793\n56681 65774\n12694 23315\n56304 68936\n57907 97585\n32783 62079\n85320 89582\n75049 86892\n74010 79813\n23392 46752\n5780 33854\n45144 67639\n17773 34926\n3484 8505\n46236 78683\n43240 73542\n20075 45595\n46921 71764\n57221 57277\n43948 65022\n43785 73401\n92583 97500\n26412 43626\n32514 69946\n88805 97464\n58010 89834\n45779 86806\n37709 84349\n5973 91159\n49160 88546\n17489 77124\n11423 97243\n81845 87921\n14673 74674\n7163 75175\n6054 63720\n32406 90017\n10066 41018\n77866 98522\n19854 60984\n86956 92368\n24375 81380\n46211 80816\n79090 98714\n577 53875\n19732 64601\n34020 48552\n38985 91078\n15682 58721\n52532 72112\n51833 57288\n59005 97286\n68109 80212\n35608 41901\n331 57113\n59290 96915\n9005 30217\n65021 88833\n27142 76538\n79416 85967\n5766 35769\n52367 96551\n45108 54172\n41397 51315\n50739 75626\n12355 76775\n30671 46125\n33772 59374\n14800 14825\n82443 98776\n37244 42186\n27949 76069\n12608 99867\n41332 46375\n75534 89095\n42764 84340\n91323 96129\n17312 58563\n27682 59626\n49926 97669\n10684 15792\n54711 75131\n40049 72581\n194 64645\n50853 98076\n20255 48921\n58224 62756\n46089 92053\n31164 55682\n66658 68019\n40259 79776\n54437 92968\n30244 44210\n48041 70726\n99057 99672\n39630 81895\n65298 77093\n44726 44950\n22838 51745\n27586 50181\n1038 86640\n73389 80469\n15948 39118\n40995 69363\n92319 92563\n56078 93243\n48387 86240\n48244 84277\n3642 5912\n51588 95678\n22676 23673\n115 10654\n86572 93617\n51078 79742\n70084 76473\n20412 47660\n5860 92711\n13226 30617\n14734 61855\n23539 57152\n25691 26182\n44478 67052\n56986 74332\n7778 84581\n6727 36050\n9398 58413\n21544 97001\n46829 80877\n88196 90338\n14277 45200\n63864 84159\n20167 24066\n6777 79319\n46015 74081\n67866 78226\n75054 87555\n53186 90951\n48132 55098\n60387 81002\n33946 67056\n3827 86760\n77834 90846\n4865 27292\n26197 43555\n59953 65101\n22768 46153\n33054 71696\n80251 91759\n10008 67682\n93464 94346\n1576 93128\n26909 38514\n47203 94388\n54377 86985\n1954 83579\n2008 14287\n43210 80422\n67001 89829\n1932 87296\n6197 56908\n76692 79569\n1948 34156\n37707 45840\n49674 92438\n24471 48287\n47005 95720\n25421 87796\n12163 46503\n88164 99821\n32408 66679\n45407 53769\n5994 46626\n34597 92890\n14981 87586\n45301 51651\n2488 5559\n24456 61494\n26381 48647\n82152 99033\n11946 46608\n40848 76373\n41093 61065\n69187 78091\n58211 84352\n4567 97302\n27117 69586\n70242 96380\n25465 32667\n31203 78081\n49879 53836\n3067 67010\n70320 84786\n56056 71946\n75735 88524\n18621 29334\n19162 80885\n36594 95723\n32691 60770\n41250 68672\n61867 78096\n34041 43968\n53531 63204\n19919 90451\n14429 40527\n8215 67228\n11986 79706\n9524 50357\n22040 35349\n42426 60374\n56114 88394\n8082 32451\n38135 93266\n9034 79198\n10511 28851\n17073 26536\n42383 46558\n53799 77638\n15430 21936\n55054 64240\n8991 41400\n56521 76925\n59118 80436\n2661 16841\n36735 38884\n320 36456\n20292 76094\n4067 18753\n2563 85146\n24918 55738\n12954 28689\n31985 47067\n36384 52045\n41033 95366\n13963 54990\n54798 57243\n33865 55484\n2090 88626\n23168 36082\n55927 78959\n5582 53969\n11363 67700\n82894 85862\n48984 68948\n26798 43571\n33668 35466\n30037 30799\n9022 27143\n23327 57632\n50240 78029\n32356 57189\n58299 88651\n48441 96848\n41105 91536\n43819 83779\n1998 16986\n36282 67435\n38422 78019\n48947 51517\n61931 90449\n1156 20382\n12493 27645\n10193 37055\n47264 82623\n39626 41599\n3923 75541\n16724 80594\n31894 86818\n3087 14743\n51777 62350\n5 59391\n25638 38322\n73212 74029\n80000 94191\n1299 15829\n7296 27501\n86635 88589\n24780 51203\n36177 44649\n65276 89879\n13327 57931\n9412 30316\n3353 92492\n1035 34854\n1559 9303\n85367 91122\n79006 98769\n7280 82655\n10426 94151\n50799 98131\n50521 90977\n27025 44619\n31359 64805\n5319 34712\n50435 78014\n54213 97645\n16549 80573\n82326 94033\n8827 19145\n48560 69532\n48429 64368\n11026 23065\n2711 78811\n14064 80345\n53126 83923\n4660 74226\n13411 82537\n32208 84074\n13348 44061\n54207 78073\n28764 84450\n13570 67863\n84188 90178\n1851 86467\n67406 97179\n2093 93564\n26533 29290\n30992 43318\n53387 72331\n6879 9651\n29649 32688\n27945 79908\n13134 91095\n43367 97519\n82482 87567\n34192 97592\n25264 66489\n5404 70802\n2027 3539\n36298 55121\n94677 96975\n70954 89464\n37995 44514\n13276 30703\n13910 59713\n22891 33043\n30115 99129\n23999 84885\n56064 93323\n88050 90329\n8269 75585\n62408 76488\n46918 75772\n39620 71281\n21516 96345\n31644 56116\n15167 77070\n17810 64259\n50922 59021\n45906 51818\n4316 38894\n5507 45157\n43258 72358\n46624 74739\n1869 10014\n49170 69542\n56330 98109\n4651 15951\n16951 53347\n47769 62082\n6641 92390\n36789 38143\n20503 27562\n85362 90683\n20433 37312\n26087 67078\n44498 95545\n35604 40510\n52352 70333\n10531 93186\n51677 62586\n16580 68336\n33518 61356\n49201 83731\n65397 70387\n38089 73514\n7491 25031\n29079 41949\n57821 88789\n5766 54030\n62235 95776\n19140 33704\n60360 97171\n18073 27345\n28980 47245\n14302 18832\n3702 35801\n27209 95014\n35966 57955\n52643 62310\n16052 48980\n46639 70852\n74124 83354\n55268 93329\n24807 48380\n72697 98272\n3740 32085\n14865 76390\n49327 95260\n40197 82370\n894 3199\n14869 36420\n69835 96974\n80891 94444\n17988 56708\n45190 93162\n65672 81621\n1289 47075\n83410 97492\n4882 18499\n38355 78016\n32255 46130\n49600 50884\n52156 68564\n28567 31685\n42225 63919\n49931 70869\n88875 89147\n39912 65454\n36173 71336\n13690 17130\n53718 90964\n3067 48191\n15843 56154\n33082 73050\n9458 59951\n94426 96643\n1363 1388\n68826 97646\n64270 69218\n15794 74644\n45685 50635\n37718 92469\n86718 92722\n30880 73744\n8667 14904\n19953 95269\n1040 1897\n86001 98871\n10547 49896\n47963 61996\n1902 14092\n21078 99476\n39917 59765\n75185 96932\n9491 95236\n54524 97948\n13789 34634\n71527 78886\n31254 32135\n12558 33048\n37347 74987\n54551 77406\n26813 48289\n48545 87957\n22923 75334\n62558 81855\n37414 75232\n84217 95653\n78494 88887\n16533 26465\n68106 70491\n161 73489\n37811 75239\n10112 20656\n68920 87568\n26766 43420\n24867 89271\n18728 33719\n44870 64355\n31748 50483\n11772 46449\n11462 80832\n68566 81811\n35806 73208\n6894 58024\n22389 53057\n61631 86093\n80556 85261\n4072 80001\n38064 44914\n7856 80151\n547 10987\n23906 36095\n44949 88765\n75778 77579\n37640 85844\n64509 85762\n9191 72870\n553 57229\n17225 79647\n8974 86899\n1724 49834\n54309 73498\n40638 74940\n40944 60383\n13247 69398\n62010 73472\n33988 42316\n27766 75603\n63 35883\n43166 55724\n56996 77798\n68000 98971\n20144 37422\n46622 61465\n45966 62722\n14648 82401\n25359 91403\n36204 63690\n28473 33492\n12942 36439\n75250 86428\n10588 79900\n46357 74696\n71347 77624\n843 43454\n26729 79919\n4379 62566\n40063 61500\n19399 33717\n16822 40564\n25209 84373\n25248 48678\n51516 70548\n70485 92645\n23956 65963\n82199 96417\n33389 47417\n55329 56389\n12712 81681\n73717 98085\n71246 85257\n31758 70922\n63580 95998\n28936 32441\n30417 94488\n36334 98781\n24690 97722\n19177 23900\n28251 79263\n82615 93675\n4197 90728\n39544 56633\n65004 96474\n25622 51522\n11774 51326\n13868 43615\n66184 91607\n68335 91088\n64228 92481\n23640 60531\n39824 90473\n59631 67007\n43467 68713\n16820 32226\n24650 84998\n38739 81906\n81825 91462\n9699 26866\n4363 92994\n31716 59028\n12534 21664\n59386 60576\n14125 75826\n59012 65862\n8382 84506\n40091 43850\n18521 73618\n156 13753\n10684 85632\n24196 48568\n19611 36913\n3449 69187\n21783 75511\n46118 92334\n38062 49368\n61808 63787\n80415 92378\n9074 40923\n1469 73348\n80647 87272\n17885 51417\n67102 92713\n16690 54869\n34811 74827\n30508 38147\n919 35153\n11153 48417\n11898 96016\n32415 92317\n71469 95126\n35723 67805\n31728 99821\n64141 96756\n55011 83365\n49504 92982\n817 22072\n60599 65501\n82304 87575\n19955 53762\n82312 82764\n52074 54279\n5394 57767\n40376 57031\n71325 98772\n9592 69328\n41597 76735\n74191 93357\n20312 51503\n25807 87546\n25400 44713\n1535 91096\n13631 77493\n39360 72265\n10391 40030\n16551 65327\n90883 97475\n37375 38092\n60152 97836\n65465 74354\n87811 90483\n15291 66671\n8932 52291\n13488 71182\n17245 98540\n8829 65204\n8225 32929\n43369 77157\n90590 91551\n70862 82323\n4987 57480\n7460 74550\n59214 69177\n93632 93963\n3038 31937\n10264 70134\n32988 59323\n67850 85989\n39026 49733\n54223 85001\n18553 50884\n4963 11349\n9229 15040\n857 89695\n16065 44794\n7015 65390\n16504 80107\n26453 39176\n19287 46282\n22624 70201\n50619 65700\n27846 57678\n10282 57508\n12563 63770\n18532 71210\n4516 24178\n24201 68091\n39577 60777\n29177 79844\n34862 73008\n1873 50603\n12516 98510\n11481 62449\n16923 92170\n74593 93771\n30599 82663\n63933 76621\n13928 63773\n40419 41074\n46948 88848\n40762 78570\n5655 25720\n19176 93484\n33034 71993\n9034 83369\n27590 54065\n21113 29205\n66211 93993\n39771 80752\n9646 12149\n3463 4396\n3373 10221\n13784 31376\n17023 99886\n46298 88253\n95855 97367\n46542 50558\n22582 95840\n33812 67930\n18785 95452\n47722 84407\n83477 89882\n95963 96868\n5279 42758\n82415 91771\n45727 51019\n64472 84747\n75745 80452\n77606 83528\n20438 58307\n60752 89955\n37359 54108\n65325 81500\n13271 75851\n62453 96486\n943 26463\n8771 92791\n26363 42375\n16107 40493\n21598 82572\n24224 85858\n26470 26642\n86733 97940\n54836 81042\n4165 43219\n18032 41854\n18449 91848\n1272 44677\n53559 59388\n72622 95718\n27708 59154\n12916 24716\n23729 73840\n21975 55914\n23536 97744\n13818 19928\n4446 78305\n52453 59664\n36976 45015\n18344 68823\n46979 90217\n19492 27254\n62707 85865\n54853 73504\n40419 45487\n31551 89331\n22096 51038\n7205 17300\n13616 56671\n4464 26309\n13125 21057\n32235 62105\n4120 62930\n8803 91548\n5859 55528\n43435 73240\n71899 78230\n41181 75326\n19958 75449\n44608 49917\n16020 60396\n50926 52889\n9228 44376\n28478 86976\n11141 73093\n1490 56011\n7115 15660\n15621 29791\n78146 96980\n26138 68374\n20619 83363\n6762 12621\n9786 55795\n15668 56015\n9438 42895\n57298 87607\n11981 86868\n34856 84631\n12117 90027\n5553 37523\n35146 65722\n10868 79500\n41999 53769\n5936 90649\n16775 17836\n65056 76801\n56216 80731\n32722 47471\n38646 92165\n5100 81375\n90144 92094\n28412 98523\n30764 88018\n18723 83793\n78708 85352\n12720 93109\n73626 86339\n23013 86305\n17638 60432\n19307 58127\n13457 99276\n10832 33020\n23995 95428\n3335 95309\n37622 74416\n22507 47076\n1108 59440\n25844 84219\n11714 42500\n24651 27567\n11876 27123\n50238 59770\n46868 65769\n17000 85406\n51901 88854\n5615 45239\n26224 79718\n7751 60547\n31397 89981\n33895 87391\n5004 48037\n46817 99737\n1068 61112\n36915 85051\n16182 66499\n60979 68350\n45276 51959\n56159 83853\n5566 36158\n10889 26751\n25703 47737\n24156 29836\n33435 89045\n30000 33956\n33713 95893\n39973 81400\n18826 64201\n27330 50691\n51187 55607\n37167 83239\n20100 88546\n5058 10051\n7585 78941\n50466 81092\n36084 47781\n31647 65731\n16591 28574\n47860 72451\n4052 39885\n5590 12166\n26876 64065\n38366 52328\n50455 83447\n4037 70114\n39145 90467\n21264 78768\n28559 46099\n56915 57461\n11746 32396\n1861 12483\n9559 50936\n50845 53273\n20962 81548\n13137 87092\n76875 90408\n4682 68334\n17888 36751\n14442 77237\n21093 85115\n6896 48469\n367 28730\n1495 96731\n3403 47713\n40350 52550\n37678 43144\n74013 82395\n1444 73652\n5012 72996\n29395 77137\n31624 98355\n13892 75268\n306 53663\n59639 97675\n54912 82762\n29399 42482\n1798 27051\n66258 75640\n49490 66391\n21028 51757\n64098 66526\n25196 45497\n29166 80768\n16182 87815\n9536 67657\n11686 57072\n183 41918\n18794 47760\n31333 31680\n39835 96707\n13678 20144\n23706 45589\n23820 48199\n52000 69486\n86062 96610\n59561 90286\n32265 78616\n7777 34687\n61725 68536\n20495 21915\n46585 61343\n47627 74226\n7808 66543\n56957 58921\n62778 65765\n16056 89983\n79282 85286\n2746 50079\n5300 8614\n8531 55426\n15321 95214\n3278 65062\n22857 54167\n18679 78108\n44934 65366\n24616 53379\n71816 96000\n24702 74894\n54940 58659\n9866 84991\n19610 81014\n55789 85907\n35352 52166\n1677 17249\n27662 84723\n12796 88145\n9084 98332\n8630 12504\n69694 75167\n42798 93724\n26156 66839\n39782 42086\n40254 90125\n76161 78936\n11995 68287\n58483 82874\n30394 76350\n31367 79537\n69715 84600\n10020 77708\n26103 74244\n15306 71678\n19594 37478\n6781 82964\n17740 84282\n80558 97023\n26744 65486\n54988 58017\n11968 80718\n45751 67204\n60062 87525\n86347 95343\n3042 10063\n59981 99257\n14994 89997\n37372 42934\n28523 86707\n28468 59215\n22359 28251\n1989 83365\n995 76906\n5445 44614\n32324 66179\n67051 84433\n45146 53712\n64711 78330\n76199 83967\n61327 67146\n86406 94227\n23148 44211\n11262 45213\n46515 68849\n21088 68016\n9559 22317\n26096 38086\n29557 97380\n52456 92688\n47872 94984\n61724 73769\n7041 35600\n4053 13049\n69587 75964\n42100 66273\n8928 20409\n51631 55149\n45385 70884\n69904 77091\n82270 93540\n64763 99631\n28538 36167\n34864 88497\n14316 60005\n12827 74340\n52653 54800\n6419 41414\n34829 94704\n31557 79509\n42516 72257\n17592 46179\n26244 91449\n55651 70368\n14654 45338\n23491 31942\n38299 85629\n58503 58795\n6023 17875\n11538 32065\n39689 73209\n3969 28937\n42873 54049\n11885 21327\n35043 77051\n13959 99694\n50648 72876\n83769 87742\n2579 97084\n25799 76870\n956 96470\n18047 82903\n64878 72728\n61816 89661\n61673 66106\n49116 79988\n62720 72752\n35319 35584\n64473 85229\n49478 88971\n33108 36454\n66946 87602\n32302 41626\n9537 80779\n13669 48781\n4996 99095\n1370 10767\n74795 89574\n26678 71887\n13123 38264\n92243 94565\n46655 82735\n16547 81613\n23050 53698\n22345 62770\n51929 74353\n70655 86274\n6656 85626\n16293 63235\n4318 16734\n15377 90781\n6743 22328\n586 12019\n14653 64338\n10217 16908\n61573 89795\n14780 60340\n9080 54895\n47163 82147\n31481 62781\n85353 94228\n2139 73146\n66274 89769\n23041 46241\n91249 96471\n8147 71564\n81034 95934\n32806 82288\n41232 59640\n37447 47644\n16940 72626\n11801 28389\n57775 85541\n5723 22972\n2922 7497\n51153 67960\n21716 80129\n64790 92397\n68090 91108\n58741 72253\n8215 79834\n11364 30250\n2093 48782\n51597 69657\n9069 70579\n30707 34411\n8786 46214\n45619 89158\n49049 81109\n18903 26272\n71615 80556\n13479 98445\n36489 80169\n24365 77609\n54837 60183\n62468 94225\n52899 64799\n34919 85235\n94855 97905\n5687 63497\n34705 69721\n34669 80460\n75599 97743\n6784 89436\n49200 67809\n51656 85227\n50061 50691\n32945 97879\n42077 88716\n93334 94658\n58466 81671\n2892 71336\n19964 37748\n408 36990\n19637 86940\n53721 92837\n24063 99332\n56778 95957\n39943 55942\n66023 81004\n57852 67609\n71957 81597\n16497 84102\n12270 64211\n35443 87524\n20806 40323\n38468 47306\n48291 72386\n52950 62126\n12133 39638\n4654 36358\n90914 93439\n413 52569\n69351 93907\n42854 61892\n17509 89746\n44908 85601\n49611 54059\n25246 94608\n73814 85402\n9253 25477\n4105 67620\n26501 83932\n53796 71275\n32600 50876\n68112 87779\n42875 56025\n31071 96232\n5745 64172\n38874 46524\n13298 55678\n14429 83415\n44188 65419\n5980 23010\n32075 54258\n23028 47942\n18813 58394\n23277 80059\n8265 19035\n1527 13847\n6505 59602\n4818 40170\n37370 42778\n2001 26107\n6758 81999\n63242 76473\n54689 68919\n12166 77833\n66179 95624\n55218 66287\n4307 84626\n29926 56589\n78228 87911\n57829 91109\n38109 61760\n89019 92438\n32057 57329\n41269 85270\n30561 66521\n28635 61647\n30020 67363\n29992 64313\n8107 16930\n81377 93710\n58830 72017\n7755 72272\n92964 99449\n50172 60279\n49064 96407\n64346 94121\n10784 35534\n56694 70739\n3590 33456\n51853 52132\n76638 92341\n30196 64896\n14115 47868\n88948 94527\n8708 68394\n60834 74406\n76959 88313\n1599 62756\n68872 97953\n46737 96410\n53659 79179\n67521 84735\n70405 72116\n19870 92071\n2610 31867\n68595 85433\n10386 81774\n62909 92800\n59830 79288\n59117 86738\n58508 89427\n24646 40115\n17315 95483\n7997 83256\n19393 82396\n66090 85207\n16601 76549\n46220 51210\n51719 79217\n40448 58995\n73890 99970\n7993 88159\n75910 83146\n12066 48113\n16727 55933\n2209 20061\n20032 90210\n49453 86670\n24442 41467\n15446 88263\n54771 87678\n45882 70534\n82532 88552\n38601 68362\n38497 69513\n56983 96045\n27674 71897\n83993 87326\n485 10214\n60269 80501\n20367 38112\n68890 92653\n43522 77861\n27322 56104\n24797 98787\n10769 44080\n6614 17892\n5833 48288\n18268 22410\n3030 18265\n70040 94315\n24632 42395\n5614 51825\n13398 42403\n4945 96928\n81175 82871\n55138 66444\n39487 90996\n45471 86407\n45493 61618\n1465 70656\n41128 71491\n38524 39475\n71832 87582\n8264 61154\n44907 89045\n29300 92011\n8578 64716\n27080 42997\n18632 60570\n18209 55901\n25328 69599\n52418 53931\n34279 82198\n23624 80916\n22027 90427\n60078 97683\n18271 84813\n48519 89820\n9699 25965\n13889 99378\n36174 37043\n22907 33721\n60401 83496\n34508 89772\n19535 82208\n41133 68994\n64245 80308\n1313 30390\n5779 76105\n75861 79388\n21245 83183\n80051 85539\n59822 92376\n9488 24670\n13142 51835\n4243 96596\n53512 81822\n52255 87161\n31977 91257\n45771 85466\n20074 76211\n39359 86022\n48873 83480\n67822 88783\n35186 49404\n36334 56298\n77497 86375\n24307 49714\n11599 29984\n68452 73270\n63578 63731\n24604 87251\n45532 54209\n79156 92056\n24632 95251\n5905 64616\n81740 92752\n10401 19151\n33917 43497\n73903 77121\n10297 35241\n27072 78870\n89079 96989\n63227 69551\n28741 58043\n1088 53442\n34821 90612\n68037 77583\n28773 66932\n55625 59234\n25030 55106\n53828 69512\n30213 79284\n28974 86145\n70883 78266\n76277 86707\n24793 31848\n12100 30205\n57903 62563\n58651 69722\n42537 84782\n17155 99042\n12614 50870\n47200 88957\n10696 34554\n18636 35955\n25219 36024\n52186 61459\n63067 85157\n34294 66073\n25442 92210\n28512 54104\n11636 98765\n76217 98585\n49128 52141\n52142 86079\n25854 48836\n45318 58152\n33646 96686\n3970 78996\n21001 90202\n23092 37932\n37500 41913\n7871 80474\n53209 86205\n1704 98341\n43804 92583\n62075 90742\n23654 71633\n55259 88347\n35980 95454\n25827 47146\n4190 16193\n55351 90017\n20309 83562\n25017 56962\n2162 89662\n33778 37258\n48780 54877\n69942 99069\n38694 53442\n5812 48448\n20383 41444\n39822 49643\n1824 40957\n56517 69015\n60061 90916\n14250 71581\n15667 40386\n88269 99836\n6776 32750\n13588 41219\n4488 7370\n17933 74587\n55824 69283\n32204 78366\n36511 59358\n30190 96139\n72162 89434\n13542 68489\n71952 91289\n10788 25264\n58373 58550\n66215 96373\n69475 89734\n64672 71158\n57192 74199\n62996 86938\n58009 58512\n1111 10231\n55179 66603\n11250 41225\n45823 65482\n20004 73928\n11163 63065\n22319 83242\n78205 94494\n27979 52170\n43650 88546\n19592 37567\n57756 80222\n20929 60743\n30718 45357\n12110 39567\n5031 46710\n66654 78832\n38333 63550\n23890 99659\n78916 91896\n5870 87485\n53427 74106\n28993 54347\n31086 38641\n18240 79062\n25815 28224\n62447 64115\n38430 59122\n39833 53692\n14229 88570\n19885 22431\n65953 86559\n68256 88185\n12646 94655\n20682 58175\n15299 86992\n23346 79252\n53211 56920\n30890 32230\n76137 85386\n33006 47091\n22118 23016\n29548 38006\n3190 52718\n13111 69916\n53813 71635\n62850 70277\n53036 56974\n39087 56107\n37361 50167\n10782 59081\n48564 75537\n32143 77181\n2270 13423\n9560 72918\n70108 70736\n24981 35633\n6369 84329\n25938 91703\n64187 89833\n147 11993\n44876 53584\n33915 34200\n88265 98854\n11864 69298\n51377 79212\n13466 35351\n15990 50791\n54359 77066\n32646 95205\n50353 56672\n8684 14835\n18772 92595\n1351 20663\n32551 35578\n49284 88791\n65444 89759\n2594 94974\n63684 77746\n24554 43809\n25802 83421\n16263 49512\n75584 81693\n794 1598\n2932 14355\n24043 30857\n29048 32996\n45105 95119\n1115 4719\n23408 72969\n20123 96224\n6610 67797\n30568 38119\n17118 34456\n47006 56044\n36226 92782\n4669 68685\n61386 83709\n12393 44104\n30353 85353\n15991 88725\n39078 48695\n26220 89369\n24003 86908\n43334 93033\n5738 99080\n15463 40150\n22590 66118\n56095 83167\n63231 88343\n71260 82490\n11720 29053\n13695 95695\n1879 59266\n18749 72166\n16164 22052\n19412 31609\n4085 51651\n61830 78684\n9217 68824\n37190 54354\n340 92610\n3950 17688\n9093 76052\n45098 94868\n42714 63291\n74421 76745\n4745 92888\n25100 78486\n46820 86427\n48671 59815\n24601 68059\n63710 79928\n85342 88475\n45465 58878\n78175 97108\n63642 89321\n43999 93006\n4093 49327\n21378 27677\n48735 73836\n14682 26287\n14791 95438\n10515 70597\n42371 62826\n48351 57248\n12504 85903\n9778 51280\n54416 84622\n2262 68474\n18758 56374\n7328 9313\n59493 65044\n58242 75647\n33214 62164\n72535 72851\n24982 68377\n53454 87425\n39002 57582\n42807 62659\n69296 92716\n78089 92779\n43374 79466\n43332 51327\n32040 70482\n58381 73656\n32818 87958\n24829 55520\n7402 31545\n90267 90541\n7684 7761\n3417 37917\n24692 77637\n16986 95045\n35983 48804\n27643 36972\n6939 19355\n12175 49444\n63117 84556\n62362 79937\n11101 37031\n6352 70177\n12701 66406\n4863 35971\n30628 98083\n69281 70578\n81429 89242\n42466 94280\n13076 32712\n77167 77787\n47627 47758\n80923 86111\n55927 92397\n2869 37745\n49255 82343\n29645 61014\n74368 91440\n28227 56996\n63889 68944\n21898 85896\n66803 87632\n52901 58917\n59706 63027\n36146 86501\n38488 95547\n10326 16435\n57672 92575\n24779 45327\n1311 55641\n9729 19495\n68978 75619\n41205 69006\n17578 78335\n3110 39478\n157 96921\n74812 97513\n4294 5772\n33701 43431\n10753 73784\n49183 71604\n23612 62227\n50841 52802\n67891 72889\n7989 43792\n29010 83027\n44547 78552\n16326 89470\n32275 33413\n9373 30644\n65742 77135\n13119 67602\n27664 36318\n44864 51558\n45146 61791\n56390 57469\n53868 82961\n28134 60612\n39618 52761\n14593 88116\n42320 62241\n28162 41902\n27059 60884\n27759 98532\n43164 79862\n33328 86415\n8227 79767\n37853 62837\n48228 58833\n7935 39082\n52385 58882\n44196 55980\n32640 80360\n39743 62208\n51440 85462\n36612 58055\n51655 69126\n56462 64007\n64111 79560\n88593 90727\n48293 74520\n52909 53971\n22247 26772\n8722 96747\n2217 41011\n39834 80599\n81855 82858\n14247 16853\n35260 74594\n7069 59759\n31148 33778\n37236 93421\n62221 92812\n45663 52489\n78790 87643\n39365 54379\n21684 23201\n56454 65905\n27407 78777\n14459 18514\n50736 80985\n80062 81297\n16062 18351\n44019 74837\n9057 25947\n61208 69373\n26467 59288\n31299 78925\n3215 49897\n5580 68884\n26480 68865\n77746 94232\n15716 71869\n928 51027\n6928 86034\n42940 56335\n18435 57249\n7669 28277\n41335 68342\n81772 83801\n25794 87422\n15289 58007\n54235 69770\n44047 73905\n16547 73640\n4982 30377\n3710 95949\n24720 94591\n10474 23957\n61157 93553\n49200 80749\n33163 55757\n30460 85518\n7502 89785\n58087 58856\n4653 53287\n27599 46341\n52893 52978\n21599 53955\n40617 82073\n89003 89787\n42040 43683\n11944 65145\n6886 54101\n23129 86071\n20197 78074\n27866 52790\n880 69316\n27163 82119\n150 66014\n31392 84746\n39932 65741\n10956 24809\n30235 43717\n67837 78204\n77101 87599\n16944 70460\n34248 96694\n11730 57204\n11671 90425\n6602 69378\n56171 82554\n27102 46940\n8247 80674\n29724 46245\n71198 98273\n22125 87951\n24596 76516\n95571 96056\n24978 94982\n89147 96191\n39062 53581\n44028 95792\n37139 92890\n74122 93774\n23491 57997\n3251 40041\n53615 84960\n58793 90821\n49621 68069\n58792 92346\n28423 69499\n27091 97961\n65282 84783\n12614 33400\n31722 52768\n56649 96591\n89017 99539\n87032 94718\n71188 78201\n3284 39849\n25011 74415\n3541 22057\n15148 18091\n62372 90939\n257 79655\n56452 78882\n43604 94990\n2901 21095\n9484 77890\n27961 98111\n13933 78191\n42643 65313\n51411 77209\n923 35970\n52842 79409\n24444 36089\n37082 53202\n25531 69448\n5250 48324\n70912 73174\n12717 97487\n7447 25479\n8761 39914\n16109 21444\n26914 61804\n10653 24722\n21386 30958\n2686 10864\n26107 88722\n13796 80132\n11487 23472\n41755 81525\n22738 98180\n13111 58548\n11429 18895\n42882 77885\n77268 90581\n10758 75788\n45237 70319\n87228 94605\n32058 59936\n1453 8172\n38206 63400\n57361 59534\n31012 35203\n8703 91388\n21579 95141\n62424 64007\n3896 16920\n80228 80804\n34655 85998\n2240 7259\n95598 96689\n61844 79407\n40327 60026\n603 64260\n22537 75669\n21753 60397\n4422 20802\n35696 54198\n4057 27747\n10939 55347\n53790 66630\n20644 85532\n18128 81062\n543 66368\n67075 97621\n769 47293\n21957 52119\n38315 38581\n14827 51834\n12072 50088\n17431 82585\n9319 86148\n48960 65501\n53017 99419\n59611 61178\n68951 78882\n16681 18322\n42627 79473\n24820 65302\n26436 30838\n38267 89578\n22634 82779\n48703 94288\n8101 92331\n42894 78614\n22205 45570\n34713 41089\n4830 70656\n15733 98232\n9899 90895\n43499 71024\n56220 87444\n1091 63491\n15930 63398\n31113 39259\n65698 83512\n74292 76950\n33415 42259\n1854 82190\n12919 78799\n67643 87122\n20201 50378\n7154 69090\n32907 39041\n67916 78544\n40335 61981\n3704 23791\n42644 72531\n15989 77667\n66567 98007\n44481 58082\n21113 47119\n28914 57203\n70240 82649\n51748 69934\n31507 86278\n21469 83093\n40518 58646\n14507 77395\n79979 91374\n90350 99627\n31750 88734\n20007 32638\n40903 59251\n12983 72236\n13019 62592\n5958 60489\n44108 80893\n38629 78683\n77322 89268\n44921 61699\n60628 87006\n70377 77675\n49525 81407\n66169 86602\n11869 97576\n3990 96477\n35404 36138\n22092 83208\n46971 99533\n2707 60432\n25404 74133\n14733 98269\n59349 77336\n6544 55575\n32215 46487\n13657 32661\n38379 68756\n41187 85255\n6276 36453\n5326 73955\n20896 82979\n52206 66386\n28795 46374\n52272 82049\n46779 52927\n47824 83021\n41368 83970\n11927 89840\n94966 95308\n35322 47334\n41721 43426\n56336 67643\n7665 31684\n31326 88346\n698 34292\n39216 48629\n26896 55524\n19012 97311\n8602 14823\n19630 54041\n43138 48593\n25389 36121\n24478 32854\n14585 27936\n12475 46301\n25390 29979\n80166 87841\n65375 74016\n29810 84661\n35724 43538\n32347 88962\n18071 81343\n84055 89268\n4771 50000\n38718 67503\n37119 93722\n41570 66943\n19010 25552\n19953 92421\n8444 69291\n29013 82420\n18692 43973\n7679 49392\n28499 32548\n74675 96420\n28008 39554\n39923 52905\n1998 84032\n62373 82381\n73463 84107\n8983 10595\n67483 79711\n39491 52299\n33152 83914\n7708 90095\n37204 70250\n39343 85872\n65804 85077\n6118 63735\n15826 34740\n24692 53446\n15721 89634\n12832 52001\n47032 93724\n49469 81031\n8678 14456\n35611 93883\n25941 50634\n29131 51423\n6335 39723\n26197 64006\n20964 35200\n42675 67191\n52726 56172\n71034 75447\n74922 78871\n33690 91578\n14376 39430\n45945 75033\n20223 80580\n22274 82207\n73689 82727\n33354 75109\n4231 66293\n70441 72779\n22013 24971\n51834 73020\n64334 89563\n45688 62178\n3829 73119\n6412 23466\n29840 87594\n1735 74125\n2172 2277\n76393 96014\n4031 18753\n23101 51896\n16622 38545\n46786 60496\n35462 68811\n66329 76750\n60242 87497\n24879 73046\n2674 43557\n4622 43068\n3008 7795\n3801 7749\n37035 87184\n38 97823\n47213 58656\n337 38014\n58656 67914\n62646 83409\n23268 90214\n22306 77935\n47081 88039\n47797 70370\n7408 61074\n10621 43990\n6824 69519\n24548 72152\n15458 28740\n38736 57394\n18134 32046\n46686 69186\n3231 11670\n33173 56978\n63583 71431\n19771 52380\n4769 19992\n43152 77843\n30036 32484\n9767 53459\n14279 37503\n6099 73010\n17404 90226\n77038 80666\n16305 92088\n61410 78598\n30101 57027\n43630 82429\n19264 49934\n5331 43186\n3674 31062\n13693 35071\n85290 90947\n16829 50368\n30898 48106\n3357 24790\n22431 73477\n75932 78809\n69053 95644\n91605 93913\n11783 73925\n72793 77385\n5726 25682\n19151 78707\n75250 93507\n382 64451\n12786 93202\n28450 50791\n10480 15278\n81565 95174\n51174 82576\n30941 71841\n775 19657\n73381 99986\n19755 36465\n21899 44792\n8743 65362\n70589 86873\n34479 48154\n14334 52789\n40869 66426\n13135 44065\n59374 66475\n30139 32945\n65367 98478\n18441 58781\n60238 80282\n27676 87217\n36719 54123\n47081 99368\n64696 80280\n71717 98060\n9997 99869\n44715 48748\n31430 65549\n94020 94592\n65631 98122\n76325 77256\n37003 84668\n15859 30048\n48137 55530\n90693 94788\n78602 96958\n30437 49171\n55650 88523\n26486 86466\n11146 11659\n23462 74360\n9256 56302\n40741 63646\n63898 88625\n25040 51322\n45126 46624\n19866 83335\n42816 71217\n53963 80934\n19019 55122\n28757 83116\n9938 41456\n13143 98517\n18694 47762\n49904 66992\n47767 73682\n17862 93720\n76487 83756\n27840 46773\n58228 98155\n4054 29202\n24055 72067\n27409 38965\n40134 59651\n56087 93298\n31177 39591\n44664 88493\n39933 88432\n11254 83779\n2830 19816\n46364 82339\n18475 61004\n86635 89275\n3933 82028\n15499 44671\n49833 74436\n18414 73993\n17597 62941\n16004 24088\n29630 46416\n79602 86246\n59207 74761\n85875 91557\n17057 63930\n43803 52225\n81778 85583\n69691 80889\n23150 92667\n10464 92809\n33153 44965\n45392 56332\n55443 61343\n72046 91730\n33411 69918\n23443 42527\n46338 58336\n39269 93297\n28589 96894\n49615 52091\n36447 82942\n29751 71225\n47827 81174\n928 82690\n15468 71856\n48886 91492\n45915 60872\n50527 78034\n48756 58120\n4492 72225\n37413 94596\n100 14410\n29999 70718\n33984 53844\n2106 65416\n83682 93043\n87791 97530\n3781 80092\n67721 95314\n26005 70805\n67162 96065\n10380 20074\n68428 93018\n66849 85620\n28373 61844\n31309 64079\n26437 95739\n2423 82627\n12703 97724\n68590 85829\n29183 37254\n81103 93722\n48896 76462\n38887 88187\n51345 93930\n708 13359\n63905 73594\n32879 88556\n85543 95678\n7260 90139\n57754 59289\n27940 81080\n78336 81956\n2262 54805\n300 44639\n30451 37710\n21767 76101\n72530 85676\n10896 72034\n37531 71220\n22919 56372\n34892 46623\n93941 99758\n54234 90926\n52703 62900\n37132 62137\n35807 85560\n23727 88804\n66985 96596\n22684 91632\n67691 82863\n11425 99209\n30657 79662\n10270 51277\n13710 78801\n26190 59003\n45605 62769\n3298 25748\n13766 15251\n13340 18623\n19311 24637\n3271 8877\n86552 90932\n60799 89494\n40626 75070\n39940 87622\n82585 83098\n71955 83788\n8038 45066\n19230 47507\n69856 70708\n19679 61981\n53252 87325\n72103 79025\n10686 96085\n1178 34249\n382 68796\n34643 82271\n69484 93534\n5091 45077\n46607 54303\n24708 74487\n49050 98934\n21690 83770\n61566 78187\n34214 42162\n97108 97600\n43291 93933\n27507 70501\n21424 23356\n11742 68695\n49966 65389\n12485 50270\n28286 43953\n21905 96278\n54229 74851\n4274 65011\n13630 20432\n21887 93614\n13178 80782\n26237 80045\n31021 71595\n12808 76101\n1822 16516\n34714 95114\n3839 93088\n73205 77514\n5939 61499\n36847 87060\n19355 50994\n16403 72536\n13475 26270\n55128 77245\n4839 77772\n34965 87501\n20960 44485\n33494 89063\n52823 76548\n34178 77319\n39164 92836\n11406 53451\n1149 87710\n23957 63158\n36639 63850\n26066 46974\n12526 27144\n31025 36132\n32809 62860\n62004 96609\n17564 73673\n36270 93228\n42844 94314\n1925 37628\n13342 85399\n10963 37346\n75758 97128\n59756 79241\n26091 95466\n55250 58681\n31811 79310\n43419 80743\n48044 79733\n8853 41781\n33982 55861\n27544 30128\n49141 63055\n87223 98696\n14793 66324\n34010 39528\n43739 47668\n61787 76169\n5647 11840\n7073 48785\n29420 84894\n77644 78406\n69354 91543\n51264 59153\n32316 35907\n64341 91823\n26638 79740\n91091 95035\n13949 88182\n48413 59456\n41965 56270\n51566 64401\n9986 12703\n3906 13293\n65688 79521\n17777 53662\n61452 90427\n5396 30910\n42235 54330\n69035 94169\n87149 91878\n58486 84661\n64795 80519\n40212 90330\n31375 67508\n66610 92090\n43315 55324\n5082 18355\n51937 72008\n16569 99631\n93339 99862\n84067 99537\n2894 37761\n5839 58712\n18471 74152\n53351 67723\n19400 28352\n24187 39950\n78151 94113\n10534 12437\n24363 63975\n57042 87546\n63239 83063\n48439 83821\n64069 82607\n9493 35595\n94731 98344\n46722 50047\n26204 67836\n75103 85647\n21966 62499\n52994 98491\n36102 61580\n62181 95955\n14631 92318\n80925 87358\n6129 33798\n15170 27171\n19202 99082\n4264 44196\n55532 87846\n29661 43934\n38923 64376\n585 33788\n34489 83463\n14409 59310\n4747 67027\n19431 80036\n33230 81726\n15109 98190\n28193 84370\n76082 86882\n51961 57271\n3262 22818\n7792 12872\n69387 74184\n71783 84716\n6501 64977\n8165 36178\n8560 62175\n93965 96443\n358 99383\n27318 78991\n10292 84541\n13371 74732\n24828 37017\n18344 80979\n36281 52022\n52637 52843\n17766 73312\n61306 78317\n75488 95647\n22694 29405\n71307 83799\n24760 48517\n68913 88362\n10569 51961\n16427 37193\n16869 79179\n33558 81823\n35249 72115\n37685 80706\n45249 47261\n13817 80584\n42018 69931\n96201 98409\n48950 99408\n8439 15344\n10511 33015\n16293 64377\n56109 83285\n73678 98683\n18104 86806\n49358 56763\n24944 79551\n49372 79733\n26328 27412\n11408 11727\n45852 59935\n6799 51820\n52354 83582\n34260 94221\n21878 59317\n35635 81470\n67367 91646\n13480 19816\n14317 33211\n26430 80770\n16593 63206\n34522 82751\n86063 87744\n80497 95007\n51026 52302\n33687 97989\n6551 76153\n82123 99953\n37454 44862\n24540 88151\n82037 99972\n72309 88324\n81080 84931\n78221 88293\n13284 15246\n4996 11049\n3569 17067\n13022 94661\n7993 13184\n66646 68770\n48223 68662\n36023 45153\n11855 77035\n51559 72765\n38422 39835\n49914 60813\n21818 62489\n10210 22884\n18506 80557\n6449 76345\n39510 66110\n15501 93756\n8622 13274\n30485 98223\n36344 99420\n49325 62152\n3236 43971\n28828 83533\n19388 26720\n61772 87716\n28535 85161\n28113 78793\n23467 65043\n9135 56523\n17651 37553\n44165 57934\n32656 56449\n24884 33282\n14858 58528\n24065 77958\n21171 45848\n29591 86711\n6347 97905\n48401 56859\n44467 55274\n16472 74054\n4681 61490\n62788 79451\n48103 58057\n40228 85708\n48708 52585\n35172 66221\n58016 66128\n16822 86257\n71172 83679\n25744 60170\n29362 38731\n35447 66513\n25676 96027\n10645 73584\n33775 75486\n34761 95451\n23387 81147\n41658 65520\n13469 61214\n24710 74260\n45401 83478\n2707 42983\n5395 45650\n53511 56901\n12656 70872\n67903 75289\n6985 81107\n29872 99827\n41116 63092\n1546 68728\n59294 63855\n20709 59671\n48570 98998\n60628 89407\n55176 66162\n89651 91357\n2605 78980\n72688 80622\n29388 68700\n26914 50500\n5171 5696\n45119 61651\n78229 88726\n53372 57053\n81851 96807\n25533 66398\n61043 75363\n6414 73616\n22857 37133\n49948 77514\n30864 48168\n13902 84538\n38670 83657\n91959 92807\n36680 79831\n42704 64757\n2644 42083\n24246 66596\n22078 91251\n25595 72417\n37130 61216\n18297 26348\n25726 41922\n6490 57243\n13339 93364\n12293 91883\n54941 65642\n40281 62153\n45829 79805\n5486 22245\n36582 49496\n77705 83090\n43677 69098\n87467 92030\n38814 65616\n40303 64847\n77958 97680\n11533 25294\n38212 53977\n26922 55318\n31933 32902\n19131 23767\n3589 65032\n9909 61788\n58722 59955\n48654 49198\n32686 82489\n19549 38543\n29715 92824\n7103 68985\n35944 67272\n45975 55699\n15881 46220\n7050 13070\n35460 47376\n9903 43295\n29139 81002\n27947 83384\n9977 44894\n16486 73564\n58181 66515\n16622 74289\n18953 31599\n79415 85240\n31400 95973\n4820 93543\n5869 88319\n45910 82578\n44983 50470\n11836 24725\n51294 79217\n74871 93727\n5861 82026\n54155 58442\n36779 67342\n14772 64705\n31388 69964\n68379 99348\n15908 68053\n26632 94835\n23337 93993\n6054 63908\n19559 25495\n32334 46383\n21956 29699\n58604 98525\n28557 88725\n5394 86619\n14072 45911\n70842 71682\n44666 72940\n19878 22004\n37629 54730\n7992 47479\n46964 60855\n72829 75175\n50381 75278\n16008 86180\n67270 72382\n65294 86748\n24782 91463\n13025 60757\n12408 88422\n33351 73852\n80317 80536\n34432 95361\n72839 98374\n12367 16318\n44401 62698\n39996 78698\n61529 96406\n14126 61308\n6829 45363\n53656 55393\n24173 56091\n49337 94356\n34335 67315\n18773 45409\n37835 77314\n48887 49032\n21428 84579\n17865 35326\n30898 75873\n2986 32387\n9146 67365\n39393 86278\n23138 96414\n44251 84799\n16937 35337\n12780 81568\n9658 48758\n62558 99019\n11433 97025\n45704 98766\n52124 92043\n10762 53033\n47829 94573\n72880 93597\n74660 98238\n61570 84668\n8445 34941\n2770 86145\n17395 26541\n58498 61214\n59519 94212\n15889 60553\n49635 71663\n20769 25809\n5969 60607\n2825 54595\n11303 61927\n2801 48231\n75305 89486\n15461 17895\n45052 51570\n6484 11140\n7487 72583\n41003 61817\n20897 67369\n56001 79185\n7163 30305\n12584 22637\n63690 69858\n71256 95203\n12687 68352\n38237 52664\n23011 55168\n15373 94100\n5619 41164\n64279 96791\n930 56964\n61251 61692\n3365 82976\n50464 79178\n1239 38116\n8552 38299\n20421 75147\n27846 34295\n62537 85430\n2966 75949\n68812 85628\n6306 41168\n9995 32268\n15234 50964\n85768 89176\n622 11985\n29514 40576\n24057 77772\n65821 98586\n6266 95467\n21179 96515\n5043 18491\n27257 33764\n23519 82173\n47036 86020\n17325 46937\n78861 85554\n68556 92186\n21222 30568\n25781 61183\n57507 78283\n8153 48025\n59086 86712\n17599 91202\n6710 83221\n48825 67233\n11219 12340\n45181 51409\n22539 96383\n3997 72579\n7442 36056\n87909 90139\n3795 91373\n38976 99712\n8147 89708\n1301 58375\n61480 90831\n8957 16273\n16552 19171\n71507 93966\n4238 59614\n53992 81554\n37524 69669\n30883 90086\n33379 63176\n2237 27176\n72346 83629\n43945 49004\n12372 17234\n3521 20930\n1725 83157\n59980 84375\n65755 86340\n71377 91766\n16842 77517\n3879 51670\n33935 54881\n27741 81655\n24184 80215\n3278 6262\n88794 92864\n11750 12420\n26312 92286\n70686 72124\n27421 69394\n24214 99219\n4236 21086\n54865 89665\n76845 97553\n77230 98208\n14261 95631\n12312 55417\n72597 84031\n50475 62245\n21963 79341\n27811 81994\n41064 91741\n12951 98441\n12571 98652\n20143 28220\n20199 21216\n76255 78354\n30936 62973\n12214 53688\n15837 43993\n53633 72887\n86361 86593\n56924 68658\n25442 28626\n77788 95925\n41066 73401\n27371 99975\n28863 45204\n25 86239\n5301 24327\n5385 17733\n34623 57409\n7206 76747\n49903 85983\n1590 4904\n21061 62601\n73162 85900\n34941 84027\n55341 68507\n26142 81189\n85804 87173\n25991 35996\n44373 89628\n85540 96948\n48580 77559\n5511 50605\n18309 78726\n58385 66044\n56860 66118\n502 97567\n11463 30705\n22745 73123\n5860 10731\n1801 54364\n10601 39864\n33457 34997\n60722 81824\n34680 39778\n5403 14446\n35559 86645\n10436 16850\n26199 96557\n33832 89609\n50539 97636\n1525 53702\n35838 74339\n61119 82684\n20947 68336\n51893 88668\n88603 94571\n18097 53053\n54138 93288\n3558 10865\n40862 77386\n3888 14891\n28668 68941\n57544 69500\n40773 56720\n65636 85665\n14734 59598\n48065 67804\n87458 96254\n23120 55105\n2714 4809\n9268 12440\n45226 99190\n28703 91838\n34959 69453\n20571 69729\n69057 82789\n63713 73627\n17633 69643\n52475 76644\n49480 80918\n39282 57928\n77925 85531\n21479 67523\n4566 98807\n85495 87308\n7290 28801\n4125 44402\n51174 89052\n45236 99236\n59751 90668\n34284 91654\n56892 79792\n49589 85006\n61070 98066\n29771 99398\n22307 48620\n9147 75868\n41151 89394\n35703 85282\n31060 63345\n61307 78717\n439 71192\n15422 67237\n5121 65007\n29306 73388\n54003 57235\n31622 38545\n116 22803\n14322 78170\n4774 24979\n69621 79801\n33411 42389\n8840 12488\n15652 95879\n3694 79905\n1020 29025\n13036 78637\n1113 68628\n20715 25464\n17233 35696\n12720 44908\n79857 80524\n12750 36217\n15967 93205\n23380 31325\n9215 81336\n55228 86103\n1880 65485\n9939 66819\n2854 36947\n20526 74930\n1589 78468\n67169 80249\n10084 65855\n3812 92444\n1710 16317\n26208 58132\n46221 97223\n56494 99637\n70997 94816\n5840 66537\n50529 50609\n389 50672\n30495 32069\n20218 90979\n23820 58646\n20129 27809\n62251 85604\n30729 67977\n7561 30958\n72620 91450\n32871 39134\n56719 75582\n14942 73495\n24749 82759\n3797 5186\n22720 60366\n37091 65475\n4354 45118\n55341 62190\n18182 91110\n87160 90559\n13092 65825\n1998 59316\n75951 86113\n20653 22221\n22156 28001\n29489 65878\n61903 76735\n49131 99622\n56449 82785\n2599 41772\n23373 71238\n22443 56870\n44430 63987\n55014 98962\n35626 93263\n32682 70004\n34654 53652\n7187 85738\n48573 99563\n58333 96118\n48080 98357\n49744 94950\n7980 35054\n5669 31877\n10180 38487\n17847 74200\n65225 95677\n21180 71645\n60121 89027\n10005 33529\n32219 87375\n20077 57405\n53910 59713\n1800 6973\n19484 49421\n51553 61816\n73591 82098\n20950 90495\n6661 79795\n22712 94021\n81143 94919\n8643 46174\n16445 19595\n59704 96332\n30865 58566\n45383 51476\n16223 92259\n58115 68114\n69881 90473\n15755 92230\n72017 79877\n54198 66833\n5155 49228\n33836 65515\n24435 61714\n59946 89870\n41855 92089\n27146 81274\n62145 81858\n29849 58422\n23465 78970\n59822 91336\n18955 46601\n42479 79107\n22622 84463\n3887 10492\n1694 74778\n9145 72141\n1622 92919\n10775 22105\n7334 39776\n19231 83638\n77243 91571\n34151 39392\n58622 87559\n39581 45697\n24926 48894\n59329 91604\n22515 90348\n22928 79308\n67922 80974\n80682 98487\n55666 74752\n57320 79642\n5657 94511\n40328 54591\n21888 80215\n70369 72231\n16940 69290\n23682 55430\n36902 72606\n78628 96002\n37003 68713\n49724 78847\n23407 99697\n55029 95363\n15069 47541\n20269 46012\n52538 56063\n17584 99461\n11196 55118\n13434 27823\n24500 93272\n835 52637\n2503 74396\n30415 82453\n38044 76609\n29940 75860\n26833 85898\n8007 79252\n57408 91894\n49269 80215\n13956 38557\n8607 97794\n71453 84793\n9289 20531\n7004 15789\n23558 95720\n82914 97798\n6251 16305\n69650 97967\n36881 95777\n21474 32477\n16800 48908\n11228 61257\n84600 88855\n45282 73158\n41325 91247\n16578 47152\n50594 55992\n43717 62707\n43519 76226\n54123 65334\n27848 79622\n33291 62448\n13769 87264\n28555 31351\n15200 48411\n38091 44637\n1629 96830\n15812 37130\n6051 32369\n68941 77264\n32357 37584\n87074 98963\n55117 69479\n15633 27308\n43008 73704\n57862 60633\n22332 83294\n9957 32312\n82974 92732\n32893 50773\n10877 29585\n1919 60508\n8524 48832\n52243 62105\n12727 51953\n4950 91386\n11150 31600\n21433 86878\n24343 41159\n4714 79569\n6445 90473\n19824 85548\n4614 7073\n60605 77621\n59663 98718\n24103 57390\n25050 44998\n21544 59566\n74024 99217\n23041 39538\n38586 51146\n14857 36408\n62593 77761\n1069 18339\n48383 74347\n60260 80944\n20740 22024\n48463 61251\n71987 73077\n61160 94608\n22301 95184\n37062 92636\n43869 97540\n44552 85982\n17646 40211\n65849 81656\n7744 28471\n43089 62454\n23846 67767\n35746 83418\n10489 48350\n26887 57369\n62154 67566\n18508 58592\n52480 90659\n45076 73170\n60145 96368\n47982 90767\n35548 76454\n18871 91334\n61431 75404\n16152 54632\n1389 45376\n56359 78068\n34900 57523\n26362 84532\n37472 85729\n27151 43331\n32600 50686\n42831 64468\n90524 92344\n21587 68249\n19504 82925\n3678 27537\n25309 51965\n56245 78496\n41775 78983\n89673 99398\n42179 98413\n6919 85550\n1999 8039\n29985 39417\n37093 69867\n61875 83594\n40316 95480\n41583 82773\n25099 47828\n16855 18509\n39842 47593\n77239 90045\n31007 40753\n905 26358\n11483 20151\n50354 95078\n3430 64628\n7197 17799\n57744 84359\n12718 38508\n65800 68524\n49654 81897\n20916 41172\n21546 78038\n9006 51315\n1515 1706\n64398 75451\n68782 75960\n74350 84117\n25244 83291\n9461 64630\n35260 39672\n10403 76014\n34660 41498\n24255 31300\n3585 63226\n83915 96566\n55616 72215\n1153 7947\n10041 88488\n15985 75377\n14894 95147\n60561 76742\n67820 92564\n26054 89739\n3113 53374\n4493 7188\n47863 67116\n22372 99215\n23247 62961\n73073 98264\n28876 88683\n38469 60278\n30646 93521\n27346 74765\n5898 34275\n40782 51572\n68339 97142\n42485 46723\n9864 34732\n29590 85399\n17430 50891\n56188 75697\n21929 23396\n2531 6194\n11055 42195\n92802 98613\n55627 87807\n36347 47848\n33320 37986\n82957 86577\n9445 14280\n34422 43548\n33935 94688\n33437 72405\n2339 16608\n34031 64509\n49238 50186\n51963 53557\n86054 99829\n66228 90279\n177 81819\n18006 48185\n25613 27189\n72711 88160\n20285 67593\n10405 91622\n34427 73346\n86975 86986\n24958 31601\n31028 70315\n50617 80802\n5812 12964\n29274 41862\n13558 17087\n60688 86843\n3213 80032\n11883 87374\n48769 94167\n38779 94513\n84430 90404\n2791 37388\n56936 86860\n59360 73691\n3811 42712\n54691 85278\n46095 69013\n17213 60086\n51803 97260\n18512 22989\n62935 94974\n2891 86018\n23975 87110\n6973 92269\n6234 59023\n51854 61955\n30638 79458\n8374 22256\n67221 72969\n34034 92371\n9492 14929\n34489 46280\n70896 86773\n21687 63320\n63064 87793\n9582 20819\n10917 89570\n12643 16240\n18908 41579\n23330 71671\n34593 45579\n50469 66611\n10232 15807\n45633 59168\n29964 35126\n10480 49078\n71432 97588\n32155 65392\n35614 98532\n9346 82476\n59649 81943\n1457 50359\n45269 94411\n22263 83594\n57072 96933\n40074 78053\n47953 92717\n11374 21756\n24576 92835\n1411 50291\n16383 57878\n43603 94827\n4125 83897\n10628 50923\n64565 97624\n6068 50033\n21990 84768\n19625 70669\n94498 98491\n59505 92804\n41168 82255\n42007 83344\n37479 49308\n76759 99670\n27337 81461\n89628 97872\n37074 72670\n50950 91266\n86757 94822\n72759 76388\n48925 61633\n15335 37844\n20838 98489\n3670 89831\n48529 70148\n39432 51097\n44111 76015\n52358 59482\n38224 48635\n58771 68249\n33514 45995\n19934 32561\n242 99603\n6042 36825\n4298 19106\n87193 93745\n26343 71928\n17388 41820\n5905 38107\n9705 26107\n18324 62145\n4659 87562\n9586 44809\n52843 73296\n20052 59061\n75366 98276\n26130 91202\n90774 92930\n83142 89665\n3878 45248\n33354 99241\n14158 59219\n8721 79607\n23242 61367\n77540 90817\n1161 10610\n83851 84881\n50170 69480\n72447 94522\n1496 81868\n51258 95718\n2633 48284\n18083 44926\n45287 84089\n40581 60977\n71122 95538\n10657 56025\n43323 66299\n77685 99624\n56542 89787\n59657 72832\n18836 45181\n33398 81110\n79942 87393\n26815 50464\n39233 96155\n45730 62555\n44208 93226\n40378 66304\n34366 77440\n13831 68769\n35884 69362\n31597 59241\n1720 80864\n2507 56780\n64885 94095\n22156 43852\n9235 49040\n7201 66999\n95711 99678\n438 85870\n40384 73096\n27591 56224\n51367 70088\n22404 93906\n9677 81727\n78338 99974\n81854 96231\n17211 46364\n1563 8212\n6003 77292\n11945 75881\n22926 43332\n68978 90380\n55239 68154\n77973 98665\n14205 68620\n64380 92214\n3267 35170\n9623 11738\n22526 22756\n30908 58006\n48653 97320\n14156 31747\n58267 71229\n50255 98234\n3653 46959\n32559 36620\n2331 36968\n52212 58698\n12719 22636\n6578 30092\n32205 71135\n17036 97378\n31752 64705\n9031 38815\n25215 99599\n33527 62264\n30750 88534\n83165 99307\n18990 39376\n4486 26896\n32500 92858\n39360 91882\n11888 47920\n3100 35101\n36350 45719\n35033 69219\n71624 80334\n40311 42817\n42509 79408\n23908 93218\n28396 56618\n83288 95026\n29232 69237\n52835 98451\n6077 47929\n19388 49948\n74402 81011\n703 45394\n85812 91718\n56428 70784\n15522 16541\n18696 77203\n56956 84426\n475 86831\n33292 73240\n51313 65213\n50295 75424\n32668 52997\n14790 23678\n26449 27660\n1044 37385\n31650 71457\n7089 84179\n67729 69350\n70791 88815\n32617 54954\n28366 67550\n7160 25289\n8064 65981\n37323 58057\n65039 76659\n61307 84947\n28661 35589\n33494 44644\n13021 78254\n18678 23670\n47540 86618\n94824 98449\n2570 10261\n31446 91448\n57290 66325\n65977 69475\n24952 45838\n56126 66601\n85675 93154\n48603 64093\n37704 78265\n39435 69019\n72212 77581\n6059 26762\n41617 62278\n29568 86380\n20475 92521\n38195 68184\n42574 98636\n114 88924\n21655 31411\n32316 33878\n9375 84978\n28675 90432\n37671 59336\n36705 59171\n253 30842\n34019 78296\n35298 65219\n46754 61692\n12703 90788\n480 99426\n23677 71188\n9129 30125\n85032 94187\n42085 54120\n10129 30461\n45009 51110\n58499 60831\n46775 65231\n27100 54247\n56656 63181\n40831 50067\n11491 86600\n12347 84294\n64115 73648\n9347 15399\n30048 31581\n27318 89065\n1786 31994\n62176 89024\n95340 97939\n2625 82525\n4157 89815\n65151 97297\n10923 29675\n28229 85765\n57750 95213\n38391 90619\n22520 71973\n10293 16091\n17589 47763\n25467 45766\n28420 47066\n22477 67521\n14214 73797\n8897 11490\n32571 77097\n43072 47937\n22567 88930\n19447 53501\n54492 65903\n49547 52655\n56605 92584\n55630 63381\n57360 66302\n11948 76137\n5125 8931\n44613 65867\n47283 83384\n14695 26360\n19659 67812\n48457 55305\n30645 57097\n67872 96376\n12198 78196\n37688 85408\n50282 80176\n48326 49937\n912 15059\n14940 98164\n41502 98461\n48235 93704\n34654 87839\n53131 55700\n16964 87757\n36416 51036\n56994 64124\n63315 80789\n38223 48420\n69380 93521\n4224 100000\n63940 83421\n37418 95730\n14856 16780\n33519 75225\n4823 88322\n7894 19669\n61664 70198\n47120 52432\n88071 91638\n6842 40409\n21695 48245\n24888 27376\n69766 72484\n51928 77015\n33007 72044\n33896 69367\n25999 71500\n82958 98802\n26987 78173\n12852 21239\n52879 53341\n90446 93663\n15568 86708\n3566 97067\n18805 23474\n36400 36921\n53699 68222\n59740 85807\n18161 38599\n4564 46296\n38620 67508\n64705 67560\n25079 26082\n86825 93615\n61807 91609\n34985 80712\n3166 94542\n42219 57577\n64957 87369\n24771 56463\n13035 97769\n58750 69663\n53493 90743\n56367 70607\n20185 59568\n51640 66014\n12528 95614\n65782 73989\n9619 35578\n75297 89862\n2473 69986\n984 25507\n2350 23999\n52800 85698\n64177 99889\n11966 25383\n71726 87991\n17924 70191\n27955 68698\n10824 91245\n42917 48176\n47100 68272\n25983 57367\n36397 93481\n3811 18739\n28101 34253\n29034 93570\n6007 35443\n43104 79782\n73134 77525\n38412 65609\n41282 54583\n12645 12834\n39622 47503\n8134 43160\n25102 40315\n58103 78078\n39837 50723\n80682 88518\n10610 63961\n34405 41454\n27603 50646\n32470 48951\n9060 82053\n23917 46867\n90968 94859\n694 60426\n19583 25457\n55637 64694\n43205 61392\n51529 87320\n6801 53194\n3313 36728\n59349 63010\n16326 36453\n14354 62717\n12262 93631\n1 70430\n54390 78483\n23959 50752\n13222 39572\n7680 63932\n70518 93529\n73414 97946\n9671 79399\n20021 94724\n31385 66751\n71178 81593\n87908 98843\n7670 74296\n49597 59267\n23576 81126\n25613 39670\n48043 62237\n64362 90303\n65973 96165\n3675 78298\n61489 97720\n12362 19880\n11491 54202\n13557 24865\n33191 89737\n83399 89743\n19648 84145\n34661 65993\n6409 13135\n22235 38941\n28911 29927\n13180 15440\n12988 71923\n61286 87038\n22962 70666\n12309 56826\n10445 85239\n46268 88042\n52520 56294\n5531 73896\n46698 99047\n2677 19913\n33222 66360\n57102 61168\n4675 40328\n4652 51240\n23306 59965\n38285 75170\n25193 56447\n44102 61032\n76208 98504\n8615 75594\n14087 48095\n71094 73586\n73502 86362\n44869 86755\n80746 96508\n4868 60854\n11474 62449\n36188 83006\n22834 61863\n12016 44265\n42926 95450\n50915 89996\n60518 67747\n2555 95462\n67393 79929\n12434 15613\n5734 50200\n3026 51819\n42568 63672\n44588 69056\n84006 97487\n18956 57050\n17172 53892\n37790 93768\n66042 76598\n54638 62130\n45302 74643\n36703 41471\n65430 94113\n30782 49018\n8385 20795\n31337 60133\n17678 78022\n33916 67850\n28186 59641\n7877 9300\n35722 58497\n67732 77076\n34304 98556\n27350 35038\n32875 80096\n62444 82300\n7784 56753\n39627 58368\n13375 79563\n37526 71002\n58412 60505\n9585 47877\n83683 88080\n686 20326\n34539 88673\n28823 81551\n7295 56285\n23373 49881\n12879 43217\n42426 89624\n6419 39715\n57213 94686\n38814 88532\n15533 97542\n3727 8076\n46812 84247\n7577 78238\n35522 89008\n6933 55162\n2375 13921\n69690 96163\n33675 45953\n4680 81018\n62343 76265\n52616 79732\n7331 32620\n68725 73385\n3027 88314\n63317 66113\n1267 26920\n75569 75892\n48598 90547\n58203 66835\n4210 41944\n48033 64762\n57557 89493\n54471 93380\n31673 97154\n2881 4971\n28318 51418\n6844 27881\n55016 61875\n39382 50823\n64503 87344\n53025 84173\n19400 26065\n8129 87206\n21724 25504\n19386 34063\n53884 57869\n3358 67377\n83318 93576\n13011 49523\n22794 67785\n18948 49349\n3415 77259\n16298 52714\n40791 85443\n58489 95003\n51406 81565\n23341 26915\n79467 81448\n54046 80925\n61585 86088\n61266 83617\n27830 87742\n76483 77837\n25603 61937\n58504 69090\n7958 77773\n7346 11257\n20035 79923\n42558 46988\n70996 95280\n1008 54436\n27936 88885\n36129 43424\n4468 82814\n89755 93698\n66739 99737\n10862 78268\n11943 22762\n54057 62693\n3969 5837\n78831 86534\n96064 98097\n37530 46201\n16362 89421\n2245 24952\n80057 80330\n48691 58139\n33659 99575\n43561 91527\n38873 85895\n38427 53903\n14819 23220\n83505 92880\n2350 69085\n5130 36962\n43063 80999\n10446 70786\n12666 66756\n20492 97559\n718 84314\n1853 87546\n50539 79283\n34997 78837\n67303 67993\n53906 87497\n68124 68484\n26704 81471\n60601 74214\n35400 56010\n26131 59972\n27497 69576\n59307 72417\n26738 31478\n20172 37021\n4250 16113\n7934 38076\n6649 80310\n32747 46395\n39729 85180\n21253 54567\n49315 52462\n72560 94119\n23045 81099\n7765 72560\n18841 44336\n11995 69991\n47063 69375\n6950 92104\n409 99868\n39651 47446\n7411 92024\n20066 96002\n41064 52498\n2477 35611\n62980 89667\n20594 72817\n2510 46209\n60864 73701\n88141 94887\n65755 78087\n50343 55880\n55269 85279\n27786 30375\n55614 79144\n54866 58550\n39687 86180\n33904 73387\n18682 29657\n41501 76570\n11004 87003\n50017 65002\n73389 90650\n51569 93012\n20268 68572\n22260 24865\n4876 11366\n40942 61016\n32341 40739\n1062 31838\n74148 78413\n28820 59316\n1345 52107\n54621 71927\n6652 93947\n30108 47688\n21719 86739\n1050 30794\n22358 42521\n23456 46539\n54669 71132\n69409 83386\n24253 46112\n8906 72815\n52902 94383\n54925 59005\n41568 86760\n8027 87676\n11091 19187\n3179 76291\n28255 32356\n22177 30406\n13181 26372\n45753 79932\n11740 52698\n43557 63402\n11431 95737\n20321 65133\n739 20865\n65660 74873\n41836 79120\n15746 52942\n1412 90071\n8594 83572\n19365 56482\n57322 59109\n40458 84783\n16559 18748\n61103 83251\n12171 27214\n32655 60337\n17026 94175\n86200 90627\n60731 87514\n17794 32102\n21644 34938\n71513 77314\n6530 32194\n20581 66248\n33015 80422\n18228 91024\n14493 26054\n24145 63150\n1996 92261\n9576 29340\n10903 65944\n51650 52948\n34120 68701\n80550 87708\n12031 48591\n10131 30158\n33597 65096\n59343 71614\n2496 56984\n85798 87345\n25228 34124\n56374 62248\n66957 97802\n83070 99788\n23130 68167\n50319 63893\n39489 84043\n22576 63085\n25639 47402\n17872 69558\n38858 57972\n3836 47107\n25070 87268\n21058 31109\n33824 61724\n30907 66681\n44011 86174\n1204 58921\n37983 55483\n52719 53131\n11582 40253\n21466 25123\n36688 37527\n46708 60356\n54373 78999\n14237 94473\n18948 34083\n33251 47676\n61979 89550\n9443 47892\n17744 39849\n802 8164\n88959 94667\n89981 92847\n12000 31081\n30885 65357\n11302 94698\n10945 32998\n1725 79225\n40688 51716\n24222 58371\n110 84140\n12349 76863\n22987 96984\n13236 42165\n37190 74671\n2794 14965\n49339 74511\n24921 65615\n17617 41167\n19942 85408\n2690 45896\n7826 40419\n57066 64859\n6374 18912\n2711 23573\n10933 88802\n49231 82318\n42984 73175\n47118 70918\n78730 82300\n43630 87454\n50453 53256\n16281 89837\n13221 43854\n21284 29209\n23775 47251\n69461 92060\n71306 72047\n8462 79024\n25886 41378\n44716 71721\n17380 39612\n60378 67881\n14997 17871\n1482 35398\n69878 77000\n1859 57565\n44762 92705\n57726 61142\n57810 95158\n21465 93562\n23391 84346\n13856 71245\n2261 92044\n3831 18976\n10226 76188\n13628 78649\n583 48267\n32611 85794\n32260 84575\n56737 81690\n58034 97938\n26575 82475\n31328 83103\n3600 61829\n69787 79347\n16488 83485\n16724 39603\n65370 80185\n39900 63742\n26230 75478\n60920 66038\n69444 87785\n24824 40305\n27866 32383\n48716 69592\n54766 98010\n44485 51880\n34987 82609\n33251 63694\n9139 54105\n11985 85363\n44824 47115\n83958 89039\n12180 74120\n38940 94197\n19732 76664\n56705 74002\n9622 20929\n47576 58475\n75907 95101\n1943 34603\n15366 79507\n16409 70962\n79701 89929\n15484 73440\n60467 96641\n74554 75793\n28691 97187\n22346 87979\n33022 88845\n12802 49204\n1381 45760\n6024 34939\n2473 29277\n10046 92228\n10857 14150\n1086 77821\n20859 25678\n54704 80037\n3800 25673\n60648 91128\n67139 86803\n46070 75521\n43535 50256\n31320 54959\n25281 45428\n7818 28529\n13242 25537\n67808 97488\n14061 28501\n1123 31330\n30587 62320\n50039 73882\n66730 84229\n36593 99439\n53452 71590\n19818 77029\n26278 87078\n53484 99444\n197 23739\n80347 93835\n12576 18383\n74548 82782\n87912 93072\n24827 92769\n27337 91539\n10334 43621\n45699 86531\n45592 74011\n15897 20076\n40996 97608\n7 31665\n42598 55109\n54379 94580\n47980 79696\n64708 69340\n6116 79948\n41188 81776\n25807 70849\n18908 62868\n7881 30998\n33393 71588\n6673 22028\n19451 58560\n48059 75590\n48401 60342\n57457 83003\n22172 52862\n7238 21443\n92136 92572\n30608 84902\n19277 63916\n17568 24057\n35989 85279\n25774 58453\n28219 33047\n15455 52736\n37289 53720\n1238 12656\n8819 45257\n4650 24824\n59488 61083\n53990 82084\n20366 76691\n2352 31094\n49857 76345\n3125 37592\n47031 93200\n43209 87573\n20873 37198\n39061 72871\n9596 31536\n46330 70167\n9705 17282\n29912 72693\n52265 91146\n60591 63993\n29188 57140\n15955 88420\n3399 21773\n12285 83998\n69915 96135\n80384 82437\n15799 68592\n9348 56942\n29779 31586\n56714 73230\n11455 48536\n31608 65452\n28784 34186\n17468 32633\n38910 59349\n43664 84923\n5182 69163\n7157 76125\n62816 90229\n11785 99974\n85086 89595\n90020 97367\n35956 48001\n15709 29488\n79867 84026\n46009 97712\n81279 90509\n80539 85162\n10943 17481\n11101 71785\n2876 91642\n7326 91825\n23215 97155\n53624 98712\n7183 78848\n45789 94480\n10091 39650\n25604 83863\n40197 53984\n29544 46088\n23659 90927\n6974 35906\n47352 49455\n43598 64189\n27566 48680\n2076 54954\n48207 55489\n23521 37909\n5352 67039\n1466 32837\n8643 60745\n33955 73267\n54195 99595\n9914 44009\n34098 92426\n2711 67880\n7102 35298\n3663 76602\n52027 85962\n16285 69107\n38100 49877\n88085 96279\n12804 43699\n46463 96483\n13934 58451\n23570 94594\n14950 35734\n53229 85659\n20430 21759\n65227 71906\n13026 22481\n4790 14185\n2426 57440\n10387 14752\n29911 48864\n88765 91624\n52335 99742\n24943 44270\n27612 33998\n10294 10930\n41659 81375\n49814 89065\n14212 73427\n4998 31221\n35409 89514\n27052 82196\n89786 97100\n30025 55602\n73135 91645\n4677 64843\n31881 52470\n70926 81525\n7867 47992\n14991 39475\n57443 72791\n35324 74063\n10391 75305\n26477 97291\n18984 31126\n75273 82231\n30245 55819\n65217 76416\n21329 75530\n8766 90817\n10901 76747\n9407 40594\n47370 76914\n5031 57316\n17427 84339\n15391 70598\n42730 86946\n49841 55319\n18362 39791\n17412 64778\n69857 98308\n15979 99980\n20982 87303\n44153 56214\n10250 58595\n54414 91088\n45336 55023\n40213 60020\n17063 35805\n11166 84471\n32514 83944\n7399 61290\n15570 93178\n19213 45812\n18926 76615\n12430 49676\n46447 79631\n24169 45058\n65606 99183\n42943 96328\n37858 84394\n28444 34162\n56685 75308\n53735 53849\n56971 95628\n14812 66931\n26738 42301\n8731 67679\n12130 75947\n84008 96452\n43184 87154\n87433 93083\n62904 81238\n63655 94971\n22832 99140\n7357 38593\n26545 39101\n13227 37770\n14165 31628\n7994 82113\n5122 62423\n11211 84822\n26590 86435\n19052 65644\n10607 50257\n30240 89889\n38749 47346\n14224 92007\n39576 41230\n56070 62506\n40640 91930\n24792 33904\n35971 82436\n14777 95760\n15383 94740\n10155 82285\n13973 88149\n11562 79002\n95738 99601\n25916 35336\n4547 9786\n94245 98705\n22831 45462\n50693 56351\n27570 94252\n85597 91146\n1482 93779\n31468 72434\n70177 84582\n36744 71075\n11562 54662\n3591 37426\n11855 45092\n26367 62208\n14141 79162\n19484 41137\n59152 85542\n32141 71675\n16685 87386\n27877 65590\n3196 27318\n15772 87251\n9285 10416\n52929 90625\n7769 24074\n4003 81335\n9632 45276\n8031 86483\n44783 81777\n2294 14716\n24481 99397\n7031 88541\n41862 90258\n6826 13649\n67167 77148\n65243 92532\n3738 63257\n53464 94437\n12819 60487\n36350 81612\n70316 94017\n4303 22053\n66526 75117\n41538 97521\n44620 95823\n29392 40947\n33854 84365\n10935 47670\n15444 80113\n13199 68308\n35765 51775\n84818 89498\n60066 68420\n51440 73082\n3184 41030\n51176 52247\n89324 96806\n41063 74939\n45960 52668\n74599 95504\n46293 99943\n30250 94186\n89518 94643\n7148 31465\n93130 99181\n7562 12365\n55615 76875\n41391 84168\n16805 86764\n82796 94628\n5114 54809\n1437 33175\n10601 84429\n54519 93630\n31141 59556\n57729 74992\n41386 90474\n59062 93512\n19040 70841\n79784 84463\n59964 90500\n39967 73524\n47594 57604\n22116 28033\n5029 14358\n24834 93760\n23926 49363\n17491 92457\n14325 46830\n14441 16538\n41376 94161\n11425 30786\n82452 97738\n4694 95509\n35684 37555\n10409 78950\n67385 71046\n54271 63644\n20977 34096\n2420 67303\n36634 53177\n27756 66075\n36220 76194\n4969 55806\n15895 50870\n15833 72254\n43214 62142\n26496 54476\n5139 5903\n69296 96714\n31267 58338\n2245 21217\n26080 53776\n46930 85450\n7728 50926\n16299 43500\n50693 84552\n32448 98043\n50500 80351\n1366 12154\n62656 79275\n56158 99898\n59554 84524\n80672 84363\n62872 98681\n56148 89882\n24769 99110\n7037 86683\n38839 98010\n47817 53766\n56820 89463\n56304 69992\n43594 56079\n45258 72747\n18700 82279\n53200 97440\n15515 43838\n56457 79475\n65319 75901\n26026 54690\n4308 43044\n22530 37929\n53473 57337\n53612 79954\n13142 45576\n54539 62441\n54354 98408\n23129 26986\n44120 94815\n4924 37772\n47364 47710\n94027 96552\n6267 51495\n15623 51328\n13696 37257\n9699 23125\n12689 86457\n35726 86142\n34500 56919\n14349 39690\n45033 91564\n30614 58262\n36425 68811\n11736 38300\n52576 82177\n29405 50982\n49512 95211\n16506 90519\n2576 73634\n56256 85224\n8933 66982\n17366 37273\n54303 86244\n5880 17383\n81051 93068\n60699 67050\n44464 71567\n29231 64161\n16448 43757\n34473 80124\n3493 27433\n19379 46264\n10787 77340\n32372 91924\n5577 32389\n29850 55028\n20544 86069\n41388 91644\n44424 89969\n18000 75327\n2616 74419\n51410 82480\n14230 75985\n58987 69299\n22566 24024\n46214 52587\n80297 81588\n15807 33414\n36016 71668\n4223 81170\n79175 95696\n1732 67178\n67794 82927\n70380 90024\n41309 93709\n1903 33999\n46332 73658\n20556 70415\n45205 66877\n45003 81393\n40990 84900\n52115 52857\n12249 23146\n44240 48307\n68623 79774\n11250 19020\n7105 79308\n43041 99961\n65787 86719\n48861 63205\n21883 78023\n10664 36769\n38047 77661\n8956 78508\n18974 24215\n9208 27197\n79408 93224\n8393 48921\n50791 83501\n12245 95936\n44681 87460\n7800 91512\n50407 97385\n87030 96967\n66880 96164\n4904 77887\n52933 53959\n43030 58347\n3236 63387\n3010 7941\n2217 36527\n9857 23537\n54881 65711\n12142 55688\n7616 56225\n43485 80405\n41630 52777\n10715 33015\n26982 51154\n60773 80635\n26414 60387\n44148 74076\n47540 69475\n1499 61868\n39999 48835\n28303 75166\n3564 64460\n4271 96243\n47827 73098\n11732 88428\n57417 80930\n86596 92859\n35134 47044\n16230 58480\n8996 62535\n56121 86652\n14218 35545\n41337 69717\n27458 69833\n18540 78970\n3596 34295\n33414 67392\n38769 53698\n46439 67751\n29013 57966\n40405 50689\n37208 60256\n51654 64395\n46930 48642\n29046 81656\n36134 98667\n37655 67539\n14005 83588\n59293 70994\n14770 57520\n36029 77326\n1286 35355\n13863 70603\n52711 67253\n37591 89375\n89533 97138\n82608 84053\n56215 94940\n5165 9455\n41884 49908\n3521 88962\n1343 42770\n80563 97777\n16046 71463\n47894 53643\n40818 76405\n16722 40945\n2202 66852\n84747 88996\n61736 84355\n59489 72270\n234 88614\n24376 52629\n19405 31094\n19322 81213\n5247 92150\n85046 86763\n41191 53725\n5032 72809\n37048 73923\n41371 45678\n40314 81402\n48791 54080\n29096 74688\n32766 68357\n24176 93293\n2010 90475\n47859 99593\n21622 37123\n25448 69016\n26645 41815\n4165 83567\n35395 76519\n30449 46092\n63954 99816\n57805 96196\n8571 17943\n621 28664\n38545 53945\n42991 52053\n3692 71245\n52608 96245\n44742 64146\n68287 83392\n80249 98397\n11962 60850\n10664 83839\n80574 84975\n40342 91550\n13072 82560\n13583 89346\n17645 57121\n75081 96102\n28620 52704\n30053 49716\n5564 11724\n585 50236\n79788 84922\n66666 89147\n42182 91145\n24296 27264\n34063 41921\n34463 99217\n5851 97265\n44636 65051\n21050 73586\n30929 76526\n37970 53346\n22878 52305\n16342 95265\n46177 58535\n63271 95506\n31031 56130\n16442 75198\n11760 12634\n17997 79397\n10465 87654\n16014 82972\n6914 38098\n94898 98070\n34928 65529\n22913 31181\n14215 83853\n48078 70196\n36581 39765\n73955 95119\n20022 99627\n81626 84271\n68106 70331\n86820 97709\n21156 77582\n75595 82766\n41941 92588\n49448 53237\n63414 83678\n15 54039\n9226 90167\n20165 94756\n22982 95219\n74766 98873\n4149 5175\n22935 69049\n36265 71318\n36484 82783\n25395 62535\n58276 76250\n26797 40276\n70256 72447\n4519 63061\n36608 45078\n26255 99956\n32337 55450\n41514 96256\n2117 67093\n6624 34264\n48264 70093\n18920 61323\n28619 34445\n15484 88310\n16415 99739\n559 33147\n9843 57192\n66252 84962\n7282 40647\n1326 76544\n66166 72545\n5704 90808\n11622 70648\n24610 82330\n72195 83039\n87972 91264\n9366 16080\n24784 95976\n60367 65077\n2739 67312\n41666 46675\n14941 84128\n11766 46915\n27046 81865\n36292 86693\n59530 77556\n37887 40982\n7065 16453\n13935 92248\n64369 97134\n31868 74994\n4822 84447\n39155 40670\n35839 45205\n41252 91554\n16656 21406\n22155 92042\n78091 82499\n98921 99616\n24688 91449\n18276 20725\n9774 90903\n9443 43787\n34796 76599\n37596 44542\n14363 68840\n62262 97980\n56136 97305\n45912 88741\n10246 76957\n16703 94977\n5299 66159\n19886 23237\n24778 81110\n22116 58413\n45017 91763\n16 68285\n30134 73562\n3305 21703\n27151 89549\n7559 56418\n26645 91130\n21943 95779\n77546 88718\n61083 71772\n46198 99519\n6793 46895\n44789 52323\n76377 93957\n38188 78055\n4276 8719\n69861 90694\n6910 49096\n53300 72187\n64790 89540\n23514 95940\n1836 52549\n14537 61915\n64673 69635\n7382 66020\n70420 74347\n80444 90354\n35214 77519\n17091 20073\n56671 98569\n28649 50451\n65402 89675\n85071 86472\n8199 90677\n29160 65488\n53309 82283\n17756 25948\n57858 69704\n4973 37910\n20739 36421\n5865 56342\n33715 84546\n34820 37495\n2274 41506\n60377 82896\n59153 97542\n87692 90639\n77752 92732\n15542 79282\n37980 91204\n890 83385\n40722 86589\n38515 42101\n18702 25035\n32465 81856\n10173 28390\n21729 58778\n14209 64279\n71184 94488\n1744 73158\n71585 94368\n66240 73450\n3502 17618\n12862 14630\n48068 61263\n45010 94080\n9526 66795\n39580 67507\n37766 64616\n59043 89750\n70668 77800\n90334 96520\n21876 88235\n82128 95855\n48232 66754\n60953 83403\n38265 89672\n45733 81666\n23110 50593\n18799 55296\n12430 19649\n29246 70913\n22782 24905\n56903 72931\n12956 77702\n81942 98699\n57055 73807\n63991 93454\n1051 18505\n92256 99756\n74688 80300\n41268 41603\n38827 64029\n33726 98728\n63155 83924\n58611 95724\n13501 92927\n39260 73870\n75328 97455\n53760 56300\n9252 89685\n44026 87486\n14692 46818\n26918 80443\n11530 29017\n14325 97586\n15133 95710\n36823 73965\n27681 68703\n49072 76089\n11219 41099\n10603 73319\n28787 53323\n36027 48787\n49307 99550\n18946 83999\n19364 85720\n58368 91601\n43426 54001\n19688 69957\n77826 90662\n19817 37853\n53541 93201\n1617 62601\n667 14572\n32373 67440\n10590 80895\n65566 86994\n13035 86597\n80839 83242\n15359 84494\n46287 88592\n10296 34836\n14909 73820\n88893 92777\n5860 75000\n42716 65595\n35512 65686\n4428 54570\n18250 67909\n46006 64650\n41099 91861\n44823 52094\n52863 69006\n9914 37419\n38633 88148\n5681 31062\n9388 17788\n8661 56357\n32875 48488\n12208 82882\n9679 64105\n59497 92844\n30837 79531\n38541 92265\n3579 89687\n48575 73180\n15631 50423\n67121 92037\n20396 27583\n28714 36913\n2398 54859\n3264 11095\n963 11446\n4730 68847\n62124 66474\n34674 51583\n71734 98986\n51831 68980\n5173 26171\n55279 93911\n20840 92425\n43909 88681\n87746 90031\n4041 10003\n61395 88514\n15392 19555\n24086 92946\n22132 65616\n4137 47598\n19712 43379\n20312 91489\n38856 97236\n45563 47977\n953 59250\n58360 63564\n56601 79273\n34711 51500\n1128 52483\n72673 95913\n16924 74753\n7724 20002\n65623 95925\n4228 76873\n25643 76460\n4090 32313\n59616 78753\n80098 87207\n16694 75740\n3581 92301\n53249 69990\n38517 65537\n1836 77018\n43669 72439\n54757 66885\n23533 87306\n23056 82053\n34711 62712\n64732 68856\n32900 71170\n66356 97859\n9214 75004\n30474 88799\n14127 86511\n50291 55351\n1632 59457\n56549 95856\n57573 67850\n94902 95109\n6293 14641\n39740 87277\n13375 90878\n5950 6752\n67882 98089\n30513 60034\n3416 84839\n17038 26016\n6185 46274\n38820 68953\n6311 34261\n2345 22833\n9816 76375\n17775 62874\n24356 39132\n39084 82466\n34126 69020\n8147 39129\n2278 24413\n60869 93164\n20161 93803\n79120 89960\n16231 17949\n18597 19697\n66481 89256\n13629 78286\n53030 69476\n15984 75390\n5808 68386\n66521 96907\n28303 75028\n13875 63219\n45018 46530\n47365 57117\n60353 62708\n42527 45481\n6812 46785\n25710 51145\n6589 64803\n3612 99471\n24814 38249\n56277 72571\n2922 17027\n12992 57575\n42076 64671\n65118 75156\n35582 48879\n41272 43841\n27044 73260\n20252 96527\n71444 94149\n82780 84729\n25359 88245\n29241 34246\n57511 58557\n43759 43885\n68840 71311\n32366 92401\n51553 96816\n18161 39242\n60331 99664\n16608 38740\n14471 85242\n87623 98099\n26842 78050\n27043 85611\n13093 54274\n53577 85536\n10794 66370\n37965 41067\n46555 74348\n16449 46340\n3595 13459\n42357 45617\n10953 11571\n42332 44827\n36126 43056\n10843 49961\n43592 70871\n52057 74901\n52584 74017\n5547 36076\n4402 25309\n8078 41774\n37983 63070\n32722 81451\n84435 86191\n23164 86936\n49943 76870\n43643 64937\n18619 52351\n3124 75353\n1250 73892\n38327 65930\n44102 85060\n6431 32516\n27633 56740\n43361 75506\n73622 99218\n43313 88530\n21324 24384\n52973 57686\n2840 69026\n1624 52925\n6296 30816\n4629 38181\n3721 33207\n11528 66606\n38496 86779\n90027 97888\n27276 38244\n28647 40929\n19987 29184\n54319 85982\n23825 98568\n36102 92043\n20103 63050\n53011 74087\n3529 46838\n23086 98889\n58109 95709\n14117 69913\n39287 94308\n24771 34142\n78310 88350\n13238 28436\n878 92757\n23025 33731\n52763 73195\n29893 56925\n31499 54989\n66360 75386\n91112 99553\n30681 63976\n92911 93002\n79846 88723\n30507 66304\n2878 35784\n59292 80844\n29312 75569\n54604 94632\n46442 49327\n16203 21388\n55377 61197\n47166 85918\n42897 95501\n42043 71807\n73298 77690\n30033 51020\n17770 72845\n5390 87352\n18019 27965\n49135 81479\n47630 66125\n5600 14328\n5291 15216\n76253 78357\n71229 77548\n32630 76594\n14782 50684\n70370 83933\n22259 45670\n71435 83766\n65203 96209\n80440 90760\n62704 83448\n48082 59890\n695 36890\n3510 96659\n2479 55517\n46386 97536\n4866 55198\n16706 76180\n5112 48806\n1856 16554\n19471 41285\n52000 56586\n19311 66105\n22652 89340\n36792 95539\n33684 76476\n17742 65526\n5071 90310\n31562 57664\n29221 56842\n31963 53999\n5907 75812\n7803 40914\n26007 83609\n57400 79538\n60052 91348\n34118 67925\n31077 40946\n5952 72603\n52280 80500\n10955 44954\n8778 64865\n75639 90024\n20296 96383\n26134 94874\n24043 72503\n171 86113\n26122 55212\n66124 84112\n12413 93779\n9455 40516\n51070 99997\n51188 70621\n35654 49048\n52777 71449\n11120 69505\n42429 90427\n17277 73190\n23324 99683\n9998 50618\n2229 86006\n61603 79118\n40673 60653\n12552 93338\n48645 50537\n54022 94099\n59533 70393\n55774 75656\n21395 38584\n26212 73188\n20897 61722\n4734 32876\n33273 59224\n99143 99944\n53067 58969\n452 24537\n58381 80168\n8493 23946\n8172 97244\n38032 99291\n47385 88013\n58356 68381\n91017 97972\n139 12508\n4079 62938\n29822 84402\n32705 50850\n16842 73350\n27631 58165\n15684 40100\n66867 71589\n39734 52840\n12189 39719\n85225 90539\n1477 59174\n33600 93014\n15387 63938\n83548 97146\n52297 87027\n38621 58652\n12065 73508\n63405 64342\n47736 87100\n37633 67641\n47081 69546\n67172 67938\n62252 98401\n35186 65867\n15048 37880\n28760 44617\n31598 48878\n87280 95019\n24607 54487\n28845 50433\n10543 41045\n2560 8568\n11029 45861\n38657 50697\n65105 76370\n15558 31841\n15668 79884\n78432 90844\n16578 89619\n24632 66798\n76815 86516\n12708 64050\n68026 75717\n4351 69867\n1702 52866\n18315 23600\n11027 63966\n57047 76248\n29192 69600\n4900 35338\n5674 28979\n7070 24661\n61644 72077\n2346 31233\n93357 99676\n28983 71177\n42811 55117\n2174 26463\n48162 69757\n89548 94771\n91610 96750\n21470 29633\n3484 70329\n11846 92205\n41987 51169\n22183 94382\n50007 78381\n23918 65985\n63670 91792\n28558 83967\n18345 78487\n7562 84964\n27666 68382\n76281 92918\n10650 45973\n38256 45402\n35197 52423\n51898 81394\n55415 77917\n20240 67795\n2200 53537\n19908 44803\n17629 22773\n32093 87283\n68209 87145\n48141 84383\n77443 91783\n14062 92245\n41984 60118\n39441 53482\n5787 94141\n12596 22164\n56416 61889\n14274 34290\n25826 27815\n39103 73514\n45687 98908\n22407 42290\n14230 56887\n86701 95097\n24749 56189\n26746 75501\n45707 57071\n34823 78522\n72004 99983\n30881 31528\n73308 95794\n21348 21986\n23412 67581\n66190 87827\n87613 91759\n22605 99183\n1314 88190\n39028 54692\n72472 95875\n31508 54230\n41983 93854\n43740 84668\n88356 95807\n694 30692\n41147 50214\n28231 29352\n24184 74911\n14030 51076\n53539 92063\n73318 90489\n16304 39841\n12315 72315\n20292 87888\n68044 95049\n25360 26226\n18928 77917\n6615 80688\n35425 77714\n72135 85909\n30167 64878\n70310 94621\n84734 84954\n18592 65136\n74292 83432\n9442 29820\n24291 35321\n50634 95463\n9825 75051\n51148 77449\n30503 75082\n28070 64930\n39411 51872\n26348 54784\n3283 21539\n45290 58542\n11303 86600\n33448 81741\n16395 50532\n37291 89319\n73675 93155\n50026 66984\n42771 94551\n40140 76364\n33934 86974\n65151 98408\n34499 43147\n56053 93350\n11361 49064\n61113 81744\n25076 62909\n48364 70004\n91476 97348\n17733 59562\n1825 67876\n46958 56815\n15411 15981\n20183 88974\n3293 86557\n16165 24792\n30138 36469\n66669 83423\n24089 71443\n24043 69626\n12737 73674\n14712 66449\n8759 27900\n24560 73686\n12950 29436\n35596 90974\n12178 21377\n8041 52971\n68805 95193\n25653 93304\n2731 87715\n26503 70895\n12338 78907\n53867 55720\n19010 20082\n31482 36124\n43282 47608\n38739 42590\n11231 94078\n52254 65374\n47961 67892\n26618 31158\n6526 60720\n7796 85380\n66012 90590\n84247 97908\n12138 85003\n8371 21833\n68756 80230\n50240 76875\n44536 86610\n6636 99024\n34738 71947\n26432 85664\n34541 37848\n35479 85229\n10294 54230\n3650 49975\n2795 57149\n3129 45783\n78421 87763\n2241 2412\n56809 88635\n58736 85789\n19515 63856\n25602 43898\n19 85216\n59035 69961\n31888 99579\n2964 63315\n55168 93689\n15806 73375\n12071 27217\n25874 84074\n88352 96680\n42016 68270\n41633 97682\n32110 53707\n18257 38271\n62675 98577\n25560 85728\n13221 89744\n8237 81489\n21070 77784\n9579 44338\n39266 58657\n21436 33127\n34631 44953\n41246 69580\n15412 37343\n41648 91523\n18580 51087\n92560 96359\n20935 68486\n34014 69747\n80031 89205\n87394 93931\n7223 49322\n82269 87877\n11674 59066\n35600 93731\n41835 88366\n35584 57368\n23147 52862\n54098 95022\n3210 7373\n17424 37678\n27655 43717\n51513 72736\n16390 22176\n9636 68738\n69468 84868\n2508 96525\n6421 96115\n23977 93855\n65061 83046\n51706 74443\n27438 95537\n4073 9896\n43453 85339\n34369 35798\n5655 68862\n54501 80942\n21319 84568\n29276 33264\n25440 92742\n45862 67684\n96612 99083\n16491 19232\n3908 62799\n9323 32372\n26757 50434\n38345 92644\n74404 84036\n12573 85689\n41850 51761\n38160 58103\n37755 43996\n38911 49396\n451 54244\n45806 65911\n24175 69110\n22009 41918\n33868 93987\n4174 17490\n19573 41972\n53179 97062\n631 32706\n55681 56455\n33137 45077\n80871 93318\n48697 69849\n19147 45773\n26152 78881\n51622 87388\n16194 16409\n36609 75567\n4592 96470\n31459 80833\n39153 42412\n60725 69728\n2482 81079\n5545 18379\n13735 97329\n4726 34899\n3802 75072\n53695 57951\n60666 62211\n19337 38919\n40819 57107\n28647 65634\n82518 94668\n67639 83418\n78124 79849\n10690 12837\n50612 56696\n21735 39808\n91252 96128\n54787 85303\n5246 15637\n38556 47770\n4552 51594\n36995 89631\n75415 90588\n19925 77005\n60735 89132\n65837 84735\n16121 50695\n64827 75313\n15786 46014\n9121 88309\n41938 68872\n27933 35534\n25744 42586\n21782 62080\n37755 75681\n3101 65065\n1296 40050\n45148 67993\n19404 99350\n49360 98162\n25129 44529\n49756 74977\n6374 27175\n69221 87366\n3347 49410\n7328 25070\n27399 35391\n45873 99291\n54331 63655\n70994 82779\n23639 99297\n17033 21901\n2849 90648\n15660 55242\n34806 68379\n74341 98023\n32980 65741\n35724 90679\n497 1794\n28606 42867\n68569 96774\n53884 57109\n42483 82315\n16655 59962\n40609 47033\n2349 14715\n48317 82510\n36907 69727\n1749 58508\n9514 16601\n13724 48309\n36525 39614\n15438 87877\n850 4604\n61595 87510\n4235 69026\n38112 49835\n23791 72493\n876 96525\n37000 53821\n20898 40730\n9216 14974\n28702 56112\n73075 91776\n22620 30207\n51064 69790\n41585 98482\n32649 45029\n11798 43793\n10124 95039\n5387 24455\n51220 95814\n16031 42304\n19029 90798\n55525 74905\n58588 71696\n64324 66023\n32745 49649\n22117 77079\n13060 54480\n41559 78484\n68795 91995\n29276 44955\n27595 55487\n52947 73148\n26015 87672\n18838 99267\n22788 51482\n3843 42363\n5298 41371\n33543 54674\n33042 35943\n4520 16262\n24499 46312\n22732 93722\n5592 17888\n63060 78690\n52498 65390\n76214 96961\n9645 87047\n50575 84945\n13692 22231\n28706 63330\n10564 68603\n85826 95785\n34403 69932\n37253 94510\n20157 37001\n467 55625\n12728 78578\n20300 53922\n41172 42475\n50668 69416\n38191 44095\n6016 36657\n2984 96191\n27009 27832\n89195 94851\n15218 78725\n17791 36426\n63050 89767\n5694 87450\n19840 24976\n41181 87481\n8265 39897\n62851 86502\n31983 81586\n15890 46950\n5403 46091\n56272 66360\n61946 80271\n13304 26871\n15213 22175\n54752 84065\n18552 70725\n16398 56452\n610 87162\n27978 53849\n25323 86784\n44487 51068\n67825 83248\n89078 90637\n89923 97898\n26949 95681\n18973 41875\n42565 44859\n20982 63547\n31549 34407\n8610 73097\n17408 61920\n15043 31973\n63113 81383\n25516 92958\n71597 72402\n36540 72157\n24410 36056\n39335 41310\n64040 89364\n60419 82184\n30775 32038\n16851 59281\n24446 87022\n25864 51681\n53625 98695\n36833 53337\n46327 85248\n10716 31378\n12593 29647\n97256 98822\n66 43900\n869 32803\n8775 81040\n43852 63085\n32144 92039\n50596 81251\n38345 56326\n12915 85306\n23518 98598\n45067 80558\n73888 76747\n45803 82751\n25029 54115\n22098 77420\n2950 33014\n88854 97657\n36666 94095\n38261 95311\n22395 92962\n42178 71943\n108 36659\n29621 63527\n22401 33023\n47149 72172\n21230 81874\n27002 92952\n60984 64455\n10366 60052\n22995 60142\n11276 55438\n25086 85200\n13446 29270\n7062 15685\n2590 99684\n31255 81727\n696 36162\n25481 54792\n28303 54682\n31454 98625\n17923 58507\n8069 25190\n26305 50195\n4459 94580\n11508 22282\n14153 88754\n18548 56112\n12809 86887\n56928 71339\n22579 79559\n5627 65542\n10400 58033\n78418 95696\n35617 60681\n11477 71590\n25442 73388\n78793 98407\n41453 72681\n53619 93545\n40554 76158\n35524 71967\n23427 58759\n11413 83753\n25170 66205\n30480 80677\n6476 33823\n24892 93892\n1321 4464\n26293 79864\n1888 76206\n32063 50516\n10119 90033\n17195 46539\n59788 63547\n20219 34682\n24855 47225\n20399 98513\n31333 48209\n4295 59558\n71414 99892\n42778 79717\n24439 33262\n37535 44261\n30 99549\n81115 89657\n67897 80653\n12380 39462\n38453 42723\n26712 39376\n38056 93339\n16027 22708\n32130 47115\n14613 72365\n49646 69410\n11666 57110\n11949 28567\n21648 75248\n85337 94335\n58165 95255\n56606 94138\n394 36343\n38681 70436\n60343 71476\n35781 60010\n68388 76360\n39305 52769\n54120 93067\n47469 83076\n66869 67825\n23968 40602\n38997 49346\n39739 99767\n30504 52564\n41436 63458\n52367 64807\n45772 46650\n58198 99041\n23665 98008\n42534 86755\n25698 71866\n3818 32608\n15089 34183\n55763 69100\n27845 52557\n38843 53782\n27260 28050\n8864 11917\n74480 85599\n27113 77982\n93037 96464\n10437 76797\n29453 79412\n5197 86912\n10616 33930\n74102 79982\n67300 99861\n14756 32176\n27259 63688\n38868 94866\n3670 84088\n22116 35697\n38613 55881\n67202 81891\n2584 63730\n27814 77063\n9092 81804\n40367 54393\n58219 97729\n24537 62708\n42941 94605\n26725 77809\n28007 73625\n55754 99576\n15797 84283\n32082 74826\n1300 17971\n4556 4739\n42788 49554\n37379 98887\n92440 93597\n27578 40971\n84220 98203\n59711 76370\n50164 83495\n44409 51248\n47270 65059\n78905 89865\n37246 91693\n38910 68607\n26904 92768\n60674 81551\n14662 87494\n7206 33874\n62560 87764\n29056 94704\n30772 59256\n9381 91415\n25293 95173\n26675 72825\n6717 91701\n5837 27629\n63277 83295\n34917 65221\n71700 78408\n66200 99022\n820 89374\n42289 84062\n44325 78315\n26930 39833\n71964 92277\n6707 46152\n73662 91294\n8993 18348\n77559 87737\n48074 98911\n20769 69140\n38591 61386\n7427 72731\n46333 94940\n4332 72518\n5080 88765\n855 22525\n65649 98114\n5113 14576\n48837 69393\n3633 57498\n3334 90789\n4395 62365\n42147 68472\n31256 80797\n38890 90598\n17159 71961\n86626 92912\n50080 85247\n10029 57355\n10850 22563\n71250 87729\n73262 90840\n9139 25436\n2969 34954\n11385 16591\n20650 48651\n14619 45399\n73628 88939\n10373 46390\n44015 51123\n15346 54827\n16349 70701\n27481 78791\n9962 37680\n26513 52662\n23014 31329\n57722 58512\n26850 50494\n29229 67604\n58479 87155\n2570 79294\n84439 98212\n6939 74086\n43750 55324\n80476 83398\n30602 44381\n7311 42118\n1709 95123\n14231 91254\n16452 80383\n56500 82425\n60927 87472\n46819 86576\n76412 90499\n15811 79145\n967 18674\n25184 42213\n20849 59942\n52706 55144\n78878 81624\n33746 53977\n42179 69489\n8189 42068\n63363 67376\n23672 88534\n7635 84262\n30497 45848\n1946 66383\n80683 89944\n20384 78520\n5682 9611\n47998 89574\n67500 79966\n67549 72225\n42742 46362\n76763 82806\n30790 42273\n55180 74619\n306 99497\n3906 83075\n6293 99965\n29762 33846\n23227 42276\n16567 21463\n53937 64204\n19386 22069\n15298 43538\n41400 99288\n52864 54233\n50944 86592\n50942 81641\n9119 57391\n19626 50512\n24203 38111\n77836 93213\n39591 65363\n31548 47382\n9394 46319\n5476 30378\n60523 69969\n74406 90212\n44615 78359\n52503 62397\n75654 99338\n7633 39369\n42612 50045\n17872 35414\n50971 90390\n49793 84518\n56321 81492\n27851 68745\n14169 20435\n53224 99670\n38449 67224\n35560 80454\n14174 15662\n28570 39701\n31084 39001\n44525 80108\n72577 76168\n82903 91661\n30018 70082\n40023 84300\n9366 51230\n34886 82806\n21692 49961\n24617 85302\n30787 33436\n49304 73625\n3484 44854\n54580 91821\n70848 79245\n32644 58384\n31083 71342\n26112 82449\n36793 57844\n8643 98010\n726 19123\n23629 74774\n79319 89748\n60479 76902\n43677 83243\n3498 89488\n15573 35025\n74335 90728\n34864 36134\n14084 76999\n52023 81615\n53490 86167\n75832 80171\n3810 21287\n4036 84452\n21156 22701\n26106 38318\n2023 51415\n5882 94897\n43823 61157\n24806 96250\n19039 70667\n47196 76936\n12405 32604\n35822 43601\n59807 84829\n18384 18921\n63925 91500\n32390 73632\n69635 70642\n5287 16869\n32622 36105\n22376 45972\n5909 68757\n1199 79715\n21411 55383\n40964 80110\n41797 51986\n30475 98778\n3853 50449\n45588 86964\n1962 80954\n19446 82983\n81952 93120\n17911 47117\n32824 39561\n3205 95519\n22246 42657\n3203 39670\n5275 58428\n11698 47296\n22536 76320\n59182 83712\n42166 46263\n11957 27691\n18693 79372\n40198 85583\n65332 75808\n35707 43518\n80786 92957\n38661 76144\n1857 60619\n912 48239\n14324 84522\n37197 40370\n4393 69417\n12213 34481\n28506 71288\n31009 61543\n61573 97944\n6247 81096\n51119 59318\n68828 72115\n33754 50259\n58011 58603\n9350 16312\n17697 83751\n5437 50667\n19841 75552\n18167 42978\n56915 59683\n22215 44981\n85045 96981\n24012 41226\n15976 62307\n8042 62097\n17668 33016\n22163 63255\n18193 22973\n34891 67008\n54179 73988\n40753 75072\n44394 99269\n12792 93667\n60404 64583\n49963 80723\n57862 77946\n44016 74400\n3689 91514\n30322 59097\n15000 98580\n56060 77332\n96176 99568\n84284 86277\n68102 80387\n9570 28666\n68670 83693\n19203 56985\n78309 98015\n25706 97294\n67823 68304\n51198 74805\n50530 98231\n343 93895\n66836 85396\n30588 98686\n35069 43060\n18242 38791\n60178 90065\n23344 63839\n57508 60173\n37451 93242\n9722 76574\n1499 28186\n22584 32730\n53402 70526\n35816 79342\n56536 68585\n1625 38813\n37005 73605\n18303 83441\n1971 14013\n4935 80137\n23083 66359\n74361 98851\n29536 51277\n55978 80072\n14051 59190\n9982 31779\n60434 69010\n61766 66082\n56133 99588\n13522 91954\n16051 92908\n37351 54933\n18770 60387\n25508 64522\n7401 95617\n4821 24503\n7067 49619\n16887 60423\n72107 80931\n67228 77804\n4070 22715\n27544 94982\n55633 93486\n1302 46713\n24534 98631\n48858 65489\n6499 85862\n79004 79190\n52091 88093\n16624 82621\n71524 86784\n13035 60205\n44117 46846\n45757 53621\n42091 90460\n24481 97616\n33234 40272\n24345 54790\n29919 46093\n34274 51434\n57707 70337\n70117 78915\n2657 41193\n21378 71810\n20484 45268\n47967 70093\n15764 51340\n68738 92332\n474 60068\n43325 92422\n34842 40029\n49450 54897\n78406 92633\n34430 35299\n28073 47255\n27852 63962\n3916 90197\n92762 94700\n35428 67403\n9091 71375\n80528 87491\n23323 75922\n61892 64796\n44852 99894\n39109 66183\n41612 44984\n43298 66157\n49599 84882\n10386 69348\n25255 54807\n52213 70708\n56771 79978\n2692 74444\n27603 98047\n38511 73552\n12985 22307\n50909 58687\n9045 97700\n1730 98882\n22239 61291\n86841 89694\n2643 45458\n17099 60588\n86690 90061\n33163 42117\n5628 6134\n28275 50250\n50916 82964\n7437 50613\n35372 37454\n31018 89276\n30119 42312\n6412 20967\n74328 81550\n12512 71710\n41697 90913\n19084 76346\n4719 85960\n67863 91871\n64134 89237\n41243 54679\n488 53288\n30226 61173\n11761 56673\n13413 64234\n24456 84536\n22585 27632\n13471 74240\n26930 31907\n29474 83101\n21556 76600\n7843 39091\n72267 74815\n73599 86269\n73500 88567\n24199 89889\n85581 96836\n12250 49461\n56207 95570\n1303 45024\n12628 42792\n11742 31773\n18273 31799\n13581 23392\n78634 93194\n25870 95419\n14823 86704\n68062 73205\n21793 40534\n79185 91637\n574 8873\n86450 96440\n67792 85687\n13881 66629\n28438 57734\n6166 23661\n66602 90747\n33621 83026\n52298 67268\n9889 27651\n60188 86940\n21052 72443\n54465 69703\n74445 86752\n31360 34689\n26574 67155\n2095 51092\n4971 88931\n11850 95379\n45238 53288\n28049 97319\n63842 97824\n11525 62463\n62487 79205\n19158 35939\n21996 74215\n33090 64215\n23872 49688\n8219 48984\n8107 37704\n50952 56700\n31360 75004\n13019 36057\n46054 50882\n29370 49516\n34811 50387\n17489 96136\n47152 74934\n39918 63043\n91252 99913\n92657 96831\n37531 51453\n15598 96591\n13910 38938\n21265 69456\n89869 92147\n35491 64515\n61421 77432\n29351 43211\n84854 84889\n10974 70133\n13649 21997\n2316 50524\n59794 79623\n40709 73074\n7145 28283\n22303 94279\n29866 64209\n43161 76158\n21798 88836\n3054 44746\n10068 78610\n5703 19879\n86969 96690\n38172 83522\n17992 98119\n91547 95415\n4539 6100\n10606 22571\n4413 78430\n21818 56719\n56211 61039\n17961 26416\n38844 54083\n92022 96308\n5167 12411\n53875 69414\n63012 70453\n21562 76124\n38488 59857\n27545 68261\n15459 49798\n60551 91131\n24321 65555\n63834 84030\n40090 70418\n94208 97354\n34083 97198\n6183 69715\n67035 88034\n26086 86854\n92002 92469\n15722 58842\n62673 64729\n58651 69557\n30505 87327\n3277 33364\n39596 92989\n90074 90446\n6860 68206\n4050 17373\n11170 11972\n2880 24216\n32379 78709\n10470 36403\n80775 86146\n35798 98823\n38320 51323\n36755 37117\n53281 75053\n19674 34827\n30974 35868\n24494 43031\n4102 83008\n39651 45226\n2994 15439\n47041 62365\n88103 90046\n3820 70022\n73721 89532\n11689 48231\n1622 93461\n6112 32670\n97641 98157\n22943 36319\n97114 98620\n43832 99245\n7969 73894\n35299 95737\n70761 78908\n50804 80544\n15860 96686\n5037 34238\n5524 78583\n33862 77955\n366 40374\n33550 72984\n1617 2124\n8424 41560\n6472 36831\n5345 60558\n6704 32903\n15288 36575\n7143 63209\n24982 26687\n22327 49029\n26279 55406\n24663 41960\n18658 42105\n16642 45116\n9442 13034\n69704 86591\n22022 41108\n4197 51276\n67481 80517\n24167 60817\n16020 25300\n41741 94888\n43775 48004\n74887 77967\n58410 67094\n2712 66471\n9711 90681\n20730 73341\n29616 30045\n14976 51188\n37607 73445\n44154 82492\n29739 35940\n49931 63731\n59677 70420\n27502 64332\n58782 72358\n33211 74251\n84214 94333\n8631 60613\n70685 97826\n66766 67505\n57270 60343\n54110 93290\n15162 40915\n15308 93733\n91222 93309\n42372 70691\n2868 41226\n12332 31591\n9333 93517\n43834 99773\n30641 66404\n21632 38295\n3108 84739\n2069 71863\n2336 36642\n77762 80791\n39305 65137\n15603 49957\n16507 33308\n26452 94451\n42507 68753\n788 41358\n22711 99573\n32188 68594\n18029 88778\n9199 81595\n26461 86279\n34435 46647\n38486 98903\n30649 88106\n14744 27586\n62681 65594\n69860 88481\n21783 56444\n24481 54732\n54348 79148\n17503 85759\n81320 82760\n40062 69252\n26167 81481\n86566 93607\n57127 94868\n42161 91635\n49386 81187\n68582 92394\n17963 76671\n29043 95107\n28651 88565\n52795 87279\n7431 44086\n40614 55645\n44163 83346\n56870 58144\n58621 59163\n27534 81006\n7889 73010\n61916 77384\n25590 31875\n61218 92693\n789 48806\n14791 91658\n76976 86527\n22206 80583\n10030 71257\n92578 93075\n14493 93641\n31674 61770\n80183 93406\n20353 88894\n40986 96655\n34739 48169\n18898 90356\n11030 68414\n51530 69122\n24683 96085\n32503 87233\n6239 20216\n43231 85919\n1381 73287\n31122 72125\n48851 78552\n91151 98967\n37227 41788\n37350 51640\n57000 83882\n20530 92807\n31453 58655\n2081 14204\n6308 48921\n1375 58174\n65203 95914\n2011 70608\n9069 80297\n29040 44194\n3350 40636\n681 85174\n59480 69205\n55932 78895\n22879 88340\n30636 69411\n6572 22576\n2923 98548\n12728 53702\n41604 96173\n23724 33872\n62938 88293\n78775 93479\n1602 76992\n25309 65770\n37088 41136\n21135 28830\n20934 39318\n33096 60198\n71759 77541\n64018 82619\n442 26519\n24659 63889\n37245 94155\n34987 61857\n36669 50785\n817 93186\n56795 82642\n3186 83080\n39350 90431\n52884 85200\n43597 88701\n40554 86929\n81338 83524\n76213 98709\n29994 53250\n10863 14125\n73153 94776\n66470 67058\n55922 94730\n23757 97357\n9389 43553\n38876 81898\n21663 53076\n32528 34875\n27804 31062\n43478 95834\n64796 73596\n78733 87488\n49196 78796\n11670 55264\n56220 63379\n71378 98931\n31326 42393\n22260 33411\n30542 32949\n29492 97740\n67675 97130\n58857 94277\n2898 30512\n14643 15923\n23314 87488\n4194 7847\n59711 98334\n20465 50862\n55750 65264\n62042 95719\n24167 36852\n12173 97657\n1819 25223\n21723 48827\n32695 36877\n72070 94250\n15140 68744\n85404 90502\n29265 96211\n87482 93347\n22280 76059\n46883 93906\n20345 56726\n19025 92542\n42008 43630\n23108 61567\n3992 97390\n6864 97036\n22181 59328\n4551 59617\n59544 92416\n20526 85504\n4533 77693\n27626 71975\n38487 73233\n76158 83265\n50775 97583\n1303 66333\n14042 38474\n18606 35528\n36070 73664\n22956 27654\n70198 85465\n26483 96590\n45903 68022\n4946 18781\n31068 59080\n17880 34688\n54123 67940\n11860 76093\n18917 70952\n58138 73283\n63011 95496\n9999 59759\n45422 61446\n41289 67897\n65488 76973\n56121 79207\n15358 34804\n34761 79553\n2674 83301\n1767 68348\n25575 28406\n15753 74977\n35054 49497\n10898 88046\n51655 88118\n59273 79638\n10488 52625\n44788 89117\n45229 72714\n14798 31908\n4078 75377\n17062 83916\n18928 51932\n5651 88887\n47792 74504\n34281 66778\n53867 94356\n43521 94977\n42788 61672\n12549 63199\n13340 59772\n11949 28035\n19239 91566\n24791 90078\n63011 85968\n10225 20022\n44282 55640\n55400 91225\n23926 64797\n39291 67078\n37944 67750\n53336 71649\n37417 90383\n8830 83081\n12129 81326\n32419 74126\n8491 15110\n56534 79599\n27144 30524\n50578 60424\n8041 87210\n141 52729\n37328 67836\n1735 31970\n18132 48744\n9089 59023\n37029 62350\n35031 95563\n46126 89993\n60407 94490\n85434 90932\n31762 89201\n3333 8984\n2745 44420\n61440 65499\n70710 83032\n15174 37673\n81189 87856\n48475 94964\n78067 89226\n4260 72292\n6081 44818\n81609 83501\n35640 65460\n13623 92030\n79210 80083\n17327 21141\n59772 94158\n16140 64215\n67208 75610\n19176 57220\n26687 82262\n44434 94809\n1178 38356\n32830 69981\n5889 66752\n30660 58595\n11051 98255\n59935 87651\n32329 55198\n76160 99929\n9367 20209\n5531 43352\n31615 88341\n7377 16484\n38981 56670\n10884 99914\n7508 39023\n33957 92919\n59674 88762\n22907 70614\n31546 73628\n81947 85470\n66588 76452\n49297 52363\n41607 98002\n59146 71477\n9521 52708\n908 1644\n46487 82873\n44009 83035\n25837 72110\n25784 81468\n1372 48066\n69795 78893\n38256 86881\n2076 84059\n16051 32549\n23435 96542\n19993 76049\n59345 71139\n13730 70144\n3432 21178\n40449 82974\n665 24119\n9956 39714\n70537 97251\n25168 88048\n3387 15506\n7152 63475\n293 13579\n42520 60530\n49641 76233\n5295 43568\n31753 33785\n10218 98616\n11802 92831\n34567 84062\n13334 48662\n4260 86101\n16087 55719\n87804 98654\n8512 24863\n17951 52555\n1415 85752\n59876 92114\n5127 77908\n81758 91878\n21296 86192\n64355 86596\n61087 70469\n43280 92868\n10427 96576\n27731 86455\n45287 78477\n13031 40536\n30977 67966\n32390 77017\n25176 84672\n27217 72992\n66366 84565\n54730 97824\n8047 53253\n70954 99828\n18511 97860\n17781 57170\n57290 75980\n43034 77356\n81695 83738\n67265 78725\n50475 63634\n32607 75300\n14027 77046\n12453 44687\n34671 89060\n39864 69524\n18232 58634\n46990 64191\n35152 80295\n23892 73713\n71376 95611\n18105 41799\n3309 69502\n34424 83449\n45477 49373\n896 41351\n64490 88178\n42271 51369\n50551 65334\n33767 79169\n8921 93676\n943 14664\n4702 96624\n34865 79666\n40045 45989\n25380 54869\n28931 34209\n61651 99953\n26746 36699\n74581 77400\n12053 72314\n33766 47355\n4055 69808\n11038 20603\n18799 85834\n7188 91786\n59354 90950\n65466 80051\n13747 96873\n22687 88612\n14960 61460\n1197 33219\n33470 81548\n504 90352\n48647 72701\n91406 95264\n56570 91187\n14480 94076\n41890 45634\n1520 94660\n4610 30837\n25183 99682\n30758 59493\n48334 72309\n44808 55770\n36628 41860\n8278 74179\n5271 31686\n20216 80662\n7986 32000\n24342 55013\n39860 82774\n43673 56599\n24084 91318\n8372 95471\n51945 99759\n38288 77095\n33818 98409\n11414 60358\n63923 78113\n76484 96132\n64183 70449\n21705 37838\n20184 74778\n8286 37514\n19490 30324\n13627 26116\n39841 55703\n3315 51566\n13018 62638\n50497 76270\n7859 87925\n13257 65068\n67510 76579\n58760 82191\n56493 93500\n41935 97566\n60027 83188\n53131 88998\n61565 83474\n64305 99473\n74625 96784\n2900 57689\n1635 71450\n12221 56581\n50030 56099\n5163 47787\n45930 49125\n1512 35910\n51729 61916\n27697 68793\n38273 60034\n27890 34195\n59218 94878\n13299 21177\n25789 72769\n43181 60497\n54050 94603\n49759 62418\n28590 99552\n28073 55678\n7980 51695\n50140 93107\n68943 77830\n1888 90111\n47137 61439\n14009 66281\n12444 56978\n34430 79453\n72144 82343\n59619 61626\n37392 97243\n198 70353\n20847 44055\n78519 89276\n32985 47554\n41500 88813\n77346 78289\n60295 86767\n40440 74287\n34841 45491\n21313 24641\n50948 95081\n29229 79125\n17178 22907\n32951 85251\n75027 78051\n19648 83734\n50633 93612\n17799 69541\n46593 83947\n66945 99440\n22357 65040\n11726 51748\n3231 85582\n59971 83284\n36748 38914\n14983 50897\n16635 86886\n13455 63196\n86839 98221\n31146 99315\n31630 33396\n23788 71591\n22799 94578\n18034 76586\n40282 80498\n55632 94942\n16018 95698\n60975 92913\n17903 98234\n7739 10331\n93800 96814\n28305 67385\n78624 97283\n12362 86013\n30808 97323\n65111 82690\n20597 22452\n13814 75282\n1169 52216\n80480 94535\n21976 29512\n12070 22922\n21900 66087\n54111 86171\n25190 59486\n5255 36989\n7111 60953\n75157 87356\n59874 93341\n2112 83100\n82641 95173\n57340 86530\n10548 19965\n60304 76494\n75804 95049\n31790 41700\n45090 82969\n50538 50634\n50056 56510\n6077 41253\n78042 95943\n38619 46622\n14851 18337\n25732 26245\n46056 78082\n40823 45720\n32642 99658\n44795 73387\n20717 89583\n48417 97172\n11307 25908\n49950 92697\n16457 78587\n34047 35905\n66865 76353\n23698 73995\n87219 91627\n39078 56074\n56331 84119\n35644 65101\n35562 74834\n6664 65186\n7360 72671\n64159 97921\n42460 78108\n13016 90056\n4693 99193\n31616 87964\n21114 55719\n64161 82436\n78005 79206\n1831 59950\n13158 95347\n32080 52635\n13038 83375\n3776 73001\n71039 96055\n2391 92204\n33637 71471\n52245 57706\n3108 42723\n12902 60497\n64356 75589\n63799 87772\n10453 12131\n49998 61786\n46684 70696\n5981 11742\n7874 88019\n36483 53519\n54244 61974\n15943 41585\n21578 60989\n17414 41806\n50946 55164\n62203 71473\n27846 57334\n49604 94775\n25606 50017\n33441 35526\n64279 95549\n40757 90913\n17188 49403\n11199 33301\n38974 49092\n55575 64318\n16308 32394\n33729 54628\n30887 96151\n39403 50648\n18932 64839\n20744 73434\n11854 59108\n68758 89100\n1513 20067\n34321 54551\n18109 24179\n40767 57324\n24746 79073\n51451 61886\n5990 26955\n4328 50134\n15220 74590\n56191 75449\n9691 68209\n6746 67365\n40953 67394\n49457 80028\n28494 91572\n16132 67020\n28290 70757\n11150 32952\n23050 60112\n29228 85147\n51338 80438\n50493 98569\n18945 58469\n7697 88824\n45532 74871\n82342 92754\n32727 73957\n16898 82114\n24973 64842\n12469 87761\n10478 20462\n22295 44257\n63634 92710\n39115 39749\n39288 60445\n32657 66003\n31687 62364\n36254 86222\n40293 40435\n80793 85221\n9496 72463\n61444 88221\n18872 64037\n40994 56428\n3404 47502\n1835 78602\n9084 33530\n49300 78300\n72248 83283\n57898 88689\n49730 54210\n39038 40414\n81038 91228\n12690 92175\n40791 53285\n53911 61171\n17014 94723\n62581 91319\n677 92688\n2950 98712\n22106 49183\n37964 72750\n1145 30046\n26612 36307\n24445 28084\n11333 13886\n63828 82419\n5086 45755\n10868 26487\n75563 85652\n81814 88779\n66058 92981\n86836 97848\n586 80832\n32720 84373\n45012 69688\n18075 37715\n40994 54977\n2702 97132\n8352 49695\n6138 13762\n20609 81202\n5289 84929\n28083 47225\n61437 65851\n628 25964\n53851 63166\n85084 90042\n37725 62531\n35197 95004\n7085 66082\n29108 49495\n8542 58455\n56634 70684\n36135 70429\n42443 59957\n1168 85508\n23062 62468\n28044 38160\n14628 68038\n24546 99848\n48729 52232\n10742 50990\n59502 66407\n59228 87521\n27303 46305\n40851 43903\n90049 92870\n58267 88381\n6865 46506\n24802 44709\n61808 72749\n59236 94083\n21450 50897\n3021 30340\n38305 88779\n33710 40094\n12915 78176\n57204 77731\n17974 96449\n49789 53110\n33804 89755\n44285 72375\n37748 47877\n47062 74487\n53405 91730\n2156 4560\n24280 96619\n78970 89903\n22723 96925\n85124 86552\n21492 90605\n16226 38068\n52068 69417\n45862 95683\n16258 37441\n1552 7648\n59905 83927\n53336 98571\n52276 84167\n51187 97609\n8976 60845\n26816 58856\n24783 41274\n28250 58193\n11487 26888\n66057 93497\n29778 43494\n7999 81921\n8230 28616\n24727 33199\n16424 23137\n35539 73971\n24134 25518\n16511 86152\n44609 88446\n64812 93297\n40165 77975\n23683 81679\n32987 94819\n81319 99387\n260 13958\n24592 53537\n55822 83857\n18951 25984\n64905 93501\n60154 70324\n67405 92422\n6757 26045\n61406 86886\n63682 73296\n56999 86850\n39958 72213\n55917 76815\n68767 99454\n10377 22951\n33210 33995\n1519 73408\n40567 74250\n15449 88458\n49025 98209\n1337 5435\n56638 85021\n26400 56800\n49904 93455\n60227 60372\n9701 32508\n71636 85291\n35827 78966\n21616 33044\n29947 45521\n21335 74369\n8016 89892\n7829 17609\n51212 58350\n32911 56855\n6053 62457\n15113 86342\n20943 24795\n5155 82372\n4576 21281\n80234 87621\n3509 36752\n29129 78173\n26719 71828\n56812 81939\n68578 72334\n76192 87507\n48295 88065\n12797 93696\n47277 90484\n32353 48981\n42724 72281\n45134 53092\n11076 69700\n19331 89946\n67478 84617\n26987 88348\n9586 45663\n63869 95039\n17850 60847\n14103 86715\n37935 60377\n83356 93480\n16692 55257\n15878 46871\n41969 73855\n15182 32406\n52481 62429\n22575 36933\n687 90630\n39107 85092\n47160 63160\n35138 52691\n8799 53771\n70963 73593\n27880 33744\n11312 96402\n48058 87981\n19304 76393\n87379 96773\n18680 92512\n38118 82769\n3936 6200\n8621 15894\n74363 79454\n43455 61041\n17233 93069\n93358 98256\n20164 55676\n10882 11645\n27994 45609\n25465 47472\n60209 98832\n32370 43595\n17487 31335\n62410 90846\n5549 71494\n10373 96834\n17315 71607\n21788 22387\n32546 91310\n57539 85883\n15466 16026\n45661 80485\n19227 92652\n8248 25759\n1930 41917\n20390 58136\n452 87248\n55382 85183\n58003 69143\n7030 83256\n21196 35940\n2057 21436\n27186 59004\n46952 59074\n3795 15792\n38323 64611\n18362 45388\n66905 86030\n19334 24573\n35350 56727\n10019 91503\n51386 99399\n48547 81300\n1389 45440\n432 1367\n7175 50269\n32764 44307\n29078 33727\n49644 94454\n10985 14207\n30188 36858\n53812 61305\n19420 56533\n16736 44175\n15115 23215\n6548 21150\n54164 76283\n12091 94158\n58398 91807\n18857 77404\n39264 46208\n12290 33208\n12723 13509\n74224 74398\n67550 84133\n4174 46278\n48980 92126\n16719 44917\n83494 99970\n9186 13759\n32120 86427\n8461 54546\n19008 71731\n35668 63383\n39137 57053\n18075 50722\n64028 81488\n2355 97306\n31783 88178\n2765 5809\n10125 29169\n6887 67483\n8284 14153\n135 4392\n6555 99044\n33739 81248\n81197 83341\n10143 94531\n12215 30886\n6797 94886\n32433 39786\n19605 39261\n50984 70101\n39990 60388\n8436 33857\n57180 89016\n16500 36629\n54690 91857\n21012 39136\n4815 23183\n6240 46265\n4760 7751\n61470 97236\n29713 84073\n12493 22048\n43761 99023\n26638 52425\n18561 78282\n47473 58553\n64165 71898\n22278 91799\n36809 85498\n7976 76235\n7009 9732\n13049 31897\n35897 83897\n89038 93746\n2124 68940\n7010 68687\n11547 89036\n35475 70771\n53460 92753\n62594 75875\n15808 42282\n26464 77044\n18340 63194\n7204 22865\n56532 91498\n53803 75441\n5385 60818\n23374 87287\n19481 99890\n67181 73750\n27011 95701\n37429 76399\n28287 64893\n65019 92723\n3059 23808\n17939 26369\n32277 77551\n16532 23462\n23679 56450\n10853 16260\n741 39337\n29638 69511\n42886 95468\n4022 70196\n9558 62367\n10782 37874\n53562 88771\n5015 70790\n67397 78684\n26992 40795\n12490 26716\n37988 56205\n42492 72769\n30975 63171\n1267 18777\n74414 97649\n983 12431\n64487 87066\n5099 78043\n61985 64799\n48637 91483\n58057 99631\n68558 72972\n75871 83265\n69924 80988\n68750 94043\n5298 14060\n35946 58786\n63386 71206\n18147 19182\n85124 99111\n13966 65263\n26181 78514\n39031 51687\n12364 31401\n44565 50452\n36791 91024\n72540 81371\n81157 96995\n6744 51334\n27693 79864\n54610 88647\n5248 12674\n10370 71907\n8609 77591\n39030 63177\n2995 92079\n41696 58979\n66075 85553\n24073 95466\n27522 52804\n16835 80714\n17062 95965\n19712 98648\n67199 99504\n29736 73062\n18104 86793\n10200 26954\n19573 53050\n21640 80791\n11854 16096\n58202 96558\n85121 99286\n80725 99169\n4638 40544\n9377 26901\n50278 95362\n26204 37271\n4038 64742\n36209 65979\n81784 83973\n18633 76763\n65759 85364\n92980 99026\n25894 66192\n49818 75521\n49811 84797\n14890 71222\n42832 61335\n55594 76250\n47457 75162\n32115 95974\n21247 58205\n23266 28125\n31963 76456\n5721 66878\n18446 26291\n31241 42947\n39103 53230\n92166 97176\n19616 29472\n28428 77953\n34440 55895\n34348 48781\n90935 91019\n4480 72054\n51650 74489\n13411 63676\n16719 83323\n756 31578\n30604 96637\n68160 90126\n13020 18821\n50039 80049\n24977 37092\n22796 34975\n71873 92928\n28187 59959\n66811 90389\n9877 82057\n24538 55463\n32945 70919\n33626 91874\n41516 93413\n38000 47710\n22155 38467\n69090 83541\n13906 17923\n5478 42056\n15372 81939\n8545 94862\n31603 68120\n68615 83135\n16338 23138\n77595 98326\n14633 19583\n11414 34020\n62050 69044\n70916 71683\n3735 9398\n38323 97549\n56755 87393\n11456 19475\n3956 21444\n30420 44122\n52007 65181\n6033 96567\n149 74282\n28825 67229\n45235 93069\n6752 49678\n44113 96749\n976 28727\n8228 80528\n26607 26978\n54958 92627\n91 94188\n67338 88557\n11252 80390\n48090 75493\n11661 81207\n25242 53394\n43453 43967\n31144 59813\n817 58493\n21802 66831\n49456 67328\n70390 91170\n18326 61949\n17000 81049\n6562 75132\n8990 39800\n14487 53494\n263 40556\n5418 44276\n46689 68525\n10190 61228\n39430 49982\n17403 36493\n26634 29107\n30271 48727\n30470 56472\n18324 72713\n14767 47646\n13324 45053\n6191 83823\n14942 71019\n8086 64145\n29923 52926\n185 30088\n33023 64017\n19695 41226\n20024 31194\n1879 36282\n32462 43483\n9608 29826\n71749 96892\n75239 89902\n82145 90198\n43029 52050\n59620 89473\n58472 72288\n50691 68763\n66430 94573\n28582 75509\n24604 75326\n25921 88150\n2127 74999\n9349 85899\n10810 32567\n75202 76983\n21775 65341\n22779 84836\n3897 25789\n16705 93613\n9718 18795\n1025 19213\n1596 13798\n40960 64720\n2961 56056\n18598 62066\n11074 50401\n13756 50170\n4965 26798\n18101 34471\n759 59581\n4415 66925\n60253 96426\n32820 73391\n31859 40531\n993 42882\n28817 97654\n5408 45452\n60965 84053\n11070 88244\n18287 28466\n52730 97154\n407 79521\n59455 93622\n22438 66832\n78490 98043\n60311 73452\n4114 58162\n28424 34399\n22742 34767\n67756 91737\n13884 68378\n48789 61160\n5444 16519\n38057 58087\n72632 94506\n20512 48591\n32601 89805\n83680 96082\n39850 55615\n54670 85149\n3019 88342\n52156 91812\n77447 98189\n6017 40813\n70383 96087\n31010 46176\n1436 92756\n93654 95052\n32058 32275\n65467 73634\n26520 66213\n77950 90842\n64322 65889\n86534 98724\n79839 91317\n58130 68199\n50460 53229\n30671 69103\n10215 90128\n31431 65136\n5190 86430\n29344 82223\n31408 37890\n10008 84534\n17253 99751\n12807 73646\n1839 38336\n19790 38774\n7330 38929\n70788 73588\n68286 78074\n2226 94948\n44711 69890\n22806 73022\n31820 32058\n15507 63884\n20294 38837\n60130 78091\n62394 86321\n12301 81780\n12510 15613\n23787 41443\n53204 97926\n80018 85537\n25195 31909\n1727 53719\n3798 12429\n7576 86371\n55736 59133\n33062 96009\n18256 31962\n10158 42410\n68086 90025\n64474 75023\n25636 86859\n7430 94682\n24409 74786\n35306 64616\n26805 36687\n10119 38085\n75773 86517\n8429 63979\n5038 47581\n815 18452\n1447 5669\n21248 27088\n28309 52937\n65581 70581\n25305 83655\n8265 81684\n27861 72774\n18100 36603\n62341 96843\n5278 38233\n24634 29458\n48319 58908\n20538 78372\n60973 97142\n60042 79791\n40443 92568\n7645 76473\n31271 60049\n60256 84744\n3650 64179\n50233 83661\n84586 90246\n7172 82548\n60254 68360\n55101 72854\n11361 36807\n1758 57440\n54624 87001\n42128 58137\n14688 71930\n34251 89243\n65789 83769\n93523 98231\n30377 79193\n29022 67803\n38651 54020\n3744 63272\n9400 53373\n21342 84954\n70901 77456\n39182 67042\n45263 82167\n1392 73931\n13167 38792\n15106 65407\n64589 84568\n2763 90737\n38208 70867\n65570 94943\n6718 71748\n10855 70917\n15585 29787\n2009 57055\n72437 95409\n49987 90567\n47335 92566\n50169 90245\n57387 62384\n32350 41302\n13362 24923\n17935 26743\n48909 86655\n61919 80119\n65235 99435\n3922 55959\n65233 82839\n18959 46122\n76307 92164\n95396 95946\n9138 65935\n41182 48522\n45682 55069\n18199 51005\n61355 63223\n10049 87000\n22034 77072\n40762 46794\n51911 67766\n41372 71000\n31678 81904\n54388 59645\n8382 19458\n54009 59433\n6876 19728\n28311 55786\n77277 94138\n42918 70822\n3691 85470\n18435 39427\n29324 29941\n78824 80234\n35745 89190\n26191 68505\n23334 58862\n53894 65824\n14031 47870\n14243 69587\n52022 56518\n18707 99854\n11551 66647\n60531 86760\n5553 72913\n58269 74761\n11805 29856\n40928 43536\n25564 66277\n53271 89622\n8166 42887\n12611 87172\n54309 73455\n27027 84613\n29633 65822\n22401 62448\n18012 42504\n60894 75235\n16576 44754\n30194 58600\n23374 58931\n54310 98862\n59581 59586\n87062 95602\n46502 76135\n11384 46185\n12675 92800\n4695 78920\n25358 51035\n32749 80680\n4264 85597\n3369 51140\n3298 6691\n55807 56941\n38641 47090\n30520 85758\n13924 87005\n56756 82971\n8798 96238\n42168 89065\n58747 64465\n72355 97438\n64064 66370\n61096 88982\n36400 88099\n48856 78244\n42385 98078\n76343 90581\n74570 86796\n26625 43802\n20747 49853\n63668 85885\n15807 55947\n28993 93411\n61345 94837\n19581 66882\n12380 65529\n78332 91009\n32309 58203\n14806 26853\n15328 84733\n58323 84276\n35235 64789\n1538 88030\n50761 98550\n15038 68108\n24323 26553\n44844 76902\n12119 37293\n85648 90190\n19324 49526\n28574 72746\n92116 96547\n859 39138\n41731 96316\n26730 53902\n62356 88176\n31260 98046\n20828 59003\n61824 80602\n19179 38172\n70715 88600\n50854 96326\n73189 89808\n10134 90563\n1143 99136\n58571 69432\n69616 74224\n63192 81242\n41763 47486\n20743 45363\n29705 72836\n30016 38162\n24099 63135\n44138 65282\n48343 72417\n13203 99609\n10237 65158\n42978 84329\n48170 79668\n72886 74492\n31306 67145\n17206 47665\n27414 62674\n47786 92921\n58285 76245\n5161 85960\n37413 64881\n1437 27718\n16564 87446\n66576 80971\n32803 61175\n22125 75666\n77684 83147\n29297 75967\n3943 60084\n23457 71508\n21036 92492\n92176 95590\n52264 60268\n16028 36725\n46562 64753\n68056 74472\n20489 89873\n56808 69765\n12723 75626\n35598 97514\n38672 92638\n49183 64341\n30417 88454\n82829 86631\n15253 97198\n28171 60841\n7933 85563\n27733 50443\n34351 48469\n54081 74811\n7651 77874\n9208 41412\n7069 80751\n67761 68512\n36797 40865\n2848 17036\n20627 35500\n13207 99241\n3563 9091\n11234 15016\n15645 22470\n48644 97190\n15126 22229\n15982 28334\n59441 68813\n24697 94741\n54497 74913\n15968 92817\n56114 56999\n24212 33796\n38640 79764\n48123 75312\n51051 76553\n60837 61487\n1532 82182\n82318 93450\n71582 88611\n26702 83079\n71179 72560\n31610 97361\n79309 79365\n44873 56157\n5013 41064\n6907 58764\n51517 95069\n53566 87365\n20552 69765\n26747 88814\n49265 64058\n10301 38930\n3048 38968\n10851 95583\n12830 52142\n5833 82170\n47329 68641\n12546 42078\n41509 57394\n5716 97780\n48435 61920\n3963 81762\n13315 73512\n24234 31798\n22832 37570\n55308 87991\n86611 94390\n58109 66213\n23200 43538\n21153 50632\n42541 70825\n59423 71808\n39320 80126\n27282 88639\n13233 61400\n5971 84725\n23926 45893\n7479 39414\n1506 92062\n1640 88745\n39043 46896\n83493 96167\n18369 53405\n30227 75701\n38548 57650\n21105 70404\n80266 97542\n36222 95743\n57308 92846\n7295 28386\n43991 48692\n14205 28759\n15820 50688\n53414 93221\n24821 42503\n16710 99183\n46754 84267\n13077 44705\n46394 46508\n8334 13579\n5871 30724\n4682 39368\n16085 72593\n62802 78959\n23654 73576\n33526 48447\n32725 61102\n7446 8636\n14331 38416\n52605 69854\n87452 88584\n63174 63414\n31697 60089\n13014 14896\n71477 98728\n45832 81399\n2307 24312\n35417 62052\n29688 85031\n35358 90703\n6985 93544\n13516 82401\n54731 91167\n22733 39567\n30388 42333\n38981 50905\n4501 58186\n67848 76487\n61742 72726\n29846 34685\n3594 34341\n16921 87601\n76402 83896\n14591 37057\n88291 92605\n6579 53974\n12839 97049\n72610 89883\n67912 99378\n24465 89271\n47983 60188\n19813 27985\n21797 44875\n41559 73186\n71412 93932\n16907 21683\n9997 89309\n77350 80592\n67649 73277\n94740 97700\n64606 98151\n61944 90195\n11068 53718\n17978 73154\n57365 84762\n50836 52831\n10139 85159\n24230 57154\n28018 64593\n42970 85658\n38266 84938\n10433 88691\n30114 69389\n43710 82815\n44728 62286\n32593 67278\n17659 39629\n9192 34527\n18894 75455\n76423 87609\n3000 10713\n75515 79362\n25408 57284\n10811 84622\n22373 79833\n2767 7057\n48583 63192\n37907 75585\n11710 36487\n11732 66942\n17398 55572\n19551 73629\n69301 74519\n29279 84038\n4740 21437\n18018 75342\n65167 76630\n26802 99693\n7588 51330\n1382 59539\n20375 59670\n17976 20370\n23220 52914\n66228 82720\n17872 62671\n70598 84865\n47218 69869\n33268 84731\n11203 42097\n12221 47515\n13491 90560\n5063 20788\n3006 40859\n30134 68403\n39818 85946\n5782 18221\n15326 67414\n4186 46758\n51375 63398\n31723 88986\n4181 53220\n44623 73877\n50973 55462\n18396 67735\n15844 27721\n111 7521\n3025 91855\n21151 49792\n46427 73830\n6622 44392\n1490 50803\n72365 79687\n4299 65789\n70188 77348\n87872 99569\n47873 52469\n66556 83499\n60089 88353\n24854 54931\n45728 92159\n24559 25472\n6855 33263\n16814 32387\n46641 75290\n81164 88803\n72493 81131\n39165 91488\n12352 47981\n3969 66650\n39688 53824\n30476 48448\n15998 73520\n73988 98402\n3419 38925\n12077 86047\n29671 39800\n86769 99021\n21700 96438\n47649 96328\n63994 90845\n1512 99374\n20808 60320\n44263 57618\n14172 15348\n56595 71245\n7978 82444\n55727 76360\n80584 95456\n36098 39534\n50365 95360\n15467 64794\n38373 88204\n10406 78159\n19198 96747\n76753 84725\n805 81990\n21140 55370\n10119 32641\n51621 93049\n78907 90343\n3280 10527\n41225 53557\n26081 49482\n263 97591\n22262 43298\n17204 96752\n52683 68576\n21101 78647\n14828 36466\n28049 95314\n4342 45392\n37634 40940\n24510 96101\n84562 95415\n19041 41215\n8807 96301\n11082 93035\n4675 69618\n18138 30705\n11552 82697\n40531 94353\n22977 58269\n17181 96417\n10281 57874\n31336 39465\n66982 72931\n10185 95575\n44318 88150\n3987 32288\n32306 33083\n97812 99443\n7691 82963\n57516 81793\n40795 48382\n52764 91691\n33022 61912\n7471 98269\n40929 98109\n24508 82792\n62580 83924\n13021 41362\n20562 94723\n2739 85583\n14343 56280\n20576 61714\n55763 55919\n65507 90769\n28647 40713\n16411 95012\n612 84267\n71308 94870\n11045 83024\n17988 22134\n61403 70617\n20754 58465\n4905 11730\n47783 99679\n30002 34369\n28832 39606\n2101 42930\n10652 32174\n559 25919\n3822 88114\n24001 37943\n71494 82006\n70135 99675\n34910 88658\n10077 88253\n33916 95839\n56868 74156\n87334 98949\n33618 84934\n47389 76411\n37440 81173\n8905 32948\n19562 31308\n9518 60541\n8640 56741\n39317 69811\n3019 64604\n46198 78796\n24129 30100\n34172 36927\n42463 53086\n61433 99748\n19051 31224\n15623 49877\n85825 95321\n20265 89733\n19597 95124\n33252 60729\n56521 77076\n9810 30117\n589 20681\n4349 44628\n66231 91390\n17918 31628\n59203 80174\n56921 81311\n2264 97557\n34637 49036\n25514 46043\n25723 28617\n20773 27426\n19598 45534\n4087 55573\n11947 71127\n49876 59286\n23815 51347\n36776 70553\n33723 85456\n2163 84620\n196 8540\n2586 81835\n38602 92110\n236 56417\n48721 91149\n7805 42531\n37253 48178\n30300 86961\n45164 64352\n24620 87683\n51936 70823\n21628 76175\n26755 41681\n30042 50716\n10324 75309\n41614 60526\n38615 44050\n4104 61728\n5026 85187\n13418 57353\n49841 70377\n63654 95059\n3417 22511\n32666 75190\n1745 61849\n79334 80537\n37032 39269\n20402 70872\n40560 79756\n59511 76958\n12655 24526\n11531 66423\n19800 41452\n68696 94711\n896 64953\n2108 63159\n15475 85309\n79029 87688\n45551 99947\n15500 56726\n24419 56942\n511 7558\n49182 75925\n48464 68186\n30076 37640\n12334 91653\n4997 68238\n10880 92114\n38455 90978\n31063 41801\n40106 66598\n9295 94591\n35816 86163\n20903 72883\n36474 95674\n75019 78470\n91981 98273\n2204 49740\n32890 52028\n55930 65627\n52722 99630\n6860 29295\n39090 90725\n40275 71950\n47536 86266\n61439 82650\n8792 11619\n58224 77176\n75840 87081\n50123 70587\n33201 91364\n26231 31399\n58752 81778\n60730 92175\n599 1457\n27390 94653\n29984 89104\n25812 28360\n22656 83807\n4723 44320\n13806 81797\n46700 54167\n35769 45022\n34457 91225\n46858 95822\n43697 84496\n22304 89817\n49103 49399\n20410 64581\n13606 14018\n67433 89401\n56954 89870\n15853 52482\n60381 86401\n37509 92422\n12245 67371\n31222 55948\n43994 61452\n82280 93197\n15338 25311\n18865 29175\n31664 43348\n17939 42138\n30342 72614\n19180 52103\n51706 97641\n11150 64988\n40965 61307\n49765 71809\n73358 78894\n3272 95683\n86720 92988\n64945 91579\n38580 74906\n17524 77408\n59832 98530\n55955 79956\n12526 69659\n15718 99830\n8779 83312\n1122 74995\n82753 89106\n4400 55189\n41282 44941\n31319 41798\n38465 95088\n40348 49614\n54195 96365\n83302 87381\n12802 15899\n42290 96622\n22159 92254\n5711 12637\n8915 35792\n35764 55319\n14632 48971\n19152 26910\n76283 85586\n37027 78302\n27066 98494\n16518 49563\n7811 74534\n2149 9483\n21898 95706\n36101 84197\n53507 60087\n39692 59903\n17995 73866\n40608 50621\n4996 29914\n23602 43872\n46663 86558\n20984 86414\n80322 94180\n65204 67625\n9346 88834\n41593 90882\n618 63063\n11304 58095\n22230 26253\n10237 50559\n56522 93551\n34002 99927\n867 47464\n60358 97973\n81303 95210\n30976 57620\n34395 94442\n37093 38533\n51231 95193\n37399 62681\n16352 24086\n42695 81759\n45352 84529\n27639 93543\n28934 87967\n19677 97844\n25594 48709\n44010 56588\n27300 29285\n79072 92403\n5462 60145\n7640 11546\n60900 96820\n57045 60238\n7431 24965\n42035 55162\n39654 43378\n61505 73736\n25063 71928\n56935 60902\n7630 39162\n70239 71481\n13613 61249\n3600 88577\n54956 60857\n43426 93721\n52046 58867\n21963 57943\n4674 44331\n20524 30453\n48540 55818\n20531 89128\n7145 94343\n39595 63637\n60328 60951\n60492 91989\n50643 90983\n40746 49558\n24119 41897\n17728 25723\n19389 35422\n94 8082\n4706 28337\n24517 95524\n33190 57939\n41642 91531\n50494 81638\n19453 58964\n60616 73536\n17767 83404\n4392 27464\n23319 94053\n63087 81586\n13093 88074\n4983 7625\n13988 38254\n2174 44922\n32625 46553\n98243 99363\n52573 87994\n50069 69964\n21201 99177\n26606 90760\n56820 88677\n40060 64676\n18512 78506\n20956 92810\n20481 81082\n68672 89607\n19685 99825\n30028 59531\n45156 93973\n27986 40750\n20544 26507\n53807 61690\n48054 66894\n61879 79786\n73758 95546\n57125 86046\n3410 15688\n17114 57931\n87301 95016\n5781 87019\n23807 28089\n13867 22047\n66774 83452\n8059 33740\n14154 43659\n36516 80679\n66322 96352\n25658 90235\n42567 63507\n47503 94658\n45370 85820\n6876 35814\n74897 78348\n49299 57950\n2146 83755\n46812 51992\n45621 64604\n47954 94819\n9638 89886\n39786 57354\n32203 43819\n1105 13584\n7279 15123\n14235 41340\n59946 91657\n28639 61718\n47295 64218\n37706 99988\n20085 42093\n13952 82359\n10210 35496\n38300 45043\n5048 17332\n16662 40982\n24451 84203\n76011 85169\n273 49397\n53327 93127\n22028 82150\n23207 33797\n52300 57189\n33446 69801\n8268 52616\n28443 54864\n2284 97341\n63923 82451\n67811 80568\n55539 74175\n10560 72394\n3577 83350\n13858 89872\n73181 96504\n18215 41347\n1805 6660\n13660 71365\n39047 51630\n71229 98418\n48947 66455\n33443 91404\n38249 94789\n42844 43199\n7795 91084\n64571 95706\n15613 17648\n3597 86429\n29135 55832\n3244 17191\n14933 68556\n49679 96367\n22531 91950\n20982 43219\n525 24113\n9964 84035\n39103 45530\n57771 71437\n56535 74612\n45063 93318\n51323 75472\n16202 80155\n50535 71618\n1948 70816\n20646 34641\n7772 22463\n40100 88313\n43651 52809\n1398 77443\n18524 70954\n18562 98006\n37721 52177\n10924 32022\n8787 24274\n53933 77282\n73100 97397\n70276 80872\n23636 25772\n17892 55622\n2172 43550\n70626 80213\n50706 55807\n80582 90617\n17374 76498\n5217 11314\n13906 62628\n13422 60591\n27723 82127\n19901 54898\n55906 66577\n720 25999\n20630 36622\n35399 97827\n7283 88121\n34934 61460\n12490 20894\n13166 57587\n10638 63033\n40859 63094\n7296 37167\n35246 61594\n17118 74386\n46601 74343\n43153 67488\n38244 43332\n77512 96711\n18321 52736\n32856 44158\n5417 5545\n45988 96902\n36073 78959\n4220 22563\n7887 40576\n63175 87354\n40751 64486\n69371 79718\n57057 83207\n11370 95261\n69807 76762\n1928 29881\n18361 37236\n5347 39282\n8040 33840\n54487 72399\n54019 64930\n54281 96062\n55487 57068\n91896 99419\n57345 78783\n29240 51924\n36560 69699\n1981 89235\n18274 88097\n56739 63951\n86828 96950\n33596 82608\n28073 69541\n23651 51499\n46444 59150\n17486 64446\n17273 71706\n56614 91083\n430 71976\n55080 82985\n42234 94108\n11974 34871\n331 54157\n35821 70489\n4650 38929\n29350 48114\n44197 78476\n837 18129\n14690 57842\n23254 74636\n65180 82560\n6232 10889\n58169 79971\n33991 38346\n24137 72481\n71163 95203\n24520 28473\n66122 81582\n1798 99748\n6201 65123\n1051 83291\n6854 97927\n22859 60083\n3935 21584\n5422 90707\n27905 46223\n35797 68982\n69649 94900\n64957 87093\n52878 88919\n58653 82333\n4352 94224\n52360 82919\n61273 86212\n62812 94084\n7637 41581\n41323 58885\n59244 61148\n27263 82852\n78705 90595\n38865 73835\n20554 92485\n1888 61423\n92556 95389\n47554 97094\n35537 94809\n42127 85198\n30409 84896\n924 81911\n6695 15841\n82362 85823\n7918 23749\n2889 80030\n9409 51209\n27855 81293\n29414 84735\n24666 36250\n11856 51951\n67318 77252\n29806 65276\n42691 96819\n11349 15880\n28513 99269\n19944 74831\n6077 98530\n30718 76904\n61681 86873\n48702 88953\n78761 96911\n2201 98982\n39031 58377\n27056 51705\n46973 89563\n68714 89993\n22482 35712\n21942 30997\n47133 97660\n20726 54098\n13177 18257\n63720 96195\n17037 57069\n84806 96186\n8668 41732\n64668 68327\n44528 57197\n3831 12982\n5980 18683\n58402 78585\n14004 36307\n72021 78212\n16730 31988\n14264 31798\n1945 39293\n15348 73017\n14035 63721\n14065 47313\n1348 43522\n86434 95496\n42036 76771\n45856 62009\n23320 92027\n16009 37088\n15773 54602\n11084 59779\n18615 19512\n47202 92739\n42746 58536\n8003 39165\n50547 55566\n59687 99579\n81804 99975\n3425 32714\n48745 70216\n3316 79338\n20317 32928\n1359 65267\n41886 90733\n763 99195\n56845 86649\n59692 70733\n5674 27465\n87987 92408\n2672 42067\n43401 68061\n22502 85458\n51325 79480\n49465 87555\n23442 77293\n13669 68562\n21011 77136\n32253 93791\n24386 29981\n17217 84866\n64108 67671\n31092 80769\n64887 70096\n42510 43230\n11775 39221\n12169 57230\n33471 61588\n26078 26559\n89268 94750\n10524 19134\n40445 93236\n21689 74654\n7299 44617\n65711 84127\n12321 18495\n41567 71648\n36549 96489\n58754 98882\n53626 87792\n12456 81867\n2157 14268\n19409 98708\n33522 63373\n8112 11828\n47853 61103\n4821 84979\n24010 52389\n22306 55712\n98257 99104\n7080 22597\n4228 96307\n25192 96938\n15829 41199\n7089 45242\n35355 79425\n29954 80770\n76670 88459\n36910 61854\n45087 67816\n12765 16041\n24962 41587\n17681 99939\n53007 57310\n47625 69894\n12302 70054\n7727 60411\n41971 60360\n55179 70626\n49500 58201\n45147 72619\n44967 78402\n30996 97902\n84883 86265\n11978 26650\n1915 78367\n58565 95232\n22487 48827\n55040 89100\n12364 93164\n57772 74640\n79676 89404\n39095 64893\n2513 9717\n58469 79827\n5358 69998\n15014 84560\n37185 40829\n340 38928\n80611 83282\n10363 68140\n11579 34909\n17983 40003\n29908 52689\n44417 45658\n15794 65389\n4124 84354\n79446 95841\n61258 84356\n21580 86133\n49892 71904\n44001 45885\n59593 92482\n50570 55535\n24374 75398\n78874 87543\n16266 97103\n19457 81584\n53390 98914\n29003 78808\n27653 97399\n42082 58739\n51775 94530\n22200 73819\n27539 67220\n80445 84328\n27813 61350\n68006 89886\n6457 35302\n14146 22579\n85505 89604\n26834 34666\n65306 77997\n31833 38603\n2966 38673\n2678 76001\n43137 50873\n32047 33348\n13837 68649\n18039 67591\n22739 31952\n38761 55222\n36312 77169\n2526 59413\n38004 70407\n65424 85890\n4521 25693\n14588 45664\n8055 34497\n14060 62007\n16239 88174\n38632 68304\n71309 72383\n12295 98868\n14150 39016\n8364 62816\n32573 97914\n67653 92103\n35881 42178\n44128 64567\n42814 53560\n55188 98238\n41485 83646\n25317 46610\n17776 97249\n27799 74400\n61466 86074\n34524 89032\n24738 94119\n2100 8282\n15042 65087\n20327 38139\n40834 42480\n54873 87892\n82448 94009\n25013 40584\n14373 87801\n27755 54347\n66311 71646\n58046 89488\n15511 15891\n47651 79515\n77491 86962\n57690 67937\n16277 48296\n6272 28976\n20102 28681\n30399 39564\n48578 69322\n23327 31901\n59120 68510\n1187 85374\n15864 85188\n17151 93898\n70166 97902\n38771 81736\n36541 98076\n54721 87712\n26140 56968\n7839 44664\n35847 73301\n37508 64460\n27228 90108\n32446 56166\n49159 79339\n4821 83405\n1587 9337\n743 58096\n70749 87038\n18159 59005\n62621 68011\n54973 69156\n30486 84969\n32267 50994\n13963 21533\n11702 97423\n23213 98897\n8478 55276\n25984 69690\n68532 85378\n7084 79259\n44134 89026\n31767 49365\n17034 65682\n33639 63302\n54404 71685\n38983 55470\n35748 83985\n73545 98593\n45382 87856\n10884 60673\n20500 50267\n1363 60361\n48682 81920\n68020 76485\n36296 61530\n19432 75040\n51095 87610\n75667 93061\n32439 54136\n13504 42655\n7620 37693\n29274 47568\n68028 98721\n76613 89994\n48087 64788\n8462 25551\n68610 75399\n57800 63522\n58354 74504\n19822 86991\n46489 86834\n39811 99726\n75526 88409\n24949 77914\n46020 46201\n32379 62451\n22906 62842\n42664 82505\n94923 95226\n20636 72379\n34379 61454\n37068 97343\n71435 85665\n65367 86991\n38941 48394\n36330 65478\n50151 50752\n21357 46457\n5757 88211\n53754 64999\n27458 28976\n35137 94239\n5397 12975\n24795 58561\n29248 68177\n37851 98363\n91729 92295\n4599 40950\n37365 87226\n42451 50529\n7215 36403\n19784 88216\n21277 46679\n37179 57036\n5205 80469\n27070 93291\n13765 48551\n10297 95041\n31319 58023\n11290 60768\n42171 80086\n10237 87139\n10894 66212\n3867 72291\n30066 47399\n5823 34268\n26700 39712\n28875 60451\n4892 23594\n64102 79629\n42252 71535\n59487 95035\n88973 92638\n34528 77739\n15036 27904\n52623 73250\n32415 34468\n47089 94159\n49001 98437\n38511 45444\n45911 79783\n42849 71551\n7424 30725\n38345 50707\n15727 59320\n5545 93055\n53257 78512\n4002 83767\n11058 68936\n25342 60674\n23754 95306\n56163 96695\n41882 63894\n1688 44163\n77504 78614\n13863 19020\n42939 95359\n78019 82808\n16349 36627\n63495 68363\n50748 83125\n77562 86838\n25773 59982\n80149 80421\n21400 99220\n6956 99721\n44134 70104\n17135 69492\n20604 81465\n29844 47523\n17069 25048\n12329 75200\n44042 45208\n9263 87089\n68530 95913\n5527 80691\n15643 59927\n17433 53940\n70904 76985\n6128 67295\n3126 52542\n17409 24047\n32239 56347\n57514 86243\n44624 95075\n48894 58779\n41390 97430\n30950 35970\n84495 98708\n23751 60399\n32075 79330\n82311 97891\n53765 75917\n14366 86546\n28482 75801\n32702 67769\n6993 52699\n23106 41617\n53475 89524\n72274 83162\n43971 51133\n71048 82556\n13550 58152\n37694 93290\n10574 75924\n79995 88329\n42392 82352\n3566 42324\n32000 76508\n50132 60541\n10446 67786\n20477 68021\n24993 97385\n12466 34212\n53734 75589\n53901 83186\n59231 64537\n41172 73059\n2756 59737\n3954 18935\n60352 89363\n5163 37462\n8106 27200\n1761 9808\n56103 69396\n42229 46416\n29521 37366\n42520 52120\n18087 56923\n88524 99260\n32570 49814\n20055 97862\n36004 84627\n19847 56956\n38684 77873\n80437 90428\n31823 58731\n51442 83199\n9082 82247\n63403 98982\n85553 90570\n66426 70519\n49494 59551\n2179 55423\n20350 98064\n16558 66052\n37616 58028\n6686 64555\n32311 93901\n42014 87624\n36400 96138\n11585 43165\n31693 36499\n19562 72758\n10779 31123\n11703 69444\n51936 94888\n13343 79213\n22875 82739\n81587 93668\n64302 67322\n17574 90699\n71944 90780\n65735 99057\n4734 24265\n80011 84406\n25013 43733\n10908 74466\n4798 26828\n27364 63174\n33997 89348\n17150 93185\n30275 38850\n44235 49510\n281 89057\n4346 72943\n25944 69097\n40055 71364\n51080 99196\n54396 85533\n3588 41116\n21988 73190\n22164 34983\n15563 59735\n9609 78145\n41468 67108\n25687 32531\n61825 62832\n28452 63976\n56235 77745\n23472 52068\n73491 77050\n57898 69535\n26651 47794\n37482 75347\n27323 38705\n17573 18712\n34667 39017\n43817 43912\n26442 46962\n44395 75634\n23257 62224\n92430 95207\n313 76658\n18013 37695\n10398 90652\n55084 89345\n4841 13355\n4898 98588\n38465 73303\n8477 41162\n52892 84003\n72740 91300\n1289 75791\n32201 91359\n28808 30082\n920 87723\n3217 52964\n42563 58032\n18092 54064\n48398 73053\n24843 26306\n23119 51571\n35092 57758\n21929 28238\n19540 32703\n11616 90952\n3415 22406\n76738 99481\n6212 89757\n21576 81175\n26023 70922\n9568 92589\n14393 75934\n8756 33380\n13627 39338\n88880 98361\n24591 26309\n24703 93077\n58730 88517\n55532 91452\n39670 56899\n8836 62224\n56627 99084\n33169 56271\n54020 94660\n20938 56993\n14724 26450\n41362 53797\n43008 97257\n13514 97300\n2727 73145\n71983 96592\n27679 42839\n53569 96990\n63391 93647\n20250 50046\n72951 85419\n1620 27176\n50292 51825\n11590 69594\n26707 69462\n65715 73183\n7668 22546\n6802 96194\n20496 83957\n15923 64533\n73373 75346\n17781 50694\n13617 54846\n41617 46019\n8516 69295\n43933 56128\n54435 98594\n7166 90377\n23952 42342\n35311 44292\n9315 37525\n25836 95490\n16736 67121\n45527 64896\n1900 41876\n70242 98278\n52864 59848\n71295 82885\n22008 49310\n6538 65283\n16840 59307\n52404 82299\n32518 58059\n6333 8995\n19186 41235\n26717 52118\n2129 73952\n36713 70089\n35675 65973\n6802 96969\n69371 69667\n21912 30766\n96607 98495\n59481 60367\n30821 91795\n31486 89443\n3184 93243\n62268 88870\n45011 46408\n30680 53530\n25549 85789\n22268 45254\n17438 29880\n20624 54856\n6649 20509\n961 71440\n67937 77234\n48661 75953\n65994 92849\n2856 16420\n23376 77901\n38786 47776\n79330 82114\n13185 96669\n86035 88348\n36573 43921\n4547 77457\n85672 86359\n58543 88310\n8592 58311\n54976 91211\n34743 72399\n50340 99698\n34577 43463\n8416 17027\n47251 61320\n838 29855\n28702 51000\n39994 91874\n82612 84977\n18271 81185\n75157 99166\n25024 82520\n60148 99791\n40624 86028\n53593 62984\n29911 39309\n62342 95631\n5685 82292\n16655 18515\n29832 46454\n5302 73730\n6458 91034\n14555 72023\n36430 61098\n14866 76577\n43903 79286\n63495 83081\n56604 58681\n15619 17757\n24793 30365\n30913 97156\n62660 92218\n31568 98208\n54135 90895\n60638 71277\n28133 54328\n28652 33470\n29789 37710\n35489 48314\n14302 14440\n31105 92470\n21501 79938\n60982 72318\n13329 87134\n34131 37348\n59581 84729\n32220 39882\n37067 76333\n10904 75065\n35 22589\n45553 63096\n43716 72315\n2383 10543\n31525 66100\n48366 89114\n36757 63433\n57219 91386\n48887 62022\n1564 60860\n24161 26936\n42464 73445\n36633 76699\n21138 95097\n72301 95694\n59019 92282\n64627 77096\n44909 92756\n48156 77651\n14190 64054\n7325 67675\n34088 96678\n6718 69687\n55880 94350\n12629 83784\n27236 86485\n7741 88452\n208 16005\n53963 68552\n23010 23412\n77765 99961\n14454 36921\n64873 83737\n47729 98414\n29637 77364\n12870 52314\n22278 51800\n18049 83887\n12768 57099\n66520 76161\n40494 43993\n10137 47608\n43400 50562\n38951 39563\n10658 20831\n95216 99735\n35698 97539\n10664 61574\n15591 44425\n4000 90723\n6840 53689\n69979 76783\n7082 23596\n19545 67046\n69379 97166\n34730 72061\n93266 94482\n11617 88695\n95926 96577\n83042 91578\n8343 54858\n10294 31316\n1101 35598\n12185 51375\n25858 82469\n19301 61612\n38246 43397\n6983 45387\n57231 83932\n44395 98343\n32063 35498\n23087 39936\n64991 96125\n4244 14216\n11116 60660\n18372 83602\n23872 80261\n56002 56196\n23647 24449\n33618 77037\n74311 89717\n76539 84977\n6966 14491\n54471 83589\n67906 82481\n29229 43606\n62766 94873\n4018 33988\n7929 20874\n81466 82929\n35199 85423\n1951 78642\n50388 66859\n86148 98894\n428 99453\n1779 2754\n25651 26719\n27667 47979\n75739 84164\n29548 88929\n29607 62544\n87832 88729\n87577 97150\n26934 57604\n51506 72228\n48813 67225\n37298 40676\n57876 90206\n34779 76272\n53302 62265\n56897 99227\n19157 24837\n3136 47025\n86540 89410\n51743 96837\n47578 59046\n41400 43902\n25114 87245\n10887 80976\n29855 78564\n8447 94034\n39932 76603\n76404 99213\n25770 74311\n17681 82590\n28449 78864\n3043 98976\n3862 14967\n37643 45925\n32551 72950\n11267 53238\n14742 22720\n59031 70229\n55286 96163\n22667 89132\n1974 7698\n4862 90663\n18381 53395\n24531 85371\n3576 77023\n22271 64768\n6895 28495\n13670 39350\n3893 53141\n51178 77228\n29231 46582\n6011 40144\n19993 46458\n19604 64607\n30202 75476\n80949 94769\n4374 40083\n50644 74091\n2896 89960\n20519 41766\n43813 95084\n11427 19305\n24380 32067\n7847 33607\n25408 52026\n26618 51610\n136 25675\n8961 38934\n25685 78112\n79165 79720\n11235 24329\n9227 72210\n18340 20459\n3385 88568\n448 22206\n54184 91895\n42400 61197\n45729 60013\n40166 60101\n15448 16936\n22604 96017\n7069 23792\n17635 87209\n76588 96990\n19237 74488\n7849 49974\n36681 78102\n9359 74256\n2925 60041\n82498 91659\n32351 92890\n29706 62811\n48146 59464\n36293 74240\n94914 97781\n13885 31338\n55836 55864\n21269 98201\n27450 89411\n21422 67713\n54693 85402\n44241 58682\n10216 44170\n1176 85160\n63500 98813\n30172 42412\n1997 67399\n37947 75341\n4642 6083\n35653 90982\n5301 82527\n20931 86829\n25290 97499\n75356 91233\n17589 22267\n69972 96199\n71793 85850\n38643 82523\n5701 26512\n40084 56752\n12352 60843\n15875 51185\n14569 18758\n5193 14640\n3453 97188\n13080 14374\n27171 88452\n10984 62054\n54519 56803\n8895 94521\n18734 83687\n23509 75767\n26401 82520\n23644 43875\n17056 95754\n8190 65044\n40090 53877\n42845 59181\n31249 70786\n24176 51933\n66882 82561\n17725 50332\n53657 64631\n69260 81967\n48221 85156\n40507 90437\n44365 44868\n391 45278\n5900 17627\n19760 60027\n57178 62724\n55936 73984\n12631 19032\n296 59880\n33108 97939\n54638 93660\n25788 37408\n30000 69084\n39058 95790\n60636 87696\n20086 47812\n14991 22655\n22312 62941\n20499 51145\n2899 92977\n2568 90147\n28570 50176\n80317 86916\n36175 80544\n19324 65261\n22741 30233\n81744 91626\n24812 41006\n17753 50286\n6762 85381\n59332 95218\n55262 57922\n31196 34898\n62543 73125\n23102 25440\n34523 34599\n21665 84516\n46343 49116\n20252 40781\n80267 96343\n38195 43359\n68499 93739\n25508 97029\n19761 98666\n48741 57350\n44022 88197\n6553 77098\n9247 43595\n27622 31291\n63503 76406\n10908 98943\n42340 93471\n33167 47336\n74885 98648\n58773 92789\n21055 44743\n3430 77373\n3987 22937\n19321 77903\n70271 82070\n44340 55719\n27975 67525\n18275 90975\n31582 36292\n45902 50413\n23707 63186\n37706 58639\n20742 73658\n34431 87395\n26660 90858\n13226 75345\n6275 75274\n59583 92068\n37451 85660\n39095 49854\n65777 75834\n20698 92391\n62805 96262\n44739 95498\n2233 97668\n14158 57758\n33261 90296\n91901 94052\n72867 85200\n43243 85215\n42113 86804\n34809 73167\n50793 66680\n65481 96009\n14697 39078\n81646 90422\n52596 70236\n11738 33179\n53497 78632\n23922 43442\n24721 35804\n14004 72044\n10577 11291\n53563 62403\n45880 69640\n38608 59119\n50108 66925\n5305 17793\n2826 32589\n27196 94443\n62616 85934\n42490 65867\n9350 13626\n57346 85047\n1381 60182\n14238 19097\n82501 90544\n14241 73159\n2753 83440\n64537 97140\n25819 76285\n86413 95329\n75660 80098\n83647 86889\n98714 99477\n19340 95037\n40002 74389\n71495 93628\n41037 79960\n40983 92000\n49098 50957\n19248 50738\n38993 98153\n80599 87527\n3618 84050\n4255 92644\n28980 74846\n22748 24054\n41437 72995\n67262 97946\n40933 68486\n26191 96480\n18197 60811\n46580 50126\n38751 88456\n579 23008\n21222 54905\n53760 65272\n68962 87408\n14871 72461\n85141 87109\n38950 40616\n63715 82031\n51603 61393\n55730 62496\n58855 81508\n7077 90867\n69062 84333\n58288 80345\n1872 95288\n49605 63643\n26949 70247\n11258 17810\n11397 33484\n59043 77482\n12098 12617\n75207 77874\n60316 74613\n16886 92431\n9200 15863\n68355 80795\n71317 73277\n28932 35546\n24048 98584\n15216 97827\n66972 88012\n22876 90792\n9758 43458\n40392 72068\n56857 71030\n5142 46697\n37456 84545\n39407 93792\n12586 86008\n75875 87746\n14699 31760\n60595 90740\n32012 66018\n27572 49530\n10341 96349\n46567 88521\n10159 30321\n27184 42162\n66672 70887\n6063 56886\n22044 77599\n11347 98204\n6433 28210\n62363 63699\n17865 31618\n15960 17856\n65902 71491\n57883 77329\n39290 91376\n7869 57317\n43679 69367\n33218 45134\n10592 17667\n65788 86206\n6576 35878\n2156 17916\n34448 51568\n26744 61950\n26980 54344\n32291 56399\n12681 60546\n2376 40774\n15518 75729\n34262 36247\n9051 52157\n43310 71477\n64170 65980\n21599 23382\n6330 27111\n11546 46715\n5135 39453\n25893 35186\n36240 56372\n15012 77563\n55501 80480\n15110 27205\n62860 79758\n6503 79813\n678 81169\n50297 50486\n18641 81124\n17671 75317\n4167 37359\n30267 64928\n19669 46464\n59068 92579\n25408 57191\n49141 55086\n43119 89400\n37019 70672\n45853 80599\n10479 26758\n55770 63493\n40943 48360\n44908 63707\n47302 97195\n6825 24708\n83282 99701\n58284 83482\n44033 90798\n3145 99289\n28609 39306\n14423 68514\n2069 2441\n5320 82623\n2376 3184\n9694 32615\n7675 74185\n5255 91890\n67714 77309\n3287 92504\n26347 42384\n29907 77210\n6445 8341\n85002 90456\n14738 77551\n24952 83765\n4834 22002\n57766 88530\n194 62073\n54640 78951\n17079 28517\n93000 96025\n36836 54715\n13890 51838\n14393 70368\n24098 63142\n39149 77480\n19848 71661\n4520 18096\n45345 57221\n81938 86696\n46895 95868\n36294 87561\n53950 62070\n1632 15837\n84515 99403\n2469 4369\n18180 84595\n57655 79135\n13945 80381\n38578 64535\n15747 82416\n4860 36892\n4785 25224\n35765 39700\n60863 76478\n28122 94604\n59836 98694\n34358 47657\n1756 72951\n46109 91042\n18924 40266\n42490 96170\n63433 98709\n17692 59012\n29271 73674\n69326 89803\n25373 42543\n13232 21044\n47553 71388\n37073 47263\n35610 75842\n27318 94035\n22258 89661\n78310 79645\n5447 48281\n27484 47388\n48313 88472\n32666 49022\n46762 62704\n78487 98318\n70832 75137\n30481 73409\n12816 72728\n37434 81320\n49925 65970\n2742 58104\n31201 90378\n10653 45327\n59269 74683\n37573 70678\n36501 58065\n83963 98166\n5000 77330\n35381 87209\n495 34263\n61222 73155\n11528 25797\n15479 22065\n18247 83558\n51331 83187\n43919 53699\n1140 88769\n62675 67083\n19362 65414\n69203 92663\n23386 66598\n21208 56124\n9993 52470\n41143 45943\n82651 85866\n89466 96493\n72487 84272\n60216 67220\n46745 60754\n10586 48864\n28247 88646\n61955 88513\n48552 81512\n54451 86915\n18981 70135\n72748 84844\n16722 92736\n20543 67732\n11543 50818\n30587 41643\n10643 28487\n57316 73498\n9126 47880\n49343 88341\n12214 38453\n14313 74055\n13522 14473\n33577 88539\n7079 36144\n65835 97624\n9036 33373\n49724 62795\n59730 92772\n49442 87657\n7930 60487\n74456 98710\n83373 84341\n3349 84667\n37529 41118\n17953 21834\n36628 71769\n34634 53974\n66302 73015\n43917 83908\n36208 90000\n43874 48355\n67608 98551\n28912 56793\n7374 55162\n50226 90233\n28127 96520\n20838 79854\n8295 11583\n30872 99041\n32082 44823\n719 51584\n15231 43019\n12844 54412\n10693 75713\n52110 78680\n10763 41968\n49156 86715\n30864 72059\n5229 94310\n59712 84387\n35616 72680\n19499 80385\n42466 99923\n29846 85990\n679 78580\n8503 78721\n54822 85110\n35365 94923\n82480 84991\n9211 78723\n13178 28963\n29350 64786\n29406 65859\n25323 82924\n51059 65631\n71676 98246\n33559 65522\n65158 94274\n87811 93709\n91391 95941\n45287 53824\n21574 46911\n40128 67091\n12015 25178\n9758 36867\n26543 51875\n40078 47923\n20543 64162\n73647 98473\n22978 93989\n48886 55710\n58642 65979\n46537 71569\n9164 77425\n37615 62474\n15273 67594\n28106 67043\n79175 87818\n85887 93723\n69210 95144\n30374 56227\n57374 86730\n12591 45098\n43842 93040\n44594 91744\n17058 30721\n86423 96638\n82637 99695\n76682 91535\n39796 44387\n13558 62844\n5571 79112\n41285 93895\n12470 48481\n1407 2563\n13410 91596\n32335 79675\n83932 98410\n19591 94105\n31180 81437\n11096 99196\n79051 87256\n72508 91692\n18840 98740\n68597 75602\n25972 89047\n27895 56587\n13402 14200\n5718 14670\n11466 53730\n37178 51808\n21442 94749\n49616 50643\n43469 61483\n36701 48721\n74139 75155\n4969 83863\n43892 53883\n68992 82604\n38923 66872\n15268 79012\n2945 75582\n42130 79957\n45007 52116\n22972 79925\n5040 94947\n15400 94784\n4200 77984\n5820 21980\n9474 21550\n72396 94306\n14641 38263\n51716 59665\n54738 73642\n14588 47790\n3334 35805\n14562 27943\n21629 22573\n66759 99229\n5792 49231\n32272 46501\n2126 30527\n46310 92416\n40275 82784\n12201 18922\n15461 44763\n20848 95005\n10356 55101\n22002 69482\n12430 56109\n27369 29748\n1426 11009\n27300 85904\n64956 69663\n23274 29516\n11096 52172\n17152 91823\n23043 32721\n7201 76738\n40162 54746\n45973 61232\n46143 87657\n6579 86135\n11743 47189\n5230 49957\n71550 92353\n62711 73753\n35486 93990\n59646 75240\n23407 60154\n4792 27512\n37609 56137\n17026 77049\n37857 95256\n72731 96834\n31833 56656\n35160 45982\n39200 74139\n80824 92938\n42335 93975\n2798 17706\n16880 88750\n49858 93429\n68276 98975\n52639 75923\n15171 50707\n29169 38691\n52802 80153\n47735 80850\n62985 79285\n21637 53542\n79252 94533\n43177 70166\n3887 42806\n3037 45157\n70684 91646\n44597 95490\n935 5577\n31950 33753\n23705 96950\n23798 88878\n46576 84179\n3003 97306\n12695 84384\n46214 77796\n35094 48526\n51124 76797\n79660 90543\n70218 86770\n25061 67895\n10786 99366\n9602 37154\n885 81275\n8669 87351\n23363 82194\n28405 35120\n24733 46237\n3089 52345\n11003 58318\n23226 73314\n74653 77450\n5812 40653\n9317 29579\n67060 73011\n9709 70421\n19962 55182\n35347 97242\n9511 66557\n50121 97535\n1951 5730\n34941 49075\n5989 53314\n1707 28935\n26065 61120\n31725 98457\n35200 81806\n13649 61691\n6548 97445\n63998 89372\n36081 76619\n7753 25950\n57738 67552\n38623 93830\n10863 75927\n34325 89242\n43947 74131\n44870 56244\n4145 27916\n8796 53714\n88692 93224\n49969 91618\n12659 70731\n28407 80205\n4782 96773\n34819 38284\n24300 88328\n54431 89091\n28872 79707\n7348 11225\n39621 60877\n19019 66132\n27732 51349\n18690 86215\n20540 69533\n21082 46008\n65854 95967\n39156 82775\n41004 93421\n84909 98333\n61068 62476\n3684 15134\n23328 33973\n30762 44386\n24182 39813\n7129 42101\n40362 45711\n25994 51178\n42090 97173\n3399 94471\n313 81441\n22511 95870\n28865 97063\n10403 54699\n9711 96147\n7380 7694\n13444 43252\n4840 84832\n10360 38648\n76016 99769\n64667 74462\n10618 83163\n57344 96994\n63381 72557\n11133 58769\n37039 79739\n67789 92659\n72939 84722\n13795 64591\n70736 82987\n22926 37800\n52738 57309\n3936 77488\n60683 92427\n4173 32767\n41870 80984\n73810 85394\n42187 84917\n17343 48902\n32926 67873\n41670 74452\n40946 45701\n1898 60945\n55804 77519\n30962 90054\n27955 28892\n88081 97853\n47225 90879\n25272 77230\n19484 77882\n6959 46910\n43677 79506\n26407 65002\n46704 99435\n446 51768\n43911 44459\n24212 80569\n9897 81491\n17397 47528\n27679 99213\n61288 70263\n43037 70320\n32713 99392\n26700 95391\n72122 90317\n68534 74330\n47104 84030\n59844 69306\n37617 59742\n22431 47102\n72355 98518\n15434 66060\n699 49004\n44024 45512\n12424 72906\n29818 40430\n2061 73053\n35736 76502\n18407 72872\n29344 54597\n11001 71421\n16863 78017\n67689 76713\n23827 68761\n15879 56979\n31071 74251\n27901 68083\n78002 88205\n69992 85373\n24237 90397\n35589 79595\n52440 74347\n35353 38581\n32762 46176\n60540 91334\n64032 95402\n7368 63630\n2488 24731\n41700 71952\n85434 93336\n25708 91616\n7053 60798\n4526 50176\n43717 76023\n14764 25755\n8969 63905\n57791 99214\n7880 42177\n23099 97985\n53599 57169\n65580 66272\n29172 48701\n55977 82219\n41704 89734\n77653 88388\n16003 82067\n73080 81375\n88999 97395\n17016 91290\n448 21785\n43846 51646\n6325 26382\n22396 78665\n10086 51974\n16604 96381\n49145 92212\n24417 73475\n65937 78847\n69951 96222\n39802 90710\n79409 86708\n36097 58608\n33851 63179\n77518 78386\n66905 96414\n33913 90464\n22104 23998\n19334 71331\n95331 95605\n19240 61960\n16812 67771\n9973 82391\n26609 93845\n41231 55686\n36311 52714\n20578 77062\n38696 49468\n31771 60129\n53929 95293\n9367 89023\n3731 68822\n78448 92105\n46499 80363\n7191 11005\n17141 94414\n14645 89998\n48565 77504\n37529 56510\n15003 61028\n33373 54611\n8255 30972\n40741 43561\n27671 93070\n57994 75228\n42264 96714\n25895 49708\n35234 52385\n15621 15871\n56632 76992\n10260 46368\n30882 42188\n26562 56303\n1726 27413\n55376 99699\n6842 72527\n44510 64000\n21567 81186\n39829 45755\n33102 46812\n54978 75593\n42679 67782\n29523 82379\n3502 60045\n47472 59186\n72200 73137\n58703 74956\n8056 81407\n70672 93522\n26756 78256\n34397 92813\n23565 26236\n68204 90636\n72685 75682\n24423 53121\n50305 87169\n24291 26167\n13582 38970\n19807 32025\n7966 36024\n31992 39831\n74615 86265\n40946 98697\n2546 43783\n2050 53171\n7894 83232\n38305 89478\n67130 68334\n31029 63612\n29240 82524\n39367 47370\n6025 29310\n11482 25184\n31793 87112\n17615 28804\n22310 54712\n76656 89225\n35925 52814\n14691 95158\n14042 52393\n19942 72546\n66581 66851\n6839 34070\n19850 37863\n19150 64207\n12781 78387\n5261 93089\n15806 39590\n80946 86804\n19145 78089\n18964 23380\n648 64416\n77694 88137\n77178 86572\n44630 60846\n8911 70732\n3900 21008\n3636 6682\n12180 85017\n16314 78876\n39233 44742\n39033 89698\n25652 57486\n79470 95139\n58544 87500\n26436 56776\n2320 61387\n68340 87273\n62087 96891\n7878 18613\n17768 79830\n31800 68752\n6480 31060\n58455 73922\n23476 43739\n67178 93708\n400 10472\n29740 45157\n6295 49667\n82069 93001\n26090 74603\n81365 98345\n54472 61207\n71586 97340\n68152 99754\n20958 41720\n13641 83561\n1117 86869\n12522 99841\n7893 51496\n14504 66718\n18582 71221\n40073 99960\n64187 85505\n13445 47445\n14838 57812\n19522 56370\n56978 81803\n84767 92294\n61644 64338\n75820 94601\n35115 90794\n4122 4563\n25492 61836\n36021 45308\n60214 89633\n53501 70761\n79796 99728\n12008 90637\n22445 67658\n73745 75883\n48195 55462\n22043 49546\n2564 73166\n1460 82484\n89271 93404\n5456 8858\n816 77577\n66540 71772\n5413 57417\n47607 63584\n68596 79494\n85313 91684\n57351 79216\n12100 94338\n52197 70762\n22288 27037\n35807 71978\n31688 95099\n2888 97168\n48324 72507\n45206 91786\n22022 32938\n21043 44646\n15857 23516\n42748 61665\n80683 89550\n51084 69423\n13175 33734\n57826 73362\n13090 76905\n29871 83713\n15403 96270\n67520 91696\n57727 58057\n41338 96574\n89272 95608\n66739 75029\n15338 57261\n64231 78942\n48638 70297\n61402 89039\n10429 95814\n49503 64259\n23954 59611\n37307 89090\n89157 94876\n13414 81526\n20444 67260\n687 89179\n2239 94233\n12242 84221\n52038 63630\n28873 72146\n31088 92419\n47147 95409\n24002 59259\n65664 78506\n1648 13703\n34512 90648\n52221 79498\n25371 87522\n30728 42292\n12360 99172\n33694 40138\n75405 84448\n65368 85693\n44008 81444\n10494 93569\n1892 49998\n51744 79617\n44034 87028\n21168 28405\n57372 72936\n10846 75918\n39397 88613\n53482 80389\n32358 71796\n18684 28311\n67160 86956\n64684 88079\n16485 27080\n8577 60328\n20473 93046\n33811 92530\n341 19513\n816 95027\n25765 30608\n2921 11496\n20300 98501\n9122 60003\n31331 66488\n47588 66158\n3364 81547\n13044 81188\n34921 50118\n26421 55210\n54703 90716\n24066 43234\n29619 78251\n82781 91794\n24276 90406\n3502 49873\n5673 89289\n230 94221\n40729 65176\n2431 59881\n31733 45564\n2305 67964\n19136 36244\n20911 50745\n71341 74567\n57041 66386\n26763 93638\n97496 98762\n77369 86715\n54139 83291\n45893 58602\n1460 51737\n44067 96315\n15224 37120\n9985 21609\n22936 65735\n5735 37082\n20319 55173\n33269 46088\n67856 95667\n39532 54299\n83272 85368\n50740 89771\n17392 97225\n64009 69771\n70605 88328\n49421 62681\n1834 5334\n38703 65636\n18583 55996\n52390 53985\n58334 80643\n58201 83566\n47934 59774\n66721 69704\n38233 39405\n64252 71425\n1211 53578\n44803 99175\n26319 50422\n22306 30806\n8108 22676\n1025 61715\n55255 62462\n22740 83460\n77560 96281\n49550 73958\n63376 76269\n7191 54569\n19420 76936\n13933 42045\n6041 12744\n33542 55771\n77367 98720\n11511 81134\n32970 68000\n72522 79330\n8541 46673\n23143 45762\n18069 51562\n16232 47532\n42527 61938\n22060 95541\n44150 68113\n34522 60348\n15138 46729\n2330 83903\n55409 97013\n53192 57400\n52162 89617\n46027 79230\n39423 92406\n53394 61836\n3808 89729\n43360 46787\n89465 93059\n7424 76613\n61072 66233\n34918 40737\n58764 82031\n52083 58910\n71821 90017\n28047 48622\n17112 68237\n10193 82166\n69172 81687\n24609 93020\n62438 67273\n47878 53141\n14063 41448\n54653 73657\n41728 65117\n50100 93992\n54025 72955\n39550 78499\n20889 54086\n10007 27427\n72281 86511\n4324 15863\n2296 90067\n51945 79929\n37605 89415\n498 43336\n64811 66612\n34962 70283\n79797 80213\n32826 64487\n32591 67424\n4892 89137\n9654 16429\n50039 53514\n42365 87775\n4171 47066\n12054 70399\n8613 22602\n62060 77128\n35111 98562\n10545 88229\n27536 68859\n1246 2261\n31515 40460\n29231 91692\n9734 69783\n44442 83783\n18651 32291\n37970 42333\n37381 42403\n27851 76378\n38785 86103\n45297 95061\n5644 63111\n11257 27060\n65784 70734\n6819 17280\n23292 93234\n80380 94396\n74874 84461\n21208 38765\n52649 58473\n52563 56546\n74898 98053\n46382 57977\n18402 74634\n25927 99385\n8559 81446\n44555 89241\n68032 91140\n52562 77930\n9653 65818\n6365 31788\n627 39022\n10379 90963\n21182 28415\n16224 96734\n44742 66352\n33779 53106\n36174 66950\n11300 17177\n5858 68454\n1584 68801\n68450 74628\n794 28260\n64434 97461\n11139 84969\n23722 50365\n32706 83363\n21041 66707\n32199 71716\n77530 97038\n45816 53046\n27289 81108\n19408 72807\n73396 93924\n25333 68464\n29910 69948\n21917 52830\n51416 78322\n43639 48620\n16818 89269\n68955 72852\n28229 98949\n60586 76836\n29008 48246\n3154 53254\n18866 86209\n2031 75964\n8628 74399\n33151 92339\n78012 96266\n398 34101\n52233 70829\n7943 86812\n32917 62528\n14159 79169\n25815 42179\n18839 53420\n7583 41124\n55773 65650\n1157 24622\n3238 5534\n11126 60837\n5924 52630\n17080 75221\n2089 38455\n51769 84874\n22671 77904\n42765 65921\n15891 70955\n13069 19169\n35301 84719\n3472 59223\n65294 68791\n62315 77304\n37290 48949\n24295 83176\n42045 71383\n68225 80923\n29817 48608\n46459 48580\n87734 95752\n397 4886\n40529 62276\n51260 98671\n26487 74987\n62793 99791\n20689 76058\n6365 74369\n53024 94483\n33450 76204\n28292 54299\n59585 82631\n45513 59269\n15430 59263\n70927 72025\n22496 90598\n31263 75031\n22272 46747\n46143 68195\n13227 61570\n78783 98443\n64832 78643\n24953 27419\n45264 84341\n26804 84175\n11644 95716\n4277 57459\n46185 63103\n60 79221\n30823 74838\n16591 87998\n32410 72904\n9202 62693\n73508 85851\n8965 49040\n64025 97353\n5892 35171\n68974 79395\n1545 86708\n17097 36621\n15612 58399\n17996 29963\n58047 82883\n16735 32586\n50628 96866\n66526 89577\n3187 85598\n5017 99261\n38855 91880\n20046 83877\n37980 44100\n57318 86306\n69778 76498\n29800 92815\n25271 96468\n58721 83171\n75208 82223\n2632 45573\n44477 47718\n20234 44026\n3479 79019\n41233 86146\n60619 72956\n2404 2405\n48423 91615\n10996 27685\n75425 97109\n31111 86668\n4403 35381\n52812 89835\n17671 90350\n48294 59505\n29080 31448\n4651 72420\n12803 81477\n49483 76640\n3763 78000\n8744 84361\n5559 90798\n65067 87418\n87629 99984\n4382 62062\n71374 95476\n76038 94651\n82319 89922\n8498 54188\n53964 58036\n9977 90729\n26534 91037\n22636 41849\n20908 33717\n72353 94625\n4622 46281\n22285 61033\n14169 28326\n3613 54034\n18353 64758\n10381 18702\n25871 93097\n56804 79522\n36161 50512\n30972 57303\n48950 55445\n8715 82364\n6073 97685\n34622 36122\n45772 67770\n47281 78705\n6476 74929\n22701 84553\n38610 75113\n55129 75035\n90225 91685\n51773 62351\n5307 42765\n53693 65882\n83355 91310\n66376 77007\n25741 87935\n9258 62767\n10935 79500\n38728 38958\n32690 72909\n8613 81836\n18507 49860\n5988 21423\n4475 77640\n52115 77379\n18250 32966\n55745 96702\n21723 80075\n857 19119\n2797 45880\n42561 56829\n45288 51087\n45710 52664\n5296 56760\n38841 62988\n28209 99161\n14300 21449\n13262 86591\n49066 59932\n67987 79754\n2977 47122\n8289 89139\n6734 96409\n45582 76800\n75513 78377\n18860 78093\n14133 48414\n31892 44070\n66890 76752\n44630 65485\n17206 99881\n24094 37345\n62643 86846\n47297 87825\n57983 87992\n5712 70120\n51574 70473\n5209 7097\n25200 38788\n2996 82965\n59203 90243\n68571 72803\n20857 35564\n5535 50818\n65795 79458\n12799 96336\n42523 49576\n64799 65889\n31363 34956\n80711 97023\n63732 94437\n2846 3280\n3709 30201\n73782 95847\n588 12068\n61782 87903\n17361 57939\n8970 58531\n65215 98161\n29190 38037\n2260 13952\n18919 62785\n11970 25070\n14634 44023\n75400 76161\n2624 67945\n988 67004\n9810 47274\n2693 63965\n60148 95947\n14291 32577\n17386 74108\n17201 44340\n89869 91263\n50433 96371\n63661 82851\n27292 84037\n18727 87857\n58401 94290\n49510 88525\n12331 40085\n26095 60886\n9757 18204\n42060 90262\n55010 66329\n17372 58725\n71325 75394\n29265 92819\n56581 73119\n15594 65225\n55392 76589\n36912 68453\n28964 81879\n71326 85299\n18476 53545\n6822 42149\n22145 44056\n8055 22844\n68993 75552\n6165 99109\n20128 43323\n17760 91436\n15352 70502\n39566 85833\n16665 31553\n18224 19304\n23421 53448\n27604 77962\n19934 74125\n13168 43991\n30969 67028\n33048 94082\n69618 95492\n65690 78082\n55477 65655\n30306 31534\n44288 50489\n5305 74444\n54409 84021\n1643 11600\n3552 83927\n2482 29423\n17094 50872\n77121 97288\n21270 50875\n62052 87739\n20035 45964\n28828 42273\n6381 52430\n15968 42525\n41262 89350\n52385 98180\n41181 80654\n49540 99652\n22020 68523\n57467 96913\n29112 75461\n839 3845\n40277 61520\n65869 96034\n41325 63708\n5118 19117\n20509 26980\n12667 13364\n1993 23215\n47719 83743\n15257 49490\n11738 14720\n4773 83925\n14635 72359\n54203 59988\n33449 75073\n16792 58010\n55961 96670\n43412 63576\n43090 71286\n26180 39921\n3663 70410\n10366 58555\n48235 96628\n33791 99087\n3812 20653\n2247 80237\n14446 91814\n9358 31853\n2932 78376\n18905 92473\n24380 40120\n27359 37586\n23804 40655\n9824 24458\n12820 28105\n71041 75970\n857 46766\n13332 65495\n38560 94886\n48224 91300\n19742 24283\n39814 74194\n71418 81169\n66740 84753\n51022 56113\n14487 43277\n50598 64659\n18855 72255\n2001 79798\n38807 68487\n21298 93861\n13175 28864\n80160 89276\n18368 45989\n25414 57910\n78763 98565\n1770 50296\n47066 53789\n6382 49364\n25701 36527\n27727 30952\n91169 93091\n1490 45782\n23718 34888\n71407 92748\n37281 96134\n27142 62042\n17602 34923\n77996 99503\n59061 79496\n22443 70076\n59655 89761\n54713 56080\n18931 90953\n30004 43130\n23946 98543\n32251 68782\n40956 41130\n37996 91458\n17519 86767\n42149 54074\n46683 57143\n49939 60394\n9756 64911\n31629 73506\n88732 91833\n85960 93582\n13579 69512\n13116 71325\n37429 94292\n7970 57283\n6957 61364\n85060 90879\n11524 20358\n44633 60559\n15155 52839\n74978 95106\n51060 76805\n13269 66970\n8698 28066\n17675 51166\n36279 71266\n31161 60508\n12267 91324\n15164 80307\n29056 78773\n34504 98603\n10649 59303\n65938 95161\n22782 87717\n33302 46659\n24743 28097\n48672 85856\n79832 89994\n71954 89094\n86159 86409\n193 73657\n21804 78712\n20181 77862\n80175 91604\n34731 96890\n63289 71825\n35473 62839\n38134 51417\n15517 67153\n32462 46531\n72513 82117\n77093 92583\n31893 99321\n58412 92666\n30838 92244\n87536 96982\n17477 61600\n8194 53478\n39674 57716\n28831 33509\n3796 30609\n16781 73430\n22474 42581\n1983 68682\n50920 58201\n127 10333\n33940 90762\n26688 42207\n27018 75883\n45552 46708\n47374 66596\n58279 91988\n1849 80805\n79014 91865\n95173 99088\n33925 51911\n59543 91912\n21734 87675\n2107 19336\n14715 96527\n355 41526\n36724 62517\n64628 77175\n77409 85490\n4995 47435\n45037 76626\n21489 61137\n53122 96277\n57599 61256\n67987 99986\n37402 83695\n442 23165\n10254 14422\n15347 21294\n57741 95641\n10299 87462\n17991 64026\n70924 78884\n1052 61667\n17949 82346\n69479 76239\n41368 84310\n894 34014\n29250 31848\n491 63019\n5611 61643\n49235 51946\n7571 85370\n4562 42088\n1872 90499\n28986 57402\n24704 33058\n10614 16296\n24810 61192\n47962 87651\n69843 78866\n8379 12265\n57806 94432\n9249 58928\n19925 60351\n4782 91984\n40068 52843\n71612 96877\n38344 84114\n3302 74655\n51581 79659\n9492 28345\n18099 92539\n25477 31505\n57402 88998\n13062 96113\n46996 80410\n3293 73559\n68896 82738\n22725 47914\n62767 96765\n3506 34295\n21411 24712\n52976 75372\n6498 68374\n44920 64016\n13783 25546\n42728 91327\n18010 73313\n19807 66331\n53111 91347\n30990 37967\n66016 70915\n4053 18297\n5478 72779\n14910 81232\n26531 74604\n19836 90268\n64243 95791\n42165 72102\n35828 57530\n27748 55079\n2381 31152\n304 14734\n7646 91513\n38427 42165\n64231 66271\n31099 41507\n24785 88966\n23088 77489\n4744 74185\n51166 75703\n19033 80950\n31421 79843\n71046 81760\n71472 77014\n9792 72516\n24760 83002\n51373 64394\n16125 56240\n22008 68615\n10996 72510\n57042 59447\n25698 42234\n69763 72609\n53756 92280\n34647 77888\n54860 58683\n45307 62555\n51078 89562\n66003 94715\n12370 46731\n69841 90753\n4715 29480\n24233 32576\n2359 89837\n7579 24546\n1893 74615\n8310 10359\n50403 76280\n5616 93690\n43894 97158\n416 33337\n4290 97673\n51484 90175\n7401 85756\n17886 34465\n3448 56771\n13027 44760\n85712 95213\n51088 74336\n48345 63510\n46845 92090\n43766 98864\n41764 86101\n33325 40177\n10799 76112\n44768 56613\n13286 18588\n16536 77096\n26685 52677\n4805 62035\n8680 42651\n7978 43455\n56215 96782\n83479 91964\n46390 75553\n60305 81151\n4026 6207\n27263 58680\n28156 89576\n5981 42308\n147 90830\n61884 68627\n8301 35364\n80618 81317\n38223 67688\n30859 52779\n9449 33937\n18945 79009\n33322 58672\n11248 25999\n9189 14629\n37183 77206\n5802 45912\n7806 34860\n81695 89135\n29367 76410\n47230 57567\n62497 99631\n15029 99784\n36492 67630\n4262 71540\n7765 32415\n72643 79203\n67721 91632\n40320 64514\n16671 98151\n15508 99214\n59987 97713\n69844 98480\n60290 73824\n35803 78365\n20272 29881\n53825 81945\n17686 86429\n67857 82491\n45286 68470\n18655 85583\n15560 55858\n31474 41162\n12855 70201\n10971 22995\n63412 72307\n3746 36915\n73922 76641\n67477 86131\n4537 31859\n40067 75454\n29976 39870\n31874 89084\n24593 59520\n2291 69498\n3106 49907\n13112 18093\n32076 99527\n35774 70675\n47672 89765\n82136 84489\n10962 47334\n74726 93903\n8778 90645\n9726 31050\n24061 96909\n57653 83170\n47510 78352\n7940 43628\n67152 70965\n6884 32247\n58663 99358\n14920 45785\n28539 38002\n8901 42310\n12072 32838\n64593 85069\n49550 60056\n1063 10472\n49583 98767\n83621 98366\n49724 75106\n63501 80604\n57257 85638\n39983 88993\n77980 91921\n60720 97186\n88484 94407\n24333 72938\n15259 26950\n35167 64759\n16000 38885\n17157 73112\n21903 80950\n18353 45707\n72609 88410\n85803 99153\n9309 42641\n62859 77434\n52883 53908\n17590 48516\n11899 25773\n31890 50523\n43328 72611\n63429 83879\n51965 54863\n2045 42137\n42308 54693\n33906 63437\n24642 94411\n11021 48593\n40659 61979\n72460 75431\n13244 50435\n44453 50904\n64208 83233\n44004 59681\n80501 87736\n13089 25729\n64593 75861\n30794 59130\n95068 97532\n67257 95381\n40524 41095\n26340 46655\n37953 93532\n30490 95300\n36253 55597\n6601 27271\n39449 54259\n45186 50372\n6074 24922\n13381 33521\n24204 46593\n38810 67816\n43127 88148\n41779 95544\n7360 18509\n18526 91257\n20408 30558\n13242 75992\n73042 93776\n31341 65351\n59966 90550\n30976 85399\n58641 70061\n43477 83570\n12500 56540\n39385 99623\n80597 87098\n572 17195\n37494 72658\n14552 98368\n36789 59421\n45259 61428\n24944 89581\n22270 39788\n36694 61790\n39221 86365\n28397 35671\n11860 13366\n45671 66102\n46326 69249\n18663 79931\n33720 76501\n73987 99734\n97094 98754\n27161 36612\n23075 32628\n22248 65134\n17875 87800\n30772 39222\n8102 76784\n20581 98820\n33416 78480\n83335 91687\n540 43070\n15947 18003\n22461 75534\n18742 93137\n20905 77858\n8805 55958\n22426 59789\n25011 69686\n9319 23413\n37072 68255\n27763 86374\n10079 35290\n46475 57358\n11371 96812\n85841 86015\n39119 74061\n27682 95252\n44946 54764\n24815 41650\n13123 24756\n410 49778\n71406 83260\n44586 69915\n78126 87356\n44678 68837\n36577 77675\n25090 85515\n36848 60213\n60214 82127\n19663 48238\n27244 97982\n47826 61542\n22802 70529\n5984 61659\n4666 93239\n14314 23339\n20284 41793\n39430 57574\n67007 83992\n33117 67360\n52946 70785\n32279 99711\n51365 88990\n10805 66473\n47072 74831\n51724 95142\n39718 47653\n34185 52863\n66018 92433\n47334 55002\n27340 74087\n28545 97844\n28747 52488\n10161 90503\n82079 82104\n34696 51320\n29358 54704\n82968 88569\n71950 96812\n5331 28635\n6141 44177\n1528 15061\n9556 57608\n72935 95176\n36602 81021\n57748 89160\n46066 54354\n85943 92012\n22760 40486\n2547 91533\n16529 92274\n8650 94149\n16932 62123\n13654 43033\n17979 30226\n49572 65677\n19613 70745\n68703 68746\n54959 83318\n9595 15073\n2103 57050\n20659 59561\n74096 88987\n70350 82956\n62563 74689\n17777 35182\n7203 83990\n41581 80779\n53087 89198\n75385 78615\n11814 25350\n71346 78941\n36379 78256\n6170 8236\n31745 94630\n28365 41284\n63026 72142\n16860 91851\n67700 85072\n11176 16561\n61632 92157\n43082 92755\n6847 81275\n22528 83482\n21805 71756\n23030 66749\n44134 70826\n87363 90125\n55294 79157\n86238 87551\n22790 26009\n3880 91066\n12111 12999\n40158 92163\n77841 97659\n16052 72767\n78368 85121\n14922 65294\n17283 75359\n50259 97427\n20578 93871\n31022 72279\n23745 66577\n31369 52232\n7489 16675\n81687 89416\n2011 38266\n37695 44706\n1939 50577\n12364 34367\n7492 88315\n60861 92504\n34524 41606\n17429 28991\n45234 59823\n45244 60810\n16175 53427\n15729 77654\n2422 84930\n5164 52101\n11258 35968\n24449 45602\n34334 67372\n23921 24103\n86857 92137\n13833 50878\n5980 78646\n13700 46330\n9867 36496\n58260 90415\n65470 74006\n9150 13243\n20904 27143\n7834 74224\n29255 86170\n10601 76425\n45335 81133\n24405 32429\n26624 55824\n23307 99657\n12119 27605\n6811 27031\n24823 93224\n56433 69358\n79400 95369\n44025 88484\n1215 31568\n33355 62640\n7591 21581\n25914 35261\n3883 9144\n18412 89469\n79003 86059\n4394 73575\n16840 75914\n37667 43286\n33410 46636\n68443 89290\n44047 66610\n39261 98694\n11627 39887\n40059 93438\n16112 72035\n15363 65421\n44161 97790\n15399 61010\n37114 63865\n7243 75611\n63279 76780\n41823 52475\n17064 73461\n42657 43406\n16210 72337\n54552 74199\n8730 61562\n46966 76409\n52186 74711\n40281 45172\n60859 81846\n11453 31236\n56845 97476\n11526 51115\n64140 96819\n5599 61594\n10721 75389\n27728 48079\n9291 28049\n21927 52034\n82477 83183\n69004 84716\n39962 87536\n95621 96203\n21296 30860\n7171 11594\n30745 92055\n67921 92221\n12373 30185\n20276 44110\n37723 56901\n713 62647\n97471 99906\n1245 52989\n15960 76236\n11231 20960\n5488 17558\n57614 74325\n58760 69939\n6784 7152\n26546 98143\n40513 85256\n17403 47316\n5542 18430\n12828 21785\n51612 90979\n8735 93139\n44730 59608\n33841 70538\n194 84219\n9441 50053\n6368 6837\n56237 84548\n73684 92567\n46359 65881\n8649 16179\n30666 47429\n61413 96785\n46503 76983\n45753 70260\n6404 65388\n45296 89344\n85984 97367\n23604 84254\n27323 81601\n3742 63931\n80658 82533\n67583 70775\n70677 76732\n22821 83291\n51805 65831\n791 90576\n23072 89865\n25108 28613\n4866 63304\n23745 87283\n86875 88209\n21529 76651\n4860 91129\n15399 38278\n12683 45948\n19701 61458\n26372 73787\n32332 62604\n29099 32057\n69892 88892\n27101 53538\n38936 45788\n55742 80498\n23808 35629\n11892 90968\n14478 17551\n8311 74537\n53996 84404\n31584 64220\n14177 73660\n82878 97570\n10240 84561\n63145 69640\n11057 45076\n63527 73235\n57238 99731\n19519 35654\n42070 69918\n78765 89805\n73218 89405\n16538 46866\n20073 84904\n21334 40634\n11972 41229\n37108 74293\n67392 73531\n35862 90277\n1594 67125\n12846 39536\n36298 60968\n39498 49128\n12131 21379\n53027 63852\n25329 62751\n9585 86626\n346 42020\n26068 99570\n25778 72462\n39542 53331\n42265 52669\n15754 41090\n84038 84283\n8964 83719\n6442 15873\n18977 57795\n56881 96737\n6308 19820\n31147 45189\n58016 59463\n4691 95281\n39651 60386\n3067 64630\n39706 58712\n1785 67997\n59940 74410\n79006 84996\n25135 91355\n40908 89871\n9766 74436\n4233 13424\n3499 19913\n22116 24331\n52724 80723\n44072 53755\n26681 94629\n29201 63375\n57918 60219\n20313 22299\n12882 76983\n12477 20006\n59786 61906\n35726 36107\n53230 59189\n23899 48666\n38589 72464\n67483 97799\n44397 84191\n70015 86905\n21484 77435\n14604 68987\n15920 20467\n15244 67328\n72527 73060\n13680 75035\n2633 60572\n33960 90608\n7243 47790\n65842 99044\n15726 82584\n4453 73345\n11759 47386\n8107 44279\n58872 96704\n60068 80316\n6772 44042\n21683 79224\n57210 90630\n66432 86308\n36293 52290\n35369 78771\n54170 93435\n35195 53613\n33759 68195\n52795 76702\n612 65433\n50312 68349\n25295 38720\n5680 93611\n48928 94761\n22787 94374\n67071 78162\n32928 57241\n13711 67212\n26533 33092\n35675 65354\n12390 91192\n7204 52375\n8871 55044\n4420 67334\n34036 50094\n1854 87609\n75464 84127\n25565 49669\n56648 67331\n47351 65478\n70573 96770\n25357 35867\n60123 76098\n56382 85908\n77203 90175\n78199 87219\n2229 36086\n75580 89066\n4860 75535\n26836 40753\n19734 78155\n42158 64835\n30870 65398\n60669 86167\n19875 70910\n30008 74112\n47778 65552\n64879 83840\n39680 81587\n35943 94051\n4020 42888\n33772 77020\n23864 54505\n93637 99833\n23940 80881\n30868 99742\n45631 64585\n77735 83089\n1878 90858\n32485 47713\n35027 68311\n6176 59588\n133 38735\n58566 73226\n25286 64543\n67846 70926\n14378 76847\n47347 58119\n24953 94822\n42330 70010\n17986 95034\n5632 14507\n25870 47418\n11898 46113\n21048 75617\n59706 76450\n25073 35917\n25254 53099\n47264 66801\n70599 89433\n65714 87295\n65779 99125\n40695 43691\n3432 30805\n2373 48918\n50486 79829\n3651 17903\n24466 62295\n32646 75923\n36399 69271\n1560 90699\n71971 92699\n57646 77608\n37897 88077\n76541 76956\n35023 44376\n58493 79393\n33871 57049\n53977 59905\n6474 95124\n56787 77827\n15206 50646\n30859 31829\n26599 96880\n8686 73560\n29634 59723\n15525 15867\n83249 97786\n59782 93497\n22107 77272\n2304 46370\n38304 69531\n7237 40446\n79816 94500\n54912 63017\n40606 82956\n23182 32103\n14182 20842\n15326 36502\n24989 61022\n38783 81764\n47157 69988\n60655 76887\n7932 25348\n54896 70115\n70774 95135\n37610 90089\n55757 59508\n36141 83843\n53043 63560\n56507 84405\n43408 76108\n3772 83520\n42437 60400\n36493 48575\n17324 65602\n7397 76289\n49077 60315\n42345 67355\n29565 93126\n67167 83655\n20958 50221\n15523 90870\n10639 89223\n71026 78539\n26914 39816\n25947 48894\n18696 42323\n71549 86209\n71224 89375\n49041 86892\n21898 81222\n38328 57862\n55672 80724\n34039 54897\n49885 82738\n43244 63821\n27011 99844\n41640 78002\n24853 32533\n38163 45620\n13569 89378\n2413 23417\n25537 83251\n34048 82521\n70105 91728\n18595 26668\n14591 73793\n24521 49943\n48594 66798\n16650 57352\n8939 45761\n32296 34950\n54774 96960\n30705 98725\n40205 60818\n38410 85019\n54735 72850\n20085 67756\n361 82691\n15960 95893\n2588 64713\n51750 78715\n22501 38532\n31453 96321\n5580 33590\n34198 70438\n68725 78284\n48289 72261\n64339 80038\n71980 94072\n29321 92018\n473 70043\n28590 75496\n136 88625\n10182 24421\n68099 70680\n26141 79204\n64817 86299\n34530 98859\n22360 30012\n16044 87661\n16807 51066\n55709 84537\n27516 76001\n40822 53357\n10535 77497\n33780 80657\n33400 62577\n851 93334\n24816 53813\n14314 95007\n59867 81806\n45418 63593\n55099 93853\n39373 43157\n12184 76438\n31165 55328\n12942 81379\n29565 58220\n79680 92604\n368 4610\n1183 7380\n8226 46733\n16911 57089\n7695 12852\n21537 30085\n18040 70496\n45762 64289\n14329 93857\n4410 89130\n69643 96817\n55209 91485\n992 67578\n35457 51246\n10446 55292\n20445 72742\n22821 79000\n56771 59490\n25297 62403\n69931 93499\n16007 89955\n10077 42555\n37434 74646\n24554 59592\n16764 80934\n552 6949\n4367 29604\n34497 36575\n48752 75619\n34852 49584\n39150 97104\n20703 88864\n575 93676\n12075 47351\n76512 93394\n7573 32058\n39962 68897\n3214 39196\n86337 90010\n17579 65710\n44148 49935\n4714 9599\n18047 41169\n3011 74370\n40364 83570\n72816 79355\n24384 62296\n4019 54505\n32671 91040\n48689 74576\n27687 58503\n93968 94915\n24350 67319\n40708 77560\n33506 46820\n60230 85846\n48180 75059\n24008 86751\n56866 78691\n10791 58739\n37873 45280\n22300 88584\n25705 78791\n8239 30523\n73702 84852\n1752 25994\n9808 31028\n94463 98042\n11332 85942\n45221 76083\n17160 79787\n37065 42440\n12780 96828\n89773 98826\n33376 88117\n14367 81223\n13157 45244\n844 70045\n39240 41578\n34291 49098\n47260 52082\n23471 55356\n26050 92065\n86406 99122\n15704 39159\n74217 94626\n8209 44012\n53529 76909\n89303 95277\n14545 72483\n21053 43365\n5434 81774\n10714 58450\n17714 58719\n39563 47338\n17544 51328\n825 14929\n22833 37713\n16559 71893\n38818 57946\n9145 35104\n16258 90969\n60267 70021\n8204 49990\n20229 64395\n27620 95885\n26603 80333\n36152 71937\n2810 85140\n26680 40344\n3916 39328\n15868 87365\n5417 45322\n75682 88423\n81895 85759\n54309 79768\n35906 72760\n22264 28234\n34816 40996\n57446 86788\n53080 74749\n13071 40469\n43468 57594\n30519 92321\n30404 37624\n74110 77865\n43419 64096\n46846 71512\n10405 76532\n37296 53525\n41598 44229\n62054 79518\n15134 79317\n68846 97832\n39956 59544\n23645 87716\n21962 61120\n26826 43369\n13073 47954\n28265 31467\n23148 25608\n84576 96898\n37955 38288\n16175 68251\n19360 20172\n27525 51510\n37462 64498\n64271 64786\n50033 93425\n16713 93888\n9297 53475\n17489 62877\n14963 43294\n63343 78706\n51559 63986\n48796 63603\n12899 58666\n53872 90394\n1796 46795\n6539 18082\n14000 81994\n53634 89264\n9877 53890\n555 89537\n21341 92679\n36173 97179\n14011 93048\n8569 72694\n57262 88090\n12972 29380\n62919 77288\n52643 78507\n32312 61143\n18008 65358\n8862 23064\n50559 80620\n7078 19719\n38513 47951\n43795 64307\n8960 73463\n54961 61402\n23463 75850\n12461 49606\n64997 70320\n55392 57778\n23357 43711\n38620 83258\n66913 82088\n60586 75427\n25686 82593\n37242 99965\n11401 53278\n28957 80724\n22838 26093\n23829 39802\n48855 74003\n15987 35509\n40998 73352\n3125 62071\n14652 82820\n34090 62033\n24922 97337\n4346 35274\n18362 61864\n73924 75582\n2719 80866\n30264 54878\n65831 87390\n22703 99288\n7579 47067\n2661 81310\n35668 90252\n44077 87317\n38369 63398\n10319 46675\n73661 84913\n43471 82501\n36840 82868\n85351 87357\n11552 37015\n31032 60282\n14798 88447\n8206 40289\n33253 68843\n52304 52513\n6149 43824\n7343 19210\n20286 73968\n60953 68621\n28222 34900\n31000 89430\n18948 59411\n37823 43095\n19025 77213\n28972 55300\n74644 77664\n8283 66215\n38232 82805\n15432 66431\n29644 30794\n49766 67225\n63971 85370\n9497 74900\n5786 11408\n11682 81669\n50839 52989\n37418 48839\n1150 19045\n74755 84552\n11487 66728\n72017 98692\n9677 76361\n22229 52722\n43265 81567\n11869 79230\n48767 93905\n30326 60339\n11989 48047\n7684 27843\n23340 99318\n6633 19105\n16769 42843\n55836 67083\n63241 70783\n30851 72571\n34809 52674\n49782 68377\n61361 75030\n9931 85157\n12761 76642\n8477 62636\n27005 59417\n77325 94874\n64554 67773\n37141 89020\n38858 88990\n57932 70350\n26288 78179\n14237 71884\n5849 84871\n52820 64388\n77611 99079\n52107 79780\n35839 55886\n25546 36700\n88611 96517\n22053 43204\n51463 63363\n91792 93180\n70330 87689\n25157 64723\n965 66000\n20231 51130\n25982 85651\n27117 84249\n14653 66040\n76693 89112\n31514 47210\n55731 91342\n27791 52845\n51176 86483\n57132 89139\n45082 95298\n5233 12060\n75457 95119\n13213 84635\n78806 85927\n79823 92997\n10426 39520\n36904 84341\n1949 61981\n19066 46744\n16941 48143\n58822 93474\n55366 69818\n37681 63869\n2498 88994\n24783 91013\n38381 76898\n16089 52559\n22589 70424\n36284 47897\n314 27260\n69603 72189\n50381 75201\n42914 82478\n50645 54190\n32037 63436\n4946 20806\n22241 48813\n5706 81888\n19582 78609\n72031 88198\n4966 68511\n21452 82542\n78199 82140\n23283 42263\n12475 69760\n70521 82593\n11842 32096\n47312 74736\n5499 24058\n8538 36443\n22837 31455\n4518 73974\n23676 59277\n51915 97008\n41094 96624\n39394 46055\n57865 84445\n56895 64374\n57600 97301\n7231 82165\n30064 69665\n82856 87873\n55452 60555\n18413 57041\n29132 35493\n33540 65605\n831 47038\n16751 18191\n19250 84473\n46753 65585\n59554 70738\n37138 41807\n2685 67217\n13274 30537\n20764 87273\n23499 28957\n86088 91792\n5482 51676\n16922 44520\n85059 99584\n15273 85345\n29244 46729\n23616 72137\n8816 69800\n94849 96875\n1506 19923\n38439 48565\n13771 42618\n90029 99914\n88029 89175\n24866 30552\n37726 62295\n31165 60175\n8924 99452\n39854 99299\n13877 97744\n7926 15683\n79693 98265\n21435 65999\n70262 83370\n35405 87024\n17875 71336\n7514 8056\n806 32603\n7189 29298\n78724 92256\n19516 83564\n77841 80858\n64512 96740\n62539 76336\n31773 83240\n46484 73171\n10541 34932\n1952 91606\n8321 56334\n12067 48551\n9228 23566\n52750 91316\n15889 80609\n43946 99575\n12962 44530\n10868 55812\n37424 81315\n53262 81102\n68243 73724\n6389 91362\n22478 88042\n36972 72903\n2350 23194\n9275 78513\n24691 51441\n14564 68600\n27116 42159\n9653 43238\n42290 59209\n69460 90903\n6322 66914\n9540 47412\n1633 85225\n30079 99068\n36542 50702\n45251 54802\n41964 48751\n2350 41222\n3946 35017\n15471 47957\n27086 32634\n27599 40563\n18107 81659\n24062 46837\n57486 77905\n46050 58622\n52858 55059\n1238 28286\n77152 98370\n41993 50661\n15471 55025\n6818 12952\n8097 59452\n38338 82797\n14090 80023\n45293 89073\n88301 96811\n54478 88001\n36330 43105\n17414 76778\n92525 99734\n4323 13988\n26737 54769\n38999 66574\n8410 93396\n39171 95782\n18150 62500\n31075 54539\n70672 72910\n40788 94057\n2420 60122\n59552 61633\n63491 84382\n12318 47989\n13742 31606\n33099 85959\n52967 93546\n36924 70754\n68734 97213\n58720 80948\n32863 45084\n55286 62219\n22163 79049\n50077 51628\n5280 84254\n4509 75018\n32608 48458\n69083 72257\n36278 38612\n35497 79460\n70090 96679\n25108 52829\n27120 34246\n1946 32534\n33378 88822\n26431 52876\n91699 99027\n50894 83350\n23675 80808\n22494 62909\n31933 55603\n13467 41626\n13387 70511\n20004 25180\n53614 83930\n19817 26114\n31345 77418\n50426 94829\n24014 55266\n52924 81844\n78891 82073\n72311 85776\n7734 45368\n64121 64701\n30552 37865\n2556 3909\n8496 78599\n54702 66344\n25802 98758\n11615 33990\n2198 19305\n48547 86763\n42592 98929\n20050 85497\n13093 66903\n5419 78140\n58409 77804\n63957 85972\n71327 93516\n67371 78169\n31902 63118\n7661 93240\n21977 96247\n5113 80798\n32637 58275\n6254 68494\n23510 94580\n25826 60560\n40597 46502\n4855 37876\n1849 37072\n21043 80437\n21030 93227\n17855 34291\n64152 78140\n32485 84854\n29325 79261\n24333 47240\n58457 96265\n44744 66953\n16319 39297\n16882 52388\n12606 22818\n8872 12049\n9850 84124\n34721 40667\n52116 94418\n19753 57331\n29300 81156\n54556 77981\n53434 97402\n30845 58614\n9336 14740\n7943 48584\n12714 41599\n24841 54419\n7975 33258\n2989 66640\n48672 71100\n14069 86423\n59064 81166\n94778 95418\n8403 41703\n18657 89878\n62133 62533\n3723 45654\n22679 99321\n35372 80371\n62023 73107\n11117 61294\n22996 94130\n17294 37242\n49612 68415\n19514 39874\n57039 66000\n569 94540\n18567 99938\n38026 53977\n16484 50817\n32862 70154\n36669 80204\n27708 97798\n16469 97350\n7604 77971\n35765 71221\n12945 81385\n57161 67288\n71784 81884\n37234 41888\n34119 60571\n21335 70556\n38562 93070\n3684 50325\n367 43593\n61331 66584\n67799 97327\n17161 80683\n25787 76455\n14426 70252\n39175 41854\n2878 84578\n13386 90271\n38454 59748\n51203 70688\n42878 46461\n10950 19010\n8538 29914\n15273 79087\n36653 95196\n16258 45258\n36186 89713\n46006 90577\n28288 43334\n58255 81765\n53654 92424\n65993 96004\n41373 85709\n33418 66723\n53451 90552\n75502 90788\n68548 98935\n39070 62364\n1236 98323\n71560 91472\n753 3048\n76844 91466\n34486 93830\n77972 96825\n13076 48328\n18982 47379\n37854 56580\n42236 62365\n70454 84691\n64356 76631\n64786 80690\n65201 69361\n23486 95649\n96782 97846\n62967 70944\n44550 48389\n45315 81540\n19639 24474\n35581 92059\n80022 91475\n26925 78063\n45942 92185\n26163 38043\n54608 69186\n41325 57719\n2007 17536\n36703 39474\n41227 78329\n21781 95667\n13831 19080\n54892 96072\n25926 62877\n24739 62307\n13353 39306\n69067 83199\n88090 93299\n93618 99055\n72258 89628\n6946 58545\n4487 72037\n28018 72610\n21131 37086\n58672 75983\n26686 59122\n18861 19830\n3008 46322\n52985 95671\n6952 72987\n17940 53869\n31798 40263\n7434 63921\n8230 64818\n6923 89567\n14076 63129\n61013 87978\n30309 83669\n53543 87539\n21209 87186\n51523 51867\n37796 83212\n54415 59828\n47323 56655\n46314 90170\n25198 63832\n70313 76549\n26448 60262\n46389 99369\n4510 16854\n26322 84640\n6685 32173\n68252 91426\n74417 98712\n35422 58715\n25161 78695\n20303 86137\n52115 77722\n23122 54776\n12734 71186\n88278 98784\n28241 54457\n30639 72439\n2866 45179\n19756 42765\n73161 82477\n60785 98564\n25727 38629\n16892 78833\n35414 93782\n7728 92092\n30811 45630\n40608 66510\n58262 62660\n55635 59008\n28499 48912\n46901 64088\n2474 42924\n12473 90636\n15602 36628\n47423 75497\n25950 82400\n20984 80071\n302 65615\n2527 23339\n1467 45641\n23878 45149\n12703 27661\n87665 93565\n25682 70111\n30923 92818\n23099 24496\n3797 64442\n32900 71376\n77119 89318\n72222 91952\n47615 91752\n33999 88362\n62959 71529\n2397 23055\n36909 48045\n57390 66451\n25301 67521\n50703 60833\n34859 50970\n43971 67919\n14623 49401\n37484 93560\n67512 85497\n46173 65452\n62325 79981\n12550 70024\n65804 66336\n14741 64306\n93347 96467\n46640 89275\n11703 97895\n25853 49264\n39678 57867\n58014 60935\n21776 43299\n68464 82395\n66402 82498\n61494 91269\n16624 99524\n13164 47773\n7165 40043\n47425 62408\n47541 75895\n55602 60922\n56533 79348\n35664 43180\n5570 97827\n12880 46202\n41405 64644\n8490 37916\n14912 50596\n47070 98389\n33798 59860\n36466 88576\n97077 97197\n28179 57952\n40164 64204\n13863 59923\n29960 76204\n11730 47637\n13818 66778\n42100 92390\n67201 75998\n41556 49183\n37360 75350\n22073 89584\n34841 68683\n65649 88986\n14020 37584\n17391 37114\n7719 89878\n22044 67489\n14887 18773\n50318 95042\n37771 97195\n23623 48391\n78069 91533\n5596 30347\n26636 76807\n16951 75850\n4329 73345\n37114 96669\n21032 59582\n2426 26430\n82165 85548\n40436 77851\n62703 77162\n57143 70268\n19902 90619\n23107 84622\n37188 79349\n31115 79647\n46627 67079\n27964 89943\n7559 39043\n41224 65880\n86599 87728\n11241 18904\n1706 59190\n56613 73318\n29636 41460\n10324 24698\n14801 50784\n13451 55879\n50133 73992\n19409 67234\n78424 90217\n46267 95983\n21832 83020\n89601 98648\n656 50536\n6697 61523\n38996 73285\n17893 35357\n37810 59456\n12415 64745\n96545 98508\n12093 40143\n65043 89929\n3959 30616\n33853 82850\n30795 89012\n4995 11188\n62531 74773\n21141 97044\n39482 92411\n55562 89592\n32211 99581\n32272 68424\n8343 18072\n60337 73210\n1730 22990\n69584 70939\n2240 33961\n85677 87096\n5782 63992\n19413 48354\n26509 91216\n33764 92783\n70623 84737\n29278 40311\n20374 71361\n31988 39051\n55999 74329\n47199 95836\n15278 15330\n52720 87650\n37385 81910\n16466 21370\n8613 22475\n1430 20938\n7814 9167\n30867 84039\n50588 69985\n71471 87219\n39581 75851\n27615 36977\n39361 89033\n16202 26859\n62211 78257\n26709 72062\n17068 17674\n78539 80933\n2334 22218\n34135 64222\n13972 61355\n508 9075\n24096 97198\n16213 55134\n41029 67151\n8765 21735\n25517 85951\n22248 86877\n76778 94649\n53989 78100\n29565 49818\n39782 66204\n29593 30958\n18933 42272\n31434 66695\n14118 84834\n19352 42395\n98690 98951\n63960 70839\n84052 86923\n63632 94754\n11834 89833\n9732 78573\n54185 64391\n40633 80694\n14959 17738\n17875 87366\n57409 92348\n63839 82558\n35364 68807\n41740 92365\n7095 78599\n62907 72088\n5331 54946\n22309 59368\n15408 55355\n63105 63943\n42416 79973\n12566 94662\n17051 30479\n19297 22431\n15709 63857\n26603 99568\n70916 82244\n51125 96104\n12455 96430\n75568 81166\n47021 98821\n61569 71714\n70685 74846\n676 47390\n59613 62154\n19412 47046\n6539 67351\n40356 45714\n69067 80970\n18556 58421\n17515 49543\n61013 89149\n32736 48561\n31352 75034\n20861 42006\n13604 33611\n23020 33984\n53596 92730\n14662 94002\n65705 89309\n61755 97368\n26370 37342\n42501 54533\n6920 92227\n14354 47860\n85464 93539\n15603 65756\n23909 42649\n42372 58763\n53409 77975\n63093 93193\n43355 56065\n26091 83542\n45451 69682\n66782 95633\n18434 57162\n21862 22798\n32729 37354\n54147 89628\n67846 70264\n54131 85081\n82673 88821\n27416 34573\n44484 58417\n50404 74991\n52620 85476\n44420 56748\n27462 81150\n38893 56202\n5155 16256\n24348 87710\n28442 47279\n38451 69900\n66806 91317\n16277 74780\n32881 75184\n8847 56789\n48842 62138\n41536 91599\n59117 65971\n7149 38873\n716 97455\n35235 35665\n18265 79749\n6820 75011\n94995 98567\n20613 69073\n42429 46174\n14538 83860\n79684 97863\n15090 18417\n56684 57061\n8712 72024\n59884 89059\n3193 6972\n13283 13310\n31714 73228\n2101 72770\n32441 44384\n18308 64779\n4490 52761\n79786 97106\n8661 37421\n86799 99247\n36245 77319\n24599 67682\n3647 70580\n5437 55011\n10490 21130\n50968 63113\n18460 69576\n21450 30572\n70732 77140\n2685 79266\n26338 44446\n75955 91005\n80765 91490\n24635 46498\n37117 72348\n15478 27164\n21053 85876\n19468 94555\n68153 78118\n9584 53178\n9720 34190\n2775 60719\n3424 26075\n14991 66408\n67557 95202\n53234 64108\n11475 12719\n32422 99990\n42483 42506\n71762 93906\n12020 85172\n35297 48820\n8 26705\n46265 83461\n64747 88066\n29684 38238\n63316 83187\n4298 38972\n2575 98765\n47238 59221\n53249 74951\n62005 71273\n67845 96256\n49126 62081\n43468 66714\n42635 69274\n16512 81725\n59851 72778\n12467 50675\n79069 84943\n34186 99415\n78618 91888\n67306 85475\n5424 65280\n15283 64078\n35980 50882\n85034 89015\n66802 66857\n5423 89958\n13573 74342\n2890 44394\n33662 75525\n24595 84064\n51021 57184\n33817 80033\n4736 17795\n62105 71409\n3587 12402\n10546 15728\n63644 66577\n6094 57610\n2924 22903\n19179 27652\n823 68253\n58908 78336\n31942 68716\n68866 97238\n78110 89719\n40502 83442\n55732 73825\n57676 70825\n21502 96825\n8682 56934\n31195 70396\n88326 99760\n30758 51698\n3216 91238\n10460 88222\n77495 94516\n9245 62607\n27153 43334\n22622 74147\n74695 77352\n13562 49756\n87113 95111\n53000 95243\n4333 70699\n9632 26702\n38776 41333\n42692 92347\n25431 97899\n11708 72348\n29603 82937\n32080 75544\n78096 82242\n59224 74127\n58269 80240\n50333 86100\n26668 78333\n11728 84403\n62093 92578\n52017 98664\n53865 90568\n34853 89886\n19740 86250\n52873 68676\n40341 74896\n15271 48242\n36799 94735\n43333 84898\n46943 86635\n17533 32385\n23091 86843\n46105 50518\n52229 64258\n51416 65663\n25946 46821\n80650 88747\n58708 88258\n26084 83485\n9783 58876\n29971 67685\n23029 25391\n41554 58947\n72462 78848\n63142 87824\n27845 45891\n44208 90957\n26802 32522\n86970 99272\n10963 70508\n47877 58258\n57694 98394\n6521 92366\n63514 69358\n21952 43579\n37425 99059\n36907 54209\n30682 65928\n53546 94101\n2237 42628\n8041 56137\n10477 49205\n12873 35888\n69020 72146\n23513 57434\n37273 92984\n24852 62393\n97638 99027\n79224 88405\n67825 78369\n45002 74015\n7910 24738\n13730 15715\n52827 59097\n27002 74596\n24853 82696\n21614 98528\n67545 81044\n24779 97736\n30049 46535\n29137 80732\n6069 99328\n33721 88306\n51279 67304\n12037 86127\n70067 72534\n39640 67938\n3278 57286\n33714 68701\n2245 61397\n43241 96102\n60597 69042\n63696 97267\n2347 63217\n5580 64741\n44655 73412\n55206 67160\n20082 44649\n28265 93889\n44836 71388\n14093 86781\n5323 44887\n13496 65595\n66985 88648\n53592 88375\n72845 93245\n11934 77626\n9284 58356\n46196 77835\n88773 99961\n1675 94267\n18185 29291\n41970 70814\n34861 65073\n7102 73954\n33749 36782\n43947 59338\n19905 99896\n31414 35524\n36880 72937\n77434 95859\n35858 83748\n17871 74622\n34990 79148\n52465 85557\n24927 64476\n19871 34116\n6991 82303\n5455 22907\n6144 85770\n29620 80666\n19626 69086\n20183 88607\n38082 56280\n59759 72019\n31597 48634\n15396 56433\n53617 87180\n46013 62501\n46527 98143\n25830 50615\n54394 92549\n86363 97642\n50553 95347\n56541 68023\n82978 96397\n1946 67098\n4118 21291\n13520 30367\n76745 83952\n8770 41141\n56660 74291\n42537 88087\n35264 44554\n9832 63485\n56098 95728\n2371 6847\n39036 99558\n11417 82261\n40315 43270\n37774 93181\n15802 82956\n16986 74780\n54287 80932\n18607 33203\n74957 99952\n13702 24240\n67717 86853\n40062 92443\n25242 95177\n56314 95426\n44532 51477\n29317 63942\n27077 41377\n20984 33114\n44151 63302\n57601 86251\n67069 91031\n63832 72419\n2602 26247\n81949 86714\n23588 70351\n19676 51254\n2575 91041\n56275 68336\n71799 93806\n15159 53147\n37252 93095\n7589 63672\n56433 63627\n22105 49016\n9562 75952\n40845 92045\n1403 85684\n57523 80152\n50111 66613\n45594 65193\n59618 79842\n40357 61466\n2152 61984\n32807 43844\n67641 79879\n45959 59883\n55721 69429\n59689 95333\n12860 42794\n15915 94247\n16088 91362\n21065 63304\n4939 26995\n49019 91543\n38982 53297\n19752 83758\n23362 75496\n7490 16545\n9093 20965\n12472 66859\n42597 86984\n19307 96997\n23401 43644\n42000 72619\n22673 63877\n6053 73472\n11918 99266\n28909 31275\n50194 81083\n11400 80311\n12013 75522\n25971 53855\n14668 88855\n61682 66511\n7120 22190\n6539 85650\n7315 70862\n29454 50577\n14878 17632\n17291 28947\n73421 90218\n1319 84033\n8276 71603\n17273 31764\n50574 67789\n57346 66711\n13746 33766\n39476 91267\n7279 90766\n24775 86805\n1372 75902\n39228 42577\n89590 98875\n16208 51155\n252 12962\n28324 42065\n16826 34324\n47321 71438\n31219 74972\n24173 46259\n4517 21686\n1440 17125\n1080 20451\n30684 43701\n24441 76067\n15433 26420\n41898 78691\n10604 81827\n6025 76345\n4754 69948\n65503 79346\n61025 93215\n18973 57290\n6568 97543\n93169 93530\n1823 38944\n41646 52965\n28421 47786\n36077 94094\n34233 43793\n25999 43440\n64995 94045\n16457 34804\n5309 8907\n45121 76060\n27122 82100\n40461 62404\n458 25126\n7482 46101\n18442 78440\n44621 95079\n21850 43076\n16679 22439\n1145 19612\n20883 56402\n23699 66039\n39288 71335\n29132 75131\n9548 83866\n76240 86657\n4011 32701\n14131 36677\n33896 59541\n27926 36274\n3585 82728\n52141 81606\n7271 27385\n59798 65934\n272 97148\n42400 84103\n30768 40392\n52037 96057\n53031 93325\n58289 89225\n31547 60595\n53055 65217\n24402 81660\n5641 76334\n84926 92011\n3109 70654\n11279 50404\n67158 75199\n74619 99287\n25018 63866\n24238 79552\n19487 19671\n9594 51596\n26131 48051\n18485 58699\n49416 63983\n38950 46461\n4839 67330\n28392 63735\n37025 90690\n39875 81678\n59403 86733\n37246 48828\n5009 5478\n40514 85541\n44972 96944\n23115 82331\n51498 76969\n59969 83327\n53009 83102\n18932 99235\n21114 27422\n21616 54033\n4546 55350\n415 11615\n15976 54950\n81024 85457\n3436 38105\n29352 39228\n27368 64942\n60363 62018\n85057 94606\n1314 88825\n28699 58005\n3572 83348\n74794 90911\n41372 41924\n59497 74001\n66140 99431\n3367 65702\n35188 92999\n40719 76305\n13058 62788\n33441 46035\n20184 60606\n32608 53763\n16226 54822\n40007 64347\n6984 40731\n23334 75725\n51901 90438\n6411 75466\n4297 68529\n23016 96624\n33956 85790\n35443 36705\n13060 25970\n34832 62400\n74206 90873\n13384 67975\n29969 49417\n20602 61205\n55770 84489\n55788 80261\n10056 48503\n54466 97704\n65598 77990\n4166 5364\n1099 24416\n14527 39536\n27963 75632\n1197 80102\n15424 46777\n35003 52409\n69554 76551\n2324 77447\n76956 84873\n29233 58267\n53286 75032\n2943 64906\n28753 80276\n94692 95488\n25322 94091\n22306 92135\n11746 25794\n8234 38600\n37318 97809\n52303 93689\n41009 55926\n32237 37328\n16162 78225\n13669 25955\n11165 83939\n44268 55958\n37828 59873\n19464 89458\n67860 96196\n6608 44559\n2626 90922\n40356 65197\n52188 99544\n35828 60535\n37362 58252\n18944 74372\n50048 83061\n37297 99405\n19624 20857\n3976 56598\n65524 78623\n49910 61157\n62760 97342\n33402 65431\n14731 73916\n39616 64748\n11457 80177\n28181 79307\n33847 48512\n24966 47214\n24446 32586\n3938 89917\n66885 94587\n13091 19120\n247 35585\n11456 40298\n66789 93053\n30198 74013\n36697 83699\n55058 68979\n72774 91319\n258 7880\n11787 69129\n5650 99014\n7101 34789\n32880 42826\n19825 56138\n31144 43235\n78787 83482\n38945 90181\n31559 52071\n80426 85603\n50228 62752\n75908 85299\n39183 41679\n6797 91415\n27704 79062\n237 30575\n38423 48244\n13988 29622\n8835 60961\n53588 98287\n45960 51781\n81641 82099\n23320 33514\n20739 65889\n9827 22011\n31065 51814\n1364 32939\n65986 91095\n3115 41580\n33965 95059\n90774 93798\n1625 64063\n70596 86420\n35330 56534\n23559 64873\n43200 44880\n18622 74718\n61887 66515\n43273 55577\n29579 81254\n30529 61729\n5724 19377\n30451 33079\n163 19782\n40969 91943\n73544 84693\n68497 81468\n11193 89480\n52454 87982\n55807 63646\n13089 35902\n48715 78757\n961 63102\n19505 86811\n62678 86190\n57943 95795\n41882 69397\n40580 47373\n19065 74901\n74059 78627\n21382 76867\n89140 94353\n84259 93784\n9726 94687\n721 74098\n4714 64538\n41974 52837\n29028 45479\n37682 94919\n51553 98811\n38855 78927\n53642 61440\n17448 61272\n3024 90857\n43084 92882\n57874 84782\n52725 87880\n64185 73244\n9354 24413\n20210 23696\n26348 38333\n28377 43265\n15944 69399\n25147 81966\n20365 21556\n5222 66212\n22110 44315\n19566 55379\n2792 83232\n4620 85906\n10038 35083\n33004 69065\n41716 81773\n4360 19824\n24529 65126\n12373 42395\n6973 32969\n122 67175\n29263 40028\n23510 91924\n23756 75913\n27791 97961\n26516 38554\n13504 36460\n41998 58446\n56888 60347\n30467 33564\n48844 56359\n34967 44493\n19513 33877\n8925 18009\n178 37634\n39893 40539\n31791 72262\n9841 81688\n11161 45965\n15322 71259\n6181 81119\n28249 69914\n38094 53076\n63474 88753\n16138 93147\n33823 54175\n72046 82692\n79861 94716\n19522 28591\n2130 84760\n71810 82107\n67044 93690\n23026 31644\n14859 62230\n47832 60680\n51959 60551\n10125 45451\n15235 35802\n48893 69936\n21772 70212\n21556 38227\n9249 77969\n10266 66287\n241 24170\n67835 73595\n63357 79791\n90047 90440\n15970 23054\n20887 21388\n13070 50150\n79658 91328\n55262 76412\n40415 90153\n57173 88138\n82746 89975\n21053 78849\n8756 34315\n15740 51241\n22701 95388\n33146 73672\n32180 96805\n31816 62415\n23670 24402\n37388 40672\n38432 43498\n45918 98215\n14809 59184\n74855 86962\n1194 40833\n35112 42048\n65120 96064\n18677 71545\n22572 68339\n25635 36516\n4818 28763\n26963 27707\n20619 60803\n15732 88991\n24224 38572\n7919 62009\n33866 93062\n11410 51050\n12375 15443\n31282 71800\n10283 82790\n18650 57452\n29591 75950\n58217 97620\n13136 44528\n18073 75770\n23745 34151\n35823 46275\n82835 96226\n50262 82488\n9839 24568\n6699 51972\n74287 91949\n60261 94007\n55477 99228\n64553 67848\n39653 99097\n22861 90873\n45064 72122\n16529 44429\n11562 95498\n64980 73798\n29533 59020\n84289 88485\n4854 93161\n40721 64626\n8249 59840\n20236 28555\n17178 45785\n47036 48799\n28235 75464\n59724 68139\n47 47043\n4595 64777\n53942 86410\n2332 15007\n33372 88205\n60402 65742\n79554 85099\n47998 89389\n66769 71747\n10979 19693\n27233 79245\n17895 40784\n24598 62423\n27892 92187\n8405 23130\n1727 77201\n50130 81551\n82253 99129\n2803 56743\n52369 74908\n6080 13257\n35397 46285\n20134 61660\n1686 90004\n39172 62751\n1545 53329\n45656 99121\n83877 85542\n26191 87926\n12749 77319\n9354 36867\n17988 27066\n31132 95486\n11415 93115\n22508 27662\n6093 30792\n10028 14720\n25716 73170\n20820 62462\n18119 33153\n21441 58263\n38341 76143\n21890 25024\n47183 91119\n13103 56011\n25306 90606\n49061 71240\n4157 24816\n18413 44754\n16888 50778\n63598 80909\n17819 34597\n53030 99952\n16046 95830\n17684 21969\n67408 89493\n85052 88339\n2357 55217\n21566 35154\n39275 43525\n26581 29461\n53 16326\n20527 26152\n23066 23368\n3239 42288\n44954 72566\n1093 63935\n37387 84401\n65294 71793\n43217 59779\n8110 55145\n48927 50142\n6929 82382\n38928 77328\n89145 98868\n63857 79248\n26169 47178\n43427 79760\n25234 44254\n860 73372\n10015 72834\n54731 98163\n68066 82683\n18189 73572\n12919 78852\n41168 41661\n33337 43365\n34265 36942\n23381 29631\n15853 99886\n22533 69601\n5458 50815\n15030 81317\n16576 44043\n31899 62084\n77254 85395\n28232 64822\n65681 82465\n34972 88861\n62923 75978\n32130 83333\n73686 82865\n15552 83817\n34955 37017\n63432 97651\n33553 97460\n1019 81265\n18422 28285\n21137 74800\n70452 72282\n68327 91639\n11085 69765\n319 21884\n74154 98887\n30791 88290\n37744 62225\n15649 94901\n5338 79064\n42155 81999\n57140 97511\n16374 33621\n35411 92058\n31786 41379\n83841 96347\n44707 83999\n80019 97110\n15251 94453\n8911 81976\n10884 62691\n29238 92826\n1032 46569\n43044 90258\n6720 66817\n15806 33131\n14466 54367\n69139 96606\n13330 56053\n36251 87609\n43915 48921\n35232 81736\n72102 99634\n9035 69586\n59556 78056\n9599 20901\n75 17679\n7922 67990\n6833 61485\n50509 64275\n3945 22956\n35734 52598\n8159 34949\n13536 74381\n8089 39401\n3785 40779\n2936 78472\n28038 35852\n51120 89479\n32708 96003\n55036 91820\n54652 91053\n21104 92081\n20214 87188\n37373 65249\n55328 86901\n3784 28874\n35162 77481\n8115 44021\n13706 99289\n7024 19686\n43706 76878\n10561 10789\n79383 95258\n20655 40110\n828 41891\n33138 69877\n5706 19127\n86129 98344\n35771 43952\n9126 64826\n2168 9045\n39023 98935\n69558 72651\n21400 48186\n68991 89149\n12495 49726\n56941 85123\n30643 58931\n44340 78272\n17748 52268\n758 4327\n48537 60125\n9063 58032\n59718 72592\n13752 46186\n14886 50888\n11120 56687\n33429 95935\n96649 97617\n2760 61975\n50025 56246\n68344 89121\n78168 78405\n55679 85689\n44178 76408\n6318 36369\n17618 67885\n26189 44155\n3270 59585\n31439 56829\n56194 65044\n85469 91567\n46284 58723\n47631 47633\n75674 95919\n38837 80161\n56698 61902\n12349 30700\n13934 86194\n73861 79975\n31727 47051\n17567 47854\n32182 35696\n4568 92858\n63502 96522\n28622 71060\n26330 98503\n31195 72082\n3665 92622\n23360 37277\n94634 97316\n37731 84650\n34108 47423\n76119 93495\n1407 68004\n46454 84123\n33435 81889\n26168 29266\n21293 23620\n84318 85348\n24939 49137\n69549 79399\n71222 82296\n30052 75102\n35138 51368\n7434 51955\n9298 35827\n20361 65636\n53687 91915\n44842 60912\n28483 32309\n2025 37489\n60158 67564\n5846 13553\n16956 84620\n12588 35034\n9135 86118\n89760 92181\n31153 55806\n68815 90841\n12726 72231\n43044 79951\n11954 57343\n42758 87579\n67316 93299\n39131 60212\n26111 93949\n75113 83257\n44050 62332\n33353 79394\n35314 50271\n20531 89504\n55889 82452\n40149 69467\n570 18137\n44117 70693\n22568 88402\n17889 19151\n45022 62038\n53248 95183\n2859 99417\n11161 78499\n28899 59116\n5764 46028\n33911 90241\n12008 98204\n21243 81874\n11084 95649\n30139 85209\n21965 97150\n2933 15223\n6380 13143\n30732 56961\n15913 60282\n27465 52717\n27884 99555\n39738 94340\n5272 9320\n30977 85602\n16299 53460\n60163 93329\n31010 75381\n42775 48634\n17072 17308\n24843 26902\n9870 62464\n63506 78924\n29778 43780\n69522 95634\n83912 85850\n31605 84370\n17045 32895\n50707 95828\n29207 89385\n1551 40953\n7040 48700\n2817 62453\n1878 45135\n48693 71976\n7548 23095\n67238 67692\n71890 97693\n58422 75222\n3244 23994\n70739 90195\n2387 35384\n79354 82644\n52301 79965\n33766 95307\n66941 83240\n18822 46781\n2791 88817\n45790 53559\n50846 61805\n76380 92829\n35785 84754\n30006 59269\n56613 77112\n92752 94004\n19568 67746\n72714 82790\n5043 78030\n54137 60431\n20285 75059\n38107 68624\n22614 32179\n30528 71931\n81452 92935\n29612 98825\n3646 87674\n4658 94201\n32299 65204\n53185 63643\n57815 98798\n52938 66936\n22300 65838\n51689 86598\n37962 65857\n54729 86281\n48962 71035\n38849 94263\n36917 79346\n47991 96605\n50535 85646\n48928 85292\n19488 68030\n64943 69480\n42539 86433\n17889 44046\n64453 84151\n16338 59846\n63602 64133\n83402 98888\n38610 97670\n50151 67704\n31375 74067\n34577 67664\n22144 80879\n11207 35779\n29232 74299\n14836 29561\n15171 75437\n77623 93946\n39255 59243\n1841 9437\n14334 74278\n69778 77858\n10334 89365\n41862 45531\n16937 28749\n43679 81328\n84752 91270\n10074 86911\n2208 3150\n29166 77649\n44528 78815\n45335 79865\n18747 26667\n78005 86308\n37412 73899\n26997 79148\n11436 49009\n55622 96131\n12282 34786\n22662 72507\n27667 77981\n55871 56220\n38685 47819\n39243 71312\n44935 68561\n24253 73920\n9872 62086\n24496 51116\n44139 82452\n73609 83977\n17835 92769\n31095 54621\n55634 80403\n84950 92595\n48292 51667\n28528 46814\n49065 79068\n42514 45745\n15013 49982\n22469 42033\n18657 82309\n29268 76170\n42761 76746\n10460 31383\n70697 97068\n42129 55372\n15471 34049\n82199 92625\n37147 93351\n3365 68168\n23048 78194\n25531 62959\n49287 96025\n4101 57568\n14132 30800\n32948 81087\n24742 74628\n18895 49531\n21526 88547\n6171 18339\n43882 68407\n5278 21285\n36515 69642\n10852 33887\n30123 69771\n56158 79988\n68584 85269\n35767 40299\n647 77640\n79693 97246\n88796 94070\n21162 63687\n57928 90827\n2563 4782\n9075 68731\n51593 68651\n31265 55268\n45347 91603\n21619 98900\n12562 71691\n16086 58202\n22504 54022\n35724 93737\n36420 48274\n59520 93030\n43412 77579\n38169 54538\n7129 11292\n23423 33616\n46126 52048\n15502 52232\n31647 91140\n10049 36458\n5637 54623\n7165 93530\n73847 82162\n7969 95083\n40654 67337\n46856 88267\n9259 58374\n32818 40284\n48847 68794\n49736 97854\n9034 17436\n6202 82030\n39768 85956\n73401 85743\n47492 75533\n15392 37370\n1625 78716\n66856 70719\n5952 67902\n45542 72804\n48290 75107\n29573 63458\n41498 53806\n50104 60929\n53420 89955\n43256 45812\n29443 89071\n26817 39494\n1046 53989\n35377 92141\n33613 68982\n27255 75162\n9063 29842\n75185 94940\n11597 97223\n30759 51711\n12330 63110\n79118 83492\n31095 36048\n7007 57326\n51653 68655\n24766 36444\n59545 95868\n43985 98722\n5606 58366\n12885 34734\n74343 91629\n3592 85548\n42404 54453\n17446 45025\n2205 31826\n52254 88744\n30530 63063\n16499 35752\n36615 90363\n62334 70373\n16411 31672\n43234 91091\n42893 97474\n57651 64041\n46709 84944\n50074 97734\n67910 95187\n26607 99334\n2921 14335\n71101 72479\n22397 57440\n15522 23230\n4124 11370\n12847 20378\n10985 45292\n29045 67350\n35971 80196\n58570 67149\n5221 48652\n39165 76247\n442 55276\n50682 97004\n41572 95827\n40770 93152\n94267 94935\n28312 79768\n22154 97462\n31210 70919\n47471 86272\n51412 78638\n45909 68430\n43339 53173\n50476 66078\n2217 84972\n6311 99532\n1078 21658\n53533 82592\n9230 95244\n55952 61920\n45808 67439\n9684 11598\n45171 98506\n21705 84740\n11891 81208\n44103 99097\n20657 84335\n44309 95899\n25411 90824\n26114 33086\n50643 95554\n33141 93042\n8699 25588\n47502 91569\n45268 46245\n41172 83053\n9695 39424\n11298 73933\n31711 95274\n73352 79605\n74560 85067\n1923 25138\n10594 28279\n44507 80857\n29606 38193\n3873 98334\n59636 91604\n41388 87156\n67856 76812\n52644 55921\n70139 96784\n15993 16245\n21904 98795\n70448 95724\n50812 86384\n21201 91054\n56986 83279\n3584 96595\n48921 89603\n36358 99147\n67287 76546\n40304 76822\n5341 31616\n44353 59423\n20102 89633\n49952 90907\n22259 51315\n11024 53659\n24321 37195\n29516 93179\n4581 69831\n34269 58255\n16137 84608\n31210 76504\n9107 69498\n17685 50941\n10851 95703\n57321 95374\n46258 97409\n47930 66403\n1508 19078\n73903 91407\n84573 97766\n46774 49397\n39672 72020\n12853 21339\n3583 73728\n24968 53902\n44256 70070\n19370 82827\n90540 99353\n63708 74444\n6924 13683\n24837 26978\n42969 46986\n12099 81236\n16306 40474\n41146 48110\n42428 58756\n44664 46899\n9252 68309\n79030 96687\n31961 32900\n38796 47496\n76223 99116\n118 4735\n11261 68672\n20010 85105\n85446 88508\n58870 62665\n43766 71567\n51321 98521\n45759 54959\n32531 76318\n16514 76550\n9625 74756\n52461 55075\n37613 84062\n374 39485\n4150 79444\n24753 38103\n22068 71595\n91350 99540\n4662 75222\n18576 51893\n3521 86778\n58296 84047\n23436 89588\n36120 95352\n29233 39047\n13402 35311\n68837 80688\n30855 60157\n19792 73270\n55894 87831\n53286 80398\n25289 72252\n43861 98097\n16022 84300\n20329 99844\n29895 88918\n17235 83727\n14934 63094\n79757 79993\n74533 78650\n15828 66006\n315 24269\n30819 40077\n24733 97532\n15271 58115\n42861 99418\n68361 82699\n9778 53999\n64468 97007\n39620 88727\n38409 51526\n87897 92990\n18579 87540\n37461 38977\n75016 99029\n39718 49168\n20585 62151\n3580 99676\n27018 85951\n20818 54263\n41746 96121\n8077 91262\n11853 23927\n49436 94843\n42233 83094\n446 2385\n14564 50148\n60595 82818\n68715 89654\n25568 95702\n34779 81993\n3137 32026\n18369 75201\n2035 16370\n8784 62506\n6035 78902\n54114 67551\n5918 61302\n39270 79703\n31350 91732\n18850 48453\n91797 95946\n30729 35874\n16510 78016\n2289 32144\n27995 55154\n34712 99440\n13449 63256\n21764 74268\n62128 64123\n15947 72375\n20924 61817\n58398 69325\n58905 65071\n6123 56635\n64260 82754\n94653 99969\n1438 48376\n36009 37496\n2438 69590\n81518 91468\n19620 58146\n32606 98449\n60501 90549\n36039 91198\n21763 24666\n25207 30777\n48327 49177\n9912 24697\n14766 83886\n34451 79221\n25402 63430\n39483 75266\n23951 56844\n81004 92726\n30404 40202\n8496 97859\n15164 27575\n18282 60523\n1005 45784\n13444 57171\n16822 70044\n49290 82991\n39575 98212\n11343 66666\n30989 91681\n22477 87161\n2521 80704\n49070 93138\n10703 97831\n23347 56578\n33500 37839\n8667 14871\n3892 20460\n4457 48935\n68659 85042\n373 68137\n14815 47343\n56086 75691\n11647 59653\n22424 95565\n13987 76177\n18191 82949\n64662 85050\n16458 45331\n5011 39152\n48625 75613\n6644 32566\n8398 46648\n27837 45230\n14153 86704\n82205 88502\n25249 38232\n48302 87516\n23828 90718\n5530 45453\n43921 98367\n45328 88154\n61768 79969\n41034 94901\n15797 37621\n28346 46811\n8243 62694\n31027 81271\n29778 62107\n90137 90729\n32638 76751\n1683 45314\n3239 38449\n6837 29178\n55970 77593\n4766 61033\n17023 39259\n43167 93610\n26587 34278\n45096 96860\n48728 71148\n58821 83190\n58636 97100\n58087 68513\n14695 86381\n40165 87732\n16608 70629\n34466 77029\n2361 68476\n52449 73532\n4229 40802\n46571 85563\n10509 23532\n18616 41164\n43643 80807\n25844 50010\n18042 29253\n37414 60757\n59494 75075\n22075 64471\n87314 95676\n28229 85029\n14616 37100\n14239 96220\n12266 52919\n57599 83890\n551 5135\n15600 56539\n8235 52546\n7933 90470\n81657 88742\n4604 23380\n41858 90351\n3573 4777\n7071 98627\n18651 82100\n36706 89696\n7567 88910\n80010 98259\n7699 55061\n31008 36320\n56219 87964\n15542 82460\n37035 61825\n7424 81970\n18289 67954\n26444 40354\n61039 86034\n89652 91830\n17125 18244\n37826 56987\n4090 81038\n30934 81084\n24488 32719\n57089 75769\n22559 76219\n37524 43961\n21497 58427\n6374 25535\n18435 45013\n68018 88697\n9200 35673\n26689 41515\n2483 66109\n2125 56387\n16414 91140\n26148 58392\n41090 55058\n46133 65947\n43562 73348\n43006 51250\n73072 86332\n20212 98674\n77305 92157\n4218 78936\n31503 79228\n35374 73771\n43917 53618\n50575 74335\n36791 71114\n77574 99996\n563 62903\n5770 28113\n65726 88723\n13785 38226\n19391 29469\n87396 90157\n17270 34406\n1422 50404\n16932 64256\n62365 68982\n9281 13162\n75707 99259\n19704 29278\n51566 53005\n23707 30005\n57571 64005\n11129 76836\n54544 55668\n70756 76936\n9241 19344\n66565 98443\n6159 91687\n90883 96678\n15398 89779\n43426 61593\n26983 33481\n70367 85031\n17179 22849\n56982 97822\n10672 91517\n3147 84152\n12293 93133\n17650 45220\n84439 96696\n7329 46054\n35792 77328\n44279 54574\n6928 32778\n8919 28902\n20158 55406\n88148 94532\n16813 83265\n1172 58733\n18791 88268\n27605 51921\n21603 52120\n22515 95025\n31140 77708\n7481 10923\n73810 88268\n23677 65121\n4394 64306\n38973 46831\n45368 47839\n42073 85910\n12725 24394\n19111 90814\n15150 30325\n81758 82300\n78721 87254\n35689 62368\n3677 42095\n5684 22948\n4384 79479\n59715 65473\n12342 83952\n25960 68760\n16169 44324\n7903 13946\n1923 72007\n6042 28386\n28532 47521\n69936 98249\n67096 67974\n1569 54642\n58972 96561\n20295 85284\n56370 81588\n66979 99147\n32474 38488\n48372 84251\n59130 76279\n18809 26323\n47251 66221\n28807 80471\n13717 67498\n11757 17176\n6509 51042\n28733 77229\n2815 90150\n1613 51218\n513 77830\n4749 47046\n20493 41174\n5452 76959\n37133 84596\n15068 46275\n22976 59526\n70342 76678\n54381 93613\n34785 61877\n10036 49777\n3632 43542\n55843 86493\n19418 21139\n34581 41718\n39932 52329\n43673 84430\n37298 96355\n5622 17510\n56421 77702\n11222 37303\n32689 66332\n26580 38720\n85392 87408\n10739 29986\n13647 69670\n15522 30145\n9152 65061\n39652 94639\n50035 53703\n14397 96613\n57209 74610\n31473 39486\n18562 84548\n59076 81888\n41068 76277\n37648 49269\n71390 89247\n1598 9300\n51782 67627\n47075 83914\n14846 69570\n11087 63738\n10517 69579\n19475 79321\n10852 47539\n44589 62662\n16207 46454\n59608 82017\n54398 84891\n10281 43862\n35008 87157\n50672 80449\n31346 79622\n984 2089\n8495 35482\n43437 79535\n41421 94191\n1431 13871\n21204 33137\n6314 58575\n11215 81651\n30368 81960\n9293 98114\n66141 68306\n15678 96517\n60112 67895\n64010 73970\n74803 78126\n1190 1532\n69296 88677\n25114 52233\n12628 43899\n55710 96123\n9006 71742\n315 45671\n35267 64033\n52827 97568\n35437 46160\n37299 41737\n13332 56118\n24309 41060\n35510 93696\n5828 93442\n13842 41931\n52488 75760\n50838 71911\n42881 58926\n6187 11147\n34275 82605\n23711 76552\n38500 69396\n62854 81113\n9919 96151\n19412 70722\n58989 85670\n44101 55761\n52717 89680\n67815 74343\n25906 39175\n16447 58062\n7260 94215\n37701 65419\n15073 17199\n58297 79139\n24290 84700\n27585 54072\n62680 70015\n56333 66838\n31045 98315\n50579 88486\n15499 89573\n41749 59974\n62926 97091\n34813 97786\n7109 71273\n50450 59103\n5245 68405\n30058 54486\n4369 22511\n42928 86842\n37814 64292\n22516 26456\n64142 82371\n2706 52607\n35781 76571\n39325 72019\n88352 88744\n17479 87651\n30268 96768\n16427 64516\n6893 15064\n48178 93462\n2565 21329\n17177 44579\n91783 99588\n43213 82819\n20296 77014\n75620 94021\n9253 28252\n3742 19433\n78977 99964\n16048 53439\n81669 98835\n15835 74716\n20490 31370\n14045 39463\n30342 56531\n75055 82541\n18650 95320\n39836 94595\n61251 78964\n39658 70909\n32563 66128\n86918 98899\n35530 96775\n72902 92966\n4488 69128\n46087 67305\n72471 84174\n31087 52359\n83142 84469\n5182 41325\n10254 92634\n13055 74676\n49309 55675\n15458 42443\n63873 82216\n3605 25798\n22944 43823\n66760 66831\n23294 54628\n38451 48950\n69958 90018\n52605 81795\n37704 53416\n16952 52063\n38507 54575\n1235 86838\n21068 83385\n1358 37737\n22153 59698\n8726 90237\n34412 62428\n30158 35450\n73824 83126\n5221 83520\n13122 42640\n66324 66464\n11525 55579\n23213 96751\n2089 3488\n3185 33726\n3032 75776\n16007 65387\n34175 80246\n47001 88587\n4834 70231\n27037 54667\n21973 76654\n88834 96475\n61973 92399\n218 76750\n14285 34263\n21911 41497\n887 33225\n57972 66918\n68062 81507\n39468 70791\n37929 58220\n1999 58353\n14388 49543\n79103 90399\n78238 79989\n60900 62231\n708 9257\n11358 27645\n30500 59836\n24442 93514\n65737 87284\n54957 88097\n62524 90612\n35093 49407\n23739 86775\n45141 73582\n16784 73130\n15676 90675\n33925 91049\n37106 68457\n32403 77629\n9497 74696\n79583 85947\n52975 70862\n31563 46492\n3874 85715\n35865 62438\n54510 68851\n84231 99957\n4962 61919\n34306 57406\n65617 99237\n1757 12882\n18283 48749\n11382 51099\n63886 79390\n78437 83205\n11084 89210\n28838 55982\n283 32347\n25273 88848\n2201 37170\n42378 77781\n71195 79405\n31305 37084\n40858 99717\n68305 97285\n47580 95946\n29036 50535\n19180 98276\n22707 59762\n14089 38909\n29730 33532\n11968 68690\n29460 46795\n29195 50687\n12528 72766\n11340 18403\n5281 27620\n17289 91881\n51640 75578\n33044 92077\n54106 82854\n52489 59157\n27435 57048\n31789 69075\n30394 87400\n18758 95387\n11272 96633\n63805 82723\n70084 74815\n30980 53820\n27329 42938\n42588 55361\n32216 74019\n9585 79599\n311 93675\n19601 88842\n8039 74998\n18125 83269\n3757 36248\n28655 86628\n6311 72173\n43761 68186\n24282 99728\n37031 40641\n64435 68061\n32740 35562\n21989 89219\n27727 86929\n57611 77990\n66129 89467\n41960 48162\n20427 98670\n64468 91120\n25832 94327\n8587 9974\n29408 48567\n5104 15341\n27981 45837\n7509 92580\n48833 99614\n44308 57920\n8289 71006\n5790 25848\n25005 95421\n67590 70510\n16368 38739\n9973 67178\n60010 88147\n15690 96082\n38975 78906\n7051 26371\n42981 68893\n73926 74262\n73775 92355\n60197 63135\n12778 38366\n9155 54590\n74825 84451\n40941 64550\n43712 66824\n59318 89050\n3091 71935\n38585 44889\n51833 99177\n74558 81085\n57380 90253\n18921 40834\n13028 45636\n73733 92880\n62177 69750\n38794 62540\n11237 22479\n68893 70766\n38965 65936\n38321 52237\n58736 73000\n31483 57323\n63927 67905\n29697 88916\n27446 82513\n72029 79239\n32454 63954\n24282 97892\n12938 41188\n16339 41523\n68790 97157\n16259 65339\n48534 72258\n539 52634\n38343 44351\n55804 61956\n3772 17204\n46811 94684\n1523 98105\n70311 87666\n15788 93264\n32310 72042\n32116 94546\n11820 95582\n24351 26042\n7329 38237\n67758 68017\n55785 80238\n29270 51691\n79854 83820\n18197 22722\n59514 67770\n75309 82142\n86862 88222\n42011 78820\n37743 42477\n55580 86109\n68935 89130\n7423 61467\n75907 84871\n81901 88815\n53348 81232\n19875 90617\n68536 76946\n57912 92659\n71719 76611\n47008 79502\n18475 97683\n17165 45321\n62258 90584\n57608 64166\n38291 95957\n17285 23054\n33430 78167\n8314 87165\n23194 85518\n51985 71957\n79931 87139\n25825 37578\n21554 66869\n9592 34372\n29850 63590\n29619 29677\n29249 60139\n15791 68629\n12530 95777\n461 15375\n1457 26407\n48618 71153\n84242 97161\n27043 40280\n6946 16112\n48837 82386\n4667 26829\n69132 76947\n25779 79807\n11716 91665\n65238 82665\n52248 64925\n1471 42347\n18257 75678\n71908 87940\n13945 94449\n36648 86334\n15659 89977\n7693 99661\n50888 96422\n58103 74488\n3362 32585\n959 66250\n23266 61568\n6593 45884\n18484 86411\n32726 43805\n66459 88382\n12719 47202\n71535 97237\n49526 64548\n42229 96016\n40804 73791\n24959 52439\n20901 31269\n46802 48958\n67423 83501\n30509 86840\n78736 95462\n10790 99309\n24215 89501\n38233 52139\n13141 42772\n61553 76088\n23955 97439\n19807 41746\n67207 77279\n43521 82339\n27426 62873\n27041 60309\n62182 62189\n10706 57972\n43786 49380\n71357 78196\n26997 49182\n58348 97515\n5336 38491\n323 97875\n80791 90586\n22458 70812\n25888 96241\n76563 83904\n56098 79355\n28961 92771\n92411 97396\n66831 97755\n27776 33893\n31778 99473\n1272 97698\n42683 82731\n37775 81642\n2991 14925\n30318 61389\n46220 91942\n33029 36392\n36983 40239\n30443 86140\n74325 78569\n73144 74552\n36687 68625\n10732 98902\n74320 92693\n66036 84167\n6292 90752\n24461 75298\n19679 80037\n63876 92126\n1124 21027\n16474 36067\n78908 99363\n56489 74604\n50314 85865\n68461 72980\n53786 67095\n74438 82226\n53936 65804\n45809 79569\n35044 73296\n3549 45505\n1031 33704\n17098 54425\n248 75729\n20995 89876\n57609 99206\n3412 88061\n28812 35231\n11822 93964\n15719 57390\n55696 67292\n25759 79130\n35381 50766\n30018 66771\n48726 50993\n42960 68270\n4118 64742\n25222 82789\n32114 37873\n20307 30565\n70292 75949\n22640 29043\n17487 80008\n61966 80922\n17548 91146\n25989 81009\n3195 43379\n39920 84917\n1884 70999\n10038 81305\n26449 97369\n59727 70898\n22440 86367\n38578 47468\n16332 50961\n18381 84967\n65602 98024\n44438 85295\n49185 82820\n67163 69697\n9577 49361\n3287 28918\n12646 50032\n69192 85470\n4396 96637\n24212 35796\n3039 37340\n6660 46544\n59199 80066\n20747 29833\n7868 57524\n43146 45289\n13912 34219\n58678 87316\n10599 78697\n34019 36145\n73453 92605\n87375 91576\n46653 65184\n68201 78553\n8229 21804\n9071 72415\n24922 71011\n4084 27833\n74655 88552\n30970 42581\n82196 99974\n25566 35756\n87955 90791\n29201 64996\n31267 35067\n2266 96086\n16953 89262\n40506 66865\n17388 95236\n16521 68898\n41701 53422\n22141 90004\n9025 96098\n29349 84413\n47385 66654\n47884 71528\n27392 80091\n18030 53585\n41515 96675\n17163 92446\n15179 50719\n51715 86486\n34024 80458\n32150 97251\n24400 88731\n26177 33567\n2385 88058\n19192 62976\n63159 94479\n27102 52693\n19579 40567\n17353 30130\n2437 92751\n60904 97730\n20260 24827\n31082 32548\n19303 89300\n39350 49626\n49716 72619\n34921 82340\n3746 88931\n26099 87815\n52981 67474\n13638 94235\n44332 45854\n10140 35360\n74828 79118\n21802 60675\n76704 98911\n3609 71970\n67341 94746\n29131 52858\n9702 99704\n68884 87890\n3066 19945\n15206 69468\n33491 78705\n86999 93720\n71205 73251\n55129 62467\n14299 98668\n11327 32025\n18691 85884\n23254 26979\n32940 67027\n26886 94661\n24282 94112\n48232 49955\n552 8344\n68214 76744\n27751 56445\n2990 32731\n39042 96304\n21733 82422\n9743 42323\n19947 90741\n35601 82873\n14415 84208\n31508 40408\n11076 77809\n7699 23890\n42112 79049\n50433 86749\n20530 30956\n93612 97748\n35517 99526\n83453 84644\n29311 64954\n6427 57281\n28910 46549\n52030 80464\n64407 65663\n23253 60855\n32232 78039\n1414 21131\n75109 83542\n24065 93034\n3596 19273\n41404 95565\n39289 66457\n35681 71177\n82569 89108\n52576 80282\n44373 73517\n3967 91083\n25486 74252\n15783 23164\n3557 47710\n11163 93708\n35563 87243\n22274 77008\n12971 67648\n32247 83163\n28089 56697\n28233 75618\n12275 52817\n5169 63863\n65780 95367\n61267 84801\n35516 68779\n47464 60803\n71220 93541\n1716 8268\n33617 87865\n35591 88185\n15636 73832\n6679 85438\n49411 91203\n25660 64892\n28601 42671\n37189 96463\n11586 45170\n6784 72600\n43806 65999\n15218 32397\n74041 86859\n70764 75259\n22270 93492\n17749 44722\n10935 36489\n37828 84169\n40852 56684\n43425 87261\n68223 88410\n10851 96387\n12191 47603\n93738 94587\n70503 92994\n27879 32378\n6332 47348\n13352 59030\n36368 95998\n38499 74413\n10044 32764\n5593 62797\n9278 56441\n9032 56791\n22127 65233\n46178 70340\n13643 14492\n20171 53123\n27150 41341\n44276 71026\n33851 50818\n81480 99331\n24270 57544\n20655 89342\n88037 97590\n79959 92635\n46671 52470\n60602 67899\n72727 81333\n7145 42290\n12150 23937\n31419 67592\n38546 41062\n49681 62624\n64355 93144\n35827 51112\n41322 87152\n69410 78582\n61831 74174\n25518 66868\n27611 68792\n14800 63340\n94906 97420\n15754 23348\n32668 60211\n40315 67626\n18958 94995\n15011 99191\n52121 63105\n28890 83902\n63844 77884\n99505 99573\n25400 37135\n46280 94105\n30270 68015\n48877 51488\n16773 59569\n4069 25613\n5641 35934\n27368 70666\n55040 74612\n16042 70972\n1433 47769\n63969 75526\n65731 72400\n63238 69831\n73967 84927\n9278 65277\n44173 72588\n31524 72905\n305 63323\n71949 76729\n39214 81033\n10036 60376\n59341 76004\n48352 69865\n18259 71760\n58857 60891\n64776 66485\n86702 90150\n16166 63061\n7001 14975\n35841 83986\n30725 30748\n19713 29103\n56854 57867\n52092 73462\n71779 84611\n38251 65257\n60086 77280\n26843 63440\n67035 90084\n9184 87098\n66185 97499\n59647 85398\n16088 99431\n73335 87378\n48759 72064\n30489 53041\n2849 59176\n39294 54336\n8310 74784\n19609 72766\n72994 83988\n9099 43776\n65167 67528\n30560 32389\n70241 92201\n37685 70489\n25088 51437\n11957 23200\n18172 89259\n41337 47281\n7726 70978\n10805 33986\n32121 51853\n5927 53160\n25533 59686\n75749 86581\n4796 75404\n29217 97615\n11336 57773\n12248 32265\n13393 28024\n22579 75255\n32270 90755\n39918 74470\n66518 76984\n32072 63690\n44569 82965\n22746 76117\n11898 50702\n56658 78637\n57735 93095\n63120 97403\n17440 79837\n68639 91465\n22154 75258\n64818 77387\n7385 80465\n82006 88062\n9035 85397\n21066 96806\n52961 87636\n6292 94157\n3310 12245\n19170 43070\n18634 53195\n30546 78373\n4595 31798\n13630 28423\n9547 96413\n60281 68463\n84496 95289\n9710 52766\n18531 73870\n63774 80251\n45312 68869\n85153 89947\n18506 41987\n32260 75589\n10090 20954\n1576 19245\n69278 74912\n36316 62375\n2820 89696\n83418 84861\n4348 65271\n73839 98462\n27330 53657\n73101 92354\n62308 64418\n36622 96001\n7219 39039\n39318 66871\n2334 35865\n74936 98441\n54400 63353\n7629 22130\n8040 76581\n12690 79153\n30559 95947\n57705 68583\n61944 66579\n42875 51641\n14673 28175\n16248 39873\n79847 83368\n60846 63860\n16966 97303\n91167 92703\n41567 47759\n48135 60690\n34311 79770\n36879 50693\n770 46517\n11231 53349\n91711 97369\n34733 73888\n55903 70753\n23010 84674\n18989 55652\n54728 83594\n36535 52415\n71519 87209\n59593 62577\n11072 64769\n23429 80496\n42004 93301\n58283 97236\n1245 31914\n10053 74974\n34126 62041\n4893 82515\n21070 88656\n45362 57578\n39031 73397\n12222 13145\n62246 93647\n39108 68980\n42287 67826\n14003 60560\n35524 89752\n69825 85336\n9211 41757\n27752 65824\n48555 74201\n41316 68379\n66403 81354\n48715 91229\n53844 94444\n43966 78059\n28138 34370\n8060 68153\n11576 42824\n13185 22436\n5067 44870\n36742 89876\n50367 93206\n31140 61410\n13414 60758\n8644 43163\n10889 88744\n49280 50348\n26782 66384\n8511 16234\n30862 77524\n59036 96479\n46111 67875\n66241 92175\n8105 45792\n1697 58673\n15373 46435\n60307 76997\n46992 97844\n17199 49937\n22620 31431\n1103 81361\n48782 59585\n44090 81751\n73436 90927\n51650 83232\n16045 67638\n62021 82352\n40022 90729\n14631 74435\n16655 62356\n27858 98872\n11353 74686\n17025 80633\n65126 92758\n16892 21320\n7449 27948\n51687 79512\n7046 80876\n6144 26353\n7616 56760\n26515 60202\n30160 94043\n42913 73189\n5088 87734\n4253 46620\n79397 85279\n31738 54319\n14616 21495\n29590 71440\n56309 68622\n11521 94634\n29552 94663\n4925 51972\n23744 46696\n69783 98903\n27822 91540\n29229 67042\n44009 78496\n59321 88536\n36538 63838\n37657 65471\n9562 56033\n8297 64442\n71050 96018\n55405 78720\n24487 87911\n8321 98568\n15581 78876\n22338 78602\n18124 37736\n53682 74295\n46435 64213\n21667 53829\n43448 48057\n16141 63362\n11615 41732\n15614 87612\n18108 44950\n49291 86353\n7583 35018\n42553 61513\n4841 31180\n5907 72474\n9766 68579\n5562 17426\n82680 89417\n13699 36871\n20550 56705\n41139 45202\n31195 84164\n10910 59890\n63074 89341\n18054 39069\n86474 88965\n8811 48568\n53371 64637\n16311 80096\n62434 79100\n32459 73973\n269 67912\n3116 62552\n47662 90665\n82512 96906\n64448 96747\n8008 41214\n55230 97711\n3893 79544\n1248 82650\n17680 36616\n19430 75505\n79905 92307\n28033 35892\n47407 55897\n8995 78104\n32242 82512\n4745 25937\n53720 57876\n42587 64899\n48966 66036\n60378 97247\n51771 54321\n13871 71856\n59972 68387\n22367 60844\n28129 65995\n94261 96337\n53008 71762\n28862 98863\n59107 82994\n32192 42712\n57023 99739\n41402 62176\n31541 32648\n33143 89258\n26155 56541\n39815 96119\n22741 25081\n16797 21872\n20281 81746\n31131 37517\n10870 89597\n28670 60560\n18751 67432\n35049 66310\n34279 55349\n15788 91418\n14390 19123\n56125 98226\n38869 99762\n10752 64540\n34315 64554\n74133 95180\n14550 86054\n1176 87772\n10885 41371\n76212 87991\n65734 82065\n64658 86379\n89039 95577\n23421 71961\n64089 87485\n43207 60868\n48682 96623\n13192 83018\n52659 59408\n10993 21365\n42703 85385\n58583 86334\n84822 90085\n25855 81471\n72782 99412\n26327 32742\n28249 91458\n10352 91708\n20376 56651\n4192 82888\n16239 73990\n32011 99680\n48371 49031\n63000 97866\n25010 41322\n2791 20776\n63449 95431\n40568 52129\n22809 86316\n2113 92598\n66092 78742\n79574 81254\n16582 50986\n32809 37008\n11516 28773\n74005 96693\n23895 49347\n61578 87619\n21507 57197\n14088 42554\n47921 56740\n21792 48608\n22055 99068\n57385 85963\n44623 93798\n34284 87024\n32481 99154\n57158 62069\n6997 97430\n15861 18818\n36232 40979\n18575 29716\n34201 95379\n70009 89903\n22372 53080\n2423 34343\n45669 59865\n2365 22527\n58931 65984\n11118 78925\n1821 50131\n14926 98945\n463 7628\n14372 74595\n20311 99075\n25794 39733\n48129 96390\n7014 39977\n47120 54637\n71351 88672\n3890 77564\n10714 50996\n5224 9137\n70986 73963\n24248 51858\n39246 62279\n52136 81972\n23764 97473\n44542 90239\n65124 91082\n24373 45875\n23540 30576\n37832 54968\n18539 55934\n1293 75675\n7870 87831\n25988 43311\n57163 67054\n10697 44977\n59874 97476\n46356 69262\n52662 55844\n985 21369\n23313 81058\n29877 73055\n43906 58478\n72322 92625\n60676 92708\n24592 38830\n8349 83140\n49626 60849\n40359 83147\n83570 89872\n6427 42174\n11901 92037\n26081 70189\n65307 93647\n44987 71789\n7274 47849\n54760 80833\n76664 96127\n14179 29931\n22182 60645\n1268 14387\n5222 50148\n33145 39011\n15008 34015\n47729 97915\n92841 96386\n21496 70505\n26145 32957\n82239 99215\n13136 58144\n47718 62610\n58693 82615\n12886 94008\n14021 43200\n77689 81175\n11398 30636\n7645 38324\n7477 57191\n39451 92711\n36690 56294\n38940 58022\n24192 37528\n33623 87180\n39443 98367\n71773 96712\n52635 87187\n18378 96043\n76168 90724\n34897 53724\n54409 60872\n60630 78485\n84371 95284\n28332 49792\n2883 67484\n19979 95187\n48513 93233\n17003 90324\n51289 59185\n23040 99677\n1669 46354\n43155 97244\n69521 92012\n47814 71154\n14573 77153\n42907 79479\n15689 88590\n31383 42029\n25908 44483\n23109 56567\n61866 84645\n3659 82003\n19989 38093\n16534 65720\n6784 34699\n28781 75822\n30697 52670\n44281 61080\n22861 33899\n52500 89076\n13302 57781\n33827 52097\n12546 80753\n17301 96675\n22749 81734\n24462 79671\n11348 48512\n52304 77865\n13757 16052\n26231 42917\n52139 89464\n26611 70619\n56243 85029\n14575 18904\n15918 26702\n16971 47407\n60498 70099\n493 85472\n36038 70976\n1155 2680\n44482 55415\n37369 72593\n43099 81275\n65085 84377\n44791 86461\n5986 18138\n29857 85896\n10535 76460\n2168 73234\n39373 71151\n8396 76640\n91615 99177\n80627 96093\n23406 81639\n15932 28550\n26555 29100\n70061 71872\n27251 70942\n33038 36300\n57576 75863\n36398 68130\n47048 87324\n8759 66281\n50127 73766\n12828 16569\n28189 42867\n28499 83110\n56417 56947\n78452 96307\n19695 64955\n44535 66685\n20447 69480\n88093 89906\n38618 38706\n17873 73945\n1768 19343\n11091 28990\n22123 95066\n5654 89092\n35987 41860\n43344 57764\n52342 87369\n61572 66755\n62647 73249\n24452 58954\n15495 61484\n1485 20804\n1524 55275\n37867 89732\n72057 97548\n46025 66064\n26674 31382\n28981 99756\n46555 63504\n49484 82464\n19505 43318\n54368 95819\n52657 69640\n23702 57373\n70233 89064\n66406 76964\n29469 31326\n5926 41576\n19620 63400\n27717 33064\n20726 70954\n37616 71353\n12009 29808\n17599 35864\n78054 87650\n38356 65576\n94844 96493\n41387 98663\n53958 62547\n6855 84451\n46428 88887\n37023 87137\n47744 82815\n20538 34473\n25751 78547\n22451 50294\n34965 65051\n15103 92282\n71808 82787\n73002 73737\n59755 84053\n66696 68333\n23776 51514\n7693 20301\n21920 57383\n573 28764\n78523 79299\n15193 72181\n2606 45120\n47336 62827\n1150 22051\n38735 85775\n14070 43386\n36708 59031\n6448 83434\n15670 67810\n77577 91290\n18712 91566\n48351 96659\n11211 16087\n3902 70955\n1054 86696\n66520 79059\n31154 67202\n326 52674\n17932 25775\n16209 17929\n23372 58538\n32395 69765\n75640 96693\n8392 19845\n16791 67061\n1847 49201\n44569 48752\n46015 54897\n16173 78900\n80417 95465\n15255 47915\n47024 90921\n13550 62899\n54179 96142\n32712 88035\n6911 68457\n25088 75717\n22417 93457\n33303 39315\n25105 69991\n26101 81090\n27686 41538\n10079 96015\n42778 60245\n23736 66139\n10140 25650\n43461 76082\n41985 97555\n67568 78361\n65904 96211\n56574 67472\n14692 39850\n35519 39352\n9390 85090\n10426 65788\n68877 80854\n69415 95771\n10193 11877\n16255 98645\n84865 95001\n38143 78103\n69204 85877\n25557 66826\n35276 97251\n19008 65804\n82865 98885\n77358 85055\n19438 54980\n71748 85228\n40811 95189\n6147 97969\n30068 59825\n64934 75937\n46516 99133\n6283 88153\n80537 98784\n66057 85968\n53342 70445\n54771 62122\n65364 68121\n55481 95776\n14857 84907\n66590 87398\n36296 89888\n29427 95995\n38470 99427\n16149 22856\n47321 98961\n32042 84817\n45302 66394\n27263 90315\n32860 52365\n9177 42632\n12253 13499\n38026 71986\n11149 98892\n39458 86706\n57001 79182\n8265 30583\n19831 92951\n18770 62841\n14826 46371\n70719 93679\n20318 53979\n24552 46419\n46905 96243\n54585 64792\n53250 74884\n63262 90672\n40873 74298\n15167 25113\n30744 87205\n7158 15254\n52954 94286\n46144 48981\n8390 77871\n50893 89444\n29691 95154\n5621 66364\n8065 68425\n32536 80823\n80083 83724\n32036 92213\n37988 68044\n15073 41081\n19376 88954\n51660 88044\n21345 66216\n9692 65316\n25584 60297\n63135 85430\n8929 48686\n76393 84710\n60160 62248\n22871 77730\n18434 22799\n18782 93147\n29336 52315\n7290 43355\n28909 87540\n16469 20167\n51050 89950\n71595 73632\n13182 86255\n12861 21836\n73377 74228\n6439 94045\n20178 29038\n13458 33745\n138 12783\n27217 80736\n36295 42674\n17626 22971\n23148 41542\n19400 25536\n265 26803\n59276 81841\n45612 83424\n26682 69270\n20115 76657\n6658 87317\n4167 94032\n18532 92935\n44241 58455\n23718 61495\n4782 51919\n10243 77141\n31914 78562\n41096 48674\n86306 89993\n47584 80449\n18971 36174\n11678 62245\n8513 48709\n51296 96968\n43229 64920\n3254 45110\n37444 94428\n46940 70293\n4496 41117\n12922 42698\n7876 46781\n45336 53925\n10456 43656\n71596 86331\n51628 83309\n23909 57781\n49603 73165\n52390 66718\n18164 35304\n50206 56454\n15074 91948\n25282 80931\n23980 45344\n6891 40903\n14390 27730\n25982 65207\n6748 20311\n72219 79561\n18633 22302\n20270 33407\n25664 73596\n45968 54946\n32503 74490\n43197 83161\n93096 96569\n5869 90608\n60093 83266\n11956 34878\n21955 57052\n18145 76377\n5681 65424\n48681 61291\n58168 66487\n5544 73883\n33568 38310\n38143 71711\n60316 86502\n4820 85958\n15880 65567\n10127 82824\n28749 71568\n57860 73123\n25818 44161\n89015 91932\n3224 81915\n3956 39272\n8520 47651\n1447 48540\n83787 94296\n2287 47027\n52691 76216\n78419 92549\n20772 32489\n32188 79464\n34679 35927\n22820 35115\n531 56349\n34786 35085\n32450 70730\n49374 77359\n40825 45166\n15082 61371\n46192 95949\n14617 19804\n19010 68119\n5819 89979\n30119 71799\n27965 51161\n36110 56183\n40764 72580\n96883 98543\n58846 68383\n63862 94050\n14420 89578\n52651 92419\n33539 50615\n18043 30575\n15302 72989\n46428 51995\n36864 97479\n27351 70484\n71495 80047\n19561 29373\n9430 94528\n42383 56034\n33125 87193\n6810 59608\n40708 86165\n18300 57664\n1914 31144\n40067 49238\n20140 41993\n39359 74187\n53151 70134\n39583 69618\n25688 87715\n93307 97107\n55403 98249\n44088 53634\n603 24574\n68947 76515\n14143 51247\n45775 79250\n26531 95377\n4494 66017\n15946 98606\n18843 69346\n27152 35407\n25892 55091\n42293 48453\n44362 46868\n29880 32136\n8065 93693\n51517 91718\n29033 47292\n36468 79069\n57859 77886\n37935 87033\n4189 29836\n29847 54379\n58645 67865\n21509 91505\n24337 37702\n21445 66675\n17672 53477\n28128 53473\n25474 71839\n35361 51620\n29786 51422\n42381 50946\n52345 56527\n24434 89835\n4412 58669\n60027 84575\n22330 59371\n36637 53121\n70468 83416\n19078 64381\n79212 95439\n3435 97940\n52743 81450\n16861 65321\n49260 62479\n61352 82799\n11618 88758\n11135 81647\n68316 73058\n42902 81223\n18875 24464\n88131 89857\n40244 90109\n70427 77881\n5908 18953\n35371 37739\n16066 67699\n38149 42166\n54909 61320\n8411 17392\n9676 68252\n15617 25986\n79906 87960\n30879 47410\n64170 67448\n72381 93020\n29859 43213\n20278 24783\n12026 45227\n20119 84739\n27613 30670\n89524 89706\n17165 71183\n30288 62670\n64227 84632\n84104 86396\n28986 65157\n15403 57542\n24844 62547\n5753 62725\n88988 95207\n8073 64815\n5218 99730\n56521 61893\n43745 76546\n6827 50281\n70307 99726\n42446 67409\n3739 92878\n12264 18369\n23646 92531\n6644 77437\n53575 91643\n9565 44756\n27737 32855\n29499 64322\n13645 21641\n28088 88185\n18063 93161\n5484 40232\n21911 27704\n23198 27405\n1066 25915\n15522 28763\n57845 80859\n5120 75946\n49627 70094\n43377 51603\n29551 32832\n3785 5056\n11670 93848\n66858 95359\n3897 75510\n56614 84224\n471 57900\n8167 87848\n3644 10895\n41364 69893\n56288 66467\n70129 82219\n35893 46402\n50982 60960\n53475 85840\n34497 41810\n1205 4583\n70922 77572\n16062 98076\n26800 57664\n67132 67620\n70662 94218\n22597 64412\n39508 82803\n44099 66798\n17586 52975\n14373 26988\n43495 84636\n4470 49315\n24018 37625\n3531 22312\n84899 86971\n20244 97174\n31352 52078\n76140 82300\n30660 59715\n15296 89729\n38281 66479\n27917 53422\n10072 88844\n29095 90998\n32937 42760\n29141 94450\n4447 46165\n54498 60532\n7497 85326\n88409 93622\n7644 35897\n41271 51663\n15892 36720\n15256 73215\n55681 82241\n35707 81406\n6229 57246\n85396 96889\n23118 33350\n14321 59761\n2891 44057\n41810 70631\n37771 80415\n32941 79099\n14812 52927\n62184 70694\n36902 57409\n26247 66459\n52581 88698\n27535 66004\n26568 33512\n9607 73369\n15813 95358\n39941 52820\n7158 83974\n79922 84647\n31618 44552\n38395 99679\n11665 67149\n37230 54035\n23618 52130\n31514 66944\n32883 85973\n37645 87918\n58496 64783\n18775 75222\n26933 92437\n22884 89038\n85138 97993\n4479 91364\n34677 87106\n67719 90487\n17472 81160\n39258 76158\n37731 39035\n12000 96245\n27405 73305\n53963 89348\n84268 93523\n47147 83902\n35443 80628\n28668 63094\n35797 79578\n2821 93191\n289 65200\n6162 22692\n41882 60884\n55882 93780\n19936 22362\n76451 96419\n55167 95919\n24616 94449\n13307 71807\n8951 70245\n46789 48601\n49026 49726\n11250 69366\n7359 85524\n69964 75292\n68393 78313\n23914 94281\n65297 66595\n3786 99242\n6077 74352\n9624 25927\n68427 78804\n29036 53511\n64564 64652\n83273 99753\n48850 95092\n9605 37657\n69983 86821\n45557 99879\n45632 51968\n51195 91079\n7537 17940\n23913 99782\n1804 54564\n2365 24780\n32547 52901\n33519 80739\n31577 55740\n45279 72140\n23140 82670\n32805 44380\n6335 61404\n44075 58005\n37652 46604\n17379 59113\n6964 89587\n4420 16564\n8842 64654\n57265 58671\n27002 65703\n13598 87624\n5474 92534\n3302 18425\n14622 44117\n21521 73487\n20510 72962\n66064 78250\n52835 60135\n20545 98555\n29812 59933\n17684 67365\n37013 69325\n43404 52160\n8340 30801\n13149 96901\n27934 29417\n65911 99584\n23016 53655\n17881 95465\n50828 88943\n15823 16234\n858 41736\n70631 79077\n22889 84346\n43041 48883\n87411 95388\n38775 83408\n18001 99822\n44584 90204\n5241 18722\n12019 46578\n32782 96396\n22792 75127\n22736 27158\n43225 84763\n18224 62277\n13955 53094\n64226 65337\n23597 99683\n24734 59402\n17522 81252\n1800 16004\n9088 37857\n18033 91303\n6136 54743\n52165 82365\n25805 36987\n21410 80432\n15744 48091\n36112 92547\n41784 53030\n11006 15996\n51821 82762\n47171 48705\n309 17847\n80706 90389\n59899 76509\n6775 8109\n46711 86671\n17064 88911\n53777 64490\n43402 90333\n7595 55637\n85494 92742\n28720 62343\n48897 76486\n50665 99828\n51579 75303\n29645 42963\n11236 98299\n15343 31608\n69024 77635\n12577 43135\n45202 62421\n1019 38541\n9413 92388\n6991 85573\n33399 91410\n2979 46580\n4968 17787\n390 99105\n35129 70270\n18 81768\n1141 32428\n6172 40371\n47338 55204\n61924 77806\n39665 74509\n67902 95750\n29674 69552\n10537 99239\n2628 93381\n5848 22340\n50674 51960\n39449 59562\n42894 60484\n39649 92407\n9861 99170\n3447 52413\n68784 78588\n86526 99210\n79694 89252\n47974 75136\n3060 35150\n72866 93404\n66240 98342\n26861 45905\n55645 78409\n8009 58725\n2364 98552\n12527 57478\n60784 99146\n24246 57201\n23400 63116\n27607 47044\n40581 43567\n9458 25059\n9238 13656\n24718 74694\n20395 50344\n4855 28989\n8502 82932\n27831 49481\n33839 59117\n18239 91878\n54367 90273\n5913 97117\n43877 45525\n34463 95678\n17056 46223\n3804 37046\n44294 54713\n21635 66144\n25323 27569\n22732 33684\n91017 98358\n8963 79176\n12820 97338\n3904 13059\n66850 69817\n26417 65198\n24896 40356\n73995 99334\n66640 86763\n5529 32010\n12406 30063\n68305 86917\n12867 68206\n47174 64548\n84550 95671\n93850 96302\n11825 39019\n49967 54074\n67790 88959\n22536 37637\n59215 68121\n23552 75522\n35118 58505\n23408 76882\n51995 76833\n5841 95543\n37310 81914\n62633 69067\n36682 76517\n8097 11561\n14385 73873\n17711 70575\n61675 92928\n10804 58343\n19573 88679\n29948 99429\n22748 61142\n49027 87789\n14699 84486\n62954 68468\n30758 72986\n63256 67728\n22807 38703\n29021 68136\n32938 71958\n26418 44326\n9710 75389\n77413 86749\n17940 88353\n24361 53426\n44290 54766\n19256 50219\n3211 16098\n41571 45388\n4816 18653\n8326 56705\n71643 89788\n54913 72888\n44890 99000\n40901 50459\n21934 61252\n27722 68187\n41400 43878\n18326 78500\n39366 77158\n55122 83363\n47210 57480\n371 99803\n31388 42398\n28965 91901\n34581 91244\n61918 98475\n44343 83942\n9337 50027\n40889 52811\n18323 67068\n25414 88418\n44717 82097\n10027 35732\n22967 64837\n8260 44254\n32803 36327\n7281 83753\n25105 92930\n2085 45254\n26320 54884\n9783 24980\n47455 65121\n1829 68313\n5870 26043\n442 65168\n44742 79871\n47600 96203\n16160 41420\n3193 35778\n2240 75860\n51026 62049\n57789 77064\n62016 99848\n30375 76216\n8557 32693\n47679 68119\n64556 75153\n9934 77590\n26445 81299\n53157 88645\n7762 13217\n56850 78202\n37643 58295\n63056 67721\n44789 81576\n36064 41476\n78874 85939\n7899 72359\n19470 86713\n22610 36675\n48212 87668\n34269 45862\n28760 30563\n59019 66740\n80287 95596\n39271 63595\n41039 53251\n14110 91840\n46710 97071\n35748 76383\n65311 69959\n93981 98201\n1237 95077\n3324 10109\n80460 88550\n1738 51272\n14613 34518\n81489 90373\n76417 79198\n33610 69912\n11008 60416\n35234 85156\n9637 37753\n24061 56699\n18150 83277\n41495 46620\n47816 77730\n20283 35369\n44831 54290\n27081 46317\n7644 83268\n16322 95551\n4189 89225\n32304 41125\n48143 55730\n64660 67183\n62406 83961\n631 86789\n16581 91395\n11129 32919\n37405 83391\n45414 51855\n42853 63868\n72997 85974\n55283 87495\n2641 49726\n18290 48932\n8032 42432\n8248 43057\n34618 54558\n1129 5310\n3566 37900\n2326 62928\n50425 99201\n29890 42309\n15946 27387\n57409 71482\n63567 77160\n40617 90379\n4261 24341\n34257 86490\n29324 82111\n2992 70147\n9896 74559\n48281 54309\n43010 97115\n47667 73602\n40463 89777\n4335 45919\n26394 72729\n22153 33711\n11131 59269\n61982 81477\n47780 99354\n38148 80557\n36155 37196\n77242 92376\n77460 83662\n34616 76827\n14607 20847\n13784 20730\n68652 83623\n64707 71027\n11814 84889\n57978 92134\n88670 89713\n8663 86468\n63682 96620\n80140 99915\n52582 97290\n52914 95471\n34390 78785\n63885 83506\n29804 60963\n6347 31291\n38163 44499\n46897 66750\n25032 78973\n15415 23131\n15446 67975\n13185 18708\n9676 42150\n41369 66761\n18810 79627\n67535 97916\n50704 66447\n37498 49398\n68237 94175\n58433 89741\n59918 77293\n59833 96638\n24141 40736\n14123 80159\n36975 49020\n19765 81004\n49464 65785\n53297 77306\n60230 68978\n71731 94399\n29310 76854\n5944 41884\n13514 91206\n8115 24224\n12746 93889\n34322 49999\n40521 77244\n6568 29421\n65301 94675\n24733 76640\n40910 88162\n49774 76339\n60862 65479\n10482 62752\n39981 44744\n42594 42792\n36710 38647\n5529 96025\n20295 76512\n5806 16849\n4266 30808\n31315 37288\n47851 83850\n38818 97343\n32611 87643\n43672 85942\n20877 28345\n3564 71046\n21122 45965\n57684 78755\n41544 71025\n58429 94993\n42238 68598\n34160 88128\n15965 37915\n17796 97103\n29442 87302\n70498 81148\n43320 74336\n40252 88309\n32912 46293\n9764 29253\n64966 89422\n51079 63832\n97800 98919\n2282 74521\n87659 90214\n43604 64458\n42565 67248\n16875 80149\n19636 74472\n24271 72137\n45724 86651\n21417 29986\n8292 13781\n40889 41526\n59729 91291\n26281 73422\n2059 99140\n40532 75657\n5473 18759\n61650 78690\n54657 90729\n19382 82966\n40821 69773\n20037 78726\n27503 92953\n45574 49014\n15117 72564\n25143 78036\n39646 89970\n34800 81407\n62928 84916\n90540 99030\n2333 84018\n47921 65329\n59055 86326\n21098 45475\n41929 62635\n53674 94194\n6389 38118\n41350 65113\n21765 73227\n5728 92585\n8914 97247\n14431 50987\n33948 55018\n6341 35507\n32666 61846\n12465 51658\n4370 83479\n35789 93239\n33261 94719\n2087 42910\n47193 78586\n33772 88848\n85875 92259\n15455 52198\n29087 98748\n31504 65815\n17269 31605\n54332 88543\n21676 60194\n53756 83296\n58709 82972\n66442 76176\n80962 88202\n18618 95686\n22277 92288\n20313 24920\n33664 43085\n18880 88768\n74971 83650\n32316 58026\n3537 6715\n56450 85010\n18524 50556\n49731 82320\n18109 96178\n38315 46254\n65030 84929\n12167 20162\n22487 71334\n74745 87166\n22999 95787\n13112 43124\n32267 74663\n10203 20227\n17769 39652\n42109 52833\n33413 49518\n29243 91615\n34769 49133\n21376 62441\n25549 90302\n44857 94437\n12915 78654\n69390 74331\n16864 75423\n29097 60832\n62294 65066\n46281 96555\n69685 73622\n72832 79205\n25905 53335\n36652 46606\n78973 83058\n2228 37790\n4273 40428\n29126 60131\n47036 82393\n26655 69945\n44691 44800\n13117 80565\n14484 82498\n36175 78274\n13141 94081\n10625 80990\n43035 87749\n6575 75813\n54810 86109\n672 38721\n33625 39172\n28634 40980\n35345 50182\n71274 86035\n30951 59217\n4393 96051\n49686 67246\n51629 74473\n7905 73912\n50027 57278\n26615 51620\n30318 49885\n43348 47484\n37201 67301\n74987 80753\n49043 90178\n5754 85758\n9775 14205\n5368 87918\n28817 47371\n21753 90655\n34210 47436\n3727 55759\n20921 52585\n33182 33958\n68275 91509\n9326 46733\n56124 63173\n83793 96394\n53195 86820\n26178 40572\n48565 48736\n31945 61718\n31594 51429\n53622 72027\n33490 80967\n47384 56599\n80761 93630\n38783 85150\n37952 45157\n10834 13683\n8392 58968\n14217 88034\n50406 57046\n12604 70709\n45943 58757\n53968 68045\n34044 46786\n2204 76931\n43958 64705\n74955 93430\n15269 42167\n63575 74838\n32327 99770\n43702 99560\n48617 72217\n69462 71214\n67753 92135\n19167 54877\n45554 74464\n46789 97368\n11478 23955\n15803 36410\n46513 84995\n22583 94460\n12386 56118\n30015 39218\n34795 95592\n61743 98096\n52857 96670\n612 22411\n96901 99111\n10895 44111\n12580 27360\n15426 91520\n36860 66183\n59923 98657\n48846 55813\n21642 47621\n31650 67276\n4920 56793\n78190 88537\n22020 39418\n2702 35266\n10561 14557\n69552 87281\n59882 74909\n42876 88753\n17147 91305\n25213 46374\n57819 84918\n2814 96996\n62695 98168\n10263 79128\n30189 98679\n43575 51973\n5377 60284\n23229 32773\n18817 84417\n16156 36422\n11803 98726\n38735 73672\n27792 29401\n33947 38136\n19755 32574\n43610 80958\n25627 56228\n14102 34608\n35960 78264\n34326 79226\n29696 98212\n52622 66755\n34672 91896\n25454 74428\n30011 94069\n9806 55300\n926 63292\n51941 96324\n43381 57167\n8194 44974\n46078 57095\n11410 47839\n2732 24921\n67733 87397\n42122 81086\n57548 96749\n24070 43727\n82863 92082\n58984 89490\n14778 42257\n39822 83534\n2699 72582\n27394 35132\n21095 53919\n19435 21569\n29424 42457\n55912 56999\n22988 46702\n17155 17468\n52812 79878\n47764 70619\n5280 6705\n28833 93399\n31963 68042\n59523 80806\n6947 36983\n25644 66440\n34345 36819\n256 84970\n14304 81217\n45403 60872\n18161 96563\n8383 20800\n8380 24438\n75041 78576\n10757 57925\n42106 78039\n66892 88703\n33040 66895\n57032 68134\n22638 64488\n8406 43517\n1700 19581\n46931 51791\n32654 53645\n77661 86153\n2975 51912\n28610 88825\n37694 58063\n6280 73346\n27232 46488\n6901 47765\n4029 91831\n12303 52111\n16052 82708\n84716 98468\n71274 91197\n7786 45186\n45140 73833\n16924 95247\n17866 49968\n13840 35513\n72325 95774\n40503 73769\n66072 83866\n65547 80790\n31171 76133\n22987 84127\n39121 97239\n10879 24145\n364 55228\n18634 49114\n33313 71959\n4112 40547\n42158 96025\n34883 71046\n13624 43230\n51477 98689\n42363 44449\n10341 77795\n18419 94677\n35380 57559\n9951 20088\n68625 70631\n66394 89606\n41530 55900\n94909 97600\n44365 75046\n42876 79004\n29453 93840\n41812 98725\n80027 95174\n1003 27612\n8456 41950\n2254 62753\n62925 96537\n62014 76747\n49816 63090\n15941 93515\n70103 77444\n32284 87705\n17988 80509\n54947 77920\n60671 70171\n82645 90056\n17473 67515\n48967 98719\n5762 34088\n55674 74867\n26770 70717\n29657 65820\n75820 99871\n25917 71497\n14934 64273\n33964 35430\n10870 88998\n42014 80654\n11052 33569\n4678 16542\n36661 75949\n39215 81869\n8346 33855\n18767 76382\n61680 76788\n63509 79359\n38459 65711\n6240 37358\n11789 53652\n2603 74532\n193 69002\n30146 72271\n77161 78604\n35184 69138\n74070 85623\n4859 57631\n858 65803\n7101 34624\n3386 82433\n19898 55220\n24537 96295\n8243 50036\n57364 64510\n17367 74184\n8864 97339\n29032 36979\n5809 81495\n49198 91944\n85177 95811\n34360 58687\n25644 59978\n23620 98830\n1711 63500\n88256 98878\n40884 90164\n40275 80933\n79010 96567\n78154 79979\n4887 27025\n8713 57701\n22983 32738\n21575 49387\n54758 82945\n69438 88560\n25758 32590\n11519 89046\n49293 66684\n38153 61464\n54371 66093\n18374 35582\n87424 92751\n14238 42670\n67592 92440\n29079 81687\n22192 42364\n63005 78868\n16046 82167\n132 43708\n28048 46862\n35344 80444\n31969 41489\n47060 57725\n64713 81664\n22812 30220\n11249 24677\n42798 74668\n12220 79588\n11631 94571\n15788 59140\n19399 85872\n49504 92589\n2099 27370\n7745 95418\n51309 61778\n32095 88988\n9659 32642\n26683 31734\n17012 70103\n25867 35530\n11571 41326\n18958 55311\n20194 84084\n81969 97338\n18313 93887\n834 1925\n34645 56209\n72755 91632\n87746 89539\n20388 44573\n25687 64817\n93570 97990\n6614 55262\n39820 85706\n68244 70546\n30430 51004\n62034 92026\n30301 31314\n20920 68260\n51856 53213\n42298 77485\n61689 76174\n28056 55506\n6267 23198\n61186 70128\n92282 94891\n3635 40161\n30580 55531\n44234 61548\n14733 91308\n27942 78781\n13067 58661\n60711 81097\n22467 95050\n28068 42019\n54897 66230\n9604 42640\n28268 52777\n13077 73333\n10359 15754\n9087 40148\n17606 28754\n85226 90702\n18728 38300\n26105 72149\n48293 61917\n72562 85797\n44175 65730\n52733 67208\n38705 68255\n19901 89170\n1502 15287\n11231 27672\n21180 38046\n63925 93527\n36023 53294\n23310 26491\n58175 84426\n55270 69735\n45739 93847\n19042 24994\n41357 97044\n68410 70482\n50387 84264\n37875 84220\n34611 62481\n17511 53005\n82206 96525\n24895 44180\n31336 84484\n78659 85568\n831 53342\n7441 62518\n1447 1768\n4496 97927\n76376 81858\n1537 13533\n26479 89425\n68001 80902\n23786 80516\n75983 85274\n8997 81332\n5803 37805\n11222 43352\n67688 80407\n17149 19601\n3611 91070\n52905 84163\n14251 63258\n61314 71242\n1555 36473\n24683 50543\n17152 28862\n2518 51319\n36712 87258\n95524 96950\n17692 88020\n31861 81718\n33015 33169\n79540 99173\n21606 56158\n98670 99844\n38584 75036\n54184 64943\n5579 81651\n11881 30293\n78435 85346\n35968 67714\n51691 92129\n20215 52564\n26863 33924\n7005 35447\n15440 92077\n4503 38911\n30396 49335\n78702 80780\n12015 92699\n6262 28949\n27997 73750\n38819 81364\n21731 99862\n847 85303\n30468 82888\n19445 82079\n25026 36497\n45714 50225\n41919 62654\n59263 82483\n4204 45102\n70132 83866\n15902 37075\n13133 72197\n49270 95581\n40305 58137\n66631 94487\n37928 42400\n60056 60391\n59943 91784\n40616 45721\n4734 72685\n12615 39848\n495 34727\n16538 68159\n39072 55736\n14336 43297\n67445 78771\n18126 52790\n30368 78207\n36425 76941\n11347 84241\n74815 87762\n9426 12847\n3427 68284\n25312 27508\n52853 70448\n22984 23615\n27103 36468\n10390 68687\n68400 83458\n14361 65044\n1914 97464\n3558 72377\n39858 79960\n19099 45040\n14647 25508\n42160 91388\n27559 50452\n12808 71222\n1583 79215\n8585 38550\n68649 87290\n25718 44470\n558 39333\n68668 73891\n4052 6144\n5020 7449\n58907 98570\n18209 40080\n37665 84299\n13607 61365\n6202 78550\n40002 97152\n19176 82946\n25289 27709\n74712 97709\n9325 30705\n9388 41845\n43848 63214\n4722 7459\n77615 79557\n3485 81094\n11022 41388\n7647 79409\n489 40701\n20815 79447\n50719 56271\n55441 66579\n12854 99188\n46965 99449\n21895 40219\n11479 28494\n59437 71187\n48324 65595\n2960 23949\n57230 69316\n6661 20944\n26824 89097\n20872 90378\n7623 92652\n25704 31827\n7347 31972\n16812 22770\n86305 96491\n30790 83875\n35496 48174\n36874 47173\n12781 53610\n68694 80480\n13105 40673\n42816 67106\n80392 93042\n30200 33207\n42870 73769\n6510 13172\n17373 22927\n70873 87595\n744 90987\n22907 26726\n39427 48327\n8794 20771\n2192 14399\n27397 51052\n51145 74095\n15521 90461\n88222 99390\n36240 76360\n13135 34304\n51963 86399\n48848 55281\n53087 68981\n10660 66407\n17698 91362\n14660 81628\n75586 94615\n6971 85980\n75691 81585\n64182 88358\n14235 30603\n58257 90891\n59292 73415\n9525 55565\n86651 90810\n43585 48533\n21527 51353\n13159 43666\n57470 94544\n23085 50588\n283 45401\n6913 59761\n54896 84799\n12015 74308\n11913 40519\n35561 91793\n41910 47790\n57847 92074\n29316 79039\n6252 19192\n86950 93173\n16999 60551\n33009 36771\n33683 47437\n22777 26427\n6158 46841\n5633 38726\n38961 48415\n41041 73568\n4537 66578\n52077 63342\n23567 24493\n11371 93826\n92122 95908\n14553 62762\n48680 72517\n20216 48601\n3576 47855\n38155 62384\n47589 80617\n23244 41220\n18722 39157\n16611 18262\n24512 83324\n91843 96690\n26892 76811\n65493 82488\n19872 87255\n17041 72477\n9047 36698\n22699 63970\n12545 16214\n47558 57631\n54312 81398\n17366 81724\n33639 37341\n40742 57371\n22551 26891\n37643 98100\n22282 25756\n3136 46967\n26634 43938\n64336 65853\n22442 84498\n7500 28519\n53016 56348\n71380 99363\n14371 51117\n6698 78176\n19354 74862\n46539 95043\n69786 82413\n10145 55022\n8952 46359\n20916 84502\n24333 54391\n37535 38576\n9825 99975\n89309 95849\n36716 85104\n8009 85316\n5434 71274\n45355 99600\n51580 61678\n8639 58927\n4196 17537\n3987 47377\n3577 81514\n63463 71072\n70545 99639\n37710 58729\n38146 49774\n868 89280\n4834 54592\n43942 92468\n14103 56098\n203 75498\n81178 93617\n86361 88109\n8610 95340\n11656 84050\n84850 95612\n16471 47878\n25522 42291\n45051 75891\n22131 86215\n58674 87117\n5113 47042\n12032 33793\n29808 75752\n77311 79600\n53589 70132\n19330 64021\n5930 51405\n25256 84959\n4860 95247\n36785 95597\n8067 81070\n15226 35591\n58401 74777\n16558 90437\n18096 20721\n19386 46555\n5294 9949\n16004 27668\n12045 14924\n48655 89497\n6280 27180\n299 27796\n16867 42626\n18699 20920\n11130 85368\n39003 58444\n30792 58085\n26541 55517\n11631 40246\n29860 73687\n50353 75105\n42282 69359\n16161 94733\n3796 84326\n59662 77631\n15781 78751\n8152 34446\n36286 55442\n51772 73740\n54164 57474\n23227 27543\n5698 50425\n12627 79219\n38052 82844\n88762 94270\n92021 94766\n22205 33040\n15177 92330\n65492 80693\n13889 58278\n22107 89827\n4211 36276\n26576 62677\n1847 22342\n27816 98512\n28566 49462\n14146 58634\n12691 48186\n16054 19300\n60399 77385\n40015 68319\n22614 67093\n66630 69533\n13405 89857\n42721 91793\n16903 86315\n48979 71754\n3043 11182\n76377 95277\n14342 58575\n12546 32084\n2385 49221\n46627 56969\n36323 47263\n9950 59299\n61828 80805\n12043 12630\n39868 64648\n55423 94062\n1367 95086\n4111 6213\n23351 45308\n25559 47840\n7833 74463\n14788 83409\n72939 87356\n31159 37467\n24670 71041\n18226 70384\n22419 51496\n42352 73024\n8139 85112\n11663 56964\n77005 93387\n40060 48662\n8068 37210\n2794 20105\n2789 23488\n26003 46241\n36691 78767\n5366 16248\n50455 69396\n60427 96498\n15048 57373\n316 87165\n47196 85741\n14247 75301\n16718 63328\n88261 94377\n73575 77479\n54366 65544\n94113 95260\n72403 85295\n33629 38032\n17615 94120\n859 53937\n11419 23155\n5519 33236\n327 80161\n42527 76369\n40590 87711\n43046 87992\n43999 90231\n1247 8788\n42696 91860\n13429 49060\n69346 86860\n51225 77498\n9838 57276\n1696 85877\n49569 58828\n51644 52486\n8691 12138\n15592 23939\n30648 84195\n44166 70073\n26278 77373\n54723 69542\n19543 52998\n38841 80074\n74808 79828\n20221 46044\n70812 95287\n58901 92532\n34983 45090\n11567 82187\n33 64869\n5370 86997\n59425 70344\n28315 89919\n74001 80386\n6506 9957\n22970 52732\n24130 53976\n2783 24537\n27960 40356\n15931 56990\n88779 97218\n6653 80351\n43427 46369\n66824 75346\n77431 93254\n3483 22686\n14856 75434\n49306 83260\n10311 87390\n9001 16684\n27369 67965\n64298 81265\n44855 50389\n74699 89649\n7004 43430\n49708 87612\n45746 88492\n35498 88292\n69774 86432\n52350 92236\n5858 15659\n47648 60903\n64621 92047\n46968 60324\n71652 89010\n28907 49404\n28577 31106\n57079 82327\n11537 41645\n24934 52222\n1898 2793\n58690 98698\n20027 26526\n49017 76292\n41367 54716\n10301 62040\n88317 97556\n33639 64111\n63480 83466\n17476 61124\n12723 30029\n6320 79273\n4962 9704\n14161 33260\n24791 50627\n30733 93380\n56292 79416\n9918 31299\n30241 61717\n5864 36105\n32186 52683\n609 46029\n3743 73595\n80148 92811\n3400 86799\n51318 69789\n30553 31723\n37497 71392\n30610 94338\n28429 42611\n16855 32926\n92670 93745\n48047 99235\n27051 54220\n87283 91944\n82173 97481\n6962 73285\n9033 93995\n5719 18775\n44832 89184\n6313 49816\n5285 97619\n89135 98039\n33749 79596\n32658 35071\n12964 82620\n54143 90974\n51417 76499\n55628 58180\n29177 88882\n59917 72733\n44833 92757\n3553 17806\n422 63335\n18858 66932\n23754 57011\n52000 84345\n13715 91948\n9239 50463\n3756 81953\n39380 57359\n1402 30659\n34982 67622\n34597 57761\n11044 46823\n45931 71592\n18016 38654\n28530 40718\n41219 89567\n45689 84165\n29025 70206\n11586 30072\n47955 87965\n37032 98880\n52171 56709\n15202 27963\n36142 50880\n45 27142\n33659 57279\n78336 83109\n5760 33053\n14430 85642\n38404 80962\n33048 98466\n82339 90630\n28832 43207\n1749 2573\n51021 81171\n3319 99801\n55957 65463\n20268 69231\n17465 83994\n66998 80262\n24407 77515\n12412 66387\n63345 84751\n29731 32954\n20974 49075\n16160 57730\n37758 77521\n9598 99821\n34861 97877\n10812 39424\n175 86110\n24035 75949\n24501 83050\n1668 38293\n20762 97213\n34301 66559\n10514 50359\n31414 59307\n3153 49030\n22207 74815\n24626 66767\n6015 16149\n16646 55831\n8910 23012\n20191 53359\n18939 48035\n1800 32193\n91797 99460\n58167 87519\n30291 76290\n34843 39803\n45183 66244\n9782 57956\n18975 63392\n12672 67812\n24614 32634\n4042 43065\n44774 67646\n30337 32113\n13479 38944\n41583 83071\n14017 43782\n8699 88625\n49770 71553\n80863 91131\n61092 98449\n34788 35157\n89861 90007\n50554 94006\n86605 98363\n38236 49466\n21340 75353\n676 18144\n3987 18499\n35665 81339\n16004 22123\n9700 65612\n58340 83090\n1349 51485\n40853 50717\n26746 29388\n14045 64715\n4391 77217\n90684 95046\n43566 64277\n56273 73419\n54055 96973\n41176 72911\n75153 86798\n38194 58262\n3138 41774\n57108 61166\n31653 82068\n46476 50341\n22152 86905\n23074 63775\n25100 75107\n62264 92117\n43408 78886\n79774 87953\n44312 95590\n29594 45514\n69775 83185\n15669 75163\n18652 34072\n309 22739\n42997 81770\n8479 8559\n2627 82654\n1967 16538\n67717 74207\n54549 61529\n25780 34396\n25145 84057\n57695 94662\n54083 83232\n15985 61048\n48673 76421\n21338 60348\n21745 25477\n399 16043\n11146 47238\n1097 41108\n2044 50588\n38801 45516\n10581 67476\n34238 93863\n8761 85769\n35897 82223\n22135 81104\n14593 69445\n61241 96688\n42209 62489\n30452 65467\n12243 78522\n38278 69469\n31888 70766\n43031 70921\n35674 45878\n78429 92756\n18305 30144\n57423 87030\n20489 30950\n21455 57377\n40567 43182\n10097 78728\n39917 70017\n5132 93833\n23782 79636\n17597 83952\n20577 28015\n2081 15782\n74485 76170\n32897 88661\n35385 92195\n39496 67688\n58759 69536\n2831 81336\n47387 59802\n50506 82681\n30941 53656\n44667 97687\n46400 89557\n18992 25680\n2535 36400\n6379 7431\n76089 98679\n65444 87054\n24123 75277\n11476 64096\n58 1361\n51783 53684\n26746 60241\n41996 89512\n34110 63920\n18442 47096\n29764 62233\n13776 87367\n67433 93450\n23785 40937\n81 4749\n9107 83143\n3331 96459\n47205 92863\n1176 75336\n42854 69456\n99826 99858\n50756 97549\n44029 77996\n18844 51814\n68967 98821\n71100 92671\n2471 65805\n15439 23999\n49525 64580\n3030 16839\n39312 61944\n44977 76011\n2009 31314\n7887 63984\n25146 83381\n1970 42362\n56930 84359\n44487 63783\n5095 68795\n22056 99476\n50319 62294\n90249 94647\n41324 59833\n15834 22068\n43342 60159\n22056 40454\n43271 49791\n27059 82407\n49054 78805\n32707 81586\n47342 66085\n19405 33982\n4760 34844\n25693 81843\n44069 83100\n27497 90248\n3528 34389\n75898 99104\n39516 70748\n60838 79276\n3482 10403\n8827 66292\n25533 87152\n56421 89044\n16640 53606\n12468 95591\n28373 90541\n12157 85899\n18177 64891\n70206 87424\n39251 82042\n20164 36504\n17985 91281\n50639 51015\n77353 88455\n7741 67762\n37566 94742\n43907 97352\n8295 43764\n36458 46753\n18951 27771\n3334 30805\n22600 44538\n38741 53548\n60725 77544\n37875 96402\n78363 80000\n19303 93566\n37356 88436\n12117 14904\n62728 82298\n2585 46592\n29408 88431\n2617 9662\n40722 99334\n9289 76875\n20072 62488\n75750 78192\n5736 32803\n49235 87247\n21313 86503\n14881 31041\n28678 73346\n60444 95033\n59407 89945\n54577 55536\n67643 84617\n55187 97647\n52159 83480\n69131 79970\n52872 72401\n51485 75310\n15310 77456\n66877 73032\n21201 40293\n57427 94498\n12191 51416\n25447 83599\n64466 95881\n6575 77498\n13598 46057\n20554 74287\n65203 69796\n60669 97404\n59029 62699\n43969 55497\n4828 13026\n1751 15243\n44760 64543\n35739 53430\n74066 88728\n25601 88651\n35910 71977\n38764 80480\n8151 31434\n77776 91332\n70269 92658\n26832 68297\n35698 65462\n14529 34258\n57 68969\n26726 42353\n49319 82817\n55506 91759\n625 7155\n7468 35434\n179 47276\n37718 91878\n43838 96495\n5637 33943\n729 9072\n20329 64687\n1657 47169\n21647 23015\n1530 41237\n23998 87037\n43303 73370\n37346 41528\n35097 50907\n13238 36727\n14464 33873\n81022 88790\n1360 49806\n25686 98980\n25830 57136\n21729 65561\n16402 55034\n58356 72957\n6756 50550\n23627 43279\n31297 47904\n9077 11594\n5947 40566\n88461 97282\n78 78253\n11331 51560\n23457 37774\n39564 59553\n42465 51612\n2910 77879\n23551 24210\n36938 55041\n35422 72175\n13984 96133\n761 24649\n33598 98665\n32596 36787\n44893 53784\n4364 29155\n58084 93599\n56454 88003\n90271 96050\n54213 83494\n7263 79874\n33201 38566\n48258 54351\n16239 62100\n26439 95234\n23326 97542\n27675 56703\n4122 60798\n3821 35782\n50363 80807\n71524 85232\n19365 50537\n63944 79163\n9007 93016\n23920 27351\n3791 66976\n61090 71741\n70827 95377\n68116 99814\n4826 13940\n56782 69572\n22583 27107\n55363 83533\n40338 62731\n6707 67913\n11461 47514\n13450 97638\n18157 70450\n8368 51473\n55724 64466\n10659 38638\n6938 59978\n30516 51015\n74161 90893\n63068 74612\n47356 88126\n23326 29433\n14766 16374\n10657 55228\n14039 63846\n33909 73821\n14346 42875\n50844 59489\n1116 10943\n6980 58235\n21055 29833\n33333 92927\n44199 79457\n13506 99347\n25712 47650\n4839 36052\n44240 51490\n19687 26976\n67480 94804\n2934 9245\n17212 69023\n15429 86256\n2870 89976\n15297 61977\n58539 80451\n17879 29651\n30341 86381\n59189 88793\n75751 81678\n42976 87472\n65121 86736\n19142 81464\n56196 68564\n40676 71086\n52067 78697\n56774 57547\n7941 76324\n38197 73660\n15375 43202\n67430 84391\n44020 94155\n29584 56904\n10284 81293\n24923 89008\n29041 84291\n43501 55951\n18041 61749\n14985 49045\n80602 91739\n8926 70223\n3987 17797\n12961 85916\n40521 69693\n78829 82309\n29123 38351\n68049 69553\n69113 91087\n13644 19811\n39649 61812\n14372 89835\n7818 17562\n22126 95860\n18641 45132\n3501 28512\n67046 96405\n83534 83750\n65363 95305\n74118 93744\n4090 6626\n844 13952\n8420 39071\n10161 76905\n9486 35297\n14501 94067\n24508 48651\n21465 71685\n1300 23452\n9125 88036\n61110 95260\n3912 4071\n32948 81823\n46900 76714\n11046 55270\n37230 74741\n34538 79099\n60703 76955\n72084 88795\n29769 59650\n55165 86473\n53781 98537\n4863 81174\n60931 93084\n23969 63106\n41950 80922\n31601 47023\n17602 48280\n25163 51696\n12188 21555\n16067 31015\n76814 98418\n4735 86422\n38704 55289\n84283 94726\n48523 89573\n28144 90672\n3046 14450\n75867 96358\n46169 60444\n93633 98613\n39396 41904\n49714 94355\n8889 86905\n27816 29965\n48982 58171\n32756 98407\n17319 44154\n48761 93278\n45932 53307\n16576 25695\n13589 99301\n4985 70817\n1292 3285\n51109 73401\n37399 72091\n13719 71602\n25524 97292\n15560 49176\n609 52173\n18839 54710\n52886 53839\n35739 35746\n33614 40295\n35888 73981\n40887 83604\n9524 14270\n42976 95914\n18636 74193\n36029 73552\n49528 62384\n4133 41155\n84395 99319\n62844 78045\n21327 77516\n61266 89097\n21092 42351\n9013 24252\n64245 89743\n14390 85405\n15827 48694\n26095 52966\n50711 82965\n42794 52015\n43266 93211\n61440 79171\n57906 96938\n66423 69853\n15055 15951\n20857 52232\n70010 79102\n54721 82547\n7810 26625\n9006 55748\n538 73567\n18917 40514\n41967 56993\n783 18740\n58557 74621\n14791 26952\n32985 95821\n22662 41590\n10693 19541\n71678 98597\n23203 40575\n39720 90787\n40783 67972\n21836 34651\n26333 62477\n41060 63201\n29423 77712\n19955 94335\n14544 15744\n66481 89035\n22293 41394\n12516 61026\n7865 83049\n3907 47635\n62013 88052\n45874 80548\n83889 84848\n23686 48004\n13056 80718\n6250 52604\n73499 90423\n22983 90189\n19879 20171\n65286 99259\n85592 92410\n30502 88988\n17725 52821\n3909 75214\n5551 77764\n67223 96400\n70744 79603\n26634 88013\n16995 86554\n34510 78959\n58266 66625\n9471 87065\n68728 96309\n31937 46188\n27897 67677\n36146 94848\n3889 15727\n21529 73473\n43228 76635\n61789 95064\n1923 33040\n64681 69723\n52643 80633\n5914 31492\n15532 73062\n22375 58388\n9946 50969\n24208 27063\n12297 63915\n22372 34326\n29236 42594\n91190 95955\n56557 83899\n56971 83917\n29613 96970\n47884 74166\n47663 79914\n6579 39506\n52052 68650\n43023 45467\n40910 88274\n47993 80328\n37505 73544\n22277 57932\n3835 44712\n19695 56365\n10930 63432\n14005 78384\n25338 76188\n35292 67511\n26051 73048\n23615 32002\n47112 56549\n2561 99510\n40630 85500\n1419 39686\n6592 12399\n81958 83915\n36929 47795\n34375 94251\n47016 76445\n77913 84474\n9714 91954\n6944 38077\n23194 67979\n19426 95593\n9489 61434\n11822 65709\n55929 64380\n29441 93863\n32871 46268\n10369 90064\n16674 59948\n81666 84752\n40080 64432\n45976 68242\n15178 45867\n16493 37735\n29661 83778\n3330 55761\n1158 84232\n68713 72263\n20627 62476\n10277 65121\n39405 42667\n59310 73877\n3811 7155\n23299 71959\n20920 57190\n16719 73681\n58313 70639\n15160 83523\n48435 72365\n26930 93002\n89124 91592\n36827 73268\n66793 99751\n15221 88640\n57939 82212\n20440 57183\n43523 84461\n37779 58563\n26213 71854\n55051 96469\n24494 76086\n8902 77907\n18915 47609\n55695 99756\n34149 35766\n29391 90630\n2071 35776\n83828 93401\n32902 45226\n67548 73697\n49766 51746\n41252 55739\n56943 59389\n37300 96926\n11602 94034\n42967 96612\n14941 65229\n39026 53267\n20842 95859\n6791 97723\n10160 57227\n46885 69863\n2433 32306\n20629 72993\n31810 42504\n46171 48370\n47738 62583\n7775 95560\n59967 61289\n21864 92137\n15326 50414\n78511 82841\n44989 79322\n53669 58594\n12939 58631\n5314 83678\n20949 66791\n13695 15574\n18134 39355\n36289 49488\n5628 53874\n75 81857\n16054 52589\n45735 73371\n81674 83803\n9912 86727\n78023 83995\n82778 90590\n20174 46976\n53337 98786\n4056 81867\n72376 86785\n44583 89738\n46098 90877\n12594 56792\n22038 80785\n38015 57032\n32256 34364\n35921 80310\n10202 55113\n7002 12679\n11578 91797\n4610 41206\n51205 76337\n585 1126\n41494 75352\n28895 75929\n18278 86807\n44583 84407\n21302 52126\n7086 55388\n28000 88376\n49027 64585\n9717 14577\n50809 86096\n13913 24780\n62520 92000\n50274 98253\n29382 47520\n9454 30630\n92 46297\n7125 91861\n14243 43935\n52881 62495\n66734 72327\n20318 73885\n53754 92845\n19439 38872\n13362 27654\n28429 72235\n70578 84069\n31525 34363\n21801 86223\n3326 91301\n38775 74458\n25177 91248\n62822 90317\n3292 59877\n24390 61830\n19131 82231\n47808 98283\n40339 64834\n27891 90591\n28426 50761\n1153 17074\n16192 21974\n13216 61031\n51227 52835\n92697 99278\n30033 81900\n18020 95154\n87591 98725\n58963 65908\n5530 84576\n621 3675\n51796 91120\n22870 24375\n12526 50278\n38129 47935\n37343 67065\n94012 99601\n50999 95220\n36455 67752\n5531 77496\n15121 29978\n2495 78314\n12059 38215\n33110 71280\n14359 28001\n17609 90210\n45892 99282\n53277 92337\n23982 68525\n15457 35453\n20382 93843\n41391 56150\n40243 92360\n62439 86505\n56525 87644\n27577 94945\n42265 61894\n61067 91685\n32248 36085\n21181 29161\n9485 68141\n54906 82491\n46560 61942\n78070 88041\n17765 67050\n50282 60669\n68229 88169\n60135 88313\n71383 97481\n1907 54748\n20972 62354\n527 37235\n14695 54445\n89321 97074\n3319 68629\n27187 91740\n2187 46352\n11187 51440\n16179 67145\n17614 54899\n3071 33170\n69956 95615\n44240 81336\n65812 81751\n22025 70272\n56264 93444\n73793 88340\n51301 64760\n55562 59518\n66745 73945\n17730 60640\n15690 63063\n66440 79069\n70429 81093\n66888 88708\n13922 59148\n53304 89176\n16851 20652\n38800 45700\n37104 84493\n39920 68990\n12088 94859\n4273 44890\n5719 99258\n19497 76526\n25316 37696\n28001 73760\n45671 75452\n57969 71698\n41826 79823\n65016 74731\n59394 79439\n5555 22820\n52323 55325\n9636 59616\n51753 99074\n30483 52451\n2110 57826\n10635 87896\n73885 91719\n9953 26118\n82582 82999\n31903 46620\n66381 77520\n6938 52578\n31982 50994\n14528 31256\n39800 56897\n83070 98195\n29226 72702\n35637 65201\n74835 78349\n61454 97959\n63954 67806\n50945 51489\n14145 51988\n10742 77250\n57576 67956\n3844 23996\n49300 74939\n27637 44436\n7120 95910\n12202 18366\n51721 89727\n9597 88871\n73378 77189\n77636 87926\n70578 79537\n79449 85494\n72027 86279\n4102 55196\n37171 67602\n56138 71445\n12329 92504\n1974 23017\n11998 69292\n52101 67266\n11329 85553\n32867 40967\n65723 71528\n23065 86483\n10583 66668\n46476 85979\n46234 47726\n7298 7745\n5421 19049\n42536 77269\n20354 81971\n2120 11986\n21553 85838\n52365 72024\n76873 96610\n4058 55568\n3079 59666\n52398 76981\n22114 52528\n2447 95411\n48828 84770\n25203 68785\n11127 74415\n17094 39128\n34331 90093\n68560 89039\n49733 66341\n32320 99348\n8369 51468\n11085 94758\n36747 54754\n15781 79140\n13505 73631\n31524 66549\n22875 80604\n78303 85864\n63031 79318\n27730 75953\n81806 90716\n7072 81101\n49098 63422\n67301 75012\n9810 82673\n7812 46292\n28725 67413\n45727 91890\n23113 80317\n64200 85817\n4997 89913\n52375 95050\n38059 48840\n6039 77846\n59483 62915\n46519 56337\n4568 27763\n8082 92065\n6740 8344\n3625 16988\n14365 22850\n65171 83278\n34306 81462\n89577 91359\n13602 42252\n15428 40514\n27208 68372\n31625 93313\n24012 49016\n33243 41934\n36683 67762\n82820 94249\n8411 62426\n53726 82938\n19257 20597\n44906 95379\n1121 43308\n79287 93578\n3183 50662\n1281 59959\n58239 96405\n46362 86601\n46666 61458\n13310 75356\n26576 29355\n3548 78809\n76659 76766\n43695 98840\n5715 56549\n9901 41803\n11522 40120\n54195 55953\n19104 71203\n30787 83218\n12778 51250\n39168 84912\n50284 62805\n72495 88042\n33323 35197\n55614 76807\n3524 54388\n57688 75092\n34254 85582\n16891 94738\n15232 74617\n42674 48519\n2556 81726\n55196 71422\n42952 74994\n11849 50233\n16919 55101\n875 76176\n4630 57895\n15679 69451\n453 46262\n35955 40887\n44832 72245\n49851 62458\n62032 95814\n14198 53307\n27581 63514\n11607 75271\n38147 84368\n43930 90326\n22182 86052\n60296 87834\n46173 88382\n17972 84554\n4464 98196\n35806 41893\n9548 71662\n14821 20310\n38358 59413\n83302 90753\n33573 71072\n60159 67533\n36419 45778\n74207 95408\n18430 87814\n14710 97824\n37220 58044\n81007 89049\n12136 34446\n14327 93616\n28908 54500\n53910 63238\n23143 77696\n58209 79683\n46117 95358\n88857 90429\n15256 63171\n32591 85789\n12235 31530\n64681 81889\n72896 74622\n20718 43461\n4283 97456\n83444 96010\n1183 45993\n43442 64600\n31868 55233\n37641 96344\n68135 86387\n31727 55393\n87116 99094\n44361 94146\n2658 73365\n37803 43494\n20841 87650\n25289 66345\n49134 69796\n5926 67380\n39244 60519\n2317 24440\n1890 67512\n57390 91680\n3808 99342\n33831 49793\n12351 88879\n5981 74991\n233 65163\n36269 50995\n66532 90396\n28775 58595\n15230 23557\n2605 43002\n38612 59863\n13724 19424\n50288 94904\n31638 40300\n41119 78816\n1758 89420\n9665 73750\n41623 43600\n4596 35594\n85738 87928\n47412 93939\n51735 66460\n75065 84583\n6406 51704\n1915 47387\n31866 67434\n21288 37276\n10851 11716\n14559 80272\n9917 95374\n45702 48599\n20672 23757\n14327 83450\n24674 78407\n31306 56863\n40117 80714\n5541 95371\n20630 42739\n50601 72897\n41745 57953\n14262 63002\n64482 97120\n61545 67471\n41442 88153\n2792 66706\n91825 94771\n25087 48173\n34127 56214\n41256 96244\n4604 91698\n69931 84320\n6129 14579\n57404 74501\n3196 40259\n67985 86179\n18181 70122\n79990 91598\n6803 44067\n144 80886\n42520 70132\n5194 56236\n75636 99909\n56860 84429\n36250 98735\n18386 98710\n90799 91426\n77709 97342\n26832 79909\n40545 82365\n27068 44092\n42527 51117\n73584 82550\n46846 90935\n15939 58638\n12086 78207\n14757 29315\n45452 95626\n90927 92626\n3190 97629\n25056 77716\n53534 83461\n73972 83716\n18905 44233\n31176 35755\n7088 47411\n12693 77950\n20042 76307\n10063 75311\n5444 11666\n4194 81435\n80426 93019\n34379 90835\n5538 19705\n29495 76916\n52472 81138\n14497 75644\n17165 77963\n15889 91566\n81593 82242\n23623 68237\n42739 51301\n71025 74054\n63875 74476\n19095 55076\n17989 88001\n62268 71593\n76983 89682\n68199 90770\n5899 50370\n8742 67236\n40090 79089\n87831 98409\n28221 48275\n35643 77764\n49798 80643\n35800 97027\n51891 73122\n79317 89209\n16786 40880\n48151 53193\n12483 80814\n8512 60515\n71533 89236\n68987 85589\n8754 70734\n12507 94389\n39222 52125\n72575 86842\n89318 98177\n7844 96449\n78991 94839\n26958 97519\n23378 43864\n58791 74710\n60313 95480\n15834 33449\n71641 71900\n87284 99120\n44883 72420\n7772 30624\n37331 46221\n18828 61345\n3961 51209\n10166 42477\n7120 96634\n43532 48216\n33506 70921\n10655 96780\n15131 56213\n19864 74270\n28340 41754\n93471 95416\n30263 61197\n2902 92117\n13900 91715\n40756 93740\n26080 47068\n80371 97147\n62153 85219\n69423 76912\n31051 36062\n39329 49862\n66168 93283\n8346 47939\n37651 77850\n19546 73460\n9490 83710\n479 24423\n30948 98157\n10411 73595\n18562 86893\n47419 79797\n38110 77099\n67142 98972\n50733 57885\n41956 69352\n55064 74981\n59493 88275\n64867 81780\n7294 55595\n15881 75045\n23994 83601\n38710 46895\n7303 42393\n4334 91003\n44362 45392\n29829 49052\n11461 48768\n34266 47014\n8723 72067\n67186 95293\n53592 98683\n30652 37811\n91728 93414\n4549 62622\n37597 51078\n45007 65483\n24598 66378\n26828 27831\n72496 95480\n3962 90965\n39463 83457\n65842 74135\n59140 91325\n55737 75113\n83481 85750\n52671 77961\n23881 42386\n49984 68833\n27002 56720\n89 19950\n1460 85829\n26715 76471\n49679 63193\n2703 92430\n51186 74859\n17154 78232\n18930 86305\n17559 18752\n32690 92689\n4654 27261\n86172 95335\n8574 13663\n16998 30557\n23662 89745\n20197 64906\n30122 59225\n33341 92375\n21977 28401\n9070 76192\n35834 42104\n28759 82379\n600 94511\n55011 80414\n30049 55009\n11308 87120\n27022 81100\n12929 71966\n68591 86870\n5593 24229\n80831 84752\n10393 98818\n2105 27361\n20541 47075\n27098 30659\n7375 51052\n12733 56626\n84350 93330\n40442 45223\n55495 77717\n38038 61663\n19188 36415\n20792 85051\n63612 91878\n52033 70007\n93016 94884\n70522 96345\n32593 86280\n10196 21823\n27509 75869\n29789 67855\n48455 94232\n46523 74658\n12463 79367\n4278 96717\n30833 65393\n33260 59657\n49687 92752\n39544 42947\n1547 70315\n1294 48842\n42287 46424\n63520 88991\n44392 46606\n21436 82350\n45786 50202\n11823 98158\n69401 97958\n1466 52886\n5872 30138\n38000 56243\n43579 84660\n41943 86803\n92848 97524\n29777 98818\n41771 99316\n29717 87399\n59622 84568\n45388 93139\n39654 76488\n36671 38954\n41681 86113\n81302 94371\n37504 74387\n12375 84485\n48263 99667\n56128 67254\n24801 65544\n50436 83461\n5964 81026\n91098 99101\n39073 91616\n71051 88375\n75195 94775\n53036 69428\n7241 96832\n2699 63161\n20023 71407\n285 10958\n79741 91358\n31928 96047\n46314 71571\n42453 68132\n52055 68052\n59297 71895\n15557 29241\n35375 88226\n42445 85416\n21177 56968\n45553 63766\n6980 45938\n52665 96071\n7138 74410\n28144 88821\n15594 98951\n69249 75461\n37905 51252\n3519 55714\n54383 59697\n34349 50475\n3496 74843\n71832 90597\n62666 67089\n35291 45728\n58898 66022\n17029 58547\n7209 67797\n47649 87548\n38978 61154\n13787 56063\n41512 86358\n33791 60836\n2095 49296\n15805 22148\n36918 87682\n4901 42501\n28732 38025\n47467 85482\n41721 86486\n31287 60679\n6535 22243\n65344 82359\n68861 91989\n34084 64211\n16036 29321\n11007 32875\n19037 96626\n9977 49615\n40471 69409\n26320 45461\n14888 69250\n16268 68840\n61486 66140\n70061 92306\n49065 81830\n15208 55087\n11152 28182\n12429 13830\n4722 27060\n58404 72217\n79041 93596\n13626 97790\n4599 59463\n92150 95207\n8266 70955\n9333 81588\n69934 76253\n21778 81207\n6061 35906\n55692 77232\n16827 69753\n32918 52784\n13881 75292\n44255 79893\n15994 98210\n2841 60182\n75730 94881\n60324 79200\n31854 40506\n16990 53190\n3608 6307\n58196 76911\n32496 41420\n54322 95453\n47788 77510\n15316 45652\n56382 89482\n46080 70923\n42128 49722\n23256 58197\n58313 92673\n5551 97146\n13576 36811\n19943 83227\n56317 80452\n12025 31558\n11432 36503\n20774 26838\n58059 79514\n28587 84234\n33743 78261\n43484 56282\n10579 10993\n50699 94680\n33042 45531\n14428 44078\n1649 52265\n10292 57709\n9147 61770\n12637 98729\n7658 73627\n26522 51732\n56410 66582\n14592 34670\n23920 55834\n20766 58614\n6227 31012\n4690 53632\n30511 96247\n20330 98516\n4553 69487\n10662 59079\n6976 59843\n57221 82672\n37009 97661\n9044 11806\n6650 87389\n85399 97940\n11921 43902\n6454 76201\n38895 97561\n28701 86745\n16340 30935\n18114 27009\n3573 81492\n39030 59090\n51301 86273\n67439 84039\n23974 30397\n41743 44538\n24619 97037\n71399 72375\n5505 50345\n55265 59901\n20369 76404\n20515 57048\n11767 15136\n70946 77381\n53446 65186\n47549 55673\n39705 77293\n40112 95218\n51866 57156\n69329 95913\n47877 70023\n5041 21598\n29356 57633\n39162 49058\n3902 39199\n15506 40112\n49313 93868\n56458 61007\n19505 49837\n191 83472\n24008 73478\n38818 51750\n30990 71722\n8987 43282\n25268 52060\n26679 91193\n9415 84997\n21767 80055\n71829 75238\n75957 82557\n21054 96310\n36032 36163\n18113 38810\n40975 54900\n25720 88842\n51471 65247\n28005 43583\n40512 57391\n48087 77698\n80192 90982\n91499 98446\n6180 48674\n18411 63476\n13631 46977\n3428 89036\n26033 74235\n15403 75201\n25373 39719\n32300 43615\n6739 77139\n42978 60414\n50156 58777\n27989 60464\n2701 61206\n75996 94755\n43934 68182\n8453 60944\n23798 44354\n32262 38837\n34403 71521\n25197 87960\n38948 49583\n47434 50790\n49491 56974\n24170 52537\n91215 94612\n26969 39975\n36644 69603\n32297 93916\n499 10567\n32352 72436\n70711 95203\n5996 55338\n60501 80361\n3927 4479\n89595 92707\n19186 44707\n43356 52680\n25824 52769\n50638 65187\n7825 43526\n15722 84837\n24334 81614\n36500 45092\n22794 86324\n11524 88175\n11234 77784\n53033 96953\n21927 95265\n7181 69235\n47817 51131\n41936 57115\n96668 98507\n34304 61668\n83210 97865\n3449 63022\n17450 99191\n16018 33355\n30184 82481\n29745 85112\n72796 81247\n64782 92714\n54447 74048\n3357 23120\n9775 26870\n45933 94613\n13245 79116\n1137 95493\n55110 79678\n35863 80885\n19685 58116\n66481 77916\n3583 54035\n43467 56641\n12830 81052\n13073 44361\n41104 68732\n62413 90378\n51533 66878\n560 50588\n14120 34320\n28201 69626\n43420 60646\n22549 36250\n66928 94232\n73741 84250\n62189 73992\n77523 85649\n28630 73359\n69497 82467\n47238 67030\n48282 64406\n38620 57706\n28721 92321\n40211 73244\n27703 74156\n33241 76648\n61265 68136\n39430 74039\n12784 35527\n33344 59827\n47018 75106\n26247 46139\n34449 79114\n27351 80601\n58273 90622\n13373 48956\n13065 96423\n89104 94553\n24642 49378\n75966 95796\n45071 56693\n5334 8602\n66987 75953\n64845 71684\n12562 56463\n22242 33022\n51487 59226\n55016 90127\n1088 68162\n75084 97418\n49416 60829\n95980 99863\n2511 9136\n59744 70941\n52177 91926\n73025 98584\n57990 82785\n28731 91474\n38344 84540\n26870 87266\n23524 51767\n76866 81838\n17506 77457\n21045 70851\n31836 55620\n62210 92826\n6666 46381\n30255 47921\n41392 81772\n53613 82141\n53017 80480\n30869 87088\n14645 73487\n16607 44385\n68101 99697\n16372 97108\n4958 86074\n59146 59998\n23686 97586\n1322 74379\n2969 22838\n21035 42347\n24003 97874\n17435 81156\n13994 67153\n69566 72252\n12939 91762\n9475 61961\n16643 83465\n57601 77640\n26993 27154\n54798 78535\n6693 55554\n19296 33982\n23938 94280\n32406 74241\n72317 90888\n52869 95593\n41939 69160\n26642 86903\n52557 54419\n48766 79169\n18024 53943\n4353 30844\n14267 44957\n61835 98211\n6785 13722\n13859 79286\n55003 71953\n40295 67136\n15282 30372\n30950 84105\n12110 43163\n10427 62267\n62218 75278\n63324 88623\n69897 86834\n58490 86391\n12602 74552\n89414 89806\n5217 82357\n19444 36800\n51786 97601\n20176 93643\n23152 93999\n44701 71792\n34425 93510\n28545 33820\n31367 78797\n54137 76756\n25553 85008\n15234 63858\n240 98961\n10205 76423\n8800 28422\n60235 92587\n18428 71593\n2836 33774\n44108 55341\n16896 55155\n86057 96114\n23102 26504\n8905 55513\n88070 88403\n45649 81075\n73166 93210\n20120 39836\n1653 7517\n50329 93316\n70013 84955\n2178 83249\n5571 64444\n18410 50687\n58877 66188\n780 24921\n24167 34407\n19574 81868\n12178 59797\n3907 39846\n10168 43549\n5173 24892\n60356 65951\n12922 13882\n19081 67272\n16820 44505\n7090 44589\n17913 55042\n36351 41035\n49099 94188\n1949 97255\n31098 54690\n43437 45178\n86023 97810\n47422 61254\n37475 46093\n377 36919\n2151 64988\n31037 96930\n11887 49307\n93927 94772\n31012 55274\n36580 74672\n816 72386\n53415 68199\n16132 53078\n23275 59274\n65618 95871\n7807 93825\n35087 84243\n33661 68836\n69320 89569\n10824 34199\n46589 83222\n50415 86851\n13353 77831\n44334 49674\n5477 85252\n6354 82792\n13834 19919\n19021 72972\n61826 89858\n44876 92707\n44513 64431\n47870 91237\n73310 93794\n24917 98587\n25737 87103\n57461 83700\n35608 66404\n72715 88768\n70536 97842\n2972 16454\n14301 82847\n7928 33001\n24888 32342\n37276 44571\n3555 94053\n56225 82212\n80711 86349\n1908 73930\n36629 58245\n17877 88826\n2149 49349\n9020 94952\n8286 39986\n33114 62743\n50273 79437\n88321 97124\n54573 67342\n29175 94960\n35571 55198\n33181 65860\n70227 84626\n71275 71316\n26464 46818\n41408 98152\n45465 56363\n49070 86112\n32306 83611\n19523 45994\n5079 48260\n12415 92898\n23797 61399\n77768 81386\n58349 59041\n39188 83089\n29009 73723\n29700 81884\n12131 50575\n71595 77527\n22083 99653\n53009 86162\n11595 98054\n14566 79066\n73938 75598\n70789 92658\n20206 49112\n33164 47222\n19081 62372\n10408 98895\n8078 41340\n70418 82774\n4120 16463\n7759 78378\n1155 62066\n40812 56476\n44498 93678\n22448 39108\n29758 56424\n7490 25003\n15547 72463\n5875 64651\n61876 88714\n6488 54280\n689 55341\n22485 48177\n41450 91607\n28079 75756\n61952 92476\n60990 90049\n34827 98573\n13526 74013\n12460 14386\n5841 46417\n57888 78912\n7206 82000\n25808 76514\n74008 87590\n81572 96912\n45 6610\n17139 49924\n87 12465\n68637 77005\n37282 70187\n23821 57567\n14579 44193\n7473 49473\n10217 47625\n14927 42292\n24641 80405\n52574 83485\n42212 60577\n55675 98397\n45347 63842\n13890 35382\n37389 51714\n63042 73644\n50551 66709\n1427 18221\n18150 21294\n53649 84122\n69766 94453\n18539 92697\n7051 47472\n11653 75191\n19721 22192\n4702 10390\n16061 28482\n3882 46986\n1469 57127\n41827 78391\n27640 76954\n25391 72859\n26440 86840\n44282 74942\n35824 52195\n23441 93179\n65752 67481\n3073 58785\n36938 62286\n1343 4894\n41825 46675\n63664 91519\n68389 98853\n2052 48223\n26646 54143\n11216 64313\n3567 8126\n11143 49248\n86500 98528\n11956 94862\n26055 85044\n14288 29458\n37255 89396\n9844 86507\n48352 85530\n48293 55563\n79930 83654\n38044 40855\n28280 29141\n4964 29574\n11579 87654\n14216 43093\n23086 81875\n20820 79088\n11146 89020\n44274 88112\n16067 47746\n46149 74950\n7976 68080\n11392 68585\n20401 61555\n36460 38111\n3775 18219\n39109 52536\n36187 57499\n41034 41748\n41537 89671\n49385 60400\n58870 61786\n20023 45912\n56929 65674\n21631 45089\n4286 53435\n62113 83922\n14051 68087\n81884 86774\n81215 98202\n30621 51101\n21252 65214\n37013 73199\n19179 29283\n7589 83879\n31771 73538\n37611 73933\n13149 66621\n32911 49139\n11346 11930\n11697 90239\n2699 33248\n545 34010\n788 35106\n1737 97111\n58561 82468\n28182 46171\n16194 47225\n5667 37358\n22428 92284\n91564 94693\n9391 46900\n12360 69180\n16191 48784\n21164 25556\n21303 45241\n3395 72421\n37530 81909\n10037 62461\n304 83673\n74549 90573\n47367 54322\n19856 30473\n19625 68094\n20032 83202\n36048 63470\n71918 91010\n79232 85877\n55059 90343\n59270 93028\n68157 92157\n24462 68757\n60460 94895\n20572 65831\n14029 64322\n26081 35365\n45761 78558\n68678 97386\n55044 82909\n4399 11770\n73188 94259\n90501 95717\n10608 95620\n45361 78243\n78805 81130\n86942 96822\n64691 95251\n14208 72171\n72063 81286\n40922 65325\n10959 95887\n19019 70007\n41008 64196\n36248 62779\n5242 31401\n25945 97708\n60837 98244\n80506 96983\n30475 83138\n37905 57573\n48259 55152\n62908 88900\n4360 49120\n63894 76279\n95945 97049\n16677 41195\n35686 48651\n38315 81826\n86997 97053\n19858 99024\n7279 37580\n54066 54840\n34081 54615\n6254 22832\n34220 94757\n17944 39847\n28368 88653\n88627 91974\n16678 90381\n43036 65522\n72163 81519\n21544 46397\n25840 29904\n10149 70961\n3914 97011\n83962 97382\n36249 71817\n67627 98656\n14896 66817\n14439 22082\n18516 29013\n75289 86052\n20314 68791\n3924 8155\n6360 61817\n18019 87834\n52527 99552\n5903 12010\n47362 98155\n39633 75066\n64292 85693\n46361 97874\n45735 98416\n49825 53783\n46393 56367\n59197 78162\n16586 57823\n4177 79815\n49902 89332\n60604 93491\n23711 66201\n8817 77439\n16292 69379\n87292 96324\n59488 62874\n38283 80182\n70424 85755\n59352 82850\n58553 99075\n77685 80651\n38967 44146\n82559 86691\n8969 94155\n57203 97522\n1844 45460\n14394 72401\n6819 71842\n41353 61720\n42098 68072\n40094 56190\n76505 78167\n46417 91049\n19991 87416\n24018 63926\n28942 67395\n86236 98693\n994 36097\n59081 88902\n14252 22489\n6155 83324\n43395 52021\n75236 98092\n42943 65412\n85551 96743\n48693 88903\n44621 96814\n26482 40581\n81576 98825\n38153 51983\n4686 73344\n22830 75702\n41694 53990\n86662 93162\n43805 66300\n17592 92633\n49292 77123\n44324 46325\n6289 22009\n42595 45104\n26574 32755\n53290 63603\n22722 67527\n90542 97411\n71115 79046\n8109 16571\n38315 93011\n21711 29357\n67849 87942\n44588 97989\n32921 37842\n8780 70083\n58034 85662\n7664 73528\n29367 31533\n6121 91117\n3242 83207\n40265 57768\n32137 65770\n26949 93426\n43587 65787\n14672 74309\n12118 83806\n39494 97540\n27364 86207\n39047 97859\n52062 81566\n39403 39991\n4691 88941\n37778 52838\n9875 74558\n18445 79433\n72793 84373\n42269 52688\n3951 68042\n28241 67119\n32528 76273\n64442 89108\n16319 97260\n42789 45171\n58560 90534\n17449 97683\n21647 94661\n8069 29685\n56166 91608\n18428 68811\n45888 94766\n25700 92758\n2757 79420\n63314 82513\n4907 18470\n47451 85256\n26615 59895\n24010 86019\n33321 66990\n19376 71221\n33077 48505\n71053 74795\n3194 79183\n71402 85980\n35973 67875\n67919 90487\n78259 98337\n65132 67542\n49053 94460\n23530 55020\n11045 85897\n55397 87751\n27601 54599\n13700 52665\n54673 77829\n53451 62992\n26915 51925\n32095 33618\n38600 76147\n13177 89909\n15260 27177\n25333 63441\n69664 77285\n28739 39992\n29123 62868\n45196 56086\n64937 70154\n44128 95280\n48983 60458\n6355 87161\n7085 76208\n21703 31093\n6075 28751\n94514 94916\n56115 70286\n57734 87254\n6913 75400\n38103 39460\n40264 82935\n41541 99264\n38892 98442\n88278 91257\n24060 69458\n5061 85505\n5216 36662\n7690 69990\n57890 91602\n7123 21913\n6087 35402\n13909 39270\n3198 67649\n34765 68088\n47175 64974\n46317 47026\n27238 45208\n4708 17732\n54276 54663\n30774 87216\n13402 82183\n43971 62568\n50448 62753\n66619 83475\n34669 37376\n52848 98942\n71835 99237\n74785 76369\n53574 70922\n73057 82643\n58608 79300\n33571 80165\n1700 80293\n8455 71492\n39642 48482\n38961 86787\n49324 74734\n29312 92440\n5265 6140\n2612 34738\n37937 93287\n45311 64564\n12422 98007\n2291 71580\n24486 32516\n8292 51107\n67686 69093\n43566 83283\n36329 94373\n69098 83503\n39732 86514\n41028 52745\n47163 88152\n18796 45061\n22764 57799\n7867 85027\n31489 48718\n12296 91091\n9878 40144\n55537 63718\n73366 78687\n43080 89226\n24968 35128\n22856 86651\n13179 33758\n7283 77314\n26055 54780\n24192 83143\n75185 77825\n20916 94376\n17463 95118\n19328 58051\n42698 51929\n56851 65212\n167 71483\n47751 71917\n49568 79874\n23066 28412\n12823 82135\n14091 67316\n40865 88019\n6547 22286\n2878 38381\n63021 79720\n46353 66512\n8338 88155\n23989 24033\n74287 83086\n74012 88724\n779 75524\n65895 73060\n17225 70850\n82220 92305\n19409 77623\n9465 52883\n89829 90951\n22711 46604\n20784 95568\n43293 87585\n19411 75006\n22157 35098\n11967 21154\n2720 53765\n33190 70214\n74162 92331\n70723 80264\n28036 72944\n40760 55736\n48308 79081\n53055 75275\n63879 69651\n877 94971\n40933 80271\n1749 26677\n19857 30601\n68568 72932\n27012 84976\n76194 80257\n74764 95148\n25071 58240\n47777 86097\n45151 60484\n89247 95209\n67590 87372\n12289 14987\n12273 40375\n1192 2663\n40911 82706\n24988 57856\n3085 36211\n3656 97239\n87023 92545\n61546 83665\n2080 4666\n44114 99378\n38521 89133\n44033 87065\n21731 56005\n8258 23201\n5896 9505\n24313 33699\n28560 46497\n15798 44782\n19038 21077\n51931 54262\n6698 22110\n53901 74295\n37507 80304\n402 21378\n6224 95586\n82850 88998\n51570 92134\n7884 28674\n54794 60077\n99 40403\n93711 94073\n37856 81560\n50979 58312\n36314 91965\n57071 77719\n943 19212\n37464 78421\n34296 50795\n94809 97249\n3869 85511\n6443 14172\n40088 49822\n88172 95981\n38947 57634\n54938 75222\n1467 79290\n25988 49689\n75609 87316\n37308 95782\n6938 23607\n19768 87253\n7017 14802\n12277 31524\n25290 84644\n43452 45978\n29130 58838\n40203 78256\n18091 96641\n82363 99123\n51968 83133\n47529 98920\n21043 56879\n17587 66597\n32468 56480\n56558 66996\n64750 87833\n3603 91633\n52873 73676\n39955 93983\n3939 33884\n2554 61286\n40277 47230\n25102 83017\n50133 70981\n72339 94232\n2332 92108\n18237 26905\n12154 38322\n11262 15763\n34608 76409\n41439 48038\n53163 93423\n39138 51446\n20540 42437\n28082 47255\n12253 85996\n71846 80109\n40022 74464\n38788 92246\n43437 60219\n53350 96928\n56338 63794\n5246 30690\n69038 73840\n62202 94235\n14650 80628\n29023 66139\n61244 93601\n12976 87900\n36361 56628\n10480 48479\n35105 49249\n52723 71629\n42522 60668\n59598 79746\n38872 81074\n26335 41564\n40986 81805\n12516 40553\n70017 89672\n38998 94138\n61685 80898\n64229 73832\n3538 15629\n33920 98088\n49314 66348\n7421 38327\n4080 88431\n16702 39341\n2345 23332\n2672 32725\n1310 56643\n32008 94061\n56691 61451\n46752 68289\n49966 80224\n41859 66994\n77790 94701\n93816 97279\n30324 88842\n11280 49983\n85856 93655\n2775 87643\n10749 73150\n32837 79455\n58947 88349\n66870 69441\n17512 19008\n4465 15939\n43568 76323\n7084 12490\n8270 25586\n16725 31965\n14567 90510\n12731 27010\n20096 72298\n74052 76117\n36954 64709\n6092 16919\n27399 94980\n52665 55356\n22610 90619\n59552 98513\n84972 96009\n1441 67711\n49985 81917\n199 86921\n49509 79561\n37254 53705\n1144 99699\n38552 50451\n39655 72436\n43588 80198\n49401 55691\n68866 71097\n2554 60237\n491 83869\n15212 18655\n4025 60491\n1904 74285\n23418 57976\n19363 90568\n25871 83941\n8763 99168\n63357 94385\n24839 95667\n18237 47639\n8043 67531\n32025 80881\n43523 59903\n30288 36232\n55193 78403\n14557 98140\n82391 95953\n47172 75947\n1486 72067\n28566 76725\n5242 20004\n7750 58173\n21842 37199\n83518 97103\n19134 49507\n56253 88562\n12229 39930\n26304 73174\n45251 67494\n64062 85357\n31496 38687\n16993 41368\n57739 60914\n49098 54427\n38138 91170\n17029 91285\n2445 44080\n44225 70735\n14966 75642\n35242 94717\n45848 58463\n51610 65510\n33875 81360\n52441 88803\n46009 50633\n11865 86534\n2415 45115\n46034 84437\n90247 92879\n31325 86176\n75457 88924\n53417 78904\n37011 47154\n2076 15830\n3129 74966\n30113 72176\n71748 92419\n27789 34007\n14434 27219\n13715 98035\n3541 47112\n2409 13579\n76395 97279\n10598 74162\n7815 72101\n21780 79108\n60411 70875\n11745 33104\n60347 87146\n86936 95589\n37999 53652\n72181 86957\n8952 75525\n632 88365\n23696 80363\n34241 73497\n31609 78739\n57996 64570\n3635 48709\n51670 97594\n10369 94760\n55324 94434\n63359 78154\n10122 65930\n12418 76242\n38090 72730\n16799 90049\n13777 45017\n43688 45844\n6017 22884\n23332 46817\n10373 98100\n23140 88669\n34858 85036\n36408 62262\n88107 91604\n73211 79376\n81292 84724\n30273 92527\n65605 66395\n36408 38593\n10302 53777\n55109 85611\n13667 17736\n47866 80955\n47177 76161\n17628 94177\n10323 18000\n65582 70708\n34949 66969\n38043 96314\n67989 73757\n14020 78614\n7980 64696\n8796 83981\n46950 50077\n55382 81893\n43234 95569\n1245 40470\n53566 86632\n13458 48794\n17270 94904\n20331 55202\n8681 53092\n52947 89765\n39026 64705\n23746 35207\n77937 95354\n23251 92544\n87271 94431\n49849 86856\n8406 50329\n23075 90588\n18475 32527\n82092 86618\n10289 96444\n29876 75986\n5279 21896\n79887 85224\n72888 89050\n566 59637\n27501 73661\n60896 64865\n9570 57381\n63687 87693\n75576 92800\n28614 70327\n12042 23289\n17879 72040\n17157 86919\n20616 80578\n65923 76586\n29891 86707\n54590 91238\n5438 88060\n38629 94263\n64627 65291\n5560 92460\n22274 89177\n48086 49534\n12776 68905\n1441 75064\n46650 80693\n12917 30284\n47841 97153\n21482 24178\n45609 58431\n77788 93734\n9018 11783\n74166 91810\n36184 84058\n23541 90483\n24803 36835\n50069 55245\n5711 42908\n31149 35287\n7468 52929\n54894 80407\n15177 70649\n2269 68421\n34962 44096\n19471 66910\n71876 73160\n4716 99504\n2061 12136\n59553 71545\n22269 49975\n33518 64811\n31639 81659\n50196 94072\n6139 82430\n15203 87336\n632 36052\n70764 95826\n11141 49717\n13189 94218\n6156 44795\n34310 41170\n32910 36416\n36398 84907\n8604 28577\n66847 92478\n28682 76427\n32203 66667\n9418 54990\n8701 87938\n30361 62871\n43646 91845\n8750 76233\n12919 27158\n13521 35867\n8080 48045\n40191 79431\n19994 98179\n86204 89462\n50692 65265\n25373 79978\n31888 39968\n10212 91134\n26068 75397\n30308 43152\n21966 34621\n71459 77054\n11218 96704\n5123 78577\n6907 29391\n1785 79763\n16210 24489\n11651 45135\n17533 76842\n75780 87720\n21882 52148\n32483 76925\n20160 49398\n36594 41818\n22516 66237\n3345 94674\n23224 32317\n8854 45457\n1355 76552\n47506 51509\n36298 60137\n39588 63225\n54616 85842\n4830 45143\n6847 96319\n31413 43626\n36974 55292\n4370 31813\n26490 81892\n53149 70165\n46183 88133\n16001 19311\n7098 57130\n9002 39312\n39154 72325\n26810 52701\n20775 86270\n14006 54111\n30827 36012\n22172 26067\n3229 46695\n60004 86461\n56821 70974\n40149 96862\n7600 47298\n12979 36220\n41775 65194\n30239 44654\n17249 49157\n21544 42326\n61621 75718\n9173 60558\n9214 89686\n40544 76050\n13362 55412\n5124 81720\n4656 38548\n20924 81410\n86522 92490\n5412 22603\n42961 97415\n5064 38094\n51835 51906\n6925 50315\n41025 53740\n35996 41220\n10817 40155\n21141 38833\n48364 95107\n17853 93860\n1734 57195\n72756 82592\n55306 78830\n13406 23634\n17214 53794\n69397 92274\n57743 92480\n34956 67670\n16669 78220\n49498 51216\n49544 81154\n8376 11891\n2320 64734\n4139 61896\n63371 80787\n52605 91045\n39086 64478\n12945 46856\n30468 71022\n53945 72284\n23257 59947\n39034 87555\n38333 82742\n32959 38099\n48337 53370\n40693 94740\n52780 62554\n78021 79807\n15552 93531\n37629 74826\n29880 71109\n17872 82489\n3676 44759\n10309 54706\n19738 53842\n3366 74021\n37739 81648\n9219 97742\n14611 98393\n36885 76399\n60827 75033\n3533 47343\n11618 73539\n27288 50460\n13271 76372\n11268 36437\n34943 78252\n8848 87705\n66693 90019\n41805 53922\n17269 27680\n26215 28891\n37865 96208\n41785 45300\n26263 82685\n7666 44907\n39143 82155\n37593 83888\n49954 95822\n89462 90660\n25948 28838\n66766 99173\n15979 83519\n2620 9844\n66566 85466\n40894 65941\n597 9849\n18619 32359\n17168 67747\n56195 94669\n63180 78810\n7105 62073\n66381 83721\n49978 79035\n16443 99303\n62024 96695\n27083 66755\n40758 41050\n6949 84917\n27694 71075\n39672 64799\n36427 75644\n17221 36749\n18097 23393\n1221 21684\n65267 76616\n12862 83500\n1935 87419\n79170 81014\n24133 46246\n46 17876\n42365 95414\n46200 65875\n19235 58770\n7377 81747\n33704 39540\n32952 55864\n66054 78298\n63823 92717\n36790 56110\n337 83705\n28344 66152\n17549 22363\n381 4755\n16226 21789\n33100 34929\n22903 53792\n4916 98269\n16357 84770\n63807 70102\n4516 68487\n27747 76633\n40904 49165\n15159 95892\n10927 76131\n34581 99628\n41742 91475\n26341 35715\n11825 78877\n10521 64152\n42902 72721\n37855 48386\n57912 63140\n18493 93898\n5633 45975\n3007 95765\n33259 68109\n26996 69882\n7041 57258\n19141 44817\n21757 25783\n31685 66985\n41515 44942\n37450 63629\n40558 82876\n21437 58301\n38307 92395\n30712 38851\n4138 80187\n47882 67081\n1312 37220\n4776 11364\n22185 28597\n2888 14055\n23725 91738\n15211 35712\n8769 17215\n91476 94812\n54827 97311\n8491 54739\n24037 74000\n66980 71577\n81722 82826\n40235 61045\n84614 96058\n40600 86189\n17195 19598\n26899 43238\n24926 76792\n38715 64191\n8083 50194\n19689 56669\n79526 81601\n37923 82569\n10999 84924\n20121 45017\n38883 61308\n43045 71351\n27228 81070\n16572 77830\n2174 84114\n8179 97091\n64760 83184\n5163 54659\n34815 68797\n922 23765\n50114 85550\n44293 54433\n66331 89589\n60539 67723\n31217 52654\n57813 99426\n72589 84361\n3532 30431\n11462 99866\n85402 86123\n14850 31071\n13635 50341\n23116 91496\n24943 27512\n4843 45563\n32447 63554\n32989 81626\n59294 98084\n33777 98356\n31034 80327\n62405 97682\n60054 65552\n41085 79462\n27699 51149\n71981 96235\n38509 48521\n33009 54015\n43297 93451\n32136 43520\n57155 58969\n3 72782\n14555 40516\n29220 96246\n1253 88738\n563 40779\n11704 39954\n44251 62637\n3461 85584\n23772 29757\n51881 99043\n72129 96619\n13853 94391\n9011 62521\n19573 76254\n2234 12942\n5360 19147\n71290 91859\n35837 79707\n16738 82067\n58038 75091\n9615 26401\n31987 93241\n78323 88734\n73521 80869\n20830 95641\n70383 88404\n27914 34746\n16908 39839\n72456 88418\n58900 93381\n20748 53679\n27328 48200\n24401 91709\n22732 24978\n33505 69034\n54858 82497\n75513 92078\n71193 77858\n35020 45444\n67280 96231\n10811 78855\n24771 99468\n75 19425\n18845 37252\n27877 88292\n6717 34467\n45904 84952\n25108 53073\n41127 53999\n49995 67946\n56260 93313\n22380 65561\n5617 20450\n26268 62772\n42703 49349\n84937 91605\n1655 96294\n82620 91786\n40855 81668\n48400 65395\n70525 86304\n81799 86343\n31576 43415\n16936 81901\n6801 77379\n5925 46455\n58058 65166\n58477 89790\n9204 73233\n43494 82987\n13137 48894\n2748 87037\n13253 49378\n16096 27883\n29035 56046\n46331 63104\n21476 53057\n38482 60984\n33528 83916\n48116 87428\n88555 97546\n3545 34102\n24309 40451\n37908 64095\n27439 59380\n61280 92774\n35909 77460\n79829 98422\n24301 60057\n6204 49552\n86178 93400\n58226 98109\n83230 94187\n36455 51530\n51997 66793\n43840 83687\n1255 47327\n44400 54799\n3350 85361\n10973 81391\n9762 76879\n28413 75237\n8036 48462\n18549 92808\n66776 98181\n14507 41426\n56374 99408\n37361 78286\n1145 57698\n23863 48419\n10951 68945\n33572 97540\n27622 42179\n7005 76326\n4109 9060\n32675 58402\n61617 66513\n52427 60233\n41774 63727\n56466 91435\n71651 97143\n6036 25577\n33057 33070\n53201 80445\n62676 95190\n66569 71724\n47146 87765\n18050 27884\n47192 70346\n80503 83004\n48883 97622\n44694 45743\n29940 68079\n4560 33694\n30403 61020\n6061 51924\n67861 72016\n15517 61250\n4173 90269\n53692 78387\n36488 66658\n23125 93469\n51788 56241\n1122 14812\n53823 91442\n16519 54667\n9537 32149\n57748 73806\n10128 38726\n22476 93206\n37360 51647\n15615 66214\n51378 91198\n4051 36980\n73420 99265\n8199 81185\n20038 97752\n7914 42982\n40117 54151\n45042 48060\n17651 44996\n13557 62721\n83339 84202\n1147 20118\n51387 69593\n11661 30228\n47371 89041\n38046 88417\n26914 45022\n33333 46260\n40589 53453\n21600 84738\n50360 93988\n66947 73682\n50416 64792\n49598 66036\n17152 64259\n31055 35780\n2115 20567\n79522 88234\n3047 32160\n2651 48296\n26767 65266\n1846 54671\n36449 38378\n25602 60187\n40669 59707\n46503 80470\n2968 67841\n33005 34802\n39407 84913\n14328 37149\n36677 92289\n63129 68878\n45245 67961\n165 29379\n2190 22372\n65422 86680\n40429 46357\n18645 39125\n43179 70410\n40058 59825\n27252 70662\n45922 99231\n10784 88511\n48998 68836\n25298 93385\n55130 84434\n30678 36480\n68241 79532\n59150 98998\n29007 96366\n7056 19976\n18732 28300\n13771 32899\n6410 88603\n11490 68892\n25438 96447\n66110 95490\n65331 99867\n17425 68997\n78542 92673\n5915 19204\n48925 69664\n26291 96745\n48955 80522\n11886 91543\n41160 75073\n55192 76448\n43310 96452\n85167 85213\n84442 93132\n50726 65839\n50625 77904\n14324 43508\n50417 98252\n2986 6474\n3278 38177\n30029 53303\n8292 19852\n21554 86607\n7303 87708\n48027 56038\n84367 95605\n25278 85502\n17850 75007\n36518 68601\n7381 27533\n70999 91182\n2243 95404\n29255 48190\n18101 86325\n1793 57184\n35274 57617\n32944 93218\n24842 88193\n14184 83876\n14826 38580\n14659 26464\n8740 22954\n86515 87968\n24839 95912\n17232 67533\n24762 71140\n18131 20001\n9198 36858\n31983 40445\n44695 91346\n55825 62737\n41794 50083\n79875 97169\n32958 90502\n36211 95070\n7786 40604\n77543 94114\n32094 98238\n7544 48691\n494 59767\n29397 98263\n74232 76938\n15462 53657\n1514 41319\n81747 99965\n49864 95110\n45141 62245\n11555 73073\n77731 86826\n16212 38236\n12494 33790\n54896 54935\n82008 87421\n15924 89576\n21254 67443\n6103 63584\n53507 74654\n87680 93548\n15955 49539\n2686 30598\n4870 85726\n30327 30828\n1628 84135\n37437 84647\n69216 91149\n5625 93690\n45229 82240\n9210 18701\n44865 64742\n22731 39876\n38874 81088\n26368 39061\n31433 58467\n15930 20096\n6367 82380\n52660 72900\n36777 97778\n2488 22345\n19761 68403\n4526 37641\n24329 56604\n28507 77583\n32263 55444\n51651 60689\n44014 86641\n59414 76197\n24 21478\n66925 76072\n5338 33259\n53759 63401\n42546 76333\n30451 89149\n21639 58834\n26687 83925\n69214 88408\n3300 88728\n16257 24463\n64543 88016\n11033 83167\n9807 11141\n1425 51287\n33689 84907\n42323 76466\n6271 63104\n39990 81009\n32975 89848\n10378 34702\n18588 98341\n59531 71154\n1539 2593\n17441 37261\n46705 98063\n83695 92251\n2536 6076\n9336 66521\n25365 99469\n34198 61619\n7256 46000\n84583 91635\n45664 64778\n48912 72690\n64473 91276\n16598 58749\n43489 54579\n18673 61476\n5393 49313\n82727 94541\n18095 40135\n15903 48209\n3371 4534\n75416 88568\n6869 66445\n5872 77908\n70566 91882\n2046 27503\n39839 61245\n13211 45737\n10343 11930\n699 11933\n61387 68125\n21855 84724\n21909 49149\n21091 68037\n49668 73108\n19393 97280\n60728 97965\n60503 69358\n471 98192\n56806 69668\n29349 32688\n50733 90936\n37582 56468\n47041 65046\n25424 51413\n85210 99019\n53340 74314\n16993 61056\n59912 68904\n4236 70063\n6092 64655\n88094 96322\n7046 45431\n74996 89875\n20961 60721\n13155 23538\n26588 69523\n6649 46148\n33946 34782\n10457 98925\n276 62959\n44595 70513\n12442 69619\n36764 75234\n36469 39022\n11211 23458\n16263 49624\n11924 88527\n32202 52385\n24733 41567\n9413 41906\n35025 59122\n29893 95497\n16171 88122\n15817 34652\n7962 92213\n12312 17855\n27985 57376\n63202 76836\n27506 52716\n8164 80578\n39849 48077\n18755 19021\n23452 47664\n25591 87711\n2571 9095\n3149 74863\n15466 28363\n23345 90100\n3270 39401\n69585 93795\n37949 85136\n5759 54663\n21151 68446\n48978 63928\n31479 80232\n72536 77843\n60977 92913\n74283 74645\n38746 68445\n39109 82471\n38224 44977\n88364 96081\n24817 68568\n46983 69377\n28394 97673\n33861 45103\n78850 95554\n6317 7639\n62127 92480\n20566 87046\n32789 60018\n2311 3805\n25953 63365\n49016 59869\n2620 89763\n24300 80591\n11473 23099\n30426 31364\n72562 93328\n67785 72514\n54233 73292\n49250 57228\n11940 23755\n61876 78374\n32355 45016\n45875 55843\n6727 66193\n4163 34556\n41038 44639\n65075 65572\n34573 86179\n53493 91640\n34383 47945\n6289 95657\n46522 91361\n44321 73495\n60732 89277\n58583 66543\n32617 83822\n44324 93859\n22088 72967\n38853 59185\n11752 34653\n24083 87645\n41543 51093\n47635 64940\n14858 84076\n15144 98932\n71867 99292\n27582 77377\n17747 78162\n38483 75623\n7923 8442\n26724 37440\n85769 99262\n92907 99856\n36961 94100\n64767 88860\n28876 80183\n25212 39410\n85555 91817\n22248 56946\n13504 47463\n14020 49241\n17298 86331\n6807 91733\n36379 86103\n46520 54704\n14627 79383\n95447 99539\n53769 96612\n4496 98433\n2552 74645\n43102 85235\n5591 41997\n35550 41158\n16004 75609\n74402 96964\n1967 92036\n7787 35628\n18926 45067\n7389 51234\n40497 72215\n68842 79806\n73044 74168\n59677 92713\n55683 95449\n70935 82719\n59831 72997\n32639 86760\n59544 88752\n19352 74368\n38277 81936\n79059 88336\n24067 45819\n52136 61984\n34253 93194\n31895 58500\n184 61615\n44910 60938\n48573 67710\n92229 97144\n11506 90148\n25537 27186\n42204 77512\n39497 85174\n42198 93992\n47184 79179\n50939 74852\n28884 72932\n31740 59338\n75778 95642\n25800 68765\n14076 88408\n61045 64469\n10587 44064\n45063 45842\n12801 20374\n55531 91377\n88878 93441\n28356 92704\n9781 13359\n80104 96592\n7892 96249\n15364 78535\n74402 89838\n70549 76007\n19747 93771\n82522 96172\n40207 44390\n57966 74714\n49484 69146\n45526 75358\n87572 91151\n54119 79921\n4914 63441\n14066 32126\n72436 89855\n14632 88075\n24825 61957\n15645 20902\n945 81779\n6957 37589\n21992 25737\n9907 38035\n3311 77221\n6439 12536\n45313 94162\n20636 61807\n240 53474\n76602 87401\n83249 86507\n13226 55670\n24721 62226\n81276 98656\n51092 81423\n45934 74026\n38544 91856\n16339 53570\n11892 61507\n27029 28494\n31679 79368\n25250 31440\n25718 84057\n25452 95270\n11581 95297\n19706 97183\n7046 74415\n43919 61406\n28742 54581\n38911 73020\n41973 45355\n22652 93335\n15291 73726\n40460 67847\n67340 90129\n52262 85605\n76777 96506\n5319 8862\n1456 26819\n46610 99628\n9679 56758\n7463 81013\n60293 95586\n7775 36972\n85982 92388\n23487 60303\n21210 51824\n32796 84943\n39494 46075\n6965 61845\n51631 54008\n74284 87739\n4879 27831\n85227 86041\n38295 88322\n88313 99599\n5083 19701\n70700 76022\n3528 35238\n18507 52967\n15200 15449\n13312 80902\n32281 39112\n49033 84080\n23442 26965\n49959 98505\n5977 8423\n45802 46274\n22277 93118\n60288 80874\n34249 86579\n49827 52637\n14706 87193\n59131 64082\n57227 71339\n15749 76123\n40317 67619\n51920 79357\n59938 87076\n329 89264\n44820 64035\n87946 95607\n923 77611\n38193 58959\n39874 87524\n24652 73331\n43353 88186\n55844 80775\n183 48529\n81525 92626\n32884 41249\n87189 91597\n79259 80734\n40952 57658\n7920 19562\n67967 73598\n9765 60814\n53968 88152\n41410 95446\n47958 61513\n21966 35763\n4880 54010\n2995 45774\n20270 96658\n35461 84176\n23350 44464\n37935 48983\n21709 87788\n39859 45321\n29759 68632\n38886 79219\n385 30169\n27878 79007\n7586 12271\n82134 93156\n52269 63487\n42294 56250\n39018 69048\n48028 52636\n41259 88103\n39319 47848\n57721 85670\n55083 87257\n3945 63255\n48737 72784\n16163 81619\n41638 80751\n9133 9402\n49979 91605\n32929 86565\n56924 82077\n49910 52520\n2399 5696\n29967 80918\n25048 75838\n1009 45778\n64539 70347\n31500 38661\n3466 65845\n20191 28379\n45116 66341\n47930 72704\n10590 76305\n54749 97816\n6044 73448\n4843 83691\n8425 55835\n61510 84394\n62542 90454\n54729 69331\n15008 55356\n52065 74487\n69544 98043\n25699 76967\n36985 43229\n1415 17587\n58738 98498\n53679 70521\n11131 76245\n11561 68180\n31037 36286\n32403 98147\n9429 75198\n19694 30872\n59710 81060\n60950 94873\n2373 76295\n38368 38405\n71338 80093\n27848 82805\n25088 56377\n13248 90943\n54308 96105\n7016 53270\n54688 80639\n34423 76920\n9945 37674\n71832 77095\n69449 83505\n65955 98563\n27075 66787\n53411 70316\n24745 86273\n11278 37594\n49202 52612\n38408 71176\n24419 33768\n7939 85150\n15289 76554\n11573 43295\n20301 33293\n54336 76043\n89957 93782\n27449 54540\n60600 91986\n98508 99307\n92137 98430\n16318 20923\n34910 61727\n40855 99391\n73985 80187\n15674 85762\n34092 36655\n50877 86540\n53863 89875\n26727 81559\n604 57293\n85772 94045\n9566 47043\n3234 39925\n81987 94432\n58635 85456\n15022 83281\n5052 16705\n67064 93717\n10044 52058\n68838 93934\n28249 94145\n19983 49000\n4231 56585\n4670 71936\n67547 86288\n15092 55149\n45788 69598\n75871 78274\n31118 99232\n69001 75035\n22208 27923\n25044 85796\n48128 60852\n2498 94661\n53128 59933\n38870 61645\n22287 66615\n55181 94096\n7493 67681\n55322 97130\n56393 96935\n2696 33649\n53368 62601\n6066 11943\n45234 61472\n73481 78310\n20404 68778\n48538 65863\n17480 22793\n42949 70300\n33738 36223\n90304 93073\n27822 83271\n14827 31215\n20366 82872\n69434 78752\n63957 72383\n23236 55603\n21564 25610\n36511 93598\n16382 69715\n55609 63261\n18751 76973\n13964 51736\n2204 32013\n24993 54872\n53438 91390\n41140 46095\n34709 48296\n20480 96795\n30340 81783\n39392 43047\n28424 64475\n20195 77985\n62724 79901\n304 48485\n57879 59806\n80572 91050\n8568 28692\n40702 79885\n10675 37452\n11247 41505\n30302 52570\n28018 50473\n78929 90025\n7059 58433\n398 8609\n50128 92324\n58834 92108\n25684 28104\n27850 52176\n65271 84207\n8339 51673\n28311 90349\n71236 79045\n6589 53214\n32454 88321\n20821 70272\n11831 35226\n12083 13250\n17967 74625\n72195 95385\n56249 76269\n1763 81825\n69948 97970\n73851 91773\n48097 64458\n17743 80929\n14330 59381\n6596 68919\n30013 59871\n23787 72122\n76204 79544\n66213 74325\n20339 46247\n57134 98177\n18898 62575\n10887 74431\n16187 44660\n48675 55558\n23006 34342\n25373 51099\n56626 69313\n960 17738\n29986 89046\n60079 89790\n1326 27462\n61659 83007\n11571 95247\n13327 81027\n62464 99513\n16890 34598\n32102 36121\n26125 57913\n57948 78283\n8650 58510\n2188 42206\n9237 72849\n87106 94239\n38225 45228\n36045 38515\n4383 52506\n67701 67702\n50492 61042\n88941 93925\n15017 69667\n51986 69667\n23671 25887\n11410 45780\n36088 43724\n3552 86529\n33201 38030\n28973 35326\n75487 97462\n11690 12172\n24721 47898\n25190 51271\n27934 78292\n4417 21079\n38870 84069\n24379 90615\n3676 63365\n69280 86506\n29834 84351\n35016 35193\n15526 20677\n7668 83943\n22009 40538\n58099 60704\n48077 93173\n6812 82060\n33034 91353\n32036 41363\n40073 92379\n30272 35664\n49367 81275\n21554 62905\n31524 82928\n46414 86721\n6094 28039\n19327 85984\n23513 84136\n39296 68798\n21609 65846\n28804 67344\n17298 86991\n49960 89678\n42481 50594\n13808 71270\n2519 62506\n8202 51779\n1219 46719\n1049 72519\n61484 92396\n30065 45385\n32807 37988\n33534 61168\n9845 85422\n36330 98376\n7677 45233\n9661 47767\n22289 24858\n31161 75667\n54709 90405\n42665 49846\n49816 68456\n735 56768\n51433 84747\n38204 95643\n3209 80549\n74125 80053\n24170 44257\n50634 65723\n38435 93638\n36995 65129\n63587 75154\n1681 59425\n1498 25706\n12585 90355\n33647 34815\n3120 49127\n41737 73763\n34650 75852\n55505 67662\n61401 89174\n29687 97489\n4562 64097\n26302 55520\n16798 34277\n46370 94211\n44613 73193\n47304 80409\n6147 62879\n34878 62828\n11803 75938\n19155 46908\n9636 92838\n50199 76834\n15663 51154\n40878 70011\n65468 94801\n25277 95158\n9402 45095\n7775 60906\n55970 70678\n12680 83756\n15602 30452\n32374 66765\n19043 97096\n33979 57424\n36935 81798\n2546 67962\n21203 68989\n20828 71981\n58927 66868\n61653 67953\n51812 60327\n30754 34617\n38026 55832\n13541 33149\n57935 63812\n29645 88614\n33150 37516\n83891 96303\n75829 81916\n31301 85723\n32612 63884\n47710 54798\n91341 96083\n18330 20827\n7550 78860\n54259 67558\n7120 32233\n44691 61134\n7021 97192\n28849 68487\n26093 67267\n53617 92526\n22064 45750\n45956 84639\n23662 44973\n22418 35230\n17396 70283\n68660 71895\n75811 98371\n49072 99463\n27217 88955\n2630 29006\n50786 67101\n8266 45920\n71419 86946\n32601 63626\n32548 40961\n60769 67289\n61179 82521\n184 96949\n46100 89354\n7886 56121\n3432 68091\n5601 56487\n26694 44616\n43765 85102\n2662 36396\n17495 52511\n18374 53125\n56727 74818\n11517 50235\n10645 48156\n8524 96782\n64137 93635\n6626 16869\n42738 43029\n1849 30425\n4749 24412\n66176 78932\n28387 77010\n33136 75087\n4235 13221\n60328 79777\n10838 77982\n22010 30747\n46582 68105\n2946 36591\n53379 65110\n3369 64069\n21053 56586\n31738 72718\n44332 50471\n13857 43836\n43467 54430\n68310 75630\n5718 93578\n35698 73978\n85628 95916\n1988 98613\n62578 85161\n59154 81844\n340 85710\n3361 36109\n79899 92547\n82287 93303\n90704 93894\n75857 98428\n76429 98711\n32569 86145\n33837 56083\n68022 69461\n19616 79173\n11530 36418\n20375 68994\n25535 49533\n28178 79596\n19369 72258\n3985 73812\n28192 57713\n9808 45207\n29114 82372\n22438 67523\n31704 99904\n13459 44909\n45523 47391\n1245 82169\n29194 37061\n8827 24239\n32957 80279\n81842 94305\n46204 86611\n88379 91564\n41063 50039\n55201 91181\n40428 85889\n31257 65897\n28721 45922\n77846 92605\n7107 16494\n21017 85124\n11546 72884\n27457 96788\n72327 84186\n32241 40021\n11084 29397\n65796 97958\n7490 20137\n71963 79103\n61577 80436\n15864 43476\n191 57491\n19802 95696\n42009 89045\n5370 15803\n33931 86464\n3293 54127\n75255 83683\n17507 61739\n61595 80689\n36483 89314\n5255 62826\n44036 65529\n31511 53770\n4433 76997\n10931 42999\n13768 71776\n25945 45315\n43229 57784\n76211 79433\n1908 19772\n14243 24329\n63857 65823\n43822 67290\n2783 91112\n46091 79737\n83683 99286\n23354 76001\n10290 53848\n37153 55608\n29278 92655\n70460 88857\n49103 74030\n8142 17099\n14550 50560\n9907 99197\n31109 39660\n14658 63523\n49127 88775\n55286 71687\n57228 67685\n46921 80564\n41412 54054\n34188 98079\n23687 87924\n38929 42895\n7565 12192\n33044 98903\n30518 50068\n6656 88541\n40076 79913\n38697 46120\n80509 98135\n34074 39713\n41474 50588\n57042 93993\n57793 92386\n39460 48575\n5673 67328\n26213 80372\n46437 92298\n22285 22631\n2492 89597\n10469 61363\n38462 48782\n62707 91630\n49409 59568\n24804 41122\n9404 77349\n2079 58545\n17008 17855\n666 73158\n40711 92132\n13265 98161\n9254 40204\n27940 96564\n56177 82602\n25695 29178\n13018 86562\n22630 58138\n31207 82695\n59948 65353\n34023 56543\n26556 30135\n57114 76954\n4863 31246\n8409 10861\n45829 47681\n51163 82070\n65607 96513\n86050 88805\n32921 67520\n4533 67790\n39680 91985\n28887 37179\n12373 26279\n15052 84616\n68480 81073\n5780 30256\n41566 68413\n7441 80688\n54501 74862\n67839 76801\n42058 88743\n44019 52928\n37112 84680\n98652 98918\n2822 46608\n28388 94770\n27365 73262\n7872 28558\n6268 74411\n30682 70992\n50479 86566\n4573 14832\n67596 99676\n37210 47024\n6505 72178\n61620 89732\n47067 51664\n43120 86984\n84140 94207\n32542 60930\n3566 93211\n36007 46047\n58882 98679\n66320 69495\n10343 88210\n50734 66037\n17126 46360\n3071 37403\n39521 46432\n6857 72328\n13259 94298\n13045 17533\n38056 65711\n7425 60863\n29936 49305\n11775 23585\n39318 65434\n57635 96717\n36147 41809\n40798 80678\n81278 94337\n1920 89907\n31023 35022\n29379 36139\n36557 89669\n24823 33158\n10755 94277\n9871 44720\n71096 82815\n50211 70778\n96635 97883\n33518 67049\n71563 83113\n6139 61719\n847 1493\n33359 38068\n24570 43441\n36641 97855\n3841 54525\n6866 55144\n7928 42783\n2025 61978\n43819 58894\n45509 51185\n33627 62913\n91424 99447\n10845 40234\n56565 78831\n17329 32393\n92068 94157\n28052 99283\n57852 86129\n41762 87297\n75873 80251\n60 55783\n1659 23694\n34946 70177\n66992 97523\n17851 65955\n2327 84105\n5574 64120\n28685 49404\n5896 94010\n34556 78591\n53278 71139\n22230 41727\n25469 85379\n27120 29857\n56279 93190\n9932 68172\n316 19799\n64665 94804\n8801 56848\n33971 45602\n4158 28894\n6372 48407\n1184 25849\n19650 23673\n79290 99629\n63402 97810\n49693 84689\n94301 97802\n43534 80450\n65349 91107\n73788 81098\n15982 69463\n59294 70119\n69039 94208\n5515 87694\n57410 75037\n31407 77117\n23066 38258\n41756 52136\n52169 53429\n30150 49094\n48392 92532\n64610 80720\n12673 94079\n6076 50951\n12873 59339\n56907 85050\n52775 57093\n54085 96193\n13285 71883\n18768 36679\n5024 34748\n12839 67470\n16472 41461\n27541 86446\n60530 93693\n25379 67860\n53429 75208\n21239 75213\n41712 97572\n19343 32982\n73082 82181\n23706 32825\n2499 88319\n28897 92812\n8726 83283\n47941 81025\n78682 99400\n48149 49115\n40639 50663\n27372 70697\n8272 54265\n49467 91126\n31989 77115\n46881 99384\n49579 95497\n32424 42022\n32457 40587\n43977 96073\n4353 36191\n39053 41649\n95782 99539\n22764 48555\n70660 73245\n44521 44947\n30261 58637\n42450 49944\n30567 61412\n9331 41622\n75971 98335\n6130 82071\n58494 93821\n8405 12349\n14184 90238\n10735 50446\n20129 52291\n20225 52546\n25584 41575\n12816 17825\n14274 79263\n5715 94340\n43186 89678\n39084 77324\n29736 48196\n71201 94598\n2163 8913\n7911 80306\n29626 74606\n94529 97498\n78353 89567\n28992 72934\n42144 73321\n51799 79116\n45190 77822\n46303 53021\n9110 19678\n35442 58576\n20648 58185\n49530 66234\n30470 63171\n22409 27314\n4420 34232\n48300 65638\n22550 36724\n38677 77032\n52180 71840\n70256 80340\n34488 68649\n29184 93104\n55562 62698\n34610 82005\n40581 50650\n16904 51701\n1674 23081\n6838 62412\n43753 73098\n49710 61953\n16111 43393\n13336 30427\n15076 82305\n15487 22425\n38538 58727\n16925 64271\n31143 69107\n65795 68014\n72005 73628\n67627 77916\n10071 14968\n32560 62978\n32966 44354\n40108 59591\n86137 97237\n79756 83953\n44432 62032\n49328 65182\n47078 79909\n13048 45746\n4534 47771\n77399 81686\n53464 88835\n36089 42172\n44959 58752\n19854 50148\n10979 84531\n27226 90944\n17517 34373\n11282 81840\n11492 13066\n53817 66660\n28883 69210\n20227 59500\n2133 92450\n32194 94400\n4686 90686\n87526 95172\n41624 60198\n27992 77920\n23741 31272\n12680 38728\n5389 51223\n58656 67398\n38330 58329\n67489 95689\n13580 95872\n40519 60356\n18262 96785\n45042 87181\n477 80069\n1491 5322\n4485 47347\n9893 82746\n6476 43792\n10630 39776\n59528 90549\n15649 34056\n1889 5027\n11533 28678\n48790 55615\n11883 80643\n19890 54322\n29814 85613\n18254 81560\n42050 59013\n27589 96400\n8185 74722\n22837 23076\n34822 89107\n36272 51790\n52504 84852\n52978 67122\n16786 58733\n37828 50147\n11508 94657\n23448 68945\n25677 79534\n17843 38376\n56847 58058\n19865 82131\n34849 84214\n9333 21331\n44373 87428\n20531 36101\n4921 82075\n301 30547\n19089 26921\n48653 94460\n12779 19423\n1551 26855\n63233 84312\n13179 39384\n20608 67752\n7778 20955\n40590 45860\n12622 44586\n22697 57797\n48854 53720\n28783 61782\n16339 18020\n15505 63223\n5928 16412\n11042 76547\n2922 98486\n12419 37587\n29811 41765\n48248 77995\n16215 74841\n49489 60038\n35557 63254\n3258 79134\n8956 67349\n42134 73125\n16789 34992\n62970 88375\n17720 68740\n384 57272\n48974 94859\n2743 70761\n19033 22874\n10957 45327\n13201 93000\n25389 64395\n79649 85355\n16582 71826\n4605 8706\n9866 18893\n55297 57446\n6342 83874\n1448 59602\n45384 94351\n88439 91909\n56115 64863\n8106 47124\n14753 94251\n33646 83361\n16977 42915\n23202 39158\n32723 71996\n32860 52254\n31135 56046\n18663 48120\n63717 84095\n27813 66818\n25209 68654\n19825 99809\n69934 78772\n37354 95323\n19551 97236\n16209 44874\n8178 39411\n253 13272\n49963 52665\n12605 45282\n25874 60106\n61441 67915\n23843 94430\n12498 15462\n48886 58800\n17510 20912\n80512 91082\n15055 48622\n51346 67303\n47556 66318\n12896 16103\n7445 33572\n4641 80986\n7670 56652\n67644 99554\n38244 79847\n4618 74664\n5275 13470\n8881 84960\n47576 91423\n12271 51870\n6537 50108\n26435 37504\n7542 17658\n9575 95247\n4106 64592\n31625 67126\n56526 81817\n53275 86023\n71467 99947\n32306 73028\n14984 86366\n12801 87928\n50903 83216\n27048 75797\n61676 78965\n14444 88284\n3232 95192\n46701 98009\n3289 21375\n17865 26007\n10045 12571\n57545 88425\n32519 69294\n9486 22498\n8194 11191\n39542 49044\n54972 90213\n12665 73390\n49114 74574\n25408 55435\n18450 59255\n45519 84461\n84046 94506\n4822 6847\n14749 94788\n9094 66405\n17444 78762\n60922 70376\n9084 64884\n63093 86307\n16369 69903\n55366 92316\n19463 94733\n59939 60669\n32054 68450\n51426 70218\n1324 7617\n48833 62445\n64597 82379\n25554 90455\n66404 85840\n48021 50409\n43750 75953\n6731 46819\n8505 21760\n7175 8134\n43219 52087\n78800 85909\n34384 41010\n22317 24219\n35427 50674\n9956 91647\n70447 80444\n6366 82181\n54556 76887\n32025 75789\n20416 58312\n59908 64024\n41249 46868\n16778 89624\n65125 83347\n37742 69192\n10321 12991\n4843 10041\n41229 52896\n6248 25278\n66931 69061\n65100 75195\n18761 70487\n13941 31972\n34357 50212\n77233 81179\n9824 17504\n7881 14471\n33814 58593\n9112 75368\n8223 24757\n48540 53565\n11781 44413\n29248 52731\n25264 99438\n70923 92892\n67613 75476\n6352 42844\n8706 27407\n17053 64660\n3454 28302\n42612 59931\n19783 68209\n30186 54190\n40636 64588\n47733 98194\n41420 44333\n67271 93267\n25218 25595\n31135 53924\n2537 77846\n6621 97569\n31239 67138\n33260 50384\n64318 73188\n10500 23930\n42317 98917\n28480 75126\n25741 43707\n39329 40472\n34921 85846\n12807 92236\n57725 60518\n8836 89292\n66703 79970\n20449 26674\n66088 66855\n19944 80868\n31195 43078\n33749 40558\n39604 42265\n59363 72964\n26313 35738\n63856 99475\n6556 21305\n44341 73456\n26599 51391\n1404 37143\n42919 87853\n10729 10898\n5161 29565\n28210 68625\n37244 37769\n9217 42015\n97343 99768\n24896 92814\n40424 75878\n4279 6809\n2797 49774\n21951 44634\n4584 15371\n64872 83537\n25122 69388\n8914 62237\n10534 40833\n29057 72791\n24992 36110\n19224 50560\n87624 97026\n55992 67016\n30999 96318\n501 5845\n43971 67087\n43269 79219\n17269 36954\n20947 55847\n1452 29059\n19982 23574\n25766 41316\n65109 72906\n6645 90753\n21578 23513\n2711 95840\n65734 84953\n12220 42030\n63737 70765\n20290 96464\n26387 79257\n17158 23276\n12760 78229\n3204 12234\n25325 40599\n6361 36683\n56044 61097\n62179 81231\n2116 4308\n50617 51437\n17029 35688\n22640 74801\n29728 69917\n50587 74981\n68952 84032\n32267 70629\n30920 65098\n30007 94239\n21638 48613\n21308 99845\n64588 78325\n8895 31810\n30267 58174\n85458 90650\n42852 65143\n28495 30131\n6789 7994\n18288 67430\n68988 90984\n615 29030\n24532 58940\n88076 92905\n50386 87868\n71556 81428\n18825 54929\n80196 81959\n7773 85303\n72110 78405\n57202 67339\n43642 83930\n44502 99996\n31652 39569\n58407 84600\n4110 6429\n34883 60113\n22094 76160\n24807 59773\n13987 46144\n75020 75232\n46394 80045\n24854 99932\n87444 90759\n53883 91986\n27445 75690\n20368 21917\n42713 49827\n31848 76922\n53833 93274\n51186 80821\n19233 62288\n65317 71964\n24041 78962\n42978 77528\n42479 86291\n18891 28297\n77418 84011\n43746 66743\n1583 19816\n82116 90869\n11009 18862\n92012 94683\n24334 92104\n16434 70761\n36102 92229\n20039 59821\n24298 57086\n41095 78997\n51054 58247\n27188 72920\n5058 68426\n2715 75009\n26404 43146\n28579 47279\n63012 92847\n44940 67287\n69049 96691\n76223 83915\n43174 55895\n1021 96752\n6298 86717\n3643 70006\n57986 74988\n62253 79353\n355 20464\n20940 27891\n31286 53701\n23765 41039\n33740 97754\n41082 43299\n30456 89495\n30629 46784\n24086 39465\n78471 84088\n9731 51564\n7362 44279\n67972 95445\n17177 91715\n50800 82831\n30000 39929\n15693 85999\n68542 71515\n55644 92349\n91373 91495\n45869 97759\n42304 73533\n23795 86616\n15329 68889\n80819 98385\n50634 87233\n4252 43728\n577 65280\n27954 35372\n8247 50570\n6764 72493\n41342 80868\n15363 74498\n4587 77145\n104 63756\n12888 22764\n65244 85119\n30581 47523\n70742 83792\n10795 17690\n5183 63033\n33423 77880\n7261 21209\n68303 95218\n24585 26888\n25465 28539\n1697 81026\n7468 86136\n59027 96254\n26884 94912\n68828 75743\n21770 38857\n52996 78100\n30791 45454\n27165 41986\n26346 84944\n28039 66438\n24710 93212\n38603 42661\n57139 70800\n20688 22682\n11018 49218\n35786 39533\n65845 72566\n3986 45553\n32538 88072\n38629 56816\n44563 72630\n72122 82844\n59579 94099\n3769 46788\n10948 90718\n61513 89269\n58158 87196\n5556 32729\n17795 31927\n3544 9109\n9843 70861\n54743 89022\n83176 90176\n32557 67003\n13792 27253\n17758 29498\n4056 48686\n29271 84958\n47530 60206\n25399 68475\n21551 30086\n26041 62516\n51605 87900\n12022 86516\n31467 68935\n3148 84493\n55640 61020\n1471 43951\n60119 83913\n48927 49833\n28804 84684\n569 4566\n2716 42680\n47500 55372\n42894 58456\n6839 88931\n8454 48557\n43165 88044\n35444 44108\n38331 41557\n60963 96437\n51864 79486\n42379 68653\n3714 19722\n70881 76011\n9600 50275\n30420 65731\n41856 73062\n8458 68214\n64169 82070\n32398 91232\n26728 50958\n32361 54138\n37045 66501\n43329 93771\n13735 19967\n27013 29398\n66891 90762\n31448 35042\n38189 98586\n36491 70223\n14089 95705\n39757 67117\n43425 94962\n50764 93134\n50359 71794\n52773 86257\n54534 58714\n51397 93866\n11836 83738\n71011 76244\n36247 66433\n2506 53432\n66642 88491\n27372 57429\n14196 46934\n6654 7801\n28171 55127\n21313 34630\n30556 56812\n12369 36502\n22941 32241\n17307 94830\n18792 45981\n58493 58893\n22908 49606\n7641 76083\n29480 79246\n48709 76706\n8689 49757\n19418 41625\n45503 95681\n5080 68349\n68894 90566\n48136 53718\n45469 66574\n19432 45963\n74504 77556\n17694 48827\n86653 91447\n50135 69462\n3562 26729\n66371 74636\n24565 56181\n2311 62078\n38860 52965\n44918 53987\n23933 40657\n75754 87212\n12960 91862\n21002 23699\n50912 69134\n38269 57062\n27985 64658\n42494 75009\n4465 7324\n15274 71681\n81751 88130\n28147 45428\n72841 90235\n59379 66214\n55299 88444\n5712 73914\n20955 46425\n26041 62297\n11227 50217\n38854 57617\n32984 34474\n84176 97565\n52838 97945\n1777 38112\n2201 49737\n23855 32657\n77047 82643\n32237 77922\n55169 66776\n2910 99812\n26238 45008\n47598 76553\n6136 36062\n12640 61022\n11986 22168\n40356 68087\n61343 89419\n48080 58053\n22949 49190\n50756 67011\n61166 71674\n49698 78992\n23480 57797\n30713 61393\n4857 59322\n41 18591\n10576 63683\n9080 50845\n18568 84848\n54172 70484\n64701 71216\n23561 62604\n42379 79354\n17680 26687\n19507 61901\n76910 99407\n10 38462\n52262 88746\n60453 97781\n63722 88054\n27348 46559\n17434 93352\n20163 98893\n2584 16255\n57 1366\n25744 66569\n61027 63688\n4688 78459\n7776 47495\n40096 60103\n10323 94156\n25597 90654\n2574 50561\n6577 41348\n36429 60822\n44313 61913\n58775 70206\n38292 82035\n370 23961\n31195 55467\n9078 48524\n49083 77511\n50192 62605\n20854 40377\n8639 42061\n51366 85851\n21563 22402\n27615 56846\n18647 46821\n13870 66480\n61839 62755\n81201 93478\n35140 65979\n49595 73456\n33267 33787\n47055 91650\n27059 45616\n51233 77053\n48165 72737\n43674 44237\n78301 99881\n60596 71984\n3555 19326\n12959 91472\n63043 69203\n55678 70110\n13272 47750\n20261 22745\n92766 95680\n98161 99051\n48512 82118\n39048 40526\n42708 84571\n6783 94739\n65038 72344\n18059 75440\n32139 74189\n53982 79662\n7708 22962\n16671 35448\n4984 11994\n15997 91074\n28275 60269\n65089 97135\n38890 64466\n5236 93552\n29281 61356\n20044 94608\n14307 62782\n8804 96677\n22456 41012\n18936 90897\n72491 82736\n19338 94876\n33006 78881\n80411 94147\n18661 96325\n448 47596\n60718 73599\n59276 76754\n86348 97292\n24302 68692\n20110 30481\n22218 25279\n8959 17662\n17538 73354\n16006 19886\n55062 97771\n1358 4948\n70271 84628\n319 38657\n3516 87035\n36679 56749\n4596 21737\n78913 98026\n38910 46078\n55032 80640\n59233 96980\n50810 75452\n3533 79660\n16425 28520\n1523 85054\n30560 43461\n64882 67392\n83749 84239\n53660 97101\n82440 91634\n32463 41534\n52585 73296\n62439 87047\n28061 42597\n741 25202\n10880 53778\n22411 85962\n44955 49534\n143 25773\n13342 68144\n14104 48344\n56123 64414\n52864 76049\n26897 46698\n60591 99387\n66355 79023\n24966 96214\n27135 62584\n91699 95713\n21462 46272\n19837 68101\n1332 5595\n9119 41222\n24130 32458\n60698 86069\n4567 88328\n5363 54489\n25031 83308\n66052 93321\n27018 84862\n48830 88592\n50718 68418\n64783 90520\n69936 76332\n44880 76063\n6525 76542\n72870 81955\n37930 42980\n16026 97409\n50859 60098\n39010 66861\n65889 75836\n19475 36812\n35918 43147\n47973 67821\n6664 77447\n15455 20819\n39531 80700\n41034 82086\n14645 82032\n31849 74558\n2085 69278\n94355 95504\n34690 69202\n32968 80633\n20822 25836\n9688 95746\n72240 77915\n49744 98175\n10114 14049\n70733 95391\n50954 86454\n22767 80607\n13349 56348\n14674 80199\n3130 79342\n3355 22058\n13400 66968\n56558 94118\n8179 42389\n29703 52704\n10071 42037\n3117 63231\n48653 79665\n31649 89696\n53495 56485\n71940 77375\n583 43213\n20625 97177\n30364 70948\n11298 65197\n29836 50982\n44779 52756\n23031 30142\n20296 82188\n48946 60204\n74984 75406\n30094 76376\n12827 25839\n35790 99952\n20833 41797\n19136 86712\n1390 4813\n28139 44787\n61723 66223\n52992 82460\n2391 78994\n3618 22507\n52350 81288\n9393 10885\n45587 56462\n21075 84767\n57600 72835\n26146 66946\n44003 70150\n49766 53239\n2429 33909\n45908 80922\n2363 89434\n5305 76867\n79389 92956\n24802 29999\n9231 10534\n42196 44545\n34864 66797\n38722 70368\n46620 61709\n17923 97742\n49584 63344\n74618 98873\n43750 95520\n86647 91282\n78691 89662\n44770 62622\n51797 58038\n9022 19298\n36009 48097\n5782 74275\n22632 68381\n33268 74931\n36671 85547\n30720 66390\n30993 97992\n3966 70494\n29421 94644\n35691 53385\n36994 77877\n26415 45789\n70517 75455\n29925 53774\n17560 41008\n34569 77648\n58369 96397\n3900 12165\n21680 69057\n42842 46000\n12229 92224\n82646 97999\n45562 91158\n3211 4832\n15455 16976\n24891 46939\n15438 97027\n21220 87029\n7585 71679\n9481 75840\n40130 93443\n13564 70775\n62745 79630\n15973 38265\n80778 93196\n14444 26267\n87516 91394\n35432 80269\n2317 8283\n29125 34518\n53043 74614\n20607 45871\n47539 87341\n68211 85734\n26205 43027\n25288 75280\n32840 96007\n7657 36397\n63159 98554\n15683 68804\n14197 30701\n36101 90224\n27707 45755\n80355 89874\n36653 80996\n45449 46396\n60202 95518\n11257 81950\n4762 88241\n21682 77814\n7275 41866\n22736 87783\n32952 96549\n3600 54492\n22571 59057\n66051 80293\n44179 61618\n20168 94468\n28156 29798\n60174 68323\n74843 97193\n13884 22812\n5616 80090\n45156 64763\n22133 95981\n51941 58784\n19302 23855\n9679 96190\n13208 62338\n50527 64246\n14293 31939\n976 99155\n37176 97249\n46244 62372\n7841 45743\n80308 98399\n3459 53083\n34647 87973\n88929 91919\n35820 87780\n64364 94631\n57280 71254\n21702 68539\n16510 86971\n15302 73218\n28441 49038\n13484 85810\n93782 96187\n25705 48699\n21511 91001\n7046 19133\n53605 93111\n91929 96995\n57935 66741\n45135 79119\n5857 12596\n53151 64263\n41780 54549\n1795 16411\n94620 99584\n18999 24953\n36612 96068\n52797 84534\n15467 87245\n84017 92180\n68666 85508\n85607 87833\n47089 52746\n38497 61481\n33993 59129\n37084 90692\n20266 59676\n63465 69294\n32708 34111\n26950 49838\n15488 52626\n35815 94432\n36740 98936\n32300 34407\n17458 57393\n75701 81162\n49688 93982\n59946 80146\n89229 98376\n35649 65598\n12446 60045\n13088 72822\n35744 50461\n5756 79727\n1772 63335\n6729 73202\n72470 94712\n28531 71651\n21481 74527\n32522 94801\n42168 82158\n16595 45667\n11090 62170\n49096 75714\n24897 96954\n67351 87204\n79949 98590\n58768 67228\n67833 95219\n39501 61676\n49213 93377\n57488 86718\n35810 57049\n56511 63718\n2551 33981\n7115 85559\n5705 16519\n37552 57524\n85731 97875\n12938 62123\n41412 64824\n78775 81151\n19411 80649\n46554 90724\n1508 79856\n17941 19844\n8892 36681\n38693 47886\n2409 25429\n15268 82432\n34158 50451\n17139 55296\n11373 30875\n15232 96643\n606 49269\n23247 87167\n40320 58923\n1030 78191\n44149 56502\n49403 78179\n17957 92891\n27922 38827\n66089 98636\n37372 49834\n1888 48198\n32510 80577\n62008 65045\n60888 88950\n19240 61396\n60444 78777\n18719 71685\n29000 47640\n2031 81366\n14545 35558\n82378 92147\n40695 82675\n52299 65013\n14951 99476\n13490 41049\n52752 64696\n21507 81584\n3759 94692\n5956 76304\n24664 63245\n24702 63424\n28592 94624\n54900 63419\n82387 94368\n8907 29057\n8019 78148\n27313 85511\n4375 81617\n13935 25034\n4024 28131\n53656 95782\n28910 72110\n17351 68429\n3603 26035\n6642 35031\n51331 89114\n18129 54710\n10619 72952\n22901 82976\n13163 58890\n48691 55228\n50869 60847\n7693 39618\n12592 73305\n19444 38871\n4704 79522\n72928 89133\n58559 73632\n68936 97379\n1567 64920\n14648 93503\n10441 16777\n53539 93740\n7265 59744\n66121 71220\n12383 59509\n11793 13883\n14795 89021\n15845 96783\n8970 46247\n7869 93797\n13731 19889\n66004 73101\n40888 46229\n36653 79122\n51972 72204\n40210 55363\n21299 49232\n36660 65819\n26335 62389\n4179 19725\n8679 35287\n23559 63027\n66079 77229\n34630 41107\n56084 80952\n19831 46431\n23321 68872\n23405 84116\n41716 55474\n36271 60598\n45795 47280\n28906 34129\n43531 47451\n20010 62809\n91565 97082\n13811 29786\n54469 78362\n47260 87165\n60779 96001\n48852 86073\n43133 84010\n10034 13352\n62770 81825\n27051 96463\n15361 38777\n16561 93839\n46798 59838\n37088 38598\n38080 46514\n48113 50239\n13317 23370\n54085 61731\n37304 77321\n42027 54403\n9656 98121\n48795 58224\n9432 19181\n6825 97469\n66657 81044\n53592 96640\n17294 37059\n37899 71207\n82235 98462\n57390 94789\n19586 80062\n396 56753\n82660 99338\n35449 99614\n3917 46547\n53044 56396\n74991 80726\n73424 89587\n22914 89047\n29425 64967\n26197 86594\n11487 96691\n6837 75815\n80196 92995\n51027 66275\n13791 89583\n21049 62914\n99513 99610\n46026 80878\n15770 65762\n36613 37317\n25839 80026\n224 57469\n14130 43074\n42920 61238\n26052 80037\n1879 63052\n2710 34915\n58634 86795\n6758 62643\n13619 51779\n78979 99520\n1469 9663\n59741 89516\n60613 73249\n16390 40664\n18174 43652\n21562 97059\n26922 72741\n31128 42684\n33242 57745\n61100 86646\n41561 71506\n9766 17510\n70050 82842\n14253 81806\n20823 41652\n23002 79979\n65625 66298\n79088 93876\n470 78539\n43866 48371\n32611 86710\n41099 90223\n1608 25364\n30044 40162\n87114 87448\n18085 27710\n44362 89321\n38265 57771\n25117 51636\n58266 62630\n43776 94361\n1118 45886\n26617 79322\n52259 52870\n57662 78794\n10200 64823\n72056 97273\n88101 99100\n67922 71873\n11245 50128\n18526 19474\n20913 24337\n4300 24940\n66141 83906\n29447 62860\n28707 35910\n16562 81244\n5867 10132\n3031 91731\n17451 59583\n51640 99877\n19733 93440\n27123 41108\n45318 87378\n10375 36234\n25140 80081\n11552 47033\n30513 83459\n17874 56442\n7114 69336\n43431 93129\n31066 93116\n39849 76532\n45982 58079\n11713 94822\n41832 85651\n70068 93240\n23708 99844\n49227 98620\n8095 80639\n11386 81493\n30708 51420\n35495 91368\n29111 38557\n15036 54917\n32603 82250\n16452 51125\n73383 89249\n13488 49522\n44748 88938\n45355 66697\n34150 41978\n46740 87738\n18262 36258\n26121 88386\n22483 77142\n9955 48447\n43933 82156\n28017 55851\n6977 67076\n5459 49688\n45172 67398\n26024 38793\n76706 99069\n27343 47174\n53998 72904\n38229 68008\n5750 36986\n24262 88301\n628 89561\n5182 28027\n49791 54766\n27352 33026\n34158 76207\n52442 87811\n83551 87514\n44266 89240\n43597 98928\n60707 75205\n36735 83369\n73875 77128\n49167 60443\n4882 32154\n24823 64752\n12237 99945\n1003 75392\n23456 90581\n25101 61871\n55226 86257\n25895 35095\n25903 66121\n18766 67252\n91183 93825\n50768 76376\n6084 27772\n50584 62468\n58426 86907\n15815 22427\n27396 36273\n36617 53458\n36956 94404\n17874 69752\n38311 54991\n19362 68430\n42565 82050\n86549 96674\n6025 75295\n27352 91754\n28252 43891\n39967 92273\n7500 10805\n30976 50286\n51596 74472\n83951 98867\n28648 73193\n8738 54909\n40580 94809\n19798 97709\n4113 27718\n13752 86775\n23664 32947\n57706 58114\n68413 79683\n13698 17444\n16670 29499\n7414 20971\n46848 97098\n52340 67574\n3460 16928\n56989 88093\n92770 96042\n46698 79647\n13103 87275\n71993 81307\n29036 95676\n9665 51117\n16882 90194\n56577 75493\n32238 89929\n7054 67372\n27192 45798\n87597 91956\n12306 28023\n16571 65876\n4205 63983\n58248 70612\n50850 81255\n19819 71322\n905 48886\n69810 81616\n4340 77574\n28630 61527\n6882 91599\n7837 65860\n33508 65800\n2160 83475\n36390 75803\n18098 45469\n4860 79562\n57230 89352\n2507 61924\n44367 46067\n49922 97140\n1571 48567\n15089 71624\n13245 18124\n6459 36705\n45782 66448\n19887 83406\n9389 30988\n35522 39340\n10575 57205\n19192 40914\n7402 95892\n46942 88429\n2181 19971\n35549 90544\n23617 80413\n17125 95822\n36886 73643\n45409 76004\n82013 86949\n83123 86620\n40554 73429\n23797 40153\n59588 97118\n64911 83747\n35065 74008\n32487 93029\n7341 29970\n56394 63900\n30766 72753\n4396 53880\n2734 9545\n38879 73981\n9003 51436\n12330 93519\n55934 70817\n9917 95408\n11367 89551\n20000 24828\n9095 63868\n28424 58229\n19221 27755\n20508 32069\n45441 69648\n39870 74722\n37611 62407\n14929 58163\n16802 76609\n73233 77550\n29255 71386\n69388 70981\n60675 63697\n2481 67553\n39606 59800\n3467 51317\n33338 63215\n21546 57830\n47210 47613\n26230 80519\n16382 90710\n26761 63020\n27607 51895\n11729 39059\n25261 40319\n4970 6889\n6709 34980\n45298 46455\n38136 71018\n13073 17706\n11130 33313\n26955 34459\n5688 14218\n27778 39866\n34848 36563\n3862 46259\n85834 94446\n34431 64077\n23674 57409\n71382 78141\n10608 99154\n19083 20799\n20755 35444\n16906 94202\n10524 14817\n31611 33610\n18943 86428\n28511 66667\n46886 47817\n48860 80038\n19610 97405\n34064 95657\n42229 75264\n23830 34870\n41667 77483\n6972 40183\n63064 95855\n60479 86521\n84335 93611\n25474 69372\n20007 57138\n48497 87548\n37282 89767\n25137 73296\n57154 63639\n24975 40802\n24559 67418\n1377 7522\n52084 82148\n52660 86003\n2752 19698\n37469 43574\n11615 84202\n50982 54340\n6959 83097\n40064 67927\n11405 58433\n9088 95996\n25237 30237\n72566 78856\n16112 24474\n39329 58232\n15515 70553\n12354 23975\n82315 84877\n55590 64582\n45690 86328\n6489 21121\n46122 63889\n66332 85921\n78232 85981\n27917 90212\n819 99730\n22449 60123\n30765 34805\n86715 88964\n8858 36604\n6153 84033\n11532 28019\n15849 68558\n7117 92662\n22756 63935\n46973 93082\n71125 74571\n52290 85167\n45040 61633\n1810 86627\n18537 83580\n6070 9059\n12785 58432\n41558 64263\n86741 96899\n69442 94020\n40004 89800\n22143 60198\n1616 62502\n57162 60131\n5278 76025\n13165 64738\n11999 97803\n42344 62077\n3648 65856\n22020 29071\n81086 89152\n18338 56607\n65180 84991\n26649 78932\n40751 95611\n28293 85196\n35926 79848\n24070 24366\n70518 90410\n3043 86366\n9937 44469\n72112 88423\n85655 95972\n21947 59400\n62381 70843\n43616 80913\n24338 66770\n21458 44605\n2946 92676\n40135 83467\n5807 75991\n51792 80076\n70224 97541\n27663 82334\n18936 98749\n87608 90103\n12600 74825\n72169 80888\n5687 97459\n47669 87235\n2276 52797\n27933 80862\n51608 70721\n49317 52356\n9757 97959\n37491 96598\n84036 93414\n34367 67046\n52878 91850\n61466 71477\n12943 16520\n27879 46114\n35948 74840\n1100 50270\n27122 32920\n78938 88786\n36371 88395\n94028 95169\n17987 60924\n10860 80665\n5487 18423\n32155 66248\n20399 66060\n28482 79373\n18567 25294\n10520 82559\n57076 78971\n19925 80548\n11837 33202\n57951 98115\n20369 22146\n15819 42255\n42988 65767\n29557 80633\n30112 30842\n62774 93233\n54751 93455\n21437 31593\n27797 98386\n46605 78133\n33444 65005\n50518 78830\n74218 90607\n2210 32598\n25503 93392\n31554 40033\n57221 63673\n88725 89243\n4345 80316\n55585 92538\n2063 11907\n44993 52024\n26682 46516\n45738 83349\n25028 38637\n22751 37785\n59485 93335\n43188 76931\n18268 32430\n41796 65652\n11011 64758\n32982 61997\n62176 90999\n58640 93061\n50090 88544\n10814 66130\n26069 54495\n12658 41550\n31598 32732\n38241 42221\n16909 29913\n83356 88266\n30913 42385\n46990 82911\n6426 21751\n1113 77958\n12450 56167\n1726 38944\n8782 10974\n1921 55740\n26982 69880\n59581 68386\n25725 28940\n72288 77843\n25897 62349\n97598 99648\n49704 89555\n48106 58149\n4434 60692\n24974 78891\n23299 74353\n17054 31368\n896 77884\n9803 56769\n15435 53837\n58491 76119\n53631 61349\n15725 77583\n16400 81409\n24045 70562\n27299 60149\n63352 70064\n11179 50165\n53439 71396\n5542 37481\n66612 80763\n44678 73914\n81221 99678\n37237 79906\n8911 53057\n45018 93785\n4888 47565\n53637 81880\n68058 68112\n4326 36321\n5620 23428\n28961 87465\n16693 78247\n30665 76304\n25606 62499\n55872 97325\n9727 14652\n26016 45660\n74788 79275\n65049 93662\n28140 41723\n19834 50948\n3787 46364\n8348 33916\n49384 64841\n447 41503\n12043 88764\n32435 33017\n31672 47399\n20775 31883\n35946 75762\n33716 89133\n57805 83808\n51837 66734\n65396 89939\n2067 73396\n17426 37426\n2022 27073\n40385 92825\n12612 31025\n27421 52502\n83763 86470\n20056 75755\n19813 92136\n35490 52080\n14041 90466\n38300 86493\n32843 43027\n17849 34728\n62657 63704\n20293 73269\n23036 66573\n83971 85705\n6225 29036\n52562 75179\n3059 39491\n43821 55899\n87376 93759\n31310 31781\n44702 71191\n52039 86607\n57723 63990\n21948 89811\n48873 92832\n16803 19477\n35640 90642\n24908 96109\n77888 96287\n15512 46784\n7046 40339\n36233 71897\n20427 48868\n6836 29473\n2873 65573\n25213 32060\n3833 90846\n23614 55459\n4030 35174\n32788 73097\n18003 55842\n41496 85159\n61521 84477\n24368 73760\n4656 64266\n20226 53527\n19462 83994\n32671 81504\n49725 89903\n26362 39640\n8564 49554\n20498 92795\n63417 67012\n15698 93826\n41191 90096\n21261 73282\n32075 89859\n19793 65380\n29381 80067\n82321 88831\n21779 85291\n64550 99231\n64211 82677\n41374 62266\n66047 72079\n1389 97047\n61466 96955\n38812 91499\n92471 93387\n53560 87959\n5159 53720\n85848 86372\n20360 49325\n48457 73193\n4505 15717\n13428 74198\n20594 49822\n21147 29139\n59056 81935\n38536 72277\n31800 82087\n59736 63488\n88688 95423\n32355 34608\n32901 80119\n69876 93415\n1530 87587\n650 81326\n32777 82478\n3103 47461\n5869 16969\n5697 86199\n83183 92176\n36211 67284\n8821 35133\n51485 97509\n4012 76892\n52264 54729\n5919 83266\n10555 47404\n20985 86560\n643 99857\n25026 95339\n3726 90248\n5754 88841\n36376 58133\n34598 59175\n10411 38150\n90916 96017\n84370 94274\n50493 51799\n17219 64761\n21614 81986\n84667 98993\n66880 76439\n44266 63998\n53417 61041\n35956 78827\n52348 75383\n55064 88887\n18699 39622\n29340 35379\n28196 89103\n37227 91781\n52920 76444\n66435 95273\n25988 53031\n55597 60781\n35969 37778\n72682 98962\n18464 86622\n70409 73831\n5582 50519\n13303 70375\n20193 79487\n2281 27122\n16855 86278\n2271 32339\n17132 37665\n18382 96023\n24905 29740\n4603 70583\n32866 95404\n71695 86828\n21728 70422\n69205 97122\n25931 98500\n63457 93496\n12483 96884\n6801 9077\n10576 91431\n44891 72219\n640 1229\n81359 96131\n61819 89562\n38328 63905\n56242 80405\n17558 99011\n48418 69246\n38082 50152\n91624 92550\n27951 66527\n24243 25485\n69035 81695\n58675 75207\n13008 31300\n2276 12418\n9356 86144\n40389 93698\n11812 60509\n32189 66353\n7074 36916\n30038 63245\n13180 21761\n25650 84367\n45478 62793\n15856 33762\n40915 47404\n22732 78402\n4762 14596\n37343 43498\n32295 79950\n4504 8520\n20982 36334\n62035 82701\n7661 39724\n30879 89589\n40058 59364\n5166 34964\n4516 15527\n6960 75946\n3551 28246\n23143 93356\n64292 80452\n67350 89943\n1704 1891\n33471 64533\n50691 55099\n25892 27674\n54522 62110\n50755 67925\n6050 84838\n48850 76119\n16423 95876\n3691 75602\n19763 94537\n32550 81945\n2423 38342\n25162 75842\n30887 44130\n51276 75489\n70317 73108\n9100 77450\n4529 31361\n47600 53045\n2311 67141\n61238 97729\n37627 76480\n24749 31162\n13350 37046\n31102 84212\n43099 91013\n46275 61538\n9997 64144\n70495 88809\n52373 90041\n24091 46049\n16821 99225\n27625 84131\n1587 64324\n25826 54718\n16477 46115\n73671 88279\n14803 14863\n12522 45329\n58350 60778\n7349 72571\n10656 13847\n23128 57733\n29048 72748\n45611 56537\n42262 77853\n75661 97639\n249 16409\n11037 63484\n53144 94391\n69244 83154\n51110 65034\n4871 98945\n77562 99920\n7331 64345\n33316 63098\n1601 21301\n23128 93428\n3580 73845\n43283 50881\n44121 74496\n16010 23623\n7387 69243\n18458 99184\n24808 48289\n11210 51353\n39490 46524\n5065 89758\n35401 56292\n44588 93080\n22965 50331\n4550 5366\n1121 67724\n5455 69260\n11289 54980\n43110 79712\n57405 67441\n13271 40036\n6949 69915\n10480 58381\n2935 44052\n13182 16633\n5775 44409\n67904 88768\n34649 80114\n21036 30362\n30520 62427\n8714 69617\n12596 79124\n10108 28007\n14274 57685\n64193 93237\n24396 79831\n76410 82731\n13768 17798\n16743 64817\n22564 68367\n12119 77240\n5307 28083\n62260 71914\n29874 98052\n34158 72241\n68830 79827\n2568 74789\n2922 69436\n22162 89621\n2502 95074\n4824 73608\n15806 23782\n86332 97153\n29271 45074\n24348 38642\n56029 79958\n30218 32458\n48501 63686\n70858 77947\n59187 73974\n34899 83986\n41517 92168\n37570 66782\n30950 34199\n44376 96242\n30016 94094\n23345 70933\n18733 56555\n2218 64715\n26569 89207\n6560 88641\n20263 77119\n13625 50355\n8965 77926\n35208 63507\n4023 49677\n44608 96880\n69741 88386\n83772 91781\n8848 19553\n43547 53730\n11507 84130\n13648 43386\n21928 28063\n79948 99949\n17174 29923\n34803 67422\n5869 37941\n29474 32051\n821 44276\n12271 45874\n41449 59090\n8685 12066\n69810 83621\n4469 33347\n6495 99655\n35611 57156\n1704 76449\n3536 86306\n20706 60571\n1462 83266\n27577 48793\n68266 92685\n14 9294\n19503 71503\n18777 70343\n37154 99467\n10219 36522\n8434 67053\n61589 94232\n19472 73277\n26264 52461\n36381 46545\n33576 46868\n5621 87493\n40279 73251\n7970 55586\n15277 83820\n24247 40660\n57915 78328\n12391 13754\n70759 75901\n35843 73254\n36994 95325\n68328 81694\n33137 57470\n21885 89304\n51620 94985\n24736 30707\n8541 77273\n5927 73169\n36537 79114\n55965 61053\n10959 69392\n5408 66786\n2930 47403\n32917 43110\n435 97118\n81734 86060\n28508 33968\n14472 91749\n14565 73469\n2763 84166\n9036 30074\n2428 30360\n72556 88104\n30592 47018\n14142 55450\n64346 95219\n50615 56755\n26358 94960\n13648 45508\n11852 20117\n29171 50539\n22251 25407\n3754 72289\n13747 81046\n5252 75290\n19121 52611\n23822 63619\n11097 57106\n11769 87414\n38894 71149\n172 81349\n30762 77959\n85465 87307\n10788 22851\n5799 53814\n26939 27731\n18326 50383\n38945 99416\n17393 20858\n83092 99553\n2894 48473\n68184 85389\n25 58987\n14280 26732\n64057 65546\n16027 36518\n16650 83644\n26608 85329\n95895 99029\n64939 72311\n33480 78590\n7193 91687\n16331 80894\n16111 94389\n26451 62181\n23753 94902\n5934 30729\n12338 99922\n60658 80729\n6160 97091\n49500 54680\n60009 96690\n62559 87772\n56525 77543\n29242 48933\n16834 27044\n8618 80503\n5265 93307\n12699 55457\n45291 89033\n29979 52394\n25361 28592\n56168 93915\n14849 80820\n12758 22020\n16430 48483\n27280 63405\n56825 72397\n1164 61068\n84228 91291\n19943 45896\n25553 82640\n6239 85773\n56041 93739\n43269 63914\n14677 74290\n17838 41306\n6543 31615\n60792 76917\n64182 83519\n52113 75047\n26575 31625\n8335 83635\n15199 50734\n34578 46838\n59390 70181\n7325 53782\n10639 90988\n20247 54433\n31167 94053\n59747 92509\n15755 58325\n34794 51680\n4535 83613\n67059 99771\n67611 99672\n38853 88495\n61324 68947\n5333 77637\n41160 78687\n35417 86282\n26580 53016\n32228 87017\n18348 19773\n41545 86527\n40354 89597\n40567 45129\n48297 62365\n17812 55868\n5554 95636\n42450 78593\n5750 79560\n34042 42281\n46826 70881\n9763 71427\n19278 75959\n40581 43554\n34326 51178\n69714 78260\n25986 99341\n39522 42077\n47128 87684\n76828 91656\n42709 89444\n39374 62543\n14106 67835\n13965 77827\n3484 49398\n45886 92465\n22923 57069\n62630 98969\n49325 84135\n32618 35965\n11657 16170\n70842 76462\n30230 79433\n18136 30933\n82359 90294\n68519 83115\n14081 41884\n5951 82054\n57249 83082\n13128 65094\n27003 72950\n75883 99568\n9520 80329\n25626 45038\n1349 99407\n16092 25721\n19611 50094\n25092 81542\n11260 74524\n59603 75246\n25447 59190\n45393 81201\n175 87317\n48240 72282\n44095 77246\n68298 80049\n20340 53660\n26575 92901\n3700 22328\n61388 99152\n60931 67460\n8202 80912\n35826 83305\n10511 10898\n62753 89036\n2096 31856\n18076 70601\n47641 62464\n22384 43509\n15876 41277\n42721 93478\n79823 91896\n26558 59222\n20359 86448\n32337 56211\n51501 62078\n3993 93653\n3595 6475\n21743 33094\n35184 41434\n8574 99216\n4168 54491\n3471 20930\n30497 90221\n36828 85527\n72381 95141\n33391 56278\n24552 64474\n51690 69161\n61629 75997\n41046 66689\n36319 58827\n22894 31310\n60059 79110\n31400 84062\n17036 31177\n16982 49700\n7864 77836\n25449 71844\n28509 41374\n23102 39012\n29169 94888\n43567 80822\n26174 74059\n5788 26189\n15390 97224\n36801 79779\n13685 92182\n55518 76655\n72731 93316\n44236 86682\n40992 96597\n50104 55375\n68282 72225\n15910 22183\n45897 63986\n68966 96783\n17857 44593\n14998 20944\n43708 98445\n3092 18603\n40158 82560\n32683 42037\n48402 89380\n16097 20228\n30320 60746\n3685 51875\n90864 92284\n48740 82851\n62878 78041\n8801 91648\n74643 83264\n4196 58529\n25688 99079\n20198 48439\n45237 79530\n8849 84759\n10161 43533\n32433 61238\n43312 91485\n60993 80507\n52072 79254\n32871 48557\n71629 78200\n36610 85330\n25205 27756\n27678 34124\n9615 18052\n25600 57165\n16688 57427\n36744 68041\n86145 93478\n65403 70856\n24670 62123\n56417 96910\n58965 74790\n12555 20930\n80216 85034\n40663 64612\n1219 80874\n36961 95830\n25597 60933\n24527 69756\n27880 94708\n13899 58070\n3711 74110\n36897 59309\n16600 94619\n25012 51671\n69253 89162\n30557 83796\n36112 49508\n14702 72643\n4724 55851\n17690 29696\n8 24457\n60724 82985\n47248 86419\n37868 72452\n33745 91870\n38849 85521\n38850 50222\n49814 91373\n23194 66903\n16379 68321\n47914 94630\n52271 75841\n56996 81993\n15510 89711\n4335 39779\n57209 89868\n24841 94345\n57280 69311\n12611 84958\n50618 59576\n24057 24522\n34768 89461\n48247 72140\n34722 83261\n63056 80487\n28107 31649\n48590 59585\n62595 92123\n2874 33652\n74203 87240\n39780 73004\n72612 74620\n99228 99872\n25322 83244\n4148 45143\n15740 88693\n21198 87751\n34116 67941\n58278 76388\n30671 65596\n49243 95259\n60770 84573\n1083 21944\n25802 64406\n26019 62807\n47446 50306\n2557 3425\n5932 38929\n20265 23337\n35296 43173\n20064 31716\n53506 58736\n25548 86338\n34690 38979\n6082 9285\n30946 68129\n18095 99733\n32139 85215\n1554 15374\n37223 61460\n23082 47675\n26716 41081\n37477 87064\n55231 59654\n30281 69623\n14806 64025\n60172 72611\n12163 27611\n34350 88206\n10224 31231\n40792 74493\n8948 33759\n30621 62120\n14053 46810\n70175 76981\n968 53068\n81737 91204\n30374 98300\n27050 47544\n65077 84108\n23392 51208\n58277 97265\n59022 75325\n39051 84917\n14809 49917\n31047 42501\n83073 86808\n14097 31283\n358 52845\n25150 46499\n24060 44039\n28540 66684\n34339 83614\n19241 56585\n22277 69225\n67329 87753\n812 2374\n19903 57563\n13124 40371\n87708 99275\n55016 87372\n2705 77649\n33625 91880\n15368 33628\n4600 60255\n72909 95805\n54117 76782\n23952 32030\n18388 91468\n11874 19331\n44342 44976\n70893 86381\n6567 68337\n6220 28197\n3630 63261\n5886 40754\n58568 69332\n21831 71405\n10407 92210\n36672 91736\n20758 90079\n22413 77356\n10195 98977\n1018 16075\n780 22064\n10852 77288\n1118 60840\n55691 98663\n20493 94852\n88081 96154\n54151 94895\n35674 76501\n10073 39654\n8814 61894\n18002 81471\n68103 94629\n82575 84928\n3990 80212\n12808 99464\n14085 44552\n18359 85820\n37525 81190\n12174 33305\n43682 95871\n54630 79661\n6030 26799\n24052 90650\n5318 39509\n41746 98869\n64933 67800\n77630 99458\n93098 97438\n3581 55368\n41721 61404\n10987 87460\n27687 73305\n11336 30574\n1105 87367\n24099 66312\n94620 99699\n11169 50765\n18356 47621\n40378 68136\n17595 74129\n87399 90643\n30699 81917\n59508 82269\n32379 74774\n25170 49395\n72500 92877\n26547 36576\n27102 38194\n68677 93988\n31145 50334\n71855 79168\n76307 98129\n13589 91648\n48591 65385\n30196 41580\n61414 65935\n25401 95933\n24512 69764\n24009 97509\n58227 72680\n56102 80830\n24824 44719\n15305 83745\n13573 38485\n28935 93047\n72620 74275\n6059 78833\n49000 87072\n9613 22166\n74805 88206\n52923 94970\n60594 90193\n3291 50568\n1768 96678\n50770 77453\n508 20839\n4648 40669\n21658 44543\n43900 67116\n149 86305\n167 7591\n28958 38591\n13390 91296\n72961 75428\n65478 81939\n12974 34937\n17024 17682\n48508 95157\n22819 90090\n21836 67941\n49217 82760\n12223 48670\n42778 52678\n69082 80138\n4421 40286\n18847 68086\n16060 34113\n17049 34606\n31722 52727\n78239 87887\n19983 52880\n1840 16218\n14381 63628\n14378 72592\n74458 94221\n54213 61523\n25344 65958\n6305 55951\n59801 78396\n48270 88153\n16227 98253\n42787 48629\n20616 37387\n30437 77231\n16938 62617\n19177 83222\n23587 61813\n36866 80303\n53165 83070\n15474 18875\n53813 59525\n14714 93536\n31028 78375\n15171 93702\n3437 47449\n67566 91337\n36492 37649\n18648 92503\n6082 60729\n29034 41635\n9614 89886\n38954 93427\n28960 46342\n77790 95696\n39325 42884\n17515 56081\n52921 66551\n71142 90658\n39745 72475\n55340 89930\n17005 92662\n36203 66575\n53232 83268\n30236 49233\n44848 84008\n73350 93707\n18334 81886\n37284 73734\n28334 71489\n25734 39208\n59489 86728\n885 52221\n32790 47661\n67442 83207\n82112 98219\n76155 78932\n681 56886\n11114 52724\n17801 89277\n27632 77394\n20405 61760\n16714 42336\n26291 58221\n18244 51265\n69031 97890\n42075 84822\n13450 30058\n7357 78659\n18670 94000\n2883 13748\n33909 79754\n55022 63481\n55734 86527\n34066 84460\n58676 95196\n19707 35770\n19641 38398\n63209 79169\n5100 7999\n9673 99495\n40806 54076\n17394 85194\n67119 94784\n55266 73575\n29780 37783\n35074 69717\n7968 72937\n35136 36955\n13499 73820\n17331 24863\n36559 92805\n60141 80826\n4004 10821\n14122 78367\n50205 99823\n56913 83158\n76191 91364\n14032 33445\n5857 59199\n2339 73678\n9085 71435\n35157 98831\n27873 34972\n53969 73269\n36083 76508\n7942 11797\n61775 91661\n49606 97285\n73258 78198\n29199 55052\n41741 86959\n54238 75777\n64655 88822\n46549 46595\n70751 71234\n12150 17892\n60593 68791\n18231 39224\n47253 97590\n30406 38870\n18082 94598\n12731 42887\n36657 86827\n27180 78656\n2060 18835\n4248 8494\n78846 95174\n54407 77330\n8538 14714\n75844 83193\n30626 72230\n2273 22215\n42082 59209\n24151 36803\n31645 85522\n38550 55369\n4506 37274\n6049 93260\n25073 90280\n12577 18927\n59902 80185\n15102 61239\n33157 68634\n30250 62528\n21901 40465\n42446 58472\n26076 99300\n37063 78679\n12186 30303\n63435 98716\n8631 75645\n71835 98487\n26978 33058\n29088 76965\n47857 55551\n41306 62032\n68211 92540\n17937 24155\n44905 56536\n10691 27866\n23695 97924\n10533 71474\n4584 66462\n25154 82524\n48836 63409\n8777 24805\n70702 71890\n48269 90325\n68481 86784\n37268 48791\n60790 74380\n68005 69455\n10735 67778\n8904 45813\n83889 93179\n14651 58417\n44984 53832\n357 9879\n29579 40158\n28410 34022\n66379 99517\n5819 83352\n11394 32372\n28922 52101\n63462 87084\n14533 83324\n31748 52247\n61452 98885\n37820 51678\n36802 52291\n65468 89668\n61956 98827\n16730 77020\n29962 96396\n46760 54571\n58974 85125\n3246 9564\n71775 88757\n67709 68111\n11248 20983\n20584 92039\n76307 84414\n87444 88501\n94201 95409\n9621 74772\n32784 99865\n72821 78423\n11888 88991\n4522 57563\n72514 94585\n72549 91410\n29838 49570\n679 87407\n25233 33678\n5875 74279\n47190 50096\n34772 37828\n10346 44244\n33417 64987\n36110 59566\n40430 44507\n10627 27917\n14058 36262\n6466 71229\n23719 31518\n30309 88635\n14811 75131\n34957 47733\n46807 99065\n21330 74590\n32594 44598\n43493 84911\n58844 75109\n24072 73515\n9070 22067\n1493 42823\n81029 91124\n60131 83011\n17946 25151\n12914 66148\n56899 97137\n43467 67801\n45625 83602\n1312 75865\n43832 47524\n67517 98844\n22330 46686\n34729 44146\n83930 92509\n52234 68437\n52965 95914\n30286 80192\n2602 90753\n12219 59301\n39571 85816\n34433 75617\n50682 99098\n43509 58890\n40238 78641\n24972 46026\n6597 60292\n5489 10163\n19790 74276\n61953 64153\n92161 93627\n14559 43046\n7470 9135\n25389 38970\n31728 38167\n73919 78716\n45138 64220\n13909 41314\n43247 89231\n17116 51172\n59684 63545\n25832 59840\n11457 55928\n946 49277\n49186 96094\n4402 90593\n50375 96677\n4288 80700\n49742 78235\n18392 23055\n54062 84184\n74481 93194\n1360 42496\n44466 73547\n60810 76432\n35294 55680\n29364 42952\n72445 83824\n43171 72104\n69930 75286\n54721 82355\n25207 73838\n33569 96176\n9515 18015\n24356 29739\n13695 83894\n47690 73831\n55851 97245\n23320 55486\n32971 92548\n89838 90159\n1657 91179\n2065 34149\n66045 79522\n62142 92839\n18938 76974\n79209 79331\n41005 71871\n1610 11032\n40022 97369\n52349 70795\n18277 54794\n35960 73423\n14730 84396\n82658 84838\n75809 86828\n34777 77503\n24347 92053\n4834 44663\n9348 52239\n50381 66972\n24340 93332\n84123 96970\n73355 87521\n72894 89921\n8765 12658\n80026 97293\n32073 91834\n8075 16766\n43674 53821\n35675 74440\n16364 34249\n78919 79001\n74687 89290\n7604 79269\n20455 34587\n75934 91009\n96636 99935\n6192 16833\n68107 88404\n88731 95396\n64892 66967\n58 1769\n8699 87205\n32879 55300\n40023 83626\n12201 72887\n76179 78338\n7546 56812\n73247 96510\n40555 87735\n50910 54676\n1600 8560\n33129 93317\n32693 38821\n22514 78776\n2266 32480\n5946 67869\n6400 48557\n4855 75793\n56722 66948\n34648 55521\n11345 56526\n6674 82418\n18952 65562\n53277 55828\n8181 46939\n57100 92476\n717 35147\n35193 50743\n20865 75705\n13422 93401\n10152 29811\n5894 30494\n2977 64787\n20666 37200\n45184 51879\n54704 84863\n33510 35577\n23029 60303\n6910 30878\n37613 67091\n93388 94713\n6520 36962\n45168 85283\n3419 94227\n43041 73395\n39164 87261\n2325 53988\n21877 65791\n26897 47046\n25473 39984\n60150 99655\n54320 61155\n25301 99737\n46638 61460\n64004 73566\n79791 85971\n27439 65061\n29252 57631\n75825 96510\n19857 50366\n952 73349\n29103 51963\n26749 81694\n9588 59364\n2378 74862\n26454 65316\n34433 34727\n69146 84206\n6793 52002\n5495 44550\n21909 77219\n53578 94612\n34143 53502\n55433 89973\n26210 64371\n48213 68827\n29810 57380\n38768 44152\n5971 43522\n42441 96254\n95152 95669\n11904 80229\n28302 95562\n2841 98653\n28775 97644\n2857 21373\n27615 72839\n18878 20400\n22956 66817\n37958 50646\n19053 56373\n39203 74079\n15125 69741\n1373 61736\n2744 69089\n20482 26510\n57964 80481\n13974 97984\n27566 54387\n74689 78486\n21053 26129\n43836 99665\n68870 75409\n71693 72397\n82167 97653\n14568 61342\n27746 55668\n82127 95442\n29044 30274\n22844 48908\n74366 82257\n61508 69002\n64711 84613\n14630 79148\n795 78510\n36835 70183\n27755 68509\n23813 38361\n643 70530\n26147 32866\n35 38705\n2265 15346\n14285 96417\n48037 95293\n34659 88216\n18148 36955\n20204 50351\n1343 93422\n72659 96736\n84882 88436\n13652 69240\n11815 36065\n35536 73786\n103 86116\n60877 90886\n44053 66974\n34318 54301\n70058 87928\n41861 73563\n35439 41670\n57158 80804\n75206 94641\n18662 73003\n4668 86115\n17282 99524\n9277 75280\n68987 91540\n27757 78096\n85828 97800\n34319 40903\n14177 36115\n20358 61265\n83332 99015\n76828 81001\n11148 93932\n4981 17464\n71317 91643\n10523 35132\n12074 52496\n33079 46084\n56680 72137\n88309 90920\n14061 23048\n19291 60497\n43585 96651\n80360 92777\n30034 58207\n4666 77512\n68425 91835\n25607 57963\n70313 76515\n84980 99554\n11525 68468\n20786 46229\n843 73579\n16729 55222\n70696 72030\n15441 24443\n41071 71788\n31639 88170\n19166 34002\n82781 85101\n28775 84124\n17267 52994\n13993 39176\n32105 48967\n52679 56359\n11381 49733\n30328 79940\n9344 37692\n61399 88539\n11442 88741\n24224 37676\n83222 85603\n6363 18124\n25265 52388\n59594 99589\n26574 27169\n1742 70532\n40411 76229\n15985 66784\n23357 91918\n528 81079\n22325 81170\n62137 96355\n27922 51179\n2239 5750\n61082 65392\n52117 80509\n1092 92838\n88882 92562\n35410 96310\n32900 64818\n30157 75906\n2658 89544\n34312 88247\n25533 70111\n38217 87651\n46424 77367\n40086 78786\n20690 61641\n51355 99905\n20700 39005\n15393 86613\n66262 96942\n32171 48800\n5934 74660\n1098 96778\n16507 27619\n80477 86346\n48859 61760\n8822 50630\n14147 56367\n9077 84166\n13123 50105\n24183 62078\n56053 98878\n1484 67851\n4403 92078\n64060 64752\n27245 95863\n65250 87614\n65553 94227\n16424 42048\n19578 26671\n4190 28645\n14810 47532\n4470 17708\n16954 25379\n20472 34475\n35121 95782\n11138 90221\n36961 67439\n40220 78713\n20327 26251\n40493 88262\n80774 82001\n35799 88844\n66553 99534\n15816 68520\n22777 51063\n75543 76151\n48515 85931\n11106 70408\n28709 81584\n8337 62343\n49435 79242\n21368 22109\n46408 80094\n80034 82087\n41004 52268\n8333 21653\n15442 93909\n12992 98677\n67987 77348\n25163 78590\n77278 80755\n13902 45175\n4405 10975\n32969 86575\n11322 88379\n8996 93288\n29374 60235\n14305 77128\n4116 70439\n39452 90046\n42031 85145\n1824 88727\n13534 86072\n35831 69678\n10435 95805\n18507 39839\n44066 49720\n39564 55267\n25377 85643\n17469 68085\n4418 47117\n16796 93272\n28523 47076\n7354 9758\n27889 67307\n22173 77147\n54742 89034\n38344 58970\n26000 42967\n45120 55885\n7628 88041\n3831 40435\n29894 47493\n31738 33154\n87278 96188\n23493 95109\n6843 96965\n29035 59796\n46789 67830\n8764 26758\n11966 15797\n53235 91652\n35525 73249\n32831 69400\n29045 35069\n19824 64541\n70822 82408\n16149 70726\n11420 35028\n41518 73294\n64249 88575\n2050 46314\n3647 45004\n53353 82810\n1186 18141\n5090 93535\n73508 80801\n83061 98052\n24950 83700\n52938 55060\n10616 70491\n76450 95117\n11844 69102\n21490 51613\n53197 85989\n49533 54919\n17629 86254\n95820 98742\n11655 55348\n43237 68314\n3485 37848\n37640 66077\n9271 83214\n22170 50775\n39690 79173\n25863 37898\n54430 61896\n16445 70378\n73186 75375\n31501 94599\n44866 47977\n36997 75885\n12525 53343\n11371 60727\n57884 61225\n470 11818\n31639 44695\n10633 65119\n36602 66203\n16456 30952\n45933 87674\n16632 65085\n9991 50132\n25264 77695\n45889 86169\n26373 50620\n55016 76375\n57006 57219\n56864 94063\n1787 16113\n2161 9720\n19662 89036\n12455 38468\n17737 98677\n3520 56016\n13410 72844\n5084 89800\n22667 35845\n16186 26308\n42944 94367\n43787 50213\n50139 86647\n18182 50196\n11331 42646\n75056 81796\n53211 95788\n7809 67460\n42886 51881\n50981 86482\n51237 95500\n27126 45577\n2369 46181\n63904 82433\n77900 92024\n1228 47295\n11004 81936\n5172 40356\n10684 30674\n4798 27462\n36052 78141\n39769 60122\n11617 30127\n16657 96419\n41051 92376\n36116 44911\n29811 97282\n4629 36748\n34661 82093\n12076 50518\n16961 44339\n2810 23114\n88210 90019\n4330 19609\n46056 95147\n20212 85220\n23668 94921\n7118 60363\n46325 46683\n51239 54134\n6317 54291\n68613 98033\n34871 70194\n40401 47483\n60117 67979\n53397 71870\n21960 34707\n69751 84612\n48144 91771\n22060 23553\n14620 90317\n84023 86407\n57564 86733\n3175 82095\n10829 88384\n48714 81982\n37594 58907\n59952 60659\n34993 82871\n49089 55108\n19374 43900\n35843 73999\n51988 93040\n65138 80124\n25506 82244\n25840 54709\n43264 78804\n56370 99467\n28731 98155\n62417 74053\n30151 82621\n24151 81701\n1187 56520\n7544 29285\n3352 68892\n17355 84947\n37710 63675\n82995 87299\n51277 53411\n66826 73303\n30667 41161\n131 63028\n33617 37791\n77193 85442\n17662 55258\n53533 74404\n62863 64130\n68350 84246\n34113 39104\n23 15267\n65881 79754\n66433 83634\n63431 92726\n34945 87710\n8370 47918\n25100 36683\n43162 62281\n46258 95215\n4046 11986\n47980 68198\n54904 74446\n16842 75073\n53343 92508\n23532 53730\n49737 57451\n45298 76391\n10790 20072\n43261 69691\n17696 90322\n33247 56599\n57572 87053\n40788 63478\n18337 87842\n31445 55576\n43697 98437\n53576 78649\n17852 86044\n51068 93044\n10200 17323\n41320 45732\n82636 86414\n67775 77051\n50325 82878\n9078 78921\n73194 88145\n22874 78408\n7714 79805\n29878 76003\n1250 42057\n35769 51749\n42232 52935\n44206 57436\n71086 79320\n14179 44061\n4701 81787\n2290 44412\n2852 40146\n78486 96213\n5781 40044\n34294 44380\n82070 88655\n13788 42991\n2309 82845\n69206 70482\n58496 67171\n12074 20813\n13689 54477\n19956 34371\n5955 96880\n42316 75807\n45317 65252\n30120 87037\n32103 62074\n29594 78064\n19344 48891\n74447 90013\n17036 54588\n57972 93535\n28689 31237\n44175 78005\n17223 79486\n10308 99819\n30089 45545\n21970 50844\n49173 89972\n7620 27396\n19247 43648\n3801 52794\n49082 73816\n36811 91373\n11461 57275\n2546 31930\n59000 83209\n52440 72353\n68602 95780\n48065 60775\n23811 27099\n4917 55705\n44186 63681\n23949 70529\n26724 70476\n14351 56941\n42877 85841\n836 27529\n67033 98438\n49312 57707\n1433 64933\n1903 47992\n55705 96053\n7883 83749\n85476 92764\n2619 45323\n4192 84385\n90268 99152\n25267 94763\n35765 99086\n36591 67902\n53104 61071\n21057 54499\n37056 45365\n42234 62874\n30967 40998\n31951 42058\n59712 98910\n31145 40997\n61378 82448\n4696 64311\n14338 76368\n23862 66177\n8306 28690\n16579 61453\n2541 48254\n71896 96060\n7264 10031\n21878 64745\n3089 14668\n35379 80665\n3245 76879\n2327 90554\n12594 25099\n23913 72438\n32547 66666\n42871 88979\n6117 58793\n71722 90059\n5609 18205\n9154 36318\n29042 77295\n25029 94172\n64874 66610\n82816 90688\n66961 87602\n15229 91517\n5665 59874\n58434 97075\n49542 88753\n38285 61160\n70906 84526\n11604 12910\n41636 96396\n1852 25291\n22375 32572\n19851 84896\n52960 94072\n22162 89545\n13029 52737\n18624 24001\n2015 10435\n52937 99564\n16591 27825\n43007 79552\n50538 98292\n89979 90288\n43158 64908\n40421 66594\n8775 91894\n31750 84594\n11454 16738\n24140 52449\n48506 58465\n25128 62998\n4750 49560\n70243 88799\n3650 86290\n55314 97334\n41441 43895\n65737 78239\n49732 77393\n4255 94323\n6001 7497\n72067 84997\n2830 27058\n53153 85579\n38712 71208\n69959 88534\n24590 92401\n11613 46579\n5924 87174\n10797 34944\n29468 41868\n69019 79630\n73112 85073\n64725 73226\n50096 74366\n61677 62392\n1846 93876\n55916 86273\n75541 86870\n10551 64615\n30234 64577\n17710 82527\n8000 43761\n34085 39485\n48841 60392\n69712 78271\n57486 97220\n46145 59832\n35746 48228\n39834 57478\n1504 7862\n28344 91556\n23716 83104\n23638 89078\n78246 91834\n51941 68182\n57193 74925\n14398 90565\n22509 99182\n13114 67793\n436 68823\n41803 42588\n75933 77438\n69643 91560\n27220 44033\n41839 81059\n50843 76348\n88759 95125\n8266 86120\n41960 61335\n5976 77552\n920 23761\n30425 71415\n26942 72473\n9506 86975\n10774 93182\n17272 29389\n45579 88422\n25988 94039\n42712 49528\n58086 86263\n45751 62580\n14791 32910\n26727 79877\n18527 96834\n69430 89174\n53446 89446\n55754 76760\n30999 79467\n39227 68436\n2717 30852\n413 95376\n10097 32595\n85627 95209\n56571 68526\n81823 89964\n52874 83607\n164 62608\n71407 99482\n18412 78101\n43496 69329\n3685 86561\n45263 50903\n38202 55895\n11802 34129\n15538 68048\n30937 40986\n15792 71555\n56114 85727\n27608 92528\n56817 58583\n10247 23678\n74157 91261\n33480 93887\n14642 77854\n45705 57150\n59003 91035\n14823 59068\n50630 65509\n5398 69096\n3764 64754\n22913 29071\n39465 40608\n47137 76311\n6831 66478\n28394 91020\n36503 44541\n58057 66545\n33785 34716\n7223 51504\n8504 97091\n20954 34242\n6545 73236\n26072 42550\n5413 61722\n32101 36489\n39903 39991\n258 10059\n22969 29859\n13317 57005\n18407 60095\n4276 73071\n68015 77137\n49701 91993\n25401 38579\n27468 76602\n32863 82179\n20162 46976\n33982 47537\n45702 72354\n1269 73873\n27368 32465\n9315 95819\n2974 86066\n3877 52383\n7085 29678\n29035 46143\n1272 15780\n29576 85993\n86144 97147\n891 34016\n91344 98316\n34694 50783\n15393 72258\n70929 90649\n83310 95813\n48161 83174\n73213 85889\n24921 93197\n15336 99229\n36410 89222\n21026 61851\n86182 92925\n34676 88791\n42413 94155\n1008 4252\n89665 98567\n80629 98822\n16997 70584\n14863 63054\n1575 29708\n66627 91429\n57024 66701\n12269 62721\n36702 56595\n6046 80310\n24453 84358\n28652 59272\n1229 1606\n17919 90734\n47407 53982\n55183 76490\n32945 47003\n35610 94504\n48275 72843\n83022 98956\n60000 79667\n10550 17549\n78202 98370\n44342 82145\n77031 89575\n751 79607\n34926 46876\n77395 87425\n40199 48318\n17320 32834\n55093 92344\n7065 45698\n45274 94548\n28921 41570\n49769 81194\n66215 96059\n36754 47531\n44027 74342\n4637 46970\n37753 94847\n33556 33890\n56339 83558\n94088 96859\n9198 12398\n13310 14100\n24279 83558\n3367 71357\n58655 94590\n65146 66832\n44235 56502\n59921 60591\n46654 57266\n68376 71268\n4823 56966\n55558 84073\n37127 40946\n38808 75526\n13393 39109\n66131 93598\n47241 73105\n41952 87215\n13523 43790\n10926 64626\n16678 23389\n2967 97151\n71847 78527\n60497 89907\n6040 73296\n10301 57641\n58568 81053\n22983 59445\n59947 72228\n12687 94469\n24959 73389\n59884 73669\n30914 78535\n48645 52687\n50718 67201\n25114 59455\n55507 89123\n61798 70729\n29122 57160\n5779 59009\n10761 50716\n67052 69211\n12903 60983\n78665 96857\n63795 73428\n22530 66292\n12971 77237\n60021 75963\n53199 96388\n44983 91473\n8262 27822\n19627 94239\n64673 66139\n71293 88657\n10836 75360\n2674 75267\n6367 61588\n38658 62492\n42400 79213\n26825 51482\n28047 30291\n30406 90055\n67640 87339\n12535 82253\n70861 93319\n62151 66056\n4304 18770\n53274 61445\n19836 60675\n56492 82271\n1975 94271\n26091 67866\n77760 82518\n836 967\n77579 97515\n24391 68700\n9876 93444\n5075 26490\n28987 64888\n48870 74706\n26093 99519\n8994 35636\n25051 33122\n32286 73867\n53547 72807\n69870 84083\n9622 71537\n22095 52171\n77274 78205\n56335 68810\n41159 60461\n35619 45118\n14087 65667\n44654 87946\n7830 52905\n22077 26534\n23120 69490\n33766 69532\n36957 98484\n19822 29279\n78001 90855\n5294 52616\n4782 21343\n21410 61025\n32588 91301\n13166 54760\n33971 43138\n13561 81131\n854 10839\n80339 99173\n51180 83124\n18385 85460\n50923 90396\n69434 94794\n38568 64901\n74242 82573\n76190 89360\n85453 90827\n34035 54643\n57394 71161\n7726 16519\n29490 73589\n28387 33255\n38148 49212\n7196 52401\n18954 47598\n11026 75579\n38942 71840\n38366 87937\n42608 90961\n17792 38211\n9475 58897\n16140 75178\n19923 83771\n59152 63347\n60095 94617\n76457 86216\n12950 58663\n4088 88470\n41958 77810\n8120 29939\n24005 73985\n64458 78987\n74603 86336\n51186 61769\n25209 31462\n42508 88137\n37587 37589\n27018 76005\n15495 49003\n70704 98429\n63408 94162\n41884 73117\n32029 73514\n25239 91848\n36685 96490\n22925 40300\n7587 70085\n14298 35790\n47997 66507\n11690 59143\n3460 73362\n5453 58922\n14133 61487\n11747 97244\n6922 47889\n11954 26828\n33476 87210\n28714 95363\n40706 45011\n19927 30889\n81857 88032\n79881 83157\n37601 83197\n11907 71000\n47698 57368\n5799 7961\n44215 92762\n13760 83396\n7169 49278\n59094 71802\n39810 51420\n1454 51834\n71829 98686\n2072 23124\n46796 81114\n77717 92191\n1008 83886\n52105 97881\n53386 90344\n3522 3681\n78422 96123\n5024 45743\n1677 47976\n59864 62329\n7766 43189\n28050 83072\n84217 88867\n60899 72830\n23810 89016\n10997 26161\n62568 65396\n12163 36862\n19461 56287\n43019 93627\n9739 22832\n2087 31739\n44846 61969\n46660 65081\n37844 93008\n198 89996\n38292 77204\n10445 17197\n16980 50070\n32308 36564\n36003 93847\n82807 89320\n42886 53543\n53079 72711\n92161 99800\n30350 91909\n5956 59083\n28499 30894\n19976 59985\n63592 87951\n38704 81668\n35244 95030\n3997 77815\n558 43175\n24587 57707\n48309 86974\n49985 86664\n1617 30439\n5990 12447\n13305 21641\n18267 37794\n4160 17368\n72006 82253\n66765 76329\n35624 36944\n21258 60239\n50073 79930\n34545 81925\n1875 73786\n42858 58323\n29414 57483\n27595 51715\n18278 33660\n62145 83062\n3317 80949\n17069 68079\n24107 86011\n31301 45946\n42346 61308\n53145 83189\n20009 22546\n39440 72178\n55029 80176\n52590 61159\n52344 64581\n35855 62615\n76626 77116\n48594 71180\n30322 33889\n17282 38708\n8983 61554\n11033 17042\n84970 89455\n653 60570\n46294 51053\n27168 31938\n81912 98201\n7878 10082\n16514 33026\n12186 24886\n12169 48414\n8626 67722\n22136 31968\n693 16731\n55441 88492\n31360 62424\n21763 22263\n38880 80301\n53581 72519\n45175 93325\n37709 73026\n55413 95531\n1996 47229\n28123 99148\n16839 57081\n22140 52623\n47031 91211\n43202 46044\n34277 38722\n642 95280\n34047 45497\n15140 80790\n43280 94879\n7602 77653\n41529 81645\n42169 72405\n68355 72882\n73871 99344\n49160 75623\n87586 88659\n47616 88670\n7945 36637\n19579 41837\n3697 91222\n96 3109\n26248 27649\n15166 73272\n43824 87575\n30733 44332\n48901 62061\n83438 95410\n37823 41824\n3536 65904\n5243 43892\n27716 46280\n6898 35181\n478 93567\n64206 82118\n56638 95357\n13816 58098\n23387 38817\n38324 54287\n64821 80852\n51528 63965\n38243 77832\n49259 49566\n63716 96421\n32040 70721\n4285 42319\n50410 97258\n9326 28269\n70871 82355\n9545 69223\n56350 75679\n21573 90562\n43326 52227\n79828 84547\n4998 70264\n78997 82880\n57086 87359\n12490 18111\n5120 47314\n89409 99488\n29679 77410\n25438 35752\n45838 98694\n10536 77805\n31309 83156\n48733 49936\n48589 91180\n13655 40904\n24201 82020\n42380 42554\n45332 95281\n70778 90992\n3731 51503\n65195 97687\n32175 92243\n53896 88719\n9839 69933\n59863 75688\n66504 98790\n70592 84746\n34616 57776\n17028 17595\n17123 63402\n17685 51913\n56986 71562\n85067 87932\n2268 69485\n83219 99021\n21966 49786\n21894 85993\n40735 60228\n50357 57227\n47367 88387\n5859 92897\n77216 98158\n30000 92564\n676 88617\n52922 74798\n4870 39730\n50951 75288\n791 90456\n5063 38900\n44683 91691\n6596 32964\n76417 81956\n81733 86429\n23598 58718\n14635 49834\n12579 77631\n17348 25620\n93822 97043\n67261 75677\n8416 46022\n410 17232\n8373 33770\n14198 86447\n77992 87953\n2367 49942\n75412 91177\n3725 67097\n39794 56579\n50779 87254\n75926 90953\n1514 2652\n22379 63881\n32849 83190\n14356 42147\n65592 73210\n50278 64327\n49062 90102\n25980 37526\n7478 19173\n58161 82635\n25201 78019\n15523 97907\n5530 88569\n28443 97252\n41042 65475\n35774 56100\n19321 85571\n71483 88976\n66351 70696\n58558 81700\n11628 74098\n33526 43692\n36292 38505\n1592 85080\n52674 87734\n26714 56200\n33713 43258\n54630 66727\n22228 62727\n60929 91687\n29388 59314\n8222 25620\n47788 51398\n81365 83240\n41127 92808\n55799 90531\n62900 81981\n2259 23610\n17508 85831\n46757 86789\n25295 82827\n7322 25392\n3610 20622\n6843 41473\n64497 80827\n6717 43852\n49840 94181\n37401 97634\n22457 40102\n57730 67431\n3446 81460\n50206 58478\n44725 69855\n24313 55923\n38698 66931\n37250 44502\n58130 67989\n1503 3325\n28894 49343\n41165 53369\n459 85812\n20930 54248\n13080 51199\n10104 31677\n17568 42146\n59293 92784\n29040 31488\n17716 40803\n18242 73097\n980 43858\n8714 95193\n73401 85278\n1681 80518\n27929 70160\n33962 80496\n58684 64583\n12742 24698\n49884 74815\n69510 94227\n5606 98521\n34751 84364\n34134 58128\n71693 82956\n38543 44045\n18273 93909\n52111 86831\n54213 81716\n43983 88320\n11328 65333\n10667 85000\n9690 23784\n14438 34670\n58659 94770\n63942 88632\n78759 88296\n68354 94596\n4799 53353\n3505 13434\n80456 81759\n296 60167\n17739 55206\n16978 91116\n62986 94823\n17077 42622\n12676 68447\n8628 33540\n89077 99426\n23509 95185\n78037 96237\n28114 42439\n13844 95323\n10475 10623\n62765 65222\n98145 98817\n31849 73532\n1468 33265\n68334 94229\n31017 49618\n38562 66918\n50151 53687\n4825 30448\n59047 76844\n3544 64175\n6746 92235\n6799 16040\n1921 31317\n34924 79029\n50253 57287\n14078 15936\n65803 82548\n18800 46573\n2253 54253\n82791 83101\n47767 76660\n67320 84680\n90958 92290\n18683 52672\n11675 23961\n33221 91682\n9493 53899\n25617 42358\n6939 97991\n49893 96622\n28725 34782\n81617 90387\n3564 87279\n13556 15517\n10563 52801\n40799 64328\n57487 81582\n6568 81502\n43919 88465\n76415 94954\n32773 40733\n43081 99480\n14272 75506\n1408 23857\n44543 83487\n17823 95036\n41758 66787\n52165 92436\n1788 31838\n38930 40880\n37973 58766\n81693 94947\n3943 82643\n455 65814\n33780 76415\n1907 83066\n63140 63950\n51767 81345\n22419 88637\n4253 38781\n4524 97462\n86510 91448\n9722 29996\n2059 40325\n14590 54271\n9576 61385\n2872 29277\n14491 97057\n7699 49450\n13759 57817\n958 74737\n38202 99083\n9234 83531\n47667 62651\n25548 89914\n44088 66296\n46111 90139\n37636 48186\n4767 92928\n76920 95237\n1384 88330\n74240 95963\n46350 65573\n21924 33662\n9732 56653\n28322 58773\n40447 51861\n37498 81969\n37931 62063\n12865 21236\n41601 99470\n25095 33249\n47089 74684\n70420 72932\n65195 85542\n8781 87178\n53953 69854\n50177 85924\n20236 24893\n52702 99366\n45317 70723\n29081 94204\n9553 24650\n17224 33545\n29516 92341\n8541 54399\n28719 36064\n4445 27644\n581 58968\n41244 76974\n67779 69265\n65634 87700\n19079 55528\n6382 49348\n38887 47755\n49278 68917\n649 74847\n23417 39637\n8097 35469\n2303 10066\n41682 63551\n5197 40474\n15223 22983\n40439 57050\n16885 40793\n38068 68730\n1127 39218\n70765 92023\n30597 45524\n20904 75670\n20424 75532\n22972 46324\n26201 47647\n57673 66994\n88619 93231\n44415 58888\n50173 73440\n56358 94518\n23273 61205\n5173 8706\n16622 37680\n20621 63754\n45862 58662\n41756 57770\n47166 99732\n25246 57098\n9812 88750\n468 76156\n6848 24284\n27818 42296\n44791 48601\n19628 91655\n26727 90766\n78958 88180\n1563 95706\n73642 80673\n15370 98067\n35773 96221\n46887 76329\n547 28327\n7240 9538\n33720 41673\n57560 79299\n36345 83398\n53485 61266\n12133 86575\n39744 93215\n84492 97002\n24240 98866\n19039 38273\n6852 33646\n18038 58358\n89286 94182\n60080 85705\n48592 51345\n22528 47589\n3084 23230\n6442 67303\n34085 45648\n63424 64183\n3421 43997\n30041 44240\n61025 83619\n46864 48849\n29629 59113\n44427 86872\n50585 55485\n13055 25009\n2799 88235\n19413 56850\n42113 65542\n18606 26084\n1859 87424\n59354 87072\n21331 26024\n42076 66350\n28116 34277\n1661 96971\n41447 57447\n25744 86712\n4837 25782\n59171 59291\n14544 24205\n14696 21560\n42821 75990\n6685 99236\n15166 85175\n41862 93557\n41258 51955\n7826 47191\n7800 63553\n37994 93287\n21791 54971\n32928 70751\n21320 69941\n20111 91647\n45107 53994\n28655 75737\n12851 63044\n6187 56552\n36367 97612\n39529 65635\n28620 63657\n59635 67365\n17824 55997\n14025 72000\n14896 56398\n37243 79158\n11091 48984\n20720 39449\n56643 92065\n54486 78206\n12453 82506\n1007 23062\n35264 78990\n19210 42040\n39713 78145\n24131 56805\n11940 64206\n18038 93849\n17536 61910\n26655 99375\n61324 92207\n69256 79135\n15856 88088\n73876 93962\n34894 72241\n23816 75292\n48350 96738\n48302 91568\n56905 84783\n67903 73082\n24563 58493\n35360 93129\n20118 68172\n20158 94882\n54604 79776\n36608 85484\n14140 55535\n4629 27463\n73285 79544\n34087 86687\n64542 74406\n32682 46285\n20016 22904\n3837 72955\n45554 90243\n17121 48715\n12381 78504\n12705 21769\n1941 14977\n50976 55362\n71727 71920\n56868 72486\n56899 88420\n62934 96183\n65322 99845\n11091 85755\n56588 93239\n8312 13445\n30598 95577\n87355 93308\n84297 90027\n72175 85975\n67691 82135\n18803 95960\n15913 27599\n52726 55278\n40651 98996\n44686 95315\n29639 29669\n71761 94139\n65396 91353\n12661 52189\n24130 51937\n43520 71490\n36283 57632\n76088 86084\n51668 85201\n11061 64827\n41227 71200\n1291 74972\n7344 60603\n36339 79146\n5708 91855\n30362 73469\n62002 80202\n20866 53653\n33207 93852\n6640 31334\n3961 75549\n46497 79421\n43603 97695\n31122 86006\n20932 89095\n52865 76002\n47997 62460\n51822 55844\n24872 60203\n18246 42982\n39728 45812\n25566 43696\n67554 91203\n4900 88800\n55415 68462\n67394 72137\n7673 19364\n602 57432\n29985 82829\n71979 83768\n24037 92619\n40524 83791\n22532 77024\n35239 50661\n98775 99003\n31991 65086\n71825 77228\n20587 48544\n79018 93712\n3190 56383\n14977 93643\n1845 89343\n3753 30202\n38088 39996\n34360 53306\n37557 38355\n35674 76744\n36269 89527\n20204 88827\n51890 66893\n11315 69923\n3373 85705\n58880 72178\n30250 76937\n7697 86772\n23807 76232\n8414 90921\n53479 64121\n17929 63133\n7716 80612\n92278 97664\n12680 36170\n16412 65426\n12017 55738\n11054 84068\n11642 27675\n65922 75980\n19494 59653\n2756 89912\n26814 41896\n23240 40875\n30527 49845\n48786 80897\n8484 75091\n23751 88606\n651 1743\n77987 89889\n49734 73189\n8906 49999\n3267 30896\n19193 64618\n18523 37642\n12319 47890\n13245 92879\n36825 64452\n65178 72967\n63203 86761\n39483 85132\n29545 33494\n65516 69272\n56689 82168\n17835 48031\n8861 41022\n37782 56309\n32687 86568\n22515 87028\n22862 88366\n43519 83663\n34248 49816\n23541 73131\n10424 22768\n56449 96904\n57254 70751\n48373 49485\n19397 32091\n31092 32686\n4490 21401\n14596 40820\n11334 44838\n56485 84060\n55088 96446\n3531 30198\n49777 76439\n17299 25434\n20095 52723\n64695 80125\n34073 47734\n28822 80100\n934 13008\n47118 94424\n52273 55842\n33734 95578\n14224 17670\n36916 53524\n3529 53415\n32973 80131\n13213 95922\n19014 45207\n47568 92828\n24267 88562\n18568 96502\n2397 13360\n35898 94540\n15759 58634\n54514 99276\n48459 71496\n76274 82233\n40210 91680\n4225 35285\n52275 99595\n30398 98628\n50363 68279\n4645 92202\n13745 23119\n83088 89400\n28906 99612\n56893 97990\n55899 76972\n5503 39759\n53930 56938\n22881 42225\n35298 92816\n1047 85243\n27343 32588\n32871 53358\n18601 44523\n5887 87474\n44524 84464\n16319 46327\n44426 79565\n36831 68164\n87371 97038\n57891 60109\n29233 37713\n54853 82608\n93550 99977\n26732 43430\n51997 94359\n27614 80841\n76130 95457\n30237 33848\n21713 99606\n33186 92179\n4833 8583\n65429 94732\n53749 94574\n36677 37120\n83616 87131\n7684 18772\n82953 90500\n34520 85413\n1479 96554\n37259 63477\n11771 96311\n62131 85953\n10987 97095\n18756 53839\n8736 62668\n14988 87044\n35045 87460\n20990 72627\n2959 98822\n52390 54754\n19076 32457\n17676 63873\n19859 89652\n31454 86812\n54154 72344\n58688 71900\n85043 95127\n53005 69598\n64051 99511\n25208 48201\n83028 91666\n28870 97930\n24013 73151\n4682 12302\n8238 75205\n14735 56103\n63446 79506\n37963 77724\n14332 49804\n29223 48660\n34292 44903\n90595 96090\n20023 68711\n14303 87244\n91280 97342\n44662 49528\n58696 81479\n28358 95932\n28469 45268\n54231 54779\n48812 79665\n413 27167\n28265 67516\n74281 85073\n5512 87852\n79797 97006\n41334 91897\n33740 77065\n8457 61227\n2305 39349\n15756 95594\n47372 84063\n77688 82994\n6408 78224\n34938 69011\n47662 49834\n52261 66546\n47026 85504\n40222 55101\n19639 74082\n64906 89158\n80092 92709\n14635 56542\n16285 67490\n25257 81257\n63227 90684\n40366 46506\n54775 87740\n47173 66591\n3465 6530\n59386 76384\n30485 56384\n10964 73751\n18128 90646\n458 18371\n17632 32446\n17799 58138\n47868 65386\n5199 65649\n30740 34389\n39878 40521\n69008 86563\n8411 34019\n33131 83847\n27992 94661\n19516 68666\n16335 27330\n34766 98467\n27060 77209\n28914 48798\n2895 47529\n11437 76966\n21155 22069\n27547 69209\n17632 19430\n35354 77234\n12734 62034\n755 28694\n63599 99304\n42494 67645\n9931 26163\n20847 61312\n39778 43370\n43761 70164\n11857 22863\n48340 54910\n30318 87025\n16709 50470\n61311 67573\n41121 80080\n39645 46534\n42771 76089\n29434 37172\n40161 94063\n60254 94471\n9834 88035\n47167 96148\n22131 82211\n43574 48322\n56031 66444\n57956 63345\n20219 74622\n39930 65539\n74485 95877\n12628 55436\n72682 85508\n17201 38885\n34037 61261\n5300 75760\n16254 56089\n55387 99395\n11496 78779\n16878 63874\n75069 85873\n1433 94338\n6113 63423\n49148 80029\n55172 88360\n3610 51308\n40378 68292\n13135 97825\n31903 64357\n80184 83050\n20966 91344\n26122 94195\n1430 46679\n3315 84522\n28130 42688\n21788 24516\n42512 52720\n74766 79379\n3991 15636\n23826 80071\n26186 56003\n14979 76952\n69166 94188\n4297 35153\n55752 97699\n10849 17335\n47148 71263\n16031 32507\n8659 34057\n63037 81363\n41999 80793\n23730 96232\n51667 53099\n23236 82397\n94133 94750\n2696 59552\n12345 23478\n7800 66647\n4448 85642\n85479 90531\n65289 83984\n74878 91657\n8595 57469\n50680 63980\n69906 97436\n25450 40249\n37807 98762\n6209 91487\n20082 54566\n8135 59287\n11918 77884\n2224 80010\n17820 73303\n23487 87176\n7499 20563\n25998 51993\n15431 67112\n49734 67922\n3103 45315\n27904 78712\n31900 64387\n925 75438\n33171 90314\n35159 76905\n41993 93539\n7375 49070\n13192 46759\n43814 97089\n44646 79070\n18172 41929\n39335 68007\n10229 94164\n9556 29684\n69072 90959\n45274 93413\n36831 90615\n16556 54055\n34281 40191\n75251 76685\n86041 95592\n73120 94057\n82949 92462\n16804 61570\n18233 96616\n72867 87452\n68911 88535\n18498 55681\n10802 67387\n37500 40009\n22659 30552\n29972 65500\n56226 86948\n53960 57727\n19175 45192\n26301 50567\n25295 94989\n43450 97447\n61633 66921\n27014 91302\n27700 75900\n664 7931\n80578 92164\n24647 85891\n42137 67346\n6838 36860\n35790 48415\n44345 65507\n13361 92158\n21408 85707\n28067 74974\n27130 64734\n50297 81898\n39844 52297\n84168 86019\n8088 81210\n45477 56016\n34266 73123\n36555 86750\n77062 77633\n29981 66723\n20486 67605\n95654 99316\n11141 88599\n7257 44550\n33264 64661\n35358 87973\n49937 94325\n2909 29825\n41592 94347\n36409 40857\n8682 88389\n71844 80919\n50321 72809\n51146 88267\n36709 41265\n47759 77613\n67486 83448\n17029 23254\n44407 77134\n42234 87322\n32435 66080\n9509 99211\n35785 89454\n68590 92411\n31782 87635\n9659 18694\n54682 70268\n78077 84634\n5993 95463\n22847 93762\n7937 30636\n2165 26740\n82542 91433\n27387 87433\n21488 29996\n23980 84472\n30529 90132\n35050 84024\n26474 97444\n48081 65302\n32739 90087\n23664 35521\n8160 18888\n27807 60441\n14199 40283\n61855 71681\n65771 72167\n11981 28791\n78121 89407\n583 58529\n13398 64555\n28862 76738\n47131 93808\n9076 41701\n9190 12952\n16398 80004\n51834 93955\n295 54505\n29405 93032\n68673 96195\n8221 76845\n31166 40750\n50375 84601\n7840 46108\n96075 96339\n42271 67299\n16446 40139\n88504 95752\n51179 83889\n25026 29516\n55074 57856\n3202 39553\n27808 83368\n3766 60744\n38273 64833\n5860 75942\n64908 69342\n9998 77215\n19023 39315\n4504 29610\n18368 79603\n22638 27525\n18650 72418\n65992 99790\n58331 69337\n75143 89306\n12951 40106\n74828 99076\n16149 36724\n34525 79444\n9724 22821\n18852 66522\n31744 42764\n40635 83853\n39005 92806\n29200 51205\n20712 82941\n65322 73484\n2999 47926\n12664 92044\n38832 89656\n2000 32419\n42629 80432\n9432 33364\n19669 36837\n32365 85875\n20407 85895\n38033 72745\n39959 52229\n94487 95975\n84487 97559\n15106 33110\n25744 58897\n20694 37905\n33623 47703\n41292 76276\n7077 53810\n35033 62719\n36202 78832\n11240 92711\n31264 69921\n11772 27193\n8043 35027\n55026 77463\n3207 33044\n13976 45854\n54949 81618\n13124 62723\n44903 75747\n14422 79126\n5857 31965\n55058 74836\n37421 41187\n63022 72675\n88754 89393\n25314 43448\n45008 75924\n1583 18721\n16044 25811\n41492 56990\n2491 46197\n53268 64524\n34918 98938\n17455 76734\n10922 72422\n29861 61724\n15171 83391\n8610 47826\n22549 66059\n7561 10458\n37560 43214\n637 12722\n48198 97634\n43721 50580\n29443 30935\n29768 49341\n306 9479\n6635 46146\n60377 90363\n24395 29006\n26429 41317\n9821 32961\n27896 39465\n2360 14353\n24426 53872\n923 10369\n9947 9993\n57104 68841\n17854 81831\n56696 98941\n4079 93339\n56624 70968\n64058 86391\n44465 81047\n13046 99321\n6984 44555\n55265 83616\n507 60567\n38134 70715\n59571 61988\n23277 75821\n25755 52088\n29248 93645\n22263 35966\n64834 90949\n25584 95140\n2534 58723\n38620 45100\n83433 85157\n75060 81609\n26216 46844\n24163 91988\n2705 47250\n33697 38244\n18564 49582\n27493 55605\n33829 97434\n13530 33515\n54936 81141\n46116 56915\n22111 69352\n6715 19709\n27127 91371\n37187 53606\n7459 50658\n2747 29046\n62380 96507\n4425 77689\n11662 79191\n60477 95338\n16277 22168\n24979 52956\n1101 3795\n23323 86345\n8320 79695\n36348 94045\n13012 49755\n59882 60822\n34218 93536\n2409 79939\n10823 48293\n53619 97701\n12438 42031\n49084 84098\n16724 27299\n1357 42769\n42645 71757\n46015 46778\n9897 95373\n51522 73143\n43034 84591\n33972 94162\n78641 92081\n15196 65256\n41060 99055\n44155 64038\n27275 43119\n2362 93247\n6077 32592\n48 96200\n43456 49499\n21953 77490\n32381 47858\n41046 63541\n23466 74704\n1771 63840\n83786 84383\n89538 99672\n16381 55499\n67432 93785\n1030 85563\n12244 48101\n45392 90301\n17532 60019\n48187 56185\n47717 73444\n21462 39871\n17696 94764\n39389 74114\n6430 84227\n33633 36456\n37543 78012\n23818 28920\n25193 50883\n18896 82401\n64377 76619\n12091 27865\n88286 95954\n8720 57784\n62192 97556\n30531 74604\n68875 94734\n27650 60223\n17573 74585\n76296 90176\n26884 38011\n81646 82914\n1223 44558\n52874 66967\n22287 92551\n12416 74937\n6105 35048\n50138 83082\n22145 53224\n12629 35000\n12437 45107\n5640 23820\n42249 48631\n54692 62306\n13235 21580\n32012 76803\n61919 82134\n15984 59324\n11384 19720\n34564 60414\n39330 77905\n31415 50686\n19175 61039\n18095 31513\n16397 43288\n56662 80313\n52608 88151\n16535 90173\n7564 65065\n16690 38921\n28461 34392\n49007 52126\n24474 61906\n5079 55927\n60494 76101\n5782 79570\n20933 87048\n34349 76263\n44070 69224\n36710 97177\n2662 42951\n39467 50702\n37284 70670\n51097 94894\n35898 91920\n54424 80517\n44802 84998\n67310 84849\n47030 64997\n58505 72515\n19725 39850\n5214 45030\n20122 56226\n52271 70902\n15360 24834\n12458 75425\n36273 98878\n83349 97680\n6583 38692\n3899 12912\n29015 89418\n20464 30733\n87168 88192\n3919 97185\n24737 63282\n15070 76690\n20313 51203\n14139 44319\n5241 95594\n1954 76764\n39568 83761\n25589 75218\n84460 89031\n67136 97598\n70463 85699\n31409 77262\n33965 84361\n15787 90393\n19896 85762\n28252 88217\n60012 92635\n21115 31263\n47405 55544\n13641 41521\n14231 94130\n38238 81192\n50356 78811\n38581 50081\n135 92025\n52077 59777\n63552 92260\n13061 85502\n24893 41012\n20316 75462\n13727 32764\n15334 74789\n2869 75176\n48980 69344\n15896 81466\n51979 67683\n21744 78218\n34050 94238\n56906 81950\n64173 69941\n38286 47517\n2939 53877\n10468 40817\n23080 37188\n3697 95043\n26178 41519\n63388 70482\n61331 95135\n34485 75322\n51278 81800\n2017 40794\n28960 94476\n6078 64364\n33053 58115\n18486 93067\n22919 93754\n1767 74041\n51183 86377\n78741 88907\n24010 94631\n66581 75611\n29418 83600\n22591 84409\n5353 10784\n11170 50851\n69369 82120\n35256 75775\n50280 66128\n67121 85598\n139 9726\n49186 92331\n88047 93099\n27042 91983\n51159 55983\n3476 95039\n42261 46521\n39577 95923\n1866 69821\n33031 95996\n25156 67453\n20890 60297\n9353 54519\n16219 77129\n3849 32671\n47876 71225\n14762 67039\n18865 78926\n64749 76016\n47211 64531\n74684 81579\n21457 79026\n44781 68088\n48547 78743\n13574 79521\n21166 62758\n467 87326\n36214 51121\n49400 93493\n23139 68268\n47155 61902\n69178 71295\n25342 66794\n55297 81385\n7216 76475\n11421 12843\n13135 19244\n40336 73228\n20141 32645\n3851 87228\n27206 81364\n85929 87110\n71443 89903\n8481 46339\n50877 71585\n72744 72779\n48058 81025\n1144 34749\n57497 62589\n19076 73380\n44150 57226\n32053 98865\n13928 50612\n52304 58810\n12326 66459\n25959 32331\n26330 43815\n2217 48941\n13803 57125\n15312 91766\n34598 67523\n40281 91563\n11456 84789\n34619 64127\n46861 51675\n88129 88899\n96786 97016\n23366 96813\n91780 98788\n60866 64087\n33752 37024\n78491 93002\n8478 66895\n536 80834\n8920 86091\n39032 62680\n85786 95990\n69442 95207\n6875 9435\n17583 94343\n27473 46029\n61974 66273\n25291 44332\n69001 74407\n7059 20584\n33702 93621\n58395 94765\n18662 23198\n55155 74920\n18188 40745\n30505 47538\n8780 34514\n42475 74156\n62299 93644\n18490 77459\n23154 87460\n27783 43887\n22642 36805\n13824 57834\n8181 46641\n52574 91807\n27303 66364\n42601 61008\n9834 46044\n19523 56235\n33336 70862\n32736 76336\n63122 94206\n67838 76385\n62279 63749\n45024 97360\n2089 99712\n60548 62478\n4957 39081\n64483 86142\n17321 69587\n4759 9509\n6431 59484\n33833 34262\n77023 91819\n63435 83832\n60259 67532\n41763 44373\n5221 46781\n1105 75469\n19667 99658\n25725 64295\n29618 90406\n42022 70964\n5803 93886\n92918 93225\n37032 73862\n1139 75496\n26246 32505\n38587 70134\n28361 55781\n85844 96445\n4416 90011\n7171 74488\n38076 73478\n85656 95049\n94665 95542\n2304 61775\n37777 54298\n13926 34219\n24191 58028\n2824 80022\n14447 78929\n30252 81642\n57652 76631\n9234 64034\n18513 38656\n40905 78013\n23730 54316\n46998 84375\n35047 53384\n2632 70346\n8974 10219\n30521 51200\n65302 68979\n14591 53719\n2767 13123\n36521 40262\n85161 93980\n44887 93404\n87888 91377\n24326 68969\n86101 90948\n11254 81358\n54804 64794\n6928 51515\n47984 62420\n39603 45084\n24686 49056\n10522 35341\n22049 51274\n61242 98169\n34430 57766\n958 43021\n66805 68122\n7519 69521\n6309 19240\n8903 84569\n14543 58038\n51637 84840\n11488 29100\n29445 50957\n7974 51818\n62403 84088\n62884 71421\n27251 35505\n80819 81825\n91687 94454\n57147 88130\n43410 64709\n26751 77030\n38921 54958\n27572 95827\n37420 58338\n22231 67645\n43487 47924\n7340 26267\n32361 90019\n21529 33955\n50764 79061\n8874 94142\n28865 60303\n37584 91924\n47099 64882\n24854 28981\n8453 52142\n72265 75256\n51929 98391\n19096 59993\n36469 64552\n12194 16622\n75447 78622\n33463 70941\n23988 31674\n34158 57672\n19653 29405\n8560 10234\n29744 75058\n19855 29107\n48751 75049\n24184 90819\n28509 54412\n13402 95648\n72097 88199\n24818 46418\n77982 98192\n36152 85325\n1956 72140\n34166 60107\n10174 11166\n62693 63083\n24892 84651\n12708 46928\n15830 74497\n59306 60590\n16415 79753\n73187 80689\n6400 26100\n56797 62251\n11863 74639\n49874 50407\n12292 31598\n59932 94248\n59781 62931\n24655 44849\n8567 43280\n21034 36622\n13313 18074\n87094 88994\n6254 45008\n19962 55731\n6461 55324\n76613 92020\n30069 42013\n22508 63545\n658 52820\n41243 87814\n49285 64293\n34839 63968\n84499 98555\n30464 47156\n7643 70952\n26198 74222\n14680 64329\n29977 69620\n9756 20849\n32597 73383\n13363 61806\n22448 33307\n61531 79307\n13134 94369\n7932 99265\n4168 83771\n70408 95833\n83532 91777\n62020 70661\n60933 67121\n23950 86498\n30187 85186\n28690 97518\n31301 91894\n16805 61558\n62357 69763\n27562 87007\n41968 99475\n29584 57476\n48023 49650\n4970 31384\n5439 7834\n51884 71613\n338 37569\n2828 50815\n16025 95025\n22502 35464\n78985 88720\n2687 75368\n11441 45279\n59481 95607\n6081 64214\n2316 69498\n25918 30734\n24672 65593\n5129 15666\n593 29227\n40608 91005\n64083 99787\n27667 49605\n14265 55978\n45943 48197\n10214 13703\n6675 35509\n48371 83478\n15252 97598\n10691 47545\n60768 76607\n63721 99456\n68000 87436\n13527 62624\n9576 24792\n43186 54724\n14283 79603\n12647 66913\n31047 61289\n49631 64182\n19567 92163\n1370 89486\n14874 34895\n4231 66113\n57299 78761\n88619 96398\n20456 43280\n61521 82316\n31700 44479\n45314 53742\n3365 13225\n31463 52010\n4230 24798\n60083 68040\n30205 46377\n71689 87734\n38632 59614\n50475 88593\n40705 41522\n52405 74834\n6357 36628\n22132 39881\n14510 16623\n66878 97591\n92599 94804\n23848 70723\n35800 45236\n2420 32020\n33494 85664\n15882 74331\n41683 72627\n39661 83070\n6263 53916\n61096 66158\n8005 45564\n32398 85758\n51690 74060\n55635 74511\n3854 33802\n82964 96964\n40479 69036\n28313 91125\n46788 64647\n66396 93632\n11398 86670\n35535 97710\n43799 68847\n10995 27039\n47382 78742\n33340 59077\n62563 88748\n43849 56362\n79464 85928\n51135 84813\n5700 27483\n60459 97936\n61504 85361\n11292 43500\n74540 98963\n3545 81933\n49946 53763\n33200 36190\n4096 31035\n49252 78243\n18836 32330\n38004 85072\n39049 70738\n67230 98626\n42966 56430\n4111 84632\n5453 41626\n54743 97317\n29049 96342\n23400 83100\n59936 72586\n50619 58415\n76099 86007\n16134 89102\n38368 87730\n56691 87425\n29016 69190\n35472 59975\n34612 55674\n5974 70553\n47291 52500\n40761 42882\n90172 90949\n10567 48691\n26876 78313\n51677 89840\n41765 69833\n55831 58422\n5959 38971\n15131 48570\n6226 6540\n25482 72765\n21218 63605\n4763 70836\n78061 81937\n25459 43829\n40536 77461\n21101 87011\n2669 23203\n76352 94123\n7022 69794\n13303 68039\n77924 91611\n24281 97239\n1782 15389\n24725 83278\n4341 55077\n741 46380\n59667 69301\n21158 93457\n34555 94377\n57339 74302\n20968 28825\n58034 68300\n71065 73901\n33896 45907\n39185 57855\n44939 45137\n19200 44883\n39875 68193\n82074 85291\n35705 72109\n42775 63901\n4233 73589\n42927 57926\n11315 35477\n2513 91924\n55917 58410\n11335 95997\n63594 66407\n7766 16185\n8536 55834\n60730 66782\n82219 88950\n75090 90206\n13645 43583\n49457 54105\n54377 58195\n14011 47899\n23422 25428\n31487 82489\n36719 45400\n77002 97540\n502 93312\n62977 90007\n75220 84428\n23566 88523\n7760 68424\n68443 78685\n30752 45103\n1808 24464\n48233 70835\n7157 14725\n60896 74936\n37599 50495\n9740 50232\n36682 42035\n7946 39552\n14520 22080\n14028 57292\n11607 68846\n28868 71907\n24092 50966\n9434 89112\n44258 49256\n12950 88582\n51553 75314\n62380 95175\n35145 86828\n29879 46303\n3250 72575\n76842 91463\n41927 42677\n12678 53811\n35038 90676\n5806 55832\n53665 79938\n59560 81843\n65832 90009\n33092 72366\n94827 99684\n20859 86391\n51498 60055\n26635 39520\n79866 92212\n53943 90094\n44119 88742\n53659 83310\n47832 98840\n68832 81937\n30634 97517\n29131 97134\n49650 66095\n27368 56575\n1103 27873\n47196 77847\n54029 80613\n54031 70945\n22649 56047\n33894 53738\n29369 79144\n25763 77567\n47351 76240\n16023 93954\n23000 75759\n89048 91796\n7437 91914\n26848 82314\n27093 42321\n52175 75616\n71759 75002\n27099 61314\n47769 96912\n40485 62739\n20420 29937\n6627 92310\n19436 39336\n9087 20575\n54673 94915\n10715 33989\n41054 80681\n11804 92019\n6404 13707\n23666 70841\n19837 67991\n54823 91114\n55211 96140\n29437 82685\n60200 97988\n31883 59840\n54910 85502\n38609 75415\n10861 71374\n14210 17283\n15674 95158\n21479 30148\n71705 96764\n53284 60375\n47141 56916\n72865 90316\n48374 63768\n15268 94775\n38012 49059\n15858 79832\n1343 80959\n51976 53620\n33681 65926\n44577 69184\n45191 98565\n24160 86928\n14683 52891\n5255 86934\n6359 7966\n62442 71122\n94221 99342\n12835 72378\n37991 67731\n43841 45557\n70351 78433\n62379 85739\n53693 99121\n7143 74696\n35206 38715\n22517 88084\n51441 63884\n15179 28206\n18622 37483\n2894 17007\n13121 91632\n12931 93104\n82494 93310\n39013 97929\n6503 18904\n20436 48814\n43142 86451\n73161 81045\n18071 27310\n60045 76657\n67280 77424\n23287 24391\n12493 26256\n63308 67583\n33962 44001\n85370 90884\n19405 87815\n49429 57217\n16149 63292\n53054 80844\n75667 76844\n49542 93999\n36120 48439\n28226 48246\n86446 94341\n48108 57153\n43929 94278\n14729 30289\n56566 63777\n37224 84209\n18436 62049\n48827 72440\n15628 64060\n36560 86802\n5106 29429\n27703 68154\n80767 81765\n51771 54520\n11164 55970\n13296 39669\n10953 82307\n35596 73895\n13088 33207\n61030 92328\n33804 76899\n14260 53837\n82831 99542\n59426 93628\n36716 59136\n67016 98047\n90512 94308\n558 74782\n54581 78973\n27866 86018\n25993 30735\n22918 36095\n18424 52812\n5224 98901\n41510 55514\n66690 68327\n30038 61056\n17262 28570\n43601 44897\n31473 40229\n49498 57481\n1908 58626\n26450 85692\n5549 66008\n51000 58796\n10412 98941\n37896 86851\n1057 93536\n59057 82879\n49774 83429\n56627 75880\n43941 82136\n53631 84347\n64132 98743\n7474 10647\n95515 98804\n20524 60036\n64447 84081\n3719 99418\n40957 85330\n605 78064\n52852 81817\n3553 98625\n39951 50776\n3065 35996\n13368 98239\n77480 82950\n2452 14003\n51584 84146\n723 50666\n55875 72394\n31095 50174\n11053 25481\n60358 75149\n64675 66895\n4412 11598\n4982 48492\n62271 72090\n63974 72256\n24264 55694\n6372 50534\n40785 64658\n19216 41925\n29438 96685\n22505 77708\n18691 57611\n35725 70212\n79113 84124\n5945 16008\n78444 90957\n55772 70224\n66632 89854\n16914 76864\n69601 96563\n38233 66236\n20875 54422\n54343 79519\n58646 78413\n24337 98388\n29103 91139\n3873 57587\n41699 63206\n36443 44416\n44489 90533\n11858 41799\n24089 55362\n7712 34525\n20135 67315\n18975 58698\n11413 18925\n5533 68501\n16019 91120\n51556 94157\n27699 82496\n30165 59096\n8761 17647\n35273 54116\n69604 74781\n20459 51105\n36977 66336\n30797 70390\n61994 73543\n66302 83182\n64976 92745\n24922 60937\n34807 43698\n55053 74081\n24223 44648\n19524 69037\n5671 34093\n18208 36266\n22422 81551\n64322 70329\n24978 25040\n85347 85698\n35845 40771\n25759 44588\n457 58879\n16940 84893\n61703 63974\n51261 67194\n82726 93456\n45534 89456\n33781 95986\n74866 92888\n8678 72119\n41193 97241\n85462 85696\n33691 38486\n2987 66952\n33797 53600\n67033 97180\n50040 99943\n42509 49517\n12800 53358\n23792 90019\n70671 88667\n62505 63309\n48278 52050\n91615 93431\n61071 77518\n192 83779\n9433 88713\n3070 59692\n26794 87278\n8347 47434\n46149 89878\n94989 97746\n70026 78249\n75398 92087\n61991 79380\n68667 71461\n29761 48657\n51964 97867\n82525 89954\n69570 96627\n6197 51741\n29067 67370\n42986 59232\n1384 59423\n2266 29199\n38364 71873\n26615 53106\n25069 88826\n73447 74434\n62197 97574\n10884 15465\n86179 90522\n48957 70657\n54971 58154\n61744 88590\n1159 69903\n8232 84048\n48074 90813\n26003 52118\n50544 55498\n64836 72047\n622 8799\n86638 93242\n3793 59149\n13708 98959\n41700 77335\n27584 97643\n1989 95412\n36370 75297\n26874 93142\n6775 69805\n76171 98194\n38086 67834\n2914 91994\n1639 25816\n56874 79150\n57181 92124\n69235 82279\n43530 66324\n5200 11002\n12141 64961\n58901 89722\n45050 62690\n21969 54820\n41475 75325\n40102 43874\n66715 91857\n49532 76076\n8967 28651\n51321 58564\n23008 39052\n30944 55488\n74754 98570\n21065 26484\n31951 83598\n17428 77288\n2122 25326\n1563 70870\n4854 36977\n13735 77505\n48761 66909\n72227 86568\n11480 89642\n63325 94882\n44505 87661\n26191 68299\n25909 87170\n37795 71646\n4390 82214\n7639 63121\n18229 27521\n76256 92865\n8608 65951\n12077 75044\n26688 75337\n26038 36350\n18609 27218\n13636 91021\n6810 86675\n37671 83889\n3114 80904\n9092 85973\n15512 44534\n20443 40360\n26726 45820\n26552 38693\n1415 89566\n11505 27263\n47253 71470\n51148 69153\n62802 76348\n51281 66557\n43485 64713\n12947 88195\n83320 86523\n1710 91730\n85322 87728\n22240 79867\n48683 77921\n47197 84056\n8868 92039\n96039 97982\n22701 58093\n73111 93134\n17100 34767\n11533 88606\n3764 95540\n13321 39692\n32262 49011\n10547 33052\n4912 25853\n15654 22263\n19092 87663\n15632 89800\n76204 82985\n4538 68319\n22435 43667\n86422 91484\n32022 43772\n38159 91697\n22230 24288\n17750 94035\n60579 64568\n15690 24162\n32020 84189\n26717 68479\n16204 60275\n12379 25276\n54290 80341\n59877 89230\n52349 77644\n20678 50766\n33893 50403\n60727 96844\n23529 68439\n8241 55395\n78188 79155\n19345 21893\n7643 43814\n10715 76386\n63560 84867\n42430 73222\n24980 72607\n73653 91162\n42345 63273\n16894 30169\n12963 98365\n15867 84833\n28940 81160\n28519 63012\n7479 47822\n16190 31922\n38051 91614\n24601 45094\n2374 56833\n48792 81507\n26582 98605\n18874 99034\n22713 73838\n60073 62047\n27611 71322\n39846 91466\n54048 58628\n45719 52752\n57602 69061\n26008 90111\n8388 94700\n88444 97984\n13871 85831\n46781 91494\n34587 42353\n25780 69912\n38490 67566\n97791 98856\n21743 78762\n50261 67112\n82111 87890\n10341 17387\n29573 99182\n12384 95835\n42681 92274\n31508 76964\n18426 38998\n63522 74916\n38161 58516\n2287 34914\n23694 83553\n6251 81809\n21643 43433\n68032 86114\n40659 53725\n68869 87895\n57648 72856\n40386 86599\n67039 76268\n965 34723\n13727 29156\n11256 81064\n28515 65318\n81196 85910\n31994 98077\n22518 84830\n23852 37192\n60572 76863\n25143 78796\n43104 48186\n69866 80308\n23216 31259\n60896 74212\n34135 94835\n31880 85134\n33108 41636\n20703 61301\n24873 79586\n66205 98905\n36956 93371\n5713 16691\n23461 25079\n10548 54040\n14625 87363\n2964 80869\n24605 86660\n52698 98944\n4624 38895\n33404 99586\n36547 83019\n26440 98950\n31924 95081\n82710 95484\n67818 71956\n21210 81956\n76023 79573\n46514 70758\n18563 59970\n31511 57591\n23485 88687\n79204 89810\n11537 57671\n11033 66528\n16339 28493\n19341 55540\n15966 81573\n21305 39132\n15522 39860\n31012 40798\n32055 94091\n4917 64870\n32419 74153\n5277 24385\n80369 82309\n88557 89800\n28685 66643\n5363 8324\n38424 57123\n20010 31551\n37343 48174\n37883 71576\n10177 79701\n277 98795\n20260 52784\n57026 93088\n45140 45293\n78884 80129\n15880 17703\n61769 87730\n18429 22675\n8326 19147\n55 89567\n46079 94247\n15649 68008\n8784 66579\n56590 71793\n79490 89852\n12802 23201\n34297 55483\n11174 28971\n23986 59534\n72182 92863\n54249 60479\n53348 82930\n62116 85774\n5622 19406\n3031 49980\n69789 94181\n10305 11925\n27054 35031\n14308 72290\n38888 88233\n42399 54115\n47971 96807\n42754 69607\n29361 60306\n63043 89058\n37970 62543\n10610 24048\n3880 9467\n8483 57331\n12188 23939\n12807 31958\n45010 93362\n6951 79803\n6575 88106\n9681 45300\n30463 84726\n59276 99465\n9534 44562\n72131 89498\n26005 85561\n47516 83589\n66377 72000\n55457 92555\n70083 96364\n8458 61008\n11543 35978\n799 32590\n23796 98348\n23163 60298\n3460 35215\n22647 93697\n40025 65604\n83468 84805\n44994 49134\n55626 74000\n42387 46061\n3458 81226\n18624 63178\n4446 91575\n49711 79209\n39300 67456\n2590 20947\n17155 58249\n67760 88190\n32290 58065\n14266 63640\n71567 86150\n10672 91644\n17880 48322\n38608 64371\n25795 47017\n27695 45702\n70289 99964\n1260 42605\n11243 97891\n12632 94511\n29141 96686\n34341 38536\n27066 67552\n12770 46822\n21603 64675\n24855 54671\n65521 75070\n36929 39401\n22899 71553\n25171 32274\n38059 42536\n22954 94241\n49473 94507\n10745 50576\n67001 91189\n27382 45258\n56648 90852\n23980 80866\n22705 86681\n72361 76103\n41900 79957\n18739 27642\n31672 65217\n61550 93603\n6955 46134\n4532 24277\n89196 95412\n56562 90976\n34562 90088\n48374 64587\n5530 57199\n31047 89534\n20201 58672\n45965 66240\n25974 93198\n90910 90912\n72580 79681\n14118 97972\n67414 90838\n21142 94631\n62967 88089\n50549 61848\n2339 68374\n6111 79894\n12290 32319\n11532 13752\n49454 94367\n63590 74165\n75750 92501\n58092 58558\n32277 78417\n7218 47121\n24509 25662\n14807 59444\n52812 90551\n324 99277\n62005 82561\n9256 84104\n20935 79849\n8862 95275\n71797 85525\n23277 76120\n33247 41063\n416 48045\n48195 88368\n16494 58072\n29507 83853\n78900 94324\n37889 90174\n9232 60951\n70394 78621\n41446 81455\n45351 54564\n43780 86661\n66048 80174\n13104 46181\n48754 92965\n50273 94093\n75816 77182\n60457 95691\n5920 22668\n8552 74561\n1372 95179\n28984 38454\n76698 88086\n28246 29906\n8998 88837\n49220 85408\n33864 37517\n19241 91126\n3771 81670\n38557 84858\n7173 79178\n38982 71258\n79249 99222\n65061 81689\n13859 85744\n23996 72274\n62919 82419\n13578 55383\n34390 72831\n30590 53083\n13857 34911\n62731 67887\n6094 14738\n35487 75047\n53581 80688\n29339 66689\n24223 61793\n12955 16351\n54259 59634\n11882 44993\n46261 51642\n9925 22704\n9746 72901\n4075 87335\n76350 90161\n74952 77968\n53894 54680\n43470 58383\n29271 74750\n4976 81106\n55703 93268\n25202 64473\n46789 91865\n4149 24989\n69836 74440\n11593 18572\n1380 38422\n40442 75940\n24471 96944\n39877 43999\n4692 51692\n2003 44713\n63174 96276\n24252 47935\n6134 94137\n867 62414\n75182 75731\n25600 54275\n1767 44823\n52822 98968\n8096 40247\n18177 48907\n29876 61002\n27879 42526\n27248 30470\n20218 90989\n4 37942\n20851 80742\n45571 57961\n51285 99960\n26252 95575\n18175 33899\n28615 86483\n38682 83496\n44937 72665\n34565 76105\n5044 60273\n38803 89509\n31977 89329\n52175 52239\n68400 92548\n41849 80895\n39542 77971\n50135 85975\n17443 73704\n2102 48539\n7677 72217\n49908 92747\n32065 72688\n93061 95116\n12712 82753\n34833 82392\n5814 77707\n51357 81630\n19623 41069\n23359 62614\n59589 84810\n20130 78570\n33890 76326\n1292 99182\n53428 63301\n42917 58305\n37388 59861\n7175 55476\n25453 46520\n37416 49222\n40874 74453\n34682 95719\n46402 52655\n14612 18898\n37066 44027\n4534 72037\n74658 87220\n22417 47462\n25586 48484\n50068 57732\n33432 60873\n18517 39838\n14381 87822\n9966 76688\n4241 49769\n19822 36793\n6704 65048\n26806 90750\n72280 73867\n39610 85276\n2116 28569\n3430 70474\n59061 98988\n9660 49011\n19270 61026\n40201 96779\n56880 64586\n27663 75518\n33040 84056\n15937 35496\n26543 96015\n20640 88974\n50331 77519\n19789 96538\n68419 70772\n38480 67039\n28462 93230\n6828 34332\n46613 77694\n15707 95741\n27602 57198\n13145 19514\n72198 75593\n38469 39573\n27133 96580\n63242 75005\n48927 95018\n58586 68411\n27761 59455\n78652 81174\n1060 87988\n70734 74813\n28633 47592\n54081 84954\n33857 39398\n18860 35861\n2409 23783\n67890 92893\n53803 98796\n993 10973\n17559 31970\n23423 84281\n69265 80841\n9668 91939\n9693 81592\n2195 31047\n44783 74692\n8390 57056\n35839 95314\n36662 51230\n60060 96707\n33395 47705\n52265 83847\n30605 59076\n23683 85463\n16651 93649\n14448 40287\n32686 68201\n7150 8913\n17175 90844\n3292 34506\n44882 57065\n18115 53517\n45180 87605\n16903 74784\n8156 19127\n17399 23451\n60733 84328\n6648 44609\n26036 48920\n10941 53216\n20493 39879\n76538 97293\n12960 25895\n38854 69356\n18948 23922\n10011 68709\n23325 76255\n35753 58278\n16661 67530\n49193 68943\n35716 62192\n9563 86624\n62064 64716\n86434 86702\n28473 73197\n30045 65183\n2084 6365\n51578 78171\n18639 19985\n26558 27854\n6424 20152\n15257 56617\n23736 61849\n41962 58803\n1334 69082\n47850 77108\n57119 88392\n56005 68953\n9787 62958\n48230 87220\n4232 4679\n42019 63091\n13869 88991\n4672 89967\n35840 71937\n98653 99353\n34459 50112\n44152 66399\n16963 41332\n55134 92957\n9024 60886\n18431 83512\n56055 78644\n27047 47258\n57647 73199\n63469 94523\n61658 90456\n28407 66080\n78391 95221\n52575 71496\n23275 60981\n3503 28720\n29932 47261\n2173 25445\n5122 43797\n46967 94141\n11172 87353\n23659 48664\n21290 50741\n92723 95241\n57289 78819\n12063 13243\n19913 25822\n56091 68927\n17851 27191\n11671 12737\n31155 69414\n23595 58790\n8230 39270\n39154 52791\n86177 94190\n54756 86057\n28819 52461\n51569 99272\n23182 97602\n24778 67975\n42971 67039\n8021 15171\n19810 53237\n29445 60375\n48690 88259\n77304 79648\n51843 79325\n27369 30819\n41771 66675\n54907 80594\n26671 51359\n697 81397\n56214 89198\n57204 98226\n18213 76922\n74979 83965\n5807 29896\n54031 93417\n21988 87861\n71110 81927\n28098 65762\n89381 98993\n17452 98770\n8972 40184\n27079 72804\n79186 97028\n33633 59180\n55387 69867\n17690 78910\n11820 67283\n29612 87504\n23400 78556\n23322 62833\n2163 92604\n21499 75663\n56239 66350\n10906 70318\n81974 85556\n42084 47744\n66624 72103\n24079 79690\n53071 92007\n9316 43456\n17867 46668\n37161 67120\n39237 72343\n17597 78546\n948 85100\n281 18798\n29976 58131\n53529 72115\n63371 64475\n15135 19864\n71648 83515\n7517 82005\n31204 35881\n64100 93563\n72398 93644\n13047 84911\n11223 62523\n53206 90805\n8268 79971\n51004 58689\n11743 40495\n55181 79554\n87014 92895\n9351 83032\n85025 87504\n84986 95730\n59260 80777\n49715 70451\n30386 61872\n44411 46638\n29271 88024\n9513 81740\n15894 32312\n82470 88575\n12593 82340\n29274 97814\n67250 70244\n44159 66845\n854 22427\n10023 38545\n43428 83782\n61040 81593\n6295 14796\n23034 68991\n8782 15223\n61311 81429\n51501 52072\n64861 72560\n24373 38238\n43772 47576\n10565 71274\n10412 81332\n11379 85962\n34136 82493\n41849 49191\n47462 82329\n53250 83356\n22126 23021\n54042 94577\n58826 87477\n61733 64654\n34755 67153\n46268 47635\n14258 93262\n1771 8485\n55264 61361\n90399 93238\n51520 62841\n8438 41908\n33173 92150\n13610 85574\n42671 92527\n5229 28850\n72787 84792\n2574 94031\n52935 73561\n17697 85856\n29638 99728\n65941 94377\n39656 86428\n86121 88641\n25523 28581\n18921 85617\n17776 67063\n52265 93518\n77290 84035\n13990 18828\n59399 84323\n3941 87063\n20142 41172\n39742 88147\n46567 78059\n15194 68318\n71636 88684\n13026 62768\n92671 96027\n3076 85454\n46700 73315\n25659 75239\n1748 36691\n66264 90948\n9528 32872\n58486 88341\n46751 86871\n6053 73024\n65546 88881\n40343 92970\n25957 46120\n14807 23945\n4848 35946\n66919 97403\n16575 98299\n37045 97530\n72076 92477\n83069 98935\n50904 83470\n71670 73813\n43008 85827\n42068 87362\n32800 90787\n56922 88500\n19302 70149\n51482 76997\n12900 92812\n21034 67868\n42965 99059\n69060 92168\n2481 47813\n2740 28323\n25186 89415\n2188 74109\n7713 66201\n6247 15566\n29399 67813\n35593 52518\n43349 86919\n749 46286\n31888 73722\n25074 26605\n10997 99466\n77742 88899\n6659 70493\n45159 64772\n17099 59202\n26046 84921\n36953 65746\n27078 72207\n37115 93300\n79229 98839\n22029 89111\n16507 45251\n25863 94896\n8355 74556\n46474 69804\n65580 93721\n49055 72803\n44530 54890\n27981 61349\n5668 10842\n426 85076\n6635 90345\n44054 76214\n5639 69107\n17198 69705\n27332 50799\n47530 56621\n25572 68379\n3214 53436\n81793 96839\n34012 35231\n53680 82253\n23422 76067\n12931 66330\n73305 77027\n52789 56967\n63162 91242\n20121 77093\n44319 71546\n40337 95536\n8613 26962\n22934 57207\n60517 90545\n63341 66145\n1534 4988\n22075 68361\n25152 59462\n8525 74019\n7900 35403\n2399 81184\n34139 54007\n35161 75698\n38978 93934\n63117 97038\n52108 88567\n1616 86466\n6580 35919\n40359 90726\n5278 88191\n1867 81596\n8603 85986\n79304 95143\n35455 59893\n20344 55782\n31853 82566\n7728 73295\n24189 66239\n21292 33135\n21954 81756\n38743 53365\n58170 85826\n27809 94376\n5448 86010\n22624 73071\n8170 37475\n31249 91164\n40059 90537\n60347 61584\n16944 61744\n14892 71001\n41554 70603\n20543 34108\n89161 94828\n26255 68730\n78190 80999\n55713 79143\n23836 50309\n49571 65492\n10105 42602\n56813 88648\n24467 31869\n51411 95971\n40076 45430\n25233 76249\n45327 87420\n8562 93112\n43372 80986\n43842 49088\n32691 85375\n53490 54949\n29312 95745\n88782 98394\n62588 75764\n50474 91294\n39823 43800\n35363 42131\n13510 33530\n35464 46004\n4127 10233\n3412 61586\n62953 84935\n61823 76228\n73000 74596\n7935 24322\n21015 72785\n59206 92673\n23104 54999\n5880 15101\n33207 43149\n21272 80908\n56376 78756\n10748 55089\n37388 52705\n2490 47157\n48143 66177\n18037 89200\n3297 8197\n21206 70108\n30813 35080\n49128 80022\n47006 47701\n52141 74592\n80023 92686\n65230 94601\n26805 59966\n6742 56801\n55224 70692\n1073 33138\n55325 80507\n51811 58775\n1876 76005\n22574 90264\n56381 94945\n22208 76662\n21175 75092\n31749 87567\n31903 44285\n65745 87002\n21857 45421\n15361 51127\n21852 79380\n26119 53143\n19648 70500\n39523 63235\n40731 98627\n27058 68415\n19575 30924\n92975 94108\n67658 92482\n14772 63057\n13826 72756\n73382 75262\n25132 71157\n9894 49640\n49879 69621\n61729 66813\n13401 44823\n71081 71360\n70460 93683\n50283 51679\n8314 54997\n15190 77482\n45658 59964\n22929 79130\n35759 61371\n9706 18138\n35088 75383\n79130 96012\n16009 33519\n30400 83871\n26011 63427\n10637 82879\n77861 88127\n18015 66431\n67556 85948\n55144 59185\n17362 96963\n79126 80218\n16043 16441\n85360 96796\n11961 70391\n45458 47632\n34220 42104\n71586 88669\n79493 97980\n55236 82769\n58985 94744\n52491 92092\n58357 77978\n24929 78984\n65984 97814\n91886 97415\n84136 92835\n13479 78718\n11266 61651\n27344 40972\n56182 67361\n25628 59403\n23809 85576\n52990 56125\n38737 68276\n22327 74096\n45313 57669\n7054 73038\n14358 83645\n12660 31447\n32809 78173\n13645 30495\n33512 97505\n34879 64662\n13472 69711\n75543 97088\n90110 93599\n4698 49046\n61520 76875\n1253 83091\n121 75307\n73743 98226\n50248 80018\n34526 79203\n30604 58825\n25794 94311\n15664 84261\n45242 49717\n42366 97948\n7996 62427\n78905 98391\n8237 76061\n30200 83794\n4613 82700\n20526 65639\n19466 57963\n37778 60345\n11539 56387\n11582 13653\n46408 60813\n68287 70060\n83435 94777\n35745 70433\n9721 14631\n85204 95156\n48016 77808\n32688 47573\n56204 70126\n50405 51250\n8641 98006\n70315 99783\n15410 46846\n26165 33985\n76360 94385\n35755 57746\n58910 71225\n31304 84770\n29146 90752\n47519 63737\n38067 47521\n97469 99854\n32787 52721\n53336 66701\n13204 75358\n49077 97792\n53148 79961\n10579 14590\n41074 93083\n12639 77577\n75182 93841\n58063 70990\n2400 42672\n74104 76419\n54032 56543\n71245 77740\n76002 86833\n10588 19513\n52559 92372\n3890 19768\n47637 76737\n14658 72759\n16277 69036\n83025 90631\n4349 87322\n80782 88540\n100 25772\n72169 74877\n14284 90241\n42858 80049\n5634 69710\n76130 92644\n7355 56754\n8757 55866\n30510 97282\n46952 49480\n24596 92625\n14920 75026\n5339 98386\n28115 37254\n78338 99405\n4681 91935\n12053 60167\n48565 53665\n58622 71481\n55372 96381\n66893 86270\n35731 77415\n69828 90860\n5256 15981\n64341 90418\n5175 91958\n67845 70063\n45360 61018\n56214 60651\n19943 58620\n10460 38284\n5167 74295\n8027 28380\n53210 79280\n57119 81219\n22566 83272\n79864 82912\n718 12873\n36176 45229\n73098 96126\n17955 39314\n63176 65002\n41456 51335\n70912 77146\n28572 33521\n24240 57138\n2029 18917\n19503 67851\n8061 20261\n30829 85105\n29203 76175\n13659 70446\n40810 96627\n4916 25163\n26213 96147\n77079 93850\n11895 44770\n75280 76394\n43660 86613\n9850 92811\n6548 57687\n13379 80521\n18019 93324\n20505 38765\n9233 87269\n47357 87380\n24625 89008\n92192 99385\n35268 94906\n28829 81383\n10359 11019\n43454 81269\n27413 35908\n7732 43673\n77864 97188\n52020 82876\n5098 21226\n33932 47144\n35756 79223\n18866 20885\n18066 40922\n56299 95940\n10378 59447\n30828 84232\n57989 91881\n32525 49043\n40369 77360\n15421 98751\n1663 97982\n28415 70381\n86894 99550\n455 58022\n27868 54788\n57333 69575\n26320 47217\n22052 30123\n17339 39460\n50558 98768\n27081 90798\n20608 62919\n47953 52252\n18144 52448\n35623 50499\n32034 93970\n26335 37967\n4212 80174\n59958 79625\n67485 75810\n12639 23372\n24954 39263\n55649 70403\n40324 56379\n56382 88463\n51482 61224\n45568 51316\n3773 22570\n51495 86280\n32377 86398\n48620 69397\n90742 91039\n21525 37611\n60672 74848\n19151 34039\n92654 96385\n14823 21307\n8916 41193\n18187 93914\n34544 45834\n49202 81580\n82241 99518\n22853 62104\n32276 83143\n51615 51752\n4321 79339\n29273 60661\n7329 43468\n58801 60999\n6088 59827\n69321 70101\n71802 97120\n16027 23153\n43722 96936\n1709 41477\n25399 40617\n61487 64118\n37741 92495\n36133 37412\n59587 65594\n4029 95355\n2947 23085\n71101 73714\n40064 85356\n3219 18486\n58446 80530\n48822 79302\n36940 95118\n19384 33109\n11666 64905\n56629 98973\n38682 92100\n32656 57713\n29497 53654\n16182 91858\n18163 90495\n14438 68112\n24426 35715\n23005 53111\n75803 92660\n54393 91447\n36167 58225\n35709 90597\n90764 95094\n26181 96798\n21076 33283\n7698 40435\n10235 11991\n36383 56804\n29621 81633\n60162 63056\n41036 68716\n9850 94166\n15894 85434\n75910 77240\n38584 81561\n44442 96367\n31330 36658\n49473 73800\n7338 22052\n45137 78724\n38897 72407\n59168 62992\n65343 92129\n33857 80424\n29156 33259\n27774 61570\n53039 91256\n68038 71359\n69192 99574\n56334 85842\n7688 58142\n14026 50953\n20132 60038\n4086 6251\n45948 82498\n56937 96606\n17911 92007\n75231 99713\n959 68640\n71632 90686\n41320 67649\n22509 94924\n1317 30771\n21223 94010\n7608 83519\n65948 67903\n41168 60312\n7409 46585\n2250 52250\n45790 57081\n22595 53242\n39825 87541\n7459 94278\n16840 26170\n21104 42805\n3545 83014\n40844 77638\n15473 18301\n21482 69375\n8284 55746\n7192 44307\n29408 47611\n62207 81885\n10995 16329\n69593 86682\n75997 84618\n8511 28734\n39649 57822\n23309 60109\n63117 63329\n44717 44723\n84537 97699\n55017 71142\n27672 47310\n1890 38633\n64798 75541\n10360 48406\n51082 66463\n8863 32810\n3166 96464\n46476 58639\n26941 47089\n53462 85418\n77607 85192\n27126 44688\n74650 97498\n26719 63594\n10941 85864\n35415 80298\n25978 55894\n26586 37820\n35400 38787\n38303 85355\n3515 73656\n76824 99392\n23214 33361\n63771 73956\n26937 27305\n18414 73103\n24651 44465\n49515 78300\n34905 72253\n11225 31130\n40246 42152\n14332 16076\n48912 95274\n23278 49610\n19104 99101\n75529 78107\n18675 54477\n94581 99912\n4570 92776\n81941 84768\n20938 71320\n14568 45180\n19080 55757\n40177 76153\n15976 75642\n4493 96307\n50318 77387\n38445 60364\n20317 59063\n3304 16824\n68532 89309\n66173 70473\n27824 82004\n48140 92284\n13698 25099\n21633 99440\n49100 94224\n53968 66300\n68195 97680\n75997 96873\n49625 86918\n44554 87001\n20565 94575\n14558 61912\n9836 95672\n5210 48837\n26956 85693\n11753 25463\n29927 45172\n21879 34116\n42781 99554\n8778 96354\n6214 78322\n15019 18098\n14408 83806\n17904 78915\n22952 78076\n42366 80264\n38043 56288\n28133 92151\n14226 52968\n47628 94680\n50768 83735\n13687 50567\n1159 47327\n48756 84055\n13416 48802\n20006 33385\n29836 92565\n92404 93394\n39443 71732\n32239 78788\n43527 56925\n31244 83005\n3014 11427\n57973 86261\n26074 66494\n19844 21952\n18942 23537\n26632 86871\n7152 38780\n45485 83759\n7249 78485\n6886 12607\n4448 35401\n21069 25404\n83074 87640\n87156 94577\n21443 79839\n31351 45982\n72868 88982\n28347 95878\n59940 74693\n18997 98499\n37771 63952\n45203 97952\n75027 92893\n18322 48929\n61867 72540\n46811 85219\n12525 80453\n86001 97063\n29892 31364\n6849 61511\n9501 34836\n50105 56930\n77498 77988\n23933 62862\n15164 36697\n47134 94233\n11742 86616\n64018 92145\n80771 93378\n12639 69680\n28409 67504\n10068 47759\n31754 64552\n6294 8753\n887 57994\n20351 29781\n16545 19845\n27686 30791\n11141 21106\n10243 92384\n4245 13559\n25073 60259\n16434 62924\n69107 83725\n35627 96282\n49694 54851\n63905 70000\n34907 94902\n32228 83111\n36445 62953\n1401 19221\n71273 88065\n38614 44733\n5731 6128\n28448 65665\n12646 88046\n6662 44003\n56888 86330\n39495 64454\n20364 43278\n58391 69156\n35108 53832\n5735 11071\n2509 5930\n43312 79272\n62408 66498\n39417 61318\n38270 78147\n12588 94938\n3493 77213\n21815 38057\n27623 32859\n2143 42774\n14348 84715\n52860 71475\n39241 58410\n11481 65859\n60226 79216\n41838 88880\n54544 82553\n45688 98919\n73733 95231\n73765 90365\n16809 88397\n22821 91581\n31028 73927\n36282 84497\n9076 65617\n74698 94851\n63270 80875\n5974 21399\n43120 74987\n24875 91759\n45662 60555\n22113 44969\n31370 75425\n12874 50040\n24483 85432\n26840 34239\n34196 76414\n4076 80797\n6754 27821\n58539 88240\n5275 45152\n48084 70607\n43853 75578\n22179 29609\n86528 98123\n47374 48748\n55271 83658\n5622 22159\n12492 58113\n27346 97288\n16827 56651\n1704 4205\n15655 47920\n1206 89385\n34669 45201\n54747 75526\n82261 90270\n13691 48124\n49961 79069\n41196 53456\n15131 40684\n21924 37167\n9105 25457\n20528 75766\n43484 87789\n19181 97718\n61917 93944\n4536 50858\n81965 99688\n7492 22903\n2420 4727\n53615 58461\n11758 38119\n53277 70663\n72138 80985\n28836 95413\n17368 99988\n61665 87431\n53369 82937\n18456 19873\n7913 91561\n28326 65220\n6510 50302\n21161 87794\n7393 35418\n42144 80071\n2278 12097\n17193 41940\n28313 44324\n69636 70821\n24114 30626\n37037 75341\n91622 98968\n60270 94146\n16833 29194\n11884 31851\n45206 89767\n42651 61090\n16722 77550\n25155 75411\n13759 34660\n37969 76371\n20787 40030\n11613 12388\n19301 46856\n51063 91412\n35292 99829\n22172 39628\n21041 85895\n9992 95954\n7344 23692\n51819 74394\n71302 94400\n49548 65542\n47628 89067\n44129 98564\n23726 88075\n29685 60661\n33412 52157\n3057 33455\n28232 28800\n24723 32968\n28611 75372\n11933 44850\n36254 59838\n44337 62519\n14301 91097\n13112 68540\n23536 45185\n7952 96246\n5849 89998\n24827 84426\n19565 55474\n17808 47148\n22425 38297\n46809 96423\n23697 28290\n54403 89287\n16915 75763\n4057 35915\n52379 75350\n45500 59079\n37389 47268\n3949 78599\n29870 42050\n30586 80824\n20119 84886\n24857 44673\n8493 23685\n56585 76318\n30985 73305\n59837 85730\n11183 57871\n53312 65678\n17812 73736\n24509 80068\n49435 73569\n21168 91336\n18702 23293\n43437 60945\n4300 42120\n1439 58572\n7902 30321\n25134 59709\n34515 93050\n2541 56693\n35400 95418\n25334 54856\n11042 45580\n13983 69555\n43320 80202\n67459 93544\n27508 58407\n23002 84752\n28734 93739\n15138 66667\n4141 53878\n17964 73784\n4340 9182\n8286 69213\n43101 71245\n10667 67806\n23125 81699\n20397 57729\n14059 80620\n72168 98223\n28114 88871\n28776 56577\n6393 43375\n62872 90587\n3265 53143\n40270 54723\n31437 81624\n8774 19146\n31776 92557\n74651 86850\n12075 22855\n12834 68933\n40455 47995\n54219 55437\n36287 56348\n34633 37742\n11628 67494\n1367 67717\n46151 48934\n30588 43597\n11432 11902\n34181 53280\n15467 28731\n47706 62015\n36491 68360\n1919 23422\n17499 35747\n3058 63468\n9578 51827\n16552 48462\n13942 48768\n72077 86037\n29664 62312\n11880 56837\n35914 80933\n56934 68739\n31938 62844\n26204 98602\n61864 67928\n10970 11011\n68940 98798\n39080 94764\n39631 39975\n62155 99583\n40940 83854\n9034 90316\n51431 55660\n87884 94764\n3109 93961\n8461 82227\n83846 94774\n13692 78845\n26137 76376\n15883 77481\n1668 85944\n23277 43987\n72125 89530\n44489 71727\n7724 39373\n20766 26201\n822 20939\n19768 90754\n4152 39803\n35028 54877\n1954 52091\n8873 72921\n61898 88030\n30163 57146\n39742 68298\n14344 71635\n41879 50302\n13852 28683\n21261 54300\n11631 27189\n31341 67450\n2403 54691\n20320 33666\n76258 79054\n86086 91585\n25149 45952\n56374 90524\n44960 46808\n9791 79825\n55902 71377\n2767 60897\n70976 80486\n11923 27998\n9805 86002\n63253 88204\n86204 92448\n24792 54716\n55929 80519\n56157 73684\n4366 28174\n57237 89572\n1970 92386\n28984 75918\n44220 50674\n3924 54569\n5949 82413\n17873 68658\n34150 99947\n15875 41341\n40124 47177\n13463 85584\n19156 66005\n32128 41546\n22798 54655\n92518 98145\n44791 59937\n1200 14737\n26413 92438\n43571 59166\n25555 37757\n57900 84318\n11280 64748\n38066 58908\n16107 69238\n10696 74530\n2401 34628\n29910 53740\n7425 45443\n40444 71901\n5465 5825\n50672 69435\n14339 70560\n27913 85968\n43890 65890\n89745 89777\n46296 52292\n20871 50263\n40145 96595\n32555 96177\n44463 64770\n71013 74658\n53074 84285\n19893 46509\n49777 73215\n34575 87793\n10084 68500\n42952 98596\n13233 13586\n48905 94694\n24676 64490\n16658 34904\n13959 65199\n25698 74216\n15187 54968\n75375 76014\n3684 69726\n30678 44413\n4431 6768\n2029 7942\n3585 53961\n20153 61593\n21509 30127\n37814 91056\n21757 88785\n20423 82000\n7053 43785\n47361 76697\n16204 69742\n6116 38034\n29107 35036\n63819 98261\n6421 78907\n15538 21428\n23874 63894\n6245 81078\n4343 24497\n23978 39478\n64208 88363\n3540 58734\n3984 79506\n34919 86072\n37648 74052\n18183 35589\n399 16988\n7283 66725\n29983 91124\n78495 83840\n66930 86095\n1113 91507\n17940 32515\n50767 83133\n82249 87322\n28208 75320\n4890 66726\n8519 77063\n65690 95559\n25708 97824\n25293 73052\n31017 87750\n21701 71473\n54732 69045\n78858 91306\n63036 65401\n73996 94355\n36051 61762\n7463 71222\n70130 94311\n28135 47696\n20439 97658\n7616 69411\n43258 62687\n31899 76514\n28636 34962\n15721 81677\n54372 86895\n49468 49989\n61089 94920\n23033 29926\n67504 84376\n44443 90678\n6576 50313\n82364 94921\n16056 74104\n5881 65543\n13539 33729\n77729 84040\n20862 74813\n46932 52866\n26725 30875\n57784 63711\n65263 78235\n44638 74585\n72673 90662\n43869 87720\n39140 79851\n50862 67769\n9587 61108\n90003 93042\n12121 39137\n40770 64496\n6116 73400\n1799 30590\n734 50655\n44592 89175\n13625 97743\n9205 94315\n42360 42769\n18556 87039\n95413 98597\n11276 15909\n52003 98268\n617 24878\n24919 98242\n23050 70172\n42511 60315\n38049 92532\n43047 50702\n5048 14895\n12491 71323\n5863 82425\n19098 94527\n36849 86391\n21316 37228\n168 77515\n6969 81495\n29323 32460\n55569 90800\n37195 77647\n28673 45267\n70691 92766\n52682 87404\n10603 48130\n6111 37672\n19723 27997\n28352 68344\n41506 72609\n14107 52021\n17548 71132\n26219 88172\n3546 33525\n4530 72597\n44929 93407\n28096 41511\n10695 36049\n7107 63117\n38707 62287\n6113 67401\n29762 64706\n44849 94443\n14514 23644\n7170 55525\n68584 85783\n64096 91190\n76972 95724\n10605 81802\n49923 73380\n46710 76717\n37728 55561\n71558 79923\n27786 52110\n27677 62244\n40893 66021\n7365 78169\n18854 32675\n29586 69520\n38920 52305\n19356 81467\n32396 75800\n34017 36908\n22554 65638\n52776 66777\n43529 94384\n19647 35523\n40104 49383\n33937 73648\n1688 86336\n41784 68911\n36436 88015\n45606 46733\n82265 90706\n31933 55564\n54370 79063\n11868 29148\n13238 15229\n29900 61931\n28030 52140\n2856 61916\n44290 75779\n23421 99260\n53023 61730\n22326 49449\n42735 84982\n92284 95657\n26431 76559\n16039 45215\n22487 39762\n11298 22521\n6355 53439\n4400 93781\n54317 82392\n14281 20833\n46218 53568\n58877 66379\n49877 94098\n81784 92438\n34348 57060\n30456 35694\n13497 32988\n57676 65956\n11294 84522\n53601 82213\n59680 79303\n19610 34742\n21040 47442\n63613 87184\n30685 41031\n22424 69712\n40611 82176\n18098 95335\n9439 59251\n14383 34863\n79455 99210\n40856 76218\n45332 56536\n82729 85962\n19726 21116\n10724 95528\n11051 71753\n48069 58003\n71886 79063\n43447 48592\n28805 57375\n11499 75348\n25730 81002\n15699 64838\n71689 96001\n31573 36678\n53187 67166\n67796 81651\n36376 57391\n4878 49321\n43352 94808\n26340 83646\n73570 78270\n6485 93076\n55070 64853\n27050 81341\n21900 55556\n7117 98487\n91637 93587\n28857 53557\n1785 88632\n26536 63734\n849 17685\n52948 85146\n59512 66571\n15464 44980\n4720 70809\n15119 71567\n40149 59377\n60557 81818\n90186 94593\n53595 91200\n47122 94947\n41164 95582\n8429 26422\n30760 46555\n2078 29735\n31349 88684\n30342 36516\n45754 86058\n20399 63675\n51722 63785\n54945 73267\n19965 82424\n4860 76547\n30202 90934\n64205 64760\n42653 93800\n41199 62325\n11387 46852\n16926 53148\n51559 78251\n19631 37164\n12671 91547\n24394 40894\n6927 76186\n31655 96651\n22120 45880\n22274 39285\n83173 96859\n4046 31523\n70769 83139\n28321 44718\n50897 64623\n69952 70575\n14718 36085\n41272 70582\n74288 97458\n84206 86759\n57226 94351\n7246 98289\n24525 63769\n16405 66590\n42442 56431\n49597 66578\n40695 54177\n73890 84103\n48306 49186\n4781 60983\n5222 81517\n3684 28702\n58417 62929\n12104 68858\n15396 64502\n2003 58929\n62578 62910\n3525 55947\n33925 87711\n912 8001\n32066 50221\n76541 98488\n28883 98264\n25346 42832\n50511 68055\n9698 86288\n46016 65330\n6710 73692\n30976 75961\n63787 80245\n13817 16485\n34193 89899\n13230 21589\n46194 59782\n1365 44600\n70949 83227\n37819 45942\n60182 92526\n9031 25796\n39642 91159\n34541 91293\n33962 50753\n67727 95478\n13627 80031\n25405 93088\n79894 82764\n59991 84352\n47331 65831\n10771 80633\n16361 89747\n58355 71105\n69473 76329\n51367 90580\n47998 52320\n4953 19900\n13828 91081\n2474 95397\n24486 81115\n25646 72073\n10318 43562\n47948 64396\n30795 40598\n36043 63472\n17655 50091\n17138 36581\n30745 55334\n36262 99823\n11204 58366\n24232 96758\n4738 95522\n86094 97377\n67790 97110\n25650 70134\n14985 45705\n14277 85514\n10682 24165\n23672 83787\n36042 87954\n5558 64719\n5217 12824\n15094 74727\n31723 41926\n1202 75590\n40940 46592\n83730 84710\n1695 49414\n32908 73119\n17584 99577\n12463 42944\n16691 49009\n16164 23483\n38978 89555\n79518 81521\n19280 62412\n15460 26884\n89243 89372\n50379 85077\n80234 99636\n3886 84916\n24426 92376\n66704 71217\n41561 69477\n38062 84707\n36351 60222\n13540 15907\n44828 52281\n72452 76860\n4276 63862\n44066 60006\n2300 26984\n48082 76226\n41337 43782\n38400 40206\n19362 98745\n8436 33146\n28867 91113\n54776 94331\n28832 36546\n12126 64336\n36405 43390\n30253 40322\n70043 70659\n46450 71218\n80571 98885\n69783 83905\n11376 81118\n21773 73980\n57261 85205\n13938 93752\n88224 94602\n9304 51354\n22968 32595\n18307 77474\n5425 61291\n67722 87713\n71530 72665\n36413 84175\n7703 63536\n11082 31822\n35143 58266\n14702 51051\n52799 61297\n5391 68634\n25903 70425\n53597 66341\n44969 97736\n28701 59584\n10180 97052\n42565 97189\n242 48178\n325 71585\n56431 74131\n64770 80514\n40691 42120\n25746 91045\n3634 16600\n15767 77429\n3578 22386\n25127 75196\n18430 35662\n1115 68148\n40832 53577\n45206 52539\n588 16554\n8003 73440\n14636 22073\n12908 90994\n50312 99138\n26551 69049\n15474 68093\n62935 74259\n78591 83297\n59825 86157\n15467 45702\n77609 89407\n26399 64030\n4985 88166\n35815 92401\n743 92180\n75904 81446\n4384 48630\n61726 73834\n57554 86079\n4578 87518\n1641 64865\n32348 90639\n37961 46615\n28820 53989\n36875 51365\n77426 90168\n48694 72463\n19228 62601\n15948 62114\n3737 44413\n35157 70755\n13920 66519\n13402 22899\n17197 95357\n69966 71028\n76777 85730\n30844 82827\n62930 65173\n42051 75477\n54478 96180\n2933 47445\n62039 97259\n15960 95866\n30570 98943\n44498 98582\n559 10324\n12437 16363\n51460 85568\n3136 48110\n36819 74024\n454 37763\n17193 31904\n39015 69517\n76917 81239\n12753 43835\n23397 43191\n13124 53190\n1803 34543\n78895 88931\n6216 30288\n67150 78381\n68758 71860\n60348 75566\n9756 78868\n23138 63058\n5990 58952\n24594 51197\n42573 99912\n14548 75415\n3390 77427\n14120 55127\n3833 23511\n26637 32476\n59690 59751\n53359 70004\n35699 61813\n20501 33622\n22196 86335\n23082 31574\n17121 99721\n50563 81634\n6660 42911\n12669 83796\n53627 60387\n12619 20076\n19751 26097\n66856 99051\n28855 49466\n27702 86409\n17072 93177\n54960 83150\n45861 55107\n43190 45941\n26290 44826\n79911 94561\n43942 88779\n13187 40437\n16126 52509\n84045 92252\n43183 45902\n21312 30148\n18669 48619\n45420 92856\n1278 49419\n77902 80664\n69952 96767\n16749 90274\n5857 9310\n35315 43437\n42561 92810\n4759 77577\n41698 73614\n14658 41330\n33859 64809\n54986 88518\n14525 49824\n10423 54563\n23298 34786\n61493 91316\n33204 79823\n25244 81423\n23095 24781\n13922 38931\n44671 74928\n18538 85665\n24455 45257\n6529 46788\n432 47503\n24140 32433\n88143 92652\n22775 92590\n26396 59712\n30598 41226\n71694 91752\n2072 6614\n44731 82337\n22383 39664\n56497 79079\n15078 42774\n44151 83245\n52282 94151\n41564 75966\n14966 30055\n15636 53683\n33019 40564\n70100 83052\n27196 77311\n39171 60929\n25787 62089\n48755 74455\n15295 73712\n18242 77307\n55620 63046\n70936 78995\n50971 79513\n46290 85846\n43200 58829\n16179 17814\n364 55804\n42932 80693\n6198 75852\n7538 91761\n42271 89847\n5927 96498\n36737 83871\n62003 71838\n11965 14869\n59514 96498\n20132 55386\n310 86847\n28569 52514\n4417 22032\n52731 54201\n18370 70384\n50257 70394\n52548 69942\n86211 92475\n44805 46935\n22528 55256\n42823 96922\n38124 44103\n24316 37722\n30108 61049\n50630 65721\n19704 51892\n18512 25107\n4898 93003\n26662 53017\n8295 41055\n88540 94029\n11089 46200\n30549 76537\n42169 96078\n3745 51601\n4524 8221\n46040 82834\n17481 60786\n35417 94795\n19934 59624\n15834 78563\n8582 91377\n66548 80612\n34881 66472\n19921 20329\n54511 76208\n57839 94148\n58147 92610\n49891 80485\n14934 23023\n25957 37995\n13860 58054\n37956 61969\n63415 86459\n78074 81756\n52019 60365\n62087 78152\n1818 83084\n33058 90220\n7307 29740\n70705 71544\n70305 95594\n53839 70065\n15554 39250\n5972 16631\n70186 79597\n67671 77218\n53685 98470\n15296 88726\n44840 49592\n59740 66960\n82696 95631\n37599 67841\n3122 44946\n75471 86245\n25518 32508\n5163 36302\n28927 72107\n10788 52633\n1737 53119\n33811 77315\n4833 19198\n39756 68793\n15532 83657\n76943 79766\n14382 59435\n33357 98803\n58998 60303\n26895 94369\n63654 63853\n52482 91207\n35891 49926\n10656 39768\n25011 51343\n70622 73630\n42230 77709\n21222 46035\n35678 39215\n39158 50688\n11149 56737\n4333 83830\n6842 72265\n6428 45833\n66126 90670\n20075 57098\n39302 96641\n29091 59037\n39837 99692\n27228 93459\n35849 41987\n14120 18364\n14101 74948\n5941 39052\n61555 92821\n23071 43281\n44311 85711\n79144 96563\n90026 93151\n55688 60107\n66782 78290\n19876 34111\n15303 58187\n38180 46292\n38306 76876\n3335 7906\n35259 97088\n8483 55265\n39857 46406\n79985 94358\n7541 49376\n2437 79539\n80812 99327\n54560 83950\n19616 80101\n46807 59598\n14145 29816\n73565 76790\n22579 53320\n16699 91029\n56325 91028\n90916 95079\n64490 70454\n33100 52530\n7532 82806\n42936 98085\n10607 78130\n39796 66871\n27495 90437\n65015 72382\n11403 43921\n76877 81370\n2846 69935\n30387 61989\n18628 24814\n54413 55517\n18543 53175\n20704 90674\n30621 62256\n17773 74791\n48691 99951\n14524 66893\n32320 97874\n26920 35787\n36949 68564\n66978 76805\n39166 83521\n92807 97418\n29306 63225\n75672 92350\n16810 64003\n38241 70290\n906 75152\n27736 31650\n15696 82580\n8485 98830\n50799 66421\n51599 87666\n33439 96312\n11375 52889\n74450 80087\n20574 60557\n47372 72189\n83961 92843\n37014 95928\n39986 74601\n87445 98242\n23076 28518\n35179 97412\n39702 69254\n64230 76524\n27256 59072\n14698 48782\n50133 83475\n6288 93114\n10361 21884\n68908 69639\n30624 85926\n11663 96721\n14080 28750\n52948 76987\n3550 26050\n2146 35805\n7267 58812\n25548 89495\n38 13434\n55847 94036\n3356 29391\n15395 98599\n57088 65474\n54060 98105\n46782 97702\n19896 38804\n25462 87923\n24566 42859\n27048 63502\n70662 97379\n47077 76732\n8042 31300\n58658 83235\n34168 64239\n31768 32554\n83722 93075\n18452 21170\n9255 40597\n66228 77930\n37614 71240\n21911 79870\n80271 88956\n75153 90538\n77918 82409\n12448 73363\n40590 91216\n26049 66301\n28005 30845\n51273 83409\n11246 68748\n3003 16186\n19834 84033\n5126 37309\n34449 70560\n33920 62348\n53121 92206\n8066 80790\n50260 63511\n13039 61362\n47041 59478\n65152 69198\n7164 44982\n64298 88362\n20194 46602\n68779 74405\n40910 93256\n42888 95105\n56967 75647\n8225 81843\n27162 87061\n36086 52843\n34337 49457\n15476 22037\n3585 98336\n36884 73117\n14045 50018\n25528 44647\n3017 55740\n61180 73279\n8668 31178\n12306 72684\n42232 79617\n62638 92442\n2614 54211\n26017 35072\n22143 66346\n15952 80192\n2028 86568\n46436 96864\n31065 35583\n7867 74387\n37000 43722\n82325 83528\n4849 22046\n8804 83601\n38295 81195\n36527 45469\n427 37045\n34539 66240\n28613 67858\n21731 25530\n9263 81463\n24848 40311\n43931 80918\n68576 82275\n63766 97336\n19228 28103\n52230 74914\n10393 11598\n8600 43008\n829 88970\n23763 70878\n65090 67843\n31444 69893\n84905 96906\n5995 25182\n31544 91408\n61356 75438\n29872 41869\n52202 78254\n10949 89366\n8520 24449\n34286 95825\n35592 60685\n53357 79712\n43323 83278\n35909 88654\n2420 96340\n22239 57696\n38093 79667\n27419 95238\n11453 21307\n42146 49298\n78895 90244\n71925 72244\n2677 58630\n30014 40796\n15775 54679\n26763 72526\n29688 87994\n7991 85488\n57868 75174\n88723 93187\n31158 72494\n8531 73173\n18885 47980\n34240 92062\n24411 73253\n40558 61397\n31633 78104\n6442 89723\n66400 98799\n2957 94742\n50434 63001\n49113 62744\n4365 8979\n18074 81273\n29968 38311\n68309 77938\n16921 32476\n20114 37940\n90923 99396\n2171 44758\n11660 13292\n14056 87651\n72716 84066\n41132 52492\n33658 61035\n3360 63963\n20886 98181\n63286 95025\n37804 44691\n68702 78134\n443 70042\n21277 84855\n32607 50153\n26438 93918\n62456 69872\n30804 59784\n81994 84331\n17006 24226\n10913 81901\n41268 55232\n71356 82149\n13718 33008\n39791 58687\n26897 84912\n54129 61595\n10336 42452\n10710 87651\n43297 85094\n51077 71258\n61737 62294\n58247 77215\n54665 86063\n3587 73040\n10300 49992\n58792 91712\n75175 88839\n9860 89013\n47996 55178\n74085 95086\n36056 57039\n19201 22078\n51733 92516\n30147 75161\n67740 88853\n75817 98968\n53645 89045\n22090 48111\n52657 52666\n19786 25445\n42151 69006\n18297 72580\n14187 20027\n2392 7027\n4591 52402\n55929 58108\n6363 80660\n67789 86319\n94026 99015\n2720 45602\n4873 28714\n5408 90928\n31809 76547\n32362 60487\n89941 98513\n30797 33140\n1390 21892\n43674 76593\n26656 93936\n68877 78204\n12515 76639\n66307 96496\n20040 27983\n47389 93894\n47628 63432\n95553 98805\n11035 73551\n37759 95037\n29959 78424\n31277 36233\n29863 49473\n8534 31635\n434 49327\n3486 70515\n83953 85047\n4565 7796\n31672 45907\n33188 82880\n9753 96405\n35179 68420\n71117 86444\n49387 49588\n35522 54663\n16064 24743\n52766 83573\n54102 56158\n79020 94133\n38892 63668\n69183 94543\n54068 89388\n62400 66278\n41353 61819\n57776 62307\n1659 3357\n29716 75281\n27279 74955\n25317 47415\n5425 97467\n9447 23478\n6872 31658\n61102 74854\n20324 61028\n54641 98029\n16971 57578\n65268 95643\n44970 52422\n29346 42709\n17138 74195\n65352 75991\n28548 94441\n49582 74806\n14986 68352\n26113 83208\n70906 93429\n7814 24127\n20994 88906\n15290 69349\n23315 74332\n12405 27744\n65887 76478\n49026 55232\n8079 58523\n18551 81797\n23780 93272\n18854 64037\n13279 71747\n24884 82013\n24871 71353\n5900 52957\n53832 58073\n18394 37128\n39629 52875\n2220 64850\n27872 81761\n25604 65314\n13830 69990\n14846 63914\n48422 84189\n32077 96003\n30825 38178\n23762 49735\n77657 95609\n8425 70185\n11929 27820\n47941 99318\n27204 78092\n85881 95342\n39631 95982\n53288 58751\n12959 39537\n23596 88152\n1362 69328\n8539 63321\n43657 74285\n13156 87386\n26788 68328\n34499 42616\n64128 80791\n5045 79501\n29400 41587\n57064 84923\n20476 59752\n31734 47714\n29424 32827\n3604 63289\n4326 22257\n65005 69200\n55749 82453\n39661 73677\n46287 48853\n65851 86260\n59631 85990\n14632 66528\n32187 58956\n18078 68205\n13903 61190\n5237 79054\n13762 56909\n18392 54156\n49746 52640\n1378 60525\n11273 37518\n57880 74805\n4841 38867\n13565 59392\n38045 49744\n59735 81903\n4481 25471\n38605 65291\n21927 99144\n13578 92852\n21411 31670\n9760 42530\n91844 99867\n15878 66668\n17538 56967\n43278 69781\n20234 66552\n7353 16157\n21107 78570\n36156 90111\n24046 78133\n42384 88096\n20479 45475\n52994 78895\n58658 66012\n22720 83886\n23008 70492\n66348 97390\n51224 71815\n13200 64471\n25586 69991\n39362 63636\n15319 83259\n26103 44787\n32237 47462\n10466 93316\n78615 79462\n75476 81925\n9720 69902\n18420 68445\n36533 91826\n9657 16347\n45478 96849\n8854 93260\n16 81150\n11329 25837\n2232 53826\n10524 13403\n15734 29017\n22865 84371\n47613 98902\n67441 96701\n55243 87597\n40376 95918\n11441 87933\n37343 59959\n26050 32014\n36742 38153\n17085 54950\n16656 53590\n78444 96154\n36498 86854\n92986 94632\n5385 57368\n43057 92082\n27099 94629\n4733 68666\n10608 27581\n12732 31591\n43055 49180\n17202 56425\n13235 93263\n46875 72407\n5424 86360\n9577 38940\n49970 90154\n32364 44359\n25972 80970\n49188 60531\n11178 28080\n57811 93166\n67937 72247\n8296 17679\n11278 15398\n40918 61942\n5057 64613\n60942 72402\n5711 83979\n72030 84427\n12489 14077\n28774 79216\n40996 71248\n50138 60585\n59871 80150\n57627 81010\n2683 55406\n74534 82229\n30884 91464\n53485 99703\n27539 98287\n21093 39893\n10328 11565\n16681 64824\n62244 77557\n36664 54033\n343 44636\n14814 86209\n13306 92841\n20824 76476\n47750 72232\n14008 62995\n6030 58210\n64217 77277\n66851 78906\n21455 55708\n38398 97008\n36559 73934\n55187 75709\n92636 99967\n64246 75724\n20512 99640\n3336 28717\n41090 42403\n18906 79833\n9972 76698\n36499 99900\n70700 80113\n51332 51949\n13703 41946\n30515 99864\n57855 97972\n29581 75186\n44181 69588\n43956 56742\n17650 21470\n4474 95480\n1447 27061\n58108 77122\n59010 86444\n52703 54422\n8249 23621\n35767 46836\n11704 88796\n2223 79819\n11388 51237\n37970 63377\n27899 74163\n42218 53655\n34630 75534\n18556 25392\n4147 68995\n11562 34694\n87240 89172\n8704 18712\n1319 94132\n578 37995\n40179 42276\n49179 88567\n87293 95071\n47123 86320\n66552 86464\n34808 64549\n43897 61807\n78779 95477\n44625 94234\n9169 77390\n48678 67650\n70980 81269\n2377 92622\n8564 80780\n15572 52400\n25921 41952\n60420 61439\n41760 81993\n19009 38329\n54829 64075\n39530 97881\n54574 68742\n2533 49715\n37294 57816\n46324 92057\n29833 79961\n6899 78106\n38390 93642\n39461 51624\n9114 71499\n15869 51864\n65424 70069\n42972 85040\n17084 50291\n58251 97914\n28760 82900\n18125 95849\n49572 53004\n24704 48932\n9432 21654\n19575 83579\n57350 93028\n45652 51612\n17373 87318\n7814 35583\n50115 97428\n39794 96806\n64128 75027\n40001 98792\n48248 78097\n75054 77033\n27005 58404\n24768 34108\n12731 51749\n24688 56919\n57636 88115\n28503 46324\n31568 80562\n21939 85182\n31002 98442\n63192 69863\n39212 40288\n63711 79156\n71199 92560\n25131 63933\n9216 20680\n45417 71885\n23472 73482\n28708 34351\n28094 50407\n49121 91176\n26980 61057\n18199 49443\n6029 66954\n22837 74790\n95889 99040\n14628 78062\n48327 99217\n28258 94355\n18521 89454\n36921 76716\n5990 64518\n32993 41294\n26849 98602\n9233 36413\n76117 89053\n6391 75386\n16365 63434\n6725 75362\n2731 14015\n42751 45203\n80011 99301\n35626 70314\n82824 92262\n50644 78841\n19650 54312\n64642 98236\n68804 80183\n15169 67849\n45166 76986\n11304 84963\n53392 75277\n10801 86813\n34892 89186\n33851 36968\n15884 43667\n48475 65662\n32030 74831\n26772 37241\n10503 86435\n38671 48657\n20383 34792\n2945 28724\n3867 97532\n40052 67000\n7309 46856\n27620 87902\n23666 71726\n38962 64833\n22276 97871\n27514 70774\n2891 87985\n26126 48750\n23143 34962\n7977 29074\n67741 98890\n38658 78777\n1258 86035\n30438 68365\n15531 99489\n56885 59401\n4600 40445\n5585 91179\n53136 68420\n55089 81809\n25670 98454\n42646 77661\n39231 66131\n53657 82604\n6777 50839\n19283 97684\n25597 84200\n29699 73704\n46077 82087\n39099 72595\n56968 94812\n53807 76580\n9936 43106\n5087 54368\n54182 82568\n5183 86995\n20542 99533\n46078 95060\n42069 72865\n80342 80816\n34908 83744\n55421 91782\n20481 73597\n35699 37485\n41518 76635\n16334 39172\n55940 79402\n50547 71672\n74544 76879\n7323 95296\n20771 78345\n25685 26411\n9640 69235\n32555 84135\n63291 84318\n4106 33153\n89015 94968\n15144 82175\n29602 64568\n41899 68400\n12105 64669\n52835 70736\n11631 45189\n81833 94143\n50382 62932\n7625 39156\n1360 81942\n47217 72196\n50776 81402\n2021 59223\n44466 91878\n22110 45323\n19572 28312\n12651 64308\n65921 83564\n32363 64688\n40123 70930\n15583 71809\n5203 40083\n3835 41782\n22138 99693\n58277 93156\n47756 85737\n23958 76827\n12502 28036\n76645 86567\n18983 60803\n34072 72145\n25004 35112\n7923 57299\n15078 27347\n57203 84619\n22918 32887\n10649 22985\n22686 77160\n75497 95663\n35409 60411\n680 6477\n74918 92878\n985 66199\n20623 48540\n77672 91179\n33502 38693\n55905 95675\n44310 98803\n33448 81770\n14549 75152\n24145 44166\n22860 82881\n38704 90285\n86040 97692\n29587 30764\n42690 85848\n6819 28658\n22111 57481\n34973 43866\n74390 86353\n66325 84573\n2226 48260\n30604 38376\n34546 74449\n83798 92256\n83856 96602\n20428 40972\n31558 82407\n2845 56134\n29274 92457\n52643 60612\n19997 33836\n52631 90595\n29774 97169\n84357 88405\n14202 95135\n14160 57660\n15832 25958\n4748 24392\n33032 41175\n4149 38859\n10736 89891\n7727 61109\n72696 83584\n60061 93522\n9610 55884\n77063 90759\n6634 75334\n4351 70597\n33215 88618\n18358 92882\n16 39861\n16056 53944\n63571 84114\n15127 17296\n54929 90558\n73221 74487\n68246 96804\n20292 52717\n25693 78018\n62744 66499\n40625 66581\n31079 66862\n10224 27988\n19917 45007\n31723 96735\n43711 71283\n85825 94486\n49246 54727\n57305 96237\n44394 76348\n49322 64413\n24414 27307\n19794 81349\n59507 62073\n48055 76254\n55166 84285\n23861 45753\n29438 78057\n97223 97989\n28833 36088\n30453 52559\n5118 10360\n7060 68434\n54717 55968\n78006 84795\n37781 82116\n52229 87531\n1553 89906\n16878 48874\n12587 82971\n8663 45922\n47752 97664\n47203 94663\n38168 70312\n12411 95959\n33704 34170\n16195 23803\n84464 87094\n22662 98416\n8232 19003\n61515 82925\n88876 95808\n20214 63335\n82601 92189\n52751 85690\n57561 93474\n61228 94245\n68011 93976\n46988 92005\n3058 82341\n48501 82891\n79160 97654\n18553 84888\n26834 53058\n47500 95477\n54266 94326\n4859 74758\n34952 39032\n18240 91840\n32746 74592\n19270 94147\n47437 88262\n55278 74927\n25357 71881\n10795 88996\n29993 65529\n5429 55715\n30687 72386\n10543 22882\n50208 65531\n43191 60660\n34704 36392\n42734 68503\n10450 28376\n14720 23586\n12829 50604\n5782 55998\n22491 86445\n23759 70742\n28740 97307\n17784 56756\n26823 74598\n28098 78379\n9011 76466\n12944 92368\n3358 6746\n64992 79327\n1433 4247\n59932 71618\n33425 94648\n69728 85302\n31988 83451\n34089 63510\n10611 71826\n11601 47309\n58401 60208\n53653 90494\n3117 8946\n82402 90097\n17535 94028\n49289 54811\n17714 55099\n5286 31563\n39699 95734\n11468 67102\n39407 87294\n31924 80372\n67004 88587\n73036 79095\n3823 31285\n74378 75710\n58271 77906\n3148 84643\n5627 67514\n27330 71767\n81457 98475\n29855 92092\n3345 28553\n32993 87393\n5523 34655\n10053 94268\n61259 85273\n51992 69686\n8744 42724\n43584 82320\n27853 78210\n25581 72981\n20580 98950\n72893 93636\n6024 55640\n76736 94017\n13633 65468\n21806 49806\n13523 63837\n4550 54011\n14640 57732\n91774 99688\n34576 63910\n26096 33993\n3313 73328\n58455 89866\n46875 75601\n51812 89362\n10472 17700\n47625 67735\n65847 94592\n58338 81650\n13115 40239\n51682 59912\n33406 41408\n44764 72541\n26590 95093\n43935 75443\n25243 77825\n6135 12199\n36305 37250\n84658 86866\n63071 90042\n1931 56228\n6786 41375\n71529 96875\n38463 50018\n49997 75630\n13367 83432\n30668 67645\n50167 71783\n64604 68770\n49774 60163\n49846 54908\n27745 38374\n8956 48792\n12882 46458\n40703 44734\n25065 37435\n57846 79266\n49161 51277\n23642 83030\n18351 81058\n53613 79887\n19265 20064\n341 86563\n31034 70338\n21937 69164\n9427 30466\n493 66132\n71200 99733\n69245 95212\n75440 98239\n48376 80212\n41564 73654\n27309 94678\n28393 34603\n30915 56212\n28873 32449\n54220 72428\n48411 61671\n96334 96545\n57896 61009\n21518 83995\n45612 62351\n10996 85341\n21563 31463\n65953 75853\n12298 66044\n24788 89695\n43132 63316\n10089 17195\n37432 54812\n75027 77525\n79187 86144\n20959 57872\n7436 71613\n3190 20817\n35513 98592\n29176 33140\n3832 64874\n55702 85947\n21495 48606\n28040 52106\n6337 6730\n44125 79009\n81750 99319\n19483 68642\n49742 84002\n7110 23139\n9789 38874\n76278 94603\n286 40679\n80418 88713\n53080 86862\n22253 64594\n12700 59881\n18782 78290\n72438 92717\n6810 32142\n52943 74470\n22872 39486\n16068 88794\n97209 98351\n10920 19938\n36605 50481\n45055 51225\n12345 61810\n17155 80138\n34830 36909\n23091 51527\n64767 74717\n1306 43527\n20800 94246\n19632 37960\n10991 90251\n98321 99635\n48904 61957\n56535 95053\n43919 75601\n28612 70569\n52933 78093\n52883 97230\n23089 57261\n90048 97514\n35653 64235\n30618 63436\n67061 69660\n17619 45325\n69024 78581\n82525 94256\n22181 82391\n13383 43226\n3926 84547\n33316 58725\n6031 98412\n51136 54107\n44559 60768\n25864 55041\n43173 82460\n8315 98537\n59649 61570\n38885 88060\n32602 52771\n17664 20864\n25005 87899\n13393 40507\n5027 84888\n11976 89641\n13848 81706\n7458 63346\n23077 98731\n2942 99916\n88291 92007\n72130 83718\n82516 86934\n37910 43248\n28486 50258\n56609 81460\n66736 97878\n70992 84122\n1459 72197\n25966 85038\n7880 90546\n24935 68654\n15056 77394\n47964 71210\n32168 86660\n63874 94392\n3465 27419\n11451 58731\n43157 50291\n20399 32454\n921 26391\n5063 38721\n20667 26275\n21530 72535\n22372 61693\n18660 74625\n30366 88611\n31263 53478\n80190 86802\n35319 76378\n3664 49536\n3149 23953\n10156 67621\n25887 84577\n37762 78757\n34634 73344\n70808 95700\n35486 56591\n41452 51324\n27266 69583\n1955 58621\n6296 31169\n68491 92852\n20485 66853\n52395 89752\n747 8201\n47524 79160\n48290 66900\n36801 43955\n16129 42137\n41479 79997\n5922 52076\n55948 92088\n46039 80909\n32518 52340\n26540 30987\n2757 75861\n58822 76707\n21253 65468\n10792 15715\n55064 79347\n39481 74483\n35412 58631\n930 1668\n46457 53912\n23117 89514\n18282 53439\n37574 63441\n33553 83108\n7576 70820\n11846 25757\n38351 73121\n68970 99839\n2040 34376\n30499 44308\n44626 64966\n19022 61607\n5114 77152\n14625 34117\n29998 68507\n3422 32327\n41982 69407\n6036 77032\n1187 45292\n15028 20450\n22544 90927\n13433 45551\n12731 51636\n30838 79458\n49908 70888\n28457 62211\n55867 91546\n4443 44016\n6864 23866\n18513 81490\n33594 85640\n83118 90401\n30790 80774\n78035 99288\n52270 72642\n97424 99001\n86028 95009\n14920 25399\n8521 21380\n11843 55792\n31168 96942\n24399 71123\n24061 66057\n35449 57821\n57500 76081\n23293 80750\n20535 61234\n48326 48439\n15624 54498\n12453 38323\n69168 91255\n6520 47467\n9837 88338\n60327 73040\n1571 95323\n66626 94197\n32274 99039\n13816 70902\n9294 62255\n7075 87432\n4603 16225\n9287 62562\n50185 85441\n42094 42433\n45825 95734\n62722 66005\n38261 45011\n55433 57077\n7202 7259\n58463 92233\n63287 83584\n11239 57356\n22456 81091\n50634 54683\n35834 48860\n9297 25101\n74340 74673\n37146 98146\n26719 99629\n67688 95719\n31310 58300\n6988 30197\n76932 95053\n78601 85156\n67533 81227\n29298 69357\n5959 89511\n18172 20259\n51602 61434\n10693 17591\n830 35197\n28286 39754\n75811 78711\n8491 32536\n2909 35524\n81475 85791\n74330 87922\n87422 95052\n30400 82942\n9428 68846\n73760 84422\n21045 90613\n53614 58365\n28446 86559\n5519 72779\n17882 53996\n15595 95198\n30101 72603\n23404 87235\n85038 91121\n12127 93284\n34793 84817\n7511 64263\n24051 61429\n36215 78561\n12570 95971\n59818 67522\n30392 39657\n2731 66818\n11850 71313\n54878 62747\n50946 87194\n21493 88140\n18797 63794\n8456 11185\n3600 44829\n92360 99690\n10070 34686\n2311 96364\n17131 94997\n20067 20306\n29502 91019\n41748 89998\n595 16834\n5904 46576\n10697 79633\n50079 81727\n93823 94001\n36438 91107\n39087 92841\n3023 35041\n25408 34013\n58439 95024\n11516 24779\n49832 80050\n627 55412\n20438 94248\n28808 72798\n6882 52149\n14457 26166\n59947 80210\n44720 59155\n9854 29247\n27475 60296\n16252 56596\n11708 97488\n1646 19333\n30332 76022\n16398 48998\n62308 81113\n58315 63733\n7877 29600\n60133 61447\n8168 9458\n25741 91259\n33407 33562\n43762 68075\n17038 45036\n15947 31444\n9769 70019\n41121 93332\n60748 96791\n46849 49422\n24675 24851\n17186 93836\n2898 35296\n5366 86630\n83104 97298\n32558 42668\n147 50078\n30590 53732\n9544 64721\n88174 94534\n65817 95350\n67487 70253\n20248 33060\n30926 75235\n27696 50327\n43018 85395\n11844 31934\n480 40114\n18587 86288\n38120 47302\n71926 72090\n86183 93482\n32611 80644\n52306 67794\n39917 59473\n78743 90530\n134 9255\n58703 84586\n27657 45830\n469 24247\n59932 76300\n28926 51171\n64142 82384\n8119 64753\n8437 37386\n44788 64834\n45134 91369\n35310 89359\n24144 38189\n5600 50670\n34367 46428\n8790 69099\n11208 74341\n31241 62692\n10599 50449\n30499 67369\n48676 54220\n12047 13000\n22107 56161\n27921 87694\n50905 57883\n26218 90940\n37114 83318\n51984 58699\n70495 99947\n2007 98823\n37934 87826\n10374 63378\n2984 14030\n52017 95756\n31153 34598\n36551 94008\n18134 42606\n10836 62230\n49942 87711\n2840 56007\n28182 76983\n34723 75455\n17975 28128\n56004 98116\n21298 62353\n57655 97892\n48983 72168\n1112 80538\n15240 76493\n30988 58831\n48941 92599\n49400 54681\n22512 89435\n50266 73898\n34801 58193\n11566 15535\n15257 78255\n11187 37501\n4066 93123\n54422 69147\n14455 91216\n49620 95156\n77648 84289\n61244 81385\n47270 64440\n31873 35996\n38054 55157\n16495 46209\n23173 81755\n60993 80079\n24890 78331\n39315 53772\n12625 80799\n36804 45378\n78869 97722\n53943 86757\n831 12072\n35956 59875\n17633 64153\n13259 31842\n13457 44584\n28989 73057\n5004 8180\n2683 28468\n9523 96258\n9377 52839\n2612 65780\n74404 86133\n22604 82750\n18506 74121\n3572 22953\n29857 46189\n39053 39425\n35025 68843\n35685 38061\n23235 43332\n46136 63047\n23926 80885\n51035 72319\n72335 94438\n13113 29098\n78248 83989\n3223 6421\n36677 39822\n23295 86678\n14663 25693\n20536 69925\n64791 77563\n69965 90458\n4448 67262\n19452 74425\n36348 38021\n51996 99941\n37168 89572\n14701 67659\n29051 56896\n8151 27287\n1831 66957\n54059 82228\n440 22660\n5368 50516\n48620 69179\n57021 78582\n52736 64694\n61784 68180\n26513 62844\n72731 98218\n24609 60828\n35235 78403\n66517 79211\n60877 78941\n58547 97273\n12370 81449\n41646 61142\n49683 56792\n15785 26633\n36339 50128\n29595 51870\n36102 46021\n36842 57355\n3645 13247\n29641 39592\n20443 26950\n23951 47731\n88022 91969\n73575 81419\n16570 49223\n56613 78411\n59851 79166\n36023 89896\n2344 59532\n18810 63401\n3248 93730\n49111 95335\n23318 98767\n45411 48087\n10976 47312\n27810 83250\n3923 91576\n6536 18115\n57468 86048\n68004 76817\n57336 87771\n48138 61113\n9328 19905\n59996 75205\n57835 90690\n50154 93017\n13187 51804\n33975 67075\n69489 85527\n43902 73630\n13135 67599\n8878 36035\n15970 48851\n25795 83960\n47336 58466\n55815 92545\n4348 65761\n7497 76996\n34379 55275\n74668 89344\n13439 16081\n28659 36035\n52341 74608\n46740 52306\n97531 97880\n7052 44420\n23322 88674\n28934 50785\n24776 96673\n4003 92033\n69087 97881\n23801 73318\n83565 94418\n63273 66430\n25971 76232\n3076 57604\n45179 89265\n9392 69913\n63913 77758\n37744 50251\n15753 63967\n4181 40288\n6664 61907\n37541 39249\n36779 98465\n51921 86471\n3419 84709\n3876 16053\n4138 8178\n6967 19018\n34983 62799\n15501 38365\n12300 19284\n65492 77156\n67387 99383\n42993 72280\n42414 59352\n4051 10751\n58363 97930\n47140 77464\n32710 46644\n10199 71987\n81384 90992\n77712 88804\n68726 93454\n11644 54138\n16135 94928\n76941 82980\n53396 84888\n46590 66448\n10359 81684\n17832 27008\n53047 57486\n49562 50220\n1317 68597\n13922 56467\n78492 88783\n42344 74436\n5452 30666\n23436 79216\n12027 33029\n60044 65801\n27531 63052\n36551 57543\n3492 47238\n49 70084\n51029 62215\n22596 98334\n316 89286\n4752 51488\n41331 70311\n31065 60466\n24844 54644\n64459 68210\n5163 68144\n34370 82096\n17578 34998\n3951 77671\n8490 66119\n27847 31017\n26027 44701\n2589 41539\n26331 97168\n56385 75868\n4578 15955\n29756 98436\n68715 70971\n29415 62463\n28710 76159\n41818 96648\n24367 50648\n2454 5144\n88636 89805\n57813 92608\n45683 57898\n54345 94428\n33722 35593\n15325 55066\n42482 57731\n55250 94901\n19857 93184\n4906 77524\n62080 80803\n26342 51185\n62133 87260\n25309 76494\n65294 95670\n62265 95918\n10543 90650\n54570 78856\n44505 58992\n23479 52140\n52475 88802\n47550 98773\n35282 57438\n30882 64815\n50828 93132\n81363 98651\n24750 79122\n48914 93709\n17242 84549\n54040 58321\n36995 94619\n26662 77616\n75155 82867\n75079 99325\n11590 36005\n19798 31653\n2036 98160\n1609 33595\n11657 27074\n21806 46879\n17318 93811\n34778 67878\n21 87565\n21054 81704\n34327 73351\n55931 73464\n64832 96663\n66594 94258\n88653 93210\n2932 65007\n61163 74806\n71485 83443\n49636 59001\n41016 87559\n38841 94084\n8187 18502\n45401 93406\n20624 55194\n55675 72573\n36020 81221\n59148 86697\n44272 85063\n7054 10401\n9137 27660\n13740 44812\n64037 95500\n31838 73153\n58864 73174\n51857 83402\n23870 54542\n16627 81678\n52857 63610\n16324 43346\n43169 94463\n72067 74026\n5416 50817\n56098 93768\n6952 11501\n39951 95927\n58278 78399\n17462 50245\n19945 58712\n1404 11353\n55300 90411\n8738 21561\n34544 35507\n55400 83738\n20387 81119\n2342 45357\n63105 90897\n26687 51412\n46149 67155\n74344 97963\n376 59625\n1718 90287\n7042 51191\n18268 94390\n59639 93525\n11364 39070\n34950 71784\n912 65057\n5413 40681\n57530 96446\n46463 78155\n19933 90921\n67 89476\n1904 8773\n6563 55102\n1129 49882\n67176 73396\n18954 41504\n4643 76617\n14923 22189\n48798 97546\n32809 79702\n34903 58004\n46994 48334\n59525 61657\n40186 43857\n6544 78375\n61622 64113\n16050 57394\n26370 72215\n56941 74841\n7642 81751\n58526 85484\n56751 93416\n28111 77981\n16381 19932\n30852 83277\n18274 56236\n49587 99845\n31432 60801\n41227 67511\n19381 26862\n8898 59264\n62917 88686\n59884 67261\n49966 87181\n46141 93526\n44675 63311\n22772 82880\n18914 60435\n35110 74875\n76865 82041\n7845 43941\n792 49206\n17881 40004\n25963 40985\n353 20208\n28528 92451\n38148 44961\n7944 87723\n62745 90748\n9322 91393\n22075 35171\n31213 41397\n29967 81359\n23344 43089\n25389 38780\n22545 89429\n26346 34239\n7987 66013\n142 52585\n45711 68991\n4227 30127\n34715 61449\n60023 98484\n30671 61618\n87640 94268\n13898 37711\n32382 92636\n49199 50472\n41869 73461\n23034 34215\n24126 54923\n33160 60519\n71206 91448\n82336 84030\n55696 97738\n84577 90678\n7040 96550\n49120 93006\n21375 63240\n83104 88841\n30559 54064\n51914 65693\n7441 27411\n69370 75411\n41964 80124\n56443 76990\n8290 55443\n2306 39131\n64152 78980\n475 23293\n42252 75113\n32536 76111\n17647 28250\n42875 94899\n40316 88463\n4002 11336\n10710 61904\n14693 26598\n18848 75469\n13493 56962\n44252 66008\n22399 77748\n17841 29130\n41907 73638\n28350 78857\n3702 95260\n4235 95643\n8940 72708\n12984 82755\n10318 65245\n14878 38659\n24314 63698\n56730 92124\n6307 79693\n37375 44856\n40670 89356\n33388 44474\n32006 50051\n3718 26306\n3838 38389\n28994 63877\n50661 99617\n14769 60007\n78663 88421\n32792 52129\n45218 83508\n864 59244\n31128 71789\n14663 71491\n405 69924\n45202 47979\n56676 64257\n8617 91294\n53802 66866\n23048 25100\n43414 64317\n23386 47784\n76329 98716\n5619 74702\n63982 90731\n31176 58876\n43095 93547\n34105 36176\n11645 62317\n17326 77245\n12133 92916\n10780 47885\n9280 36109\n26982 43592\n7899 45538\n6970 50134\n33785 56708\n39679 60762\n47588 81347\n54243 76121\n43336 56543\n47955 49180\n3618 22534\n4216 99753\n44263 67612\n29076 41730\n13495 53341\n47299 47537\n48525 49825\n16788 97513\n5608 59649\n74590 77141\n12589 63852\n12297 14007\n12873 52567\n23213 27600\n79293 80288\n5555 85289\n17262 84724\n301 10432\n55311 70539\n5050 43807\n26561 91616\n73462 90065\n38923 95987\n42091 46579\n49939 96554\n1407 78502\n55703 63099\n35634 68566\n18804 69944\n65703 89524\n20700 78332\n9773 68207\n22441 97947\n6471 93852\n12660 60428\n46953 57415\n25462 52958\n42705 72775\n54135 91607\n18913 59874\n68253 95128\n6229 7177\n31068 77748\n1626 62152\n30951 43168\n20766 93501\n43856 78910\n59504 93458\n90950 93215\n28848 78457\n33807 68035\n48564 79855\n61808 75143\n14400 34714\n17825 52763\n23716 66546\n31621 55862\n72629 88495\n58371 90442\n14279 69532\n72089 75199\n17307 48210\n960 36481\n62840 76300\n41885 89467\n5965 65568\n15469 49023\n29813 84339\n50664 64579\n59376 67039\n6067 71454\n58995 90962\n56272 64651\n4442 64789\n75879 89923\n15787 56370\n39971 96631\n27276 36918\n13189 40814\n18469 99106\n3979 41041\n18824 40839\n15149 40347\n21524 50039\n33818 75049\n12480 47877\n1355 10927\n38750 85811\n16303 67629\n23009 36858\n66497 88206\n72124 84500\n42124 98573\n73814 83275\n90852 91128\n46629 83461\n62985 87441\n13788 92615\n27872 49283\n3284 20279\n69756 87143\n2237 71103\n24945 79807\n62024 64732\n14098 86990\n46604 93181\n40504 67018\n3969 6387\n6465 62375\n23276 60026\n22857 40171\n19592 63303\n11579 23227\n84851 92619\n27832 64912\n15012 58817\n64797 81460\n64393 80110\n17052 48920\n21983 88205\n12326 86465\n46116 81244\n8004 38636\n33761 65157\n10452 86043\n64824 81535\n12662 83622\n5121 10888\n28363 85622\n4723 18153\n29104 83601\n59051 81561\n79674 94059\n22111 62350\n41853 50858\n32986 89540\n38660 88394\n76130 93116\n64316 91611\n1008 14418\n31696 54648\n70153 72548\n38827 86614\n46455 70938\n28046 49823\n25579 48477\n32895 83332\n3244 54870\n68845 81136\n27110 39523\n58034 70268\n21756 71989\n5172 62156\n4845 86924\n75896 80114\n22651 38246\n61846 88308\n37015 61806\n2436 84525\n32694 49131\n8430 50970\n2976 74138\n4018 98980\n59303 98288\n52487 98108\n29842 54255\n15059 31532\n6334 74485\n13252 80198\n26846 92650\n39783 61153\n38033 38107\n5497 67003\n55476 83265\n20382 46367\n58049 77795\n30914 54039\n20181 71782\n61771 75680\n9687 93449\n51547 75943\n6396 29650\n19402 63276\n64629 68323\n7800 99064\n21593 34691\n79529 82442\n938 87876\n42454 57105\n33499 63081\n1936 47151\n39664 53053\n33621 61170\n22614 53360\n29952 50149\n56217 91223\n77415 80051\n69806 94368\n9481 37907\n14665 41402\n16680 21690\n53485 99514\n26493 72498\n69577 69791\n721 1221\n39326 59509\n1874 61968\n27076 66892\n69655 72007\n31357 91528\n13140 76558\n27082 99060\n18957 99273\n31796 45524\n33614 40219\n38907 53412\n56268 60466\n245 81647\n13866 71365\n757 79732\n29211 69956\n52747 86670\n52959 88610\n11363 37900\n58782 71500\n21863 41520\n4077 56990\n58558 99171\n10656 79578\n31593 67612\n35822 92789\n59755 96898\n45324 50192\n2260 13147\n16897 59838\n1391 88901\n21351 78393\n100 73522\n9788 45596\n44892 97237\n7674 9894\n45330 65852\n38137 70622\n88 89665\n68359 91481\n70953 74074\n91623 92341\n38882 49054\n41953 55008\n11479 33490\n7548 45824\n68804 80967\n5466 23325\n68444 90549\n36389 60238\n25970 80854\n11678 85874\n477 79656\n40629 99669\n31103 98704\n17857 77808\n45779 75595\n4718 52075\n5159 61663\n2892 81056\n53228 81282\n22586 50976\n38062 55026\n5873 74151\n32726 65939\n2336 20630\n58457 97953\n12586 80031\n36577 48667\n36099 46730\n12463 93505\n12705 20308\n84239 94326\n17521 65382\n61888 69210\n32350 99864\n37177 37236\n35545 67306\n71783 81379\n7246 34529\n9665 81917\n27496 28007\n39885 91371\n11774 84255\n11273 90693\n50077 77843\n54578 56327\n34310 48946\n15790 51475\n78444 94749\n54072 78963\n12092 41678\n73907 88089\n11451 46816\n77075 85122\n4481 97863\n28472 61350\n56589 96587\n9408 69163\n38339 62829\n8709 15392\n30663 56208\n18389 88409\n43486 66477\n65736 72027\n75253 88286\n33893 76474\n36448 74910\n4426 66596\n24975 89314\n13305 38376\n48051 96114\n19146 35432\n33109 35520\n68275 73302\n75501 76514\n57923 72106\n30081 56225\n49288 61629\n50 427\n85168 98842\n61521 73155\n93277 96019\n23760 58027\n57478 88856\n52189 75794\n39152 65416\n76438 98834\n21842 33616\n19811 65823\n760 28947\n7970 8935\n35292 38898\n77388 89595\n21482 74523\n68056 80230\n51921 95886\n58213 73951\n94504 97651\n1797 63461\n62304 81200\n15604 48253\n46038 81593\n28414 63828\n984 60080\n7008 48145\n60681 69669\n5552 49557\n9092 59758\n23078 46247\n65012 86882\n31244 98239\n41353 62025\n40964 78136\n37149 64547\n75971 91569\n16370 43547\n29200 33960\n14440 48802\n7163 30933\n28802 85558\n24291 98189\n76474 89866\n88644 90423\n40243 65379\n12788 34866\n29371 95111\n62553 79050\n78612 89639\n6038 74113\n46868 58982\n11316 66804\n17934 53401\n10448 53608\n49174 57527\n75267 90562\n35092 92512\n63775 93469\n66491 95370\n23258 53063\n68437 82743\n35862 62077\n29137 98516\n28619 75925\n30579 72828\n59861 75154\n49447 54945\n3107 5609\n22696 30039\n18968 23201\n67974 94454\n47204 63970\n1464 48338\n7608 15245\n39773 72886\n45904 58108\n4235 47248\n57381 67474\n44572 76069\n28026 40956\n22705 46195\n22897 55850\n9132 39757\n8908 32047\n31319 56725\n55447 86718\n29091 59114\n37797 81410\n65939 83333\n23649 85238\n37833 84079\n9811 94429\n13199 53696\n44480 54028\n49305 91011\n46774 85166\n68520 90046\n21360 41019\n4649 48126\n23205 31493\n4514 78175\n1261 44673\n18977 82278\n10214 45687\n65594 73639\n62955 85943\n8770 49090\n3205 53140\n64408 83458\n58428 93829\n21476 64369\n59023 79371\n35498 84483\n83479 84002\n72821 87890\n70723 79012\n57296 78453\n68508 91202\n57639 76228\n57787 65342\n80282 91951\n83761 99441\n30164 80629\n38354 51811\n62104 81207\n32463 95610\n42014 45119\n6309 91335\n78080 88276\n180 8942\n24486 56009\n10616 38790\n24157 97919\n2876 87268\n63020 89006\n18455 44317\n13729 69573\n27698 39186\n15929 59708\n22168 23907\n46697 87660\n37854 74222\n8801 62608\n37396 56720\n37317 80507\n38586 82037\n82407 96304\n19711 86618\n1907 24541\n62228 81535\n42076 84503\n38570 40668\n5079 66943\n26633 62555\n8010 29425\n852 86654\n15799 49660\n35688 41167\n33444 72942\n30416 85592\n2075 15249\n65297 68904\n17571 59062\n33998 57568\n7713 18118\n16271 35588\n64591 74501\n11103 81581\n25054 70554\n84065 97313\n37712 49461\n29640 58540\n14159 33171\n31564 50766\n10933 91936\n67277 90756\n24846 65448\n86227 98139\n43987 76208\n12946 25532\n27031 74773\n11746 91150\n88000 95616\n72508 94737\n38100 80081\n39183 59299\n12028 90539\n49164 64251\n32295 69295\n8834 25679\n48981 72678\n7800 25747\n8994 64562\n22560 64349\n10732 39591\n8163 84391\n44251 65498\n21575 78459\n24857 38252\n58621 64241\n72795 76356\n36407 45729\n18721 45629\n11490 90169\n5998 23991\n7336 9426\n55399 75816\n38449 89367\n32896 37554\n26460 95499\n8591 40235\n5202 74362\n19936 76773\n15881 65509\n5558 60737\n63273 77881\n56466 61311\n38265 78662\n50477 62877\n20496 26659\n13115 76142\n10769 37881\n65504 98171\n57509 68807\n41327 64674\n18957 97261\n7692 27065\n68882 71993\n31566 90868\n71736 96121\n21394 75354\n16486 21948\n49035 90626\n31912 39821\n20753 92576\n57915 60715\n1364 66456\n3910 99077\n10476 59955\n57782 78349\n53550 53929\n4039 96246\n3955 58447\n56921 66769\n28623 56635\n13739 69428\n10387 31870\n41433 77903\n75875 97915\n73191 99178\n19292 24248\n12085 82457\n32184 40864\n24133 36534\n7184 99824\n40086 92309\n30357 30604\n26180 66020\n36562 40726\n35102 57100\n64757 75035\n2707 76994\n48185 50809\n15282 40677\n73634 94852\n82 66912\n45490 62397\n34808 35725\n45385 95999\n50736 95145\n324 21420\n39149 95019\n59341 92297\n15328 59696\n15456 86004\n1345 5645\n5202 39382\n17974 89228\n73700 80874\n24381 58214\n16977 38913\n39685 46228\n65303 90574\n30293 51341\n6537 96073\n9958 39057\n22921 69914\n3579 19535\n835 85483\n15015 85523\n82918 89860\n38947 39000\n2286 95636\n22797 49832\n77864 91616\n67405 94654\n17484 94309\n5936 55486\n57224 75749\n20676 63204\n61419 92990\n6618 81964\n38945 49639\n77831 97948\n42807 77947\n53101 54746\n62671 67895\n63573 79246\n20342 65009\n40579 74494\n58078 78082\n20668 82955\n7134 70687\n39075 91474\n41817 92925\n31588 40292\n22259 35142\n43860 61837\n30092 77895\n68296 77095\n38264 39765\n42086 55072\n59395 75415\n92886 99885\n37399 44352\n54487 59930\n24241 97691\n14409 95490\n47901 99997\n57955 96176\n89411 97185\n36301 75715\n39374 90256\n30657 72235\n38868 61514\n35068 67498\n41717 53121\n42416 79450\n26938 90066\n58783 88042\n74559 80599\n8396 45883\n27788 82228\n43444 91655\n30125 89996\n17094 61420\n45541 70543\n73855 95370\n27025 91460\n3636 60518\n60481 81408\n44272 78707\n50930 89167\n54008 98350\n4039 47589\n16590 79620\n58482 80430\n49586 88994\n64720 66444\n1299 70216\n51407 74342\n12169 21344\n46985 50110\n10968 22724\n7063 66846\n25929 26430\n42492 87830\n38142 59316\n97671 99380\n23332 30435\n5639 86419\n17723 86480\n3724 5236\n986 26732\n19162 71713\n10219 29046\n47897 89290\n33670 61558\n12291 41896\n5123 20733\n15509 50879\n33198 83575\n41166 67000\n59509 84324\n11983 88843\n30759 92240\n19139 23107\n18555 95229\n36999 85278\n27465 93130\n30093 49776\n44946 86830\n1125 8753\n31666 99690\n42089 58110\n93551 98210\n37687 77584\n29574 74201\n8750 50179\n19739 24436\n12523 51065\n2157 21271\n4905 84192\n16948 89817\n37567 61538\n11255 73411\n35742 94378\n63752 94967\n4471 20950\n26295 93533\n5218 20189\n20682 32847\n68293 70871\n50954 87389\n84838 85962\n66956 71234\n79460 88922\n5546 60844\n58859 74767\n30486 80913\n44314 59416\n5502 58787\n7938 17346\n28485 79833\n9801 63414\n54343 98781\n12020 57412\n38767 67510\n42134 84562\n68799 68864\n19902 89930\n58953 63937\n8829 72174\n58803 72520\n8892 80422\n33527 47500\n14939 19707\n30988 72755\n1957 14445\n18093 94904\n12820 41546\n36707 79504\n31720 32191\n35853 78661\n83779 85929\n18962 71922\n6487 71048\n19448 86442\n307 40407\n36830 97440\n70168 91387\n51656 87808\n33172 36457\n23313 66758\n3671 58150\n36815 66778\n2009 18405\n54165 96078\n3306 86439\n29556 31149\n43624 55549\n14027 98429\n48103 86249\n14956 41543\n36428 89327\n1757 22699\n23422 77512\n5828 54946\n12395 37999\n35350 96797\n45294 54835\n14367 35811\n70401 89198\n16573 97886\n13293 50209\n52109 53823\n5632 20829\n1544 50075\n47799 85544\n30921 71625\n17245 44092\n73447 88829\n28916 63498\n70568 88607\n60697 80046\n71349 90714\n38612 90179\n27712 78133\n7357 93759\n84995 93307\n40744 65771\n10921 87110\n10590 29551\n349 66881\n25104 25171\n45617 46124\n29285 67778\n9514 70036\n23695 35991\n18580 71146\n62111 69319\n46419 72918\n22799 92131\n44569 68955\n28442 88958\n1018 10076\n42833 57731\n15652 34100\n59509 66930\n38299 53057\n37982 59546\n32001 36055\n76242 91110\n30086 79672\n8474 29640\n78736 86147\n11318 40468\n14223 56791\n31399 51359\n71263 86706\n25461 83748\n33342 71872\n47730 74666\n55797 79538\n47033 74298\n2090 78457\n6357 10643\n41309 62620\n42541 52017\n38952 74653\n36690 66518\n449 88106\n72689 90218\n35335 38100\n21425 43789\n2626 36253\n37923 81101\n63118 84775\n25855 56635\n14978 42808\n45119 85044\n39969 68820\n54619 54800\n77511 83710\n6016 9492\n57257 84137\n21902 80333\n62729 86393\n53869 69826\n27339 71487\n35656 94267\n71603 82469\n40844 66363\n61141 86168\n13777 99978\n11979 91845\n46877 69927\n9153 70455\n26842 81671\n15066 54735\n28919 95872\n51326 69799\n9849 30077\n11703 73292\n23280 74777\n72463 85076\n50953 61398\n4022 19864\n89968 96826\n74736 78938\n19810 94767\n3973 69901\n36336 93630\n11899 76081\n63318 73208\n14012 82464\n37215 81467\n11393 25176\n62148 77631\n13596 31690\n38782 42616\n37158 44296\n13129 36267\n4497 69351\n77499 86034\n22913 45273\n14987 95765\n22928 83406\n38341 71689\n33160 64677\n14149 56273\n11285 80846\n44419 84279\n1227 40203\n3404 83319\n15793 81996\n76534 98776\n3952 68762\n41483 79247\n39515 47648\n20807 91788\n10743 72179\n59202 62223\n24824 82059\n55879 66133\n20457 72335\n19106 81220\n90797 98389\n1626 90714\n27547 39773\n33604 87873\n50509 97234\n10332 71070\n25066 47348\n9624 33346\n33069 76476\n33828 98033\n77302 93149\n27297 70622\n63076 65153\n11117 64250\n883 67193\n16625 58606\n33038 42096\n2890 75990\n32560 57200\n8563 25959\n24362 51018\n9689 99860\n14416 51726\n41795 91902\n29147 31155\n45246 74695\n14423 37385\n25261 32611\n2752 76924\n9597 99182\n60885 69972\n23928 52302\n12216 81219\n23408 79013\n5548 30304\n57168 65096\n52110 79267\n36417 43105\n1137 99590\n65539 67479\n8639 46175\n52042 54488\n7624 84805\n40491 48308\n39298 98168\n17803 55397\n1813 19752\n16844 89326\n11399 20938\n7866 99961\n22253 66865\n17670 90661\n65831 90243\n4408 7873\n83287 87986\n90369 99577\n49776 78776\n15577 43683\n75880 83795\n43117 89808\n36117 73392\n22381 72104\n83902 96460\n29088 92940\n47458 72640\n41638 62391\n38142 53157\n32900 90549\n93773 94074\n87329 88605\n21379 70121\n11244 22511\n62 65891\n48154 81189\n71045 99796\n9996 14351\n7630 23147\n37098 80144\n76643 83903\n9923 58763\n55652 59945\n19066 21001\n59065 93829\n35514 77074\n9759 27869\n10582 94883\n38585 80247\n60990 97994\n41803 61598\n3921 98805\n34222 59977\n14065 80689\n38688 48705\n34981 96610\n1504 24023\n41732 82397\n31406 51150\n22051 62954\n13112 74664\n3952 29140\n7366 75670\n491 21656\n21170 79596\n9981 28586\n50956 84538\n24415 86458\n25462 44064\n21118 42459\n27996 97141\n7801 73059\n6757 42319\n38781 54449\n12084 77625\n46808 88843\n79687 83805\n5866 8254\n45847 93267\n32803 63081\n64864 76701\n71479 74405\n1380 61975\n75465 93910\n13517 53469\n12395 27050\n16110 46811\n19388 40159\n21287 33580\n3832 51931\n20725 54571\n188 39629\n11810 90397\n14580 43940\n24068 58081\n4889 6865\n13729 79394\n29623 70797\n44503 70948\n22344 86376\n17195 87237\n35355 94840\n58387 99185\n44331 90810\n62571 65764\n22402 66727\n74542 82275\n45088 88619\n44953 85000\n22287 97710\n16560 52068\n39990 90006\n59586 73024\n14815 37090\n35822 90189\n28699 42067\n48019 58627\n56294 97925\n43708 98168\n44449 47580\n58397 76241\n34366 35498\n1342 86866\n38816 56328\n55628 78069\n27354 68316\n4666 11155\n10386 36151\n8285 37088\n55638 92257\n4282 92832\n10400 70113\n74528 88811\n66926 97900\n22483 61200\n39603 46157\n15683 41270\n29001 92565\n12138 88718\n26368 36006\n13412 86428\n10689 47274\n79490 89092\n12108 49332\n36135 50458\n32459 67784\n15536 24201\n44288 58540\n6289 79639\n71749 79137\n31158 63007\n39246 60743\n17779 45717\n49904 82673\n22296 55558\n22876 37395\n21297 22504\n18331 60059\n18592 78099\n38225 96531\n66415 77654\n78276 84821\n7777 61200\n25504 46777\n21663 73296\n9591 11519\n63172 72670\n34329 56421\n40292 80643\n48019 69138\n59597 65491\n84518 91615\n15140 88060\n76739 96099\n49982 96047\n44948 48528\n45416 91436\n43079 64181\n15984 20097\n27370 51365\n17399 45668\n31661 93442\n60266 94306\n48520 70290\n16734 24229\n57986 64090\n42550 78731\n6610 94536\n11327 64178\n26352 68182\n57620 80452\n65824 83971\n23194 37773\n6147 20257\n85803 89007\n1718 83543\n19945 49148\n23857 94680\n15777 72561\n20283 40956\n51243 77305\n32083 84546\n32151 62217\n29369 43832\n18821 34635\n343 52295\n29867 52298\n89880 94608\n36393 88239\n54163 95874\n7968 27791\n27818 85384\n26706 35715\n52664 57088\n23918 81374\n18129 58821\n43971 49486\n41082 52435\n73154 92435\n8270 98574\n2969 35105\n44767 51630\n4938 24644\n31449 34483\n25144 40542\n9442 31218\n34920 52544\n38551 48192\n62064 62960\n42847 96718\n50552 71025\n11858 38600\n13774 85726\n586 6545\n82219 88889\n13918 27758\n53572 83054\n12973 86207\n63960 85433\n4431 70011\n13401 98232\n40887 54110\n62928 70427\n5528 6044\n24401 28450\n76541 93021\n1273 80841\n27553 65774\n87090 95324\n35127 40968\n14066 19633\n44482 63817\n76765 80528\n1758 83224\n13726 28488\n59074 96830\n7561 71490\n37130 60121\n8254 79603\n49494 59417\n53534 71735\n49405 96854\n56933 85071\n53666 79554\n49731 50895\n56206 81869\n68262 71587\n11744 95982\n34899 97228\n21158 40935\n14949 53261\n22653 26358\n35090 73612\n54065 89812\n7464 45270\n71297 92245\n32479 70750\n25695 52586\n13981 58454\n9033 16451\n53548 77076\n46177 48243\n3584 16152\n5683 31530\n19676 58469\n13103 79351\n32580 80970\n80437 97903\n37992 73080\n22016 93964\n19494 52231\n37333 87151\n47958 87754\n29613 73876\n23370 30091\n55146 63210\n21896 24127\n23418 90433\n51509 77197\n21289 75905\n48602 91931\n9009 30415\n54245 65182\n72955 82483\n70451 74685\n25819 59088\n3418 56659\n36674 76229\n82421 84358\n19458 70227\n12671 72906\n19933 88775\n24356 38308\n33754 51543\n13360 67578\n50444 74258\n3101 71260\n48455 54197\n45872 67067\n68959 98287\n52308 57431\n59721 69342\n29555 32859\n7465 24808\n36438 51604\n78750 79694\n35390 71271\n30325 32283\n9430 15355\n3357 6876\n88367 94582\n17214 50998\n24814 82032\n77673 94400\n37944 61259\n71424 88199\n90330 98283\n60187 94488\n13786 15746\n12546 62010\n275 55558\n36664 65151\n19486 29460\n77155 83987\n29576 38492\n76038 98637\n49165 94249\n28505 67671\n60706 73825\n23363 99256\n28311 85427\n371 11268\n48939 49129\n81852 81956\n36727 84544\n10077 92782\n215 5035\n10983 26049\n9331 86576\n26774 55946\n62215 81104\n6229 16758\n13405 71447\n59033 69465\n771 41280\n1015 50445\n79439 84004\n9838 68185\n19771 70662\n67553 96467\n20370 93337\n4464 63819\n460 41162\n37499 68725\n28098 78694\n19811 47400\n15297 30811\n5091 61621\n17124 23523\n10611 23352\n21776 34960\n6905 84278\n20050 88842\n18395 44401\n37667 79569\n62111 98819\n3896 33088\n7582 18083\n13526 41181\n68783 84520\n53519 62682\n14801 73352\n39976 87164\n33623 81048\n48732 98303\n15678 56370\n27914 48347\n26310 68638\n9478 93668\n5978 30852\n20613 82814\n40006 40971\n29800 57910\n24597 44965\n32204 75156\n41578 56972\n11918 42816\n2415 82941\n41327 80578\n87489 92631\n76506 76582\n19524 70539\n32199 85905\n28421 86122\n59693 94531\n30442 73465\n4624 9361\n945 43467\n14284 99769\n8184 21796\n47195 75311\n68884 72917\n17574 63994\n27446 72956\n36273 96530\n50131 62359\n23424 66461\n9663 69206\n37030 92599\n26137 94934\n30126 33726\n7258 85114\n13911 14166\n51441 86321\n71059 97634\n70296 79988\n42411 58515\n93971 96073\n83042 88980\n34490 83700\n20101 79472\n16615 41097\n18061 65506\n6767 26538\n52508 78840\n49286 71003\n30712 68196\n57861 63537\n35853 67854\n11347 14092\n8970 41132\n2725 68745\n30189 32246\n17764 65589\n13646 93867\n17036 81251\n32337 67548\n24404 59602\n48174 61984\n26709 89964\n19892 24318\n32073 82095\n15142 34756\n21720 22475\n60598 88342\n29645 60563\n29773 53099\n47974 50655\n35609 96418\n75622 89510\n14703 33980\n83323 92112\n36744 92376\n12588 15134\n46578 70522\n3047 74113\n5985 16433\n7101 11028\n26573 91464\n27201 69317\n23107 70910\n3036 41321\n29230 97652\n7689 70639\n41082 78555\n14035 65357\n24111 95241\n26048 52937\n24649 91187\n37527 72814\n90260 97947\n46951 91651\n18274 49264\n16115 30286\n26944 34909\n4273 83127\n21572 31286\n48764 69574\n50463 80417\n4827 95648\n31330 97207\n41298 91745\n5655 38002\n10325 33787\n4387 11048\n22988 64600\n62434 67635\n50768 52307\n46399 55321\n58426 65123\n18670 40738\n9461 47699\n49028 70330\n19993 20872\n18989 38542\n59536 68387\n9031 24424\n53598 95137\n66643 75262\n14151 66006\n50246 77743\n58929 67524\n56928 67688\n18996 52432\n43077 91736\n58736 66737\n90301 98431\n84449 87665\n17065 46655\n81141 98607\n52475 99259\n8883 16230\n16586 79407\n34455 36859\n10735 62637\n73684 79685\n41060 51806\n62669 92812\n41876 55919\n28397 62690\n3119 76711\n84154 85696\n22075 98736\n2615 90315\n46912 69651\n13882 15268\n4766 60285\n29734 60971\n45650 94266\n81279 89123\n31785 95453\n8937 83994\n5749 28281\n73987 86945\n21256 83210\n38399 93335\n51178 88349\n5589 95830\n76411 90047\n84739 92695\n42999 77587\n15966 29399\n22684 45935\n3840 31738\n32764 61923\n78717 81868\n7394 51524\n16041 37595\n16590 83732\n5276 61982\n29699 56499\n33887 74411\n56732 93981\n9391 11103\n39455 39531\n66862 94477\n14731 73177\n3750 28084\n27281 53250\n67523 98030\n54134 67737\n39689 78258\n66251 83433\n14797 53963\n50006 71982\n18286 20452\n17323 81713\n66514 77619\n37912 82076\n45930 85247\n29588 61171\n61622 91254\n77344 85417\n19136 38912\n15345 58706\n51450 61015\n10244 53016\n28538 32597\n44058 69905\n52496 64179\n57559 79794\n59599 98582\n46928 92237\n49974 63204\n2952 97816\n9262 13393\n29197 66619\n2340 79998\n6655 81418\n75454 76759\n25459 79028\n8244 35812\n46841 54344\n60955 85251\n199 67330\n32225 50531\n41824 83958\n3397 12810\n12392 73889\n53836 69597\n62324 82124\n16194 57031\n20630 58156\n52244 70414\n59752 99747\n37201 85709\n87356 97745\n55657 58728\n29495 59873\n36621 83743\n8239 72492\n7318 54055\n28982 93169\n12372 89059\n66845 87348\n11592 81416\n69411 77776\n59775 95812\n29807 68675\n23354 75053\n14877 24022\n20654 32803\n24826 29769\n32504 45616\n16263 77251\n67945 86889\n14220 37796\n47379 64728\n24869 68715\n25704 83615\n43396 99637\n1539 57967\n12976 78290\n47532 56694\n40216 53272\n3371 55932\n37931 46598\n14750 77770\n97617 98510\n20819 21254\n58663 93428\n55867 76259\n37099 61224\n3855 22088\n66293 80514\n24666 64638\n42742 94351\n21480 29878\n521 89539\n4365 73084\n84975 95790\n12599 98957\n43272 55477\n25881 41583\n85148 93735\n17753 52028\n205 22014\n40660 74474\n32800 46723\n58804 77941\n29376 99701\n26475 96778\n54174 76861\n71648 87294\n612 35843\n9328 44235\n86619 90093\n64457 98078\n1049 43346\n34291 86108\n33492 93802\n12545 29813\n36685 74369\n55012 80592\n40018 66344\n28032 97457\n54879 99376\n63097 75642\n9432 76398\n21821 40813\n47967 89548\n647 8435\n10117 85436\n55991 63258\n53254 82645\n19880 77270\n55068 90838\n44639 50392\n2277 80032\n46750 62706\n76817 80290\n55105 58713\n53003 81858\n1277 8795\n3316 28521\n58265 67150\n4962 37090\n3166 22433\n51495 87163\n21378 37493\n5861 77203\n30606 82706\n6188 63236\n5663 59120\n73383 79095\n37815 97922\n26903 77774\n12519 88427\n15970 39823\n27196 49635\n14835 81539\n32519 44700\n30425 77151\n16982 20839\n37098 51084\n12332 45591\n42417 67710\n9441 29308\n58625 97702\n77345 78127\n64715 93926\n60341 60832\n3527 54326\n34746 53884\n6843 27644\n50655 57365\n54606 64993\n3293 56669\n290 78248\n53995 64467\n6802 33203\n1048 37411\n19191 58506\n2324 28187\n5841 86645\n71235 88861\n21528 84981\n10809 98563\n1565 53299\n9157 95421\n29861 34777\n9600 77247\n88201 94698\n39188 99934\n73353 90022\n54117 94425\n38146 60999\n1109 33542\n54137 67698\n19995 49312\n51197 98628\n31234 61487\n84635 85158\n23118 31429\n60633 87395\n4638 87598\n34739 98110\n16360 37725\n25741 26056\n20702 67931\n6960 66303\n9577 29265\n26304 96707\n52390 68871\n27832 93918\n38017 84391\n15402 25410\n76430 80641\n9161 82071\n11585 89737\n37300 70597\n6738 95600\n94389 96649\n37141 83508\n40426 57416\n81512 97155\n15381 93755\n44522 88448\n44414 50895\n23258 75594\n36775 40690\n76802 96036\n49435 54788\n70589 77703\n27425 92162\n7340 54763\n1582 51042\n52937 56043\n53933 76411\n73462 98328\n6830 46840\n40149 82563\n76638 90229\n41764 43250\n13924 91262\n49933 97398\n21497 71892\n79723 99599\n14302 27956\n43705 81460\n43160 77028\n39062 66883\n27456 99821\n10732 57480\n22919 56661\n13842 36143\n29854 33950\n15953 97602\n92168 98098\n33560 63299\n58689 81291\n14046 39782\n30206 40781\n82908 98307\n48156 93739\n74752 78785\n28416 30479\n10617 58050\n41812 85749\n419 83573\n1077 48511\n28076 59864\n66496 99803\n53388 69661\n24327 37419\n67498 98725\n21376 23196\n20400 88615\n22270 68418\n60574 85414\n25023 84951\n27474 44053\n53749 76827\n40039 82818\n22111 44391\n2964 12891\n30620 93592\n48924 92197\n11151 78628\n52434 85420\n69649 86798\n46605 95973\n384 16926\n26888 93756\n16113 30010\n65517 97302\n33440 58143\n74742 94340\n74501 82968\n10911 91205\n17904 96894\n56447 63127\n1539 64185\n79307 85551\n32119 38591\n26044 61049\n21332 85477\n44939 51163\n37741 65194\n68102 92035\n69315 84708\n22347 29356\n55400 99731\n32740 33351\n71639 96584\n18765 21706\n28567 63880\n21393 74297\n19072 77252\n4499 89984\n7634 49620\n7661 96991\n3637 29093\n17439 29739\n9830 39373\n46173 66082\n3455 19711\n7357 20218\n48779 84829\n62917 68179\n15132 32560\n10795 23991\n31411 39263\n23135 52682\n59364 59556\n20928 98785\n32767 86523\n42349 92578\n74205 76535\n20851 59169\n15213 80869\n8685 28189\n16706 98834\n57534 62800\n1764 67803\n13777 16649\n34796 97447\n14300 94160\n4873 67821\n6882 32198\n47263 79084\n60163 88769\n20085 62261\n21146 99708\n24618 83065\n46451 71904\n18005 46974\n25708 71890\n66725 91488\n5147 33457\n34425 65142\n39824 85309\n52337 89151\n44031 53718\n16056 66313\n11106 15046\n72142 86680\n40529 49811\n6924 73558\n3585 70947\n54803 79292\n62902 95366\n32206 78420\n9175 17716\n27552 60923\n28844 44100\n20332 94725\n71269 87091\n91473 94556\n38589 94527\n7392 95711\n5140 80531\n28424 38823\n11416 93096\n23430 53926\n87 59106\n13035 71589\n30076 61052\n24145 82451\n1483 33380\n30951 50645\n18032 75532\n57390 73513\n11509 77006\n13262 76725\n5914 63302\n83517 91474\n40124 88629\n32417 76367\n4787 26093\n25621 46979\n82578 99294\n30575 88796\n2372 61917\n46384 46600\n43680 52291\n67365 87369\n8155 82831\n15680 51127\n66846 72932\n52587 86846\n23879 74216\n42869 45550\n6330 95615\n11426 76605\n44837 65609\n6382 67909\n21428 47552\n19284 67015\n12677 28647\n14745 61570\n23050 36102\n57819 83580\n3318 3768\n10478 36390\n13224 45530\n1612 87915\n69947 89032\n70670 80446\n33855 62071\n1641 99891\n30847 70280\n69402 84859\n55172 84140\n43105 75074\n35345 73502\n47211 89984\n31252 93863\n48737 73205\n370 91738\n30653 70428\n5621 26889\n69527 77543\n14061 95710\n51185 87329\n29009 57519\n49250 89314\n67774 74391\n28157 82495\n58983 97348\n48305 64892\n80978 83870\n21305 85816\n5916 51402\n24685 77703\n41076 42629\n21269 85258\n55465 70129\n61912 89515\n14931 63172\n19242 89465\n20201 63545\n40144 49559\n6508 82401\n7419 70492\n72991 93083\n34521 59686\n10323 73863\n31314 33007\n11791 44354\n1522 40749\n13374 88298\n42979 54927\n42549 60987\n56964 86825\n16988 33935\n11588 64091\n14611 92809\n50054 89929\n4640 32696\n50788 60031\n50790 80539\n22025 58880\n6822 92565\n1768 95483\n23873 46096\n30347 95602\n77163 92828\n18661 57730\n16947 96572\n33198 71678\n74026 95953\n34003 98386\n68530 76746\n50774 52208\n8450 31567\n96201 97950\n11277 86581\n43347 78781\n42571 57693\n18537 24836\n5093 87089\n20907 86103\n5680 7514\n15507 76940\n12563 39144\n6377 92256\n32045 61775\n25808 83034\n2950 22196\n32836 53558\n61089 81618\n15809 80172\n15948 61983\n81340 89198\n31933 85992\n2544 78509\n11396 42262\n57847 84226\n35605 78066\n76164 99919\n38551 45536\n98062 98948\n50244 64807\n3523 42978\n88352 94493\n31745 55895\n73570 83560\n30498 58771\n3809 95017\n17591 65699\n37023 90315\n5873 97983\n63113 94138\n13995 47378\n7002 41351\n9019 67801\n16684 27560\n13094 35814\n44110 44833\n64793 79269\n33216 39671\n19244 91177\n1354 71574\n16458 21589\n60927 69505\n53714 54813\n8052 74943\n953 50509\n21048 96839\n82951 92678\n40558 51813\n42857 66168\n38334 68627\n14922 34890\n35751 39443\n50277 92062\n43520 77868\n78090 95226\n35447 78908\n27581 89602\n18928 98172\n1392 7103\n7614 66354\n781 87633\n78796 96869\n74141 88638\n82741 94056\n16802 60061\n85866 89133\n59093 96874\n30710 80090\n5422 62384\n5337 40873\n6810 76498\n20242 88679\n30898 65980\n45485 99290\n32644 59012\n61426 86120\n86058 99017\n485 67703\n44472 94564\n76041 94093\n39460 97556\n1096 25186\n6740 88221\n13389 43345\n43211 69345\n21334 90136\n11737 91960\n75526 83856\n63953 71708\n17555 98909\n79390 97287\n5047 76709\n14276 73595\n97242 97677\n13883 87851\n36744 58947\n9472 69289\n29877 82217\n25782 75857\n44684 91345\n23515 78473\n16682 61119\n15703 37978\n11892 36757\n23975 62389\n27345 77809\n10743 71923\n4845 46410\n14401 60304\n20112 62387\n8849 64176\n3170 57826\n41713 65585\n78197 84874\n59722 70281\n67205 99768\n20527 53048\n7386 94978\n48001 65437\n59974 91802\n37760 89110\n57271 95268\n22049 54043\n25088 85413\n14901 90822\n65056 83311\n3489 11328\n23328 23353\n36887 97608\n71355 93853\n38849 45274\n45077 88448\n31107 38590\n21349 54806\n17805 30592\n2531 22618\n51352 86416\n18329 83117\n22279 49050\n706 4555\n2266 34889\n12960 75530\n61704 70483\n24347 48586\n1752 48560\n19941 57373\n13944 60037\n20558 42475\n34855 81900\n45283 96454\n42170 99130\n4018 21620\n35099 39753\n89070 91473\n30256 83083\n2886 30985\n67125 98416\n32261 71507\n84091 86101\n22582 29284\n76602 87062\n32198 94955\n77225 82518\n62062 82185\n80026 95825\n23042 28965\n29008 46186\n80411 83930\n10386 55200\n40500 91921\n53550 93053\n29778 58993\n77536 84393\n80702 93480\n30492 69450\n24479 35996\n51460 55324\n21087 42879\n12841 75368\n46743 90589\n23526 63681\n29840 36481\n52166 93345\n70569 95870\n1373 83382\n91953 92739\n39344 43470\n18183 66540\n33920 97046\n14618 17937\n13033 20420\n31084 59310\n36988 48253\n37413 97318\n44703 97238\n26124 74654\n18160 80557\n22339 26547\n14554 61317\n10122 84098\n44903 68355\n4707 51144\n20456 37687\n10315 55373\n69071 79361\n69858 80514\n55843 82306\n36531 66926\n39304 91100\n9867 61696\n29367 69478\n4935 58159\n10563 14808\n38507 53999\n13504 63214\n11415 35263\n84843 91511\n63257 84001\n95026 96572\n7825 26348\n59195 97294\n41903 69695\n28752 74739\n59735 68366\n45018 98248\n5817 84989\n74355 81189\n21380 62426\n8784 47077\n40628 89424\n70820 71966\n27489 96914\n59942 81155\n46215 69623\n37850 66132\n35879 62304\n23852 41922\n2977 93664\n9083 19437\n48484 58684\n7582 89516\n71812 94736\n47387 93263\n16126 26372\n6544 40508\n44216 58660\n29134 68761\n6537 40035\n50370 91473\n14385 62730\n10550 72106\n43522 55960\n17250 70000\n22409 22606\n1145 71422\n16053 49760\n17533 55652\n35837 96462\n52255 60538\n23610 71087\n54244 92303\n49968 52928\n16026 77046\n64910 96635\n37065 61186\n7430 82555\n2151 7945\n53045 64465\n1184 98250\n56394 96322\n37767 91156\n21028 61432\n56388 94946\n35023 72500\n6899 70109\n59135 89568\n15431 75942\n24288 47487\n62606 62770\n32972 65475\n8304 99339\n45609 60645\n26604 80649\n65012 94634\n24757 43534\n2683 44200\n4141 67279\n61249 62556\n8459 97358\n61241 72820\n61066 78302\n683 72813\n66393 77816\n514 74462\n28385 48242\n20900 59345\n71478 74765\n7530 23213\n22399 37018\n15257 79766\n34971 45857\n12704 93732\n49856 94478\n5572 20984\n5841 80966\n5181 62913\n6101 69892\n8542 28923\n5053 68038\n53210 57860\n8933 27091\n92769 99652\n29281 48007\n19325 90869\n48401 85353\n27052 55511\n34746 55904\n39583 81839\n15275 55731\n5131 35191\n7229 15822\n49667 63647\n8897 57860\n7150 66679\n27085 44615\n19791 55122\n48621 93788\n36884 77473\n20497 45524\n17678 82345\n57311 61030\n22139 25167\n45358 53840\n11347 69966\n3864 83697\n50206 65636\n52076 64975\n46358 99407\n3809 44083\n29543 91651\n53285 90490\n11036 42633\n18077 32995\n19519 55445\n8464 28694\n40477 98681\n23301 70980\n26294 73378\n45282 90542\n54401 87470\n80281 94794\n5626 11090\n7339 17952\n41043 42640\n1715 98120\n10162 12808\n10323 93933\n501 35845\n72239 98299\n12050 92884\n42206 85597\n18403 21981\n20424 89003\n12909 26302\n19281 69602\n75763 98118\n3001 53154\n48509 58227\n5694 85072\n43244 45238\n507 60238\n50613 63060\n39973 42474\n85983 95925\n32415 83460\n35321 95515\n30618 32214\n15464 37725\n11270 79993\n8713 26521\n8461 33759\n2323 52463\n18670 84205\n25583 60106\n26932 56965\n9499 73826\n32693 95223\n34107 67460\n49323 57895\n20345 82210\n31617 87897\n19213 39652\n54853 68075\n34691 72370\n27886 30281\n7848 34022\n42654 90627\n23373 49823\n91990 93794\n13114 53330\n1122 28621\n36843 77853\n65815 87400\n39979 86041\n9652 98398\n55086 82567\n45056 93598\n23689 67760\n17548 69627\n74104 79271\n57347 74530\n29256 50186\n34358 54463\n2639 55983\n36030 60388\n44469 68657\n4902 63610\n82580 88273\n36771 74672\n49047 50804\n2280 78335\n17251 49805\n23685 87818\n30739 65429\n19578 88971\n15679 72581\n4928 11889\n25744 29739\n13766 63150\n16690 45925\n1044 28406\n34955 51742\n54016 85067\n2335 93517\n77558 78068\n84188 99169\n38857 74739\n36048 45020\n89089 93774\n60415 97500\n18258 93239\n42961 73008\n13974 35816\n8734 33127\n39462 61236\n17843 97885\n15964 27817\n13143 62422\n5641 40184\n7218 48793\n59124 95722\n45711 98707\n11452 37113\n54395 93903\n35499 52195\n34238 51423\n5007 77224\n11175 85728\n922 43044\n29937 92482\n64117 93460\n2039 48075\n31132 69695\n44105 45917\n73880 83956\n87184 93987\n89926 92181\n16228 34987\n6775 6878\n13462 42625\n17146 96222\n58080 87942\n30011 94708\n17298 21723\n53144 73587\n13932 43855\n25407 31413\n57359 63440\n3243 40206\n51547 77202\n22804 83635\n44816 54221\n43270 44336\n79 27547\n1449 72379\n481 75592\n29945 48546\n69 6881\n33844 48694\n58398 62323\n52621 82628\n47374 53508\n14910 39797\n4390 50387\n56736 74556\n12546 14179\n2139 66459\n39235 54809\n43148 65638\n645 43333\n63958 89864\n43455 87399\n47896 84541\n11481 66100\n67466 84815\n53466 70946\n19486 57399\n65004 82095\n49335 72005\n62764 82998\n63676 93383\n28520 91246\n84257 87509\n13226 58833\n19553 82690\n48425 81580\n38568 64416\n40880 41306\n11973 62445\n33778 85433\n71965 84076\n47990 99953\n47281 60916\n10653 46032\n46643 55984\n40948 47840\n58549 67089\n46136 99065\n90861 98817\n6644 28008\n34259 58709\n5256 75442\n18954 39820\n39385 87408\n2548 11277\n22049 24207\n27312 41782\n48529 71880\n42332 77890\n38632 92844\n40580 47716\n51301 65525\n48030 61169\n5271 74860\n80044 89632\n1880 35235\n21979 29967\n69973 87805\n23808 66961\n44562 55159\n4628 64200\n43297 43693\n11353 52060\n22063 78666\n64752 96067\n98510 98828\n51316 51759\n43838 59498\n44289 94537\n3461 30260\n28046 57907\n10707 42130\n7234 39762\n69730 81373\n3808 82325\n72159 75113\n30562 36048\n19252 84912\n32287 43214\n7192 82182\n45968 72288\n33781 42222\n17949 78876\n54912 68091\n29095 89261\n56238 76087\n25772 48990\n16998 32015\n709 77567\n61133 68768\n12412 32555\n95687 99676\n1584 74833\n20603 57548\n35730 50144\n47509 47528\n1248 73668\n68729 96050\n3824 48373\n51502 54110\n4295 81898\n54110 88181\n16692 78476\n43335 53761\n75548 85699\n29044 32277\n49563 67557\n54739 80503\n13199 55016\n83531 86295\n56781 65584\n11613 59697\n2923 75988\n30092 90049\n5501 29295\n51341 69111\n21792 81084\n3481 48858\n58737 94493\n4952 42108\n47762 83330\n2816 39779\n50861 61856\n79126 84379\n19277 28607\n21576 87505\n19046 49121\n33980 96742\n73232 87810\n46383 47103\n18499 50972\n3807 55262\n15518 90747\n12227 73706\n55343 75666\n36459 84418\n2692 10482\n1150 29711\n2983 57308\n54743 68307\n69573 93301\n38732 47640\n9340 66354\n25672 40570\n52332 58245\n49504 75277\n71646 83030\n55913 74251\n81870 82879\n51483 65923\n59534 63116\n43883 96374\n27901 68639\n74388 86360\n72094 97810\n59204 94672\n20151 33754\n1763 74692\n19823 23866\n43725 80435\n40982 58984\n50288 86643\n43503 95876\n23836 96408\n24379 53778\n5849 76469\n20427 67379\n68200 73228\n12332 37573\n65995 73568\n27335 39398\n28777 42176\n24864 63561\n10233 28479\n11590 51214\n50344 74350\n55837 95110\n27026 47139\n56330 90426\n9505 88925\n76534 86073\n63417 77689\n11107 12472\n23022 81540\n19301 37804\n26847 35671\n33270 35453\n855 95172\n25915 37811\n30662 86962\n16746 21177\n57203 92921\n28180 85537\n30254 39564\n4056 97909\n78916 82729\n23220 25591\n94317 97682\n36293 86104\n62612 94355\n16621 81115\n8158 77060\n61646 87625\n32236 54223\n61933 74104\n38253 94780\n42180 83054\n9391 13874\n15198 45813\n7608 74947\n40800 73582\n21602 87786\n3845 15484\n18289 22496\n74784 77938\n5407 97881\n73973 99736\n15959 61024\n26036 98190\n64137 69530\n2297 94733\n68941 70094\n47372 97795\n30662 48894\n33041 67913\n48829 74289\n40745 83009\n44790 75192\n12788 42039\n43005 98604\n11983 83224\n11904 82003\n74139 76835\n8214 53837\n36707 59353\n44869 70486\n37453 41817\n17441 81794\n8495 41696\n4390 54827\n77798 95336\n37918 54699\n45780 80288\n21545 42876\n11339 50047\n78536 91716\n2222 88119\n7318 34458\n2540 37352\n62072 77515\n12643 13314\n15721 67560\n12001 28068\n79653 99676\n53136 57453\n61662 79087\n42835 80584\n35237 68623\n5695 52681\n21272 52989\n24166 80385\n16304 77065\n3787 49906\n23484 66475\n21250 68689\n3266 34928\n56501 72607\n15423 22400\n59402 70654\n55854 73088\n27550 97097\n58758 89208\n5316 87124\n34505 90759\n4636 9478\n32284 43020\n23234 35112\n41636 83795\n16526 81291\n10153 43653\n58590 85078\n43463 99896\n87754 88779\n5237 8248\n9239 42426\n35337 94051\n27792 57540\n28174 46858\n17423 96122\n23114 29739\n40286 77150\n45915 96519\n58374 61749\n58071 58487\n56634 76873\n6123 76836\n84865 88048\n71879 95801\n3598 17670\n20361 58635\n19624 20669\n91464 99320\n15615 69632\n54557 71701\n28690 59043\n34088 69226\n19587 24589\n45749 99473\n72027 99337\n52263 77227\n47056 94271\n14164 48854\n77849 93148\n12879 72777\n52748 82306\n44688 50060\n17027 59535\n60593 68628\n11081 71892\n14623 79954\n2367 18731\n35138 87947\n2283 76161\n2234 19565\n5986 25429\n56358 97821\n87750 88670\n36512 96434\n22224 40325\n3753 90934\n46751 98209\n16889 32454\n54385 82777\n3876 62203\n43239 68914\n1902 16530\n15991 98548\n47434 71541\n67090 84024\n57012 59687\n62704 79964\n52628 98366\n13207 39481\n56153 94251\n34387 76676\n31767 78122\n18739 83600\n33790 87563\n64056 85222\n9992 34292\n12331 77454\n10876 77658\n9666 90203\n53201 90695\n20773 41669\n2555 13508\n27791 52086\n30781 73556\n12784 35631\n16799 78054\n32978 80273\n95036 98077\n22946 25106\n63210 72566\n23040 41756\n16655 31066\n63422 65504\n4155 5745\n38620 94378\n16253 21423\n62582 86321\n30951 71200\n72461 90041\n5213 63379\n61725 64936\n10360 21720\n23220 26344\n47267 58220\n4027 28841\n25125 67482\n24309 31137\n2647 95773\n71863 79730\n25938 28596\n26428 70808\n36778 48687\n21979 83206\n5122 16298\n95876 98328\n6413 46646\n1241 99763\n28511 52491\n82996 98545\n87078 92094\n94745 99378\n45129 62705\n36234 52608\n73264 77246\n77702 86845\n69462 99085\n52672 82924\n89753 94269\n2358 28273\n1460 54180\n5259 76943\n76730 79138\n53384 95899\n14279 84962\n29344 58481\n20354 53294\n47635 56553\n69650 72641\n12249 65883\n5716 88199\n36193 42950\n37475 65661\n67765 78952\n10583 25340\n9455 93444\n4683 8628\n62007 65177\n45369 58769\n3308 28749\n4245 14200\n18081 30362\n10231 79783\n33231 67149\n3333 87424\n61325 65547\n46259 81550\n25353 85698\n34785 90006\n22129 83062\n38806 77564\n38689 66317\n33749 79763\n43141 86180\n49432 51507\n30166 62594\n12642 77373\n17338 43184\n28913 65631\n2246 92971\n22922 66599\n37650 58147\n52613 61138\n70080 79300\n6021 53152\n39056 92602\n28140 92892\n10870 17512\n93673 95084\n1204 69749\n70879 77335\n44159 58404\n87135 93604\n18929 37446\n6058 37386\n9958 16281\n74325 84315\n11814 49398\n28115 71966\n9512 88194\n39612 82165\n18817 48388\n2962 35353\n67368 85059\n23307 98120\n34781 57149\n30149 92822\n53685 58777\n30308 52876\n34125 65753\n34706 66760\n71254 96686\n47387 85475\n54778 95857\n16852 50126\n36633 70007\n9696 93615\n25771 51565\n44571 64044\n34710 55049\n66905 84591\n16065 95227\n13800 49809\n30903 64704\n17086 74616\n21394 25492\n10813 36545\n55498 99283\n27124 28604\n27710 51189\n68244 84086\n6347 51881\n50199 59652\n23527 38753\n18977 27430\n23376 53144\n12896 32132\n39163 77490\n40034 97729\n9751 18466\n15323 25961\n37949 59269\n12459 37120\n28275 47991\n31062 85844\n4595 12608\n31072 95135\n81359 94428\n20792 29025\n72599 78584\n25131 84953\n20937 81845\n13362 57862\n31067 78034\n17892 41497\n1229 31772\n60908 75022\n75215 95556\n10117 83463\n58535 77831\n38977 73164\n45415 88018\n76632 88044\n11317 85251\n70977 96957\n35420 75183\n47488 86670\n37676 51284\n32745 47752\n42774 57060\n21901 47567\n26961 63646\n24487 69105\n424 663\n10106 10447\n84515 93065\n47185 74365\n71403 97491\n87940 95323\n64800 69252\n17540 63465\n27905 73866\n56923 70121\n12938 87317\n6367 51297\n54513 93217\n38452 41673\n657 31483\n38739 65409\n17368 22367\n35993 53429\n24647 27649\n19802 51122\n28609 31001\n6884 52084\n26970 82077\n48592 82150\n56845 69519\n45725 72225\n38268 70878\n44750 67137\n17824 23165\n3050 88846\n8352 91817\n10577 86340\n53391 79856\n4799 90642\n11923 21953\n11538 85630\n36894 81619\n20462 21889\n63057 98933\n6045 22328\n68216 95083\n16732 62516\n27235 79322\n36358 89592\n4567 80007\n9257 97367\n25953 38517\n4369 79580\n5220 18581\n37182 52230\n90335 94786\n61331 88720\n14696 46708\n48542 63864\n94635 95939\n14476 31574\n70100 93707\n3312 50717\n47694 55986\n40924 85087\n59954 67681\n31390 47060\n58921 64660\n48118 51855\n90103 93831\n68174 84339\n30500 55626\n36377 96822\n55272 68979\n25404 75450\n55683 59012\n61907 84851\n45405 97242\n6254 63991\n11672 92383\n54136 71696\n69800 77440\n48877 75406\n50926 70848\n20538 76852\n62605 85850\n10056 82569\n54481 92461\n18272 56287\n17684 49489\n37458 39036\n42194 45851\n2771 45548\n71090 74653\n32793 79657\n22769 38895\n27979 47593\n70375 91645\n20529 77147\n37780 62550\n83726 85853\n3456 84913\n31334 59056\n50284 67395\n5492 90854\n34590 79670\n51269 59886\n13029 25657\n6833 83849\n73603 94917\n26323 44524\n4291 79739\n24875 42202\n25070 83286\n39209 49299\n44787 78701\n36626 49994\n26276 91109\n21817 86279\n46771 57749\n26727 94287\n46785 49605\n8446 69296\n75322 81366\n77008 78010\n19708 91865\n28933 89529\n70340 90507\n69667 91966\n24683 69548\n9378 90680\n20129 56772\n30812 86516\n25497 54513\n6720 99478\n58394 75011\n58842 98981\n42472 75803\n8432 65222\n2914 21909\n49946 50990\n26846 60633\n42969 84763\n91069 95864\n1972 76036\n47431 94732\n8844 66160\n50309 85510\n7627 98840\n17512 19239\n10723 43684\n8697 99190\n21566 91554\n4655 67832\n429 93945\n25867 37033\n36546 94809\n8686 95091\n77042 90512\n4526 14052\n13148 75042\n8358 55210\n52126 79132\n25505 37764\n58908 82687\n21983 52665\n59542 94955\n8830 22644\n82448 90066\n70230 85816\n1349 6744\n18901 77418\n20533 52975\n5739 6959\n43633 86802\n10810 83985\n18296 80262\n24780 92771\n37824 52714\n42828 77666\n50074 67156\n54977 96740\n67261 71393\n34779 62081\n18552 72042\n92781 98909\n21772 55607\n19241 65740\n12186 23798\n8444 58191\n6756 48072\n19043 42874\n14160 42537\n82439 89411\n36389 93059\n10003 58594\n3974 68528\n29975 55644\n1437 2572\n12076 40092\n42204 92300\n43883 56180\n31809 80294\n36326 74424\n45543 85445\n45074 77319\n67237 77761\n19443 64146\n25009 37169\n79665 89337\n37588 71224\n70281 90753\n38756 57908\n73540 99803\n10979 52783\n33492 57373\n42557 49569\n39774 76666\n55575 59116\n87565 95082\n54755 73489\n5293 98491\n6683 16125\n10477 94052\n51155 82686\n65291 82074\n73626 75685\n3363 10562\n36098 90195\n25037 49254\n31358 61797\n58293 68813\n5655 56967\n28148 88756\n30 27658\n52319 64205\n6220 13286\n60963 75143\n33958 63238\n32010 44851\n5673 11513\n56358 61506\n15489 61484\n17265 50919\n29966 85980\n34165 70315\n43116 50985\n31181 68552\n83 83493\n16590 67151\n13484 94648\n20720 41774\n17059 76388\n49600 87366\n39975 86912\n51202 97163\n51994 84766\n21288 60675\n6098 56896\n24986 25796\n32746 66420\n8562 52961\n23676 40529\n14056 63250\n14517 75021\n85056 86899\n27196 68885\n59172 91228\n18627 79515\n4409 12901\n9 66980\n44610 47203\n78809 88899\n16699 55524\n35676 82862\n43463 68024\n17937 41933\n25900 33992\n42773 59728\n28071 91340\n3501 29505\n22315 67415\n34732 88236\n1555 63130\n11520 89940\n26424 28207\n36972 78122\n36504 36831\n36492 67010\n68049 97222\n1178 42133\n15954 98280\n60544 93507\n22625 25469\n85350 91011\n92117 97785\n84739 90428\n5990 45181\n2154 58651\n27776 49002\n11278 60883\n22230 70053\n68131 87372\n80209 94499\n10904 31052\n20479 33095\n14775 92773\n12627 31392\n19455 27478\n72481 91236\n799 84863\n64380 88904\n1258 51205\n52312 97150\n1124 6280\n19927 58232\n21991 94356\n38992 68324\n66822 99137\n62117 96026\n70938 83297\n67589 77253\n34710 80765\n39448 92835\n53213 55565\n11903 75867\n19723 51808\n42628 70263\n33682 64439\n4284 90639\n52439 93596\n14478 19080\n51304 91357\n57830 69444\n33295 95249\n59904 91909\n10116 85484\n1849 2792\n10879 24400\n82141 95046\n35466 83362\n5847 37781\n638 12400\n2796 98047\n76539 97293\n20687 34526\n32799 93993\n35539 52118\n30725 37449\n1848 56078\n4056 77222\n23761 41910\n15557 34651\n16500 91540\n44000 55914\n46182 55506\n3357 11605\n40457 49774\n50493 84123\n35930 99159\n59809 84172\n58168 66276\n59536 75804\n42420 97891\n10776 48066\n150 2838\n56623 92312\n56007 66841\n11160 63376\n84740 93085\n34780 51937\n23045 79590\n27959 58629\n80982 95869\n6652 48651\n37604 94852\n35988 87500\n66395 66972\n51081 83795\n49826 54214\n15169 35340\n13345 63396\n73450 92077\n47407 51788\n81301 85202\n50134 82257\n17096 49533\n31356 56320\n20913 66526\n8421 19316\n21569 30307\n49064 82368\n13221 22798\n81737 97699\n20553 44565\n4722 38675\n848 4460\n74594 89572\n33413 75419\n18788 35697\n79533 86656\n10175 22743\n31616 92255\n8207 65754\n14228 43390\n65614 87593\n71192 98920\n74740 86898\n5014 65022\n22051 51759\n44902 89706\n3927 62420\n78231 80266\n44495 48502\n9971 19143\n5573 28553\n2615 49143\n31772 35095\n65099 93320\n80016 96196\n42824 83239\n49742 98752\n96170 96903\n30562 84630\n28325 80424\n9732 89572\n5867 18133\n5442 17887\n12524 72824\n2419 46391\n74755 95403\n39619 68068\n20769 98594\n8335 64417\n44850 67932\n8566 77193\n6972 71947\n19744 28033\n15978 84896\n4897 88589\n33875 76158\n44938 56011\n48045 67989\n78744 94944\n42164 54339\n18934 59893\n33597 98057\n11847 87519\n71321 92185\n42775 66411\n45627 75970\n93058 94002\n51776 67003\n25499 28820\n38020 46867\n48314 79417\n45480 56512\n31714 49109\n22428 91153\n39831 99540\n3663 67829\n41951 82618\n19761 27393\n33083 98915\n18318 60891\n29500 44332\n55698 78274\n4291 75740\n12696 61654\n16151 58865\n47487 75358\n30778 92955\n69125 86071\n32662 40888\n21620 69997\n4884 78893\n59605 99048\n15077 23577\n25977 57100\n1293 67206\n18034 93879\n64705 75879\n26270 40794\n34298 90672\n11376 40148\n87776 93918\n30356 76593\n4867 78580\n45979 59120\n68461 99500\n41679 56509\n89078 89934\n29554 93083\n9533 92988\n93763 94623\n50746 82676\n66415 97070\n60956 83311\n16295 91379\n29575 47200\n2224 57711\n32430 80658\n64029 75071\n22481 45591\n64096 86975\n975 40758\n16559 48780\n10466 36331\n2326 11019\n41451 83979\n20315 38905\n45609 48671\n84498 85856\n4982 25868\n43457 46390\n15061 62977\n22308 27128\n44984 70131\n8211 66122\n45071 74949\n11367 59943\n10841 42081\n24950 47987\n19849 69421\n40215 88569\n18606 25271\n33270 42825\n2474 88465\n2967 66975\n18512 66889\n43943 99283\n29328 37699\n19748 51997\n15293 20618\n19643 22774\n8303 44965\n53192 84884\n35464 92468\n86157 97355\n38669 72523\n6965 93761\n33182 96431\n14515 97126\n69777 84352\n3268 59283\n39130 82421\n295 37369\n45658 79762\n641 83461\n95848 98743\n52894 87086\n65388 84079\n77059 79719\n76278 77126\n22271 23975\n24473 67681\n35560 86583\n28061 29269\n86924 89555\n61379 81772\n3084 80356\n12994 35720\n54159 73530\n53625 59345\n37800 82050\n43342 52786\n2244 55632\n47240 94217\n21565 44657\n22615 98375\n36133 84574\n6438 52295\n51613 85630\n82266 89809\n61505 88817\n40945 57357\n66871 90098\n74897 89250\n52358 72450\n53628 97711\n7866 44161\n52268 76400\n7290 77535\n13524 43538\n79357 86967\n88994 96262\n57399 78680\n45199 65415\n6484 54543\n26914 56677\n898 28381\n33114 72588\n54304 69745\n68009 93191\n22079 71994\n63447 76312\n3360 36797\n73529 88693\n14468 53558\n20280 27609\n30210 87136\n82228 99658\n27848 36748\n6831 70581\n25894 67793\n25435 90684\n45071 60362\n20062 63611\n13931 58903\n45989 85077\n20927 91451\n78967 99321\n42505 81711\n17639 69225\n9645 43995\n65827 73311\n10712 89674\n46125 79633\n15024 70291\n4687 28041\n23549 67817\n37206 80491\n77337 87618\n25160 34083\n26078 79887\n34802 84084\n80243 91768\n72246 83336\n62824 80575\n24050 99685\n50351 55951\n23487 79668\n5259 9465\n60539 96124\n12502 17026\n51329 60822\n5209 76664\n9485 27897\n46646 59641\n73891 99109\n58672 92288\n34633 85657\n18919 24453\n60566 60688\n16998 56818\n9848 79318\n29324 44381\n44480 47294\n17532 85627\n26139 59768\n27841 98061\n39455 97427\n32227 59597\n34867 74805\n62056 73665\n19579 67130\n4278 14746\n17554 89497\n16189 18238\n75593 77344\n76855 83057\n46879 62119\n47274 68925\n82307 84688\n23453 25506\n53626 97769\n3655 83401\n9604 55315\n41759 93529\n89974 99843\n29036 45518\n13196 22491\n97513 99938\n43206 56910\n30310 53462\n8274 26822\n32743 90464\n14888 81339\n22527 84117\n72926 90684\n11610 26793\n57371 62864\n68391 71547\n49276 74998\n50526 68976\n14244 66988\n5686 54430\n6017 90457\n19064 41628\n35155 84543\n17664 28793\n10134 61645\n37348 69303\n12777 93362\n79331 81300\n27600 37567\n48873 80170\n59765 97286\n51479 61998\n66058 93056\n25005 63437\n62119 94166\n20779 28599\n52141 90252\n40340 71173\n34455 99097\n58473 97194\n6689 27314\n8211 88165\n20230 71471\n1425 25399\n27873 79600\n26219 94350\n80935 92344\n48361 94840\n15020 33627\n76176 90392\n2030 22594\n11945 44460\n17229 65920\n26659 85439\n5901 74930\n11026 41996\n75759 93547\n18167 86958\n20946 71640\n16746 19466\n47333 56072\n46999 68932\n36735 44266\n45968 66031\n22385 99514\n42346 92929\n84387 87139\n56094 78744\n32487 96111\n55838 62352\n23244 68383\n67239 71310\n33761 82919\n2235 8382\n9877 41462\n64892 80906\n39150 79243\n23582 85473\n44526 76248\n16648 17124\n7248 12321\n58854 66927\n7554 38299\n11129 43192\n24905 99101\n3154 97605\n1341 56663\n1509 21857\n77083 91444\n11669 63991\n18803 63860\n40083 57500\n48545 89061\n38695 66136\n41684 43751\n13610 17662\n16857 47713\n43057 44733\n15472 63184\n1003 92709\n41644 58567\n25247 60864\n6779 76990\n23993 88788\n1237 43786\n17007 70169\n15851 75506\n82148 89467\n57311 69313\n40672 97837\n54995 96447\n19088 69520\n3535 89486\n39881 78354\n21252 22931\n52567 94720\n43047 93761\n2956 12021\n3277 12088\n26248 62460\n6196 26159\n28619 47856\n76902 81160\n18907 36606\n51707 65924\n58188 68231\n47492 96147\n74394 97098\n13700 23610\n18051 33609\n9825 85373\n5657 48607\n18450 78889\n93350 95838\n33986 52593\n41291 54327\n9593 81561\n3136 83652\n95967 96310\n41340 41407\n6876 60371\n35927 54728\n79130 89619\n56474 60900\n47136 80604\n66974 84462\n44409 72454\n28059 85358\n1086 85402\n6053 40843\n36975 71300\n43194 75990\n45958 99023\n14016 87176\n10922 19843\n36634 52696\n73617 94368\n63352 91979\n7061 47049\n34946 41293\n9540 81375\n68326 71470\n30018 65072\n1082 9029\n65107 69398\n58720 96734\n55498 77584\n58294 75104\n86550 98898\n26744 54418\n12023 19171\n50594 53848\n20462 48013\n54600 58779\n39439 69920\n32527 46901\n507 61193\n14428 38865\n28616 42807\n73472 81489\n7972 49722\n34985 48938\n22848 90967\n45372 54492\n72169 91169\n51107 94929\n47698 66595\n4882 50241\n28225 90676\n4694 48388\n48971 73173\n38366 90255\n38108 67303\n71764 72567\n13469 22115\n24444 36140\n5733 59873\n74144 80714\n13765 22956\n41674 42729\n35921 56243\n8715 31377\n35117 99643\n35468 59523\n37991 62104\n36995 86044\n67437 99302\n60588 85275\n7247 62308\n8453 80307\n7647 69856\n82628 98400\n18461 49115\n41630 55812\n25680 30285\n27594 70662\n44533 77391\n50225 57322\n55068 89322\n36985 49360\n500 35074\n12076 44132\n27518 91371\n3507 98495\n32346 42734\n20367 89753\n10225 33744\n8103 71041\n71758 92393\n65567 90259\n27258 37890\n14082 82224\n89150 96788\n6859 70650\n43303 53164\n10338 48889\n87867 99307\n51688 58742\n1909 83000\n41592 95846\n8858 35753\n66573 92749\n46173 87003\n40368 74690\n68435 87435\n20427 48924\n435 77354\n32974 35497\n26902 51528\n5305 70420\n45750 47265\n46247 87089\n43988 76278\n43967 60491\n12903 78519\n85524 89802\n23727 83061\n13026 55600\n27702 66619\n73232 86804\n228 1617\n3253 98444\n1139 3429\n6403 22020\n57628 89053\n52223 55067\n22020 96408\n44494 67724\n26039 89763\n48670 63133\n24825 35129\n71815 93813\n37521 42898\n40353 61422\n22285 74599\n7077 50447\n41972 98393\n14147 36168\n20832 73024\n11730 19576\n22622 60167\n26370 58177\n41337 75791\n236 99310\n74093 79495\n3933 80962\n79575 99179\n86133 93330\n38551 50187\n28727 61180\n16091 43012\n21909 73151\n50312 97896\n18836 93404\n11694 95097\n2764 4701\n19953 72932\n71924 99657\n15839 30542\n74420 76037\n89 48101\n27890 52151\n11968 20447\n8217 26978\n15857 36907\n66859 95508\n10958 58835\n32204 76573\n7188 80972\n51196 70889\n79531 97490\n43543 79937\n30300 84583\n47548 95416\n10519 11807\n948 71182\n52922 97380\n56020 98531\n7462 8471\n29508 80905\n30132 80223\n77012 99351\n31146 66180\n24448 47684\n59085 67368\n69735 72214\n14159 42246\n24893 61122\n33852 96538\n68947 93592\n18389 44287\n36900 68721\n8915 48286\n15186 83478\n15762 19739\n64188 85477\n5262 94147\n65825 99205\n43708 87286\n43035 58324\n54457 62623\n2685 52397\n19955 58745\n8665 61812\n18357 99567\n3482 51593\n3701 93862\n1364 59178\n69492 71355\n14932 46942\n27926 67932\n12809 79071\n6398 99626\n7695 10075\n1025 94593\n15797 57933\n68343 83334\n37729 71570\n20801 56648\n8640 25146\n37911 80345\n32293 60426\n36774 47510\n54415 93897\n50413 83817\n49622 79118\n62814 69429\n18481 70303\n8379 64168\n26370 85085\n3900 18006\n22097 99472\n26708 95395\n3940 38842\n35922 77708\n28290 37696\n21691 29737\n38597 98407\n60988 81909\n6563 46243\n82217 98645\n37742 70942\n78890 97372\n38905 81035\n37642 44476\n68773 70784\n42450 44202\n71879 97770\n13556 16822\n43095 45006\n19970 34107\n87256 93488\n7644 98097\n28946 47974\n12097 24850\n5871 18851\n50545 53182\n21247 49594\n70675 81266\n18886 87306\n94542 96666\n19568 60176\n25932 35941\n46571 85854\n9899 75377\n45087 55162\n28010 84125\n15826 98764\n80015 83408\n49576 81270\n7995 55078\n10078 37454\n77444 97068\n73659 88655\n64868 68955\n3222 69617\n4508 44605\n2878 22821\n23727 70914\n59017 63266\n85912 96843\n26484 38553\n20746 44098\n67882 97258\n74969 85534\n36607 39739\n36901 45807\n22872 44701\n78322 92261\n6154 65070\n11114 94391\n47748 68245\n24965 65363\n8835 72852\n621 9416\n30350 99387\n29209 77578\n16553 16687\n65797 86437\n439 36926\n10532 80833\n28182 65780\n69928 72103\n34990 97852\n32344 95204\n29975 61643\n34295 49938\n35742 75811\n63877 79166\n27273 63028\n66977 94215\n23877 28293\n51730 64735\n14290 72728\n69253 82450\n11637 44372\n50006 53811\n3485 59749\n33959 60384\n31572 40184\n20096 43481\n13025 81767\n55205 68811\n83372 89310\n1081 9765\n4156 75039\n72932 96331\n73214 86637\n15098 90062\n45448 55390\n25281 44993\n33392 52821\n72016 83318\n32846 84455\n58420 86597\n36815 78289\n22082 53895\n61294 74301\n6389 60077\n9441 82256\n23063 27781\n18824 45868\n1650 34245\n23277 97978\n37727 55962\n10398 44375\n30626 53993\n91634 95194\n21551 84739\n62657 78293\n54632 95798\n1966 67040\n24416 24982\n48169 92334\n73867 76520\n75747 88902\n80522 91502\n8110 83755\n9338 96123\n72994 74830\n31469 74246\n8481 94191\n8265 39995\n3112 45305\n20180 78694\n62613 69995\n49176 66325\n53417 94471\n57519 76273\n79347 94623\n95246 99295\n44232 70482\n20855 37823\n79763 95684\n42784 89445\n23347 70122\n1038 85631\n48714 50684\n2466 53100\n55928 56704\n27629 50542\n46902 94845\n25222 59112\n46446 74922\n347 74240\n8233 45551\n65055 67369\n11891 17929\n9869 69378\n83154 91646\n82370 98261\n26164 72851\n67824 76961\n8843 94739\n18464 66694\n65343 72742\n10866 34048\n22228 94263\n43235 95568\n30526 60991\n4217 13638\n48083 81365\n8059 74501\n37764 50425\n45391 51456\n18133 23837\n2819 97854\n12555 36621\n16074 48035\n24726 68152\n42878 47385\n51399 69619\n8592 86287\n39280 47900\n11613 58711\n6538 70195\n45981 69465\n12999 90871\n58779 95605\n15638 76947\n71383 91952\n63333 93085\n23627 25369\n8510 46429\n68366 85329\n25120 96806\n50547 72611\n38320 95215\n64564 70400\n30947 76807\n28817 72509\n52808 63346\n58145 58937\n17130 78666\n9175 54668\n5609 34807\n17495 48844\n45366 52829\n84196 85697\n71660 74604\n69533 86359\n5378 79877\n3345 64269\n19685 83833\n17206 83718\n18819 64210\n33796 54860\n25970 53091\n11222 79261\n35408 77124\n7400 94759\n36522 54865\n12285 70810\n53058 78185\n16925 84412\n23261 83322\n9689 98901\n3003 60212\n28346 28478\n10526 43411\n6032 70117\n35232 85510\n26517 96001\n7178 79713\n89292 95256\n24951 88384\n42072 79892\n23863 25189\n39830 99823\n6589 53735\n29602 60760\n18689 37795\n19439 77283\n31216 62229\n12839 99297\n3583 85897\n2380 23419\n4377 80516\n35006 36563\n26701 88126\n18489 95390\n25161 58163\n77917 95167\n78 60131\n63818 86221\n29404 71369\n11330 99316\n60994 74265\n16880 58281\n77588 97658\n16974 21704\n10277 36390\n8289 18962\n60601 74422\n29337 86241\n26785 92552\n65763 90611\n44166 88857\n35371 91828\n31100 66005\n27729 41089\n41878 98578\n8241 89879\n44173 64650\n28223 77914\n15361 20419\n15421 92932\n37827 40322\n52234 64424\n26680 31824\n30788 96699\n8457 40229\n11621 98026\n8422 88336\n4041 86989\n43007 71767\n13243 16704\n48943 80202\n13873 96607\n67552 95774\n20988 57443\n25733 72776\n18038 22440\n47867 65021\n16050 36041\n4794 58254\n2473 50277\n17057 81619\n7489 35193\n26547 66578\n8039 93732\n68079 75264\n25899 92737\n47263 99435\n36944 57038\n79626 89888\n53605 98843\n237 67087\n20705 39647\n12178 28149\n24305 97107\n8569 47783\n26422 89390\n33096 50393\n13510 53291\n31517 83369\n3296 36484\n50996 97415\n80188 82441\n40190 89527\n29329 93762\n79957 93778\n51641 67240\n7586 62313\n26702 74218\n75793 77704\n1481 15416\n62387 99494\n7031 92548\n3458 87532\n15719 19234\n10557 32684\n22130 63937\n38594 38711\n1912 69307\n66472 73850\n72655 93657\n42211 76631\n33 63850\n45188 45893\n56717 79419\n29343 85527\n50828 98780\n59159 98955\n706 34793\n35746 50813\n52198 85268\n5633 27397\n5229 89564\n14602 47513\n4070 49713\n14926 84647\n4620 45055\n354 87921\n7316 23588\n11370 81397\n80044 89614\n3652 98977\n25858 49932\n36985 75713\n870 49152\n21666 45692\n17113 90897\n45350 60442\n8543 15854\n45497 64399\n6159 86854\n79252 84447\n8107 13076\n86806 98257\n782 91453\n11570 45102\n67415 95630\n34117 97802\n60074 80280\n86092 92531\n23188 61164\n6470 50378\n3528 62132\n57765 94985\n23506 82898\n9291 49536\n49222 64195\n75338 99901\n215 94058\n17211 58173\n40216 40324\n64275 78813\n32229 84982\n95123 96501\n80811 82115\n36384 48532\n3710 38656\n12885 80755\n28084 28510\n60059 78871\n63525 97986\n84174 86244\n64342 88272\n67884 96180\n25342 49182\n24840 90619\n40788 63497\n31893 80054\n21440 81982\n37733 44832\n13764 82800\n17216 49564\n9688 65649\n22480 83136\n12990 74210\n2713 74544\n45060 74068\n7066 23852\n16353 73741\n44187 57534\n26832 26864\n36853 51704\n40718 97747\n45063 58052\n24574 67466\n42610 59237\n57954 74283\n55556 68266\n17109 38105\n75613 92093\n5178 42444\n2472 92764\n72424 80772\n19652 81047\n18786 99652\n5771 45970\n2408 23505\n18624 69427\n62508 88484\n25109 58273\n62113 74354\n21215 55136\n16586 96049\n39488 75440\n13302 25487\n6001 74827\n25178 91036\n54794 88016\n17787 41624\n24429 42918\n54277 60575\n12752 52011\n4436 44998\n40857 44248\n44840 45845\n2989 6988\n7675 49235\n37074 38410\n54558 78000\n8763 15458\n65459 72030\n70261 92784\n26058 89195\n89262 99492\n37346 40594\n23265 27736\n22005 86184\n16197 46553\n77230 81036\n17224 96067\n7881 28707\n37787 70614\n15737 74182\n28843 97061\n7503 72177\n20160 79099\n33867 70490\n29969 61310\n15938 70081\n36777 69346\n38451 93210\n1528 81955\n26255 68843\n62310 69521\n23056 79858\n22199 73441\n75091 90359\n756 27209\n19312 26784\n24453 40507\n1264 42639\n6159 22981\n64955 71271\n36014 83419\n3452 34091\n38015 47607\n82877 88641\n26038 29009\n41260 76094\n98221 98471\n17035 59196\n44179 64454\n6886 31201\n17600 63669\n49738 60043\n14686 72739\n63942 84508\n28547 42514\n53429 68378\n56161 56673\n13278 56704\n26231 76503\n21687 44521\n988 26082\n75296 75694\n44026 54921\n9986 76808\n19183 94875\n26303 82601\n6681 94724\n23107 89088\n37688 50424\n31811 65099\n5969 21306\n3924 35483\n30297 38694\n14768 45349\n14698 51187\n13807 57553\n10400 95524\n15653 23374\n69025 95221\n27618 63917\n31276 96815\n29073 35006\n3158 39803\n50245 59945\n34312 99580\n23924 33677\n6561 71373\n27572 41212\n30975 90243\n15672 57905\n579 88717\n18578 93597\n39795 84385\n19610 22211\n15711 74508\n53397 62222\n17988 20584\n23827 44088\n42593 65128\n40149 60168\n24951 31043\n70121 97476\n52054 53174\n73632 99590\n70082 96886\n48402 86632\n31020 40394\n22189 84843\n17213 83322\n54017 54834\n54951 71161\n34042 53643\n7058 9609\n33121 67061\n94486 98722\n21544 90875\n27010 34192\n38418 89055\n19554 92492\n31430 39821\n44379 55936\n12781 29098\n36225 96200\n862 23990\n40058 56545\n26283 60517\n62930 93401\n15332 82388\n17932 19389\n19931 38542\n12996 46476\n3468 91040\n7010 10543\n57119 94758\n9536 32916\n13175 15250\n17779 43528\n1026 28319\n48861 49829\n10273 21709\n5255 5766\n2451 26772\n26953 49446\n35765 51260\n82778 93072\n1247 32107\n40178 87738\n29823 50143\n510 63596\n25790 62886\n35197 66181\n36433 46083\n21354 83231\n24039 47328\n56571 78526\n12308 43877\n65485 94680\n51519 61244\n37284 69197\n49789 56347\n33231 57222\n42743 97868\n63200 84158\n17742 40957\n29278 31505\n21077 23207\n21741 99988\n18602 88422\n28294 90405\n28994 73176\n43371 58403\n49596 49656\n77087 96428\n18057 26749\n40847 95486\n42603 91919\n14852 17576\n71303 74430\n2420 18637\n24375 58374\n32032 61901\n4815 98532\n42604 59246\n6949 73767\n34096 67300\n80533 93084\n8863 99570\n2866 31648\n29327 88094\n46060 99851\n3634 27963\n31026 51535\n44983 88376\n47288 59592\n38978 74693\n11830 75410\n28576 31247\n29388 97196\n286 29061\n32743 82025\n28639 59313\n64284 81543\n16925 23659\n42592 65446\n21828 61028\n37728 73116\n35547 91943\n5055 30536\n61503 86348\n3708 51003\n45015 62761\n20406 82531\n48091 93215\n17891 55324\n15217 58318\n41269 90415\n55134 79118\n38175 95694\n64540 95735\n83100 98863\n3796 62733\n66051 66304\n17759 20556\n27980 43190\n20296 72361\n62755 96742\n47530 55348\n36041 49060\n11751 32667\n2521 17373\n2948 11081\n23753 57056\n26679 52575\n177 94047\n33072 55680\n11085 28327\n10361 38143\n5409 79099\n13350 39246\n45670 68418\n29546 47145\n32967 37815\n94936 95798\n9009 70963\n22363 52833\n36126 55187\n29545 91880\n42926 57162\n28396 32643\n6706 84032\n18989 50911\n28011 89872\n85645 99086\n7550 90783\n80913 90006\n39953 61419\n9873 49342\n24979 50538\n48519 92057\n10018 65016\n41847 75242\n828 71881\n73651 92510\n46095 79441\n50057 50095\n33838 48863\n5691 41690\n38212 56873\n6570 99899\n19274 54792\n14121 88495\n45382 76904\n74334 84797\n10581 72087\n49422 64389\n21709 59854\n9978 29485\n13249 73220\n21785 81706\n66358 77545\n34043 35318\n77725 87447\n38462 70995\n4404 89880\n506 24659\n59136 98222\n17803 18384\n25667 97825\n59892 77095\n36932 95792\n33923 34754\n15535 38955\n64511 73497\n1459 6055\n19573 48380\n23106 59796\n50680 98957\n53549 88612\n65435 99642\n6347 30989\n9940 79322\n26830 75325\n15200 77422\n94771 95260\n33595 59763\n29741 36437\n76588 79240\n12475 64038\n5152 66639\n23339 46403\n37884 49000\n57710 73348\n32403 93412\n60760 82445\n48230 66880\n78113 85559\n28957 31007\n66662 86810\n44931 71540\n476 75081\n96191 96682\n46747 71704\n25452 26276\n73078 96686\n14171 58929\n12190 88705\n3536 48422\n24821 42416\n35182 98998\n14148 41206\n44460 84139\n34463 97768\n75469 89702\n14937 28997\n31290 70567\n3763 35406\n12965 86911\n19337 64555\n69763 90284\n13529 75132\n15421 76012\n4463 6889\n40720 64925\n38534 45729\n77661 96384\n27711 73863\n15720 41096\n34650 60562\n27376 42559\n20999 47723\n1645 39078\n66532 69534\n50296 51353\n77226 99542\n12400 68727\n4797 23350\n87656 93395\n45823 57158\n7335 23433\n11664 93420\n20057 61689\n80002 97046\n29401 95900\n28011 58264\n40076 86229\n40667 83426\n62266 81217\n31614 31842\n25397 58711\n16004 34606\n27127 97936\n25952 30588\n8758 23024\n12659 53216\n26155 79692\n15887 70503\n30484 58189\n90456 91955\n64942 94646\n5559 90214\n10188 65957\n3097 86213\n40585 75116\n37301 64759\n23903 64061\n16158 44556\n49523 90910\n7799 42100\n3848 30536\n44902 91938\n41349 96238\n5538 92737\n14004 50133\n14486 24013\n91243 99364\n60478 94028\n14355 50724\n49122 64096\n4936 99999\n41425 76964\n48934 99172\n60520 71199\n3580 55587\n62910 74652\n1009 70667\n2445 29026\n10718 97698\n80094 86476\n66141 75215\n60386 78541\n41981 66332\n10599 98603\n26897 43884\n43248 83771\n17785 18780\n44164 61420\n77411 99376\n7411 40351\n52533 69564\n1533 35652\n68889 98104\n7653 13187\n44214 94269\n37850 77293\n59973 95981\n49616 67167\n41622 76897\n13972 65206\n18592 69773\n24187 76770\n18801 44304\n4234 60457\n53132 71495\n26268 81617\n57501 95600\n77285 95914\n3973 40733\n78879 90942\n67576 94303\n73121 88827\n67113 74173\n51833 97668\n16322 27060\n58198 95692\n69582 94874\n5543 25073\n73083 98329\n11905 24492\n16177 54534\n83982 96695\n84735 91099\n16619 86222\n32218 78768\n89621 91340\n28446 70462\n39872 78694\n11405 45964\n76025 92512\n65950 76606\n13236 65065\n36148 42056\n44277 73493\n11504 86983\n17343 97575\n792 9324\n5474 65258\n62176 64744\n8949 54342\n30196 74730\n4902 46163\n83100 99348\n31081 78592\n9763 60763\n27813 41865\n73218 84869\n50462 92227\n76129 93651\n55958 90494\n40873 50599\n13235 37313\n5556 96243\n3441 64868\n69458 90551\n13634 69846\n36920 74539\n37588 56089\n70562 87217\n3743 96081\n62738 86278\n81156 85838\n61691 78346\n25349 74096\n13049 85050\n56440 73013\n36313 84946\n43735 92391\n33135 68920\n45293 65570\n21498 30545\n1102 20083\n31040 66250\n10372 69507\n47027 81698\n14286 58482\n77757 86928\n13792 38501\n68730 93548\n32968 51164\n24409 28862\n48386 88192\n16574 94935\n47872 61482\n54477 82061\n93151 94040\n1935 68279\n83989 96849\n49209 58537\n29981 49912\n3784 47852\n39691 39801\n7861 86682\n3797 68794\n54149 66155\n24872 71905\n61754 66369\n43369 44021\n78167 78506\n15644 74453\n6162 23702\n79652 95431\n12097 33313\n61612 91386\n49014 83063\n60625 99102\n31520 44605\n5608 14545\n21268 78577\n52012 80539\n33931 75525\n5256 80616\n37402 53263\n38457 82786\n29844 88135\n20070 22872\n38554 96391\n53032 60972\n15146 17983\n36300 51238\n23302 88172\n35918 64703\n30038 61632\n15186 91985\n17946 92449\n69004 93788\n2992 53817\n11297 12990\n8310 77030\n22598 87919\n61973 86207\n45488 60682\n45752 66796\n49431 73418\n82702 99381\n25172 58086\n5894 57772\n5254 99018\n8237 30029\n22270 69063\n33537 68953\n36751 98028\n40961 81823\n39941 91001\n43000 77120\n62395 66738\n80339 97970\n43168 98381\n13738 25646\n8772 43857\n16129 26283\n20716 34573\n9833 19183\n1237 14698\n14428 32630\n45607 49816\n4918 36334\n15380 30684\n44453 46270\n31664 62000\n25869 96754\n1664 53207\n82166 84296\n17795 78022\n26918 76574\n3223 88599\n16966 66353\n61209 73815\n25484 46755\n34818 55837\n30073 64184\n83665 98780\n20275 84082\n73839 80250\n45637 70715\n53436 91008\n35711 84863\n71195 83710\n28751 41135\n54648 60235\n88477 98772\n81555 88437\n63106 79714\n42268 97445\n75364 78225\n70326 80201\n42837 82805\n46313 85737\n47129 92487\n16874 24368\n29438 38881\n61153 63823\n5455 63408\n13507 39078\n33826 97671\n3819 87857\n28447 32642\n52081 62570\n34447 87968\n22120 96962\n20627 81053\n19450 61007\n67831 90489\n53597 67500\n112 53745\n4332 76363\n11738 79255\n61240 77478\n40799 42828\n71095 78736\n16116 87397\n39294 90186\n12425 24304\n64689 90492\n37924 93058\n56832 68947\n3296 85341\n40196 85332\n53539 92621\n19302 99485\n16058 66693\n8342 78196\n42374 63645\n979 72175\n3953 16863\n22644 98687\n29815 55329\n6497 91462\n77804 95989\n40025 68958\n68316 69076\n1236 42107\n42050 46203\n40971 64012\n12856 39136\n37763 41664\n31465 33099\n6082 74462\n46251 50952\n58854 63326\n31306 39818\n35294 74431\n64007 87795\n15349 96634\n30549 43717\n4815 66042\n12156 42933\n946 52320\n37603 45728\n18342 77912\n41783 65520\n21179 59895\n979 49276\n72357 79190\n85205 96856\n33293 86915\n10832 55755\n26950 80318\n44893 49366\n15938 64013\n73170 75349\n11240 16742\n1151 24818\n31599 97348\n5789 93087\n47743 60598\n47389 55487\n8005 30204\n55855 61439\n3487 28084\n817 3153\n18182 31561\n10786 27224\n19037 40725\n5577 91845\n37945 73222\n19566 99433\n12081 39458\n48384 80650\n30678 71299\n9166 46288\n31646 87071\n17688 64889\n17775 49301\n52708 55839\n38243 55331\n452 14620\n10225 43754\n25704 34339\n16656 42697\n44017 77342\n56782 71604\n17982 26983\n2460 33491\n8804 99694\n31688 95761\n41393 70979\n43512 98101\n73524 95311\n50047 85399\n3739 32564\n17200 50196\n30428 66563\n5735 52312\n3962 96399\n5178 41360\n68648 80765\n59592 61935\n42360 57157\n6938 10554\n2113 77127\n50196 73094\n47806 88307\n22272 91777\n30303 86651\n2431 41412\n14914 55407\n6268 60515\n22371 27472\n20413 72110\n14518 97648\n12809 91813\n6058 16823\n36627 58600\n25426 34522\n79100 94253\n15450 95718\n31267 49244\n8848 19688\n31148 44491\n11065 61383\n16403 97716\n26743 43876\n92585 96721\n43468 66024\n68821 97707\n34203 91568\n15889 81780\n11638 59236\n29101 68535\n24301 70111\n54367 91873\n64891 96695\n4884 38693\n11326 38879\n7401 69318\n39675 46673\n2582 7697\n43137 71694\n7490 63756\n65213 82301\n31879 74937\n20764 95338\n34255 38885\n11859 87970\n60776 77656\n14178 57954\n19542 48406\n8029 35941\n24814 47551\n69891 70693\n83498 97182\n26313 74636\n61378 81129\n5345 96675\n4986 39025\n21992 30755\n823 52195\n40713 78846\n21869 59924\n35546 86361\n42147 45485\n55779 73818\n28324 59715\n43552 51483\n35744 60608\n60043 77058\n78114 95888\n21593 56368\n50258 60938\n19515 61193\n83893 97736\n3722 32735\n26302 97369\n19563 33635\n11338 25733\n50277 82592\n47011 73224\n2195 71080\n12111 69905\n15202 17550\n37816 86592\n29036 33335\n2274 55589\n5915 50856\n13409 48524\n36544 88354\n30551 77654\n9454 84437\n3832 97538\n72814 76799\n15505 61828\n38450 44149\n51890 52241\n84244 87724\n8034 88840\n31274 87925\n80362 89629\n6095 75083\n28893 61858\n39344 53636\n83971 92871\n5150 91489\n80131 94043\n66624 92395\n39316 90797\n83673 95998\n28310 86581\n36996 74890\n814 59888\n13623 97762\n7912 71336\n8796 28773\n21038 88933\n42384 77804\n51725 57750\n11624 33125\n14623 64522\n1199 36360\n5646 73652\n3417 55124\n40827 77083\n43961 60394\n9645 21645\n27015 33606\n71706 82330\n13735 64768\n49130 82437\n30848 38305\n4810 50981\n44842 82705\n33264 38951\n59299 89683\n33414 38421\n3701 63057\n44732 48628\n81017 91984\n35364 44413\n27720 64171\n10877 26749\n4795 53282\n36741 57051\n36071 66270\n26317 89950\n5755 34378\n31616 80643\n4954 12975\n26105 59249\n1522 94165\n21591 39821\n58140 60434\n7933 72567\n25152 80077\n21052 21449\n55818 69612\n17904 58377\n34848 66446\n29018 91925\n36653 40305\n21537 27550\n11890 26806\n14181 65934\n91961 94965\n1109 81228\n21687 43808\n29635 45134\n40480 92624\n61965 86352\n19892 60918\n10744 14103\n53876 57743\n20687 49260\n78446 79735\n42278 90367\n67386 82578\n86358 93926\n6220 84396\n68909 93327\n10713 64578\n2059 96403\n40137 88815\n89987 95681\n44912 77828\n27327 50519\n15187 95887\n21727 83855\n50883 91552\n24493 70727\n7677 66066\n19380 43246\n34551 74407\n29951 75660\n30952 55550\n24582 40939\n37534 89111\n5778 31479\n18238 58466\n42291 81930\n59245 93155\n36488 43255\n37202 60723\n9447 95355\n8680 51167\n55665 96959\n87476 94371\n15034 16477\n13453 78182\n1955 16350\n11351 53593\n21349 98031\n24798 93356\n348 87916\n6171 53182\n19440 51979\n17716 70868\n61732 98320\n2172 84146\n23296 88007\n44511 81058\n11771 40548\n8593 21810\n11413 88749\n56019 76858\n97527 98668\n29488 95677\n4666 18651\n61706 71939\n30862 86807\n23755 56910\n24493 28612\n17411 99122\n34532 55926\n11989 87063\n15761 55739\n2893 42677\n61608 85558\n5344 36544\n12756 19101\n35602 70187\n8792 65202\n87885 88641\n6826 72427\n20909 71694\n22285 43746\n60418 95368\n6131 90260\n16550 85054\n2583 78105\n5923 67869\n6163 93835\n16514 36515\n71363 72923\n18625 41058\n25666 53667\n819 88451\n79266 80405\n6 834\n15275 97929\n15570 66843\n6007 84329\n90906 97285\n80477 89540\n44833 83348\n42563 55799\n23264 53567\n51796 52363\n64147 93282\n67343 99185\n24042 65371\n3794 57324\n780 13207\n42614 97704\n37013 61527\n54687 93459\n73204 90454\n42078 49450\n9703 63818\n54204 90207\n73410 92118\n79345 92086\n45526 66344\n78294 90816\n70806 87816\n5158 72824\n50090 72774\n740 98837\n14273 47844\n5891 47249\n38442 41386\n3175 35185\n65073 87548\n50169 74242\n12080 96369\n9778 45112\n30443 47543\n23035 87164\n15705 58581\n38790 43049\n320 12566\n73441 93473\n44230 74713\n42017 86441\n52600 54965\n50720 87707\n40166 79684\n18382 39675\n30165 42886\n1972 45502\n40240 47331\n45256 59423\n9523 45326\n18536 66435\n3234 45121\n11916 22398\n55461 76803\n9837 40243\n54991 76202\n61317 91725\n39555 89542\n62987 91709\n28380 54381\n78 33966\n57440 73424\n2554 90166\n3529 16730\n4986 74327\n22329 57285\n85061 89961\n2691 60212\n13986 91457\n2515 14100\n55965 80233\n14233 98464\n1196 28630\n32279 55098\n61270 76378\n66928 86601\n11700 43951\n18287 88291\n51265 68107\n59365 85995\n23428 93153\n1790 35837\n5225 95503\n55948 74007\n32977 68924\n53089 77461\n50229 83757\n44308 74405\n80455 86567\n81784 84014\n15530 36411\n20726 93034\n7047 21876\n39283 39774\n70638 71756\n680 42537\n26658 26737\n59706 70053\n33623 92879\n16617 40328\n28058 68202\n26208 50592\n73993 81349\n34791 55274\n26538 94212\n36666 36956\n48790 61949\n60644 80111\n7527 15676\n28308 42584\n42141 90955\n7290 32300\n29263 63986\n9770 32788\n3223 41236\n53148 76209\n62333 99707\n21483 97720\n25816 39909\n36098 44525\n15877 90010\n68119 71864\n22366 25042\n83231 93778\n14360 17498\n55338 60548\n67354 75578\n65880 79423\n49198 76364\n29525 92709\n45056 49360\n43972 65711\n18627 55822\n38126 66792\n6214 70116\n29358 91394\n33820 85394\n28617 51979\n42156 57708\n32122 61707\n53113 98162\n29366 31779\n19175 83684\n91132 95006\n43316 71521\n14527 50361\n79024 83321\n37155 76514\n60206 80183\n88424 91706\n25560 32739\n1094 85007\n63015 63397\n10454 89226\n35792 53767\n31957 92946\n16929 70638\n53778 69898\n54559 94549\n48516 65483\n34825 71964\n25566 51583\n30720 78794\n40986 76512\n23620 59864\n27460 65108\n16948 39522\n38236 63843\n34642 76865\n45665 86218\n7996 33125\n20819 47094\n10716 83884\n38358 75964\n18767 55887\n78431 86675\n94021 95626\n32956 94717\n31520 77638\n20387 64595\n7877 32167\n48737 57551\n9296 23949\n2311 16455\n13632 47329\n1712 31673\n7315 51860\n22642 62966\n8691 66191\n3536 22732\n60174 73629\n65790 72517\n40400 85389\n16526 83684\n53990 67516\n76310 81534\n44232 56909\n8358 48635\n60553 67643\n47247 96494\n1564 42006\n597 53376\n24193 88707\n64136 72135\n44934 57703\n56021 78760\n29815 95569\n21487 46162\n39965 87274\n40024 95148\n45955 55180\n72770 89508\n5823 6015\n35680 71169\n19631 89009\n26213 34014\n50838 52768\n32443 46902\n37678 93422\n54373 99510\n35115 85505\n39417 76449\n4489 38114\n37149 56803\n13003 94521\n4541 45100\n40094 98587\n34170 42734\n820 88895\n25510 98463\n41328 74806\n8049 69038\n17726 63740\n43096 78370\n21662 68689\n60922 88042\n29634 75942\n9759 77196\n16790 49701\n65259 94066\n82870 97320\n25767 98740\n18350 51025\n11178 37958\n11896 46943\n1730 38014\n43493 78289\n59577 85182\n79677 85949\n36298 42951\n88791 96491\n32260 76426\n42974 56506\n40024 82552\n26907 78788\n42689 84885\n51129 67440\n28816 63734\n22407 68136\n21293 47887\n64784 83931\n13951 28397\n68683 77066\n22509 30485\n21652 69849\n17293 28687\n23054 68593\n23028 46892\n18767 40532\n70801 80001\n28506 36470\n32304 57884\n24323 74083\n66383 99348\n26096 44293\n34061 47214\n59419 74837\n120 68145\n3470 64238\n39237 90902\n90699 92040\n47032 67942\n54894 70578\n22367 49460\n15675 73056\n50567 62081\n21434 86579\n32615 57224\n35720 96766\n11094 42720\n630 20337\n33480 46545\n42602 73597\n57663 63465\n68897 76648\n68700 74548\n71727 78453\n4903 81198\n493 68125\n6850 31493\n3997 17279\n21006 67029\n19810 47765\n54839 84569\n49966 88904\n35636 89313\n6299 23917\n94250 96727\n10527 58522\n15010 70009\n12560 69136\n47698 54806\n44386 82743\n40515 57959\n4916 7699\n38318 46180\n21197 28079\n6285 80414\n29613 32773\n18831 96756\n41967 86041\n38140 93637\n33067 62027\n38961 74350\n5529 32704\n2811 97318\n90675 99844\n65369 82827\n58849 76052\n16124 26281\n81258 95028\n25009 26819\n17871 83195\n21032 82772\n5962 21127\n25621 47076\n10229 54989\n7795 47270\n10120 29493\n20023 57167\n21369 66833\n53784 67003\n26530 72571\n34216 49667\n31967 57151\n2897 88583\n30553 63566\n74830 92304\n31101 75669\n30846 95057\n7872 92932\n18551 70852\n3346 94856\n16803 55709\n2712 7282\n35793 60743\n36418 97464\n31720 75360\n67712 71781\n25461 95731\n8833 17353\n43063 60137\n67988 78238\n24281 52384\n58356 69420\n8458 83565\n30384 59914\n6779 35781\n32882 83628\n61822 78556\n18451 52097\n29390 39943\n16615 39744\n41995 67753\n14484 24099\n51446 87918\n30432 79357\n51367 59486\n45012 96462\n19713 98772\n22536 51269\n28862 45578\n36229 50794\n5525 87623\n15933 60756\n1519 2958\n1147 99074\n36101 49505\n2521 64784\n58415 80718\n56420 75465\n20651 69972\n23710 40211\n49822 57412\n62733 81248\n16668 40463\n34468 93584\n45912 80202\n45760 91504\n37189 45986\n62770 71902\n31661 89507\n28394 87699\n4201 47164\n8086 16589\n65936 94463\n59602 64634\n31266 55851\n64618 94960\n15406 86269\n33138 36091\n28292 71356\n24159 73599\n31420 74414\n13063 61466\n13152 15365\n65540 87933\n66202 70990\n11306 77719\n31563 33387\n31057 56811\n70251 95815\n15198 98552\n62065 80594\n8107 57242\n55336 94064\n37834 85133\n60631 84396\n25049 40893\n27683 28569\n37174 62153\n32737 75252\n1104 26302\n49916 78397\n43382 47319\n95550 96715\n10700 95493\n44993 65115\n19088 23603\n15339 96990\n19356 52672\n40576 93820\n1680 9499\n26072 51324\n37569 82766\n50778 86330\n43670 85260\n55757 99017\n37386 58138\n36402 77846\n36196 49714\n25124 39939\n68015 73549\n53803 84640\n45378 71608\n17117 59546\n39826 91278\n79210 84237\n46217 95922\n77964 93580\n48299 97656\n28746 85035\n17398 60281\n54032 89736\n10977 83840\n62352 95313\n69683 84791\n82929 97245\n3304 23827\n8592 46677\n37154 49837\n27385 87351\n46526 78445\n16596 74603\n37057 61084\n67296 99990\n22798 36406\n7908 53603\n51200 91631\n32238 46779\n81471 89162\n60989 78722\n14667 44168\n12476 59515\n44615 61453\n36470 47284\n32830 77355\n56834 63114\n35174 59217\n36843 73668\n45727 48810\n37827 40027\n5233 53011\n75044 93874\n8802 23375\n18933 64919\n51800 80936\n25448 62790\n20982 54562\n1605 80822\n64636 72245\n33715 60585\n3759 24529\n38821 95825\n11422 76638\n32526 50846\n56014 88576\n33640 73834\n5380 90082\n14608 37590\n60549 93198\n63747 77517\n6222 68931\n35456 97294\n28436 76082\n2439 73691\n33644 61218\n73205 94106\n64693 87593\n14144 91545\n55931 72208\n70588 84468\n31945 43709\n58752 91845\n27216 28997\n37418 66914\n52259 80165\n50681 53095\n45793 45929\n37450 68811\n51017 56469\n1628 99815\n1031 24606\n60938 76342\n66487 72822\n25220 26244\n59019 90203\n62722 94990\n76513 84993\n55116 76439\n34179 88247\n32117 61854\n13777 23041\n1375 60324\n6810 87209\n80517 85770\n20386 44379\n12394 36378\n77231 96817\n16354 87099\n38934 91540\n40988 84972\n5855 18105\n67283 93105\n87691 88063\n23426 44827\n28292 97735\n29789 97343\n33513 49368\n58881 67464\n12328 58998\n42011 70273\n41631 94313\n66714 80788\n48065 55186\n75334 79465\n6903 72825\n61404 91816\n30437 53347\n9488 89740\n3087 74402\n30135 69385\n67748 71356\n37752 48119\n10178 12090\n70136 87526\n19084 67957\n79211 90572\n33656 54500\n18959 79718\n26212 41556\n10419 22857\n13862 85204\n35364 62230\n25945 58519\n12076 66748\n51247 60096\n7589 34041\n38660 63285\n11337 54131\n485 61579\n3016 29803\n31621 33872\n4042 96434\n50636 77473\n2015 11894\n78087 96311\n22633 30047\n6951 26174\n37406 46540\n9533 30864\n3453 81692\n11679 62753\n68358 81497\n50461 66277\n3157 91852\n40967 52910\n90605 97391\n5188 99823\n33353 81220\n67259 86953\n26282 37930\n34452 41602\n76994 77093\n99171 99664\n17518 27069\n34952 90413\n36633 96331\n65914 92439\n63561 86027\n52870 69157\n32374 39515\n53572 75751\n55349 83706\n68830 99389\n43606 63944\n17855 52129\n53600 79001\n11433 34905\n54630 66861\n23501 31580\n55667 67172\n44493 76339\n4403 35939\n25384 60586\n800 34105\n11622 31127\n57881 92855\n14694 76890\n25486 88887\n26187 82610\n31597 45660\n46821 69231\n24271 84272\n22354 58480\n52336 54400\n86221 99705\n76153 94860\n40193 61070\n21639 81764\n5782 88886\n63888 89351\n61189 75900\n34692 78880\n31484 48813\n15537 40017\n52257 59204\n20395 95056\n25377 99357\n84549 91277\n49933 59246\n38183 89079\n30094 87056\n15868 59643\n37247 46695\n12357 21384\n43551 91721\n32854 64018\n86834 93970\n86027 92524\n43835 89516\n68766 91971\n17363 47963\n40955 59776\n6505 47912\n41711 81323\n39077 84497\n11996 32437\n16754 69331\n79591 83370\n63636 76624\n50574 53038\n73265 95372\n37579 52629\n10917 98911\n2393 63557\n27653 86751\n7645 93200\n27911 78870\n4950 29306\n31967 74482\n23282 83846\n4524 29908\n43820 72273\n43823 79682\n37073 78668\n50660 86244\n90007 95234\n32548 87732\n31884 43552\n12965 47698\n52196 93400\n14916 74656\n2165 89646\n78406 83481\n36158 91460\n269 56953\n33591 76951\n59348 86860\n4688 74778\n59527 64693\n45600 99885\n47991 60295\n18571 33233\n89563 93335\n11925 83415\n33719 76148\n36539 69017\n21109 81394\n91210 92821\n11126 56585\n806 3497\n21787 37417\n62754 77874\n22088 83671\n21681 89237\n6112 95314\n55539 58735\n4663 72954\n7199 88677\n16809 60774\n43432 81830\n41080 42960\n4520 39777\n15490 69080\n79521 86524\n82666 83413\n21151 74138\n33631 94486\n16416 94784\n37489 61363\n507 67765\n28102 66792\n9500 76017\n83949 89719\n72029 95844\n47532 99207\n49077 90635\n24945 63457\n34451 40493\n47035 82696\n85810 89795\n10263 79980\n493 81923\n46812 52907\n9985 94696\n28491 84632\n2927 61942\n308 25126\n22356 29772\n3660 56245\n10253 32419\n12505 33061\n6764 48150\n25805 55092\n16112 98616\n20100 23410\n16378 45934\n15084 62285\n76994 79334\n25229 79226\n2351 87197\n63444 87893\n66619 95499\n44434 45064\n27152 55379\n49903 99535\n55528 70576\n55117 88843\n56635 78971\n32603 93962\n15250 38595\n18590 88265\n17593 80558\n67145 68719\n53066 66195\n61679 96873\n22535 31416\n3528 59500\n9677 73771\n22945 82164\n21957 23641\n8560 33138\n16329 73383\n14932 51019\n22761 95546\n21247 27704\n44245 83832\n13245 49146\n19900 51949\n6455 99535\n45929 75339\n25858 87111\n38054 49312\n86602 95908\n67703 97804\n16290 75507\n28963 43657\n31580 34005\n1842 64485\n49640 57065\n19490 97458\n38770 63050\n25923 31387\n14822 30485\n15773 23360\n55301 97692\n20211 86117\n22584 90997\n22837 87271\n20371 29670\n23090 87799\n33132 77566\n46946 73131\n16786 75700\n46080 57365\n1953 48782\n63469 83206\n7744 10434\n7854 59379\n12992 63695\n32741 47259\n1076 52349\n13479 52208\n2086 68576\n28681 91622\n8308 43050\n1452 83993\n17736 81856\n81987 93665\n20400 32773\n72727 95588\n27483 35713\n3987 60760\n55407 71786\n829 52648\n33344 83852\n64022 92635\n36933 93355\n47163 84290\n31314 35034\n78510 94864\n58738 79971\n57560 93708\n32115 97813\n18609 22813\n31756 69666\n21317 43089\n43422 72604\n24423 71229\n51478 78700\n37206 76685\n53473 97531\n25608 38977\n12636 85842\n31544 72655\n1655 81333\n47879 59878\n73756 89732\n1519 57656\n2122 72470\n24787 89487\n36776 89533\n19988 46151\n50132 90346\n22772 53844\n36838 83791\n64426 74976\n40184 72327\n53648 80143\n19775 76988\n54428 57608\n9352 79733\n59027 91961\n26887 28913\n16554 76168\n24274 73122\n43584 64620\n15349 49627\n45279 60331\n30168 70495\n32084 50613\n57257 85314\n48183 72370\n12582 63449\n31451 61471\n46822 97482\n43461 85914\n3330 33476\n18341 43942\n9025 9264\n7765 68060\n36998 85628\n3383 59500\n51319 67572\n32578 64559\n66418 96356\n87408 99962\n28592 35264\n8940 23100\n42366 73200\n39664 48827\n16166 59447\n33846 79165\n32806 68001\n40918 42636\n12882 97589\n24577 25475\n11384 35810\n67647 79107\n61934 62792\n30731 64545\n19994 90030\n1827 11161\n31443 80684\n26742 72910\n38570 48555\n41852 84523\n89913 95577\n26392 99068\n42766 71939\n22770 36880\n86649 98000\n66459 67122\n15501 71976\n23213 57488\n32157 90449\n38384 57378\n9370 26592\n32831 43563\n17294 43074\n8323 45032\n83029 91022\n91772 93541\n37729 40677\n30214 83706\n69967 98669\n21733 22030\n13063 93569\n1512 14351\n70718 97197\n42956 47894\n37975 91949\n62658 81983\n57737 77878\n38204 84591\n30671 72300\n21487 22346\n97898 98776\n25091 95859\n29474 78501\n29894 81286\n23415 56442\n11963 31536\n56398 65553\n29630 42312\n56347 74884\n66233 69799\n17984 67422\n8098 12924\n44061 94940\n3708 65691\n59702 95866\n69221 81726\n14278 70704\n15604 47609\n54026 93567\n34883 63665\n41317 66334\n59600 90707\n11580 28184\n19357 72846\n46605 95281\n16960 63817\n64170 99142\n31312 57062\n35577 49828\n1246 35881\n20955 23742\n60429 85747\n4497 66639\n10032 82541\n33173 44743\n62830 76806\n37300 83163\n52910 59744\n62903 68619\n44714 96712\n26824 86802\n2297 89954\n81768 97729\n56175 86906\n8494 56422\n12653 50622\n11715 65602\n14294 36182\n63462 80963\n10280 95450\n9016 81915\n97542 99773\n12576 23230\n50940 99897\n7259 50126\n92383 99289\n4772 30556\n42965 46084\n56478 90086\n20699 96189\n17094 36937\n78392 85769\n69140 86895\n12855 19544\n54312 84386\n27195 81021\n18415 93161\n42150 90254\n1753 19290\n12540 49765\n42459 55535\n65345 68693\n67111 84565\n3315 78015\n28606 51575\n32178 99333\n69401 89806\n92326 93886\n56704 89743\n79077 81508\n29215 56284\n4812 98221\n16266 68943\n71093 98553\n6888 39300\n2532 65711\n76972 91795\n14893 96238\n36151 52590\n1015 5816\n44435 62945\n53348 76781\n79773 80877\n82339 88474\n38691 96507\n12410 81409\n24247 87589\n78291 85627\n749 82921\n50758 75241\n44697 84699\n66273 84424\n25262 63401\n18407 34127\n12385 42646\n31436 63514\n24494 69219\n443 81145\n19136 92316\n14735 30909\n5751 49032\n19388 57999\n14938 33892\n60819 90343\n52932 99261\n44974 93713\n42777 42923\n40536 71910\n2258 76571\n7251 96147\n89369 99331\n36494 45560\n68282 92614\n4662 30776\n13972 91252\n28145 39334\n69936 88628\n46106 81216\n7091 45341\n42249 49025\n16261 20686\n36335 71281\n57778 80127\n29807 31378\n24921 64250\n6281 38192\n43240 76903\n46784 66073\n60096 68792\n35301 97051\n16963 86800\n86855 98582\n17126 92327\n17828 36096\n26388 36811\n61358 74433\n13284 49007\n36636 68889\n11990 70709\n57613 79560\n50126 75581\n22712 27729\n77568 79464\n64345 97824\n399 20335\n69774 96190\n38599 58052\n29654 54755\n61810 75178\n22055 69590\n23133 48785\n25249 89588\n73568 83416\n20213 24163\n46182 94419\n24759 93081\n86606 90056\n21529 85141\n28529 39144\n8550 44244\n26426 89069\n2481 61488\n2141 17728\n23740 34937\n97882 99054\n3908 66488\n74545 75529\n24946 82570\n22228 66987\n41001 72112\n23027 96471\n25557 72461\n59275 92565\n11183 20565\n66134 82774\n2296 6088\n18521 44806\n15568 59729\n12521 78444\n21966 46204\n801 6689\n48607 94561\n31280 95178\n32001 55231\n23688 89564\n52714 69421\n15028 24160\n67278 73697\n11466 16229\n84316 99239\n29788 54232\n69480 91345\n1216 95571\n33211 82000\n16619 30400\n41263 46805\n31998 68528\n48358 80944\n45965 66300\n33356 64854\n24100 99259\n33379 82706\n87988 91591\n34141 36049\n26371 45815\n63602 87882\n15526 96597\n28460 58051\n58009 90308\n21540 70308\n32076 59067\n34076 96937\n25616 38402\n10292 18428\n36508 63195\n40055 85667\n2274 82347\n17285 69116\n26021 66765\n15564 21257\n26659 83058\n75793 82902\n15073 49846\n57697 84953\n43179 75743\n33083 41624\n85573 87615\n44351 75321\n7064 62545\n62644 74095\n13148 22764\n14206 95022\n17346 26444\n3461 75611\n76278 94146\n22779 94333\n31529 86583\n93783 99418\n39136 76030\n81277 83803\n5305 55411\n2105 14869\n83440 98359\n39185 60078\n34924 58720\n31004 59414\n22184 28170\n988 97596\n9105 98669\n16416 24365\n16806 36118\n44055 48524\n39818 60643\n6977 28541\n482 83038\n72743 95253\n50319 90044\n10123 22921\n38672 63525\n7823 21121\n47674 65405\n73353 73823\n40739 49728\n409 33638\n16913 67048\n31939 66329\n53690 88330\n66420 85118\n44994 68443\n5497 60991\n38741 71070\n48148 71198\n52186 79007\n23184 29498\n75904 83569\n48734 53626\n57817 62928\n69904 75571\n13702 32073\n89429 99336\n33214 65085\n5464 76868\n1003 1021\n40102 40439\n23662 39810\n32294 35089\n37010 70341\n54185 71405\n3482 37925\n17870 68794\n43390 79711\n55509 89393\n65380 73183\n61804 76152\n33732 35175\n7703 75708\n10027 31380\n1274 11592\n37486 37686\n47229 81673\n28199 66680\n92145 93773\n3031 92142\n47358 56179\n1273 99009\n70827 73884\n25310 42439\n41838 63525\n38828 76620\n17058 24807\n82407 99514\n75286 86391\n45919 61663\n63773 64684\n77296 93553\n6567 67197\n50299 77687\n45139 81047\n34847 80091\n30001 80102\n75457 79618\n9820 80139\n4771 16585\n67045 85597\n31776 98067\n2151 73260\n32569 71401\n44868 60504\n92107 98111\n35516 97272\n84737 99144\n84554 93997\n23627 43489\n30505 50196\n16057 52991\n46680 51120\n9483 25264\n28092 73426\n23698 99763\n66360 67812\n62917 71503\n11700 75037\n27709 38298\n43067 55894\n51412 60702\n3096 22992\n71772 96699\n75347 95967\n477 66561\n2288 38125\n82870 88910\n27753 55087\n1163 46592\n60665 96616\n63443 81200\n15116 98253\n6397 57514\n6715 94196\n9342 42056\n12898 39565\n70481 86502\n56280 85535\n23034 51753\n87632 93281\n7550 92062\n17071 72313\n11813 44755\n55335 56401\n31338 80814\n66594 89773\n325 69483\n60390 69958\n4454 98807\n31008 61050\n39320 88711\n69291 84353\n38378 43609\n17237 20611\n31335 83084\n31930 78298\n23710 73299\n18999 28027\n17209 26949\n62850 99751\n13248 76992\n51088 78083\n14706 74111\n28675 63324\n36092 84516\n16230 99850\n851 97461\n21079 32579\n67007 98043\n57433 83221\n1250 76365\n22415 83291\n58689 78918\n39925 96991\n1754 83282\n45647 63777\n61170 70002\n19211 96334\n75185 96270\n12520 29366\n39932 43064\n67392 84186\n62189 89326\n82504 98529\n35418 35674\n39169 49683\n63547 89840\n18359 86206\n51250 86246\n17983 71653\n48829 81475\n41399 99263\n19826 53134\n7251 44091\n60828 85018\n32974 40475\n65974 68644\n9965 64338\n57798 84816\n22418 71747\n61132 73142\n56583 68183\n77938 97167\n18197 66927\n56969 93824\n49670 61192\n12155 79115\n14224 50966\n2886 49670\n29260 85665\n54833 87208\n38333 66981\n6036 56651\n7190 40334\n78833 86746\n48743 81168\n53381 66899\n76798 82807\n7965 31222\n46580 66287\n5540 54474\n40843 92714\n35926 89464\n41413 84462\n22349 28711\n5551 95348\n61370 61513\n19611 74617\n2644 99298\n4888 83281\n55215 86266\n90725 94350\n17012 76409\n16883 75285\n19978 47447\n27204 82528\n48386 88796\n4282 46719\n51618 64639\n55477 95260\n23063 46067\n17204 90861\n12587 91802\n50962 77649\n1818 80243\n44162 95901\n14974 44026\n22936 54549\n67905 97101\n16397 47759\n135 49808\n5046 48819\n41974 98993\n56664 92943\n88642 95347\n78850 93629\n48447 60266\n27060 29801\n20878 77215\n9268 48229\n7359 98307\n33327 35277\n13443 39401\n63590 82440\n16859 25225\n25284 96884\n48617 50097\n6561 48670\n42677 97829\n10026 87660\n31127 94471\n22692 77202\n35096 65711\n2576 11619\n16118 50576\n10159 89412\n15561 41166\n2459 6876\n25100 26846\n8054 35238\n29117 81983\n22794 78471\n15804 57116\n5538 20049\n2391 58888\n60340 88039\n826 33234\n10002 33001\n86081 87299\n6758 66478\n30566 82241\n14940 60969\n567 83959\n13103 83633\n42421 88941\n12707 26797\n6454 47031\n43260 85056\n45604 79346\n10341 65374\n9565 68013\n54174 82333\n30830 70164\n30400 34367\n93043 98697\n14094 14574\n11844 29486\n23893 95056\n34329 88004\n40776 81123\n8126 73064\n46949 93020\n18915 54339\n950 20569\n25181 79620\n6350 44450\n14924 87124\n12785 50587\n16181 29157\n3528 56904\n48054 65154\n25479 88694\n9977 72696\n73832 89021\n9263 20017\n68726 76869\n52794 72867\n39537 42747\n12725 93430\n28763 98607\n854 9277\n36226 52560\n160 91890\n42267 42456\n20647 71965\n14208 55587\n60454 80726\n39777 80662\n13010 48908\n68447 91510\n27247 62557\n44532 60980\n52797 71137\n1672 39024\n16292 40374\n17889 44291\n7765 77454\n34969 95867\n22183 45779\n18202 52455\n37903 67680\n13836 44332\n52396 96684\n84298 88064\n10206 43357\n55346 77995\n5095 73885\n86882 95894\n23240 77767\n6603 86949\n22938 53334\n3956 40230\n2162 33380\n4931 25277\n142 13231\n42635 84430\n33543 48003\n37187 86026\n74555 76536\n73238 98571\n18252 80074\n12413 63363\n38 9739\n20608 97288\n1444 12498\n16977 38808\n1633 24602\n11230 11518\n58346 67300\n10306 40814\n39650 66515\n36937 78036\n45193 85279\n11804 94369\n34998 71717\n40054 44522\n34160 75511\n15766 80521\n7197 31064\n4801 6461\n49141 62830\n1271 8702\n31219 37904\n46568 85856\n62809 95634\n30553 92169\n10711 13197\n64659 70896\n3926 34695\n21244 35906\n18402 99559\n43651 50727\n9436 35641\n22122 83505\n50091 81212\n17602 27330\n19750 80610\n1590 52971\n42926 92184\n30009 40671\n35947 86333\n9868 34779\n53598 56026\n30632 67060\n47016 57203\n372 9980\n32804 87061\n98707 99403\n20328 99587\n7056 92626\n15473 40462\n16998 30384\n57265 90308\n4708 10554\n62309 76494\n9042 38133\n63054 80815\n74183 77792\n23920 63908\n59835 60887\n12903 47082\n15502 23944\n49256 86513\n65418 98501\n60562 80157\n26230 79499\n38532 76266\n63653 97654\n26445 75576\n4753 99005\n11818 24577\n24333 48734\n43560 53135\n36783 52599\n55269 56722\n38787 55528\n79672 83043\n8742 35813\n19511 75255\n4860 28257\n59864 61803\n27750 47370\n85644 89230\n39133 79547\n2000 21813\n56617 93755\n22673 86726\n50416 72025\n18830 29979\n650 77226\n17216 70465\n33610 74919\n25312 44198\n45294 67231\n489 48995\n2573 88180\n59066 78707\n13348 97241\n5469 50879\n53777 60928\n8988 94831\n35063 83990\n76202 88091\n13515 95013\n65159 77179\n76964 92316\n64869 98501\n14577 52728\n29066 40764\n48985 80936\n73610 80173\n88874 90085\n24770 33917\n59685 98523\n11329 16285\n48610 54969\n38842 79992\n34984 67373\n14335 25471\n15122 26432\n35163 87159\n67589 93596\n15891 47144\n63177 63551\n16023 38758\n6139 20117\n16379 67055\n56831 67858\n6426 60877\n59277 77515\n26004 91283\n771 83064\n3245 65905\n2363 47948\n12167 36296\n9947 34579\n11743 91817\n33036 71142\n21907 40783\n23349 51151\n23258 58635\n31998 63660\n25349 56624\n81306 86789\n34082 45584\n69677 80630\n34937 79395\n4398 77636\n55838 66131\n16356 63482\n39854 63288\n5517 9424\n15123 63794\n4960 93561\n8405 38927\n39929 57591\n2317 46243\n5804 47182\n45544 64421\n29834 93529\n85598 99146\n11681 46507\n20960 33614\n8814 19469\n20713 49939\n33885 77672\n19867 37771\n18051 25683\n17122 87274\n44942 57767\n67505 77222\n12045 68893\n7768 87143\n76763 91916\n23099 97601\n70821 84668\n28424 52816\n1990 75434\n23650 80397\n44215 94678\n49471 86620\n73542 89150\n42162 78426\n496 37047\n32524 71367\n46690 93438\n39094 92241\n67021 83210\n8660 9916\n13503 49641\n63505 63561\n37828 89530\n40065 86620\n66068 96933\n2351 51097\n9726 33477\n28870 55432\n36125 85750\n29372 33884\n47993 74276\n25739 68733\n40696 85753\n81999 97681\n53356 60660\n8510 43594\n57341 61786\n17558 38434\n40231 97038\n40681 89383\n66138 85543\n73823 93682\n21270 60553\n20578 97327\n4466 37927\n30284 78359\n19968 91377\n11950 26367\n1179 76066\n28072 61313\n31782 45456\n31201 35558\n7458 11611\n68000 77031\n7682 92970\n176 34479\n65755 82704\n60956 89948\n63071 76286\n53141 74126\n1083 56470\n39429 93873\n80369 87219\n14133 99592\n85082 88082\n8115 9738\n24706 62904\n30890 47451\n20270 96265\n55508 75902\n32266 32894\n9615 34686\n8706 15053\n73063 85618\n23024 34735\n42955 50314\n31112 95607\n15146 77614\n6026 24083\n32439 33446\n20307 98252\n60775 89876\n42358 81235\n5537 98389\n51125 76996\n34743 45133\n22801 47664\n65808 88213\n27168 37437\n58194 67108\n19589 58591\n27340 87949\n5386 52798\n45085 76036\n23275 73670\n10305 17715\n26724 30448\n18332 89319\n5792 34767\n37742 86795\n22791 70184\n31430 42373\n12709 79262\n18604 51735\n33077 74500\n11232 94183\n26330 30527\n90446 93931\n56514 79704\n60956 62015\n6819 53502\n5287 64440\n38453 58573\n37098 76939\n722 95884\n3692 66093\n57482 93152\n90540 94973\n90405 93892\n42165 82659\n51140 74311\n9724 14377\n24129 78782\n3629 33859\n54589 57006\n3476 54582\n42621 57995\n17054 27203\n60965 75185\n37831 56769\n5906 87797\n16169 45664\n37189 98597\n29013 34902\n11963 36540\n1698 96886\n55296 87358\n37051 42946\n38479 55740\n50549 57791\n20485 79026\n19569 52023\n21114 59802\n620 10342\n89143 91692\n32134 72104\n21879 71400\n48052 88649\n39152 80512\n13557 58759\n20869 56088\n49942 64729\n1725 92507\n28476 35011\n75110 92704\n13943 76974\n21855 79377\n24836 69828\n35896 63864\n54751 86343\n3665 81818\n70438 93909\n5509 86176\n12673 13252\n57171 68049\n41988 98623\n14329 94230\n22780 26609\n25124 69422\n13897 75999\n50632 56624\n72796 86129\n15047 85756\n44468 72707\n1145 25072\n44313 88589\n28267 33512\n68548 86203\n24171 36633\n66134 75861\n62199 62421\n24585 69442\n22779 82675\n6985 10729\n70120 76575\n7872 55376\n49912 95361\n7665 12965\n78022 85110\n78877 96405\n49042 84888\n50 69465\n86303 90038\n46546 85265\n31623 79763\n18861 71630\n40844 95560\n15352 62942\n68270 69206\n43134 61345\n344 68462\n46904 76173\n17678 68871\n82678 95108\n64180 68762\n20411 45117\n70414 90608\n65241 98551\n5732 30453\n69595 81730\n22783 67815\n72929 95624\n71323 95410\n78823 95670\n37722 60575\n72143 75376\n79449 88345\n48381 75047\n19097 82307\n52667 87068\n26371 73222\n5867 33192\n10202 38736\n9830 77620\n12851 75135\n40196 54974\n35610 89429\n59730 99131\n28501 77984\n28262 86870\n82497 84593\n45221 59030\n7914 29605\n33941 37017\n62685 87981\n27957 71109\n68302 96891\n18620 34596\n55086 89026\n85863 89646\n42669 94503\n28696 38611\n24582 34662\n11005 51916\n33433 48397\n3313 82495\n22554 95241\n9189 36420\n2165 80291\n54497 61519\n20652 91707\n2341 76792\n8809 9492\n23000 97491\n55482 79220\n71219 75074\n75652 92126\n9147 97082\n6508 87498\n45260 97143\n36524 73498\n6020 8662\n55656 76694\n5635 75459\n31823 34754\n59989 67918\n4923 73912\n1719 36286\n40496 53994\n39978 67366\n43826 61190\n28036 81580\n41791 73679\n3033 62879\n17821 41795\n51831 61299\n63056 95910\n60746 70352\n2263 33452\n57047 91781\n9305 84686\n66974 76893\n19844 95013\n42055 65959\n68547 96164\n49593 57242\n9548 66017\n40415 89558\n74764 95382\n12017 71231\n37301 89062\n39409 63735\n70825 75041\n28773 53016\n3421 16305\n51753 65718\n50788 81041\n7879 14506\n7050 44726\n3093 68516\n22081 26124\n31632 45719\n36611 85835\n38055 45641\n10900 74853\n47773 53843\n16729 79825\n47084 72848\n6157 54376\n19437 74051\n29817 51408\n3212 37826\n71876 88074\n26009 76860\n52890 80619\n1998 77847\n11020 44764\n56203 75571\n71994 94637\n25946 75715\n4304 37550\n7995 55316\n29097 38943\n37978 84831\n13610 95294\n60093 84997\n20774 51796\n31212 49787\n75925 94357\n15957 35277\n20194 52346\n38719 56516\n2779 51991\n22323 96235\n12727 33335\n3458 29427\n64785 88876\n26560 43385\n55319 91508\n21055 70904\n11449 29599\n19204 81976\n187 69707\n16793 44493\n27846 58656\n4985 48309\n26241 73483\n9524 40470\n18454 84247\n33531 64496\n33814 61066\n17564 46044\n9249 40454\n36589 40865\n67688 67820\n963 95640\n22042 53618\n74097 81883\n52266 83684\n23675 99007\n37621 55757\n40404 84174\n21047 64865\n62228 77840\n63533 88009\n16377 63693\n16070 72130\n23052 96571\n3035 63608\n6820 22708\n47310 84114\n42248 68476\n36931 44174\n13958 44868\n6484 70515\n13366 40149\n8290 49679\n15778 93771\n62305 76406\n12793 77812\n25766 96218\n14939 66981\n35970 67208\n89120 97237\n18432 90614\n17269 93633\n68242 78729\n17368 44616\n26100 72910\n31311 89956\n91629 92034\n26308 81053\n3359 83551\n64681 82512\n52268 76969\n12089 17728\n25418 85910\n29897 46222\n37498 62838\n10494 59322\n60619 86054\n5876 54800\n12875 28424\n64214 94612\n13138 18464\n40633 50289\n60439 87960\n3610 68200\n76129 92348\n8093 61206\n11173 96945\n37344 59616\n56180 97365\n29210 90918\n22244 75287\n30210 67846\n1028 76741\n60004 71142\n54582 64281\n43901 76455\n56607 68049\n9915 41126\n55403 98666\n12631 27214\n1337 70816\n36004 36777\n51378 55827\n28078 86942\n34674 66376\n68292 85828\n9266 12857\n1355 81710\n39619 58947\n15740 90362\n14170 86728\n14959 67718\n30379 31690\n44385 72756\n25488 59122\n41474 59580\n45307 69714\n78251 81551\n30060 69484\n38486 50613\n45817 77720\n17960 94972\n529 84075\n46012 74205\n38822 78935\n56890 91890\n10695 15190\n1531 29182\n41423 77271\n35941 46964\n53717 95217\n55724 73314\n6745 92980\n91583 92453\n77622 87043\n48855 73838\n19518 47280\n29052 52155\n7479 90464\n41351 51789\n31122 46111\n3445 17320\n2031 29478\n33516 64518\n19134 56710\n49015 77977\n76707 78663\n1378 92646\n2538 74865\n16302 95378\n69950 73945\n38600 59252\n27749 30508\n23940 92519\n15699 85127\n37594 39343\n51348 85790\n2948 92632\n42456 44096\n6265 76819\n54482 65672\n940 31528\n2156 24948\n54665 71850\n31911 54191\n28980 65240\n75590 87200\n1066 22793\n11957 68581\n73504 79966\n15537 92171\n5433 79835\n40312 74522\n18800 40827\n47964 54510\n62499 64458\n49042 61046\n56959 62545\n89433 98942\n40052 42795\n35801 39547\n8187 93399\n78827 89232\n72148 87397\n7223 91406\n3921 31551\n48113 90672\n28932 58594\n26660 92473\n1380 80306\n58965 71567\n44070 70513\n6636 83958\n63625 90356\n9153 29562\n1447 4992\n15975 96823\n6646 62862\n31131 70201\n55431 84547\n34977 85552\n2108 84121\n46957 55934\n2421 29635\n2703 91409\n12128 64280\n28431 95303\n53445 77345\n82537 95933\n56591 59963\n24962 66693\n71660 96685\n15706 95534\n5056 47104\n3408 73060\n46366 67894\n50132 87068\n6689 57492\n3395 88983\n13827 43358\n37224 40438\n75914 92470\n51258 60585\n54231 62567\n64018 66747\n5737 37963\n78327 78521\n60337 62379\n25882 74387\n8492 67832\n17364 99965\n21164 47201\n23057 37400\n9784 25317\n28914 96267\n7964 77968\n4457 41257\n55768 81686\n24667 72188\n60797 69778\n24243 40890\n24024 52710\n23899 59452\n94084 99846\n37213 57752\n19928 42162\n57793 98605\n29850 75735\n46792 53417\n56587 92127\n18402 62551\n10190 96504\n49454 64417\n3170 56435\n30766 68301\n8200 39371\n43965 76316\n54031 55570\n48862 68968\n56932 67528\n17661 72964\n20921 80634\n20735 66364\n1628 7257\n14404 50828\n31296 87484\n2405 41911\n232 79020\n23697 64699\n64871 80197\n11950 45272\n35317 63422\n15061 46678\n27025 82246\n54034 61995\n5498 66963\n35494 66620\n28586 88455\n45235 76408\n62878 68683\n44683 96378\n10498 47564\n77145 81666\n53707 83150\n72225 86812\n6816 67771\n59660 76873\n62757 64457\n17187 25998\n28417 86595\n50630 77649\n25642 34883\n20132 38069\n18089 68074\n21854 31823\n55877 76778\n47054 83580\n38754 92819\n38549 90503\n57318 83773\n13838 15701\n72738 97038\n71453 89569\n64798 88396\n52280 83437\n22227 72121\n8167 88560\n45398 96913\n9969 24256\n3810 64102\n29344 41320\n34252 53919\n69887 98215\n5526 25123\n44274 48027\n5056 74558\n30669 57146\n23681 58672\n86405 94600\n10318 80772\n29113 57796\n12265 75743\n62909 97203\n1446 12934\n3445 83056\n76032 90258\n33728 45773\n32690 65001\n77919 98270\n29613 59197\n48432 96264\n47278 71514\n12185 92858\n73938 92443\n31919 50805\n4266 90801\n41139 76707\n85438 96285\n96337 99176\n34947 54544\n75409 93298\n17876 23032\n63374 85612\n24127 63966\n16061 58248\n7149 7256\n47466 80987\n37474 78830\n28100 34822\n16045 60245\n16091 57506\n62036 96484\n23939 98637\n34996 39356\n9063 95290\n12081 67330\n23667 47992\n44377 89133\n52547 63560\n6216 90154\n9938 32836\n5639 94238\n82956 84043\n33432 48576\n74812 92076\n26311 99207\n1529 31313\n54764 67878\n63052 99016\n290 24945\n4353 17587\n18903 26305\n1594 40453\n11317 21666\n70628 71292\n35438 91748\n13486 85573\n10622 63377\n38873 53596\n41145 94361\n30333 88418\n30366 31053\n9413 15793\n9434 77072\n3371 18828\n38454 52426\n40529 46195\n69147 79767\n37000 41525\n53494 61883\n45040 48818\n30164 91419\n92458 94459\n16300 55439\n20123 92568\n53911 84976\n58526 82693\n67771 75414\n22326 74585\n1435 55426\n5029 15145\n28389 29200\n39425 61069\n76879 78082\n2573 64195\n31109 49058\n47445 85647\n28804 63550\n3222 99096\n51796 86291\n236 53966\n34469 88863\n9905 14151\n8852 64768\n64074 92998\n7876 54190\n67708 95845\n62562 90737\n27537 64361\n58902 68308\n60983 85330\n38670 80935\n52273 87002\n11490 18867\n5018 36482\n63561 85104\n25355 89181\n17930 98730\n7035 85495\n2817 61888\n30879 99474\n66438 99253\n29466 61809\n54529 96288\n14169 91606\n14110 36130\n46256 65049\n1926 78796\n3073 64262\n7821 61001\n16847 41882\n18448 56045\n31256 85221\n1470 61310\n66816 74855\n44375 54611\n54300 78654\n65404 67383\n2734 26777\n56225 80279\n78656 91764\n19318 72209\n74697 80142\n19587 45164\n16346 87374\n18673 39076\n11339 89654\n59528 87490\n83395 99814\n35662 63324\n24004 70594\n4390 36832\n81021 98484\n30672 58706\n28044 61285\n47164 60971\n42870 60725\n34402 45479\n644 20736\n21297 77433\n30478 33777\n2150 7306\n42061 66839\n48299 48725\n17585 20809\n74405 80152\n84338 99638\n12221 55084\n22328 65236\n21492 30839\n73304 79000\n84372 99150\n391 11808\n53445 73283\n77485 89170\n61820 66081\n79714 91005\n31142 59990\n40497 61682\n36844 54746\n41085 65466\n65240 94357\n32882 47373\n53617 71529\n12117 94670\n2731 34267\n83792 94699\n19009 54097\n67202 99135\n28644 75516\n16769 20805\n23652 65859\n25783 99956\n41002 74099\n11155 53020\n1472 2301\n75414 87535\n13302 90191\n19697 94881\n65568 82240\n66226 79631\n23495 90590\n36285 44083\n4763 77542\n90718 90957\n8768 39880\n62484 62815\n24787 35069\n14748 57103\n32716 58238\n42635 87359\n27356 51582\n8729 8928\n70924 84031\n6568 77368\n71343 73534\n29020 46663\n46519 66038\n50350 78675\n29341 69400\n71989 92037\n1499 50729\n57527 78665\n59050 71038\n26073 39432\n71234 74658\n3908 62278\n38589 39387\n58955 76516\n88797 92850\n67036 84533\n65542 72895\n28681 29638\n82062 94471\n8683 47358\n44057 96724\n74204 78770\n72878 87262\n16691 78996\n26653 32114\n60302 81576\n41800 79901\n87170 98889\n32683 77326\n49807 76836\n12615 59204\n17513 32481\n54592 71778\n74023 86887\n12943 57822\n52865 98471\n40693 56798\n73100 86898\n7196 71835\n79332 98817\n649 88010\n12135 68883\n1019 26677\n46883 57368\n56171 64927\n41578 63340\n24098 44813\n79567 96866\n709 68781\n23548 43002\n11581 54617\n69090 78513\n32702 39561\n18191 34253\n5136 86393\n6365 14586\n2582 31320\n18335 35756\n36277 89626\n17292 31260\n3689 40793\n569 93227\n67009 97747\n551 36429\n57155 86135\n2897 53616\n9236 56331\n3124 64377\n60995 99296\n38743 80951\n75971 89036\n76075 78640\n34185 46528\n40414 50561\n16029 65601\n35744 48173\n7675 69947\n49896 89791\n11253 45517\n54906 56792\n32632 47580\n80477 88254\n1404 9699\n484 15245\n62889 88329\n33704 61762\n85876 92314\n54172 76538\n13659 21904\n83137 98349\n55950 88879\n11065 20463\n29786 31134\n69007 80139\n9111 17213\n33102 82041\n18317 39269\n61497 81497\n49258 95832\n12432 28480\n58195 66974\n61476 75925\n43890 92719\n18106 82674\n23228 49703\n24095 85110\n49240 95748\n44613 91705\n73853 78073\n28987 81372\n61787 85718\n29523 60677\n12762 33451\n39066 51387\n61792 78268\n62595 81945\n5713 46269\n20944 40582\n48380 57915\n64596 78480\n31832 85878\n7978 84946\n24536 94540\n5124 84407\n29331 41518\n61435 71846\n11201 13909\n18558 21633\n76871 80176\n10999 67729\n15586 61295\n46385 62900\n28733 29883\n34721 51011\n35033 45307\n38072 52648\n629 98835\n82429 85429\n78683 90861\n3122 38738\n27176 42383\n16464 80637\n62671 79949\n25284 72464\n3499 28383\n10516 40208\n87860 88389\n8331 86777\n5208 80659\n63514 73590\n10264 16545\n63895 88932\n43599 85065\n19120 21483\n55184 95958\n43707 76334\n76039 93267\n15781 37833\n14205 14688\n50776 79702\n22751 56550\n34093 86853\n30428 77808\n6349 17961\n23059 96291\n9821 12784\n2465 53704\n26122 46283\n91709 99827\n33696 99093\n7292 58119\n20014 98857\n45581 69362\n27488 40519\n56039 86992\n78498 95009\n48535 84768\n4604 75923\n43030 60942\n64340 72339\n38746 66307\n49773 87744\n74179 98487\n47772 82981\n62931 94360\n38679 57713\n33496 52504\n6582 11674\n69700 91655\n36891 79604\n59705 82005\n16116 92797\n7756 23420\n30480 89163\n48704 87225\n15959 98570\n646 5818\n58838 64462\n45911 77916\n17473 58441\n43525 85700\n33549 62912\n58180 66778\n42378 88690\n69090 73649\n44181 66908\n16398 84349\n3132 99883\n34269 98161\n6299 31918\n2425 21471\n46328 48041\n62278 73641\n20813 57760\n17811 42018\n16291 86088\n20799 22425\n36218 42592\n16818 82638\n80682 87857\n18714 68850\n28808 72995\n51741 89147\n4077 79184\n26141 91300\n41092 53511\n45940 87919\n7734 23366\n8139 89293\n59306 78540\n30076 30167\n29799 97416\n39385 80889\n17098 19862\n53405 77788\n19506 70640\n29462 96590\n28541 56082\n4541 16207\n60458 74320\n26554 65242\n60893 69199\n43850 75667\n39510 65110\n28650 52722\n44379 71556\n16678 92544\n19333 91008\n9390 38449\n25783 51162\n54462 83088\n27828 62223\n20059 29683\n13145 53583\n35862 55340\n21780 61070\n28529 59390\n69328 92964\n77593 93751\n33067 95217\n36999 69420\n25695 27034\n17544 20711\n75873 91900\n26726 92829\n32611 82238\n45782 73644\n41667 85423\n44916 63051\n50839 96532\n29004 66826\n68573 99154\n4218 89896\n17863 35889\n5875 10161\n15571 69621\n38976 69342\n59728 88833\n40731 56335\n8938 71538\n79768 96792\n15542 31830\n32674 92514\n84488 93703\n42921 52612\n63488 64104\n14399 56453\n28512 78545\n11465 61728\n79243 99038\n58231 68074\n14209 50784\n18118 49232\n32288 78669\n63272 80440\n2270 96103\n15472 60126\n9525 66466\n4048 47991\n62623 90534\n41259 74619\n94674 95141\n45565 84716\n20843 24520\n58533 66170\n46213 95772\n46372 84545\n62723 82133\n35741 44978\n69214 80613\n35603 87440\n69695 99298\n30378 40861\n7612 14530\n56223 81396\n71501 87119\n31920 85113\n7741 69221\n62819 85806\n55581 96328\n12308 42669\n45912 76419\n7998 59909\n18873 60871\n79269 97121\n1952 52354\n12939 30756\n63256 77933\n27002 69264\n64612 81237\n28520 81150\n71748 73780\n12677 27575\n4406 99516\n88057 98248\n34668 37282\n35716 40556\n67805 95632\n26906 61986\n12806 70959\n24904 92172\n14563 29177\n16301 56600\n31144 76008\n2175 68799\n43781 92108\n14656 65278\n75322 98689\n3515 18002\n8344 28812\n16851 21213\n7344 15276\n7214 61631\n8971 62398\n43827 44817\n20359 45122\n77155 81019\n60642 75726\n37927 42577\n54273 96623\n13783 30656\n20651 96167\n21777 98379\n34313 67885\n59759 93202\n92883 99920\n26882 97312\n55051 98761\n31787 54786\n37563 99898\n19260 75292\n27138 94288\n31371 64319\n4812 59621\n17805 81070\n11093 26663\n56375 68708\n5162 28676\n41430 61066\n19929 99020\n23305 42530\n3156 52091\n23918 35656\n37798 87365\n13259 88325\n29369 73339\n31361 44034\n41472 41834\n66200 68977\n14559 84849\n24308 85233\n52895 53461\n16981 77671\n24156 33885\n26807 75957\n17990 35131\n21329 45729\n10454 11299\n15871 27167\n62804 95256\n5059 49950\n69389 71272\n6625 78838\n4187 26669\n32175 32433\n13561 42387\n35499 71519\n8915 60780\n67190 91038\n25666 64928\n8106 96847\n9166 77968\n3477 96702\n43985 47670\n42412 68124\n696 88052\n44364 62467\n579 32998\n6506 68166\n29152 70689\n9177 57393\n52501 80095\n2629 20974\n64457 82813\n51966 55223\n41406 78172\n11933 66017\n20710 88266\n12234 79868\n56396 73595\n15817 42599\n47152 63908\n4221 72932\n11017 47700\n24177 37330\n12419 38138\n26305 27670\n1433 83183\n73611 97978\n6920 18017\n37374 71878\n53666 92971\n39632 98903\n27287 35077\n30052 78078\n48268 55417\n6129 88431\n8103 62543\n15663 87810\n17774 46429\n37251 64850\n43743 57550\n36065 89716\n87499 90270\n47079 85742\n83038 88413\n17264 79484\n19860 61377\n12686 32731\n62714 77820\n48735 72901\n80728 95442\n1844 38140\n33852 76603\n44999 96127\n2262 88885\n21485 25011\n18161 94750\n69347 74931\n26944 53849\n10753 88911\n37087 59125\n3708 10304\n1821 71928\n66629 74133\n26177 84361\n13152 40658\n18728 60665\n49823 73208\n62482 96992\n29718 60701\n74542 77770\n64246 79051\n82473 83216\n6675 26443\n1407 33387\n1274 88965\n7343 73971\n77408 78971\n77710 97961\n70267 83534\n58079 77086\n51585 83222\n44793 99820\n15403 89204\n8566 40919\n28534 55357\n62482 76045\n64843 68788\n27605 62026\n22088 86027\n14510 17340\n514 90475\n67178 88769\n77576 82809\n11125 12111\n24719 76447\n32497 56525\n2403 30376\n80248 83811\n7101 37293\n43628 63981\n34240 84549\n12749 50202\n49841 73202\n18839 20786\n36537 37519\n3759 58946\n7866 38943\n52287 69502\n69430 71599\n51063 51447\n25480 40246\n52797 65067\n25088 30904\n22498 82329\n7031 89085\n87745 96145\n11278 27921\n39158 94399\n5849 22090\n26243 38877\n19076 86632\n42339 45564\n20046 23889\n17658 30501\n57361 66942\n2009 96633\n17512 68679\n24122 24724\n4626 81851\n46221 96097\n69029 71761\n6802 42203\n5521 54464\n5751 37791\n17028 33682\n72903 86059\n63282 64741\n1325 82291\n44241 57282\n9238 10916\n33324 87453\n10122 39847\n24833 91758\n10810 78138\n31120 75122\n5019 31653\n19668 62974\n14366 72697\n74821 97155\n44500 65562\n1786 87509\n57644 89381\n45460 76753\n9428 14207\n79183 83625\n5519 26364\n22429 40731\n4955 18763\n32015 85435\n10291 50797\n44877 76043\n13819 14824\n35112 88720\n70310 83237\n41355 80232\n64430 98896\n52396 69126\n51039 95448\n63414 73477\n23879 73579\n20447 55452\n30429 36086\n67932 95909\n85896 98714\n74440 85437\n2774 81672\n6562 51404\n52207 92001\n25282 50731\n11025 24481\n9381 92767\n35778 48881\n71084 76947\n63227 97286\n1816 80258\n29554 75954\n49278 66756\n16612 66270\n18689 25682\n69432 95331\n30423 77865\n24992 74977\n29563 96135\n50657 57627\n17626 52852\n4342 60412\n47369 52604\n67885 68770\n11670 91394\n38196 73234\n15643 75891\n25038 51371\n66210 98115\n7213 57651\n37635 65014\n14608 81788\n11446 18758\n17188 54187\n34566 75914\n45457 57202\n36046 93593\n53178 74641\n58884 73669\n9536 34777\n5341 25503\n17967 59129\n20681 43731\n7990 52174\n4448 25618\n69351 76972\n14289 55585\n21495 40056\n20739 28794\n21119 43626\n1578 48704\n16354 58045\n29250 69509\n20903 50737\n53277 64992\n42656 54585\n50329 90953\n41588 97062\n10888 15765\n26801 68515\n54885 81376\n32825 87195\n14975 61125\n88008 97844\n54872 82874\n44331 66274\n22935 99837\n70103 89587\n3207 51569\n54487 70825\n53185 55515\n22259 40181\n13122 89012\n10249 91473\n31974 52378\n7763 47829\n54060 58274\n32409 79961\n54330 59305\n320 83104\n25947 91845\n24510 48969\n9305 57225\n51628 55488\n21071 22372\n41682 65910\n12912 46729\n5625 35795\n21810 76886\n28607 59390\n16277 61486\n743 82519\n33695 34530\n24424 36911\n52066 64275\n48916 61074\n59568 81130\n11957 36929\n1575 47232\n32856 53681\n67269 89731\n22342 55583\n18734 65601\n9473 18381\n35619 82133\n3627 34337\n25469 28690\n18790 36871\n24019 75267\n35763 90824\n53379 68823\n5665 98631\n43112 59932\n25879 81361\n26946 49906\n40501 54761\n30662 78769\n58182 85285\n19157 79714\n33462 54536\n1364 59047\n4447 53560\n42713 89439\n47932 69698\n29606 94507\n5169 87130\n38026 59634\n18633 60035\n55409 92276\n61794 81697\n22048 25108\n22062 46139\n48122 68676\n57540 63128\n3572 39358\n22320 92982\n6860 78354\n70032 96731\n32721 72359\n51126 76261\n51867 91153\n1713 70905\n8757 49248\n14526 49357\n16910 19128\n14808 81018\n8125 76407\n64967 84302\n3253 52825\n851 87197\n49751 56137\n4549 89587\n39224 91132\n33208 37239\n66961 86846\n26775 43072\n25912 39425\n47226 58525\n75525 82913\n60477 89241\n46751 62373\n21816 46614\n18028 24802\n6906 89139\n10656 24690\n70637 93459\n24732 26404\n2590 75441\n86751 97545\n636 56899\n52576 69472\n26074 74881\n23100 98044\n43820 97854\n79039 81067\n20581 63187\n62250 65501\n1004 83187\n17634 87869\n61117 65875\n77209 88618\n30301 85966\n21475 51405\n71931 72653\n3252 16744\n67175 97619\n57521 59266\n20865 50402\n6778 32300\n15811 35305\n69827 79007\n18283 63454\n36743 89497\n15414 26068\n27767 75933\n18133 67948\n13390 66216\n32907 76073\n561 10850\n56109 83844\n90119 98526\n10358 74960\n49241 63359\n37505 81749\n27339 75299\n11958 64447\n18876 90069\n36002 44269\n15865 59595\n14767 23507\n31568 77388\n5022 36675\n13960 83845\n17205 19651\n39322 95121\n45640 64283\n83388 86979\n62114 84693\n32443 35960\n36617 39293\n3085 24386\n1036 18602\n48962 92226\n58089 88884\n8003 16612\n75562 91604\n1871 51966\n2477 93460\n12835 21807\n21506 68210\n13921 37726\n9413 24220\n6937 79858\n2137 63102\n7732 74880\n28422 85254\n21461 38887\n79040 83394\n32990 57809\n8804 34333\n33162 96882\n20012 35425\n34640 75154\n36230 36987\n24522 31151\n55122 82375\n66288 99500\n35193 43268\n8070 72974\n1115 55021\n51266 65977\n1425 40398\n38910 81485\n51773 83185\n58893 65162\n3767 42537\n12728 37183\n32953 91064\n15922 49241\n28387 29695\n7446 22757\n26184 95816\n84689 91244\n22777 98253\n12633 52887\n31180 57367\n32059 76555\n14980 52822\n52269 99022\n32932 63176\n11022 65220\n1596 65601\n8599 30109\n13223 35485\n66574 72915\n37639 61413\n5845 55815\n56726 97230\n33618 83659\n3689 12751\n61434 94102\n16082 85694\n38463 48434\n65139 96989\n14048 79668\n46742 75879\n52013 58147\n70896 79037\n22352 82418\n32131 67113\n25383 29046\n31366 81059\n3439 61915\n45811 63537\n40006 41621\n53308 82519\n27400 81512\n82089 84279\n45797 86804\n44149 50421\n40625 53839\n23050 51054\n65075 70542\n30931 96360\n31897 76826\n3137 26400\n46918 49832\n3564 49688\n12351 56791\n35025 71852\n37714 54939\n50683 52095\n29366 33061\n22266 23912\n88481 91457\n24863 93527\n51245 78000\n27060 76597\n56457 91559\n6708 48376\n16332 30650\n42848 75625\n2255 57470\n4605 64173\n17846 84291\n47257 62596\n10694 65080\n35834 38979\n3359 48298\n73705 90962\n18713 79026\n36121 74493\n9048 98761\n41444 82210\n26793 59996\n8882 55096\n20900 43575\n41934 57915\n39104 70721\n78142 89996\n72240 96709\n29957 64743\n4452 67586\n74855 75090\n26786 43095\n75147 93517\n17594 60550\n49610 68013\n32436 40244\n66898 75906\n30173 47081\n29318 46289\n6771 9129\n45117 97586\n41829 93578\n6073 82786\n6179 61310\n44814 65199\n1264 69421\n7846 11291\n16903 52974\n1688 78344\n6027 45342\n30661 86945\n23152 99945\n40528 56505\n27850 70549\n51822 63786\n14596 63187\n77534 98342\n71005 96983\n35396 74194\n6863 13933\n48623 74108\n14433 63540\n19668 56976\n65028 66333\n18930 51050\n3256 9842\n18748 50573\n5154 16841\n16105 31388\n59165 89665\n55145 60263\n71617 93667\n14696 21872\n62059 67861\n93425 95771\n64874 68154\n61006 89744\n52720 92326\n10845 57015\n13109 31564\n47949 81278\n81500 82051\n16197 36603\n40638 79800\n62762 90161\n3316 30580\n82059 95246\n29602 46587\n15209 24083\n71176 85122\n2483 89832\n36727 90217\n51290 77811\n47084 74726\n5144 68325\n4526 43375\n62593 72722\n31461 65627\n22354 35637\n55131 90284\n76465 87692\n28900 42628\n69439 95098\n44470 84502\n46460 56635\n10193 16369\n24386 97908\n12038 15472\n76560 76682\n45550 86927\n50984 57359\n7346 14425\n17304 20698\n28980 47487\n67733 88934\n20166 53196\n15835 17757\n21758 31080\n27135 71610\n44201 68141\n28728 92833\n2823 92329\n18401 41451\n39386 98785\n8218 30646\n1819 29574\n86257 94662\n57136 65427\n41787 81122\n20341 41921\n82906 99779\n59507 91495\n43261 73386\n1501 8054\n21441 23870\n7263 16942\n42928 51295\n19126 42082\n47957 65755\n45279 76658\n18838 28358\n38067 75462\n69819 71722\n58562 79953\n9022 74655\n35562 44024\n42406 58928\n31228 58109\n91532 94553\n22881 95074\n25365 50839\n13602 39771\n23416 44289\n71639 79083\n70986 73041\n31741 72311\n9072 77708\n49821 67982\n95189 99438\n59258 90319\n26772 45311\n41358 85051\n11746 28249\n81476 85126\n559 42926\n25088 53277\n7123 48960\n73327 93486\n67213 67580\n8617 17496\n10502 31004\n58088 75865\n29134 56065\n24020 82695\n22966 58964\n54472 75559\n90554 98128\n20700 87639\n37697 71297\n34983 85367\n40259 61384\n27511 37881\n11341 29191\n7531 92580\n58001 84234\n42331 87754\n23718 48253\n38769 60275\n46614 95126\n28338 70922\n25439 74277\n24323 54232\n55020 98199\n56267 64124\n8302 76024\n42125 73981\n12991 37352\n67228 74168\n50803 84352\n17111 33999\n5512 89950\n38906 45426\n45925 86879\n32837 41921\n10962 85342\n67524 90364\n15300 57630\n2467 13043\n87516 95784\n43177 76257\n19528 42913\n26658 84423\n29192 58348\n18134 27844\n14499 88664\n82334 86974\n48038 99645\n19426 27753\n14998 73045\n13090 18226\n4023 17111\n53087 55843\n26226 79588\n70772 86850\n74744 89263\n2595 53934\n19248 79961\n14176 94382\n8620 97396\n33797 86881\n9314 29699\n49479 60026\n11527 79827\n58308 76808\n56517 69109\n20657 43221\n45142 51041\n58428 59012\n30276 92653\n50404 84048\n21506 68603\n46680 49022\n21950 49695\n17867 84416\n23423 47792\n25769 41291\n13866 83142\n62943 73882\n34668 47627\n45213 45914\n52121 76849\n40124 66050\n50745 85137\n53080 56379\n81938 89202\n69217 94568\n41112 94967\n86487 88875\n17463 67095\n40563 61214\n11739 24986\n30006 98817\n21069 53651\n83499 97500\n1826 41015\n92687 93868\n28453 77507\n37638 56467\n18616 72300\n4189 5807\n1494 88450\n35067 96467\n57854 83600\n1136 91040\n50385 71616\n88169 89804\n22748 51224\n31084 60859\n32575 53248\n75402 83019\n15014 84326\n14904 68251\n23809 34102\n19115 98261\n53980 81404\n4536 89510\n35967 99109\n22216 98923\n22641 71187\n27424 38479\n33180 55549\n20362 67048\n3609 81489\n13185 50634\n12114 43856\n68357 87017\n17324 76442\n28664 46261\n66657 73037\n24475 98611\n39165 97373\n1625 68587\n92013 94775\n42315 84938\n4023 80889\n27428 94743\n27348 84689\n44987 84156\n2472 88629\n30316 53464\n4657 74783\n49925 77786\n26929 41121\n26153 47567\n5873 65375\n17849 46911\n6273 72951\n24320 92015\n66554 73144\n33919 66976\n3216 96047\n76505 77026\n22322 89734\n3221 3424\n81746 98592\n9513 95509\n2791 70330\n26197 52273\n53703 93472\n53260 99647\n50450 54037\n5840 26562\n16133 94051\n21089 54808\n44483 87150\n26003 88362\n15556 63622\n49479 86936\n2523 27680\n47991 55309\n21114 43097\n28235 98044\n44372 98221\n25475 45620\n54941 84475\n81987 93690\n25567 55791\n14238 79105\n4889 19769\n62008 96902\n1744 15564\n76649 86631\n78709 90073\n12919 57922\n17412 75129\n25257 97018\n49746 53512\n50738 74225\n6177 62556\n7619 32556\n12678 60381\n13422 91448\n40891 69726\n10770 36117\n8120 56749\n10864 96955\n60421 84373\n25453 85534\n5317 31182\n6910 98154\n2251 15109\n12506 63816\n41639 72444\n6041 37608\n49380 91279\n41980 77708\n27795 54788\n8248 72421\n2944 26823\n68814 86193\n84666 86536\n90914 95043\n33862 85631\n74054 79774\n16376 22197\n53801 80689\n1033 27624\n65814 98296\n7290 40147\n36952 46090\n45320 97453\n28299 87564\n3297 10629\n76664 82965\n35319 71651\n47395 53834\n45243 54498\n12631 79257\n61975 66097\n40207 71677\n6829 10213\n55165 77265\n11988 17358\n61066 63927\n53223 74794\n30701 73256\n38470 91501\n45659 80364\n6733 71241\n33413 90418\n33790 76858\n38449 62132\n45212 92199\n14283 67538\n52823 65847\n17511 33233\n40959 43286\n58790 73444\n12950 28574\n22515 57359\n27337 69739\n49262 93534\n56656 57447\n74485 92218\n20150 22475\n1037 73506\n81222 98110\n7375 58564\n6775 29192\n67103 89216\n16213 29523\n49058 53836\n24398 95325\n24170 89260\n640 70933\n29506 99020\n46909 60267\n7432 16524\n59417 73193\n71375 84104\n54937 97805\n26516 48277\n1020 44227\n23196 63173\n55079 92330\n14456 56958\n22781 58416\n52549 94642\n56289 72183\n83028 99042\n1644 30607\n14632 93833\n53366 84153\n40020 63130\n3264 7125\n6707 27784\n86223 97227\n12441 16009\n27480 34925\n20747 99165\n18991 25790\n35380 88927\n41123 59217\n8420 92739\n79034 92720\n40926 72884\n19211 62672\n27877 69373\n10263 46663\n14711 50098\n24905 85863\n625 28577\n8951 70404\n6903 99588\n9934 20948\n21624 36870\n26985 60241\n61850 77209\n931 2877\n44875 92526\n15896 49846\n8358 10909\n7878 72786\n5470 49419\n14424 20885\n32190 57612\n19899 40901\n16241 83315\n17428 45774\n62748 82676\n40824 75820\n64569 96200\n16659 32027\n49382 72635\n38125 53159\n22234 97460\n729 32420\n24473 96647\n2850 41786\n12751 84902\n32000 97783\n42297 45580\n3120 31033\n2474 42219\n39889 61391\n17635 82199\n47068 86955\n23435 55300\n44270 84356\n55232 78464\n35416 51866\n33525 85673\n23773 92690\n70647 84826\n32486 58470\n14609 45064\n50644 58463\n56362 69577\n69176 96757\n92477 94332\n48350 93563\n5019 73755\n8636 63260\n16500 62619\n26722 28205\n19355 72187\n80281 81118\n18273 77567\n63315 93298\n10 95705\n83699 94317\n2175 63169\n33842 90107\n21687 55344\n82045 91968\n30635 43037\n3813 30593\n56305 74334\n26088 47012\n7815 37347\n29396 84034\n30225 80163\n1006 90641\n51094 67937\n47823 94432\n17478 92344\n3710 12552\n8076 16904\n113 47313\n44493 72170\n59200 63935\n50117 96434\n40045 72923\n63806 99007\n20069 22347\n283 39637\n31033 54115\n52716 98971\n30171 71999\n26786 39168\n26658 67873\n18445 94752\n9201 89135\n7931 36494\n14480 63162\n43890 63074\n1809 65680\n20934 65931\n14350 91230\n1913 68747\n15004 38631\n73618 95500\n53767 56136\n73212 89724\n7362 73529\n44790 93913\n73059 80071\n61917 77677\n46892 59043\n20074 24753\n67959 80488\n3255 30492\n17721 32405\n23497 65554\n53734 65857\n36470 40660\n4183 98483\n45930 68621\n15346 92859\n89725 94785\n3159 42395\n38423 73371\n18894 64835\n43259 96226\n14503 94896\n59462 64253\n73699 99760\n14820 98921\n76361 95080\n3200 94578\n89897 97346\n80756 95874\n70773 99693\n24642 65891\n13436 91112\n31402 57005\n48488 90283\n36058 52079\n44069 81291\n39864 79861\n63675 78550\n11196 81065\n71708 91291\n23301 67120\n2905 57319\n21235 62870\n7435 20706\n69096 81344\n43953 73100\n22259 42386\n3879 98070\n40967 68534\n46837 95633\n3775 17541\n60954 83424\n37653 90930\n61006 84970\n44050 47268\n15627 56830\n26863 84726\n71875 94069\n16169 91841\n11041 78267\n95657 97267\n11565 77393\n59006 61094\n61474 82149\n14897 94260\n18708 57174\n16408 24801\n4712 23570\n14478 23943\n26483 89106\n11035 47979\n49184 69865\n39883 57853\n28312 51174\n8586 80819\n42820 80886\n88225 96327\n90623 93540\n27683 37426\n2150 28638\n26520 47070\n6648 28327\n15519 57515\n7436 46052\n10577 12907\n38100 79148\n18126 50415\n26791 71564\n2974 8852\n20318 22519\n18200 45763\n28764 86562\n43366 60927\n73903 96142\n36309 69136\n976 16341\n6576 14827\n42296 49463\n29654 60476\n18811 57865\n4160 68765\n26663 37672\n22305 65328\n8441 64353\n8344 16818\n6057 66132\n42733 78948\n52303 83355\n77775 91824\n53633 99684\n43823 74768\n9090 73170\n8016 97971\n21110 38095\n32784 59479\n23258 76267\n59593 68494\n45062 52776\n48932 62185\n58342 96738\n40800 76052\n5055 92837\n36072 61643\n33779 62485\n22529 76167\n58931 61792\n1891 71601\n33820 43094\n50604 58360\n5054 57524\n45353 99501\n18172 82148\n16254 22697\n29483 63880\n37829 70532\n45759 74120\n27224 62468\n39724 40609\n18883 66668\n47916 86936\n36455 58493\n74302 91886\n32309 95974\n2881 79173\n51052 92715\n28082 64839\n11884 62662\n26967 66119\n19314 33971\n36329 43022\n17436 44023\n16078 79562\n29853 92379\n19682 54583\n56715 66538\n50958 55972\n61298 69479\n49589 64726\n3708 93970\n2395 92250\n57504 99372\n1264 4857\n58496 76750\n73430 89764\n23948 56104\n41460 86725\n19615 52971\n7638 98155\n3275 23950\n22527 77539\n52363 77191\n12586 64063\n2102 11254\n15222 48991\n54440 98327\n28281 55258\n6917 64447\n98418 99114\n11627 62033\n35452 81360\n27192 68121\n31931 61342\n68189 82680\n31146 35982\n32983 93036\n28384 86809\n1947 38939\n39560 40659\n7824 34696\n61213 95732\n20135 74545\n21944 95820\n3898 11450\n15859 59159\n26688 98355\n40455 79887\n28300 29187\n19333 64224\n9406 97537\n32298 67164\n43465 82067\n11144 57391\n21717 22965\n43537 94730\n72581 90341\n426 51198\n68814 79419\n31615 72960\n21433 95891\n12806 87782\n5826 47168\n11278 36807\n27176 81017\n59411 77195\n43648 80604\n67704 70248\n18690 18932\n76549 80691\n2952 51522\n11377 94493\n56376 93710\n5848 32905\n71873 81057\n63486 74389\n48489 66288\n33437 75081\n72832 87447\n84331 91973\n29441 38237\n26228 66548\n19977 22463\n18768 75909\n25346 65379\n31190 62590\n18179 40578\n56192 91891\n10009 48948\n26471 28405\n33290 98058\n76397 86080\n55082 72824\n62664 97857\n31441 45222\n13135 76211\n9900 93363\n9866 13288\n47030 55681\n29919 97806\n70942 99870\n64912 80939\n4266 68809\n22741 58204\n20185 88349\n1766 59972\n37202 87561\n69345 73913\n4378 55609\n56243 76881\n79732 89837\n20014 34194\n61685 66158\n44258 52811\n2747 79046\n24704 85394\n34453 90999\n22952 50582\n54565 76963\n86049 95131\n31144 62029\n47482 87053\n45745 56733\n76099 91691\n43314 59053\n1395 96473\n12930 25354\n6307 50126\n30525 80637\n4640 52254\n54085 96461\n4984 45472\n80196 98642\n22095 87707\n46872 74395\n8818 10289\n3830 8714\n2179 33388\n55139 60354\n51506 60461\n50236 72132\n44891 62051\n39814 99827\n43221 68277\n18234 91111\n56705 73930\n48182 73802\n51839 75536\n25573 97464\n22171 50964\n26683 45961\n2981 15379\n27749 41152\n54113 99450\n35481 93023\n11463 97486\n60181 71379\n5362 99355\n29007 74436\n28114 31204\n71991 94837\n48497 86862\n36993 94133\n54539 79633\n39052 62697\n41434 66262\n61637 67079\n52860 71958\n35601 72723\n48847 70842\n60849 66041\n64332 65807\n73348 93591\n1089 69880\n10701 57651\n40508 71786\n12889 45970\n91202 95586\n24847 32061\n35290 56788\n8013 52471\n51609 66740\n12759 73346\n45970 99819\n16448 42498\n28068 68287\n14265 30166\n38469 92434\n2684 14313\n10553 13329\n2348 34879\n18704 30502\n37736 45656\n23204 99639\n20455 43021\n1350 72691\n47197 56707\n46639 96186\n5372 7730\n47496 77231\n25557 71491\n57753 71521\n14959 77458\n89360 99628\n94151 97594\n20743 24520\n53662 69753\n8212 69366\n18492 52629\n21231 56861\n32997 63504\n6148 26532\n5510 60434\n46939 76926\n6645 84164\n11511 33191\n48524 70518\n10869 67891\n68791 87554\n29103 96264\n28425 68709\n56482 86437\n55639 55735\n517 25433\n12557 44067\n1948 77121\n5037 90003\n9446 14677\n77856 88269\n17408 62487\n59746 92531\n59346 86706\n15863 31572\n7794 70865\n34673 53607\n2179 72936\n19062 46560\n5608 62123\n5545 72885\n9103 14419\n74 60061\n52871 64075\n3456 87552\n37751 75291\n33221 38327\n73288 91430\n17182 20594\n7405 42674\n7565 42882\n60730 76678\n58255 85699\n22679 56228\n11335 44936\n19805 25608\n64665 82285\n39499 69448\n72245 95129\n84730 89402\n59705 62430\n20833 53375\n12144 90908\n12763 90751\n75388 98907\n76992 81757\n27990 69130\n35569 71120\n53143 82232\n65068 82779\n39186 94046\n14669 84441\n10584 22108\n63381 87447\n4240 33942\n25956 92512\n5162 18556\n65057 69153\n9207 26689\n55089 65166\n27660 49800\n5671 10896\n76369 81757\n57941 68872\n7024 93499\n50161 64954\n6827 38988\n38949 58635\n6375 29888\n64630 67948\n14372 16865\n26965 84495\n11363 52152\n32 78926\n90813 99064\n32622 98716\n10854 55290\n21241 46103\n42296 77890\n3881 56789\n69986 79994\n38512 66250\n56492 92509\n13444 20743\n85316 88646\n23706 64619\n50771 70407\n55585 92587\n24096 83559\n83152 98099\n52100 59139\n23878 32407\n11081 70693\n22506 58968\n41579 74376\n9666 23350\n3857 28515\n72212 81542\n74830 96550\n343 80272\n4068 9841\n76413 87690\n2875 19812\n54029 93166\n26694 36121\n9959 57702\n5846 55924\n59739 84074\n34453 95852\n15129 71200\n29414 86906\n54033 99527\n75531 87847\n37919 63071\n26449 57440\n64118 77561\n8899 67794\n29024 37364\n40866 45028\n82590 95893\n37349 48400\n6449 36214\n15757 46337\n81662 83760\n9110 92359\n2687 68443\n1076 23543\n82359 94075\n30296 77644\n42947 92041\n27403 63481\n10840 37964\n36501 70060\n82811 88582\n51844 95972\n32606 35995\n74900 91626\n70702 89660\n36380 95715\n15602 83579\n7726 19773\n14256 56255\n5400 28183\n60958 62169\n11726 17935\n43504 95200\n37194 46403\n66777 90580\n14543 23812\n35477 86759\n64780 92765\n19784 56101\n1936 70078\n9849 20185\n85013 87366\n21796 55007\n37629 80753\n35437 72715\n64751 91735\n12223 69154\n48869 85972\n67611 73334\n48107 66530\n78 36041\n23805 69511\n3849 64695\n13062 51228\n26411 42028\n52584 55460\n14484 90039\n20158 29129\n38201 64647\n35614 95706\n1127 37481\n7069 66482\n83050 92321\n1966 84282\n50290 82020\n78279 96334\n45306 63562\n21922 84543\n12586 61694\n50756 62672\n19122 36964\n35367 94678\n39401 52218\n4307 74170\n62131 65638\n48457 50314\n4142 53690\n1473 95935\n27879 33147\n3566 57030\n81073 94118\n35438 54925\n58590 86314\n3395 43423\n1809 24712\n4410 12060\n16505 37258\n45709 61926\n65823 84683\n60600 72946\n8007 23733\n77111 83920\n12384 76761\n41862 81564\n79366 95523\n38742 79802\n12318 29374\n67668 95247\n64085 77848\n79817 92776\n71270 99549\n14748 78403\n32153 45726\n48683 64444\n70179 83907\n43330 57142\n43835 44946\n27792 58399\n2431 91529\n4482 83200\n19161 70199\n25516 99015\n46247 87916\n92419 94123\n12995 53839\n33324 92755\n14402 39171\n22505 80390\n3432 49299\n12688 21771\n75284 77394\n16523 83880\n16302 28137\n29571 43260\n26989 56450\n23726 53687\n80023 89748\n41046 70156\n74032 91959\n68707 98399\n64264 69649\n54774 94913\n7525 80397\n25195 30628\n7592 48636\n79319 99500\n59729 63424\n56260 73643\n7317 54978\n8982 67695\n7496 45504\n29915 40604\n13772 47647\n41386 67370\n58406 89763\n12182 79817\n70059 89497\n78569 89996\n85194 96541\n5538 73078\n10704 46538\n4213 36631\n4536 39095\n15365 83567\n10990 63927\n24416 79120\n15508 89400\n526 75510\n21710 82847\n7735 12172\n45400 63860\n32006 39001\n34902 48028\n22475 38112\n21788 99781\n17583 57100\n3896 65851\n34898 63443\n2208 14778\n44053 93469\n21770 77292\n14422 30292\n18321 95042\n18090 71453\n9069 44906\n28246 57154\n17638 21668\n45192 69034\n29482 98737\n422 52544\n16193 92672\n41662 49879\n62588 91879\n1621 80769\n53215 87517\n16061 79034\n1282 83683\n25985 28839\n17362 79436\n9584 67237\n93346 99008\n82752 92208\n25069 38337\n13118 18408\n82139 92982\n48711 52229\n23441 55067\n27343 74843\n74737 86175\n8329 46903\n1435 42781\n72772 85083\n43562 87364\n9548 16947\n15434 65702\n18777 45618\n18981 82858\n16551 35871\n6903 41741\n14663 73612\n11276 32827\n37417 55296\n14929 18903\n29484 83943\n58551 89292\n54780 93648\n11836 79107\n3193 67912\n39320 92703\n6719 70020\n85675 91164\n6910 15138\n68408 98122\n3950 48454\n15233 44312\n36181 43548\n39714 71097\n28794 47659\n16853 20712\n29961 97648\n30806 48994\n29733 65554\n9161 70484\n48221 85669\n16368 73432\n43344 79019\n49147 95751\n23500 46464\n4676 77146\n27829 36259\n34005 49850\n12796 98349\n49099 60805\n73242 84296\n7962 55822\n13014 94386\n61300 80835\n9203 81302\n54178 63758\n15674 82230\n222 13017\n23971 69183\n67443 77054\n27756 93131\n28444 46562\n16208 93021\n45690 65004\n29094 66635\n80889 99904\n97828 99255\n4166 19725\n58997 83032\n39787 71908\n12981 64230\n12677 22700\n35710 97852\n7792 60706\n22086 82085\n47792 97846\n29482 87709\n17042 57651\n88076 89407\n37468 79398\n39744 40554\n34192 61003\n24503 56382\n37185 92469\n55580 83650\n39466 94038\n62012 86021\n25353 85997\n12606 37514\n56298 56351\n9142 11545\n8887 32244\n18926 97426\n5006 40282\n31988 81073\n18685 93244\n24512 46657\n35560 87222\n73577 84187\n52591 67848\n20573 67802\n8264 84453\n54630 92315\n42627 89704\n11765 45698\n51917 74733\n29068 93746\n13501 64198\n31939 33007\n67695 69566\n94333 97667\n33084 61405\n16801 91306\n21250 98878\n80312 93114\n85588 86609\n54552 74653\n53407 63483\n43077 79589\n16147 35019\n14481 15633\n51057 60018\n10600 73418\n39592 59687\n35874 44550\n46363 48094\n53712 65472\n29206 44587\n55182 58178\n37617 87810\n22369 68776\n35225 77689\n23568 68045\n40824 60555\n72067 90762\n27072 64436\n9187 22405\n41781 92670\n74192 92974\n84513 98335\n9927 81742\n45045 85768\n45625 90808\n41793 73618\n18671 30055\n10077 82494\n29226 86252\n8324 46903\n16008 22089\n19335 60099\n4750 97194\n63120 75286\n13692 38816\n66403 75767\n53992 71888\n35482 55518\n34546 81919\n33792 84783\n31597 42119\n37755 48114\n10050 82822\n54865 68719\n7290 32156\n24507 99425\n16821 72986\n18892 67086\n6207 22192\n59189 80609\n60640 71530\n11130 23664\n5028 58658\n67922 83139\n3625 75434\n59390 79518\n39169 57603\n41180 62619\n33901 47060\n89279 96777\n11469 74158\n4829 99699\n40736 64922\n19024 65977\n72046 91216\n33435 84689\n35199 88404\n67751 68430\n8585 33730\n2464 43898\n30231 68255\n6806 89413\n34796 37939\n1794 83591\n47161 72732\n63748 76401\n44254 81489\n63781 78736\n49060 98509\n57057 95391\n62552 66433\n27194 36455\n91189 93314\n22173 43763\n39521 68875\n2122 40725\n39440 94900\n26018 67927\n34920 55541\n49790 50191\n11641 51683\n42501 90311\n86242 88517\n52627 74114\n5184 18790\n34859 79062\n58217 87210\n8941 22929\n5033 89397\n5599 16421\n11012 42691\n38819 52887\n11584 41696\n64047 74893\n67368 70140\n32696 42210\n7517 45436\n35780 65862\n39049 79037\n91952 99040\n62244 66013\n25959 93879\n62550 80618\n491 69671\n1535 4358\n21164 51600\n14233 42964\n5692 16138\n32079 86149\n74271 80064\n17469 30569\n1973 96737\n30791 47837\n82040 95898\n23441 44557\n90528 91635\n8743 86983\n68321 93967\n19244 81237\n33934 36631\n33308 70361\n25096 89027\n17690 59878\n11104 34242\n31829 44258\n30137 64864\n7644 51670\n3141 27967\n18064 40858\n42307 95724\n52743 64364\n85085 97718\n9258 45844\n29433 67941\n9374 59348\n14713 61554\n82278 94214\n33088 73051\n19517 44217\n30557 31525\n52690 63967\n89773 90335\n2025 67929\n29539 90574\n30403 43279\n50106 83645\n41679 79930\n43848 81189\n15990 83186\n42486 89393\n13112 32961\n13917 69771\n31964 68924\n15000 85492\n13699 53134\n65972 92446\n22768 94244\n53999 92022\n57972 88756\n6678 15946\n14706 39270\n10683 90911\n51968 79864\n35296 69748\n94519 96262\n13433 43826\n16719 74951\n25283 98003\n47495 99797\n54984 77893\n48352 74312\n2058 88126\n32721 65000\n50913 73131\n68432 94252\n1704 63612\n21551 55339\n42505 75852\n11607 57294\n10209 75008\n1849 21084\n32577 55397\n50705 72677\n57375 88479\n49862 69237\n33202 65456\n51133 93499\n76222 79511\n3899 16790\n10741 80414\n14172 38073\n38276 90866\n205 74181\n58740 82438\n1143 68149\n5013 13604\n63795 86247\n46267 88309\n36660 88934\n14743 96801\n4252 90902\n7393 34346\n43548 51541\n65421 76903\n22652 80214\n2299 43057\n3331 88334\n1284 42429\n52748 67628\n23004 50442\n38833 78461\n31618 55178\n34374 96867\n12917 56688\n32270 69591\n40970 84142\n30310 77160\n31156 55864\n56318 96917\n70027 88127\n29482 91720\n11261 63006\n8457 27864\n22421 91367\n47698 86772\n12620 14276\n33824 75574\n67479 93020\n77361 95080\n83102 91839\n69594 74752\n32041 46209\n21481 69689\n40381 94367\n31036 84920\n19469 30306\n79888 86732\n50776 73873\n17697 33480\n70628 94879\n2794 53447\n74440 94684\n86513 91557\n31984 65279\n11721 97357\n11152 53764\n8578 64718\n1037 92529\n39560 47887\n37629 38497\n14408 56239\n14260 64843\n59851 88597\n13943 84860\n25803 90514\n45593 62887\n48008 48852\n53646 92134\n7340 58481\n11337 74972\n5812 27209\n43875 93109\n44835 48826\n26007 40450\n30401 83572\n7399 41903\n49145 87136\n12858 62890\n37712 82964\n15882 62483\n62054 76240\n11813 62823\n5695 80755\n63238 75540\n21367 26338\n30757 49019\n40435 51452\n70121 99834\n30699 75735\n92940 95058\n9843 79375\n5199 85730\n50005 51790\n71739 97728\n20139 72028\n79603 80616\n51752 88607\n33927 43569\n5675 27983\n41260 56297\n69784 70827\n34705 73807\n11816 69294\n52862 73816\n9295 23151\n33391 91829\n20799 35193\n20331 82307\n10633 77649\n45499 48634\n14192 66183\n585 81166\n49244 98449\n9344 73450\n8451 86732\n661 65053\n1778 52191\n68716 68765\n47306 64428\n11063 27763\n44254 94935\n34112 48334\n980 5256\n32703 51239\n66036 80430\n19715 38801\n18726 57140\n3812 26051\n81417 97119\n5029 5942\n11474 54990\n51333 69482\n44476 73429\n67005 79347\n76378 98833\n41188 93460\n83285 90283\n4449 66903\n70150 95168\n89103 99566\n7901 11758\n43773 61948\n6384 94938\n2014 26649\n14380 95048\n53356 84187\n8385 77371\n61232 69909\n35326 68245\n66071 81353\n20313 87093\n18126 55196\n19371 21657\n42382 48516\n25021 97819\n68491 74704\n34774 35237\n35721 86196\n23277 96989\n74531 93863\n88533 94579\n8209 51238\n73621 88485\n23233 82567\n54987 88470\n33698 61892\n737 37947\n634 88007\n4578 38532\n46865 83840\n79456 84314\n48 97882\n13463 36006\n48670 70754\n25400 79774\n18471 43357\n35183 62085\n12813 23477\n777 99472\n36625 71823\n40487 42248\n53093 70585\n87046 88852\n22612 52832\n33655 87020\n16162 43020\n4598 22414\n34789 41050\n36408 65525\n37703 71199\n74635 99423\n63383 75553\n58237 67530\n82942 89407\n12129 37389\n25691 99414\n69128 75951\n49248 72481\n42024 74643\n11362 35278\n74166 82150\n10355 15664\n25702 82946\n15639 93056\n42396 55150\n53572 56312\n21196 88432\n22962 34925\n26337 55470\n15525 50860\n36803 49717\n38522 71892\n6785 79252\n9435 34587\n44444 59459\n53749 93535\n14203 58237\n44815 54540\n11808 56700\n20110 22864\n8037 76244\n79156 92668\n95 64551\n8819 86466\n59568 87802\n7720 12632\n31778 35181\n33571 47674\n11105 59735\n39579 98241\n7890 74959\n20142 36656\n1429 54601\n47885 58252\n21159 90763\n48064 58941\n2313 81282\n54400 97053\n18274 24098\n12783 75730\n63154 69845\n61536 64534\n22418 50781\n23268 89327\n58727 99890\n9112 93635\n44448 67567\n80512 81335\n59269 71687\n12575 77502\n43693 45761\n29771 89189\n85672 92855\n42027 54440\n80672 80782\n49055 75801\n19386 64637\n29590 43985\n42316 44390\n25440 84489\n26105 59983\n33019 76703\n359 51917\n6908 37360\n49352 60621\n92722 98221\n33101 82104\n29709 92973\n19709 51260\n45096 55211\n38225 39034\n78289 88035\n45086 46034\n17602 49119\n1421 81537\n56403 95049\n25013 96809\n27546 87603\n46984 74329\n24881 27387\n42437 61941\n773 70454\n55251 65756\n6544 77703\n6879 26150\n11225 61220\n13703 61338\n18909 77746\n25971 71371\n40172 64655\n26487 85292\n41116 60978\n5022 78366\n4867 19109\n28306 45976\n5437 64064\n32418 76582\n45638 75280\n38931 76917\n25257 48903\n68911 85387\n17605 84562\n29644 73379\n40524 44130\n6876 30744\n32750 98236\n35248 55150\n60332 67422\n21650 47849\n70179 84366\n690 56114\n57858 98752\n4031 59742\n17889 66936\n59201 90898\n45468 75592\n80381 91132\n14296 90928\n22972 73107\n375 44303\n17681 29127\n63908 86672\n72165 85394\n6672 57503\n75174 93703\n17074 65560\n10246 32377\n74652 78812\n26968 36397\n43623 48809\n5457 83524\n4144 6602\n60120 82196\n18303 86121\n6257 91597\n19894 22671\n26939 87497\n30357 59560\n29058 80411\n71048 81384\n16777 72803\n30941 63343\n4631 58807\n7102 88432\n40390 47969\n34186 98956\n76815 99530\n38582 92611\n62438 70794\n47136 80474\n36529 42666\n67786 73719\n38299 49660\n28272 93651\n82412 88425\n69530 87877\n28464 32296\n16880 41184\n4102 83282\n55519 86455\n2691 8795\n28464 62167\n13509 48227\n7215 95605\n3320 87416\n10600 50437\n7037 28475\n19781 32395\n8475 65984\n26850 39296\n58691 70849\n41105 60443\n21923 56443\n30482 32638\n17084 29006\n3518 10245\n20636 49317\n42514 80966\n43316 67540\n54332 79398\n17907 48502\n32596 97372\n6201 97769\n25848 63407\n18675 63757\n51736 91895\n61337 87677\n21602 99783\n27104 73076\n22815 48860\n7905 55384\n40435 49582\n23810 44890\n13566 53170\n37615 59439\n22288 74710\n13839 81568\n48129 55293\n59810 92329\n4902 10943\n2324 47815\n46597 97040\n3356 64840\n8195 73286\n24361 34573\n17187 97863\n28082 98929\n11111 77769\n21181 92911\n78933 90605\n23780 78643\n29701 54009\n38425 72585\n10207 35753\n79295 93445\n38387 76403\n28337 36123\n13771 70744\n49821 86211\n9724 32124\n47132 69254\n8237 42290\n29710 45510\n9448 14168\n77247 78466\n38822 91973\n59363 96259\n24446 97406\n3190 10233\n41946 61699\n53541 96191\n31577 46631\n5148 27254\n34614 90145\n72786 78683\n619 92733\n57792 90229\n26754 97448\n7320 42869\n95131 95226\n52772 68196\n72958 85011\n35496 64131\n12933 60302\n40530 50827\n6979 84072\n49494 50389\n56805 90076\n29935 82539\n8916 66816\n27460 35267\n12072 59626\n21207 44308\n24714 57049\n17009 53267\n53920 78896\n66658 98377\n33104 76308\n12915 36627\n24902 83158\n58088 59116\n33944 91289\n29353 58843\n71540 92590\n16975 33005\n8094 30519\n42781 52999\n216 96516\n67885 82622\n13251 61627\n141 51013\n15347 41325\n13370 60901\n7835 92632\n153 83755\n32295 65018\n67823 98422\n65758 86258\n15230 69845\n3300 74686\n9228 19639\n35904 49463\n78424 97100\n58 36544\n66983 85009\n11828 37866\n11719 90104\n59705 99273\n3225 48901\n34611 93186\n7483 54998\n31916 99793\n21811 96391\n10599 67141\n5966 88429\n51816 55195\n45751 85491\n277 72052\n18981 82262\n27188 69577\n30532 94231\n15593 29645\n2216 68670\n94178 95161\n55319 97280\n6288 41410\n49139 70909\n30970 61127\n30688 83666\n9508 86722\n3442 8776\n8764 80786\n36301 78093\n44299 98792\n53649 93404\n25184 74001\n71453 92259\n34460 85664\n30361 54773\n4328 18524\n29077 59531\n12952 22574\n44487 61478\n46770 70708\n7298 20852\n67024 74982\n27448 82569\n5107 56529\n8808 25146\n3228 89508\n19743 52850\n36364 76423\n661 93680\n45330 88609\n15783 91018\n2423 64043\n27287 38983\n51219 92676\n10954 51035\n75901 86146\n13593 44036\n2992 15703\n44567 52272\n28086 63885\n76094 98707\n4386 37949\n14620 75987\n49588 56756\n13916 86044\n17556 72059\n5920 93530\n44184 55460\n4325 96587\n64354 84145\n64532 70610\n11670 74950\n45639 56880\n12362 58446\n68226 73552\n71689 96038\n61313 91027\n11673 77615\n25861 87816\n17685 27544\n10198 33273\n10371 35057\n1295 74165\n2850 34887\n24361 88452\n63618 94875\n14354 72475\n50848 71003\n9346 45258\n75355 96906\n16654 32670\n77757 99831\n75989 86944\n8583 62564\n14970 97907\n13160 71698\n8205 52807\n37889 77727\n43346 51646\n38623 81511\n21730 71551\n12551 69730\n6833 62631\n230 92753\n17051 33589\n22658 85280\n10859 83925\n63680 70391\n31470 87864\n53925 64503\n3132 6618\n51771 61140\n2371 29624\n25448 69314\n33131 58106\n12618 42735\n37165 86554\n34568 86314\n59461 89944\n3213 60550\n11753 75700\n592 73630\n6924 44864\n62765 84251\n5852 17288\n18156 69223\n15638 36945\n33578 80722\n9812 27568\n22152 31303\n72586 93349\n64766 88169\n6039 47668\n32707 34187\n20616 33233\n35537 82944\n73339 84505\n14895 49672\n29235 59423\n20432 63766\n23026 84328\n85211 98448\n9363 34288\n21126 29647\n20096 41414\n49300 92243\n13418 36999\n29998 40245\n44527 56192\n10291 84203\n74783 95080\n55370 80547\n17388 21699\n60029 69220\n73812 98523\n3520 82850\n73657 83995\n634 73584\n32445 37988\n59488 97860\n33071 61068\n17659 21450\n8454 11169\n4854 80333\n18308 59212\n11541 84000\n15870 36320\n5178 37928\n39191 45266\n54929 99084\n47104 86824\n74701 88649\n84190 99802\n10195 79081\n23049 82705\n67665 74713\n13607 39810\n40996 58662\n16849 34756\n54256 93852\n1167 38055\n47508 62334\n50196 58255\n360 14338\n27671 32694\n91759 94553\n20710 90146\n28491 90893\n62989 69759\n88478 94227\n19690 57433\n66931 90445\n30876 46764\n2256 33098\n18398 55008\n43023 89890\n2205 67349\n39960 46007\n16012 30135\n14584 66826\n48329 61085\n47390 53146\n4063 5667\n1998 3453\n42840 72800\n15913 50390\n29484 69422\n26990 59204\n34088 50536\n39336 73985\n40443 61423\n42109 93188\n44830 83976\n74104 96484\n28781 34808\n25578 36711\n10742 47420\n8887 69146\n39139 87553\n23933 23947\n51674 71281\n1685 70849\n1898 89083\n6073 70911\n67017 78327\n64711 71848\n28508 87018\n70770 92972\n79315 80923\n6125 21322\n5540 40183\n76656 82724\n52016 80653\n46351 98499\n11065 22461\n5184 26618\n1435 89242\n2451 40658\n25762 59558\n20065 96947\n28041 96139\n66797 98743\n36059 72267\n19746 43799\n4985 58313\n10006 61634\n49949 93547\n51916 90955\n71651 83481\n13526 66533\n7068 96828\n37689 70360\n8458 80368\n66791 92201\n7516 96071\n5323 46993\n35379 96491\n18769 50074\n66886 82073\n23482 63960\n30504 94578\n53818 85374\n34076 86187\n36349 42032\n11218 63388\n9284 60123\n19059 38413\n15452 29779\n56720 86900\n61682 81106\n15490 31393\n30053 79721\n44213 60921\n58687 66661\n40382 52850\n31029 82412\n20743 64022\n49748 89068\n19060 29033\n35964 50040\n6635 30130\n18587 73987\n34824 73269\n7232 63925\n5729 48817\n12944 80231\n91516 91897\n72954 74043\n51088 78622\n22146 51126\n46361 77302\n3380 75466\n82209 89599\n15854 29968\n7601 19385\n43964 65905\n52399 93397\n79947 89552\n2952 13434\n39383 83960\n2023 47560\n41911 98456\n58634 74163\n8125 70710\n28631 80856\n2255 49947\n31316 76330\n18188 88236\n14921 92372\n21187 94203\n15603 57181\n12016 90221\n33178 81919\n42594 80112\n44698 99422\n31342 60264\n8235 67908\n3484 39918\n66757 85057\n54275 88791\n78407 95653\n11095 56799\n17294 79372\n2567 94697\n2343 90374\n73907 98117\n26940 34600\n26495 51943\n32730 79167\n20706 71503\n58818 88895\n4364 54251\n62363 69510\n5180 88830\n5343 82016\n50688 79557\n61144 65002\n64774 94744\n52151 97800\n25008 63541\n275 12988\n58444 84914\n53974 75011\n44039 66303\n45676 89253\n23544 86665\n4622 35669\n33551 49515\n76440 89111\n83240 84985\n32965 75385\n90029 97724\n36664 95367\n11112 39395\n80756 93929\n13321 76815\n26798 80702\n20919 42659\n22524 97606\n13506 67510\n38896 39662\n56104 77974\n12596 57294\n8760 76347\n61550 95715\n93205 95237\n9806 61941\n40091 62784\n27820 53510\n29740 93953\n30589 64538\n71201 78596\n9758 59815\n2064 9358\n12978 29734\n31565 84542\n2762 55359\n46556 70084\n1324 59053\n94111 95257\n81553 88072\n13574 29304\n18777 66660\n2727 12177\n26792 49520\n29559 94752\n14470 89077\n7425 96756\n3892 61362\n18008 47875\n7933 91654\n4822 64576\n7912 38176\n36384 73176\n30887 98702\n70849 86591\n60896 79565\n35550 63731\n11982 28373\n5728 56914\n21408 41891\n27159 31696\n8273 53389\n63545 93788\n49598 54038\n29778 69482\n31447 57507\n42195 78363\n14340 54073\n6567 20589\n18331 83521\n5263 66823\n5422 61750\n436 35961\n35410 85304\n24257 69250\n70366 73076\n82859 89995\n88178 97229\n14426 57370\n41561 85224\n48324 68366\n567 29974\n27286 52785\n9270 24024\n61121 71391\n23813 71806\n17398 49181\n35372 70925\n3875 15146\n23719 66716\n25504 72143\n30224 95985\n23359 63394\n63123 91534\n12544 72539\n42391 75655\n52468 62347\n46696 97575\n19687 76899\n21396 53249\n1049 74885\n17033 50229\n13173 62999\n85872 91441\n42930 72615\n76990 89880\n68034 75733\n27594 40383\n40228 41121\n18877 33392\n47796 97097\n10478 31492\n13534 41651\n24593 29392\n38287 42812\n12993 61883\n10014 47073\n87435 98847\n79188 98910\n13649 40783\n9861 51339\n1857 57155\n23342 85995\n23697 30034\n28525 46004\n18000 72316\n43711 72140\n6440 83118\n4688 17946\n34803 45742\n46689 92169\n38400 89731\n6505 85674\n7012 84297\n15798 74315\n15117 72001\n68868 75102\n60337 70954\n61362 89103\n27307 53683\n41892 62611\n79534 96279\n11706 54867\n4983 34812\n70705 83361\n1740 33357\n24926 39521\n34336 46484\n8845 86376\n54954 97939\n50088 93243\n19895 97605\n50227 66521\n13057 30380\n72290 79175\n7910 60426\n25536 49938\n37723 94898\n13146 81465\n16404 93216\n343 11734\n4570 8216\n870 80395\n51735 85416\n12770 34717\n32076 82504\n16054 22095\n13737 20401\n31628 82574\n56020 73375\n53713 68814\n50724 69897\n63483 83782\n4019 56719\n80546 96467\n28883 32507\n6933 13324\n66202 67823\n50064 68679\n10525 74632\n19162 47264\n23519 64796\n4719 76949\n74858 81376\n36718 82105\n47046 66558\n9341 81152\n13451 29169\n72845 98014\n75544 97804\n39478 54761\n10496 36231\n6095 32008\n6879 90351\n54447 86626\n28683 32773\n53391 79709\n12186 44444\n154 30144\n84283 88746\n54947 80351\n19741 97619\n40414 46120\n64992 83921\n74277 87349\n30040 30938\n7232 85054\n17311 93679\n1255 3588\n44013 96983\n53579 91841\n72134 94342\n4141 54534\n66315 71073\n22073 24807\n44474 95947\n7537 61486\n75451 80237\n38533 42383\n787 56125\n25009 85373\n17627 18539\n22208 98725\n57449 88975\n32301 84938\n90232 99475\n57727 80362\n35227 44988\n22278 70612\n71017 81196\n6636 39193\n52324 65110\n51300 73227\n15338 19983\n23012 64728\n13937 75990\n29977 32424\n25027 75586\n53070 58160\n49314 74748\n51424 67147\n76208 80289\n16101 89612\n50025 64207\n5763 36935\n36221 79323\n29994 91408\n17183 36573\n8923 74927\n25790 48520\n5248 31188\n47454 79894\n46720 91168\n13316 87251\n4333 84179\n6173 14517\n48171 81503\n51881 69092\n73003 78672\n46297 60946\n50245 93764\n19208 71134\n36836 85158\n78805 82860\n47851 65989\n65040 82706\n76360 83419\n8249 60695\n43418 54520\n12639 67264\n19248 80426\n59919 85820\n52875 81395\n77649 91913\n14167 73781\n30753 37367\n26914 71159\n46681 66771\n68112 88845\n2721 91162\n34640 49470\n8813 53393\n71304 72708\n58578 89622\n35716 59037\n31932 72076\n43573 64533\n58706 62067\n35036 45313\n72104 75931\n62137 80560\n27034 95846\n79237 98445\n21125 34363\n26275 83655\n13446 42118\n28560 51663\n67923 82984\n42930 51154\n18511 92059\n5481 96083\n37225 89473\n31369 81075\n26998 81194\n23139 77971\n26922 48072\n57509 78265\n24587 61175\n56454 93607\n14981 34410\n12407 17495\n558 67259\n25990 84266\n37816 74334\n63223 65872\n69419 95698\n54993 86512\n70821 89532\n70214 96062\n16755 34749\n30811 83664\n29369 55367\n71990 80305\n6540 66286\n1836 60652\n29267 87445\n46654 64555\n62646 72125\n30081 57817\n1852 13277\n30028 56848\n11651 43962\n61993 90846\n36545 76558\n3682 85236\n8856 58673\n46630 52594\n39515 71746\n22813 33603\n9469 78361\n35741 44612\n5033 16940\n974 86991\n14241 41712\n17287 54574\n28273 73389\n37748 76169\n29611 64061\n9074 21123\n57260 93289\n55183 76972\n17641 61506\n22689 61422\n55390 87712\n31232 93303\n26510 42528\n62827 99745\n50320 96741\n4202 85529\n1511 23824\n27891 39111\n55349 88506\n23769 64537\n78754 80560\n22613 34587\n5551 61018\n5859 41526\n26478 92783\n36194 56864\n51347 56225\n83749 91243\n37058 51687\n40576 89978\n64059 92521\n32884 43834\n2874 77306\n22623 27623\n52252 68106\n77595 78963\n55179 81214\n32052 66686\n43074 82119\n28650 76262\n15856 58518\n74312 87489\n31680 71498\n31724 80071\n34957 44956\n21428 69585\n40804 86368\n38560 80385\n69692 91693\n32495 78243\n55067 92140\n61289 74199\n49273 95329\n37995 99593\n51222 65999\n59 2312\n44754 97029\n57703 64963\n10992 46592\n14741 28934\n37313 79130\n29321 58870\n22547 82712\n52701 79390\n5302 36465\n25546 75301\n14566 66670\n37318 46913\n37299 71297\n26031 65220\n90568 92757\n2024 62073\n31562 76843\n60932 70608\n17658 43403\n28683 75494\n51951 52740\n68668 96204\n27841 63654\n7776 34353\n9653 40581\n28244 91158\n10294 83276\n49136 74228\n9860 36226\n62890 96892\n12720 95432\n37425 76502\n60376 94959\n47848 62114\n35624 57417\n43125 70584\n3985 26172\n24119 59766\n2637 83923\n7155 55305\n20957 42539\n53497 75367\n61565 93942\n54774 76687\n28546 41956\n30196 62235\n82308 97523\n39333 52196\n15160 34007\n81547 95950\n41085 51373\n12602 18378\n49819 88754\n1232 68929\n67133 71823\n21141 82985\n10312 19008\n53531 79302\n9413 16431\n37136 96951\n85748 94263\n51631 68600\n10844 66352\n34532 85401\n18788 35197\n60371 90076\n32027 97025\n79644 86932\n26072 58196\n33811 91402\n70638 83794\n52106 64193\n65034 90838\n5636 14012\n8291 30822\n20348 98042\n64263 72885\n13823 40917\n24091 82423\n46303 88955\n13330 76140\n45192 47744\n10588 39447\n10650 32402\n13076 41078\n21640 68414\n1277 87862\n13845 34091\n51595 58056\n47897 83169\n14271 86173\n2872 7827\n29238 81259\n67236 84825\n82837 97737\n628 77206\n87666 92172\n54278 68277\n32417 90282\n32579 83793\n12118 85964\n10079 84137\n25930 35206\n15084 83489\n4819 81616\n58550 71376\n17912 57059\n24968 96996\n21551 88575\n12512 26333\n73217 99185\n36653 61414\n33962 44200\n67814 86607\n56860 63775\n20631 47662\n32627 67994\n33761 68221\n70898 85710\n82743 90678\n18120 88761\n16747 96911\n52160 94885\n24016 44764\n8479 92621\n51434 79939\n6233 49773\n7200 29145\n46036 47659\n74384 84020\n4065 7921\n15256 24844\n40685 75200\n25633 91866\n33788 54535\n56555 57419\n59504 80617\n26283 73394\n87501 97808\n39154 67906\n77503 93843\n56139 71865\n87891 97455\n19535 36506\n15791 17957\n45495 54309\n8060 31621\n9157 84199\n31168 48844\n88791 90886\n34734 70074\n14577 33548\n28895 82025\n5123 84921\n30889 34304\n34248 44960\n23665 92698\n34755 71217\n6625 85704\n72062 85872\n13052 80570\n46389 73426\n10174 59606\n46898 91536\n4745 91554\n38244 83069\n25411 27216\n22409 82009\n9858 77616\n32750 48710\n17326 69852\n58439 67948\n15720 35560\n40344 54250\n41925 95406\n7930 87590\n9024 42983\n1519 51496\n42758 85292\n28236 34279\n4171 92374\n35348 57288\n61300 95213\n1328 84985\n29861 79413\n76205 83799\n32288 76064\n13513 76493\n12024 64101\n35929 71011\n47435 73940\n54809 77791\n28637 45577\n2442 43058\n20410 45210\n16791 70522\n59777 70805\n29293 53878\n19022 38929\n22020 57519\n17418 79910\n54040 79685\n10042 78613\n29851 36963\n20633 84278\n93010 93610\n1775 7004\n52545 63690\n41830 68267\n19362 80762\n46190 61754\n17707 27766\n25368 51649\n33562 70958\n37101 96047\n35131 38634\n20019 99752\n15605 90069\n23138 30506\n66202 82808\n17524 64640\n65425 77702\n16396 69997\n14387 81824\n12637 42611\n2020 89162\n7774 43598\n2373 4176\n11903 64956\n36993 55194\n3595 28942\n18011 42226\n18602 46714\n17720 48776\n42088 98690\n28128 92656\n82979 83936\n7092 64922\n1133 72063\n24226 33227\n12718 73764\n40836 72781\n8799 71033\n56040 58492\n29676 62987\n6384 31419\n5692 12957\n41356 74340\n91923 95788\n20117 50428\n19326 77330\n3179 28769\n60149 75737\n12611 95644\n63299 81545\n18051 95354\n34533 89160\n66105 70389\n39062 50489\n20537 69702\n13736 78750\n21174 81689\n27265 39798\n58750 96785\n50571 67977\n40935 78860\n2441 31502\n13986 72705\n45649 54371\n15410 50314\n33672 87240\n15727 48197\n24525 34505\n8929 11067\n32099 80647\n36100 37091\n1593 15991\n66485 66907\n13 89345\n3703 41377\n3827 34073\n31826 91410\n38989 72606\n22555 24360\n4083 27146\n37987 84297\n6818 85948\n78819 79074\n53695 94959\n41791 82387\n42201 85435\n74729 77234\n51305 77940\n28102 96543\n54686 58295\n47293 61772\n37297 48423\n91197 95522\n44610 79043\n11335 42046\n33523 85166\n1996 50697\n14814 67874\n10375 31841\n22487 31614\n14819 18065\n8633 32167\n50571 77111\n33440 39503\n39873 39900\n6917 31663\n11614 12794\n13117 51783\n7515 66183\n31116 67374\n47199 70665\n19132 39761\n10764 83155\n45828 75792\n46322 85299\n10928 63408\n2541 98961\n20611 68725\n8828 55269\n72495 76596\n62250 78656\n13319 64258\n31202 89201\n49500 95629\n42424 97792\n4422 66298\n6331 64692\n82433 87873\n51231 83502\n18708 69667\n67751 81688\n62166 87507\n24574 75625\n64753 67628\n46085 99534\n34104 41983\n52458 92033\n25086 76935\n84151 92427\n7317 36142\n61249 88010\n65973 91633\n30562 66624\n62734 79982\n19430 94209\n13131 51736\n11042 47684\n40064 85364\n33292 89430\n63426 87297\n28217 87323\n37612 57475\n34141 91753\n2018 66456\n75116 87632\n34961 85367\n11772 78056\n10548 18713\n19610 96864\n29369 48800\n14489 63173\n69737 78341\n25362 94307\n65577 95659\n3623 30808\n26888 51699\n7776 63101\n9338 41142\n22335 51911\n64540 71973\n26559 29568\n14926 31746\n7535 27502\n35130 37411\n75446 83087\n52325 59467\n33634 82552\n20223 80507\n37557 49353\n34540 70537\n27066 81298\n2785 86003\n5929 11726\n26647 45732\n46204 72413\n5865 33834\n28725 58385\n20919 31383\n42322 42716\n75011 94630\n27141 86033\n3587 87006\n15589 98889\n31982 55717\n52151 76626\n35051 87197\n6544 20938\n55189 79489\n63422 85759\n85756 93145\n12359 59174\n28513 49384\n18431 88355\n57063 83436\n8224 52514\n49970 76578\n18777 45899\n14445 47115\n5683 98991\n50651 88435\n19875 75197\n40930 62343\n51169 69638\n15240 28470\n50853 54601\n42702 75233\n7237 34626\n14775 96784\n999 10734\n3928 62428\n24241 30713\n62380 93642\n31672 50463\n46779 74847\n44097 70989\n7321 15419\n17159 46722\n45279 64273\n68785 92521\n28662 90843\n36011 45820\n1716 8348\n41076 64237\n9272 76255\n10224 70545\n61564 77285\n74273 78045\n4401 72931\n10619 75325\n9464 33954\n63297 95514\n2707 52360\n36209 46950\n1564 81615\n6525 93506\n31019 90163\n18849 26499\n70958 96744\n3286 34697\n6505 60022\n62483 86242\n91107 92497\n3189 83202\n12720 66096\n17103 35607\n44575 93389\n43769 79359\n8916 91516\n22418 57737\n26 95915\n5494 67844\n51129 60116\n1537 36601\n12661 29915\n9416 99471\n35862 63073\n51296 84602\n6429 25120\n44026 49774\n2243 50943\n84092 99191\n74425 98615\n2334 46130\n54106 79888\n49442 67781\n85783 87447\n49575 55613\n13641 24721\n25494 54973\n46347 51742\n30823 43007\n5215 39666\n37752 86060\n239 30294\n68309 69845\n21671 82732\n30225 98358\n18422 88402\n26326 77479\n15829 30458\n71822 82148\n5487 79780\n70219 77300\n15031 24601\n1990 75623\n1414 48852\n18268 34283\n53270 91019\n24206 67298\n15441 43858\n38197 81690\n12413 93986\n13041 38540\n38428 40849\n58992 78313\n24368 94018\n973 80787\n2286 22119\n19925 58560\n39564 62793\n14941 79371\n50428 62888\n28866 78331\n39532 52391\n36151 95499\n45949 71949\n5767 59339\n9384 97020\n48865 99202\n37754 76773\n27249 37814\n24622 87282\n14848 31460\n11698 44218\n2051 59831\n28459 83366\n41226 41494\n8785 81978\n42451 49552\n8084 38883\n17959 48651\n61885 71413\n75137 86812\n1321 81724\n4357 65671\n89539 91873\n13021 32570\n25163 34073\n17954 37150\n64726 90369\n26211 98899\n55179 94845\n49768 75680\n1278 77206\n48591 77126\n42175 74140\n28550 47213\n95579 96530\n23632 34680\n2545 34352\n17867 73645\n5511 34302\n80060 94714\n30929 99953\n36838 86118\n18020 65033\n61417 79435\n71461 80316\n72739 76579\n28388 69833\n11045 16388\n33018 56606\n80517 93447\n40202 72479\n18520 44829\n22861 33950\n66169 89284\n29733 88250\n7908 87394\n33701 34820\n24492 50155\n21518 42790\n50917 74597\n59076 80650\n23548 35608\n15472 53359\n47381 97233\n29626 78043\n21911 98444\n10403 90541\n12368 21666\n6877 31893\n9586 28122\n65872 82464\n2644 33639\n10951 79900\n83224 90336\n44253 97855\n7295 9405\n83063 93021\n43295 49098\n8175 46551\n41594 46431\n66662 77347\n45446 99552\n2949 45700\n62936 68787\n35733 52858\n61507 99326\n85449 87330\n19547 89177\n46556 91027\n2687 80175\n75130 86461\n17085 74485\n35154 65811\n40623 57430\n11035 59819\n393 1651\n3610 30035\n45861 59683\n49118 89905\n7986 65903\n45466 74651\n49540 82522\n33567 97718\n28156 90581\n6520 50479\n67324 83214\n49497 84483\n19715 80764\n36468 56136\n17912 37276\n56355 61990\n35073 61471\n7862 12956\n5610 21135\n27026 46299\n23375 27916\n9832 22858\n31611 44308\n21788 30105\n39324 74439\n61683 80948\n77109 91198\n1585 85003\n68485 96104\n17823 19873\n23269 52295\n88954 96323\n28707 44604\n38755 73244\n55509 68934\n47569 68296\n77115 78661\n43299 78552\n3057 15291\n72217 75964\n15371 92009\n59889 62564\n78140 90121\n2168 53335\n75244 83225\n2206 10714\n47086 51658\n20515 75803\n9841 95751\n63350 82799\n84330 90127\n12699 77272\n52333 65429\n35581 43856\n38577 77489\n15451 15987\n45143 75231\n33862 74293\n37440 82863\n74804 77078\n29955 59791\n8135 13218\n40386 67190\n4587 13186\n21136 34939\n57843 85437\n3572 81651\n21258 85411\n9903 98291\n10129 62840\n31001 69934\n15605 54691\n12145 99601\n11944 78773\n75465 90039\n68047 92545\n8127 93941\n31208 35347\n34637 84242\n7493 30857\n33551 53766\n4437 59371\n50442 74340\n30199 53425\n45971 47370\n40786 76447\n11668 65494\n34731 47741\n24461 96950\n88253 94009\n43021 64740\n28160 55239\n35938 78277\n25773 34038\n3962 49270\n3575 86264\n35186 35833\n12026 23748\n16711 27269\n65121 66771\n80324 86864\n39544 68049\n65702 98026\n77740 87094\n49256 70249\n68612 78011\n1337 3151\n77340 92874\n25435 93968\n30743 55104\n75356 84942\n41523 83799\n28342 37237\n9692 69353\n13941 86939\n22007 48524\n9799 88935\n18025 59630\n48625 52752\n53360 56560\n11616 28639\n11100 29480\n66510 86971\n9368 45226\n30965 70093\n34359 84163\n22480 28667\n16601 89300\n281 38860\n62239 89463\n72990 94611\n6056 71315\n26940 99698\n15793 60748\n25393 64876\n52662 70532\n36481 59491\n3817 55128\n11427 23727\n46239 84895\n29484 59752\n38341 96000\n43213 58038\n56036 63035\n5516 13332\n18595 76628\n34184 65721\n83747 94017\n6399 86807\n41614 74979\n42028 86120\n11736 45428\n12847 82722\n43767 70444\n60313 81132\n31782 71048\n72561 77789\n33430 74769\n45565 92245\n73265 89648\n41455 81437\n47920 86464\n3776 70780\n10398 27515\n14064 79767\n38274 99513\n10392 42852\n17963 79988\n27411 37220\n74932 76366\n38895 80059\n35747 61022\n19774 38214\n9713 14731\n13086 57361\n17999 47697\n37431 99086\n27133 85516\n47439 81611\n55403 64372\n1792 21393\n16131 23174\n9299 71571\n57254 84524\n29634 61978\n16818 21823\n35177 73522\n54828 79161\n1950 22635\n47587 69840\n28834 61305\n2149 69175\n7340 92713\n65293 86816\n74147 89587\n37616 61134\n47559 51270\n5645 26414\n10964 28986\n54114 59324\n46846 85411\n20232 35925\n56560 58240\n11208 30564\n3205 37394\n66842 99483\n20166 54843\n28525 46569\n29904 62356\n139 18119\n46499 71862\n17123 54394\n15376 80008\n24247 37812\n23458 50705\n62586 95378\n33258 47329\n14800 28235\n48640 97049\n64339 67931\n6489 78744\n20668 68071\n15543 94324\n83938 86812\n55659 96517\n45710 75361\n29705 61040\n29513 73844\n63722 92136\n1582 29278\n19380 39078\n32863 98977\n67134 71765\n26027 81226\n62621 64694\n33277 88821\n1485 86281\n19179 66683\n10866 79956\n23183 74416\n19639 27206\n23453 45846\n12502 85933\n4416 19499\n34594 54547\n4884 49918\n12003 29521\n81772 82559\n24304 51481\n52325 77396\n53296 83625\n10342 77941\n51290 63940\n60707 88851\n45571 61969\n54314 72269\n8918 32440\n51225 62937\n49467 97758\n15749 27418\n6167 76266\n28811 76953\n29634 97915\n77475 87888\n1285 92002\n6514 57394\n11681 32585\n23452 48773\n53166 89151\n18866 63319\n15234 53567\n56477 84370\n18262 80675\n50312 99840\n31581 48618\n4470 40375\n36884 55480\n18297 60918\n10615 60272\n20382 69005\n13647 94461\n43447 63940\n20886 95039\n18831 96837\n49389 63047\n35512 63951\n28612 92400\n38897 58385\n63446 81761\n49316 72825\n71555 76003\n70253 75746\n9402 71334\n14666 64101\n8113 89761\n24518 26445\n35125 71796\n47028 91136\n17665 42828\n43994 66161\n76580 95912\n65800 98453\n78013 95916\n79425 89652\n10727 24286\n23489 81071\n28433 58537\n83909 87245\n36618 55458\n47903 83969\n6646 66802\n67647 76087\n20628 87161\n49827 53335\n12556 77102\n2406 33460\n5301 92384\n41183 94206\n35715 66945\n24135 60089\n24992 47206\n13688 75543\n107 92451\n47206 83920\n60609 94316\n64181 96107\n44482 73270\n3706 13811\n80364 93745\n61182 95900\n35029 66560\n10288 88221\n52170 87961\n53707 82755\n37418 47906\n56713 92886\n57571 89477\n51672 83858\n21447 28197\n30430 52413\n11386 33039\n54192 83644\n41451 91509\n30489 89359\n9242 66377\n6280 88207\n88993 93891\n15731 42146\n93481 94628\n3933 14145\n79891 97628\n32077 43074\n7006 42890\n17937 65511\n44881 86339\n31998 94804\n11630 18914\n9684 29587\n51785 94005\n1765 18688\n33828 52015\n14337 49551\n14402 17815\n16324 76304\n10935 29514\n24017 31224\n10999 22223\n61342 62610\n24513 64522\n48319 65245\n57710 61135\n67693 80044\n11416 43885\n1944 45578\n4593 25187\n25148 75437\n21151 46607\n30966 33490\n7633 62984\n71623 89360\n69311 98203\n4471 52578\n18932 39226\n15891 32074\n20344 68604\n20982 43937\n29154 72535\n60205 96983\n64650 71824\n5013 41169\n954 5792\n16919 73144\n48939 99151\n98756 99247\n17819 62816\n72816 98420\n21195 94783\n71973 91782\n17476 83056\n16543 21829\n45670 47427\n26888 95348\n25442 96003\n2575 94873\n92596 97707\n7922 72814\n12686 40787\n13355 26676\n3605 69603\n63349 88297\n40331 47527\n17919 96851\n38234 94176\n59009 86768\n10829 75307\n32068 37460\n8267 91689\n41258 68307\n4475 38758\n4665 29710\n62237 63816\n77187 85539\n2784 71310\n72064 95877\n12590 50431\n35245 60399\n902 22943\n14107 29613\n20084 66684\n83121 94026\n23320 95828\n18908 48849\n21828 83023\n49069 90891\n81923 96754\n42741 47715\n59130 80143\n25640 66302\n12999 93120\n10518 81973\n19244 87601\n31610 54852\n27305 48204\n8624 42396\n9864 89942\n51302 72489\n80404 92952\n48498 83482\n58672 68865\n51273 61576\n54245 83027\n56501 77142\n49337 94721\n32424 42428\n38034 60829\n38391 88890\n44549 61398\n6801 40932\n42850 89255\n16450 87241\n46238 53060\n5647 44786\n37687 76690\n44388 50780\n60411 79972\n698 1560\n24606 77353\n20769 54259\n11043 22663\n77760 83767\n71695 87878\n68545 89273\n11797 61140\n12071 20923\n8843 52723\n38664 83616\n52496 77910\n23629 60887\n66796 77766\n13590 87592\n14787 84232\n17774 25810\n53663 81288\n42336 73689\n44116 53901\n22340 46573\n35362 55570\n14123 76497\n66388 83146\n8926 32533\n2340 76312\n5872 50548\n28692 97573\n41123 62724\n10975 78903\n29363 55986\n59825 77792\n27640 27853\n5892 66484\n21376 95577\n17368 53282\n32182 69516\n64264 70045\n15676 71577\n18917 85621\n27316 75128\n31601 53069\n58713 70346\n24585 37170\n4299 11951\n22429 39154\n34298 78016\n48019 70382\n13083 56544\n4308 61828\n5330 73140\n8441 47737\n24237 88188\n28015 88630\n30821 70376\n2427 25521\n35268 85901\n5309 18888\n349 497\n91743 98584\n33404 74051\n36782 39683\n26230 36442\n10956 18963\n59108 98653\n54731 73903\n26451 53617\n18354 69154\n39 63425\n34414 75028\n30850 55701\n4600 15040\n40603 65879\n164 61299\n21423 79959\n29094 48374\n50342 55234\n35368 95370\n76591 93805\n64518 95938\n2975 94718\n33922 40067\n21823 64970\n11831 26279\n12023 71413\n46639 90709\n57574 76557\n32717 87794\n59991 80598\n21669 38574\n15474 70666\n27226 35255\n51855 64170\n55707 93563\n29417 40611\n58939 66235\n20454 33133\n10844 16031\n30117 71343\n42772 69410\n10993 49716\n12412 51775\n19371 68281\n62283 82220\n91706 98158\n732 45148\n51727 91012\n25797 87980\n20528 43126\n2342 8119\n24885 40267\n41489 64315\n59687 83621\n9935 78529\n67768 85856\n40339 48003\n21879 95921\n72551 90605\n86792 95682\n9895 53717\n21356 48434\n15301 38647\n1958 15271\n24464 25623\n76533 92029\n33306 71677\n39984 75802\n82381 90762\n62454 85970\n53278 80168\n50076 92617\n12110 48146\n1228 2421\n30902 33759\n49809 81145\n63123 74371\n16382 84077\n47256 82198\n16474 87738\n26497 93215\n12346 87370\n35454 83018\n23239 99015\n3527 73406\n58422 89517\n30576 32988\n3589 83121\n36289 86224\n82655 88172\n20049 20629\n92482 97771\n56292 83983\n15225 15712\n50432 85960\n28271 95802\n27265 32774\n55699 80196\n12654 36262\n62371 70666\n20713 62907\n20971 80064\n11894 69993\n6128 27294\n7795 65284\n54622 76405\n45527 83146\n85186 86090\n2293 75079\n15814 51853\n2354 72359\n7272 35840\n20808 39401\n31631 50370\n39015 53790\n7383 41362\n13515 41679\n41626 87139\n83606 92890\n59716 63204\n37139 67649\n15921 48418\n2796 38975\n47689 90540\n4350 7200\n17146 57973\n27336 41277\n22955 65163\n36983 96331\n66083 90515\n87941 97233\n43046 44211\n92246 92860\n95860 97825\n43462 50007\n8526 33591\n56921 89767\n44797 83274\n25186 37158\n2410 16019\n79791 92298\n47991 60824\n63366 64403\n5947 43159\n73886 74473\n79281 99320\n40822 47815\n81222 83557\n31615 83430\n68182 86798\n2866 32858\n73869 83551\n36624 49803\n17727 96164\n16856 73435\n11954 19364\n43319 87254\n22624 37092\n33658 69743\n9915 98193\n14487 34647\n80429 94823\n19986 48716\n5444 22310\n46044 64328\n14980 63220\n33301 82499\n55591 67912\n31790 92752\n58566 73904\n78251 91577\n71165 97009\n19764 36301\n33774 42118\n4182 62462\n79216 97596\n38227 88033\n16017 68889\n12219 84753\n51744 52326\n41125 82913\n44428 54553\n50835 66341\n39625 55258\n27140 65086\n72983 77571\n29501 40211\n45491 60828\n31063 94364\n17367 76035\n30258 42870\n5337 41992\n38192 50481\n15717 95747\n17353 75848\n12982 52511\n8437 15729\n58154 93432\n11939 66883\n15200 18591\n31215 88370\n20891 85412\n72156 87791\n2497 66064\n18782 80470\n55650 98727\n23591 63817\n11543 13114\n11098 81601\n38094 85954\n31406 73346\n39351 55904\n83988 96314\n31552 77387\n36237 98283\n12671 19682\n60835 91776\n61894 90634\n63471 93753\n21613 94945\n92011 98988\n2201 46643\n21826 64199\n51020 63657\n5766 32557\n2650 32862\n42609 83166\n9990 87400\n50008 81046\n61166 82316\n30824 75515\n6560 95839\n9235 78724\n48617 91530\n44224 44680\n12449 88797\n37874 39702\n11271 12770\n32718 89844\n45438 77165\n22265 46797\n23975 45938\n5905 89643\n11337 52465\n8313 25229\n31714 73464\n27003 70281\n15358 50772\n51419 74147\n33799 59177\n13539 73453\n12702 91756\n24217 42984\n41691 55344\n74526 92260\n20050 47638\n2252 76005\n46590 54742\n46101 72053\n54637 60183\n1057 45010\n73649 98799\n38855 47725\n29471 47721\n84683 95226\n8070 29602\n25574 33815\n17980 58196\n15599 72172\n3966 81256\n15673 39986\n17945 86192\n78447 98087\n2511 8371\n43002 86115\n13095 36226\n52292 56466\n8808 86448\n7750 83031\n15180 69678\n58105 61362\n46266 92415\n51563 73053\n76684 90823\n15698 60693\n52313 74350\n33478 91881\n83440 89931\n19114 25157\n61886 63332\n9956 26832\n39345 84917\n41897 85915\n33951 94318\n62809 82440\n33539 37197\n36610 80460\n30724 73583\n22098 46442\n55500 94517\n50848 61032\n46772 51766\n6232 54404\n65344 75485\n29272 47923\n20884 67256\n81495 82007\n52956 53623\n60748 73412\n10883 95806\n56928 73968\n26956 65084\n35120 58943\n18025 70760\n39229 66126\n8439 78022\n26115 87565\n15351 98081\n34361 84716\n11252 48096\n12726 97399\n4536 28481\n47601 53335\n12647 99620\n4488 78737\n6730 75823\n29314 42310\n70199 85063\n24105 37970\n33378 49524\n30054 33458\n19992 73682\n44515 61039\n29184 53731\n35267 73670\n16670 63839\n62751 66093\n22953 83688\n25276 95111\n41417 67654\n47025 91784\n18235 75301\n26950 52053\n12747 77503\n48155 48669\n75961 85027\n7482 55939\n10983 57771\n390 58942\n42755 98078\n53323 89424\n42912 69487\n16733 29970\n22244 57705\n15245 58375\n13451 61271\n18614 49325\n21365 63022\n60232 89331\n6707 7550\n85601 85823\n58347 58459\n28788 72774\n5817 76897\n7822 48747\n11807 22208\n75207 86263\n14271 97766\n52829 93033\n79500 97943\n15730 99255\n7899 55448\n22165 60913\n6644 88027\n84784 88963\n25873 29220\n54788 94544\n31022 79802\n11197 12399\n37667 50008\n56040 63767\n542 63014\n52325 82925\n33009 64697\n12114 44522\n17743 18842\n24937 82025\n32574 92077\n57189 71806\n30301 70352\n62065 89544\n95263 96935\n62074 78014\n42460 53390\n42801 64019\n68788 95781\n3028 22363\n14159 50035\n1279 58300\n75030 95162\n279 68802\n35391 58075\n13796 98346\n20939 67905\n25230 46726\n65344 75272\n27443 96877\n6065 31085\n26105 38249\n54700 89132\n69868 75892\n47823 79755\n85036 89178\n16433 77729\n46642 92659\n10555 70114\n4040 74347\n4233 96335\n48879 59112\n51294 96553\n81864 88835\n18843 26848\n79827 89280\n23908 57687\n45088 86779\n2945 39839\n43704 57031\n35897 60738\n22663 90340\n62937 91719\n14073 67067\n10194 26690\n11134 70386\n30468 56981\n21508 28890\n14656 21767\n28061 46637\n87352 99547\n29134 62170\n82792 97081\n52499 62621\n54095 67255\n62508 81355\n30593 76001\n8674 91228\n36068 62872\n39016 98178\n7612 57328\n15286 59690\n23656 77864\n8086 12984\n39889 62736\n38976 96738\n16471 21997\n61406 89692\n13481 69369\n55776 78039\n45113 79311\n35470 70999\n39397 77996\n17264 67228\n30216 46953\n22478 74818\n24579 76743\n42667 64471\n37480 88565\n57579 65724\n30730 83644\n64871 83344\n1255 8694\n193 1920\n15595 58855\n59312 88819\n21439 23928\n33828 98616\n83939 92566\n1320 83061\n42497 43982\n41139 45606\n18499 22965\n42950 95984\n68326 94994\n21306 35228\n18829 45980\n59312 69468\n59339 82618\n78502 82471\n24715 85671\n49766 91039\n607 14541\n98062 99668\n23130 56589\n53977 83719\n30149 52560\n8616 97593\n63412 69884\n26539 52757\n5355 55016\n80240 98084\n54712 70679\n15937 64404\n16778 36029\n38414 48521\n62061 75891\n44378 93247\n50393 97306\n15469 45234\n26770 63278\n41326 73568\n21111 94408\n6598 23456\n31664 72945\n29362 49160\n42540 46754\n410 58917\n30280 90256\n39250 88076\n41210 58926\n57310 94696\n40738 45954\n23781 48761\n37246 90520\n6095 46805\n52608 55215\n1680 9957\n27597 63515\n2070 49192\n47518 92464\n46171 63615\n31812 79558\n82235 96707\n4985 45126\n61767 65972\n13103 17126\n65164 71831\n3188 67056\n27635 52245\n7435 63629\n20307 69859\n27946 49078\n12591 91143\n31963 72424\n1189 97592\n36326 44064\n34300 93157\n29912 32589\n55336 64899\n72949 86988\n41612 76311\n25989 78600\n55735 79022\n24951 82316\n43274 65177\n40358 83066\n16429 20297\n31700 91181\n62817 64956\n12071 21408\n26068 94966\n80243 95836\n5372 25854\n20206 67252\n79006 92608\n3020 79059\n86878 98431\n33346 41582\n29320 73983\n42600 93269\n61680 75070\n2527 66123\n18863 79704\n27736 39332\n18343 50550\n628 3338\n78436 82113\n36830 80644\n54470 95337\n36750 48513\n13028 59440\n15872 33665\n34746 56703\n18382 47382\n69072 72830\n25022 87994\n12805 33090\n56076 75523\n23220 84171\n64896 82062\n6223 31048\n10817 39782\n3928 96336\n46416 98642\n5117 75465\n41450 50572\n20498 51324\n24346 81412\n64711 67359\n10714 52775\n10881 77219\n24936 25146\n70720 95000\n63273 86983\n2543 46961\n64546 86748\n4261 29514\n19894 93463\n50320 75995\n71932 81187\n63382 69785\n8095 77275\n4674 64715\n44926 49193\n90518 92198\n39234 93779\n25214 33349\n39273 94156\n8178 32831\n19750 77248\n14894 15897\n20983 78314\n19425 95991\n6652 8088\n46051 63993\n68062 68431\n78922 79529\n12001 87635\n29565 64446\n10814 81260\n26232 84802\n37702 88223\n35157 77069\n27756 92402\n75023 85489\n53394 82635\n5288 12216\n6416 43891\n27277 31576\n56953 61446\n38675 76504\n6262 84205\n41159 96025\n38650 44905\n18467 70060\n1420 27994\n51355 84754\n45712 57106\n63861 67700\n43485 94872\n3551 45962\n37096 43583\n60588 77035\n1704 63995\n43219 87927\n19095 48739\n31505 90548\n10938 88560\n32062 85664\n15715 71458\n16540 83299\n23256 85744\n43602 67875\n28951 67802\n19905 89101\n47678 72119\n41883 82797\n1167 70150\n86697 89451\n50086 70662\n89924 97526\n1790 5244\n39105 85316\n8398 71321\n16980 65382\n39434 67379\n3158 75312\n59675 73890\n4494 87371\n748 32183\n14519 87533\n3643 65277\n33572 51933\n7297 68659\n26457 90193\n16255 28904\n3028 57962\n20008 24699\n878 6422\n77506 95566\n18163 43482\n73830 99856\n5323 17332\n17844 53208\n33687 81021\n31827 44632\n38108 75896\n20585 75338\n12681 19361\n14859 86169\n42370 48474\n72854 83059\n50034 67856\n4757 47570\n47771 86124\n31073 83507\n42068 71137\n49916 72218\n59697 67559\n2218 30925\n17519 65846\n11604 21079\n11409 40250\n58445 73062\n48933 70114\n9129 74018\n26987 58669\n7564 89883\n63965 67093\n43322 59736\n3130 8137\n3749 30507\n70258 83048\n22094 67968\n34945 59115\n14490 61712\n17889 73001\n5425 27152\n7989 61871\n11325 60109\n88123 97991\n16534 63916\n6764 81549\n4051 41702\n88162 98381\n53302 62957\n73282 85751\n30989 39490\n51104 74179\n78193 88449\n47688 51834\n10776 36372\n48034 80663\n47239 58784\n38701 50982\n5861 30074\n81982 92928\n11586 86657\n15566 83793\n1718 60106\n939 71249\n11651 96442\n231 68540\n68825 74631\n1942 6599\n64418 74990\n85328 89001\n9255 72517\n41724 53537\n57382 71790\n36170 40007\n7980 77384\n42067 95109\n4458 34942\n23647 24011\n11393 59436\n28244 74503\n13902 82035\n82166 88602\n57949 97212\n29455 89989\n71960 98610\n30606 60463\n30267 51677\n40621 49645\n34671 74618\n31359 54787\n6054 94180\n54784 94432\n9407 95556\n3584 29377\n32919 66500\n51475 59296\n276 31473\n63760 75054\n43820 83726\n19953 63067\n47203 60158\n22277 72771\n12061 86653\n31268 88037\n4146 87364\n11829 36426\n27305 78122\n3957 57278\n62147 84571\n27815 28854\n29302 92367\n4034 33897\n3084 58223\n71285 73937\n65462 73273\n50121 62537\n16179 79794\n47016 91400\n47570 77434\n44564 99398\n39995 46740\n28581 61369\n37274 71216\n4107 93735\n44264 63770\n1038 80454\n55584 93996\n8060 97213\n8340 28524\n45397 77270\n48471 49763\n82801 98742\n3885 20308\n13084 50243\n25059 53107\n12220 34825\n16763 77861\n5395 52406\n41973 63146\n57586 94994\n1174 37558\n58963 93557\n11101 40688\n60821 75005\n4184 5372\n1403 85343\n43696 60232\n22482 25676\n20342 69632\n12728 75408\n4959 93420\n42881 97483\n9145 85825\n46206 76225\n34186 77348\n22853 34390\n4013 38916\n7443 28669\n25283 58561\n89971 96970\n24342 89977\n9054 33634\n16979 94335\n13338 42554\n56874 76446\n84913 91896\n43782 52354\n579 88978\n22880 41034\n51574 51908\n35428 86130\n14975 44162\n53564 82091\n54887 88387\n8147 76103\n29181 58626\n1226 43726\n49025 94725\n13286 21197\n31297 98410\n14823 47849\n4309 59437\n74458 94306\n4960 62515\n8353 35976\n15646 85328\n20827 35298\n76613 81566\n5252 68644\n11819 84054\n29138 64942\n31114 65914\n9048 61224\n63015 86804\n1548 35344\n7627 85580\n15253 24361\n18521 40312\n15358 21799\n13020 87691\n52920 92219\n10802 55860\n46644 78152\n41970 64936\n2245 27728\n63977 90952\n15948 57971\n18094 59015\n10361 69524\n2720 28424\n56655 73814\n52669 59905\n18529 78314\n74076 76061\n73234 81720\n3189 11216\n14841 34940\n69796 84819\n51432 54881\n14292 28181\n6078 22232\n13785 47039\n427 25894\n31840 49758\n8475 45288\n883 58450\n79007 84632\n56824 61586\n88346 98651\n5707 60396\n73127 83776\n3177 9979\n11441 86310\n20461 83671\n58471 74390\n17488 28090\n26371 56039\n38498 94772\n39901 58333\n29753 95244\n3949 18985\n29422 89367\n11965 26485\n33872 57472\n22065 22085\n44197 75002\n23983 44781\n81569 86996\n33506 72276\n31893 48223\n11302 61270\n71551 74263\n46859 94269\n67603 88034\n3260 56180\n6889 16870\n25223 37011\n331 97342\n75010 99842\n4379 10299\n74563 87998\n40523 88753\n82709 90691\n33716 67437\n21383 39147\n13260 38809\n18810 76123\n36158 73581\n23325 40510\n40688 58177\n52188 63605\n32501 38903\n9960 31818\n12178 19505\n33363 61553\n67682 81963\n56375 88585\n6175 91961\n5201 56215\n55767 75801\n22412 66265\n44795 75765\n24728 45493\n34019 56499\n36898 51181\n69776 99068\n49328 89659\n39103 80710\n72661 96700\n85590 90459\n21493 51446\n32084 69069\n1562 45472\n14839 57914\n26188 42643\n15968 54442\n94579 99912\n86420 91908\n9005 11638\n6232 36194\n30765 90959\n15821 88806\n20738 33487\n7635 11623\n61651 88036\n34402 80769\n29422 38855\n13733 29330\n94145 99452\n22163 29650\n22499 45014\n10029 44458\n72893 92750\n229 32372\n20327 21313\n14065 81864\n38832 44433\n23959 79600\n68349 83045\n31256 77170\n14543 85378\n83291 84757\n90367 95145\n38179 89171\n8643 33720\n27770 46685\n12105 19952\n6739 18446\n4130 64838\n31941 40093\n18204 69526\n14582 65919\n17509 77296\n59054 76970\n8547 81669\n52158 53742\n33727 38486\n10909 57157\n45062 65302\n41613 65879\n80982 84104\n15775 71343\n66035 98652\n56607 93450\n50528 53164\n12270 91433\n51342 69444\n34063 92066\n47794 85578\n11915 87841\n25427 87153\n21317 28181\n77474 87457\n17210 42552\n48895 69417\n53638 55391\n73670 75468\n31567 82068\n13996 85143\n10903 77785\n3654 22077\n43171 82244\n20043 61080\n55426 70081\n31516 78351\n10669 96923\n38624 69481\n56250 85012\n6613 32288\n50515 78417\n54612 63820\n95126 99738\n36600 75536\n16710 74262\n20413 72364\n53200 60936\n30876 76468\n13860 28266\n56520 56914\n81687 89905\n3874 21104\n40456 69335\n87078 88909\n5670 54484\n60045 72109\n54378 82076\n58675 71959\n51113 95722\n36107 99933\n34595 73890\n29309 78876\n36062 99218\n9081 63790\n16047 64009\n26511 32870\n80787 99516\n49278 99173\n35514 50188\n23908 48298\n15859 29241\n65398 75582\n2835 33060\n59670 82680\n58084 82381\n562 56408\n16110 68334\n46536 46909\n36926 84466\n57758 67389\n34638 48406\n40323 70238\n4228 48926\n64764 98792\n31943 89199\n68586 71195\n43145 65154\n29144 36873\n36008 52024\n60609 68999\n54166 86767\n32621 54047\n65419 73751\n58498 86379\n19087 90693\n79484 80372\n41741 58632\n78602 89395\n16302 61452\n9177 75956\n30381 66875\n39653 78893\n23285 40026\n52824 59685\n37681 81997\n40403 69532\n53469 61551\n1264 55403\n24412 92983\n37771 84385\n34022 72680\n59245 61548\n28351 35410\n46982 63300\n64942 68461\n52940 73872\n41640 67084\n52658 78666\n30894 75608\n73997 93027\n6435 18416\n1287 51369\n75494 82139\n19336 82012\n41779 42467\n10725 98862\n46838 72755\n8848 74069\n12025 27238\n44575 72335\n27033 86987\n20095 55875\n7549 10516\n35953 65430\n50608 56383\n10294 45704\n37910 43017\n22375 61414\n39623 83388\n47970 62628\n64973 96927\n66788 87928\n86787 94729\n30284 86694\n57530 62148\n2413 8578\n10357 44999\n8250 24502\n45453 62755\n19714 84209\n26786 52795\n44330 70404\n66958 80931\n80166 90105\n12805 84453\n33001 38182\n51089 75278\n73457 94092\n71158 92623\n36693 90882\n31703 71285\n18811 64011\n71743 88018\n49050 85153\n16275 85945\n35869 67987\n6557 48861\n12914 63999\n21412 94267\n20914 52090\n49468 95098\n31651 44308\n32450 82518\n29511 75796\n45064 52610\n80243 88903\n48603 94284\n14921 98642\n82587 88222\n37378 70119\n5530 21195\n16603 45279\n26835 89567\n65984 86464\n57313 78580\n885 54100\n8069 45151\n90729 99479\n25047 87696\n41391 56478\n145 6245\n25699 60867\n55197 97963\n41914 72652\n13375 64996\n3826 16627\n4195 89072\n45715 60192\n35401 37844\n31651 82131\n40476 52696\n38170 87257\n17382 70683\n1287 45025\n32517 93724\n64389 90607\n26802 65535\n13817 38799\n13295 33949\n26004 41077\n27853 28177\n53002 71839\n18228 89842\n18365 76630\n4597 86031\n57911 76253\n76493 83202\n88919 98754\n9782 17619\n47322 89088\n18247 52228\n8070 41049\n34187 87498\n9488 83717\n69273 76264\n88189 98236\n13933 83559\n87165 89640\n74263 88069\n67638 71123\n22111 62689\n53256 76950\n19160 57667\n53957 86981\n8773 67045\n19343 60537\n39896 73598\n24379 59030\n31209 93614\n3163 20619\n87258 93168\n6813 34884\n82186 93583\n12134 60676\n42357 46010\n86767 95654\n7303 39199\n35450 85087\n3555 78370\n5824 65101\n700 56028\n25705 52886\n31591 68996\n20004 45485\n9917 72504\n33936 89152\n65605 92451\n8411 61296\n24282 89854\n67081 84759\n24838 64666\n49579 68221\n4335 45580\n2283 14670\n2915 85292\n8860 30688\n37267 98058\n26932 30718\n13104 47747\n27835 61330\n9561 62051\n13497 31164\n12776 34668\n10255 71265\n39588 78125\n4823 89846\n59011 78499\n1713 95286\n21210 96758\n11737 76725\n24910 76104\n32774 86094\n38160 41789\n30495 82057\n59731 81091\n44614 79881\n17284 57971\n1235 99216\n3925 35633\n20378 55658\n71862 92030\n2236 4158\n4339 32545\n9466 88057\n2854 82290\n45212 89681\n1645 10181\n69155 71708\n67206 90348\n2386 4746\n34483 83495\n5357 79425\n9236 26847\n62066 96540\n59995 90226\n57549 70777\n54753 79328\n530 62644\n22364 27133\n22917 48445\n11957 80041\n58822 58962\n10269 68145\n74265 80465\n2253 45787\n72533 77007\n31399 40577\n49381 89891\n28070 37402\n538 95964\n6568 37789\n56716 98916\n12637 84471\n5144 14832\n31455 75971\n66400 71154\n48237 80086\n1569 25807\n69618 82614\n9886 75749\n51038 67040\n27836 75336\n5208 83273\n23107 82578\n8474 66346\n11019 41673\n77805 84366\n47856 79644\n23727 91531\n70196 94096\n49015 90590\n96260 98104\n23844 60876\n13221 92447\n35799 91848\n60498 79274\n14062 65269\n28999 35107\n39969 75881\n51229 68646\n56043 56410\n13771 78463\n20888 71726\n42438 62505\n71039 73394\n25751 79791\n61763 94517\n71017 78468\n33822 99527\n39591 82695\n10119 28282\n45067 68644\n8110 68048\n25186 55180\n24973 61380\n4319 11142\n4148 33909\n66417 80986\n21024 89383\n42720 77252\n11087 27117\n36649 99817\n29485 93369\n8136 88283\n365 62030\n58231 79252\n33622 66209\n85 48610\n39276 83447\n24096 88906\n25511 33710\n41598 60093\n25976 56610\n21237 25253\n38946 79582\n61898 84186\n50863 80166\n27561 47410\n30332 52071\n28912 38950\n39371 41735\n51818 99093\n5927 10049\n63379 66022\n37103 51881\n73120 91208\n25714 62948\n47513 79610\n101 33949\n3783 32065\n22684 50407\n27724 92174\n14040 35451\n43214 75499\n25819 49893\n46478 63415\n63266 81678\n17109 22696\n47505 66382\n70695 84430\n52294 61718\n5960 22350\n69640 94892\n23126 88013\n53506 85914\n6609 83335\n19561 36794\n2591 34223\n31226 42268\n58741 76124\n38629 87222\n3209 67336\n42117 60949\n11512 74512\n10212 90722\n37253 60991\n27431 74313\n62479 92756\n48222 63562\n8430 32409\n4268 70878\n11588 27131\n38571 83106\n47791 56906\n71872 80592\n65298 77181\n15784 77984\n14992 60729\n8494 39730\n21226 53171\n3106 96476\n11579 35346\n25436 93060\n32860 89944\n11009 74948\n56049 86897\n58584 87601\n41063 55921\n14483 53582\n87175 88777\n44274 64566\n9064 20360\n31341 57179\n2119 36891\n10249 17130\n29034 69861\n22955 60494\n58714 96250\n53946 91676\n60713 62557\n5136 59217\n40060 99516\n46481 47963\n8023 51660\n30161 37491\n23341 71830\n29683 44089\n65889 89173\n23002 87636\n3162 93421\n30044 92940\n72964 87081\n23507 42885\n83632 87696\n13842 57871\n37561 76139\n49273 79087\n53442 86369\n4478 77685\n50490 56920\n24516 25675\n24451 25112\n73651 97879\n8848 58234\n34128 93235\n25397 98926\n69168 75883\n736 97343\n35386 71857\n64665 65929\n41151 60960\n24227 45838\n68 58418\n59836 97737\n18907 21458\n21132 58602\n16049 45266\n80221 89314\n95943 96032\n60087 77634\n11033 89182\n66498 87971\n68708 90678\n15530 71583\n70555 86328\n7294 24153\n9623 25882\n5231 36201\n36778 39757\n96931 97240\n10929 38808\n9042 19917\n46232 99701\n58577 72169\n9262 92330\n44372 80350\n7090 54659\n2122 24423\n44797 58538\n29938 41620\n56545 85252\n57973 71878\n40599 68284\n47788 62129\n52993 92303\n64151 98838\n46151 87914\n33002 55901\n25085 56253\n7943 23096\n52728 89708\n43732 71142\n32560 67452\n39076 43164\n53239 75693\n8856 48856\n25718 86361\n22572 49603\n51932 87587\n48115 51598\n17145 67550\n34452 69498\n10908 96343\n39003 56826\n14392 57380\n54136 70616\n23041 68359\n29890 61308\n65365 91027\n19002 23468\n72372 93382\n53394 53729\n11106 27457\n89529 92869\n9983 90223\n1979 52927\n90351 91293\n2183 36876\n8435 51845\n68707 98955\n38348 92538\n37287 53797\n17092 89169\n19179 76655\n677 97296\n28943 50025\n9617 31758\n11048 55053\n15098 53459\n23851 80297\n61610 63684\n57768 84871\n29175 44556\n53874 82482\n66400 82759\n25127 26595\n8184 9811\n87443 94939\n14857 87428\n5831 14794\n1974 6167\n18907 53449\n67847 76177\n39680 90259\n93477 94150\n58807 67302\n34666 55715\n46717 64577\n8493 55488\n86118 99983\n4359 18403\n3778 18716\n24275 92328\n37083 60525\n67647 84544\n3517 76251\n27372 61342\n28032 97216\n39273 84881\n11866 92372\n34251 47897\n22943 75172\n25122 95351\n29194 57267\n76022 82815\n60302 91637\n60117 66587\n31993 92239\n71034 97542\n6379 95992\n8919 94641\n59088 94170\n37302 54834\n9287 65328\n25209 68152\n30035 52547\n54589 75452\n29824 38377\n30317 30926\n47962 92846\n80015 93370\n57043 72341\n33676 41494\n10184 32232\n24943 44677\n26529 42449\n13279 38036\n28508 93146\n945 37169\n58883 85572\n18656 29627\n13062 50638\n53709 77869\n51437 93306\n36239 37278\n3858 68237\n5160 40385\n55679 62786\n91600 93449\n37711 50821\n54720 64870\n14830 96888\n27664 79838\n31029 77874\n650 11201\n17992 49894\n57955 68288\n54325 99617\n64659 97224\n14592 79649\n34836 68535\n51134 81271\n52585 93118\n11538 83719\n13467 98949\n2608 33040\n38209 76808\n26920 38831\n82540 89985\n3632 81587\n937 23066\n15646 96586\n17294 21420\n10984 22907\n29983 77527\n712 71061\n21033 78116\n26465 64124\n15094 75992\n22959 65577\n67605 67615\n22407 92882\n40362 49436\n28003 82078\n28795 66437\n60242 87809\n11949 68993\n54071 98931\n66973 76532\n14999 21832\n53674 70719\n84089 85112\n51193 53762\n19798 30671\n35906 69687\n10765 25188\n88422 96841\n10008 68434\n18563 26708\n30434 80691\n94026 94211\n12219 49153\n23879 39159\n27902 98655\n24218 80970\n30279 49141\n23987 56211\n12231 56632\n36938 63699\n34139 82209\n1156 93376\n97335 99719\n5352 88106\n76046 96169\n24106 63059\n48825 97639\n53066 69828\n64647 85206\n17324 38565\n38229 55091\n8275 77657\n30454 95214\n45174 83044\n10692 14740\n4284 87127\n75888 91672\n25173 30923\n17628 25248\n11643 61746\n39962 45751\n69462 95717\n79537 95119\n56711 92564\n37226 72819\n40827 73745\n21630 64465\n37096 47617\n34553 47886\n14502 18077\n25242 57838\n18840 47853\n69212 69321\n22307 65514\n793 21227\n49858 82236\n35787 81912\n70949 86790\n11324 51900\n3298 84431\n8543 17594\n5142 46622\n8026 90742\n23183 48494\n33821 92549\n22609 86270\n17739 84816\n76409 94025\n78450 79472\n6560 37170\n66339 88000\n13695 45480\n44634 81599\n28819 78821\n11878 60611\n19317 52299\n11251 75825\n8850 51714\n3119 80400\n42998 72456\n69257 99496\n24192 35731\n18565 89896\n6717 80199\n20804 92857\n5310 56469\n22528 97285\n45212 70313\n30304 37461\n13958 38230\n9235 56906\n28776 59771\n59366 87054\n11340 15309\n2962 47817\n37939 42912\n27041 45889\n387 83267\n7191 67675\n48727 74039\n497 62014\n56697 71373\n19377 95679\n17317 57986\n43438 77632\n19184 89659\n21 62258\n86086 89439\n25538 48679\n39072 84234\n45283 67420\n66758 84269\n58165 63332\n37722 47927\n26833 58581\n32105 74210\n93317 97714\n47031 96887\n34531 70256\n63100 94408\n26939 64536\n57409 95844\n6254 64934\n30949 51240\n78941 89675\n81049 89147\n29013 75264\n89735 97120\n64612 88762\n15169 97337\n32847 59761\n57930 74043\n55539 99239\n61241 69587\n20920 76423\n10374 85127\n66498 77545\n58850 95627\n29924 96658\n43003 67747\n39496 49804\n27988 68091\n75104 90902\n34554 75940\n2381 28624\n75397 90407\n24906 99460\n37124 70517\n48909 81709\n31644 54897\n49203 56924\n56423 56582\n20532 92565\n30283 65499\n16032 76665\n31825 90151\n26363 91636\n53816 75964\n90677 94216\n16085 59957\n10944 84318\n13934 86320\n74010 86204\n17855 37107\n31987 77954\n3281 17500\n2023 62860\n16290 59442\n36647 50904\n18429 59581\n56959 87274\n11287 95150\n77006 91177\n3504 25224\n72388 91862\n66796 94938\n24714 55414\n22978 82095\n72221 74103\n14994 39646\n27205 39492\n31774 67960\n27370 37943\n88789 96748\n45098 75879\n10875 30822\n56305 84657\n19768 45532\n14443 90168\n8247 9147\n34056 88731\n16366 29320\n28251 88909\n11917 53020\n12719 20528\n6353 35532\n48531 52269\n655 90011\n27263 40135\n13996 22054\n30886 42011\n36279 47466\n22492 93933\n44968 88247\n17017 85866\n11432 35480\n11303 53591\n64757 91156\n31283 55332\n10555 38670\n46396 75299\n13684 52790\n27171 54839\n60114 93818\n55391 72158\n26173 56301\n57074 74473\n33865 69590\n18759 85453\n25310 74323\n9389 24591\n40022 48007\n42564 57804\n40622 56393\n18356 37102\n23719 61747\n65061 65382\n62694 74420\n1172 63494\n20287 38226\n58835 77503\n5349 47610\n68071 93894\n74015 86111\n16951 22415\n8286 66277\n24407 80489\n49713 74660\n33892 52006\n44038 98228\n3124 57477\n17095 63188\n13672 59180\n29334 40032\n9427 74519\n11557 67290\n64926 86126\n42063 98657\n32265 70880\n57232 83944\n49926 94389\n67977 99091\n57565 87508\n20165 85778\n76981 84826\n22026 28306\n24040 34665\n47624 63107\n50365 81568\n47095 69225\n59085 77990\n7109 26329\n15142 60949\n38709 84218\n29437 68241\n37193 48529\n62177 77560\n28340 60788\n3475 47163\n16617 67359\n110 10267\n23787 76764\n12953 39721\n165 66712\n284 40866\n33832 83119\n36612 59879\n32395 54618\n8782 26628\n17769 71432\n20579 53868\n9909 42991\n39239 47913\n25622 56335\n6440 44080\n21119 34021\n35369 64377\n8823 66317\n37157 93711\n45555 58332\n75774 83964\n14654 92264\n46481 82711\n36736 55245\n68245 96893\n11106 30510\n79909 89822\n44038 99940\n3598 52496\n19188 69286\n63866 69010\n30801 67298\n31467 98197\n34861 51106\n23505 85030\n17265 97547\n3814 54800\n37 41814\n26328 27265\n4558 8912\n27548 85717\n1045 86953\n28045 38822\n34586 51438\n20674 32588\n5141 39532\n19101 50567\n27512 34167\n12761 65096\n9539 47602\n76354 76862\n27584 49421\n1824 89101\n6757 58425\n62915 85699\n3130 14881\n8910 76595\n22426 27348\n1742 39784\n47977 67757\n10432 21632\n14707 84847\n33719 55893\n73396 91988\n23748 51284\n64570 97208\n46753 71127\n6296 87713\n16984 18336\n33375 98391\n61252 87387\n35502 60760\n26737 34816\n63753 68714\n5040 54750\n17243 96950\n55269 79550\n30320 38923\n6729 91498\n9464 16472\n2920 63881\n73391 94028\n18718 55151\n10166 65625\n4092 65781\n51680 68219\n32731 75656\n59534 59936\n74184 90667\n16596 72337\n17726 24805\n20954 49969\n58885 61484\n35262 53388\n90015 94691\n12776 19156\n42386 43067\n54063 93484\n64691 99826\n12637 48337\n80680 80987\n34900 62033\n73180 89318\n17201 45860\n16522 19910\n48160 71911\n7180 47510\n26526 64659\n28999 84226\n2515 29273\n72972 76867\n45742 46855\n35292 82825\n70324 78414\n7635 11893\n15363 67511\n2768 50134\n42039 60806\n21966 77265\n13904 80653\n80183 93901\n52564 76917\n59695 86214\n47543 59062\n8065 56270\n63029 70947\n67023 94021\n7109 58873\n18482 72444\n74153 92766\n9993 19069\n8669 21719\n66066 78119\n5822 22922\n1879 81110\n58116 86262\n23874 71526\n40809 82368\n12078 22728\n29456 33581\n19783 86602\n41374 69994\n32624 96093\n37861 43323\n15871 82357\n8695 55914\n19591 29384\n61164 95435\n16365 87230\n71508 73045\n89075 96152\n47347 80579\n74996 79360\n13978 41990\n7463 68009\n75107 76835\n4304 85062\n60175 86841\n75880 90125\n2550 56722\n15598 44615\n20564 81493\n21228 51105\n6960 42287\n36371 38798\n53660 77379\n2021 31492\n47261 52774\n55599 62146\n4149 99176\n11724 94707\n43879 62029\n52079 58066\n51271 59103\n53140 63139\n16202 55364\n28653 51367\n62894 76659\n5268 65624\n80996 94196\n46396 77826\n1065 49340\n55891 61164\n15072 89264\n21616 48758\n11785 77863\n4500 67790\n62367 66959\n1665 29898\n50461 55645\n5946 75365\n64165 82924\n67983 73131\n6747 22579\n480 88261\n6849 51114\n44712 45606\n43313 44379\n42354 49370\n17699 77273\n37955 50481\n40188 50024\n9890 18421\n57339 95434\n681 53553\n12360 29714\n48660 61452\n7217 58980\n25934 41904\n40800 79213\n21505 48734\n33998 87029\n24599 53224\n41600 96100\n20290 65379\n4726 20299\n14027 56595\n11813 99087\n88181 94423\n89251 98533\n2005 7699\n8892 86779\n78085 82063\n25938 49653\n33506 52847\n3286 10813\n65208 78060\n22335 48891\n651 48051\n12961 15943\n29473 41235\n16473 88317\n38768 87582\n21917 37949\n24858 59015\n2809 77460\n61265 90892\n15271 75434\n74872 77561\n52529 87826\n38507 89340\n4321 9536\n67380 91521\n20191 25767\n84857 94910\n1375 91367\n29148 99331\n25957 68843\n46503 76112\n21250 51590\n15454 54949\n84711 89318\n42607 76287\n41745 63350\n48356 86966\n41934 65787\n28949 52357\n46429 57132\n9186 42940\n14539 69184\n1897 72368\n28609 88411\n20550 69019\n36876 55537\n46649 47425\n61994 69786\n42115 76225\n28230 42469\n35619 86347\n62815 84013\n69671 72924\n61250 87465\n19360 84191\n540 55655\n19856 56907\n2370 31398\n34294 97678\n49926 50612\n6760 70118\n64387 98961\n1324 1931\n43098 99701\n1869 70013\n26216 49873\n68378 75269\n31048 42220\n37998 44438\n50972 64975\n43927 82582\n15279 23431\n3924 7266\n43253 98738\n70469 84514\n75907 91342\n19085 63102\n7525 99320\n48321 88978\n18168 55770\n309 49306\n800 50311\n19043 96081\n56637 67764\n11359 73355\n35903 71437\n19045 60135\n48073 91430\n15436 61993\n30771 73165\n11973 27960\n10175 24680\n75597 99083\n15126 94677\n11477 40684\n62395 94747\n37143 67311\n19468 34846\n29455 60478\n1016 4560\n75973 94601\n10774 80065\n68212 83293\n20807 26062\n74552 80104\n13918 85866\n12684 56764\n44559 49673\n375 6965\n11619 16997\n35722 92596\n45370 76873\n5131 78455\n72068 73852\n5260 74570\n2310 63507\n4574 10361\n33288 70298\n28365 49409\n58744 94360\n19867 37792\n46372 57462\n19425 94816\n21065 98249\n32423 32545\n71253 95161\n2444 36512\n47214 96530\n64300 73682\n24587 31644\n26639 95855\n51525 99658\n11880 90126\n3811 61188\n1798 43654\n24775 89451\n82 47918\n59275 69136\n18079 31647\n8782 98461\n30005 38149\n16030 21722\n38671 96789\n59702 100000\n51127 81781\n24561 29538\n48020 82239\n18297 86825\n29026 37219\n15387 49918\n46704 82339\n20399 53530\n55805 77003\n54525 81697\n22870 26897\n10520 68519\n34711 51069\n85469 95464\n42553 68536\n35604 46706\n52770 87006\n6145 31004\n38519 66868\n35996 61447\n39933 79821\n6162 20186\n2242 4254\n92755 97314\n23988 53719\n56551 65376\n23772 65818\n1442 94871\n48562 77484\n35385 94253\n24693 68000\n11871 30216\n9509 19622\n45407 54402\n70918 89789\n4960 66958\n35101 47150\n60747 80101\n11258 60744\n73128 97072\n26509 37305\n89318 90642\n50482 75719\n7811 61302\n36024 68203\n22440 26880\n20191 97464\n7546 27289\n43975 94228\n4232 34465\n5644 95512\n13672 71107\n18510 69918\n56516 77899\n440 69445\n9268 48533\n64377 75027\n8903 15529\n4847 98849\n46237 57564\n47432 83203\n7895 87365\n41260 87574\n34730 48228\n27839 33589\n48679 88211\n2561 69784\n62579 65061\n26533 81928\n13120 33711\n11675 77842\n41996 50149\n27810 41103\n20546 86334\n27126 96384\n49115 97812\n6606 88036\n8905 77289\n56545 69572\n85090 97109\n16902 87763\n41986 75629\n5406 44188\n11306 21765\n15764 64663\n25332 27783\n7489 63113\n3873 87308\n37476 75289\n16342 24384\n21839 67592\n1823 70048\n9384 40131\n37224 68087\n2462 96355\n19247 51277\n34306 46771\n25313 44507\n10138 32328\n86474 99745\n14334 19363\n41674 92573\n42240 99857\n41208 99093\n7549 39772\n16658 74536\n31985 72251\n54510 68264\n8010 67992\n73209 96989\n68269 75588\n7170 90887\n4871 56659\n74649 85108\n66550 89025\n2769 53271\n33384 73872\n18015 58498\n36959 45474\n63467 90984\n38439 53236\n52678 73642\n65578 76374\n29378 99442\n71745 86180\n83206 86975\n97244 98499\n14384 16681\n15386 75972\n9872 89072\n32539 87459\n20559 36145\n58899 60192\n282 71624\n63505 92817\n56947 72856\n56698 60134\n30096 95663\n50343 59305\n13220 40403\n55606 88045\n23946 57714\n52099 95945\n18957 30765\n45684 46486\n53203 81527\n13677 27569\n68506 84636\n57004 64453\n30499 50761\n45068 78406\n25333 41236\n41816 61201\n40955 48496\n67434 79389\n20242 51015\n20890 56966\n7209 18787\n32101 81264\n50805 70518\n56192 76412\n18786 93780\n3972 90419\n85314 91010\n16429 18536\n21567 84341\n19992 60645\n19606 79913\n17080 20524\n12802 99050\n11556 93580\n14722 50181\n974 43024\n857 23586\n46062 95913\n70524 76299\n9845 45995\n7109 7626\n16975 93201\n50878 96992\n10096 62803\n51961 84321\n58871 73929\n24770 87890\n25077 64915\n42868 58325\n28518 86621\n69824 77052\n2072 82032\n87959 90206\n31581 64336\n14156 45851\n55132 62279\n3618 89767\n87332 92150\n29715 77664\n54633 93442\n24094 99147\n52170 85333\n26790 93497\n85120 99980\n17252 82718\n66077 72993\n24331 85890\n52367 74926\n51008 80212\n3389 52986\n11974 66136\n513 18689\n14846 49796\n65419 77202\n11435 86697\n31356 68218\n63439 99354\n19671 75655\n8756 98426\n8368 31692\n57888 97703\n3615 97337\n1131 26480\n1543 70332\n8985 43563\n16284 40584\n10591 29496\n23274 69902\n5262 51898\n24412 79156\n46812 56263\n15214 48054\n5927 97337\n39784 41862\n58175 75100\n9590 70857\n42906 81593\n39928 89769\n20263 33560\n65930 91472\n6702 12403\n32747 87168\n9312 16673\n19433 72033\n2658 53239\n54335 99013\n4811 11336\n26877 76263\n73546 96133\n46188 52633\n4213 54352\n60688 77228\n14625 82002\n47685 48971\n30176 42664\n60597 73492\n88804 92780\n30427 63834\n36498 52009\n42703 64524\n24471 65870\n51742 88523\n10885 27030\n57153 70505\n22955 86483\n26244 28540\n6146 29182\n44614 69387\n9565 48773\n20630 80074\n23651 77634\n35089 92699\n4591 51843\n10475 94999\n7931 63145\n74316 93490\n59353 81451\n9718 56386\n8015 14417\n56091 89515\n27847 71950\n33084 52428\n36235 75491\n47174 75757\n12516 78928\n84733 86638\n55438 97652\n32051 83251\n34198 75496\n25306 60521\n29861 60867\n32956 59102\n22087 88490\n42507 81939\n47522 88024\n24929 69795\n30483 58748\n45590 74602\n17361 76429\n43665 80001\n67216 99095\n45038 89289\n1047 42075\n2182 63636\n64688 66877\n33425 44723\n3465 8668\n33522 99047\n2759 30991\n33007 74094\n44565 93280\n49021 49230\n34267 59041\n73364 81290\n15632 54287\n32206 74159\n44897 75309\n15687 51815\n84664 87649\n69565 93099\n32042 91358\n6108 25883\n14112 20923\n22138 88441\n49897 86772\n18784 74712\n82647 94128\n39409 99243\n8887 13033\n61648 63391\n47185 58260\n6090 40637\n68641 73558\n10284 23090\n10814 70231\n11555 24244\n25816 36401\n5563 35302\n12286 27342\n51111 52246\n47904 98370\n27346 54481\n71267 91603\n36131 71846\n45929 64402\n17477 98634\n28421 30130\n9742 51175\n41574 99891\n41368 56107\n64933 93543\n61058 65419\n30290 89120\n23713 67973\n67910 81394\n4257 52732\n44034 69362\n30424 59929\n46253 93279\n36579 94910\n50093 88266\n28195 49929\n67817 98803\n34403 66524\n69743 87660\n78267 84968\n84952 90240\n47821 93299\n11571 79673\n36229 96873\n20938 34577\n50279 63077\n40404 40893\n54659 66910\n60115 65805\n19928 76142\n41794 84623\n34115 43651\n68154 89459\n42017 66922\n31101 97197\n38531 96656\n70322 92562\n21667 86419\n5374 49691\n33516 98975\n81745 96210\n54882 84561\n39983 91163\n7303 9169\n9937 74397\n31936 52016\n23708 94058\n22456 31344\n39437 59647\n10022 77947\n76337 88442\n35277 64108\n40391 43549\n14931 90984\n12647 13808\n13816 20022\n13450 62811\n32700 93630\n14480 26681\n32533 82517\n26630 89348\n66689 78507\n30541 72594\n69396 94689\n13886 33865\n25713 27926\n47430 68824\n68943 85696\n41510 98784\n13649 22242\n28638 57838\n33581 45616\n24618 84429\n12672 14488\n35577 53087\n47874 88735\n37782 38613\n61255 62305\n23900 74812\n12001 83042\n52159 72506\n25820 46628\n25931 85755\n63261 76122\n5504 67869\n18898 61760\n33672 84499\n13985 38796\n32424 93311\n22666 48553\n62525 87538\n484 36496\n65229 82461\n18355 44737\n14200 22691\n44691 68755\n38354 62133\n1139 83201\n10496 33453\n33191 39946\n20734 65285\n47861 78290\n70348 99379\n9161 27830\n34367 44844\n75133 98243\n1507 62795\n54537 56568\n77277 78380\n10931 88094\n7408 46069\n26548 75294\n7262 93744\n71559 80280\n56269 94658\n38012 93151\n29030 53704\n17373 70089\n69403 97534\n9132 80194\n36009 77215\n8453 34659\n64489 87167\n14808 58559\n82240 94152\n57970 63038\n23137 31596\n5009 80870\n26378 60382\n70186 87943\n60125 79436\n23209 74425\n37306 53693\n34801 60977\n21771 71633\n35407 53391\n76446 81247\n36793 85794\n8007 10150\n64670 76544\n70641 72342\n253 89623\n7401 20520\n7222 86945\n11826 19488\n45755 90496\n16185 55550\n29683 70781\n10832 79749\n27019 90549\n1648 60427\n48623 78671\n14637 95437\n54012 82254\n33779 96408\n37865 57507\n62352 80165\n27453 52447\n22103 41945\n36005 76240\n12908 84557\n46411 78456\n19358 34556\n91400 92846\n9621 71027\n15157 70012\n65726 78472\n50166 95040\n43921 94048\n159 49399\n80771 95775\n56410 91080\n2269 31031\n82014 86109\n5554 94491\n10962 13998\n416 93485\n16739 70089\n46777 66831\n53808 78182\n15630 29899\n21822 49513\n32449 62409\n63088 68255\n12177 83124\n82320 86462\n19212 62068\n85467 96681\n50488 69243\n23994 31051\n46318 64218\n83908 86616\n13522 73420\n59092 81390\n14117 49206\n6513 67870\n32704 81472\n94337 94706\n26060 57269\n54121 66643\n23900 73627\n1498 33147\n23482 34478\n31583 95647\n4144 24655\n25586 45588\n9323 57799\n1894 32702\n1163 98786\n1936 34134\n20746 67220\n61485 71122\n80553 82127\n23783 30775\n567 69825\n46473 82128\n17143 48665\n54133 68183\n2210 54704\n8735 29733\n4201 39882\n10258 26576\n34581 50292\n320 79015\n63080 67995\n85748 90012\n16500 32810\n19348 58275\n8382 39196\n9304 44119\n2944 9588\n70176 87300\n58130 79233\n32121 68610\n34439 74640\n23771 90241\n37236 39468\n5838 17957\n8581 70777\n5179 8149\n41582 82530\n17402 17897\n35099 52700\n9636 58409\n32543 45970\n30642 86362\n85555 96064\n33972 96493\n16136 99121\n73059 95664\n21271 93193\n24422 35098\n20280 47812\n8799 20712\n201 9812\n20346 45914\n24581 69512\n26309 97953\n20274 64939\n77028 82843\n32141 60032\n33355 77537\n60380 68382\n28169 64554\n8163 88657\n25560 99186\n21466 45890\n16232 76692\n12389 65418\n56137 94324\n46163 67997\n33328 39728\n16177 17078\n33828 51443\n25788 58166\n36321 66005\n49197 58906\n7617 36856\n38723 89407\n51673 53147\n99206 99299\n15896 64543\n61045 66362\n5054 58213\n22831 79342\n58525 68685\n33599 69476\n9019 36303\n30363 59540\n7771 68572\n29481 66117\n44035 59499\n62188 90603\n14130 47465\n31896 46918\n31097 60266\n31016 36909\n33560 63135\n3597 86756\n42475 78173\n34732 93630\n4472 93103\n58294 97470\n31666 72680\n24503 63480\n52793 54210\n15129 67278\n30772 85805\n51271 82675\n226 45107\n53689 58403\n21314 28980\n4123 7762\n39131 74730\n6291 67448\n32062 70691\n38380 45150\n34201 72597\n14143 14555\n17391 19691\n6910 19264\n14680 71210\n1075 37598\n64130 67037\n61405 61768\n49038 70180\n19993 36390\n34481 39578\n51949 82219\n1425 77383\n12605 46418\n1568 77797\n70519 97334\n3629 53687\n45855 82948\n3274 77534\n8143 26534\n52637 80588\n38829 84347\n32255 44081\n28794 85692\n68303 94062\n13963 68159\n23586 27687\n7053 86881\n32563 78473\n33616 93842\n12178 87090\n27955 44243\n10010 78179\n12200 86847\n74085 98909\n5454 94422\n563 68142\n9023 61718\n3074 82936\n74937 91177\n45767 70469\n46228 60333\n60251 65667\n16555 17333\n30087 33222\n68178 70310\n38347 39234\n44871 83894\n26994 70886\n55397 93943\n740 44165\n18283 75375\n16396 79558\n50227 80056\n13020 58021\n23393 73411\n11929 52414\n17216 38503\n23605 50358\n35879 70328\n10127 23221\n61966 74438\n60124 90859\n12918 68247\n6316 43713\n14689 31983\n37417 49972\n32375 49152\n11661 66632\n62902 85532\n2855 38061\n72089 89467\n47329 63747\n85299 94959\n88646 96247\n43767 86409\n42994 69067\n61524 93604\n50919 54798\n184 34810\n31272 98820\n18793 79681\n66443 87666\n12159 84614\n10478 93048\n46873 83008\n15196 44097\n153 83308\n31958 39898\n16940 36297\n10592 88344\n33216 76224\n65653 88962\n39985 78628\n56569 85319\n26587 58132\n64223 71278\n86921 88211\n7824 15087\n20359 76068\n19325 68675\n39702 47752\n86717 94993\n44284 94409\n13212 75763\n55032 75486\n79789 98565\n11712 20496\n65444 90761\n25961 74465\n33881 80765\n30543 91051\n75787 82080\n48808 62251\n32780 51299\n49173 85139\n33329 65387\n13132 53647\n33196 63306\n15440 55145\n11649 17939\n24127 79815\n74916 76761\n56662 58071\n33838 40388\n25903 56280\n92348 94321\n22559 83949\n43446 78090\n5696 46263\n30332 52821\n28116 47803\n11293 80940\n32264 92873\n70912 88969\n74449 87679\n83455 98109\n51195 79600\n24219 84247\n59062 80270\n37359 88227\n57054 61297\n2288 20086\n10573 66527\n72139 84230\n43389 73379\n18069 44835\n4031 58622\n20685 31679\n19202 88697\n2401 14807\n7697 63649\n31759 41629\n1332 89052\n29505 63858\n16975 43743\n25347 35565\n8099 43528\n6197 27166\n46954 56875\n68761 84404\n23614 30471\n26401 45359\n6667 65179\n58303 65942\n28710 95359\n189 30832\n27798 70450\n53543 82528\n14810 87365\n70115 75953\n44619 97066\n5180 72416\n20118 23973\n96184 98091\n71492 72016\n6572 16160\n60370 78363\n37841 72037\n40915 49158\n32407 87262\n43180 45668\n84024 92274\n65313 87509\n37751 90644\n4948 66404\n49165 82720\n14418 58710\n64724 99127\n70 23684\n10659 67464\n23785 24485\n24313 95742\n83890 99948\n50260 87291\n2946 80382\n2132 22984\n9168 16102\n13287 51150\n25244 43437\n735 91721\n5147 33366\n4655 45015\n23304 98933\n30392 80441\n12469 31791\n23259 81618\n48979 90532\n41209 45412\n25353 70329\n15723 27354\n42883 53877\n63109 71435\n31183 63628\n76603 96936\n68908 69591\n34772 47078\n3054 85740\n28092 88602\n78730 82435\n32054 71580\n1125 41470\n33278 42057\n56036 87980\n44001 50130\n14423 85837\n6482 45003\n16507 96149\n45596 59035\n19662 68210\n16531 26921\n17132 96692\n11332 88945\n3393 90215\n46998 89412\n7105 39485\n22871 77752\n41143 86653\n1520 46360\n70259 89827\n29635 70937\n68483 93270\n35209 95870\n10767 92029\n25384 46762\n23092 79515\n81114 96242\n45872 55815\n44653 94444\n81926 83413\n27417 47012\n63166 98411\n39107 57486\n19297 57328\n28074 99827\n9279 52442\n75918 76764\n67027 92884\n32922 89503\n25695 94223\n17278 20625\n4958 78020\n35300 77362\n32531 78603\n22441 31303\n23822 48736\n33188 69281\n37989 86734\n28007 56842\n8293 94158\n28336 68657\n21760 32523\n49464 59200\n40339 72888\n9211 61925\n26206 72875\n61592 63745\n30191 82913\n2394 26242\n36974 72271\n2344 65823\n53971 81154\n78386 83650\n21117 60509\n28547 35604\n22845 46329\n1897 45706\n35904 81315\n39375 64516\n64457 72979\n64560 66731\n89817 97416\n14994 69828\n40615 54265\n43473 73850\n58007 98331\n23854 35787\n6020 94436\n30633 32463\n4247 18553\n22628 41874\n5014 77735\n5437 64142\n83681 85333\n22690 90356\n9364 68215\n55644 76790\n93267 93411\n19078 86007\n34274 39508\n64256 68206\n35593 47487\n67838 73626\n48534 70252\n43266 51209\n16284 38060\n54327 56847\n7329 40185\n16760 41844\n65946 75792\n12860 65423\n31960 65636\n53999 87420\n3785 40212\n11192 42177\n32162 96669\n16089 28373\n8745 23289\n49205 94086\n17324 29388\n19023 45471\n45361 85040\n25715 62717\n71121 95863\n40824 50520\n23502 48646\n34267 74589\n28584 98816\n62911 66970\n11611 28503\n66736 68744\n37232 68981\n85505 93538\n56790 76020\n20742 49333\n26022 35252\n16918 76870\n1250 34180\n5435 23954\n46027 96351\n4620 56698\n46370 80826\n4678 32260\n1257 68884\n53799 91017\n6512 12475\n13113 45457\n25493 27583\n77751 89074\n42599 48770\n13622 97342\n4516 24979\n3496 61888\n21166 38300\n10319 53270\n5579 93643\n41016 42028\n29891 62691\n35201 55349\n537 52080\n80162 80166\n12165 57735\n21379 57491\n27377 57208\n59933 66066\n39264 45688\n55967 64149\n17126 35785\n40047 54587\n38957 73668\n82209 96259\n5973 79509\n84026 97928\n72214 88341\n28510 71593\n40874 61561\n49522 67438\n11729 58600\n26825 50713\n15206 92552\n71083 92370\n54660 77235\n41189 87288\n76844 90176\n15774 46655\n34415 52435\n88584 94631\n79381 84117\n68184 69388\n88921 97492\n1120 11912\n61194 62492\n3587 40930\n1624 93063\n39588 86800\n7251 40766\n34985 59788\n14182 87832\n58940 63932\n6160 17676\n45179 74842\n32305 71094\n31896 38401\n23541 89021\n69842 77715\n16451 36827\n40302 45300\n31328 33848\n46077 64886\n37175 39633\n27512 86956\n50614 85316\n15371 36685\n16320 91101\n70033 93478\n40721 98959\n21930 61768\n13673 98733\n64006 87206\n8393 39340\n26228 39427\n19037 38497\n12250 29032\n36593 63861\n73257 92345\n277 66367\n34511 50619\n843 57636\n59026 61318\n45101 64183\n42150 75598\n59955 68061\n33011 89780\n77448 91861\n74133 94388\n34918 47076\n16826 54724\n10398 16467\n45450 65229\n17668 78884\n73999 98885\n68541 78962\n27298 34263\n34177 45091\n24929 64584\n48657 97520\n25398 62175\n19945 64032\n65297 76788\n12705 16989\n43481 69371\n12237 87961\n29156 90116\n81716 95960\n16152 86033\n33787 37815\n5640 8286\n14511 67609\n13376 71035\n83296 98338\n59003 82616\n33926 48091\n1016 33335\n58673 62695\n98 21459\n2168 70535\n38235 85079\n12658 51108\n29858 92460\n4406 58431\n25938 68803\n75646 85261\n42593 98281\n17417 84768\n15593 19839\n29974 63795\n11996 66955\n50701 73537\n17572 43994\n67026 91686\n8984 12951\n17997 29430\n25321 47598\n2036 80556\n67509 93191\n53755 91331\n7928 24326\n48177 97930\n48882 65181\n38594 70420\n37765 43255\n38865 46463\n17762 28558\n31267 73179\n5316 79760\n2848 99247\n75125 79394\n14164 77930\n4659 91768\n31699 80589\n56409 94456\n64968 75571\n16851 54766\n27478 53382\n31335 72322\n82463 91915\n1881 63600\n24319 31783\n69262 88878\n24924 55276\n81855 93979\n31351 71065\n14425 85621\n39384 61288\n9515 19030\n28417 57323\n6447 24299\n87137 98653\n67731 87084\n65974 96155\n14242 59925\n34273 71100\n58639 92700\n25010 48129\n35513 47613\n34425 55152\n26264 37638\n52946 83950\n53977 72136\n64688 99084\n2321 34730\n55602 72757\n24491 51865\n22761 92131\n77442 78915\n72088 96686\n4252 6804\n4660 39275\n71165 82937\n41611 82525\n61646 78745\n61524 90838\n36423 96845\n85116 95242\n2311 49966\n49665 90264\n65569 65975\n51186 52023\n81687 97915\n3076 52826\n28855 46930\n3932 42798\n17325 47390\n10011 99060\n26551 45324\n18243 95263\n12380 67849\n35173 95715\n35498 72325\n1065 95641\n22137 50083\n23711 83593\n667 28265\n21027 75760\n10088 91694\n14396 62823\n34878 52341\n56366 82687\n43921 99810\n39772 51533\n5385 45294\n1788 46468\n8732 59847\n67710 77830\n79211 89091\n13391 22993\n20070 83554\n41198 94885\n14086 94096\n72912 91093\n26211 90659\n7393 84109\n19113 19882\n17073 49875\n1378 8116\n27810 50440\n704 21386\n22323 98746\n44991 75013\n85473 92319\n53750 91086\n32617 69770\n85034 85255\n13251 13535\n4799 99874\n50442 77075\n11612 87444\n80033 92121\n89243 94428\n6127 81083\n11184 41164\n5969 13519\n23830 83225\n33753 85392\n70750 90767\n62395 99968\n6094 74472\n38907 52760\n56565 99045\n10750 73212\n4758 22821\n39732 74640\n76928 97919\n25875 70443\n9787 67535\n24438 45841\n39677 90665\n13565 38428\n44420 73014\n14036 63756\n87852 98739\n42493 58612\n1989 41384\n20939 60643\n82821 86523\n32741 66531\n10482 79761\n34793 47561\n13920 94497\n15141 29531\n54882 69178\n19914 49674\n14939 98151\n13994 65814\n35750 56298\n43165 96507\n28182 32196\n16669 94675\n83088 91984\n9231 11523\n26579 30951\n11372 58454\n6863 49173\n53716 77487\n15348 25563\n9382 92154\n7123 21533\n33271 57948\n60097 65409\n4479 31233\n8182 11790\n2810 77864\n52563 84866\n23673 45524\n19914 52085\n54464 55453\n1320 64802\n52651 71507\n16818 50160\n17295 61179\n57399 74879\n685 70488\n4394 56633\n49958 64761\n4706 34324\n70080 83802\n91920 92299\n11275 20936\n92497 94900\n11361 23368\n19187 24784\n85378 87659\n5887 32165\n61031 73673\n34970 85238\n33403 41823\n33689 78657\n3120 79441\n11931 72394\n14818 28542\n21721 76809\n91909 93739\n37460 81345\n3263 96338\n70386 94837\n12744 53315\n33900 70057\n468 34202\n24032 42582\n17685 47402\n8076 32124\n33032 38894\n16099 95627\n12393 19896\n7787 57076\n25613 41656\n29154 89576\n1478 39387\n46393 72789\n21426 36082\n52366 61316\n43567 69448\n16198 95534\n44511 58030\n59265 75744\n529 26750\n25696 76289\n9057 41783\n18433 43091\n12654 54785\n42387 72220\n41729 72131\n50595 66714\n38913 81906\n31721 86921\n36550 94337\n45082 89593\n56049 84266\n16969 36809\n74 22969\n39580 48752\n91317 97186\n29407 63674\n8936 52982\n3299 7379\n57096 64092\n10890 39452\n4240 90371\n8109 32788\n21782 87614\n22700 94383\n8731 79332\n77128 81018\n43789 73572\n30237 42105\n3632 4163\n55874 96054\n28206 30022\n32931 98667\n41061 51029\n37684 95274\n65635 68736\n53227 70482\n8270 55457\n41725 93751\n27380 99486\n41744 81193\n12415 26671\n11479 80233\n62911 81565\n9223 37891\n17365 67847\n35570 71463\n6649 28687\n21177 22311\n41825 67043\n91601 98901\n14502 69360\n21291 34558\n17245 49258\n65970 72318\n56510 88540\n9890 85702\n13765 64407\n15181 99279\n65053 67558\n64968 72492\n35269 55345\n30199 47773\n1712 3082\n41286 42581\n21704 42705\n26967 77780\n41662 76550\n10910 16437\n54759 81896\n36587 92902\n31280 53154\n45980 99196\n1837 54715\n30867 98760\n44769 66035\n46007 86360\n56410 77127\n1264 36371\n6252 74916\n21081 40490\n21174 96411\n15077 18896\n30960 35021\n53072 57612\n12821 41162\n55169 96752\n93392 93609\n57120 63949\n8268 46863\n43263 66979\n14008 86797\n17541 24518\n55161 94330\n24168 59142\n49669 62405\n19135 33027\n25376 60904\n49187 88756\n34945 67106\n59915 79457\n8112 30347\n30607 37285\n49783 73029\n33997 35085\n84733 93668\n55975 76287\n44264 61250\n26478 45255\n3944 79802\n14072 92834\n71818 77996\n29451 32663\n46517 69010\n12122 79243\n15715 79560\n45363 98853\n47096 52765\n7313 80946\n62624 93152\n85198 95495\n59241 94910\n30564 65314\n71060 93950\n43425 54681\n48673 95512\n26499 74208\n4382 82235\n11409 59017\n8808 35836\n34757 89504\n64590 99904\n35771 50559\n76770 77460\n13265 71475\n60941 68020\n56277 72815\n68425 91865\n16272 66019\n69922 96758\n52845 92373\n31577 76470\n48495 76101\n6651 69488\n50598 64777\n1590 57385\n20078 94073\n32797 89538\n21947 93904\n933 67192\n51123 91514\n60913 92818\n4645 84877\n50349 73504\n2014 22378\n52579 67109\n47897 65000\n8326 52411\n14183 29704\n28241 87757\n25049 69033\n41558 77631\n17482 69571\n18643 30764\n70071 89152\n21281 42863\n35924 46427\n10450 45269\n16594 23075\n72748 75100\n16589 73932\n54216 76170\n43980 72632\n9612 74955\n4619 89444\n51969 59186\n158 23622\n36014 39288\n45803 93291\n3661 64419\n9742 21511\n388 76635\n33231 67001\n81243 96220\n19817 64102\n15662 80235\n3009 54590\n5931 75218\n36042 96561\n47749 76753\n49683 65801\n27734 66923\n11750 83323\n6003 93124\n45515 91622\n71875 73476\n8556 20826\n47170 69917\n69715 89169\n2766 65012\n42407 48809\n63794 80234\n48923 99696\n72136 82535\n39560 91222\n17908 42058\n26857 43676\n3085 64773\n7217 58941\n71605 97151\n33317 73745\n27095 32562\n25616 27290\n36798 76621\n39000 78806\n13700 74000\n26560 31535\n27774 30379\n2461 94748\n31475 81488\n69669 79150\n29942 58443\n60351 84604\n55920 84965\n21100 90666\n15355 82608\n7277 39598\n79311 91239\n3333 94540\n22523 78916\n3238 90564\n6696 87764\n22187 39247\n7626 21327\n42277 99436\n21258 37716\n76766 81761\n10586 89450\n40021 76960\n36155 81455\n3886 70409\n62865 80386\n18419 54055\n11279 80858\n42123 88261\n7564 83593\n47202 92005\n55828 85610\n61364 96236\n96056 96645\n82305 93012\n1015 76846\n26514 66506\n77335 98010\n13813 52386\n53151 68679\n14307 92969\n59151 60757\n11921 88820\n989 40442\n15994 24016\n18044 27738\n9570 58666\n35579 56830\n21939 47089\n32349 37111\n18798 21459\n6787 14839\n42785 60468\n33197 48271\n65030 75345\n1103 34264\n75416 94350\n18162 47124\n39021 62093\n42766 48295\n38583 58899\n45371 79557\n39745 42204\n13776 97780\n79562 86904\n27838 46922\n19414 36954\n63076 65820\n4188 64166\n33399 67542\n74239 87728\n50731 52751\n30373 46845\n1352 45595\n15919 52790\n40749 80710\n20630 77702\n33975 49466\n5884 72129\n48622 64851\n44275 70409\n148 78278\n72877 82573\n47100 71583\n2590 86188\n61501 92061\n42267 67880\n43192 82106\n22597 48108\n7515 22977\n31153 57715\n25253 68619\n21155 82481\n72949 73054\n14242 82301\n41866 99401\n16984 98241\n9523 37566\n11509 30716\n39520 90165\n4146 87963\n13974 64689\n14404 62781\n2938 74970\n4944 36424\n5953 32269\n5593 94012\n57895 86985\n439 88382\n14744 20711\n3241 43845\n11603 43759\n71385 76090\n42440 51962\n57265 71778\n65611 89298\n10669 90679\n12349 24367\n13546 59853\n6585 87332\n55902 67397\n9089 60452\n84986 85721\n26155 59090\n22977 70069\n31679 59709\n4971 67184\n17005 59607\n36855 94562\n9031 14039\n95639 97294\n4826 73076\n5356 47439\n9694 83722\n18163 45095\n76889 84437\n1317 63865\n55408 79551\n27618 35677\n51787 62683\n24548 80050\n42860 66095\n68046 88226\n52217 86704\n1667 54895\n24964 96517\n52758 71817\n2464 28477\n25612 76515\n30836 32025\n73999 85248\n19528 59354\n31309 48801\n38467 73358\n33758 76019\n15011 52305\n11305 86761\n1178 67958\n79903 82306\n16327 58891\n16561 33992\n37106 49081\n70755 95123\n27664 48778\n70055 98978\n12362 21872\n81214 82013\n3429 20758\n35459 75491\n44202 78764\n9461 78177\n37476 59750\n1176 28099\n42374 61903\n52150 53020\n65382 87806\n8642 83797\n57447 95852\n17012 22596\n73743 91139\n31838 87980\n44901 96001\n60847 68853\n30840 63509\n36395 38150\n1957 91722\n56307 62879\n38441 63270\n4832 32849\n42407 57938\n49214 66029\n2355 77812\n3462 30126\n7034 55977\n15143 34264\n23264 78044\n27988 57003\n36873 49406\n38925 98146\n67484 88343\n12938 23493\n33863 59052\n42811 51698\n19607 49416\n13527 58799\n61022 92581\n73357 81862\n3014 31262\n65508 90238\n13991 93287\n53545 92384\n29141 75105\n64649 96916\n87633 97722\n49577 99285\n40273 98453\n22427 28348\n46152 60766\n26676 84476\n69066 75706\n49745 81530\n61852 99583\n22109 61091\n66676 86663\n35872 98454\n36883 40106\n6202 18031\n32646 81676\n30939 50044\n34708 48093\n18831 81442\n30140 76705\n5262 37480\n87191 93452\n14085 53008\n60984 91187\n24748 60525\n2362 18546\n28254 44699\n26263 76947\n14489 74621\n49085 88601\n21981 94087\n29631 30608\n13269 64476\n46299 75995\n16777 65153\n19966 60475\n28131 77643\n53604 72633\n52919 56722\n59374 98570\n13928 99749\n6966 8605\n52021 61494\n3067 51818\n5493 84239\n36430 72045\n37174 86610\n41087 43409\n40801 66271\n22257 92479\n65435 86736\n54576 88702\n25522 65157\n88645 89518\n38703 89571\n28060 80013\n58158 98225\n50816 86185\n35674 54361\n44612 49968\n53004 64440\n38572 39407\n43804 97080\n33086 56051\n6705 83536\n17269 75651\n37749 80773\n31113 52166\n21611 58481\n38596 94630\n36415 39905\n26212 77509\n32413 63151\n15637 40975\n73619 83177\n13746 93902\n72742 89566\n42021 62151\n55736 64698\n5721 36774\n4247 88202\n24805 82542\n32165 97289\n15820 32498\n6013 18747\n69678 84022\n41624 59627\n45058 93500\n69893 76384\n43748 74843\n34206 93737\n56128 90704\n21632 82005\n19617 90638\n8067 33509\n50379 72988\n10596 74935\n28890 30530\n48841 93427\n20948 95510\n37395 97333\n13165 57258\n58603 88923\n29211 64701\n11596 94305\n84579 98390\n13569 46280\n43936 78658\n82007 96966\n86178 92763\n33241 85881\n10417 15806\n27317 77171\n51603 73076\n81648 88260\n42558 50796\n32022 98934\n19780 28569\n23459 40070\n63200 63885\n5793 15764\n34538 62489\n52668 70283\n3513 32317\n58887 86149\n66200 74984\n57642 64415\n3851 61606\n47892 74336\n80070 83023\n39032 90833\n46865 47551\n7705 84858\n33966 42680\n68773 80692\n17511 69210\n898 16228\n51572 67551\n11192 58664\n49699 79663\n37363 87326\n15544 46919\n9724 62999\n43672 88004\n47594 53456\n56606 69366\n15867 45519\n30367 41263\n62926 96687\n70953 91184\n88273 94886\n1875 88607\n78747 82821\n40907 71380\n79967 98076\n23710 70414\n11054 12086\n64193 73510\n44272 57880\n30319 57236\n67577 76158\n1626 69426\n62439 89220\n29099 55812\n40802 82925\n15780 28534\n64362 64656\n63169 80632\n5925 62141\n1718 98972\n13186 84224\n16428 57049\n10813 69665\n58673 89505\n52214 57453\n35816 61632\n62755 76482\n70361 85563\n66026 96852\n53858 88543\n4669 25995\n2539 20355\n11295 54804\n12448 99767\n3830 13103\n27053 96142\n36399 66898\n943 78001\n1753 15555\n60179 73539\n64730 78654\n18615 55955\n4611 91076\n59400 65515\n21037 83249\n70216 75775\n2867 92579\n6655 38016\n63340 77175\n4630 74910\n41176 48131\n36428 65544\n54200 68506\n13703 15030\n18646 81574\n34749 67487\n85320 89601\n8905 27957\n47316 59486\n61853 77462\n7065 47143\n9351 37121\n28043 75502\n53720 73649\n43284 58120\n72910 98105\n53166 72828\n5748 52488\n56336 97072\n80988 97483\n2120 97396\n51589 74969\n51094 91087\n75764 83206\n30963 60970\n23612 94758\n28580 31534\n75249 89934\n29168 41148\n29853 69611\n6229 73537\n5679 5928\n51031 81986\n2753 23464\n39532 54146\n29889 33509\n55977 59529\n7895 86303\n3945 48444\n31888 59152\n16430 91239\n61905 83540\n71241 74545\n74887 77820\n79171 95964\n9723 57170\n11836 47187\n26794 98531\n19904 73565\n51883 65721\n2624 18509\n86950 97590\n49633 57928\n50477 96444\n44123 89669\n28833 61421\n40690 85518\n62772 65044\n37836 67852\n37683 57897\n14509 80016\n47197 55905\n16628 90029\n61352 81760\n7914 28963\n26419 44670\n21224 73667\n26999 58303\n11835 81742\n34013 66278\n33723 75721\n56895 84496\n39025 91701\n55052 72984\n7606 76302\n3782 80571\n44928 61676\n753 62139\n34765 62889\n18372 88573\n39598 56417\n28647 79994\n35487 63534\n11813 22118\n52135 90051\n23664 62855\n18439 54653\n4968 76312\n9976 70764\n1136 90911\n10713 18211\n39035 44750\n8687 10855\n19789 94989\n60533 89267\n535 19830\n37387 55020\n6070 95246\n20197 89276\n50850 64479\n46504 62433\n27201 33979\n22291 52130\n50873 66307\n76747 95527\n34836 41340\n35939 61251\n49865 88171\n57437 85379\n1846 61020\n6957 12006\n20364 38190\n53285 59998\n28785 37453\n50409 69975\n42633 66382\n58808 63066\n24711 86610\n36158 99993\n42088 56837\n65049 90890\n578 30628\n34664 82389\n19990 29989\n6312 79374\n59571 93032\n30061 96056\n18386 24988\n25489 84184\n26511 30144\n14839 21450\n13405 69302\n9332 93320\n43640 50668\n12231 30371\n68146 86300\n18402 34348\n8327 80193\n43796 47991\n37036 59477\n31337 88658\n52328 91666\n68831 70137\n6962 29042\n27051 31147\n16313 71795\n63172 89343\n13152 42199\n11271 72970\n434 27187\n21169 88573\n27955 61866\n260 69613\n350 54877\n15971 24380\n66681 95671\n26427 44820\n73607 79046\n26621 94114\n19361 63522\n12982 45409\n33697 59066\n23985 26970\n81917 91860\n32390 36046\n60312 96458\n22994 53578\n24160 25370\n23304 98809\n85738 87057\n60192 86818\n11396 15442\n1861 62932\n21476 67955\n4061 49451\n26435 72758\n61490 68330\n46217 92184\n43694 85694\n10613 14276\n13263 64347\n14430 23141\n14184 25173\n27787 62296\n35107 94000\n19225 35308\n34305 81416\n51352 91807\n45033 58633\n20396 97689\n87096 88475\n20171 45574\n11743 92776\n15702 56595\n72821 99816\n47127 55686\n37181 69096\n71043 95745\n92159 94581\n30190 74161\n41204 58102\n76449 81357\n52307 93161\n47099 85311\n24215 74207\n15142 25118\n1807 47631\n15913 90855\n49190 96731\n59628 86567\n35164 71775\n67518 67765\n34401 99098\n76934 98496\n37755 70076\n68103 72211\n63910 81201\n2096 23553\n33544 81996\n35799 55722\n25855 77126\n913 79793\n11409 98211\n26711 60210\n65121 79409\n55679 85429\n49796 61477\n51851 75198\n19320 28725\n34206 69370\n12133 66323\n20092 27775\n55533 80825\n53351 62913\n22768 39183\n33458 72193\n81263 97028\n80182 84822\n73099 83925\n12576 48546\n8883 15025\n25339 56178\n17675 66803\n66737 97076\n49224 99788\n38404 57233\n4763 76905\n16858 64242\n35112 97180\n76134 88121\n70625 74415\n45358 80175\n47074 72907\n16515 42028\n20240 29515\n28245 79136\n55452 70289\n51556 52252\n26801 55795\n7531 47367\n9368 72314\n5882 54164\n10723 48736\n4894 32365\n66943 79623\n40629 62713\n2610 62748\n12117 51785\n917 95755\n34532 70982\n88290 97563\n40978 68343\n1517 32470\n49783 91527\n39514 77055\n40125 90568\n60281 90963\n62781 65443\n16303 31003\n34688 90519\n26937 43522\n19036 27250\n74206 98273\n59160 63226\n21510 38004\n18802 25175\n41611 88598\n42931 51012\n4029 77265\n45628 57686\n63813 87060\n54931 70364\n21997 90962\n32701 60829\n1028 43399\n55934 71385\n6632 30863\n647 19920\n53915 93671\n1862 22784\n516 79544\n80602 86447\n46398 98724\n9057 89749\n39722 57894\n27590 64171\n61868 80119\n25407 68932\n16128 76440\n2483 18599\n18208 45732\n18184 54162\n88246 90784\n11978 39547\n30475 45387\n43624 59942\n10674 96252\n8240 17340\n61967 98540\n8943 24038\n25217 41167\n10349 98152\n36109 86439\n18195 72180\n19092 80108\n14003 42485\n44712 62572\n8443 53184\n18771 72670\n6864 27259\n27343 74552\n52781 71291\n21597 83912\n7355 80153\n67138 99108\n52816 71004\n28026 33187\n49038 63294\n48111 64177\n16641 68943\n45527 72377\n37356 96986\n23112 65297\n61680 81728\n25863 52034\n49875 76796\n72545 94023\n6318 28082\n44410 83155\n34850 59535\n49913 99980\n7637 21056\n10494 56853\n33440 53572\n49380 58488\n58838 99733\n17804 45534\n22257 59936\n18649 79407\n9505 63968\n45932 96203\n82484 94649\n38790 77605\n55320 91165\n18487 98399\n61271 68038\n93147 96367\n57255 83281\n40855 65024\n19940 38958\n6339 35711\n32713 47220\n24026 64071\n30811 66866\n58172 83102\n32136 71256\n17623 56018\n32927 42535\n62499 88921\n17757 55210\n20562 27379\n47015 60394\n35253 59901\n64586 94734\n72146 94004\n62468 88546\n49753 98836\n96499 99621\n20253 41259\n9430 79125\n30153 49459\n35773 80478\n26773 27956\n4436 64486\n19339 26817\n228 10573\n46009 84386\n53850 91943\n9786 48378\n73161 79960\n48213 59616\n8168 18556\n11581 59381\n63009 81453\n5632 85994\n67207 85874\n59033 94521\n60542 83679\n56279 86458\n6208 21821\n61468 91038\n29605 65887\n2313 86513\n36743 56372\n550 28627\n16746 72290\n468 44112\n40350 80445\n46765 66584\n77464 96750\n20096 68645\n1756 2973\n2682 38327\n55569 66699\n28915 48403\n18056 26803\n33218 60997\n61595 83290\n87405 98904\n43972 61137\n35356 51306\n16456 59923\n71849 86337\n31954 99801\n23628 75433\n46938 69995\n5275 98136\n20289 38911\n30617 87938\n18668 60568\n3545 13346\n16978 54618\n46328 64153\n33485 55668\n34627 88826\n21879 63572\n44870 86777\n27209 38074\n64149 66717\n46230 63985\n11682 73032\n64221 71405\n18874 87330\n67160 73183\n5219 45613\n2885 29014\n52728 65839\n1833 10032\n7708 99113\n46099 47871\n7486 36710\n31235 52129\n18237 96480\n10490 35231\n26116 28463\n7620 77558\n20772 63796\n38967 79538\n23293 38546\n52322 96809\n24682 75785\n9187 78967\n51476 63378\n29309 94934\n20038 93982\n15762 36526\n13200 96913\n17650 77056\n9992 70735\n22039 27201\n20859 23727\n35157 54143\n52393 78935\n18812 67593\n12256 67567\n5954 82857\n44438 81639\n56943 62719\n54907 77561\n42085 68444\n48087 93756\n40027 68301\n13591 79192\n5092 34933\n21136 86177\n27990 97262\n76650 90586\n25062 40852\n69671 71119\n29576 40908\n36199 97791\n3361 11385\n66264 75885\n8730 14255\n72560 75122\n48736 84682\n52604 72910\n9974 38099\n21659 95648\n67251 68642\n54191 85477\n70837 87122\n56819 80252\n12834 44199\n42686 84778\n30450 58781\n41288 44872\n9291 29925\n3755 43620\n13736 85949\n3168 23405\n55306 75272\n38457 67608\n37515 80966\n3636 19892\n38775 72486\n15225 61282\n3161 53369\n26410 99862\n4941 41603\n5731 70001\n63217 76251\n63534 95851\n23259 97093\n43440 65050\n21430 79863\n42576 93847\n4156 32818\n43083 47419\n1751 51247\n57368 85575\n29364 41919\n41869 99137\n43593 69568\n25246 38745\n65290 94081\n43566 66933\n41239 80898\n73825 85880\n53014 86687\n35107 38802\n12714 75845\n24724 87485\n5465 35436\n47399 71282\n3883 30535\n9505 38857\n17613 77222\n45882 68262\n59997 62857\n9683 85589\n75329 98827\n39188 58888\n4406 31221\n51057 91732\n96295 99017\n24244 34074\n42802 48598\n73826 74906\n31733 95380\n20459 30310\n22097 40007\n17368 96560\n36676 43371\n14843 47198\n26159 90944\n45273 90141\n8064 8354\n58991 89333\n14034 94092\n15520 49721\n39901 44750\n25627 82216\n35048 92813\n8838 30303\n48019 78243\n17110 42884\n46594 86225\n7804 15464\n37764 54811\n5941 55724\n17939 52274\n35133 54030\n11427 31887\n7904 60444\n7259 61401\n30387 66645\n14225 53656\n43125 91767\n35036 76539\n11449 82753\n12492 78194\n20644 35482\n69466 92736\n34590 54441\n16204 25700\n80016 81348\n34753 80669\n1608 87193\n1041 14726\n9790 60795\n319 12131\n88205 94372\n47185 88663\n60541 60830\n16509 29523\n20415 76943\n10253 50818\n32368 53861\n78822 86557\n14559 89065\n33948 57739\n20124 20458\n73266 89678\n63675 77040\n6730 24879\n2830 3482\n23652 91534\n12300 81256\n32485 94144\n46764 67651\n6909 53419\n32092 59308\n49077 58168\n28098 90052\n26388 43570\n23585 60480\n32663 65283\n37228 39607\n8950 40724\n71634 72268\n59905 63967\n71530 82718\n56801 96491\n5893 44707\n81779 90332\n17485 75081\n77526 85200\n67495 90838\n45228 77018\n45616 83392\n69762 87557\n3942 49303\n6274 31798\n12176 14522\n53931 55573\n2976 96955\n9968 30049\n13214 61729\n40825 58364\n578 67616\n26993 35573\n4032 57591\n53455 60267\n72012 89762\n61734 79260\n49962 80627\n42922 61832\n58879 99542\n2560 25502\n22597 43098\n39203 92236\n23896 45799\n652 97909\n5442 66981\n28246 87206\n78588 80910\n83352 97430\n26215 35804\n6624 89250\n38676 54045\n32877 96296\n10210 37630\n8980 98146\n7285 7616\n8436 26909\n4281 84291\n56838 83517\n19457 89743\n79015 84917\n20671 97640\n5481 97539\n198 9614\n36111 98450\n42806 59477\n42445 58309\n15824 80702\n29312 73395\n41758 90363\n8813 84936\n5224 38361\n30646 37650\n40411 75434\n48822 94131\n74782 83747\n51271 99401\n28660 30991\n24523 74361\n30332 63063\n1392 25343\n42773 92520\n13226 83337\n2006 37258\n57139 91333\n15107 48411\n16190 72167\n79232 92495\n16651 34842\n28719 61034\n14392 34485\n16550 95975\n19983 30273\n34608 65036\n8340 36143\n63777 92096\n54513 97270\n68300 70988\n36588 77746\n21263 72466\n9523 14089\n3373 42109\n9907 34864\n67224 83582\n11337 26423\n28188 62694\n31779 33353\n15498 66626\n16102 23124\n4223 81359\n63892 83142\n7582 94554\n46231 93059\n10880 60356\n29440 49031\n66404 96093\n1599 49027\n94664 98128\n45038 98631\n5638 12303\n43352 95171\n41055 87112\n69001 75153\n5567 75597\n32027 91171\n26696 89439\n5743 81168\n37939 80065\n53038 72032\n3367 7846\n12388 36753\n40285 41040\n25492 91811\n28827 79168\n31078 46812\n87196 90403\n9032 15985\n78189 89155\n77875 86139\n54159 62196\n8690 88650\n13024 99334\n32095 69783\n6627 72029\n905 1887\n9531 50296\n69495 82494\n46457 58527\n21754 69721\n68229 86121\n23172 35992\n16955 45462\n75934 86912\n30242 54594\n66009 92995\n39244 71143\n29969 94935\n67293 90589\n63212 86989\n38587 89701\n1990 11805\n20046 71907\n2476 11166\n5606 89310\n87652 99584\n146 71782\n17992 63998\n73795 79413\n3778 10341\n26848 77743\n461 70788\n70858 81763\n56761 87875\n53631 64109\n29073 58348\n32666 82721\n54115 97692\n3157 11004\n8592 97680\n35181 49291\n17241 46075\n62880 69742\n6410 51874\n8860 38730\n5828 75754\n34307 54824\n10213 39778\n55198 99701\n23052 77953\n8955 23900\n1854 98445\n14088 94226\n13553 94787\n85095 85713\n46942 85533\n2357 89765\n24085 49550\n29746 63549\n54414 70507\n21989 44984\n41847 82813\n71445 72675\n29014 84968\n47588 62010\n51224 59656\n16095 17640\n5037 51797\n93867 99438\n45856 79192\n24901 61054\n19705 75339\n36072 40252\n38767 99071\n42026 80239\n55168 97697\n43832 55764\n12917 54041\n23651 71789\n25039 27494\n17698 96147\n34502 78145\n63917 88887\n20073 49286\n33436 73800\n86115 87679\n47864 56372\n49549 91576\n31429 92831\n24211 64485\n58469 59645\n17785 65632\n55941 86879\n4108 26121\n25933 78310\n28262 68034\n3201 27017\n48615 66757\n17401 36755\n52332 81280\n7148 39796\n1664 93914\n7689 93252\n64295 87698\n52103 94989\n7321 72576\n15835 22527\n64382 80215\n44426 96514\n39856 43229\n70707 88505\n7131 14648\n35757 79498\n32371 68417\n85163 91075\n49328 71149\n56119 68252\n9914 64127\n859 62189\n29717 78424\n19881 80671\n21672 87545\n14098 36894\n80592 99263\n17855 72655\n16935 92455\n74927 87346\n12285 18156\n14461 53364\n52661 60555\n39589 70351\n36354 49036\n45834 71189\n17852 38283\n50070 55036\n2226 46665\n71312 77808\n22469 88800\n55129 95847\n14835 42623\n9204 92330\n34743 43142\n82734 89156\n55136 58030\n47064 69256\n91147 91839\n25907 57711\n41061 52144\n22481 62267\n29200 92082\n20561 32212\n51716 69089\n79903 85213\n6125 53740\n55899 63521\n47030 60942\n61647 74164\n11595 14400\n17103 23994\n12243 75333\n25995 28715\n52841 54948\n7897 27525\n48932 96892\n5920 54999\n41013 95512\n50992 73270\n42447 71532\n56443 63334\n5386 52249\n74485 89383\n58622 95461\n35112 94306\n27948 33231\n89315 97111\n2222 6263\n1252 67918\n43942 99801\n51150 72634\n44336 69429\n2318 82538\n3182 44217\n4188 81010\n17969 91371\n26050 34622\n14398 86379\n44453 69347\n75125 78644\n32076 97408\n7058 7350\n53033 72201\n7985 93728\n11900 72565\n55494 67366\n15389 20635\n6399 92930\n25260 68448\n79592 89250\n55132 55456\n42192 99121\n21115 23446\n29432 92015\n51637 84606\n11403 25309\n10732 62880\n21608 92589\n59423 68839\n74930 94725\n32791 66083\n27660 53680\n267 79579\n62575 74340\n64197 91091\n38170 55439\n1856 63261\n1577 49507\n3247 40488\n30824 71061\n5771 12954\n9937 89913\n50562 97597\n54800 64638\n30024 79429\n10328 60707\n20270 90205\n77949 94140\n2521 32852\n628 4063\n19382 36735\n11129 50169\n12173 93215\n36075 60164\n39391 70437\n13333 25029\n72602 89648\n4707 77191\n49198 58785\n55123 73883\n20018 80734\n17125 94636\n88090 98289\n16419 50389\n3176 85732\n27810 68977\n81871 84103\n334 67466\n30729 95488\n26291 75681\n62458 78603\n3293 7340\n75280 78704\n16948 27470\n22832 38735\n54865 74274\n22943 76110\n31937 65455\n28828 29016\n33830 69233\n56625 64729\n61955 84063\n31547 42372\n65380 69742\n60541 68703\n93631 94892\n48007 65184\n4213 67612\n27028 67083\n50001 95781\n13779 53441\n35386 63052\n6175 67038\n25912 34837\n70054 81418\n62226 99726\n29731 53033\n3640 14542\n80567 93460\n20681 76093\n1099 41651\n8148 11198\n7079 45313\n5770 81772\n16138 51170\n43751 92232\n5183 65232\n37464 94748\n8357 67857\n16994 40097\n36043 91335\n25008 31789\n75605 99262\n12459 70743\n1097 14599\n5301 84481\n32596 62658\n37955 85559\n44279 52304\n9768 22148\n24961 48066\n85512 97899\n15483 19509\n35465 55911\n17280 22887\n31623 62889\n1871 91002\n13034 75614\n20655 28176\n70114 81153\n6088 99190\n30917 57103\n25097 99486\n7686 45733\n75549 82264\n42070 70195\n34295 57787\n59846 62077\n33168 90651\n73783 82953\n86341 88344\n8966 46025\n10583 28879\n13915 27732\n51396 73420\n43147 98697\n80161 88970\n20937 89407\n14562 30128\n4017 32273\n34507 93614\n60360 94708\n18202 80996\n19677 78953\n21255 95635\n6659 41459\n75090 82512\n74204 88571\n56501 71608\n40404 97190\n1879 45261\n59715 66748\n28656 42710\n21012 45278\n55691 81768\n72972 81495\n29688 71381\n14145 64765\n53767 99137\n7442 19830\n36114 73236\n8216 40067\n19217 91975\n11191 28114\n712 1311\n29280 91366\n33577 97030\n5461 14329\n58845 60157\n673 95607\n4937 12805\n16653 98459\n62359 99292\n30134 63436\n13480 87548\n17804 30796\n35826 48059\n48620 80816\n2610 71211\n26685 42134\n47235 47652\n4576 10644\n27897 28507\n21411 78178\n9832 99208\n2055 86692\n10079 75411\n20271 63328\n20130 98567\n2184 17622\n11848 35815\n34023 77854\n24443 35827\n11069 29480\n4797 76118\n34180 52805\n58615 91732\n3208 28281\n28487 95944\n7187 13046\n2483 46777\n4918 46679\n43938 64714\n24230 53062\n33454 94897\n39846 55667\n28480 93777\n10070 57639\n56433 82130\n51125 98666\n5755 99407\n41482 58650\n1845 63857\n25443 69108\n49174 58702\n29468 32358\n8748 97873\n14834 44425\n265 46913\n12150 51754\n14839 35112\n49406 99475\n35224 55865\n2649 60707\n63350 98505\n50274 72153\n88217 99730\n54933 96006\n1303 81978\n58402 64048\n22745 70485\n36908 43014\n6704 6763\n24754 59664\n4480 50722\n41873 59484\n3268 77731\n9447 54793\n11800 67347\n13686 63595\n25380 61223\n11353 31355\n14806 59833\n7545 29834\n64470 98195\n16524 24257\n45858 46273\n43508 80926\n2165 74807\n59815 64078\n23618 63470\n36247 43133\n15974 27779\n41412 64204\n54539 99253\n71840 76508\n40189 99633\n13207 93827\n35099 40848\n10776 83920\n1858 13469\n3553 33764\n3920 96839\n49998 69235\n31380 43775\n50833 72931\n47791 87948\n35759 83502\n29447 83611\n25441 68083\n5685 24771\n23095 92208\n29970 85578\n57404 69147\n58033 91887\n51987 58850\n33674 42414\n18092 41670\n3432 17132\n86668 97359\n47753 78244\n16453 73441\n10820 36552\n15891 79716\n4328 41097\n62673 73515\n38458 51714\n20987 93588\n37036 75819\n28780 85235\n35051 74345\n17269 50748\n14351 46501\n4761 44238\n60392 98007\n9741 98986\n455 41206\n52257 89082\n13810 59539\n51498 85161\n71636 82818\n15553 68612\n72818 95021\n65071 79907\n82917 96377\n36121 53251\n46353 79447\n32503 45645\n1098 85304\n16506 69077\n92461 97418\n10366 32991\n65710 78085\n9827 98434\n25382 83324\n3318 55777\n2999 79971\n5685 53512\n17859 84796\n48906 73414\n94425 96618\n33680 44245\n13406 75015\n54021 74945\n8926 60617\n39668 80973\n48346 60308\n53537 60702\n59630 72758\n34349 46925\n70432 96099\n46332 52234\n38655 47268\n58628 74438\n13411 89116\n2949 60253\n65371 67278\n3709 57763\n51935 93974\n7163 31374\n29096 45401\n50183 87533\n46863 50814\n67501 99963\n16435 93775\n16960 38359\n28295 35932\n64249 78486\n60004 70154\n80348 89683\n50725 98976\n81752 82628\n41579 63278\n52990 87965\n42744 94086\n18287 39969\n33716 40746\n19934 47327\n2423 48389\n3662 35973\n82567 96189\n13228 15037\n65201 98861\n8597 60808\n56114 70153\n31818 98177\n23327 99971\n20598 73713\n24470 40800\n21397 63332\n3313 70690\n3051 89471\n35763 99063\n78722 83350\n4832 14401\n18369 36701\n23045 45011\n8091 79135\n2027 43649\n8491 42798\n37976 89521\n18384 91324\n44565 48211\n9796 24353\n37684 63256\n72154 75118\n62678 63672\n35184 69233\n9228 64864\n53871 74089\n4057 35031\n76662 85524\n13925 76855\n55935 67434\n10241 99204\n41245 58732\n1518 82439\n74004 99964\n14834 18572\n46343 65987\n60378 61455\n17926 63113\n33518 41413\n63795 95288\n18836 95131\n46390 70983\n27651 71188\n10242 93473\n67309 86781\n9072 98416\n54017 78801\n5129 34254\n29144 75249\n20573 75869\n5623 97650\n31821 88914\n67236 86702\n14847 72443\n46455 56192\n68941 79609\n29913 83281\n14248 44266\n16412 69608\n27143 49916\n11721 52099\n63586 68451\n4849 9300\n5186 99675\n26954 91003\n552 32741\n70149 73688\n2985 15398\n22963 64862\n8110 27388\n21756 99246\n36585 78103\n21353 28008\n41615 56615\n34539 85131\n18377 23455\n31981 66482\n10002 22555\n3346 72898\n35960 70512\n75448 87726\n5499 67229\n47453 56957\n37020 70229\n25828 68435\n75032 92344\n46853 95855\n31935 51350\n86966 87697\n34670 99356\n17482 73641\n29699 75772\n39493 52205\n69922 88522\n1009 6690\n20852 35393\n39307 79527\n47053 50461\n12593 19764\n43885 71638\n231 63077\n62093 66977\n70821 95459\n10391 12061\n13260 94854\n3022 60572\n42011 63737\n50041 57626\n12798 20971\n23511 30350\n6208 21842\n72278 73667\n17783 23743\n35654 69407\n29904 54022\n75907 83021\n10479 50172\n57222 67233\n43297 54111\n39843 83026\n12305 31603\n44010 47153\n34005 41754\n16971 25904\n81278 89654\n46770 61125\n9679 41327\n42651 66179\n28748 85430\n38516 64124\n45297 68772\n43007 43186\n13997 70099\n23974 68810\n18352 93158\n25690 99259\n66917 91751\n8977 26877\n4945 29162\n29940 74531\n1360 74740\n7884 14242\n17391 20695\n55079 68175\n23602 46893\n45418 76788\n18616 99990\n52414 55794\n4434 88868\n23392 32995\n14769 86324\n19418 77046\n23242 81602\n60056 95534\n8004 59233\n18136 20081\n1300 1342\n26146 97461\n47703 87014\n73313 84215\n9590 70096\n16766 46719\n39279 48152\n26910 99086\n80375 93448\n45787 91110\n72971 86474\n40117 51288\n13943 27895\n64326 76097\n16972 81688\n5670 42195\n74474 89435\n56418 93099\n3843 7961\n51178 78685\n9282 16821\n25455 84184\n1606 74218\n11919 53346\n76215 90695\n36419 78301\n22200 58693\n69569 90555\n9867 23772\n34292 44933\n47207 98842\n39266 81412\n9976 17548\n23092 37225\n13622 51698\n56401 82706\n3753 28990\n82806 91211\n32178 93693\n7246 75043\n58422 68466\n3856 43047\n32478 74972\n58272 88371\n47456 71142\n18211 81941\n67405 67463\n95186 98111\n6159 22118\n3634 75843\n6789 56130\n12147 36866\n26002 27901\n46914 96550\n67805 87108\n7090 81032\n29214 44456\n31695 94479\n38235 71441\n82424 94599\n29583 59422\n5931 63432\n35591 92758\n2960 68356\n12443 72393\n26858 70763\n44266 95577\n721 18553\n17516 35384\n2602 86848\n61206 65624\n19956 67670\n13258 64827\n62676 67921\n4971 17767\n2302 97981\n1244 51538\n25507 77180\n22250 41829\n7332 89655\n50644 84715\n60364 96847\n41698 68531\n53498 56361\n27240 96990\n6936 14090\n18853 47298\n5539 76736\n35144 69268\n51766 71344\n63749 95158\n53578 83136\n20741 43340\n59973 93596\n90159 99861\n81469 95745\n54895 79483\n4332 8512\n10156 83674\n11656 33895\n6265 13228\n7950 95700\n24239 55519\n21237 66135\n46736 50042\n47740 74835\n30274 46471\n9101 27296\n94315 96463\n17752 81651\n13925 49121\n15368 34075\n4273 49815\n21947 33404\n22105 99689\n22312 66976\n49779 66560\n20211 68996\n47497 67540\n29901 29907\n40300 79529\n39161 96433\n7955 92525\n5793 46743\n22180 76217\n76646 94787\n3149 68034\n61907 75910\n19737 35211\n21118 73343\n77947 80663\n40849 64407\n45510 63560\n11643 23705\n7981 48386\n39911 41152\n27289 88808\n22164 36994\n68073 92739\n17624 53523\n14864 46871\n30722 73574\n44490 78387\n11905 46276\n7373 25188\n361 9569\n15422 32911\n8922 35683\n78769 98454\n64387 82368\n75807 97237\n1653 76694\n46823 80449\n29201 32285\n54787 92933\n13145 18999\n8772 96888\n25866 72787\n19790 92537\n5063 6384\n29738 56579\n27942 64291\n85806 98234\n67761 72074\n12627 18386\n38281 67741\n40577 45554\n2996 90409\n26474 75675\n22112 30827\n22294 54047\n80447 96195\n11658 79188\n11552 69463\n70814 95181\n57620 61237\n14559 87885\n20465 87620\n45431 47422\n48180 77500\n54953 73724\n28113 84069\n4443 66386\n71249 77949\n1101 43458\n28894 41344\n58211 71809\n55168 73861\n49734 54761\n37840 84424\n25733 54115\n803 83345\n13463 79881\n66601 72752\n19195 83569\n95103 95356\n69270 71378\n45409 86233\n37339 90687\n51281 70988\n29711 30641\n9963 10723\n8442 13069\n47347 84897\n4511 37199\n22275 84763\n37862 95726\n37665 39464\n25826 59610\n10903 71033\n28375 98245\n61993 87650\n11179 47890\n57546 66593\n25952 29177\n7908 72803\n3883 80958\n30351 76968\n16255 82525\n76427 89237\n36953 70766\n1505 40947\n74912 79174\n29226 38363\n22380 46938\n19499 47622\n34973 87935\n10159 11788\n38108 66289\n6064 54240\n71356 89337\n5772 19749\n27556 77297\n88559 99813\n11422 68015\n76385 89885\n46606 75773\n62747 95724\n28336 88726\n9272 13388\n21074 42909\n71551 94835\n20980 37235\n232 6692\n34319 38689\n1130 18910\n68100 99410\n85453 94155\n12819 24385\n88604 96893\n77600 95875\n44634 49797\n10219 29979\n11353 61006\n14888 32121\n51561 83522\n31462 72599\n16270 64633\n12016 88979\n14885 48728\n87743 96641\n88227 89853\n17956 43062\n40571 76020\n22721 54408\n38135 47375\n38389 81254\n32691 86311\n52398 55848\n41182 84155\n35382 93870\n15408 60222\n34675 84046\n16741 87946\n23115 57537\n16823 70612\n16393 98993\n37981 94520\n2439 21202\n3406 22607\n6690 91120\n13140 36013\n28120 72444\n9782 22307\n70539 72514\n41788 54314\n24806 91804\n71908 94930\n345 56555\n27409 36715\n9891 60163\n67997 85477\n12435 92458\n46298 72362\n65230 95400\n20354 21178\n40190 42712\n89992 91157\n45546 49022\n29216 49075\n32889 87666\n83582 85783\n33543 42585\n632 62162\n4033 61469\n1575 36240\n34558 59824\n35997 44190\n64716 71384\n52540 58049\n22455 54283\n32415 46289\n4128 83879\n22294 58546\n3421 64114\n58384 72031\n53195 91397\n16288 54688\n33393 33844\n20942 93449\n828 1809\n44394 71349\n24107 63519\n15256 24956\n77259 91769\n81453 98658\n31822 85358\n5657 38399\n38272 95098\n9685 69813\n42982 88702\n44182 75195\n27043 97850\n5623 18558\n42672 67093\n27657 35532\n32887 75736\n22614 41220\n49482 50231\n4925 52472\n62942 96084\n27435 70248\n42610 59079\n88632 90845\n86779 97390\n8381 50306\n48776 80241\n84470 98118\n43832 77744\n16280 96801\n74612 90736\n30090 41232\n33672 98347\n35066 88433\n29512 90847\n23351 96878\n45291 86488\n18873 98795\n30544 80051\n65598 83283\n4202 74328\n89511 98057\n38226 53898\n35274 59501\n10319 51565\n9525 93099\n37641 84742\n14302 18668\n12557 78074\n1407 28787\n6340 48478\n35991 76217\n35724 40036\n10823 30830\n39580 86363\n27600 54230\n50832 91382\n37600 44606\n13011 91537\n31147 46205\n22565 75270\n17021 78787\n44214 99352\n42819 91445\n37183 95936\n21637 95395\n17464 96255\n48814 52955\n18776 35842\n14920 74485\n45863 85318\n5838 10086\n28034 62659\n3723 54612\n45887 91123\n14324 98996\n26696 72423\n25485 97745\n40249 42404\n2933 15621\n69359 79016\n23373 36643\n9984 93654\n50737 88801\n45725 92768\n5313 51064\n35143 89026\n544 39573\n13481 23792\n43760 82918\n11892 35419\n28732 36871\n50890 57556\n55954 59591\n16192 33899\n17231 89573\n78878 83543\n28702 75904\n83673 89623\n997 91208\n73379 78079\n39172 75065\n32432 52070\n22615 87220\n31702 83074\n35624 57482\n75283 77512\n69546 71860\n41459 59724\n29529 41927\n29105 67281\n84997 93968\n75093 99637\n10973 97342\n7614 79211\n37078 57409\n78158 78500\n8070 27854\n74246 97123\n18676 66845\n17118 62416\n25221 85597\n72250 77704\n42010 90552\n6217 70235\n64830 90888\n2337 9581\n89479 94053\n16820 23342\n9436 17365\n3777 8033\n37836 88880\n52528 52640\n34588 52985\n78523 79288\n54724 54938\n35496 40090\n285 34699\n52656 85512\n38653 90959\n80993 91308\n14399 48986\n44881 72341\n1402 48507\n27537 54373\n58031 75186\n59210 90823\n31130 65287\n3174 39669\n22081 42074\n3029 88153\n24965 96589\n30338 98676\n89097 92805\n85097 89465\n7070 7792\n38916 99302\n25148 44595\n21561 89413\n6167 96394\n331 66619\n74679 91832\n4369 35753\n5172 42461\n28531 67096\n3034 18447\n12716 71562\n13428 75208\n12163 59806\n78215 92322\n40337 91485\n41632 60616\n46644 86846\n92026 94494\n72241 93123\n79932 81807\n2680 40247\n7529 13060\n5105 46225\n7657 39510\n50141 68794\n4115 7642\n44157 96904\n66627 84177\n13586 89492\n17482 70623\n82304 84018\n56949 59715\n15673 28066\n25199 96322\n70083 83898\n21823 59803\n72965 74787\n8509 67061\n8487 32210\n44592 86416\n58084 89153\n82991 89767\n17051 71627\n4634 60770\n76193 77942\n57934 59339\n40591 98517\n23145 32167\n33087 99437\n58487 83010\n64846 87883\n13624 18309\n12822 41466\n45041 83094\n50648 83257\n47617 59858\n56647 92864\n25065 32426\n16707 97922\n48512 65372\n1648 79302\n67849 85936\n6661 73197\n46575 51101\n52891 99102\n6481 69973\n45973 87124\n10110 42434\n73640 91260\n26781 77434\n47821 79145\n19535 62200\n63640 85922\n43135 65814\n47018 92473\n72049 94046\n48514 99397\n26486 85303\n5211 35223\n9077 23241\n12550 68973\n43339 73682\n57484 66837\n8153 52496\n13472 65762\n44042 46452\n3078 39040\n68462 89900\n28656 56664\n10065 68560\n41100 96062\n5194 53035\n26044 55472\n29114 65803\n57931 82194\n21488 96524\n37540 58802\n13945 95779\n44481 66600\n17604 90396\n22969 92425\n4098 12808\n52152 62642\n19111 92876\n9780 33140\n56597 80733\n16058 82551\n10879 71445\n23314 69037\n75280 93490\n70946 71359\n95487 97897\n36647 65911\n913 44056\n40129 70369\n73742 90559\n42720 83797\n19931 28988\n1654 50480\n25298 68572\n23193 59227\n4637 93338\n27446 70452\n81511 90852\n18021 30696\n30551 32478\n72066 95957\n15703 52242\n69598 73876\n10026 80226\n3764 91380\n43528 84350\n32093 97223\n55562 79318\n24117 66565\n26842 32915\n43823 99768\n53817 78906\n52312 90785\n3576 88738\n28814 66215\n43592 52157\n55000 93111\n21275 70628\n371 62345\n39433 89620\n60915 66262\n19428 20292\n57056 61730\n33958 36572\n31013 61187\n53800 58564\n65184 68862\n90737 98000\n12168 23286\n21867 51478\n3691 30205\n85625 93106\n11515 30178\n22866 61528\n2483 37060\n26420 70801\n60480 70541\n13147 69096\n36253 40179\n40932 58300\n65815 80533\n31109 60940\n59499 84719\n49467 82187\n7218 27899\n87316 92865\n18020 58064\n66312 80314\n44417 80605\n50401 91445\n71934 74786\n13050 36898\n49237 86642\n26720 57135\n37659 77846\n21433 36515\n63747 83388\n34152 52469\n93973 95479\n35444 73307\n51751 54270\n1511 90157\n7669 93470\n74818 76356\n29303 89769\n12712 39493\n46280 64618\n24473 26955\n22339 96748\n52585 71856\n79838 88144\n52862 68654\n18461 74103\n62200 87197\n60745 67058\n75427 87233\n54132 56374\n33330 43026\n11958 39684\n70 9506\n1448 35397\n4841 71811\n25680 39974\n8674 20769\n16442 59132\n2395 9691\n4959 66468\n19854 66580\n5856 91695\n72913 83017\n20050 42699\n31380 86277\n20964 70626\n324 23457\n41252 73101\n13357 66172\n54546 55184\n49104 56675\n15517 41487\n50115 72688\n39368 94736\n54085 70820\n19149 44332\n16196 95729\n96308 98078\n88099 90689\n44217 73543\n75531 94802\n14303 15766\n36057 39585\n6533 86616\n77878 80306\n3049 51406\n9596 53654\n35894 60564\n25691 84520\n14019 95722\n8118 37703\n46851 65922\n44289 53369\n27836 33084\n41359 99704\n35050 45220\n45028 58432\n56232 67737\n78557 95997\n95636 96623\n20488 74696\n67972 72067\n16568 42103\n23775 51796\n26221 40776\n30943 62323\n2046 18696\n10149 98211\n85650 98874\n49397 90529\n73120 89511\n17832 57558\n53789 83793\n55268 94607\n73367 98056\n27934 88260\n55768 77601\n19588 44840\n23626 90698\n3699 58883\n78539 96817\n32068 35689\n20079 28051\n10652 95237\n28509 63159\n2009 32878\n38018 77057\n43034 75594\n28134 29525\n35984 73624\n14535 75893\n96701 99507\n46343 85263\n22711 35466\n31919 93537\n18422 41418\n21266 80682\n24193 51953\n15558 82209\n37128 76995\n42316 93421\n352 6724\n12274 50507\n19893 55921\n24332 51976\n47109 60617\n60081 93682\n20040 86530\n38814 47871\n21009 72811\n52961 60413\n19007 88517\n42215 69272\n15011 77284\n9384 44379\n5794 60310\n11436 37373\n15927 51435\n32245 71642\n30109 34582\n88741 93236\n21871 35210\n13232 96042\n12139 67794\n7741 9523\n4652 5396\n50427 60152\n10753 81960\n61621 81315\n23921 77673\n18803 63897\n40994 63957\n63672 89455\n35792 57863\n16085 53259\n15883 57543\n51960 63148\n3315 51305\n10390 43013\n35961 97669\n12493 27163\n75515 85805\n369 78367\n5582 7323\n66760 93399\n8250 66579\n23343 73775\n7392 45602\n28975 89560\n48288 58333\n46821 91063\n83 42703\n29472 42293\n17021 73314\n88757 93727\n8951 53368\n13618 97839\n85275 86594\n11918 42715\n9465 23490\n1151 31763\n32535 62172\n8376 8730\n22486 66557\n10276 72815\n2833 19515\n9240 63967\n57885 77287\n10654 18509\n24740 60882\n15092 19722\n54407 83367\n31375 74943\n46571 76028\n5583 39399\n40340 65839\n38561 84566\n35675 93957\n43004 51350\n10321 75669\n80924 90965\n39837 51810\n6587 19832\n61429 67889\n2724 3714\n18262 73488\n63155 90902\n26294 95477\n44436 69176\n65929 89282\n13954 31618\n25283 96353\n6863 65934\n39752 47281\n14717 96985\n87601 90579\n26173 61673\n17588 39324\n52789 99926\n56487 69204\n36968 66425\n26591 56461\n587 15742\n57958 69055\n9339 11777\n13655 56404\n2 954\n52540 55777\n1512 20593\n2155 74863\n12453 91028\n17668 82645\n36310 63928\n10690 90366\n40766 62807\n30426 75561\n11616 79157\n30552 75374\n27991 28340\n55005 83328\n46629 64814\n73851 74234\n41747 71828\n57606 68476\n25575 61244\n21626 83514\n19961 60770\n34932 47052\n60363 64123\n60950 72062\n33811 83645\n36569 88639\n30882 71584\n25404 58865\n50801 65519\n5723 90514\n60528 83270\n30611 57497\n17609 98289\n6988 7534\n29572 81452\n9696 58089\n71645 89726\n50730 85312\n25407 82020\n12399 70826\n337 4297\n44643 88766\n45005 88183\n1889 92548\n24465 83481\n24732 85895\n5277 5296\n13457 37512\n68673 78607\n831 39447\n67006 78226\n61188 90602\n10715 85145\n71909 85745\n61468 66126\n11058 71681\n43933 68690\n24551 54785\n97689 99267\n87860 97530\n3205 46861\n35764 63399\n55022 88526\n61408 97207\n2028 65549\n89473 99417\n39486 78183\n20130 63858\n5331 80364\n15450 80099\n111 20060\n5291 6345\n23109 97838\n39063 90303\n44117 94406\n28859 50390\n5437 76436\n34680 91218\n63173 76177\n27424 64970\n26646 80278\n92899 93216\n16068 56446\n32323 35975\n28879 56050\n53354 57285\n34054 44135\n6354 32143\n46113 94020\n12031 39977\n48288 71544\n67545 80105\n91446 92019\n13167 66653\n3325 32354\n3063 18799\n12245 51794\n7168 31962\n38512 46936\n37571 92664\n50450 59657\n58331 99765\n61319 88980\n72430 89727\n20204 33576\n68989 90364\n28471 86616\n36828 37992\n21013 66350\n61494 78085\n3187 47664\n22740 59555\n17095 63567\n61821 69511\n37401 72967\n23694 92963\n30846 58679\n18514 71488\n28666 57635\n972 48184\n43281 68768\n28351 55617\n20146 58543\n37996 74406\n27421 99505\n43403 98039\n23913 72215\n49381 74533\n47085 63355\n13268 14239\n33894 98931\n11518 46486\n4814 13551\n1569 49727\n41364 50469\n13967 25326\n51595 64894\n1216 89681\n33208 35571\n3304 88442\n28692 50200\n84818 96729\n77805 79805\n2503 23719\n53794 88211\n48301 63398\n20650 74071\n25876 72684\n20751 81792\n17074 35375\n37884 57758\n16002 82897\n11347 32078\n78881 88768\n2765 84078\n77856 96167\n35014 59760\n6659 53818\n21581 52987\n9859 52222\n52217 89387\n19089 27110\n30871 65009\n42240 46811\n30608 77214\n82070 96791\n21570 58652\n34375 48283\n46871 78294\n52730 99758\n54750 99590\n13505 65426\n12720 91915\n24188 48177\n39932 94788\n34556 67136\n35951 37868\n23647 99044\n17749 81838\n26074 68568\n3402 57493\n7638 55283\n10996 82929\n29909 81113\n30425 69920\n4352 52729\n32719 37252\n56779 91155\n67217 92523\n22628 25881\n13033 62709\n14674 88801\n43150 65875\n91894 97375\n46073 68059\n4707 71989\n16230 21182\n46064 92767\n66915 87513\n17556 56460\n35487 64574\n27055 35238\n17425 72130\n47001 63194\n26067 99722\n3190 41549\n26330 69214\n9878 86828\n1922 17190\n68514 73542\n21155 29765\n50335 55958\n34537 53151\n3711 48371\n38534 62933\n10775 23293\n33028 84390\n15137 24099\n22263 28304\n83126 89266\n15152 60594\n30312 74753\n72617 81415\n26364 79376\n62938 75960\n44523 66107\n41930 44059\n28695 81945\n28984 53374\n68692 78663\n9212 27029\n25702 57871\n67548 88381\n36836 69420\n24705 50856\n11459 16498\n61841 90006\n26759 86710\n10817 67709\n11887 52821\n15186 53583\n18025 53920\n17920 56713\n72469 93933\n21086 63808\n30960 84923\n29864 47288\n37812 65708\n2593 80861\n35106 65873\n41684 63118\n71585 94942\n13442 72435\n55189 90863\n29455 98731\n11339 27100\n69006 87690\n84098 92235\n63830 68194\n38416 44253\n50794 55483\n41744 45584\n74776 91971\n11549 18154\n70740 85556\n37671 46030\n16583 53559\n58549 81282\n13720 41453\n75153 77122\n35023 41710\n53149 71558\n798 1675\n23357 49704\n50720 86868\n88141 91752\n34865 74314\n7175 7216\n45995 70433\n10050 45882\n30132 71076\n74857 80198\n55117 89235\n6017 99632\n908 41692\n57414 62307\n26863 74695\n46462 74338\n67610 93611\n1142 80840\n19661 86419\n3860 62346\n48813 95190\n32497 81761\n12185 76268\n70620 99567\n41015 84275\n72666 92013\n20185 73596\n37978 88301\n22535 27077\n28099 75797\n22020 90278\n8596 52534\n17111 83351\n34891 98998\n70338 76827\n2226 72510\n13076 32960\n35097 91081\n32667 49471\n53531 97951\n64046 95758\n30024 54723\n7371 13596\n21522 91048\n61789 91852\n7058 81150\n20168 23041\n19096 28612\n32310 65288\n18077 46179\n4266 5096\n57702 92082\n11563 39601\n17957 91045\n40961 85912\n47601 82016\n49318 91277\n31100 54678\n50521 67430\n92352 99481\n14969 74719\n31810 75993\n12321 67369\n72169 93075\n49989 88344\n55421 89796\n60800 69210\n27285 56442\n9149 95416\n12924 26723\n20411 23712\n24493 39973\n67384 86767\n83256 95015\n8004 64122\n2884 53487\n4866 51373\n35244 74632\n16329 68686\n47108 93127\n51177 67166\n54602 96899\n47607 90443\n45353 59918\n13318 45827\n24085 36476\n51366 75556\n47896 49599\n9287 19822\n57160 94416\n28420 28999\n57142 97927\n60496 86359\n46085 85078\n3767 95475\n38471 86748\n28276 34769\n20680 22430\n57166 73532\n37261 68787\n1619 38013\n26185 85209\n5437 44122\n10590 50963\n44966 48212\n13440 45300\n73303 96844\n25777 33946\n16520 27652\n10766 74649\n87418 91060\n32917 66846\n16319 99662\n5622 94088\n53253 53352\n57705 72803\n18124 61891\n45304 70505\n32027 83735\n1293 99241\n66836 71632\n4818 14472\n69240 95348\n40558 52830\n33481 44441\n45157 84166\n75631 76538\n47923 49888\n37871 65030\n33804 96254\n17989 49235\n49597 69971\n14326 80864\n16843 98548\n33794 55477\n58000 94622\n35651 53068\n10476 38465\n58150 98572\n26541 28859\n19087 63135\n98257 98917\n6163 37852\n20944 71484\n51334 55370\n11983 41091\n33252 66477\n39686 51357\n3498 82052\n5365 17168\n39217 56862\n27954 90088\n44373 57775\n36248 89124\n56669 99263\n47391 93771\n83026 90691\n25104 98869\n38195 49072\n10937 70405\n25729 91304\n12292 79060\n61613 97097\n25142 83187\n56442 98821\n43364 44702\n58900 94316\n33914 89232\n14871 81647\n77515 83494\n41816 79004\n44293 77239\n8889 46718\n4252 85124\n23502 93006\n13061 44010\n29197 63259\n15802 83307\n95858 98927\n14645 35604\n36301 63298\n13213 18032\n44466 77891\n1927 99460\n11061 77735\n55105 65955\n36970 60178\n28186 77988\n75035 95569\n60879 77601\n43656 87435\n17251 94987\n38534 61186\n57907 97956\n22315 64088\n12974 62329\n393 13215\n1013 33029\n57604 58515\n44209 97123\n42479 77015\n7533 63310\n14578 23046\n6309 10056\n13481 95410\n13244 21092\n35733 44401\n1016 26188\n75022 91680\n71381 74449\n18942 24523\n20275 36091\n39999 99973\n24626 53913\n29352 58694\n24699 67684\n16563 98182\n1564 65808\n83971 87922\n18626 63252\n63210 95225\n55786 77239\n2346 4125\n29886 65268\n1048 97235\n13750 37236\n2815 4011\n73711 82625\n66900 67026\n94081 95628\n22844 97276\n41606 50430\n12961 24080\n22965 27589\n28559 73908\n14659 64865\n83001 87620\n36283 97437\n54311 83300\n4569 23018\n34302 51198\n29809 72127\n92246 98462\n35444 58134\n37245 69498\n20533 51553\n9828 96365\n46597 74338\n58759 89309\n37298 69509\n71594 90769\n28510 79702\n50246 76808\n17667 69286\n868 73046\n41215 58288\n19279 97506\n5647 91776\n28139 97763\n23470 84963\n71512 74070\n23297 67382\n26280 29930\n37556 97839\n37052 50742\n71950 91772\n2843 21474\n17167 76203\n17062 74952\n8130 40471\n78695 86747\n74682 78962\n13439 58233\n46458 63300\n45145 86854\n24784 43458\n26965 38834\n86844 94576\n17755 30511\n34237 56810\n49212 73794\n25136 89567\n3311 69596\n37159 54827\n37850 70611\n23400 55590\n756 37645\n49668 66235\n29862 67666\n50941 58087\n30305 37619\n71291 79708\n53484 78262\n54215 80079\n33316 67397\n57186 70042\n47276 82738\n49841 68221\n23365 98503\n8795 73957\n610 80086\n49186 87930\n23984 66218\n82546 92828\n9198 77435\n7022 9429\n30456 85504\n13653 49112\n9509 36670\n46437 55687\n48089 76767\n411 90329\n48019 73077\n46136 78485\n51570 84834\n50382 52556\n18006 98347\n32391 65204\n56083 85204\n26823 72083\n23796 44067\n38155 71068\n75106 81696\n63406 80211\n66073 80557\n20519 59284\n14921 81345\n28480 92172\n64958 94381\n4423 95649\n14631 95386\n15035 68501\n7020 12782\n38470 55543\n72128 77171\n32542 41458\n25433 50263\n54499 76954\n18307 74230\n4680 45228\n71527 75653\n49992 86223\n28313 37287\n45181 91774\n21175 22629\n16137 57228\n74220 87791\n79709 91872\n2941 54810\n11419 63044\n23870 94353\n25023 90857\n733 2234\n38145 55325\n54416 92141\n12809 74836\n21397 89567\n52621 72330\n2852 33331\n73029 79031\n22913 95180\n65091 72081\n41732 56025\n65400 87509\n49013 79607\n17894 74203\n68209 88366\n49556 73159\n84082 98189\n3650 88479\n51871 66609\n66484 72752\n13268 98897\n38667 97615\n17606 68485\n2547 9798\n6518 79348\n87709 89210\n19360 85249\n45791 70961\n5150 50720\n9693 89988\n57000 90904\n24989 53765\n40172 74633\n16201 71845\n2389 41257\n10585 82590\n10555 66511\n7303 15103\n3847 16607\n60278 65718\n54149 92493\n68078 77479\n5339 60359\n68136 99933\n3079 34582\n58035 97834\n82063 95686\n30050 89089\n9163 60650\n7939 46514\n46392 48158\n3342 23643\n18780 67167\n22803 71612\n31322 54972\n6868 97152\n15422 73711\n8482 30137\n38153 99758\n51392 89458\n34336 65209\n34396 55295\n10843 35018\n86543 99943\n11150 25570\n56923 63244\n20657 64152\n11708 92651\n30717 71323\n84285 98314\n1752 28546\n46147 91176\n8211 52874\n15825 23230\n10427 39840\n50705 65485\n26816 45120\n14756 40142\n55684 74043\n32403 34309\n28168 86619\n58735 60501\n41552 69090\n45778 52909\n8055 15691\n26560 73651\n22432 62535\n11947 60769\n32148 94520\n73877 88059\n65344 79399\n10334 62819\n46572 76880\n74287 89430\n3813 96578\n3911 93741\n30472 90170\n55243 71908\n41553 90727\n18460 77684\n32925 97708\n185 6892\n16756 73055\n32354 44990\n21705 60483\n70680 95386\n78511 99860\n27862 71349\n51992 81176\n11059 40602\n34803 66952\n94894 95020\n4766 31787\n34668 94420\n91238 98526\n4977 54508\n5484 60686\n12917 83339\n84483 88287\n20225 93320\n21186 41923\n80522 82141\n5087 83321\n30118 48417\n77665 81698\n19877 43512\n24191 79993\n30886 33583\n8134 63187\n19815 86649\n28912 45987\n25194 98113\n68428 92307\n15843 23819\n7441 15073\n56916 91853\n8766 53876\n38398 49294\n30130 54262\n59999 93592\n62533 62582\n96293 99047\n3416 78301\n24015 33707\n5928 65440\n8738 79004\n61614 71679\n66481 78913\n15864 69148\n12430 24444\n67872 86046\n29902 90140\n27095 83016\n37100 74149\n4901 65690\n13794 28070\n7112 95142\n14157 64503\n32509 60688\n35517 54456\n39253 68524\n45093 94581\n52334 63633\n21329 47825\n37759 65631\n8176 17655\n14989 90911\n10668 63267\n4143 85093\n43142 57873\n27056 98688\n39506 67909\n68151 76571\n15973 26366\n42717 86977\n3907 15360\n5260 88226\n49691 53370\n78157 98792\n17103 64111\n53862 71611\n61077 67323\n7015 11028\n10714 56690\n38639 59216\n51550 67054\n7686 7959\n49967 87492\n1187 11425\n23574 30473\n16314 88254\n5566 76690\n13120 67585\n19751 27425\n414 19926\n4941 25957\n21518 43107\n54614 60688\n33243 55683\n51396 93258\n87147 88482\n3714 20280\n80109 97800\n11913 99527\n42178 76136\n24542 52352\n33738 71464\n17659 57725\n26178 90604\n34901 86285\n6276 26923\n19648 84965\n10112 46042\n5001 44046\n17506 92788\n80794 92689\n83365 94031\n10157 69732\n11196 85951\n19497 47959\n37971 41631\n66841 96220\n12232 55981\n37751 50828\n5163 62161\n18373 42136\n70434 73041\n86393 93390\n79308 90441\n4777 24148\n69762 88649\n70985 77197\n1932 55372\n57536 68239\n75438 86887\n52574 96644\n93493 99294\n28895 64863\n62217 80246\n69646 92724\n42790 82374\n138 67593\n5128 42655\n38343 63093\n11018 82880\n69005 88831\n37451 87723\n8843 11587\n17413 19200\n60680 83640\n3963 88149\n27595 79326\n75460 99617\n15056 75733\n70007 97490\n63578 74153\n2268 32935\n17919 46054\n13489 89742\n13714 45985\n5197 43214\n45219 67626\n13698 66061\n15440 77561\n15306 48209\n27298 59250\n52086 88347\n67739 97794\n44290 72203\n373 29884\n77517 79440\n4990 50399\n12191 64802\n2631 85056\n37857 81686\n11035 96090\n4943 96376\n62429 82648\n57864 99186\n35941 60363\n12071 15700\n12098 26912\n43616 69606\n30756 77987\n7502 84674\n12335 40390\n15257 42264\n53215 69889\n317 82690\n11699 99156\n38924 92925\n18898 68229\n29348 88581\n20405 41741\n68637 74479\n42038 99904\n45041 62510\n7374 44878\n15251 53663\n25470 68848\n54951 87150\n80613 83127\n26318 36073\n67828 80878\n1682 60977\n2644 87734\n49312 96428\n54213 93201\n12744 88963\n61698 63600\n22985 86935\n31029 62190\n26157 34157\n54913 60885\n34527 84706\n51652 99216\n13685 78714\n65477 97588\n32144 32375\n48193 80164\n40951 83065\n14718 24815\n34803 97669\n14125 47611\n28509 46676\n30203 83380\n51137 73274\n38672 51818\n29215 62871\n2338 74574\n35967 86445\n58393 70101\n43330 68482\n82612 90822\n24301 59295\n2237 36039\n17555 56628\n11437 35103\n36903 90071\n14347 59824\n18957 33957\n32041 38200\n39449 92769\n52561 64725\n3652 15659\n2523 11449\n59278 97049\n82987 99732\n34936 67713\n33491 77984\n24656 24865\n67251 90779\n18358 44150\n25387 63193\n648 32652\n40035 93071\n2504 99472\n16335 59973\n26905 99501\n7012 20870\n8917 62205\n35234 54593\n10911 52572\n15853 61980\n6619 73339\n63548 72480\n25109 27268\n4315 70189\n46657 82766\n77380 80246\n30751 86954\n3465 34865\n62753 78159\n68076 88734\n25319 60486\n30896 31653\n22459 27793\n34224 62619\n33753 68342\n33579 70980\n4381 12238\n59816 90018\n73157 93773\n11927 65963\n10231 24127\n51424 84060\n17024 50717\n36371 58081\n26111 38845\n4845 98562\n31491 52590\n59673 85077\n2868 36031\n2907 57774\n50295 62947\n39133 84999\n15688 22636\n58915 86387\n2272 60263\n7173 24406\n4260 13520\n41518 42478\n52150 53367\n1415 43673\n55972 96708\n53996 91802\n30892 69208\n51764 76181\n40352 86644\n2549 2766\n31889 52111\n60769 97662\n12243 14237\n68437 96059\n18200 88515\n927 82437\n55249 93384\n36424 55313\n37449 80230\n27967 38652\n5768 52384\n45198 93629\n32006 37740\n34533 96750\n2973 33436\n28686 88471\n25103 98249\n14711 67879\n17684 72624\n28555 68065\n6044 76351\n21244 71744\n2215 50018\n68376 99167\n32159 98369\n16349 91570\n13749 87265\n45798 57281\n2877 63265\n34330 69456\n96233 96829\n26650 68877\n35619 50906\n9980 57047\n17861 87346\n2658 86938\n13291 32372\n84001 85713\n53506 96625\n20324 85735\n45870 96266\n1246 78152\n13185 58242\n58207 85954\n648 70560\n64974 65218\n69805 89245\n53570 99415\n43954 59284\n16761 61311\n44801 58699\n30737 75079\n68661 77571\n13143 15323\n48059 80302\n10536 44281\n50243 86583\n22711 99704\n48066 97288\n20110 49185\n5815 96114\n49596 65920\n15871 80929\n4396 59827\n79778 86689\n31184 47759\n73794 78655\n62456 84544\n63284 71795\n50366 70115\n7745 48809\n54767 54909\n5225 31429\n77640 81011\n47214 94032\n4791 5600\n26507 78292\n2419 40505\n43070 79977\n18659 64149\n40084 59731\n65753 73674\n19508 24801\n18287 65124\n26087 57072\n11167 32323\n43679 69251\n40518 58445\n56200 66363\n3056 12339\n17601 47352\n11336 24924\n77047 79764\n68535 95809\n88900 90538\n4098 18465\n45943 46518\n26324 37434\n25350 72801\n22385 62427\n14302 20820\n26623 79728\n37990 79127\n180 6151\n17816 79447\n4961 24707\n84600 92171\n52808 88433\n19200 42252\n23355 56040\n24729 64325\n25057 91465\n71940 72546\n49534 84392\n9632 64278\n39572 43713\n53221 60688\n32727 71294\n10971 40299\n44910 56436\n3240 46923\n69901 99631\n1962 51604\n1566 96452\n25280 55873\n16704 91409\n25285 84116\n22469 55278\n25039 67683\n70946 88318\n31366 35455\n61990 65202\n65785 89647\n51709 57119\n38244 75911\n13685 66459\n62106 96326\n37080 65040\n32053 74900\n13161 23610\n21254 65437\n24931 72504\n8284 88644\n38405 66591\n67132 74652\n11382 96162\n43772 83948\n22372 75340\n3238 35925\n64893 89140\n3103 76768\n26071 65627\n918 48552\n32279 52867\n35354 42972\n24229 80437\n6315 76319\n46337 69756\n37676 58838\n31119 74263\n9414 95870\n11679 61395\n47732 63856\n23165 46492\n17248 95616\n8171 18638\n8321 51191\n23465 61082\n60842 75003\n48546 55130\n48178 84724\n18628 85329\n32800 81247\n4270 43972\n78937 93052\n80564 82785\n3484 10256\n43123 64420\n7904 42914\n25147 38680\n76062 98140\n27932 48399\n14830 42018\n7275 19968\n40045 52374\n49467 78819\n46886 69608\n11781 32216\n69372 87879\n38232 70531\n81718 96161\n44145 87219\n55911 89245\n11006 31909\n31770 35414\n31543 38817\n10151 85255\n11092 15075\n68773 77141\n1085 61132\n36178 89893\n84979 86539\n12766 97781\n30570 42567\n7981 97295\n12133 20766\n62109 93041\n31138 96857\n28399 50069\n53746 75882\n43364 44214\n42990 82313\n19722 59848\n13842 82083\n12864 70056\n24979 67206\n28465 68631\n45886 53554\n47135 82693\n81934 89102\n36033 77723\n21273 63811\n35101 53956\n39971 83634\n23662 94429\n71740 78598\n48484 88186\n33099 57053\n18269 67265\n80038 91239\n123 82171\n47920 53417\n11074 86033\n60550 79800\n86482 90415\n22651 67967\n7980 82026\n79833 86579\n42597 62014\n27246 30946\n39489 53676\n59975 88660\n73043 91807\n74762 98213\n52558 84676\n12594 58756\n5105 66812\n42282 75218\n6264 66721\n7781 69335\n7270 9984\n44297 62588\n32848 90211\n38560 87161\n4348 43477\n40609 72481\n9667 65616\n3349 70495\n14510 61148\n31146 35004\n22196 35290\n76179 77261\n46833 47925\n9964 78453\n53326 64709\n10536 24141\n77627 78362\n24665 94995\n50229 83843\n56211 86397\n20386 81005\n42387 86377\n36340 48255\n37418 71792\n73860 86812\n7760 42539\n65749 81190\n4947 72050\n77716 90099\n21524 28175\n1699 32057\n14147 96174\n48921 81085\n84058 95958\n2741 42392\n18838 29848\n4983 86079\n45819 86571\n5071 75387\n88695 96280\n38993 82185\n67470 99883\n1811 3289\n16923 69352\n58833 66537\n43100 87136\n23831 65308\n7464 39284\n34173 59483\n17459 19716\n20186 55904\n4055 4728\n22920 44742\n22379 73404\n61340 83943\n12772 25556\n11454 45619\n48786 56495\n71736 96107\n29371 44902\n23947 86543\n10460 42098\n41778 56152\n7837 79239\n66879 83830\n3605 29268\n32697 40111\n16956 51921\n37862 69026\n13225 83992\n20979 69324\n3650 50358\n23625 39922\n55155 92221\n24559 90588\n28183 60944\n8761 40987\n1966 82048\n64447 64947\n9136 32088\n43962 72360\n5403 28056\n22570 42671\n45339 65709\n39444 69573\n2532 89546\n40451 60883\n32680 68134\n60155 77172\n38634 65195\n31063 50926\n62827 84357\n14735 84548\n33636 50693\n6481 77514\n3264 74229\n25310 67384\n7176 33142\n24701 35932\n17885 29507\n49574 62919\n30148 47995\n58335 95643\n71177 90750\n11019 12517\n65080 97035\n15207 35168\n70742 86448\n66665 86891\n21160 42469\n47239 60197\n29439 32731\n45033 66501\n4389 89071\n49111 66587\n2277 48194\n38655 41247\n123 30859\n16519 51951\n61397 79557\n5451 45271\n74526 94252\n10563 63106\n26344 31719\n31769 79051\n69468 86915\n35737 73708\n83004 99838\n22296 61711\n34262 94056\n10438 58828\n12074 29476\n19665 20528\n51691 78160\n79502 85363\n1009 64285\n31881 85050\n25759 31836\n6259 62098\n67576 90656\n11311 17419\n63727 89637\n51927 52302\n69095 77871\n36904 77160\n73426 85052\n19394 66235\n71160 91686\n23352 78324\n12641 84543\n93489 96860\n20040 65216\n23443 26441\n25027 86684\n9502 59348\n43550 65724\n20107 62114\n76103 78617\n56252 70010\n37954 74641\n25597 87779\n79315 90995\n69350 90877\n35331 77086\n14649 68907\n91612 98929\n54143 81477\n9515 93973\n12665 85894\n13873 74058\n23784 45529\n30138 86462\n21025 98767\n11639 84702\n43047 61581\n34685 86463\n50476 91762\n39112 61793\n28347 45788\n9423 27802\n23115 67014\n53091 77166\n14459 19528\n55310 65733\n23268 53331\n22049 80758\n16756 20256\n22015 77351\n55529 95195\n11623 85796\n28948 59972\n18149 92410\n40777 79483\n20443 95849\n48005 80276\n25477 66952\n73803 78704\n65118 66236\n1677 63914\n62784 89526\n62899 92444\n37980 85036\n9570 17609\n20995 29147\n36364 46635\n8395 60026\n38792 72144\n17102 89054\n33876 86572\n82754 95910\n65334 98490\n30758 67778\n79734 89062\n30471 93679\n3100 95465\n82642 88013\n40065 85209\n72365 96236\n44437 61235\n24845 87717\n9991 77289\n877 979\n58452 80950\n28648 32059\n70772 97197\n5526 83558\n1209 18453\n684 2360\n80227 92748\n2416 80647\n11940 56733\n14543 73635\n79240 92361\n16253 58495\n24489 25847\n20509 49267\n12676 99673\n38371 51474\n48533 75089\n67950 98109\n54580 69305\n18153 66683\n67821 81538\n25261 81825\n41794 90319\n4736 70719\n29163 62527\n50670 80248\n69499 73171\n20401 51774\n1106 85956\n63067 97193\n57733 83168\n85833 94546\n8555 52285\n29949 62260\n28017 71402\n7062 65991\n14601 24507\n26459 56841\n5948 15251\n34057 56107\n62345 95967\n42519 57720\n49780 65910\n38708 61851\n21444 82731\n23301 72335\n38376 62378\n67959 70988\n69200 71703\n21056 28992\n59976 98412\n32016 61023\n4548 81698\n23724 86235\n19693 67765\n6613 81158\n26627 71204\n60806 83193\n26688 78530\n48604 65524\n2600 16841\n79721 86241\n20133 61043\n36166 90038\n47900 82771\n46940 55352\n3697 56677\n15050 70582\n20679 62463\n47879 88992\n51415 67415\n16938 19754\n28472 36719\n36858 72969\n59836 84440\n84995 98311\n40603 84931\n30979 48477\n10439 34478\n7690 15063\n38462 93037\n40240 83517\n82922 85119\n67136 75982\n59182 97309\n31127 88256\n5495 32164\n76734 97926\n28554 62515\n60750 96247\n20153 52793\n33021 69434\n51764 63547\n13871 82401\n31333 69252\n15343 40891\n4067 73947\n44823 78270\n80022 85188\n53621 56869\n19574 29890\n51503 86458\n27425 57804\n18052 24969\n1635 91567\n1717 57242\n9952 14100\n65798 94412\n50920 69431\n35366 60866\n18790 54957\n45761 91427\n28883 92836\n80129 92241\n27172 54354\n2705 76221\n74400 94899\n75290 81327\n28683 34267\n49095 99640\n36219 54054\n4583 33450\n6391 71933\n27628 49252\n33711 99668\n22897 68054\n42677 89321\n4754 61490\n51133 52526\n12634 74064\n12316 66433\n54709 65057\n75105 77078\n65681 72136\n3058 95705\n43961 61651\n50672 87900\n70823 87291\n42278 96841\n16423 87058\n59536 79522\n29087 87013\n13001 16336\n30111 80365\n48996 87234\n3927 17934\n6109 69192\n49713 63814\n32373 88878\n18415 25923\n50512 96856\n61436 88795\n24143 85239\n71426 73321\n63155 95054\n48942 61021\n4564 72804\n51157 80924\n17034 35060\n37741 87356\n55020 71026\n26011 83084\n38330 80233\n68812 69126\n17374 84014\n21084 29070\n17925 95858\n71160 79890\n2684 61056\n83786 92007\n2338 38720\n30388 68058\n59179 61504\n57966 79265\n198 32824\n51299 67616\n10252 22267\n66872 78073\n32052 54900\n41520 88020\n54155 56651\n31224 39077\n67374 82476\n2918 57167\n3620 90324\n7992 35084\n1508 25644\n59446 81647\n83739 93011\n49533 58261\n20420 83743\n86946 87997\n5106 86001\n75970 84105\n16776 90692\n4372 56807\n51166 59750\n6184 32433\n77129 77257\n75377 92836\n60938 63526\n23070 65203\n30904 57133\n66250 86829\n34857 44966\n21548 36642\n61053 95365\n88634 93812\n6794 40777\n22299 37754\n61674 98622\n10314 29180\n51719 96478\n32205 32910\n7376 72320\n3831 44851\n71277 71938\n58987 61949\n7222 76728\n25880 33369\n5415 32240\n78846 83205\n77005 77036\n91341 98830\n1279 79004\n74880 88208\n67851 96445\n15977 58671\n4520 43860\n8280 34173\n34417 80651\n14853 56765\n60976 97099\n21222 93007\n35182 51179\n38787 88857\n43850 99789\n3890 86138\n27580 38536\n50990 82363\n49310 76475\n43668 86073\n62594 86518\n20464 94150\n51556 58677\n49412 82181\n16152 38778\n5831 70228\n29075 79497\n54597 73068\n12506 57966\n96 98264\n28732 61314\n64921 77302\n9392 55149\n19023 59029\n19916 69016\n45838 99983\n82970 93695\n2194 62165\n10015 29911\n4819 27234\n47513 88528\n48081 67823\n3085 7977\n32179 58268\n18246 21509\n10630 22244\n14428 34928\n61353 65498\n524 3391\n5820 6860\n23642 80162\n12492 25899\n68697 78351\n29902 93100\n16066 91942\n66878 94926\n35936 44714\n33382 83584\n68060 84355\n49035 98328\n45915 79710\n18259 81347\n82388 98482\n47643 96046\n32914 66457\n49869 95951\n10830 88444\n41337 67825\n8844 24565\n8833 63396\n86934 92185\n1119 26067\n15315 16086\n29506 46652\n22545 66578\n22671 74127\n19744 25119\n21238 32900\n57297 69934\n43010 74045\n14763 89266\n15910 50480\n27888 65970\n18592 75619\n29049 94968\n17949 86573\n15171 49617\n67696 87974\n81511 93351\n42433 52721\n51401 85272\n36995 89625\n40537 40781\n38379 56922\n9886 43233\n47506 82009\n6733 91640\n56009 72286\n74639 90874\n781 70007\n45906 70558\n6361 71725\n48895 49151\n4223 49450\n56019 71450\n21200 60791\n33640 46484\n58995 67382\n2948 3804\n43493 52893\n33469 86074\n49123 97237\n41938 62550\n12113 87483\n57399 73422\n83216 95446\n2800 77494\n14923 58864\n26365 69168\n59614 79406\n15033 83867\n59294 84407\n57490 61305\n61323 76533\n9160 78739\n51022 61702\n82946 86034\n7908 42114\n27177 66040\n82198 88116\n20358 66983\n52678 85863\n59563 90680\n70458 85386\n27165 78726\n9982 79029\n55870 75326\n33516 97360\n39060 74825\n22637 68288\n11199 80409\n68151 70720\n8764 78264\n38488 67236\n67406 71774\n30612 67853\n25784 73748\n28454 73307\n17090 43385\n5280 38936\n74470 85380\n49824 77995\n57444 87525\n35293 84364\n3237 3261\n32746 56147\n86630 94060\n60629 99688\n20216 56346\n17048 21028\n18512 38879\n701 74530\n832 89589\n34057 79909\n3853 24465\n32571 42970\n4390 77640\n21428 73377\n88876 99092\n17085 84101\n15646 29340\n58795 64610\n37683 60769\n37110 64419\n45919 59804\n6456 85756\n18989 32483\n68886 97227\n48646 81316\n87430 97102\n61246 90056\n32266 38006\n34732 89229\n7310 50751\n34270 96913\n33483 44882\n23072 35089\n30684 34734\n51756 70419\n2445 14997\n21615 71494\n78218 98273\n58467 93313\n23780 84601\n19210 39739\n4358 10162\n20265 54178\n46498 48420\n75254 83618\n53091 83493\n19814 49662\n2215 11118\n5967 80635\n74926 80669\n16073 55117\n16571 42856\n53870 60631\n41177 73435\n20590 75959\n67718 91237\n63148 68385\n47946 70831\n33862 43840\n6822 48093\n2927 3786\n21285 35447\n42822 78711\n21969 56596\n53306 90205\n63134 86476\n12186 17300\n45062 66404\n48817 62950\n51525 96915\n88747 97879\n3394 29308\n70776 88063\n25596 33718\n68558 78710\n43010 78968\n37379 56027\n10054 46004\n86032 93874\n8372 8901\n5505 99722\n49545 56035\n11501 20742\n2769 64338\n32735 93625\n38484 50573\n11334 57856\n38329 89519\n26903 38130\n15229 18899\n38207 54400\n9052 58282\n56975 87871\n31547 69464\n52006 93122\n36752 39042\n44977 73872\n20149 93748\n28996 52117\n87741 89995\n27468 77905\n37866 60067\n29078 68378\n48440 81064\n1334 78620\n21261 51319\n47430 58128\n22112 59518\n19625 52525\n21215 30235\n50605 71710\n29414 30041\n9134 25760\n41436 82323\n7110 15089\n8810 61461\n10253 24354\n6991 97109\n1380 98973\n5173 56116\n22344 98588\n47066 80112\n2427 38295\n25563 29030\n36008 75669\n46344 54275\n24614 29993\n19748 64679\n21143 34086\n17016 50383\n72613 93811\n45223 52689\n7251 96075\n62612 75097\n23234 48443\n38238 86475\n27309 91166\n68593 83969\n16016 31483\n51523 72259\n46012 89474\n7331 27137\n8540 50800\n83499 99802\n16346 61918\n16971 86491\n68465 85215\n13687 64548\n62109 68700\n39354 63089\n29107 91984\n13466 92390\n36616 76708\n49260 89893\n22736 45206\n27067 34885\n88916 99845\n5198 97887\n34883 84929\n23684 40180\n2690 77006\n61577 94060\n73432 88213\n6859 72619\n77629 77927\n54404 98233\n40164 59390\n35063 57420\n17769 32475\n39976 90610\n33459 88575\n31086 35100\n10440 26963\n46701 74413\n13216 87299\n4210 74409\n13914 35306\n63778 73430\n10411 27575\n82356 99391\n17799 92037\n20274 93215\n58600 79964\n10560 42630\n9086 89230\n60373 65488\n32337 60539\n197 21479\n68796 92586\n65970 74503\n44406 50759\n15148 81739\n53942 69020\n73607 89737\n22575 75250\n18481 97007\n72 42768\n6645 11974\n7666 96343\n90287 97656\n57178 70665\n1941 91434\n15406 88956\n78068 84592\n3563 49639\n20690 62604\n44882 80435\n39440 69916\n18759 94889\n23816 79538\n36284 36678\n3705 18967\n21820 51251\n42114 48670\n38567 38831\n7236 99162\n61099 63139\n9433 23947\n42121 99575\n59594 67803\n67184 74349\n36336 93887\n48993 63761\n86985 94634\n2865 26185\n13257 91680\n11435 91450\n71390 77358\n25709 52533\n29880 89370\n1503 67886\n28284 51429\n48689 76334\n77701 92380\n10908 13150\n52072 99049\n82169 90617\n4493 64704\n1271 9885\n39806 87972\n60759 92046\n10592 23345\n4238 93307\n33372 36159\n21684 55075\n49131 76870\n7540 89350\n24355 98434\n2884 18369\n76428 86885\n60478 79846\n31906 41641\n22738 34624\n2210 25578\n57252 68786\n11876 82769\n26568 31489\n37678 40225\n12149 19433\n78545 80821\n82833 91164\n8869 87766\n65154 90028\n53173 92846\n14933 59576\n8214 15140\n25804 87918\n38282 95421\n36493 85846\n15003 47580\n46786 87819\n80230 99393\n39335 96278\n8964 46479\n24355 35366\n33881 51475\n80375 92576\n42218 55664\n3218 78579\n19507 24269\n25234 78780\n462 63880\n35254 60060\n10251 58334\n35229 65372\n41415 90504\n51916 82959\n52875 87116\n8002 55241\n4661 49638\n5260 78202\n84671 94829\n24633 64733\n87181 88445\n19597 55690\n78586 91532\n17180 45692\n38041 95855\n33345 49261\n51716 61432\n33085 35796\n67087 87617\n19617 74929\n11447 73310\n28496 30442\n38388 92429\n24239 29204\n51097 83136\n55538 99217\n21033 21859\n12165 91470\n39044 61828\n58670 86820\n84665 99401\n7301 59244\n77736 97267\n2487 2990\n39731 50515\n48143 79516\n57755 83673\n40140 58271\n6993 98740\n22797 26765\n53062 86981\n67757 71091\n12977 69982\n12997 20868\n57421 77725\n34939 96991\n37382 55440\n18934 27506\n77701 99047\n81816 84013\n30365 40187\n49758 96549\n6060 50052\n33261 66085\n76482 79654\n6398 77483\n27833 28002\n58584 88462\n1376 62085\n23827 29167\n37599 61341\n27509 61394\n17518 39072\n35140 85891\n92185 92735\n6117 84209\n4400 53449\n58718 83491\n60703 94800\n40464 83639\n8705 97046\n1002 31737\n56824 77932\n38115 69434\n26717 90948\n76013 92861\n27779 73219\n8735 67135\n93705 99291\n73981 96777\n51635 66327\n38598 51680\n51391 99161\n36367 60711\n33439 79982\n73281 85991\n33178 33719\n34877 37577\n7627 17082\n21304 95430\n63356 74713\n13856 52801\n26737 91162\n50016 74309\n23760 98980\n80623 86549\n12604 61780\n49702 59797\n55243 71603\n41715 73506\n23453 41784\n15315 78361\n48106 80975\n46499 47743\n36771 46993\n14733 75859\n34293 61374\n49454 81860\n13257 66673\n6908 24812\n14777 76782\n16994 48242\n471 2804\n27613 41113\n82518 83325\n13601 81221\n34512 36931\n14797 34595\n8211 27542\n14567 86224\n60672 64205\n64206 97526\n42147 67002\n10908 18661\n14348 32208\n34044 59793\n35964 62385\n16614 80473\n3029 8662\n85486 96161\n61092 85858\n15534 52438\n14505 91776\n27480 61978\n61863 80383\n13396 26095\n37479 84010\n77174 89649\n4020 97513\n73926 76681\n32762 73999\n14370 89046\n14652 33628\n46590 66227\n37686 75551\n25021 93186\n9799 86654\n56820 90642\n1264 84284\n60754 76825\n65919 94939\n15908 50210\n20459 91633\n53 74756\n66006 67159\n43930 66344\n11440 30725\n18447 21988\n10097 60717\n25117 65284\n10899 93713\n82886 86960\n16699 31887\n77816 98873\n4532 33449\n22690 43058\n70666 94691\n24230 80300\n17545 43377\n54009 58705\n59221 69153\n11381 94834\n6190 13668\n39236 97654\n63040 86891\n93692 94489\n5275 35857\n21631 24466\n3482 58388\n64634 78668\n35831 64074\n33841 56401\n33016 74823\n11302 49741\n31124 77873\n62978 82588\n5189 12064\n36373 51717\n64853 72737\n55796 78102\n15338 57524\n39292 44749\n1034 70910\n6130 94624\n5477 94109\n22320 93613\n21056 99996\n21520 36357\n24502 90480\n38645 63577\n11166 29274\n694 56806\n9376 69067\n18747 74536\n10455 18398\n538 92961\n11718 96892\n22406 87163\n25715 72415\n35434 75675\n5339 88445\n2389 32976\n43331 44721\n20432 92181\n21502 66608\n18693 82758\n55645 88533\n53560 90498\n19388 64072\n4532 71229\n20878 63567\n54691 89790\n42543 66394\n64093 99322\n16611 55670\n37139 37890\n17489 32715\n37856 99484\n65431 80850\n41455 43066\n52184 79973\n21997 78574\n31484 64353\n33400 58997\n33578 42510\n49730 94840\n14886 27057\n23183 80838\n22347 82420\n21873 79011\n15218 35648\n4110 98376\n30059 76950\n14956 94051\n37182 94922\n6758 75965\n53840 88561\n22574 37744\n42788 47813\n39979 42834\n49796 68468\n4567 21204\n50742 81366\n15080 86083\n33874 45782\n30916 96256\n26985 71491\n76990 81487\n21342 59417\n84420 93638\n55736 84233\n52484 77880\n20109 38066\n4368 34494\n27788 50302\n78154 82769\n2302 83007\n11840 62423\n16389 81735\n21508 26121\n11886 38284\n11884 51249\n11442 38705\n15477 71913\n1308 79833\n85636 89208\n5883 42494\n71694 90997\n5928 50588\n73517 76569\n12162 16299\n44528 81517\n34533 54881\n44898 65311\n57736 99037\n18037 21736\n4922 83262\n198 13195\n7188 54380\n789 52941\n62389 75344\n27602 73207\n42318 81513\n20837 63266\n69785 88626\n8917 99375\n21907 91003\n27069 53309\n59166 93785\n29079 80862\n24728 99611\n18897 57993\n6955 91764\n25606 62708\n46597 52367\n19198 38555\n51813 82704\n18151 25748\n36741 49707\n37815 58215\n6716 38453\n2788 77250\n28486 77382\n9363 84312\n8718 94922\n67568 85705\n25375 25542\n11229 14480\n21819 87669\n525 15648\n72422 96436\n12802 77642\n874 86180\n56637 92339\n24503 97999\n29769 72704\n43471 68662\n24598 39408\n5029 60726\n84532 87164\n621 51871\n56301 87108\n28889 88285\n18415 76175\n12680 13185\n35131 45699\n22096 34437\n46225 75616\n66287 83995\n52777 54348\n84810 98234\n75676 85426\n3453 79155\n8491 61517\n30391 63675\n63642 70839\n15318 76232\n222 83481\n40945 85748\n44247 90838\n11876 97522\n88815 91398\n30198 58920\n6637 36255\n28982 48918\n36999 91272\n30817 51347\n48250 84241\n35630 67165\n56275 85824\n51787 89896\n62231 93033\n23253 23617\n19852 24391\n50290 71719\n13549 77951\n3650 18842\n63214 85732\n43909 78308\n32506 46407\n21399 31605\n70483 97062\n21780 59817\n51000 54322\n15948 82931\n13899 69293\n28512 55310\n60973 88524\n1716 20751\n20798 51334\n58832 62429\n70587 85232\n36491 58857\n58607 93368\n77841 87895\n42639 49515\n10144 89730\n2676 14852\n53770 92899\n25387 37635\n23872 54851\n77831 82525\n17684 55362\n69465 86454\n1222 27134\n31757 37038\n45138 98116\n20514 21929\n2757 3090\n9011 10783\n5189 19649\n18776 69654\n36160 69637\n65741 83175\n15452 53843\n29936 61104\n8945 61558\n40362 80544\n34405 63180\n41312 91732\n64747 81550\n51278 86465\n14931 35612\n22844 50254\n8808 42497\n54918 62392\n55806 74574\n44536 92286\n21862 31453\n17101 91898\n33668 36822\n25759 29762\n4558 78599\n44557 99715\n40581 41532\n30490 56726\n8232 88233\n24103 71259\n1303 58426\n22006 49936\n50763 70211\n36210 80630\n53636 73057\n44240 76537\n59993 84219\n21741 86042\n1856 52045\n34978 99034\n3032 29336\n21985 99864\n2038 19241\n38284 71248\n80039 88888\n41932 48119\n43079 91484\n90841 91118\n89634 91273\n23500 27548\n3834 51037\n12423 59676\n55592 63234\n23786 74838\n10443 83345\n31233 36886\n7508 27543\n43014 89832\n13346 95511\n57016 63833\n19878 84190\n30135 82638\n20092 65725\n43380 63914\n17509 87884\n35994 80851\n65629 81879\n59821 77526\n41365 56189\n24366 25034\n49618 59722\n55937 96386\n54290 55420\n71038 76936\n57680 80592\n59144 84619\n712 43361\n5660 88274\n36315 70852\n14425 90568\n1389 65646\n30478 47101\n5691 29553\n52711 56593\n23843 72121\n24244 90636\n563 76276\n32573 37802\n19091 66176\n25177 71786\n54978 95642\n63389 64089\n30028 97474\n27812 94072\n28241 33830\n80989 88773\n58533 96503\n51987 72900\n84277 88322\n21732 36184\n58857 73399\n12574 68667\n15359 41346\n19135 81017\n14742 94831\n30928 80935\n13620 76759\n38662 61741\n40664 40792\n35626 49244\n6771 39097\n37385 54208\n70157 90933\n55810 80687\n63827 86245\n2461 2903\n23230 43095\n11268 75415\n15202 70881\n42378 97766\n10089 41492\n13417 32852\n54370 96310\n97890 99602\n61732 65286\n24345 62937\n1045 62262\n3462 17442\n14351 31449\n14541 68617\n22334 99021\n65681 79456\n32338 52947\n21443 95298\n76568 91480\n62907 64980\n81805 85988\n10344 62887\n28680 30633\n62455 69896\n9693 89590\n70649 78705\n11508 35807\n23407 58046\n3021 31807\n71622 78684\n18363 82302\n7166 32556\n4728 59426\n5234 58998\n16886 34666\n55792 57188\n59317 95212\n3378 37955\n64510 92752\n21454 22229\n7157 73959\n131 70065\n8576 14601\n34323 56964\n24676 86996\n34552 70856\n41914 43311\n28661 89610\n31803 96275\n49548 99032\n6617 49542\n25345 39321\n55926 98280\n35324 68581\n56072 93338\n63933 83960\n41094 52264\n23770 49171\n59209 89592\n56831 87029\n5807 25348\n24147 93384\n26789 53836\n50499 75237\n45585 91809\n94780 94797\n2043 62346\n76341 98051\n24019 27734\n18360 66609\n55297 67270\n28781 91251\n31296 84721\n10060 29913\n52682 84675\n59384 66901\n56415 67244\n18074 86219\n65496 68332\n6716 23352\n10560 40988\n5372 48907\n4190 89032\n69065 76746\n12004 43424\n14922 34767\n21500 76888\n4143 93100\n22992 66689\n16786 18362\n11642 74870\n38037 91169\n12554 74960\n17642 53532\n71575 94882\n14734 15136\n14971 16489\n39745 90167\n83253 92809\n20314 89953\n2152 47477\n50197 99781\n2204 85454\n9323 82085\n21427 90470\n42014 42750\n48357 93557\n28013 55057\n11402 21864\n72496 93269\n41344 59377\n4551 39963\n75183 86384\n45179 85843\n51862 62471\n61657 94272\n20157 43889\n27639 56882\n46418 95651\n84856 87573\n31405 62959\n25064 28665\n12391 33221\n48186 75951\n6723 69307\n28697 74477\n26108 65888\n12047 89398\n93828 98577\n35227 36604\n72631 92912\n3958 78537\n24266 37962\n36850 75590\n59777 89895\n79888 90196\n15936 57306\n14323 70013\n49388 72317\n40140 54651\n3831 47051\n9049 21238\n95819 96207\n26441 31839\n31835 50825\n73888 90192\n39927 64239\n6134 10798\n6717 76033\n10888 31499\n24172 97927\n47887 88637\n2052 85248\n47603 96989\n84845 90274\n40303 58408\n54506 89395\n59941 98390\n34369 71753\n",
        "output": "355\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 100,
        "task_id": 541,
        "test_case_id": 33,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 100000\n12235 22384\n80629 82168\n40625 54348\n37560 47670\n74493 92066\n11110 63641\n23518 55697\n4498 70459\n27228 78652\n36202 59282\n12601 68014\n70279 80015\n21439 93731\n21515 77446\n54229 94251\n44529 96098\n68701 87332\n71163 98922\n64210 73176\n18500 59122\n31185 45412\n35394 66460\n55622 96558\n89070 99290\n60379 75998\n8506 40158\n30361 64088\n13571 62274\n71213 99326\n28579 42461\n15731 44343\n30469 33716\n54612 93988\n18140 32530\n30576 31520\n15097 34220\n20246 53712\n25770 90732\n31194 94159\n28966 59969\n45927 69521\n51965 96501\n36024 79879\n12278 87612\n48760 77068\n14058 15141\n30419 51075\n12886 96746\n5890 6270\n40963 88149\n52109 78995\n46513 60536\n11766 73195\n2692 52415\n16643 49764\n21177 76076\n3571 57465\n52419 68409\n19303 48127\n53004 91454\n38780 43846\n13876 26343\n3551 51802\n50944 98654\n9039 73663\n8374 78664\n11753 19801\n62186 74349\n80450 82616\n176 5533\n29141 97031\n6820 69129\n35096 80864\n2367 73527\n38562 59262\n5967 57544\n49407 68067\n3841 44407\n11915 33891\n14593 64525\n2286 89285\n23733 89604\n25836 27526\n13135 36154\n41856 73904\n51235 94453\n60622 93436\n27624 98737\n11105 20978\n16816 32140\n54226 90926\n33189 71264\n2239 82965\n18596 82647\n53622 91282\n37966 44382\n24146 76267\n30243 39191\n30636 33671\n731 68650\n70650 87838\n86684 88870\n8246 11276\n21531 35589\n39766 92047\n15682 54477\n30693 66816\n28930 31432\n62893 88572\n17018 51982\n81386 84712\n930 80841\n17877 67006\n58258 60285\n32743 78031\n14945 42614\n37002 56030\n17504 20688\n240 1589\n78730 95786\n74882 82492\n43070 53489\n29536 90590\n35597 51621\n7839 28724\n19368 94951\n2779 55199\n8096 34259\n8295 19807\n32463 96701\n78381 80964\n15273 95941\n59137 83875\n13821 27930\n84550 85017\n25026 73951\n22813 51018\n25483 76386\n11213 11445\n27816 71650\n65539 84448\n16117 84671\n46548 76411\n59596 64018\n56358 60040\n30937 42181\n53528 86043\n74773 79666\n53256 65680\n17567 72873\n78305 90531\n62236 68518\n49232 49872\n25734 33697\n23908 92820\n46098 79415\n50671 69189\n35750 72938\n20312 99772\n25704 82584\n29809 84455\n2709 39444\n46477 54114\n35072 96270\n13090 39903\n55037 78240\n41998 92612\n91130 98348\n82113 96714\n1787 41209\n58836 98282\n22322 44417\n18503 40642\n20397 54585\n62932 91874\n1514 54014\n30387 46607\n19689 43479\n72734 78849\n8717 15567\n75430 83764\n61758 94871\n506 2059\n76388 96566\n64771 78753\n17107 72336\n34216 81743\n36924 97932\n583 18276\n23120 95975\n14570 66311\n57471 72307\n29784 60335\n43199 79732\n28750 91868\n14292 45563\n26995 93852\n7557 30012\n76308 83787\n26262 63638\n54950 69027\n41760 96332\n16489 71975\n50355 66850\n5251 41728\n31886 55909\n18457 99504\n13045 62883\n86122 89192\n79945 92880\n91604 99947\n47502 64085\n78111 89858\n45802 91687\n61255 91920\n35176 94044\n44682 84118\n21646 66788\n36498 69596\n55454 83274\n77223 86294\n53079 89882\n15154 40808\n80147 83821\n7216 19483\n57340 99493\n845 31421\n1950 9023\n57841 88022\n26109 66295\n23422 88585\n4599 11132\n1393 85374\n30930 99880\n19101 91086\n5193 35108\n16847 85230\n45369 53841\n14664 55949\n23135 89214\n79502 82502\n50570 98908\n4117 32682\n14777 55004\n41514 97306\n51816 95354\n51795 65981\n1828 21301\n30185 80448\n17469 43705\n52543 97651\n1544 46145\n21449 36654\n7658 83533\n19307 85790\n27528 30048\n87497 91630\n13010 84383\n74008 80729\n28244 83094\n20412 20703\n24385 85993\n2633 71525\n52212 83700\n38661 52052\n64344 92013\n69780 85860\n83331 91620\n5570 57677\n50508 59794\n6924 84949\n8228 13804\n26761 69245\n57894 70457\n11646 58372\n48663 53231\n30072 58169\n18188 77984\n44110 94602\n24825 78473\n63419 95689\n17948 69540\n1086 46768\n41981 57309\n36619 85286\n11513 78548\n35099 89696\n6205 67138\n40821 86822\n29886 47018\n50641 86578\n30047 58378\n48820 97159\n30547 81898\n48800 68644\n66245 78682\n45380 50256\n13013 48051\n15404 64157\n42959 63073\n2955 71387\n4169 60353\n53752 68599\n16899 31292\n48638 86152\n32555 93522\n3214 65363\n53651 78769\n19358 31805\n6421 52537\n72269 92694\n22221 33643\n36382 96290\n31733 66954\n35053 50167\n2682 40378\n78317 88872\n57377 69590\n86284 93865\n36040 61727\n29280 58268\n12583 38667\n34908 79592\n25119 55699\n71734 85187\n57545 64893\n15987 29383\n9850 79969\n7664 37364\n15689 26711\n31969 47914\n30431 64226\n20155 75464\n20012 69863\n28039 83158\n52837 97321\n10714 60082\n66031 76633\n18528 41363\n15053 57853\n83108 84018\n23384 47402\n1480 59028\n59129 68117\n25744 74965\n32904 57574\n74334 78506\n38123 56630\n74952 78291\n39597 44680\n10345 74506\n36926 68214\n33179 87631\n42638 94911\n49921 60064\n42123 54037\n44405 79708\n59164 95768\n80551 91089\n37166 72576\n63274 68134\n3798 57635\n18826 61517\n21327 78112\n90161 91673\n48871 87059\n48958 98901\n14415 93350\n20468 89183\n23554 93058\n4236 60955\n21665 70878\n81678 93124\n42081 71041\n40153 73216\n44205 64032\n26224 65711\n70438 76558\n15017 24430\n17522 80631\n42224 62825\n54082 65783\n28780 99172\n19232 41586\n24073 48957\n25039 70273\n38881 81082\n18070 94432\n42391 53892\n39446 63593\n83717 87619\n8519 76870\n4265 62792\n1336 62795\n16476 32670\n90042 99664\n1214 20321\n5630 56162\n35821 64562\n6619 17075\n48831 60204\n57805 86179\n34952 37938\n48334 99998\n1559 19181\n29150 60376\n6166 38868\n48652 95355\n58995 78829\n44655 87306\n3724 58826\n43001 78850\n30795 63489\n44694 77267\n69303 81827\n75020 99717\n39954 68459\n34481 58115\n10663 52291\n12205 71848\n48788 54122\n15087 89925\n94376 96228\n20743 46813\n68863 83918\n14355 32985\n27234 38084\n6897 66475\n14944 94191\n5214 94503\n55516 75358\n46816 48874\n42037 85272\n69972 95461\n12284 97279\n10073 46989\n73209 76456\n87994 96893\n37044 74521\n23999 57150\n27361 84493\n5663 51753\n16762 40818\n80399 92993\n18602 88975\n2795 54396\n80646 91898\n42454 85154\n8130 71404\n26248 91459\n46857 91606\n30390 93708\n36684 75214\n63421 94401\n29415 84700\n19997 67672\n8440 84590\n22444 66284\n57656 71311\n9724 65807\n6774 89555\n31118 37657\n10029 76818\n86823 92312\n76275 89185\n51519 75905\n19421 98699\n12465 58018\n32500 65045\n56526 88954\n68676 73120\n22415 98387\n13338 41673\n18815 45233\n39820 47777\n21508 22838\n13594 79195\n69581 85053\n6940 70417\n29384 33892\n15725 87382\n11899 29807\n47805 90059\n17824 92754\n26569 50673\n51623 83543\n77625 78925\n54925 96001\n67558 88771\n28713 59413\n57822 64726\n57614 75442\n6711 96378\n41880 79519\n8621 69273\n31509 92865\n24134 71446\n81744 89099\n19556 28683\n3318 49449\n22576 55285\n4941 40124\n86626 98169\n67239 96922\n8367 80138\n7621 56494\n8906 42346\n550 69381\n77479 79617\n48906 70441\n18288 22019\n41995 95811\n10284 69042\n56713 64203\n8394 60764\n2663 21211\n341 89030\n58203 97329\n26476 87886\n40406 79473\n73157 98049\n17248 24826\n2875 24878\n18049 85836\n37344 54148\n18077 54542\n65057 78301\n11585 87050\n87449 91375\n21563 58752\n9184 21138\n39460 72831\n11028 56327\n43994 50380\n41705 62259\n39883 41666\n53543 86562\n16097 51878\n58226 91418\n12572 57945\n54758 69968\n43083 60997\n64070 91481\n61341 92166\n48582 78307\n16602 63264\n6239 89070\n86049 99538\n1881 84011\n18571 33333\n19139 43066\n6287 63088\n34715 81721\n36542 43979\n65562 80392\n50066 51152\n387 12468\n77437 80734\n22944 95606\n4205 52924\n3584 17850\n1430 48503\n14988 98636\n57101 89178\n64464 87803\n41919 90654\n21341 28548\n62364 74847\n9121 63649\n23384 85565\n29747 89519\n60131 88398\n82461 83579\n3126 17498\n20983 50727\n29081 38016\n36174 97676\n4249 59132\n11081 74820\n3244 59891\n47527 66328\n3371 36887\n43529 60042\n59458 70642\n11151 97023\n5896 11553\n10691 99979\n57261 97549\n47230 84837\n62376 90161\n30736 73777\n31586 63675\n57882 91191\n13227 65304\n30430 53956\n6058 42669\n75314 97788\n32658 39801\n33987 40250\n21394 83955\n1776 21841\n10355 15942\n52611 56232\n52273 68282\n2236 93696\n48188 70513\n59533 81892\n39839 48903\n55575 89723\n4578 31177\n30773 46427\n84391 88169\n10845 58118\n61163 80587\n63934 95924\n5923 93515\n34396 87819\n4412 23500\n56918 58270\n16205 79231\n12423 20758\n30575 36844\n8995 42287\n1009 11557\n2750 64097\n5000 64651\n20867 39420\n32673 97878\n42761 81746\n29571 60703\n45083 61520\n48829 70841\n40935 91098\n8513 88962\n18380 71095\n8008 65436\n2628 24855\n19273 77220\n72047 93299\n14155 45763\n37499 66796\n24897 50181\n21511 57130\n69192 89234\n61309 87711\n58568 62486\n76566 78771\n91785 92915\n578 64282\n56615 90255\n45386 58817\n21107 87876\n10253 81498\n40770 42217\n7671 62336\n8564 84600\n26322 62017\n13379 67848\n8984 92993\n15155 20623\n246 66992\n8162 87855\n88861 93501\n57841 94288\n45511 68107\n15479 91673\n47326 52013\n32860 35811\n1918 5273\n55748 84038\n60508 73970\n7491 68798\n59822 98146\n19041 99289\n12747 50001\n30050 82712\n75579 99366\n14137 40007\n32893 52569\n929 6903\n30513 87177\n6064 50823\n64756 92972\n29400 91837\n12107 46658\n246 34661\n38660 46405\n32058 49431\n10813 35026\n66478 82358\n36731 68024\n51353 57431\n16364 74127\n87629 92869\n92604 94805\n39748 78589\n5499 70641\n58130 65491\n32358 91865\n28550 59188\n27456 87276\n3657 43693\n33180 47459\n3441 93980\n9976 64151\n5524 49633\n66757 82496\n14772 93343\n80835 82835\n54705 92192\n63888 68386\n50363 66636\n64305 81151\n2 79027\n45326 62490\n36852 71330\n14662 17327\n85127 85378\n43095 72848\n20720 62582\n34543 90537\n156 65949\n53736 96608\n18034 26568\n79574 90288\n36097 81656\n33317 53042\n1135 81131\n5609 29047\n46699 68152\n53313 77103\n9619 97677\n27261 53686\n39230 51310\n78011 86890\n11252 16230\n25383 96414\n18584 87949\n34543 57805\n2949 56672\n5922 59730\n35910 93501\n29318 63493\n43073 67046\n11175 79625\n27741 94602\n63583 67358\n85611 88922\n51282 62297\n21977 62912\n73629 77905\n32181 39678\n35691 43092\n45933 77134\n9879 52698\n11350 68212\n12213 49371\n49886 94861\n19446 73425\n58714 90870\n21459 55283\n15657 45766\n24746 48732\n8250 10987\n7901 71233\n28674 58424\n23988 31443\n37399 74592\n41639 95368\n14322 64584\n9244 23934\n47662 97096\n29500 49892\n13393 26706\n27286 54606\n11728 97933\n2172 55991\n75905 92678\n26810 47809\n32506 76923\n3255 30642\n47894 96814\n31232 87364\n90152 95983\n38559 78838\n23710 63309\n27264 74207\n12540 65406\n55753 58312\n1060 30150\n4407 95903\n5139 72392\n28042 66598\n43441 77554\n30402 91613\n3547 31373\n87713 96509\n44735 89363\n51744 85635\n31741 56158\n7326 22852\n55538 73938\n7860 94702\n4344 6734\n6430 45657\n44621 81867\n8226 63833\n40381 51092\n31193 90713\n81296 91603\n9338 52893\n19865 27653\n8429 75047\n1828 63459\n42613 51056\n9348 69917\n76447 81040\n59566 92593\n53316 90438\n72300 86340\n11208 51398\n62309 98630\n25763 37267\n61220 98089\n48971 62721\n43362 75058\n45087 77736\n14290 48671\n4561 59846\n34311 86651\n55675 88414\n22194 28608\n32614 92780\n41984 61589\n38579 73567\n56598 93385\n43981 59546\n50329 86052\n61833 73689\n61803 78729\n42212 83762\n44047 45709\n66002 66390\n7541 43448\n15056 26935\n90164 92559\n23877 75262\n17809 92398\n46137 90381\n9955 25703\n15172 82178\n35661 86860\n29255 39072\n1327 83692\n4417 50817\n3756 36351\n16457 65891\n62099 72721\n16085 59283\n6606 61602\n27372 74158\n15606 28274\n43388 79078\n19535 74561\n8094 45650\n10695 93483\n31702 70331\n44900 47616\n5735 80959\n21975 87480\n55119 71312\n30406 93555\n50286 65851\n64729 65181\n9798 91814\n31692 57544\n8115 35068\n49297 85134\n46719 89949\n77473 86376\n19855 77566\n68685 77844\n6106 33422\n53886 90927\n4221 99914\n15504 34734\n12942 80056\n33214 50379\n3731 80196\n11206 74188\n19359 54722\n8905 69784\n56410 58282\n1875 9765\n21149 34394\n16508 77888\n74405 79516\n60249 86028\n45266 58973\n35329 36228\n8621 76370\n38972 60283\n75184 83193\n18240 47782\n46205 97506\n898 31141\n21364 26812\n3762 56646\n19844 36806\n40547 87826\n6250 83681\n44611 92404\n25872 82002\n12934 34872\n22884 94533\n20185 77802\n40043 42904\n41271 74860\n24252 33502\n23283 86955\n58593 81445\n10915 84461\n49896 70711\n41425 81611\n8375 78772\n34800 39622\n1469 4379\n65789 86002\n46435 85821\n17522 47547\n30030 56236\n4433 72328\n42512 44481\n22046 56762\n36723 72358\n20063 85801\n70810 79797\n15651 31141\n43193 43558\n32523 84429\n14896 44865\n13961 91993\n18221 34156\n6940 37521\n9946 25278\n8365 75901\n44722 98024\n52252 53233\n31814 83391\n47025 54839\n40021 82178\n62579 97134\n53218 60392\n4373 14812\n93977 97250\n22852 64515\n20130 80516\n3879 35008\n40275 80273\n13309 35404\n54388 67501\n48744 61645\n19051 64816\n35873 66970\n23798 56281\n13605 73194\n28529 81954\n66609 96833\n71866 91219\n77788 92069\n36004 92999\n1138 14096\n36314 67379\n12175 92136\n31171 69776\n63163 70261\n8861 49072\n75849 90420\n26151 60392\n9211 39169\n70990 83049\n57880 58120\n33020 62024\n2780 3060\n79457 84656\n31727 55786\n36136 43543\n3571 78373\n55218 78565\n21030 64822\n45287 80858\n14515 28676\n46829 48551\n8730 67277\n45350 51387\n7541 30288\n52464 73127\n50049 57752\n476 37858\n80892 84760\n20627 51867\n2708 27097\n55145 77054\n17035 28820\n54715 89698\n58850 90700\n4017 83715\n3301 44004\n19527 70560\n17526 45619\n80259 93692\n64597 82693\n48666 60332\n94623 97528\n1263 14307\n55011 98179\n47080 56201\n21485 33832\n30723 50697\n35135 89693\n23932 72656\n3241 6862\n16259 71410\n3101 87999\n28191 76749\n91157 96211\n19991 61883\n12741 80840\n5264 31373\n27100 68543\n27883 72766\n33513 63983\n28058 42067\n35497 54512\n27028 62751\n8986 31703\n66363 89807\n31166 71621\n4431 35519\n58273 65269\n45593 47437\n38334 58779\n45894 46513\n43551 47175\n10807 70926\n63496 91383\n19523 28561\n44760 52172\n17901 86954\n37254 58907\n25321 70372\n88309 96165\n26257 46749\n2753 86926\n25117 37925\n4756 27807\n6704 14522\n76725 79937\n25822 50343\n32407 33822\n23098 56817\n32881 39155\n65387 81651\n90921 94986\n49324 58264\n39526 61423\n13214 97511\n20441 74164\n19186 38781\n33715 54372\n71464 80641\n29592 68266\n39151 97892\n36814 43157\n56898 65846\n11318 67937\n13489 32757\n7860 61562\n73810 99867\n22691 38402\n15235 95988\n48971 56005\n9080 60378\n6873 29632\n15182 68712\n4503 57844\n19944 73432\n37319 82791\n15456 63037\n31032 88304\n15937 43326\n26809 81504\n42569 93183\n22695 41351\n19880 77817\n44204 91210\n13676 52889\n33567 86567\n84266 95383\n18503 32551\n6946 27111\n7438 34926\n7304 88497\n26631 79070\n6317 76431\n5363 15529\n41842 86388\n17562 82400\n15480 57549\n40874 80718\n18436 51956\n3222 73183\n49849 78967\n36782 40494\n60504 74985\n61456 97444\n4547 61595\n84568 92384\n63301 86447\n15844 25703\n150 59809\n57746 86969\n29362 90430\n24519 51109\n18001 71820\n62620 75753\n23617 59833\n71191 90584\n29399 92944\n32601 71843\n22051 33641\n29044 59335\n26663 33828\n32209 69881\n78238 93485\n40738 43895\n46559 95077\n41360 73163\n10272 72370\n4686 93638\n38137 83403\n15492 31716\n50441 54074\n1008 89769\n12589 79493\n3609 45281\n74483 97119\n10538 82224\n26100 31451\n47939 71643\n34990 46007\n47220 55928\n70422 99498\n24407 60496\n60208 96373\n25206 40290\n53114 84474\n15807 18141\n50994 69130\n79903 94655\n68455 75847\n39843 75806\n47671 66957\n3745 29514\n27430 80242\n19403 65784\n12828 83533\n44719 62910\n24248 64188\n15698 83479\n22148 60716\n51903 60660\n41131 95735\n8623 11641\n48199 77163\n11704 24159\n53907 79159\n33725 39652\n60328 92622\n23595 38452\n30539 44768\n21212 97861\n82504 95573\n11239 81101\n61834 99912\n1292 68749\n47428 83386\n9339 34386\n22970 32645\n58803 80480\n47923 82109\n17908 66325\n20132 30422\n3298 60433\n34971 93649\n36032 43038\n1140 35701\n36016 94875\n19606 50428\n24664 57769\n27331 89695\n4475 28339\n16837 85777\n58048 92025\n24318 58791\n28344 89017\n21766 76777\n25358 40664\n40567 65057\n59840 94413\n151 30594\n1863 9667\n225 84934\n67086 84117\n44028 70860\n25301 77747\n64051 89508\n8451 46704\n45280 95395\n11128 14547\n13694 16865\n9651 60503\n13299 47251\n37831 85040\n3087 85279\n5793 65774\n30449 65955\n16666 61180\n71327 76179\n52362 59403\n74989 91759\n32081 50797\n59669 96352\n70801 93178\n62403 93597\n37950 75144\n66272 89861\n21706 77006\n20360 96448\n35310 62587\n56671 68491\n77315 80765\n35392 75262\n37179 37274\n11283 14630\n35269 69670\n71395 73695\n4032 89222\n24054 90592\n83795 94366\n34569 94782\n32757 94813\n5500 76313\n57426 77410\n30015 93719\n31966 34714\n14022 66691\n18695 30844\n4905 75138\n3252 87642\n67036 74155\n9687 46458\n18788 75860\n46681 49852\n25008 33647\n37192 63548\n11735 95894\n38260 80133\n6946 12619\n39874 91628\n14034 72477\n21961 23682\n16752 36288\n96188 98837\n76800 81263\n18345 88353\n25216 76899\n13378 25487\n1215 5076\n55031 62917\n1622 71594\n3013 17261\n22195 29446\n80514 83957\n26093 61342\n8766 44344\n56881 67758\n70080 84515\n22799 95004\n2129 42267\n12439 19201\n23776 62014\n33873 88286\n73100 77822\n35590 76630\n9749 90186\n8825 78317\n5172 63347\n30260 49052\n7045 41819\n27890 55057\n16522 75377\n10449 42079\n55170 88082\n60395 79139\n92243 96376\n16552 79882\n11608 69712\n29035 68331\n2361 28964\n47683 50845\n65047 72873\n44582 66389\n46651 69698\n11143 11567\n11614 69243\n6068 56975\n2003 52539\n46108 57775\n68171 70846\n55766 76711\n45170 56487\n34878 82746\n1331 44438\n28314 49638\n70667 85156\n15952 23404\n24581 63544\n37734 55567\n44352 44852\n5870 27686\n18886 59614\n2172 98745\n52289 86373\n39907 72937\n22942 61906\n3263 22607\n44259 56705\n16051 74224\n35240 66646\n50232 65616\n25261 87135\n12645 83460\n42662 70251\n9303 53683\n38641 77998\n29286 59241\n16702 49796\n34979 66408\n39017 83353\n33869 46777\n9302 93202\n54357 66315\n9636 66158\n15455 99258\n42332 68872\n6012 99948\n11694 32960\n57190 82586\n82948 98526\n31730 37173\n1646 10721\n7624 44758\n8503 79272\n46975 91314\n36594 40202\n18122 48571\n14818 20308\n21652 23607\n47 73290\n53109 76875\n36517 93244\n34037 40112\n44190 63235\n44181 57274\n4050 86588\n37286 89808\n25369 50496\n16875 46665\n16292 39100\n46731 87488\n13571 98284\n29844 59909\n62006 86289\n23677 54482\n30138 40716\n94529 96985\n46922 71017\n76602 93301\n42568 70029\n20911 28826\n1495 56296\n39530 80347\n55729 79662\n30430 82655\n2236 20446\n42630 58603\n91132 92752\n50094 94452\n21001 84143\n24897 65327\n81239 89853\n4823 78716\n13450 67941\n42333 94390\n19144 77093\n31449 61776\n30527 44205\n65134 86525\n49504 98156\n38877 45072\n57845 92625\n25941 82860\n76990 96887\n15378 62899\n29632 56135\n78933 91679\n13311 59703\n15368 73113\n45220 84154\n63145 88551\n39048 44416\n3755 62233\n17208 31864\n12267 90189\n3609 34859\n37331 79218\n4435 45613\n53788 73392\n33782 48525\n52770 92781\n35477 38286\n50431 84554\n71172 93636\n5975 13885\n41146 79139\n23495 72738\n2849 42415\n11463 33166\n67428 69436\n18317 26101\n61107 78520\n44448 95890\n69897 97482\n54573 68169\n18309 43512\n31040 60334\n21055 81498\n1813 53032\n63810 84410\n12421 90642\n37975 66165\n4649 43634\n28314 91811\n8822 93555\n19633 64969\n54619 84367\n18056 65303\n48701 71799\n15765 44912\n18021 88555\n63215 73913\n6206 16591\n34380 43155\n15266 80654\n90177 95121\n43045 71670\n844 1366\n41097 75365\n49374 76309\n8723 76081\n26619 35371\n50726 67562\n14781 40662\n10605 90296\n41325 75807\n39676 76105\n76893 94795\n53073 73658\n48482 76406\n21048 95316\n56881 67266\n74618 79265\n7153 35157\n9466 33905\n41918 94314\n23679 62166\n69540 79291\n5816 59793\n36170 70406\n81303 81790\n67124 92880\n68681 87048\n54888 79441\n18753 48999\n9206 58211\n10653 40611\n81335 84128\n21175 87402\n77446 99248\n11512 41914\n39511 99363\n7037 22019\n29033 58711\n17084 48695\n24621 96202\n31752 52185\n5182 39022\n48738 59637\n48992 76689\n8674 99666\n12111 26627\n66971 67421\n18468 45515\n32207 78708\n43197 88974\n55944 98896\n57337 77116\n40283 52411\n17186 17477\n42592 71781\n80064 96900\n48669 67117\n1912 25465\n64444 65824\n71949 72375\n44650 45436\n32885 60192\n46668 76181\n30265 63837\n54736 97312\n72804 95158\n6134 56695\n3597 56065\n70148 74995\n74657 78284\n5837 76618\n20997 35662\n3301 15060\n23075 29354\n27461 97177\n39921 65307\n16634 54685\n33613 75777\n8528 75751\n35072 49357\n41990 51026\n33042 76351\n1928 23698\n32820 68926\n8136 51782\n14824 33266\n15757 52531\n55675 87146\n54363 81251\n34932 95197\n60927 63669\n43836 44995\n7384 7927\n82816 85370\n55779 75292\n76874 83991\n16372 96288\n443 45864\n28825 73284\n34932 58502\n44779 50188\n52170 52832\n12742 35572\n66439 74074\n653 21194\n27970 91238\n47019 77015\n7683 27472\n14531 65741\n32638 72474\n36060 89890\n63969 92539\n2477 58825\n75985 99945\n21389 25573\n4053 72451\n10253 15866\n5999 66306\n82685 89874\n11847 61605\n25966 46189\n20655 67641\n21429 86626\n76709 93097\n8171 30003\n20633 70681\n77302 96055\n21907 79568\n60129 82255\n90788 97023\n23533 50169\n36498 55959\n34129 81728\n3642 70127\n58175 77584\n9215 67549\n20892 28012\n34667 40628\n869 55951\n23625 76504\n43606 75987\n44953 58128\n57223 62505\n66819 92551\n2513 82061\n75968 89361\n52159 71164\n30316 36573\n37862 70581\n79343 90333\n69751 90704\n48364 71790\n25335 39337\n12221 33141\n22888 89518\n14214 43159\n27798 37335\n21442 60711\n35260 61784\n15788 51625\n47570 95336\n43179 95511\n80495 93535\n59064 62070\n12168 38275\n25007 46309\n56169 81756\n864 20643\n2279 17176\n83289 93971\n35733 84589\n40275 53264\n42343 75372\n47035 72187\n68083 80789\n15136 78661\n27464 64888\n42547 97826\n20770 33252\n55529 68217\n31007 34277\n6347 91184\n31398 95076\n62547 89352\n87578 92368\n4100 40888\n55128 92956\n54256 56811\n28977 67474\n10737 65558\n62188 70770\n16188 26556\n52831 89890\n58312 94870\n76847 84697\n37113 83527\n26889 93957\n34571 57550\n2122 79176\n64831 99686\n1406 17843\n50741 53487\n25049 76611\n46771 53411\n24592 37214\n58173 67593\n39605 54155\n25886 54248\n2575 76309\n12377 12748\n19780 99512\n28865 44650\n35457 64290\n39656 95912\n52577 60117\n30357 53618\n53394 70303\n74587 79026\n34163 54571\n5398 11353\n12257 23292\n21773 62384\n24972 70698\n23059 72669\n6167 60416\n4026 69146\n40024 62295\n51643 58651\n427 51978\n69718 94153\n62193 63104\n7144 36046\n54615 91464\n32397 91039\n6000 65518\n22795 99032\n67188 79918\n56575 57348\n36204 61442\n617 32741\n29395 59060\n22820 33727\n26205 99449\n47065 85801\n1138 75052\n74450 93314\n26189 60169\n18146 79582\n47263 65182\n62098 80912\n30692 55373\n29667 94957\n65 8285\n31395 90846\n29508 96293\n834 74231\n67585 70255\n81649 91993\n3346 89938\n40344 81482\n55288 81064\n6519 43486\n61611 68820\n50525 94152\n55519 82531\n30082 88805\n6997 56228\n46943 69451\n73548 98322\n41435 46313\n9382 43586\n26448 89675\n17925 61005\n804 71084\n16942 46065\n26418 44331\n75136 94480\n4887 76038\n45411 61383\n37223 67782\n17355 52429\n58860 99423\n23112 77607\n22315 49293\n50427 88494\n13465 20769\n40296 92177\n12658 39443\n18010 38024\n27304 38907\n21767 48701\n69957 75211\n26855 73276\n12194 75835\n27218 66430\n40620 93586\n2894 19336\n27211 45083\n41691 57712\n23714 56237\n14872 75469\n75572 78739\n16392 49564\n56829 60060\n40676 78284\n46338 60067\n36257 73433\n10351 95830\n37790 55783\n71173 92478\n20674 25638\n77495 96715\n49286 53210\n44701 76439\n64303 65247\n74620 83033\n8957 66872\n1675 47011\n43100 97773\n76647 77466\n2173 4024\n1962 41108\n72778 84895\n25537 26772\n25244 71564\n22537 39977\n48038 86652\n4107 64180\n23785 95503\n20704 91806\n10129 93643\n13618 14246\n6422 95026\n78746 81410\n6532 33773\n58377 91280\n11106 57925\n12618 40582\n31061 90040\n61812 96028\n20451 41045\n31758 39514\n85179 85500\n12421 89098\n21640 46558\n4142 8857\n9487 51266\n12317 55194\n3066 20603\n33211 67177\n82865 85499\n48271 68041\n14676 60799\n22907 42339\n59747 74566\n9484 81236\n34877 52881\n49782 49804\n28443 54256\n14821 91633\n68520 93565\n76876 77615\n24146 38757\n16719 88972\n19053 75465\n40491 89446\n21819 74356\n50885 74414\n61962 84222\n77850 93594\n8528 49528\n39912 90240\n45938 55303\n7881 70514\n1368 92612\n6950 85354\n59641 64673\n96057 97770\n74366 91487\n13989 18082\n80177 95608\n26702 59215\n91443 92222\n16316 62608\n66043 67419\n28837 90402\n36007 85605\n64936 71140\n5687 99827\n20430 29927\n53178 59858\n28483 93022\n29782 67920\n58810 92988\n4808 50469\n59349 74387\n38656 71272\n23808 56151\n6570 13833\n56649 81884\n17896 21125\n7095 13820\n81089 99300\n43022 47528\n23175 37020\n27321 28757\n12981 87101\n75921 95254\n87462 92186\n64190 94102\n22022 81042\n51393 56540\n47510 77950\n41695 70576\n66666 71498\n17527 56223\n58112 91225\n9666 95392\n67790 71215\n58400 71665\n13355 47563\n17270 63392\n33414 42227\n11361 96177\n38766 39897\n43430 93409\n64170 71847\n29653 35219\n59636 71447\n15187 63400\n3816 76034\n38540 80904\n7704 96920\n21600 83365\n14769 15701\n14538 55674\n26395 82389\n31305 53964\n30385 93611\n73684 80869\n2089 40919\n46543 86425\n13972 77207\n29622 33002\n1473 92186\n47130 47282\n42772 71631\n3018 67318\n14770 31703\n36426 48400\n59935 62517\n4980 30450\n5865 26199\n35700 41523\n52276 53733\n47308 62697\n10247 17351\n10106 44357\n36333 66157\n51973 63168\n41034 65589\n4801 58559\n24392 85480\n72751 90060\n20051 83674\n38825 43159\n3982 83062\n24717 99923\n20175 92006\n76056 85021\n3156 17426\n29424 43442\n19836 55607\n5700 35855\n58144 91085\n19508 61003\n39064 64226\n3465 15605\n54962 87520\n60644 97682\n22263 47617\n2077 85147\n54823 95621\n39779 66370\n60584 88042\n14696 65704\n16986 76066\n87098 89437\n1973 25637\n49689 93301\n36934 61905\n17212 39427\n62355 84243\n3762 24428\n76688 89697\n43726 99091\n41137 46653\n36172 36349\n19580 20080\n17905 98041\n80078 89667\n13920 42906\n3897 4951\n10443 83020\n76953 94233\n13433 38393\n5388 29366\n56154 56799\n43861 83486\n55188 81844\n406 58233\n45220 79196\n32190 40187\n457 69592\n20949 31495\n37987 76335\n75663 79266\n17614 34398\n53523 95344\n9845 85305\n7108 10555\n16710 41496\n9490 14133\n7374 36702\n34257 85365\n22457 70289\n38784 93290\n4027 38043\n41106 74321\n34577 65877\n19908 23691\n43754 66920\n24717 36802\n69961 96454\n33314 51347\n39020 45234\n33620 59575\n35020 40542\n62159 81867\n24295 78015\n11968 87974\n63537 73378\n51569 55301\n25916 53554\n46058 94144\n6452 15831\n42243 56812\n39771 42262\n27280 39586\n4475 52584\n73962 75468\n10323 42825\n20646 45196\n29566 99144\n96144 96264\n27987 62913\n6890 75268\n72109 79543\n25177 51785\n4033 10420\n69029 85223\n42095 78693\n44175 72690\n15101 71965\n34328 88154\n59535 76900\n25270 47541\n15177 69965\n36603 73334\n52207 57166\n40629 56140\n50856 72852\n4349 62469\n35127 93908\n10694 91481\n65664 70399\n9149 52359\n18626 99506\n86029 90350\n45205 69773\n42956 62661\n44397 46018\n2134 47299\n80515 93570\n10730 56099\n46347 52835\n3134 43419\n21825 84810\n17064 94937\n51520 79897\n75514 75697\n1180 79751\n49693 60359\n5101 20620\n4077 5850\n33398 64929\n405 10305\n21835 51762\n9865 58347\n14683 25890\n48122 60064\n4981 74960\n59011 88047\n41665 47324\n62830 79796\n7093 25110\n65092 83368\n34890 52654\n18720 40967\n21296 34052\n64428 95583\n30843 95968\n40450 66556\n13411 80753\n56203 85627\n13427 94537\n47757 52226\n23866 45406\n30699 33759\n11658 51017\n63055 97585\n12102 94146\n48351 74659\n41034 70154\n62465 77121\n26766 48267\n2391 61991\n30774 52620\n61643 76110\n15400 79723\n1443 82139\n68320 85659\n4025 44972\n19271 38591\n6685 48248\n20262 36111\n32789 55761\n65577 85832\n62032 73398\n45542 65229\n68310 77117\n35391 65173\n51135 66094\n55319 56892\n12887 32802\n40654 57929\n32418 56594\n15690 98497\n47062 59699\n29985 98660\n6096 87802\n2542 67593\n59842 66544\n8477 88635\n83756 97724\n34182 95194\n38796 63098\n28871 46287\n11565 61757\n39832 42617\n9172 11094\n23296 98824\n10977 79354\n21131 38255\n27580 43771\n5598 96640\n31390 32798\n30808 90876\n847 8286\n316 69539\n26608 44284\n8481 75969\n13246 95583\n64142 97456\n15101 99994\n33471 94342\n26473 60691\n79454 85693\n59463 62207\n34634 72640\n3308 24737\n65109 93127\n64280 72023\n60849 74291\n79257 87300\n21911 43804\n32206 72636\n23673 96775\n1155 44338\n23971 90585\n74476 80549\n5333 86325\n89138 92613\n27745 99882\n1062 28330\n45873 61852\n7758 59507\n58810 97308\n49396 60865\n50108 84073\n25293 81826\n20283 81768\n37719 86096\n26466 86490\n33879 40952\n7684 79591\n31673 93215\n43329 86218\n33527 52351\n32156 60686\n35318 82296\n47240 87481\n21432 87103\n6461 24068\n3264 71578\n38637 70614\n11076 40496\n64641 95397\n20363 53284\n36929 91554\n54967 87638\n24395 37660\n31704 54093\n7227 98499\n25504 87975\n37483 78663\n23569 79967\n21950 62549\n20436 27365\n27751 66892\n11552 31105\n46756 57117\n28354 50221\n27109 92951\n51441 73903\n4742 75022\n43959 84274\n30667 92370\n73529 75292\n78783 99031\n6180 65040\n90302 96487\n32604 35666\n39458 78871\n4452 83399\n58034 71745\n10821 57642\n11879 52953\n6808 27564\n2788 16504\n42967 87046\n41666 72110\n58936 72996\n26138 56449\n40358 63374\n71125 97411\n14760 58096\n62867 79642\n30814 48705\n40841 78968\n63892 92140\n33973 51602\n15115 76538\n6097 50351\n6149 88623\n8139 77773\n60410 96666\n55634 78085\n37627 85027\n1662 14770\n62170 86061\n69738 98214\n1538 7494\n23885 72000\n19709 44918\n71867 80837\n82382 86513\n94609 98892\n45824 73903\n1017 52416\n17420 60891\n36184 53557\n45223 56652\n59897 94288\n27727 86849\n63184 95588\n96833 99347\n30524 81335\n53455 89550\n54771 92434\n93309 93685\n80785 82553\n28342 60156\n34937 77843\n77770 87070\n7546 30864\n75151 87279\n41605 91630\n12096 23599\n29181 69522\n56604 95068\n9469 49721\n72817 80811\n23246 96175\n59132 63869\n2341 74546\n37611 77100\n41872 75635\n66886 80431\n10330 68098\n20247 53965\n24601 93522\n25203 50765\n23148 30854\n9353 18463\n34781 57102\n887 7705\n83376 88742\n43553 86939\n62271 75272\n14114 89383\n51705 65495\n36629 82245\n5187 9504\n22779 85355\n61325 93137\n9043 61732\n60733 71733\n19266 72025\n44676 89067\n25335 50134\n28681 51434\n38465 88456\n63849 79306\n21835 74243\n38046 84068\n41232 94781\n15317 57500\n21081 91643\n37063 63025\n39922 61267\n68237 77221\n31487 40357\n55636 64206\n5038 11342\n24909 33626\n1840 65085\n33023 61517\n14610 28773\n54724 73036\n44503 65781\n44745 87472\n35998 84201\n37430 37477\n51187 80863\n49959 85656\n9306 90183\n14173 74853\n25415 31046\n16273 62263\n6120 62133\n30864 60877\n35657 62754\n798 29937\n7387 12031\n18535 52762\n40429 73591\n24932 32042\n17291 44649\n23414 49856\n39385 71214\n55195 84906\n42470 83388\n53260 71367\n998 59831\n17153 54770\n33835 38746\n56640 73273\n29916 71293\n3648 12037\n11688 40011\n36598 51757\n24902 49792\n35433 48974\n26025 63457\n4252 61022\n22585 57215\n69150 94650\n28165 58512\n25051 33529\n33102 46210\n14506 33448\n72029 81912\n5673 72176\n7835 52203\n89 18518\n48824 84095\n33142 66021\n52400 56281\n2052 61525\n27194 79109\n7726 80865\n53727 70978\n4535 80734\n8 84321\n5610 75804\n45368 97439\n42658 72336\n75053 90982\n7180 55425\n26679 58457\n57733 80562\n47493 52781\n20527 85199\n92484 95400\n62327 62897\n4839 66911\n71966 83125\n28183 90865\n40619 51613\n26007 63606\n52294 62091\n20811 41859\n71705 85191\n12838 68169\n33739 83253\n16264 97943\n7492 40923\n10178 70963\n62179 71178\n79560 95076\n11613 42828\n27844 74280\n45523 68987\n15715 59164\n37048 55269\n50690 54621\n39272 46623\n55829 66656\n65320 89223\n59967 82241\n17814 83348\n62186 70471\n6070 67006\n43766 93854\n45615 69143\n52753 53496\n13826 85008\n42849 61955\n50687 91808\n46978 81754\n37522 72326\n40880 97912\n15634 41714\n73802 80667\n32966 70488\n67082 79441\n12595 95158\n7626 27057\n20243 94988\n5286 26692\n74070 98307\n87442 93110\n42753 67280\n44233 73702\n32177 77160\n6939 40895\n68402 83428\n55808 94476\n7244 29007\n85434 92894\n57671 63379\n45211 45229\n75988 95699\n37698 55452\n13943 33526\n29378 33372\n26746 76970\n14152 54324\n5436 83210\n35211 61865\n26620 77725\n29563 40211\n17179 54524\n22107 33284\n24988 83407\n6241 18586\n18373 69226\n31024 94166\n21813 76960\n31812 78104\n46751 49480\n30093 63072\n6376 20973\n47798 91086\n64544 99409\n6877 8002\n12796 75459\n43968 80504\n49271 63483\n26473 51657\n9557 59626\n6179 55511\n39952 71613\n13404 94613\n76565 87960\n77055 86966\n75284 79757\n14535 45386\n5367 6543\n57680 66709\n28583 66970\n49553 60318\n85184 97249\n70594 86208\n23302 34493\n39083 40275\n85762 92687\n22054 47326\n72510 86856\n42791 91994\n22534 42395\n44925 45002\n18742 39437\n22369 77173\n70893 91167\n52927 99997\n70223 88737\n24416 53652\n5706 86745\n29614 62813\n33592 58408\n80983 83908\n53301 83797\n44403 45834\n11357 29277\n24836 44238\n43653 92361\n58792 60676\n22753 25630\n29166 30723\n50695 96234\n43223 50428\n18654 74600\n1584 82171\n3895 31539\n28505 51318\n14002 89511\n49845 97610\n1325 83107\n41353 66120\n24695 76782\n10197 72345\n65325 96947\n59024 97305\n65844 75186\n13723 32682\n46397 95777\n9732 83228\n1936 12939\n30648 80277\n71510 86359\n53057 75933\n30923 56675\n49834 81587\n79768 99061\n45266 49071\n91295 93348\n13794 68144\n2243 21563\n37323 43777\n39852 71702\n13697 56286\n27499 52292\n41206 63944\n59352 91643\n12873 13912\n66874 96060\n3164 21905\n37853 76872\n9042 59826\n11422 69831\n9474 22096\n26813 61317\n14451 24602\n10642 90052\n3848 62098\n2029 95331\n25156 78587\n20489 48357\n41560 44049\n36664 40604\n36721 71729\n28083 31589\n55407 73776\n39499 88382\n2495 17568\n43597 54389\n11314 39699\n5140 78966\n18278 51039\n74804 94368\n10990 22684\n35442 90207\n76134 78760\n15705 92402\n37269 54951\n47035 97596\n62346 86598\n27778 28366\n2179 49035\n19294 96170\n626 57792\n66204 69730\n21970 32105\n52980 90824\n70797 80772\n14085 22458\n39390 79340\n21549 79252\n48910 66706\n14965 94462\n19740 39341\n47766 53484\n52777 73306\n28311 75004\n16920 19519\n47171 83377\n11715 59019\n25061 70938\n48366 73117\n17507 54583\n48308 76759\n23558 63193\n69228 98783\n24967 28145\n44750 65528\n3727 40156\n66166 96852\n42000 87610\n1485 8272\n20603 90789\n48922 52756\n29922 62820\n162 11407\n41949 74953\n49553 62955\n26161 88725\n21963 71628\n26646 77588\n245 70115\n9690 60879\n24060 63537\n12023 78008\n53940 74170\n525 91002\n17855 63044\n37681 71409\n1393 70310\n58459 65764\n3491 86393\n39122 86266\n23366 29931\n62426 91638\n33534 49429\n37363 44491\n36482 55341\n15962 45662\n14276 84663\n71313 95906\n2044 8975\n66070 71684\n45569 45852\n17764 95461\n25060 80492\n17652 76313\n49064 52567\n42614 74559\n9640 72115\n91509 99690\n56396 75323\n10838 21918\n60325 68790\n8412 11054\n70044 92024\n54025 94785\n28845 97493\n14597 84754\n21007 71821\n20724 79760\n22124 32940\n73083 89045\n19919 81367\n22349 90139\n25035 85867\n53180 80256\n38398 81873\n78704 94723\n60142 69163\n40503 98237\n75415 92399\n86306 89669\n36940 52407\n19516 71818\n1044 34458\n66876 74112\n58410 71129\n62172 85654\n33855 43598\n29759 42573\n15453 50601\n13043 30084\n34756 81525\n5635 34689\n80131 87076\n20634 24082\n16116 80522\n87998 98810\n36841 76469\n45285 91985\n18968 49164\n11590 56295\n82093 87341\n10325 15208\n11263 60164\n13693 95737\n55598 56265\n51024 63184\n80976 84505\n4113 89445\n95285 96082\n31470 65625\n34105 94811\n10274 34911\n24003 88436\n64503 76855\n8023 80164\n49567 80443\n21123 73333\n25139 27837\n49449 82669\n77740 81021\n44011 78704\n77503 82627\n18714 50868\n59596 71592\n45512 48746\n6087 92366\n49281 88146\n6339 24833\n86282 93074\n62796 82131\n6046 17384\n15954 89777\n62467 83879\n32475 42631\n30316 53813\n2377 91782\n14357 70281\n21571 24459\n11584 74994\n3023 53236\n16021 20792\n30378 47667\n37111 49634\n68829 87975\n67839 87723\n26761 74681\n13091 78502\n41913 43385\n63604 96422\n46939 84909\n52202 91535\n28179 60064\n10245 79433\n329 45746\n83482 91877\n53417 86451\n27438 98796\n54829 97687\n41891 96612\n16684 22384\n3308 37328\n6721 15686\n53745 64521\n49112 79332\n48582 70335\n11371 62541\n47022 91425\n42830 93042\n39917 53818\n32559 35181\n48522 56135\n19703 72921\n80509 82784\n31128 65137\n55638 83602\n28351 54766\n49045 74383\n12486 85014\n32340 43183\n23046 39863\n32779 86202\n44064 74811\n5349 38411\n18246 62380\n64234 92710\n24700 68525\n25186 93216\n13209 51859\n4948 72034\n25124 54058\n1987 18967\n38867 95472\n33662 59656\n19707 36896\n45571 50729\n60128 89862\n37255 62039\n15195 84029\n1090 13834\n50931 72987\n10612 80812\n1712 71844\n71197 75199\n7015 16942\n62406 63255\n25670 59255\n1993 44271\n16467 45689\n61532 68433\n32469 71965\n2042 76991\n10229 62983\n30225 61880\n44463 50575\n19252 91215\n661 87612\n11643 24611\n30491 35595\n54139 67869\n22967 83876\n67490 90648\n50976 52543\n8048 87005\n34521 61154\n42877 50992\n26223 59759\n4464 35988\n5061 42725\n52462 56813\n15498 29848\n42735 69483\n26051 43329\n63463 82711\n27807 41630\n13326 58900\n18790 32823\n49668 91967\n3609 63085\n57212 67279\n58009 78361\n17287 31412\n62266 87200\n67793 82085\n10976 42913\n86855 96049\n55960 98484\n44070 89318\n7173 26507\n21961 81469\n22125 59992\n4552 69975\n7094 16061\n33367 86305\n39000 71406\n8972 45231\n26840 29613\n1409 11921\n35803 58145\n5443 6658\n37298 47588\n2623 28668\n65878 94814\n70225 91233\n69103 84551\n27096 43563\n47314 95356\n13129 74179\n58295 91063\n49781 53775\n68690 77413\n46747 75741\n17060 24509\n17897 21103\n18539 59157\n14346 24437\n55844 56202\n8685 88968\n43994 78384\n11526 23659\n48235 86473\n84776 99759\n24720 39225\n25809 72158\n78521 96778\n34004 59521\n33765 95701\n8422 97287\n41905 81108\n36616 87871\n21313 39277\n26081 41027\n28116 42283\n7956 65232\n53185 94288\n33498 40593\n58325 71643\n55829 98396\n58533 75545\n10572 68417\n34991 60547\n2436 83324\n19090 44140\n9195 50901\n17830 88895\n43968 55179\n52659 93304\n43547 65978\n28338 61662\n3794 84208\n67741 96186\n72778 93511\n55101 76492\n10455 38515\n16289 84730\n23559 83697\n26463 57508\n69106 96404\n28242 87415\n25558 82850\n22903 27209\n48357 82632\n9623 78976\n9155 90026\n33430 41876\n47047 72282\n35569 50048\n20467 36003\n4941 54482\n42919 86814\n82795 91519\n44878 75596\n81679 82975\n23126 98619\n15618 44907\n44621 80900\n88922 92676\n21885 31850\n5827 79060\n8531 55690\n1441 29359\n33190 47043\n3187 29331\n18236 71382\n14108 56813\n64914 73925\n70374 93587\n7541 98632\n73209 80693\n25798 71795\n16430 48113\n69616 92983\n37081 94154\n75939 94721\n14687 65910\n66394 88542\n8370 76696\n53907 83764\n19338 78549\n35259 53359\n26894 96721\n21653 54314\n3683 84503\n28964 67974\n25337 52507\n10110 53151\n14630 27634\n94355 99055\n20777 93051\n44558 93162\n54648 64597\n27088 69882\n92396 95572\n28739 38250\n94981 95467\n7056 48942\n43254 47328\n28073 67902\n56601 59393\n4079 71423\n19399 85444\n21427 53702\n2553 56646\n10584 93910\n32732 51334\n65705 69623\n54015 69464\n69158 71982\n36356 56777\n25678 36785\n27134 90630\n78362 89815\n13717 41661\n145 75726\n32711 39106\n12384 70623\n26774 79975\n6903 21085\n21103 28948\n44188 55806\n19264 21140\n4780 95527\n75073 87673\n5828 59884\n8430 89215\n57339 59633\n20617 63974\n82396 90877\n43440 45087\n18167 36353\n8033 40534\n52507 87464\n75711 89708\n22337 28910\n47994 66730\n54000 82625\n17227 21285\n18667 22282\n43934 81762\n1597 32168\n7126 41401\n14013 99836\n2834 19846\n72450 88738\n5339 61546\n8818 50520\n51631 90359\n16480 49567\n15546 79343\n22081 60700\n37007 90790\n62946 95508\n89201 99096\n78649 85957\n53351 93482\n4150 98643\n24986 75164\n7661 67501\n56483 77513\n33251 84658\n44891 75454\n50991 89905\n39662 86655\n14741 94057\n84240 99381\n10877 63621\n9179 36183\n70867 95084\n62193 89857\n64253 90178\n19115 77126\n58869 97524\n37675 40972\n22370 42894\n37784 79834\n43163 74359\n12852 21822\n22894 64054\n18567 58156\n51046 83986\n21186 87454\n60858 68189\n15336 71639\n1079 85409\n58736 80803\n83112 96915\n3957 77229\n16425 85008\n39327 76705\n52024 89141\n33656 78382\n9957 32175\n47770 90383\n1471 39019\n31200 35781\n10842 54841\n56669 58594\n33749 90434\n46295 82557\n32712 87488\n23546 85291\n30199 35475\n1760 98152\n15069 85322\n54221 86246\n30814 34068\n2057 67613\n1993 42554\n35666 54805\n45896 52438\n56346 90166\n8812 68661\n11305 38182\n19198 20506\n4072 10350\n42271 50059\n37227 37873\n31771 35572\n32363 39011\n2058 89520\n59002 70368\n17664 40649\n49989 93586\n21900 83909\n33988 89392\n5224 30265\n10718 67272\n61750 69529\n22431 93019\n3393 99481\n5226 39267\n18335 90530\n13357 28721\n38142 63358\n41541 61289\n69469 97738\n50530 53316\n18047 56066\n69583 83989\n10201 99261\n34154 85025\n12914 13548\n5604 47945\n83962 92856\n49864 89392\n38435 58701\n16398 70245\n53491 80390\n293 83005\n36569 62582\n23173 75436\n38416 94017\n51475 64206\n36853 53492\n6607 13007\n44049 51644\n11848 48812\n21821 27676\n15182 33236\n39969 96969\n4790 84822\n69570 80112\n38262 55774\n56759 74507\n17617 39500\n15714 52999\n44034 87423\n61149 90764\n22768 30515\n70876 90420\n29499 36593\n39113 73683\n40202 91052\n66991 95033\n29047 75925\n63245 78309\n13523 87628\n35771 46067\n14926 60776\n10183 96776\n42231 73236\n50881 72323\n57946 76674\n40340 93062\n19311 28667\n19534 30843\n26989 72331\n26831 72612\n5330 47154\n1548 75767\n85301 91323\n32710 81330\n38119 88037\n45112 60093\n20488 52911\n71674 83528\n6547 37144\n28191 93464\n37899 90018\n21291 52114\n53021 97198\n11345 85120\n17271 63750\n834 62947\n11558 31765\n33670 88729\n40837 98585\n15647 56403\n17008 42476\n32928 82378\n79886 88025\n32810 93459\n23563 98629\n5941 54399\n10255 43290\n53623 59396\n84726 87913\n65875 71942\n63571 68392\n71222 82922\n7706 41925\n1690 95911\n52297 65908\n13170 73696\n70888 82838\n66973 83564\n998 46700\n38873 67794\n27369 98672\n78568 92189\n50088 63567\n32467 42126\n42464 58651\n56895 66298\n2571 8559\n27014 43374\n3395 71800\n12471 22660\n27599 47830\n26652 66931\n13348 87524\n4022 44196\n14311 56144\n15940 46539\n8467 77473\n23061 82651\n68376 86148\n14601 81930\n51281 59593\n5137 11936\n13616 55513\n47899 49198\n61375 90069\n33345 80849\n11744 42911\n8199 29366\n40616 60364\n12594 39512\n2868 47935\n7210 89051\n44042 99324\n2398 34262\n88863 97605\n19451 69975\n11052 78159\n9862 49861\n68519 82826\n55456 83538\n25282 94217\n56436 69318\n29918 44799\n7037 92219\n18429 70410\n10931 41781\n12983 63872\n49789 90389\n34842 81694\n83706 83825\n61372 74083\n3133 15434\n81165 86844\n22312 25112\n689 94741\n20468 47352\n17454 70584\n36930 95650\n24984 91546\n16590 92913\n3392 3411\n5702 38908\n31637 79531\n64421 92325\n60966 95610\n21725 25824\n30 43332\n48417 55607\n20092 86561\n75931 90792\n7207 46546\n26139 80844\n96204 99133\n23481 55429\n76237 90291\n35431 71376\n71074 86459\n58713 71025\n76056 87454\n16301 22006\n25696 31189\n21868 32262\n56383 72760\n6228 7720\n6722 58619\n54806 88508\n26659 78615\n37752 90878\n27477 84042\n65912 98921\n22736 67638\n37554 40768\n12224 99149\n32732 64048\n2125 19249\n57665 87276\n8169 96823\n9332 58113\n33700 41705\n16162 21817\n32459 43482\n23734 94119\n21305 80126\n29928 99028\n7054 65165\n15165 43548\n29297 29357\n935 47071\n22199 29161\n10895 12305\n37712 68578\n12207 25370\n4837 98764\n68926 82798\n16561 96966\n77675 85226\n32825 60153\n85007 87333\n55586 82512\n55236 89578\n23513 87836\n49416 52317\n1381 68229\n16494 66339\n28776 99775\n2659 62566\n83046 97973\n6801 75573\n36787 97870\n18867 58967\n9832 54431\n6352 92051\n54154 76637\n44282 64377\n26788 54739\n22053 78218\n12515 83537\n67150 86532\n70682 78226\n21085 45258\n54958 58326\n17114 91949\n58910 66242\n41797 65390\n19162 92124\n377 47791\n31818 57359\n17154 88007\n84082 94373\n13416 52037\n21962 86160\n42266 83382\n24287 79547\n20906 63094\n37746 66453\n17203 85221\n12262 61590\n32442 63071\n11538 90291\n40968 66681\n11488 46708\n29980 98488\n59958 66709\n8702 67555\n8995 18987\n76242 92096\n7300 12208\n22421 23804\n16721 52531\n6689 49594\n4340 47787\n5630 98331\n78387 83623\n23468 71606\n60686 91584\n13915 53087\n10863 67625\n20166 27162\n36867 78011\n79737 83850\n44165 96335\n15984 85718\n80209 97089\n2546 25912\n25788 35782\n4453 96518\n28095 39962\n43426 81888\n26320 47887\n34851 49283\n52026 58736\n64884 81385\n7106 40672\n40576 61139\n23053 94053\n55803 70169\n42103 78280\n12593 77750\n30784 83346\n24934 66722\n19422 46958\n85601 99603\n61309 63815\n17298 17434\n8640 82701\n9200 48740\n168 6230\n14577 26112\n35861 69579\n14830 95174\n26060 51157\n11278 13825\n4413 21185\n1460 66856\n40590 75744\n17918 88231\n37970 67133\n20054 61545\n29052 76108\n18633 36564\n65809 85776\n28547 89050\n25494 77501\n21441 35746\n62843 87620\n9077 29140\n8797 90325\n29202 92821\n86405 98822\n35408 90737\n36170 84115\n6410 64736\n57285 87295\n14368 51477\n85924 89462\n32669 75800\n3290 29518\n29625 36337\n5968 56565\n50099 84937\n14178 37963\n30701 46957\n52868 68355\n47299 91866\n17452 87522\n42628 98049\n19151 93396\n40805 65787\n53142 65238\n38129 41936\n9253 84862\n19303 59461\n48262 88752\n6821 45696\n74567 77243\n37953 62047\n20584 97113\n29680 43513\n5370 17394\n50080 70333\n67927 90989\n84211 96895\n21588 61697\n22451 91491\n39635 60422\n47906 54805\n2021 42578\n95138 96303\n34058 79497\n22378 42837\n59709 66258\n15809 64704\n57296 89119\n6405 32099\n6195 16802\n74479 86295\n13031 15475\n16584 18577\n46565 85722\n78477 92418\n26977 52971\n34005 75953\n10312 44559\n27893 77123\n17401 46317\n39905 50198\n69733 71284\n31772 72166\n90005 96783\n48540 87921\n5505 80727\n54296 69372\n45838 67973\n44007 57743\n34282 56954\n3005 57342\n49432 65362\n50156 71484\n30557 78655\n19739 97667\n6020 42515\n11435 77563\n62447 71101\n17661 69020\n48413 88246\n9550 92857\n53296 81166\n21789 61185\n3871 86803\n17951 32356\n15876 44617\n37119 54120\n794 74344\n59875 94181\n41626 98985\n21855 91943\n36678 50328\n64312 99114\n24256 26257\n84966 91153\n14262 81863\n47224 54250\n57541 83750\n27225 93841\n1177 16995\n34540 41017\n29240 49492\n75685 98530\n88970 90886\n1851 51818\n4678 90091\n31280 90205\n46627 75443\n33378 59871\n24437 42611\n8215 88394\n23148 45877\n10673 11695\n49731 75917\n62850 76643\n59782 63253\n36151 39305\n27296 43675\n32324 55854\n14225 62264\n79808 88653\n28379 96223\n961 94745\n87096 94172\n6543 79441\n44583 71149\n13902 55367\n22101 84044\n56427 63940\n8173 68415\n62666 97852\n44764 90713\n32649 69290\n32314 73877\n12178 73616\n81212 91865\n53534 58630\n19862 73587\n3258 52094\n27729 71539\n27947 82436\n59962 92723\n21739 65779\n10126 26030\n39286 88023\n71105 87380\n62122 74685\n41871 82019\n12940 91472\n11042 43261\n31741 59821\n18524 63448\n4101 22050\n3235 47440\n53225 88261\n8835 31519\n5817 95597\n52576 92172\n70841 85574\n4808 50546\n33687 76606\n36713 49179\n84265 93916\n23661 62292\n47144 52913\n73565 89267\n1770 84721\n19090 67029\n28477 57303\n25773 43302\n69823 96830\n27516 78654\n33840 35490\n37702 74557\n34941 98029\n27137 91007\n47787 52941\n2594 69754\n48051 49032\n58539 82452\n24248 79816\n27403 97346\n26029 33006\n52682 98216\n24673 72465\n98716 98957\n63405 69773\n1371 80615\n24532 79790\n10585 63057\n58205 78393\n1860 77045\n18514 77890\n23630 33884\n13877 45743\n18003 43008\n23614 55269\n75254 76754\n30664 75098\n68773 79733\n146 24168\n68475 73751\n11258 75614\n16660 48727\n9599 39701\n12042 40787\n45128 86757\n55481 71067\n29519 92803\n5531 45490\n49260 66298\n12389 17743\n78361 86992\n19331 19764\n65102 78066\n67590 78332\n38531 53202\n15354 70729\n22833 76631\n28975 99630\n2085 35308\n18069 52509\n20489 27154\n28499 56448\n8665 76290\n9124 27479\n46220 52950\n75955 91776\n7539 92840\n4087 71103\n5900 16914\n26968 73977\n44452 98203\n53096 59195\n23392 62196\n1138 59430\n16504 28636\n26375 86622\n33366 99983\n7108 93454\n96112 98696\n66301 98419\n40910 77402\n15496 92952\n77368 95475\n23226 72942\n30502 36274\n41831 59637\n2338 69155\n35799 64668\n34749 73462\n8745 64501\n19558 51578\n73519 96448\n32248 91844\n64471 96477\n53175 67559\n1771 4927\n80240 94442\n49259 90473\n39271 94711\n49168 61688\n21078 95158\n88103 97789\n3371 70841\n53786 82025\n39922 52403\n36798 67197\n19991 86189\n30940 91773\n82542 92194\n17554 85120\n29001 49512\n78828 87684\n13234 84142\n9753 69277\n3551 97556\n44637 87883\n58960 98643\n12856 46239\n66248 77327\n42140 62524\n23757 73183\n22433 59493\n2962 24938\n13557 94974\n39813 61994\n10638 21581\n9637 78358\n58245 74520\n54458 63429\n8714 51037\n5103 42506\n20374 52501\n21890 28499\n37100 69445\n24002 85184\n16770 52059\n39767 80563\n44492 87893\n11405 14798\n18087 89941\n49283 87152\n22567 42216\n14585 35139\n1999 28997\n16778 25825\n53974 80249\n8929 63617\n35375 95233\n62295 71931\n27849 89045\n63679 92563\n29442 87078\n30202 52115\n34334 48493\n17679 69671\n10955 47240\n53048 65704\n32262 65894\n77716 86387\n63450 67906\n2110 53548\n30331 75715\n245 46410\n66951 93408\n23279 24640\n15417 63379\n21671 28607\n1173 67628\n21011 71070\n41182 58956\n6911 83425\n22014 82722\n19638 60006\n29560 74711\n1164 54762\n66366 96304\n1615 30058\n10502 47341\n50280 51211\n58039 93086\n12352 63943\n29448 60928\n55741 87389\n39523 95387\n20967 73628\n64491 78496\n73685 99245\n10339 85619\n18503 18776\n1845 99355\n17356 90038\n8555 96373\n27768 52947\n60735 90030\n36983 86244\n22539 71626\n57821 69925\n72855 98544\n21363 64503\n77 25173\n36143 50253\n52887 94488\n4975 20443\n2197 57791\n83313 85664\n7825 61357\n8360 27826\n78370 81972\n49309 76794\n8999 89167\n13631 47022\n12237 30419\n34441 68037\n29920 32712\n57684 89708\n1079 7125\n12195 60490\n17432 46546\n16798 20274\n37978 56203\n31575 39759\n96991 97503\n46133 52380\n66602 95517\n16932 45263\n71325 89092\n56430 94668\n2526 98237\n35649 60548\n41480 49692\n17068 67815\n6009 65570\n76860 94964\n92966 97519\n71658 75226\n41181 92547\n57990 87536\n32639 39321\n5201 13603\n46118 73507\n81229 85920\n30701 98879\n35654 71845\n2777 85549\n55770 63986\n51858 84772\n62620 93019\n15569 63876\n24717 94203\n14825 30130\n48819 84759\n39515 55043\n54719 91757\n12693 82034\n18029 31609\n66359 71783\n45882 62831\n9376 56125\n78766 89849\n80266 95211\n11951 66407\n7514 26593\n22428 48161\n27320 59665\n1918 6521\n78039 97553\n1953 36592\n10868 19281\n127 16957\n1637 65622\n3861 43516\n48625 90783\n17360 39225\n24821 82700\n16335 92319\n37583 80771\n20809 65691\n38609 81618\n1332 71484\n24894 41210\n43347 46831\n10593 90548\n51734 91154\n52366 82380\n45105 65187\n71306 89058\n64592 88809\n21526 86293\n26334 59396\n15650 19662\n31320 56187\n74250 75610\n26268 72928\n57151 78355\n46354 52726\n73234 78883\n74304 86284\n17529 66149\n3629 7105\n16323 39503\n9153 77799\n50788 89088\n56718 73231\n34698 40224\n2446 66861\n43788 47850\n46479 70880\n25788 64820\n58442 70643\n34401 60054\n17276 38024\n22651 42467\n2515 57418\n11873 74399\n17810 19103\n25401 70371\n27573 53816\n12486 34384\n39763 75450\n15710 67294\n8266 45848\n2710 84632\n16910 88198\n39102 45182\n42668 96642\n30782 46819\n78704 85133\n10331 79959\n29502 88740\n8867 68255\n7240 98776\n69584 88664\n12363 34311\n43060 64598\n15394 74707\n39233 47785\n1945 86556\n76933 80925\n297 60431\n2196 7792\n9833 14830\n863 31373\n11077 93205\n56670 93474\n31048 44211\n79825 95404\n61442 76142\n32056 39480\n18925 79635\n6565 51196\n67986 89583\n44421 46517\n72697 82282\n5719 83749\n26194 43577\n47650 81758\n39387 60940\n59641 70247\n9765 79611\n31026 63362\n73789 92690\n42535 72594\n57773 61274\n45419 46036\n1267 97488\n84730 97964\n68607 82011\n7654 19230\n56608 83457\n41444 76433\n8025 10160\n2755 42949\n14718 95884\n12542 58746\n28097 65625\n20128 43110\n3580 56675\n41752 63553\n49633 92145\n51568 71828\n49410 56982\n9426 87006\n60546 74869\n66887 77886\n19608 91133\n11328 80494\n15719 63060\n4973 10243\n17654 48088\n19186 20980\n32760 73376\n40504 64261\n67410 82243\n36896 95910\n56515 98845\n20857 49383\n55615 97435\n32058 39205\n49043 71396\n16626 31067\n16773 65704\n29933 85257\n53289 79023\n13993 77970\n17454 51959\n74759 94751\n52983 87573\n44123 92714\n9689 60530\n81051 91372\n20729 93135\n28820 78198\n61079 69499\n94235 99290\n39884 63866\n4543 74491\n51951 74584\n91035 92620\n17641 85766\n29625 87207\n26716 83119\n49282 80122\n58890 62825\n7979 38650\n20851 30832\n70086 86719\n50401 69302\n57670 76551\n68481 93894\n9387 10880\n59314 72292\n29700 46726\n53357 97298\n5656 15479\n78109 91546\n2680 86499\n62585 77354\n69154 80116\n17235 42720\n17265 58982\n3617 39807\n15792 94744\n46635 68080\n9085 14154\n22304 35439\n26729 45590\n70369 79336\n20899 58951\n52754 94546\n10059 48355\n59566 67439\n38581 69192\n12739 77990\n2570 16901\n30600 72228\n24414 28911\n7979 78136\n25268 32375\n12730 16200\n7617 51938\n38922 55235\n4269 21461\n47510 72066\n44479 59485\n33699 52701\n8653 84232\n45680 57860\n34084 60412\n24923 37334\n9380 88328\n51081 84400\n26745 73367\n92587 96491\n34453 76577\n29267 97549\n44669 45406\n9145 45793\n9221 59892\n48789 83787\n66634 87499\n77071 88664\n34352 76308\n34270 49903\n21 43870\n66961 89634\n32901 54470\n38304 59317\n29324 29524\n29248 30095\n28125 94871\n2291 50164\n1032 32598\n29527 45295\n24038 81479\n99848 99905\n5613 96680\n29485 43663\n21801 22197\n45930 50799\n26789 69179\n34016 66426\n2448 37280\n44964 88461\n44823 96823\n44235 78478\n56207 73136\n35604 40941\n25600 43108\n44778 48546\n34128 76280\n35075 91984\n68967 80467\n45036 76084\n80458 88011\n3864 67955\n9444 89666\n19825 82091\n17729 46381\n48924 64499\n30552 87497\n3199 96467\n29577 87486\n32884 35431\n88452 90844\n17238 96859\n57598 88245\n54604 95410\n29811 83789\n87481 90567\n1801 82194\n34492 72375\n44035 87227\n26237 78073\n79507 88163\n20527 36246\n55273 81840\n14727 43419\n30182 43475\n88568 98516\n26714 41113\n46245 47160\n26145 74763\n13081 54085\n15205 74379\n39387 52857\n58061 74736\n40728 97721\n324 18347\n476 1838\n19132 61022\n41728 81300\n75513 85002\n2571 3246\n2014 89890\n55913 70155\n10815 85714\n25296 65139\n747 17349\n24538 66321\n56313 74529\n28523 79516\n17196 78648\n80569 85221\n54100 76240\n81642 89203\n3569 6696\n45842 96813\n36275 81418\n14881 85124\n9321 93326\n14402 77059\n16228 68703\n11684 89193\n73158 77253\n12525 28494\n29461 58925\n6832 68747\n68073 91306\n18746 23781\n12279 90980\n42794 77296\n66305 88724\n72550 96179\n38054 41482\n2331 76466\n36289 99072\n6533 82897\n42542 72219\n97840 99570\n5132 37622\n35328 71782\n17122 70660\n40919 47433\n15051 38561\n40962 94143\n13029 29800\n41582 74335\n463 11177\n15710 61319\n59289 60179\n48342 58781\n31325 75561\n44080 73038\n15494 62765\n60682 63773\n3047 11469\n9774 39108\n36177 71888\n41990 98203\n24662 52856\n30893 66147\n21793 88508\n38468 97718\n18644 69547\n12687 38394\n28847 63360\n7100 84418\n9762 82406\n40546 63592\n1626 37577\n28415 52352\n39868 40020\n22261 97128\n54862 76351\n16592 24485\n28233 59567\n37407 89480\n75553 88812\n53169 83933\n97417 98747\n50345 87170\n78311 85298\n38351 83727\n15649 62585\n3521 25880\n31394 32570\n20260 64274\n73346 80566\n66213 91170\n25925 38223\n7749 68765\n6800 32244\n13926 95704\n31924 80675\n94441 99985\n51450 68852\n14795 36309\n17341 65080\n34713 99807\n1944 40267\n19298 76565\n70885 83558\n25914 86526\n5729 74562\n58965 79332\n21953 46675\n20975 97540\n61655 62118\n83270 98057\n32887 84306\n64759 94082\n54593 56145\n32476 45075\n18905 36239\n48219 62098\n18015 70981\n58925 81247\n26881 83942\n31895 44000\n6412 43097\n17609 65419\n53341 97747\n73479 98541\n36978 46685\n3972 64455\n14258 43827\n2101 21721\n45396 60584\n44670 60530\n1861 12405\n56914 92625\n11885 69724\n56135 99827\n31741 67063\n60338 62619\n64409 71433\n30156 72402\n2259 62781\n20704 70050\n19842 64843\n52173 96514\n28844 42928\n60853 69031\n27003 82487\n62557 70219\n47548 65697\n2089 26887\n61951 85242\n63600 95016\n3678 96771\n10865 12398\n896 52761\n49480 62258\n59062 95590\n26926 73907\n42758 51692\n58499 73251\n5859 58635\n40768 47167\n9255 9432\n5602 97002\n24271 83164\n69790 75025\n12921 87868\n20100 72128\n14776 82281\n36261 90245\n28003 70706\n58111 62114\n40591 54575\n10350 80511\n59025 71861\n31669 94235\n9436 18506\n11802 90504\n22338 72647\n33310 84464\n51471 62971\n17594 93399\n68843 76684\n36013 92186\n14836 92261\n43905 98095\n39180 58584\n97739 97820\n38849 68384\n24978 30257\n16144 20394\n14208 16054\n4076 67547\n36292 49411\n5950 9473\n26506 26863\n27822 67516\n61815 88081\n11081 12556\n1186 75669\n33888 96025\n10100 21828\n66332 95273\n25200 71293\n31773 99668\n2639 82022\n96651 99523\n61252 91288\n20258 66017\n18742 32687\n17789 46782\n64228 77312\n87634 92446\n56990 78333\n2234 88250\n45711 63717\n56460 91955\n72297 97134\n24697 50728\n32206 72061\n13768 55717\n80979 86709\n10179 73394\n16850 22749\n1950 22516\n63328 67003\n10973 97061\n35163 91120\n58581 64126\n33751 88880\n44315 75329\n21992 26373\n18769 66451\n21052 95053\n11673 39213\n48877 87112\n23239 87373\n1881 53323\n44294 81652\n77312 80525\n8432 36200\n49035 49648\n17849 64799\n35863 97381\n62570 94550\n22354 92772\n9030 24609\n44193 96034\n39686 71268\n1427 79058\n46887 74219\n59419 91417\n5123 85220\n57416 75812\n67884 96980\n5972 15802\n2380 2626\n26686 60093\n50191 50661\n35920 37647\n26083 28486\n18492 46144\n32633 97661\n30412 68488\n83437 86053\n38976 80754\n62491 78003\n48016 95995\n54433 82425\n12285 49973\n48311 92766\n4111 60340\n65077 80635\n84269 92075\n9156 63181\n12282 58365\n62737 97597\n31813 92021\n19562 61650\n24301 61229\n25360 83535\n14993 56128\n23108 51428\n57930 77392\n20812 51145\n11761 66019\n72169 76504\n45665 61021\n62134 88187\n31542 65656\n27370 29795\n11980 55084\n78228 79985\n22993 59159\n41865 50750\n74700 86523\n34964 52329\n64842 92075\n38318 97248\n87403 99175\n41596 75015\n10132 65293\n3981 42092\n20909 48202\n89960 98449\n62645 66955\n58611 95101\n61716 88358\n41552 48552\n14570 73517\n4711 98635\n29727 38849\n74214 90671\n5269 35444\n19411 41253\n2703 4342\n16549 93123\n9106 69126\n37648 50565\n43799 65946\n32171 73775\n5631 26380\n28408 80508\n8516 14656\n43391 51801\n79588 82172\n35548 57084\n35407 82104\n821 84713\n30134 38958\n33785 43439\n30796 57508\n12919 16505\n11360 98618\n17321 44184\n53377 63316\n65370 74493\n7000 47425\n48921 73690\n12979 14033\n43313 93911\n14272 80629\n32353 97804\n26426 55383\n28196 89589\n7038 53570\n10312 57796\n16622 28807\n42617 79392\n3955 70203\n6529 27278\n9227 12150\n39493 40480\n59903 64165\n56707 86042\n17787 41002\n41648 89259\n17940 84622\n32788 88466\n25228 45587\n63875 88344\n14910 79511\n41718 82117\n37410 40290\n11191 72242\n14279 72338\n53451 64426\n19790 61992\n17887 51717\n27586 51506\n15695 58526\n20735 32358\n23412 63412\n6219 29092\n20291 46982\n33715 80088\n26920 73569\n5925 52749\n7957 16127\n32624 49377\n18269 71945\n36015 42789\n29614 86112\n9576 16860\n10437 97243\n2662 5537\n50683 86512\n6872 19560\n3157 89671\n6375 69028\n74330 83786\n40684 74163\n33919 67890\n76556 93209\n5580 41971\n6966 7374\n35368 58086\n47078 90514\n91901 98582\n37694 41607\n50715 52556\n5437 16837\n39685 95831\n8753 16792\n17380 48394\n17559 49100\n51255 58176\n44427 45039\n67425 77400\n7574 67308\n28663 87516\n19810 84118\n47777 60059\n52594 83479\n27482 55113\n1440 63794\n39915 90736\n8112 16531\n15976 85678\n53725 56530\n48773 89577\n10485 19321\n47454 86889\n60855 87978\n27816 60674\n41930 58405\n29058 59411\n41365 62267\n9174 86574\n8048 76218\n52444 74209\n12705 47402\n37342 84741\n39304 87657\n41067 80080\n63671 81130\n23671 39779\n73683 96575\n1920 37903\n41697 95948\n33670 66357\n46602 56174\n7796 85551\n29126 69212\n56305 97996\n32246 66130\n50443 83224\n15050 49798\n39516 67449\n2344 88298\n36644 37147\n7674 49407\n71409 92608\n11514 51404\n15783 37501\n23994 53681\n48871 79341\n2553 21932\n52385 60248\n3726 52989\n75301 82154\n42424 77705\n46880 72621\n28891 90442\n44524 63254\n55103 83419\n37061 76510\n57676 60870\n18679 24550\n9050 14800\n5740 84699\n7776 78697\n16872 90587\n12696 23779\n67621 69420\n36637 72410\n11968 94916\n48480 77404\n15323 55479\n53217 64814\n45750 83448\n41840 53522\n48319 77113\n66885 83058\n4426 86445\n26181 84458\n25936 63703\n5457 24700\n15479 78187\n21920 96002\n41782 96612\n56098 73250\n59355 79980\n17888 95265\n82211 90290\n9690 35197\n91492 96669\n13546 96827\n34695 92664\n19939 87181\n36765 72239\n14265 45855\n68508 77470\n30281 81212\n54662 66443\n4536 82787\n25290 67697\n5967 97095\n74129 98624\n16812 81932\n12740 60024\n37180 72076\n5947 29316\n20084 82308\n66209 93069\n66804 86740\n10845 63957\n19465 97060\n36934 91441\n52265 63800\n18678 75445\n68844 95008\n44647 91488\n63781 72892\n44074 75380\n10842 66364\n65959 94847\n4628 88681\n7048 13902\n14761 15296\n12452 31288\n81521 85454\n73383 99704\n67945 98340\n34396 42624\n36269 76279\n59397 79621\n19095 46510\n10531 85954\n76926 98793\n59508 63657\n37609 72060\n15425 70151\n27404 90277\n15086 93132\n20953 73830\n10101 25836\n69052 78301\n38979 95986\n19205 90707\n38938 48855\n18549 28314\n84588 99089\n49390 83115\n73719 87307\n14938 72347\n7699 46558\n71406 74865\n1379 27323\n13058 18344\n66166 78815\n54666 62533\n6204 54621\n59647 92697\n26865 70613\n4341 98869\n13260 83804\n10373 95989\n33503 49658\n77278 83829\n71074 83688\n33491 97019\n18843 64081\n15746 71771\n77656 91635\n48274 55022\n22128 94615\n2559 16980\n7526 83111\n28601 66096\n20875 21950\n60819 81685\n7389 74916\n28891 43138\n14180 60037\n6542 67677\n50233 51747\n48246 94119\n12843 19313\n36216 99883\n71530 90988\n60142 83263\n61698 78775\n46060 78400\n25474 79760\n67527 69568\n82347 94065\n30157 95434\n37233 75457\n16362 96746\n17561 65259\n16816 22610\n36994 79083\n34847 91599\n9804 32093\n50063 51240\n60893 84429\n43279 99514\n37634 85760\n11274 60367\n51443 52193\n1905 91938\n32574 83103\n18251 52892\n58174 93976\n6453 14067\n56209 85908\n37047 59879\n65531 91218\n22004 83326\n28299 62412\n24385 73770\n56285 65993\n30179 88428\n54481 72871\n19504 32729\n37087 76207\n61835 92566\n71630 79541\n30802 31526\n1467 50666\n18368 52162\n18195 53792\n17635 60222\n43236 67936\n5361 90090\n8910 60527\n11897 86819\n55939 98636\n33451 99272\n1432 30613\n2848 79008\n20912 26814\n150 33337\n5869 81211\n41568 60592\n7190 10572\n3421 89604\n17549 83086\n63815 74129\n42887 86502\n35880 68363\n40565 73217\n17672 48818\n2185 46864\n36598 49668\n2813 22096\n54361 55361\n34899 80409\n4346 13126\n74483 82980\n2186 18245\n39086 58416\n18333 64548\n91538 95696\n3047 42798\n36484 48109\n64655 89969\n28427 96188\n51115 63765\n11650 35352\n46394 78883\n89037 95718\n40111 66279\n53620 53689\n42594 53997\n8645 51800\n70012 88192\n28930 58847\n85413 90519\n73613 96605\n55240 68056\n15693 38757\n34812 85932\n17751 66285\n95229 99052\n54783 61757\n35069 42363\n34006 96236\n85225 88287\n15116 19242\n7419 32612\n15325 90252\n22561 91987\n75388 93134\n24355 78508\n60101 62244\n24436 33630\n84282 88060\n30054 51997\n27383 86985\n65955 98772\n1651 23381\n2132 21746\n30028 67080\n27084 94586\n19606 67896\n12286 14919\n47251 98846\n61691 98159\n15579 75036\n5662 56429\n2851 67643\n13157 75114\n926 76101\n20561 64300\n31296 47642\n21021 57720\n19154 59192\n47863 87086\n56522 56626\n22432 83011\n16486 28377\n22206 27398\n22564 31702\n97817 97896\n4036 51776\n12748 84436\n35600 77837\n46749 58303\n12135 69488\n66422 68288\n35438 73316\n25965 90804\n22170 94773\n21721 45701\n37855 84615\n28013 81532\n3556 97154\n11472 65631\n11499 79824\n69253 81226\n8259 67085\n7457 77854\n73185 79635\n13175 64070\n21047 40388\n91615 97200\n69185 74638\n12325 39917\n23428 70615\n3615 4042\n23113 37916\n5384 62812\n36479 84130\n6591 93963\n15423 66472\n2323 34353\n37470 80625\n25055 98166\n21753 97014\n53339 93662\n11750 40092\n13562 61123\n17034 58290\n27770 52639\n23227 65311\n50041 89413\n37121 40334\n21255 22028\n77730 94132\n89659 98294\n62873 92187\n42529 84931\n61805 67873\n28591 54768\n2453 79988\n20606 26794\n37663 80334\n15600 96525\n25977 38575\n28013 84994\n6918 45894\n48255 82418\n41434 60228\n78637 82882\n18764 25271\n2177 69980\n11931 53504\n35749 48584\n73741 76680\n21115 36293\n50248 75812\n37496 46122\n10947 58379\n84896 86282\n44578 79351\n63350 69041\n22982 84704\n5851 83181\n2856 96372\n82412 97048\n29865 34980\n73204 84400\n33285 66955\n50469 81465\n34268 87996\n23003 31203\n65781 78356\n34917 34953\n68263 82027\n31704 79638\n34165 62389\n17568 52018\n672 92352\n2525 31157\n30831 60176\n15712 44747\n19664 86396\n69427 97793\n9307 46270\n24889 29656\n23199 24586\n672 52434\n45839 97804\n7103 81197\n12080 66900\n11826 19569\n22435 81658\n46394 92592\n47461 62966\n59944 60658\n8276 78485\n36321 84314\n6932 82921\n14781 43189\n40484 79659\n13738 41267\n17715 30195\n37037 91071\n5707 27390\n1237 6675\n77690 95881\n25590 46075\n34600 94756\n8169 38038\n34798 85933\n19767 74084\n19623 88640\n858 23573\n32575 65316\n10232 27006\n58303 71267\n29949 98152\n14658 29531\n8220 23472\n51975 90124\n78257 79205\n44493 98174\n41279 95637\n42848 53298\n64420 66148\n6759 48102\n68812 90525\n33929 88499\n40352 81824\n13845 72773\n24151 27697\n14948 98034\n10094 51054\n25296 86961\n14650 76037\n18365 39139\n31965 75936\n19546 40967\n38174 79062\n13431 34160\n40134 65604\n6663 91981\n66608 70129\n24152 33138\n4503 5197\n46421 60483\n27358 37376\n12666 87275\n3710 86406\n34013 42934\n46653 96647\n73260 76319\n30379 33588\n54995 68973\n58875 78082\n37569 75174\n8020 64181\n46566 63829\n78020 78373\n40104 79519\n1098 85065\n44965 61067\n51845 82352\n42400 46036\n28648 47913\n31499 96227\n60417 74855\n7087 79211\n1208 34543\n15902 69776\n8954 55902\n15695 62539\n21372 23845\n8620 36184\n24310 71282\n6930 46624\n57407 58560\n61281 98944\n2634 32495\n39857 45460\n30176 64147\n14301 21541\n10807 42147\n8083 89917\n7680 9980\n2696 21902\n12436 71689\n38261 91389\n54730 65880\n371 30590\n62584 84295\n63097 75263\n27027 67382\n25983 90336\n19820 87345\n33930 58198\n64515 71025\n7456 15896\n33095 71793\n52854 60649\n21357 53675\n24559 82449\n13756 16264\n2936 38492\n47379 47991\n25957 88752\n34468 62991\n54422 91300\n40505 77703\n59250 72939\n77492 88496\n25632 77481\n9834 71389\n35575 42858\n17465 60866\n16388 35946\n23102 78222\n7481 10005\n19556 73346\n35068 58957\n15480 53949\n47455 88591\n11831 42045\n11951 13686\n7150 40094\n51060 63247\n52085 87232\n42112 56503\n54565 60320\n25715 61432\n5766 56504\n21811 28616\n25435 98372\n36809 45271\n89898 95188\n92218 93169\n3568 59084\n66904 87795\n65172 73188\n72599 94268\n29335 94156\n3557 10230\n68724 69842\n9709 14671\n20108 82317\n48028 71055\n31194 89259\n4652 94708\n490 72207\n13728 22233\n46828 65476\n33693 48634\n26374 41685\n2436 86086\n2928 25328\n33632 77866\n62735 83486\n41195 92405\n15891 74418\n18413 20439\n5123 29637\n15122 92103\n79798 90113\n46831 76515\n23660 58941\n51382 83384\n30527 72027\n55345 91766\n15458 35403\n26699 57881\n42966 50393\n21516 60278\n2890 90973\n8677 70437\n14603 27652\n39765 85155\n42402 73359\n37483 83961\n68174 82635\n50251 59000\n50422 65864\n47911 76895\n39387 43134\n28598 72623\n23470 35324\n40194 99374\n63824 88094\n82584 92359\n2442 77596\n7153 69975\n19760 48925\n15264 45630\n6921 91176\n97932 99742\n36577 96945\n18989 34366\n8288 36484\n36249 77104\n41346 98343\n86988 93720\n28376 46537\n310 30129\n52300 66368\n72644 98920\n38290 42810\n22480 93057\n55538 99919\n25251 59066\n15162 33858\n20988 69057\n39974 95039\n25278 81988\n75059 91809\n6105 19639\n27164 89664\n8894 78036\n29973 60332\n8934 85266\n3966 42643\n72992 74024\n13968 73173\n3953 63663\n29491 94708\n13087 46212\n40223 87833\n78475 92718\n30337 83230\n54447 99397\n76939 88914\n1672 84724\n10032 54797\n92871 97136\n59392 80200\n13644 43337\n33538 42199\n25791 59896\n4822 21684\n38218 59389\n10087 48192\n58204 73553\n8035 29095\n44522 61767\n14559 72455\n12792 90917\n80868 87403\n2728 91857\n19400 56767\n31300 51053\n10158 51565\n64958 72088\n33808 85528\n42431 82097\n20103 66975\n43037 85425\n88366 90732\n43117 98962\n31348 71506\n38509 65549\n61963 88570\n15869 80304\n2026 10603\n59045 70351\n3285 44193\n14579 49299\n29555 32603\n37627 71463\n28625 74601\n80684 87956\n14253 31593\n44620 89293\n47954 73501\n38484 93543\n71150 72481\n13258 98787\n12415 14870\n43844 64412\n33722 57681\n72772 74593\n80733 82238\n16164 90793\n62215 76716\n4076 53799\n24869 63916\n72782 94056\n52668 55929\n44101 76378\n64507 96863\n12107 67655\n54488 99697\n31344 38486\n11676 30947\n43738 69391\n60022 79325\n74526 98095\n8685 88735\n1406 72858\n43857 78092\n50799 94169\n53716 58200\n31079 58899\n27098 55989\n62666 68869\n51710 55463\n10098 38992\n23695 52695\n27731 34943\n53170 90798\n1224 23665\n21358 48933\n42747 80904\n70573 94316\n21355 60676\n40161 75092\n8792 27851\n4407 21343\n74010 96046\n46945 51917\n27447 41602\n53688 85663\n17922 44092\n50680 59553\n35121 82847\n17534 69647\n9014 89128\n25534 42248\n20603 93650\n31750 64915\n26645 59940\n10717 20968\n9350 82390\n21536 43385\n4131 94607\n73293 80719\n43919 85883\n39290 93749\n19101 35399\n69800 96351\n30415 60258\n40582 89834\n32164 54752\n15233 54865\n66866 81089\n28708 61793\n11939 32787\n46287 56104\n15232 98550\n12308 37339\n37120 99973\n33209 91115\n29533 33374\n40461 93614\n20785 45601\n46945 77400\n2255 20653\n11665 75567\n178 83282\n20378 52747\n43165 79271\n1076 3824\n25640 45275\n36784 83509\n2724 17147\n33795 55306\n20039 71420\n6208 6742\n32153 48212\n59106 91464\n42584 45243\n62642 95973\n62989 88835\n11465 93981\n81576 89534\n12809 45287\n5664 92513\n74415 75619\n20036 64652\n26520 76812\n16163 78171\n5790 86714\n15524 36044\n18380 37769\n64207 80473\n64247 89701\n41049 44971\n43154 66970\n54774 99168\n353 9655\n51527 92395\n11345 46463\n39677 87323\n17406 43449\n3565 96820\n41324 84441\n87304 99128\n12640 35065\n11878 45299\n54809 95197\n44512 78349\n51571 78060\n1075 23030\n28654 49112\n7500 96720\n56546 99304\n13394 94091\n6856 70623\n31000 31867\n1140 88043\n50722 92217\n25657 80270\n28809 53079\n1511 80531\n29193 90175\n15134 92612\n41032 57253\n1058 89842\n40438 50170\n16816 47047\n20342 26641\n48940 80767\n86738 94442\n28977 43186\n3668 16760\n5716 54680\n16399 75511\n1213 9794\n9158 27893\n47825 49894\n19449 72308\n63333 83120\n39430 90042\n53968 67301\n55132 81200\n33076 86758\n89048 97344\n70537 99806\n76922 83662\n11169 96877\n32845 72688\n7106 53702\n67112 82901\n18247 48848\n60075 92355\n70728 75100\n37713 48986\n7553 63861\n30451 71946\n25920 29808\n13733 14306\n66790 71651\n16867 83578\n20330 23562\n34536 94115\n8803 13261\n79805 82010\n66985 83902\n26560 98923\n85335 92825\n40165 97203\n12481 80626\n7804 97857\n40879 48013\n35712 38041\n42829 92705\n34331 83465\n86264 86749\n45180 82772\n75540 81221\n32836 53040\n31245 73766\n5237 47611\n8919 61746\n15362 62622\n14775 44575\n21354 56253\n10165 51535\n4676 53607\n77622 81415\n28357 38702\n35000 63355\n65181 86866\n13818 65406\n46200 49954\n49874 57666\n56404 63305\n26333 31190\n20447 86508\n14828 39397\n21704 59886\n80771 95776\n90709 98564\n8183 50568\n56474 82187\n43272 71930\n54341 84007\n1444 86982\n13827 22361\n35647 66346\n51098 77887\n81819 82249\n13190 15596\n76263 85478\n68719 70437\n36996 83583\n7516 49945\n66051 78544\n44768 92067\n18336 63692\n67408 74544\n13507 40228\n27218 84095\n79262 88167\n17112 98031\n48973 49531\n39923 84585\n6293 85865\n356 88120\n2078 75279\n38043 80763\n29564 52363\n7730 11394\n15350 34370\n4204 14202\n61274 88506\n77322 84370\n17067 28965\n13162 82884\n71570 75938\n53372 99604\n8335 55064\n40988 77094\n56727 57237\n58250 85996\n47674 92691\n64233 81827\n25213 81625\n24569 83544\n19558 20823\n26116 44281\n13056 40413\n29682 84235\n24601 68868\n37885 74776\n21140 36389\n51857 80537\n62330 79038\n77135 82488\n21803 40663\n8819 63308\n38338 53404\n66580 94175\n28935 91835\n74353 96166\n5226 13766\n58173 93663\n40402 81231\n49592 77035\n73134 80192\n28146 93402\n27925 94607\n46795 75600\n21347 74205\n12264 18910\n22946 51311\n5708 91089\n23843 91394\n10459 36929\n19507 83491\n45903 63645\n43610 97725\n5003 44174\n36047 71121\n29564 96671\n47491 85100\n81352 81397\n20602 60577\n88669 93638\n50882 54873\n32580 69157\n41375 64543\n58015 94406\n40621 96834\n20051 90623\n29208 42355\n34145 50522\n41357 99460\n30587 51357\n18966 34126\n27332 48003\n22925 83156\n12108 78112\n25884 97707\n21640 34692\n1535 62349\n44024 61109\n7636 26792\n52964 69695\n34163 89693\n14493 99943\n49500 50742\n34542 48096\n7122 25319\n24010 45404\n42424 88748\n4430 94968\n21384 32888\n38 2243\n32607 58302\n24777 65671\n18757 41525\n50909 99998\n47051 49812\n51164 99346\n13014 18939\n13763 67376\n60343 92432\n5346 6322\n3396 69170\n60651 90969\n6691 40654\n16221 48373\n5189 15078\n3473 24306\n8545 44528\n18793 52799\n51091 88414\n52102 54584\n29922 73100\n28034 85405\n9454 86214\n35928 82152\n37230 74948\n35610 39712\n27078 38146\n9237 65862\n647 39248\n1849 59008\n75047 75661\n50795 65690\n6235 33799\n4552 49925\n25599 95929\n70928 89708\n20450 27689\n25406 41105\n25190 82794\n67579 81884\n50384 62308\n18423 99853\n17143 96775\n15697 71482\n45217 51378\n50331 80213\n14589 67676\n11179 35617\n63919 65586\n74502 83930\n24183 27786\n82244 97434\n15968 68040\n10556 74326\n43504 77002\n15075 19407\n5872 12491\n13482 52198\n1257 86875\n76323 88322\n39449 93883\n9370 64778\n38764 89113\n19538 92106\n31174 67873\n10861 28077\n499 31472\n25687 52579\n10384 71325\n30556 41704\n68907 73512\n13154 67270\n5977 63608\n45787 84972\n8419 77545\n4355 63148\n20167 84054\n2400 11382\n16526 96434\n10733 77033\n79536 85149\n7366 50269\n61633 87301\n33758 50735\n66 37522\n27664 77424\n19960 42357\n36880 98525\n3803 39459\n81780 84649\n45245 49871\n10836 17780\n25621 69854\n30311 50156\n3254 56313\n30410 80406\n66708 87193\n74873 89356\n5810 58622\n9301 83657\n75063 92318\n1627 66180\n16545 23308\n25580 96040\n70753 82605\n22110 36103\n49357 92107\n17402 51441\n9070 67873\n79282 85960\n10145 90193\n42524 80487\n60560 77575\n5556 99372\n801 16613\n69629 98389\n25042 87425\n46651 55385\n42649 72739\n4436 40005\n71309 99446\n17422 49050\n71053 91164\n18420 88144\n11644 16933\n4231 75553\n25077 91504\n16134 71439\n15289 45725\n13168 48293\n8211 26086\n54614 81020\n57656 94304\n186 70202\n23792 79227\n16215 59410\n45803 77047\n25648 44639\n58398 69187\n21008 80644\n18136 45337\n34239 89749\n39749 74535\n64967 86199\n13364 38380\n15034 87837\n9987 84621\n41615 63204\n31113 96165\n21973 90120\n9209 50809\n3139 63271\n21481 40298\n53636 80232\n42420 42598\n7863 67427\n19246 68155\n32410 88224\n8181 49744\n11681 60150\n4393 21621\n4719 40847\n5429 7772\n82683 95818\n45927 94975\n58738 76485\n19221 26059\n57183 62365\n41875 56556\n25963 92230\n1322 81951\n35350 72591\n55451 80181\n79830 90831\n43506 83491\n57722 59494\n84967 85939\n71497 79364\n47217 82511\n67213 68349\n771 59544\n35017 91389\n9422 69536\n2335 28940\n68413 69179\n4943 27241\n52731 58113\n10919 53653\n25150 69266\n37574 84940\n6142 21938\n8836 35394\n15741 18093\n82535 93217\n25416 26623\n42992 72932\n23466 79915\n33531 67234\n80187 93285\n28062 43671\n40405 71939\n57968 75919\n22320 86232\n23165 80564\n71513 76373\n33628 98567\n21395 32762\n32783 42569\n68509 76700\n34571 81465\n9191 33264\n23395 74958\n80358 93823\n9810 55701\n44122 74041\n1559 41853\n50984 55142\n11695 25701\n12573 32408\n3473 36011\n40409 45861\n32222 52221\n7519 26252\n8202 17964\n20976 43856\n73106 92601\n12001 82963\n33666 92937\n8839 79251\n23760 98453\n78472 97767\n38461 77576\n10048 47391\n60600 70391\n29832 84774\n31600 46327\n12802 63524\n12459 79553\n8739 36529\n44183 92034\n1889 51200\n19805 70010\n32342 58090\n87934 99397\n44690 93803\n21703 51332\n12515 90815\n47813 86717\n29228 88766\n71022 95579\n33722 89621\n14962 45765\n67113 80444\n42173 86792\n73582 89901\n80362 91701\n3306 10242\n9751 35017\n32652 46550\n1089 86800\n45945 80652\n43838 97270\n76989 87826\n41248 43438\n3109 91028\n23797 89656\n49407 63618\n80508 81883\n45030 73647\n20137 75479\n37354 93961\n28051 58353\n41740 80469\n55247 70854\n7483 21701\n85886 94640\n19300 54525\n12792 47636\n11296 77440\n12375 88598\n69296 81162\n52009 89135\n7830 25190\n12064 32210\n2025 81549\n22304 52609\n75091 75414\n60767 84826\n6830 9056\n30290 68823\n45704 54859\n29718 50006\n12646 68876\n21211 69707\n40946 50976\n45167 76445\n17546 73486\n88580 99624\n66539 91676\n62206 86171\n860 18523\n58752 76981\n55262 79023\n74135 82172\n22425 55165\n21191 82418\n66928 69987\n29546 43013\n47346 49187\n38062 62620\n60844 80127\n21601 85506\n2436 36218\n87673 96799\n13299 23037\n76032 84018\n47831 50513\n72205 95109\n50199 64616\n26918 50282\n56540 90842\n10837 89459\n8878 26335\n545 72998\n19258 20602\n23123 53325\n36071 59314\n48458 49997\n23083 65844\n48663 76193\n5770 15703\n1862 85477\n78055 86903\n7761 28037\n72311 89238\n31982 97498\n29604 77183\n5551 30618\n87444 98644\n75784 90803\n37924 48684\n67310 93512\n64536 90724\n62598 89386\n1105 75957\n64660 65363\n4065 77086\n53208 84888\n43568 57371\n35672 60838\n6355 60557\n66865 92006\n6444 23327\n33854 71759\n54373 69219\n5685 78072\n53407 81662\n5867 88421\n32733 92655\n53283 70916\n4924 23821\n37290 78256\n25561 92677\n42323 57845\n49239 92937\n37768 91597\n4304 66947\n13829 14680\n48943 68591\n28089 40287\n66999 96200\n27803 38305\n85227 90034\n92553 99920\n19813 26890\n50709 58033\n79210 99274\n72249 91242\n54689 91949\n26481 68811\n14989 20246\n64979 90855\n45662 55091\n46137 54575\n35996 61602\n25790 40509\n6123 56806\n6242 50195\n14843 16067\n75369 85496\n40463 63809\n77794 86317\n4701 94909\n21157 28646\n92132 94564\n70420 98039\n26157 51735\n44060 81362\n1716 53404\n61048 94726\n1927 25724\n4836 42013\n21470 58973\n10748 93861\n22621 47554\n69480 83542\n52999 56492\n1499 79268\n64338 83107\n73210 80215\n39588 57698\n45002 53724\n12847 32676\n82569 99735\n23716 70577\n3573 29959\n14883 98002\n64856 68655\n11817 31835\n7750 87685\n3912 81090\n63510 81201\n48084 59625\n38804 56635\n89530 93368\n80078 97999\n53557 61376\n42283 75506\n19486 41996\n96828 98462\n61553 83485\n83421 90325\n20571 24262\n10079 71439\n24417 41169\n31853 99594\n36236 51633\n84836 90570\n55048 70365\n18496 25812\n32383 96672\n17689 29844\n62048 89605\n43063 48425\n31556 35116\n18758 52457\n66799 99150\n9912 37734\n43153 61936\n9977 58030\n52879 56891\n16528 86305\n22434 68476\n35482 38150\n49625 50575\n36321 61260\n46204 72590\n29672 82766\n7646 35890\n65613 90501\n19073 89791\n40809 55177\n1954 32874\n18903 65701\n25956 40496\n10922 84970\n4570 70814\n36307 42930\n29086 51966\n50956 86509\n85449 98759\n44905 73780\n49367 62153\n6676 84672\n37350 73151\n20772 40389\n55580 59613\n11322 52208\n69227 98689\n73227 91692\n13135 79157\n25501 99246\n4648 60915\n40882 54808\n91364 98603\n8827 50613\n16135 47144\n24310 63405\n35866 89358\n59533 83418\n21059 54534\n50204 70081\n47637 65986\n91813 97912\n14195 74869\n71034 73910\n27412 87030\n71101 81852\n20031 51133\n3903 82327\n67214 82562\n63675 91793\n92664 96137\n998 2540\n10904 27520\n86628 93045\n11563 58603\n29232 78535\n50566 97210\n11336 70318\n18644 49404\n34912 98763\n60653 80930\n34046 54799\n34272 79998\n21667 96917\n57574 86964\n25273 48094\n53957 75888\n19214 38773\n72997 99556\n2362 63156\n17695 58908\n22209 48784\n39504 60134\n36540 71590\n7163 76015\n54591 91162\n15040 60456\n13527 76003\n13812 65949\n35564 36224\n6755 7482\n24130 67172\n22840 99594\n40068 86542\n80588 98289\n29979 77329\n11377 60865\n24996 61107\n57688 86712\n16766 28756\n40817 81809\n12291 31052\n68646 82271\n2511 50578\n68133 71607\n60974 70541\n15744 86698\n18972 87164\n1847 34136\n51590 56481\n23887 91440\n28159 61682\n77799 89335\n24684 40457\n41165 57141\n8102 86919\n48256 92602\n26807 47582\n55165 77620\n42068 45853\n1405 91341\n55394 80717\n41265 55598\n18176 87267\n23066 90184\n58043 74154\n11428 63420\n4810 31445\n155 32262\n7166 36741\n38373 52694\n7773 94852\n16309 81965\n42047 82469\n12763 23408\n29877 55267\n31521 99181\n35487 36825\n23859 53886\n65063 96528\n3612 19796\n12301 56688\n47701 48811\n22768 46039\n4346 26622\n65224 89636\n43790 76502\n85736 99251\n14627 44199\n50524 98509\n60417 85910\n51054 58180\n18035 45751\n38103 53264\n47685 70848\n11398 30465\n71366 85671\n52193 92619\n11203 40819\n32979 84773\n17887 84519\n1877 46278\n37934 53859\n25533 70386\n42122 99792\n55701 77784\n20341 84691\n50872 94277\n44367 57242\n48059 92630\n61661 78680\n57561 97621\n71043 97354\n33747 48427\n3394 49558\n20655 56760\n67543 71187\n10592 34445\n13131 22329\n50160 70173\n97001 99796\n20321 25126\n28012 92130\n32214 33345\n29275 99014\n14368 74435\n57970 86725\n2610 93879\n19482 87391\n10191 12931\n27326 81591\n46966 97860\n56232 89013\n6229 36125\n46275 76262\n68018 84855\n71400 92746\n14646 73335\n25690 53769\n69419 89953\n16263 39444\n74487 86824\n46167 86587\n77369 99931\n64030 91487\n51232 62823\n32076 43882\n7096 90954\n85121 95504\n38724 39962\n53331 88162\n18696 80002\n3113 30731\n44512 66850\n10250 16754\n422 73182\n71816 97299\n33063 49511\n70789 90264\n39682 50887\n37127 54907\n23393 75997\n31338 60307\n31375 43585\n20905 22445\n25883 88636\n51119 61873\n28537 99700\n10675 40984\n48444 49210\n26057 75396\n58301 81128\n77056 94045\n8770 57007\n32240 78414\n52755 98867\n24821 36876\n1292 40613\n50203 80829\n4405 89624\n43451 83625\n1584 96488\n52254 72317\n57334 93195\n53706 96754\n79762 86897\n52352 70726\n19211 31154\n62621 98427\n65989 91623\n16177 24862\n49834 54537\n14013 67851\n5249 57134\n2304 89665\n3051 59028\n67176 88136\n44086 50436\n3486 86147\n15859 43782\n60841 76402\n293 25918\n24277 80145\n25936 63017\n9403 59669\n52536 91689\n87533 90387\n26825 70581\n47245 99384\n16570 80016\n82094 90915\n2978 48934\n14647 88131\n14422 56716\n31220 35935\n13876 49545\n19442 76094\n34363 34441\n23871 55175\n10358 52285\n9864 18944\n24842 95497\n62105 92631\n49372 84493\n63191 96410\n15381 62730\n76312 99013\n48033 52508\n62616 66968\n9606 24103\n63589 97638\n12206 75336\n54276 70213\n47813 68896\n67286 91228\n45474 92766\n23720 24449\n49074 95339\n1327 67292\n10980 30428\n68073 71293\n82968 85975\n41881 94934\n26827 61920\n20777 91358\n77511 94609\n32183 84690\n7590 34057\n66229 82796\n4308 73715\n34182 79834\n6105 17403\n32965 93857\n3353 20178\n51573 68879\n47009 85884\n47957 48209\n54834 82072\n49039 77360\n57588 62020\n17485 54034\n9205 83031\n49645 93041\n14618 92277\n59588 61107\n29708 64300\n47645 97048\n66041 84949\n30978 49675\n54820 98071\n58854 69716\n42648 94067\n40801 46594\n4539 58623\n51907 86239\n47767 62217\n2421 55056\n39024 74757\n3756 69446\n31855 94171\n36903 91844\n90733 99462\n24197 63815\n14670 97570\n47389 63469\n1844 18667\n15011 16713\n2348 78027\n12605 75349\n17869 98026\n76895 95306\n75 23810\n67118 93955\n43897 71531\n33429 75350\n14256 74662\n11082 91816\n35431 39146\n59756 79765\n12925 30013\n18275 99357\n44068 54991\n86741 88254\n40447 48679\n12087 88379\n1797 46009\n64764 66206\n54100 76985\n12370 94023\n37366 48407\n4801 9732\n36890 40781\n2620 5711\n5197 59563\n4002 52023\n44784 64183\n83212 89616\n20812 46377\n31258 79012\n14829 36408\n16400 49227\n45874 62136\n4598 11424\n50621 79744\n51315 73895\n69700 99555\n56373 56900\n68955 94438\n14486 50574\n57215 86465\n83501 90096\n20364 38936\n54861 79187\n50425 69030\n25510 41770\n23930 37503\n59935 89243\n28818 29859\n21668 26427\n4942 22895\n4927 24326\n27417 74183\n78306 85677\n17014 41813\n27760 87078\n19174 92225\n73400 93439\n10701 74998\n71031 83198\n16643 59254\n9466 25636\n72470 76108\n31802 34877\n29394 91274\n14374 41360\n28834 95530\n2570 85814\n16194 84495\n32810 55734\n17301 80242\n36332 72951\n9579 69526\n5046 59035\n2595 82121\n26442 78676\n6701 92218\n47695 55194\n71457 86738\n4766 86004\n927 14144\n61554 66573\n66400 97568\n12542 22257\n73061 75289\n58161 72975\n77948 83862\n24167 91577\n4632 75404\n76724 89199\n1131 82907\n18521 63965\n28771 98812\n6518 98584\n944 12756\n79349 99418\n4049 79701\n14859 83785\n27101 99269\n41748 44721\n7084 87341\n24934 86271\n38810 74649\n22666 48784\n21497 84125\n59450 65879\n18287 51056\n68900 89046\n61110 87219\n1968 98841\n87530 94412\n1573 85008\n13890 47017\n38325 99382\n11140 92591\n44458 73970\n62548 94123\n62133 63448\n24826 35664\n3760 21460\n41347 86361\n19007 89851\n53398 75678\n7319 13090\n39461 41284\n5892 87018\n42902 82800\n19428 33611\n56336 61446\n26656 98749\n66919 96802\n44108 48899\n28550 67347\n43096 96030\n16879 61802\n8329 28324\n49677 83889\n5154 50295\n24938 66604\n8042 23832\n32553 84179\n4065 36456\n42783 79046\n11929 42751\n2517 82394\n6671 59704\n12953 71444\n16049 72424\n68458 75221\n41118 62465\n36678 95709\n34660 78256\n37326 45617\n28405 30368\n33596 94081\n7926 76355\n55228 83850\n41407 83647\n80301 85926\n320 60416\n23773 33568\n17138 47957\n82058 94814\n50667 58022\n12501 48124\n30416 46163\n30097 66242\n12404 17101\n24731 36614\n44858 91773\n18910 81337\n11246 18033\n19178 23387\n75231 78120\n33204 95183\n55953 69248\n5657 64066\n38438 89949\n20411 53672\n3888 51978\n11715 86130\n12848 68772\n2349 28513\n43548 78660\n41085 96094\n32186 52513\n5721 98921\n20750 63878\n56836 99534\n53940 85145\n65987 87449\n32994 56485\n54986 71012\n19853 32398\n80807 98687\n4635 95119\n17760 39244\n50190 83113\n26411 53721\n11288 14657\n16998 32971\n83113 85998\n13630 55075\n48833 79827\n8715 47818\n45793 83982\n4533 15019\n1068 67889\n48304 78274\n192 51326\n37928 91341\n26636 62345\n58649 80055\n12946 33007\n54845 55333\n79252 81492\n39935 97149\n22640 96086\n40087 73670\n42920 95665\n37199 51702\n53064 79919\n21546 45186\n88399 99980\n32503 57228\n12407 39598\n62447 79444\n37689 69892\n23758 32709\n10892 19039\n8632 15315\n28807 60258\n24271 91911\n78531 91244\n16701 41671\n26668 30558\n65929 98472\n58648 88407\n1864 76730\n25936 97530\n82589 96266\n11270 99036\n13988 77312\n29364 98751\n37525 68321\n14806 29965\n26246 32440\n10740 48320\n30190 48600\n7786 98489\n18232 23962\n14581 73046\n33787 38128\n3393 52666\n8505 47788\n8780 41441\n20253 29552\n15192 90777\n42477 49254\n41305 59943\n79801 80703\n71603 89570\n29571 31944\n48732 96889\n51215 56595\n35101 45660\n3863 98014\n39330 54582\n46505 93444\n18878 70594\n17002 93240\n480 71185\n72194 86697\n53569 89747\n66316 85723\n31896 84112\n7382 63574\n53112 53315\n700 89302\n35617 90905\n14320 55750\n80897 90178\n5786 52754\n23745 60944\n15788 28095\n67949 81339\n27527 49850\n74227 82084\n2099 61405\n44907 82230\n5731 99792\n858 48407\n45818 68003\n28535 61134\n45575 71985\n18943 98132\n17535 63096\n20194 77810\n23265 34292\n34412 51580\n23553 71799\n16694 17917\n2528 31616\n9862 13400\n43566 65542\n55649 94699\n54076 77849\n18673 42466\n34526 94630\n48827 95642\n62882 69785\n87605 92737\n52857 95387\n64558 91743\n33349 50304\n23021 62384\n46183 89203\n37035 59944\n83409 95173\n16118 90650\n65412 69826\n1032 33349\n34629 37219\n47311 99947\n20704 64599\n23864 45841\n51187 69171\n28584 79190\n13483 73109\n18337 39335\n36208 95314\n23615 72108\n14237 57286\n65987 70358\n31556 52003\n18764 37188\n28840 59756\n43073 81722\n6846 44054\n29965 96067\n21408 24661\n2430 47621\n85784 93732\n18053 23902\n14186 44970\n53348 85376\n37915 81274\n31245 50426\n36416 91461\n72311 90338\n27360 34846\n10005 57460\n8640 39974\n46200 99322\n9535 49407\n58679 92709\n20241 75042\n57964 86356\n15684 23863\n2005 86249\n11867 43664\n12022 40689\n17505 36740\n76231 81888\n45880 86429\n45849 58557\n58184 86698\n11292 99594\n17466 73557\n29005 85305\n9939 31526\n69890 82696\n22420 50113\n66850 76521\n41656 63478\n44794 88821\n24145 69603\n31143 85570\n31282 71482\n28367 70612\n20853 24230\n36321 40470\n80018 83492\n57445 86920\n34498 48309\n4537 58810\n26827 32660\n11180 95157\n51774 78928\n59080 71350\n35497 96253\n10338 93053\n54879 99283\n47517 83283\n18155 32742\n13690 47385\n69233 73901\n86296 96419\n14171 53386\n1068 74408\n5913 87004\n37871 79270\n33164 82790\n77357 90470\n24078 93986\n10249 27455\n63158 91011\n26058 33616\n26040 45250\n18729 81148\n775 19895\n40049 41606\n60208 92084\n79467 87845\n20645 71641\n65350 66563\n49369 98402\n13947 33900\n7430 62511\n76092 78445\n33329 43229\n20882 24286\n43998 56952\n24651 89292\n14408 67987\n27669 82561\n6816 86319\n11348 13584\n29334 81800\n12031 96912\n589 62684\n39196 77506\n5697 32948\n36953 97777\n76093 77199\n36112 44153\n16825 75940\n29251 41773\n82958 97636\n14611 99051\n31694 56225\n13421 27084\n35860 49842\n57155 98403\n27246 67797\n63138 80105\n18574 68543\n75150 83459\n15065 44980\n78215 91873\n8956 63122\n35322 53339\n16658 23229\n49099 86226\n28071 79072\n28963 74109\n15411 21570\n79776 85370\n44442 47825\n23100 93528\n33356 87757\n19911 47084\n45354 50831\n3069 14756\n74801 91307\n2725 81085\n34762 66157\n60344 72898\n41211 73420\n79168 99914\n83197 87715\n47435 79443\n59074 63847\n40778 88619\n21668 61468\n28902 81116\n80722 89386\n61746 84246\n17558 25974\n12240 69972\n16464 37866\n75661 76084\n14563 52645\n863 53131\n58715 75911\n55002 76119\n45979 61870\n63499 80786\n75726 87156\n51336 83213\n11341 29687\n57274 93429\n8587 39983\n9585 59897\n11699 54227\n71470 87287\n64038 77737\n38611 39572\n54639 93639\n12606 20309\n20790 87510\n36017 87065\n18830 71127\n21450 34449\n47096 56694\n36383 83234\n5116 42121\n21092 76766\n14311 92501\n10765 27973\n10500 16650\n32847 57684\n29284 43252\n42576 71620\n74649 77999\n38173 58466\n36669 68642\n64399 73245\n89362 94958\n34524 39589\n42319 91847\n21847 80055\n6691 79584\n31065 53413\n51249 54647\n28994 82521\n27245 59299\n4785 46783\n52968 63088\n85633 95319\n77236 99824\n17014 68980\n14533 23424\n44096 53682\n1200 4825\n49519 86073\n33020 87143\n88277 93245\n16925 60976\n3852 78795\n20850 24844\n26932 94116\n32010 54560\n74609 96605\n51277 97367\n59389 93311\n45724 77108\n7367 45543\n47175 51867\n35967 89456\n7067 93613\n21372 67192\n29898 75203\n54713 67998\n29537 43657\n8179 95203\n32984 38328\n33314 49718\n13214 74057\n69708 76454\n5497 90856\n68545 90210\n62494 90823\n44165 70868\n67282 97876\n5258 74111\n46934 52469\n19616 35795\n12120 41307\n29997 77687\n26569 91681\n21928 48457\n12764 16768\n87909 98422\n14656 70455\n40373 82298\n2482 59420\n16804 65612\n9127 15198\n29130 81046\n45363 72538\n11308 11471\n70552 95229\n8458 99464\n34613 46356\n4445 12364\n44819 77750\n17003 86282\n51400 70536\n45822 84277\n31081 80470\n56134 59057\n12246 15216\n55362 98455\n2256 53702\n27545 28751\n6974 68783\n49971 86316\n39494 57584\n89883 93377\n77805 85645\n14355 61004\n12363 25718\n3575 34195\n1506 17450\n20067 89753\n11277 95950\n75428 76578\n3160 58911\n36813 69014\n45714 89610\n8503 75320\n34783 83154\n29428 48843\n42615 61446\n14186 26030\n34766 64649\n12687 28613\n25823 81755\n61357 77245\n12536 63586\n63563 86773\n51062 79776\n31028 76738\n25339 34644\n7056 87624\n79395 81770\n26175 70972\n20603 61009\n8261 38125\n14592 88887\n5030 62517\n12949 66735\n23928 89195\n48112 55474\n27307 50247\n77334 78724\n5351 59323\n93473 99734\n83806 90256\n25582 59595\n7484 10494\n19340 54926\n14196 52609\n56414 96958\n11121 18799\n35454 58308\n4229 72285\n43554 80702\n41857 58948\n46209 94736\n46190 90435\n12071 67138\n68196 89279\n6137 16782\n58674 69352\n5715 54067\n11771 95549\n30476 78330\n48912 92210\n46299 96746\n302 80994\n40448 51467\n46607 80276\n34629 84141\n12354 46095\n50491 61408\n57332 91834\n43678 78359\n161 47201\n13994 53557\n53559 81426\n29703 75648\n44335 89195\n17222 45962\n16629 91531\n1606 81511\n2390 39143\n3349 40408\n71693 83320\n87169 97883\n56003 61446\n3056 31006\n54814 98458\n8718 55193\n12996 92670\n30294 84320\n20943 33547\n13651 42005\n26001 45075\n38433 98658\n23264 37081\n77382 77881\n13404 49639\n29269 34033\n40922 56985\n21869 60762\n73031 96128\n24943 62311\n76323 83090\n50561 98558\n16553 63951\n39338 57286\n11190 63903\n31230 81210\n14616 98209\n8442 52224\n44900 50182\n45755 53113\n1939 3383\n36313 50148\n19762 67074\n28812 94199\n24304 59075\n21863 51725\n6350 56544\n31584 40361\n5295 12507\n8789 65151\n28035 33497\n46198 49531\n42141 55048\n3212 14799\n56239 92111\n53025 76369\n45575 64751\n6665 49632\n8323 74953\n67893 83275\n54617 66822\n47155 82625\n69506 98750\n67843 91105\n15911 24568\n48508 64432\n35745 92303\n43373 92687\n13365 56537\n51132 60383\n16615 37505\n8104 60538\n44190 90905\n45121 89096\n44720 64209\n2107 93246\n88285 99522\n31487 73327\n85256 92511\n20429 35849\n49968 60323\n6144 52238\n11800 42717\n72376 91779\n30825 65209\n66832 92065\n45346 58989\n23160 88287\n25195 82632\n48222 77739\n13568 88447\n35065 80744\n19233 67373\n87804 93206\n11175 91883\n4094 98411\n6212 46414\n31859 54089\n43016 76681\n10834 94253\n22922 62099\n30840 67532\n24911 25712\n54950 67614\n25015 73926\n43765 71762\n32327 54752\n2688 59579\n47038 87805\n41665 77352\n18203 36430\n43044 71185\n28471 79181\n19115 70762\n10097 48762\n11590 81579\n12723 39553\n8485 29347\n15342 63021\n18789 34135\n3044 78121\n9141 20558\n40029 66694\n80635 88908\n20688 34182\n8902 27305\n58471 88993\n11784 35847\n3675 5730\n53110 53755\n29207 63084\n87637 93213\n22591 59448\n55706 74125\n27253 83759\n72215 97466\n61594 98171\n11037 50095\n81726 97468\n2795 73806\n20699 83765\n32935 35354\n59759 94344\n41675 55655\n21710 77082\n22601 72002\n13615 57149\n17244 69866\n71101 80900\n14718 69690\n59444 79578\n43176 60750\n6371 82727\n4643 56363\n80045 82500\n82680 90871\n25343 48238\n67657 91092\n44804 94736\n65070 97858\n10427 11631\n45861 70703\n17677 88752\n44988 50010\n28368 72515\n38734 99868\n52897 84790\n52375 90808\n287 85904\n60717 89266\n60477 66490\n37560 94164\n30796 37797\n6148 86734\n80531 96657\n18173 70146\n44365 96089\n81444 98556\n337 40467\n33456 99405\n37689 68698\n23263 38134\n2880 83842\n29682 33085\n20861 74534\n56320 80294\n4729 59974\n14731 52190\n29517 64129\n3767 27011\n7796 50660\n1770 74541\n4755 76900\n20568 98921\n29422 76561\n22232 23714\n42634 69258\n8652 55118\n33540 52219\n43180 88807\n49377 72318\n10913 56226\n36188 99337\n4460 50354\n15642 99247\n20256 56366\n6270 14509\n84581 90447\n32057 78759\n28498 95811\n53945 65097\n43860 90575\n29936 55016\n35683 47464\n2520 46230\n19761 45703\n82254 89089\n61401 97229\n93907 96133\n26756 35767\n31415 77248\n62872 88934\n5627 14813\n25611 83265\n13190 39812\n12175 13740\n21062 95196\n15814 17715\n30592 31846\n874 38186\n32393 81919\n2639 49211\n49120 67815\n91099 91117\n37043 83723\n3960 96793\n26114 57444\n77539 97400\n5511 6235\n45546 68500\n33814 89574\n25650 42766\n3387 51163\n58679 87088\n73466 77185\n43496 53862\n36752 65872\n25210 49287\n12857 77246\n12090 77863\n36342 40997\n15594 83015\n30800 86403\n42512 89292\n14106 54992\n39526 78230\n229 84470\n29901 85287\n9466 93260\n56655 98017\n6975 88450\n33967 91388\n37724 90013\n26688 75101\n47463 96563\n42720 48376\n4897 39338\n53424 66643\n22830 83261\n20885 53447\n42203 61270\n5296 94950\n17323 87177\n36929 81930\n10873 24676\n27704 75963\n37971 93795\n46462 58136\n38071 98895\n75764 88655\n57571 84582\n42775 48022\n15815 95216\n1530 84494\n9589 90997\n35454 64982\n9855 61902\n61214 62521\n48021 64186\n74092 90596\n40208 53696\n36443 43582\n35297 37335\n32514 56885\n55602 76571\n43005 56407\n7359 19045\n70908 75170\n25704 88149\n21080 78168\n60200 95023\n62716 81332\n84674 89448\n23049 97527\n22051 80560\n5491 63190\n7277 64231\n4287 65561\n4806 17516\n24879 67787\n26266 33798\n23483 85815\n54655 56339\n12478 87600\n42357 44249\n28750 38547\n74902 87397\n7843 70004\n20868 70485\n832 39375\n13927 21475\n30440 94954\n7982 31984\n39439 98833\n53496 59151\n5832 10280\n61621 74568\n54108 88619\n3419 56392\n39009 56727\n65597 94195\n46686 63363\n14163 46563\n20045 44058\n65524 93393\n4565 61919\n87786 93638\n71219 91538\n46544 76871\n81211 99566\n41398 56894\n49884 70422\n36338 38732\n6689 68042\n8612 40620\n9080 85220\n47516 52590\n18498 60181\n42255 49271\n2898 77299\n5538 62341\n31861 66133\n26716 77981\n17523 98010\n6957 87871\n754 17818\n41970 58325\n53848 97299\n21698 71324\n71413 98163\n44288 45935\n2980 83024\n20364 78420\n53268 66487\n37956 93888\n33583 48421\n5009 40059\n25727 65066\n6936 82799\n49109 52915\n52253 88723\n36663 38575\n25257 82302\n18855 67131\n7010 18579\n86268 98786\n43133 67360\n3375 88088\n27236 96972\n38725 56335\n3676 38995\n42526 78579\n14762 51498\n52495 98240\n90330 95594\n75452 80634\n54580 61559\n12666 86144\n57004 95733\n59906 72462\n11825 78963\n53651 91088\n8286 41563\n2413 44219\n8711 81098\n4864 37102\n30725 95066\n60993 91281\n10522 73504\n5040 80661\n29316 81458\n25231 83548\n12837 48039\n35138 72055\n60703 82095\n7019 76140\n1531 87524\n51497 56116\n3439 60881\n63942 85659\n1274 10736\n56801 77396\n6974 8383\n44969 80206\n64546 70353\n14153 15030\n11544 94725\n70874 97232\n45659 58591\n3627 81785\n64543 68540\n58643 97891\n52505 78259\n47265 49812\n32320 53452\n27261 85559\n28761 37896\n55169 98658\n54430 95510\n62612 69850\n14270 20316\n68922 88074\n37312 94396\n24582 35244\n10699 39326\n6035 92365\n11755 51176\n40023 79083\n60989 96944\n15518 65547\n13893 88541\n42010 49643\n2235 56309\n36068 51098\n64312 97574\n25612 88577\n34480 68897\n30542 83250\n69811 87471\n10779 16557\n26962 88003\n53061 56203\n20407 53530\n29326 80176\n38081 50711\n25725 37426\n15518 58934\n8179 59871\n41525 78431\n22842 82484\n25665 68831\n85127 97271\n30315 92022\n7418 91444\n8288 92605\n3052 13027\n23799 80716\n54428 54928\n13474 18612\n11182 57938\n3607 50297\n32630 89584\n28582 30116\n30815 99450\n9755 72083\n7857 62394\n1482 51342\n48193 62955\n56348 72174\n10871 53909\n23631 79201\n66125 93274\n2195 91045\n15615 70364\n4877 33694\n15271 93538\n10654 16736\n32418 80925\n94418 99074\n60399 81158\n16204 66412\n45602 85944\n48397 86085\n34404 69234\n14504 40729\n40760 55582\n38236 97958\n5375 70308\n22527 68723\n32272 51076\n54029 90781\n59988 95376\n13123 24473\n27802 37546\n49772 75164\n81521 88933\n42957 93674\n11225 71362\n51199 56915\n13592 31059\n31796 98635\n25140 33519\n8651 12451\n24126 89042\n6857 35926\n73109 92778\n10187 48518\n37888 89360\n3015 23577\n47104 71178\n40302 56236\n20201 50634\n69092 81922\n37094 84713\n40197 83354\n16688 33027\n682 92926\n33665 68294\n57007 77237\n71358 75071\n11401 58063\n28970 94039\n25067 95419\n6989 79633\n61251 88571\n12689 14713\n35433 82552\n16909 64124\n64465 90440\n66137 86841\n20811 27263\n14251 41349\n75273 97878\n14256 97823\n4744 9099\n32607 54102\n21829 59796\n2137 63502\n69863 92310\n12943 30297\n76743 98535\n64993 96343\n15220 33745\n18326 50541\n79053 81256\n25477 48600\n57537 72350\n83388 99620\n82300 86926\n57318 96044\n20731 35433\n20689 79007\n2346 88665\n150 83329\n66598 91691\n4685 70383\n10290 55978\n42093 90726\n32105 97180\n5990 83456\n36457 51320\n27438 47824\n23515 91422\n4599 29675\n3038 42659\n72120 94236\n10603 86329\n67123 83202\n34413 86572\n70370 78373\n51762 68646\n6396 7585\n6745 21857\n70550 95004\n84746 87126\n22618 70148\n523 89018\n30107 52170\n10613 95459\n16614 33087\n14130 73433\n21821 80117\n14140 75290\n64574 91732\n14788 52176\n58802 99033\n3215 4096\n22681 80682\n1069 58406\n18833 35354\n35547 80010\n53723 67867\n34190 49731\n8668 82268\n37025 62067\n76763 83892\n11722 16828\n48775 86546\n20837 59028\n48449 63756\n1016 2598\n29863 65545\n25945 97053\n30920 56828\n10016 58270\n2187 65481\n54415 85061\n31176 31445\n27314 67643\n10575 34079\n56727 79532\n34836 38823\n52074 94136\n40207 52498\n60701 82096\n17434 77588\n1539 53590\n42996 77844\n73297 76639\n14570 92064\n3168 64449\n61774 96942\n3468 93262\n10187 78756\n29289 81132\n46453 73771\n41810 71598\n35590 53377\n4045 93858\n20981 98497\n25280 33313\n52670 72117\n91636 98778\n3841 26987\n21285 28044\n33287 68517\n78614 82447\n84342 90882\n46642 91292\n27058 63233\n20065 56961\n24996 55476\n10859 42799\n32873 94006\n1425 22943\n25502 52654\n18919 20241\n51232 81245\n6293 48048\n29039 99488\n48813 89675\n11767 25636\n23104 57241\n9517 20683\n10841 38422\n51841 63393\n2996 20369\n7296 49645\n52003 87605\n90274 95096\n3402 13639\n12308 63329\n46282 89085\n693 52556\n49093 92854\n6833 52232\n23989 92265\n49870 63527\n38609 93082\n46946 88226\n41785 49804\n1291 34979\n92502 98159\n62789 78478\n24805 24960\n57837 91705\n31336 89928\n4314 22515\n10811 62273\n64081 93709\n7999 98742\n46078 70610\n30406 91336\n22369 84369\n72056 75644\n19619 52005\n83758 90595\n7493 74041\n81218 92127\n14714 42159\n46000 63475\n28583 92687\n25923 60442\n32289 86245\n5486 94119\n36107 77277\n51636 74412\n40789 56976\n53572 69655\n20200 69236\n35327 87536\n69516 77842\n35699 67873\n6190 44428\n7527 35498\n2392 65587\n406 75568\n9579 52454\n24036 57186\n27746 30243\n56376 83062\n68334 84430\n15629 76977\n44710 65722\n8518 9116\n35570 83480\n2745 39758\n2898 74960\n17596 32523\n11001 69288\n80904 96557\n61580 85302\n39943 77782\n66689 75586\n12265 30455\n17690 83527\n4765 88097\n65528 84688\n41685 56073\n56488 81490\n53295 91892\n2513 71694\n56831 87152\n68320 96459\n1341 87416\n18518 97305\n59918 61685\n30928 85234\n21098 38251\n62863 64859\n43010 77240\n9763 98966\n36507 83811\n21505 44565\n24254 86265\n26303 27728\n14612 28866\n50913 82190\n5862 69889\n15721 35684\n14899 60458\n27481 43754\n36192 44797\n24711 66526\n52512 91264\n10861 36028\n2516 20611\n68847 82781\n11737 20827\n61032 66291\n24186 37836\n24740 53728\n72075 76604\n52967 89361\n37702 56877\n15186 69462\n25724 76374\n12718 68992\n6919 19100\n40437 89713\n53164 98835\n46444 76362\n60718 86024\n30857 58380\n7844 67413\n48278 73213\n6253 24619\n40540 74849\n13581 62990\n60072 63861\n5300 64161\n13115 59646\n31881 43331\n26838 43743\n38367 47736\n19466 41347\n23240 32161\n47902 48533\n27464 91716\n4096 34295\n53522 65979\n20433 95082\n93 35536\n29303 48081\n46614 65384\n587 35928\n11303 22932\n8550 44737\n32611 98021\n81870 96137\n38378 43183\n31826 63472\n3921 66351\n6012 34775\n86999 91832\n61513 94615\n31644 78875\n8055 85431\n79153 87186\n59585 91344\n6291 40315\n68521 82484\n44266 73152\n42696 73521\n9925 35161\n28548 54978\n36240 71854\n39967 63775\n26025 46369\n35043 61675\n61910 99702\n49648 51342\n19900 54640\n15802 41990\n38231 98482\n54764 70977\n4690 92986\n8414 74455\n18090 19391\n2637 23222\n45824 56519\n6890 50993\n69739 92074\n77721 88110\n53959 58726\n70462 93283\n5075 75268\n40218 62951\n70312 81555\n11749 33219\n37939 54936\n29648 92605\n22724 63032\n14342 33481\n16906 57007\n49023 72420\n20570 25887\n21612 32298\n90620 92569\n29986 51876\n12868 54857\n74968 83909\n14825 64211\n38341 52144\n28816 61824\n11686 14283\n48748 68497\n14283 55270\n41139 81164\n62905 74825\n60015 92883\n48433 67234\n18976 63202\n15322 80788\n12165 19275\n5949 21590\n56880 98189\n10838 18379\n4807 20207\n24966 44556\n42303 91296\n71160 97067\n24343 43606\n54526 67462\n48621 79962\n61382 69954\n5327 8426\n39117 40888\n13979 81607\n21006 99973\n6710 18359\n18618 68262\n41801 95064\n44572 69716\n2270 22660\n80815 89207\n28403 88472\n16866 38955\n35253 97564\n36148 55991\n67070 74402\n83176 93888\n54154 81130\n9434 64200\n80029 86758\n69534 93386\n9122 34565\n24858 89026\n55747 65718\n13818 57946\n61274 70085\n4737 36845\n64742 86829\n911 18833\n63035 67843\n21355 31632\n26671 30936\n34525 68283\n62941 93562\n64137 78315\n20937 84101\n91023 92050\n810 82138\n6893 98465\n46727 47357\n16429 17941\n71930 89587\n59585 94042\n7699 8248\n19193 62516\n40551 88272\n73692 81566\n259 36716\n21385 53647\n25858 69662\n34002 98268\n22768 48618\n33360 40080\n27405 45364\n60396 62805\n29925 50258\n57449 62905\n42377 77009\n3762 98454\n102 94416\n5739 52261\n61487 72628\n14983 73317\n10144 54074\n14500 97056\n56539 81561\n55821 65288\n17511 74301\n50714 52722\n83360 99159\n33464 38022\n5203 73917\n6185 75360\n9972 77072\n80088 87169\n30560 48386\n9767 96200\n52279 93380\n24934 90654\n37013 88390\n41917 63091\n28969 67351\n72018 96448\n73581 88782\n84483 89084\n53438 61965\n10861 73244\n63113 78294\n10882 46151\n14563 84517\n31121 82942\n36975 96807\n3874 19396\n56311 77320\n27907 43824\n25590 26659\n1612 81258\n45608 67609\n18746 72235\n4894 7213\n36284 74172\n23676 64958\n32785 47489\n3202 56513\n14634 20967\n40505 77413\n37465 71580\n24881 52302\n58353 63624\n12597 25619\n97538 99771\n22033 48216\n38339 91582\n23898 65470\n4698 87621\n14897 57921\n57731 73907\n92862 96152\n42995 67077\n30406 77176\n47740 60337\n68394 81133\n69880 94802\n3019 66866\n76390 87900\n16448 39238\n2575 27423\n46454 86005\n40119 86611\n8318 27289\n1630 91742\n16033 19972\n39285 80565\n20691 46139\n4693 29191\n54178 72676\n25724 66322\n14745 83627\n37809 91310\n66269 75360\n15807 64124\n11032 57331\n67095 73367\n2635 44721\n64060 66974\n89034 89614\n52820 85715\n4284 75602\n63561 74332\n60070 72110\n25914 56902\n18145 78244\n46011 46614\n25833 28078\n43299 48689\n13372 91410\n26474 29037\n5251 23750\n20878 86981\n80521 95802\n32629 78890\n30787 37801\n55936 92869\n11650 26222\n27881 64153\n12423 19207\n16340 41379\n14879 37950\n14394 76882\n9316 63950\n42406 83163\n68980 78253\n14880 88329\n45699 59419\n82825 95737\n15704 21106\n6615 67886\n28261 52038\n14289 40741\n27254 81970\n56118 64183\n55300 60058\n46668 61887\n658 1197\n7711 15983\n120 51925\n34861 64783\n7803 65255\n1702 37034\n6812 48055\n8528 64805\n17524 38486\n17087 21109\n37114 58223\n14272 69264\n70681 82168\n77680 83952\n9327 38909\n73600 93445\n41585 66640\n41691 52533\n66224 87072\n52443 92086\n35368 78241\n7824 19785\n58173 68224\n35326 49239\n59622 65479\n5956 34956\n30458 74454\n48620 99040\n85858 89250\n15728 39522\n987 48200\n54668 81371\n8202 71860\n24770 77589\n73053 98256\n49030 67375\n67364 89875\n28636 81589\n53688 64064\n60259 65963\n19546 74957\n9484 91815\n27930 53766\n5165 40438\n46540 92682\n29036 57667\n10832 16041\n43382 95012\n10786 22419\n82336 96568\n46192 76285\n34486 83290\n42113 55131\n30564 84858\n65213 85120\n67854 93807\n28581 35783\n56406 69806\n1827 91711\n73121 77998\n9215 76694\n44144 56799\n11915 88832\n76198 78638\n14846 89991\n23977 50786\n16371 92278\n43010 75169\n37541 75617\n6342 74310\n8038 74786\n30525 41010\n58849 88558\n9603 31669\n28456 85713\n15805 53092\n18687 83888\n8391 96178\n42226 81702\n22928 83971\n78537 90787\n38682 91982\n68730 94741\n2503 54181\n48512 51706\n71002 88435\n89591 99544\n39799 71125\n33089 57129\n43135 67804\n52607 67121\n44782 48376\n13025 35811\n46750 78067\n37281 61632\n38564 88604\n77224 87193\n26498 67922\n18089 52582\n44149 46344\n22830 38712\n8252 18324\n40536 98072\n586 86944\n61930 86377\n82736 83336\n7266 54103\n24575 51499\n48681 62443\n79221 93018\n1068 68284\n20345 45254\n22382 56838\n64665 76138\n62304 70587\n20137 23122\n74136 91720\n39174 99855\n12656 69434\n17192 61913\n28314 43110\n42604 79392\n8929 56995\n14500 72622\n80996 96693\n3811 30334\n9388 43639\n4644 85182\n6096 26461\n75262 94955\n59549 79950\n15249 92160\n33920 75983\n64649 65661\n26027 47057\n4946 91661\n33627 41536\n30846 82213\n12620 80904\n35458 66946\n45269 50569\n18746 87771\n19340 53656\n48167 98206\n44950 49414\n50896 55736\n29342 87475\n3267 62672\n20821 69013\n78078 86505\n51337 86477\n51405 95871\n1998 55506\n67666 79121\n22586 97041\n56994 76999\n18381 37785\n44742 76207\n16741 94359\n74970 87105\n12292 30711\n12422 70096\n24937 57977\n23499 82176\n51735 71917\n48800 79529\n17504 97964\n82456 96180\n14380 61778\n30467 49730\n13106 33265\n32312 77565\n12566 94751\n52086 83233\n49586 52136\n58156 95471\n4254 60766\n36758 41598\n7658 61521\n11837 16176\n58032 58228\n7191 82041\n28812 72850\n68565 86034\n4166 28419\n39307 61986\n1072 62024\n66356 69542\n64958 79313\n20735 71618\n78437 79837\n37759 77509\n29649 38561\n76560 81225\n26301 80370\n62823 89017\n48121 73599\n14122 71412\n13619 48077\n58022 68230\n5619 21836\n26540 67279\n65151 69501\n36736 89554\n11155 22293\n69185 80758\n3753 82954\n52362 96294\n61525 66336\n41603 66916\n29789 54307\n36842 47415\n18246 57820\n39285 98028\n2015 35152\n15959 89917\n590 72362\n34599 40216\n32568 90214\n46301 87627\n12481 53742\n10974 64303\n48049 51587\n6331 54792\n46032 69448\n42160 80302\n78924 91654\n13105 44338\n48536 51280\n7372 33703\n36264 70996\n15308 42552\n22371 48646\n46811 68859\n194 35602\n81854 94524\n42715 74598\n61137 75472\n19438 67531\n13546 58369\n88923 96824\n26937 51173\n63831 99785\n38821 87926\n9613 23551\n86546 99490\n70093 93315\n52099 58835\n26777 42406\n20088 72560\n12904 25260\n9080 89002\n31260 37529\n18769 66733\n73451 89519\n6835 37526\n42551 77020\n92888 93043\n28538 43955\n8145 76517\n69117 71894\n69320 76199\n3252 9751\n84056 89497\n10024 38536\n55105 64272\n17516 69964\n12481 63275\n45332 58294\n42544 84965\n20471 33946\n34317 96338\n10748 62904\n40077 85690\n11818 63115\n17310 67114\n48637 59035\n8918 33187\n10146 31998\n54807 89031\n33230 38139\n79802 91301\n93926 96911\n35483 87160\n24636 75609\n2862 53878\n61844 62727\n6417 79365\n54114 78976\n5544 87959\n43019 62545\n14682 15093\n26071 71522\n2949 83673\n32342 93737\n36620 46250\n10545 71557\n80832 98474\n69704 87142\n50141 80356\n12819 90478\n46764 79863\n49774 60971\n65034 99435\n49593 77447\n22949 90037\n16347 95253\n10861 11549\n32287 51469\n64865 76302\n47001 65724\n1784 68766\n21823 83910\n4438 46540\n4843 12497\n13616 89584\n27742 72729\n23465 45106\n20069 25364\n16212 50628\n26509 29236\n79930 89020\n37597 96349\n15401 96750\n8476 12470\n26667 79399\n13958 83601\n15819 32886\n42289 73482\n2058 11028\n32721 51415\n42588 82708\n24553 67788\n8207 49598\n10960 82158\n12982 59345\n19044 93936\n8638 72091\n40727 59928\n45435 90838\n46688 92450\n45591 81639\n33955 54571\n29593 53286\n1154 19832\n39656 80253\n33367 76272\n32715 70156\n9228 15586\n28323 85868\n49460 94041\n49797 80330\n12073 58276\n5320 98077\n54812 74934\n26392 92562\n53163 60138\n23511 67243\n30808 51248\n53719 60486\n50359 89165\n6243 9621\n65268 76079\n17597 19636\n14689 32081\n21063 26959\n75446 83208\n16968 33599\n22507 61937\n4232 58681\n6085 46606\n59206 66846\n8044 21404\n2685 59644\n9579 84193\n5771 49530\n4194 9663\n53079 72032\n33113 53378\n20360 89716\n62480 87280\n79449 93419\n15955 46933\n36997 72800\n10105 10707\n72539 76630\n29502 32416\n28864 92941\n66212 90147\n11937 88439\n73215 74352\n65865 69905\n76705 85882\n50120 50125\n20787 67822\n20307 26756\n37671 98948\n43948 62539\n32526 92855\n50563 94193\n4860 63844\n38316 44760\n78158 79077\n64539 87603\n18052 30083\n71825 75642\n64824 89600\n11790 30229\n79350 86628\n40855 79015\n40524 60193\n16661 32902\n21042 28992\n9224 99807\n34529 60310\n12335 15553\n45690 74185\n14926 58696\n50828 67553\n79278 83708\n25208 98052\n55853 74345\n40140 80622\n52359 80011\n2040 61021\n67264 94084\n15559 69959\n47571 75124\n43935 55789\n58672 93754\n40296 50796\n72111 92014\n46459 91014\n5812 80265\n27382 62989\n56437 56984\n37485 89013\n33769 96819\n39445 75948\n33256 35165\n2470 53677\n757 19906\n49115 88042\n67073 99316\n65298 91364\n16681 19019\n22620 31183\n422 4730\n22698 42638\n63762 93857\n7119 64335\n12217 86891\n95188 97386\n14902 82995\n23128 54255\n13105 97849\n33213 34671\n71674 97500\n75017 90817\n18628 30823\n15025 19610\n12717 88283\n36177 98724\n65837 92348\n1868 51075\n2692 93908\n26294 69235\n7722 77260\n9587 66845\n31582 89138\n34723 92237\n44752 95650\n44011 49363\n25858 51630\n2532 81086\n73139 84910\n55535 81647\n26635 88961\n31059 45590\n47879 91953\n21088 76913\n29652 52647\n11618 14088\n11816 96767\n61311 86702\n32169 65691\n17811 85688\n48445 53856\n37002 98912\n61697 97139\n42658 65558\n20094 80585\n42276 89247\n31949 32463\n69967 94156\n64033 81814\n16931 76907\n51835 61095\n56166 59344\n29277 82783\n45584 69278\n52820 99901\n36720 49133\n39400 77464\n23249 45887\n17876 96165\n57194 95309\n54727 87540\n40567 65348\n81191 93776\n6465 40901\n65320 74496\n1004 48703\n64550 83414\n21202 71521\n33191 89424\n58698 74839\n33890 91671\n44703 98252\n20239 84588\n11663 47141\n25408 74523\n13868 21474\n12589 65593\n8353 62590\n32901 66111\n76998 93268\n38307 81843\n48420 54858\n7356 83863\n88931 99700\n61107 78732\n914 64125\n25870 34409\n62610 81023\n21350 66802\n9083 81565\n23669 56339\n66060 75746\n13589 81051\n8598 87251\n40594 45416\n14283 44166\n52553 76348\n30072 58697\n28901 73697\n63055 64226\n64747 73491\n34797 48810\n68148 77904\n23271 79444\n6651 66808\n35014 56685\n19951 48292\n68292 78733\n73932 82656\n17898 65222\n8110 88354\n48988 60292\n52936 57902\n19722 24881\n16876 66799\n5995 95515\n20418 30251\n29489 38423\n947 58914\n78054 87824\n35320 47411\n50149 50577\n81006 94065\n81327 93473\n4371 70576\n26088 84527\n61909 63084\n9066 88205\n28358 62663\n19953 94689\n9762 38450\n7358 13574\n78512 81628\n10391 81344\n90107 95084\n45752 53441\n8551 50026\n44337 86899\n73084 97656\n60962 97794\n42327 65913\n7234 66455\n54447 60543\n29852 98728\n42873 70113\n50788 62605\n80592 85862\n76064 94303\n11766 18175\n37551 45401\n22319 89771\n25426 79101\n9676 90192\n64742 66869\n35377 84155\n7175 24340\n11995 15147\n52822 69910\n50415 68308\n9858 75361\n78020 86674\n24939 61563\n39363 44335\n53111 56612\n11398 63469\n12110 88371\n80653 92559\n4530 36182\n35749 35829\n21052 47792\n11068 65470\n9104 74910\n23521 25887\n57631 60807\n44504 81593\n35326 80545\n9534 61143\n15886 29707\n26170 79297\n47472 98817\n40992 83368\n69220 82316\n30342 97720\n10180 97932\n44739 44957\n2379 82592\n46367 79390\n65557 86720\n206 42574\n99 87926\n46488 76561\n38345 85269\n56534 63984\n37104 94562\n35743 80309\n9895 79512\n71533 84796\n73765 73843\n60033 73699\n41923 81295\n29603 84866\n30775 57135\n58041 68335\n28750 52336\n60574 96599\n89011 98621\n12909 71367\n65963 89245\n56537 76225\n80653 84249\n10359 70969\n31166 61373\n7079 78048\n29179 85115\n5917 48820\n15631 17684\n54668 83415\n24610 62866\n33726 86730\n28921 29669\n79876 95902\n61379 82230\n48772 63806\n1690 86524\n34133 86117\n18368 51488\n89462 95187\n29784 53839\n63773 95105\n56344 68484\n27671 35092\n33708 65709\n25889 63912\n73639 96661\n23176 26923\n6063 89464\n82710 86126\n3265 25742\n31927 84316\n12628 28849\n4851 88398\n3204 45619\n19050 60055\n20015 76910\n23838 24667\n49242 51118\n31983 73768\n36876 84880\n22616 50324\n20842 96374\n37944 48275\n8666 32984\n40300 51451\n46434 95540\n31515 36863\n45765 65317\n64807 75758\n48550 99097\n73369 75600\n14080 33173\n61690 83422\n64610 71818\n10111 83146\n26976 31529\n65877 87547\n37055 38630\n64226 85772\n51454 65579\n29459 72008\n79750 93198\n8794 24843\n15607 41120\n6818 94445\n14967 43559\n62757 98322\n36305 82417\n26439 91805\n8888 37118\n10601 71470\n41507 84309\n19784 49162\n4425 13696\n82002 92342\n91726 91752\n56150 89816\n2772 48393\n21452 60093\n8269 96543\n86674 97199\n47752 66273\n9648 13666\n19325 95485\n39544 54971\n67686 90469\n23552 65351\n62117 80360\n24299 27617\n1342 64079\n4476 42698\n46972 49897\n45597 54128\n43090 97869\n5365 35864\n47176 92299\n43302 68793\n48243 68533\n38768 84345\n57162 91769\n15933 66039\n17024 23623\n17695 40092\n1028 55216\n40724 64371\n34507 93694\n52390 82297\n61886 98653\n18938 30234\n34197 38014\n59838 96053\n57705 86506\n21090 90021\n3080 85705\n10218 38571\n15054 46106\n71691 91655\n2578 77312\n30345 76909\n32583 96144\n47536 55542\n5978 79878\n62458 78229\n71747 97138\n42043 88441\n8575 45319\n48262 71271\n69920 75026\n57876 72522\n55038 64695\n17476 79122\n4876 5922\n14152 80276\n86067 94749\n10524 19511\n51192 66552\n4239 32067\n80473 98371\n44588 54504\n38548 72872\n10622 37975\n3859 43820\n3707 79992\n45292 53738\n47151 83900\n18673 31673\n1971 54370\n4122 21725\n52357 74373\n15167 48395\n5963 40101\n56463 92169\n59188 72034\n5080 70499\n6714 49590\n2325 47565\n46990 66311\n17484 33400\n5505 17546\n15589 41294\n1152 93749\n1062 78056\n27640 75302\n9473 10894\n5983 84174\n61093 96672\n55241 99181\n55298 74162\n4896 90127\n14017 38635\n16451 94983\n27141 51321\n29609 51463\n47885 91044\n47459 52306\n22141 29332\n50447 98724\n14504 44180\n22994 87152\n6132 97931\n2696 87043\n5161 50292\n16297 21818\n42338 43185\n24314 49971\n17625 75099\n55112 59889\n60442 81244\n6549 17686\n22391 63091\n39772 60846\n21810 34019\n7663 54939\n37803 39460\n27552 68848\n12306 54109\n88574 98530\n11630 90891\n11998 14461\n37024 83076\n17152 33251\n11688 73958\n4345 86340\n52494 62563\n18672 46473\n50246 83816\n30035 48359\n8304 48320\n16405 85489\n24347 46673\n17305 67780\n73571 98081\n43781 91709\n40627 65036\n18989 80223\n41384 64672\n13390 57754\n28758 83502\n89844 93118\n9640 19696\n55431 75910\n37189 64321\n1038 51906\n21586 43994\n7259 72643\n36338 67184\n63759 90852\n17260 54148\n31938 97724\n8817 97541\n28186 93062\n23940 69238\n27500 28470\n11735 82008\n68301 92210\n40047 53618\n12187 92798\n46121 60351\n5478 32612\n39580 74496\n27148 66607\n62892 73659\n8774 57199\n17868 19530\n27932 54640\n13369 24213\n549 35839\n65623 91660\n3211 85983\n28339 77144\n11661 14172\n47494 50102\n58186 61134\n18463 81302\n13492 76518\n29747 97415\n29433 58702\n65932 66756\n29132 32115\n70916 73015\n5491 74128\n5360 89150\n373 10118\n22842 66726\n13153 95624\n533 80459\n4715 48260\n25965 65785\n8959 54268\n17489 51612\n12756 45066\n52945 96334\n26018 47985\n15843 20196\n7761 56474\n51618 78022\n3022 67501\n34715 96226\n11514 58936\n53124 87765\n57896 62362\n19563 38744\n91285 93220\n53998 87780\n70584 92848\n67087 97140\n14319 37816\n16086 45465\n42126 98580\n37478 82448\n8581 83767\n77273 83937\n51846 69901\n16084 43246\n24725 74174\n68179 81258\n39215 92780\n79235 91227\n41022 51627\n42882 71397\n28905 68352\n24527 96950\n57414 78001\n75977 96609\n37104 83866\n19009 71547\n981 40451\n33545 70599\n5869 62048\n56654 76151\n11841 98617\n32899 99731\n64279 69766\n59955 86862\n27850 56871\n79743 98878\n21825 43755\n2633 22227\n34107 84429\n90034 95060\n6158 57594\n8620 57323\n14155 33864\n19619 74985\n60351 87380\n77693 81341\n6401 76965\n18730 80881\n17819 28615\n38980 90385\n41345 41934\n91805 93163\n9923 84860\n63750 88273\n10675 43839\n66435 96829\n11816 70249\n30234 91772\n1843 30076\n18343 26625\n31460 44700\n18955 85828\n23071 36804\n2458 3252\n9576 76869\n33296 95628\n22223 81767\n17674 65887\n21305 42423\n4027 19166\n21649 48775\n81341 91567\n16945 60898\n52608 89685\n88767 95354\n14082 82448\n32289 65465\n41210 59347\n17401 37020\n79702 96021\n61668 84975\n14045 54221\n84578 92528\n40870 81014\n12179 39956\n21750 61903\n16860 83955\n67841 80219\n10399 82883\n846 99191\n14455 63212\n71226 72542\n49105 84912\n64598 68318\n31718 96402\n16226 21579\n4977 37462\n2399 21282\n42456 59988\n96116 98235\n14204 87955\n3668 41656\n10432 77989\n4891 9485\n15312 61628\n34146 73000\n29602 72743\n29472 64166\n25083 93799\n72762 94947\n38252 56182\n81788 99837\n5284 9167\n26001 52133\n15344 90587\n61571 69998\n20797 82002\n24068 79112\n37823 89227\n4200 51684\n46193 49107\n34078 77902\n5861 44103\n78777 90575\n26612 90373\n3402 60514\n19216 93591\n34611 71825\n7991 50797\n3277 83902\n55238 97397\n38281 84440\n32108 51492\n24830 71838\n20110 45762\n11389 59087\n32924 35362\n52675 82749\n81193 91103\n13638 38336\n28167 47355\n69966 72112\n4310 53721\n13879 25279\n54656 68296\n13861 33665\n64865 87986\n17046 60393\n24244 43833\n15199 59947\n4552 89932\n29312 37524\n36725 93454\n86357 92006\n62434 82770\n35897 63115\n12403 17111\n74684 99849\n11027 25540\n79191 81860\n76713 84097\n80551 80991\n39808 94093\n34838 41767\n70645 75942\n35046 36410\n23919 47065\n27689 83397\n77212 86027\n23105 71905\n36198 63776\n93849 96297\n30485 36625\n15432 73294\n16309 58052\n43171 59015\n13065 20944\n73044 73298\n10085 79729\n95737 99419\n40683 71858\n17422 84150\n80563 91353\n85578 94294\n24219 90147\n4896 41256\n63504 80917\n6181 43348\n68776 79585\n25503 55283\n12936 29294\n57912 96231\n86873 98893\n12136 33600\n78959 85187\n44346 88390\n58735 72864\n7254 33742\n17234 72190\n73264 78838\n66013 73937\n12812 52908\n48168 73878\n47892 95263\n49178 65709\n21383 67490\n13242 85132\n31171 51057\n74620 94533\n39206 87163\n10184 19487\n52641 71479\n40283 78200\n6687 65382\n16452 53683\n19577 90065\n24620 27193\n39294 81539\n70096 89823\n26722 62596\n7200 15339\n73586 96269\n22115 33805\n19649 97165\n28227 77161\n74457 79027\n77394 99479\n43101 91801\n20489 67529\n57735 67882\n29433 75783\n3181 98171\n47113 67064\n13618 41738\n39351 67444\n34577 57851\n10918 94308\n56717 58731\n24518 46724\n48216 63944\n20089 64012\n55498 97221\n29189 67268\n42310 99244\n4321 29034\n29802 85244\n34067 94475\n27155 71297\n31018 63798\n19048 72879\n87814 91876\n77574 88222\n25772 76048\n21295 22130\n64821 94159\n39005 39244\n67563 87885\n47336 80019\n57175 88503\n33138 58109\n21063 31599\n5135 17432\n4598 86838\n39248 98193\n58607 91553\n49621 54460\n43091 74585\n31060 96633\n44888 46909\n46991 88221\n36325 51167\n37195 44717\n23674 79568\n4621 15620\n5336 18412\n9932 93366\n21422 97260\n83219 83619\n29394 37793\n5834 7165\n8056 14101\n54319 55258\n34522 71980\n17240 71774\n30219 60693\n6553 72202\n86405 95579\n53489 89438\n2489 84359\n60236 61217\n48380 56324\n23777 75839\n23244 53472\n55421 73458\n41938 59896\n52573 62823\n2267 27001\n19912 58252\n23606 59092\n32440 32488\n76369 80511\n18493 64431\n26179 32653\n59019 65386\n39956 83086\n65917 69770\n9250 54122\n26166 52263\n20150 98082\n55248 93156\n3060 37771\n24422 74794\n30417 45791\n67722 73604\n73685 77081\n8696 17969\n31875 97629\n83230 86371\n13664 66194\n26194 55003\n43486 97476\n90682 97316\n78437 87943\n17393 36711\n86470 89391\n23090 96611\n58964 60122\n5203 83713\n51245 98578\n17071 65565\n7814 37560\n19631 34679\n33152 45943\n30902 99564\n828 76940\n55262 93687\n2887 15233\n22562 50474\n25310 60741\n15638 22430\n13414 19626\n28424 96631\n12781 83692\n33254 51765\n34324 43536\n1987 50782\n78221 92681\n1048 68136\n2685 27175\n65051 83671\n18480 30832\n7464 60653\n10307 80220\n66303 89040\n53485 62550\n52034 90868\n1200 58785\n1591 50117\n21036 29855\n1051 76397\n53761 80887\n14951 60471\n12978 67070\n2488 92993\n43770 68785\n5716 63852\n41630 97302\n27459 91097\n68315 83536\n25065 33436\n48657 95818\n1638 43955\n41368 57576\n13676 37466\n69912 93983\n16488 79281\n37419 54442\n30842 61403\n33442 55608\n76465 90667\n454 95174\n14549 31331\n5595 90703\n42090 47909\n47267 96158\n71421 99895\n47983 84927\n20523 32095\n17883 48761\n16525 19640\n35416 76013\n18279 87687\n11198 62702\n75604 77232\n13742 57859\n26971 59094\n5140 16036\n7184 46630\n4146 57053\n8003 69337\n42154 93544\n30830 82378\n60886 98995\n17170 65540\n16096 19001\n68759 77031\n24475 24691\n22699 86079\n57564 77494\n2944 79787\n82710 84568\n69729 79717\n53986 59252\n19242 46728\n41483 73783\n36123 83093\n40900 99596\n22412 85147\n4708 62313\n20302 31549\n90138 96581\n34980 57400\n31325 54320\n51758 93551\n15043 91531\n863 5828\n31780 56000\n36468 80236\n25675 30226\n36159 99848\n30112 45777\n11753 14653\n55897 81284\n3305 16077\n57807 72398\n62507 87777\n7624 21713\n52395 72368\n45329 66550\n80766 88130\n34191 48357\n1330 42761\n62105 93424\n5925 70619\n56558 78568\n23887 98449\n11875 45607\n62564 69361\n38710 49978\n66834 78734\n50651 66536\n23571 99905\n26050 88405\n27490 59589\n16964 48496\n1657 74980\n5878 42186\n8677 41292\n52291 76632\n60319 63558\n13070 95470\n44121 83972\n38181 93758\n29648 46695\n20542 31900\n3936 16650\n79977 91513\n21976 95305\n39862 89422\n53117 90679\n18205 40412\n47719 71996\n18440 34872\n6496 83226\n772 4367\n59147 75119\n6877 56580\n51197 92166\n47829 87907\n90324 93698\n60248 73775\n11864 42463\n12082 54082\n7821 50750\n43598 84819\n52661 64527\n17539 60856\n38732 49473\n6583 40697\n60947 71726\n32821 69864\n51226 82757\n49190 71231\n22042 75723\n30336 45756\n4632 90415\n78043 97063\n52355 60205\n45433 73599\n12547 89424\n12187 27583\n5340 83816\n91377 95856\n64750 93514\n82871 93145\n46057 80758\n75447 96713\n21012 41107\n41012 44344\n31143 85405\n37802 73705\n1782 19590\n10922 98852\n18826 59434\n5978 57830\n45144 49157\n12175 31262\n82348 96071\n14212 16730\n33469 53661\n49655 98355\n11374 31282\n88665 97630\n64045 99782\n39481 90151\n22642 46769\n17730 26990\n45838 66990\n2585 18054\n1318 53959\n68671 71800\n42284 48867\n15111 93790\n4045 15054\n49514 59193\n21534 28927\n23641 47569\n41492 41829\n51067 51420\n17269 92072\n40246 91474\n23796 96220\n6013 69719\n39643 62944\n24693 45686\n54214 95164\n49847 57747\n28031 78587\n25987 62365\n15680 22666\n40965 59644\n22186 76062\n38712 50772\n24143 72388\n26411 95722\n78720 85500\n6054 11730\n9480 79641\n79271 81056\n7821 88308\n39283 73502\n70465 73647\n10434 54979\n39237 42625\n11243 89555\n80163 89459\n28700 72301\n40444 97934\n48528 83648\n3374 35449\n3150 69240\n5396 67987\n61404 90551\n81153 88062\n27171 41990\n4536 42515\n72095 84134\n6363 49600\n27988 70844\n38137 98580\n20303 45663\n13296 86121\n67982 97648\n43247 46016\n63615 65595\n19173 76206\n63344 88461\n9186 41680\n23269 53071\n4641 36594\n38003 41563\n3046 75639\n46221 65463\n56949 67101\n5577 28513\n30623 31001\n1835 23662\n8965 69544\n17395 77959\n951 47231\n85278 98020\n29267 38897\n23113 59627\n20127 23109\n4614 27570\n2763 99359\n19677 24149\n32907 53562\n36306 51721\n52621 58412\n25915 64753\n21872 22664\n55739 73510\n77759 78587\n59827 64113\n40169 88777\n40451 97094\n75737 85547\n47701 53919\n5004 42183\n66625 82677\n7966 61350\n23022 50529\n1462 18367\n83517 98561\n3323 37466\n26261 89295\n62396 75041\n10230 61947\n69353 89467\n51599 81346\n74997 91326\n17697 86517\n61792 80255\n28900 60896\n31642 43611\n6809 74209\n8426 67614\n30337 98724\n5397 85991\n49510 64611\n73760 77106\n20848 56794\n44353 78887\n16516 85319\n27543 85671\n52248 72993\n88139 99447\n47926 70761\n33985 89799\n6609 9980\n18331 87832\n73714 90160\n2053 99363\n22772 85750\n49830 60515\n73471 92013\n33094 61873\n13001 48226\n29413 84119\n27027 97320\n273 35448\n48183 97383\n8541 14010\n21267 29289\n1552 96012\n13834 33846\n33014 76195\n4149 51537\n3722 67659\n44571 59807\n3322 10395\n45579 81137\n8999 84218\n8612 99807\n80872 89439\n37351 89688\n72525 89918\n69099 95189\n22411 33672\n17625 99801\n46333 79862\n71631 76024\n30413 37284\n71944 85366\n80950 99978\n28613 82716\n71367 95333\n23476 38747\n28927 95074\n10134 94336\n82120 83062\n27428 39583\n8099 86411\n37429 72533\n12451 23696\n73986 83499\n24460 24964\n7597 82844\n84036 94486\n35864 68630\n61669 78851\n15053 66456\n54078 90249\n38050 92277\n28916 72425\n48331 66000\n5243 48328\n23634 25339\n70466 97685\n50695 68650\n27878 48873\n38636 58210\n19484 50642\n38442 89389\n10158 21288\n39883 46899\n37328 53184\n18228 82937\n38892 65780\n3675 10210\n18300 70899\n8561 22857\n16690 41058\n13300 87531\n36929 70785\n14180 91342\n6858 97375\n59937 61737\n6322 24476\n50991 79907\n33383 83489\n83171 89230\n55087 79725\n60687 61413\n39490 44869\n70515 82713\n110 72109\n34688 85250\n8530 50716\n20989 21583\n3392 57756\n95987 97243\n57636 79551\n93782 99911\n5963 60683\n26871 35964\n5224 40785\n31537 53930\n11602 38351\n453 27306\n52352 94001\n10042 27914\n42846 64099\n31110 95722\n12353 45413\n46777 63658\n1057 47084\n9103 92137\n8297 29386\n46520 54871\n50727 81980\n20516 98442\n79001 95548\n1545 65971\n46948 76873\n16369 17722\n20578 29375\n89306 92010\n17962 49944\n10909 68799\n66114 86326\n71363 80435\n27495 71002\n17699 85472\n52196 90772\n7299 22134\n74986 78552\n15762 24711\n60777 97871\n34857 96031\n18662 76851\n35169 53236\n7400 80411\n16829 42879\n19285 80151\n19006 32391\n8345 23277\n28682 46128\n21073 68388\n32009 52174\n65361 66467\n27488 58416\n61166 74847\n25616 92917\n249 65616\n13233 58144\n2487 55373\n38462 77640\n44251 74244\n8965 62676\n35405 54677\n28841 63822\n25595 65183\n12927 80970\n46720 49575\n56241 82435\n64182 95440\n27097 89120\n23854 47700\n21474 31124\n15320 99638\n51905 87314\n66855 94797\n68145 74824\n3360 96276\n13307 24492\n18910 75528\n13289 67048\n4943 87472\n20296 25381\n13383 64277\n39971 43055\n66694 94697\n74695 81552\n312 50430\n35704 91276\n19340 30988\n4103 37522\n37944 43313\n70115 75693\n46357 63622\n8207 70577\n60431 66274\n11392 91146\n11075 33676\n6242 17274\n49724 50875\n18885 19474\n15183 98276\n49872 57853\n65090 99865\n65629 82952\n33417 68148\n67377 86635\n27885 77250\n7558 70722\n54704 58687\n29205 60418\n24072 40136\n50147 79092\n48914 54292\n23138 34640\n60917 78280\n30639 59419\n52195 62307\n53848 95403\n24856 34711\n21252 32672\n14017 17067\n9464 62949\n21690 40908\n35923 69041\n39846 64248\n38660 99614\n18432 21672\n49593 50853\n12039 57466\n73329 91900\n27531 83448\n68290 82974\n25908 86313\n10833 14948\n33868 58412\n26236 31673\n7518 60748\n33685 36270\n21073 21312\n45729 82219\n4132 85668\n71522 71998\n21069 33978\n43740 88136\n84753 86531\n14104 80436\n28247 85847\n22905 25512\n31500 78197\n79930 94058\n6081 38295\n10738 64466\n31550 55682\n63925 79870\n36272 92400\n57949 90443\n64807 76191\n28570 65764\n57524 97401\n17759 97099\n27023 63717\n37822 45993\n32582 76090\n3127 48143\n8516 91005\n26039 71410\n33162 77965\n47176 53545\n30338 39634\n69609 90981\n51557 64679\n48955 69898\n22269 82292\n57245 63821\n37206 65239\n35720 84024\n62012 88454\n22364 42916\n30052 75647\n47183 60648\n21694 44970\n59232 78459\n39793 49678\n43317 50114\n29651 55361\n23208 34871\n2036 98880\n50832 84346\n18115 23272\n30660 90881\n75917 85287\n43227 45493\n37639 56294\n51083 97477\n41357 75126\n43799 69065\n40454 82549\n7275 96972\n58786 90066\n3486 20310\n52987 72025\n7396 82821\n1343 11037\n13112 59723\n37588 61165\n9060 79992\n5091 89275\n34197 56994\n5904 60504\n8955 54117\n41047 94090\n30051 48512\n17843 67920\n29488 49887\n743 21674\n32274 60997\n25158 63638\n26109 87312\n4575 64848\n75048 95763\n34680 67786\n63431 97467\n9290 70987\n575 19884\n72222 87892\n35558 72854\n28640 45006\n15405 56214\n50448 82285\n54689 54699\n28843 30181\n4844 32959\n50125 81356\n39782 47413\n4435 16129\n34048 67697\n1108 64962\n93216 97506\n24782 85661\n495 48416\n39653 48391\n15730 19698\n87956 90298\n3875 10728\n24771 54381\n30762 67806\n42684 74812\n24789 47377\n51530 96400\n39350 66098\n63702 86628\n6290 57824\n55953 57824\n61223 87198\n26224 70614\n6429 48008\n31520 97658\n57252 65565\n30115 60182\n23088 86247\n21860 30669\n20058 26675\n25959 26460\n28222 70595\n5748 90823\n40461 67238\n8501 59502\n685 20547\n25686 30626\n41523 41761\n18322 94968\n15646 72524\n6820 99838\n8745 38121\n5622 27838\n223 67360\n3006 78293\n1818 59101\n21821 67007\n27889 28346\n18887 89820\n40651 72598\n23580 27152\n39523 46630\n15169 28887\n32795 66634\n22359 88500\n53858 63451\n19219 20927\n2549 10625\n50058 57102\n18231 76149\n51390 85788\n14056 25457\n55597 59767\n58039 91237\n43091 77995\n29041 96444\n70079 91142\n63722 87296\n36289 49715\n30994 94975\n20527 46152\n67265 98777\n25145 66138\n35257 49311\n3402 35205\n12754 26730\n50869 90093\n52760 64652\n32118 98461\n12777 64724\n30729 42223\n30748 42271\n17516 55862\n47510 58892\n30485 36200\n91704 95996\n3089 85006\n10379 61335\n7702 78910\n26922 31040\n38217 66366\n15271 70246\n43338 65535\n60740 69324\n8213 38981\n43962 78572\n47885 64370\n10199 41809\n8604 89465\n26364 38232\n32010 66754\n25624 67699\n52062 89222\n36741 42335\n23850 43071\n564 75867\n5856 41930\n2495 25787\n57664 78775\n59286 72968\n85551 86979\n86933 99667\n8462 26191\n34230 88655\n11014 21302\n12688 30839\n31766 75221\n13817 23833\n14533 52452\n13550 32631\n19499 38106\n26369 47660\n17717 89247\n33082 56659\n13912 50118\n79182 82209\n28383 89446\n53066 70056\n58944 60565\n65413 82645\n17539 25337\n45892 56487\n9189 35447\n1923 66691\n43663 58157\n69181 91909\n11158 41214\n684 4668\n38123 53785\n39223 46356\n25078 41976\n6966 67153\n30595 59841\n33758 96997\n536 678\n21398 62644\n76793 78513\n68987 92970\n40306 92833\n20073 75361\n7395 57954\n50433 89116\n54962 74359\n44252 46570\n3659 6507\n42073 66079\n17645 18305\n65532 71468\n4552 13900\n62046 91768\n40908 49768\n27325 31721\n42833 59971\n18759 49920\n5379 84275\n10408 45972\n9983 45727\n23322 29242\n20288 41872\n5796 18738\n27042 51819\n49513 91276\n96649 97047\n10937 57684\n32233 64492\n22339 33934\n2560 67804\n40154 65892\n26769 96399\n742 45150\n42145 70187\n52660 60966\n30956 80509\n50583 80800\n38388 83689\n1078 44606\n63633 99007\n33751 52626\n61 96034\n17231 91284\n37956 72714\n95485 96251\n33753 79277\n33480 55024\n37938 60422\n14485 37863\n32764 85114\n52975 84027\n43020 85220\n24403 62099\n68728 91945\n39314 50164\n95173 99462\n75735 87723\n30534 98590\n44144 47637\n9785 39219\n13479 31164\n24425 50983\n36454 91464\n6894 70314\n53750 72127\n14745 65770\n54133 99406\n65601 89131\n69521 91517\n82321 86784\n17005 54241\n18381 32343\n41129 82725\n10368 79631\n16694 90774\n57722 65846\n55578 75814\n2012 85563\n25797 60065\n2652 88401\n10332 83895\n945 43000\n23113 86720\n1707 69591\n81580 97981\n58964 88571\n15227 49976\n16239 84952\n79101 99332\n25794 74758\n46052 62490\n54984 63411\n18563 74588\n7840 76872\n31428 74122\n36615 58822\n11305 29384\n53104 77870\n13945 17729\n29601 85545\n21049 24842\n62111 87688\n29769 49660\n1453 4596\n5557 64087\n4329 91405\n53593 66370\n18616 46223\n36185 57712\n87460 94997\n32643 37372\n45862 56123\n24192 48483\n7620 65446\n53206 57683\n77987 91862\n73373 88222\n54829 69132\n45252 88611\n43286 47162\n29683 57305\n5215 64169\n79348 85856\n4756 83791\n5813 13515\n72428 95653\n50894 72222\n23310 69163\n49310 55576\n15875 81816\n26964 56375\n47834 57694\n34136 85106\n42539 54071\n13517 62582\n2241 19863\n63817 73788\n16848 51988\n9243 29078\n77370 91901\n29479 45945\n26662 76488\n40193 69526\n27747 93146\n61953 63253\n47532 96696\n85354 92136\n33072 55279\n35219 96707\n46265 80988\n3629 38572\n35652 77688\n13479 17460\n14682 41961\n11054 54417\n7523 65609\n19678 29566\n51321 76838\n28228 31056\n13011 81981\n78414 79383\n41590 83906\n46562 83038\n41796 88942\n20255 95906\n7666 65477\n57408 82530\n6257 33423\n61630 75706\n52124 60991\n319 87969\n39741 57547\n32595 91592\n4559 19442\n62175 97912\n14293 36638\n9706 61462\n64445 77510\n10163 44561\n13350 17233\n58224 75202\n19928 73549\n34091 96669\n56114 98982\n1977 37513\n17171 83803\n40172 97028\n46082 98257\n15428 95657\n40321 44258\n38477 74041\n56246 76160\n8173 63634\n8189 15496\n916 25885\n36208 60736\n55586 62361\n8088 95226\n40134 43768\n9316 44219\n31381 76686\n29585 66716\n488 13703\n32804 67200\n6298 86192\n17968 19490\n43359 66862\n6066 78577\n47186 83364\n19134 47048\n11844 46193\n25177 29612\n5851 91736\n2113 13771\n44771 78149\n48665 84297\n34959 48782\n30130 63499\n50608 85705\n41183 78282\n53959 82353\n15863 93542\n11276 25535\n83767 97705\n60585 62182\n892 67557\n6561 92632\n66956 68067\n41826 62175\n47637 72538\n26542 42155\n7125 50435\n983 95159\n73190 94364\n8190 35246\n89684 93987\n60549 93397\n81416 96959\n19072 45830\n6182 52753\n19409 66516\n73367 86168\n10588 64844\n87575 91576\n17166 99542\n6398 47882\n13219 77504\n5473 96194\n2415 31933\n40551 58767\n53107 73836\n24972 43300\n41691 46638\n15481 91141\n35603 70031\n31597 39514\n16426 46552\n26888 79440\n15870 80699\n44192 49213\n33604 78430\n40684 87388\n65791 90521\n58345 79402\n12193 67785\n62914 92874\n41471 91903\n43367 84446\n39485 82888\n43438 75423\n22533 55066\n21208 78140\n3066 82792\n56688 87188\n23446 56523\n38466 99979\n2773 62088\n33338 94918\n13031 73428\n26425 94895\n49865 69516\n23255 67517\n15085 37137\n29061 98670\n16407 24182\n36379 54493\n7413 95903\n19445 60521\n93803 94038\n44900 48343\n2294 33414\n19575 90114\n49033 58208\n25272 69241\n6014 32539\n83905 92093\n27591 95668\n43482 69274\n27300 64828\n69399 84110\n16573 62747\n20991 59885\n51842 95135\n14791 35347\n16712 60920\n50455 95424\n36841 38211\n63137 94398\n23520 32512\n142 37512\n9520 28565\n4761 55916\n10346 43283\n1672 49849\n36700 40547\n11325 30471\n20934 94167\n65964 86332\n85936 88181\n45148 67027\n22333 81275\n42479 42737\n15969 20380\n4707 85796\n26502 75863\n33338 73377\n43028 59957\n42239 52148\n68290 69164\n35480 74547\n12016 15715\n18170 76861\n22981 25390\n95 98374\n43016 45893\n909 20354\n38585 88276\n41851 79527\n66138 87865\n19856 26358\n7952 41338\n28194 45480\n13853 62575\n24770 32012\n41475 45278\n57794 71034\n5487 66908\n659 74922\n42621 49857\n58853 96503\n33214 75031\n18439 74912\n42741 75589\n77998 90284\n58242 70238\n24929 39098\n77051 85313\n35280 39294\n15320 59544\n13877 23849\n35289 78118\n6819 38718\n45188 85533\n12391 34963\n17783 33827\n40739 43792\n38846 53048\n59836 95343\n11812 72267\n60310 66144\n49794 91339\n52475 84568\n26703 84002\n7433 39660\n10994 59735\n44110 68029\n17369 72684\n9600 62899\n29814 34654\n45252 77051\n20577 33323\n47544 91034\n28882 66552\n65600 96255\n6881 63882\n35627 81051\n28298 52732\n28994 49794\n67637 96726\n34475 71883\n42160 89473\n7161 86105\n23756 55925\n60095 80598\n43709 48851\n2860 89361\n17354 50712\n27293 97642\n40475 73432\n42486 80485\n15514 60283\n13323 40606\n26296 38950\n76065 90229\n12993 70178\n53315 87904\n38262 74761\n43285 92722\n6636 52070\n36875 59929\n41510 81815\n34994 82475\n49736 71222\n12563 33572\n3890 14656\n4646 77654\n42845 79859\n18254 22273\n24295 54637\n28343 46969\n53060 62426\n13695 86655\n26857 43328\n3884 40087\n16276 75138\n9127 21741\n39355 46033\n11067 90599\n21202 33540\n16443 91775\n71897 95129\n79293 97585\n53374 82969\n28824 92391\n1323 47995\n6427 77465\n2451 11785\n71316 74181\n26322 94206\n25150 43918\n44597 98221\n4239 11631\n31222 94394\n31674 41393\n53537 68884\n23919 91928\n33999 48060\n14781 24914\n26337 94132\n65521 90631\n33006 41542\n42246 87612\n16953 82275\n76838 90612\n29515 79949\n6749 10968\n5005 27802\n10572 76972\n23299 92298\n81516 86277\n39455 48830\n81436 97153\n27566 41325\n19678 30897\n26003 70189\n1654 48063\n11005 87935\n84427 91249\n20769 71226\n74214 76488\n11680 21149\n74685 91650\n464 15764\n24547 30126\n73718 77931\n17250 39102\n2199 62302\n59464 74178\n68578 76589\n19971 53664\n47493 84776\n71610 98398\n12842 84799\n8845 9262\n92068 93847\n44517 53563\n33842 37526\n12117 38091\n18619 29243\n17154 60790\n67196 91208\n26897 97850\n28942 36571\n52427 85716\n10670 11347\n24168 80398\n27899 96442\n23051 97130\n30086 41531\n48361 63097\n8923 41575\n46525 96073\n29067 80094\n22041 24511\n5228 92309\n58865 80849\n51961 95450\n61520 97303\n53193 63623\n45458 82489\n27309 55544\n5740 20716\n7181 11869\n76590 77036\n97447 97968\n31587 62417\n12974 21785\n23862 87732\n18867 49527\n61364 71977\n44003 91238\n52149 59435\n36514 38704\n20562 71379\n42962 93588\n9354 39875\n38585 67989\n26047 39636\n30001 32457\n57256 96411\n6238 41516\n12762 63112\n60968 84908\n63268 63544\n469 26337\n31592 57859\n65996 66517\n8144 27264\n33684 93291\n41308 80125\n8515 19134\n10786 46748\n83500 95821\n26008 30865\n9360 63226\n73496 89846\n6671 38935\n13967 57081\n47880 49438\n54886 73177\n9118 29756\n42963 76023\n19769 94542\n32658 59902\n72746 73313\n46596 48018\n23570 37120\n12440 55391\n32889 72622\n18511 44925\n52652 59140\n244 41983\n55250 91220\n60967 66903\n57756 86697\n56403 67088\n41174 88010\n76243 77194\n14319 14664\n47611 50669\n40995 79705\n1756 17158\n62577 79017\n56215 98252\n19475 69647\n38661 84895\n24133 63716\n5172 96350\n423 24684\n52866 87605\n16173 48536\n66038 93704\n1310 73471\n82144 88790\n57093 60739\n7326 88704\n42436 81532\n23903 57380\n69621 86436\n49632 84880\n36441 68117\n8753 73413\n6633 53857\n23088 93670\n26910 45960\n18244 52341\n61207 69768\n38931 84480\n7868 32502\n54306 64165\n68850 83263\n30601 71166\n17970 21383\n24894 43996\n40607 49460\n27258 54962\n34131 83963\n26078 76271\n32441 44943\n10113 75687\n39788 94554\n5177 18212\n9103 12827\n44149 65953\n12911 92682\n56672 99121\n14417 61031\n52450 91550\n33475 71596\n7063 58461\n19462 88751\n48663 66530\n45037 59249\n77912 88187\n73535 78198\n79921 82452\n59721 93219\n1147 94377\n23899 91800\n3108 11696\n3995 93091\n33024 53653\n24602 66229\n8812 76104\n8460 15470\n25587 96815\n27462 30196\n5279 51309\n29992 62884\n157 56890\n17032 46135\n16596 65862\n2063 30200\n37762 92885\n43138 84538\n59544 77674\n41345 61783\n1803 61736\n33136 33816\n29472 75156\n78123 83462\n4215 80969\n37555 74963\n34803 98323\n24693 96920\n50263 60397\n7925 93954\n21478 47738\n15874 94726\n855 39564\n11735 92743\n23089 78693\n46382 55021\n37246 63308\n51517 89042\n1147 95372\n10673 47497\n47614 59397\n14659 32089\n61615 79351\n22936 72291\n26553 56066\n525 37792\n45508 67090\n22958 65754\n39338 65834\n32643 80773\n28628 70936\n428 71316\n45780 75189\n11439 52897\n9783 49819\n12456 16728\n1055 95074\n6418 59712\n3245 96383\n22136 72144\n13160 44493\n44372 70133\n68024 84462\n10639 39988\n12386 71990\n74085 78085\n7023 75370\n39035 79880\n10452 32299\n15901 29198\n63868 77251\n16231 46063\n17769 25526\n16688 19496\n4163 16507\n13079 94952\n55964 61141\n65144 90565\n24786 69314\n27656 33658\n49373 88307\n82621 83884\n44143 83676\n43347 70540\n13789 68974\n26812 66980\n3038 59879\n46154 59802\n39573 46209\n80267 89415\n1699 74872\n4943 78335\n11854 18353\n70433 75533\n79637 97694\n24963 41879\n4413 40435\n4451 98596\n15294 31729\n42730 97624\n56700 67782\n48087 57029\n36878 40260\n23586 78823\n46121 98068\n54386 56576\n10652 32619\n72534 77948\n50082 66898\n65675 67702\n1791 20248\n59022 74226\n16902 71615\n5079 73602\n23576 89716\n75419 87390\n44588 74061\n44820 86688\n20680 27489\n837 91949\n16399 96696\n6219 59837\n33 20373\n22783 23938\n75083 79179\n27855 50265\n19044 99979\n34894 54576\n6006 96135\n675 46440\n50989 92246\n25242 85085\n10472 92964\n21492 28287\n32574 72714\n37303 61458\n43061 99495\n25609 33008\n40057 86238\n20480 81882\n12083 31950\n60567 67629\n6437 21362\n18813 44657\n8401 16386\n26429 64017\n65517 81309\n52640 83966\n24942 78326\n19125 52025\n32389 37858\n14353 92039\n64012 71155\n36709 84758\n13331 87767\n27038 63386\n2999 34453\n27060 54313\n40424 45001\n22392 54054\n9168 99554\n60981 86318\n9976 78927\n24250 42599\n8384 81432\n34222 81844\n24030 36304\n48588 90337\n7981 96416\n70170 91131\n2767 48493\n91314 99662\n10208 43581\n341 46448\n20164 64804\n29240 48155\n49792 91494\n56585 87505\n22034 37817\n22078 23337\n43579 61267\n24355 24957\n17173 54204\n8965 67669\n66801 93670\n38138 85998\n21095 39209\n20262 72598\n87825 94719\n33931 87544\n70075 95664\n46264 84107\n65836 66827\n3665 37300\n59310 65009\n70 83043\n87868 93392\n78483 90615\n36550 69336\n84058 93657\n9904 31672\n14532 28274\n135 74400\n25512 72383\n4004 53676\n4859 72461\n24351 30884\n24984 62466\n13426 52366\n32766 90451\n30108 41485\n3004 9950\n29785 45526\n15234 93023\n37720 77879\n11554 96297\n20556 32045\n9695 12684\n20848 35266\n92501 92658\n53173 76475\n66931 71728\n30193 31475\n26904 99929\n38808 89089\n2331 47292\n18686 47608\n33408 84290\n57724 64533\n20142 97839\n39573 89720\n25544 79421\n44073 90535\n3730 74609\n2652 93643\n72099 88870\n24528 38254\n22814 85139\n53933 65499\n9076 76166\n18295 62063\n36855 46048\n51102 83608\n67599 89534\n81557 81632\n62074 83165\n55849 97794\n12676 73166\n46415 67739\n20425 80920\n46951 50250\n4150 19004\n76029 88556\n27822 31405\n20145 21332\n8660 89538\n4796 14552\n32663 71593\n10718 27407\n29535 43891\n78655 81401\n45560 78008\n25602 94388\n13856 43313\n10146 98972\n6475 87670\n43217 52486\n54942 70463\n20021 74797\n69341 91399\n32326 82496\n27216 84253\n24979 38265\n47992 58765\n11457 22069\n41002 59514\n1857 81116\n33435 50138\n90872 92488\n51620 67964\n2724 95567\n14774 53554\n44341 62649\n9018 81103\n5149 31518\n63112 75521\n7202 28310\n65156 81431\n76514 96136\n28568 89591\n44463 89733\n18452 75067\n31137 40584\n12117 94739\n16887 40171\n43701 46355\n54332 79652\n80506 81768\n8329 66497\n48181 54317\n81717 83562\n51136 58132\n16827 71404\n37716 46926\n70500 85278\n46608 78344\n12272 41365\n14911 24936\n35039 89031\n29211 63998\n8390 8422\n71666 87769\n43117 95091\n56074 72084\n86097 88735\n27128 34582\n37255 87700\n27789 31848\n12382 24926\n17183 25707\n18423 90100\n9617 27520\n21135 44706\n16817 83015\n2977 94786\n3232 49735\n32181 59897\n10537 74018\n1557 50988\n35127 38935\n11885 79523\n27915 91305\n7928 79249\n34084 65969\n28079 55845\n24185 35985\n44616 79389\n10074 89413\n57138 79340\n15931 96843\n48395 74161\n16368 62644\n52215 86319\n26249 78237\n4905 42138\n55677 62172\n38096 44997\n22783 81311\n4528 63219\n35067 92387\n8764 85586\n45340 58950\n58780 77909\n68640 86644\n11219 63541\n9716 42707\n2625 3123\n24530 81443\n69249 83500\n69304 96096\n25470 39670\n37720 47237\n17242 91103\n50172 80730\n5428 34777\n74794 89655\n32004 57968\n85805 86399\n3179 42856\n43731 56960\n1889 73664\n19432 60654\n7511 74344\n49097 62105\n51607 90069\n46827 73842\n316 7605\n1243 24588\n85525 91304\n5123 10997\n28319 73778\n41223 51316\n68191 88618\n181 5190\n22795 50757\n41749 66268\n72512 74922\n42652 50910\n48619 51883\n1250 38407\n15631 87262\n40494 51323\n45063 73447\n24452 74896\n57174 57351\n34299 69205\n11067 87280\n76724 86230\n22395 25457\n71559 97348\n82279 93402\n36657 77038\n18759 64260\n17849 31280\n54971 87864\n27389 59829\n750 12992\n68755 72813\n68454 78253\n1033 60763\n82420 87876\n39485 99469\n26447 76294\n37657 37875\n45515 53996\n30533 91828\n7142 95729\n21796 58198\n62582 98256\n436 51638\n64833 93388\n45938 84159\n23891 50965\n27656 89446\n42915 62553\n8591 69270\n74134 94819\n71184 79105\n35714 62257\n10419 70217\n6966 85418\n17114 22245\n18482 97304\n11687 47356\n60053 77806\n24226 86230\n56740 65142\n37195 75058\n30052 88460\n16370 30338\n19583 20761\n24752 55736\n58033 75005\n20309 57765\n7655 92837\n43155 52296\n33001 68672\n26022 74621\n6303 23514\n49167 81292\n28049 64968\n25547 56423\n23085 64760\n32033 65486\n60839 88397\n43524 70132\n3718 21542\n25689 41715\n77854 86610\n123 95430\n1897 56996\n58739 59652\n37394 73635\n13204 19307\n61431 78567\n32737 38696\n50020 64291\n66871 91847\n92918 95940\n9924 67387\n19705 79358\n5229 95697\n18442 48844\n58580 96497\n77631 92407\n61642 87725\n11718 42174\n55333 65390\n64178 95054\n27211 74961\n29759 97497\n19134 45148\n10964 48626\n55371 70997\n24902 35712\n11659 16987\n89833 91196\n73799 90870\n32190 54392\n17250 74956\n19868 63947\n19861 33301\n41417 55841\n36105 65433\n80479 92054\n1407 71347\n19672 94883\n34129 43259\n83207 83338\n20111 82813\n3120 59128\n19714 67782\n58319 68699\n3438 63119\n9440 77412\n88551 99333\n84983 97035\n18879 40163\n3808 83124\n6 26346\n50027 62450\n61109 74526\n8039 8840\n44850 68248\n29699 77615\n83694 84198\n60028 83866\n15525 48313\n94910 99539\n60651 92975\n16406 17494\n5505 43565\n22535 25871\n2759 60627\n52846 56748\n26005 75744\n72144 82442\n26323 56299\n62159 96472\n54404 60714\n22825 34857\n5289 29298\n33205 39937\n34136 79927\n64072 74858\n54323 91246\n67277 75425\n40388 69168\n27947 70150\n37060 72844\n16112 30434\n9927 15692\n10041 91354\n50879 71650\n17858 26624\n17574 42042\n61769 95061\n9052 27394\n5703 78041\n4908 84147\n19084 22279\n2218 72793\n36699 41690\n12446 67803\n66935 83019\n49707 76005\n18350 83122\n35554 97314\n79288 94979\n53017 79337\n19915 61935\n32100 63785\n3663 7001\n1785 7148\n13784 50110\n15778 81587\n1489 25416\n6255 31924\n9374 29400\n1780 17452\n3031 31120\n11068 97696\n223 14186\n41627 77033\n74367 89973\n36438 87187\n37074 66312\n21031 27690\n21521 60535\n25194 91033\n15416 79358\n92990 96206\n3582 28061\n30545 70859\n56029 98468\n14931 36508\n71732 85211\n58964 66116\n4376 55598\n17776 43785\n77238 91857\n13750 23353\n31493 55045\n11506 75109\n20243 74003\n4798 72824\n5048 31869\n1007 81554\n50873 97543\n19789 20099\n12763 71558\n22135 90059\n15633 86519\n1156 56066\n14274 44374\n54990 65106\n14601 23293\n46447 61760\n27390 84088\n34554 90565\n58669 89590\n206 69339\n42620 45296\n39977 67484\n19589 70953\n49491 81987\n38106 97876\n22520 87671\n73422 95670\n37183 46277\n21166 42075\n72085 76060\n64837 99737\n22735 77893\n87966 96022\n40094 68699\n3232 54664\n53464 77750\n749 80696\n56915 73332\n24070 26237\n13935 43871\n32085 77726\n36648 72484\n21908 97038\n32474 36034\n796 91625\n12438 94020\n48542 88796\n43181 64201\n16710 42759\n42771 88181\n37839 62355\n43621 82476\n87385 89365\n8202 28599\n94965 96502\n4866 39819\n19477 43028\n58441 58481\n35066 72939\n40863 88618\n19837 29162\n8554 25818\n41407 53174\n10324 53010\n5482 46657\n44462 62883\n19053 53678\n82187 85784\n67817 82142\n2821 51475\n4393 77756\n29940 51971\n58361 96575\n39663 77095\n87993 91717\n17451 17647\n11889 88132\n726 52793\n2177 31432\n14029 27036\n3924 81197\n24862 71430\n96275 99408\n46132 87331\n27121 69788\n47448 76030\n34576 43808\n17768 48850\n41725 85304\n33661 64116\n72298 76957\n24790 32927\n27219 76721\n17695 55984\n59286 65334\n32487 46543\n41243 78857\n44569 80766\n32107 77932\n2636 43074\n18675 96588\n621 67496\n67883 80896\n2845 75561\n33047 89281\n30060 77144\n10545 38506\n666 49534\n65942 67765\n38404 60564\n26539 57810\n40548 68250\n69205 97888\n20452 41108\n69958 73133\n11544 46209\n68902 98522\n18487 46115\n20217 22751\n38999 46489\n1028 55689\n5231 73697\n86857 88969\n30219 92211\n31965 35371\n26267 82262\n87744 90732\n45426 90302\n17887 57162\n16091 59593\n41791 82512\n10167 35962\n66183 74441\n3436 17827\n42450 43348\n30576 39696\n62154 65477\n68632 87667\n52465 93251\n3844 78153\n41856 55424\n42891 85409\n6226 69123\n6500 68239\n10216 13737\n34210 68040\n10604 11182\n18423 84844\n38136 48311\n3391 38317\n23980 29361\n35391 73187\n29456 30791\n47940 95653\n38999 76265\n27216 99216\n29376 97697\n62265 71709\n7012 60684\n88291 93055\n5386 25743\n25415 33272\n14598 15177\n59371 93736\n20246 69902\n26808 27976\n75830 87312\n66143 91530\n5247 94166\n6298 22927\n80938 92903\n52620 98375\n94086 95652\n77448 98331\n36386 56326\n40496 91826\n77356 81644\n45866 57911\n37886 84627\n44438 45672\n44666 57036\n32357 75906\n64377 86621\n40552 99064\n8051 84161\n49483 64102\n53576 57695\n34998 81553\n23808 90878\n21350 23817\n22398 35593\n14148 54842\n14945 47768\n34831 50656\n75165 89255\n42855 83301\n11727 22772\n4291 22282\n42788 70732\n30876 85215\n49744 51941\n15207 50944\n8215 53199\n27991 47581\n43872 80035\n77382 90134\n13137 16476\n33813 45010\n65243 69909\n5926 7276\n82559 83390\n90378 91040\n25736 33173\n14844 70128\n17684 65357\n7388 72447\n8679 64865\n11784 93681\n26633 93055\n80460 84570\n3073 80809\n85583 89772\n68084 99095\n7508 69753\n71735 82489\n583 84161\n82424 92425\n71620 99374\n10451 88462\n25564 67634\n53605 77366\n17824 68516\n70142 88646\n18857 98463\n33993 53503\n30526 83436\n11280 90185\n70136 81423\n73842 84962\n44097 79122\n3686 35290\n32875 86403\n64536 72664\n14494 69570\n82476 92764\n54057 55878\n8507 12499\n17933 68808\n74163 98262\n27351 96895\n49133 96618\n15569 95762\n23931 83067\n49910 88183\n81695 99909\n51153 92521\n12678 15899\n11796 45137\n41125 79689\n3549 45312\n40843 75810\n6104 18040\n10969 44442\n1472 95080\n78492 86209\n3029 35085\n1977 89113\n36874 84862\n20187 24737\n8168 46293\n26190 61792\n18578 63491\n25302 73371\n51225 87494\n36348 36501\n31220 31431\n22812 73070\n12962 83316\n30905 40426\n3859 45872\n17598 52797\n403 57889\n12911 73056\n69122 79256\n46862 67209\n13622 55930\n38761 53237\n42115 47966\n41895 52532\n71997 96880\n55010 75314\n18239 21489\n9708 76613\n55301 68221\n5654 28501\n8318 92591\n3138 42978\n31084 92014\n56629 86786\n22773 96982\n9123 65549\n61842 97479\n47363 83198\n31954 96228\n15213 73706\n16161 72311\n62004 76037\n49449 92218\n2459 59331\n27116 53334\n58198 69282\n55229 69175\n43993 44799\n29329 39744\n63872 72040\n1609 73951\n10851 33590\n23532 67557\n45534 81765\n29237 99680\n29537 38335\n5139 10038\n49988 61721\n369 82245\n8464 50854\n45072 57795\n6829 18822\n17760 62398\n17095 38612\n71121 80204\n23170 45312\n72140 74935\n52723 54902\n26389 49574\n50323 51983\n43001 65746\n33814 49251\n4816 23118\n77806 94949\n82772 89480\n3166 40396\n80112 92466\n59119 99013\n28164 37675\n55850 66710\n9372 92640\n15332 52412\n10236 97261\n18515 32455\n48897 51273\n7706 50315\n84816 87217\n23106 31188\n39960 93853\n3129 99627\n17825 60649\n36584 62379\n6532 77369\n23371 29789\n66107 86887\n29345 81081\n64061 93210\n3418 25156\n2240 19854\n79010 95898\n40477 53383\n32858 47792\n69968 97351\n7274 21888\n48770 59280\n9734 77745\n8958 76730\n710 97281\n39890 40472\n64378 81993\n64697 81844\n91308 92544\n56997 84483\n36034 90119\n19690 91077\n18344 18861\n12627 55348\n37270 79497\n26910 34565\n33502 55533\n15886 91296\n23475 64330\n29234 50848\n55056 71701\n39471 79829\n14093 29819\n42984 71700\n48200 54120\n4503 88442\n536 60618\n30219 77866\n57116 62782\n18336 90158\n13239 76721\n19287 84797\n8619 47142\n20922 89775\n48803 56579\n50202 99282\n57758 70823\n18334 19587\n77597 99991\n42344 55596\n31190 89571\n10173 67516\n37655 86521\n40680 59225\n34960 57322\n22832 64822\n36290 66214\n839 3882\n22568 51973\n4770 39388\n30150 84821\n11175 13842\n17130 47069\n3735 29234\n13813 39896\n16818 19363\n17160 95383\n42123 74489\n30943 84832\n18923 99000\n34024 47674\n19348 61417\n1405 55404\n7344 53673\n57482 87261\n37068 44568\n44761 62234\n3497 63980\n26594 34035\n17742 23909\n64805 79676\n6162 54365\n35027 95528\n20599 80180\n58164 66314\n49716 94300\n38520 59290\n54822 99337\n39143 85436\n569 92033\n30936 50203\n76082 76526\n61948 88573\n40533 64551\n9303 77439\n13533 68697\n30942 54332\n13535 72179\n41409 72017\n28190 37140\n42605 52965\n7435 7516\n62660 86134\n30545 41743\n11034 92757\n362 63430\n13110 60603\n569 91075\n29054 62461\n39280 71783\n70145 98019\n6157 56966\n31585 64613\n24486 49435\n15426 94577\n31840 61037\n32129 92241\n76306 78120\n69349 76740\n12918 37368\n455 2369\n64408 66316\n3461 65502\n15220 60772\n32944 61946\n5285 69981\n53814 93076\n9651 95165\n34603 73858\n31528 87487\n57872 89071\n16091 42237\n20077 93680\n59376 83694\n16879 93705\n32093 35681\n74026 77062\n33148 97660\n63570 74325\n14286 49301\n11334 22405\n898 86070\n43196 65709\n47411 69784\n39846 46493\n11078 56200\n56310 82844\n23695 69319\n56523 76703\n16759 60569\n65937 94397\n79426 93632\n47880 98108\n42509 47888\n30164 58957\n48901 60289\n47339 83033\n6608 36659\n12755 85224\n59959 93342\n59251 96790\n47095 73190\n41436 85267\n63017 73164\n19121 48128\n32926 55267\n1860 19829\n60277 78904\n7942 22625\n66132 97223\n65095 75226\n55967 58696\n43628 62043\n41049 55801\n65098 87685\n61272 94173\n30177 68954\n26545 94145\n49838 64781\n24021 75296\n16495 95643\n27005 89848\n20267 64908\n80072 82859\n3746 60779\n60001 70005\n26391 82810\n23194 87817\n22101 43246\n45940 71282\n79498 96112\n6531 44624\n13723 36017\n24767 42205\n66929 96363\n54564 81653\n63087 75498\n56550 59571\n30847 76043\n20266 98345\n968 58146\n6960 40482\n3959 36227\n6255 19461\n23208 67423\n72208 82332\n43043 72760\n81062 90398\n39267 73045\n50219 71856\n25420 61278\n13633 93998\n28564 38800\n9597 68683\n11560 18460\n19699 57150\n11881 28940\n24882 68418\n27067 52720\n59320 64472\n65187 75413\n11473 47819\n1434 81858\n25503 26952\n89096 92988\n26443 35649\n6561 8147\n5520 85018\n24449 84656\n19754 34045\n24027 70789\n7521 55036\n39351 49181\n8471 15184\n27592 61384\n3757 49715\n14858 94395\n41605 45178\n11597 32156\n19801 90886\n18702 22597\n30920 38190\n11487 15732\n86911 91377\n20279 53306\n16094 58974\n73177 91643\n55954 65000\n9487 92943\n1177 46832\n18844 56471\n22731 99154\n5973 89091\n87190 94166\n35574 61477\n43109 62078\n79220 87944\n37962 80970\n18781 50510\n43429 54753\n6378 21316\n885 95975\n4126 33144\n48148 98662\n29439 93420\n65804 85310\n25663 63111\n57675 81486\n11086 94431\n64767 81398\n50201 62921\n23544 42013\n45465 70331\n30726 80999\n5495 47379\n38251 95356\n30339 86783\n51800 75269\n30657 32949\n7189 66317\n668 98439\n26043 74763\n40991 55482\n59263 83690\n79829 92531\n70655 98681\n59821 95056\n23721 75026\n32695 67585\n7865 92919\n18970 76887\n4731 43558\n5244 90943\n49026 88757\n16821 42055\n27450 84235\n52713 79624\n1790 87027\n11792 47199\n58431 65299\n2510 61784\n16340 80336\n92152 92925\n373 26980\n10461 34997\n10498 70606\n17416 90267\n32017 56802\n83704 98398\n79427 87328\n44647 49557\n37634 49015\n36365 87294\n39043 93354\n51202 76881\n9129 68580\n72625 88414\n19272 44651\n21098 27992\n85786 99583\n20223 58856\n48186 85904\n69387 77422\n39829 86320\n16377 70097\n41311 97941\n8043 67006\n8496 71707\n81028 95073\n20260 64173\n65513 71380\n27175 77493\n18888 52188\n53391 59446\n35761 78203\n51396 70796\n43903 83203\n15888 53857\n22597 41771\n89607 99320\n24374 58084\n27782 44447\n5798 87515\n50128 97000\n46369 71664\n58266 89542\n1073 67839\n6060 16376\n8757 27813\n35288 71665\n81945 83604\n59951 99955\n56826 81516\n9320 64577\n11741 40091\n51087 66271\n35232 90305\n49595 83113\n15565 59543\n23279 83880\n21442 90087\n17670 79586\n4621 67534\n1022 19338\n5085 79039\n30252 43303\n77051 83724\n7781 89259\n22548 70167\n22578 24132\n5083 78057\n47410 85192\n13428 19833\n13755 74693\n32807 47120\n8185 82133\n31230 42755\n18899 69124\n75205 82320\n4425 80720\n12708 95918\n70567 84290\n47428 65538\n57092 69459\n2210 82074\n1629 40038\n34930 68526\n34673 77888\n12262 47898\n75225 80670\n46700 50224\n22818 84802\n44095 81472\n13536 86104\n35387 37305\n6384 55384\n6886 34971\n30227 76840\n53703 64769\n6247 37343\n12456 75079\n46188 47394\n36222 80773\n9534 18499\n14686 52935\n39570 78584\n19771 63080\n29169 40507\n82297 82831\n48542 67433\n4773 61384\n19787 20069\n29581 41010\n94976 97680\n21089 89588\n2432 73591\n42171 84086\n61032 76598\n28119 70242\n41320 97770\n55794 60410\n433 96793\n31467 49577\n44664 98273\n10576 53393\n27266 61722\n4865 65429\n89766 96130\n38848 88418\n67235 80722\n17448 26471\n3803 6186\n6823 80453\n30786 96179\n16954 75377\n10228 56908\n14275 87535\n3033 58052\n33366 40215\n78928 82108\n32552 43562\n2536 16572\n31145 45114\n29161 89979\n40418 52300\n73941 92835\n1841 38990\n24264 92074\n1920 80111\n42860 77095\n63952 64247\n11409 71094\n74591 81427\n30353 58107\n60713 92058\n66305 88057\n96874 97416\n3920 35655\n8463 96917\n14942 81650\n44833 93267\n71190 92266\n4599 76118\n25755 29664\n5636 48482\n51938 72770\n45664 93812\n16416 53235\n73967 85654\n19108 61568\n9474 66662\n22043 30936\n42616 75223\n44704 53670\n11477 97562\n6197 98847\n15692 98712\n7439 72880\n41414 55298\n71134 94032\n2502 2870\n3383 69100\n13327 63734\n21492 24177\n31588 73046\n53897 87343\n27175 71019\n4066 9291\n50052 98411\n1829 90526\n3833 94593\n22934 31895\n21464 70043\n3338 33698\n26636 39596\n17580 24485\n1854 70875\n6939 86475\n37552 46591\n37440 56995\n17272 97752\n4133 93238\n73098 82764\n33164 81132\n1843 65721\n50224 79756\n16641 57922\n79242 83934\n18986 27936\n45105 48622\n6509 45496\n72341 87861\n37685 96073\n48581 50769\n29878 84504\n38945 85889\n3300 20148\n44171 96816\n49287 49646\n47460 67174\n93411 99750\n27843 71681\n65267 75651\n30080 39667\n44505 75166\n47045 66299\n44483 70096\n71656 82170\n7256 99382\n40879 75419\n68152 75702\n49205 80713\n7565 99541\n61452 99258\n40577 89850\n3295 23346\n37099 85267\n26481 41780\n9892 60005\n6769 55487\n51783 83717\n24700 35234\n46490 98010\n51060 67270\n45293 52013\n70717 85441\n41807 58841\n49992 70625\n51995 96010\n15171 76822\n72100 82571\n3715 53311\n3803 22036\n19717 91501\n36065 43867\n58737 88746\n2031 72344\n65065 66170\n14724 81888\n10512 99468\n10447 17811\n67848 70238\n40877 52153\n79183 96996\n22206 24132\n40683 85747\n21987 56759\n74533 93300\n9902 47833\n8149 55598\n4837 60736\n53773 61357\n42977 87636\n32538 80489\n24146 25270\n62104 98889\n38988 41757\n67953 95522\n47637 55390\n35064 74958\n42523 86716\n24137 32718\n7320 25902\n10336 77741\n31984 43314\n43949 63989\n9212 44778\n24473 67957\n25503 81581\n69323 76647\n49159 86541\n63993 71503\n8322 71594\n39755 62535\n65678 76242\n27301 28922\n26786 33605\n52154 84644\n31802 91284\n64521 88273\n69500 76011\n35362 51308\n28110 53152\n30957 69371\n12853 91564\n19501 58152\n32916 70793\n1847 10720\n23662 50265\n27187 93124\n24652 96075\n5210 96597\n9466 46287\n72912 79287\n12711 45233\n54071 64835\n11733 42595\n6481 27049\n20356 79361\n90849 95462\n22900 46457\n27353 42958\n660 16819\n4039 6568\n81022 83264\n24098 55914\n16014 65841\n27406 59459\n86667 94402\n40226 83818\n19272 92713\n11732 32934\n67922 75609\n38611 51195\n31511 87522\n37403 69927\n21487 93244\n17206 80206\n25022 36037\n48178 64346\n84777 94135\n68159 72326\n8301 66376\n4801 76707\n45449 82273\n44647 45351\n5334 81323\n42411 69732\n75800 90313\n38202 94389\n49479 66007\n16306 92832\n29115 96381\n48783 68240\n80033 83349\n27216 72172\n32500 88745\n5162 73703\n45232 55863\n19666 96292\n9026 82267\n25241 78376\n1479 31566\n19806 68153\n4559 28823\n74577 91357\n4229 81903\n47389 70526\n12096 63505\n25063 36177\n21704 97579\n55939 97376\n51902 96252\n27746 38115\n24924 97425\n54239 73192\n84534 96840\n68214 71460\n8472 37388\n43013 58651\n16656 93140\n89918 90104\n28912 55128\n17444 27136\n44176 56509\n17608 80393\n25568 40323\n71793 82166\n12425 94356\n63729 81166\n7622 91075\n3346 30141\n20572 95130\n40234 81903\n41523 60389\n31403 66704\n84697 87051\n6551 53774\n6306 12509\n23854 82182\n3448 75820\n11603 47763\n37458 52841\n7315 19575\n29081 67198\n20165 75722\n874 49265\n6291 9904\n9507 30411\n48453 67780\n24873 38113\n37382 75023\n1650 23939\n61218 87695\n19140 54748\n35024 68034\n3218 95433\n5345 54581\n73240 78261\n1777 82230\n64659 84372\n53753 53861\n49039 80698\n15753 46511\n4254 92967\n24634 30223\n44102 88013\n45481 52129\n27548 60710\n46261 85252\n11427 95677\n35068 57255\n43455 71646\n2227 43050\n49272 55632\n47627 71141\n35276 77692\n11510 35728\n70499 89569\n24229 81159\n10503 77790\n2932 33066\n68128 73668\n93693 95094\n59702 65195\n68290 81651\n19435 71909\n12315 93077\n4175 46197\n33699 72697\n5489 55621\n41492 47569\n9992 51133\n26512 35702\n33898 63453\n6240 51445\n924 94463\n13468 98353\n21875 67886\n70492 73650\n52429 72620\n38986 97267\n25058 84754\n19241 94642\n8499 19359\n73184 78080\n20763 40414\n91427 97088\n54624 84625\n77648 96649\n8738 94280\n70809 94128\n51966 67202\n896 41170\n38773 88888\n42698 56879\n37797 69953\n83434 91754\n24575 76284\n61382 86357\n33962 96094\n70204 99708\n74554 93771\n38652 82824\n2295 33814\n12294 62022\n66825 77219\n3626 61303\n20009 29684\n60820 93044\n4701 66668\n36606 87022\n46296 59892\n37903 92347\n54106 61808\n14130 21283\n415 89941\n93670 94993\n66699 89275\n61789 98801\n66439 83319\n17975 51275\n15699 94416\n36138 86506\n85359 98559\n32545 61937\n30698 42373\n15184 80571\n4325 24965\n11681 94067\n65408 78605\n29335 60327\n22548 50462\n32920 43677\n39290 73668\n717 42800\n45536 84165\n42873 92757\n81199 94627\n43785 70556\n36267 55117\n49378 71903\n28499 37284\n9091 39777\n9209 96510\n78411 95268\n6765 34178\n12178 27387\n19265 79429\n34973 49988\n51332 78099\n5641 25067\n28023 35571\n3697 61494\n1694 99047\n31703 83715\n47458 95181\n13453 48937\n58052 98895\n29612 30877\n47638 57188\n23801 43753\n40509 74458\n24102 60692\n43991 68278\n25552 64822\n57492 72025\n1201 62449\n1235 96638\n76838 82586\n89039 95800\n64531 85260\n54781 70256\n45292 65444\n10881 89619\n15171 31123\n59092 70845\n39347 92624\n5522 31421\n2044 26052\n14764 41857\n75496 82333\n826 57254\n3243 82367\n71960 94175\n43531 66575\n39687 44338\n54888 99214\n5691 92773\n71951 82899\n61454 84444\n78947 80928\n69119 93311\n26561 84378\n70249 93013\n24702 58894\n47055 83935\n23479 24922\n31987 68597\n27582 54098\n23304 56784\n13867 48161\n22231 46868\n8379 87562\n33389 77394\n47805 93074\n19553 58210\n16765 96929\n33680 98148\n38544 78037\n3029 66183\n19751 92977\n32251 74250\n43406 72668\n20060 43998\n34711 81225\n10007 41906\n20958 47298\n62425 81555\n14130 20741\n49295 69887\n27366 97065\n80361 90842\n35028 45311\n65297 75242\n41369 89782\n29882 43571\n3900 21869\n8110 54802\n47946 73120\n39902 68357\n7724 65252\n40193 94454\n28357 86227\n20294 41868\n3562 36545\n20659 92294\n47266 92938\n43435 51198\n16576 32228\n46516 78747\n30082 86709\n54359 89077\n22134 84040\n80945 82640\n2811 57048\n77688 90900\n66106 90527\n21682 63919\n28575 48365\n7956 12358\n10391 54470\n5408 39361\n34749 38143\n24587 70720\n13065 14439\n3007 82665\n50087 52096\n25888 72283\n8502 99101\n7687 65914\n12613 51326\n13318 59200\n64887 64922\n24343 80815\n9797 85491\n31803 33940\n18376 97581\n27189 61350\n15755 36133\n8476 26711\n40802 85980\n35633 43845\n34253 88884\n18867 69672\n62833 96777\n40412 77966\n10868 93540\n18231 18481\n75628 95903\n59457 72117\n46599 72825\n11131 51431\n8056 98689\n4875 40694\n41851 52490\n53735 70062\n21058 38908\n11478 95871\n8029 91662\n35857 80737\n54737 62352\n70040 82731\n48705 94659\n64412 69167\n7272 70342\n86902 93153\n59119 62194\n8069 27077\n14987 64091\n60156 60305\n9377 64800\n31192 81270\n56939 98463\n55863 56944\n33365 91488\n5543 89184\n15161 73524\n49094 51417\n11791 97485\n63489 94906\n25833 88920\n1997 16787\n14144 91197\n25902 86111\n22416 74278\n8075 92222\n3299 14432\n40160 73636\n29620 43429\n14763 31878\n7573 70276\n55175 85826\n8676 61796\n28954 34965\n32431 46716\n47479 75944\n43612 86597\n26488 84470\n75981 95188\n75898 96499\n10377 29874\n16267 67223\n650 27971\n37087 58474\n1174 7325\n73692 94163\n18126 66569\n62834 63979\n11462 37194\n18756 68463\n39180 51228\n9618 56718\n6885 45830\n12719 94797\n18699 36562\n36812 42340\n9308 34414\n27649 78025\n45872 56246\n13097 49119\n17060 32188\n1874 96862\n42264 54780\n9443 99534\n11238 57809\n55521 86459\n14239 43729\n39749 56678\n2730 56273\n39061 45870\n83428 89334\n18919 63842\n25544 95851\n36958 63172\n32211 87977\n22108 33463\n13846 62860\n22425 70268\n48256 92734\n47320 68564\n17167 89948\n49476 80218\n4885 77490\n15951 80574\n4848 99098\n16351 93827\n8205 93812\n39162 44047\n57319 62303\n49497 73585\n22496 66336\n64124 98216\n38779 52636\n33068 83255\n46959 83592\n5246 38849\n52826 54078\n46830 62058\n915 4814\n46269 61678\n38726 83463\n23772 31159\n42026 54939\n28247 63054\n4312 50479\n30406 81487\n3825 35577\n3808 30004\n15576 67345\n29864 40128\n573 69198\n12730 56550\n21582 40658\n53620 84762\n41720 49462\n55852 80195\n49393 88613\n40530 91083\n12067 58381\n88270 89741\n17508 93170\n14358 16682\n6908 15560\n67233 85716\n83754 94135\n49456 98746\n27539 90546\n83113 98801\n99356 99419\n14800 67446\n55857 85800\n2339 14901\n26925 65683\n29489 34653\n15488 44378\n64927 98688\n29673 42792\n16250 50116\n37060 60743\n30124 31178\n61599 77298\n11868 33489\n3029 22121\n26926 54177\n22275 31301\n46752 96320\n19336 51043\n85315 97444\n62614 98700\n66898 96920\n24312 85702\n14845 72243\n637 61000\n25577 58719\n30244 66409\n69348 79100\n63608 98495\n35822 72479\n34149 80881\n5324 42462\n80701 85371\n2008 17491\n54112 95280\n39969 72731\n57156 92021\n15618 72731\n61663 91409\n11197 60567\n17314 48791\n4424 56118\n68679 93975\n23890 61017\n16614 65044\n17328 52979\n12260 95869\n61064 92135\n51167 66410\n36098 95085\n32760 82340\n4276 25551\n20369 94773\n17344 67666\n48144 97396\n65817 99358\n70502 88460\n14398 49557\n6471 95556\n67626 82908\n57557 61713\n45733 61435\n61978 84055\n5378 67832\n62988 70672\n85153 94706\n54534 82244\n68038 71382\n38839 70330\n49432 61049\n41970 89466\n62498 95165\n10829 74447\n64467 75549\n22484 85754\n37641 70602\n38065 94999\n38057 40945\n53927 80156\n15600 18370\n20445 86711\n44200 81585\n65797 70430\n55282 97878\n7105 33816\n48068 99577\n56450 91260\n35178 74176\n62777 93189\n7250 69099\n30398 84331\n45594 98030\n40054 88207\n36489 80498\n27466 73442\n79822 93729\n52235 85877\n15664 75528\n41789 83213\n15893 24866\n29885 53842\n3883 28189\n4836 41726\n4914 72286\n38697 39413\n63028 95857\n16660 37911\n44061 93376\n8263 80748\n37164 59056\n9472 25947\n12592 20650\n36346 85700\n13623 38292\n4836 74213\n13847 18293\n8853 32050\n3161 11229\n29718 91886\n54226 72984\n11298 25402\n6150 22115\n4960 33622\n15953 86309\n73771 83138\n12679 85378\n18949 44402\n22392 36755\n74460 85158\n23203 34561\n50210 82863\n13559 46771\n62815 64918\n11811 39601\n35871 68181\n38363 73705\n29676 74595\n26691 52807\n61326 76537\n1477 87561\n19224 55096\n64733 92985\n32922 99241\n11229 78081\n31675 42819\n1966 43456\n64224 95958\n60559 83341\n17520 66371\n16059 99604\n12321 70415\n62677 89539\n34255 59490\n12040 53922\n275 78439\n9925 22031\n61518 64215\n6912 92756\n17429 73144\n37267 54447\n2986 67280\n4331 26556\n47 94942\n3096 81262\n17694 35522\n24089 54227\n53725 63648\n34143 91080\n1580 12487\n27447 54043\n29594 46104\n47006 58687\n51326 71809\n1783 79173\n48265 79098\n75188 85726\n46495 55503\n63764 98278\n6054 67929\n84442 87175\n82326 91966\n30419 85750\n16781 27134\n11566 96907\n662 99187\n8513 31731\n15475 37570\n81172 88349\n53401 70492\n27614 29137\n30785 36834\n42369 99768\n47676 63646\n30680 76256\n61596 84149\n63365 95487\n36955 76157\n31246 36613\n79235 97671\n48862 84031\n14411 46752\n34536 46297\n45413 89208\n48466 68708\n44301 53757\n80046 93378\n33867 40599\n4278 79012\n24359 28770\n19524 65430\n71356 80012\n46762 69524\n63765 96244\n37242 86380\n8666 34388\n33410 59323\n78134 78572\n71148 83855\n26234 95909\n42231 79732\n5875 60497\n66164 91851\n40211 60959\n28975 95716\n18094 93511\n72910 83353\n25506 72170\n66225 92059\n62695 96563\n29886 73558\n60589 97468\n14800 42367\n62052 66665\n5344 80910\n13745 17634\n34833 54633\n22312 90368\n19420 29016\n6203 78842\n32760 88055\n26690 64234\n32757 94623\n8983 85487\n80375 92284\n28771 52080\n4317 66136\n29644 87065\n61442 94334\n44658 54214\n33652 65953\n4969 48331\n15503 28614\n11866 72004\n66560 71982\n2914 13355\n5831 7085\n36625 98107\n50211 98249\n27071 57203\n48598 95363\n83844 93294\n18586 26644\n19523 88595\n70537 89422\n17834 59133\n53574 81736\n58774 89730\n12355 17434\n31771 59980\n48225 73129\n40678 92578\n71597 97191\n36046 65279\n7802 38454\n50748 55361\n53790 91639\n39928 68174\n6217 75064\n84790 87463\n23334 81795\n61767 83889\n7084 54333\n20820 43921\n22942 26957\n38218 90590\n6198 89079\n34274 55842\n22284 60774\n14462 21461\n5757 14696\n70282 70430\n43884 57323\n27398 34653\n35698 44380\n6651 29545\n14081 88294\n5627 48715\n92697 95306\n21861 29013\n24094 30233\n68704 76705\n26066 60601\n13967 65148\n86452 91257\n38077 95122\n41103 79270\n21726 30783\n36140 54935\n30578 98846\n4024 92242\n8219 82552\n46146 92257\n75511 82359\n19005 31660\n34201 64527\n33654 65227\n49677 59152\n56834 71582\n30126 95603\n59074 86041\n64690 90972\n28152 45279\n69649 78993\n51996 57230\n12514 91361\n67046 96056\n62268 87397\n38973 82647\n16311 17659\n19225 76650\n41701 76193\n18197 21090\n11881 66673\n3852 22495\n58651 99860\n24778 45658\n33863 45364\n88337 95246\n73025 77778\n62522 95137\n64718 98228\n22761 68445\n53692 92801\n39337 48553\n61358 74329\n9640 34132\n65258 93184\n16271 92268\n637 38192\n3973 47439\n60573 86682\n44313 50850\n2795 76495\n5119 42765\n52761 83213\n32309 32510\n77095 99565\n54312 92794\n41312 68408\n43697 76938\n16936 27400\n7906 18784\n38576 57229\n61634 74968\n34532 69515\n76544 77780\n14574 24240\n47150 67408\n32828 73834\n27161 76648\n1311 89253\n80332 85160\n76717 81930\n16701 56343\n55060 94556\n34462 51828\n29140 52102\n40274 47502\n28807 46985\n27795 68519\n11958 36564\n14153 98875\n75424 87447\n26291 37541\n77301 78549\n45679 72984\n45924 92030\n32419 77539\n57825 83225\n42809 87755\n80838 96300\n6998 49438\n6274 96094\n3786 93968\n50169 51638\n29322 40858\n46484 59330\n31375 57761\n39620 47687\n35684 60371\n57266 69685\n11959 90611\n77514 79991\n34675 82209\n9740 40859\n32532 53873\n9743 73164\n49872 89126\n9550 68565\n42150 92537\n16285 56031\n7851 60731\n60929 71425\n35754 96608\n23487 99604\n22401 97256\n29666 59711\n36317 66493\n41522 79335\n25389 45525\n7619 10753\n37589 62796\n81566 88548\n6401 74356\n81676 90225\n7454 18708\n36003 36360\n38230 52230\n37298 86395\n1610 73963\n20781 91047\n56000 62829\n13454 68204\n8843 93930\n31721 93802\n72813 91777\n45284 94414\n35777 65417\n59686 91978\n4137 13174\n79603 79635\n90908 91858\n36358 91345\n24128 60056\n95890 97243\n5260 66905\n10903 60285\n36503 91621\n48621 50145\n70973 86596\n33274 77952\n50403 61362\n13593 89021\n17497 58346\n20372 44429\n22524 61311\n50046 68908\n12272 82955\n67887 74271\n1032 94177\n35323 86647\n87846 91035\n35344 52828\n34178 70676\n58452 68215\n1980 94067\n30503 68992\n5352 51405\n16153 61364\n21826 64409\n36842 64416\n5134 69557\n6014 65658\n61186 79295\n1788 90667\n47749 92820\n47839 71468\n75153 77042\n25630 30839\n6214 51932\n7160 29670\n31705 79700\n45286 86618\n24495 53366\n56481 59320\n5848 58125\n28243 92133\n51636 79120\n6554 17676\n9959 57311\n46102 80588\n29558 56557\n22531 98313\n15639 67857\n54784 69385\n9485 15761\n55242 57004\n67973 74633\n11580 28811\n6572 22577\n4345 14300\n21315 79373\n59122 73601\n11014 13275\n6931 54100\n38048 57946\n3187 36988\n64337 93486\n67131 69846\n46459 57425\n26027 76807\n716 11002\n62108 77479\n25178 89841\n8904 89653\n86848 93897\n44601 77027\n74163 74225\n1518 36033\n4136 8951\n60283 76384\n39642 55489\n51799 54367\n42525 55202\n5860 46431\n22375 84281\n9956 80862\n12343 88212\n42650 67431\n30010 38194\n33183 34074\n28669 68004\n2059 13932\n12201 94766\n25266 44745\n28462 84186\n25997 54728\n54591 87887\n6170 24126\n77739 99632\n14777 29387\n69468 77144\n17994 60244\n32102 58940\n14131 78733\n73223 76457\n25710 67802\n36329 86520\n20152 55137\n18569 29641\n2932 64627\n26013 99508\n30023 92144\n8233 69201\n77078 78457\n10879 27084\n57429 83251\n51541 74740\n7159 13358\n5815 48153\n52232 92994\n29239 57253\n24013 92615\n44222 56180\n17471 95095\n17049 38140\n43716 71279\n18885 57182\n33974 84171\n17415 68288\n46826 90417\n9465 19693\n65494 71075\n36449 73989\n34018 59279\n69820 76089\n97182 99916\n27479 59389\n28652 37147\n5203 69756\n31142 99504\n39082 93841\n60527 79030\n48668 86399\n7289 14529\n74302 84406\n67072 77073\n2340 68159\n38663 43067\n34470 76277\n15339 67851\n26668 53029\n28052 93985\n74452 77226\n9796 79138\n32758 57917\n35907 93938\n69873 72484\n61096 72764\n34726 56190\n17684 64571\n50704 74648\n50513 78729\n66809 74204\n15804 92059\n4030 38461\n57946 59235\n13915 47654\n66216 96804\n94105 99479\n73369 76778\n1131 83079\n17404 45789\n62340 67143\n74860 81483\n64826 82656\n66996 83274\n22674 43168\n47457 95386\n10656 10825\n4655 34265\n35764 54738\n19115 64813\n47501 87662\n2847 76499\n4947 61428\n68096 88833\n6667 70981\n29378 54752\n42483 86362\n11421 42566\n58765 90226\n2655 20383\n62694 89033\n37225 84692\n45875 76363\n36186 71562\n64340 84509\n276 6986\n33607 71927\n37194 55544\n12408 45430\n71456 96079\n41204 46321\n54739 89039\n69808 85638\n4095 68803\n67001 94867\n17331 33261\n55784 60505\n81780 94679\n22134 58264\n38443 53626\n28860 52401\n53450 99527\n10380 43838\n60376 90719\n69435 99845\n13902 85346\n8555 47232\n20138 39551\n39167 69925\n65043 67644\n63616 64525\n34461 80975\n24915 87606\n17659 29898\n57434 74036\n59111 76744\n40496 93497\n40019 83965\n18686 88183\n42463 90073\n26304 50916\n87412 90791\n55307 66856\n44201 95423\n37569 54322\n50637 74522\n66447 90632\n17174 17782\n15501 74195\n13999 20881\n21252 96810\n28968 38296\n73220 85224\n30891 37033\n95246 97553\n24604 77011\n28077 47671\n13158 81890\n2055 45409\n64874 73950\n62768 81816\n76740 79425\n10009 39227\n50520 97616\n85280 97992\n19472 30233\n5369 9037\n2325 99791\n2887 55264\n80940 90377\n56961 64010\n31758 93325\n15925 92719\n30909 79267\n46762 53270\n16170 58123\n29513 92606\n9960 73753\n68196 95927\n13875 86204\n20367 97317\n36782 41777\n23315 31409\n48362 67116\n17147 57547\n10072 66759\n68727 79336\n17497 33937\n38463 41255\n10415 71834\n25542 52619\n66649 91233\n42112 62026\n16805 19008\n68982 83094\n18550 97083\n14932 51281\n33029 69576\n26686 66994\n7317 84802\n39659 83870\n7582 11735\n15683 96708\n41838 81843\n14940 19033\n81066 95665\n23600 64153\n6487 79368\n1332 5646\n19403 66079\n31481 33396\n12761 18264\n30555 42777\n798 81865\n12297 99972\n8058 42302\n49318 68220\n30469 43917\n39001 42044\n35280 50519\n11904 13776\n60259 81854\n64652 80336\n20616 28512\n4417 66414\n408 31937\n36761 58274\n47898 80287\n71142 87828\n22098 45050\n4919 63776\n27108 95246\n9566 41558\n8035 86377\n15228 26126\n32132 55125\n74312 78145\n59418 79426\n41562 50850\n10235 62939\n88492 98637\n87001 97416\n10338 18529\n70607 72429\n7178 11230\n26782 60412\n13679 54149\n8670 99837\n50115 63686\n17412 63344\n8604 67008\n5757 44905\n36188 99797\n2740 28184\n46525 86856\n11448 96179\n41045 64778\n88910 98837\n19011 51976\n59149 97424\n11231 25734\n49404 71764\n25505 81238\n68710 96428\n21208 35994\n21590 74099\n44454 97951\n13713 51640\n56286 97093\n23774 30150\n38404 96232\n23328 78593\n10460 74196\n35100 43217\n560 93993\n11537 65519\n71243 85805\n15940 17292\n1764 22024\n39328 94789\n2444 26090\n72685 73656\n56168 91394\n26874 51276\n83301 94908\n52443 85111\n32818 60719\n15638 80109\n14925 70338\n11323 59744\n67115 81509\n952 21767\n35643 62026\n79122 96920\n25742 91072\n44022 88445\n24303 58959\n48538 85830\n40959 55532\n66012 70489\n23788 60620\n7699 26781\n63758 79415\n48175 94832\n33917 72284\n68340 84378\n10223 86566\n14313 97692\n23985 48244\n24224 49308\n80399 91059\n36723 85455\n56107 61721\n42697 42803\n12134 82407\n22740 70858\n33411 34646\n53953 93868\n62763 83605\n24866 66739\n1359 70524\n19877 58834\n24947 79302\n28087 81653\n14040 21188\n80240 83738\n38765 88397\n12077 83390\n33116 41498\n18501 59822\n59833 76255\n3345 56288\n38710 50372\n28977 57746\n45879 46982\n25499 99921\n49808 61450\n4637 25651\n91420 97694\n3521 9854\n19619 49028\n31783 52111\n40381 56724\n1244 16514\n13200 20826\n3740 57138\n36381 86218\n55528 71866\n29220 34389\n27846 71061\n63991 67176\n20600 85271\n49513 91461\n11703 80473\n21331 75515\n50578 80624\n24881 95129\n5153 5971\n48819 69169\n60861 74490\n34447 51705\n18708 35937\n34974 98884\n42633 99746\n608 6457\n62056 84095\n50470 60410\n84823 90656\n10262 29508\n3641 37304\n75309 76653\n23404 85815\n49885 51927\n5096 51894\n7256 11234\n9934 64470\n54611 76753\n62170 89442\n21357 60239\n26125 96022\n70427 75704\n67385 78090\n12631 85565\n14689 39456\n13212 65395\n47443 53622\n56129 90430\n30150 56316\n9268 21722\n18580 31915\n72353 81873\n87594 93389\n8043 15647\n46044 58765\n5231 10690\n15379 80008\n54928 98593\n3132 5312\n47908 75665\n34927 75818\n16036 70424\n30668 65744\n69428 92580\n39680 55109\n51292 67675\n11758 93798\n76973 80741\n24745 33820\n78014 80165\n6687 40863\n48939 96236\n36184 86213\n9933 59920\n12686 99848\n64172 90903\n52661 70147\n5792 69981\n34060 67687\n32546 59395\n4491 32465\n8490 40694\n22866 38528\n43681 90823\n40214 52983\n68027 77683\n65651 82314\n2856 82256\n40758 41849\n32673 73656\n14264 50476\n82602 97615\n50966 84303\n23604 41465\n30855 67411\n44468 56454\n93870 99820\n10894 54018\n6599 40940\n53847 73708\n51358 52751\n31119 47096\n9841 60094\n11075 77037\n47158 65321\n28642 41059\n69774 74807\n20838 76997\n4833 4941\n521 64267\n37224 95064\n24094 74270\n13653 14774\n17204 86129\n44071 74910\n17134 68765\n2063 76061\n24749 68250\n51506 84217\n18349 89969\n28998 48847\n39213 53240\n1110 62403\n28059 55721\n21952 45284\n39892 85362\n1434 65030\n14067 20267\n4442 20120\n13043 75551\n14918 29622\n87087 98600\n18709 50192\n69549 96593\n43395 97336\n37269 37294\n38935 47927\n58380 71611\n57554 92629\n40706 77730\n10441 54886\n44567 67849\n12363 38739\n5665 90290\n19944 79610\n80406 85248\n29863 99146\n53853 93661\n81433 84296\n32814 61769\n22881 25406\n68976 94803\n685 83961\n43221 88277\n82732 94624\n15387 81993\n13068 69645\n39168 55891\n51552 91540\n15960 36148\n58858 60243\n513 34999\n5607 96756\n21303 88777\n47991 67154\n18159 31024\n28443 64986\n36214 97840\n16980 41582\n86383 90612\n18376 35018\n42175 56197\n51542 56561\n21534 76259\n15698 19570\n25456 54961\n56871 76402\n13943 34398\n16181 27709\n3688 58137\n714 9606\n15921 51361\n51752 85702\n64312 72111\n26644 51950\n80404 86615\n10100 89568\n42925 62167\n25497 62677\n43239 79399\n3877 20673\n95 18700\n32568 59327\n2104 10645\n39664 64601\n17304 40740\n41581 93163\n23794 68946\n36925 76718\n24699 66759\n66439 91863\n27303 94367\n79541 95116\n22476 56937\n34382 35630\n7651 65842\n71230 74295\n8218 39531\n22444 79910\n41989 49973\n2147 46419\n54965 70441\n49989 78234\n22247 68224\n7798 28311\n29446 64802\n32841 49446\n63935 66624\n77509 97899\n7751 33598\n50048 84338\n6686 80154\n17993 56871\n22742 92497\n6741 63430\n12559 31094\n51974 64552\n20589 45920\n35489 52006\n44171 85940\n55677 73094\n58512 60783\n54766 56553\n10685 67740\n49080 63993\n18866 21115\n16334 60379\n63330 68872\n67210 87219\n16889 30345\n2930 2957\n39127 68403\n28903 38124\n24363 29789\n16403 22674\n29115 60696\n31574 56508\n43642 92883\n28869 45048\n39093 84305\n44974 58355\n36319 42895\n77348 94529\n6046 32246\n31259 53527\n20063 43659\n17016 85569\n57236 70667\n43187 70061\n17740 84761\n48936 76398\n12830 76344\n12808 32673\n30574 76734\n14689 40826\n24183 66364\n26815 68681\n36423 96795\n49647 98524\n80416 99328\n63422 88215\n6844 82498\n39936 74886\n68522 72656\n27046 98939\n52203 93607\n89911 95131\n8191 62575\n13029 16852\n48354 67276\n19127 28447\n20297 23013\n69889 75365\n20253 79191\n4316 63595\n40961 81136\n39802 42544\n23479 93534\n3034 51494\n35509 47569\n9481 77997\n78333 95211\n27147 35191\n32938 83440\n39930 94756\n2006 51820\n29904 74366\n67342 85758\n42857 81486\n28987 95512\n57028 75329\n75153 84930\n77902 93723\n23987 34386\n3469 15961\n11034 63668\n51029 59275\n4 73143\n50416 87667\n26294 95040\n6615 26870\n18658 87904\n49209 84780\n35839 70365\n44237 57547\n11007 54950\n36980 52539\n19878 82553\n878 16136\n2345 11071\n21298 37984\n4896 66297\n18331 39364\n46280 77321\n18318 28901\n2841 86721\n13917 71587\n44253 56683\n47369 95803\n24131 71847\n12288 29485\n72992 79189\n9296 53222\n20836 56965\n34540 61746\n48959 91368\n6187 80737\n20666 42693\n12101 89240\n56665 61762\n45056 46205\n7109 76344\n18788 81396\n727 35463\n1402 71473\n11393 76748\n40983 64560\n38795 79514\n26961 99490\n40395 64746\n1313 88385\n19152 95524\n7206 20969\n60115 95736\n65239 96399\n59868 61290\n33921 60605\n86390 94670\n62098 70923\n3422 64419\n16150 60943\n45506 99616\n75439 76380\n80728 86587\n94786 94953\n16170 79866\n65251 95227\n24058 48642\n86978 89538\n24642 86718\n17680 20749\n22221 85708\n23208 99136\n7738 62475\n50299 94498\n2042 44855\n1563 1883\n42156 47095\n23854 24575\n58150 79684\n25411 75114\n805 38791\n55302 76217\n16218 45214\n4441 24373\n1802 38888\n1070 77890\n2293 91229\n8979 31099\n42688 70054\n19787 82144\n68091 96990\n50596 74391\n32368 82323\n66073 70122\n46800 89483\n56163 66341\n82795 84513\n35138 39673\n26666 88163\n7222 66597\n54289 87426\n42571 54707\n8844 32488\n4358 66380\n16853 62376\n28668 68822\n34585 74336\n61357 87471\n49270 95709\n8242 15728\n37149 52479\n2025 28600\n41552 82379\n27946 47824\n46243 93227\n5671 30717\n32973 87750\n52843 89169\n67866 86978\n2296 52255\n21242 66535\n20884 41400\n82844 87268\n32764 57508\n23590 79688\n76544 85073\n3640 50943\n10504 48499\n16611 42062\n68724 91285\n81553 88850\n8887 12626\n6234 70114\n48783 59060\n26607 98406\n23100 48339\n81627 94282\n59586 77018\n5189 13256\n11416 42931\n60590 86013\n2189 22865\n12225 69467\n63611 81202\n38762 52361\n5083 36656\n75737 94211\n80781 83908\n54942 77985\n43542 66445\n22771 51854\n73198 96708\n8008 64933\n8193 35050\n5358 60227\n74649 98744\n4107 9857\n25882 47256\n3547 42488\n51643 66844\n11471 50998\n3966 25597\n54710 98452\n24596 47250\n16469 63473\n16497 58878\n9191 27890\n3926 66906\n83132 97513\n2365 9202\n28408 85974\n2933 66524\n80215 83456\n4328 25141\n60319 67961\n13778 35685\n8127 25064\n49725 69145\n3666 41684\n20898 33551\n1491 45648\n17104 51219\n1783 85048\n12348 31096\n39242 72422\n45090 85233\n42968 67759\n59456 90994\n63491 69181\n61596 99908\n56074 95675\n14907 65647\n13842 92504\n13337 89442\n7034 14622\n71884 81554\n69595 99871\n5062 99695\n53429 61766\n33113 48510\n45931 61957\n5780 49723\n7028 51491\n36539 57734\n38049 93918\n23996 73543\n77899 91757\n5293 53792\n29773 47306\n29609 85518\n48185 98929\n22870 70735\n74049 75219\n53276 57100\n29712 57893\n8993 27658\n8173 31715\n59631 75883\n7359 40339\n17825 85081\n51450 87620\n16193 89359\n19375 48350\n42692 45396\n25079 68363\n42851 87431\n60064 66448\n7455 70962\n16309 48098\n55487 72599\n26335 66868\n25258 77026\n36136 93247\n34149 58208\n54195 57439\n41888 68630\n21687 86282\n2035 43740\n47177 61758\n51553 90626\n59578 93061\n2075 29827\n48813 95450\n49860 63743\n65556 72545\n32407 88128\n29421 67042\n17279 42207\n17479 23258\n24525 88040\n5954 85486\n49168 85759\n68935 75978\n36576 70907\n17489 70744\n37512 41495\n33743 39807\n17462 44021\n9265 41919\n74633 92724\n24451 58456\n31318 97927\n28525 75827\n9815 40966\n52341 55684\n6538 36884\n14824 22806\n26886 37830\n24401 31793\n51993 93814\n9455 79353\n29479 92230\n95016 98471\n26773 35590\n86661 97212\n12424 87944\n55304 76931\n67796 85364\n58227 88233\n84187 92068\n39729 82846\n73349 89800\n14603 99819\n37111 97137\n10331 11683\n35287 56375\n39507 54291\n92258 93273\n69019 77945\n14318 69778\n23450 65666\n2483 40062\n41491 92955\n60242 86322\n33248 81558\n8382 78180\n29946 32920\n10463 95317\n9975 75399\n42007 46451\n20736 42077\n62021 70574\n4676 95491\n22244 91797\n1491 73362\n44440 60508\n1122 50489\n22609 38580\n65745 84141\n10997 68557\n9250 97613\n76496 81421\n23265 97033\n5120 64913\n6501 53645\n30759 99614\n26189 69009\n18300 27808\n16900 31690\n58332 77713\n53475 69730\n84256 99072\n53683 63264\n84660 97734\n20640 55581\n77777 98379\n528 78927\n1858 74729\n30189 91901\n54299 89096\n41632 44400\n30411 85578\n7661 91923\n3641 39187\n1074 68821\n61674 73985\n28061 77479\n40523 94466\n8713 15807\n15968 83845\n57316 66936\n57741 97963\n77132 95271\n6600 67941\n27341 34899\n65522 68872\n34619 91754\n51296 96380\n31169 45411\n6679 97427\n4652 13639\n25934 43825\n11815 30643\n76789 96879\n11695 58494\n1119 27706\n27387 90710\n50709 80880\n15708 43284\n5399 95988\n8135 69821\n46954 49081\n54594 85965\n740 84846\n15435 80917\n27562 73362\n30223 49554\n23223 66849\n780 9689\n10930 31013\n3716 57292\n38315 98137\n76641 94705\n28113 33053\n68371 97953\n7363 11965\n47345 48345\n51321 81456\n82089 85125\n13972 99888\n40863 80375\n51744 54137\n29680 44944\n27106 80187\n16568 57561\n50743 64216\n16679 95602\n18342 44310\n78182 96047\n33891 80579\n76442 91512\n19870 34005\n17908 57807\n38370 77280\n58370 60755\n9593 35662\n34851 66492\n97013 99892\n42273 46562\n57051 86201\n11585 72847\n50743 68435\n38609 65259\n31432 54857\n40985 43414\n11140 98388\n7486 14941\n5900 44948\n43012 45431\n47615 64220\n41245 50478\n7266 9866\n21227 48630\n13125 81651\n1589 53161\n38137 50573\n80169 85227\n17086 54832\n69170 90391\n65109 79242\n87799 88021\n25888 41241\n3534 50246\n16573 57632\n27092 37545\n24864 75076\n9619 72424\n48970 53158\n6143 38935\n8358 17183\n51477 61219\n3748 74402\n31357 87524\n59671 77231\n21859 57669\n22316 26636\n64891 75780\n49100 75139\n11572 58206\n13824 90545\n65147 66453\n32178 53642\n4912 45248\n4624 56384\n10967 31806\n16932 54144\n10543 71551\n32565 65016\n8732 77697\n2484 35676\n39796 96152\n12500 42185\n3981 80601\n9288 79870\n11316 75029\n1125 62121\n11552 56140\n8044 44059\n13602 35585\n40555 92595\n10047 76336\n16880 71882\n19741 58773\n78645 82595\n5536 80163\n31880 89130\n56400 68629\n56922 88779\n4422 79497\n22025 23441\n54779 86262\n57424 62166\n19714 52063\n8427 54914\n31729 71085\n4646 93463\n24046 87327\n51632 76402\n41824 69173\n3299 73308\n38076 40466\n58310 94311\n60520 98750\n84832 92495\n54126 78357\n31118 80335\n58015 62005\n47895 85675\n19493 53609\n51722 66846\n17521 57395\n20881 57453\n13562 88608\n4199 40976\n65794 80346\n15027 64627\n33196 87140\n86801 98237\n35199 71985\n6904 63955\n21124 70317\n43970 74978\n55344 60633\n33425 59529\n32680 50491\n59759 89302\n39265 52630\n58483 67304\n423 64740\n51221 77209\n9837 73171\n47236 48031\n71412 99861\n33211 99328\n32172 81643\n11298 63645\n79620 96763\n77339 91178\n4407 15241\n5878 53656\n50970 92450\n36598 37273\n20056 44895\n70332 98408\n33109 66985\n12774 74640\n10029 18430\n67480 76622\n36527 84358\n8721 80248\n11288 96714\n16465 34704\n81686 88711\n49418 72848\n57670 59204\n38514 63310\n10606 91487\n43686 77573\n55136 72424\n48425 65139\n1082 50100\n37063 70113\n41308 81961\n14682 16923\n3328 35343\n1829 82405\n33036 93224\n66895 67891\n26366 59159\n85445 92633\n50063 64544\n54317 64449\n95824 96193\n30797 80035\n17901 31795\n25606 34179\n54788 68382\n13208 28069\n33867 50633\n20347 32577\n65905 77727\n304 49389\n21686 99138\n33000 59495\n32541 73754\n14872 77846\n44393 71941\n5507 63344\n24510 40704\n21361 82687\n13702 95027\n42977 48652\n39122 91288\n14370 58482\n42511 44822\n7496 78114\n18418 26679\n16369 16860\n72864 79845\n54243 59264\n17046 95043\n30632 59786\n35104 96306\n24216 39301\n83148 91240\n29067 45983\n88906 90400\n12515 49366\n33815 42505\n64277 93077\n23025 64497\n33435 50339\n54853 77288\n500 84992\n23682 63596\n17502 78307\n7192 90069\n5359 17491\n9608 45383\n32617 81436\n16615 34547\n16915 60079\n11663 23110\n6607 55545\n50928 96061\n5964 14537\n33061 62131\n23714 94792\n47434 96809\n36458 65185\n35185 56046\n69231 75576\n4837 84410\n22770 52817\n2172 22012\n4590 98411\n17541 76466\n86838 90223\n30453 97132\n65784 71951\n33807 60533\n88788 90060\n6013 66800\n56726 88871\n32426 32712\n37550 45640\n58532 68950\n43753 68628\n5918 97489\n16064 50687\n11774 17235\n19461 39235\n24927 52673\n6149 42097\n62550 74616\n1336 59942\n93775 94949\n64861 93517\n46128 76627\n23334 66035\n17251 24467\n42738 64003\n2318 73024\n26314 27883\n23937 60720\n5458 15194\n15742 51727\n53313 65056\n39001 85621\n15950 76637\n40713 59430\n65768 92199\n874 28956\n4930 16601\n21983 90554\n2242 46240\n36529 94048\n5438 7808\n7534 76398\n74510 88912\n21373 94963\n42492 69607\n2008 65067\n21107 89188\n42532 61134\n24129 65086\n16499 28090\n40165 84985\n69064 84496\n21654 47955\n13631 45243\n11598 24791\n58062 62561\n6655 53994\n30774 83004\n36102 66489\n992 42781\n8019 74846\n60364 84559\n31346 47811\n64588 98232\n7695 82519\n93543 97682\n10368 94378\n31029 86958\n81632 90586\n60924 64171\n44259 93770\n23182 81578\n253 28961\n415 66966\n89987 95916\n11887 55011\n73982 79823\n53829 85325\n54228 62144\n21836 56449\n29495 92823\n56264 71281\n14636 52188\n29423 32350\n2683 72323\n3775 40799\n18926 22691\n75040 92630\n27860 30877\n5434 82130\n2731 43579\n66604 91696\n36868 89432\n47281 85251\n23027 46457\n1882 84722\n25186 57033\n18203 65019\n40091 78705\n16132 50046\n14347 82700\n42674 52280\n32345 64185\n80677 88302\n43874 51431\n56858 68310\n64050 99061\n13216 53014\n23057 69284\n3266 37670\n15213 41942\n15196 82207\n5021 33200\n43740 81638\n46384 61099\n75493 83672\n11715 62866\n14470 95906\n24707 26733\n28506 96496\n47314 94795\n77594 84438\n55856 90320\n26336 88335\n56325 97165\n4139 82241\n27902 32419\n3682 97366\n59284 91529\n16102 31940\n72934 96880\n36893 64436\n45825 66678\n17659 94727\n67624 74739\n7133 65775\n25281 69478\n6859 60112\n63687 74459\n10383 49285\n1515 54938\n58463 77970\n54697 61469\n7213 59631\n41270 93399\n44849 53999\n20262 37713\n33957 93749\n10270 40903\n34924 83675\n46852 90615\n33810 84614\n28928 73057\n4183 84666\n39899 94397\n6889 9471\n53802 68706\n24171 58351\n14170 73003\n37858 65124\n4753 56069\n83410 83641\n48627 73833\n52474 83979\n29154 57549\n37203 38487\n18186 90091\n89572 94850\n11093 70253\n3928 36653\n77433 84591\n83185 96879\n46485 60253\n8717 38575\n43358 96998\n8199 10101\n51297 59156\n69768 78718\n57039 70260\n39736 42748\n14836 64018\n28083 68188\n31526 32730\n6358 92851\n32887 39337\n19533 19616\n5538 47076\n6490 87297\n47451 73446\n77460 79990\n40719 73224\n21916 85786\n79501 83943\n63608 73229\n16996 98541\n17179 42927\n46539 83660\n22812 68109\n4635 98899\n15531 18470\n38663 53702\n81090 96669\n29028 36856\n68641 72527\n67030 90018\n69253 70982\n1362 58142\n25492 43347\n50302 87146\n8342 44416\n11 7675\n45894 84587\n14530 59989\n5497 7566\n16450 90451\n32994 38513\n6540 28845\n84106 89501\n6158 58022\n29855 58395\n78414 93228\n84863 88619\n31073 65925\n13113 53721\n22505 78456\n79824 97549\n22708 44646\n32151 93258\n53229 98003\n51701 62248\n7836 24960\n25086 53909\n13352 48252\n14002 35536\n62660 75897\n18952 70573\n38259 67369\n19052 80925\n20158 87073\n726 65801\n24374 60725\n65395 93205\n35663 46371\n12163 17028\n88720 96271\n5312 98528\n11224 86690\n8635 18837\n947 34656\n39320 97495\n42730 98005\n85071 99414\n9703 88762\n2143 57193\n68532 89739\n11229 68086\n11054 78500\n818 25811\n8256 73710\n24716 29792\n86477 97976\n38566 77026\n84312 92477\n47960 86335\n19293 85732\n187 97259\n60942 84358\n1654 77595\n78131 92765\n30550 83463\n23408 69670\n15256 19116\n42048 77612\n19743 20845\n71668 83133\n6959 77012\n34346 36912\n11339 84919\n8607 29250\n40054 92245\n74533 89273\n2006 3327\n17769 41175\n29005 75210\n41512 77012\n20076 92521\n22291 69505\n5356 7246\n7941 68326\n19489 52609\n55013 76904\n28002 61452\n63539 71579\n28329 30540\n23679 98335\n14110 18308\n52675 55833\n27932 42054\n21470 82107\n20647 38045\n27903 68360\n28644 91513\n46195 62693\n61115 93611\n32021 74363\n41870 88122\n30043 65651\n26188 70086\n29045 69031\n29586 52514\n65178 86039\n10951 43666\n30701 99774\n62075 85887\n37064 59746\n32882 38896\n13455 29076\n3765 48036\n54011 78710\n3585 41010\n14662 50680\n17265 51312\n34234 36777\n21839 42639\n14200 45071\n38357 38571\n63338 90378\n7696 70637\n29124 63414\n65383 88654\n43638 52384\n30976 70708\n31259 75765\n16963 93718\n5519 51285\n55387 88012\n17182 80140\n7667 25386\n12303 14369\n88925 96870\n4517 9689\n64947 65709\n28269 44359\n65068 71149\n30542 96541\n8093 70907\n53640 68658\n62776 87689\n14470 54542\n6226 16110\n707 49019\n58589 82335\n40078 54103\n49058 61777\n72859 79059\n31911 75244\n13859 93452\n5571 68729\n24287 37053\n57609 93377\n31925 93665\n44811 92557\n51133 85873\n2376 69334\n37591 61125\n42280 64601\n37620 54205\n70879 77306\n33619 66768\n27737 55212\n45256 48848\n17690 97221\n65600 88227\n30223 32823\n19206 20261\n42333 92584\n11689 62011\n33333 56629\n30762 77545\n23774 50436\n38519 84573\n6565 8376\n42292 77625\n40385 99661\n12981 41066\n34461 70864\n64150 87913\n3573 38882\n42512 61170\n22498 96990\n18472 67918\n61172 91090\n24540 30497\n28325 75471\n7281 70304\n23598 28252\n45946 55301\n6658 76198\n41199 57843\n3682 97246\n6546 84628\n56233 84709\n25535 47100\n64926 69696\n59782 89090\n13547 65261\n25659 39253\n21974 96063\n35704 64232\n81493 84664\n32631 52031\n51715 71113\n9241 9786\n35850 78501\n4491 37124\n40356 41783\n56758 57051\n14427 17051\n19942 51469\n49358 90352\n2435 40158\n26611 46514\n59106 91970\n29803 44994\n18476 80594\n8527 33233\n40430 40482\n36289 83254\n5857 40018\n2882 85889\n5664 20445\n22183 24948\n21245 55395\n13686 66380\n3031 20419\n33069 92806\n16711 90882\n46078 57401\n8146 18540\n47259 78878\n50622 69487\n33213 53513\n3833 61660\n40795 53198\n10362 47610\n31477 83820\n22532 60833\n31536 88486\n19682 39921\n75662 87128\n8976 35059\n26028 40579\n40648 83258\n16236 90813\n61057 84849\n27472 55109\n53055 93494\n21387 47986\n31961 98432\n17653 65631\n986 15081\n74150 98244\n23588 32088\n650 66608\n68800 73407\n10969 76993\n58069 80102\n18643 20844\n81526 90463\n21876 36359\n47873 87062\n83912 98041\n33226 56968\n55538 59175\n47517 59864\n49861 68755\n64838 98664\n60420 84396\n32435 65439\n28972 81414\n15310 17317\n73985 98072\n2952 6785\n53622 98010\n47610 59141\n49315 65805\n1262 58644\n18611 70528\n59469 87107\n15508 80364\n10304 35456\n1249 19518\n85559 90818\n30376 86331\n46999 75223\n26993 46520\n50463 53535\n14680 94669\n2942 25016\n24289 32062\n30759 33615\n511 79268\n59151 71764\n10826 68286\n89368 98782\n3605 47745\n75923 82556\n44188 91749\n13215 91656\n63891 65522\n37284 64232\n30141 62255\n89134 94958\n23872 63229\n39676 98031\n43865 81996\n29584 50298\n51092 56387\n40807 82029\n49472 97482\n21590 73194\n37249 82893\n3414 5115\n9404 46503\n23512 81075\n49526 91326\n37166 51094\n13398 72502\n60128 83746\n37848 98543\n43836 75948\n21695 27559\n23241 61883\n12466 97778\n95379 99165\n5177 81120\n43920 92589\n17943 38586\n87153 95595\n31796 72176\n22110 55034\n33819 91696\n47670 69665\n15836 57864\n33382 69260\n30466 92278\n21433 76408\n17381 99618\n15015 57430\n41217 53171\n56170 80271\n11207 72274\n18023 20178\n79479 87087\n30380 34043\n42902 82723\n38518 67770\n65967 75538\n5096 26723\n37395 76240\n31760 86836\n12654 65141\n50479 76777\n35729 56123\n22875 27836\n40725 50431\n82935 93211\n11249 12272\n24168 98439\n54379 54685\n20947 26236\n7934 30004\n23912 71363\n31497 96263\n20 33703\n4278 72355\n28046 92617\n17213 27403\n27569 94316\n1387 41381\n41797 60642\n11336 22084\n316 5761\n40729 74253\n4609 84134\n42714 63947\n39017 53192\n28221 40917\n66157 75071\n20677 60029\n76418 99964\n54002 70748\n18127 59897\n66402 91018\n69454 69709\n31811 92756\n29449 87063\n719 47604\n1287 15527\n81856 83046\n16000 73440\n25011 85500\n4954 71391\n72582 93761\n22471 23675\n58638 67503\n50632 79847\n41865 59897\n93 87385\n65965 87280\n72689 96355\n67454 99753\n11590 29121\n29566 51863\n46333 82904\n18819 43228\n74002 77260\n44277 70532\n1975 13936\n72894 92746\n31000 62688\n75074 91030\n56462 74627\n68460 76916\n35194 73289\n46095 73045\n11795 39370\n12764 58645\n71595 97875\n228 80238\n31593 44026\n47732 75829\n43793 51433\n1768 6381\n60274 78117\n24119 85390\n3810 41392\n59983 60959\n39205 72068\n53675 68683\n33947 48937\n48894 64088\n2300 70170\n35320 74497\n58669 69164\n30106 69478\n24284 45779\n59538 64611\n24335 91369\n12643 53550\n40626 63661\n22943 49268\n8176 56681\n7278 41231\n41307 48624\n2833 14704\n11290 60230\n7961 23542\n62373 78950\n50025 63193\n65203 73332\n78378 81960\n19549 36806\n33031 79839\n41425 82793\n31929 92909\n34392 37251\n36347 41634\n10031 67838\n10003 25628\n4576 85655\n38755 63938\n3890 22662\n47206 66081\n14231 75744\n28890 86932\n16344 61672\n49891 54386\n16279 92538\n62589 98609\n18595 26342\n11704 35646\n19384 85870\n4493 40284\n28797 36668\n29191 87730\n42085 62507\n22606 27062\n1930 45007\n34718 47499\n26807 38865\n11737 17848\n2 50008\n74891 82687\n91091 99776\n57394 96137\n15936 96893\n9817 82589\n45724 81166\n25077 47577\n23684 25984\n56069 58636\n65938 88031\n63030 87251\n35129 73174\n28816 98650\n8521 26961\n2352 99063\n25997 66612\n48747 94960\n934 72467\n11418 48302\n54411 78362\n18729 70779\n21619 25296\n35911 39664\n57119 85559\n36106 76749\n22306 68080\n52427 56513\n27788 70024\n80296 98350\n21875 71696\n79205 85315\n45628 69931\n9750 41059\n73082 94384\n16144 90363\n60141 82219\n19957 41115\n74488 75747\n76853 80954\n44986 70350\n38952 55682\n51830 93966\n10155 55246\n37439 77638\n5817 24910\n17833 59000\n57154 96657\n35556 64167\n32893 60721\n23291 49128\n41034 60981\n37492 60755\n12321 52830\n41593 73375\n58104 80162\n888 25352\n51500 70729\n55233 77902\n33199 83949\n62445 92898\n51508 92941\n76263 92540\n2285 11359\n19864 25289\n2340 71436\n56667 61217\n9906 22182\n69504 99469\n1674 68303\n5241 83314\n6061 40613\n21064 65882\n8836 81317\n12337 30989\n2532 69380\n26671 86960\n32359 96742\n3912 39782\n30557 82524\n63455 96150\n48970 97171\n15786 67206\n21041 97896\n93151 94456\n23055 42288\n44695 46532\n20066 49846\n13685 69254\n9091 94361\n19478 44254\n16260 78219\n47914 83102\n38571 43252\n4702 77289\n6395 20123\n81544 84846\n69470 97235\n26263 89652\n31310 97093\n8420 47351\n12673 97243\n42609 91474\n18132 19673\n3187 72736\n51988 99376\n42871 86868\n29952 48196\n21813 49341\n42889 53851\n46205 88262\n11479 61976\n11764 64933\n40743 76464\n45442 84824\n4453 9799\n36331 52633\n23887 24180\n32456 69977\n40586 41477\n27036 36980\n5267 15467\n32467 93302\n22817 41229\n13082 55478\n77587 90132\n23601 30724\n9168 33172\n16130 62446\n47895 94633\n68849 71197\n68690 88282\n54414 83400\n66133 80508\n30324 50563\n15049 98549\n21663 42620\n16714 81236\n77462 80367\n51765 72792\n38308 67437\n5751 43142\n38277 90871\n28836 81532\n34423 79889\n64681 93529\n20278 49387\n26819 44744\n21459 76596\n89366 96837\n4279 91306\n13981 99471\n31085 75503\n17730 37649\n79201 82535\n71234 81462\n62145 97077\n47503 74531\n16216 67393\n40132 54783\n19380 99177\n62357 63848\n23540 43384\n29367 73107\n42104 71083\n44691 85771\n1083 79830\n27947 49722\n38654 73118\n48286 57515\n98061 99045\n50527 54914\n43403 46986\n29815 43064\n28398 93671\n14765 17711\n30275 50664\n69997 97796\n29587 43700\n12663 80185\n4853 76257\n59429 89520\n16964 70702\n21198 31319\n37043 57747\n23142 24573\n10582 86919\n28039 31400\n23908 67702\n56320 87374\n37280 78448\n62677 89859\n38941 83934\n16851 87852\n1336 90101\n75356 83926\n51236 70155\n71370 71497\n37968 89868\n50393 71193\n36868 73801\n25098 54218\n33395 86623\n93151 94485\n54481 85491\n41231 55336\n19171 40225\n49569 65431\n68559 83016\n13151 16842\n4750 58315\n74786 79736\n75703 96728\n5512 30502\n92017 92763\n12296 27066\n24703 38111\n9284 56724\n2298 93097\n23837 75418\n6892 83266\n10542 98009\n24804 56851\n19699 75114\n39283 99876\n17812 69954\n14237 87782\n36686 87094\n8531 58848\n16661 25166\n83614 97563\n83343 99219\n69794 98835\n58218 96879\n8839 49189\n13366 97347\n64663 85704\n26122 37390\n83427 95901\n40715 93531\n48475 71911\n11958 64946\n16823 68950\n33201 96047\n74165 77823\n31479 99262\n25593 33962\n9679 61629\n33310 50688\n52412 58427\n3672 85278\n13331 61105\n9189 63182\n79068 97609\n9955 17193\n33629 43131\n20754 94854\n14374 46760\n36122 59610\n15283 34597\n5262 8055\n7200 97435\n84634 88409\n25585 57613\n66370 98832\n60532 99687\n71101 97244\n40900 90969\n65552 95120\n40555 88672\n51702 56597\n71451 90384\n73764 76205\n48720 99855\n1519 84828\n48216 55574\n88063 94609\n9641 23336\n34493 71388\n14822 14826\n28233 34417\n7474 75047\n14418 32400\n47374 60563\n25469 58819\n56745 87606\n11371 84980\n27586 81416\n17608 43675\n42555 62730\n3519 63766\n4329 7915\n50915 81703\n5289 57401\n17129 46615\n43706 48930\n46060 60827\n3702 97165\n49269 57039\n84809 93930\n23950 37903\n39619 44225\n36804 44551\n15911 84336\n75827 87833\n62524 70294\n70919 94185\n54493 99891\n40958 44263\n14288 50580\n84626 97352\n19205 35524\n52745 88098\n26410 62507\n6590 10867\n18849 43816\n24213 59958\n70081 88702\n54823 61349\n16662 28343\n55754 66537\n86612 98360\n41262 80715\n13116 30023\n54338 97981\n9283 85481\n45117 85840\n44407 93880\n14334 56947\n25423 76830\n60036 90656\n26537 75782\n6532 72620\n10880 33196\n25565 37770\n39118 78958\n38835 87056\n44395 76964\n25893 41581\n17565 98459\n54993 60838\n26358 92454\n49751 78074\n21782 48891\n38567 40494\n42426 51098\n40334 65777\n27930 52315\n62516 78989\n38136 68203\n20176 87328\n29901 61919\n13201 86643\n30242 74894\n55845 65455\n34404 77332\n48144 63013\n90103 93504\n3988 30190\n41067 58328\n25768 96788\n15640 74466\n70246 73239\n9010 40452\n27827 90435\n22421 56490\n14273 19218\n43524 92796\n8139 17304\n62264 71889\n43349 82448\n38099 46243\n16563 49857\n34113 38561\n19128 92953\n2849 9411\n83457 87026\n12723 59088\n21318 80205\n25767 64420\n42844 96995\n33694 46307\n40398 75859\n1454 24017\n11365 80963\n76129 90517\n51301 93732\n36536 58705\n7422 24842\n74183 77372\n14448 44757\n58006 61050\n62101 97799\n48343 68962\n31482 69240\n39496 78435\n42904 86542\n3117 39534\n21005 52871\n13404 92013\n14399 85518\n3287 12905\n35533 65176\n19636 23961\n65360 90396\n54783 69913\n1562 84111\n44568 55024\n1104 5085\n16391 66431\n21465 92778\n37808 50896\n92356 95480\n16124 21228\n63156 88341\n23529 92696\n3080 17429\n36834 48596\n30643 49149\n19529 42720\n35527 52454\n13304 65284\n66110 85854\n24209 87309\n53115 82985\n75804 94936\n57896 65286\n57347 94336\n21107 89189\n5822 15642\n31598 62230\n69909 76815\n51037 70762\n38100 99208\n20550 21810\n14559 61031\n44982 74126\n18321 70236\n32416 53626\n29032 40864\n30909 32516\n84010 86194\n98 27868\n22741 32491\n44219 77097\n1144 76819\n22638 68861\n61297 97182\n81919 99234\n6178 60671\n48462 63914\n3745 34199\n64507 93080\n21732 35437\n53750 86549\n9798 82731\n10934 36526\n32209 35248\n21805 64806\n18421 60432\n54334 65141\n455 48652\n23773 98521\n56507 97693\n38130 83975\n49748 98670\n8238 85191\n37441 72424\n41753 72808\n31288 51726\n27130 40928\n12337 89868\n44771 68451\n11413 78794\n31697 71673\n24625 99907\n18077 35956\n29314 66940\n14223 95129\n38271 63601\n10382 97936\n6850 56987\n56939 93951\n63363 64976\n4411 23011\n18445 38909\n8679 90935\n35313 53874\n8289 44114\n54815 72935\n8278 34866\n45474 93288\n72110 95568\n90269 96058\n31902 93427\n10332 31607\n57293 97414\n19457 83938\n55406 79422\n30012 60626\n71079 94323\n14168 73620\n46838 93886\n5801 72230\n26516 34873\n12293 26150\n48083 94734\n41691 71476\n5029 48658\n32730 55682\n57327 63372\n17327 65453\n16076 83829\n23270 60941\n14600 27869\n18346 54283\n915 52910\n4022 88455\n4128 45061\n85123 96468\n26757 38133\n88972 94123\n28131 78834\n19036 88686\n45638 51509\n32493 44250\n27719 62310\n25343 29812\n4758 9144\n82666 98331\n20705 92986\n20651 26075\n86118 86581\n82512 91420\n11466 81776\n46313 52174\n9394 90611\n40226 85842\n97401 98215\n32036 81273\n26619 90732\n43190 74159\n21153 70620\n66778 79829\n15100 15340\n42622 84395\n15479 67276\n14798 78098\n69351 70966\n86191 98336\n35207 54340\n50595 88068\n34594 49738\n67520 87516\n48259 74594\n61307 75314\n39845 91652\n10553 86687\n62843 72611\n42799 60434\n23360 59178\n47815 79641\n14146 96925\n36321 63985\n66336 86115\n56063 70098\n29940 49288\n75988 81238\n21384 33191\n63509 98128\n13047 23597\n21981 29103\n25151 46644\n9940 26500\n5684 88519\n34741 93558\n39273 57907\n11802 34995\n8420 94542\n15408 25926\n27205 35916\n59054 78533\n23649 74548\n34743 46072\n3010 54034\n3516 58346\n33997 83939\n52458 80931\n40384 99263\n36133 66681\n42039 63082\n12352 99068\n14002 49378\n13948 81727\n55448 78602\n8438 18639\n76177 86262\n12196 81866\n4584 77002\n54662 60251\n9729 23020\n8872 46785\n12982 54158\n1236 63737\n47543 77754\n9300 53303\n83446 98383\n43051 74374\n13229 48834\n38844 69273\n31152 34375\n90386 99696\n33658 70600\n31509 34039\n18884 54288\n6768 47045\n64326 97846\n7312 35076\n15180 57553\n43207 65389\n543 71492\n26323 81189\n20543 75836\n71679 72687\n4635 58624\n2805 35069\n28220 93139\n24078 55549\n51896 57143\n8549 42907\n59435 76258\n22032 63914\n203 6131\n50325 87596\n30569 70363\n10705 90499\n83298 93151\n1667 51518\n7802 80697\n20032 44379\n40503 64069\n3846 69278\n43607 64107\n63233 99974\n50034 98291\n22693 94344\n7409 36398\n18682 22114\n65318 71092\n37867 39831\n7085 60771\n8967 99292\n61387 82603\n10503 12166\n59765 89727\n11218 70050\n59139 63552\n86384 98900\n49266 55098\n60893 93080\n8775 40615\n15958 67805\n4420 60683\n39171 63002\n44265 73045\n59261 59604\n8419 61628\n21862 96045\n47642 62266\n21100 57509\n34146 50449\n1444 13179\n25088 86607\n44489 93840\n7042 19887\n91739 94973\n21303 81923\n51469 80397\n44850 47946\n40617 99056\n69367 94735\n63667 71342\n43971 54008\n79238 88123\n16262 91338\n16586 83609\n16739 92633\n18606 99150\n11082 84584\n3368 75849\n24887 63186\n34946 77934\n24736 88117\n62963 83581\n34942 70826\n16791 94762\n54134 75726\n4690 88226\n22839 68199\n7240 51240\n12413 25506\n40386 85926\n56032 75104\n38510 44132\n72115 74952\n49390 80554\n7643 24591\n9005 60559\n65893 84665\n40653 97736\n2735 29016\n37112 78411\n22348 29726\n47718 52633\n23368 33049\n65625 83441\n29898 53675\n21376 49324\n10944 20682\n25241 78020\n5758 99613\n44543 45418\n11058 86714\n222 98172\n39411 69684\n1314 27420\n9389 62323\n42033 68457\n56316 57563\n28797 60070\n47644 70633\n9991 32533\n17559 52146\n45224 46981\n34882 67970\n31168 33869\n7668 86921\n36135 97832\n61694 95374\n14796 93595\n20192 47622\n37830 56781\n22687 46773\n18019 94956\n1537 2325\n20359 34068\n13897 69946\n35377 88964\n7001 52193\n16070 61228\n57651 68590\n8386 95206\n47629 54115\n68530 79187\n39209 47028\n66126 79367\n22030 33298\n24694 55851\n5193 94400\n48822 64431\n26603 66209\n28339 45865\n2137 43200\n4512 75264\n6807 36867\n7244 78962\n56208 78965\n40267 61984\n69656 94218\n14549 58132\n7940 81058\n47931 85494\n19164 87998\n28360 31706\n46867 77641\n27776 29214\n41267 88335\n18514 67538\n58298 69016\n55085 65028\n22862 90743\n3456 93968\n11823 52621\n27544 94372\n85126 92895\n7023 34411\n87282 89093\n35328 52303\n51641 81200\n21046 76241\n69684 80551\n13642 99179\n45002 60796\n16062 96681\n67470 85723\n25776 57755\n50362 70872\n30848 70876\n2382 35277\n9374 18465\n6074 73024\n38126 80038\n26638 28011\n22965 64599\n51191 63567\n76721 94013\n25728 97614\n44445 53617\n14281 48420\n9353 99829\n95702 97364\n56434 67991\n2041 31754\n42255 66289\n36193 60452\n22349 30126\n52700 88640\n32629 43916\n53600 63294\n33455 55764\n43862 72224\n2012 20156\n15936 74512\n49652 63947\n31208 69209\n5890 9157\n27966 81950\n73252 93677\n8445 28004\n75049 91666\n53907 94467\n36492 96203\n21727 68210\n54301 82975\n42063 42795\n70841 98759\n84452 94092\n5063 10903\n26876 84683\n8691 53700\n55403 97302\n60989 79871\n46155 87381\n89259 90523\n11558 89131\n54082 65836\n74800 85293\n59265 92935\n63372 87655\n49489 51396\n35262 97088\n39606 62091\n46897 81968\n27456 34724\n11206 75561\n35320 59483\n3952 28578\n32582 56599\n1167 23484\n23885 27628\n8978 24048\n12332 31984\n23746 31968\n9123 18487\n31856 91254\n83760 86192\n4116 29795\n8429 88228\n38444 79687\n55979 89635\n53581 66104\n35796 38744\n12244 99905\n4357 8797\n29878 77545\n53368 91535\n19718 83678\n4981 96512\n79960 96325\n60901 94822\n14872 41171\n71560 99821\n25169 40943\n3761 94719\n18036 97306\n32953 85311\n4241 64322\n55712 75702\n20862 85293\n60690 78107\n29326 43098\n68666 98219\n15619 94080\n16638 22604\n61579 90350\n31925 82955\n32343 85055\n45879 63062\n45429 93624\n24264 25147\n59850 75750\n28358 44895\n18484 61568\n62526 66512\n22333 53040\n31610 62082\n62524 69809\n83030 99954\n19555 50074\n1902 61145\n53062 59396\n53058 96197\n6875 12760\n56070 59273\n52706 59993\n7370 41975\n32977 47016\n46616 97068\n92637 97701\n65 25381\n49142 88688\n23124 68020\n26952 37087\n13751 15349\n64605 94848\n9531 84721\n57329 70088\n74372 97337\n62141 66887\n29667 38919\n9640 68130\n9406 42780\n36056 96685\n49040 56090\n27866 56259\n2181 16483\n55939 62923\n64339 73290\n2437 58663\n18931 89581\n4637 9618\n16493 35273\n32243 81238\n41216 58674\n51110 93002\n43737 79712\n13273 14347\n33497 36752\n37217 49024\n51565 58815\n49345 63822\n62415 68728\n68337 89722\n28063 53771\n7933 51438\n35726 81038\n7374 59753\n11509 54178\n73639 97501\n41299 99191\n5601 7252\n1510 6930\n60502 94677\n68306 95445\n16255 88497\n71314 95420\n53279 63457\n25171 51204\n20099 42061\n39006 41724\n23291 67918\n4850 35816\n5178 7957\n37079 69272\n36032 98589\n4440 9721\n3983 58802\n4416 33840\n32668 64398\n14828 99767\n15534 38625\n31240 85320\n5772 45765\n84223 87886\n60185 61614\n21530 49419\n74798 99015\n22898 31054\n55194 65033\n54706 80247\n39348 44528\n10229 35205\n41447 77918\n34912 40290\n894 31565\n25704 34327\n29012 33163\n411 1133\n57252 60005\n59080 99798\n16526 86521\n13771 84759\n11557 36709\n8440 69041\n23721 37126\n62137 74588\n15442 78132\n49844 98816\n39273 87413\n38634 44381\n4067 55432\n54504 68862\n25567 74226\n48811 91626\n46999 82767\n50048 75802\n75308 88379\n6804 15654\n10069 26643\n61247 63202\n10221 74562\n13834 97846\n12522 15537\n44646 97055\n72544 78070\n59306 96860\n34785 59292\n67104 87293\n19439 94407\n28833 50563\n34073 42451\n10165 20686\n14434 99166\n4788 81988\n20053 58266\n40164 80222\n41098 51744\n48336 52141\n12142 86487\n35542 66081\n23360 81267\n1216 17301\n18697 94594\n65673 86300\n48692 73114\n18851 85068\n30998 71024\n5193 29428\n25340 62935\n59779 90021\n36917 65636\n22374 92721\n8230 60065\n71572 95939\n86506 97575\n63201 86769\n22292 36924\n20997 23872\n28132 95089\n39594 67871\n45351 46354\n28458 51639\n4996 43569\n86992 95099\n37678 68268\n34128 58578\n4630 96928\n59935 62568\n61535 78722\n33962 78514\n10694 50966\n23565 86945\n9921 24153\n65609 88948\n57047 59367\n27721 96669\n35466 66908\n74745 92061\n13586 47759\n18101 54346\n14564 59134\n46236 69861\n75000 81018\n33780 64868\n42116 65789\n17671 20644\n6541 8328\n2606 21731\n29772 41736\n36566 43898\n57278 70290\n47653 48896\n52343 82135\n16359 25712\n24792 81331\n13389 35522\n69504 88122\n22709 38615\n55007 94176\n3505 64177\n4584 37466\n5578 20641\n11923 97929\n30487 70890\n38561 60969\n76525 85711\n44743 52218\n48598 48671\n76164 76542\n19507 90158\n55746 96069\n57368 99904\n4008 40112\n50147 82331\n16460 39245\n29791 45408\n55425 63243\n5395 63579\n9671 53745\n24484 85884\n15639 49614\n70045 80767\n17866 22030\n30321 69524\n3957 5642\n8204 47073\n68711 72527\n25953 47848\n2712 39669\n11150 47393\n7425 56862\n25320 93828\n1478 46556\n96978 99945\n12816 52449\n81431 98632\n24402 58182\n34216 74197\n65455 76759\n4375 18518\n84555 93352\n71126 88108\n69608 90643\n78316 81216\n28932 40900\n5660 58722\n53381 61623\n46012 69362\n26655 26741\n48885 99336\n52075 63455\n52093 99586\n66939 71642\n6156 20075\n51495 70817\n10251 94632\n25352 37399\n51322 77546\n25667 67588\n1548 21952\n2471 80519\n56669 70003\n71031 85013\n42762 78782\n39133 49119\n77746 97281\n10868 92627\n24627 29767\n29946 95287\n77068 85424\n16253 67985\n41087 75804\n36380 36975\n3647 40779\n71299 86028\n25005 52118\n61178 89447\n30666 31886\n7859 88401\n57466 79751\n11089 48199\n554 54915\n2482 39399\n65493 87608\n9008 84586\n68096 70177\n35174 83042\n54747 74828\n719 29589\n3264 90518\n13154 40611\n1759 12931\n34031 94219\n7648 72167\n39692 71222\n19775 21903\n15481 64916\n52651 98911\n40555 73841\n4949 36654\n31926 99745\n41867 90126\n31097 56368\n12640 64415\n726 16738\n24115 61643\n30720 37833\n9245 62992\n10886 44707\n66639 82571\n65753 78415\n4025 74999\n71771 80082\n66400 97965\n12310 79259\n5611 96999\n38412 85299\n375 15636\n332 17169\n22341 53089\n41662 97918\n5651 12448\n84633 88621\n3369 23853\n51296 87443\n40379 59097\n16584 36421\n56087 91254\n7438 13683\n42384 46868\n50418 55960\n12786 85942\n9664 65339\n60065 83122\n75383 93202\n22538 55204\n87004 93004\n4986 62986\n69577 89217\n56457 95865\n40342 68297\n27383 47679\n9611 81287\n19086 58214\n29676 88170\n8461 32874\n30457 94294\n61199 97789\n63206 81066\n2851 94072\n37114 91934\n12260 81157\n69396 91888\n46351 46937\n47422 48252\n1707 70469\n30470 67774\n21374 88642\n38578 52779\n15071 55141\n56482 73791\n20507 71982\n1773 36939\n37936 55578\n49512 68898\n1600 23638\n427 56856\n17783 35424\n2726 80632\n6780 99458\n49962 72285\n20754 48637\n57542 75950\n5798 37446\n36126 81557\n56159 79768\n77212 89082\n79846 83820\n1719 31334\n9030 36706\n61879 89306\n61285 89511\n25746 81182\n44752 58830\n25308 39883\n57251 96171\n49464 99148\n13674 30768\n14321 76277\n27691 31292\n8967 92534\n39451 68241\n39124 46468\n53973 73856\n19315 76779\n6464 25136\n15188 62597\n48003 73458\n11189 39574\n22444 46546\n23487 79529\n82329 91762\n33827 59752\n16227 51719\n35270 86142\n7970 70014\n23875 64366\n2578 5298\n28738 94403\n8336 29155\n12680 46241\n9295 90697\n15932 65205\n78018 96063\n78748 84964\n11047 77254\n4597 16071\n7777 79537\n54451 90449\n60819 92890\n5506 91665\n27183 95077\n8057 32571\n5783 80491\n40751 73956\n10445 15535\n39816 81061\n5457 35057\n26313 70867\n47663 92033\n74496 99237\n15566 62233\n48094 69597\n29360 88904\n67968 72508\n15387 83299\n2928 75995\n6216 9869\n3470 61489\n38438 79366\n11754 79188\n8514 52523\n20142 74160\n7473 29157\n12492 45903\n31986 69289\n16189 72851\n11060 54757\n47557 65324\n42238 78977\n28366 84327\n43951 86439\n58988 69324\n9522 43973\n21887 73415\n77265 86127\n69569 80846\n54401 67741\n16289 63371\n31996 70315\n45023 45644\n34289 85268\n60407 82620\n234 20794\n72374 91052\n17487 93051\n32123 92376\n15426 75995\n20938 21125\n75264 96587\n43650 99704\n31211 33757\n9573 43698\n78 30963\n6648 12481\n83174 90603\n3681 23478\n15258 18941\n41705 74051\n20436 32797\n4814 67413\n33247 93266\n51783 82372\n25324 34987\n11359 13494\n379 42648\n12368 90987\n9283 74631\n13369 95019\n25526 37642\n18038 69704\n5109 13479\n11196 53189\n26170 63425\n53333 88076\n11945 43269\n16480 74677\n33565 80973\n67484 72098\n63605 75733\n7701 81328\n82641 88668\n22772 26975\n25275 34171\n72004 76071\n3712 40645\n14084 89020\n44873 76199\n48300 59657\n3407 45912\n5006 36434\n47257 63189\n5776 15112\n78228 81281\n55360 68041\n17530 45355\n77051 94167\n7884 41034\n26831 59453\n10341 34086\n89656 91769\n67001 84502\n62261 82576\n71958 74787\n11841 75606\n1385 84445\n43894 62401\n12364 84748\n26629 66777\n60498 93009\n67908 81266\n73990 76221\n20044 25726\n31996 99525\n43457 86556\n9782 99311\n18371 34869\n23307 83519\n60110 63335\n17734 79528\n1332 30359\n6865 25742\n21035 96605\n890 41854\n26763 42194\n33105 69546\n41500 93363\n20289 56714\n98926 99266\n26774 92404\n24414 37520\n25106 26943\n39486 82869\n11827 50878\n46825 67802\n21546 26707\n10162 77341\n7241 45671\n51089 73448\n12853 54603\n76053 99917\n34331 54891\n4825 85457\n34043 85748\n60718 66616\n20031 39093\n14970 40619\n21083 71346\n64794 72847\n64121 77030\n83784 88373\n1204 49026\n93857 98709\n32627 74780\n46567 91398\n64251 77242\n39473 52302\n30061 61817\n12702 53515\n51486 67248\n16615 41011\n4921 14112\n23187 53820\n5471 84894\n7097 18471\n15207 76581\n9275 25745\n25103 71973\n4714 48661\n8947 47025\n12811 57599\n36432 66273\n53327 89226\n27112 33243\n78298 89864\n26323 50664\n13251 22300\n6343 91294\n51222 88713\n44590 81072\n41042 90386\n14085 36249\n44010 83335\n15227 54381\n30109 89806\n2973 83260\n37900 55739\n85194 86864\n6892 53302\n23891 58882\n12455 27549\n3304 35468\n43164 71129\n13291 76225\n21249 40160\n1906 75147\n29153 60211\n14530 39046\n73199 89766\n14677 14919\n74137 88375\n30188 99289\n6460 34184\n39223 64455\n5836 20053\n74459 97177\n63499 98359\n79277 90012\n33982 60499\n28093 64719\n19853 27425\n91 76382\n25628 29414\n7891 55945\n13346 53760\n61219 98437\n5925 91612\n22551 55746\n19736 70588\n8532 42930\n14185 43357\n44268 52384\n33292 62826\n81155 91419\n14458 77571\n13771 60652\n6689 63885\n47368 89877\n76060 76506\n21499 26681\n54210 75725\n80987 87113\n8716 74974\n2712 28515\n13209 28810\n25897 84119\n45303 87401\n44398 63158\n71091 81185\n36961 79224\n8849 80239\n46566 51204\n37982 70116\n15285 26931\n45729 89077\n14563 40633\n79103 86937\n10500 62179\n56510 73032\n29028 92355\n48373 79648\n24532 92177\n49491 73719\n24306 98801\n30487 97927\n58512 91719\n61901 99690\n834 10516\n33417 59705\n33357 34644\n16818 34339\n9727 29736\n4475 48959\n15575 85349\n6724 12361\n57494 83715\n12085 68419\n6958 28268\n23083 59781\n31553 35514\n6126 23542\n89542 94019\n62943 75383\n26383 29719\n588 54731\n29924 45638\n6592 35994\n40590 66384\n53739 97825\n29512 96572\n25167 92619\n30093 48926\n23273 74048\n15570 58202\n28121 86188\n64650 67393\n6553 53280\n5737 46360\n10037 19660\n64798 94524\n55346 88452\n70740 90439\n55899 57639\n1543 99502\n16679 24016\n48017 97915\n63410 68814\n56148 95649\n53702 66277\n37297 37997\n5935 70530\n14954 38716\n50459 56822\n14172 28256\n54563 83398\n60491 88172\n8614 40250\n54239 98533\n3882 68852\n1287 86087\n63937 78602\n6469 44747\n28287 95054\n14226 70494\n7065 41057\n26143 36733\n9061 56794\n14028 76110\n7527 66963\n18477 76243\n24599 52933\n9874 47291\n10003 47802\n53682 97868\n9455 97224\n26838 98921\n79295 85203\n17927 84535\n43104 97281\n44213 47722\n57069 92502\n2335 42872\n38838 49028\n17211 58815\n24520 77345\n39942 42489\n69661 90992\n34056 44800\n23406 24709\n39427 88269\n2297 94826\n2048 55350\n64493 86284\n22152 66192\n30755 50895\n22047 91239\n791 79780\n16088 30440\n15974 50905\n64220 83699\n32114 55133\n38606 60309\n19532 20256\n40458 88209\n9258 24941\n40828 60905\n57419 98808\n49578 65839\n70500 85316\n14572 25945\n11686 14847\n12266 15448\n44410 98404\n14546 46805\n65226 94328\n52356 73232\n4269 56226\n20484 55037\n43510 58676\n21082 68131\n62923 77887\n1122 84235\n41439 50860\n50090 91548\n55749 58206\n48084 88577\n1278 30747\n3750 94805\n31640 55195\n6936 45705\n80202 94591\n859 59072\n69061 94466\n3696 58835\n11402 80273\n42754 45050\n55623 91464\n17786 71898\n4740 10265\n27104 88928\n11997 77692\n10498 89176\n2242 81193\n22187 69547\n47607 64645\n53272 76788\n1984 18461\n1306 14024\n83636 96013\n54039 82824\n17513 88901\n73073 83617\n9303 88242\n47550 84763\n22697 34995\n54720 99544\n3203 24931\n71167 99808\n12435 70400\n43634 80923\n13838 88271\n30298 73999\n11615 84863\n43689 58033\n48032 69622\n25108 47984\n30698 69883\n36271 41599\n28273 53183\n41697 48850\n5881 30713\n58612 66435\n8563 80975\n43021 80459\n49543 76616\n55093 68776\n29389 92285\n14338 36694\n39752 88137\n20468 96672\n18982 98369\n32070 47032\n59062 75064\n50323 69348\n37288 94242\n2538 10080\n46597 94296\n45010 72878\n17401 34756\n67235 78882\n59148 84865\n77310 79075\n33264 38432\n2265 65360\n12298 95646\n61402 88267\n10573 15731\n41850 55626\n52196 84245\n68504 93897\n38258 95397\n13925 86588\n20482 43210\n14655 44778\n42686 76002\n33197 93342\n31722 82395\n57166 75096\n55913 93569\n10979 66075\n28674 95476\n9458 21447\n61336 77034\n7461 84755\n59281 92286\n54772 91023\n8222 76455\n38267 56454\n45846 49171\n64825 81316\n34172 50233\n45157 68572\n49258 70695\n9606 34721\n10051 24338\n53829 73378\n7403 30440\n14883 85272\n58812 65314\n22756 27131\n45870 49633\n62300 75370\n17234 22088\n11282 84285\n57405 84683\n63908 71526\n91019 98159\n3678 46516\n4327 85314\n12715 61688\n24121 33002\n26261 39175\n15006 24714\n1328 67316\n29909 84217\n9041 11430\n8138 15048\n12281 82462\n9732 80506\n23054 94762\n4965 40777\n31817 38021\n71529 97387\n26841 80915\n50481 80425\n86846 90128\n54406 87404\n39376 99060\n79762 95043\n22859 28245\n57140 81653\n3936 53268\n43510 85739\n4281 86609\n15557 77202\n176 53616\n8172 22745\n46656 77967\n62267 78736\n35759 94582\n19015 22448\n72769 85336\n17564 28349\n56063 89887\n39868 40844\n33225 84618\n43813 60701\n22356 47073\n45068 59891\n74134 94806\n16326 63405\n8872 84737\n41599 94099\n88382 94993\n58743 89273\n9571 10859\n31335 72651\n71228 93354\n70346 71131\n30047 36070\n20009 95448\n3919 38410\n31382 46386\n22957 93343\n5485 97523\n8338 45629\n53095 84363\n1045 84895\n12494 37264\n3550 61793\n2286 10018\n21117 66758\n15707 98839\n15597 55512\n12040 15431\n85161 95939\n29292 80343\n7334 61880\n38590 84571\n76952 95824\n8053 26838\n14869 15892\n3966 33596\n1915 24167\n78794 80138\n48930 75080\n23896 28658\n22051 23164\n661 30994\n47969 61064\n51832 99271\n48377 62009\n8335 9721\n6147 47583\n30606 81573\n4324 99108\n3812 14502\n6639 7497\n8224 24579\n19231 94969\n24121 54524\n61723 71921\n68376 93861\n37610 99586\n44979 53765\n1691 57363\n63918 89382\n21248 35832\n11130 14901\n19929 90424\n20628 51649\n54384 89481\n83230 88028\n18741 60875\n48924 64751\n78872 92601\n17694 63654\n17176 44547\n41468 85895\n83344 85709\n63705 91622\n5402 36633\n58366 59340\n45240 72117\n31817 37587\n60671 94207\n44016 96099\n27179 80675\n80847 97340\n73970 90494\n29057 91498\n33210 72833\n34257 99489\n24819 62685\n54504 70683\n37400 80297\n58377 92736\n9272 20024\n44073 63419\n41474 82623\n34413 54095\n30557 68535\n27512 67993\n64464 79218\n19477 68735\n57041 96763\n19802 90329\n57848 85278\n14806 57147\n12225 25669\n53848 60531\n18152 84455\n998 92235\n31105 34053\n38471 45915\n39085 76817\n30246 52029\n2514 7813\n19025 89878\n7894 56598\n73159 95964\n16623 42471\n23062 72754\n57829 99624\n2551 71676\n34074 89882\n8693 54689\n27610 49789\n66267 80998\n14057 30934\n5015 43818\n2554 46451\n25004 39998\n55370 77936\n41045 90703\n4449 94155\n70686 99305\n30599 54540\n708 69940\n16661 74357\n4634 27319\n3528 90656\n56450 89983\n61119 98398\n23887 65706\n42691 93982\n50642 65976\n30023 72109\n20592 30012\n63929 66106\n8150 63316\n26463 36444\n13424 72441\n39360 58347\n19664 77516\n18582 41718\n65428 89144\n21464 72165\n60252 75900\n5799 6889\n85058 90244\n34253 54000\n28918 42798\n22318 56858\n20419 34832\n74701 96159\n63876 87684\n53427 78027\n35370 49269\n66683 84739\n29485 89523\n21772 54512\n72308 82056\n22366 91598\n7930 34735\n235 31298\n9774 24819\n12411 42693\n76633 76816\n850 9530\n22743 45252\n58755 68173\n25787 42241\n70152 71503\n3010 96949\n11604 14494\n56696 90678\n8759 82467\n3339 8440\n73294 74334\n59773 71358\n65272 80093\n44827 75088\n57614 98217\n45503 82633\n37478 68942\n59170 96570\n20321 30731\n36239 43801\n35649 97408\n49724 96743\n26148 49852\n5630 40151\n78240 91530\n11583 42904\n26686 36325\n25012 34452\n42310 77016\n17628 96492\n37972 86240\n49444 99919\n4303 56528\n61401 98268\n7303 87523\n39585 81194\n57928 74493\n9933 36573\n23558 79501\n52934 98704\n58660 94820\n39808 84358\n68721 92958\n8702 11426\n32017 59575\n58703 81733\n40968 90233\n38630 59483\n44018 71621\n24844 51556\n29366 49681\n16752 43868\n7574 40649\n58340 95323\n27979 47186\n59358 77289\n14933 29375\n76138 77157\n4249 69779\n2922 60362\n4840 16914\n19655 86308\n54861 84816\n40940 74906\n10529 58274\n20116 47127\n76065 80636\n33413 53118\n548 36400\n29279 67498\n11168 60327\n3501 19829\n43020 75397\n25533 88262\n20317 98893\n16303 79885\n7238 54930\n46028 81496\n3160 41745\n48565 60328\n51227 87403\n75816 87450\n54084 70411\n34406 84406\n51354 57422\n26116 92075\n6878 60605\n8108 76431\n36610 79193\n8465 32966\n9488 53703\n8498 33153\n79702 80571\n907 62274\n20537 64437\n39473 81621\n56000 79498\n32559 50045\n20780 77778\n77966 96670\n80744 84538\n14739 92798\n4422 78767\n623 7049\n16929 29884\n8527 58699\n12698 53732\n51651 52211\n75241 77989\n42060 98305\n32153 72031\n20075 66013\n75538 89275\n15927 92901\n73923 95541\n38940 90053\n39281 94699\n31291 45882\n3077 49895\n67420 90213\n58030 63603\n1171 73019\n73650 83759\n37592 50246\n5614 10292\n23605 46526\n40187 80983\n43223 65421\n48675 61554\n41274 45147\n59402 65045\n61362 71685\n55348 64024\n20616 51068\n55206 88828\n4787 41462\n44740 70628\n29053 45117\n48550 98907\n14230 48518\n23092 54781\n58629 94724\n10185 40673\n49296 87428\n24580 74340\n30782 31091\n48419 60467\n41085 53442\n52352 98675\n13038 48230\n31649 65900\n26306 59151\n53837 61326\n20867 21134\n31415 47237\n13854 27390\n48831 68183\n4500 24455\n39518 70921\n22055 84457\n13814 33022\n67577 82267\n76526 89905\n9251 17014\n16683 71721\n53697 85298\n11834 84812\n1477 64627\n3021 60283\n170 45435\n15385 75818\n63139 66238\n11563 84374\n39635 40255\n19881 88568\n27942 63448\n63543 67525\n532 84792\n27787 72335\n14872 31270\n24989 45846\n27143 44152\n21257 33724\n39651 69137\n22675 75507\n42770 69945\n8520 73218\n12685 62897\n36868 71932\n9103 88779\n82189 99361\n75476 94869\n34173 74829\n35366 72458\n66097 96912\n5781 25293\n74898 96457\n56565 78669\n27239 94053\n7432 68839\n49455 76042\n22259 78374\n52419 87451\n43329 56414\n37932 83513\n30894 52740\n77918 94836\n64203 76994\n36612 84882\n40594 89943\n93603 99933\n22008 73695\n27523 49970\n83577 84827\n9816 28692\n23456 94495\n13291 36241\n80915 85532\n41079 94021\n49096 75487\n41441 57327\n48836 84238\n3868 97511\n22369 37612\n51271 68539\n2250 22116\n54787 65222\n43435 81105\n19954 79856\n8462 14754\n10947 82176\n9276 77754\n63345 91952\n39262 49740\n30594 86452\n8011 36181\n22926 36733\n36873 43730\n4023 15894\n6607 59142\n84161 89687\n33730 57848\n9860 41187\n12788 66720\n54504 88127\n32744 38959\n7841 88701\n29152 62974\n12428 91276\n32067 89284\n31393 49276\n43159 45341\n44455 52808\n29096 96746\n45377 97985\n5043 25894\n8657 51268\n1812 95325\n47337 64662\n7107 33005\n21557 80643\n24893 38113\n15015 76537\n29716 48836\n48077 97577\n13592 41986\n14118 85591\n62422 73363\n47525 98981\n9637 47464\n91511 93720\n62185 66592\n8504 44352\n18038 24597\n22369 76841\n8119 94863\n33954 34008\n72412 78410\n21451 82731\n6253 94995\n7523 93343\n57262 93749\n40918 61367\n36744 44056\n10245 97673\n54934 66611\n29286 66618\n79608 99202\n78244 85019\n7578 19969\n39870 80765\n55371 70073\n9474 25569\n23737 85136\n82910 94173\n11763 64050\n10495 59909\n17870 68880\n24899 91887\n24607 70758\n58233 87022\n77663 81751\n79722 80184\n26982 78797\n101 45486\n69573 80882\n39574 96307\n16540 85002\n8227 46608\n69195 77936\n23350 48885\n22448 38952\n31036 56282\n35799 56452\n50991 56092\n33423 77885\n56289 76292\n53806 72250\n72470 83256\n54584 77249\n49090 78364\n17849 32372\n11894 22826\n27758 74866\n20546 29357\n56756 59113\n20699 62528\n54823 64587\n7743 84755\n48606 92820\n81880 84306\n10201 19732\n70187 71582\n56532 73859\n30631 56622\n11 86708\n22796 87842\n63954 97652\n16855 22128\n11359 45088\n79237 84773\n8170 54997\n51984 91910\n35567 68598\n29453 69737\n2640 17394\n21545 33134\n9832 24949\n63354 73012\n17749 52970\n44158 84047\n17989 58188\n3945 6728\n15880 72167\n26407 74518\n60712 93958\n29450 80423\n6104 47321\n71555 88035\n12226 87915\n7480 83655\n25082 93825\n6339 88411\n19420 19445\n45744 90771\n15893 55286\n10230 37410\n17932 86789\n6847 83635\n6560 66117\n64586 67083\n12256 70192\n20703 42026\n27874 53724\n7125 10582\n30892 89587\n70836 73527\n17025 26269\n45537 75187\n55691 88633\n22787 88004\n15033 71708\n3061 45901\n19211 66945\n79156 92510\n16282 59776\n5199 11144\n18147 76550\n433 79073\n19362 95585\n84023 87270\n20247 72377\n47724 75100\n36811 96381\n31847 92398\n15627 26712\n18872 74730\n15451 39939\n48797 94015\n25929 54817\n30165 50991\n8457 15971\n22069 34553\n990 64252\n27036 65640\n3286 54945\n22587 50630\n70608 91143\n46405 60022\n3388 68475\n19833 90285\n26759 63847\n61182 66195\n49673 55034\n57186 69677\n30517 43201\n48652 76359\n42394 58496\n15078 73882\n11551 51484\n1703 36467\n25479 55301\n15766 70574\n17436 96124\n694 54009\n24213 66179\n8532 86027\n24607 91250\n25384 70701\n31690 58942\n33736 35533\n38073 63141\n29207 73581\n9429 90461\n48859 59490\n24184 69638\n14388 16968\n699 1653\n71647 80077\n48405 80664\n14246 35890\n12128 53991\n56964 71800\n46753 64463\n9658 43236\n58811 83889\n47275 72513\n13937 81886\n14342 98442\n83704 88222\n44316 59053\n31788 57040\n10587 43989\n54390 78196\n38868 38887\n25090 71038\n4325 60041\n25224 79919\n60291 82047\n31365 34581\n66733 88444\n3631 5580\n3495 41735\n38974 87829\n21901 42312\n64027 69775\n22967 56126\n57208 84420\n4168 23323\n4454 38270\n686 66315\n41491 62634\n56923 83400\n3831 36407\n8002 32308\n39346 88234\n20473 38986\n82482 86544\n10878 78973\n49970 53320\n9055 30178\n14390 97532\n33189 50258\n39735 62501\n80373 94806\n41990 54913\n64354 93688\n76007 96943\n49617 99331\n68562 79755\n71776 71912\n11592 26890\n39404 46109\n2571 63177\n3826 75331\n57641 59219\n47217 80254\n7988 29398\n16436 49985\n5243 46644\n42072 64445\n56592 62510\n53234 89180\n29573 45160\n81626 82137\n55678 78665\n31956 53840\n14298 87064\n87650 97422\n60696 61033\n28990 80013\n27827 57353\n47659 95537\n92251 93921\n62596 84521\n48728 95467\n3859 15256\n14623 19518\n38288 72223\n18191 18805\n7935 39259\n27420 74363\n52375 75332\n10472 75617\n31836 77715\n1911 2641\n75560 98908\n17803 38020\n10730 83402\n32443 60797\n28995 87002\n8240 39349\n9096 49026\n26342 44896\n18288 64462\n15589 91536\n64422 92329\n6575 61554\n12664 92176\n14363 93214\n76524 86288\n40951 48855\n65625 69444\n6277 32767\n5970 9493\n36793 66864\n70325 97687\n26113 45218\n37218 67681\n12989 65022\n70631 90690\n37082 89067\n17109 87767\n954 47405\n50860 85335\n60288 64990\n6699 25356\n95673 98059\n68560 84758\n16270 90189\n74363 92966\n33864 97050\n47235 70170\n12313 82581\n1091 20731\n49488 60777\n29271 41221\n12966 70068\n74695 97741\n9875 24030\n28434 90552\n29154 69163\n364 43883\n14523 46549\n19336 24329\n20354 53264\n23095 32621\n13873 75354\n2297 14618\n19171 42048\n11258 83224\n41690 71486\n73531 90531\n13292 87837\n24322 74874\n3045 35364\n58098 83517\n20615 67386\n43828 89528\n82441 93465\n78398 79608\n20797 63087\n22044 65407\n48414 48795\n12184 80334\n70640 72375\n27542 70638\n52933 55523\n57657 87752\n28015 70337\n43894 48605\n23756 26061\n16706 85631\n68047 78483\n1386 21425\n52361 89231\n14469 67854\n88787 93980\n11590 27878\n29450 63555\n65033 68486\n27720 99022\n77017 80517\n38505 97752\n22517 38992\n25995 51929\n7984 59551\n13127 90111\n5005 55383\n67973 79440\n22209 29919\n27736 42047\n33820 48727\n53661 94984\n15582 55640\n2231 56005\n41382 92404\n4103 6825\n22048 76482\n27040 61138\n50086 72860\n2548 60646\n29054 96256\n60771 68786\n25855 29747\n20285 33208\n8966 22740\n81777 98613\n52713 59159\n2178 45099\n15126 17883\n21645 24290\n29605 35174\n44225 80546\n13298 98962\n74009 86109\n30535 81643\n31309 80377\n1425 97563\n52181 55766\n44722 94103\n23705 49452\n9282 53817\n26208 84346\n84890 88747\n31841 47715\n74059 82591\n34801 89691\n35292 51234\n8729 24211\n21069 65183\n78721 82085\n15427 25577\n4228 11274\n19338 85721\n35253 46829\n40985 47389\n18692 90096\n75088 77302\n18312 94676\n2318 99115\n51223 72450\n31650 48296\n32269 53732\n18871 31255\n33507 44288\n22966 44703\n49946 79711\n71571 73409\n65365 78668\n30297 89330\n50067 52768\n29859 77302\n59520 60281\n45254 83575\n23821 87946\n22994 40168\n2590 7444\n76441 82195\n34654 59887\n36366 58768\n67064 70859\n18411 31639\n35926 71023\n63068 85693\n22339 70718\n1239 38784\n55018 67241\n49127 59512\n47988 71261\n52856 74028\n27753 44744\n22340 47350\n606 80695\n29067 61837\n76677 77389\n25100 98484\n24766 68200\n13293 66896\n18628 45358\n19452 24479\n75815 84337\n25172 96017\n8480 76318\n74961 76740\n24170 43643\n339 20601\n17461 99632\n78090 81915\n36442 69575\n38443 84700\n1184 14086\n16210 38542\n50462 89103\n35636 94448\n8727 48441\n4724 30625\n31249 85865\n7002 95953\n30839 57726\n32237 99426\n15811 95129\n90477 99682\n10500 64703\n53242 92617\n13071 42202\n26839 88512\n46747 87134\n22108 59795\n27922 31455\n13386 82359\n42103 74582\n83224 98525\n24502 81959\n39180 74760\n35585 97014\n29186 32770\n24823 48222\n22398 78145\n16508 22731\n7458 17716\n74708 77259\n14134 76820\n69107 87346\n67853 87959\n41658 52722\n11944 22408\n64742 81901\n86942 96076\n7202 46171\n26234 73458\n46722 48561\n18971 50420\n18918 78791\n61527 82574\n9558 29004\n3038 26282\n70541 84578\n53540 97738\n17470 76270\n1198 56693\n42770 96904\n29863 43771\n28282 90342\n67161 73194\n28399 72550\n9229 40468\n56527 67019\n30001 40202\n11589 18936\n10463 51363\n2404 34624\n24843 46115\n21638 96929\n20835 73970\n37410 47951\n82782 97803\n4900 65175\n14006 21571\n39726 69506\n38664 78106\n52909 81538\n2962 84427\n19232 82781\n44241 84813\n17625 77688\n79435 93502\n86138 86816\n97155 98984\n14223 42434\n20421 60297\n27084 72257\n8125 46460\n22318 99123\n24552 75007\n78330 81757\n32570 94985\n57604 98668\n1386 25548\n43561 95148\n47575 86367\n80870 98931\n39998 91523\n45048 93502\n37869 48014\n15591 33375\n42187 66767\n68240 90062\n2772 56721\n15246 32415\n29682 51341\n30576 62098\n38466 90268\n48007 52057\n49630 91584\n6342 39743\n57373 91648\n27123 42240\n69929 78037\n16161 93416\n30919 48878\n56381 94220\n3831 13982\n2362 33613\n46743 66450\n9066 44791\n21990 80451\n17331 39400\n21928 80979\n8756 9293\n9702 17683\n17187 32697\n62935 84225\n8140 18828\n29871 80338\n62264 75066\n28674 87875\n36265 71790\n34374 83403\n25272 48487\n58110 87286\n62898 82586\n35709 76208\n6327 15782\n63949 73170\n41895 52112\n11155 32814\n49385 92060\n20440 26648\n7182 50501\n36393 49350\n84378 88351\n12048 29497\n99349 99806\n48798 98297\n9504 23394\n17994 85862\n65403 87810\n8770 18918\n53574 58930\n4747 42571\n95382 99575\n44082 86703\n62572 92802\n31268 68125\n11932 94799\n25285 85599\n12879 76506\n15609 81048\n16966 61221\n18289 41690\n2006 62092\n60349 82821\n71806 76361\n1065 85779\n12215 93345\n25184 59730\n51979 71203\n56216 89177\n27867 38607\n16451 45887\n18730 22973\n52589 68355\n14865 82779\n5804 55824\n10375 89753\n7768 43504\n29350 38313\n19693 39669\n37613 44807\n26622 86577\n23509 94500\n3765 17183\n46726 96735\n11387 32232\n12989 92157\n33159 99825\n6548 94248\n18106 45441\n95516 99764\n13727 59914\n77544 98124\n49072 84007\n21010 70201\n51531 53860\n82401 84744\n17882 94455\n30771 60792\n94114 99851\n13523 50330\n46967 84196\n51151 91572\n61663 69317\n58369 87759\n2280 60863\n5902 71779\n4960 64068\n11032 52070\n29741 38739\n57923 93140\n2253 34767\n27010 30043\n54227 57520\n18319 44846\n6343 70307\n72438 76743\n71505 81178\n21251 91664\n7112 83431\n1615 45801\n61158 81210\n3516 84412\n44607 95964\n40716 63136\n19566 82254\n65060 75765\n21466 40188\n9560 64134\n19305 72606\n42205 59678\n2028 80006\n48233 86006\n64762 69798\n40319 56299\n54646 81695\n6311 74032\n74024 94709\n48465 70059\n81106 94556\n39175 81462\n22343 56739\n15648 36566\n26699 30452\n39452 73199\n24635 93646\n537 70817\n3846 21044\n20651 97658\n6986 37844\n53875 97196\n20183 25283\n10992 55547\n19313 68538\n53274 82437\n77630 86613\n17115 21545\n45796 65332\n70191 76502\n46588 72465\n65670 73688\n12636 26960\n16878 20817\n65008 84809\n13784 68730\n10764 27918\n410 5235\n79777 83924\n4167 53884\n36482 44122\n15311 94571\n10756 69318\n5614 62283\n5730 55110\n21382 32283\n46591 57586\n85087 94078\n14615 47498\n3806 48635\n5558 97622\n8055 67094\n2064 79961\n9604 15018\n45352 72213\n7235 59858\n23754 53782\n23992 52851\n15906 22539\n55219 75516\n13412 26414\n3526 93114\n27981 53165\n58844 74573\n6617 72367\n10706 80190\n10915 86669\n72729 78326\n46980 53880\n77896 95091\n16847 65057\n10249 31110\n27204 55385\n82846 96619\n40435 84077\n51159 97338\n32688 40388\n64358 95904\n64751 92379\n46750 75033\n40549 64542\n11954 18017\n59664 92575\n48337 61056\n32447 84438\n72450 88564\n17474 89845\n6813 38700\n53246 65947\n9024 71123\n29368 63456\n38970 96251\n38400 40082\n3929 29451\n64526 67110\n85003 98098\n47037 53478\n945 38317\n2958 7494\n13020 65093\n38637 56904\n5625 69129\n46501 76241\n3716 19201\n86217 92002\n14089 61701\n29082 90160\n63567 65814\n52199 70720\n35693 69664\n12269 98615\n18554 25240\n38022 77773\n4356 79595\n16678 43280\n20221 89903\n10883 87823\n36094 57147\n76956 90157\n17230 47927\n32433 91152\n40395 45580\n91541 92378\n6989 79313\n76663 84948\n81590 98938\n75978 83970\n35508 36655\n62349 70544\n66867 71224\n23883 52355\n84893 92672\n3699 64712\n56063 71106\n21137 83032\n53647 64956\n28667 92182\n38951 39442\n12273 51698\n52355 73626\n36723 39085\n42640 94262\n16737 71173\n62918 74482\n52368 71859\n31810 66156\n87440 90700\n33855 51217\n22232 39621\n44281 54941\n49720 80042\n38192 48399\n8075 47714\n8367 25792\n28344 99125\n36515 85578\n7470 96931\n25892 81798\n77801 94414\n44595 91416\n20977 27908\n48773 90504\n93652 96984\n31305 74710\n39276 57247\n3692 90414\n14491 65482\n28339 98653\n27724 79993\n62975 64049\n62604 95465\n13768 46565\n18940 40217\n11918 38016\n50311 59088\n2029 70201\n51969 82354\n66875 99354\n42260 44931\n53622 83237\n49723 50823\n40012 90052\n59653 83556\n30065 93657\n15815 89883\n4021 87110\n77708 92563\n47576 70646\n77215 88949\n18382 67088\n39823 45020\n74688 87134\n31918 78280\n48913 83430\n8510 77188\n31994 49330\n61356 93271\n54633 78093\n34254 51145\n48020 74853\n55861 66513\n18740 89590\n15451 51029\n60614 76770\n30739 92796\n5834 65988\n63286 72207\n83890 88146\n10065 18743\n5593 27194\n25886 80533\n8155 49480\n32 96858\n17993 86691\n19583 24506\n73272 76608\n25895 54465\n13683 53523\n42354 99873\n55136 62996\n35116 79158\n8996 81666\n49254 69447\n39694 52025\n20808 70746\n16843 25200\n64518 75456\n52494 85671\n37376 91239\n42739 78464\n45587 79688\n31646 35838\n52827 91702\n35313 53083\n26809 97499\n61219 76774\n44770 71460\n29900 59929\n32907 56272\n67244 91621\n1909 72553\n16950 30005\n3216 78374\n77915 84648\n6522 81359\n106 70128\n70896 95192\n9080 41068\n49841 74968\n5342 8387\n65601 94423\n22829 87925\n57137 60655\n17346 75181\n1531 74187\n12762 20411\n69230 90637\n19512 66877\n40909 91747\n54244 60089\n38291 66059\n40861 41695\n53728 89665\n19271 90140\n21933 27853\n3447 6690\n28674 83015\n34970 47528\n3708 33806\n21583 68895\n47601 79264\n24416 64270\n5607 37099\n19014 35829\n20124 63143\n50776 56564\n51990 64848\n44735 65435\n36164 56034\n69404 84385\n24120 61495\n63513 88733\n52203 75246\n22183 75801\n59917 92311\n70408 83602\n20301 24853\n17431 27351\n74120 96277\n17977 63224\n5853 80950\n47175 59647\n34971 87315\n78663 86003\n93012 98544\n6073 61877\n38354 48181\n33621 80241\n12052 26824\n55712 69969\n22705 97000\n63523 77542\n38689 53309\n15350 65551\n71082 84006\n41976 85885\n44528 97907\n24295 89942\n1719 14253\n9171 74807\n12497 14531\n8400 26143\n40849 77705\n44583 79782\n2888 76390\n7504 16971\n59920 90492\n37198 75350\n31933 73041\n33842 97414\n23406 93414\n19541 78770\n10001 29033\n8056 42158\n22654 49190\n14132 53589\n13543 13580\n50455 95178\n56920 73439\n15042 51177\n62814 73673\n77507 78982\n7121 28700\n63692 70230\n60047 68067\n77313 85227\n39150 43943\n6592 75691\n9187 44866\n17458 94238\n8123 60354\n69784 96771\n4710 35709\n16476 62166\n50098 76464\n55473 76267\n46341 85655\n16801 76771\n20548 84434\n55831 93710\n17590 44893\n39648 74150\n13 80257\n54468 84718\n50591 91556\n43333 75316\n7152 35340\n65261 73385\n10894 21732\n44068 45675\n23303 83700\n46466 60100\n38776 39527\n31176 93776\n29453 38179\n64629 82348\n4739 5652\n12149 34409\n61891 75142\n24983 89643\n26471 81872\n56629 83779\n26686 71489\n22469 36797\n67113 79341\n23223 47897\n22048 83197\n25308 66823\n39425 72788\n10856 77506\n35845 60999\n21985 75124\n13008 74553\n17711 22835\n65099 78400\n15867 22514\n78685 80910\n88199 90181\n15150 76285\n86096 95430\n59241 76057\n50123 61729\n4921 28583\n5676 55989\n57046 61767\n37652 63991\n32215 95911\n78243 87389\n1157 48463\n62961 98247\n24 61764\n8660 75375\n55256 75513\n58172 62894\n25913 55881\n8014 21180\n71892 73555\n87633 92643\n13689 44811\n1838 39614\n10875 82349\n26327 81249\n36649 91241\n23011 78195\n10082 81219\n70045 79422\n60668 76249\n63406 65722\n17652 71779\n74684 90758\n23457 32603\n14423 99438\n7490 71242\n3016 35614\n8698 14612\n1261 7080\n39376 53382\n19396 42578\n18515 20385\n51233 99813\n84048 95218\n38603 93957\n10083 51000\n88023 92589\n14732 15138\n37791 77426\n18719 26001\n35629 57736\n22854 39244\n14583 38100\n15565 89358\n25489 45662\n66100 97441\n21096 98688\n17665 85055\n21981 82638\n1346 65286\n9384 84382\n34020 77507\n53657 60696\n67974 69080\n45668 95448\n19725 39263\n46405 84909\n8027 57243\n58896 70246\n96167 97307\n78787 93649\n77476 98238\n28537 39208\n76846 84079\n22941 48219\n60335 86673\n15904 40610\n4861 81879\n11042 14028\n58901 69828\n44484 46115\n28244 69883\n34948 44335\n8837 13702\n31004 35893\n5726 69459\n23130 37744\n48709 62545\n23851 53648\n60161 99067\n19196 77637\n70500 91344\n12790 32291\n19618 63652\n7646 69860\n4421 66797\n24812 35069\n40969 86212\n42359 84960\n30637 50006\n7495 81480\n2488 10077\n89300 97387\n26604 96924\n62729 66675\n12274 26706\n19816 21007\n60582 82816\n64307 93014\n28773 50120\n87368 90620\n76591 76806\n72754 92208\n45870 57048\n28850 45431\n10174 82234\n38044 85398\n31859 45160\n35713 94201\n30326 98555\n78624 85891\n46348 64408\n5750 90390\n46034 92778\n19745 75646\n57478 73830\n69735 95159\n19942 53766\n16142 77670\n5029 23776\n18006 57329\n19173 52307\n21625 63236\n41797 58617\n65805 67976\n18665 81098\n11046 81536\n30639 40592\n51669 52135\n56830 78501\n9432 99947\n9552 86555\n18463 60959\n54475 58644\n65863 92562\n14090 73950\n84188 93266\n11981 37007\n7696 13432\n16023 96472\n18638 42630\n103 76607\n52884 56327\n72543 95005\n8642 75357\n44587 50263\n13818 78621\n37506 61882\n87243 93102\n33619 45440\n3022 89772\n6037 87506\n1683 86212\n18617 88286\n25513 88266\n5046 22810\n32487 43821\n13230 40523\n21097 97526\n15901 35725\n2748 63252\n65672 71905\n22477 36256\n55806 69175\n2817 3189\n22396 98715\n43864 52005\n17038 62276\n50368 74347\n23870 65049\n74061 80255\n43777 47861\n10393 63231\n10924 67175\n22296 43320\n45002 83043\n3570 5257\n64729 85983\n85703 98185\n34051 90254\n26427 33132\n60735 77850\n21588 48299\n7391 19326\n59580 76574\n69973 75119\n71387 72453\n31500 75703\n52344 74714\n35127 59047\n43895 51954\n33135 65695\n10500 11610\n44363 62464\n93273 94187\n1648 90720\n5290 15837\n42407 73266\n18359 77706\n24732 56591\n8036 8302\n42680 58205\n17686 67512\n39810 73458\n70024 82348\n28772 85135\n22768 31934\n24050 66672\n14935 53930\n41556 47931\n38312 62530\n27615 50809\n15260 39097\n9064 66687\n74450 90531\n35803 79530\n20924 67330\n24196 85897\n43170 64186\n92983 95816\n77015 99496\n64436 90375\n35182 74254\n13037 50642\n48915 60677\n6433 82631\n34357 91367\n45434 91294\n79217 97528\n50584 57569\n45561 53691\n25488 54178\n43550 55474\n20428 22027\n4115 97612\n29561 53837\n35184 89679\n7382 76065\n32851 46810\n13588 80418\n42908 54518\n39742 42674\n15911 26663\n2527 13820\n34797 85149\n4809 56394\n21767 28458\n4659 25851\n18389 39132\n66327 78015\n4645 29548\n48489 64434\n296 89361\n34404 45945\n55242 71771\n10678 97554\n27575 58060\n38399 83902\n41951 71879\n48777 97558\n75210 97627\n16363 21731\n24292 50143\n58825 87367\n60729 71898\n67381 87887\n7972 31123\n21305 28106\n951 32508\n83549 84794\n10846 19249\n25506 28073\n46405 99823\n31595 53387\n24091 67750\n60280 83677\n19814 68652\n907 92446\n45903 85159\n90953 92587\n12981 92911\n1361 24331\n6186 69592\n73725 98740\n27134 62059\n16537 31476\n5149 95822\n24891 41664\n45619 84210\n54106 54200\n55642 69722\n25678 35812\n12800 58410\n93639 94753\n55379 69098\n20691 21809\n34904 59537\n33836 99517\n25114 70361\n47259 62003\n14907 63322\n34531 83703\n39490 75602\n292 47272\n12304 52721\n70799 96681\n47084 86969\n89899 93581\n75143 79149\n61770 81199\n15676 16610\n80789 88525\n68278 79941\n51615 77219\n55144 79361\n63157 96011\n30376 52917\n40256 83140\n74914 82290\n14811 33248\n68266 74229\n57254 78729\n10271 24104\n11874 91015\n40714 57162\n34402 52633\n1803 45098\n23767 54079\n46367 68689\n48946 74026\n9620 31816\n26521 73721\n57002 77345\n57849 69418\n37249 58888\n40890 46149\n2811 87875\n61352 90185\n372 25487\n29949 46744\n39791 41577\n31245 33005\n18166 20773\n42263 86254\n51713 70102\n25806 52191\n44364 78010\n16918 69576\n57518 72250\n9864 22470\n33376 50824\n44124 61022\n59948 80934\n22744 50515\n12443 30053\n71263 90502\n67775 80361\n15132 25206\n29447 72942\n13243 79978\n31237 49802\n24992 98606\n83549 94776\n19309 72256\n24284 25877\n93633 99466\n23256 53449\n17096 19220\n73450 86458\n77274 80463\n1603 53694\n35636 44852\n38425 82916\n4373 28313\n34851 35002\n88239 90364\n48074 67198\n12671 36757\n26160 59032\n25965 96770\n10755 62407\n41642 46627\n17411 26207\n7637 65125\n30620 38661\n58887 79942\n4122 38796\n55180 83991\n61213 66081\n32408 84400\n22501 29852\n8962 79471\n5480 7512\n57023 82846\n19301 81519\n50957 87816\n8805 71579\n11305 40965\n988 91249\n16780 80606\n41607 75789\n47561 99319\n69771 89061\n44617 73162\n48334 79113\n17588 33489\n71773 97339\n13054 93672\n50374 66385\n14661 26706\n23810 79550\n5008 38295\n10252 41469\n8801 57981\n69973 71814\n33232 62328\n73054 91582\n19166 61020\n18748 25260\n49289 72351\n43524 57906\n16896 49373\n22237 35382\n63386 85273\n22287 65260\n22910 64545\n42706 58658\n5527 65400\n8867 92105\n55874 65954\n65472 69959\n53937 81208\n42065 69000\n3630 17462\n8078 9045\n2298 50086\n11311 37811\n4403 52583\n44669 68595\n18662 59512\n71346 82296\n31918 76299\n8656 27101\n55845 62082\n28249 33916\n28308 88837\n58282 65618\n6701 49411\n26885 89387\n7224 72694\n52007 78671\n33973 65585\n19168 25644\n46670 85261\n78983 94033\n10284 98693\n17672 75846\n53288 57106\n5954 20773\n31275 61118\n88889 96846\n30440 44646\n1820 10754\n33444 78680\n4690 63328\n36901 82017\n11905 29295\n28597 80812\n52622 84713\n18911 51835\n47384 57613\n81045 91978\n38766 49217\n9007 24790\n62170 98627\n56986 66621\n52102 99021\n63966 74646\n35456 75054\n47339 49234\n21502 73311\n61605 84691\n20124 29469\n34648 65222\n64017 75225\n51697 82458\n5970 93945\n11357 90841\n80474 82725\n379 15688\n32752 41717\n78301 93820\n874 47417\n39362 90664\n87635 99469\n25392 50616\n66315 77814\n3844 89161\n46310 75121\n15641 80471\n16007 44777\n64100 97879\n43999 74364\n59529 82089\n23511 85536\n11102 29706\n21959 77472\n37367 64430\n4078 91756\n62180 73489\n18422 26214\n5053 85059\n40797 47416\n10764 21448\n28664 52707\n22117 29820\n76661 89001\n29688 78124\n7308 66601\n39008 45629\n48074 94873\n12274 36803\n3031 38971\n26394 46759\n61922 91475\n5588 5768\n61278 88765\n72024 75751\n64761 99222\n56090 83215\n9684 12921\n79375 98368\n69522 76492\n19435 72108\n69990 93640\n10024 90935\n60138 61416\n60622 87814\n17335 70381\n15620 40642\n88923 96550\n6223 98945\n28713 81402\n16560 57515\n18 70786\n73721 93044\n48334 57824\n7311 20816\n7829 13695\n1427 91890\n17224 71298\n49556 94344\n38323 60693\n14974 81024\n59150 60334\n1057 46330\n80052 91414\n73910 82111\n46645 68039\n47191 95531\n22775 61215\n19323 23908\n44184 72370\n14528 76551\n13202 86505\n74075 87979\n72769 79422\n41195 55720\n4542 35098\n15278 58401\n26961 76385\n11361 36127\n58472 84152\n1238 85354\n11682 27679\n5146 55137\n27973 66462\n21301 41942\n21528 54693\n15784 57776\n10498 83805\n48968 89891\n33251 76048\n37614 85633\n65995 68587\n78035 99489\n35603 43747\n59709 92296\n43506 59323\n29581 57214\n21171 71014\n84401 90717\n34884 65985\n71627 92821\n61620 64783\n13449 95349\n28644 49293\n7822 51008\n55171 65043\n4668 53553\n35205 68666\n27667 29717\n58407 71834\n82716 84392\n89728 97031\n12609 19422\n11725 41977\n11604 12646\n54927 97984\n6757 53245\n30790 86309\n9490 67257\n42986 95843\n12852 71850\n10855 94371\n28070 43107\n38095 41515\n90483 94796\n79862 90584\n39965 68207\n25654 29639\n39280 41573\n34790 53611\n29545 30638\n24869 76016\n4096 34578\n31114 47580\n43586 72008\n53421 78190\n62010 65105\n14733 43131\n6988 60882\n54166 68974\n75315 76697\n7782 96541\n10391 32163\n15923 69829\n21183 62947\n44818 86898\n34752 78262\n39733 49507\n46215 65364\n37672 50133\n27227 72498\n34281 36104\n37088 58001\n14111 27291\n14372 20231\n20831 64066\n75746 90369\n37017 87285\n8939 29207\n70650 98720\n18540 74433\n40680 92035\n39319 77343\n49195 77521\n36955 97745\n28390 29808\n20195 72274\n14724 98557\n4300 98647\n16087 99782\n23773 25753\n25669 27553\n1276 88547\n37035 71168\n12452 34319\n30158 49346\n52763 59436\n40189 65191\n21004 50079\n48048 94397\n52760 96036\n33326 49815\n6949 51928\n54080 81853\n9131 73234\n11639 54920\n65502 80566\n30434 35223\n4302 42400\n71480 84754\n27748 89599\n12833 16122\n1904 58483\n66510 94846\n55106 83207\n67356 98960\n86747 90310\n78596 95001\n22752 26657\n50056 52639\n960 69103\n2469 14707\n42310 80128\n4606 77636\n45404 96955\n68983 78766\n38781 77200\n9216 56678\n27777 56310\n28929 83259\n39830 88464\n15592 34695\n42833 80209\n20751 50086\n3754 54528\n19881 59981\n6742 80846\n86608 92027\n22123 60424\n15925 81858\n11708 93599\n24169 50741\n30050 98225\n3213 6219\n7434 87338\n12974 13985\n62648 94262\n59681 68035\n27235 38955\n39402 95529\n26828 31193\n1972 57534\n52222 53816\n8916 78820\n6168 81528\n20901 68320\n59179 93435\n69165 77748\n12792 70776\n6781 84516\n15603 87831\n43786 70003\n35023 92649\n30014 68785\n17734 41998\n52424 64435\n46864 59424\n48275 89015\n39433 92107\n36836 89430\n80488 85324\n12732 62945\n52526 62879\n70063 83231\n61745 66849\n87576 98968\n3709 60327\n51851 81113\n12804 40979\n3850 10065\n21003 67421\n49241 97771\n68713 80337\n82172 97790\n8999 21184\n14678 63788\n18538 91999\n13525 91431\n7894 53281\n43006 55793\n21321 39316\n49787 93053\n30676 60223\n47808 89511\n57368 81434\n42565 57819\n65827 68179\n38702 55617\n13967 67407\n9150 94980\n42472 59755\n66841 69857\n1485 23337\n82094 99699\n64837 93483\n4285 29444\n28815 51006\n64276 84677\n7885 15693\n745 94697\n29217 99859\n4275 95390\n11282 87215\n17356 81908\n42498 63131\n31596 43412\n10092 19595\n68119 83188\n11708 28311\n8367 45776\n68835 83276\n1107 27503\n30339 56501\n17938 99571\n53287 90836\n25971 94605\n11390 91742\n18617 83673\n14378 89586\n23768 58497\n57885 59969\n8066 91036\n22797 86117\n427 33485\n25050 82192\n13288 68594\n50292 54422\n41131 80046\n17730 56476\n58861 77873\n13423 81760\n71076 79603\n15608 55148\n38235 55170\n18699 33767\n33746 91692\n12974 47736\n6076 32743\n47247 73262\n22667 98136\n22417 57119\n35845 77009\n59297 81645\n23265 49755\n9268 27436\n39707 78820\n14406 70781\n32999 49333\n20599 72909\n18943 58397\n4094 82105\n9985 56508\n3795 98945\n39485 91288\n25420 42338\n34280 54894\n4404 28499\n39785 68804\n40772 70650\n34113 92661\n23025 35328\n68079 94017\n41051 41976\n29760 70076\n27819 82735\n14936 91269\n1383 62116\n86722 96619\n91345 93646\n2699 18410\n45058 62328\n89940 90551\n46411 72859\n67430 70737\n15684 93169\n82081 85892\n38912 99094\n45810 97783\n32317 98719\n37290 83331\n1292 46473\n50177 63435\n33345 55330\n14391 44492\n51340 82345\n16160 85255\n45734 52817\n2849 97228\n61802 78569\n10472 23699\n68944 89516\n11450 13544\n12241 23024\n60869 68327\n44432 97010\n71472 88473\n16295 68321\n48950 88059\n10488 11468\n44152 92687\n5364 84631\n74976 78820\n42773 56117\n24268 76276\n10502 46794\n78806 97886\n5408 6189\n60668 83946\n32021 79428\n29512 63592\n12684 32192\n12213 67867\n41633 83073\n2244 39495\n4017 71989\n78450 80934\n28845 91274\n30331 44958\n3707 61419\n49360 54077\n40301 91796\n21989 64013\n80129 86649\n19989 30568\n85902 99421\n29080 92260\n76014 90440\n14866 62107\n28917 54401\n19958 66069\n38209 42131\n30658 66850\n55147 69445\n10024 31213\n25173 75398\n32524 41041\n28877 42613\n15338 78918\n26378 73139\n54457 74386\n22510 99621\n40997 42790\n29032 67061\n21738 82761\n7351 95223\n63135 84862\n47356 47418\n17593 47842\n13512 57236\n59652 73601\n1863 34364\n13952 43534\n9104 30135\n21481 61948\n10010 69480\n16400 53026\n5804 89366\n69776 97649\n43912 79931\n34755 81726\n45627 86272\n79954 99787\n46463 67299\n44594 59319\n69194 87757\n29156 89938\n9766 97680\n39195 67144\n22418 91562\n72432 76998\n1844 8184\n45457 88072\n39577 62778\n2975 23386\n3017 13221\n56944 94069\n45306 92519\n38335 39675\n3865 4971\n44677 98602\n26606 34863\n4805 46536\n50702 98723\n81030 90802\n26004 34680\n34126 43577\n53248 81366\n40498 41238\n36808 75763\n30794 78820\n51747 69048\n53007 82732\n67356 79153\n4517 76135\n34982 94870\n4388 61253\n72343 73573\n65132 91734\n13129 53964\n9409 93076\n26217 35022\n39723 73181\n73684 91930\n97336 98764\n45011 62915\n5987 53842\n3856 34233\n7790 49455\n40184 93809\n34075 47207\n53364 84590\n56799 86629\n1856 27787\n21710 83580\n25479 34397\n51534 58957\n32523 33893\n88629 88761\n27765 28431\n9504 57529\n1729 24991\n49737 71623\n17240 37282\n36722 47101\n37007 38410\n9559 87748\n60506 66957\n67772 81629\n11425 17508\n12573 96151\n17189 65179\n19378 34786\n31662 33489\n57973 91408\n58924 71740\n65683 79631\n35761 83810\n45465 63616\n8789 54442\n5605 83407\n49395 83478\n1510 85850\n5425 97427\n5481 30509\n64463 77669\n29424 30708\n23651 92407\n6745 17088\n59494 64858\n17394 92667\n32894 41473\n15247 81686\n63707 98050\n15913 36728\n66832 91202\n10366 19276\n12945 62554\n16926 87214\n78383 89750\n28696 77450\n42663 68588\n14558 77954\n27143 83595\n31299 94651\n81005 90693\n29330 45135\n15100 73975\n34871 61729\n17431 86879\n47275 49727\n85847 92597\n36984 97420\n67199 71000\n24695 81005\n10987 84099\n570 73769\n6759 92422\n33650 89684\n81461 86048\n6686 59420\n23535 47400\n77033 85890\n35218 66827\n46229 60159\n83799 99152\n6707 77146\n25800 42155\n38974 74841\n32733 60973\n18417 95265\n31121 60890\n39986 66499\n33645 44894\n69860 72283\n28400 88772\n74857 78907\n1474 85178\n6115 54968\n35961 71602\n10479 89170\n46234 70728\n11718 33903\n11353 70045\n41678 79230\n17954 21945\n13952 30182\n31750 40637\n3681 91388\n63692 91393\n62596 66700\n7972 67007\n66085 75212\n86007 89721\n53136 55833\n57851 86201\n44837 66462\n15900 62011\n1667 92024\n40239 41736\n4819 50170\n55832 57165\n39062 43064\n10275 90457\n34155 89141\n13628 28479\n4178 56622\n23523 38865\n3801 28774\n37892 45738\n43468 77871\n40787 74152\n33037 67908\n65071 72559\n35481 54078\n7791 21327\n21610 94240\n54266 66035\n64363 81295\n44215 55796\n37141 95896\n65235 73610\n14856 52660\n49922 86151\n3565 66775\n37403 59505\n38383 95521\n24197 41458\n4493 68300\n45577 70070\n6228 19847\n11536 35016\n5781 81960\n19147 36953\n52623 68393\n21209 90497\n5026 26732\n39165 46235\n86209 95185\n27080 41892\n32463 49935\n6862 73602\n12245 56046\n63654 79674\n77951 83927\n21510 48898\n23643 25722\n44184 88123\n9677 30504\n57295 65599\n31207 65046\n44050 64362\n32518 50469\n15014 22357\n38322 84113\n53049 66166\n22354 71377\n19992 80277\n43908 86889\n38117 47063\n6354 74684\n33870 95910\n23890 61449\n19535 24344\n20962 33169\n5106 40774\n9267 39613\n38586 83103\n28568 53046\n18876 77471\n7017 45641\n48409 96076\n435 9442\n25255 55149\n61576 83296\n17933 28313\n33024 85716\n35199 93673\n73963 87808\n45432 99294\n37017 68037\n30066 74323\n65007 69616\n42526 57276\n58050 66736\n32832 79336\n41435 99603\n20279 44532\n71144 87074\n65615 83061\n11093 37969\n27970 43228\n9654 72335\n7256 69180\n15653 87478\n71016 90025\n6371 23522\n44268 62823\n34589 86790\n2042 9553\n57745 94896\n47641 99098\n18870 79523\n66891 74114\n39221 45385\n15786 55999\n29388 51544\n24458 39296\n48143 92678\n53735 55359\n11647 15785\n53791 69298\n13461 55808\n87125 90698\n33869 90583\n10803 65277\n1902 54544\n3649 44395\n7419 38471\n4677 73687\n3729 12578\n66660 74863\n12527 15373\n15658 72521\n9136 56987\n26662 50216\n21034 72159\n43835 61555\n2009 66194\n5264 49664\n8480 58175\n43792 62968\n33055 70610\n25750 67114\n61173 94844\n18345 31394\n27847 30484\n65362 76924\n38061 38476\n12249 26408\n18703 83562\n15755 25212\n2901 36242\n15394 88106\n80264 97285\n21214 41104\n36676 43617\n13430 14562\n35520 98424\n77246 97096\n24788 39958\n7385 25031\n48231 89490\n20943 95638\n55315 62849\n1148 1969\n108 71784\n11000 34452\n86286 97016\n6306 15510\n37306 54559\n27420 42754\n3287 44405\n4563 35712\n46727 88076\n22168 49798\n19664 82883\n53657 75757\n25014 40039\n10260 46853\n28710 49731\n17231 66904\n14247 93938\n12466 66444\n33750 80845\n75506 91256\n6796 52025\n35653 86991\n179 38372\n36073 96982\n3967 68235\n7620 39253\n19860 36936\n70571 98139\n3227 57969\n2117 22195\n56958 90916\n18130 59112\n79947 98107\n42070 83221\n16748 83251\n61681 74984\n28246 48018\n42080 59052\n20700 86355\n12093 59287\n51196 52202\n80479 93763\n34252 46607\n34294 44243\n52721 88220\n49513 79441\n3456 25956\n24917 45315\n31573 64841\n8303 86708\n22221 83896\n77812 81398\n14425 50625\n42440 90208\n20689 97347\n78531 89367\n14417 31511\n9900 21187\n21410 76847\n74727 93777\n10349 53502\n3072 46009\n63251 96900\n2764 85308\n54828 66399\n23389 95443\n61116 62935\n7561 88926\n53372 67050\n15667 43639\n15952 50545\n32092 82900\n15440 95992\n50973 84051\n45475 85262\n41585 87946\n13529 39647\n22035 96406\n60923 78675\n46986 86327\n67328 95408\n88149 97944\n15554 62046\n78870 98110\n37176 56661\n57848 94260\n23997 56218\n7687 56664\n9096 45974\n22419 80698\n58056 59134\n16514 35942\n6228 98664\n28071 88011\n34802 57938\n38750 88133\n15820 69979\n11387 73894\n46055 76915\n50977 54183\n33635 78635\n58902 77173\n14845 76287\n26419 35339\n63687 79592\n5531 97803\n31853 75670\n27913 59486\n40236 48996\n20263 51196\n4337 60709\n9965 43779\n2599 77549\n6030 21990\n40804 87764\n18046 77798\n8137 90179\n4597 98644\n69121 74319\n20057 39182\n44991 80738\n7769 9231\n3090 55012\n16215 73409\n11952 46002\n58498 86089\n61879 97334\n11772 60755\n36836 37883\n49060 50503\n9757 31126\n17397 43506\n18504 45944\n20313 22978\n44572 91963\n33383 66821\n33507 66738\n30703 74398\n5715 73088\n8056 8657\n76574 88870\n67180 98839\n25526 85575\n309 81806\n3213 72801\n14581 60798\n24273 78975\n22643 90549\n8128 57599\n46745 63862\n4041 21707\n46228 70140\n92533 99032\n94508 96915\n8312 14741\n71322 78357\n80945 96757\n54237 97876\n7877 16904\n13482 32805\n753 58500\n8557 68600\n26138 55823\n76646 98334\n14810 75608\n7840 97989\n25686 48956\n13373 76982\n24234 61109\n29650 87765\n23556 41386\n80537 89143\n9264 34582\n769 79456\n10954 86061\n26212 85180\n7096 8497\n48515 64291\n41234 98387\n9617 97163\n5965 17916\n36915 45199\n46116 98617\n42969 62229\n42131 77052\n53563 84443\n25226 93846\n1128 17035\n35803 88480\n46143 47594\n30651 44640\n62695 73164\n49788 61576\n48545 84480\n28018 64353\n14274 90439\n52855 82025\n21177 22439\n21164 54341\n11450 63575\n2808 19790\n9135 45052\n34940 42517\n23795 29595\n29362 30830\n54917 72055\n5391 46994\n15268 93032\n17179 69529\n22536 61609\n20476 71725\n5390 47096\n790 3377\n11141 87468\n25228 65136\n9169 54631\n14500 91322\n65753 78532\n20479 86137\n43920 73530\n19916 84429\n7311 79848\n32503 99033\n86662 99089\n27783 78553\n43797 86174\n63433 94376\n14083 53362\n74284 92779\n18577 49896\n6712 48308\n4915 95300\n20117 34854\n5879 88480\n37330 96458\n27727 65940\n19748 67160\n24776 42120\n7737 22615\n24065 27927\n67305 92037\n61545 65380\n23430 61376\n4975 26843\n24112 82503\n61007 81057\n83160 84801\n18393 51049\n25560 95627\n68309 92619\n37300 62925\n20680 59902\n73143 85963\n72557 91416\n39625 55025\n3051 16649\n21753 69946\n16741 57095\n2533 58607\n43045 94407\n89769 95988\n50135 54412\n56389 56766\n43960 53406\n29847 86154\n39615 63699\n12802 51549\n63863 84370\n49635 54873\n38217 82169\n30062 34940\n60430 76922\n22846 53899\n18601 41248\n27724 88155\n48724 57983\n26397 43222\n86426 89580\n83983 97221\n40748 64655\n28250 74834\n2008 76305\n85107 90579\n53572 92069\n77496 88073\n24201 85489\n31767 67975\n70181 91122\n75180 77340\n27729 56271\n25226 98861\n664 28493\n48033 96446\n45095 87614\n12265 94306\n8464 51753\n15233 65236\n19870 64518\n20679 71517\n68506 86825\n17232 41545\n44541 63478\n24700 56232\n16249 60075\n37296 83039\n1138 55445\n58565 95952\n48045 57955\n51839 60298\n20564 75986\n69161 93275\n53270 94016\n51009 80177\n40852 62973\n44378 84913\n31388 66691\n53497 88746\n41882 81855\n2814 6480\n6440 99849\n50080 69915\n7398 64268\n35730 49069\n42436 91399\n55693 78039\n38857 44128\n11259 98579\n44233 95780\n63677 80193\n14556 87084\n13503 42816\n10097 71269\n42783 67131\n10554 71967\n3707 71122\n9591 11100\n27392 92575\n32151 32908\n32091 34358\n8204 34093\n11159 17305\n35137 36829\n30707 44929\n5889 53080\n78971 93648\n46297 70172\n14168 83717\n34059 62456\n369 65460\n8502 84542\n38526 58765\n757 94782\n34699 79587\n12803 14471\n28910 99066\n25703 45610\n11484 89790\n81286 97647\n39056 39092\n43983 90296\n74575 80619\n32524 39972\n634 34636\n2171 15628\n34042 73208\n24932 51796\n51469 73907\n2215 88313\n7086 24248\n11186 91040\n36060 70935\n17226 86875\n15812 37689\n11793 20780\n12039 51147\n39497 92854\n60283 82321\n8099 92376\n67100 88364\n5924 82663\n56175 64531\n51178 74853\n43974 96352\n20506 89892\n36393 85844\n11085 71097\n35304 99101\n748 79008\n65545 85741\n17209 51293\n70760 74524\n83505 98021\n34657 99565\n33000 34657\n31567 32754\n15655 36443\n15227 96422\n69019 93268\n19430 65733\n9646 95837\n33233 66260\n76152 98984\n30304 64593\n26912 73599\n37889 72147\n26046 76225\n7647 75271\n535 29825\n40438 87146\n52067 83814\n46380 91600\n15544 37818\n60558 67639\n34370 59009\n29536 31613\n1812 48325\n55274 63023\n29247 43725\n46920 60461\n6420 67162\n14101 17236\n10100 32330\n3444 55051\n6445 9905\n10844 25760\n3094 85520\n12518 14682\n44691 94386\n73448 89609\n32245 69790\n82081 88554\n4990 91387\n53932 57017\n30707 96967\n3342 24601\n84695 92145\n84054 93291\n40547 98733\n43806 76922\n56863 62035\n29695 62862\n8083 50115\n24696 80609\n31711 60647\n17649 73141\n16385 67705\n21403 90224\n45825 88932\n31822 87188\n10064 58734\n76147 77078\n5457 7940\n2599 80012\n12236 16456\n99 56617\n6366 46900\n10835 23268\n54688 79007\n20080 48935\n79144 81942\n31590 42814\n55924 58773\n18279 75275\n60449 76944\n2509 8034\n99223 99891\n51771 57200\n48640 61509\n86773 93118\n20681 41868\n33966 38132\n12640 61396\n4310 74467\n56800 60195\n41742 89373\n35470 85713\n40052 71573\n62479 69119\n72142 97809\n16281 25655\n30070 42305\n82658 94523\n37619 99989\n80671 89792\n45069 72909\n70305 72817\n5289 75978\n13102 33708\n44120 55396\n8562 76026\n16442 47749\n11716 15522\n19219 78732\n65992 81089\n14665 50005\n36194 62509\n9435 82847\n5051 80668\n276 62745\n8603 58382\n1168 64863\n40181 58075\n5428 42878\n19304 98293\n1414 79213\n10806 79634\n53433 64888\n20555 79087\n43595 70840\n11708 39102\n26088 27581\n6285 63148\n3212 27261\n11081 17263\n42745 87394\n2143 76788\n68798 69136\n16999 91007\n8063 55759\n61510 77392\n63377 86616\n59779 71606\n28531 51459\n14013 74713\n71826 77154\n17274 35686\n51761 54326\n63519 71841\n24646 36893\n79510 94693\n81615 93608\n18433 89560\n7268 40138\n9300 13499\n31951 65064\n80987 90606\n11474 22584\n81521 91125\n30157 30908\n11434 75912\n81181 85795\n31895 33621\n49097 63067\n9297 15333\n41318 42384\n5728 50507\n38079 77337\n57542 73573\n63708 79142\n46412 88329\n32009 74020\n45554 73998\n64159 87360\n4458 75497\n27871 27964\n19243 33984\n54346 54756\n23414 97646\n81052 90445\n61776 85186\n6544 61845\n67172 68530\n89766 99030\n31484 83236\n2076 48911\n12558 82601\n93211 95733\n14214 65142\n42104 93434\n69505 94504\n8770 55882\n1157 90205\n55011 56164\n62368 90279\n33168 45085\n20440 35611\n68437 88787\n95214 98232\n78314 93848\n1751 39996\n3335 27166\n4417 9717\n36191 83971\n10810 38614\n42382 64394\n19409 49499\n30404 87371\n29325 49340\n61530 91103\n80472 88587\n3794 93085\n24241 81122\n82245 86510\n14447 29430\n1318 62401\n72665 79230\n38266 97586\n15694 46629\n1295 25723\n33433 43144\n46048 56330\n350 18620\n5633 21510\n47654 86157\n70217 81780\n15230 87638\n22492 57689\n51858 85392\n1903 16693\n22050 22720\n49415 81103\n44626 63119\n53067 99039\n66380 79150\n67414 83217\n50904 84990\n9079 86955\n66593 98088\n14964 65393\n37372 55754\n12262 37488\n44334 64766\n30252 80472\n20372 61726\n9316 96175\n59417 94267\n82196 88383\n30281 60294\n9554 19658\n40314 74308\n10879 64831\n37055 69026\n10123 60996\n29181 35327\n9464 20351\n89029 95943\n21535 62353\n63891 77615\n22657 50430\n51133 72585\n11893 20030\n11829 28856\n72870 77294\n22976 33413\n13955 73369\n58802 63451\n14370 36043\n9552 20594\n42548 95864\n49499 66043\n12249 51447\n23238 89048\n56113 73884\n50614 68650\n23964 57022\n72863 73277\n57595 92879\n28616 87167\n67425 83356\n21616 59845\n83293 98139\n11265 62656\n13540 90947\n24462 95483\n5994 66825\n46193 67231\n68301 73298\n40358 40690\n34771 83241\n9923 91844\n18232 53549\n15987 40550\n51738 56062\n10558 27045\n83109 89703\n15984 37781\n1157 91758\n32114 76563\n28666 79183\n71301 82094\n50066 95673\n11282 86202\n35863 52303\n27241 42136\n16654 40454\n42607 44098\n73852 94081\n2105 58999\n8703 90198\n87451 98004\n84044 95461\n56228 72789\n35154 74937\n57150 93514\n14013 66315\n2654 16012\n13861 67871\n3573 31737\n7400 62471\n17977 37239\n29025 90328\n24346 32735\n16091 21095\n25354 50928\n63664 91433\n1441 95926\n32814 40580\n33772 41141\n11225 96184\n55153 79792\n17876 25015\n13811 32923\n3830 12063\n79144 90259\n42307 79235\n13168 65913\n47197 95154\n44954 65625\n55603 71511\n76348 79324\n7873 81087\n6345 93875\n43550 99283\n72847 93290\n21027 90115\n66121 81865\n41949 61187\n27559 61099\n52454 65420\n50247 57384\n33328 79196\n17450 77416\n32966 42345\n48803 50866\n37806 45144\n67371 97955\n24148 67758\n24154 98904\n2871 14185\n25924 70857\n54160 83174\n24418 30262\n8435 64403\n37443 81104\n1294 16835\n49394 72116\n30819 94834\n11330 89647\n45607 60754\n83015 90642\n3684 74940\n43074 62507\n44093 48910\n65442 68559\n39479 48875\n34271 87102\n38304 79149\n8709 42756\n53346 65816\n17622 70125\n83716 95577\n6208 73955\n18418 39154\n22351 83683\n67642 67644\n51396 83000\n29630 93083\n47418 63357\n68513 96908\n49632 58342\n22512 29174\n27474 87931\n15872 51392\n35893 98045\n26131 51147\n5582 92858\n88928 95018\n50192 51507\n30254 37147\n39269 59027\n61783 81463\n24825 66705\n22271 37702\n29203 65193\n16960 58890\n4136 26916\n20394 24850\n39716 97038\n65002 77765\n24726 74631\n540 89731\n15309 17682\n25746 86506\n25275 32362\n2927 68544\n80219 98757\n17274 90909\n25903 59662\n43104 94799\n87596 97588\n8412 26045\n13616 29409\n12785 42557\n55506 76732\n15974 94952\n18904 24450\n20267 74603\n59363 90741\n1843 96422\n1263 92308\n1846 35299\n22539 84274\n23295 65237\n32019 79528\n3203 18171\n71237 77351\n50428 86044\n5405 70972\n3697 74467\n19045 94395\n35616 64499\n47573 51832\n52418 74154\n35945 83207\n30535 35753\n83772 85602\n43363 66707\n70560 81789\n7668 31653\n40051 66106\n89934 93695\n23426 34813\n33134 55733\n62374 86859\n10127 92663\n12594 48046\n38962 75937\n1411 33550\n38395 84490\n39896 59095\n55799 67780\n33029 40820\n76059 90846\n52101 70718\n51541 87739\n668 41779\n17346 43461\n77870 85353\n6195 40228\n25478 52924\n2501 78891\n24675 39586\n24726 92117\n60718 72707\n59681 71986\n22886 87635\n15902 39145\n20809 48937\n63799 95796\n24746 72921\n7391 84995\n3023 56916\n1317 76607\n25429 74486\n47668 78693\n58259 90212\n12598 24121\n52600 72141\n62083 83847\n10339 79967\n34295 57937\n37958 68193\n72013 98569\n20312 41415\n11409 70649\n35551 82562\n2535 52816\n29904 76413\n29786 54072\n22562 74855\n17451 53283\n52507 81189\n46996 82822\n28972 90028\n35488 66629\n1693 79430\n57432 63576\n31860 42611\n67419 68643\n16483 60077\n40792 67839\n47884 49613\n62890 68493\n12051 78848\n36967 37632\n66308 77899\n19342 69780\n36252 51321\n3858 59303\n60093 93448\n60392 66630\n57357 69034\n9962 28463\n55257 92100\n5304 22451\n1201 23976\n40245 70529\n73242 87861\n5171 65996\n15061 78667\n34986 41899\n29459 35800\n42629 43455\n53881 63840\n61940 73040\n69653 72744\n28056 68936\n29656 49736\n16847 86622\n84615 94054\n44192 98379\n7135 57226\n34038 52205\n25741 44054\n38436 65327\n17864 52160\n63619 97626\n43010 97971\n44397 98585\n73812 75972\n34283 58553\n66376 94070\n26443 95276\n10197 11553\n15332 60271\n85840 86884\n32311 83952\n40630 42260\n43133 72213\n63780 91635\n3396 55161\n1293 52338\n9857 10619\n28071 51909\n6011 84213\n25745 88937\n705 23323\n11146 42134\n38410 89766\n77216 87271\n99270 99974\n17019 88637\n58284 85392\n24032 29987\n74674 83106\n1497 11557\n19210 90520\n82550 94959\n27657 57136\n65928 91056\n57152 86031\n20463 49887\n16267 63726\n6172 75476\n36851 54056\n7566 85507\n40031 84465\n37846 88160\n12130 87145\n28944 53777\n25479 83637\n9070 46439\n843 44634\n45048 46786\n9219 96390\n43453 60958\n15410 69341\n27828 87344\n54662 95870\n2469 27361\n10627 20747\n20527 35042\n716 20066\n6533 67588\n56664 86897\n12042 67805\n17890 80185\n48925 61003\n1833 76585\n51041 63479\n13327 99305\n23726 59716\n23075 27568\n4547 31008\n13249 45136\n63197 82979\n14096 38813\n28604 54357\n14448 74193\n69015 90926\n65454 76529\n65064 88691\n14148 64469\n35478 38663\n59944 94506\n14802 16860\n56752 61557\n15360 62340\n16378 20171\n49470 79786\n39245 99121\n8412 50943\n76436 85769\n3029 9614\n33974 79776\n19356 61290\n66221 67417\n16492 55591\n15729 34802\n56491 91935\n33747 65484\n30941 31851\n25513 37872\n77921 87563\n24658 48702\n62063 97081\n54658 70138\n720 59728\n29202 97282\n16493 95880\n43691 58924\n2451 94096\n73114 80775\n28295 68553\n31433 74731\n50868 79963\n6179 67457\n41821 83896\n8434 94594\n15278 37748\n60473 77845\n54453 73061\n47277 49570\n71551 99838\n19748 35106\n28695 51839\n14419 38656\n33187 88503\n11937 90597\n39965 92867\n18585 53723\n4868 67785\n19999 80132\n46844 50094\n2560 35890\n55711 89692\n15425 38108\n89390 92130\n60910 69217\n32892 72743\n38262 96878\n64169 69209\n45421 68451\n52366 70058\n11957 66301\n46135 82011\n6302 97517\n10703 12105\n30101 72421\n36553 75483\n27770 41480\n18579 34290\n23733 37906\n5651 16656\n4161 36905\n46073 96868\n16804 74332\n1857 11481\n19041 35499\n64995 83466\n36939 44892\n32154 99054\n19426 46971\n34898 59610\n11039 42622\n37764 96733\n14926 78507\n38671 41323\n8135 86632\n40898 82768\n15464 45627\n7357 44231\n23371 79568\n97639 98955\n3619 84655\n14895 45660\n89016 96723\n22971 61254\n48884 95457\n6195 51692\n36388 47125\n44294 80690\n3772 59031\n50693 66007\n35302 84916\n34086 59216\n64372 95016\n55745 84845\n42128 65176\n51019 84102\n34445 59600\n63750 70069\n6640 69137\n83291 91343\n9693 47736\n45141 94627\n58967 78989\n16424 50695\n32537 89624\n66551 92978\n51264 62607\n59073 68172\n5437 20925\n38104 47723\n822 34857\n36041 44214\n3595 71417\n39926 67302\n440 14848\n69981 96813\n16971 94832\n37108 70186\n22939 74801\n25930 30911\n13911 38864\n40168 68598\n27862 48674\n27938 70957\n3314 8714\n39197 55887\n26335 77061\n47143 57055\n44132 90493\n20935 41999\n62280 69478\n53017 70078\n66295 88977\n55814 65297\n57586 99905\n44321 70518\n54885 62419\n14612 61899\n10967 18195\n56774 90049\n33622 94553\n4957 98554\n4899 17410\n34083 47048\n26911 92013\n6499 85823\n9764 84986\n15750 26602\n17206 44754\n80612 99403\n21104 67632\n75518 89649\n14499 52059\n70593 90519\n39966 80403\n30948 96053\n44058 96564\n21568 99823\n60766 74026\n37857 55895\n40738 45770\n45794 53781\n40892 83285\n42916 92747\n78429 83514\n19412 84237\n69648 95402\n27006 75337\n48211 62923\n8344 43984\n24312 51052\n19827 54014\n50719 73710\n43522 59121\n4113 96477\n18087 52443\n30175 34653\n21960 52756\n21433 73256\n78457 90664\n27547 48103\n9095 62478\n34143 96265\n5419 95737\n54086 81076\n32125 62665\n3354 97631\n58244 69605\n17409 23181\n31180 41472\n15575 74927\n83203 86745\n11504 31259\n7019 26158\n31262 72880\n86062 89265\n14991 86602\n40144 53203\n23170 63800\n77833 88553\n57591 62187\n17421 83583\n2007 55728\n48532 83283\n42700 52438\n24255 24740\n26979 96149\n37859 58993\n32317 46190\n14257 20979\n4313 93369\n31983 85235\n5410 97527\n34566 34899\n49266 96396\n1993 83449\n54089 92995\n64960 74642\n310 67400\n56851 99344\n42509 43211\n23650 34739\n46520 64848\n33959 91790\n22271 63559\n19930 61787\n17149 72868\n13371 49213\n49570 93294\n47506 86198\n1885 29965\n53606 87131\n55960 89444\n28116 46401\n14285 16167\n5617 94502\n36643 98236\n43056 77372\n57350 61903\n13355 82433\n59529 96050\n20770 77241\n61163 67154\n71066 86807\n8985 29923\n3237 43870\n49520 71490\n29238 44488\n62386 91295\n44926 98969\n17262 88944\n23593 36248\n27578 75875\n9610 87751\n3259 90200\n76003 85767\n18691 98670\n24305 93966\n54632 67008\n46307 48289\n9225 44710\n17620 23860\n37944 87797\n7347 73746\n85699 86869\n39175 57586\n36979 99653\n8359 68496\n33978 94811\n14007 55463\n45131 62508\n38442 50877\n9359 89789\n21050 94156\n19054 45654\n34379 55695\n32056 84759\n46467 52053\n43505 75382\n25893 26019\n54345 56749\n28235 35575\n3781 93550\n67869 90053\n2208 68373\n5175 98397\n45882 66116\n42020 53157\n52814 79997\n34630 40853\n12668 43811\n24686 39501\n2610 59194\n28045 61395\n23999 73075\n26263 28179\n50782 57457\n35803 85129\n11438 54759\n24307 35778\n71864 90024\n63707 84344\n24818 96683\n44237 58826\n21083 34365\n20613 46142\n3886 78022\n42218 78472\n2025 78985\n14676 85704\n59908 73841\n6548 67575\n7042 95363\n40282 60961\n23741 59857\n7130 42574\n54178 74762\n2727 32759\n13420 22839\n47310 64044\n31141 57572\n3325 76845\n77270 92477\n5618 61256\n31061 89473\n24321 88132\n3574 30897\n68639 96279\n43892 73025\n47898 78956\n66095 88070\n27112 46329\n71670 88901\n26708 93843\n12118 56313\n11407 45813\n35001 45517\n66517 68058\n12281 26743\n94096 97558\n84153 91661\n50340 82971\n25985 48016\n69614 85181\n11929 94810\n25262 68118\n1531 33396\n52316 95245\n65048 85247\n19305 66600\n2362 66704\n33901 93993\n16798 45745\n1964 99701\n42215 65265\n14767 87483\n71966 91748\n12242 74854\n78530 82168\n45003 85283\n34006 65328\n503 77841\n8133 21917\n28006 39391\n8980 27571\n63609 91391\n33813 92090\n20215 55448\n13884 37614\n9650 9887\n60763 97199\n68260 90204\n8582 49587\n21200 30951\n61899 83721\n53470 74263\n7091 32926\n11225 57036\n42909 64080\n66332 93225\n4045 68666\n45053 63396\n39255 81632\n88745 97072\n40395 89938\n24312 81486\n32025 37309\n10027 89914\n63140 74888\n7268 19718\n48685 93136\n38366 89918\n130 20826\n17208 83606\n62305 99066\n3036 22132\n25812 89643\n11583 17989\n42127 44606\n883 13410\n70096 89004\n37488 99739\n88694 96265\n60472 64034\n15339 26664\n8863 87804\n54966 72264\n38570 40271\n37744 92112\n18492 35447\n53062 97448\n14427 15831\n45212 85545\n75974 80254\n81512 89473\n78196 79230\n7532 13932\n52480 78248\n18146 96083\n1946 83369\n10071 52884\n6191 97058\n21749 63744\n95893 99366\n325 36633\n2715 22925\n35130 62281\n16485 88400\n5483 58930\n28015 76361\n28233 68886\n59610 62173\n10886 31038\n60387 67220\n37475 68831\n73832 89520\n4326 62205\n16304 32096\n9418 57327\n17418 49030\n64581 83996\n65576 99901\n69179 75548\n12285 58554\n88207 91681\n29890 40200\n14445 73836\n43974 74618\n90268 98881\n78945 92406\n21356 40471\n82091 95806\n3990 73124\n24116 60208\n61366 72728\n42840 85714\n37949 93413\n8240 94467\n37008 67380\n27144 31322\n4246 46046\n72771 91985\n530 59483\n59002 87226\n16328 33528\n5729 71624\n42726 54846\n23806 98372\n53765 56350\n45744 66629\n4387 17314\n7848 77116\n77062 77527\n56808 77525\n59350 68067\n12650 30633\n38614 69251\n12808 91628\n67647 83622\n42112 75809\n80221 99406\n33828 35307\n90347 92133\n22927 54478\n30914 41580\n64562 71862\n25203 88157\n9435 45477\n51423 92142\n55839 66858\n19229 94114\n43052 50577\n50220 95480\n45477 92633\n1198 67951\n22971 90124\n49928 54163\n333 1253\n79136 90544\n61270 93368\n65831 83424\n1867 59755\n19739 73616\n67194 81070\n23613 37074\n19959 73543\n58257 58364\n15039 88650\n21441 29692\n31127 36463\n24118 85962\n30997 40646\n35256 63710\n57149 81913\n60600 70144\n17628 50800\n21204 40102\n49362 76233\n81462 92554\n210 90575\n55842 93378\n32899 83472\n2646 18006\n1784 11169\n9631 47958\n4959 27591\n64946 70385\n42433 52855\n5030 12382\n30405 81388\n21325 38683\n2254 55025\n40693 97796\n16253 46495\n80441 94804\n59519 94993\n2872 38143\n92721 92784\n39438 41944\n58676 87160\n10551 49419\n8039 63527\n69247 91460\n20086 73692\n12532 89394\n11719 68877\n15758 43660\n19131 34331\n10665 46551\n7305 16877\n11179 15519\n30077 66808\n2761 42439\n41299 93449\n4157 35154\n39882 91620\n5430 63465\n91097 99771\n41964 83377\n33184 45856\n70734 80982\n32303 96777\n427 1066\n14901 67530\n58334 63075\n15509 49126\n77088 91391\n23967 52757\n2206 21293\n3631 56503\n42897 71552\n43124 67003\n17530 41567\n49707 53998\n10255 85988\n84500 92900\n4234 20801\n30573 68224\n76110 87554\n14911 72940\n13021 17258\n26560 62017\n39331 72760\n17311 77415\n6408 79852\n68915 95750\n30644 57100\n74499 85497\n22896 76447\n16265 83863\n9900 66165\n8131 20644\n24509 79615\n61762 65683\n47396 61082\n8513 52440\n69052 97564\n41137 41550\n47734 97945\n59785 96417\n53863 92993\n46292 61402\n3520 4223\n51661 74224\n8215 62235\n6492 68147\n88545 97722\n25598 78105\n24962 91352\n4595 41493\n22473 58305\n26575 48602\n3641 80299\n50580 65309\n34612 64381\n11444 41692\n10680 83625\n21980 48399\n51738 90303\n12237 79189\n3328 84162\n27753 79970\n48590 74520\n2163 18559\n4069 21043\n16383 94635\n11714 26646\n7739 94555\n19256 38739\n27507 28177\n86877 87828\n25833 95105\n82725 98495\n46096 94331\n208 12400\n37861 53913\n49946 89878\n6023 89514\n8267 83967\n31011 83186\n75764 92583\n13858 91439\n26041 85544\n10172 13709\n7384 36077\n34939 79838\n46066 61346\n21207 58857\n90713 98398\n76151 97521\n58580 64257\n55610 97429\n76044 88403\n19128 90587\n51518 94312\n21783 43883\n17309 27409\n1845 70815\n56236 57613\n4628 94395\n41898 77654\n39388 85954\n21951 81871\n19412 81685\n39066 51287\n42307 55928\n48251 75472\n64535 99074\n30486 90457\n62449 99278\n75852 78810\n10097 13367\n56764 68070\n23608 42134\n15276 46815\n33967 56822\n62 50109\n12925 36185\n49539 54544\n38307 59518\n5697 20927\n6184 13370\n40583 60433\n7880 25537\n693 91571\n25105 60575\n76384 77887\n26195 70431\n49346 76084\n8116 77297\n33976 66688\n23600 33365\n24405 95691\n24128 91247\n19464 99801\n4721 56268\n20335 48669\n29783 44987\n36610 41184\n28915 60710\n2497 26689\n5621 63076\n63602 66899\n34651 76035\n25956 41371\n22983 78993\n83106 94606\n805 83941\n8307 71043\n17326 79402\n505 34976\n36094 37612\n40146 84980\n94467 99966\n18598 30709\n30635 62600\n56989 91095\n62526 62702\n84482 97526\n10667 95322\n19031 76952\n56640 87576\n18669 32456\n30437 70114\n21312 51736\n38171 40549\n2962 10924\n13129 70708\n9243 94930\n43726 86150\n5496 14051\n4270 60528\n44512 70535\n34197 61238\n19104 86190\n63960 91622\n27041 81805\n16636 48385\n25729 46549\n11388 57249\n18551 20005\n94630 96444\n5509 98162\n21048 77250\n28574 51086\n52497 77030\n41677 82206\n1144 45381\n10602 31610\n13798 91663\n45303 67913\n8464 39836\n14666 88438\n36067 51766\n7306 23172\n54215 70973\n8924 31904\n52221 70806\n3376 31753\n40757 56886\n42046 44769\n13240 56675\n19327 25666\n2363 92018\n37461 72814\n32209 72555\n47906 71812\n5471 54829\n6407 87311\n9506 93023\n4103 68468\n46346 90650\n29717 84914\n75606 80020\n44986 78376\n18846 99882\n62185 96570\n48020 82561\n16607 38189\n2274 52760\n28402 96431\n25940 59757\n14691 45707\n6796 60748\n74652 86926\n38986 84608\n33140 96950\n19970 63587\n25300 48346\n23459 39093\n10935 29848\n30906 35050\n3077 21999\n39088 65569\n9723 71301\n81097 85829\n56001 81586\n12128 94256\n6786 68958\n62698 63224\n11697 30215\n16845 40508\n7299 82204\n23042 62642\n64303 76390\n2330 12696\n67595 88921\n92204 99674\n60745 70517\n19753 64445\n27255 67188\n21884 58393\n50631 71956\n32908 65154\n21828 73665\n51230 99335\n71155 71254\n4351 43622\n16889 95112\n2393 57772\n55177 83449\n76556 95367\n7910 54656\n1112 66257\n10761 89317\n2109 38039\n32104 72847\n46252 72869\n5171 68654\n70236 94266\n50961 69131\n54021 68040\n89829 99219\n22419 64556\n46310 74286\n11080 56195\n72862 81917\n27541 53628\n83556 95946\n739 52379\n9886 34495\n31857 61885\n59047 73041\n9210 98202\n749 11660\n3386 4340\n62726 72527\n33505 99127\n60996 90237\n52277 93101\n26862 80832\n9681 17186\n75868 79839\n5402 40660\n6782 64019\n22449 91304\n61390 81079\n55504 66207\n36202 53002\n7761 9101\n37237 71482\n3585 82295\n46927 79971\n12169 29360\n28118 67361\n32074 34407\n17432 50345\n48117 94989\n91390 96517\n46902 64727\n15931 50556\n30210 87623\n30715 78151\n27167 49279\n20801 92106\n10408 59601\n14024 50761\n42551 49457\n12666 65718\n1821 16790\n82182 89488\n7989 75745\n6417 60956\n52717 60186\n25109 38814\n78408 96263\n42671 78404\n11377 96764\n43691 52744\n66089 66815\n74520 88741\n18993 75197\n2738 16508\n47100 89204\n7440 53011\n3887 55428\n17777 69075\n44730 48740\n8737 67520\n27735 45420\n18908 81288\n22183 34696\n7403 21302\n48286 97936\n31666 63599\n60871 74358\n21563 67351\n23059 74655\n33530 43521\n40763 58465\n15321 49246\n32363 77376\n36516 86176\n30569 53680\n22002 90475\n9926 30254\n45727 64489\n67476 92234\n59261 90231\n17922 78408\n81954 99327\n36725 94936\n52523 80261\n94583 94704\n21036 21239\n11319 83434\n3544 99778\n84857 96957\n32566 46154\n58259 94370\n31186 39726\n7266 57042\n80901 81397\n59872 85839\n26591 29674\n296 9245\n4390 13361\n16790 27380\n3220 41688\n91092 94141\n2282 20762\n73416 74350\n26036 73988\n23944 59845\n22691 75039\n18460 94307\n38328 40443\n9861 61243\n62053 70744\n9719 12686\n69469 86238\n2303 74971\n35632 66610\n21795 68074\n7223 53639\n48890 57413\n3311 16683\n14580 93629\n28053 51433\n9398 75127\n30494 77357\n49729 92065\n5025 46961\n16427 24273\n2130 10723\n44436 88768\n807 65694\n69270 85546\n8242 34832\n49179 70978\n51249 57127\n42511 46746\n70333 86626\n24324 78230\n1772 53251\n8581 31300\n30468 48599\n14991 91283\n18016 20380\n55912 80885\n51963 85531\n57391 69867\n68769 99934\n29804 59081\n44064 80847\n897 8152\n14302 24352\n30068 77431\n9228 94343\n63057 85915\n32067 50502\n41909 94000\n50335 63182\n87794 99308\n10259 18733\n19446 94804\n4878 6924\n25156 85986\n17548 45093\n23541 82978\n6623 93236\n69208 83248\n69597 87646\n27539 85983\n20215 57424\n86673 97775\n6078 8746\n19248 31259\n27635 68433\n56846 73600\n34600 83260\n6599 19441\n18487 54458\n10438 22580\n53859 81311\n15048 92908\n10973 34926\n51405 65179\n18731 83108\n42855 85019\n34101 94093\n83255 96538\n58265 94781\n30487 57660\n13208 47712\n7560 63869\n78223 97644\n46597 74417\n5452 5722\n51266 67930\n28695 86255\n13865 90338\n24868 50933\n19080 96503\n59192 79368\n6035 66036\n69207 85192\n47191 93851\n28883 67040\n77150 91736\n70355 81936\n21196 82529\n50175 68754\n49800 63897\n746 82481\n54318 99290\n49015 87533\n42484 91064\n40782 67925\n33190 95731\n25917 80625\n17580 96382\n16077 49627\n62340 98825\n29513 52435\n84343 89808\n7322 97239\n1397 3146\n7824 10521\n44858 48495\n17353 27338\n28742 34312\n71121 73741\n36201 93669\n42997 77134\n8253 96910\n54346 65378\n4883 10773\n93597 98318\n1712 85191\n77577 86311\n5013 47419\n35196 80648\n32396 82065\n30058 32958\n3226 26818\n1235 38190\n5047 42565\n68217 81827\n73813 85015\n57455 97418\n41706 72715\n28074 38148\n65445 89464\n45503 51477\n5916 65124\n1017 95216\n75784 80487\n39779 49077\n78822 93867\n10969 89808\n72225 81750\n9446 99029\n52075 71001\n30536 70574\n1966 77407\n54559 93524\n12938 81543\n661 19259\n63845 85426\n13995 31153\n31139 46065\n52809 56409\n75266 86934\n21031 67761\n3014 65588\n4058 43033\n43614 61841\n41472 47378\n18764 90680\n53784 69397\n5396 85414\n43187 52852\n60114 81972\n14074 75991\n49933 89249\n1600 45287\n37649 79167\n39891 97003\n35818 95593\n1676 96899\n65600 72001\n20714 98565\n44617 88451\n8619 17219\n78189 90620\n74480 84537\n9569 49170\n11593 98579\n1038 80898\n52644 82608\n5408 97801\n34925 97154\n63667 85515\n51445 74505\n68599 72798\n27489 39525\n28 91184\n53723 94246\n6214 22505\n51256 87908\n1639 68181\n19338 91580\n30766 53307\n69912 94302\n34161 82987\n12484 90230\n21745 26388\n30171 84462\n78502 98333\n92772 95209\n24315 49610\n17055 62237\n15392 55756\n84096 88915\n3288 12607\n26244 44746\n25467 98368\n42506 88431\n15942 33931\n33776 43835\n30240 52509\n14252 65767\n36660 63683\n17532 37936\n2445 89546\n36426 36524\n16944 79746\n10000 55665\n5720 47266\n44758 82275\n35112 53034\n81020 85528\n33334 59897\n16469 91650\n10245 68317\n1129 74470\n9171 62282\n19729 46559\n61544 95203\n37324 39766\n59555 77264\n44802 72526\n49923 79165\n25324 91832\n22017 81701\n5691 18321\n36603 60142\n46136 87031\n65289 72318\n18583 76288\n58083 82465\n37625 42875\n19813 78937\n46971 47279\n81731 90756\n26853 60344\n15356 52058\n4311 11190\n21511 85300\n9823 16699\n36243 70773\n18710 54075\n2185 40114\n5817 34054\n75337 89810\n69000 85016\n4241 74763\n21960 49563\n37251 61333\n81931 89050\n61755 96265\n5815 40417\n22459 26432\n24606 60123\n39625 85625\n374 26936\n1390 55302\n45475 94411\n92771 99189\n49768 79295\n59285 99465\n15457 83879\n67326 77745\n40830 84542\n29521 67198\n58296 88889\n11329 12193\n43598 59992\n84240 89602\n23258 42684\n49685 94829\n18581 94085\n61082 63125\n31369 33207\n31142 46399\n71847 82824\n13914 64785\n40119 82153\n706 99341\n9511 24476\n29124 71150\n36544 75436\n59546 76258\n3877 71795\n33760 92813\n8235 71517\n4039 29239\n41572 41781\n24242 26026\n23260 27238\n90889 92924\n20573 38012\n18053 40550\n56127 81527\n39661 70880\n3910 76791\n2520 99660\n56360 76049\n66670 86025\n50864 67007\n10418 69766\n70439 78453\n7222 63855\n40155 85843\n9049 96019\n75225 75542\n52721 99641\n65748 70412\n23836 36321\n4435 8181\n5783 56135\n20690 95523\n3352 84177\n46573 55235\n51195 76049\n58319 67497\n24094 42724\n15329 60386\n26179 39805\n14347 60630\n43920 66499\n31938 44301\n12468 15974\n74670 93843\n29936 45384\n8668 50595\n9037 42448\n5536 24698\n20406 31516\n1356 96027\n5167 63975\n14757 40609\n43423 67192\n2837 44463\n19100 77440\n13471 93960\n2254 30325\n13076 42165\n19444 21881\n14448 92363\n15677 55675\n40556 65191\n53502 81946\n19138 54128\n21375 48586\n79784 99103\n43680 47032\n60925 74685\n19031 89344\n17353 59814\n46630 78645\n35909 47494\n32957 41680\n59558 61450\n51262 92384\n41335 72932\n44755 58736\n73916 87203\n1610 38960\n21104 33790\n25644 85025\n43521 83115\n66914 86559\n84639 93424\n43347 90071\n2138 43713\n42029 56134\n30365 79172\n16458 67175\n8454 37854\n52650 54018\n2063 50087\n20607 47704\n60192 86874\n22655 41382\n33945 39257\n4578 83047\n46465 89517\n16618 89387\n33062 92353\n7050 75493\n43875 91267\n52253 70584\n83556 86927\n12697 69702\n19824 35485\n15574 76248\n9633 74321\n16297 82306\n38890 58402\n9406 77134\n1738 46780\n42606 92692\n71852 83686\n89920 96508\n35072 98768\n5600 71811\n56255 66555\n46931 85344\n70174 72847\n80872 88608\n38249 57106\n6042 71938\n31724 94797\n19076 56948\n26537 92696\n19144 71322\n29886 51284\n12903 44523\n21571 37754\n66843 80481\n48479 54054\n13325 45873\n6380 90444\n1838 2438\n17746 77970\n69798 91054\n36754 86096\n88858 89012\n58712 60846\n6560 32186\n42974 51777\n68695 71708\n65958 87655\n12196 25514\n53928 71120\n11308 95021\n58391 92987\n14353 79215\n52848 63774\n10296 95867\n26212 52391\n113 93770\n29785 53262\n87633 91375\n44804 99339\n31908 67138\n56015 98479\n30712 33926\n71683 75419\n31583 75965\n56713 81292\n29348 52010\n2966 41337\n66481 89143\n226 31098\n4517 10564\n69456 91302\n24808 63872\n25508 52524\n73691 93479\n22233 92809\n6199 93176\n30446 55815\n27763 84253\n11697 19638\n76538 92577\n19609 75747\n1128 57487\n25179 72185\n78625 86332\n41334 89250\n7267 73452\n82112 98704\n65823 73078\n53644 94052\n24128 63119\n51667 73781\n86341 96790\n20339 80452\n17362 98467\n4944 68196\n51314 94675\n14654 42233\n17452 75975\n26091 67322\n22674 49841\n39909 64414\n33927 60729\n3439 40743\n44658 63987\n919 55739\n43030 70956\n24109 56558\n28857 95170\n28922 89091\n23012 64568\n68982 69393\n71939 92782\n49960 85570\n65984 80597\n19035 95820\n29037 48597\n62929 78956\n5311 95012\n73338 75155\n15521 45238\n29488 42081\n58740 66135\n2430 53248\n8254 89758\n75098 82402\n30273 65512\n44392 75080\n4331 95235\n3814 14862\n76112 89599\n12598 76684\n17855 19105\n2448 73720\n72151 73688\n47400 56022\n6766 59709\n22399 60776\n10112 34798\n27073 33981\n1562 54232\n52525 62096\n42241 84250\n26040 73479\n45187 74118\n9083 30466\n15674 47301\n26124 68045\n3492 31228\n43096 82524\n20977 71420\n73065 74150\n67968 80855\n15462 19093\n61516 79587\n43851 51022\n43304 63685\n9005 35460\n5499 71270\n57079 58714\n107 79409\n3248 4269\n39445 40312\n2794 68551\n77658 86027\n49504 93357\n55122 84971\n7096 83335\n14607 81057\n1578 62303\n48819 50874\n69374 87535\n5715 78666\n58000 59086\n52472 83715\n67741 87810\n14136 82879\n48843 95578\n7995 15094\n14581 50322\n7954 72425\n51690 98577\n71344 86370\n30203 55878\n64428 74807\n48940 90421\n6532 70169\n6591 70713\n49939 80469\n8305 16376\n60837 74707\n57545 73459\n51159 70482\n166 22157\n10122 80827\n20068 82593\n77986 97408\n40242 51835\n16889 32336\n83124 99777\n15832 64274\n28766 72820\n8956 9221\n72971 84754\n63449 75457\n6248 29015\n1171 26328\n3132 66535\n29281 60736\n23399 94664\n27832 48531\n17951 64987\n40220 87630\n84455 96749\n33864 80943\n47841 90677\n1296 24625\n17405 65686\n71470 87197\n31162 46022\n32615 60396\n51730 83150\n51256 68368\n22649 23345\n41833 63505\n79994 93993\n55875 68582\n51296 69424\n44697 72200\n8106 98663\n38684 81095\n10339 32242\n529 9090\n7332 55031\n14208 98136\n35422 47292\n34694 86772\n6654 61174\n45639 54756\n9011 12817\n30785 43393\n30349 74366\n52136 83201\n78418 89318\n47895 89389\n35561 59676\n29609 71558\n63829 89854\n68640 87135\n33929 40993\n7765 39078\n52678 75040\n3129 6660\n69344 80184\n10389 29833\n41497 93864\n88629 93944\n5132 32220\n6724 22089\n5947 76312\n17437 78365\n13239 99462\n11831 18173\n20016 32578\n39064 51019\n33412 97264\n35048 41861\n2926 39602\n8232 75062\n39879 70777\n41187 69990\n5247 95983\n26432 71117\n76488 77821\n38632 89466\n46193 74305\n4648 36547\n71793 88411\n77004 88130\n2759 87260\n63127 89507\n5359 23796\n14382 45034\n20757 47486\n13060 46995\n29890 84762\n27030 98987\n40627 49227\n64439 93003\n66102 91655\n12498 59647\n21953 86831\n34719 52822\n39946 77698\n11580 95086\n10753 54560\n43414 54368\n53905 67818\n33152 88423\n6774 32778\n22390 44731\n75704 93413\n39615 51041\n28017 87995\n51529 52080\n84004 85726\n40229 90449\n28153 89895\n40539 84681\n21536 31641\n59665 68494\n4135 72000\n16453 88470\n79628 92327\n28078 46869\n69900 86004\n25635 59046\n69341 75498\n77805 93877\n4244 46497\n22300 65525\n3043 45243\n34144 45947\n5304 35713\n40684 70427\n21526 95678\n70565 75917\n35084 52034\n48727 84504\n74454 97223\n5165 51161\n32263 73510\n25127 47468\n10939 16400\n59215 66203\n58822 62528\n20344 95495\n52037 72226\n27516 86720\n34367 52854\n31099 54365\n57939 82128\n64489 75600\n22680 60162\n1706 54997\n5871 70962\n19079 58718\n59281 71273\n16881 61946\n30621 32897\n68873 71260\n90110 99211\n514 93965\n11264 59673\n42510 72531\n3588 53379\n58206 63970\n62008 84285\n17199 91464\n14798 81666\n15454 64820\n92547 96123\n24274 91930\n40069 77391\n6492 31000\n80619 93368\n73592 99156\n10802 19092\n9542 24511\n978 76527\n12037 74303\n12571 98087\n86424 92584\n65708 93079\n19505 19656\n46883 83870\n10877 54324\n8490 36366\n47890 89232\n37288 58204\n20586 42886\n763 3197\n28977 46872\n31207 38657\n9360 52166\n1228 76583\n15439 28551\n75378 93241\n31798 88582\n7645 10792\n30998 50689\n22833 64068\n15512 42462\n39430 89296\n44467 91012\n20199 80887\n81984 95612\n57382 61647\n66573 96345\n16121 90098\n13260 45042\n9196 48212\n17118 51919\n23017 95184\n65369 97498\n32622 74042\n28611 76138\n49036 58342\n74381 77236\n46375 69907\n53259 87434\n4539 56269\n30561 31501\n70697 87511\n24240 56561\n80100 88442\n37920 73871\n613 81553\n35180 81273\n4363 27500\n15279 94885\n11809 12342\n67774 90113\n12758 58608\n47039 58946\n64410 72181\n2217 78824\n5054 70823\n29303 40025\n26321 29703\n7046 74106\n84145 89791\n38734 80105\n12662 61882\n16637 43936\n5857 53122\n67085 70276\n26684 49728\n2528 62695\n12218 68292\n11849 12715\n31271 72932\n169 91641\n90666 91005\n8121 97748\n29242 61605\n12422 42757\n53305 90731\n26212 73840\n36838 54024\n34978 42077\n6491 44198\n2429 92070\n28763 37284\n12982 58490\n17144 45699\n5917 85821\n40297 77258\n4683 9823\n82743 84139\n49427 98968\n17623 54324\n32752 83266\n14501 93056\n12891 92327\n54226 86254\n43474 50720\n42105 45776\n31844 42316\n2063 27294\n38155 64416\n44811 98612\n42374 51597\n41703 80757\n9634 58944\n28837 30462\n16820 62148\n49647 75331\n13177 64109\n9151 81244\n20935 49738\n58745 69032\n14236 49076\n62936 83785\n9046 57095\n2763 68972\n44799 53045\n14325 17516\n16545 28318\n14415 24045\n72383 91889\n15205 60814\n79772 82990\n21031 76118\n338 80528\n4639 82089\n9091 68739\n60237 99895\n44574 81868\n53788 68949\n3068 68751\n39590 80312\n80591 93905\n87673 95665\n1584 23105\n48716 85251\n15198 91710\n8248 11416\n2057 56261\n65 74619\n39058 95163\n20113 71540\n72721 97852\n43851 85454\n24010 78299\n54743 74400\n38359 92871\n12593 66726\n34395 73700\n8547 94982\n34750 58945\n58170 78924\n43844 65932\n7205 78543\n37599 53134\n7508 15120\n31589 92540\n42764 73687\n4177 37267\n53467 92226\n2613 16041\n24729 63152\n28616 52190\n1271 37089\n4897 42481\n62542 80535\n16690 28488\n40741 51214\n12631 18968\n11761 74666\n44803 52601\n53665 90486\n20456 25696\n31814 75050\n50278 68779\n43639 67346\n15370 99251\n10780 93750\n64309 99649\n3770 91705\n4679 89727\n14886 77198\n50371 63073\n42673 98099\n83676 86483\n43871 69262\n59520 93443\n13605 36119\n15688 69131\n5221 98032\n2530 47818\n63451 64201\n1392 83951\n335 52295\n14566 68261\n302 61925\n9462 78267\n3098 66859\n43397 99229\n35384 96035\n24457 42483\n6060 65518\n80226 91938\n69991 91837\n19369 58450\n39452 88934\n34429 87617\n53353 88576\n36669 89147\n40248 65182\n38695 57931\n31075 40779\n35886 82528\n65136 67627\n55525 78657\n93388 98797\n17448 47187\n47520 76606\n63665 98425\n32582 96748\n4371 18907\n20430 41692\n15670 57411\n47854 94289\n66574 83022\n37122 85857\n10414 72738\n14597 26257\n14404 91096\n10980 50151\n32909 45246\n46307 98349\n15073 76148\n33460 98523\n8431 94305\n14977 26852\n5018 92544\n37452 72879\n25581 77611\n84687 86013\n61028 83189\n45915 57925\n6146 38305\n59324 85268\n69117 97150\n68366 81497\n52459 73577\n77374 88628\n30966 42085\n55182 67994\n29866 73478\n22577 34993\n45525 71381\n1576 97231\n50740 86737\n51308 97553\n19748 93036\n28818 51756\n13792 94077\n8446 10367\n10698 72184\n62988 92908\n10393 43889\n21915 76477\n26240 48251\n33219 34887\n62758 70865\n21463 31863\n53161 60122\n10837 11718\n6281 95392\n20440 94078\n53817 80303\n43870 53539\n76973 85975\n4306 55142\n12235 36363\n45758 68115\n16645 81339\n9204 71911\n43711 69059\n49436 90233\n43131 70803\n38344 76691\n47471 84792\n52223 67506\n43916 60801\n35297 64477\n29831 52713\n57403 59403\n28684 98697\n73048 79367\n4859 77190\n69276 92054\n2000 98108\n11831 71422\n7874 82556\n4378 59997\n29764 54029\n7825 96749\n41286 86285\n33778 42756\n60660 75683\n21372 59750\n27829 81361\n10045 43573\n14534 67897\n36419 89139\n9619 88310\n36694 76547\n32483 67397\n50269 85774\n59730 95438\n30011 78219\n44018 52068\n42746 42968\n44903 46601\n41643 53600\n2248 99109\n5348 21679\n12324 29284\n48304 51406\n54047 74206\n54671 86473\n13018 63580\n25624 54482\n239 19948\n73310 80826\n52978 91802\n49529 83157\n20546 21184\n3511 61704\n25008 79884\n38865 83106\n953 20231\n18429 40039\n47278 72638\n35948 41755\n16441 86870\n4419 29722\n2728 45043\n20041 33141\n25376 50783\n68827 80940\n68238 68724\n55212 76989\n36160 65761\n66984 97463\n45013 73848\n26410 48709\n18848 83938\n3071 66605\n36698 46597\n39912 90075\n13031 57036\n56087 56635\n89088 97648\n74172 83138\n14096 89525\n76567 92180\n24631 37131\n20507 39354\n34737 79774\n22372 47729\n47756 53425\n81726 83701\n18924 30797\n27277 46258\n49503 53737\n19706 48918\n19708 85472\n33361 91569\n22929 75411\n27760 99136\n67129 80691\n19872 71868\n22183 48512\n80674 91682\n9573 71182\n38809 53849\n67964 98653\n85464 91573\n16661 55736\n50816 59706\n13488 72059\n11607 63649\n3493 26519\n18442 75337\n55761 96847\n51946 88342\n10579 96886\n24465 62970\n1376 1906\n10278 13706\n40827 45765\n78082 96341\n4762 33215\n68372 73292\n1226 74748\n21827 45111\n26923 29334\n37198 46282\n19378 82252\n2485 68483\n89641 97413\n7804 38212\n16134 51963\n25187 68157\n44541 79197\n28006 73605\n17272 54541\n13564 82923\n12169 20102\n19234 72201\n40899 45386\n73498 89960\n12247 67241\n82845 98578\n10819 17046\n12697 74965\n10105 79312\n10780 39940\n9067 88202\n28578 92138\n42129 76523\n11771 12594\n18483 83101\n80647 84520\n7970 84170\n31294 53392\n7727 64142\n37279 50179\n36765 41773\n4781 65626\n49903 53646\n48430 63774\n18902 88221\n30737 96070\n26826 95834\n34284 93006\n68859 96528\n51917 90772\n66389 75726\n20174 27967\n374 65227\n61095 64539\n2361 37504\n65454 73695\n74338 90511\n40434 67818\n47713 91347\n61854 96161\n42473 83591\n23108 51534\n29516 88336\n15204 49742\n65057 71565\n14467 22494\n41775 91843\n1288 27837\n72619 85689\n30934 58557\n63141 81830\n394 32805\n50409 83673\n52670 96553\n44723 96006\n84408 91806\n43006 72100\n19217 86761\n70182 87965\n20247 61294\n26276 83092\n34858 96673\n59481 73234\n52791 88820\n24977 80071\n45433 67593\n50663 61619\n45313 65382\n28408 36544\n27699 62796\n59269 66396\n40192 74574\n12362 94844\n49488 90752\n12856 33917\n62438 88687\n30666 32232\n87912 96742\n17053 77862\n17306 29353\n74607 95733\n17448 45941\n15471 45548\n13874 21665\n46451 78341\n46535 95445\n11678 22050\n27380 85231\n45092 75280\n64275 75659\n21654 74499\n63922 73866\n64284 98161\n53148 93476\n38392 81186\n33273 39137\n18075 47720\n24911 28009\n7666 79967\n25496 50926\n50923 65993\n32941 66197\n17559 28306\n37255 86211\n19170 63741\n28943 62998\n49132 79428\n33421 95173\n2142 62014\n76275 97865\n56740 59281\n26457 98273\n4933 7201\n54468 63950\n29159 39666\n935 8123\n31 76675\n92 32786\n26928 86805\n37743 49223\n74135 95603\n62240 82723\n31103 82122\n24231 26774\n14132 37678\n2608 97470\n60059 84297\n83473 95361\n11012 54099\n70812 81541\n10255 25692\n43198 74820\n4086 55817\n34914 38413\n89083 94105\n19448 89920\n30956 63458\n31118 43757\n57524 69914\n1845 93848\n82204 99125\n16280 42847\n12914 70749\n46772 51037\n60735 74024\n26776 92781\n43701 87480\n23577 72903\n64359 95147\n53911 61288\n11832 43114\n38193 46917\n3573 38970\n84714 90631\n28773 52452\n41813 81481\n32145 32157\n11882 81192\n61394 90247\n43245 49566\n39076 74025\n11044 24423\n36868 38953\n36472 57783\n16178 37157\n59499 72453\n30390 34337\n14068 28478\n59301 84861\n38733 76737\n18174 62633\n75998 82577\n75666 84667\n50017 55875\n59147 95230\n63049 87601\n71303 99042\n23527 29787\n29101 84280\n44243 57043\n1315 27703\n27255 52407\n25502 94656\n34557 62895\n62362 81530\n276 35953\n9028 75363\n62281 63122\n25017 64563\n9265 91825\n3576 88173\n8597 32777\n36311 68857\n8346 39082\n86586 89371\n52322 58026\n79612 82725\n17661 62241\n81851 91437\n50464 69342\n94544 99612\n13567 47515\n7615 91463\n68483 88294\n40240 56267\n50244 61137\n34207 46231\n49505 77977\n16918 43804\n45648 71202\n22381 88327\n26905 53050\n19351 25479\n2916 44787\n5588 47202\n96063 97276\n77868 89395\n15251 93365\n20254 63887\n70234 83654\n22703 80273\n12815 36292\n16216 83883\n25267 97528\n38175 92604\n43545 87044\n5221 50576\n45497 95821\n35528 85975\n19203 86297\n38180 91144\n11371 19856\n36932 80229\n57253 99856\n36903 73579\n23257 59637\n11264 25521\n16190 42739\n16947 40698\n23709 71480\n18273 38945\n74581 80365\n17187 45011\n83536 90350\n39119 40335\n41316 48772\n37390 74537\n30090 36920\n41378 56664\n50559 61869\n67656 86715\n46144 80527\n7388 40529\n3948 80933\n77285 97677\n13840 42669\n43523 48093\n76407 88564\n18751 98324\n66022 92292\n1780 7228\n17408 84149\n5613 70780\n60899 97267\n362 13072\n10555 44562\n47751 93131\n43917 85435\n51050 97862\n61654 97098\n24603 74626\n63684 90129\n70294 91949\n46264 78821\n33371 35015\n73917 83699\n18005 75910\n17350 59007\n20361 96942\n21727 76005\n29918 99811\n1622 84314\n41662 46545\n56740 77599\n7836 13538\n36017 50245\n72215 78505\n58260 90505\n77342 90854\n30578 34086\n19457 80489\n24286 92160\n20076 52264\n34135 73209\n85929 90843\n69185 93729\n13471 26339\n6518 84889\n5878 50733\n65221 76501\n63183 71842\n16801 50542\n38932 41489\n65956 89445\n25833 95306\n88189 90683\n24836 26787\n15388 24437\n46414 69062\n5234 91430\n4647 19017\n65915 79377\n24450 66535\n16096 92757\n5688 96909\n44556 81148\n6965 86062\n34917 46653\n5531 73931\n75087 96229\n24117 28205\n30777 90178\n67047 69124\n15326 41976\n65468 74195\n15437 81563\n33028 43979\n8753 77197\n29148 35124\n87343 91748\n20398 82534\n65341 75101\n32820 57115\n33142 55422\n42691 71936\n32487 81714\n63382 85648\n9149 53510\n27851 36799\n18002 80888\n27570 95418\n49454 61160\n36093 68843\n91472 96907\n36420 80815\n44828 83889\n88442 98413\n20486 59122\n16684 19665\n33703 63039\n13943 77329\n43433 96300\n18566 24429\n9280 49432\n2376 80545\n39645 85531\n59345 86431\n40874 82116\n15671 72017\n59431 61109\n9682 38449\n7418 90525\n59003 81413\n51349 89328\n16863 85302\n60842 85626\n84993 92719\n67150 85025\n1694 18492\n11409 18875\n33052 71785\n35311 46378\n25602 62994\n73724 80208\n8920 74389\n1071 48436\n20687 82219\n15550 87173\n28932 59965\n21845 47257\n41881 47979\n77553 90064\n14289 61187\n29758 90976\n51719 60910\n62258 79945\n37341 86482\n18412 54536\n10024 42104\n40810 66238\n29624 92168\n47703 82600\n24893 65098\n91576 97108\n52136 63410\n26379 94202\n19480 47137\n3320 71371\n28162 58075\n751 62306\n32166 69916\n31706 55492\n19874 47127\n31326 56415\n39168 54725\n14179 81564\n16854 30255\n7222 85292\n52918 91669\n23528 57258\n28281 83745\n5577 16513\n23384 46442\n36826 52966\n11272 93525\n72416 81665\n78489 86392\n25888 60497\n40769 70604\n3698 90012\n6069 97429\n4431 77265\n89688 94329\n13275 31935\n32250 38658\n8881 49468\n13235 78194\n496 81071\n572 65317\n89810 98664\n65468 79647\n44163 80058\n33131 35064\n19446 22164\n25084 85936\n73031 74466\n54034 86839\n22642 23861\n66273 91935\n33944 49809\n39958 94853\n12779 93309\n35320 83230\n5780 59806\n82920 97100\n64629 86473\n60585 99020\n48378 48458\n61893 85628\n14592 75231\n65764 98123\n49228 74762\n9150 49678\n37358 93446\n24839 56053\n28852 99984\n47837 94337\n361 39237\n19254 49307\n20550 24504\n14095 29506\n47386 78031\n61272 84735\n51253 64430\n43453 64339\n16334 92800\n11924 75290\n2920 96146\n19615 77684\n11073 51126\n63335 95121\n5436 26737\n3354 38725\n10232 95025\n68185 82042\n67428 93859\n12930 21829\n4127 15408\n19483 50934\n51846 89444\n49649 66305\n29146 30676\n24704 58625\n59837 68365\n31781 92451\n30109 58277\n48737 67113\n28180 36452\n22501 32419\n58815 93770\n11953 75286\n34745 44300\n26766 99410\n6227 92510\n2237 32568\n40172 87935\n18851 79024\n31289 68245\n32592 59690\n28161 46283\n8574 8710\n59235 87344\n46398 85131\n48097 78106\n39068 69210\n89101 99342\n17640 38216\n14286 39074\n54546 92784\n51035 92904\n38279 94507\n33213 63031\n68384 75963\n17391 89581\n33607 35305\n56367 94518\n25572 30023\n47232 60675\n29743 97030\n7898 19514\n3877 58241\n26078 64338\n34470 49229\n2527 71995\n53237 73029\n33687 91629\n5599 37350\n53038 74075\n2594 53414\n10966 55351\n1398 76509\n8571 53170\n30279 92050\n12637 42785\n6115 13111\n8082 10834\n35592 85607\n51149 76386\n13548 96362\n37882 88762\n85794 88729\n31299 76265\n87023 94748\n27110 93428\n4664 64310\n2167 4287\n44255 85463\n39589 57576\n32450 62990\n1643 86269\n12770 17950\n24309 34837\n40443 88548\n8343 94127\n1159 56891\n12064 96632\n8274 28793\n4043 57344\n52343 81550\n2158 52802\n36073 55140\n77518 84677\n6844 26573\n30051 78109\n7389 95056\n35998 95736\n10554 76012\n20916 45740\n3168 44317\n45483 59726\n19519 29634\n81927 86768\n7170 30477\n45945 69039\n40050 56440\n28693 30897\n44351 86664\n42743 74721\n10929 39659\n21858 94726\n44141 50682\n3868 82320\n5079 71506\n47641 62689\n61431 85934\n79841 96196\n15318 24576\n30418 99313\n53071 96472\n14662 66977\n37461 68545\n24444 38853\n29164 86328\n80221 96624\n35440 76257\n71294 92516\n53301 82674\n1379 14702\n16611 27002\n8867 56339\n65187 99670\n2953 79006\n83828 98089\n5329 29665\n61318 90177\n13749 32717\n26509 40543\n24998 62217\n12296 92102\n78619 92173\n12520 59216\n68337 73138\n44737 68564\n43098 48570\n53780 54592\n18865 31383\n27009 51505\n13483 96882\n67630 71113\n10750 16428\n1219 56815\n665 16492\n9072 88779\n42732 87128\n18054 88581\n72416 76092\n62582 66942\n66831 89025\n20708 28598\n18667 67318\n17017 91374\n6346 20196\n61841 78312\n9687 28797\n43641 44617\n17262 23642\n42717 54998\n19646 59506\n18124 24457\n61474 71264\n25337 51588\n366 22297\n34280 37153\n13789 22120\n22270 91911\n11512 12688\n54250 88689\n87942 91318\n36251 88104\n13192 27989\n50486 61925\n55730 76207\n11728 51940\n18525 79514\n41389 70037\n1409 90878\n26865 51065\n37589 67099\n17344 22612\n33038 99514\n6703 34744\n16154 71307\n17680 35863\n15475 42276\n9097 64582\n9775 24872\n39582 85177\n33426 38364\n41868 83760\n20227 83019\n33781 48370\n19178 32867\n59766 91118\n42246 47074\n64032 86594\n24565 87706\n9316 80517\n11365 29739\n39377 53890\n63528 88048\n6041 59029\n10317 24695\n22532 71821\n30621 59016\n26513 62977\n29950 60585\n14355 81852\n17817 25977\n28457 75307\n33830 40569\n3835 78253\n92331 96280\n15791 59688\n11166 20368\n17896 57442\n9814 47162\n4952 6855\n78086 90218\n12591 19757\n5536 90178\n26987 79509\n45507 88387\n18104 39603\n58778 67022\n63956 67614\n11716 62004\n31043 51906\n4251 24154\n11083 36442\n70122 72103\n43323 62039\n34062 37243\n87660 96419\n30214 50326\n65573 72510\n33805 81221\n31402 44004\n36104 60916\n21958 45490\n25638 32057\n4573 84642\n22041 85627\n13515 37025\n57028 72972\n72874 93093\n58522 61397\n77183 85215\n4201 54141\n55452 87088\n15179 43607\n20084 49183\n33614 54546\n9577 37014\n32374 78578\n453 4986\n57188 80302\n20140 86508\n88257 97727\n42349 44817\n12727 44422\n24432 68511\n14692 95056\n1597 23034\n46118 53538\n25847 93697\n25058 86136\n1595 40673\n45707 49799\n1486 87902\n55053 89548\n18947 21576\n70202 79471\n83272 89525\n11768 95783\n5780 43039\n56464 60222\n20994 78121\n3730 41806\n43971 76162\n40011 89399\n31177 55841\n13317 87482\n43153 74163\n21976 60374\n69676 86973\n39615 88727\n26463 53873\n25417 36948\n1896 2406\n4415 46082\n85146 93966\n86136 98915\n43289 45191\n71136 76234\n4176 96964\n39457 49868\n33222 66908\n29870 76810\n57040 82764\n62910 73414\n57289 65240\n48963 84933\n28197 48830\n3121 62980\n21 97340\n79553 95981\n35626 46410\n42269 78745\n13595 86883\n45055 73631\n68542 76534\n88162 98306\n20034 88606\n18212 64347\n960 8997\n47763 80087\n38026 76017\n57120 81014\n25515 62690\n922 97577\n17832 77590\n24535 74319\n10030 42871\n5375 8774\n12715 87855\n38947 49669\n2384 7257\n19984 99110\n3469 77067\n50065 79250\n9777 41592\n66945 77690\n27171 30135\n61216 88077\n58708 80264\n2668 51080\n10059 31023\n34637 84578\n5809 38636\n39431 70003\n55199 77173\n36 52528\n21784 43141\n9657 15520\n1394 67541\n34086 78572\n5701 65202\n44648 84043\n25655 74375\n92612 97085\n61614 90494\n50446 56139\n42375 73326\n37400 89931\n49266 66786\n50456 58082\n23845 37701\n65556 78963\n8038 63100\n36429 93829\n85407 97023\n3806 95561\n43959 93058\n10678 49743\n25323 59176\n1059 22795\n12627 66094\n36118 60374\n14626 72592\n7702 92143\n8301 56773\n21663 24814\n30209 91323\n30381 82994\n37582 40739\n29770 52943\n84610 92836\n32077 78529\n33787 40624\n6951 21183\n53386 73982\n44589 45682\n72739 87306\n23868 54257\n5103 28933\n25167 66991\n48845 56572\n6045 71128\n578 85028\n30296 39551\n27145 87076\n4999 35096\n1916 27416\n3713 44274\n22534 31021\n35415 87681\n63039 92182\n54821 60166\n34571 64504\n34683 41126\n70307 84087\n8146 11164\n17574 32164\n67091 93448\n55407 65632\n36404 60123\n14709 64184\n44629 57082\n23422 25194\n77415 86276\n7803 54405\n48832 83558\n20758 73658\n40668 79194\n4365 71806\n31367 85191\n3852 4270\n1994 19828\n22627 37576\n34949 56289\n13127 22006\n18954 55229\n25415 34015\n4577 16951\n49728 51759\n27519 64125\n13149 99747\n37056 78350\n27105 46056\n12676 92713\n38019 63266\n7077 91768\n32156 80606\n50321 96555\n71417 97201\n31003 92339\n31832 68439\n47480 99101\n49639 93225\n41074 43612\n21164 67536\n23967 83481\n22408 58701\n52159 60664\n38685 96157\n39348 46761\n24484 27015\n942 35379\n21709 62790\n1841 41364\n51870 68138\n59785 99162\n42947 71085\n53835 65374\n38126 81015\n43699 71646\n44143 85884\n64135 89133\n46149 94086\n23682 68290\n36998 86746\n7538 76542\n37721 71047\n3896 60897\n5737 96942\n13970 55838\n858 41033\n30198 57465\n20581 83223\n17449 20407\n15358 52788\n18528 95692\n28852 70327\n57072 66262\n27126 63491\n64774 68263\n44560 81808\n44182 88787\n6271 63784\n20697 35146\n50564 62225\n19300 33864\n77784 79168\n13174 88598\n10578 14947\n9445 38346\n2213 19773\n78637 80040\n75000 84574\n6982 37537\n15840 20828\n73549 99474\n16890 98095\n34232 97493\n417 12783\n50132 71299\n38108 54694\n87252 89201\n13215 55955\n58362 61156\n44867 84265\n70037 97365\n31099 81539\n4716 15939\n84 31953\n23718 89161\n24661 48570\n10961 75294\n49879 80453\n58524 76351\n42244 89577\n80323 87312\n15073 95801\n39787 69776\n58751 69329\n1419 53423\n69328 99901\n77261 87176\n22091 86343\n3304 96988\n7227 11520\n36369 81532\n38964 89078\n76929 81899\n46033 98375\n32544 99945\n26443 89620\n59229 72895\n10144 49502\n13571 47934\n51498 63366\n87956 93001\n13742 31523\n39680 46058\n18852 95577\n65934 68920\n14417 42022\n73711 84101\n64712 81302\n19749 53236\n58927 79855\n54289 79910\n72171 95305\n24957 57746\n35266 58792\n61254 94534\n59901 62861\n29141 49300\n48893 79306\n45702 52312\n43627 71127\n64595 91332\n42910 83146\n2314 15130\n12307 65314\n82923 95474\n25578 71711\n46336 58524\n40097 80069\n14619 15247\n30197 67636\n67606 97762\n10368 54775\n33423 48912\n56587 70536\n17072 96806\n20597 33340\n27638 33918\n13391 87107\n942 36732\n21344 51067\n48648 55296\n26717 67163\n37244 61094\n84961 88669\n79175 83772\n20392 86307\n7541 97454\n15065 67471\n27547 73725\n5824 79345\n65764 68429\n54957 62326\n17159 80952\n67378 73504\n64393 91856\n748 7649\n49318 84679\n12781 44666\n19901 22944\n69751 89644\n7239 39533\n35580 93877\n67326 70770\n79724 83444\n66199 68697\n1740 92073\n66224 98448\n10110 41875\n6515 13967\n35532 72354\n36183 39799\n11052 34697\n15818 80414\n43578 98145\n28897 80271\n9836 79952\n16491 57856\n1366 83915\n5792 46181\n28081 67594\n4133 94249\n24157 72581\n31334 89105\n42258 84126\n38121 79874\n9057 62225\n33144 99436\n19987 88688\n4121 64750\n46578 98345\n34102 73605\n18560 49382\n65588 96404\n8367 10653\n13939 41260\n8471 53048\n13532 69913\n34505 57383\n29014 82360\n39421 63606\n34119 66222\n43035 64807\n10585 12257\n59733 60748\n26340 34966\n67117 76224\n61205 70311\n70132 79764\n35621 92971\n67523 91482\n39512 89971\n20113 69450\n82132 93666\n24321 47051\n21389 88664\n44846 91442\n78624 94925\n15242 79672\n4386 6555\n4346 74597\n71937 93289\n6606 58223\n1659 57568\n85079 85840\n25975 46635\n16698 69958\n14084 94317\n30448 89453\n12937 95478\n15749 25595\n6111 60797\n66412 77662\n82167 96773\n54365 65360\n17683 89558\n24542 70292\n11831 55782\n2925 77811\n69236 74421\n54681 55345\n7112 46357\n49030 91291\n64892 77579\n35007 62842\n29324 54721\n24163 70976\n40621 53026\n41720 64402\n8948 72837\n1932 35120\n7067 56794\n52211 65777\n71605 83480\n22517 79609\n38597 74382\n18078 45559\n9623 57651\n23350 42122\n13488 89340\n27021 55021\n52983 86559\n9055 88791\n69892 99048\n26236 68754\n16498 58873\n45290 78075\n24893 51742\n9924 25234\n52371 85807\n83535 97546\n11267 59221\n5922 95813\n6357 55514\n29192 73415\n51237 53207\n33707 90418\n30777 86752\n8309 46497\n18747 82796\n41536 69023\n14240 17687\n52669 99216\n8030 18687\n27933 31085\n21126 94386\n13805 34099\n89999 98838\n35388 97128\n25801 98128\n17825 59269\n11996 49182\n46165 93035\n80640 91789\n9668 28568\n79978 90157\n18327 28498\n68541 68580\n68933 77640\n74723 91588\n41340 81514\n5001 14298\n12977 14902\n77325 78802\n70582 77258\n1802 71426\n33043 89063\n32035 82653\n28070 52571\n67789 70838\n9508 20927\n16029 76538\n77280 94778\n17460 88915\n18399 38462\n12918 17330\n3090 93334\n15990 26548\n3519 35422\n33933 80764\n37372 60002\n9035 84518\n76061 96124\n7610 77043\n6255 39447\n18278 45542\n35042 99278\n84558 86322\n68395 74581\n6154 9729\n22913 28836\n5246 88717\n23458 44998\n54981 70853\n6151 23338\n4058 25467\n49504 51089\n67909 96289\n22733 58885\n61317 85702\n71214 79111\n72680 91099\n38484 51500\n32672 47631\n30434 98886\n19222 90920\n25464 49317\n35488 52961\n30226 78651\n27452 65845\n8340 87030\n39614 92814\n61735 62128\n14975 40683\n34124 35980\n15819 68802\n29739 69578\n24089 76127\n31691 70013\n55817 88234\n63830 97197\n45112 54929\n25286 80669\n57927 62185\n20861 95975\n62812 86812\n18266 90248\n40693 48878\n20835 87498\n24694 85372\n83883 98492\n33546 38662\n13576 91005\n19156 19445\n12303 60480\n3945 15570\n27108 79071\n15557 55907\n28830 34803\n21465 38669\n50462 95474\n9378 66278\n32491 57052\n10089 36300\n69917 72426\n45774 64932\n87885 89495\n8064 15981\n38968 96250\n47379 81894\n79194 91936\n26917 78487\n21817 27505\n14415 91276\n48269 93425\n165 2607\n34795 39307\n1753 42528\n13235 60426\n25771 46755\n47983 95876\n14568 94493\n41011 98820\n15706 98806\n5000 12549\n53106 96130\n73542 96893\n29839 55329\n18491 31937\n59512 99901\n72022 98633\n30937 41837\n15835 88812\n46934 72771\n25536 92050\n48890 84949\n57602 76853\n87441 93367\n59454 71898\n67649 73201\n6757 90457\n49111 54848\n46750 79793\n14974 56505\n42132 55562\n12959 68285\n51159 70473\n11829 26012\n4168 12109\n31866 46715\n46954 53241\n38594 92032\n53486 59234\n3317 35042\n36894 70605\n53708 72050\n61406 61984\n39897 80445\n16038 65892\n27968 74753\n66972 81569\n43935 64861\n10229 71196\n23798 98738\n6644 39482\n49 70387\n37864 79761\n49414 67421\n35998 66379\n25990 53962\n17549 66708\n26905 76916\n12335 50968\n12849 31960\n17250 32846\n50809 98041\n1250 9575\n56638 78045\n8157 83811\n18493 42808\n39375 56914\n24711 55875\n31172 33315\n77727 93791\n45244 98822\n59462 62375\n62080 79277\n6644 97358\n48543 55125\n25851 77633\n20847 33897\n65047 68544\n19352 73547\n8744 33491\n67250 71984\n12276 56144\n35842 73294\n34539 43812\n44824 85416\n23163 52181\n9206 83464\n8218 25602\n9102 93951\n6010 15908\n32643 78295\n16712 96862\n10073 16644\n30001 64040\n11580 33781\n11978 88227\n17402 87395\n31966 69783\n62855 76049\n22775 46327\n74237 91501\n10346 19355\n7958 16383\n22570 99156\n19727 37257\n5875 32130\n44175 92314\n66884 70612\n17651 22884\n15651 85065\n17995 72842\n21347 50604\n43749 81515\n26044 48288\n7231 83955\n32234 69101\n83598 95427\n27470 57143\n19958 79216\n50579 96779\n20765 81366\n23389 23911\n61025 70680\n23650 26219\n61421 91922\n23786 73287\n44010 85819\n48959 57004\n79012 92002\n97966 99064\n27005 89039\n521 65112\n21522 65765\n12808 82313\n3251 48403\n46192 67753\n8762 64693\n38627 70453\n33522 58780\n78731 92680\n95313 95655\n15535 89838\n14536 48014\n40130 45553\n11329 36380\n45587 66534\n15707 25476\n6021 25512\n48135 98527\n15552 31270\n48271 76971\n85351 99211\n45893 60206\n34970 38990\n38488 85708\n23048 83025\n36574 83001\n12754 58498\n7512 93450\n25887 50060\n32002 89855\n72121 72167\n45868 65995\n43131 86528\n44628 45620\n13065 69751\n21373 55604\n84901 93367\n52174 75897\n7802 82139\n79336 92924\n14384 19738\n11676 17081\n15391 20523\n11427 80495\n22005 27447\n30159 82097\n46811 71217\n52993 82407\n61868 84633\n20844 73126\n22255 73394\n79368 95699\n9252 18541\n13484 22967\n27211 52309\n49394 81651\n11967 35727\n29397 48595\n55370 67717\n3531 46714\n3037 37846\n24835 57838\n37605 65896\n19483 28439\n40229 42732\n10766 86866\n53582 85788\n51372 84953\n42293 50805\n11198 75064\n586 9496\n33571 74854\n50292 68791\n13153 49435\n4212 48760\n4771 82992\n26395 41088\n9028 25494\n19373 87654\n78554 86119\n43186 63936\n36525 52574\n34352 80974\n51208 57601\n90535 97723\n18628 47386\n76163 89940\n3626 30226\n44549 79260\n32071 84589\n62770 64303\n45931 78518\n41498 92405\n2174 87534\n19235 87092\n13266 50173\n28077 40325\n24199 30932\n39240 85091\n39220 76820\n49157 94480\n19849 77860\n1733 70531\n58588 84374\n37191 90795\n11508 15716\n59791 75237\n29520 29853\n3783 14436\n16879 59499\n46304 61072\n55250 72349\n62304 87218\n53997 78844\n10372 58641\n22689 77740\n91347 99075\n57519 69439\n31477 88479\n44167 52545\n22844 33401\n7417 35828\n56484 96252\n15734 35038\n14262 20401\n18511 54442\n86943 93418\n861 60680\n21874 40159\n85630 94000\n61011 78634\n37983 44742\n33687 64400\n17618 71857\n21488 60992\n193 66250\n20190 84272\n34645 82859\n6197 43273\n6800 40796\n37926 53038\n7199 69458\n61854 68274\n80641 93847\n40573 45432\n15190 15280\n10351 33857\n62960 69708\n42779 90800\n50990 69473\n70664 90439\n4177 25690\n2009 61127\n14988 97011\n32096 51749\n23640 94708\n23089 40219\n81116 92254\n89419 99173\n48423 81015\n53911 90848\n26362 79182\n46846 48012\n52107 94353\n20616 99330\n98 55530\n47468 91018\n45865 68851\n17245 39098\n25847 38521\n67039 90450\n33888 44704\n56807 85530\n54605 95774\n14784 45163\n19519 58406\n7284 28755\n22693 82077\n42887 82403\n78078 97011\n69874 71234\n27987 94801\n58444 77590\n58133 98681\n51946 90540\n1565 10873\n36259 61779\n69403 93067\n22657 95475\n40829 69670\n8798 75024\n47297 78142\n77706 78469\n62468 98409\n7066 49415\n81 10593\n28506 92527\n14289 73767\n54900 91275\n38294 42622\n40213 95255\n1478 57538\n43000 57587\n60713 85730\n79268 88929\n38114 97668\n20109 31882\n63117 70831\n32874 66875\n846 1181\n18979 43794\n15517 68073\n64049 81123\n70461 95630\n9244 17989\n48109 55112\n19970 22528\n36001 86540\n9781 80642\n17344 87879\n25470 84885\n12770 19697\n2101 27170\n5749 56080\n50947 61920\n2087 78696\n80039 94286\n70762 99126\n70556 97141\n5606 16691\n7438 50663\n13704 99765\n8930 97391\n21458 78962\n13494 61740\n9936 76568\n7544 13632\n30328 75554\n22693 23664\n11640 14852\n33096 58088\n73023 86515\n20093 28396\n76542 88804\n52973 92244\n40519 56695\n30279 42453\n44930 60426\n4655 16962\n32337 59008\n25282 64131\n12855 33020\n38448 41817\n46560 64765\n35660 55072\n51023 96904\n18028 64860\n30133 96347\n70701 72244\n44977 88560\n38921 90793\n83113 99770\n81921 96353\n26722 43111\n2517 33077\n60718 96418\n14336 77470\n60262 94990\n20042 95409\n28624 80228\n31827 89630\n75013 89682\n23799 81067\n32382 53480\n24841 83251\n35660 98461\n32101 85453\n39618 91807\n28302 65334\n63437 80549\n74280 94015\n43917 76574\n53232 82592\n26348 54343\n73026 97192\n32651 61959\n89 69910\n57225 70609\n36592 71404\n9679 13868\n23155 38918\n66768 85361\n5735 16581\n4982 84504\n34830 64318\n1898 15634\n30493 77917\n37167 66106\n61727 86893\n7623 62438\n48288 86805\n30739 91528\n20620 21849\n86081 99199\n33784 46835\n24635 27586\n5302 96046\n39081 76802\n17561 90734\n5466 89091\n2197 15104\n7688 14518\n51815 92192\n6797 52856\n47188 63963\n27725 88584\n49986 72821\n37850 84283\n19456 81925\n13353 71143\n56400 77535\n23855 68624\n2958 57362\n43402 77812\n16429 68898\n15345 73386\n57945 85141\n26816 79034\n32058 48479\n25447 34260\n46990 90286\n6618 45103\n43773 48730\n77188 85597\n12074 74406\n17285 44299\n48968 69353\n18268 27527\n21716 79021\n67641 79043\n19857 27163\n30648 85910\n1093 88855\n70353 94427\n28270 80128\n21880 43795\n62802 96771\n6835 99054\n23829 77256\n57133 86101\n74982 83937\n34384 44780\n30793 56478\n73253 94898\n42949 57784\n36693 62976\n24700 31125\n33883 98206\n10180 80479\n25835 43390\n17239 20209\n77030 99348\n46539 78813\n78752 93377\n8057 83625\n11877 12310\n12569 20191\n17893 21757\n23858 77396\n14721 16107\n7703 61525\n45557 61585\n6987 40658\n38153 38622\n53491 80144\n10105 56914\n21833 22566\n71210 88047\n38829 93851\n48985 55991\n14246 97252\n12626 97812\n15728 92361\n63082 87536\n48852 79730\n80719 88092\n90508 93689\n14131 48304\n19993 44086\n10293 78971\n53273 58381\n35420 51736\n29385 65444\n57513 65012\n25283 89234\n38256 38361\n41368 68734\n55542 78238\n38016 40517\n16833 81094\n90295 95036\n18309 33778\n37368 81015\n5688 75963\n35374 98457\n50597 96982\n59431 66249\n36329 45983\n8965 38643\n28479 43111\n43044 72274\n40710 52372\n33336 64424\n6604 40171\n6900 25332\n36379 69543\n53743 70264\n81443 85558\n37599 89427\n49981 90850\n54437 96580\n65562 84590\n32992 68502\n6912 42737\n28392 84444\n1354 29079\n65879 85019\n17347 50327\n54 49951\n55937 61143\n6564 15511\n19787 53500\n81917 88772\n39451 59937\n804 14610\n20914 97660\n35113 46072\n25522 40786\n39109 42485\n62447 91692\n14351 50229\n64156 87177\n39946 71346\n49447 60872\n7705 85176\n33201 88731\n78730 99707\n10862 38331\n21848 51759\n36045 36534\n7850 71601\n49933 51297\n88909 92617\n28217 58380\n18897 31670\n13635 23817\n69603 74692\n70310 78093\n60363 69087\n22954 30576\n52679 55704\n5136 82169\n45849 73414\n40384 47889\n12144 15724\n31968 94328\n20062 55786\n14533 46973\n45954 65467\n987 44981\n41575 80927\n22495 97264\n9647 54729\n26778 52963\n27291 95264\n1372 76133\n81440 88695\n40397 82296\n69751 81103\n34855 93135\n10354 11146\n25748 60070\n5216 83212\n21210 37722\n42229 69722\n56438 75004\n4602 73013\n24778 97988\n17444 77099\n8068 47307\n17951 62034\n25898 87126\n13748 39547\n25601 98607\n37652 63061\n52053 97860\n33623 49477\n79484 96770\n11102 72234\n18803 23589\n47441 51734\n28133 81873\n48901 61235\n11491 43594\n53272 98140\n238 91329\n11998 14531\n50467 64031\n10394 28403\n142 27632\n22705 92952\n79148 90601\n10387 91065\n56033 87547\n15316 84392\n50997 55333\n31423 47323\n51243 96366\n63106 97497\n55922 65366\n43291 76257\n35736 65441\n19254 45574\n45329 57568\n16188 41409\n29404 42567\n36704 80405\n5072 6482\n46299 68310\n33964 36150\n7219 15318\n16401 97517\n21379 60947\n40439 83895\n1359 58250\n25149 75330\n21874 60866\n33433 70196\n19601 52744\n15793 85317\n6937 24707\n12006 63578\n31570 91312\n60196 82314\n1544 82081\n14751 76478\n14012 17615\n2565 22271\n90531 95647\n11599 99745\n27554 95300\n7095 31027\n98567 99872\n30346 53253\n12991 60433\n33033 83317\n7735 35730\n783 98511\n23991 76202\n25534 78853\n27854 40513\n17268 32405\n79145 86353\n25684 68872\n13845 55010\n48641 67568\n18518 56464\n4586 85685\n23935 47238\n8784 27875\n51448 91508\n48770 75178\n23075 85810\n59110 59416\n65237 84116\n12209 59949\n8021 55679\n44919 59438\n6813 42288\n3310 32115\n2359 96126\n51342 94374\n50488 88978\n9598 74641\n57433 84383\n12673 58294\n5750 94033\n22082 70118\n35025 60028\n67220 81487\n61554 70457\n78261 78410\n46642 63928\n20318 31216\n15909 57816\n48216 91164\n38943 66240\n75047 76132\n21056 68620\n45440 59966\n23556 24067\n21221 49427\n52420 55513\n53328 55408\n7531 17586\n17104 58476\n41293 80497\n49330 55843\n45836 76125\n18209 28953\n5399 59621\n77898 81628\n62751 75688\n12378 92815\n470 83506\n86600 96324\n66940 94476\n45867 97007\n1097 95722\n61375 89002\n47354 51414\n15099 96983\n4757 48572\n34683 46877\n21976 26968\n29511 33568\n33587 55555\n34457 38339\n67299 90599\n5114 56123\n68643 69093\n49819 83253\n13693 68190\n29004 39742\n14480 77113\n40759 88449\n49568 83410\n13152 80036\n20405 61879\n51253 96161\n6683 93384\n59071 81738\n23536 39949\n12579 68424\n13218 98066\n65643 89120\n22624 25782\n64648 83407\n19510 30483\n3225 94321\n25856 65956\n50569 60664\n55794 72013\n29443 79290\n42449 47442\n40560 59587\n75487 93403\n35772 98403\n56783 86077\n9751 58715\n10453 53508\n21659 71440\n3453 84854\n21894 68536\n7016 45763\n36889 66124\n56010 80891\n31602 86125\n7906 69763\n63636 95904\n37686 48691\n138 12601\n7747 23160\n20351 69542\n15276 44018\n65926 74932\n22000 39749\n71609 97116\n54053 66039\n28604 67849\n33176 67609\n10121 75434\n23999 62856\n71665 95997\n45471 57969\n1636 57838\n13869 71832\n42669 84616\n2670 20813\n29145 30242\n55455 78780\n39109 95452\n85409 93167\n68319 88319\n3535 72175\n9218 53811\n55513 85012\n40470 69645\n72864 85700\n76787 81722\n4321 97893\n37750 75580\n30665 88524\n67968 98708\n8507 60628\n29917 41417\n4123 76636\n27204 62222\n12159 73705\n21870 49833\n13917 49162\n78498 80579\n33175 88585\n27915 37602\n63375 86314\n8548 33038\n25923 45687\n69440 95206\n52010 84504\n49566 79235\n21548 69704\n35639 96832\n71427 85567\n40997 94579\n3830 5334\n6857 94820\n82655 93604\n69125 87447\n24243 83058\n19135 50680\n79616 85037\n25504 64273\n35261 73515\n7193 68899\n33355 41935\n39711 69391\n5781 69948\n22933 80252\n48564 93972\n64399 97882\n40758 76253\n66106 69676\n24437 88672\n14058 53185\n17537 96511\n17199 52689\n5940 65106\n53464 89229\n68481 73202\n95587 99944\n61246 67817\n66733 99375\n7592 12502\n67262 83151\n7217 31811\n34123 98817\n39493 79008\n12200 86543\n4352 88428\n10439 66103\n11889 73464\n66758 84260\n17045 87323\n21999 84908\n161 32979\n3243 77192\n6578 29902\n26844 28186\n41768 81468\n33055 80826\n31141 54814\n25048 82198\n24516 29550\n53407 75219\n37796 87943\n1526 81106\n27524 45003\n41160 69848\n13883 37204\n37799 81149\n59705 94480\n31222 57053\n32927 93342\n54902 76817\n34342 72080\n13389 94419\n32749 43541\n24746 86638\n21977 99955\n15838 95263\n56123 83210\n1201 31214\n52888 56811\n58629 95083\n31472 56140\n11744 84771\n25658 48614\n17238 38011\n40611 56004\n4655 90210\n31578 61375\n1944 67871\n10747 61070\n4466 71517\n61892 95676\n1822 47888\n45122 54944\n80490 87290\n46453 83179\n29181 89998\n3388 17392\n6606 23693\n38400 90844\n29972 31371\n2094 56271\n2582 61823\n9674 14670\n2217 86897\n45272 47895\n37872 45369\n23972 34051\n3518 36963\n37913 91238\n15228 37699\n19866 86564\n7911 14042\n52138 65142\n59356 87442\n24559 84665\n18502 63586\n16368 55343\n16386 17803\n20428 38940\n23108 63668\n26416 59542\n49272 69402\n37495 54095\n51236 75370\n12551 18191\n19864 79023\n37269 65149\n77480 78671\n20155 47017\n82675 90773\n14088 95975\n4612 78430\n62 69950\n50437 98473\n48211 59182\n72273 90861\n45059 72954\n59776 67082\n17890 53721\n18597 86546\n15324 88731\n24808 55192\n62845 93204\n18878 34183\n25060 81289\n48920 62623\n48016 94048\n16784 24311\n32958 98469\n38944 63981\n27300 28936\n24930 90979\n6763 33818\n50809 59880\n60396 98295\n12308 63661\n11933 84720\n43816 58372\n56699 81415\n19633 40651\n78815 80232\n19533 21306\n60341 98890\n58551 60649\n12602 76870\n45169 83276\n65492 91334\n57464 85205\n7705 83476\n24485 27490\n5438 89633\n72556 95144\n6738 18880\n34976 90560\n13790 79477\n4358 97620\n25221 70229\n58496 82262\n25228 39009\n104 76071\n45495 76082\n1065 57120\n28330 33709\n42679 85835\n1120 29418\n3380 6478\n87412 88893\n35012 58054\n11198 95865\n18529 77627\n47965 86457\n9194 83626\n79903 90892\n42824 63086\n31768 54472\n279 31494\n12612 19759\n11877 92111\n30825 99436\n27862 75960\n1953 45477\n62219 71961\n61916 76403\n43788 78378\n51057 77634\n82827 99482\n2885 70922\n80038 92996\n49967 50361\n19577 67344\n47996 58333\n15329 84805\n6648 38875\n29982 68118\n7030 82718\n52111 83481\n82048 96065\n8110 56192\n27704 46326\n52261 55928\n23470 88109\n29270 45980\n50596 95480\n1667 54481\n28414 71995\n45681 86509\n4753 40211\n18485 39388\n61371 90953\n1779 13339\n8583 40056\n9856 17542\n10968 56572\n8593 12680\n1911 7617\n6905 95176\n54433 59596\n85473 86464\n25033 84761\n39812 75109\n17277 79342\n61518 98776\n88566 98847\n27173 70549\n46267 53895\n80308 94664\n30156 40878\n43416 88583\n67846 96766\n56939 89426\n6778 53722\n59963 60980\n13899 64262\n54128 56761\n27630 56310\n16510 32881\n32422 97455\n67163 81008\n1466 61322\n19253 68235\n3895 49957\n14559 97568\n27347 35835\n15629 69224\n37203 67967\n10853 85740\n18175 66543\n16385 43188\n19357 65328\n31110 64360\n27930 84693\n18883 99336\n41524 59561\n49676 89905\n1061 5448\n42592 55975\n11423 36250\n35845 65327\n12039 33180\n49104 70337\n558 47684\n11716 24618\n21041 89022\n6067 46150\n9043 99431\n55072 93522\n94349 96898\n9471 26675\n879 12661\n40251 89063\n42176 59574\n20691 78707\n30087 95757\n7875 8721\n74773 79240\n50492 51175\n22591 31526\n1049 9312\n50333 97704\n33616 61366\n489 29153\n36389 56872\n27098 33848\n59726 60939\n8940 31127\n52409 52803\n30661 89493\n53803 87665\n70729 79158\n11913 95744\n2867 48337\n49523 93483\n73699 73713\n25802 71245\n3940 40774\n52946 60536\n18946 65717\n1431 40031\n3063 9400\n27352 86468\n6602 24070\n10318 76894\n73163 83014\n73250 86068\n44759 68277\n14803 17631\n70723 74628\n21120 61157\n15400 39562\n93635 94717\n52586 58060\n92123 92184\n58999 97612\n31347 93407\n37053 85502\n33693 95411\n6939 81322\n31438 62602\n55255 95504\n35332 43798\n14288 37661\n40807 55769\n11159 79754\n29239 68238\n22102 94046\n10138 62570\n92061 93330\n40001 64808\n43664 84225\n26710 53402\n3378 7197\n6522 23029\n64748 79472\n24171 37120\n48339 99133\n9299 52432\n34355 75712\n51278 55679\n24064 47422\n17491 93225\n69348 92417\n8933 53030\n53595 62737\n21922 83039\n29700 43701\n17051 88221\n31794 96542\n8216 50681\n9333 92698\n50644 95926\n5944 23978\n60182 62438\n19550 80669\n10675 59330\n45482 89263\n10019 65474\n26008 77887\n16300 40040\n32484 95125\n84810 99738\n498 40493\n23251 60444\n81591 85061\n15881 49815\n49817 96568\n43771 99868\n55525 75760\n62260 82492\n10518 41309\n7459 16181\n50918 81393\n1229 86637\n50016 55357\n68054 75826\n47523 91330\n25769 86751\n14098 34205\n30830 48815\n33721 36061\n63885 71401\n72738 96524\n71767 96325\n22619 52909\n17365 26405\n36319 65397\n2519 61336\n7507 85072\n51056 91124\n1099 17415\n48088 52955\n12891 95698\n36237 36986\n24686 69343\n69657 97685\n68643 82084\n8477 58328\n38101 43835\n33953 65529\n38619 52662\n70814 77506\n36470 36544\n12843 54583\n34904 46342\n64826 89814\n29231 55396\n59234 88297\n82636 83453\n40183 84662\n45818 67089\n75759 80241\n46098 71436\n56535 85746\n12019 50094\n12707 84974\n10553 83387\n57266 71265\n55168 73467\n61822 94161\n20598 81724\n63496 88127\n7483 63166\n7398 23603\n29096 46558\n58834 82738\n11146 91649\n37077 97523\n4176 26098\n61292 92305\n67239 99456\n6027 77937\n48135 61979\n9478 91367\n21404 95757\n52192 85908\n60092 67402\n67735 87656\n48096 86443\n8798 26027\n21738 90096\n3239 89481\n99403 99514\n7692 45478\n24890 76542\n53691 73497\n33906 75079\n16510 71683\n26256 80697\n43285 49790\n7287 96952\n28192 55468\n75493 88960\n42074 76675\n55785 91482\n30999 98665\n19216 72821\n13553 44692\n743 48292\n3024 73996\n1754 41518\n3810 12770\n51798 65729\n92920 97390\n28791 66132\n74100 79080\n29354 58332\n33292 83884\n73245 75003\n77457 98317\n31406 62723\n40787 55916\n29217 94724\n44850 93886\n27075 88184\n17378 69591\n109 40661\n30909 58643\n85262 91361\n66441 78755\n58484 89154\n6061 91308\n44555 85939\n82042 83026\n52099 59433\n71375 90832\n31881 54400\n27704 76973\n2982 75735\n1513 63027\n15403 70139\n44475 71643\n41210 74177\n47010 65117\n912 97542\n7675 49928\n30897 94549\n1578 72994\n44581 94968\n39873 94946\n34876 42455\n34534 57970\n40337 82569\n12955 67914\n5020 38861\n9011 23682\n3538 74520\n20943 55828\n3317 38653\n36273 59626\n65205 71740\n28618 79136\n13965 46146\n7280 10468\n77227 84271\n32418 79224\n9593 69758\n13612 30195\n94312 99254\n20428 48696\n15693 71742\n76784 77800\n6412 12775\n28970 67865\n18536 39750\n6972 30790\n22992 91012\n38372 66215\n81507 93357\n87689 89101\n32539 62676\n5646 24747\n44739 75103\n28722 47202\n21098 30029\n2875 16885\n29006 58852\n17399 92544\n80066 97420\n9778 49042\n68347 88857\n8322 45150\n36903 38666\n19993 88677\n11699 79796\n55166 99462\n51923 53834\n19951 26038\n30800 75426\n38858 97110\n21009 49734\n90587 95155\n34326 39777\n57385 78050\n35566 93306\n23039 62540\n17512 57000\n11100 14167\n22429 76867\n2159 53182\n27648 83779\n7368 10937\n27251 59395\n52018 52306\n734 35211\n61978 91524\n38903 86892\n18142 50028\n21767 80011\n71760 83819\n7025 61391\n53635 70149\n24042 97264\n38289 69103\n14019 73944\n85392 96315\n22224 96594\n33604 94172\n51366 98598\n53678 78487\n39043 80762\n49298 51605\n52648 95251\n5026 87588\n32576 36600\n2620 77069\n23841 66521\n5234 87495\n50917 84207\n80572 89037\n5606 29303\n3088 46177\n33594 43651\n7241 97663\n38911 45700\n6819 49253\n30229 33450\n2789 67801\n19084 40235\n3162 3373\n16234 62916\n48026 95656\n14037 50258\n15374 56169\n20877 58041\n30048 91926\n95694 96524\n18603 85147\n48243 78742\n70260 73302\n9671 18093\n16620 90389\n72410 91390\n32719 48355\n17354 76625\n14307 65373\n17074 92492\n1700 58557\n36136 85625\n78334 79957\n4553 81378\n5595 14160\n10833 72933\n28476 29537\n33276 93887\n39351 89144\n18913 92681\n94 85624\n13707 51019\n54463 58919\n3309 76406\n49552 56479\n6636 95873\n47425 89532\n4821 78875\n55143 69694\n4410 69623\n41416 92583\n65739 84965\n13689 82214\n56941 80447\n21051 33783\n16785 87019\n1699 74220\n48770 83284\n62904 92982\n20350 79665\n58076 91035\n4776 30252\n54883 68690\n50465 86567\n31816 37887\n49875 75413\n8389 74851\n60053 85275\n32 54754\n45416 52265\n54426 59873\n7591 39613\n48901 80522\n35552 77172\n13496 96832\n73703 82799\n6223 19702\n29987 30926\n59256 88536\n76645 78882\n25773 51442\n79787 84668\n9160 68971\n44625 46356\n28749 35044\n76731 97724\n27853 97905\n6637 55279\n68272 90625\n39822 59518\n3311 93935\n28104 71615\n38032 88802\n11828 41766\n8050 49373\n33590 77074\n8142 52750\n4535 86699\n22957 93131\n25330 79971\n47126 86448\n66696 92435\n45452 57280\n10975 27439\n45620 90949\n65026 94917\n15925 66687\n79565 95511\n63621 81408\n49925 88460\n22950 24072\n80 96185\n20564 61351\n34781 66884\n39934 55911\n19455 72775\n65631 88256\n35997 49173\n47264 60475\n11863 34417\n84023 96423\n31213 89109\n7732 31968\n17640 73630\n49450 98324\n44152 81351\n11218 58878\n46694 74280\n5705 51782\n39998 48128\n20018 64306\n31475 88893\n16496 56713\n34752 40259\n8094 22108\n90104 98897\n40872 52731\n67771 95141\n39037 52571\n5268 66538\n36093 75142\n27051 59399\n47239 67452\n67091 91836\n64431 76921\n12405 76721\n51680 68154\n19965 35527\n35492 82863\n7963 19056\n90205 95958\n17286 32996\n17672 49277\n54554 66757\n38829 90645\n15132 76469\n46294 75707\n62042 65337\n46683 55591\n40956 94491\n848 43710\n18935 97886\n42789 84085\n46719 86494\n17987 20212\n66822 70990\n95580 96708\n65115 90094\n59883 91251\n22530 63778\n70183 74184\n14442 36540\n61453 63220\n36860 92482\n39283 42237\n16663 71663\n63569 75502\n17542 41006\n5206 10749\n3035 5400\n575 58119\n6981 32625\n70654 86372\n55618 91267\n12316 93675\n43608 71285\n22738 79552\n35782 83262\n66640 93803\n27453 61964\n7876 55230\n24427 85389\n47107 72803\n47245 53187\n41429 79281\n21891 43266\n51105 84676\n59228 74010\n52144 93816\n63673 85882\n25 89821\n33321 38476\n37706 77180\n51671 72266\n59683 62114\n82183 87719\n14622 96938\n9645 78985\n83231 91917\n51829 83542\n57357 84626\n72510 97160\n38308 64254\n28169 50040\n35573 96631\n5255 39410\n6691 75661\n16362 23725\n3617 74038\n71046 79035\n39758 63169\n17124 85761\n15785 27105\n13042 35064\n10372 35887\n73390 76559\n8243 23005\n19714 40276\n27451 34206\n43032 72281\n40516 90316\n18409 42282\n229 37372\n43803 93300\n9523 82559\n46944 88512\n64433 74138\n34142 66304\n10593 23416\n48222 85040\n42852 60800\n10471 96826\n42328 99059\n24098 92642\n63573 87246\n4848 86136\n1473 76130\n34077 48898\n33463 37271\n6495 95043\n18179 20826\n2473 57585\n564 25462\n47950 93098\n26086 36893\n49908 84633\n44781 87633\n33478 80025\n59642 65079\n22817 89287\n48831 78047\n28036 37259\n55401 89073\n91005 91256\n20738 43005\n9187 37095\n50299 63542\n58992 76524\n506 21053\n7205 16743\n74909 87713\n32933 81829\n17022 31792\n39499 43390\n52494 95159\n4471 49536\n113 71899\n51026 89175\n12228 81677\n59118 66290\n19004 98795\n33607 69737\n834 59938\n32219 59462\n46017 65348\n1176 63425\n35874 43186\n3949 86190\n21661 37863\n33114 45102\n82194 92279\n47323 81639\n26044 64187\n56315 72211\n74564 78715\n90862 95989\n20976 37447\n65702 76880\n73575 94116\n426 70625\n2700 39201\n55229 75396\n15682 96330\n73811 84513\n78061 81719\n21708 35757\n40666 91309\n41436 72484\n39162 79601\n12426 81665\n2159 55935\n58814 79968\n35368 50525\n34059 63418\n15740 28152\n3131 78348\n16971 28411\n4855 62644\n4803 14032\n50508 80479\n20880 72629\n65489 92353\n6160 51678\n27881 58225\n6096 25783\n10487 45133\n80694 91742\n14247 65961\n1142 96959\n19488 90487\n42333 93881\n43878 58793\n30075 73315\n5067 82916\n56712 84308\n12770 72366\n39848 39851\n4483 4926\n24998 61469\n61862 66466\n39524 52671\n46498 46798\n29316 70831\n48946 59141\n4399 52021\n87703 90347\n50520 95725\n45967 98063\n14281 93633\n60274 63941\n4601 13255\n1648 82278\n85467 89554\n44572 66527\n14633 96145\n2079 20285\n62325 78043\n10795 86919\n29143 94897\n3179 41570\n26538 55912\n25015 75615\n9669 27183\n1371 53749\n601 99822\n12552 64100\n28069 72992\n8130 29758\n68491 96161\n49897 63441\n71654 98045\n12034 65658\n38587 49885\n36246 98638\n25405 96061\n35166 58311\n53294 57186\n9059 99042\n24883 40260\n50998 62079\n70894 89131\n26115 33582\n57292 92798\n25826 70682\n28013 89490\n45683 71788\n19064 52367\n51519 79324\n51927 77118\n62552 80593\n50725 52303\n58255 90835\n34826 47973\n61129 96827\n12069 15956\n15080 56968\n12823 64418\n14821 64156\n7321 8137\n61335 98228\n64323 70854\n34557 42211\n1589 9351\n18753 93400\n65153 79873\n54921 85302\n59516 60910\n18611 77745\n9395 26730\n3035 40443\n44523 66206\n851 42861\n19925 99693\n41563 45980\n11338 64367\n36147 43272\n15793 60366\n30918 41448\n20208 40338\n38038 84050\n45602 79139\n1090 1884\n43543 61391\n89354 91254\n22109 85490\n60854 68422\n29653 38435\n97 78158\n6966 28848\n41296 62195\n29957 39703\n9920 39339\n36049 75694\n38045 49872\n14605 85655\n4041 53437\n30200 72821\n43820 80181\n653 38873\n11450 90093\n33124 83308\n17408 84015\n50272 62635\n47688 55902\n46806 54851\n29028 81291\n1458 34854\n62386 66070\n6608 9795\n14864 37087\n69712 83070\n75076 92244\n3414 42419\n30838 78906\n9160 57174\n56799 72724\n42300 50738\n18614 50122\n1471 67775\n79332 94687\n49790 55500\n21285 68635\n72245 84878\n65454 78845\n91172 99618\n2278 72615\n2756 6692\n56287 91915\n38741 79412\n38599 43987\n51752 67358\n28083 37058\n55860 73004\n43429 48955\n94149 99368\n27159 92416\n32061 72046\n38830 42212\n73799 97066\n24151 91431\n13647 81542\n62995 70435\n5335 6715\n48565 50549\n50056 64472\n21536 29210\n7622 91920\n69526 83187\n6235 94906\n53800 83886\n804 18221\n60077 76326\n42518 68658\n24445 67312\n6571 26794\n11977 56399\n66392 87793\n91229 95092\n21135 45362\n1444 60100\n62505 93065\n45758 91398\n34739 89522\n42440 79921\n37305 62396\n6443 64071\n9381 27414\n2934 17250\n4562 6215\n95032 98489\n29942 75676\n28095 77082\n14537 20580\n23890 75958\n10087 89216\n53265 54974\n17582 48574\n29940 85399\n48804 90032\n24798 38521\n25119 98003\n45676 49922\n3674 55550\n24592 76692\n13555 34321\n40163 96372\n68115 71461\n40714 99617\n49609 87273\n2624 90917\n26632 89308\n21818 65811\n1539 78383\n15223 52628\n45053 87288\n44142 50003\n8772 17450\n60307 75722\n38899 41885\n10899 17862\n60060 75877\n39140 92688\n5708 75251\n80496 86049\n52098 90987\n59641 74362\n2562 34768\n13861 27358\n39991 40335\n62690 94235\n45115 89763\n13918 68758\n50532 96938\n54062 85670\n74532 99399\n43179 51903\n49790 61620\n52420 82268\n18103 23896\n14841 97080\n20477 39321\n59696 80981\n61080 97864\n24509 56977\n32552 43132\n22873 37797\n67532 98775\n1693 41705\n31504 89258\n2113 11253\n6021 41423\n24887 55539\n23389 66398\n19082 60897\n51523 66022\n71366 97195\n22565 87271\n65013 82423\n29052 58506\n50227 66135\n9796 63468\n255 14525\n56336 87141\n24249 39331\n14585 60023\n17301 52673\n55969 98675\n40567 91025\n4120 50423\n8130 62276\n411 63373\n28956 30260\n43930 46206\n78837 82698\n3403 23483\n39131 51233\n72203 72736\n35403 87164\n81662 84059\n17059 19030\n54682 98166\n10908 93816\n55874 96725\n23973 38558\n21793 60323\n41592 72838\n8500 85718\n24554 29743\n15210 57277\n3659 13905\n12931 99842\n37615 43870\n935 71736\n14645 20869\n38071 85857\n2953 30992\n42621 49392\n51121 81725\n18168 69745\n36397 79147\n5638 40118\n8618 82668\n68576 77263\n18861 86031\n12435 28051\n24119 33406\n53777 65356\n36602 67418\n39289 84590\n20626 47628\n22351 52119\n39188 58013\n40326 55574\n67107 96293\n35506 47834\n128 92221\n22990 85813\n32952 73044\n21362 90049\n14447 62294\n5789 37754\n27567 98072\n24596 50543\n10986 51627\n22864 80525\n55630 89907\n43654 74166\n9361 18367\n4636 15622\n357 88827\n82739 88411\n27155 30333\n42911 87308\n4990 84958\n15776 18757\n116 43926\n5618 51388\n44801 59572\n943 57514\n2583 9021\n70157 86548\n3994 11868\n84503 98864\n69606 75148\n10110 62658\n35307 69643\n7706 71218\n15545 75205\n60710 70947\n57981 65819\n50427 68773\n34300 44944\n12933 48843\n48982 74803\n17362 81553\n19485 79841\n12664 58054\n2663 59059\n14858 95948\n52202 56291\n21514 35614\n89385 95836\n33137 44150\n46756 88108\n35785 74258\n23906 79577\n6214 70493\n8769 56745\n3678 20032\n8942 50387\n56142 92283\n19895 44830\n54012 74242\n85462 91949\n17837 36760\n57532 80677\n39943 78297\n49881 69957\n9308 27674\n11811 58196\n30841 82217\n47740 59881\n49848 50134\n89607 90088\n20699 32578\n63717 91902\n22355 44319\n94246 99966\n26124 30566\n52782 57670\n23738 58183\n21605 99081\n219 91905\n35935 45396\n29778 61871\n20226 69867\n4274 75254\n14115 41816\n12669 15929\n31023 63511\n72630 84467\n1891 81963\n70221 74889\n10769 47171\n48574 95727\n20879 78195\n19566 97328\n58696 66748\n77074 94636\n52697 53846\n38396 50418\n32801 84651\n7226 42433\n30393 61680\n18831 52260\n37159 82775\n9286 22033\n20842 91902\n35699 81078\n36033 44002\n62941 86700\n30640 61296\n11493 79362\n25745 32923\n22225 61332\n39454 70796\n2666 71069\n70607 95087\n28883 68205\n48498 82625\n42470 99960\n25981 87500\n18922 53965\n39523 64810\n67134 91046\n53272 53634\n16999 52375\n84472 99724\n5538 53647\n3282 24981\n1375 97820\n5335 38769\n9403 16493\n20084 55671\n24629 87646\n75478 96116\n5605 13234\n42626 49618\n45152 50262\n47241 88732\n76927 80993\n37809 49630\n18194 25275\n20525 35201\n29556 32632\n60458 76644\n54396 62389\n16423 34831\n52641 52664\n8137 97737\n11014 76912\n27140 89363\n45707 86510\n10274 56044\n61142 88446\n17933 97574\n13287 48390\n54671 86772\n16691 61121\n4485 67269\n17029 89345\n16692 31765\n43099 51747\n60214 89771\n14447 46542\n44547 66602\n14120 97214\n3252 20336\n1762 63318\n15694 68857\n3575 29706\n21538 45827\n36245 88576\n672 97858\n66010 89920\n32630 70927\n54803 96238\n65133 88857\n60319 68725\n20805 63647\n62473 76654\n38219 59464\n32470 91496\n64366 87267\n16569 76157\n66595 99368\n46010 82464\n27043 79149\n17725 35699\n6191 61444\n1094 55930\n59199 91448\n7300 42480\n76183 89324\n12551 87225\n78295 80847\n34320 74636\n18712 47977\n15678 62505\n77333 94699\n76382 77458\n89255 97340\n5501 86752\n49522 64748\n67023 71921\n1463 63055\n26738 94545\n60897 62793\n21308 21485\n72949 84905\n12994 19225\n81780 90818\n23310 33881\n18416 67060\n54465 87860\n90271 96001\n34781 41665\n13620 66893\n2516 37818\n23277 64166\n4486 46930\n13146 77591\n31802 46749\n49349 71480\n46010 77660\n42281 42450\n63328 68749\n3389 25565\n25062 44236\n18800 98262\n46844 64900\n21888 80305\n10739 73446\n71159 96492\n31720 67807\n22587 98015\n36592 73898\n64244 77033\n9460 40125\n18644 66710\n34977 70443\n13781 32509\n84270 98853\n4508 45289\n49278 57680\n22153 85289\n18312 52115\n66024 73030\n17060 18385\n13053 71838\n26755 40773\n28365 96153\n59575 93197\n50101 82363\n10351 54369\n522 67335\n3478 81552\n61609 92520\n42750 95318\n54662 61216\n29680 97685\n17106 44027\n10381 86533\n10031 29074\n51412 98587\n66143 69504\n9271 73196\n7169 27828\n5866 21034\n2765 6511\n9933 52635\n21855 68523\n33580 63716\n16944 77501\n71147 97301\n6881 42011\n73342 78684\n59360 85839\n2967 15493\n56523 95508\n8453 49203\n49197 79427\n86282 92033\n35853 84120\n24453 26336\n33296 86930\n36789 98137\n24450 67231\n44692 83250\n20061 84404\n51216 72606\n27023 29693\n25976 49128\n15729 71863\n28725 42446\n54754 73513\n29116 99274\n8169 40858\n48872 89055\n89506 89861\n65160 89224\n39711 84262\n90028 91593\n23140 74277\n61194 79173\n69144 72540\n12871 94419\n42974 60393\n4866 55109\n4256 25200\n37073 97010\n6082 79645\n26564 57947\n47655 67141\n30397 98024\n6016 97757\n36532 95576\n28676 70292\n48044 64638\n16330 98654\n19615 43466\n44828 55886\n10199 90767\n40162 41568\n5105 41606\n66220 91617\n9839 75937\n57344 63461\n31188 51435\n89320 93534\n21971 70674\n16911 38296\n21371 78503\n3249 61474\n62534 79547\n55655 93776\n38003 48124\n11356 13877\n36161 99250\n15598 39226\n50592 99487\n46618 49187\n16801 89881\n17397 34189\n77129 80379\n13181 93208\n72516 75938\n52514 83227\n64631 76811\n13861 20275\n51108 83501\n5219 73581\n19033 31627\n13387 72890\n8741 44038\n4504 79276\n96758 98118\n46526 97517\n60368 65122\n11152 78378\n43289 68011\n57718 60311\n56560 92138\n51518 58325\n45934 86375\n70216 89610\n72260 89810\n1825 92223\n28054 99630\n45397 69317\n48036 95971\n58776 83823\n6360 83869\n21951 31855\n28792 36487\n48815 50611\n28757 93954\n8837 79116\n76060 85329\n71644 77851\n28311 45262\n56810 73083\n31616 91827\n21974 96862\n16098 22981\n16201 35959\n10052 61220\n61150 81264\n14101 81021\n58031 99427\n31638 62131\n44515 90983\n20035 45188\n45069 70876\n31015 74390\n38875 67535\n32631 97661\n31589 88281\n72470 95424\n82038 94890\n2216 20048\n3317 41437\n46816 50801\n66609 91376\n20468 26271\n7375 89241\n46583 61674\n4513 74879\n26658 66832\n6090 86395\n56302 81160\n15611 94602\n26570 67976\n12071 85631\n46443 85831\n73105 92376\n66888 96435\n45025 65053\n9981 93983\n11759 45066\n26371 63131\n95852 96399\n69330 73204\n30652 31779\n12304 83790\n23163 86568\n40599 50173\n19023 82335\n2755 57669\n56509 90603\n39555 63875\n37820 50258\n42224 81023\n30438 87374\n40009 40028\n17533 71301\n8445 57965\n54924 81940\n28138 38709\n76564 82645\n45217 92261\n18917 38667\n10502 35126\n4852 23126\n86925 88566\n43115 74085\n75990 89756\n73016 79764\n37399 88254\n64639 70898\n29794 88678\n24397 84061\n11533 87174\n44873 76928\n52218 64320\n17637 38426\n24639 56153\n8216 69053\n18516 75510\n72817 93501\n26287 29113\n14446 44801\n2209 69308\n11769 36704\n5336 9769\n28658 34689\n78068 93026\n24455 73321\n73454 98535\n27303 32256\n60867 98812\n24245 82761\n16462 46043\n1505 32913\n55104 70546\n44147 92626\n63598 82954\n18995 47739\n55859 85149\n10689 19869\n24674 37459\n8444 80429\n5791 14215\n29080 98192\n32188 72778\n538 11640\n12031 98348\n51083 57716\n69567 71505\n16015 67024\n15765 15950\n6780 77834\n34814 55014\n2336 77598\n43891 78929\n66178 72482\n32940 62331\n68495 93087\n12208 78546\n67454 96232\n62792 90668\n14937 96157\n20333 71161\n6145 65211\n34974 39422\n80651 97367\n8006 17242\n64166 84287\n5662 90475\n34145 80861\n7994 51838\n27364 39881\n16069 36200\n10222 76923\n33189 79578\n32179 36166\n20456 93083\n68032 83409\n5974 80633\n43968 65955\n82120 92342\n46491 58957\n26339 78861\n55880 59644\n68070 87757\n20556 86770\n28491 93526\n59536 96744\n27002 94310\n72865 75199\n13022 96276\n4320 14484\n5582 96830\n28002 74240\n32328 34865\n45310 74231\n3097 59841\n21995 90181\n79649 90211\n31551 67262\n39100 46597\n76145 99649\n7734 34155\n39699 86645\n7125 10041\n74232 81773\n51804 72446\n58555 94096\n54267 95399\n59261 64121\n50604 90625\n4865 78719\n14330 88073\n66382 83436\n30338 77937\n67961 98017\n12100 34334\n78210 82901\n3503 63141\n53747 70246\n19847 31990\n12093 36327\n69528 72351\n17813 32105\n70127 78680\n31214 87866\n64249 67958\n48727 77417\n54588 98912\n11185 29083\n20151 47574\n10888 64698\n73877 94790\n49070 96089\n14203 45783\n12771 20415\n12499 70609\n35093 72438\n4219 62476\n56164 60556\n52199 98236\n20292 53311\n3835 31040\n75957 98957\n57261 92980\n11512 48442\n68916 85844\n45075 53314\n11764 68228\n64056 64161\n21570 75759\n39750 84381\n51504 88171\n2949 64295\n5050 42958\n7660 74291\n19193 29488\n24439 52112\n49440 72671\n60760 81854\n35394 92203\n9193 96910\n8951 43934\n27177 89186\n3685 78772\n13125 21039\n6821 95796\n38834 96786\n45822 49946\n17321 55703\n39044 40655\n40151 69723\n56632 86951\n20320 78765\n13253 86901\n3552 28189\n14876 78834\n9002 43886\n27193 37069\n19300 67897\n39846 93186\n3426 39389\n36238 67993\n50500 81257\n84608 95141\n41318 60904\n2093 27843\n58758 77244\n20288 77936\n47467 90575\n56483 69470\n61862 74995\n2115 78609\n45823 57111\n9531 11242\n41696 66760\n76190 81462\n5750 80969\n61103 81553\n14767 73088\n79846 90707\n32643 90059\n10567 92532\n28065 46858\n33354 90551\n34657 91116\n4133 74738\n38723 44471\n21037 25804\n20926 95534\n2111 44268\n10449 21586\n11286 84835\n11929 14306\n35702 44213\n31515 94045\n9094 85260\n43657 51337\n75579 98753\n12260 92305\n72824 87714\n3271 76296\n3481 58268\n17612 21937\n7238 62726\n79752 97162\n4766 72169\n21202 33390\n21254 36529\n21126 91147\n12612 16854\n32719 53904\n20838 49010\n34591 36869\n43844 44797\n8902 77965\n83899 94419\n11526 90082\n66867 70948\n22618 71868\n27984 71733\n45618 80454\n19870 82837\n57034 96140\n63663 91739\n17829 28545\n823 31250\n5202 9991\n96814 97909\n37497 55841\n45792 57464\n40903 55289\n59899 70517\n1629 80757\n82138 97486\n22431 31153\n72531 79515\n78560 94270\n366 31857\n32337 80477\n28127 97831\n60056 86132\n4508 45314\n12351 95102\n71401 73869\n12810 90280\n46935 63892\n27313 49315\n51021 53880\n70922 93791\n94758 99720\n13844 91837\n26901 51815\n58770 64556\n19316 93146\n32018 36881\n51711 68622\n329 42894\n19748 57692\n23852 79689\n85371 99825\n44077 99340\n33407 68566\n67901 91056\n65125 77668\n93320 96262\n23124 99577\n5640 20710\n3481 49994\n2731 75599\n24110 74084\n51218 70402\n12985 49020\n68891 79111\n3239 6736\n54293 82924\n39925 70996\n50304 86224\n32295 37854\n15574 72944\n52070 78683\n33401 64027\n10878 99336\n33056 43485\n24070 91565\n87639 95631\n42657 58003\n712 51034\n83380 98289\n28985 77151\n11306 86677\n29442 47447\n50990 98305\n84305 97004\n39094 60906\n15761 30153\n80751 91447\n21177 68903\n91184 92758\n2207 35725\n58585 92039\n30815 66353\n76908 92209\n10650 81841\n73444 90929\n18246 94511\n80859 90814\n6136 67401\n91304 97235\n81653 82405\n37454 94149\n39728 43062\n7362 45865\n84089 84408\n23067 91608\n43578 75129\n54769 59298\n54572 64654\n43123 71391\n8993 67118\n25258 90046\n45826 50401\n17693 87897\n16182 77007\n19162 21441\n4942 74081\n5040 71247\n64168 92240\n22247 22770\n210 24443\n59703 86544\n31705 35434\n8642 82310\n79565 96911\n66863 93372\n74743 91509\n52179 83998\n105 73699\n25197 58191\n48371 54768\n42999 80800\n10924 46594\n24791 68726\n49518 51161\n16579 17913\n33248 59471\n33404 42417\n10597 16915\n75770 78819\n37133 55274\n68002 76238\n36225 41410\n31419 34441\n17622 72610\n84429 86167\n326 43942\n26517 84388\n83738 86653\n21737 61520\n82911 96006\n16862 73499\n10537 43449\n38749 68071\n22135 55119\n21339 70894\n23205 50645\n38282 53677\n16033 32735\n29226 72462\n40874 85739\n72370 83451\n451 20291\n15641 97507\n35603 88062\n30083 50048\n33873 70709\n14435 93636\n10863 61549\n5263 99769\n10285 42665\n9378 76223\n19446 73392\n39975 95177\n55724 57112\n74371 98726\n76917 98303\n19754 86997\n19212 96878\n62724 68331\n37047 69295\n12708 18397\n40561 85428\n62893 71580\n10304 42198\n20907 83590\n31698 95422\n10772 38935\n12240 84172\n32113 76515\n61540 71335\n47290 61794\n9631 77281\n41241 48460\n43095 89359\n2347 65914\n77065 96626\n41610 56637\n44155 91893\n38155 97562\n45282 73274\n28335 81368\n3861 78468\n67070 92596\n51878 76540\n30343 89445\n34452 54146\n51918 65016\n5987 26586\n22593 47174\n52858 80738\n6015 87709\n54699 83389\n69723 72358\n4853 81188\n84375 93109\n9672 44122\n58303 81744\n17809 31879\n17078 76961\n5153 63331\n39608 79905\n53282 69981\n23391 46332\n20800 70746\n31710 81003\n39287 78412\n12936 98443\n73086 80265\n4756 41838\n75987 80386\n56169 76404\n2770 54402\n3424 82984\n78631 92651\n29027 32882\n34205 80169\n16962 65229\n57890 92013\n18740 27174\n57777 73965\n59127 84402\n59156 72066\n24493 89504\n42565 77029\n75709 81032\n6322 53341\n10082 53121\n1297 48459\n69085 72012\n15075 89768\n62303 76648\n31266 38984\n3738 32914\n7330 51940\n34760 49906\n65936 71742\n59385 87450\n44955 74455\n41492 71863\n56515 77390\n10078 12771\n21703 76755\n24800 87049\n2760 53894\n5285 60089\n43743 73159\n10804 25782\n18266 20891\n60920 99824\n36490 41509\n64799 73286\n34391 93250\n106 9858\n16355 46735\n2114 28677\n89078 97653\n29960 61748\n92069 99808\n46253 53183\n59749 60834\n37083 98841\n58954 60761\n11276 70993\n217 91613\n37132 51774\n87442 97847\n26281 68929\n7843 68697\n17861 53588\n21964 53105\n28330 61101\n24767 77279\n9855 35462\n24141 58776\n23996 95144\n18857 99857\n50209 57937\n67178 99622\n11751 35828\n39912 89116\n54205 88564\n74480 84952\n31871 96474\n21557 36596\n39177 53832\n13055 30114\n59724 59780\n51243 72520\n72189 76141\n51711 92194\n8432 12531\n8708 86736\n5856 42609\n45318 93124\n15371 23251\n7604 89803\n47983 67294\n67320 74648\n54336 94832\n19012 53697\n12307 76801\n61683 82611\n1862 85861\n18825 26718\n31836 48244\n36251 88283\n34967 91208\n67496 94094\n76973 84019\n27445 63793\n5725 32374\n17465 39201\n66822 83877\n1787 77879\n26045 34040\n2079 84100\n20782 66347\n1289 43301\n46407 99708\n20041 30453\n86258 93541\n54571 83908\n34095 66161\n20695 68595\n47853 67830\n38562 54113\n44526 51367\n72319 89836\n14613 94677\n76340 99479\n68523 86244\n13572 69563\n81973 91044\n98875 98961\n38312 79083\n15966 29114\n12563 87741\n29932 66163\n2493 99091\n24556 60020\n28075 43184\n69630 93539\n6441 14122\n9722 56322\n12973 87996\n64093 64721\n80511 90267\n39424 55003\n16192 27859\n51404 90687\n22357 71783\n16764 65956\n28705 52466\n50443 60401\n91794 96743\n14692 44473\n20430 94798\n27485 54234\n27661 55478\n5639 21872\n11287 60611\n7306 74729\n34072 54060\n10061 52454\n15852 28052\n75437 92668\n52739 87443\n56863 83054\n62122 64651\n46035 90474\n26194 39106\n8894 85683\n38436 40886\n13764 50933\n9502 58644\n43009 65989\n59423 63026\n46311 71696\n32048 47155\n43627 79648\n59107 68088\n29780 97369\n56999 78298\n75423 97694\n60309 65953\n83324 90784\n88721 91294\n42120 48358\n34809 58495\n6021 71513\n32327 59880\n47945 82857\n55331 93333\n22380 61962\n44047 54883\n1616 93902\n22307 28954\n1022 15486\n11371 78850\n2787 8314\n8012 70375\n35135 73628\n7471 33849\n33238 97360\n26267 57675\n46264 71154\n31162 35493\n34760 93493\n48987 54514\n10525 43842\n38831 51888\n6732 24323\n4773 35549\n12410 20071\n41324 80514\n46216 93877\n50300 81944\n19028 61374\n9013 29833\n35725 52581\n6839 43014\n28109 76830\n41519 93948\n28374 68837\n37014 38931\n15256 72919\n73850 78632\n61617 73120\n42214 42870\n49689 86648\n44627 45741\n9766 98855\n41718 85743\n72106 85618\n34718 58209\n62199 67633\n13055 51352\n16645 95070\n34714 36999\n33368 47147\n10048 72249\n2616 20521\n34877 40316\n80287 80652\n2440 98423\n53449 98831\n30770 81355\n17265 73878\n5608 74038\n28894 82148\n2589 51456\n47888 56439\n30084 46755\n61256 76321\n24704 62918\n43978 98627\n15312 43108\n68157 99274\n57267 91167\n38117 87624\n18368 21359\n24603 69649\n62333 74513\n40677 63181\n14979 54268\n23388 54497\n31330 72282\n283 9547\n27541 46657\n31634 97397\n87637 95000\n79420 99902\n3743 96581\n36934 82159\n4833 38133\n51084 51461\n4808 72194\n20865 57789\n51 55479\n30094 57379\n56945 57283\n22535 54147\n61394 92297\n6869 31768\n86619 87215\n1439 96335\n71262 80439\n60425 90716\n60771 89121\n56255 91477\n5136 47828\n13645 82871\n38949 51193\n69436 80604\n19859 86726\n1490 36900\n62048 77453\n75919 86065\n55141 70995\n14113 80534\n2827 9739\n7175 90489\n30511 70805\n845 64524\n54735 76315\n29812 86999\n66294 97962\n10030 75739\n376 88829\n75786 83681\n40627 70526\n12849 66515\n87176 87786\n60962 82524\n15729 86044\n40285 85819\n84521 97332\n2422 27561\n55284 75865\n4396 49791\n42401 93898\n41453 91532\n34610 88019\n1342 98856\n50488 68584\n37448 65806\n37241 43506\n10650 38306\n94095 99834\n51963 99755\n47695 86265\n10523 71576\n69010 74904\n34017 77691\n12003 38058\n4619 11365\n73434 74359\n38274 55207\n90803 94766\n8934 21056\n28589 73245\n87359 97933\n19803 24980\n37079 45348\n65855 94307\n17903 51549\n19824 99228\n85748 88014\n9341 89921\n5448 65233\n8562 58003\n73629 97331\n41121 48520\n92774 99676\n15170 27604\n14712 75583\n46980 85199\n4508 56087\n29733 56262\n63187 90385\n65380 65461\n56517 81484\n35673 72732\n77357 95512\n42766 48983\n47264 78620\n21043 43769\n46021 93165\n36106 46903\n45833 66186\n10046 89997\n37134 58817\n55820 73095\n41730 90093\n5382 82301\n66548 66980\n49268 94111\n666 31009\n18714 67139\n13613 15305\n35202 76202\n48812 84817\n22577 86268\n65691 89682\n16909 35776\n972 70847\n62786 68686\n4985 37222\n14963 43625\n35748 92175\n14755 97212\n7352 49792\n33956 66010\n26935 88122\n8184 38831\n9982 75393\n46174 95021\n85714 93183\n2634 11244\n16671 62685\n42265 68808\n26760 87444\n35285 74429\n19773 45656\n13016 78980\n1970 28339\n16985 83867\n50713 60156\n10700 39754\n44574 53344\n58684 64009\n59888 74652\n25317 89765\n14576 71913\n63616 96084\n16613 58552\n48332 72668\n89212 91379\n34002 67026\n65939 89491\n63470 91468\n11122 42336\n5302 79243\n43037 58275\n34517 54213\n7407 47942\n22280 86081\n45425 47627\n93612 96078\n57916 74920\n29560 65186\n42093 67702\n59512 87340\n16877 69630\n47691 61844\n11083 61269\n30501 71514\n24216 35656\n79326 85906\n1613 6765\n17989 73198\n48483 52025\n9378 28976\n3025 6607\n21793 49930\n52392 99124\n24159 35063\n55593 86007\n87252 99231\n68055 71406\n25050 25709\n10379 53769\n35092 66511\n73037 85953\n47009 66060\n78725 82918\n18806 25072\n1620 27660\n1763 42151\n51641 59376\n3188 64705\n31471 67837\n4797 22179\n12516 32255\n44474 98975\n64699 96034\n17300 57143\n10251 54157\n42183 49188\n64576 66226\n8872 22160\n1135 65195\n62526 74938\n64949 74155\n18558 27490\n33227 69111\n27828 41574\n216 33545\n46324 70819\n27712 91439\n48954 58289\n17531 37772\n47141 92703\n2271 68000\n5201 12007\n5069 51990\n58986 69591\n5847 58109\n47098 92017\n48713 97128\n41053 52039\n8334 96920\n9499 90330\n35861 89187\n65503 71247\n73384 82947\n96517 98293\n78084 80381\n20507 34064\n5105 33072\n36561 51024\n8141 27748\n25798 67662\n79558 79814\n29077 55598\n4784 53740\n44407 67605\n6991 36505\n22835 95305\n54345 81227\n65448 99909\n64763 73611\n39024 99889\n11079 75379\n38781 55860\n20609 31369\n32121 98977\n40214 42848\n71708 80010\n27381 48864\n71880 78769\n37823 64848\n24602 33212\n40283 40738\n63452 89054\n29771 34383\n17522 73915\n13844 68014\n34446 48058\n5145 58401\n60685 97933\n22575 94937\n62616 86604\n10121 92469\n5188 95443\n24392 31216\n27072 93057\n16656 22043\n17998 65110\n41291 63715\n38679 93024\n15071 94144\n76015 97008\n26579 84161\n68039 97617\n71456 86986\n48587 53595\n25391 31080\n55716 99467\n5800 16773\n7225 28994\n1766 22330\n44478 79117\n36825 40873\n30289 73689\n31008 43595\n46155 64710\n50070 84549\n56142 59336\n28146 75064\n29834 67520\n36800 84404\n60440 89751\n55449 66111\n20459 67264\n29076 87010\n68154 69553\n11202 72784\n11589 35498\n23179 34180\n785 49435\n8291 42844\n3906 97544\n64637 76545\n38320 58136\n774 29726\n30160 59509\n6674 93591\n34581 78675\n34233 42115\n44450 83112\n50285 87309\n6691 27441\n50961 95783\n25474 99638\n25104 30200\n90989 93074\n57357 72756\n3479 33841\n10328 28573\n12432 51811\n69136 84195\n25807 73464\n70092 98962\n77356 96723\n9633 16151\n15919 60545\n14784 72656\n14536 37886\n697 23181\n4222 10808\n39381 85995\n15062 26239\n19907 49509\n75353 91970\n44201 73367\n37198 70854\n645 85900\n20555 84572\n16089 31699\n15454 95439\n3869 51532\n33800 51375\n41028 64109\n32578 74370\n15279 62050\n31298 49494\n1232 68960\n18222 20515\n478 81761\n64631 98902\n1206 52570\n51980 62528\n73874 83790\n44348 49453\n36508 63716\n10543 22951\n19137 37706\n20502 25106\n63529 77719\n54033 79718\n46647 68471\n59586 71007\n6094 27833\n62945 82951\n61126 71043\n56412 72739\n48054 59316\n55232 76693\n32574 97530\n41916 83005\n11678 98681\n319 15783\n10530 87395\n21931 96240\n5976 9821\n7861 94307\n62835 69101\n7897 10514\n33146 47204\n31614 97704\n64713 93580\n49842 92117\n21435 81296\n13381 73419\n13826 91266\n15705 79453\n65359 74248\n22931 32106\n43494 45641\n71676 72206\n20313 77389\n27740 33892\n55012 60541\n32393 41240\n26890 75914\n12408 65349\n25279 78902\n17318 41874\n962 26815\n87982 92369\n38194 81511\n6051 34994\n15721 51015\n38701 61215\n17720 17878\n43087 50188\n16649 86071\n70522 79730\n4731 80960\n24816 53186\n6432 51872\n87686 98183\n11833 22913\n2213 51288\n9685 90073\n37637 56659\n13669 37809\n51926 74455\n66490 96133\n31619 38203\n81366 86934\n14329 45948\n21655 23669\n16250 16498\n26299 87490\n18844 74664\n85323 97401\n33745 97829\n61550 97470\n23684 50965\n2116 49265\n64781 98773\n66500 99521\n8648 75206\n35129 94910\n8728 62554\n6470 80480\n56588 90805\n62129 76121\n47537 79911\n17117 32605\n27771 48614\n57307 57410\n4641 48724\n74072 82558\n51771 58406\n43141 88579\n23295 26084\n5675 70047\n3424 9592\n18728 83631\n226 47952\n12157 24426\n94139 95935\n58844 81472\n581 84257\n59758 76501\n16990 61030\n63196 99531\n60572 69682\n8234 99243\n14732 97112\n6767 95541\n28841 98995\n10759 75156\n55880 68893\n13083 56608\n23215 32113\n3108 76031\n4152 99839\n45404 70742\n45212 76726\n6171 73874\n9351 83436\n81443 83301\n19934 72726\n21545 73338\n48203 98113\n4802 84276\n10520 64202\n40008 62282\n2972 91296\n33149 78859\n83879 87273\n71718 89790\n998 79696\n15178 99635\n4586 26794\n74382 86731\n38174 88963\n31063 91891\n18595 23588\n51749 61027\n23195 45146\n29254 53418\n49174 84368\n22165 65049\n400 94468\n58494 98519\n89551 94340\n56892 66189\n27378 66594\n49748 96993\n64708 75995\n47386 71286\n36049 73451\n13143 89446\n58414 65499\n64651 88364\n39808 77934\n8849 22302\n40259 85243\n33097 70097\n64294 71829\n93457 95609\n36659 61635\n41000 96584\n69558 80857\n75531 92853\n25913 38431\n16097 25577\n29781 55703\n85705 93283\n84563 86066\n40736 68048\n45208 94077\n11141 32359\n4363 51656\n20709 48547\n1355 15948\n23376 72907\n41450 76021\n65127 66128\n16900 51845\n30180 60034\n20857 58678\n73381 91915\n65896 92098\n1227 98101\n66769 89286\n38281 87945\n10572 57027\n23875 55495\n7343 79327\n2259 25448\n76614 81554\n23871 48567\n32660 48800\n8567 28291\n7430 9268\n57119 66081\n16185 34024\n58633 69593\n15216 82311\n56348 80119\n46 41636\n67519 92370\n56088 78530\n2664 97834\n41107 99782\n40791 55329\n42628 58178\n33300 91210\n24336 98333\n17245 65971\n10963 13338\n7568 18704\n31546 75961\n38156 86981\n42373 64510\n3291 59527\n22158 23568\n29061 83079\n26508 89626\n55589 68767\n61587 99858\n76466 94580\n74972 91029\n13150 31238\n1858 78879\n7942 98143\n6544 90097\n9693 53687\n51089 92418\n17270 31981\n13556 68176\n21918 48176\n54382 60489\n25041 53027\n18446 37301\n73561 75382\n378 97507\n12587 28084\n16577 67223\n54326 58522\n29474 47308\n11568 84697\n54915 86337\n13522 89947\n21359 37973\n52867 67414\n28678 57016\n57658 60735\n15836 39431\n87130 90461\n28277 43696\n48148 93821\n13766 16306\n25555 88784\n63196 73003\n26849 86876\n8488 54260\n18810 74338\n23748 26704\n7813 26408\n56846 73583\n17606 98333\n73179 85984\n58267 78509\n5654 12846\n29009 36014\n3749 74841\n14103 45423\n20442 57863\n67745 73801\n5228 67004\n46520 96092\n74888 80257\n33387 78348\n29392 72937\n7552 33399\n27375 49765\n55659 86673\n32349 45794\n48737 49126\n28791 40172\n4086 18184\n333 98310\n6841 89311\n73386 75357\n8102 76252\n16142 31701\n78376 92627\n7789 14023\n46016 70872\n26463 37666\n44646 68802\n41087 46663\n36179 65906\n37026 48146\n29013 95636\n2659 71343\n19641 54947\n11407 59779\n10274 29486\n35047 54470\n8179 47673\n45177 80192\n69597 87300\n31714 70121\n52897 59235\n48100 60894\n3751 65663\n3348 56224\n88300 96726\n40483 51275\n10361 86446\n18910 60156\n35910 68927\n56814 83560\n58582 90280\n6584 89103\n43817 49994\n10609 71080\n51853 64596\n59440 92171\n64570 72393\n8135 9934\n8059 27948\n19245 34754\n4618 79224\n32282 95025\n73575 78585\n4973 85161\n31987 53673\n68699 96992\n39375 63266\n16404 81557\n15709 92189\n26045 90044\n58719 94600\n22614 97731\n31352 90106\n28685 34734\n52576 82443\n1674 5778\n67109 88884\n16087 18955\n19855 47995\n18636 19951\n17835 26560\n53882 59134\n13121 62165\n44295 73349\n43872 62354\n33239 58089\n66953 71657\n37265 70562\n36489 92921\n22954 88293\n21933 43239\n9661 68754\n24499 70355\n17240 63481\n9482 50678\n19294 94301\n47933 78664\n55833 72073\n29855 68186\n9724 32377\n27183 91964\n8385 20881\n11345 51571\n3475 67304\n47877 77671\n25762 33018\n14214 43785\n29414 86001\n75733 94389\n1684 47151\n14976 52805\n30 33351\n23621 55744\n12484 87152\n61647 95830\n67809 94962\n61798 78171\n9774 28813\n52663 62884\n2709 80903\n42513 49232\n1046 78385\n26707 73165\n72942 91342\n48713 64450\n36699 79844\n67482 72924\n59807 91695\n84260 89266\n9443 23264\n10744 95314\n30959 74576\n59653 93199\n18839 27812\n47237 84183\n41890 75090\n35940 64524\n72508 95636\n28454 79521\n15314 72089\n15885 24444\n52494 61695\n21479 63628\n62102 73807\n61532 97500\n43274 90917\n38328 89530\n22711 36130\n46161 66855\n27319 52391\n41587 62302\n13641 67297\n342 20389\n5027 65300\n56857 58239\n3881 60625\n83556 89798\n58134 65391\n19663 68269\n6434 68838\n61953 84261\n60670 77268\n49036 96098\n56518 87626\n2830 15902\n51740 53239\n42340 71100\n8636 13672\n78321 86018\n16947 49803\n26140 64481\n71834 72462\n34581 67499\n36714 93741\n39387 45596\n3763 92438\n21057 27425\n20971 69317\n4548 18488\n73964 98448\n28208 82193\n20523 38216\n4534 72482\n73328 78501\n22047 80441\n16429 56653\n13861 50836\n7514 27279\n32859 36151\n47079 71748\n20833 76619\n41144 70330\n19949 71288\n58059 94702\n4216 33036\n17025 84995\n58656 90240\n673 56001\n51766 55225\n77175 91589\n40382 94573\n27660 45123\n12611 41109\n64829 66956\n33572 56662\n57571 68215\n31113 55775\n9932 44803\n15449 85908\n24650 44687\n47402 54196\n12253 92432\n3471 37540\n69099 91452\n17281 94709\n42521 86434\n39686 89869\n66947 93720\n28218 65349\n47405 58664\n47853 54616\n49739 81852\n14898 67895\n23739 74089\n62926 76362\n72983 89571\n9238 44211\n13607 37395\n15918 28313\n51037 77208\n43926 54280\n5204 59709\n2025 90086\n45511 92144\n77776 91487\n38384 99284\n89526 94858\n24545 91352\n9842 91609\n19670 89248\n31134 50846\n13887 37189\n2064 65598\n3317 37639\n15896 19510\n25670 74652\n45911 78446\n79652 81465\n8807 95998\n52356 91749\n30196 62494\n42237 72026\n35327 60158\n86065 88883\n20883 66346\n10267 55849\n15119 96867\n11032 48928\n7685 49024\n81168 84572\n20028 86002\n424 27590\n21688 53067\n47530 48612\n49917 81464\n54700 99054\n44086 45417\n39569 40044\n39820 71729\n2203 5019\n6819 95532\n1584 83022\n54006 75602\n27812 51979\n7478 66891\n42711 76565\n14318 37615\n15549 58639\n28005 34380\n36635 43461\n48168 65256\n46161 68409\n21984 87040\n25809 35084\n5808 73813\n59542 89582\n57745 87231\n38878 95398\n8692 59915\n24605 57159\n42739 80123\n45252 91825\n47345 48775\n92974 94578\n51738 86226\n45664 77211\n7104 84439\n33068 84712\n73925 75422\n92108 93344\n32726 85090\n58272 92512\n32871 48588\n19662 26767\n87412 93143\n81306 90718\n18054 91861\n11401 28195\n34543 84558\n54053 64468\n96531 97698\n16692 80337\n70489 93070\n3472 10471\n6752 14683\n40558 98766\n8774 92513\n60715 75382\n32343 47494\n9423 93780\n10291 82502\n56757 76543\n38427 66463\n55452 87332\n95239 97740\n70043 82905\n67670 71930\n17578 58875\n34220 40565\n28781 37360\n16587 20561\n13851 26230\n32075 96018\n6665 19102\n9609 59499\n64453 96229\n19677 19889\n45334 76607\n15787 32694\n8046 90606\n2792 95668\n3183 57729\n2377 65646\n14293 78379\n56648 64913\n84519 88566\n38053 85242\n7201 78306\n33496 87516\n17219 67446\n18714 96177\n6 92868\n87350 93376\n38812 63797\n25933 67833\n27621 92259\n44511 99261\n63417 72110\n27087 64055\n18710 68430\n7962 67601\n39468 72386\n38442 52223\n44998 79776\n27670 55986\n20718 29901\n830 93755\n8453 12460\n3840 19504\n35251 49190\n3076 76590\n36283 91229\n22004 77232\n49387 53023\n52398 55866\n48124 49628\n86816 98388\n70919 83545\n1500 71374\n19301 37032\n5388 81226\n7813 8829\n49909 85311\n7739 79578\n54931 82981\n50514 95202\n11126 29462\n23519 48272\n48596 53243\n62310 91304\n1922 74747\n34936 74939\n19769 47891\n87881 99063\n3991 33365\n6217 75308\n21195 69612\n16038 48196\n20435 50496\n8880 77697\n25772 78901\n46803 62351\n23214 79117\n12699 99439\n84005 97984\n8865 43961\n77282 93781\n36663 72398\n5037 24610\n2956 67477\n5731 78504\n50801 67318\n35668 99054\n23149 36378\n45416 90403\n33157 97050\n36424 55725\n3671 66022\n53970 72974\n49601 82326\n6783 59869\n27343 93756\n59330 61000\n72549 74242\n36124 96023\n64722 77897\n89689 89864\n21130 84152\n10288 59968\n24019 42139\n11842 43594\n34124 68959\n10875 87262\n50582 74890\n18576 78712\n24405 34554\n43454 43901\n32573 93095\n1610 95400\n10904 83349\n42073 67795\n68619 73859\n14721 78818\n34258 64537\n63613 86374\n14505 97882\n8266 70984\n18496 36715\n70922 76456\n12497 91649\n27724 36232\n78607 97753\n68714 87927\n1596 46324\n10153 77853\n35581 40191\n55531 70223\n81090 99566\n11961 57861\n58079 98425\n28321 87355\n16773 26771\n93720 97478\n30998 46080\n77855 93950\n50488 66117\n34590 91169\n75152 80726\n6635 28218\n33543 57562\n15683 74761\n49607 94691\n76426 99481\n85095 85481\n2147 9779\n8090 75257\n5312 36903\n9919 37007\n9149 89495\n47700 55653\n81586 93740\n85594 90284\n5578 16047\n19631 35404\n5518 39736\n11187 49026\n43937 48895\n8873 86341\n39706 98245\n65270 79472\n2565 78119\n10058 47219\n48408 67797\n2049 90185\n8254 15266\n46321 95637\n7308 28549\n3662 24639\n74143 99649\n15287 94733\n33318 67048\n14179 14722\n46028 83908\n21817 91086\n37086 66310\n59089 79118\n9509 69347\n54956 67317\n36687 61066\n26091 52199\n19899 92423\n38473 67574\n14679 61259\n992 36969\n32130 89714\n88801 93987\n8084 69168\n9482 72126\n55547 86605\n25974 67341\n80703 99226\n5402 42484\n32798 57994\n19420 58328\n11328 50311\n9280 47929\n65564 96136\n39695 83592\n78192 99918\n25192 87011\n62355 87216\n32293 89016\n8574 62757\n13848 67501\n20753 85300\n38257 44194\n22284 59584\n31233 99935\n2441 14098\n77268 88896\n12030 65468\n11520 34992\n12787 42061\n51904 75181\n32545 81051\n5951 95423\n61426 86657\n21485 52200\n20467 28125\n24105 90116\n109 56058\n35801 77111\n16582 92242\n75554 84264\n27131 84920\n68649 99339\n47058 84457\n3824 67652\n29503 68016\n31584 40537\n45343 63994\n8881 41270\n33251 88595\n7646 45070\n2178 7059\n6601 58950\n31034 43263\n18971 22270\n58202 94437\n17650 57497\n42503 43217\n16406 66295\n53407 70733\n60357 94778\n58200 64589\n30911 77410\n3281 14359\n77847 92283\n22064 35280\n35030 58712\n22209 90917\n20276 50411\n7632 96540\n12529 19955\n10510 16881\n39917 65632\n18564 81968\n17201 91785\n13956 94197\n2519 91032\n5630 28796\n19285 23584\n90884 96732\n25807 95346\n7037 12792\n44391 63965\n25934 35364\n80933 83707\n32615 94579\n1352 1790\n53042 69484\n34149 58689\n78996 88498\n4559 87862\n12831 21654\n21403 49002\n15799 75853\n5785 98172\n43421 45381\n7733 66763\n9528 53658\n69 78161\n50799 76201\n32097 56973\n48287 77781\n31097 77506\n32055 47164\n20773 23559\n6991 38517\n45448 71606\n15540 30234\n2712 84632\n44728 45084\n14703 17150\n32641 70557\n15594 34065\n10965 13396\n29929 32408\n41493 66656\n32163 43404\n20541 48961\n23859 65440\n21283 90389\n64398 70146\n47595 89359\n33656 97236\n76531 93200\n1912 59069\n7993 97255\n50316 62517\n4308 90871\n49716 91376\n32512 52340\n40534 71564\n71185 74044\n40899 43544\n38768 57905\n3564 18941\n16261 81177\n67337 74800\n24633 91639\n58387 87551\n65501 71871\n28511 66379\n33843 78085\n51990 73068\n6891 44170\n47052 97359\n4240 95889\n57206 60912\n47193 91705\n60891 83473\n11544 20036\n34505 63193\n40368 74280\n14974 84615\n52448 66935\n44717 96368\n15481 22004\n16618 63601\n38633 87903\n86969 91829\n13832 52479\n2527 16246\n1194 97874\n26642 78362\n13595 17016\n46567 96580\n46050 99763\n39415 68791\n1461 69453\n84474 96077\n31126 55749\n6998 9222\n15447 62453\n53351 69195\n26266 92895\n40589 54533\n31323 42373\n3195 16402\n31489 65676\n77684 84019\n57250 84132\n60739 93136\n12601 69520\n28306 33072\n38055 54995\n12129 26364\n26748 69329\n3507 38073\n22430 41596\n8421 80385\n58830 63393\n21254 47797\n49273 71519\n22085 70368\n24953 74453\n1226 9808\n5902 75233\n25978 88298\n87975 94899\n36488 77464\n34885 85828\n58402 67119\n66140 74870\n37595 62317\n86493 87668\n27055 71024\n59567 83161\n20332 39017\n38619 70274\n23824 41863\n25811 63669\n40080 97128\n13449 20335\n51694 80731\n52370 71318\n2244 29740\n69573 84440\n47447 86796\n47540 66124\n18771 33011\n82106 98296\n28243 79785\n18197 77357\n14490 86011\n41509 94623\n70044 79223\n54712 97885\n2653 36252\n12234 48424\n20453 71089\n29746 64019\n1218 73433\n10578 87763\n18128 51307\n14918 53834\n68697 98710\n11375 34145\n39881 85101\n66043 92087\n22539 63659\n20609 81895\n9406 21139\n25874 80140\n58721 82600\n6843 31189\n20336 64581\n7830 73380\n60429 84455\n62621 78180\n49814 72129\n16865 44665\n92753 99427\n49705 81116\n3980 23958\n12202 96226\n3079 93534\n10686 16622\n1180 95780\n1831 25103\n57873 97160\n67465 95247\n26328 48806\n22026 72364\n80755 87662\n30178 88059\n83516 91543\n5905 33485\n7633 85631\n46589 84424\n9193 79838\n63396 73151\n49493 83865\n55883 70858\n36762 80200\n72783 99767\n26246 84367\n16633 60089\n30648 70759\n21032 85047\n66477 81496\n28560 67766\n46067 84752\n32964 97193\n2839 72306\n41903 77463\n38004 46824\n72105 96065\n48799 88068\n28186 49721\n15538 96609\n20266 97217\n11264 77781\n4218 96836\n61276 91556\n26868 30197\n83149 87496\n28279 81144\n9888 56569\n25578 54277\n19985 73502\n45799 50221\n72294 80880\n9167 26814\n19336 77271\n83580 96478\n62046 79712\n43771 73246\n39305 67234\n7838 91551\n5490 89839\n23675 77063\n36435 90680\n77137 84447\n27519 95082\n68896 90983\n80089 82635\n48513 89897\n6338 75939\n57124 86599\n18271 95520\n62164 93060\n439 73289\n68222 89148\n64259 71984\n24590 27188\n16064 99536\n61495 96407\n51789 63028\n60465 69170\n14684 86111\n51316 97729\n86874 93052\n6762 52081\n61488 92845\n76218 80488\n39274 93921\n61273 70494\n26164 42131\n9086 83393\n56803 78600\n49564 95847\n7345 83754\n28082 87415\n24763 50489\n53881 72861\n41060 79704\n42937 80313\n28591 42497\n11606 49021\n56223 96661\n12476 68702\n18282 26507\n96751 98992\n30051 47416\n8725 30927\n94867 99527\n26528 98187\n2794 17516\n2889 31020\n39762 94907\n49724 94252\n47368 56759\n5465 52274\n27515 85576\n37663 77994\n15373 54853\n68591 82428\n1879 41534\n68411 82324\n36050 79468\n47692 90772\n66537 86328\n55935 64296\n12292 46783\n63550 78726\n48595 99584\n41837 66332\n28743 42931\n75937 82580\n52654 82787\n21874 23503\n23520 35536\n62286 81817\n21205 79699\n40406 53030\n32398 38539\n21119 79921\n24395 34931\n25463 50990\n60271 68190\n44196 97491\n33303 81100\n66757 70292\n46724 51639\n25898 55837\n69666 93598\n13620 85574\n51729 57675\n45947 99014\n33939 43410\n56070 63774\n80182 82806\n55280 62807\n47119 98372\n11906 45456\n18370 51830\n92816 97081\n61934 76424\n8736 92421\n73986 75367\n13436 26022\n46697 48973\n47877 75281\n22032 25155\n21719 75653\n47958 52074\n6972 46646\n7830 64928\n85891 98848\n5374 74178\n78321 90270\n21796 25530\n68818 85065\n7181 75993\n72896 90902\n30643 41724\n23820 90168\n47715 77181\n44424 93020\n14304 65505\n64709 96152\n46861 75143\n79677 94898\n15218 75930\n5668 58680\n3069 36178\n10065 62605\n8981 60974\n31142 51694\n750 28634\n53475 88710\n33623 58840\n48335 97267\n46346 73368\n28211 74778\n20319 83970\n48468 72646\n25543 61057\n11199 92586\n81909 88170\n33595 66980\n1131 60449\n2131 81061\n45432 89067\n28948 29147\n71948 80523\n34508 73869\n43130 49217\n22794 57330\n19865 33068\n75874 88362\n64940 69015\n58487 73945\n3167 8837\n4438 8440\n57899 77019\n35071 52417\n76506 86669\n23240 62759\n20154 89904\n33942 50108\n1872 17621\n11681 12117\n31892 97767\n43860 93776\n48481 80060\n12439 67486\n44996 61717\n12 94308\n69078 92836\n74283 79633\n17618 48214\n7936 68554\n34323 76330\n29442 63199\n61560 90638\n49022 50937\n57369 97968\n40447 61109\n15804 96594\n47485 63369\n35163 56283\n22579 30767\n21730 88691\n25346 53782\n9864 74033\n23550 56099\n46856 53580\n35486 87686\n53850 88306\n37370 85377\n37488 57851\n11407 22512\n13692 79818\n31670 67571\n47284 70607\n10968 58386\n1142 29949\n64754 77394\n8307 99248\n28183 62191\n62900 84541\n33587 47900\n43117 90895\n7393 14764\n58374 60359\n2458 36349\n26383 68283\n35715 92196\n10981 33835\n64069 76446\n73834 81520\n10879 19642\n39118 86852\n5229 7908\n72683 79038\n2062 44736\n39053 71465\n45465 96842\n54549 95060\n54350 96939\n6492 57738\n15447 42423\n64256 82652\n4989 63311\n18264 44304\n21006 61399\n22686 55973\n11222 54856\n26894 56372\n8222 77929\n26056 37640\n40396 55459\n51537 98710\n63624 75315\n1590 38747\n35009 54234\n71044 89283\n32582 39744\n27622 37656\n16764 30166\n65229 81680\n32670 42831\n70994 86338\n48517 84412\n25074 71328\n37797 59037\n17642 24671\n42073 87901\n41568 59009\n36677 65214\n25995 74322\n11798 98563\n72600 86045\n18472 39264\n29604 79486\n6683 94576\n46048 70582\n44499 59519\n6076 78738\n1327 67083\n12855 22135\n46292 50263\n12737 47440\n74886 99104\n21046 81338\n50584 59098\n24864 77294\n8072 27917\n31047 92796\n11873 23622\n68585 94830\n16673 50973\n59817 82584\n1669 73993\n35382 77935\n71041 87168\n60765 88745\n28085 88838\n90593 93736\n72192 81354\n16029 78443\n7625 36925\n59779 93062\n7463 25829\n91272 95105\n93341 94081\n94167 98278\n5277 85065\n52045 53520\n69576 79780\n25796 79109\n8307 89028\n29764 48581\n50976 64803\n28579 30062\n32941 97058\n49928 55656\n53553 94609\n1696 52995\n39281 54528\n24648 60155\n10524 71173\n23762 42559\n14577 97383\n4635 89567\n16907 34518\n3120 75318\n361 68407\n30983 45247\n62769 65134\n43797 45047\n34368 71886\n42828 58942\n29562 37083\n59142 60617\n48924 61723\n20088 63250\n49281 89417\n61260 73495\n51360 70372\n1368 86525\n47450 72261\n20558 21502\n40018 45602\n900 8918\n94019 94293\n26428 42202\n33546 80474\n60824 84994\n43152 87156\n23495 88935\n5151 10611\n76644 96966\n1095 64842\n70904 72393\n39109 49672\n42547 65569\n61142 78922\n96669 97316\n7442 25595\n55084 71256\n10261 55303\n7949 59976\n10316 71400\n17450 85732\n15615 82946\n300 52352\n21809 70411\n13588 30060\n13629 39173\n31079 42522\n55189 74220\n49379 58257\n14936 99658\n56322 79358\n76244 87578\n472 41808\n87480 98237\n75076 83420\n19666 68128\n33309 83724\n39512 42388\n42552 79829\n16541 76491\n30845 31866\n39818 79681\n55911 73887\n2527 7065\n9002 51597\n81704 82100\n3807 84377\n18399 83910\n17239 35005\n17961 77791\n43911 50665\n23871 95854\n75217 96896\n30946 61287\n11184 12922\n47029 97466\n51514 98575\n56603 81260\n27925 63486\n41288 80710\n61702 80811\n74231 84489\n43311 91563\n54515 71018\n87232 96287\n77701 93450\n70644 96875\n15726 93848\n18270 55968\n6176 51533\n19521 88342\n43226 59718\n38018 49536\n46087 82893\n263 97311\n1434 35128\n98102 98248\n1987 9263\n33642 83487\n50014 55787\n11221 24548\n11424 68911\n12986 44122\n35646 84868\n15773 23135\n38175 48954\n62218 89345\n8433 93195\n580 63059\n32005 35473\n20796 54982\n53737 98714\n6391 87892\n32655 32845\n30280 70189\n29895 64565\n48375 56190\n32967 99387\n75109 91758\n23463 70985\n68570 97977\n27461 32817\n22453 43472\n18797 41716\n11291 91134\n1282 37807\n40233 78641\n69134 98041\n58152 87585\n48436 59087\n71228 88467\n25223 38077\n33110 56956\n46655 97018\n6789 94463\n19127 36076\n1399 72181\n12169 80446\n4440 15460\n2354 87992\n45578 68347\n82407 92720\n41969 48573\n30818 73900\n36963 72163\n1064 53168\n54923 87134\n9105 39414\n35581 91232\n13447 14400\n10820 66497\n10892 76933\n9727 40537\n51874 92093\n27618 56519\n59828 87930\n30114 82295\n2333 34663\n75006 96249\n11260 74178\n11035 54549\n1662 66351\n7800 55601\n54257 83077\n3955 18625\n29221 36524\n37368 75087\n25147 39527\n27732 32525\n28945 99399\n28855 61358\n32417 54776\n76934 95474\n1456 46713\n47530 61313\n54785 85874\n44941 71178\n15416 51547\n48435 79758\n220 48667\n22021 70668\n52758 77923\n51768 56310\n17042 68046\n38116 50741\n78816 95835\n47690 78548\n16808 21773\n1319 92838\n16869 66892\n12669 92045\n40735 58083\n30069 59184\n9882 99968\n38388 46472\n1685 91248\n6189 83373\n6574 43610\n28145 52352\n18054 57082\n42970 95702\n8607 38262\n6755 19684\n4719 66591\n3719 24490\n19668 23181\n39581 41277\n67487 83497\n26842 27122\n4183 88257\n12308 49570\n389 20247\n11547 71393\n3725 91465\n75634 88816\n23684 88225\n8297 80466\n54428 80652\n2384 17078\n36088 63771\n37712 65236\n499 35155\n5124 45122\n4653 88544\n69830 78368\n18111 47313\n2079 99352\n2627 6759\n17429 81893\n31572 86566\n8011 26248\n46038 88670\n48691 98586\n45258 50567\n34904 79565\n45133 50654\n23048 86913\n14572 46069\n2344 30173\n45076 88838\n11630 56244\n50060 98687\n47536 98987\n55101 87191\n38054 62850\n32605 99708\n69073 82014\n48717 67422\n69337 95204\n13418 39969\n12305 85491\n9498 28025\n4767 78595\n61555 75321\n51840 61511\n47321 85798\n6010 93719\n54895 78603\n25589 26146\n3559 13149\n6725 94721\n17389 24771\n20033 98132\n30405 88660\n28643 39110\n29592 50250\n86648 86957\n24130 36339\n57874 67428\n27837 94504\n6121 16314\n64931 71534\n57840 83877\n59271 85028\n21872 66607\n20306 49271\n15315 78339\n21712 66641\n91700 98203\n80365 87244\n1133 14801\n27262 37982\n13032 54619\n17043 35858\n44090 68241\n49076 78658\n952 20472\n24022 37333\n12126 86957\n47264 61709\n76889 77133\n67805 67900\n11792 90511\n7112 89936\n18766 87998\n24427 41618\n63060 81457\n54198 64153\n21170 28515\n19626 83523\n2787 34449\n47474 99191\n54951 86423\n33852 93725\n78180 96941\n13045 39680\n74231 84910\n8590 16263\n3389 72157\n6604 21055\n39562 63204\n24467 41586\n76418 91628\n45982 73996\n2447 54530\n56170 72664\n39179 76119\n67008 79758\n506 49733\n29018 79085\n4809 98223\n31955 32426\n32274 58997\n62573 73537\n54436 74104\n62728 66631\n6522 61573\n24462 28606\n14564 62218\n38 21550\n31834 53618\n22925 55370\n6568 73617\n75698 83201\n47561 48767\n14671 29906\n56041 95431\n27760 50877\n13693 96545\n26652 74895\n3331 6176\n46779 81497\n8864 73684\n245 81602\n80997 99524\n61153 77348\n32806 98932\n32579 76841\n24586 71989\n43882 66956\n66597 70767\n8739 38818\n31288 45842\n72048 87549\n1595 35214\n38982 80710\n14311 51961\n29544 71450\n58747 92398\n73964 97147\n71825 87745\n1210 13554\n28754 90962\n67709 75957\n45365 89813\n3079 35509\n53600 76368\n51689 97902\n6440 41035\n74082 84057\n29245 78691\n57234 78011\n92212 92555\n80056 93306\n12520 56206\n46536 88443\n34750 64576\n78304 82140\n50931 73398\n3547 46665\n15667 33472\n6590 93443\n988 16163\n68149 92837\n28082 33548\n25599 57428\n74830 93553\n2938 59971\n9076 35450\n49100 91429\n16802 69398\n3975 75439\n45114 83044\n803 26471\n10806 13987\n38923 46659\n21369 26956\n7884 23336\n27227 73346\n13555 40340\n4928 54101\n63968 69354\n31881 74988\n27888 43966\n9208 29963\n88205 88388\n5912 14614\n48517 54468\n57902 80626\n5775 26837\n69546 86037\n43281 89064\n41158 58142\n11538 28437\n19382 27311\n54916 62844\n33474 58542\n66127 72137\n8087 71978\n28017 58393\n777 71621\n43678 45925\n27980 50748\n38212 47482\n38387 95023\n30358 76804\n43539 95313\n54394 65730\n21222 26655\n40007 58469\n8946 67831\n2812 32990\n55730 56914\n2843 58129\n27486 53776\n8845 27331\n54191 80051\n59175 78191\n14549 74987\n12726 47928\n8714 85164\n13081 33320\n36539 47297\n52569 80907\n15043 15816\n4684 94824\n70899 96535\n44692 93593\n218 84497\n72593 93555\n29196 96610\n61060 62414\n8840 32916\n10496 13679\n5071 35589\n86404 98818\n81501 83373\n71098 86833\n7718 76695\n47045 66296\n16468 86241\n19801 88219\n55123 74253\n8452 51258\n54500 81189\n12760 83490\n27812 31919\n6531 55012\n43659 98329\n668 62755\n30413 81865\n40360 41591\n23576 42830\n3034 57476\n3984 53346\n46729 64709\n81098 97837\n22028 50652\n33763 78546\n68564 85430\n27228 57432\n17382 18826\n7931 58168\n40511 45406\n6057 61047\n33162 65274\n4781 89038\n51366 65422\n27710 99191\n9186 47280\n43443 62608\n31876 80525\n65029 96579\n15104 70613\n61856 79576\n43718 66197\n35553 96994\n5513 26984\n36589 88668\n33947 83821\n13257 15038\n6321 10067\n12502 52343\n13054 90858\n54469 66029\n13252 22701\n11053 13741\n33071 70334\n60777 86125\n13737 65967\n83754 97342\n30043 70678\n83476 86686\n16001 17389\n44165 97722\n23826 62479\n35177 78402\n613 24145\n41404 85017\n46381 61254\n28655 42925\n13056 54973\n53745 83448\n61204 62536\n68052 93413\n62892 78352\n55956 82523\n4422 56860\n13384 84189\n46699 99071\n68569 86361\n8364 60668\n4913 24853\n78860 93962\n35125 72319\n39286 58575\n41645 44958\n977 9585\n40755 86730\n1514 76536\n6522 10995\n72416 83026\n49106 81631\n35008 72057\n59254 97504\n5010 76689\n38070 67235\n7517 36919\n4012 57216\n66679 86698\n6243 75208\n62317 73494\n1356 46967\n39434 57833\n22797 29102\n16636 74054\n63427 85075\n28717 87071\n86245 92581\n26823 99373\n10147 15002\n10685 33895\n46718 97461\n15342 30852\n41225 65232\n8870 77058\n20885 29894\n5292 98506\n18188 86308\n4869 37357\n37486 83950\n37373 57942\n93487 95276\n12184 72934\n15421 85739\n6109 79320\n17000 84285\n58886 73434\n89156 93223\n5096 41292\n2221 17236\n47790 67389\n7940 83650\n41992 87714\n26506 84591\n62194 86227\n45950 92199\n47451 74635\n82589 92362\n39017 72874\n11707 48131\n47049 82509\n19301 89002\n18093 37716\n11065 79286\n24524 69438\n2455 88689\n66143 85429\n67225 86024\n70139 79748\n5577 52296\n49748 56564\n27459 35117\n44877 64246\n56553 79147\n9035 47229\n4659 96349\n34806 68876\n11860 19810\n23009 65856\n15200 79713\n46888 62392\n49308 53711\n16029 77601\n14134 48356\n48061 86464\n30260 54794\n11949 47125\n10344 89499\n17722 78391\n6695 99799\n72335 99692\n8038 83870\n67534 91403\n25544 97893\n24819 59116\n24304 87366\n44025 77044\n9934 17782\n19001 99288\n81622 98792\n16893 57319\n80432 96751\n22813 65974\n39973 99322\n16325 18169\n13290 33971\n16220 22025\n64576 93581\n19165 72538\n29782 40050\n85074 92274\n11966 56665\n26341 56784\n9269 25193\n36375 73317\n50083 76878\n70162 94858\n43496 63826\n22889 27085\n30000 85502\n27364 57778\n10527 44085\n54290 95941\n48207 57388\n32677 70709\n18089 53633\n4558 64040\n3316 8650\n34437 59218\n63630 93951\n8163 38664\n53619 54275\n26338 52086\n2570 29982\n39239 88871\n50638 92084\n34467 50386\n30256 76481\n6682 6684\n22565 34446\n19247 53768\n2023 82669\n70381 73498\n55347 78471\n5443 20210\n58167 65075\n2878 73610\n13614 22700\n38780 85315\n58538 78298\n67013 74870\n11405 33202\n79838 84290\n32358 85516\n8390 66511\n26197 72863\n40188 64902\n65157 73159\n12526 28772\n1858 12944\n9878 29162\n13042 95497\n66588 85777\n12242 31107\n8614 99504\n90043 97756\n47754 50510\n72777 80577\n13872 66290\n26318 27244\n15558 24720\n52435 78659\n48468 66388\n6742 79056\n20337 63509\n2191 30666\n32804 44629\n23428 90686\n23396 95834\n17995 19704\n56975 82950\n40577 93899\n4110 7555\n22242 84170\n26481 49191\n27147 49956\n1593 94661\n72144 87391\n16605 31342\n25746 27925\n41064 86117\n69288 90203\n38253 91216\n2440 29413\n8857 85083\n46225 61617\n9941 85459\n36797 93218\n38895 71436\n4026 25259\n25576 36537\n59734 81823\n19001 60941\n2874 70464\n5358 62020\n61603 99969\n6100 89454\n13231 34240\n14711 78228\n66392 93688\n81035 91420\n24892 32528\n14052 26106\n10675 98021\n47733 70229\n15733 17877\n2475 49968\n44434 57361\n17964 46034\n457 79362\n2249 17074\n97397 99935\n24421 75589\n23949 27183\n46054 87442\n10708 89793\n46682 82808\n33756 65434\n63705 94354\n47820 63527\n38976 63860\n22019 32150\n17316 48393\n36631 65564\n24453 77732\n26710 77657\n4129 17462\n36602 44970\n16908 99759\n42618 86094\n17444 49918\n3440 56738\n26273 97067\n39796 58985\n40393 52540\n5395 66897\n20971 30150\n65703 84212\n24145 92447\n4652 84754\n15832 60369\n29878 67822\n867 92695\n32051 60637\n3220 64244\n1643 66512\n27583 64560\n5096 85393\n10356 71788\n68159 71603\n55389 56254\n29366 99384\n49262 54503\n4495 86516\n14372 27220\n31895 53236\n50412 75725\n11895 23892\n15123 60762\n53995 54782\n48125 93220\n18192 51406\n80045 88741\n70013 95065\n918 24806\n61766 80715\n1339 2551\n65541 94133\n51926 86460\n10253 47735\n14379 30615\n33402 80519\n81437 83105\n59780 68195\n36473 84104\n67254 78582\n49994 70545\n16825 57884\n6127 29518\n17081 39266\n5833 98021\n435 83780\n86037 92934\n37029 66417\n9216 97920\n52591 79134\n82886 98175\n42633 81993\n28544 35299\n1737 24398\n14944 89149\n20525 92940\n93630 99202\n15853 84508\n22948 48570\n3286 61508\n18201 43086\n46421 94707\n7335 51753\n58291 77798\n43974 54060\n15148 88525\n24262 80574\n37825 59806\n25939 54613\n50717 70415\n4241 18218\n37546 62608\n43082 68724\n47024 97031\n57741 90778\n51044 77477\n97038 98006\n58317 99939\n7543 72896\n84344 92722\n32195 43093\n7950 8283\n20794 76019\n18526 71452\n24248 40219\n67611 75157\n72760 95575\n32758 42594\n52767 57051\n9534 38174\n44090 44330\n69178 77147\n38379 86040\n39125 44992\n22870 83626\n73241 82744\n70035 97743\n25936 90106\n6571 95317\n34802 50287\n12819 70497\n1360 32424\n12977 96582\n42062 69142\n50585 64410\n59990 69985\n87016 95357\n40489 88517\n9738 19491\n20278 66596\n17349 43253\n44950 66120\n33267 89936\n84472 89423\n39363 46264\n8960 97740\n18393 48768\n60120 69385\n9044 55257\n91698 94850\n41520 42635\n34761 61260\n11205 29796\n30629 84897\n39651 91304\n12597 78362\n36950 66543\n10601 88944\n13632 69095\n25441 98821\n42235 63272\n50588 60665\n75567 93047\n8509 81480\n57182 87938\n53725 66973\n8718 28533\n25221 38967\n26335 39032\n18521 87366\n64107 84459\n10230 56749\n20208 41317\n7641 46312\n4772 12912\n27845 70495\n21970 85188\n43596 60502\n12988 75273\n77072 92124\n78129 96588\n29487 96769\n28204 53172\n78969 80997\n25267 81112\n26930 69295\n57679 64079\n4770 41406\n10595 11637\n58640 65473\n8390 47807\n89451 93821\n50022 91641\n13135 38069\n10850 93289\n50937 52468\n36306 93405\n17865 36752\n28180 95444\n36552 48476\n59275 87384\n76764 97726\n72873 81380\n6201 47404\n43818 48844\n64264 75119\n73189 91671\n46050 83660\n13557 25052\n33 84518\n85767 92145\n23863 97957\n29445 94362\n23555 62106\n52851 65298\n78168 99219\n48296 73520\n3353 70427\n55667 66405\n21989 45773\n9508 69464\n69893 72624\n51641 67169\n35367 99980\n50884 59584\n5464 43839\n20225 56675\n31194 55029\n47818 59370\n26166 88065\n51550 63389\n54389 77091\n62565 66971\n48235 81333\n1065 72238\n26654 28338\n342 94516\n15676 71763\n53631 58726\n48401 63189\n33704 52287\n21753 23923\n6776 61077\n39028 99840\n10139 79545\n32296 98294\n19793 62878\n54009 98651\n39282 81569\n45781 92027\n85016 93830\n75914 88009\n9793 45631\n45388 84204\n23777 54576\n49915 66081\n827 81647\n43563 72693\n2084 55342\n56614 96784\n13993 64995\n50359 51495\n31319 88686\n21711 36540\n39817 62475\n34271 57853\n41294 67844\n54159 57688\n34946 40302\n25772 47847\n40638 92145\n15637 65966\n65484 97351\n10716 50214\n33782 90105\n39055 59656\n53824 82596\n35829 54708\n60974 78480\n21676 29186\n81268 97173\n67437 77618\n25100 74995\n9217 22714\n66999 99653\n33088 86375\n32498 82556\n7066 27444\n78232 80107\n8759 91897\n11823 17931\n35055 83573\n21383 89551\n50779 65847\n13083 27551\n23993 69058\n13514 79200\n18788 77291\n30561 87195\n40306 58199\n63091 67102\n63465 96179\n13744 69439\n8129 43161\n30126 98287\n64453 95862\n84212 89502\n17369 52112\n1909 82987\n65403 94101\n26125 28441\n3214 59435\n19452 38573\n28595 80778\n8815 98879\n22422 86652\n25697 43129\n78991 81947\n35513 69945\n1271 44251\n64109 75556\n13752 68758\n9400 41181\n9785 49632\n3459 37141\n2069 88798\n37695 59928\n64769 73971\n16651 39164\n58095 67300\n31955 90709\n55234 58724\n29513 63365\n44194 67654\n12491 38949\n39886 82909\n16768 18459\n62708 66694\n16570 38791\n54293 71444\n20142 65638\n11997 59433\n18265 79540\n89917 92356\n50570 61014\n3497 88739\n86685 98591\n55041 75988\n76286 99333\n9534 36163\n62503 83990\n8834 64518\n24154 81806\n4309 93135\n75438 92506\n28964 53986\n13722 72961\n42875 48853\n31413 66442\n2196 98087\n75380 75405\n64269 95398\n23423 28539\n30391 31525\n19496 71366\n20353 41617\n13698 75610\n26437 84945\n51105 51467\n463 48166\n3055 23035\n64640 91825\n36493 65914\n72617 83035\n74746 83069\n84883 96388\n5589 94096\n44986 95262\n2003 32226\n26846 57038\n29137 63662\n368 2549\n5499 42113\n17258 32082\n16149 53666\n20434 92208\n3455 86199\n14597 51457\n28556 69328\n15439 87378\n14236 55892\n4743 88206\n16807 86325\n52076 84811\n14371 67519\n55626 83004\n22933 95797\n39919 78300\n9946 37836\n4690 14675\n61429 98217\n17760 60287\n55225 89851\n7987 25057\n11475 71970\n66617 71373\n52317 58002\n42161 78719\n30323 73504\n43076 80274\n2513 16371\n52166 88789\n5579 94756\n3153 65951\n25056 48133\n10513 31600\n68813 70648\n3653 53141\n64142 79722\n41822 44277\n45312 62933\n79423 89912\n76533 96312\n15989 55116\n34155 67117\n16575 33013\n88238 94243\n16059 30704\n24120 26226\n46757 93215\n65417 87769\n21046 24280\n69377 99727\n53110 80552\n22755 70387\n11808 35060\n2635 74999\n5635 54503\n23027 59660\n18625 37569\n14996 63365\n58449 91162\n72769 90822\n65909 83260\n23503 57086\n4056 13613\n72190 89200\n56298 83106\n19173 80365\n25095 75321\n50664 52291\n20326 88504\n76232 76585\n13899 14520\n48280 86462\n9649 34353\n24705 56750\n46162 86571\n8856 40719\n83492 95683\n40661 93488\n60728 92687\n14020 29198\n20753 69918\n2071 9459\n27250 91199\n36612 78265\n68766 96291\n40610 53261\n610 58829\n4259 61607\n45398 96269\n32619 33063\n7075 88960\n28239 59330\n12747 98215\n49793 71190\n1821 13269\n19958 76163\n2911 55803\n5280 83949\n6186 67683\n67513 84696\n9761 30056\n53208 53389\n10163 93885\n20891 53088\n37846 98852\n84339 94321\n10250 48317\n45421 96360\n792 31250\n70043 73015\n69948 82865\n42167 49206\n79938 91745\n7631 16892\n26689 40666\n12420 26205\n10468 91598\n30137 59972\n20403 87030\n54420 87646\n55405 61987\n40193 41536\n12573 56441\n37063 87336\n37189 84240\n28588 81678\n3962 61893\n42907 51658\n72136 85134\n14287 56954\n75452 86192\n17932 78213\n56226 76954\n21418 22290\n80709 84692\n48432 94028\n38965 44933\n4520 98005\n27568 88685\n83768 87853\n46343 87948\n77767 96729\n41196 97153\n50340 73092\n33112 87890\n36694 94094\n40149 54589\n45251 99600\n30262 81666\n77477 85767\n69405 72244\n21670 22316\n63686 63723\n67659 67795\n37204 45314\n4344 19917\n14817 95736\n17096 82937\n21968 54004\n9567 66532\n68373 92771\n50090 79228\n6104 70756\n11622 86499\n23426 63920\n59271 73910\n8034 65238\n17173 52108\n57099 66845\n69932 87115\n69930 99195\n12124 15324\n29588 62272\n44198 84490\n3106 9209\n7375 99440\n13307 75450\n40055 99108\n30459 81820\n55576 98321\n63062 88294\n9350 26043\n13564 17989\n13984 53394\n93302 99176\n8157 20851\n37725 54766\n30922 40896\n55465 58423\n1042 82274\n38901 78395\n70819 75067\n32560 85987\n71152 71281\n87339 94169\n40138 47093\n3265 62124\n63075 84295\n77853 86585\n46226 95282\n53439 60688\n23549 56092\n27620 82018\n63724 68187\n1583 7606\n14769 67716\n61961 72031\n34850 63875\n73890 80873\n38413 40524\n13580 76349\n22850 87858\n3768 85906\n13512 35400\n23550 87895\n72249 84821\n39597 67378\n21758 34502\n13120 89645\n3727 42423\n83639 92154\n9207 57755\n47392 47409\n53891 86625\n50359 74024\n18499 37494\n3555 11888\n4835 95064\n41665 66751\n48719 62035\n6841 42188\n26382 74500\n25516 98724\n56422 87786\n12180 77274\n422 40574\n30641 51444\n36270 37189\n46643 55195\n55039 60207\n75471 82224\n59009 61720\n4964 59102\n22755 87056\n11373 88731\n36961 50797\n20005 86024\n1784 10585\n35525 99045\n24919 38101\n20686 99816\n26656 98550\n34591 41167\n45805 46638\n19908 25320\n21310 52658\n13348 16066\n36965 98599\n73485 90921\n26895 77634\n23227 82450\n35428 38584\n56285 82220\n15755 19224\n40425 54952\n69074 98823\n63468 82765\n71933 91125\n24138 90589\n57954 75838\n59579 61867\n10470 41820\n47905 69249\n84729 89445\n2092 99829\n5772 16940\n21375 94947\n15272 61742\n4047 88083\n24749 72036\n42949 68355\n6943 29960\n22405 78681\n12015 37852\n10163 61321\n44118 56666\n8931 10961\n54463 87069\n34898 35750\n19896 55077\n38785 54387\n26419 69466\n8049 92788\n64452 81472\n1652 71792\n38306 94761\n42147 70244\n9202 28581\n53455 94335\n39725 57451\n49965 65339\n11547 27235\n9991 74975\n13685 18799\n25437 71492\n2460 65079\n80856 88439\n4213 61320\n37810 43288\n67611 74653\n13217 23140\n25945 96696\n43739 89248\n58664 63998\n8101 46704\n15635 71820\n86208 88378\n24401 37077\n51643 67145\n74863 85632\n57643 57765\n28247 46924\n22550 34848\n1078 91398\n34101 58781\n75847 98862\n79153 79484\n30360 45802\n90011 93298\n32078 64194\n28436 87845\n51218 68081\n55087 71335\n18857 82681\n30186 98940\n36569 71843\n30698 34150\n34142 81413\n68423 96766\n48633 68370\n38765 81881\n40542 54852\n2584 73867\n42592 58579\n25051 48146\n16854 96106\n13128 23164\n2922 59731\n8923 51484\n32198 42372\n15387 68248\n32940 40177\n38734 77406\n8129 9697\n49863 64183\n23598 97380\n82763 90558\n69566 99914\n73221 84463\n51436 76369\n5045 56067\n50759 62153\n2584 43057\n73660 76344\n23906 53257\n39645 49479\n708 2194\n58553 64033\n83814 88819\n40999 47454\n63755 90297\n7511 20190\n9834 81927\n7821 77867\n21556 22998\n59284 92404\n18552 78664\n13469 89277\n3460 11030\n88494 91328\n73655 99501\n25728 76349\n74539 86849\n94746 94830\n27794 46399\n47401 60937\n68974 75960\n22499 63318\n31614 47291\n13256 25813\n15442 97214\n6380 82410\n18605 78776\n53236 70650\n4712 81765\n4164 36283\n67928 71018\n7089 63368\n49470 89684\n48616 55551\n65852 75523\n34517 66868\n490 72292\n4941 59455\n6590 52362\n6903 70825\n29251 67865\n7069 56695\n38884 56801\n7300 97141\n60907 80058\n70484 93072\n19594 51708\n14968 64771\n21927 30966\n74480 98380\n65262 65335\n13360 34885\n60021 73730\n57519 76131\n13523 80685\n4886 5939\n28424 96444\n55149 64501\n46315 64684\n1705 45550\n54039 83345\n5244 37336\n59824 76365\n2117 35950\n14988 16294\n5634 14152\n17857 64514\n44897 67436\n8003 58544\n43745 98956\n3818 98749\n10063 77105\n32098 41637\n37576 51079\n34494 60490\n13155 26347\n59759 70542\n38181 45494\n9296 35003\n58661 86274\n282 38970\n3804 4570\n3434 77011\n1976 60067\n52523 59208\n32100 54355\n12447 60584\n33074 87748\n508 55625\n26519 36739\n41370 58439\n16880 91232\n27190 85151\n59483 76799\n66642 71106\n42613 69149\n27186 30282\n45240 57815\n65473 66420\n73594 98456\n82134 95903\n20541 85817\n57272 72275\n23014 95404\n2237 92961\n83279 88884\n33348 41465\n29668 46263\n37753 56841\n14520 47010\n67197 99731\n29729 39322\n34315 58266\n96046 99585\n11475 47520\n59186 62663\n3918 71249\n19839 99041\n2374 47970\n6103 61878\n47205 97345\n39364 69198\n460 66825\n7577 95123\n82940 86596\n549 98150\n21878 60719\n3111 44886\n79094 80540\n85434 87720\n12098 54292\n28805 85039\n7418 29794\n27912 58262\n30164 35437\n4664 77240\n34644 34972\n31064 87059\n35040 99635\n12225 64359\n3063 33285\n64556 76540\n15283 71144\n26730 48607\n52664 78658\n2039 22677\n29127 91710\n40394 88603\n17031 71997\n13308 63441\n26037 92254\n76386 97709\n11443 82245\n26797 38121\n70786 78083\n6559 15440\n33205 97722\n33396 66698\n77323 83050\n7691 37655\n5535 94095\n7765 29629\n17645 27560\n4006 63389\n40068 88976\n1416 65110\n10890 87986\n56110 99148\n9221 30992\n43535 50604\n19144 64475\n36608 99329\n34865 84027\n27140 39475\n24145 30549\n1006 85353\n48312 52802\n4059 46654\n59924 82335\n36968 77651\n43274 44440\n1926 36270\n45304 78995\n46846 81990\n3597 54635\n75969 88899\n58604 86719\n48300 81476\n63344 99098\n51566 91098\n42816 90858\n30642 32686\n9095 94541\n93870 95883\n19471 69782\n53120 93001\n11524 34606\n38265 38951\n45437 89771\n1558 5106\n9725 46271\n26481 34766\n24565 55570\n21740 49585\n34904 54676\n4686 30311\n85778 87005\n37156 66903\n74152 78919\n49466 68393\n41167 99258\n17064 29646\n10437 28773\n18437 54087\n27787 95993\n70589 99009\n30873 90991\n30727 97778\n32630 69465\n9372 90676\n24328 97678\n7804 94204\n33379 82683\n54951 60788\n4531 32347\n55189 82582\n87916 94830\n48905 97815\n12563 22692\n25243 67355\n42394 66969\n3000 28888\n66116 94143\n31904 46489\n7153 86548\n56493 94229\n31023 98050\n49495 49883\n16096 32851\n28343 41117\n57101 92282\n16059 44733\n25019 46907\n55926 99839\n86871 93889\n15360 81211\n19880 60078\n39040 56199\n45423 75970\n38683 87623\n34827 85117\n67365 76100\n33246 72864\n47050 54717\n26250 71427\n10516 62392\n9092 36792\n7381 60805\n54424 75906\n10694 68393\n96372 96977\n48012 93093\n71108 91121\n56404 98462\n68069 78879\n65700 65990\n63917 77736\n45240 53131\n32690 93308\n10170 28033\n567 88679\n546 40927\n47451 82844\n75907 76601\n604 56640\n42178 74004\n13697 97378\n34984 72372\n59942 86719\n6606 70727\n34988 74307\n84191 84294\n16776 29123\n29181 35617\n5360 93425\n54170 73506\n66401 94266\n86701 93334\n24650 63883\n71640 78611\n30288 74267\n14095 66999\n3877 69482\n41873 87061\n3102 83107\n25661 55790\n31472 70154\n24574 41925\n11676 61633\n33619 52659\n53046 57256\n43743 88734\n33088 40864\n23796 75482\n58373 96594\n23293 60951\n31601 44449\n17281 56493\n47993 62244\n5677 40124\n146 61331\n43735 89226\n72299 75164\n89037 90802\n37817 55277\n32856 76037\n81945 96658\n2043 10731\n37824 91220\n13233 59509\n16021 67291\n78714 90944\n35844 47188\n65325 99451\n30812 51200\n4245 77677\n15760 82535\n56512 63564\n9820 48819\n87101 99711\n18385 41949\n26637 86349\n15461 54279\n19628 73342\n7048 87983\n18677 54605\n23629 81626\n59843 69237\n2505 33254\n32826 93213\n3801 12573\n9720 93524\n75461 88962\n19805 27571\n5720 27584\n14287 64326\n9715 88560\n27212 36691\n24286 79299\n31303 58285\n27698 38452\n29673 40594\n24299 95187\n79700 91897\n18034 39879\n26993 36804\n9163 38995\n83620 88553\n79794 94488\n4501 87633\n9561 29690\n7854 56607\n25607 83000\n19385 95929\n77737 97310\n15648 18702\n517 28073\n77939 92020\n87124 88314\n10420 15000\n5739 45547\n52036 59562\n31719 97056\n30638 97626\n38833 78077\n6015 50820\n61718 77865\n5911 87916\n31660 44805\n12054 70148\n23128 37216\n73491 83522\n22485 43963\n13641 30413\n24664 95675\n38194 68993\n26804 36235\n25933 80136\n7625 79272\n38082 85963\n10899 16494\n77795 90541\n13796 77841\n12959 52308\n17198 27523\n53502 88588\n25399 81996\n72138 79946\n58213 63202\n50265 61435\n40893 73881\n5632 33842\n30438 81297\n80130 92012\n4675 58564\n333 65617\n51908 54551\n17736 84627\n4299 39215\n14907 54845\n65074 87984\n22603 72886\n8303 96078\n47932 90297\n6675 30011\n19487 77361\n81327 84362\n47931 91925\n11327 25502\n46462 73172\n34647 57368\n32766 63037\n30890 77943\n22947 85635\n25289 55510\n32720 52784\n1592 4834\n66935 90798\n71244 87434\n21723 76976\n12848 65215\n38871 72721\n1830 90987\n52223 55581\n12233 69826\n7675 87992\n71054 85160\n44947 89785\n62210 70772\n8551 81465\n49165 57961\n20155 40449\n7481 24113\n10676 39841\n46568 94353\n37727 73281\n75448 76792\n3653 37072\n46828 50590\n5788 87936\n43253 58515\n50830 86414\n36408 47390\n11256 67730\n5104 65851\n16421 99785\n6495 79811\n42332 77500\n33596 49644\n30914 96248\n2455 82651\n24240 34365\n44520 63809\n1706 90307\n12981 67594\n51906 94524\n16124 69191\n39829 47701\n22202 46363\n25924 92687\n68411 95979\n31807 40405\n28415 49799\n9279 96720\n11572 75898\n6259 63518\n38105 82027\n4960 60635\n57546 78342\n20859 90656\n33480 99847\n46636 88842\n65374 87004\n233 6726\n67178 79004\n7402 11759\n77537 95911\n3267 33209\n15747 68925\n29743 87537\n78118 84689\n21472 73061\n6990 84385\n25103 54871\n4223 63527\n36268 37931\n6834 86586\n33422 63588\n1750 11594\n12916 15440\n41177 41621\n41051 79318\n33291 81886\n34682 40270\n51510 87247\n1979 12056\n44896 91354\n44932 98634\n42198 97902\n39218 49926\n4974 52075\n14614 55995\n11185 34416\n56633 67003\n81240 93182\n1799 87484\n1754 78381\n19289 87839\n10162 10237\n1359 49466\n9459 50434\n33955 74074\n2683 7433\n3861 40083\n11482 12086\n43734 55510\n1319 24484\n31411 46726\n73513 96977\n18687 73453\n8691 41453\n63148 98421\n3264 85217\n30299 32966\n68909 72809\n11004 99056\n35487 50117\n72369 87903\n41172 66730\n79261 98802\n9288 27090\n8844 86604\n41229 66480\n48240 99250\n3813 52679\n15967 65375\n2377 38961\n61052 97572\n27298 79573\n10182 43650\n53441 85587\n46588 53865\n34526 98509\n43719 62409\n60128 90217\n26978 79393\n10407 41927\n67175 86518\n40672 49601\n47183 71248\n9120 71755\n4063 23403\n94986 97606\n40726 62314\n59214 81998\n71133 82642\n51406 52111\n14269 59563\n40262 52139\n8766 23865\n68434 82811\n50123 87551\n6966 43385\n13496 26396\n43863 58838\n44636 95335\n76576 81331\n91297 98774\n12239 18085\n19715 57133\n32799 34167\n54 29225\n48370 79776\n27756 61453\n14401 48998\n9695 45729\n7210 20034\n39933 58618\n27103 58256\n39331 57155\n16037 69117\n57872 90276\n5285 91084\n10678 44588\n47139 72490\n31459 77611\n18203 39805\n64662 92603\n10059 14473\n27103 99228\n42568 78963\n5740 38269\n58072 98504\n4921 96951\n31982 83023\n19402 43340\n39635 52441\n56875 88782\n22313 38740\n40913 98267\n49621 87607\n43074 78445\n67914 96207\n38641 89768\n77611 85965\n1393 56576\n17189 69760\n36606 37893\n3267 32226\n23416 83514\n27147 96087\n50709 96613\n18522 28711\n47014 93527\n33136 80931\n47707 70048\n19994 63875\n2353 40700\n24750 65682\n67665 84808\n27321 68126\n55109 73551\n72542 98657\n15345 47317\n10093 28604\n18200 41409\n54060 54770\n55454 60546\n57522 74483\n36714 69336\n50448 51736\n71830 81574\n83637 90815\n10886 20548\n13738 24016\n1153 95238\n41807 88192\n11516 43986\n5066 33989\n73393 89363\n57812 83190\n40323 52400\n72120 77052\n14440 94607\n3213 58935\n41508 77476\n17906 34775\n46248 60147\n19685 68522\n37814 50477\n54873 89632\n89119 99239\n84796 98176\n21174 31711\n95658 99364\n40837 58059\n8394 83772\n70489 97981\n57620 81009\n12310 50370\n11224 79762\n38571 53256\n25275 36217\n262 59337\n50979 90867\n36915 56610\n12550 40448\n14540 76369\n6339 86422\n33049 93568\n71975 84689\n26561 93302\n11653 43124\n5637 73454\n10446 69787\n15911 40276\n82078 88320\n8437 77289\n13363 37169\n92091 94380\n16349 17155\n12770 27378\n26603 62942\n4624 80425\n14185 95939\n67649 83290\n20475 49094\n5889 92338\n35783 96216\n5314 10462\n37980 38295\n33325 48329\n10413 82096\n20813 34724\n44710 92867\n11607 67806\n67914 88883\n45270 53691\n56488 87915\n44543 99320\n10124 72843\n35889 98886\n42446 58630\n16806 66444\n26345 99217\n36163 38859\n30739 65927\n63784 82106\n7901 46086\n41494 70212\n15028 34456\n30338 59928\n5604 76517\n54435 54555\n1769 96184\n19854 70799\n18362 34603\n31098 56846\n90051 92216\n23451 60317\n6997 96507\n21069 67225\n7575 83741\n3904 31225\n10236 60116\n42075 92722\n12727 49840\n9397 84520\n31428 97731\n48154 94623\n60222 98345\n54816 90286\n17571 43266\n5196 7371\n37319 37331\n48002 98120\n4581 80991\n57873 73957\n42875 64009\n1433 61058\n58363 96580\n34172 63201\n19344 22676\n13599 85556\n40973 82665\n26749 79657\n33345 97125\n26163 28658\n83640 84025\n60565 89789\n33131 82138\n93298 96130\n9574 92446\n35781 53937\n25524 49792\n87954 88801\n2302 10283\n8013 68620\n25088 94503\n5525 98140\n39265 57309\n46440 80247\n26041 49351\n7934 89042\n32960 74582\n69344 86573\n22914 51160\n53428 89501\n49032 60333\n24022 60613\n14478 42950\n14964 15006\n3281 46139\n36061 92227\n1692 98003\n46455 85911\n14703 58696\n34799 43181\n42674 93116\n12439 15339\n87173 99502\n5015 66413\n21909 25859\n39765 95365\n2187 65505\n14058 33768\n52627 97707\n52509 54827\n15355 88843\n7278 7750\n52248 53929\n5225 30788\n67778 69932\n52860 96116\n81254 83239\n5273 86150\n11541 16839\n55704 57835\n49571 55892\n26797 66419\n54124 90795\n9748 85280\n26037 40572\n17447 20803\n43182 78289\n2955 11493\n31297 31890\n87494 94872\n25078 35575\n85204 93411\n48871 65779\n38652 39799\n90977 93338\n24409 39543\n3476 39227\n33631 76941\n42867 57706\n12669 51357\n8573 21360\n12263 81229\n69357 69631\n37271 71907\n41398 76983\n32823 88376\n12244 73990\n9865 63187\n17407 19994\n15069 95160\n20042 60891\n47073 88298\n24059 88949\n9367 70679\n79425 80290\n23588 82127\n28636 83983\n89376 95440\n9151 10299\n12971 78243\n46395 93350\n7231 78690\n50761 57430\n48236 90206\n13003 96108\n32416 38638\n17328 20309\n30987 45072\n13863 34142\n41029 83585\n55626 83901\n18543 72456\n8914 89887\n45245 86551\n1598 66731\n49162 52708\n96315 99500\n32449 87483\n21148 77479\n20797 26587\n18068 82039\n32163 45550\n43823 68855\n11567 53555\n14758 65029\n58776 75870\n54894 72369\n27207 52608\n1861 11841\n6116 17480\n36597 55871\n26149 38009\n24948 98703\n5293 55446\n63216 65197\n68190 78695\n45476 78208\n12636 98666\n19165 86653\n6201 39647\n23566 38619\n15155 23121\n948 37174\n20601 48898\n23241 88813\n7531 56115\n74789 83013\n4481 92101\n3598 37024\n58191 70183\n20700 72275\n3353 38598\n44849 75390\n14761 24633\n43919 64966\n78317 98911\n15454 29448\n75490 89812\n57569 58706\n38435 94666\n11115 59410\n16105 84595\n49000 78562\n20305 89193\n24332 61999\n18266 52314\n51556 90154\n66771 79619\n4498 32232\n15364 74118\n86843 99483\n47104 77509\n50767 83408\n7024 49329\n28030 94931\n13312 29344\n4479 28996\n278 96623\n43453 90080\n16805 52333\n57978 85045\n13697 95135\n68479 79157\n29989 50524\n1170 76326\n14061 97380\n22865 53655\n13968 26783\n34881 49329\n26644 31314\n10266 36365\n16202 49647\n49014 65718\n38570 42179\n20534 37991\n51350 71001\n45119 74732\n1601 98472\n2031 88563\n80999 93426\n485 49917\n13080 55679\n3035 11485\n6777 15185\n20952 74062\n13546 77157\n77879 83568\n74364 74915\n12506 87918\n34525 35440\n47156 65000\n17811 86942\n40011 46912\n16415 56822\n55881 86058\n14687 93724\n25002 85681\n33230 62365\n55558 70074\n13397 48104\n50691 93495\n41514 80894\n23418 72041\n16178 41656\n15062 15565\n75807 91134\n62921 78709\n66783 88968\n15510 98305\n67623 76168\n2381 70911\n1541 32111\n1841 67371\n35273 80650\n65854 97431\n12310 47129\n39742 92001\n53359 57884\n29625 63659\n24504 75898\n35295 92144\n6962 28771\n28261 61612\n56653 66967\n3968 53780\n416 57666\n18931 96392\n48503 97373\n56526 73956\n33293 64953\n65020 76088\n52324 81815\n6042 46825\n16297 97643\n12532 80411\n71374 72429\n69650 87578\n56089 66351\n19214 75940\n74183 74974\n4685 45264\n42546 56209\n11472 90739\n28904 97650\n2080 2589\n32605 83207\n63444 77218\n59377 64062\n13806 76261\n26464 99603\n67900 99001\n34556 76841\n16250 71215\n6141 83726\n15866 51418\n21355 72814\n12059 98204\n60169 65275\n3816 83873\n36879 81835\n67442 81042\n14323 59206\n23956 56162\n14098 83129\n36385 57997\n50744 67683\n362 46839\n8204 44417\n8110 56849\n9809 24762\n63289 81616\n44979 57064\n26331 68945\n29485 63867\n19748 57902\n27675 71517\n34579 68055\n75209 89820\n1913 34433\n76776 83270\n63274 77438\n5517 23183\n8279 20189\n5532 71369\n21335 64701\n15371 77669\n20457 61144\n10261 58928\n36722 72663\n31533 92606\n11591 62237\n76826 99897\n21305 29394\n14900 79782\n30639 54330\n25286 55178\n55085 66677\n33493 39196\n38104 46381\n57120 57704\n10440 82164\n10525 77513\n8741 52590\n30309 98620\n27257 55903\n18341 96528\n52576 57781\n38584 70259\n42640 63474\n5762 30617\n40555 79720\n45410 62229\n6593 44432\n54471 90615\n27053 47997\n53110 82396\n48386 90801\n49218 87330\n6454 47583\n45745 51189\n70173 70310\n11841 36116\n40908 78659\n70737 94780\n2576 49316\n27965 66208\n68890 84743\n91663 93612\n20629 43228\n22178 73776\n14929 55656\n29846 81748\n4744 79194\n35947 52928\n12343 69318\n25358 34189\n40557 68875\n10166 83031\n29368 47650\n81689 94241\n38587 72257\n6294 17332\n24031 72984\n35092 69037\n16765 58606\n33798 75250\n41465 90740\n17250 80075\n8358 51094\n30694 85574\n29501 88650\n14348 37173\n45562 98075\n6114 68566\n25487 69205\n59254 69194\n57009 79251\n73253 99121\n65122 68934\n26015 63533\n10488 85266\n3402 66478\n44891 81628\n13792 64026\n55631 88916\n61120 64893\n32729 46858\n44381 51713\n14808 97316\n46233 60099\n854 25581\n38576 74459\n12207 20890\n28956 94048\n81525 92328\n3427 18232\n32948 76241\n64539 76566\n16724 77448\n3751 57608\n41623 47137\n31760 65872\n19362 66916\n7091 98126\n7369 44551\n27512 56468\n2724 31477\n373 55729\n7362 35941\n48060 61205\n29824 74601\n16135 86939\n25528 39918\n29889 80923\n1213 93676\n63208 67345\n18866 75992\n31994 88513\n833 63925\n76205 98008\n52096 94832\n63733 76598\n11883 98576\n6864 67242\n42019 79825\n23151 40942\n65347 69947\n31580 85177\n11147 33958\n52980 88970\n57958 68915\n7673 10683\n40236 79325\n5214 6254\n94638 99363\n66541 74571\n49726 90283\n41920 50089\n45277 63059\n13574 79430\n69982 97397\n72762 97568\n31053 58022\n40408 82368\n51793 84103\n84406 98960\n42234 48926\n52412 71180\n50890 57964\n5886 12592\n6984 87584\n54741 78431\n65114 83205\n28520 50575\n50880 64316\n26269 95731\n40585 66677\n94809 96735\n13334 41141\n11225 68051\n12260 73421\n16992 84989\n64694 85549\n42363 66656\n17825 88443\n19876 76146\n2179 30724\n35942 70300\n2522 16961\n6083 57417\n46726 47178\n44485 56910\n10358 13225\n46627 63859\n57141 96470\n7060 22908\n15391 57450\n32943 57104\n23727 26980\n68401 79796\n38881 67775\n31636 49594\n5768 99493\n62169 79357\n56244 92105\n41839 58588\n47437 79882\n3020 53471\n43528 45502\n25369 96959\n25785 63868\n20041 49626\n48986 58472\n6746 84726\n2667 55666\n77460 94054\n20157 53669\n21055 98740\n76719 92326\n50038 56908\n40025 51699\n932 82483\n91766 97331\n11154 55367\n72555 97151\n79290 82870\n39929 43376\n9318 57160\n62165 94803\n35222 95475\n94080 95186\n4026 65908\n47307 65841\n39682 55912\n31241 73689\n61585 64757\n20646 70898\n12739 34604\n28970 45579\n14485 66022\n47680 76807\n69843 70660\n11966 45022\n12517 35118\n69037 92188\n11181 26941\n2350 63600\n14888 56778\n14020 85474\n62591 71383\n67268 70751\n7632 84196\n78826 86986\n17357 53495\n23925 77296\n64754 87671\n1533 99152\n26917 56324\n49042 52851\n5144 55779\n13183 79765\n56682 80524\n8744 17391\n32379 63707\n36516 58538\n58554 90105\n45280 89434\n58152 95042\n8109 35193\n23724 51758\n3637 19235\n17461 56370\n57387 82601\n29292 57495\n8411 68875\n33462 38521\n71604 88637\n16093 63212\n57397 71196\n50649 82072\n4308 89780\n3520 53207\n42928 83849\n52429 70138\n75014 91063\n62739 93275\n44795 49244\n21634 62150\n49477 61510\n31528 38286\n29303 61223\n40800 51240\n6212 37084\n77048 89996\n15076 58933\n87477 97785\n60766 80165\n35091 68571\n6526 42062\n43724 91100\n873 3225\n3192 83754\n83024 92118\n53048 75785\n59873 96141\n14785 80786\n77085 88577\n20135 59465\n10450 53900\n10926 71876\n6570 8929\n60344 95592\n44031 85723\n6409 25728\n18152 86483\n12270 55610\n56441 57779\n38236 94186\n30939 93378\n7501 24105\n17070 41181\n13624 80254\n17985 96646\n58475 79155\n71680 87608\n15990 83457\n50776 95999\n18150 47157\n46527 63364\n54577 97801\n33478 72082\n33632 41980\n18020 36226\n6698 92550\n63496 88957\n11300 76563\n41025 59922\n87022 97533\n47436 81332\n11022 31477\n65097 76112\n5057 89790\n17153 34415\n31969 64271\n80151 83252\n44820 88297\n5737 39973\n15005 18195\n7302 81593\n44565 87872\n41463 80599\n11748 86027\n961 12318\n47776 82853\n32952 89126\n14964 79485\n8580 92511\n3651 40320\n17291 60441\n13188 87605\n14491 49675\n11203 68763\n8347 19221\n66800 91781\n37933 97679\n29035 84391\n1552 96242\n47679 84734\n12764 93998\n4280 82152\n11053 52805\n6417 6568\n12663 23491\n23452 57098\n57482 81526\n34773 75098\n51344 92918\n26889 87438\n12282 78899\n30202 70901\n2183 29795\n8090 63673\n23047 83425\n5628 83016\n42520 72802\n1595 53016\n238 23098\n4837 48310\n215 98510\n40215 86743\n44858 79340\n67336 95928\n89182 96092\n61576 69231\n69856 98907\n59900 94013\n26671 71793\n49616 76502\n10198 25028\n44875 75956\n48848 72718\n6058 52967\n61666 91611\n4318 25696\n75537 82854\n54020 92530\n70216 71624\n51077 93511\n11481 55010\n38966 67800\n24929 41967\n48032 65460\n33252 67015\n26607 96333\n41177 84105\n21127 76217\n3836 32984\n16553 86584\n2517 96520\n47809 86214\n69314 96083\n35518 43371\n40571 72870\n38753 75659\n3017 53608\n31027 41051\n17495 44422\n27601 48398\n12306 81930\n19934 59312\n70497 99963\n25230 87540\n14709 92573\n42373 49074\n64972 70784\n6791 72902\n10481 91259\n32229 86818\n31777 84675\n22329 37229\n19730 57897\n82711 94532\n25088 52782\n35031 99285\n57220 62150\n19381 98226\n12082 65976\n10060 79028\n31766 32624\n15262 40117\n40134 91229\n59061 60161\n51570 53976\n69752 80189\n76967 81094\n1048 17643\n23126 30785\n17073 47737\n36405 90601\n17547 70647\n37812 65113\n30024 65806\n70085 81530\n39887 57389\n51164 82988\n5366 93963\n50822 92602\n21611 82483\n91135 95523\n40348 86150\n44789 88236\n62183 86723\n82844 93963\n47471 48372\n10446 73242\n70789 99202\n9880 83093\n10811 21237\n2752 49175\n3040 76582\n14293 51875\n56922 90231\n50355 62539\n32264 42403\n25499 33421\n56599 98569\n35339 86177\n39239 65328\n47041 89343\n13468 44311\n28384 43495\n45425 51855\n70608 82837\n29269 79952\n9530 40748\n73586 90175\n31070 93156\n34933 39668\n14161 53009\n26611 84902\n28362 48492\n24676 72313\n66888 81360\n53940 91500\n49472 96776\n18268 95808\n34772 96361\n53219 94935\n21366 39162\n9884 64212\n43294 89838\n6408 77533\n21723 77869\n56560 65712\n31332 57773\n80370 99981\n5817 51306\n6244 11054\n81550 89911\n32432 58756\n80714 93583\n26582 70781\n81031 92684\n40389 78180\n21353 76380\n32249 56061\n17550 21910\n31785 51559\n53291 69403\n76916 89957\n3722 11616\n88054 93761\n3897 94547\n16864 97932\n54229 83823\n87342 92034\n54 49758\n33672 96697\n23437 93088\n41263 93523\n12611 85333\n40673 42760\n44178 98710\n8688 66724\n71 33601\n23395 66798\n17680 75501\n24850 82239\n7191 23554\n76182 99677\n7232 28669\n9140 28010\n41985 49572\n41478 63594\n69655 70792\n38543 54378\n45194 85389\n11326 56149\n59249 73603\n486 77253\n74188 94046\n4892 93599\n58418 76341\n5229 43242\n71478 77212\n23535 35758\n28294 64455\n2849 18161\n937 41054\n31775 99471\n66459 87353\n43379 84025\n1216 13487\n18519 27391\n39402 90265\n25665 35338\n46240 85742\n45480 61073\n3479 67007\n79475 97853\n136 97175\n7768 60557\n18432 26105\n88894 97797\n15748 46550\n8995 94796\n7146 94345\n52655 58550\n42424 93509\n49634 62394\n3458 91036\n13093 26913\n88564 96274\n84815 89330\n10294 28576\n21438 83320\n22612 29671\n84607 88225\n35434 53565\n57298 70599\n28085 84858\n4890 44192\n42212 63579\n9648 54791\n51352 57682\n40868 76314\n18168 54722\n47572 70587\n88259 92859\n33474 95847\n42725 84746\n3840 7908\n15004 83081\n14678 70707\n1612 5941\n29976 86873\n53230 98459\n10451 41392\n3610 62512\n139 19042\n32922 75746\n14179 37229\n38661 50288\n45335 57557\n82923 91338\n46424 59112\n24010 64894\n22851 36625\n72678 94595\n57221 70330\n10056 11546\n3290 15008\n5885 58752\n28121 42844\n54819 67338\n62166 95563\n6352 60667\n59884 91853\n25726 57969\n8531 38314\n50433 87792\n8268 88741\n36193 56491\n3881 92484\n15938 21149\n47063 75928\n65848 74555\n30264 75218\n41266 52530\n12115 18404\n43686 66493\n13550 33733\n56359 94560\n29946 42633\n7260 15155\n26972 86264\n45085 83486\n33786 81672\n2203 32514\n27327 28903\n78717 97350\n9155 55106\n8755 49136\n12636 55262\n49561 85437\n52815 81652\n31444 70702\n17474 86002\n57232 88275\n49075 77011\n22165 24289\n70290 79602\n13017 74538\n42954 92048\n23071 35934\n92657 97364\n10480 50626\n10558 96047\n19457 40786\n29463 51017\n20861 44427\n20620 63547\n80604 96687\n24223 35435\n60024 73522\n39408 45771\n4274 53618\n62913 72806\n74067 76243\n2907 97612\n42178 94145\n1108 89977\n58522 89630\n1972 87453\n49072 90396\n3259 4636\n11542 21223\n86572 87141\n66880 96775\n30398 37490\n21187 95425\n42944 66256\n9057 18158\n44270 55518\n45708 86365\n18859 45739\n34516 49626\n46318 48991\n45397 88310\n36269 89603\n3841 41415\n11380 70751\n43591 47821\n8748 44313\n96412 99412\n67490 68945\n15682 45017\n70903 88198\n15190 35355\n53695 76028\n25089 86413\n45742 83288\n23907 65078\n17363 57752\n7089 32009\n63781 94693\n12679 66414\n43576 85426\n48486 84456\n30696 76409\n2570 48923\n26893 80572\n42444 70022\n39142 42435\n42456 53600\n6334 18735\n65227 70232\n20410 80194\n46374 61677\n8856 64638\n46211 73030\n44536 94086\n39923 65011\n4887 11743\n16722 29354\n17215 20873\n14870 96823\n34542 79258\n16150 36489\n13501 64417\n39617 76651\n76222 88519\n65137 66772\n49786 83567\n11532 89851\n44795 77424\n55474 58271\n40979 67813\n27748 90038\n45213 65248\n4243 5328\n40336 43315\n66589 85426\n46376 96691\n44036 71413\n30510 54711\n79289 79470\n22392 91368\n18709 49385\n25097 99356\n66691 95238\n2979 57098\n3350 25869\n38130 49952\n54396 73312\n32041 35591\n25462 35793\n15690 80355\n26681 41944\n28186 48047\n12243 80614\n17833 68066\n48383 55254\n12313 30609\n10555 68388\n5647 53101\n4079 64225\n43265 46363\n1867 81475\n61277 73163\n40977 95183\n26631 28488\n12746 59222\n43648 76978\n13274 82841\n29967 72507\n13768 84689\n15694 95453\n69085 84400\n11629 93704\n54151 85070\n8604 54491\n73221 83707\n27868 63000\n49272 79108\n38194 80775\n65340 86312\n48560 56891\n70775 82470\n24811 89676\n54572 89670\n18270 49928\n43297 71831\n35405 91491\n23328 79632\n83679 88216\n6187 67860\n10525 88187\n29156 29497\n15000 72365\n19966 90851\n62344 90310\n33201 34038\n82346 84480\n17186 88646\n8980 16369\n72936 92274\n47193 70061\n96094 98537\n2361 14963\n67252 89145\n44865 82946\n18136 47055\n74665 98091\n69009 88784\n352 58386\n34203 44131\n21179 36468\n1930 35289\n23341 74380\n73884 77123\n11095 73218\n72779 97265\n62362 69449\n22597 43406\n4075 65936\n12742 79710\n42118 64718\n4675 22372\n19180 69617\n50002 93073\n46488 68741\n59280 63097\n69423 83059\n56863 70500\n39739 40313\n58209 84573\n44347 84679\n18343 91424\n16911 63583\n33168 41953\n1098 56374\n92768 96720\n83991 95675\n16308 41381\n15302 26034\n7098 71952\n41126 81405\n27436 29587\n21819 51043\n43292 81909\n70888 72055\n21873 65961\n97417 98702\n31549 96076\n5447 79794\n4456 44731\n68467 68824\n45895 83541\n7274 56330\n10247 57326\n53677 80833\n42 49154\n7222 62785\n62560 76812\n3037 5096\n23930 53858\n19704 93947\n38389 80601\n27621 55854\n69385 89270\n38019 64026\n18710 41592\n43561 77742\n81 9604\n1658 65894\n42920 85235\n16780 21866\n27981 77684\n7847 32928\n15539 76183\n13766 93503\n69146 85467\n3196 20816\n42162 93358\n3284 17162\n57586 71415\n55678 81378\n19336 27169\n67001 71669\n32032 60102\n39145 52490\n4755 39344\n51121 69120\n26013 35370\n52912 84653\n3064 10147\n4305 99738\n64655 73569\n42976 82904\n5621 83975\n41453 90618\n25897 55961\n15588 73997\n27025 31910\n45998 49462\n9680 18694\n27261 68793\n89766 98662\n39293 76648\n66222 71401\n62949 94497\n61646 68870\n28402 76237\n1904 5502\n19147 48498\n43106 45386\n237 87447\n48946 59840\n90728 90793\n48901 66940\n4880 21972\n11602 81311\n76568 88477\n5086 89164\n28183 82190\n4687 78884\n33554 98194\n41707 59009\n3237 84310\n21537 98320\n7546 42781\n6207 53388\n59968 80703\n46682 97791\n25604 64404\n33088 37045\n85935 92523\n56880 71204\n21413 67443\n18466 71700\n15110 85761\n17284 64075\n65033 65660\n4545 82888\n9560 71043\n47840 50525\n10049 74030\n10544 32949\n15516 19418\n14375 60755\n629 23556\n42490 79596\n84202 93614\n26168 36667\n35549 64413\n39475 80622\n63916 74303\n39927 95001\n12804 74281\n186 73516\n33569 97513\n3903 65637\n14646 72844\n12568 76354\n34086 95525\n64065 98036\n68603 78036\n82072 91438\n46093 88934\n35751 80790\n28006 31319\n3314 14226\n59714 64150\n26794 66198\n19657 75076\n27702 52855\n15720 37675\n14884 25060\n30513 64461\n35315 63984\n75762 80915\n26698 56053\n48026 81982\n28488 54873\n50718 92071\n31930 49060\n22501 61783\n28352 42514\n25790 27850\n26709 28640\n60037 70825\n36317 40719\n32748 76078\n77212 85460\n52651 81244\n30752 84561\n2263 85129\n30452 52496\n10858 43196\n39415 90803\n38077 69992\n15208 15784\n18219 92215\n66856 99602\n8503 93465\n41839 71876\n40775 80448\n57852 73885\n16570 61676\n5811 56397\n57242 88137\n68968 69796\n18015 21326\n45000 47143\n91649 99430\n22013 44236\n27856 83916\n7494 76256\n16132 70753\n8663 70135\n40735 54042\n23455 38996\n62305 73522\n10121 64686\n85156 89332\n465 96849\n14812 77924\n32780 98159\n42662 81016\n47215 56953\n60663 73298\n82347 82392\n6949 33548\n40568 88541\n51389 95083\n54719 57321\n58947 68042\n18862 50813\n16187 21920\n11816 84637\n17876 31266\n30452 71991\n36562 42499\n45867 96884\n76621 85487\n31924 79079\n22021 31347\n45835 92868\n7150 89864\n62231 88322\n76531 88619\n42422 81096\n67454 80262\n27692 71163\n53991 56434\n63950 93237\n14089 99407\n34810 58429\n4666 53168\n13088 48911\n65578 96159\n5048 46433\n76410 76677\n54902 98116\n24726 98587\n68017 79488\n59242 82151\n44586 91935\n2116 97768\n1246 35235\n3128 92797\n44142 82683\n3715 87024\n16166 73033\n7497 43426\n46710 85337\n13654 58249\n64461 84581\n34006 93477\n17573 33482\n21241 38861\n58941 74552\n19313 80601\n11003 36470\n23338 34424\n2608 41287\n70670 79567\n14859 75990\n41708 81400\n38623 53645\n17570 76048\n24454 29039\n29058 58030\n5732 39101\n4882 27226\n16764 17755\n40658 67630\n2131 6062\n44299 97130\n18683 56559\n45292 92522\n54955 98796\n29915 92437\n58292 67037\n976 53275\n56481 72287\n93796 94294\n64366 89402\n44416 70904\n65804 70808\n38155 45416\n31021 56375\n36281 44042\n7354 96768\n20294 95324\n68598 86016\n93137 94486\n86198 92965\n38402 85782\n8415 84727\n17571 35135\n14822 24129\n47936 86044\n41441 74824\n28824 57277\n18611 32362\n4660 5766\n6914 96668\n50524 92780\n52999 88382\n43292 61727\n47656 56558\n46736 65980\n21549 89848\n6746 79347\n51122 94139\n81422 95862\n11242 89852\n68106 73091\n15093 41913\n31699 70889\n21426 25105\n41637 51918\n25942 58690\n50731 61604\n8853 91598\n79632 82264\n33364 35976\n8142 62446\n54059 87451\n12650 40072\n41048 99535\n47088 97334\n47238 61841\n53931 72174\n21360 23511\n36905 49207\n3399 99558\n69576 90862\n4898 39742\n38615 70679\n28941 81263\n7181 64732\n33583 40967\n1736 7656\n8245 34565\n28213 85203\n49834 50172\n8022 93359\n3731 24042\n14995 33548\n648 19277\n79256 99434\n60653 79643\n74411 91440\n21494 43182\n72778 97228\n48319 56623\n83534 88511\n22627 30283\n11464 62672\n21194 65296\n45503 94590\n31406 59200\n341 10743\n4644 47998\n44381 57468\n4608 91670\n5423 91438\n28406 36016\n34539 44778\n45610 91308\n25677 44931\n80042 89391\n38263 51253\n71743 92795\n28701 65280\n12254 77747\n32871 66637\n11687 47597\n50515 68587\n28119 47217\n18208 61941\n28018 29226\n14511 27115\n10152 49735\n25676 57185\n24318 56478\n87816 92354\n26188 49235\n8448 66126\n91034 96126\n55300 88140\n73300 93388\n2966 38022\n47070 86102\n33686 73798\n25535 63689\n13508 76764\n34313 97090\n31837 79227\n44211 44303\n27321 69064\n35438 35977\n24709 84514\n8073 51403\n22883 28382\n26785 97454\n29871 91182\n61615 82580\n23500 52146\n43279 75401\n67729 94893\n32001 88925\n33000 49558\n8126 55946\n36804 97240\n24998 87710\n65903 84915\n77001 87678\n38998 63613\n9911 62157\n19294 97639\n18707 75032\n89606 91779\n1960 91750\n3115 96429\n11236 49985\n14393 23201\n7805 28205\n44367 78290\n64889 98719\n40220 89817\n24339 94167\n94541 98063\n49704 57581\n68654 85696\n81006 93671\n33831 53517\n37756 79927\n46830 55697\n15052 17697\n82885 91589\n3440 27039\n21149 76590\n9593 56824\n59385 99467\n41981 86935\n63218 78556\n44628 87991\n27669 51165\n26047 47999\n4475 74241\n59121 84193\n6202 29104\n20681 70920\n6438 22454\n4982 11453\n59089 84318\n7294 15105\n30422 73781\n15052 68263\n36929 85802\n30395 37278\n59415 72615\n57783 88906\n9149 14134\n62764 89531\n2686 15693\n44672 55907\n15358 32553\n86094 93976\n7599 71593\n1353 19256\n33737 62457\n35151 88767\n5989 94204\n5218 47903\n2632 88994\n56616 98623\n9769 74784\n33008 70519\n428 30057\n43865 76226\n41367 96534\n32128 86116\n51782 73988\n4243 53080\n21570 66908\n70245 72183\n66244 94262\n38555 87358\n26959 43019\n25579 96662\n14225 74158\n74590 93001\n9871 91927\n17381 57919\n9587 24075\n77116 78430\n36260 66581\n31054 58959\n8018 87787\n14515 27458\n38205 99060\n267 74840\n55140 66724\n56462 94043\n3760 78501\n512 1188\n12483 94277\n29730 67799\n21544 79519\n56647 85797\n61451 90473\n37968 43677\n5555 61082\n53714 72076\n18449 39394\n81807 94610\n3101 98196\n50853 75285\n10201 38845\n45625 67545\n31987 89876\n4648 40253\n19483 76228\n91755 99002\n39874 89886\n10699 62165\n8101 81556\n7941 51437\n16414 43245\n66245 79686\n3302 70446\n42655 71001\n74131 78359\n21487 58067\n16107 47679\n24125 37843\n28793 33555\n32450 59941\n88912 91762\n2246 97896\n13953 67473\n29610 85875\n7109 40624\n28161 73913\n48286 64932\n31999 39531\n28984 47565\n24599 25628\n6253 25437\n6560 83696\n12528 71741\n21324 96594\n3741 82303\n24030 49119\n29751 53915\n69848 90258\n20867 56246\n11571 41049\n11995 25434\n35172 48361\n735 67067\n21071 69751\n83929 84539\n42907 85856\n75168 75766\n21574 66663\n24195 80958\n35452 70017\n11865 52297\n23615 59897\n11135 83026\n873 42590\n4726 62842\n41594 48554\n70497 77615\n32524 48113\n34727 57666\n38253 51468\n2442 67770\n11310 65776\n40030 96283\n7545 93784\n4756 22626\n35384 46537\n3707 12758\n35060 92218\n20508 74557\n21645 97028\n2927 33826\n12555 55311\n2747 33915\n2774 24453\n57650 60210\n8651 75671\n41713 98753\n35576 46029\n72382 97494\n22725 49289\n17752 27493\n87872 99445\n20338 29610\n16957 35060\n45767 66680\n73253 84019\n52347 72130\n12936 23004\n21387 68971\n53140 60341\n40289 65283\n26771 72215\n73819 82040\n31944 74261\n45978 63706\n30516 43009\n11417 84118\n32623 60710\n5729 54321\n22779 59687\n38321 68787\n58988 59831\n79576 99726\n61281 73967\n16075 27358\n23392 55120\n12627 55088\n80593 86798\n36515 69015\n74893 96317\n58384 64041\n26958 94858\n26324 38845\n87 60435\n16274 25597\n44661 95778\n16728 60257\n20078 75836\n70159 82747\n958 44751\n3681 54164\n26136 51549\n10592 67694\n48438 65447\n58183 98542\n40591 63307\n34237 69697\n9010 71401\n15161 92427\n61961 78245\n61216 67802\n26011 82562\n46864 90305\n42328 49104\n23184 57616\n23337 71147\n15569 72097\n40220 77676\n14718 68486\n3800 73719\n37873 97603\n7680 87686\n25194 92490\n59172 61742\n58875 93765\n64742 98464\n53287 98074\n2718 16837\n9318 93132\n60601 62279\n9601 23098\n13981 48568\n30307 85191\n31286 89244\n32113 43328\n22296 27399\n5869 41313\n20767 52620\n16563 82266\n3022 64251\n25329 35310\n63659 89886\n38974 69568\n1404 90508\n20814 97934\n16603 43706\n1796 20610\n22732 34634\n83 15878\n29196 87452\n41565 71693\n20266 83039\n39499 71273\n33202 49356\n48111 89406\n39553 52907\n18636 58803\n52306 68544\n43811 47351\n40597 72311\n38130 55028\n81725 95696\n53876 81036\n6569 61340\n64244 92127\n24352 89111\n33744 52471\n64163 95591\n67860 75763\n2985 76080\n25749 28628\n4038 84477\n48696 91394\n11084 78096\n27876 67852\n42053 84131\n74245 83629\n3496 92691\n42159 77675\n41951 68421\n49302 79706\n30079 62165\n36295 53345\n90256 91010\n4934 38010\n9390 88850\n29673 56732\n1835 71615\n7849 38694\n22744 64068\n53997 55474\n52934 62157\n41427 93423\n36385 53098\n19278 36650\n63873 89868\n75062 88150\n12354 93116\n26786 66616\n66162 97325\n29310 48590\n52747 77149\n60291 67221\n49081 92031\n8126 53674\n49682 55791\n82548 90112\n36938 64887\n247 68198\n1594 59627\n30690 47797\n75349 87181\n28577 29827\n59268 60247\n85501 96768\n79403 85053\n7821 44532\n11654 90635\n22906 26737\n2293 55437\n56266 86920\n62985 70019\n6847 31951\n34484 50223\n4350 14120\n28681 31541\n14889 15764\n34816 58399\n44854 78236\n17869 37418\n94093 99890\n70318 87607\n2890 38822\n53427 87906\n49490 82867\n32203 94146\n18245 69274\n47539 63204\n91109 91239\n10460 87074\n17160 53312\n2521 12166\n3537 30571\n83236 90663\n48366 74979\n48853 82328\n33301 77295\n42217 60431\n9436 81154\n95880 96207\n48986 66316\n38052 89752\n2464 72867\n16992 84127\n39571 82537\n9872 51448\n17172 28737\n50933 88938\n20247 32648\n40546 79657\n4843 77030\n91658 96150\n62877 76589\n35913 84645\n8824 17053\n66124 77191\n1043 88100\n15117 15719\n6191 60958\n10954 13510\n30116 41152\n13251 39994\n20955 73941\n42524 58397\n58987 98819\n38972 70894\n28831 72417\n56792 65835\n30819 96214\n12763 91277\n32112 46936\n16571 97226\n29346 71338\n10975 82213\n53362 79286\n29679 73096\n2777 37323\n40710 72626\n44412 59997\n47877 70896\n58802 69636\n15931 77086\n17654 88200\n38017 64679\n34743 56798\n58536 89498\n2485 98652\n27492 51365\n34423 92743\n19093 38962\n46908 67246\n78216 82804\n35998 86126\n17967 31262\n63744 81504\n29031 95205\n15705 76963\n734 6191\n1882 50052\n9708 44081\n1898 19523\n18633 90691\n68007 75806\n32788 43217\n4189 84652\n56548 82742\n47979 66753\n62670 64041\n86902 93851\n27343 51933\n20210 76323\n74296 99191\n54578 70031\n38663 46212\n34543 86342\n68550 91684\n32012 76068\n6386 65549\n48205 66024\n24706 25073\n2961 30140\n27414 69731\n4509 91910\n7607 26462\n11946 52851\n6560 70157\n1282 28488\n51774 70636\n45491 69072\n26909 89118\n32347 72194\n29048 42423\n73837 79707\n34643 89327\n1458 81458\n11968 43907\n30101 83076\n27659 34637\n16731 90053\n10031 42504\n401 10716\n13272 43518\n19243 30261\n28022 40040\n53859 92525\n35770 59589\n73968 91465\n44021 51844\n39159 98737\n12557 86244\n73 49050\n7318 46912\n83178 92614\n56856 88554\n14365 82790\n29160 78746\n16138 67230\n62173 80927\n45913 78713\n72794 99703\n35583 77868\n25581 86303\n23914 89362\n83939 94854\n3870 65382\n38716 67317\n24627 61888\n13026 97339\n11094 86305\n27375 72836\n40777 48177\n12460 41407\n26751 89355\n34939 55920\n55649 91002\n30994 95965\n46464 51096\n74356 83994\n52751 98445\n64142 66274\n6648 57424\n27943 69287\n20812 22183\n46558 47130\n7933 51617\n28494 63818\n68774 75548\n11660 25405\n15664 46961\n10598 88117\n8783 30669\n41729 81154\n33128 75307\n71287 96566\n37254 91408\n16437 17123\n10623 18990\n72662 81786\n327 7252\n3680 46776\n27036 92375\n78998 95592\n13604 16175\n36832 70557\n8986 11938\n27125 29040\n35534 45757\n60485 82896\n27606 29382\n47429 50711\n33804 89588\n4029 82489\n28094 92823\n92834 96504\n18820 63400\n1281 76782\n21465 84081\n28461 36077\n45613 73687\n48363 69731\n83228 95956\n15291 48492\n67633 83689\n76738 97749\n63137 72280\n6867 95350\n51507 53648\n67504 82313\n28842 48319\n6181 28555\n66648 70199\n32952 72347\n15265 60589\n11335 31152\n23001 66182\n61494 87097\n15462 67464\n624 23727\n31355 96997\n41364 57695\n73754 76105\n37230 52878\n68897 89213\n428 60342\n48489 95054\n8043 51274\n40389 69692\n8768 91257\n29062 60424\n3741 7229\n535 27471\n2889 51210\n49418 79678\n18834 84963\n3544 53887\n14568 40270\n81351 85142\n29477 74813\n8510 15288\n17196 50991\n3364 35073\n11042 75145\n41886 88420\n8047 65276\n16623 37271\n26763 92099\n27459 53024\n17026 74798\n6967 58159\n63824 83638\n47396 83654\n21499 62170\n43639 44398\n17372 24809\n87057 87196\n34811 98104\n15327 94780\n67196 87052\n32846 40346\n49155 65590\n34691 43990\n3892 68675\n53045 98759\n2151 28275\n25762 65280\n73373 82568\n17017 32790\n44374 54732\n21118 92540\n34239 85900\n13587 27898\n17444 64470\n9316 78523\n49694 76877\n24056 71301\n48252 98396\n11819 12881\n19541 61858\n783 64752\n4698 33414\n32304 63731\n51271 68533\n68842 83780\n10100 86094\n37325 48949\n34769 42086\n15379 98999\n71552 83596\n60189 63016\n37562 64331\n44553 47330\n38434 88515\n6565 56841\n10296 37150\n76903 84231\n3832 16328\n36834 41164\n40020 61543\n48651 91772\n63359 72898\n20711 27609\n48530 91119\n3181 95877\n43916 85995\n14799 80541\n30540 71379\n40177 59505\n13304 23754\n30193 93709\n29256 32442\n17861 90750\n12109 17524\n71293 76943\n7843 32194\n27496 83416\n25892 51835\n11156 87053\n23084 62345\n1759 20375\n29075 58577\n12322 61209\n16537 73169\n45225 53413\n50810 97225\n28572 98128\n73634 73708\n52178 83039\n6031 56582\n26085 96511\n10563 77990\n40864 41810\n19341 98993\n29322 70691\n9178 46987\n81073 96734\n68078 99879\n47990 74845\n13584 72869\n66840 76230\n71887 83787\n66464 68576\n2339 41972\n40855 88875\n18619 31473\n76418 94329\n59335 95014\n47226 86533\n51134 58619\n60972 95579\n32442 48526\n81359 93493\n29383 70566\n10325 80496\n48104 94201\n12601 26536\n73718 84222\n46938 61206\n12916 53351\n12162 46071\n49636 74608\n33365 71675\n94073 94623\n12798 19100\n27173 80660\n9181 21117\n39340 54776\n30336 72612\n63585 96774\n33686 56507\n79586 82288\n27273 67081\n1083 59026\n3928 35324\n22006 68575\n50311 76423\n86165 87013\n30840 58971\n23079 62370\n5601 74033\n50967 69626\n89543 95514\n24269 51187\n66416 95574\n39700 41205\n39806 45744\n41948 56702\n77920 95202\n36444 70887\n24467 96761\n15596 38152\n24897 74113\n35733 80131\n6123 41470\n26342 60627\n1581 11773\n12632 82738\n38976 52159\n95638 98621\n10211 60805\n42434 65926\n1562 81557\n39879 55544\n23462 94344\n16881 52766\n40137 71778\n2271 87120\n30288 82913\n50251 67008\n52963 79395\n14184 22391\n50547 89192\n216 9184\n25533 89620\n11339 93648\n11866 59807\n39663 62237\n12116 63189\n11233 91761\n88333 95975\n770 62569\n61459 97556\n84588 89004\n5883 89835\n54598 71769\n44912 71209\n14322 87582\n2456 82775\n1441 89928\n2578 60942\n985 78869\n3784 17023\n1734 21650\n2305 39639\n32145 61755\n54809 84018\n1005 93200\n13505 54827\n12441 44369\n61693 96831\n18836 39072\n89685 99676\n45078 67542\n33101 34549\n62830 83675\n47646 91939\n8488 90032\n70897 79770\n17733 31838\n25843 98303\n65038 99378\n10528 74549\n38347 56712\n59920 68512\n94025 99564\n34317 41256\n16907 70626\n12512 76467\n246 28754\n57578 88304\n95 51945\n33777 66962\n85233 90088\n41923 72712\n8457 53072\n7676 55490\n13492 69470\n2980 37893\n79272 92251\n38036 69795\n20371 65432\n76840 93670\n15819 40421\n59538 75819\n35750 47820\n43513 85763\n21970 95456\n4190 92441\n41663 66713\n38483 77885\n3665 57586\n41038 43504\n80593 86553\n4964 91299\n51546 67372\n65694 93426\n39806 44741\n76226 84082\n32030 99106\n31599 32017\n11590 73365\n79881 92666\n49255 74885\n79033 94154\n22331 26571\n18781 79996\n32825 99375\n41062 46821\n9560 51401\n78657 96258\n12047 42854\n24452 39054\n40961 48330\n63790 90386\n7202 17974\n41431 87955\n39333 75793\n56872 63411\n41481 75381\n7700 23031\n21656 43836\n25391 72642\n39982 66481\n23912 82941\n10845 82487\n48569 61834\n34470 55207\n28524 89532\n25265 57038\n33471 94415\n20020 78776\n45948 92853\n50747 80564\n15001 20999\n45232 88753\n42557 70413\n16606 57023\n43250 69824\n14578 39572\n58032 67050\n40050 55933\n13477 33245\n2334 24846\n84202 99690\n79587 90619\n58558 62022\n26478 66897\n11357 76003\n44227 50960\n15648 22773\n11188 52289\n70399 98699\n377 21890\n58284 60263\n49431 83037\n17625 67436\n17496 38584\n34519 43469\n3941 64664\n55767 72115\n3778 29166\n65301 98542\n34054 78421\n3614 64565\n44141 45772\n10814 19687\n5855 65386\n28050 58215\n50382 77576\n8216 17180\n3206 26130\n88331 94577\n51064 72356\n4554 16376\n65942 83150\n31851 40847\n55488 72838\n13695 27754\n71064 78173\n8738 58218\n32003 49987\n26131 47530\n48941 76763\n22187 87731\n6192 23348\n61038 87810\n11080 36683\n36298 71966\n3770 78256\n23798 28053\n1575 98403\n19278 38118\n29616 63734\n55457 71285\n33343 43555\n19655 59301\n20916 34434\n34473 74295\n7429 82785\n16289 22240\n45606 83564\n38077 88922\n6348 93260\n13523 16043\n9769 41637\n28872 75728\n10609 72682\n22489 76660\n92916 93859\n18666 93409\n10683 37332\n36331 87570\n68380 99612\n32824 82235\n41552 52496\n71389 95607\n31085 84082\n49503 70038\n49476 99191\n13631 41136\n4233 24827\n48875 58500\n30604 44995\n22919 32207\n64751 66312\n50982 81169\n37011 87749\n33990 51274\n11659 39670\n35895 58333\n76009 91344\n7705 26538\n52493 96174\n50832 85638\n494 49815\n17364 68145\n5156 5164\n13723 19675\n6935 48393\n30079 56959\n54443 83741\n61813 70170\n24565 47377\n47809 75302\n33824 87016\n43094 77497\n8071 10477\n16054 66170\n19859 76616\n2732 36971\n21167 91075\n73710 83235\n52937 82560\n29020 48772\n32513 79548\n3003 8142\n33676 34355\n24288 72624\n22894 58789\n33183 82638\n64825 78380\n5417 47088\n64248 68154\n1893 5824\n72922 78170\n64125 87391\n10879 34405\n12658 67569\n44246 87508\n70866 93020\n49614 84670\n55564 78382\n23665 92172\n26060 69629\n23604 89142\n37582 58156\n21807 30961\n46312 82819\n74093 90951\n3236 8857\n18991 26282\n65847 85848\n33103 68236\n68464 71685\n70449 77906\n25613 89713\n72627 88325\n6456 93882\n26840 81239\n31220 91191\n30561 59105\n26193 92234\n8991 61946\n27132 85928\n68961 99485\n17291 33736\n54741 91395\n19090 54418\n17751 39397\n4039 72827\n21532 25044\n57880 86335\n40735 57143\n10859 32212\n10829 82101\n24428 42313\n84347 90664\n30681 46945\n21513 85924\n4413 32630\n34812 44817\n56304 68988\n12559 56329\n46536 51292\n1516 70320\n72806 76043\n55204 61355\n10902 54466\n45449 55226\n33298 86050\n26289 89856\n73450 74203\n29590 38427\n33410 55665\n25728 65598\n7016 40658\n55219 94907\n23117 80765\n52790 75465\n50172 78236\n10873 47405\n44567 69478\n10055 80174\n29205 49356\n17538 57320\n2910 56062\n17402 71634\n16207 16989\n64809 66608\n42777 92676\n29461 54773\n45268 80515\n979 21751\n65393 99825\n33406 54579\n48699 84192\n27627 85068\n26011 82343\n20205 93235\n82864 93621\n42747 50806\n22626 90947\n39324 98481\n75879 77690\n6948 94544\n43492 66585\n65984 90581\n32215 42301\n27837 36456\n40440 48236\n14306 62066\n4082 18667\n44030 87226\n10911 58965\n50125 76469\n43336 55180\n69097 89126\n97102 98967\n69938 88222\n66907 67519\n64669 70853\n19517 75979\n9149 92833\n768 53172\n15242 37514\n20277 43245\n181 91613\n59783 91999\n7507 84126\n49693 73458\n33432 66860\n51723 56419\n9440 47441\n60878 85536\n4151 93823\n37326 71149\n50743 65322\n49482 69602\n57748 73195\n78839 84961\n88325 93898\n12237 35160\n34996 50605\n53804 82060\n44618 94691\n59531 97455\n51952 96470\n38574 45966\n47842 91102\n24362 97407\n33431 64567\n19655 79826\n13252 22383\n8318 50625\n16138 58352\n12584 54721\n49931 67980\n30635 74198\n3738 22476\n15981 65227\n30139 67440\n58537 66479\n59269 98470\n59029 85864\n53764 78660\n860 36976\n42400 84381\n43172 46746\n35561 63402\n32015 87746\n13981 62177\n16851 46550\n59740 90124\n51961 99086\n496 34801\n52032 98457\n17112 54446\n51847 64532\n42930 51878\n47665 77384\n79090 90030\n14952 63970\n78614 87785\n45849 78275\n16124 61677\n23621 89743\n2448 5865\n8472 92339\n75964 80595\n13859 34896\n41524 86079\n14681 88168\n40956 59514\n51346 68977\n22918 65301\n27878 91103\n24193 51699\n23017 37369\n21811 70472\n93839 96598\n39395 62948\n39343 42818\n30803 69334\n57252 60086\n16646 58112\n8072 75076\n19898 28916\n23177 42714\n16985 41371\n83674 90334\n29824 81581\n60970 86715\n37232 59551\n34242 99438\n87892 96262\n20517 71624\n10937 13286\n52887 64742\n14984 26158\n24670 61308\n61401 90787\n45963 73591\n25676 75191\n38457 42642\n17017 43039\n62280 85719\n29411 84947\n55549 82794\n11083 95837\n42205 88359\n13840 28193\n13402 89348\n26178 28287\n21438 42281\n45813 85951\n15226 49193\n63359 72968\n18135 74507\n22606 79414\n32187 79012\n5385 15194\n52551 53416\n84564 86521\n14463 63458\n11316 96106\n45153 82140\n86967 96694\n28890 71164\n44985 51157\n58486 96629\n28922 50835\n62852 81559\n71352 79028\n47803 94346\n36015 60567\n51417 77224\n91481 91635\n30362 35075\n29110 68798\n20554 73502\n25920 46195\n25749 31495\n471 74468\n23805 95626\n31812 61091\n40875 81774\n17745 33757\n41293 79448\n43868 65571\n5702 16843\n23860 97671\n22189 93599\n1003 63884\n4031 67927\n8126 47134\n82294 84985\n20003 32316\n13368 76249\n13998 51025\n14534 74781\n3687 76039\n225 67549\n38674 68749\n86413 95274\n21457 80110\n35014 88164\n37798 52501\n77151 77891\n1495 2180\n45885 59554\n15193 73594\n28043 44211\n656 99899\n25965 89548\n49421 88876\n33614 51447\n36171 61380\n10209 30196\n31905 82526\n26456 82717\n65597 91752\n22794 91567\n27893 66878\n4885 45221\n25215 84812\n34491 90465\n74638 87916\n48393 74283\n40719 79700\n8606 19717\n6340 27764\n21011 24121\n26572 84541\n83538 93550\n1444 52262\n16058 54585\n31521 58059\n74720 79108\n13994 22487\n37504 90658\n28861 85536\n25481 92881\n69830 89232\n8480 26321\n4285 79877\n5095 44610\n57369 81764\n34707 49353\n84635 92122\n26819 45944\n10330 33680\n39414 52328\n9476 75789\n78525 99683\n83953 86242\n64 66152\n76839 99102\n22554 93513\n57672 88993\n11964 43256\n30399 67051\n44168 98068\n15531 28418\n68605 81007\n8829 98368\n10238 75389\n51108 87733\n1040 1457\n18335 22023\n19201 42210\n33254 87387\n2015 25633\n44194 79805\n21657 58381\n64166 71546\n25283 71997\n8137 37462\n7048 53363\n185 94255\n18732 56737\n44789 93419\n2670 8194\n91609 98022\n6876 41394\n22655 84030\n2725 82948\n15058 43642\n11212 43054\n84180 90161\n14855 87221\n30567 41495\n27885 83085\n18952 51897\n67846 90280\n66249 81601\n8713 59571\n32130 76928\n14771 66652\n4340 19581\n16032 93242\n48792 48889\n49370 89905\n47427 94444\n41589 68258\n32069 55836\n2286 62883\n13677 82258\n8578 91766\n33664 51760\n2287 82245\n63050 66178\n54964 62427\n358 39080\n66775 94359\n4491 79538\n12671 72954\n86781 94503\n62629 71988\n23046 88117\n15507 73586\n18174 50193\n34730 89731\n22000 75508\n32080 69787\n11502 72829\n69828 71377\n59914 63577\n75026 99353\n852 44553\n50414 87167\n36150 59926\n83264 88097\n53562 58161\n32438 61791\n24693 50971\n21540 34769\n14031 57009\n34282 55383\n132 45310\n2891 17565\n37640 60820\n22737 62066\n71300 94725\n15207 31862\n21382 45769\n61925 81450\n15482 68245\n63870 99774\n37405 80606\n42662 53557\n43701 73342\n1675 53215\n39353 89243\n2948 89038\n19950 48279\n57115 73275\n73785 99123\n34265 88235\n84093 95490\n64350 71527\n46950 93105\n57551 90756\n2967 35257\n9374 44719\n27669 37025\n2724 39847\n81049 92183\n44040 93091\n26872 84308\n7988 71490\n80113 85634\n76399 85769\n22294 37186\n17188 80608\n19957 74063\n76396 85881\n10311 56940\n86111 95154\n81084 89447\n1596 11019\n42203 88647\n10062 45619\n20584 33460\n23475 96591\n39137 90169\n30974 49043\n54494 58272\n20602 99975\n7531 12086\n11852 46794\n7365 34055\n5978 56922\n11345 14303\n23426 32946\n4739 24533\n1119 75972\n3319 88266\n23797 96477\n11245 63465\n29181 64768\n69404 83233\n35796 78267\n63684 84044\n33146 92181\n52709 89889\n12187 63766\n37563 38747\n49521 90384\n13821 70111\n8071 86504\n83409 84375\n52119 94296\n77369 89856\n29555 45707\n61776 62431\n91673 99517\n23891 31526\n61853 88552\n32568 43138\n22530 68750\n30846 82496\n7092 99030\n46923 72605\n27916 85186\n3084 69437\n85552 90698\n34262 53029\n34554 46859\n16899 40408\n27038 41964\n9828 91160\n55457 78600\n43299 91865\n1856 61800\n59933 71390\n54577 60046\n64112 87826\n44947 60292\n25909 51082\n74775 83303\n40937 80547\n17058 23570\n64936 86298\n41889 42508\n33087 85845\n1903 26025\n17021 58697\n83031 90302\n87331 92013\n45382 73495\n20404 71027\n67176 91000\n4500 95185\n19935 68869\n36525 68194\n36376 70176\n67744 84561\n44257 61699\n11924 39096\n41330 70365\n18981 36988\n4651 67775\n6396 48459\n33290 87903\n81697 86691\n25708 70963\n37953 99749\n18477 85174\n53595 79706\n81046 99076\n57619 90389\n21952 45261\n15852 43152\n1777 3690\n31967 81414\n76289 78296\n49288 52087\n5651 82863\n82633 89144\n77823 85846\n4822 38859\n37031 94695\n35735 87341\n19389 29314\n20847 52761\n23657 37419\n315 94383\n50640 74558\n43763 45035\n54481 79499\n59898 66433\n64536 90992\n14124 21599\n22082 71286\n86608 90701\n63131 97147\n12344 44304\n84028 87040\n64038 66859\n16741 81345\n50734 61128\n19662 68960\n14116 81410\n57959 78714\n56562 86839\n1932 12841\n16097 85612\n2037 47355\n6684 78812\n63905 67442\n21317 84117\n39577 52493\n13340 94443\n3565 43386\n2899 72194\n37231 73527\n7394 61818\n81785 96632\n11536 59138\n17381 58540\n11322 42751\n95270 96442\n59704 89378\n63508 97580\n28718 98493\n32200 38319\n80843 90803\n9211 20970\n13256 33289\n23652 61840\n9982 29652\n62209 96533\n33084 50693\n58018 82178\n6627 92762\n19868 29082\n30517 96739\n12079 45330\n25062 40040\n69524 77366\n64484 76258\n21717 29575\n1938 2183\n36241 39173\n607 85151\n4041 46846\n47022 94736\n82470 90413\n37533 48900\n30342 38811\n48231 94789\n47944 48546\n54538 62855\n28083 74383\n50073 53830\n2996 84198\n47577 61955\n18835 41517\n24370 84295\n90334 98710\n36632 91280\n54229 99042\n4194 52084\n4057 27108\n39659 95015\n1957 3171\n12233 31126\n54871 95644\n4878 51524\n24477 35897\n4416 10292\n89777 98870\n55878 95445\n68711 88038\n49889 93990\n33176 76329\n33832 36295\n54510 98758\n63316 79011\n9555 35136\n33460 99602\n31061 60515\n77232 91598\n89988 92601\n21351 92983\n57961 74933\n24648 89409\n53213 81833\n16147 32103\n22054 31719\n60234 63677\n74496 86471\n13494 39266\n25988 72702\n65023 94576\n12393 57752\n41847 72228\n13256 82156\n27848 32584\n52489 84466\n47002 79745\n9861 59474\n29244 82234\n36357 93059\n2854 28987\n9876 33817\n65769 73936\n6732 32185\n11804 56702\n54445 97840\n23171 83150\n39010 97150\n8388 88152\n5974 21411\n68462 81774\n53464 70333\n27994 52739\n77904 92600\n35320 52947\n16038 51430\n66349 92238\n8147 41913\n6939 55147\n8730 25067\n16591 98112\n24955 58509\n20376 37556\n7688 42799\n18070 39971\n47937 57635\n59196 77157\n6434 77405\n34518 72377\n52843 84890\n32948 78605\n38802 76133\n18498 71610\n6187 33849\n37816 42704\n36596 52833\n57657 87126\n8081 30152\n9306 22123\n18050 70566\n20092 32289\n64420 82747\n34979 85412\n80473 90561\n24912 28374\n18030 28672\n7061 49733\n38789 79151\n49508 50774\n52218 98206\n16834 56120\n3232 37457\n14950 34434\n29512 85192\n26405 43416\n15209 56353\n7504 59364\n57862 71103\n41609 88246\n74387 85746\n9969 11150\n65077 78636\n31641 79845\n87424 97485\n44613 95944\n25929 44804\n26620 67937\n28292 46727\n29176 48521\n61506 82161\n60469 98944\n11708 89722\n23264 91739\n18791 70767\n55667 69052\n59184 75344\n29467 56434\n24489 45019\n9929 99460\n21013 69073\n11643 99960\n48147 86049\n43291 79069\n10180 93048\n38835 83787\n45692 75741\n32013 85941\n21127 69070\n54068 99298\n20722 30347\n4713 76973\n42659 57801\n16404 90865\n41756 53211\n25637 85250\n13237 96956\n55816 76402\n77004 98227\n92265 96223\n22212 61865\n50091 57679\n57539 62073\n37259 83921\n18124 47950\n9441 56207\n36606 44951\n15874 68973\n15149 16875\n25614 97297\n5854 64844\n23836 98820\n13384 27051\n18459 19432\n16143 41434\n39553 98222\n13082 95775\n38771 86372\n26832 67509\n12027 85422\n22231 66516\n14960 59052\n13413 90166\n44730 81658\n69490 91861\n27763 38717\n36733 95712\n39208 44992\n76 30561\n40894 41397\n65024 67145\n19918 42560\n16154 18171\n32919 76503\n60876 92332\n5964 75974\n50350 94936\n3794 65886\n58083 90269\n48600 78622\n65611 99028\n13813 73975\n34540 54270\n80127 83314\n11879 81099\n12938 71419\n1811 80198\n16989 51180\n35482 50070\n27421 92538\n36904 80702\n53838 55745\n34720 64483\n62567 67121\n20025 96933\n3130 42550\n41928 50697\n86827 99359\n43557 52480\n25848 31498\n8416 32180\n17471 77584\n26290 84100\n23300 44985\n21666 44627\n34670 95583\n67573 93566\n33126 85731\n28744 56123\n42770 91312\n74635 82146\n8435 74160\n42985 62056\n39146 80457\n7192 43302\n24577 38347\n82222 83082\n35114 70255\n37419 66599\n15325 61583\n11510 52692\n5590 53492\n9618 79548\n63360 90695\n6075 60672\n26834 74126\n20065 92773\n26852 45176\n4630 97345\n8894 28458\n20802 36231\n60347 87995\n51584 54371\n13448 40619\n91017 99672\n571 58157\n6952 8159\n18287 67879\n59664 64212\n91673 97315\n6401 52777\n13735 87708\n1954 85418\n54285 75896\n11052 69916\n50608 52944\n32830 33574\n91003 95567\n62864 64884\n41648 65991\n92547 94497\n47157 87482\n53717 82074\n35606 92906\n19224 93188\n26149 43431\n7221 84688\n6358 94307\n21062 81662\n19119 34165\n16864 25547\n21091 60691\n34242 71178\n14130 45703\n10544 13492\n67669 81351\n24523 90569\n26310 67785\n61252 64215\n6970 44402\n27044 28284\n70700 74567\n45263 49087\n12944 98596\n66960 82144\n24734 90851\n21632 95757\n15810 84409\n33002 58231\n2218 55622\n3852 52304\n14501 50452\n88920 93615\n71715 74466\n35088 37575\n37019 72132\n66126 95240\n9627 55748\n36790 87705\n11264 39419\n24104 63492\n14633 19261\n59178 98953\n19653 60761\n38809 87413\n59227 96854\n8200 53450\n28808 87216\n35367 70933\n453 15791\n2045 89013\n28702 56067\n16772 23210\n35944 41163\n3916 25589\n67524 93943\n45781 99953\n53263 65580\n27907 63465\n4013 88200\n20357 63135\n27620 39600\n52500 80200\n14258 98415\n41394 47952\n86044 95969\n29952 31085\n18476 69981\n64234 86862\n14460 47380\n1643 46215\n5331 83823\n24121 95064\n75313 79898\n9378 70311\n86900 95072\n34174 47175\n18280 65408\n24554 55214\n30735 58075\n64853 77187\n21375 80102\n38237 92732\n59541 69449\n68439 82894\n9027 87657\n25010 77355\n37972 70716\n15536 30690\n2984 3642\n53327 56722\n14993 59721\n16783 80582\n76829 94263\n710 87221\n21645 68754\n30781 36433\n369 31193\n17887 29079\n26438 82506\n45903 76019\n5117 28102\n21635 41637\n26640 41757\n35830 82033\n11757 43379\n4626 81381\n56235 90549\n11172 29653\n3673 13266\n85932 88583\n55642 83358\n55252 96697\n49304 87207\n20464 96266\n134 18602\n18847 91221\n12203 65934\n35397 63496\n10244 39958\n31392 41434\n26379 27251\n56865 98431\n31601 89285\n25016 79843\n28133 48477\n16213 45645\n13815 17752\n54909 70917\n12813 73716\n14910 60012\n35262 83142\n53772 77604\n4311 19074\n53978 76256\n63701 73097\n33640 80409\n65602 89503\n297 18269\n34340 37967\n56340 64343\n19769 24181\n38170 95743\n15416 79486\n13310 62295\n60591 92090\n26690 59755\n22448 48648\n34376 80349\n25533 86998\n6194 93063\n21717 74619\n75031 95414\n48878 68202\n7589 35639\n31420 56112\n1120 5804\n10258 20829\n44398 95264\n40543 71624\n49415 92304\n1197 11075\n15439 91602\n35288 96725\n30046 54129\n2367 49589\n46669 81400\n52383 62633\n30792 49189\n11037 97402\n37693 88940\n24727 84390\n11679 73398\n11945 75918\n17462 40898\n23574 31464\n17258 44217\n62751 91494\n45184 94184\n48386 95853\n83142 93179\n24962 26002\n4957 49523\n49062 52026\n18899 35628\n2797 41571\n38287 96972\n55237 60623\n39321 96387\n13749 68220\n19883 78796\n16696 44348\n14170 14831\n15336 66747\n45549 56092\n34505 58565\n74719 98033\n43518 56589\n54849 59391\n2367 72239\n60537 65442\n4540 20520\n749 70485\n6599 74045\n4401 29158\n18354 45514\n79767 95350\n78006 96758\n64318 79327\n75544 85712\n91393 98677\n42583 61564\n94026 96955\n25769 70194\n90809 92875\n18017 46016\n17907 41919\n25552 70895\n27292 95737\n46839 91452\n45465 52909\n61595 82387\n2731 62603\n3276 56030\n33188 98433\n46869 85308\n12112 84793\n23230 50886\n69695 98941\n64647 81335\n2312 22603\n40039 46069\n45480 96771\n72838 79699\n68437 83705\n36386 44237\n89064 97038\n34124 72573\n9831 11643\n18710 59355\n35608 45731\n27273 43432\n7430 68687\n6786 34263\n23265 43257\n10721 60579\n3816 49073\n41127 47595\n28026 89588\n50829 58171\n86280 97343\n11518 81403\n21153 95365\n45029 87710\n22332 38258\n72751 78482\n23994 38703\n74490 97834\n52330 79868\n74860 80314\n69185 87942\n18095 44285\n58962 83523\n19061 99345\n18618 46605\n29470 34460\n29262 46939\n1074 74322\n30223 33831\n32588 32697\n52825 82349\n20936 28152\n48146 87305\n5782 29419\n47311 75849\n4439 21193\n65925 84079\n65731 94509\n46842 59888\n45515 93068\n66374 94415\n81183 82875\n2289 70726\n41791 60592\n54375 73249\n5461 57203\n14492 64135\n776 22970\n26832 59045\n38829 80022\n16827 85469\n51541 99532\n57115 69335\n21774 65967\n29042 80641\n38009 42425\n47548 78114\n7119 32861\n27642 48755\n58592 82835\n59545 62568\n37332 85203\n46349 81059\n42620 92278\n26124 84397\n31134 64404\n19716 82444\n57603 84657\n5666 22695\n42964 62046\n30693 99084\n368 13130\n94822 96944\n3007 25987\n47320 48117\n823 19632\n32070 32119\n4240 44781\n64032 93821\n40016 98996\n34503 49927\n44003 50944\n11512 21094\n26510 55902\n15959 37040\n76939 87070\n56509 92298\n54173 84192\n89084 98512\n12038 12250\n6993 39592\n10391 86717\n34309 89429\n11274 22226\n3186 18499\n32045 78069\n5260 36083\n59424 89974\n52190 52487\n21207 47885\n15665 98823\n47459 84251\n21696 62264\n8406 98302\n24088 44683\n13224 55242\n21665 96873\n7539 70070\n84231 84949\n35052 52022\n4852 55505\n45402 67413\n301 17766\n50531 80814\n33705 73285\n62581 82047\n13814 95366\n59298 85957\n9459 98015\n30121 78695\n17845 94945\n67533 72651\n8652 66507\n15899 73550\n68807 87840\n64365 75946\n236 42155\n1270 37957\n56416 73112\n4282 30538\n35802 99702\n22027 41258\n34526 57799\n3411 31646\n28324 64462\n137 81968\n68744 78404\n50446 51913\n25790 46563\n51937 53870\n52514 89016\n19483 68000\n24264 66779\n26952 66945\n2936 5506\n54494 95736\n45663 66108\n47034 67698\n69967 80116\n29523 84199\n12417 78188\n10795 73542\n37489 48838\n36116 94929\n12486 83023\n70488 82109\n4358 64338\n21051 59939\n1859 19413\n44077 53648\n40239 74131\n51190 56728\n50186 82380\n42639 50530\n64702 67572\n21339 97881\n15970 72833\n50176 98623\n10017 76545\n45616 60233\n27494 70396\n3316 28137\n76716 90068\n31260 70890\n90380 98019\n29823 45902\n39946 43996\n5090 31673\n54511 89739\n17680 41798\n29607 82743\n25703 86832\n24964 69597\n32627 40634\n37306 45398\n18069 22864\n5633 11059\n39187 91329\n17834 38159\n31055 47010\n15491 30620\n37379 66354\n21780 70954\n27584 71170\n32683 88094\n86922 88105\n56340 71876\n45394 95342\n29987 52105\n57016 68100\n20295 38603\n40504 89775\n30954 93601\n4203 39372\n15578 16854\n81913 85931\n41782 61458\n91375 97333\n65160 77175\n7897 64064\n56174 91922\n64001 83279\n45898 75342\n23942 58339\n62939 87311\n32439 35384\n6901 56725\n30635 76868\n37546 60734\n64176 91244\n9176 29334\n24186 68457\n15013 26397\n68279 85646\n15254 73774\n15788 73272\n36664 96245\n15158 62844\n77309 80490\n6486 83888\n1185 90521\n28165 94425\n12972 51853\n14784 15275\n50596 53024\n19454 39856\n12637 27752\n39156 75070\n31499 62483\n21316 35976\n38654 66351\n176 11832\n5324 20616\n7728 23268\n42970 74589\n7179 70126\n22125 47623\n7465 29082\n38407 58858\n7836 68098\n26047 97293\n47829 50713\n42966 51213\n43882 59829\n18224 24131\n34426 88358\n2112 79072\n74791 89945\n45460 47490\n59761 81511\n9914 52652\n12977 46898\n33828 47192\n2671 16924\n56819 60899\n9860 19817\n69990 75172\n46130 84034\n59694 86294\n16758 80251\n30706 83277\n29767 57673\n21439 64949\n1577 76425\n30163 60139\n35347 39137\n4199 34849\n76973 98673\n33896 75810\n36444 95470\n22653 43795\n29086 75441\n72266 89177\n73611 93592\n77013 99139\n46538 99679\n62715 91330\n8535 82083\n69319 80595\n72550 86485\n77058 87054\n38012 54729\n48888 66877\n2067 81412\n39394 94116\n75194 91631\n12647 97805\n3064 81739\n43420 77343\n24638 60099\n68769 77177\n52058 72470\n72245 98310\n11556 28256\n4233 96305\n20804 96341\n59575 82586\n12641 74499\n16042 55067\n46175 53246\n56129 57074\n2495 46682\n33221 94954\n52982 60624\n25707 74831\n37672 79220\n366 80090\n64299 66427\n67108 70332\n31253 37972\n74162 98740\n14978 43533\n5920 50142\n63086 74248\n1069 43888\n49727 83356\n44677 74464\n23582 90162\n17203 94337\n68676 95901\n28454 52737\n52883 97590\n51048 87299\n20864 26374\n65388 66522\n36094 41925\n8359 81284\n20056 88796\n43409 77873\n5134 75074\n5003 48227\n36778 76166\n27633 32694\n78541 94864\n3187 94106\n52116 71422\n64332 66444\n31417 37404\n30339 54902\n9055 88053\n65238 75270\n50842 92523\n42935 66032\n32505 40037\n13816 75921\n33628 75489\n46534 84435\n12489 65192\n38571 67562\n77092 84135\n60383 85732\n55729 98041\n61136 94765\n57750 63291\n14115 31217\n940 62733\n1935 62239\n84787 86460\n19452 24089\n55594 69087\n21623 44301\n39912 62042\n55482 67364\n13185 67040\n62117 94284\n81326 91541\n26026 86795\n22201 95523\n87990 97680\n62647 70806\n15486 50370\n7470 10938\n14024 32304\n9304 44806\n55535 56500\n2837 30601\n1911 57383\n85986 92199\n9417 95295\n79635 95093\n69608 82984\n53032 84274\n29799 97403\n40444 40581\n44805 96863\n22952 87188\n1253 41940\n50658 82094\n10941 82902\n73151 92881\n26761 67639\n92048 93660\n85610 87935\n26546 68608\n4050 46943\n7002 16633\n67750 99471\n21281 45437\n46041 89525\n19 21009\n55139 58521\n52206 64075\n79528 80278\n35391 99041\n23061 85337\n45104 59585\n26111 67452\n56199 61377\n69029 95111\n59592 83866\n51901 94621\n10093 13812\n20731 86094\n11815 88253\n76901 83548\n28359 93397\n31497 45008\n53865 86804\n69678 78957\n45471 56819\n25406 54053\n25129 51027\n12109 35542\n26190 50840\n30737 44858\n35548 59762\n79603 81175\n64576 77963\n5484 78725\n60650 95187\n4699 18477\n19364 36607\n11717 75798\n10535 21986\n58786 78971\n50768 83438\n21537 61825\n23232 53326\n10894 81806\n18825 44081\n32816 73558\n30681 73606\n34196 43350\n49410 81001\n9949 49022\n17806 29502\n78744 91498\n32912 89654\n2692 6197\n18558 35104\n62647 77486\n12576 83117\n6154 99744\n20842 57040\n16935 33787\n46552 48406\n5984 90642\n39645 57734\n43931 70905\n70453 95129\n23358 89434\n13931 51648\n28870 66381\n10984 70371\n54884 95901\n28504 62096\n21921 33061\n82206 93040\n14801 55323\n10871 77964\n8601 11934\n8744 87618\n38997 67357\n48775 53249\n35591 92716\n42605 57530\n26372 52963\n8360 26611\n27216 84135\n38335 75411\n10491 46437\n15145 68926\n46247 60318\n38086 48815\n82458 95309\n10449 78846\n24132 58927\n78 96989\n42037 95846\n8408 23018\n6416 80373\n53248 61365\n18072 40559\n19227 71151\n27397 87024\n13934 86507\n61212 90063\n12028 42950\n18916 45337\n44813 50050\n86828 98387\n9753 27365\n76666 97469\n62697 77060\n8231 53752\n14875 24867\n21953 75674\n71294 98036\n62730 88656\n31735 98826\n51373 93675\n34354 84810\n8404 57197\n48158 97941\n59743 81736\n46510 86234\n18686 50178\n64870 85541\n2305 86610\n51625 57169\n2360 12592\n16680 78530\n5343 74380\n80579 96763\n36756 46182\n4402 28637\n17330 73859\n2464 19751\n20602 62797\n66171 66489\n47244 65260\n57769 93544\n69778 93598\n45575 52922\n58847 65339\n26434 40373\n16728 80683\n42157 74187\n54511 58517\n31978 59766\n13216 26612\n13583 68613\n5794 23300\n2526 14365\n28052 90840\n9230 98164\n45839 57721\n9655 91875\n28618 29788\n6745 41019\n59000 94392\n55441 87917\n55838 60152\n21272 96931\n41764 95020\n22549 79257\n42212 78701\n64603 72961\n4785 6271\n61324 78059\n20509 39987\n36568 62820\n75270 89942\n72969 86946\n1681 76697\n55233 83144\n51450 75091\n41105 73269\n65476 79413\n8503 45663\n81556 87602\n39015 89103\n79855 80875\n70230 72778\n10496 61650\n40850 51025\n21887 45555\n40320 92890\n62052 63801\n20938 70274\n43812 65835\n9456 62524\n74438 75351\n16843 94076\n13929 48734\n20405 94456\n16506 30232\n20869 30489\n48240 62787\n46264 70468\n52405 73881\n53268 54845\n5656 50491\n87358 90165\n24533 27399\n47505 68359\n73311 89240\n23457 32658\n35928 45131\n13824 16496\n15554 96941\n57584 80175\n6770 65937\n11653 57056\n13881 75511\n1393 74358\n82131 94711\n11325 20405\n35853 45879\n2575 32296\n44585 97290\n6157 61072\n20606 84428\n41069 94653\n81596 98380\n53288 62050\n15171 87183\n31920 63215\n72566 79847\n53081 93937\n182 53074\n11270 87741\n2732 67032\n4053 67172\n13683 15103\n50328 87149\n19658 20735\n51539 53311\n31268 63716\n81301 97723\n19981 69366\n36765 96238\n14272 42074\n11670 73817\n81016 91184\n1012 98308\n1264 94567\n11378 33764\n17580 56776\n31691 91322\n21353 82755\n37115 63747\n4808 81833\n51047 86966\n38393 87472\n27371 49096\n4489 88585\n80419 96613\n45507 70592\n25193 45972\n5219 16295\n7547 47846\n45358 73360\n12910 34508\n66790 95523\n39437 78804\n7882 36880\n25566 35619\n26009 57621\n48074 64483\n1514 63167\n49895 55417\n24742 85395\n44170 56898\n53585 95551\n69551 95772\n38808 86772\n20166 25446\n70835 90693\n13677 33378\n34655 48649\n3375 51215\n74989 92106\n37088 85022\n14776 90240\n23688 74556\n13196 67184\n94998 99093\n7212 72891\n52330 89487\n4713 66694\n25035 97627\n27072 58014\n3275 98126\n4089 6074\n9654 58517\n69157 89796\n18735 78304\n49474 63296\n98165 98993\n39842 90315\n32260 39439\n13497 71471\n27171 61170\n8488 10761\n72623 97611\n39377 72705\n480 77748\n19133 21880\n27588 33084\n72213 84685\n59756 87061\n22123 53838\n17687 38213\n10379 91938\n19999 60812\n31499 76333\n22696 58809\n61428 73009\n69573 74058\n6412 56507\n73398 88604\n23280 63271\n84861 88339\n78224 90864\n33611 60246\n93556 96275\n11546 67951\n67670 94209\n87754 97788\n49654 59026\n29422 61186\n79321 79622\n13238 23567\n66494 89356\n1915 75015\n42325 69725\n39893 53581\n22248 90925\n23292 59968\n36525 60285\n5015 80418\n20643 39639\n8370 68516\n61425 79818\n24122 37213\n17332 40275\n72874 79053\n21873 37293\n58917 61545\n24274 97058\n29195 86044\n68313 70096\n21796 94423\n50735 52058\n47731 52150\n36149 46816\n1630 94900\n19401 41732\n30449 93596\n1608 46207\n69918 74792\n13425 36435\n5991 36377\n15198 27232\n16290 39953\n64883 99745\n26712 69966\n21095 76241\n21759 26838\n42702 64174\n33873 39139\n13011 48444\n19378 62752\n1474 62934\n79701 84025\n50011 97143\n84713 84979\n61188 77627\n11535 66858\n73341 92827\n14486 84751\n2291 76833\n16958 79467\n34755 80591\n5888 35213\n69557 73480\n56729 61147\n41608 86838\n20878 56426\n6311 86940\n70473 89166\n70013 91665\n37278 39683\n58571 97085\n10355 76991\n5871 45425\n42866 85350\n53403 59138\n39772 80826\n15352 75533\n530 13927\n16937 65544\n21968 43674\n22501 95990\n30729 60798\n70212 91353\n35547 44797\n7536 90514\n17194 34931\n19547 68550\n7421 24389\n28512 62193\n36851 65187\n60064 67553\n27758 53051\n21724 88455\n5518 69253\n1976 9275\n47983 80738\n1510 11048\n31950 62134\n89443 91791\n52783 88597\n53412 97235\n38626 78471\n51684 77235\n23463 23904\n92128 98791\n28457 68864\n2756 34145\n9647 29586\n48710 72666\n49904 72860\n87880 98182\n83384 91359\n20721 97162\n1989 83424\n69540 83462\n17219 85906\n24290 70976\n8960 53089\n36286 71300\n74166 88324\n79572 88733\n2025 6384\n3659 20274\n18580 90759\n2139 74193\n32884 48328\n25352 88422\n13952 17344\n65191 65746\n3791 72908\n14703 81281\n60298 63357\n12519 86029\n42662 80662\n12595 85574\n760 25460\n43682 84987\n9613 58140\n39856 80700\n13850 42942\n13961 17524\n37350 59680\n61831 63563\n60348 98170\n14962 46682\n83929 92050\n25731 91213\n25977 30240\n9449 63366\n43781 89227\n7917 15173\n32969 36624\n41886 93303\n38047 73302\n16744 68830\n37945 65831\n12833 72234\n7723 91586\n73976 97645\n1003 96933\n42513 69939\n27633 55813\n28206 55351\n25886 66410\n46523 64793\n13472 53565\n8927 54213\n53175 78061\n33316 49088\n2969 69162\n24789 76343\n28696 60016\n25498 68299\n18429 55207\n8759 86885\n53691 98045\n38999 52716\n47688 93952\n6471 32064\n13457 70243\n8742 47764\n17374 88000\n8861 29102\n63752 80685\n56976 68728\n23897 99277\n34350 38848\n60778 73943\n5921 55426\n30142 34609\n17103 75926\n18884 91760\n49191 79558\n41598 66201\n59060 65648\n19988 63907\n14894 92731\n70938 97252\n7324 86313\n19823 29167\n19354 65195\n18065 77717\n1204 59564\n44366 89531\n9650 88125\n57400 73945\n62778 81641\n3115 23338\n21316 54514\n18770 94265\n19859 44897\n9210 79004\n6649 81270\n35478 35734\n29432 31051\n957 37660\n45334 54417\n21507 77249\n41013 80111\n13516 70976\n28671 49025\n26916 99403\n12562 98459\n36996 69595\n30024 68368\n10144 67984\n59121 68514\n67179 97116\n67408 86877\n53776 65792\n13839 56161\n76857 81118\n42093 91802\n19676 73151\n66007 84391\n8298 37258\n59087 71871\n26520 36614\n49334 99005\n60977 64236\n71036 77050\n16729 19166\n27798 28701\n54025 71673\n46157 95011\n45980 75189\n52526 99918\n7457 92993\n46115 89816\n11850 69949\n47608 81777\n50020 63350\n89482 93354\n58035 95186\n5877 72758\n25332 64998\n54987 91159\n75160 94108\n7532 71059\n65195 68666\n1945 76312\n53741 59097\n67593 96171\n56899 74146\n41995 54220\n14408 89310\n10276 34152\n52866 78186\n28753 84919\n57131 63567\n4020 33385\n50943 73818\n36002 46179\n5888 44933\n26468 57140\n11010 45291\n13780 98619\n34921 76284\n50180 53425\n26891 63764\n12990 95789\n75621 92832\n65506 99280\n28411 78222\n92032 94219\n5102 26182\n14344 56818\n39712 42488\n24452 29566\n42703 53397\n65567 98506\n12095 79936\n600 87287\n37573 85321\n7407 13566\n66547 79592\n30505 74779\n3277 23767\n26331 52292\n60943 77556\n19280 74129\n79948 96339\n13941 56414\n1441 50005\n18182 23058\n44342 96448\n16254 28636\n26239 85911\n33300 34148\n12317 34170\n23771 96939\n20632 32338\n834 53085\n30248 50328\n5244 55687\n9661 9891\n33016 91364\n815 58308\n46529 68886\n81679 97185\n44721 48208\n24571 37031\n2281 60219\n36378 49904\n9085 63976\n5857 98788\n956 78764\n42005 56871\n47221 93917\n13322 96759\n12096 42833\n59268 88416\n31795 98844\n16635 88167\n46871 91740\n57334 99890\n59531 87962\n9603 77648\n46268 73297\n31237 38536\n12656 95221\n2546 23706\n48756 81210\n68208 87223\n64684 99183\n47663 82051\n68154 83604\n193 79822\n76634 76677\n15774 31944\n29911 52536\n6004 73723\n6274 97367\n15003 99692\n76276 77035\n19527 81137\n54173 96343\n54002 61762\n42586 50207\n25991 77204\n42719 43280\n23853 75192\n11069 42972\n58464 90329\n4875 28930\n25418 63016\n14081 71960\n26560 70674\n59340 82694\n38000 68192\n55096 83024\n76339 98017\n27635 55451\n20559 80974\n21425 78735\n12421 14613\n11483 51334\n10428 72108\n135 73716\n2046 71586\n76242 83709\n9501 45726\n1313 84556\n53728 82475\n32713 75669\n13616 13945\n73567 82395\n38668 73125\n54582 95777\n31482 53541\n45286 90999\n16782 33157\n65485 69258\n12174 49993\n52254 71174\n57212 71392\n7470 39572\n18727 55882\n2548 26884\n17269 57333\n25430 36557\n38651 92720\n4241 80247\n13169 32338\n58513 93775\n90396 91462\n22706 47513\n59868 90405\n64376 76248\n7873 97342\n25018 26950\n11212 43085\n22830 83671\n67937 95080\n34724 70484\n38125 48196\n16395 67387\n14150 35476\n28756 78532\n53819 53821\n6073 78693\n8429 14053\n39729 59322\n48966 72849\n51136 92985\n7664 12969\n10097 94461\n21666 66527\n8618 46555\n23069 40227\n46745 67815\n38864 50310\n32414 61276\n78669 81232\n179 50181\n41180 97929\n9882 96193\n3331 3707\n10685 82030\n14060 57183\n39536 40733\n26942 90719\n79917 82731\n84023 89518\n10417 93135\n14998 66283\n89341 99787\n60133 85590\n47414 95070\n74387 95258\n10598 19492\n21920 90810\n8005 37996\n8854 72020\n42241 71280\n38813 65865\n9438 19649\n553 29631\n2944 36152\n24666 50075\n22514 24965\n45318 76984\n18744 44747\n38973 51620\n27538 33441\n53197 67930\n34817 53930\n38717 47532\n31336 50319\n10376 98632\n65904 85597\n15736 28571\n53287 95206\n11506 38915\n43553 65579\n1826 62323\n6249 69746\n29087 53239\n64529 72286\n64819 93637\n2230 50773\n38789 53486\n83155 94707\n21072 53295\n26285 34817\n36081 56014\n32881 81630\n64360 86618\n805 40838\n25673 81801\n27573 94620\n39718 48923\n27093 85727\n44435 49768\n69943 80440\n82312 90793\n18117 73199\n3660 57493\n19247 80374\n34652 78256\n69813 84450\n58212 82290\n4005 8942\n49695 99128\n34222 59663\n72516 89556\n18185 77237\n15389 43477\n11237 12252\n43343 90895\n52117 98949\n75707 93078\n14959 35906\n37650 98118\n66422 82397\n3949 57884\n10481 62744\n12893 43657\n27824 34727\n62297 97031\n6972 83928\n86931 88588\n38540 89507\n26379 34251\n41073 50594\n17120 46256\n30675 38219\n23721 69842\n29893 36658\n29028 72779\n57220 72017\n67361 85889\n11711 55281\n29150 56292\n58903 63522\n26368 50118\n3324 4629\n30231 56364\n69159 91299\n2081 47066\n1951 16708\n5534 19787\n36426 91767\n26994 43672\n47022 69850\n15072 23581\n18594 78782\n2108 55082\n20162 96966\n91907 96263\n18646 22185\n24318 98222\n88201 95371\n37586 81084\n8419 84482\n51578 55946\n80639 92318\n18030 69214\n62137 83100\n21067 36684\n38428 58555\n20770 82883\n72614 85085\n8558 29599\n6870 83596\n6945 37862\n28293 68126\n80618 89099\n44620 85983\n21346 39744\n57578 71583\n9490 99186\n61085 74956\n35359 57242\n8214 61869\n81241 97667\n48435 50300\n48418 89499\n16127 62367\n7 53686\n36981 62839\n47150 69447\n25350 33029\n21570 81664\n31591 46444\n5527 68330\n43125 99221\n62897 88894\n57542 75605\n68697 88991\n60861 86948\n52290 74207\n43077 66360\n26373 89475\n12446 37627\n67728 75206\n28800 85040\n30683 36729\n6990 54032\n2180 35719\n16674 87641\n11621 58060\n20464 72209\n13436 22984\n52315 93530\n5333 83486\n18656 97966\n14551 56252\n20520 91308\n50557 82059\n51965 87425\n21898 85851\n39699 72186\n11415 14732\n71700 82025\n71730 95418\n2233 72017\n1475 31782\n83153 87245\n8061 89739\n67692 89873\n2342 34008\n33874 53680\n50415 88860\n36950 97991\n53437 60752\n4038 71613\n59205 96442\n53719 65407\n38700 73549\n72200 96578\n19425 85127\n32675 36507\n68897 89543\n15563 89371\n22585 71532\n10980 58170\n22399 71797\n7950 44602\n24517 39256\n2885 6051\n30578 55684\n63214 64904\n79776 79909\n64620 96417\n49746 84383\n15488 90660\n4618 45804\n2784 73274\n34629 59334\n8687 35657\n27514 31416\n12044 51204\n86589 90244\n60132 62414\n3652 82077\n33035 98656\n5889 70364\n4350 24072\n74654 94189\n33352 37847\n10250 17682\n28235 82515\n29321 87586\n3872 63566\n89564 99059\n19636 60552\n28683 52664\n38559 74020\n15883 73570\n33599 79222\n39619 43271\n32991 76315\n14578 56060\n20459 41587\n47462 58235\n23259 79757\n7728 10096\n38973 73040\n5046 87323\n17208 31590\n44258 85478\n8102 78762\n46924 91384\n69174 69792\n11682 90291\n47736 64807\n20232 26666\n58388 62872\n31175 37256\n20493 96233\n36122 85860\n832 74824\n6256 49603\n77306 98440\n56633 90702\n7442 79294\n24480 93989\n30694 97929\n55844 76675\n25172 53528\n15212 51034\n53768 76184\n36450 76952\n89005 99991\n66956 70777\n19235 50495\n30849 42646\n54200 58990\n4568 94956\n6987 72101\n50275 88248\n24603 37358\n32931 77497\n8334 49228\n1121 58090\n56926 80193\n44321 94099\n78652 92179\n60837 87063\n32837 79455\n12203 96949\n1215 11009\n67681 89710\n63398 70475\n28475 35182\n74707 79838\n4894 61946\n73254 99851\n17830 60814\n20727 46188\n22968 47299\n2757 82679\n33651 80961\n24285 29063\n79198 94236\n87200 87624\n60476 78433\n4030 48602\n53844 68198\n29249 56040\n52243 61749\n35346 97099\n49910 64892\n76865 95467\n1443 56471\n39969 95253\n1061 10496\n21501 36596\n4168 96530\n53369 84914\n39469 58966\n56341 98728\n26822 74908\n4133 95044\n56759 81821\n38022 51611\n68377 92463\n25878 88543\n24292 81949\n52599 82677\n61457 67319\n15094 59703\n37663 40792\n7251 66272\n21522 39330\n11294 14513\n47755 51728\n5032 52837\n60330 79704\n67913 81004\n8806 49826\n68 71520\n22436 81320\n46631 49326\n61660 96822\n22024 59331\n87383 94182\n42356 43706\n43251 68678\n8431 80712\n68141 69026\n53277 69447\n4002 48991\n29804 53085\n49166 49196\n7159 29980\n45522 79712\n41970 49764\n31286 53608\n38344 98797\n48126 81105\n23745 97080\n60325 67402\n61043 88440\n28512 34890\n64276 70860\n35301 45975\n8808 46378\n29812 69660\n73341 78554\n33424 78383\n48989 91305\n28232 53855\n58106 66470\n15737 76524\n14456 38211\n13229 82697\n29526 41110\n8479 62350\n59154 67314\n1381 15523\n66222 96552\n42424 76252\n71093 75421\n1761 72150\n37503 48682\n35294 88000\n36283 80141\n60239 61407\n32870 61435\n70916 90560\n1032 35842\n26010 35679\n8412 53758\n38645 68371\n2445 42228\n917 46227\n94518 95496\n7093 84259\n57113 91436\n37904 84552\n1212 94099\n2425 25661\n54424 71503\n3531 84843\n11390 97705\n47761 90629\n68820 76051\n47643 74835\n8842 54384\n1485 24580\n43912 67449\n28524 50216\n25287 97996\n13470 97968\n7568 11947\n20615 53653\n5507 7949\n6180 28454\n37478 47178\n22095 48415\n6938 25756\n5765 14893\n81300 98367\n1168 10698\n56189 98224\n8593 53292\n69326 72465\n55824 99641\n70887 83604\n19556 57780\n74648 94085\n65455 79594\n8091 96467\n31467 62270\n1877 16528\n27592 54789\n22628 45864\n10738 70392\n2353 58564\n13987 68360\n80423 81316\n3937 31483\n27711 38524\n57379 90855\n13025 94430\n7160 74081\n31792 80382\n11232 35426\n24380 53873\n45293 90254\n22122 25748\n17453 28794\n33088 67887\n6771 69024\n54230 57201\n8471 64554\n26803 96749\n29236 38794\n40776 53152\n17749 99871\n6760 77942\n56514 97515\n40344 78217\n49675 84659\n23673 27987\n4418 13997\n21894 58290\n24592 84032\n43219 84279\n4436 79469\n332 16982\n74866 93027\n29062 76562\n50935 81997\n18023 19863\n9423 56622\n34975 37616\n3704 12653\n33210 92780\n8360 97099\n12698 59606\n3015 49657\n3713 68309\n1913 67022\n3024 96994\n45432 82262\n16366 23706\n21087 79218\n11695 23076\n24125 37222\n16390 85330\n57966 99013\n68714 95845\n10575 60320\n3563 29529\n11064 53746\n5877 85224\n31841 48796\n63141 97142\n28994 54308\n46305 52597\n4404 79919\n56254 57632\n18935 55104\n24263 70795\n7817 28891\n25240 80686\n43189 76539\n29813 46117\n22929 91255\n33996 60011\n50186 89004\n35016 74199\n13396 81102\n52309 92232\n4315 35869\n43578 64130\n33594 72659\n35977 90029\n3909 75561\n13331 26779\n2847 91632\n13658 99270\n13980 40400\n23250 78097\n19259 56607\n9225 64786\n79722 87851\n61752 81459\n71298 94880\n6503 81127\n11811 48231\n8232 84863\n4521 71763\n40895 95719\n2604 33298\n22558 63285\n62846 81279\n21431 51481\n13996 70717\n50482 84470\n8972 97027\n26743 56889\n45283 64774\n55378 61279\n33839 42251\n71677 87042\n25680 52800\n38025 66815\n11466 76081\n36731 39386\n62549 99799\n27877 42991\n22715 46842\n21590 89420\n67786 71691\n1274 59617\n22660 46799\n16504 54089\n25032 79381\n21626 92485\n2312 53993\n27543 73638\n5261 46278\n42358 99924\n62551 81815\n29134 32314\n48356 76369\n35507 59116\n10196 55430\n33987 70661\n56290 92469\n22061 53911\n254 27910\n49322 70220\n18732 82659\n34204 41189\n35039 88963\n61252 69369\n21458 37365\n27239 53690\n38907 67841\n23670 37770\n46217 89521\n65532 97667\n55640 96239\n47609 54822\n48826 91985\n3219 86633\n4610 91562\n29132 38606\n40514 68576\n22884 37762\n30004 48403\n53552 84397\n52032 80333\n3510 39545\n33936 50832\n34531 80399\n16674 58424\n42755 84097\n63435 73393\n41415 84415\n5374 69688\n57447 91618\n33686 49575\n23490 78177\n27012 89053\n64106 71280\n18243 47521\n38365 51977\n47542 60644\n19034 57554\n40195 59361\n28726 38690\n43344 44019\n27423 68265\n33136 89374\n16907 82412\n34364 35979\n47915 91212\n47398 82990\n54814 61764\n22138 87650\n2775 88082\n13715 26711\n67431 72992\n68 62234\n15718 66305\n14348 73171\n5525 22258\n54985 81447\n15590 20787\n32205 59513\n1420 38955\n21114 53790\n36543 64693\n35639 64802\n53892 64505\n73069 90983\n51811 95195\n59103 71243\n11874 41159\n6527 56549\n41677 53810\n62616 76783\n79162 85590\n30350 35936\n34378 71427\n49231 98293\n39698 68434\n26416 95263\n66227 96586\n5659 20223\n56145 74855\n15474 65606\n27752 61144\n6403 95476\n39018 60026\n19173 84030\n8393 57170\n5751 11903\n28461 45295\n14607 37000\n17285 64902\n33019 91699\n5470 22315\n4945 10203\n7827 13645\n24270 86965\n13720 49552\n72095 80122\n50542 92245\n40502 74093\n47399 50178\n8479 42035\n78527 85441\n20543 93199\n27635 49403\n33184 56717\n43926 54999\n27935 37612\n677 38402\n15271 49365\n26539 48227\n714 57170\n6328 41719\n36583 60108\n7195 92397\n35381 48061\n46381 98873\n1467 89839\n56421 97023\n32916 83952\n26505 49931\n50036 68985\n4687 91351\n3978 31246\n75875 99086\n32750 88953\n49962 83680\n21791 49073\n34924 66027\n23462 68664\n38465 83003\n6447 32596\n5636 20849\n12462 70253\n13849 51215\n37490 52740\n46538 70195\n2319 13279\n668 6232\n82156 96975\n10157 66022\n56223 76791\n29290 40954\n16985 94693\n19836 50837\n30934 78306\n73779 93510\n11728 36705\n27179 98842\n31125 82743\n15997 72717\n7491 87613\n46127 84058\n21216 63420\n69195 74669\n19144 76456\n36614 63881\n83361 84693\n70472 73695\n49572 55826\n38542 64861\n57228 62262\n33287 52893\n77359 98256\n1164 28269\n29374 29894\n28011 52646\n11170 21897\n26150 72789\n35217 91510\n47479 62914\n429 93943\n38092 57958\n61928 92101\n59688 85294\n55438 57145\n35924 56083\n47820 66185\n10226 42560\n8540 85113\n25368 81170\n35720 62484\n2270 73655\n73130 86585\n13776 93346\n11835 81010\n32221 85651\n25644 81436\n66239 87076\n21301 23997\n27039 45543\n54072 94760\n10441 17943\n75921 76347\n64055 70410\n36772 41226\n28075 68801\n1345 30413\n2146 46467\n9791 24451\n37984 87342\n11695 53752\n25083 74543\n185 30839\n67266 83727\n281 42664\n2412 40740\n42685 46093\n11103 62869\n21602 94247\n7238 90607\n5328 44683\n30850 69856\n61957 72527\n8826 29812\n5557 10634\n52620 86553\n33730 59506\n48862 94896\n64149 81440\n64366 88594\n37912 97365\n56344 82231\n17909 60611\n17342 50534\n84871 87016\n79651 97259\n41410 73837\n2670 83543\n6894 50831\n39184 62058\n32827 85787\n30877 90674\n15643 75025\n67675 88792\n61362 68211\n30839 89664\n32705 80756\n73512 87711\n3897 65755\n4901 41896\n59658 76402\n43162 86150\n9716 63997\n16756 72654\n4154 18422\n38594 72027\n53426 91825\n13047 73062\n27464 40514\n16540 48605\n11029 72000\n74490 76818\n95772 96267\n29888 73089\n28902 55582\n32446 57806\n9116 28585\n6723 70659\n57842 71664\n51571 96368\n59603 71349\n3069 49814\n84469 97848\n3166 86302\n40422 79468\n4324 98583\n3042 19898\n8979 44825\n74334 82716\n25971 26361\n573 84209\n26100 34182\n53341 80855\n33979 77985\n21834 86776\n13671 42167\n58292 96750\n51459 89697\n63134 99796\n45336 58169\n1694 27018\n55865 61706\n40251 84928\n10456 95609\n80384 96371\n12718 80804\n15976 17448\n71125 98031\n70670 77450\n3994 10782\n34154 72726\n24844 53504\n48771 79810\n24414 91880\n14247 58487\n67985 68059\n28170 44460\n7983 27684\n2214 39389\n39545 51673\n21196 62317\n2001 82414\n40364 65996\n39554 92446\n19417 42425\n29880 75311\n34454 40564\n37119 65101\n43234 78611\n4275 34639\n8562 30938\n20269 38340\n52718 79196\n4503 89610\n12965 17505\n25848 81387\n9255 65308\n40269 63123\n19183 67408\n14884 61093\n19636 26234\n20520 24686\n78502 99611\n61668 95519\n23056 61659\n27293 29608\n49199 98236\n14801 67592\n51970 75337\n2992 17192\n20957 52677\n268 83365\n63293 92844\n86490 99733\n14244 50964\n33296 90411\n5269 71434\n28227 50615\n23262 86302\n25282 49122\n18967 59618\n6672 83635\n78168 83491\n11384 88291\n2102 22954\n21297 80394\n15526 37073\n72577 72759\n71720 98155\n50266 74369\n2594 82577\n56506 62726\n28433 58995\n43434 63521\n84509 91377\n41327 67700\n13223 75321\n4930 62879\n71536 92234\n22510 78634\n33399 82621\n51940 87062\n28983 94027\n7321 64320\n56175 99106\n12311 47001\n34492 76567\n21149 71124\n43932 56885\n2117 82739\n3860 27965\n1104 32414\n26549 29448\n36048 98948\n54972 58255\n3854 34684\n26863 83955\n14486 39964\n11924 85257\n75382 98898\n77341 94135\n58872 77985\n18352 95355\n237 57583\n14084 31167\n68622 89584\n31641 99505\n19093 71412\n73752 89552\n50201 96125\n55798 93770\n14181 19556\n24515 46616\n8204 45815\n43435 96054\n94399 94710\n84645 92132\n17667 20574\n53292 79059\n4365 20873\n71028 75803\n31286 87980\n10391 21606\n6909 72762\n50854 94403\n11646 42889\n82027 93170\n1703 85139\n27922 84752\n95755 96146\n69844 94804\n58515 94423\n10995 97894\n2982 8748\n7537 76430\n22154 43726\n29986 46380\n20694 58805\n21856 93518\n7686 8761\n39068 79217\n51664 94052\n4327 22386\n20834 76352\n76132 98181\n16496 96311\n50076 54925\n37243 46091\n12666 26880\n31123 50404\n12101 90768\n21853 98848\n19134 58300\n61621 77053\n16242 95601\n44760 64262\n11926 64104\n14998 31203\n15155 41847\n42443 74877\n52980 68232\n8184 35247\n6968 16746\n30217 80497\n8818 28884\n29489 37565\n50355 54201\n83650 91978\n67903 68150\n54492 55747\n24592 45247\n15823 94076\n68353 71711\n54199 76189\n58399 78079\n8258 68291\n25893 86984\n46695 52860\n26436 93023\n9912 82175\n15668 65246\n5881 54099\n45651 57187\n23691 76313\n72588 83107\n67099 70388\n52557 90727\n37043 52763\n3999 20050\n19204 30917\n10960 97420\n56957 73061\n5923 49275\n28110 93020\n26032 48468\n12586 15967\n72430 86943\n52018 85412\n39550 90017\n74096 85892\n32335 99842\n39482 51749\n6966 40770\n26547 48510\n9062 37416\n68653 71995\n433 32485\n22349 74249\n37621 62305\n17197 24884\n54191 90809\n85120 89911\n74698 98394\n27032 47657\n27435 95732\n5220 75193\n48568 75280\n54016 58900\n68274 94347\n13202 86249\n54416 65732\n25594 80730\n13056 55735\n4197 81640\n11421 86163\n4347 84874\n25331 37622\n29121 74578\n3295 88413\n44066 92585\n36041 58546\n36343 86678\n28131 32792\n64277 79332\n57644 70884\n29568 47377\n59 36353\n66299 67266\n67315 88717\n86523 92524\n38264 80587\n25897 77939\n48680 86070\n33734 61498\n76832 93513\n56163 68355\n14849 58726\n70382 86319\n6573 70680\n57027 81188\n36887 71447\n31283 66430\n84810 87066\n3914 80200\n31060 76905\n56607 97158\n44792 50510\n35111 84080\n89395 98921\n29170 51659\n10425 15500\n9174 13949\n30027 47789\n17522 51123\n17832 37910\n1889 67277\n62161 80060\n32308 79390\n4409 35654\n58002 92356\n33404 74297\n13622 71581\n55037 78035\n64933 99344\n45485 73985\n13122 99295\n65697 82646\n29410 93996\n52255 62957\n85787 90060\n39254 63336\n31315 55710\n41458 52103\n57689 73824\n49412 82927\n31948 55447\n20743 76904\n42840 86433\n32913 36280\n66107 84727\n19871 45139\n41145 96251\n26960 34137\n9480 16190\n19969 73527\n9731 47827\n13989 54331\n79492 85754\n28432 68547\n17796 75619\n28457 71696\n50721 82702\n50556 70735\n31811 51520\n83018 96654\n563 55503\n3944 82459\n28742 69421\n71797 79020\n32584 42658\n3599 52043\n51537 80175\n30775 80367\n23432 89221\n44648 50597\n22545 41598\n20407 69341\n35345 61105\n50353 64436\n30753 85639\n14579 51253\n3406 29911\n47063 76131\n31886 84383\n33882 49900\n5844 44572\n49406 71095\n24066 30793\n42886 46961\n439 73332\n2932 98451\n51337 54915\n7769 68155\n26073 73866\n41625 55063\n21573 84818\n27920 51517\n23553 95811\n3845 42631\n31894 50305\n31905 94560\n7764 42666\n15669 52735\n10461 17432\n34396 77606\n12989 79826\n57160 97810\n44484 79328\n957 88213\n30427 77623\n9645 43556\n87562 89167\n54903 80000\n38638 78367\n25678 51134\n59462 93019\n4556 81339\n828 84263\n32980 55228\n41226 80295\n12325 71805\n43079 99037\n39259 46577\n9331 25462\n34455 82803\n13094 24587\n89752 92118\n82491 88311\n17112 19462\n76866 85341\n13908 20822\n35147 75157\n77469 98529\n16133 26310\n68965 96859\n50713 76698\n11639 51636\n12266 74882\n37663 82289\n26264 56236\n78081 88275\n31726 90710\n42575 87271\n8827 43816\n41687 42481\n20190 61442\n14535 63660\n66239 77630\n18102 50409\n14478 48050\n76140 80736\n74495 90387\n13248 87302\n51186 55789\n25808 52091\n12278 18695\n50748 53867\n24172 90452\n45907 88710\n1740 11968\n482 23694\n73978 84504\n32350 97999\n4151 97371\n37875 63686\n47365 49272\n23705 25151\n8456 51005\n52513 53499\n88057 97217\n6577 80406\n10707 54456\n31500 38988\n45228 97390\n11615 42129\n64075 82868\n11771 92559\n39427 77553\n16679 43500\n23430 44467\n37599 39622\n53209 85419\n9323 88082\n49724 68025\n33526 57059\n66410 72483\n84358 91528\n11816 17697\n30441 54823\n18076 96901\n37617 92254\n6559 20325\n11934 44561\n49444 73754\n71677 72611\n77944 97902\n18456 69867\n61301 99067\n3329 70434\n34092 80793\n71370 86095\n2199 6994\n52276 77215\n6252 93675\n68398 78157\n12102 81698\n25613 85936\n53007 62166\n46522 52514\n13890 34318\n57986 70722\n10844 72374\n42297 72005\n52204 84194\n1900 67123\n32398 76511\n46221 48426\n47767 47980\n73904 90541\n12277 52913\n75697 93569\n45845 94811\n61294 92820\n19547 80056\n44224 83914\n75834 81682\n56541 69767\n65405 78027\n9758 87946\n51472 58936\n79409 91730\n86376 91882\n31494 44660\n1591 14904\n57073 87131\n51759 84510\n60394 82112\n16165 97397\n15856 41060\n8780 84608\n64426 96709\n28076 66144\n81827 86207\n9445 25256\n20336 96305\n25291 96317\n47511 58817\n21526 52480\n12166 31435\n44358 49593\n44696 49495\n33243 45434\n54748 59419\n37366 88402\n15571 39659\n66438 76167\n2702 16435\n38865 50337\n16037 95971\n47908 83108\n17853 87339\n13013 81414\n61773 77487\n29594 31143\n24888 31595\n48270 98688\n18195 25044\n43079 70415\n53011 58244\n55659 60476\n42726 50280\n26062 27367\n33804 49922\n47171 58364\n14243 85487\n36646 79519\n10424 28534\n37356 80341\n82540 86640\n9595 95009\n5849 86526\n13241 86171\n54251 80355\n45175 86738\n51415 99083\n60737 83635\n21231 21824\n95928 97589\n63300 77305\n52772 79429\n21466 94511\n84936 95123\n71164 74648\n13105 16726\n59438 85205\n56560 62142\n67672 94423\n15022 30548\n63075 78963\n35893 62593\n13055 84615\n5142 26573\n35804 40701\n64651 92100\n53210 95888\n29960 37514\n8417 32298\n22663 47234\n45624 78478\n44865 76068\n35375 76784\n39768 49615\n677 88460\n18106 94912\n35190 66143\n24038 99059\n12855 53340\n55823 62576\n65192 78726\n51113 74218\n73770 78514\n35670 54354\n36165 69645\n10161 61935\n6456 38095\n34070 37381\n44333 86103\n19713 61705\n52353 53175\n7112 59796\n6570 26208\n14915 65080\n97405 98387\n49498 57955\n7776 42088\n25777 95138\n54106 91622\n27098 84223\n48305 58969\n3064 90836\n32685 95013\n8155 75476\n66283 97106\n58445 98283\n46122 54235\n42016 60461\n63574 72591\n2234 95320\n57406 92877\n34142 59032\n49038 57926\n9138 91857\n33291 97676\n46298 69914\n38426 59001\n33194 94557\n1112 14199\n11596 21951\n60207 62593\n8023 22145\n16459 98670\n22800 38899\n41679 57219\n58063 89190\n90086 99982\n92114 93103\n73784 98453\n39460 96632\n29102 94940\n5271 28605\n82516 90255\n34410 79098\n8199 89746\n27658 72228\n57258 64862\n46065 66750\n513 61674\n16895 33883\n12783 27416\n39552 73772\n73847 79110\n15234 50918\n93313 95816\n31741 76257\n9005 23815\n10951 60705\n66137 73263\n63579 66285\n24009 59938\n3633 90026\n37141 75912\n85782 98831\n10407 47521\n42489 58617\n60502 87835\n12929 98058\n10895 90135\n37067 99933\n1288 79267\n53963 74767\n17499 25531\n35715 50966\n3312 34359\n40850 82403\n26500 68228\n56462 95105\n43297 67568\n89303 98569\n29511 44161\n26246 33480\n4815 52278\n71076 74700\n1813 68191\n33240 64759\n8953 32119\n43510 53198\n42242 69195\n35049 61085\n16122 30905\n83545 97649\n42490 48503\n5020 16864\n57527 81286\n71514 77213\n43304 99837\n24742 39494\n3470 61022\n8889 73396\n84771 97997\n34424 34594\n17584 50956\n41670 67494\n1582 47314\n3228 78166\n28260 87652\n16789 62618\n19569 35424\n19921 70839\n49213 60433\n13201 91646\n21802 93115\n1624 44198\n8862 24223\n23447 61464\n34423 46565\n45921 68589\n44890 96315\n10278 65051\n29565 55944\n6198 41843\n9891 24398\n39326 99224\n23716 34493\n9987 44781\n54095 56468\n5636 36023\n66457 97095\n45256 54140\n2961 84010\n55227 57739\n216 27765\n68307 96548\n41983 83286\n32959 69502\n16349 85893\n49734 93168\n9293 51079\n44763 51867\n24581 85439\n9257 12745\n64907 68527\n575 79864\n62934 93454\n22129 39312\n13737 62041\n34097 50192\n33636 69959\n53246 98544\n14563 65693\n53215 88632\n58396 61627\n48589 91461\n10827 91917\n63671 95883\n56311 59183\n10727 77681\n4170 23212\n87426 89811\n2620 10912\n87476 96632\n57681 80340\n70717 78002\n4012 16934\n3869 98893\n31718 82890\n44770 62431\n11230 25106\n4765 88684\n25311 95661\n9342 61238\n50382 72314\n56828 84615\n26760 47357\n3261 91257\n33814 84950\n76042 81544\n14386 63922\n9599 92261\n13687 20283\n21802 56429\n19508 77903\n24247 67594\n1549 88163\n20620 71523\n65241 72837\n76009 76903\n26513 29821\n50898 72436\n58472 71186\n19536 45998\n8931 33108\n50253 93757\n44943 82980\n9278 98292\n68135 95380\n56949 98216\n68450 98421\n14512 99688\n18868 87918\n38573 75969\n73834 84640\n21719 22541\n31283 43389\n57327 94081\n13873 24232\n4278 10562\n75150 95410\n16116 19830\n24613 57791\n30825 97818\n31522 98839\n30851 41578\n19573 62644\n13257 24870\n14938 60794\n9966 39008\n18545 95541\n58500 99910\n4876 56845\n24593 57504\n70950 76469\n34733 94389\n37812 40173\n18738 50952\n45488 79064\n95309 95855\n73283 79340\n47672 99649\n931 42683\n48975 68092\n49382 51433\n37766 82917\n28382 50074\n14308 19724\n59229 86855\n17503 28747\n34382 60884\n35755 90301\n34104 66389\n29231 81346\n46081 71250\n9148 91173\n31091 61137\n50996 63930\n58695 97760\n11560 88812\n26088 59892\n9160 64922\n92849 94332\n9827 79742\n33581 61496\n2259 32890\n14892 98401\n16361 60653\n35937 59597\n76107 86833\n6151 8509\n24665 27866\n13728 23904\n48930 91974\n50398 52918\n69464 70134\n54424 62528\n2016 87511\n40830 46616\n20679 57137\n18203 40492\n43799 87615\n37219 90519\n6500 29372\n12829 92111\n33057 51394\n67962 75560\n53318 81787\n22713 93875\n18348 60558\n24924 94295\n895 4544\n14170 50682\n17513 85201\n33012 90945\n20272 99596\n77691 79385\n64748 81733\n52623 79531\n824 33859\n71767 71967\n27880 91751\n27856 51615\n59871 64838\n23333 77985\n2893 23960\n26236 41127\n26741 59589\n64476 76026\n14426 92527\n58290 81434\n56277 76236\n2480 79601\n47558 83557\n30177 56524\n5856 35034\n67672 81248\n2694 97635\n56441 91727\n27191 28019\n51428 96444\n38195 42964\n9575 78798\n45227 57008\n31389 61594\n48308 80431\n60227 71100\n10698 20186\n76530 95949\n30039 32380\n80032 85180\n19014 56388\n4086 68108\n24708 79935\n52136 75685\n13794 53609\n19476 19870\n10950 68602\n59653 69409\n12256 69973\n74739 84826\n18042 64736\n7051 79628\n50525 91307\n1712 35521\n8805 71561\n62077 75942\n35700 82419\n76168 95155\n51711 65554\n20265 73997\n11788 86673\n55786 83784\n48075 90415\n30269 55318\n19637 97149\n34882 66691\n17531 60863\n22021 75935\n19630 54407\n43336 74145\n11996 55593\n11650 52712\n57062 64745\n37286 83526\n30628 35983\n47658 76248\n43447 92378\n8872 82171\n43662 92823\n20739 41464\n5748 64029\n59674 82654\n22078 66141\n14496 88825\n21178 97934\n14522 76241\n69506 81111\n27476 32948\n40290 43677\n5137 61071\n86727 98469\n41735 56903\n17855 27430\n29978 32900\n35142 78207\n1583 87127\n31413 83013\n7127 76638\n63853 97400\n16881 35775\n103 28187\n78206 96169\n91273 95368\n5903 54278\n11375 97891\n27497 80075\n33176 77808\n20728 35198\n19806 94155\n83279 98055\n8489 25613\n29275 58666\n44471 58495\n5726 95843\n31412 45769\n7403 10071\n24619 61891\n11392 20080\n76236 91423\n29136 31101\n38910 42170\n38699 42936\n26918 35683\n1241 74258\n15922 94174\n3196 15226\n57560 79778\n15659 16417\n76168 97119\n33864 64962\n67005 96261\n30415 66003\n43988 83217\n8768 44017\n42532 46708\n78608 89541\n75403 91901\n19369 54521\n19377 43614\n6413 19880\n17219 41506\n22336 51523\n34852 87663\n70860 83700\n3165 8859\n28815 45433\n15068 48544\n25636 69293\n69626 84259\n56568 84904\n88244 89523\n27650 74495\n86090 93359\n7236 96242\n9123 69180\n52102 60594\n22418 88463\n30034 76368\n29937 40865\n56137 62695\n19578 47856\n66674 85936\n13965 85739\n22191 55299\n18307 60355\n23108 52932\n65416 90345\n66432 87576\n7832 59693\n53308 63877\n11152 16925\n10824 19290\n20734 56832\n55598 77088\n26361 51899\n59567 89329\n22928 69851\n25558 41689\n35967 98996\n42157 47507\n53520 53600\n16356 75928\n83413 95085\n24924 80006\n20466 97363\n14368 65846\n28476 92789\n82149 98064\n92556 98764\n51786 95437\n7356 18815\n41108 84137\n70147 88920\n22975 78227\n9454 15056\n89200 97713\n21482 32599\n5958 82571\n58572 79428\n11339 14437\n33960 44328\n88666 96355\n42019 76002\n83095 96945\n15514 66220\n84964 98158\n33323 47217\n47592 79640\n66176 77177\n31980 79579\n19622 35547\n73130 98073\n19006 58336\n36189 36715\n26779 63217\n17757 37529\n5900 38000\n7685 66865\n60243 82702\n44985 64264\n37312 39136\n13079 76753\n42772 90831\n43676 60035\n41881 72201\n335 52733\n48609 74775\n24937 74586\n2372 66214\n26202 42778\n74398 78134\n7916 39094\n48470 88671\n69627 71289\n16289 75168\n47639 55231\n782 21023\n13306 38225\n14860 67888\n41555 47162\n21298 33549\n44782 97138\n23734 86453\n10889 60850\n878 45867\n25048 50179\n77565 86674\n6059 94327\n9623 22328\n24892 88080\n5577 94596\n45014 93191\n83481 97251\n7449 45330\n20148 73577\n63020 95308\n41225 57992\n23236 89988\n59057 89248\n50390 61326\n31427 81474\n55982 61291\n21282 31502\n5879 85158\n24620 66490\n1307 62025\n74524 83885\n60567 86450\n54222 76426\n32798 77324\n50108 85292\n18463 74498\n15571 45475\n14776 95584\n9170 37719\n66603 79161\n49460 54974\n56698 67555\n63368 84914\n36687 96885\n18552 65291\n37458 49100\n14420 99673\n20954 34579\n7960 37585\n31039 39654\n45621 79798\n14696 30759\n6581 48739\n22194 85658\n80429 91505\n7003 95513\n19657 55120\n50757 54524\n24974 99518\n5864 12653\n40805 82312\n14058 22216\n18641 91259\n26609 44434\n58863 60965\n36329 54970\n19514 97418\n17162 25424\n11371 18259\n7620 79864\n64439 85629\n29209 80850\n41152 49136\n14042 81625\n7334 57115\n4255 28768\n31809 54704\n5946 90335\n23119 68764\n2110 50597\n44298 62122\n38515 96013\n18896 87342\n3404 36285\n3287 98832\n3997 43212\n15782 21812\n46945 50592\n61131 92354\n29770 47314\n11999 58008\n7633 69574\n15669 91094\n42262 64123\n20606 24907\n16589 83704\n8525 95866\n17629 32664\n3549 39750\n24009 62611\n54988 91294\n39515 42057\n13204 69707\n26333 62880\n50614 60414\n1701 73510\n46257 64521\n44783 94569\n23147 65112\n23584 95686\n49332 54533\n32703 56643\n54950 79622\n17204 21124\n27644 94895\n12226 42766\n16588 39557\n79036 94927\n26640 76912\n53978 59457\n11972 20754\n139 22076\n16757 91988\n64252 81007\n4986 79406\n61445 65078\n40887 76001\n50047 71538\n23868 95493\n55666 99144\n44929 54224\n75282 83383\n49055 76042\n3036 97913\n87603 94387\n28558 31763\n33510 63144\n21072 39042\n185 97916\n16018 68790\n5842 82243\n19047 37397\n46452 49544\n19414 46221\n17180 25081\n18100 57452\n72398 91088\n14349 42593\n30587 86723\n11988 91780\n504 50699\n16512 33247\n66163 90511\n78287 92114\n61007 72198\n56155 61816\n32425 96051\n18067 97325\n24429 67194\n45927 64769\n51562 80255\n52426 84743\n23322 23453\n13506 89838\n13468 16167\n49617 79379\n76005 79182\n78237 96576\n20194 99467\n27427 94625\n28998 53007\n5364 6080\n19409 28763\n1590 85962\n19747 83881\n22328 25979\n66213 71078\n63818 98593\n41974 45870\n3379 91266\n82376 88257\n59676 83844\n40550 63663\n36939 56790\n22309 70578\n47865 78501\n33208 83870\n23533 46319\n2733 79628\n26643 34412\n7046 90515\n27761 80516\n25573 89408\n11767 44756\n14321 93668\n88165 90090\n42629 49075\n1251 37451\n53427 98253\n15502 27227\n4367 88755\n14866 96887\n12760 16538\n23741 38414\n55288 62561\n22330 45507\n7294 95352\n22223 90913\n4329 59065\n1400 77375\n43690 75810\n17133 25186\n23246 66994\n14787 22067\n27516 46073\n20828 90826\n8422 44815\n40782 55526\n6369 44297\n26969 59867\n11407 34020\n1960 41505\n61821 90504\n63675 95410\n15143 71253\n17145 75622\n3407 22440\n35334 93438\n33972 99809\n58380 99528\n2636 68083\n26024 95158\n2116 2657\n10897 77487\n12744 36313\n1023 47329\n7987 34086\n4663 51456\n6342 63411\n17899 33226\n56308 81992\n26256 65011\n22402 72702\n74667 77151\n13840 81257\n72990 78800\n51114 79277\n63844 82464\n1551 81423\n41954 58111\n12405 65699\n9256 97111\n13390 32910\n58977 95631\n74812 89360\n16787 49014\n21193 99397\n48770 77045\n5673 60420\n58273 78204\n10810 99625\n75589 78890\n94735 98426\n46405 89915\n6004 89882\n24260 32072\n7307 40130\n32592 50854\n82421 86601\n32501 76984\n20877 70706\n57020 83706\n54935 88683\n770 27572\n9195 21397\n11086 46223\n6476 84371\n47774 97227\n7962 43737\n34719 40483\n13636 49270\n6105 9373\n45640 64963\n2769 41755\n51694 67823\n24479 45930\n84638 92657\n9911 65604\n3408 82665\n61687 66775\n11648 90704\n55996 59840\n77559 80976\n10333 67635\n25618 77508\n63222 63718\n7350 7392\n21104 77154\n22272 67031\n41532 82361\n3535 87724\n27295 40251\n41713 98714\n35292 74686\n55178 65816\n43502 60376\n20152 48418\n94830 97208\n23743 97467\n54849 71852\n35097 91664\n37390 69975\n12461 35308\n10247 68962\n31728 87775\n28520 52744\n40800 57342\n53556 60724\n54748 93385\n69024 78421\n12272 91812\n3084 51644\n29026 87337\n59290 76543\n24191 68724\n22047 54512\n850 73626\n1169 77680\n29394 83936\n11602 73754\n11076 25424\n23481 38100\n24717 74398\n7397 41368\n29697 34726\n65013 86873\n38170 94702\n23278 63156\n9636 87165\n79694 91442\n90785 98504\n10692 49660\n15051 92225\n13461 67241\n31523 67265\n47880 94855\n10691 74407\n78757 84742\n7327 37247\n11935 51697\n36504 50406\n17225 33367\n11860 92945\n16100 40987\n13173 34303\n7431 30869\n22269 63389\n58696 98513\n25344 77635\n26410 76605\n67603 98320\n23737 32844\n55543 98311\n79589 81276\n22462 74692\n26628 53271\n63703 95711\n2073 24067\n10369 83258\n3364 58786\n29441 67877\n52852 89212\n18235 19253\n27801 95622\n14393 23577\n22770 27458\n29141 66724\n51757 78925\n27953 85012\n15636 56633\n11330 20611\n31164 98935\n34759 41813\n25595 99110\n28063 93050\n32290 74108\n8460 97766\n46904 96420\n70456 75292\n25168 33530\n75770 97474\n18095 83666\n45403 55018\n25260 93517\n32 25986\n17072 65979\n57979 58486\n30033 92459\n45276 64331\n2319 60199\n1372 47625\n26827 84068\n6375 12067\n40977 91431\n39079 51717\n11446 32685\n927 68802\n77477 81590\n6518 20345\n21414 84120\n10663 21618\n73328 91813\n64220 76965\n64303 68179\n23681 82874\n11843 41729\n49584 93850\n28812 79217\n37947 66956\n30285 47635\n11084 24855\n70025 84518\n61842 72325\n49041 63301\n54041 77489\n28821 88833\n4047 50280\n24597 79010\n4614 93278\n6056 71368\n4043 94752\n14308 28504\n16636 17959\n24203 79577\n25103 31987\n69902 91158\n30098 31423\n23507 73862\n13087 55824\n31806 78599\n23415 53706\n23221 41780\n48681 99325\n9473 61587\n83679 85614\n43396 55143\n25118 32654\n24355 95276\n30316 48851\n69379 76030\n33176 47281\n8268 60376\n50752 88768\n20231 53126\n76417 88646\n45756 83107\n47416 93353\n29120 79263\n14603 29293\n69256 79082\n23034 41793\n33312 90417\n45190 58797\n46740 88778\n72148 93353\n51315 85682\n30116 53197\n60756 68098\n16329 68525\n30299 65586\n32738 95693\n21675 53459\n7101 35732\n25652 44737\n15489 60021\n47772 79252\n15412 52773\n63923 93600\n44288 78726\n22137 98075\n30253 65166\n15801 53659\n2776 81471\n23628 38324\n18107 34065\n58006 64950\n74769 87426\n29419 31921\n67419 69640\n42858 77480\n72195 83616\n41555 53265\n6311 11571\n40290 49302\n77730 97983\n8980 34404\n30019 72224\n21153 62777\n11245 71697\n1347 32201\n45022 80416\n42323 75892\n6437 65482\n143 98610\n19575 36640\n16034 71215\n46193 47045\n16968 58260\n490 59233\n26482 50743\n17195 99540\n72527 80975\n47679 96207\n71603 95972\n24708 31702\n8359 83933\n80156 92397\n19484 80032\n75413 98919\n53694 83556\n51526 66445\n54858 95547\n52027 66495\n2006 58341\n27905 62363\n35752 79381\n16200 94124\n20476 49708\n43114 79595\n15806 34220\n18351 59321\n87140 91486\n130 28561\n39335 76271\n38419 71149\n53240 82760\n10582 42016\n28641 69873\n4339 58243\n19166 49761\n15916 42224\n21213 36958\n33544 87165\n36786 70007\n77127 86418\n41337 57246\n29266 69045\n339 71388\n37836 41477\n12206 70094\n8310 18158\n12462 33602\n53433 81599\n15426 19659\n24046 69022\n35195 89207\n28420 60126\n2096 82278\n26129 83704\n62387 83944\n10207 99459\n40538 80400\n18652 50440\n22906 42654\n33303 64845\n17753 32442\n7601 83386\n13410 76983\n26823 55157\n15274 23260\n4110 14607\n12517 37114\n22040 57231\n19311 24744\n12931 85130\n26685 92862\n29833 41007\n36759 75772\n97517 99751\n21498 76774\n19053 43102\n39392 70927\n7746 9763\n24782 40434\n10777 33540\n11763 46706\n18230 26198\n10194 82299\n36729 99140\n24277 53299\n74823 90403\n17811 71481\n35257 79141\n20599 23640\n58781 65643\n13767 88391\n96793 97033\n15130 20169\n26973 63455\n34225 56838\n4550 38496\n41845 68366\n10998 62321\n48269 94192\n15643 39830\n78222 84611\n45084 66570\n28827 36407\n52878 74306\n14310 98632\n15236 19347\n20804 86084\n79355 93695\n2716 41603\n46821 90347\n47345 66126\n89885 90177\n9648 51396\n33592 78923\n37886 97586\n18894 47556\n68691 88573\n22468 44425\n10654 42023\n24100 69744\n35990 40144\n10022 12015\n65675 86229\n19408 82429\n58757 79660\n17269 51464\n33542 84343\n26233 77493\n52436 74565\n18407 93854\n33566 49855\n2586 11003\n7990 58873\n60355 68989\n30919 58265\n11053 48954\n42347 80138\n29687 47699\n68682 80929\n16320 57737\n12856 15065\n49155 86223\n65872 82289\n29249 79476\n5278 85565\n33587 86745\n18558 96427\n16458 56078\n91218 97457\n1550 80514\n68002 71687\n23901 96243\n36507 88955\n8585 41438\n27798 62035\n31482 42524\n32638 73093\n3401 66773\n60707 96264\n35800 83355\n8748 62414\n5956 27576\n35229 46899\n1920 38870\n19258 62398\n2335 29589\n59215 77352\n11081 57457\n21056 51040\n84136 99276\n62837 94278\n29170 83538\n9481 24518\n8215 89111\n87961 90675\n93827 94522\n28567 52917\n67414 84685\n32305 45088\n37163 84964\n27613 65677\n33499 73491\n47853 78877\n21171 63561\n18232 76132\n58167 60152\n46502 52210\n35578 57337\n49669 69347\n77756 86787\n69006 87578\n30345 35771\n27453 52929\n10235 95046\n35951 71658\n51031 53568\n60768 94255\n21016 87981\n43119 64334\n66752 87166\n29175 91437\n86455 89491\n6176 88533\n12214 81306\n48538 95577\n22000 29227\n19188 23689\n61189 92464\n47051 53176\n37006 41592\n21355 67096\n32778 94019\n17732 52104\n15569 67419\n10391 85482\n50793 94705\n67975 76273\n37325 82093\n34844 47592\n64140 83480\n6823 88753\n88750 98297\n306 72814\n5197 97992\n30348 69911\n12406 89392\n13453 70717\n67858 99347\n13771 71082\n66969 76662\n32495 95167\n35711 85274\n16942 86801\n55843 75351\n65782 70294\n18307 45111\n89933 96116\n47598 98101\n16266 93343\n30455 90521\n51064 69526\n21515 88173\n49083 93967\n16244 84484\n27062 81013\n65241 80001\n44237 63185\n64622 81366\n41005 70009\n30770 46731\n39154 83716\n19128 79117\n11905 75772\n56993 68556\n61063 90337\n9551 39609\n40148 90621\n83417 88275\n47788 95243\n58677 78266\n17640 51711\n33699 77867\n16889 23685\n16749 29127\n31582 72797\n14510 48785\n83641 93041\n24379 94476\n19906 83371\n89159 90396\n6413 24469\n43926 60707\n29820 71563\n42587 60604\n35790 51488\n84476 92234\n6772 84130\n53794 81614\n60939 93884\n45890 66718\n56538 70131\n23738 87873\n17266 39891\n34825 79518\n31519 66595\n6302 78971\n66618 68968\n34249 47077\n53622 70308\n57925 90128\n16508 36754\n45084 53902\n17708 27605\n1918 47998\n48665 88747\n2676 77216\n66372 73875\n80875 83719\n41773 88860\n33557 63052\n15852 19102\n10135 62599\n46218 82305\n2854 77432\n21360 84904\n959 59034\n10591 89234\n61648 76963\n4922 8434\n84769 86934\n51025 73016\n84649 95249\n8356 86650\n43263 76402\n8382 93788\n64357 87931\n35940 78535\n69372 98957\n42501 53733\n31447 96235\n29694 60192\n6600 82232\n28137 71895\n21903 93878\n18173 74364\n7559 57990\n5650 70531\n15575 89146\n1459 49937\n6949 35426\n10691 54645\n11012 61745\n19088 99215\n54807 76559\n21484 62013\n12415 16735\n10809 39881\n16717 17480\n11971 18581\n14674 41378\n25662 34975\n17473 62384\n39667 93532\n70901 72567\n41156 76719\n35080 78353\n90706 97728\n6357 71124\n84768 86381\n20917 58525\n1757 79962\n57393 97596\n22401 59716\n40529 97270\n935 35695\n84906 86518\n61231 90647\n14671 75698\n35281 96040\n28015 81211\n39990 89355\n18959 33479\n55328 64642\n30137 99279\n35667 60894\n45456 62877\n4985 91683\n61284 87764\n55860 98213\n51303 74767\n4771 67895\n11228 39154\n44725 96034\n63024 71374\n20304 97763\n31288 70693\n38864 94916\n34966 64925\n92327 97114\n49776 62182\n1105 99947\n66575 93189\n30209 44236\n49963 80886\n13947 74095\n74565 84700\n61494 89551\n59877 72701\n48991 68494\n23587 39457\n49291 93075\n18345 48784\n78794 88388\n73939 90189\n10702 54998\n706 57027\n30200 51957\n62757 85912\n91238 93192\n8399 44694\n73468 88315\n7193 22130\n3264 83484\n1661 59026\n53747 69099\n28798 68786\n37627 90230\n35520 63865\n75133 81823\n20496 31242\n31886 89994\n44338 85497\n19959 75190\n87035 98035\n11178 29024\n32244 58451\n15290 52486\n20643 75913\n16947 47849\n15494 58907\n55985 61402\n32472 80047\n35708 62941\n9868 26271\n41878 80455\n53704 87577\n7722 70444\n54246 92535\n41982 89870\n60840 88502\n27444 62866\n2691 19896\n17778 93154\n25556 57265\n31655 86234\n87305 96901\n4832 44411\n30092 46064\n39716 45319\n25415 37869\n54019 74264\n9880 79973\n60033 66225\n23827 92153\n60942 99823\n1758 24703\n51854 83907\n27576 37760\n35356 95800\n29490 94455\n3481 65751\n61073 87147\n81171 86840\n41686 85300\n31683 92955\n93137 99884\n56430 92458\n37264 38427\n26577 43021\n47790 71146\n20624 23986\n32190 92732\n38097 68072\n574 14266\n37388 38593\n83595 91451\n6663 97366\n22187 48623\n9470 56915\n52516 91131\n82350 87127\n25332 52822\n39506 94854\n7345 62827\n68163 87754\n12894 89691\n72447 99405\n13289 35520\n15167 52130\n57709 62948\n68651 88484\n61841 86810\n40243 60199\n45238 61528\n20857 60650\n37537 38793\n5095 10960\n19473 38679\n18123 66791\n42289 66743\n6038 88881\n40396 88598\n35484 87067\n70988 77287\n18412 49481\n41248 92476\n53661 81439\n31662 61799\n83995 85981\n23624 80007\n11450 71368\n13910 37614\n8880 74978\n59227 65375\n54729 86636\n15952 36010\n20263 27955\n31771 94096\n20614 47763\n88280 98209\n69238 86578\n80142 90811\n90768 94464\n1272 3819\n36096 56010\n57560 62754\n13390 71118\n52314 60687\n6323 14126\n27838 31397\n3928 49967\n50759 79895\n29231 80148\n66866 86361\n62926 88853\n67963 94685\n8321 50086\n48028 95997\n14454 70330\n1716 52117\n13979 32316\n22014 39178\n80695 85750\n8780 32686\n3224 65014\n26093 87595\n12130 28293\n80154 98152\n16693 19322\n32615 72450\n11955 69009\n7270 36588\n25948 62789\n11989 58648\n84939 90444\n39206 71103\n16421 23595\n30274 48157\n18909 52035\n44797 81999\n916 44481\n4922 92096\n20224 35772\n36635 64615\n23970 94757\n12881 55192\n3548 31969\n41123 94965\n38342 88587\n16515 81876\n43728 92049\n2480 12844\n30584 91809\n80755 83201\n57339 88749\n18831 28696\n83141 97573\n14728 97178\n20513 99556\n35021 45667\n53112 72138\n15598 84637\n95561 98337\n74139 76826\n17696 49666\n28759 84617\n57796 76329\n14952 20354\n79609 81638\n38259 43058\n11257 95472\n24487 86491\n70202 71926\n76957 87781\n26608 64569\n74776 87778\n57956 99689\n15262 96237\n45877 57512\n39162 61594\n11208 91479\n5861 31581\n63621 83468\n37193 95130\n55952 78985\n53631 67705\n54182 59234\n19777 71917\n35243 58918\n12023 60677\n45320 60421\n37963 39819\n20602 85272\n47854 75561\n21998 23305\n49105 56133\n27021 30363\n78883 84944\n6510 91482\n32480 48151\n68848 80637\n49442 99544\n89326 98815\n26232 79787\n23207 67788\n58932 82480\n35242 44422\n17295 80040\n15431 83316\n20775 73405\n19225 87263\n51809 60516\n89193 96548\n79187 94645\n10480 58413\n14587 62817\n16345 98097\n80718 92054\n7531 35099\n15623 62911\n20743 98212\n83968 98110\n17016 36156\n41365 68589\n66019 98467\n29390 97928\n58613 77251\n41146 52508\n41824 71369\n40763 84459\n60786 70846\n7056 45246\n8935 77892\n8814 38204\n14504 20930\n13341 94096\n36857 66289\n15796 16419\n8638 59801\n27333 49893\n2063 83567\n31320 35136\n66607 92059\n8775 52526\n69946 90774\n53218 70924\n10856 90102\n79226 90910\n32001 89171\n156 40919\n18700 91695\n70686 85759\n73722 96540\n73630 96938\n61993 95086\n31919 58982\n788 36018\n64334 84362\n8467 98282\n3855 61531\n13127 33902\n41375 75556\n49361 71286\n50343 91375\n72949 81994\n38288 74290\n48374 69452\n38443 88667\n48137 74510\n39927 73506\n62167 81159\n67752 97987\n11922 25642\n10841 80525\n53693 97380\n47220 94440\n39264 61757\n30783 84371\n54422 91797\n14350 19917\n27378 38593\n39458 50809\n706 96343\n13736 66510\n7204 22701\n79191 97370\n28693 35781\n78190 99461\n3467 81501\n4484 65194\n55483 84000\n20784 47291\n66356 73525\n19210 96267\n43595 64534\n68891 99217\n59255 76750\n17362 69881\n61607 62891\n52048 90087\n73898 78225\n2505 24920\n48374 67382\n27317 29675\n11605 67836\n9194 76985\n8908 84832\n2073 41338\n29618 92919\n28129 76251\n1264 49287\n17495 81515\n58274 83398\n15178 36271\n19916 88374\n56102 60131\n27432 33670\n19542 92243\n72486 93207\n96491 99122\n9814 45527\n76805 94650\n24768 63210\n14916 82363\n66758 96903\n61148 92863\n9342 94608\n3353 30950\n50390 86691\n32227 47456\n9295 86589\n8648 63535\n8946 78914\n9065 84389\n8035 71819\n81799 92224\n5109 30795\n39391 95315\n8982 80315\n76350 89851\n57458 72580\n13893 29621\n43803 69548\n85257 95114\n17625 81199\n38170 94330\n7689 12617\n52773 76774\n8220 19353\n29686 33201\n7828 69500\n56919 61228\n51067 56923\n10290 65538\n15476 84653\n70823 75143\n36480 37916\n7531 30731\n29377 85146\n71625 79173\n20614 81708\n47472 78268\n50869 91266\n28714 78390\n51507 81166\n45730 59644\n30096 74239\n33489 44051\n43882 69216\n44833 48829\n35389 79454\n21439 59006\n82356 84723\n93778 97690\n37833 61428\n30168 97789\n35468 41113\n21129 74857\n16580 78337\n43056 85000\n58589 80602\n18634 95819\n51982 54751\n27974 40480\n31772 60393\n4274 38838\n24495 80087\n10970 46596\n39031 93541\n30133 65249\n52483 59740\n94611 99191\n35798 60843\n29777 60262\n11043 28134\n8133 28980\n7975 66063\n64887 95477\n43531 51754\n30669 57270\n9476 70618\n36706 83262\n33433 41117\n30581 63771\n51374 96599\n1042 75490\n17525 96515\n8880 59984\n34281 83448\n52926 95185\n26314 69809\n17557 73991\n8516 47204\n44404 53054\n31640 37106\n15983 40247\n2148 69247\n72203 93631\n31529 44339\n41227 62707\n9334 47732\n89699 95087\n22298 84591\n80912 94063\n46458 78860\n69417 81350\n31710 40998\n33456 51553\n7904 53889\n71130 77915\n12705 50505\n261 97403\n1183 4350\n61444 61892\n27280 87015\n11311 86686\n73831 80767\n58323 65725\n2958 63344\n60444 77911\n11736 53597\n20537 93289\n53521 82314\n69012 93196\n84149 85488\n27347 42262\n67763 88468\n25103 58795\n48135 78393\n7797 46051\n27747 56531\n54012 87246\n5962 49139\n72951 98857\n39133 57610\n18463 88385\n27295 55767\n47014 84652\n27411 95395\n28418 96703\n58750 98144\n10054 54035\n16358 78047\n78625 99928\n29577 30862\n40724 77258\n69323 74764\n4925 22200\n1913 48720\n33476 53421\n71581 89460\n45231 65032\n24925 37547\n42023 71602\n87270 94877\n31741 98157\n81194 88290\n60199 73149\n49175 55015\n44700 67475\n85581 97052\n8134 66106\n65288 86304\n75027 88466\n46495 68483\n81122 85625\n69320 76010\n30426 91408\n41148 93230\n38486 99397\n53074 69799\n8169 63558\n36634 44199\n37344 92476\n13985 48667\n51332 67582\n75902 77616\n47896 77989\n24058 40294\n28052 53521\n29822 38018\n35403 49877\n16077 69032\n35950 54003\n35974 76788\n65026 90209\n28908 83873\n22173 89639\n9292 65031\n8358 61654\n6706 27883\n38718 81643\n14797 57738\n13530 60992\n28580 51316\n29762 52377\n19059 99683\n54163 77453\n75590 83406\n28231 99384\n4069 82133\n57993 90441\n55646 78397\n5875 14742\n37074 64958\n41387 80742\n23580 73903\n26251 31432\n42355 95600\n51465 92881\n32956 53436\n44163 65890\n3041 89296\n5859 70457\n55516 70324\n4010 96249\n22391 58102\n21793 25005\n5976 10332\n31595 98495\n11589 62061\n14994 91296\n64883 88991\n30953 81111\n163 3685\n40771 75927\n4243 86507\n21750 77370\n19327 92331\n14894 84846\n32856 67527\n17146 88751\n22177 28502\n11538 91502\n67033 69824\n31097 56972\n2509 95423\n9621 42053\n60205 85191\n82002 90376\n39642 90680\n52982 73520\n67069 89895\n58307 81672\n37172 50922\n52238 85432\n42825 51030\n74869 98610\n57872 65798\n7097 13574\n7943 78383\n43697 97799\n87569 95584\n14864 49858\n54417 86794\n13629 14833\n8819 90107\n2543 27959\n40379 50832\n83153 99240\n61179 95317\n47337 86709\n492 72826\n64729 95436\n32408 32805\n74465 79925\n63762 79646\n9301 26911\n25052 47400\n30215 47742\n34245 64096\n38575 86577\n62286 73530\n42537 65311\n76166 77891\n34943 37931\n12119 70429\n20629 28919\n84347 98279\n38059 50013\n79478 82228\n14938 18587\n88929 89747\n65495 81914\n29830 42627\n56991 79460\n63740 97000\n720 70544\n57434 70717\n37403 66356\n40873 91357\n53785 93222\n69883 78752\n19388 86357\n6576 93389\n32388 68294\n20456 85368\n18947 59971\n30714 98193\n2251 40007\n42005 70207\n1184 30504\n29652 61056\n63450 67823\n75572 96688\n33901 71265\n46652 88026\n26371 66024\n11503 50275\n70574 91339\n7125 76111\n31469 96425\n13222 58947\n14534 60203\n22487 45915\n40138 69076\n7734 20858\n66037 72631\n12703 63921\n21644 61732\n42496 62371\n36654 38053\n32532 75459\n42160 62714\n5412 15180\n5074 22026\n16652 95528\n18317 97244\n9028 72897\n571 24357\n19389 37307\n6767 21601\n34927 70194\n24094 86975\n32741 49773\n41052 51161\n27135 45869\n41991 86188\n27143 85111\n56830 68162\n9070 28773\n29099 87611\n1810 70837\n13390 44578\n84301 97032\n9286 24007\n74232 84492\n80860 95013\n23005 56078\n28646 54435\n4493 81379\n32889 37441\n78964 92479\n15898 18451\n33957 63087\n45776 98620\n13781 25067\n12962 86893\n56949 74263\n34262 84704\n47127 75005\n10660 21158\n7397 61035\n29891 49755\n25860 82576\n53531 84778\n27564 96965\n12395 99849\n20810 36201\n53552 89309\n75785 98487\n58136 70706\n83217 85944\n49863 99518\n58405 63556\n616 30520\n13063 50024\n15094 37452\n71775 86769\n3975 61632\n58277 84230\n28087 85769\n68762 94098\n12009 53589\n12441 54726\n48130 76741\n18299 21881\n29584 84217\n27809 62074\n29054 65209\n29731 32290\n87596 96597\n28299 50462\n30203 61568\n47593 74486\n20188 29986\n7086 99257\n59646 77756\n37450 98141\n15173 23218\n14722 43951\n75902 81790\n26198 43581\n31626 65477\n30350 93121\n80552 90267\n37063 83357\n27470 55372\n6428 55921\n33128 92505\n69567 92537\n19606 27610\n21208 91981\n14962 57647\n33430 85862\n18881 60805\n27025 82257\n27015 87950\n57924 58162\n59601 72732\n1164 36052\n2459 33730\n17760 48056\n80113 88684\n80333 91282\n24074 26074\n6734 38653\n89455 91264\n7860 93606\n5983 28102\n57111 67276\n52766 81292\n82162 92450\n38722 57313\n45815 60878\n70963 85853\n34683 72892\n27545 98536\n42830 94876\n35473 55397\n15113 42324\n18322 83598\n82083 87425\n31399 46631\n41168 41660\n71460 78600\n83957 94155\n50997 94032\n20374 39861\n4546 23490\n19753 43728\n52511 53728\n12911 20236\n25559 56186\n49669 71981\n84766 88269\n12068 67746\n44822 45323\n27254 86230\n23178 79702\n39255 84663\n29598 68437\n34225 53449\n22681 41460\n20008 40355\n64214 79421\n25401 68332\n58316 99202\n15052 57448\n12013 82094\n20327 61522\n83988 91397\n15361 87157\n4645 95389\n24860 45407\n48902 75650\n33125 78905\n32996 36259\n38815 45009\n41983 50929\n12257 72596\n92594 94488\n41784 83161\n40535 68027\n15865 65492\n199 43088\n10093 96263\n120 678\n20474 67657\n57958 95805\n40853 59740\n2458 34325\n4310 16243\n24482 41490\n5542 66757\n63640 76839\n52471 80523\n57125 93752\n53161 93548\n24505 76733\n62955 90124\n60927 91084\n14838 74845\n5225 84398\n38794 93393\n74638 86931\n7979 30736\n68948 91303\n1912 80755\n20421 94063\n30225 42421\n37464 87961\n26922 34191\n16717 87432\n66299 96481\n72961 81263\n34771 76582\n41238 52201\n33537 68764\n24115 75656\n45429 58335\n49249 69930\n11301 35693\n2692 96525\n18255 74207\n69682 71723\n69269 76613\n24155 41386\n44435 92262\n28673 98520\n59652 94514\n43291 59946\n81833 97856\n7263 44769\n270 44794\n47372 93276\n14385 39682\n7891 14114\n36819 97494\n32142 85326\n43065 83303\n19718 95587\n39520 49883\n59270 99404\n62688 81661\n23931 98779\n66176 95486\n21203 71135\n18786 56455\n73611 82400\n9583 18858\n47740 60757\n49883 65257\n38637 88053\n17480 91777\n11943 62454\n13215 16862\n53498 58006\n21163 85161\n15486 16997\n31043 70617\n78705 94294\n15883 40739\n37057 90730\n38536 63389\n33624 66334\n19718 93113\n71939 82358\n62718 68431\n76560 94325\n55672 77479\n39091 62153\n3875 37482\n2078 4157\n51699 74356\n40735 55099\n10357 77610\n24337 92311\n53750 85942\n18648 36050\n46481 48433\n29930 88205\n30265 90044\n19068 32350\n28007 44187\n21157 72605\n50249 80731\n6526 28987\n41477 81014\n15680 39903\n12933 92316\n14720 24470\n11471 17289\n10478 37510\n78452 99803\n34271 80735\n27772 69170\n14851 25091\n52483 67532\n65831 75621\n39367 51659\n61283 89579\n18459 56478\n31190 88332\n14382 39733\n44470 91470\n46870 95695\n14093 87615\n4875 14906\n3816 20469\n34538 75023\n58469 83856\n11840 95296\n3922 93804\n16241 28261\n30577 79244\n78909 86367\n70510 88874\n43184 54987\n78052 86478\n5261 87540\n37260 65041\n25923 99820\n12402 17330\n9032 78722\n8543 94157\n73578 95856\n2959 64147\n33062 41792\n3029 8530\n70878 95826\n5839 78060\n71619 98936\n4213 85057\n28593 31072\n30307 65994\n85438 91866\n1720 92853\n70698 98464\n32412 38181\n48546 78280\n35381 89866\n39765 78523\n5909 39595\n13604 29643\n86718 96456\n5313 93591\n52132 65973\n7102 32727\n36615 83976\n26128 59763\n20430 27902\n3038 36087\n54168 80258\n32237 33016\n39325 96212\n1082 32571\n39491 87594\n47954 65072\n19411 70999\n11194 12237\n47807 87644\n56725 70216\n781 75029\n28129 72964\n26979 30118\n23068 82711\n54176 98443\n5741 16350\n35537 63560\n8715 81259\n15338 20178\n76372 81140\n18604 41533\n7608 98589\n88772 91128\n19431 41759\n16174 99091\n12207 72950\n62034 96441\n25389 80421\n81868 85877\n6098 41111\n78416 87669\n7107 94083\n68181 85737\n10787 67180\n76169 76804\n82264 93729\n133 12358\n59817 70928\n20617 22953\n45737 95238\n11079 77565\n17982 21951\n6189 69574\n31514 77223\n5016 58000\n66859 81224\n82162 87594\n7041 82021\n20411 83676\n19168 48881\n29829 30884\n32643 52410\n64573 71555\n14477 54605\n88062 95208\n13897 36944\n2637 94093\n29036 90348\n36517 88504\n22057 88286\n72686 75676\n18805 55223\n11851 44695\n49294 96740\n2105 90345\n33047 82615\n40872 86426\n42864 49594\n40792 94671\n80308 94178\n33478 57418\n13299 89592\n9114 85422\n47617 51644\n14755 78622\n60650 91464\n31204 93718\n18903 92619\n4921 43754\n42595 58369\n23335 99052\n27643 35028\n65386 84341\n73855 88144\n13611 20702\n75094 95639\n37554 42845\n20924 27262\n49782 60224\n82312 98654\n12131 65485\n22849 74639\n49101 99217\n63141 95001\n52374 83299\n50036 51749\n35278 86918\n88047 97145\n41876 42429\n36647 60101\n72317 94437\n10852 13920\n15850 55482\n20363 49223\n47438 48323\n49891 83040\n33022 90570\n51686 83898\n54479 96166\n37119 46744\n25472 87065\n44648 69786\n55564 86706\n7490 19041\n27551 42764\n19712 75557\n37205 78539\n85668 93900\n34168 52516\n22760 62801\n65471 81616\n2048 26344\n16238 31872\n1302 49082\n76889 99545\n41606 59040\n17435 95557\n27101 88179\n64003 99434\n27185 79993\n62034 84693\n34680 80572\n20018 34733\n25528 38058\n2069 99462\n2026 21608\n58185 93248\n64531 75806\n42880 76921\n19101 94075\n11322 92572\n40749 41691\n22977 88469\n39559 90029\n67788 76401\n39002 67218\n2602 21143\n69737 97672\n21430 56188\n25132 52728\n6350 24623\n11641 52689\n9334 24141\n30648 84011\n52273 78021\n14779 69635\n29742 66375\n21041 46853\n76481 77185\n59250 68497\n54822 95232\n13304 88768\n59415 77951\n3677 75920\n10169 70985\n821 49991\n45886 71996\n43001 92349\n21473 89712\n4440 48960\n75014 99201\n19427 23783\n32877 37253\n41529 86024\n12173 21627\n17359 28311\n27757 72902\n30537 97028\n36478 60953\n7030 15638\n40983 64422\n31041 51184\n17485 27725\n22105 85451\n8794 33521\n12050 86025\n43051 64398\n29186 66518\n23587 49576\n70535 90289\n11077 53846\n5389 88645\n24231 25969\n1011 8257\n15085 21480\n30262 77195\n42701 70203\n3903 41635\n26809 93118\n34076 45195\n63173 74178\n28464 90772\n11126 71328\n84163 90143\n10563 51128\n55409 90866\n291 24277\n2080 35430\n18655 82780\n60489 89045\n5412 73931\n22700 48808\n41584 67029\n9631 38865\n52399 96587\n4188 28081\n29848 78274\n29883 99925\n56462 59616\n61366 80920\n27550 27709\n23036 42549\n46819 68911\n37103 49156\n8534 33786\n3249 93161\n25531 42961\n29531 42373\n5058 62234\n53288 58098\n20464 72778\n47543 75845\n25725 56134\n16246 82129\n25264 80233\n32288 91154\n363 59816\n66209 73789\n14553 25711\n7074 86908\n61319 95057\n73592 79488\n20442 50438\n15343 78275\n4311 70627\n36823 84605\n26706 61216\n2864 77318\n12365 95874\n27033 49653\n51209 70046\n21482 26085\n19063 89201\n51794 86831\n10530 97904\n22636 57336\n76784 99542\n723 95147\n58634 66012\n75183 79154\n48056 55711\n24104 32976\n71675 98254\n42828 68363\n73993 79668\n806 6388\n21311 60614\n46000 77495\n39966 78070\n20550 76993\n27109 49508\n23952 95122\n9974 43268\n76469 86340\n19123 63041\n50591 51370\n76367 96235\n1080 29434\n56522 62267\n60322 69766\n9149 38979\n22816 53155\n3706 21775\n2191 37998\n11123 85492\n75273 88530\n19842 56377\n8598 57602\n3048 13288\n72018 89946\n39957 66901\n78925 84942\n35335 97467\n84519 89589\n47246 85377\n56529 62392\n21787 31695\n12848 14866\n43989 73904\n8321 34744\n2921 72229\n57529 71238\n65417 95025\n9088 53509\n2818 29803\n29633 40561\n36190 76353\n37637 81558\n8232 98402\n21860 72320\n18862 69580\n47854 77563\n81314 85901\n7027 65019\n17137 54433\n6276 65320\n7875 29261\n43113 94851\n77994 78769\n24696 68003\n27392 58219\n54757 62504\n52401 74494\n14827 51206\n66853 73705\n45301 87745\n47607 66229\n43621 83579\n3266 11244\n5977 47822\n5592 45469\n1757 82938\n11306 18336\n42173 57785\n37509 42275\n51314 77282\n3789 72582\n5150 41371\n35734 50611\n916 20673\n21894 59223\n6130 48287\n30223 54151\n20158 83990\n72294 87573\n63445 78110\n21484 93287\n11147 32365\n7234 81456\n3135 82084\n26891 75378\n50311 75072\n49626 59935\n1917 70625\n73785 91766\n51532 64679\n29459 36198\n6052 34802\n14398 24727\n79747 86208\n41364 87870\n5278 37595\n3386 29272\n77144 82631\n60472 75635\n4646 88718\n53426 58807\n11882 21089\n21827 41539\n79469 96215\n40448 49500\n44615 60059\n14531 76066\n59211 99087\n36234 55477\n20195 39106\n52096 55092\n32054 39142\n37524 80666\n91193 94575\n4184 62318\n14788 15151\n71095 94418\n72963 95008\n63760 75116\n67492 80196\n67639 80172\n20197 56070\n30964 81486\n16330 96685\n10178 77968\n31705 57574\n44858 60181\n43621 58534\n20573 38219\n13303 30052\n30985 43414\n50026 70913\n53889 75654\n8618 66724\n27726 73633\n35046 83817\n34656 52611\n15764 42279\n10405 50401\n22724 98465\n9821 84877\n34366 70152\n44929 77160\n74346 81269\n9001 82197\n54827 58939\n46903 71521\n14959 88946\n32841 40519\n8153 23958\n50042 75692\n39785 59031\n37624 61897\n12992 31194\n54134 66375\n5403 43810\n17525 45675\n38876 81524\n14814 30804\n64350 99495\n4015 30077\n6620 62045\n7291 48241\n25097 39794\n23496 47253\n55905 84532\n26131 34401\n5308 85816\n42579 73304\n62906 93382\n24568 65368\n5978 52492\n78114 98302\n7833 41459\n36944 72431\n29940 64439\n5499 84620\n6930 15446\n19474 57677\n19195 92506\n10483 55914\n11443 18639\n16708 53316\n24465 92525\n14685 16539\n12118 93501\n77970 83600\n66922 90028\n50328 75397\n10414 16474\n26641 95667\n76568 94364\n34390 84586\n22277 41762\n49450 96005\n11978 67730\n18480 34062\n47989 48213\n46655 90286\n18769 59740\n1516 89778\n80575 98214\n85903 92859\n18812 96414\n4673 39956\n56008 64538\n76124 78492\n23154 53489\n56743 75679\n996 5022\n29520 37268\n90925 95596\n7535 43407\n78234 84794\n32761 95408\n51872 73392\n45033 83388\n79454 83915\n72680 86738\n21179 50608\n9809 17804\n17559 92842\n43901 88366\n21797 36109\n20112 67645\n4730 35712\n10597 20727\n4683 48957\n3831 6181\n40286 65866\n28237 76073\n12013 95951\n65127 71410\n27864 89105\n39435 58670\n24409 57653\n27277 60965\n13927 79601\n10655 73347\n32068 69828\n20383 66928\n31898 38530\n56021 75566\n28793 80605\n30390 95059\n52805 57300\n26025 51165\n99376 99990\n5713 42712\n18553 93858\n29575 38286\n4631 43998\n73082 92017\n67527 97183\n7123 18119\n4949 97404\n39754 85444\n40105 65624\n26609 73618\n4768 94194\n21436 94598\n23287 91926\n28955 45568\n69533 70529\n37750 48071\n48670 86370\n43011 66825\n44135 64435\n45580 95475\n29136 94418\n15254 65119\n12385 40253\n53516 86579\n46369 60992\n51538 53370\n10662 78006\n22529 41210\n10452 43628\n301 73558\n10241 41328\n75352 85850\n43127 92472\n62071 82777\n7262 33170\n27698 80383\n21959 72379\n16193 57077\n76683 95693\n8447 99557\n992 68187\n37274 76185\n6346 53926\n66092 87658\n64145 88903\n2833 38852\n56825 98044\n9098 33064\n62407 87174\n8301 93373\n29030 33382\n90338 97233\n58467 67429\n11785 45482\n9397 65600\n32960 48547\n34612 38426\n58896 90092\n49996 82750\n33376 51441\n57624 81663\n15521 56611\n17199 17710\n11508 38765\n38476 86351\n53646 94922\n20575 42850\n12556 70451\n18398 65603\n6411 29769\n31848 39032\n45329 94545\n39370 68534\n9581 14931\n70670 96622\n33993 67983\n54260 55494\n7526 93990\n35623 58133\n5690 99448\n60264 73769\n6620 89083\n80898 92854\n31703 97643\n6050 37710\n79896 87527\n17549 70904\n50721 55024\n30627 99349\n54542 87844\n55827 65975\n14306 20695\n33153 67940\n19606 29170\n86976 90671\n10559 51547\n15488 32986\n11502 85512\n77166 92688\n54543 70833\n3809 63264\n7981 9560\n12555 91023\n40614 95913\n38625 72123\n4072 65242\n24057 32401\n45641 60648\n17680 19108\n4906 14420\n36641 44997\n60126 63188\n3803 38707\n14507 33942\n16293 98373\n6188 20840\n26946 96421\n81238 82384\n38835 98114\n55561 67552\n34054 92537\n2695 73700\n59214 69453\n19899 45582\n34977 49582\n17741 87675\n61275 92163\n2782 68241\n13574 20395\n58037 83213\n28208 36841\n7897 31051\n35222 87694\n34844 42269\n55397 57961\n35212 56628\n34325 79410\n41307 90862\n72205 87727\n29938 96937\n29127 59336\n39727 57887\n62947 68903\n14420 86749\n14112 91859\n15318 95058\n50079 75250\n51184 93666\n30691 40519\n47267 59580\n63502 99059\n51411 68578\n53493 84188\n2805 24281\n32291 69405\n13383 53118\n41955 98265\n30302 77008\n2531 49837\n11781 58081\n75428 88631\n87328 96973\n13286 58544\n8732 63075\n39933 86905\n1330 77204\n31782 73569\n8984 31223\n27901 64957\n65713 68578\n49927 93984\n22968 50247\n5782 81171\n42051 86552\n12748 49581\n39227 67246\n77569 93744\n21541 47846\n24124 99904\n27479 94437\n124 13518\n10533 16213\n60968 99794\n70206 80140\n13009 58499\n28681 44285\n18007 20631\n28356 80948\n11522 48055\n25145 94890\n8450 88370\n63466 90963\n96626 97019\n40595 80371\n50114 91378\n5528 79963\n15487 91812\n50060 84026\n7822 71895\n163 5955\n85188 98738\n46908 93671\n15501 46368\n2470 46823\n42413 62656\n47007 54374\n50259 91499\n77394 95213\n6848 20501\n44608 90777\n66043 69614\n50809 92689\n41912 98955\n32969 83415\n70533 93540\n33221 88151\n33145 43742\n3095 39504\n10469 11624\n7457 48155\n12902 24009\n25500 61384\n7658 63203\n22207 73104\n14064 71288\n22933 51683\n33252 60079\n1924 41610\n5346 80434\n28951 52889\n12406 28757\n10161 36912\n27732 37678\n32085 91692\n10744 72697\n44382 54469\n63607 77578\n2304 80325\n23561 29681\n23820 27945\n28750 85349\n50760 68595\n56417 58522\n5685 5970\n3692 19858\n61982 70085\n26390 60269\n68576 92272\n19830 63236\n44030 72177\n79836 95298\n15402 47455\n1321 59000\n6087 53088\n21859 36409\n38179 46684\n39139 49697\n19310 79548\n15969 84642\n12989 36811\n2919 22799\n52906 88345\n54543 82843\n10239 46388\n72207 76565\n6553 45685\n44070 89354\n163 44481\n41492 53484\n9442 55300\n8762 46134\n1224 2349\n11458 69818\n9808 95512\n59642 71065\n87489 94637\n65165 68264\n67191 81834\n41066 42866\n31251 45643\n10546 24778\n22354 84619\n8020 29562\n27244 86891\n15628 95544\n67013 91353\n25769 51590\n88686 90349\n41611 68059\n87515 99985\n44783 59496\n16527 49899\n58333 59112\n6237 85425\n18385 91310\n49938 92836\n31173 40981\n24227 40110\n58781 89825\n15997 24400\n17404 60267\n28036 41816\n57960 75610\n21783 38897\n6440 21989\n48456 88415\n22886 98395\n77060 86712\n40445 97809\n19892 56061\n22207 81033\n5980 78179\n18921 81491\n19427 78936\n15532 89243\n75131 92133\n27088 82261\n5415 88578\n60874 82322\n59178 79861\n33895 39776\n64036 85377\n546 78015\n35733 77769\n66416 81362\n8087 34707\n48607 55196\n5095 99157\n81258 86079\n10384 83107\n28183 59122\n61654 99851\n38253 42560\n8593 38091\n57782 96684\n91458 93740\n14323 20379\n25534 35929\n2351 67164\n14646 73049\n72103 93487\n12057 87071\n8966 68185\n41198 88378\n46025 48672\n28327 89241\n60252 66190\n9531 68560\n87246 97669\n31227 74376\n49442 53708\n68483 93159\n31894 69765\n23252 63061\n11396 20740\n62205 99461\n66472 90429\n40018 70465\n29575 91201\n3082 73153\n58864 88347\n2565 52675\n45952 87909\n80339 88155\n38896 40156\n48019 73589\n15445 96428\n18819 80290\n7979 41428\n39239 66341\n28765 97083\n59593 99673\n16406 47339\n20138 80241\n13310 85163\n14181 92020\n53001 78210\n20591 44161\n22875 75554\n53340 59324\n46889 81044\n46411 77930\n49271 96421\n48481 50223\n51 31949\n37022 78834\n20557 29358\n43681 54244\n30321 49768\n11475 37947\n42589 62620\n40957 73203\n62890 89098\n66567 67095\n50018 84877\n16535 75910\n31112 38432\n7390 36263\n39870 81936\n42091 89146\n51171 74729\n3120 57904\n63341 63905\n414 97857\n33687 91275\n2662 86953\n24408 27616\n51019 62200\n28753 93598\n5932 64940\n15677 55805\n25699 28242\n5879 24464\n26961 63133\n21787 57020\n53490 54973\n50160 64945\n5738 32864\n35308 46463\n24306 55590\n79557 80586\n10348 85220\n70667 83526\n250 22336\n40032 83590\n3709 87336\n2943 13014\n36929 47832\n35231 73577\n35220 73771\n79437 92070\n3028 8436\n32580 36725\n17494 94782\n37844 66281\n50254 58834\n70414 93162\n29090 47009\n30252 68575\n41 23745\n31644 34343\n54161 98598\n4534 12940\n59008 90310\n22447 25607\n957 54876\n26049 83821\n26978 47395\n43698 76207\n41770 80857\n5555 25046\n59309 90641\n57062 57931\n4026 8399\n18985 19607\n25783 85700\n9368 73594\n78121 89933\n11403 24918\n14354 29219\n80088 97457\n83398 94123\n2562 32036\n13122 88914\n4908 14342\n23106 67362\n37955 72106\n52440 91079\n53282 66874\n3028 77701\n21964 96914\n47295 86932\n4015 5170\n23768 51103\n44696 85636\n8907 47519\n57984 83608\n57171 97432\n14366 90828\n89225 96891\n29360 76964\n11561 48209\n60237 62556\n35574 61583\n36856 68300\n34339 77504\n878 75760\n8170 48234\n13226 44523\n27202 82592\n1256 72142\n13870 24521\n20728 73881\n6239 64535\n26038 83941\n28219 37400\n67259 77905\n49860 87308\n7161 43701\n59191 88747\n11417 44278\n39827 68031\n70822 85363\n24162 94703\n30463 39009\n16137 82655\n8288 58394\n32458 98440\n26889 54589\n11308 79655\n33859 61532\n24561 93667\n13677 40488\n4909 14612\n40246 82441\n62675 74674\n74138 98776\n16507 82084\n14412 49349\n61648 83456\n21990 70697\n49481 92076\n16266 33063\n14802 70804\n46685 90042\n41355 43950\n60511 83953\n23969 90413\n25247 74915\n8693 93035\n36802 67249\n56406 72727\n73044 88627\n11705 81630\n21232 78903\n50161 90622\n52110 68483\n41965 76428\n41351 93268\n51153 51767\n69540 69704\n85457 92186\n14845 65534\n40659 87967\n87421 92796\n61664 84990\n17807 82843\n22722 96296\n35966 79772\n71986 84074\n46768 49594\n26620 47685\n13847 79851\n74499 76893\n2541 67144\n25394 48284\n23596 43491\n22762 57029\n37220 98578\n41738 45415\n46550 79709\n61549 70083\n66614 82909\n645 24435\n21690 92211\n50022 81706\n22780 61785\n64778 70607\n17098 24415\n21086 76102\n26202 89499\n68743 91725\n78115 79000\n52317 54999\n58227 76964\n41279 77870\n79793 99418\n37103 71716\n7735 75246\n20589 53411\n22020 44495\n23923 53766\n35731 84714\n21947 21985\n1740 71838\n61075 81539\n57466 73832\n92115 97957\n7495 9204\n12576 20626\n4194 24219\n11152 33721\n69384 87831\n67043 82944\n50049 62213\n55811 62721\n11165 59771\n25878 66463\n30324 92495\n49830 60676\n34943 57728\n38426 54197\n11981 84761\n45271 77419\n55720 89784\n16765 53298\n19100 39242\n22644 56839\n41281 95828\n81797 90383\n48537 82878\n5666 17733\n22728 40567\n56846 64480\n74182 79708\n49207 90961\n23678 73435\n2008 44385\n22519 86436\n51181 57720\n64572 84984\n26851 95619\n26999 98210\n33504 95832\n50404 90632\n54706 88037\n59532 89505\n14210 70298\n27441 39837\n7328 95655\n4896 34024\n15613 72426\n53772 94219\n31073 57761\n41757 96831\n83841 85694\n23434 34894\n44913 72117\n1466 81793\n33089 49363\n58843 95147\n25502 72827\n65438 93349\n39450 47601\n7492 31459\n13780 28830\n80213 98801\n15259 56515\n15935 50160\n51823 96794\n19913 72855\n26154 53216\n3028 70757\n59326 80680\n24374 64143\n37930 51230\n56574 62557\n61851 90711\n415 48060\n59678 91584\n58181 92203\n11985 99184\n46946 92517\n26056 83302\n67161 76486\n14067 18459\n16113 18438\n23681 90318\n42327 51550\n60649 77183\n60409 74556\n24943 85288\n38065 56454\n949 42581\n43019 85133\n46918 97031\n13748 30896\n41413 88199\n16276 46707\n7363 89245\n47121 96319\n22174 59874\n25854 94305\n48052 80751\n15611 27264\n453 96627\n8668 31253\n1009 73438\n39702 53940\n41009 43998\n536 61124\n51288 88371\n39039 53231\n62179 71605\n344 33304\n16607 31458\n16499 40618\n35400 69717\n8509 40020\n36580 52924\n68325 98415\n54063 61499\n33226 84875\n58626 92181\n4090 29922\n76006 83648\n15073 38800\n57577 83461\n68376 98541\n56899 97488\n472 37466\n38324 84084\n1486 91285\n30311 58767\n5171 30027\n49183 70788\n41107 80930\n44347 92922\n819 43542\n18453 98357\n15230 84073\n79826 91503\n64211 71668\n59869 95950\n28302 61757\n14512 22057\n21897 43728\n26656 28382\n19733 76407\n77151 77940\n51050 81551\n6875 23265\n79048 89535\n16604 79228\n15995 70178\n15907 31416\n14618 93941\n551 52391\n70610 86848\n56086 99982\n9237 31267\n45105 68792\n857 78811\n74503 99342\n26787 34024\n57510 66121\n14109 90376\n55233 58766\n14563 89648\n10919 20149\n44509 72004\n42645 46909\n37223 83634\n69868 80746\n44491 44503\n62064 65587\n19017 36599\n3185 51821\n46827 88828\n9088 57676\n50570 95372\n25623 54391\n54624 90419\n23117 85098\n10837 44010\n78462 85242\n37521 43800\n11145 39632\n11607 80106\n4306 65682\n5241 49987\n50828 52395\n45737 67504\n64499 94545\n70402 77890\n21338 55478\n18321 53754\n5562 53024\n29218 91214\n8823 9552\n7421 90006\n7436 34309\n16881 84028\n24977 63218\n19117 71994\n44844 63646\n72085 88601\n61661 90288\n59894 91471\n15951 58136\n74774 88354\n85547 87638\n26811 27536\n32724 96824\n46797 84537\n34141 86603\n4852 41738\n25348 56641\n65112 78042\n37603 46929\n12089 88425\n21372 87861\n51966 75962\n45121 95831\n69711 76810\n47683 91969\n77474 81424\n20614 68830\n52329 93723\n11635 69491\n26424 80990\n23418 28429\n5420 68191\n13051 78232\n53132 84413\n19977 86982\n14108 98209\n29524 41164\n14638 91603\n69194 71057\n47336 77376\n32821 80934\n2348 54283\n11588 16932\n2399 25843\n1349 2186\n23740 74054\n59341 66364\n71160 79173\n75783 88476\n37161 64598\n12170 66685\n36092 79020\n6917 63802\n31219 90022\n66282 74713\n64363 66066\n633 80986\n47388 73395\n7201 60689\n19234 87042\n5122 18830\n46443 61837\n45728 76589\n4172 98550\n76302 82905\n62719 83976\n63504 97080\n54495 75144\n78060 93661\n40270 62113\n14731 22008\n94768 97906\n17585 48285\n23904 77378\n79604 96644\n40327 51125\n6114 50650\n27920 28788\n7538 9328\n1862 68325\n11285 58889\n3587 19920\n35710 73150\n83780 85393\n24698 87891\n53603 60678\n62870 62871\n39208 58659\n22434 85518\n20038 40205\n6656 17958\n35188 39629\n43213 53993\n18673 41650\n59786 60949\n58734 95975\n32449 36360\n30114 42043\n71881 95063\n23813 40663\n68024 76590\n23761 80224\n46847 76351\n7085 82413\n18832 19823\n14003 48099\n4180 58740\n25698 73244\n4605 59902\n10664 51606\n563 37433\n60620 89758\n67667 80886\n1555 56304\n60412 62094\n6809 20636\n680 29908\n2274 68925\n6154 74151\n51093 68664\n1906 86324\n63703 71849\n2892 13532\n37247 49634\n67079 93023\n861 29691\n61871 68821\n54448 89350\n1353 33849\n74307 92651\n13072 80510\n36794 86779\n14454 83851\n48864 57179\n6263 52067\n40724 42465\n43453 71546\n41019 77791\n6683 52795\n31069 87196\n68868 94092\n6116 46301\n20783 43386\n24841 94504\n7308 81981\n16712 78411\n90738 92676\n12770 14297\n27336 80439\n26476 70287\n27142 78840\n75169 77443\n42586 56585\n35694 87152\n13390 86510\n60699 87084\n17576 70793\n31310 73603\n27171 71740\n9803 57693\n16598 44130\n6825 54092\n73676 77611\n3805 72098\n47501 71962\n25904 58769\n36101 99973\n16192 38548\n25097 40658\n10647 43138\n89379 96525\n7621 95749\n89673 97881\n73000 96834\n35983 85389\n60779 89139\n1714 25511\n31777 43441\n10716 54681\n44727 51669\n12214 46313\n59142 73558\n17778 61992\n20488 56721\n17644 71824\n11953 99370\n44788 50671\n4723 90537\n37881 70596\n79397 82778\n78896 91908\n56183 96868\n48737 84206\n8259 62655\n7885 71358\n4448 36596\n5432 99233\n9065 14914\n3997 90239\n3637 16732\n31778 66068\n49023 98750\n2098 82257\n13327 34469\n89281 92362\n50544 83736\n53451 76922\n66165 92093\n17136 21232\n3802 72200\n53253 80150\n48105 54508\n20576 68420\n50840 82588\n16971 40507\n17335 71328\n47001 97181\n30708 51351\n41948 45913\n62048 97656\n71814 83670\n93440 96888\n10151 26594\n7110 19280\n3336 98616\n52950 67590\n12590 79634\n394 77421\n42514 76750\n54860 83993\n49364 89606\n4282 75473\n20917 58747\n4531 8712\n56479 79046\n6176 18367\n19423 98079\n59981 67195\n85508 93393\n1180 35714\n44277 79297\n1793 97121\n14588 59923\n12444 76319\n6038 8916\n1214 57408\n69781 70669\n5077 20795\n14024 68270\n52954 89815\n54093 63441\n55358 59879\n24035 68073\n32391 50839\n11820 81238\n191 79549\n27843 29344\n40733 44455\n49461 97370\n48013 78269\n22204 30455\n34007 77021\n12296 25451\n17126 90330\n1743 67988\n59029 77925\n46651 47977\n29599 93422\n23465 53594\n12243 57262\n34887 50832\n5953 58412\n12756 79014\n7659 30774\n7859 27071\n90961 98246\n2056 27311\n36586 85447\n40477 79195\n11087 86522\n36936 79931\n19116 74487\n38446 38820\n39563 63910\n6542 96741\n65481 88503\n35041 87709\n32 44054\n12608 34025\n86395 98980\n13504 23469\n66643 81219\n25956 41053\n27775 64530\n22844 83636\n12904 59549\n52093 85017\n6865 36313\n35070 56019\n54872 78855\n62134 64198\n67994 70009\n35428 62151\n2053 98402\n61494 63838\n34265 34927\n17779 82173\n13165 99862\n26929 74232\n47760 89990\n54770 57622\n29716 30352\n7125 37213\n28022 57397\n28659 36661\n3216 32820\n5760 33322\n58905 69241\n39876 78022\n11651 83686\n36043 97748\n39175 93883\n69602 94546\n36525 43554\n21340 26853\n5591 11433\n62391 63372\n4993 79282\n23155 49779\n61458 77435\n57396 88598\n16973 55862\n34516 79703\n47982 74167\n31099 55019\n54321 60397\n34341 50173\n43076 62337\n57803 65080\n39600 92247\n42514 83731\n48741 81964\n8298 27672\n71448 80839\n25673 99103\n31829 90030\n60742 80654\n45227 92325\n48068 69256\n21051 36888\n15575 39159\n8833 87150\n12189 24354\n6666 11429\n31414 49726\n32654 93072\n4237 16584\n42243 62584\n7076 87556\n65254 73157\n51857 82544\n43043 85101\n12332 65164\n60139 79967\n74234 97920\n22597 65831\n80638 92171\n47956 78158\n2387 35126\n69603 75644\n38056 97896\n15045 24955\n10458 46710\n1979 11096\n911 21654\n34779 50826\n6653 89834\n1133 19683\n22280 24016\n57066 78172\n8436 67339\n33596 51350\n63020 77788\n56424 74726\n58382 81976\n59563 66863\n11415 46727\n15564 80732\n23084 51838\n9696 26603\n30296 94686\n54961 80033\n47558 98185\n8671 19085\n24560 62571\n42930 88710\n6257 42363\n67337 97552\n15996 70272\n533 80460\n82319 99644\n8163 34732\n14570 44706\n35450 73515\n3050 7838\n13654 14940\n22063 41532\n35440 92024\n12423 93378\n36924 55403\n58817 85910\n60956 61160\n5153 59205\n33312 37089\n34548 91548\n44137 92387\n16966 30339\n38913 47171\n29780 31780\n42859 69731\n43308 80429\n10548 63479\n76709 77913\n9823 57988\n19540 60637\n49632 91549\n40922 99681\n6536 10224\n84482 92212\n37144 59067\n53555 92638\n63764 67535\n66568 75633\n11038 54790\n4557 60025\n31629 74899\n10971 13142\n6151 48457\n35158 58401\n5497 83882\n36459 49409\n24212 88304\n89696 94186\n13249 67212\n25911 62829\n67532 71928\n64969 83673\n2546 99016\n39828 67564\n214 77424\n4658 11159\n883 99955\n26660 80741\n8307 59557\n25326 31926\n16426 98353\n32873 66161\n30805 79729\n94990 95149\n11472 98635\n52494 94360\n62989 98177\n56498 64582\n6831 61700\n7095 23075\n39815 86600\n44743 93073\n89086 93772\n87246 93487\n60650 62897\n10063 83972\n29871 59393\n57670 65212\n5714 49063\n20604 76804\n46650 83383\n16625 97617\n40120 95054\n13256 16525\n64612 99391\n9059 15572\n40356 47975\n11307 45187\n15094 38151\n79738 80404\n7529 60889\n545 18745\n33682 80733\n73356 80858\n22848 35088\n3983 85780\n7458 30138\n19068 29378\n5776 98457\n14965 54763\n52501 64214\n64560 67474\n16264 90324\n35487 92612\n4421 62210\n8188 58796\n29810 85278\n78129 83035\n30631 80867\n25504 50026\n1882 2551\n58436 85266\n72193 81857\n41169 72452\n82289 97142\n73206 94978\n9617 69731\n24456 62434\n63797 68036\n15556 28303\n68449 82037\n58121 63423\n11755 36810\n42419 48206\n40618 56139\n20690 48520\n6855 96997\n36245 54292\n29783 75232\n22531 76736\n6689 65186\n11563 57814\n2170 49568\n21501 25260\n13085 66023\n73330 89212\n6748 49752\n37004 62718\n82735 92916\n39473 81187\n4790 41295\n56247 98577\n28380 66279\n37054 80698\n15218 64230\n85425 85550\n85340 87768\n48777 59165\n24023 51169\n8788 36215\n29304 43940\n2341 45295\n40852 70148\n26029 60732\n18866 26817\n27876 47787\n44081 86548\n36245 65267\n54531 78748\n16092 17958\n2442 83783\n26152 50205\n4707 15130\n65624 95947\n27561 58529\n23843 75398\n57423 64693\n32051 52808\n76529 79553\n43592 63467\n36914 51552\n16578 47925\n18898 31445\n34960 68511\n24455 61921\n22533 53513\n16185 89523\n86103 99706\n12047 59079\n36995 97989\n22171 91667\n18135 82028\n40647 97542\n16618 72750\n91723 94163\n73573 78986\n40512 69697\n29943 48179\n10426 27358\n28061 85511\n65713 83501\n5789 55788\n18241 52590\n5225 67972\n88019 99947\n15593 36039\n41061 99383\n68674 70730\n71448 71655\n72594 95743\n52344 73296\n57495 82458\n27618 58859\n73386 87990\n36936 45497\n44710 52986\n26669 56867\n25189 58758\n23095 30133\n71365 88811\n1540 61297\n41226 54068\n1561 75606\n16497 93110\n63498 83535\n23592 38673\n33362 70674\n5354 83660\n59848 89084\n7103 72737\n20293 40897\n55647 83314\n54866 87624\n42135 58126\n26188 41305\n1090 52368\n35775 67779\n21120 40777\n63687 65662\n35870 42224\n32327 33180\n34057 69249\n37637 97935\n26117 96964\n34579 66148\n5119 35998\n4831 34636\n600 29358\n80005 92369\n18646 42595\n59324 74154\n15288 61680\n35277 99090\n44200 64313\n21427 55477\n19209 25118\n30001 49489\n19168 38475\n17115 42831\n11246 92228\n9237 73973\n9847 57959\n93234 98996\n82121 89828\n42692 53784\n3789 9078\n67691 87499\n12617 84004\n7417 97758\n29752 47453\n20201 28491\n46342 55439\n7721 91599\n61438 80277\n28281 29301\n23125 53063\n54573 97249\n47144 71140\n19172 39002\n62559 89232\n30817 88002\n74198 86521\n14008 91155\n61445 97807\n48744 88825\n6073 41877\n7496 54859\n8969 93070\n20063 32048\n72421 75496\n3697 91963\n34044 98174\n56689 60881\n2565 99296\n31830 94713\n69108 77123\n43034 57370\n25154 73125\n10015 70636\n23323 43983\n439 81917\n5873 18487\n19752 27027\n78126 84693\n63217 67541\n14254 50788\n72946 76173\n13355 19052\n48541 49404\n3384 65229\n68019 74138\n38092 56649\n93489 94091\n25195 58493\n42303 86346\n19519 27112\n13825 33807\n49827 79511\n31716 72590\n23273 98896\n16976 63137\n48653 57124\n59319 69091\n38348 85973\n1275 38579\n16405 89159\n8149 37028\n38742 57056\n6040 70440\n69847 71655\n33000 62421\n570 51918\n50228 69284\n74301 97444\n5949 48097\n690 84782\n71 92595\n38835 48578\n57964 80859\n3168 45069\n36663 82865\n40289 65039\n38357 91971\n23311 41044\n58354 75163\n49189 54935\n5458 44158\n57739 88561\n14461 52501\n11540 79979\n32739 73037\n25085 51248\n65222 73603\n58107 79425\n47024 49215\n5575 68210\n3790 29437\n4314 19147\n15841 54564\n7535 92441\n4405 83223\n42828 64736\n13309 99757\n29967 88225\n65522 74612\n4201 57003\n33064 77576\n68690 91854\n48704 56792\n19724 65449\n27828 40133\n21426 81407\n26203 33713\n79106 79516\n54168 54199\n45233 93654\n4968 57872\n48145 71129\n3311 79078\n13476 61339\n37167 94671\n11442 32133\n11157 50503\n73205 86323\n4787 93129\n13548 83002\n85750 99326\n37229 66177\n81804 96051\n14842 80278\n47676 97445\n28289 80072\n10564 66082\n69269 87080\n57034 75830\n19816 81718\n56691 58474\n21943 74853\n81065 96824\n62830 82633\n2884 49114\n90257 96802\n2024 70794\n73298 76885\n43283 91188\n17933 77094\n51364 63052\n57614 76409\n15969 28424\n24060 90028\n46706 53774\n31288 97256\n19472 23989\n60317 83079\n1421 79139\n30242 97867\n18800 20577\n21901 54431\n31641 40841\n11681 20333\n58451 71583\n9919 85750\n84009 84056\n24790 30700\n33872 57596\n27356 51094\n23059 49396\n34189 67171\n55583 58186\n49480 87826\n53129 81215\n12152 71958\n79115 94552\n35747 89369\n48208 94964\n57862 75645\n94111 97537\n47117 82591\n23093 81870\n17352 76808\n357 57294\n52564 56886\n33157 58517\n61899 98907\n35558 97945\n76560 91806\n15344 82683\n23091 94126\n7330 86779\n25762 36748\n3812 32609\n36785 82673\n84730 94546\n26907 70166\n42588 46007\n42549 52358\n43836 48281\n45741 83051\n33029 37170\n62463 90624\n27383 94749\n41558 72519\n37273 41473\n24785 66648\n43243 93456\n49703 90310\n23257 71353\n79354 79445\n24779 63139\n44202 92431\n9488 18945\n43058 45881\n11134 78105\n12707 14314\n73985 91013\n28633 75919\n11997 60632\n76219 84127\n7146 42257\n78968 96587\n3714 52555\n6318 36243\n1178 79849\n81360 90837\n68808 78371\n43081 94542\n75458 90102\n33950 56600\n17941 35990\n27038 46651\n29392 31692\n67671 97624\n49011 92669\n31392 66369\n62971 63879\n61917 90828\n40339 54582\n39276 45476\n23219 41450\n21710 48001\n2470 62107\n17360 97986\n2694 11166\n41772 65953\n53779 99612\n17102 96141\n73359 82860\n66615 86699\n7480 73831\n27246 45484\n4364 98037\n19780 84024\n2757 94510\n11195 41250\n25772 34684\n2915 71919\n37262 38931\n59330 92377\n23324 87981\n13317 26585\n73092 75916\n60987 93012\n6128 56246\n4003 45176\n19508 37942\n12324 47885\n49392 84279\n34429 60193\n31487 81552\n79424 90236\n14586 38245\n40632 75014\n39141 46942\n3156 15437\n52133 88326\n42575 58193\n449 99376\n8234 54276\n77369 96920\n769 14808\n9264 40638\n91212 95153\n23322 94326\n7773 84026\n47352 84140\n18510 95716\n9696 17953\n27401 38187\n91897 96786\n30925 74469\n25595 92346\n19572 28251\n28923 57847\n11747 76027\n66020 95496\n13647 28606\n10436 51893\n22384 64973\n50406 65667\n13677 76566\n68352 86057\n22234 51571\n11180 76199\n82435 98790\n10204 20187\n33937 65489\n54558 78729\n4527 22030\n30983 59685\n34840 99443\n13082 95942\n20143 57197\n45599 82980\n23101 98540\n46742 60971\n52169 73207\n24614 32943\n37221 84864\n7766 20789\n38170 83808\n57732 64552\n62671 85036\n82079 98831\n41148 63926\n12664 78936\n8486 23224\n3639 43139\n2997 87785\n15500 71428\n58610 71128\n27452 32284\n13923 92226\n31010 32060\n80857 95407\n57560 82293\n10987 65751\n55995 64501\n14873 20941\n2559 79303\n28691 99401\n42018 86922\n7499 63415\n16855 59037\n218 47404\n62566 98301\n52573 85733\n2214 70800\n35614 99067\n9183 36401\n13838 49444\n19672 21368\n44244 88349\n8083 76304\n14227 27856\n17539 59030\n12239 49453\n71421 86390\n63490 99445\n55463 94372\n24244 61686\n42740 78619\n77307 97873\n35806 96487\n46 43851\n6193 72041\n21170 78416\n54558 78639\n42350 81031\n23718 70106\n4361 82083\n2269 61383\n816 66868\n35967 82465\n49948 84583\n38196 41365\n8114 64319\n75482 94555\n13163 30165\n639 55925\n7573 11358\n42388 59761\n21639 26906\n11130 80879\n14265 22487\n49290 52508\n13260 53142\n65608 97519\n7131 92822\n52858 86258\n19530 66349\n72381 93608\n22928 91865\n21177 59209\n12248 31478\n607 69909\n24848 32272\n23165 87921\n2009 93516\n57802 65379\n53523 59388\n8331 9412\n70135 82654\n45401 93885\n12951 27778\n767 33436\n33821 53941\n6563 97023\n49360 89021\n955 43093\n57758 59088\n27041 42490\n45849 50572\n75184 86033\n11623 88889\n44550 57594\n6601 10668\n81731 96301\n43806 68708\n47633 96682\n32152 75581\n43866 70500\n39957 84772\n8416 55966\n35324 69949\n39960 47955\n13024 48176\n17827 64719\n20834 29670\n13159 86501\n65340 71482\n15181 44637\n17081 80997\n51787 79446\n10526 68813\n5434 72000\n31868 86222\n17130 75120\n14172 14676\n40905 86843\n48940 91177\n47117 71197\n21393 61361\n8331 19534\n44453 68453\n53571 69339\n12758 14593\n22069 48193\n51277 68541\n1953 7664\n1785 66711\n18901 37892\n79035 82828\n18744 53918\n47544 84319\n13018 26289\n57521 83195\n17903 51890\n85212 86347\n12634 54358\n16245 96989\n1735 54744\n36634 48745\n47780 71203\n52233 90219\n46232 65010\n195 62478\n7182 88913\n34629 99897\n47845 93879\n34835 44462\n37457 97198\n3494 77963\n21296 95972\n42765 58683\n7178 33435\n10974 22378\n38534 95255\n36415 39169\n59764 70179\n11126 41932\n54499 77884\n74603 80995\n55906 59248\n28313 68260\n38674 72846\n1011 62418\n15857 25380\n25900 69466\n74658 74966\n26038 74883\n72352 78843\n30364 66830\n9854 32339\n17994 35225\n7888 15040\n4722 19561\n19619 41417\n46784 84112\n26407 81165\n39393 75210\n87800 90610\n80909 83503\n21486 82177\n85781 88698\n4685 14230\n1898 38705\n31326 58604\n12322 66153\n1371 96016\n48485 57504\n11490 63720\n37067 73958\n9413 48338\n34491 89684\n8839 72638\n41217 85425\n18845 55235\n16254 58503\n42725 81922\n1254 87508\n20627 65058\n13808 13878\n85332 95561\n46605 88204\n52247 95203\n15659 93137\n63610 94894\n35096 70056\n15033 96144\n48640 54968\n12851 61860\n73070 90671\n25086 76534\n84413 95877\n74111 78311\n27624 81443\n32291 79755\n70416 70818\n36557 94299\n6387 63656\n67216 86145\n51678 57100\n11761 82509\n5419 37852\n59968 60016\n44324 90794\n12176 92355\n38167 58762\n12536 47292\n25010 94714\n45552 99562\n23039 74956\n29654 54282\n69145 92589\n21046 37541\n8489 63797\n41089 93773\n18602 99316\n71035 78418\n15340 26565\n4552 27454\n6615 59322\n44793 98873\n19863 59240\n22915 83914\n33767 98111\n40941 50844\n50711 85109\n64052 70710\n48792 98180\n29714 97299\n5346 10128\n39978 90700\n783 81577\n45934 97882\n10465 84266\n2797 11147\n59442 77568\n23383 65218\n55707 56120\n17247 78868\n19323 46748\n24467 79400\n75384 97155\n5232 67559\n20517 24854\n31547 40420\n70682 75979\n72825 87287\n38245 59555\n74637 95629\n43672 59647\n25066 39075\n1486 44228\n76452 84077\n17891 88792\n9459 49911\n52559 54834\n8983 70621\n76839 87596\n49411 82165\n29756 54463\n11021 65553\n50265 52876\n54100 85087\n70190 93163\n31670 96520\n13673 97118\n14142 82707\n3858 8527\n46384 79668\n27099 67347\n38297 97176\n62165 95872\n5484 91392\n12265 64447\n15712 45347\n6679 65846\n1895 3583\n41337 93729\n36543 77353\n84278 90708\n22356 27858\n50396 62208\n22475 89027\n17263 42985\n87540 97740\n31717 63168\n65369 77281\n33180 38104\n72313 96196\n14636 85083\n26573 88392\n86583 91094\n22443 83730\n2691 3258\n8134 67547\n21762 64523\n24495 34488\n63849 71082\n7834 87973\n11814 24716\n19665 70986\n45675 53993\n28748 83349\n6264 84679\n48268 99259\n801 49901\n24582 69435\n62079 64518\n32561 85249\n3656 82012\n12626 25148\n69035 93830\n42367 77765\n7382 91668\n25194 72002\n23609 24937\n961 68876\n68919 83577\n75354 77492\n44193 48636\n30676 76496\n55028 95318\n34775 43645\n53657 79391\n43547 99298\n35909 66148\n25362 27997\n70631 89822\n8985 52923\n19895 27771\n12285 72136\n6222 50909\n69749 85406\n15939 61660\n51665 86819\n10626 44484\n78245 90204\n43724 49463\n15241 40326\n38063 47753\n57845 94186\n12139 97110\n2535 19860\n50693 77141\n38527 99138\n8238 60559\n52911 53948\n41062 44752\n29521 58469\n64108 84601\n3977 95794\n81832 86959\n7642 95065\n35915 76059\n54918 57095\n35064 88256\n3574 24455\n4874 84524\n10661 60263\n35944 68696\n6314 70023\n20267 65523\n19807 64610\n18979 86250\n49592 88319\n15174 21869\n15579 61988\n16736 43947\n40227 91502\n25687 61004\n18041 33197\n42551 87577\n3105 63102\n14745 71089\n86353 87223\n32359 56216\n48166 89798\n53875 80269\n20493 56550\n2439 42055\n61302 96731\n48977 64840\n38281 67203\n19317 91628\n24722 87562\n20426 44628\n53101 94699\n14879 36308\n73593 81780\n18736 34629\n40416 79196\n6923 44051\n86342 94534\n23959 52603\n12271 97657\n1327 19807\n23142 83906\n38013 83689\n24304 80695\n16654 81694\n55702 66179\n26854 45562\n82071 89433\n13500 65104\n45492 64248\n39061 92303\n41407 47389\n71262 85022\n15375 93108\n56828 79492\n65954 81480\n17612 18613\n23909 75893\n82193 88060\n18972 98988\n9127 29744\n58823 81900\n73294 90318\n32371 90730\n59718 82955\n67515 86636\n89309 89455\n5999 68845\n14252 55865\n25927 88541\n21651 34811\n68362 79197\n28992 35528\n28718 98608\n21712 26994\n29599 80087\n31657 60849\n6612 65353\n18393 41098\n44194 44698\n9250 22920\n15935 36551\n28180 71517\n17243 55865\n2327 68362\n27201 80067\n28046 40527\n35773 53523\n34675 60166\n5131 44037\n6105 55625\n69480 78421\n63955 89054\n41059 49076\n83181 97595\n73940 74782\n78095 89094\n9940 10840\n19065 50170\n36036 93606\n54491 60135\n50725 61983\n27255 48147\n32885 40066\n15321 87538\n19538 25130\n45670 78302\n58034 81129\n62579 74786\n2315 56417\n45464 88967\n37093 69534\n39500 90056\n36384 95722\n27815 91723\n32666 49855\n71516 99948\n47922 78530\n65227 94152\n70826 87750\n8461 13909\n20191 95677\n73576 80111\n11894 89254\n20651 79485\n73147 93609\n8290 78528\n268 16064\n23736 62324\n15640 59044\n39722 70080\n17363 18090\n34382 38290\n16571 36659\n12025 25432\n82131 96130\n22240 91123\n59264 95960\n26904 31724\n43320 49278\n1576 54281\n2872 39576\n25276 38216\n22299 32666\n2191 81614\n25117 74333\n30641 77824\n32710 85432\n40689 72679\n59706 67749\n17113 25155\n63290 85525\n51633 80458\n57021 71571\n7446 22177\n49255 73225\n6707 42485\n13758 14781\n6399 76911\n6708 82204\n5937 6383\n2160 4741\n32754 62139\n5840 60611\n38227 84857\n6944 15464\n66497 96749\n66993 84021\n76905 80384\n47825 58402\n69056 95298\n28980 83605\n3911 65079\n14881 78170\n77895 78157\n13594 71393\n20157 53839\n53771 94167\n4125 85486\n2476 24433\n40241 42483\n20552 66997\n53942 92717\n55426 68954\n77164 95647\n1298 8373\n84009 97167\n59278 78297\n5298 44602\n9450 14286\n4386 62808\n43218 91575\n27486 57725\n79275 83971\n36448 42618\n1356 73054\n19611 30135\n1241 65100\n62578 67924\n68211 73082\n19069 66200\n4154 21559\n16521 19493\n52419 59184\n39298 67929\n64326 71990\n34113 72868\n1889 99152\n15553 32554\n1555 92703\n61527 81047\n54520 99189\n32642 44890\n64937 75820\n28280 74400\n24789 59930\n69905 85500\n38761 75297\n50423 60323\n23623 45119\n43610 51235\n19794 29468\n29117 59871\n13451 38372\n10576 40480\n12158 98361\n31623 92654\n661 88789\n27600 53851\n34884 41099\n45667 97351\n14343 41510\n46932 87724\n50541 62749\n6297 63460\n39135 71631\n41 89405\n29891 65187\n37208 97681\n10857 72906\n33741 64343\n12693 20191\n21665 31205\n42038 56732\n10413 78839\n14536 35277\n30187 71212\n51650 99042\n7511 78645\n50370 67574\n17554 49725\n23425 67800\n34797 49950\n24801 71643\n11727 59305\n33896 41947\n22937 31104\n20453 67532\n75735 79898\n38678 61280\n62062 78619\n27348 87341\n72935 88151\n12332 79988\n19517 45539\n71283 98265\n26370 49955\n27904 44926\n28950 35209\n25313 41708\n37468 68627\n30328 87928\n2737 67368\n58238 78124\n555 70763\n29415 94087\n142 27779\n77214 91673\n50179 80254\n50846 82332\n55542 78776\n24696 79473\n6810 52701\n50126 70406\n45450 70943\n10286 68053\n3399 97849\n59792 59995\n24257 78576\n45105 51395\n35077 62146\n7037 58337\n8411 29348\n15671 71546\n24663 47112\n1621 78819\n1839 76127\n45223 96127\n21257 80649\n47570 77528\n40661 94595\n50065 73770\n34102 64356\n22109 31230\n22042 80674\n7715 28847\n29821 57466\n18655 58570\n77128 80030\n14411 19273\n60216 70380\n85166 88319\n38743 64737\n33448 90378\n7166 20356\n43090 68379\n15230 53152\n47534 47918\n50485 72940\n2081 92880\n48248 56230\n5119 76032\n81203 92965\n2812 80253\n5372 35918\n54348 67048\n21719 62922\n56349 78124\n17229 77968\n63005 93730\n4999 76177\n1188 7214\n89582 94790\n51537 99021\n45084 78031\n31584 80096\n68266 97704\n10839 61657\n52097 84258\n18618 21144\n51401 97987\n47791 86222\n59420 82271\n2760 55168\n25156 90912\n48223 77874\n19571 78917\n35499 58434\n37639 68695\n59707 70731\n42986 55548\n26402 92669\n47320 69989\n17613 97838\n8629 50075\n6487 13816\n23127 26299\n19577 32005\n91877 99001\n61208 86036\n17989 25774\n33710 95387\n44622 49885\n54044 97363\n52815 59125\n44565 87617\n59987 79515\n15860 35509\n58699 76162\n62996 97744\n3269 48013\n16764 81827\n72879 91779\n26166 26494\n19698 58295\n1966 4756\n18105 36310\n67905 80085\n56363 66701\n15798 48902\n45611 70261\n45718 81763\n54841 62680\n12302 31099\n54985 79446\n7988 52097\n42805 57035\n8534 17779\n13934 93747\n21219 71545\n19526 44874\n25111 55245\n9328 20740\n32302 43286\n54654 92901\n3713 83426\n13132 65881\n24686 48883\n1189 92787\n39182 80070\n64355 70123\n14315 23694\n37086 43808\n1698 19322\n38415 70081\n2318 9868\n43678 49692\n76371 82213\n27221 70425\n391 3905\n35799 38357\n33104 44212\n18821 47732\n87976 94231\n21757 38000\n37112 67888\n36298 63177\n17220 21282\n2542 66386\n63888 64800\n25860 74076\n835 44640\n52062 64752\n9813 77270\n7999 78340\n77273 85074\n30508 86436\n16532 45461\n48394 55233\n2887 28320\n7412 25893\n3016 21187\n37269 55372\n948 3128\n32177 74186\n20457 50490\n69079 92669\n12174 27487\n23933 51596\n5647 62520\n1565 48634\n7458 12230\n47968 72012\n3083 70977\n52704 81078\n15164 43126\n1463 3748\n327 51480\n48663 96607\n22509 59641\n68595 89982\n20355 61505\n66926 82528\n7360 51085\n72134 83537\n21960 61040\n61099 87271\n12809 35081\n10660 16905\n50986 66449\n23526 24775\n43342 61280\n7602 24577\n58314 58931\n1424 98895\n19715 46972\n52626 63380\n4381 80786\n6489 16033\n8602 80056\n37405 44757\n53525 56128\n70358 82910\n27614 80720\n13731 50175\n25278 94076\n24362 56238\n22663 66561\n25254 91134\n59504 79756\n10573 41691\n32430 76652\n30897 51532\n40746 83124\n42206 55655\n9682 46622\n73855 81678\n87799 91462\n2746 99738\n23709 94826\n42696 81546\n72963 83521\n63764 68729\n20542 31755\n21444 31918\n49809 84125\n40334 81625\n50372 62852\n13369 53904\n32290 51027\n55443 69027\n81796 89101\n35041 62786\n30977 49343\n41761 43372\n37284 43363\n28042 43405\n60228 80751\n82851 84565\n25134 66451\n51517 71086\n35080 47081\n4912 47597\n25796 87224\n25239 98054\n49111 66089\n49228 67051\n62662 79828\n65648 69650\n31370 71779\n25619 57955\n34315 66336\n36504 91067\n59707 99519\n9644 63012\n91265 98051\n23199 50969\n23033 37984\n13980 15054\n31874 47028\n48703 86619\n69419 73007\n12554 79882\n22283 63954\n22165 60243\n32765 52445\n39579 57127\n13201 95547\n3448 30730\n10842 27518\n68633 88586\n3846 62299\n34437 44199\n24431 91813\n56190 78956\n61153 92862\n30580 62900\n19249 28377\n29056 53467\n43476 73326\n12714 20780\n38945 63855\n64215 93902\n36104 84255\n14621 67721\n85476 86134\n16497 46678\n19514 52263\n16643 56032\n430 16381\n46687 95133\n27295 86087\n21214 39351\n41099 66839\n37660 66739\n2088 71965\n1228 8056\n30351 41989\n49126 54195\n4924 88368\n26892 58444\n18802 29026\n6585 74098\n33837 37317\n25563 96802\n74957 97772\n29236 69661\n6804 97265\n59669 61099\n3571 47667\n10028 97126\n3981 55831\n24426 27540\n4877 29047\n16086 44509\n21388 35137\n12379 27364\n76822 96571\n20873 21787\n81471 90513\n21515 45225\n12175 49487\n52986 94065\n69392 84021\n33003 91060\n13758 75892\n5888 6488\n35220 93850\n23210 66253\n1422 15212\n26486 98541\n50906 76971\n37586 42882\n32948 80039\n40128 99794\n47374 67325\n23514 38843\n64917 94259\n14394 37829\n19286 80878\n1963 16837\n40115 94913\n72338 77762\n32670 94744\n8087 36264\n36939 73047\n913 22179\n28976 56418\n17711 25504\n52102 93584\n28155 77098\n57985 83659\n8460 29564\n77155 86458\n1547 94490\n23183 46396\n6158 89895\n50676 82405\n50979 60351\n11395 32929\n11288 80084\n11413 21545\n22992 59950\n45898 89958\n68788 83739\n44564 73073\n8500 86877\n22563 75722\n13847 61953\n60596 85814\n2768 4590\n17281 83284\n77192 91364\n37248 69586\n58894 91327\n52285 74691\n520 8038\n163 77077\n4808 18174\n1661 66045\n40478 43300\n16202 79514\n39469 63496\n23451 45954\n34314 71781\n44774 74835\n7445 34447\n34136 92603\n5299 36130\n81209 97362\n11895 70505\n4471 78425\n13756 58938\n24592 79540\n14510 33605\n39204 80461\n12809 57061\n71136 75014\n64328 73097\n24975 92210\n17329 84560\n10654 68506\n11306 85095\n2144 28273\n16820 41109\n50838 77247\n70867 83594\n70845 73021\n10961 11452\n19223 59282\n78801 88309\n47288 96280\n60770 68799\n5062 21306\n37228 75372\n46612 59601\n14401 80531\n42563 66171\n9389 78346\n42646 66672\n20391 71727\n6772 19805\n32664 48342\n48525 68243\n31785 51644\n90421 97479\n2480 30739\n14642 77109\n14661 23856\n34215 45252\n11122 91891\n35843 90516\n32099 73346\n22483 33720\n48883 81207\n12882 57565\n50190 71065\n15800 46805\n13302 93669\n31206 64229\n58878 61252\n29290 78706\n53099 96541\n53468 74270\n9391 46694\n44053 65870\n38783 71626\n77808 89049\n15340 31637\n58808 91287\n27290 28791\n67214 92909\n39205 68377\n22459 85037\n43857 45685\n25455 86907\n77753 83068\n35201 46466\n20865 50150\n5072 84579\n9364 25728\n42723 92696\n36772 88316\n22890 67352\n7433 61066\n59344 63443\n492 64810\n38114 93516\n68885 78376\n59342 96648\n13718 42157\n17770 18580\n19869 49496\n25349 82240\n71709 85523\n31364 91023\n81651 91032\n49761 62243\n74989 88775\n37696 71235\n53295 76738\n28337 40770\n14306 58032\n4377 47861\n40642 88706\n40706 49023\n15414 61688\n42631 67570\n56794 68771\n2599 61465\n43736 47601\n56435 72925\n17118 78624\n41213 46778\n72693 76320\n92880 95238\n5336 44562\n5478 85245\n40461 44524\n16804 39550\n7738 67299\n3581 30160\n55497 93545\n38187 59394\n4663 66346\n35171 84630\n41418 71406\n2439 71683\n9876 89878\n53774 74602\n656 45086\n14354 14371\n14181 26961\n21922 49425\n4171 5471\n50846 87496\n94452 98123\n7859 67990\n64002 72079\n4847 56541\n82177 97123\n19324 60208\n27749 41876\n17237 97111\n15074 51242\n810 48952\n5976 65240\n16219 54555\n24641 32284\n63926 85544\n48747 83985\n8494 66765\n46594 99477\n15954 83770\n47949 74970\n11031 70272\n27881 82034\n56905 74077\n56128 63408\n9105 69701\n8073 66675\n29834 50659\n10198 51532\n54203 57729\n18359 80124\n18550 81734\n13178 37546\n6141 34034\n52607 81505\n40381 57309\n2797 3656\n56442 64945\n5095 44049\n55275 67626\n33422 65693\n53696 89976\n40975 42185\n6575 97385\n58083 73326\n537 37491\n6690 59659\n26820 34579\n17240 67832\n69687 73157\n48016 55669\n83301 86341\n16287 99206\n5250 84165\n13400 71212\n16474 52112\n27973 63593\n68969 83632\n60347 72181\n18283 62475\n5869 44205\n55617 71810\n77351 87620\n5898 16193\n31740 65361\n12622 90595\n20493 63080\n1358 55349\n7122 17039\n18316 70454\n32679 72985\n34812 47479\n63761 88073\n25102 33298\n9151 56668\n56212 58237\n37622 52667\n16913 27011\n84026 86330\n33744 67107\n51142 66128\n11090 21681\n12655 99335\n54338 90052\n43943 79221\n21322 26959\n7417 12090\n14532 50529\n23927 36702\n9840 56075\n33459 77048\n21459 52089\n16478 55188\n44995 66758\n38105 45736\n31278 31661\n89814 91024\n25609 70394\n7473 88916\n9946 58520\n17848 27117\n57550 70424\n31563 96408\n2494 84158\n27302 48858\n86351 98029\n73801 80595\n26852 31565\n18930 78233\n31707 57641\n7492 13583\n9929 20868\n3451 28441\n24710 32071\n66058 99115\n45688 81449\n62723 66264\n4252 52052\n32430 98028\n131 15759\n18595 98645\n21352 45648\n49604 76070\n33431 55414\n52685 59587\n23558 53485\n52062 85532\n23528 97507\n91255 91766\n22768 91433\n42808 43799\n32420 73669\n68591 86256\n31838 84406\n5824 21273\n38597 40576\n65612 80504\n2422 31495\n9098 35022\n7736 76860\n12711 95839\n7797 78226\n11979 26260\n69081 88252\n17502 33801\n2156 65341\n35028 43587\n19097 52022\n44025 87045\n60329 62308\n10188 18484\n8400 40396\n9373 10604\n38363 53469\n5303 42772\n28227 79448\n36501 84635\n41027 79679\n73109 80278\n57694 71839\n50061 96241\n50822 98304\n13034 50276\n10934 79085\n58569 82038\n18097 40593\n55229 61597\n27652 44589\n21176 45509\n39098 86122\n1395 27685\n53175 89400\n17444 27463\n12135 17579\n71113 79113\n7328 30385\n25679 81476\n39998 42124\n38582 88827\n24532 43052\n2020 63593\n82677 93428\n43112 48128\n15627 34455\n7356 48689\n33077 98536\n59854 95367\n19575 22459\n24245 47632\n4006 10058\n68240 86409\n27116 39392\n36806 44646\n44294 78273\n18264 96583\n79502 88325\n3465 50698\n43072 96296\n66539 83231\n97999 99136\n18386 59676\n4136 64919\n29228 65899\n50803 57592\n27198 81214\n58641 64164\n15157 95025\n18236 39275\n57189 57677\n16607 97580\n22498 98848\n15206 95237\n4161 9825\n31846 56087\n23350 31986\n22254 70265\n15889 61488\n5081 68576\n41009 60074\n8642 53930\n23735 72340\n56396 99773\n87697 93688\n88755 97139\n23 88847\n34110 56151\n10024 57136\n62659 90718\n41571 90654\n18380 44781\n46735 81265\n1934 13035\n60683 74716\n28272 97773\n8078 61806\n18334 54854\n12437 30819\n1592 42072\n9935 56102\n31696 47964\n4262 22163\n15012 48701\n43918 78825\n75354 96450\n18680 56826\n4894 66202\n60887 88822\n13494 21221\n1350 84542\n13196 64324\n53811 74962\n38151 53215\n56282 81253\n57207 87853\n31735 60319\n13324 93756\n41999 89997\n26059 30544\n41841 95209\n1488 24308\n9245 38348\n53177 76245\n2433 11237\n3861 53075\n18199 35752\n41711 50131\n43147 57036\n31370 97973\n22357 77917\n23762 34552\n3675 42906\n345 78391\n2675 49938\n7511 25571\n35804 93782\n77894 95392\n10230 62346\n14908 94019\n48494 82927\n33751 56455\n2723 32929\n17066 70284\n18282 79954\n22007 44512\n6206 16323\n60340 70338\n31107 80420\n59189 82489\n7987 61150\n63238 65986\n7274 21787\n18052 88040\n62954 87054\n4379 6804\n13113 22958\n17782 82829\n41212 77148\n21148 85411\n49786 67611\n27262 27981\n92850 96707\n46599 79665\n51394 64366\n29746 52216\n6245 68645\n16362 52725\n10992 15010\n5647 10746\n12553 58230\n26832 65423\n16907 52416\n31122 61209\n7839 68028\n30260 97517\n44544 50839\n61260 93449\n35014 78310\n30313 94176\n12441 58764\n25087 66208\n73786 86884\n11925 82008\n38948 71218\n25729 87808\n27530 38361\n26524 82536\n1349 36263\n3632 65921\n33906 96063\n39645 40440\n1766 9061\n21279 82647\n320 27273\n5769 18261\n11630 74742\n44832 66371\n33334 95849\n14961 70699\n3689 56470\n25660 51505\n7827 28784\n23926 84092\n9571 28670\n31195 46462\n24347 46774\n18093 68156\n29454 94968\n30350 44205\n48753 88865\n45485 81102\n9670 68889\n10899 97417\n29855 58715\n71804 79873\n55069 69478\n16908 67137\n3397 37014\n66977 92016\n55902 95302\n54130 81665\n74258 94092\n38094 81608\n32923 38186\n27545 93681\n50206 91198\n63899 70895\n11372 32997\n21115 97239\n62455 67174\n23195 45265\n52498 71699\n82450 93650\n54054 80576\n41912 71169\n64904 82604\n5543 60607\n64407 64425\n48621 93607\n45323 75092\n16199 75519\n21224 45227\n85232 89370\n23153 39525\n49243 71710\n1692 83594\n56915 98532\n16502 56957\n8933 20935\n33624 82747\n15400 15649\n13180 73272\n60082 95883\n20539 73612\n27446 77724\n17151 59767\n87625 97966\n90763 96100\n32106 40430\n4943 28105\n28826 92535\n45413 46162\n19670 97216\n44907 46583\n6865 32876\n2316 77832\n23169 61476\n19569 85761\n40948 73440\n40211 68276\n31347 44414\n11731 33050\n53048 61568\n90874 91208\n38774 60034\n47086 79278\n63172 80826\n72761 97288\n34783 95436\n15257 93228\n63044 73813\n26316 31393\n67033 76497\n6087 62858\n62623 87897\n10895 63228\n48522 80152\n2877 7452\n8960 21689\n23103 40873\n75452 76857\n11943 54564\n4199 56383\n32507 62118\n65255 97837\n4164 97558\n13733 22042\n6757 59375\n65377 74415\n8713 54391\n1340 83528\n50390 78416\n63283 86003\n15204 60310\n1047 62204\n51545 91099\n84063 87350\n1775 53214\n23310 82092\n20586 70839\n6279 47625\n72652 77205\n18595 85562\n43267 92516\n10786 21986\n15830 93659\n2459 35641\n65590 87992\n93092 94730\n66362 69016\n31853 58615\n33203 44022\n50849 98173\n48761 99872\n31818 36848\n37963 56096\n41583 69621\n15015 72096\n15957 86534\n18191 58904\n44409 72577\n17804 27961\n15495 83728\n1827 16554\n45745 91257\n8520 23402\n68714 82915\n17245 32337\n40178 68501\n66565 76798\n2888 66463\n84 4515\n48794 67465\n13435 47277\n30702 70550\n42114 88680\n54291 59333\n24540 46517\n54112 68159\n10725 33034\n20188 75112\n22252 68422\n33954 83989\n11607 83242\n64077 71481\n24411 92715\n54852 87962\n12785 81815\n51026 86267\n47239 59319\n36676 66402\n17380 75916\n61725 75179\n92502 94855\n32796 56057\n15606 41887\n5444 20993\n25443 47425\n12232 96076\n67080 73444\n29414 99579\n31383 48858\n12216 82722\n12032 91355\n42031 98480\n56808 59776\n21146 61988\n26211 57114\n22397 76166\n18339 64261\n29717 92434\n15527 49939\n27583 56274\n14243 29568\n88234 98502\n24729 82916\n27836 83867\n90760 95359\n10164 38226\n55434 62215\n41953 96922\n48040 72321\n26696 75163\n34832 42905\n36249 56280\n17780 51023\n22806 75794\n29998 38579\n25215 42923\n6520 95051\n35723 53100\n54652 88225\n679 89932\n41215 81351\n20493 64202\n29780 85607\n37421 60828\n73148 93108\n21482 87585\n97848 99648\n26018 37574\n41619 61689\n81662 84033\n47998 51087\n20172 99428\n16414 42062\n38613 64009\n4453 92995\n43153 76456\n5077 86754\n30231 73793\n17114 88694\n46429 71178\n17124 73947\n70931 89280\n31030 59237\n40584 95935\n52960 87547\n54656 80406\n32371 43231\n57607 68672\n15342 83748\n39916 58022\n986 29685\n35700 42717\n27818 80034\n70333 74306\n43076 52481\n19431 80377\n1413 23916\n7813 28240\n7251 43791\n40330 46717\n75966 80067\n6241 9472\n39328 94810\n12217 62952\n36862 41103\n50592 53024\n72120 95946\n2241 60900\n93248 95319\n2785 96681\n48529 80666\n44929 84075\n18210 47046\n72708 96428\n86631 91832\n11330 48128\n15338 79369\n27013 44812\n1342 88091\n24826 33396\n52281 99006\n1637 39384\n25114 67904\n23314 26897\n1534 68745\n41113 75731\n46045 98708\n57528 69347\n15715 81985\n64107 70972\n32405 82693\n33654 91347\n31949 45320\n73062 74589\n50711 53455\n28945 88129\n19017 42787\n16557 32930\n53228 88661\n29153 82597\n8689 77834\n10396 90472\n59388 98530\n19470 43816\n20628 74397\n13877 60640\n7920 42736\n24879 57071\n4197 66767\n40685 49244\n90299 94933\n76510 82852\n45918 95213\n31251 53774\n16895 27384\n12041 66855\n10623 36503\n23460 56792\n39752 85979\n84499 95169\n58184 95448\n34791 65021\n25205 99296\n36726 63351\n25012 76283\n7260 36904\n16315 62842\n36629 56756\n17361 70985\n72263 95664\n56197 79272\n58815 68790\n18682 22409\n37918 55941\n57499 76140\n59215 85245\n64247 94528\n16465 17519\n48515 50120\n21389 79812\n1509 63749\n28675 31024\n2624 39089\n927 98289\n24554 87572\n9155 13936\n37482 79565\n53800 70749\n11527 64835\n20212 57760\n39755 73703\n17573 63207\n42282 90527\n33141 33323\n12795 59141\n14992 54776\n8025 73500\n22932 44352\n72131 81012\n16396 31417\n29667 72050\n3367 20500\n47955 74564\n1358 20358\n23312 62156\n26754 69044\n12455 38146\n38064 76980\n24192 63895\n41342 76041\n4200 68365\n30190 92352\n18291 18509\n83716 84179\n34783 54180\n8555 9580\n81569 99935\n8506 17736\n42471 70949\n22920 87820\n22930 28691\n69619 76626\n20336 86209\n20993 70193\n19717 20552\n38695 77561\n63436 76630\n27146 83258\n39482 59139\n9348 69975\n42969 61562\n74357 99274\n10981 89463\n6462 58522\n25449 85570\n44817 92878\n71402 73697\n21953 75952\n18390 59322\n21134 29049\n8664 61184\n48785 99502\n83587 90736\n2959 45633\n5860 52926\n63940 92548\n8841 41189\n17353 77139\n2409 78470\n84324 94718\n5779 65595\n22245 88412\n37978 59854\n40328 83631\n16233 34396\n16884 27927\n8554 31552\n17320 23265\n68611 96301\n81290 90318\n8971 56819\n30497 47779\n90651 99747\n41594 44098\n51747 93187\n57444 96009\n24739 35155\n59906 61715\n36193 37484\n172 91431\n85 6100\n69350 78527\n48378 85119\n32247 75929\n49706 91049\n19675 70557\n33756 38483\n11154 51696\n2462 29081\n59663 87752\n75643 84326\n2387 69333\n81342 84392\n17019 54923\n28503 80630\n47417 93442\n72 50213\n60883 95309\n53798 86800\n8174 96235\n42498 48043\n32292 77319\n32747 59015\n18420 69741\n19957 29658\n9516 82368\n46960 54628\n41124 61415\n3174 90638\n781 90970\n17478 36242\n72451 96807\n64123 70706\n40664 67269\n8154 67628\n1387 63609\n1257 21956\n16192 79660\n57981 74177\n74576 75337\n33166 79225\n35916 47267\n45100 96694\n53090 56245\n25370 54860\n81215 91065\n32978 34092\n23670 51674\n45620 49064\n4245 99796\n33163 43422\n48200 83991\n53405 54842\n52612 98613\n19086 37911\n17589 66897\n13809 15250\n3209 73287\n32604 69843\n19639 51554\n57500 89473\n17808 21749\n68971 99836\n66988 76511\n51630 76728\n20920 87643\n63344 67284\n986 50890\n57846 84538\n7045 23828\n63250 74457\n8202 82326\n20534 38179\n12467 39653\n71289 83035\n11419 94490\n25321 79704\n72808 78356\n53210 55315\n40364 79429\n58838 97545\n12728 18840\n6931 14761\n8569 63913\n75573 92991\n45324 64119\n3989 49328\n22641 74466\n33211 38451\n75588 92885\n33469 73333\n30892 94891\n22265 86538\n32547 65317\n11906 15120\n30239 60859\n40940 56937\n51686 58235\n6120 69537\n36714 88239\n15052 20196\n17480 52166\n641 74725\n10951 13748\n16467 78711\n65551 69532\n82480 96694\n71156 94729\n35344 74279\n4767 11992\n59833 86963\n26798 74765\n13883 99554\n26173 93573\n40327 75969\n59729 67793\n58829 68769\n33628 70213\n2066 16076\n668 67475\n48159 81960\n75497 75739\n46628 76385\n26487 68139\n49876 52329\n21999 56749\n50513 95557\n32264 61022\n1766 19975\n2730 5991\n25521 77572\n34047 53447\n73232 88508\n975 5897\n2812 67998\n7418 31424\n36153 79576\n149 55078\n39842 65489\n8429 92163\n58729 63639\n62659 90946\n51675 55662\n32114 42348\n39363 48005\n719 46266\n84413 89077\n63163 88093\n25321 30212\n4864 31802\n9183 47536\n51 61786\n14856 15874\n27744 64715\n2972 43110\n36021 89285\n31979 36901\n49598 67467\n25105 63716\n53601 83332\n37559 61768\n79995 87550\n44027 53492\n53914 58365\n56612 60808\n88100 96657\n41570 61586\n12033 48305\n47165 96338\n50785 59380\n29028 81606\n49568 78435\n52292 53989\n21945 43451\n5426 62606\n42394 69057\n9015 17322\n5136 54496\n915 6278\n43781 55493\n67807 72474\n51030 92681\n14808 87447\n22462 71205\n7680 16392\n30755 64570\n31569 98388\n4775 28243\n23326 25703\n42081 48677\n58612 73433\n31676 97161\n82847 86015\n6469 50788\n20253 91313\n51641 91893\n5758 67769\n7871 85082\n9156 30831\n6768 51629\n12941 51187\n70709 81093\n44505 58979\n75532 94258\n34870 62293\n84113 85515\n55500 95626\n41699 47761\n88983 94479\n59406 90009\n48430 89697\n643 64581\n89372 96472\n161 22147\n2937 12868\n53761 55108\n26795 73537\n42308 53466\n17702 91412\n30457 32269\n86241 89227\n7535 22934\n65195 98194\n467 52754\n13867 87640\n9384 62701\n2932 89430\n32308 94621\n2027 35733\n23179 92266\n66168 80929\n39321 59594\n79842 89315\n61715 61751\n1438 2957\n9305 60522\n86702 98728\n18865 47226\n3577 28030\n11931 37016\n27258 62096\n21539 64534\n3981 62919\n15457 93620\n25827 43452\n65122 68011\n62170 67032\n34757 54810\n8317 75998\n54629 64700\n46182 69909\n32563 41761\n21243 55481\n74022 97793\n87609 90384\n1630 49913\n38328 95359\n19507 31914\n2893 12531\n34313 98045\n8488 67847\n14566 53609\n30180 82650\n14231 49584\n33740 34619\n35195 47874\n39137 88303\n15396 60970\n15299 24488\n16959 72595\n38271 66248\n66315 67610\n13587 79109\n38493 75952\n86330 98010\n19488 94285\n6364 74273\n8848 87785\n59701 68437\n52417 76517\n25973 87589\n27132 73960\n8125 97974\n39070 51818\n44530 48142\n47730 57087\n28158 32028\n2071 23794\n33015 44456\n30313 60819\n2646 44448\n6652 12434\n23514 53251\n19097 24374\n44758 56285\n11792 84093\n22165 27473\n12013 85015\n27793 34095\n79186 96901\n29984 99921\n30957 46686\n6670 29650\n23407 95762\n43258 65976\n24073 31384\n38464 84333\n25272 96723\n33232 73683\n1792 92070\n36438 86932\n28006 89753\n3579 72047\n37323 54250\n7985 29858\n63357 67026\n57204 57344\n19692 96507\n23159 29898\n17370 42651\n60748 77811\n1462 66997\n9044 27696\n52208 88355\n20247 57551\n43404 97234\n9514 26695\n20353 71211\n30774 37154\n21639 99678\n23974 73724\n81975 84593\n42633 57044\n30981 31994\n76176 84701\n16920 27699\n72617 78389\n4796 18969\n55936 69606\n55502 63251\n3693 29319\n11115 96751\n59563 85296\n27447 83497\n16374 80819\n17377 88287\n10446 52128\n60598 75063\n22489 94887\n93871 95735\n79931 90296\n43818 56593\n46894 77240\n38519 82199\n805 87599\n62949 66221\n17525 33248\n6741 23858\n33133 45723\n34101 59358\n19249 50893\n12313 92457\n38218 71291\n22343 76155\n2882 68268\n5521 26380\n36372 48287\n86580 98505\n17658 55797\n14112 52601\n15195 89637\n60137 88510\n2996 65761\n56066 91429\n59609 70789\n12132 77072\n39739 83736\n45012 45775\n18765 83051\n5945 24151\n58372 72472\n40790 63791\n1107 49623\n5082 54129\n65272 78155\n10392 88333\n21524 27919\n13275 89932\n4722 47543\n13528 66017\n76862 93619\n16058 67761\n61653 64422\n21978 29306\n5439 31228\n1683 14651\n50917 90375\n78797 88448\n36352 54910\n68563 70560\n20958 42855\n9139 64148\n6229 37364\n16939 34501\n16698 65470\n32290 59077\n15100 98377\n66117 77972\n79754 99327\n57413 83238\n56451 88144\n13513 77944\n54093 86840\n2914 76758\n6947 31253\n31478 83312\n52980 70058\n7502 55260\n56379 98642\n12816 41309\n6998 58072\n17464 99466\n18193 35080\n9594 28011\n24558 71734\n19076 27143\n67419 79335\n47475 87600\n9902 81929\n23263 25595\n10280 69282\n26317 72325\n62997 68320\n64157 74430\n71792 77776\n2927 80370\n75795 85754\n361 81297\n11838 86864\n13491 16085\n14840 97622\n14843 89877\n24984 68132\n47718 47808\n67845 92310\n59894 94661\n35932 78045\n36756 75003\n41381 90808\n15318 88528\n83065 85748\n71553 72875\n19519 34654\n31021 74846\n44634 74115\n13078 51185\n22881 79075\n12301 36332\n16684 86258\n41357 93946\n54735 79628\n14615 99566\n38176 74249\n12732 99368\n29215 89569\n48035 71690\n80819 98809\n13751 78331\n6584 20608\n31773 74472\n44992 94770\n18701 97287\n87351 95150\n8648 77721\n73991 95235\n543 31836\n44450 59557\n2771 84648\n30228 31313\n9655 47143\n14610 81665\n80971 86556\n11272 32565\n35669 44923\n14490 62472\n10040 28782\n2927 32352\n31871 62460\n72828 73741\n47770 82824\n6875 46828\n34934 86785\n57383 74229\n43631 60803\n246 5982\n10723 14333\n52495 56509\n6651 38903\n47627 71580\n5710 27090\n1134 31173\n34697 73722\n19644 50805\n29161 35578\n33255 82653\n5661 43013\n52438 94412\n12538 21736\n49032 57101\n56369 98387\n3109 17713\n37431 92793\n264 42572\n62172 77036\n34190 42714\n34737 93225\n56327 83200\n63694 84011\n85495 91724\n66036 94233\n26009 33895\n37787 94732\n42004 74236\n21431 71566\n232 89099\n23673 59610\n25359 61218\n33507 86072\n31099 55658\n24205 69756\n21126 40954\n10594 21156\n42344 43790\n25130 73647\n19977 97820\n27527 62448\n62531 81868\n77249 98024\n39628 68232\n63743 89865\n42308 84684\n16892 44157\n6086 59241\n19128 34202\n71109 89016\n27902 53599\n2131 71088\n70144 76488\n74090 98454\n32377 39847\n88023 94221\n27657 83498\n66175 94093\n755 92160\n32531 90056\n72137 91315\n8610 17900\n3730 34493\n64128 72345\n27616 29026\n27354 41717\n566 65972\n61029 79502\n60371 95951\n27568 39825\n2076 74046\n1294 56123\n59136 99490\n52102 70320\n392 76239\n60921 62107\n11014 90440\n29615 41580\n72411 88781\n34603 73863\n48109 57501\n11511 38139\n7610 84848\n35836 82224\n2344 71295\n63269 93061\n34106 42361\n8845 9014\n13794 58879\n20561 60717\n85852 92024\n3427 13217\n13677 65803\n38128 41548\n63933 82203\n32712 94607\n60067 77027\n56479 96583\n64246 94302\n7895 23082\n8410 21342\n16055 49130\n52160 91607\n56060 82548\n29024 94790\n26347 33436\n32477 87620\n26474 84217\n6182 11776\n49202 73485\n20641 47877\n71503 86442\n33328 68800\n50409 74449\n24659 45720\n66700 85552\n5859 45795\n47749 62348\n49397 91293\n28324 91203\n45063 68566\n19811 71001\n22394 98421\n6005 21780\n26632 65594\n69881 97639\n3968 21029\n94636 98836\n46733 69995\n42064 76405\n10210 80031\n9857 23679\n4992 37330\n31466 59484\n5099 27081\n52532 56108\n42369 53984\n4122 20105\n47669 78131\n28429 53251\n5099 81087\n26504 27530\n27396 28638\n48925 78200\n12556 54660\n60970 86371\n9928 89744\n37362 92538\n33424 51920\n35539 66890\n39560 74886\n21871 99545\n38717 90834\n16392 17974\n37892 79500\n7255 77686\n51976 73808\n60305 93444\n35771 75935\n24552 54448\n48170 59750\n61808 82385\n3985 19826\n16889 52580\n3425 97804\n57871 94214\n63364 98113\n25210 32070\n1929 48546\n25940 69840\n55599 77134\n15541 99909\n25910 26841\n18260 77754\n64658 73963\n48946 98660\n1064 16338\n7047 76209\n18572 72207\n64169 74340\n35812 39789\n39450 64545\n18451 30963\n89637 99374\n71251 95993\n19772 30839\n44459 82757\n87119 94293\n21437 70292\n46979 73391\n36592 74639\n39185 77210\n40162 54865\n16925 61293\n23345 74548\n33519 64508\n71632 72211\n32574 71466\n70684 98231\n35999 59814\n41314 63782\n6760 78372\n55110 59896\n16919 28188\n25533 80203\n32698 87941\n27864 99261\n75483 83548\n62972 96507\n682 66914\n40910 71477\n16133 60851\n37517 56228\n31296 99869\n49630 57447\n13402 84645\n29481 76048\n9925 37462\n54130 72961\n50063 64022\n31240 95797\n42401 64235\n6886 40660\n20259 27534\n67154 94728\n36198 38924\n39834 49595\n35814 51201\n60665 86290\n15680 79679\n71702 83567\n24918 37287\n14522 62151\n15001 48160\n15787 28042\n13237 42007\n24711 83002\n12658 69239\n76381 97258\n42161 72181\n14036 93707\n41391 43763\n38999 76610\n28807 79697\n44174 50232\n34049 72452\n30478 71270\n35505 55758\n28749 79032\n60510 68051\n38339 84362\n96 76316\n62270 94584\n55881 60588\n22358 92331\n39687 53248\n36137 98857\n33161 66671\n1529 10158\n45947 81199\n22084 93286\n42765 95959\n23254 28693\n54520 83930\n8053 60579\n91297 97864\n25445 52684\n7538 57526\n63836 64786\n11174 26241\n42912 63384\n18705 67486\n59182 73539\n56968 86895\n58964 75090\n20862 59481\n14258 44805\n56680 96564\n37286 42008\n48607 83051\n60531 88187\n79651 89596\n3033 93811\n46163 77036\n19490 39815\n25354 87920\n35098 86036\n11440 25586\n45965 89670\n48259 99242\n42613 88279\n53487 94676\n84887 94576\n32268 59396\n36572 99864\n4874 77753\n40345 58811\n25297 90781\n8570 28921\n42752 53581\n7142 15788\n11536 99026\n24947 77736\n46189 86813\n3939 6029\n74255 96304\n21216 31468\n10290 13124\n18956 94857\n41725 94095\n32033 96811\n32753 97052\n10147 53287\n63563 76879\n17078 30056\n24905 67106\n6329 49814\n98206 99510\n44293 93265\n6336 6907\n66512 98439\n7641 12583\n17028 36151\n35018 87823\n55144 68687\n45361 73424\n5060 85967\n30434 72542\n9432 92560\n16968 32933\n38942 81204\n86251 88706\n42330 85495\n12571 51219\n27384 87374\n60856 77829\n12498 59759\n29120 56945\n17705 30165\n35726 41371\n14910 66836\n20298 26200\n48019 57337\n53200 63234\n32808 96094\n66501 81680\n29456 32610\n22778 44752\n7894 98016\n47633 89542\n43150 71322\n3839 53149\n37620 86654\n17813 83961\n92797 97669\n43422 69350\n23254 33616\n58918 78313\n16338 18873\n52312 72188\n30876 48500\n38293 65688\n33769 86442\n45658 80848\n5586 80451\n83088 93138\n41496 48824\n13667 83939\n27086 77403\n11035 32182\n13691 63102\n9980 95415\n8403 31362\n60192 94982\n24239 97545\n4880 34098\n74695 82679\n11137 73634\n14082 84498\n81682 99979\n26864 97696\n37094 44188\n33680 68475\n48084 51408\n66191 99812\n4447 27563\n45687 56013\n5742 7944\n34766 43860\n25632 71576\n4654 82035\n57707 60121\n92614 95111\n58772 61340\n85170 95949\n9619 36968\n16890 24806\n62066 68753\n49053 76346\n2252 86698\n68809 76414\n7421 30954\n47791 61384\n96242 99877\n19730 75351\n3791 39116\n33292 74898\n86231 92215\n71874 92525\n51404 75558\n6020 66486\n34723 45006\n40828 60212\n11401 85622\n7250 33703\n32178 47177\n20189 21250\n45058 87811\n19684 77023\n47387 84532\n42216 86432\n81340 91881\n8303 32659\n526 6988\n22387 36924\n26952 73699\n35017 99800\n16192 60303\n14984 23480\n69483 93559\n26337 59516\n49206 99654\n52864 67218\n1122 6974\n39133 87636\n12234 18258\n12411 32847\n33212 87192\n3953 79151\n65442 98405\n66011 82023\n28225 42418\n27637 84378\n78527 81472\n12704 65584\n3468 63466\n51317 93870\n9221 11323\n36344 62794\n38720 80749\n11968 17836\n18851 35691\n70398 82223\n12220 57586\n12549 71535\n21137 99001\n41520 71759\n26086 62387\n8591 77008\n31454 78963\n40053 49671\n65879 90331\n1099 95263\n47067 51864\n4425 31706\n21672 26622\n43043 92560\n17711 69004\n46831 95218\n3925 72843\n7079 23496\n12753 62510\n68377 94091\n77945 99151\n63731 98029\n3516 22684\n31048 38790\n14646 21889\n28442 73751\n25797 70399\n52223 59843\n55605 63530\n5811 21235\n1075 79108\n72328 79378\n74402 93086\n1552 62486\n27411 85273\n49341 94209\n87936 91455\n5374 9941\n10589 79960\n40953 68284\n34389 81002\n27889 93570\n21924 31648\n20538 70024\n25844 53719\n39110 48472\n6297 85126\n73337 75038\n36450 67927\n16214 31193\n16540 37896\n89932 93412\n70484 92789\n5088 84189\n16326 88854\n32070 45624\n30904 70732\n12968 81754\n65253 98906\n64286 92291\n54972 61891\n22599 72998\n33342 97005\n4085 98856\n14640 63377\n26456 36705\n2017 97238\n32210 81973\n21166 28944\n65813 80853\n9338 75427\n41833 66311\n13567 45617\n21275 62908\n21816 75758\n49760 60660\n27726 51646\n1171 43161\n47947 84005\n64377 77190\n60418 91357\n53269 94115\n3618 43327\n37119 57241\n46880 97386\n19936 85795\n17026 49351\n6935 42379\n648 30519\n24382 37378\n8377 39964\n51870 63881\n18168 85012\n54224 69293\n46426 54584\n70033 93833\n81117 89298\n43765 59403\n30115 56267\n77023 91114\n89963 95216\n38438 61186\n22176 97675\n4578 49667\n20037 40863\n69224 98506\n31968 47154\n22199 27563\n45236 76755\n62012 85148\n1852 73568\n80356 85587\n30669 41126\n6770 58353\n55405 88006\n8411 71342\n38101 80679\n50007 72692\n30069 49004\n26040 74397\n36427 91433\n16727 70763\n43992 99112\n10337 35022\n26169 39392\n14911 29395\n13567 13690\n40694 54335\n69595 72097\n36004 93755\n6256 33070\n76809 82051\n14879 42388\n65122 77952\n23674 58366\n48252 52655\n2471 71880\n15123 79859\n14707 29739\n25698 58696\n26506 63089\n45587 52245\n57344 71767\n1468 75793\n21101 62161\n60749 73935\n36465 97410\n27674 72508\n30641 42155\n66432 86121\n8388 62109\n30441 56520\n4416 9803\n46219 69020\n12761 60224\n36607 57919\n56762 85544\n15726 24950\n11660 44919\n17110 56062\n41565 81393\n83662 89260\n10898 81401\n58585 97385\n13144 27500\n89535 90494\n39121 60131\n77702 78835\n51915 76945\n13271 98796\n55932 96966\n49450 88943\n8068 75622\n15783 25990\n10959 32434\n65536 92232\n14180 65800\n27035 46426\n36548 67212\n12524 16176\n19700 63216\n88838 93290\n10525 84381\n94231 98564\n43642 74583\n17010 82614\n31655 98602\n50369 93110\n33256 97657\n11352 37247\n42693 49933\n55613 65499\n7928 93348\n8759 25401\n52514 83372\n12343 39537\n24926 27549\n87788 97620\n11587 98585\n5342 69188\n57773 83517\n2668 92552\n38287 72404\n49021 76349\n13718 78158\n24791 92684\n30275 81792\n53830 98195\n15945 57747\n27864 29608\n20219 43983\n62579 93698\n47815 85184\n59047 98507\n26430 26617\n77611 82915\n11420 22230\n78755 94755\n33681 77353\n16985 64613\n20956 86894\n28665 58184\n10827 12419\n2485 99077\n60878 70405\n37906 40763\n33877 35988\n53766 77624\n27343 63419\n61340 69224\n8336 15983\n49530 74266\n23674 59391\n6097 49221\n13884 17580\n11792 45552\n48370 50892\n35439 73993\n68669 82506\n86161 95335\n56389 76094\n64843 92040\n11941 68290\n32366 42749\n27680 80312\n4503 37118\n50740 93420\n15341 87545\n21789 43036\n43076 81089\n9056 21263\n61723 66305\n24006 47103\n39445 52344\n1607 36563\n28144 67393\n33829 77411\n6241 70970\n28683 35214\n21776 77546\n9209 26253\n38112 39580\n46353 60293\n4031 53249\n78302 81696\n35702 89434\n9488 72922\n57761 62828\n60406 60503\n4101 54820\n1451 9486\n21946 46765\n9750 21140\n14007 16148\n47028 89107\n31786 48690\n21317 93301\n13319 35708\n74184 88815\n33476 52197\n35643 64744\n47922 56161\n46686 84488\n15659 47379\n32615 81565\n56260 98686\n86 21432\n6608 44936\n53204 82909\n4590 46305\n73149 98405\n44684 91552\n37035 52984\n13902 86057\n10609 92921\n44757 95100\n41970 91801\n64229 83224\n19898 94615\n20774 47679\n72464 89606\n38197 54683\n3793 5813\n37995 71169\n50965 62429\n26989 40316\n19871 72444\n38237 80594\n41657 96631\n10445 43461\n34753 80448\n23840 63552\n28292 61877\n3758 57616\n10042 96200\n37587 68245\n3576 47327\n71538 81204\n8312 57526\n52108 65211\n2079 6029\n81537 90722\n34884 76724\n11739 82946\n7406 28938\n45665 55717\n44134 73652\n18222 58107\n37594 58929\n14781 45958\n35538 55287\n77816 98790\n19237 64131\n15744 48529\n26744 43279\n26630 46754\n60780 96586\n400 9420\n25057 73907\n34501 92349\n15468 54348\n9281 78096\n40594 60014\n41731 84667\n6324 19025\n4477 69720\n23760 35532\n32140 93606\n40924 87434\n41787 44627\n64745 88380\n9721 24944\n35111 60145\n39843 96587\n44306 57287\n4116 86797\n2546 55196\n6245 18758\n88205 98807\n35931 47812\n23390 63676\n62841 89526\n72086 91215\n12314 98904\n23985 45885\n47349 79658\n21499 97581\n42327 97961\n32982 92540\n15661 55041\n47718 63269\n1563 47302\n16629 50772\n54593 73099\n64432 93806\n36951 38458\n13276 57347\n15455 83490\n7845 20999\n55906 78643\n3512 98565\n66951 81240\n59109 70237\n7035 44851\n16015 16847\n30713 67936\n12390 36818\n53117 81180\n11385 56977\n20364 93051\n28173 96663\n68856 94125\n38266 79786\n63957 74729\n13680 48218\n6106 77722\n16559 27920\n50238 90249\n78659 83532\n25815 58206\n9532 78903\n215 65405\n37955 49097\n81168 94563\n15761 36955\n45754 50880\n10110 62591\n18484 93623\n14479 97285\n6798 60407\n26426 72459\n4602 59506\n40417 54343\n4011 20091\n7965 50124\n41274 96553\n53163 98559\n30683 36838\n471 19457\n14791 17004\n42459 79021\n4305 16984\n29180 98786\n11027 86608\n77874 83177\n41877 63866\n20711 65842\n9971 98516\n21863 77363\n32720 38211\n16479 74113\n48711 96504\n5786 77596\n1175 99843\n29249 69170\n37489 38182\n78636 92322\n62506 75266\n80640 95345\n6504 61031\n70082 93139\n8794 31340\n39769 53598\n34565 84581\n3398 72071\n31795 94830\n32308 63649\n58141 65778\n68574 72301\n57026 83158\n42553 59162\n13800 95046\n10028 96627\n15611 88127\n18086 25954\n38427 69820\n74110 86602\n62117 78284\n7259 98351\n86387 94840\n68848 83084\n50 87732\n23383 65717\n5182 91978\n34734 63895\n63069 94613\n50028 77841\n13343 65224\n23455 67664\n51020 97664\n87717 88639\n44108 71813\n20697 21737\n12713 29080\n9645 89464\n2443 96730\n53721 86677\n62365 98464\n6667 43441\n11903 90754\n15963 61131\n55885 69709\n73498 77031\n895 96174\n27965 63198\n67617 85605\n26923 51625\n5114 67262\n37150 78023\n8900 57501\n8253 89884\n52096 98385\n52504 84107\n23306 82227\n53301 65549\n55822 78491\n36097 98687\n10085 83218\n35685 39761\n47160 68821\n53589 84812\n23716 26489\n5462 88303\n48911 69092\n33668 88211\n22607 38434\n33563 65855\n16227 18275\n10820 50617\n22399 33436\n70810 70922\n21809 29374\n33253 87164\n19507 90618\n12431 16316\n14849 38458\n46859 56598\n51008 66593\n50883 85476\n2303 8801\n19293 23464\n35792 45821\n19408 67659\n49763 82908\n21533 96326\n49665 70257\n43718 68383\n37091 38411\n737 85537\n3173 56268\n52436 55023\n14470 88491\n7409 62755\n50989 85335\n68655 75077\n20532 88633\n56236 98966\n55402 71280\n39461 51355\n5330 56172\n2171 93492\n980 10360\n22007 94415\n34757 41945\n1647 74318\n11583 45241\n1480 70397\n21599 44358\n14916 57692\n46992 72611\n34617 82386\n56291 71158\n22 76277\n18142 18516\n4933 40442\n32449 50864\n81363 88723\n3834 61203\n26351 60488\n38996 40389\n76730 85515\n1598 15422\n17127 29263\n64774 77923\n41729 97462\n37131 83665\n64522 69345\n50353 57710\n10240 56282\n22348 36013\n64961 90762\n76068 84859\n4449 63640\n3034 94878\n37489 79478\n70611 94261\n5401 28644\n57923 83767\n178 31341\n43276 45319\n7774 92236\n15089 27238\n70813 86933\n40086 96020\n20577 56803\n7771 63904\n42948 55895\n17795 80961\n3491 70009\n14722 43487\n36560 60194\n68744 79330\n27771 71090\n1740 75060\n17662 52834\n9443 74232\n52377 60555\n27077 77291\n52190 74019\n21047 22372\n20729 93392\n35854 44879\n38261 39340\n14355 72739\n28842 70342\n16507 75384\n16313 35025\n2494 53855\n43721 96579\n19189 74825\n29783 46789\n54023 75761\n34723 45427\n40631 98938\n44540 73236\n1666 92994\n48942 86278\n66899 69024\n75976 92424\n52913 86843\n14297 38617\n3085 56474\n5953 81012\n9889 48398\n38590 49689\n77337 94655\n64387 90060\n48538 56216\n18742 74177\n57090 57619\n66298 82553\n80866 92763\n37005 39114\n27383 56543\n50766 74474\n10015 98886\n81006 97357\n25829 95096\n79406 98354\n21182 57804\n39799 85930\n36410 55510\n31918 82015\n31710 39163\n80375 82597\n43591 73465\n40433 95102\n6002 82670\n25677 68801\n62488 70549\n64298 67125\n72559 82440\n15150 51561\n48129 82190\n44936 87453\n31892 38587\n15796 66237\n38150 44422\n30652 45958\n9225 55544\n31050 87582\n27960 43746\n22489 32887\n54810 92054\n90811 94070\n4241 63916\n51097 97513\n30517 54784\n22148 85792\n21263 60224\n21219 74617\n73045 73489\n68624 87181\n18488 68959\n23971 80002\n6035 31356\n7853 55899\n23737 59258\n18584 32710\n5223 8871\n33157 91059\n4395 82923\n16379 65850\n65972 70245\n26154 28754\n52595 68604\n28568 58115\n50781 55132\n76735 80720\n46027 77656\n88095 91766\n20090 54217\n38120 43948\n4263 89284\n20103 75215\n2947 6808\n5473 15564\n86162 98110\n2080 88992\n17961 39392\n6493 63330\n35157 69689\n74693 84429\n85526 97051\n21737 60714\n4535 47737\n4548 52349\n73216 91984\n27471 86906\n7336 71527\n54843 62653\n11003 59396\n85252 90290\n26662 46140\n65203 65422\n23470 70495\n7919 88741\n29143 58504\n79767 93109\n42221 45417\n84017 93877\n9471 12353\n27956 71438\n66364 78328\n14718 90946\n1725 19168\n33216 88023\n50521 90261\n64799 92630\n42606 65683\n35973 98006\n22231 95992\n23 9948\n37016 74571\n9108 40614\n29075 95831\n18556 27372\n3087 94499\n34995 71721\n78332 98831\n50042 53653\n20122 88001\n35103 47319\n69274 70329\n54250 59733\n55886 59120\n5219 74264\n21533 95045\n28429 78787\n54809 80258\n39966 51402\n29644 45139\n24971 41436\n11066 73247\n20236 61705\n18283 55013\n18037 81114\n29708 66589\n7123 59680\n3909 40343\n22031 81753\n53429 87500\n6688 40218\n79685 89645\n27469 79338\n32674 61414\n57986 81021\n51866 97345\n39771 55204\n11251 66124\n17683 57387\n386 74929\n82324 92806\n55218 57574\n4644 78645\n72069 83661\n87787 89683\n65719 83830\n4897 9935\n47751 58921\n50994 77297\n491 40902\n50851 58339\n34421 49019\n39342 91048\n26275 69170\n21286 94506\n76523 92517\n16150 83722\n25099 97513\n26053 49943\n30297 39139\n44250 81208\n6402 86089\n412 1753\n38108 50741\n30702 94444\n2282 97727\n43655 93345\n27132 45821\n52395 57886\n37334 98802\n21941 55351\n50247 72063\n17923 66209\n39658 66072\n1187 99978\n19571 63470\n23926 59187\n30729 83553\n48465 49990\n55881 82672\n18844 26687\n46615 84134\n42214 57599\n31309 42600\n56099 94552\n44122 88885\n47016 57049\n75289 79983\n4616 75319\n58656 96597\n28194 76948\n25749 36787\n29343 52618\n18743 63188\n63422 89804\n58805 92059\n33774 64521\n21147 27580\n29143 76793\n39389 44725\n7319 46056\n89495 97426\n4670 65254\n3041 58832\n26449 60410\n33883 50223\n47103 58568\n30617 59351\n59080 72632\n37801 69909\n2605 93603\n73870 98038\n40764 86716\n30363 96377\n32957 85129\n39726 66560\n46356 78539\n42015 57458\n4755 78943\n16393 32885\n19965 90773\n17287 60823\n36095 85441\n20839 45631\n41067 59821\n4200 86713\n61480 93454\n47221 88150\n63442 91739\n59058 87247\n30722 46347\n43391 48921\n70991 77391\n8988 31818\n6464 69298\n41229 50369\n44184 64990\n41294 86647\n26914 76386\n34012 76721\n77437 83799\n23456 45809\n20684 20875\n26850 73280\n19445 81599\n16857 69241\n19220 20042\n54996 55540\n69557 91098\n35836 50772\n11526 57912\n74737 85869\n31404 34066\n75475 86725\n28983 62028\n41158 53730\n35314 50773\n57375 84966\n6051 15813\n33897 41862\n31163 38732\n5342 30254\n12738 13202\n7978 61072\n49504 50288\n26565 38604\n8310 66608\n16891 29356\n15882 96069\n35278 47306\n29408 80743\n18108 41076\n29998 63908\n21763 60915\n49536 94148\n24006 44773\n19202 50539\n46622 56892\n23333 65094\n46553 91966\n3738 15578\n26661 90419\n76167 78542\n9377 51520\n36269 69530\n8755 12620\n68120 87755\n1790 66978\n86244 87933\n91562 92874\n51685 60369\n73080 94833\n40672 58261\n61990 68819\n11873 20052\n66976 73799\n41181 46249\n42847 93232\n37917 60251\n30112 44450\n1734 97390\n10681 99818\n87352 95340\n17748 36654\n60090 63963\n9662 19668\n31045 93139\n33184 43005\n3642 34061\n12682 65211\n15922 94341\n22955 71173\n72693 89349\n16875 79407\n31636 35291\n39993 45844\n32769 79126\n25604 70566\n2003 85653\n49169 68088\n18055 71431\n31098 47761\n27169 32679\n5627 86002\n25399 86463\n68062 74351\n34499 53430\n43615 77639\n25846 40073\n77180 97706\n13434 67109\n10260 23348\n25444 55061\n46965 63356\n50226 81518\n24720 51203\n38694 75229\n54097 79906\n33647 47064\n54243 99914\n82787 86824\n26462 37430\n81887 86238\n79538 81177\n814 9065\n16205 32667\n2974 11854\n12875 41872\n42328 56336\n61120 90872\n10933 51386\n26786 70564\n4591 92504\n1229 2262\n17461 52073\n40070 57678\n73771 87029\n28419 69217\n63756 69770\n23867 43648\n56675 92968\n21048 77502\n9866 67098\n20583 55676\n4076 73362\n57752 63825\n46078 98303\n16565 33309\n62115 93353\n46724 91586\n49204 91889\n5910 25154\n12398 33969\n6393 67460\n45873 79989\n45271 99587\n45090 57927\n11727 96196\n24260 55436\n3006 91636\n403 38739\n49477 81141\n7830 32237\n16111 50721\n516 60797\n30259 52684\n31136 79627\n18302 85413\n23044 73043\n23179 76266\n88655 88913\n16471 66962\n14789 25899\n16324 38988\n16817 52195\n7254 68520\n45024 93099\n67000 67386\n26027 75255\n64905 84702\n59380 99012\n6459 80940\n59700 90925\n7679 81777\n24587 95718\n40545 46560\n59712 71620\n21767 25741\n76737 85346\n21203 21507\n77063 93169\n42504 55476\n42384 92845\n44010 49913\n13069 28881\n19919 40531\n31683 73717\n23739 58479\n45661 80015\n9962 75885\n22213 62996\n30197 49572\n66269 93340\n8835 74859\n72399 76605\n19304 51985\n35861 48596\n17386 31289\n94023 97689\n55493 88386\n33332 37856\n1839 2823\n78591 92138\n76654 87981\n26105 90866\n21068 75049\n43107 72085\n17447 39938\n10616 92597\n1361 38210\n6444 41157\n1580 47307\n88233 95807\n18576 33735\n32561 72887\n23063 94705\n26774 99803\n65030 77885\n33395 72838\n5309 62087\n2518 10111\n58342 84648\n85382 88863\n18477 20114\n9166 87748\n20230 31092\n7478 98253\n29139 64981\n7031 27841\n60733 96767\n93764 98779\n254 96502\n11498 97989\n17715 20345\n8787 80624\n51696 86456\n81350 81895\n78601 83793\n10437 57497\n26478 74464\n25573 68615\n13998 51083\n10670 67295\n17186 84191\n13329 60315\n54893 65659\n24782 34948\n21658 45861\n68561 82647\n38222 79601\n27094 98127\n3598 60102\n13138 18733\n18136 89442\n38829 96704\n6847 78425\n29277 43152\n41771 50397\n17383 24623\n13725 52039\n38099 81028\n79923 93407\n18957 98029\n87946 96658\n10675 75614\n52688 70025\n46991 95249\n14172 65113\n14535 65200\n5197 77090\n21341 69540\n21304 48972\n3312 72285\n24309 83536\n3037 36913\n5507 67209\n37663 75260\n27114 93391\n45266 98474\n15243 35800\n37412 98184\n61529 71324\n4282 79991\n19978 76331\n35549 60578\n700 9221\n61651 98211\n19775 92802\n67733 87391\n49167 93678\n7908 97573\n56699 66453\n73602 85081\n9157 14123\n12815 98242\n26325 26599\n65263 99528\n44666 91310\n2398 20856\n13758 59606\n16907 44112\n18310 50065\n31556 72677\n29350 36036\n76965 93514\n42564 87906\n84718 93972\n71608 99546\n56399 60492\n19882 60657\n71926 74681\n51594 62200\n37521 56107\n16011 59105\n23336 61538\n30115 64552\n49695 56186\n42515 52525\n7720 35014\n12646 72474\n4517 70208\n2015 15124\n35179 59211\n47450 94359\n73933 93572\n27054 48747\n33433 84816\n36199 45878\n28823 96061\n19661 45367\n30230 41365\n55672 72929\n79844 83481\n43372 44753\n24294 91320\n17643 53524\n91662 96156\n12804 92312\n19806 30109\n14567 98826\n59674 92019\n19048 27590\n84311 95902\n45321 51805\n41286 47901\n14686 36655\n21174 29475\n34113 75159\n81793 97704\n73286 83875\n63058 99267\n7188 55237\n76738 77894\n53944 56739\n78798 98508\n30633 92839\n92558 97602\n24976 84119\n2579 27901\n10682 40512\n52911 55095\n20256 65002\n25262 92903\n40713 57763\n49270 64259\n65109 77810\n37049 70042\n70449 87424\n7014 38257\n77051 77880\n66806 83346\n67324 81045\n28552 32664\n73392 77571\n81909 84472\n64694 68994\n32614 41241\n6260 97774\n48784 81114\n14960 37050\n8428 45261\n90034 96155\n84713 95344\n11116 72017\n61895 97506\n54734 98059\n65499 92969\n70733 84280\n12166 49729\n36631 42306\n18532 32514\n32115 96141\n75304 94443\n30021 51872\n51974 88437\n5620 83059\n81116 91443\n14954 90091\n7532 77365\n20296 75830\n4780 74721\n19239 40349\n78073 99316\n87135 99927\n10044 27935\n31097 63288\n62195 82226\n13705 76775\n5632 44174\n14128 95148\n56007 59439\n58711 92224\n76060 88230\n22952 44884\n6752 22748\n557 97053\n5937 45953\n84484 89565\n28641 83100\n18361 77691\n61986 62098\n42391 53648\n17209 81533\n31172 77122\n66842 96129\n56765 72970\n21006 33423\n23354 26429\n64359 75810\n26024 98779\n40555 57081\n33508 61258\n5970 71024\n76685 83353\n50770 51598\n18639 89740\n19934 43943\n44286 88628\n5106 83921\n20754 93569\n8718 25210\n31965 58996\n14205 23157\n47009 70221\n19953 84004\n85157 92032\n28032 95357\n7394 93264\n19738 22904\n1430 68190\n63287 91439\n61116 70930\n16553 74988\n51715 58721\n9419 63213\n32914 59462\n18928 98264\n9119 64076\n73024 91297\n30025 38292\n2222 92668\n61307 72083\n6939 20136\n65670 66160\n60627 70472\n9870 70455\n58928 87596\n62036 90070\n34411 78666\n23214 27003\n13410 80351\n87457 88534\n61859 66554\n29438 79690\n59778 82368\n9741 85891\n29143 56172\n48182 99882\n54722 95599\n57020 76118\n88218 99200\n79921 84936\n14691 57292\n47467 98180\n21214 86003\n63454 75398\n15209 54228\n17071 74636\n23984 77770\n21643 49098\n5883 9119\n45273 67014\n87065 89094\n4444 71275\n56500 87869\n25581 83324\n21982 82318\n2214 31257\n34703 44830\n65552 79540\n20155 95425\n40018 54290\n77390 89318\n33150 85648\n7990 55052\n23285 64731\n45256 67675\n212 87075\n42861 85141\n27473 41128\n7536 23741\n70759 83090\n13014 28002\n13341 56317\n33994 44765\n46591 90252\n30649 51404\n27234 83395\n20754 27583\n5620 6319\n19020 31465\n45566 82161\n6062 74226\n75929 84752\n14866 34035\n18175 91176\n6034 78485\n32220 34559\n43581 50026\n18049 70955\n58320 94247\n347 40961\n17217 67834\n43155 83426\n17122 24885\n39414 96835\n779 62406\n56540 61962\n31605 43465\n16661 73030\n20550 99455\n62793 63408\n17954 42592\n30322 32699\n66444 66734\n25511 44118\n39511 57609\n33054 34179\n74233 86698\n89378 93350\n83918 83971\n30770 73162\n81433 89035\n42969 56741\n46958 49654\n32359 76731\n21962 45443\n33263 71221\n38228 71346\n38181 38362\n528 63411\n10818 84850\n31362 48354\n79372 96006\n3302 37678\n8033 29132\n35326 68272\n23823 90370\n4407 61493\n73313 92824\n5257 71843\n90870 98499\n13648 92742\n19667 88409\n3513 27410\n37611 56600\n64532 77569\n5259 9928\n2208 39341\n5568 74362\n62023 94968\n16153 65752\n54399 64714\n39389 81430\n3471 77416\n30305 70840\n65578 90433\n24330 53880\n53632 97210\n57604 62550\n84489 90389\n38770 96984\n62236 69293\n46234 74345\n4777 51927\n53276 81360\n5516 54434\n30004 63870\n20785 58768\n27743 35351\n39897 52975\n12939 48825\n11105 77308\n1894 34906\n40478 91048\n47461 54888\n1827 37182\n32244 95687\n14936 77523\n24918 88464\n89167 99122\n32834 62572\n3078 51643\n53694 83894\n67630 71490\n4558 75635\n72819 96668\n41115 67234\n2083 70587\n11595 11626\n8291 38878\n45063 79317\n3031 61003\n20779 64211\n14089 45617\n50543 92285\n34747 79937\n9815 86139\n24476 34027\n17884 54330\n42774 90827\n67942 77368\n14349 83071\n1072 6354\n38767 46456\n51285 83934\n61220 89062\n16822 71022\n23603 97295\n62365 69879\n72936 90068\n39671 89861\n11998 82398\n41692 56587\n23762 67947\n4302 61970\n26465 97040\n31726 34466\n25474 67891\n15095 99805\n84458 90782\n26829 37300\n21274 45226\n4687 23085\n85055 95092\n80984 96050\n2134 40737\n36216 92522\n36600 95651\n10929 36677\n43256 68422\n1719 47068\n55586 70141\n6976 84173\n32084 45745\n29989 57785\n12220 43131\n72815 98680\n7060 84172\n81556 83040\n17939 38574\n35684 74375\n32663 74552\n74850 97616\n60736 84470\n19658 27708\n47042 54884\n10561 43127\n5503 36164\n60033 90791\n10093 14887\n78551 80544\n22609 59224\n57033 74516\n49532 96891\n71081 96221\n69364 71460\n83668 98650\n84122 89412\n16175 78756\n26968 33056\n29611 61509\n36896 88342\n26400 53736\n21732 78881\n5787 96018\n44733 81494\n21275 63633\n248 14488\n46823 95608\n69095 91465\n75930 76352\n40819 72027\n61707 67253\n5931 79272\n66394 94000\n58876 64848\n21441 78949\n58984 93821\n4863 59783\n18771 80363\n32844 65968\n21813 68212\n36749 65242\n12051 40971\n46741 54415\n15929 90189\n45367 70116\n16301 93603\n6011 44729\n1803 88451\n5454 79042\n4480 15885\n50498 73082\n90159 93163\n11056 65402\n11862 92128\n47655 85626\n16505 43414\n2108 73011\n40821 86860\n19615 48294\n43495 87655\n21049 23122\n39737 99909\n29646 56103\n57839 68373\n42228 71065\n24173 83040\n35935 72882\n25225 81728\n34756 98627\n67431 68836\n6719 94372\n42699 55560\n14805 16930\n72536 96861\n16810 18750\n59588 74014\n15386 46786\n14644 35645\n7867 57775\n15003 48043\n63183 99923\n21142 39260\n36924 42982\n15135 44958\n31029 77611\n24923 43017\n67672 83571\n74040 92870\n49519 97763\n41061 45947\n8730 60839\n54587 61202\n27132 99977\n10265 21977\n70407 71321\n87524 98420\n14193 31484\n17849 90344\n22738 76576\n22614 63093\n23999 45481\n10350 41085\n34400 50106\n42075 92691\n63357 92693\n58577 65352\n1592 46586\n67188 96141\n13047 82425\n59346 66468\n52700 82359\n2935 91494\n48269 70683\n31967 98173\n78140 81612\n2024 49953\n52638 99820\n59251 97768\n20420 20852\n22385 62591\n1289 16294\n9919 48734\n28859 94989\n82599 86196\n52900 84117\n60172 78914\n10551 15545\n39745 70173\n64771 71527\n35650 76649\n27324 53010\n71860 93827\n7568 22801\n25487 39385\n145 77385\n16126 34464\n39556 78810\n24529 75743\n46380 49574\n4971 34433\n55297 74797\n56244 92761\n28058 86225\n23060 24376\n24937 32417\n30284 63468\n51844 56484\n67706 99512\n36118 69530\n77546 95159\n3295 69731\n23439 49577\n57671 77364\n72587 85456\n20747 72195\n17508 57653\n20523 44856\n92139 98773\n23933 63982\n39511 62105\n9249 10340\n8826 29856\n46332 76118\n12990 29593\n2292 16820\n11676 64611\n15927 25103\n8468 51880\n51649 92144\n55024 78875\n80738 97138\n2801 99078\n37478 48547\n26067 62645\n51111 54996\n39743 72861\n32406 54485\n14931 96318\n54540 80468\n2746 78207\n13806 14503\n21260 84809\n6708 47542\n31114 75697\n87372 97320\n30045 34375\n31665 73101\n47222 89965\n22473 25183\n10091 60877\n82061 91197\n56451 89199\n2466 50692\n32666 71373\n56860 66997\n40628 44929\n11735 59699\n57394 81046\n35479 60625\n158 95945\n30944 33437\n80044 84903\n5019 72824\n63844 73515\n22987 26804\n58583 94715\n4343 97402\n21440 95691\n3343 4382\n65781 79485\n67500 80297\n66654 84910\n39559 50567\n215 83716\n39030 56861\n91769 92237\n24599 73133\n15912 36808\n20143 51754\n9773 35597\n9817 59716\n22704 26403\n21654 71474\n76871 79133\n95442 98293\n41745 83652\n2940 35513\n24179 50385\n3013 91343\n67319 68333\n7507 96262\n49367 87939\n5878 51987\n62476 69844\n8468 92411\n53340 54980\n21407 23574\n19188 43723\n73311 92602\n18844 87333\n25194 26462\n40596 83741\n38948 43531\n35435 69872\n16492 87242\n9803 89212\n525 7649\n51842 53723\n8816 28330\n65372 81449\n32313 68200\n73653 99682\n9034 47678\n12622 65054\n70361 85592\n49947 78648\n21295 66355\n81072 94127\n393 74706\n61238 91901\n7853 25498\n6320 9011\n29437 98817\n9150 43780\n5937 69698\n12144 91979\n95692 99680\n80421 88229\n71597 94266\n66139 70412\n57029 83468\n37381 41918\n32576 39532\n2621 56809\n53220 99689\n18800 31986\n12253 76200\n96811 98039\n38999 45714\n8217 96847\n50078 63079\n89328 97972\n841 8677\n14077 21921\n19991 25971\n28163 30597\n90511 98459\n74707 90989\n57039 83610\n34962 38151\n9269 34435\n9676 57534\n66690 82355\n24097 87912\n26584 56425\n15156 36996\n43752 50554\n23011 86637\n28150 60750\n61182 70005\n45164 69660\n64500 72646\n12783 72186\n32332 76374\n30723 62703\n36162 89134\n3131 21392\n37714 89772\n10812 11909\n16563 70206\n62781 81223\n97594 98421\n66074 95420\n46250 50422\n52318 69797\n25296 92921\n30861 56025\n37620 58823\n24232 64267\n51092 93860\n19235 80545\n14301 87442\n11852 67276\n49133 60075\n15329 67868\n3674 5087\n9250 97520\n15960 72204\n28446 61860\n7574 47681\n20141 68905\n33436 50700\n24013 99891\n8321 63697\n43722 77704\n47133 56102\n15876 44690\n30303 45105\n31914 76596\n25564 46109\n52517 83724\n22581 70264\n84116 91063\n3558 80498\n23190 28881\n66469 92440\n6365 82250\n26268 34279\n11856 22810\n34237 80034\n5309 89619\n48230 96687\n75679 78208\n497 7420\n17314 41588\n3029 85947\n97231 98858\n66443 93183\n75830 84644\n43312 56140\n31980 33563\n5348 68613\n11568 22269\n9564 50661\n19005 40010\n25476 66231\n86935 91691\n6168 86285\n86329 87141\n40354 43602\n20197 37905\n37424 64818\n12906 62411\n14315 43321\n29737 70443\n24907 82985\n2834 74056\n57154 93755\n76 86226\n230 36415\n6193 7293\n65280 99007\n36081 90649\n1427 7867\n36979 91988\n33690 60860\n62353 77065\n42809 99832\n90704 92556\n35214 44629\n11100 18428\n39476 96779\n17210 44860\n44681 74225\n15556 22757\n9361 60376\n31893 91649\n1590 56530\n38465 63461\n40798 69290\n40946 81120\n16644 23594\n33667 62308\n9518 27479\n1084 34841\n11710 36815\n14129 54858\n45341 92421\n34429 86528\n26436 70844\n33984 67463\n20664 88728\n35469 68745\n58552 95980\n43187 53082\n74414 75251\n51395 77312\n43675 90783\n53485 73738\n26683 96665\n31785 85239\n13225 85323\n67025 85117\n36403 63771\n41490 57621\n5424 8839\n7356 60868\n28406 70412\n6454 50398\n43031 98609\n18371 93202\n30265 98905\n63869 78329\n37383 91435\n50085 82252\n59924 69866\n379 63108\n38151 82841\n6633 40256\n32175 44180\n22003 93378\n31171 39845\n27045 56117\n33808 84557\n43239 81893\n3331 43620\n22824 29208\n29528 68423\n26220 84569\n22418 37061\n9575 86534\n54513 64147\n15617 61117\n36680 60954\n33593 95749\n14887 89902\n35322 55664\n54065 63834\n44686 94417\n49902 94701\n47466 50997\n64425 91902\n27904 79775\n59352 95060\n31049 31740\n19698 80675\n51132 58490\n32235 63801\n83437 90343\n64033 80016\n31114 44889\n55374 88740\n6446 91406\n6435 69135\n26429 55637\n61293 99617\n52410 58631\n55059 87559\n32837 51971\n29700 64113\n38341 79462\n19385 27870\n34914 92512\n2642 69760\n53614 93308\n60960 76199\n48944 49419\n15368 70188\n10873 63147\n11235 81611\n62090 68771\n76360 92250\n16703 43102\n9222 27397\n904 91979\n51210 97180\n20364 43964\n15403 41932\n43280 71490\n83170 94288\n5761 95800\n8681 51765\n19347 39405\n39821 55820\n37385 74928\n62452 66646\n58057 72856\n84680 92616\n29276 97681\n12565 27594\n32924 97771\n41327 57270\n61425 83780\n4594 75712\n50149 55916\n60156 65619\n43362 64653\n38235 48467\n21159 74288\n14039 77359\n89660 93917\n23782 32389\n45206 53357\n52652 58265\n32976 41471\n28571 34893\n582 95160\n50416 68309\n23825 91245\n26808 31491\n10391 59605\n59352 85867\n10819 48514\n16076 93099\n38044 51504\n36127 39626\n38467 48497\n45731 99535\n39601 73629\n67368 94743\n22428 92533\n55705 66143\n5132 14990\n51425 71895\n34292 62107\n54247 64432\n43893 61731\n2151 84219\n21793 45616\n5504 58700\n9026 34454\n3867 96047\n44855 74769\n24918 95882\n5393 71729\n7776 28546\n1708 40268\n26047 89401\n53897 61233\n20315 79006\n3237 64360\n18503 94295\n36851 86026\n43419 62613\n30996 93941\n35725 79384\n79850 81543\n31169 76494\n46038 95005\n51280 96556\n7672 83076\n55784 90915\n22823 36946\n12441 19056\n87043 90609\n38785 71309\n15377 51636\n30821 56246\n8559 11857\n61155 64494\n36295 79446\n53702 78867\n4686 81340\n11086 31005\n8544 23473\n40734 42410\n94894 97913\n34579 47805\n12713 56365\n8612 51404\n34398 64114\n28755 89542\n31585 67835\n7040 26711\n63062 70964\n6496 11041\n18356 71895\n28678 55737\n94764 95551\n19935 92133\n48097 67856\n18713 69841\n18928 89629\n45943 56612\n57563 64186\n51033 85777\n72852 80669\n44187 83682\n8116 12027\n14351 48813\n22727 93653\n25302 46747\n33510 47394\n76587 97731\n38294 64884\n24818 56500\n3093 45655\n85320 93205\n24923 53756\n47612 49337\n30052 95152\n7450 27303\n88543 92891\n14232 15722\n46971 63416\n2332 60734\n24795 46894\n59060 62444\n24698 40102\n25705 56466\n51290 68629\n6313 79664\n55055 78651\n4254 12897\n38672 48790\n39555 50725\n78240 97739\n39468 90989\n7480 32450\n6620 45122\n93548 93759\n47319 56491\n13797 44459\n36319 75066\n43924 68205\n70910 91742\n8863 55377\n73679 86403\n30619 60123\n21856 51422\n32031 73213\n31750 92648\n63015 82683\n8150 18304\n29128 47428\n17643 74255\n68807 96054\n24678 71106\n744 26895\n5094 69103\n24732 80698\n10801 89580\n39794 85975\n63086 92312\n12457 39013\n9835 85538\n2362 11316\n17550 72583\n13921 20666\n57412 97503\n72897 79541\n60071 72466\n783 34944\n5622 96427\n47350 56294\n15642 26186\n24301 69597\n58711 96432\n79991 98635\n5611 69101\n76910 98885\n1500 60412\n17034 75523\n75197 76052\n73979 98835\n77048 88687\n1821 49730\n37463 99555\n5815 84569\n56027 95011\n3508 52327\n86796 95764\n33978 53817\n65815 89985\n27496 62809\n72655 93139\n27443 64799\n18028 89574\n11837 98747\n38387 46959\n48243 99303\n81333 96499\n54730 86196\n30070 76111\n66852 70959\n86127 89883\n55792 91648\n6904 13773\n22296 51717\n11770 20875\n22886 86537\n59563 73860\n25784 87333\n80457 90171\n41034 57236\n48861 96613\n24482 46826\n67836 80534\n4347 85919\n31926 37381\n25487 35902\n16800 47645\n10964 23448\n33383 93533\n65595 90835\n11957 97960\n27326 49139\n14708 25609\n22500 62891\n18191 54520\n7464 57616\n31855 53160\n19928 55761\n85513 93147\n2320 55341\n79905 80066\n13388 91245\n22674 49513\n26310 59391\n38519 86605\n22674 35329\n19104 98642\n38762 62971\n34324 36743\n87322 92820\n67788 72595\n60252 96334\n2913 89411\n18652 19681\n23435 89407\n76481 92383\n79639 89335\n41971 63995\n48298 83618\n28308 47916\n70755 74766\n26217 92843\n21712 25062\n39029 91429\n13579 95193\n59043 69296\n4260 9297\n7610 73232\n13205 86398\n60653 90739\n52716 69242\n72294 82219\n38446 58314\n34780 49922\n25243 59815\n15256 54554\n30541 70926\n25349 44041\n51541 72606\n11983 54000\n45978 55207\n45309 69609\n31767 48751\n41484 52181\n75094 98078\n27566 91597\n790 54982\n7327 47728\n18461 35074\n68382 90045\n15367 27428\n1248 39240\n14321 30921\n28557 89415\n47135 95423\n30725 61042\n25721 67338\n26852 97167\n19792 94816\n40292 61198\n10989 94958\n54912 67991\n21135 71061\n1807 35337\n10768 51012\n4118 67246\n31326 50683\n23671 38029\n36767 83607\n1253 26013\n58957 64667\n78177 81311\n59576 60508\n29204 90759\n27488 39445\n19187 99062\n31 53004\n53155 89429\n6661 60692\n2134 30788\n1465 90979\n55409 65374\n21614 37193\n40292 74065\n25691 33085\n21813 34912\n26150 94320\n32105 66292\n20701 62110\n72502 89043\n65578 94535\n17460 40698\n41393 55096\n18758 35853\n6842 85125\n28423 55568\n11207 32170\n31431 85217\n66933 96566\n69963 78342\n51906 60267\n12003 93666\n59785 98873\n22130 58453\n77135 96570\n74648 84037\n1694 41674\n28232 43812\n3644 42315\n47477 60490\n15687 94998\n1555 13861\n42308 70894\n60537 93816\n3279 88281\n15478 21873\n29009 94629\n33369 35468\n45716 71412\n20646 54850\n44778 67810\n49278 96805\n11129 60749\n77583 80778\n5888 11302\n65854 85503\n63405 70085\n43996 81067\n62902 70832\n6777 25864\n71093 83122\n34601 94709\n33701 35441\n26120 79530\n49736 80485\n24585 60798\n25330 79207\n34102 43460\n45432 71428\n37304 70034\n7667 29058\n54974 94553\n90713 92982\n3766 76176\n22130 98549\n59715 81516\n12942 73675\n35143 75881\n840 58892\n30120 38165\n63880 74121\n8428 92756\n8548 42596\n19405 97768\n9714 45812\n46754 67780\n36821 75193\n34869 37625\n16972 17706\n24658 45012\n70941 82619\n77071 81051\n23221 96273\n32296 97045\n484 76136\n2915 36308\n54243 57090\n11616 96961\n45825 68417\n62879 73488\n21610 78773\n64238 88224\n52872 91805\n22663 76337\n85020 96546\n16214 86405\n16896 50660\n625 78880\n22962 64818\n50667 73520\n85519 93028\n41100 92328\n23 94844\n64686 94964\n54068 99486\n26107 82141\n71044 84223\n36893 59812\n32570 90815\n6051 13277\n92424 98395\n31538 72510\n58270 95816\n57440 64730\n60947 91383\n2554 54536\n25479 87544\n2845 82799\n79552 84423\n59255 91304\n51469 93212\n37071 80861\n53447 94992\n1090 64093\n52758 58361\n62965 96790\n9743 89015\n46612 84744\n4354 8307\n35025 46378\n4272 69268\n12693 92931\n36307 95081\n27043 54387\n41027 46167\n37870 99510\n25571 31190\n12148 62466\n52005 86221\n24527 51430\n12560 85677\n3127 98522\n57210 57447\n80177 85637\n10292 28374\n49378 50752\n72447 74292\n3433 32308\n11513 88339\n76 48880\n28129 54268\n1059 8429\n10286 78396\n37056 73998\n25856 53581\n18391 39629\n48009 85908\n31870 70540\n45147 96420\n147 1899\n23160 66802\n4185 49531\n13600 77508\n39433 95899\n32865 66252\n71602 85291\n24476 74019\n76493 98603\n43757 64308\n13323 82036\n32172 63592\n55377 57911\n38650 76946\n53271 56950\n71427 90627\n70610 91915\n12846 59362\n45902 95202\n84310 94021\n655 99200\n31720 64967\n31414 35199\n17162 31525\n11734 37678\n52198 90962\n4542 35162\n30628 88710\n8756 86868\n1892 65805\n33496 83343\n16369 26248\n9537 70393\n81983 94479\n97940 98328\n43824 81441\n8890 28421\n36090 37826\n8089 21998\n25012 42789\n8239 85411\n3668 4652\n82 34761\n56477 85928\n9075 88012\n10067 54324\n14629 76170\n89563 94175\n44435 83446\n21538 58036\n5867 36989\n11219 79897\n54730 88938\n29959 55665\n60961 74256\n1399 19733\n22824 49736\n23712 45868\n43233 65471\n31489 37053\n67867 95421\n42499 66988\n92583 96895\n43245 79362\n23154 90624\n67643 89104\n22873 83961\n55295 85168\n19600 73156\n66464 76590\n58815 71542\n3742 83584\n24295 97016\n13858 48459\n73269 91617\n13318 42722\n50615 61174\n21546 52713\n4636 81222\n67825 89286\n921 46053\n12982 25792\n75450 75832\n12011 17789\n24351 32720\n4135 84985\n26793 84258\n19043 62144\n39524 86216\n14534 53481\n44970 48976\n8605 48423\n51201 56051\n55515 91476\n24997 33327\n13063 68163\n30142 70932\n29219 77235\n17000 56612\n40880 50716\n1445 98244\n1311 12820\n6179 27327\n5271 13075\n33750 54395\n76172 87029\n13156 83584\n86238 87246\n941 66714\n19863 44218\n53357 63643\n36273 47031\n74900 86434\n26820 58840\n28897 61881\n68917 81254\n11004 26344\n41638 91417\n47703 76014\n26348 55433\n45949 90375\n20428 72810\n28801 80946\n4591 64522\n11436 80446\n53973 80116\n14572 60678\n11201 88087\n174 82906\n19467 80227\n797 66759\n72150 80292\n55128 76435\n49773 89737\n70889 93279\n48420 67298\n39941 90561\n52380 59256\n32199 94707\n27361 90169\n28279 43311\n22410 70547\n18618 95320\n36116 68528\n19209 76959\n5784 20491\n29657 49426\n40906 75458\n25952 95121\n41996 75659\n78851 97938\n8475 28327\n43741 67317\n10404 32854\n48145 88613\n35577 65720\n19382 26853\n85547 99467\n12767 38673\n23440 62004\n22310 81665\n70410 74024\n24864 76832\n31049 31172\n57906 78203\n35044 38451\n7750 27988\n30935 78043\n32980 71463\n53390 61181\n8832 46114\n46933 74737\n31878 43147\n81030 86387\n32075 69561\n475 60691\n30502 49333\n58859 90530\n70394 95854\n17718 51690\n43895 79811\n9292 36849\n45073 48181\n28172 59887\n58697 59950\n66674 85043\n9402 74327\n41565 84064\n19390 38583\n25357 51911\n35961 81607\n33985 79888\n47046 65908\n71226 76692\n2964 71833\n29144 41014\n11983 22290\n24803 56593\n29094 71471\n32901 38611\n15645 50513\n52839 63273\n12220 70493\n14318 45863\n17161 99253\n32525 64762\n18893 82336\n71230 85558\n20830 26037\n42850 69829\n4217 21359\n58126 94219\n43068 92676\n29740 57099\n52255 68012\n27065 69123\n61924 67286\n50897 71199\n36813 73382\n33245 51458\n50765 67491\n62152 84337\n83626 86050\n38020 43138\n10831 57990\n16848 33789\n69449 73923\n54390 61649\n25241 73910\n1014 24133\n43248 54397\n55854 73512\n17142 71830\n34592 40907\n22441 28645\n59562 89572\n16420 75058\n10178 78100\n64330 81735\n20239 35843\n5595 99495\n52133 92131\n12686 47678\n45141 59385\n63571 88181\n86595 97217\n28837 44179\n890 59750\n12710 19730\n44494 64087\n5976 85419\n6537 25779\n43909 78812\n36872 76961\n36462 93525\n19048 53586\n59356 81909\n68916 81322\n63714 76221\n44521 47213\n62174 73440\n75818 76988\n2823 55211\n41431 74444\n44137 92177\n89687 91020\n49017 75108\n24917 33549\n82289 82704\n44490 50854\n27808 86220\n52117 56816\n22493 24053\n26508 52135\n2085 47261\n69800 70506\n31029 57317\n32365 98725\n36398 63139\n30717 44913\n79348 94717\n16662 86811\n21776 48129\n17872 62671\n19127 76098\n91691 93075\n1654 49444\n38800 45108\n21055 70080\n58679 65908\n34126 41721\n20472 86892\n56843 90166\n35130 65435\n43208 97381\n73847 99047\n7347 63866\n12180 50954\n5723 98632\n7242 98357\n74403 94664\n14489 53852\n20649 52829\n2266 77552\n27873 69078\n37874 44444\n49105 77446\n44384 49607\n3009 7476\n28021 31839\n33746 38966\n1109 68719\n967 58570\n46749 48330\n15044 25440\n54137 81781\n5686 84119\n28649 30808\n16356 16476\n1548 11476\n14147 34775\n33154 65158\n24086 42456\n61723 94358\n18399 42732\n34677 71935\n29863 45650\n78491 84006\n4115 61224\n8961 47836\n10749 88868\n39218 69533\n30981 91943\n3840 34814\n41576 84068\n34463 69540\n51869 83941\n67336 75451\n76295 95336\n24367 25445\n595 98141\n1419 49887\n57036 80273\n39674 59069\n60754 79301\n1498 54092\n40557 91692\n79029 98082\n81673 87154\n18313 28803\n90722 98840\n16160 55537\n3125 60562\n40889 89763\n76897 99108\n60027 75893\n25886 87611\n39333 68825\n5702 14519\n54447 71300\n19290 55778\n2278 31713\n13833 21905\n31303 49650\n38099 65237\n9174 24327\n29044 77757\n64297 83393\n43009 82838\n2742 42124\n25432 94648\n20502 65179\n5173 39827\n5693 81263\n27002 82329\n21698 26084\n51303 71931\n49732 70917\n6667 53336\n22456 82999\n48918 87468\n8678 19042\n49719 71773\n43854 75696\n58442 92776\n22796 94125\n79809 79869\n84336 87092\n82443 95725\n55198 76787\n75612 99355\n14870 64198\n81954 89175\n14718 20561\n75239 95639\n1924 89345\n50788 72253\n3156 87393\n19697 93637\n70552 93347\n33459 47357\n20526 69651\n30365 51783\n51832 53327\n6286 70413\n40833 50825\n17419 63599\n8015 40842\n9206 19019\n23616 72261\n55933 87264\n2936 83345\n9977 15693\n23505 80463\n68631 91755\n16248 20539\n59097 67109\n44989 76835\n18458 29242\n48179 99265\n51532 74641\n15932 19785\n25300 62987\n36337 84716\n36950 57574\n21154 38976\n7541 39424\n7369 14304\n70536 89354\n32178 56419\n68933 74701\n13234 34815\n10643 18397\n74255 99381\n840 22163\n24844 81941\n39596 43308\n22265 96876\n17570 78117\n58388 76345\n43998 92755\n21120 72269\n12449 81577\n44634 76157\n26075 68587\n33228 50279\n4543 94490\n18989 48073\n16825 30093\n59972 65708\n39147 64526\n35029 94600\n28106 82755\n9027 24283\n1662 99075\n67761 95781\n6924 52298\n25577 59684\n36757 80368\n36108 99223\n54750 84698\n23711 76863\n25816 75269\n41164 52213\n40977 62571\n3400 10631\n55041 68260\n35783 81794\n62735 85105\n72188 73448\n86046 93649\n14422 40768\n16088 48692\n16037 63183\n22519 75367\n19556 90439\n6750 13391\n6925 54526\n33800 70340\n38168 61146\n59257 70385\n15035 23620\n72344 96201\n11046 26466\n10491 93443\n57005 60146\n13070 17262\n68710 92850\n45555 65697\n41083 74838\n29685 80933\n15844 73573\n40490 81623\n321 74939\n44506 53315\n17474 63812\n2764 55346\n9027 17579\n24621 67006\n26184 55246\n34431 71846\n12459 47875\n10145 96821\n907 94248\n78786 92618\n2064 91159\n79512 80413\n27 2910\n35847 59461\n6444 45055\n12220 55069\n185 63745\n1286 37595\n19382 41643\n75347 80331\n5786 27386\n64029 83646\n41668 80901\n14796 59797\n22151 42101\n63156 74947\n14485 36524\n18290 24674\n19356 60933\n5720 37122\n19441 45337\n16259 30488\n34683 61839\n26059 55095\n38964 51470\n60158 75703\n19435 80623\n96616 98941\n8195 17160\n7282 40138\n5233 13082\n9062 81656\n23261 90636\n26332 49362\n84343 85656\n39796 58565\n16257 28843\n9497 99644\n12391 78260\n35629 96640\n28686 39659\n14247 50519\n5244 98145\n43816 85237\n21323 35276\n68738 99527\n5369 29571\n15526 99783\n18994 48396\n7579 76506\n72919 80848\n3641 40203\n4575 42755\n4671 23134\n54770 82592\n7180 51222\n15174 39407\n76968 92402\n31307 58341\n92964 98414\n16139 63650\n68358 70681\n53951 63728\n20608 68756\n79087 82754\n46149 92940\n24148 47395\n45573 82638\n46271 69296\n9604 75046\n41434 67818\n58316 82713\n7913 83730\n69317 93414\n43183 67918\n13846 55289\n10591 88586\n67857 80335\n26484 56069\n67597 74313\n22060 95712\n21997 64731\n4827 94886\n36133 68660\n8204 68991\n29195 41972\n85844 86551\n11037 29827\n58777 80577\n2126 31567\n70260 77578\n45400 62412\n74552 95298\n15496 30433\n62340 71224\n44747 83270\n59290 93931\n17138 58587\n27794 45741\n55290 79547\n31231 41101\n26771 35912\n3755 31313\n60964 91701\n27251 86997\n61176 81980\n2557 84883\n80049 83705\n65501 76552\n18551 64743\n13369 36293\n76393 91871\n2268 39631\n53798 54118\n42763 81556\n56389 83896\n8937 19265\n58633 59548\n18585 95443\n21329 75123\n64755 99005\n8952 23366\n1791 78668\n24072 66365\n12212 37000\n1174 77643\n56424 91294\n5845 16502\n75907 89985\n75898 76707\n62420 72482\n7851 48408\n59252 98168\n71966 97755\n27186 88595\n41482 53688\n27117 38601\n41387 86614\n70427 71631\n54605 81253\n62626 97464\n40201 52702\n15125 78099\n1668 20735\n56799 72609\n67469 88601\n7223 9458\n73478 93158\n59758 98552\n7118 23498\n49117 98528\n51412 99762\n34167 43416\n58760 99120\n45053 57591\n42191 95760\n60653 95482\n40546 62247\n46631 46835\n15326 31902\n32009 75233\n10992 33499\n26593 64278\n51186 84661\n6471 9921\n6099 92692\n11438 60465\n39143 95897\n46710 75923\n11024 78475\n36035 93580\n39520 62536\n24139 49120\n36288 66937\n6276 93462\n7952 43276\n32294 86098\n49160 87319\n18050 41315\n8353 93408\n58147 92646\n5591 31711\n17144 38451\n21958 35630\n56162 63565\n16953 93875\n17536 81281\n2553 71757\n25935 83332\n50752 68123\n12517 26575\n35893 91357\n36293 65612\n16012 16047\n59370 75935\n82281 87936\n26592 41536\n58766 72836\n13837 21923\n709 96102\n49437 58231\n58313 71020\n58133 96155\n56317 94468\n83481 97675\n41914 69764\n21512 33189\n40185 72770\n70324 88909\n90233 90407\n3361 78208\n87379 99368\n25139 70289\n10399 52443\n34267 96777\n40106 57610\n52163 74680\n39695 69275\n40363 43235\n55539 63149\n40464 90219\n64544 98916\n12369 33332\n91774 99348\n2557 76670\n44811 50399\n12409 50037\n13601 70808\n7123 47518\n53350 73118\n7197 40546\n47956 92246\n35259 93012\n25931 42221\n63412 84903\n38239 39888\n6901 61011\n48083 57601\n29859 81811\n45526 83594\n21292 64026\n55796 66972\n36331 46670\n3337 41661\n17153 71181\n6625 32952\n15378 45199\n22118 47196\n15258 17996\n38403 47308\n762 25015\n85458 92184\n27468 44467\n24478 56732\n34753 48549\n9250 24355\n82243 91623\n53527 77989\n23889 42301\n17034 28567\n10134 66469\n21221 93602\n26576 47183\n17309 28290\n51001 82804\n2199 75578\n3427 13123\n13446 24345\n23370 84059\n7876 34886\n18509 36401\n11529 88521\n43217 53073\n38783 45762\n38990 71207\n67402 72584\n20699 47385\n63150 87032\n52160 53455\n2528 63950\n9101 53270\n20339 87722\n40073 78109\n64241 91401\n7900 10377\n42131 92833\n80704 80902\n58015 81377\n39190 42980\n15227 63491\n8022 88128\n59041 87591\n18210 23002\n81082 86386\n67540 70064\n57567 91037\n61838 78342\n19612 31783\n10334 94112\n30501 51297\n29760 85269\n34015 59764\n67873 84836\n44466 85235\n464 3727\n36711 53510\n15830 35013\n14361 86372\n17514 70317\n31773 49717\n85938 86242\n46543 94582\n62704 89931\n920 20216\n60872 87885\n24943 93610\n63051 80362\n34837 62397\n21741 65167\n40964 57352\n10812 80639\n51765 72217\n53649 84559\n56324 91977\n22428 98785\n12920 49006\n31684 78450\n66194 81693\n8625 60433\n36450 72501\n71838 77408\n26425 79368\n51451 73529\n21168 82997\n40136 40298\n62719 92106\n28466 60820\n43399 80922\n32725 74353\n41775 86469\n54487 94902\n7814 53486\n23673 96986\n30819 42531\n29041 48875\n9226 62888\n47320 99988\n21568 89953\n5590 95374\n32149 36861\n46115 51863\n2066 12474\n51241 84138\n82790 88655\n4339 32604\n58193 91505\n44193 94518\n61370 71467\n27104 99070\n21982 78658\n43991 91212\n18244 21820\n1551 69682\n771 10501\n74204 90958\n32684 86508\n29918 78503\n14311 14734\n10755 95081\n80613 93877\n4217 7642\n43044 79931\n24955 49009\n2290 40100\n68100 98539\n29370 57191\n32803 76230\n23006 49602\n3961 31365\n19283 80988\n86654 95701\n47583 78351\n40369 69747\n55 35897\n55464 62517\n39120 74159\n93285 94232\n1427 33439\n32997 92903\n33315 36389\n12418 69946\n43116 67063\n9835 19511\n53943 62001\n22124 93039\n32054 96828\n30576 76766\n90685 92759\n36698 77468\n5360 7927\n35920 41856\n338 26330\n61214 61754\n20353 42767\n43805 87545\n67818 71025\n20158 60815\n18973 57869\n23170 38160\n42500 74465\n72138 98286\n41983 53167\n62016 90100\n13220 32986\n27365 97020\n21673 84133\n67721 86446\n5665 38480\n15068 43475\n44360 47383\n44916 56338\n46786 52657\n15053 73014\n34637 44514\n34644 84765\n37736 52993\n6651 15019\n49273 55580\n17818 71878\n38604 56229\n7951 64561\n48108 87392\n21391 80988\n42 14333\n31421 85994\n84226 99718\n22761 48650\n34456 71237\n48663 64268\n2787 45222\n24345 37993\n15746 68669\n69104 83826\n2466 64801\n38873 81804\n24548 25117\n15873 73380\n1370 30736\n33091 70892\n4417 32494\n8372 78131\n11852 67031\n123 33000\n60710 91006\n27570 65379\n3272 52312\n13484 91057\n8971 11469\n19016 93268\n64124 87938\n12130 18104\n36136 65875\n11670 28855\n23664 51696\n53535 78055\n12801 89918\n8778 98595\n61386 72515\n83572 84974\n29109 95393\n48159 50382\n52504 89390\n45691 69833\n27118 53004\n44135 90179\n38290 92126\n23489 42881\n35254 60024\n7214 92782\n17790 30478\n37941 99492\n4358 60626\n33295 67682\n15900 83946\n14762 67113\n51214 76511\n66629 87614\n30435 55468\n29659 77198\n2049 26387\n22554 33362\n7659 99452\n38697 45290\n6437 57137\n18868 92284\n60969 96973\n28003 89602\n25792 57144\n44663 56978\n12646 71208\n5405 93121\n655 61397\n42115 84497\n91478 96990\n13410 44716\n37000 38936\n41741 96426\n68164 75727\n21504 54353\n33262 75821\n57278 88140\n22174 86482\n23809 91228\n3825 23175\n35647 91518\n29144 58051\n71131 87567\n17326 37614\n44696 60726\n23619 80157\n18329 25139\n34105 87452\n28033 86930\n84187 86474\n49937 90544\n53567 97758\n26725 60509\n23509 49310\n44617 66314\n3334 29681\n49384 95336\n24579 43131\n10392 28004\n15883 58881\n30234 89887\n75563 83244\n28414 38210\n30213 32361\n46381 96016\n16300 84189\n76884 78375\n44743 88877\n18253 59939\n390 97982\n13089 60036\n10302 94261\n57817 77267\n4546 20040\n5319 96493\n9911 71381\n28487 77653\n35064 40099\n70564 78232\n59754 85593\n56546 58576\n36359 50732\n43751 73800\n14828 95709\n23946 37675\n26037 71722\n66589 90185\n31007 37554\n64109 85654\n38509 41205\n17353 82439\n23357 83942\n48192 69161\n42472 84552\n29109 58209\n48261 89265\n32073 71759\n26319 95652\n51692 72000\n49108 84127\n46501 60798\n1606 22431\n41934 74133\n65577 70174\n48769 74670\n38434 90711\n7371 39851\n33124 85861\n42422 81122\n58887 60982\n64885 65710\n74959 77004\n15609 17589\n18258 48485\n57843 57937\n8534 91618\n46364 79533\n11112 23508\n67820 97415\n70633 74031\n57547 58120\n43545 68831\n7105 11809\n41635 74756\n59648 96181\n2448 46777\n19017 53264\n54610 60550\n2296 58277\n23042 87490\n32028 61398\n10782 20058\n6231 11451\n82801 94958\n77350 85664\n23916 50588\n1323 80127\n15278 67198\n90204 98368\n33165 53623\n5119 43606\n53153 88166\n51066 91207\n6005 32105\n24634 28394\n32204 47618\n49185 82303\n3664 36093\n21459 37746\n49333 59709\n12085 64176\n17629 77807\n14314 71548\n28352 33139\n9342 79232\n4203 91477\n25108 61857\n17200 83180\n9892 77081\n54052 95725\n60968 75425\n27175 44146\n40759 47547\n3875 45433\n57245 64794\n1666 10596\n31714 70696\n10044 58478\n34776 40717\n55584 83871\n46582 46730\n78060 83493\n40208 83421\n40116 46544\n13514 52720\n52635 80665\n9094 29262\n9295 67771\n73427 94936\n3033 93383\n57433 61222\n2633 43995\n12873 84041\n26471 49681\n61303 88533\n32468 48234\n36236 91217\n40243 57199\n40220 61229\n362 63172\n8644 92903\n83505 86254\n38947 99533\n8970 20741\n15628 71122\n11167 78625\n31525 38760\n46935 59836\n608 53663\n37365 38533\n27392 62424\n7200 23861\n71145 74942\n67626 95594\n65171 89111\n12541 43234\n67720 81019\n76089 79832\n52400 82569\n40307 76997\n50902 52216\n17103 97786\n25677 90419\n11295 14291\n26525 76368\n12019 49423\n36089 45367\n53124 68834\n19383 57934\n3116 6291\n2606 71701\n17810 42595\n30386 60664\n24677 26094\n25636 33359\n6078 12029\n44657 87530\n23388 91409\n48365 93917\n7392 18527\n22834 68841\n36892 50916\n51854 55307\n409 95493\n15490 26805\n19065 67254\n86521 87173\n38910 41898\n16953 95061\n52889 90680\n58270 87894\n24018 44274\n43797 86239\n29061 99873\n45451 93663\n79861 81952\n728 59838\n13421 55474\n27142 39361\n38959 49742\n27370 98002\n15824 47247\n51216 78310\n32782 80153\n54684 63395\n55530 96933\n38419 49583\n13942 53063\n61855 90947\n11485 19779\n41233 81997\n32448 97672\n26621 34672\n29213 82372\n17122 76237\n28026 67660\n11637 89948\n46043 72117\n27798 76569\n702 28118\n3331 63688\n48897 88628\n8288 97752\n62118 94827\n7156 59494\n22849 66943\n2981 63839\n25062 30612\n62129 94374\n45364 52283\n77537 98630\n15392 59711\n40237 83972\n56928 88331\n45705 49891\n4118 82885\n1361 60735\n28412 53046\n32692 42951\n49872 97767\n33329 46213\n45129 56224\n5311 9262\n35801 65132\n4703 35134\n30662 87793\n92784 96815\n52243 67272\n27377 63621\n22786 42606\n49093 88821\n29915 76216\n19107 84216\n39987 79490\n19034 23057\n52997 62463\n21378 34824\n14999 17074\n2909 91200\n57087 78073\n69187 80823\n38310 82371\n77115 79160\n25544 89817\n57352 86288\n39849 53176\n31079 40482\n49129 52274\n72991 85968\n27856 31625\n23651 70250\n61484 97268\n28937 98346\n39637 84767\n14487 63937\n42314 48215\n54905 93653\n42165 66111\n43227 68385\n52298 76448\n38184 41375\n21433 86984\n54807 55855\n8513 45942\n86681 95588\n2343 95077\n53563 92321\n15152 24627\n68204 71505\n17776 49344\n15182 94367\n9363 15873\n90154 92812\n26260 36746\n4945 12408\n897 34719\n88581 98709\n61783 81042\n45908 84539\n25548 27474\n22395 76661\n27856 64513\n54219 84257\n10845 85334\n15877 98851\n6123 6942\n3630 58891\n66770 94650\n14111 31874\n57748 86604\n25345 40349\n15212 19695\n4795 83498\n26213 84684\n24862 52358\n48236 64939\n18916 33407\n44329 99448\n29536 89323\n18565 72218\n72451 73733\n135 52755\n14777 75116\n79942 89501\n70029 94471\n338 79659\n69673 87427\n52552 57612\n22308 44507\n80028 87229\n32960 50615\n8793 26763\n55820 66885\n75210 91872\n32197 43566\n15189 66040\n5434 14193\n38932 97810\n81233 88881\n89963 91747\n20002 40382\n33863 90952\n43383 91738\n54651 62684\n40662 51862\n16984 92583\n21882 62880\n33242 78567\n12339 78556\n11721 97797\n34248 35680\n59966 85216\n64402 75266\n25343 50161\n8387 99179\n50834 97090\n39516 99318\n17614 34124\n8540 18384\n25196 96127\n26441 60776\n2613 27290\n1925 25777\n8331 93833\n19168 59919\n38157 81002\n1938 14342\n21344 82416\n43597 52093\n47586 73316\n9868 13113\n46143 81353\n5336 97297\n23867 69870\n3503 87584\n10617 39372\n50070 96974\n35217 94203\n17511 99683\n16568 35000\n21808 82753\n61698 89522\n29501 53419\n49395 66097\n47057 76865\n59136 85893\n34974 47655\n75041 88864\n51096 96000\n8159 72215\n30733 71755\n48982 59584\n53526 92380\n50258 71798\n39782 55755\n76218 98372\n408 83681\n9059 21448\n24721 32406\n2767 69513\n36177 65914\n39153 76998\n52901 95233\n49058 61411\n908 35662\n60286 88252\n82686 92994\n13635 98871\n10534 25490\n50424 94794\n2453 55304\n49944 98142\n60356 64109\n54152 71569\n11680 52472\n38036 49463\n70639 92570\n13909 64567\n28874 89098\n24638 98094\n29795 55345\n51890 93123\n7590 75874\n46139 86966\n4381 86907\n8021 18479\n65517 74762\n9487 61302\n27173 55639\n37245 39046\n29839 80533\n23051 96700\n9423 54530\n31250 49349\n24020 87723\n27405 86610\n4120 6015\n55753 95422\n82 74137\n13182 85126\n83176 98211\n56985 69268\n47774 98811\n52585 86390\n47527 84529\n45040 77851\n7668 77779\n3030 78651\n82051 87731\n31333 59409\n79159 92670\n8227 21248\n79961 83361\n1385 25288\n54117 95249\n79097 87041\n69254 99870\n5054 67861\n44044 50731\n5659 97788\n46439 88819\n53766 95205\n31126 87966\n58696 78272\n27581 42130\n71696 87735\n24605 97091\n3769 3950\n47700 88262\n433 49946\n30283 52918\n60375 85256\n30745 43696\n71666 86111\n37846 96936\n42896 61465\n7163 9311\n67075 95863\n54695 72212\n44781 81523\n50318 52266\n4895 30181\n31606 93119\n61388 70800\n52805 64988\n36553 64302\n4734 45437\n80567 91307\n9675 9976\n38079 58106\n12338 82202\n86127 87133\n47708 55352\n59641 83899\n80873 92850\n3877 34339\n90543 94732\n42513 92027\n2467 88823\n72677 92221\n68423 76632\n42752 86275\n28388 76713\n1518 47284\n38287 81501\n27332 50535\n64407 72321\n72052 85884\n69067 72585\n7023 11697\n58322 58726\n210 66576\n46609 87233\n70266 71475\n4659 12665\n35938 84821\n3939 56091\n61804 73436\n40930 47739\n41867 82279\n29231 69177\n9926 54465\n13086 81460\n3740 53324\n73127 99734\n35117 93917\n46904 61705\n30180 34481\n19279 71066\n76939 82763\n14617 41730\n14370 92287\n27509 71585\n2379 34543\n13828 40386\n23105 80819\n11116 13559\n34247 89077\n49238 77300\n39289 84753\n43734 61782\n7640 70021\n64511 91443\n42195 68908\n65175 94380\n16747 78836\n34168 47226\n25645 51509\n12178 74424\n20328 84692\n30705 78618\n14298 98865\n1000 21259\n12233 40442\n499 83647\n635 75991\n3424 55911\n45711 93929\n12780 55236\n30686 84997\n64678 95684\n15871 60047\n5577 55090\n43800 98961\n35603 75588\n52753 64593\n61426 95043\n12688 27628\n32659 77165\n24270 45647\n54103 86603\n45099 46967\n54716 87176\n20826 83001\n72395 84447\n63028 77411\n40903 58635\n76396 77834\n1251 49421\n27147 49748\n30155 98783\n13145 23221\n30364 32033\n40166 65532\n78477 79438\n67844 90172\n27123 93952\n37974 97036\n23050 97228\n7072 42905\n12608 36534\n32578 45759\n3460 78104\n57963 71842\n13192 69482\n8629 17105\n13087 14825\n20229 98503\n39620 97271\n36113 54174\n37033 84217\n68807 74822\n17462 54134\n45737 76213\n587 7308\n18505 25443\n61454 69427\n56511 85681\n3063 91376\n82875 88780\n13762 90132\n8703 79909\n27876 76173\n5731 42070\n69722 73692\n42241 42337\n37068 42589\n64789 66114\n34885 84838\n64663 65102\n8352 43527\n63499 81425\n4999 61529\n17745 78427\n14867 43313\n15989 81602\n2564 52787\n36794 71722\n17277 95544\n7981 8514\n36516 50260\n15979 63814\n60607 81193\n55694 93661\n70690 97449\n20286 70706\n28958 80283\n18995 30885\n27646 29362\n77632 81686\n58038 86426\n52773 65505\n11132 82675\n49276 90956\n74538 81096\n59337 60641\n41308 48585\n32264 85645\n29411 39871\n86476 91263\n21148 65680\n10956 58340\n13197 31487\n38548 61811\n9637 93887\n61592 98779\n30429 81812\n890 7640\n18021 41609\n30490 52244\n22131 67817\n71954 74078\n447 98868\n70182 96392\n18573 61386\n44880 50562\n5949 59638\n50891 70551\n22908 92039\n16507 51299\n33105 38582\n20466 96440\n14458 81730\n53705 55071\n16817 45659\n46906 71644\n74248 96670\n850 45057\n16205 33174\n44945 53625\n57349 86434\n20239 94215\n49184 96064\n28017 75807\n68307 84519\n36773 54351\n22359 27866\n33049 74462\n34124 82247\n64464 79879\n43116 46131\n8768 56011\n5539 42369\n59928 62549\n21064 97008\n32691 58279\n55953 87318\n36826 97123\n41479 51834\n17896 41727\n7823 18741\n39359 74946\n42789 49116\n76530 91708\n8684 92826\n39083 42303\n15973 56963\n60394 85691\n9320 11559\n1523 70656\n46280 90165\n38552 45612\n26988 50765\n16547 81052\n16579 76163\n56508 74876\n13094 42869\n7482 64575\n36198 57139\n33839 67672\n33872 93503\n2383 80955\n19214 97321\n28132 97553\n45851 51039\n34077 93723\n18924 31125\n8289 72498\n24461 64827\n784 57670\n14985 49614\n4899 73743\n24688 79526\n45002 50539\n9549 32163\n2441 56619\n79504 97010\n6535 33334\n72812 85417\n21611 48223\n13677 85208\n10811 85817\n49232 98960\n42694 94358\n14944 15871\n6689 31610\n52278 85543\n10202 71667\n483 39474\n24865 75568\n35156 80131\n92827 96091\n46909 59746\n69446 92615\n70832 82739\n8042 93036\n14851 53964\n82490 98457\n85483 99421\n75470 80215\n89838 93126\n36932 59321\n34726 48629\n57481 60545\n44471 90127\n10761 90522\n25963 92137\n43449 65865\n6702 76674\n20912 23814\n46978 68362\n39707 76629\n23001 63474\n82907 92593\n19925 23186\n3485 26231\n37095 53172\n10351 48662\n23775 60639\n49464 98103\n63692 99731\n6416 67222\n8857 26918\n36211 42345\n11057 96209\n62015 93264\n30614 99184\n30449 57427\n22489 64847\n14375 38092\n78167 78881\n1133 84506\n3128 16112\n69823 90078\n16897 41474\n59511 67495\n33779 73271\n19173 58854\n60318 70898\n23176 74147\n72831 75899\n808 64410\n44520 83602\n33928 89919\n75496 94058\n85369 90917\n8225 40335\n19600 26574\n17449 34432\n30831 85424\n52986 93791\n4255 17904\n32184 95391\n1620 95741\n33260 71690\n6553 80800\n65187 77840\n91739 93332\n10009 38134\n48990 78209\n10453 38687\n46383 62101\n78455 93307\n27010 87444\n53540 67637\n65951 91234\n186 71578\n10328 74322\n27294 38355\n20798 61233\n26342 76223\n22365 37072\n44843 94582\n70424 98592\n72251 82559\n5972 9629\n22017 34397\n29221 69340\n61887 86145\n63224 74731\n6763 55073\n48345 89799\n10689 76434\n30362 55707\n46793 85525\n27474 38384\n71835 78557\n37216 92451\n34170 53124\n77269 87560\n4414 34704\n11442 77419\n611 4992\n9480 41098\n36548 56755\n63263 76514\n58653 93535\n11622 62308\n18804 36945\n6767 70892\n28830 61350\n3830 76091\n51401 60618\n3305 77096\n39 52184\n52112 68046\n20547 42986\n67861 73579\n5859 75106\n93622 98395\n46166 63808\n21809 44284\n70918 85453\n66587 71133\n1956 32849\n29578 43941\n3322 68303\n13917 42157\n71913 86879\n45316 53523\n4005 27940\n1175 34959\n31250 87829\n13000 79237\n7172 17475\n50755 73339\n35063 90949\n25874 63992\n52792 77247\n30942 31639\n12707 93130\n27136 62937\n43499 85993\n30421 34134\n51154 77670\n28166 47002\n1945 56440\n35807 39377\n16536 73673\n29957 53872\n13756 57002\n62737 72738\n14751 89129\n4019 84972\n18498 86492\n9664 29140\n54200 75903\n40350 62471\n50329 78004\n21101 39947\n11224 18787\n6805 86622\n26134 43800\n23043 54251\n2260 35447\n29286 42734\n10085 70430\n36249 66479\n68085 70841\n37965 73521\n19638 60966\n5350 81120\n37786 61449\n85306 98536\n23009 60541\n28484 30265\n26771 98670\n77491 91214\n38448 69417\n36854 94320\n29816 96819\n20041 63239\n15874 68480\n53956 86462\n60623 64305\n34004 37625\n19997 71412\n59542 75574\n38868 40687\n12023 98015\n709 94230\n4655 38441\n326 7692\n44965 96642\n4233 34641\n3709 58507\n78989 85439\n24357 77553\n32540 69306\n416 29353\n77710 96382\n13949 69717\n60215 70241\n16050 49128\n59260 61088\n34546 39227\n38846 94121\n41488 52836\n43540 74264\n31529 77650\n10668 30219\n40798 75525\n45430 72555\n65497 86051\n21335 84232\n33003 79431\n85400 98002\n22202 99339\n47097 54111\n31555 62308\n9536 54107\n29398 91362\n59687 94156\n184 14071\n68465 76561\n22020 44468\n77448 83472\n1681 24452\n23698 32477\n65127 96077\n46344 61736\n2882 83410\n8380 62735\n1309 74708\n14627 74342\n1735 30434\n57965 94944\n13476 97003\n36104 70549\n2962 32584\n76906 78967\n11636 35405\n39605 99481\n76509 82275\n55146 66448\n65621 91939\n71358 84641\n53701 65293\n39441 63316\n45699 92868\n11871 69326\n16853 31106\n14675 89339\n393 71764\n4620 86763\n3935 26742\n62401 77697\n43863 48710\n15599 54604\n3325 97778\n71985 87646\n11396 15803\n65928 84428\n34369 44333\n14580 87041\n23985 82317\n43421 87048\n31719 82795\n874 58518\n4828 95167\n20049 31919\n38797 75926\n40749 60973\n39725 68293\n7459 32650\n9263 47303\n79152 82722\n59021 69643\n21716 92376\n43133 93676\n6429 42338\n81238 93910\n52462 97341\n56928 72573\n24446 99576\n23695 74013\n38933 85168\n57714 72084\n79077 97831\n20907 70329\n34975 60435\n10445 24822\n10567 51598\n74213 83542\n6459 49393\n51958 91390\n52188 62665\n50696 73922\n39346 58870\n23000 59274\n17159 84828\n6799 88133\n16183 80116\n22025 48451\n40820 79989\n30323 65454\n52395 55407\n72893 95695\n11772 96193\n38765 83017\n13144 55014\n28338 98232\n16386 64658\n52415 63036\n7095 26141\n36329 84377\n41499 56605\n86403 97254\n70902 85533\n65134 86460\n7105 14869\n5589 44266\n35183 85118\n30897 83096\n72424 77970\n72458 89627\n42430 57633\n73189 76581\n25292 47745\n55842 92986\n44300 77764\n58932 73293\n71288 76119\n76894 88006\n63137 65733\n56709 74950\n59690 70458\n74342 94064\n72379 78178\n2962 55919\n80652 90340\n751 92191\n75225 89979\n5466 73870\n638 51333\n23921 57217\n81433 85830\n31839 82015\n9719 17959\n31346 69139\n26621 44909\n77513 95157\n11028 87528\n14385 40118\n43771 51265\n56608 76462\n33051 69551\n10301 80558\n8315 34434\n47533 68054\n5822 89253\n75600 92925\n6269 60915\n53515 59172\n42323 47316\n22780 41406\n57264 91023\n12448 59676\n59026 61826\n11445 65908\n48641 75372\n19100 41343\n27767 72766\n5124 93384\n27985 43026\n50512 83663\n45485 80969\n40003 93247\n4087 31907\n16302 46899\n55636 98382\n34240 94404\n29641 30861\n14839 98676\n13537 83010\n21780 67109\n36947 57984\n37719 87497\n77653 88169\n3717 45410\n19069 44228\n3318 66910\n27998 90761\n25106 52966\n72508 94513\n1910 15396\n23761 99032\n29978 55220\n13933 30783\n58635 61671\n46512 91536\n5209 81649\n53873 72917\n65863 69551\n10498 37615\n45067 79371\n36369 52687\n26902 70919\n92192 98283\n71065 85988\n65585 68982\n46650 81377\n36409 66064\n38801 99516\n16862 70323\n4104 45221\n32760 58169\n81236 83431\n36805 68690\n62948 83111\n30931 83905\n7687 41389\n3931 16979\n6473 71087\n9362 49859\n13450 44552\n55538 56811\n47861 58736\n980 63629\n53783 89729\n19627 63370\n40420 84457\n81839 85282\n36349 61215\n11843 14150\n27448 62054\n40038 52524\n6802 99902\n25189 33879\n31509 84132\n13888 14743\n770 94182\n68307 98384\n13036 72115\n6570 50936\n33714 68983\n23314 59375\n4427 46552\n62423 77557\n44633 97787\n15512 25729\n51636 77717\n40243 59742\n8286 68603\n7817 65567\n10390 92453\n12617 92596\n11958 98732\n11873 21846\n7152 15929\n5709 32754\n34172 59651\n5058 41175\n48330 75583\n43461 66966\n11958 19220\n23792 96106\n62588 82789\n22025 72582\n70370 94080\n9930 84702\n11334 76097\n52153 66949\n37429 97956\n17831 81939\n5369 62524\n35417 50660\n18721 44850\n75904 83841\n87138 91684\n46875 91047\n10791 95094\n70463 99072\n15745 96980\n22784 31593\n9314 68460\n20642 87587\n65941 74384\n3942 56898\n32527 57373\n84421 93975\n31190 96651\n54737 82640\n23241 76147\n5891 88473\n5771 9431\n10914 53596\n24040 76843\n56621 63011\n44185 74922\n71168 88490\n98660 99606\n18747 62423\n22870 95374\n48788 87254\n38720 84362\n71144 90095\n23247 55111\n12312 23720\n37608 47559\n1412 32549\n9689 16124\n18598 60495\n29409 63023\n37675 68319\n18878 61531\n4774 55177\n35338 53244\n35978 57084\n42669 53042\n31250 59469\n54394 91630\n6310 15579\n4330 36629\n24338 68082\n32201 95833\n44999 93745\n32258 34835\n13074 78415\n14714 86751\n28484 65618\n14371 43219\n15582 75576\n1616 79378\n43702 60241\n31154 80030\n25309 25335\n32318 63716\n42462 99317\n3753 84792\n6410 21971\n19728 85823\n39297 52066\n36298 73023\n8749 46323\n7745 47790\n40600 52944\n40707 77673\n46092 48386\n17399 82933\n30183 43190\n3721 11464\n10141 98364\n29894 37073\n73759 98110\n51855 65179\n76166 80995\n45205 95152\n24458 74110\n2977 81861\n12724 31949\n41723 68852\n36249 43986\n5564 44417\n39999 47546\n3056 83229\n28119 42356\n14569 30888\n26755 53209\n31040 43816\n9808 41773\n6876 75938\n12234 13979\n13740 67383\n4265 47337\n43849 99864\n93530 96582\n28073 65723\n23113 78783\n1410 61678\n32678 92594\n30756 99414\n12439 25200\n7207 72825\n35365 53705\n38298 71251\n41011 68875\n11837 16469\n40559 70612\n17943 78456\n40773 67733\n36250 83681\n34272 63706\n20896 71145\n30707 56124\n52899 74908\n41272 62620\n13126 24633\n35141 51464\n56074 92905\n69366 72546\n46006 60531\n10093 18093\n5226 79975\n67494 68168\n28719 33009\n14025 18043\n44050 76552\n31456 98031\n15127 70678\n58505 65504\n8375 50977\n48516 61931\n1160 39791\n71467 76124\n43675 86721\n13563 88164\n62217 70557\n5374 95893\n7010 8267\n22147 57340\n74470 95284\n52189 66796\n6680 47110\n20981 85428\n38038 58427\n652 97431\n64585 80788\n15927 85905\n51156 99453\n21749 89702\n27217 93903\n72685 86550\n6336 22849\n13155 79107\n32371 42317\n18120 89669\n47465 84289\n18334 63285\n61660 84452\n37713 73236\n51216 78958\n39909 94233\n52391 93942\n4106 43491\n38986 55525\n18333 62926\n34712 71396\n11033 88857\n39228 67380\n775 50026\n7823 32571\n75706 77593\n544 39810\n22241 34742\n45881 56443\n79885 92107\n4175 81374\n37246 68426\n29969 30513\n40031 75839\n36477 39158\n19034 20410\n30841 67489\n54188 57650\n94743 99816\n61502 78420\n65124 99056\n24233 48755\n12006 53528\n49466 85598\n17883 96026\n13065 19324\n48945 58632\n15641 71833\n10637 25663\n1285 59024\n53280 61830\n63445 82380\n71391 77463\n2941 38538\n14383 77963\n17593 21404\n37916 41619\n25293 81288\n5968 9370\n10243 88832\n14786 38872\n70482 87157\n5525 92343\n30024 57947\n25854 56247\n15502 86266\n46961 65544\n55941 83713\n6113 94321\n2619 30601\n59204 87032\n32506 60290\n24143 57796\n42425 85576\n451 73934\n60611 68200\n11887 93053\n69998 75336\n51017 86355\n34947 76340\n48125 85990\n40732 86717\n25141 73369\n592 78557\n63233 67891\n49513 99685\n44704 73510\n55607 80250\n19902 25581\n42268 88148\n48371 60692\n93539 97725\n77068 82212\n19415 67195\n23009 73425\n8073 17065\n19496 60469\n31302 50542\n10720 68121\n43480 85207\n77371 97779\n66128 77755\n85311 98500\n3339 94939\n64354 68297\n24227 29394\n22002 42450\n49655 53681\n61619 74502\n24574 73057\n5582 68345\n42465 86373\n11001 37074\n10561 90108\n2814 57776\n51 50094\n39654 44211\n44364 94225\n27814 28471\n15231 48902\n18835 99299\n34930 69917\n17963 89379\n7596 86848\n89003 92386\n49138 73114\n48162 77372\n4763 60078\n26518 37496\n15522 49077\n58377 82998\n1644 32190\n27293 31352\n5430 49275\n33085 70710\n36074 98731\n23321 84726\n45158 64103\n73224 99179\n15116 26584\n19422 80312\n27099 33918\n42880 90945\n47319 48833\n77945 98384\n16511 27031\n80372 89735\n18074 68810\n73656 81834\n13144 17314\n54233 72659\n78054 89831\n49030 94753\n34632 40932\n72303 92582\n31108 92104\n56465 85674\n51499 60418\n29407 52685\n51745 98309\n22605 74533\n65093 67187\n25490 87469\n71997 74785\n56693 72067\n9433 23210\n15972 99813\n18054 92782\n5030 9033\n35990 87946\n7597 59757\n28921 80181\n6353 23944\n22993 28668\n81605 93857\n92799 94524\n2797 82654\n29974 55537\n2364 10611\n57633 64453\n81798 89023\n3697 77400\n31749 76729\n43458 77681\n18299 56607\n50296 76556\n46084 75158\n71879 79226\n9685 33633\n2191 35476\n24771 64425\n51141 81506\n31858 32634\n24841 49467\n43471 77452\n12371 60111\n22299 25831\n31762 81292\n37672 56049\n28603 84310\n63701 74276\n41491 52882\n79136 80384\n77409 87308\n12722 21907\n43011 96006\n89576 95874\n46733 94415\n25205 84242\n23223 64052\n48720 85906\n28721 70839\n64418 71453\n47507 66418\n4740 92223\n30951 91801\n52423 78440\n26123 34123\n20048 43645\n947 51760\n96742 97595\n24497 28131\n6014 42811\n21861 74351\n18167 34805\n3024 38880\n763 34892\n69744 90196\n6096 35800\n34036 60813\n16156 21803\n36323 39236\n5455 28873\n10651 62739\n34486 92351\n34244 57081\n8596 53713\n74615 96665\n25793 41888\n35542 40457\n76739 85487\n14616 90526\n55492 95120\n75899 98606\n15779 58086\n14561 87569\n9769 48142\n8490 30180\n33956 89961\n3100 23881\n66932 87878\n68800 73872\n68870 79821\n21344 63280\n42609 54039\n28137 28988\n10577 32522\n6130 58974\n71650 83867\n7195 27306\n18910 42169\n36652 98144\n9892 94012\n51811 56772\n5793 15070\n29835 52824\n39817 42755\n3065 89631\n63792 76463\n80953 98451\n15757 55059\n48410 79289\n20261 62687\n11800 54348\n55344 59133\n65267 94148\n25163 85687\n1436 79025\n18643 56395\n81241 97940\n13293 77242\n74688 98617\n8782 56732\n2694 92449\n37503 68540\n25212 88381\n30232 39905\n11275 93165\n23615 66341\n28003 85160\n68035 80573\n42801 54795\n4643 69043\n39691 83482\n35746 69541\n22392 64841\n10273 90314\n17944 45942\n15980 45299\n24651 35020\n24051 63278\n56371 95847\n42878 88566\n27897 38065\n52869 85536\n10796 85322\n37088 92538\n21719 31522\n22883 46819\n69426 75215\n71422 73365\n41739 78593\n37526 72287\n53985 94085\n17615 25699\n4069 66110\n56165 77446\n62843 88117\n26436 85321\n44886 54117\n52953 94853\n17605 49769\n54891 81785\n67145 68759\n34670 35655\n59789 94823\n12929 59221\n14093 49725\n25900 64665\n37635 42876\n27622 54995\n93595 96503\n57172 67152\n22762 47280\n37794 40481\n24006 79608\n6265 63258\n15335 98549\n58059 74104\n34960 49221\n13332 68525\n89549 98163\n21411 85244\n36020 48960\n77499 92764\n20659 73141\n27919 54716\n17655 87208\n70307 83052\n4220 76817\n8305 23034\n35690 59905\n21861 32158\n13671 85493\n2812 92034\n33049 43082\n69511 73177\n14535 36960\n4822 22508\n10333 48524\n15691 50051\n6164 81373\n62292 81799\n7856 57093\n25721 50857\n486 15225\n26159 49067\n8966 22341\n4454 70208\n54449 69538\n14223 84023\n4847 64555\n47605 92724\n64056 93418\n51523 94345\n6254 52640\n19259 40465\n33308 76293\n28720 67725\n52653 66804\n9458 56758\n39494 83730\n748 78370\n3539 75667\n35976 45954\n41970 48509\n30540 36328\n14198 18020\n59851 97490\n16243 61627\n19214 20816\n16829 91593\n59090 76840\n30737 41739\n97446 98585\n10319 75246\n31050 68400\n45093 88699\n14169 87736\n56591 56758\n2938 41754\n5983 13060\n79467 86379\n64981 90639\n9184 79504\n7049 40477\n49637 61538\n40553 69792\n35152 38593\n71060 79546\n72437 82895\n46233 56173\n22729 58389\n3194 77798\n3948 61984\n47242 89458\n23383 28449\n8990 19579\n26342 61155\n3637 76316\n5215 68517\n42347 81995\n1174 15373\n19990 36592\n18062 63709\n64286 77938\n54022 70845\n49213 80388\n60507 81609\n1699 49161\n56991 80240\n20285 95183\n23674 75479\n26910 31160\n6588 64332\n5511 29167\n63947 85434\n7024 26492\n46899 68322\n33269 77915\n28257 91951\n13736 92377\n403 98081\n65786 96747\n85465 88910\n642 13296\n38784 84479\n26562 50396\n36392 50094\n578 56410\n18783 24626\n34676 83334\n30044 59303\n8944 70945\n6892 12526\n79610 95309\n80981 98461\n17222 75749\n19369 56879\n49371 98855\n16767 48803\n21918 73539\n16735 17342\n38889 40745\n66390 86001\n76696 84663\n23428 63363\n1063 50576\n93437 99873\n60781 75934\n3126 68031\n51011 65976\n71868 76736\n49288 84463\n47930 52221\n3029 91068\n33080 96061\n31689 39138\n51994 63735\n17982 99426\n16675 31560\n67160 84924\n2783 19849\n85914 87756\n56511 98075\n55632 75410\n45480 60164\n13787 21247\n3392 59007\n60270 73624\n70683 81537\n60701 99741\n62331 97796\n86935 87743\n84180 91847\n36992 42589\n4019 83172\n39708 68393\n5147 80221\n25551 80665\n22554 43371\n14485 44100\n2102 42167\n61644 91524\n63627 75913\n15263 19855\n68280 73968\n71230 75696\n29100 43565\n36348 64623\n47081 73037\n23221 26426\n56156 78442\n35981 78224\n12452 32802\n3348 59597\n49230 60388\n3970 87583\n63877 87509\n15036 70107\n51780 54942\n28182 48524\n20086 21422\n32916 98947\n16732 43732\n53981 97572\n10497 22727\n30701 83519\n58899 73131\n29098 71161\n2123 89143\n62380 79944\n36982 83478\n41496 53512\n46746 91328\n26555 28082\n3340 15956\n13182 90146\n13657 36138\n31521 91299\n876 32266\n1540 82128\n40072 63235\n22528 81275\n25444 81105\n51920 55177\n70336 78417\n24420 83479\n95125 97683\n33139 97270\n77408 82937\n3023 12766\n3908 5099\n59585 69407\n15240 93363\n2033 64694\n30900 70134\n28195 63240\n8014 43467\n57598 84732\n53286 62410\n50622 99332\n53831 73433\n36159 50351\n22683 28896\n48699 94320\n41115 45115\n29094 98601\n32412 57363\n14456 82705\n4117 13901\n41841 89858\n24943 96179\n36107 50215\n16449 80965\n27833 67301\n40036 46105\n25478 58553\n41269 78696\n51399 73415\n49331 90885\n39747 98966\n18437 59316\n42215 95777\n830 91480\n28624 44069\n749 76632\n29799 30818\n29671 31235\n37411 98851\n34427 75508\n52380 85468\n53295 90470\n32251 53588\n40332 86865\n62365 76393\n24156 39993\n1104 67184\n46734 94317\n73511 94223\n26207 96248\n13971 16192\n31986 75558\n278 15202\n35998 57969\n3953 43959\n74696 77968\n52463 73223\n30915 47836\n63051 79878\n443 94420\n22720 46895\n45528 72558\n32691 62719\n85424 90599\n18268 72020\n22932 30301\n48862 83170\n33575 92607\n5627 97690\n55553 72506\n19709 20544\n5443 51930\n59299 97877\n17984 54362\n40274 56004\n57405 87647\n56822 88491\n23963 78597\n41519 48746\n29229 85894\n476 74056\n30136 62746\n72529 93248\n76653 78378\n44777 80704\n49015 50573\n1544 31976\n57487 95540\n30085 60676\n9221 90336\n12654 89859\n16204 28540\n37714 47316\n36127 37833\n54078 61592\n27188 68934\n20148 40121\n445 96169\n51645 75499\n13065 31679\n39211 54019\n15760 81406\n43138 89964\n63509 89822\n66120 98779\n26208 72455\n5826 23389\n62888 97919\n71319 88477\n63041 81671\n4693 21165\n55794 96017\n17279 52777\n78873 96290\n28060 57029\n22295 92031\n21741 49177\n68332 95610\n11835 55780\n29749 98790\n11503 59501\n31047 68562\n83450 90645\n39477 60097\n7413 20626\n4169 10327\n4570 61217\n9888 61055\n4133 95939\n20006 39055\n8950 90833\n17608 41807\n11837 38127\n32565 63484\n35234 42518\n30416 84693\n15260 20351\n34990 84481\n9242 60931\n55929 75213\n1431 5561\n70523 75058\n7766 37388\n38196 69256\n40025 60994\n10201 48851\n67364 78067\n35914 44700\n38791 87281\n9403 55432\n74593 92565\n30426 91849\n33852 42854\n8848 15459\n74288 93802\n31940 52255\n9556 41338\n37492 91449\n43496 58370\n22988 50141\n44488 72161\n33482 85923\n33248 51098\n9866 46475\n24473 67886\n37106 70842\n67776 72615\n7921 97184\n3821 78159\n60943 78124\n36952 59535\n14248 61621\n59418 87528\n44111 83445\n64712 74768\n30287 70707\n30060 89446\n14654 41134\n84751 99762\n28203 52499\n48568 55863\n35438 59286\n28416 77195\n48690 83701\n82345 92393\n5148 69024\n39058 66917\n41183 82386\n15215 38706\n3220 94619\n63698 78244\n54747 76556\n2397 3624\n40402 91864\n38717 77715\n30089 66250\n92708 95349\n53502 85402\n18703 62729\n44496 75521\n62465 91909\n7917 73593\n5765 60108\n67693 68303\n38418 93795\n28834 53996\n6943 76963\n31691 33979\n8090 48592\n81386 91332\n46857 87838\n32299 75177\n6653 60256\n38640 47687\n1292 68170\n20008 60497\n8029 93340\n36700 83042\n43114 62716\n1914 42279\n87666 95232\n70601 93810\n29222 96647\n42481 85750\n9931 32222\n53825 67704\n36699 50505\n46811 59339\n536 82317\n8493 34631\n36116 83366\n45556 78698\n34896 53020\n43428 64552\n8118 60311\n80254 82596\n10769 81873\n36442 64344\n47455 66480\n3733 30489\n33934 80304\n27178 83721\n65680 80056\n15111 48642\n39248 85618\n31648 84544\n42955 61667\n11642 83827\n69283 74018\n85281 87714\n55982 71331\n51334 91103\n57803 73281\n23203 78428\n52211 72873\n31479 48933\n37828 67037\n42817 87640\n44585 63270\n59250 87114\n10484 65335\n384 85481\n19991 95274\n30559 54974\n19811 54106\n55742 93624\n88317 94902\n16567 17973\n4296 47373\n54448 55665\n90610 98935\n13145 67323\n45941 83855\n41334 63259\n87187 88489\n57828 76863\n56746 81641\n91341 96738\n14234 27183\n9792 28891\n22393 27789\n9999 44616\n2223 96524\n19365 30446\n17314 59649\n55544 73434\n31574 80513\n21231 29367\n21704 74293\n59504 84809\n56709 86430\n70412 75185\n63487 90855\n33683 38126\n26529 31973\n7949 59416\n61476 93022\n21969 97466\n22564 61375\n41669 53453\n12126 94924\n34776 64506\n13045 59662\n21642 77097\n2569 32747\n94689 96650\n7846 66101\n3442 34805\n36191 74940\n39770 74834\n74892 87922\n53551 58705\n14243 98224\n34382 71198\n22391 75419\n39511 89963\n49095 53122\n36486 81536\n64458 67728\n51421 58375\n66422 91720\n3086 45863\n6582 10841\n81892 87139\n59068 91937\n20321 22808\n27835 44751\n59214 98388\n59712 70754\n55340 81028\n7703 41798\n989 97611\n39285 92035\n59276 76104\n15854 88834\n40806 43010\n891 58620\n15425 34807\n7830 87543\n20564 50076\n68614 95815\n71176 81528\n9049 86070\n2691 87363\n2488 98322\n26128 30020\n88946 89630\n38233 66943\n27925 98772\n21304 41472\n28697 74126\n31895 51759\n15362 22998\n31228 87821\n27511 85280\n69702 93856\n70143 92681\n58180 88648\n71918 74099\n16206 74769\n32930 50868\n14760 89332\n71874 82688\n13080 61978\n42616 60386\n12430 44398\n14047 77807\n31824 84816\n13092 26121\n4999 55974\n1847 96000\n20148 97403\n1365 3377\n53109 77828\n45159 74748\n59355 65072\n26507 29924\n2636 94587\n17421 49443\n46553 50373\n16369 89613\n35474 64499\n12825 43453\n5642 78992\n20287 37698\n6205 16434\n5087 72835\n39624 66159\n12054 94224\n26458 33180\n4001 53935\n8925 40748\n46070 52302\n60919 72228\n38478 59249\n81525 88741\n3167 20022\n17216 37578\n28725 46279\n45739 88974\n29249 45431\n788 28832\n32334 61879\n41742 68467\n75377 81000\n17363 99422\n18535 75738\n44971 74880\n11727 40920\n45388 80918\n66565 75547\n26762 87996\n34755 68720\n39823 46840\n72346 94016\n14893 76125\n26313 69487\n44019 91329\n31076 44334\n4921 42762\n54165 67730\n28627 86334\n71455 90235\n3476 87934\n15873 40003\n56234 66138\n50176 80723\n62993 80724\n97249 97805\n46946 70170\n608 78546\n12842 14280\n27746 68863\n37039 48652\n35194 86971\n59386 85888\n15021 78323\n17281 68233\n29062 43670\n10924 82675\n52897 66319\n28660 71292\n6137 90949\n13260 97402\n42848 59530\n23 51092\n13331 41297\n27094 32431\n57490 70681\n45804 96426\n72683 98751\n52467 86816\n24709 61421\n39905 84341\n33588 78437\n64787 75092\n15681 98401\n11689 61344\n43642 85359\n63267 66115\n49340 92507\n57548 91969\n61480 71812\n40074 89642\n59200 83935\n28418 62255\n67271 95180\n37624 94760\n49068 88500\n13647 91520\n17436 23291\n16608 36545\n371 58924\n16098 75449\n48293 58078\n76396 89790\n32812 35758\n18373 31609\n8487 54796\n27814 51620\n33255 41405\n11794 13995\n30571 36439\n9525 59294\n27697 94923\n57422 91875\n10648 89269\n13595 32157\n62643 90466\n31088 40256\n11720 56083\n41616 98855\n24767 69316\n6048 61113\n47644 62745\n1961 60063\n68186 87522\n76567 86933\n63691 82761\n17950 48099\n16439 48154\n59947 95609\n57591 62581\n52838 94617\n2907 45937\n59921 66128\n31678 91057\n41841 96677\n57344 96796\n61354 87279\n71722 83060\n41211 83734\n19562 68595\n30251 44258\n69592 97123\n1955 24084\n39499 68471\n49010 65933\n41155 54694\n17679 53322\n2912 42430\n3132 85645\n74857 93051\n26155 87085\n16680 42639\n16857 29224\n49149 80958\n48237 66294\n57357 90196\n35762 78591\n10559 23414\n24350 37049\n50806 94743\n42871 96305\n89507 94009\n10191 24361\n46760 75303\n2884 55987\n51183 95468\n54100 96720\n8485 35585\n63769 77502\n13371 49527\n56604 63516\n43002 90018\n18947 26008\n6333 44596\n40648 72082\n1110 39161\n17055 57899\n88461 94632\n25702 63324\n7130 16320\n26885 86685\n61907 69537\n24228 72113\n44713 77364\n41523 73351\n43412 47868\n41010 58929\n41056 54816\n17371 34687\n30390 45555\n64447 69130\n30928 36616\n19077 78625\n7555 70631\n13648 21991\n22771 37033\n10817 12895\n27072 63896\n16956 43072\n22504 42513\n4259 75791\n62750 63720\n40144 48035\n35554 92007\n6021 45009\n75788 88594\n61507 67218\n34886 56974\n5932 18072\n1901 54852\n28923 35556\n36223 77742\n45341 74510\n23309 48701\n34784 45823\n74593 96156\n48792 70069\n35658 79873\n60817 91249\n44084 99292\n26469 27253\n11298 57960\n30544 72817\n10124 74030\n24871 45862\n18455 52478\n2982 26842\n14194 75289\n26017 43781\n40897 89323\n34265 77196\n8221 30009\n78905 83278\n55972 96835\n4474 57432\n40652 42673\n40050 50653\n69798 83232\n17788 26372\n60 14768\n48364 74191\n69358 80557\n31754 84047\n52203 99072\n26762 43857\n12086 89517\n50665 99897\n34606 36157\n11333 51971\n39126 95756\n54304 87879\n54652 56282\n16518 41089\n17130 60639\n44267 91982\n7400 30409\n21834 23652\n2243 35361\n838 96101\n57160 66509\n54255 62084\n9626 23024\n6972 17314\n24384 90388\n23747 25446\n12962 87732\n72523 96680\n17853 19515\n67399 68512\n44920 51339\n9681 95625\n29268 59396\n35634 36816\n77189 84537\n76488 87350\n54922 88024\n68514 74405\n22785 83891\n65860 74813\n26455 49292\n66902 87531\n26966 83821\n29572 97659\n29197 63135\n80406 81277\n25434 26897\n8473 79994\n19664 66658\n2224 60700\n33204 71435\n48095 54688\n92284 94293\n62864 82233\n7329 76430\n686 80892\n45933 65933\n1923 83034\n34943 83712\n20265 98673\n40922 86108\n89625 92426\n87381 96554\n17998 90657\n37270 94925\n31689 82876\n26724 45695\n38561 94948\n1902 41405\n31569 42040\n31807 50854\n38306 41911\n32722 93566\n47648 74042\n67037 81919\n12216 68104\n14215 35131\n23083 52357\n31877 59682\n53954 87934\n4313 88562\n47917 64916\n16250 39461\n77934 99368\n33735 97409\n37698 84204\n43482 75326\n7976 13522\n34123 72933\n55849 57743\n38596 56797\n15297 55502\n3154 56285\n21840 94528\n50921 71785\n70668 92503\n23669 64534\n11034 22268\n23384 40179\n7927 96101\n72864 75196\n79011 83785\n28405 49439\n367 16361\n38516 97955\n39930 75868\n82405 96710\n21732 86432\n86480 97168\n63531 68690\n35551 76445\n28780 92361\n89596 97558\n998 96087\n18742 39174\n29790 96800\n34548 91617\n16855 89440\n29887 56585\n4210 65972\n41805 78319\n57901 99514\n80059 90344\n27449 76066\n46187 73156\n45738 62179\n79028 95678\n50972 80681\n10745 62229\n33455 77325\n1380 83813\n8858 9893\n11832 55241\n84041 88404\n30974 84890\n11864 25178\n24659 65812\n4002 88274\n30012 51342\n11572 18666\n7989 47922\n41023 85662\n23925 38874\n30276 91221\n53276 87119\n10786 82353\n29551 99518\n16536 80547\n55986 56319\n4478 24543\n2590 33083\n20996 43214\n19321 83914\n6109 48301\n1570 42006\n52678 73601\n12753 47493\n56326 85878\n18700 42009\n53221 89823\n9808 19219\n18486 61486\n22340 33805\n74264 77015\n67355 75448\n68425 86761\n83857 96544\n22199 72190\n79190 92439\n13699 90983\n3296 89236\n47157 52078\n40751 80622\n27275 78172\n71290 90003\n13722 29437\n10829 12529\n12113 74867\n1188 51999\n4600 73025\n39120 42783\n90134 99490\n47001 52550\n26633 91680\n1207 44050\n54792 78598\n64752 74955\n18427 91251\n17788 93044\n2650 28637\n5170 29807\n19393 85779\n4826 78298\n69855 91206\n33374 58825\n49989 68461\n32920 51801\n31865 68216\n62908 71903\n6708 28258\n35227 90195\n30740 75917\n67464 91617\n12345 32193\n52800 90477\n27533 68096\n12819 68276\n122 60003\n22471 55279\n62989 66381\n72946 86808\n16873 69712\n2436 82121\n3060 20727\n26735 68948\n38865 87109\n7730 94321\n57655 88639\n68221 82282\n58191 82898\n17943 44296\n33032 63777\n80112 85938\n46077 96025\n6572 67966\n5392 94088\n32334 72054\n23151 64713\n8422 71840\n19665 34624\n41459 88879\n46129 95661\n13168 80970\n24137 56093\n27705 36302\n33828 66157\n88940 95260\n6639 96687\n35901 55848\n5521 52296\n62752 73947\n4324 49850\n16687 98987\n6126 75326\n40078 50731\n34556 61848\n20557 91514\n92141 96001\n36062 90720\n12692 72977\n58050 81769\n66266 96283\n87308 92589\n10105 41028\n14540 68924\n20973 40315\n4315 95297\n25932 71651\n12782 87294\n57914 70614\n55264 56760\n45622 98914\n65917 67312\n35062 69297\n76333 90513\n54750 92774\n97172 99263\n23774 28980\n52590 91581\n69448 97752\n45541 71052\n69751 71345\n1573 49691\n39419 93676\n11013 36331\n7850 82810\n14012 92401\n23895 36862\n32540 98241\n36873 50663\n43988 78007\n8521 70467\n12369 60845\n2761 3282\n17859 77593\n5264 50029\n32157 47458\n9356 72397\n49915 61170\n20955 68403\n33390 74899\n13270 50714\n7745 35239\n568 17257\n66150 68406\n7225 8982\n57352 64258\n29468 59674\n13597 19947\n61144 61970\n31580 34885\n71968 89476\n40382 74160\n37824 74654\n11171 18419\n19696 89216\n91817 95524\n4195 96758\n53110 86270\n2777 87822\n1732 19127\n24190 99878\n7127 72794\n3271 14917\n72282 81109\n14600 70162\n9030 96572\n41576 55902\n19215 25416\n27271 61806\n41805 73849\n5246 71122\n8812 12357\n40980 61702\n4588 7185\n39420 84571\n20228 91907\n7391 38604\n39260 57194\n32155 89394\n63539 85709\n49301 56496\n31693 64717\n40628 98832\n48498 83296\n56136 74850\n50392 70375\n26569 88519\n41997 73711\n48822 66280\n17997 89612\n57673 67403\n28137 41442\n17197 30116\n64577 93160\n70012 75385\n66825 81617\n67827 78789\n75392 89848\n41137 49286\n28426 83899\n7870 69924\n64108 92341\n11202 17912\n41538 48857\n1148 98198\n5323 47082\n21402 85253\n1271 19068\n24341 98493\n23728 40192\n78003 81457\n49051 63965\n26504 39996\n29741 58738\n60892 66401\n27922 85340\n53923 64213\n6420 84533\n7183 53433\n11254 44693\n35379 45974\n24208 54305\n63670 73986\n70185 84927\n32729 40458\n2616 6909\n19031 89658\n39493 78069\n70300 87027\n61141 74914\n45867 68048\n23801 30293\n34693 96142\n3010 79867\n26261 85098\n3502 59441\n33858 34431\n15210 67364\n2654 17385\n60240 82120\n3626 58871\n55791 92086\n38558 87505\n55404 58190\n21861 88817\n33191 40093\n62336 96578\n89574 93406\n24336 60954\n45038 95900\n16594 92475\n49884 60917\n6509 68572\n34464 63984\n75667 95492\n60095 87460\n16478 83049\n44867 60448\n10877 75859\n9586 56207\n2211 74605\n49323 82554\n14491 15997\n37160 92207\n21007 84889\n32522 46543\n24312 36241\n11862 39849\n32170 49509\n28762 41950\n17649 24438\n6419 10755\n3482 56768\n1823 67295\n26414 48577\n2098 48018\n31338 41627\n58624 78757\n72157 88401\n25958 70793\n13319 80891\n29787 33192\n16515 44984\n17915 42727\n22304 40772\n23209 68983\n21743 74614\n7833 67358\n37292 58902\n30484 81185\n39970 97680\n32495 70755\n52872 68110\n5864 31385\n36449 96632\n371 84794\n45539 46665\n49124 82383\n23335 43217\n20952 87512\n11496 42386\n14216 31778\n33352 78321\n13605 42251\n35327 43280\n27553 57400\n790 6031\n7480 60068\n20360 88917\n28125 87044\n36352 50219\n1094 51669\n14389 67383\n24643 32586\n13922 89731\n44438 59827\n41830 52694\n35425 88949\n14813 88065\n83939 98709\n27273 59311\n85431 88963\n32300 43811\n49266 59413\n41147 50300\n62362 67885\n39332 97592\n70847 85523\n19354 68469\n20493 77277\n35076 37868\n38911 78411\n67173 89231\n6828 58451\n34939 66633\n28217 53449\n33164 52177\n10824 67964\n50100 90479\n38708 76947\n53298 77744\n3555 53560\n25557 40922\n34393 36715\n70927 79649\n61713 64801\n25374 57129\n37770 68077\n93353 93799\n7164 29818\n64958 95918\n53564 58435\n19810 28210\n11974 95483\n15204 26618\n31347 72031\n4516 87589\n25824 56484\n28724 66189\n59497 78293\n10499 74865\n7675 16147\n4379 71355\n94810 95554\n3573 22696\n16446 61531\n35361 53928\n15320 16173\n7298 66374\n5881 43963\n168 13644\n34345 45355\n31808 48147\n25242 82728\n1314 45961\n26912 47956\n54063 63778\n5330 24982\n17354 88212\n16080 97016\n27275 43142\n43960 80908\n7608 53197\n95144 99642\n51979 57482\n81440 90461\n70560 98102\n38500 45625\n11131 75922\n29079 88480\n250 12584\n61894 92063\n50905 55540\n63105 75611\n12569 40389\n317 54546\n20820 59677\n26099 77719\n29691 83920\n24305 63225\n35901 51658\n49234 58201\n24348 81367\n19938 98042\n31350 88181\n42378 99266\n12203 87440\n33971 78031\n6344 8574\n7638 9151\n8248 22689\n60044 84842\n79524 99816\n58057 58289\n47921 86604\n52517 78014\n22821 71155\n76626 95711\n73095 99418\n36232 69212\n14777 97720\n19016 26300\n9826 34524\n30994 40892\n6946 35961\n28574 66400\n66455 68155\n5055 69843\n37338 79088\n75881 85133\n40706 64046\n7997 33192\n41990 42217\n39322 78181\n76472 88179\n70061 76325\n8028 39528\n32133 89950\n25004 43804\n26927 78832\n14750 29560\n74210 74707\n48648 99310\n10171 78365\n58395 75361\n18896 62880\n39439 58612\n36714 52201\n59923 63958\n57058 59214\n22775 88647\n7228 14783\n63527 98873\n90162 99694\n33471 74949\n13694 28260\n3240 9428\n4841 30666\n6561 98685\n45379 76544\n48755 78031\n79361 92922\n10844 18585\n40034 69649\n40403 58405\n15155 57921\n27691 44694\n11451 76061\n22943 28946\n31559 37112\n43552 53743\n4378 45369\n15052 77778\n4653 87971\n17325 21937\n2493 91448\n53104 89096\n16898 44669\n5760 87412\n42408 42687\n16714 83568\n3869 41431\n42132 80532\n20669 89577\n33245 46563\n41098 88061\n2641 28518\n19699 91804\n4484 38183\n14465 27188\n52549 58898\n90355 94594\n13411 39063\n37385 88131\n52586 87657\n36990 78180\n13991 79695\n41428 79250\n42198 74758\n3066 64748\n50445 82470\n53199 84547\n10534 18886\n19421 91262\n27807 79131\n9078 9323\n5497 34612\n28892 63094\n6417 55114\n45400 73923\n62325 99921\n50434 74287\n84880 88287\n39767 96810\n33860 94843\n63588 94298\n38850 55726\n25454 34351\n60344 99331\n23825 37835\n66539 71558\n78012 98606\n97052 99978\n17207 77126\n63346 83883\n5329 63909\n920 5116\n33040 48904\n26133 86042\n3896 73162\n7946 81189\n53192 53863\n8483 83286\n41272 96195\n28332 45126\n29378 41562\n46175 54552\n11875 64286\n7351 51644\n87939 93784\n15845 26815\n2280 10762\n3241 31740\n32176 58642\n1275 37019\n1007 7811\n53239 58032\n45927 49511\n65579 80970\n42571 65400\n21518 49250\n29607 88655\n25361 92862\n34193 38127\n72254 72928\n2835 44575\n15357 47050\n31635 85926\n91305 97830\n13257 68984\n41986 71742\n86218 98023\n51691 93176\n5483 14477\n2567 75569\n7631 69435\n74967 77678\n46034 87958\n81090 97912\n34764 37090\n21861 22448\n69982 82555\n17574 77281\n21223 24805\n2419 77303\n50250 54803\n92289 93377\n15742 60769\n20546 95691\n23668 61011\n55344 65198\n19979 67912\n18045 89672\n63884 89682\n9626 12181\n2975 66062\n38486 43442\n89607 93329\n44615 85166\n21606 25933\n37477 91827\n60706 64114\n60443 64457\n14519 94077\n35207 92419\n28661 61381\n12347 35239\n21290 39560\n18274 40391\n44485 95104\n37634 91650\n5282 82972\n32148 82471\n1380 38318\n69345 83468\n1798 30228\n45029 71670\n42907 52262\n16756 88801\n14363 92779\n39177 72618\n54406 56853\n13956 70532\n7569 36332\n75234 99691\n33739 40152\n24149 67053\n58600 70539\n25543 52514\n52537 60387\n29817 83420\n42825 88847\n19492 31373\n8847 30562\n13281 99227\n12777 80394\n43136 84086\n61755 99839\n44226 95558\n32894 65972\n57356 90295\n23534 78685\n16189 83331\n66894 85783\n15584 76987\n6645 60225\n29266 74867\n28360 30440\n12710 32060\n53665 68345\n15920 47116\n20918 25054\n13743 99256\n34437 85115\n33362 56046\n33823 40281\n41708 55257\n2890 31109\n36649 83489\n358 10978\n56634 77844\n2646 54122\n4537 78865\n25150 67767\n10777 94933\n19799 30870\n69564 76918\n41286 84323\n28934 75439\n24237 32525\n51656 82407\n38031 55306\n58459 68324\n21512 71883\n32579 80086\n61384 96118\n11479 63951\n65212 98802\n19043 53028\n22502 32594\n3226 8789\n13915 49643\n81018 83230\n12596 45074\n62311 98030\n16923 98358\n9675 72645\n35957 72203\n33534 47063\n25862 44281\n10768 26197\n11253 99671\n3316 34803\n8391 38894\n52449 92120\n62325 81712\n7916 33412\n56925 77091\n53389 58855\n17529 79610\n88696 98726\n5697 18557\n21068 61109\n22442 49535\n26077 92145\n51610 87995\n31241 64782\n21230 41778\n27915 60082\n495 47219\n2085 20641\n2137 89180\n5431 51116\n48008 59077\n12367 16043\n26526 30143\n11774 19520\n2176 60274\n11959 42001\n59314 81578\n34997 61476\n38004 52424\n56376 80334\n63162 70671\n27440 37478\n1294 78842\n19506 54838\n15009 64729\n35414 40731\n28082 91597\n4697 28822\n37074 78698\n2224 19461\n6864 63697\n53738 79446\n61722 78087\n11686 63948\n80022 89754\n50058 56902\n17188 19734\n12155 23583\n36993 63788\n21493 45488\n19293 91348\n5789 11563\n33677 35017\n66837 97117\n80103 98945\n77056 79742\n2367 8148\n71452 91650\n26120 74883\n13261 71780\n50492 88633\n3688 60547\n21061 60990\n56348 73185\n80380 90229\n16546 56421\n50051 60272\n47702 94117\n86858 95162\n80409 99845\n24780 52371\n40262 52288\n64282 98738\n9347 10294\n3277 45486\n18738 56594\n41427 88330\n13558 89516\n6387 14120\n65244 77836\n23630 58689\n129 1325\n26284 98657\n7636 28520\n92745 94264\n60613 63988\n25558 79712\n8256 83069\n20556 96141\n333 86780\n69209 89107\n60447 96043\n3606 5569\n5273 81676\n58762 75962\n26775 53948\n17632 63922\n30585 50418\n1488 23694\n5324 6557\n72803 84481\n48721 63785\n6088 29924\n19128 83289\n60607 61499\n10120 59101\n4569 18062\n82485 85529\n79521 90554\n30279 59800\n3658 89847\n44234 94798\n46954 75702\n9618 53668\n33551 72874\n21715 32500\n46547 49781\n10059 81933\n20418 46487\n42819 81624\n28738 98318\n100 48342\n33022 81757\n63885 82547\n39356 67758\n10593 96536\n22705 53139\n21099 84681\n64988 98052\n11258 99924\n11648 35387\n59170 68059\n54925 59349\n60000 81831\n3564 27041\n67179 96365\n14208 46330\n29338 42336\n27683 32243\n14023 63465\n77324 94347\n2323 15123\n9723 21579\n3321 44699\n21253 52097\n20770 30110\n25826 39264\n22781 80292\n28063 98913\n7348 45783\n50380 57164\n3486 6169\n6898 66418\n3421 24284\n15220 38069\n80491 90283\n76274 91370\n62811 78262\n17210 27621\n21498 55672\n9656 16478\n16944 60777\n52569 53969\n24316 36502\n18932 98719\n74384 79909\n46704 68708\n53840 95541\n34291 90541\n77513 81757\n75109 83334\n10619 98198\n54437 83720\n2694 96612\n17979 27125\n49174 54589\n57417 69786\n51093 70621\n65966 88911\n39567 58826\n37088 89202\n77622 84832\n64724 91179\n16883 41904\n52051 97463\n31513 50088\n5188 82610\n18699 21745\n72858 87252\n24015 42535\n28759 96008\n38737 65783\n39903 96855\n35232 56446\n31678 75689\n15276 19393\n11524 54628\n11857 92715\n75926 76677\n5982 94946\n50239 84036\n16643 42819\n16208 19727\n30347 45904\n23077 72863\n81477 93765\n64484 71742\n51377 52927\n63711 86480\n10094 32787\n13644 33653\n3026 72423\n21992 61057\n46856 80101\n21734 93785\n22271 86328\n12306 53759\n23216 40239\n10951 27016\n5118 66913\n61428 87645\n2115 38536\n34020 45177\n43849 65452\n1766 37551\n92770 96866\n2903 45098\n49867 91345\n52034 69275\n17876 19368\n13592 95992\n62629 79714\n22703 74106\n14563 21772\n49645 99570\n8669 59424\n23925 32084\n61677 63240\n62432 79831\n11116 14145\n66177 84820\n67928 88698\n17231 91385\n8517 52482\n51193 66919\n19040 64086\n6644 69281\n18489 31371\n36617 60548\n28316 78061\n35098 35577\n33762 44707\n46063 77769\n90112 93705\n19352 31984\n1913 62451\n22165 48674\n29141 58557\n3647 25684\n54358 62311\n34805 54273\n12850 64197\n30097 76302\n5285 46555\n83460 97077\n8551 24628\n23292 66489\n42208 60903\n54828 67581\n9723 48422\n2448 84847\n29732 38854\n34746 98516\n38023 66947\n683 13580\n51140 69917\n50332 73273\n60021 91359\n13968 50868\n12059 96085\n27519 62097\n24292 90570\n43460 87978\n33867 86370\n28774 46962\n21045 34882\n14022 79398\n57834 92866\n19653 87594\n31756 46435\n83965 86100\n22126 97207\n23188 48628\n8617 93716\n9569 69310\n33490 70734\n49761 93217\n26953 27297\n62525 65965\n4137 94787\n73367 85898\n26800 44738\n2363 32810\n11052 45877\n12990 80523\n20037 78912\n19691 46054\n36067 72931\n4566 22956\n10651 50954\n36080 57165\n20738 25613\n76169 95010\n44938 84323\n28254 30909\n11092 48405\n78255 98419\n23800 27286\n32209 50163\n24184 74735\n28220 95411\n92075 95963\n6409 49589\n45583 74874\n12193 42613\n5488 68992\n60423 62519\n95291 97364\n10001 10111\n76168 91068\n91863 95049\n25320 54794\n60554 83433\n74589 91934\n57564 61652\n23138 24017\n41464 94359\n56155 83414\n53430 55683\n32498 62200\n71036 79934\n14437 18654\n276 67665\n82550 95769\n24674 95125\n13464 85301\n80361 84656\n17326 88758\n30429 32715\n36161 44943\n66485 71322\n22403 77429\n4744 18648\n21790 38501\n20960 78324\n3304 30000\n38403 98644\n71831 72966\n10333 58942\n22128 41067\n56393 81020\n86213 90730\n41973 67129\n30920 86704\n25660 96246\n54276 98896\n31686 40571\n11714 19538\n12811 14593\n33279 74820\n21866 27694\n44540 91531\n66425 73859\n49494 56721\n54411 88532\n2640 11555\n4777 30974\n11944 30929\n5231 37276\n19470 95831\n7048 54773\n81650 84187\n82 95799\n58035 62011\n57299 99998\n10565 31948\n1852 15684\n27395 38097\n59638 94929\n42114 60196\n42135 72545\n81036 96535\n14930 34125\n56657 69728\n53240 55032\n62085 71015\n1507 77906\n24990 72138\n11992 20918\n61169 92279\n20540 63639\n5758 85478\n33783 82900\n62403 65497\n70953 92688\n10547 15677\n59860 84134\n14916 69884\n79019 82229\n3915 83785\n20269 56209\n12410 16413\n35243 81199\n24275 98629\n31637 55395\n78444 89090\n11427 22600\n20084 72950\n3373 98276\n72874 97115\n5659 24708\n2113 82817\n29833 56766\n41808 90945\n18759 88557\n40105 86486\n77767 96294\n5713 53355\n20435 79766\n16020 50907\n2238 96001\n47637 87485\n586 49405\n40342 66975\n42302 99892\n4247 43777\n11471 29664\n67876 74325\n25349 74528\n53775 56423\n30194 31518\n8695 19505\n31385 65618\n37285 64975\n21040 92068\n14763 71116\n72495 76149\n40977 62486\n25003 96087\n22800 83500\n30533 62152\n70020 86547\n21397 83636\n22664 55423\n8499 75500\n44102 84443\n53125 78571\n35303 52783\n73017 90775\n61077 81749\n35629 90665\n31857 45023\n43897 97381\n58125 94381\n36591 66236\n57137 57603\n38012 56337\n8445 20151\n67083 91042\n12025 14498\n33398 87306\n8668 61272\n43487 91801\n47244 59699\n92001 94039\n15302 82277\n48537 71320\n58517 74127\n30950 92898\n21007 56571\n33299 43968\n11223 97853\n43953 65373\n21698 76848\n41541 97690\n35614 72794\n35280 84265\n4075 16342\n50224 56714\n11535 42618\n10734 46348\n43012 66768\n56973 92151\n36349 41473\n64542 98465\n18670 65907\n71479 86523\n46164 56642\n13719 29591\n2365 15096\n32437 92355\n42175 84629\n8673 34098\n28828 30144\n46861 57199\n4954 99041\n25117 50896\n300 21249\n59437 67122\n1864 87337\n18054 42576\n47222 60145\n34349 49270\n39153 76994\n70290 85899\n6313 49045\n31476 66083\n54341 62878\n82934 92163\n21982 46681\n32 38891\n77693 88778\n50787 90706\n32977 61798\n8127 44129\n38175 50319\n34879 58402\n36802 99015\n61958 71431\n29096 33040\n16741 99245\n29054 53133\n200 95940\n53053 67330\n54913 66218\n66881 77109\n31829 59305\n55003 71840\n15288 77872\n16176 76855\n10307 74497\n64730 88006\n27093 52007\n35330 94475\n15924 91156\n6392 29951\n5142 39839\n6289 57462\n44549 45495\n21560 31744\n31454 47077\n24774 68564\n7458 49337\n77008 95858\n10466 97854\n39996 61705\n37123 76305\n75692 96663\n69794 76838\n7607 82549\n43470 91173\n21867 60559\n11946 15973\n24924 62359\n36039 70002\n2186 18150\n40595 99456\n34863 87319\n50260 77118\n20145 80120\n6930 46272\n21694 27799\n86385 89300\n52733 63691\n33378 61871\n23828 80059\n76525 91234\n4642 44216\n9976 62658\n49027 58481\n35449 57086\n62332 79117\n44432 67317\n73112 89899\n46669 62012\n50469 54829\n64316 96846\n49551 65085\n80623 92076\n5357 93432\n1110 72346\n64280 65250\n90455 94008\n66835 70669\n69321 98970\n28670 57656\n32996 61054\n40880 81535\n41324 96665\n23005 91506\n22590 78960\n6152 92943\n42447 66575\n27665 68311\n14359 72733\n9324 77724\n24877 48835\n49754 70902\n16547 74140\n7625 89889\n16158 49437\n35387 98299\n49527 78106\n65103 80341\n88246 98699\n16350 34697\n11405 67838\n71005 92487\n8504 25578\n10217 50190\n98871 98920\n39213 53184\n74015 92758\n27864 79020\n50038 76252\n45436 51462\n18186 65547\n4206 11599\n6635 35759\n42871 46144\n78745 87699\n14356 61236\n71643 77803\n16950 19159\n17154 71410\n28779 51350\n50597 53910\n6541 17982\n27457 49282\n4257 94570\n28817 36824\n9990 97863\n40598 54773\n42290 67115\n2084 34918\n28554 70436\n27357 76895\n78334 84296\n11824 37657\n163 2196\n7725 51460\n63185 73448\n49798 78227\n4090 17184\n17220 25194\n5334 58274\n1406 61004\n2076 85950\n17748 20902\n10213 64588\n16658 95271\n4532 98863\n1274 89210\n10629 66061\n19530 91108\n737 89140\n203 51993\n46593 70514\n4653 12808\n50400 60263\n170 26559\n46079 92943\n22615 25103\n6578 48057\n7348 95401\n8143 13754\n3814 32174\n36466 46784\n19612 45041\n3873 48646\n35899 96139\n26772 93577\n55938 77342\n73835 93855\n52770 78222\n80078 99717\n11377 56544\n23945 25882\n27300 44051\n33335 67335\n7880 51541\n46985 52173\n36966 79882\n72581 83861\n6634 64208\n11703 29347\n33112 86013\n3208 21648\n29859 69369\n61086 99781\n73871 84080\n15580 48890\n13030 44141\n25608 92527\n33674 63011\n12035 50608\n38902 57341\n55515 72133\n66162 99482\n40759 76745\n12436 53640\n4018 66426\n46189 99987\n22350 61176\n12859 51378\n61100 63808\n30562 36873\n13437 91771\n17216 87674\n52674 81941\n36189 76168\n20149 42534\n39199 85391\n25712 71835\n43458 80280\n48442 87644\n65087 67700\n73608 82516\n21106 93844\n21164 90108\n15681 49102\n25072 52067\n42450 91537\n5623 91050\n49496 76466\n33256 74752\n17007 28402\n60075 62800\n17506 55631\n31290 85340\n9014 71444\n33885 93401\n30283 82371\n698 46075\n56688 87450\n32938 58534\n11664 61932\n52205 95203\n10846 59518\n57400 61583\n60833 66131\n39255 51551\n78701 80515\n20749 22226\n31195 57789\n52646 67765\n55033 83734\n52574 66017\n19978 19984\n22511 50640\n166 90471\n88172 88685\n38458 69965\n46109 93671\n53012 81971\n39851 69484\n26893 28860\n6823 25301\n29127 48549\n19505 92436\n26137 80047\n37547 74318\n63836 95704\n55984 96417\n10659 38058\n86290 93993\n50067 80816\n85849 95379\n31160 66331\n40414 48971\n30792 80643\n40822 79578\n23232 62957\n31712 92672\n32540 44858\n18456 33631\n32724 49564\n10311 42577\n24434 59220\n32643 73101\n59075 63663\n22611 37402\n50707 67463\n16011 24707\n29123 72228\n37989 66689\n38810 53585\n56392 81019\n29068 29647\n3059 41401\n29253 52376\n3315 71693\n42890 90613\n3080 87045\n51216 54243\n4828 66924\n17407 20346\n38096 69936\n37073 73650\n24016 95887\n16344 74376\n34051 40799\n33365 76067\n22524 30122\n25421 26197\n689 18444\n13425 18665\n50080 61588\n18546 92478\n31321 76452\n57929 65890\n19742 26767\n2231 33684\n18986 31692\n30087 36618\n49036 74863\n6462 19913\n17418 32304\n1294 5000\n36470 51778\n36854 83563\n20187 27105\n4352 72740\n1557 83801\n54742 73039\n16858 68218\n291 82836\n49421 77063\n36620 80907\n20375 98403\n28108 38169\n59236 66166\n52724 88410\n25864 73664\n64401 72386\n18809 67620\n24521 74240\n23021 76033\n7480 75710\n35743 68948\n27022 28251\n9749 73354\n24244 90248\n26516 49641\n28946 71884\n76929 86261\n9887 50915\n5944 87843\n21652 22602\n14045 28802\n16196 61455\n56446 64783\n60375 81952\n11280 83759\n23581 88968\n85296 87686\n11449 18010\n3743 77120\n13917 36401\n14178 82892\n12174 80016\n25850 72520\n2422 99165\n69546 71329\n23252 43945\n32522 86215\n6826 80616\n85044 92604\n43599 56271\n25708 56395\n55545 77729\n60285 99601\n29824 71248\n91176 95966\n20469 89400\n57645 96159\n25687 56792\n23077 86738\n42267 89424\n51463 81066\n57278 93425\n58245 95817\n55734 82522\n77874 91125\n8869 64162\n30530 49156\n22043 64435\n23835 95440\n23448 65470\n16290 88607\n28930 46026\n75018 86651\n30704 95102\n1097 84564\n42713 53936\n6423 11189\n33329 41368\n37144 66904\n23929 95473\n34296 37701\n63614 77243\n9314 99985\n2191 72071\n52447 60112\n10442 67165\n2643 2691\n11487 50396\n27745 88999\n2180 39348\n41895 98469\n29476 47015\n16489 54955\n61965 93029\n79551 81295\n30851 72018\n42473 97337\n32101 36486\n57811 85777\n37851 73449\n9871 81121\n42891 64403\n24730 82540\n14993 51787\n39559 99119\n33179 43259\n14446 94799\n44404 51857\n5321 44850\n58296 81719\n38914 51205\n67907 88323\n40397 95341\n14468 64765\n20159 45230\n29713 51459\n69334 95655\n26506 69824\n34963 44145\n1196 33820\n48865 59844\n69919 82908\n72021 91124\n34514 71786\n7381 37293\n59293 79693\n887 89917\n47488 81125\n85965 96218\n43188 68744\n9871 16514\n15598 53678\n33591 49998\n5362 19559\n10357 29823\n50725 85968\n47239 67591\n71795 75330\n8697 55374\n62754 74095\n7983 86052\n25553 65227\n4228 95352\n23398 45524\n9197 19090\n12976 23015\n23581 89491\n39731 93847\n24314 28491\n12662 54290\n70875 73711\n8005 25057\n5860 12772\n25184 34023\n39559 69948\n39821 73113\n29818 98124\n887 65057\n14451 88746\n348 22379\n50643 87951\n38121 85028\n16253 92171\n25465 83088\n8028 74249\n4195 83515\n9855 65923\n8439 94960\n16453 82052\n56901 59649\n31994 66878\n7233 32738\n82030 97922\n31305 96976\n40083 54491\n63588 67571\n24442 60656\n20271 59888\n22202 46721\n45727 83699\n28242 42823\n75257 78827\n49254 85378\n8453 53231\n33238 46075\n20704 72804\n3767 15210\n51147 92432\n9159 89165\n70398 83902\n14510 53141\n69979 91017\n75 90364\n79524 89338\n13987 54667\n7896 36088\n27751 38705\n11114 23204\n17709 53436\n16645 97566\n40081 80149\n34 11378\n61887 65433\n2860 56168\n4964 25956\n15616 18626\n53066 87966\n21087 34976\n1822 7292\n15259 79048\n44297 47371\n25872 28790\n51748 91247\n72375 91301\n26009 45741\n90147 91055\n35454 97235\n16160 91358\n37464 70391\n2768 7003\n25318 71401\n22189 95912\n39296 61130\n4565 40489\n18561 81190\n41290 80588\n50073 54060\n21439 32241\n25471 68698\n39189 46155\n95278 95735\n11265 89976\n6315 13596\n28511 60964\n21406 93431\n30500 81721\n24576 92064\n2682 16974\n63654 96601\n1555 63493\n61801 70076\n33482 82785\n59173 98138\n16548 74301\n36544 85847\n64200 90592\n9893 31244\n29267 81293\n55742 65858\n47247 97526\n45947 78294\n45601 94087\n22633 72254\n45500 52029\n6503 57581\n65901 87996\n53934 84220\n44721 97254\n71011 79810\n55374 87644\n73503 84672\n2056 48198\n15900 79187\n41043 92639\n47948 84553\n59194 73676\n30413 33838\n6779 25639\n57946 80422\n8362 69371\n70988 79107\n10649 44566\n13982 84621\n26914 28860\n37033 76348\n58792 61461\n7028 13747\n52123 53682\n19680 33068\n12689 84158\n17763 24781\n21407 42387\n41082 82833\n4040 29728\n31243 85361\n13615 20412\n35809 59866\n15127 48558\n10656 30819\n35467 59941\n31166 92043\n49692 55337\n71002 82915\n62640 85137\n56253 76011\n7407 27510\n48434 70975\n37949 70668\n3651 79543\n24232 79573\n29530 34035\n12383 24507\n83399 99360\n51432 55193\n18055 83730\n60299 78587\n14430 17290\n4745 49019\n30569 82587\n35837 58311\n27620 90409\n75066 86768\n40033 41741\n10986 88293\n7462 40293\n15604 32800\n55977 63502\n39831 75853\n61092 74359\n54154 85317\n35925 68671\n44924 74046\n24109 91046\n78834 95669\n19493 87175\n23416 60807\n6186 10964\n34575 41341\n35648 86415\n4015 94440\n71836 88973\n19606 76360\n6319 66535\n31810 51195\n34900 49049\n33060 49459\n16780 92065\n20441 36331\n71565 74939\n62044 95073\n87792 90100\n16517 94739\n79063 82871\n42159 87346\n36554 90029\n21217 94426\n10143 52096\n37113 56866\n9002 39071\n15800 47545\n22375 66633\n34166 39147\n85969 90550\n34574 98469\n73625 87944\n17903 65431\n5278 81413\n44784 65692\n777 33662\n6852 56885\n55079 86814\n45442 72677\n35524 45645\n78661 92977\n36729 54236\n86324 98415\n1911 27748\n68830 99240\n21640 97448\n25195 26510\n30112 47915\n57116 66862\n32782 37039\n991 25776\n14454 15379\n14802 45279\n29554 95489\n32022 42905\n57189 92341\n28915 80214\n42321 50092\n36045 67630\n29012 79236\n16898 95556\n59799 99344\n33672 42311\n48678 99427\n40277 62722\n52652 52998\n47451 63025\n776 98953\n29137 96813\n5254 38471\n12881 49395\n67880 79322\n38218 88907\n9684 65026\n4214 40752\n4827 8201\n35248 51886\n18981 95762\n43850 89611\n65695 86500\n5256 57213\n14804 99240\n55640 66625\n39157 80170\n9665 70767\n37567 95814\n38738 66692\n27571 87999\n9393 79060\n4617 18499\n50854 74760\n42519 53110\n11388 96110\n86283 86462\n80364 80474\n48854 71649\n864 66038\n779 82902\n170 51180\n27555 35374\n15162 64587\n23324 24847\n55199 94547\n30783 44096\n22994 62333\n12547 75544\n5898 61437\n18750 36144\n52861 71627\n27262 66863\n82092 94557\n435 93033\n19517 75364\n28539 73021\n13867 67594\n64761 85193\n11278 14161\n38213 53880\n36794 91602\n21956 44884\n56950 86838\n55035 65292\n14738 22939\n5694 19103\n4140 52941\n1619 50438\n2870 51469\n56472 99584\n60349 69913\n48536 52225\n35 46742\n22882 72315\n51466 71654\n30272 65363\n81736 91353\n17671 85545\n39832 42058\n56273 70017\n20570 58122\n39493 69508\n16325 71576\n16803 96928\n1701 24597\n25636 25814\n8863 62213\n15083 30334\n71928 97597\n15847 74814\n29220 65699\n30979 53143\n18178 39613\n51306 76718\n50110 54435\n10208 91684\n29567 73008\n7955 40107\n63736 65376\n76872 95498\n11596 38617\n6035 48604\n13356 14478\n41870 61265\n28602 34583\n20545 39900\n8249 89283\n5118 68470\n1249 30989\n14945 86134\n1805 10155\n10952 24546\n6064 27111\n23505 80594\n27805 33165\n2981 97911\n1574 80638\n6518 43009\n18011 66807\n6967 41186\n1544 87598\n34805 46777\n22763 74616\n12329 24841\n14950 97357\n6773 89335\n6761 43883\n7776 53515\n50979 58016\n10799 13474\n20821 62672\n24946 99426\n8957 97230\n7030 51994\n13817 56877\n13395 55579\n63630 85726\n1814 96367\n49334 95584\n57598 92330\n904 3213\n56213 98021\n7621 22997\n10382 66964\n38143 61952\n13543 73890\n86019 96286\n3091 89228\n63426 94969\n371 59442\n9496 24352\n27958 88531\n11583 11885\n15787 99200\n23165 84807\n37222 89508\n81682 92503\n36048 39547\n38177 58255\n33978 99008\n6640 34316\n11967 57406\n1198 60561\n38354 72971\n15983 87559\n46030 56927\n52519 65702\n15551 97491\n9249 49394\n49428 74566\n18620 31381\n19414 67583\n2476 71926\n5605 75624\n21708 61574\n15041 22446\n48592 59545\n18467 24680\n28614 48088\n30289 67443\n61818 86777\n50174 74817\n17990 45701\n31792 68892\n49433 96329\n8682 35841\n6207 54646\n54730 91939\n29395 96254\n50091 58675\n5641 56933\n17027 46883\n10490 54025\n5727 72175\n11523 17106\n52479 89066\n53525 61275\n36679 71655\n19235 31970\n20924 43600\n8065 90335\n62994 67019\n54809 57589\n67444 85799\n73188 86705\n73357 81545\n57738 87118\n18548 26418\n4502 47586\n12073 84440\n64019 70692\n9737 42547\n21262 34165\n59114 84355\n46891 80613\n17386 94162\n12642 45804\n19021 38020\n3469 42911\n30071 65889\n29147 48205\n32138 73486\n82371 89232\n2367 23580\n15439 17466\n36143 43273\n26762 83659\n47878 88013\n21458 88381\n73734 90421\n19904 34574\n25158 78199\n62513 96589\n15293 88191\n54791 83281\n68532 85253\n5168 97669\n5047 80875\n2507 29867\n21682 89264\n76453 91604\n25855 51073\n40563 53089\n25781 77738\n40611 96768\n44472 78212\n19657 42618\n22364 53384\n18995 42069\n5892 89822\n25026 46658\n6447 86851\n6627 63703\n8008 87625\n28438 36652\n34105 54488\n28791 31416\n56900 68192\n37419 58602\n21840 64660\n18300 64470\n16117 52944\n17893 89364\n1420 56196\n6568 87530\n775 85560\n38095 78074\n80234 85603\n1564 43370\n46869 86588\n30015 60863\n17560 29260\n2447 21754\n54060 89086\n24472 49174\n88615 98576\n481 55371\n22017 63904\n2275 99873\n22898 51900\n7844 42416\n2456 30753\n5597 56499\n33310 51665\n39741 46978\n18560 33773\n63766 80585\n46660 63496\n18076 20567\n73156 97329\n2235 10245\n735 72675\n23520 45148\n62081 62878\n54051 82914\n40938 98023\n3260 8210\n19394 74848\n6806 80167\n69826 84385\n6524 36495\n49886 94290\n37637 97280\n61726 68199\n20951 86551\n20659 57092\n40314 56363\n16702 78044\n32889 67663\n27302 78607\n9073 53426\n49905 84024\n20695 36080\n19805 24863\n59392 71906\n55000 79518\n64710 71692\n50440 57434\n45497 87506\n54788 69657\n6760 7167\n23072 34397\n27728 31586\n16815 51662\n10503 49895\n46085 73543\n3371 19738\n18668 77436\n31414 58930\n54604 62311\n24606 91830\n28389 99442\n14579 27046\n47685 62321\n38696 77608\n3792 50411\n44505 92108\n51405 97257\n31845 83042\n14882 97787\n81721 94415\n45517 86943\n16389 45083\n36774 63649\n65477 74150\n27500 72253\n7126 97954\n11205 12700\n75967 97542\n14028 69690\n64256 95583\n14307 41101\n51622 75652\n26789 39227\n25874 33753\n35577 98182\n46076 83973\n5857 74760\n25298 64038\n38238 45509\n40319 95659\n19616 46590\n24082 34131\n9037 45189\n40373 48356\n3963 99183\n628 5795\n35990 82112\n44822 80449\n3127 46472\n87369 91922\n566 55506\n79699 85650\n14243 32664\n75934 96395\n15429 91626\n18406 58600\n7294 21623\n6570 38100\n53455 80792\n3995 12912\n430 58669\n76766 97970\n7366 73394\n88321 98249\n11121 18221\n14064 91094\n4042 27435\n27827 53792\n52582 97480\n71315 76872\n15587 68729\n8732 32384\n33203 40414\n21427 45958\n34941 72184\n14302 47085\n15362 42411\n67109 70413\n30675 59615\n27045 37557\n22856 47627\n12947 37260\n22790 95828\n26077 76918\n35725 46775\n43534 89573\n27949 33859\n89676 91671\n30886 86537\n54631 81584\n5849 38001\n34517 89255\n5494 19325\n4097 58745\n14985 91057\n61318 83453\n38754 71596\n83122 84938\n9621 69067\n6729 20622\n16114 64155\n1086 41374\n4723 7733\n59989 86069\n34136 49744\n5773 27989\n12551 91291\n88055 90175\n59906 79206\n7889 90438\n4833 14180\n10533 21533\n49326 54680\n28552 97781\n47717 89794\n3975 28897\n39050 63543\n14553 37639\n39750 99825\n12296 62298\n43797 67699\n51110 69420\n2804 82155\n1575 48557\n7797 30520\n51326 92090\n15662 81900\n13468 91813\n16633 89024\n55556 69761\n28100 70261\n33626 89790\n13627 67286\n6168 76754\n28619 75860\n469 85902\n52119 71090\n38666 80038\n53994 71298\n12359 47163\n42296 75444\n42242 69942\n34372 93976\n9152 64279\n82770 86669\n50033 96900\n72797 85250\n23648 53765\n55271 75222\n23567 89810\n30837 38875\n11106 60424\n30393 35113\n21916 81865\n1774 17574\n89064 98055\n53579 96297\n1691 48549\n21904 67731\n21510 62749\n9353 91333\n65160 72587\n11342 76755\n34985 67719\n52138 89778\n58855 74237\n61212 79797\n24165 67511\n27381 98331\n36778 65007\n85467 97151\n57055 84471\n42097 95195\n21106 84023\n6741 54765\n10977 41922\n855 95344\n22426 59964\n56464 71104\n76195 77500\n71808 73696\n15927 49707\n45125 59184\n16395 78766\n47892 97239\n51403 90953\n60578 78966\n2013 20319\n36095 38188\n40768 69812\n75920 94900\n26680 42955\n50826 67579\n43010 48761\n53177 76642\n42049 91514\n13130 53699\n34428 46832\n81524 91183\n53341 73310\n36005 48589\n6687 70842\n4786 14954\n27965 40663\n33775 93562\n42710 45807\n37613 79225\n2111 24092\n52821 71835\n11065 96182\n61366 82757\n78717 97016\n3266 97474\n16109 43740\n36069 40030\n9874 44162\n26360 89204\n37198 45655\n47492 72115\n15731 23879\n13406 85483\n53053 63926\n85865 97516\n8861 13513\n17487 63930\n63875 76130\n10278 76928\n46954 80983\n78917 80491\n58323 98517\n1640 69880\n54804 69111\n21350 38680\n7640 62683\n28248 78692\n30405 64807\n6879 97897\n9038 13093\n32906 42195\n18248 86176\n46669 50292\n14199 47068\n34548 94405\n83501 85219\n77912 83801\n11477 57672\n7994 38762\n79828 92448\n18699 69797\n10595 13267\n36631 95695\n51143 59113\n35333 41344\n10932 85314\n13769 74159\n12486 91468\n42633 69699\n10287 19057\n1821 30300\n19710 72296\n3477 83866\n30048 96909\n73735 91486\n65757 82394\n3825 54830\n38732 44578\n91136 97506\n12172 26639\n23023 33215\n14548 19070\n60469 77725\n35165 80433\n62227 76962\n2136 55998\n37446 61257\n7182 68097\n9681 30098\n14646 92449\n7279 93479\n29410 77100\n42340 57681\n19724 47453\n27963 52686\n35526 96558\n24540 63220\n5138 88470\n4572 60301\n12086 62717\n12298 54710\n40176 99624\n35518 95465\n41887 57848\n29844 39513\n39654 51334\n1534 25898\n32240 56617\n6426 98255\n27705 45729\n4496 68352\n22106 65801\n8940 91081\n16444 67701\n21024 33711\n34141 41617\n16188 53987\n4169 95404\n16718 89533\n15039 88289\n64486 87347\n3136 83096\n61364 96655\n1918 42710\n3959 92488\n21625 64167\n25954 87652\n836 84469\n91866 93442\n74036 88710\n14442 33988\n23053 93403\n705 23806\n331 52561\n15161 62908\n79953 94523\n52452 95287\n61885 78473\n67272 88749\n84833 87082\n43754 72272\n46491 80091\n11704 95867\n6497 12920\n24545 48293\n41075 45683\n34996 37250\n9777 46102\n24014 78449\n1822 68325\n48923 95475\n21413 78533\n9229 68487\n57487 75536\n5197 62289\n48798 74488\n6060 84465\n25524 98635\n54171 88328\n8572 34808\n50173 66472\n90917 96980\n71958 86531\n14378 29346\n78449 94848\n8370 96196\n49219 70543\n76521 78719\n30534 47517\n7006 32226\n20164 84754\n13913 51566\n12349 75698\n80169 88890\n25443 44039\n33115 80489\n5443 91335\n44469 49103\n54724 64785\n47427 83188\n39726 84014\n29508 49991\n93910 99856\n25763 63957\n45853 86993\n80307 83327\n875 71617\n36024 90170\n76796 89376\n49790 53461\n58652 74601\n18803 27112\n51301 64593\n3926 96955\n883 18390\n45426 62878\n9370 58943\n57658 94217\n10354 41216\n32392 69648\n41612 61023\n11924 24729\n44597 98220\n11575 13638\n35226 55261\n35754 91694\n3254 4134\n476 21575\n15588 65830\n83514 90006\n48991 92577\n40590 75005\n66267 76380\n95860 98217\n2435 22431\n15212 44347\n25027 33308\n73776 88478\n1599 53609\n24887 64539\n20212 63472\n20603 29468\n37394 85685\n36538 84672\n40114 44333\n12598 50278\n28503 32963\n47878 80884\n40977 53864\n50136 98749\n85220 92945\n2 92174\n29859 77831\n64288 66610\n28986 84470\n8992 17830\n61575 67006\n23050 98737\n29013 48993\n23836 39260\n81900 85888\n46890 84072\n13705 77926\n46759 64743\n14575 36859\n36597 60817\n29077 92007\n68799 81923\n82390 90332\n20143 42810\n45439 82102\n4887 85303\n73001 76424\n68544 89934\n79016 91534\n36822 61092\n15242 41803\n28394 45979\n36916 40503\n17606 35206\n22238 36000\n15211 84591\n66456 82179\n23063 65471\n63136 80089\n20705 88970\n20242 80102\n58166 88487\n11576 19935\n46693 66385\n11595 12801\n39659 60854\n48318 80194\n32405 85366\n29816 47833\n45203 63032\n13412 36055\n2840 48508\n9823 13366\n422 38292\n16300 93552\n20128 72524\n61334 93187\n37239 40305\n68057 81060\n58573 90444\n52030 52725\n4402 26444\n12561 49999\n4072 27187\n24921 84328\n14041 19090\n14064 81007\n11012 58534\n66572 96411\n17493 41161\n44346 49852\n41648 56113\n35481 37915\n25167 79236\n31482 60030\n5224 45993\n31446 44987\n1963 63958\n87838 92986\n16238 34570\n32568 88229\n35917 91257\n57768 87539\n53663 63298\n12808 19871\n15842 87571\n73412 75136\n11965 27109\n8238 81415\n33901 47774\n21310 98082\n39177 58430\n55073 89334\n20960 22564\n40903 91285\n72862 78735\n18688 44406\n31889 64866\n33387 81814\n55114 79998\n61618 72615\n8266 71065\n30562 76373\n44366 66771\n36939 49459\n56779 60994\n63691 79850\n21284 66856\n5018 79473\n21113 57598\n5414 36749\n74341 92375\n10458 59418\n29611 69694\n11582 78264\n17725 79763\n53266 66476\n24144 34679\n8226 66193\n48457 91305\n5299 57943\n28184 83238\n20002 90507\n16407 43023\n29156 31837\n22486 94856\n39916 99996\n7762 47946\n44254 84884\n14775 64088\n32136 82610\n26334 79253\n24635 30256\n10223 83455\n25438 33978\n18522 70131\n5870 54305\n36826 93169\n4444 86274\n37552 81111\n15365 58935\n41754 56997\n24994 85945\n40703 51311\n37530 66602\n57257 79180\n8230 54627\n30462 45508\n85135 91418\n52606 62967\n3223 88135\n8796 71602\n45342 92185\n36083 88431\n19867 76646\n15140 46464\n41397 51418\n38562 80411\n55944 87536\n47601 97399\n5590 96051\n31147 58835\n26516 81839\n6641 9684\n35594 46105\n61231 66766\n19426 76831\n1449 7056\n33107 95561\n40450 89746\n85802 89557\n88271 98247\n19715 41149\n18704 86774\n50938 79283\n6688 6981\n44065 49428\n12561 32175\n24649 51263\n37241 63388\n38424 60630\n16595 55836\n52446 64163\n19606 78787\n58286 74550\n87794 89369\n20363 37520\n37632 49454\n78284 98762\n23874 60543\n39044 66789\n4406 16672\n53352 66942\n29294 58061\n39001 98912\n28107 85517\n10283 68124\n38647 90680\n7311 89962\n39376 55828\n59148 84993\n7614 73698\n46245 53695\n42173 73922\n42593 89694\n73649 78163\n70112 90026\n18508 38143\n25984 60132\n52196 93350\n2440 19589\n845 43600\n1162 63902\n8843 30087\n8873 9896\n13964 71654\n1882 16211\n13196 91582\n56142 75032\n36679 47741\n3676 96384\n97696 99516\n51878 83856\n42004 42903\n19552 67981\n36468 56809\n42681 59707\n30753 61768\n48596 80984\n7631 76918\n78456 93437\n53757 57687\n80588 94648\n30062 70236\n2462 27100\n23798 36337\n34287 54597\n29657 44733\n50781 96304\n27734 92218\n57583 79665\n28630 93015\n56216 95449\n27940 98611\n96707 98812\n34539 51144\n63927 73760\n9819 32870\n20167 34504\n40967 74004\n27162 52088\n17592 79577\n9100 11428\n10949 20930\n59528 90527\n12953 94341\n58944 72572\n59177 91216\n19325 26960\n29740 39219\n2259 84444\n92035 93311\n6858 46006\n66727 95789\n45358 47687\n43655 95277\n10088 63432\n19696 51301\n79055 87340\n14525 79474\n51013 56972\n9806 85782\n357 54189\n54430 98963\n59022 93940\n35728 97475\n73434 90700\n71915 97369\n53665 55509\n46276 50723\n42971 80001\n59303 88489\n40549 69626\n43743 50973\n36758 59925\n69970 90042\n7260 83617\n62023 67653\n54973 75961\n66388 73651\n53296 91787\n15310 41107\n78696 99019\n45355 78044\n33875 35849\n21839 81130\n29498 92610\n67596 99952\n64960 97195\n54805 90639\n48688 87439\n47000 62655\n72558 75468\n5009 80539\n4194 96596\n35842 91132\n1134 70608\n47849 84754\n88824 98549\n37863 49855\n24723 50780\n5898 15459\n5802 31713\n9767 20385\n45234 92771\n41809 91852\n94208 98722\n69544 77146\n4595 52890\n47958 75727\n43467 59570\n55637 80509\n39420 83536\n58578 65732\n44365 85698\n68454 77553\n7737 94578\n11062 43293\n42060 71394\n69918 77560\n3987 38054\n19883 76324\n44813 86531\n23576 72788\n62306 90948\n17618 35837\n38859 63729\n38582 65254\n60282 66239\n30117 80946\n65974 87908\n51843 99263\n19437 36493\n13232 43165\n48208 67820\n58873 59196\n21032 81892\n17581 54111\n1292 83697\n10676 67450\n1443 83041\n57065 98682\n58884 82784\n33070 76810\n70753 88070\n37190 65120\n75568 95144\n50551 86361\n53233 66506\n13603 24856\n15574 31432\n4290 62034\n66401 68788\n68406 95192\n50873 63721\n53327 75166\n8449 81306\n30141 51581\n2191 83746\n4272 87809\n32047 67738\n75907 81658\n45620 92233\n19067 52827\n17585 55334\n86514 99097\n35323 82813\n69254 99977\n18823 36147\n70004 81862\n69713 86981\n22992 24393\n26640 42800\n23951 31097\n36861 70389\n9306 50033\n11334 12082\n12621 92570\n16230 30251\n37382 67109\n33996 78643\n30681 94678\n38916 83938\n57137 80543\n65662 97275\n94377 98208\n365 13805\n29892 73432\n40627 48839\n35186 91819\n18954 76444\n19745 34315\n10848 75115\n63371 96542\n30135 96843\n57500 74475\n35208 80466\n15551 34532\n57078 68524\n4951 76197\n8191 22160\n48388 63124\n15692 57389\n8341 99691\n35385 37396\n24808 25158\n91831 98278\n567 90579\n9798 44926\n20345 47060\n33137 70071\n10981 54265\n14128 19393\n2918 33758\n17100 45022\n2334 5986\n60480 88894\n37210 82486\n34240 74649\n28183 68458\n25749 36588\n53311 61194\n3533 48611\n6822 50039\n56 95310\n33370 52061\n21623 30489\n39575 86556\n53100 96469\n80661 91342\n86652 92770\n18677 20446\n48164 63745\n80041 94299\n32927 93182\n953 7303\n75952 85573\n80831 84161\n1300 24896\n16990 99405\n12442 98855\n91362 93466\n937 55401\n23544 76188\n3251 85709\n58122 82132\n8409 57454\n68818 71158\n12313 31624\n25714 87944\n9728 45218\n5869 72301\n14634 17802\n21972 52763\n41614 52892\n13952 31965\n42037 47167\n52004 86333\n8434 76210\n53972 69647\n47314 79822\n37357 50132\n59209 81646\n47376 72941\n30817 91956\n18450 49302\n21540 95198\n23273 77964\n23440 43842\n1577 72287\n72001 80898\n25706 71406\n61281 61318\n3063 93802\n44529 70036\n76070 89939\n37556 88966\n28976 85778\n19011 80508\n39082 83698\n16732 88414\n28192 78183\n16990 79872\n29348 43530\n62357 75420\n43295 97268\n30262 76662\n1014 56227\n32229 60787\n11875 85757\n26968 65114\n1297 54202\n28428 61753\n34824 95777\n67403 70971\n25296 60042\n24054 54569\n60393 69448\n39916 83679\n27621 34528\n46112 68637\n45761 90856\n24223 95377\n28137 95763\n4065 63833\n21420 34945\n9158 91942\n38527 41349\n9448 83472\n76796 83418\n29736 43323\n41745 72370\n52342 69483\n15961 26806\n34512 70859\n82284 93624\n67519 68098\n27129 84225\n17911 89551\n23622 45987\n33785 37145\n82147 90438\n26166 37258\n70312 94652\n57287 60808\n22659 65323\n17431 21423\n7642 91708\n75551 91902\n28472 57196\n30148 62245\n59514 99409\n57004 88642\n12071 92270\n50480 57229\n42980 63360\n45134 63169\n6169 94417\n10100 39428\n7559 25307\n13376 32777\n23039 28801\n82021 85824\n1277 55799\n88085 98607\n83893 88814\n46368 98145\n39328 61824\n24876 34534\n48327 84089\n18444 29563\n10139 72344\n13815 15041\n49684 51308\n46007 51338\n20300 50469\n20888 79367\n2057 89554\n20193 37896\n3648 89013\n43938 91070\n79468 84392\n81765 99272\n40597 77474\n44259 67502\n39907 89674\n90475 90988\n56345 57074\n52294 83610\n21500 71525\n20209 93760\n5396 92228\n84096 94148\n52173 66509\n15559 51607\n37158 51757\n59367 96229\n6129 62853\n4582 33512\n10414 35778\n65825 94010\n2139 77862\n8220 10099\n40877 46050\n14010 25300\n53839 58087\n758 84430\n42177 80901\n10639 45890\n25107 45818\n61046 86693\n75969 93592\n31944 68010\n21682 59797\n37478 72495\n35938 36663\n32717 43431\n66973 88133\n21829 44555\n1676 28566\n26807 74781\n6750 68431\n12237 24567\n56958 92653\n67680 70241\n5991 45536\n55871 87396\n18503 94804\n37224 95170\n25625 85566\n22185 79529\n45299 48589\n19651 50199\n57207 63026\n23092 45776\n80643 90840\n62692 80653\n11840 64704\n21736 41918\n8246 93240\n6833 12865\n19981 73646\n34788 49132\n35567 47770\n41884 99634\n9257 43204\n88751 95135\n24635 73360\n10310 53248\n32959 98170\n28808 32356\n46929 64540\n2465 4858\n12255 72612\n82619 82746\n28413 49476\n12496 92692\n10316 67650\n10211 24255\n12350 28641\n36767 81808\n53500 87031\n53473 61508\n21815 43235\n69070 72258\n80159 93111\n68989 79498\n32647 50701\n16300 96263\n13017 64324\n51495 84390\n60672 74005\n41506 45988\n82979 96022\n3449 42788\n21661 77278\n15030 22000\n54132 90526\n23466 47300\n13586 77799\n37372 69416\n40215 49821\n29173 59088\n80545 84266\n52019 88895\n67259 86845\n29325 62122\n29564 94832\n16338 63769\n35095 36153\n15136 80519\n20881 60304\n51381 94775\n5575 85437\n18385 26634\n44892 92109\n57409 67079\n43084 62669\n26637 77489\n32470 34138\n8596 89830\n54375 78177\n22981 75247\n26559 34194\n27109 69198\n19239 22965\n53477 81606\n78472 84183\n92220 96988\n17747 91413\n26255 30583\n21927 34530\n4154 47402\n61660 84499\n27172 43982\n20442 57454\n47389 73437\n7669 86092\n40816 60688\n71791 88795\n948 90729\n29794 47206\n55298 91553\n24770 70677\n44833 52511\n8736 89310\n50767 57892\n29510 90841\n12877 32429\n6970 99585\n6500 74556\n20146 38386\n59847 65462\n18903 46873\n66916 99966\n32799 78737\n11821 25706\n51427 95361\n8360 81514\n12965 33118\n20265 65069\n74194 94298\n37628 61779\n1139 95289\n50400 93038\n2652 63502\n89610 94963\n74254 94436\n4057 87432\n14175 88176\n55672 98804\n9760 67472\n12285 43127\n54130 74545\n16922 17746\n27700 51883\n34583 81754\n2821 69506\n22558 50549\n48032 86326\n25509 76702\n18545 53108\n19517 46282\n35514 61557\n9952 53884\n20575 85042\n24632 80357\n62643 63028\n29918 87988\n21000 72641\n88103 90614\n3573 15383\n27964 37692\n25030 90351\n18042 75345\n89097 98926\n8579 40248\n8979 98290\n47102 70057\n21202 50068\n9882 72286\n45651 59266\n59290 85192\n43343 81637\n14660 87894\n12317 60590\n7717 52936\n55317 89228\n48245 98300\n75843 90952\n41540 81392\n50895 88210\n42286 76372\n22516 66922\n6461 87360\n49152 76240\n79135 93200\n14676 34146\n36641 69131\n51483 54831\n5727 65636\n42783 95173\n8795 13356\n39087 74312\n38215 73263\n17234 69769\n4874 75099\n29983 31299\n31799 65096\n34554 87174\n4468 73241\n60113 78320\n41076 87478\n53565 75591\n55683 99960\n48955 66131\n5413 98644\n16556 37996\n3605 90484\n26180 52768\n7753 83029\n20406 38347\n47716 99693\n15695 16481\n11315 42439\n6413 45462\n1834 60853\n11724 64223\n12253 94915\n3544 92196\n51111 97076\n11653 48452\n10996 32078\n5086 81345\n5556 25416\n40671 48473\n50573 62825\n34865 90256\n24884 87206\n5881 93794\n21026 64823\n54919 78004\n23839 43312\n17464 35134\n40243 55670\n22430 90311\n27919 67208\n47240 49959\n7890 18204\n135 20505\n13831 51239\n40309 77006\n9097 47252\n5329 39476\n45144 93871\n43833 68314\n40257 64574\n782 45817\n41204 65775\n26635 98030\n58000 72749\n1675 89927\n17635 57982\n3797 4869\n30442 45431\n45372 98999\n49949 94691\n47844 88119\n31275 53179\n31080 52955\n6227 48059\n44117 71765\n4616 22314\n58891 99301\n16630 78675\n73239 73465\n31610 98791\n94505 96567\n51017 63329\n72448 88348\n70594 91167\n29389 70323\n31673 91850\n28084 86651\n50133 69335\n807 64684\n5862 47411\n40850 47116\n25886 52455\n47581 84095\n1039 56668\n30090 91178\n4851 75569\n9789 81645\n11866 94174\n33328 85454\n10848 28150\n34286 42439\n51871 95967\n46436 96744\n15525 16842\n18109 22235\n8320 34605\n53004 94371\n38720 59078\n4359 81863\n3051 71183\n72937 86383\n76704 98582\n40707 73185\n37788 46299\n23279 97025\n667 33052\n3831 36142\n7538 47821\n7820 24627\n24134 39509\n18282 22548\n21987 51020\n2774 98795\n26107 85293\n90534 93057\n57764 75528\n26523 75836\n52532 91223\n66363 83398\n2531 41144\n90677 99115\n29356 65309\n31068 33434\n9746 82435\n24655 37060\n68606 89530\n636 6108\n2185 34009\n14830 29191\n9843 60650\n93214 99844\n73285 98193\n39434 48478\n17114 76085\n18335 85634\n61215 64180\n50575 56077\n16002 86323\n56650 60633\n2135 97351\n38005 52068\n77702 95470\n45274 79480\n40713 53214\n23020 27149\n4452 10732\n44622 48649\n31609 39103\n2634 72807\n27134 91399\n10317 46218\n68289 72326\n35485 68961\n26649 55755\n56575 94634\n29816 66525\n693 39925\n53225 54224\n20290 70416\n4821 15640\n18749 25733\n31009 79350\n1072 67156\n14180 74138\n79296 91672\n40776 67177\n59977 99395\n11112 78386\n36776 82270\n77347 87715\n55895 62796\n1358 20728\n25418 70131\n5538 60746\n58588 81088\n25014 38808\n58317 60991\n3526 46181\n15711 22610\n58798 98189\n28330 64556\n42187 99737\n44982 99777\n31778 99312\n48105 62502\n73638 88275\n48809 53893\n25660 42357\n77916 95185\n18981 56365\n45117 86710\n53062 73380\n77590 91546\n32634 87374\n54116 81594\n58358 81343\n25181 68400\n15016 90645\n18024 46441\n2116 9372\n29561 60803\n53808 89267\n3668 49440\n57095 73148\n1523 5364\n62214 63824\n46783 92817\n18783 50029\n3802 95195\n341 98156\n14626 66454\n22593 98850\n13066 71154\n49364 53798\n43334 79379\n13124 16879\n6223 44012\n15242 88548\n30146 55051\n3737 82052\n64865 72151\n23956 94623\n54903 94499\n449 1719\n19584 80421\n5481 90705\n24723 95832\n33327 91325\n64472 80931\n76827 96943\n19793 58932\n62567 63249\n51072 78816\n56281 70620\n22866 24529\n71494 81879\n15622 97778\n38173 46233\n12291 44783\n18051 30650\n925 32404\n51810 52325\n46399 77712\n87667 91766\n32556 47313\n77038 91362\n44409 79934\n57643 92999\n51189 77728\n44907 81190\n76660 88895\n26738 66710\n64826 75963\n46646 61441\n3938 96285\n25578 62229\n18061 44593\n30143 48040\n87137 95205\n13668 25338\n31432 69610\n6978 45819\n60573 85643\n30808 82201\n21397 69801\n24378 94983\n9180 85096\n48595 74899\n34669 75808\n21798 98211\n63365 94045\n14207 37714\n54185 66232\n3997 32140\n30200 98096\n69582 83844\n63813 84123\n11205 91489\n16429 68812\n29242 64205\n48015 88913\n58097 64141\n17264 32483\n20546 90803\n426 25299\n42891 67213\n47464 80378\n3299 87267\n14393 92422\n19029 68822\n53826 77334\n27884 75751\n1972 30406\n41382 55916\n20088 88599\n34025 77959\n3959 22881\n10651 89610\n27148 52560\n7843 15268\n23478 85600\n61136 99806\n4260 75191\n26926 76971\n45900 63651\n71087 84357\n44345 85762\n38621 96097\n52278 54515\n28706 34287\n1219 11938\n35457 40188\n27843 46271\n28611 45277\n28824 29702\n26643 77341\n43112 93523\n4665 84075\n40106 92234\n1567 70020\n19477 78011\n54701 98827\n45316 69238\n37318 88504\n58929 69233\n69079 70756\n45978 84365\n7011 90232\n440 49243\n5606 23655\n9894 93333\n3681 18159\n35086 60256\n69455 87577\n25657 68055\n3874 31632\n13103 96427\n35512 36060\n54234 56018\n64848 71173\n64905 69192\n1455 27749\n49757 63532\n9857 53530\n35618 53918\n74364 86498\n67228 76608\n39118 89129\n17889 61067\n13473 35211\n34638 87851\n82769 99729\n28878 74157\n74393 99736\n13279 14815\n59166 94621\n375 21051\n49736 77567\n65219 73711\n6756 24452\n71355 95675\n18485 38274\n54674 70324\n19442 41591\n201 98159\n11435 58548\n54733 65105\n52976 91306\n3984 43655\n26450 93634\n16390 62965\n22443 81429\n9361 21406\n82460 85503\n92568 95483\n5994 85375\n66851 95264\n7603 36736\n44341 75419\n32241 51420\n2546 66503\n64939 80385\n7734 80024\n91755 96105\n51878 97373\n52185 60069\n832 69806\n1505 77273\n21667 71087\n88979 92422\n1221 70083\n7481 60877\n28780 72280\n44896 60201\n16521 26217\n28982 65623\n17405 25344\n18587 73742\n79938 96328\n2171 81633\n29229 71735\n62345 73633\n41217 89480\n27261 78488\n21031 79662\n10031 93383\n63228 83119\n58960 61756\n3956 5419\n46568 74524\n20254 70965\n18354 69373\n85174 98118\n22950 74721\n6615 10242\n49906 54729\n78865 93303\n12379 66558\n49120 70106\n23417 88682\n19659 48473\n16569 51859\n20158 87120\n69205 74928\n53598 83458\n48032 62886\n7618 59648\n51137 93285\n21897 38282\n39953 64740\n53357 57904\n23658 26360\n18560 36064\n18562 21524\n444 10057\n25858 91253\n63332 64095\n37277 58444\n37214 51091\n31 37375\n4466 76153\n8795 16232\n24220 73204\n17291 68388\n31173 42558\n39892 62221\n44585 68037\n5649 43256\n18760 58443\n76448 92445\n33485 96709\n6538 76594\n20147 24444\n81883 94073\n20140 57731\n24987 82966\n19350 99961\n3235 16266\n38819 71360\n29070 80167\n24665 60349\n7824 95695\n199 40806\n18600 27602\n24691 65775\n19421 83827\n46394 90230\n7345 91054\n554 97653\n30072 67052\n54496 65872\n9842 10897\n25596 47549\n15147 41230\n51336 62847\n26773 51280\n9179 30917\n68047 99488\n59899 91375\n36401 42705\n69513 78117\n13017 49708\n67157 73501\n74863 88136\n65768 99800\n75125 99051\n5258 21370\n6616 94152\n1133 43985\n38090 78961\n21684 21845\n33392 85091\n11844 92745\n5778 9054\n74159 96528\n36521 94749\n79939 90564\n26567 76451\n45000 82801\n66251 84023\n43486 54213\n74712 77758\n31017 76320\n58296 83796\n28302 51598\n63296 72978\n23920 62044\n28455 33544\n53813 99595\n50180 96772\n72598 92737\n14185 70122\n49318 95103\n23674 28233\n28265 37120\n30138 95019\n13689 97420\n559 42859\n52751 74519\n87953 90279\n90680 98118\n71088 89865\n1779 29069\n10969 15819\n26706 75125\n23794 94771\n8868 63852\n31718 70266\n5888 26611\n3868 90873\n63479 95208\n16018 51534\n7391 49581\n21943 61525\n10288 45766\n5243 22599\n63291 72706\n21499 71204\n10763 81183\n25112 28078\n70580 84367\n30551 61902\n81681 89877\n35520 98696\n8468 61379\n5609 36387\n11296 12323\n70138 82546\n14692 93001\n62664 88600\n19046 74882\n44034 67337\n10662 91343\n18656 18795\n56316 58917\n22627 97989\n71076 71508\n6588 91893\n6116 87183\n18243 94161\n9151 26734\n11191 51551\n71153 79373\n11236 44366\n19574 28245\n16903 29273\n82958 95396\n10399 71623\n20328 57471\n13160 28897\n310 5131\n57642 91291\n14521 87351\n3376 74743\n59349 92746\n4951 68554\n66200 80653\n7482 55836\n1782 96919\n4814 31841\n52566 75427\n2089 92292\n6129 63648\n92155 94544\n4252 89242\n40159 81002\n19233 94038\n31007 55106\n14529 27912\n45691 72829\n25409 92404\n33481 84513\n28177 55733\n39651 56573\n37263 94817\n3138 37791\n28105 82861\n42007 47159\n25969 31045\n53199 82679\n81 79025\n25891 93066\n7756 8998\n4420 46288\n41439 60698\n37618 64477\n60317 75958\n50045 81526\n405 97123\n31958 74412\n42672 61581\n43939 81638\n86050 95514\n33843 46691\n51756 93039\n87442 93818\n15111 20830\n5742 68486\n3619 22551\n52308 71327\n19954 44038\n27493 55452\n57823 59517\n20289 50632\n27884 89705\n16826 36471\n2304 54679\n32972 83914\n42220 58350\n8625 28903\n60067 62185\n42688 93934\n77314 99904\n42454 62283\n51068 86725\n17371 69301\n55806 58429\n3048 43470\n76066 99717\n89985 95069\n42252 77148\n63378 91377\n12134 16893\n28401 58934\n19827 35472\n20878 89351\n42749 51858\n22673 35651\n7053 35632\n51613 91725\n49551 57753\n33262 66012\n64347 66729\n43367 68828\n77424 93370\n9038 34236\n62473 77686\n28033 99242\n51600 55648\n38196 96109\n11127 77361\n73548 91080\n82849 97330\n12213 73822\n16177 74412\n20299 82841\n19492 94295\n9746 87892\n51260 71999\n45539 60024\n31895 75198\n24427 37341\n15853 54235\n16793 75840\n22689 99843\n56138 70904\n52211 65686\n83976 89984\n30232 50399\n7376 86360\n44964 52732\n25162 40749\n76199 87313\n43282 92581\n1810 93800\n58014 73610\n93360 93858\n29519 61737\n16697 21841\n11923 27266\n43918 95212\n2154 88290\n4629 6677\n10155 76912\n36535 80698\n21718 98260\n19604 99641\n51983 89048\n51772 99510\n95297 98209\n80276 97466\n34246 57803\n77250 94869\n73998 76303\n19485 96088\n47998 84535\n4562 46341\n38625 57449\n38478 72476\n35972 84303\n39664 40692\n32169 69622\n5705 86060\n14203 69370\n20961 84049\n50247 84552\n23841 48533\n15879 59618\n59626 82825\n7330 18957\n46117 69738\n6255 45412\n80595 87583\n4631 49648\n17513 66693\n4113 66560\n46188 78769\n49199 79427\n3013 24872\n31014 84794\n36933 56695\n77569 86444\n51765 55952\n74907 78483\n39926 62194\n718 45222\n534 33516\n78623 79035\n24688 34701\n18428 21403\n67974 72833\n14199 81474\n58879 60348\n32441 36872\n46625 62242\n24803 62986\n3161 88623\n34326 69286\n22743 61585\n49739 95510\n47414 96147\n15473 59926\n10880 62053\n18599 39610\n84993 87912\n2075 50000\n21832 57914\n81578 90576\n34402 77872\n32821 72906\n56459 96153\n75333 85667\n86562 99704\n2743 85091\n61654 63640\n1047 94296\n22411 80055\n11262 13725\n21622 25503\n62724 84073\n35369 39506\n46729 88682\n21622 43881\n26539 71115\n21963 90225\n48664 49566\n47798 56066\n2264 16251\n50647 93998\n14288 47300\n47890 83895\n56088 71285\n37744 94253\n28136 45456\n4617 51359\n53941 91614\n77829 83694\n20246 88750\n5951 23247\n44608 58428\n93689 93952\n27599 32167\n10557 40427\n66055 71931\n20392 21246\n14358 32654\n51493 87930\n11098 29978\n4245 9699\n49973 63644\n50935 62482\n6490 87569\n3089 86584\n4672 8026\n9529 74464\n49231 56141\n1084 80360\n40655 44969\n31734 99681\n72324 89714\n16942 35610\n54599 91165\n22729 68338\n694 30147\n83131 87805\n27453 90582\n14494 89541\n15902 26583\n65219 85856\n8203 30277\n36413 94122\n20360 72160\n92410 98710\n68252 89556\n12161 63172\n25927 87406\n17368 40193\n53920 55504\n63105 95925\n41925 79715\n53000 77772\n8025 30837\n38521 64824\n8727 11271\n19481 28112\n77568 89682\n37686 55513\n76722 80946\n26484 72857\n8757 91017\n31517 78612\n21225 66585\n47413 58392\n45730 97580\n12503 71560\n49195 57534\n29014 29808\n10287 95276\n4973 8903\n25259 56648\n4690 42020\n21573 44525\n22795 79130\n4838 13004\n69838 85751\n5261 95387\n20117 63799\n30738 64634\n33578 86485\n3084 36660\n27990 70743\n16778 45507\n18074 60300\n6772 99046\n39167 84176\n36601 82252\n73856 93176\n77636 90634\n5001 51908\n14059 98864\n81539 99270\n32405 59323\n66830 84755\n60755 87733\n9495 76046\n3447 49024\n13188 81064\n17107 46262\n44074 44596\n83243 95591\n8080 79317\n49527 49642\n23439 42627\n38270 83178\n1305 96172\n3637 42077\n14809 70875\n28108 58004\n61429 86128\n13679 70068\n10225 13837\n20030 27845\n50115 67308\n5571 55517\n20752 24221\n53387 94243\n582 96359\n50396 86339\n9430 56846\n35201 50805\n11725 64090\n38964 81239\n17690 24548\n50950 95166\n44370 78577\n57682 62633\n26598 38721\n84954 93349\n47663 80273\n138 91720\n62623 70345\n21252 83067\n2905 63997\n53843 92413\n45630 88347\n33125 70051\n7349 91997\n55779 62674\n3022 52480\n28657 84849\n57274 65342\n10091 83630\n58562 94726\n7874 83462\n65821 85410\n54642 66867\n43795 45501\n10055 81898\n40376 94724\n14398 29886\n29667 37891\n9815 64168\n33349 46642\n1021 21021\n71506 88294\n47111 65455\n3646 41915\n67386 87973\n21219 54293\n23493 74788\n63517 65141\n34463 94954\n221 30303\n4576 16575\n58091 83684\n44857 97176\n14124 51784\n26549 47023\n16491 65259\n3837 4407\n28630 77521\n46825 69969\n46794 68144\n48898 86635\n67745 87734\n56363 96095\n56468 60408\n63482 92262\n17708 47396\n6549 83019\n25279 27237\n18272 75399\n7397 20651\n51919 95029\n16325 42417\n58295 85213\n8249 52748\n14190 24748\n20081 44460\n27547 95936\n9336 23530\n19334 73139\n4035 48478\n24088 38083\n47695 70354\n9950 89367\n46635 98910\n5985 16255\n52787 79323\n27728 40971\n2751 36242\n56292 63059\n2395 28584\n19333 96999\n45730 87791\n84554 93210\n27083 42696\n64687 79979\n37573 90216\n73292 74130\n26091 77415\n46245 65207\n28905 61829\n24047 61142\n37244 60422\n26266 58171\n38639 43936\n55522 85538\n60491 89172\n55977 93926\n66234 77975\n61285 87129\n52737 72312\n84680 85720\n32681 60072\n67756 68741\n18271 89803\n29789 43780\n39967 95532\n12806 59314\n7859 84080\n8879 43131\n13103 42446\n60281 77009\n26837 98159\n54698 91890\n66707 92021\n64316 96060\n24833 46829\n2520 5870\n24706 69317\n35034 91918\n31722 75584\n17238 86227\n46590 67521\n155 76024\n61204 89054\n57082 58579\n27205 37005\n30238 60885\n60545 78611\n20695 51684\n81889 98980\n63166 79692\n1201 11876\n53610 77676\n4796 20542\n50146 89927\n8652 86784\n24343 48729\n42127 91665\n13124 60502\n80949 96525\n24694 96952\n51639 80154\n19976 73164\n56947 69454\n93842 96691\n14436 45921\n1449 98523\n62844 70358\n15780 54822\n461 57200\n12354 53630\n22205 89006\n5438 26735\n47010 60815\n3895 24008\n21219 45092\n20347 89969\n27042 86524\n11840 94137\n18992 97017\n73151 89779\n31830 95330\n10222 22648\n76902 91494\n31818 81146\n34691 64902\n17415 28094\n19289 25615\n43543 89489\n16105 96999\n36975 67357\n50545 78523\n41866 60121\n52479 76848\n52641 77119\n11552 48803\n72233 98644\n36895 39546\n83955 92349\n19742 31646\n33196 81071\n1426 91641\n269 18914\n53302 72695\n30702 63422\n3921 57307\n21797 29470\n42150 42465\n23655 88539\n1842 67620\n36957 52186\n3002 91167\n24010 29463\n13214 54028\n44597 81172\n42502 48813\n41250 92030\n84412 90324\n13368 69422\n35665 40871\n33856 93234\n30618 64572\n77395 85362\n29285 49899\n66161 97093\n37228 93005\n296 86505\n51924 98656\n17312 21244\n20176 25043\n23249 82283\n37183 77246\n34285 74567\n17697 92117\n5594 46566\n43331 82757\n27519 75898\n87995 96892\n21954 30774\n4530 95259\n49689 88001\n23612 45778\n3810 89177\n23385 73996\n29317 71753\n78423 97616\n26347 77233\n34346 49863\n7920 87776\n7149 22600\n67608 86065\n40639 71775\n15589 81350\n12032 91936\n71444 82679\n3933 15267\n35685 74967\n55488 72981\n73247 89312\n18145 60270\n68865 69208\n4943 77076\n5798 27300\n34058 56525\n46075 72952\n63668 69263\n65511 94678\n1948 68966\n49747 57635\n36563 56075\n15551 58417\n27114 28003\n33607 57520\n44315 48822\n43846 50785\n5463 78404\n56210 89781\n16259 28210\n80351 84673\n33099 92473\n9285 98227\n40516 72984\n20607 38912\n9036 80739\n13796 86002\n44830 52003\n41845 74442\n62387 69597\n18071 58083\n3007 88235\n10614 43894\n22569 62224\n28503 99352\n41008 41776\n56738 61063\n9736 76504\n5841 30409\n22521 34230\n22524 40963\n38475 93067\n2040 79114\n1998 74237\n64480 84462\n21612 52102\n6661 11541\n71914 87834\n6551 33487\n37822 48067\n2400 58678\n7438 59492\n75542 92358\n7257 23336\n69301 90137\n82699 94335\n54474 82525\n56209 96494\n43418 77735\n4158 92587\n7675 59522\n17150 42156\n48567 72235\n10103 64037\n75903 85448\n18220 56725\n49065 65353\n31851 35037\n15797 24227\n20993 22774\n1978 63184\n11930 78934\n76562 94454\n2110 55838\n45326 48235\n26521 89310\n18554 94243\n63843 86206\n7112 48629\n3106 79968\n66075 71190\n3944 90234\n10454 73605\n76105 97700\n631 61750\n33600 72887\n29468 61890\n38199 49494\n16402 98541\n25881 66094\n16738 68812\n55945 75607\n8447 42992\n51238 82862\n4349 16284\n36710 92973\n14999 62422\n16083 91470\n16502 63600\n52531 97794\n46677 94691\n15956 53665\n9156 54774\n48493 68544\n36408 88255\n38331 58663\n17713 87480\n43014 54159\n25281 52420\n21708 49783\n73882 92689\n62656 75318\n69415 78487\n34694 49314\n62640 71127\n23956 60028\n44451 68255\n76818 79098\n4681 14972\n74785 88620\n14387 71985\n1781 95133\n23417 68216\n29101 79045\n39720 93858\n29254 96402\n78947 97869\n19632 94297\n11960 86939\n15243 20526\n81018 91917\n24266 75133\n52026 57954\n14353 51993\n21318 71237\n14430 17064\n2538 99767\n10384 17244\n7736 58079\n34276 44786\n16985 25046\n3358 21631\n33072 48772\n65066 79345\n58110 67589\n77011 77779\n22144 23401\n16398 88623\n49282 84200\n2872 71060\n24047 24377\n2412 87038\n27633 47787\n51718 95303\n1515 78086\n50408 84028\n14738 49016\n59288 72310\n71269 82641\n44022 90873\n27567 79048\n62490 71254\n19335 31082\n2178 96948\n13328 79815\n57918 59081\n82266 95690\n21753 92266\n72889 91510\n19598 30878\n19894 92407\n90686 96546\n8741 99362\n45282 88961\n31591 42048\n14248 93929\n33986 37920\n6044 80293\n41654 47454\n48859 95419\n55246 78153\n652 4905\n23397 53660\n37617 98110\n76228 94394\n60537 76615\n15262 69559\n72033 96425\n46895 70067\n3790 43184\n19748 76210\n39255 72240\n60742 62585\n76039 81850\n21599 65991\n18973 89158\n25654 53332\n15169 68119\n62925 92645\n60325 76342\n7595 77597\n76531 84103\n30962 97935\n1429 41848\n4222 41337\n33072 99248\n2717 78309\n981 24641\n55570 96442\n59289 75397\n15695 64386\n59562 78314\n40402 52965\n7784 33272\n43054 88256\n10659 38991\n64342 75545\n38989 89514\n30221 85572\n2319 65852\n23878 36283\n10176 18955\n31560 66376\n41633 82871\n63625 65535\n18443 68407\n19548 82774\n4808 31466\n6759 32927\n47255 81963\n6044 21934\n63542 90652\n59912 62279\n42499 99200\n41947 58875\n31716 47790\n2748 27755\n6493 8620\n54509 79757\n77547 79145\n5927 57258\n32961 62786\n16528 36697\n5502 60405\n27254 31920\n17673 57674\n2636 65126\n3338 71179\n15689 85580\n66077 84512\n2386 91124\n36951 83784\n28201 76423\n38204 55460\n22035 98196\n4641 94934\n3921 28638\n42425 48354\n29902 81172\n7824 11999\n32807 44234\n20479 26150\n66274 69885\n56795 61326\n35801 51745\n32208 46982\n68240 94085\n41065 60632\n37596 66714\n23013 75725\n5889 94185\n19648 53895\n868 77548\n30772 95020\n31794 73240\n1376 16663\n16912 91988\n62389 68251\n85646 94084\n11918 81769\n86612 86773\n52301 81410\n86516 89759\n3290 47896\n13753 98768\n46323 95642\n87241 97259\n25418 69678\n7272 83544\n22920 74572\n45325 81018\n10053 54266\n31176 56948\n19079 71472\n31560 45075\n11876 39314\n52860 95997\n20806 73816\n6550 47496\n61975 96139\n20768 88232\n5974 79832\n30910 85537\n36635 76475\n14462 59617\n6301 26387\n19821 52917\n19708 95130\n40332 80847\n43063 89049\n34254 63259\n3738 58070\n37849 83673\n296 77203\n66805 82753\n69497 78125\n72467 98878\n66714 78724\n81291 92394\n30927 92749\n33987 54989\n19379 21009\n6028 52809\n8022 26434\n1436 98986\n27574 63882\n18405 95557\n10640 45604\n6524 80809\n6646 11849\n87381 97967\n33455 98542\n23552 36915\n55557 59688\n30456 90295\n36731 49413\n4132 14295\n9797 12245\n46989 64830\n21113 40733\n13823 75579\n41659 71490\n15958 84331\n25344 71827\n38101 42707\n47734 98285\n57398 61121\n74319 82428\n34619 79225\n48268 55364\n26706 68289\n16178 86811\n30995 67908\n26211 67509\n8003 54037\n43547 97420\n20076 96917\n51764 70237\n32187 99673\n27336 81389\n8241 52434\n32333 49164\n40461 99614\n18669 28801\n20243 47945\n26469 40826\n6501 79414\n82756 90815\n36464 52171\n7655 55510\n37974 83071\n12037 22804\n27367 39993\n35808 50677\n50215 58160\n31329 57332\n6542 58115\n1179 94172\n3749 6422\n11602 23281\n50325 56303\n49006 88645\n68433 98305\n12176 93369\n28165 30547\n59448 91061\n43917 45452\n1820 70894\n44691 65018\n14815 59416\n46980 79703\n84280 87149\n41737 72925\n40900 64093\n41123 49975\n15818 23152\n12772 92268\n26467 43816\n13450 56832\n13188 16853\n15129 35170\n34039 52081\n42962 91828\n84975 89337\n56581 74292\n53751 80573\n11884 45168\n47986 74313\n68154 99706\n41837 62030\n76667 79157\n27731 53268\n2650 61250\n28416 32238\n52591 94272\n70094 93710\n36120 95270\n68897 82143\n4764 42931\n32903 96976\n43475 98671\n41988 84452\n77562 95360\n51095 94209\n25179 38073\n12032 16746\n4030 67628\n26291 62830\n60143 67996\n14398 54247\n54214 80165\n17989 58945\n3515 50212\n26947 39715\n20963 38445\n67726 90095\n37440 50639\n79199 86596\n44150 91721\n64794 78178\n25065 52199\n10915 79427\n7327 38677\n43345 94814\n46452 98030\n80453 85987\n3399 76282\n22964 49570\n10837 78984\n485 90443\n14754 40444\n27616 93309\n50447 55028\n3315 29822\n78148 93637\n549 27366\n48027 82298\n57573 69231\n22847 82442\n71536 76270\n15637 89531\n12936 59696\n56575 77203\n12274 66622\n31529 51805\n53790 77820\n40389 99089\n41690 53243\n13381 33573\n19819 99731\n60261 71641\n24627 92848\n11492 93612\n55559 84259\n50582 67252\n36758 66622\n1952 24553\n10568 41595\n16732 62844\n17714 29607\n11469 80042\n37913 66790\n53141 72931\n19575 24082\n54511 62031\n39499 80860\n43469 51607\n8681 13453\n63396 87822\n15392 67071\n20854 57792\n25132 91271\n6331 60818\n17156 92113\n3656 89687\n6162 54436\n45018 45998\n64865 74789\n3356 95902\n63001 66900\n10982 31311\n7681 19969\n29928 87431\n9149 83955\n22898 32968\n56826 91368\n72368 96833\n43396 61874\n46560 54945\n41485 66486\n68496 71710\n40137 62357\n4242 7729\n28204 36533\n24757 96795\n43581 46759\n3000 84898\n45331 46463\n15702 46303\n58411 95723\n26148 88376\n18711 61542\n85732 98132\n27585 35119\n29881 99437\n16667 91631\n50606 86646\n12524 90012\n30194 45235\n509 3793\n11003 22082\n4517 39046\n4287 54794\n46618 79363\n49660 62926\n4122 26896\n174 22770\n10221 65848\n93031 99576\n716 76606\n45443 86951\n23890 90017\n10124 60176\n21836 73900\n14702 69822\n11901 57300\n65031 79861\n90673 98737\n37615 87904\n5993 42580\n23029 58799\n47452 96688\n4698 67136\n9327 36728\n1345 10354\n31232 80758\n38910 91720\n53093 89058\n44855 49690\n55457 98815\n47422 47529\n19706 38959\n59778 73913\n27907 77426\n18984 20883\n84085 97521\n1508 16848\n18707 62049\n12498 80767\n62118 79724\n59643 79845\n15118 23347\n40348 60823\n35318 58606\n5925 30045\n51691 99884\n37628 99372\n35648 62864\n31856 78365\n66831 86220\n15690 80341\n8388 61832\n76980 80016\n15986 31390\n2033 39945\n10444 78730\n3706 43788\n23378 65483\n36402 40949\n3941 41171\n8119 36611\n22005 43667\n37905 72079\n8637 42531\n20822 41515\n34804 99974\n4634 99235\n10150 67057\n25394 73008\n14454 37755\n61299 70935\n68292 76336\n16206 61610\n29081 29415\n29009 36911\n86958 91632\n20913 92660\n22408 59134\n72886 74733\n3490 40107\n75847 85165\n75733 76596\n46902 91459\n42744 91182\n34065 35046\n65931 75238\n1569 62109\n32127 64255\n27799 96139\n21775 97131\n1743 40236\n36610 75213\n83385 97405\n60253 99842\n578 12754\n89993 90648\n30481 87243\n28443 76805\n62310 93714\n37922 72286\n34074 48030\n52677 60982\n25397 92323\n68352 71275\n23356 99965\n18716 26744\n87047 98949\n31422 66128\n5502 46716\n93386 96295\n4562 58378\n67690 70139\n14267 85738\n10665 75027\n23456 83910\n34771 38079\n14255 61292\n31569 99039\n32524 34516\n45700 75428\n39503 43774\n28807 63347\n15785 62646\n30153 52416\n23803 85358\n16101 58466\n49839 92230\n38718 41848\n60536 85235\n76781 87195\n27298 70853\n23529 82076\n2478 18036\n36566 40072\n734 24636\n37411 52274\n55063 94207\n9306 98557\n15509 28742\n19712 92093\n7270 21864\n50892 70900\n69155 84932\n71125 72067\n10274 17063\n48349 85667\n50222 82967\n8713 28134\n29640 55557\n37539 47040\n3350 46168\n16922 66359\n4519 6557\n9439 56921\n58801 91654\n13054 14848\n80657 86546\n67057 98990\n27596 50750\n62985 77817\n53769 85820\n30970 97785\n49324 93849\n69690 83054\n29121 85233\n10270 27321\n77780 97440\n23440 71569\n15315 98554\n37678 96417\n82652 89864\n4154 52159\n13160 30106\n82666 90465\n71723 82399\n78003 98321\n9542 84954\n32718 43521\n62821 83527\n50380 80831\n49965 59599\n57761 78849\n49201 96409\n29491 80972\n72796 78193\n54270 95286\n29438 97362\n60082 76317\n48611 96968\n24618 89267\n22054 67453\n57992 95196\n36227 44589\n26080 60651\n54332 97974\n22009 52002\n31523 90974\n63967 82577\n55007 96034\n36774 81650\n8857 63649\n43681 70894\n733 80607\n93344 94380\n7901 43254\n15664 18959\n20254 77769\n10844 63156\n56597 58638\n59975 99621\n5193 93994\n97206 99734\n493 75211\n22989 90942\n24564 41412\n22524 59023\n885 56785\n46905 62253\n76161 97343\n79687 83774\n33553 95897\n1995 57816\n50814 63151\n9819 27076\n30081 92974\n7134 11236\n5880 82413\n54597 55301\n22844 85131\n6852 44650\n46302 82022\n8695 83504\n31159 81794\n3391 15915\n49439 82417\n25508 93720\n15137 91896\n26802 60376\n35451 50214\n11456 66777\n57383 75783\n31830 89311\n38726 61501\n23689 72543\n30646 93155\n10765 96704\n2511 30789\n23365 45584\n25933 41129\n4975 67104\n9072 18319\n65837 83293\n36587 76779\n69038 91187\n49935 58633\n56675 99199\n22316 66653\n13139 33516\n31265 34265\n2416 68511\n17001 75382\n42025 86610\n74720 96593\n83553 86492\n32374 41039\n35944 79504\n78699 84708\n62291 62757\n73834 80725\n3264 40392\n15094 34184\n7089 44264\n75232 91532\n34559 54306\n28899 82050\n13811 96712\n10433 16342\n29404 46921\n27686 77432\n58434 77238\n21460 85473\n41222 73138\n3535 14539\n42115 89702\n10503 94340\n9811 50889\n3917 34947\n8734 78727\n86342 89613\n22093 99946\n69532 93453\n22467 63300\n16595 51812\n51035 70542\n28521 76524\n47508 92354\n14686 17391\n41211 59594\n55886 96381\n48728 90214\n32759 49226\n41588 60217\n70308 75042\n13634 92953\n9700 24568\n48672 50673\n20807 46821\n31203 72281\n1107 44682\n54878 77026\n92541 93638\n11908 23161\n46773 99928\n3420 88256\n30631 86205\n55597 63268\n43904 74697\n21059 47000\n2351 38705\n26484 34593\n34596 89609\n24474 31742\n11899 94553\n97387 99856\n83900 96781\n63979 64180\n8728 68456\n18336 57705\n7995 37244\n16144 19415\n5591 86684\n19875 65839\n20424 22286\n56818 78246\n41090 64868\n59714 78803\n42997 49255\n33175 52817\n22882 97509\n70494 70684\n7769 68613\n27562 40433\n36624 53864\n52004 58223\n10404 55996\n41648 93394\n4464 33086\n4001 71940\n13042 22453\n15989 72594\n24960 61923\n34761 99539\n50487 85236\n29599 61199\n29328 81292\n18706 24945\n28082 66256\n76115 81033\n1604 70434\n12931 35609\n33872 62110\n15696 22085\n48704 50921\n25228 44027\n11163 82320\n78570 82879\n13870 77577\n94830 99249\n48332 89562\n12891 72856\n10281 22103\n22364 41085\n3106 12478\n22477 90503\n31825 34000\n43074 53429\n41035 41347\n23840 96680\n11856 47685\n21250 40867\n28042 62893\n7028 28544\n54346 64751\n13541 28871\n9840 91615\n5786 44832\n52570 94606\n15804 95199\n16747 62376\n5192 9731\n57978 74382\n58085 87422\n62817 88212\n13209 41416\n47188 95256\n1105 23668\n49391 66838\n21762 63396\n81802 92429\n52841 54365\n36110 76715\n66739 73373\n67033 75684\n27757 66732\n30625 52665\n22353 42199\n5726 98902\n19765 67503\n67425 82648\n2886 26887\n94983 96217\n41263 97308\n12918 52067\n33445 74286\n58341 66589\n15611 83715\n36532 70859\n7318 27355\n76968 96273\n59832 90101\n30118 41276\n3178 72351\n41156 71950\n46327 84147\n59400 63666\n12002 33540\n86154 90081\n39838 74187\n25967 44782\n29393 36535\n67293 72286\n44272 63601\n15131 48220\n14898 78544\n2410 56903\n58372 99588\n40904 92282\n1197 79935\n4211 90317\n63223 88320\n310 84260\n17312 27881\n9539 39714\n47346 58157\n4374 40995\n2791 21308\n47385 63798\n44132 64496\n15257 84701\n71826 84109\n9651 55819\n66855 96160\n18814 39327\n25783 47314\n39837 71632\n13175 51967\n26117 55764\n21512 37116\n13880 59581\n13126 53622\n25992 75419\n23029 67878\n26257 98801\n56580 67279\n62967 89369\n30008 45198\n3475 9032\n14055 48192\n20178 73118\n35959 64100\n83675 85155\n19524 81766\n13210 63061\n71758 73851\n2817 10128\n29601 51908\n23879 51931\n35129 66986\n2893 38360\n8677 12387\n23375 42448\n29528 88042\n19092 28903\n25074 60252\n2126 9452\n69817 83279\n35401 41049\n4302 98207\n12428 15461\n69 18712\n29466 40420\n50193 60327\n8798 61677\n52718 88355\n74962 96472\n52382 52840\n20887 55863\n63701 93703\n37689 67915\n59161 92746\n10789 22204\n4311 30338\n28302 64517\n24082 91295\n55728 89018\n11206 62209\n41798 59523\n29718 87267\n30982 82020\n44053 69357\n48049 65537\n35414 81571\n76547 82749\n30583 91743\n72578 86561\n8572 87273\n77930 88981\n69328 98871\n33604 76356\n33033 59852\n24683 41682\n21641 70398\n22439 25060\n77781 95802\n8450 34605\n4576 45256\n67991 96408\n32725 94528\n19777 26259\n13040 38343\n38864 89682\n26629 85971\n40175 90110\n24399 46080\n35041 84474\n49557 58224\n53690 85528\n20878 51239\n68761 84863\n12204 95438\n6973 8615\n46035 57692\n10462 45972\n14836 79345\n9418 86298\n17360 84140\n42706 58502\n25567 95920\n65663 80538\n15429 46659\n7713 25828\n80675 96771\n13628 40828\n22350 63764\n36942 53436\n9121 84625\n42132 63996\n2053 64985\n39755 73576\n5193 20106\n21010 91705\n33359 98465\n67010 75719\n35360 53750\n19940 41657\n24455 74229\n22115 36229\n3690 26321\n73761 93802\n33533 50896\n41755 88520\n26254 66707\n34257 51037\n6966 25794\n4637 68813\n3884 85913\n76021 81303\n32316 82887\n58203 59644\n14929 44412\n31609 97831\n10996 53610\n13435 82715\n26907 67220\n43727 45365\n19176 38498\n6257 69545\n65730 76631\n4911 80929\n6718 35384\n9206 21248\n34995 53132\n84845 89328\n37578 48449\n57932 73950\n5330 21733\n61632 66717\n32142 60827\n45876 50638\n14906 24435\n3054 42262\n18878 99151\n3693 47447\n54873 56043\n52653 70451\n53595 98165\n3832 26553\n23474 83164\n1676 80155\n27485 67475\n35584 57660\n77906 89433\n42401 98848\n10013 35045\n54541 60228\n42878 99111\n65672 90155\n50026 86821\n59213 64863\n6273 54542\n59370 79464\n89852 94701\n27302 59001\n38754 98696\n9989 77169\n39246 65464\n36113 80417\n1041 13814\n36738 78105\n32022 91527\n30486 56915\n39210 62204\n14742 88470\n33172 38093\n21614 48179\n58718 59890\n6234 74444\n44024 61762\n57660 67176\n1677 68742\n62487 76299\n10327 79412\n26851 81888\n38820 92148\n21478 28234\n18322 95816\n7249 71569\n43440 72823\n89928 98874\n7979 78793\n820 43896\n31877 70765\n36488 58281\n40396 77690\n63207 92827\n23842 90014\n4894 6661\n45686 56669\n50393 78066\n13125 79915\n55237 57391\n63196 72854\n69949 82812\n62973 96914\n35951 81581\n6825 85348\n74839 89576\n521 79111\n38898 72049\n72862 76455\n15351 65211\n63458 77589\n3806 33547\n52545 64455\n44504 99054\n5767 35421\n39739 49901\n53168 93858\n25100 36026\n36035 93236\n73869 85292\n9526 33905\n4741 35704\n10271 82315\n1325 87289\n67259 93751\n65691 67798\n31673 76764\n78524 88620\n40295 92083\n4118 89499\n6830 43947\n47666 61479\n64461 78398\n70381 86935\n9282 84690\n75360 80867\n3993 95824\n4996 26256\n23441 68382\n14681 48743\n49977 68071\n54338 61468\n64232 90748\n9257 38606\n4480 81211\n69113 78040\n43855 58568\n1822 71582\n33437 91107\n46523 57242\n25215 54100\n17512 47962\n12235 77778\n4202 51530\n23466 74554\n41106 49942\n82284 90184\n10817 32417\n8242 23649\n8513 29980\n16440 29861\n71594 80947\n54644 66102\n3535 83368\n41696 96177\n59558 72723\n32384 91715\n30538 72673\n15644 82756\n6712 51462\n69827 98675\n14793 25128\n36802 90159\n42026 78238\n33420 76497\n41376 67078\n15793 67923\n70498 80429\n42536 44637\n42507 62853\n52105 96630\n11662 85732\n37448 48679\n18315 63165\n17308 47073\n6448 22288\n2228 53572\n14414 65301\n60434 94741\n8003 44803\n15852 69338\n33707 34664\n32345 38836\n30750 55015\n5615 75931\n69170 98643\n23533 45976\n25078 43633\n43475 88864\n13186 61111\n68967 89645\n9272 60008\n50735 72687\n7249 84915\n9590 13302\n9540 42005\n74768 93105\n30967 76813\n47937 60979\n74654 76004\n36895 88988\n70179 87375\n19786 35281\n15794 90928\n702 64188\n70945 75216\n83952 97446\n3223 71938\n16844 84962\n18286 46221\n38280 74338\n59603 92779\n28087 60611\n2756 64320\n32921 92988\n47017 88589\n30532 45362\n63609 82429\n70808 88399\n11382 81974\n86550 88934\n41384 51668\n8769 54720\n64666 67782\n17510 76291\n20073 75986\n95028 97728\n43014 49192\n20977 45065\n32564 58180\n58343 95946\n39950 87832\n62001 95759\n33383 95034\n16801 49182\n3621 92405\n17536 37903\n23378 36951\n43783 46340\n4513 50106\n25803 59940\n30275 79883\n24290 80274\n6763 7658\n25728 78658\n65361 72960\n21744 62651\n12307 66578\n30832 95793\n35339 68679\n7194 44180\n60268 79934\n19298 27612\n60388 75393\n18658 66783\n23739 34394\n3503 39769\n18643 24072\n54367 59671\n47060 85912\n729 20366\n26927 42790\n37502 61790\n56294 89920\n41132 64729\n69036 76355\n83155 96928\n1478 12566\n8022 89204\n2189 35410\n83679 94720\n19219 57556\n13106 22620\n56003 88119\n76439 82546\n8209 44223\n2478 22053\n6287 42912\n42940 97658\n92475 97303\n34163 64412\n64529 92316\n22520 25146\n12677 95148\n71338 77467\n22635 67757\n29243 69159\n57061 82285\n40903 54862\n46535 63000\n1530 57956\n69150 72155\n94559 94753\n36006 52305\n59219 80282\n51251 58989\n63637 92174\n24355 57565\n42375 53128\n3935 10228\n42151 62115\n11914 54196\n37329 96670\n55588 69914\n38118 51881\n41283 77554\n61328 67752\n62807 72739\n41611 65851\n29598 62669\n70586 72419\n6718 61366\n6234 55648\n17666 70542\n66997 90067\n29549 42749\n10842 39579\n67256 92184\n23031 48984\n3142 49479\n76658 89966\n19194 91353\n28752 58785\n56404 63988\n50991 83276\n35722 98089\n15436 17798\n10326 83576\n7790 56521\n70116 85364\n12777 63739\n18294 25169\n13173 61534\n59396 71376\n1283 32908\n9706 63438\n75601 98714\n2962 26632\n50659 75822\n39016 95722\n52189 84044\n25244 69498\n15839 23489\n19626 61331\n12661 26379\n8151 92752\n60737 68639\n21327 37050\n45524 73154\n52530 92401\n1786 35693\n23071 58206\n84742 91180\n55436 87303\n49485 56565\n9260 40094\n26065 53331\n64414 73256\n31533 92189\n40170 57278\n14480 89486\n26981 50397\n74277 79018\n31191 69562\n30066 91763\n57535 93531\n54976 69408\n30973 72201\n10630 98996\n27326 31475\n7025 50547\n6472 99334\n42139 69449\n3489 93975\n28724 31436\n37904 65960\n29317 86208\n56188 98866\n40183 92382\n39046 68796\n61904 69010\n40250 71142\n6012 19000\n58636 73308\n3247 69591\n23306 34901\n9053 26822\n65910 94935\n3949 77528\n689 91274\n52373 86561\n3024 84320\n13790 20453\n69973 94132\n90092 94644\n13782 58415\n31775 82974\n18690 21101\n15526 59952\n15217 60229\n654 51430\n59 14049\n33868 72400\n11691 62202\n8987 63999\n33469 61400\n31422 81473\n14599 71275\n91145 96385\n20624 32108\n7694 52613\n26016 69956\n58125 74021\n8054 70500\n27982 85336\n17382 98519\n14343 69116\n54716 60221\n65160 69523\n65421 96224\n41147 71502\n36925 98944\n47142 53948\n32670 62710\n69500 93842\n26549 65866\n32958 83346\n5956 63304\n38524 78130\n82195 84556\n9 29828\n34144 50707\n25464 44989\n54281 64551\n341 13747\n30506 46135\n31184 87548\n31292 51064\n59204 61176\n19532 20268\n17603 76063\n22100 75629\n1098 11837\n16793 70272\n17102 30723\n2890 40466\n38600 71598\n66210 91194\n35700 47818\n70342 97936\n55952 56968\n41107 55273\n8349 85560\n6668 80804\n81140 92786\n86746 95383\n45781 81565\n32348 46277\n4929 51496\n27983 86900\n26567 69236\n38917 80178\n9885 32244\n33258 48436\n2356 49174\n71227 85563\n24194 67868\n80886 93233\n45266 99558\n56750 78021\n54811 66174\n13206 56803\n20662 64112\n46311 82967\n80708 93531\n61531 74233\n10730 73632\n17950 71058\n17735 42530\n28623 42619\n81146 93739\n13199 26451\n13846 18870\n23995 34302\n23290 68139\n21767 79955\n45698 56796\n2958 24851\n2634 58856\n76481 88223\n16549 45589\n2959 42338\n17480 84219\n38432 46661\n78598 78921\n5900 78979\n727 95549\n6643 87291\n79398 96733\n45442 72821\n11947 60502\n6498 52488\n5024 19577\n58963 64005\n30662 54652\n25001 31342\n40138 88128\n30335 62472\n12721 67705\n6485 73832\n15247 95936\n10318 27773\n42347 83301\n15205 76793\n10730 32719\n3439 29380\n34029 88863\n41896 59450\n22476 72753\n17660 34473\n11669 66471\n54652 63181\n29576 91478\n36500 47886\n50637 77439\n8383 57829\n52387 79270\n41324 71524\n2276 83136\n22607 64880\n28580 89415\n15599 88890\n3479 89612\n24135 65366\n65029 81828\n3987 29924\n18390 58103\n25077 33343\n14301 73033\n2131 82292\n73044 92814\n5091 45082\n2491 78395\n23044 87561\n11643 65495\n37097 49385\n75378 84714\n35382 94928\n3243 78916\n13576 64471\n37097 72548\n27468 81684\n67212 91209\n17942 19025\n20238 52743\n3544 50037\n81254 82893\n20658 37166\n23626 37846\n27072 77186\n50275 82379\n53203 74627\n48317 76150\n27802 43498\n51660 82108\n6010 83031\n12596 57626\n3219 69647\n3228 88521\n13535 18461\n31879 58667\n51400 90318\n69403 70646\n25294 73722\n17895 42737\n11967 19776\n65599 84545\n26182 43938\n10363 51405\n9205 34697\n10656 63746\n3727 39515\n51931 66064\n69316 72749\n64087 81918\n14536 33872\n7341 58502\n80895 90417\n18468 68612\n16819 62696\n21193 37448\n21181 66063\n2100 36783\n30229 60780\n29863 42006\n66534 98556\n27096 32622\n60382 87633\n44449 93483\n16638 44105\n8599 25553\n12382 94208\n41980 94686\n1619 98099\n15080 93406\n89086 90621\n79606 81153\n57584 72198\n6050 40382\n16467 96996\n22774 86953\n93563 94790\n18577 39615\n18160 20174\n3095 20119\n11367 95418\n10116 36474\n85542 91378\n93552 94247\n46384 46402\n85984 94028\n26593 60950\n3432 27910\n55459 83076\n15990 98664\n9590 66189\n82896 99803\n13370 89362\n13022 38728\n55410 61173\n5541 99697\n23605 75751\n18260 94785\n48385 77714\n12853 52653\n22354 25566\n12944 31012\n599 30381\n81243 92455\n20080 90448\n73579 93657\n5992 99470\n53059 56058\n30878 48199\n34472 58560\n84185 85390\n53233 90980\n64685 84002\n71905 94402\n86827 92664\n67466 91444\n18809 29098\n29826 99193\n10120 40970\n49736 59411\n51290 57636\n79873 86367\n28757 53748\n5403 31612\n30007 39202\n2248 63483\n11452 76586\n5359 45636\n30851 58209\n47141 84075\n27627 42771\n15181 50491\n18225 22187\n42569 82825\n40664 89007\n7466 12977\n34763 83109\n60005 70126\n1902 59679\n24021 64900\n56735 77127\n24591 40480\n86676 92684\n12697 78142\n5952 13876\n8239 51443\n23987 57047\n47638 76694\n10009 70833\n39323 40469\n54850 68614\n23338 54262\n2063 35220\n53193 93263\n18767 48231\n20242 24132\n62498 74983\n35853 71285\n7102 25640\n27878 37647\n27208 63708\n59882 68208\n15655 27123\n22992 36593\n51393 59245\n31414 40686\n29989 50325\n15348 85575\n64842 96354\n79689 81161\n50302 59762\n16157 63061\n41168 43504\n54241 90336\n77152 96611\n68694 78053\n28381 59245\n37662 46083\n60539 72649\n24569 39747\n64902 85264\n23471 85844\n74053 97045\n25087 91638\n28017 57416\n28775 85099\n17985 96557\n12634 79908\n52433 66817\n34905 54459\n70414 84200\n8335 23616\n26077 26610\n39090 82315\n19486 39347\n75445 94344\n41858 70232\n12976 21783\n26183 92807\n48373 58738\n21987 52673\n4202 54450\n2328 46836\n9978 14899\n17226 30610\n24424 65348\n12862 66433\n49325 56756\n42219 44301\n23116 81944\n3824 60512\n33099 88488\n71093 92325\n69316 76005\n16521 66423\n47375 78871\n69784 74949\n12261 77592\n23455 52515\n54412 92186\n70664 79434\n20882 83998\n6840 41717\n9995 83074\n6337 39587\n53108 85248\n54257 68474\n48004 48580\n60243 99181\n87416 98081\n5201 16774\n47395 93390\n22232 65914\n18158 72079\n24118 34678\n43928 61167\n3532 52952\n62904 94900\n6459 15239\n19927 25692\n39523 41180\n22556 46104\n64008 79760\n15828 30479\n26150 42107\n49768 52188\n29364 60174\n39754 82897\n19174 26479\n41083 97061\n18521 26316\n67704 79492\n48210 78322\n2790 91387\n46442 98243\n18591 91799\n28033 88334\n53312 89864\n87047 92541\n24729 96572\n38295 99441\n33138 92334\n20689 69968\n11691 55008\n10222 98798\n21243 62949\n68297 94226\n30377 88631\n76625 88742\n11911 36807\n23400 81535\n13067 99119\n4317 7292\n34389 95158\n71450 88244\n29772 88657\n38685 70021\n16206 97275\n37542 74779\n24548 99159\n25410 96237\n12144 94341\n30849 92904\n45231 84734\n63573 67261\n96709 98257\n60873 90507\n27194 36029\n33107 69118\n50633 75590\n51336 92963\n19688 53026\n67179 80982\n54697 73778\n2856 96705\n15370 65130\n6612 62888\n28894 52575\n21300 45246\n6851 92146\n35086 66402\n10686 52410\n59126 71668\n8216 8514\n16983 98212\n24558 86919\n69586 95029\n61592 91882\n86783 98451\n79333 89572\n17731 20472\n12728 89437\n65346 82861\n37304 65745\n4549 40432\n80797 81529\n58560 62852\n32713 41870\n8326 30322\n83538 87158\n260 9520\n52731 91551\n1145 87297\n21709 87514\n34977 43758\n5544 75468\n3530 87670\n4959 84661\n26425 93364\n23763 55370\n13838 18257\n51467 90230\n3884 40980\n63508 84109\n57414 92164\n84736 85526\n9647 24916\n10926 61696\n15818 32567\n6480 16424\n60975 69496\n45511 54742\n57001 99894\n36004 82977\n42352 48941\n86767 97866\n6357 26651\n60858 66202\n28778 87415\n40518 88937\n83769 96806\n54599 80317\n22142 59120\n78035 87412\n79449 95856\n1790 47767\n56338 91135\n42177 69470\n25624 53898\n34498 75823\n178 87374\n31352 40417\n53908 84147\n59118 69292\n9226 24512\n80589 83794\n25344 48093\n73288 78169\n83239 85398\n33350 88096\n31601 37379\n9987 33322\n3245 52359\n57400 92051\n4647 44544\n2900 71050\n12977 38507\n70242 92939\n8682 91539\n60981 80884\n71912 82748\n34089 66634\n15150 73174\n49214 99735\n62493 64583\n24162 58784\n19976 62861\n58295 88671\n18136 51965\n62678 88800\n55424 95501\n12707 32101\n9602 41451\n73855 99019\n83963 92261\n49589 97425\n11002 25632\n18972 97853\n9725 45404\n25698 67814\n47333 59460\n495 76899\n1860 46241\n54705 70703\n3463 7068\n24027 65347\n56395 72983\n28259 81093\n53314 98048\n19815 75517\n1868 94174\n51271 71603\n19630 76108\n29632 42380\n20426 63690\n51241 82333\n51333 72386\n49989 63894\n25224 93455\n32787 36199\n3446 30223\n16092 90636\n25457 33321\n11844 89624\n50839 58040\n16195 42516\n38836 60260\n2655 88639\n28801 61319\n65975 68865\n36907 57894\n11068 14791\n23191 31582\n21951 45894\n50200 88943\n9142 67127\n12833 88221\n32609 98540\n1875 9248\n31232 76184\n37714 74110\n12748 73157\n46641 94105\n19023 62811\n6547 99666\n22204 59046\n67137 89117\n10480 47541\n8865 58187\n32366 54425\n48115 56228\n3896 22244\n16251 85466\n37897 89425\n40163 60440\n24380 71231\n45597 97217\n31829 72309\n1702 92912\n45655 69195\n44484 93530\n24778 72147\n40948 94121\n80725 98112\n41122 84888\n28964 89411\n598 18597\n59590 94769\n20084 92214\n58995 63037\n85497 98160\n33866 39809\n60922 80090\n15159 35002\n54768 96638\n36963 86996\n29206 49055\n38912 69378\n66224 83543\n14582 51409\n45345 99617\n8429 19681\n9199 88481\n31560 41999\n47942 85069\n13501 19594\n25805 99380\n62457 88449\n16018 32713\n596 87441\n32889 73884\n7372 70248\n81740 91641\n22328 78394\n55266 66285\n43272 89959\n77099 90662\n11446 50403\n5961 94059\n66087 72217\n77966 79089\n39665 94677\n56857 94794\n31794 87229\n52571 91628\n7438 82444\n8878 81577\n33228 42475\n14813 25427\n47313 59577\n46219 61731\n73592 85124\n75246 94417\n53659 66397\n11864 28198\n54481 86901\n1405 8731\n131 2342\n440 63372\n15488 77754\n7818 39564\n90228 96792\n21475 81573\n11017 82346\n43375 90558\n53866 91983\n35316 53721\n33193 77619\n79947 86998\n64948 95473\n43070 75276\n58283 83117\n34766 90772\n5732 28210\n1090 37470\n1210 1669\n30251 72084\n52162 73051\n37750 59681\n34796 81765\n9765 26460\n17128 97490\n52251 83753\n42609 73482\n40556 66816\n47368 75460\n37279 58464\n5050 61295\n34143 70918\n27140 85064\n57263 57583\n69040 89126\n17421 98482\n10094 72111\n53216 62051\n23166 48173\n69782 82400\n42993 55683\n25206 71152\n5621 27928\n25679 29416\n36488 55021\n65386 75891\n33448 66488\n52489 80319\n41478 73438\n79752 83262\n31117 99767\n21638 70152\n35726 75793\n24170 97464\n35468 64671\n32680 99911\n65767 86954\n44975 97857\n84936 96490\n30048 94143\n21866 26551\n56712 90275\n72831 88239\n28514 73479\n58931 86790\n24826 43012\n68717 95417\n76071 89260\n4895 20948\n21053 88073\n12783 25452\n26273 41092\n44208 85847\n41513 71173\n15914 46687\n90196 98185\n19468 90840\n6466 9677\n4720 45169\n2674 82010\n15671 59005\n38614 84583\n2757 41971\n19833 96351\n30033 53572\n33137 95271\n44661 77055\n6947 84996\n27238 27434\n45260 77515\n5467 89637\n44778 80349\n76939 87693\n34328 66617\n82596 91809\n22681 98546\n554 21348\n51215 88146\n69495 98348\n16857 25153\n19730 85762\n19550 39269\n7841 18060\n13756 24228\n97703 99230\n57826 79988\n5143 97346\n69953 76796\n16194 61604\n12128 46324\n480 49197\n11282 48716\n86138 97301\n78857 90884\n946 67736\n55949 71673\n7984 83226\n21755 49469\n25695 73112\n59455 95893\n38862 47250\n30411 97176\n5379 77503\n12385 62545\n67885 83520\n8354 27822\n97403 98905\n15081 50960\n76486 93554\n32559 59227\n21626 59310\n82863 82985\n79701 86047\n13206 62858\n41596 90371\n6182 72686\n10612 78351\n23099 63521\n29876 93008\n56015 72514\n33414 87031\n21476 42210\n52280 69941\n76760 98202\n24181 26198\n8872 64737\n17121 37950\n31033 98200\n68894 80119\n20145 92720\n37113 98714\n7480 82793\n21276 35622\n69098 98861\n55540 60792\n52448 98875\n57040 63016\n29012 99175\n24747 69853\n1487 82596\n14991 25193\n22663 25927\n29092 72715\n20210 31082\n71285 97254\n61964 76851\n16570 80547\n27085 49270\n10622 37718\n6226 42945\n14141 82875\n10187 65044\n41529 95792\n65180 69248\n6513 32038\n82750 85341\n53242 86240\n199 76571\n58523 96703\n22283 55151\n39563 43071\n35016 80707\n62227 64641\n15774 91399\n5743 75130\n45958 96116\n44253 50939\n52116 75662\n60141 79364\n19021 33109\n50225 68717\n66580 92969\n26887 96887\n10601 96036\n31622 84502\n28589 43425\n60347 79748\n21804 49565\n11363 31799\n45856 77345\n51515 82279\n14060 65320\n30522 40061\n6627 45054\n33890 73678\n8795 93648\n24575 90129\n53514 95892\n17158 83481\n3909 7952\n17221 46107\n32679 78698\n25126 42703\n52326 62784\n43530 70413\n1757 64936\n9147 43333\n82866 88293\n92939 95510\n64110 75203\n19461 60793\n22820 69128\n42616 80943\n55686 87724\n67424 89659\n68713 96305\n74674 89901\n14697 63717\n37757 78066\n3530 54254\n6370 85487\n66808 85710\n59561 71925\n7542 53828\n82875 93721\n85530 95473\n32929 51497\n63799 77682\n46219 56946\n61744 85585\n73401 95304\n62292 92007\n80162 88363\n55374 87156\n16477 36253\n54000 67697\n72941 89700\n56211 68197\n55216 60201\n15890 27630\n33520 58014\n7908 33591\n30552 92581\n2893 68686\n49592 76498\n57382 82532\n34872 89341\n13448 22236\n54020 54778\n60484 68176\n36891 46536\n2472 20966\n6017 82554\n3441 70771\n11805 52209\n24867 50419\n14656 54175\n55630 78699\n35184 69248\n69309 78527\n41848 81325\n2908 13961\n16216 65323\n9963 36061\n9018 84620\n27958 40785\n42541 73810\n245 53460\n16878 65920\n58681 65056\n12367 63421\n20963 67625\n11295 27198\n18188 52991\n53301 70020\n64954 89067\n46047 96464\n44526 58550\n9432 93187\n36296 71961\n52162 80963\n26864 42018\n2381 59057\n13126 27794\n6844 39744\n26387 46007\n7444 13519\n22662 31051\n53601 81799\n32036 48012\n25831 72614\n3333 48605\n20694 88415\n70766 82878\n15825 33271\n24251 64447\n16953 72108\n1983 90824\n5808 35692\n37106 96708\n23943 44141\n71512 88881\n39307 65528\n17370 86190\n13953 15590\n55926 74574\n9384 70719\n33104 93089\n31392 75619\n54396 69479\n91 82944\n35126 97208\n39974 43923\n53480 61972\n42588 95399\n41288 61417\n37767 97971\n56806 73434\n20991 74375\n14666 72115\n24035 72532\n9115 46860\n37011 59849\n64844 94499\n12300 59714\n10052 60897\n35495 63651\n32670 69419\n23384 96697\n3287 74053\n19327 84929\n62350 67394\n9658 48634\n46267 68305\n2174 97202\n80127 96748\n61307 85825\n86593 93071\n1888 16287\n17063 59273\n4650 44309\n21858 76305\n37434 61814\n59041 72472\n59696 81681\n36555 91532\n7357 66049\n26535 28413\n27956 35704\n7851 49259\n10872 94078\n66882 85147\n51548 87865\n31394 35655\n32257 78649\n53754 64698\n39919 70747\n68242 71971\n41700 65218\n50188 70573\n794 80425\n17003 86929\n15674 62145\n9121 41288\n14257 91746\n12869 90034\n8946 9214\n23742 91933\n8631 49828\n12769 94688\n40091 85692\n52516 96899\n59249 70965\n35082 76817\n9063 86758\n82499 95271\n58337 91139\n8882 58647\n44332 55883\n54436 72473\n87338 93576\n20173 25351\n62175 87296\n45450 68265\n17334 69479\n6181 43764\n1391 39873\n27541 78170\n24836 54237\n18532 26261\n25 46665\n16732 35845\n69252 86972\n13142 62559\n10424 26820\n1677 30734\n11160 29834\n40992 81077\n11333 28604\n21488 48277\n68157 99422\n44991 75127\n11636 88489\n52200 72439\n76078 76782\n8080 79336\n12298 13714\n21769 36367\n38297 83725\n20148 65096\n11928 74506\n23912 86475\n1329 96463\n35325 63110\n8995 82102\n12837 17307\n5439 28351\n16271 31348\n16926 68582\n38400 64577\n69216 83060\n69639 80805\n4160 47776\n13819 72211\n38557 66522\n28356 60825\n68879 97297\n80705 90609\n41608 49855\n34119 76460\n56179 91869\n46963 80834\n27488 76378\n61088 62641\n9597 35992\n58563 94078\n22373 25388\n19148 63277\n67112 88474\n70945 98890\n35966 91395\n46594 68161\n45092 59729\n19369 25206\n73467 83941\n16648 75661\n50022 69993\n67936 77909\n2362 80351\n47589 76749\n21394 80871\n16668 69750\n44843 54476\n60605 96381\n62595 63800\n37287 90516\n11351 97453\n10680 91155\n11170 31735\n6971 46511\n28578 85605\n55075 83725\n51519 97144\n56343 95043\n29794 78091\n14939 85179\n10582 61397\n13708 65312\n7664 27702\n98433 99464\n58858 73579\n74069 74732\n31219 41790\n41878 74230\n6860 47040\n12439 41101\n11449 52814\n11393 93908\n2787 17710\n2577 42587\n19342 50922\n50199 95802\n22418 65182\n18085 38701\n9075 75173\n29114 35987\n25048 75688\n23248 89580\n56285 93739\n14937 57739\n72867 95928\n5807 72780\n29668 64860\n28512 75161\n57851 87959\n42276 66393\n11522 54586\n71728 89156\n5335 33630\n65393 87768\n41004 68711\n28876 77650\n18551 67501\n2191 43899\n29620 34293\n16244 83096\n41329 44337\n14825 32512\n863 59933\n51258 94288\n59627 90696\n89213 94228\n19464 38242\n13031 24036\n60118 69481\n34198 99339\n18581 85107\n38623 54527\n31178 74022\n14064 28293\n33336 64013\n14935 69606\n68669 77093\n3413 50734\n14721 94062\n29734 32603\n27116 77906\n47943 66572\n6311 38716\n5006 10534\n28478 60135\n31465 34185\n47392 60347\n28333 63600\n26670 55670\n64988 86087\n15164 64467\n9941 69097\n53640 53806\n5576 71046\n9872 70321\n8233 33876\n21665 30491\n88257 99842\n34703 41621\n38270 97819\n17767 71620\n41456 66110\n11922 95251\n8928 90415\n13137 35696\n35801 62468\n52369 86508\n5017 79936\n82096 98110\n37174 56346\n6526 74555\n1690 68496\n60171 75899\n9958 22139\n47065 65109\n30477 38502\n95049 98590\n67281 98995\n16240 26404\n18399 99407\n10329 11101\n1670 42905\n85205 94569\n26121 66726\n40230 41153\n52459 66967\n12639 91963\n4875 36175\n10974 80810\n39371 93082\n26807 66448\n35857 78228\n43546 48969\n49624 66441\n49353 69806\n59807 94956\n32401 93844\n60212 70154\n17134 95734\n75181 96353\n41550 55289\n8859 78781\n42174 60643\n7148 99667\n13268 42035\n67439 84016\n587 78193\n4758 29641\n47629 56285\n23445 40605\n24874 58754\n22301 35155\n9985 18405\n63972 65931\n7946 31742\n71314 81908\n16554 50305\n20987 75544\n83220 98631\n46337 80434\n23292 33764\n2105 97579\n11406 47260\n14559 51885\n45982 96489\n1397 47523\n8259 25713\n27858 42392\n41149 74326\n8582 29844\n48636 98937\n20769 28374\n41442 79619\n28518 58778\n14621 78130\n28343 42001\n40849 89707\n43386 88401\n44684 96775\n17279 64875\n20156 92609\n71324 93926\n5496 63790\n43094 79793\n71376 90497\n97128 98440\n12007 43448\n47752 73522\n525 84786\n12878 94183\n3372 56615\n10723 71309\n73842 91485\n42664 97926\n50520 92339\n71792 86016\n72705 75182\n1685 66482\n16339 47224\n20048 82333\n24425 95292\n2139 5990\n83582 90403\n84552 91419\n32242 99046\n9237 31986\n17834 29218\n31960 72374\n23682 36786\n50882 55793\n35065 94080\n79834 87309\n80302 89356\n57781 64225\n36945 92068\n10732 80804\n60157 61184\n3560 17602\n29935 48439\n61541 62188\n23962 36690\n47912 73795\n49208 92617\n25278 92535\n6482 33884\n98692 98998\n45950 99543\n56036 80627\n54343 57655\n16416 53155\n32113 83293\n28439 69319\n9764 19141\n81308 94611\n15914 20180\n43551 48698\n68358 68431\n7049 65817\n26003 44114\n22866 60278\n35822 75296\n24325 49497\n58011 68588\n10196 12750\n19000 99399\n48557 86121\n91457 96424\n46971 86049\n48068 55215\n1688 92942\n57402 80382\n23957 80208\n42663 83325\n23690 55695\n37374 70564\n914 54626\n75639 85207\n4084 64063\n70356 87513\n26554 98232\n31451 93416\n21840 90457\n53372 94883\n11395 26941\n22342 77766\n49890 73801\n53167 74916\n16842 65778\n3100 82400\n12855 28809\n1682 89167\n63552 84414\n51773 80865\n43685 90449\n13013 45190\n42291 53441\n10048 35599\n30012 59716\n57682 59715\n18405 61671\n54577 99787\n16703 81945\n42510 56180\n35957 58983\n21728 40331\n48304 89661\n15805 38323\n12408 89145\n40145 87297\n49934 50903\n12566 46771\n8349 99815\n4390 19123\n12173 22890\n68827 77620\n29120 47291\n87713 94977\n19001 81555\n16063 43532\n88484 90977\n25507 65200\n50438 76548\n41077 96910\n8469 81061\n44922 61284\n43753 76179\n84973 97048\n23945 84050\n45438 59563\n57036 99105\n16683 46017\n66961 71750\n63029 97849\n18572 77561\n19277 24520\n60305 93310\n13145 91045\n17714 60063\n32027 39149\n13121 77520\n77442 82621\n80036 96235\n42265 86647\n136 17298\n70796 90607\n49641 73632\n23018 50203\n26349 97515\n41309 74035\n28828 38458\n54684 56120\n13125 57039\n29942 98960\n26689 93344\n45873 75819\n42154 57269\n7845 53662\n27696 39765\n12983 33285\n10705 93725\n32520 80298\n7855 79265\n25962 67668\n34969 98582\n10573 51331\n36093 50791\n49620 55085\n40284 51117\n33776 68169\n18613 47893\n6089 60274\n58104 88519\n46503 86729\n39166 96484\n31475 60870\n27108 79524\n68422 74101\n29152 69280\n89041 93185\n26283 69548\n5384 47725\n26891 84686\n82903 87501\n36663 97089\n48333 88639\n38786 53742\n14004 57076\n22637 65736\n50371 96934\n88574 89405\n7300 74711\n36986 41717\n10999 52374\n15449 33138\n1347 4061\n12415 30755\n26644 27252\n19923 48139\n32514 88302\n18085 18570\n39344 49895\n52540 98714\n60189 69508\n15935 35283\n17345 46590\n26432 44449\n4377 73439\n2411 87548\n18813 71862\n16182 56932\n79701 81475\n8273 47064\n3716 9980\n19098 97682\n38260 40810\n75119 84448\n24481 73097\n26372 97984\n21498 64259\n6868 68451\n51361 72349\n26263 86506\n24706 79627\n4452 86050\n4786 6633\n32086 63973\n8703 22994\n55704 86323\n18557 83216\n31990 69048\n9756 56885\n18402 83206\n54723 63940\n2279 59902\n2945 27399\n34029 59526\n50678 93057\n46588 67028\n79068 94247\n1088 80835\n55587 77010\n51152 87338\n45225 98126\n41027 41395\n9038 46005\n62519 99277\n15199 18215\n7109 89326\n33779 72935\n40397 52708\n3630 73393\n16816 56110\n53723 92252\n35748 50156\n9008 11086\n13069 33099\n2456 89382\n29790 78770\n58648 79574\n25994 58218\n2879 12584\n19431 70883\n58626 69162\n2946 96221\n68445 94554\n2455 24598\n27746 44051\n13332 56369\n27160 92741\n122 4345\n48771 58983\n39570 91673\n69413 77864\n74743 83459\n19443 78207\n13267 50592\n13682 62949\n46280 98459\n94458 97145\n37796 70489\n26501 34189\n3285 39690\n19120 31312\n49554 74625\n59973 75969\n32801 34094\n2053 97494\n61679 94883\n982 59427\n72339 82051\n19721 45215\n79012 87873\n49654 83453\n29950 37870\n18776 78103\n34997 92103\n14415 58054\n81334 88097\n9233 22139\n50603 68823\n1298 11718\n55764 87682\n17852 79390\n5187 62191\n3278 22804\n25628 87777\n49422 86515\n11258 52215\n65446 88760\n7294 63886\n31858 93329\n84284 85041\n17345 96196\n25739 31953\n27837 67856\n1904 54961\n9625 33854\n52514 86163\n71535 79439\n81909 99614\n45395 90297\n71408 96861\n23800 70578\n91113 91883\n61050 86334\n43701 92035\n50636 80990\n89170 95724\n3294 13826\n55588 67570\n42528 65146\n92445 92462\n4758 41483\n62990 89420\n30459 55650\n15018 76804\n21984 73317\n56219 69517\n5730 19790\n74240 87342\n40528 77445\n4769 88023\n9103 59862\n45550 53361\n25445 45061\n1248 99568\n72322 84971\n16311 72421\n19717 61755\n44927 66799\n13438 17740\n58778 62088\n46512 63394\n45157 56111\n42686 80130\n8058 66186\n36155 95929\n19342 60934\n22489 71835\n25252 26030\n13514 66963\n92649 99893\n19420 99106\n68741 75888\n75495 99857\n13116 15652\n73765 83054\n32386 65042\n25069 61207\n67319 84636\n28128 86307\n13809 42785\n30945 47493\n935 69019\n40360 72454\n33085 79681\n66035 89986\n28734 70070\n2462 60049\n61735 99754\n17031 65556\n39887 62542\n33339 82873\n69247 80567\n4045 79344\n17861 33831\n37565 46818\n17813 58718\n2876 92258\n64719 99180\n4853 35109\n54179 71970\n62621 79360\n40752 67706\n23680 94194\n33035 44750\n10546 57888\n34383 51625\n38366 79379\n45999 90853\n40174 40356\n16366 64109\n46269 87695\n8054 11373\n78547 81748\n25407 77579\n16764 86586\n55894 75660\n69792 75600\n3614 76692\n11605 92056\n4858 77868\n9594 45759\n9584 44609\n86553 91847\n41139 49830\n67060 97123\n4526 99767\n731 20992\n84487 97144\n74573 90708\n40122 82728\n44829 80703\n54713 62613\n5896 50635\n10617 37114\n2124 47302\n3237 40267\n43275 99435\n28208 88871\n2964 54640\n43751 94134\n23131 39715\n5229 54651\n7647 17931\n42661 56339\n40372 94022\n1735 52661\n55162 82931\n19486 99704\n2155 64857\n49475 54661\n5163 59908\n16477 44551\n5078 73774\n31524 71348\n44945 55647\n28216 74061\n14065 90264\n26272 98363\n69144 78995\n76349 93833\n5257 8032\n16437 82132\n37696 92824\n62937 65538\n56607 88203\n20605 93249\n16743 53738\n85424 89074\n60559 75864\n28432 67449\n11158 73195\n6747 17985\n45566 81131\n26148 55860\n34418 72990\n72253 90893\n57919 72979\n13326 72146\n59458 67834\n28175 63881\n51718 54958\n22484 46425\n21472 68619\n3836 44895\n66151 81525\n37505 60990\n5004 92261\n21536 97279\n42078 60441\n4088 68038\n72386 80451\n40271 72426\n37281 77694\n23776 37687\n5662 55921\n27416 57409\n27530 92889\n53368 65738\n10131 50473\n71467 78584\n60971 72530\n61699 76756\n18562 39836\n71562 99228\n77480 85051\n33128 37404\n27495 86236\n44431 83749\n20012 50261\n44880 60351\n44436 83723\n50215 57493\n39138 87626\n22220 63886\n30794 80300\n57804 60383\n19658 30786\n24643 67917\n30775 66841\n64750 68808\n62201 84829\n6782 79511\n11906 19702\n68645 96915\n10973 75786\n24719 78279\n18073 71137\n20164 80626\n2845 96037\n11477 72498\n1878 5496\n36111 97283\n21340 79478\n157 60616\n8270 14389\n28762 69930\n1706 87197\n11995 57597\n42196 52510\n3973 73052\n77255 94429\n16705 42419\n18924 54059\n9842 62731\n253 66684\n64700 87503\n3513 37712\n4308 74080\n1951 60066\n6446 42157\n18903 80168\n902 5470\n291 98524\n36650 94738\n3426 47795\n44237 60480\n43948 45216\n14668 40976\n11303 22106\n17001 56653\n10088 94366\n22485 91976\n15541 31731\n32714 82672\n43787 90576\n78631 98157\n39210 57393\n28570 72733\n51007 52009\n817 89617\n23350 96083\n39406 50946\n20518 90561\n8675 35921\n6934 78317\n66619 70336\n6074 27310\n27335 73399\n36518 50607\n58322 93218\n2115 97385\n44849 49925\n10907 18675\n46084 73051\n28401 61763\n17777 62282\n13265 52686\n25923 66001\n45042 89664\n6527 15437\n39982 64162\n30493 76920\n11510 38633\n13744 98239\n37634 69559\n42685 43213\n48835 75986\n1078 82005\n18028 51321\n35263 71564\n33877 81447\n83065 90248\n5899 29959\n42480 83487\n17737 56817\n10735 89520\n5162 49710\n20103 70560\n11988 50187\n73963 98528\n61470 93602\n20329 72433\n34071 47127\n74479 97019\n58581 70585\n2873 71722\n20102 36788\n75890 96573\n63840 90927\n53752 96789\n63574 98921\n25016 45024\n26242 98650\n42493 89913\n20830 99685\n44427 59710\n2377 81616\n7444 74824\n57872 86288\n40752 89165\n38870 93575\n23696 89251\n36656 45135\n50304 66686\n71065 78518\n15920 57439\n3291 20263\n21649 97748\n20596 47687\n1809 84912\n52975 64275\n17646 47220\n36911 39991\n34064 42508\n51442 70102\n1834 95553\n53692 74204\n63219 89556\n38700 65224\n54830 65134\n36274 71325\n9335 35278\n3067 13831\n67325 98612\n11762 17892\n5973 29756\n25467 54364\n47584 55642\n5418 57147\n40892 95147\n13668 76449\n24507 51655\n24506 62083\n817 81141\n35831 69115\n45205 76601\n79543 84682\n30184 88992\n50954 72465\n4744 67565\n13772 61201\n1309 95920\n76525 82831\n45379 96352\n28564 50949\n66151 69032\n64270 96654\n19378 90022\n2891 47737\n696 29189\n40061 61374\n32992 87092\n54721 79863\n15886 35902\n11383 80236\n43399 44518\n75986 78323\n84435 89046\n4366 64282\n13862 19253\n3593 40258\n65581 90871\n30998 89771\n12028 77899\n37957 71432\n1596 71853\n23925 47136\n70012 72933\n80302 80963\n19306 64777\n40235 58365\n48251 74631\n39605 78191\n27537 39294\n19165 47360\n17576 37230\n32173 99592\n25858 54337\n37604 39139\n76676 87733\n2167 4935\n75205 98569\n67875 88984\n40424 60457\n43513 96877\n23206 85068\n20696 67366\n24955 36582\n17025 30821\n51536 68605\n61743 61917\n4363 70259\n42463 90560\n30201 94611\n24560 28660\n13982 42332\n12469 64014\n3152 77317\n84216 95066\n56738 63526\n10515 56184\n54810 91049\n43016 47108\n25846 88268\n36314 38905\n31412 89869\n19758 55662\n16604 42189\n22597 30164\n9253 45836\n82999 83175\n2266 95028\n41198 69695\n20973 56214\n42597 77200\n27301 73086\n13845 19587\n16185 94485\n22113 28170\n87388 98437\n25255 90826\n20033 63770\n11413 18747\n36167 53849\n24745 64983\n56333 69076\n80897 95646\n49071 56393\n56047 66459\n2442 68409\n6479 10588\n44608 61656\n21628 62171\n3819 65897\n76008 99866\n64308 67740\n12348 63129\n37188 38462\n44648 65431\n9386 75071\n10367 89673\n16957 22248\n10866 71799\n14046 63569\n64607 79683\n3917 6281\n60547 78714\n892 36469\n27355 59569\n34299 81154\n64224 80393\n3267 69135\n6529 53833\n16187 56724\n72855 76451\n14977 46648\n3951 23767\n17639 91633\n11488 72462\n57886 74574\n56134 79972\n27218 54129\n45668 54847\n43245 97417\n46979 63872\n34068 96616\n51306 66814\n29328 46506\n76894 95705\n21594 82227\n18746 63927\n66783 83083\n43655 73271\n5066 80859\n28765 94022\n2639 95304\n6407 80438\n63543 76271\n25311 92748\n21313 32316\n35282 53527\n14051 46572\n40728 75105\n19960 79333\n22520 94935\n34830 63806\n44681 56128\n14212 91755\n12793 29432\n42075 99960\n11580 35918\n2938 48290\n4603 74400\n23356 84939\n27797 45865\n78186 89251\n21443 55327\n19646 74364\n15357 72502\n3364 27959\n19054 81971\n35127 36319\n42422 81574\n37490 48719\n28692 56993\n11124 85124\n57234 98372\n19804 86264\n24708 51274\n20019 45004\n77195 78794\n22262 50132\n8197 95147\n47366 97931\n14975 98043\n35512 59352\n21102 74550\n8717 83537\n68573 69403\n43238 78146\n35722 84955\n92749 94654\n75456 79716\n16083 61049\n57453 65169\n66373 71014\n12563 29498\n6055 17234\n3808 81078\n45591 60187\n81549 89499\n39664 95699\n65422 88605\n2512 45324\n66750 96757\n23531 97848\n23530 28730\n19325 73986\n57558 58883\n1646 34290\n42554 68452\n29245 56227\n71176 74172\n12519 46818\n4059 25979\n17859 43745\n1597 63166\n29922 40143\n32356 75559\n25728 35751\n28980 62687\n30523 51203\n98216 98747\n66309 85572\n17091 51259\n10750 28968\n79429 87504\n19359 54011\n20933 44391\n46608 68726\n18358 86453\n22765 87699\n6118 41885\n33391 83457\n68342 86116\n31299 93541\n58094 69632\n57311 77141\n33022 92294\n43706 87891\n60305 62414\n11489 55458\n4739 73207\n48399 70841\n56442 77613\n62036 81177\n22773 58123\n4858 47024\n7158 66936\n16512 78366\n8694 21271\n30487 40123\n27901 91801\n26860 73841\n11150 38079\n37126 43035\n7792 20460\n6133 58443\n26487 80233\n23167 31960\n29147 44425\n51397 57676\n921 73942\n68504 82084\n9580 31580\n62093 70212\n22931 69881\n59820 61910\n60995 62474\n49989 88494\n71098 95958\n28462 40391\n36402 43914\n9524 36675\n54971 82394\n5978 91873\n13718 41117\n2984 29510\n1311 15048\n46482 76201\n660 16708\n29631 69770\n62775 85440\n18424 43472\n42168 79282\n9843 43305\n7111 31426\n77212 84016\n4608 39624\n22584 67718\n8367 22027\n78216 83463\n82651 95574\n81679 96986\n65053 76723\n42324 85852\n40594 52801\n40088 55689\n42601 56867\n43178 65886\n10770 21852\n91365 96821\n14904 99049\n30514 99325\n15848 34390\n43593 49460\n21464 47304\n50488 50673\n38641 81264\n25539 68910\n56049 82479\n28279 76787\n21710 31232\n34389 53741\n61398 82518\n47052 54705\n12685 92532\n4939 7095\n22373 28658\n38596 86774\n4528 40548\n18721 76924\n41083 88299\n14224 78318\n68809 79937\n22164 52502\n11818 24915\n21040 77637\n49636 93520\n34305 37771\n9493 64663\n67780 99641\n2652 22233\n1604 48170\n27723 67065\n8236 30111\n40009 54089\n3658 38855\n20117 23101\n87146 89359\n26569 34624\n24336 34652\n26475 87341\n15353 92714\n20203 75675\n26498 98502\n34403 87875\n45874 93309\n28616 49523\n52234 76121\n13735 44356\n37076 50483\n14432 79626\n21241 87528\n22605 47596\n89398 97733\n2680 79300\n38459 59057\n59390 70990\n43583 47749\n1133 25461\n24943 75603\n7740 17406\n52209 63841\n60207 92486\n15395 26412\n64994 83723\n9921 71436\n28410 72250\n40620 85158\n14663 46616\n36323 55161\n27760 80389\n18212 89188\n3893 50136\n69230 88102\n13217 74648\n77865 91450\n17335 82897\n62240 82150\n49950 58509\n1974 14762\n77424 92761\n30583 70017\n73725 75897\n2480 59253\n44125 50366\n16720 62607\n13705 26008\n30918 48325\n37647 43169\n36517 96671\n75887 87421\n36508 88746\n78935 87209\n52642 95946\n9891 35517\n2124 49698\n45633 79267\n32801 99545\n26441 32579\n45224 51260\n55347 82260\n30364 57584\n49848 76311\n26406 49931\n7272 47803\n68445 81641\n86947 99594\n10097 44235\n62622 89485\n62142 89903\n15222 46757\n4222 24077\n49401 81396\n41688 94508\n11379 37529\n66215 94622\n26026 30008\n72596 92201\n72596 82316\n22681 31206\n1935 80820\n90970 97813\n5227 7571\n35205 95570\n25115 67647\n51288 86915\n63813 73585\n3616 49955\n63071 86073\n23545 99822\n9 87202\n14560 33356\n7272 27895\n45081 61096\n15459 56147\n26054 43358\n29202 63260\n8783 53553\n51483 81981\n24646 92118\n90856 91567\n39854 76395\n28744 47960\n8565 41896\n15222 29467\n2477 91586\n2200 80080\n63030 96124\n19003 89847\n53207 81046\n29737 32867\n37154 48900\n89855 91236\n9293 15150\n26553 77707\n46574 51445\n8514 48376\n35024 81746\n2495 88643\n45247 48062\n4918 39466\n2750 53298\n75020 78651\n8287 73794\n13952 25352\n18551 66274\n28786 41098\n14684 59261\n13739 94342\n54065 94337\n28652 38149\n83564 84683\n12370 37435\n2292 70418\n63245 71006\n13509 58906\n20794 74482\n659 32789\n81442 87898\n32548 51089\n33242 62017\n52693 99597\n2193 26137\n70080 97485\n41572 48548\n75845 96587\n47883 83014\n35583 96168\n15743 33650\n31290 86172\n30982 70736\n10797 73089\n5485 15417\n52246 62811\n42959 43822\n20166 24670\n1791 20550\n10431 97327\n13578 76960\n53964 85611\n59694 87887\n57253 76529\n12898 50656\n18389 26644\n37980 59163\n20171 59102\n8801 78569\n19182 29119\n9939 80554\n16456 59976\n26075 54271\n18814 42018\n93516 99801\n58598 89018\n90364 93717\n75851 83992\n70565 72127\n32822 54913\n58427 65067\n92627 95559\n32701 42338\n43918 93940\n37541 73236\n9787 81531\n11316 91215\n16525 55330\n50411 56095\n50851 78880\n63033 73679\n68126 70049\n11371 99695\n18001 35708\n16704 22322\n53447 88325\n17754 50847\n93078 94987\n58632 81191\n22265 46955\n13119 30186\n3307 34221\n49636 77312\n29256 56608\n65289 72887\n30791 98490\n53020 74609\n7679 24574\n31693 41361\n1503 38871\n47075 99674\n73549 88261\n47924 68684\n17617 27009\n28920 38865\n37274 51377\n4371 40581\n49191 89599\n9898 27380\n16429 27592\n51360 80856\n8949 56101\n54785 56219\n20946 51789\n78988 93317\n16926 69425\n10839 15558\n26911 93821\n57851 74406\n62839 86294\n50998 74331\n58985 85557\n70149 87345\n81547 84134\n15076 31616\n15043 97404\n42980 81567\n10835 89864\n23004 53371\n52908 84164\n25560 62546\n13081 76063\n21447 44907\n33147 70548\n9383 86588\n46036 50861\n78559 97783\n2390 79788\n30081 64039\n28340 87686\n82457 86371\n29157 79203\n1352 21641\n46130 87685\n15687 79438\n45346 93169\n62141 92808\n46168 47414\n46254 95051\n3793 98758\n27233 65240\n14516 50935\n35220 74059\n15529 34111\n20921 70108\n38880 61584\n37414 92644\n7598 98482\n21517 98528\n45041 71608\n4876 82291\n10536 30651\n6041 90885\n53090 53467\n40200 52218\n49255 67017\n45488 97066\n8271 67084\n40710 57042\n55538 98761\n9673 72714\n22859 66174\n39254 48998\n16501 33881\n3214 99650\n52534 61290\n2776 66711\n69893 89669\n40854 53460\n47290 69813\n20928 69153\n40709 88933\n46530 57205\n57605 97275\n1813 85539\n12095 87790\n64236 72581\n13351 51468\n54159 71289\n14002 89667\n34053 85272\n63450 89360\n50359 84249\n13527 66570\n40157 62521\n16321 67090\n59534 82899\n23676 54178\n15529 88034\n30614 96444\n29117 34368\n88449 98902\n27159 85377\n11715 96796\n11385 42780\n7713 46433\n39728 76292\n41425 76529\n50038 57637\n41229 81243\n341 84596\n51033 78155\n85387 88237\n7925 40064\n36917 98302\n53224 88338\n4076 34585\n252 42527\n35936 72288\n20874 27610\n10705 62671\n51614 97543\n75503 84665\n17798 59383\n43550 74490\n55993 85131\n56864 68853\n32281 67850\n10948 32785\n60577 98508\n7880 51545\n45192 83935\n24791 48214\n61546 71190\n38355 99272\n5260 82282\n17734 51209\n4071 98631\n463 64308\n29094 97432\n35492 73849\n11133 96407\n33137 54707\n19804 36236\n5959 89754\n43504 85928\n66812 70109\n42093 68903\n21164 53989\n61583 73482\n33971 68761\n45183 56041\n56853 65650\n51868 83418\n26017 90220\n37128 59473\n38958 66667\n17734 80024\n63094 94884\n25109 72518\n54224 95285\n5452 89166\n33562 56115\n47087 60361\n61306 94931\n76481 99696\n35598 91530\n68773 73035\n18287 85949\n42751 55025\n66631 84789\n9391 14671\n24230 87650\n40181 49193\n20942 58523\n30419 50840\n83641 97445\n34097 46462\n29443 62268\n17222 86194\n4023 60371\n43311 96794\n14204 78880\n69319 92724\n29887 86067\n65371 73919\n66798 87730\n60988 90045\n10332 83609\n5919 24339\n53911 79951\n21977 45500\n46578 61806\n10609 29024\n11744 23368\n58299 99890\n54160 91436\n2067 82100\n71007 77838\n67422 67591\n7938 99739\n12858 97275\n82528 83949\n9104 65215\n39671 71572\n23669 92797\n62281 73405\n28410 36209\n56780 76416\n48790 92964\n38836 82118\n47576 75536\n1733 93931\n10666 63978\n9204 65308\n83571 91123\n34864 99831\n4298 97800\n48459 59006\n16509 27453\n48833 80051\n42338 51828\n53162 60647\n72221 93916\n52345 74319\n70076 94763\n38343 39331\n68855 98683\n9058 89658\n51166 58595\n11990 54733\n40279 88016\n31752 80565\n8911 64580\n10761 17180\n3332 14697\n83099 99958\n15250 94903\n38219 98165\n48656 89038\n5019 26501\n87972 94811\n26613 77363\n13384 62743\n61223 84427\n10658 54071\n43096 56987\n17917 91177\n6995 68543\n65542 75632\n32501 32702\n6136 82082\n46621 50770\n9356 40508\n25703 31864\n10752 34476\n17052 40419\n59949 61667\n54689 82405\n37725 39580\n6583 92281\n17958 42882\n6128 44185\n10333 79742\n844 43872\n10633 45290\n5590 37926\n2876 82294\n36588 70281\n52529 78315\n33151 92160\n30875 59655\n17905 60318\n25110 40666\n1441 73180\n30214 63141\n46594 75806\n58051 62480\n25494 72925\n21361 38559\n45039 96732\n29153 69886\n22079 48289\n6108 95745\n23658 90418\n55630 96663\n36376 59341\n41399 93093\n10171 81939\n7076 55568\n64115 73485\n6595 8532\n19294 64982\n87405 88307\n8556 38034\n48690 59933\n42193 90156\n30392 39309\n44232 60286\n79114 83919\n71392 72893\n3989 5829\n68522 80243\n43669 43996\n27985 80909\n51020 79189\n10032 30039\n26700 44530\n27475 96579\n48195 99218\n4999 27430\n40664 63273\n53612 54842\n76496 96484\n19243 94730\n42114 68858\n80428 91112\n30524 95590\n41007 80865\n17964 58329\n39669 77369\n88128 94896\n9198 59849\n55079 80968\n41048 76843\n4527 45218\n11939 20909\n23232 32844\n64870 79612\n35998 39873\n8227 56270\n65579 68065\n50601 80405\n24163 56143\n70739 76750\n723 71715\n17497 66969\n83934 84590\n80889 81881\n33031 64254\n18137 69356\n38315 75245\n77280 92443\n10192 94539\n8101 68854\n39512 83592\n74942 90751\n37261 79170\n44958 86611\n26341 67778\n32329 58108\n63784 96325\n63164 97040\n34059 78816\n54070 79267\n24166 33184\n11935 51935\n27252 40728\n19127 73003\n32355 51885\n48432 54399\n3816 48275\n28033 89046\n14241 32644\n49291 49301\n11535 92749\n19130 44140\n3930 86385\n34106 75327\n19237 19444\n15080 45178\n23438 26476\n84674 90970\n2463 67462\n3604 20151\n50698 55061\n24670 75548\n59626 64134\n7379 12194\n31123 72038\n85189 95737\n83771 89904\n7217 83286\n80604 95586\n48494 77388\n29444 81022\n12676 74994\n48740 85313\n60247 68742\n61793 75719\n12401 91107\n35413 61246\n28852 85461\n23196 35515\n362 63598\n31543 86593\n61672 69297\n67234 69722\n52376 94928\n29199 77185\n35101 69914\n9357 72442\n30734 58099\n79842 93158\n37187 53839\n2286 65416\n46646 64013\n34537 65615\n2780 89011\n29038 88566\n13966 81182\n87579 89007\n24519 49854\n30384 98093\n63652 76814\n18537 85802\n40903 43384\n64874 79647\n181 12711\n22969 25804\n16780 63496\n51918 79574\n39686 79980\n8877 94164\n19092 96316\n40649 90982\n14580 21221\n10545 57609\n4278 33187\n69450 99723\n62603 82908\n8736 13760\n21431 54983\n77602 78311\n10501 69716\n57984 76058\n7839 60598\n46888 97170\n25435 84141\n6626 15500\n1984 64750\n32758 70271\n32110 90691\n6488 36281\n75257 78156\n27869 62629\n59270 78061\n40097 64948\n21634 22580\n10425 63405\n2493 4875\n19202 42678\n25390 29956\n37014 67104\n34112 73785\n61453 69701\n20938 58647\n6623 67041\n30841 70272\n14446 70945\n23229 24813\n677 90125\n70149 97520\n13498 53618\n12559 72714\n75417 86757\n25684 40512\n4044 31265\n26826 83060\n59395 73798\n15218 57659\n10377 56153\n35516 61675\n29697 75220\n61304 63689\n51901 87298\n32626 98653\n59717 82511\n42590 58364\n40529 56635\n47982 87652\n3367 57503\n50984 69482\n24385 52497\n87 65831\n21060 49640\n47228 66228\n17711 33747\n3771 94138\n65957 66210\n50498 70116\n30229 35625\n70763 95042\n63231 86147\n81666 91853\n33343 91843\n14309 95917\n28291 52846\n13631 42366\n20412 99226\n39428 99133\n22825 70917\n39630 65283\n67266 75000\n48745 78874\n51295 75025\n79934 89455\n49326 96758\n11108 40272\n24547 34760\n88191 97161\n177 96026\n19353 29285\n20909 60789\n10757 61707\n35018 47730\n80140 92981\n14091 74706\n43118 55849\n30262 98071\n1593 99141\n73646 85342\n28682 91713\n17073 77195\n28259 49308\n30479 51327\n21120 35778\n34185 73816\n41929 60730\n5444 48352\n68554 93263\n39546 70498\n5361 89615\n75815 92852\n11303 11930\n73733 80028\n69411 95294\n13516 96900\n11197 68109\n79417 94805\n86786 97158\n2992 75407\n59049 96765\n13905 29489\n92268 98146\n58491 67953\n32357 40834\n29592 70345\n36486 55222\n8585 44229\n30204 54167\n20117 77688\n15449 75242\n38448 66685\n9041 16114\n51029 67099\n40943 76493\n71495 83388\n16596 39901\n15932 83280\n37096 49011\n26862 68365\n8237 73177\n79579 99121\n11467 19211\n491 50606\n13388 72933\n24665 84632\n149 78961\n40121 78522\n47362 51587\n12702 49541\n15943 56847\n23688 82929\n27034 50708\n20382 43799\n1830 18721\n41678 57336\n90820 97866\n28727 49385\n14869 82506\n81484 83652\n60773 88446\n34450 72689\n13360 49780\n71601 95742\n20915 92315\n4983 46916\n21688 97255\n41634 80860\n45707 56886\n12435 74158\n25863 90158\n9852 23766\n7471 56570\n52412 64398\n48647 55731\n45669 99462\n15117 36942\n5892 98292\n39166 78922\n84505 95298\n56490 88115\n24328 35464\n58662 95402\n20880 69199\n46110 69133\n74948 89937\n9046 29066\n45871 70372\n11566 98678\n48934 96322\n1923 71166\n3037 90710\n12999 70960\n33156 87737\n17198 52519\n29111 78895\n13015 61689\n11232 48086\n43398 94263\n61647 99905\n4658 5016\n26803 46306\n9796 95485\n64658 69268\n38797 52296\n3596 12922\n603 93381\n614 46217\n708 1672\n30651 59990\n37125 56189\n3949 41129\n23957 68831\n69507 75793\n9747 43113\n86806 95406\n41951 89486\n22950 72950\n77280 98076\n55475 79258\n74437 96978\n1667 98690\n94610 98156\n9502 20325\n14522 82941\n17726 65418\n12035 52761\n23504 44172\n6824 98967\n44161 51316\n34142 48259\n11818 12423\n39255 74784\n6801 67344\n10264 34181\n37917 40820\n82634 93666\n46297 60425\n32079 73821\n47188 86801\n13621 93698\n16253 38983\n50380 77994\n57316 66244\n14291 51513\n16399 38349\n20048 87295\n15665 52074\n14680 30803\n49943 51199\n44464 53737\n5345 47828\n55827 56756\n17302 22723\n64138 65725\n9598 48711\n41906 87523\n8841 9332\n55646 56465\n43668 69844\n18163 49816\n74578 95760\n18589 77416\n23491 61893\n27321 66626\n30630 67122\n22094 74024\n73649 86438\n67623 85689\n13020 71668\n74079 95842\n9765 90683\n48944 84956\n17770 36892\n25956 92085\n62575 85400\n21862 22467\n405 3623\n16819 73135\n18275 89090\n65949 76892\n45527 88937\n83174 84992\n72718 87128\n70221 77111\n50458 62980\n15565 71309\n5929 50756\n55617 62341\n73785 88846\n48099 56497\n2466 70375\n16003 93261\n12800 58699\n522 80809\n31524 91492\n6693 77752\n49032 75711\n69837 81178\n3580 56608\n8706 55715\n69679 90805\n23910 53987\n68410 75915\n29746 36123\n15141 96450\n49144 78920\n56080 86133\n73291 83667\n52642 78125\n18594 63172\n26599 32694\n13715 83314\n60828 68076\n9886 49192\n9615 46135\n3286 82460\n20210 27177\n47270 84458\n28156 50539\n27888 33463\n28846 72687\n15726 33193\n1918 80988\n21754 70982\n13754 23252\n45099 85836\n8207 66023\n30311 82865\n65958 90926\n33893 85903\n4921 13200\n57894 59873\n5334 54683\n39794 66910\n53499 83141\n37703 90016\n72365 75960\n992 68928\n29509 79881\n16365 21412\n36983 63411\n89470 96652\n22957 26123\n14388 19238\n44030 74615\n88153 88739\n97844 99073\n13299 52944\n40032 76333\n79910 82061\n12650 45450\n65539 91545\n30219 40850\n6052 61870\n27798 77985\n32526 72176\n3299 79056\n13965 90636\n66827 97684\n40478 42584\n13323 56881\n42780 57149\n51200 73678\n58594 85283\n60223 99916\n56740 93996\n37523 84183\n35373 57104\n26612 91636\n54646 72184\n7187 40300\n68293 76908\n25577 30954\n32088 57214\n3440 49915\n4053 11437\n23126 24952\n87117 94926\n49350 87144\n977 63459\n17821 20986\n26134 97755\n9957 37102\n35645 87039\n33315 59844\n44898 92792\n26634 82943\n28503 47758\n4378 57043\n38130 72621\n95122 97619\n18239 55969\n33412 94117\n62131 94977\n45715 78415\n65507 89205\n1293 29271\n31992 53086\n83127 87986\n38111 87847\n47183 49628\n37669 47450\n69446 72686\n19098 25421\n10100 66948\n8729 29565\n25450 50588\n16992 96972\n10615 94915\n549 63840\n78705 81126\n86486 88106\n49765 52618\n3918 80492\n72428 73930\n48048 51212\n43301 62912\n6955 58124\n61984 92687\n63567 92549\n1875 61785\n16958 32756\n90525 98247\n17706 85989\n3430 92855\n54065 71665\n3449 67536\n73340 77242\n55199 83789\n796 49606\n81088 91245\n56968 89955\n71673 85312\n77230 82185\n3048 15692\n7343 19295\n5233 13176\n5525 99193\n45380 70201\n60337 96357\n31885 87138\n59124 60223\n12501 26457\n22569 38146\n9199 93610\n26835 73473\n14622 36986\n32816 54129\n46237 75082\n4886 28434\n25483 28276\n79481 92458\n3579 13016\n18979 27596\n12565 83319\n13519 70385\n8351 95738\n21915 97257\n89307 90951\n13953 17928\n7 23494\n92435 97131\n38104 77105\n28289 51083\n10651 48628\n74158 86730\n16435 81625\n23859 47751\n40164 59404\n29559 97407\n12587 53676\n36166 92585\n43293 45016\n11357 39309\n27360 41800\n53225 70071\n10998 46072\n3808 21254\n5472 16544\n58519 96829\n15296 98120\n8528 13087\n43874 50061\n36677 87910\n25985 68431\n22899 53671\n3962 30776\n22335 26965\n12112 18105\n52118 98186\n45264 51983\n29714 88141\n47580 84012\n35268 81686\n18910 84677\n27923 62300\n23175 59274\n90810 93267\n6334 60842\n30188 62924\n19920 87680\n3835 94401\n65929 86862\n48576 82068\n878 3585\n67997 92890\n32622 76796\n27553 45723\n28635 72761\n15554 78294\n24894 78974\n1772 79075\n77062 93000\n48600 75177\n61064 67437\n3417 53140\n12477 82349\n1069 94384\n33223 69963\n30995 86547\n61775 88426\n78742 79353\n59409 61450\n83795 88391\n79907 88184\n31112 51394\n51788 74825\n21088 27378\n49879 79265\n61092 90156\n27970 66819\n19643 68325\n56317 98979\n54691 62518\n87177 94677\n51486 79403\n25987 74188\n34033 53397\n5267 55040\n19608 34643\n75524 75859\n16461 37326\n1263 52312\n59891 88748\n6779 19181\n3964 55281\n43828 82243\n4043 69496\n28342 40272\n17535 97771\n13212 86090\n1497 61479\n65462 72285\n90765 95858\n56720 75245\n63976 64809\n88542 97261\n48644 95747\n14990 85394\n18768 73623\n23978 40182\n14872 84734\n15573 27535\n66995 75605\n35677 67407\n91523 92978\n1784 79359\n57921 63811\n18865 97789\n22272 67772\n38298 80020\n16045 63214\n46728 51667\n49195 65411\n34397 71183\n8685 41111\n77957 86274\n64515 81124\n14918 66051\n46037 77410\n46684 99028\n32592 56061\n27304 58407\n5479 31090\n2469 95764\n6979 28787\n5092 17174\n11617 99500\n55798 88894\n11573 78301\n27155 61747\n27113 82761\n30524 44624\n18067 75853\n20244 50779\n69893 95094\n196 91310\n31826 99493\n8420 32732\n13783 90994\n83304 95528\n60556 71552\n21145 23143\n19814 81406\n1214 99285\n25948 29878\n4649 16290\n40044 69825\n42033 45436\n36410 55296\n32648 34107\n11712 15659\n82543 91513\n6643 22218\n38287 99995\n37207 66025\n52556 86536\n12520 26125\n13760 74735\n18504 40052\n63408 71526\n2721 63395\n52419 68276\n5360 89387\n39872 72650\n59402 93894\n2238 85742\n19529 29329\n17373 84552\n39395 85638\n33739 87106\n5256 15708\n29486 37591\n48131 98850\n59031 90249\n2399 99035\n25964 51040\n15759 51696\n45691 93569\n2368 18384\n4519 12306\n50311 58221\n55024 98122\n72548 95299\n32003 55763\n34048 65352\n52674 92983\n21480 27117\n28192 40548\n49224 89201\n44520 73910\n63276 99308\n17686 83319\n36210 42378\n53294 86335\n43992 79843\n899 85381\n69032 83665\n13394 30903\n23753 98404\n12654 39111\n39759 45508\n26182 39162\n27008 81549\n42651 64066\n25790 37222\n9806 70919\n17849 98391\n58272 81394\n41420 71250\n66760 81854\n22426 54469\n19110 77207\n70106 74376\n60978 74881\n45943 97200\n1334 94047\n12504 57475\n94221 98565\n13883 80121\n9142 84937\n72384 92530\n44030 99871\n23858 29658\n44374 55538\n67720 99181\n36839 59280\n26459 30183\n53354 77256\n31831 46272\n23064 36577\n61347 79850\n55728 99015\n19445 92697\n8349 65800\n11747 49948\n72014 76211\n39186 73113\n75941 89505\n29287 50160\n44541 65021\n32732 61930\n14171 97030\n12343 66351\n39198 52759\n68029 96972\n13026 38078\n45191 87999\n34126 42398\n31598 51982\n80445 94809\n43849 87059\n34609 58361\n28305 67662\n86664 89237\n11708 37819\n24212 45695\n958 19938\n41829 48150\n46835 69133\n162 71051\n26157 67731\n23046 61644\n52854 55004\n77216 79905\n33372 72423\n35943 94908\n43293 44923\n45913 88012\n21571 73484\n47098 69235\n43473 48339\n57199 82195\n68501 69091\n35437 69729\n26654 87026\n16166 74375\n37447 65930\n75596 82863\n65700 75565\n59136 80124\n30514 34034\n16647 18300\n56455 89077\n252 49202\n35021 91319\n26451 31278\n15011 79777\n15730 78550\n51225 74268\n20167 84334\n11203 32755\n159 6216\n18337 96203\n31454 54437\n5693 84434\n60683 92124\n37874 89817\n28397 53674\n47504 82231\n49604 55846\n9572 47571\n79228 86405\n48648 86292\n9379 34669\n22717 36068\n63038 99167\n27744 85535\n2625 20994\n4448 52759\n43767 78283\n2996 93856\n14089 65101\n53279 91622\n26603 47701\n33123 58058\n3011 99091\n18317 68813\n30103 35778\n17236 28882\n31244 42200\n68923 99782\n20652 26105\n29016 74048\n36613 66998\n13556 28295\n66480 76599\n35857 61777\n14272 26487\n18037 53168\n12105 94156\n1557 1716\n45040 83356\n34233 39624\n35965 55654\n25780 67392\n4561 37149\n14475 18078\n17471 59309\n62216 67350\n2897 86732\n30941 91601\n42560 93433\n69384 93456\n54505 54686\n43087 62374\n38690 96715\n18367 68789\n47244 59445\n29118 96528\n71726 84146\n28279 42345\n9293 44916\n51040 98812\n40090 72515\n53756 92544\n25204 40399\n9016 11391\n63341 89211\n75120 93686\n53117 72203\n12878 21286\n1596 35843\n44138 77412\n499 15806\n11454 73424\n4008 93929\n22366 27454\n39893 79627\n46316 63741\n57678 95815\n16736 83908\n2512 6536\n52361 80894\n8764 40853\n64713 96384\n72646 83008\n15634 74240\n23785 27176\n72402 75716\n40830 52078\n50991 89475\n383 49588\n15869 28332\n78344 90920\n3049 66339\n44736 47981\n57154 70400\n62804 72992\n12842 75328\n4565 13240\n25180 36874\n6900 50418\n87625 88307\n1102 98788\n36111 87564\n55410 67958\n76716 94221\n38987 90644\n31688 42140\n46116 81137\n75854 93470\n36070 78401\n10354 27959\n24600 38253\n3429 23771\n69996 71821\n17824 26986\n29643 60317\n25427 35804\n72534 81405\n10938 87664\n3438 35625\n16511 74899\n13342 18900\n56913 96920\n77589 80504\n63764 84140\n4925 36940\n61031 92719\n34758 45744\n60620 73765\n28579 44535\n27920 52046\n12141 40523\n99 45211\n41752 44037\n31172 84858\n26786 44478\n5275 89484\n45658 46808\n16462 75137\n58179 95412\n20806 79850\n32311 86387\n15641 96970\n51650 54154\n12432 60105\n27242 83260\n67975 81309\n14913 95350\n3920 90185\n29546 66610\n76724 90918\n47555 56332\n3353 94483\n48070 86354\n92662 97134\n22738 69848\n15927 44729\n3210 47517\n4807 34576\n59353 71634\n30661 91846\n40841 91417\n39793 55839\n64892 84100\n29407 44425\n8650 51372\n3985 73904\n41890 90599\n33230 93699\n1815 78962\n59866 64919\n11495 31802\n55015 88293\n86501 92802\n14966 38618\n30929 99050\n6988 60727\n80946 88240\n31887 43920\n33870 98102\n29856 53696\n50585 76957\n19856 62069\n29426 82316\n37413 64633\n64132 88620\n56888 99153\n31461 90273\n57745 98886\n36243 82064\n8589 9133\n60283 90750\n36050 66876\n16088 56347\n16790 29624\n10174 12881\n52739 61770\n38080 38737\n25365 84894\n5737 10757\n153 63622\n17025 70078\n42625 88402\n31447 97278\n13480 74875\n31700 51371\n64383 69625\n36882 88814\n43408 81425\n30664 39841\n6851 93438\n10975 63513\n61551 63253\n15946 64754\n3703 17413\n164 62731\n1468 99577\n80246 87709\n5811 92931\n24968 68038\n15792 70137\n43898 75676\n32042 65323\n23356 88236\n14451 53081\n2352 61282\n17851 75093\n1183 32222\n14888 83652\n15651 94088\n16047 27576\n27968 46540\n51250 68363\n6974 42650\n52381 53188\n39746 72595\n1948 4635\n64180 74325\n15391 30285\n36183 94093\n48020 94934\n26453 90332\n2159 21938\n20781 21873\n55811 88789\n81486 95146\n53619 75808\n29984 77354\n20854 40487\n9513 71080\n5863 58674\n4890 68061\n64026 97024\n36501 44699\n5044 8228\n29129 40100\n20800 44493\n1232 85556\n28465 72582\n78206 85503\n23851 58507\n28119 36646\n22254 97627\n13880 17007\n35062 81333\n8259 83449\n33698 90725\n45367 68347\n6692 41658\n6049 64455\n29892 56650\n77256 83016\n60395 65949\n31259 65409\n16850 40673\n51525 53517\n34168 44217\n22747 33846\n83313 84773\n28995 90577\n11854 90799\n34677 40373\n12711 64977\n61053 97745\n57154 85288\n19065 80285\n28620 55625\n70267 81119\n11797 18242\n42535 52302\n6542 93916\n8477 21337\n11330 85759\n11906 30037\n23913 72185\n1765 3665\n35134 98217\n6221 37726\n14866 24921\n2254 43464\n5965 27519\n9409 46845\n67655 93201\n40058 84893\n19755 50837\n40342 76619\n60668 79479\n27512 93738\n66305 83545\n4912 25165\n70856 95332\n22523 26612\n36534 43038\n51507 96200\n80562 97765\n95535 96961\n24588 46520\n6231 95346\n41807 83717\n66056 99324\n69990 98484\n79445 95468\n6622 77270\n40276 55826\n93605 96219\n14878 97655\n60664 85960\n11293 76513\n57711 58120\n2094 20556\n81556 99216\n911 5874\n8233 32721\n74049 77019\n66765 75904\n23909 46824\n45616 98983\n66107 79862\n29661 64661\n25115 48562\n28907 49510\n33548 90355\n51206 79075\n23536 51187\n66181 74510\n9786 52675\n34722 65332\n52310 89179\n33372 42713\n71630 95984\n27352 47688\n33817 66129\n93474 96520\n39490 47203\n14913 27703\n11284 37256\n50815 67008\n11697 61346\n21640 23734\n48328 50510\n50669 80732\n53907 93721\n16955 39801\n61169 88601\n21176 35273\n81147 99713\n5336 97086\n38106 92433\n28002 44373\n51710 83837\n56868 80824\n83311 87743\n30642 36247\n23183 81413\n75506 80112\n6751 62696\n55303 88914\n3438 78062\n36827 88337\n11686 56674\n28349 64110\n17895 87402\n31294 80894\n60921 76811\n18419 31516\n10764 43634\n3486 81368\n30654 99964\n11912 67698\n75498 82376\n24384 72156\n34916 73669\n64990 92938\n40128 54053\n51861 94765\n452 98987\n4912 39668\n53118 80811\n42163 82115\n11621 87928\n6726 9004\n94018 94366\n11990 63684\n16131 31776\n4252 32432\n42507 93661\n29232 81594\n4073 22576\n46454 76686\n22387 23350\n32698 66297\n9448 20818\n23831 61717\n55608 87384\n71209 86399\n16646 81196\n33604 46229\n3002 81822\n52182 64749\n43 13829\n67038 75399\n1125 34536\n46127 57547\n20248 31072\n14341 44843\n46184 83625\n37626 57706\n60952 81937\n12272 31205\n19343 32290\n49684 92542\n75256 91481\n63870 81569\n44404 45731\n19148 34525\n45029 89908\n55335 97669\n36237 56799\n13012 94133\n56984 95068\n19336 51406\n26363 59930\n8132 74057\n8102 67345\n66368 85059\n14336 38354\n28596 72191\n44768 69638\n73611 97533\n24980 87452\n32006 93022\n2027 97772\n14496 98511\n76684 82460\n41290 60124\n38387 85670\n40847 62277\n28618 59651\n57286 80406\n34588 38305\n63531 77024\n56581 87648\n2553 29807\n21907 29810\n35791 36474\n57442 67149\n11173 36002\n648 10078\n27543 97448\n1415 39341\n24836 47179\n74940 95608\n81751 85344\n72036 96937\n54351 97844\n36232 51070\n11097 11574\n79589 95622\n69114 90365\n1533 73504\n42826 72097\n23997 75434\n11673 18176\n4547 10809\n9883 18761\n3112 12187\n3617 13463\n14604 75835\n631 63049\n41655 60555\n16139 85083\n47249 96572\n57633 91802\n33987 72217\n8647 56029\n25193 50736\n2141 53583\n17053 77875\n49794 54947\n90935 94054\n93649 97092\n6856 72798\n31907 60412\n3581 21154\n6068 81286\n14190 54719\n51161 52533\n33807 50099\n689 25345\n46265 66945\n57382 80349\n49201 77986\n32286 47631\n26755 67363\n10947 62610\n44114 96293\n48286 85235\n32394 75019\n15911 64928\n10918 14606\n23441 40609\n28913 82077\n72071 77081\n39140 50019\n20597 91391\n5636 78926\n2323 85282\n42132 92957\n3759 30465\n41888 42246\n47655 91745\n32962 77657\n31878 37408\n50422 73576\n64843 80210\n1415 95584\n50539 67637\n41934 43902\n54179 81139\n49553 74603\n80770 91368\n60873 68303\n79431 97587\n2420 55904\n23513 48638\n2936 33649\n62535 74236\n12348 74730\n47506 86279\n47117 86833\n32568 67902\n17850 24789\n5122 34923\n14198 69371\n53568 83780\n65190 98165\n72168 98191\n41365 60398\n10979 38623\n21082 51706\n82139 92132\n3083 20842\n28938 77348\n9551 41261\n14637 33203\n17756 52853\n10480 30079\n16567 55796\n10634 82026\n60701 91685\n8177 28066\n62372 81765\n20940 77376\n68223 94397\n17827 64359\n9382 26161\n39474 68672\n41890 83660\n33598 58983\n63796 76113\n4847 76683\n11892 91105\n57804 68799\n72933 78951\n35233 96024\n37178 52857\n33554 37085\n51332 70215\n54823 79796\n15317 50189\n11398 67841\n30649 41378\n45992 56309\n17517 94275\n27563 95435\n83206 88306\n46278 62514\n8447 29699\n4533 27321\n50398 72164\n24084 32611\n1916 43989\n21810 98550\n4874 73114\n20615 93890\n47128 78109\n22938 39510\n34324 76482\n72246 85379\n10390 72169\n20089 64995\n24274 28786\n11408 59581\n23601 65590\n5910 69721\n41192 51158\n36382 36774\n44098 56765\n64347 64722\n45472 61215\n45380 76765\n60002 70840\n42924 73873\n11800 82025\n44409 74741\n79077 89718\n67487 70674\n43801 48414\n61013 77336\n65166 68942\n34591 67281\n6918 51424\n83837 87093\n1835 44823\n51677 69823\n14120 66334\n8373 99997\n2709 68977\n12291 82840\n12688 37235\n40734 88832\n55494 56014\n67328 68507\n82426 89164\n45487 92991\n1242 69022\n21271 65519\n42194 56138\n57839 88851\n2715 57652\n50829 51806\n32158 96180\n7992 76778\n42068 69591\n41590 49116\n10776 35001\n25865 61633\n61921 88402\n12307 37917\n26644 81424\n1081 14031\n86169 99107\n26457 89012\n58541 65125\n55393 68750\n37907 75109\n11037 68534\n22198 82461\n30071 78967\n83286 98611\n71390 98343\n28190 87005\n17858 53107\n38209 49583\n35209 62666\n4586 27890\n44734 56580\n42891 80552\n12736 64181\n234 25234\n84544 99128\n4868 76931\n62102 92116\n37675 75017\n70219 96209\n84179 99981\n44067 96640\n29072 35050\n74590 86376\n7228 39629\n84830 87400\n56110 72864\n37661 78206\n22244 80878\n41923 69875\n67492 74180\n19488 35516\n25732 62266\n57148 66651\n15459 31511\n38537 86229\n51293 53302\n21027 71998\n41416 45933\n71033 81935\n9158 98389\n8330 81861\n18141 31700\n4206 44731\n68622 80621\n17213 32437\n58647 77016\n28555 65276\n16022 83519\n40693 60039\n28508 78509\n56654 81309\n9933 95916\n28887 87110\n37803 62654\n79686 84656\n58670 89182\n24187 43851\n12077 30058\n16211 37395\n39492 57943\n8324 71909\n22237 42754\n53935 93404\n623 54184\n7545 44894\n35143 50288\n82384 92026\n4545 48592\n18420 57044\n36372 79035\n3115 89668\n12491 71934\n2012 22077\n89083 89278\n76467 89560\n24679 81948\n27932 50927\n13241 53274\n34570 51706\n30798 48892\n52050 91342\n52183 67071\n2828 37131\n52555 65974\n50505 53183\n12733 68769\n15866 64119\n18832 81674\n77399 91228\n9200 58940\n93502 94769\n54977 95457\n387 4706\n75115 83677\n26547 90114\n13187 51693\n27883 66415\n71026 71690\n16054 85025\n14244 36384\n78166 81756\n51543 61169\n7098 29114\n16976 21174\n62235 83440\n13395 49238\n8371 43532\n11599 73387\n6559 73702\n40135 56608\n10893 54075\n18425 87146\n48282 61677\n67889 68064\n58671 61317\n34848 51830\n30819 95961\n64918 77419\n63549 93330\n22087 57685\n24883 54051\n35619 74791\n24206 28989\n51611 84431\n1512 50507\n10508 17113\n48550 89692\n286 81617\n39451 49292\n31246 41779\n15272 98496\n57160 67998\n33984 93610\n35757 93034\n60723 62084\n53795 75604\n29220 97151\n40185 85804\n3613 15950\n18354 61835\n19182 37827\n70557 82373\n18562 22087\n1597 38156\n5395 30287\n56059 67705\n85107 87337\n6153 85996\n67756 75906\n6167 27145\n60218 64568\n87758 93616\n6614 72620\n57021 60401\n35275 81921\n81077 83656\n22012 46062\n9679 14174\n14364 70248\n5940 84950\n17767 97854\n63038 99442\n60449 62644\n16618 43947\n25424 51927\n5153 90781\n77609 78669\n5650 67922\n38244 92636\n35538 35756\n14525 18863\n23487 66376\n19864 93422\n69507 89395\n46837 70503\n25584 63902\n13015 38676\n25107 85866\n58086 73058\n30410 42858\n50255 59057\n10297 42418\n38158 90399\n8415 13406\n10298 63296\n21227 81073\n43279 87990\n11718 81407\n29720 87357\n19441 55154\n36435 44104\n50034 71374\n24123 26531\n3790 66222\n47148 93713\n26724 75052\n9261 13482\n48491 66506\n15169 15295\n13109 76438\n44334 75373\n19907 54069\n26514 45025\n59378 92742\n18586 38326\n42346 59017\n67174 89777\n35599 57312\n81078 89534\n37163 46769\n21711 83259\n35680 75996\n44890 83063\n1973 24724\n68855 99972\n68973 93028\n53704 53907\n45714 47586\n22827 63065\n38429 45929\n31276 96023\n45801 86475\n17034 27823\n16613 68793\n9383 92387\n19196 24136\n1162 87951\n22425 60094\n4695 67026\n20000 23388\n21480 32761\n12267 20666\n20979 29337\n31273 38617\n59343 70807\n17886 24315\n20742 42448\n42073 66959\n20446 38508\n19880 43978\n7244 7604\n30514 54063\n19825 27962\n35360 78841\n2332 43932\n18590 79655\n29931 75641\n24330 48986\n30347 93108\n35201 86912\n77133 83003\n19703 70361\n44216 84725\n38360 83045\n39953 50541\n80089 89967\n24445 25630\n28550 86654\n61977 77245\n5408 59937\n61648 93265\n6140 51842\n32897 95915\n2659 61668\n9671 50077\n39090 99859\n41703 97701\n4477 37084\n18190 44472\n63917 86014\n31425 50045\n56809 61398\n28914 34391\n45540 63484\n43250 97914\n19483 64962\n9747 19464\n52894 97509\n22159 42225\n6683 73634\n63608 69440\n12759 75651\n34688 73030\n8426 31526\n92740 95668\n90144 91951\n45619 58040\n13494 71168\n10378 36096\n36482 52368\n14294 48208\n39680 71419\n88754 93193\n3621 97911\n12574 49105\n54855 79180\n95091 95725\n67927 75930\n32428 44146\n17548 18832\n2525 53752\n712 28590\n15642 53216\n8119 84727\n22847 27972\n34996 97466\n49850 89623\n50787 68077\n23940 60748\n3585 14298\n54560 88468\n38092 81656\n77524 90852\n56916 86792\n28674 86248\n6578 60980\n10907 67793\n39052 42197\n57453 66637\n50486 82622\n13535 79028\n56301 97257\n1989 81389\n23031 76890\n29133 78477\n29711 74286\n83128 83129\n3694 79977\n13292 70553\n43671 94291\n58490 97769\n19088 79625\n13081 22519\n16469 46905\n64671 90229\n18772 55289\n10420 66283\n33923 65369\n12550 81531\n29169 90853\n19451 62982\n4727 62974\n33125 63922\n13730 28441\n58850 95415\n68422 86164\n38360 77308\n49483 99310\n39965 47893\n75819 97270\n22441 35308\n7711 69654\n15821 96252\n9564 30645\n5984 17339\n23957 55237\n6849 75459\n24900 62929\n40647 73858\n41097 58448\n52558 73111\n32545 93175\n38500 94501\n7929 55610\n29447 67996\n28972 94355\n38531 62821\n31979 42754\n10826 89436\n39942 74537\n35015 47536\n80292 86550\n5927 80920\n15186 28309\n69813 71855\n18108 85176\n21009 46190\n49098 62606\n30322 90305\n27340 95468\n39284 91138\n20202 20417\n52236 72404\n961 81538\n14025 39172\n35231 72243\n11550 64193\n7315 19173\n13902 70970\n17443 69175\n69794 80201\n50864 88910\n38093 90132\n13011 76572\n36540 61012\n10648 67760\n33607 88345\n67353 72983\n82910 90247\n67341 84379\n45974 66388\n576 87328\n6329 22376\n2485 44093\n23139 60666\n78091 81987\n38518 85446\n36909 80030\n14161 99904\n38384 62123\n72335 72958\n72265 75834\n17098 39761\n15045 80166\n12708 42132\n23222 33472\n3747 27692\n46015 55065\n66691 80728\n31322 74426\n55101 55616\n62208 71480\n3289 37686\n38356 75384\n48230 52664\n14810 62174\n19701 74551\n31885 40127\n15175 42496\n37108 46386\n25186 88453\n66082 96042\n3137 5152\n9997 62231\n10508 41284\n21454 98079\n15938 59426\n26817 82195\n89726 95420\n28607 94722\n23243 95913\n86407 87837\n5803 68584\n36876 81584\n34946 55419\n9405 68309\n50367 85297\n31348 96189\n11 43065\n19798 65035\n29011 87902\n49962 93736\n65612 96085\n10069 59792\n30710 35927\n51322 90814\n41456 63853\n6773 87429\n47779 57658\n1298 75978\n624 39004\n290 47834\n14874 28572\n14076 31202\n45902 95689\n42707 86816\n67722 97736\n8513 52992\n32378 53120\n45564 51540\n50187 84099\n19783 66236\n72475 76148\n75870 79380\n42765 87359\n67836 74921\n8964 80090\n50181 50814\n63162 90688\n7881 44844\n64113 67515\n80892 85048\n50958 85993\n11077 32503\n10736 88973\n33878 71931\n43954 76439\n43864 46822\n46396 46482\n7119 46376\n12654 76630\n9077 83019\n41590 48264\n38545 76434\n44155 89412\n8322 56123\n229 50179\n40949 65929\n21163 30866\n69734 94814\n56635 91319\n36746 65803\n45299 63437\n2412 79383\n30450 31414\n6661 66477\n74044 91369\n28599 30346\n36081 55348\n10944 99418\n26645 75868\n22836 99266\n7352 40674\n1203 11416\n68507 96910\n13598 19397\n33590 65229\n34980 88133\n22621 31729\n77930 96541\n27909 51118\n81923 83660\n83697 85342\n82003 83650\n12298 44540\n10761 14130\n25463 87778\n64485 93408\n33940 75628\n23244 73794\n18889 66705\n1798 97089\n19894 57637\n6999 68819\n65115 80119\n69159 77347\n47539 65419\n95563 98036\n92114 96760\n1464 36603\n30568 57345\n8842 82759\n2508 74816\n59548 71790\n2005 25198\n56603 68080\n45397 76367\n15664 18605\n40742 98938\n36691 77227\n29506 31975\n17895 95310\n43307 54571\n16899 50452\n42073 53848\n10570 73279\n13792 15634\n6287 63321\n6879 75418\n15795 95061\n75714 95889\n4699 73052\n44787 57004\n43182 49675\n26992 72893\n24696 33138\n36911 55984\n39057 85475\n17745 28744\n12490 25813\n60321 68766\n75802 90176\n53229 92569\n168 75331\n8585 75528\n34708 35070\n21243 27655\n27432 36878\n44537 87467\n36820 94006\n21454 65422\n22988 68687\n70112 94685\n18095 27060\n26714 62797\n12523 39448\n74136 99524\n73224 78671\n9387 71418\n14318 85176\n80269 80663\n53898 75667\n70620 91796\n11844 99925\n90814 94622\n4805 51383\n72028 77886\n27362 49275\n48042 84272\n50854 78614\n26306 75167\n62891 98306\n68193 77268\n51337 93036\n1000 6790\n353 67625\n33395 90334\n43126 51896\n49256 75502\n53423 85669\n55101 66977\n33402 75672\n23313 65443\n767 2209\n34802 74385\n7184 74829\n6944 61257\n20231 94730\n22734 66870\n27199 60287\n60770 67684\n42923 80244\n26000 71072\n10054 25453\n14840 42329\n18395 65388\n13464 16382\n88391 96132\n34398 75337\n36547 65228\n20940 80845\n52588 76616\n20304 40977\n59123 82171\n57114 96330\n24989 31039\n69136 70938\n33312 40522\n31880 88209\n26995 59536\n40534 55936\n10627 61578\n9140 64101\n73906 96339\n39820 96592\n58005 65582\n24602 27637\n38861 97985\n4564 12629\n14231 87605\n31492 63623\n37514 65420\n52848 69371\n9186 89714\n16761 51493\n12800 67423\n25227 41022\n22747 49280\n69955 90471\n55712 88590\n49532 76978\n80372 85156\n38799 69190\n16960 44271\n8327 40720\n28133 42367\n59134 65561\n2849 87204\n27184 97584\n82474 94910\n20676 27336\n69605 88613\n3079 65450\n96705 97644\n10990 31474\n48194 57897\n39617 75813\n80130 87624\n8460 48449\n31744 82046\n3492 37717\n4182 57221\n23884 92855\n10138 59807\n13455 51492\n38627 68065\n31708 53350\n9164 96242\n5455 95820\n25305 33901\n63155 96280\n20725 55459\n42218 67975\n51657 86465\n28555 52619\n43943 58283\n55847 92116\n38979 92355\n42320 71208\n24930 62391\n65267 78341\n80048 92956\n61778 84810\n53711 87266\n40352 53777\n64139 64547\n7126 38589\n10793 76374\n53164 75286\n233 36783\n10466 27928\n62589 87491\n27211 93172\n45581 83728\n21625 65186\n60291 97449\n17134 69914\n40306 54666\n28318 57641\n69930 93583\n11518 79063\n51629 93636\n62052 93923\n38957 74468\n12025 12401\n56740 66077\n48881 58285\n86294 96120\n1687 3869\n44608 75617\n32708 80685\n66286 66621\n5245 39513\n34236 43100\n30875 96196\n4804 54956\n78109 89125\n28563 40348\n35014 52165\n45180 64137\n20189 43886\n3761 79354\n10085 80287\n47164 48001\n25604 96198\n16284 84019\n54761 79186\n28725 80483\n6792 88792\n40880 52095\n4758 95144\n58 4851\n29294 70970\n1099 69238\n74733 95768\n502 96423\n42535 65324\n77299 99403\n46811 64944\n11206 73830\n62129 81098\n17723 68950\n4103 53551\n59990 90912\n46220 51444\n13362 60315\n9039 60809\n51769 64564\n46809 97688\n61082 98543\n24820 78291\n29395 59590\n81145 97873\n5329 17457\n27072 36032\n17050 28526\n58029 77996\n86789 93266\n31839 31943\n13966 70379\n49096 68190\n2528 52564\n29951 68537\n11738 66766\n15362 50748\n2683 15422\n47357 49244\n61025 65808\n68218 97300\n3003 16751\n48629 71197\n50093 83525\n1637 48000\n52831 89893\n32330 61107\n60914 82126\n27279 33917\n2001 22782\n26169 69484\n82543 99550\n77653 89583\n1714 53127\n72114 76101\n10465 99493\n39031 49336\n20729 91212\n3207 11671\n11395 33697\n24340 77204\n8158 51810\n38612 51696\n9866 57758\n34628 87276\n18028 87860\n12825 42449\n41130 77280\n3183 44600\n25213 53544\n48518 99533\n239 20693\n38030 85905\n17687 87359\n68292 71949\n47637 56693\n68052 80400\n21253 70135\n49386 73353\n37307 48011\n42387 92455\n48625 48842\n49496 64376\n56925 60024\n16599 82951\n31056 67674\n2097 20666\n53558 81193\n6697 55754\n275 55483\n8257 90892\n13023 70613\n17828 25806\n33316 55630\n14831 24684\n9694 33248\n27737 52436\n42211 53078\n36877 83683\n735 40520\n92938 99836\n88971 93788\n10135 89232\n857 29587\n11773 58746\n49094 88803\n19172 54603\n16342 68430\n63828 79624\n15687 83082\n26865 98494\n18315 50598\n31398 71117\n33319 51818\n3443 39644\n13700 41389\n725 30982\n39425 67622\n54765 70789\n66922 89867\n13059 20136\n9613 23689\n23148 64904\n48265 84822\n14372 99781\n25323 25988\n10795 66671\n24797 54518\n23217 73594\n56340 89294\n29310 34913\n24166 46422\n33921 81506\n27847 42887\n60097 78632\n2198 3095\n14302 91293\n41717 42209\n79782 82945\n12667 87463\n1380 47172\n9389 65170\n35833 40719\n55589 74034\n54592 65916\n48029 65302\n79994 80488\n2558 92893\n26993 63398\n17240 20041\n38190 67815\n38741 72416\n72381 81391\n39641 67878\n43631 89781\n72870 77016\n26917 61618\n15228 32442\n2869 76479\n37320 92658\n5522 61280\n58497 69777\n34466 94662\n42446 70761\n26464 49733\n25291 78939\n4679 51597\n27198 75963\n17836 86884\n48670 78747\n48579 60711\n28273 41539\n54458 70490\n33696 82117\n25278 84932\n11803 28032\n46468 91049\n52986 79805\n46125 58543\n7008 91771\n51676 70635\n23129 72220\n59030 68458\n28896 74819\n21615 55483\n2175 52724\n15151 88916\n37577 54203\n62103 80917\n66113 82848\n26103 29415\n19838 90144\n10100 98686\n21859 77307\n63043 69065\n12901 76254\n53714 69203\n58925 76843\n11344 12404\n41713 58083\n20352 83183\n1371 58267\n56644 89728\n4614 43317\n18201 44883\n30023 84382\n31112 89675\n2887 58406\n3965 53616\n5444 41742\n1319 63848\n31545 64310\n88049 99869\n27515 81286\n81427 88323\n55144 92438\n67036 97795\n10825 24301\n61543 85660\n14258 68587\n71606 80426\n63 40479\n45649 66485\n9857 73381\n16152 24985\n64468 66853\n625 99950\n1462 8708\n47263 89840\n31713 47403\n891 27982\n30504 89524\n27761 54871\n22771 42803\n30723 92698\n25339 53070\n4304 12417\n3153 51964\n44146 99812\n60810 87268\n46906 99715\n194 18750\n33057 39076\n26974 74752\n8358 91644\n9463 36042\n40702 95790\n1995 90199\n4032 6416\n37742 72959\n56117 83614\n10507 64502\n34386 82078\n76229 89275\n46613 55283\n81498 90525\n5566 41956\n69200 77043\n24348 59611\n14698 91345\n22885 25553\n51081 60679\n43289 47582\n32005 36366\n71553 82481\n46857 76010\n39892 74259\n44774 45508\n32827 52757\n50345 89199\n24944 97204\n33712 86801\n5924 44287\n9185 54217\n34610 38592\n6914 80275\n6683 47341\n22790 53502\n56025 61970\n24606 58122\n998 35956\n13298 53785\n6812 76215\n44306 86664\n68864 87941\n52679 88063\n13124 75459\n10693 19763\n63383 92281\n47213 93249\n66048 76894\n11240 21265\n17474 31869\n78538 81135\n7964 30040\n41972 88806\n22054 33323\n77129 82728\n27598 97967\n20447 85292\n63601 64736\n36762 84839\n13561 25289\n53730 97736\n18645 43999\n17860 67285\n57626 63285\n36683 42997\n46647 46849\n19188 93165\n32035 32559\n65071 92732\n89700 98064\n41445 45834\n8737 31239\n14816 89377\n92777 99364\n14820 95370\n7774 74993\n65933 85221\n15449 92311\n18116 32395\n59485 82226\n41477 61016\n31882 68418\n65474 70511\n9846 61709\n62966 82825\n41625 85271\n29151 58291\n17931 87795\n9091 54535\n64912 87242\n50102 79252\n39332 83025\n49405 63762\n12540 83384\n14072 64272\n75296 89009\n25783 26303\n44741 78427\n65860 70158\n47606 92936\n20074 56229\n8402 37654\n90610 91808\n23028 83225\n3800 36832\n20491 75024\n16654 22788\n13614 69988\n9976 19815\n22995 52112\n22791 66445\n73277 85778\n11101 72012\n64529 91796\n18554 46857\n2972 78272\n26793 53295\n36923 91055\n3221 52261\n26538 86508\n29659 79551\n21737 81178\n46581 78440\n5468 15027\n37534 95367\n36438 91292\n56721 57092\n7356 35900\n11353 21769\n29069 74368\n25145 81525\n94943 98637\n4807 53987\n8535 86072\n545 90777\n16523 68574\n1078 45116\n6462 17501\n55712 70591\n22811 35838\n9795 50746\n27905 56151\n47340 96116\n47320 62250\n70824 94549\n57904 66611\n11615 25266\n72878 98807\n30335 86127\n10660 32441\n3988 32213\n25028 29874\n653 66340\n91784 95465\n48517 51684\n27762 92371\n62021 97025\n3806 4882\n16539 23297\n21942 80172\n84136 98126\n1230 1525\n44250 91211\n24690 66259\n42312 54761\n8049 35301\n5187 89722\n7895 30351\n39605 61996\n32721 77589\n22111 99865\n17938 81088\n37471 58239\n1883 74164\n38805 58885\n54209 81297\n8823 56789\n2894 8221\n19659 61713\n1627 94269\n13668 92559\n15026 57900\n13188 31927\n9040 72197\n19071 26908\n67632 94226\n35381 35407\n7019 91618\n13660 26585\n82190 84895\n11329 61496\n15424 46607\n19013 65175\n1859 86280\n53421 60862\n632 93447\n14377 37324\n82622 96115\n69323 77796\n37347 74770\n23660 25535\n19015 59492\n8736 48511\n1259 3487\n18340 25096\n55834 73584\n23128 44791\n10810 58170\n83094 86940\n19748 64026\n4821 62898\n9420 86360\n6122 66374\n3733 30257\n40975 52719\n6834 63151\n42168 64456\n31461 65636\n18430 88804\n20795 47586\n48889 91647\n21480 98184\n14734 86788\n7113 53537\n68193 71451\n4412 16718\n15458 58667\n22337 38122\n8683 97560\n55482 57740\n10840 61585\n87077 98523\n29042 70028\n73332 77869\n30371 50323\n45019 49233\n7972 20362\n6970 83004\n58126 73874\n16731 69273\n27370 75085\n23435 60253\n12155 49388\n11499 56983\n53155 99679\n1803 51402\n13066 84249\n15992 74235\n9873 51907\n62694 99330\n40514 84624\n50001 95065\n87878 92910\n20331 32087\n47614 99951\n59653 79608\n32947 98464\n57962 74301\n15359 20105\n38955 88244\n15300 82091\n31772 74288\n26911 83371\n42139 61847\n25992 62383\n64848 93411\n55376 68402\n19916 57040\n23380 43938\n8779 48719\n21972 30007\n50845 74647\n5670 35468\n14947 81646\n1341 55711\n14518 14760\n42225 75899\n35974 37204\n53667 76644\n4933 20010\n32393 66913\n9375 41497\n12975 29668\n80845 85166\n28663 97775\n29193 98340\n13523 66199\n4740 75808\n55207 87326\n33499 82416\n54536 89523\n15851 66601\n48586 94352\n72068 72443\n2848 65372\n28421 48488\n67618 75744\n14823 51411\n38033 45238\n14502 69346\n7522 69501\n53871 63499\n3564 29590\n67971 87319\n50134 97398\n42865 89273\n8891 11463\n11635 40680\n10277 99416\n8067 86510\n24668 44198\n32635 93320\n37655 58761\n54820 87857\n23535 96094\n68618 83510\n36708 93870\n10216 78918\n23166 59190\n82658 88540\n1946 72182\n38645 85222\n18531 85235\n7869 31886\n64859 68699\n18773 66935\n36736 75264\n5834 72713\n22982 61292\n23924 45487\n43733 50681\n61918 93183\n94582 96229\n92427 99991\n84989 99465\n37304 95276\n14436 30910\n6250 47342\n42211 49628\n6253 30134\n43184 46958\n6471 38754\n13562 95159\n54202 71101\n21456 49366\n10457 13548\n64517 70311\n5851 14692\n40144 66322\n29663 42107\n6724 78509\n3307 6756\n49851 57587\n9404 63991\n6457 97399\n25180 49919\n24234 95563\n33079 80406\n39276 90705\n15896 23446\n14142 14286\n11320 63982\n58505 92821\n1798 70055\n8238 46354\n38469 50182\n10699 93221\n65431 72955\n72674 95873\n40944 92564\n22801 39612\n5851 37475\n42270 70499\n80133 99035\n29434 69123\n32141 40043\n61506 83430\n38077 39360\n556 13602\n9640 35204\n45189 77869\n12329 22755\n2324 90993\n50137 97480\n2331 94692\n24354 24664\n6318 70706\n14396 94513\n11386 43076\n35642 56324\n13411 45866\n60835 66557\n8737 87521\n67275 87350\n94500 94804\n33200 47444\n2667 34186\n7059 61478\n29201 35893\n9386 32938\n21776 64937\n41260 93838\n7015 78691\n420 28586\n41660 64861\n18486 51947\n34508 55329\n13361 80670\n3889 70867\n23150 78205\n21327 85259\n82881 85845\n47981 56742\n76432 78918\n80316 81271\n31705 91288\n24398 69686\n72956 99120\n70378 72103\n12266 47576\n18476 50243\n15821 46707\n54524 75613\n24332 73527\n27665 71050\n78662 87614\n2406 52494\n12606 49240\n8144 21979\n50743 84283\n38107 55071\n22214 68588\n9851 74037\n5557 14875\n29374 31356\n3018 56596\n64077 77739\n42080 82602\n43672 95763\n22796 75246\n64358 79921\n15793 38000\n12411 28062\n34874 95981\n14658 14901\n23728 39502\n86271 95963\n64982 76257\n35635 95308\n44237 91753\n41153 71650\n6753 44250\n90654 92557\n53608 85375\n9326 38009\n4202 22268\n42316 71412\n11973 30314\n19207 34635\n3976 55034\n27931 36602\n53938 55396\n23353 95744\n87828 93360\n20111 23361\n17180 18116\n38034 52372\n77562 81715\n38257 94887\n6388 98031\n365 23315\n50255 52980\n46460 55892\n33542 78363\n50502 73207\n64656 83721\n51613 67644\n16132 25735\n32206 46324\n33658 90866\n88229 99249\n6933 92221\n80261 98264\n43692 64209\n3117 63016\n13151 45903\n15317 41912\n2451 20159\n29085 80458\n3318 91384\n9960 10255\n26013 99748\n55275 83782\n59621 94532\n39903 70071\n58809 75335\n50469 79334\n14029 47425\n48269 74527\n34513 89987\n24219 76752\n24091 28446\n52085 81357\n36442 52235\n1410 11898\n71350 94309\n9975 13713\n77077 79028\n28310 44667\n82978 94268\n24667 67173\n42223 87586\n32172 32629\n5715 52715\n98365 99215\n22906 30709\n49044 69029\n314 76600\n35664 88826\n55608 63101\n44284 90224\n73316 90367\n5139 75126\n57832 73110\n68030 86530\n30438 65819\n56377 68457\n44605 84433\n20511 29629\n17718 93776\n12611 62969\n2477 46205\n65684 91996\n14902 82618\n56826 97066\n4517 11757\n19306 95112\n13626 91718\n38165 61063\n48449 55244\n3012 48301\n538 91687\n3555 69810\n23273 49728\n17117 60164\n45198 73618\n68770 83183\n4704 90567\n18840 47993\n40939 60829\n1692 20139\n68831 79347\n2061 77467\n41090 83991\n73218 86995\n20396 66389\n47042 60749\n18122 53147\n26726 89084\n36494 96321\n49587 75478\n4367 27849\n6643 79115\n77521 86265\n60425 90047\n38278 66853\n5192 25015\n39466 72505\n7689 45060\n2334 4393\n6407 42132\n37922 77467\n54441 96907\n30075 60442\n26578 75020\n17395 79862\n64467 67825\n22693 71478\n16618 19688\n55041 65457\n29845 53453\n14880 28261\n13773 88675\n66819 90386\n79576 89666\n39816 84538\n12622 34029\n85274 89899\n16728 62123\n5892 12484\n52700 82027\n85218 89175\n47455 56977\n37496 62083\n11966 51949\n69647 78816\n32403 72955\n86501 88782\n33556 78139\n47362 56812\n66044 89517\n14740 51855\n10395 13619\n27822 40843\n63331 84635\n24750 27089\n22584 59185\n18790 92259\n19172 62050\n5248 58196\n53110 78152\n36575 98483\n13343 64969\n14598 43505\n37572 77174\n44260 90880\n19465 19480\n17955 56455\n30035 33733\n8169 48754\n30205 60739\n72725 98926\n30143 58363\n18048 35244\n60119 71382\n87337 98769\n65481 90661\n51534 74107\n38866 87284\n28642 84581\n25222 39865\n49550 72917\n34852 63082\n23784 53550\n75051 94185\n6446 47538\n14190 49267\n32832 79760\n5913 88055\n5141 38684\n39439 70218\n33698 33866\n34199 36368\n21274 62811\n4680 60229\n57475 90680\n14894 15231\n541 36582\n70923 73898\n32798 81455\n15523 69268\n34314 83140\n3635 49740\n18352 44004\n27533 52344\n1970 29115\n36627 78668\n31467 75840\n11288 84682\n45631 51616\n10172 65240\n42165 57653\n46890 80169\n607 28396\n52088 81788\n3915 18498\n39003 41625\n392 52369\n14541 49140\n15032 37880\n5661 44969\n3690 3839\n47650 57397\n50106 70081\n84612 92940\n16319 98979\n2183 72256\n25733 49027\n34698 35818\n4404 59042\n70952 94454\n38282 42992\n43159 83959\n45519 74342\n66857 72026\n61010 83061\n52690 70639\n4237 38949\n49627 59516\n34002 78432\n43648 94113\n55536 59295\n43595 64848\n94382 97694\n85236 91469\n26337 66083\n19577 40651\n39426 41483\n24092 96328\n22017 80783\n13542 97957\n38586 84204\n82563 99509\n30791 83449\n24173 89676\n16549 40736\n5331 91504\n37420 87634\n2649 63849\n11355 17347\n37601 73778\n69862 98717\n1779 84540\n32069 85967\n17162 80654\n71252 96694\n46620 73981\n37920 91464\n7490 68679\n47864 49671\n18268 81709\n15356 52075\n5557 35082\n90767 94868\n49199 55827\n6804 73081\n53679 72169\n9463 58581\n3089 98996\n9424 60302\n19479 98330\n69221 98001\n10613 14608\n74352 75546\n47789 77754\n34798 91989\n23841 98224\n67805 68718\n62316 72130\n90744 97603\n11604 13821\n33793 41983\n1650 51278\n37303 42217\n542 40899\n44500 65354\n69506 90022\n27952 28117\n38418 70121\n39860 97729\n30331 57278\n29950 57844\n76410 79448\n34025 71934\n4130 77644\n3769 32006\n29456 42322\n39999 47129\n1974 48952\n40792 80547\n72119 79638\n63136 91559\n38772 69367\n18812 90251\n37104 89736\n7786 32298\n84454 96133\n9159 28091\n30212 79075\n8849 28524\n37775 50958\n21324 88521\n8746 37264\n75858 92745\n5245 55304\n47225 89904\n26773 62436\n28151 72462\n67799 87414\n17079 56931\n23430 82614\n62964 88238\n22000 99227\n33156 33701\n47778 87937\n4144 11714\n5224 62034\n4284 68509\n4460 25912\n15750 63180\n49692 64240\n18084 65368\n3853 34601\n4107 49674\n1860 79171\n76764 92192\n46923 60170\n79382 98934\n34341 96380\n34956 86810\n5852 77137\n36589 98224\n19333 71003\n44847 66393\n15886 84814\n498 1871\n29871 44249\n60187 84786\n35038 55584\n41774 44287\n56025 83434\n18417 89011\n25540 89954\n64451 92532\n16616 72675\n18787 19964\n29014 60436\n490 30751\n9814 69049\n7307 27140\n58322 72923\n13458 72039\n21928 47843\n4438 47064\n694 96120\n5590 84054\n5583 97594\n9616 27585\n22513 35963\n35533 59199\n16985 86444\n22023 43084\n1469 70668\n972 21451\n40138 72050\n6011 85198\n4082 99556\n29405 42780\n562 50541\n42109 61815\n76700 93183\n53195 88422\n66836 76773\n23082 60979\n43181 85596\n20324 36038\n68631 82694\n5060 37598\n56922 68628\n70586 87025\n69013 92968\n28782 74674\n67486 80459\n65073 95799\n30586 40199\n59850 97050\n78919 88439\n19266 63331\n19018 96923\n41764 73492\n58784 62984\n12270 41258\n53759 81116\n65332 85166\n38419 69995\n64830 85391\n39540 45078\n2597 91920\n2438 76196\n7955 17305\n69493 93877\n18867 77489\n8675 47215\n36090 58704\n42891 46283\n35223 54924\n33020 49932\n8194 10069\n75424 75646\n26895 81022\n4069 37674\n5791 53574\n39088 42000\n63005 81877\n3293 99089\n33161 99761\n5106 83194\n2829 14195\n33707 58959\n41161 78865\n33505 98658\n21505 28247\n8245 99999\n58883 82147\n12492 74551\n50597 88805\n57756 83674\n32872 96252\n65331 97692\n2076 36821\n36141 38204\n15239 25309\n55070 77124\n70984 97991\n42372 76245\n2722 21980\n56338 61382\n509 95054\n27505 92175\n45604 66952\n54472 69623\n73616 83134\n55461 94443\n77760 80112\n194 34874\n2951 93118\n54037 85590\n23891 47226\n34881 64322\n10364 53203\n58612 59438\n15942 68884\n87065 99954\n64404 72192\n7775 57697\n25216 92257\n22559 69431\n14931 96068\n737 9858\n44475 84566\n37353 62995\n61838 80550\n86016 90950\n71937 78764\n24530 35584\n39652 98545\n325 61151\n5643 21583\n39795 45362\n11077 31546\n48726 82588\n75840 81772\n12922 42030\n66860 80555\n50703 92428\n32816 60937\n48620 61835\n14794 51824\n27685 73424\n86828 93233\n16170 31514\n7663 16176\n47246 96138\n800 2226\n12911 74067\n12926 26407\n67615 82978\n59855 95696\n22196 29335\n55921 73630\n395 33129\n35966 84549\n2501 45250\n36914 46539\n49595 95680\n82798 82842\n16167 29923\n46806 62383\n75850 82557\n19160 40986\n85450 94104\n17413 38032\n80713 84775\n79690 96836\n39409 62324\n34421 88224\n7708 90914\n25549 51719\n13165 73538\n40321 51003\n29486 67867\n21134 22265\n48459 68233\n5342 37799\n6913 78803\n53533 63279\n28399 50031\n41707 63934\n18328 72399\n9192 78290\n15233 58523\n54654 84058\n40930 88045\n60516 70655\n30015 91215\n53938 57321\n18430 87855\n88407 92686\n47934 67743\n3363 39078\n44212 55245\n18850 67837\n4820 98810\n23779 74673\n7901 17390\n9106 33343\n47082 84025\n2664 73816\n65457 96653\n7562 89258\n69509 99856\n42694 56473\n94131 97188\n57539 86782\n90014 93370\n47069 88387\n63449 92570\n27952 45256\n14832 77698\n19391 67930\n71570 80610\n34332 44029\n28613 96893\n74391 92124\n9257 30730\n45792 50513\n42150 89003\n25830 26907\n55751 67469\n7647 54308\n1081 10713\n46230 90397\n49678 62183\n42658 88378\n48738 84358\n50042 77591\n51480 95143\n3328 32102\n4884 68685\n41173 79627\n74255 95083\n22037 34056\n3382 67272\n16319 54492\n31990 97592\n70793 92745\n20467 56811\n23086 59091\n62274 88308\n78589 97375\n33752 84980\n17481 77730\n15515 46323\n52447 85758\n15595 32664\n43745 75435\n30285 72387\n69559 85319\n61749 77305\n4383 91961\n13835 43374\n12442 40470\n66488 94669\n65802 69675\n13292 54628\n27291 98520\n23349 29758\n52701 89362\n22541 58455\n74026 97213\n24948 67866\n5241 15599\n1172 98093\n44054 45558\n2788 22864\n50532 86308\n23207 43146\n28571 58037\n59484 96525\n50732 53708\n69502 82373\n12152 45995\n19431 20184\n10172 48604\n17083 99191\n24612 42686\n53813 65776\n53192 75219\n8141 24051\n2214 23350\n25636 41663\n6807 76831\n56505 88962\n72065 85067\n51629 86800\n893 52063\n1792 55580\n8895 22008\n16353 61860\n28322 68327\n17661 55660\n3656 51998\n59111 67932\n51833 91375\n64453 92406\n65565 68496\n2527 45949\n63252 80344\n20092 80379\n8201 91738\n14834 18632\n12791 99456\n12966 35437\n11266 73885\n17259 28832\n24031 35332\n6652 22553\n42523 88005\n48460 98561\n54400 61790\n13816 63993\n27099 57213\n21764 75979\n84823 93322\n71523 76635\n20529 84140\n2518 31899\n6705 17364\n41457 42564\n45664 59811\n39786 45864\n23208 38104\n20469 64254\n1332 21553\n51423 81918\n73140 99267\n7167 35077\n23853 30724\n4592 51207\n15964 37237\n12849 27700\n12259 79723\n33834 99097\n10970 85650\n46687 68694\n56155 94924\n78274 88039\n26528 52782\n15358 71341\n6117 67875\n51035 96717\n47253 66161\n12874 73678\n91167 94564\n81472 87129\n53680 98478\n56460 73647\n54199 71808\n13043 95454\n30594 97487\n44132 52367\n45 47874\n1514 8242\n65652 97310\n26471 93018\n18599 23979\n50210 76402\n69358 99052\n26437 74035\n48226 75994\n52649 59390\n2037 73495\n44278 89723\n20778 26003\n15873 43169\n80329 93223\n17513 58585\n50039 80266\n52166 60638\n10195 53555\n22211 89736\n14433 79880\n50102 51990\n69711 72570\n12010 25326\n75400 98310\n12406 81245\n75904 86643\n40209 80965\n19551 76784\n4066 41880\n22756 98155\n33725 62790\n11646 61658\n62357 95792\n57114 92939\n27745 88849\n23332 59398\n2037 41933\n16182 27990\n26832 75245\n379 7249\n35566 83583\n41701 99462\n30776 94209\n17562 55559\n80680 91215\n1682 73827\n17127 75951\n36319 84891\n25737 63311\n51863 61688\n36548 60661\n20951 79456\n13503 32367\n71107 77262\n49836 66101\n5410 44448\n14720 36019\n1633 17964\n4504 61182\n22889 49486\n80483 94201\n22393 62015\n5027 48652\n33692 87619\n53577 86820\n40942 56268\n29011 93947\n306 34954\n79637 83524\n48325 81907\n1451 78778\n14221 58944\n33085 45092\n43392 88335\n21346 23967\n1779 82200\n18631 82245\n33773 58839\n9452 89800\n11457 52733\n22636 37391\n74703 80496\n30079 31310\n23651 48791\n5644 17262\n16509 33789\n27157 96755\n50014 72139\n59142 64917\n13175 99276\n255 30140\n6265 55188\n13062 27032\n57257 85294\n35838 77510\n2594 41281\n63298 78734\n14753 46477\n51897 91005\n20334 78329\n30900 41693\n33155 46781\n37788 95765\n32562 98735\n4675 44653\n16262 21015\n1759 20337\n37835 71895\n52311 84461\n18340 64060\n17988 71277\n3206 98253\n3982 89867\n26922 67215\n31367 97110\n53904 97207\n30990 85308\n67001 82983\n59866 78000\n23600 47964\n54773 82601\n10300 79373\n32046 74497\n41064 97275\n26292 98026\n18411 81587\n16571 55218\n7980 18025\n86721 96944\n26710 80766\n21136 29075\n86163 93497\n34942 78029\n72007 91233\n10974 37398\n26300 51500\n40463 64074\n65209 81121\n14099 91268\n59446 81143\n25010 60463\n25129 93436\n81809 87950\n52134 88643\n65896 97317\n21322 86660\n94025 95745\n23692 79114\n54085 62839\n2898 83459\n77060 88103\n10574 67026\n69984 93769\n63976 96549\n60708 77004\n51750 63912\n28451 81862\n32493 46652\n11719 28746\n52938 61543\n4128 13833\n11964 82949\n33184 98773\n23080 92423\n17538 63610\n35510 52904\n3519 97829\n62794 88335\n31936 79844\n38538 62303\n38251 62059\n8861 19139\n35347 95903\n97256 98129\n17560 43943\n3027 45709\n13417 77443\n14063 95355\n26573 29297\n30556 34864\n43271 53269\n7561 61516\n51235 60579\n70509 95516\n23361 83833\n61441 78700\n5944 21588\n47657 56016\n66570 79418\n26586 88004\n4873 60178\n65098 89169\n18483 50589\n1582 91193\n90747 91799\n16181 98225\n33256 79492\n41881 53420\n18594 41121\n66153 66981\n76494 84011\n689 46502\n47268 55571\n9329 24032\n3058 23293\n4102 65304\n2198 86954\n13728 16561\n37321 61217\n48469 92496\n85976 94793\n27793 85812\n31509 51798\n7019 17987\n52730 72742\n13266 26214\n2482 74256\n431 25048\n63693 95026\n9282 22490\n46751 65789\n12153 76408\n35110 73745\n95093 99090\n9493 40598\n28591 90202\n41993 96567\n53792 57584\n37706 98836\n55520 61026\n25330 90027\n33432 97757\n37042 68289\n48289 72962\n26121 92856\n51215 59181\n54528 94062\n34020 48983\n79689 93023\n86499 90844\n40211 69358\n10594 24753\n51681 77691\n17013 63395\n18341 33313\n20634 77911\n4594 43876\n34373 59879\n9901 60785\n50846 55078\n30714 80866\n3245 58273\n30138 58787\n24457 70172\n5625 98869\n19594 60621\n36250 60160\n39659 69513\n4886 83908\n39771 82959\n29656 46655\n47452 77508\n683 87303\n45108 66344\n16606 77353\n24133 40562\n47893 59725\n46644 73564\n1888 32624\n41671 75420\n37471 58118\n7867 96426\n49699 98392\n62718 63342\n13391 74139\n5279 98764\n41027 80086\n20611 72305\n13342 70196\n2755 27674\n12553 50398\n2442 8729\n58622 73237\n59331 97048\n55127 83891\n35919 45766\n56169 91700\n21151 92107\n30315 51120\n18894 67539\n48918 76153\n32136 86982\n1923 23442\n27260 83033\n5460 44843\n60144 62560\n33094 76978\n13096 34521\n47038 59132\n53269 85496\n29067 38982\n70766 85617\n11964 82001\n7550 33540\n64253 91422\n3906 74174\n74195 87766\n47528 58767\n53217 55822\n9722 32108\n50734 74236\n30194 55090\n31626 75372\n2685 60986\n39673 71271\n43222 46466\n83806 86195\n11886 59235\n15675 49316\n47387 74698\n69634 80829\n6835 27851\n61858 85346\n24832 25672\n19266 59247\n6365 66552\n52887 93178\n38967 76126\n7770 27346\n6862 36030\n48857 79887\n64257 71371\n43731 81570\n8010 74584\n29734 49785\n95304 95885\n303 93077\n32792 97125\n30635 74912\n10281 86839\n87398 97097\n21528 96290\n32226 44111\n17113 89649\n1088 77146\n28553 50182\n30044 41194\n33679 99634\n83831 85245\n49987 92305\n10455 44371\n19611 46300\n12127 80047\n39429 64337\n30790 53930\n43447 64488\n33135 37158\n37799 57361\n41270 43456\n22753 67892\n30851 34036\n31136 46444\n8336 51588\n14647 24051\n44468 76229\n28334 79647\n6664 36269\n87477 96217\n78017 79556\n15793 62874\n82796 96710\n86063 93445\n41310 69922\n68381 85021\n51967 58719\n44533 67306\n4284 78303\n34004 39681\n45042 55703\n44973 78718\n4882 35727\n27844 96145\n45573 65918\n10069 24347\n11782 21246\n31211 36785\n62989 98442\n71534 89148\n23817 87649\n24421 81015\n30356 45311\n31815 87042\n19706 72005\n28043 96598\n38651 41129\n39387 83304\n20013 65561\n40045 51663\n23545 67056\n22180 74505\n16279 48386\n61981 69041\n13516 78712\n12868 18964\n3208 3522\n50656 97311\n36346 60608\n50989 76247\n36472 91222\n38820 66060\n56363 80643\n25116 67396\n28237 88235\n7485 44899\n4784 52092\n8804 59794\n36382 57862\n13685 49768\n2955 44532\n51196 71863\n85700 89392\n51597 73042\n55815 83528\n961 48013\n9376 62703\n44599 98045\n22077 37926\n61683 92581\n23639 45304\n30069 30885\n38822 69854\n6782 16307\n38629 67671\n25051 76690\n1161 28651\n23356 28104\n24972 75216\n36195 53634\n51235 96264\n16444 54637\n46954 55246\n8356 44811\n79251 85445\n17150 89044\n22590 33202\n39755 99013\n66263 83168\n7349 21425\n39390 62632\n19977 84790\n2883 37948\n48927 76398\n8944 85988\n25316 71952\n39470 62644\n41649 51824\n77939 88448\n50852 60118\n69420 81153\n38790 65865\n87996 96704\n45667 96880\n52314 61971\n81469 92187\n24242 78422\n37224 70781\n9477 74885\n69206 99235\n26954 91331\n22454 29999\n22123 31726\n26963 78040\n10151 93694\n48607 71843\n63023 87430\n4050 45290\n29846 33338\n11449 15537\n17080 44496\n2622 8020\n1564 15853\n6543 74113\n45504 58594\n18108 42032\n29877 67299\n53092 82632\n43330 97903\n40146 70196\n86185 95548\n59217 72839\n3747 4707\n36806 50245\n16401 85255\n9276 53955\n10389 50260\n21988 46778\n68033 88011\n13430 55472\n44289 70121\n25408 99498\n25780 47834\n46950 69847\n40486 92957\n65349 80298\n54843 90995\n26270 39770\n32751 40261\n21887 31800\n16078 24479\n31902 62970\n2832 98938\n39710 44110\n62585 82482\n18558 72341\n42334 57050\n19203 67059\n7272 90060\n1000 21667\n46031 78881\n49086 53945\n47594 62009\n70603 97933\n4660 60164\n12021 23967\n32346 98016\n50493 52101\n40151 87058\n1138 94548\n22374 53554\n2539 7054\n55326 85339\n66720 71159\n30891 44729\n29452 29963\n28185 81395\n66266 98345\n46101 92202\n77697 86816\n2090 43475\n29409 70658\n21305 45362\n8682 15050\n21089 96568\n227 89537\n18554 40585\n55602 82336\n11203 60935\n82571 92243\n66945 87415\n11324 88443\n46422 99306\n28379 57867\n1246 27296\n33613 33808\n1156 59008\n39677 76554\n4589 22458\n78310 90990\n37140 72733\n83845 98939\n10840 80233\n56317 61469\n68606 99826\n1695 90482\n28942 63127\n24561 77865\n26212 66197\n42221 50953\n71322 75033\n6366 33496\n74740 85480\n22854 61721\n63328 99845\n75519 81522\n57301 78416\n67435 79460\n8485 27596\n52962 81806\n17065 45235\n30985 42259\n16595 41721\n39247 94434\n24181 54992\n1001 15337\n16962 63327\n90737 91456\n29811 55963\n64690 78587\n2621 49155\n14271 82669\n56601 91792\n26978 40255\n71767 87512\n4183 69408\n45769 47920\n29178 98203\n18562 97105\n27196 38035\n73363 83542\n67023 81030\n75272 92297\n78595 93170\n2727 81077\n25976 87353\n65105 68924\n43611 44202\n55698 75794\n43750 58730\n10279 29402\n42385 77739\n14822 77553\n57455 80404\n59671 94780\n67647 91599\n112 68815\n19441 34874\n11583 37896\n8837 51236\n52758 75258\n36160 46274\n69826 85810\n42635 58442\n34399 64725\n57646 81175\n58131 66924\n82847 91224\n59593 97658\n8601 61804\n32079 94836\n57368 75526\n36976 73619\n21676 94157\n11889 27721\n59183 74773\n14978 89991\n39072 59232\n3155 17414\n37238 39341\n17082 51143\n23136 23555\n23258 84963\n22202 57198\n7967 62245\n54386 67546\n38789 43620\n5032 29044\n12018 24183\n61391 68201\n14312 70029\n62144 70601\n5615 26730\n54320 63707\n55897 86137\n62452 74532\n55867 68024\n49961 60588\n73924 78608\n42628 80078\n5860 95131\n4108 96835\n7573 34300\n37211 97532\n2266 21370\n11666 86334\n48784 73132\n3077 18723\n20637 22123\n82944 87014\n21186 98486\n58410 93287\n2362 98720\n30392 95394\n5432 80180\n6884 56774\n134 13906\n48008 65301\n73566 75948\n49589 90620\n48535 83916\n51629 86908\n8675 64817\n31297 75865\n18157 79116\n51406 85306\n34359 47752\n2301 67716\n15162 65465\n3448 67004\n11387 62659\n9641 38061\n6955 84698\n75476 94211\n7006 27871\n959 65998\n50938 87048\n71898 80172\n7314 64528\n30386 51745\n477 88311\n12110 17492\n10630 86431\n56625 80648\n60961 77055\n35193 44517\n40675 71155\n26430 44845\n25804 66457\n33353 51518\n65367 69911\n1283 49627\n55158 70735\n67027 80180\n31099 93422\n28544 81744\n11266 32780\n24815 43281\n13714 47925\n8526 84130\n50255 53810\n22521 42838\n609 47625\n48276 90613\n13542 32028\n83489 88941\n1829 37977\n19755 98422\n3955 89676\n2256 8546\n15689 57149\n23032 32018\n24263 40709\n39548 79283\n34377 80312\n14845 75829\n32598 68439\n51390 71040\n97255 97676\n56480 71984\n46329 82444\n49886 59981\n44122 89797\n15588 59197\n54167 65502\n315 40465\n41682 52952\n47795 70992\n27552 83740\n84865 95213\n83992 98339\n27850 93503\n51547 52354\n52415 87876\n68263 93364\n37978 39894\n7051 30456\n29831 57171\n4887 6788\n13896 36132\n14758 63150\n6935 63943\n45332 69058\n17064 24324\n45249 79311\n26070 76323\n3313 76911\n24351 37856\n34589 39679\n31535 46853\n15765 50390\n5179 73719\n21690 85456\n74956 97382\n2371 30597\n32036 32053\n19341 38612\n40463 57160\n23004 95792\n39272 98987\n25124 79464\n69707 69918\n60565 74821\n20413 67848\n29528 45544\n31728 36017\n11999 22301\n305 93564\n52049 96068\n29297 74145\n6727 14034\n26663 65593\n20958 87902\n69619 98596\n14385 46848\n47853 76938\n82640 87332\n15683 31063\n21192 34927\n20140 68808\n79205 94492\n62254 72598\n496 57598\n7001 41074\n82962 93358\n6503 57194\n40349 43695\n46292 62746\n42488 78478\n16119 94520\n29500 74098\n32064 92230\n3120 11851\n23813 45841\n41272 72171\n34193 74677\n73344 90406\n64655 92469\n82543 89774\n29994 47658\n39407 57823\n3366 21695\n29428 84919\n29869 87498\n3695 64728\n2030 59007\n74435 94272\n591 49768\n16008 53670\n31441 39416\n29209 45570\n8266 79746\n15973 42646\n71544 86181\n19531 28771\n16061 42885\n23643 33949\n42473 68374\n59451 81153\n46160 88714\n2547 82454\n16162 52434\n56986 74474\n44958 74224\n36497 37039\n66166 94723\n36624 42527\n84223 87746\n28274 89745\n2386 51977\n80081 99414\n45674 98093\n47433 88448\n53493 76442\n14506 80808\n50165 94360\n27340 76849\n38985 69566\n27093 36921\n11098 36779\n57336 81374\n59572 90098\n33199 97339\n86111 91660\n46162 68409\n1847 27189\n53330 74208\n32206 78844\n55401 66725\n39883 47013\n23523 24323\n43534 54945\n46119 70939\n14356 34177\n14189 27063\n15211 67583\n21046 63060\n12048 70724\n78239 88895\n122 22537\n23602 88742\n34276 61515\n7592 16545\n743 83687\n5727 39751\n8512 24264\n20392 70440\n46405 99219\n50271 58209\n44210 54051\n11586 82273\n262 34100\n12385 86466\n1727 24139\n12174 16033\n27978 67127\n54811 65112\n29606 70492\n49876 90175\n40390 69344\n45460 86564\n34024 54723\n29926 88521\n2247 70985\n35742 58088\n29768 87087\n34072 45034\n15130 53137\n58328 69979\n25504 50998\n45594 74315\n4573 86276\n51524 54363\n2296 61272\n72712 88987\n58714 93069\n40082 45205\n18200 90261\n84057 98222\n8169 49793\n59601 94080\n76533 90426\n6553 33206\n45856 59800\n29381 77484\n36473 83122\n54473 78337\n6325 24614\n11476 85483\n14630 98479\n25 56363\n66359 91029\n31501 75911\n56319 60984\n48398 97802\n30366 66265\n3916 44217\n19387 38505\n62236 88731\n65128 87115\n38045 95907\n2724 44224\n50612 63835\n23785 43399\n20544 47132\n53636 59779\n15300 56862\n73455 93021\n37349 89868\n37155 67405\n59228 85523\n63167 83622\n30125 95112\n15208 87371\n23474 66761\n81978 88524\n59083 82089\n28057 58360\n30344 57650\n8823 87635\n39548 46680\n3526 36520\n32569 44422\n50039 85335\n34108 56998\n31602 34956\n9262 30901\n73730 77981\n2027 85910\n39128 53440\n20096 60428\n30735 79363\n25360 31992\n41110 98775\n71644 83978\n9707 62963\n35374 74695\n39650 51077\n2534 40092\n78760 81686\n60844 77594\n10366 10794\n14717 61635\n66714 67551\n13045 58246\n76098 81253\n42149 60390\n2539 38092\n60556 95713\n17993 46363\n14624 18570\n10637 63357\n14177 99566\n34587 47669\n4717 64047\n52194 68284\n47992 82086\n53047 57535\n56390 62628\n13153 76641\n42027 51099\n23539 54996\n4007 28569\n28029 75898\n4895 63381\n12631 13922\n24308 36891\n27969 44124\n31821 64126\n74551 80155\n4172 90184\n47534 48586\n34296 40055\n954 88591\n52430 83233\n38632 40315\n7716 15283\n24329 25742\n21229 60254\n9026 28460\n9949 16205\n4232 94864\n28055 84425\n31181 77276\n15931 35165\n24675 32025\n22387 85822\n12612 65256\n46072 50919\n11009 39505\n74050 78200\n13881 63883\n24316 43338\n4019 36197\n32788 86051\n4756 86132\n42676 73089\n49245 84680\n25195 66410\n3686 80797\n6593 92940\n20257 76805\n38743 52880\n48932 72234\n46783 65341\n17981 95465\n54057 72799\n28015 93449\n44385 69158\n10309 69488\n20807 91005\n83482 99538\n47590 76886\n34390 83972\n30665 79141\n71976 92939\n30331 67097\n63458 64274\n19139 21110\n19727 55240\n62604 64450\n13775 59825\n5652 90466\n4095 88912\n46534 59717\n60512 70752\n61488 89152\n44141 59538\n8664 9258\n37050 81663\n17581 34434\n28971 52730\n80609 84916\n59222 95392\n11313 26697\n28095 96902\n73817 92968\n27991 44201\n9923 68799\n10664 92439\n59258 83715\n20312 82472\n748 31663\n21549 89558\n13687 51410\n32731 55158\n31957 64125\n40016 98723\n22867 38441\n41549 75462\n24286 77156\n20891 21800\n10214 65723\n29007 53250\n78033 90760\n41196 89509\n2580 57798\n40312 64295\n60791 96011\n47757 53421\n74262 75352\n13854 58898\n32199 61039\n71294 81043\n10399 88390\n7742 76683\n36822 42011\n44576 66853\n45996 89703\n8766 38575\n77686 86884\n14267 76904\n1394 71859\n54300 83882\n7381 87086\n8439 90370\n2919 86236\n50618 52154\n56542 98182\n9176 40064\n70454 84840\n47179 47817\n14650 38835\n17817 48985\n20129 56562\n25599 71179\n87923 89956\n12973 26619\n17796 94383\n38454 67061\n61732 83877\n22769 69793\n8022 59548\n30900 67972\n8637 74578\n27672 85207\n9983 53828\n35050 93572\n6023 48642\n14242 25832\n12140 85117\n40289 44914\n21670 40849\n26287 90725\n31335 36014\n69392 92316\n3749 14947\n85848 96076\n56502 71295\n41478 54924\n65617 94884\n13687 70538\n1910 38380\n5724 72070\n4749 9408\n51372 69690\n22017 85443\n19913 82074\n61491 95496\n6377 96175\n22084 55538\n21259 27820\n31831 99639\n37398 67946\n33313 66387\n74217 82047\n2889 99715\n5456 33417\n8400 33740\n46007 72405\n12944 57423\n41210 61771\n29960 56072\n21888 59275\n39713 95724\n57443 95997\n4923 39296\n90915 99729\n316 2306\n24398 82732\n46987 51248\n50314 83237\n15179 96596\n45050 92671\n64970 74449\n76225 87162\n13638 98803\n13386 77572\n17530 99142\n20660 31515\n21175 61291\n29001 58541\n38549 95297\n4293 62674\n42477 53124\n38353 73012\n724 6827\n24250 63130\n3669 21578\n27717 81805\n16997 52659\n33425 62155\n50696 55175\n35787 89767\n52352 75607\n1263 16975\n8903 75113\n65081 98048\n46080 89423\n64497 66977\n42434 92214\n20640 55989\n27096 55256\n34172 43381\n32306 45477\n47595 54138\n837 84549\n31398 98048\n32514 62490\n1323 1908\n13121 25325\n1046 25539\n11768 74506\n78991 94666\n49747 95408\n48125 69203\n45752 64545\n31238 61167\n27568 28199\n38809 53192\n88304 97974\n63452 93649\n52785 71935\n20278 65670\n49733 50617\n871 70328\n32905 88354\n84377 95892\n41145 56023\n9548 86853\n5854 89584\n11976 55855\n86606 92969\n23072 73435\n38195 56475\n9940 84817\n35024 95592\n48339 65320\n36829 84570\n28139 95512\n42176 89812\n9794 10640\n7234 57078\n30186 60556\n32861 97065\n14257 21442\n1899 20528\n70200 75692\n57601 57789\n51147 78421\n15721 98607\n49831 97958\n57778 61284\n47717 68695\n13296 42714\n13543 32278\n39765 56348\n73956 74964\n3724 27471\n97726 99125\n41062 98798\n39552 61592\n38321 88352\n33265 64277\n13541 67082\n15212 19546\n13395 82639\n4154 51497\n32081 91311\n1714 67401\n63420 68597\n38694 98174\n39411 64709\n35693 74267\n40291 68064\n63315 70642\n70557 73579\n13024 19863\n70356 94827\n36919 95959\n9081 77678\n50730 67670\n11118 77062\n13442 59619\n21938 69278\n35429 97074\n23994 62983\n63410 92354\n14116 78132\n48820 95639\n31453 50477\n21282 95597\n1034 29265\n18440 69370\n29519 55556\n4012 19585\n44276 55102\n85696 95302\n47867 74323\n63391 81322\n59702 77128\n24426 94459\n47642 75435\n1885 33973\n68641 88643\n49024 68849\n41400 65348\n74838 82753\n7124 16785\n8176 45796\n28653 31245\n21088 29079\n27020 62492\n41108 58579\n17566 59711\n46111 56363\n12942 50692\n1498 63695\n2358 43401\n50982 52322\n32125 45009\n5235 84854\n22844 88098\n86555 95305\n37411 53001\n19266 50407\n47347 83840\n58201 61754\n18582 81325\n2146 53502\n46886 48437\n28854 58302\n33183 33957\n17991 64969\n28804 91206\n13858 53259\n39621 55238\n7768 43844\n42586 45093\n34434 74205\n93031 94820\n7609 43888\n3736 61272\n58133 64820\n43973 84813\n4186 31081\n87507 90976\n45590 68642\n9055 73442\n52399 71195\n27787 81684\n4598 9610\n17821 71634\n7295 80864\n5632 89737\n14507 77167\n7084 81504\n16830 40360\n27624 51662\n37776 98548\n36085 86051\n27547 61000\n72381 83736\n60200 99415\n6075 60423\n13161 53233\n15234 93080\n48465 55738\n52881 55864\n27445 78904\n53315 62918\n58508 97109\n21217 94731\n83236 92995\n19748 26244\n58375 91642\n68563 92193\n50496 67561\n37477 40549\n3416 20465\n51156 63439\n1199 72519\n17320 61413\n6593 44369\n32584 76010\n41528 96190\n21165 62765\n1767 9806\n2230 21762\n943 40370\n64338 76247\n53130 73477\n50501 77111\n84774 94693\n29838 39870\n18557 51903\n26955 76194\n81651 87955\n45977 62099\n3994 94452\n35520 37722\n28120 82763\n22035 54053\n3556 6628\n5640 23254\n20412 88344\n81665 86705\n47078 74518\n10546 80493\n17809 64685\n34648 48492\n37075 80067\n30591 49650\n10923 59090\n83215 93040\n44416 82677\n30276 94938\n61858 75723\n50626 77390\n19773 69121\n2879 16295\n4840 62885\n12101 82407\n17077 30865\n77084 86662\n18558 44494\n73206 85138\n27694 49033\n39086 94011\n22063 55317\n55748 72882\n4144 32964\n24528 98500\n4779 77025\n58542 92837\n3775 62061\n1626 6420\n19858 36357\n67820 96527\n16780 72849\n21947 41962\n9775 87277\n3444 57085\n41018 67296\n22499 84127\n16570 43753\n29791 61750\n16802 56199\n215 20868\n8051 28925\n75956 97417\n18392 72045\n12095 96945\n35257 46205\n11004 66147\n69822 74996\n9059 81864\n29441 96710\n31778 95294\n28991 41368\n28890 74624\n51039 86588\n56719 91041\n93782 99394\n21213 22372\n15180 71119\n22332 80322\n64576 75649\n39787 48594\n6759 17382\n42607 78851\n7587 18147\n64722 87793\n24867 43708\n61807 99190\n32366 88262\n17950 36239\n3669 7175\n46802 87350\n44219 46256\n2137 58233\n5863 81765\n53158 78888\n52147 55182\n61837 82926\n85479 95150\n27302 28260\n31908 80237\n44598 66207\n887 38696\n39509 45355\n4386 83471\n18133 61308\n73854 80893\n85550 92391\n42035 73500\n9705 51310\n26245 69762\n31098 33551\n37689 76408\n64909 79667\n44997 62600\n16343 67274\n60845 78930\n10075 82039\n12692 68099\n25445 99910\n30934 88844\n76918 94889\n37376 66710\n28047 74742\n18004 97720\n24169 89162\n41700 90042\n52278 89441\n44826 69958\n15428 24604\n66728 76464\n42822 90495\n7777 51781\n24856 97733\n22578 53130\n3669 39010\n40544 67113\n6746 88294\n47715 64964\n2941 45138\n45884 77680\n20694 21306\n56870 67033\n44175 73165\n17808 43118\n6210 71905\n16306 31197\n30050 35617\n2393 34489\n35228 92182\n56067 58183\n14626 92602\n45823 96191\n5656 60569\n45799 62980\n28245 82573\n4666 48491\n11418 28013\n11853 43997\n41021 64876\n38494 68107\n37889 81176\n39690 63350\n53464 91302\n25739 71459\n17608 63567\n50182 55999\n1169 15621\n17763 36179\n50015 82494\n17654 22561\n28526 55644\n43881 89904\n50683 96434\n40102 63863\n16917 78001\n82373 86536\n13396 68386\n59188 85432\n83976 93590\n64042 96157\n13425 30223\n5092 98390\n36558 47008\n6242 24006\n60899 74150\n16111 44090\n44299 64593\n20844 51024\n44189 49551\n72347 99523\n48082 55369\n13457 62526\n47540 71558\n25103 39149\n42905 51824\n75154 95912\n4721 67755\n2901 14228\n28214 63988\n2465 35369\n7316 97534\n6007 85427\n10961 19035\n44774 51578\n65548 94030\n43344 47794\n36421 62200\n38818 90691\n16288 66021\n68703 73982\n18354 83675\n22837 77699\n37450 89562\n7960 21635\n3803 49568\n16525 53851\n37624 50759\n13993 84201\n50920 57053\n78650 92784\n55599 91027\n1303 86040\n81454 86966\n20102 76018\n33926 77982\n23546 34412\n31036 84791\n11855 28049\n11010 21157\n1484 30106\n63026 95760\n7937 22618\n72386 87012\n44418 89543\n87306 99398\n15227 73125\n14343 53450\n10882 29921\n81265 98627\n48867 54284\n3243 19307\n55167 98675\n13810 35870\n19629 95936\n27476 42768\n21013 90595\n33807 90022\n58885 90880\n35134 46161\n77040 97777\n28252 82108\n20965 96117\n64723 70359\n54412 58754\n46971 71165\n15350 31577\n13132 26358\n11777 60542\n15764 78817\n36899 40886\n7993 88289\n5525 50539\n17541 42822\n53298 92495\n1094 45205\n47127 64934\n73299 82934\n46388 56961\n11336 23680\n11953 99003\n3386 57962\n72707 75949\n90299 94213\n24657 68803\n36568 50843\n15805 67615\n2826 11224\n1166 94517\n15650 71100\n15254 70010\n13978 60798\n76297 83153\n35832 43527\n25064 49704\n11778 67060\n28937 64419\n112 49624\n5372 73321\n58642 72433\n227 48138\n70848 80133\n78121 86184\n15707 94642\n11472 22275\n21420 36441\n31498 31608\n76583 79350\n55246 99521\n37099 40681\n53042 58073\n376 80417\n3955 16481\n38213 62125\n37852 88936\n54089 80947\n1675 20899\n22106 90328\n58919 99683\n36931 37669\n7155 61003\n31795 72152\n77277 92068\n9475 22083\n69540 94548\n20143 67824\n60056 93055\n25718 91039\n51463 77926\n39497 83794\n56811 64280\n38001 72559\n44546 53157\n48425 54068\n43302 74683\n20619 98033\n400 83649\n33246 34767\n16612 84293\n35788 55170\n18618 28933\n3305 7299\n6116 51303\n5765 49110\n6680 12536\n57516 89049\n54920 82422\n32856 39234\n54747 92233\n2700 48554\n26563 71441\n26778 44513\n52169 68364\n50190 77154\n3291 98912\n69173 76346\n69195 95231\n53044 54374\n26974 91279\n49049 90212\n22280 23205\n3193 19006\n20081 61351\n21862 87404\n76140 98310\n29923 57535\n10395 39292\n22474 85863\n39372 55577\n40230 60534\n40993 93636\n27356 75315\n41591 87591\n48201 55848\n40881 50606\n59127 78963\n14490 28699\n40574 61361\n20491 77001\n69972 82586\n16917 16987\n61417 67649\n12525 75807\n16419 87591\n66970 76948\n13873 61056\n10346 34893\n36460 72843\n24927 40567\n48235 68969\n7904 21301\n21196 27512\n55070 69426\n42453 43769\n66618 78833\n39878 44329\n35746 42760\n45992 90354\n5643 49967\n45331 95014\n20324 59966\n34078 75227\n48437 58576\n57545 63367\n70803 73206\n18325 38253\n69568 82080\n36118 44144\n55938 56790\n40429 80359\n21836 44025\n5142 18712\n31214 53114\n17137 25895\n106 97680\n73883 89296\n45179 89088\n32175 68153\n47909 79534\n56938 68477\n56307 96099\n16094 94714\n42770 44948\n59035 62196\n22312 68699\n8474 78943\n86916 96216\n18885 95376\n6328 20527\n72524 95039\n30142 64569\n11425 65462\n14301 44514\n37505 53076\n301 5794\n6314 82748\n17445 62494\n34993 53649\n36514 75819\n36032 61749\n49675 70037\n6886 8242\n42131 93256\n7615 84402\n30436 55302\n43421 49732\n21090 37168\n73519 89914\n28996 48636\n12618 21657\n15957 74071\n12356 29018\n10608 19733\n11700 57034\n41562 54675\n34132 82683\n15485 30065\n3060 64986\n46694 51040\n8981 65400\n48820 76257\n67103 99906\n20616 39556\n19874 92557\n5674 83306\n48598 80256\n75373 98432\n54982 60739\n56777 93030\n8075 16960\n21515 94572\n8588 36821\n5307 21983\n901 82085\n4169 97676\n26482 82136\n52327 68831\n31938 84593\n8585 62445\n35821 85352\n43547 96014\n11162 92008\n64281 86391\n5401 7964\n62607 76610\n58061 85688\n37060 77982\n12901 45309\n59787 87895\n45344 95331\n55555 61872\n43534 74590\n10312 28056\n19243 81832\n60054 84424\n44462 54523\n53207 71705\n20685 81687\n11277 71210\n43311 55430\n23436 51280\n7354 28364\n6329 67799\n37668 62532\n23308 25657\n20527 56746\n44186 71126\n31083 81233\n31618 66610\n48084 85348\n64728 81317\n69490 87230\n34374 39004\n12586 87073\n341 59956\n42139 76679\n79080 89855\n24771 56875\n28459 99329\n63157 88574\n11698 43924\n11935 43033\n15707 50306\n96206 99690\n19820 76066\n14048 26879\n62446 97168\n43001 78042\n73545 85044\n48791 71894\n18383 74675\n10114 77669\n5197 63937\n27911 85300\n19584 35626\n84464 99656\n56613 61287\n2198 84223\n14621 32455\n8301 27352\n10473 50018\n18943 31382\n4277 13389\n9614 20791\n73330 76830\n60148 98429\n80543 95081\n60504 69699\n18981 68728\n27864 73496\n85082 90402\n95648 99343\n23310 60130\n24409 77037\n76958 97925\n31729 42047\n45556 76812\n60240 83786\n61063 63555\n8664 23256\n5897 40257\n9448 65134\n87620 92994\n42324 45255\n69313 89597\n47201 69249\n33635 59588\n66278 72928\n59007 83662\n23462 44110\n52412 54701\n32983 78235\n925 15997\n22700 56622\n41267 57533\n5590 68124\n42597 45235\n8943 66336\n8551 35910\n17149 68895\n58326 70960\n51879 94457\n20221 95475\n7088 41125\n34710 97378\n15169 93993\n6646 59307\n1352 5677\n17957 73240\n70389 76938\n2437 56199\n37501 62461\n7308 87066\n71747 96762\n20093 76433\n6831 51225\n30609 56262\n56129 95442\n6324 75997\n9680 71387\n74809 83011\n85911 97702\n78584 85916\n17167 96638\n55146 67814\n38261 72694\n1554 58233\n32021 37956\n8824 85826\n2883 81538\n16842 61345\n14680 15966\n33594 83635\n30098 56544\n30266 96260\n62449 83718\n4077 23786\n79541 91154\n66980 80105\n77756 81570\n33468 82884\n16989 39663\n28787 48809\n41403 85050\n34286 77009\n51015 64273\n36331 57404\n6010 38151\n319 71643\n1081 95136\n38529 91104\n8243 48359\n32332 53879\n50497 85749\n82620 90595\n50865 72938\n21478 67084\n42478 93932\n7327 95420\n25215 57354\n2093 80108\n14888 25974\n53733 64855\n15013 27514\n12583 90929\n39529 93554\n42760 89067\n20529 81079\n70270 74467\n50538 51994\n64798 89794\n21238 98436\n89159 97072\n49675 65129\n52897 90015\n48952 56199\n8106 14571\n13410 35764\n65874 96787\n17380 80675\n38206 45083\n26570 88111\n11685 74188\n12957 71895\n26352 37525\n26595 56344\n32847 43059\n83766 90364\n12215 63639\n24622 58686\n21716 48151\n49416 77721\n12478 73564\n17512 71410\n33965 46719\n53143 83816\n3275 35470\n71644 99746\n11285 21310\n41992 54993\n61841 68292\n35790 98919\n20741 45124\n18770 35349\n39074 88135\n43142 56946\n1818 60729\n83187 96138\n19230 40465\n19140 98768\n5898 50026\n22523 90754\n36649 80006\n1384 21375\n32552 98114\n60497 65287\n32549 48728\n44991 56771\n84650 92822\n3317 98583\n2491 89123\n9555 23824\n42260 82374\n9643 67746\n59928 61747\n59504 93905\n13257 70956\n41848 62282\n70383 72026\n666 20130\n26515 71185\n14120 90925\n6614 28274\n29660 39269\n60746 69622\n40411 62839\n35524 49413\n28766 54720\n35159 71551\n40103 75016\n27826 75442\n46339 93939\n20048 40327\n68542 71624\n44018 67241\n5252 60654\n18883 79570\n51700 79815\n77790 97665\n20706 83253\n24179 84375\n50436 60979\n14554 85134\n96145 97700\n22102 53382\n31208 37281\n32160 53504\n43093 99500\n62610 78321\n25272 97334\n43492 54808\n40518 71400\n95864 96206\n18780 69680\n4960 56980\n13002 15595\n53054 76466\n2380 66497\n19890 80532\n52207 75163\n19563 90933\n1104 19739\n41896 77889\n33890 96662\n22601 40913\n25982 49830\n35867 66672\n11237 73789\n36513 95799\n20058 67777\n12687 81272\n3512 85007\n1462 40605\n41743 45647\n36156 93934\n6243 21246\n14988 97143\n81401 94316\n66739 77907\n70481 76083\n14768 87931\n35154 44599\n53862 88157\n11750 27678\n30959 78261\n34612 64238\n57922 70341\n14190 57148\n14748 46481\n59754 91618\n20811 74247\n30455 83462\n37321 73855\n17826 87889\n51074 79766\n54632 79786\n18910 85593\n77477 99377\n18177 38131\n48821 63073\n22090 72472\n53785 94861\n21976 68713\n78921 86545\n37817 58911\n53174 75219\n49155 95249\n70670 92424\n44143 68751\n16052 17502\n15575 83983\n4783 60490\n23252 52768\n35634 46016\n14912 42709\n14001 78065\n77951 88062\n26106 53960\n26941 79470\n23868 86581\n11067 66325\n31454 49951\n5951 49702\n17352 43345\n34859 37841\n28982 72924\n33882 47010\n35218 45966\n3484 30004\n18913 66721\n51853 92929\n8852 24931\n24684 32567\n20526 96297\n973 44745\n66963 71664\n78755 95002\n25835 47097\n68270 90074\n64420 99377\n37904 40425\n38674 75225\n17535 61198\n74975 87847\n35624 43566\n33530 99626\n5420 62318\n7669 87366\n17344 35438\n29622 47081\n2595 35437\n21762 65989\n12275 89030\n31985 92947\n31288 31548\n24908 72897\n41640 57521\n23112 81143\n7793 60191\n5302 84428\n58745 59773\n55223 59473\n20471 23176\n6956 86848\n51996 56016\n32117 79014\n40025 57389\n34742 83178\n22805 47669\n28581 29862\n26302 52876\n29094 86384\n23894 55682\n21994 72847\n61939 76146\n30084 70069\n27072 75874\n11303 68736\n82792 96777\n27616 52609\n26899 52056\n17143 50179\n20442 49144\n11646 33506\n22104 90560\n46196 59778\n66861 85536\n7838 46547\n8517 99746\n40687 85545\n34128 67938\n4661 9948\n18448 43800\n29198 30249\n45737 61645\n29552 81184\n36189 95159\n5458 66368\n21562 96613\n51910 79479\n81005 98736\n64570 81496\n76332 97887\n30687 84919\n80130 94880\n567 60202\n39875 98201\n16213 80122\n38364 65906\n20177 27679\n24730 26789\n15736 41839\n70479 93909\n42283 87656\n23422 93471\n89037 97851\n2856 50876\n36093 67676\n37958 99291\n38977 55125\n14679 65414\n12717 31322\n14708 60265\n21023 79175\n41522 56662\n70731 74007\n2726 78330\n33986 68071\n66111 77323\n19541 55212\n35444 60028\n59954 82810\n78635 86277\n88763 93713\n46107 66111\n7237 12780\n33161 66734\n47903 50654\n52603 69262\n39472 83260\n42963 81281\n15215 66519\n13008 39284\n3661 37672\n13997 21718\n16502 50461\n7347 99883\n8845 43022\n9444 16272\n11819 73951\n4600 74211\n4944 29871\n257 61368\n45333 88828\n31126 32050\n17538 39649\n47853 90112\n45518 89972\n41903 88197\n48206 50876\n47237 98474\n47420 93620\n13795 38249\n65963 86239\n55340 89403\n19502 91068\n9441 30306\n1713 26322\n36212 75219\n42920 49562\n8978 12956\n54602 79013\n12670 64873\n38678 53662\n103 11529\n38978 42037\n54329 75809\n20283 29236\n42875 66397\n34105 42131\n13229 20893\n17872 64256\n84726 92671\n18430 54091\n71347 75418\n30641 44167\n13780 46758\n7318 86870\n44521 83943\n906 89046\n65844 69942\n47927 83979\n9740 51484\n51114 68627\n63080 93055\n2332 91434\n13567 25725\n57629 92689\n85985 91189\n6392 6764\n23856 41899\n76523 91679\n4095 46002\n28521 92232\n45947 53115\n4877 25286\n12604 89884\n12390 39937\n59367 80234\n18484 31568\n32298 57136\n11693 27645\n46537 55936\n61653 89122\n17640 30429\n54878 95398\n7253 22469\n43836 64314\n5512 43888\n32837 56170\n5860 38165\n24231 98399\n36390 42128\n25988 74147\n53885 55966\n29908 61830\n97784 98791\n51920 55275\n56137 89256\n42459 76077\n62913 70249\n5428 88209\n42785 90963\n58635 73188\n19640 80211\n92232 93399\n15616 24866\n31681 75924\n34802 49471\n11205 27398\n69043 98598\n39398 42271\n19636 60281\n56780 59458\n75833 85942\n67925 85940\n20046 51745\n38981 90839\n45982 79663\n7248 74592\n5746 23059\n1475 94940\n17564 58483\n55441 88270\n58180 99560\n7749 63369\n81846 88601\n32503 95238\n40365 67501\n5799 54248\n43625 85816\n29971 89197\n34003 61606\n12933 33081\n90749 97582\n38797 94767\n33344 36343\n58417 85778\n26726 32273\n12032 69573\n49859 56239\n83830 89691\n6523 26846\n16327 48868\n47164 56071\n3744 37653\n24184 87273\n56461 95764\n33895 38563\n46050 73631\n91791 93434\n14663 32851\n29057 85994\n35375 39005\n74 12286\n67373 77842\n2635 82238\n2480 78822\n78067 80243\n16414 24478\n14339 44972\n26529 70320\n34535 52811\n29623 29871\n25015 96496\n2816 79867\n67171 81184\n24395 35870\n10160 67061\n26959 46280\n29370 39002\n35226 89665\n16762 85334\n39326 73988\n46101 48809\n45565 65553\n4312 25602\n20505 80937\n22239 47893\n35557 88241\n20672 59453\n56728 66332\n21985 78449\n67275 70653\n77888 94427\n73456 86036\n58914 60579\n36580 92055\n66712 74717\n31628 50847\n39645 59433\n7675 96255\n33721 94092\n109 24265\n24799 39565\n7956 22591\n14263 35335\n13337 22463\n33423 93686\n6526 8929\n6431 40787\n36821 48214\n19269 48469\n42455 83059\n32530 69185\n30409 43932\n27572 72632\n30332 30486\n28308 56866\n27247 28677\n19020 32525\n9313 94183\n12235 23964\n25492 43376\n34490 76647\n7020 35930\n49064 92485\n9677 26375\n16335 45433\n12650 70159\n35717 79554\n18941 61631\n76689 78537\n17607 33745\n34236 48412\n59996 72010\n20563 57906\n52570 89048\n10922 65882\n54090 67051\n39370 42449\n53524 87160\n2017 88372\n75010 89807\n35985 50071\n66640 86442\n50023 91580\n18234 94875\n9516 38021\n75486 84596\n61674 94241\n62213 86281\n45102 87559\n82879 92348\n32797 58001\n2761 68826\n19817 27549\n5185 5445\n38943 79960\n1750 27077\n14420 88222\n23127 40752\n7235 19010\n23338 34941\n14558 22743\n3125 35433\n7234 54424\n38559 67000\n72382 75326\n24898 77462\n33412 68437\n5686 56922\n68460 85302\n40370 80054\n79483 94607\n38761 50840\n24185 72140\n17593 58633\n35336 64941\n41659 65719\n79590 88362\n9545 50703\n28169 75384\n3045 75567\n10778 92128\n60137 87345\n18176 25607\n17564 90839\n27727 94677\n1842 75380\n6997 46636\n18371 89152\n45081 69731\n28424 81489\n68403 88963\n65467 90981\n1707 94060\n65461 91220\n39510 68723\n24776 51239\n18554 62952\n4681 32171\n26480 37113\n66747 95808\n21333 30124\n36826 56711\n8464 67717\n31874 84554\n20147 97458\n28652 52726\n69900 91734\n88262 99864\n25694 38002\n34618 80441\n12243 29290\n18530 83875\n83381 85901\n38882 64892\n6070 38926\n4254 8162\n22664 25884\n6474 25351\n13695 94016\n51259 98158\n27868 57030\n23641 53887\n14928 69019\n11571 99770\n51852 79757\n32578 49851\n31388 65884\n59316 71802\n56496 95112\n50507 73197\n32242 82145\n2813 66134\n15734 28580\n59045 99242\n54230 78910\n9836 83095\n21342 96837\n41958 61665\n14945 77792\n17183 41306\n48778 70464\n29573 64728\n47714 69594\n3336 57159\n13745 20930\n40360 48293\n43059 59925\n50446 58920\n7250 73508\n6321 72723\n51768 75044\n23289 82132\n40416 60428\n12525 34483\n9122 32029\n15642 89800\n66954 72554\n30520 40060\n20633 59587\n62634 94562\n30873 82003\n61943 85246\n21698 95906\n16108 67876\n42862 75422\n27751 27955\n2823 99688\n36099 38320\n65195 70655\n22603 44252\n39222 46356\n71547 83536\n24018 28082\n59077 88639\n24660 71247\n36385 48480\n6556 49502\n14833 20017\n34116 45548\n33252 36281\n25503 48611\n78376 91811\n44610 51697\n9342 75552\n9150 37121\n26122 62504\n21712 85383\n6221 26147\n22417 93031\n29709 34641\n2530 99986\n1166 39862\n79 54372\n65870 68640\n6869 88999\n36593 80655\n12398 48830\n624 39676\n35343 85056\n77735 85013\n34963 82378\n25620 59936\n10272 69936\n13792 78462\n54139 54327\n81869 93108\n15827 95255\n16816 96957\n27842 51901\n27535 84304\n11366 39186\n50773 81798\n12515 43707\n44629 59474\n54927 82551\n62229 75051\n2714 49554\n34215 91264\n39735 74513\n49156 66175\n4558 55559\n50151 80172\n3223 30408\n22066 47946\n23071 94800\n18099 55139\n5544 22332\n60058 79810\n40404 45584\n44250 82845\n2896 42838\n16654 95960\n86097 91874\n15821 84179\n38941 70272\n63912 64263\n58657 77226\n68806 69361\n29247 49216\n16381 32434\n30086 65488\n23035 74272\n34840 54106\n32958 80828\n863 82809\n21647 93342\n81437 83912\n70306 84910\n31290 31433\n14169 16285\n15499 98915\n30761 57274\n10769 57259\n13069 66112\n10204 28004\n47380 96660\n16186 58240\n46949 70110\n45489 94789\n82271 90753\n3637 95303\n13738 94710\n52925 60697\n70603 90812\n12395 55379\n35021 90573\n71313 73612\n81945 82976\n5857 49579\n23577 49286\n40822 94130\n56917 59675\n32453 61134\n55948 93755\n26623 74347\n55673 65245\n26200 42816\n15793 74830\n46179 79052\n15958 38695\n3072 51720\n46385 60667\n46868 92437\n8024 72100\n38091 84097\n62850 69815\n33728 41082\n33460 81381\n17337 21572\n44805 66525\n75170 93371\n7292 48135\n4794 62775\n51451 69674\n48133 62743\n87437 99894\n16214 34777\n56433 73629\n47901 58783\n68874 98698\n37496 37661\n17261 95887\n54120 75238\n37174 62153\n2034 83353\n12387 91780\n9637 54962\n13127 29426\n6987 20141\n93757 94336\n11154 17351\n58686 99181\n27628 91207\n11917 28952\n72630 78235\n13940 78939\n56629 95136\n11813 86856\n60583 92879\n8925 13461\n45486 52065\n27961 58573\n11130 94487\n38508 43155\n14926 53126\n36137 95965\n11000 57413\n38638 62973\n31113 44089\n53040 77657\n55473 69578\n79141 98724\n5717 21631\n39015 91677\n85837 92502\n38779 95294\n43610 63567\n2783 48770\n71811 76308\n17258 96402\n55202 64774\n12202 31211\n13496 96806\n31597 43395\n7715 62746\n31219 48532\n34201 65944\n49606 65680\n16153 63913\n1910 84949\n74552 95710\n856 21522\n68517 89892\n4070 99992\n25749 57180\n56215 85046\n17430 28311\n5607 35200\n55315 68876\n47855 73038\n59002 94379\n8326 70239\n28111 72185\n42003 91421\n13251 89355\n4638 91868\n10674 36626\n58312 63135\n32482 40335\n73701 78662\n14827 21749\n39194 62286\n13642 79713\n6064 87611\n556 53765\n47920 62727\n55823 76387\n48293 99217\n27783 32161\n67786 68179\n13486 89664\n55289 99691\n33647 57582\n66810 84032\n22911 59478\n42560 77407\n85301 90719\n38155 72730\n62501 65349\n36755 92244\n63650 95476\n44031 53759\n27603 40683\n29489 54340\n78724 92402\n44504 79458\n42619 77541\n84561 98540\n12264 13279\n35701 89118\n84480 93266\n25771 74705\n53608 90166\n37663 41081\n80854 86290\n39458 57428\n9944 34125\n2303 92615\n25159 54974\n33397 68561\n19807 88381\n17534 70378\n36010 44718\n2277 48342\n22833 42520\n56788 93475\n20334 61788\n48659 70725\n12815 81263\n27271 89939\n63242 71676\n34550 40819\n24946 95658\n74534 77217\n66640 85960\n28208 91619\n54465 79762\n30761 89574\n63109 91169\n35343 47846\n35783 46645\n64901 93871\n37275 45169\n28979 66598\n30015 73324\n18631 38501\n3900 67013\n33628 53906\n52370 93458\n9876 95052\n21148 24083\n22956 54891\n18435 71806\n14460 61761\n66893 82747\n1411 4364\n229 19288\n24179 94135\n34718 45804\n18017 51329\n14682 53223\n39641 75903\n21623 63747\n18930 40352\n76008 92365\n31850 56329\n88162 93381\n40968 83993\n20656 37794\n13249 18744\n76041 94816\n8486 59868\n49620 52634\n26928 43972\n33903 58264\n58698 62150\n8333 94483\n32353 60279\n15164 74846\n45527 64262\n55980 96690\n27356 87774\n22566 94701\n51994 92496\n31272 80570\n57918 68520\n60729 84972\n21935 98564\n74257 98917\n52530 76738\n89358 89679\n46095 50449\n23740 72271\n2593 50842\n19896 61133\n51185 74699\n41063 45909\n47293 65901\n674 82388\n63019 88131\n51975 63165\n19840 34960\n31225 47111\n11562 40111\n28390 58826\n16440 38327\n76212 89418\n18099 97006\n40594 48665\n55549 70486\n36880 65808\n29303 79301\n20347 74170\n37825 95167\n1778 34660\n60767 82041\n13429 47392\n62392 81959\n34277 51531\n1317 14001\n37008 77285\n36609 79264\n41544 48238\n40230 82426\n515 54861\n10617 19068\n47380 68524\n53666 90691\n36942 47891\n3830 16278\n65910 76763\n29941 39311\n45935 49719\n34997 51139\n7163 89931\n39801 95750\n20698 84685\n64746 76164\n41426 52971\n36625 47383\n19388 66717\n47976 66081\n18179 97897\n57235 68531\n23135 51929\n23436 79621\n52895 84927\n9083 43409\n8911 97264\n64781 80412\n9360 94911\n27019 96928\n25907 43245\n12356 97064\n50706 56860\n12311 95348\n19185 64563\n20125 75922\n60242 76800\n8207 31347\n90943 91722\n57444 93148\n42014 66705\n31809 65932\n13869 98768\n6435 39846\n21958 41521\n58071 79553\n63358 96610\n32120 95366\n15234 82743\n67133 72799\n24777 56896\n15144 70426\n46211 54847\n76791 88240\n68212 74580\n5672 68195\n19697 81810\n88741 96759\n41146 89858\n16316 51568\n66190 91874\n49192 91447\n49025 96141\n11629 56975\n19456 24195\n8144 60802\n50771 95800\n26685 40710\n22323 99824\n8127 35060\n15200 61000\n47471 63505\n30047 95397\n19083 92047\n15567 63469\n18558 36760\n27625 60997\n30530 36956\n9608 59020\n70595 73859\n9388 23037\n38209 85230\n48198 77467\n9685 58817\n59549 93462\n40986 86405\n36657 99879\n79065 94514\n3878 51525\n4938 25465\n30878 71704\n3582 16193\n68551 97232\n11186 36988\n42826 51034\n65311 99926\n178 23714\n49636 71151\n39610 39663\n46923 66444\n59544 97798\n15859 24642\n18734 88644\n7414 27299\n14004 52074\n8692 70578\n33867 66898\n9236 69762\n30433 95913\n75213 84206\n28278 34090\n520 67006\n34526 35446\n1694 49804\n1317 36408\n33323 66405\n3384 32171\n71311 99731\n81112 85660\n684 37809\n54916 97685\n47064 83635\n27438 37304\n10739 14254\n19852 74708\n20988 50153\n16895 52542\n6354 57162\n87456 89201\n22456 69267\n7976 57672\n7945 80009\n30817 46516\n4588 21143\n98221 99309\n42734 82295\n31637 85500\n4341 76085\n4154 53050\n27281 45496\n16367 57436\n38186 42040\n39284 39682\n10037 39240\n82662 85761\n21921 41238\n19397 43628\n7595 82744\n17670 95569\n1493 71152\n34680 61952\n1899 95112\n66299 80889\n9732 45249\n17931 84836\n24007 60921\n858 53511\n6444 66089\n47558 49965\n53326 98727\n15336 58212\n37902 68417\n37480 61611\n15029 42318\n29574 85718\n15753 35355\n14314 98758\n49423 88480\n2583 4632\n7498 17195\n29662 83275\n34407 78004\n18854 40751\n11881 47990\n71745 73307\n30996 69120\n7010 66744\n56093 97110\n27751 50302\n48042 73738\n9796 71615\n20432 42058\n32804 42554\n33407 86322\n37960 66581\n50659 83629\n27279 78457\n1767 83400\n63464 77968\n53234 85834\n4470 16715\n11872 77874\n26379 69774\n52382 69197\n46524 90068\n18139 44755\n56738 62097\n35296 42316\n70219 91915\n34259 83362\n68473 69496\n59908 72265\n65459 97522\n32051 87145\n37021 72529\n11185 65815\n7802 76710\n10956 15728\n12319 70575\n47249 72705\n28901 71267\n3403 33441\n20709 57919\n11555 76680\n44273 79414\n19889 50428\n43385 58360\n78445 92454\n26529 35289\n39140 95906\n37217 52284\n41405 47528\n13440 85438\n10134 15320\n18419 70847\n7929 46460\n674 97644\n81073 88774\n6946 55917\n32844 87527\n94607 98150\n51945 53309\n71311 93788\n1738 22676\n874 5458\n72605 91993\n18619 78032\n6719 40992\n25051 64790\n71486 75052\n43287 54964\n71719 99621\n723 29168\n6453 8505\n53039 71854\n17574 81664\n40024 87506\n26479 31244\n31389 94032\n19259 67699\n15975 77009\n7298 28530\n23924 51455\n37478 41474\n48978 53629\n43998 60974\n1113 4965\n65938 90174\n33782 52857\n17177 80171\n232 47182\n24061 87517\n10351 13285\n25085 60781\n13567 63083\n22799 65048\n22980 59691\n11175 22818\n40625 90877\n5522 91457\n16471 47219\n38039 96484\n16156 82204\n22328 88954\n59068 93403\n72470 95273\n23403 48791\n3365 49225\n64562 92279\n18260 86006\n1131 85372\n41481 47584\n8111 37931\n17780 80974\n6587 12976\n8877 66092\n20765 70813\n37161 75925\n23614 25718\n29142 41516\n51525 93554\n23417 82030\n56338 95892\n67080 90874\n66607 73736\n53633 91097\n7683 69380\n22170 24448\n16531 27310\n1463 27786\n829 93566\n3326 85026\n39419 94669\n5315 45768\n21096 98616\n74643 80045\n34221 70910\n40590 80033\n60675 69511\n7495 55427\n6157 65099\n13314 52178\n78204 94922\n5611 5924\n13865 32672\n7626 34663\n63118 99071\n35258 83706\n42128 93296\n30295 96860\n29220 31551\n13412 68047\n10026 90915\n29055 36862\n50298 74065\n47074 70872\n1135 93669\n95346 96181\n60140 67857\n24984 41006\n26462 55128\n26397 92859\n18339 35447\n13264 51484\n24902 71215\n50619 92579\n56533 87417\n1369 82391\n7042 66727\n1403 90575\n5152 92011\n5233 27522\n66796 99366\n50652 88834\n63209 87919\n77283 98098\n27185 51694\n7751 49180\n69971 74293\n5252 48960\n11827 62984\n21652 81099\n15140 47504\n30218 79449\n35224 42616\n24005 58281\n61823 70309\n75691 93671\n59132 70332\n22008 36125\n11455 14669\n15552 29532\n90094 94987\n85504 85605\n47907 84283\n19767 35513\n42368 80116\n4035 40636\n60662 68335\n79990 88189\n8273 60201\n8800 16726\n42124 66092\n26810 49200\n20469 48411\n71889 98829\n60573 87230\n2265 12902\n15164 47932\n3454 26731\n5777 10488\n23117 59766\n28309 36773\n26632 48674\n41153 50520\n63844 94061\n12998 89443\n13018 70830\n69050 95077\n7458 65794\n78810 90808\n4369 32034\n44669 95834\n13220 19213\n62336 85227\n21973 25856\n73567 96914\n49226 68080\n15874 56261\n68385 76620\n9616 37084\n62599 89492\n1895 5946\n29647 74845\n21494 81946\n4615 50213\n65203 86780\n28208 34609\n7998 29999\n2969 30897\n3371 52574\n32734 66329\n210 74186\n42156 44888\n1355 98487\n10284 13417\n6859 45520\n41514 71491\n57112 85805\n57701 92120\n72841 93210\n11255 52311\n6105 65766\n3633 16470\n4731 56824\n57506 84574\n46739 58742\n58424 68129\n31386 86358\n17017 40405\n77720 83746\n56498 65534\n2746 15598\n5881 86830\n20486 51976\n82282 88902\n20309 54600\n47827 91291\n53221 81381\n13498 26854\n11905 16884\n10815 87520\n27172 34103\n18257 65952\n21183 32016\n55879 63413\n92063 92358\n39044 85303\n12861 29616\n48178 94208\n79411 84621\n15943 34031\n1126 80043\n45869 60525\n50950 52067\n10576 43424\n17589 43375\n21543 79869\n55081 92353\n710 12020\n6226 13229\n36440 90487\n93639 99013\n6278 49269\n13168 36073\n32535 52800\n40217 52345\n3051 36117\n33099 34376\n23369 37256\n27638 35897\n17618 74634\n35786 54199\n38708 75335\n1248 89430\n517 89548\n5366 62891\n1879 80079\n4700 98273\n25408 29689\n20695 65201\n29057 54270\n26900 38361\n10784 21990\n15848 17549\n27849 91308\n8125 99399\n68791 96075\n62529 96994\n18372 62924\n31199 91620\n16423 49120\n63106 71235\n21922 80525\n7841 55711\n87642 96158\n12941 18814\n63471 82287\n12292 31666\n41606 63315\n2437 98664\n16954 47588\n45996 70014\n705 36454\n87391 99979\n29948 92675\n68764 74286\n20749 39842\n24992 62495\n47158 81935\n5605 32433\n69425 85307\n82447 88412\n41380 49484\n33583 36562\n1244 83709\n11963 52007\n92369 94862\n83137 90865\n14657 48318\n4350 69292\n7163 70567\n9452 15607\n16177 28899\n47718 85965\n31498 77716\n51431 69757\n36804 90458\n3253 36307\n20011 91425\n18137 21322\n59859 72186\n8134 44646\n65181 92228\n21262 68043\n55270 64587\n8419 71740\n9984 89743\n31821 74661\n47091 55760\n59503 93181\n38646 81714\n66225 95761\n34238 42717\n5963 83161\n52542 90967\n26033 35922\n38559 64009\n9785 96097\n50895 76099\n6034 72789\n28294 67305\n67533 90486\n10491 89161\n34441 36929\n66434 69388\n13009 20985\n23644 51344\n82108 85058\n49110 69671\n37451 80273\n17769 94993\n41221 68988\n57441 75873\n41640 42337\n55145 76446\n533 53125\n15486 94463\n6677 14120\n70574 76111\n62530 67238\n30610 59794\n7044 55921\n4489 59136\n47285 97880\n4107 49400\n61698 99875\n36730 45784\n16697 38135\n43748 47949\n26508 66387\n54297 78829\n15498 24262\n2814 37514\n17292 40612\n11166 20892\n17320 40501\n38245 63889\n4198 6439\n29376 75429\n22523 32412\n1575 66269\n39852 44394\n26517 32943\n8744 56429\n17975 67852\n29229 74913\n52079 87811\n65158 72783\n24220 75265\n13624 34570\n70038 95707\n21968 53601\n22761 30168\n664 20836\n8776 94427\n45039 64811\n46 31695\n74271 98307\n14877 87093\n7276 91045\n9225 81763\n85706 92447\n5938 18847\n1389 28582\n1098 62272\n22371 99669\n54242 56053\n21290 59112\n63070 66335\n89832 92256\n485 68463\n83524 88624\n31080 56664\n17381 32363\n29953 69097\n44137 93916\n55598 85860\n28605 34868\n11175 46916\n2245 49346\n23449 88983\n28274 81944\n48420 78220\n2536 22692\n5418 31519\n28795 73728\n14048 33514\n24018 48865\n10195 51485\n60547 99310\n75281 86920\n4793 88303\n18170 54746\n2324 81413\n12810 64725\n30999 63557\n11437 79251\n66698 78335\n44093 67219\n17196 22181\n22632 98226\n905 44187\n41033 58715\n88522 89842\n28840 92808\n7018 67724\n27955 43344\n9393 14405\n68213 88310\n11784 19948\n64613 70504\n35686 84122\n26038 74099\n82579 93138\n93242 97003\n12990 93511\n24182 82813\n6421 18712\n43853 77459\n22851 54507\n2706 9081\n43074 79193\n77203 88264\n31471 66080\n30391 51736\n13472 57954\n407 91449\n57325 72287\n31982 39409\n15249 70119\n30609 96010\n32205 69152\n42475 72875\n99829 99928\n27596 58028\n45949 76835\n24656 45643\n56605 96556\n5987 37831\n42321 95090\n25645 92257\n4291 48744\n35846 44660\n203 10354\n3730 16929\n56829 67746\n50155 60047\n56774 80361\n32397 44007\n24773 81500\n36846 53013\n21839 87567\n67090 89785\n95985 98001\n31720 54633\n6860 40949\n41623 44721\n43450 70338\n35480 61325\n468 55057\n3668 26464\n14069 77056\n10128 58140\n55663 71822\n41520 41764\n3596 35346\n34450 51015\n66093 91578\n15688 97928\n6517 51039\n14563 24796\n24644 61579\n88063 98401\n70241 83726\n55538 62728\n4292 96078\n12049 57136\n14426 78179\n13275 61927\n61807 92654\n56426 93327\n2285 48529\n43181 94281\n32453 58079\n3533 99646\n28654 84600\n37720 39687\n5692 88864\n23376 36967\n22310 32875\n43585 87405\n27028 42667\n16207 56672\n19725 27652\n17794 55421\n52207 98350\n21121 92909\n12360 81457\n36441 49341\n11880 24901\n12430 24660\n31954 78468\n26234 26263\n62982 72164\n18394 72736\n49896 52415\n15718 85221\n37215 73593\n18059 84037\n63748 76617\n33936 37402\n14282 49826\n50008 58886\n77277 91527\n5065 29866\n37496 54539\n7465 95959\n62745 84892\n726 84339\n27183 68307\n48658 81198\n20550 50764\n13792 93728\n14881 53608\n67120 69806\n30543 76801\n22712 61932\n34695 67832\n13085 26964\n44726 60142\n45282 73140\n28360 88394\n36676 65370\n60946 84615\n12639 71603\n14740 47262\n32267 50534\n20717 41569\n57853 59452\n41190 63328\n53530 80029\n8501 99151\n29176 63487\n64214 74423\n22620 42545\n38537 62515\n21901 33987\n59149 80922\n25222 45707\n5178 62775\n98675 99611\n2670 43174\n26761 58332\n24647 67248\n50779 88795\n8150 55167\n6073 17770\n1483 90993\n29384 95226\n22933 44751\n2012 30742\n29200 78486\n40392 40664\n9094 97261\n20289 89677\n80041 87981\n50464 59109\n58234 70067\n32927 94040\n15722 75281\n60417 68846\n1768 35767\n65778 91595\n41299 69922\n2388 38846\n33400 34842\n19496 36489\n26866 31813\n40709 86399\n91638 99463\n3157 33010\n38575 60493\n53166 99238\n46061 69150\n46593 51055\n61028 69381\n43625 90773\n6479 56656\n19515 37866\n7109 90578\n37538 66039\n33045 95680\n30954 66908\n45101 87489\n34525 77895\n23861 27265\n83560 88102\n24280 46957\n5508 75658\n47216 67066\n78678 89402\n14914 55615\n62610 86385\n33985 99851\n72839 76932\n21005 23643\n29528 45073\n28455 88894\n15623 91359\n41202 98727\n6946 97598\n35573 84943\n58625 78211\n45401 53132\n4224 86679\n70906 74460\n73663 77931\n3653 54181\n37110 57502\n123 13928\n15815 54153\n3799 93981\n73036 87967\n52441 84514\n3472 25140\n72023 99699\n11099 31670\n32651 68016\n33052 33697\n33733 59037\n54388 90748\n69144 80022\n33558 99774\n79238 98312\n49048 98084\n1807 95737\n78904 80987\n18358 55067\n19104 86968\n75151 83238\n57350 71977\n23899 61087\n33161 59764\n20858 30786\n7249 12136\n77449 84941\n28204 96264\n78670 92325\n16817 69962\n4257 80406\n59570 83437\n19381 50166\n53788 65651\n45065 83960\n3131 96986\n77452 89894\n22121 44735\n42269 95910\n47869 60590\n3692 44073\n63793 65582\n31739 36892\n1778 99997\n949 39886\n4563 80003\n64768 82877\n17987 73074\n61220 80611\n19813 53915\n12882 36435\n75075 86232\n8339 61464\n64516 83567\n26244 53982\n33305 39476\n15687 57335\n28677 58569\n10207 47456\n67005 75178\n1205 55963\n29526 96352\n14406 85602\n42737 86735\n56514 61996\n10826 41402\n32282 58107\n25474 93242\n25934 52892\n8858 95154\n23745 98648\n20385 93871\n29534 80899\n8325 47011\n15916 28392\n53478 74030\n35963 74908\n62602 94668\n38219 85156\n2253 68564\n53562 79668\n4676 62565\n25272 60911\n44115 90643\n25475 41703\n2691 38259\n32393 42530\n14384 61586\n37216 75996\n19430 55908\n8004 70332\n13767 49646\n17197 84587\n48475 67591\n30682 78666\n18026 56759\n38394 80453\n91820 97481\n44985 93673\n92023 94996\n1423 99987\n32838 52222\n48093 56772\n25053 55564\n27267 68176\n5351 82008\n96038 96729\n22112 36285\n71531 82457\n6231 71890\n28266 59286\n8402 9657\n9408 39880\n3708 42052\n38315 43374\n5403 50112\n48561 80574\n73641 81537\n40065 93720\n79877 86031\n94 89621\n58416 71786\n48440 77786\n32961 82570\n15685 21413\n19672 23101\n23075 79527\n67941 81068\n52309 56727\n31029 92304\n290 80915\n54572 93981\n36609 57590\n4857 5694\n2603 74420\n58071 87594\n20779 64746\n14699 21431\n7069 11926\n77733 87085\n29339 69133\n16331 62159\n5122 81101\n7580 51418\n27502 60737\n87740 88302\n47293 84507\n23227 95656\n36181 96059\n29320 36180\n14178 52239\n40218 58440\n19264 52201\n15983 24749\n33976 43206\n56498 66529\n93109 96245\n9943 35206\n20031 33030\n44277 71392\n12248 59982\n39925 87026\n24870 89415\n12924 98408\n19203 91345\n46415 72622\n39186 62562\n29583 68306\n22247 22702\n14267 59246\n39808 80971\n1705 95415\n26271 75764\n13204 15787\n43376 93663\n13320 17974\n40306 77767\n28949 33059\n23118 64604\n10791 38964\n50442 64279\n10930 38328\n20871 63642\n10134 29776\n52538 77523\n46864 60397\n2501 18654\n57882 67105\n21723 24329\n40810 54145\n703 51078\n38056 77469\n2920 48922\n2219 20759\n36762 64929\n50405 51668\n45559 89141\n19586 57899\n69135 80338\n50823 88722\n6510 10196\n41170 50232\n77019 78975\n58899 87322\n37981 95184\n80928 97589\n22339 97815\n4469 83065\n8155 50636\n26604 72855\n19465 30589\n31345 58846\n40126 92045\n46867 87507\n16383 44133\n67445 72718\n6646 56367\n28882 71588\n37234 89087\n42466 98891\n3790 79713\n19038 38731\n66920 96968\n3478 11326\n83488 94720\n18777 60417\n19912 21375\n4459 42680\n65103 80223\n3856 74277\n39887 71403\n45119 82869\n9217 43021\n66044 97139\n22435 81279\n16488 79148\n48247 84552\n53485 91723\n45122 46261\n42236 79608\n44584 57535\n11337 40288\n10338 47552\n77866 86307\n14556 62821\n66716 67365\n8296 97244\n64974 83127\n7020 20937\n86482 97284\n6287 67413\n87163 98702\n32125 48441\n50805 65513\n91329 93059\n22967 88368\n12069 59097\n4150 79945\n22227 51580\n73261 81515\n8745 37967\n27829 91037\n24778 32397\n37470 60700\n40435 74459\n56787 56898\n22932 30372\n65193 85197\n5792 50330\n50428 67777\n22119 77196\n44845 84282\n23240 33767\n11753 60500\n27465 65950\n18310 79978\n39073 54205\n57914 93329\n6169 25863\n23759 43526\n67629 91207\n5662 46368\n92587 98663\n26500 31718\n28254 48204\n13813 29988\n727 40020\n32782 44203\n13697 97357\n90307 91928\n45571 71168\n17010 71095\n21418 50717\n40764 55649\n46331 57093\n37339 91104\n31674 95840\n15331 73643\n38435 57573\n34597 85433\n3807 8258\n37545 76866\n49392 88953\n67390 92493\n8662 57838\n16459 47300\n12571 24680\n6225 19593\n46733 51038\n54011 89023\n47867 75070\n66196 77716\n29170 46765\n14134 46619\n30028 56645\n34414 40481\n2978 36294\n7916 64050\n29921 92361\n5983 39171\n15257 25420\n43126 44301\n5618 11657\n50772 54992\n51936 60005\n23028 98841\n4017 36434\n8084 76386\n16117 35197\n62784 92415\n2024 22969\n8574 18165\n19312 74437\n53935 83514\n2019 11323\n58696 81526\n12242 38061\n84975 86466\n2995 34646\n13149 41415\n32682 67954\n36703 57380\n997 83924\n66981 73662\n93299 93590\n2360 49879\n54043 59357\n2135 90642\n22261 37315\n66257 88421\n28206 55464\n1171 70164\n25399 34938\n13067 47118\n52353 74692\n9346 24462\n9936 25187\n14847 21756\n61565 73261\n46777 60831\n37121 40546\n40214 43126\n68533 86802\n18123 23929\n5532 75694\n44504 57777\n9063 50063\n68495 71527\n35920 93034\n906 94033\n53455 86245\n20140 94615\n18134 69122\n12141 61700\n40121 54892\n19247 21809\n20532 78233\n2166 71007\n8581 33502\n64835 84114\n17086 55234\n92780 96825\n1940 43269\n78855 97482\n68636 91812\n73729 77996\n16807 41084\n8868 75035\n59356 84203\n22189 63408\n37728 74835\n44880 68786\n63798 83050\n68515 96486\n17059 31652\n52205 86002\n35068 45464\n32698 94027\n8667 86281\n1385 90492\n7014 42319\n41704 96273\n88444 92265\n24332 85425\n54434 69446\n23480 72655\n83547 97786\n35928 78712\n295 68281\n40070 92460\n52964 53715\n26080 91458\n4437 32120\n65897 95746\n69974 81622\n12561 68747\n19821 69030\n6100 34330\n40263 88794\n29295 80932\n65915 82040\n29339 72366\n32326 42491\n29103 90962\n39567 72672\n28729 96207\n46501 62053\n82335 92934\n21173 84465\n18106 89115\n15026 75800\n5734 77419\n8649 65773\n26368 89452\n7850 18848\n1752 18996\n6794 80484\n34741 66953\n18495 52395\n44906 59346\n23648 86131\n52205 68623\n73128 80602\n43327 46500\n3130 55810\n77287 80601\n4839 98018\n50478 98730\n1598 14548\n69515 86443\n22350 44869\n22686 54842\n57408 64029\n79907 95958\n51045 51046\n2067 80693\n25187 61235\n28472 63599\n4382 92048\n35715 78939\n73715 99029\n29489 66858\n60142 98430\n16370 74782\n78624 98851\n3796 84620\n6273 50288\n46348 54806\n74772 82766\n35522 78908\n20009 31519\n42286 58558\n19574 86873\n11071 86874\n77103 91660\n2877 30842\n2354 57274\n40897 99233\n46419 70168\n51393 51479\n60582 91522\n35770 69793\n12485 68948\n69281 98137\n50834 64904\n26053 33916\n14278 19251\n3288 28794\n3390 17104\n32679 99254\n10573 90408\n15210 32011\n18871 70159\n3969 7231\n68394 81100\n14260 59250\n16209 95928\n65348 78233\n19145 85237\n42131 44898\n30782 52859\n43698 66502\n23400 78554\n59903 75018\n7379 69500\n49327 66697\n33312 90353\n14621 93352\n11737 26934\n56358 92559\n7809 68134\n1426 70266\n575 93888\n4600 14010\n28933 54532\n71828 94881\n10121 75601\n2968 31148\n38816 91018\n19326 41326\n29445 62638\n61644 88775\n52440 58969\n7894 86097\n4892 15613\n14739 30215\n12580 80933\n18929 83197\n36409 99927\n22196 99688\n1335 48136\n8958 60793\n37631 84720\n10363 55478\n55519 99369\n57766 73611\n8462 95570\n24498 49299\n18252 40490\n5316 53203\n64517 70521\n519 57547\n30923 40902\n13348 58473\n21787 22906\n86126 93943\n59251 88922\n7071 35184\n24105 67633\n25027 28866\n24743 76445\n1339 36252\n63756 82450\n36018 96679\n38665 68814\n13482 25274\n85041 91063\n2495 50862\n47581 98191\n5466 75004\n54077 80754\n29383 45397\n31683 85636\n717 43876\n29375 76553\n25165 54313\n27470 55918\n8275 17745\n28326 34958\n51238 74825\n34546 45093\n58336 81959\n37455 94721\n21488 91647\n46146 53911\n78472 81028\n60604 78648\n25840 34038\n1022 36859\n3040 15913\n7751 64220\n78370 86665\n56034 67418\n69450 92051\n43851 65574\n58711 67153\n11304 86197\n23552 65887\n30281 33137\n58686 97847\n17825 33603\n37958 66848\n33776 69507\n5484 74257\n8364 99300\n33742 86580\n13397 17134\n24687 45228\n6077 12985\n14703 37185\n28299 91616\n63202 80993\n53591 99864\n42939 64749\n49 95613\n4365 86377\n41458 49843\n34547 52466\n52330 53254\n3781 62107\n11084 91725\n45581 75512\n18019 47871\n16070 94315\n2369 20852\n42731 75544\n9462 57456\n10618 48375\n1025 46469\n28074 60808\n39331 71037\n35127 96498\n8856 22855\n51286 60132\n16021 40500\n23710 90024\n32501 96299\n482 41770\n24706 98183\n32023 45161\n10446 47714\n19711 63624\n70610 84817\n45987 74105\n27480 92050\n36259 38723\n49417 94078\n17167 73772\n33610 81346\n75176 86488\n9554 42642\n20586 70218\n10596 12813\n9782 48256\n7464 37615\n19105 81968\n16470 83977\n505 32044\n1776 69693\n44849 66423\n72171 85860\n59030 78328\n48368 92415\n33297 86867\n19406 82389\n55341 67477\n4196 58398\n56025 77693\n67713 79997\n24499 66053\n31359 41132\n30091 43201\n931 68728\n59663 83653\n14410 31101\n47718 95998\n57983 82609\n35565 38933\n45966 93160\n57908 99677\n16838 61377\n60710 74675\n59214 93606\n31703 89170\n680 85699\n10828 22292\n4399 52770\n60651 93772\n28040 64485\n6131 84930\n8224 97849\n33983 69112\n58131 71092\n54325 76258\n2153 50811\n53148 99830\n40017 73513\n32605 92548\n51342 66223\n4808 15291\n10394 13440\n28961 82029\n73410 75472\n9845 21683\n2217 85700\n16543 77285\n40661 99815\n45311 91538\n82719 97699\n46157 82504\n31439 96274\n36218 41216\n59876 65135\n86508 97601\n26710 87023\n14771 97482\n18683 60707\n79967 91530\n20624 89026\n59750 77705\n41627 91543\n23121 47715\n54484 67664\n36379 88271\n29848 53383\n51193 57934\n20446 68817\n32951 96582\n26567 55195\n54291 67743\n40312 51902\n53111 98791\n74452 80929\n42017 93812\n20312 67781\n36523 60701\n29304 83939\n9492 51003\n33348 94848\n6125 27980\n48462 69078\n46459 92832\n42400 87736\n31734 34110\n28113 98141\n52609 76755\n27773 56866\n30678 35805\n3865 30768\n45414 51391\n27208 97970\n9604 11793\n31379 69263\n80124 93208\n56655 90801\n26565 36777\n37020 62086\n43279 94105\n9330 77985\n23724 56697\n2348 22569\n32688 59150\n66410 78140\n33965 98312\n57115 61722\n23381 33427\n85973 90847\n1000 4024\n18328 21880\n29309 31799\n22688 66271\n17336 47733\n6289 85891\n64141 73942\n28979 56817\n45028 51529\n44403 50804\n1290 14802\n3639 32258\n20884 63475\n30502 73522\n55067 79064\n67074 85929\n20625 62011\n56121 72598\n18452 98567\n56983 83250\n46029 83874\n28415 46984\n87399 93193\n5341 27120\n22522 52923\n13730 42073\n1906 23957\n70440 92382\n27647 94406\n29823 46772\n65101 90136\n1043 62533\n8856 46470\n76078 76385\n16809 57026\n46759 91502\n51188 60818\n8626 66862\n39787 59689\n2913 41627\n11924 29136\n14874 37281\n36352 65864\n27314 45007\n27363 75188\n39190 74020\n4883 54953\n34053 80401\n9683 33349\n55618 94144\n7386 41095\n10033 16344\n2366 14951\n28801 93653\n9711 58611\n33287 41732\n36732 42209\n49225 55887\n64998 94510\n6049 24931\n13530 94547\n18451 94899\n11596 91766\n67864 76844\n97652 98766\n9300 95918\n9366 58999\n22460 29863\n2937 43763\n29960 62513\n72759 91240\n70487 72071\n9114 38627\n70048 88467\n60148 85519\n36710 88377\n1423 12820\n52399 85777\n28693 87367\n17166 94474\n47655 54975\n5481 87186\n5760 18845\n52124 73243\n7931 97101\n10311 56658\n30729 31254\n71765 74245\n43247 63246\n9094 31270\n15971 45149\n8511 93455\n28837 62344\n21602 47469\n43831 73649\n59540 85425\n58751 71475\n30111 60307\n79916 97379\n13969 41204\n36051 94057\n65381 96992\n49277 95151\n72858 92051\n31154 41499\n39502 99604\n5365 97431\n5608 63945\n7316 67497\n58640 59209\n9521 37834\n28784 85235\n33846 93615\n39510 49728\n60466 94907\n24402 88661\n68323 89213\n44492 59311\n10056 12731\n56325 92657\n21730 56647\n56590 85685\n29879 89138\n8940 39405\n80365 84651\n13165 31343\n26369 38164\n64742 78270\n75877 93908\n65027 89938\n149 66431\n8189 64765\n57347 76524\n30660 87048\n17706 68637\n39340 65951\n49878 58656\n39413 92275\n13109 74298\n19857 30874\n26975 72360\n38352 82913\n83543 97533\n42053 83740\n88793 91080\n21965 86867\n14713 48093\n20964 37701\n38442 84867\n8104 51087\n14096 34629\n42988 70398\n83962 99670\n67796 71485\n24461 38141\n342 61020\n24502 83377\n493 30865\n33448 34253\n90973 92527\n18077 50358\n15441 23243\n84401 95388\n2721 10527\n53300 81990\n34018 79576\n15073 58409\n20768 29360\n27442 69438\n76688 82471\n6091 71482\n64818 66715\n50054 74580\n8680 32604\n67846 73544\n48457 51055\n65659 67036\n57462 98648\n17137 67956\n2604 67502\n32809 95339\n50200 82792\n16516 69424\n82379 98377\n53308 73730\n85046 91961\n44161 65427\n17081 71523\n13626 91398\n6110 75214\n57419 69766\n49918 88162\n16602 86263\n21148 44158\n3274 58587\n2239 76772\n7948 76870\n16988 66510\n22602 67832\n13311 77711\n89544 90361\n26644 63464\n65435 79636\n61507 67030\n24440 69975\n6580 9935\n49298 64514\n29996 79703\n30637 45235\n38637 84285\n51600 53497\n44197 47185\n51119 88497\n65917 94145\n4116 20624\n62211 80241\n2352 92508\n15351 59813\n21564 31988\n2557 6317\n39777 43250\n24295 85723\n13669 22494\n15557 78781\n23021 33276\n4774 67606\n48842 96286\n30512 58156\n6497 90578\n6897 15545\n20864 66482\n12613 26255\n8590 42544\n36434 50033\n21820 58892\n11732 74600\n8287 97202\n6976 76414\n35186 43327\n32592 58310\n74488 81616\n25498 62768\n45325 99400\n131 91145\n39895 55269\n26820 59871\n10022 11520\n48313 69251\n7212 65825\n35305 76879\n31817 86415\n28208 57173\n89382 95065\n74559 92917\n47224 70304\n16054 23209\n72957 75737\n26523 47967\n22881 37880\n874 37840\n86226 95541\n23186 45971\n15778 50325\n6958 9983\n2444 57130\n4602 50760\n68395 70469\n4021 52868\n46686 54922\n24051 90199\n17961 85458\n6351 93814\n10357 76222\n5278 13027\n75125 95356\n46819 66585\n18334 59620\n3928 13151\n54258 69976\n22211 30053\n77613 84812\n54329 70378\n92875 94035\n20306 86825\n45387 64392\n23270 42526\n34445 37553\n47108 65364\n12913 56065\n7530 17937\n69296 80004\n33458 83680\n8541 32103\n36510 48759\n30530 34113\n6903 52079\n28411 51042\n19431 89563\n27625 66632\n4893 53714\n85339 89719\n3670 38687\n57959 74036\n47749 90665\n31158 51618\n38513 55422\n312 64296\n35776 88983\n43515 57616\n10929 84046\n18063 88791\n83211 95804\n29987 92717\n1477 5468\n45464 77873\n48314 84123\n78995 98171\n29245 63524\n3511 85626\n52422 60463\n65209 66094\n36033 51743\n76502 79473\n71894 95571\n6874 33905\n35036 86367\n1469 68306\n36239 48804\n77009 99151\n4978 93311\n52243 83019\n4176 91798\n27409 41226\n65890 78989\n30427 91612\n43767 82871\n49282 68869\n52437 69166\n42972 61725\n1506 68717\n3162 76915\n37801 38287\n24184 26929\n6968 38075\n23635 29524\n25313 87015\n21142 53613\n46530 56252\n45624 51177\n26591 93076\n10237 29842\n22919 85879\n28761 88341\n56126 86847\n11400 65791\n31458 63209\n14866 77147\n30917 42412\n17060 90400\n16663 25712\n6884 12625\n43495 88280\n5626 76941\n11305 26812\n21611 61913\n57316 99754\n26524 76464\n13300 22930\n45820 75194\n14756 20078\n778 41769\n6344 14169\n53508 56803\n3640 73904\n40205 71312\n42463 89834\n21434 79159\n11608 65172\n2372 94452\n57281 64372\n85175 87330\n40284 91802\n51757 83655\n77120 79670\n30326 33657\n12385 73494\n41128 64289\n61165 93601\n13983 35651\n23670 91624\n416 64305\n11907 98532\n68597 69577\n48332 73769\n20364 40065\n1723 48265\n2618 43317\n14931 55400\n29225 57618\n26970 66549\n22627 50629\n35202 92805\n22964 53065\n62863 94044\n35418 47208\n96067 99402\n4023 33608\n15174 17428\n13357 22020\n35438 69052\n27236 32657\n76166 78195\n22851 83110\n26554 74366\n46340 86164\n63011 82454\n37985 81607\n1625 77836\n1327 19555\n33452 55317\n77451 95742\n72977 79581\n74132 76762\n38552 83087\n3498 80124\n4924 68722\n9221 32617\n8168 26682\n5748 93495\n53063 66982\n50690 74058\n6823 65246\n16298 99220\n21757 38181\n12029 34616\n14760 36982\n19204 92636\n82585 93340\n3044 60183\n34554 95558\n33735 60172\n56474 95092\n20237 50782\n43322 47490\n21969 67538\n18111 52452\n17920 98514\n11189 70548\n18119 32706\n23244 32073\n6775 58541\n49353 55145\n15010 73448\n16807 90611\n47017 55295\n24041 29048\n88043 92467\n53585 95143\n60416 70833\n21170 37278\n49394 93509\n26258 38588\n8747 27744\n45 56512\n11266 25815\n89368 90293\n29138 29721\n3711 88109\n53829 71704\n6095 86286\n35222 84070\n31200 51319\n6843 90151\n19644 32712\n54293 81505\n20365 49863\n34256 81619\n18514 23251\n29162 51882\n697 56515\n2003 28906\n17539 39438\n35704 88279\n26910 69859\n11226 62243\n33867 43797\n3044 70886\n3077 68847\n13124 43776\n96437 99541\n55141 78401\n12229 39663\n33124 98801\n89850 95114\n57597 96080\n48459 58417\n49269 77447\n50061 50072\n32948 38580\n22109 45520\n28117 87003\n31009 54561\n33878 99417\n5315 69012\n19941 68705\n29169 70158\n37409 55680\n26759 96940\n10501 11577\n84412 87157\n44470 78181\n19268 82165\n2666 86787\n55727 97829\n23059 28166\n20151 25772\n27810 77632\n1617 88277\n25181 39722\n28509 46030\n41715 72486\n48120 51629\n82606 96588\n19972 71311\n50864 54872\n8073 77591\n72636 89183\n64548 66215\n34924 39470\n48820 65560\n32280 46597\n52002 57477\n65305 74177\n26953 70252\n12386 26231\n82957 86152\n37164 54091\n30793 52008\n24719 68138\n41362 98108\n14983 52830\n35256 65870\n17763 66572\n64280 70085\n39322 83293\n230 12009\n18705 48990\n29890 87895\n38926 68304\n24316 79228\n34847 37853\n3775 23476\n15543 90005\n46382 60289\n49164 62432\n279 43523\n56689 78782\n27349 63106\n5494 47476\n11478 66232\n11970 52740\n41445 51749\n3352 49782\n3772 64003\n13181 60185\n56393 69930\n65969 71701\n18344 25227\n29901 43538\n2780 60887\n66684 72070\n43680 92967\n71371 81571\n643 90295\n15799 92991\n35013 53192\n1748 5905\n21447 29971\n7644 31772\n7905 55568\n18926 52924\n42104 99005\n17 13043\n69312 70257\n76399 96258\n8579 28646\n1704 26119\n33566 72329\n37633 67640\n5105 60973\n46101 95354\n13445 94349\n69209 73876\n4586 12240\n68513 89516\n31293 41950\n31168 45810\n11091 37705\n33700 90219\n10686 46654\n19520 37704\n8898 78692\n29283 52870\n25392 80734\n33058 60408\n16845 41340\n19376 94608\n19518 81560\n25384 74491\n42894 67192\n12113 31441\n20078 51047\n2162 79021\n1048 51137\n4139 4338\n33571 64537\n55327 60794\n1175 70365\n12112 34738\n8046 42279\n32622 65246\n37930 52056\n11053 84110\n75106 77829\n52432 85730\n63093 97079\n37240 88865\n28036 30373\n40033 90474\n81319 86395\n85594 87710\n45361 78608\n10133 72743\n12333 71858\n70426 98951\n1487 76601\n21291 59737\n1586 4517\n47125 80417\n28835 35481\n61320 90083\n12240 67655\n27111 86769\n65731 70668\n18167 71999\n49236 69484\n13888 61881\n8296 21270\n71474 72113\n21724 48914\n24973 60087\n15364 62705\n32492 71173\n54826 60136\n26910 60808\n17584 81439\n1425 59694\n39438 87880\n27938 28715\n21615 75521\n42703 43722\n64638 93831\n21171 80202\n37876 90054\n28672 46858\n4465 25240\n22120 84673\n37806 96626\n42983 80340\n3351 23150\n4104 58019\n19609 59573\n55086 94312\n59540 90860\n80908 86643\n20332 86285\n9480 63195\n36280 97548\n6817 47364\n21703 71328\n53604 74013\n56539 98864\n24088 50547\n31672 61353\n37938 65857\n62796 99645\n40507 79960\n39959 66088\n9249 9378\n19392 78272\n26650 59864\n60392 95960\n32407 53444\n56014 65969\n50398 61313\n48309 85643\n37069 52064\n68876 97427\n76032 81379\n79148 96963\n7811 94355\n55252 82385\n37685 70344\n71091 97560\n31642 81548\n17000 97573\n12325 63765\n10236 40396\n61931 82950\n80052 85251\n68503 73855\n27584 72658\n39914 54876\n22867 29596\n9855 71942\n29157 86885\n12793 36544\n30428 55476\n74750 98179\n17674 69313\n7082 79125\n24855 69544\n21073 92877\n11646 40903\n12229 39876\n25916 83222\n22192 30006\n40913 86036\n29476 94020\n46841 56804\n13187 48131\n50576 98447\n44786 91253\n6377 86501\n16976 54426\n65878 71449\n70492 91676\n75751 82921\n11324 78897\n368 67406\n32634 63634\n54558 84509\n24161 83778\n18942 84467\n10058 70435\n90624 98763\n56430 63682\n22309 73177\n17059 45838\n49542 64796\n18099 50449\n62516 83543\n83375 99677\n56683 58989\n9296 70357\n41932 72963\n13798 99840\n12463 86985\n22650 63870\n2686 7504\n313 59702\n21227 62995\n27652 83880\n50740 62546\n22993 36838\n38390 47255\n5127 21591\n5084 89758\n66728 68834\n76167 97201\n92105 93691\n5310 66480\n3450 33124\n19479 29361\n11672 60354\n29253 43842\n8438 35427\n80275 85482\n14220 24367\n52172 79889\n8107 94996\n59753 76645\n2768 99682\n68212 77927\n20543 97919\n34077 99180\n31063 42959\n25516 92102\n72328 93744\n50342 66342\n34663 66937\n79455 81045\n2173 72228\n4951 80604\n26241 90555\n15125 34784\n4924 7989\n770 52737\n65621 84490\n68006 86917\n39129 83119\n30527 37736\n35533 97285\n56082 61763\n31605 55235\n336 37640\n39800 56955\n30253 98873\n62704 90124\n70966 92878\n57686 65320\n13885 87919\n30703 76213\n29732 36915\n55139 92264\n16434 29545\n66640 90404\n66358 89191\n58125 88554\n34763 83653\n85999 91182\n15104 73360\n89998 97097\n17588 86792\n7197 50910\n10889 21121\n52445 65309\n8905 69128\n78740 87170\n26679 63256\n28815 65154\n92393 92997\n27271 81449\n62237 90324\n9669 59862\n82743 87438\n71678 98110\n34215 59517\n60061 74377\n4014 34371\n36402 79780\n6014 96448\n14443 64960\n5150 77380\n20713 53190\n2225 91734\n6831 43154\n83382 91096\n22043 72828\n138 63350\n26887 26937\n48598 58339\n22524 84875\n88095 91430\n21437 65078\n19223 92164\n7032 10881\n66795 97124\n31265 34812\n56161 59256\n17539 40399\n54247 76175\n52489 86070\n5541 97930\n62628 90440\n59473 74066\n30550 93332\n88376 89032\n21084 65455\n15256 78851\n9397 83481\n73187 79077\n26527 64325\n28187 81520\n42931 98636\n44815 84752\n24432 37007\n25970 51456\n12749 36967\n10482 44754\n54257 73115\n21590 85100\n51663 65518\n28783 79948\n70719 88037\n4391 61040\n49839 95874\n71905 96017\n4430 38884\n75078 99246\n40566 57449\n31318 91317\n3899 6599\n24343 43624\n4370 34968\n938 40578\n12415 99186\n38447 71164\n51526 73464\n42001 71000\n6763 27492\n31959 94235\n40336 75245\n4400 39408\n84733 92020\n16980 66785\n13730 44114\n35664 50396\n15783 78502\n54836 88647\n66352 96743\n93209 99845\n22105 24908\n12044 73120\n46544 47078\n3950 55920\n27281 85607\n1468 74600\n40909 46387\n24064 77387\n53596 94191\n42577 95824\n41265 81853\n27978 48198\n39082 57368\n64581 87525\n22879 55111\n15129 51055\n82957 84429\n37250 66287\n5984 78930\n34490 85187\n24571 72776\n77842 84426\n40536 89693\n42910 53057\n19791 91754\n20834 29977\n55555 85154\n4902 89854\n60040 97443\n54567 65564\n46723 79216\n42366 51490\n62982 65557\n50115 80158\n26239 80148\n53448 56630\n12295 32365\n10071 47812\n20919 60590\n15772 34902\n38060 85192\n16774 74606\n26619 44088\n29983 82119\n32706 54467\n3983 82073\n23564 49389\n39036 94012\n14116 92258\n32991 51381\n25138 41967\n36745 62500\n4927 47726\n17999 59027\n98612 99080\n75664 90225\n80026 81551\n83186 93980\n3436 9930\n4360 44423\n1361 20240\n76242 80303\n26141 89027\n67439 99451\n59111 65364\n3208 44655\n23129 64389\n1789 66767\n12626 31377\n19667 24921\n5848 64596\n45978 57390\n10696 13095\n19549 31842\n18977 40313\n31545 32565\n50117 54198\n80038 84049\n57668 99956\n8036 29251\n35182 91162\n12760 70749\n44591 62374\n19317 42456\n1846 41820\n17284 57080\n6601 15716\n6143 80680\n60385 70045\n23277 95907\n7540 40705\n17934 80245\n21969 22794\n86473 89974\n38867 53006\n10480 87534\n73414 78002\n16589 86808\n51761 95792\n16095 87368\n90624 95419\n6749 20937\n37356 38180\n34691 49086\n42728 98144\n11943 36921\n21734 97005\n40248 54567\n28107 67225\n20616 73289\n39561 69140\n12177 90155\n54122 66612\n55661 68621\n50989 64848\n16107 62961\n28189 69681\n74523 97030\n31431 66344\n32554 37725\n3749 23241\n28687 89428\n1980 45602\n2130 33350\n2700 78205\n44737 65427\n65254 96023\n20188 31683\n3903 97848\n56354 70155\n16692 33942\n57275 98378\n19769 88650\n9179 49117\n35305 53709\n66393 93038\n37863 42301\n75761 78204\n17283 39980\n19998 30894\n12308 69980\n2913 41994\n20634 83776\n3931 85883\n11868 61529\n1752 50089\n88302 99323\n12485 93493\n25057 37885\n3962 84442\n36387 68337\n11257 21861\n9489 67103\n24303 49618\n20198 59096\n10794 94625\n26954 38026\n7861 62390\n8392 44657\n18200 54795\n52837 87546\n28350 92449\n63231 79467\n24411 36787\n13435 90745\n69599 82314\n39086 94210\n67519 74566\n16785 30146\n80830 97269\n10371 45006\n84625 92526\n79372 90138\n705 80911\n33570 74706\n31911 67416\n17643 78815\n14766 33112\n51178 59015\n11402 80882\n87948 96598\n28462 42566\n77755 82084\n16259 91132\n55838 77344\n23835 65332\n58828 67751\n18312 79983\n5890 62585\n7541 18676\n15853 81310\n22137 49107\n50125 77933\n15607 97112\n17257 42802\n4530 45566\n4660 85949\n47722 96587\n82106 83099\n87779 88455\n1569 3386\n10512 55303\n44277 65756\n40439 61757\n867 93137\n15104 51938\n6612 68657\n19430 82023\n19795 78099\n41242 67064\n53336 69540\n562 71605\n14361 68447\n6775 21182\n30202 53691\n739 66981\n33257 65338\n34138 37415\n26209 70979\n37463 41672\n23707 61712\n60613 86466\n29074 96438\n4723 54810\n76060 79833\n9370 25209\n52099 68989\n15768 62676\n29624 91372\n6916 81496\n2699 84714\n23069 71066\n87187 91341\n80804 98927\n6684 95586\n64384 71480\n21450 99487\n33127 88545\n27517 58866\n4359 92605\n28326 57649\n53595 54567\n49709 75851\n479 34720\n68617 99018\n18286 47870\n6415 38574\n3029 64685\n11476 84716\n25050 84212\n10313 56581\n22838 75346\n7046 10696\n2917 5994\n28155 58112\n74349 81851\n31010 62417\n25796 41795\n36880 40403\n66996 92584\n47682 73571\n12037 86514\n2420 22594\n72736 97584\n73246 95356\n37085 71734\n34653 98669\n45403 76600\n2293 68638\n48274 95814\n43786 97019\n56431 63821\n42697 60997\n7108 68148\n23276 42080\n53906 84992\n30879 93055\n45021 47925\n72841 94485\n21942 83618\n377 55525\n25523 67798\n15629 18144\n59604 61195\n11244 13075\n34851 41136\n5610 13168\n6167 13256\n43222 64493\n37633 41953\n73890 98616\n45761 49750\n5431 97130\n74899 98458\n6572 42676\n28951 67643\n35529 63792\n24986 77044\n29961 77481\n12583 63365\n25909 59384\n7504 22566\n26643 86279\n5746 33739\n47558 80233\n69115 84918\n21358 76330\n33406 69998\n8795 21704\n22564 63256\n23739 34384\n46220 97456\n26625 58318\n63488 83109\n11734 39155\n52929 80293\n54814 78370\n24391 59572\n31559 40942\n48168 52316\n16585 20198\n35959 65956\n57083 61488\n68041 89817\n4728 14729\n62028 66998\n22580 62729\n6117 13847\n70359 99796\n12422 48570\n41854 43151\n5524 6077\n59097 92290\n55953 95537\n51224 66195\n56376 98985\n4142 35835\n24541 92886\n2707 97229\n79029 95434\n40463 42027\n53176 84158\n32724 99851\n40749 74989\n12349 90324\n8058 8885\n18737 86335\n36892 98707\n50902 65126\n58591 70843\n1005 38973\n29433 64355\n6648 21933\n24888 32150\n54667 55286\n27183 52353\n5234 74460\n52377 72210\n62277 73054\n16245 89532\n66540 77171\n85659 94204\n4570 10333\n34422 85979\n67796 83010\n3666 54299\n74757 82032\n9977 38326\n19620 64620\n52597 74000\n13542 71435\n31926 64043\n36139 94261\n43569 70916\n30773 35249\n83852 87521\n38702 78229\n57464 87585\n50695 61661\n23504 99412\n15139 22040\n46202 99652\n19321 20697\n77543 99450\n9088 51854\n36672 72525\n2274 34345\n33382 39991\n42618 79638\n55618 68006\n30233 60866\n57550 89753\n47743 61151\n61046 82279\n819 27028\n92231 98040\n14294 42391\n65421 72325\n1407 56005\n69468 73292\n33538 37435\n28640 80134\n38576 87885\n30821 51998\n51284 51651\n55014 62744\n50755 55753\n61600 74007\n56659 95188\n18568 43997\n42059 92446\n41710 82227\n6059 56909\n76234 82366\n4301 50696\n33952 69757\n79927 95039\n23373 96320\n23715 88866\n12773 41075\n10184 28133\n44079 70120\n57927 87989\n25274 60029\n49688 58030\n29979 54136\n8827 67129\n19803 61425\n33960 88745\n8923 71296\n29831 83689\n18409 58564\n4431 75117\n26269 84299\n21285 24040\n67371 72732\n56328 99697\n44426 58594\n5532 7174\n31369 36536\n28770 80190\n46162 65134\n47421 77977\n32975 75875\n10724 48242\n76052 80951\n13470 92437\n22075 66379\n35602 76436\n26999 44443\n62350 75076\n72084 86795\n51303 93383\n50461 58415\n37011 87877\n13043 26970\n70239 89228\n441 69062\n30741 45546\n17122 79431\n25333 51023\n5181 6831\n38486 98438\n40532 88633\n50061 66289\n27920 44710\n59626 59734\n20875 49426\n71223 94377\n3519 77970\n5557 9923\n15652 51119\n52700 73000\n9340 55723\n70742 71841\n36198 42878\n49335 92223\n27902 42205\n20921 57377\n24435 46561\n13182 28200\n16433 67177\n4339 6614\n27017 46884\n19655 63253\n10789 56720\n41009 46056\n48940 66561\n6523 43310\n10054 43437\n40107 40371\n64123 82870\n63274 97321\n4637 25909\n61077 80786\n82856 83027\n29807 55179\n54229 63587\n39823 44947\n52335 85752\n35433 37520\n20090 58341\n19522 85709\n46614 50191\n62846 87138\n49578 71657\n6940 45710\n65899 81094\n30291 67399\n67192 69920\n36250 99530\n60184 80841\n79829 85136\n78783 78996\n2456 76254\n33075 67160\n55999 87669\n10591 72891\n43058 75224\n40355 42533\n56767 98703\n29507 33455\n10732 21568\n26923 67929\n14245 26335\n33890 85163\n9480 86309\n42042 46861\n42681 52824\n1947 53410\n71100 77423\n25014 31115\n483 4678\n8307 81205\n57357 60824\n27801 47138\n15488 56360\n62550 72559\n29652 83747\n11844 66061\n1830 50185\n31635 76678\n35721 65721\n2433 64200\n2292 43879\n81 60020\n81573 91975\n20179 95388\n4689 56913\n74980 98119\n63096 64388\n29317 80879\n27062 51631\n4723 72720\n433 20995\n57774 88407\n57274 63325\n11175 95126\n20797 74859\n59115 72537\n5757 41168\n23331 82347\n3606 96459\n71949 85356\n50679 97569\n36773 78771\n55149 72851\n13820 48421\n20239 84121\n73237 99557\n5106 38805\n42751 98799\n18671 18875\n32191 78430\n12381 75148\n10802 24101\n16697 76250\n23054 36458\n3966 96072\n8802 94579\n57901 75196\n12543 93057\n1360 77836\n81108 97745\n51948 71911\n59889 85160\n9675 38123\n75731 89307\n44058 64984\n243 93374\n26424 37554\n55049 83568\n13377 19771\n10835 89998\n5387 76910\n71423 74086\n60904 64167\n35782 94113\n14594 88978\n35121 60892\n8693 65263\n49660 96027\n30333 83786\n7147 31330\n8014 70443\n31568 33054\n2170 43306\n19057 74176\n66056 82806\n21982 25590\n57859 94076\n30005 84854\n36820 75151\n5393 48026\n3130 31493\n9373 66795\n1257 47982\n12333 53714\n6849 7128\n18848 20481\n4430 57912\n32801 80594\n55644 94606\n19304 75217\n41222 93805\n73139 75859\n41182 59664\n14425 59878\n11764 73637\n5236 20256\n45997 78250\n62994 81136\n46263 72810\n20487 32332\n68622 89925\n24123 89219\n27807 98526\n35540 74592\n13558 73888\n17783 63594\n45118 68888\n43902 67928\n49760 78597\n7075 20485\n62842 67318\n62540 83568\n61845 94701\n30902 72400\n24947 32460\n75519 90777\n32388 32547\n5678 98325\n21508 96191\n30592 50828\n57535 70240\n31311 68431\n61178 91299\n38987 57033\n17586 95480\n24705 96482\n18838 68685\n5360 49186\n51183 53118\n8898 60657\n53140 89561\n24876 47924\n56599 96338\n69744 98614\n26639 60481\n3063 17266\n69070 72245\n65966 79109\n39359 89488\n34107 35827\n43467 48741\n32114 61664\n4003 53942\n15198 38270\n61153 65870\n8870 74109\n56554 78151\n14158 61917\n20643 68808\n64330 78414\n24214 28609\n40560 82203\n10246 55296\n26231 43745\n16760 18543\n37752 57701\n56543 93888\n17487 44236\n53726 65334\n14090 15178\n86442 97527\n25523 29858\n15859 73766\n31427 44629\n16978 37192\n48488 51191\n78871 89085\n64755 96196\n47895 83717\n28114 83326\n31141 56314\n34626 64189\n8683 14030\n61102 88344\n20368 92055\n11568 91557\n61788 93356\n31054 45117\n67779 80348\n57793 89143\n44635 46825\n59438 95578\n31211 44619\n52258 65595\n14071 49104\n28566 95545\n16105 17939\n48200 84871\n45079 75129\n17842 63787\n18273 24425\n2015 68209\n588 42789\n22230 79269\n58305 92241\n31469 86521\n13409 51511\n3851 96126\n23117 40685\n34711 67356\n31809 66846\n67284 96203\n18606 29854\n31975 54342\n43925 94015\n3662 32863\n84207 91157\n41674 69486\n11286 84101\n53885 81767\n25516 86208\n21024 79403\n26165 45495\n45871 77494\n88195 92415\n24360 60918\n20100 57272\n70834 78309\n25316 68370\n48143 96367\n26146 64992\n10251 85849\n95841 98332\n10524 33424\n18193 60719\n4749 50388\n45319 56465\n74947 98408\n43880 96464\n45795 54727\n5219 38214\n50628 91132\n41369 82592\n12878 20663\n48418 58360\n7812 90597\n20391 27966\n662 96810\n38227 79332\n90098 98001\n37898 84488\n18240 31722\n33233 84496\n36659 78148\n32057 42383\n1898 25782\n73974 77790\n73269 98643\n51119 97052\n25324 37952\n64951 81605\n29454 46301\n9356 72723\n62339 67487\n13383 63656\n44541 92108\n3065 37363\n49081 90246\n7455 9873\n37146 72139\n6498 99346\n205 35045\n7234 11769\n49233 52781\n31994 76498\n48965 83253\n14389 90686\n26261 37972\n30226 30958\n71592 99844\n3423 83518\n17500 21374\n48061 96290\n5643 65577\n41752 57611\n45444 81869\n6995 15052\n7024 8399\n47842 91854\n15297 56345\n23933 84486\n77016 91410\n26358 29428\n72906 83632\n43096 69537\n62813 72090\n36303 98931\n23309 52687\n45727 74436\n85131 86536\n24958 91571\n13954 66408\n59922 82325\n1554 73926\n10666 84215\n33813 36222\n3735 57143\n23388 72556\n21172 75257\n58125 81118\n49382 82373\n80414 97660\n54522 99338\n16011 87897\n10562 16037\n35816 70250\n6071 23279\n19161 87440\n17 9469\n61510 85179\n35844 96538\n8536 27011\n13453 21717\n54075 77828\n1770 75591\n98324 99124\n8202 27467\n64092 96401\n17115 94662\n30662 86011\n10326 49955\n60934 72919\n55575 96844\n12859 77278\n64028 92519\n1300 53533\n9980 95357\n15974 49241\n17396 65914\n3622 92817\n41915 84356\n76407 84577\n26738 40542\n38305 43299\n59131 72018\n54942 81331\n14866 95037\n989 91043\n23720 99418\n35458 80868\n43650 90135\n46656 95892\n3372 26381\n56236 62315\n87630 98839\n22425 91753\n50798 93398\n33747 88045\n9836 89892\n49779 64554\n45683 80421\n60900 87857\n1954 50148\n15463 81611\n27745 33492\n24206 68190\n24460 89594\n6578 63623\n19268 33716\n14878 47020\n5653 62127\n21381 52398\n23647 76221\n14196 34710\n26567 85177\n1439 73029\n25251 66313\n83116 92162\n28061 58464\n69585 75024\n9215 57496\n57072 83984\n50192 73380\n8080 75086\n41743 66346\n678 3237\n13535 76867\n41602 96209\n29724 61320\n10026 24106\n22323 37137\n82706 98297\n4075 39561\n14319 25796\n60922 65554\n75199 91727\n22925 94603\n67235 81305\n74182 96958\n26515 59156\n7729 97789\n63081 70880\n71269 74438\n15887 80035\n25921 48786\n27465 77964\n20629 27996\n22816 66210\n23464 33057\n38595 96681\n2983 47789\n7165 16658\n41241 96453\n13799 68946\n20064 34456\n18341 38750\n34130 88136\n45610 74876\n39686 64474\n12653 60914\n55965 56622\n61193 90732\n37024 61422\n25630 26008\n411 61235\n35893 52324\n43386 94468\n77337 87056\n42135 97487\n19334 55834\n7826 30530\n3188 88589\n45390 80812\n14476 71448\n13400 14817\n12223 88599\n4298 99691\n17232 83299\n4900 99117\n90805 98204\n12993 49841\n2050 84856\n46041 66109\n53740 90941\n26904 40127\n68795 91954\n17750 89222\n46243 53656\n28858 74821\n54533 74852\n2123 48544\n41160 80970\n59241 97656\n7910 68016\n6621 73938\n55268 79429\n22883 65120\n27002 31711\n4274 53826\n8246 52399\n38850 92077\n30358 49052\n15666 86953\n6100 76588\n25659 74992\n46964 79350\n45056 67817\n58535 65958\n14728 82848\n31897 61043\n83308 85707\n12653 14115\n11302 51831\n1818 39079\n19000 84999\n82249 83349\n6954 9816\n86659 92008\n51873 61181\n47203 93694\n27381 64057\n35512 79623\n11797 85002\n87977 89058\n12651 41129\n3121 86009\n43347 45844\n1308 14963\n3717 12407\n73360 77115\n44375 82444\n22988 26063\n16866 53117\n42106 77162\n82832 89230\n8974 76764\n2376 11843\n32186 66890\n12439 34178\n7859 92986\n33176 81589\n20343 77380\n8977 33144\n24795 91106\n6410 44596\n37997 52085\n10311 34543\n21443 66961\n58119 80223\n11310 25033\n49338 58198\n33306 51868\n29242 46437\n50598 99360\n20808 75840\n59358 97437\n1733 22166\n27335 36318\n62664 69792\n27391 88121\n34960 81311\n20340 91090\n10834 93663\n48371 98946\n25688 26294\n40323 49563\n13152 58665\n47904 75899\n45508 57021\n54123 73667\n64300 77561\n18129 84765\n10075 39497\n9929 78836\n14950 93968\n22955 81638\n54398 90816\n12534 27378\n20608 59081\n8442 92187\n17271 48435\n26949 52610\n21758 94905\n22455 80016\n42849 98029\n60820 80493\n14164 97831\n97 32756\n22222 79849\n3758 59977\n35811 44738\n10373 83904\n4075 96452\n16997 84163\n92035 99875\n21681 59416\n33502 89446\n12412 45643\n58389 77071\n54003 55115\n26204 52804\n6153 78188\n65123 96161\n53803 79754\n36158 49598\n14468 79936\n307 18742\n39501 42123\n33038 92782\n81221 86165\n42053 80751\n10028 14420\n13102 21413\n12879 89367\n5781 68493\n1090 8633\n33715 91977\n19003 63972\n86749 88297\n48543 64381\n19451 85247\n17510 73371\n1717 17952\n28071 97077\n54409 87388\n68340 94824\n19084 98930\n5422 74514\n3377 46862\n10938 81811\n3207 36837\n28500 74324\n3833 46470\n12357 51459\n14950 42314\n81814 90830\n32083 46372\n16501 66452\n78666 89230\n23834 55550\n33401 52187\n74552 88267\n2672 97814\n14301 36064\n54349 86585\n92741 95453\n31081 58454\n29669 99012\n63321 65224\n31636 82281\n38624 51464\n62497 91660\n78236 99303\n40547 78220\n66415 73335\n27024 61494\n44816 63235\n7840 50008\n71568 91413\n6038 75455\n32551 53865\n21375 39881\n13596 30116\n12395 71623\n1120 97190\n10138 99610\n22673 85858\n34837 83759\n3686 86686\n73121 76019\n45399 74959\n10950 16961\n75318 88105\n40777 68017\n24683 35831\n2485 36774\n37802 56461\n35331 94344\n7579 81947\n23604 99980\n52292 59243\n66270 76904\n861 8052\n1482 38582\n55285 96702\n12045 43534\n17651 76203\n71344 91163\n991 89737\n78591 97052\n12565 40658\n17968 70025\n25052 26798\n25814 38017\n43359 66949\n41118 95519\n425 27545\n33936 86005\n7891 80006\n11924 56558\n45784 87481\n47847 78005\n83796 96017\n26475 28694\n60139 64483\n56291 83968\n43566 51467\n39536 73175\n709 34377\n30629 52259\n22509 22997\n35647 59605\n40178 98131\n22581 88849\n46112 68007\n36408 46363\n34545 70100\n6067 26926\n1780 16929\n34198 84016\n43809 89981\n21659 83514\n3775 65498\n75472 79356\n2722 13354\n22906 23212\n27936 81875\n12222 81563\n39969 52956\n25294 46633\n68543 94950\n39945 78306\n68254 89385\n30106 91165\n14485 67106\n34736 44494\n49708 89894\n28469 97020\n16326 98322\n18769 78213\n24344 83398\n78858 96746\n10464 53192\n83644 95572\n45225 76278\n33423 84268\n79651 92601\n11936 54523\n34703 36215\n4350 6007\n23521 71640\n40052 48324\n9640 34043\n42618 79626\n23934 94566\n41811 52737\n4198 67963\n16036 73868\n46385 48724\n15025 52492\n14382 73451\n28569 33590\n13787 82561\n18503 64803\n64718 84069\n70663 85686\n33309 53867\n43292 76947\n31985 59287\n22604 60875\n21922 72538\n91622 92015\n65527 76269\n1420 70168\n66410 75898\n34150 42287\n66410 70485\n9263 9646\n31390 70181\n9842 24138\n48446 86443\n34268 61774\n1580 88669\n18034 46235\n44694 73785\n650 50387\n38644 60871\n66628 71090\n31690 36799\n9460 49804\n23215 54113\n6957 75511\n66772 81185\n85764 88494\n29201 83776\n41096 45497\n72726 82257\n34433 50642\n80578 83513\n48136 59375\n12576 63252\n66603 75621\n18175 97135\n42589 53763\n111 20023\n64360 66120\n20465 26075\n6722 12742\n41033 60382\n30531 41148\n833 1994\n73953 75438\n1952 65470\n3425 99028\n8072 14763\n15783 85309\n25525 99503\n49191 75551\n21060 64299\n37621 43147\n554 58200\n28491 63025\n60844 79225\n34635 95782\n9017 75692\n3428 69242\n80022 86694\n24577 83577\n23147 53438\n42602 90131\n46758 56189\n5621 62770\n4458 27124\n2133 63991\n2078 88195\n28931 76238\n56665 70410\n22274 27171\n35114 86491\n49007 78062\n8546 22708\n50386 57379\n25843 94790\n65110 76099\n24309 62634\n13744 27470\n23708 53159\n85375 90212\n41800 46718\n33723 41573\n58251 91558\n3829 39616\n49209 92908\n11304 30001\n30881 86221\n57977 96548\n76176 93049\n66858 93882\n24549 43195\n44391 79989\n87407 94494\n5420 29017\n31372 35623\n69522 71308\n28787 58474\n688 33830\n19121 48187\n39464 72459\n36732 39615\n18141 84931\n77220 79241\n8196 18956\n64263 76378\n17313 37317\n16564 31025\n31364 44027\n21965 92342\n8932 56452\n24384 35580\n5987 61764\n56768 98703\n37415 64715\n59927 73296\n32421 93645\n22439 22861\n4851 58231\n12250 26417\n11012 38332\n3765 85404\n1658 78079\n5585 18518\n29100 49523\n13182 40828\n7395 86859\n58522 69034\n19473 37338\n8549 64594\n2085 69381\n68205 86729\n67696 86822\n81876 85966\n1638 27522\n87000 93538\n7935 66023\n4353 75547\n2518 35585\n46720 81259\n91717 97412\n21056 62653\n38634 62508\n32438 59250\n11292 74325\n9347 80143\n60799 92939\n7652 85614\n81708 93433\n16909 57657\n459 88218\n12401 13349\n21641 97624\n7191 93578\n4098 28392\n6140 32072\n10180 15084\n24395 54077\n34168 63498\n45601 48516\n1826 39172\n47716 65477\n17316 19539\n21676 26930\n68 5168\n472 27139\n18052 73205\n31941 41939\n59143 70949\n10777 22511\n52302 78425\n15119 39901\n15213 29883\n23792 77242\n5015 95413\n9222 70297\n20183 72359\n37446 85730\n21737 24173\n35534 50343\n4586 23361\n9208 42943\n1945 63434\n7354 90933\n10586 58282\n32757 68301\n62604 79879\n8870 60966\n76566 97686\n24537 71278\n6767 67356\n26879 27508\n15754 24007\n57058 70149\n14300 71121\n88470 93797\n43741 91023\n17003 30963\n20096 33966\n65643 68425\n66722 69654\n34882 94192\n27636 99467\n85408 98428\n58392 75221\n20564 52947\n59805 87388\n79743 85956\n28643 37383\n20614 94926\n8806 46491\n32212 57848\n26478 55213\n63574 77132\n35625 97518\n12245 25661\n58871 60913\n14203 76455\n27474 52433\n41649 73489\n19529 62017\n2784 17905\n21819 47709\n23762 65869\n29039 61387\n3432 45975\n88568 99768\n1017 30610\n11376 36662\n43065 55200\n19282 70338\n48541 90609\n74992 80712\n12876 78883\n47008 66058\n50141 87546\n38931 89982\n73352 74129\n56211 64159\n30448 99423\n28116 86759\n42411 85780\n22677 97674\n17997 34275\n23502 26492\n51767 85161\n2853 7915\n58592 95540\n28825 42045\n31842 66497\n94786 95633\n73047 80443\n61572 75227\n16641 57089\n62513 81729\n33649 47237\n14645 64598\n88975 94359\n17726 83173\n32559 95701\n40240 59098\n24182 92016\n76167 85089\n22557 90144\n78262 90122\n69766 70364\n34406 90575\n29114 76305\n19720 85147\n9410 10553\n12941 83100\n78113 83580\n4090 39882\n74911 80850\n7361 88179\n4793 55142\n71518 90035\n77523 97127\n56755 64059\n8645 31445\n38076 40480\n77125 98092\n24207 79452\n20468 39403\n87658 96589\n21039 56350\n83949 88453\n28379 52657\n39483 47174\n25331 34767\n11774 12779\n22621 51516\n6851 17104\n19456 28275\n45488 97895\n40643 69674\n94436 95994\n17811 73855\n6094 99426\n16400 76387\n67144 81896\n5342 81992\n4252 61899\n41701 76149\n59207 84355\n45042 95127\n40132 89183\n11124 47669\n17117 54237\n6645 85862\n9569 33616\n77208 89700\n39318 83447\n1893 24454\n40715 46362\n87321 88925\n63381 92597\n4539 6510\n18907 49736\n25550 27497\n56367 81090\n25490 32429\n9722 22881\n32908 45951\n20510 39894\n25344 62823\n61029 68018\n21415 30930\n6375 39604\n1817 81620\n52202 94011\n6950 99638\n11195 24094\n84415 86697\n64558 92412\n3163 53782\n19295 78521\n40436 66896\n16052 27465\n32905 47279\n30730 91002\n46416 55139\n58776 92795\n40182 92747\n81829 95088\n86793 87988\n53301 55426\n73720 94328\n61271 93660\n50 32661\n61400 62157\n82067 95813\n70529 71924\n68528 94208\n6814 70072\n54120 81324\n78916 84380\n77130 98280\n35338 86506\n1301 7933\n11826 48234\n61072 72666\n42271 57613\n9301 79670\n25493 36867\n28394 33041\n41997 59355\n41241 79843\n4650 44970\n37114 55203\n15095 32791\n41191 63173\n9375 26449\n31833 48894\n15549 57684\n998 57447\n54508 90256\n31049 84223\n95878 98809\n66904 75927\n6270 45820\n39535 58851\n7039 17555\n2576 36788\n8054 43493\n71521 85689\n14327 77787\n13804 57659\n18778 87312\n2375 16375\n51948 99977\n78880 92662\n48135 94587\n1347 74642\n68315 81042\n3708 47990\n2091 11759\n82019 90867\n45320 65399\n41226 45465\n60138 75178\n38861 65511\n59983 89677\n11139 60052\n74805 99590\n76951 95787\n19159 31959\n23768 58286\n1085 35006\n65125 84713\n22720 85190\n13841 88761\n10464 37474\n29709 69861\n51700 66720\n21458 35341\n55809 96846\n11392 73613\n5609 91756\n64490 79040\n42301 87156\n57230 79287\n92025 98573\n28360 33099\n67743 99432\n45303 78414\n54478 70921\n378 63584\n55852 67996\n43683 93361\n11232 90713\n9139 98284\n11204 29973\n77080 84649\n51924 99735\n51668 75022\n32755 62080\n23178 36653\n39135 60713\n19304 60550\n64191 88968\n11457 64216\n18338 23314\n91972 94615\n54240 62394\n4196 66631\n37277 99900\n30333 64864\n11060 77609\n36193 44076\n7226 56880\n64221 99509\n20248 75660\n62081 81182\n87216 88034\n2104 5643\n5962 76027\n29763 91158\n46788 86492\n59148 82387\n51348 89949\n25539 75942\n49316 63565\n5633 31807\n11013 26298\n35607 76615\n19238 67250\n32181 44409\n68192 90193\n26680 97545\n30542 63251\n9351 88377\n39194 46899\n96654 99371\n39449 73150\n58635 67220\n34127 84845\n28105 67543\n22030 99285\n32365 82525\n77107 94063\n1251 63825\n72149 90310\n83 26526\n64720 93236\n10768 68773\n3627 49354\n18340 32272\n37615 49185\n5377 82290\n51631 56333\n49949 81341\n18710 56265\n88700 90820\n17225 22658\n45163 46569\n53596 84974\n3415 50560\n25455 42248\n29646 52106\n14157 79780\n20291 79203\n5549 97374\n71467 92415\n24756 92105\n22528 24606\n50166 76962\n49941 67822\n90381 97885\n25911 80973\n34360 96316\n18890 38458\n19971 39285\n14285 41179\n31855 40208\n3593 97519\n59636 89992\n16169 47601\n51995 99709\n44893 92073\n27559 47594\n69311 79836\n25883 47530\n6172 69793\n37454 57049\n29433 91596\n86171 98554\n29742 55048\n2910 76069\n68391 76631\n56632 98146\n7766 65017\n46046 51513\n40353 46676\n10579 63288\n15791 89103\n34563 78775\n29805 72072\n62560 94005\n61206 88403\n16345 30006\n73325 96472\n4535 99012\n28354 64377\n34175 95440\n41502 77846\n19321 69636\n56549 92504\n58119 98766\n20518 58696\n18242 57865\n37135 84813\n21527 53098\n26710 88462\n47182 78735\n31832 40202\n50971 94535\n19989 27617\n18935 97654\n26249 38992\n17410 39378\n78119 97757\n35550 93365\n3867 45029\n20271 81017\n15354 67302\n42813 94146\n2518 32473\n497 71281\n26387 99521\n817 91672\n52473 73793\n36765 77745\n61069 65622\n62501 66861\n37584 98252\n73529 80519\n3850 65579\n12654 92040\n10572 96635\n20650 51902\n22405 79937\n62824 69845\n15772 97312\n69921 81235\n28459 51076\n6141 14867\n29954 78346\n12765 34940\n69108 81324\n37401 71916\n49808 74112\n13043 77712\n28034 41132\n30434 36459\n30143 83224\n34129 55383\n58837 73092\n42309 66837\n65408 89067\n44964 94656\n80698 97821\n43412 94646\n1222 15524\n31807 47429\n72660 90679\n73502 91715\n68581 69454\n46956 90806\n22372 28512\n60525 82551\n37768 75549\n76746 80143\n8080 29819\n14805 35874\n97177 97792\n12924 43775\n78521 92777\n45754 49868\n32328 89080\n59922 65033\n25832 79488\n22201 70725\n47416 52580\n76892 85675\n6205 8696\n47308 48331\n68358 89015\n48950 80524\n511 45578\n22522 44745\n4574 46167\n19933 79906\n6862 60059\n11027 79305\n7860 67795\n16882 91990\n30590 55541\n11088 38060\n34780 40539\n24333 40496\n27983 62467\n31579 52759\n15673 55117\n92217 94634\n63147 93131\n21088 88471\n11067 73520\n12271 94582\n3040 34765\n2533 85959\n23908 37010\n29048 98502\n19454 43422\n7990 26352\n13595 89553\n14578 60140\n19571 76543\n63489 91334\n13917 27863\n1751 43275\n58421 87850\n46776 94888\n27693 85845\n8225 30872\n57543 95565\n5390 22161\n32465 69771\n36983 81764\n66184 83549\n82353 84346\n60232 96737\n40005 57940\n13820 94437\n8781 60246\n17224 63188\n6057 93681\n15109 79494\n17191 34397\n12860 19392\n50784 85028\n37617 52080\n4075 83357\n2608 43720\n29917 82907\n62248 91265\n41115 56847\n19116 82305\n29743 37267\n30883 82718\n6351 28585\n80131 99221\n8188 84145\n16955 84159\n10902 57341\n13683 50940\n73723 80485\n22625 28976\n7268 52054\n70871 99148\n51983 65666\n13060 75962\n25139 80895\n44805 86644\n10607 70058\n1328 81029\n8402 29719\n7651 17602\n35995 40153\n64876 86944\n32673 95108\n27714 35655\n9932 98519\n16926 57567\n4946 11939\n72279 96533\n26929 31191\n37265 44725\n38943 57762\n29149 87282\n5786 69968\n5252 49960\n38567 68136\n40108 43989\n31578 64690\n24914 31122\n21078 94943\n48400 93537\n16206 21209\n1116 90848\n67222 81335\n49116 79952\n16859 52394\n58696 86768\n9221 71883\n47992 88120\n4509 21556\n647 82336\n611 98354\n33554 99845\n34250 98844\n42531 93437\n14540 63150\n54718 71627\n58715 71298\n60423 83592\n2695 4809\n70506 99483\n36218 68758\n11869 34370\n77558 87388\n61442 84590\n1627 53111\n6138 86251\n758 22107\n60823 80665\n43671 95141\n57125 64869\n69271 93175\n52090 96258\n1818 78809\n42520 58513\n84453 97211\n25271 71755\n10248 95693\n52632 63027\n18252 91189\n8703 91153\n14795 25876\n78455 89474\n82641 96012\n14326 57774\n30885 92999\n6794 82474\n33236 58481\n54715 85371\n47141 75052\n48322 80849\n49833 82217\n60759 84831\n34375 64678\n24162 43398\n71392 81909\n33218 70184\n22186 45695\n72566 77484\n73342 88559\n2991 78596\n15999 98551\n42040 87213\n80714 88243\n11155 13839\n11778 88548\n28998 39584\n29510 65706\n8666 77910\n33306 95497\n21878 74359\n15770 90330\n14221 77853\n72347 97242\n67695 84856\n16142 91179\n25517 83911\n15220 71159\n3667 86900\n7920 70932\n6843 14109\n61781 79431\n69080 84926\n8411 71905\n15761 96942\n21463 22654\n5671 61245\n10508 21423\n32160 43983\n28394 73415\n11828 31657\n4637 18212\n9972 20661\n55872 76430\n31611 35713\n56337 80764\n51634 76453\n35378 87104\n28867 69237\n62791 88669\n28614 77886\n23245 95368\n68216 87865\n36919 72290\n24858 53992\n4828 18053\n7139 91711\n68276 69082\n48105 51263\n10351 20427\n2914 96522\n9507 16746\n49338 94657\n12842 51008\n30220 97903\n33375 46535\n56067 80477\n22188 36867\n27049 38033\n7407 75166\n21536 76163\n28374 36292\n18475 57939\n22019 53316\n33058 96008\n27890 46783\n90835 93354\n48858 99476\n47807 99094\n52712 85040\n32349 74616\n4018 92589\n15612 19559\n72190 88399\n9581 14803\n23334 99588\n65894 93053\n38694 90496\n46885 72027\n38371 98659\n39993 97572\n59715 95720\n58977 71784\n59411 65343\n40040 57002\n54138 55202\n3524 17804\n45048 80380\n51066 53795\n4036 19963\n35707 69813\n13511 41194\n17756 55966\n71086 86979\n77885 87838\n18121 39153\n3169 46561\n47475 81884\n21038 63228\n22373 91647\n74407 94824\n39832 93066\n54900 94074\n26321 39068\n22568 48578\n18137 67357\n11973 29244\n73144 96714\n29373 53720\n56690 81238\n25710 96967\n50592 78818\n40473 51071\n7411 23308\n57449 67872\n2627 49613\n36556 55344\n36040 83669\n81259 85199\n30625 83582\n36986 93514\n31873 53001\n15067 41532\n32170 80942\n42937 66501\n20040 97689\n52282 56539\n22892 27780\n21361 43520\n44595 89368\n56848 84725\n34481 82377\n41253 60936\n60912 80807\n10009 26819\n22362 78430\n27937 43334\n15225 60761\n58171 77012\n72988 97216\n51039 86226\n54973 98784\n65031 87023\n5709 59501\n70562 87108\n9849 57846\n11618 23227\n50467 60103\n50310 86245\n11443 41372\n33293 57301\n15753 59973\n15994 69461\n16458 23520\n28953 30237\n2274 55797\n81818 96987\n4239 26440\n26606 85758\n90591 94021\n22606 50806\n70031 86578\n3170 69438\n52227 88660\n35380 84769\n28706 81123\n80810 93624\n13339 56345\n64032 71551\n63841 71014\n22201 83277\n24644 40708\n1078 36970\n17817 96751\n27819 31228\n71406 99143\n47881 68734\n25811 75884\n7407 96490\n86072 90390\n24038 51776\n36132 79726\n33394 86019\n27587 67864\n24600 95753\n41673 43873\n25525 42045\n93724 97725\n59030 98958\n20539 30628\n6099 79188\n23956 51781\n24617 51763\n59965 91214\n31902 67956\n19688 26135\n62799 97763\n42684 76761\n1795 46504\n19437 90752\n58542 76621\n15589 24090\n176 51739\n67524 86923\n8520 47512\n13426 45047\n30309 58014\n64761 89958\n29538 79332\n79943 92967\n7868 29665\n24236 46905\n47058 75381\n10661 51948\n2790 22197\n11929 85426\n73395 74617\n5996 6921\n30639 78888\n17142 78312\n25914 31280\n16155 68806\n72815 73680\n27627 57511\n59562 99982\n76611 79143\n67395 93731\n71487 91118\n2696 81652\n17996 99606\n83450 98542\n45187 56203\n34899 86374\n41120 62367\n60559 74569\n58085 68386\n4287 44406\n30015 54590\n47182 89901\n35712 36358\n82037 89155\n20640 38215\n31068 53290\n65052 88395\n13455 45841\n9780 62786\n76657 90603\n1907 70728\n3385 92187\n71663 90331\n11587 26039\n18649 40431\n9258 37206\n38145 57534\n31462 41596\n6285 89675\n82682 83806\n22435 47253\n72760 94310\n44973 82703\n67357 81036\n5499 18979\n31975 93416\n31678 39925\n57553 89098\n12892 44268\n7390 15191\n7042 80998\n9899 79301\n66448 77250\n47071 81222\n1367 42543\n2028 26269\n34994 90534\n23452 51180\n1671 51844\n11713 44556\n67886 98334\n4425 53972\n14662 59778\n751 92144\n16649 52795\n76144 94299\n51058 82620\n2027 36950\n15753 69738\n61811 95714\n69733 92544\n22315 33626\n34848 46193\n23363 45211\n30345 76066\n42389 98757\n15235 60029\n53050 96221\n4874 32419\n17970 37053\n48306 95106\n26581 43529\n28747 28937\n73203 95421\n77507 92169\n24005 90744\n55113 75244\n30044 67878\n22625 95216\n47032 75133\n7455 16090\n22287 69020\n14319 55206\n14737 61435\n63748 79281\n55990 80041\n5406 83488\n26119 41119\n32041 53868\n10573 40719\n25928 39266\n19059 19387\n937 61109\n23626 75846\n17001 17948\n48367 96199\n57289 65935\n28722 56441\n22996 59501\n5741 55660\n89046 97169\n27140 39362\n24610 53487\n74280 79590\n7085 72503\n13222 84690\n20507 61971\n36195 44811\n5320 76225\n6312 79331\n55093 81390\n31061 94828\n3877 73396\n56721 81862\n28312 76352\n3436 77188\n22496 89555\n16396 66381\n1983 78966\n27569 98421\n84433 86897\n87658 87769\n26831 65782\n10365 12148\n48078 57800\n20819 35355\n57461 62401\n5084 20650\n70228 94669\n62821 77137\n51476 98091\n46612 75456\n16334 31988\n3938 73943\n21270 89310\n66018 87581\n14947 94060\n6160 29395\n17263 43340\n12097 97047\n16142 73069\n37542 41703\n17930 28074\n96763 99242\n64286 72160\n47154 77374\n91560 96869\n57784 90268\n12608 56208\n64688 98727\n2121 46762\n10027 92480\n4321 38781\n22176 54858\n76228 98706\n55436 63396\n24907 51933\n23706 45291\n3381 12560\n95313 97642\n24175 53050\n59857 67572\n10734 98512\n38930 84701\n33967 53257\n59781 83462\n29627 35789\n3751 98060\n40620 93085\n15209 56626\n25820 68650\n23301 83340\n55357 84829\n1266 56130\n22258 49276\n88544 89541\n35558 39088\n25243 78523\n21144 28617\n6402 8613\n18629 47421\n10350 39488\n36969 75841\n23014 66722\n11193 33003\n79128 88226\n45445 57042\n8395 21508\n25218 47043\n8334 53010\n38646 58398\n33633 41857\n67804 70809\n63579 88449\n83303 90369\n9711 68315\n19313 58731\n62291 71572\n35721 97159\n56774 64937\n46472 89519\n48007 87137\n36816 40157\n83259 90811\n3143 93092\n39063 71693\n25905 85091\n21473 41998\n4469 27618\n62511 95390\n29409 77049\n1269 75470\n35070 90044\n10429 34114\n68027 90825\n17440 21723\n71137 99662\n66206 91623\n39262 86548\n35477 61115\n27333 63843\n3101 27771\n5014 80633\n82161 98033\n44903 48236\n30095 36914\n23825 69791\n33590 57227\n20544 76901\n2323 71828\n20188 66403\n18661 25486\n2023 45589\n19652 83244\n10749 84020\n69032 92057\n68783 73226\n13168 57780\n86820 92930\n36715 78128\n60783 80623\n9443 55086\n78623 87286\n24472 57648\n68761 92665\n2752 21915\n3380 60492\n29147 89418\n3302 95636\n15193 44023\n28707 58498\n85406 86607\n8389 54911\n53291 88139\n17493 32365\n32 19816\n58530 90398\n64983 92244\n46104 84900\n20635 76545\n17054 45125\n68467 75372\n760 56311\n26841 32653\n15198 19697\n13376 48538\n62212 86227\n15815 57931\n2330 10791\n17834 55836\n1657 24252\n86742 92669\n29999 63104\n53577 73074\n5869 70003\n25968 28167\n204 8638\n14031 35757\n11433 87921\n24878 71887\n59416 94233\n30876 87869\n2373 7075\n82752 88350\n35396 73205\n74729 90995\n13065 48658\n62322 80903\n4874 20608\n38461 40126\n17676 30841\n43523 45835\n42898 79037\n33760 38580\n45766 95071\n6305 35412\n23091 68390\n58210 83666\n61355 83365\n66799 88541\n29857 48263\n1438 70092\n24159 28977\n13186 98442\n24318 87020\n73407 86394\n69196 93507\n19035 35388\n35274 72562\n10953 89744\n82012 99885\n20549 57219\n25608 43707\n40128 99341\n1436 38847\n6579 43005\n75409 94293\n11953 39427\n80256 97207\n22858 99157\n31379 62914\n9538 57955\n14748 74471\n15306 42933\n1158 90935\n41273 41674\n72468 82231\n26983 74695\n298 69983\n37274 57941\n47715 86099\n35698 80284\n18002 36776\n51968 88246\n73784 75965\n6610 93236\n6695 25886\n54316 62451\n30336 78158\n14700 29738\n42373 52913\n27583 97386\n38639 81349\n16431 73085\n40495 61588\n45791 65107\n31418 91662\n51893 91552\n43501 70390\n67482 84212\n21452 90534\n8263 26139\n1987 68570\n12127 68807\n36375 46483\n42698 75590\n32593 81531\n62959 95379\n39710 99376\n16589 81740\n37407 85240\n13741 21002\n18085 41329\n45594 48971\n14930 50632\n93662 94245\n6742 81693\n27146 87440\n21004 42569\n3816 19499\n65251 75270\n75038 91416\n6998 31101\n38023 39294\n40233 78897\n22393 93359\n9415 31335\n20469 79902\n74959 98537\n90018 97310\n1347 93304\n20503 66477\n24189 68035\n15680 96394\n54401 98917\n76224 93164\n31687 76323\n12915 25617\n35240 88030\n3864 78856\n29176 99395\n40951 67763\n49042 79776\n5145 13122\n19096 68888\n59493 79654\n42302 79435\n54580 95933\n4687 80755\n55525 69986\n71562 72912\n1913 16582\n33531 38753\n10249 52456\n4924 50711\n79822 80781\n76332 97051\n29674 59380\n66721 88743\n22629 45053\n3120 10984\n2424 10095\n15175 85312\n47562 87229\n5392 70670\n79761 91457\n24017 42790\n44346 89690\n42343 93554\n18904 60698\n3889 68603\n17580 47936\n36627 57709\n40509 75886\n11539 93326\n18812 24339\n753 7973\n40787 91337\n8427 80906\n46756 77045\n69954 94886\n33217 92595\n1816 60713\n31596 77575\n5793 84224\n16927 55340\n38314 45095\n24705 76580\n55899 61551\n68808 75935\n11603 18798\n759 29872\n69276 70451\n7568 43712\n54396 88701\n67034 89149\n47779 59561\n18720 95769\n30065 57438\n53336 76812\n38548 40071\n46454 78568\n25675 98214\n35108 70524\n29704 99612\n58113 94689\n33036 59754\n6281 22441\n33276 78871\n27106 51505\n25338 66893\n19207 96608\n93785 95310\n9136 37186\n63140 90098\n69 69429\n5737 66388\n25491 79312\n536 40912\n59215 86166\n31100 48614\n53052 58539\n10293 17702\n33973 56988\n73080 87722\n1993 57145\n60800 84118\n3613 7560\n32877 83100\n24260 68696\n16693 49948\n6040 8062\n2446 79183\n31945 32188\n3832 78973\n42879 76949\n65580 84102\n6204 35912\n52197 85050\n10767 61667\n11235 15934\n28242 57047\n31092 91443\n3820 12216\n27240 61365\n29751 52826\n28759 73792\n55454 82014\n41216 74812\n32791 41885\n71175 81172\n37810 72202\n19358 52145\n57562 78040\n56222 76646\n84375 88537\n22078 34693\n25759 47473\n21676 42262\n73847 88223\n10256 63595\n35669 66085\n83356 95499\n1137 57619\n10632 49704\n37703 40144\n47239 86599\n16813 85476\n23476 43561\n9097 15471\n27441 62226\n53075 79208\n16622 24691\n55071 74898\n37500 93209\n43469 50083\n15029 97580\n31342 91005\n39715 63742\n22812 36243\n10375 29923\n2551 17030\n18704 64224\n17840 59446\n9273 60115\n61952 68078\n54894 70840\n19487 68480\n13587 88162\n43163 57276\n52447 79693\n12200 64790\n14528 26268\n20739 65211\n27453 72640\n10205 13840\n4065 79879\n24593 76620\n38991 90441\n32053 63278\n83795 85459\n14837 43708\n31793 66136\n60292 77733\n30155 86676\n6102 35875\n49348 72763\n5254 90272\n38543 59153\n59924 81997\n41863 79607\n37165 60975\n48332 70121\n49552 51325\n42881 61755\n67371 94772\n50720 62261\n74355 83183\n2156 9697\n14228 31972\n75327 82969\n79604 88498\n70303 87569\n39066 99294\n16797 84744\n62742 89679\n806 22649\n17828 59861\n19035 62181\n14772 88872\n84541 98686\n6055 59280\n76787 93092\n3018 3266\n77240 96265\n33854 45108\n32938 61855\n66950 89334\n48126 57456\n87016 93091\n19223 96321\n36890 74721\n51830 59113\n29130 56772\n34876 48885\n76916 93663\n13884 65516\n46647 99077\n54044 63785\n8618 54087\n71811 78968\n23181 23387\n17918 91963\n50310 72202\n818 39733\n78640 81615\n11917 53910\n3467 91968\n13308 40850\n89263 97800\n14022 81033\n20024 88211\n22743 29599\n4636 8016\n68008 95620\n78443 94893\n7134 81497\n55821 88647\n63402 90799\n74084 85258\n54626 68173\n31189 63500\n54943 97408\n65628 87535\n20420 56820\n12273 79208\n28567 88614\n73858 85181\n230 20713\n44913 83101\n84589 95167\n30195 90686\n1055 95329\n26999 52801\n53720 55439\n11502 36364\n2642 19923\n62240 86282\n19834 43243\n16833 66429\n94136 98001\n5879 99798\n14616 56586\n7189 35413\n3647 4102\n10369 90424\n44226 65265\n48678 59010\n160 61664\n40724 53976\n16506 62062\n16317 76595\n16094 70950\n56327 72148\n72762 96386\n36404 52299\n30950 92159\n10510 85777\n49108 87052\n70058 71715\n18123 82110\n4796 98386\n25289 31806\n68849 77905\n12959 62447\n35842 39674\n49326 76454\n507 71891\n54666 63130\n64524 69545\n33876 48984\n26652 92540\n138 82349\n6275 52391\n32900 44795\n36276 93269\n61381 72816\n24854 25192\n33052 66108\n71167 73355\n62211 69951\n22396 82882\n29653 78725\n2271 83736\n29163 45115\n24280 47874\n47669 50043\n987 61879\n15471 56969\n4403 68040\n46717 88193\n27347 88244\n40216 70879\n6258 21872\n23660 58151\n21322 56762\n8775 74774\n39523 71644\n21592 63398\n11296 44917\n1160 51311\n11934 45127\n24042 38217\n52206 93789\n21916 44604\n5595 68295\n13112 17783\n83244 86872\n51955 55912\n54725 79212\n11141 28670\n62859 91667\n10716 61641\n50299 89833\n5908 56664\n80417 90050\n4084 87477\n21728 65121\n57738 69320\n7691 84859\n1017 20443\n23191 53817\n23796 46503\n1189 30278\n55707 71538\n1351 38964\n39042 60401\n23375 76768\n64162 78253\n54856 67435\n29978 37575\n34305 90628\n14096 86007\n70806 98466\n10871 84298\n27228 61041\n96223 96619\n40567 86492\n40467 79124\n19300 51866\n44503 77802\n75247 76280\n66747 98327\n45533 49396\n49371 59402\n74606 87440\n3286 67842\n3922 71550\n3656 12769\n63543 96406\n47969 67677\n53846 81835\n23513 37496\n56444 64046\n30741 66422\n30013 75676\n64827 92136\n4660 76002\n892 23492\n34670 75333\n52649 99925\n48894 51361\n14203 54683\n9892 26240\n6714 89779\n4274 30947\n89843 95628\n23374 25946\n56118 62435\n8698 45729\n20194 44354\n16977 22181\n36518 64900\n36249 49510\n19526 48541\n17679 17952\n34676 49839\n65060 98907\n34902 71035\n2167 94686\n22704 25184\n45493 71594\n24553 40675\n76359 86179\n16839 63670\n17314 70251\n6402 61621\n19184 44727\n59768 92759\n40283 77215\n33821 69445\n10251 47011\n95595 95701\n40655 74181\n21529 48405\n14021 26830\n60346 70288\n10677 55831\n17678 55812\n43771 55359\n44514 80452\n16400 26499\n37411 98054\n64330 95106\n5749 30050\n22819 77834\n14825 40680\n11640 15308\n17250 70494\n68977 99577\n92499 96074\n26949 96032\n72157 85389\n11418 55163\n58710 84059\n31046 57274\n50613 75491\n49806 52463\n25880 73153\n63187 78845\n39111 96877\n51767 56737\n26123 99907\n31510 38252\n22054 27523\n25774 94516\n15879 18873\n20774 28322\n57153 84260\n14738 47386\n40036 53360\n41347 43689\n68455 76541\n28716 53405\n11620 64532\n68277 85462\n13866 41690\n18130 37471\n15299 29650\n30262 42042\n50120 54527\n44374 63688\n11016 40355\n60521 80517\n5280 6397\n8165 87839\n51188 58085\n10968 67946\n60347 71890\n35114 66007\n22863 26399\n56287 83077\n66213 95015\n3254 78579\n37040 94233\n80904 99783\n41772 89911\n15299 91517\n4961 37050\n34822 81830\n16355 67743\n17544 61832\n6776 22102\n52237 92370\n40480 69873\n2156 49924\n47571 67628\n48781 66283\n37578 65975\n27399 98718\n62042 75376\n77992 87849\n18530 65533\n40247 91755\n48695 60476\n35351 58214\n21156 42023\n36307 90871\n3637 22729\n29793 42570\n46149 77687\n64107 94383\n7073 15921\n7495 44898\n16674 74992\n46406 65758\n66188 84868\n19011 71962\n68042 80203\n38276 68976\n59630 60484\n56261 86096\n80689 82276\n86823 88270\n30063 75899\n21495 76297\n13187 23474\n48323 67365\n14254 73692\n20723 41054\n26712 94962\n28662 28878\n25824 82743\n7766 65509\n14112 43503\n8367 75570\n20464 87530\n60008 91826\n24427 59966\n49177 94047\n58218 89389\n10825 81084\n78795 89326\n4558 91707\n9795 91983\n43804 90126\n3346 19950\n12440 60043\n47743 64627\n35573 48893\n48004 89825\n61360 97686\n37345 49647\n38703 81227\n8418 87379\n56169 99867\n78330 99553\n60261 91627\n13453 35571\n26408 52091\n16323 84262\n14399 99417\n22308 44258\n88375 96499\n45984 67580\n23903 26186\n15981 59573\n14780 95091\n40471 66517\n19153 83992\n52798 89270\n21216 23498\n67208 90633\n19409 42559\n43373 49426\n60474 98547\n15417 60581\n8019 82030\n24353 82840\n12796 13500\n78263 91062\n223 38932\n28955 95341\n63537 80294\n8254 49349\n38635 42663\n63029 95464\n1958 65225\n10139 66768\n82215 95522\n8678 89933\n21815 70825\n18251 60921\n72904 82994\n31611 59730\n75913 79344\n15827 38026\n16838 74667\n15910 96257\n64705 95861\n20438 38841\n55590 57304\n1812 12960\n56916 70633\n4379 54230\n33353 54182\n59047 63868\n22119 32313\n36632 54589\n65061 86334\n95115 99347\n34044 50236\n29146 65200\n17062 33165\n1838 81272\n65965 74399\n9892 64697\n18131 66237\n78261 84673\n12653 81357\n4919 70927\n1654 3543\n21164 98867\n28369 64077\n24256 51344\n16518 95584\n20946 34993\n34203 42443\n40492 99113\n45855 99700\n4216 89969\n48569 92642\n46046 70073\n33957 43847\n52133 89808\n1353 71103\n62458 92334\n1045 54220\n19172 46826\n28820 40845\n41312 91974\n29115 85769\n52362 55627\n46263 77275\n20120 42184\n83416 86780\n15119 32313\n54151 67790\n2625 66732\n44402 87431\n41573 83469\n10834 64130\n6073 22340\n1627 13262\n16892 57342\n37237 55310\n1234 71353\n8055 17095\n28837 45930\n52964 88067\n13264 81803\n25533 93842\n5571 90733\n53598 57859\n23021 77602\n61221 69643\n8260 32548\n12697 36933\n17188 42725\n68958 75003\n11222 61237\n3785 87058\n69573 82349\n68391 79036\n32876 85505\n32021 46485\n8991 53195\n56768 76268\n10130 85667\n18323 27722\n12405 46009\n19954 99684\n23742 94628\n13554 54554\n45417 53618\n19832 38562\n6278 73682\n2566 2941\n5151 63960\n34102 39180\n56196 89647\n7379 87382\n9014 83258\n24938 25857\n22853 42403\n28388 67307\n81863 92506\n31397 66191\n28000 83668\n51988 65867\n33908 66414\n80970 86133\n22464 56717\n4005 44504\n42846 46552\n10892 33507\n22317 33836\n38519 77257\n40508 71357\n27998 53868\n40035 50341\n53674 70562\n90595 93134\n57781 90498\n1520 60190\n9508 92682\n34140 36012\n66063 72731\n22168 60973\n81927 91943\n63714 82641\n11882 81685\n31923 64429\n37484 96078\n26650 53706\n19154 97016\n4385 93173\n29642 81174\n24437 40467\n22174 23397\n59769 72225\n17682 97202\n33467 96188\n78050 99889\n49652 73985\n8532 22799\n30308 95895\n9727 83416\n11570 48850\n67533 92172\n22161 77106\n85591 98633\n76884 84966\n39364 59429\n47642 60307\n54644 58071\n1004 24259\n81966 99539\n82798 96101\n24281 48578\n1857 98831\n26486 92767\n13878 61341\n39176 57650\n26907 29619\n5302 81151\n35731 87850\n1339 2205\n1002 57688\n31605 86232\n976 41383\n23593 58740\n24500 56526\n25570 79067\n62316 90120\n41246 63995\n22815 86279\n38568 67224\n28651 75788\n22005 72933\n23187 61740\n97630 98618\n56623 66841\n22686 63273\n28709 79329\n450 90318\n17116 68387\n46489 55505\n35424 42974\n8095 17688\n12680 26020\n4312 53968\n53823 98250\n44243 68475\n74388 93820\n44819 60238\n55953 95485\n46617 73199\n30873 46643\n91203 91382\n41965 84932\n88215 98140\n10507 86543\n14512 90775\n8547 89397\n27768 88425\n44377 95883\n54708 69765\n4951 53354\n8567 41348\n45078 65828\n53154 77227\n26947 53556\n32738 56994\n36586 55932\n32339 44011\n3101 99896\n19690 26795\n55583 80023\n38629 76592\n382 9324\n92906 96313\n10445 70342\n57 69813\n27092 89657\n57335 65252\n17730 28953\n39308 47141\n5025 12393\n16351 30050\n58196 76427\n74050 96210\n14144 87503\n74806 79845\n37909 71490\n88927 96902\n6157 50884\n12740 67471\n25548 29829\n30753 41174\n8229 19989\n17289 52451\n50794 81503\n43521 87729\n5417 96260\n41210 58246\n2263 81526\n10129 87258\n7644 26038\n87216 98088\n21220 44700\n45080 50105\n69236 72604\n19616 50926\n12994 90198\n47487 49146\n38412 76954\n83265 97714\n9012 83684\n15654 97059\n68594 97054\n37175 44353\n42736 88921\n1307 77275\n28937 97948\n27100 59209\n30258 54785\n37481 72168\n30540 80911\n11233 18008\n47968 82031\n614 56510\n51224 59565\n86894 91331\n4821 60538\n61978 92173\n42413 74502\n46487 69818\n2594 44480\n21446 35206\n44913 48011\n11633 49320\n50307 82346\n24480 58613\n46139 56896\n52004 65687\n29432 87277\n21728 84233\n40749 91877\n28206 75360\n2844 40448\n74370 85624\n6404 93068\n59795 92671\n40409 89415\n27001 72480\n48493 64144\n17257 96091\n62738 66141\n3525 46611\n18243 94214\n42073 84323\n47014 87642\n36546 98990\n28679 78351\n5148 96578\n31251 73916\n7237 10416\n78392 98140\n63713 80016\n35876 82266\n35099 65066\n55777 85787\n1839 21517\n23897 76944\n7755 40677\n17691 29162\n853 1858\n1839 73284\n13772 16053\n18834 70956\n45677 63232\n6343 72372\n97918 98013\n4414 94842\n88519 98132\n52216 82682\n21909 52061\n36816 65386\n53037 59633\n95914 95956\n69964 91538\n35702 46538\n51195 65195\n55368 63413\n10503 47898\n13592 61490\n52449 58121\n40617 77222\n8385 45216\n2176 50854\n64450 83187\n53547 66681\n58495 80050\n36896 85289\n36856 89505\n20888 57278\n21777 75056\n12458 50578\n29844 71048\n59842 75596\n16140 94454\n15965 39862\n4823 79555\n1091 38480\n45059 60760\n27461 49415\n39170 47334\n16269 87352\n37686 53009\n8972 96249\n19343 20404\n36796 59257\n36052 64449\n4602 65618\n43869 65075\n24962 60955\n2156 43993\n76387 80583\n50113 56668\n29010 29507\n11484 55510\n12388 74202\n11295 31107\n42368 66016\n11881 80984\n39919 73234\n12600 92992\n2193 26292\n12746 67508\n73684 97638\n3031 21226\n39015 42188\n6309 97373\n20707 70246\n382 23657\n3524 47407\n7967 64555\n12507 90925\n59855 63765\n64056 96998\n5973 19109\n58730 86448\n14624 67244\n62906 76319\n7709 65501\n37376 59058\n63605 99950\n79838 99231\n34845 89019\n30931 64278\n29922 70080\n16716 27224\n36188 65896\n29546 86751\n49289 88880\n32145 95780\n24665 47294\n27831 84165\n45060 73270\n22070 45102\n21242 78318\n39445 87776\n44044 97087\n44165 59165\n1076 89613\n48389 63606\n12878 39681\n27787 85644\n63609 83188\n12084 85894\n79925 80380\n34985 93680\n23274 98704\n25639 59920\n5029 17723\n2225 74181\n71968 84313\n16939 57606\n87347 89317\n24272 57773\n27799 67114\n39078 69299\n9597 49905\n65218 95649\n27298 91371\n19424 77141\n5957 45799\n1314 57772\n9312 35429\n17946 94707\n63052 85583\n7081 43603\n83488 92094\n10671 97686\n3159 68580\n14726 34748\n74370 90409\n12915 92583\n8745 34806\n41689 98847\n53130 56246\n18453 94935\n38959 94268\n7195 38857\n8729 75186\n6313 93883\n31101 31944\n1250 31756\n28428 87762\n18629 97193\n27874 50184\n14312 35442\n40917 72219\n67464 78042\n14246 57639\n37737 62894\n13507 86284\n5304 53890\n33377 67696\n5727 68068\n34923 60263\n22106 73259\n29548 32322\n42505 49160\n8123 94562\n59716 72645\n60227 89482\n22307 67675\n35437 91553\n3626 88976\n4614 42735\n51754 83225\n78848 94523\n2996 80725\n37806 92848\n4654 82446\n53530 94014\n5603 77087\n38971 61876\n8735 92620\n73998 89199\n19842 20624\n4297 91755\n69312 77112\n43508 57972\n38491 94888\n31781 64600\n32191 72545\n63207 98960\n10844 64884\n42783 68605\n28202 40177\n3850 68168\n71068 93241\n17227 44860\n26677 75803\n45895 98986\n771 24004\n26647 26771\n36378 88994\n62238 83575\n26029 79767\n30357 62208\n12326 92225\n7965 24849\n6882 70902\n49685 80441\n469 92266\n49666 81570\n45033 79625\n3867 12567\n7516 61561\n77082 88404\n55643 69667\n63136 72673\n22729 82486\n71176 81577\n27597 81384\n3776 23115\n62640 84628\n24353 72036\n61597 90620\n78827 81620\n35158 84912\n11084 16030\n27395 56044\n21082 23665\n39987 86581\n52180 62453\n29153 86390\n32016 73253\n39846 65487\n13544 37494\n51669 70736\n30848 51627\n42015 44164\n55572 90737\n22942 86252\n63018 68038\n1553 81972\n49805 63652\n18743 57705\n57677 67454\n25095 99167\n15651 67730\n69620 79575\n2879 83908\n43823 53341\n77988 91943\n64078 75826\n70745 80397\n10299 60496\n37488 89021\n66587 84112\n10813 86930\n65831 70420\n39589 73362\n11307 50985\n44705 66986\n41063 47625\n51254 58874\n9511 72861\n31710 67349\n39614 81795\n35167 77936\n50467 66617\n2450 64553\n394 3310\n46531 84444\n18285 18845\n12545 50473\n26680 65523\n3674 18409\n52504 77596\n10539 78950\n21991 49468\n30638 95885\n5477 37112\n76996 98943\n13727 92262\n92 83572\n20188 84939\n17696 50011\n96648 99732\n8168 66055\n14246 19452\n60476 97883\n55317 99636\n26794 79143\n67706 83379\n2992 63426\n29307 51412\n43949 98480\n9124 20402\n2162 95027\n28304 32552\n15456 50337\n18464 48818\n10268 87306\n57179 94159\n15239 73849\n19111 80655\n1946 32192\n36606 54130\n27850 78089\n80622 94658\n37711 88978\n15065 23763\n8428 33326\n79219 83823\n50095 76087\n24119 47531\n43911 88939\n27061 98968\n63407 83995\n3490 38395\n28809 34464\n34280 79312\n8958 53775\n29044 92341\n15739 28971\n31339 48447\n63759 92235\n85046 88105\n32854 60681\n14117 67802\n9580 57192\n38887 43929\n10093 78411\n35356 36867\n24589 90034\n11385 59048\n97328 98912\n34661 64538\n11773 65585\n11742 73227\n38389 93678\n30455 77671\n24232 82476\n34234 83301\n11887 45141\n38232 46872\n16167 16933\n17276 46625\n43914 82793\n70926 76964\n988 22221\n37195 96951\n26048 54283\n2378 3742\n21574 28197\n17518 31718\n55066 63483\n11084 43154\n18564 72343\n16948 31206\n22500 52710\n24824 65998\n79114 84153\n31706 60985\n9991 74149\n12110 94342\n6969 43903\n15770 51605\n27432 88319\n13219 29381\n94336 99910\n990 2883\n1735 17583\n50491 98561\n23427 45605\n35251 64308\n32061 74529\n53713 54613\n37815 83059\n29821 64226\n10940 45091\n46110 56608\n13246 23869\n53478 97970\n18577 35034\n15192 83692\n18564 40604\n27549 66732\n28822 63280\n50226 50303\n10605 14017\n22133 81664\n30227 62604\n61742 74471\n61650 75538\n27447 76910\n55888 75701\n15565 93271\n3238 81696\n59755 93135\n2608 92693\n31414 65081\n25841 53398\n10134 47433\n62403 98334\n56188 56477\n26706 76671\n21396 95921\n3751 46754\n41320 76265\n43613 68811\n43342 61032\n73870 77782\n80162 91625\n37029 59947\n25745 89675\n6942 16949\n16908 35747\n60271 86292\n22044 86162\n63912 82380\n35401 90120\n17548 25877\n11227 36432\n5507 14676\n54655 88355\n12461 39446\n2952 94985\n10220 59180\n1120 80906\n50648 71738\n47079 86263\n43450 45139\n18307 43169\n6833 96652\n11419 98284\n41458 87676\n18560 48494\n20774 57028\n44598 97849\n80070 84691\n67146 67497\n86749 94511\n46690 52490\n77108 88525\n5382 22376\n13134 97983\n28040 65643\n43907 89617\n9930 81323\n8496 37351\n64280 96185\n35494 57837\n21742 72288\n35433 80650\n54341 76416\n11001 12495\n72748 85128\n84083 93949\n5950 91439\n66467 94197\n31832 78833\n17644 42094\n32734 54169\n59906 96206\n39053 62033\n10580 62748\n15821 63461\n51442 57363\n89457 93554\n13239 54969\n86703 88649\n34002 57792\n35953 74321\n46928 65258\n181 42932\n7607 36122\n33777 73259\n21832 39920\n15043 28014\n34289 80611\n17679 71335\n53886 80632\n29739 51270\n23761 55148\n23878 91577\n8701 28789\n8956 60288\n37396 39842\n52469 75687\n63868 73323\n23059 65925\n11789 78330\n58141 85932\n55099 87171\n46481 74001\n3034 13283\n67780 71834\n6021 57540\n90273 94531\n17602 28231\n39320 98516\n25694 81752\n73576 89250\n84254 89761\n31196 86530\n50848 84166\n17365 59825\n34116 42398\n35692 58028\n22356 39753\n64003 72598\n56050 95583\n64868 66190\n50733 69138\n22550 76821\n27260 64077\n6991 70431\n11481 57334\n57817 65109\n90756 98482\n14636 52462\n83065 93399\n64696 83282\n19925 62702\n24166 98515\n29232 91181\n13632 24665\n7016 51311\n39154 67038\n17037 54284\n9869 52031\n27497 38156\n81578 85972\n24609 71121\n26541 49968\n86918 97095\n17447 39856\n1182 65183\n12461 35444\n44670 76262\n2099 64187\n21504 96930\n28336 40826\n43309 96104\n37872 60580\n9589 82385\n60079 95703\n52158 70865\n53349 70123\n11829 97841\n5634 20371\n10487 17051\n37712 82956\n25461 30499\n35179 91929\n52522 61257\n15100 86936\n81109 86767\n19778 53229\n50992 91410\n1476 41608\n11048 25535\n60375 79235\n46683 81655\n13421 13473\n14374 79161\n34226 57643\n35864 53947\n27708 62022\n12075 48967\n53607 78893\n30125 55066\n18312 37225\n66334 88906\n8074 34359\n10983 73330\n33149 74873\n15303 63775\n81329 87387\n19833 33845\n62033 95011\n12888 42068\n39127 99064\n55934 78080\n478 98373\n45262 64970\n32618 44845\n22385 35373\n76333 81597\n16280 69465\n48772 84461\n95432 95597\n49851 74754\n38972 47440\n62538 76940\n26048 88480\n49601 99757\n48944 50520\n53962 84870\n44626 54847\n788 52136\n14891 75123\n70888 89621\n15685 93687\n47390 55761\n18962 55984\n5533 9632\n24606 32912\n1015 46512\n55345 82399\n21488 81269\n50787 67169\n71311 73338\n21346 68837\n53359 85622\n86184 96824\n43357 77033\n24304 42081\n12779 47234\n49387 62575\n20351 35276\n12950 46759\n47511 67317\n10630 54242\n3132 29978\n4717 45487\n9617 81933\n67158 93054\n71198 89068\n39568 50051\n5127 34193\n49498 64097\n14824 39422\n53452 82341\n33119 92011\n90449 93961\n36684 53301\n78992 86152\n72361 98474\n34445 44216\n36396 70744\n11218 49765\n14289 24873\n82755 85405\n74652 94525\n42961 70771\n16930 51176\n20317 32856\n43757 97978\n6567 74293\n22991 83406\n55027 80662\n13738 32479\n37607 92370\n27422 70876\n53188 83059\n2456 49799\n21317 84843\n171 935\n66119 98873\n48972 60776\n81373 97555\n52072 59470\n60185 87107\n7533 64148\n17605 73168\n1358 45543\n4133 28654\n63798 77599\n6844 92275\n20768 98608\n51261 88286\n27833 69525\n8455 58270\n46625 98172\n33208 58240\n16465 92871\n17451 94355\n48320 64197\n71239 99102\n9062 67012\n4413 76969\n20066 45468\n35646 70625\n58243 93153\n557 15784\n32965 93621\n53365 68196\n30809 73137\n16789 26325\n32423 95712\n19840 69691\n14977 72570\n68088 96709\n54209 93778\n45215 63957\n17774 38917\n29960 72850\n40443 44936\n89398 90760\n38461 77677\n15745 61446\n24586 62173\n47907 82394\n46736 82233\n42506 47410\n68876 74976\n1283 31317\n8770 71647\n11594 45794\n38773 47126\n30203 71662\n28035 88233\n3196 72635\n12455 35693\n62557 87770\n6261 8873\n11296 13245\n65841 96543\n17171 74256\n15579 57694\n10210 98443\n70059 94560\n24993 80120\n21817 90666\n63336 93273\n3177 78475\n18251 75862\n8159 20610\n44575 60463\n18250 40739\n41407 48262\n34021 58870\n57953 67795\n9852 86811\n12953 27936\n24356 99581\n19371 48106\n11560 85927\n21501 83030\n42683 44345\n25005 77662\n15323 16758\n9298 83242\n41258 66933\n29400 56528\n4678 7075\n759 22066\n12836 43085\n72652 79549\n48136 97198\n44051 61274\n35253 65461\n57197 59397\n63712 93129\n45155 97028\n42024 62275\n60268 61204\n26985 74547\n34223 39022\n16753 85837\n29521 49544\n34253 97289\n2412 38170\n16274 31031\n76365 79418\n25499 54401\n26798 30078\n28401 55415\n12007 25574\n18479 79461\n295 93757\n30875 73524\n11188 84248\n38450 60459\n58045 97655\n25949 44558\n29429 75591\n6999 97380\n65610 88270\n42826 63309\n41101 51911\n34540 42038\n30542 92436\n39461 59513\n25825 73887\n24294 40361\n53008 58606\n72460 83424\n21396 87884\n53145 69865\n70105 80068\n1626 64359\n10943 60679\n46101 88723\n16353 39897\n21135 85410\n36672 77715\n27123 66607\n58161 87534\n72049 82146\n27485 31177\n5203 33176\n73129 92199\n46891 71051\n9327 36321\n44089 76287\n50366 70051\n24869 93197\n44680 82813\n77079 81074\n15861 98487\n3417 33278\n20409 97239\n15340 74583\n78734 92128\n35488 38559\n46051 67277\n14199 96737\n5111 10425\n2611 50509\n17129 39689\n76369 93360\n9932 67857\n11230 76664\n6993 85414\n93181 99660\n37792 46265\n18338 31493\n19294 29263\n66075 93491\n13002 17745\n39869 81226\n65662 77582\n4791 18451\n45816 51289\n19488 32374\n49008 80855\n44727 77784\n11045 11077\n47208 89925\n27552 78142\n4518 26258\n53584 56318\n1163 73003\n21960 46954\n38361 55027\n14231 49939\n13858 63881\n22459 36757\n39506 79004\n12240 39871\n28405 95346\n12958 45671\n32912 38179\n4816 36110\n59041 84287\n77257 85121\n71780 75982\n55673 93669\n20982 33588\n14301 30670\n35702 69088\n11408 86506\n24572 62315\n41193 50853\n14855 61921\n18137 90381\n32082 38364\n27068 71649\n1432 33282\n10938 13811\n4908 6893\n11887 71093\n13268 55742\n26854 65583\n23367 89304\n23113 61970\n23403 28545\n8692 44980\n34343 82954\n34049 75871\n18333 68646\n12246 79345\n74438 96780\n12970 89351\n59744 88715\n47743 50210\n18789 72218\n27727 64172\n74985 94188\n9312 10087\n57197 67508\n529 19386\n2649 30076\n9566 82740\n66417 74352\n24127 79903\n19240 76817\n69395 92752\n67453 86994\n13880 94562\n58610 89886\n49823 64823\n10216 27823\n3594 20648\n8359 61331\n69055 81274\n10320 27000\n58438 64346\n31230 50755\n45389 62783\n31477 48144\n56580 63787\n30516 61820\n16733 40110\n37591 85542\n10181 33671\n10212 14114\n7225 25219\n39231 66850\n4287 27315\n33586 70563\n4735 20893\n29835 50960\n33602 52704\n86023 90822\n66540 89561\n8599 97225\n4269 46551\n14717 77189\n66909 87448\n75642 76246\n17125 31289\n69995 95031\n21034 45074\n14817 83278\n95870 97704\n28202 67799\n8454 75517\n22205 62537\n2823 36609\n75624 93684\n28499 31419\n508 21854\n35264 88173\n46449 88600\n17593 95305\n4062 63482\n6084 13212\n83665 85843\n633 63659\n51377 56107\n4450 63180\n67899 89372\n17071 46466\n10456 92152\n65129 83172\n2039 46186\n41371 59912\n35701 97694\n32094 70325\n60681 82798\n49859 73912\n61257 78123\n43486 73817\n16666 19072\n44733 99684\n39209 47192\n13713 95127\n1287 11348\n28528 43066\n23856 81350\n15862 65828\n72432 74740\n59894 84586\n53313 83293\n14717 41323\n59137 93131\n6333 42012\n40152 66167\n72433 88258\n36497 49578\n37029 95566\n39568 95553\n37759 95877\n82067 92674\n2035 18449\n45193 71730\n73887 84291\n23437 80668\n18151 50070\n11198 61178\n20432 72697\n57358 70586\n7255 45961\n36004 46641\n41098 44282\n6578 13238\n17807 75820\n23310 50316\n62282 97733\n10368 77996\n36764 44824\n14835 36756\n12833 68021\n62677 68424\n46965 78028\n9813 49497\n2242 71571\n11194 68485\n61377 81730\n5950 65005\n61449 62086\n793 9070\n8241 82080\n13018 71108\n41705 66889\n1520 81859\n60518 74710\n54669 89481\n14047 42415\n43640 73333\n37582 55638\n2164 49951\n6615 42898\n4306 84371\n40946 62073\n33487 97427\n22165 97001\n18782 95147\n3908 35039\n12309 49517\n2750 37391\n28788 75916\n59183 69167\n14171 58866\n16159 64220\n43499 56742\n6512 37943\n15663 44467\n78078 83201\n83578 97665\n3898 19721\n53707 60941\n25831 46552\n37722 87418\n67924 73767\n3953 78050\n46816 50817\n17707 68274\n24848 78644\n87384 90092\n53098 98803\n51926 71968\n56209 76577\n37062 78244\n9738 52065\n1228 46313\n10899 86990\n32833 81561\n25520 30834\n34161 84534\n10031 44240\n16631 49479\n11156 20196\n30684 89801\n33463 57754\n74906 96558\n4648 48692\n18793 52045\n14999 97601\n14613 36004\n3293 32848\n20932 52156\n6713 50407\n39709 72357\n38256 41802\n9190 91100\n48794 64626\n38152 77685\n18976 52034\n13894 46991\n54548 99855\n4269 40595\n74073 96299\n53978 93465\n36937 39223\n14473 99672\n29566 46445\n32369 43415\n29491 84410\n19623 84469\n30336 40148\n29489 82629\n4796 74131\n91164 96920\n395 13291\n85425 99983\n6439 66900\n13428 13624\n42782 53560\n35417 58120\n14806 27984\n129 73376\n7577 39870\n10994 33754\n80665 95315\n8853 36599\n2311 75160\n14212 61656\n16053 74628\n200 26631\n23053 68780\n35058 94704\n14506 89261\n41391 85935\n40376 56590\n26448 71459\n12339 47279\n9355 56532\n54034 56055\n21101 96735\n664 91336\n68623 80131\n26283 30715\n14965 53068\n10072 97598\n54475 83344\n21217 32571\n14072 68841\n13300 43846\n1549 45251\n35338 61491\n21211 98702\n6352 69350\n59033 80016\n9931 14244\n69135 80117\n4389 72044\n39118 45127\n439 53427\n27829 96453\n25085 31285\n57410 61948\n43543 84744\n4188 42244\n16640 27307\n15239 89492\n8283 46818\n12995 48073\n48867 57631\n21202 67726\n31726 87689\n18771 76700\n18850 52661\n7607 87003\n43799 80828\n9223 89628\n47155 59650\n28202 48924\n65185 75865\n3938 68330\n73694 85760\n13697 88929\n11018 48878\n80378 96606\n141 7894\n5661 84808\n81928 95482\n44398 63550\n16121 81966\n32520 73510\n3578 95180\n12711 21349\n82073 88407\n12162 39479\n50006 92538\n63449 97386\n8464 43944\n29508 46977\n83029 93339\n21673 77744\n17807 69141\n13983 91944\n40108 89894\n33697 34532\n9341 94306\n22377 79599\n35888 53069\n34304 46304\n16997 64435\n70671 86217\n36840 97638\n28562 28908\n7349 99907\n58406 59651\n40697 72249\n3099 53506\n68702 81048\n21281 91901\n59518 65989\n23304 87230\n8416 92855\n16677 56893\n43643 70191\n30172 46737\n33895 95507\n57813 97148\n18442 93269\n51180 70431\n12819 43412\n12703 30320\n49580 89717\n23141 33999\n14338 56334\n5925 30681\n26032 60079\n9116 19224\n65642 76609\n16018 52962\n5954 85424\n23502 55698\n46627 79463\n36487 39608\n25350 37227\n18865 99690\n13201 54332\n53391 56168\n8795 22975\n53515 75426\n10470 29749\n21267 62569\n42217 43318\n20261 36511\n64854 85466\n22752 77496\n46018 67300\n28557 43962\n7634 21714\n36794 88866\n65231 90054\n26354 38544\n54033 87589\n41084 74290\n53204 72483\n3021 64780\n20806 61549\n32904 85707\n51312 59569\n23395 59457\n14480 16341\n22148 80803\n71506 76117\n22899 85587\n13538 78927\n1124 78486\n70405 76489\n86284 95523\n23985 92037\n35269 35993\n39847 58995\n17653 87845\n12836 37934\n61421 80746\n17923 62267\n46170 79931\n46557 52374\n17485 93577\n25508 33671\n59446 71958\n65086 84059\n17071 79689\n47425 87931\n29785 37740\n30655 33541\n41771 57463\n11850 71607\n57335 91564\n24927 31955\n39607 54843\n21655 73189\n39058 76946\n37527 66034\n63000 93432\n61230 79986\n52453 88727\n9056 37067\n46941 81088\n33375 59937\n11456 47785\n20666 96496\n13440 48400\n47381 92547\n15424 85024\n11481 33437\n80610 87727\n51762 66538\n43775 80060\n16003 19381\n734 15750\n8857 67174\n25191 92373\n37330 81591\n6165 20254\n39264 49922\n1976 20208\n58073 67409\n22867 41815\n26289 93306\n4805 94423\n330 80076\n1961 84268\n45921 69069\n79158 86360\n11666 39489\n12693 26654\n23724 25176\n36996 65748\n391 78800\n30451 62457\n6733 85414\n17445 92002\n85664 90141\n8330 98613\n53874 58995\n5068 69786\n18917 21277\n19500 79647\n23952 85376\n58500 73892\n48218 54763\n70892 81550\n33919 84267\n27406 31135\n18085 41507\n59450 75455\n28856 53551\n46130 79925\n94330 95547\n22966 39799\n55422 65904\n21779 31719\n7329 13741\n43362 64006\n31770 49587\n8654 22341\n5712 32588\n20746 89291\n7961 62873\n63108 89398\n37741 57240\n43427 87650\n57125 90559\n11186 50812\n42688 61371\n43899 83464\n25659 51858\n6592 41786\n45334 85060\n9761 38733\n40284 62284\n15308 35045\n4161 6530\n38946 62187\n5556 48439\n25555 75742\n41196 86362\n10535 99690\n10115 11015\n40172 80117\n57123 73063\n1369 59515\n35058 98650\n44507 49221\n42946 44566\n96621 99160\n24413 24931\n7855 95590\n13934 63953\n28757 33621\n17870 45193\n46462 82898\n41367 80298\n21923 96601\n48858 91679\n18479 72040\n3538 89837\n7098 34370\n47524 75238\n42269 76164\n7342 70041\n59562 99603\n19892 92857\n68618 69733\n38390 40232\n52405 70975\n33556 49466\n11102 65750\n18528 41668\n42553 49294\n13404 27606\n31161 65099\n45962 76492\n7072 41076\n8302 57836\n11742 89846\n42107 91249\n62600 64568\n64788 99910\n23275 68428\n21984 74256\n2162 19275\n8689 39820\n14555 97897\n24476 72165\n8746 69747\n48379 53509\n48617 77224\n16808 29690\n16513 79950\n21695 72347\n43195 78246\n41836 47719\n28395 59549\n14421 96212\n52133 75198\n30407 82962\n43426 95614\n30668 43548\n35363 57052\n50172 99001\n32779 57523\n47926 62744\n52096 54318\n22306 43586\n48464 62921\n31923 70643\n23224 63536\n869 18144\n64415 82670\n27358 59687\n88365 90207\n15573 28476\n3833 86365\n42322 81601\n35863 69200\n34825 56887\n52074 86442\n22867 63218\n1108 14263\n400 86377\n53550 97868\n24980 40042\n51795 66318\n19090 79731\n4278 52454\n2180 33490\n15467 25589\n5013 21805\n31044 95214\n6621 70509\n58464 81575\n17662 28946\n34933 83355\n42316 98641\n48849 67142\n32260 81285\n43501 55252\n4884 79438\n2785 81817\n32567 71440\n389 16424\n28333 38635\n60641 74963\n22594 84431\n81185 90692\n25415 43441\n15559 51217\n53092 79188\n24769 89271\n42622 61633\n69896 90287\n1896 73494\n4716 15962\n25246 44444\n40745 49514\n21549 56798\n20781 25747\n62004 82701\n56720 78626\n65522 83269\n45726 97165\n1711 82095\n28681 64616\n54501 56683\n61624 94451\n11047 80384\n2442 46583\n4407 33531\n28368 33672\n10251 30001\n19081 37364\n37635 83151\n39714 57059\n2901 39294\n47461 77092\n32101 78219\n2303 50121\n10337 69126\n15948 16757\n28315 57936\n3786 61313\n23978 62007\n19456 53881\n35779 56285\n24224 68099\n18115 77577\n88615 99250\n73759 73897\n2839 34138\n25023 27245\n61475 65233\n4570 59021\n55643 81155\n49920 98007\n44269 57575\n51179 94961\n74369 74808\n7439 69955\n22811 61085\n47709 77957\n35044 52925\n24836 72363\n18869 26684\n1686 11090\n11782 20592\n79895 94320\n51419 78650\n21008 95063\n76754 93859\n8078 46107\n82657 96904\n19820 27413\n45361 94123\n51003 83018\n38864 75005\n3306 90246\n694 89577\n48748 54973\n16759 44877\n22505 61668\n31394 52668\n18334 62718\n12981 39299\n83910 85051\n31355 79635\n16847 57055\n17496 59105\n7817 37032\n65651 91740\n62164 67023\n3675 48553\n65480 86473\n8929 10700\n65901 89948\n4332 15713\n3403 44207\n80126 93443\n54776 66803\n15036 95925\n69199 69621\n37629 44561\n16765 24428\n4378 83482\n31841 41294\n75171 97498\n3043 5367\n2815 95143\n43787 44319\n14435 77111\n5176 25945\n27065 98841\n31074 32712\n48705 85804\n75158 93218\n32834 96173\n26862 91232\n28452 30787\n24784 58667\n38702 50685\n35115 72828\n36447 46443\n34838 75457\n5745 34255\n45274 61578\n29352 49693\n18664 67148\n27374 43877\n27734 53734\n31033 66256\n38511 54016\n88416 96816\n24241 92832\n34811 62986\n81774 93325\n35328 41994\n47394 48855\n30675 89270\n21908 71630\n10175 22184\n42900 90920\n24800 68968\n5398 38256\n57112 83342\n49173 71023\n24004 92254\n49544 53613\n40744 99756\n1146 25190\n3136 50444\n14116 94038\n42877 72273\n13083 51303\n32711 52126\n2008 90683\n11262 68805\n69309 98752\n47452 57179\n7169 87118\n61789 65558\n56420 78849\n58016 77014\n66162 89720\n64947 94831\n4542 86407\n2370 27178\n44784 96654\n36955 67705\n33476 90544\n45971 87075\n71484 83204\n24061 25340\n34120 37668\n63212 65057\n67417 75445\n16717 68330\n79888 86481\n30598 73409\n43309 68357\n6534 79564\n60751 69040\n45612 63508\n38388 38731\n26056 99450\n54328 94685\n78658 98851\n9487 86227\n20384 69847\n68982 71000\n55271 96520\n47063 48157\n27248 86067\n18260 98590\n6127 69204\n2114 98411\n14121 28974\n27158 78228\n39402 63872\n76347 95180\n56249 70269\n40285 52164\n17126 59179\n7334 35477\n23171 45466\n30474 98917\n52363 85124\n37585 39203\n20261 26979\n22049 30937\n14929 18863\n29849 59700\n18493 52825\n7069 83159\n61306 80381\n15560 78351\n50423 83324\n56082 85174\n92760 92842\n30226 91002\n11625 46802\n77324 78655\n30451 56880\n91338 99221\n49552 97644\n62886 83627\n17455 88754\n3903 28258\n45136 99829\n35007 95244\n12733 30523\n57514 97191\n18008 82861\n69071 93649\n59747 79828\n81216 87307\n26980 92503\n64393 65312\n72547 72958\n13705 99903\n35849 68889\n29664 90964\n9593 43414\n30130 97006\n44503 95271\n13171 84816\n6592 92008\n32655 62616\n38378 61426\n58348 60266\n18742 99064\n5470 57602\n2028 97120\n62019 73967\n68812 87037\n10410 82547\n14157 34186\n11054 13143\n27273 46979\n3991 19743\n40963 84289\n4747 59068\n75784 85881\n1340 61027\n18225 22551\n12226 58729\n3597 35607\n13394 25096\n76249 92563\n51622 69181\n49530 94085\n40339 93677\n6390 98249\n30460 64296\n37024 66833\n16224 41505\n45710 50978\n34081 35934\n41912 93732\n40342 60526\n10234 76084\n61663 89441\n27591 85586\n49712 52892\n18861 76270\n6498 90430\n7967 11465\n24113 70225\n77240 94123\n34470 89987\n87101 95604\n17552 28589\n29238 66077\n9382 27348\n39613 82797\n18277 29777\n27869 46173\n8186 48250\n3053 50515\n48119 72894\n23488 37873\n40576 46659\n30404 87691\n14679 32697\n42943 84652\n17483 99705\n71600 78737\n5745 71611\n34918 37772\n58842 95928\n20086 21795\n9700 46511\n13010 98827\n19022 65832\n39283 93563\n55529 86418\n5380 53101\n16497 43732\n42004 74085\n16357 92758\n52695 66131\n14921 16512\n26438 82694\n34540 73822\n25237 80143\n87737 94918\n15909 61291\n7481 66098\n57813 86798\n39135 61045\n30648 38299\n20055 52121\n81928 99343\n38732 77668\n27408 87725\n16602 16820\n15541 27844\n31915 48519\n36119 72831\n40625 78783\n66770 72230\n14745 79276\n56420 98590\n13425 99272\n8967 42381\n697 34390\n4016 7994\n48437 56704\n55517 62373\n67103 87068\n82566 92671\n33276 92276\n82211 89051\n11222 36072\n5156 26412\n64509 85028\n3461 23521\n8914 20696\n43016 97494\n18651 80055\n33236 82431\n67805 95689\n645 89381\n53699 62743\n49191 97055\n60679 78105\n11184 29659\n71695 81452\n65645 74484\n824 90744\n72329 80097\n12322 90664\n57751 74096\n3805 77975\n29769 84909\n20695 41961\n80623 90877\n10152 20319\n71133 94517\n15511 51703\n23554 74415\n36867 58529\n8323 11827\n16038 28276\n18586 97747\n42897 87211\n23919 65286\n45422 94488\n67286 71695\n44175 74216\n13536 78292\n4067 75636\n45666 90758\n33096 62830\n12925 45874\n18251 83416\n7036 46106\n48570 88947\n33955 62954\n53719 93588\n77141 98680\n64577 73418\n2338 45595\n8199 29615\n50529 81888\n30779 76944\n31728 58321\n22710 86004\n10234 16360\n19689 59504\n27141 92915\n28871 70886\n89150 99727\n8462 89035\n25504 95198\n69507 96943\n18875 68404\n29820 55202\n63418 78231\n52256 99230\n56541 98908\n14483 50193\n24346 65780\n2513 91114\n20812 71813\n52222 74237\n57732 58241\n19143 47400\n83570 93971\n44896 72893\n16173 79204\n8797 56644\n17339 46665\n9362 56369\n656 9590\n25717 46407\n37928 51035\n63586 85298\n17090 34352\n55521 67891\n69704 98985\n83267 84613\n15499 72662\n56845 98494\n1275 78378\n16787 84001\n47663 91078\n25067 91195\n80462 97585\n27254 64784\n14218 83649\n49967 80861\n548 13241\n61235 81775\n12403 65185\n32280 54190\n45567 67656\n8976 82286\n18490 72691\n42435 70326\n13075 32995\n46689 56872\n20742 61427\n23598 71914\n28631 79079\n81127 86494\n91288 94378\n36669 71671\n69420 71210\n59996 96611\n21826 71324\n29261 72554\n61179 78325\n17211 50588\n36280 48706\n50358 87787\n72247 98452\n20104 62928\n5539 72031\n385 22722\n70529 82868\n9520 13210\n4267 65137\n15531 67643\n28024 28460\n90816 91431\n46224 50015\n33806 60448\n17677 33453\n5898 83927\n84472 95928\n13595 82045\n33457 98159\n12609 65014\n26220 82098\n78697 91532\n45514 47080\n16575 32285\n68701 96657\n34881 96145\n16206 46726\n38522 92275\n67579 97104\n31687 67814\n9642 29922\n34004 93099\n51363 97317\n55944 60639\n78445 92599\n11301 22162\n83289 98063\n23530 44330\n24863 47187\n34533 60524\n16546 79769\n34242 35167\n81398 82771\n41366 59227\n81856 86060\n65017 72240\n10805 93963\n78226 93924\n58079 62785\n47828 65839\n5036 57311\n16908 32315\n4290 9072\n32130 41266\n8596 45894\n12938 13064\n1105 86288\n72488 90213\n40644 80607\n55609 73818\n17221 25825\n35947 76614\n28800 99489\n34739 41075\n71044 73870\n6500 15401\n4109 22633\n42457 94440\n85019 89600\n83661 96409\n5606 45546\n3675 47160\n30336 96144\n50999 97566\n55577 57073\n23524 83300\n34592 76209\n32753 42133\n54344 86156\n9734 88900\n28096 44779\n7904 99210\n24341 97734\n62861 92973\n36611 51046\n49826 79287\n22265 92620\n25244 83701\n28177 46541\n67183 70993\n78354 96938\n49902 94399\n5182 30367\n40507 62131\n18469 96696\n186 24782\n2964 35005\n20296 50497\n27857 97392\n19407 46706\n4689 88151\n86612 97160\n827 42887\n9356 65997\n37781 54745\n55806 84876\n47566 53771\n18557 79432\n15449 30674\n39666 66471\n10108 97888\n49627 55075\n34762 54721\n3959 87102\n23613 74460\n43759 76553\n38839 59449\n11503 78482\n40804 92319\n41651 49952\n40596 75322\n21009 26638\n5634 8725\n49779 62815\n1019 63376\n65879 73569\n69728 81111\n19988 34701\n60853 86333\n74409 96949\n73743 84941\n5475 87314\n10206 26232\n40296 89841\n13967 29626\n5678 27725\n29927 72597\n10234 44894\n32394 66353\n24452 79857\n51886 88996\n5559 88316\n40851 61227\n25010 71406\n14616 48327\n64376 90814\n53141 85784\n19426 53326\n54061 64640\n20816 64503\n14454 73057\n66376 68375\n59132 73737\n43800 66298\n68591 94453\n62887 68483\n62633 64367\n1055 91720\n3680 71154\n28782 99489\n45020 71176\n65146 99010\n19975 84007\n53619 61469\n70824 72813\n22423 95299\n66534 95186\n3665 67230\n31686 93839\n22231 46208\n15234 69357\n45627 86893\n41863 88361\n25462 54750\n39687 74821\n82181 88750\n48428 54263\n16714 30268\n31551 56385\n1153 25094\n17644 88397\n38942 41378\n38258 49998\n47199 51267\n43803 66171\n40087 94393\n87503 89629\n17684 55522\n46263 89338\n27786 57521\n36972 58639\n44897 45753\n53210 93414\n5791 70664\n15986 86886\n10984 86673\n50951 74022\n39921 43901\n27528 38662\n9826 81394\n39200 79851\n44993 86690\n10576 72428\n22150 87796\n4591 59364\n55649 79642\n68629 89491\n48722 69081\n10061 82497\n31000 96287\n1580 53958\n31319 33602\n43497 67837\n20891 79375\n21572 85321\n40192 46974\n12609 53784\n63924 68520\n23414 37078\n2543 23589\n61240 66888\n72461 86119\n22269 70538\n28517 65501\n71063 88865\n50517 55086\n49344 79787\n57733 90903\n58667 85946\n67386 83805\n35481 72798\n24671 83297\n6851 36406\n38221 51778\n54251 98770\n15802 98132\n71562 73485\n2158 12019\n13924 93552\n52777 96093\n26178 86302\n18221 26156\n3645 68633\n51040 80563\n45318 76012\n36576 82788\n50498 74678\n51611 87013\n70661 95729\n60936 75198\n59473 74812\n37225 57575\n23824 49188\n53194 73989\n3500 44260\n76776 93789\n3198 13178\n32815 71219\n50336 65155\n20971 46904\n56886 95495\n60221 83931\n59074 68195\n56713 73691\n33869 52416\n4101 84797\n78089 90110\n19865 62148\n42175 66711\n17263 73786\n60463 83170\n88325 91863\n18873 24302\n6747 72533\n89852 99652\n94163 96213\n17968 20403\n8846 68294\n24119 31750\n73234 81004\n66834 70735\n9484 44624\n67642 68018\n72317 86781\n10741 40223\n82798 96789\n39274 45034\n36348 59514\n62648 89877\n13383 36673\n16963 80752\n18930 54718\n49811 53011\n10610 51476\n64279 76598\n5558 96628\n14502 18360\n44365 60300\n3096 73926\n7751 31993\n6668 29958\n25552 97169\n73436 87919\n25118 35169\n38944 70288\n39543 74639\n5271 32158\n59731 98333\n59299 96646\n80918 92796\n20590 41481\n275 55931\n32764 80005\n36727 62303\n9092 84172\n63308 96213\n8719 89882\n10678 64350\n8436 92136\n366 59529\n9995 16141\n6651 99494\n18461 76821\n70693 86931\n71318 94338\n55936 70218\n49146 73921\n3615 47392\n31255 94353\n37086 37246\n71723 80189\n93406 97566\n22475 43992\n14661 94197\n13535 21419\n24984 44774\n24852 91134\n21416 76474\n22084 33749\n12381 30985\n15140 97793\n7553 98477\n1994 24862\n78146 87623\n66813 74297\n3947 93337\n58341 72796\n6006 79235\n3859 74341\n61490 95951\n6152 78981\n15436 21890\n67339 88460\n65397 84518\n88408 97092\n2368 7196\n2787 21874\n18325 20864\n85129 99037\n9573 84410\n6719 82715\n45529 72201\n13320 31783\n12293 57560\n1740 49363\n9817 97910\n56629 73521\n6695 10925\n11165 38743\n82665 99208\n33990 75746\n75350 97211\n193 26726\n50868 92259\n23184 88185\n23611 80631\n14186 86154\n4688 24134\n24970 57383\n43121 49168\n35746 60025\n41705 70446\n68681 84397\n30403 67121\n59687 96916\n38436 80982\n49870 99978\n14619 32985\n40836 45547\n41797 82097\n27433 57796\n46926 79526\n17281 43672\n1386 75242\n30082 38910\n77654 78242\n41350 74461\n68509 96341\n9699 13669\n4839 65350\n18871 80655\n2627 47420\n35387 78791\n26244 70986\n28783 87405\n31996 89734\n24020 64817\n43149 87721\n72393 83259\n26463 56026\n4599 42342\n73997 98572\n18532 97741\n42612 85824\n78756 88612\n47513 76153\n3092 29501\n11804 84801\n26159 76145\n38912 45717\n56673 87964\n51565 92684\n37162 98643\n14563 75112\n30945 97262\n32557 61455\n10618 75228\n15703 99808\n62970 67230\n16795 24057\n56165 92153\n59923 77387\n48660 53087\n19598 20033\n14137 54063\n52302 69471\n56355 82084\n87837 93228\n11535 32741\n28391 69919\n79 70262\n32606 75007\n11613 13986\n36757 49414\n35978 96707\n92963 98489\n67545 68154\n31984 84991\n13512 66579\n20331 44024\n7963 98407\n26605 64814\n23488 95781\n48420 66811\n58840 63525\n31403 84906\n55404 86186\n48703 76515\n30608 69996\n25910 52830\n8042 42266\n12490 31482\n1055 6682\n17248 97324\n11345 20431\n34524 56700\n7250 67843\n20722 61872\n53231 53335\n43509 97943\n58458 63826\n42151 90054\n48501 60333\n54687 57787\n4848 73564\n29137 32566\n50853 63947\n52609 93717\n32626 56619\n14624 37195\n76782 80183\n66261 69523\n7601 43260\n44829 87045\n37235 58061\n27104 63486\n8127 13976\n27097 48034\n37002 65642\n21180 68652\n46936 56294\n23511 57345\n59514 72435\n1544 70567\n72156 98172\n13833 83276\n3521 45032\n956 21864\n44135 45372\n32870 51285\n8102 13473\n68297 68590\n6003 84896\n40457 83834\n47818 84235\n79795 80826\n41274 45483\n3207 88866\n24004 61757\n11247 97979\n20711 23906\n50333 79855\n61056 76319\n28935 61137\n49773 52879\n35396 89210\n54954 71121\n16991 55750\n75414 82614\n23602 50880\n28031 77548\n15279 88291\n8546 23891\n16916 63450\n8168 79201\n7749 72326\n51941 82234\n43191 90059\n1695 7468\n31073 94948\n46595 63934\n51818 95051\n75233 85476\n54404 81246\n26342 72964\n32199 67568\n12977 15259\n57387 75943\n32857 89410\n71019 94565\n25323 98893\n15104 67569\n18917 39187\n32196 73359\n38302 85712\n54213 94574\n41915 56220\n54859 86598\n2808 33497\n156 71260\n4556 73275\n41789 99568\n81350 85876\n33049 95164\n36924 56238\n2423 22481\n21857 68731\n21989 44587\n23315 96164\n77162 90792\n4380 78263\n11633 92579\n32189 53618\n41680 88572\n11447 72898\n53454 86119\n52783 67808\n30409 81480\n48348 76113\n20630 75081\n32553 63627\n67622 80433\n61976 75853\n10250 57474\n19990 46759\n1545 84063\n6044 14010\n13891 43002\n74995 88887\n16700 94629\n8314 57753\n50409 84342\n39853 50257\n18558 48708\n36070 91336\n46919 65370\n66728 67512\n4767 55928\n37845 70084\n5162 61804\n27291 35887\n22291 25862\n59963 69082\n4142 52199\n55211 98693\n4773 16216\n71769 77144\n36862 56102\n54867 62836\n18590 78504\n31666 88314\n77359 94086\n19747 48356\n29677 92636\n24484 25479\n14102 48426\n84550 90430\n59352 81301\n13752 79287\n14701 55108\n21599 97531\n34314 36044\n58581 84573\n18046 49275\n7433 10454\n13544 81036\n26814 39354\n38269 57494\n2831 44666\n28382 84813\n58815 78108\n43591 74133\n33734 94187\n68770 83110\n26853 83880\n50043 98816\n88021 92036\n10931 69234\n45209 79482\n22802 29096\n72355 95023\n58601 80864\n14610 52289\n11000 40311\n50212 80404\n58986 75034\n72934 75285\n93864 97811\n75363 99441\n97965 99399\n22390 48328\n51777 98171\n8089 31676\n6258 70893\n26541 34856\n42502 61681\n18743 26626\n1174 65741\n18478 57962\n18189 57198\n2513 18615\n40934 55896\n69692 70330\n43392 61020\n2225 70974\n10299 77627\n13280 35927\n81858 88325\n43523 45909\n33701 50214\n19853 52350\n13164 98543\n6119 69863\n62782 73617\n22111 85618\n185 26361\n16873 50595\n72134 73097\n7584 86662\n27816 91405\n12825 62923\n39379 90559\n39438 85858\n52634 67211\n55675 61148\n11570 78825\n72859 91611\n53785 64490\n47491 51249\n52351 67664\n22868 66754\n21839 67532\n25154 91017\n13226 78815\n29398 57750\n2357 39377\n27386 55578\n44588 79042\n41528 50679\n40973 68140\n48066 50432\n14955 43430\n33533 96279\n71092 90377\n42585 68955\n6377 34152\n27156 42978\n35120 87703\n8955 31668\n57759 87436\n71138 73605\n33810 82527\n35337 88960\n38198 87592\n68520 78325\n1727 33732\n2904 27857\n54450 88290\n44290 96047\n11984 17036\n18926 55491\n1575 44366\n40750 82900\n47921 96050\n37483 96480\n73519 84297\n52929 90493\n38201 85271\n3436 13585\n5522 93876\n6186 46462\n42795 64655\n11609 73646\n14049 15453\n5507 53256\n20217 73198\n53567 98800\n23286 57532\n11579 61770\n818 4197\n48319 73917\n380 10066\n83396 95702\n7150 33387\n1842 9778\n74416 76793\n56769 63576\n88533 88965\n1072 18665\n75454 90379\n8765 46088\n570 16562\n16906 52693\n12891 30881\n20454 58670\n28600 72625\n2536 21886\n54173 59914\n48582 62523\n39197 87993\n73540 95453\n81965 98419\n59551 60044\n26082 68390\n17238 50635\n12406 76320\n10937 83870\n19329 52432\n4836 36191\n12049 86656\n14937 65063\n20977 68993\n17107 20595\n174 69931\n14830 96555\n28317 41649\n23909 98034\n60422 95537\n13275 20419\n4480 16385\n79291 85570\n1233 17830\n2671 56036\n31240 38572\n51091 69348\n24116 44540\n25535 36049\n14561 25629\n61903 76544\n56016 60056\n43656 48500\n50068 87679\n23311 66728\n44120 58816\n14939 71334\n25485 44530\n49121 58135\n13791 98423\n45997 80711\n42490 70795\n36683 56763\n62405 63027\n40071 51701\n41668 54485\n33968 56829\n84572 96413\n67583 73172\n8974 66154\n71845 86118\n62667 68635\n46366 97633\n1892 91695\n44982 47782\n3875 71253\n70592 96738\n12775 20754\n28331 47143\n22533 82151\n42289 44845\n8405 56786\n30639 79077\n23530 80229\n26386 59529\n66338 83959\n30994 31780\n13003 71761\n31400 64812\n66984 81974\n89265 89771\n43680 51315\n35476 84455\n44265 77726\n13930 69365\n33722 35369\n80462 88749\n75296 76842\n2852 14791\n22972 93489\n7747 97454\n18042 91364\n70881 82101\n37867 71380\n25554 69282\n19659 31791\n54545 56247\n2477 84463\n2824 58826\n61294 86280\n14585 31911\n1911 90131\n45835 58667\n23765 35915\n37676 54793\n18604 67142\n30469 65469\n30244 48706\n4785 49358\n45753 81417\n56030 97752\n52025 82730\n39104 67743\n26562 70613\n13689 24767\n57950 76901\n16175 45748\n5994 36613\n59894 91826\n6030 22167\n65320 83490\n45352 57637\n26031 93498\n31450 85620\n41661 41891\n6550 33024\n65371 99532\n2668 10984\n36414 52018\n68254 99538\n53596 54069\n61084 80569\n70421 96336\n49055 72832\n4860 65479\n71355 75691\n24251 48370\n2892 6357\n44956 68491\n21439 64309\n15430 87140\n6457 29451\n8682 74400\n12994 33232\n30574 31167\n57940 76085\n32645 76820\n44795 52782\n34254 62612\n6310 8852\n16598 31920\n13683 39965\n14021 63308\n69324 99899\n26365 97570\n19485 56312\n21198 29918\n29763 98162\n46503 56009\n79260 91274\n9716 27387\n45888 80594\n65899 72803\n3887 95117\n61853 68424\n14958 28476\n11215 35304\n74908 86313\n5156 91745\n8411 14003\n26962 52822\n31658 56338\n59791 61349\n6084 59586\n20296 47650\n27895 64096\n38306 59096\n33036 51253\n65023 77044\n7127 96676\n63148 70499\n2072 72508\n82154 92202\n7314 49081\n49573 75470\n32447 99712\n56026 63578\n21760 88392\n35608 50982\n52022 91806\n15146 58340\n90095 92522\n48622 59673\n19074 86822\n8593 47463\n32866 96931\n39110 72545\n40882 59539\n69096 95902\n83602 84987\n11004 88394\n10382 12884\n24570 41974\n18935 26372\n76172 92192\n64469 74117\n33681 71799\n14424 37488\n55576 84156\n1358 86326\n53378 78658\n27000 73109\n72977 93084\n35695 63372\n9335 25335\n44903 56765\n5191 85480\n30265 98105\n79256 97234\n26702 41119\n20798 30697\n23777 44524\n38349 65634\n34477 67930\n32193 77706\n86993 98517\n18774 86441\n37368 51412\n11747 43957\n30330 86027\n36399 79453\n65625 79428\n85136 89531\n33048 47657\n14373 31586\n27454 50839\n82556 86287\n78851 86925\n1066 56818\n52128 98916\n38144 59156\n15826 29265\n23978 80836\n59614 99524\n16576 33922\n68863 90699\n42773 61356\n16778 83687\n83205 86338\n91001 98722\n19457 93062\n19878 37728\n6282 80333\n20928 34719\n29761 98851\n3162 19153\n10710 82186\n59171 74736\n87136 96494\n35830 93437\n1963 55897\n14446 40645\n85776 87960\n27421 87944\n32978 53448\n36902 90575\n50059 87825\n92699 94262\n84050 88594\n7141 11340\n10782 18181\n6143 13870\n26272 73811\n5167 28792\n5893 76843\n81479 93156\n15193 43460\n62037 72425\n30815 67428\n89622 96478\n29041 63253\n14460 72036\n20760 70942\n16404 71008\n60173 94509\n12788 58608\n15141 50899\n70984 87182\n8705 68828\n64847 66892\n1975 7499\n7195 15112\n56049 90422\n43374 96636\n87634 95442\n81866 87916\n41911 90319\n47986 85510\n7202 96029\n27438 57241\n44222 95237\n9623 78564\n60985 80702\n28220 60626\n81486 91021\n17685 58264\n37633 83904\n29279 69936\n27794 92985\n13266 21759\n65810 97905\n14656 89304\n79203 80373\n23167 28925\n40208 92812\n53901 63026\n37444 53099\n17753 69333\n22355 58972\n38332 45628\n18395 83571\n32915 49911\n31072 70433\n68895 76552\n2098 83492\n19188 34681\n76875 90890\n60376 80121\n59368 64486\n55953 59167\n25955 77300\n89277 89293\n3037 11018\n1661 36003\n10879 14347\n23338 86386\n2321 86195\n27381 33368\n16971 49905\n31731 53070\n38881 94447\n35984 45628\n23239 24649\n37846 52622\n6161 67638\n11677 80256\n10071 45819\n36608 95709\n52165 71639\n47962 66296\n33519 48729\n66998 76522\n18116 53370\n64761 70088\n39192 49882\n20232 25477\n4942 87170\n17620 65851\n32778 40884\n65356 94442\n28467 42249\n29482 42187\n30462 36367\n16357 38494\n9401 83486\n873 93797\n17308 31173\n6190 10112\n26820 62692\n35492 74371\n78708 84626\n4040 73500\n46133 67518\n46892 71042\n6721 63771\n48698 79926\n7493 86400\n9582 46213\n51592 75158\n30927 79944\n35345 47511\n12363 24941\n70390 83472\n9335 13453\n22290 92099\n18923 63484\n57937 59357\n32237 46979\n26080 44208\n20903 44024\n12811 68240\n8741 29971\n3706 27190\n5284 17224\n69535 89267\n3841 11301\n21603 95465\n73947 91525\n70912 79112\n33269 63434\n68471 93724\n26728 60202\n13991 20352\n34528 78133\n6869 72844\n41047 62631\n16030 42971\n69180 91367\n69560 91157\n17676 42336\n88968 91960\n4801 87599\n57582 62992\n37107 70647\n8595 54889\n47612 60939\n11139 99850\n82433 88059\n27305 65936\n31933 62230\n27584 65640\n59966 79539\n82301 88670\n45205 97958\n73087 84087\n29931 41433\n47312 98315\n72320 90738\n37745 56975\n349 40395\n321 5895\n88754 96052\n37973 83877\n60312 66292\n48652 56648\n25679 38908\n80029 92044\n7657 50082\n29281 34101\n65064 78500\n45939 74965\n662 87113\n66216 90629\n19340 60576\n15057 97139\n43114 79089\n80375 84270\n1979 33994\n10622 37222\n1322 78214\n955 47614\n1248 24398\n53459 66045\n47340 47511\n50062 98485\n73697 90729\n26527 81857\n44824 83039\n11903 83544\n26588 31914\n11629 75340\n58268 85995\n55000 88762\n35798 65274\n22297 58288\n13847 39097\n8435 91801\n21661 37592\n13922 94782\n2384 14074\n50280 93512\n19432 47573\n54385 91622\n30866 34530\n76124 79304\n53312 73050\n32354 70619\n74631 99290\n1274 95962\n24820 68846\n74613 86807\n68373 85662\n33997 80365\n7448 38125\n37640 44475\n65006 91825\n77545 84656\n28140 74479\n5103 41806\n79009 89707\n52911 70780\n30836 84548\n17232 35130\n30913 82423\n58706 83441\n60076 82955\n34209 41448\n12084 86312\n30331 91946\n18543 53246\n19950 83537\n10456 11022\n35210 84632\n95245 98449\n70729 98921\n5749 71553\n21601 45137\n30889 34219\n53140 99048\n82792 83921\n1531 42138\n28894 58985\n11527 31322\n15824 24478\n37820 57851\n51548 85718\n17441 62491\n11266 64948\n22089 88895\n92 52677\n77097 81134\n4431 44012\n127 80041\n41158 57405\n90596 99396\n33210 62987\n31 4452\n31877 43542\n30680 94536\n7227 96944\n16380 75488\n49130 88503\n18961 59336\n58535 87493\n69755 87092\n11700 25877\n32037 56492\n46598 96410\n5784 14965\n46418 48105\n70335 74180\n39101 57289\n3245 11411\n58715 65728\n1241 2490\n12849 31179\n12250 45417\n961 69327\n70014 84685\n21605 52762\n35691 57236\n23256 86678\n45587 55874\n33775 62992\n319 60355\n40814 88349\n58426 86308\n66145 66198\n12949 75836\n17959 38526\n33608 64362\n32811 70039\n7059 40653\n40342 59615\n41757 56969\n89002 98801\n1566 50967\n91731 95112\n8877 97951\n23744 46694\n23693 41387\n6209 33495\n66047 91387\n24334 84940\n83287 84030\n39006 39175\n69222 79207\n32663 33601\n16541 24786\n641 4201\n14379 87385\n12194 41101\n82355 98019\n49832 85732\n18776 38464\n39501 43474\n4153 13827\n51186 88176\n75455 85173\n39337 50812\n86650 94177\n31380 94976\n72376 76645\n15059 69941\n71657 96576\n7258 27653\n24642 77876\n6321 40083\n15325 63784\n49159 72120\n84522 84990\n48598 59658\n56778 57133\n44892 69481\n32168 67065\n22147 70874\n25308 78359\n7944 64385\n64371 92619\n14723 39630\n64268 92756\n37721 51762\n62915 83466\n33755 85097\n42511 88997\n38924 76628\n60213 72708\n72627 95283\n33205 79828\n38580 80371\n41111 50420\n17200 32069\n492 85515\n2221 33648\n75809 85736\n75159 88904\n252 30300\n34819 46163\n21912 51200\n12369 86853\n89647 98464\n12492 30928\n19995 65210\n9122 23766\n4529 61712\n34865 63695\n37773 39823\n25200 50600\n76917 93177\n19313 30359\n14688 83738\n5917 23161\n7654 69991\n32103 34851\n50513 63377\n44844 89480\n10653 49638\n27251 27565\n13065 16688\n11131 86867\n40 18391\n6234 45056\n81524 89030\n35605 94586\n13439 77076\n40140 56873\n15903 35910\n28863 77331\n22352 78077\n57739 59409\n32474 57973\n62715 83602\n1536 87822\n85215 91804\n7530 62467\n47587 83227\n2109 98861\n39524 59515\n10706 74637\n13927 51864\n31880 78905\n12147 43862\n17092 90301\n41369 75097\n69294 74777\n39576 82819\n11857 63941\n10004 87421\n11125 39814\n10489 26753\n41551 46186\n36299 85578\n15419 54278\n598 42498\n53425 87903\n43397 59655\n28441 97472\n2978 19840\n9299 50072\n75850 90299\n19481 75674\n27726 60903\n44716 94808\n64728 70420\n66274 75048\n53499 80425\n31854 46516\n26617 95518\n40413 44560\n70593 96619\n16418 56954\n22075 28924\n2426 17003\n14123 53377\n51158 96324\n15579 80880\n5562 7315\n36379 84122\n27348 92407\n13707 78865\n3170 89645\n20911 55638\n4668 20285\n49547 55925\n9869 24601\n7088 70234\n28103 68675\n60408 72809\n20563 43758\n8199 30035\n6287 48648\n1450 81004\n26015 72736\n80860 93196\n4432 83473\n14489 79588\n16091 29124\n92876 96666\n11938 69074\n26205 64922\n52400 68179\n5531 30956\n21450 45148\n20760 69215\n26117 61909\n66008 66307\n61349 94440\n28976 50300\n9890 78940\n45496 87506\n8870 84720\n25900 86210\n55878 74042\n14217 43163\n74755 89486\n8255 88066\n33844 91813\n18186 49442\n43989 67266\n29405 52275\n7715 60822\n43729 45803\n38972 52237\n48850 64202\n17131 18887\n5525 79811\n10567 56954\n71987 87550\n1383 73150\n64373 88552\n46622 97338\n69387 76770\n59336 84079\n36755 60465\n24123 98304\n42828 48759\n65606 92573\n73242 73289\n5997 12607\n33064 85743\n56873 63005\n63669 75985\n27733 86878\n19003 33688\n1539 51144\n17055 69168\n34717 52447\n25399 44003\n53763 95464\n25059 82915\n675 30889\n34671 82693\n30692 44342\n56694 77620\n66298 76925\n21532 65367\n43873 45332\n20033 80163\n18677 22729\n47361 58749\n28243 64904\n49372 65803\n9439 56343\n63743 93189\n47274 89476\n10953 81872\n76681 78826\n3901 28390\n1892 77570\n21882 81426\n28507 29688\n6569 75340\n4673 58506\n20626 69977\n6431 92972\n2661 7638\n30976 36949\n10527 68805\n17041 82733\n67725 69226\n351 71195\n8068 50417\n35400 45749\n79598 94605\n30295 85168\n41272 65483\n12604 55723\n4104 92246\n28335 44985\n45048 58764\n90171 90794\n326 49553\n15258 40384\n21830 85429\n14953 96713\n14145 46269\n2067 32491\n62517 99314\n19297 55539\n92700 95806\n24736 36027\n23193 82548\n38187 85509\n8586 36193\n70422 87925\n80989 99631\n81435 93281\n2354 8346\n5910 90495\n69299 70339\n15330 45950\n25581 45554\n50013 73707\n81758 82361\n45218 96421\n20199 67444\n17706 31406\n43947 60412\n24348 98718\n49352 60598\n58951 98255\n38036 72143\n15862 89891\n6829 70345\n78052 91203\n13237 55545\n14824 80659\n41998 95235\n34217 55214\n17527 23650\n57809 88911\n10181 69930\n921 73088\n38959 94486\n23545 91186\n35042 40426\n57248 57430\n77132 86253\n15342 37009\n12352 48339\n47210 88466\n74896 91621\n14081 80347\n13638 72103\n39579 49882\n9237 64880\n2527 90078\n70082 77956\n28454 36010\n44007 79894\n6633 30148\n42891 85169\n60693 71883\n23161 82208\n57276 70548\n41843 56890\n33224 91812\n46776 58210\n50827 77121\n40519 70916\n28806 54963\n51242 87559\n24959 35151\n9901 26052\n42800 85169\n40435 85648\n35676 41695\n32980 33232\n71970 86459\n2047 53757\n4228 9484\n42770 90014\n6042 59106\n63230 85691\n23889 68136\n2880 83187\n27720 71613\n39029 77526\n25343 93545\n3939 87411\n72126 83022\n24647 72055\n93762 96518\n4147 13805\n75091 85569\n22835 63684\n6827 66253\n66900 87987\n36679 57571\n26216 61984\n10765 12904\n17003 70559\n14148 70376\n30671 39379\n31735 91154\n5467 53960\n7002 12272\n52684 59488\n21053 71928\n41791 60819\n55360 61916\n24548 41497\n12799 65168\n24680 85256\n54031 59941\n392 44618\n6402 70788\n44906 76048\n1988 44194\n20015 40410\n44778 60395\n3229 66511\n42710 77864\n8275 89052\n23371 23738\n42233 56341\n14635 91541\n45975 47460\n19857 36707\n67182 77076\n83680 85461\n70730 76250\n4777 56011\n22399 33063\n56449 73687\n83820 93786\n74573 95924\n25523 37741\n51701 75800\n4971 66384\n36100 55519\n40665 45691\n28013 56272\n19934 61290\n30698 86725\n60181 85622\n8566 92414\n53157 81205\n18263 26049\n88419 91263\n49097 84354\n24491 44605\n9313 41123\n31275 34771\n53005 79183\n40348 46639\n42674 80071\n55302 74803\n11633 84190\n41217 51087\n438 592\n32533 93858\n55769 73083\n68675 98851\n2305 61785\n707 14817\n55927 56579\n24610 44820\n33671 56060\n18297 43054\n34202 78667\n12584 76586\n32327 52516\n648 96357\n67399 83612\n44908 47467\n43535 92657\n66282 92460\n76871 93113\n217 98069\n81774 97391\n55888 87953\n32431 92668\n44742 83128\n32345 98662\n39278 63295\n60732 65642\n7739 18067\n8043 56429\n151 91561\n27121 87138\n1225 14506\n27844 90791\n14143 48584\n8179 12621\n64827 78363\n8460 75077\n26327 93025\n33965 39733\n62605 74276\n66918 71535\n76514 76970\n28989 95193\n69664 99862\n23116 33264\n42190 44045\n54041 88648\n15374 93815\n23018 61239\n6988 86650\n34204 69375\n19022 77747\n54538 73485\n2541 27751\n23504 78636\n12786 23162\n44977 59586\n48948 98245\n84884 85356\n10590 72255\n22157 89179\n48899 94309\n2535 14857\n20530 22524\n26621 81823\n34379 65524\n19213 36756\n14234 53389\n29991 70338\n6425 62220\n24640 83011\n19360 89956\n25764 79824\n56483 72001\n15541 87635\n2278 70343\n70448 80599\n27806 67115\n16790 57657\n15908 91683\n4444 8922\n15146 62578\n44698 49369\n53138 53942\n12521 65453\n57056 57131\n18714 48167\n43717 74396\n29766 43593\n5784 75640\n16027 39191\n71333 78966\n35923 74674\n8140 67412\n54028 73236\n20 90151\n21569 51001\n46534 74171\n74967 91702\n64284 80376\n74008 98288\n484 50490\n32035 60059\n25802 77245\n16585 28594\n11481 18594\n18364 26920\n16865 86753\n21631 50968\n43387 58627\n13801 88731\n9858 32161\n12902 90760\n40464 93473\n75700 84702\n52152 62749\n15057 42654\n63421 86095\n3499 31453\n41884 93388\n56557 70114\n27229 65362\n6319 87034\n30871 47487\n66447 90082\n1197 82012\n38372 81538\n4392 97487\n30004 45565\n18327 55907\n68242 93185\n59990 90723\n7661 16038\n40847 92637\n65338 93863\n11118 16686\n17124 31770\n30185 34138\n8374 93374\n32611 58626\n15536 81937\n92974 93251\n14527 47334\n48823 78762\n67567 90769\n25989 27204\n14247 21715\n78858 89489\n39028 97070\n41309 60986\n43440 83205\n41210 57868\n55308 73190\n24299 40230\n51728 90544\n22270 59333\n28969 62943\n61899 78937\n85578 92774\n75215 93668\n4004 92471\n58108 98045\n1852 74753\n28260 64928\n14242 85813\n60150 91133\n9853 15105\n3132 25756\n20346 47409\n77285 80034\n16988 38842\n54621 63184\n47144 93696\n10533 78571\n69326 86710\n62805 75772\n25516 31353\n87247 90492\n74557 82213\n8684 11800\n2197 29798\n7502 82656\n34621 63399\n34843 40453\n30713 52976\n71419 92973\n49167 98032\n63139 88036\n17278 44071\n50375 84190\n4147 61212\n18753 51997\n30983 62482\n83381 91134\n11517 37509\n5635 44683\n7428 94671\n35984 49783\n29969 86737\n51723 94763\n69478 86841\n11011 99144\n16089 24275\n2494 97478\n9407 99637\n27685 56691\n6394 71061\n28304 50949\n37890 49497\n81989 94496\n18223 85039\n1158 82240\n58691 78100\n28266 57833\n53561 58121\n28498 62993\n4564 49186\n4661 57801\n4708 14161\n16159 77790\n575 79859\n53749 76571\n44214 59006\n86331 87183\n73647 98137\n30199 67067\n42428 82687\n55861 66407\n13976 20267\n55054 65875\n23946 78522\n520 49426\n52809 92652\n13648 58346\n26238 97501\n3797 29248\n14261 34999\n50742 93822\n30534 90698\n36663 64993\n413 51479\n52365 78689\n79607 89287\n26410 60363\n4120 90066\n40149 98084\n20047 43295\n12855 72810\n88971 99095\n74401 75647\n7192 62363\n3104 82271\n56437 69353\n65677 80010\n41545 76753\n64358 68268\n30499 63471\n28665 49715\n13528 35922\n30745 48143\n17182 58893\n9009 11873\n15788 74609\n27414 50046\n38371 82093\n62126 71415\n86066 92923\n6481 22172\n1745 33612\n41835 67671\n27699 45467\n91459 92392\n19103 68722\n32470 67641\n40955 60977\n31104 60128\n17770 33608\n4549 77561\n10885 42974\n32154 36376\n22853 41506\n36258 49657\n30600 66165\n26014 92251\n57761 91786\n24170 24893\n31781 47555\n10248 26978\n1689 36978\n25242 53320\n72953 81386\n397 37188\n750 27482\n43423 51315\n89792 97050\n38273 46332\n58843 81190\n61009 70977\n34419 84148\n8064 24073\n1792 37840\n1826 45012\n40185 55749\n19782 95035\n47525 82550\n18540 71181\n40663 66033\n39704 48647\n6440 28454\n55205 82173\n24311 45792\n17297 90749\n26623 96738\n9345 78762\n26888 27813\n34951 86341\n27123 40283\n29551 71636\n25123 82642\n53913 75923\n22439 92960\n69463 95376\n52846 77898\n39383 56043\n25986 64406\n11957 27936\n18327 81401\n19664 40177\n7493 48507\n20006 97479\n19993 72630\n31983 77511\n33030 77681\n21292 50144\n68479 86386\n55465 84391\n35427 98319\n353 98399\n28685 54294\n29864 88085\n46657 93099\n2423 2482\n29652 66711\n95059 96679\n20216 67906\n51929 52379\n47400 67063\n89962 92355\n81205 91256\n19929 26248\n15829 66909\n8493 32157\n24634 75439\n17572 21276\n68124 85092\n14629 29997\n544 81260\n33690 45679\n73639 79856\n31832 33122\n19592 51452\n44425 91926\n52164 60610\n7659 93758\n18541 93297\n55625 76364\n54237 84594\n71513 73304\n1609 19718\n24973 40985\n77107 77570\n14735 53593\n12014 92197\n47012 87059\n53920 64337\n35848 85529\n10646 60709\n31147 35560\n8173 40474\n7162 64759\n4204 48642\n34226 67890\n12434 72869\n76755 79799\n43133 88952\n8951 66536\n14441 34307\n7947 11595\n41232 78141\n52655 94945\n39960 42224\n5596 78704\n65831 68805\n14684 44428\n19603 29895\n33183 85219\n41861 89759\n30269 46673\n79991 93563\n1627 33549\n38278 76799\n54914 93368\n21585 73306\n3053 48715\n55242 78923\n75391 93009\n18467 59280\n6401 25491\n93787 97190\n35236 52561\n21260 68179\n10652 75188\n71568 80986\n50291 57429\n91213 97680\n26068 87326\n71603 92630\n26142 54127\n15166 86062\n23575 49445\n40363 61763\n15171 47039\n8035 15066\n40522 87608\n63794 78521\n15924 70610\n53404 94163\n40522 90243\n94952 95047\n21677 58732\n88495 96008\n44366 82425\n9397 32916\n35789 96803\n26955 33152\n17060 89708\n9747 37069\n48881 78492\n61842 92579\n53509 91675\n57814 90053\n30199 58305\n9507 19599\n64210 66297\n6002 97546\n4554 98278\n56914 61832\n13837 22741\n12974 36218\n48141 77199\n51052 72273\n10431 35824\n32194 75564\n11333 56673\n49125 56298\n10298 78367\n64958 75825\n18948 75421\n4530 71561\n6435 15736\n35149 62060\n45207 46577\n54798 68615\n67560 99358\n37018 97875\n37925 70813\n45131 70495\n50446 84406\n36078 48287\n2774 97239\n66627 67528\n44283 76604\n62115 97874\n10176 26772\n31521 66955\n510 89328\n32599 57363\n5233 29327\n72772 78674\n9344 89600\n35612 44091\n34914 84906\n64836 80992\n71363 76094\n46481 59407\n84078 98851\n46781 67992\n17558 97277\n43618 88475\n3311 52949\n37532 61881\n1264 76302\n73847 87748\n30150 97045\n22265 50781\n37814 43857\n7622 23310\n62522 84049\n9756 21638\n31946 68208\n9345 97366\n50246 88819\n58383 82464\n31533 72085\n43431 44276\n31795 95282\n70686 90900\n13718 83213\n48647 94351\n40932 67950\n37891 94638\n60189 84767\n8120 62168\n29704 90460\n53387 61828\n90533 97108\n17473 40118\n44106 68590\n2213 81563\n41122 96958\n41856 60194\n17317 85845\n2045 46920\n1692 64232\n53564 75794\n14610 43135\n13034 21061\n49787 66931\n69308 85080\n78291 94126\n4594 84682\n2885 98457\n43757 92629\n34621 85565\n41148 60330\n15099 69487\n23848 47790\n57465 80750\n14352 58794\n38912 51864\n44320 63937\n37409 76940\n53116 57902\n35144 51466\n48843 95227\n8941 61235\n8627 70890\n27192 29201\n16211 57378\n18 81648\n8780 92378\n53094 87012\n28297 85777\n7993 72091\n17265 33727\n28530 82737\n16046 43996\n8309 49461\n26912 61327\n9155 99652\n79221 98331\n44552 90195\n7790 36341\n19470 95369\n9442 27290\n2979 22489\n11898 19044\n83227 95899\n81089 86961\n1117 90535\n50765 95378\n22285 80433\n2171 22743\n26511 87970\n34476 55609\n5300 81290\n26548 36403\n44347 87318\n1403 49248\n43990 46878\n79769 85289\n5688 77839\n36470 45690\n8339 56519\n3692 15427\n12826 43593\n38731 44082\n10652 46441\n36567 43009\n9467 45189\n1375 65959\n61972 64017\n66490 95420\n14363 92648\n25719 55549\n23204 32518\n33947 68498\n54237 67339\n63116 73680\n35746 46482\n33369 45794\n63243 65349\n46546 79927\n47484 83537\n8483 26004\n63878 76994\n20830 79283\n7945 57138\n16422 74394\n10199 82247\n31170 42106\n8871 74968\n33583 42403\n86700 97075\n28892 39153\n1286 15173\n40053 41340\n68676 83859\n8013 76856\n40008 50744\n11174 61517\n51304 64086\n42120 72771\n29280 52952\n21406 89043\n53858 69930\n32135 86543\n589 88408\n13525 22194\n20263 83619\n47764 54804\n17765 98294\n77234 93852\n41603 47165\n23837 37310\n63404 84594\n56568 93915\n26083 71679\n40861 68584\n46943 56833\n17603 60701\n33367 38431\n27909 45264\n64598 85095\n39265 81487\n39697 77253\n15982 19585\n44615 74578\n47132 51784\n21384 49614\n20212 32998\n28945 80230\n40294 60586\n1541 57342\n38155 64461\n9899 76774\n67081 99388\n135 30394\n22327 72421\n18224 94048\n35623 99746\n415 22883\n17274 91844\n16742 28539\n65592 86505\n50869 72669\n78005 94434\n39074 66829\n2497 20283\n16372 30322\n27895 49380\n5174 49007\n42334 58374\n11324 98203\n20764 70983\n35182 89137\n28929 31026\n46962 67503\n57526 74398\n43368 70912\n30433 73284\n1130 60820\n49033 88143\n55421 65607\n42753 70527\n57822 89406\n75364 89536\n26606 45102\n51375 74188\n3350 17595\n8270 81723\n1709 95015\n23294 53490\n60623 61368\n2259 88457\n7181 25600\n7717 69853\n90789 99987\n69483 83170\n39900 51935\n10303 73709\n23689 70447\n62672 66942\n76677 85340\n38008 39591\n78317 78549\n34222 50998\n4690 75354\n33835 76302\n5158 50879\n70417 91211\n55553 98628\n84755 98354\n35402 81013\n62583 80518\n42820 85243\n44420 73537\n18843 93482\n24596 58015\n12206 86133\n6553 36135\n30696 37755\n41322 45795\n20714 99229\n26637 64393\n28202 35130\n7235 59302\n50433 58925\n57284 58351\n33570 36962\n37790 66718\n1227 7486\n31844 48093\n12363 35536\n31967 50486\n28336 94904\n31564 37014\n22074 33222\n17679 84951\n24969 77013\n36321 60115\n49919 87307\n19062 98554\n41042 97178\n8851 50452\n24714 52773\n9667 71050\n27226 74293\n23292 54948\n50204 59481\n51395 82544\n9535 22520\n12322 93865\n13278 46256\n37171 87942\n37750 62299\n20335 89091\n62837 91687\n59747 99013\n19375 85576\n117 228\n42880 71763\n46006 65423\n29604 62885\n23586 51837\n9726 52785\n14002 79453\n39147 54610\n34196 40485\n30243 93521\n7681 36184\n31367 83557\n44329 89206\n18544 92907\n6549 24291\n58450 83209\n40895 94301\n2786 27506\n66129 73632\n12714 47934\n57549 76024\n60604 70557\n46815 53631\n3548 57619\n21228 41742\n29500 49649\n17012 24541\n48389 65278\n88442 92907\n10418 61538\n82622 92704\n66847 93074\n1431 57414\n25051 38083\n38851 81151\n21502 76017\n5470 85455\n28267 51547\n9228 32223\n22593 68489\n38831 50942\n51061 89377\n6290 38827\n6495 55099\n37636 63831\n75505 90305\n70426 72372\n24700 73061\n29104 84289\n57057 69095\n34706 73288\n10117 91594\n10422 15490\n44250 83984\n22102 49956\n35577 71937\n45336 48720\n48882 51352\n27632 30330\n82114 85635\n20022 24449\n33459 53822\n5199 50530\n56031 98529\n86004 97182\n25329 39730\n64282 94519\n34585 81737\n10659 27448\n23706 82583\n50026 72503\n29191 64645\n2005 64400\n30822 84802\n14224 39315\n40084 81482\n5748 46439\n13996 28537\n20102 42370\n58379 88235\n22082 73675\n53108 73296\n32028 94881\n48437 90619\n30242 60607\n16308 67140\n49318 84434\n23444 84551\n7408 71321\n41004 82366\n39451 44209\n17436 93721\n56779 72589\n23682 43358\n38928 57890\n66612 97145\n30618 53529\n3869 52748\n2714 69649\n70719 81622\n12659 58643\n71662 84597\n3322 99987\n10429 16925\n3925 57612\n4374 76740\n11756 66221\n55578 58450\n27203 38588\n20893 84426\n33600 64275\n33681 41790\n19847 80513\n9510 94745\n73091 89254\n49652 64716\n1230 92922\n29744 65877\n32916 67840\n59484 69313\n14189 90151\n23920 63756\n16641 52541\n1521 49596\n44159 91021\n16707 74818\n44917 47845\n25564 85148\n31198 87181\n10143 58466\n11457 67069\n12841 34537\n24072 41211\n3143 80481\n64374 89973\n72554 83854\n55460 92916\n21192 98824\n14757 72538\n56599 82309\n19992 79487\n48198 83731\n14977 39045\n36202 93756\n26428 55329\n12499 57349\n77811 79025\n19035 33681\n4411 85785\n45712 98218\n10622 64456\n37660 65340\n77869 91032\n34803 42642\n37803 48018\n6482 48377\n37464 66443\n16621 36889\n84610 95974\n1560 34564\n20563 66730\n11928 64505\n2303 96258\n48085 87627\n48261 95984\n28476 96784\n61903 97503\n68177 87122\n44775 86155\n8491 25296\n54594 97455\n3455 69726\n61375 67576\n6675 68088\n13306 89019\n2234 37069\n41509 54792\n71289 76873\n28920 78693\n1348 22998\n137 47745\n24061 97102\n36566 53693\n9586 16558\n55105 73902\n68137 83774\n14616 34136\n62759 78373\n45249 90077\n47760 53993\n3717 72198\n36334 76701\n23392 46707\n70184 82755\n16666 78960\n69477 92006\n2478 95866\n11022 83743\n5415 13976\n1357 23144\n42451 96053\n1567 4716\n4335 34570\n3578 17421\n16461 88068\n9929 83537\n71344 87300\n29724 55691\n8273 32091\n24876 55186\n22574 97953\n47641 98683\n13824 80953\n84427 93315\n69976 93963\n47657 80510\n1983 41654\n29045 76811\n8650 22386\n33033 78728\n20828 73035\n12942 56997\n282 33253\n38352 50062\n19611 32748\n24024 54363\n12730 47944\n24084 46058\n56446 62846\n47304 86117\n73338 79587\n47063 99091\n16412 71128\n49624 86808\n57757 81085\n25706 59825\n41495 94778\n25717 58371\n32517 37745\n19827 88254\n73925 84859\n48333 97318\n19449 68612\n9820 70158\n13448 81877\n20420 86919\n61049 70152\n973 77629\n10355 41646\n5942 18258\n43167 88003\n84210 92747\n34674 78839\n7728 38659\n43853 97432\n46574 82530\n13358 33972\n8186 27203\n39222 44034\n21406 67138\n10857 73554\n4805 67463\n31157 58960\n80232 90898\n56856 82422\n19629 79623\n5082 96336\n59708 62808\n9910 21920\n77065 84258\n62724 74499\n55401 92416\n58538 81606\n70216 89887\n35653 78780\n6578 94454\n23965 50248\n95299 99695\n28032 67563\n14432 66506\n75675 92870\n27866 44562\n6598 91079\n38027 51674\n3541 80720\n4649 28419\n296 20110\n64484 74759\n74908 84734\n64475 88522\n61261 83976\n8925 50095\n7959 71866\n3481 62607\n56222 96008\n32624 87303\n42830 58995\n92406 97091\n16656 84967\n96188 96737\n70823 72573\n86924 99845\n14744 15787\n28200 79569\n12673 14331\n27615 31557\n24158 35049\n53867 88198\n31490 66991\n55697 57244\n14873 75096\n50206 56244\n46593 88288\n21128 83274\n81068 81447\n61386 76486\n24360 84342\n65113 89785\n51313 90967\n16702 53666\n77595 96495\n47435 91642\n45973 77862\n34544 37452\n69557 77251\n18721 76597\n1419 27046\n37838 64914\n6976 48253\n37382 59601\n32802 39087\n47621 88649\n13675 78377\n48447 95002\n45419 50986\n3908 15304\n5121 25750\n46336 99270\n53251 74478\n57123 99498\n21918 80161\n10351 66213\n32720 58097\n59625 69248\n37877 83263\n50113 98747\n28434 61044\n30140 78972\n21323 23605\n33292 60819\n35787 79559\n43266 86695\n3081 33999\n20107 52634\n27746 82562\n30811 47827\n9761 35131\n32950 84624\n35631 62415\n75193 98749\n5797 8181\n880 54605\n20937 25950\n30051 33543\n7623 78991\n3074 84214\n42366 95442\n6238 44957\n27123 75056\n53894 72567\n55367 65554\n44557 49565\n69689 96958\n7522 46245\n15152 63836\n4074 23881\n19433 98018\n73338 80456\n6748 80264\n65701 69560\n20676 63447\n31542 92498\n41299 56576\n53408 93361\n3538 6103\n78676 91462\n44159 88776\n85103 90120\n26519 86213\n10654 92668\n2454 94191\n18409 47207\n36646 95643\n1758 89121\n55866 94151\n78941 86228\n33049 63989\n7273 66710\n17347 76701\n35707 42306\n26833 76210\n40427 99497\n18772 82673\n26798 72147\n5148 7637\n8844 36455\n76584 82079\n74897 85538\n84002 90614\n92407 99698\n66435 74504\n43780 65643\n24279 80473\n13020 69022\n42303 74629\n13898 27302\n38941 84698\n7816 60423\n53515 90038\n1908 29770\n71441 87128\n28502 47915\n4007 26969\n89302 98565\n67960 90038\n60548 86856\n32657 67178\n38525 83222\n7258 34937\n51096 55737\n22164 92800\n38741 92190\n31795 36124\n63973 92114\n23104 77102\n31835 71628\n2278 49662\n17739 71407\n10705 42018\n13573 83483\n4117 30986\n19830 85457\n33553 38966\n16688 16802\n8459 62734\n6241 68955\n20014 59842\n16379 41113\n79861 96325\n11948 85794\n37561 70265\n19191 86375\n40500 56414\n47562 64102\n7868 83663\n30104 75957\n59742 60518\n50074 88678\n11963 37642\n72804 84662\n30664 83652\n44747 52803\n42974 59644\n43407 79620\n9752 46292\n17870 90801\n32873 34932\n25464 34481\n11738 34422\n20301 56486\n98068 99146\n69019 94551\n29321 95530\n73168 78183\n86155 93564\n60837 61062\n2944 70389\n60703 86695\n25466 89899\n27347 58421\n33304 54822\n33420 50387\n14631 79813\n17282 58356\n3540 74714\n60203 66283\n49951 52744\n78693 90928\n2852 27774\n19649 28801\n46942 75551\n49390 55692\n51553 77650\n30439 59235\n118 55465\n56313 98757\n10003 95575\n36631 64285\n5606 46534\n56769 85608\n6388 8326\n28025 47877\n5071 27272\n43744 95370\n91343 94827\n21278 70742\n71161 92222\n14235 18800\n42042 96431\n13650 33974\n38267 91616\n18714 55364\n281 87173\n4391 72213\n96395 99460\n10369 16108\n43336 71512\n33187 77702\n9391 83026\n10393 39435\n41183 84867\n18056 30863\n15683 55704\n53058 53530\n3104 27093\n54944 87652\n4713 28791\n4482 97257\n31383 82955\n42729 58813\n43303 50612\n33122 58166\n28982 30482\n68296 85484\n76314 79508\n10112 97711\n36537 95221\n62199 77034\n40865 94026\n24975 76746\n6715 89923\n75599 91422\n43510 87149\n8375 58371\n37498 55006\n51957 97455\n63157 87917\n32345 77690\n26124 38251\n51289 51298\n50646 95906\n48269 61707\n17949 18691\n67250 72345\n31428 99732\n73547 86909\n8495 85018\n23140 35845\n32142 67908\n19225 77379\n41946 76093\n86044 97540\n23698 37212\n27920 55306\n14151 51415\n3709 15789\n11204 86652\n72448 81969\n32593 68797\n5946 59429\n35173 69832\n45408 53553\n3782 61178\n18610 74004\n6830 30642\n56207 90616\n26958 66545\n19819 85680\n54 78064\n59875 85518\n25668 87962\n29263 97983\n21247 22301\n30838 51807\n40283 85851\n78516 80303\n57119 72016\n12114 34862\n30432 90956\n38888 59019\n32269 97583\n9320 98861\n25814 33470\n13459 38653\n14692 32327\n67145 88298\n14905 25703\n24091 63322\n23370 27761\n40619 92992\n61819 88621\n78860 81185\n38949 56572\n66979 70135\n27033 58183\n14766 88685\n5979 6856\n14392 36910\n56024 58983\n27919 31188\n10102 32625\n14987 67685\n14943 95261\n37423 85304\n4593 90516\n23841 86210\n41007 49447\n46197 97934\n18050 74320\n9175 81882\n66345 98895\n67621 75112\n23698 58702\n6009 62303\n26523 89944\n85655 92970\n49995 55213\n11962 66123\n73468 81712\n46873 66788\n10391 83115\n17898 82797\n67920 68223\n43407 70892\n2990 21356\n21784 95891\n22099 70880\n20121 94904\n30150 31987\n92319 97942\n63405 91352\n7476 89150\n24142 39461\n61900 84398\n63526 99119\n4715 44114\n20354 72535\n93973 98489\n68634 96809\n54918 74056\n14630 76614\n14471 47839\n39085 62294\n76261 98819\n1587 35534\n45445 54102\n85036 87142\n21485 33239\n44606 61490\n45903 89702\n92577 99692\n38774 77235\n63651 87320\n28343 51237\n22481 36805\n23584 40805\n3572 49631\n9153 26029\n17742 25979\n36997 95938\n5035 79692\n12775 76838\n8054 92340\n38179 56943\n6321 99266\n19084 97691\n6160 68150\n7664 35368\n46095 94808\n58128 82937\n53468 57511\n24556 31169\n41003 57893\n4709 40532\n1928 87090\n15116 77051\n8355 22276\n148 16734\n76341 88073\n14942 37157\n59321 67903\n40122 62383\n24115 26403\n1484 34555\n68168 72452\n20982 89681\n7449 24943\n52806 90577\n3876 56060\n11753 57619\n22324 25356\n6721 73322\n17451 66615\n17863 58012\n87787 91609\n24900 70705\n27678 57846\n33474 67244\n76763 99699\n6641 22246\n56997 82966\n21822 90987\n32832 78114\n12973 51811\n31860 99865\n5752 95909\n417 63928\n48747 97441\n9979 27250\n18024 73926\n22182 78411\n30110 50659\n3048 70355\n3044 25271\n33771 54208\n76435 86465\n32379 85211\n39637 64871\n8928 47372\n53835 74209\n48893 88626\n21929 47720\n322 91331\n1455 28079\n22766 23674\n22568 37903\n17917 42932\n39094 67192\n51552 53867\n50467 93653\n6074 97542\n24172 99406\n61364 75279\n51302 58061\n37208 37598\n32445 64282\n63746 90728\n3323 46704\n70897 81417\n47503 87935\n53909 65816\n79492 89844\n25862 91777\n45581 47102\n67929 88786\n12252 32706\n53490 89202\n72474 78971\n16036 98044\n32536 47461\n43454 44472\n34437 66246\n69798 89550\n17818 91071\n22887 81284\n35263 35388\n26087 38494\n47778 80593\n67884 69602\n44083 96451\n60157 93090\n71639 94005\n79135 95389\n50349 99604\n14731 27645\n18551 90075\n53806 91904\n2952 65244\n49014 64151\n80791 96273\n3187 23671\n31011 96042\n77355 94918\n19734 81663\n89623 94314\n21323 29949\n37350 81869\n18893 96345\n49606 89939\n20548 68356\n15032 64481\n2663 42373\n18310 42866\n2588 89360\n64093 65224\n61068 82307\n43818 93295\n49154 99094\n38821 96635\n44579 46389\n11145 29171\n48507 60875\n5794 63028\n60752 81046\n9300 68593\n1354 84579\n26574 32742\n1682 21005\n75800 87951\n61675 98510\n57091 86478\n4877 20635\n54709 71915\n25052 83833\n73874 78193\n79767 98807\n55346 64150\n87526 93078\n17741 38733\n26349 91845\n87769 92102\n4034 40834\n31968 62225\n22621 38070\n57580 83291\n58348 68303\n11705 92017\n31404 64724\n23386 29535\n70618 97895\n13344 52570\n41908 59194\n76784 86127\n52872 97346\n91493 99655\n11798 42699\n71409 85081\n72136 96681\n30458 74311\n76160 91588\n32424 60459\n33710 50604\n10424 78554\n13594 82862\n44821 96870\n31714 61165\n31627 98118\n39053 43586\n91140 98259\n17500 80371\n9633 19946\n53962 59959\n12308 75896\n8390 74612\n2461 10057\n19641 92758\n41389 76239\n14214 99930\n37626 40577\n49918 53790\n33211 41625\n461 97285\n16468 90780\n18107 78697\n73873 97009\n38952 84853\n50870 73359\n40514 66821\n41290 65995\n11854 98885\n10016 63502\n22173 70427\n6764 93309\n49984 51400\n11653 54751\n33248 77757\n11600 86958\n81876 85045\n78573 82426\n22044 39399\n11569 50220\n67052 74582\n49175 52420\n82726 92643\n39827 73843\n70213 77564\n33548 76866\n43742 76021\n9651 17298\n66627 82955\n20342 75806\n44623 57199\n43231 44410\n47758 84270\n35990 38023\n60571 99752\n23937 35207\n55583 82333\n39827 67042\n5017 73992\n13661 98658\n7122 32090\n44163 47448\n34207 63352\n85325 97910\n12837 42864\n42015 86351\n64045 85960\n74189 79060\n87748 92140\n18139 72153\n5310 73981\n1060 88068\n40296 50526\n17088 35014\n8473 79542\n16310 83757\n27690 59266\n23168 23480\n37244 59220\n35007 62407\n43646 69823\n52609 70957\n4852 17373\n77138 97985\n8883 56959\n1323 38166\n56927 86583\n17262 66427\n20288 45976\n63746 70264\n26093 42662\n52652 97004\n39035 40836\n59796 94067\n76147 84654\n24268 50976\n66214 89003\n79396 95412\n23552 82903\n56031 75493\n21313 74310\n24564 26380\n68647 96379\n40198 46033\n31651 69658\n15718 44379\n8016 77882\n32533 76688\n73012 88995\n49847 71570\n44122 89645\n57799 70022\n23931 72393\n43612 89220\n47149 99881\n42173 69848\n14366 93236\n21645 51954\n8348 36714\n3158 19163\n65988 91009\n86359 92019\n19873 52861\n51656 88406\n49731 85484\n1837 12243\n68581 71055\n2084 72205\n26622 46654\n4619 89918\n22307 41041\n25978 62195\n63417 96732\n19320 21318\n58198 71422\n61495 70538\n93191 96516\n41751 74173\n41075 41142\n54625 99612\n25068 76083\n15458 76161\n799 50509\n30114 69030\n1022 49575\n43056 97668\n65704 82602\n30910 42982\n61142 79240\n41776 89970\n27281 91347\n14347 52424\n81739 86630\n67184 68902\n4411 16531\n2467 9262\n8401 64471\n16471 23793\n6479 47729\n2261 32567\n75667 78084\n43111 87297\n26280 83350\n25593 26443\n62142 70311\n84235 91022\n53271 58728\n31001 48646\n3769 64175\n66126 86141\n18763 21793\n30604 37064\n4743 24050\n51120 81613\n30696 73607\n4498 59643\n13923 85332\n7152 80725\n11135 71279\n33938 97624\n30863 67158\n20831 38060\n27644 70224\n49331 70969\n12121 50699\n16805 24345\n64957 95786\n94201 98233\n37312 91402\n36341 74553\n37586 69521\n19323 82190\n74 58332\n1032 97031\n54850 92049\n46683 95754\n26473 59303\n17645 23844\n53162 78065\n11851 33782\n3880 7861\n17772 17779\n28544 86399\n882 25883\n6954 88595\n38851 50469\n38752 60599\n30618 48533\n36347 55855\n18576 63332\n22075 65365\n7344 30276\n23763 34892\n3733 97989\n65775 69859\n37510 85339\n11469 12589\n2187 72945\n56508 72611\n316 47225\n64236 73414\n27681 52936\n34747 96437\n4120 30438\n4695 40055\n45453 50643\n75026 96552\n72822 75787\n46005 55811\n39251 65861\n30036 38714\n4866 97051\n56427 82886\n4518 8709\n1115 31835\n80739 93279\n18005 54374\n33318 61394\n6929 67855\n51217 87215\n55005 69948\n63695 85280\n11219 90330\n16438 25436\n50795 84707\n4698 88637\n52783 62119\n2227 36740\n27699 88036\n4626 87258\n73632 93633\n91742 92033\n78364 81103\n23217 30334\n33270 48219\n965 98831\n7884 8949\n41107 80801\n48931 60501\n28583 58750\n6405 90251\n51825 69443\n59944 74418\n65757 75981\n33051 87033\n31845 38305\n10892 74244\n59963 60199\n27265 56144\n15662 34989\n12830 16040\n28308 49832\n41308 81985\n28519 55756\n28851 31477\n21157 95880\n24628 93990\n9046 43365\n54136 90980\n33173 44356\n67931 91416\n46970 53176\n31377 40045\n40897 82114\n46061 79172\n80486 88879\n33035 74700\n9881 34073\n5037 66422\n21025 84581\n59381 69368\n13535 91883\n8893 42319\n45760 82334\n28052 74019\n29767 59727\n11056 58687\n39090 66478\n1127 38820\n30913 53591\n34875 68187\n78935 81510\n49194 71049\n60013 61360\n41975 95960\n50766 91340\n27022 52034\n3385 64365\n9061 87572\n40549 61045\n5503 77911\n37077 54068\n54947 74630\n79432 85757\n76718 85529\n40225 87310\n35584 78332\n16433 21133\n77776 88090\n20721 64667\n2468 47433\n25992 89026\n64378 81465\n69097 78631\n7567 98729\n87062 98809\n43545 48019\n34417 54265\n1259 35305\n41723 96499\n4590 14490\n12641 93113\n7379 69354\n40990 92706\n37064 73939\n16722 87172\n378 91653\n36019 49824\n13792 96302\n9118 50029\n16072 17898\n48102 53662\n9437 45497\n27033 88857\n7639 62883\n29055 39806\n20551 82141\n11547 98307\n78525 92289\n33575 72672\n31029 98858\n39307 71894\n13517 18783\n15491 33120\n51032 84267\n8688 85823\n36621 85720\n35884 81975\n8577 46143\n1666 68262\n34358 58287\n9852 12446\n18923 28944\n27259 58399\n57155 95542\n50398 51023\n16643 59688\n3311 43554\n10025 66463\n49222 62085\n17368 52657\n21980 66922\n13670 96106\n50275 76323\n2099 80783\n39831 64333\n2168 31607\n11231 46762\n20492 28090\n36391 81255\n33736 64249\n13656 96076\n25675 29029\n18242 55366\n24631 29119\n88879 92872\n32355 37329\n64176 73696\n30541 30573\n49480 97042\n31332 93890\n59404 77681\n28591 81858\n24819 89418\n29543 97529\n70439 92282\n17950 40827\n29320 79205\n39085 53772\n1870 76648\n3113 28997\n23271 59600\n43877 95955\n1724 98268\n19116 57130\n9610 81118\n41370 99179\n3790 65638\n31224 37249\n22848 58201\n55113 67917\n75293 77825\n7964 42674\n20282 82557\n25188 73929\n66804 69823\n25138 32007\n24989 51028\n54097 94485\n82665 84029\n38730 74838\n93676 95691\n22290 78865\n77689 92464\n44772 61765\n10074 87408\n48232 98164\n11992 16290\n20496 68645\n23922 93398\n7738 10104\n7637 68443\n65405 67279\n34209 80408\n9336 63752\n8554 79751\n1912 92695\n50712 60403\n7191 67747\n56320 73917\n63985 82350\n49262 87894\n15660 61342\n37386 86014\n80885 91490\n301 86340\n39638 50756\n66032 80753\n23250 51535\n40936 65551\n95533 96991\n32589 65067\n30645 45698\n7000 76856\n40872 41080\n7373 61365\n60059 62052\n24634 62975\n58009 68298\n16423 58492\n20664 72384\n19865 65871\n13830 46422\n39010 54704\n62123 73441\n29009 49947\n21648 70560\n26656 88777\n8183 85498\n60397 86608\n10073 18381\n37229 88809\n3021 95964\n50856 91274\n55031 72753\n541 97963\n44847 72429\n71837 77076\n5957 15200\n8199 98070\n39800 44919\n42284 81380\n88131 94677\n4481 8397\n24997 82918\n2004 75258\n29592 60628\n22147 41602\n6784 24395\n82306 97131\n43767 67439\n36997 51572\n14463 47891\n50881 91210\n60060 66911\n10032 22634\n28590 37671\n58321 92840\n14938 34733\n19797 56407\n8014 81794\n29556 58819\n58343 81541\n21411 55690\n24962 27104\n20609 54604\n5759 54487\n54314 65953\n3936 67096\n48368 65563\n67807 83363\n11671 58321\n42605 52122\n38764 44293\n41382 55111\n31990 99002\n45962 90338\n20443 84482\n2808 15092\n17897 78376\n56974 77376\n40969 44020\n887 51771\n21179 45593\n25610 77631\n47269 98966\n72210 90636\n22379 97033\n34845 39173\n25632 59762\n6628 98039\n9996 61895\n8202 15971\n86205 89105\n57342 64912\n21050 30485\n5463 28510\n35123 83015\n33248 72875\n53085 70907\n14341 48054\n35672 96455\n63188 97221\n57082 74296\n9929 32731\n36777 67268\n35184 72075\n12745 65883\n62730 76883\n3498 71468\n62158 89913\n65097 68380\n45470 57344\n35419 56064\n4757 74770\n45080 49027\n48772 82294\n4148 15905\n1289 32153\n440 72660\n37584 49526\n27271 56271\n54320 91075\n16295 21811\n12576 28025\n42096 92876\n14819 16355\n18571 98598\n60960 71701\n30941 97307\n24128 57793\n39023 48931\n7957 92435\n24886 40221\n74810 97617\n33839 64892\n40017 54751\n17966 55936\n22152 93278\n62525 92322\n9302 59391\n14624 52938\n58173 96304\n29994 83123\n27995 91380\n38961 74773\n94377 98706\n34096 35399\n44228 69261\n23487 68311\n15053 67047\n5620 52838\n18116 36800\n37721 67085\n54580 79753\n47270 48501\n15980 98768\n48791 91673\n78271 82521\n25551 86012\n29852 95668\n33069 74403\n39095 79448\n32643 86763\n56320 66410\n2131 67487\n19979 66569\n17925 24727\n50546 57468\n6357 34405\n29757 81160\n11650 71317\n83812 85960\n54602 64526\n40801 74068\n61597 90711\n1068 32530\n7337 78616\n14156 50055\n11547 62175\n19244 21311\n41015 92270\n70928 77386\n86456 92549\n56752 78606\n61180 72203\n61758 98213\n10935 52081\n19067 30066\n47511 68583\n60059 68862\n26462 48854\n49697 70873\n33868 80628\n23412 85341\n62434 87330\n16569 55945\n32154 72764\n30117 89035\n2237 37829\n87650 91983\n4836 46379\n49745 89390\n5976 76336\n45695 79185\n12168 90497\n7201 41587\n5009 18027\n38534 85626\n55850 65183\n4702 70404\n30 29850\n97131 97257\n66039 94192\n11914 49127\n53611 87478\n42970 82255\n32523 62726\n50826 88017\n38164 57380\n36046 79098\n26235 39568\n17816 36784\n31994 92788\n20778 55842\n17981 95733\n41903 74961\n41982 66598\n33864 77327\n2666 32869\n49430 50627\n47570 52003\n42600 71825\n42196 85929\n53777 76749\n19467 99272\n38398 73205\n48389 58533\n53207 99917\n44 33630\n13001 68960\n35681 56468\n11056 63874\n32726 78507\n20323 55478\n32469 40027\n47891 99123\n71709 86645\n29641 58875\n27731 82384\n13568 52760\n40875 89357\n56742 74274\n47701 71474\n95352 97452\n25380 83625\n18242 78231\n49907 72136\n50468 61804\n58570 63885\n41013 56662\n14651 55606\n25377 91181\n30424 46384\n19867 98223\n47501 81580\n45214 56164\n30917 99959\n62916 77336\n24381 69058\n61560 90828\n31286 81128\n24634 25848\n80307 91785\n90352 90736\n37102 79517\n19979 50191\n42407 74465\n30628 78566\n47580 95766\n23230 57035\n71040 86318\n17486 89936\n37944 49867\n9960 89573\n14580 61086\n58155 62063\n36852 74520\n25455 66374\n49777 50696\n43840 80201\n55498 87449\n14513 97918\n20875 53130\n10181 83942\n13889 54983\n63845 90018\n23974 61781\n6324 9336\n17795 83855\n20343 62532\n41528 55522\n30807 47885\n15772 30340\n61354 63292\n28571 96449\n4974 32196\n35410 51225\n44020 89516\n60722 84538\n66820 82534\n44386 69695\n94293 96869\n5598 12898\n32377 38129\n10918 54785\n7447 20745\n8672 82384\n6687 68517\n8939 97563\n26046 60343\n14508 42145\n10971 38366\n47028 67760\n2374 90424\n11571 43485\n42416 64766\n72925 97884\n41849 54960\n3323 33730\n15364 15959\n528 9815\n32685 71796\n28155 50919\n17655 66196\n48459 92716\n56777 66645\n3596 12904\n47978 91990\n15194 74429\n42516 62221\n44450 71418\n57568 87393\n19401 98457\n851 79372\n18734 85904\n47620 71556\n15588 64257\n1451 69760\n34751 66279\n4506 21069\n9990 39249\n44150 80093\n45266 73587\n86947 91897\n16817 50468\n1227 62442\n51648 91797\n20524 55414\n53115 75612\n63315 84856\n52800 68373\n47682 65220\n31973 46599\n92942 93748\n36548 70306\n11402 47669\n18014 36050\n3686 96836\n9688 45795\n75566 93520\n6924 45006\n1134 49644\n16651 38958\n31849 83980\n31096 86985\n57232 73871\n21996 36671\n4813 92827\n49069 89031\n79757 91739\n2220 60088\n16178 97002\n27151 63975\n21131 35536\n1025 73400\n22929 93299\n76650 83919\n27630 85668\n45717 45949\n35818 99787\n30005 69476\n77373 77998\n41478 93741\n16084 92434\n35329 89957\n55376 90126\n63016 78305\n29004 88118\n26454 31233\n47159 90802\n17566 49073\n27610 94838\n45635 55739\n23976 89356\n20924 63802\n37243 59677\n24508 99730\n1381 27263\n68998 69266\n34025 48085\n10615 26478\n5501 12853\n51175 87531\n16626 67335\n18921 97175\n16295 24221\n33054 50722\n18117 24212\n59510 91340\n85744 90900\n54210 66321\n20174 69672\n1102 62413\n51502 65883\n77706 85583\n22403 75188\n45212 87293\n50988 93174\n5670 69112\n36067 83456\n46240 49919\n29409 59544\n36549 70099\n54194 85214\n11660 70665\n14174 18005\n42528 75235\n23669 51401\n3434 40600\n58706 93023\n49511 84149\n4862 33938\n16485 39810\n84725 93916\n34153 34478\n77962 99591\n54669 66316\n383 59534\n68315 75742\n20935 81267\n63802 95646\n7004 93853\n11098 35586\n30307 71693\n48536 84430\n59019 73146\n27917 71731\n16950 96762\n85436 94148\n46256 83872\n47608 71057\n78536 79558\n41934 43563\n4941 37270\n92130 93977\n4104 5573\n28625 79849\n32430 38357\n53648 97552\n34333 37589\n2519 17576\n51336 60332\n24449 75088\n63898 91471\n30942 59497\n53189 69605\n68941 68976\n2648 28377\n3687 21586\n14832 75264\n291 52894\n46251 64440\n7194 64195\n17445 23972\n6590 72694\n22318 50732\n7013 97367\n23969 52478\n24444 54051\n64445 85941\n40841 47810\n17056 74650\n4644 60781\n10647 43683\n11539 40869\n3445 73231\n16737 85177\n67917 73064\n27912 49517\n58390 85613\n40784 71043\n3090 6096\n82109 96714\n22441 50173\n27276 51990\n49502 60671\n22695 92950\n13044 66735\n40463 67498\n63663 71537\n33773 52420\n60122 73487\n23555 63120\n61206 64672\n57607 71693\n21799 34340\n39429 97017\n34239 74781\n14563 92312\n3784 87327\n31207 94242\n992 53971\n34557 51445\n55549 79732\n82691 83042\n3441 55125\n1478 37964\n53317 87632\n8881 86607\n35760 91683\n39968 82177\n62165 89923\n4810 61130\n24987 49171\n62755 88869\n30989 82154\n68267 89433\n9927 74389\n17518 40838\n12077 90782\n36900 78682\n27264 47101\n33376 41225\n82112 83522\n30616 79884\n9100 62024\n9705 97869\n4042 42249\n1450 81640\n82315 85415\n73630 74660\n25277 89445\n55634 78605\n49512 77271\n16613 86078\n34599 38499\n48288 94426\n46528 69560\n49252 70111\n37841 59494\n24158 83657\n74696 85078\n46352 78177\n17240 50716\n36829 80143\n19082 26647\n29494 76267\n63758 65190\n4703 82348\n27232 41988\n68582 83064\n60831 99934\n8289 76269\n30310 69241\n29168 93241\n24090 49240\n67580 90197\n53050 63059\n64753 92140\n20117 31134\n18191 39711\n28867 60196\n78695 95017\n68138 82337\n31135 59623\n46195 75612\n20277 99169\n32351 80121\n55028 97677\n23108 90618\n8702 55780\n50095 80820\n41471 41562\n9422 78396\n76578 79754\n51040 88865\n43960 82158\n13027 73616\n42237 78025\n7810 82920\n25807 60917\n12526 57117\n33107 63407\n5782 29195\n4988 97417\n21894 77472\n11577 84380\n32981 38429\n1858 45453\n52889 58081\n41921 84982\n63875 63989\n31242 40414\n18798 76390\n59251 82394\n31565 51409\n14054 68590\n36901 51180\n70452 97061\n21906 53476\n88690 97264\n13854 42706\n21050 31737\n4700 49722\n72395 77094\n9992 96866\n41347 68580\n72218 97734\n24120 35855\n15516 26758\n45283 75901\n2528 43000\n54426 68400\n70503 79310\n96797 99715\n77896 88097\n26805 77663\n9374 27090\n16405 61907\n50244 84408\n31139 36249\n41639 90972\n6808 36925\n6839 93080\n57530 81620\n9447 75524\n57570 84721\n59945 84577\n7201 47704\n75820 86928\n5538 80071\n85448 97324\n1630 6750\n17140 23917\n10821 83447\n22219 40557\n3145 97102\n58799 88040\n38533 69502\n4523 29967\n11603 65277\n1421 16869\n78900 99936\n3792 4938\n26865 28550\n4613 27306\n69098 79320\n80961 94614\n55150 70961\n51769 95606\n17224 38566\n32330 43113\n36676 51164\n47200 84747\n8949 65036\n4601 9022\n1194 15080\n11459 32689\n16602 39092\n1997 85374\n11132 21574\n45207 99110\n60042 79480\n42909 78699\n33629 88874\n64573 99464\n43901 65012\n59481 70484\n83993 86008\n20891 67618\n20792 38017\n38908 48552\n50239 62700\n29476 54495\n56687 75988\n36597 60761\n37544 59545\n37464 93204\n74557 89238\n29687 81071\n5955 39164\n54502 79319\n51202 76666\n17152 71416\n66037 94569\n50479 94307\n32555 68034\n26416 61339\n49350 76864\n19321 85237\n20568 90103\n48279 55404\n24573 27200\n51259 71288\n1755 14925\n16480 63179\n19150 55724\n26518 53229\n26350 74449\n991 20685\n76544 81283\n11823 35628\n27051 60465\n4129 78354\n41857 47578\n21661 27573\n2441 33087\n40935 66487\n56669 57386\n63344 75500\n40853 63791\n66015 73377\n18457 49006\n36683 49684\n19768 55196\n17431 68676\n2220 71242\n27803 62318\n15078 31250\n19637 70591\n40627 41574\n14120 85191\n35960 87037\n28454 32563\n48384 53720\n21870 62902\n28178 37285\n8815 57849\n15485 56944\n41355 69773\n3229 81707\n74590 75737\n38902 50205\n32127 60885\n64903 77435\n75295 83105\n38022 63870\n75120 81199\n10198 37991\n25707 48207\n35356 51623\n4170 40402\n46858 93077\n52845 95694\n82079 89538\n45003 87483\n34408 80687\n1545 34034\n7933 99272\n33342 66886\n55139 84040\n14240 80549\n1109 37822\n31191 93391\n30529 51293\n46940 95616\n39782 48843\n48371 72450\n12860 32292\n10991 78921\n16171 29690\n23564 31250\n77932 94163\n5450 42692\n34663 46005\n21304 47200\n22203 94363\n47751 87232\n83685 93348\n16956 74670\n58195 91527\n45606 61112\n16061 34915\n42483 93622\n57243 80926\n8504 92181\n30474 50776\n30990 92235\n13612 68558\n49343 58461\n7512 64190\n16684 90758\n29038 44426\n41043 63855\n23218 79496\n50310 79973\n2993 33671\n17373 19027\n67837 76406\n12996 33404\n47370 63015\n27625 71861\n41388 80111\n27935 62318\n27222 77162\n33983 54942\n78080 96736\n43289 64544\n64978 97264\n63663 71652\n50818 63610\n15429 97663\n50486 68954\n41797 55254\n28094 90396\n9077 53236\n3088 32995\n60019 77794\n7285 58747\n6645 99396\n63063 82633\n31936 88391\n33641 95449\n57483 95363\n81142 86349\n28191 58453\n89997 94742\n32825 98030\n80315 83123\n63785 84471\n25019 90032\n16220 42676\n23931 60196\n54335 70507\n8166 88839\n24456 53035\n46531 59886\n50170 92744\n45604 70338\n45726 60376\n49801 57607\n24836 89445\n10991 81825\n52553 64604\n15069 28893\n21449 25442\n58004 59278\n47514 89641\n71744 82551\n34853 75964\n8172 31879\n42470 70228\n57605 58133\n18956 86091\n20492 38718\n5361 69627\n40365 99585\n28976 47030\n37133 44516\n50402 98710\n23805 63134\n10542 15801\n19554 96053\n8030 52615\n67134 94283\n27357 96898\n8730 82082\n5543 90439\n30655 59463\n69657 79867\n69650 73780\n39147 94299\n17485 69353\n12639 14653\n57190 65331\n26108 80097\n42555 46709\n62814 93869\n53742 80008\n57780 90904\n554 96045\n5819 57958\n63027 77505\n2742 32757\n28868 32276\n56154 97893\n30401 52899\n13909 66793\n55990 67315\n61337 74620\n16761 37657\n18204 25279\n40777 57456\n29938 89078\n34012 89711\n18519 83186\n25559 83816\n71928 90275\n8291 98089\n9632 11722\n2974 73384\n63090 99847\n35416 96633\n71371 97803\n80568 97511\n10367 79892\n40639 59427\n23641 66928\n10200 98860\n46119 54065\n52073 74550\n32589 60355\n46260 89650\n56751 65993\n84578 98907\n10061 99283\n32052 77437\n55967 84216\n81881 88552\n4237 17348\n70277 89836\n11724 79357\n11388 16063\n25371 25553\n51001 86971\n26583 76634\n30568 60290\n22455 87200\n17716 53484\n14607 24280\n12541 94958\n33036 80956\n65632 87525\n5070 7382\n40074 66248\n10156 86353\n46177 57215\n56456 95341\n30347 77636\n25545 76273\n64610 68213\n24004 28502\n40390 61572\n54524 64648\n15466 57608\n26690 61974\n3636 51729\n54130 86995\n4537 66417\n1817 84611\n45995 67744\n3721 90647\n25847 63135\n2033 90287\n18398 54768\n89094 90575\n63172 80092\n34879 93037\n34923 78183\n20212 95810\n6953 56472\n47660 81642\n5660 55801\n7087 37072\n27553 40729\n27208 39468\n11697 19118\n2845 16464\n90811 92839\n9504 97036\n25813 42984\n91382 95876\n8282 70671\n63905 79611\n44272 87184\n29878 42456\n23646 60939\n9054 82194\n163 23229\n33101 93848\n15551 97912\n2899 59852\n54317 64601\n50502 82067\n39865 60090\n89949 96005\n44972 95291\n52672 98370\n23134 44987\n46355 90682\n29973 97690\n60087 77580\n45910 53813\n34624 98805\n44197 84715\n47420 82623\n36465 49498\n46418 89300\n69320 72622\n24379 47385\n25600 80761\n11778 80826\n22232 39371\n50995 70930\n18641 33121\n1489 44051\n73191 93346\n83970 98841\n21309 66629\n56179 89869\n61748 88741\n35734 78946\n9502 17523\n5380 57838\n34032 60948\n6326 14033\n85217 90802\n45119 57363\n1327 84480\n13350 58830\n19929 80594\n23949 68748\n36534 43224\n86650 96229\n57335 68438\n63613 79812\n2445 85068\n12894 26178\n88021 92320\n19348 31681\n36015 70869\n37741 96899\n1634 26497\n46487 58844\n6001 42019\n31547 79810\n31436 95153\n12157 85919\n68938 69537\n65655 77816\n13424 22393\n27992 47846\n35468 93389\n33830 53152\n7527 35702\n11861 37262\n15661 36570\n32534 45265\n14991 54391\n35362 45619\n40105 46015\n3415 73668\n84133 92920\n2304 16689\n32274 44404\n7895 90921\n61419 70265\n70164 70319\n5467 84300\n14736 93765\n75401 84330\n2619 49056\n74855 84662\n51068 98236\n56069 76376\n29393 89831\n39 3110\n22597 62850\n12091 83589\n97971 98257\n13484 39224\n6846 52962\n27578 64031\n20205 64900\n14769 58534\n10021 50029\n85762 87996\n23917 97146\n867 37284\n6621 62358\n33504 69066\n31729 54837\n14843 51114\n39319 80430\n14874 79119\n1104 28511\n6315 51024\n72718 73687\n33581 51706\n17738 32120\n9891 79552\n5829 26982\n2656 70863\n16778 89833\n50151 66921\n27094 89839\n9520 50296\n17350 23505\n18595 61412\n1506 30056\n5298 45551\n15440 54546\n1807 68477\n13188 17294\n25315 96736\n77108 92676\n21521 77688\n5137 88179\n53709 95702\n41631 87563\n56542 67609\n13190 60103\n45130 75072\n5963 10320\n7169 24854\n3814 67100\n40706 71896\n29809 70504\n17816 18937\n47924 55806\n10818 11099\n71254 79064\n70403 78409\n77530 99298\n91219 96262\n49202 54575\n32560 68841\n44283 75463\n75039 89403\n12578 43186\n64657 66172\n18654 19987\n3694 84295\n33870 76230\n64297 86212\n16436 21032\n28181 40653\n2887 31253\n3383 82290\n26345 29040\n599 18845\n39678 88453\n5657 84322\n71279 78751\n3957 46539\n41317 66210\n24937 55444\n42342 91665\n27466 56274\n8586 85111\n13338 56771\n34374 63331\n60573 63562\n14536 64422\n23764 76398\n2133 74176\n40774 83986\n14259 84963\n33516 62582\n24170 62445\n47749 61084\n45575 68194\n65718 92578\n44475 79544\n54029 56097\n28959 95615\n2344 68110\n1573 56783\n28810 65954\n38813 38912\n42273 95641\n49846 64511\n43356 99411\n12353 92798\n43032 91995\n19843 19998\n4408 78216\n43584 81332\n69532 85853\n63389 74016\n27226 84574\n68700 94894\n25340 44860\n10547 64973\n5551 7580\n2770 47136\n39839 50044\n56392 96231\n7484 74805\n22771 88712\n1500 20070\n34493 85225\n65415 97613\n5552 36686\n72013 91668\n39277 77176\n7814 74586\n30125 60950\n13975 67141\n78548 96404\n71782 87558\n20289 54329\n41880 77285\n19451 40525\n17667 98536\n28430 97741\n4186 42887\n26582 30817\n47519 60757\n6616 50334\n34843 95530\n63064 88911\n64772 88540\n5926 82696\n13926 58665\n34791 92417\n70677 74368\n67461 82780\n18239 23842\n54185 74404\n13399 34048\n54508 60970\n3968 27198\n72132 77319\n51503 89548\n40446 92705\n68812 99622\n61470 78710\n39106 48781\n43172 44248\n8566 9695\n2372 32244\n8060 10255\n20786 87237\n66870 67890\n61144 72641\n32351 36773\n1776 55355\n72109 97692\n10385 77076\n74377 99193\n43121 53987\n37150 39475\n63018 99379\n8796 33583\n46594 48940\n30373 57317\n44202 76688\n33644 75361\n16264 94188\n9526 71112\n24653 81262\n52064 99273\n24395 99862\n21492 66705\n42258 93937\n47862 77283\n5333 79490\n44910 86198\n748 23849\n86712 87463\n61579 97761\n67281 80271\n40373 97656\n17508 99908\n24401 68226\n49883 89950\n48177 51148\n35331 83735\n83 85160\n4386 59309\n47245 54562\n48136 67199\n46123 66330\n3388 27004\n63862 88268\n48561 71977\n32470 87957\n19683 48424\n25412 78298\n15354 29601\n29324 30656\n4832 82200\n23613 44542\n7277 95282\n16982 65113\n37578 73326\n15601 33360\n54575 58119\n1402 52438\n63070 89547\n16554 45893\n23752 86447\n76572 91962\n3632 38034\n19762 98536\n36556 46789\n28018 87928\n46813 77371\n52696 96605\n15712 32235\n1872 98986\n34596 68789\n4791 18903\n31072 46053\n15358 52749\n13595 80698\n25656 61511\n43889 46085\n41796 72529\n8429 21470\n31516 33591\n6149 60185\n23216 42312\n43433 54184\n82342 83116\n16304 49923\n12120 54738\n67255 97312\n33792 38863\n10894 56723\n26408 48698\n49015 94852\n1459 24486\n51029 90267\n8072 73896\n7722 23193\n15230 38192\n19936 67309\n61000 92672\n31366 54611\n42707 66958\n28951 93700\n51559 85580\n49764 97023\n25198 86263\n23047 91028\n42187 47138\n52079 59094\n14040 42064\n54410 67063\n45645 88016\n16913 27748\n57615 99335\n22412 95103\n6457 15051\n57112 64519\n55813 83496\n38324 46236\n56719 86818\n363 14571\n29027 48780\n27019 33050\n50058 70852\n88741 91869\n18053 94054\n52567 78098\n4999 97961\n4699 75707\n10934 15134\n18080 76872\n26011 43606\n57223 93099\n4316 28953\n41774 84918\n73088 77399\n17697 91355\n65904 84749\n9096 14856\n55279 75332\n5070 92673\n32664 78691\n65229 81543\n54104 61755\n15204 74022\n21143 62706\n49248 66466\n12994 41189\n68931 78458\n2316 90269\n2677 74704\n41448 78183\n2863 47977\n10844 86742\n47606 61102\n13968 15049\n48113 61470\n13534 56338\n8906 15124\n39984 79710\n6178 21230\n9859 59894\n23229 70599\n19677 81412\n63632 72145\n60218 77160\n56546 64514\n51988 91109\n5750 73339\n88140 88345\n15048 25653\n10347 89609\n45920 79376\n38446 99101\n1665 27068\n52427 63556\n25253 72455\n12067 70452\n79803 83077\n55259 90858\n7061 44250\n11170 22842\n4132 18063\n72060 80654\n9678 37548\n20100 48120\n69295 99373\n30031 80717\n24169 62532\n2558 21690\n42024 77350\n15126 29912\n12559 22473\n34510 88692\n89136 91479\n44521 91807\n46420 59191\n66 88760\n15185 31662\n9429 57693\n79139 94679\n55500 90216\n52469 54763\n59794 61855\n21054 88887\n50757 53191\n56581 64440\n20251 93288\n20602 53111\n56104 99365\n44506 63112\n31996 62312\n47347 74207\n6930 30031\n58584 72603\n68458 72327\n16235 85484\n13869 61916\n54858 60981\n13801 64783\n8352 86658\n70242 96584\n65464 70108\n48463 68671\n43778 71030\n20164 77426\n7906 56062\n29825 55558\n13980 65614\n21575 58928\n1043 27499\n6570 52470\n52521 56092\n1865 60812\n19216 77888\n83357 97387\n1820 39635\n39800 92656\n32859 36598\n67532 93031\n41536 81156\n21684 60597\n29728 37438\n52257 97259\n53573 70990\n1672 71215\n19252 37366\n17567 94467\n65160 78729\n3741 3765\n84054 91355\n25063 71790\n65370 74993\n9032 94760\n49193 93802\n34771 73883\n73529 74536\n16364 52344\n15037 62216\n25660 71903\n46116 65153\n57351 67975\n1245 60479\n35903 76386\n5870 29994\n9629 21388\n1094 8647\n57263 78447\n10782 46909\n36895 68383\n52158 54072\n34165 84288\n8657 51921\n22956 89316\n473 87385\n16306 35317\n52918 64361\n37036 53254\n49937 52415\n20153 38290\n42615 68935\n17440 54191\n34796 46986\n53606 72846\n2646 17301\n27004 99824\n31886 84083\n41743 67466\n22667 58692\n2379 57739\n39172 45806\n63895 70855\n83733 92023\n30635 44041\n40866 93370\n16116 20238\n19591 52998\n69981 72217\n40455 86665\n84028 98155\n34633 76079\n21340 88712\n42811 79534\n40923 42809\n4513 57143\n56470 76315\n1811 11946\n64906 81318\n28086 90352\n9003 15693\n54151 72922\n36674 87986\n184 45718\n62628 81986\n39323 69929\n4245 12959\n45114 97240\n43632 67976\n13438 29272\n13739 27731\n19549 62315\n5926 65867\n53955 91957\n61845 95893\n5621 32375\n7799 45185\n37258 42812\n18386 19434\n63269 87364\n64851 85159\n8336 93473\n6644 23003\n24186 54024\n20198 44070\n52359 79798\n137 60576\n73461 93614\n4731 77368\n8926 59475\n5517 97295\n4648 22754\n7561 62932\n68676 80671\n6371 64059\n72513 74113\n2746 93998\n60542 64488\n33081 36000\n56119 72044\n2950 46116\n19568 63650\n16888 32914\n60677 67755\n16178 68319\n21032 46336\n3131 65595\n78923 87825\n50579 80016\n3017 4504\n1455 28811\n50649 74238\n12735 92590\n49881 51220\n6608 92929\n66276 86554\n28051 93493\n15507 74000\n11317 14962\n33648 79043\n45129 60156\n11589 50497\n19235 22906\n67266 95596\n24321 40093\n19881 32284\n3865 35445\n50881 86346\n44103 94707\n6446 72060\n20092 38181\n37080 60052\n12679 17011\n25465 50894\n50646 72670\n24304 65950\n48275 63071\n8335 97279\n24234 55564\n30974 82788\n52995 96340\n61832 66433\n55974 91278\n22913 81210\n10498 92602\n8192 94948\n7933 31237\n92692 94862\n51841 88263\n28908 80248\n23798 67989\n63800 97433\n40228 56217\n22807 80796\n7378 69204\n73659 75181\n65081 99718\n11144 47498\n73426 80794\n18745 55616\n41195 58819\n69076 94188\n35696 57275\n50405 72337\n31062 79149\n26617 63084\n23338 86989\n14662 20771\n60604 92590\n45224 95020\n62651 72585\n14990 65354\n13045 13621\n23575 60852\n59980 70646\n21920 49777\n14506 80791\n812 77923\n55768 93464\n43084 79944\n10924 15383\n32340 80163\n16502 43226\n3245 42649\n17520 92450\n23328 84071\n39934 79309\n43530 74003\n57979 68406\n31466 65563\n45895 58948\n34499 98898\n23791 92806\n4246 15332\n46097 46951\n30078 55511\n8954 58363\n37661 70554\n21145 81884\n32206 64279\n53523 88244\n33149 95514\n4264 93391\n16255 83031\n53901 60105\n15374 81169\n18055 23103\n19965 54436\n55234 70128\n36125 85508\n12030 90944\n29721 41538\n27931 72091\n104 22430\n66526 80818\n21393 60007\n49790 73781\n47248 87921\n69923 78798\n89032 90382\n13406 66129\n19708 68796\n45685 94882\n83590 84798\n67435 82978\n8269 98726\n76541 83352\n77694 96081\n25611 51017\n31936 63889\n7559 19774\n69192 85237\n40342 94339\n754 75819\n39020 86418\n20250 25931\n29853 96750\n64845 87750\n15070 94688\n35359 62315\n64205 72617\n6869 20337\n44444 59923\n10514 54864\n58255 78413\n70083 73788\n51400 65540\n13694 99080\n13276 75858\n68964 70441\n22302 42661\n25030 62559\n21160 66151\n11017 26198\n6266 60564\n17530 31963\n52398 80706\n64801 97498\n26941 88049\n69772 94792\n2954 70684\n7275 42453\n51665 62247\n43093 74939\n62190 78523\n79923 90658\n4827 62557\n43506 71600\n39921 68713\n30528 81545\n64107 82722\n4576 81238\n14260 42572\n44958 71902\n23839 53493\n79771 95611\n68566 96038\n26419 56306\n79458 80038\n25671 74852\n81705 84597\n49095 56828\n26997 53476\n76200 89959\n47528 61249\n42897 43998\n6626 71724\n91663 97003\n10579 95805\n35482 36442\n12611 44020\n15506 85438\n2285 9794\n19202 30935\n20223 69466\n20237 71041\n63012 91205\n17725 20152\n23358 60087\n53951 58689\n31789 74887\n57772 81738\n22107 50279\n2389 72192\n17236 86542\n2287 57765\n41129 79183\n22190 63659\n6036 54777\n76319 92280\n795 42411\n64279 86734\n30666 95787\n5889 88279\n41938 91826\n42385 84641\n21258 80004\n4378 77766\n8130 72583\n14213 41307\n9680 22199\n48466 85207\n33607 74211\n28700 72701\n19234 33446\n53242 87067\n37221 76054\n8050 9190\n51743 87458\n7477 22307\n7811 33137\n5202 42442\n17594 40879\n31029 31137\n68694 81151\n13566 64951\n66807 75986\n1831 61126\n30699 41437\n57999 73228\n74112 78959\n1990 23968\n72171 77296\n1603 17112\n4717 10276\n19027 84131\n16164 79791\n75880 80744\n20868 93818\n34256 78452\n97898 98290\n3725 7126\n23793 84239\n38005 89415\n75544 82598\n27774 85012\n30540 34410\n4332 72919\n13797 76521\n48444 90939\n97694 99707\n2027 3007\n28884 99584\n33945 97682\n21142 99274\n46442 51141\n40031 42475\n14251 76261\n3938 38922\n89738 90372\n10337 65656\n25268 39236\n33077 85501\n11318 87970\n41758 57002\n14508 45912\n26715 86655\n23645 97168\n28536 83165\n58805 84633\n14063 80572\n32042 71717\n33564 87140\n32037 43664\n3732 33760\n36340 91928\n11080 99156\n54054 77268\n41779 85857\n60994 62386\n13076 51823\n21455 59746\n30705 67220\n25107 73708\n35489 79974\n74109 88850\n16612 70900\n85408 86972\n38133 64047\n63920 95103\n37485 46043\n35224 99502\n43708 77707\n49068 53211\n45228 63165\n1332 94147\n13275 26759\n26417 54258\n10247 56195\n1832 42470\n49854 70818\n11575 12852\n84305 84368\n30492 79138\n2673 23412\n21503 37719\n55368 84410\n39283 51361\n44983 83049\n30352 61630\n61887 79243\n87569 91850\n40536 93737\n41981 71124\n17958 18403\n33819 73528\n20435 99077\n43962 80013\n1755 24920\n25974 76010\n69376 83475\n8151 56217\n21411 50643\n42423 78813\n18781 87908\n4992 31707\n58649 63315\n55588 90394\n24800 43586\n8966 39096\n64396 96587\n4751 8372\n1287 40609\n59666 65345\n26985 69433\n62176 97682\n55667 73543\n70721 75450\n30780 76301\n66406 89281\n46135 77198\n5187 56765\n56088 74419\n11663 87721\n36955 63527\n46263 69832\n89216 91813\n92036 96554\n25342 55747\n43170 58134\n6977 94571\n3659 44970\n22733 31679\n53068 74744\n28219 80824\n9629 39362\n46661 73031\n36216 97839\n58902 70483\n31703 34660\n19103 56408\n29422 66613\n15958 74048\n24473 65731\n77853 78327\n49578 83110\n82298 93258\n8087 42933\n77826 93826\n34212 74977\n25666 77637\n30533 40790\n50818 57648\n22165 43581\n33230 81201\n9948 38269\n14159 40311\n36695 73686\n9191 11793\n42940 89064\n47192 60880\n1790 37738\n75950 99311\n47592 63805\n3114 45697\n41394 63906\n9423 37796\n2261 9210\n44788 54890\n3475 86947\n6809 94177\n16368 50695\n530 68921\n762 5220\n47191 73366\n47585 60353\n1135 24013\n31536 42372\n36827 67063\n12221 68994\n69300 75314\n77 39055\n9631 12115\n73703 77706\n15329 90371\n28327 93492\n2615 20137\n13516 30595\n38272 40636\n20771 46929\n81018 85997\n5376 80939\n14393 73398\n37247 63257\n2932 9488\n74554 88857\n69689 78587\n61896 91495\n14681 35636\n71341 73367\n19956 79365\n37833 59443\n45832 54661\n2239 11107\n9863 64910\n26519 82171\n77489 79084\n40228 86321\n33708 44257\n27824 92041\n7422 44489\n42377 76239\n20526 89888\n56712 82435\n501 19707\n82286 94113\n41736 87420\n20761 54628\n3637 68289\n11485 17353\n36004 74014\n54779 74484\n44093 48034\n5632 42258\n11405 75208\n17350 88688\n54299 59108\n30959 67734\n36756 53069\n14065 95331\n40844 75200\n27704 71016\n59230 87116\n57393 75377\n37788 61697\n16655 97861\n50493 96137\n13809 91931\n12486 37896\n28404 54736\n4911 7779\n6594 46501\n33833 35738\n1747 35415\n14155 89841\n47679 92675\n28746 40468\n16168 45828\n52027 61939\n23447 27057\n15805 43071\n1683 19083\n35862 40696\n16500 66176\n14960 80545\n2741 27195\n55376 87410\n26160 47978\n24080 38713\n23986 32123\n12247 62668\n18072 42305\n10816 21268\n80132 94208\n74851 88080\n6736 46815\n48658 50810\n51318 80726\n84109 95393\n56647 67813\n50242 55070\n69486 77174\n35212 47865\n42912 64247\n15958 72468\n23036 24187\n29454 39796\n21517 52479\n29270 72085\n3135 49874\n2967 92307\n81334 95671\n19956 35100\n84726 99691\n4896 49803\n56581 71186\n17398 56603\n52035 82686\n68484 82657\n42828 99104\n46625 50157\n40066 69690\n11252 80330\n38741 81884\n9632 89398\n3600 56628\n51512 96968\n4199 5814\n21960 94204\n42454 52191\n3750 71111\n25480 96854\n68766 73473\n13109 74903\n4668 49653\n18823 95782\n29493 67486\n30486 40853\n18817 38844\n23470 28767\n9792 89758\n12203 95473\n76346 77570\n33814 74047\n43550 79854\n28836 74434\n49532 71179\n34618 92872\n51304 90970\n25412 92187\n52521 80264\n33937 36340\n45416 77318\n3523 18518\n39655 76708\n41084 75682\n75849 83263\n16574 89413\n84469 94034\n9267 53483\n20789 41403\n66746 98753\n71309 89855\n25108 88009\n31592 91294\n78364 88260\n21271 90562\n34929 52358\n42944 74763\n1906 33703\n31123 85671\n67215 93799\n8320 59612\n83886 85847\n18215 34932\n61560 78021\n1327 51911\n44480 61847\n28538 64755\n42292 60051\n78193 86434\n36252 51640\n30226 41197\n9338 12395\n72128 77477\n36497 75923\n16404 76147\n36179 51184\n3452 14033\n23312 58629\n35535 55017\n17976 92054\n17117 53589\n69434 81281\n82852 94850\n44537 68066\n56996 75578\n65164 90676\n42171 52689\n3760 18993\n74149 79321\n1108 82408\n17310 36631\n40850 73790\n10543 75350\n19322 24945\n19836 73414\n40345 42449\n45287 95246\n22649 49408\n53034 59243\n55691 57723\n13197 39620\n9037 61216\n45641 92328\n86935 99302\n32952 73281\n77099 78487\n9611 34355\n23398 94532\n5233 83196\n14783 29407\n46165 68026\n1374 53134\n50897 88013\n6499 39274\n79377 90635\n61130 85499\n13574 83497\n13309 59375\n49380 80438\n2846 23766\n4187 49847\n49180 90163\n11542 48655\n43168 60554\n44837 93168\n53373 72519\n3477 67871\n27265 75077\n6693 69156\n28152 38060\n32 19636\n46011 55919\n52165 72041\n14858 31127\n8971 31735\n66449 70332\n46049 99225\n41365 76208\n2712 31680\n46503 87297\n291 32800\n35081 93381\n32430 48709\n52109 65338\n46569 81100\n3925 25701\n31833 91771\n20450 57328\n64461 70338\n1431 70468\n19949 35533\n32457 45374\n42331 92011\n15994 61741\n21109 64120\n3273 89749\n49528 95857\n6878 32923\n42621 98801\n12221 28238\n30276 72389\n13691 18517\n1622 3532\n69865 76387\n13152 20955\n36836 91415\n26934 36110\n47538 77134\n43270 82170\n30683 41679\n32062 39459\n15547 35462\n69472 81449\n32103 48814\n23660 88134\n31187 66272\n39674 58503\n46421 98721\n26975 99021\n54682 64462\n21184 92655\n58233 82591\n16882 33997\n27847 51176\n21019 43393\n49521 95488\n21891 64771\n8585 83227\n12396 14747\n12760 39778\n25508 25598\n11969 97978\n22360 81928\n25002 31489\n54872 86489\n64618 87102\n80557 86035\n12332 38364\n47963 94257\n66229 86863\n29198 85090\n57741 64790\n18171 65403\n8384 56529\n13119 77925\n26809 46370\n25218 92360\n57333 75795\n37912 98096\n14945 16142\n10402 57378\n32494 51064\n10504 31492\n36487 41972\n22852 46214\n11428 30474\n13369 45566\n72290 86507\n50736 53991\n14003 70858\n39234 92027\n39414 49241\n8331 39901\n3745 7137\n13628 37771\n50015 96761\n36008 72761\n28150 60984\n4578 87060\n65510 85825\n19647 52269\n31366 82364\n10333 88536\n90001 99376\n47789 84408\n1933 18377\n41104 90407\n12972 46302\n5340 22882\n14218 33171\n38482 67600\n1011 12461\n57463 81676\n38501 56570\n63684 78751\n12615 28643\n17421 87609\n67615 92442\n9758 21229\n64047 86046\n15458 60711\n2284 85601\n33794 79998\n3180 87929\n43747 89111\n25837 43599\n37191 63821\n17247 84529\n5346 88730\n53224 62504\n79116 99153\n18391 86275\n3019 63244\n41995 42683\n12230 75650\n47644 88911\n68127 83073\n47333 64020\n1072 6275\n7226 9012\n4660 59388\n32786 36618\n59692 60462\n15259 22683\n45511 96056\n2019 19080\n289 71670\n33065 73424\n76511 77958\n19976 88398\n39406 57179\n28219 60672\n70174 78626\n20759 87743\n40324 51602\n62628 77462\n5003 76215\n22302 65125\n33863 91043\n83192 99501\n7215 75109\n47864 94135\n71536 95524\n7169 30788\n58653 59320\n163 9221\n24302 70599\n19793 76910\n4141 94333\n59279 67443\n19494 71350\n66703 84993\n90054 90768\n8432 23725\n26476 72220\n36230 71347\n32746 57749\n63453 86888\n8073 12696\n47866 62065\n29618 32583\n9074 73194\n11501 67608\n19684 81418\n30420 78021\n63758 86143\n40938 95457\n71604 85925\n48209 53921\n66859 79476\n29660 62500\n21052 41138\n81279 84848\n39146 92275\n34215 59497\n16237 87488\n14997 87171\n1850 23128\n14846 65371\n13295 40410\n15694 51691\n24109 64120\n45131 55346\n29438 59082\n39538 92012\n29114 76448\n78699 79663\n40705 72627\n26171 26976\n4699 29147\n17626 43811\n62937 68822\n5408 90715\n13511 69694\n19029 23589\n7877 23666\n68191 78212\n81272 90253\n64635 99562\n54569 65122\n45506 95941\n2310 4367\n27993 90309\n10228 12927\n51613 86044\n12723 14729\n13109 41650\n37769 42668\n47990 70555\n35379 37197\n1960 7070\n31397 84457\n7172 63663\n14885 73613\n30828 82193\n66834 95585\n50368 84058\n73051 73927\n1155 88735\n42060 94848\n31963 46242\n32674 44820\n27849 80199\n30184 52019\n15682 73650\n48922 77904\n82473 97968\n51261 77424\n44082 65583\n23031 30633\n27019 66276\n60614 61607\n35208 52023\n28614 45888\n1509 61195\n70453 74280\n292 66541\n38628 87929\n60975 83956\n18952 45829\n59012 69230\n17813 52256\n11139 65860\n24094 69660\n31056 87732\n15668 65303\n57256 79695\n12053 65311\n93 80015\n66265 94555\n19424 81511\n2824 42323\n30209 90650\n29621 75370\n83579 98149\n57745 83442\n63617 96082\n21164 80410\n45345 84782\n88722 93073\n35816 52380\n62200 95606\n3980 12630\n27919 73209\n50162 59920\n6838 75793\n47194 81766\n23942 68222\n10904 92760\n54317 69614\n584 62219\n15131 73082\n10247 30082\n11742 86000\n13162 70628\n18440 92118\n71008 81300\n83862 90884\n82459 94166\n29954 66552\n76584 88581\n78131 82312\n40026 69147\n11262 82031\n25605 90611\n34855 79021\n40483 44947\n29336 71558\n19168 76763\n68259 74524\n15209 56813\n27817 86588\n15318 20585\n8542 90103\n28966 86774\n9816 58563\n37622 60854\n15929 54218\n77445 93435\n5447 43490\n46649 66066\n61062 99274\n14778 26300\n39758 67123\n47524 56077\n9648 70147\n23578 95686\n28895 97278\n52109 99306\n23148 84488\n12156 20728\n7071 68020\n45154 99177\n22424 32355\n52963 63072\n9362 49138\n44128 96346\n26167 53841\n16652 95406\n14500 86149\n31140 81833\n13004 48164\n26790 54202\n37128 65766\n79212 85879\n8974 63181\n11136 14706\n22657 53888\n73561 87204\n63785 65196\n2934 76730\n2038 3506\n17524 91655\n48057 83015\n47390 65956\n26770 56655\n5865 10782\n26157 70395\n29530 98753\n7040 45059\n48133 57700\n5280 48653\n66091 80142\n33434 39920\n5892 36921\n34760 81045\n8809 75703\n9818 88740\n79536 91553\n26794 97065\n1850 81465\n58210 77242\n57949 72169\n43281 61261\n44282 92618\n8752 87382\n41277 66364\n19692 52016\n53453 88170\n59548 88290\n53846 95754\n47026 85178\n13759 29979\n8348 86016\n29446 71149\n46513 56215\n14323 30018\n80847 98764\n43727 92393\n36742 59312\n18647 34653\n21521 42188\n17130 92096\n1289 37888\n4858 93203\n65015 98727\n20521 34179\n31946 75617\n71720 93278\n34703 39192\n61674 97085\n80732 82538\n48597 97886\n10927 87651\n20763 54802\n37586 90941\n80360 93725\n51680 55616\n44236 72406\n31618 91489\n30400 74543\n17432 25694\n53526 83303\n11335 25968\n28213 84514\n51562 74249\n15893 42299\n1630 72686\n33176 83655\n32848 33422\n39432 58524\n64218 68248\n10134 72091\n58908 90990\n76449 90026\n66003 70760\n807 83494\n50277 84472\n25418 89401\n55809 87592\n25423 44554\n41926 46670\n8603 17312\n36189 52639\n55934 78771\n5702 66604\n6443 48890\n71011 89187\n20643 34640\n8044 57621\n36766 43279\n16346 26291\n70070 79281\n64488 85771\n17163 85179\n25272 28326\n11154 12111\n21314 47083\n25892 88569\n13841 40089\n31065 83328\n69681 95407\n32202 33065\n16309 59073\n6118 91206\n24721 30495\n50027 89608\n25390 83581\n27955 49260\n49976 52607\n24830 82390\n1896 88778\n18592 89192\n26642 66767\n22271 83414\n37551 80131\n22917 74704\n12068 96730\n2892 40123\n16643 23305\n447 56728\n63812 87061\n59434 73565\n50030 97059\n27183 77251\n3601 8855\n35859 98184\n7851 13640\n87909 95745\n80480 92649\n8565 13075\n54038 78022\n15268 92750\n39630 72806\n59833 99559\n6110 44928\n446 95826\n41626 57784\n41943 43292\n43354 66891\n31866 70341\n21649 67402\n19675 98252\n48287 65703\n626 6022\n5293 67730\n38360 99675\n43284 63851\n39169 85327\n11817 73783\n6687 44967\n17382 71973\n61155 78408\n32212 65303\n29798 98780\n3325 74190\n63642 67346\n26174 70341\n43311 43984\n57471 86562\n65528 89599\n61588 77896\n17660 60203\n47510 75564\n8811 11731\n77206 83795\n4005 66058\n85978 88084\n5022 11986\n35653 39737\n60671 71331\n23730 47661\n38692 68847\n7222 60742\n25703 82732\n1649 13570\n4682 53077\n36306 42022\n45428 87691\n79442 86130\n57345 97728\n20220 24645\n25589 74938\n3197 59569\n18541 22747\n39304 80277\n4361 72501\n30552 94101\n10469 96648\n61800 66498\n17124 95861\n65912 81881\n13254 22207\n61941 62059\n21347 90362\n35391 72940\n563 20229\n34612 43556\n34908 80950\n46480 77562\n38176 92797\n67395 90385\n39916 86793\n1601 80924\n50179 97038\n14253 62921\n11748 94983\n21873 36979\n6946 14146\n21819 98159\n1071 48481\n11670 71954\n2696 72310\n16127 75898\n24726 33573\n26924 93314\n26393 58945\n59092 81198\n4134 58420\n15232 87581\n64673 92421\n43846 94847\n27669 77922\n31428 97099\n17036 91724\n32942 49868\n6060 17234\n49980 84487\n2674 78408\n30031 34239\n63418 66763\n32659 53351\n75467 77467\n17576 29139\n56957 84766\n17017 77005\n25214 90653\n80963 95444\n8825 99137\n32655 92430\n489 14436\n13867 73790\n50342 62175\n50114 76054\n14793 60616\n23776 38703\n16973 17924\n10230 27786\n23091 63539\n2978 68066\n32919 59026\n12986 21317\n65255 82578\n7423 36237\n5677 62403\n38631 85416\n30229 91144\n57207 97768\n58172 90498\n73972 96803\n22395 28261\n64077 83271\n48793 75329\n25543 54911\n4317 90957\n5009 16665\n29468 50253\n21708 43219\n6702 64781\n35243 76968\n36977 44860\n33568 69746\n24277 47979\n47643 67162\n26237 72869\n40981 52156\n55372 89719\n22983 45554\n39672 89831\n46530 64191\n51696 57017\n42131 84403\n39229 79261\n19517 56889\n52366 99425\n60139 90091\n62575 87188\n33099 81842\n17077 84993\n309 58910\n5327 95453\n65291 90916\n17644 97804\n12407 34125\n20620 70066\n23535 50671\n3762 9974\n3557 95913\n10413 90517\n33280 95378\n46351 64058\n69752 95274\n60911 82898\n26233 69178\n21868 94561\n66033 94132\n22485 67725\n26467 42034\n48191 52565\n25372 74813\n63063 78054\n7597 84224\n38306 88297\n77590 78893\n2585 56486\n11711 51294\n27403 61838\n48945 97470\n22822 92506\n67448 99093\n67492 95174\n75126 87554\n41521 99437\n24672 99603\n30310 48545\n893 87171\n70014 79845\n45878 85946\n979 82544\n23580 66878\n17095 95677\n11182 15199\n882 77595\n80046 84573\n69043 86793\n2112 78870\n16476 83023\n49487 59928\n49978 68640\n28818 53616\n44369 87582\n14377 31129\n44400 89996\n56700 74428\n14847 20333\n24497 32605\n9775 10603\n58066 91843\n3542 83701\n67670 89188\n82358 89869\n44469 81499\n9473 97856\n1252 84117\n10302 40008\n79499 89472\n37991 93019\n31586 85703\n45079 72939\n19349 42058\n12276 85764\n2812 38473\n27659 92220\n37552 89150\n33626 38004\n7543 82506\n78068 84543\n1647 80014\n59741 98087\n8076 77372\n6974 59685\n18775 70775\n5431 31249\n5188 85367\n68061 90645\n56105 79167\n29855 49528\n39582 50266\n28463 44438\n3077 55681\n19220 77199\n3038 39027\n24073 45466\n83617 96949\n68832 98094\n16225 53059\n36152 73892\n68992 79881\n73306 92471\n44307 74601\n5865 41143\n75395 78063\n7788 87992\n46297 59154\n33364 75725\n42549 65733\n1789 98035\n7769 40043\n52953 74140\n11297 20647\n27227 62929\n31738 83684\n39812 92949\n34856 54434\n12958 64293\n45207 46301\n3680 22566\n84928 96592\n5256 36245\n2106 34692\n11384 32241\n32113 51579\n58083 59994\n28558 91986\n72544 75883\n83699 92571\n5120 68068\n37926 52179\n13961 60081\n513 78152\n17653 80932\n40296 56215\n423 53648\n59668 88279\n25256 89981\n5427 63215\n92336 99329\n81518 98666\n3412 36663\n8334 56426\n42519 55956\n69143 89983\n28154 75680\n35425 57041\n9194 32487\n54841 79834\n13418 94276\n16319 31469\n584 21468\n55066 73839\n81176 94403\n709 1366\n4888 19811\n8711 85659\n15513 85777\n633 64783\n42323 82239\n43304 47952\n13969 21778\n44663 90491\n58411 63256\n84604 93741\n74111 79560\n16442 82078\n44207 51382\n21034 72639\n87814 91592\n46695 65372\n50744 94044\n10696 56843\n72975 77990\n1672 65989\n30229 99583\n65834 68822\n3791 98420\n62240 74093\n35526 52748\n16762 89652\n7277 57286\n28325 81823\n53361 60685\n37420 49830\n82612 91320\n60014 65570\n24127 98260\n22201 37690\n4440 18693\n10732 34072\n4340 71289\n46891 61518\n3704 62536\n5080 18990\n56282 65697\n18844 38800\n69859 72313\n65348 90750\n66769 79741\n5655 90152\n61499 79140\n18034 31611\n7696 15172\n27856 28310\n83141 87465\n37154 71389\n38624 59449\n13721 64432\n27035 77160\n31732 63616\n19687 52388\n294 86110\n7331 65722\n4894 84891\n3625 89468\n54558 93246\n17946 51201\n60884 78812\n7607 74040\n59604 88106\n64181 78088\n76076 85622\n30214 92509\n7233 39238\n56597 66741\n31879 86939\n35666 65407\n54410 74900\n5923 10683\n9825 66793\n7880 65474\n3954 33680\n77486 96175\n2201 85529\n28162 93881\n73774 75527\n12617 75435\n25719 26120\n26018 44572\n7092 66172\n78248 80319\n5987 81865\n8708 19136\n49855 84621\n15507 53946\n10813 81013\n6630 40353\n36212 99463\n6241 60141\n34014 91384\n24773 86337\n17864 36980\n13315 90854\n25905 45340\n27364 63151\n85482 92396\n12333 12573\n84103 90454\n1607 67348\n63144 86364\n17456 67862\n7001 42253\n51671 97840\n62759 78551\n69906 96158\n11636 47236\n28454 71016\n37010 72083\n62150 68833\n29057 87296\n16963 50083\n39992 50082\n17417 33477\n43150 88299\n24376 95569\n6683 39485\n16383 40173\n22543 26006\n3200 38017\n26264 51558\n4011 10269\n33649 78383\n61049 97273\n61919 98492\n28468 69428\n36771 44547\n48360 91654\n15591 16320\n27110 37243\n1881 31376\n11769 60956\n20395 70040\n15193 41545\n32355 35401\n20545 83356\n14039 26447\n295 46718\n38828 42060\n31327 92107\n26312 64761\n29633 69373\n28950 96344\n71383 84329\n13366 98586\n9522 71735\n23031 37449\n76643 89475\n1798 94723\n73621 91064\n48888 62537\n29411 78118\n17903 68576\n65613 94912\n62272 94720\n24898 92264\n38226 52775\n22971 65663\n13514 89232\n76844 91566\n18095 36720\n10513 15947\n26539 96452\n49021 79911\n36957 88371\n54288 86091\n76190 90828\n27021 61792\n76242 97991\n7147 93968\n3916 49802\n18686 64705\n85385 99292\n70192 98310\n68623 94221\n8214 18815\n36371 48982\n51742 95796\n42390 93702\n1067 99732\n67750 74092\n84959 85563\n40154 74677\n15075 28986\n16311 41147\n8832 53824\n26921 43695\n76662 97361\n25441 57876\n12743 51009\n38607 63152\n19038 99388\n18281 62556\n25239 75600\n66785 84828\n71990 76505\n67850 96886\n18670 22755\n7026 29288\n27104 74453\n45100 98902\n32521 98423\n14569 36319\n9151 40861\n34856 98887\n13231 85309\n6066 65553\n62727 85931\n9126 67918\n94678 96041\n5565 11343\n16985 43312\n14317 29042\n77853 90762\n68677 82718\n63166 95161\n26711 58072\n18489 42425\n23007 54375\n13858 25632\n14495 85246\n11228 68768\n38316 43633\n68327 96255\n4228 16791\n10519 43414\n24991 68566\n42315 58089\n57638 79715\n29687 67596\n18530 98153\n57871 72023\n62775 75271\n30983 63455\n76583 92789\n78934 83266\n29170 40696\n50197 53514\n36576 90030\n50091 50930\n35218 48311\n50458 68078\n40066 66130\n49540 93763\n36466 81406\n35740 77468\n9489 30460\n21962 56733\n55034 80035\n48457 86046\n314 78346\n35357 46641\n55485 99265\n33308 77466\n8284 48258\n13177 96353\n28098 70744\n28116 89776\n55308 77646\n28803 53991\n19850 26102\n10880 43244\n20456 79110\n46768 72006\n2222 6283\n27355 81210\n67381 99890\n8422 36904\n1459 34119\n28420 74209\n7713 20694\n10 13298\n18395 42985\n32030 95142\n20696 26037\n1593 71208\n51849 92321\n83720 93636\n39927 67493\n24211 54004\n6434 81685\n85512 96804\n57249 74855\n445 35362\n5854 46532\n27080 95401\n64333 68200\n31150 76502\n71191 99838\n3887 65484\n44523 59976\n21793 77042\n65518 65705\n5014 59163\n4957 31837\n35347 84029\n50949 77480\n39694 95630\n18033 57242\n72725 86961\n48761 53573\n49158 52474\n16267 80886\n366 30665\n20655 54206\n90006 98877\n19799 25647\n18904 48719\n11892 95789\n25572 70989\n33100 46495\n56158 95562\n24035 77355\n25794 55255\n53911 84636\n29337 33966\n51853 65430\n74133 78944\n16181 77919\n93816 94006\n9264 37217\n32908 58743\n50501 73503\n17175 44971\n49398 91954\n38576 79972\n32460 74452\n87892 99583\n21634 96612\n52314 77853\n12316 61259\n2073 35894\n1022 66257\n38852 39177\n10182 32982\n18124 81748\n26804 53514\n7564 32265\n30719 51778\n2398 39880\n31084 67976\n31997 88729\n6631 65810\n38424 75245\n82384 98951\n10456 37104\n2458 30969\n48359 58322\n17721 98451\n52825 76900\n2018 42185\n48701 61807\n13609 90746\n707 28855\n60592 95236\n54778 75516\n54051 82458\n43271 93907\n9822 25247\n56781 98523\n8653 52884\n42901 97855\n51307 73526\n4708 61439\n9587 21692\n80410 82930\n9878 61669\n53231 59696\n29 64905\n40585 73542\n30074 67250\n42289 71080\n39365 62980\n60187 95722\n16178 49286\n32862 97902\n24829 96400\n19831 39028\n52003 67366\n19066 60802\n86274 89393\n83771 94323\n54440 93799\n6619 89207\n25583 45043\n34049 76785\n4214 25164\n35943 99827\n56927 81282\n40753 95836\n6965 76243\n63011 75392\n1390 84684\n18972 59317\n13542 16652\n51855 84247\n66483 83918\n86288 92038\n7245 43302\n4250 94115\n80926 81426\n14556 73519\n36886 53004\n25435 61444\n7379 74101\n34828 88277\n87380 87585\n34645 67847\n7885 63073\n8263 91996\n23891 96468\n2351 74635\n10799 32886\n23725 30440\n59312 77995\n25195 34374\n54673 55430\n90750 94433\n15872 48682\n10833 61720\n41206 60908\n51164 68260\n36714 93390\n69260 80069\n18982 92780\n14320 56088\n20984 79774\n11422 21209\n51557 58412\n11562 51304\n48852 94855\n3542 28519\n1495 99464\n47682 74373\n24002 58522\n7638 86185\n66063 70855\n4807 14525\n47393 55870\n7938 55487\n18027 47360\n57863 80069\n7654 56356\n38117 81501\n53037 82765\n2142 8549\n23705 62601\n8408 55949\n43388 94282\n21269 39817\n25185 41309\n13022 38754\n13157 75234\n58223 80733\n38145 68074\n50278 65326\n58768 94089\n31576 86774\n25141 90637\n14246 15224\n41900 67823\n10012 30988\n13292 38658\n40863 75852\n34769 69187\n59834 82961\n24186 60278\n2193 20749\n40595 58501\n31180 44024\n1188 85432\n1702 69205\n44146 97519\n47324 48154\n14133 77012\n18060 37838\n25537 29206\n7562 46700\n38182 85356\n56891 84036\n45201 56397\n33588 64192\n2861 18198\n2646 56277\n66527 74947\n40794 40990\n25885 74479\n73020 82044\n22059 91690\n12428 90011\n13842 54005\n2883 5289\n21430 68890\n18731 29473\n79608 88729\n25220 27445\n27315 81035\n12017 82463\n43951 64544\n57594 63604\n33391 34607\n59248 81808\n25169 49632\n33864 57755\n41198 48349\n33458 63128\n54377 89307\n36872 48371\n67570 90740\n4163 63174\n52570 54784\n289 37868\n41830 97777\n30782 97461\n65688 73551\n6797 16930\n35709 99171\n23212 86364\n41514 43595\n529 71406\n47428 53137\n62493 86856\n3714 81473\n12720 99663\n63215 64447\n77393 78157\n33314 41493\n51680 64507\n43652 72116\n42657 81795\n7635 64656\n37745 93601\n69234 84577\n5641 44511\n90841 94304\n61519 89349\n65550 87380\n29067 79977\n31890 42981\n43813 73814\n45931 96366\n42053 53721\n1974 48709\n64747 98292\n35157 60661\n71398 98048\n84692 93503\n53140 98680\n50721 93055\n19086 68612\n4141 95201\n25168 72980\n38675 39672\n25818 63727\n22375 40297\n2717 78405\n53916 80114\n30165 57433\n31310 61678\n63909 76537\n18219 81302\n28614 65122\n40447 72178\n30879 55910\n19373 80499\n18233 81471\n4433 72313\n71313 91925\n65900 78161\n38781 59988\n4592 77739\n39310 45218\n43762 50220\n58350 94652\n53329 55769\n49110 71576\n18474 89111\n48485 80749\n59313 67565\n80620 85509\n36508 46932\n45947 50717\n46813 79519\n22733 75539\n58231 82082\n29178 98052\n50623 94929\n10443 48583\n10959 71668\n22472 69633\n19231 26012\n12666 55961\n6967 55640\n23250 36902\n9975 44146\n81750 96093\n58977 74153\n13494 87881\n27653 81978\n39979 56815\n31505 56205\n74054 79975\n75424 87869\n43668 93723\n40926 83001\n6359 36781\n48982 77382\n15611 22207\n14213 68461\n46563 69363\n52543 70844\n15764 84922\n40989 85184\n50019 62581\n28744 29849\n17210 58040\n10511 97950\n60920 94827\n40877 96265\n2943 57817\n5349 16046\n33901 76042\n24850 90992\n57698 85814\n34993 90526\n32148 56807\n23455 29730\n9766 40621\n2085 50776\n80785 89878\n14852 36176\n32362 85636\n64421 77837\n27086 93148\n43512 56866\n23762 51113\n61043 96017\n9617 87405\n27039 59040\n43969 47017\n47302 82752\n47422 81321\n54223 96773\n35173 91433\n31155 42772\n41955 62369\n53571 72176\n24194 26088\n1130 69462\n9460 87101\n47013 75960\n42477 80864\n25054 45563\n26489 28799\n61541 71999\n47933 97934\n4065 18943\n26074 47271\n56544 57239\n30401 93340\n17759 38442\n12069 75615\n68878 86736\n57535 75355\n3089 16988\n2697 9251\n4315 53777\n12012 98649\n19696 89299\n90422 97312\n46861 53476\n11820 55776\n65671 99177\n24710 66575\n77251 93115\n51812 96494\n16832 72710\n21497 59749\n39564 93323\n56795 63810\n13422 50955\n77697 99379\n65084 72011\n28872 73350\n78985 88275\n12103 81784\n27220 80419\n47242 79644\n2987 49860\n9055 43678\n43260 88941\n50260 52130\n71928 92294\n49038 84498\n6509 9971\n29067 42631\n58026 86953\n81840 84190\n90505 93754\n62216 96630\n74928 77818\n65966 91870\n44412 71204\n5723 68273\n21308 46043\n28530 50463\n12492 55959\n4567 19273\n810 71265\n28439 57002\n30599 71645\n36638 75592\n62910 90871\n12135 70984\n35199 45180\n19756 32735\n82575 98161\n6935 61727\n21364 61845\n14654 19078\n33843 38452\n93118 93339\n60348 93694\n3538 19304\n17043 98336\n37857 85535\n50610 77770\n26200 85839\n17923 94011\n32694 94260\n2235 45712\n29307 35728\n38826 85492\n4602 10210\n22578 41921\n78848 93953\n25339 45723\n86101 89119\n66097 68624\n9678 79518\n40602 98555\n4995 86905\n79865 81910\n24407 45340\n48852 95608\n15250 93269\n25648 31350\n53941 86370\n54865 94471\n15066 43279\n56073 89257\n62449 76950\n18806 59325\n38411 99662\n34816 84734\n36244 66037\n6047 84037\n30190 93207\n1151 82519\n21327 79958\n20239 29862\n35077 39821\n54614 74263\n49203 57387\n16463 88163\n61763 78679\n34184 52482\n40101 47448\n63636 91844\n12679 29759\n3301 62064\n3708 34466\n57095 67118\n48813 68801\n29909 35188\n82562 89634\n56399 60835\n39988 53573\n34937 38334\n50614 90142\n18213 32327\n40220 51961\n8548 58553\n42798 90601\n5756 82641\n38253 50567\n3978 55792\n14564 93534\n72736 73486\n43091 77501\n61226 87084\n12579 76765\n30114 59608\n14774 22411\n45497 79960\n20998 51855\n13517 52268\n36356 65001\n8905 12972\n92501 95619\n11157 12697\n77675 96264\n4120 33798\n28868 94689\n11985 32743\n30616 43422\n23250 61161\n47572 76069\n73952 75316\n2963 67375\n7052 79523\n21707 99409\n77621 82386\n33744 82914\n20818 87738\n56184 94707\n2234 86566\n2507 6885\n42717 94468\n55562 67498\n65216 95907\n57962 95828\n31156 86332\n23007 65276\n12161 89877\n2793 13265\n63698 96709\n1704 47352\n5865 78035\n19330 72881\n385 10836\n39362 90448\n27002 98138\n93706 98617\n57561 66618\n10474 38570\n18178 93607\n5226 28685\n33511 56078\n72903 74400\n27862 63992\n24952 48623\n6775 33778\n1472 1837\n58427 97284\n31298 71632\n80663 84843\n85216 91739\n44481 58770\n62321 79335\n30230 71135\n49366 67614\n44239 95676\n24161 78785\n30970 57446\n40675 93974\n39003 94230\n11228 18305\n146 74001\n31509 51597\n34892 93798\n37916 60392\n25010 62927\n46468 85067\n25008 42182\n40655 78773\n26488 70842\n12170 65150\n32504 78115\n3439 96814\n62795 88750\n38520 47880\n22419 87502\n16597 89342\n10580 79408\n34898 65657\n48516 65864\n17203 58149\n57661 63601\n13648 60095\n78987 81667\n43412 63482\n4359 44062\n45891 55031\n4201 85206\n32666 56159\n707 1325\n71507 82849\n82541 86569\n23505 39885\n8752 50739\n24762 66700\n3267 86308\n56745 80174\n16037 58454\n56994 65251\n33466 71480\n52691 96903\n63921 66206\n60219 82804\n3151 63455\n20657 27447\n37432 82488\n15462 27025\n26370 81532\n63798 91036\n69933 91906\n67063 77719\n30121 72419\n77326 81522\n25709 94257\n15141 21259\n2154 7487\n26669 53597\n29088 39898\n26457 40473\n62258 78075\n10836 33592\n8600 62951\n4181 17036\n58500 99674\n27754 32361\n38830 56837\n29691 65710\n16660 42147\n19954 60163\n7369 19865\n47649 71511\n23530 41833\n54624 92898\n70471 80633\n11485 57610\n66036 70101\n28345 56430\n350 44486\n78960 83927\n34093 40848\n49313 72655\n18021 46392\n11468 64100\n89266 90657\n23952 73152\n73389 84345\n24074 64263\n7539 70016\n10189 45910\n25763 63443\n3093 4403\n44580 92188\n44955 72003\n39264 51014\n3019 8650\n1224 58222\n37754 58070\n21141 72041\n22850 40663\n27675 87143\n13049 99705\n5001 88184\n73261 96345\n17122 35575\n29573 68354\n29819 34936\n35139 51744\n72763 99630\n28140 79542\n11140 64650\n4951 14266\n19631 32437\n42299 75687\n57453 90164\n6944 68881\n34959 86368\n9494 19538\n8940 97072\n43237 58846\n17332 50659\n7094 12652\n70466 95354\n7100 80155\n41795 45641\n15816 29347\n666 17753\n42105 98609\n64446 83300\n12151 14997\n49453 63335\n20272 73176\n7225 24699\n56337 82574\n18131 69711\n45804 58012\n61185 74053\n10010 66468\n13782 52763\n56038 81960\n38924 68968\n87132 94907\n13542 46731\n17106 33442\n49258 93041\n18368 31346\n23747 58756\n9688 29584\n66667 75430\n19820 28543\n9313 16899\n57316 91535\n2177 57892\n31138 94288\n43574 48587\n4784 42258\n15899 43370\n37305 57822\n17648 65632\n85513 99299\n9621 24775\n42400 57112\n11960 35735\n50771 69073\n75457 75992\n40250 91799\n92393 97438\n36205 95995\n38472 50004\n22692 36153\n23131 81667\n26414 70999\n86794 97718\n29133 58251\n51988 77865\n3525 55583\n18925 35586\n43785 52188\n24375 47312\n8231 61383\n4602 38256\n48827 89087\n17318 81431\n14896 41637\n11980 15023\n40477 54373\n65767 71900\n82446 93054\n46172 68303\n55735 80305\n6368 23142\n22822 35842\n55465 89567\n9691 94428\n40031 56593\n4436 41158\n69643 88715\n7735 84138\n11877 51326\n1109 99332\n16008 60708\n35729 57645\n26093 96061\n23084 44993\n45547 61711\n64106 93994\n24714 91543\n7165 36229\n36530 52591\n52722 97866\n4875 45136\n49382 99108\n39368 69818\n48676 57321\n26750 99650\n42537 85151\n63244 88730\n22363 72586\n18353 60978\n4781 16661\n32091 81072\n39139 43163\n39450 99306\n43166 63994\n28047 30138\n10050 36438\n19779 93413\n39384 74177\n432 92612\n9531 10902\n44816 68876\n16497 19548\n40 51404\n31032 41988\n23291 87302\n52305 67997\n3620 44813\n70319 71299\n48097 91714\n17003 84182\n15904 20710\n5881 60218\n52052 59568\n92075 94676\n24868 60967\n37739 42278\n87615 93221\n53074 62568\n15329 71499\n2238 30900\n42963 57146\n39054 84963\n37515 39698\n9910 67316\n78128 80424\n45311 98667\n2181 36794\n35664 73289\n12670 24646\n64845 92920\n54698 89783\n44861 92502\n7838 15258\n25499 87922\n14868 98451\n26724 85067\n8891 73961\n29004 32249\n74876 98883\n14968 37435\n53931 76086\n27854 59489\n17682 86201\n28901 94433\n3964 75091\n64915 72712\n40326 48154\n5997 98645\n36618 46076\n29938 83271\n28989 37323\n57978 96869\n755 1214\n22731 45937\n88654 95015\n22520 79449\n71046 96772\n24920 51172\n68368 87591\n15671 23733\n4461 63281\n33043 95831\n35081 51254\n6238 50574\n46131 79399\n37384 53035\n6276 30133\n39544 99755\n55484 84861\n50860 77574\n76977 78705\n48649 74011\n19367 98864\n63326 88623\n25512 94010\n9485 88883\n5100 23924\n3277 32720\n32568 92515\n40094 49730\n69709 92075\n64320 91762\n24085 59853\n2104 53633\n41146 83455\n54040 81193\n37793 52223\n31882 86028\n5960 57405\n16527 32307\n22415 73190\n48985 79995\n48884 80144\n50099 82292\n40448 85133\n14736 94949\n41786 46060\n8071 19418\n6489 52354\n91426 96151\n34019 65519\n46370 58014\n51496 71645\n89022 89381\n37621 54643\n25600 28675\n50274 85259\n32405 57580\n19857 51974\n56987 67929\n20954 43275\n47123 80427\n24165 42780\n12023 64778\n20672 73102\n18979 97697\n5190 18779\n53860 92145\n74455 90537\n19117 93645\n7271 75358\n5640 72159\n8007 27752\n56562 58410\n92799 98588\n18749 73643\n14120 88551\n14965 69931\n5107 91735\n1752 34661\n73881 80175\n15186 74531\n1182 83985\n11463 69299\n22348 42602\n72427 95618\n25493 45510\n3584 31602\n77343 78460\n15165 31569\n42252 64279\n14356 23202\n63011 95900\n9843 56056\n75253 83158\n35731 75040\n41628 89314\n13596 90735\n3292 19200\n46596 47424\n5823 21271\n73378 99511\n814 50061\n52677 65477\n678 64021\n26708 79559\n77657 86027\n39244 52175\n39833 82107\n94605 96243\n67118 81370\n10066 38513\n2228 13418\n4051 44837\n574 47730\n20675 69918\n84165 98650\n66362 87323\n15468 83572\n29262 68220\n38688 47057\n25441 97820\n42131 83843\n45363 80721\n10915 12905\n39870 91661\n28251 46247\n7350 86793\n49678 62496\n8487 71314\n64937 99611\n8975 34605\n26509 50674\n15282 47683\n54665 66085\n38634 61037\n71144 89895\n60064 95002\n55417 95740\n42519 92416\n48358 70847\n79705 95418\n30250 46642\n54549 91431\n35472 94625\n10048 86068\n59764 94267\n13 97382\n10760 64213\n54530 89147\n6598 92117\n90860 96098\n33427 93692\n17201 76031\n37007 61055\n34541 97279\n75133 91887\n49273 59130\n32450 88297\n3204 67121\n2291 47217\n35067 37138\n34542 67397\n1795 70216\n39512 42489\n46414 48016\n61172 61732\n48478 62289\n28574 98715\n88054 92503\n47782 53885\n47293 55951\n72603 84064\n2071 46361\n24875 90692\n56357 62936\n1041 58180\n72116 74654\n25116 89324\n9738 75577\n54468 92903\n26531 87071\n11240 89405\n21928 75996\n13768 96114\n33073 71020\n80830 88948\n72966 96891\n1335 88178\n52772 77672\n26275 51031\n1814 70542\n16181 46085\n29850 59416\n7835 8096\n49434 84611\n25508 45825\n44951 59246\n1700 97062\n14952 28305\n67041 98566\n42003 43244\n8197 81622\n51000 75124\n7824 82795\n37180 66990\n278 37871\n5486 35264\n28349 28453\n86759 96628\n1162 67014\n19415 84739\n21263 52502\n47058 60240\n27490 32393\n93212 99150\n24718 59389\n5584 30720\n16047 63134\n63505 68798\n38515 71683\n66473 69251\n54541 74841\n30160 54500\n81543 96491\n82491 82557\n4868 17498\n24779 84376\n19908 20156\n9847 83652\n37367 67363\n15125 82251\n23924 47711\n11340 23159\n85172 91374\n41987 44933\n9798 91754\n47890 64708\n31132 45587\n58324 70325\n26782 79762\n38427 67231\n20830 96031\n10349 48389\n9394 17594\n73328 79177\n5934 88537\n7516 60181\n21741 29261\n22631 32507\n5834 41002\n42090 98618\n7939 90318\n3597 90341\n33004 97142\n46523 87706\n15910 95449\n23262 74943\n19006 99199\n7508 13815\n22735 98033\n33996 84658\n19290 93071\n20125 65136\n6084 22466\n7850 94683\n678 15655\n7573 22608\n36056 70910\n17611 23293\n29066 71466\n7716 33336\n27425 29781\n6887 36450\n17727 50190\n51252 97613\n33322 87748\n11529 14008\n12808 81256\n66377 97842\n11590 36884\n11507 37511\n22602 44529\n5532 45768\n56949 84168\n20516 65495\n23910 40171\n21556 79069\n5185 91952\n40952 60464\n50832 78342\n3505 10804\n17092 37057\n24831 66528\n6342 54050\n19971 81598\n63814 89203\n23290 79715\n15626 61978\n59652 63529\n66058 96604\n13918 78316\n37617 37700\n51119 52752\n1593 12013\n28149 62343\n48872 51212\n6792 58391\n32586 44529\n7472 36005\n58343 92492\n24267 34976\n47741 62365\n89148 89594\n279 74797\n26624 55272\n30295 63381\n12800 48721\n62248 97002\n68588 83140\n20746 65580\n74958 80082\n13452 55607\n3914 27993\n37388 97311\n54219 55545\n57499 96078\n9074 86212\n15542 76818\n18567 19782\n4247 95589\n19043 81931\n22152 46949\n26 64925\n88600 94664\n53326 92207\n30054 95713\n53078 83059\n57509 80999\n9021 75151\n35818 90089\n1342 1514\n11536 31168\n39911 98038\n21981 76822\n25791 57803\n54351 60930\n74879 78544\n53691 89887\n31721 57649\n11701 88087\n3190 45687\n78075 89987\n17896 18957\n71411 71736\n29296 46257\n64308 76456\n3735 87319\n9680 61253\n7517 11803\n72438 93385\n62382 64735\n15129 66118\n34919 50231\n44183 85394\n5522 61241\n15173 31281\n63053 66565\n43455 74876\n68665 77230\n16177 43763\n34490 44709\n82074 96563\n35761 71037\n28574 29782\n73170 88194\n4803 41385\n18163 42418\n50635 91606\n16525 91565\n84296 94782\n37763 77935\n15834 66671\n36997 92391\n14904 92378\n42730 49692\n60316 70387\n25776 84103\n30174 36836\n29382 56512\n18062 67110\n8793 31397\n47420 95193\n30047 35278\n2898 77710\n31068 59568\n46081 66358\n10066 20758\n43229 64193\n50197 67242\n87845 89055\n32777 71311\n54970 88997\n1571 66936\n42352 79598\n11445 37548\n37042 91479\n51366 90882\n4145 69647\n3897 45714\n5393 39168\n11969 75690\n54687 92470\n13247 36817\n22503 82357\n4862 84932\n40212 56900\n25961 37879\n3271 42247\n41061 81047\n30600 40175\n41131 63097\n1356 71877\n27830 92815\n8990 90472\n15460 63188\n4430 68433\n3192 4585\n44969 64192\n20312 96963\n50894 63612\n19618 68946\n14779 71697\n1325 32191\n31933 95948\n17669 44713\n18725 29240\n8152 9418\n6313 27496\n32361 63885\n3416 46030\n3302 13009\n62653 77208\n2880 90035\n13171 46011\n10914 40268\n55075 59184\n47675 59622\n38725 56298\n44850 62790\n7566 31692\n31790 38003\n48477 63632\n68250 92655\n32281 51348\n56951 58976\n560 7373\n36365 53412\n25717 70368\n9879 75820\n27583 34627\n35544 42541\n60655 63984\n28400 57290\n41036 76860\n36059 74065\n11575 98027\n41002 68966\n29931 34211\n7855 51279\n68519 84204\n11882 30836\n50060 83649\n42596 81854\n57670 87270\n10150 28810\n43739 49386\n37421 69868\n14535 17401\n54451 95341\n18075 86144\n40500 55340\n74255 85940\n73588 98370\n50782 57077\n84925 94350\n63272 68467\n57179 92908\n4086 46240\n31275 58429\n688 10170\n16176 16564\n24695 85804\n1352 78364\n36348 73468\n23531 24094\n44189 81373\n47968 88712\n14984 86184\n84135 96501\n59828 59908\n26637 27681\n4253 45874\n9359 49030\n23878 29697\n40347 73126\n39416 87875\n61296 82393\n1176 11405\n45914 78903\n22436 34827\n59340 70093\n42268 52367\n43675 99481\n37288 91363\n72737 97751\n96325 98025\n10507 38617\n5095 25373\n14979 33170\n34552 84293\n10492 74598\n4543 52069\n2414 94289\n5083 22734\n32958 86970\n27490 41840\n5841 36413\n9799 20507\n5362 83608\n51613 61454\n3337 62882\n38144 68403\n46373 99695\n89995 91946\n61460 65997\n36600 63691\n40761 64533\n6050 47723\n39625 75478\n17619 42722\n11129 23744\n16865 46791\n28919 85600\n84891 96158\n10550 56947\n32655 90707\n7486 67891\n68148 99331\n71410 93914\n23435 63700\n7722 92484\n51303 69719\n52168 68233\n77471 95733\n17456 92880\n30869 65144\n56038 90430\n5077 8823\n29317 59226\n67190 98024\n15123 89254\n25445 62508\n22545 87372\n39416 92720\n61548 76537\n15476 89280\n64285 94845\n12496 58588\n16293 58092\n7603 38695\n15541 89405\n23592 65612\n26160 53034\n15083 19145\n42589 44667\n35646 52820\n11033 40485\n4903 55054\n23026 61017\n49395 75533\n68984 86791\n12135 22863\n19215 34305\n44418 88672\n51536 70293\n26391 37025\n74382 89515\n31685 43645\n56683 62030\n34538 34546\n56110 96081\n2184 92103\n13541 68853\n18804 60785\n40158 82207\n84432 98673\n37849 89038\n16906 66770\n21864 72087\n18271 80791\n50098 64285\n57 58022\n11262 31740\n341 43651\n51912 83855\n12059 77001\n36324 40808\n40169 52512\n23868 69218\n47 69004\n43233 44993\n23306 51415\n2767 69849\n69159 73263\n18984 62258\n83504 88712\n64569 88195\n371 91887\n73129 79411\n39768 47660\n71598 98402\n17152 22279\n78154 90576\n32639 68046\n52914 63344\n12481 51171\n2368 82003\n534 39084\n38166 55006\n49514 77663\n3728 30622\n12489 16402\n4087 86521\n1676 55600\n11729 83174\n18345 97769\n85293 91047\n11591 64054\n38775 43342\n51654 60266\n60235 96051\n41196 50250\n2703 17217\n43844 81522\n56049 72750\n39103 87957\n46790 49587\n6008 82529\n57814 59241\n18004 67173\n7832 69363\n46450 72356\n35072 96964\n10442 51735\n55310 69265\n51557 93901\n35174 95345\n49597 51770\n89648 94306\n5609 24472\n18456 89334\n72332 89198\n77221 80240\n21635 32355\n19189 65400\n5636 52599\n4662 60833\n3504 35768\n58916 79253\n28842 41608\n27478 88848\n19378 41357\n13130 65760\n16122 33903\n19171 49487\n22407 61492\n20455 55260\n74363 95290\n35213 60380\n5528 98891\n9014 33402\n2853 90046\n29561 77087\n6439 9248\n3073 93450\n28829 94704\n45553 79547\n5189 71238\n54721 61647\n84475 98517\n4912 88424\n11873 16170\n15311 19377\n29554 47392\n15200 28748\n150 85903\n17910 28713\n4795 84810\n49716 87295\n4532 43848\n40758 89129\n8746 23441\n33397 95927\n71182 96965\n80243 81378\n8345 86641\n56879 76100\n20183 69451\n22665 69418\n64280 91232\n36712 56777\n35494 96736\n17287 83897\n7973 69290\n93830 95644\n72961 76723\n3619 56159\n34659 36511\n10546 89055\n4568 82914\n41859 43461\n19252 28954\n66077 85846\n50019 77868\n7336 43877\n63703 88955\n62596 63053\n13917 24822\n7907 67711\n92146 93065\n298 27311\n7464 62475\n6183 78407\n10296 19230\n37743 75304\n84944 92013\n90 77070\n48063 83989\n33382 95655\n30050 85292\n41946 51737\n18636 98009\n41222 59680\n7205 39084\n50818 95708\n82788 85450\n49462 99637\n21305 96786\n42968 54736\n24074 75179\n23068 86803\n20775 49992\n67963 83803\n2396 99955\n22200 27144\n63467 90447\n39110 51608\n13387 42410\n26336 38030\n44160 96219\n23369 68329\n52643 66124\n35916 38773\n31665 40976\n20064 91680\n54772 93391\n83746 87053\n16075 90648\n46510 53735\n62675 66583\n19014 85643\n39170 46515\n7588 10397\n18173 68302\n16829 22698\n40325 45961\n14254 48227\n48057 48424\n25769 94408\n30872 93628\n24481 26713\n43443 95198\n21460 67875\n14767 83990\n5529 36573\n77792 90193\n4040 88955\n77351 95117\n10546 16761\n19905 72182\n39941 90121\n1401 77412\n34257 69926\n62080 62785\n51885 54217\n62792 69941\n2005 39804\n6990 54629\n16467 68783\n83245 85085\n66459 67215\n36366 60440\n54404 68147\n25750 43002\n38549 52718\n12466 68168\n39353 61608\n22296 97680\n40037 42636\n19343 67081\n12642 61912\n26921 48762\n79721 81634\n8029 33832\n54664 69907\n23949 68268\n69142 76312\n1910 90388\n59130 63382\n13083 63041\n65710 81549\n58894 80096\n6074 83738\n55144 65553\n52953 60180\n31017 53262\n5740 12020\n16855 68781\n59053 74838\n69077 84724\n39436 66112\n43121 86918\n7749 60252\n37511 47787\n14161 55827\n57595 74920\n4169 74625\n14668 89509\n25203 47962\n8167 49543\n26584 71893\n6630 62634\n60331 88128\n25107 86458\n42219 43972\n1809 72377\n4734 50638\n28068 77999\n30796 95609\n12486 54781\n4936 47889\n17174 92332\n10747 14941\n22186 96648\n6222 96987\n29159 38300\n22142 26915\n25117 70784\n53025 98945\n54947 72983\n3362 92212\n22659 83988\n57358 80034\n54112 58545\n13162 15480\n71219 73948\n11254 14385\n70679 70795\n9367 87510\n50821 82368\n37532 51128\n27667 69741\n80803 82946\n26373 51920\n5956 9759\n10452 52768\n25922 29872\n22677 76071\n15857 89211\n56061 92002\n84035 84185\n61628 80119\n54790 84919\n51904 52005\n93031 93603\n66638 69310\n57517 67164\n40483 76595\n18854 94981\n65540 77191\n43641 49084\n45087 94823\n58344 67123\n5608 82608\n10711 61945\n30010 46095\n30184 98772\n24712 83292\n35949 75005\n1594 69101\n49380 51871\n64748 73287\n77853 80801\n22699 85494\n1660 51609\n65729 93164\n47961 99159\n14121 50181\n76051 78836\n25536 63508\n14009 74384\n47172 95738\n16643 47717\n19698 72280\n50460 96086\n8658 52315\n22497 70167\n44773 95314\n69552 99291\n16094 18756\n33424 99076\n34169 43316\n40318 46964\n19844 92281\n16217 59586\n6196 97412\n1062 83322\n16615 41562\n84699 92341\n6466 27147\n40073 80751\n64267 97066\n27563 63210\n33052 58061\n18465 27794\n36266 83918\n48211 95100\n1622 46698\n63815 69028\n62858 84835\n19573 53092\n29900 98047\n6752 22063\n6764 11084\n17618 93396\n23855 25531\n3457 81368\n78573 95647\n75093 82316\n27847 72591\n14262 85166\n13259 96931\n35347 39586\n40698 69420\n41837 52716\n3736 74602\n14349 79332\n7379 94514\n1057 93344\n78039 80851\n24907 39100\n22390 66823\n3401 57352\n15774 62934\n20630 87081\n28329 51977\n94143 94518\n40392 40929\n83445 85469\n82412 87185\n33925 88921\n20717 74139\n17172 89964\n19462 34565\n5312 77384\n55542 96690\n70720 96566\n58223 63535\n65456 81047\n52727 54967\n80594 84428\n45250 45663\n47048 87401\n17408 90199\n41898 66362\n7577 9986\n9463 89524\n62119 79382\n30281 76291\n3174 13484\n7587 72745\n484 80381\n15930 92350\n36753 87680\n12194 23475\n82679 82989\n14434 20498\n17026 86314\n4375 70776\n45253 95741\n50811 74029\n81131 95136\n87405 88975\n21199 50101\n73132 94909\n51942 80957\n30194 41300\n37866 42629\n73367 97731\n21262 85390\n30313 34721\n10174 52170\n11424 70618\n21904 92421\n3738 43949\n28229 78762\n11325 46888\n38639 88210\n56666 62442\n3108 84608\n46811 79997\n9775 62462\n16978 90559\n12059 32980\n76161 80350\n33510 57015\n19388 24492\n24506 64958\n4142 20637\n45868 47451\n48905 51952\n33337 80316\n11440 47807\n46160 94169\n15394 30630\n78284 87663\n80771 96680\n3437 45281\n32818 58763\n16554 20504\n14179 42903\n20398 66286\n32150 89134\n16770 49877\n835 31598\n28927 81836\n55668 76665\n15394 99625\n56614 79939\n11437 81744\n10626 41285\n17857 98190\n57616 85686\n60552 86763\n35538 56973\n52967 90420\n27089 36276\n31207 52761\n80576 82403\n47702 64016\n17541 51476\n31743 88452\n47314 76630\n9837 91735\n40974 52734\n14154 15266\n29953 60623\n58919 71144\n36100 55796\n13781 95992\n67916 88908\n40379 83958\n9601 67135\n40529 58965\n79699 96429\n34535 52035\n4000 69867\n5028 47125\n28183 57660\n45459 62315\n54712 59008\n85089 91233\n74886 84233\n76391 77898\n55337 78279\n34096 36748\n14267 86594\n11146 88919\n57183 77848\n40481 78710\n48201 96153\n54517 67614\n25538 55897\n38712 48150\n18863 73244\n2684 87225\n50285 52635\n47933 61777\n5574 89641\n54577 67181\n41533 68127\n40935 76000\n43236 91425\n10076 36037\n28426 80691\n62104 81851\n16653 79485\n8979 92747\n45889 99307\n68948 82253\n40668 74153\n47651 89500\n58601 64347\n31867 43773\n6061 90297\n91890 98145\n15019 81070\n98908 99393\n29892 48274\n10386 38484\n37311 75868\n24404 33393\n25289 96895\n31744 53167\n27543 63713\n22501 34793\n7302 38574\n38578 40215\n29514 47024\n48951 67478\n14671 59775\n3844 56290\n35226 76265\n28263 31412\n338 95344\n12629 91135\n51697 97299\n62899 67064\n4007 67678\n33939 91296\n36602 94697\n19308 47788\n10131 87838\n19389 55981\n25804 82326\n45822 91192\n57289 86059\n49378 88984\n43272 99571\n9821 30206\n3317 18698\n70815 85324\n48164 51366\n90988 96009\n32967 89244\n4647 85653\n39078 58988\n75615 88539\n47132 48558\n23759 69934\n30369 89931\n8728 68393\n42095 84490\n39370 56142\n30593 49295\n70672 96013\n2774 36332\n44570 62516\n57613 88417\n14874 83610\n61790 94024\n34919 78560\n27928 35919\n5433 73272\n84089 94458\n6094 91207\n27805 93279\n60473 67597\n53242 83836\n5337 11563\n36512 80092\n35563 85564\n64854 65458\n73593 88781\n76124 82890\n35166 45563\n67201 82690\n72797 85073\n92964 98007\n6765 35178\n32649 54759\n11197 47189\n16330 58320\n19280 71068\n20243 48862\n1453 75639\n10202 88370\n62969 64356\n37948 70390\n62142 77343\n59708 60234\n32536 59655\n12945 13799\n237 96101\n1178 90712\n29542 71606\n59380 87287\n4556 10745\n19592 93587\n5277 46003\n15600 81400\n53261 72707\n4557 29452\n501 43670\n81858 91869\n39692 72945\n68742 92327\n86953 98987\n47715 59891\n67091 76549\n8558 45246\n24950 73966\n6042 63944\n26130 69849\n59547 69142\n53283 76503\n17332 28514\n35427 83458\n44898 63140\n11423 55380\n76933 86582\n33335 69173\n27099 75335\n19171 84749\n49733 90435\n14092 86217\n88459 95749\n66 55945\n42738 52890\n57342 86901\n34935 68622\n4965 48606\n40952 44285\n68198 73599\n4026 79481\n60942 91631\n67087 89380\n78441 85427\n4690 66205\n2812 83769\n42379 54437\n7189 94022\n33437 56292\n32572 50249\n7102 78676\n41372 47905\n71671 79597\n22318 74850\n13673 62151\n3589 22569\n61587 80359\n9917 99945\n23250 84973\n21153 45157\n35039 74364\n78589 94315\n41881 85445\n29509 81384\n20410 38547\n15214 65924\n72929 80903\n18043 36996\n69068 85117\n59748 96386\n47600 48482\n51910 75758\n90290 97361\n1025 69942\n23648 82178\n9475 11954\n10590 27654\n44104 48441\n18772 52506\n16425 88735\n7250 72178\n4381 89227\n45872 67220\n5907 44378\n48668 91607\n11860 27560\n3571 42067\n5578 75482\n16135 86961\n57532 74683\n70001 71542\n3249 56583\n58272 59926\n28516 79691\n63130 84004\n46481 83233\n24918 28828\n73874 84444\n49007 74236\n6609 31179\n77842 85284\n80773 95713\n25558 74937\n30409 92205\n41320 80991\n25733 34401\n66857 88827\n17617 55184\n25371 66604\n23045 44223\n57014 66275\n48714 97742\n74268 89435\n11213 86638\n45784 93198\n12726 97938\n48499 83182\n47559 88358\n8547 36624\n3607 43299\n45644 97737\n27702 52560\n56063 84550\n24919 77363\n74010 83960\n5611 77608\n46797 95431\n25417 82684\n34266 47158\n36297 85388\n19900 48941\n14617 30019\n58195 97508\n14036 31898\n48762 71037\n14874 50510\n10866 52556\n35549 72826\n15304 23405\n20592 52677\n28087 36435\n44254 46183\n70976 96866\n9087 26480\n14555 61712\n2548 21195\n37240 59386\n23261 62275\n826 72685\n30699 49556\n18763 23611\n17525 33487\n9154 70370\n14418 88141\n16319 73734\n36665 59516\n48585 63260\n85796 91677\n54374 83492\n43636 82298\n45073 48230\n64848 86487\n22800 46357\n62373 99119\n75362 77679\n18589 88099\n55523 95651\n20562 91317\n77497 87409\n6797 20948\n28530 73913\n888 43776\n8501 25031\n32429 43205\n3276 80969\n13511 15306\n71097 93293\n79519 84421\n42443 73319\n87101 91173\n61417 75898\n10505 39830\n36423 75509\n32001 38947\n48561 55330\n919 44509\n17101 85212\n29004 76790\n43969 84651\n4798 66866\n25546 33512\n91736 97236\n10257 87340\n30358 56429\n56132 82812\n18140 63756\n13025 38389\n16367 82032\n6670 24805\n87841 93101\n41052 84120\n94104 96753\n68570 83204\n2054 49893\n32795 60493\n22704 70139\n6152 27016\n8589 28802\n8380 61460\n3851 18688\n3249 47557\n55845 83111\n733 17275\n77653 96103\n37960 49894\n29528 80195\n13435 53321\n12885 40557\n8334 36715\n4911 69101\n50708 59024\n7025 59367\n52952 85919\n60477 77937\n24110 81111\n38450 49787\n24982 65971\n8503 55807\n73906 86744\n1992 64705\n80530 81839\n29217 53920\n15457 34336\n29741 68635\n38902 94908\n17069 46289\n5570 93719\n30670 43518\n32565 52526\n5567 35346\n50176 85002\n12133 91451\n30552 64469\n37235 68939\n8245 82029\n18622 60132\n31620 59308\n16637 97317\n4900 6260\n78119 82152\n5153 88491\n14398 46295\n69203 82064\n52745 87562\n10622 93137\n5367 61503\n7104 26802\n63168 91063\n86347 86411\n62854 77134\n45231 62117\n83379 91647\n22854 57416\n465 46895\n18286 38602\n19429 55345\n26074 62039\n19119 77763\n30951 78193\n64025 82116\n18732 72714\n36504 98728\n10460 32586\n51846 59591\n8600 38199\n47040 75288\n56387 65697\n58992 83725\n12311 18165\n6364 70284\n7831 15692\n28833 46260\n63926 73850\n29761 68415\n10800 89483\n34981 95386\n8657 90211\n6772 71213\n40405 98347\n76893 92861\n30986 38330\n58811 88027\n27807 57227\n727 72564\n71194 84319\n65603 89613\n13208 63589\n44379 63915\n45122 93521\n24643 28006\n17299 19021\n754 88750\n53392 96844\n11581 92530\n70010 90716\n54930 99556\n68531 99541\n37261 92508\n61733 62602\n10570 66567\n31110 37098\n71687 76099\n41429 99228\n24218 89451\n58952 65649\n28833 61347\n36926 37449\n6158 43906\n27386 58746\n25869 83032\n70994 85581\n6742 44716\n54782 73819\n27325 60780\n61736 76035\n46126 79400\n77672 79269\n28592 73437\n5972 80436\n77360 97733\n28790 47501\n17892 76395\n7571 22218\n3687 84168\n76148 98600\n75593 93479\n13563 90064\n48453 73968\n51008 79583\n32953 36842\n8569 82190\n91037 93035\n9259 87584\n23520 97572\n27473 56146\n16726 82210\n36697 95107\n41718 52291\n79474 90434\n58469 92768\n12476 67722\n29529 34436\n20057 65243\n26638 29075\n8307 17000\n38685 87227\n21111 58346\n50845 51795\n72111 88413\n7635 83267\n35678 52071\n27985 36035\n21455 62729\n12493 16852\n43640 52672\n6757 27024\n35801 51356\n65192 99517\n39863 54002\n19561 50638\n56639 87784\n8851 35641\n68834 96683\n4743 54159\n12226 16811\n34190 58228\n36458 54210\n1375 75613\n2420 30733\n76721 94568\n41257 54327\n9990 20689\n9753 42674\n9142 89484\n27335 80357\n4071 65345\n14280 97107\n6631 44308\n36001 98232\n51483 81848\n15207 68843\n2283 79638\n36578 71260\n978 8507\n23166 67542\n3194 72983\n10094 52180\n42176 98342\n57928 60612\n11928 19621\n2813 37574\n4676 62866\n60474 76175\n50387 98896\n58645 75122\n18774 32241\n19649 49161\n24541 59452\n77237 90840\n8056 42265\n7589 15459\n66115 68799\n69384 96939\n59730 74838\n30505 63414\n35906 72344\n23485 47918\n12562 81688\n51334 59530\n23829 32610\n6886 77810\n37971 89600\n44350 61768\n34535 50366\n17949 18170\n65435 88362\n22259 61009\n25962 66577\n32774 44326\n8264 17300\n2726 95241\n39122 50709\n14268 54010\n26024 68813\n20847 85696\n54701 77020\n19061 73833\n21641 74217\n6729 86477\n4718 57446\n23250 36136\n38419 83653\n55027 78595\n58761 86138\n58413 69009\n3200 71537\n46291 57991\n59400 66017\n25689 47151\n60215 73353\n1682 20422\n73580 93257\n16188 49877\n13027 96414\n3517 65493\n31442 35526\n47021 88987\n26143 52843\n38786 60338\n67778 92490\n47503 99532\n10877 18564\n54693 93980\n27632 94511\n29687 79384\n90659 96206\n23044 73725\n34578 44378\n69732 78656\n17284 50499\n39909 52817\n21297 92532\n37354 64240\n44616 96502\n90990 92115\n3432 84162\n10284 80813\n10022 74017\n3764 18035\n52723 94615\n40680 64035\n25285 29728\n20652 35256\n41495 46914\n16966 85145\n144 15390\n40683 75782\n38274 90908\n44465 88382\n86949 88007\n16431 76533\n25693 51588\n17949 99914\n42999 68742\n25860 68192\n17013 47024\n60703 92897\n14551 85320\n50181 70666\n31516 72450\n9883 91729\n7699 36100\n33793 63548\n66540 79138\n1218 98649\n69387 96509\n53016 85397\n8027 45068\n55169 87311\n31286 92205\n78651 91079\n23995 32020\n23322 81711\n53833 93219\n28061 88866\n41737 72757\n39682 79012\n12399 63730\n48648 51388\n86769 98089\n70231 80031\n55768 64535\n49916 50808\n9465 14669\n3874 90014\n14428 35133\n34662 44572\n31412 47570\n54768 70429\n24285 97434\n87377 94686\n66015 77222\n58793 76210\n45721 79876\n1379 21419\n22121 38678\n91527 95050\n22390 77190\n48735 73818\n64341 70494\n48557 95856\n34897 95768\n30894 63743\n27337 68617\n26748 63555\n16628 49127\n69014 74011\n9024 26909\n13978 40610\n22371 91001\n25440 88387\n64061 69932\n42291 85191\n76688 95098\n29063 46622\n30817 75782\n43034 49613\n1541 98379\n2528 5371\n36933 54911\n26077 37810\n20364 39782\n49288 94206\n27132 82384\n11718 98373\n29563 77472\n48166 66691\n53244 64017\n45389 68982\n21884 38172\n43032 55390\n745 82363\n23879 24581\n54017 72209\n24416 87499\n1766 37229\n31134 64264\n38119 89644\n40820 42517\n21029 42392\n37103 51312\n22221 56657\n67344 88299\n74505 87436\n15082 63669\n23369 74274\n59984 90195\n25105 79536\n27491 78143\n78578 89349\n4571 90405\n45958 56371\n23422 85248\n72649 78655\n30114 37339\n40573 66356\n9509 97782\n41588 94254\n39172 39666\n46991 71206\n40594 85085\n13925 91524\n18659 68615\n32247 62913\n6794 9195\n30715 74475\n32195 85386\n69058 85514\n21744 93468\n14554 83287\n14305 54403\n32028 92654\n23578 57708\n22820 48051\n75868 97388\n18434 75677\n14112 16722\n16988 54539\n2524 31263\n18160 67510\n26679 26924\n3934 5809\n37309 78232\n74384 96626\n16647 86623\n9132 46417\n3955 80870\n305 92068\n48614 71325\n48186 81754\n14145 54764\n10615 22312\n747 16082\n1741 23823\n61109 99636\n87999 98685\n69877 95776\n88544 90014\n29931 52291\n12140 16246\n71222 98509\n70306 76615\n10327 43635\n21745 78017\n35126 69994\n2280 98863\n12463 88768\n33501 54785\n33541 77384\n36021 89810\n34958 64101\n10004 16736\n33447 61207\n6108 98572\n28007 72360\n10 86300\n24067 70837\n32667 78949\n9298 21509\n67950 91137\n12711 70899\n1740 68700\n17457 66901\n8348 60128\n16161 30925\n47879 78820\n3508 72498\n27848 74210\n8894 26748\n3132 72319\n24311 47512\n49556 64242\n13423 59793\n12776 70339\n62167 71283\n92832 92867\n35896 52013\n54855 83908\n29459 84674\n21743 54122\n22092 35225\n14314 99501\n79268 98910\n76054 81614\n27728 95007\n22058 92523\n73978 80971\n67435 89609\n9572 42454\n12888 45376\n43563 57363\n22558 29410\n11967 42989\n14183 17869\n31554 60216\n4769 84485\n26419 31594\n470 10792\n74195 75963\n8736 15063\n72558 93911\n29761 57017\n68947 83463\n63981 80294\n22888 72410\n32324 74846\n65825 91184\n333 56752\n54568 78785\n24662 34123\n2824 22670\n8564 32249\n75683 76568\n11278 36679\n4193 53446\n18230 50699\n19792 27636\n71242 80473\n1528 80168\n74001 98863\n91450 95312\n69241 94152\n321 63056\n37820 88764\n62636 64933\n44217 72205\n32604 76733\n58078 90200\n43702 88621\n63018 92950\n10260 81703\n21268 93824\n11588 38691\n76388 80719\n17751 40795\n8289 57442\n29457 62989\n15589 84003\n34594 70260\n2407 71880\n69408 89705\n61467 89212\n48783 61699\n5129 62944\n21056 28540\n7559 45743\n1287 73721\n2658 51423\n40345 55652\n59672 93414\n17930 78637\n7087 97021\n24930 48040\n30929 93603\n3312 83657\n34283 76976\n59469 59646\n55394 93187\n42601 92970\n86354 86937\n3610 83895\n11627 21851\n39363 94680\n5207 53640\n2038 60329\n37753 98587\n8864 72565\n23099 77786\n43791 80806\n38690 72301\n28469 83647\n46743 60294\n74868 90225\n51880 59096\n70135 73254\n33860 44036\n63262 79280\n1758 67931\n46225 85498\n25462 27923\n93287 99023\n13159 95429\n31374 53698\n87640 96240\n56412 57180\n28882 97318\n65919 97458\n52867 71438\n81546 82985\n26323 41347\n58022 75656\n73315 93749\n2288 10151\n39788 92403\n27155 66431\n42362 79876\n55969 94531\n51187 81018\n60825 72982\n38653 45338\n28203 45188\n11463 34139\n5454 84225\n50367 61365\n61176 66583\n20885 26012\n6149 13626\n54876 57932\n17507 84189\n72275 86486\n1651 64040\n7384 98356\n15987 16084\n48309 83630\n1901 32741\n17886 20997\n48285 77582\n36230 95920\n34097 39494\n47586 56701\n4531 71769\n15898 98846\n7326 9245\n50829 74287\n82238 90297\n22109 88361\n28077 41877\n4648 93499\n87166 96302\n60083 96243\n55812 94946\n29488 92751\n44723 67687\n1763 67262\n18765 66336\n30788 48436\n24622 52669\n4284 42954\n1628 81936\n42173 79620\n142 67085\n44763 58618\n81698 95962\n43943 63083\n75034 76816\n13228 27537\n5952 11224\n38742 67148\n22853 26189\n68483 86084\n46028 54562\n5548 30632\n62528 70829\n310 83901\n15148 23837\n21679 63564\n5013 70196\n26736 61919\n27864 31499\n88301 92975\n65921 80332\n1903 71833\n11471 18242\n93631 93735\n28857 86934\n28167 70838\n66790 86390\n1583 56580\n45116 49369\n17270 96665\n61602 84027\n70106 95288\n10823 50086\n48942 67408\n27956 44110\n30285 98185\n3978 45184\n52335 61873\n39862 55498\n23074 67604\n83814 88922\n14045 60588\n46904 60887\n64068 74157\n67662 93032\n55304 81559\n33148 91347\n81419 91526\n21078 99106\n69860 71012\n30064 77566\n40148 69806\n811 52529\n27316 97493\n23816 75989\n29517 57991\n37564 75555\n35313 79212\n30504 53223\n26266 38775\n49634 52025\n65567 81501\n42130 71760\n71520 80574\n10303 64144\n44605 57240\n11859 59726\n43387 61402\n11582 12623\n57955 66761\n56384 98700\n22218 78117\n18297 81212\n7469 40897\n69629 76004\n34778 66230\n36009 37451\n17673 86177\n17862 37101\n16033 82181\n64112 92070\n7708 10655\n26032 49933\n37834 83244\n57952 86727\n19846 82826\n11300 19023\n5096 92168\n75076 78419\n3459 27695\n16190 58483\n9730 69222\n42170 49667\n10709 78869\n55511 58090\n1271 59092\n73043 90343\n20051 35691\n34098 82202\n23068 80062\n52465 80689\n8930 54964\n88624 92094\n5153 69183\n34924 45362\n8697 23866\n36651 55824\n24862 65299\n65075 81308\n43717 54102\n33957 60810\n45270 89737\n1749 64700\n42281 67943\n35725 69300\n34632 41273\n37820 88242\n28969 72980\n23685 57072\n62548 66469\n54303 54747\n21374 42183\n44984 60708\n9198 19224\n7350 37596\n11870 85487\n13376 16021\n30246 91684\n39846 48302\n33091 94660\n42990 83811\n13435 70874\n2868 91662\n4330 62976\n12114 87559\n32792 36163\n38195 59286\n15571 86053\n5672 9090\n61673 86359\n25761 31215\n5363 79866\n92351 95978\n32973 49422\n87690 91195\n76280 96163\n27322 71672\n11178 12160\n80313 98011\n63227 83139\n27205 80634\n24513 31136\n37886 90224\n69110 92032\n16633 25780\n1357 99439\n18881 24880\n31653 90907\n5448 85276\n12452 28440\n4695 55320\n55005 78252\n28944 29354\n34166 87497\n3952 68844\n58146 68074\n532 3874\n9806 33544\n86928 95176\n51313 96837\n4651 78667\n15407 17102\n19256 63898\n23081 82763\n74724 82064\n60463 94714\n46225 77010\n66530 97111\n32500 62523\n82062 83474\n34375 51566\n10108 81902\n32506 46723\n23330 92617\n73988 97184\n88043 96737\n81040 97549\n5779 56950\n32919 78825\n7094 35066\n21936 46458\n49981 71012\n41567 65588\n43261 79843\n59998 97427\n33292 37796\n12512 77309\n80608 97748\n60299 87602\n57143 61550\n71059 95415\n51799 99856\n18026 44960\n23730 58401\n12742 86677\n32235 91453\n9896 15293\n62192 97140\n4891 59348\n28998 97374\n68959 90796\n38955 59814\n76325 93493\n61632 99095\n67550 74334\n1432 48291\n45210 92888\n15900 53926\n20825 79707\n13547 88336\n23533 27984\n52233 97122\n18290 91679\n23804 98921\n38402 59272\n23226 63000\n41251 85740\n95444 97977\n32858 62193\n16437 22694\n5 59225\n50206 55533\n18946 89300\n10291 54608\n1731 70725\n68584 84994\n12518 48355\n6918 34935\n1448 8309\n86092 94151\n8368 35547\n1148 75678\n22338 62900\n16210 72530\n15018 43550\n8216 49671\n60364 87132\n33754 34454\n26831 61894\n41940 74943\n16037 52349\n9197 70503\n10841 88861\n34173 99162\n24878 55755\n59829 79933\n48523 89417\n18552 58507\n68051 72527\n10616 75591\n34302 64596\n24079 46305\n10294 62284\n70438 88135\n37747 88645\n78515 86265\n45360 59317\n12990 75538\n50963 91140\n7577 11071\n37578 44345\n44611 91847\n1120 80883\n25439 48994\n58578 67885\n22588 38758\n59204 71243\n10647 13504\n58114 72386\n31774 73999\n21525 99637\n61478 66247\n7251 41487\n54799 85233\n1303 43238\n78596 97079\n1035 75838\n65263 89496\n53934 63983\n19237 85979\n63517 91555\n6899 10998\n71042 83889\n1999 78901\n7975 95815\n14341 76220\n26592 88300\n15849 22872\n76444 85935\n24738 95159\n43472 57174\n18021 29504\n8368 45653\n55486 96938\n64669 96855\n47497 65495\n44431 94128\n538 16444\n28076 55122\n36151 46790\n2158 22296\n15355 47667\n23095 81043\n33840 80200\n36667 57127\n18888 74054\n10687 93044\n13439 26610\n84050 93140\n11468 51812\n8042 67220\n51415 56118\n9087 97241\n41972 46644\n16092 70351\n7101 73958\n49948 81139\n14973 63913\n46056 85108\n58697 81630\n26052 96156\n76633 95951\n55164 56973\n1911 84791\n19169 97253\n32834 64353\n55086 66496\n43430 73600\n10479 11523\n53006 82820\n24890 58752\n62234 97715\n87045 94282\n11774 68947\n34698 95873\n7441 60183\n21181 94657\n46905 47636\n615 22158\n31343 41653\n7832 58103\n25981 60362\n33956 95214\n60499 77212\n7371 33830\n7542 78158\n15429 92831\n19505 34214\n19475 81478\n51214 67606\n6768 50968\n21361 53269\n62357 78220\n12339 33653\n22470 41565\n12013 25187\n2485 3052\n80889 94979\n72352 87416\n27311 63360\n4216 58173\n36553 50692\n33170 43934\n1521 79173\n23276 46038\n50415 56545\n4515 73177\n54638 80902\n37152 69185\n47206 47839\n40743 87076\n40166 73746\n64340 92131\n66911 81605\n12527 34395\n47316 68931\n55086 91344\n61119 82698\n24986 84096\n79278 81377\n54984 89117\n2165 17782\n38046 48742\n63940 91256\n16028 35430\n6298 22386\n31635 69929\n70025 96527\n41502 59087\n65238 93948\n86347 96848\n15483 28198\n39675 41932\n43828 99232\n33285 48655\n32270 45190\n37732 41642\n47749 92657\n43633 59133\n50326 89542\n22748 87281\n88900 99443\n55560 69168\n25094 40476\n35097 49348\n21377 93453\n62265 71872\n66285 86792\n14268 83516\n4279 5838\n52875 64783\n1045 53684\n79783 85651\n19607 84763\n87918 99556\n8915 17561\n37733 55669\n61536 81530\n11818 54291\n34954 76920\n31860 40883\n54491 71630\n31621 42807\n2778 91187\n30967 83845\n40131 55466\n23342 64572\n14861 30575\n1318 26742\n74198 74256\n14285 61084\n77939 78200\n35987 91002\n23645 76455\n41542 71737\n46274 97159\n40417 51137\n70590 76991\n41676 76164\n53173 82514\n19932 35412\n921 16646\n6760 46612\n12659 79739\n15798 28310\n5629 48543\n33754 64016\n76300 96207\n48334 93502\n13308 27418\n20355 86345\n64540 67080\n91564 98173\n17784 95477\n14453 71098\n3404 67331\n33632 55885\n20260 20283\n42788 68375\n14444 81133\n71647 89961\n13538 94973\n1245 78376\n62528 95489\n24121 74611\n28493 32185\n45019 79619\n14061 71799\n17343 38337\n87998 98828\n14417 83347\n41409 63453\n46155 57967\n23439 90217\n63485 69385\n51391 51654\n9138 12863\n48028 80175\n16993 56833\n56352 95830\n4736 38952\n26817 50997\n54519 54826\n1372 18643\n31143 95079\n10354 58121\n6849 91362\n39681 45684\n50365 84799\n48878 78450\n36154 87191\n79193 92637\n46403 85980\n10783 79787\n17426 55387\n30794 41600\n77575 86725\n3037 63632\n86504 92689\n10806 16797\n48852 79462\n53023 64994\n25883 87991\n3871 90840\n34314 35979\n9799 98189\n60726 88868\n32278 74893\n9841 32328\n4121 57496\n19134 36040\n20324 45029\n59773 91165\n29441 58324\n29864 56208\n32136 59058\n40980 53420\n1721 88728\n14933 67015\n15197 57725\n32171 37445\n51353 72860\n11409 22171\n51978 55315\n42886 93554\n14962 37929\n9058 52237\n1945 95263\n79066 96932\n19715 91058\n46325 48161\n37880 82048\n11993 51976\n961 13854\n19880 25399\n6936 52092\n14142 18004\n3526 66736\n38497 53248\n11570 53385\n28234 62456\n61538 99302\n49161 68288\n11340 28426\n5598 49407\n15482 74428\n54979 93617\n35741 57420\n24323 83268\n40270 70237\n36779 66189\n32876 38837\n29656 90024\n3402 94754\n22182 99242\n57984 60215\n56786 80488\n58598 60201\n12792 68193\n12583 32068\n54443 56867\n14791 50208\n7151 43609\n76415 90173\n59598 70837\n46024 70715\n33620 53824\n17689 52957\n34205 53819\n41535 82141\n68628 85016\n4837 51964\n25194 74848\n34831 74749\n46287 71100\n2258 6497\n75870 86931\n50666 91070\n37890 76567\n29978 85728\n70948 88259\n40594 92990\n2476 66477\n23045 58845\n20388 28642\n8810 54046\n70477 77250\n49753 69515\n19606 24033\n35564 52365\n6946 79945\n78765 96938\n10601 72841\n4349 26407\n6374 34421\n39699 70169\n85276 99194\n16481 95006\n12132 53168\n75438 87178\n72170 99349\n60487 73039\n3103 7846\n53990 74941\n8059 15307\n25316 47468\n35153 91650\n37660 97235\n24670 68215\n41622 53744\n16077 56870\n56476 60131\n24557 40890\n32778 64712\n17675 53096\n4512 5406\n26564 68564\n21163 72044\n2854 5482\n42124 68170\n41952 89689\n33517 83597\n55687 78064\n47718 49632\n35216 84538\n3184 16125\n16664 56813\n16990 50534\n51912 62008\n36793 51087\n21895 70470\n31138 66603\n1046 32368\n19260 49101\n51488 99037\n32609 83878\n18046 82216\n13839 18210\n41194 50049\n13269 77565\n19969 42733\n2611 37252\n50897 98005\n56364 91753\n21745 78984\n8050 95395\n41059 67008\n47448 58880\n23477 78464\n26381 50983\n836 90906\n41174 76663\n4655 67723\n51511 67274\n10268 90849\n58046 78925\n50661 77778\n42910 96505\n14700 17200\n45733 67934\n22552 95894\n59329 92946\n74944 96865\n4004 45172\n14362 54403\n59774 77148\n4757 44015\n9151 32232\n34909 91251\n1000 64778\n38177 92089\n20034 51804\n65964 89181\n37400 93766\n22287 78531\n53459 73123\n38301 56284\n18625 51446\n1383 54141\n22651 59168\n322 65653\n10458 52987\n50560 93128\n33344 52061\n2541 6642\n95994 98199\n36942 47227\n18113 90720\n19736 77802\n44171 75263\n70965 98752\n17099 41467\n10637 74956\n38367 86992\n21049 60318\n60424 74944\n244 7558\n73339 78379\n17089 63865\n15154 19535\n44499 72755\n94630 99678\n91536 94954\n80108 97406\n34974 95385\n52218 61397\n9763 53455\n20726 95455\n35050 42173\n1551 37251\n5890 49012\n28140 39580\n17031 29284\n15759 68782\n15002 97601\n11128 73685\n24267 29132\n8412 57420\n41480 83277\n45441 47371\n25302 52611\n24128 51849\n13622 58863\n4746 11689\n58819 85695\n12485 75354\n891 19643\n78937 81394\n30243 49178\n43336 47795\n15461 36508\n8221 55001\n18829 72217\n47496 83107\n71500 83714\n32195 59098\n35738 68710\n6757 57091\n45445 90763\n20638 87313\n19512 61244\n27364 85234\n75926 81339\n33556 92772\n32922 76125\n17310 72655\n22925 90686\n2817 40806\n22007 27224\n10018 23825\n11733 48865\n12214 94938\n44978 96232\n58003 65365\n71221 73164\n60022 81177\n86551 98224\n51460 90499\n13 23482\n73824 95693\n74833 78203\n47752 74091\n22654 84732\n20874 44706\n20812 71382\n4927 78931\n5300 19659\n84845 93852\n3105 34017\n1552 34865\n37907 40096\n34309 54205\n42265 94674\n22958 99393\n74976 78399\n35299 92631\n858 61276\n77541 90411\n1513 40687\n47185 81133\n35013 77839\n37455 44438\n56404 88834\n55326 92013\n31269 43893\n26151 73671\n34762 99999\n18481 36927\n9238 55615\n82453 97974\n14005 72854\n40261 49013\n10403 17784\n3150 25474\n7197 33536\n17678 71888\n14527 17555\n41420 80354\n6420 47240\n46724 77194\n48943 79939\n29426 75620\n18277 70685\n50630 97515\n49624 97415\n2381 95454\n39195 52134\n61565 81641\n12647 59433\n58200 66459\n18052 95310\n6234 14998\n17046 96101\n21556 34882\n66301 79287\n16705 90296\n15774 30325\n54366 76760\n52502 91714\n25204 43419\n57127 95520\n23823 31470\n35418 82757\n17598 91380\n23319 40070\n32032 35020\n40444 46062\n79335 88430\n22374 28076\n17501 91891\n49 51371\n14974 92562\n42383 69546\n37258 42604\n9200 77223\n4598 14562\n36965 83146\n24044 40437\n24276 56068\n24406 69194\n4974 12204\n72108 97289\n10280 68134\n64586 66608\n11153 46817\n30515 58772\n5566 13004\n18868 89952\n25295 68049\n49174 76058\n11680 38306\n5500 32168\n57788 71230\n57123 91469\n72162 87075\n21635 22125\n29735 75945\n12708 18083\n14840 52888\n65634 68983\n32970 49757\n48958 52201\n27818 35787\n3932 79912\n73446 95428\n13200 91020\n12922 77635\n2240 8112\n51247 92522\n26316 59091\n4135 84092\n6186 28583\n12698 59540\n44625 58996\n53245 84407\n4602 40921\n47928 97911\n46399 75718\n59648 79852\n28765 49069\n27086 78912\n40754 91991\n8723 44463\n16324 47441\n26151 46693\n42215 97858\n38995 41489\n36197 61043\n40790 51456\n6451 57880\n37035 54034\n29986 42310\n33399 43949\n10389 20748\n8710 51589\n36151 66677\n21497 62168\n13172 62869\n7774 9325\n23108 92036\n23046 65886\n29559 48125\n12898 20223\n72976 96401\n28243 30868\n6111 52760\n91577 95257\n54209 68185\n78519 93784\n50738 55110\n393 57661\n63988 88221\n52850 78923\n9306 60279\n12845 97488\n42461 98809\n3722 51571\n31551 86403\n19268 32748\n4505 52434\n12992 88580\n20589 21281\n49231 57223\n59679 88491\n41626 81155\n84630 96474\n26369 85057\n10959 23008\n11310 64965\n27787 58204\n1505 70459\n6717 98738\n3807 39026\n23268 52932\n7451 19433\n32466 89037\n31670 65818\n19819 43233\n67355 84069\n48872 62604\n3217 92187\n83830 85507\n70299 93375\n6351 35197\n87485 97366\n12167 74637\n42798 63963\n9515 77364\n46945 82420\n40052 94371\n74736 94038\n66337 83449\n63128 93896\n16622 38744\n59659 83621\n13475 46523\n26462 52710\n7754 81381\n28565 90770\n36966 42468\n38351 51888\n26691 96773\n13013 53118\n71469 95434\n9401 67803\n18831 57675\n25659 91579\n5811 30764\n7168 16007\n76252 80557\n1759 99020\n9693 98502\n61058 81834\n39418 94611\n15156 89687\n47470 67766\n41754 99987\n9662 63117\n60633 87210\n3154 50436\n46192 95558\n27347 65369\n11449 66469\n78783 87181\n14720 61034\n43553 96214\n37683 83661\n33662 55053\n35191 38136\n22193 95088\n7339 59864\n28960 58455\n57995 79159\n66224 79244\n500 52283\n750 20709\n41904 96105\n19096 68211\n4205 55572\n45106 94406\n44208 91075\n43921 46593\n13048 45542\n15036 70964\n7331 58634\n19399 24242\n25345 65323\n24770 29562\n29985 33482\n53916 74501\n7293 33986\n66643 77709\n30903 58740\n58698 84527\n9677 58460\n49266 91498\n56975 80805\n2204 28531\n76641 97996\n10059 48308\n33390 77064\n21740 85895\n68551 92352\n27086 68548\n37894 71768\n30796 83776\n57555 60371\n11359 37000\n12890 28877\n23789 80354\n3527 72822\n37338 61158\n16876 83287\n22917 58232\n38259 61267\n43112 82372\n59384 70113\n33553 99500\n14611 89546\n48547 50889\n49089 62264\n79519 80529\n79230 90947\n19377 32343\n33524 46819\n47468 84858\n6386 92484\n8112 41762\n13827 26606\n31717 94145\n5636 26253\n23639 59996\n9964 48891\n9830 45004\n11583 27002\n41790 57624\n13298 41382\n49020 94847\n32526 61028\n63938 77518\n63416 94198\n5709 9547\n5472 66157\n19250 70879\n90780 92197\n51395 58933\n4412 37545\n23803 36851\n19707 78909\n19179 70354\n25073 62519\n20472 52446\n43919 72003\n15064 74489\n6048 85302\n14749 86284\n8678 76760\n13938 35924\n33339 78738\n44870 94773\n1288 23928\n80731 82270\n35866 46570\n27473 49849\n56078 79893\n24453 29099\n55842 91772\n24484 59667\n51829 57052\n8591 29046\n27034 74749\n29240 60348\n50666 85438\n5047 14224\n93216 98779\n40303 79916\n56756 88554\n29735 30349\n20582 78428\n6824 66242\n37157 83943\n22066 42614\n84249 99676\n76091 92569\n5722 74944\n54646 58002\n2629 34364\n45193 48867\n3278 92619\n46275 56188\n1173 98665\n48087 82724\n24466 59061\n14265 76817\n48825 73395\n26090 91040\n28504 43778\n6200 69458\n23073 47482\n511 36965\n16627 44490\n66568 71076\n16479 16647\n69179 94038\n65896 99993\n20833 85609\n59293 92967\n53425 58557\n36226 59440\n72060 75311\n34975 43036\n20959 72285\n26899 91165\n12117 54694\n19490 90006\n12256 64153\n1678 49078\n5969 44987\n40364 89416\n59388 93820\n48069 64674\n48167 80555\n61717 67268\n9362 54944\n21138 69743\n80144 96304\n70370 79370\n567 94496\n19907 70351\n43088 51247\n24373 56078\n79481 84093\n11955 80264\n29705 36879\n7632 29176\n1823 59972\n6497 87315\n53156 95904\n14177 67445\n69773 75967\n83975 88459\n23493 91906\n50949 77821\n20811 49360\n24057 39646\n10237 52226\n8579 82174\n9645 30533\n26131 98706\n19601 56968\n47002 66891\n23690 33953\n10376 22803\n50578 69548\n6765 75623\n79907 89784\n49273 59304\n18477 85065\n14955 24629\n12506 59698\n8039 98646\n75457 99952\n54679 76563\n18933 38590\n2705 39031\n3505 74691\n71887 72117\n34917 98530\n44267 71279\n25684 83114\n915 71219\n26200 40848\n55639 91200\n44131 59131\n55239 87462\n7700 18451\n2445 70324\n69009 76136\n26800 69027\n17879 42353\n11906 50929\n2565 71423\n51801 81474\n7696 46080\n76655 76918\n5709 19382\n1988 80947\n64716 85110\n28662 63355\n7768 63008\n20284 24826\n11985 65078\n41060 82456\n11682 35557\n79332 88911\n28989 70516\n30412 78970\n12414 63588\n71869 90980\n60636 89976\n1351 61703\n44803 62524\n58146 99733\n15156 54450\n66360 81640\n74264 74932\n52468 73503\n35538 64385\n31591 76042\n29316 33914\n7640 83556\n18100 99199\n26128 73719\n32139 48242\n29317 71662\n5266 16142\n26402 66313\n56874 60058\n50557 57682\n21753 64370\n17991 77598\n40924 56131\n21165 47790\n7681 39747\n2046 90552\n30280 48213\n20422 60313\n45213 67682\n6020 11371\n78393 96798\n7167 54804\n55703 96550\n47306 69239\n5876 16385\n19767 67546\n44227 69459\n44998 63160\n40583 67443\n957 10507\n76117 96084\n42190 99034\n16182 93902\n45496 66509\n60078 71463\n63291 70034\n10779 76054\n65730 78291\n43563 52292\n47697 48485\n7066 45887\n3717 26446\n20372 65691\n93233 99347\n39747 84689\n50195 62737\n22973 91634\n37792 75615\n58923 64762\n56340 73952\n4987 41880\n47324 80396\n31961 62361\n4316 70360\n51988 85927\n34430 43101\n32627 56501\n90831 91202\n17725 44703\n42881 93623\n26191 27948\n200 33064\n65461 84548\n80308 83983\n41624 44431\n294 11582\n22354 65479\n30862 60934\n83242 96991\n15976 85834\n38645 75673\n61853 86073\n16405 42689\n82173 97754\n59242 72599\n42497 76538\n23580 67919\n53701 59022\n12741 77511\n12503 99799\n10274 46373\n68239 90730\n34605 67061\n27076 92147\n50777 82825\n6563 55066\n15543 42966\n48171 94250\n9277 70917\n39445 92020\n65543 96099\n52939 68844\n39376 68094\n27834 50332\n26806 36310\n10736 99335\n23984 31090\n39147 77578\n34047 50866\n12476 17358\n17944 78538\n32878 84615\n37934 56628\n30727 79729\n25461 46747\n17323 77516\n19662 91327\n56888 75885\n3382 58694\n7197 37759\n28435 83931\n10823 95513\n52711 95633\n19521 86368\n29093 90802\n2947 11594\n39401 89187\n38459 69807\n24727 72258\n82405 86887\n20086 27733\n16045 85867\n6560 70146\n28137 78619\n56488 73606\n559 9971\n3748 66041\n34944 58002\n24122 45813\n21433 99243\n44706 95373\n2645 33574\n27869 41693\n54885 60817\n7944 57613\n44466 82906\n5460 62593\n42904 83282\n22521 65784\n1483 59021\n233 81325\n6594 63667\n2780 24136\n12806 50977\n27781 58189\n5932 77406\n3730 83665\n39497 66332\n47412 65817\n7471 40121\n60613 74383\n40222 79098\n25788 62878\n6638 71070\n55913 79269\n24611 62765\n4773 25217\n28170 48138\n64153 81215\n57908 90649\n61636 71313\n48165 92217\n39708 81798\n17527 89976\n66489 80121\n42653 52702\n7442 64403\n17547 62839\n26916 52180\n61600 89145\n9230 87544\n56605 58064\n15039 96777\n68384 88318\n9141 39324\n3762 16523\n50741 97642\n5914 91357\n47611 92574\n49892 99587\n14149 94673\n18594 50054\n64716 81356\n85105 94634\n41638 59770\n29023 40740\n25636 68714\n25635 28728\n34497 37800\n60643 68790\n81269 86959\n48062 60258\n33604 97173\n27321 65205\n72643 87736\n82532 98121\n15822 79013\n41553 60508\n10882 83449\n68163 95202\n15512 48636\n37089 65032\n88396 92821\n16369 22885\n30627 35903\n24260 35381\n45097 71868\n10483 45401\n14051 33980\n1381 72191\n13523 69606\n52488 80292\n7334 71156\n23231 30087\n376 28356\n5196 17780\n33971 47441\n40050 53576\n4861 90328\n10599 52621\n35936 72460\n68125 79163\n28681 58322\n17780 19164\n12929 70994\n50147 53608\n5141 31045\n7194 64370\n42818 47452\n17780 67432\n6611 72334\n38174 96298\n80465 85832\n18799 42946\n40624 52640\n57178 64356\n16844 41161\n5527 73980\n31513 33344\n9637 77148\n66283 78548\n39638 68259\n29374 93980\n43019 87003\n38683 54942\n9540 77298\n85486 97004\n18101 73976\n22474 27237\n43229 96765\n56162 57723\n25441 27578\n25643 37219\n25834 84457\n19128 64650\n48364 83361\n64680 73774\n29170 71207\n2328 24045\n16544 34518\n15152 54773\n24787 34724\n23819 70192\n51493 68671\n54340 76484\n13071 83767\n5042 22900\n37124 53539\n22772 90495\n10431 57055\n2287 51586\n10643 51618\n69535 77084\n8521 62453\n44677 49437\n24133 51591\n18434 38424\n2245 38963\n24419 58896\n21982 80178\n1295 60579\n28630 65295\n74395 85007\n14977 79538\n57507 58953\n7670 25126\n41811 46162\n49997 91439\n37919 66705\n34628 61573\n24723 40800\n52699 65664\n30395 30860\n24594 50711\n14313 21016\n43996 48948\n1796 6198\n70300 96651\n24918 29531\n13616 93019\n62736 78899\n47658 94099\n52820 61668\n88943 97187\n84029 98170\n173 80816\n6880 47825\n8205 32967\n213 82216\n7451 9728\n61757 83268\n44774 74047\n25950 98553\n53517 93423\n32032 57856\n42907 89683\n12434 14168\n239 44782\n62073 72945\n23836 99459\n70036 93634\n43985 50257\n79774 84705\n69750 95638\n82523 94921\n47566 65092\n6462 45256\n4401 58081\n29975 60583\n57939 59453\n63927 69152\n11533 22652\n52491 92517\n10513 60985\n12261 76936\n16978 71981\n31167 46438\n75998 78680\n13798 86902\n11022 20127\n23047 98109\n25842 62448\n4263 10795\n15293 63116\n26937 52138\n53436 95048\n58634 63375\n12886 41627\n10462 41038\n15124 43900\n33895 34401\n11702 45752\n44179 95963\n18140 86350\n10874 64022\n65052 66340\n91029 98666\n73130 86806\n3837 53485\n81599 93702\n37556 79734\n70847 81225\n52793 57384\n9823 55262\n41243 96175\n20232 71823\n21198 24859\n52362 53086\n63800 82559\n24128 63581\n11268 58033\n67527 88147\n10039 44675\n53896 87902\n5634 8924\n39070 79777\n8179 91063\n53651 76699\n55892 97599\n20926 98415\n75092 99429\n13459 13681\n27379 57059\n71773 97589\n41028 76808\n27884 60273\n59954 79891\n6098 50763\n19728 92674\n71982 81998\n13488 72270\n21862 33095\n3505 52195\n77470 90756\n4381 61657\n37761 41174\n84722 93483\n25575 79701\n78080 78197\n55482 77394\n40574 90508\n6513 95030\n68665 68705\n38067 86730\n9673 71090\n36917 56536\n39361 46750\n64611 75201\n49266 98599\n1654 58317\n38179 71183\n29539 52281\n92896 99736\n13953 47436\n23344 53820\n14649 64542\n45417 56069\n11151 86628\n25345 69717\n7931 44136\n98028 99253\n3731 43007\n54885 93782\n14703 68322\n11697 89869\n81302 89047\n1267 47136\n42785 42913\n15186 81028\n55323 96429\n10457 49745\n16788 64813\n12798 36449\n56435 61017\n2403 65373\n21229 25368\n17512 26345\n27898 59175\n4781 39588\n4125 91684\n46262 93658\n26866 31944\n9915 74312\n16624 25492\n54615 95000\n11550 22868\n59155 68131\n9457 17155\n39280 98970\n27337 62427\n2882 6361\n64668 91522\n39749 70673\n8410 87983\n43225 59754\n5439 65169\n24425 86403\n62588 74459\n96350 96456\n24021 76772\n9130 87784\n55537 75575\n16241 33252\n54890 87914\n2883 80093\n21359 88016\n60347 79010\n46611 82172\n27465 78493\n49655 90539\n73198 81748\n7161 56508\n1188 96435\n35849 95057\n15648 98228\n43637 92273\n62316 76372\n6243 33655\n41307 69273\n5184 95712\n70656 81237\n33869 87587\n97435 99317\n22817 44991\n72053 75033\n47838 85520\n439 9479\n94695 98670\n30594 48252\n36483 38836\n37375 64361\n48188 88220\n6373 60498\n32652 48048\n21729 99829\n39478 89056\n84662 93785\n251 90898\n46036 81581\n21678 45870\n6319 44936\n1218 69723\n46164 71719\n37694 42616\n2065 80179\n37277 95752\n4730 77042\n49924 59706\n80818 91275\n40779 94413\n23919 82771\n26963 43394\n20150 97771\n57161 63853\n74056 93170\n26642 58440\n57939 96312\n15609 43126\n51340 98060\n58071 75464\n28708 97572\n19816 31404\n9023 95626\n20208 58899\n31585 95486\n11360 69940\n43696 69533\n50407 79689\n11000 69676\n27901 48984\n4766 56144\n61975 84865\n17156 67165\n3035 58733\n54580 59697\n47563 70467\n71526 95198\n55285 67445\n38191 57706\n11091 14348\n1524 73656\n65084 94252\n36851 54682\n37321 93327\n24889 40401\n9585 66941\n60602 87481\n82491 92852\n1213 44213\n9444 41935\n2979 59720\n43494 52070\n44599 90364\n29897 59600\n27772 94973\n36346 88312\n69784 75070\n74026 92025\n59240 85499\n60480 68587\n62565 64868\n45689 53757\n20838 69350\n41052 74459\n49374 79896\n7598 46861\n77335 80572\n17880 34679\n2725 69057\n54455 80406\n12920 86665\n22877 62433\n43115 81003\n4309 36573\n12823 71118\n24306 81343\n4410 65205\n301 49962\n72472 77819\n64719 65384\n57169 90617\n81021 93655\n76297 77352\n74357 78445\n4971 60932\n41791 43665\n4429 83298\n30844 55592\n28058 63081\n27626 32590\n33809 37317\n6875 44322\n27034 82027\n9974 19176\n8850 38597\n85449 93702\n51731 98649\n11405 65791\n74382 88364\n3648 92031\n66694 66982\n38879 99271\n2972 29178\n4843 96514\n14179 56041\n8047 38976\n14456 70546\n34612 39735\n61804 81078\n11654 91063\n35030 58318\n33736 58678\n63185 82675\n44420 86984\n25836 39501\n58641 60215\n28051 59584\n46575 50237\n361 56282\n15189 48334\n68197 80438\n17770 18680\n71046 92034\n50570 74393\n63664 82322\n55418 81250\n23390 78442\n68832 78563\n3676 86363\n1071 5321\n6684 67897\n74505 89996\n59323 99294\n3493 89487\n26494 60937\n58394 80779\n23419 90024\n55289 71512\n1193 35560\n33494 72422\n7501 66041\n3868 24501\n93926 99633\n5700 58091\n24001 54404\n88136 98533\n44893 50244\n33252 90358\n51532 73520\n89290 90837\n55369 81088\n17000 44237\n28303 36527\n58626 80680\n41032 99775\n62827 97465\n12385 44464\n51056 72909\n46701 90541\n19678 56585\n20862 34750\n4338 77241\n21512 23291\n8312 14721\n78728 82688\n55582 93614\n11470 92048\n32552 98042\n23364 85453\n51527 64498\n84358 97651\n46334 83490\n97015 98750\n45623 48211\n61397 62268\n37593 45985\n11106 32763\n39267 54645\n1298 9139\n25205 78807\n16424 71349\n18071 75702\n20094 56096\n20368 59104\n56450 67948\n1502 17826\n5692 82382\n26771 89587\n29399 38096\n33140 34404\n16184 87984\n82121 87060\n12252 18896\n52924 54948\n66394 94344\n7709 85335\n55340 96360\n78634 90318\n29482 83694\n31537 60829\n29177 76650\n54620 78590\n1285 81141\n9244 15247\n4845 39069\n31696 94100\n5804 64991\n40525 48984\n32052 50277\n19259 72956\n12923 81161\n8180 24926\n24385 44119\n23167 69831\n36776 63426\n12321 32115\n38027 91164\n51083 96835\n8515 17899\n45794 52865\n67698 92253\n33453 48482\n3199 51170\n73258 74593\n3340 98614\n22074 63715\n38855 50496\n21544 81470\n40342 82066\n2034 92704\n6203 99433\n24747 39348\n4585 75914\n25597 91662\n28368 64609\n6174 29985\n4209 48722\n3480 9018\n14868 37508\n48442 96340\n30664 77744\n13352 64223\n75608 87061\n75225 85567\n58645 91212\n37216 49145\n2051 44172\n39184 96996\n24668 45478\n77269 80016\n5566 55495\n20505 77719\n73520 94898\n7487 39255\n23715 95529\n14956 64996\n85819 97826\n32579 81625\n14536 60861\n63463 92406\n48963 81819\n8531 81196\n14382 41817\n67199 69648\n12211 63436\n42227 65780\n34581 74736\n20518 51925\n82082 85719\n3214 6291\n22379 46413\n51256 63336\n42631 70715\n1983 71516\n8496 95519\n780 8317\n58068 62501\n66250 89025\n30960 84876\n93476 94669\n9958 35773\n62411 77963\n71186 92711\n56528 72519\n82218 97547\n40180 88543\n2298 23800\n16046 82765\n38984 53508\n30444 88699\n30582 41367\n51647 77036\n70978 93646\n9683 39917\n15343 69591\n65272 72848\n33907 64438\n39729 73839\n823 49903\n31247 83689\n48676 64842\n37011 58880\n79668 99720\n29512 67560\n17327 51574\n24876 31520\n2453 36424\n16435 54353\n10491 63606\n16395 46763\n2360 35532\n36227 90865\n22957 87322\n64299 92497\n6274 74349\n17059 37731\n63990 82462\n24905 57828\n15800 27615\n4816 22683\n29336 31889\n256 25974\n34425 41779\n40977 64087\n12883 96625\n47497 61271\n8339 94361\n69476 71006\n19041 29821\n37040 78583\n7622 69509\n48927 69196\n79288 80442\n17459 49915\n50406 56588\n61880 80425\n7220 62425\n24636 71831\n10225 84061\n58818 79945\n18746 94156\n44779 67244\n9298 10513\n24900 35675\n20173 56078\n30223 43615\n1876 81279\n77129 88331\n11611 46355\n30322 41714\n13167 23914\n61843 95747\n35807 35882\n22601 26997\n41324 95050\n16330 71731\n66654 98338\n45235 73770\n45703 97446\n2327 60852\n73437 81130\n11150 26398\n9996 96041\n59286 99954\n3756 15369\n5508 30824\n23730 41013\n72126 80000\n60797 91562\n69288 72580\n15955 31004\n2823 65717\n44533 55957\n50636 58095\n54769 74623\n77630 86578\n19852 61086\n21727 74646\n15730 93374\n9712 17394\n25358 58577\n2453 49187\n84052 88338\n37745 39329\n39807 75743\n3502 61020\n53879 85798\n37775 55171\n28218 28963\n22343 75963\n36643 44887\n55068 68953\n9607 33647\n15574 44858\n57944 66903\n6755 11778\n57868 80375\n78348 86716\n45955 96701\n90753 91136\n19317 49963\n14404 15184\n28260 95946\n33506 56422\n40409 74114\n61241 76732\n44259 81699\n16419 91767\n22829 86416\n10456 54498\n38947 44575\n7815 58336\n56549 67230\n16513 74211\n23381 25097\n56571 78823\n73166 88159\n10623 35443\n10958 99764\n4170 33172\n62000 97201\n2068 55473\n4502 27308\n6002 59673\n2884 17457\n13687 32673\n75309 86044\n51275 84001\n14284 32115\n6810 85740\n24438 91623\n68748 91761\n57338 83208\n51756 71301\n26900 68268\n11240 77233\n11235 59267\n12876 35790\n10013 57537\n22564 80203\n23725 89307\n43722 69484\n71024 77684\n49380 79950\n69069 79634\n6343 57567\n19187 74106\n35260 77136\n22598 69069\n34978 96797\n9272 31232\n84855 98927\n6236 94941\n4420 82636\n9928 18369\n23394 69750\n6303 54452\n46120 95173\n225 66573\n43369 74089\n38317 52318\n45810 51657\n11429 14176\n15461 26192\n7887 84650\n17747 41033\n25756 62071\n35489 64442\n14411 86506\n2684 49670\n27295 54127\n33636 93481\n13006 64025\n85319 94845\n14340 37372\n11355 27378\n3304 38693\n14584 35127\n13576 44491\n67094 86149\n55417 55988\n70153 78897\n48751 60223\n71510 83353\n5731 48734\n39234 74592\n19422 70023\n643 90011\n36863 53978\n20886 93940\n78758 86495\n33291 99868\n28166 61391\n45968 84397\n54659 63023\n22060 33896\n5314 32528\n70567 79253\n54947 97108\n69582 74216\n7583 93232\n41196 81630\n36786 74558\n27808 77127\n2822 68851\n86909 90712\n1250 19564\n13055 16552\n46393 58704\n57221 79307\n15221 48685\n48490 51164\n13612 30345\n92493 98645\n15251 97693\n67307 92016\n38824 55106\n24678 85028\n25075 66670\n21705 64081\n45356 85781\n37640 96720\n31997 89802\n66168 98344\n6212 51555\n64460 66406\n20809 28109\n64200 98239\n11221 12442\n7252 55320\n17304 92266\n23880 26834\n1399 96415\n16491 85106\n54078 72006\n10075 34683\n45188 51732\n21126 44908\n39041 83905\n34911 54126\n13658 96029\n44788 90944\n30039 96284\n40188 91939\n2460 63687\n14430 61650\n50192 95697\n49132 61398\n530 50584\n704 42588\n75616 97664\n3748 36451\n7217 48096\n21505 56669\n24735 95689\n21480 88367\n908 76694\n18890 25301\n26063 67877\n56091 83646\n13510 89973\n42417 68077\n76115 85234\n15702 89333\n21059 45339\n9252 71645\n54811 56378\n45113 74439\n33814 96258\n37540 90718\n6983 22601\n2225 36519\n15237 82982\n36451 47543\n67557 78398\n4372 96681\n78117 78467\n17741 91097\n13566 94179\n42947 72715\n27351 52395\n22259 34447\n13543 27769\n28338 43366\n5122 11019\n6361 31884\n68118 81308\n38983 57202\n23358 77048\n13045 13929\n19359 76290\n11770 13261\n39933 82845\n4625 29300\n3097 18545\n68831 99701\n76530 96953\n15957 91894\n48684 67435\n42600 72240\n8672 42571\n83505 94749\n15055 77649\n16498 60869\n48276 90666\n6012 90350\n68429 95506\n4781 69324\n44969 79845\n27416 37768\n30210 72368\n34437 83998\n60867 62408\n10471 19978\n13630 37746\n56750 69001\n3817 18520\n86998 98116\n9314 81237\n19169 51096\n7407 74729\n8426 81277\n27680 35017\n29031 85604\n80220 97058\n16856 58179\n7881 29188\n18036 74116\n4770 10218\n8694 49363\n14859 70620\n58259 85786\n35705 93198\n25807 80932\n19902 67965\n36707 37859\n47455 85089\n33346 77536\n1146 25120\n45392 88629\n2936 93265\n21371 83546\n78125 81442\n26957 82835\n13347 45417\n44482 76416\n17700 70395\n13424 57567\n24083 63033\n56751 87571\n81421 92702\n8759 45628\n36936 61429\n11576 40779\n13703 20481\n39379 97403\n30105 45626\n48241 59294\n12628 92502\n42450 78352\n9577 37383\n71100 77215\n58449 65153\n70332 86437\n5241 26519\n56778 77158\n5002 93741\n33268 94708\n14729 27704\n9754 47746\n41098 42642\n43797 49993\n44053 74176\n55946 78953\n25637 39875\n54767 62031\n14300 55368\n49305 94949\n47620 78324\n49726 84090\n24676 70962\n63166 68441\n81856 95209\n34088 79032\n38344 82691\n7581 28668\n10354 95605\n56305 94720\n24409 88731\n648 24013\n35831 89408\n21128 32210\n29322 31304\n21954 87018\n66607 89870\n84511 97097\n4060 80374\n78913 83598\n88664 94135\n35295 64319\n49023 67086\n32498 89937\n22889 55236\n31927 93846\n47734 61717\n53031 57199\n35497 61240\n8777 42727\n10586 22622\n12119 46586\n7594 98513\n33973 94259\n28374 29921\n38971 66622\n31883 52906\n56877 91935\n82409 98305\n45433 63156\n8604 57826\n10793 29016\n21277 65298\n54362 70657\n20668 56665\n52532 63549\n28146 33806\n39362 61959\n32505 50657\n3187 55074\n61205 64647\n68190 74477\n5566 99743\n14045 73675\n43850 81904\n55408 55960\n17326 28556\n1718 11757\n39568 44364\n33204 98321\n9081 87854\n9740 98922\n34990 65920\n34972 65501\n11696 69296\n82622 86922\n47909 58905\n15756 99763\n19497 61728\n51151 86447\n26229 80615\n14439 85672\n45204 52872\n62809 82892\n66678 86537\n63794 84833\n46147 96803\n56063 98370\n15743 57968\n9012 38573\n36145 88078\n7068 55438\n10794 19277\n89299 99791\n40091 66482\n64003 89314\n33657 86886\n18535 72865\n73241 79533\n18616 21423\n8159 60238\n75873 85868\n13296 71741\n60833 69172\n28499 32300\n35393 89381\n18551 26499\n59391 74838\n22799 46071\n25542 50382\n29998 40572\n77695 93405\n11868 44580\n32248 94926\n3594 70550\n67710 99829\n62059 88797\n9808 79430\n8377 68140\n8765 20487\n82988 99112\n354 5196\n5078 5708\n6753 54070\n51820 59405\n4253 13963\n36738 78043\n53788 75133\n4037 76795\n41046 75072\n54503 67386\n62742 81613\n53401 86467\n3649 84693\n72650 75478\n28870 67239\n35647 47383\n32536 65317\n12446 57028\n1984 11133\n20145 72810\n37230 70120\n24256 36998\n35024 46941\n4352 14769\n9646 38360\n44130 61217\n5275 20385\n22008 42880\n46957 85660\n22546 27368\n97827 98291\n43839 46519\n26791 29287\n27875 87992\n19510 56103\n2986 28618\n3575 66868\n23539 71517\n62943 85817\n31687 59581\n6305 7509\n19016 56647\n12951 51976\n32783 88821\n62377 74985\n18871 26585\n51928 90134\n76182 95999\n5247 49460\n67045 81567\n94854 96051\n18076 20265\n50261 92463\n32906 38719\n61725 94025\n6947 59699\n19959 72830\n55824 79563\n9911 94775\n16057 88052\n7909 67915\n35626 55104\n10178 39861\n64723 77640\n42386 68140\n33864 36086\n31597 81519\n9061 80627\n20280 52808\n7551 93654\n11272 64104\n7447 95504\n262 42429\n50951 61449\n17617 24023\n25355 43570\n36850 74178\n17061 19041\n5671 32748\n42521 89599\n9156 62928\n23105 99460\n64498 98411\n49758 55756\n50865 55791\n8158 17146\n26609 97637\n50463 54759\n7936 77863\n23018 46061\n46748 83235\n64634 99367\n8031 49753\n35717 92844\n18123 43052\n16265 36788\n31198 32566\n23600 98916\n8876 84832\n1338 53807\n27534 85551\n67647 84307\n33857 42056\n58811 59142\n14278 84348\n7163 88225\n27886 63118\n26677 28995\n45948 59246\n6502 17834\n5252 64826\n4457 51488\n8183 21049\n3286 84566\n65155 80306\n3428 8899\n59044 83027\n14449 44777\n42258 92822\n3207 10269\n22955 42238\n28152 35443\n40066 49511\n10542 66005\n34523 45162\n35885 98288\n41247 73508\n43763 71395\n16417 25547\n43518 64815\n2238 18020\n21703 57469\n64295 67913\n28446 68532\n35640 48398\n374 87953\n4592 37288\n14874 29841\n3861 25834\n58027 74932\n7594 27829\n50084 73343\n63366 63605\n34943 65755\n19617 85702\n67721 69838\n60332 85949\n42519 74246\n51987 75617\n9939 20122\n2088 36739\n63706 70385\n5607 35574\n14930 63400\n66509 83989\n12081 42124\n52046 73756\n19474 98118\n80295 88677\n11186 63667\n36254 78371\n8549 36267\n7230 89023\n49657 86603\n16772 42028\n11588 59370\n12192 61262\n9364 90851\n24009 40051\n57347 57471\n10526 22900\n7592 61896\n23688 83726\n35323 59902\n72332 97208\n3519 6260\n47766 48732\n47170 48756\n5930 74728\n17554 66397\n46618 78346\n56990 94573\n2211 33122\n1378 5154\n48330 95449\n8555 15258\n32430 40982\n12496 27853\n15090 65385\n13333 72433\n62489 84783\n28483 62203\n8196 27029\n29260 91852\n49903 60833\n64432 81668\n19902 72000\n58475 77240\n23465 93785\n40054 99747\n10653 35989\n508 35383\n43234 77871\n36935 83636\n25331 39856\n13842 46190\n28652 28942\n8948 11658\n19100 55390\n15568 57420\n12643 57419\n44513 95300\n70281 80862\n41988 45202\n12781 72238\n14076 61817\n4810 56097\n16627 58909\n87346 87689\n40791 96667\n46698 55409\n20640 61042\n15185 95529\n54801 60046\n20913 63126\n75163 91256\n87039 93378\n38680 48399\n33754 87347\n62541 73783\n16326 97106\n32377 72883\n9547 55604\n67005 91912\n14409 30152\n4894 63381\n30195 88309\n4114 75345\n9377 20416\n46781 75553\n12254 73109\n45237 93152\n83634 86928\n21791 92351\n65496 65927\n17154 61606\n35537 89651\n5869 25046\n4895 19175\n54480 85026\n60218 62889\n42800 52584\n44658 97355\n74749 99658\n30480 68279\n76064 77611\n5976 85280\n45284 82561\n55321 98240\n56734 97228\n75351 79694\n10177 80003\n44174 60687\n32415 58641\n3096 89551\n41215 97214\n34475 79824\n25639 48579\n30013 78296\n15267 90031\n54815 84106\n63018 98332\n39034 71619\n96927 99170\n14630 71464\n42925 47239\n41942 75787\n17962 56016\n57983 84937\n8444 19688\n31132 59205\n60600 66438\n75907 99789\n79645 83454\n8936 52905\n61686 90251\n21400 66340\n24235 60563\n67782 78398\n60430 72216\n5688 28586\n72259 82659\n19188 66089\n43694 69089\n2759 22085\n14318 82137\n23982 79400\n19149 49836\n40732 44183\n169 47289\n1234 40433\n10435 20905\n63967 86071\n27319 39640\n3710 68155\n33859 39351\n51869 73759\n40528 63891\n37086 71497\n76507 79432\n27708 70084\n21922 59144\n67785 77242\n57681 89418\n54435 57564\n15340 72946\n63697 80202\n30974 49209\n18664 67019\n26206 82298\n1041 4459\n23042 67751\n1390 82114\n40318 47099\n30023 50622\n9596 37227\n25959 63909\n60217 96253\n48476 79721\n59031 85004\n6748 39823\n61546 95210\n3385 82853\n15993 71265\n21764 26319\n48145 54803\n62257 68817\n22511 27811\n11596 56999\n4154 66283\n46529 62672\n47192 65270\n29452 82425\n22820 70651\n9175 18322\n8002 44934\n14935 38908\n26097 61460\n47152 50623\n39261 79214\n13170 45409\n56591 65795\n26053 63987\n14151 59360\n25726 37769\n9741 95414\n21133 54737\n20764 92162\n60175 76493\n11802 53311\n18255 95374\n34296 93412\n29084 68659\n62364 87089\n39150 58754\n6879 58657\n54546 95936\n70372 98750\n17144 59528\n69874 71165\n43431 73732\n43168 56740\n31285 53250\n65876 99720\n36423 60077\n13348 21559\n54572 87150\n32170 80609\n19025 44291\n32108 35261\n44994 86092\n61411 68952\n22262 93980\n67209 74130\n9212 40650\n58302 85236\n33784 73616\n57597 64500\n38692 57528\n17 42596\n75023 92771\n45643 71181\n37936 56058\n25219 72603\n19380 49051\n43606 82272\n7181 44808\n14257 30037\n20302 49566\n545 73506\n12203 67443\n53985 94885\n46198 84496\n73747 97972\n433 96576\n569 57734\n9211 37882\n72390 94925\n13866 23619\n171 6443\n65136 87656\n1967 22499\n2224 28048\n11060 53564\n41513 42368\n38794 87547\n49456 92665\n58766 92881\n4954 53284\n30762 65348\n56800 91620\n7049 77219\n4296 58896\n70635 70809\n72278 81832\n30390 62492\n16793 39258\n2887 46743\n21918 25028\n17793 99997\n10147 80281\n19199 33430\n15975 95193\n17050 33937\n2416 13449\n72509 87267\n15268 53579\n32177 74414\n17021 68118\n74566 89478\n34319 75641\n52837 88666\n10373 86538\n59587 64548\n26779 97571\n2581 36836\n56145 93630\n38112 65630\n28405 89804\n38723 45598\n14239 31772\n81847 85924\n57149 80453\n5890 10904\n23795 39941\n53677 88279\n33590 74007\n17217 69788\n28541 66866\n17404 47227\n1246 8927\n4619 98061\n50075 79456\n39913 79398\n23152 77998\n28643 50684\n7208 22176\n11551 93131\n21372 30458\n12137 51917\n14056 75671\n6408 33503\n32666 49760\n25101 92320\n10625 91796\n32403 42847\n11966 59142\n46770 98799\n14438 74125\n5714 6746\n25979 42128\n63536 77008\n33089 52645\n24200 32002\n42494 98614\n36260 82758\n7545 47906\n39615 67406\n54161 56713\n3844 5089\n79210 88253\n43916 79418\n60599 78139\n9211 21962\n19937 34999\n11913 69873\n1721 13592\n20459 69054\n32767 97452\n5838 80792\n8654 13910\n20836 32605\n44985 46320\n6956 60393\n20147 87354\n80805 80821\n37583 66513\n72639 77965\n26892 38506\n49032 83596\n42568 68568\n27806 30331\n63406 97597\n10511 21757\n66188 83391\n24568 51760\n28187 74637\n8677 35685\n14095 94166\n66532 99015\n26924 32355\n88583 96776\n12543 77654\n67512 79293\n56605 82077\n28668 53426\n67858 92502\n18187 48660\n47908 76104\n40479 62440\n8 71822\n20540 94084\n60077 66453\n14610 49594\n37665 39645\n16498 32354\n34375 37796\n7331 60271\n69592 73040\n41854 97306\n57518 71394\n32213 57165\n5991 8117\n71787 88999\n31477 53646\n54196 69147\n35289 40934\n13526 83220\n47319 75082\n83727 92113\n12689 64565\n57436 83572\n39570 88395\n34393 38491\n64768 98438\n87574 93330\n82484 99393\n26233 56853\n50845 73821\n77863 92511\n31831 42861\n71451 78768\n25175 26496\n51494 59204\n11421 52854\n43262 56328\n34342 77347\n999 58444\n8377 86105\n59422 88842\n19789 45088\n39190 86004\n40599 79431\n87189 95469\n34688 44507\n59475 81477\n74258 74604\n5349 75962\n36653 46408\n22669 24280\n17814 48411\n16109 72473\n81010 99415\n18494 87700\n33310 36380\n39222 93791\n40495 76353\n51508 94304\n15100 16067\n25415 31311\n6331 33164\n45704 71531\n15674 84469\n19137 35081\n15292 68136\n5949 54223\n4329 43984\n4282 68005\n7421 58797\n41614 96984\n13460 91251\n75826 86207\n19854 47487\n14315 28940\n36886 43779\n75238 85670\n48874 68612\n63940 87443\n6849 27180\n85800 86528\n45411 84788\n26858 96965\n87924 96951\n7954 79385\n17856 70201\n72933 86293\n44952 83533\n43408 56651\n58152 88833\n8693 13119\n11482 98175\n12149 48686\n24902 34905\n50552 60802\n17323 40588\n2620 52886\n18254 62260\n17140 67067\n2924 19679\n22306 38518\n66618 68387\n45906 49921\n85414 97599\n24502 46879\n73380 85516\n17334 74457\n24552 75075\n60499 78899\n3961 12380\n51833 90684\n39132 85901\n10265 46860\n961 63016\n90188 94453\n33157 69192\n33179 90515\n66791 88674\n58825 67487\n1092 25888\n11627 44696\n11646 90023\n11173 49795\n20375 25754\n42631 83226\n44028 60268\n45131 71366\n396 22940\n23556 25496\n4818 20634\n21318 67550\n14699 37413\n41987 75072\n47863 78832\n23469 69528\n12101 54538\n54700 70262\n39230 67337\n25107 37922\n23 83806\n40414 87829\n3359 50038\n58085 74535\n4776 32730\n17548 64222\n17025 34250\n36861 92299\n52313 99730\n4122 4503\n74259 94930\n30068 49828\n1159 13177\n16652 74814\n63256 90466\n58810 85355\n10125 69181\n51434 53199\n11038 62332\n4649 93931\n58549 86590\n9146 13912\n28722 61183\n75104 85804\n35459 58934\n6291 56065\n13541 44783\n2488 86485\n9481 52782\n43641 90610\n42790 50148\n49895 73784\n44425 95814\n22286 61575\n167 66171\n983 36130\n38049 58844\n35819 93522\n49560 60425\n24978 27256\n29769 86974\n25781 67659\n14960 80471\n18534 73501\n54839 97597\n29126 56093\n3674 64720\n74163 95527\n65366 95768\n5995 16699\n60673 63829\n13281 99486\n50592 89349\n4739 15053\n65162 92534\n62050 66125\n39912 82986\n3386 91943\n31878 55244\n38888 95441\n18819 72020\n10178 87718\n24515 89193\n32099 51759\n18869 99506\n22665 57368\n10081 83991\n72596 88171\n32836 69264\n73609 86372\n1544 79290\n3823 55014\n52212 97633\n683 98994\n31484 42875\n8594 29957\n49386 55579\n24839 84971\n18103 68371\n18183 88654\n47251 85994\n27780 94960\n49593 53854\n14186 94817\n12035 94007\n8064 87072\n33494 72450\n12655 14249\n18261 80007\n8054 46797\n39267 41226\n2917 30685\n38671 86102\n50647 86477\n24096 71552\n20493 85428\n75568 87908\n27001 31036\n1666 22997\n25946 69103\n34072 76523\n4168 80329\n2080 23310\n66116 78287\n4048 29594\n69723 71489\n3663 20955\n3060 61915\n59906 67770\n61887 86023\n36961 62085\n24278 31117\n35792 82679\n28807 49464\n65366 85007\n31428 93978\n8914 81877\n11063 16088\n28268 67760\n38363 44419\n39237 99558\n23889 71241\n6523 24992\n53755 87741\n23156 91791\n11093 17438\n47782 49845\n1762 26061\n28141 81525\n12023 53135\n25669 51662\n16681 71356\n28696 88342\n37039 45625\n18563 37435\n10494 68232\n47495 88772\n55012 57684\n20193 73814\n67727 82834\n50844 71735\n26066 75282\n3417 35099\n55445 93508\n13712 62012\n8211 90496\n78366 90147\n64118 93039\n27430 87700\n45021 68324\n3490 87604\n43753 46789\n11484 50850\n15006 98037\n17589 80156\n64181 98491\n66197 66952\n21061 56544\n5035 36651\n25611 49789\n746 35898\n34651 54930\n2950 78639\n90482 92378\n69061 71305\n40297 73904\n29634 37284\n33851 38377\n59361 71416\n47922 96524\n65768 66809\n4734 90328\n35755 39379\n35900 71807\n13499 79549\n78310 84162\n1226 46379\n53524 63380\n73913 76091\n43869 64724\n10138 45354\n17306 42156\n4265 67413\n67318 81848\n58545 81425\n14226 90209\n51660 82410\n61956 63949\n44465 90294\n33408 58522\n75140 94267\n30590 68957\n44503 68064\n32691 50841\n40995 55618\n36043 93815\n4656 10282\n59457 89181\n46913 61282\n25637 93284\n10227 62015\n63420 80709\n40663 83524\n27972 50830\n2822 15768\n54830 92392\n6172 41579\n46725 84374\n46012 77263\n1505 8943\n71058 75254\n2835 66760\n71871 89956\n14882 60339\n15555 24984\n31053 85732\n35181 59848\n26715 95517\n21249 60486\n58357 99612\n5380 36263\n37082 65622\n60929 81119\n36779 94459\n53894 91122\n72286 76551\n76952 97576\n3723 19420\n8612 82040\n50255 86026\n48263 53987\n40930 42140\n11140 98223\n41270 81197\n64136 86511\n20251 62327\n39953 82088\n6324 42887\n30793 52752\n45615 58910\n57252 60958\n36354 64655\n9310 13350\n40800 51054\n4523 59940\n7130 18517\n47622 71427\n4248 76886\n18822 63866\n68270 69774\n61929 62102\n6351 85745\n12504 55805\n60302 81654\n6126 9014\n27097 49693\n19938 58406\n52585 55427\n2444 3050\n33370 98317\n21238 84030\n4388 88264\n24693 51397\n94598 96006\n520 71626\n9002 21800\n39769 51735\n74754 90641\n21051 38136\n43664 50624\n22408 97725\n61183 76375\n19597 61618\n45526 74104\n24297 49417\n53168 82282\n8036 61667\n47255 86394\n42670 52256\n3729 48653\n14336 73905\n43796 71380\n4310 85248\n19575 26939\n20213 51532\n5277 52779\n63660 86933\n6600 69732\n26360 50868\n52375 71394\n14946 55341\n42823 57593\n28065 39013\n54539 67873\n95800 99246\n36637 57945\n1762 63226\n63576 70100\n4375 63912\n33753 69164\n6782 19738\n23474 44181\n17468 72645\n5275 60083\n9831 47809\n36708 91832\n30523 44455\n30929 80566\n24384 33219\n22165 24658\n12525 59034\n36145 79303\n73126 86866\n46840 86639\n59893 98660\n30431 92840\n49069 85748\n16406 45008\n4711 41120\n30 11741\n78455 91929\n31773 45561\n72480 96050\n7439 7982\n18939 47848\n64482 80884\n58447 98759\n74088 96830\n12917 49045\n9080 56740\n57149 59468\n24986 95048\n5847 8124\n3367 45632\n11776 15744\n43360 59308\n18584 74978\n32679 95752\n1067 49022\n41589 74576\n52127 76385\n55636 80519\n2734 78804\n3134 30500\n30724 44020\n42072 50130\n39948 69995\n43348 99186\n1718 71410\n36524 47504\n18838 46590\n38020 98538\n78316 99015\n7167 91852\n87298 98409\n57618 96645\n11724 41565\n62491 63321\n96110 96988\n55552 62306\n14348 80853\n25474 31929\n42487 71992\n39153 74592\n27564 83065\n39005 65110\n4318 47555\n8046 29005\n37709 47258\n24550 37370\n4534 7657\n46225 48589\n22842 74896\n31445 65739\n27378 44380\n43274 62715\n3179 8214\n2571 54262\n83266 97384\n14079 15804\n29427 92164\n42652 55478\n29522 64907\n44457 62554\n59351 62431\n72627 89203\n11290 84241\n36891 44309\n921 67512\n29258 93059\n40662 81898\n61383 83684\n74305 86579\n64274 85695\n39439 76688\n2367 18962\n4744 25888\n2433 9084\n23238 79773\n55509 94298\n2961 72723\n15061 61659\n7943 27297\n11578 40543\n52314 93852\n24823 52144\n39707 74843\n20092 46242\n16202 91240\n25501 51630\n7796 78948\n62615 92772\n12940 50466\n15084 88649\n31553 84152\n276 67646\n62141 77983\n10484 17619\n41007 51372\n43053 48845\n86710 95335\n43691 91631\n4605 58155\n58523 73480\n48182 75838\n36340 64286\n30637 79158\n22145 32098\n54834 60976\n2418 45283\n8290 85227\n33116 92613\n15325 62768\n2919 52515\n10271 36650\n20338 64142\n60363 93628\n9232 74538\n34031 62726\n6359 49017\n27593 76841\n751 58927\n60316 75426\n8337 20683\n49219 74867\n57526 76409\n41922 71126\n53853 86664\n73161 98923\n54031 83695\n78236 95562\n23314 61966\n13088 88658\n52171 87195\n28977 60844\n559 88371\n40756 43637\n72515 81121\n22580 82359\n11734 36158\n51131 91893\n53306 58944\n23155 89193\n48646 81070\n40850 48930\n64618 95443\n1909 83601\n55720 92141\n33349 84053\n24831 31221\n2150 84449\n19527 75434\n21296 38092\n81731 96784\n50520 56875\n5666 7135\n12723 99944\n52064 82997\n15447 39192\n33840 82123\n40565 77668\n16407 79995\n14077 94230\n33730 95969\n17218 93657\n14602 81628\n10482 25811\n64095 99160\n45530 47334\n1366 15300\n54590 67275\n1849 99942\n66444 67569\n2220 81552\n1928 97383\n25048 43051\n74605 81002\n43957 48878\n14437 71606\n87881 91764\n43072 48007\n1133 51199\n9645 71944\n19599 92865\n20365 24252\n50298 57125\n16831 22797\n6935 62406\n66659 83186\n22485 77996\n64134 99884\n43180 85713\n2583 99037\n49007 87685\n14191 86165\n76237 94404\n59370 82056\n31769 75437\n4717 98611\n22242 38469\n87370 94569\n25341 32340\n44834 59261\n28755 48714\n64551 81622\n8747 35834\n50456 68403\n76438 95431\n41503 90907\n29788 31118\n67227 75936\n24717 82576\n3946 10658\n48303 53892\n14290 32159\n8513 95126\n33686 69570\n554 91829\n1625 86057\n13691 38691\n23061 44653\n73525 92729\n37311 63700\n1703 20458\n29949 91764\n25467 92359\n33913 58407\n19367 51564\n35310 62248\n51307 53908\n8273 16193\n4159 37895\n69861 92840\n30565 58964\n17710 52535\n73330 97334\n79130 93443\n58138 80827\n15646 80911\n2475 40736\n15329 98359\n73839 98750\n1159 68435\n20599 98321\n30572 40844\n16252 67367\n46427 67084\n59348 90692\n4792 54723\n41862 90318\n39753 44614\n10729 64446\n37274 55979\n73215 87493\n4612 70657\n1696 65169\n9751 40461\n71780 90790\n22090 88478\n80827 82095\n21278 59612\n14600 62974\n20718 62045\n35544 45228\n38819 66707\n176 61437\n64904 77998\n61158 92134\n32094 51158\n44499 89926\n49216 49263\n80673 88783\n9692 95566\n28070 43061\n19977 99977\n37973 74299\n43308 50342\n27897 53874\n83553 89845\n5552 68891\n44451 53143\n4654 91926\n57399 89490\n13279 46885\n47191 93882\n22805 98463\n40634 46076\n11246 73030\n15265 92772\n6089 56260\n5523 14821\n50360 89821\n23001 27827\n15789 99228\n42755 80330\n67334 88460\n4833 24009\n26738 44144\n5845 89281\n72118 84009\n49241 88005\n16054 85040\n66793 82188\n35363 39655\n7365 22971\n48512 88088\n72400 74591\n9804 21961\n29886 58387\n64141 78107\n62875 88913\n24169 27346\n45802 67788\n5816 40183\n10769 22168\n10237 55686\n28447 55646\n23460 61869\n67913 71368\n9978 69793\n4840 40078\n89507 92922\n28131 94919\n32071 40880\n4359 21264\n6238 72958\n57067 89104\n25577 92865\n17762 46469\n28094 99541\n4295 78180\n18965 42617\n31942 48789\n2193 40443\n17086 42376\n36549 92959\n44097 82094\n76248 94781\n24839 30306\n3465 90481\n40829 57046\n73822 94329\n45160 49867\n72190 87741\n28340 89436\n2825 24845\n18874 38021\n20748 96944\n14332 43060\n4769 43860\n9514 66206\n49343 78912\n31653 46757\n37615 92304\n77126 99324\n80073 81535\n66682 92111\n10420 59360\n21097 99858\n52395 77710\n5090 93809\n54616 61331\n20929 62098\n71388 72197\n6435 26235\n18645 95612\n69401 70677\n27153 36165\n6723 51748\n41831 46081\n26913 47086\n22105 73234\n68285 86603\n48226 70294\n61654 82181\n38336 40389\n65126 95559\n16915 96510\n20753 50694\n8893 25179\n20929 39085\n81864 95558\n18404 71030\n3789 8342\n28814 30464\n23477 62674\n1308 26558\n47788 81431\n31250 40092\n23330 59379\n44260 71285\n35965 76574\n36239 87108\n1984 4535\n75253 78515\n58720 67290\n22399 50920\n11666 79363\n45889 63296\n44076 90088\n2305 64740\n34180 82979\n53136 60360\n6706 47219\n8196 94336\n181 17739\n11570 25688\n56475 83875\n28795 82975\n11990 29524\n68204 78767\n8817 99731\n35121 92076\n64324 70462\n21069 87014\n26081 45812\n12722 86357\n29610 66863\n11637 39224\n16800 63629\n25738 81377\n29619 32294\n48631 70144\n48685 87694\n49186 78666\n73987 78013\n43694 74291\n66107 70517\n7832 12232\n37501 76095\n35463 83318\n74377 97560\n25788 96210\n52084 57641\n21513 84146\n75958 87711\n15813 63397\n17051 63798\n23637 42643\n38871 75124\n4918 38868\n4014 17431\n17334 76677\n8960 17536\n59812 80989\n36769 43779\n50701 90799\n18486 75875\n1407 56291\n37410 79746\n74399 78328\n26454 73865\n42152 64863\n52801 74407\n17693 49699\n91483 94886\n61604 77814\n3593 89851\n36058 92637\n54624 73813\n67631 96404\n76655 94316\n59933 90645\n71674 75440\n18819 91690\n20192 72818\n6779 94079\n69326 99209\n6956 39183\n30535 62133\n26080 41101\n18868 24843\n52018 80548\n62220 83477\n49998 96880\n78408 78668\n5687 74301\n78149 88251\n81335 85017\n4038 87286\n63354 92588\n20931 50844\n4283 14871\n30400 67579\n24610 93606\n38974 78683\n6745 39404\n1300 73349\n14947 79131\n27077 89758\n24059 89556\n41135 68022\n16274 37427\n49174 67060\n44563 47249\n60752 81694\n76330 93840\n1090 64218\n67108 89352\n61950 98325\n47026 49937\n48857 80001\n9879 38050\n12007 25056\n4204 33831\n59400 74609\n9084 49821\n31635 86410\n9107 14284\n14196 98189\n45486 47262\n50979 64957\n40971 51480\n58854 65072\n36307 61773\n29118 84098\n88484 96009\n11434 79721\n69268 72889\n5315 11350\n17813 56408\n16003 65866\n71190 73565\n40197 72041\n56638 74102\n4997 81560\n23860 38995\n39602 72507\n14217 78894\n24253 79986\n69227 87917\n60476 91040\n52456 81688\n70753 93170\n23665 83754\n71431 84564\n14267 42506\n72672 88222\n5276 67564\n23423 51062\n32418 57614\n77709 91152\n31371 50044\n50063 95058\n17771 55030\n14518 67446\n10821 83587\n21088 35135\n4067 60905\n16569 69074\n44298 75524\n35547 39123\n35922 99050\n17925 37361\n37431 90799\n21915 93720\n3075 14182\n5479 45501\n71910 72184\n64500 76401\n299 10527\n32790 57765\n380 90079\n14498 32781\n9460 57149\n9552 41207\n13453 53232\n8497 48009\n10511 60915\n27982 65627\n29297 43438\n15063 44672\n34807 53950\n28782 89293\n33565 41880\n10185 21553\n42992 97022\n11648 83256\n32187 46571\n16795 20069\n32931 75250\n58425 68463\n48117 54047\n6865 11860\n63373 97945\n13935 42037\n54251 78669\n43642 95211\n73380 74115\n44983 72981\n76841 98716\n61610 85480\n20740 52746\n21828 58961\n28396 38197\n69937 73598\n27972 74079\n17285 66819\n38552 94731\n6265 6625\n44351 97652\n63392 79510\n35486 81099\n5986 51248\n41481 95223\n6952 52166\n39669 54918\n9757 78432\n24210 52964\n12216 78130\n23058 62525\n20133 20600\n47381 95399\n71852 81665\n27180 99274\n16428 51879\n59448 73009\n12185 29645\n4519 37671\n77753 91785\n28475 54104\n49905 87841\n54873 65290\n46797 52049\n2408 50954\n59396 90605\n2544 5231\n73421 94429\n48824 56785\n8356 36138\n37589 56824\n54581 80217\n15958 27707\n67657 98582\n61909 96645\n2255 89361\n35331 81175\n33340 96845\n30416 37123\n20379 58703\n40649 61331\n25581 96769\n39127 90470\n62638 72665\n56155 84335\n50934 93730\n1944 7071\n37865 46569\n14392 25587\n248 31547\n61690 76133\n19613 68891\n33172 70250\n20391 94925\n26313 83451\n31771 85077\n11679 98506\n13275 31925\n62082 95980\n30764 94938\n70864 82633\n16007 63592\n64736 90234\n12451 52486\n28473 44507\n6794 48426\n15513 40156\n45255 94494\n17133 56440\n39107 98018\n2113 57777\n71696 86499\n67166 98337\n61464 98674\n34618 54809\n19938 81173\n65371 84278\n43709 64908\n5095 38504\n3424 91543\n52796 98083\n23044 94755\n3670 35220\n25774 34562\n87166 90822\n87015 98165\n9930 38258\n50434 77695\n79732 80672\n43908 80116\n33740 75190\n10426 95763\n4177 30636\n10018 83585\n61128 95981\n37508 54986\n48016 72266\n8474 68412\n13876 34063\n52543 56697\n44386 80998\n73241 79773\n1581 73793\n92623 94418\n50022 61293\n69525 86945\n42105 43858\n36476 80806\n74309 89883\n3439 68199\n49993 53965\n943 15890\n52880 88424\n3969 87021\n38565 52242\n15311 52739\n80577 99614\n16924 22848\n1186 97151\n17188 25905\n33732 44817\n67745 68126\n45229 89667\n80032 93034\n27985 44384\n61238 95168\n8192 95265\n24069 34662\n33741 64706\n28948 69466\n91379 91979\n46448 90487\n27963 29398\n16206 37256\n10317 81752\n74481 97358\n21113 26896\n43779 80609\n60089 65385\n6660 19353\n66876 94967\n12496 22324\n3124 42177\n12977 47628\n3079 9494\n5062 71505\n11968 43272\n18762 47229\n3815 44251\n41435 92543\n3844 71635\n59067 74518\n15240 34339\n65208 93485\n13553 47707\n15480 59019\n83415 99714\n1907 32773\n20562 29666\n53051 61540\n8732 18212\n15723 54330\n48021 89727\n46497 72051\n32889 60326\n35782 94312\n9335 97441\n23504 86575\n6354 27800\n22351 81951\n17405 25907\n1185 65557\n27417 39592\n39316 98126\n54975 96438\n22081 77074\n58337 76604\n24498 48747\n34344 50050\n57600 58764\n47236 70246\n27919 53644\n16033 50932\n38163 82921\n86911 94600\n15287 56465\n4981 20708\n70394 85985\n7333 69985\n12895 41885\n31153 53281\n37554 93667\n6922 31859\n22209 42934\n30663 48128\n15988 61877\n50871 62049\n32281 63901\n9016 69898\n38478 93456\n30224 32668\n77620 84981\n8573 42212\n10146 40386\n10660 86759\n71848 75510\n30243 44300\n44012 66844\n4936 8213\n5419 92200\n73370 77853\n37616 76948\n10937 58937\n21445 75359\n29406 86482\n80793 81822\n54810 81833\n34136 39002\n34646 41897\n4992 30589\n73781 89421\n30804 51863\n3454 64674\n59674 88799\n74156 88724\n12252 95827\n22060 85656\n22324 31534\n67556 93815\n46428 74973\n18073 87942\n48572 94748\n12111 69531\n18885 71495\n43664 94741\n31490 75167\n10434 17193\n11344 51411\n27227 76597\n47346 54793\n60635 76067\n44071 49801\n14979 38199\n7990 85106\n25604 70267\n57677 87577\n6335 56245\n332 39340\n6367 70773\n17551 95154\n51311 85877\n20062 70814\n20312 86910\n34929 91253\n57198 79666\n53150 87266\n76007 91347\n68067 96531\n45307 68036\n21017 44350\n12445 25491\n52075 72266\n50373 90862\n1946 36808\n55209 59833\n28363 32337\n25011 38002\n900 76483\n68583 92928\n67569 68617\n36362 78697\n39076 48029\n40044 96245\n26788 85938\n44472 91973\n18491 79368\n39616 80654\n30956 85019\n58134 67010\n25718 25880\n31096 65756\n47382 48049\n7341 76854\n56223 73375\n606 42403\n58192 60758\n70172 75942\n7061 32035\n4268 39408\n21029 24554\n34354 91681\n40076 47512\n5306 6489\n56110 83556\n13049 55026\n29834 67470\n11918 77931\n18902 60352\n38554 93624\n19099 64664\n43580 76862\n35995 89429\n29062 77112\n91126 94505\n43193 63758\n17475 45140\n11512 17298\n44732 79989\n4018 53021\n79610 85952\n20326 44015\n5029 51323\n813 89135\n20576 66157\n48667 70129\n9280 95412\n5077 26090\n3491 96065\n34559 86658\n50373 84516\n7154 75944\n58489 78700\n35688 52775\n28161 29902\n12746 68777\n20898 25056\n43876 99311\n18056 73638\n69639 81005\n45779 47760\n18398 61373\n38760 85008\n16261 32535\n19447 67099\n19655 40829\n7197 75685\n26004 91363\n79785 95253\n18944 64970\n58923 81568\n33501 74981\n53171 64213\n5025 57704\n3676 58952\n12680 94919\n7874 68986\n39910 69535\n33511 88997\n56326 93175\n35264 73937\n49878 93068\n100 88205\n20997 96289\n69447 78646\n47725 74629\n12841 62101\n32893 79695\n11869 59591\n33981 70379\n453 89128\n24097 34441\n577 54663\n35172 79141\n16465 91358\n36617 36867\n21461 70006\n55804 79387\n2979 28040\n14704 87025\n45659 50904\n36915 83598\n8950 93174\n32887 61356\n33609 49573\n59130 91542\n82594 98128\n10574 25970\n7652 86222\n17963 24285\n48189 52380\n14030 27398\n9560 63518\n38198 58308\n15152 36206\n37339 69438\n19265 62613\n2132 8179\n42727 72947\n1290 72218\n5492 85439\n58375 95779\n8413 13815\n17102 53842\n29473 83058\n18341 78739\n3583 77137\n46748 51146\n11394 21782\n63628 88448\n82382 82686\n87484 87858\n58644 98579\n20359 37216\n10628 59681\n18478 99925\n66136 74018\n61250 78965\n7785 93042\n25365 86976\n61766 88822\n2846 35602\n18237 60125\n36454 99764\n45277 56010\n82421 85111\n73287 83252\n10472 39432\n70756 94060\n53031 55509\n5219 16524\n12 24590\n53606 65200\n43086 47554\n31836 34417\n2690 38088\n822 8163\n84336 97435\n21497 75160\n18380 90344\n62664 81150\n46321 59177\n17858 27854\n64660 67821\n50468 75482\n53156 70577\n28789 58329\n17171 80912\n13612 30615\n19123 23237\n60193 88931\n22391 59864\n13539 96946\n50411 55563\n24319 95154\n43280 98190\n34671 54218\n65077 82829\n39494 91513\n25584 40358\n37744 41897\n13277 65446\n14428 83889\n23524 26751\n2922 92362\n839 52366\n78232 99938\n649 27850\n2714 94567\n8697 97651\n46196 70722\n39478 60847\n43608 74859\n59755 80242\n37652 72528\n42944 79821\n7400 94956\n2975 98981\n39766 68020\n71227 96019\n18421 79248\n21384 99964\n44883 66121\n54253 60979\n36878 71423\n10192 86101\n4676 72707\n7091 28105\n83058 85802\n35022 87046\n13931 41543\n36846 95142\n2788 96711\n74723 95920\n55513 63611\n12419 28124\n18226 95571\n32834 66550\n22903 93336\n81234 97276\n18302 32552\n6056 92655\n13138 30326\n9617 41333\n38054 59829\n60980 61302\n59829 95522\n70372 99348\n1392 90463\n33036 62377\n6101 85599\n31910 81219\n74968 83001\n74519 81442\n26374 61831\n49584 52919\n50519 72905\n39891 40540\n11914 85846\n19004 28447\n81173 93391\n9702 66556\n38820 88643\n80148 95509\n30584 52521\n35636 57729\n63178 82133\n25811 85810\n39950 64782\n52128 91610\n20294 35292\n64662 68259\n80730 86017\n37507 61496\n19668 99091\n46629 60946\n2203 83039\n58527 61097\n46670 78075\n31036 49248\n1420 96917\n17606 19101\n20766 31121\n46433 69612\n7413 77437\n16229 92175\n23349 99484\n15240 17993\n4081 47167\n59301 65173\n39804 44324\n18449 57367\n11013 18410\n1796 47962\n82322 99645\n43 48807\n1208 94533\n29597 37026\n27910 58146\n40889 85789\n40448 90462\n11911 58883\n3576 24747\n26272 31556\n34545 83070\n5331 54230\n22030 75772\n37277 91353\n62780 86230\n8222 32867\n76788 83911\n6454 36452\n3811 29310\n3407 36450\n43509 70487\n42409 90479\n351 36279\n47869 70951\n5449 79168\n64075 92002\n19369 95998\n7785 72803\n24483 42026\n76891 82089\n1281 10006\n31648 96729\n27316 46432\n9505 17377\n15356 38327\n52765 63351\n81022 83762\n64181 86107\n3653 56640\n54566 75308\n69462 88856\n15575 78546\n11662 82617\n22990 68339\n26818 78339\n72151 86368\n15031 45177\n4506 75900\n82440 83175\n19226 86252\n21588 35941\n41367 85077\n1256 86030\n13525 37415\n59175 67710\n5547 25215\n30431 88494\n94663 96476\n9102 57886\n2957 65350\n64096 71347\n63936 89298\n53602 76934\n32240 93291\n9847 98072\n43057 43167\n16971 66412\n43504 55371\n3130 47226\n66097 70566\n14921 64099\n11472 70995\n3603 28667\n64388 65494\n20218 95367\n53105 91580\n19991 26843\n8051 56412\n4364 27173\n12304 67401\n20084 46957\n24083 85303\n36087 59407\n18629 55664\n41437 81280\n708 61612\n30940 70738\n28169 36338\n72848 74174\n87299 97611\n98019 99246\n2922 86749\n35776 83939\n68871 75530\n4072 15766\n153 6491\n34877 38633\n38252 54080\n79015 98485\n50821 99943\n2147 78528\n7043 16995\n14332 98688\n29493 84411\n78428 87666\n45578 56746\n19708 91536\n20800 68740\n68352 77041\n23328 23574\n3046 69846\n38759 62029\n71732 83888\n20255 81928\n22837 30124\n22156 61856\n9166 96239\n34708 69498\n9985 31476\n58122 81535\n6851 95368\n39544 83419\n16762 99742\n3360 37853\n48228 76245\n36461 88131\n22773 45436\n10388 38998\n8499 78087\n58338 94207\n32018 64793\n5726 41459\n32560 86775\n16749 63353\n17919 21805\n59200 76638\n14371 53729\n70438 76968\n7540 44480\n66832 72251\n22331 25942\n18313 30434\n23679 61558\n24131 78292\n540 66109\n28652 91681\n2955 70444\n904 39844\n80240 86883\n14856 97636\n64222 93875\n42124 81653\n19125 87563\n20482 100000\n23474 98376\n8947 13048\n28887 80988\n81303 92270\n28684 40263\n14198 33720\n7357 93964\n87830 97684\n37266 81799\n44877 53146\n18993 86866\n12247 13316\n33300 64330\n56889 92760\n6563 81649\n3836 83678\n14608 28880\n20956 29055\n34922 63841\n46804 61431\n42034 90077\n13746 45636\n1075 18371\n12374 47548\n50928 69392\n55588 63727\n53905 81122\n33564 90540\n20501 59873\n38050 42377\n57112 65579\n53418 66261\n37506 52745\n5066 15750\n71275 94649\n36246 46276\n26062 53839\n36739 82009\n40276 81366\n61735 93647\n88567 88593\n1121 48403\n51659 73901\n5980 24553\n20467 79558\n17594 64402\n33949 48177\n71327 78630\n19799 58519\n42220 44067\n69068 71428\n40193 72934\n54933 95160\n81946 99213\n66964 99317\n38281 97027\n10164 68894\n21526 23924\n46111 65874\n48625 83157\n25472 52968\n27933 37363\n22709 32329\n9992 36716\n18491 66882\n8234 15226\n48570 78399\n15673 41867\n42510 59165\n22455 95302\n10852 91654\n18805 35167\n1896 27788\n6075 89733\n54048 71494\n42644 57473\n60967 82380\n56852 85685\n4261 18778\n1621 79477\n4335 72169\n14075 92066\n53401 55931\n58445 70130\n35979 57138\n32731 49398\n48245 77019\n56116 76017\n13174 65261\n21826 57702\n3793 15358\n30923 76404\n58883 95958\n4867 12899\n5664 98580\n9722 37080\n35229 88929\n1022 96665\n20119 76512\n16716 17415\n50920 79666\n23790 40894\n22665 59018\n11721 82565\n75568 99195\n40306 88928\n15427 54929\n42737 94423\n27759 76646\n70823 99058\n38239 80697\n30394 34482\n39038 63143\n42650 98085\n10559 69639\n98654 98894\n35915 65145\n49002 58071\n8685 72979\n38158 71997\n54 85927\n17112 76240\n8675 96097\n37985 66083\n17152 82274\n24251 87387\n67928 88473\n1564 69353\n3575 95500\n15883 84154\n47121 76992\n31450 50581\n26064 49063\n63160 98439\n51185 78932\n2828 51327\n45631 51747\n35256 84570\n49941 79130\n39688 78246\n26275 67449\n41568 78080\n78469 90772\n10232 81413\n63512 74711\n17911 31542\n87626 92922\n10039 60117\n53854 95725\n13666 98366\n18753 40607\n12914 46459\n49663 71427\n19274 68520\n58873 60320\n26890 44831\n17646 20288\n13558 17481\n39448 91266\n47224 94387\n60194 94596\n3478 46105\n21597 49582\n3596 23033\n16638 66521\n13033 67817\n1951 16025\n35095 56240\n26836 61289\n33089 83526\n38806 92102\n56451 62951\n899 94793\n25657 33882\n12443 75996\n7383 23436\n34629 48583\n28285 56503\n44906 78460\n32732 77003\n50215 64336\n28568 54302\n16584 83737\n67069 71919\n16129 43408\n6179 80361\n19588 43359\n51563 78165\n36534 70289\n23911 75535\n6463 44050\n74653 94731\n23221 83556\n5258 44397\n29434 44362\n63321 96265\n3492 68070\n84651 85913\n6618 74617\n40701 44362\n3806 86121\n53128 62080\n50093 95233\n11825 12356\n11359 32659\n43992 86615\n11855 73859\n7238 40132\n17855 87705\n30829 66305\n19902 27722\n31081 52501\n38 55192\n18785 93864\n53249 61441\n29387 33696\n29678 84466\n36544 71828\n31873 46441\n51760 80306\n15078 85697\n70282 88128\n31366 41784\n1912 2986\n2610 79720\n49583 90397\n34559 88198\n63601 94880\n52751 72578\n9421 19245\n12126 66285\n48861 54506\n15098 41041\n45426 60666\n55449 59865\n32636 84912\n19549 86566\n15808 91817\n1525 45590\n12043 71680\n6111 86680\n45988 73417\n3967 95430\n5838 53128\n50892 93327\n60428 87052\n59733 87815\n34515 80220\n34906 87825\n36094 67911\n22524 57243\n6029 37077\n16841 56713\n71258 77492\n5100 45489\n31113 91580\n35324 89912\n50080 54684\n77765 91191\n9445 14341\n37412 47186\n71700 92765\n18692 85760\n20311 91440\n24606 27161\n24957 37625\n50039 79422\n31504 82067\n23044 87428\n37943 61267\n53117 95582\n10837 25017\n39176 54289\n39409 46598\n38446 95973\n57042 85258\n13156 69846\n20822 77562\n23915 65155\n4519 40525\n83575 99743\n80316 92533\n41709 49633\n47092 58881\n43110 90757\n30021 40403\n82691 92077\n26977 39773\n34803 35801\n96629 97790\n32070 90154\n61831 96627\n17463 22442\n33179 96633\n20823 56600\n14403 60036\n10863 14589\n49530 76766\n22995 42275\n57759 58264\n34327 89677\n8999 64989\n50248 57548\n54662 87466\n26656 44988\n73712 92699\n9334 73658\n13795 44794\n16437 69479\n38870 80307\n59678 82794\n12869 13296\n15308 24059\n29134 54191\n23260 80802\n2714 7888\n30675 97039\n16541 37613\n18686 51698\n40347 99013\n62963 85776\n27158 58187\n52181 89724\n5863 80187\n46608 97790\n24021 31177\n60086 80883\n35615 80891\n15895 74232\n14213 94613\n8338 19253\n42788 43797\n55321 90347\n64345 98957\n97528 98353\n21567 98445\n353 52727\n58766 83138\n231 85507\n57514 95209\n22188 51751\n10575 69278\n28671 57338\n57654 69927\n45894 54988\n37742 49901\n21112 78043\n54438 71345\n28235 85337\n32337 85313\n503 14396\n2200 76450\n300 78014\n37366 65075\n77379 85481\n11136 51997\n26542 45009\n75827 86430\n28403 69369\n12363 97932\n17073 21936\n35530 64464\n63872 84105\n24052 90767\n6578 96297\n52646 99842\n28993 75980\n24108 67453\n49483 68330\n15704 35195\n59542 62791\n51041 60272\n12454 15021\n48120 49826\n12378 32607\n86520 97115\n2889 30198\n12059 88153\n17833 51241\n22444 89831\n50153 53637\n18174 87391\n5405 59860\n91893 93111\n19360 22099\n27020 86785\n80777 84494\n4374 84412\n44456 85600\n7379 71328\n72640 94071\n26769 60756\n30237 60756\n37365 45047\n48735 94777\n15746 44586\n85006 89841\n11480 22057\n40501 72194\n48250 98545\n3175 57812\n24982 48849\n34570 79743\n18407 29321\n59368 75691\n40535 51166\n16463 64636\n20590 41858\n4449 42052\n13036 50204\n11625 62045\n48211 89523\n44362 71027\n2474 74358\n83128 93575\n58056 76992\n41072 96482\n33234 56833\n4955 63435\n35061 89886\n7588 45591\n29532 63689\n8692 39167\n36619 59141\n57581 58319\n40898 63916\n2370 40293\n41067 65113\n25529 45105\n59953 77007\n86755 93056\n37089 57722\n4969 44262\n454 5106\n419 75935\n2005 32015\n2762 82619\n56632 58683\n51624 70744\n15384 60180\n41680 78827\n12050 22436\n7114 42171\n69304 84852\n20875 80994\n58823 96358\n12003 59491\n9138 25034\n24593 71190\n42473 59252\n2032 20628\n19452 43341\n10475 55893\n11178 93765\n80218 92988\n3591 66173\n36714 43097\n62296 96158\n35876 41184\n9385 71202\n57055 86634\n48985 97603\n14883 95593\n19310 56627\n53029 84810\n12936 20545\n73431 98986\n61897 68550\n12522 58432\n66647 76191\n55275 82633\n46278 79552\n8386 71577\n12714 48202\n38149 80082\n75900 79095\n78241 81843\n34625 77707\n60409 80989\n7087 36375\n7165 29783\n10051 60734\n31908 70638\n32756 40658\n82086 95033\n21994 75463\n2024 47328\n65378 98108\n14357 90637\n38791 92874\n3748 61506\n11022 76058\n1179 7413\n41485 61247\n22075 70865\n11574 87023\n3525 47226\n33345 74379\n31536 57713\n36613 93314\n19060 32672\n2699 68847\n41069 61386\n40204 73508\n79754 89763\n59445 59473\n33098 34451\n25897 81586\n17400 27921\n53456 73591\n1384 79956\n22383 23962\n54264 95173\n32471 47465\n8097 96234\n60884 80771\n75295 88507\n4804 79798\n52275 82789\n28952 99812\n20704 79938\n28943 74771\n10471 44112\n61611 62779\n49687 61814\n5234 94435\n242 83444\n40232 86336\n12662 53005\n48454 61587\n29331 78004\n800 96567\n46562 95334\n51577 68613\n14248 37471\n51378 62460\n42747 63109\n41550 67143\n3021 14706\n36209 81582\n61373 63687\n86260 87244\n37306 91353\n34197 53721\n46187 80035\n8025 23496\n45916 67567\n77422 79311\n29369 96208\n53454 72160\n22797 45631\n32104 81147\n24409 92463\n88166 90454\n24410 44134\n3402 91499\n70565 76273\n11054 42688\n16937 55063\n76447 77866\n18756 81122\n22949 34102\n50842 57432\n4875 21998\n43576 73096\n55932 93694\n5064 99555\n56266 86602\n38166 93150\n1089 21247\n31407 89514\n11776 78942\n26222 83772\n38993 97775\n37262 45305\n22364 79685\n62010 62214\n3094 88524\n36613 58588\n53341 53998\n62702 82459\n39931 78249\n33387 57475\n9158 43860\n2824 60003\n2519 81310\n72990 82601\n27269 68252\n13390 65108\n38994 88458\n12834 52682\n23383 32356\n71521 86578\n51973 92480\n4054 84167\n37884 65724\n84174 86060\n11127 78277\n10691 92524\n6946 84968\n68894 76914\n39459 56103\n4191 51273\n36738 68226\n12502 66406\n39109 90587\n332 62899\n37784 88207\n31479 43377\n31116 73982\n34476 70045\n33411 86899\n36209 47765\n65859 89215\n18596 43929\n13270 13798\n30477 55356\n5214 60463\n34225 81578\n29823 84703\n45229 92777\n82634 99990\n9075 58356\n22516 98541\n1310 36654\n16192 86832\n50948 69600\n30941 57276\n35930 77910\n19420 34168\n25933 89397\n5935 89516\n19707 25703\n37832 93593\n53700 85523\n12231 41766\n58528 88246\n13423 63099\n58129 65476\n43551 82348\n15886 76183\n95199 99249\n39559 85822\n48703 77507\n34608 67648\n7591 43235\n40722 73126\n33182 41974\n58145 62074\n52053 81992\n2464 18251\n900 54082\n47916 63520\n30088 36030\n1634 34371\n601 46940\n68050 91447\n31808 75643\n25963 88382\n255 96495\n43125 79146\n15076 29602\n49044 80983\n59169 90987\n26718 54443\n8066 99932\n5398 15558\n20220 43721\n75844 91084\n4934 88528\n30740 93701\n26535 67643\n54711 84486\n37785 47403\n19139 72393\n17370 69570\n9939 15404\n24013 46957\n2061 61847\n31976 66059\n68105 77744\n15010 78928\n23005 61469\n70560 71530\n59940 77121\n22916 59078\n43046 43683\n11032 77932\n22314 50637\n37076 57083\n47913 88995\n76 8412\n39283 79012\n26762 30622\n1543 69026\n11731 96981\n3019 4272\n53257 64294\n10103 96419\n6598 44971\n11958 73075\n2152 10363\n81906 84647\n5979 73756\n1231 30290\n23959 78632\n10300 36111\n2360 69384\n38332 70847\n51825 85756\n46282 69315\n16095 26694\n43467 86775\n20363 71696\n51596 83205\n42499 60872\n29532 73938\n20491 32886\n8522 53622\n7250 68774\n50269 50682\n42833 48647\n51301 56757\n74429 85916\n49827 64393\n57599 82316\n40416 47486\n31385 61440\n65114 85535\n45651 77170\n38732 47516\n30888 46631\n28134 80689\n54986 68122\n15153 89430\n56690 89450\n58505 75780\n12618 69037\n25906 56369\n79323 99814\n72944 80179\n35042 81902\n32076 63525\n29985 81254\n49153 52882\n13785 75925\n46777 53985\n68985 75482\n33687 46463\n38201 86034\n46779 72182\n25066 89451\n61127 83778\n21737 69036\n310 8173\n10715 59112\n29329 52555\n55540 98882\n23167 83094\n31830 71340\n45348 77593\n4754 44342\n13177 69003\n36798 95612\n61656 83432\n52350 61745\n49259 64796\n58683 71848\n29673 73818\n4297 18670\n58415 60113\n344 24563\n378 30505\n27798 72430\n34933 65085\n48460 94650\n6557 22524\n42453 86646\n29892 73695\n25607 91224\n11454 94019\n19814 53737\n38430 62744\n52628 94559\n65225 65673\n69534 74962\n20848 68138\n25041 25686\n948 80377\n8909 64022\n2207 51281\n26159 49421\n34123 44005\n61367 81494\n56802 73637\n50618 70957\n14151 18818\n82211 90881\n53009 81380\n14858 93659\n18708 99457\n25986 66253\n59647 78425\n90774 92001\n51549 94868\n41933 93968\n35338 99172\n12433 41559\n37598 95861\n69464 99646\n18383 60014\n14906 19080\n15463 32684\n49222 99299\n40196 88011\n2945 46071\n68003 68304\n29990 71289\n12105 28338\n12183 35017\n17732 32284\n36010 59736\n81616 95813\n1721 28278\n11352 47393\n33356 48833\n30902 85352\n1578 42855\n60637 93673\n229 51294\n15296 45633\n21842 64867\n5949 40356\n11503 22701\n4004 9302\n10419 68929\n44334 94603\n46273 89676\n25697 84153\n12645 74144\n73392 82463\n31637 31992\n20652 47567\n18005 35872\n42099 70993\n14943 25906\n14333 35522\n61926 99755\n43372 81865\n14763 30568\n22889 55794\n11327 84953\n8473 64111\n77428 96382\n78122 92868\n47901 96351\n67023 98229\n51713 79474\n54588 87834\n18856 45817\n25143 64839\n17422 70097\n39616 99995\n7980 17968\n2955 6373\n40889 50622\n47338 85712\n21905 70292\n45892 74636\n1048 71116\n72145 78284\n19193 72776\n2341 79820\n25033 33677\n77660 81057\n60312 73573\n30762 35206\n31748 52706\n8660 33236\n6866 69404\n58715 84605\n59586 86466\n17269 39452\n44297 72142\n36637 55050\n5901 49786\n67498 84236\n37151 66459\n13379 56269\n39297 44034\n37856 40684\n40438 62380\n24329 52386\n564 69776\n43538 78892\n47570 74798\n4726 90258\n52054 79824\n43771 64213\n29079 79265\n51399 78788\n32975 86678\n36038 48313\n7297 29694\n13739 71577\n18024 77414\n61307 68078\n29796 94885\n84092 89050\n48407 53689\n6096 6741\n69667 77363\n56351 81092\n24616 29663\n6049 22656\n44635 48667\n8739 51138\n64806 70283\n6366 62511\n4130 76479\n12079 38240\n20863 28716\n49941 75398\n78631 95623\n94233 98483\n34317 63708\n16980 55743\n9408 74516\n32498 92943\n82048 93223\n43914 86767\n43493 48128\n15054 35072\n20481 43107\n56732 93381\n45190 74271\n63084 80397\n11865 87408\n5722 61340\n71831 91327\n27955 28269\n32779 55392\n46815 77427\n51898 99715\n19993 86984\n8559 19880\n55357 80887\n20136 66674\n56339 77751\n8770 16056\n13487 73504\n24068 50360\n98136 99185\n17230 32646\n87222 96772\n8262 62882\n34400 38114\n10865 75069\n55661 73223\n9753 43253\n8301 12717\n35286 38962\n4102 62029\n51923 76136\n44835 51946\n6846 37534\n64079 74185\n77836 88808\n10173 27879\n18302 96601\n8768 59136\n80983 96188\n33249 47025\n33972 60377\n17983 42975\n4169 68618\n46217 75343\n38813 54394\n28540 32953\n54898 79220\n34031 96159\n22281 41675\n991 73431\n43093 84682\n50443 65265\n46778 70894\n10180 34415\n16435 39732\n30864 83755\n24186 49471\n67245 89295\n13578 49753\n32411 95101\n18112 41971\n82905 86945\n16861 91107\n2806 55595\n3463 95763\n40124 91181\n80949 81769\n16986 86369\n880 49050\n34689 38557\n88526 98753\n11014 48033\n27044 96273\n8398 33383\n31967 92486\n6569 79187\n35088 84971\n36092 65297\n30439 82969\n1128 82967\n12190 57075\n57707 90668\n7 11894\n16040 25376\n86795 91829\n40635 48867\n8771 61224\n14094 75583\n30966 97975\n47079 57078\n9954 22954\n6664 75364\n29018 44330\n61592 97708\n10710 57984\n38434 67571\n7749 41917\n55111 55527\n29988 86889\n30093 48405\n37603 64648\n46375 57300\n4779 95511\n33944 73176\n3439 58919\n32183 40672\n17753 90556\n24805 28257\n29571 44115\n25941 53120\n29861 36598\n14396 69043\n23568 90496\n10738 44717\n89907 99272\n29433 68781\n84618 87997\n16281 88049\n50530 63219\n5599 70540\n90599 99121\n75200 80913\n17532 44398\n31526 84404\n18090 62528\n17774 36952\n54750 65476\n42111 71147\n80973 93590\n5148 70368\n86975 97143\n25028 55637\n27555 83671\n8911 68613\n61247 80362\n23297 93295\n32116 81022\n23612 97458\n30605 85904\n17 63929\n24938 65670\n63671 82385\n43453 92866\n5072 89302\n83454 99902\n20996 38487\n20363 53769\n50310 94425\n41486 86614\n26905 42067\n14114 55250\n28265 69424\n56300 74701\n47636 72943\n3045 82555\n10957 63615\n22018 69281\n25580 66947\n10812 59459\n21299 27512\n42900 71703\n57169 89632\n20168 49050\n70777 75596\n11555 44705\n36934 64199\n11410 61670\n33363 45957\n37097 90331\n63608 66173\n83897 97051\n7530 62821\n8028 89514\n91353 97905\n4364 53866\n52592 76739\n96946 97598\n9979 14039\n2019 27818\n37334 57484\n13747 64989\n56476 94040\n65441 73175\n19399 75522\n26705 44458\n3921 71920\n68620 92221\n37614 86985\n58995 94240\n40765 62235\n46206 76870\n55981 92603\n20943 85380\n51894 87374\n39127 48891\n10108 91013\n4233 24977\n4084 76569\n45778 97351\n5927 70509\n3270 71743\n70108 78829\n18208 34823\n49433 58183\n11640 62787\n1449 80543\n9712 41424\n90823 93498\n82596 94213\n22533 66719\n25890 45229\n12679 14198\n19395 60075\n7930 48509\n24036 97431\n37047 89372\n34834 79410\n43429 77497\n20343 95229\n47265 52411\n42448 68848\n32370 38551\n21937 35433\n55158 85055\n1756 86371\n43423 81906\n59562 72514\n21496 48419\n240 99414\n45036 57494\n7084 62600\n30554 65830\n65646 78015\n31212 68220\n1727 87523\n15674 16427\n6074 90089\n11673 17321\n7546 46305\n27056 75944\n34693 97735\n2528 31439\n49296 69596\n1218 88614\n18353 54387\n8935 11705\n24080 52854\n53487 63238\n36098 91605\n40749 44371\n10550 21539\n6571 14719\n36006 40429\n29837 31619\n7885 56557\n10214 21403\n42355 61854\n64206 91780\n1149 6167\n13608 21303\n37900 44799\n42390 48463\n23249 40118\n38510 50680\n70240 91490\n15744 21507\n35375 63653\n6904 56717\n27258 36080\n22872 31250\n60608 73010\n53100 71180\n30753 90582\n25144 92854\n15566 26290\n21303 91733\n25280 91676\n56257 68803\n42422 99482\n17291 29124\n25109 56130\n32610 36245\n28334 41325\n28304 43209\n18903 56089\n61868 75664\n40374 84910\n79632 94108\n20117 71043\n56134 67029\n26935 52324\n12624 20810\n64632 88283\n834 24040\n38894 50683\n10426 43291\n10221 40812\n70007 75282\n4471 48073\n37027 46843\n22456 58116\n40413 43454\n29919 32044\n45058 85989\n45432 69469\n28951 98040\n24065 79898\n803 3096\n12922 62493\n34923 96612\n30209 38219\n9085 81872\n18721 21028\n36958 62459\n9779 96091\n14096 34370\n23182 67323\n9284 53735\n22093 25066\n32253 63952\n73761 75375\n93749 96424\n57469 69336\n4723 78888\n27492 33557\n65882 98749\n42189 90855\n7362 75302\n32870 97927\n79320 91529\n3474 48010\n77062 79404\n13312 35849\n7983 71706\n41882 58485\n11222 54936\n1075 20548\n73149 97165\n14880 37703\n25480 88214\n3666 28159\n261 91332\n41557 75590\n46928 56792\n34780 36490\n14109 23530\n24348 25412\n20284 61056\n9483 16064\n34402 38457\n67881 93736\n36290 71704\n26032 73423\n56173 69890\n68437 94824\n24681 44464\n25797 43935\n48831 62752\n2902 10457\n15062 83321\n28991 62255\n3355 90575\n49879 63004\n59930 64058\n44870 91937\n9460 89750\n25500 85000\n63039 82449\n20589 49833\n67421 89948\n59446 81815\n24364 49321\n19872 34037\n58731 98164\n9354 59004\n39188 94934\n34187 70851\n47016 65612\n23547 60476\n12220 73659\n71695 72770\n8664 77751\n17019 40875\n53815 56103\n2742 86422\n21783 63493\n2886 84627\n27463 97709\n14259 25049\n15684 87396\n1059 47878\n57023 77009\n17264 29426\n29928 93964\n55060 71384\n43752 80932\n35441 41893\n11295 85498\n44250 95095\n26044 88037\n24853 53154\n28880 34257\n8578 84875\n42816 51248\n1698 54746\n42916 87448\n12264 43169\n7590 55240\n2052 4677\n10888 17592\n56949 96775\n1180 56071\n69085 78371\n38007 86664\n43114 49314\n33877 65339\n33690 61203\n26342 48288\n56526 80797\n63194 94776\n26611 61027\n21108 53539\n84303 94732\n79101 85269\n739 22481\n49164 64031\n19008 83638\n27961 39950\n30201 30632\n33237 47516\n16328 83769\n9263 89335\n26123 53814\n28418 77645\n41219 76783\n67073 78961\n19565 27931\n25645 95268\n32026 78363\n18187 87624\n24483 43958\n55059 77940\n10097 70429\n8557 15962\n16780 55650\n32268 39724\n36706 79523\n26505 91887\n61014 91070\n41961 55678\n6852 52751\n48695 59208\n13944 92474\n87253 94736\n3362 95293\n86253 91889\n67548 85996\n19945 97236\n19893 67218\n37866 71510\n8511 60340\n447 55832\n90205 96683\n33155 58280\n994 85115\n25157 58307\n24323 57835\n13512 53637\n49401 89314\n1537 98471\n8907 55218\n60740 69694\n34839 72398\n22101 40296\n16148 47590\n5550 62834\n36342 76234\n10754 44768\n33941 87118\n1385 92500\n42999 53100\n35131 36590\n874 93281\n23319 35858\n23394 73029\n10985 30224\n23320 89380\n7223 21698\n43070 53213\n25332 42737\n31839 94008\n32330 91290\n25935 67736\n48537 71237\n32407 84242\n17655 61166\n9901 74730\n1586 18426\n35147 44673\n43962 99369\n29828 85820\n10585 97789\n28356 37174\n52319 97209\n79729 98531\n74452 91778\n37934 40099\n20391 93660\n3615 70481\n27257 94177\n3029 73978\n79877 85006\n3713 61827\n4418 23332\n5022 72887\n11342 93029\n10265 43364\n54267 58286\n4499 38361\n41260 76975\n49462 89775\n33977 97462\n27584 83817\n3134 37865\n61641 90758\n29263 42252\n20258 85071\n73479 83145\n8642 90063\n4075 62773\n585 18799\n27737 41791\n15890 74257\n4123 50022\n5997 77496\n10852 65974\n19049 55442\n40312 88810\n257 16497\n21536 74616\n17693 90814\n49480 76065\n4823 48934\n7797 81267\n63486 98443\n53487 88298\n2233 44866\n24238 39792\n7240 19117\n26781 77340\n49304 67193\n26846 35620\n31274 76233\n23760 61121\n37082 70931\n67710 87023\n6278 12229\n38045 97419\n80806 93613\n27953 96360\n23828 71005\n39492 67314\n24628 44619\n48284 67428\n69876 71716\n54765 99075\n91418 98955\n6237 62154\n36563 88223\n86292 92995\n22310 47808\n3542 84791\n43864 99251\n29608 81938\n9627 68557\n32810 35968\n8612 70967\n83544 95569\n2777 38255\n25150 44462\n11233 88766\n1627 4825\n28727 66195\n55906 84486\n32163 40109\n30529 51259\n61047 65298\n11568 26299\n66481 82422\n9137 70674\n27388 91048\n9459 47252\n13897 96179\n39121 99393\n6568 52176\n4940 59659\n51124 91827\n21424 43839\n29243 82844\n23014 32758\n44019 45990\n11158 24557\n59858 84853\n88662 97596\n47605 62741\n3716 52594\n8739 11948\n53466 62455\n6198 16327\n3888 58712\n51853 70611\n69353 88311\n1530 59449\n43697 88492\n18395 36834\n46506 70723\n38327 92859\n16063 66505\n16049 53072\n17942 21627\n5195 9696\n5673 36683\n73235 81000\n59312 91412\n9471 9769\n49152 74632\n47187 48733\n43280 81484\n84160 92500\n70089 79919\n31735 57493\n45987 63992\n4859 49167\n12778 36977\n19536 59014\n6025 89605\n9848 17662\n32721 86044\n70343 97375\n16506 22633\n12003 48976\n62519 68556\n23676 41419\n19243 56627\n1747 41522\n68661 79392\n11334 67031\n60046 95864\n78971 87634\n21421 38439\n30623 36079\n47008 58410\n18100 77502\n3265 86484\n51367 69581\n34842 67693\n61949 98680\n16224 27592\n54338 57076\n34711 51042\n12202 90010\n3108 96674\n28927 46301\n48911 60631\n55804 94668\n7490 65005\n42450 50142\n18187 85670\n88928 95666\n18928 53692\n29900 90395\n66387 89400\n79964 95876\n11047 58199\n32956 89992\n70919 80135\n63739 90644\n71298 81629\n23060 26156\n9936 91663\n83957 89940\n12666 90984\n52398 67008\n16017 74843\n52082 74390\n1838 29299\n288 78218\n39298 89325\n94465 99368\n52664 55877\n27649 66761\n43471 94451\n56964 99672\n43577 64042\n74392 74818\n98273 99133\n42898 46823\n1338 72194\n5334 19164\n31790 64906\n23088 90379\n4168 82289\n10475 61614\n42496 53514\n47281 88191\n3094 79984\n26479 55040\n23512 57671\n79621 95557\n70227 90573\n3653 6193\n73692 89966\n30442 62704\n54810 74142\n239 90754\n38140 71158\n18824 34386\n21845 25993\n51777 71836\n38315 94918\n5059 33844\n22583 57036\n21040 71409\n31527 49628\n19399 70925\n1516 74465\n6043 50075\n38786 64523\n11341 92237\n16424 23786\n50031 82427\n12858 44407\n26436 71726\n10100 93822\n7325 59301\n14149 45359\n43509 75567\n21029 64319\n36623 91727\n21681 52198\n54078 59835\n21886 80921\n15425 55428\n21079 46977\n8574 16875\n16226 77237\n44819 45196\n12113 27744\n33005 72720\n51911 87657\n17429 86328\n42252 73845\n31321 46276\n15477 24678\n21707 32314\n8613 23605\n15867 87309\n34372 89711\n31973 97359\n12061 95361\n58 58503\n5409 40704\n3242 67384\n27384 89117\n88304 97804\n37989 99842\n37662 82125\n46511 53973\n54231 94813\n30151 34662\n14429 73506\n2498 84627\n27421 43913\n39578 57584\n50340 50556\n40782 70505\n43735 44294\n24909 41588\n73292 81507\n24468 48321\n19506 38084\n17123 90873\n41330 92715\n9566 13523\n27516 33310\n37318 60084\n49153 72498\n48028 73273\n9037 14711\n3720 8943\n62120 97837\n19073 93293\n9377 22921\n59879 61697\n4794 62878\n20813 35347\n36675 88161\n1491 12417\n66937 99594\n67992 89847\n8399 58919\n11286 64009\n32405 75572\n64758 88000\n17914 94310\n23821 61042\n75735 90124\n2820 96924\n53482 90879\n9857 68498\n75 50221\n16909 35366\n8046 78769\n29512 31149\n14787 75150\n89485 92349\n82197 92950\n29502 72991\n20152 55679\n990 15158\n45941 46826\n56603 64012\n6690 97197\n6985 55550\n38018 53770\n12558 98298\n77919 93132\n80186 97738\n32187 75545\n28339 48353\n88184 90143\n36460 84702\n25762 93147\n81361 90713\n56054 63880\n26165 41958\n89975 96287\n25352 39157\n9987 15607\n8851 15572\n35509 39001\n67528 68089\n27242 70307\n71262 84263\n1657 17122\n20307 86763\n56180 85551\n64086 96239\n20832 28983\n59696 85137\n25661 77194\n83132 84163\n64835 71846\n25333 28576\n22116 84152\n18857 33519\n10090 45237\n36974 58561\n33598 59007\n4552 27948\n19595 43868\n14501 61003\n18321 51423\n14797 31694\n59063 75013\n11950 71443\n74655 90133\n45520 48512\n52620 98559\n86455 86717\n4904 8231\n3431 33805\n35617 47585\n39562 86107\n25197 96733\n17404 83528\n14552 67889\n41219 86090\n75951 90818\n16158 94465\n62269 90979\n1302 63371\n61148 74654\n4060 74972\n36494 56296\n70772 91880\n13972 25887\n37119 38065\n27201 38031\n5608 72657\n45750 95601\n87251 95850\n13628 35371\n32248 64642\n38043 84060\n8300 85693\n56380 68101\n27336 74215\n84951 88600\n62218 73618\n42798 82941\n33872 77085\n89072 90637\n125 90728\n7851 35517\n19315 80303\n33505 97092\n77002 84110\n7791 9346\n6244 42921\n28296 70719\n2152 50663\n50956 72023\n45324 84885\n58606 73142\n33047 97567\n60340 82963\n10040 43480\n52276 89433\n17842 95449\n11370 31116\n40216 58761\n13179 93019\n47971 98539\n25659 42321\n5326 40994\n26643 54232\n4703 13979\n42086 66824\n20167 29323\n32644 63110\n33107 96319\n35818 89664\n4710 52885\n35616 94198\n31136 46912\n9199 71256\n59649 76018\n50715 55078\n9844 12808\n11630 24082\n21440 68309\n23032 76070\n13950 66491\n22717 53138\n57882 88642\n43385 65049\n4581 17866\n52034 52060\n30433 82247\n3498 47744\n2368 98648\n1707 80660\n16806 78067\n20846 87509\n13269 55508\n21652 88110\n26228 60697\n31873 61140\n53885 58533\n21111 59364\n56594 64838\n48675 96047\n4433 31582\n42694 95760\n28420 34406\n64957 80098\n25882 75387\n40254 61607\n52279 83866\n12468 74335\n14543 91995\n9236 20610\n4311 29525\n66291 88360\n68105 86129\n8642 15047\n82875 86010\n7091 35938\n9571 13761\n20615 95146\n78280 95208\n39185 87819\n5141 53261\n52760 58643\n46752 73588\n815 11599\n7960 56121\n25156 75601\n18565 98139\n60412 98787\n205 9380\n55827 73189\n49543 92545\n3006 40049\n16161 38594\n6975 93305\n69920 90627\n8330 69955\n54670 59940\n8441 63185\n85868 86252\n24685 75691\n69961 93921\n53278 91700\n77942 83400\n47863 87541\n46273 66696\n12844 80441\n87852 95305\n62212 72901\n28362 69865\n19776 84781\n56270 93120\n63341 90424\n19051 76348\n11159 24610\n466 31155\n58498 88631\n18645 76001\n41034 55669\n45499 75648\n66977 69072\n8431 97306\n42902 46570\n47146 99242\n20637 95265\n21460 76430\n36755 50654\n46895 57428\n94424 97306\n19266 64534\n40359 61973\n41554 99463\n70006 76745\n11042 86734\n36601 60822\n20718 53236\n7915 17570\n815 49434\n15053 40811\n24580 73373\n33950 86006\n77219 81299\n31665 86430\n91015 96451\n69971 74372\n75908 88609\n34157 64900\n63529 78435\n8776 27212\n15951 36914\n28966 58439\n35086 78808\n39002 80726\n11527 25181\n44721 52871\n41425 55017\n44923 72349\n86347 89880\n1921 29806\n16761 72828\n50471 97799\n38848 66399\n90718 95973\n35144 52836\n41713 64312\n16303 16531\n14942 50436\n78407 94644\n34204 82980\n25558 77239\n3560 33292\n66495 84912\n28403 61628\n4655 19312\n24422 99837\n6770 47966\n37871 68887\n23017 77924\n18965 67214\n66512 78816\n40844 87978\n23496 70270\n1337 99086\n2313 50572\n79838 91329\n22839 40602\n8795 84384\n14563 46274\n76865 95963\n28844 81246\n44996 73231\n17221 50961\n56995 91111\n51782 64910\n15627 68853\n9866 85945\n4334 98273\n12267 40573\n613 71678\n20277 48540\n60695 61079\n16658 44347\n13506 35498\n14127 87395\n32735 46367\n66581 97321\n12114 60575\n43751 64006\n43795 88937\n50179 77116\n49805 61214\n39085 97196\n4385 7510\n42746 96413\n24690 57081\n7397 13066\n12124 76547\n12753 42239\n2692 68863\n38800 84172\n61802 79455\n47958 80510\n37948 85019\n36676 51139\n65235 76817\n13979 70683\n31901 97058\n42259 82932\n9266 57492\n24877 34190\n26912 59001\n2823 49222\n60192 90247\n7422 43468\n64042 76866\n34798 52892\n27163 70681\n56925 72429\n14400 78059\n72835 83968\n64773 66392\n1169 33472\n73670 74404\n3886 27149\n19321 93498\n6696 34872\n28260 73281\n13713 98568\n30798 49919\n45049 47516\n48492 71731\n45368 65054\n1777 10232\n51759 55728\n15398 46987\n48053 63949\n2606 56034\n11038 38782\n39990 52486\n21823 78837\n53839 71962\n11530 29471\n94412 95107\n34000 64408\n17934 54972\n52355 63074\n52441 66169\n16692 81234\n42052 85585\n75511 87061\n32839 77215\n24535 28669\n56202 87057\n41373 83913\n8605 12822\n20012 45542\n3227 63568\n8402 98453\n24417 30581\n6903 8637\n22452 83559\n8580 63890\n56572 62699\n26067 69936\n29109 98386\n19414 23573\n64102 86363\n20513 56188\n19377 95875\n35723 63099\n65274 99618\n5640 22148\n76651 94804\n7373 21859\n7295 17899\n23726 40301\n16017 77681\n76896 91178\n21041 39945\n18800 93842\n10886 60087\n20919 43908\n34351 72452\n6085 74551\n11748 64218\n11310 25722\n3474 70357\n70079 72280\n61554 92120\n19755 68790\n5751 29352\n32402 75738\n46125 79239\n6901 84188\n33635 71801\n9068 57428\n70473 93553\n61658 68053\n44449 63673\n26816 95850\n72607 79944\n7109 26994\n3863 77243\n20301 37814\n17837 95725\n44370 59851\n17193 56300\n18898 65554\n75859 85199\n20591 94161\n82007 87171\n15564 66326\n27361 93296\n46417 58554\n29914 35214\n74296 83487\n5462 94063\n22126 87216\n36901 82483\n43036 93856\n58457 78439\n5433 38050\n11231 59941\n77586 96311\n52553 92561\n27407 57420\n3246 12925\n383 37654\n51615 69352\n24395 64861\n9974 19287\n2815 48492\n56006 65165\n29567 48486\n2707 92939\n41251 60790\n36989 42441\n1496 49556\n45655 59903\n11713 16217\n9556 51419\n64433 97461\n29839 55246\n57194 59224\n60224 61938\n17233 95980\n18004 22464\n62687 64372\n84379 94094\n7544 59220\n51582 52747\n1076 20604\n57154 61962\n38729 90743\n10550 10976\n17934 96319\n37452 64932\n23177 32854\n9034 54153\n34055 94089\n40426 95921\n30686 88668\n22215 44698\n58508 59451\n56122 87583\n3751 71873\n25128 84943\n35962 52589\n8746 74868\n34490 36202\n184 81493\n34187 43957\n15490 34818\n3452 53577\n35819 94735\n18645 60614\n3779 72958\n37351 53331\n46238 92851\n34702 38576\n64564 93341\n73506 92915\n37116 85251\n6281 83411\n65963 88573\n3066 72027\n28122 78956\n33830 44230\n4252 82244\n92292 96181\n54753 67197\n139 65967\n69993 96283\n6488 55335\n10869 33875\n16850 33954\n45265 92728\n36905 95579\n71186 86883\n45161 49044\n44259 51462\n63953 91673\n4903 98856\n62348 62942\n39045 88626\n60563 88971\n2216 28361\n4949 92143\n7036 69792\n66743 91202\n83911 88855\n50310 65784\n35059 83830\n12568 59853\n14072 93138\n6117 29902\n3139 92247\n23397 25970\n63651 90860\n15216 57578\n17900 58657\n28680 95639\n77299 77385\n52834 67807\n15398 77923\n64814 81682\n11232 80752\n20468 92601\n24665 98598\n24333 90319\n8761 67608\n7496 23213\n64005 93283\n8580 24721\n322 55084\n47694 83265\n28498 53177\n25587 90452\n7935 17020\n8095 49961\n53630 83637\n47516 95422\n36563 64780\n43640 74182\n15286 18544\n11312 39982\n56460 65973\n8365 73620\n33822 64015\n25574 25580\n56979 75543\n930 10320\n57163 80290\n71122 78870\n17062 67616\n35872 83320\n53393 61613\n19885 28505\n21139 69125\n3543 12810\n956 37933\n28377 76045\n4138 39985\n3736 87072\n3786 30526\n39704 67918\n5904 32953\n13402 66635\n12407 64677\n44284 70283\n54428 59851\n20683 22036\n21515 64545\n20500 42077\n29317 84532\n21472 93982\n37252 55864\n9867 37863\n69404 71151\n4038 76025\n68376 99469\n12416 17005\n48760 70570\n30044 89336\n22055 98784\n211 24375\n35550 65348\n60093 87123\n10334 12339\n39770 41131\n12479 12640\n26769 76322\n56439 57720\n7031 37012\n18827 95188\n6218 86902\n20487 42987\n47961 61440\n33133 72880\n3996 27257\n28131 89370\n69055 77494\n87272 88590\n32970 90886\n75476 85086\n15994 92148\n55790 94585\n10750 95628\n89648 98218\n43412 68794\n553 34053\n67939 72513\n93189 99171\n40620 77740\n8178 56283\n80092 89826\n22024 87900\n59712 78278\n71964 97871\n56414 91613\n29589 37221\n51295 73845\n4627 24024\n9574 57622\n2330 65071\n38703 41693\n11728 44870\n37373 85758\n45255 51059\n2191 4505\n25794 56510\n51122 56677\n49498 99514\n5891 71800\n2677 4643\n50873 58123\n67537 85131\n3819 98385\n8807 22417\n68716 95909\n7643 27145\n13280 24320\n31505 90073\n20789 48424\n88920 96633\n87874 88236\n714 87259\n56453 80918\n33758 66253\n74061 78781\n11737 46048\n67439 73924\n22096 84797\n51036 82094\n65709 69919\n16088 26713\n20068 34491\n42706 88686\n84810 98859\n34155 38213\n74725 91255\n47952 76830\n61871 73908\n32680 36088\n60363 71670\n11971 90633\n8629 16308\n78162 78467\n11207 41462\n33418 36309\n32874 51972\n3049 40797\n13536 79771\n26558 93824\n8684 28713\n22465 61864\n19107 29201\n15458 51264\n20384 41983\n58487 68243\n66708 97201\n61011 68942\n60491 88970\n51875 71572\n53883 56324\n35820 59919\n85347 91549\n69919 95715\n7471 97203\n84581 97055\n36018 95744\n45700 65648\n2647 23408\n41413 66369\n34896 51692\n51839 62824\n4890 28692\n36812 38251\n24608 99401\n59509 73950\n39958 53881\n18697 20117\n2029 83185\n13584 97453\n82863 90611\n29181 31263\n56692 67941\n37677 67239\n89101 93542\n2522 93346\n38877 46711\n2808 77167\n5562 22348\n32315 66087\n19178 63705\n3860 87116\n55634 57122\n50190 67275\n60142 87110\n35427 85055\n17010 38295\n20010 47260\n26617 71176\n1927 67981\n50146 61318\n53722 70029\n64907 84586\n41930 65801\n51431 58083\n39285 84250\n77651 90963\n63534 98335\n36682 37864\n7547 39488\n44898 45172\n44758 66755\n74279 92366\n2152 42375\n78419 85967\n4217 45010\n1569 28112\n18216 20768\n61679 87800\n328 93161\n92389 99139\n3581 16652\n3488 19631\n21560 81648\n28796 98435\n11921 16679\n12497 73815\n31611 58245\n28106 77805\n38109 48329\n30370 69453\n49398 75739\n41587 96090\n64006 66066\n25855 63123\n2386 37899\n27167 74702\n35277 79508\n23684 32841\n59805 95659\n13726 86009\n12391 43460\n17294 94802\n14453 23606\n37792 64390\n14583 54624\n53037 84282\n12006 13339\n30324 88845\n49899 98906\n17264 25618\n8817 62371\n33576 73541\n52684 66190\n42518 96718\n19181 47693\n24476 35337\n14090 35023\n12244 80953\n20859 92666\n39526 75070\n13465 42623\n26280 60878\n59257 95389\n7009 36355\n32928 77543\n58797 79876\n43646 64028\n29560 67415\n23544 74810\n9998 57680\n45507 96497\n20243 31144\n16926 75829\n12840 78554\n33719 57598\n76207 77299\n59594 63892\n13388 49241\n38629 90900\n41112 79642\n11373 28197\n24019 37970\n29153 29713\n4289 5178\n78964 97759\n30091 86752\n70151 72239\n28598 57906\n52049 65727\n41924 92368\n70195 88251\n3448 63605\n11930 91604\n39571 60576\n26295 54471\n15039 42513\n42916 95117\n54014 87907\n16988 87011\n59034 92151\n69116 88184\n40647 81341\n25545 41428\n14010 27657\n55253 94861\n26787 54098\n38634 44384\n34635 47298\n44787 79655\n9345 44376\n44831 86593\n33011 96576\n2908 74064\n1569 55094\n63472 75998\n21723 38310\n21069 30221\n33671 53460\n64650 93525\n41035 57183\n2658 49785\n83741 99359\n41102 63051\n56445 61008\n40408 48680\n18768 89766\n21263 64377\n54267 62665\n21716 96366\n46542 87484\n29091 88896\n14762 94592\n46907 51157\n66764 94521\n3350 96431\n25417 91804\n14603 35033\n4203 81135\n15239 55093\n48448 63920\n15411 92775\n50980 66414\n35969 82883\n1209 33845\n63114 70295\n20629 90493\n85562 92443\n63443 78710\n63316 85622\n23061 74643\n40079 44331\n13047 67588\n20 34750\n12084 59528\n15835 99616\n16770 74487\n37706 95183\n43187 98763\n8021 42199\n22286 70277\n29895 31461\n16723 90848\n15354 55327\n19595 75858\n32387 96139\n6010 22575\n20208 63746\n47770 92118\n44851 96465\n33629 55994\n14547 93399\n5924 53425\n49340 59124\n40486 70110\n34357 96013\n38891 79388\n69826 82474\n16194 89093\n19818 68565\n21491 74966\n5613 18439\n9869 27212\n72611 87360\n25534 88015\n7349 55671\n22467 39190\n57315 69445\n1917 39273\n24954 71558\n33169 64613\n10939 16575\n25602 76903\n12871 32448\n47644 93749\n26866 32294\n24248 63186\n24147 85979\n11535 84281\n42780 97154\n55663 78204\n18077 36888\n58612 61435\n32322 56351\n39440 59154\n25817 27412\n40554 48777\n12543 89577\n42671 55111\n40548 95396\n14487 65895\n73522 85871\n10379 85185\n30829 60794\n1766 61121\n45902 51202\n12531 19790\n79076 92080\n91435 98753\n35809 73622\n859 20221\n18941 85071\n35722 45714\n61388 89801\n24629 52113\n66908 75966\n22568 54209\n80839 84236\n51236 69957\n30836 32382\n5127 48545\n763 78149\n28663 77288\n11723 15118\n3419 87094\n54673 81478\n67365 87930\n21426 23059\n45044 68343\n2667 12827\n761 10091\n38548 85781\n33123 84628\n32915 72904\n24814 88098\n31475 46948\n77609 88955\n85658 96773\n47228 76674\n40060 58647\n96452 99692\n61080 65111\n39089 63422\n10026 70034\n69040 98965\n22232 68174\n27737 45446\n26452 70024\n72506 96959\n66840 72739\n52864 94940\n27637 61966\n56132 74970\n2142 95631\n51387 99405\n25048 92413\n12231 99328\n6964 37120\n18281 76116\n8260 63783\n5947 38966\n10839 55328\n48955 59838\n43258 76337\n64949 96695\n59936 99581\n42457 83474\n68758 70893\n61217 83528\n3491 85853\n33750 96850\n14372 21526\n4846 25299\n76269 90685\n14752 44942\n66648 90200\n69643 99764\n43088 56762\n33386 51972\n72719 82967\n20065 91263\n53273 70289\n21192 80923\n10962 32461\n66388 95676\n40913 87877\n42680 52665\n45082 53614\n22456 74287\n57921 70917\n76999 92465\n38998 66233\n22045 46196\n62826 62828\n63823 78060\n45308 93531\n10320 90557\n3613 44620\n30457 53619\n21031 64990\n9328 48032\n27567 98883\n73060 93766\n2166 77258\n98092 99069\n9115 61404\n31337 96948\n1246 6813\n28867 44117\n11988 28351\n34965 52522\n78346 89501\n24894 25411\n3919 64636\n76303 77798\n16385 55295\n18255 60911\n5247 46493\n7502 86376\n47771 66215\n34476 65303\n18905 70087\n51129 69127\n35000 54986\n40621 87831\n21150 59367\n47208 83002\n15639 71918\n81609 97010\n25587 88867\n28886 63594\n79641 83564\n14742 69147\n8242 9748\n69699 73468\n13628 99078\n16686 70101\n39243 66071\n66198 70932\n50579 99299\n20741 70408\n3932 87188\n8279 69931\n67812 98376\n87611 98068\n15993 87787\n16294 80277\n38008 97310\n46090 89736\n2536 47834\n86966 99574\n27823 90202\n582 61475\n32464 40850\n78321 83981\n4807 7949\n3127 13227\n608 95843\n72212 82102\n35064 82484\n8068 56909\n84927 96078\n39785 84550\n3268 62267\n77521 79318\n43498 71816\n12918 58958\n12571 57929\n48209 55937\n92496 98506\n6489 9767\n6114 91368\n60652 62135\n32254 94984\n9042 27894\n40740 51093\n55487 95931\n5170 51073\n51092 68020\n32522 65652\n9253 93380\n28875 44317\n76857 88373\n41665 51730\n7679 80018\n404 20577\n3661 58790\n25717 62470\n20008 69688\n55485 93852\n18290 34409\n9093 97274\n2422 54378\n11929 23003\n54056 67858\n68513 91722\n11873 60896\n95605 96786\n60992 94283\n61665 99335\n15044 93497\n24932 88562\n37651 58868\n9975 84506\n62287 95652\n18258 75516\n51409 82744\n8280 47324\n37206 68572\n12638 23428\n38354 55736\n24294 81155\n12356 82218\n22110 88812\n43552 66196\n2352 61615\n16033 83398\n46929 98270\n14285 87456\n4836 33535\n16598 42754\n40586 52740\n52259 83394\n18508 80130\n48334 79269\n15090 24180\n29220 94350\n15377 45745\n18473 69717\n31794 51739\n18630 28568\n15512 90345\n40050 65169\n12978 86865\n43973 50785\n43269 52262\n21165 21260\n47628 72296\n46231 70811\n4855 19572\n21064 52797\n67956 68246\n62903 75503\n10902 50244\n31085 75806\n61261 75155\n16711 53645\n27349 57767\n29189 83492\n66040 83717\n68722 75467\n17296 85039\n34086 86428\n91431 98745\n54780 90655\n2767 31884\n43354 62532\n1494 81199\n10777 54288\n35126 63616\n22042 89250\n43070 49782\n16073 54119\n65143 97619\n140 93110\n38158 44716\n49765 84448\n77774 87775\n31101 38526\n4219 15606\n41826 63665\n15868 16111\n45812 81080\n48763 78949\n68904 91015\n26295 73352\n4147 32934\n24260 74977\n23723 96285\n58843 76990\n994 47663\n67125 71306\n2396 88068\n38094 57637\n4080 32745\n18286 93318\n4371 17447\n7989 87913\n48537 71160\n66742 79681\n31203 34448\n42374 72257\n34554 59047\n15411 49480\n19645 54584\n4896 52546\n49176 93388\n50764 76771\n32893 89390\n66457 79831\n32254 91495\n208 57986\n33133 64149\n30249 89094\n23286 34435\n32738 68857\n2444 31599\n3471 21196\n10733 46296\n56037 60663\n74864 77021\n417 32540\n65165 82673\n47134 71445\n84424 99686\n51458 81542\n32323 44617\n73620 93049\n2244 52424\n10407 63142\n2046 82625\n12427 97511\n67488 81073\n13306 88985\n30487 56319\n14617 77415\n9607 14434\n31498 32683\n69959 92573\n20091 40734\n5538 16410\n75552 79141\n6536 57109\n52436 81642\n15791 62819\n74779 92580\n74295 85338\n5744 81236\n2075 78604\n22772 38819\n67168 80294\n1575 35165\n30174 99026\n15186 37528\n73906 86151\n72413 87486\n26273 87953\n41785 62293\n19455 99448\n1896 18623\n4768 80484\n7284 18100\n29352 59306\n24469 42087\n59237 83466\n51116 95016\n24083 39371\n244 77962\n5879 32691\n27203 65444\n2401 76464\n61820 63439\n36021 41240\n8411 21622\n41379 42184\n37303 86146\n17453 25529\n43466 52096\n36360 56057\n25392 79209\n37372 93170\n29568 86640\n5930 74396\n23750 73457\n15651 32402\n19106 53198\n5821 62237\n42585 76476\n5149 51347\n23698 81960\n42213 52712\n14511 88330\n30275 56726\n6335 12282\n68580 89959\n32029 56301\n77994 92158\n68520 92134\n61598 83684\n27533 98923\n40113 64231\n43418 98014\n46196 97993\n13141 55177\n16656 85755\n69441 73525\n25234 31321\n30391 84325\n21745 97902\n18620 41200\n41329 52465\n3656 99392\n17168 82708\n10943 77124\n40777 97586\n55019 98744\n360 94984\n33876 79778\n84549 98895\n81608 91111\n9137 51337\n83693 98030\n3685 59367\n40051 99066\n10189 39059\n23971 70497\n1992 13588\n42837 68425\n28434 92048\n2251 44772\n50959 94475\n26688 72929\n6826 93442\n71151 97015\n24884 75246\n26555 46271\n24967 99095\n22140 29872\n32500 86737\n59100 66387\n14830 29105\n30405 76816\n84955 89966\n36909 55301\n20517 91277\n961 34359\n23147 92946\n55726 87857\n28403 29511\n71206 81546\n23897 41142\n35941 74502\n31493 88462\n50156 51693\n23458 27732\n22991 25946\n23410 88759\n44935 73884\n10222 37120\n55529 56378\n52383 56500\n48818 93341\n71724 71732\n37485 94184\n79722 85312\n28958 49512\n27433 84298\n3890 81625\n12856 29528\n63648 98358\n38246 94981\n13360 69123\n69639 98742\n10542 59574\n49699 58832\n26798 65303\n36185 49183\n87697 92398\n282 49825\n37697 67462\n33858 98989\n46456 96542\n7167 84534\n23929 73060\n21672 33917\n4022 60838\n27447 33626\n34820 80106\n98146 98257\n12904 70478\n35846 94974\n31212 98340\n21683 97488\n71192 80825\n31335 97657\n19665 70743\n49129 70394\n47215 53804\n90251 91846\n10702 47658\n73459 82249\n14713 65760\n38020 49440\n80857 85848\n18822 33911\n7217 49499\n6855 28515\n48972 89108\n26605 46226\n63027 69644\n27079 89822\n1259 1869\n21538 38776\n25345 86982\n76644 79729\n10297 41767\n16251 61324\n63945 85595\n90522 99048\n5940 21110\n60958 81727\n46841 63843\n45000 62068\n29510 97896\n97361 98940\n51991 88374\n1607 69588\n22503 41601\n41517 59229\n62864 98855\n48254 88835\n58811 72956\n30187 87644\n9638 74268\n42774 52367\n25702 43655\n81682 88899\n17024 89571\n24234 82947\n50068 59617\n50326 98719\n24328 96330\n82464 91214\n10659 87114\n45060 46760\n1513 96821\n10693 53060\n51892 82358\n51064 89886\n22245 99045\n47697 91356\n47608 92871\n70692 81022\n25023 60101\n15984 31824\n3520 37170\n35660 36089\n47506 98161\n26456 95541\n56546 81788\n3623 82326\n56376 61128\n27658 44912\n8798 68124\n35365 54676\n41483 55270\n32010 65832\n22168 23827\n52208 81973\n37381 78479\n46728 74440\n9149 25968\n6553 15115\n10227 53026\n18196 29247\n21544 49283\n13459 95986\n8297 34679\n34554 86859\n19054 98398\n24510 93493\n4553 82064\n25318 30450\n60773 69885\n69304 99974\n23473 62335\n46284 81431\n306 92637\n5317 8532\n76414 94673\n6629 19446\n19933 36858\n251 3993\n78470 98773\n16062 35718\n16983 92566\n42338 50390\n28895 97954\n6210 29034\n66918 81293\n13482 83492\n43234 70973\n15624 60130\n2667 22791\n23022 85967\n51811 80976\n41455 84314\n24150 84781\n70839 75838\n76293 92464\n65990 71891\n5430 54035\n51673 55712\n56895 69900\n859 6738\n41752 93823\n59452 90667\n10408 98899\n47413 96147\n65497 92774\n21135 42609\n34079 77322\n37963 61121\n26191 47803\n4455 89689\n4031 87398\n90608 94479\n43322 76022\n19130 30668\n11871 83290\n577 41419\n12159 43961\n18524 85488\n13257 71073\n24216 43265\n55028 95354\n52165 92327\n48504 90010\n32202 73638\n59656 69159\n14259 98403\n34317 90651\n54526 80185\n42725 78203\n15840 73745\n38094 77753\n47059 60066\n14668 64460\n25323 56641\n79887 95822\n29310 35763\n13993 76322\n52808 84656\n66410 98244\n14366 69875\n86361 95774\n20825 53762\n28416 70858\n26212 55671\n47146 62076\n29724 50763\n36786 85657\n39876 79081\n60968 92807\n26743 36324\n10676 58031\n21357 74131\n3976 95753\n40346 75354\n55359 88323\n23313 75765\n94431 95787\n30939 63599\n44956 63205\n64328 79438\n72407 81828\n21217 53363\n49007 86885\n34296 84823\n18880 40081\n79123 99288\n1583 6151\n56573 68224\n69012 70392\n11845 63031\n7553 87806\n30126 67990\n65966 95218\n39932 86402\n77909 98888\n25494 85365\n55982 80002\n48017 95724\n4702 25493\n30051 73747\n26485 83896\n26465 74109\n25576 73423\n16077 43478\n85778 99882\n24519 74455\n74135 77744\n22499 41239\n68296 89297\n64696 75970\n19985 53092\n30210 58442\n40826 78232\n23221 50072\n8572 16671\n81353 98243\n26860 50683\n25807 89187\n54168 70842\n48267 99204\n85856 97451\n25433 99434\n91070 91564\n90685 92359\n74526 95961\n59500 62623\n5521 29401\n22778 47518\n93105 97022\n29320 47085\n13040 80757\n27527 55039\n33760 69631\n47403 88193\n28391 50485\n13522 52124\n83726 97062\n58818 61848\n74327 83531\n38986 76730\n49956 59975\n13446 51079\n10385 83273\n44219 98183\n21675 92358\n37616 54568\n2238 27532\n26648 60241\n66430 73808\n29787 50412\n7281 74332\n37913 77560\n48059 71036\n15932 24251\n52376 54521\n32493 55348\n45553 76604\n1433 23250\n23738 43479\n28854 83414\n34651 69842\n42715 71781\n58759 59869\n503 73293\n30047 34709\n65299 88999\n11513 95266\n11020 26169\n13133 50400\n30274 68738\n29844 43119\n85855 98370\n24515 26644\n62001 67909\n87073 94772\n12042 21678\n5751 70564\n18432 79163\n10498 99009\n39936 58657\n53629 80870\n10040 45461\n40432 97779\n68167 71319\n4465 13184\n26913 68559\n60606 86906\n24016 94390\n35075 48081\n39036 64807\n42155 42607\n37716 48452\n23219 56856\n84124 94464\n15058 62651\n74881 92317\n21257 89208\n65858 73694\n38857 41742\n64246 89531\n16341 67354\n45291 68131\n24703 36028\n10673 95766\n70702 78742\n15211 67011\n42908 74907\n60694 77303\n3981 26909\n9710 87350\n13863 81541\n68127 87190\n9097 68417\n32834 47651\n39482 93171\n28138 86090\n32748 94575\n39542 80151\n22812 36321\n89430 92374\n67344 99895\n4561 81264\n29116 62324\n33752 37854\n24456 53319\n72456 77220\n14702 16292\n23008 30023\n36174 58174\n85957 92246\n36222 92188\n3976 13065\n38886 89201\n86061 98810\n69688 85113\n74074 79255\n45656 75261\n1112 6486\n54987 82105\n26322 78204\n40639 49593\n53116 82691\n45739 84649\n63388 97611\n33688 96676\n5326 52346\n43698 80214\n12198 86734\n49918 68199\n82064 95319\n86463 97489\n43169 92528\n12690 83587\n16029 60457\n56185 76122\n28358 35306\n3933 81549\n57515 76773\n23585 57436\n9287 45251\n57658 90851\n98763 98972\n15952 20832\n25155 86405\n4946 75801\n43911 99618\n52317 55958\n18940 86858\n9889 75835\n34881 68987\n62380 82592\n12716 22694\n36182 49584\n10679 22870\n5576 62603\n63553 75666\n1372 28429\n29598 40090\n26850 46945\n13906 71335\n66229 93135\n27968 64086\n92181 99280\n40347 47665\n67596 79180\n41785 81907\n51379 57379\n30541 37912\n42121 73831\n59114 79238\n4727 89958\n993 27534\n30547 60274\n30997 56892\n53283 81986\n7361 20076\n23476 76000\n16387 86501\n25386 33830\n9046 38016\n2654 17755\n11671 32100\n67154 92091\n78770 95004\n38408 77348\n10616 91758\n25720 56479\n70744 73449\n40858 72337\n73771 94419\n45248 72534\n14703 52060\n48939 77015\n78037 87884\n30211 44793\n47356 84181\n24683 94081\n49181 91630\n48659 55272\n53353 57749\n6415 48426\n30878 71125\n61417 87625\n56792 95314\n26718 39034\n26765 82860\n2106 87813\n31654 53330\n56607 78881\n2597 88885\n29510 78343\n62423 89963\n79545 92451\n64162 77401\n8841 65362\n17173 24097\n49296 61471\n60386 74445\n24971 42039\n45196 85830\n36361 66189\n57215 98355\n13005 47681\n10902 72735\n40007 53245\n6389 84191\n45606 61357\n49287 65555\n66901 82812\n19086 29615\n59238 86057\n5178 66579\n70029 90913\n46725 76909\n5807 91927\n24754 98521\n4933 53098\n15483 55754\n34547 95780\n53217 89264\n81895 83615\n38059 42107\n7424 95891\n23132 76542\n65002 95351\n6027 47784\n7017 71381\n66496 68009\n44492 73430\n27317 88554\n15159 28082\n8593 39027\n21567 29872\n31014 32303\n28769 45425\n33813 75811\n14478 72795\n3515 65948\n56 6960\n28235 30693\n26224 94135\n2301 29911\n69934 80752\n21652 70886\n10254 73822\n1170 80244\n9475 53559\n16449 72322\n1389 71609\n31149 93165\n45780 59082\n28348 91761\n22891 73957\n5090 31215\n27405 36234\n3219 45007\n27965 98627\n55550 79184\n72963 92809\n26788 84622\n132 10421\n74942 94475\n17488 23745\n11378 69662\n31736 59709\n12733 18705\n5534 22869\n13099 50843\n54032 84329\n43408 55489\n42005 84406\n39141 67885\n60276 74735\n47680 93786\n73078 98378\n38933 43701\n41104 91346\n22713 92437\n357 18946\n5255 7897\n1850 87446\n4850 67667\n2542 65538\n23187 80006\n6667 83113\n2232 93081\n10848 76425\n37629 54032\n33180 77969\n24671 95789\n15248 74341\n3051 62205\n18026 23648\n8711 26273\n15442 91671\n39583 99913\n49803 86402\n2474 95877\n37251 49646\n12644 32926\n24980 76880\n2719 51577\n48298 78221\n16999 95706\n9202 60646\n39141 76547\n67952 78002\n33038 69551\n20389 53981\n27221 56324\n59232 64212\n13591 94122\n44300 90332\n47520 61319\n74340 93252\n48741 68220\n54586 75557\n24843 55409\n25045 96463\n59311 89765\n18223 60199\n66708 81483\n5758 47561\n44047 52377\n16805 49010\n14658 92044\n51360 64530\n28480 50078\n31458 54337\n14227 56482\n68556 99873\n32841 39837\n53505 94435\n29072 31909\n66780 67366\n41670 95431\n88296 99182\n35971 85183\n21363 59257\n11039 40919\n10392 18829\n28867 38567\n30460 70684\n43825 68197\n52985 64927\n33561 79769\n15188 95129\n24920 26288\n16465 78424\n66630 83113\n9304 30623\n56666 98187\n22450 69509\n41326 55975\n62894 66025\n35477 70469\n33671 56989\n26497 35440\n38929 43332\n3802 67594\n55413 86982\n6594 51535\n45733 97429\n43622 68888\n25472 67281\n61665 96865\n54954 83332\n41823 42796\n52956 93391\n6890 29960\n9606 83949\n50770 76355\n78746 81076\n35752 88012\n88143 96276\n59649 70128\n44947 53287\n26692 79363\n54745 73875\n27244 43584\n17676 84005\n11664 53506\n691 61780\n27031 96704\n25839 36810\n61389 85840\n55862 58057\n11222 42659\n43064 95756\n10171 13999\n36552 42533\n5451 38231\n15269 70831\n66238 82801\n2063 58330\n22488 31162\n37184 85442\n47476 59137\n19662 73253\n8184 97006\n75384 77332\n12570 62093\n26121 96173\n39032 41988\n26638 27768\n29974 86721\n71618 74321\n25246 78281\n34393 39141\n8796 50326\n55248 81077\n16541 20538\n72039 93742\n11221 89901\n59469 99335\n53131 72055\n21525 25352\n52284 86148\n16767 92321\n47391 56953\n13485 18792\n38949 47809\n33053 50068\n68305 68760\n94 53963\n79416 97979\n23066 52311\n42436 98864\n5183 80280\n3502 6761\n44295 83909\n8774 75846\n32800 44475\n27171 48871\n27604 41245\n13116 14827\n83486 83662\n13869 77529\n16280 36278\n75598 78457\n23738 50628\n12797 48394\n47682 93701\n34574 63686\n2401 8313\n73755 90846\n7218 76153\n27239 48965\n8944 40931\n23417 24032\n13452 32416\n243 6421\n18224 90670\n23873 31428\n14647 25850\n22165 99927\n3286 56299\n24083 54001\n19619 49980\n26067 46221\n28546 40980\n62777 69757\n3913 90660\n20140 99426\n48663 60956\n49324 53954\n29466 76751\n51408 93905\n40336 59203\n3306 83570\n23625 69446\n49480 97123\n27917 30479\n6214 52857\n44912 67453\n3103 66762\n19359 25657\n24410 42939\n29482 52844\n4563 75281\n92747 96424\n33477 81387\n36712 41885\n45513 97338\n60610 84186\n13777 15441\n17887 45629\n14819 99374\n15724 93228\n8933 49917\n65486 95203\n59850 67220\n3725 21665\n59876 83377\n8992 61308\n54212 71042\n2878 70965\n15842 24351\n10856 67044\n75456 77151\n8897 32146\n68868 82946\n24712 47003\n47743 71491\n24412 84938\n52335 57381\n8563 83450\n1441 37260\n22640 79342\n18356 78247\n36754 63929\n49231 80661\n13256 13313\n27582 56682\n73734 85278\n19314 64603\n28236 62701\n17443 59060\n34051 64134\n6263 97639\n66020 97182\n33897 84653\n46934 99678\n45058 77647\n78817 97711\n15751 46715\n6115 9904\n51634 94578\n1827 98034\n56393 62631\n22524 36821\n29317 76956\n31618 56269\n56447 61348\n80066 85300\n75432 82798\n11184 90266\n54957 75368\n3710 52854\n1548 70455\n12012 12236\n36310 64742\n27288 40231\n23961 71799\n66699 92261\n64310 68337\n70309 91013\n85179 96016\n22148 84141\n28264 43074\n4329 60571\n37371 89442\n13992 65897\n66606 75050\n71950 73095\n21670 62565\n29559 72615\n57428 76254\n27987 43273\n30401 34215\n60358 78450\n47128 70208\n58335 86704\n8466 97936\n48557 53158\n11648 55810\n3299 25149\n14592 37110\n1731 82863\n38983 39001\n11625 69112\n13193 72148\n44188 86535\n64382 92940\n17128 68830\n28478 52259\n52849 58436\n17013 78635\n69149 72615\n1088 25055\n46102 57765\n31496 55329\n51524 53535\n14991 70537\n9187 82340\n3658 97880\n59408 89816\n14000 96803\n34183 44182\n4301 61006\n21859 43343\n29980 70963\n55313 88899\n41117 44586\n26300 79549\n63353 94299\n17617 45074\n22297 70017\n25591 75774\n6094 13741\n19020 86043\n6948 51821\n30920 76110\n53602 68387\n50616 81389\n3775 48024\n54249 82499\n79490 94084\n87929 98720\n13341 78564\n67910 72286\n1257 65416\n61660 65788\n28663 60276\n9961 42383\n4235 51319\n15968 99866\n61215 61725\n11785 49589\n33504 39560\n24865 75333\n59529 95306\n11061 87076\n34187 55391\n74183 81626\n54606 86773\n28140 67445\n27251 36262\n79261 99546\n13793 82064\n46351 73444\n63662 76907\n2079 63391\n49799 79104\n84608 99835\n31608 38727\n47805 48274\n55811 86361\n21447 44749\n8104 76630\n20905 45727\n54313 62102\n44952 49119\n63375 80258\n80484 87821\n8783 35482\n48996 97010\n50016 62213\n8757 90240\n5495 69907\n24417 83746\n4230 42864\n1877 82829\n73811 93137\n12127 43880\n6030 30223\n61015 80466\n79407 94450\n18477 28032\n27617 45705\n47271 86194\n16450 46307\n12264 68315\n90 88713\n10389 62690\n32012 32974\n18793 20885\n47771 57473\n18866 24032\n23396 97977\n75900 91665\n18303 73600\n27495 36070\n86607 88855\n46766 57914\n7839 10873\n66268 92938\n82947 84692\n84120 85731\n9392 99186\n92680 98418\n1837 67544\n37702 75531\n24822 46753\n2734 48344\n7481 28606\n35578 37154\n20792 59931\n66271 97070\n3183 7462\n62508 88610\n14599 89215\n60924 65908\n22367 35755\n8549 83594\n24441 68127\n52385 82494\n89517 90442\n15448 64371\n42425 67384\n82329 90913\n7737 49130\n30289 41044\n1074 90694\n30776 43323\n66029 67243\n37620 65366\n48133 65625\n14259 88906\n22957 71934\n27446 95388\n24138 35899\n13232 80924\n86798 96857\n28695 44497\n43475 51824\n85335 99537\n29832 30602\n14490 15664\n23567 23898\n59438 79714\n30515 31297\n4781 77942\n9595 19470\n29366 50807\n10258 30597\n19144 36681\n71889 80497\n22740 56291\n79721 89289\n30946 56316\n55855 97910\n37501 66392\n28364 51759\n8529 11560\n27517 93698\n27665 89459\n7775 51295\n72681 84101\n12947 65535\n18509 77041\n81821 93951\n13719 42998\n15734 74631\n22217 39979\n24521 24679\n5423 62683\n7 19213\n52935 68012\n59935 63503\n19207 80786\n93261 99788\n59301 67534\n5940 12678\n16382 60535\n13367 21467\n41252 72037\n53972 71416\n33186 34682\n59285 68610\n32401 38353\n41482 96421\n11242 37711\n76249 92328\n41709 48093\n18964 60453\n80086 92806\n10541 51920\n6527 47554\n41487 82281\n2800 26447\n65706 77520\n13118 83997\n41770 72897\n1025 1219\n11643 81998\n62286 78730\n75289 99036\n44022 76225\n8361 78238\n14244 50814\n7014 53677\n28711 95974\n46396 59958\n3198 4661\n39003 50262\n38913 44491\n2862 32581\n52460 88709\n19418 44436\n47057 82191\n4409 86856\n19 36999\n63316 70938\n2547 64089\n48716 97524\n21780 96916\n27743 58688\n86465 92554\n63926 86187\n53883 93448\n12822 13664\n27541 74408\n61799 79710\n14799 33095\n10764 84782\n61570 91147\n41337 70699\n1482 97099\n80015 97363\n38989 45697\n86345 87662\n2653 90186\n5642 72084\n2337 9186\n56738 89601\n73593 90061\n2558 17956\n65432 76805\n24347 65257\n842 12118\n15336 80103\n41596 75716\n2093 21628\n8781 73902\n46035 60993\n30784 94282\n72929 86673\n19618 30865\n42692 58198\n20568 78438\n13636 89120\n31619 52775\n539 81807\n43513 80987\n73567 82884\n7824 82971\n8009 48996\n29666 86898\n47166 61867\n49935 54024\n34231 96716\n31859 58666\n4084 95765\n23145 84258\n38772 50831\n2686 82286\n38967 86314\n87926 98142\n2482 34254\n15561 30088\n64704 74185\n43321 74066\n10677 92572\n2620 91623\n13842 52554\n48015 97779\n29577 97528\n20829 26677\n57501 73733\n41627 66843\n42421 59915\n7672 37416\n5506 68969\n35605 55363\n16545 20703\n66177 90733\n42574 56700\n59675 67969\n41517 86885\n40654 41527\n44580 94262\n24296 32377\n63349 86477\n39150 91692\n49266 64737\n71143 73239\n8131 68611\n41407 69436\n48042 52349\n1676 51238\n25544 47691\n31334 54165\n13985 14759\n45650 78209\n5501 79343\n11411 70429\n4518 13348\n34180 98591\n1806 31990\n32082 73840\n16280 46042\n53040 81778\n6804 25293\n24687 98965\n40009 41570\n55444 70985\n73628 98523\n63019 91416\n38103 57772\n97334 98879\n9018 73235\n53316 66433\n30148 57897\n16683 89723\n3751 64472\n26735 27372\n48054 60830\n38845 55852\n22277 65259\n3867 73484\n23254 69174\n67708 70545\n52141 66197\n41742 75811\n23890 45284\n72597 97532\n16679 54801\n29903 96846\n80850 85428\n51467 85453\n61821 78016\n80283 94798\n65708 85621\n46156 90005\n37702 78553\n7323 48731\n33192 73142\n70546 99497\n27927 93412\n8059 87877\n35747 66634\n44071 76931\n11786 72495\n38051 38075\n8461 50750\n15433 33110\n61818 76304\n14920 59080\n36071 77277\n55391 97020\n22328 29758\n33546 69651\n53951 99997\n3860 76471\n16060 17289\n5893 38917\n69547 99813\n81019 98053\n9683 86385\n4855 62736\n5810 78874\n7813 18898\n23610 94372\n45775 75603\n39375 77781\n26530 71158\n7810 85973\n3563 87147\n43611 72467\n32603 98789\n13425 90033\n14235 48919\n6276 81907\n40078 49319\n31701 37910\n10069 48614\n12353 75000\n74426 97804\n16506 61731\n340 4752\n15800 35249\n2898 5562\n9995 46553\n1202 17631\n9261 34426\n3057 11636\n57734 75215\n57622 60277\n3550 51607\n39862 85201\n11446 61258\n54424 92421\n23905 58213\n91864 94324\n648 23151\n7211 23432\n59750 89963\n58036 67491\n10289 59113\n36254 61876\n35783 60419\n5129 27688\n29316 61112\n8277 72764\n23673 99016\n20413 88749\n59364 88732\n40516 71669\n48821 76692\n32491 81428\n89687 91484\n59447 91212\n27791 61235\n31922 93955\n36858 98421\n31034 66981\n3697 9727\n36134 77158\n35795 71514\n95389 96086\n26477 96388\n33719 38190\n3491 76695\n73337 74459\n15961 44474\n71832 93507\n427 35762\n4570 15805\n37819 79896\n47810 65523\n54908 58697\n6643 52410\n54039 90763\n59798 96033\n23676 68772\n17735 53089\n82737 87735\n61602 98890\n73660 94439\n13178 35205\n15749 83340\n18323 58220\n87386 92014\n41310 71128\n4454 19694\n67747 74788\n19492 42624\n11297 25668\n18260 21182\n4408 45599\n4513 68580\n82965 91663\n55721 73507\n31044 53323\n11292 54961\n57672 60978\n23478 65429\n22621 66123\n56658 83036\n38105 54045\n44446 81494\n17486 31849\n63366 63460\n28233 33337\n64155 83720\n17112 34865\n12486 98245\n55676 57051\n27117 34089\n57701 66969\n64388 66980\n17900 93690\n23675 85823\n10855 90271\n11569 89730\n81355 83170\n19210 59185\n42655 47905\n23895 85060\n35982 66346\n56370 70697\n45006 90534\n44040 94874\n29158 30933\n32756 96770\n32929 83841\n31885 53500\n26038 45256\n33110 83818\n33033 97923\n43473 55777\n48496 97889\n25025 67397\n80791 91223\n41354 57369\n6350 66729\n20690 46902\n60020 83427\n6798 91748\n37995 85067\n53724 66081\n42379 58359\n21923 64367\n3984 4319\n16543 54370\n31437 91930\n74336 85650\n18730 94892\n71600 85364\n11676 31131\n46038 84337\n64688 80643\n42845 57122\n38246 69926\n15408 36435\n4329 87789\n45134 82840\n62723 69390\n18963 23273\n61343 96120\n60619 63452\n57919 96399\n46528 73187\n19880 56358\n53560 77856\n10514 27950\n1325 53943\n16861 18928\n56932 87910\n16612 32279\n68527 96032\n10893 81356\n885 34454\n46338 54863\n354 84069\n3676 90323\n17903 94428\n55380 74247\n57072 82746\n50218 64162\n55022 56608\n28461 37319\n29720 87276\n2180 47030\n21513 48184\n45882 60779\n30563 45219\n49710 98316\n46894 86365\n9437 11130\n27654 36509\n40550 69399\n953 8532\n4387 8446\n73659 88056\n28549 45440\n12274 63686\n28487 77208\n12346 50638\n6523 7600\n59080 90811\n15454 36915\n46212 55819\n4590 53213\n417 92391\n24512 59999\n71829 76317\n20007 70084\n70306 88456\n31989 89716\n15499 31507\n83047 87162\n4741 55509\n44647 86125\n64605 74639\n1165 46091\n4856 36592\n5735 22181\n18632 30956\n4953 82496\n76536 80442\n18377 68934\n17127 23378\n1784 67626\n43818 66106\n4787 61392\n64593 85917\n4548 27332\n49217 95075\n10046 83069\n61949 67008\n83386 98111\n81209 85751\n15422 99269\n48305 84820\n22392 66340\n28740 69595\n24243 83265\n28925 52487\n2464 25372\n50925 73484\n81041 87901\n87233 92681\n17149 57622\n68578 86017\n20545 81682\n20115 86799\n5516 77351\n24197 34633\n48415 90806\n53750 90364\n10715 82784\n1280 82124\n34308 62940\n10862 61947\n24665 79631\n37858 66719\n3936 71045\n1060 72022\n1598 82102\n52688 89552\n14854 70069\n35012 47872\n4745 43958\n36333 42604\n64376 91890\n18180 50638\n18067 67926\n48483 69911\n23333 66740\n4627 76857\n29853 98174\n14445 90978\n6027 93444\n35324 52973\n10687 32805\n29339 50440\n16224 60452\n9773 82155\n37 81751\n47201 61866\n4479 70116\n30961 86284\n12994 93763\n7293 26384\n34407 75697\n77662 84089\n11227 45713\n39696 63842\n37012 37989\n81010 87168\n44612 98038\n31665 74870\n15368 19369\n29179 45663\n43660 93956\n47560 95968\n31804 82367\n73172 87974\n22009 38273\n8219 71912\n72082 93035\n41380 63271\n4899 20949\n31502 83171\n3892 45018\n59688 64805\n11948 66665\n51879 52893\n1884 64983\n41346 86345\n47997 75447\n24201 76853\n56027 91022\n54567 58758\n9819 86374\n55774 57263\n7061 67362\n22030 28886\n8026 95862\n1655 94731\n53128 69570\n41454 71690\n66152 84406\n39526 64957\n5825 46204\n84426 95209\n24257 25740\n43431 52557\n3028 95159\n55749 65318\n11073 66041\n25848 95862\n2952 44358\n40900 82145\n42125 43063\n44925 81733\n24181 64795\n33613 81318\n34271 39610\n48427 71594\n21796 37214\n17914 32700\n4652 54453\n57776 75056\n1790 41393\n4527 6459\n46719 92458\n40247 81093\n82920 89664\n4688 82251\n62557 75663\n26612 60819\n69834 87929\n58308 90586\n23962 32756\n44773 69310\n30115 58913\n50158 95625\n15969 23991\n92726 93284\n944 83699\n38603 56977\n86186 99822\n46986 54671\n21553 35008\n53477 56509\n32871 36709\n29633 79579\n30893 97125\n28251 94928\n20421 67729\n41383 66880\n11901 93287\n13632 81917\n38882 58144\n47858 67527\n13769 38459\n28633 49550\n48402 87875\n11087 23776\n51421 75668\n4354 81293\n1750 90642\n10690 11303\n43272 50566\n24453 68290\n87963 99944\n61387 77054\n10896 54384\n35027 96071\n88156 93608\n29793 82526\n27853 34464\n76787 93500\n50840 99975\n4255 89499\n36215 61311\n7434 36957\n25804 82002\n22920 44603\n1317 93499\n63623 94313\n70445 93205\n88365 98320\n44243 94810\n15857 82585\n12356 43576\n45123 47005\n40062 82786\n60346 88948\n21910 82288\n1535 73974\n21588 46058\n22797 31331\n76257 90505\n11331 88214\n51098 74923\n23945 43690\n23383 55606\n41766 84421\n27433 58741\n28984 29702\n10897 96934\n47891 74997\n5855 79823\n655 42674\n1453 42727\n23314 86576\n20978 60529\n51298 79361\n17552 57762\n7457 93406\n5181 43303\n27960 50712\n16853 81927\n58676 84653\n44957 72493\n34479 72742\n11746 79447\n56843 72207\n27953 93414\n70198 89651\n52538 58373\n44127 82373\n4311 98421\n35514 56478\n39493 66619\n19681 68190\n35335 76183\n43061 50549\n856 54412\n10782 26968\n5108 22746\n52238 58993\n34934 86086\n30065 31396\n47218 88663\n47987 76085\n7555 72490\n18973 29380\n32195 75683\n83710 85860\n49314 97878\n23071 94925\n42885 84163\n52242 87452\n64294 89104\n83801 89680\n3889 11499\n28042 56169\n57056 95927\n70251 79971\n7397 46132\n41175 76957\n34951 35330\n73112 77843\n2260 72348\n5261 62380\n88527 96064\n5607 31991\n12427 59146\n2212 46541\n75241 80536\n68695 70824\n17494 79510\n4315 68502\n32245 38698\n79328 79730\n35754 61380\n15382 84403\n44001 46121\n10444 23346\n68469 72455\n34068 47218\n28575 90106\n8048 13736\n31297 96793\n70029 88350\n21212 34893\n65410 70771\n26397 87012\n2656 45780\n37926 61743\n39737 69445\n42262 65848\n40704 99795\n38789 54561\n87456 93773\n74420 96154\n51360 54984\n21038 29951\n74993 94792\n60116 70634\n12102 25535\n32329 72567\n23190 65800\n38998 55823\n33882 68285\n22266 33285\n19738 61239\n13722 80799\n3531 38411\n46434 65470\n773 31942\n26376 75912\n34876 81818\n49087 80735\n33524 95128\n29308 48733\n42271 42373\n3221 92080\n25687 42454\n11242 80997\n10206 38832\n45327 57868\n73933 89005\n36813 65674\n23302 24509\n32842 60175\n46098 54076\n79655 98519\n91797 97463\n6367 81758\n11537 63594\n4272 77149\n19780 94923\n34600 52333\n55984 85073\n18938 84499\n23583 98331\n75666 81306\n21834 41551\n51101 77967\n4290 46960\n30329 86491\n52433 87637\n52870 64380\n1117 96418\n88244 97439\n70779 73326\n32941 34706\n29258 44696\n8211 54386\n9922 40964\n18465 97768\n65165 68138\n41374 86706\n47243 98720\n8947 82691\n70400 95419\n1500 31246\n29000 29676\n52213 92688\n91948 96691\n24522 69256\n11667 51983\n46587 54608\n32395 68595\n8149 92981\n31961 68295\n7986 77143\n71978 96292\n32496 76947\n70756 97949\n57381 63647\n25979 97979\n15599 86317\n48856 62381\n61923 70229\n41461 66758\n47700 89639\n38098 53948\n48074 72523\n481 81026\n45755 94691\n52480 72739\n28610 84675\n1010 31121\n60970 92063\n2663 36483\n18527 65060\n48387 49399\n31008 66559\n40827 78821\n26242 68494\n409 31176\n10555 86315\n63555 91972\n4668 92812\n65013 86080\n7324 27630\n19142 58207\n14352 33624\n28765 83924\n11953 42609\n15394 40223\n15382 92651\n13110 59218\n25013 25486\n10838 41231\n3273 93541\n60646 70001\n41859 73185\n38092 83250\n14522 47753\n12824 84013\n96358 96713\n52339 55055\n54670 99344\n8319 69699\n20826 33099\n47930 92568\n34276 73744\n58417 69123\n22004 48144\n29311 47907\n41112 51255\n45149 54659\n36216 42835\n27894 67438\n31394 51631\n21451 50588\n22098 48973\n29920 31972\n70432 98713\n24799 63575\n42513 50540\n13086 52831\n53482 79624\n38972 54613\n57207 58619\n14559 99865\n48019 87811\n42943 68828\n63650 83801\n35946 48516\n36677 55406\n40646 85706\n25132 68185\n45083 83632\n3724 89993\n27197 96813\n7623 22708\n10665 49754\n60550 64831\n12918 97611\n44568 82994\n54350 99369\n26977 76380\n30203 74803\n36469 96292\n48772 99151\n1925 35031\n55861 76491\n2125 45417\n32559 52139\n35004 39153\n20553 29282\n20200 78014\n8711 17996\n18531 88576\n22780 86883\n66168 79229\n28524 65265\n39936 45383\n14540 90102\n51265 88690\n25461 44958\n3059 80339\n9742 48614\n69212 83510\n15775 46583\n46320 90707\n8802 79673\n38108 97059\n71023 91420\n62440 90958\n37756 88412\n15237 59868\n64406 64890\n33760 68484\n3924 8223\n56838 78407\n9896 41861\n32111 48126\n11231 79880\n41579 70266\n50038 73852\n37410 60397\n60489 65915\n12417 82490\n67810 98071\n23611 65502\n10108 45139\n6892 29131\n6506 99100\n14225 45877\n49602 87377\n78806 92292\n15334 44007\n7475 28325\n47796 60413\n76431 80841\n84037 93421\n13683 99645\n40099 89106\n8420 99330\n92360 99882\n62064 71997\n37997 65322\n14776 19873\n26349 26975\n36778 71069\n11084 41745\n19906 23646\n55030 74544\n4952 96923\n47413 48708\n14613 81507\n32976 68069\n31660 62635\n8150 73729\n4464 38647\n11870 14557\n79668 98632\n34223 77907\n7158 89234\n5926 63136\n61127 91809\n8903 73682\n69784 94929\n21157 24888\n17419 88381\n47720 90110\n1398 23301\n4821 11283\n64306 89152\n26165 65216\n4580 8881\n45757 99204\n43993 52333\n18632 74381\n6471 53540\n76986 78885\n19438 96026\n6764 68447\n77300 83207\n9101 46106\n7387 44479\n48938 76045\n21442 24306\n33847 42188\n12831 90105\n78743 92882\n4242 61601\n58711 84044\n10656 69422\n61578 98871\n29792 77927\n67142 87643\n2733 95743\n21114 44213\n1283 22848\n28547 71645\n9898 80964\n36789 77488\n56415 93205\n27385 82682\n15699 90269\n32259 75096\n33082 68637\n88322 97604\n64606 93402\n34773 58305\n90463 94439\n43107 57507\n9234 84721\n75126 96383\n46522 66579\n17050 65057\n1403 53454\n44885 96593\n4420 90388\n52289 83868\n10772 48430\n59897 64565\n4680 11496\n51270 85606\n27241 99981\n1836 91029\n25707 85799\n17513 92971\n57870 83300\n58934 96663\n9764 17174\n14244 15321\n1689 55489\n35021 91741\n66335 83056\n10231 41046\n1772 9413\n33581 94831\n59058 59993\n22673 30744\n235 37895\n29718 82872\n24451 74884\n31531 83513\n11476 25979\n84961 91350\n43887 89280\n14716 56913\n87880 89497\n3265 80139\n16070 27099\n69237 90629\n63140 78418\n58021 65846\n51512 83237\n41349 84218\n1575 19760\n2438 52221\n18605 70317\n49180 75024\n40227 93865\n25341 47051\n17768 23778\n26809 57445\n15473 83462\n4200 68143\n14986 56799\n22557 44361\n24009 75779\n26400 29923\n451 32450\n44722 92110\n66583 95211\n21032 81883\n830 22452\n3681 52555\n10031 31665\n17508 89373\n24072 96800\n8008 81346\n16092 18643\n45202 93857\n43202 56326\n27552 83247\n3168 28835\n20493 75670\n62120 92672\n50292 66175\n17718 66076\n15407 18263\n77821 93484\n70400 94094\n72167 96522\n23178 32059\n13215 82982\n3265 33238\n26622 83073\n29344 83999\n8678 48950\n12856 61273\n40402 55394\n14774 19321\n2658 69361\n63774 90958\n77554 95848\n45571 83440\n43600 64487\n10583 98550\n50718 80189\n69889 85033\n9892 65533\n16053 96081\n3045 80079\n31840 37453\n6469 77823\n8161 89793\n27355 45456\n1681 87744\n55021 65189\n38569 88678\n27328 59319\n20681 48048\n83059 90303\n46307 76306\n62543 69278\n30324 95787\n40997 84585\n10218 96295\n48786 69166\n48542 86784\n875 97537\n64397 79961\n3887 83074\n4510 91876\n65159 66163\n1943 44248\n34144 52738\n69685 86843\n22105 49900\n10843 92029\n44266 76435\n7347 16654\n2654 26151\n51275 82078\n87990 91254\n47252 76421\n27674 52185\n25784 45437\n8390 70527\n75827 84626\n13030 45079\n2424 16484\n30167 52476\n74666 81543\n17171 95821\n19305 22185\n1525 53302\n12070 32149\n49487 78092\n21638 85726\n2253 21363\n14499 95789\n67127 96836\n21055 51820\n3842 44123\n38831 43631\n8739 51024\n24307 39918\n11122 81091\n13846 62185\n42411 96422\n56248 66979\n44478 45727\n40836 61070\n30591 58774\n56321 99258\n34419 97420\n21807 34242\n30209 75767\n16042 68075\n5406 89263\n36435 89214\n44426 84567\n56722 97696\n10179 80750\n73857 89356\n24474 88029\n27574 69305\n32106 46628\n10902 41651\n32293 89718\n3427 91773\n27731 98780\n20288 57345\n28103 77883\n62820 69004\n68491 80050\n12058 68072\n88275 97599\n57086 75888\n48852 65059\n67828 80905\n27637 66946\n9611 50831\n26707 69483\n3884 86405\n20647 23688\n59121 82518\n28670 47053\n12055 13642\n16074 87423\n20210 84885\n26939 86827\n68100 71729\n35623 86019\n10903 99499\n39642 60303\n38053 40787\n7436 75474\n27075 72139\n24288 91582\n29266 91942\n27985 84650\n34742 80083\n27702 45213\n16035 55479\n17990 57454\n46960 59197\n21151 55861\n42538 97580\n42766 89342\n62529 81062\n14601 24204\n56783 98918\n18363 68495\n41713 89571\n37473 79106\n19889 38926\n55753 87755\n39901 42133\n36673 90876\n35195 94925\n6022 60824\n30815 59880\n63594 87925\n33876 40813\n16511 49602\n9601 25080\n26869 78969\n69501 83416\n4308 91108\n10319 31868\n23402 97053\n38000 64204\n67803 95816\n57577 86473\n2137 44682\n37594 69097\n59059 86302\n28836 38683\n2521 10699\n16710 33029\n51496 81875\n81371 99053\n28930 84693\n60922 88376\n21692 91440\n40380 82824\n7621 94064\n17859 58092\n50481 96625\n65787 81109\n2707 64353\n61759 99700\n11020 66875\n65613 76813\n10662 98512\n8581 99389\n58761 91600\n5985 99119\n60141 75049\n30920 46317\n45965 73631\n782 72116\n61268 86515\n2079 71125\n56889 63829\n60125 70667\n30818 84148\n8800 45485\n62290 84425\n15557 74463\n76208 80987\n6040 31386\n12752 39604\n4011 15935\n40657 62228\n21508 36038\n1548 15290\n29161 75302\n2054 48713\n63928 84168\n7988 41222\n14106 39413\n25471 52547\n20566 49460\n66010 93951\n45917 94399\n12355 72828\n56005 82012\n22821 50401\n50814 76371\n30131 76965\n7229 92214\n57004 84500\n3865 46110\n33312 83064\n8352 89950\n15144 48880\n14501 29437\n53661 65912\n12253 65871\n23932 38537\n31159 59072\n2721 49120\n36384 55066\n14117 28283\n40202 40607\n37057 89601\n12422 65449\n25844 36702\n55179 84789\n55449 96094\n30211 62717\n21366 54880\n51496 88291\n63853 89846\n64920 88114\n7529 25222\n5983 78415\n87074 90898\n41576 55005\n15812 37837\n35050 64007\n2688 57875\n8009 38471\n13622 18195\n42576 79853\n64278 86706\n46653 95496\n19283 93094\n7612 38700\n7710 63063\n12211 65679\n1871 75772\n17720 84106\n25500 65161\n2269 55580\n3296 70951\n11140 94819\n35384 91150\n77634 85057\n63360 89059\n16791 37327\n17055 95269\n54511 80900\n51303 74627\n64314 84927\n55371 56564\n25337 99080\n25715 64772\n76477 98885\n62245 77361\n38074 40058\n67333 88865\n12738 12862\n13421 20540\n79780 93350\n9515 80225\n35647 43842\n18970 76348\n16954 83497\n67391 84327\n18702 71853\n85432 91090\n70343 76266\n65713 92054\n7468 76691\n30466 67563\n37203 48649\n1420 51801\n26471 47723\n5108 66219\n17673 55659\n75721 82294\n10520 60869\n24789 68531\n65552 89081\n64742 94507\n68748 91459\n20047 27026\n32619 79685\n1883 2260\n34891 63466\n26645 71874\n65514 95850\n43563 65589\n6120 53826\n8969 25735\n7137 86680\n32923 71152\n77018 82161\n10543 68938\n45674 99214\n17018 53778\n55211 60806\n42259 43340\n86095 88810\n34448 39373\n15997 98624\n21089 87689\n10821 14738\n94492 97831\n41056 51718\n28205 47873\n34408 59717\n14528 66973\n7503 63093\n42605 61271\n28925 79568\n31980 96855\n18335 23538\n17701 91535\n79010 96957\n9105 90828\n19192 95350\n59740 71979\n26185 92375\n28007 31960\n12917 13145\n79055 79633\n65385 89640\n20906 52692\n11896 13874\n24154 43062\n5031 17523\n8286 29680\n15096 27561\n24456 87572\n67554 92157\n1465 83033\n25886 40865\n5432 37552\n44770 60522\n13240 27943\n37194 68258\n4725 87628\n32254 49743\n65308 73130\n4338 67223\n9154 32177\n25733 52716\n44567 49148\n40642 41591\n58693 80640\n18861 32653\n17768 62404\n17036 21158\n22166 98864\n62057 75672\n65273 98675\n13921 22553\n8982 62576\n5782 31526\n25674 64172\n62774 64695\n37187 46305\n25791 38413\n34246 50302\n18331 76202\n20473 44032\n7743 85014\n62522 99589\n26563 42647\n75055 81126\n21999 54558\n4626 26880\n24241 78358\n46041 82727\n4055 68747\n1134 14148\n3146 81102\n78291 80599\n63810 71759\n28546 84774\n62089 96998\n51513 72072\n21360 85555\n661 15405\n15325 60811\n24439 71922\n55181 71559\n29364 43563\n47767 81346\n7823 25094\n15742 88204\n20748 37049\n29607 81024\n95891 96572\n8513 24376\n44699 60491\n719 88786\n51116 65285\n14011 18339\n61102 99237\n9147 51821\n72310 76133\n37453 92531\n29014 34994\n68937 82087\n13485 56797\n15767 79259\n28187 99905\n51208 59432\n30956 53608\n10064 53628\n14231 78980\n4150 35381\n22734 59431\n29451 29928\n3089 67697\n84961 97507\n31153 77198\n1683 83034\n35760 70199\n75233 98781\n1386 94055\n23459 64561\n49481 76638\n48045 60154\n87432 90210\n59995 61030\n50143 94047\n57092 89121\n90690 97898\n26152 54549\n49574 90358\n13630 25260\n8823 18018\n901 85739\n49963 99178\n5600 75217\n5274 10688\n13290 44585\n28057 92850\n36609 83307\n69168 83342\n9636 98830\n48452 65086\n36534 71781\n30905 93829\n10415 86302\n68991 80307\n43489 58105\n38091 67752\n19620 80856\n73212 95512\n12613 72317\n7392 48692\n28282 47987\n9576 63659\n9167 96786\n9442 33427\n2792 23524\n37672 75882\n28053 55014\n23072 89879\n89216 90067\n56395 99466\n14076 27542\n11298 16895\n39931 96567\n37360 57738\n63336 94051\n33787 40739\n2532 81942\n6320 71264\n35001 42595\n39231 89749\n5279 38301\n37963 52695\n5627 70232\n11611 63934\n61122 82089\n42613 54764\n44900 78400\n38227 53516\n57862 68787\n17673 32947\n37715 66435\n82564 90357\n21125 74094\n45859 66873\n721 23782\n32486 58737\n391 26839\n83543 95291\n52937 92735\n7817 67951\n66223 83247\n92807 99313\n8857 47014\n4526 25808\n2102 78327\n49577 88978\n62611 91811\n41818 97501\n5641 23840\n8003 21092\n29743 53617\n33425 35531\n9028 29817\n31545 70021\n8321 20483\n23064 57817\n53297 89463\n16715 89590\n9664 77436\n4656 5746\n48891 94921\n78783 81591\n51132 82758\n18677 67251\n33997 40942\n50551 73827\n17712 30961\n80601 85752\n18728 96709\n64683 77028\n20811 24755\n32593 58424\n85220 87313\n13993 52606\n75063 86061\n63495 77401\n361 9041\n50458 61195\n32248 99499\n19538 37339\n59013 70433\n13581 27149\n61545 94871\n13151 33892\n6831 80452\n76203 82233\n43121 96272\n3286 72119\n5549 53872\n16944 80035\n22273 45992\n2520 34138\n73126 74884\n35255 93277\n72659 77421\n51117 63368\n473 89584\n1016 57036\n36521 64240\n42947 86746\n35228 77533\n4392 87596\n22108 76458\n34014 36409\n4539 80786\n3858 41124\n26290 67789\n68489 83158\n45256 86170\n4401 28337\n13032 52733\n30923 40717\n43586 85276\n10846 99668\n59134 97233\n513 95200\n26620 95389\n25558 38463\n55982 64773\n31469 80903\n29719 75606\n49769 92007\n14283 62489\n44249 87821\n3222 91466\n35001 68645\n33738 93062\n15847 49922\n22267 76504\n12458 57722\n19618 95455\n68345 73048\n8951 74396\n134 23119\n38421 38520\n29209 75763\n86943 87249\n33586 61977\n10339 56820\n30834 43027\n32533 35377\n5282 16234\n8101 44339\n36587 54990\n41353 66684\n19495 45914\n84836 90900\n36436 57346\n46314 84292\n17954 20973\n37199 42170\n57516 76155\n27213 51719\n32616 35867\n14641 18318\n41149 52672\n10985 44524\n13235 37348\n53692 83851\n20195 81980\n2608 5796\n25961 39788\n42990 93949\n10262 46890\n97171 98897\n2810 13617\n29943 96988\n58698 94013\n2089 43131\n53859 59363\n8773 23510\n7765 53457\n45295 67919\n12837 47681\n42297 73299\n21747 26109\n42679 70100\n35 1073\n40713 91138\n59356 69341\n28620 96077\n36400 53452\n26271 33586\n23262 86407\n4543 79292\n11024 27898\n33952 75425\n30872 90006\n11420 32774\n981 48903\n52907 91894\n36557 76080\n23765 61340\n6875 71265\n4065 14092\n29924 30346\n23202 97575\n44310 57794\n1409 22878\n18373 34376\n11538 35234\n63762 75555\n63918 95756\n66447 74655\n52030 81454\n13940 49181\n47903 89962\n35222 55487\n53104 65067\n61995 89102\n56022 60684\n9904 91005\n12637 34179\n41036 70302\n4742 7390\n34492 60439\n22779 54118\n12863 82712\n11631 26418\n15744 65491\n20899 96609\n38613 44044\n63583 94415\n12464 19254\n25790 85628\n23947 52548\n16578 35086\n11050 98018\n10095 36941\n92315 99138\n7913 22376\n18720 81849\n13585 75691\n45000 95184\n68214 88058\n29732 37120\n10011 53490\n1527 58200\n42122 62190\n39574 54554\n13979 31534\n3859 20706\n18792 55907\n15356 56111\n10288 31142\n19023 92285\n45495 99455\n3615 37346\n2933 64010\n43703 75990\n50492 85723\n53730 56027\n23688 40798\n4397 20706\n50093 66400\n6898 24188\n12215 93653\n64456 98385\n5556 56204\n35373 99192\n36126 79853\n27003 84787\n15304 92337\n19868 72362\n72283 90822\n5050 41199\n39110 53674\n62724 70373\n95863 99024\n30228 59966\n74962 78522\n84255 85276\n8888 41404\n24550 94577\n16456 96538\n34481 69807\n11924 46045\n50760 91913\n23033 41507\n74178 93889\n1737 99875\n19711 33157\n6190 33261\n23243 48084\n14325 24143\n12577 92525\n12074 19205\n25208 83494\n3748 25398\n25288 30863\n12593 14170\n47276 77632\n87696 95602\n46551 47034\n81844 90934\n10372 54099\n37400 69464\n4547 91866\n14773 71578\n72291 98642\n811 18911\n72236 75128\n28178 36135\n77589 84685\n32693 52278\n53326 92363\n40108 75151\n10669 40937\n42700 67782\n7594 63080\n21613 57480\n7632 16490\n77930 99665\n44691 96339\n31735 95200\n10564 24167\n5448 6439\n43404 98209\n74755 96251\n54147 95589\n8235 50310\n32780 58951\n47396 73491\n89 3821\n32548 61182\n5223 48170\n62792 68514\n61615 81783\n46718 98554\n74887 85784\n33841 53499\n43668 54079\n9492 66078\n34473 92046\n5886 72223\n70186 74111\n23622 39039\n7142 67372\n11645 36522\n5318 26721\n39402 59635\n17443 27274\n942 44702\n16931 89666\n10092 34510\n76548 88933\n58102 61043\n47101 79251\n14861 56485\n17946 74269\n13222 28810\n49325 66875\n27472 50627\n7285 25748\n68432 92509\n43371 48894\n7826 51989\n9680 12022\n6384 20356\n41424 78434\n14399 56898\n61030 63719\n30453 44262\n45134 84718\n16494 47193\n47711 57511\n9459 96237\n15805 70609\n1966 26096\n3227 78751\n14245 26165\n73857 88835\n59942 75145\n8845 73368\n77145 85521\n34311 59104\n29344 31515\n88360 91882\n17538 76039\n9849 24100\n18484 67927\n5522 23827\n32587 55280\n64329 97818\n25314 71589\n46447 77281\n54554 65890\n25177 27921\n7748 30515\n693 6548\n18426 18518\n58882 95093\n66687 92044\n48397 99140\n37696 94654\n20725 97786\n46569 61868\n90895 99012\n8009 15273\n65614 73293\n4208 93090\n11113 76470\n10206 46625\n27196 95257\n17669 35861\n47272 53867\n31746 99587\n38968 88350\n64688 76530\n36972 63557\n73400 98397\n1763 94105\n49475 81242\n27715 63817\n7494 91748\n77924 86547\n9747 15035\n10458 16383\n84102 97396\n28010 94839\n65586 84794\n20245 56077\n22294 88828\n1830 39503\n33410 73994\n20046 62280\n72196 81177\n16233 26969\n6228 68376\n15412 37950\n79183 98977\n80270 96299\n27814 50287\n9984 21501\n3862 84805\n35511 46974\n34713 70123\n139 85703\n47798 58321\n67872 68363\n45606 73461\n27908 98134\n67404 73458\n46153 83405\n45483 59674\n44652 51477\n8070 50806\n2919 44612\n18347 43303\n25889 59898\n20317 35230\n60606 88903\n42398 97922\n53484 92134\n22560 74604\n3345 21352\n21393 59685\n38067 52491\n20330 22570\n45357 56410\n41533 82087\n70115 95475\n46005 63867\n19527 66207\n48292 63993\n288 13625\n12371 33227\n668 90620\n22948 31127\n23459 40484\n20699 71058\n8456 97529\n42232 73426\n19624 70086\n46708 90424\n79117 83794\n25334 96637\n87418 94534\n20660 66473\n3764 34996\n30323 99180\n71433 84217\n30123 92663\n53554 94609\n45514 90085\n16101 84250\n6624 26246\n57727 66723\n4764 46685\n32848 77341\n36400 96762\n48208 84899\n7118 81195\n9480 95114\n3038 25034\n24343 60472\n36371 45391\n3814 71418\n12899 20822\n59689 88747\n37979 71737\n43738 45841\n20128 56210\n57042 86413\n13680 37925\n72978 95509\n51060 76980\n49228 56700\n34986 37018\n6715 20264\n28500 91939\n8459 84711\n10839 63434\n27529 91692\n27972 49368\n31836 68336\n15790 87582\n39685 89859\n36856 92607\n29410 83974\n75767 84069\n13936 32535\n54023 72974\n6105 72880\n34628 72534\n41169 78378\n9289 97435\n10870 21851\n42504 82838\n18378 30445\n8523 27917\n80109 90046\n82836 95852\n48842 92087\n54238 86528\n87845 99737\n14090 38410\n12408 26409\n37255 63969\n4197 32187\n9460 67933\n18306 19153\n40708 76067\n56758 82940\n25578 59198\n57365 72924\n39601 40736\n26693 92111\n8399 14834\n13500 64010\n35350 39663\n71740 93475\n31340 79960\n33547 55692\n42840 79073\n22010 26863\n447 63004\n2234 66039\n27015 84145\n3 60304\n50225 91999\n4727 18878\n20617 92768\n87254 99856\n62001 83875\n2460 54987\n51794 85793\n39190 62950\n34227 41966\n81500 99736\n13384 36587\n54132 70686\n29443 91717\n71500 73601\n42421 96608\n44594 63553\n62377 87584\n25874 41756\n9255 79833\n12063 26176\n49325 58481\n95515 98751\n3057 4802\n16969 94941\n57861 80867\n27122 37394\n88203 94152\n747 30735\n65569 68427\n16355 86446\n63378 74399\n1110 35093\n3311 80311\n12236 97057\n70158 94055\n17967 80963\n27171 58781\n12958 65440\n9485 80242\n12576 29486\n26338 52198\n25783 50271\n26771 91588\n15789 69126\n8884 40005\n51105 60941\n7089 71891\n58402 72183\n25337 36599\n25133 75019\n39539 51940\n37542 81265\n14466 87236\n9513 52096\n65346 73102\n48695 62737\n6720 97893\n33909 37779\n26567 61645\n83538 91236\n56469 72062\n76017 91951\n62240 82329\n2098 66587\n6759 38387\n17187 33771\n5888 61632\n8745 91215\n54628 79094\n7866 56842\n31263 94973\n26876 43683\n1445 24720\n29922 82942\n39487 40045\n14051 18337\n16021 41774\n78149 80419\n22480 46191\n13656 17270\n802 79920\n6001 72339\n37580 98034\n19287 75958\n12479 25376\n61640 94269\n50074 98976\n46490 74908\n65225 78081\n22508 62958\n32953 96816\n25588 40344\n32235 91507\n51107 64727\n85563 96343\n64101 82178\n13250 45342\n57039 90977\n21941 69250\n34518 92843\n31823 75672\n73219 84657\n3707 17534\n42875 89811\n30970 63803\n51872 82170\n41136 92227\n23067 62122\n63416 79634\n54368 60568\n16292 77579\n23934 97672\n3535 16577\n34936 57252\n20492 68823\n17237 64297\n63519 85879\n65403 84495\n18036 92476\n9730 93541\n62256 69721\n39300 84975\n399 35500\n7222 54258\n56519 80563\n10945 86996\n65751 83361\n63892 65212\n24684 61277\n28892 72641\n494 9645\n67229 98732\n45544 64460\n39038 77972\n67311 91541\n17481 24646\n65257 71490\n59593 99884\n19745 28913\n24414 74505\n57333 64442\n6118 56042\n53237 55447\n4343 63863\n14769 98211\n58870 82702\n50124 58698\n30438 59480\n25600 61025\n23104 81591\n34128 45313\n9480 69399\n71647 96111\n24977 63471\n37882 37990\n10093 89567\n31822 92817\n35354 68786\n73064 87641\n86524 91677\n10987 45556\n59327 89613\n13918 41221\n16917 70750\n6319 73304\n38068 79346\n47395 84420\n20514 27209\n5196 78238\n13525 36948\n53072 90813\n50115 91916\n48788 90831\n197 90267\n25461 37816\n37242 93495\n49736 59322\n12653 65062\n29562 41979\n52145 99609\n9521 91163\n12805 45105\n7994 44122\n9353 70741\n62773 78589\n38911 60389\n45328 53233\n18775 76064\n56869 83189\n10131 67817\n6861 14231\n81807 97203\n44079 66729\n60278 93790\n17164 31105\n41759 98877\n28643 41369\n30451 77125\n66323 68300\n42448 72643\n8872 74514\n28430 48752\n75326 83950\n51642 84731\n18149 97057\n77311 82111\n52320 93116\n1195 35834\n6492 97963\n7351 52873\n55096 67526\n18100 42100\n84020 96485\n81731 89680\n1382 51233\n38685 81572\n3519 85024\n17233 49408\n16071 93672\n30223 97168\n65023 91493\n15224 67248\n22980 95108\n36256 87484\n61023 73965\n20290 73046\n35947 98177\n22733 25759\n9905 32004\n51048 78997\n69417 96436\n17713 84158\n18124 62769\n16757 55582\n23851 43853\n43581 86460\n30997 80804\n55883 82209\n27199 27453\n42638 60207\n11188 75435\n4220 52063\n15433 49351\n78398 87432\n25034 27093\n33638 71568\n19562 29864\n28761 36163\n41101 63734\n73193 89092\n45174 48996\n5276 29209\n3967 59999\n75604 77579\n15503 55066\n36575 88804\n13682 25213\n18972 49708\n10499 47054\n7231 85364\n49614 52435\n60788 87725\n18960 41691\n738 33400\n41719 59960\n8070 39090\n5332 82838\n10812 60089\n50158 94100\n2308 11574\n2419 14533\n7599 26521\n27495 78876\n86173 95551\n77896 85116\n50750 93391\n5212 26497\n63480 98968\n37000 71620\n34433 40431\n19811 23577\n9461 70288\n16415 84634\n41488 80876\n3528 95188\n5835 82354\n67142 82350\n3336 4730\n18943 68426\n12642 62477\n12165 46060\n34413 99958\n23804 65138\n50894 71530\n8375 26836\n90312 91196\n67621 96174\n33329 67138\n60461 61150\n30916 52340\n9808 37599\n2398 22706\n5017 45198\n17566 40300\n21819 23927\n34303 72910\n66020 96823\n71757 85642\n68806 74643\n47131 92724\n11976 20746\n33230 95112\n12663 15892\n24569 48175\n33385 81598\n22174 44908\n56723 80685\n1691 90608\n681 27007\n41933 45647\n14061 46955\n43938 82979\n85753 99223\n6417 8373\n14512 22973\n36580 78860\n46633 74555\n70199 83866\n33627 99543\n6307 26498\n36334 52855\n31358 79839\n54096 71531\n58032 75815\n57404 81537\n18913 19012\n75607 82946\n70 61749\n61517 80596\n15027 45472\n10673 18365\n14490 27577\n47717 71013\n69759 87162\n34475 54508\n25445 91269\n4967 31934\n12982 52885\n41681 98198\n58257 68785\n28336 29928\n14230 65329\n22317 59490\n20972 29643\n31956 51310\n68408 93285\n42070 98068\n23149 80051\n9182 79828\n71918 90100\n14499 88305\n25764 37821\n29818 36107\n44981 90776\n49099 60969\n23876 97645\n31356 34084\n58552 65674\n60610 79519\n2680 66765\n68133 81146\n47209 92013\n39303 86196\n55850 79264\n63384 64828\n49034 53225\n62465 88505\n54840 64218\n26587 81559\n25925 35581\n70070 89782\n63751 95288\n31710 74206\n50075 99127\n36451 57787\n73818 96901\n22482 82042\n18142 86447\n43907 68828\n6614 97377\n3490 67155\n26457 44088\n43353 43355\n71619 82585\n11651 47768\n61840 97432\n66176 87654\n15738 70909\n6495 89986\n5253 42146\n20080 97170\n17797 92149\n12938 21406\n23646 87729\n70687 75431\n20698 72390\n38820 96606\n27744 56681\n54817 63090\n215 82778\n7727 49025\n32887 91336\n3629 59285\n65464 66816\n184 55594\n55454 73201\n77251 81238\n42738 77893\n81466 85735\n21562 99883\n75213 86724\n7975 61300\n7985 11744\n22034 78034\n50192 80396\n35471 66690\n36751 44806\n91838 91962\n5702 99503\n27663 83473\n20983 65514\n27009 90357\n23668 28291\n11233 29848\n48628 72673\n72671 96468\n6889 94148\n3503 57900\n31939 54336\n82705 97861\n22070 41479\n26417 70030\n56094 91766\n9723 65971\n77535 91538\n91946 96419\n10052 98290\n24376 43673\n69582 89263\n46075 66145\n13389 96473\n5809 79262\n21777 89904\n12694 20514\n18118 91308\n44036 65731\n42412 52880\n8003 17540\n18961 49081\n98699 99577\n66015 88183\n60240 65032\n12212 47934\n58835 93513\n10833 74132\n14450 73227\n47400 71563\n75590 86069\n22300 47044\n7935 87616\n1827 21172\n13531 62065\n63831 84831\n7129 66950\n43580 63367\n20773 21627\n57027 98652\n52961 53194\n30429 47610\n17315 74152\n29003 65360\n46874 53867\n50926 94256\n38147 97594\n62996 96078\n41261 99415\n87335 98628\n7953 90045\n76882 99556\n75552 93147\n57301 92578\n16839 65461\n77407 79103\n27411 93146\n52747 62076\n17668 21012\n71870 95714\n72355 89731\n16423 76000\n45466 70356\n8000 84952\n23537 77701\n47932 67912\n39820 92562\n5367 65102\n38250 82565\n4382 31953\n39169 75353\n70616 87475\n83395 84517\n43162 60831\n37310 70322\n43456 74323\n17311 24932\n5096 24085\n6445 74968\n57768 69082\n52761 66245\n4671 46863\n38701 67137\n37781 58817\n1205 52753\n26957 51718\n23195 78460\n1228 12207\n28488 91937\n2224 39738\n4126 70861\n62005 66693\n55391 81999\n49201 62066\n1587 91189\n2732 23806\n8116 78048\n21471 79187\n705 88803\n765 73141\n22257 41226\n41269 98274\n44036 47230\n80936 89330\n1219 97728\n39783 78564\n63913 96696\n38331 69292\n12839 78849\n12241 15892\n4122 16446\n33434 94253\n80227 85747\n2359 16086\n82103 86942\n55050 98649\n861 87443\n59995 62979\n21512 40410\n9250 44473\n10742 69061\n51120 69668\n3451 14158\n36450 76457\n27956 57995\n53998 70301\n59002 73345\n35805 42088\n55147 92494\n55019 73517\n31128 39201\n39048 93267\n44707 45978\n5733 45066\n80502 95476\n5717 99084\n32399 92471\n12573 49151\n9987 21435\n16819 66390\n22155 24732\n48430 62972\n9802 82519\n407 26256\n38984 67283\n77011 77141\n34851 39802\n19831 66607\n19927 33902\n3411 64499\n27292 93174\n17692 44738\n57116 66235\n17705 95067\n7580 75339\n32714 92331\n36869 42825\n14746 34396\n49181 49666\n34413 69811\n6588 42406\n11461 28322\n64676 77565\n10135 20028\n11717 51851\n32186 96912\n32953 50896\n677 34203\n24249 35862\n71464 94532\n29644 31423\n29235 56177\n16114 70092\n23964 63664\n76720 94000\n2369 53681\n25857 54584\n32581 42980\n70903 85826\n24944 90503\n73807 80232\n14093 54846\n40666 94313\n13542 92470\n74913 97903\n35636 92287\n28953 95239\n39101 52867\n10493 60791\n6522 47624\n857 87324\n44921 99216\n43308 97022\n4008 57907\n65796 80737\n43271 45811\n79510 86403\n17614 72535\n36401 73849\n27283 57300\n3997 26896\n29470 44514\n46112 71979\n41761 48282\n38172 93793\n24929 32705\n14636 60314\n73911 76030\n22778 53023\n28953 68407\n21364 23280\n65405 90709\n8159 33687\n35787 44681\n21951 37617\n30284 69058\n27481 65622\n105 68314\n35406 39109\n21994 56593\n27733 95864\n51539 91429\n62587 99414\n82289 84331\n48127 94748\n14768 93356\n13456 81025\n14389 39022\n45696 74469\n68305 75417\n45384 60351\n20154 48001\n18292 74981\n48270 60537\n38516 81043\n2764 51726\n58459 87123\n46863 82936\n59499 73598\n44751 77858\n33387 83364\n73906 75969\n80651 84244\n43530 90464\n21304 28029\n24232 40763\n10901 86746\n49770 66044\n81874 86449\n71978 88775\n64260 98933\n13662 31426\n67521 88862\n72628 93149\n54996 90618\n17971 72525\n14294 63154\n12619 19954\n13963 49013\n22717 73413\n28380 40187\n6696 17178\n65229 73103\n7675 27114\n31953 96903\n43611 67549\n43407 66648\n77776 90476\n9854 12180\n37249 45706\n31317 91264\n31285 67303\n95652 98780\n2689 26950\n4696 73044\n5627 72892\n45461 87749\n4093 80858\n26726 80849\n53752 64254\n13535 78464\n28887 92208\n69477 82082\n21894 55656\n15397 79266\n23191 50822\n26344 93418\n37933 58429\n84827 98581\n36254 91264\n38504 44396\n42325 95294\n3250 80815\n41290 68088\n5794 78076\n60004 74012\n99240 99387\n14069 94673\n21161 82917\n21478 90982\n38822 40075\n7760 92450\n33832 69146\n35468 53543\n26552 80261\n21609 32120\n52313 78903\n46074 74902\n14039 23056\n29176 79871\n49759 70628\n45405 99831\n13570 71970\n792 70377\n24387 87288\n63455 73921\n13229 49046\n37077 42777\n72550 92180\n75757 82333\n77412 91155\n46938 60619\n16729 25286\n8120 70094\n71592 80914\n30848 93911\n81192 99216\n7023 84192\n74181 97341\n9503 87498\n19363 56890\n53118 60884\n27805 55547\n22712 58088\n17143 69857\n22600 59009\n22686 61107\n40367 73441\n49504 58933\n10534 83740\n3291 3982\n5968 78025\n83663 84218\n14292 93959\n21913 56933\n41962 52644\n44962 81355\n8520 92324\n5423 79767\n42445 68717\n7992 66802\n8801 55995\n59637 68619\n47663 53547\n26912 59025\n7103 66755\n46424 55460\n4970 11395\n52274 69793\n8866 41893\n14172 44240\n28884 46810\n17084 64381\n32820 53751\n76016 94930\n50899 55765\n13292 74684\n10406 26881\n50853 73683\n55006 67271\n1233 38612\n31341 68266\n52737 92717\n2904 14819\n2241 46608\n15279 23298\n1109 40417\n66815 88888\n59925 99234\n32539 47062\n42087 49470\n20248 56942\n41352 95454\n62924 74378\n3125 41726\n34938 74667\n39491 75719\n13540 75193\n40441 97073\n41348 58799\n61076 86522\n27616 46123\n10148 33923\n6930 89772\n5412 46290\n12936 70656\n21489 37728\n24199 42427\n22896 85122\n518 14894\n2908 5759\n23699 40575\n65044 72287\n49590 93048\n10511 25953\n5612 66516\n51930 96723\n50988 83269\n65730 99236\n26812 89970\n72236 72785\n46825 74932\n32518 73774\n6794 38411\n6442 89613\n1162 60022\n52347 53521\n7094 84955\n9239 31557\n8894 37438\n8214 57979\n18751 36674\n74754 81119\n34779 73241\n9930 19056\n26511 57259\n3858 61273\n63 47767\n29833 85737\n59702 79000\n83336 90108\n3155 84843\n72406 89362\n19289 32066\n58237 98247\n33381 72039\n47925 93460\n52492 99908\n15161 79929\n23009 30942\n10643 12062\n56407 68021\n24987 90170\n76742 92915\n5703 69073\n27130 89871\n10643 49791\n62417 73660\n35187 66278\n393 95456\n23489 58270\n10040 50610\n19698 89161\n42747 60261\n32405 94881\n5111 90140\n65323 96233\n53402 86357\n43605 93087\n12430 67441\n14336 32288\n49148 60632\n13610 31540\n63379 68604\n59459 75953\n26735 70797\n12518 68338\n33959 45481\n11347 64355\n44903 46198\n1438 70791\n6303 68379\n46774 82781\n52006 84733\n14415 39101\n9033 23787\n53117 59756\n10074 27368\n37220 51060\n10582 13746\n14710 96346\n67193 94615\n18971 84488\n19800 56470\n47901 86039\n57064 96108\n35427 96741\n18866 89087\n6333 63300\n67408 85217\n6070 92893\n2994 19114\n73407 89260\n20801 31970\n57091 93377\n18903 24706\n14500 96554\n33470 34253\n54940 89361\n55020 70360\n17204 46209\n2160 26838\n37821 67727\n36233 99001\n76073 90759\n618 70247\n108 78473\n61959 99845\n881 45603\n50732 50793\n42610 91018\n52451 87554\n31292 82865\n59804 78165\n19722 61311\n42875 85976\n4704 72732\n10289 87521\n26973 89633\n75124 78153\n14865 26639\n75636 88209\n1294 59383\n409 24158\n19830 31462\n65113 74547\n742 66423\n35233 98571\n38258 84154\n31202 53437\n22984 65001\n60564 68681\n64294 77047\n25973 78463\n2377 85844\n13583 37571\n21723 92334\n65332 91145\n59321 73774\n60345 93286\n61525 66694\n6691 51936\n27749 96800\n77228 83063\n60080 63439\n17360 18390\n17345 84691\n8327 75503\n7624 72352\n37703 82077\n7097 52309\n31163 52158\n508 16680\n17159 47355\n29112 55879\n7194 58402\n7066 65881\n16373 68887\n6466 18889\n54132 79064\n60669 63979\n58419 98694\n78932 99308\n54980 85611\n359 3769\n5435 25586\n52851 84543\n50033 51130\n21281 30931\n10527 87742\n16954 39464\n1832 66468\n82981 92787\n29834 77168\n24162 29268\n55935 75491\n30481 93361\n23065 41616\n43294 45984\n85360 97643\n14981 40452\n33056 39158\n3719 42805\n5640 92984\n68369 95828\n39584 94848\n23917 79087\n25243 43712\n411 64520\n32454 96252\n49944 80900\n31485 58767\n16078 96386\n74044 94784\n41309 73029\n3194 61943\n8621 67460\n48962 98274\n19974 84213\n35293 93678\n23167 37520\n41706 81904\n6466 21311\n53176 90590\n13587 33425\n90877 98087\n23248 33537\n4982 83457\n10250 94377\n9441 68007\n41300 62628\n67840 83393\n17337 96670\n29546 50281\n69862 72868\n33586 65706\n19691 74057\n15052 54654\n22065 22334\n50088 55253\n39444 63154\n13131 20370\n9425 69639\n20226 23896\n27642 74673\n20820 26550\n5753 72653\n77903 80481\n64072 96654\n60277 72302\n12060 77481\n65043 86893\n19310 72724\n4542 83309\n53082 80926\n20410 25376\n43784 77134\n39800 92992\n5650 32469\n47927 50194\n79157 82184\n27096 68222\n45129 49333\n68765 82565\n5731 73045\n11632 58776\n12387 43886\n33742 42956\n48423 89844\n43946 57531\n10330 64297\n2297 87647\n4790 21592\n6084 29271\n27051 84733\n8178 74503\n2387 61488\n72167 94386\n24211 62755\n68929 84390\n21989 70606\n4745 52157\n59145 99461\n21022 83627\n44257 50062\n2669 96277\n28907 39833\n53943 80592\n36912 75391\n2779 83384\n90805 94237\n2920 3341\n43204 82681\n43469 66228\n32975 96605\n4472 52731\n19207 69170\n28479 44460\n26818 79906\n68548 98250\n33562 53954\n11126 88928\n5956 74068\n31790 68678\n78254 88567\n24213 35784\n53132 81665\n25252 51425\n71248 81805\n7024 43377\n7613 40986\n75970 99844\n30939 92512\n8158 34782\n3032 99959\n62200 65113\n28764 67036\n33215 56738\n61243 66075\n39043 66906\n86804 91270\n79454 93134\n4841 71606\n10377 52425\n66547 73379\n22814 65198\n18615 52103\n56225 68709\n62326 92716\n12219 36664\n23890 29787\n35987 51633\n75665 95302\n50567 99681\n62947 86215\n7486 89230\n3746 25737\n61932 86120\n26604 77619\n54050 76061\n36964 49575\n12912 61376\n73321 80422\n37232 39836\n50919 63057\n5436 49933\n40733 45096\n60950 83777\n66057 99529\n24225 30001\n4792 62467\n19677 76081\n57376 60823\n21535 27078\n6236 37667\n20477 94501\n29801 57556\n26628 58062\n13966 90839\n15996 70991\n15843 33118\n18707 77839\n38306 52723\n36833 80979\n36556 78697\n18927 66975\n32964 59593\n54317 83109\n4262 6872\n8736 93065\n62223 74126\n67396 68918\n53104 55553\n5309 54509\n52846 58238\n27134 68402\n50479 84505\n8258 68777\n68070 85716\n53893 78273\n13396 35585\n60677 79259\n124 28302\n775 59612\n8811 51100\n25593 96862\n2520 92396\n30237 37279\n22131 79956\n58706 88997\n63004 86771\n19513 48018\n58330 94169\n8896 55914\n65132 86193\n72945 85943\n16911 57042\n60738 65385\n75750 91054\n38031 58834\n20236 57324\n58928 62934\n10578 83208\n24000 72087\n55707 90651\n14965 93962\n40450 82531\n10202 23848\n34212 45816\n43543 69120\n24161 63773\n23317 62228\n23750 36490\n16712 36975\n9730 91814\n25438 95302\n39061 95562\n47610 54734\n39106 87165\n76773 98375\n30271 60674\n12134 14243\n32861 76662\n46021 54602\n12537 99315\n16563 42917\n16280 40205\n14398 96704\n58024 96176\n4762 13887\n2293 19536\n17017 85519\n37485 79981\n11370 44971\n17516 35474\n21189 59657\n38782 92452\n48226 94953\n26266 75456\n2463 84757\n40818 48870\n7407 15643\n43104 47932\n5515 39140\n37933 52485\n53459 56020\n11505 70049\n27616 84785\n33303 52695\n11430 40927\n56153 83327\n69420 94525\n9237 54055\n11774 74193\n1525 91611\n33274 83337\n22584 75447\n40147 65820\n84638 89598\n27274 36268\n73151 87653\n44639 76010\n5556 53347\n14358 59755\n32286 32789\n21195 45835\n14786 51604\n25497 69746\n76040 76217\n27730 65215\n37881 83970\n7162 87447\n19492 42785\n51139 54669\n7978 77167\n5624 62750\n7478 72457\n12087 39344\n56954 92865\n23643 89738\n78411 81466\n67914 99556\n18578 41698\n37453 46421\n12812 27928\n555 81163\n70194 91297\n25621 47565\n22167 93669\n47546 90163\n61421 81184\n34679 53518\n11266 99726\n31672 59583\n56761 77406\n58692 81591\n20588 92960\n21804 99438\n31889 90484\n62083 83297\n68608 73132\n41196 79312\n42819 66293\n36867 47241\n7967 75112\n10995 94198\n76841 88821\n52245 97917\n11876 14807\n8589 78088\n19820 50412\n58952 67937\n8784 15456\n35406 87711\n4590 27751\n37256 63553\n24996 68339\n45878 81084\n39484 42018\n16182 65617\n7534 56476\n54382 58269\n34768 71374\n18468 43797\n24223 51678\n50184 98038\n4770 76432\n54947 95666\n22056 44631\n49267 54867\n57646 67122\n74784 96846\n77764 91907\n18326 91190\n84706 97034\n26971 51409\n46450 84072\n12976 69785\n66405 98562\n40767 99575\n4486 84189\n20279 74171\n69418 83569\n31364 39628\n505 38829\n31282 88538\n32061 76052\n90322 90918\n55753 73820\n19756 95207\n64945 65605\n66927 98562\n14120 91186\n5362 25485\n14344 75796\n15638 53391\n14649 36823\n35564 45659\n69628 84082\n10151 41845\n67987 88805\n15084 43697\n30502 86973\n16289 91355\n36078 63345\n48086 71657\n26610 37938\n81412 84607\n79043 96792\n18924 54671\n7297 11655\n31979 51900\n7818 92278\n50295 58638\n77517 77914\n50350 50629\n60444 88092\n1879 43029\n24625 92277\n5563 83911\n34062 52921\n72904 82903\n25126 75647\n10135 16315\n2665 61960\n40352 53309\n16257 44464\n22703 86164\n61937 62119\n6658 32694\n62138 83966\n56174 84256\n21600 67068\n18945 43325\n46465 46880\n27551 91706\n19214 57891\n9246 68871\n62880 75868\n9701 13913\n438 80314\n3989 36480\n9598 39690\n49082 88506\n2507 21571\n13599 89911\n16956 30108\n38495 70086\n48605 58409\n2098 96271\n37109 99802\n46908 77908\n18057 36794\n24567 44083\n45942 79412\n50157 83486\n23443 80808\n23994 42888\n16802 89706\n17789 37615\n15684 83807\n11755 25432\n36462 73830\n13827 41525\n10465 75740\n67178 89761\n68894 77590\n29454 96754\n65135 67882\n81810 82438\n86419 93766\n22349 38511\n12096 44784\n32430 57991\n33160 41304\n43144 50187\n68047 82070\n16409 92127\n22673 67687\n59272 92001\n90753 99052\n8242 18964\n64793 96538\n12333 62788\n60637 84398\n22099 99910\n24656 34348\n44294 56472\n113 28571\n69387 97059\n59119 76712\n54696 62066\n1100 51287\n63443 67721\n79800 89167\n13138 32013\n30522 51316\n71619 86324\n18196 51953\n211 26040\n75271 78603\n31483 95853\n70113 76058\n54158 54320\n16780 38746\n21331 38375\n49654 77105\n44752 63692\n14995 85578\n65292 80903\n36874 37165\n14230 53182\n26026 65751\n27371 80852\n18741 92588\n36551 80156\n73140 86840\n38160 40795\n94365 96272\n53169 87909\n24053 80249\n48168 96092\n3116 44297\n69262 94953\n26408 79556\n51394 54165\n4902 81074\n35033 90623\n56453 73864\n71709 82831\n27322 94081\n44254 98139\n25129 48122\n26221 69138\n60954 80431\n67114 92202\n6206 78550\n71170 79875\n52 65703\n81453 89794\n26123 27207\n13010 51646\n4738 35455\n54612 70938\n41377 71409\n41600 42885\n62 59370\n15797 97459\n17046 36583\n22390 79148\n19313 35998\n28338 37252\n26765 83743\n27189 91170\n51686 97253\n13664 37066\n59856 68116\n73400 75831\n24864 60238\n27793 34592\n10173 21816\n26370 80395\n41166 57498\n33242 94827\n19071 74192\n29517 74925\n37620 96849\n16857 23088\n11325 91529\n89069 98068\n74330 86431\n47759 80715\n44313 78951\n48889 56403\n43367 57669\n13023 32967\n2365 94521\n18862 50333\n7369 36216\n26144 31577\n10980 80997\n67227 67569\n41214 71243\n19242 99116\n37129 67221\n31688 39137\n13394 94425\n6540 89783\n17937 86846\n912 56594\n2919 60287\n28703 68037\n24380 75133\n10876 55160\n40482 94146\n35258 85951\n64144 96611\n17236 64987\n2001 7671\n44957 84730\n23321 53141\n78464 91395\n59016 83451\n30556 34459\n11985 80930\n34628 85546\n88014 98712\n25048 25568\n1236 18591\n1441 95762\n49327 86842\n46809 89271\n16794 32183\n56440 86317\n9491 26836\n33445 77296\n13651 99163\n43830 62869\n54751 99116\n4438 51808\n55792 59968\n87376 97119\n72482 92442\n47481 60390\n15071 30099\n7060 39148\n28553 73177\n22378 48039\n2264 63040\n75511 95706\n20329 25324\n62062 92324\n5816 81771\n19619 38000\n15791 22735\n60925 61134\n10616 43476\n30860 55824\n71599 77056\n20320 60755\n21206 29197\n51719 55699\n52845 79231\n55289 95676\n46695 75890\n27204 60480\n17302 90338\n22386 80908\n37530 65545\n67779 98784\n55554 64285\n83314 99843\n14788 33336\n5295 22075\n816 77012\n54912 96938\n19160 90126\n44877 82148\n33146 54644\n43263 56750\n32369 49244\n2107 67110\n41442 68205\n21055 67028\n5089 72972\n39717 55425\n74219 83513\n38486 64559\n67299 90955\n27192 60845\n5205 78548\n21865 57824\n69748 81851\n21479 28307\n4654 11096\n69416 97189\n26185 69896\n5872 32488\n30556 46760\n7681 88479\n11722 26008\n41175 59632\n68959 85200\n222 64073\n7894 13010\n33047 87955\n42090 68689\n53084 82703\n28918 51665\n16496 90190\n14746 95244\n25849 80001\n43755 47325\n49559 58109\n20834 54187\n31113 64229\n86681 95351\n15544 33178\n35180 49114\n26730 84031\n10938 73407\n21496 84986\n17363 51609\n33729 75826\n13623 22403\n4058 78272\n55454 93595\n79776 95626\n60342 69222\n4063 39895\n8854 14205\n48904 93993\n56896 71182\n32443 48412\n27846 79626\n45057 92157\n47451 87785\n61123 90221\n72282 80705\n9807 14758\n13003 25167\n47687 71796\n4199 58102\n23053 61365\n7771 86202\n30946 51022\n52499 94348\n25923 31517\n8450 93861\n34579 45394\n47725 78042\n47911 92842\n7709 78875\n47866 72388\n41825 69227\n3285 28334\n64894 65138\n8151 28274\n51869 70101\n11155 12201\n14951 74221\n70467 93052\n2003 94288\n8074 54384\n12094 90533\n45452 70715\n25595 61378\n27170 68312\n10365 73887\n52103 94918\n34989 83434\n16537 19209\n31900 52980\n81146 92365\n55170 60997\n249 65984\n17712 32541\n4766 67755\n2042 49297\n70376 86568\n69053 91493\n5502 98301\n18679 75147\n63060 69430\n51926 54823\n3729 64864\n6246 24849\n11054 83250\n44475 93882\n46029 92237\n10809 25233\n70701 76758\n31302 91652\n11903 47807\n1932 26596\n40730 70692\n53116 53574\n15068 94654\n8198 18384\n38152 55416\n27015 31030\n3353 96676\n33870 34237\n15292 69603\n11128 44866\n2039 11074\n17066 47894\n47729 94468\n18512 71434\n31607 93488\n28140 33898\n52066 75298\n11283 57091\n4458 92387\n24428 53487\n33457 88949\n52141 62454\n82203 86127\n39032 54025\n47874 94971\n46913 63693\n10221 55144\n30239 80338\n11740 32800\n58373 66728\n9798 64611\n16087 87730\n15492 53465\n1017 8565\n30754 69151\n16907 80620\n25144 29988\n8476 19264\n75745 81157\n17038 40986\n80484 90241\n19476 22132\n76592 77936\n80788 96700\n2674 26078\n40322 87652\n26445 71724\n68052 75504\n74457 92168\n61420 68849\n8956 57181\n23260 85152\n43839 82390\n24201 75480\n40046 82323\n46135 77918\n38958 86383\n27042 43088\n72910 80806\n39269 44450\n74354 82415\n41404 62935\n44040 64908\n1809 23211\n57487 81542\n11540 99959\n39455 93354\n26047 33614\n50889 68012\n92614 97093\n73841 82204\n47661 91211\n38610 86455\n40797 92517\n19528 51262\n72654 92729\n34297 63514\n30568 39068\n1605 50930\n66511 80605\n45592 53693\n74863 86094\n30110 74635\n62842 94207\n61602 65928\n31555 61062\n25843 40258\n73659 95360\n20050 50709\n63 58400\n53393 60623\n30525 96907\n43441 68173\n3672 31264\n22417 86790\n15248 19065\n78973 85695\n60018 83749\n11914 98488\n14921 30179\n36673 66496\n64971 87127\n44348 85397\n35308 70283\n66806 90281\n15514 37807\n39065 74438\n22727 40504\n50473 99209\n16856 58701\n21743 36368\n46394 82597\n47073 56673\n41551 88191\n2725 4055\n48790 87846\n33462 35229\n23694 95219\n37036 94350\n52586 63629\n43126 81809\n22723 44903\n53347 81664\n49390 49899\n48808 76559\n21240 65411\n42956 85368\n28271 74480\n12877 86421\n34285 45620\n63601 72653\n26134 69548\n83244 89685\n36894 76869\n52451 83888\n18810 54568\n79954 98443\n2276 35517\n70074 94217\n6607 10201\n78641 94132\n4540 48020\n5006 24709\n39207 53784\n49171 83146\n77517 93079\n7922 91406\n32261 90180\n1322 11263\n24518 81725\n30485 90780\n10217 99629\n17183 71630\n28402 95416\n578 65875\n35640 64129\n80727 87517\n19243 89008\n28979 93298\n10858 83057\n23584 83579\n58843 84391\n13015 15667\n8556 31515\n21238 41259\n23850 40529\n72946 78774\n32593 96156\n22626 81187\n2918 15779\n57096 66996\n33662 51556\n34987 84035\n22346 45934\n72642 96584\n39630 94140\n1332 62841\n14311 63158\n4180 94983\n22923 81492\n20920 63949\n44216 85276\n5730 44012\n40685 45366\n68356 96576\n10083 49477\n26647 42956\n34649 84627\n11787 90126\n11547 65387\n29374 65723\n24909 34917\n35712 86753\n53946 63899\n23152 48405\n46659 67065\n2995 74280\n36019 54954\n43157 48629\n11686 66301\n17849 92815\n19062 97194\n35098 85727\n22867 95405\n4208 23744\n37107 67757\n34078 71680\n3548 31618\n21485 70620\n33626 37919\n51053 91792\n31880 59801\n17995 68660\n6881 75123\n46678 71620\n15691 72731\n14934 41210\n52915 60126\n78899 79132\n95344 99959\n2884 76219\n36287 54370\n63263 89140\n31414 33629\n91206 93301\n18711 89620\n39967 59271\n62985 91941\n58490 69751\n54909 86854\n59332 94708\n39041 62933\n40928 82548\n56927 57670\n21193 37228\n33451 86153\n46110 58925\n42083 46796\n24351 80721\n32731 34665\n65064 72935\n39334 72600\n70871 97137\n32716 61970\n76519 84820\n53687 92235\n10972 29537\n25301 95656\n44337 79807\n13495 71650\n59464 82769\n26722 76759\n30921 33532\n41871 66046\n48134 81129\n51747 64122\n32802 73191\n37867 60531\n65384 93655\n58074 78663\n68007 97601\n77716 82024\n11762 17797\n43806 95741\n38929 91337\n67635 79231\n32953 88067\n30415 67887\n76897 78255\n16477 40659\n9723 31232\n27412 96917\n33456 81700\n15890 22672\n12867 53856\n36783 62224\n13317 17777\n36918 74068\n57847 95883\n2197 34787\n40849 48569\n30941 54003\n29503 32332\n21276 60575\n10140 63143\n54370 76460\n51643 85926\n36135 52430\n46108 62788\n15632 23964\n71619 95724\n8117 97784\n21551 53484\n30621 73411\n18470 81296\n35259 38173\n32933 69939\n18534 65316\n37859 73237\n22245 37698\n31533 62063\n22651 30537\n44221 70767\n3501 31745\n28721 61674\n9382 32920\n51467 70087\n20145 53344\n67613 97491\n53409 66676\n62943 69363\n72706 97030\n49669 87246\n52404 54415\n20100 39529\n46729 75636\n14969 60139\n26369 44760\n30541 43444\n17383 99556\n60830 97576\n58016 72416\n16083 44102\n10981 28278\n35192 56593\n23908 90668\n44910 45708\n31518 90449\n76774 86821\n44590 52232\n30697 38503\n8014 12522\n2851 21263\n12589 59196\n2574 68014\n4583 82653\n52746 72358\n8094 98399\n19759 90438\n4419 18900\n63455 96280\n4363 56426\n20287 73929\n51229 75232\n42763 88035\n51017 56454\n41951 47266\n12410 25833\n50867 72586\n70079 73455\n16284 58753\n36876 88731\n6228 99698\n20701 91554\n4028 48706\n43137 58640\n26887 76499\n45085 77806\n65119 70427\n16949 55868\n38267 57943\n7792 77425\n25664 81069\n5523 9280\n18683 27798\n49584 85667\n3933 40794\n35370 50469\n19859 21872\n34908 61368\n44541 58702\n29440 54554\n3215 12378\n9099 93832\n59468 68527\n7183 39474\n54814 87195\n10409 47508\n17696 26098\n25332 77704\n33438 40734\n69199 89598\n11852 62406\n44292 73933\n54579 89216\n15065 61910\n48019 64755\n53300 79225\n8912 45591\n18956 94852\n25854 60032\n25177 89462\n12241 80475\n32765 44003\n2804 9121\n60107 92142\n44927 94383\n14165 54263\n8563 31738\n3077 20998\n80848 92945\n34868 35736\n54348 59966\n24476 53502\n52785 66966\n24565 38081\n50743 95350\n6513 59896\n58747 75231\n3493 91196\n20846 41285\n53620 81514\n23579 97095\n6932 51080\n19174 66118\n38058 38476\n87938 97242\n45470 57836\n6112 32371\n34767 37206\n26827 78033\n26854 76097\n12566 30095\n35752 57620\n36509 47821\n37938 58644\n26308 87568\n701 39714\n11096 45265\n35078 71973\n74264 85619\n26036 83811\n3673 47759\n86594 92766\n52534 69386\n577 32833\n26156 77578\n70704 91894\n10524 40184\n43288 58254\n10017 64430\n25230 98728\n1636 61468\n40917 47833\n41069 95305\n52264 76444\n16483 69779\n17056 64742\n27936 82840\n32258 69330\n11161 68109\n38135 72267\n39666 94385\n26627 75640\n81814 82198\n46206 75379\n21832 69831\n809 61882\n15559 92893\n85867 99600\n21136 48444\n61327 92311\n27237 83629\n13098 28383\n13976 63170\n10223 98217\n16093 93103\n874 39919\n890 34923\n33709 57970\n12419 44825\n29613 38078\n43555 82240\n55269 55965\n25346 47123\n84690 87484\n924 22602\n47077 95744\n56547 89219\n38056 98021\n41228 92619\n1093 84786\n10177 53792\n66819 85774\n23082 89786\n47067 91126\n5424 49394\n21692 52403\n49870 88473\n28910 37816\n50081 97294\n5063 72226\n58098 63000\n6037 64171\n36542 95557\n62226 74153\n64088 91329\n38400 79124\n17335 66234\n53606 93226\n81409 89313\n42600 48750\n44514 89189\n95516 97657\n14281 67750\n55667 89547\n80132 92221\n2 13963\n9698 78637\n18674 66741\n25900 44391\n24301 26303\n524 47195\n65978 77073\n37280 48287\n70401 91763\n9370 96599\n22040 97340\n46870 85982\n69016 87478\n41601 84982\n18068 69486\n58874 62299\n8801 58771\n75923 88188\n90939 98695\n36750 72756\n8154 81198\n15311 62430\n43826 75951\n61209 73204\n6914 56307\n8120 74730\n40451 85585\n12287 25361\n26211 85855\n2710 74859\n31158 40859\n53629 64679\n69697 76301\n9076 33072\n17452 74606\n47134 54047\n48336 67020\n14110 82035\n18050 91497\n30393 63811\n6721 30241\n1201 32418\n75203 81757\n523 70206\n7525 23969\n3035 53208\n5271 88036\n16813 33856\n23670 61802\n53797 87313\n25955 72896\n42108 80801\n86357 87078\n8180 34105\n53171 94955\n8492 47547\n80353 81637\n36824 63447\n27058 72704\n7249 46386\n5281 69105\n2533 99221\n7928 37473\n66365 91760\n5620 10851\n10752 98956\n33436 84026\n22344 22720\n12179 79568\n63784 86222\n73009 78603\n40015 64218\n2712 15517\n36276 67935\n78738 92997\n20631 59265\n16214 31077\n2529 79420\n46605 97118\n17218 50435\n377 96567\n12696 35233\n64932 88226\n17725 43394\n95887 98802\n58686 84232\n3562 66563\n21471 71707\n6558 11240\n26772 83494\n63986 80313\n30415 32020\n40124 81418\n38003 50457\n1557 40062\n35571 35879\n30671 38096\n3069 20964\n33930 69456\n17616 64099\n62069 96518\n56018 90087\n11958 32488\n7114 99398\n31005 85651\n74145 93339\n3619 36882\n27311 38121\n18005 23556\n50155 62626\n8570 17016\n34541 94752\n74660 87068\n35988 82334\n48571 65932\n9609 63712\n11098 93683\n11927 77980\n39506 68037\n49596 57809\n27593 71872\n19375 99969\n23640 95494\n60263 71117\n34938 52376\n1075 52771\n38391 75678\n22871 82079\n26208 39473\n30876 60174\n71428 92424\n19907 97192\n81181 82386\n15587 80152\n34997 79474\n67356 91921\n69039 87629\n22885 58089\n17442 43906\n15558 31477\n49245 63071\n69855 95428\n2831 25289\n33155 57091\n61335 95048\n44903 68266\n16726 90840\n25208 76678\n65339 90476\n63142 88348\n18321 81911\n43877 67959\n9462 11953\n38721 87802\n16970 41773\n2855 44799\n78294 99728\n23080 77717\n73681 77573\n10306 65714\n58532 65431\n10689 59852\n45154 95786\n30629 58391\n41711 60947\n50096 56296\n38639 54318\n58738 61462\n75841 79680\n8047 25603\n30738 84682\n39 40679\n8315 32928\n21539 32254\n31163 61215\n3152 81079\n29526 43759\n12690 30996\n56978 73959\n75712 95071\n23596 71221\n80425 86167\n64160 84638\n56627 75946\n50224 80173\n15979 53947\n57291 74528\n41009 84769\n78821 83411\n5540 57217\n25462 54790\n7831 47716\n76799 89108\n19783 63522\n37206 95813\n33969 49405\n9816 55500\n19199 38102\n14320 84158\n34254 74848\n6991 89437\n5547 67020\n53623 95826\n39825 75603\n39174 48782\n31212 79468\n52975 67446\n70395 96565\n16844 32580\n60347 89874\n7245 40216\n32021 72513\n13141 77711\n23857 59537\n64870 78928\n7189 67542\n6713 41888\n41842 56490\n55807 84456\n12922 65348\n19187 73650\n31845 43619\n73723 78236\n7153 54016\n72658 98564\n8338 55902\n54724 57226\n27726 46091\n16264 63052\n6377 45507\n25030 92767\n30556 58882\n50932 72923\n8562 68686\n14569 23963\n4064 69179\n16897 62545\n22358 86835\n24354 49004\n11619 55123\n40402 76762\n9918 54295\n12967 62707\n43176 88987\n6683 85965\n21762 98320\n30291 76067\n7142 92779\n66223 75250\n47651 95325\n10161 90243\n56765 67262\n31140 51770\n35376 36764\n33896 75470\n23346 46937\n27758 54451\n74308 89321\n5879 75491\n15335 95290\n74698 81234\n19868 54718\n54225 58097\n12678 22584\n49058 70712\n39760 67181\n7639 86751\n18703 80689\n25319 86279\n1377 35374\n22108 30683\n49858 54449\n6860 31084\n44890 66212\n894 96149\n2115 57270\n19616 71727\n50693 66324\n30243 74488\n3102 93079\n31948 94849\n60495 67082\n9084 43508\n83445 98795\n4748 55426\n38037 96825\n45959 46751\n10758 76383\n31348 73290\n44522 71696\n72228 87248\n14136 77108\n56271 76508\n70477 80642\n47915 49188\n12898 15793\n34466 59561\n65690 80974\n36335 90709\n20260 61436\n43240 57509\n88353 94961\n29171 82349\n12806 98070\n19928 60399\n45667 99557\n21307 36625\n24360 38694\n13094 59851\n14384 90499\n34665 53753\n20153 82619\n66556 78409\n69680 91736\n56576 86600\n52461 85618\n43503 71611\n74215 82897\n9290 79766\n59141 68952\n78336 81303\n14607 97845\n79299 98154\n7696 21322\n74080 92203\n84113 98743\n32790 88883\n6900 70973\n63864 96663\n18936 92181\n56418 60112\n10224 21054\n2775 79348\n40555 48422\n77633 97033\n25770 70811\n97161 99106\n32268 99587\n35845 91428\n58357 82760\n37360 98170\n55448 59428\n89907 93033\n11889 43090\n12230 86155\n14195 68807\n27976 34028\n19502 92204\n67461 70364\n45472 73713\n72086 82876\n21011 96581\n32011 62962\n66953 80105\n16605 46584\n17352 28201\n38301 50497\n42685 83806\n8854 20174\n42480 43398\n6993 10688\n19295 45064\n7235 62366\n75965 92994\n87075 96502\n6018 49058\n38468 64030\n20473 87033\n1657 51296\n19889 46854\n61144 91004\n63625 71743\n6271 26241\n4482 59790\n41633 70763\n2810 25983\n67492 83165\n54423 64037\n73069 86284\n73433 85291\n36491 38214\n16319 30629\n53208 78563\n32763 50683\n31355 98231\n44228 77483\n82182 97929\n5210 23366\n80273 90934\n21252 95762\n32607 93420\n40766 47630\n21995 55732\n13229 36349\n41231 42537\n79200 88197\n76295 99271\n13514 53436\n42452 43967\n34214 63522\n32282 89225\n43773 96708\n59426 68898\n9120 83209\n40559 64045\n6491 50253\n93105 96935\n6776 42403\n54048 81145\n29867 30716\n38266 55874\n7540 67716\n21136 63928\n4081 86788\n53960 97092\n33574 54103\n43450 99213\n82071 89778\n30373 83456\n30953 98258\n47191 59834\n36992 37645\n52581 71223\n2043 35697\n82853 87175\n1244 44929\n69429 89369\n26001 64033\n46743 96204\n64676 65593\n2987 6669\n57204 84647\n37184 47011\n2884 76267\n7426 80619\n52299 67731\n36835 43865\n60076 68751\n66869 70633\n26968 66125\n81973 94489\n56662 76292\n1150 65573\n2788 50100\n14685 63426\n5006 5426\n6983 37203\n16771 84644\n60046 92992\n51421 89665\n3885 42850\n43184 61805\n1683 69061\n22426 58225\n10804 85398\n65025 72087\n29690 99555\n59913 66791\n138 56444\n26552 27343\n15247 63658\n396 39622\n37306 95640\n13987 20905\n41530 99293\n28097 34399\n1654 36719\n18216 55614\n26685 84638\n50659 62760\n83595 92936\n33776 82283\n15255 48726\n46666 98315\n65077 70912\n58740 95094\n21201 28471\n3248 95468\n53833 60201\n84269 97084\n62562 66416\n1212 55511\n32589 83894\n2492 26402\n64049 68238\n45515 56319\n48704 68508\n54253 69808\n46852 94999\n52780 79476\n43892 64343\n37441 78262\n35146 65833\n46140 77470\n27167 88913\n12828 61788\n26023 51840\n1471 75376\n19561 62736\n6136 13069\n73280 92489\n43570 55851\n50565 66620\n56649 75928\n11799 70258\n15993 20962\n5446 15195\n23931 43562\n37498 41428\n21974 37685\n20783 58821\n12979 35948\n35717 83624\n3714 16366\n88656 99353\n5532 78847\n72522 79795\n35427 68004\n7508 47447\n16834 48268\n4189 50299\n80515 91003\n31573 78705\n48131 59845\n53781 86041\n47446 62957\n35768 74199\n13177 41497\n3856 33263\n42349 47956\n28214 30252\n66210 94839\n7126 87049\n65361 75529\n20645 97667\n56229 62122\n3334 59875\n91570 95539\n18916 32701\n10392 78590\n876 95205\n51260 91340\n52658 85246\n44666 47567\n87947 97061\n16420 51889\n23520 26288\n19533 31396\n37063 82402\n11508 41335\n32080 81190\n49493 68118\n15165 84685\n66975 67002\n34090 89820\n56916 71733\n9352 96202\n71488 73578\n32199 57930\n85258 89027\n2050 94754\n22711 91848\n75713 90435\n12476 65574\n39097 60679\n42860 91789\n41821 96296\n30665 41881\n38939 77980\n1495 23464\n56456 62553\n5699 33773\n46466 76879\n9637 85621\n5278 21635\n14343 84772\n83559 99151\n62858 66371\n37696 54179\n7663 41050\n63259 99804\n50826 69253\n89230 91918\n19595 37104\n35753 80601\n57751 98377\n13721 40083\n22182 39180\n571 78055\n17643 69961\n26589 58423\n44676 96779\n4099 6402\n24152 76972\n9526 35548\n15665 34747\n46632 61538\n57387 85848\n1907 56825\n61244 74304\n11310 36507\n31889 32689\n50915 92063\n57944 93024\n23511 61025\n56878 74879\n35731 76010\n36098 40686\n9690 88930\n73297 92953\n14409 90342\n44616 64618\n35506 97649\n18543 46250\n3380 60782\n36642 41464\n36763 59915\n27598 72562\n80035 80524\n95139 98688\n63458 97783\n2353 65453\n30724 99904\n59835 83303\n35300 94593\n4665 33823\n46913 95957\n30328 44558\n21049 90495\n15765 76546\n13355 80439\n24292 94355\n29928 57363\n21409 80755\n49401 75953\n15896 22182\n69124 75086\n23907 33490\n59447 90907\n11059 30201\n19802 39302\n36966 73524\n44587 68948\n57324 94110\n27534 88612\n13599 54912\n29167 91539\n9324 46809\n12952 46172\n24626 35278\n18375 52556\n66376 82604\n33171 55661\n25754 35381\n18287 69972\n2719 38161\n21288 64779\n20154 52409\n34639 79661\n5672 50602\n24727 83638\n10051 64183\n51603 58842\n61637 92756\n14890 20086\n54978 94163\n27859 46915\n25768 61653\n17492 81286\n13944 97822\n21154 28496\n21541 80099\n3948 4923\n41825 49766\n73123 76640\n19505 47349\n4634 7097\n27795 71155\n27668 58288\n17405 31910\n93020 95071\n34586 67336\n61438 99703\n57470 78811\n45092 96282\n3204 20225\n4856 29869\n27965 62817\n28313 84386\n13338 85294\n10634 99801\n67581 93560\n14312 88576\n42061 60721\n7911 66681\n25243 43717\n49125 56070\n21128 57644\n43361 45734\n54669 66480\n62408 80435\n49790 99648\n5069 63756\n29613 47674\n45161 71645\n49502 80507\n15306 42877\n956 10039\n34249 78433\n20507 99968\n59561 62777\n19593 73335\n85645 99469\n41032 76545\n48480 90923\n15552 20806\n56406 80354\n18682 92664\n83117 87167\n18630 32890\n50487 81161\n13000 27519\n7992 54101\n30437 78413\n45275 52159\n78628 89799\n54510 69428\n36419 96070\n62330 63419\n14739 19825\n57478 73491\n1684 51715\n63257 73688\n59933 94157\n48804 72879\n73219 74408\n17114 71808\n8083 41994\n26639 29296\n371 49636\n35908 63193\n46121 69283\n8825 92171\n7484 38187\n30266 51339\n18708 98225\n87328 92771\n61789 85224\n25319 70017\n7832 93295\n39553 57989\n91294 92226\n37735 49409\n64322 81613\n23837 88436\n11635 41168\n22275 88563\n48272 54260\n20090 71185\n55740 68652\n37136 72369\n11534 43346\n10454 25209\n8190 14611\n37414 70830\n34239 65796\n1055 51057\n12340 76994\n33468 52869\n454 83404\n24140 44847\n41648 79491\n77182 88718\n13847 86500\n16930 47342\n11879 67759\n27178 66929\n4693 67529\n7059 87290\n37652 66289\n49037 81590\n56534 99137\n77420 79693\n37540 99396\n14943 66098\n45784 83674\n54254 68256\n21913 38373\n4284 60455\n23425 73037\n21504 38960\n565 53332\n27507 29008\n19143 57614\n28149 42854\n27881 77423\n29994 46690\n38002 59446\n13960 93296\n6307 30759\n29691 66446\n86301 88452\n6785 25993\n34984 95039\n1227 31211\n14454 50043\n23276 81452\n46076 50055\n5856 44243\n17404 79636\n20153 47412\n3190 87176\n35619 83771\n47616 63937\n3588 7947\n22408 86228\n83939 96909\n39617 64521\n7937 78660\n41331 93530\n2305 35899\n20892 35605\n25571 92067\n45244 95392\n2064 28095\n27605 65967\n35909 59972\n2696 30160\n1852 77881\n11075 94068\n599 49191\n29694 39348\n16807 31840\n57202 74447\n6256 60925\n39056 70529\n56928 96877\n25454 95549\n40558 73329\n91369 92803\n16293 80404\n4021 39528\n16258 75666\n54911 92805\n39560 89180\n20599 39344\n3565 42205\n29172 74823\n18342 61870\n9550 52203\n38459 88158\n16470 41026\n9928 33572\n6456 19340\n29926 83375\n48531 72509\n7143 98972\n2273 13294\n32616 58782\n53682 96466\n15269 87297\n65255 65332\n7289 62292\n17181 51159\n10675 33224\n25688 30130\n12749 79904\n43015 62249\n33972 64089\n19847 22368\n17433 98492\n7109 22743\n18582 83823\n26540 29773\n41498 67202\n867 63935\n80327 94929\n83015 93899\n38186 59536\n23954 51778\n2950 55978\n4486 58281\n1140 24979\n58738 88922\n9530 40256\n4746 16644\n20185 47477\n13161 87649\n56514 87764\n15328 96540\n36603 60382\n539 40771\n37666 73814\n7629 10856\n18351 18506\n24618 77116\n14656 25334\n23972 59132\n25470 90287\n1386 36632\n48682 77896\n55178 94234\n13932 19467\n9032 83156\n6686 78829\n9769 59138\n15849 26387\n5625 75015\n21647 47766\n48890 83572\n8775 75887\n5123 24808\n53930 96102\n15362 25129\n14072 45004\n34512 56451\n25104 63028\n2875 76221\n65023 69016\n15271 70534\n78199 79022\n86915 92414\n43406 60103\n57226 72552\n71627 85396\n65283 97874\n36570 71515\n28902 92845\n67562 91972\n71389 87563\n9199 78912\n48175 86762\n25592 80058\n23343 57006\n11823 35570\n2883 42761\n489 97020\n31647 94104\n33374 61364\n17665 28730\n1202 41959\n44700 60078\n21102 63400\n70535 80024\n80776 83046\n20594 31348\n57064 68306\n83179 90199\n52213 96252\n40977 43957\n81170 96320\n48072 81509\n4046 51823\n86819 96998\n38965 79545\n19897 43986\n34168 36516\n80917 94838\n45991 49502\n61230 64209\n22502 47654\n42986 78855\n22637 38934\n74725 90002\n22048 69358\n1744 82972\n7317 12006\n3697 32699\n11639 41309\n33079 94599\n15178 74437\n49663 54329\n64151 70966\n29962 32238\n26220 40570\n29695 94911\n55379 80217\n50300 75744\n13027 75454\n2414 92360\n61122 98891\n16355 19208\n78038 85335\n45954 70968\n37358 76460\n29223 51249\n41494 93052\n18967 84555\n16282 40623\n54380 95469\n39009 77740\n25701 80493\n243 65820\n700 53660\n15165 85143\n16327 74451\n51215 65100\n6503 62332\n24740 69886\n2351 37864\n59355 74772\n52148 87116\n56771 68942\n12475 82433\n25768 38449\n41767 71229\n30610 57822\n46619 47645\n69331 85455\n10253 53105\n21270 87587\n56134 99102\n16968 43234\n31076 66387\n54116 92457\n10336 87282\n75715 82091\n27311 53778\n1227 28359\n54956 65477\n75049 80909\n74891 83875\n73732 91591\n83243 83954\n13083 86834\n52431 55488\n653 22107\n17701 44026\n8349 61290\n21048 78851\n62911 69335\n5028 59635\n32688 51671\n1645 40494\n56522 83622\n421 34881\n6403 62813\n80433 89416\n26226 31015\n43977 52436\n38889 60687\n19160 34474\n1945 93178\n47684 56270\n42169 92977\n21368 54036\n5167 56712\n68373 76264\n67198 71682\n20371 50421\n15951 61198\n16086 97103\n17321 98440\n230 61486\n58626 94100\n39452 88154\n37021 52361\n82691 83257\n75903 93293\n56487 72564\n37306 72496\n19601 32299\n78760 98923\n49201 75158\n87508 93089\n34705 41886\n9010 26935\n29387 62350\n23260 64840\n41100 85136\n3744 42401\n33549 85145\n22508 67508\n15310 54778\n9665 79832\n52477 73059\n25912 78507\n23271 89549\n13396 35191\n21502 65432\n23233 46410\n97797 98121\n37643 88108\n69525 94204\n39519 65677\n64060 80121\n31988 84532\n24197 62319\n20826 49403\n2218 41389\n94404 98305\n19726 67899\n2366 7688\n5463 23968\n66030 82267\n38940 53410\n15035 16076\n23881 37432\n58615 83652\n14525 32264\n16542 64592\n67748 91845\n38285 58591\n24696 75180\n9967 60479\n30859 94881\n4102 71579\n36281 68620\n26663 40219\n30106 63969\n553 20702\n56105 98628\n62097 86445\n28741 47582\n23791 92816\n39209 52432\n17574 93924\n24700 49147\n9643 30325\n15133 40049\n44326 98010\n20907 45536\n31163 34521\n29309 71358\n27142 69886\n10764 73984\n13322 99753\n49575 77238\n14569 73688\n15359 99382\n27053 34132\n50287 71798\n18041 18667\n56284 90252\n25206 82377\n57154 78191\n67563 79184\n21941 58684\n3671 31029\n23053 31682\n15354 28828\n11486 73194\n11458 23709\n58769 92987\n50978 92140\n60105 81835\n26568 31141\n12595 90282\n33986 61219\n77279 89343\n81774 86515\n4188 62525\n36634 88013\n91166 97167\n47374 99234\n11996 78756\n9726 57868\n8059 16728\n50634 61162\n14939 28329\n26289 34624\n2041 86862\n21216 33903\n4683 91741\n61004 98416\n39501 49621\n25100 78328\n87095 95563\n65871 70644\n23064 31654\n34816 50389\n14998 83717\n31085 73149\n11047 82318\n12464 46308\n76779 97660\n8095 98145\n14653 61799\n33900 40658\n39535 98185\n77357 82536\n24083 87983\n10236 36225\n31563 54332\n31612 44603\n58680 70480\n32821 82608\n62734 88061\n52704 78828\n41178 76550\n51797 91051\n33288 95452\n30272 77137\n6155 88476\n55383 57478\n68676 78298\n48104 54028\n71407 88641\n61906 66734\n43114 50490\n26969 77709\n30778 31738\n33132 98797\n65301 81029\n23836 26060\n20255 32300\n46391 85264\n16247 70256\n92995 94861\n30377 49561\n26168 97843\n29208 76852\n11014 29626\n8055 87519\n68595 70145\n9534 91618\n7155 60439\n58317 63991\n42522 44323\n6944 95319\n25792 47250\n18738 32427\n44287 66255\n4478 77250\n57093 68992\n64178 75311\n70669 85752\n18206 97484\n36315 72308\n4000 95241\n1103 76768\n74537 80967\n73616 82767\n54652 87306\n662 4073\n15227 77647\n1385 5844\n61889 77197\n924 57956\n906 3728\n13338 72317\n25822 90932\n53440 85314\n49798 71710\n60929 66293\n21900 41018\n14991 22482\n85170 89817\n1775 45384\n25466 87327\n13053 44822\n69530 93829\n33106 35036\n11928 32001\n67287 84603\n26321 50673\n3706 47819\n30852 47393\n52441 78583\n49483 76258\n19848 55718\n23429 44321\n60349 86863\n9552 99597\n53640 56840\n51721 79970\n7666 28163\n40213 58411\n72748 87185\n44383 94636\n63879 97326\n25740 95176\n498 69497\n11925 99198\n11499 66163\n13691 60086\n5969 71275\n15726 91504\n26510 52544\n5872 99090\n5149 62128\n29451 39359\n86255 91427\n3916 68814\n87899 99660\n24269 58549\n35515 78462\n2051 45458\n4918 34044\n39530 64588\n35940 45383\n56121 75835\n7957 30381\n74800 92310\n12812 98115\n174 26788\n58168 80866\n44233 99882\n1198 73694\n7556 9733\n37532 85410\n70039 84125\n92882 99055\n42003 85293\n18422 36006\n7883 70041\n22324 49950\n66061 76284\n12636 21776\n63381 95038\n72938 94530\n4484 89716\n733 46010\n43833 68139\n41489 80635\n6247 8210\n17018 73118\n12356 73119\n35407 38532\n10188 34944\n10859 45009\n1364 25786\n8791 36022\n833 6944\n42255 77620\n68302 81801\n24746 61748\n12390 67007\n60038 91145\n17010 52246\n28409 69349\n39372 53284\n57340 88937\n31313 92098\n23631 40306\n21170 52717\n82577 84471\n9954 18129\n15303 29656\n90757 98437\n55871 62926\n8383 72334\n4193 50288\n8473 29670\n9142 91586\n92014 92291\n35470 46463\n21723 42506\n13631 29870\n25974 95238\n65829 65970\n39571 56535\n55658 85786\n26935 91003\n74266 77990\n16844 86863\n25223 60743\n30925 98818\n44445 44470\n10183 46925\n24677 59074\n540 18561\n78804 94884\n35963 36231\n51915 95716\n39624 51986\n11896 12777\n7052 25394\n26209 49535\n25336 56340\n10039 79073\n13004 99694\n52270 82416\n21694 83285\n3401 45293\n77287 92284\n53504 67352\n33825 36520\n9029 86989\n22642 60013\n22950 48979\n57110 72170\n73482 73733\n56854 58978\n820 58804\n21223 24381\n58008 63021\n57028 87033\n44234 54067\n30096 85575\n42660 98965\n73307 82287\n25325 50414\n27822 53520\n69148 87072\n4368 65214\n11611 40604\n10560 26561\n5901 59731\n38289 77617\n3423 20078\n4318 85695\n51904 72328\n15131 83914\n28885 80614\n80879 95583\n33185 33201\n11812 74341\n41511 64860\n33195 37626\n22924 33011\n34766 37075\n13523 15733\n39208 98140\n9270 63434\n23059 76049\n9541 12566\n70722 94431\n42170 82927\n16322 94395\n45464 53031\n3559 11222\n31202 74354\n37606 39486\n29632 69436\n27831 92501\n64355 69980\n15830 22141\n42027 55659\n18719 57921\n17501 72625\n35443 44063\n50370 97479\n21803 90652\n34714 85714\n47397 94594\n42600 76498\n6723 89059\n10886 62624\n58970 62899\n5046 44997\n29559 57244\n47261 88659\n33376 66055\n34334 90116\n17627 72330\n1545 45184\n11333 42015\n49229 55096\n35137 89488\n18872 52432\n29336 44956\n26471 59254\n38140 67020\n41840 79874\n14913 63800\n34023 57977\n59585 90607\n15421 86057\n10367 25139\n22678 33244\n5370 97326\n54499 79406\n15147 75720\n32125 78019\n79278 81780\n44379 79596\n3823 41608\n13656 20706\n50389 75712\n26498 47359\n53067 96963\n12783 43947\n52005 99728\n46362 65786\n34967 38536\n56600 56851\n39787 42552\n15286 94391\n28273 74191\n19320 31415\n4325 94004\n93258 99453\n15577 95165\n10138 44608\n17532 81275\n9444 93034\n13392 70814\n81005 89595\n24522 32526\n43316 82990\n48739 58144\n1470 34141\n44821 94381\n46976 47159\n2536 20101\n60811 85582\n2751 10847\n10425 70728\n15382 77238\n20828 38846\n",
        "output": "350\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 101,
        "task_id": 541,
        "test_case_id": 34,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 100000\n65685 79664\n48772 63387\n65341 71703\n50457 93012\n29003 29777\n31312 96301\n50913 89517\n33608 52742\n50592 82037\n25459 35970\n26674 80932\n43864 49628\n76799 82243\n12953 67920\n6055 94957\n78161 87111\n84580 89980\n46817 76356\n64388 95050\n37844 53925\n40567 53543\n50006 61151\n22949 28101\n7150 46645\n50073 57697\n762 33913\n4590 75605\n14403 33180\n6922 93043\n41577 84367\n45967 60199\n31786 72980\n14150 65922\n23959 60922\n90737 99849\n42417 98491\n69491 88010\n25403 26123\n18673 51788\n33735 55163\n30010 74118\n39677 48372\n47162 64461\n6783 10894\n5387 76829\n26731 77254\n28062 50311\n45174 86638\n8473 94955\n53506 65193\n37693 51484\n51208 82450\n87594 91089\n39707 89069\n3176 69740\n50272 86685\n32765 68167\n94754 95475\n83152 92539\n41944 97430\n56825 63616\n57065 98608\n20153 48946\n44427 79304\n90887 99298\n58943 67775\n49123 58468\n25000 50677\n8365 18377\n55867 97105\n6959 85045\n2246 91348\n8616 83798\n843 90900\n20322 29439\n23799 32699\n9817 95085\n55350 66498\n21254 80958\n80559 85452\n51346 99172\n16731 76949\n29831 86103\n31688 75737\n21485 62394\n11348 47898\n36685 68400\n43929 59712\n72454 88526\n34392 48420\n47359 96420\n7033 57667\n43307 43888\n12213 25120\n49985 67640\n66821 91966\n35055 86361\n14227 29241\n90580 97968\n35063 52126\n17721 69264\n27711 36938\n31499 32850\n91194 98789\n168 54825\n40637 90871\n40685 85838\n42597 46879\n4149 48676\n1889 3559\n15554 94416\n49869 69609\n28642 63803\n13650 98568\n32855 36442\n7016 70562\n39333 85102\n2832 34519\n64933 84433\n7399 92946\n5904 28508\n37835 56407\n42024 81635\n18742 75868\n11407 69589\n64728 82442\n9000 44641\n31744 81329\n13375 36736\n44901 51184\n14452 41963\n17697 46241\n37173 43651\n68911 93347\n47822 98884\n11556 75911\n3987 28379\n3987 71350\n6462 30379\n70887 94647\n56014 95829\n48450 90083\n54580 98353\n34070 53640\n12756 17444\n21296 86481\n71604 99760\n51270 99027\n79265 98899\n18775 82611\n12742 55246\n92213 96962\n31888 40165\n51600 96418\n21879 95356\n36394 55373\n56112 72449\n12305 76575\n38228 48659\n41780 92486\n70046 98819\n52660 59294\n22484 58334\n46837 98402\n33487 96783\n27613 42089\n48265 51337\n45549 98097\n66 23918\n36110 99968\n3898 46752\n48945 74989\n7867 86091\n23046 93356\n18573 76350\n22101 81663\n38903 54713\n17237 37812\n16196 57341\n58994 84852\n5397 53861\n919 78413\n32332 99096\n50058 95766\n13944 79452\n20096 38886\n6648 89295\n1609 98050\n46442 94806\n20486 41809\n29586 59956\n49465 72172\n36315 46726\n23417 85110\n26084 47092\n57640 99075\n26803 93401\n78539 90672\n2010 76912\n90413 97120\n45176 95323\n56056 76357\n16969 41756\n46520 50248\n52971 56097\n1149 28889\n45713 73399\n32104 87062\n44417 85168\n47995 49017\n23744 87771\n4895 20592\n68384 68797\n4973 54758\n81666 93409\n7249 85970\n8699 53085\n61270 99216\n10911 40695\n10118 66658\n10157 22346\n34437 60211\n62903 98557\n20277 36593\n5173 25967\n32605 32789\n31100 61242\n80239 93418\n36295 53118\n13040 69034\n34272 56092\n1999 72091\n5463 96179\n25830 91071\n14372 61286\n4714 77405\n3006 74882\n93562 94347\n9436 62588\n70299 75603\n69861 85193\n51122 83387\n6382 46980\n44853 46867\n36713 38999\n33353 93661\n17774 73386\n1775 3280\n29873 53626\n9288 62866\n15993 92406\n15360 27260\n8912 40853\n16368 58980\n28382 63797\n44578 60580\n35718 36272\n3020 42393\n3078 92839\n19692 75228\n43009 76964\n32181 74857\n71126 97783\n50271 69671\n33510 35999\n39837 45480\n72885 75896\n9629 94743\n60689 75834\n96890 99719\n21566 26259\n2922 23253\n31735 65758\n5669 49424\n12305 86205\n34491 93447\n59060 89210\n16357 67725\n41552 49092\n33968 59250\n7466 24342\n33997 35706\n59436 81100\n2961 56459\n18075 89846\n36310 79500\n886 5033\n27353 65218\n40367 79134\n16130 43390\n8042 28716\n50525 94901\n20780 86348\n13123 44335\n60763 76997\n63540 80943\n63003 72673\n4485 86526\n15162 99052\n80822 88196\n60407 88526\n91475 91596\n41891 97448\n4928 99894\n81352 96137\n6950 50607\n73701 89577\n82822 87254\n11465 70263\n3483 39199\n8454 15406\n54265 58567\n37853 59747\n15409 22630\n13689 42620\n77906 84988\n8767 80551\n1543 89442\n48802 80956\n41327 72461\n2706 11082\n8458 57531\n28742 37876\n12806 62857\n19292 68331\n15066 18620\n16427 71111\n38773 73420\n80226 99836\n17382 64613\n60653 86077\n34014 45470\n47211 69375\n23663 67019\n29077 39126\n60088 94538\n20620 39556\n44453 72756\n20700 37044\n26113 70805\n27301 71784\n2124 59575\n72693 85142\n13915 86925\n32938 35392\n15884 44850\n40967 50262\n34783 95631\n30252 46256\n11134 32814\n23073 47328\n4875 43036\n62684 92388\n67399 92401\n1475 34115\n66352 84754\n57313 66836\n20681 54737\n71041 92165\n7913 73202\n3422 9061\n42584 50720\n59660 81912\n19604 98397\n33217 51687\n24098 68858\n11242 23808\n2573 5159\n27741 90510\n11186 29136\n37524 90418\n50389 72660\n2029 47894\n50988 88105\n74405 93435\n69003 90975\n81709 89233\n29903 55173\n50591 71414\n89865 98063\n38542 62847\n29489 58426\n2773 62892\n39707 48972\n43376 51016\n20765 81764\n10482 15740\n55905 84506\n6141 12283\n21806 72940\n39457 67154\n37983 42849\n1099 91023\n30883 38141\n19097 78310\n47015 78633\n51743 87637\n674 71081\n75347 86851\n5477 92118\n13640 34826\n58066 80165\n35239 77431\n41513 48770\n10321 24497\n63585 89876\n49308 56416\n22582 88171\n37288 82507\n4951 37660\n2403 48468\n33177 65840\n73573 98464\n8060 79768\n8484 98150\n68384 90805\n81480 84358\n8354 61586\n24206 59776\n33419 86359\n71135 73768\n24517 39332\n58668 82382\n18621 66563\n1024 55684\n29650 51093\n73659 96645\n12854 27008\n76022 84043\n21843 47911\n33025 73230\n21475 62568\n4267 69141\n79058 84624\n18263 70192\n48776 64701\n10053 74654\n14748 47012\n14642 36863\n31723 76131\n1207 99322\n35987 97523\n35884 88137\n807 83651\n52831 90557\n15647 38340\n27909 92598\n28114 71844\n11659 70463\n77015 99030\n21549 60770\n37891 64125\n9697 10141\n20028 47838\n21929 85733\n38620 41136\n50544 57942\n50776 64072\n89215 93716\n60118 78534\n34890 78801\n15023 19511\n33002 93452\n8970 78501\n41821 65457\n10462 35728\n23061 76283\n33643 93322\n17516 47774\n80614 83665\n1250 9738\n3028 4749\n1551 10243\n34114 86404\n22269 84218\n76754 87485\n49405 83925\n17153 31160\n26579 38613\n18426 51277\n3196 39106\n19455 20925\n12515 25273\n1116 90335\n39791 75871\n32586 58218\n25071 25980\n10213 21593\n28840 96405\n22291 27907\n84018 86530\n26773 58884\n43321 66191\n47711 59085\n73737 74641\n29423 42002\n12136 30752\n13989 55752\n21544 35988\n21426 71951\n65182 93560\n49126 99657\n66376 77672\n60939 84473\n7567 62226\n46050 97273\n6716 58417\n52905 83263\n37 74018\n40226 76976\n56734 82768\n90795 91309\n78796 82774\n14078 56213\n30210 34506\n28910 88355\n61323 67601\n58368 79883\n20320 40495\n34927 62519\n35621 84533\n49455 70678\n3427 94949\n67597 73585\n69983 79869\n30468 99933\n55004 76859\n80253 93896\n4653 30613\n45137 48977\n18125 51435\n6073 50605\n47629 51367\n19474 42690\n64854 96248\n39147 51219\n66289 67012\n4930 82913\n9297 39831\n85096 97718\n50342 93898\n5844 33622\n35551 84946\n61883 62747\n6961 12804\n58752 85088\n70553 97202\n55874 90730\n43047 96825\n868 96283\n38688 68684\n42707 65978\n81750 85484\n15052 60979\n3894 95369\n29617 66102\n12620 81293\n1378 27188\n2837 61177\n57426 75294\n3621 72990\n10343 85480\n26789 76167\n14605 80271\n7785 23809\n7982 56768\n52097 52290\n30273 61801\n62827 85836\n48959 80693\n9026 19585\n568 56982\n62769 81379\n9789 17444\n32795 86676\n30256 41181\n27830 86033\n32293 69399\n11542 86408\n52192 92465\n55867 93926\n15237 94300\n6386 52551\n38544 88657\n19447 85874\n16128 77406\n1816 2814\n1637 73974\n57882 65725\n13274 83979\n68984 96929\n10680 35547\n34028 43155\n67839 77116\n9677 73622\n55174 67845\n49165 87495\n53434 71642\n75203 81855\n10137 79399\n42061 86353\n16920 94224\n60118 77251\n57931 92513\n65592 68606\n47113 84250\n60601 66242\n36021 79258\n7277 45120\n22728 97599\n14839 30390\n15844 37451\n21583 27233\n51346 59521\n66922 68000\n6617 92290\n32012 73985\n6030 87209\n13873 33197\n16705 22212\n69107 82137\n74487 98935\n73829 92376\n8985 45237\n15728 72656\n29231 31661\n37222 74538\n56979 66557\n68471 79624\n70143 86820\n48777 68008\n169 8249\n4401 12318\n21408 39366\n19460 85012\n64703 77276\n74395 85277\n77020 79852\n19700 95073\n43021 95921\n3568 65663\n55981 70160\n23557 72783\n41917 91162\n17751 40431\n11671 47015\n52050 62341\n24394 62898\n39325 73902\n54464 85574\n4320 98823\n38310 82821\n10651 55385\n38873 92877\n59549 64449\n36699 40255\n53122 72754\n88051 91893\n42952 43458\n32779 76390\n28958 74233\n20211 78441\n45797 76887\n6862 54159\n36 38645\n27280 88239\n48979 94780\n55901 66716\n24293 75007\n14857 91814\n25495 63460\n24570 39648\n5981 65139\n39200 76863\n13539 98631\n83747 98860\n56724 62129\n11202 99833\n19476 93868\n33909 67693\n30201 47108\n28146 91344\n15842 77872\n36415 46400\n83828 99842\n31976 73153\n14915 33206\n45054 54415\n19722 60792\n4784 96514\n46217 66399\n66965 81104\n37776 38814\n15193 23679\n19102 55543\n10078 91036\n83919 88922\n7457 56716\n10755 56890\n19064 89660\n22946 68317\n71469 88381\n57659 99790\n77312 97747\n16680 67245\n57246 63232\n67908 88197\n92052 92627\n71732 73904\n28856 57699\n38409 80657\n2666 25619\n59148 71910\n930 17987\n36745 45938\n30748 99001\n30903 63090\n59587 84590\n47911 52179\n59639 80954\n32264 79374\n10223 96117\n49657 79913\n15163 85266\n68138 79394\n12038 96209\n10913 34190\n13513 88062\n2607 98066\n26873 34718\n18618 76283\n13814 81493\n17654 80807\n27791 61939\n13083 26233\n42642 82506\n63368 90700\n1901 14878\n42907 45378\n681 49001\n24227 50426\n34784 55391\n66592 98786\n7874 71270\n13146 96898\n42147 92045\n51322 77588\n79457 98238\n16767 88431\n60873 77855\n20049 27993\n27219 68992\n39540 59876\n18135 85999\n8073 33983\n22246 67194\n29180 98306\n63961 65637\n54727 75928\n12933 40829\n14384 48891\n15701 95200\n2015 91023\n12867 67335\n23809 88572\n16951 47614\n10544 76815\n16512 92027\n7120 47161\n30970 53347\n26832 89014\n64128 86233\n78746 92905\n12865 95717\n802 93550\n8389 77391\n24981 53677\n2665 72215\n32411 82918\n41775 57676\n34752 65317\n24845 62617\n14220 73267\n23538 60162\n44818 64985\n43704 98716\n18271 50011\n39794 64662\n3800 65246\n6791 16463\n61435 69252\n11297 20424\n36943 38023\n4607 68124\n20892 39858\n43663 64738\n30670 73057\n72650 74336\n80505 94120\n56912 77763\n22340 71472\n34350 85498\n78664 82519\n10495 95523\n36851 56219\n7037 81074\n28425 84006\n561 52045\n1363 20987\n23793 65857\n19268 57074\n474 55664\n92500 99418\n17860 37035\n26419 92658\n4542 78989\n31223 81118\n50624 85970\n20572 38943\n15693 30689\n45339 50804\n13794 47786\n38797 45629\n66199 68383\n65704 96436\n7573 30887\n19497 26202\n15679 60961\n30913 39436\n12193 80235\n49868 96729\n41902 92623\n49430 74155\n62144 71242\n19905 50812\n38969 88138\n37819 71401\n33464 88978\n83799 95641\n29399 78995\n86753 99732\n18611 22337\n13956 79703\n27722 69892\n74271 84385\n27900 56079\n79193 84611\n16839 81237\n15620 44383\n62330 67302\n6339 13854\n1393 38009\n82807 96744\n65001 88161\n22420 50624\n30390 80686\n20444 23595\n12302 74945\n36992 54932\n22308 35130\n8423 10992\n47110 87564\n10442 98921\n31764 60602\n32675 63474\n41797 90831\n7533 18822\n19613 92915\n8698 31155\n43249 74938\n51475 92679\n79648 90006\n50592 72585\n67904 79730\n34239 89377\n29469 47029\n12386 31858\n55113 72455\n29659 86653\n10859 75016\n17218 48386\n72807 99042\n72754 84754\n67564 99030\n55254 89794\n37809 70907\n32766 46556\n56492 90877\n20104 53263\n1492 44897\n3730 8462\n55777 85641\n16472 95985\n24967 92312\n44802 49568\n35362 62688\n28380 39235\n73615 99251\n28190 78248\n72293 95340\n51096 96512\n19592 54435\n12132 39586\n22614 53935\n23693 81125\n27331 52452\n24335 59877\n55587 96098\n17128 19507\n27123 72235\n33796 66562\n312 12055\n2840 46619\n27531 83242\n19501 70760\n50221 69549\n65615 80029\n6379 42887\n11463 97196\n66096 87922\n46847 66983\n68109 76830\n56580 64680\n47878 83252\n34717 81879\n31281 77950\n23153 50902\n42232 61274\n17361 40802\n23363 81221\n2952 71796\n29273 78359\n74722 82067\n8453 25476\n65396 73427\n46985 94610\n69517 87076\n15781 78361\n77335 83859\n51485 92848\n50208 52961\n47790 53211\n25835 34140\n70276 89869\n54799 88522\n19100 71093\n49093 68969\n17255 27992\n41980 92188\n75906 99370\n28475 36475\n44799 91201\n19984 79709\n24927 66385\n27418 46873\n29590 36727\n4454 63870\n26303 27900\n61102 72568\n34746 88556\n14840 21649\n16292 52619\n31722 64219\n70011 72452\n34205 94219\n18475 83179\n19258 47150\n6724 83312\n12997 70012\n37288 42089\n52980 84248\n48516 54000\n30690 72350\n17568 96717\n27748 72624\n46238 63073\n32579 76952\n43215 57353\n45864 74816\n44638 69461\n29858 49949\n629 79737\n80062 86846\n28779 77918\n21723 63227\n30828 93290\n50626 89119\n64938 97329\n21147 80228\n14915 65133\n207 31105\n40975 41969\n75444 81511\n53075 84060\n57977 80845\n17117 47140\n3159 63683\n10679 91939\n52559 57071\n2534 19933\n59628 80169\n10535 96612\n25553 78358\n32037 44894\n3667 22161\n47578 61056\n19155 90147\n57878 63508\n17518 93056\n38552 82199\n33129 98610\n5467 70066\n59657 82335\n21987 95159\n80134 90239\n385 36987\n34612 91651\n49171 73855\n20381 83218\n48172 49054\n20367 69614\n11133 89772\n24364 63771\n13937 27739\n8551 69619\n37322 81470\n3279 8764\n3520 61744\n72698 90288\n55394 94612\n22508 67545\n47099 53160\n79737 85583\n30107 44140\n35238 95927\n63503 89141\n46818 75504\n37873 94888\n30751 52514\n22621 83061\n33137 52748\n63955 97443\n52355 66662\n146 99127\n28912 97757\n60546 95482\n23942 65931\n8299 34560\n47970 51117\n28516 51245\n47577 95555\n21038 38328\n2406 4063\n10416 90465\n53758 79352\n8054 96067\n4335 38491\n3080 61040\n29269 32955\n72178 74529\n73892 87950\n26917 62301\n3155 24698\n87744 91508\n8769 76193\n39029 63808\n25150 94303\n20557 38070\n59850 95128\n42776 52600\n11811 54715\n8853 39306\n31380 88517\n8466 65852\n34995 64498\n10287 92481\n59371 99090\n3391 41230\n20138 77962\n20972 92360\n29120 33001\n14115 34156\n6547 17851\n39480 51264\n35108 44926\n2077 29554\n56899 69765\n15124 69437\n10664 32605\n88415 89902\n52956 83115\n22893 85903\n6074 7335\n9407 29053\n24064 30967\n83203 86171\n42343 91541\n22034 55346\n50659 74633\n46548 66512\n8776 64430\n44284 97861\n52679 90746\n38095 79742\n23445 92999\n22320 28664\n29804 54217\n29888 83162\n54259 58932\n12715 56781\n59394 77405\n624 46657\n19569 40847\n46065 54434\n35868 55253\n42848 74437\n97766 98275\n73516 97495\n41421 46209\n46733 61781\n4962 29906\n46988 80543\n39171 88052\n51954 94454\n13284 33710\n59081 80132\n70591 87087\n13954 96674\n25533 26090\n47234 69620\n31641 50666\n67076 98949\n38733 52088\n8564 24352\n46245 60318\n487 53908\n86127 94208\n44688 99373\n855 37119\n45700 50295\n6853 75934\n48731 86298\n39797 84503\n4614 7672\n12833 79673\n30077 80699\n66020 75469\n26578 83546\n3937 39054\n2042 25557\n28200 32063\n81531 87807\n45271 91814\n47445 74905\n20819 61489\n1223 42404\n8987 33052\n37649 75445\n57913 70538\n45956 82622\n33861 68384\n63768 76105\n53515 94586\n14154 29047\n10199 16811\n26553 76404\n84602 88498\n15566 40439\n25922 26149\n10214 11552\n63125 78730\n2284 87012\n13829 50882\n66315 96348\n39317 68395\n25679 37346\n8249 36806\n5004 79368\n56078 75733\n73102 99182\n11123 95984\n76617 80691\n5122 90567\n9772 36987\n50613 79758\n64095 68989\n14354 43182\n31718 60563\n38011 92698\n66239 77915\n26315 70914\n79983 96165\n19634 22455\n30079 55104\n27234 43724\n87280 93957\n55696 57460\n64373 72347\n27919 43991\n49333 80581\n15342 59846\n49613 74206\n36421 50066\n74526 94724\n68117 87749\n64260 74674\n32065 57734\n53441 73807\n78127 99307\n50732 83271\n41397 44580\n15427 96790\n15823 27233\n9129 78488\n54274 60841\n58103 65573\n5214 82569\n16719 61665\n77607 90495\n22436 92661\n9585 55450\n68439 76907\n21292 72337\n46761 78697\n21852 85424\n36321 81762\n21471 88402\n88211 94456\n27581 94557\n40923 51079\n19323 73779\n13734 61497\n5817 19347\n3091 18033\n67161 89586\n42926 49989\n80559 89716\n45431 70889\n63232 73840\n40713 76645\n35845 47119\n15799 28400\n44420 92417\n36170 80680\n17894 28319\n4331 45495\n62244 93785\n10986 97152\n23747 50373\n16311 28461\n26549 36749\n13625 78901\n36605 42103\n92027 94161\n64570 91506\n19991 66755\n24385 61038\n40979 56949\n4713 39418\n3729 72989\n7056 13040\n43959 46307\n33107 84992\n79334 79653\n4336 57800\n3884 47683\n26651 56358\n42676 43798\n8618 82846\n40111 88228\n72849 75414\n18645 92907\n69602 70529\n39628 72958\n79965 88111\n8555 74309\n21377 56910\n21702 41106\n15536 68648\n41004 72956\n16965 26444\n50196 85099\n7879 82284\n87954 92062\n8477 56173\n44621 57879\n44745 76227\n14583 94759\n616 96668\n23997 70855\n3027 6213\n11705 34038\n26619 41198\n48239 69218\n2657 22029\n62548 83234\n50572 73454\n29883 98165\n675 18992\n37367 46433\n57158 70165\n12375 18991\n69062 81775\n12015 37752\n10476 97448\n10500 29577\n26690 36223\n48913 49659\n22137 50788\n62353 72621\n13199 41541\n49546 73511\n46034 97434\n40660 71998\n66318 89826\n25425 71696\n45749 47902\n89444 92625\n5702 14576\n51893 66718\n23198 60606\n9721 96517\n9631 44584\n38019 52857\n14599 50747\n6912 19888\n13406 31579\n12922 15942\n29564 68109\n39847 46433\n7873 65056\n95220 99300\n35461 72845\n4003 65606\n4046 65952\n43392 71584\n60829 89356\n2163 92750\n44460 74358\n29375 55153\n40055 78996\n16898 24551\n31760 39650\n56484 90085\n46037 71205\n42667 60025\n47272 92034\n28024 42415\n33363 49714\n57672 96193\n19041 89273\n28111 91524\n29346 59027\n65807 98850\n76191 82760\n9990 12788\n33121 50370\n44699 92520\n2988 65858\n12931 15844\n75679 93088\n17165 29208\n9948 56562\n22059 72187\n10738 46487\n4332 73830\n50311 77269\n47772 69139\n19865 90059\n38680 66496\n72461 90450\n64700 94773\n38552 97292\n42409 50687\n15909 49349\n2630 90991\n14482 63726\n42553 92017\n4 81744\n28397 47180\n70327 72074\n28764 62651\n4940 13922\n66635 85228\n59334 73755\n72888 99006\n22231 30726\n50709 57189\n51348 57574\n50649 96479\n52327 72367\n76420 92335\n7104 11368\n21824 37547\n66672 87011\n4386 46791\n44020 72092\n66132 78860\n28848 36292\n11897 40728\n22616 59794\n20528 95274\n61909 99799\n72721 80972\n9367 76382\n5382 79833\n1823 38323\n40648 43081\n20265 72636\n67249 84741\n70235 74978\n16283 61271\n78298 83447\n53526 70725\n50061 58979\n44983 69058\n10876 26247\n9152 19847\n69151 86612\n15527 26593\n32782 89206\n14204 60838\n36336 55284\n51244 58033\n18860 91740\n40797 71366\n75217 84407\n12960 41006\n39278 70372\n10431 81694\n7355 95127\n60752 95083\n26529 32582\n8280 82926\n28518 78793\n31179 75342\n23957 61701\n70097 85916\n14685 85481\n36054 66486\n971 99550\n44955 62531\n46167 53479\n6786 50538\n13648 90939\n37526 42828\n75355 93724\n29746 96431\n63613 66125\n6508 25376\n72246 75464\n20501 87337\n85971 90402\n78173 80091\n60989 64816\n9642 73747\n64070 75777\n15444 52223\n1630 23562\n2264 71775\n45330 87971\n22638 81289\n8269 90705\n24850 78973\n64768 72351\n26951 75280\n38751 76403\n19233 73864\n19626 51505\n11781 82697\n34977 36542\n51745 99496\n21799 38895\n68712 84345\n28536 32947\n44785 69660\n30134 40236\n1063 80714\n18554 64324\n58189 58957\n70482 92794\n7840 84701\n86949 90776\n8631 69162\n41248 94091\n40684 80928\n37231 87998\n36318 98832\n82503 95748\n55408 59044\n416 28513\n20773 94549\n46932 77964\n7145 45695\n24066 56797\n6918 65016\n4987 98967\n16363 83515\n17919 23480\n27869 36413\n16627 43314\n20101 97553\n12376 73050\n51217 52413\n68128 82670\n33358 86809\n58893 96230\n17433 68878\n14159 84241\n51607 96405\n31654 64460\n2176 94763\n30117 65702\n11365 78393\n46496 51737\n95981 98595\n45613 94289\n66035 77504\n46059 68350\n2991 48212\n20359 20391\n24143 67539\n72441 80739\n52575 63503\n62182 89802\n51041 74627\n73748 98114\n59145 86896\n41100 97521\n38386 69095\n78791 78998\n61805 94885\n51087 78234\n9522 73805\n32260 65855\n28160 40670\n21064 77379\n59624 63136\n66267 78225\n718 72649\n23624 73784\n15219 72213\n37305 44065\n40964 68316\n49763 88615\n42133 85821\n3575 70320\n8102 39038\n16776 87154\n16080 83336\n86023 99926\n47216 75575\n5897 39086\n11089 71676\n6503 66311\n22474 98189\n7796 68106\n22393 71496\n55005 85378\n44116 54244\n17494 65813\n50742 75869\n258 75411\n755 61289\n71514 83026\n24411 93724\n81673 88959\n6899 93797\n71614 81894\n9696 82602\n86912 88146\n60589 65730\n7780 92511\n16026 65488\n38692 69257\n14742 86429\n7573 86642\n53856 70967\n28931 88621\n20634 51793\n41692 71206\n33678 73838\n12739 72413\n10782 52922\n15436 25694\n37285 97136\n32567 48078\n7756 96188\n64187 67604\n8055 41074\n23719 99085\n87990 93797\n51873 65740\n10767 16989\n87685 91197\n4497 38641\n10837 45553\n21098 99764\n22141 66465\n44299 48741\n6528 8188\n13556 64524\n81921 87332\n57297 83489\n20059 30778\n33551 77714\n44880 53894\n24687 98510\n91420 92184\n26050 69255\n7318 25619\n48160 61795\n19889 22816\n29416 42501\n14896 99534\n82677 99743\n14502 84369\n7225 46778\n2313 25547\n8500 35915\n50397 78385\n30640 65718\n15760 46132\n22549 46118\n28185 28732\n77287 87989\n74723 82574\n4373 98824\n24637 56201\n45025 95242\n27676 74770\n21393 38526\n34732 41620\n51567 58174\n11483 69342\n22272 23811\n15487 88340\n11006 82696\n55810 94733\n41 45196\n68208 99006\n53628 79460\n23650 44348\n8001 23251\n25336 25697\n24410 54322\n48595 83754\n58378 92446\n8072 68995\n38188 78390\n22487 72048\n2431 33803\n28919 72157\n17754 61449\n52903 54902\n38455 85203\n66921 82558\n13892 55818\n24067 98437\n39010 71591\n31841 75224\n156 38463\n9087 24472\n25038 57901\n29567 99643\n33211 59788\n68255 95883\n54531 61004\n8322 10064\n35510 86950\n17171 38712\n14921 54288\n50584 84762\n89217 95635\n26953 40311\n39145 52195\n508 38982\n24745 45187\n18217 74498\n204 9036\n54974 98695\n33795 48714\n80745 82088\n89968 98977\n41076 41159\n29657 64393\n22292 61681\n20149 73142\n1264 11136\n34647 46194\n16228 27845\n27334 32698\n54947 78907\n39765 72981\n71160 87747\n71268 85526\n59268 95501\n60914 95714\n6009 91179\n18420 41339\n59745 89578\n42154 81404\n3989 74954\n31009 97182\n19286 43277\n21098 95766\n40952 79433\n40399 97062\n35658 67412\n51277 60998\n18467 85932\n17255 24804\n33762 74615\n70340 85087\n61701 71230\n65996 85915\n55970 93327\n79468 81880\n26462 94570\n3327 46823\n36323 67684\n897 23878\n13831 34013\n45461 60023\n16011 39987\n12484 53446\n15752 84363\n40554 90929\n30011 36552\n38013 63018\n7997 28554\n775 17513\n20170 96678\n1014 22797\n27123 58923\n52548 67988\n26703 27524\n64558 77210\n29408 36936\n1660 65585\n8695 74895\n25098 74771\n37688 72040\n6509 33891\n82907 96107\n36901 45592\n14920 59893\n55487 68997\n65535 91345\n1120 7845\n21419 59399\n8306 68609\n52533 60915\n81412 95738\n57776 96896\n15559 31007\n4391 73191\n28260 67148\n16681 96533\n6513 78173\n52976 83080\n1329 50776\n62969 73362\n47770 66830\n20835 91020\n59860 75577\n15922 53996\n17745 21822\n10620 89437\n1465 77429\n2326 30770\n65951 91549\n9048 27595\n1923 36512\n36670 99510\n51534 95627\n23125 61198\n16982 66687\n83977 90353\n74550 86973\n50124 58854\n55980 64580\n2243 68609\n10371 15424\n23408 57449\n57670 97655\n38764 42503\n63149 81535\n9953 91624\n11578 73483\n14986 25278\n10393 56077\n12934 98235\n36606 36740\n41521 94170\n1066 81359\n23767 84763\n23367 88225\n9389 84379\n72999 93962\n71459 92662\n17423 48334\n57785 82176\n16330 49267\n45634 90620\n75638 78715\n69846 77704\n206 73289\n12000 67462\n55969 84454\n32805 39891\n13510 74501\n4868 82776\n46028 87278\n68662 77828\n7548 92750\n32110 67479\n52230 69926\n46708 81636\n13533 71150\n6073 28017\n36279 45030\n18055 36565\n46569 80662\n48991 92919\n51504 56764\n12926 27117\n14171 24115\n78203 95117\n1504 42070\n20280 92832\n51362 82524\n74960 82207\n81358 84289\n66688 93897\n57249 84835\n43736 55399\n800 3633\n6606 80608\n57109 81329\n58423 62608\n83625 91673\n17158 66673\n84622 84866\n26168 80875\n3894 62748\n17553 31600\n53723 69129\n614 5371\n19798 22400\n11357 49058\n42179 52541\n77940 94917\n12323 22030\n5868 61749\n18573 76685\n68381 88941\n36241 91153\n78430 88892\n46899 64935\n49542 84472\n53242 97852\n71904 93466\n15036 56580\n74475 94196\n30749 54372\n29462 48032\n9391 60542\n27800 64263\n82321 86677\n33881 97690\n5248 91714\n62400 87169\n10680 71023\n49473 53293\n68343 84834\n30442 31888\n53195 68702\n25243 81146\n86584 96967\n16542 22616\n5936 72683\n14173 79431\n20209 55512\n24798 88995\n10199 72388\n18676 25888\n16947 68630\n52511 99087\n13098 59537\n47390 96564\n8460 56773\n52365 67451\n13497 15135\n35094 89003\n14320 59978\n86588 90842\n1958 86397\n67848 93862\n42502 62047\n34103 60021\n6822 58887\n59266 70880\n53792 59049\n15185 53093\n48319 60383\n9679 96518\n68354 97553\n85313 99208\n54306 59940\n23951 41870\n7495 38512\n85276 85509\n70469 80027\n34344 42378\n16417 97261\n76746 87741\n22993 74050\n87944 92856\n915 24298\n36565 50227\n33029 49876\n34511 73260\n27745 54793\n8247 51887\n90726 98441\n14649 52354\n27319 48539\n27528 80897\n4288 15121\n21141 58886\n6979 36939\n44119 49441\n3917 34000\n20817 61225\n48560 67323\n59421 81700\n15051 74917\n26179 27634\n11741 98701\n61819 97831\n88789 96522\n2365 20875\n24549 91852\n32828 35731\n71314 91493\n12110 36632\n313 96268\n20714 52872\n15097 73512\n100 18433\n70469 88798\n33743 58109\n65646 77866\n4692 85048\n15781 68554\n2182 29750\n62023 84737\n53476 89563\n62006 64565\n43249 43950\n12500 58246\n2328 33839\n1028 74583\n9950 61735\n15433 18600\n30801 48662\n48539 92639\n63937 76046\n18148 71532\n20790 86733\n3446 59470\n58907 73130\n3631 19891\n68020 68177\n58187 96285\n36569 86310\n57873 91195\n14380 30366\n26103 94594\n85253 98463\n79604 93377\n14936 26629\n5738 17473\n26521 56977\n11153 97016\n25156 99923\n34523 49491\n32734 84503\n38594 68162\n35661 54513\n3704 20353\n9550 49366\n16161 34869\n16815 58773\n22677 46952\n23295 84448\n48065 55677\n27076 37738\n2871 84728\n34719 86003\n21808 38442\n31942 85755\n78988 89428\n29699 70655\n22990 82320\n3320 32486\n3374 34797\n11406 81527\n24952 40828\n26666 26707\n20431 68097\n4257 26592\n50070 95359\n63869 73565\n6495 24486\n69143 93643\n43490 62160\n1202 70309\n9651 99910\n32387 86246\n28058 86221\n52088 65827\n65269 95839\n40200 67870\n15140 59319\n748 3966\n310 14668\n15051 93678\n13602 39288\n73004 89774\n77103 82489\n46377 80897\n3348 43941\n83514 95790\n23237 66992\n8927 30804\n1494 43939\n36161 37755\n25552 32219\n40852 84963\n28504 82216\n36996 82251\n80020 87703\n78453 82232\n54195 83715\n13356 32501\n26876 63794\n7382 78090\n36549 37935\n72004 72264\n6314 44521\n16853 67592\n23544 85608\n55604 93058\n8666 29938\n1815 29441\n15495 61943\n46317 58899\n26640 75575\n21979 36303\n57853 84327\n28112 61004\n67917 98635\n31162 88195\n18553 69056\n36211 66403\n71578 74023\n61840 88015\n18272 66426\n26009 60444\n32272 94129\n53044 57387\n7302 50744\n30875 35551\n42910 63998\n79429 91489\n61955 80812\n4342 98147\n47147 79469\n22724 64133\n20448 95062\n10090 89142\n14186 19741\n40008 69579\n10335 38140\n65803 73876\n19305 37220\n17424 46910\n9958 24301\n15287 51990\n17705 23445\n37163 45110\n52459 87099\n21545 69883\n14496 57673\n21681 93532\n42012 92911\n44710 72476\n72652 73799\n18781 93342\n19754 97866\n55530 63321\n29560 58642\n54150 73722\n10489 38148\n17104 50999\n5960 31422\n32998 48947\n44826 76376\n67825 85373\n12700 26846\n28932 30985\n34827 45382\n19450 20369\n53306 74936\n88254 97073\n16752 73207\n19993 43238\n91597 95638\n22825 68938\n11919 61414\n6634 54532\n8420 32751\n44639 54029\n8162 87507\n45142 80976\n5861 59591\n81149 88215\n11238 81117\n16080 43063\n49459 86938\n36189 81703\n68251 74261\n41976 72057\n43746 76337\n15835 99854\n30072 90409\n31105 60558\n77500 86508\n24270 62019\n11791 16138\n49554 89186\n25778 62597\n4111 46368\n4323 45669\n4478 62427\n8059 22921\n11511 62611\n32970 41543\n55311 97947\n11587 64731\n20996 23199\n86437 86626\n58969 81037\n36690 77041\n8329 45137\n21597 63937\n61843 72256\n1306 14529\n28928 65778\n48405 60677\n9347 50679\n6077 26948\n13457 77606\n35248 48735\n37106 79133\n3918 35511\n40747 68013\n25227 29700\n10652 30662\n49614 53844\n5050 17707\n39039 54463\n17832 35441\n39638 74729\n49773 85760\n17179 71642\n33421 96621\n12533 28778\n30157 63056\n74110 85746\n4270 33181\n22160 80240\n22942 26126\n75677 89423\n19844 27782\n46583 84415\n33820 84739\n19181 20142\n93664 98544\n66469 89838\n14426 60285\n11665 23233\n36803 43503\n3588 51704\n80090 90324\n73667 77223\n38664 85842\n86333 88881\n80214 83876\n38852 92867\n58355 65370\n29442 70662\n13496 57156\n23973 51875\n26548 62731\n47139 83590\n7199 29838\n46289 91225\n4226 92423\n37898 44039\n38368 70370\n13503 17878\n44615 81017\n94605 99241\n53235 89970\n56348 94709\n34736 70926\n52793 62809\n85994 87150\n58834 59378\n31128 98834\n25903 56840\n1683 31765\n8049 29055\n53465 53533\n65249 98529\n57037 67641\n49190 97878\n64575 85339\n18158 37494\n2686 80534\n27455 97944\n18969 52597\n40324 65817\n43726 82009\n75323 99276\n26120 29126\n12803 67196\n1622 13796\n8398 48921\n88405 98994\n36640 78311\n61900 87544\n26342 47208\n49502 83184\n77810 89345\n32301 74077\n72612 96194\n46110 60835\n31712 89632\n21283 68425\n24650 27845\n20073 25144\n5074 78079\n29600 40137\n19696 69886\n51624 58738\n49752 71481\n24756 87097\n49718 62345\n45314 88024\n9604 65775\n36423 99151\n15999 49769\n70007 73049\n46617 49162\n2796 74712\n13460 35508\n23025 39168\n9376 74308\n11581 99331\n23632 33370\n47199 74184\n14798 54352\n44205 77936\n4110 43262\n19405 52688\n86240 91479\n41594 97252\n6778 14501\n62552 94358\n17863 54984\n9996 33339\n63563 99439\n28081 92838\n51714 72920\n12995 61281\n37232 73339\n23652 90600\n1554 35446\n24745 24867\n63866 96791\n85849 96679\n14861 99675\n5653 65854\n26680 34221\n25435 45708\n21686 55838\n18004 20261\n54433 82498\n13787 93407\n72394 99396\n74507 79297\n682 18932\n11702 78962\n3313 75893\n33977 89400\n32835 91998\n10816 72663\n13741 62476\n23306 50929\n7751 96142\n26735 28546\n47107 96781\n70167 97766\n41405 43567\n79263 99522\n41596 98165\n65105 99247\n20557 74629\n34972 77025\n65868 66767\n20941 56069\n25613 26480\n3434 6611\n55687 77841\n31280 99205\n2022 56264\n4041 94969\n6225 43172\n17410 98098\n30264 53261\n16892 87878\n65068 69762\n57165 99664\n42257 66908\n27327 88397\n1655 41371\n21746 57610\n29413 30175\n29274 43239\n39639 97988\n1976 57741\n1635 26392\n6227 54205\n7871 63454\n2831 78733\n15976 41082\n23387 27897\n28190 75411\n15178 26608\n38645 57224\n33744 48023\n5898 62910\n54076 97104\n20066 93636\n27707 68233\n11276 23394\n66323 81233\n16533 55598\n3969 18291\n24450 87920\n31351 94270\n6626 63402\n22674 57745\n5205 63979\n1908 9861\n151 15298\n12508 33867\n60081 89649\n1551 17626\n65905 73537\n1567 66377\n86694 96287\n11285 16990\n4218 37972\n76570 94891\n49818 57937\n26938 88835\n29855 39125\n33220 64265\n3579 57856\n14426 69557\n55050 77044\n64039 68638\n47652 60762\n4871 94470\n69980 89070\n14598 59443\n36046 85853\n29688 62856\n35878 82650\n58396 83246\n17514 67256\n1281 24512\n20907 55706\n52626 98163\n32194 49634\n44682 94506\n80100 95810\n10046 45601\n51247 68563\n56351 70824\n70559 80206\n71483 98805\n43754 54507\n36362 96470\n37556 61304\n6317 9604\n5058 51034\n37321 80236\n23576 31950\n62587 99715\n37822 63155\n4245 60425\n12170 71293\n27176 88232\n4988 78315\n6770 94644\n62173 68352\n73445 89786\n41018 80293\n52078 81165\n40742 76327\n35681 56353\n84648 97061\n86922 99671\n32343 89080\n8289 95706\n69082 93034\n18182 61518\n19723 49576\n8126 80270\n15183 17956\n52027 67758\n39614 49105\n58475 97352\n11494 91844\n9008 38775\n61969 76010\n57826 59743\n17640 90817\n41006 95453\n5362 69989\n34573 38868\n67027 96355\n15700 94226\n58813 86513\n13820 49248\n8616 23616\n7340 25355\n20392 63588\n24687 45238\n1285 97683\n55691 93691\n87523 99148\n37712 62735\n40097 99622\n47881 90670\n17794 37494\n12330 34177\n45882 60322\n10154 81019\n4911 80083\n13626 67443\n30260 71160\n1267 96745\n53224 90473\n19698 35278\n47532 81726\n76951 92907\n48105 71129\n30722 76779\n12186 54289\n52169 52944\n3130 85054\n25356 76292\n30237 64522\n21173 90841\n33574 48161\n17153 25590\n24703 90853\n51669 85050\n39119 40029\n64605 93553\n73781 93060\n12333 77111\n23615 62384\n7759 71220\n3126 46032\n32978 37870\n56009 90130\n9001 86187\n40579 94537\n514 39402\n25574 85751\n63106 93351\n3541 94335\n31708 34336\n55527 65807\n43012 52511\n86922 87711\n10627 58779\n36230 70699\n61174 75610\n30422 34483\n32940 42719\n14444 63538\n30390 43431\n8474 64779\n16086 60440\n68153 71829\n53325 79220\n38936 63677\n32017 58639\n4069 16495\n15970 21747\n17103 19982\n26074 96365\n62406 89172\n34798 71627\n37034 95675\n56005 63699\n26418 46207\n65290 95824\n81609 90121\n59979 63280\n10506 47527\n66274 70906\n38607 73527\n7880 86022\n39683 93805\n62801 99436\n8057 26530\n59428 89664\n39478 76294\n42726 64296\n77417 96529\n23059 70529\n16945 55288\n59795 65019\n15748 68000\n12274 53496\n24564 71856\n10483 92320\n3577 70130\n20932 27212\n34889 45078\n26955 77280\n22341 34895\n38473 47007\n12703 30753\n32400 87231\n75067 75266\n17443 66429\n10315 43700\n34616 69689\n22641 98922\n1468 64077\n75236 91428\n22075 40594\n38486 55232\n19400 36074\n48190 71998\n2170 9929\n33134 42679\n13947 33753\n43420 86505\n27525 93512\n39055 55786\n8514 24281\n21282 28998\n15325 26381\n22754 45401\n30763 69541\n9819 65753\n6401 94591\n67928 92777\n62792 82720\n47488 58355\n12068 72142\n18352 84568\n9560 72128\n3830 63959\n23932 82536\n47441 58305\n8421 39004\n21335 97289\n14995 97109\n77731 90150\n1418 71955\n23646 53316\n21402 39056\n3420 20364\n29664 58499\n27150 87002\n35475 37300\n16664 24074\n5968 36648\n6151 75621\n14793 89890\n1195 82991\n60141 77321\n1429 97542\n1356 60066\n35079 67462\n52202 78557\n2928 42697\n59993 82488\n41221 80485\n57706 68504\n4911 59299\n6722 66273\n38990 90103\n84961 85956\n11377 80428\n37092 63089\n37539 79288\n48646 60736\n14981 41931\n55651 82929\n12884 44385\n69903 86133\n60407 66015\n54442 72097\n6523 34303\n21499 58926\n91486 93650\n14975 23901\n24618 98517\n27699 78573\n51550 83994\n38408 46950\n26575 99111\n79819 98695\n73751 77382\n28081 34314\n37552 83787\n7368 86888\n42395 95228\n12330 23278\n13841 26148\n33068 38936\n4423 38157\n26406 89437\n8724 28081\n45993 74169\n29442 87932\n14308 60483\n47143 83180\n29407 73669\n17527 49863\n54552 77031\n24406 83029\n12092 17881\n12215 19079\n4681 33375\n12821 85727\n27711 45937\n81230 89781\n23840 55796\n50486 85846\n15276 25733\n75430 95576\n87858 96064\n33825 89189\n23361 34211\n10404 38572\n86806 97354\n75698 83856\n48108 93504\n35470 68077\n4780 91440\n34750 93915\n43604 83899\n34681 87604\n5602 64168\n84874 87486\n33712 95533\n23512 74496\n19162 66597\n26118 92635\n77962 89297\n851 41230\n69120 82750\n65702 92454\n40 78059\n34114 81696\n41502 63982\n90154 94065\n17866 88628\n29287 79833\n53592 59912\n466 83122\n16112 90196\n75016 92927\n27231 45117\n55172 89889\n30277 90049\n94903 96194\n62942 75222\n39221 56882\n65236 94491\n39311 89348\n28531 37512\n45457 91545\n70904 79340\n12595 43465\n53693 83199\n24285 89934\n36999 39652\n5466 66815\n69199 89765\n43364 94429\n26499 43941\n18043 18482\n54197 87652\n28476 92881\n38004 84138\n2493 29690\n34190 43751\n56048 59853\n6298 35505\n3522 6738\n6621 13682\n24678 40043\n15322 27135\n20026 95506\n20833 72042\n79552 82895\n33169 82669\n47992 75032\n28767 34718\n61064 85233\n49831 94571\n87329 98690\n493 65222\n5130 56022\n43402 45204\n35706 99492\n35221 61016\n39073 69964\n33539 68947\n54546 60666\n92520 99827\n865 91850\n6706 82914\n50345 71012\n70373 96713\n37347 83564\n22162 76033\n10433 90412\n1709 2668\n38036 69628\n25271 72195\n16902 18536\n7621 27137\n77456 86605\n59991 99567\n51136 80794\n61864 63685\n40351 55444\n28315 75551\n31229 69081\n22190 88371\n4027 92009\n44763 52200\n24388 47054\n3002 61708\n60272 69221\n70395 84381\n17219 85283\n14362 28564\n70452 83352\n14671 25929\n66297 89933\n20139 81488\n46275 93338\n71396 74692\n33080 53994\n28300 75092\n52356 63100\n14030 97613\n6543 26941\n48211 57426\n51650 55909\n27407 60294\n47061 49277\n38514 63587\n63050 67361\n9281 70249\n66835 71114\n21181 42355\n15371 40796\n29679 95278\n19173 41234\n20635 73696\n12173 43465\n7989 14142\n34035 75743\n47882 93621\n44668 68867\n22110 29287\n38394 75272\n27253 64006\n35096 93234\n6863 88531\n34268 98029\n39490 79758\n33092 33600\n14369 86405\n24070 82296\n14438 45705\n4418 20432\n8479 79055\n26187 95098\n10885 91310\n237 41352\n92161 98796\n5185 25992\n3967 39269\n17958 62459\n20042 44682\n64809 65824\n40763 64069\n63743 83078\n37365 39509\n65264 88776\n40087 93246\n17543 61405\n23848 64986\n12126 64845\n32106 54293\n81359 99759\n12113 57916\n24355 57153\n14717 52413\n46414 54879\n36900 91043\n7716 27626\n56620 71418\n56638 76337\n51260 96286\n34636 49194\n22873 68270\n30930 89199\n64519 85884\n68779 97376\n65141 97249\n5921 69510\n51899 91054\n10205 74845\n25946 58700\n58983 71103\n36775 99373\n75313 88325\n27057 72990\n11641 80743\n7713 64524\n4584 28573\n29741 61998\n1119 85088\n19886 86715\n28791 50405\n3767 74240\n15407 25102\n12796 68496\n38482 49640\n1659 74120\n412 57775\n51987 80386\n61280 86810\n52260 68407\n4955 55975\n42970 83634\n23986 61539\n8656 86528\n56194 66940\n85810 93885\n57501 96299\n48335 97495\n3797 86610\n8265 75540\n22651 53646\n22591 79706\n57396 79616\n1831 54960\n23252 97757\n38687 87023\n74456 99345\n45249 50479\n19367 53876\n9900 26230\n24555 83871\n2874 12612\n14619 68468\n4231 81058\n13511 87484\n67350 96511\n78022 80155\n72897 77197\n44729 80060\n37308 99106\n4480 67193\n40699 79919\n64489 99749\n10974 74982\n13337 64567\n53056 62564\n18043 22770\n44809 99291\n13370 97913\n31455 49876\n39347 57242\n24605 78985\n40196 79890\n16906 94242\n61238 89899\n31295 38769\n37864 49006\n59471 79443\n44104 58599\n52319 79900\n51961 65837\n32715 63846\n71154 83202\n58222 96018\n50833 97590\n71567 81035\n36411 63412\n73534 76692\n36705 60982\n62356 62876\n10973 42607\n60202 88669\n87336 99700\n26026 26559\n39011 43233\n15520 86145\n50781 80488\n39914 63458\n28602 61475\n17510 33403\n5410 92661\n17180 80875\n18502 85202\n51745 88982\n33929 37840\n53452 83217\n66312 90473\n26323 75300\n9387 96910\n35521 63899\n73875 77174\n86 31530\n7323 18082\n6575 25604\n31702 91821\n40594 87583\n75143 90892\n14589 43406\n2025 96387\n47873 53716\n24687 34499\n36021 93476\n9694 18235\n67195 76414\n4250 81461\n37724 68897\n391 57416\n22075 90784\n5213 32173\n83805 99697\n4320 88249\n8628 12793\n24435 63254\n49765 77828\n36392 87686\n37604 41709\n13270 36772\n2917 93737\n51985 95770\n21491 97872\n17332 49056\n4210 6004\n38523 56899\n45767 67050\n67121 67896\n295 24708\n2784 49885\n40034 49914\n37652 51383\n16523 46920\n14512 93856\n10312 95934\n32763 66467\n74371 76517\n36285 75093\n5029 94989\n55609 86338\n5594 43346\n21814 44067\n27288 81745\n45680 74501\n18780 42747\n21486 76717\n30587 93151\n45051 67586\n88939 98757\n31654 95848\n48794 74969\n38620 60204\n55324 56811\n3838 87033\n33255 76913\n12483 85407\n8469 85326\n9740 29823\n46908 74937\n49612 64324\n5426 23216\n17827 25592\n8623 88224\n9004 14683\n54105 72271\n77408 95989\n10842 21897\n14006 17539\n72135 88636\n52028 56323\n43351 73072\n47504 84490\n17185 40119\n4331 12491\n12026 69441\n14546 25573\n55571 70073\n10421 47846\n31630 84499\n14929 85544\n32332 81482\n19200 67202\n94346 96708\n66740 89834\n72510 96101\n63420 97802\n16957 95011\n55544 81677\n42149 57623\n77315 98273\n45811 54545\n85035 86375\n4714 81932\n64846 84121\n48018 50107\n51224 75877\n17895 91082\n5333 48180\n17333 31609\n34532 52615\n30018 32324\n19392 79281\n12348 24458\n4378 23425\n15997 55172\n18654 37726\n58447 97452\n18155 99341\n11411 56248\n18173 81623\n32569 39999\n57998 70616\n1143 39521\n21243 27924\n31473 78724\n31043 71294\n87466 98140\n56628 81971\n21427 72550\n14693 18266\n76546 84932\n33510 81356\n46082 75480\n4524 17182\n75170 88869\n73432 95834\n35983 45979\n52030 80981\n6202 68951\n6588 74987\n14675 46527\n3434 85498\n33660 90482\n27715 71986\n49038 74150\n17634 79508\n52301 94723\n20748 57492\n7720 92683\n44372 75713\n85163 94668\n15519 91958\n25026 25986\n91072 96166\n13719 43905\n17950 88282\n4060 64751\n34511 64344\n53395 57776\n5194 43850\n52584 98084\n34896 84163\n43380 94446\n20118 97731\n32351 41683\n25247 42201\n17761 48564\n26481 80115\n49615 83920\n6017 75768\n25735 72558\n8145 31879\n17636 72671\n65604 98730\n77563 83583\n7998 21829\n8873 99084\n5263 15619\n22286 47073\n54037 56151\n57619 88939\n38862 50848\n38995 70634\n63241 90506\n56010 79566\n22899 85765\n43048 71326\n55091 99403\n31132 51682\n51166 82317\n35598 64658\n35062 67005\n17948 51466\n14433 69587\n34936 49981\n8344 67627\n34971 93865\n23815 35540\n23340 86628\n3157 72127\n7688 66298\n8432 74832\n18006 37247\n42380 71278\n86837 88891\n6347 10859\n20113 86374\n17132 19236\n28482 33774\n21654 49001\n61393 67652\n24430 73670\n70216 80637\n16352 97244\n47112 87406\n3465 67588\n76796 90605\n24789 49735\n23101 47981\n60132 89421\n27484 77014\n11280 63084\n41323 86556\n18493 69024\n65608 92696\n86614 86859\n59352 89873\n37075 93222\n86851 92047\n2185 40668\n13716 45372\n66909 89281\n2650 83640\n71684 93097\n936 21124\n50656 74336\n30636 33531\n14530 18872\n31340 96403\n5613 86401\n39897 65937\n54037 64797\n31877 46269\n9113 13111\n62603 93340\n34734 42317\n10789 71900\n16926 42044\n7237 92696\n24105 77304\n39315 80880\n6867 78740\n71690 80054\n71404 85256\n56769 88343\n29427 75898\n1145 91859\n25283 78633\n39934 88797\n12746 51035\n41792 61903\n433 7778\n62506 77529\n24511 37458\n7785 62015\n20299 55919\n18009 35823\n40229 98142\n10734 85758\n55131 93225\n78877 97594\n53343 95070\n87218 89373\n2850 70635\n7473 11961\n15543 23748\n29585 51410\n16436 91598\n505 57403\n65839 82098\n39782 68873\n12190 76427\n28423 42955\n60496 91347\n57290 58136\n77708 78947\n54638 82107\n25746 96055\n24158 46168\n996 77896\n63235 90707\n45263 56479\n73760 88422\n10527 88718\n186 82778\n78845 96101\n65034 97116\n17308 33982\n9339 59516\n86527 91294\n70109 74516\n24111 79920\n21866 27602\n11590 56007\n82645 95558\n45882 66799\n11444 94741\n4055 53004\n28561 76284\n76423 79075\n55308 76192\n250 83889\n13124 71776\n92165 96247\n13931 52394\n60073 67272\n24889 44838\n5259 73905\n36188 69564\n83541 90232\n16397 66702\n23312 50868\n6480 18934\n15134 92773\n45902 70332\n44680 44788\n10175 78671\n26142 53426\n1183 60723\n66450 87917\n7576 59360\n57893 73476\n41610 83726\n17269 80557\n8433 33476\n9096 55375\n10024 30105\n72302 89831\n15350 54005\n55085 93052\n61170 91301\n12708 47281\n9324 29986\n32286 45889\n62954 80564\n6766 87471\n10088 23163\n42987 65587\n5933 90929\n17933 34974\n18242 89894\n26959 63365\n2534 65329\n18429 53850\n65122 68997\n20518 93629\n27629 54910\n20667 65179\n30227 41227\n35974 41764\n35182 96031\n8698 21192\n22150 66141\n12956 27756\n29467 30090\n41731 52186\n15504 60187\n35031 51730\n24506 76067\n61181 62513\n34002 55245\n42194 59187\n703 31070\n29727 92261\n4076 47226\n3739 14544\n56967 95716\n89334 96541\n26805 74099\n4865 33617\n94992 95516\n26896 49723\n34892 53296\n11720 20408\n14275 50068\n28145 42653\n22807 39356\n19478 92184\n16775 92188\n45914 88692\n25105 51388\n33553 50288\n10059 92033\n8955 59110\n20929 40303\n34005 59136\n39066 54098\n34216 54613\n12221 49684\n27548 68819\n3954 68921\n15346 51477\n19016 96013\n47728 72178\n12580 63479\n52211 61350\n48060 95931\n21970 47178\n12105 43909\n40815 96453\n35248 71804\n16651 96089\n23346 73957\n28193 99747\n32259 57839\n54183 61271\n35228 71608\n3397 13325\n34334 87334\n68052 70576\n56563 70282\n49026 60438\n7449 8318\n32467 62157\n15684 29814\n4969 57652\n57701 97815\n2983 82669\n46787 78414\n31170 41024\n5418 67183\n35947 52192\n38317 68260\n6012 10811\n45684 65871\n59112 75027\n51582 65142\n77793 81659\n21942 40083\n40236 96557\n50487 89791\n3343 45659\n2969 57486\n12762 81448\n5083 10808\n41451 73912\n14555 77062\n69294 81758\n1658 84292\n21850 92866\n30031 98449\n24549 72329\n19667 44667\n16307 19817\n31909 60946\n4092 11771\n60358 72836\n21345 97422\n13186 43741\n11357 32401\n34938 58635\n53389 82568\n25088 54334\n2078 81308\n7587 44760\n48540 70142\n17395 51723\n1566 88949\n4378 93453\n37665 73833\n34976 67826\n33364 41760\n8900 61178\n11413 87992\n70351 74969\n20229 23109\n59625 76144\n66148 80555\n28988 30170\n15513 49938\n14369 56588\n41600 46238\n4233 62802\n36519 59060\n17628 90916\n1484 87050\n93425 98837\n70187 94244\n33426 93386\n87313 96786\n3654 57335\n44045 51340\n18127 43729\n1466 43393\n30595 67245\n97383 99668\n12514 99625\n25890 51461\n42729 51075\n30111 60551\n31525 44608\n15768 87428\n17403 86776\n21713 44127\n1536 71540\n19069 81571\n30110 75786\n45668 90417\n44023 94681\n14765 23059\n37911 95937\n10757 76996\n59743 71059\n23108 65263\n3998 65133\n31862 35613\n59774 98578\n54204 91801\n14494 73374\n59719 87885\n26856 49537\n32809 87233\n23868 79658\n76264 97723\n51258 91462\n31733 90027\n61687 65662\n1826 86050\n54619 99286\n42697 56757\n18850 88312\n43020 74060\n22819 56484\n13262 22066\n36853 49223\n20333 89913\n14048 41409\n5040 76582\n32507 59218\n3057 52570\n56729 68644\n59497 67698\n3137 97603\n81134 88877\n44958 46711\n52103 61924\n29580 33352\n71931 81809\n57052 83251\n31429 51212\n76181 89440\n30074 50742\n27502 42856\n51531 64003\n32120 70989\n46065 50359\n75507 92230\n6981 55435\n22480 45465\n7077 20450\n1269 4407\n18590 89360\n48034 84253\n1787 44484\n1318 26826\n21081 24017\n2884 94065\n43028 96550\n33923 61931\n15919 61052\n56801 90406\n3966 8726\n1818 67039\n17583 96454\n489 55465\n31153 93252\n35802 70443\n73169 76022\n23626 87335\n4589 87781\n48591 53121\n74551 91961\n36870 43414\n16288 29961\n33224 97427\n52271 90011\n14897 75707\n35909 46671\n3688 19608\n29478 41628\n56063 98793\n85577 92774\n40032 66284\n73295 90503\n56495 83542\n24458 30442\n23548 38229\n18020 53289\n4353 8643\n68470 85411\n18865 98581\n48947 87972\n16471 97996\n22414 93083\n25275 47878\n29072 64335\n29195 56218\n79935 80070\n49627 89760\n89794 94223\n65561 99688\n74499 93634\n47813 96181\n4001 95950\n16956 23955\n7456 32713\n52317 67165\n10876 14705\n66752 80269\n81299 83739\n13978 96661\n4754 95799\n40586 79496\n11928 87643\n34791 79458\n1537 86557\n20157 52581\n50787 60491\n78519 82815\n48591 97665\n16530 36008\n25715 85305\n55834 79403\n77297 90040\n11053 41107\n57904 59143\n30494 31509\n45876 70539\n27409 35579\n11372 29255\n9462 46657\n46216 94881\n97873 98118\n55492 88491\n4208 78757\n43883 61550\n92 9700\n54976 93139\n30387 57903\n53518 88689\n83213 95231\n11143 33111\n5991 49669\n21490 32250\n21605 90651\n52923 62094\n25579 94020\n9888 61946\n14691 87884\n36023 54025\n42639 83550\n6131 12139\n2694 29611\n20717 31168\n51206 86703\n5418 32090\n16745 39845\n72040 96485\n69705 98280\n76664 90121\n46775 94009\n38347 64134\n81028 98498\n24095 34341\n40784 53141\n73911 98142\n14256 19766\n28162 73893\n17417 54732\n2357 79833\n41550 60566\n76426 92633\n6696 60483\n38713 62483\n7875 26457\n71781 93000\n28559 95890\n27017 93106\n11591 69909\n24602 38867\n10057 91945\n28629 34134\n66104 67345\n42810 47936\n20241 74539\n41090 49377\n7036 33297\n74410 84594\n32106 63136\n33210 34806\n24757 83231\n1803 86840\n35240 79640\n43708 44843\n17660 19583\n4073 45945\n6961 54016\n30843 32172\n9727 11704\n29986 50249\n62870 98455\n12752 20803\n29402 52019\n74216 77936\n6237 61564\n12450 40632\n28834 42045\n15407 81988\n65162 80616\n5164 27190\n53819 75132\n54877 71348\n44886 48941\n84074 98843\n30861 93748\n52052 55198\n72512 94814\n51063 59105\n37985 50312\n23704 52384\n41716 96804\n14838 82904\n36761 60513\n17671 37655\n8449 70772\n31852 51887\n70087 75216\n50101 62665\n23567 25029\n33497 45868\n20664 85580\n22846 37054\n12701 91112\n3900 86925\n4477 78089\n14969 81248\n63793 86200\n72629 83281\n48370 93130\n55955 87471\n709 72992\n4855 43928\n25273 25719\n43311 76001\n46768 79713\n73042 91002\n52122 93535\n48333 58070\n54422 86463\n28353 90848\n21519 51318\n59251 97370\n48272 90347\n45382 86147\n3101 58920\n10193 30764\n40084 81590\n49692 56916\n7110 99583\n10864 29984\n25071 83964\n24946 58405\n4427 37203\n29636 97063\n8371 34559\n4495 76614\n1966 79506\n29531 42095\n19924 52130\n53590 97163\n34198 52166\n690 48834\n47337 98336\n41242 65247\n66798 91247\n53892 92660\n286 87656\n30546 84035\n38865 90059\n2148 57757\n66900 81169\n10156 26236\n41055 43385\n16377 40974\n48989 70154\n30933 96582\n4716 81538\n21030 44915\n19984 88244\n6993 18762\n27654 71222\n41753 85696\n67255 82416\n45851 76675\n57141 81886\n32329 87888\n17912 89164\n19999 81958\n72046 77008\n88774 98708\n60709 99832\n1229 72537\n52346 90651\n37981 63511\n50077 80213\n31481 39735\n72382 79104\n29751 74713\n31796 71010\n9662 15125\n8843 31538\n31627 96483\n39102 46102\n35839 51480\n71821 85733\n15653 71093\n4526 63629\n25727 29405\n45500 97914\n57545 88813\n9697 40022\n51339 87896\n59035 85669\n2821 96553\n9642 98834\n34763 94147\n40509 84946\n34055 50670\n11905 75437\n32229 69913\n12819 15330\n3716 10103\n7836 58047\n23791 48534\n18154 25502\n4084 61901\n18045 88346\n3221 85976\n28145 46566\n5342 63263\n13140 97164\n26872 48268\n37107 75561\n60085 74344\n51517 83315\n52015 85855\n21098 27143\n54321 81648\n22574 47761\n2433 90164\n55525 57488\n14370 40744\n57928 72390\n20199 51983\n11386 43814\n1049 82274\n28622 83079\n44602 81077\n25649 52504\n53874 58741\n36640 88064\n7393 15650\n54715 89299\n25773 29663\n63011 81678\n46010 76994\n22889 86476\n40738 61280\n46588 67862\n19958 86344\n21059 55276\n15955 38759\n17928 39936\n23811 84483\n30767 89672\n23720 82185\n58900 85132\n37159 83571\n74002 94611\n55513 67417\n989 49573\n2599 9918\n68805 83986\n14835 42891\n74737 89245\n70749 90501\n9879 30012\n39550 86975\n5890 36198\n33975 43103\n36308 67645\n61552 94858\n69950 89543\n19302 64125\n73038 78868\n14892 70983\n58513 85058\n39149 48253\n41273 79098\n64298 98006\n18554 42255\n75282 83053\n12370 12755\n49967 80088\n33289 92066\n57554 80482\n38916 57038\n30218 92102\n46433 89089\n14958 44583\n13594 30879\n913 98717\n46470 75830\n19979 53407\n2676 23290\n1419 86137\n3814 80646\n22049 67793\n430 91910\n62871 85279\n24565 29498\n7375 31925\n29352 88752\n29493 99398\n9385 87087\n84680 96889\n3345 36465\n60880 72990\n27970 77951\n6471 21893\n58262 71545\n48052 55927\n57744 88303\n61026 62440\n3938 31191\n41333 94715\n34301 59782\n45479 82939\n34144 53930\n8206 76199\n88454 98490\n14566 59211\n20661 40869\n48416 76144\n72068 91282\n17395 96113\n32850 37523\n18488 40827\n77309 96961\n52598 93563\n50409 73245\n34414 76468\n4212 28931\n20886 87705\n20779 50142\n35540 45674\n90520 95757\n65073 89178\n11149 87895\n35556 35893\n40097 84078\n16895 61224\n11663 92649\n55197 94290\n42202 45855\n29324 39193\n10799 67763\n53255 58683\n24919 47484\n37530 73233\n17691 62045\n57799 87380\n21981 81005\n11293 44249\n48498 60643\n89037 97763\n36913 98228\n59603 59693\n44111 65023\n47580 86002\n33255 49095\n22771 44217\n40965 55551\n7642 70851\n43527 72105\n90855 93272\n15797 51432\n9716 34453\n21285 81685\n30277 87243\n21981 48447\n43035 79866\n82276 82926\n60988 71975\n26005 70092\n41725 43556\n81367 87645\n4718 78857\n53963 64967\n33889 83175\n17440 39418\n136 71617\n52428 84202\n67571 99086\n77302 92541\n30742 92834\n2133 21792\n70636 90225\n1202 70296\n26441 74131\n15661 93994\n47521 73393\n24399 66021\n83892 98166\n82290 89801\n61495 71011\n13884 84288\n93089 97372\n1513 28402\n40875 48936\n2285 37309\n46769 48921\n30710 71026\n53545 79377\n61931 80932\n49766 66154\n20547 53169\n9708 26899\n35899 95273\n21569 96379\n48527 66838\n52965 68965\n24853 76540\n28347 66486\n45309 59557\n27399 59541\n22825 92855\n22405 67693\n83067 98530\n64597 70733\n51202 77556\n47170 68713\n5300 28695\n30812 51228\n25214 46911\n35129 84117\n46076 59298\n7137 19684\n41669 54798\n34600 85909\n67805 76833\n63702 66596\n34802 75631\n28352 82792\n36233 94008\n11890 86937\n21374 55843\n18877 66336\n33638 96448\n17373 76723\n12706 39882\n16733 69403\n62498 89599\n44670 45244\n69087 80666\n18713 66963\n51747 60178\n11273 30272\n48262 93501\n45135 88667\n17301 50343\n39472 56666\n37854 95432\n66562 80652\n25726 80535\n66296 92557\n23633 86459\n5209 76772\n7507 18639\n15743 90199\n10632 89816\n5208 20948\n19322 67005\n13653 56129\n43355 85502\n49900 90940\n16860 41068\n61435 81476\n46706 84720\n38596 69149\n73530 80200\n18217 21073\n27806 96926\n48223 94990\n2965 52971\n73128 82707\n4844 33381\n59823 85504\n33201 55001\n22593 80069\n62507 78204\n7888 22891\n51411 77940\n49637 78732\n46173 74415\n11792 84623\n31533 33963\n13730 71879\n2702 84463\n70320 72515\n28761 49768\n27572 49333\n24221 73386\n45916 63821\n9161 38631\n47278 81877\n26494 30189\n17072 47234\n10994 29325\n16953 67532\n15193 78629\n593 82622\n20410 67376\n2837 89781\n30204 34338\n21880 59754\n24773 43551\n7454 89323\n7113 77486\n41164 55396\n10361 22668\n31307 94236\n34358 53702\n2828 6059\n78762 98152\n51571 57234\n50584 99932\n38708 59873\n36100 94896\n65950 94282\n14738 22898\n2734 56355\n16822 41719\n45112 84859\n52705 95360\n29513 86762\n30394 68544\n70288 84108\n42408 98468\n1881 99020\n15396 93044\n43530 78361\n32346 89611\n11290 41894\n33809 91972\n60121 66353\n29274 85276\n24164 41237\n73003 99116\n23807 50953\n46165 52364\n18597 85773\n12690 46633\n58630 83345\n10466 84263\n57282 75433\n12441 14766\n17743 89500\n47898 72807\n880 53782\n42551 65935\n26561 72682\n10965 62976\n54198 62206\n46343 52935\n9753 95675\n4388 19821\n11423 47390\n18285 26707\n26702 57935\n39944 48531\n63416 88638\n71752 94266\n29198 70923\n4293 73625\n53436 81171\n69929 98584\n62503 72728\n16248 54945\n20252 68048\n41277 84361\n11750 96134\n72908 97163\n26601 67116\n11289 49804\n8339 54221\n15507 40623\n3313 17906\n13323 45570\n57206 98849\n58191 98267\n8684 22591\n34567 74811\n22041 91566\n51552 74808\n41594 54575\n36831 96306\n12680 57793\n68149 79584\n24973 73329\n14735 41251\n84443 87039\n3838 82648\n76857 79637\n29280 51917\n18563 78633\n32141 86429\n76603 89847\n18685 62425\n62008 91682\n33818 51896\n6293 22625\n39830 41519\n49564 74970\n2591 88170\n24819 55833\n35782 71017\n20995 46456\n10896 63961\n9871 32575\n5713 96019\n48620 74893\n31783 50364\n4712 21342\n23625 58870\n22654 96986\n15857 68545\n4358 17604\n27120 53546\n14130 31503\n30907 94448\n60381 69405\n77343 98688\n75217 81863\n19272 88547\n14852 40493\n70829 76591\n17898 33147\n2783 37055\n4395 12293\n37058 80844\n9240 30882\n64900 95517\n26416 45820\n46205 51606\n46363 99476\n62309 62798\n20589 64855\n65763 91373\n45650 88240\n73599 93136\n84478 94180\n390 38108\n14649 92672\n12191 65715\n15734 35219\n33942 81191\n24232 25016\n20730 33681\n28266 55336\n62150 82453\n25224 83895\n45506 90359\n6844 67763\n18131 56075\n30847 67564\n11284 18778\n6707 54484\n25949 47648\n2095 88758\n34564 41687\n43004 61419\n4369 35715\n5425 72039\n60810 80036\n33724 92081\n10171 75665\n28510 63667\n13516 68428\n10788 84500\n76317 86534\n54531 91793\n47294 73489\n21048 74351\n24331 48276\n4954 89392\n95810 98839\n91249 95432\n21980 77307\n54343 67257\n19914 43829\n26802 28274\n69720 74737\n5324 43672\n16483 44381\n85669 87816\n2416 67892\n55638 82104\n67342 91957\n35867 36681\n40089 92874\n5523 54767\n59946 73518\n31743 35139\n25843 79767\n19231 96412\n16981 45932\n59001 92500\n36849 74488\n6852 74520\n14138 40306\n91342 94152\n35293 55643\n18552 40454\n36638 87184\n24708 40428\n41353 81745\n11089 90168\n38689 87190\n24890 33208\n86263 96166\n39975 42630\n23960 87588\n33290 75691\n16425 85323\n43682 56797\n14282 29780\n22593 56208\n14116 61022\n12088 87120\n56898 81298\n933 14311\n20024 43060\n8460 96706\n30071 64718\n1913 54150\n9116 10064\n54920 82709\n28448 89111\n24613 46844\n11314 21600\n78996 84664\n16075 72177\n50228 67273\n73105 91996\n14558 90185\n47809 77673\n28834 29883\n7501 55289\n82842 83106\n2596 9750\n25907 57187\n19638 77339\n30108 78711\n13040 56074\n10627 85291\n40760 64450\n12964 44888\n39489 65219\n1990 14155\n5008 57212\n61466 65481\n85739 92203\n49391 98865\n35282 43805\n5213 57660\n43830 90618\n29764 81623\n30816 84106\n35758 59166\n23203 56947\n1017 2493\n29805 70548\n68453 76650\n51540 69027\n36772 81075\n40748 75260\n52655 95513\n6078 90085\n42992 86308\n2967 40325\n7531 30572\n10804 89407\n43772 75576\n9245 84979\n55000 96552\n2082 37243\n35931 79215\n68018 70647\n26393 49009\n33437 94103\n22436 60789\n60700 86050\n6622 50363\n21010 67233\n50286 82892\n17399 78810\n41244 91881\n54542 84121\n47839 51184\n45441 72592\n85915 99071\n22105 88825\n70655 89741\n3297 89096\n4389 83826\n36401 51976\n15439 69642\n30901 92955\n68855 80696\n50843 89316\n26641 57280\n36529 56383\n43230 53568\n1263 14112\n22727 61184\n6612 99974\n5952 6334\n2572 93175\n69054 94767\n10110 42312\n14272 51504\n51238 75571\n18512 31979\n10742 16450\n56550 78966\n58304 94508\n22632 65325\n48325 91903\n65902 86761\n30417 57199\n28741 46778\n42575 84889\n9742 49921\n78055 98548\n44307 60318\n63752 74724\n28152 53208\n49112 50567\n8235 76605\n43211 98869\n13074 78540\n66097 99423\n20287 63476\n73584 79773\n54510 84809\n1987 50502\n51590 59685\n57909 63045\n12400 49501\n555 51999\n55788 90747\n69871 72021\n56204 85657\n68807 68843\n81050 88204\n8010 63298\n31149 97844\n7445 46759\n38664 49365\n8705 9122\n34211 83532\n5306 30100\n16417 81906\n43769 66956\n79062 89242\n6368 41194\n10281 56828\n68831 74000\n88121 97086\n9606 99722\n30382 57999\n35011 48812\n32184 65771\n10085 40946\n41479 56658\n33522 50960\n61049 61403\n39233 68931\n36341 73833\n31981 87464\n34914 63040\n3271 40400\n3656 15079\n23636 38126\n23049 34077\n47000 67483\n43574 48735\n10714 21687\n35603 52302\n52143 94405\n51320 82256\n12064 59682\n35869 38862\n67392 81345\n7260 69082\n6678 76448\n48571 69454\n8395 11437\n12722 55484\n53447 90620\n29535 56325\n6819 38969\n18897 81745\n30458 66065\n28059 58503\n18813 90515\n22003 54497\n40874 66243\n35080 89237\n51048 53238\n44495 75803\n33549 86095\n18168 47085\n27853 33530\n24703 73007\n87731 93396\n30460 72634\n14628 31718\n40163 55287\n76772 83469\n53864 57150\n14153 22194\n41920 55321\n27216 35017\n71385 74649\n4315 65987\n14587 53701\n8386 14755\n13593 50679\n46204 55113\n42640 65705\n38167 58249\n17203 18137\n18462 42945\n11031 73581\n23662 77193\n22145 58015\n50657 63959\n11402 84346\n67622 81575\n45665 66178\n54419 84028\n2363 47527\n86493 93439\n39722 74032\n3478 18277\n2493 10559\n54768 72857\n34209 55006\n55976 62517\n30740 64051\n5275 60152\n30719 60696\n22209 76253\n90848 95787\n45440 58578\n13380 76013\n72184 74435\n22121 36030\n8549 98035\n1639 55392\n39483 87544\n53268 55060\n6951 43948\n9515 62386\n25387 67349\n16344 46668\n6800 28577\n44103 75690\n34282 38630\n41756 88602\n8732 46348\n12702 98752\n10334 94357\n42317 42412\n40370 59008\n34301 55223\n48593 56408\n37844 37941\n91623 94903\n37896 82618\n45407 80663\n15506 70705\n43459 98096\n7948 80601\n10890 23619\n2257 94738\n55857 61416\n43905 55731\n54580 87000\n34069 56669\n17583 73607\n35507 72060\n12504 34722\n29223 88487\n144 83211\n40490 56936\n24787 26892\n3744 21650\n63121 79793\n22108 32609\n43223 73325\n24902 97001\n58291 64405\n47078 73877\n12428 15523\n57095 87192\n50730 70384\n34718 74893\n2207 15000\n49110 55038\n61774 90284\n16320 28895\n14615 50087\n19266 65179\n30372 96866\n11206 12082\n26252 92516\n3222 39257\n45827 79957\n21591 23869\n18732 58091\n29628 35115\n6018 54405\n55464 81631\n34547 91341\n30197 76200\n28533 46080\n33675 33696\n48184 97853\n62740 75773\n53105 75289\n5340 65149\n21785 40051\n13337 82419\n48627 99200\n33465 46067\n11510 40212\n5899 65913\n54622 56355\n43340 48161\n69 8185\n21616 91827\n5971 71695\n906 64894\n6197 94425\n14652 18361\n20568 25792\n9282 27769\n23229 61482\n20470 29565\n29189 73805\n36110 84111\n7821 39536\n50066 78599\n40959 70382\n31399 74607\n64716 82648\n15224 58972\n1888 64160\n17961 40108\n19359 76433\n2414 78196\n69093 74499\n3838 83811\n2448 97808\n1897 87568\n30627 67342\n70247 85656\n36602 94999\n45564 86208\n7624 59686\n81420 98718\n9428 71876\n20930 87568\n43747 90064\n25152 27624\n34966 35573\n8681 15754\n10656 29244\n75301 94962\n12215 55375\n57767 96212\n33088 64477\n20673 27162\n34455 64738\n11407 79827\n32160 80971\n906 48077\n15283 42241\n26806 55641\n61930 89549\n60230 84982\n35466 39909\n18259 67103\n13709 72122\n18611 37868\n76900 86352\n18045 80871\n23953 67938\n31535 78363\n39377 89251\n81556 91936\n13693 77013\n85249 87737\n63362 98281\n13960 70941\n46035 56770\n70796 79167\n6618 90353\n30336 70310\n19155 37392\n3511 99910\n34698 58815\n40607 51481\n31502 67900\n12247 98656\n6609 65947\n32197 84467\n53600 76765\n45539 74083\n11627 43839\n11730 62350\n28160 39185\n34243 39768\n52241 56719\n70144 97439\n19677 37961\n21450 48468\n31401 64889\n9820 32642\n17518 90249\n20775 61617\n18695 79753\n10009 47129\n1774 54955\n31525 40607\n52010 60989\n67476 80087\n20563 66836\n9321 53415\n48977 59373\n39242 49230\n16114 82068\n20791 92265\n69771 83411\n35509 78314\n24397 75174\n37001 42975\n51453 60943\n30899 31490\n37853 46604\n67014 77403\n38760 89584\n26928 32921\n32546 88586\n44287 85850\n43204 92805\n33407 99844\n51719 78512\n35853 55365\n35561 79335\n36418 44512\n30700 88228\n38408 42160\n71274 81921\n529 84662\n54815 97668\n24150 51130\n43690 55770\n71825 86466\n19365 61622\n1681 21387\n7822 98596\n39782 76608\n61012 79648\n15118 36987\n33861 53190\n73883 96989\n70646 75842\n13810 94826\n24821 70922\n35000 97151\n6971 23557\n32598 34492\n35774 95877\n42242 45373\n20255 29552\n60196 67378\n38955 73970\n9810 40403\n71487 97344\n9135 67162\n2117 42176\n28849 43847\n15983 68327\n6338 7111\n76854 92626\n8783 72025\n1402 3656\n24319 45057\n39291 86739\n27019 27056\n16820 18497\n53972 58151\n84366 85099\n92111 98649\n30124 65730\n5786 70333\n48977 90437\n87328 89630\n27105 40270\n10253 66658\n39627 80295\n23101 48287\n13682 70970\n36351 47451\n16216 22328\n53428 74043\n36585 72617\n42589 43355\n29415 72397\n20631 81244\n12734 63505\n14996 40014\n65088 98826\n70179 75935\n5042 93357\n4625 32353\n17126 55093\n42296 67411\n20752 55019\n26082 75869\n18320 31957\n14795 92820\n587 77960\n16019 59127\n60113 72227\n67875 87768\n59407 86326\n41159 56668\n95697 98222\n14618 28912\n52907 79107\n18592 39776\n13470 18633\n66909 92199\n10819 53232\n63011 68033\n55249 86785\n1358 55122\n43244 86577\n30986 60461\n45363 81220\n48482 69517\n8352 59955\n671 39400\n16749 25602\n16716 73284\n16381 86277\n51430 76130\n21336 32147\n10879 21045\n54111 55256\n54883 83553\n4085 88995\n39631 49634\n1617 93871\n32768 90512\n66409 97132\n12088 75021\n35520 86583\n33150 63844\n75964 83953\n7524 63545\n44278 46071\n16655 46429\n25117 54552\n24018 62277\n15477 97285\n60277 86981\n47507 80080\n9088 29203\n25163 58737\n65022 81600\n59644 76608\n49565 51245\n54364 83329\n40647 61972\n52115 64254\n26769 90298\n47905 78756\n22850 37883\n55728 79376\n13529 97287\n27753 69071\n9569 83349\n2501 11114\n13275 26816\n68336 71512\n32023 39501\n64589 67320\n46637 53499\n24926 47569\n39928 40525\n46900 94561\n23951 41395\n3482 93720\n31677 83091\n5358 90199\n38451 91379\n21100 90324\n4450 39276\n1681 20617\n47973 54891\n7777 88124\n28194 62189\n4440 10594\n12247 32628\n15863 64693\n1431 2902\n15938 46769\n66921 67305\n80722 94921\n27211 80359\n72535 95266\n19008 45104\n52234 55711\n31274 78591\n8923 75396\n36015 58682\n16921 57440\n10843 28996\n8896 39180\n32087 99036\n9388 47437\n44318 47333\n31916 58239\n39221 66563\n51020 98474\n40283 67614\n62025 87671\n18723 59700\n42871 64629\n10339 90292\n58126 80927\n68060 93014\n27366 98410\n6277 58626\n14956 88866\n98608 98792\n41115 63070\n5184 93317\n319 7036\n3899 89464\n19344 67870\n26189 84692\n43898 99910\n16084 92286\n42714 88398\n46385 78128\n10082 32567\n9273 97925\n2594 76001\n39119 83141\n25924 27881\n19980 99994\n33144 48343\n12884 84536\n62769 83995\n41567 88879\n15348 39123\n7683 82498\n28414 83074\n47782 71530\n28130 52912\n17406 43284\n4481 86830\n35134 71078\n57194 65151\n42730 58599\n46755 97689\n1358 86083\n36330 39953\n77530 92116\n59173 89778\n49785 87961\n24020 85196\n9117 75104\n5453 59408\n62282 91137\n37667 66687\n58755 62104\n45543 65035\n14936 19753\n4566 94589\n23100 42993\n36074 56710\n34482 39271\n58529 87930\n25345 59637\n44612 87173\n43639 96946\n47040 96238\n12808 42180\n61600 88125\n44436 74106\n40993 54467\n10206 67435\n20244 48724\n45884 90029\n19342 36904\n4685 76284\n28804 63535\n194 70583\n18093 83959\n11080 19343\n46070 97931\n34356 86507\n51417 54811\n11372 46102\n42819 99935\n4761 86397\n7910 25295\n8092 83817\n4153 86205\n90355 95899\n18887 74426\n28063 52240\n21877 79547\n38898 51556\n54609 97482\n25601 63335\n68665 72108\n40263 74467\n28604 98321\n72710 76956\n25125 65243\n43658 90045\n71358 91242\n89229 91268\n80216 93086\n26237 79518\n78448 79647\n33601 53360\n17093 80048\n21816 57869\n72330 85744\n17391 84862\n9685 76146\n24975 49074\n2672 49395\n13738 47630\n73666 83442\n19510 27786\n72886 73250\n11611 49610\n67248 93752\n2213 48865\n29137 73959\n19011 78821\n37632 54155\n55343 81266\n14855 78654\n49841 51052\n80931 92035\n2992 22833\n72737 77630\n63108 68290\n14338 29137\n45146 97069\n57280 79297\n36771 50212\n14831 51709\n11210 27146\n39744 60652\n599 39967\n4969 14280\n18160 53144\n17350 19421\n3029 30875\n41264 79540\n6092 32357\n26735 50663\n39939 79359\n60025 91425\n14295 79457\n1855 85334\n763 89401\n20361 62494\n56025 73371\n2018 36886\n21043 31102\n24167 26451\n59890 87838\n40709 70094\n16754 78179\n5747 78770\n75932 80160\n18031 63849\n85797 95278\n17285 52204\n42772 79710\n36317 74293\n43814 61724\n8499 92722\n85461 99204\n42373 69837\n10198 25917\n48110 77281\n27615 55085\n4994 56455\n41521 96595\n9863 35632\n19108 90157\n32901 36657\n78984 86755\n50283 99612\n5561 50249\n50772 61636\n22613 54348\n24881 98203\n25361 83763\n8706 22316\n61593 84564\n28556 61078\n15409 69138\n20753 50313\n17969 30744\n75525 85787\n24614 74345\n23910 52922\n19341 72728\n38058 98976\n26846 87349\n1387 90940\n28100 65642\n14217 91827\n21965 26178\n1600 17658\n77309 87419\n47326 94294\n22612 99519\n83362 97667\n42893 45540\n68477 78274\n8456 35433\n37043 68123\n23973 89517\n40810 71766\n30162 48439\n73079 91058\n60192 72079\n34368 96800\n44268 56624\n4807 37136\n39060 71544\n10427 90899\n13987 75022\n14298 62216\n23546 98565\n66825 76682\n709 97462\n86808 88404\n85458 93761\n26325 78731\n22058 55373\n85095 99938\n59660 67378\n3214 74243\n9919 32060\n19333 42667\n10300 25847\n16338 69085\n84683 99312\n36895 38371\n15129 88433\n68458 70029\n10754 23445\n18002 47382\n10054 41802\n2868 32140\n24316 41212\n35705 86042\n23594 45885\n15393 90765\n63141 84167\n42876 50989\n7986 15566\n43849 64515\n61497 80345\n28992 32454\n2082 97522\n27582 82102\n14147 42284\n7282 66543\n13876 45317\n41714 50047\n2793 27856\n81385 94584\n21311 68032\n9760 35030\n14516 33601\n58256 81246\n40972 97255\n8013 64182\n78002 81101\n80773 82502\n71287 87342\n59299 81311\n50050 63276\n34528 65530\n32182 93039\n38803 98867\n59518 65567\n35996 56347\n43289 84930\n59574 78886\n53463 75435\n78338 89764\n31439 43017\n53555 86005\n47642 77655\n1663 93702\n3239 13348\n60575 94046\n54812 79682\n7024 41217\n3293 39281\n92481 92627\n5474 61886\n60349 83390\n28827 87311\n1285 37818\n1984 30322\n35672 43930\n13788 61763\n36557 64474\n15322 55128\n33654 52517\n10652 50950\n39488 93752\n3426 59631\n56865 91272\n78653 99505\n42679 75305\n16269 37646\n19544 68464\n13678 62438\n1883 68644\n29612 68427\n44208 76550\n48398 88296\n53926 66092\n10296 34455\n72432 75370\n5826 17995\n24620 55987\n58947 80997\n74459 91115\n40635 44451\n33461 74318\n10854 41437\n86899 91697\n26128 96172\n15047 30385\n41337 43449\n900 27159\n52490 64137\n9826 33455\n1517 65615\n41605 98784\n5148 33625\n23810 64958\n17597 67453\n9188 99341\n22728 77344\n47327 99301\n9210 42123\n3525 89638\n66794 95402\n22521 96757\n46235 70497\n15507 28334\n49880 78561\n34475 58338\n54051 73381\n17606 54065\n15252 71604\n15846 16813\n42504 54296\n51766 84985\n54470 72952\n68668 80651\n34750 68428\n34466 86998\n13554 25021\n66577 79128\n38441 96666\n78816 91132\n10721 44518\n76530 93307\n26867 72188\n16175 42157\n40529 84702\n15797 78517\n27162 94592\n34035 60716\n34326 58390\n20488 86326\n72428 91096\n11804 81868\n76553 96951\n24171 42603\n470 13173\n14869 55545\n10370 77706\n88 98476\n21074 59324\n9823 80370\n53067 70796\n7716 56759\n66373 88428\n16668 79631\n77944 81190\n61085 74044\n67330 99641\n6428 40555\n25062 25926\n19212 85398\n40961 76595\n31803 38268\n50492 96647\n5888 7509\n25219 29295\n48637 88475\n43479 98056\n32470 40014\n74599 80848\n3747 56378\n37944 93431\n10483 99009\n58144 88371\n7426 89374\n69680 77424\n1010 82748\n30294 75001\n69909 88120\n44906 72479\n64173 93264\n41315 83451\n22371 76261\n2891 85640\n89897 90008\n13061 90339\n30668 89401\n45605 53552\n31351 45808\n51335 91371\n69430 80734\n15560 23119\n76975 82618\n15337 62716\n18710 53640\n13270 44724\n27965 41252\n64598 79598\n48 47744\n83491 84375\n19282 42084\n35961 76487\n73956 92489\n59748 95549\n29883 82225\n73846 86397\n91564 98030\n23055 56493\n1003 98973\n8141 49608\n60804 72537\n71323 98098\n12316 27682\n5595 56399\n39233 59220\n77030 83415\n37959 80878\n42965 69440\n39641 47113\n59718 87006\n3010 91364\n27571 35297\n8405 81363\n6426 61569\n77402 84253\n15863 75254\n28040 39536\n14985 30154\n14989 80456\n83430 84511\n7805 34646\n4337 49416\n14561 52352\n88799 96966\n27944 85712\n45598 63864\n29951 39762\n36757 89988\n45309 78370\n47579 53638\n20097 81857\n62423 71296\n57433 62350\n6667 53501\n54254 82635\n39336 98828\n15294 30293\n30075 67062\n32422 59221\n46639 88785\n35557 37565\n10892 51677\n25772 41783\n22019 23010\n4331 97435\n57087 76158\n54436 91217\n40584 83970\n5633 49313\n4529 87171\n12604 12839\n45576 49136\n35695 46541\n10051 24599\n31148 41179\n52019 58889\n49208 59609\n6855 69734\n24590 48049\n24273 40050\n54843 66687\n837 41068\n13893 40585\n729 40103\n94301 96185\n69695 88441\n1016 73369\n55977 74283\n79202 96505\n29363 35037\n28686 95666\n43152 56973\n12306 97206\n12268 51646\n50077 97274\n20359 71435\n14686 86229\n38739 67769\n4453 89423\n26018 32767\n44180 44354\n1656 50003\n6554 99770\n32038 70345\n3348 59586\n41394 88212\n8832 74716\n21310 58174\n56773 78244\n10971 58541\n53990 73991\n64142 78631\n11622 52110\n34860 49332\n12568 94341\n30026 47155\n90178 90415\n37223 67443\n11368 49903\n38995 70025\n44481 99233\n16543 72441\n80327 82817\n7873 93452\n21169 92860\n83708 93955\n58988 62630\n89320 89873\n7978 30043\n8201 36065\n57811 58038\n44877 96636\n87168 94676\n68714 69338\n56238 85919\n12554 26918\n15824 26144\n52150 57526\n12298 92871\n26644 50763\n4286 42715\n62104 99414\n48861 64634\n259 9827\n20604 25963\n52059 89096\n52507 76849\n13071 36595\n10750 35980\n73889 93717\n156 56368\n4715 91247\n25840 40971\n75526 87080\n25584 71730\n25325 93769\n27879 73276\n35182 66706\n9715 93620\n12536 52746\n33281 64422\n30832 70310\n8145 91152\n12405 61473\n5489 24457\n8470 68433\n67961 81107\n7100 15255\n37218 95155\n9048 16748\n45746 79707\n58098 61457\n10144 27152\n34658 96012\n54940 57976\n61097 71156\n13680 20644\n36851 92845\n22750 35485\n70965 79362\n25857 91101\n17895 61052\n42430 48733\n7591 39802\n65337 99545\n42427 92009\n16913 74622\n55255 83945\n29618 98947\n73789 95622\n30799 77507\n43779 61513\n36089 89560\n52361 62295\n14096 59532\n67047 71487\n5235 78367\n54742 66037\n20661 37681\n1014 16648\n33789 91447\n23079 70119\n10206 72349\n46 76624\n38262 45355\n33827 78626\n81938 87249\n17127 97599\n11978 35975\n2214 48220\n47862 92501\n31863 94205\n36860 60749\n46771 67310\n10636 17372\n97445 97729\n18607 89140\n49726 88837\n64323 89525\n62802 73694\n27873 46179\n8355 12361\n79628 90313\n60500 93259\n28130 36102\n43937 53473\n29503 72347\n22200 76173\n45232 70839\n65809 97686\n17533 37501\n12121 37788\n28283 55058\n68137 73864\n20793 72718\n5933 14364\n52362 61431\n33603 91861\n10706 24217\n73431 87854\n12778 48919\n1134 32512\n4504 63483\n1429 16598\n22313 97920\n64811 94067\n50225 65866\n32099 97127\n53269 55992\n34269 75759\n5742 88108\n37670 95602\n19838 87874\n9468 34456\n46614 63268\n21719 98414\n27621 64924\n24369 59395\n10223 42504\n15880 46729\n33143 60921\n63289 91238\n21 81557\n80322 90503\n25525 73034\n10222 55183\n21288 33036\n47028 53540\n65616 75099\n4137 12038\n4371 85164\n29244 95502\n49067 67274\n35095 58547\n5875 31082\n3699 90838\n15028 93551\n62177 67479\n21728 96861\n8434 78111\n33584 81907\n53776 63006\n8946 48314\n5619 72591\n57029 75198\n34144 97812\n89965 93461\n33402 59472\n37507 40901\n33886 90465\n23468 63106\n17707 30342\n1772 95308\n5010 70369\n4557 61999\n5093 55259\n87762 94078\n16895 55396\n14784 36987\n4990 9988\n93902 98607\n68022 81380\n29439 65551\n45473 87289\n9174 55223\n10982 66417\n87296 91169\n53862 83086\n68439 93063\n64058 96028\n34936 62921\n6823 34711\n52815 54947\n22083 33344\n27818 97433\n7759 98832\n11758 77713\n12647 58746\n7540 9097\n13127 94025\n4619 80371\n66794 80741\n22762 37309\n66171 94728\n92713 94831\n14787 20000\n60195 80332\n11663 42302\n62500 91819\n53756 71021\n6855 89376\n53442 93568\n14943 84375\n36281 43918\n34766 88605\n951 53541\n85287 98875\n86408 94312\n8532 69184\n31135 43833\n38145 72088\n64391 98262\n3078 45758\n28357 63799\n16930 64480\n42157 60024\n69925 98542\n18113 98115\n11644 23321\n6088 83637\n23792 79772\n8325 17918\n50169 51971\n38063 68447\n28898 79409\n4668 96453\n59914 63012\n42578 98543\n13695 51688\n3013 49483\n72416 97794\n42431 48056\n32714 56586\n50104 71366\n13726 73783\n18266 62011\n8163 52187\n4061 45456\n1155 48778\n445 83838\n24851 42118\n7113 12187\n31190 40757\n12478 49427\n13357 27012\n32653 65943\n16001 33903\n27126 59670\n39958 82116\n9855 92902\n25309 96566\n60002 70651\n43532 49019\n8300 17941\n71877 95639\n26458 51261\n31075 49732\n6724 98499\n22794 90651\n29100 29419\n52043 93366\n6221 16977\n71924 89393\n33549 69715\n55588 70650\n10848 98301\n72975 88050\n80239 90553\n21305 61308\n7168 37758\n3294 67426\n7395 76562\n20232 87152\n31325 47833\n28925 56869\n18842 54806\n11145 34023\n51850 56323\n15265 36877\n60966 89115\n16081 70346\n58147 88283\n69664 82662\n32820 33495\n79492 99495\n58166 90435\n18944 60014\n10897 63899\n47637 61892\n41102 67789\n55466 65747\n10763 12679\n62541 85812\n2868 15878\n22138 33287\n4498 36650\n41325 86117\n25293 68815\n77427 84680\n20882 22475\n41579 68594\n13044 66246\n37652 91022\n16692 58922\n79583 91999\n32661 59842\n57071 87482\n51456 59771\n16753 32838\n10290 43937\n11326 68683\n40687 89881\n28766 46568\n55637 73892\n50515 82223\n28651 30296\n38098 46749\n39444 43664\n98226 98386\n10602 89910\n30134 99981\n65808 78601\n34963 58549\n27406 33746\n82767 88779\n46352 87649\n17217 99472\n17097 90465\n68946 94598\n9522 84069\n84512 97957\n19566 44470\n77507 88037\n19547 93838\n6421 18389\n86835 92857\n45465 80443\n39180 73955\n65806 66288\n15590 37157\n20892 66455\n35701 44370\n19942 81491\n32626 80948\n65052 87325\n25876 67321\n32523 60685\n34177 37880\n63406 91296\n32549 75983\n61861 77492\n27863 56590\n56635 71652\n25208 25611\n29734 83921\n50280 83451\n3057 41630\n47877 87771\n8424 56878\n35875 57957\n22504 38283\n37474 85381\n30256 86227\n18197 54838\n49684 67859\n10634 64843\n84113 97762\n41110 78409\n83039 93879\n35542 86998\n30021 61843\n44445 66086\n18827 39062\n8027 91294\n19109 66284\n21269 83020\n316 35342\n82201 92213\n2288 19288\n80419 97590\n32134 78190\n20960 81106\n30577 67087\n90979 97858\n23507 66228\n5039 34882\n43553 75027\n4685 22873\n21870 60158\n4613 94689\n13057 23586\n8579 90713\n37054 86225\n28172 56665\n84031 84855\n8360 47840\n33436 57204\n96415 97490\n13221 72424\n59120 69086\n54614 79530\n35783 58005\n62111 98465\n68450 87753\n29904 59047\n55996 58690\n26286 52529\n50144 73174\n82622 94292\n10729 38050\n5142 5279\n4850 26349\n84284 92413\n73429 96719\n12255 36033\n33277 67221\n40217 96630\n14590 33289\n13974 27285\n38790 90428\n16625 19593\n36283 93401\n52153 52801\n73058 97730\n21956 94502\n29424 63023\n50269 71885\n16129 95745\n55577 77008\n31075 46209\n41683 59996\n93295 97580\n59582 79201\n33620 88404\n55663 56399\n24524 96343\n60536 91549\n36620 38084\n34667 78729\n5616 91076\n34870 80793\n46398 86100\n6969 92174\n14839 95917\n11410 43715\n10786 61238\n3856 51703\n29615 37453\n87120 97447\n41512 56352\n16547 95999\n9695 53014\n33188 64907\n4699 64151\n30570 57802\n57548 66458\n38710 53101\n62730 98153\n60163 98336\n12356 36827\n62975 79037\n69662 85606\n22641 62270\n10373 32093\n43729 91363\n38650 74652\n19646 28224\n34948 43022\n7610 66940\n8435 70061\n34664 39507\n34455 57589\n1754 36029\n31721 57616\n22740 99394\n24384 45991\n19141 38293\n28164 30204\n3984 55860\n8108 97053\n18972 50286\n34563 62634\n31693 94345\n1231 37934\n42980 54609\n38147 79034\n60883 78666\n675 55272\n45014 85176\n68237 70715\n73059 91377\n60791 95028\n54977 93201\n33619 43447\n71886 93506\n56621 59867\n47371 88525\n52906 72413\n77107 93635\n59902 66305\n43905 67175\n57740 60878\n15314 64339\n29833 31738\n14085 88810\n37083 63801\n25003 58368\n55584 71886\n4330 17325\n760 96619\n67032 83354\n37905 55496\n57290 69502\n6820 59681\n13968 59840\n19430 30956\n39877 92437\n18244 59924\n40388 51125\n73590 77625\n20388 88179\n2311 86448\n67187 77394\n79242 87682\n7910 37374\n10515 21444\n30556 97879\n53670 95460\n23036 35707\n84105 87811\n57801 58428\n3913 27519\n33793 63953\n14175 63077\n380 79854\n49050 92663\n2095 18599\n7393 89797\n69842 80799\n3749 67811\n28696 71846\n29794 81967\n12571 46075\n8807 83662\n21115 96995\n37919 94094\n9332 16381\n68958 87417\n71623 76645\n8151 23325\n52314 86669\n50276 97868\n28480 99907\n72577 88026\n82080 91913\n51213 73890\n54968 77667\n27007 98808\n28074 68985\n9792 93901\n20915 23549\n22287 25371\n91248 94823\n26754 49518\n39695 41157\n7763 43250\n6260 57095\n13808 17154\n80493 94437\n21279 89929\n26246 32982\n31502 45738\n54201 91139\n6878 30480\n37352 50026\n41128 46313\n39185 40093\n32842 66368\n74221 84559\n65611 86832\n4685 35070\n43546 73098\n3874 41825\n28586 30362\n9049 45251\n31999 51590\n18853 61234\n2368 72841\n47975 62844\n38379 68890\n38697 74099\n3222 82664\n1232 58607\n41509 69178\n22697 54346\n42296 44354\n900 52580\n18803 77086\n7527 64889\n28305 69950\n43965 95080\n65589 75222\n60613 92936\n57061 80510\n8744 56432\n3848 23713\n3025 66639\n19769 78171\n82407 99933\n49444 66379\n81603 85576\n38537 52504\n47868 65743\n34573 88360\n69237 73585\n25816 56573\n9826 19575\n25314 97588\n50504 81423\n13399 67438\n26835 75870\n60445 79644\n36660 89316\n70141 99376\n30468 80010\n18407 97438\n30311 81535\n18682 28857\n2325 72611\n28927 54742\n8191 23761\n61793 95370\n26557 93645\n28534 30603\n12611 64980\n56474 97196\n4188 35226\n47718 83767\n23419 75803\n12879 46927\n5953 40166\n4952 9326\n29804 57568\n2095 72461\n16694 70731\n11657 79285\n32859 90272\n1189 55302\n57716 74138\n77747 90718\n68848 83948\n90760 98098\n706 6465\n1061 29736\n31084 68907\n21799 46926\n39306 72323\n58495 90799\n43183 97152\n46478 80674\n49319 51371\n12061 79335\n41401 90511\n8494 47420\n804 3948\n1415 35883\n44787 59363\n5751 97695\n95563 98650\n4016 75238\n41214 50379\n30260 47845\n25226 88333\n19132 56727\n5474 28002\n9391 43539\n43747 95691\n8203 10719\n24537 94505\n36869 57244\n59004 76250\n53771 75776\n2676 70105\n51286 70774\n57306 88993\n54794 56261\n31961 41454\n14577 43996\n33134 64205\n74503 89312\n78987 92413\n4441 47191\n55758 73532\n10972 63971\n17014 89317\n33734 67597\n43793 88347\n44023 76437\n18487 62186\n25208 91813\n66250 94611\n7898 57157\n25301 48240\n34947 42852\n40084 40204\n50872 72967\n65777 99136\n8728 56733\n5591 24896\n67245 97590\n37666 51946\n30314 51329\n54186 73626\n48653 92889\n44920 50278\n74824 86777\n9058 64894\n27317 35800\n53762 77769\n42344 46394\n71261 74593\n6147 63521\n66229 74256\n71498 85027\n35611 67940\n7930 71280\n6739 29398\n91726 94626\n10790 48754\n24288 62969\n83756 90544\n9550 51399\n70569 83087\n69008 69058\n25495 44272\n31555 53941\n69169 99951\n32052 94493\n42787 74019\n7338 89269\n47609 62466\n5779 34448\n3699 65932\n18080 28163\n29304 63189\n9167 31018\n15117 50224\n2655 74063\n56666 77214\n19952 27247\n25152 97107\n65110 82767\n42799 88560\n33344 70746\n34746 73852\n24147 88375\n20776 88339\n16663 94462\n41375 51957\n43313 52918\n44332 99884\n25804 71084\n22350 44277\n52883 61954\n2298 72120\n80675 92737\n4210 77553\n46873 98763\n78078 98372\n693 34971\n7523 67214\n28830 41994\n81822 87483\n31938 78269\n14660 14874\n68910 90087\n1227 27305\n36845 90478\n16230 69649\n48708 92193\n1274 79429\n40666 65738\n50817 63905\n35166 48700\n27835 30614\n16432 74068\n37692 84776\n60269 62021\n7841 8693\n5909 23474\n9963 54469\n83089 83392\n14415 47828\n46135 60482\n11078 46771\n61753 74446\n19455 55858\n6667 17673\n48357 68465\n67101 69643\n77786 99814\n5048 13045\n82798 95462\n74856 92735\n13599 58213\n13785 93965\n12829 25532\n10977 94439\n621 51283\n30321 38217\n17086 21701\n10742 32459\n63475 78840\n2673 69816\n52357 68334\n10596 24321\n48300 54640\n16547 23243\n29539 42045\n28837 89360\n61286 81467\n2 31070\n36172 97285\n34248 50735\n6310 62241\n30175 83042\n8354 87478\n31594 36925\n73008 93881\n32844 82249\n62511 92037\n29111 96962\n30636 94364\n34034 92796\n50983 75259\n11491 78393\n39275 63312\n17165 41242\n56178 57637\n43887 78053\n32737 91758\n42847 71476\n4413 50158\n16098 67175\n45117 75539\n22204 87971\n49037 60722\n44097 94141\n43936 92144\n60116 65476\n33367 55834\n37818 71024\n12211 64406\n14489 41412\n61237 74747\n28636 80775\n29779 69082\n52981 96989\n26634 80938\n18523 73706\n26000 62305\n53496 63725\n7724 27151\n15671 52499\n66791 74490\n27048 47737\n34969 45322\n15713 38857\n51587 87598\n47335 58405\n21137 40601\n26453 76396\n65729 98398\n8992 75721\n55589 72291\n78655 95697\n7250 63170\n55693 79366\n63830 70741\n67206 79724\n10652 28527\n3483 40105\n43064 89839\n29008 55148\n59930 81873\n2451 61433\n56914 67403\n3428 10069\n58137 99952\n69611 84757\n19271 97116\n5049 41425\n11478 79061\n8796 10097\n38668 79822\n62216 96043\n86229 99550\n64501 78561\n33640 92161\n26101 93256\n32412 65045\n26303 95930\n68545 93543\n14513 33889\n52345 77256\n59671 97353\n17460 27792\n3313 31940\n21951 26775\n9767 71582\n5832 96168\n68700 94689\n44714 64621\n78134 84583\n5215 18109\n20223 78200\n35063 73958\n41913 45648\n1430 74860\n25028 93753\n7012 96478\n11355 77020\n27574 32797\n17258 57231\n7833 83144\n15385 17170\n58159 98991\n30594 63678\n63343 63409\n53983 57257\n25764 57608\n28295 68912\n41586 45565\n32479 55410\n42326 98886\n32684 58291\n45115 96890\n69752 88673\n752 9416\n16403 64683\n21814 38908\n61918 75869\n45090 84219\n7830 12442\n5971 55435\n29155 42701\n10597 62095\n39622 86579\n27180 57840\n76040 77976\n27364 27862\n32635 46074\n29114 98519\n2737 37111\n47645 57075\n87187 95860\n34396 70191\n95906 97280\n2918 71410\n38763 68859\n56669 72777\n11857 41740\n3089 35896\n32795 68130\n11529 78810\n36383 61069\n61961 99840\n46599 87250\n36651 38009\n33544 55865\n24357 33923\n52207 85294\n61290 86960\n67349 89534\n42757 49306\n64469 90558\n53821 60132\n32334 95033\n2217 91093\n23980 71471\n9558 83172\n13431 57493\n57045 86938\n68006 71835\n82701 84809\n35997 70446\n54452 72552\n44914 47258\n13974 20618\n57998 87954\n7516 41080\n10804 75391\n26070 70893\n17047 30552\n2230 63372\n38463 83826\n86200 89957\n6612 65399\n66832 71118\n29257 88683\n16659 51505\n32962 74387\n66214 70191\n16599 56519\n25082 38212\n36865 78671\n61062 99184\n48602 96532\n18685 62915\n85721 93724\n41355 78284\n8465 39408\n7836 8018\n33279 71202\n23310 71178\n50516 52502\n9686 88140\n8387 74258\n66443 81886\n10199 13982\n1374 38493\n7114 43636\n47890 75131\n3442 58060\n11659 64283\n27624 86177\n20400 64942\n21222 84654\n27110 78314\n70118 98833\n7690 98158\n35371 56908\n48170 56417\n15195 74624\n93310 97141\n35419 72054\n8560 16665\n2242 55698\n1571 59461\n28429 61064\n64048 92877\n52266 78578\n42309 70300\n64429 85699\n59220 77748\n31070 84225\n24785 31636\n35034 74789\n4610 70107\n25605 26088\n69764 86433\n93756 95124\n4191 92816\n84977 96666\n37244 46081\n26919 77871\n64576 76036\n78306 97122\n82437 97032\n31610 90820\n11583 47588\n27998 73506\n2957 58676\n14633 23571\n46192 94930\n392 72576\n57198 67225\n47117 74556\n23686 44334\n14055 65847\n19882 24851\n96958 97779\n51796 59900\n49738 92027\n21086 60378\n12825 62754\n17499 61485\n68708 88890\n76398 93221\n40933 95586\n25677 81564\n42930 83785\n50768 76364\n38877 70082\n29743 94212\n1673 9598\n22797 80005\n32275 77950\n60222 83905\n94055 96933\n36698 46220\n13749 30855\n67127 78739\n3571 33156\n53324 99655\n76310 92399\n23564 99386\n21057 97112\n57780 60435\n72368 86780\n25483 64601\n66915 72154\n17379 67671\n10919 64887\n14514 84522\n35614 44245\n39268 55888\n82496 86236\n36060 97801\n19499 36830\n55842 75278\n57660 95652\n39623 93672\n28234 80876\n14903 55031\n64519 84092\n38272 43206\n32400 35338\n35557 53615\n31459 62750\n49742 76550\n16712 25377\n10833 76609\n77884 86478\n36129 97366\n17136 51173\n8233 36265\n38150 53027\n26100 63722\n40788 42572\n22043 29726\n4319 66057\n40929 78237\n27994 79240\n78115 85897\n10876 65408\n21047 89018\n9450 65202\n25045 89867\n41116 57317\n56337 88405\n19992 27244\n36393 95913\n71068 77688\n89749 89963\n10556 58225\n27064 80032\n921 37433\n43958 64809\n68140 93834\n89158 91620\n59739 98296\n69434 77014\n27884 28807\n27017 78152\n49201 89665\n90829 92318\n9266 70529\n3338 48044\n88554 90503\n33463 48902\n29502 87022\n1950 56457\n82038 82131\n35752 57198\n84408 98387\n32751 82382\n35722 54462\n39522 58426\n12333 52555\n432 89689\n9914 55539\n7043 65378\n44018 96347\n61043 90558\n6832 39729\n13541 65420\n26702 87912\n37321 40275\n43765 56683\n662 77429\n25247 90824\n8138 53564\n18945 72857\n48650 76568\n32202 98872\n65969 91820\n16150 49918\n6473 22679\n24960 59671\n13030 21307\n3851 7695\n42775 49110\n74766 87362\n37650 91242\n31732 88692\n14404 16571\n26161 44986\n61324 63122\n31097 91034\n13909 16826\n52548 65846\n50084 57118\n49494 65132\n65223 71456\n61049 74604\n17125 41752\n39653 59210\n37174 91973\n8638 18028\n34929 63527\n24968 89292\n46198 77154\n86297 92696\n29522 50421\n6992 71043\n14985 86278\n71178 87662\n38221 42392\n67439 90501\n4784 50360\n3532 85209\n1979 75792\n27266 89415\n7949 12341\n22292 26196\n15324 44402\n5444 31207\n22002 77112\n55088 92252\n28768 40015\n17581 39096\n48664 91264\n9157 30279\n22506 78878\n37002 42292\n33837 51485\n10453 69016\n14357 55758\n59152 66487\n43176 71634\n62796 73360\n68091 82320\n35608 85978\n14610 57888\n36698 59928\n60932 82696\n49417 61107\n31373 57864\n47922 67610\n55471 87444\n29454 76374\n20114 83577\n9051 41043\n75213 99398\n19084 69381\n5985 84436\n85889 96232\n52345 54196\n48627 84894\n55576 95244\n16865 61808\n15477 31436\n22648 60615\n2229 98025\n49579 56188\n19176 46865\n72482 77186\n20259 22464\n2534 38683\n7399 71522\n35832 79226\n70427 95252\n31984 54786\n15504 45321\n27663 59456\n29034 76069\n23776 81595\n34721 46860\n36475 63485\n36501 55840\n28009 53040\n42424 43825\n56380 65385\n32453 47778\n11419 59638\n44618 60968\n30762 43944\n20192 64600\n68255 69021\n1429 83621\n1436 77523\n4328 81072\n57570 93326\n24981 25325\n24590 37960\n23515 25217\n19366 89481\n37895 69435\n61513 97818\n20464 82077\n4839 80560\n20025 96920\n16874 91591\n11842 70571\n6471 15011\n22797 39548\n45796 58588\n12501 29549\n37601 52612\n16673 93859\n72411 94432\n20451 47531\n39904 41328\n12726 22820\n81255 92563\n56866 67638\n34118 91875\n53544 99945\n22481 36561\n3253 94214\n9942 41884\n36263 59257\n72267 74427\n89386 96362\n30401 35976\n39370 48934\n22930 76547\n42288 91218\n3545 48571\n6459 21550\n41097 92852\n24695 56161\n12971 70787\n46769 53795\n31828 72017\n30095 91740\n42134 91708\n52689 70009\n44115 58937\n41646 71295\n25427 55623\n86530 96401\n5953 7385\n27453 32456\n2365 71324\n12394 91300\n13268 29970\n42790 54259\n26086 91647\n36267 85734\n24221 27846\n40080 70958\n68000 72990\n23648 90577\n82468 93202\n14530 26867\n21815 87290\n25385 56824\n27751 60165\n35119 38707\n28042 65678\n33375 35342\n4492 52689\n3694 73221\n12044 50623\n9268 57537\n31475 76874\n26640 87019\n61335 83179\n5930 15626\n22287 96569\n24751 97570\n37466 47158\n26815 31753\n85654 99434\n69777 72526\n21516 77001\n33237 58931\n1095 12259\n259 15933\n9440 41603\n57056 73569\n70613 76540\n55037 59464\n55266 62247\n39556 64212\n42411 93165\n9765 38354\n37794 51823\n62712 75054\n46064 56041\n24944 91816\n56391 67285\n47843 98711\n65769 72226\n2675 31417\n57537 90066\n39090 82210\n57938 96118\n40910 73466\n42659 83296\n18788 40131\n77526 97273\n6344 45559\n12848 81929\n27096 54654\n44443 48203\n77895 95467\n53858 99871\n5565 13140\n45413 69778\n9157 50992\n57425 83997\n6445 41538\n84879 97416\n53556 57900\n11289 76455\n58781 75657\n6318 69503\n53675 82269\n764 94459\n61781 98929\n14272 54365\n8215 63677\n29536 77992\n46624 60221\n9981 96963\n4324 5527\n38387 78174\n18467 81152\n48277 77033\n82363 84267\n63664 75033\n2921 13438\n23707 77169\n40840 82153\n61329 87134\n57479 75402\n24117 59890\n42808 85058\n41615 70619\n12219 45057\n63200 69064\n22606 73161\n9309 70904\n80616 83314\n26821 89570\n25674 75845\n35027 59798\n22247 80313\n41518 58903\n62 10332\n73372 80558\n60313 67342\n42984 91855\n44210 67796\n18374 57465\n29431 55311\n5906 56730\n11265 29465\n34807 39532\n35496 38319\n43554 63515\n88958 89136\n10098 57944\n70719 98990\n77560 94198\n28194 54611\n23495 43172\n6285 76688\n5796 85867\n11547 61110\n39320 76210\n9210 51680\n54980 89728\n7893 53207\n51061 68348\n3365 61558\n41828 51971\n36953 87947\n42221 50761\n15309 32776\n69932 72084\n28761 38755\n35014 66083\n377 8471\n15436 59092\n43833 87485\n53751 81661\n46761 81498\n25812 57835\n43349 49146\n12899 99635\n4219 34776\n4911 24474\n14354 62320\n52331 57916\n6740 16675\n16222 82182\n15195 85046\n19934 45870\n45862 60164\n9701 24680\n34165 48822\n1581 36338\n95 76200\n21328 54215\n23038 98047\n94543 95245\n53495 84921\n16813 42116\n60412 73500\n49299 89392\n52610 66580\n13560 80127\n35196 63266\n57654 62164\n55639 60916\n34984 42277\n67393 82109\n19956 51649\n48561 95879\n67218 82857\n22368 42447\n74599 83053\n38624 59194\n65066 68819\n52776 93867\n15357 92894\n47236 92428\n70900 73236\n43719 45829\n16768 99778\n18284 98736\n91404 98950\n10605 86463\n35784 98045\n24682 90389\n3010 41299\n10602 99302\n26067 78616\n54938 98125\n5376 56788\n26822 54018\n54315 94196\n40248 86527\n10449 85471\n15312 39216\n56048 71626\n67996 73298\n5018 7512\n78985 91713\n62117 72518\n2289 57477\n7869 89138\n41484 92316\n36544 86654\n87206 92581\n82511 90567\n51450 83400\n33421 86024\n25051 30772\n7907 49599\n25881 44732\n4944 42926\n30696 73546\n75168 75589\n32270 71004\n60880 77566\n13624 49283\n70523 76515\n3651 53492\n21360 49327\n30586 85984\n8701 24754\n54404 69212\n5655 70468\n25034 75813\n56077 83276\n15578 33951\n3988 57631\n36038 55012\n21677 37395\n57158 90538\n43112 95699\n81411 98569\n21433 58071\n30831 42583\n33014 85208\n11348 92736\n70373 72394\n3414 48789\n66645 93752\n69966 97307\n67700 97515\n57500 80247\n34969 68725\n52621 80875\n18850 44830\n20262 88030\n25156 55591\n6812 31933\n3062 6146\n12310 60715\n45833 92340\n88286 90537\n61059 62704\n14704 57369\n27255 68712\n74679 81090\n19716 97731\n20671 30905\n61524 83764\n36544 60979\n18972 78585\n49933 77181\n34277 75165\n38530 48722\n91477 93498\n44062 53624\n42584 58135\n5318 49474\n47797 77919\n12421 21680\n71034 86815\n6020 64581\n55803 95122\n42592 73439\n19384 44215\n6338 90913\n39091 43338\n71001 94218\n43029 88111\n88711 98203\n79872 90699\n22289 51430\n5606 70025\n17861 46844\n24279 77403\n22331 96574\n22984 54184\n17142 61864\n36535 39945\n2921 76364\n28129 28187\n9348 40390\n24149 28073\n38793 50532\n4083 25991\n39706 69595\n29681 88861\n24236 26973\n69929 71009\n38625 60803\n6383 31329\n15731 37979\n23334 31645\n28444 47404\n11659 14078\n25225 65636\n20368 73695\n21159 80132\n17498 64584\n7916 24688\n75925 96255\n32068 78482\n41428 82897\n41692 92891\n41580 70373\n26066 26544\n27100 38245\n5718 17594\n2156 42237\n9329 47943\n38683 56943\n8511 84597\n71743 98326\n6448 36240\n89520 97034\n42949 63709\n65327 89385\n67578 68268\n55683 74432\n30895 63153\n38382 69897\n31278 47269\n35049 43402\n16103 67846\n13352 51930\n74324 75434\n20498 52032\n31807 92563\n7269 36447\n54927 74142\n7533 55465\n31509 72560\n25444 30493\n8657 98220\n84212 88641\n15119 74341\n48043 91640\n20981 54348\n10239 71344\n22538 25047\n14891 62355\n14250 83967\n22705 42866\n59925 66587\n45522 54587\n43254 75956\n28448 48594\n77227 95727\n10240 32238\n38402 69487\n60116 88777\n34151 60066\n4991 58773\n16547 79218\n23940 86186\n4115 17631\n38968 69264\n11317 91139\n41934 60869\n1223 92336\n8984 14079\n61077 68467\n641 96394\n24064 36583\n11171 76708\n11483 66149\n45911 57181\n23162 37632\n31472 38076\n44710 68156\n20587 69656\n68421 82008\n7619 53051\n6451 38224\n45802 50625\n32965 60108\n62294 63212\n28849 99819\n58768 87326\n1806 71694\n43343 47392\n17305 28415\n16925 43102\n53868 83147\n21315 28320\n18655 80077\n38843 72442\n32111 61708\n32854 40177\n36374 71712\n68715 94560\n8106 21996\n75308 81600\n20025 86512\n39582 56387\n44060 84067\n15323 44164\n16476 37125\n12274 44983\n91202 92608\n9738 55489\n19476 80213\n77110 86361\n4922 18121\n9443 24670\n32753 79364\n4538 86626\n2788 60121\n22170 25440\n1685 90791\n7614 46836\n11296 89687\n68332 86977\n16793 94810\n73299 92279\n31662 79049\n8865 19695\n5108 61592\n19793 81434\n28020 54813\n48360 75003\n48825 80647\n23843 87666\n29651 74812\n51220 54666\n18770 70688\n73349 99798\n72672 93474\n55794 58829\n29671 73908\n19702 98810\n43836 55928\n11965 68389\n28608 67575\n87601 93053\n56511 89350\n42953 71272\n598 16383\n34513 64314\n23616 44618\n87277 89156\n62425 99533\n22243 94086\n26521 97472\n21925 34848\n50835 54300\n15809 95604\n3446 40708\n22951 46588\n56245 70481\n32032 42864\n31964 86007\n68368 85886\n10062 28937\n9046 78274\n65315 90587\n33994 87096\n20166 60236\n5067 83458\n47221 59174\n8433 45165\n3967 51999\n7050 51096\n47531 62218\n42358 51700\n59902 63861\n11553 30477\n44009 77828\n13939 15677\n16082 28568\n22216 81885\n1674 74600\n45918 99194\n70415 72734\n34958 46113\n54026 61692\n91323 92703\n21015 32768\n67877 92711\n18885 24578\n26213 44149\n45541 69847\n2316 53562\n14069 51729\n36455 85189\n83942 91888\n26985 69196\n54191 63207\n87623 93289\n789 32567\n362 88568\n11708 87853\n35198 66403\n54217 55836\n34926 55804\n12353 45958\n77206 85045\n47085 88075\n2729 19955\n67890 69029\n17409 91778\n16132 84163\n36550 85409\n69194 83492\n4975 59096\n44899 99226\n15049 84583\n73882 92859\n32001 47606\n11473 71862\n26686 97779\n1899 43567\n45399 94669\n11803 31985\n3178 98691\n402 20263\n32482 76989\n6637 78862\n8994 15333\n29951 52398\n12684 75053\n9953 97502\n31988 64684\n52633 78570\n20120 30527\n32243 94658\n73924 74921\n25499 41649\n13676 17519\n9102 90257\n15080 46987\n61628 98390\n35997 96267\n54555 57326\n40760 51592\n5311 25218\n41784 77220\n402 78317\n23417 60669\n68529 93072\n35862 37200\n77 77996\n63943 90567\n18748 39899\n8708 39965\n81097 93368\n16311 36450\n41613 67804\n4000 29287\n6689 97499\n12860 49578\n9889 67232\n65320 69105\n97 80952\n60071 83430\n80014 90200\n3838 58194\n16977 74611\n32720 71107\n16576 55394\n30770 59811\n72640 91022\n31488 99317\n1142 9646\n11188 73084\n56720 87347\n5596 44414\n79930 80186\n11658 88708\n25390 75666\n41579 68773\n8707 93748\n7891 12939\n40089 89763\n5312 91731\n1568 26048\n19235 74151\n50353 70886\n30130 58824\n53186 74053\n34581 60419\n74028 91504\n71939 90474\n15278 90911\n16664 18570\n9515 16208\n29870 58122\n48076 70408\n18945 79313\n40594 66010\n53639 63373\n76490 85769\n39622 87074\n33789 94465\n1547 13365\n3464 42422\n31190 70688\n13305 58673\n9230 52861\n9555 93467\n33791 60128\n47593 82334\n10701 13854\n12064 56231\n26873 44193\n36815 43804\n24874 58658\n21164 24006\n93827 97496\n33714 81497\n11745 18001\n55827 63506\n2617 9270\n30025 43202\n46227 81487\n15588 98773\n13425 34012\n6209 59845\n19684 73833\n12810 78867\n28887 96615\n21921 31251\n27900 57988\n88888 91974\n35226 96582\n65035 86747\n31208 44558\n6097 18496\n29104 29426\n21115 61630\n4919 94753\n34605 75366\n981 30017\n36237 87598\n55983 62504\n22949 27944\n23415 91347\n18156 85676\n32482 82868\n5627 73569\n14219 22107\n15871 67332\n50612 52863\n25805 67665\n42574 57524\n16423 87243\n26728 53139\n23111 47589\n47451 87619\n34345 92945\n47137 90374\n12724 26787\n47851 82816\n40852 89118\n15046 28249\n10456 30200\n63635 68212\n28440 44793\n25666 89247\n9658 55869\n38117 39801\n33199 63834\n62633 96587\n23708 46634\n18585 88852\n49168 50132\n17818 72500\n24085 41250\n12404 69917\n7906 42099\n44793 78067\n52597 91609\n55626 91396\n34203 77040\n11334 44998\n184 63136\n34491 39989\n20642 45544\n28500 67237\n2036 14559\n3640 60855\n4028 14131\n35585 81383\n2145 9738\n3791 24763\n15124 84820\n18520 56865\n9294 99020\n3236 92302\n57032 82431\n75458 84031\n63775 92023\n46440 52378\n47889 90031\n6384 59724\n33860 97455\n27750 52645\n54846 74732\n14495 87772\n10337 22189\n18953 65197\n25021 58923\n72785 94842\n89415 96925\n45861 99504\n11640 54361\n6986 75428\n14180 52181\n5343 72463\n47453 90818\n43800 53710\n36753 63352\n42770 87744\n14081 31980\n673 62973\n30297 53891\n75895 81354\n176 54517\n24948 35163\n63100 82357\n22388 61467\n40444 71821\n16868 91279\n45229 46064\n16552 83181\n16609 66946\n24626 67534\n45028 63549\n24727 47915\n15585 29535\n6119 53259\n28797 57446\n790 65338\n26108 93702\n1059 86148\n21879 78525\n34924 57727\n26324 62149\n8126 37404\n49862 54762\n13765 49695\n16892 99308\n82838 85998\n61404 66203\n25794 74352\n23512 26513\n3950 13555\n5625 96595\n63188 81696\n30042 88041\n28859 98209\n33254 89821\n47221 77917\n11041 23939\n58127 84822\n11269 93656\n34179 83402\n30652 81108\n30283 47465\n11384 89403\n36217 65371\n40609 53415\n25488 70183\n16989 34227\n9163 33555\n6397 95001\n6277 85660\n37169 51531\n33527 39528\n66255 80342\n28484 96711\n36850 92082\n10535 98099\n57696 99791\n90888 94987\n90351 91711\n4638 51951\n67915 80296\n10795 26729\n2795 12082\n1470 59305\n8496 29557\n63031 78786\n14712 48496\n6985 86675\n73501 93444\n2791 59947\n35372 99465\n19420 61121\n6464 56044\n42489 99470\n80628 94364\n14276 61736\n13039 24739\n12787 39784\n46160 96512\n43272 56139\n67727 90610\n58801 97200\n26117 65620\n10768 28515\n64298 84235\n3414 16235\n66566 94375\n13706 86845\n26970 43383\n58714 59120\n80855 87251\n11730 49095\n44168 54164\n69754 82205\n17462 47428\n40228 89330\n59465 73504\n2835 22934\n30275 65809\n43564 90378\n63196 88425\n5590 82118\n951 79822\n25031 82556\n5960 59952\n38510 41523\n7114 88350\n55334 80324\n69022 87833\n15026 87214\n61647 95599\n41529 73062\n21005 86357\n7068 67084\n62877 91357\n31161 75837\n27221 72311\n18161 77846\n17207 28641\n56181 95951\n31047 66205\n6010 29429\n148 85206\n69690 86443\n31579 43749\n2481 68989\n12801 52810\n7324 50300\n50352 76322\n27321 31267\n29653 48377\n4873 36866\n55152 59210\n22990 29257\n21442 52875\n18349 25601\n30303 97030\n53770 99210\n38470 66793\n39336 95312\n4526 11038\n62827 77081\n17123 74506\n28281 57272\n22119 73963\n71311 73974\n45101 94375\n27837 41157\n28837 62384\n77218 95867\n3076 67359\n8422 22385\n61734 62166\n23191 36685\n58254 73637\n52602 75332\n36599 40656\n36486 59002\n81839 84630\n14753 39325\n39550 42623\n2027 78845\n3103 66009\n12023 24263\n247 89855\n13286 32657\n38690 76636\n13984 32515\n26285 91919\n16700 50260\n66522 82730\n38158 99481\n45039 84063\n78167 99735\n47968 71575\n57620 88714\n84877 93357\n17613 24560\n32973 37363\n49143 77316\n17901 47012\n43238 44157\n9226 97510\n926 7141\n68574 94785\n33196 80460\n36307 45069\n15823 24185\n30305 53278\n9202 38397\n29638 67379\n36878 65355\n28301 71261\n34022 66026\n73099 75344\n15564 31250\n41776 65210\n8225 50382\n28937 56569\n65905 94820\n1764 83824\n23427 48499\n73392 81915\n57586 92128\n71221 75015\n48937 88686\n11789 12745\n25978 60339\n85779 87601\n30102 98288\n67131 82624\n3294 50740\n14551 25767\n42295 66143\n25902 60822\n33088 67351\n34608 92435\n83808 90156\n15324 60635\n20939 77879\n63366 74811\n59708 79662\n44422 75689\n5045 64820\n47310 96024\n17119 90862\n60694 69442\n31433 82061\n2646 51046\n2626 20436\n64845 67856\n86551 90389\n46380 97440\n30467 74751\n32326 87925\n24930 64300\n81550 93586\n4087 80510\n9923 10180\n40997 49788\n17338 21844\n23142 49731\n27793 76497\n50082 62707\n44786 93939\n22755 88480\n16802 91010\n28688 57394\n54823 94205\n11703 95958\n5434 85248\n77037 95190\n47430 55283\n65874 96752\n58856 98167\n13114 95780\n7194 8261\n14725 93924\n1403 19229\n11293 75480\n15326 60751\n51897 79401\n3397 38609\n20328 34875\n49675 66024\n9201 88621\n38334 76842\n16468 22731\n60212 68920\n61193 69828\n51441 77939\n44128 56749\n96701 99715\n18023 44463\n29493 85615\n51487 83597\n7656 68126\n29754 88250\n31095 91484\n43576 64244\n14665 79217\n9555 53412\n5329 25697\n2333 54480\n42080 52508\n13706 15785\n21828 78185\n36171 44917\n92757 96318\n71220 77890\n6101 80353\n43061 84796\n50520 81151\n71641 90427\n33435 79016\n2668 86588\n76129 86161\n21054 78418\n80287 97946\n46355 54560\n43527 49202\n45840 52533\n15392 74360\n54710 61163\n86703 88408\n37360 44354\n9664 69755\n49065 79379\n1819 32375\n63947 70691\n44032 49973\n77634 79320\n4567 91154\n12106 83503\n43139 46125\n32881 64478\n35795 43686\n12399 25158\n11364 29998\n6183 77852\n14841 57309\n38212 74022\n17741 54012\n25424 39265\n12684 30617\n1421 64908\n4520 21393\n57061 82228\n26350 37883\n16655 74741\n28393 99989\n63973 73348\n87061 97926\n14975 64084\n3167 63361\n26925 47889\n15369 40214\n64005 81699\n54514 83287\n19250 75480\n35071 60504\n41532 69766\n22823 26974\n45140 67489\n50681 96614\n31788 88056\n32300 65449\n11711 33849\n16837 69361\n47392 65330\n19268 69826\n54120 74994\n2893 84368\n44486 51355\n7859 36845\n27469 63854\n27450 33242\n48334 99628\n32167 92641\n17280 17837\n18934 51777\n21705 84835\n44896 47661\n49913 66611\n13807 77759\n48439 83576\n53442 73850\n37984 48804\n25456 94377\n4007 36987\n24581 30995\n21339 72682\n57974 64825\n52538 92634\n51998 93723\n20803 66900\n50489 88703\n43267 77844\n19320 52865\n44820 64738\n41302 64813\n15365 63633\n29619 90545\n2197 42226\n58209 81853\n47039 83815\n14651 98566\n57953 71007\n58145 71148\n25100 38902\n22440 83348\n49879 98366\n37069 83850\n19915 34038\n20080 39437\n42 77224\n63339 66983\n6265 12970\n57221 73329\n28678 59621\n19868 81770\n437 95211\n34423 58182\n12074 70807\n20020 95532\n63712 97580\n1751 24410\n22055 84671\n15776 62491\n37021 70691\n13399 80577\n24179 66045\n9082 11973\n17005 61959\n27493 53662\n67533 97987\n11607 41586\n11740 35689\n16630 76086\n51470 69770\n21081 68556\n45063 86677\n44878 59864\n88541 94147\n13599 14046\n70161 98713\n14681 52432\n6470 81412\n9285 63546\n3818 4034\n61701 94149\n1444 26503\n55950 94491\n36386 97515\n7311 50834\n43518 74092\n17197 85808\n20472 32948\n11969 59486\n49427 69080\n31451 73031\n3694 89162\n22700 42881\n267 26733\n48991 81392\n5979 93807\n28775 63184\n46292 58329\n74094 86061\n32698 59889\n24619 30815\n39206 80161\n17414 58917\n23307 33117\n22536 61921\n38153 83628\n58328 91287\n10241 15742\n86294 86702\n76644 85642\n12391 29870\n1525 63286\n722 9134\n13209 27554\n9954 42849\n836 28316\n1531 62015\n43561 69291\n4756 59644\n39738 78658\n19092 81630\n79001 87443\n3713 99783\n17630 82421\n27943 48051\n12751 59985\n32157 57417\n59509 62629\n9334 54569\n77 42081\n73279 97551\n41373 70228\n16121 37267\n26108 65540\n47066 84064\n21407 30474\n39451 82044\n50334 88992\n16276 76283\n63590 84051\n1874 40055\n22412 69300\n2808 8057\n451 23609\n49362 69657\n948 9281\n53485 63651\n33806 46441\n33358 58032\n6425 20936\n4942 98290\n34086 35700\n36869 86557\n27405 36167\n19055 89784\n51838 94083\n78853 80312\n50943 88215\n17251 79190\n32456 52755\n14635 35153\n28929 40465\n283 86588\n19055 24743\n22247 58247\n20743 82172\n80217 93154\n34877 38268\n18742 19382\n587 84306\n72280 79228\n43074 97412\n4801 13256\n63121 69112\n3545 11334\n31649 46827\n39610 81113\n59416 90631\n33614 71525\n68808 75961\n18457 19200\n17427 89180\n29153 71682\n28950 79225\n61757 85548\n31996 45201\n13191 27022\n46153 65936\n69058 79142\n9637 77165\n85625 90062\n69556 75439\n67157 83804\n34420 87149\n65983 99981\n27620 95106\n45028 78365\n74346 75992\n16066 19418\n8070 42841\n46330 71635\n49921 70933\n24814 27542\n45163 77585\n16648 73562\n68 5395\n8569 30220\n10881 51048\n4608 41647\n5274 32605\n12269 26016\n30011 36120\n39517 76350\n967 46303\n8842 28825\n41357 63782\n45045 85559\n91076 96875\n28378 45317\n13418 34193\n61517 86106\n54515 84891\n49094 76323\n49991 92188\n15123 38472\n48618 70165\n61317 82150\n65208 96239\n3892 65013\n1159 62983\n38130 47145\n37688 69413\n18643 30496\n21959 21967\n4041 66641\n4268 24036\n52391 82316\n37023 80747\n81026 95070\n46890 50754\n21335 80159\n14007 46789\n29093 75490\n18135 97936\n12766 62061\n68808 82884\n24324 80898\n35249 43305\n66783 94161\n23117 81725\n5488 23351\n50335 86791\n72173 97794\n44928 56032\n62589 65084\n10091 80977\n44554 82462\n12169 96718\n54965 91586\n9170 92314\n15462 77668\n27501 75341\n21223 24883\n6923 8206\n51129 80979\n65391 89054\n25843 73129\n2751 53621\n8758 37049\n22186 87163\n48140 91215\n20791 48670\n66393 81604\n39549 40795\n71704 80814\n1925 50898\n12169 40049\n50071 90955\n19674 26706\n9503 18477\n36696 51705\n75230 93293\n57218 62947\n30633 43388\n41789 81570\n2521 75642\n13029 72090\n23835 77954\n26102 67796\n71688 95130\n15871 70230\n7657 47345\n1042 34147\n17601 30530\n50539 75358\n27964 88858\n24649 91116\n27639 75554\n39689 48791\n8800 44729\n36015 81912\n51508 96874\n79973 97974\n22567 78431\n46885 50108\n34956 57054\n5244 7630\n4859 7801\n25431 30415\n28366 37988\n58814 66988\n27385 83591\n42938 78396\n70835 78263\n41148 80778\n86538 91106\n32581 48515\n42986 73351\n52772 68289\n64333 91621\n39906 80414\n2250 59813\n7042 48494\n13957 65718\n74017 78348\n5222 10601\n5801 68675\n76208 80915\n24246 56768\n12866 26788\n56815 89653\n68533 85126\n846 13689\n24789 72495\n39501 79307\n68299 92552\n34943 92660\n38841 58729\n39672 85277\n51770 56137\n78388 92665\n5948 67328\n25199 66280\n53717 61168\n46298 64802\n13436 97621\n462 34720\n25339 37988\n12474 33213\n60786 80535\n69563 74994\n15457 26468\n13020 31119\n19467 35025\n37037 77208\n19316 42912\n11149 65535\n18670 97888\n67523 76017\n41208 62474\n13689 99962\n1226 28733\n5194 17514\n22729 28194\n87017 89908\n28786 83811\n10113 72015\n45844 60019\n39864 43091\n13931 25270\n3004 33916\n19539 96147\n52985 82690\n41046 71116\n15259 76510\n27035 46914\n17824 45478\n59950 86958\n2722 3029\n29010 78752\n68686 88031\n29400 70805\n63853 86486\n32151 34519\n24322 53743\n91041 93142\n40403 41866\n14609 55164\n78178 90010\n77828 95644\n7944 71370\n6843 97089\n812 40630\n28016 69437\n54516 93636\n72226 88610\n28966 39526\n25024 91228\n24340 75611\n51491 72776\n58878 86206\n21854 22333\n4251 78179\n39544 89571\n66907 87206\n14273 99888\n44855 70043\n64385 99811\n93191 95611\n10040 61169\n17331 53597\n9830 58005\n22949 30344\n93731 97775\n52912 99562\n24864 36499\n70147 78306\n34567 73956\n34207 79529\n37702 50183\n39480 85888\n19772 37143\n25655 89654\n1461 53056\n564 1973\n10580 67821\n50040 93337\n32063 68087\n13237 56450\n38131 96888\n28018 82624\n24560 87272\n54536 76396\n45609 53742\n22318 93404\n8835 33758\n20542 31393\n29297 63020\n72087 77446\n9323 62128\n25273 56348\n42806 67241\n64141 85052\n9101 87262\n51827 85223\n38156 39336\n31633 41540\n20783 77919\n3610 86971\n2448 17491\n10978 70754\n43720 56627\n856 21199\n85951 89396\n22654 42898\n34528 65735\n4426 95156\n34195 42106\n87029 93151\n37793 97711\n6066 98482\n548 46052\n11067 22009\n44579 46041\n5946 86582\n83906 89096\n44444 58921\n34432 69431\n64960 70431\n8069 58897\n10408 55136\n47197 55006\n50083 75950\n37069 59804\n60594 72396\n2436 75656\n67970 83221\n44412 78752\n51044 74633\n13113 67182\n17689 17862\n7635 34006\n35456 93424\n15104 60043\n39117 40164\n22633 24605\n13554 71297\n40716 99344\n52896 77789\n73995 85885\n7811 39950\n78969 79007\n16875 92727\n13019 36849\n40415 59016\n30071 75335\n6250 30773\n31599 45839\n27232 58693\n21201 35006\n4392 91232\n82064 98852\n49952 80917\n49630 56449\n33295 72657\n70227 85262\n88190 94295\n27932 96125\n22322 26643\n41637 86463\n86536 90985\n87835 97985\n1627 84093\n6123 26849\n36932 43417\n36854 61824\n52973 99920\n56120 83542\n23280 41191\n33883 97827\n74997 90554\n14165 61777\n43980 74038\n57918 74278\n562 62038\n19879 23019\n16084 91409\n19553 55608\n20929 62468\n44733 98092\n9275 59039\n2680 84539\n5853 44007\n33241 92884\n72300 78965\n25958 79795\n55542 79906\n50593 55597\n29853 80689\n17052 48871\n564 86292\n62910 70289\n6170 83855\n60526 80563\n19092 73823\n8594 15466\n63684 74074\n16243 96838\n6931 25790\n72687 78661\n70424 79527\n65640 82700\n34119 36951\n49974 63992\n22797 35164\n5457 43450\n65648 81396\n51538 77185\n34675 62528\n37712 67951\n12005 87678\n39010 62825\n1231 94074\n24275 89390\n19359 27394\n32422 72147\n48355 90532\n37410 76450\n6989 41277\n37738 53244\n17010 75812\n52336 86894\n63010 79871\n77332 81645\n30774 41179\n63431 65604\n55339 91293\n53000 63601\n77809 83530\n17075 43502\n67540 83938\n64258 69680\n40550 79292\n20140 98192\n7516 94534\n7290 82253\n18374 41975\n19355 71075\n16721 87918\n48287 99704\n10726 33893\n44125 90868\n13921 41906\n31262 53611\n20973 84302\n54855 91827\n53386 69894\n74610 76648\n5738 88922\n42731 94306\n26953 76042\n49738 93130\n27408 86346\n36282 95796\n9247 16255\n66625 83386\n45290 62067\n12488 82409\n42735 65962\n24468 93470\n10102 86149\n61943 64377\n32846 65660\n69950 94031\n14083 31379\n2679 48324\n39296 99348\n55206 97923\n25776 37152\n13193 64346\n88820 90632\n45845 48491\n45235 84787\n57338 58947\n17822 56426\n25057 46924\n47577 68739\n56587 97211\n44631 79463\n19183 77142\n11060 73790\n78933 81072\n39055 95021\n39610 71106\n52450 61317\n35162 92172\n78748 98503\n66147 86515\n21421 88718\n52966 62762\n57607 69180\n48365 94956\n19012 83464\n15595 49532\n85780 96193\n2489 16576\n82218 84038\n3947 75047\n52241 70933\n40559 48781\n60256 72930\n15533 64081\n52650 78904\n14366 42852\n34883 47634\n81513 82316\n27804 70340\n11173 30838\n74333 84768\n30542 75766\n32490 50840\n52107 71006\n27740 50726\n10188 62217\n10072 98610\n16930 67977\n14801 50286\n13879 99265\n16765 21970\n14609 42510\n807 26774\n292 51369\n21438 63740\n9536 75077\n13891 45364\n59111 59956\n57476 78472\n115 76793\n74693 79433\n10634 71707\n53909 87597\n94973 95195\n39919 69408\n18304 25212\n4800 7235\n83073 97174\n635 11928\n44865 61342\n16526 28025\n19154 84278\n92091 92628\n25158 26556\n7267 38460\n4385 88292\n5132 51580\n5376 91355\n38820 65365\n78631 85057\n45843 69901\n30242 45897\n31147 95284\n42418 92687\n18026 65658\n4054 79673\n23218 34605\n28422 87623\n9222 11504\n13147 74420\n43790 79065\n9988 34532\n66464 94501\n42046 98216\n19570 95901\n1049 96999\n38836 76543\n17745 35146\n12436 32790\n19693 92365\n27155 67737\n46091 55609\n74946 98205\n29636 90778\n48198 68740\n10399 60469\n39988 79834\n11495 32679\n17668 30664\n8645 45005\n11313 64617\n20073 29662\n2767 8952\n30816 47326\n78545 94080\n1065 97482\n48002 66876\n384 94681\n93630 96458\n13377 98375\n49313 91802\n12928 21331\n70454 89249\n37181 81282\n80174 86483\n44308 89992\n11698 67344\n41967 68576\n3868 4967\n2001 76160\n62190 98109\n47175 65261\n60248 98063\n1189 94698\n79727 97541\n49019 60944\n7789 42978\n3040 69757\n22522 34941\n84783 92913\n29783 56863\n36937 90039\n57586 77133\n27842 50480\n68996 71873\n79889 97526\n70887 91306\n51867 53321\n32236 84570\n37239 45532\n57981 85821\n31606 49499\n55816 60845\n88138 98509\n43719 94968\n61937 98841\n62679 70856\n6894 49727\n3654 54433\n25093 38272\n43531 68552\n14296 77971\n31475 39784\n12596 91166\n30664 98687\n54012 93479\n83957 93536\n60834 92573\n71100 77673\n17064 76705\n54971 91249\n16905 56617\n31227 69947\n16795 99067\n8986 10995\n7267 27911\n65613 91043\n77307 83285\n25635 99533\n14152 64659\n8334 91865\n31462 61203\n47148 68104\n71231 74702\n5721 84328\n14337 92593\n12384 16419\n13369 56865\n18531 82895\n50163 92757\n15252 51411\n22929 32579\n18909 90212\n22424 76123\n5306 11132\n71858 73107\n39932 57366\n580 5061\n13190 80736\n65680 68867\n74369 82884\n546 11650\n64087 64517\n58962 89978\n893 43179\n56041 70219\n21617 27879\n10618 89423\n10569 93525\n87464 91074\n44416 92980\n54460 90181\n16543 67506\n87751 96644\n35606 41575\n84084 96153\n30161 61056\n6859 53560\n27770 51864\n36283 53829\n36441 79575\n70871 80432\n9433 95395\n24841 97321\n23147 45509\n53750 93456\n40396 52873\n56822 67840\n71991 76567\n5345 14563\n11662 15547\n1796 53313\n6563 7807\n13065 15210\n16266 37104\n43834 54313\n72270 89205\n49678 52058\n64399 95620\n32216 53924\n34020 57877\n38188 96209\n12809 22510\n45446 79862\n20361 68359\n54878 80213\n8836 69596\n55813 96556\n51077 75647\n60312 83305\n20649 76581\n3508 48041\n17274 33245\n59501 76813\n10360 49511\n4164 76420\n51460 68900\n910 57969\n59788 87252\n19961 50724\n26673 47438\n70956 78444\n22888 25418\n92819 94183\n39134 83069\n13207 16417\n40537 65215\n9356 45478\n53744 68904\n410 2898\n25763 89736\n42282 97359\n62174 86005\n2634 93824\n13867 99666\n60918 66023\n24079 63646\n17520 73422\n23806 66013\n17910 77905\n22558 58760\n49378 67852\n19169 58110\n32472 62448\n83917 94009\n12427 13844\n58079 97562\n63565 78728\n32195 62723\n18494 63594\n9786 25489\n1833 42666\n39576 54995\n23627 80538\n2745 12804\n19535 63246\n7282 74400\n17250 71824\n18936 38993\n3907 79996\n7372 16163\n57951 98590\n20964 31046\n45833 66690\n65382 73262\n79937 88877\n35871 88928\n17804 97065\n62954 66926\n47087 52047\n14903 80952\n72402 99087\n33489 83809\n26828 63604\n15491 42235\n70112 74170\n20476 22965\n46983 67246\n75197 98183\n30475 91673\n63564 97940\n8582 13267\n60254 76107\n2594 4874\n65441 84263\n198 92970\n24658 54077\n346 82139\n20592 68311\n53416 76601\n10834 84032\n21379 92400\n26082 39344\n44611 72285\n29812 87407\n5432 67925\n11446 22029\n72616 94467\n60126 82123\n37797 69745\n13936 73110\n48531 99569\n22269 65213\n33385 50422\n55123 95774\n56517 57935\n41151 99596\n39026 57430\n51051 56224\n42634 75709\n34097 97244\n597 48311\n26268 79579\n50482 64114\n17097 71992\n4658 9080\n6713 23095\n667 45338\n35363 76358\n40199 93013\n82481 96093\n39427 74177\n57664 64345\n37247 77498\n52770 59801\n37079 89163\n66979 70082\n16890 42180\n85260 95850\n3477 56499\n97383 99924\n20840 59847\n45125 95248\n11041 22331\n35012 61907\n56686 78941\n30468 87380\n17594 51830\n11370 69704\n35100 94559\n60022 96496\n47513 52639\n9991 22636\n31666 46684\n52338 63542\n31547 86621\n9386 87855\n54819 89956\n16410 61832\n23917 97538\n56031 75191\n17468 68108\n29649 88416\n22167 41784\n17048 76108\n19321 88676\n34250 54241\n41267 52344\n3706 72128\n38922 69133\n35966 89909\n85855 89384\n45479 49576\n13536 85066\n29692 42907\n70395 95372\n12369 70488\n53429 73673\n42662 74388\n15242 78741\n50215 79051\n44547 90780\n22041 47721\n12044 48507\n13840 21117\n24688 66358\n36125 80781\n67783 82577\n82462 95100\n45396 77651\n8574 94400\n3234 91999\n87937 95156\n83815 93627\n7908 32847\n38909 73774\n31198 32079\n71990 82121\n64311 84412\n56855 83088\n2883 4527\n65539 68100\n81437 92514\n29024 78147\n23178 32776\n57397 86006\n30517 31161\n41808 81986\n5929 56590\n3694 38652\n27317 79066\n19429 56697\n8208 18756\n10668 32626\n28105 73759\n22883 33878\n89473 95592\n14314 82316\n17655 45792\n37420 89817\n17740 67305\n19632 95942\n20561 73217\n31499 48813\n21942 87537\n14844 76286\n19679 38140\n5151 32166\n23933 96525\n3520 36201\n3291 69597\n46264 68264\n37575 85872\n15373 56252\n37779 58574\n8974 89053\n52065 55923\n16197 32817\n29590 50676\n50059 94804\n38761 98990\n45788 59673\n76316 79329\n1341 7049\n20124 28845\n88662 99079\n25848 36660\n60135 79982\n61022 86174\n19 28092\n34449 87209\n22554 79668\n9353 93205\n74985 78222\n9586 58126\n59894 96979\n7393 50259\n26209 73893\n36549 90120\n98 3765\n2206 84422\n60644 98273\n24390 57169\n5489 46039\n19785 21474\n3931 11019\n85838 92735\n41455 45631\n23750 80363\n55336 76243\n50320 51276\n27329 70371\n36178 52602\n17554 34400\n20865 44616\n24929 39853\n20389 33384\n18184 69855\n12832 60843\n36531 88729\n72634 78520\n22350 95726\n13724 82644\n76324 89858\n37180 70230\n22600 28835\n21172 58181\n54194 66459\n33945 36545\n18612 47230\n71744 92838\n20421 82717\n32110 38123\n10433 93334\n7797 22488\n5148 91393\n14757 56288\n35664 62244\n64400 64543\n6990 66959\n51424 67859\n57652 64735\n24335 73259\n38932 99301\n22580 92039\n35182 64795\n43145 85389\n63761 95959\n32520 38858\n13627 99515\n25605 37048\n36572 67959\n26111 75273\n31370 84733\n30696 92652\n24694 78412\n56469 67636\n39533 47651\n32993 54785\n1222 25841\n69626 77668\n45588 54941\n22567 58286\n36605 44167\n78223 93744\n60122 63237\n24100 59159\n11830 52290\n30966 33160\n84673 88775\n90199 97888\n25001 96836\n19746 49483\n34848 78517\n39419 46432\n41490 92104\n10790 84499\n26389 58954\n21854 62976\n52744 88004\n21954 38288\n6908 45471\n7277 66491\n21471 61498\n48789 64482\n22836 96000\n27758 58532\n47149 48305\n69524 85416\n15574 79813\n6160 37905\n9316 66822\n8133 54737\n42109 43542\n56735 72813\n10671 63912\n57413 65110\n13119 96337\n36978 70016\n62171 91034\n55062 66858\n25497 75910\n15475 36803\n218 48199\n80081 95244\n45211 69077\n9310 58776\n50910 92288\n46173 74349\n34238 54962\n15147 50613\n25626 54761\n46721 85925\n50682 52746\n76727 82403\n13932 92931\n20646 41092\n75154 88660\n44394 66513\n33934 61930\n12810 74174\n20992 68357\n12156 98581\n48165 66498\n1003 51908\n61609 77689\n996 52229\n21415 86659\n71238 83971\n1570 8069\n9396 40139\n48728 76935\n86886 94529\n3943 77011\n85773 91348\n44464 89026\n822 98149\n31363 94430\n13899 81108\n11484 18110\n13011 22609\n57865 62327\n68829 73301\n45189 85474\n6398 91060\n4086 37417\n26272 70389\n28948 39584\n71612 93600\n81880 92983\n36813 67965\n62929 86256\n33371 33840\n57305 88786\n35200 97721\n56101 71661\n66331 73351\n41566 54867\n41631 84631\n54786 67146\n58473 87432\n6055 89062\n85892 90657\n30638 40045\n8434 62204\n36453 70011\n17550 92934\n1553 75458\n4187 8076\n43907 85218\n27079 36970\n43910 69821\n24255 68323\n26781 30642\n19695 99225\n34911 94169\n57275 93776\n29503 30236\n71320 91171\n50912 94946\n9528 85098\n58558 75091\n69102 85032\n60317 82142\n56021 56621\n6975 77556\n13561 67533\n58235 95497\n58799 92801\n90907 93863\n70928 98484\n1094 61305\n69943 84557\n13440 73185\n98464 99538\n13284 70267\n23683 50577\n42669 83788\n61182 79017\n33141 86119\n13182 97273\n4073 90930\n2616 17911\n33868 45203\n12939 97649\n8951 66126\n21700 43581\n50089 85178\n71722 87323\n22630 28675\n61165 82947\n16547 66380\n91142 93791\n34989 77913\n14404 17654\n31601 86807\n24969 78688\n16702 37859\n32070 88472\n33444 53549\n77657 98459\n66585 80986\n25539 32928\n34715 63629\n46775 53863\n64595 73549\n91499 92091\n10602 95847\n9197 14171\n70634 76311\n28602 78028\n55388 85140\n21624 80537\n2675 90054\n15277 63101\n668 54005\n14951 20273\n45545 54459\n47542 77208\n7679 22614\n2699 13691\n20280 59800\n53441 80849\n59400 76845\n37965 66635\n92567 93280\n49007 51687\n73848 98003\n30085 41721\n57526 68797\n75501 95395\n45314 78666\n55936 58675\n22970 30711\n21842 39090\n26598 80107\n32349 40347\n9684 53179\n20719 47220\n3281 54052\n2313 85680\n11749 44170\n43187 63424\n26313 64171\n64219 98949\n33913 70959\n316 88536\n40164 58917\n6190 60679\n69019 82920\n12713 96773\n7656 11098\n20307 27455\n30322 62646\n65956 86601\n27751 48799\n8678 29606\n45704 73700\n25159 73556\n1532 21899\n3885 16825\n3169 18389\n40035 56128\n205 88101\n65646 93580\n15697 34867\n10126 36332\n20980 24186\n61404 87098\n16641 76553\n3976 49234\n94701 96829\n13599 53303\n54352 95476\n9629 15583\n28298 97228\n29866 42168\n37615 49409\n17178 41819\n33851 83843\n16917 70904\n71978 91711\n9498 90418\n43853 44432\n6000 85722\n88042 98188\n9192 20325\n41739 71395\n16126 18072\n2120 79482\n89957 92382\n5093 21112\n24933 94461\n31856 32588\n55841 83899\n32914 54580\n24968 35393\n19113 82330\n5492 35150\n33717 70032\n24912 66863\n58479 65012\n9418 40796\n59900 79651\n20465 42145\n46899 50413\n73260 85232\n52453 90756\n31961 80558\n29143 43950\n29193 45475\n31216 69888\n25653 74383\n58602 63033\n14407 96212\n26873 63092\n35865 99309\n63797 90832\n20047 55207\n42504 55830\n39517 62755\n75330 90844\n19312 90754\n1877 19953\n4049 33749\n9371 90812\n89367 99387\n80447 94625\n47502 77407\n13564 57647\n61781 80725\n2111 76609\n13484 17403\n50271 68333\n70487 91568\n21397 93322\n37135 85256\n25981 38203\n88551 99087\n288 98719\n20243 68001\n83213 99345\n15051 43864\n6619 7716\n38229 56882\n8905 68348\n8251 17215\n22060 24466\n25314 28433\n47686 66602\n35714 74937\n4943 55323\n75814 95363\n22580 25697\n21268 40153\n37521 57703\n6317 54287\n54417 59113\n43675 76166\n77258 77520\n27767 88269\n60867 80460\n45061 48841\n15166 68945\n22912 96336\n5385 26562\n9912 75124\n62854 86367\n4920 91577\n24902 93609\n22895 85681\n52609 58982\n9168 72844\n6633 20271\n9162 61998\n45371 68906\n37033 82134\n28692 73832\n76584 89994\n76537 88832\n47695 90688\n24472 58791\n69194 97822\n62506 88243\n28289 75763\n16197 85227\n4108 58452\n32051 70745\n70719 96079\n19931 27115\n56499 66516\n4289 46331\n8365 65789\n712 93299\n22957 50696\n48723 86275\n8007 82736\n39529 60851\n16457 18595\n3269 82833\n48693 61973\n21395 78852\n10604 30515\n57992 81239\n42231 47988\n64965 68218\n13093 64481\n45525 91071\n52958 91974\n3388 32313\n25365 90451\n49037 95300\n62666 84884\n855 72392\n3733 35867\n20508 89698\n32258 82634\n7815 28874\n9590 28798\n52776 56777\n58437 98110\n81353 95066\n2065 32270\n20157 38044\n31990 84780\n43135 53404\n8640 22485\n10101 82124\n75590 79102\n20157 54725\n55467 79952\n55735 87632\n44816 55653\n12794 85342\n11631 27777\n19816 69599\n65362 82456\n38529 64737\n82959 88547\n22574 81533\n20327 23098\n12606 97375\n54806 73124\n58407 77390\n78666 99247\n33957 99322\n42934 51473\n23509 48404\n28205 65588\n61677 73111\n13630 33055\n78425 78456\n40365 72006\n54641 99170\n1654 14162\n20962 98801\n8225 30379\n13942 30665\n11650 22413\n23943 83225\n37401 37876\n60273 65960\n41023 75558\n68421 83657\n60 91279\n78870 92902\n20669 88544\n94614 98796\n11797 41297\n42881 59611\n37584 65416\n524 22107\n56801 59338\n37893 97787\n61555 85355\n32044 33935\n41677 70718\n6713 34206\n31022 73114\n21688 51814\n80224 82521\n64156 93132\n35105 83424\n70682 94871\n18455 70083\n35285 70204\n14417 17714\n45514 52521\n9414 63487\n51036 54911\n9079 28650\n31342 40554\n58325 75578\n25044 32750\n80946 86765\n76052 83189\n44733 73534\n66458 92119\n44022 60804\n4678 72621\n31189 89843\n76628 76864\n30145 45977\n8045 41377\n27867 68752\n11242 25504\n39236 63005\n22861 39534\n49631 64602\n67412 72084\n78344 97816\n34927 86626\n65939 97657\n20900 24864\n48403 77012\n6778 7807\n8149 88002\n46453 47215\n21229 85372\n5629 60308\n80814 84705\n4873 64532\n63210 75673\n38824 49282\n246 92471\n69096 84549\n19970 33140\n56578 82912\n51146 89152\n47451 60357\n68657 83985\n38103 83942\n67229 95724\n78303 95241\n9611 66219\n14854 51410\n9430 98803\n8474 88735\n56915 81384\n73178 92150\n1181 81626\n39588 59171\n61420 75871\n9316 15155\n34910 95632\n17768 43358\n20643 83296\n20866 84094\n58326 85180\n13320 16695\n28679 55354\n64039 64067\n3248 5374\n7069 41744\n4044 88599\n38893 74523\n50028 71495\n54200 81772\n45792 60064\n22428 40884\n52666 80505\n7512 95118\n18158 70086\n854 88603\n24300 28625\n454 60246\n1651 39766\n39709 51813\n21565 27013\n10070 19001\n14767 80164\n50138 61242\n39881 42792\n6629 82053\n54930 72934\n5936 37476\n11541 25700\n84960 90535\n45904 61451\n29212 82289\n21694 99001\n4086 68726\n19348 75288\n9447 61473\n24489 69244\n44801 93402\n7521 98016\n4813 4922\n39939 94346\n11083 21439\n19502 27992\n31661 81041\n11674 49716\n44346 87363\n30227 43868\n12529 63104\n15971 34030\n35601 49767\n48449 58056\n34568 49854\n2138 27940\n54644 76325\n5929 12378\n10427 91851\n25601 94464\n35863 99093\n43160 65147\n6838 12172\n70433 90018\n6371 86058\n36991 53941\n30805 87634\n90644 93822\n79174 86348\n50002 78078\n54217 67610\n7930 27530\n79642 87065\n80006 83095\n16772 99152\n58676 80234\n32 9136\n8612 54575\n17027 98061\n40511 72563\n19467 65233\n13418 93009\n37509 81360\n77505 93097\n37598 74819\n23219 98418\n51767 53326\n77601 97178\n35402 93416\n10520 32888\n13027 36136\n41674 99104\n10138 60010\n60009 86450\n12358 45877\n18923 32784\n56537 83255\n41846 91051\n30485 63267\n61039 75791\n16359 39456\n2639 48916\n2320 84573\n20801 50722\n45255 81508\n54299 86712\n17872 32195\n3461 63421\n14897 61273\n12383 54092\n34928 78218\n17093 99822\n26923 84827\n53716 99687\n63141 90978\n2045 21128\n16433 30202\n8294 24917\n15852 26894\n46262 67078\n51660 84122\n33525 38077\n45140 65475\n2474 63233\n10259 72871\n5679 19858\n21923 81253\n38148 62780\n27621 40198\n9758 91085\n19099 60582\n2724 56263\n21863 72300\n95514 99934\n6088 18591\n9132 21578\n68335 81273\n4694 37402\n38784 49097\n79407 98970\n44714 84030\n31205 93365\n68191 71810\n24999 45697\n9678 31146\n29821 97462\n41384 71694\n22532 43189\n7160 48097\n45429 77700\n14440 70593\n73672 73948\n39516 70715\n61959 62195\n14852 44796\n60500 81691\n3314 77547\n40038 77923\n29465 39994\n22747 95741\n9509 90151\n54663 92191\n48996 99192\n31336 79918\n25101 97726\n34430 84349\n77917 85835\n31629 32808\n37859 64842\n25749 87630\n11077 31080\n62676 86800\n16812 92860\n34248 91647\n19268 36355\n17957 64287\n25558 57206\n81252 89196\n6239 11482\n46634 90689\n8404 97521\n42269 85347\n71017 78960\n21315 95655\n51097 64758\n18118 33692\n20927 47722\n33390 43145\n60573 79832\n5691 86788\n44935 65783\n18114 40127\n26288 80156\n22154 43145\n57754 73600\n73933 86639\n74056 81600\n7188 19740\n22863 77644\n1393 84012\n46893 88638\n69997 78664\n26238 40903\n89758 93734\n4283 62932\n57767 80073\n43730 46783\n37562 96967\n4834 78223\n3004 22384\n78195 89830\n59972 98893\n15615 72469\n12225 78784\n49814 68585\n4339 34937\n47970 67056\n16504 30996\n25690 75468\n3206 32266\n82744 82953\n6685 43651\n4230 40152\n50457 80620\n68059 81487\n53663 98772\n5985 12076\n64279 89625\n33221 80428\n55442 98454\n5919 83252\n8977 59307\n55548 71493\n13441 57229\n71820 96845\n47202 73340\n47043 56861\n70234 98695\n11114 91943\n407 86685\n16884 57931\n6519 24826\n14626 16192\n14909 20754\n6772 68368\n37814 42350\n85875 90226\n2192 3559\n6651 9949\n16779 55082\n30090 78028\n33715 60249\n1690 64881\n9617 25973\n8419 62721\n19217 42831\n39171 50596\n35668 51182\n8750 31277\n54160 70569\n56326 78503\n57480 78543\n67091 84648\n61037 89264\n69955 87081\n65473 71794\n23222 75034\n14312 42299\n3899 82912\n56352 75624\n8247 90180\n5508 7217\n921 20342\n26699 85623\n36431 54275\n6871 57107\n41468 74583\n4078 95836\n36993 58273\n8050 69159\n9875 32382\n43896 62386\n80455 98985\n48257 66049\n6527 19119\n52004 58749\n22562 45587\n10810 95374\n58563 86608\n15042 66748\n30769 79530\n30039 57906\n62380 86925\n60381 75858\n905 60967\n25696 81872\n1171 7073\n74894 94010\n47821 88129\n47328 91403\n1755 91097\n93623 99443\n44937 86751\n17981 27180\n44685 90507\n5364 31815\n5744 38446\n55102 98209\n43433 51607\n97043 97177\n30599 33833\n2999 80625\n61236 97396\n18799 83534\n73242 76920\n32920 61958\n87929 95643\n59759 89366\n16911 17328\n15007 18368\n32837 85860\n35618 40052\n8234 29567\n60463 91399\n13094 48645\n312 46899\n24075 33328\n4348 65228\n27600 72250\n67598 90645\n52658 83850\n29642 61645\n42959 67543\n46479 68464\n18819 19602\n1074 43514\n83046 93809\n37320 67372\n61681 78162\n52077 63556\n3305 21074\n38725 92938\n44500 57794\n13089 59584\n17969 39620\n44716 48786\n921 54211\n29428 77291\n56969 73789\n86565 97334\n13514 82868\n49020 58923\n56343 62768\n64757 84877\n57065 59746\n24552 43625\n10834 59493\n310 29481\n56184 65927\n23812 26709\n51573 58474\n50400 71205\n30237 51589\n13753 46179\n5643 88609\n15173 86484\n11011 16490\n45936 98148\n35620 99070\n10508 65303\n39690 56705\n7204 37872\n34011 44318\n13238 62993\n4383 12685\n6163 74175\n20153 66233\n24639 80077\n29672 80986\n22997 90201\n56648 82896\n55644 94098\n12382 34295\n1547 45873\n25889 31039\n11132 95683\n12272 37165\n15793 62848\n24905 69478\n1089 85257\n19361 58714\n9136 78530\n17225 82829\n2486 45178\n44720 57161\n79426 97792\n70798 85644\n65437 97402\n50375 82874\n19542 25345\n16301 65942\n54717 58960\n13387 86483\n17496 25916\n11340 15291\n22265 46109\n65132 95945\n1465 93880\n9839 19167\n37455 91471\n64902 74415\n35893 71763\n72062 98091\n4420 91610\n51530 61059\n15592 38521\n22731 27737\n6440 14396\n21321 70716\n12812 87756\n28433 48192\n36739 39605\n30890 44636\n31316 72647\n56658 78540\n16681 51865\n48021 73404\n4110 19078\n29155 55613\n57827 77376\n83710 90999\n682 34406\n39243 66309\n93543 98894\n40343 50560\n45100 64659\n11723 61473\n82099 87067\n187 42334\n19091 31418\n17762 59734\n59402 66809\n21465 85104\n9866 28505\n90886 98797\n14840 80645\n16848 46961\n8715 32207\n11556 62635\n16698 30459\n72793 87179\n43706 61040\n33270 34894\n36769 92259\n16512 45281\n83785 95761\n8054 17012\n1561 68468\n27882 88246\n40339 95266\n38819 66073\n34247 46603\n41449 98615\n7507 73977\n27375 50195\n93833 96725\n38455 99976\n75355 91266\n13466 34396\n14440 30017\n47908 91535\n25240 26762\n2277 81560\n63496 81543\n7329 18044\n31309 99125\n175 90350\n49000 51229\n5574 89503\n42999 72823\n30259 97647\n68442 77869\n75320 96033\n34250 41398\n30880 70608\n30106 89909\n5658 81538\n7724 7925\n76830 94974\n30347 67672\n59897 89387\n6653 45417\n66942 99881\n32734 57789\n59515 71676\n55803 92998\n75469 89513\n59249 73609\n46100 70789\n64018 68427\n7208 90033\n34533 76319\n45542 73751\n85069 98626\n66306 83525\n13269 37821\n64848 90244\n10440 67115\n47651 89188\n7899 21993\n94276 99782\n29653 45459\n54529 57147\n64954 98041\n7005 95305\n12916 47057\n42450 70290\n67065 76680\n1023 43665\n70404 71545\n8193 57745\n20908 79811\n32223 77082\n70225 76649\n16730 33933\n39175 40648\n31640 57984\n47536 57864\n13622 23762\n55384 89950\n60934 80813\n36126 85157\n13189 35140\n30040 78046\n52 74337\n28349 96840\n47906 75453\n65409 66730\n26005 61046\n8755 26090\n44050 93318\n83340 93852\n26834 93397\n33776 75880\n27410 67290\n44169 56666\n16248 98838\n65155 68551\n48651 48654\n13937 31064\n62608 82616\n36442 89479\n5015 55717\n39458 43829\n20234 36249\n17766 23539\n27596 79075\n27963 64453\n5297 89387\n11683 89063\n48110 57099\n60926 93597\n21225 38087\n57311 63009\n15280 41732\n29584 37102\n48477 87696\n4354 25753\n31953 35589\n46120 48128\n36219 45673\n28149 99084\n16278 21045\n45297 75226\n30698 37416\n14314 88879\n38940 43072\n33587 82896\n21770 54635\n4079 16078\n18911 95924\n55928 94872\n38173 42517\n15573 92457\n28571 31609\n23847 70120\n38676 91734\n37992 59827\n7713 62515\n53833 71500\n17790 23255\n26051 93348\n41577 65360\n13955 44382\n73071 88999\n12239 48194\n6421 61685\n26850 33425\n52948 57205\n50207 69083\n31364 37357\n44550 54678\n56916 67034\n17734 38919\n6900 22875\n21781 96737\n1282 21458\n1240 8041\n5371 53157\n18041 32367\n26171 36829\n6707 98599\n19374 42054\n21167 62074\n76806 79084\n3333 55619\n23572 78273\n33965 77180\n32522 76193\n60910 74692\n41647 53239\n32120 52461\n58520 72429\n67321 78017\n34835 92978\n35950 86655\n3643 51092\n38017 41344\n1751 93643\n45165 53964\n80831 84963\n18103 22708\n51954 92988\n11219 39645\n3212 84945\n59972 66557\n22958 71000\n17337 59482\n22231 44552\n11183 67158\n19631 32931\n61632 77430\n7153 49089\n70705 99800\n70978 92048\n35387 78147\n75190 92126\n69190 73015\n35139 95899\n17988 54251\n31827 50381\n24723 48036\n20738 73035\n2396 4083\n55279 91324\n25092 92523\n25289 79846\n5452 44439\n58031 80887\n10425 88425\n33397 40657\n37653 53840\n4261 27787\n62312 66847\n9193 49125\n15120 31188\n17554 94359\n53095 69527\n1680 23834\n15677 69645\n30215 53119\n27810 91268\n52628 59346\n41930 49270\n49688 98458\n5562 85820\n8453 61151\n44370 71065\n12502 66619\n60731 79171\n13978 62646\n4986 12460\n35303 62735\n76453 92212\n52695 66470\n54311 84369\n4332 41476\n48506 61169\n29191 64693\n27976 85855\n27827 33076\n13826 93269\n8880 99449\n36722 57799\n7210 51052\n23798 45213\n17979 76636\n30024 53349\n21585 30923\n8453 11984\n27927 45709\n76725 82376\n80879 92614\n74240 92597\n21780 69175\n48914 76725\n29011 97703\n28946 31586\n48550 69649\n36141 47180\n61788 85730\n52845 90081\n87199 93369\n42372 74193\n13847 80470\n23261 64377\n34321 45541\n54226 80020\n18180 87285\n9889 34267\n42145 43597\n6249 99184\n13257 75833\n34149 94940\n38397 69645\n52004 90487\n31522 83123\n16361 21163\n24755 25314\n55393 81729\n74085 92107\n7720 91499\n5847 60683\n63138 68044\n27333 78191\n8969 77972\n78458 88323\n16440 39316\n44527 61799\n15975 29583\n12080 84034\n28368 38564\n33743 57460\n63863 85521\n67153 88164\n14245 54325\n46284 95671\n1357 68479\n4717 79409\n80939 88675\n14155 97443\n49883 92975\n9611 77121\n17579 77225\n43063 77472\n25082 72184\n59157 86038\n57477 98809\n32656 47609\n15810 59318\n43564 68621\n10520 92139\n88487 89494\n3198 90016\n22494 67067\n13052 49500\n23026 90037\n22975 25361\n1000 2322\n30046 46281\n36457 62962\n65331 88506\n376 53715\n19185 83166\n58615 79452\n20121 34819\n70546 90052\n87686 96106\n9141 32335\n7152 49713\n18878 64926\n44182 99406\n30060 86434\n9427 75579\n6364 14364\n6073 63586\n28466 74832\n45978 61932\n454 86577\n41795 82732\n6256 62027\n44029 97789\n1745 36581\n11021 45286\n71199 82166\n7956 82452\n77474 91351\n10520 77067\n11561 92762\n14740 94944\n35708 53199\n8493 74770\n14690 33879\n70550 96949\n17764 99532\n16927 33539\n16650 30432\n31324 62165\n57516 68829\n21301 81856\n13272 34531\n32927 97106\n4903 72038\n11981 65888\n74677 94723\n55892 79722\n46726 71086\n66990 67458\n27844 58501\n36104 76155\n57006 66932\n7577 14338\n68462 81710\n57830 58329\n56325 85271\n32938 68151\n33054 88496\n54811 99582\n770 17032\n1968 7740\n63912 95019\n41072 80444\n88761 96092\n52000 92923\n31751 99393\n62036 78797\n12101 78402\n51624 97568\n73138 95043\n34803 92056\n56087 79687\n7546 62211\n37949 74598\n16465 19924\n25513 97389\n68441 70995\n45285 56044\n44890 69810\n51179 62171\n54973 66666\n1433 11242\n42354 94501\n69636 93010\n11232 37245\n42545 60418\n1384 44228\n76 45468\n55503 59842\n6429 22239\n20441 87346\n64024 85309\n24114 65579\n6805 51899\n4077 30557\n64312 96311\n60461 64063\n44984 54715\n28670 98127\n9359 11925\n15401 98135\n45615 76084\n24749 88577\n14007 53668\n66404 76854\n49855 95000\n48086 89271\n53656 66820\n14705 35231\n27343 64125\n42102 95024\n14310 16542\n25964 71379\n262 97087\n82831 85251\n9006 51920\n76634 90938\n28674 60099\n42186 64174\n4432 47226\n29088 90855\n37449 59055\n11644 78031\n22127 45737\n66045 97501\n58892 97042\n25325 97340\n24098 49338\n3858 60825\n35991 89938\n54465 61532\n71277 91138\n74882 75578\n47503 65189\n61404 73186\n370 21668\n6860 52686\n2939 18031\n48949 79539\n1693 37326\n13322 53148\n56241 90226\n5613 9848\n47141 54088\n4326 21295\n23101 49073\n78165 93583\n44622 73224\n1571 80797\n24776 74193\n45736 93340\n75590 92385\n64037 74161\n58165 72626\n29140 79115\n45640 52404\n10725 48731\n43397 49568\n34901 76717\n7469 7963\n6500 28253\n49379 93403\n40217 72505\n59075 88223\n35249 81177\n32531 97629\n44688 67124\n63152 84282\n1155 46519\n56744 84492\n78956 93781\n40847 46665\n22360 69901\n77804 80777\n28747 83245\n12214 42228\n14795 64557\n54621 61434\n54305 64039\n40271 52611\n20261 51024\n15635 95780\n12418 51445\n53898 74606\n10078 17738\n34199 66843\n39727 77255\n9056 73861\n8524 83318\n39066 61389\n51773 71180\n6505 70069\n75516 81474\n35306 57947\n36993 81092\n35708 52141\n3710 55785\n20929 52857\n50236 80851\n8121 55239\n36146 98244\n22850 58586\n39537 92703\n30757 38547\n6441 73927\n64178 95393\n27169 76519\n28512 70273\n5534 88332\n55939 80243\n5384 62232\n21842 31058\n75248 92821\n43202 73696\n38615 95415\n20517 28934\n38646 71927\n22205 61942\n61200 77436\n74566 94239\n50128 67971\n567 80518\n32312 73655\n26684 27827\n21014 59218\n43977 90016\n38463 48318\n2720 90315\n24553 41355\n45773 85374\n51878 75976\n8474 22280\n26158 33561\n10625 40226\n4765 72162\n9846 96714\n21277 64907\n10904 89399\n26016 47987\n9665 38462\n4956 40062\n20168 91228\n18805 67882\n8821 94409\n20151 25874\n27179 92226\n56855 93504\n49191 73392\n88449 98722\n9006 12454\n30233 50365\n61205 90552\n23997 94568\n2750 29171\n38678 81605\n20160 41579\n9607 40127\n35826 74265\n26716 31914\n38420 73918\n5283 48621\n13941 57457\n26694 34788\n9988 98992\n31579 86645\n30350 99436\n40406 58067\n42080 98621\n6588 16235\n23964 84789\n63699 79929\n26746 84002\n28739 87758\n3291 8755\n1403 5529\n18690 71683\n13345 31557\n8819 21795\n7549 26881\n16674 37712\n34279 58088\n78438 84102\n19538 48683\n32706 77643\n4468 18566\n21947 98240\n18244 19721\n35724 68931\n992 63515\n18789 86543\n5193 17074\n49344 78400\n53056 78844\n70458 98922\n20210 25961\n22002 60390\n12967 29983\n70008 92869\n26037 68734\n20470 76984\n60001 93070\n12036 74126\n25779 63134\n32038 55770\n67423 92498\n21287 32505\n6492 99056\n58352 69643\n86551 94942\n35165 46938\n6448 85296\n44951 61437\n34122 89759\n3049 32680\n89013 93927\n1920 49002\n41395 46672\n8596 22797\n7755 82517\n5416 79797\n12482 82346\n6767 44030\n27651 86440\n20757 33088\n24741 84810\n14922 15698\n10278 66512\n18617 72889\n45628 64092\n88459 95665\n27209 94999\n54795 80378\n57879 75573\n74838 85657\n17000 36557\n46031 62842\n13286 30998\n10398 52980\n22563 54606\n7773 63842\n82732 96282\n10820 13373\n52687 59648\n11349 69155\n76553 96055\n16105 70481\n41762 43623\n358 51530\n28110 61011\n12241 46614\n51001 58925\n6428 72465\n38880 87099\n10148 11155\n45434 93757\n66853 84686\n20366 29831\n37646 92859\n8214 23414\n34399 87310\n48120 48803\n19473 99444\n27351 90034\n5711 87009\n58939 93013\n87335 94916\n60584 94702\n42444 66721\n3955 27384\n11434 35407\n36543 68924\n11067 33723\n12784 98779\n40574 75966\n25503 57789\n11290 89011\n8947 55680\n14186 55946\n2600 8325\n3756 73846\n25908 36895\n29918 75491\n12247 33614\n54500 81752\n56064 99047\n35421 44475\n38906 81554\n15620 49050\n40928 41514\n24698 90651\n28296 68061\n22834 74538\n27624 99034\n37829 81661\n58894 97605\n75293 88107\n69945 72658\n4008 53042\n22026 73634\n78507 86207\n72390 74284\n8098 78091\n20714 34339\n75122 89507\n8071 60537\n74243 78219\n31901 76485\n73546 81714\n2983 76413\n11774 58449\n35492 46749\n61331 78331\n27286 75743\n10496 64141\n32230 42699\n39870 73739\n3063 83364\n39886 99459\n13366 82810\n17425 64804\n70792 90543\n74474 79595\n58129 68244\n21844 91142\n41926 79750\n38722 62800\n916 63606\n5407 13386\n56919 61172\n34104 70879\n21595 23875\n11240 90717\n49695 52003\n41549 64513\n43076 47345\n1576 48684\n18750 35455\n21061 82654\n20646 67452\n20819 67621\n31862 48791\n90128 91085\n2682 83630\n15283 99677\n44264 64822\n33372 93563\n76579 84799\n77056 95223\n6792 47382\n71790 74907\n22382 77693\n8915 65227\n21189 32506\n60884 68511\n40476 84137\n18749 38898\n62691 64510\n39397 46749\n48831 83989\n2703 52534\n20167 39990\n14479 70531\n60643 87930\n8420 42743\n9951 14217\n49099 64840\n5908 98582\n14948 47324\n20916 95586\n31537 31589\n15990 28486\n13060 81584\n51241 52305\n21897 72158\n20748 85634\n93128 94549\n293 54508\n11957 36660\n12937 23622\n23546 32696\n28646 84098\n21792 69424\n65116 66625\n22513 56299\n35781 98547\n21133 37156\n27392 60302\n75981 94048\n40999 41576\n56806 57290\n12445 80479\n7430 62561\n97589 99836\n5563 13735\n31620 84372\n59879 70667\n53962 53973\n9140 12943\n10681 85414\n29444 70087\n60304 96346\n30502 54660\n12866 85384\n6281 95966\n8338 24196\n69232 89489\n40857 53121\n15600 92964\n31268 78938\n13436 85641\n28923 38667\n2627 74838\n67481 85220\n86890 90879\n40521 44841\n40309 47192\n26071 94004\n25920 44697\n51553 57805\n52961 86448\n62835 71547\n5976 33636\n22344 33075\n56452 75022\n28708 36335\n27924 46030\n88917 98815\n34392 48604\n5099 98085\n4031 30192\n83989 94204\n20145 45161\n18491 89401\n4784 28874\n36098 53231\n20348 35197\n24723 44575\n40467 83237\n6913 34633\n28631 69128\n12467 80984\n25220 29080\n16164 79330\n21689 26588\n19681 61441\n93334 99706\n61020 79144\n38294 97614\n21435 61910\n6692 7936\n9019 66594\n63430 71325\n66557 93477\n7593 69481\n85099 92131\n29652 80590\n8317 83074\n12099 67105\n23948 64240\n5681 14804\n39609 99448\n5009 94482\n51040 80247\n710 28062\n58059 80715\n64085 69993\n33837 38864\n69181 84347\n49350 64623\n17855 38702\n2662 27824\n9105 9462\n21567 70177\n9584 18581\n32486 62326\n31594 80314\n42791 61888\n3789 64477\n22271 89886\n7596 40653\n10995 52211\n6908 93344\n33484 39293\n5857 59122\n25674 27662\n11651 97709\n29019 92509\n22540 27621\n7192 76301\n15411 72848\n66295 76941\n5444 6459\n47039 78924\n9453 57399\n31631 80780\n58256 94969\n35621 39373\n63854 73262\n41510 99068\n5532 73679\n6574 74057\n52097 87789\n34077 82981\n37189 58666\n14683 40353\n122 54974\n19261 26558\n55146 83924\n23122 30530\n20213 42932\n1410 83026\n36611 60813\n8519 12136\n19059 34905\n61977 96750\n4338 38920\n424 43680\n2633 47836\n8037 22472\n21757 62176\n9459 38196\n42343 94528\n29305 68452\n15273 28652\n54553 97112\n76744 85565\n67524 77854\n67995 69622\n62032 84567\n3699 70663\n2361 46360\n74235 87783\n11365 55334\n85069 97582\n24979 88994\n42827 59906\n16816 30638\n49611 90919\n35937 71116\n1361 57647\n22183 80646\n37760 80968\n20665 66386\n24172 30732\n22476 70746\n66557 83329\n56487 84992\n24986 87265\n15094 53356\n47706 60146\n45349 61420\n14565 32162\n20342 79137\n76351 87821\n521 45504\n746 9703\n58240 65668\n38728 58953\n37742 63400\n46529 74016\n38947 83171\n50065 84945\n395 37965\n21933 50488\n53106 61095\n34289 71559\n22153 81642\n9890 67160\n50762 72178\n71534 76634\n5155 97032\n1671 48888\n14644 52334\n39677 58218\n10815 76235\n12903 17097\n66221 72530\n11535 52758\n22298 63509\n13609 16862\n60857 64976\n39529 96845\n29337 84853\n88601 97982\n59246 83211\n24272 48209\n14521 27968\n64881 88447\n92119 94296\n30710 69407\n10893 42244\n41460 71342\n4021 54878\n16108 72640\n32 93291\n13665 40431\n70924 79871\n68069 96376\n44415 86563\n5519 6211\n22464 69504\n887 68344\n72087 96130\n64806 68712\n38355 79647\n45217 66791\n7072 45727\n6684 13002\n19278 59498\n22599 84945\n41327 97917\n64351 95169\n21791 41311\n23852 24020\n27232 70631\n36675 58220\n5663 77254\n64968 98939\n8668 41691\n12625 85061\n31337 94634\n18538 94542\n4644 24678\n10204 84719\n54964 96058\n59652 92817\n54055 65324\n30959 32760\n14342 92173\n68410 92539\n20509 95360\n12676 93110\n14438 72916\n5633 59256\n36030 62473\n22004 29040\n22689 73547\n48187 73489\n32518 86714\n9025 18033\n8353 38991\n81038 92453\n36052 73771\n54400 62561\n12919 72024\n18479 90975\n80920 90554\n43285 81142\n14118 73155\n24398 62036\n72877 81129\n9000 79104\n52979 99563\n11444 30335\n92306 99676\n71812 74726\n63775 94518\n19238 42216\n77485 99210\n53447 90833\n30041 83814\n11150 24992\n49612 66763\n12302 13135\n26305 50578\n57192 88415\n15998 30235\n93041 99688\n20094 41841\n63513 99934\n52638 54183\n9489 68849\n14079 91748\n19958 73062\n29835 81059\n36932 74810\n15230 32520\n47801 63057\n11696 44739\n19381 45198\n9599 14353\n24137 44731\n8419 91685\n40126 67551\n24465 46743\n32931 37502\n4548 82820\n38888 75047\n19519 44854\n51152 98934\n3645 15717\n21693 39127\n82742 87905\n82111 85896\n33399 52107\n366 47175\n8137 62851\n14555 63993\n41073 57974\n27812 49081\n12239 93945\n22119 48635\n14169 25585\n68311 81819\n11908 89219\n10132 36340\n57257 99579\n66560 81274\n7388 27760\n38768 45223\n45374 65221\n44464 76971\n13864 19551\n39722 63132\n6966 90968\n1606 88676\n45842 99590\n55884 60211\n25834 54313\n19348 53366\n40609 97169\n12149 61182\n33015 40171\n22787 46573\n5933 15491\n24981 37907\n16062 20118\n18813 50688\n15859 53962\n3098 38953\n17929 31357\n37173 40047\n44222 75747\n61349 87849\n20179 27064\n35201 53395\n4734 5052\n1854 50965\n58931 83540\n13758 92622\n1733 96614\n17660 82002\n31229 68570\n52922 89763\n15702 57765\n35915 98400\n56296 81447\n55437 89551\n16959 66281\n43827 45364\n39683 75105\n27184 48221\n15706 67872\n9155 84654\n58552 87834\n23396 53174\n72607 81235\n10394 95369\n22080 56901\n71959 91975\n52993 85309\n67917 68528\n55928 61961\n15407 76138\n25463 43760\n65325 95301\n21033 56008\n769 44850\n49389 50667\n39468 66405\n14960 18539\n17761 71573\n54607 60964\n15279 62848\n54011 94568\n4726 52042\n82023 91201\n45013 84668\n50893 54188\n59802 91262\n19142 92220\n22105 98681\n69781 72837\n34774 55114\n27141 73674\n14345 91857\n6822 42703\n60287 61397\n33276 44678\n45526 88589\n20332 48409\n38843 92536\n29040 30062\n48884 64365\n56998 62866\n22393 59817\n46998 76565\n21579 55240\n15214 43693\n32207 66695\n21087 61332\n53961 65732\n394 81121\n48246 83038\n45285 98532\n1533 81085\n49973 50647\n49239 80195\n10658 16870\n15725 27274\n83446 90212\n26459 38675\n72879 75030\n88827 97003\n16787 81664\n16142 16377\n52826 55177\n20680 86220\n17576 64176\n30234 76657\n45864 52989\n92858 98846\n65423 99257\n5708 9574\n16623 31229\n35538 66136\n65322 71001\n1601 57131\n9510 60287\n8345 46939\n26030 47061\n44337 91519\n3951 49447\n11263 90748\n8707 15426\n85914 93829\n49649 99198\n12105 53333\n37930 39580\n22208 96229\n40603 74741\n46427 92125\n9942 63082\n60903 85868\n21225 35222\n33657 53027\n34026 74750\n14058 28004\n85123 99711\n55191 86913\n40832 44021\n31999 41590\n4612 35116\n45864 71161\n25390 58513\n85276 97453\n3857 23787\n23478 39292\n96121 97604\n52267 52436\n14212 75294\n369 48846\n27419 93720\n623 10557\n41220 99986\n7991 30230\n30957 39733\n24278 81893\n38445 44524\n4569 84362\n49486 95486\n62725 80028\n26880 89958\n33522 59926\n63103 73060\n6985 98196\n266 81104\n59036 99010\n26134 74731\n65752 79203\n84611 92722\n3071 75131\n74600 90148\n56268 99417\n85554 99605\n48139 83527\n46365 62675\n78814 99400\n72545 86114\n65028 95593\n7912 54062\n8522 19557\n77849 85200\n63874 81903\n10116 18605\n40109 50842\n19301 52098\n38761 62209\n2446 60409\n60144 75798\n678 79917\n44559 64119\n2745 40858\n11519 63957\n336 94533\n1491 58325\n21769 77642\n31169 95672\n7475 85790\n4802 95818\n64681 84101\n15499 31044\n63117 74058\n2661 36247\n58377 77195\n42216 85346\n46637 74881\n60901 85011\n5307 10237\n49031 57070\n38909 77362\n18298 35228\n31668 45821\n60248 61322\n50757 97262\n58376 76243\n27688 80016\n30383 59943\n95511 96271\n53492 91654\n59946 92003\n28880 88686\n6121 39633\n42307 99787\n7735 51043\n4766 56613\n24326 88338\n12921 98287\n13026 91465\n2455 84151\n214 29076\n40433 54253\n32809 93485\n9235 60790\n26756 86369\n60825 71103\n69517 73376\n34102 46723\n57015 84131\n80432 98984\n4967 94776\n26939 90721\n22525 70109\n41679 58755\n18503 29359\n14679 93642\n5493 98698\n77121 88824\n22798 40096\n35640 69395\n51090 98916\n26477 34466\n1590 99268\n13467 22537\n6602 38947\n18970 58448\n54088 78502\n32477 73163\n33368 53418\n35988 52337\n18096 63751\n57381 60645\n47239 58167\n76849 86549\n20872 89350\n13564 90840\n17118 70047\n20674 63662\n4463 16099\n87075 91006\n43854 96198\n70918 84423\n21057 44750\n16190 83803\n11028 34188\n57437 77398\n51098 87500\n55940 75252\n33325 76570\n1387 83365\n30445 74803\n5738 84301\n2216 39009\n17306 60642\n2497 11473\n16954 40228\n23171 61239\n12490 99150\n86544 97603\n10090 98403\n7758 44036\n23194 26219\n48434 87566\n27232 38082\n32758 74587\n19806 42165\n42837 85165\n68721 71522\n38571 78358\n27786 94114\n43244 88585\n22735 90819\n11751 21047\n10341 39983\n24904 91767\n52529 78397\n7575 9131\n14083 48094\n30282 47649\n60332 92976\n4670 63139\n70895 86274\n15495 82164\n6546 30394\n44174 70560\n25291 45824\n59279 86430\n20836 76463\n27074 39223\n31833 64451\n76467 82005\n2747 14702\n31503 46164\n20170 66254\n25191 70157\n18362 73840\n17311 45159\n20387 86074\n46509 68013\n86623 89019\n12277 95427\n18031 87688\n19884 79440\n58857 80167\n91774 97751\n17070 62664\n28597 37765\n8397 59660\n8845 72447\n6053 98224\n41139 41587\n67831 84089\n45374 86880\n398 16631\n8314 47139\n22245 90693\n53271 76411\n81131 85050\n30652 50238\n59267 69379\n74516 95423\n22416 45175\n30502 71862\n32579 77109\n13720 60218\n35174 91390\n76361 88993\n21689 57099\n53666 94639\n26975 69025\n5226 98301\n24912 32749\n7058 48138\n84696 85722\n72783 83916\n92832 98687\n47116 85355\n30359 46365\n56818 73136\n48204 75150\n84272 99927\n4730 90037\n24796 50928\n43617 71105\n16713 87791\n8973 74685\n5979 75415\n61980 86948\n33139 95576\n31746 54887\n32296 52786\n4791 22793\n33918 86098\n3535 69829\n31049 41418\n12974 56222\n49765 55082\n47865 66602\n44440 57014\n41217 95968\n37434 49832\n45400 94575\n52934 75434\n33009 61344\n59378 64264\n10787 93763\n3349 11758\n48756 90972\n78020 86258\n40631 99457\n22160 98317\n9312 91642\n13238 89483\n7861 8059\n43280 73766\n38806 51505\n13835 42970\n43155 84535\n16289 89276\n50786 92411\n26300 55296\n76799 96753\n29233 46573\n15758 73102\n12389 74081\n17275 38507\n45746 80137\n45018 90545\n78665 98077\n37280 57342\n12197 15776\n60414 65974\n11583 42628\n11616 91592\n27187 74870\n46061 94715\n20244 27877\n8022 23719\n51803 62078\n32827 67279\n42878 72724\n41905 61327\n13005 51314\n2122 43703\n28951 85950\n28056 90799\n2566 20793\n9905 30651\n40152 88985\n37598 90520\n5750 71830\n5249 6532\n18981 40914\n46206 67368\n91240 97406\n36120 59552\n80922 99009\n79115 95571\n71309 98099\n46479 51004\n6638 7325\n29571 46482\n19898 20933\n18199 68945\n48803 86514\n27283 76401\n29157 71683\n20607 69126\n26117 42240\n4915 71643\n34445 35537\n3681 74271\n48438 79517\n60669 97272\n61083 68019\n10039 47093\n68827 80951\n17078 47587\n49983 67768\n41019 50177\n11023 15904\n45355 48740\n44753 93515\n38903 92547\n16787 48003\n42224 74323\n22674 44510\n61142 83379\n12066 35639\n51512 62063\n76982 93982\n53141 98303\n14374 19734\n92667 98628\n10755 35152\n36216 66246\n23728 45605\n36382 38444\n20392 44071\n56916 81404\n3468 76749\n76652 99890\n81526 90253\n69908 97506\n8377 37624\n10315 15330\n9783 82539\n72226 91647\n19297 86898\n32680 35304\n19292 25826\n44975 85124\n39825 40460\n7570 57549\n44156 51118\n72041 97684\n42920 81127\n68154 92020\n94125 96438\n64472 76247\n30158 64188\n2226 72097\n65156 70015\n13646 34536\n36898 96998\n60024 83485\n27770 70064\n15759 43917\n45847 97805\n20142 65843\n23549 61676\n68453 98966\n41234 76784\n18342 32447\n20234 62257\n5168 68264\n10661 40643\n21459 26175\n14066 74608\n22493 95948\n15358 32915\n62028 90527\n7446 20168\n20857 80320\n12756 41294\n18559 93492\n562 81019\n14163 50819\n33775 87482\n17323 25369\n15437 30756\n28217 47159\n43894 58024\n15699 80952\n66611 88054\n2470 3300\n25151 42360\n53285 87925\n14966 63209\n48721 75593\n75 80231\n25777 43091\n35104 50994\n62611 86163\n49037 65122\n65349 68877\n2778 41245\n7379 92530\n23338 23611\n71410 74863\n86390 89620\n74452 84179\n61984 69612\n17988 87893\n64415 93302\n73174 84178\n69590 97876\n14196 55761\n20428 24888\n29469 45223\n16194 56857\n4849 97850\n40989 69356\n3379 10751\n84829 86900\n4740 54997\n19044 21711\n13284 75480\n4027 93320\n21652 69527\n3663 19628\n13320 42174\n48346 66659\n46385 81169\n84272 87247\n73935 78309\n17529 51166\n72179 84345\n67099 73479\n24885 82907\n84528 88426\n36764 87145\n39525 88892\n13530 85583\n14681 70696\n367 59368\n37388 46116\n71205 81312\n3416 65369\n12354 72547\n12257 29133\n71822 84525\n42535 75023\n40665 54216\n3333 56202\n57736 98380\n24296 48056\n8643 89720\n15894 48820\n32960 76606\n29308 35794\n17395 78190\n1369 79604\n13987 64920\n62343 74320\n464 40820\n43562 83455\n49229 59635\n45695 64852\n66572 73871\n6581 11269\n61682 78643\n19435 91474\n35473 81520\n3220 24892\n12087 76982\n28144 76107\n49344 68877\n16096 72971\n22089 72738\n30066 98203\n21061 88396\n2868 81370\n55890 72775\n37333 81256\n43150 62519\n53738 91839\n7259 20346\n40649 85849\n40682 66056\n24323 46007\n72734 78393\n23135 35831\n69277 70593\n83706 89179\n34305 51458\n69928 91377\n73346 99642\n22477 81801\n19905 44491\n12460 14513\n9018 87832\n44597 76397\n5107 34154\n45395 87076\n58075 89967\n12825 99547\n60330 91202\n56165 69535\n89437 92472\n32326 61794\n59359 95684\n31525 39604\n29635 34584\n45925 78819\n9136 30328\n93443 98966\n21977 71752\n23182 51657\n15027 80427\n16036 27223\n37599 62929\n23516 75037\n8319 54817\n34393 50096\n54238 56747\n55829 92103\n6834 64563\n81751 82005\n54734 89815\n66187 85712\n27382 89818\n70525 81218\n22305 27336\n30439 91550\n72017 90573\n11708 14829\n37161 46188\n35966 92296\n19389 81496\n45645 79064\n17164 97812\n28174 95918\n76865 91572\n65242 76997\n85377 85842\n18690 39158\n25033 67580\n59702 84396\n36584 71784\n65931 85461\n71239 76107\n25306 56245\n20394 37016\n1372 78848\n47590 61693\n42232 50520\n205 86961\n29560 62596\n55409 85345\n38532 72895\n4682 7907\n2260 2959\n26253 36353\n43779 97616\n77506 86821\n57168 75066\n32851 62156\n77571 86431\n61764 83699\n7421 30860\n39135 84864\n49091 52656\n62925 86169\n35951 64895\n13532 13952\n20663 42394\n7980 74453\n39564 86637\n28345 42136\n7674 27048\n12163 74475\n49243 68707\n28100 53283\n35341 46412\n15110 50168\n23739 57064\n39592 40357\n25236 80299\n37935 63653\n13792 35250\n6713 50837\n28893 62762\n1131 95818\n95673 97136\n23525 24386\n1998 16432\n94636 97407\n8475 27061\n24767 90752\n49199 83644\n42735 50792\n23934 45876\n1617 77677\n48495 90132\n58054 63078\n22217 49501\n29053 33918\n55491 83573\n51245 93738\n16654 45327\n51882 83658\n54129 90112\n38428 95571\n14001 64138\n55017 85210\n44330 44787\n53437 79084\n851 89401\n57929 60022\n21859 91195\n68531 99636\n8442 74088\n54944 74963\n6372 63540\n21139 64471\n9435 89709\n25361 43866\n39723 42544\n37281 45687\n41122 83030\n75031 90403\n14575 32934\n60136 72085\n7929 41393\n71263 90650\n13533 53932\n3309 14453\n16605 37288\n15388 78439\n63155 79540\n5060 50959\n53158 53426\n31317 32737\n82654 95979\n50482 91226\n76342 93464\n55409 87816\n44134 61596\n39034 85753\n35436 99281\n68533 93995\n49944 61871\n41792 91800\n5878 47030\n45486 52993\n92611 99508\n25567 81268\n11145 59047\n65297 92315\n37983 72384\n22751 74134\n20445 72445\n46209 70305\n15290 99667\n65424 82197\n49675 57963\n16209 54187\n51159 94464\n39541 69664\n12103 13369\n8831 82213\n54775 79244\n34123 65268\n5118 54318\n22239 83721\n70402 82250\n74158 79925\n77946 80892\n37595 92713\n9010 76502\n8925 82782\n57151 70411\n49009 81492\n431 26897\n7263 24190\n6431 8566\n17511 23492\n63575 94198\n33967 91189\n29893 99264\n58663 83667\n60264 64139\n13223 44207\n30192 75221\n36799 48063\n66297 87854\n79481 94846\n50942 91362\n8845 16837\n19012 50226\n38734 95217\n36810 46939\n25439 54013\n7334 18787\n83974 93907\n16303 57419\n59801 77473\n44954 54658\n27021 73183\n25083 72527\n46093 92882\n26 25097\n23541 60349\n14794 60131\n50784 60541\n49338 64057\n89326 99779\n19305 65431\n4984 99938\n9184 21084\n24544 56986\n38493 88707\n14670 74956\n2716 58728\n9378 68002\n42143 83721\n22188 68564\n6140 46486\n92366 96982\n1409 5424\n23935 87162\n19899 33367\n51922 91935\n35510 53196\n43760 92457\n17088 34661\n56970 90279\n6928 40152\n12941 97142\n48636 93536\n50120 72992\n6669 78897\n4597 45429\n20404 56789\n53088 55470\n54099 76877\n76026 96812\n22513 78276\n12332 64960\n71033 99838\n59432 73045\n26246 40576\n20175 48564\n14289 36767\n25500 26265\n24050 70902\n37592 72594\n39115 96972\n33786 56982\n34448 74986\n21438 99482\n47552 76176\n90464 90486\n43182 61388\n74871 99312\n25815 74819\n37264 92292\n13951 33093\n29648 73473\n1863 76072\n57881 97446\n31699 39257\n61033 96361\n7061 77966\n33474 95550\n48569 82003\n61191 92938\n33640 35682\n1458 51968\n24611 67356\n14700 55307\n10901 46374\n6289 10748\n21298 30316\n23343 48242\n75849 80925\n29669 49724\n51961 69822\n18907 71107\n10826 89496\n1303 50036\n30242 58243\n53896 82622\n59853 72189\n27973 99709\n6490 77950\n9822 41874\n65756 76608\n48444 51296\n25879 55793\n14823 46845\n28590 71734\n56091 99416\n21742 62623\n56918 99288\n12358 64079\n32832 95704\n50540 92446\n4337 92470\n10557 44387\n24357 76620\n22352 47360\n60751 94657\n30675 70773\n24286 39699\n24757 50305\n45567 52252\n4737 37158\n23187 44716\n11688 16380\n93334 94684\n26397 65280\n50407 59303\n15090 44123\n67529 70914\n72647 98273\n68472 88847\n50461 67583\n33681 65776\n6367 92171\n73378 76636\n57502 72917\n1963 24386\n70961 72035\n55681 72279\n25189 98634\n69548 88237\n7331 89377\n18095 50051\n17265 80905\n17806 52831\n1486 64722\n23660 39826\n22621 49191\n58007 87749\n13115 69828\n47471 87816\n3232 19963\n6643 29265\n29492 75352\n72334 78085\n743 89290\n46592 84612\n48948 50593\n26915 57088\n64573 85920\n6944 8812\n42711 49810\n38605 69569\n29151 71639\n18003 45584\n23634 85625\n37128 72134\n36592 40833\n46189 47177\n66680 95254\n1757 26844\n34791 34964\n14366 92175\n48490 88546\n42306 62663\n64728 91698\n46151 71197\n45870 91074\n58371 65835\n44840 66461\n39893 45466\n9872 70718\n19249 73876\n16006 28702\n45405 52100\n33676 92612\n8612 31166\n6536 28368\n6522 72706\n82815 92722\n44002 95993\n38473 48052\n59678 72054\n3141 32217\n59070 96235\n79772 83529\n59138 70422\n12113 14976\n72045 85773\n84122 93374\n4495 96287\n26992 78951\n23739 53707\n38970 43412\n46750 66549\n4585 74676\n12341 45740\n69105 73127\n45573 82357\n1435 47019\n20373 39302\n3147 70038\n46756 65278\n21118 70883\n53197 80043\n88597 92942\n11214 96663\n38462 62114\n81525 92353\n26035 79362\n25664 59002\n28676 76532\n64859 85155\n56 91552\n75664 90214\n76477 86858\n62225 86831\n29836 91304\n910 52435\n21145 80342\n73475 96843\n27936 53948\n25246 78313\n11977 13973\n45957 88084\n12662 43363\n5017 68944\n42031 88687\n47287 55302\n1882 18074\n13687 96808\n40608 71211\n87437 91099\n50092 67739\n66138 97506\n3037 34154\n9429 87039\n2857 24247\n60873 72749\n37707 73902\n6289 54543\n70898 95271\n75084 96344\n92255 96440\n10539 38560\n56816 83224\n37773 51308\n24270 34746\n18691 38285\n31010 44486\n5533 52160\n71678 99066\n34844 81934\n2466 61792\n55568 72193\n30507 84475\n75693 98547\n75268 94933\n7107 71191\n40527 46099\n41636 93156\n86765 88751\n63066 88847\n77380 80513\n39442 57157\n5593 41670\n39702 40019\n8991 43642\n40237 89061\n6904 36051\n15391 89676\n30670 71905\n16859 84108\n48520 84058\n27528 61272\n34707 45617\n44726 53786\n20579 91122\n57634 65976\n50193 70961\n28762 99861\n23111 59279\n12442 29996\n18976 19246\n27437 63644\n44527 72576\n31301 62070\n70961 88624\n4765 25320\n56090 95983\n34640 84581\n32723 93231\n33989 64457\n91290 91920\n45167 85245\n78574 80682\n46765 49429\n73220 94726\n1240 62675\n28852 29474\n21226 77237\n44064 98574\n37459 68102\n15652 18198\n39292 58078\n57561 88364\n65599 97344\n75768 88619\n38509 91360\n28202 92822\n12043 67666\n50985 93070\n11696 25799\n41068 70372\n23147 63630\n54182 70878\n76504 96412\n29345 43801\n26244 78171\n37395 97831\n24566 49915\n4691 62718\n43615 66962\n53429 66866\n13883 77843\n50661 66779\n49916 51941\n21328 67447\n6438 28597\n42207 88611\n17538 34741\n22594 45420\n21344 51734\n74387 82023\n51662 71381\n16349 87796\n29422 83603\n8015 72409\n6452 27303\n25809 64779\n32345 62185\n36863 69008\n5795 28702\n78833 95127\n22624 24496\n9119 47965\n12445 59727\n7088 83004\n12063 39283\n26933 59212\n41410 71751\n25518 69837\n26740 55955\n30792 40599\n5237 23289\n72652 85664\n30580 39663\n63764 68024\n59727 85424\n53758 95493\n17693 58877\n13523 88124\n19153 38107\n30800 88208\n9387 16744\n76344 93293\n86539 88010\n4994 28966\n47625 55796\n42505 73669\n45520 76772\n46836 86693\n26402 65991\n21024 70410\n58096 85481\n35706 50583\n2782 6146\n75454 78124\n2035 70521\n26166 63768\n20141 29496\n74509 88792\n7459 85743\n8773 66579\n54783 74963\n33639 55042\n26104 51887\n22947 28988\n14205 67881\n88379 93320\n6842 26399\n51552 64999\n25596 62074\n28086 68533\n46416 67798\n24335 79215\n64944 74268\n3812 76987\n39409 59260\n17049 31054\n34453 98916\n35497 86601\n72091 79809\n10921 19455\n82617 84880\n12033 71520\n5039 87709\n43430 77901\n11812 57372\n22416 42491\n3152 31269\n67557 75908\n20034 91387\n14605 36540\n57977 77343\n12030 92524\n26761 63464\n5318 91042\n64287 76117\n25209 62876\n65219 84614\n51952 68798\n15042 53146\n34507 99801\n61255 93206\n12385 20068\n42601 82581\n3585 59567\n2992 92278\n30553 58920\n26834 34192\n56974 60683\n3737 39130\n26271 42372\n3739 97499\n37543 70410\n16381 96886\n16664 80650\n36697 55153\n69665 77745\n19387 39974\n13546 63695\n36117 71039\n15150 78048\n55090 59316\n16578 93550\n83893 95307\n36478 69113\n2408 23378\n52771 78126\n38160 50998\n36220 38450\n16825 83218\n39150 64481\n71838 98256\n3857 32504\n1052 38187\n25480 46174\n58176 85883\n38719 83866\n14730 48254\n65902 70244\n44863 88475\n1478 17433\n41050 47914\n8145 51746\n30483 60506\n16256 81019\n60084 88567\n34777 36333\n2016 53693\n61351 86611\n12112 69155\n1371 98969\n57389 80979\n66382 67524\n7445 42532\n15510 50122\n41939 63692\n28577 32477\n9557 44999\n23844 57963\n87797 94588\n40507 73396\n26339 30041\n66746 94270\n24587 58019\n7876 18031\n16660 65462\n30328 60345\n4322 64581\n16665 31693\n7276 77354\n749 10621\n5021 56738\n27877 71381\n17836 61488\n13564 64295\n89220 97265\n1493 38164\n12628 67188\n35034 68641\n1278 71649\n30590 59679\n15440 77696\n645 46453\n38490 99662\n9645 35474\n13432 49473\n25015 75071\n73711 80794\n3995 41256\n64285 75758\n22688 25464\n48216 67507\n40230 62543\n62760 99438\n20675 57830\n12375 82810\n80653 98328\n42735 82354\n50405 63063\n57332 83940\n26324 98033\n90484 97487\n63968 72021\n53917 66005\n47965 80458\n2883 76320\n12703 18453\n19076 48549\n17943 20897\n37302 74740\n18314 54637\n50033 86228\n47596 52259\n34010 40114\n26881 98877\n15196 79854\n22478 32408\n705 67024\n42296 93662\n89774 92382\n25641 84147\n31243 33074\n3917 31056\n18622 77184\n48490 84847\n73057 83248\n92796 93102\n1613 4938\n8288 98243\n24766 33391\n20707 71770\n44380 87162\n30962 85152\n18782 94295\n51772 75350\n9620 66363\n22978 62603\n40309 62566\n2878 97179\n14773 77772\n23048 99615\n10470 25889\n5177 69370\n66914 91127\n33522 77499\n7136 62183\n40389 77023\n16447 40799\n28212 79438\n24421 25532\n24099 65411\n956 12774\n21089 65463\n17241 77091\n53200 70605\n5471 96589\n79445 89862\n7638 21616\n41706 68473\n60076 60412\n43208 69937\n34960 57729\n45446 63130\n60614 76334\n8367 67507\n13972 35186\n22448 47600\n34723 72515\n50550 58687\n36413 84158\n22040 71827\n38527 84929\n57007 65623\n14118 84179\n10904 45202\n62325 94343\n10551 47450\n34275 67222\n252 9075\n4889 7102\n12240 17444\n64406 99056\n55644 78781\n19936 23516\n57014 85738\n34023 78556\n38009 63743\n32344 63387\n87898 94656\n67311 96921\n13542 59734\n10506 28136\n2058 65398\n27387 90058\n5441 87781\n10926 63837\n20835 36084\n21746 35494\n37538 73753\n22153 28586\n15941 46572\n18163 44647\n76469 86895\n27663 86062\n8384 52437\n6767 95883\n87437 87706\n90171 94766\n6996 52061\n38367 95637\n5999 36319\n40821 44563\n38541 51504\n64818 72370\n18983 23087\n42379 86842\n17724 21109\n14082 18430\n35161 52592\n72691 86424\n14601 23687\n28274 54112\n32154 34107\n8616 18898\n4976 72488\n22975 87017\n34895 95113\n38530 82883\n9630 36485\n49889 69157\n4620 96089\n27472 27497\n2425 16272\n585 1851\n39648 71426\n94413 98755\n11852 25763\n11453 82582\n19262 30637\n6044 63510\n19178 69580\n30164 79802\n16798 97508\n42398 80455\n31619 89606\n27438 99775\n75155 94590\n29654 39195\n34824 86988\n60573 85011\n20473 29095\n35576 75830\n38807 42208\n40340 50986\n57163 61423\n23708 41813\n62141 75249\n2404 70675\n56048 79079\n59514 67520\n42509 71717\n58077 73600\n16809 23764\n35536 36900\n42367 78339\n45563 95833\n15113 25256\n16537 46688\n13349 13553\n36265 90301\n16226 94441\n5744 36817\n62457 99269\n31467 78668\n1006 32243\n31132 43769\n70259 95803\n18816 94139\n34717 84748\n44331 88517\n24446 52569\n32040 74975\n31728 84953\n5057 80078\n57195 81250\n9970 87445\n69103 74288\n49778 73166\n18714 55645\n16439 89435\n1052 43356\n64025 96198\n41511 41614\n19573 84807\n66165 76489\n62593 96216\n63021 90609\n29290 33897\n29272 51334\n50587 56533\n18171 47608\n15385 25540\n15532 67809\n62026 81662\n16793 81144\n7454 82626\n17718 86658\n9465 88178\n36609 62922\n55640 57910\n5144 26852\n7957 74000\n83163 85731\n73524 80212\n16550 55558\n31704 80688\n7627 11934\n4936 46149\n18102 44136\n3972 96579\n20811 61038\n13816 98531\n20536 57805\n40027 67899\n27992 31512\n13503 73327\n53682 77062\n4192 52144\n41071 99538\n2193 61949\n34453 55903\n76153 93645\n54382 63145\n41283 54781\n68227 98210\n5560 12024\n32740 87054\n17773 44739\n22344 35590\n42072 59006\n12434 66345\n37247 71351\n71779 95276\n36147 66022\n15254 29867\n5391 61961\n52567 75446\n50222 93379\n76622 78998\n53659 62139\n22266 63562\n25370 83553\n63801 95800\n4382 9947\n24311 82818\n75798 81005\n50175 83806\n21664 28152\n11929 95647\n91654 95932\n11368 21551\n39979 57883\n9860 51298\n79772 80041\n28256 82755\n64199 75170\n50105 98267\n29075 77668\n10514 41765\n22852 91475\n63143 98458\n27285 62424\n8519 79129\n14375 42960\n63607 81312\n55617 82462\n55962 83856\n19801 90059\n29016 34693\n24553 71655\n23341 33747\n38058 79157\n58450 79343\n31953 85906\n15712 56433\n3709 52138\n32965 93316\n75801 82374\n77936 80994\n8551 68740\n24704 83090\n3216 71922\n6049 89627\n37377 75967\n41866 86607\n16370 93577\n15778 51631\n10925 95271\n45483 57666\n31259 49089\n21065 76505\n10210 72849\n25012 37842\n3455 73411\n80063 90248\n9108 20440\n13718 81540\n44551 93976\n58101 80825\n11485 65686\n4424 73884\n32609 72117\n14066 77129\n34076 52077\n57216 80582\n29149 37044\n37787 96898\n56303 98967\n34847 85538\n13444 85176\n11097 62779\n65961 92555\n63020 88847\n22890 57343\n62669 71709\n15988 19354\n684 66193\n28106 49191\n79513 89738\n7357 15450\n18964 41249\n25852 45164\n24810 44592\n36117 60761\n44803 87863\n10499 20430\n51768 57851\n4090 8278\n55780 59717\n198 66130\n27986 39053\n4840 15976\n68365 77671\n43066 77393\n28059 85167\n27032 54005\n80916 83124\n85450 87765\n3865 25280\n8454 88827\n60286 86611\n62350 74268\n19948 51780\n2384 99821\n25280 29316\n2043 72073\n6948 74554\n62472 82677\n11442 59927\n3378 52440\n7041 24849\n8076 81683\n29860 88443\n89354 92082\n26496 39250\n55963 72835\n13767 73638\n18857 26070\n33281 54593\n86196 96559\n73351 84336\n21246 99625\n17527 54070\n36936 40834\n65182 71078\n76470 79242\n15847 74060\n66574 79712\n25499 34420\n25112 42207\n14977 43854\n59592 80271\n4746 45097\n30013 87098\n15953 81725\n46930 84415\n8438 97890\n5177 44393\n5554 90376\n74922 84413\n71924 83081\n8256 93438\n54581 96313\n3472 44844\n28570 90779\n7234 33019\n91742 95890\n7988 13078\n20124 21459\n14563 84089\n256 21664\n21810 71449\n4471 49749\n1642 74828\n4041 79620\n33833 76499\n11819 27530\n23625 82826\n10137 24974\n74430 92759\n67939 71883\n5668 75232\n65907 76544\n85176 95786\n33486 83210\n7849 88772\n10365 87158\n6737 49383\n47624 87258\n9351 55363\n36050 91109\n2346 91405\n10859 21529\n51590 81938\n56289 56422\n14054 64369\n19529 33889\n33042 48464\n16592 79928\n10005 77582\n4052 73366\n10711 53448\n12834 20956\n43684 93558\n12840 52190\n35313 94679\n66752 97189\n52583 83976\n38962 58263\n30925 70916\n49247 90526\n56776 73590\n8218 32161\n30064 65435\n10008 83160\n54510 79408\n48925 61223\n28489 37546\n20081 30177\n14754 66098\n35120 89815\n10572 74295\n30460 82501\n64298 95649\n34767 98833\n36512 90085\n15504 30234\n20739 30856\n17338 55124\n25083 79431\n22014 75124\n16736 59153\n26336 84351\n16751 18039\n31631 56568\n24501 66109\n44396 46603\n48456 63158\n73830 94581\n68429 84576\n66998 69756\n48366 82690\n13718 98400\n61795 86283\n47152 90359\n37473 85181\n45736 80971\n66638 98789\n37830 93347\n5493 74476\n32335 63330\n60663 95396\n2616 57932\n35794 90105\n52657 81640\n61106 95009\n2285 19378\n23142 58196\n75811 84043\n62424 91164\n64541 74134\n10779 55334\n70059 99493\n30782 75013\n54586 94104\n40788 77174\n91322 96634\n55072 58143\n45758 81556\n42235 57402\n21463 47269\n13307 89992\n67649 72267\n15849 43705\n70791 98891\n5627 84411\n61405 80473\n52366 79216\n27495 34091\n22356 97811\n33303 59095\n27465 35087\n1069 90447\n1441 15291\n81454 81762\n63270 77338\n6779 63973\n14765 39951\n13594 48510\n11769 69704\n13451 58752\n17721 35073\n9694 65489\n11827 45530\n38456 77535\n1300 44051\n70399 74040\n74951 89707\n49177 83778\n18035 23792\n17215 97628\n61401 99448\n6819 49298\n5568 46762\n21280 98365\n90340 91651\n14086 76473\n27318 30437\n10279 69354\n23571 52726\n3144 82895\n39594 78633\n55146 75968\n57993 74538\n24497 40891\n43686 85469\n77231 78344\n5229 31284\n12625 42960\n15224 63468\n34801 71635\n46451 69457\n77663 83657\n24275 36457\n30881 94286\n52545 85396\n2112 23598\n27871 44607\n10016 38570\n15416 60615\n35404 59557\n15400 79278\n23024 24702\n3881 46456\n44735 88059\n61540 70970\n6311 61594\n8486 42065\n8454 69792\n14399 75008\n3334 35902\n77354 99845\n30805 31096\n4768 32316\n30053 51984\n1215 18633\n71554 79902\n74008 80501\n58630 86610\n31655 72815\n40747 65059\n59561 95290\n31105 86053\n70783 70885\n70359 77332\n55788 64084\n65767 74715\n16500 30257\n1660 71873\n17419 72736\n82521 97634\n2173 49125\n68666 73530\n51676 58730\n36694 70788\n27491 66892\n23346 79360\n35873 72469\n11613 94051\n78832 85663\n49402 93697\n41871 50118\n31055 97467\n13557 86822\n41031 58177\n61705 68429\n23062 49558\n33198 50044\n23121 59294\n73175 96272\n29053 65694\n47477 98420\n50027 88367\n26308 55222\n31414 41193\n24970 26165\n38240 69778\n49096 51116\n57916 96350\n84106 99628\n55305 74965\n19237 91628\n1251 59812\n5322 87910\n24124 85619\n24490 76910\n18498 39189\n21966 94753\n542 50487\n39153 98079\n20631 57666\n34482 58169\n51840 54978\n28556 95563\n28977 96496\n26603 90887\n81635 88438\n39920 52553\n31883 73284\n10916 47297\n41844 49264\n6959 10130\n4295 21556\n4787 75021\n927 47825\n15091 44616\n27277 75289\n73444 93709\n5683 32847\n4589 38917\n32578 33507\n6184 59994\n68462 83280\n64346 87667\n21556 68193\n52853 64779\n37758 40690\n71600 81902\n10785 87911\n25677 76232\n42276 63401\n40446 65161\n29838 37751\n4987 56110\n28022 36983\n28192 77208\n6758 9862\n12149 84280\n15599 27258\n50403 75099\n22970 39536\n47053 67575\n37623 82785\n3192 79214\n26878 40378\n65334 96512\n19990 34610\n31594 79866\n15225 76336\n61503 79052\n3446 34647\n14945 71436\n5111 30369\n46872 95622\n49156 79368\n24584 51012\n7770 46327\n43591 92190\n9147 97724\n2457 86183\n64647 65154\n4846 94432\n5802 96522\n15397 54327\n18383 39385\n2087 34307\n235 17106\n41033 57145\n66658 83890\n80836 94352\n92532 94650\n63405 93031\n3042 57824\n96803 98882\n40393 52842\n41824 46851\n63690 86254\n50406 88199\n2242 8326\n40419 46246\n4811 56373\n17562 61062\n23434 86084\n46917 65197\n82728 83956\n12211 67286\n45102 85828\n31291 77700\n66124 79051\n7224 84695\n19457 79053\n6704 62419\n25631 33049\n3582 28253\n246 15514\n13730 95917\n92875 94303\n31614 35844\n32978 37411\n19583 93526\n45337 58753\n47962 83180\n6347 46137\n509 67051\n19716 58713\n20202 27469\n5341 87923\n31325 90475\n8182 46828\n51323 80595\n76053 90804\n16492 93364\n23848 72926\n63874 66858\n81204 86294\n48943 79155\n30717 76678\n81336 98932\n3872 35515\n32616 60645\n25633 68605\n7039 66827\n31749 48083\n29571 67884\n37922 84775\n32373 69960\n56115 82623\n19611 77678\n41842 53225\n47821 60022\n88343 97913\n2611 24025\n31143 96005\n3227 90263\n34458 95889\n33339 86877\n48665 99863\n22298 72579\n64114 95343\n32601 40774\n766 75935\n6991 59317\n39374 49921\n43884 71366\n18233 99284\n5993 20415\n13697 93809\n44784 93006\n8989 26625\n4310 53252\n34337 35857\n25149 33406\n27336 73805\n88689 88761\n14288 79029\n37337 99379\n16525 68850\n37795 65843\n14089 62412\n1139 18341\n50690 76938\n7714 80301\n34060 85387\n76499 95407\n13028 99270\n50039 66442\n54276 62728\n47670 99875\n45311 71092\n61248 71048\n57068 71848\n45704 78049\n85984 86414\n38278 59142\n78178 83205\n54890 62330\n16296 55247\n33143 69751\n5806 27141\n42004 50130\n59389 66958\n50523 98884\n58273 99772\n50913 58020\n41136 88083\n636 61727\n6223 97615\n14335 86258\n62760 83194\n25835 90156\n23884 39523\n49126 64406\n15618 32178\n47505 70279\n81894 89791\n1878 66328\n48312 66291\n9752 58682\n76067 87246\n47362 77196\n7736 33672\n23248 99686\n21464 97836\n19020 75749\n45310 62206\n11896 41605\n51712 56035\n15498 61555\n11516 75582\n37196 86457\n66244 79509\n73845 86983\n36525 50647\n68271 71428\n33464 47512\n11863 47773\n58522 77156\n46795 48853\n992 99884\n26368 53135\n49811 70600\n34921 83228\n24183 29558\n5010 6381\n85458 93448\n26932 36746\n37540 98681\n20508 87735\n31367 64417\n12634 83706\n39625 99348\n49383 66471\n73273 86454\n42648 75211\n46500 46848\n29774 74191\n37292 82781\n56339 85857\n18288 35464\n90599 90659\n83816 98564\n10977 51588\n20593 93050\n66849 73669\n17728 86242\n19779 92832\n58580 91147\n58493 82622\n21736 23864\n26924 72387\n18634 37660\n19731 73390\n3391 97392\n78116 90153\n34935 75736\n16559 60024\n4001 58696\n46684 71186\n69347 90919\n32010 51690\n20903 29413\n43485 79872\n32402 70062\n41725 71768\n6730 44760\n60478 97459\n30545 33764\n63372 91275\n1573 74357\n37033 84809\n88415 89099\n27284 60173\n20299 22169\n76990 81196\n27798 89168\n35777 42541\n15722 73900\n28526 61573\n76562 83618\n22387 92105\n63289 96196\n6601 81578\n47972 55494\n1771 49854\n27433 48912\n6634 32769\n23826 48803\n18550 69603\n53964 88419\n18161 79707\n43951 51637\n31654 34618\n6343 46186\n57916 68896\n35498 59032\n4830 51304\n21351 74808\n25037 83247\n30393 95962\n18179 25615\n23594 53075\n68470 80279\n260 25598\n38597 48744\n33369 36852\n65732 91778\n69882 79586\n61548 63989\n43672 79648\n4513 24547\n67246 72383\n22915 31615\n17148 48624\n8973 43919\n16016 17283\n65972 97560\n5788 93543\n7364 24734\n91167 98606\n42948 80414\n30743 54539\n13960 32617\n34853 93338\n6868 54564\n68801 70144\n34574 86038\n14573 37988\n12509 50275\n31816 60148\n15174 84071\n37440 50422\n5094 59124\n52251 74926\n30206 59373\n29325 53312\n79958 88330\n1940 38744\n8192 41866\n18088 82787\n3605 51496\n3682 97060\n22318 58079\n30995 33931\n10769 92119\n23641 41653\n87268 93866\n68999 88446\n6497 24841\n43338 46782\n37541 84909\n28562 57677\n36152 97097\n48533 95028\n27800 87868\n49526 72327\n27808 82075\n36585 48442\n8949 45513\n85721 89720\n66278 89217\n64822 68924\n8258 19473\n23055 49647\n34895 91251\n30618 43478\n70308 90594\n41476 50014\n10001 71091\n56126 74875\n12295 69754\n84283 84676\n61057 68820\n11532 42013\n2896 32158\n10128 86667\n2858 99170\n20066 65889\n5427 17231\n50161 98792\n7965 12049\n1588 68234\n27715 66222\n18768 28838\n51428 87498\n21326 28069\n78620 83285\n58624 90678\n55077 98369\n39145 96007\n53256 84796\n28345 28946\n1012 99872\n3046 56240\n73306 88081\n46925 86783\n55471 68933\n27759 75768\n21984 72120\n20427 65764\n15289 53075\n34089 50243\n37419 45011\n14173 42326\n59199 99665\n37143 88509\n29209 48065\n35123 84594\n31073 87681\n34429 76531\n9065 13638\n9866 27849\n71437 97959\n13 18903\n28935 46523\n74173 87451\n3862 62769\n39563 75093\n90516 91758\n19607 34135\n13743 19229\n5401 89063\n25431 37146\n22395 71469\n82513 85142\n36415 65550\n33403 53930\n71683 76413\n15767 17145\n27472 49397\n64018 75894\n36078 51501\n686 5329\n38780 45819\n65983 89974\n16398 38711\n26272 90948\n16836 38703\n16131 78106\n50575 78406\n28435 41720\n32749 35462\n6294 29077\n32145 96881\n5485 78636\n2557 68054\n70157 95903\n30096 69933\n5775 34590\n39745 65938\n2712 8147\n36764 38773\n53746 66737\n75836 76616\n62314 73484\n17177 66204\n69794 76773\n69319 97674\n76783 89596\n70452 84401\n23325 59174\n18307 27768\n64991 87866\n2215 49956\n41316 50739\n2371 40394\n26414 86135\n15612 34968\n23771 32549\n63131 82137\n24421 30023\n32101 81792\n15915 63231\n38400 97352\n32050 77273\n17209 25596\n16855 57108\n63119 66413\n53308 93433\n15110 19849\n33509 87364\n8507 65176\n38768 68426\n6258 58634\n47398 76941\n31171 71628\n41630 58227\n70610 71448\n24111 53420\n74457 93083\n55691 65190\n47851 50653\n15349 99897\n12676 31478\n32418 80591\n949 37766\n12518 67502\n9506 87332\n27896 72638\n2846 39994\n40212 44152\n15312 54677\n1889 60312\n86222 97675\n8084 24106\n84596 95724\n76283 81340\n27559 51606\n11601 92631\n51227 59276\n993 62267\n11122 70006\n6161 58709\n16449 50965\n47436 59704\n70118 93387\n148 36935\n70370 84909\n25916 47657\n79160 80137\n14760 19376\n51172 68910\n41410 67676\n79414 99680\n64304 87090\n65234 82050\n88963 90289\n1947 62901\n52710 89378\n34459 63273\n21918 57523\n45231 98807\n21291 30832\n62886 80319\n67792 99912\n51707 88055\n17969 72936\n16000 39672\n4918 62963\n74987 78130\n10119 82951\n12238 81623\n1094 56810\n22090 81900\n4888 88847\n5112 88982\n57230 95118\n32887 65061\n59324 83394\n16184 85368\n1301 9519\n19963 24883\n60931 99524\n26323 76930\n23072 88051\n10123 27672\n47661 51056\n43211 79831\n35750 50523\n2297 93142\n8893 35761\n24012 47396\n9272 24943\n46081 79800\n53374 55448\n28849 53364\n9240 63840\n6727 24697\n34379 91318\n20324 67917\n16157 74015\n7926 57713\n30065 74925\n11557 31224\n35431 51642\n25699 99775\n28060 59252\n18543 87878\n54828 81580\n11769 68577\n23041 81702\n31874 55245\n69974 77120\n48626 54780\n19843 60561\n72551 81800\n84659 98983\n799 40120\n14265 63775\n41718 57013\n43544 60339\n39637 82309\n56884 96487\n34066 45713\n58023 73692\n19485 72984\n36887 71499\n8253 30642\n48544 80899\n59940 82811\n88481 96426\n13392 15913\n18647 89510\n57411 90756\n36089 63186\n7341 53801\n54692 67119\n18464 51413\n42728 69493\n38691 52598\n61139 71309\n56099 67678\n67656 73376\n53678 67323\n31996 78647\n77764 91638\n21206 95602\n75082 84720\n45929 57123\n17142 85513\n30217 96376\n54448 93641\n7614 95727\n79094 92562\n9962 66422\n84775 88420\n29415 65587\n15023 34921\n28347 54121\n9257 62078\n70069 96411\n16616 68499\n21883 69719\n40364 40718\n5435 77422\n61513 83050\n12313 99444\n29168 80340\n41491 48796\n10340 66995\n1952 56708\n31025 38612\n57750 96538\n7170 84576\n5859 48362\n92397 92915\n26778 84809\n11015 58439\n43321 77431\n14549 48162\n34125 42017\n38190 46008\n37172 88308\n56519 98090\n3699 50360\n69036 99773\n34628 96693\n21767 32658\n32213 54591\n10897 77592\n17354 28766\n72860 89688\n26917 33499\n55762 60130\n11816 79240\n62870 65647\n29334 92947\n24700 79443\n26141 88820\n1462 96218\n41371 45424\n14805 40801\n43579 68499\n13499 77474\n50889 73066\n36876 58871\n2564 74747\n34671 88080\n26971 27678\n21980 41108\n24188 94760\n42960 51076\n1133 10366\n3710 58296\n18368 72726\n57498 98914\n29189 88927\n21293 31598\n61524 91945\n16780 18249\n32602 53913\n89075 97427\n16375 91784\n75149 99934\n32074 35404\n6338 97969\n32008 77521\n21452 94536\n17686 29154\n24839 87217\n35894 81879\n5556 62086\n27867 42915\n25428 27855\n74902 84158\n17798 29930\n33846 47011\n43902 80411\n33243 44740\n18353 82000\n38958 84115\n63843 76585\n20368 96012\n47724 58128\n89699 96533\n65171 90506\n57996 95284\n25167 97152\n72092 90620\n49155 62466\n36104 97432\n25974 36560\n42728 65192\n4739 99491\n16539 42429\n9343 20927\n11291 27649\n25849 34969\n22340 70297\n4114 38155\n6413 65570\n19574 69901\n71467 72050\n18284 65303\n27853 70917\n15669 94228\n15649 24974\n33714 79771\n2750 96771\n324 12627\n8790 75608\n15824 78589\n43926 65373\n63169 82273\n27361 65310\n26197 54154\n85140 97172\n15986 73201\n6514 53154\n2223 53027\n4787 38215\n97920 99127\n61156 88587\n2098 93491\n24636 79849\n26144 90054\n33875 46016\n91843 99772\n9590 83060\n67495 91905\n86966 97231\n24227 65390\n66148 77927\n91274 96899\n11406 60353\n58581 65149\n365 71031\n56237 75556\n27651 64520\n17065 37999\n31344 50841\n50955 85284\n24712 65096\n4406 22286\n23001 76690\n671 64494\n58000 97092\n24931 49205\n36893 73030\n21390 45971\n23435 60130\n2384 48575\n22855 29604\n1733 61256\n17750 66256\n24827 25646\n32526 88782\n10507 20870\n14834 50338\n64789 77269\n46097 51147\n2064 70367\n25054 84351\n10405 74225\n55611 56272\n580 88030\n3481 69769\n14753 82187\n34335 41269\n62652 86323\n68624 90133\n8958 88939\n70621 85445\n5527 28053\n35146 41007\n3178 81016\n53183 60550\n20694 88423\n30944 95119\n11658 71300\n57592 73676\n12580 28403\n27324 82455\n64188 95616\n51188 72491\n33759 71598\n73558 75652\n64703 66489\n18306 62259\n64611 82761\n56686 82111\n92732 96254\n5359 73128\n32979 77128\n22511 50748\n30854 94936\n90073 99989\n41492 52768\n19241 92994\n14589 59192\n21763 56684\n3101 29629\n73889 89127\n16282 81937\n50327 55296\n65472 98081\n61528 72625\n28895 93158\n80800 88585\n42537 67077\n1551 7961\n1943 9537\n47780 75665\n18450 40531\n40157 67003\n25207 95949\n19641 59361\n4024 96314\n1107 71803\n3940 45497\n25478 44570\n15706 40524\n15864 97375\n6425 16765\n717 57378\n592 3557\n43429 56581\n10253 79096\n13895 47639\n74471 85965\n160 40330\n10657 35309\n17261 62986\n58574 81508\n17398 61963\n42296 79383\n22569 37205\n10681 74416\n29310 85506\n73361 83991\n48928 94254\n25102 61402\n16223 23055\n29520 58599\n33045 93933\n8638 80722\n39890 89765\n56236 83944\n9367 90748\n54743 59262\n18552 71516\n11905 72098\n39955 70856\n21532 51344\n46779 93905\n9753 24421\n1346 13843\n22043 70947\n35101 36364\n71884 86827\n52991 86492\n37498 82110\n85101 87554\n43503 81200\n7950 70533\n9043 29958\n29108 49139\n41644 60908\n34329 96757\n20726 35720\n13878 49814\n34269 37145\n34689 95829\n65320 93097\n52538 92370\n29974 35538\n40305 42253\n35590 94490\n48813 64529\n28896 90735\n35740 56004\n35387 53190\n25759 52194\n11041 59195\n20913 59005\n16205 28461\n47373 74841\n41394 71808\n7222 39248\n41582 92331\n11758 54053\n61682 88032\n69069 78896\n56002 63512\n11044 41090\n35871 98611\n6408 22318\n44225 78382\n1481 35352\n10318 16466\n2217 22806\n55681 69747\n42497 85576\n8048 16009\n2211 87715\n13800 24251\n40386 81047\n5992 80785\n23480 95186\n22062 63848\n5035 86376\n56070 68370\n33897 52204\n61719 86898\n12282 73847\n12499 34957\n70735 86641\n42507 85889\n7672 11691\n36134 50342\n63317 70339\n60426 82215\n22991 57782\n69399 79441\n3456 58943\n10527 81858\n3053 54247\n31729 42151\n38887 93744\n27664 88426\n4559 17194\n1589 33555\n42017 99075\n11042 89794\n19519 63362\n12776 96301\n50357 65459\n7870 68872\n10400 63732\n28399 30502\n64336 66686\n49069 98845\n22477 94911\n5372 64603\n2434 29160\n61104 80696\n43008 54788\n42734 58869\n26315 26750\n69160 78260\n60961 67801\n7237 44512\n46084 96815\n12145 54171\n3731 95949\n37055 48781\n35375 86011\n79637 86026\n10355 98639\n49016 88953\n38063 45275\n39546 46907\n10575 45706\n41237 97339\n3405 60511\n50370 74285\n9432 80743\n15531 34496\n35453 82164\n7021 45074\n491 90309\n26775 78148\n14252 33549\n55926 88670\n45895 90422\n7514 20757\n43576 76153\n25971 95874\n7541 62526\n85428 93816\n6617 96905\n26569 62894\n27328 95024\n38018 44341\n20255 37198\n28520 30494\n742 93920\n25704 97707\n26662 61171\n670 98048\n71893 78315\n14847 56191\n79324 99915\n12963 14789\n62286 92837\n13287 64666\n44763 96876\n30278 71527\n45227 65131\n80773 97203\n34509 49149\n46775 74608\n26047 72499\n18759 76653\n1188 44652\n24764 90484\n38429 56278\n5532 33670\n41509 86798\n64525 96524\n12601 53054\n60216 72777\n60822 73509\n18814 20867\n57076 97821\n18740 54516\n67070 82969\n67243 68953\n64037 85768\n45712 85692\n33975 98392\n8924 90276\n68993 91015\n19127 31956\n86340 88306\n42754 81389\n36396 95334\n33459 51538\n24795 29722\n40096 92925\n26502 94189\n52720 70867\n58796 90495\n6280 20153\n29373 52748\n23474 65514\n58735 89768\n17638 59298\n2578 87087\n18331 62437\n4564 6132\n7642 96156\n35347 40391\n66486 92283\n428 57044\n33363 42314\n20482 51882\n18584 98984\n34731 40798\n6010 71821\n7439 96248\n89021 97151\n6469 31916\n19990 81868\n71423 97686\n48611 90120\n21322 89011\n22938 38136\n51023 52557\n27339 66153\n23168 86135\n79626 89946\n9013 48681\n23973 52770\n14233 61348\n26149 71401\n27329 97639\n11926 78975\n11539 43750\n62976 87140\n1779 12896\n22445 88251\n60369 82255\n22397 62697\n97285 97522\n12083 37897\n22448 57816\n30825 83028\n24957 78415\n28892 33063\n29668 44546\n53512 72170\n38571 57781\n55150 82030\n14928 48747\n72353 88202\n11048 47876\n233 46665\n51934 72578\n14758 82845\n24847 78495\n28387 81817\n40244 58425\n73692 76003\n71625 91422\n15114 17557\n29907 45539\n6045 49240\n9773 21284\n17378 56985\n59155 99928\n762 58623\n7376 25975\n3051 45511\n47630 89289\n26452 94505\n40357 74638\n19187 82773\n23790 71657\n62228 69327\n55825 80748\n8087 25600\n50876 99094\n26959 38914\n39300 86022\n60186 68763\n29281 77220\n59856 87041\n15663 88778\n12912 40380\n50975 51482\n26806 52127\n18468 28609\n13397 84386\n43906 44115\n60252 75647\n10956 72354\n23954 64530\n71250 76110\n44670 56379\n14367 56056\n37977 98813\n64100 86396\n9465 48624\n39183 47331\n32280 84245\n18155 58511\n31810 54704\n76994 80362\n21726 98801\n60015 79251\n3415 38708\n13593 68754\n21271 63480\n46652 74449\n11571 57223\n20096 49994\n72729 86323\n87877 90395\n24468 66687\n49022 85552\n42629 49579\n26563 38456\n51885 55915\n21125 25013\n13886 56787\n37929 42253\n1090 22722\n1635 18299\n14657 78327\n25838 77997\n25620 52296\n27091 42827\n39206 74211\n30525 48487\n18150 59852\n70749 74263\n13213 60160\n46773 58571\n56814 92692\n65300 74722\n1984 23436\n1811 16319\n13740 77675\n87701 91040\n25899 90127\n22730 75232\n38300 97396\n47450 60687\n38991 67772\n13291 20228\n36538 68123\n8757 21341\n17131 53338\n5021 66990\n29245 40161\n44135 65364\n8315 15820\n29242 84999\n89718 97043\n33443 53411\n62159 99657\n53790 74714\n12880 31212\n10286 56604\n10294 83338\n12355 68373\n16438 90338\n8140 92516\n52117 80511\n27452 28327\n17916 52161\n51246 52082\n33264 45773\n10976 23510\n12557 44248\n43503 59791\n15385 59067\n47506 60749\n48478 73587\n9775 66286\n26716 53747\n4761 24171\n25725 95569\n9731 86945\n52578 82475\n57742 92592\n5164 38288\n46369 66172\n27360 62042\n86096 87640\n57431 92873\n31141 60371\n33373 33395\n82141 87204\n60286 83784\n55772 73761\n75612 92145\n26793 70177\n55864 64368\n36697 82150\n17912 45517\n33192 39732\n41309 50167\n19156 19556\n17900 43256\n10866 12085\n20134 64940\n431 2566\n1336 26952\n64952 90223\n94891 95263\n5778 82140\n2305 3376\n70296 92792\n3166 57715\n52036 92876\n71767 82733\n56 95206\n1801 21955\n46837 53954\n21089 98421\n76730 90654\n31345 94147\n28318 75913\n64395 89129\n33491 71883\n75741 96176\n34069 78714\n28094 73134\n46932 97720\n25354 68278\n36270 79432\n6349 53102\n3850 33486\n38548 81087\n9835 48160\n59907 81545\n16052 19890\n13222 29200\n40029 64493\n45695 58962\n36226 87612\n13752 84438\n21082 90691\n1548 80180\n5628 87387\n10856 87275\n26764 53612\n58678 94718\n10599 62647\n45261 87541\n11633 75794\n10755 60900\n46987 62549\n47774 86816\n26796 59026\n70672 79754\n17807 22777\n55932 93563\n70289 90904\n8061 64515\n53009 75023\n7367 50063\n7319 72346\n16153 81189\n36306 40981\n38841 86875\n11197 48308\n15179 79469\n58928 68791\n3551 31345\n63719 85721\n18148 87248\n54108 69884\n70079 84774\n40892 97163\n35768 98615\n45922 56611\n11348 81140\n21842 34873\n68456 81329\n1425 52830\n45815 75384\n52875 95114\n5327 44004\n48600 95086\n61931 63245\n70111 84941\n57844 63479\n18401 25974\n9914 93114\n2978 61025\n28854 48818\n59320 83520\n621 52553\n66490 86238\n13827 50454\n21889 22395\n49984 53228\n19179 87606\n60884 78775\n32042 59627\n46848 60650\n44307 51077\n12798 39368\n2295 90408\n36606 74626\n45061 87310\n11412 44644\n14958 17079\n3558 92080\n15919 64493\n15398 38438\n64685 84917\n17060 29903\n57799 70518\n30896 87457\n17724 43478\n39573 95173\n8705 31350\n38020 69929\n44020 81584\n10616 99010\n29950 54900\n9432 53747\n30257 30508\n85176 98629\n25803 50563\n67054 80292\n53148 87943\n43366 82017\n25966 96400\n36937 70261\n9544 26139\n46429 49035\n34300 45923\n46317 66195\n10125 35399\n22740 69638\n7995 40198\n38999 89796\n57468 75620\n39280 58531\n13752 60112\n78834 93229\n1165 74937\n35166 40738\n42811 56683\n24724 87613\n22265 81320\n37691 83523\n51552 78418\n20896 42069\n12382 42881\n55422 83777\n91455 98846\n36498 74866\n9887 60228\n7880 10675\n44851 60628\n78546 97683\n26558 55564\n17551 62754\n3566 76719\n27751 51676\n12483 44981\n26418 77598\n85580 87687\n12422 54262\n20517 25156\n62472 71439\n57739 86533\n4858 12459\n14047 45209\n10878 50963\n46112 71996\n40051 68250\n23857 72171\n13630 31310\n26368 86197\n8326 35202\n32188 47739\n34671 99699\n24607 57833\n26011 41522\n13141 32391\n59193 96236\n86056 89234\n49066 61058\n44493 77258\n3741 18775\n28353 99255\n55315 80524\n45002 56257\n12652 22599\n44636 52715\n35397 70342\n30352 37373\n24236 24463\n13714 89982\n46971 69601\n67474 70841\n47226 64076\n35229 84748\n8666 17647\n15555 48024\n25029 72047\n2346 66316\n35009 72509\n67970 99116\n7832 22747\n13291 42525\n45736 92540\n64740 89299\n41751 58601\n36001 57875\n33604 75794\n24744 96668\n26612 93182\n51385 73951\n13184 94088\n48145 66102\n47312 75264\n61924 86385\n61817 79221\n16330 53633\n7544 92948\n29323 60713\n43569 95895\n24052 98162\n9111 22103\n39223 97987\n38285 61772\n10788 77539\n35172 54586\n9636 71117\n34267 47607\n36785 37681\n19420 51089\n23075 44278\n75895 81786\n12082 84898\n14192 96449\n70221 90683\n26448 74622\n49132 85652\n92241 99279\n32409 52409\n18437 42702\n17310 18341\n16591 26753\n64945 97614\n32313 88109\n23927 87602\n73133 80428\n54783 66739\n19543 78143\n45966 96228\n6490 60034\n478 18425\n60767 92861\n42493 82258\n40976 57818\n25997 82788\n61501 96966\n2670 21592\n6250 73024\n42775 83632\n51692 68843\n40708 62142\n15016 28944\n7234 90613\n5802 75313\n11183 14952\n9964 10376\n55794 69985\n60220 74452\n23954 72640\n79113 89278\n26248 33021\n75401 93376\n33957 98205\n75585 78302\n26660 47518\n17843 91025\n813 77652\n44911 73162\n30793 51049\n15982 35924\n14543 16619\n5564 85445\n30972 56913\n56501 85977\n84136 92923\n6573 94727\n59254 79793\n13660 49583\n45208 93765\n39680 55695\n43118 72236\n2201 33685\n6333 62648\n67057 95171\n4380 29782\n72117 87951\n64025 68507\n1363 25839\n48390 80533\n9520 33011\n650 85819\n40862 70339\n56748 72518\n8656 27251\n55502 93428\n26152 71071\n21762 43247\n37144 85705\n18936 75146\n1028 75636\n98344 99902\n37372 47307\n81564 91584\n14746 88402\n59495 61252\n5273 23191\n13778 79202\n39214 41186\n58559 81973\n34592 54592\n32534 67708\n6110 42847\n56309 80722\n7799 55498\n15294 94156\n31338 58068\n38182 60180\n42919 61433\n4181 31030\n69900 99663\n41125 44439\n42753 55258\n634 80387\n1470 32938\n37120 89516\n28244 70811\n21058 71682\n18688 99949\n44328 72736\n20698 29173\n32380 61126\n1927 86778\n28211 86698\n16708 55868\n39601 62903\n72032 90511\n21973 85981\n8672 28976\n53630 78586\n68202 83243\n50 52009\n44688 79841\n69364 96991\n27529 45016\n30586 76933\n7865 27093\n37243 47931\n717 53650\n70780 84529\n4147 53198\n13211 23493\n31361 72929\n40725 40931\n92530 99520\n7786 20697\n24427 31333\n34181 86903\n85983 92894\n53909 59556\n27093 51554\n24637 73569\n52550 96118\n31581 40397\n11798 17800\n87637 91555\n87372 89069\n25777 28026\n55867 95003\n44990 90792\n58014 78286\n65861 90790\n1843 36976\n63495 83218\n13175 91783\n5185 77633\n35610 69899\n32313 69565\n25132 66058\n28731 95818\n30624 59347\n20653 99535\n89630 98590\n22842 85613\n1116 32108\n58090 79642\n80934 95631\n9272 25708\n83753 91090\n41819 92834\n62097 92346\n35752 59049\n87262 98275\n649 29608\n22971 36623\n29657 94331\n6171 78445\n71198 96659\n6041 24682\n7482 27626\n35309 93602\n21712 62048\n24533 53253\n8207 56330\n87865 99494\n62475 70449\n3114 25153\n8896 52066\n39838 51604\n33581 97368\n20466 22292\n19678 83354\n57498 68134\n6342 58902\n13892 40133\n34229 39398\n96986 98489\n37201 39899\n2929 83928\n12538 88611\n3900 47653\n17263 74200\n24634 30328\n37389 60373\n11114 52150\n2468 82631\n17604 87288\n73605 76940\n76360 87329\n76661 91161\n43369 66933\n14036 81437\n31609 84099\n14406 19533\n88630 93090\n38918 57287\n17081 57926\n64458 85283\n2190 38382\n29082 96307\n84285 98992\n19425 46069\n54466 58717\n72367 80863\n11005 22234\n41417 79676\n12616 25983\n51676 66588\n162 62775\n25897 51687\n23009 61050\n86932 90352\n29335 74329\n35511 95261\n53800 90488\n80551 83118\n3135 22387\n45596 78202\n73355 78100\n33292 46024\n43279 96344\n6980 36615\n22678 94027\n80546 83611\n60663 63988\n47375 77452\n11748 92207\n6349 29347\n81075 96054\n51126 52871\n6055 79432\n7982 73572\n63294 81659\n31063 60286\n62199 67025\n50706 57167\n29175 36709\n6996 39184\n43541 79709\n16709 85566\n13723 86445\n44031 52209\n73784 87501\n23436 53324\n88529 96910\n37744 62940\n25922 81385\n48875 88912\n11389 56193\n36687 52271\n10931 27977\n14424 89071\n19270 49927\n7413 24606\n34146 40290\n75415 85871\n18239 53627\n25069 33598\n16790 64786\n25860 37859\n14231 52216\n74543 93860\n21990 68978\n49507 88617\n864 38258\n61228 91060\n44417 77784\n74418 85918\n9024 69919\n83991 92497\n46086 93422\n3671 33421\n18559 51448\n31149 32220\n20734 24448\n27649 89688\n10805 83136\n7392 58632\n71508 84337\n3301 86629\n78928 91050\n33724 99527\n60648 79854\n24857 26197\n81150 96749\n25177 26249\n8514 82552\n46488 63317\n10749 21432\n7327 70327\n2265 7039\n4459 10081\n22452 90373\n4922 99735\n42774 97660\n72207 87578\n8016 78388\n50507 83389\n55839 61803\n84753 96319\n7345 43993\n22974 75500\n10543 68007\n81314 99833\n37643 65401\n332 96331\n28198 45466\n43382 87089\n32778 75463\n1885 15759\n60731 61430\n45361 91316\n64499 68446\n72066 80595\n62592 82303\n44514 97019\n31733 40618\n13563 54661\n17464 72330\n53228 71287\n12204 38923\n3457 55085\n31859 56175\n7162 30996\n49696 66306\n35861 82604\n5186 51511\n48711 87405\n11761 14575\n2872 96747\n49406 92061\n67445 75479\n77100 88325\n5888 66379\n92667 97187\n801 31177\n79316 87683\n5793 39607\n10597 69308\n47020 90091\n29095 99983\n4176 78489\n11296 62938\n4937 26472\n42353 78229\n35753 42954\n36837 57144\n16902 73380\n70615 87658\n32806 83192\n24293 61538\n20720 52117\n23706 53330\n54122 91050\n984 97565\n14892 54336\n1373 26424\n14297 45537\n61999 66030\n71599 93253\n29027 57048\n10922 16906\n25965 29626\n14163 74275\n42341 84932\n44921 58476\n3323 23967\n58653 71555\n6902 85551\n72869 88706\n6809 36619\n41946 62648\n17898 77174\n49856 83358\n3731 96779\n90986 92957\n16237 43651\n41226 89281\n7535 84453\n37948 64484\n14865 27651\n61080 79472\n16821 97395\n10330 92557\n60502 65273\n9560 89314\n89066 98500\n43188 97414\n15782 95305\n65598 68251\n14718 77923\n34767 68956\n57517 91694\n1711 45749\n10161 29278\n46326 65119\n27741 35857\n30341 39917\n66467 72163\n22398 62283\n4746 94880\n24469 86085\n37211 96317\n13661 34691\n2550 55878\n24467 42989\n27658 66958\n32167 39607\n5732 12281\n62641 92379\n24293 78959\n42270 50914\n33058 95250\n12230 39265\n30114 78659\n84802 98524\n28334 53500\n12073 35069\n29879 89954\n49246 51148\n19010 44870\n28348 54172\n18721 93565\n21739 88110\n35006 61235\n7171 25495\n26095 46130\n1771 72406\n45432 67642\n39537 40817\n60458 82612\n3473 57134\n5729 46931\n12252 33825\n38502 63750\n59073 72946\n33146 88764\n15643 76255\n19803 35859\n65102 84771\n19926 61312\n3969 27036\n12853 63788\n2476 98245\n30082 34246\n18077 34445\n15171 93538\n79917 83218\n56047 80926\n63810 65134\n49641 99443\n20557 78043\n45535 76547\n10646 26334\n93269 96866\n56010 97190\n71378 81713\n1897 51297\n66213 98259\n35285 43537\n28178 65805\n12936 72914\n17583 74582\n34997 39197\n27647 52674\n1540 43974\n51268 74953\n71124 86647\n18906 25947\n17932 38268\n35861 42903\n164 24182\n19714 48148\n22960 90019\n67097 74296\n31975 36782\n779 53342\n17359 30773\n79980 80669\n31088 81258\n44219 68029\n74408 96383\n4664 67941\n1549 41374\n16116 45369\n47671 83633\n8654 57205\n8446 24511\n63350 75766\n2525 53796\n35756 69745\n47487 93380\n51891 57419\n55285 88770\n54850 61256\n50575 89408\n9451 54957\n6629 74063\n75849 83086\n80488 91724\n22765 74539\n15722 83293\n73745 86533\n46173 82344\n46821 90371\n61418 97634\n9606 87535\n26132 87738\n21912 28094\n402 76096\n38449 48431\n11632 99839\n11992 70362\n18580 90224\n40128 89083\n51925 74764\n20508 28142\n31029 77008\n52489 81604\n825 93886\n6131 70458\n11291 75183\n39244 62917\n5996 19881\n18925 87810\n13827 46052\n57215 77591\n59774 61841\n70804 95667\n26586 40878\n82916 98951\n100 7703\n6662 50950\n61322 89723\n36824 65881\n52807 93326\n49575 71701\n12350 60121\n44583 46916\n7586 15851\n16124 39496\n6921 59647\n78126 88789\n70317 77255\n10771 65129\n6663 23618\n37283 93107\n26926 36634\n22065 56473\n975 25733\n27061 98128\n62379 67212\n897 68571\n59923 78765\n18712 79552\n19395 34301\n7014 11362\n53777 67720\n82906 85560\n17217 97458\n81193 88160\n31202 56645\n2451 95536\n84275 95409\n43942 91986\n3537 72344\n33347 81122\n14788 33788\n50111 68124\n36975 88324\n937 3457\n29897 76794\n34749 66096\n22993 97290\n35934 49274\n16871 63640\n60332 65708\n50053 73938\n69097 96054\n50062 73647\n15797 23573\n5269 58175\n1957 29732\n88847 95232\n25940 51965\n7954 39379\n35946 37485\n73664 92345\n24127 93019\n25140 51177\n39071 70955\n24148 63048\n28957 87263\n22885 38720\n37480 68199\n38768 81865\n20067 64632\n16099 71640\n17182 59984\n39291 51469\n85647 88537\n12082 43316\n70711 96774\n7647 13599\n9125 49689\n8797 11138\n6323 90863\n41494 92735\n94947 99587\n8059 80047\n48868 92884\n15607 39505\n7143 22058\n15376 53542\n30117 40049\n34651 64946\n9505 63068\n13148 28577\n12442 68864\n61457 79811\n28874 41511\n2198 10190\n9385 16912\n24524 70167\n78375 95724\n24325 35997\n9372 79618\n27704 35992\n8413 67269\n91768 96400\n59270 68328\n75277 81987\n35722 40456\n45711 49357\n57530 58284\n33695 65915\n30836 38454\n19549 45650\n13609 26245\n20529 89661\n63511 84005\n52113 70052\n62036 70724\n24948 48246\n39975 62203\n58190 67698\n39670 57232\n58172 82817\n1351 40881\n4110 17159\n33961 88464\n8774 66275\n5360 50383\n45279 98752\n22836 27115\n50561 92564\n53344 78501\n61634 92264\n49048 84783\n82288 85808\n26425 74716\n27219 58287\n26461 55308\n71777 82202\n11723 15799\n9301 81468\n5997 29971\n36507 58502\n15885 74300\n15362 74247\n40843 54399\n49917 96804\n9992 24129\n3166 6437\n21271 83624\n48530 51534\n83089 87854\n44631 87293\n65735 75300\n124 53200\n33511 38899\n81560 90803\n52698 67011\n24408 39535\n18801 37451\n16669 66186\n19032 91385\n16171 25141\n23969 82077\n53449 61585\n63954 88975\n4995 71840\n13831 13997\n44885 48320\n18269 52160\n17222 64033\n16839 72546\n14925 78697\n28288 75677\n54192 69286\n10871 18312\n2824 74093\n47872 65344\n73563 73808\n64737 87200\n50834 67893\n20876 40913\n43056 99070\n12117 20788\n34681 43187\n85725 89640\n38406 84590\n21702 23617\n7863 86150\n65549 77680\n79319 99827\n73669 97900\n3753 67509\n1237 15114\n72325 91649\n51483 92117\n5105 22040\n48536 92582\n49611 85026\n41475 44300\n65713 82089\n23432 53677\n64961 81128\n31640 79223\n70948 95198\n6065 39869\n11513 69113\n44310 91644\n72116 77935\n4975 37537\n63137 98522\n17359 18134\n41312 59949\n13744 79242\n30658 66757\n44650 55016\n42350 72580\n3111 65673\n36329 67394\n21426 58525\n39500 59648\n35117 67324\n18005 38487\n1224 14693\n17150 77118\n41424 94552\n48086 55197\n64413 73929\n42554 92368\n50367 79954\n34865 75804\n11675 89222\n53251 71514\n41860 94519\n2605 66081\n3197 27592\n3942 87173\n76646 97107\n17323 53889\n69390 97848\n6626 60450\n17330 83279\n52922 66476\n46009 55041\n2904 28542\n23054 56917\n15893 32785\n22583 45150\n60058 77428\n40809 62657\n37785 58624\n15647 72623\n24111 31463\n17570 49578\n51605 86308\n70345 84000\n12850 75258\n7285 81119\n13458 67043\n15763 33811\n50626 74875\n23573 42288\n76375 94821\n77537 93946\n48051 64902\n40296 94758\n61182 76950\n56516 59274\n30634 67029\n27271 73360\n49792 59410\n12613 37880\n8398 92463\n11328 45271\n82617 95231\n16059 27781\n50721 55441\n48705 54624\n66969 67772\n13611 93450\n9554 15936\n14819 57088\n25305 35536\n516 31484\n20560 61920\n19964 61281\n18933 91939\n9004 97058\n26264 80645\n42669 83317\n54339 75526\n71008 98734\n35359 83216\n1238 91310\n13155 69044\n8268 28512\n2781 93028\n58649 97933\n24098 34428\n12476 63229\n13398 49223\n54077 98511\n24331 86669\n56903 75367\n40917 51858\n55964 71373\n11604 83332\n29586 47917\n79033 89375\n29035 68772\n44670 92117\n14661 77369\n66493 82059\n8597 46344\n10223 91145\n10627 51935\n21550 69670\n6846 72961\n18904 21219\n29956 73553\n58144 88932\n77336 92707\n95867 95989\n57593 59310\n8049 72906\n20323 59855\n25157 52150\n83356 93676\n10003 25246\n56465 66988\n22351 24314\n40303 89173\n1497 93519\n85945 88014\n64202 93300\n33168 64616\n74200 94622\n670 87015\n7787 64255\n42982 54916\n28857 56185\n7486 23305\n5063 87027\n32061 50737\n14395 28383\n23877 32695\n14589 93756\n44602 60423\n3410 56614\n23524 61826\n53584 65399\n11083 61789\n81329 94330\n44979 50590\n35062 76193\n5890 51151\n46529 79580\n47164 49733\n9298 18891\n53815 80588\n21454 43894\n1553 33154\n24355 75902\n4761 30237\n31420 62843\n12368 48441\n46497 90064\n7859 60736\n69891 72868\n8357 84771\n20427 74113\n27276 59834\n99816 99973\n5600 75854\n4025 68147\n3512 36329\n1449 70977\n19073 46695\n41290 69730\n35147 45951\n4661 10251\n40506 53344\n24845 36707\n60967 74127\n20821 64848\n41635 71575\n17999 69745\n11213 96259\n3151 93254\n14777 87509\n58988 90000\n8792 28560\n5031 60225\n61353 86542\n39355 92833\n36462 77097\n76735 85899\n63870 92694\n17016 56026\n133 51625\n82211 83651\n28677 38214\n68891 70550\n43446 98888\n43929 88158\n28567 30829\n76729 96135\n7141 41203\n58527 92571\n56926 61607\n21625 21905\n7141 77808\n9625 35268\n68356 72105\n77927 85905\n8751 57889\n11219 12661\n65018 76941\n46248 71879\n74114 75203\n22420 47984\n39481 54084\n1056 35231\n16463 94267\n3014 62886\n76763 86564\n11906 27732\n53324 81869\n55099 99362\n886 98255\n16140 81163\n16096 54469\n64029 84726\n25319 36768\n14674 47378\n40273 80935\n60479 89148\n57713 99468\n72759 95705\n38155 84242\n10974 56209\n41881 89851\n13144 82208\n5116 85308\n12066 35540\n32554 56207\n52465 70388\n26621 55994\n16920 92809\n68072 92109\n13531 82251\n43806 58697\n72606 86514\n6324 38360\n73030 74844\n22666 70243\n78266 79092\n2215 81521\n1252 88667\n3626 69628\n46061 61313\n368 86237\n57779 91280\n16880 25039\n20813 55396\n4534 96602\n54120 84481\n13256 19395\n14979 42422\n60301 73056\n4129 86709\n12844 45935\n3029 38978\n52326 58521\n49783 59888\n9748 65067\n80624 88070\n34416 61554\n40740 82207\n56879 91804\n1455 85777\n33181 95668\n37802 69136\n68786 82392\n69006 84723\n27969 31818\n11605 75774\n1879 35950\n32757 58667\n7110 91650\n51147 85380\n54539 58250\n40118 47258\n31698 79358\n6398 13924\n7385 24742\n23501 93514\n27366 75684\n38488 68005\n14359 99185\n37795 41192\n17235 52270\n6393 20119\n26216 86729\n48903 54324\n52062 86592\n78988 81483\n42561 96756\n30258 62632\n52297 99653\n10121 88855\n56315 75581\n28640 77593\n5303 12985\n9895 49951\n7784 13626\n17278 94016\n66541 82512\n70697 85364\n64203 76188\n21065 45112\n18580 29787\n77132 78584\n12105 69598\n33114 79868\n17728 65342\n46088 51514\n37830 95718\n2579 41696\n69290 94251\n34713 62234\n42291 47359\n50922 89146\n67126 88738\n11678 24834\n47666 80056\n3349 61470\n64503 72281\n13945 37762\n2921 51247\n26375 89555\n65708 99882\n56761 62310\n11650 33216\n91931 94921\n25259 66575\n74860 87929\n17844 55369\n12440 47684\n17378 25650\n26586 36914\n34582 45675\n14005 59019\n36069 71274\n63273 78804\n10039 33209\n57758 93433\n4377 62643\n3465 87498\n33596 72220\n19447 34855\n24863 75184\n26082 60318\n115 52058\n16710 84556\n72511 73839\n62183 80895\n19641 38794\n12366 69257\n53758 63285\n48593 76325\n95836 98363\n44014 45788\n10296 86981\n8692 47272\n2229 67673\n18174 55540\n19752 79847\n36764 71442\n23995 43803\n17828 44707\n34789 38471\n14744 59851\n16972 76766\n33262 71082\n23319 60843\n10163 52354\n27702 94592\n5152 96839\n41286 45386\n2838 63066\n30103 44775\n8029 66035\n11936 35416\n1102 36752\n67905 71880\n4927 20390\n64232 90173\n5688 39197\n9881 99326\n2624 79903\n62740 75294\n43676 49972\n3684 99060\n65698 89104\n46229 73895\n50940 88498\n46309 51529\n14353 83485\n31587 72504\n21228 96005\n83377 86321\n38788 60819\n11314 24190\n31764 84589\n29832 38791\n11442 62068\n23665 35914\n66686 68072\n21258 54042\n43268 52963\n62017 70583\n21660 25549\n27318 94044\n13961 65799\n39605 48927\n52222 82096\n25018 46708\n39276 67235\n23149 33098\n65070 92614\n41840 57282\n976 27257\n15439 82894\n28440 50575\n3125 60358\n13814 21967\n11443 14087\n87089 98741\n46710 55624\n17040 83187\n43926 87373\n44037 84526\n29469 37620\n69581 87783\n9517 45343\n58333 60853\n6346 60129\n66834 72344\n84449 97267\n46821 48519\n20876 96382\n31066 87953\n14470 38608\n25296 74598\n3912 26430\n25147 56039\n64779 90482\n17547 26298\n29120 61006\n9091 81684\n56749 69068\n8077 99367\n8156 70467\n29949 93807\n50676 82907\n72094 77020\n16566 87197\n17442 81072\n3024 82669\n27035 44749\n24639 87173\n15627 89885\n18209 65812\n52207 68100\n21677 41508\n21514 36653\n19604 30342\n16514 89568\n39572 98996\n31595 76475\n74752 96998\n49452 93048\n64549 68194\n42112 64066\n35545 92671\n49318 84429\n12468 62134\n61371 71796\n288 61739\n14141 32133\n31524 40929\n1892 10339\n67027 85453\n74619 77410\n16674 26191\n26338 99402\n19063 38394\n2866 32343\n4973 89809\n51584 94556\n93962 96641\n64498 87153\n16787 70600\n84847 96031\n25000 46427\n20388 34171\n4565 62008\n56370 82795\n30987 75731\n68547 80255\n60570 61802\n44801 44929\n37915 49493\n30694 84568\n68858 84764\n25807 56207\n60350 82413\n71330 84345\n25490 27752\n10871 14387\n69687 99470\n5365 82033\n35016 91985\n78405 86856\n7026 68398\n57651 90772\n28708 28840\n28408 76614\n64182 93624\n949 25187\n35414 37522\n30981 54930\n9719 51956\n16651 28336\n45718 60116\n56669 73836\n53742 58622\n52531 73854\n14610 26619\n85863 86001\n19179 56393\n59302 78006\n37967 81498\n67115 82945\n6943 69833\n26142 28840\n64307 87582\n13874 47884\n2978 50796\n54709 75711\n10101 80262\n68498 83420\n17394 66263\n46727 53496\n20781 95933\n18251 78508\n48385 96250\n7571 79084\n50498 62700\n12298 14067\n36529 89979\n24986 27524\n14927 41868\n34481 46217\n48906 50185\n48121 51682\n11873 24740\n60651 66092\n64430 98845\n38999 61025\n3655 30968\n24922 72140\n24329 73201\n82685 90526\n9317 91342\n9864 43688\n74640 95355\n34891 65731\n9850 91130\n83923 85736\n58076 93877\n15142 40688\n61249 62870\n18394 65960\n47897 79396\n32694 53667\n20867 78651\n46080 77820\n6817 90772\n4871 38884\n64474 91262\n22726 75296\n14607 92064\n60198 71574\n9816 44697\n13832 70907\n52652 73408\n18353 89309\n14290 26314\n86064 90470\n71968 83755\n6225 53020\n1135 76962\n84599 94731\n12450 70378\n44659 58182\n44670 95135\n51086 63406\n25571 92816\n53495 61786\n23134 87531\n33648 34622\n65895 67762\n73167 73502\n834 1929\n37998 67680\n95572 99156\n25966 91510\n27047 68653\n82629 99146\n35874 47924\n48074 69467\n55663 69222\n39406 74489\n55682 78933\n389 3775\n3735 42359\n13126 90698\n58222 82430\n46497 72732\n27569 41038\n60670 77209\n37427 73713\n41917 45704\n8540 62457\n27230 62823\n1888 63224\n12860 69013\n23034 72156\n54178 67062\n24674 67178\n8329 43817\n38807 52463\n27255 36447\n28598 78205\n7307 82948\n5062 89604\n29218 52644\n7308 42829\n14669 42389\n39699 68694\n31656 80266\n35751 73058\n14767 64077\n4125 94708\n18495 46228\n34155 59376\n75086 87789\n58840 83577\n15264 76457\n70087 71436\n9398 39926\n16037 29956\n44723 65528\n18643 86185\n53796 84277\n26176 61390\n9924 78334\n10931 70936\n14713 97233\n23935 30308\n87985 97553\n42719 49590\n41519 54871\n70108 79765\n15219 15946\n67983 81358\n20815 95542\n16534 83980\n4971 82356\n19332 54270\n50014 88202\n20463 98986\n30265 42938\n30388 60598\n5191 98211\n10778 58002\n31198 66266\n38386 90060\n28469 37129\n3608 83673\n70755 89856\n9540 34152\n57617 66386\n649 77041\n31827 40769\n61515 68676\n27402 72020\n5340 62572\n78749 83633\n50710 86081\n50523 86052\n41789 97610\n19844 60702\n64554 87941\n43330 66107\n19084 31309\n44753 68865\n28952 61014\n85232 91310\n43914 77114\n64918 83555\n25044 57628\n17722 18762\n74891 90928\n67043 78955\n16563 52060\n9020 59062\n20663 50242\n27575 78827\n72026 85817\n76835 94040\n63019 63259\n13848 42835\n90134 94998\n35251 99072\n15262 33475\n7972 65799\n56423 99172\n67556 74178\n22242 46166\n71891 82089\n14024 31369\n73232 86316\n6253 75089\n38463 50994\n51487 74607\n94357 98585\n47981 70494\n49368 54291\n15553 45801\n31584 72184\n50011 75716\n58636 91148\n15910 54383\n58226 61024\n7957 75525\n3086 77452\n13412 96641\n4866 85094\n23021 96832\n29751 92056\n32437 52079\n77516 90578\n65004 99536\n56415 73586\n34924 88493\n5459 23836\n38337 46375\n633 79949\n84612 93339\n69894 86590\n7754 25623\n50862 97497\n14275 46766\n14982 59624\n3174 25260\n56963 90104\n46858 81076\n8695 52977\n70211 80122\n3118 40424\n71445 92314\n6713 8187\n34541 67953\n44975 46306\n16419 21590\n7711 93296\n29562 67097\n2106 15191\n13304 35173\n8881 33706\n26892 34182\n20728 76612\n5555 91915\n11001 74992\n55549 69611\n26161 67240\n25465 63833\n78351 91365\n54346 93367\n18823 30326\n15632 56438\n9314 58983\n28014 88741\n34310 77363\n50581 54935\n16645 84187\n1786 19850\n73531 82133\n38780 94817\n48275 62559\n88832 92950\n39997 74062\n5398 54668\n4006 71978\n19766 39328\n7980 53706\n72840 79000\n27025 92449\n51448 52481\n6357 42398\n45736 66618\n9121 52631\n16234 71948\n38004 80806\n2561 21107\n97943 98548\n35034 40395\n8920 46979\n14630 16822\n31173 78832\n70261 98125\n26310 92563\n44604 67386\n39695 79865\n70057 78275\n17725 94094\n14995 57964\n43998 96715\n33884 43295\n42454 64187\n63410 65789\n36276 85334\n635 39104\n56557 62444\n39009 65700\n17037 68447\n7554 91310\n11465 55421\n32867 56880\n2167 20136\n2998 16320\n19613 55164\n35385 91868\n2051 40024\n18887 20018\n6071 28888\n20310 78368\n71134 95505\n10346 50979\n19723 31103\n63401 66015\n16744 21333\n39468 45492\n32400 95679\n46332 76691\n20256 68238\n561 45929\n91432 97041\n72694 85957\n3196 25628\n5419 52670\n83100 84864\n21256 68433\n50856 54639\n97609 99500\n47841 78705\n12750 67866\n12283 56417\n22343 78105\n75876 98062\n3084 58088\n9202 56116\n49803 85763\n60493 75825\n4116 99375\n23112 44876\n4919 20300\n40643 98010\n49 97218\n20044 84665\n34505 96685\n62408 84594\n3151 82585\n12138 36380\n48651 78426\n55571 75032\n7706 8020\n24932 80719\n9164 29978\n51213 80886\n30595 86507\n41982 94762\n22850 71810\n33177 62549\n23331 41359\n56451 59721\n32435 99957\n64336 97249\n48720 74104\n49616 67808\n27567 30893\n9339 32568\n81132 99665\n53350 85432\n6673 65479\n40726 66874\n1944 69843\n17973 39438\n49325 70310\n44455 68686\n3832 31475\n7812 77563\n15824 68315\n30082 69592\n20002 90643\n57660 88435\n7690 26554\n59900 85004\n61880 93475\n15740 43140\n3946 25265\n39857 85266\n55013 78263\n867 43009\n67676 69308\n44281 62069\n92633 95399\n30007 78741\n2113 17858\n1297 70419\n89610 92311\n44166 91987\n37130 59556\n24655 55440\n47764 75299\n88793 92710\n29349 68571\n78901 99388\n13801 46075\n3770 92810\n37993 89517\n48522 74927\n72164 94149\n427 67098\n33287 86626\n53736 79879\n59243 70204\n13872 32671\n53025 57103\n4202 40251\n15349 43949\n88591 99578\n24200 61893\n44040 69662\n54284 69560\n16414 17111\n9261 12890\n71724 88586\n41535 82923\n52735 72718\n10043 84388\n12904 48423\n84989 97212\n494 27396\n40543 80103\n28680 42994\n18748 94261\n16148 74276\n45082 58343\n8907 28254\n81622 84609\n8832 36284\n19296 40104\n60289 89821\n18950 69116\n39099 66505\n7926 71977\n1220 56097\n5544 6297\n50856 53254\n51012 78466\n75116 98457\n5880 56821\n16023 75899\n9810 54589\n34044 35696\n15820 87745\n74019 79726\n96792 99013\n5840 82005\n33595 72162\n67812 68448\n7105 29298\n59583 93834\n6967 41489\n43079 64033\n10562 21588\n19240 31460\n58835 74182\n29298 46962\n7687 33217\n56370 62153\n40684 93983\n34766 91838\n36798 44627\n22451 54959\n23961 36750\n10910 23796\n18510 88890\n12058 75510\n30686 72764\n37226 61420\n11705 72444\n15103 21281\n45476 85895\n44403 49708\n32585 42575\n16718 88351\n24472 42199\n21852 27153\n30013 43415\n30626 38928\n12276 26043\n62347 82180\n29064 99230\n47862 94179\n2715 96362\n49996 62884\n16521 88875\n16399 18671\n29250 54546\n55644 74886\n89547 94873\n38302 76303\n57548 98851\n66490 90271\n19708 68089\n6127 19271\n16117 84590\n19503 98979\n538 7172\n65015 66621\n14294 56514\n36194 83312\n3071 87747\n19351 52527\n738 93333\n63257 74104\n54580 75644\n45500 91450\n71045 86743\n27431 89745\n35954 97766\n15297 45214\n36067 71231\n28449 46163\n11957 91838\n90585 95259\n72969 73032\n37677 96171\n43586 56709\n57908 94851\n10363 83899\n1277 54392\n24456 41290\n85073 91218\n9803 53166\n53956 98492\n23521 94754\n6587 49661\n20399 58860\n13794 52785\n11674 23735\n14491 30406\n34054 58846\n52632 83251\n49542 83468\n25723 86296\n57616 77633\n58686 88654\n34664 80278\n49518 99578\n9424 75498\n350 97985\n7148 32063\n21564 99385\n39477 78081\n64989 70719\n89477 92394\n34266 69932\n58931 77391\n25610 48324\n4700 38487\n20909 48216\n11932 93479\n18658 78468\n22793 89952\n71526 77669\n54177 97407\n2723 77637\n440 71341\n33220 79760\n5930 36010\n43034 68211\n45622 86995\n346 2350\n8451 87189\n12808 29973\n14242 87525\n26060 87045\n21457 57202\n71365 80624\n2303 15315\n11232 24560\n13715 16467\n86710 86713\n26484 92513\n76108 76628\n4324 75034\n20965 60900\n66167 93378\n62295 86869\n23497 79947\n25829 74356\n12396 55329\n31334 51508\n29295 39174\n12436 36102\n15807 74672\n23920 50376\n22072 92963\n20161 47752\n45591 94265\n17621 33436\n5400 52778\n50746 53286\n44030 54414\n75778 80160\n36452 87201\n92635 94856\n78606 87601\n3801 49680\n21263 33978\n47486 52644\n17674 17696\n21713 91785\n4099 97280\n48628 87587\n23703 58037\n67885 80256\n52984 68371\n46064 87556\n54074 79920\n48394 78673\n29330 54982\n10414 86835\n33204 94660\n25933 55597\n53705 62764\n702 80233\n40577 67208\n12941 39075\n8161 56467\n25554 79498\n7840 81890\n35736 39811\n85748 91091\n37797 63745\n33385 47935\n446 24274\n20610 43316\n77675 84356\n18508 46891\n33151 99722\n73096 84496\n18856 76092\n14418 63763\n34971 90782\n41055 43583\n29393 85200\n7693 88770\n58982 62150\n2851 40606\n11705 59741\n31273 69101\n15996 78228\n17029 93193\n21716 64725\n27559 80139\n21450 23266\n55923 64592\n51998 66636\n37867 89667\n38687 95928\n34591 81583\n43385 81914\n34578 40577\n44689 99024\n10592 41424\n39142 58953\n34481 54205\n44898 84546\n57148 95366\n50631 57095\n12600 96288\n18260 19678\n44338 57328\n6691 7942\n56485 79589\n39175 86215\n27494 74048\n70902 95986\n28341 42638\n36238 37622\n64244 94171\n32636 58763\n63926 72756\n52613 90402\n3776 30335\n28767 29269\n11753 87505\n77694 95339\n14519 95048\n43454 79322\n54429 80321\n19330 71934\n28142 73108\n48095 93470\n64243 71475\n30318 75087\n31411 56399\n66597 67432\n53473 99028\n72347 92578\n32625 79902\n50098 91376\n11834 16423\n37899 86677\n14353 23954\n15735 58726\n7645 51168\n33678 69174\n24352 76105\n57744 64755\n17821 79304\n8580 42269\n14830 38171\n29213 85219\n23572 83927\n49785 96576\n27222 82725\n15130 88537\n15956 57790\n19871 74490\n71980 77207\n6732 11470\n17884 61293\n33266 90481\n52419 89858\n49239 85582\n65514 98736\n37009 80794\n28609 29675\n21468 23123\n74959 80537\n64142 76635\n19130 40630\n49895 80096\n13488 80302\n47694 61605\n15177 23627\n62096 69307\n9819 73165\n18162 31390\n2743 27450\n19962 26196\n78263 85957\n8647 70405\n34997 47744\n52361 79768\n56408 68881\n57372 91749\n64622 66600\n54662 85998\n15589 88088\n25130 41329\n26774 55959\n51599 52601\n9706 73198\n59202 87417\n21335 94749\n65881 78786\n2672 45197\n3614 48509\n866 29425\n70073 97640\n91604 92444\n75184 92842\n73471 83102\n10282 14590\n10351 56724\n61600 78402\n12781 77974\n35291 42848\n33365 46476\n193 39398\n13246 90638\n55831 85441\n848 92225\n60069 64652\n167 47651\n1196 20937\n63831 96050\n31653 87857\n33416 41917\n66229 78865\n28988 30620\n20542 76784\n64054 94945\n32039 64863\n31428 82309\n40540 51719\n16911 63133\n9496 76685\n79830 86478\n12250 40109\n450 91557\n65630 97051\n293 55972\n56882 97605\n6022 40455\n44852 93821\n29080 78966\n20549 53661\n1350 93334\n17596 79596\n47226 55893\n68304 87505\n1825 27769\n80329 82346\n40087 62429\n7763 56118\n32361 76817\n23588 42307\n35905 54310\n9460 87884\n34854 54308\n54230 57023\n9758 62991\n44560 74505\n3487 76355\n66856 97157\n36743 83620\n51003 56237\n19708 64685\n48339 80315\n26559 86842\n57941 78399\n52572 57522\n42932 65080\n8975 79134\n31823 76600\n19983 54499\n47278 70558\n16846 30851\n75397 75994\n12369 43038\n43822 63112\n37840 58192\n4348 13866\n58442 85250\n47695 69657\n23646 96660\n40217 70192\n67419 74614\n69275 79788\n25966 47304\n7318 9586\n34807 86312\n47028 89381\n44237 46574\n4031 20758\n50687 86866\n28390 85828\n43239 65571\n53504 81986\n8843 84796\n25664 82231\n17558 52220\n11217 92073\n20238 73564\n46784 83710\n39164 90770\n44242 51603\n10645 18575\n50704 71738\n20691 49783\n22026 65369\n48162 55298\n19564 28816\n56545 61903\n424 13820\n15541 49304\n573 6453\n5871 6643\n2845 66147\n4366 31560\n82341 93095\n75816 82725\n4915 45186\n70288 73190\n16773 84606\n53030 92076\n5037 28978\n10327 31720\n48245 94053\n31769 41790\n75877 92358\n46096 53812\n25126 83768\n31126 83377\n18242 72346\n7142 23365\n28439 30660\n70350 83873\n76598 81205\n3508 16428\n44644 90381\n49935 88166\n17185 27613\n84488 99712\n19570 45319\n657 75006\n12532 41410\n19613 43048\n60758 82202\n13204 58174\n22918 85626\n20684 31370\n45901 84185\n30922 50704\n26157 64022\n32964 83965\n21320 66846\n45310 70995\n7148 50525\n2410 92730\n38339 82746\n19001 84887\n6130 35229\n35634 59055\n64865 98745\n8122 13929\n11408 78305\n42423 71770\n9226 26076\n20797 85023\n30019 96371\n16464 45656\n42439 75919\n28334 71787\n12641 50431\n59439 85347\n58566 64190\n8988 71675\n32250 67516\n46997 73827\n42394 61589\n29644 99428\n45999 82194\n785 77007\n26352 83437\n60712 93968\n53946 96956\n55352 85442\n52890 97734\n64071 85404\n26519 53831\n63700 83059\n55087 99841\n4095 9947\n36410 81078\n33248 94766\n20745 90695\n38472 58968\n33188 62376\n47462 89711\n31830 31943\n59921 97791\n14716 91963\n12188 94820\n8042 53218\n20308 21634\n67921 95729\n37012 46224\n19751 69593\n20838 29809\n16407 84859\n72726 77562\n69473 85225\n18643 26241\n3611 82145\n8835 36461\n13964 68274\n40822 66428\n64224 79995\n37522 60769\n45921 48499\n35097 41309\n83827 91527\n19235 94458\n22598 50502\n15476 59877\n10707 94310\n6024 59890\n57527 83735\n34516 78792\n20394 82118\n71669 84122\n1393 59051\n30961 34208\n25552 62851\n14351 93321\n24096 69473\n66414 67032\n10356 12392\n43273 94690\n32545 50966\n15492 75206\n17835 22647\n6905 30847\n15222 60369\n6586 69912\n6343 8685\n18390 88150\n12298 60836\n41293 99845\n67413 93180\n14053 34200\n1245 16095\n10379 95010\n27145 70171\n60876 74138\n9999 66633\n39884 99323\n37095 39031\n58007 82779\n20618 71061\n25031 81230\n9504 78372\n11325 82604\n61117 76090\n37582 64487\n68244 78164\n73421 80942\n7358 26391\n17720 97086\n10134 34294\n23625 38618\n52714 89695\n40460 72785\n5238 30181\n8567 18026\n3937 71430\n83904 92449\n17482 52482\n2020 17771\n15561 33036\n871 21357\n21397 87924\n53035 89160\n61688 83442\n3510 59227\n1898 15225\n64539 77946\n25374 79845\n1991 22534\n4222 87519\n53492 93973\n17851 95349\n23934 78653\n68484 91173\n49507 73348\n499 86823\n25783 43890\n26416 34422\n5096 17259\n20551 65131\n88054 91213\n38232 48221\n11766 25059\n27796 57160\n20533 34428\n42805 50276\n8869 36914\n60442 82384\n3175 12297\n9719 82825\n21188 64575\n2001 44754\n32305 52388\n37594 80141\n70683 94329\n22102 28790\n18506 71541\n31245 40005\n24880 84013\n77567 82137\n22764 91374\n15015 27477\n3287 96483\n10027 35685\n975 57775\n13408 73412\n2599 36685\n22856 86866\n4996 43385\n50269 72120\n28168 30150\n24643 44603\n2902 42610\n29386 62550\n15087 68089\n77645 97045\n74085 76965\n71753 74586\n37699 71792\n35076 38065\n7474 19641\n5426 51977\n2313 55497\n21330 97111\n59846 98444\n17148 84078\n5161 93091\n27923 60446\n5336 57648\n43044 98642\n59991 97983\n3336 44739\n44448 48527\n7108 32340\n20997 27736\n8205 18465\n86623 98478\n7286 80594\n3596 36400\n25295 28280\n28939 77280\n9453 54928\n11781 46986\n79366 82711\n42910 77189\n38989 50250\n39853 96203\n41659 65687\n55119 58131\n22034 99906\n62960 91776\n21699 97903\n3646 96454\n21749 95005\n46999 58991\n88484 91007\n65232 66939\n57068 63610\n14856 47941\n23273 50651\n56632 62064\n47070 78994\n25776 48138\n94918 96326\n32761 81806\n46969 85814\n62445 69349\n11214 25792\n25712 71421\n35250 36448\n8547 13001\n75937 77324\n71640 81790\n25072 29511\n47881 50221\n40156 47560\n92095 98765\n66875 80159\n24438 74462\n32763 83739\n23440 71679\n45736 66023\n3578 85381\n10213 78262\n23678 33512\n71157 97051\n31502 72898\n30348 73821\n33225 50388\n71415 75445\n60334 65423\n16368 21876\n40896 56730\n40860 50573\n84103 96424\n46686 55602\n55910 96979\n58796 83413\n75854 92919\n11743 97596\n42220 95209\n12666 55500\n71079 83983\n85681 93553\n33632 71665\n18193 42060\n29123 31360\n986 7238\n7836 68804\n71348 88787\n73034 89532\n82989 94425\n45829 51942\n19205 26618\n18253 21273\n55672 87246\n53141 61580\n43707 86909\n20 92829\n75612 92383\n11869 81728\n89639 91737\n12631 69560\n72233 87423\n22448 40232\n14614 33324\n44837 76426\n81607 86810\n69647 83985\n3169 62696\n27778 71968\n28347 66706\n50976 68052\n26009 90060\n8215 28492\n25046 31986\n8430 37212\n31153 46597\n12735 37825\n22075 68000\n37008 57620\n28336 80924\n11962 93855\n53926 93167\n17015 59454\n15568 65152\n4008 70902\n28762 42146\n47951 75025\n12707 36641\n26203 87863\n45450 90239\n1232 64233\n14510 58585\n31975 93633\n13425 97135\n48442 90715\n18503 62007\n3727 26849\n4828 39133\n66945 71516\n23405 50133\n68527 70710\n35922 78125\n26207 57233\n30917 89686\n25045 64049\n37311 49239\n4017 53427\n22621 33448\n67210 97849\n13357 45230\n7331 94726\n34555 73178\n14842 64675\n33466 82601\n21495 82782\n58575 93596\n23682 52273\n18295 88188\n32279 42253\n41881 48505\n24096 44360\n28703 37635\n11792 95513\n53907 61909\n60742 68876\n15434 30162\n31807 49903\n38958 49840\n23968 39474\n52459 74708\n24847 25808\n742 84917\n21896 90463\n16943 65166\n57211 82266\n83643 92848\n55716 74570\n40012 43631\n23583 79567\n41697 91678\n9157 40543\n80593 87196\n34242 90945\n52902 99359\n8690 18433\n25662 29529\n55613 96557\n30252 61417\n5210 31472\n71058 98235\n1052 12136\n38291 76652\n55148 97458\n65971 77398\n14224 87078\n19908 45060\n69686 94624\n41097 51058\n9681 67931\n8673 89451\n45591 54870\n62253 75710\n21172 46700\n268 18351\n43979 58229\n74162 96159\n35593 57015\n22045 46371\n60538 67903\n42915 61240\n19870 24354\n34541 51819\n21757 45693\n50035 91161\n8395 84167\n7819 40936\n67184 74725\n44403 86293\n93281 98249\n12148 24163\n51080 98537\n22227 29899\n45238 46827\n11080 44420\n8418 50271\n14786 77808\n20243 76272\n43518 43685\n10455 43112\n76490 96102\n58610 87361\n25364 53978\n27723 78094\n44176 93074\n6949 69880\n23148 86715\n56001 62754\n14291 16231\n20110 68551\n23365 75767\n75392 97910\n4109 30407\n3956 73193\n55470 61663\n42838 54755\n617 75070\n63253 95779\n3450 80660\n33495 71286\n10870 55708\n31779 82895\n3337 87422\n27680 70472\n61491 83891\n26108 96940\n48631 67104\n16851 85139\n12338 51295\n10814 11179\n8236 73351\n36123 94207\n37868 77267\n43692 51501\n13236 91400\n7208 39491\n20749 44784\n73795 85972\n47747 55287\n51797 77578\n40644 95461\n53290 87776\n26340 65482\n7244 19239\n2386 66465\n8407 99098\n41996 64930\n43506 59906\n31401 33121\n49470 97531\n4697 57884\n10420 85816\n14867 74678\n11956 29625\n14344 26976\n22649 49221\n24829 34821\n9371 68462\n1540 84133\n33483 59816\n53813 76520\n30269 65060\n36465 67379\n7301 46636\n66844 98468\n42320 51250\n16954 43144\n57075 97234\n27295 60481\n31139 31365\n953 23769\n2134 17525\n4508 95807\n22331 87009\n58304 67184\n68715 74713\n59051 72297\n57388 94527\n17885 42887\n45190 51823\n49354 67536\n36185 39610\n30252 58828\n26303 54233\n33111 84300\n86184 87678\n46918 48292\n56680 69787\n38745 54655\n11846 38051\n45097 67503\n19875 57445\n19734 28862\n38033 87805\n7771 32835\n52758 56906\n63901 72198\n838 64045\n33969 54551\n22401 48277\n16663 97965\n60762 83550\n15997 55155\n15094 69610\n13607 35478\n7534 82532\n524 61565\n23157 48030\n24701 41244\n35146 51311\n14703 65424\n8058 26670\n29824 77997\n63593 73820\n37772 87737\n51461 63028\n69795 78965\n57935 72417\n55473 90901\n44658 76463\n5713 69793\n46435 55821\n31970 37975\n13216 65022\n9531 72283\n13784 21943\n49250 94947\n156 32591\n19967 21263\n22829 91330\n17275 35856\n65379 69752\n37338 66659\n10819 94152\n81099 96325\n6476 19878\n45616 78635\n27754 74688\n14107 86689\n26005 73997\n51937 59573\n28734 78237\n44691 69787\n64419 94373\n6154 17526\n10647 36100\n27280 86386\n72621 78613\n15846 44198\n69802 81912\n64991 89674\n82499 98964\n31150 65741\n5742 19389\n19439 43940\n1657 87301\n31222 60106\n16690 81781\n19663 46450\n18866 37074\n56075 73035\n17809 30845\n9226 88549\n72854 77183\n21303 49197\n90718 98926\n64259 90607\n9755 33220\n47982 75043\n63383 63957\n53088 97290\n8871 17956\n43673 47745\n13575 28120\n55462 66186\n27997 48032\n11810 49548\n15317 31522\n5342 6498\n11207 48698\n4668 77589\n28579 41187\n1431 67250\n17097 47249\n21422 62024\n78213 92803\n35897 76460\n3474 30207\n37913 69516\n15797 18127\n43719 58724\n37264 87983\n67306 85859\n64863 80960\n62977 63713\n28246 96401\n3202 22327\n55654 67787\n18879 73469\n49597 76655\n2230 74609\n39504 88865\n36496 99905\n18617 56805\n18631 65446\n59100 76330\n27386 84948\n53800 90901\n68494 78819\n71203 86043\n31184 77344\n30661 71657\n52127 63063\n61542 92114\n4595 34048\n20401 22645\n27640 57005\n33475 61739\n53181 84765\n54675 81930\n66399 75816\n6102 38828\n1325 33829\n46302 61011\n2069 29737\n53250 84044\n70294 70753\n23666 53685\n17064 46677\n77866 90955\n5663 23868\n22205 84376\n46424 66897\n11630 32876\n4351 56813\n73696 90443\n48398 80663\n55993 70709\n94544 97192\n40766 42066\n77634 92151\n53336 88598\n9047 41223\n35536 43267\n2187 95393\n12198 33972\n46374 48029\n22176 60906\n66807 88855\n36605 96100\n4215 18564\n29006 40968\n12285 83005\n65309 84940\n2622 41023\n79560 99817\n30009 61059\n47314 80751\n15859 19476\n31405 92209\n63660 71588\n17927 90402\n16424 75528\n23483 30830\n82631 97948\n50145 55283\n8565 35355\n44097 59996\n43951 54108\n73861 92659\n72986 80807\n26531 75031\n19704 77642\n5025 35347\n9832 19099\n59060 97336\n10916 69998\n31232 89952\n10277 20687\n21858 84783\n43060 68425\n28764 69541\n74747 89097\n78845 88543\n23742 50682\n29244 71213\n68100 91391\n93121 96822\n1833 75133\n73835 99983\n15822 45166\n21726 87311\n37023 49679\n56796 56895\n22919 71846\n92091 97472\n44951 88363\n68408 96214\n9389 92807\n3720 27524\n33627 97753\n19454 92167\n32185 76594\n1085 5140\n70659 83132\n28696 62264\n27667 47352\n89835 95687\n509 36978\n28112 38260\n6555 9489\n45850 85111\n26886 98472\n39650 76660\n51990 96020\n86576 91288\n35296 51382\n26229 82968\n42742 56253\n15876 32445\n84309 99051\n77847 89171\n464 72175\n36794 52020\n5959 97803\n21836 24978\n49377 69721\n20021 72277\n2063 80767\n44478 60987\n6234 78457\n29155 43920\n27674 37327\n11620 85862\n92223 96371\n70123 79023\n51079 76090\n51315 96743\n8827 15144\n6601 90699\n71523 87673\n36560 62660\n58321 76389\n14297 38777\n54127 54586\n24466 47478\n31070 83712\n55906 57146\n38362 97374\n65978 73601\n94222 98476\n31295 53943\n30326 67808\n23725 33051\n11450 26740\n43973 79944\n58788 78840\n55188 61708\n10801 19846\n27349 45799\n3958 94325\n47149 74425\n58877 76415\n51868 95602\n48778 55409\n51194 96576\n5025 56108\n47285 81018\n43724 67373\n41556 55241\n1226 78099\n11465 88926\n43921 87630\n84391 96262\n5942 70648\n28125 42997\n5586 73809\n30093 98003\n2083 34463\n37806 91235\n36687 90859\n55944 79807\n5227 13055\n5749 66708\n67632 96999\n5749 19591\n6449 15807\n34528 73526\n89523 97243\n49133 86734\n7347 67765\n21829 64931\n36059 76087\n28522 78960\n62786 74452\n30094 55599\n44037 84412\n13533 94929\n40654 71366\n83729 95885\n6556 76843\n56490 98255\n4585 36862\n21238 96319\n60353 78594\n24839 97022\n31727 96648\n34700 39938\n57585 67486\n26011 92653\n9211 10321\n28805 68008\n83892 99585\n24325 49357\n28343 39502\n50902 57941\n79031 92147\n60716 90370\n50735 69060\n12270 43698\n54309 82382\n32699 42187\n9566 34122\n1795 88659\n13426 95490\n43223 81859\n77004 97627\n13523 31385\n8002 29688\n3025 12466\n36951 45995\n28695 82458\n63156 77034\n2274 63901\n3229 43505\n29054 97441\n29871 42088\n60884 93767\n71896 78866\n39248 95531\n3241 47823\n22784 80657\n38019 69623\n7127 18555\n65367 66885\n22882 93959\n62556 68537\n14309 35385\n9737 18728\n68960 79430\n13955 71658\n47310 65092\n13962 46116\n18249 63752\n81655 98245\n55199 95207\n1137 91410\n28179 98684\n78142 89934\n38490 66789\n53425 72518\n53139 68691\n32073 86599\n57207 73438\n287 58538\n3875 61419\n40571 79187\n15012 37337\n55682 62733\n1656 12441\n3337 60420\n96356 98149\n21257 96762\n90619 99213\n25135 73255\n26295 87948\n430 20395\n77916 99757\n39304 91172\n32650 50900\n32783 57841\n34224 83554\n38856 82820\n44801 79844\n56392 76591\n45304 59658\n20818 76422\n5296 82758\n28107 68585\n21864 76350\n2184 53609\n45205 78030\n2303 38566\n57822 58872\n48430 94852\n47650 77120\n48895 81489\n11097 94006\n14954 62039\n79529 80615\n11593 85672\n36163 96069\n3576 75848\n23438 75717\n182 42509\n7641 62566\n46966 68839\n12338 28462\n4491 6149\n86741 96523\n40821 63125\n49284 86743\n37178 93272\n39722 98360\n58551 74650\n76518 84933\n5988 52600\n18134 33369\n18798 58690\n56488 82712\n3835 13178\n34932 89960\n68517 73828\n56078 77938\n31312 43175\n27930 86462\n33876 90052\n9735 86018\n35275 76191\n86480 87026\n2219 34820\n29350 39062\n36169 61563\n67645 82466\n348 49859\n4291 91108\n31849 58924\n38904 65844\n13085 87910\n48462 72977\n18955 64887\n2064 30051\n28249 70577\n20857 50169\n13540 59773\n27219 99013\n82847 84644\n38127 69841\n5530 10201\n58161 75105\n19582 90838\n46026 77848\n55880 58950\n20524 55644\n1375 40258\n17058 25431\n13561 81532\n4504 9378\n8425 53083\n58642 97874\n49169 82368\n5254 70494\n29161 40047\n9913 74636\n84818 85144\n51347 68875\n47144 49360\n12237 79101\n5384 40680\n20323 59098\n54570 76370\n32664 66561\n36447 51989\n2286 72350\n20446 99469\n12097 15279\n12826 58079\n17220 53209\n48421 49931\n66255 85613\n7536 84353\n28332 95080\n30392 94979\n27437 49633\n16286 92405\n1096 80244\n8271 20217\n45500 82896\n15907 86993\n8666 62878\n49351 66014\n29885 52052\n16635 34453\n36128 48273\n9986 63308\n5540 15092\n8340 58613\n84867 96245\n34696 61112\n24533 46086\n22910 58833\n70686 84762\n75950 87961\n5959 16974\n44836 66457\n38560 79640\n39839 74945\n3824 5910\n9126 31806\n10631 72810\n60132 62773\n21634 56122\n69736 76208\n27795 55039\n24167 42384\n34978 74437\n60710 72815\n34951 61018\n13702 56114\n431 82675\n23090 38514\n46195 94284\n5676 77494\n43511 47490\n26223 49591\n3159 20310\n61088 95595\n8038 66609\n27117 53161\n30506 84223\n35330 86937\n27839 76594\n66758 83006\n6002 86500\n61353 65402\n22176 44637\n11538 15054\n44383 67875\n33948 56549\n40989 67052\n47563 98945\n30101 99021\n38680 99713\n10586 67805\n42502 89428\n16269 91086\n38186 39106\n2340 57928\n14849 50460\n83543 99664\n70604 74294\n20398 30835\n7443 93571\n30931 64108\n21372 45643\n58209 87312\n84723 89365\n19603 27607\n6370 53445\n48054 88629\n19114 35960\n2938 58497\n27276 52325\n41501 95527\n16145 50715\n13222 38322\n13992 61331\n11397 81422\n10047 61831\n18588 21707\n11499 25921\n68326 83421\n8461 54930\n51233 77730\n42953 54750\n64973 89172\n15067 59940\n17163 62961\n65507 90361\n65066 76311\n6083 49281\n31147 70037\n52934 76967\n41748 98530\n41119 75517\n71982 79361\n18538 97609\n37523 77107\n26640 72629\n27302 96512\n9433 20869\n8988 14603\n42515 69536\n31195 52741\n58737 88503\n24907 80632\n6748 10991\n65925 97028\n14778 79433\n15489 85983\n65317 80999\n3645 37155\n49389 66147\n33485 80280\n10817 85645\n58029 85695\n29374 33335\n69626 74024\n53206 90056\n6461 52933\n25079 59962\n9937 39614\n15426 16405\n3021 27596\n41550 81158\n50609 87112\n52980 72125\n28937 40302\n57703 92338\n25489 41507\n41559 66037\n48808 63020\n41300 73646\n32858 41037\n35957 83780\n34811 50458\n50914 59808\n17261 59456\n6727 16144\n36582 73261\n29899 87921\n59364 88630\n75416 79042\n11858 40958\n9393 39851\n54025 91543\n15017 49451\n21955 61692\n66772 69811\n40205 63781\n59699 79142\n80320 96171\n40725 61242\n46286 70330\n30873 84273\n8917 19028\n21569 86228\n42415 93771\n32657 48863\n9729 82565\n76134 89874\n25311 49162\n49264 61939\n36112 88729\n37538 92586\n9424 93875\n43376 51901\n26248 83822\n41050 61839\n37912 37951\n9201 40631\n31892 40006\n69519 99669\n18716 31454\n3529 75202\n47531 77924\n27192 36096\n66250 92520\n55201 57965\n12025 90906\n19346 77940\n18395 68431\n5998 21496\n5475 89166\n42142 70892\n14009 93444\n38651 97772\n22921 81078\n65725 85443\n59002 98167\n28664 67040\n8678 11502\n4352 52696\n93931 99852\n10285 14338\n62592 84004\n26969 72821\n61878 97054\n35153 75205\n37360 58889\n3632 20688\n14692 94089\n7747 37735\n61882 69131\n14636 68420\n7690 36704\n77756 87771\n69389 75213\n45115 89512\n1991 23774\n34482 42215\n34113 54902\n19395 46990\n64771 96764\n51720 94232\n4498 89607\n5934 51506\n17385 57571\n8903 84733\n4367 24829\n18617 67322\n3001 7083\n15204 72262\n44074 89866\n43737 49268\n6332 19839\n11942 23360\n40435 65417\n10170 91226\n14140 16817\n3811 75300\n72487 92651\n44258 59524\n50620 60625\n25899 94144\n14546 46063\n21651 71871\n7478 45945\n21188 33995\n27749 75255\n31731 83809\n94149 94484\n13279 45707\n17983 80541\n51149 78164\n33191 45244\n18033 60015\n57211 93176\n28102 77553\n57635 68020\n41529 90442\n41370 78778\n17614 82709\n24647 99623\n339 29207\n47966 60727\n24642 91152\n1618 31271\n14445 90216\n16591 55637\n17145 46830\n15837 16238\n3458 48308\n43857 51658\n23398 53000\n49558 63943\n24690 76110\n5099 92263\n77094 96962\n2789 85035\n597 96820\n87997 91878\n54649 70837\n13939 42204\n75090 90231\n75782 99090\n42631 52400\n34517 36120\n31997 81110\n22962 82498\n9929 64671\n3019 95651\n54818 69843\n3578 25836\n38086 63414\n8186 21783\n21507 51178\n35271 40988\n1851 33671\n2624 64987\n26117 34035\n81888 84411\n34987 74286\n22495 65096\n41593 66376\n392 87077\n41031 56058\n41131 54333\n17100 94041\n9039 55982\n32387 49221\n50236 97788\n847 45914\n27256 32463\n24386 28114\n64702 83321\n67997 93295\n17909 52160\n36034 61608\n11183 50278\n10466 36562\n1520 45989\n443 76979\n44659 53629\n58891 71279\n7226 37806\n19931 30268\n15969 73757\n81924 99918\n24026 91493\n31252 39258\n58735 71778\n15268 45393\n58201 99470\n10913 84764\n24497 88507\n51989 92300\n33126 93105\n54397 93452\n69229 95104\n32038 37803\n24938 80514\n16597 27857\n4076 11248\n92961 96757\n26521 46127\n1184 63609\n27268 84939\n21346 25332\n39288 68222\n7996 18280\n37290 62396\n26025 36264\n33246 89149\n30993 39245\n7901 20997\n45390 85271\n5505 36319\n52685 91689\n59894 87347\n72426 89754\n45909 69244\n16136 94301\n11047 59511\n32192 72747\n17435 88953\n16154 25688\n16943 82177\n36521 96492\n13517 33601\n39913 77798\n45091 91382\n251 88790\n40321 97369\n55648 88721\n13286 13397\n58069 90372\n52629 86702\n25948 99769\n14503 98536\n45602 94171\n10145 36102\n9509 20900\n2136 32717\n16117 74317\n38058 87584\n26092 92433\n48573 73006\n21643 22685\n72993 90402\n18853 77702\n14042 50877\n30916 40342\n47089 52579\n30753 75345\n44594 47386\n71995 98852\n43839 64077\n20925 21153\n17515 34094\n5812 59479\n44886 58681\n60681 69828\n11322 74344\n25987 97230\n35700 59841\n63538 97626\n15711 21652\n52975 74152\n59834 62979\n11512 27329\n68086 87515\n10984 49684\n14286 74270\n59250 71308\n48705 90369\n16475 79024\n53719 56206\n7013 35884\n12547 98508\n739 26036\n50764 97086\n1101 57503\n12231 94885\n21535 72046\n32718 64854\n29460 87189\n25058 63882\n7704 15686\n44821 78977\n33796 45715\n20864 34995\n14047 71771\n85843 94933\n29826 75960\n80820 83968\n1408 55125\n13054 39594\n38386 88849\n73476 86742\n21398 37169\n20766 41996\n31183 98014\n30331 68928\n29192 73057\n15118 83503\n26002 89087\n12636 43186\n25656 95300\n8117 31806\n33218 35805\n34517 90143\n20354 95144\n14442 15687\n49 43893\n33688 77032\n34079 58382\n28856 46811\n23694 51550\n66098 97645\n54386 81166\n5156 42722\n83377 85003\n5372 11184\n55010 84052\n66796 82139\n73966 88828\n36236 43650\n62539 64237\n28450 48224\n46092 61907\n45040 66260\n72732 76676\n20079 35009\n24878 74054\n21657 89601\n20261 79254\n80666 93213\n5427 14662\n76126 91059\n10825 31951\n28590 40995\n88030 92709\n12647 26509\n94300 96214\n41073 78490\n21080 81208\n9312 92279\n34403 48950\n11499 77718\n20166 96466\n40918 91255\n29259 61590\n9251 62731\n28858 81642\n16927 37930\n41348 61272\n55176 95204\n32791 54656\n23263 94766\n8433 33755\n66635 77920\n50835 81197\n36137 90317\n4998 40369\n3768 68083\n35579 92668\n13051 50637\n12636 13870\n20922 44666\n71060 79895\n2062 57960\n6971 43511\n52589 96656\n42201 87398\n6853 22000\n32391 55002\n47578 96699\n62552 85182\n13093 23612\n4951 20190\n67924 80970\n48406 57369\n13382 58719\n2529 25944\n90028 97112\n55636 79225\n63798 86612\n12462 45548\n4536 99976\n18276 35022\n19141 92642\n29890 90678\n9478 77725\n10630 80152\n8138 59131\n24981 94076\n88738 99446\n43346 86961\n15260 79228\n16698 66244\n54049 95793\n87539 93125\n9944 33302\n78820 85414\n4946 36527\n33600 87443\n51920 84174\n83310 92830\n38824 89088\n96 81707\n23011 84958\n21890 53970\n12756 87449\n40061 54985\n43344 84171\n60625 74158\n21041 50614\n47924 81944\n16101 36976\n33367 50598\n42128 86529\n27086 69091\n35252 91176\n25001 85270\n62754 63440\n14616 45306\n6734 59651\n46350 49594\n4398 55818\n70538 80966\n2087 34088\n31774 54933\n16429 24197\n40270 51544\n45153 83213\n3635 85235\n57455 64491\n58948 59002\n35938 42405\n5624 48149\n79507 97040\n25887 49403\n20822 33313\n16218 43188\n78391 79558\n63742 65359\n33276 80381\n46592 81559\n31176 32386\n4359 67546\n27945 76020\n34412 83241\n9535 61157\n64681 70488\n41648 90660\n37517 92160\n18060 98984\n69994 93420\n33351 58628\n33520 66996\n26235 42818\n30557 72669\n49324 51268\n16241 90615\n743 30382\n10324 45599\n23561 63257\n35232 44021\n46141 59927\n6102 24987\n30195 48496\n31002 98998\n2296 23904\n62582 85441\n12759 38490\n13784 26505\n58505 85261\n48600 92995\n84506 88943\n9987 98831\n58828 90707\n35896 37287\n38718 95953\n1870 68637\n53665 67221\n45022 55552\n48708 70799\n5859 23015\n64222 81787\n19684 97551\n3074 37097\n32267 39179\n50790 98768\n34805 92704\n26979 27234\n39467 84162\n49921 69843\n65443 68483\n18012 48189\n8451 81482\n45058 55363\n5727 81918\n47438 48870\n11422 67765\n37019 83500\n19160 27056\n1215 10464\n48204 88008\n4243 17980\n39684 74464\n10470 87237\n93042 93531\n58833 75242\n18161 27496\n13777 20988\n25065 52785\n65659 67390\n33924 84767\n37025 46649\n11984 73634\n69452 77406\n40278 75186\n22043 64656\n63181 70373\n55515 55649\n20958 23664\n39545 94279\n59020 59908\n40538 95588\n55340 67085\n55785 64002\n9854 41304\n11830 14430\n75582 90841\n65222 70932\n3566 66759\n33447 90930\n13652 71908\n17295 94992\n14766 31770\n63197 99587\n30257 65645\n32029 98710\n10427 89501\n11160 35908\n5589 39706\n27639 37084\n49498 94765\n30457 73184\n14741 99048\n62856 86011\n70475 77401\n30479 58502\n34130 78381\n28210 37022\n44785 45691\n7705 73233\n46844 85652\n27987 74292\n6879 42925\n45764 96228\n63974 91836\n25930 36001\n33840 44995\n44106 96713\n1658 22660\n12167 46235\n44821 67129\n73627 79476\n64613 70878\n62257 75734\n20632 49696\n52280 56065\n15014 28334\n31823 71753\n30841 52146\n41992 78200\n96561 98042\n15683 37932\n3872 55641\n77437 85937\n10789 38789\n54689 93028\n70936 91912\n24032 77004\n26814 37585\n30549 48513\n28289 64784\n29194 72068\n52222 60751\n36830 53157\n75200 78556\n50802 75898\n3009 31352\n26707 58266\n72622 76148\n31235 32468\n32852 79587\n17785 70525\n16971 30395\n46472 79900\n23265 63525\n8582 25617\n8095 29788\n55510 98937\n63935 85672\n2315 93622\n46289 62358\n70211 78797\n38440 73318\n24265 98426\n17363 38474\n22333 35471\n35629 41737\n79736 94472\n42916 73516\n22753 31546\n54274 62671\n37448 52093\n9577 46022\n25473 83691\n12419 53015\n82992 96399\n15797 65680\n12907 32412\n28309 91364\n15773 43582\n6763 92128\n37472 71185\n30012 62764\n18523 77466\n22031 99500\n16859 37273\n45743 48610\n20830 25946\n75578 85719\n20343 49814\n5937 16674\n32972 48304\n42806 44254\n18634 51645\n17182 40639\n4845 71505\n68279 95777\n11491 38557\n71083 82086\n13887 94226\n25630 50375\n48684 68817\n8422 14107\n58225 88343\n68598 75981\n45901 47729\n33178 79542\n67470 89736\n53214 74023\n27331 97020\n84977 94816\n39168 92300\n24370 62669\n73343 92736\n16698 89373\n8409 35109\n52969 84459\n30752 96604\n25714 73988\n64051 84812\n39004 91931\n69825 74783\n63519 74325\n29242 43052\n18492 85004\n6657 37030\n49529 76422\n90203 93851\n2234 57772\n47704 61891\n72117 82360\n21857 99658\n39075 75548\n29808 46466\n36864 53971\n68802 76282\n73237 77281\n25759 63351\n43707 57041\n43491 98981\n27691 65711\n21511 40091\n57531 80598\n3177 86042\n6360 57845\n32383 82947\n43072 99583\n32810 56401\n5531 69825\n3276 13091\n9969 63970\n3572 46890\n10533 45336\n76206 78767\n54770 81974\n2183 5434\n41494 62431\n6746 15879\n5285 64263\n35979 91283\n28181 65766\n52494 56028\n78482 80616\n28037 85915\n4015 85439\n14889 68668\n1541 53176\n39817 82157\n1677 90199\n49679 88052\n21352 81765\n6393 16311\n45683 71625\n91931 98890\n40767 48223\n5109 89431\n11865 66549\n14597 52236\n70748 97622\n33847 52031\n21047 53856\n23418 33030\n32731 72402\n25083 38025\n1178 9569\n6388 40633\n11456 29149\n43177 50845\n64102 94844\n44955 81370\n10024 36029\n1697 76327\n31103 31415\n35810 40360\n53704 97423\n48607 48958\n27149 77220\n49495 81714\n29294 74610\n40926 47226\n43473 59761\n8920 72484\n67843 77795\n66343 75196\n17618 93869\n28048 46984\n39464 73236\n13566 96565\n8111 33094\n17014 76103\n21327 81719\n46854 66035\n36880 45459\n16248 32547\n77749 81433\n36815 99419\n51061 88370\n72610 95290\n10576 99647\n13338 38877\n7437 61271\n72632 77428\n60734 94763\n5566 57282\n5020 24922\n31485 56280\n30985 86026\n28016 70884\n71945 80303\n51535 59822\n29231 33962\n17789 41786\n58327 63413\n27390 41768\n22327 74001\n36925 38318\n51891 72997\n174 89602\n15335 19934\n24918 93017\n38927 48173\n11490 79147\n43742 95561\n326 21250\n39817 57670\n13326 53767\n92768 94975\n17700 54789\n7629 50804\n449 38876\n2942 37013\n4235 61338\n67862 84286\n27126 56538\n1271 26580\n5167 35913\n24010 34675\n1277 20593\n40766 67352\n58576 94055\n4808 75015\n6931 53579\n88538 93114\n15997 89092\n58933 81644\n7018 96274\n5956 54395\n43169 76063\n37682 62549\n35356 56547\n69849 91012\n64980 96905\n55747 70266\n18244 89243\n47293 64966\n75947 81488\n28421 48945\n38835 43522\n25346 58300\n9377 12465\n16316 76745\n43857 98881\n52953 69769\n62030 78640\n82072 88463\n37855 58545\n75227 86871\n48902 62480\n2788 18048\n34354 47426\n10800 99370\n52200 68334\n28451 64487\n65839 85624\n19003 86361\n76418 98277\n35014 90210\n956 82917\n45606 56126\n55482 93401\n23373 49885\n6200 88941\n29592 30306\n43114 48454\n1992 2203\n5281 63357\n85359 96676\n63572 71185\n440 86324\n16937 18983\n74756 83241\n70797 75912\n10542 92587\n21398 93965\n24182 89084\n16626 93448\n69271 99783\n17949 88987\n18663 85860\n15723 45175\n79995 84038\n41900 57739\n76660 87376\n14253 29533\n13633 69447\n57731 73851\n29294 41708\n3905 66396\n16888 95876\n17685 59374\n19353 23713\n41273 61122\n14564 96980\n24232 30099\n32300 96313\n24905 36068\n33746 39326\n49416 60623\n12861 36387\n1465 6496\n46600 49372\n7388 94435\n33223 51674\n4134 16158\n8040 56143\n12749 57181\n433 17737\n20075 44442\n16716 57146\n5434 9274\n6069 76180\n54412 89543\n6570 34955\n19160 22501\n51870 59956\n8688 91575\n8195 94807\n63813 90883\n23954 42714\n37292 78150\n46938 65146\n43639 98972\n39588 68616\n48059 78389\n19015 59923\n28668 51931\n25365 49604\n52685 74314\n3729 37357\n61625 93653\n36073 44618\n5884 23480\n36280 39171\n82157 94245\n48213 83446\n24656 68033\n45997 53132\n62313 77680\n4589 55896\n45332 58964\n23951 83161\n14832 34004\n6377 59018\n19148 34976\n23747 65518\n32149 94606\n10609 75222\n71982 93744\n62275 73849\n37561 45248\n28674 39313\n12404 92482\n48618 97009\n29714 32224\n47558 80828\n63719 78195\n30992 58606\n57121 97087\n12181 57371\n64638 94808\n51873 75516\n226 42342\n46846 71142\n79904 85118\n52036 75441\n43870 74994\n16189 85849\n59386 80113\n66989 85137\n19495 70677\n70930 82427\n10087 14894\n80080 93367\n57428 74935\n46407 70718\n48111 81707\n22680 98290\n25139 30997\n76963 97143\n73590 96016\n20743 97513\n72455 72599\n55175 65286\n24409 27383\n1759 34148\n10452 51254\n82688 85135\n815 73957\n43496 49048\n2541 25842\n9779 76498\n37315 57103\n2158 77620\n48734 53564\n18786 87665\n26415 27326\n17902 37720\n25459 37586\n80931 90028\n12496 22831\n53179 89424\n96667 98637\n20329 46290\n85195 95452\n17920 98491\n31398 84519\n474 3003\n79729 81707\n9268 98550\n18526 67018\n29272 95202\n14279 75190\n37914 96493\n47218 47960\n32263 32505\n18584 36673\n64186 81118\n32319 60182\n58140 70825\n25347 56196\n51476 68294\n2607 94879\n2722 94100\n32474 44922\n88211 93637\n5429 21353\n17720 79281\n25750 83062\n51867 60309\n59748 78723\n73145 91780\n6396 67855\n46790 80530\n14517 20293\n37329 47981\n23843 87801\n36802 53305\n4384 38271\n8251 40363\n39203 55471\n88239 96248\n56005 92635\n6795 32991\n10262 66524\n64086 89421\n17 23468\n89460 89614\n51664 80467\n75976 79491\n4549 24385\n9064 21500\n8441 52491\n72939 99007\n20981 92236\n26319 77190\n41085 94097\n5478 66563\n10394 56739\n6914 86657\n31006 63312\n45598 96739\n54498 71753\n95497 98187\n50483 66128\n78245 90584\n25665 53993\n21155 47601\n21241 42023\n23009 98405\n17891 21209\n59799 77256\n77259 97811\n51522 56044\n15171 15611\n33459 34065\n12634 87067\n11023 47692\n21548 65207\n22310 65871\n8184 77537\n55884 78721\n8645 18449\n14685 56754\n27298 72658\n44337 77456\n48447 99238\n33337 66153\n2004 6956\n29930 56936\n44343 52424\n40827 88103\n6461 10033\n45640 57630\n53696 76667\n65199 66544\n14902 76407\n50843 50977\n18185 39983\n50765 83193\n85612 97361\n29367 79583\n6845 13526\n63715 65481\n64056 76993\n64956 68241\n2922 89301\n4180 58093\n58676 98418\n25372 38778\n44210 48182\n6785 66572\n22298 29837\n29657 88718\n37087 41908\n15475 83167\n58902 69728\n3239 74576\n23639 37855\n29183 80836\n21127 59590\n18589 98147\n64509 80837\n30429 89747\n28713 99869\n90896 96803\n6687 62919\n60290 75868\n6254 32824\n324 41255\n57537 96747\n33565 76612\n31822 57199\n74943 94773\n2967 72978\n18414 39065\n34868 46086\n16445 31845\n54263 74067\n41290 90473\n31081 54668\n75368 87196\n19304 97644\n65015 86120\n333 97191\n2960 10749\n25160 42759\n8102 86040\n2909 96048\n76556 95205\n16951 76266\n36898 93912\n81538 93179\n15750 49587\n1533 38356\n7745 15175\n21946 82447\n31020 50353\n15450 89339\n28594 43950\n18083 98342\n33583 67034\n78032 96024\n14495 43607\n9505 95385\n31333 71401\n38183 64505\n9500 37235\n55849 62059\n55372 60036\n51190 72959\n41295 72415\n55514 86370\n54888 98003\n65583 83745\n60388 63591\n18384 79896\n25875 52719\n19261 78126\n24092 37743\n182 66681\n73800 74433\n30584 66773\n10728 74276\n14019 63513\n39188 50993\n86159 95727\n2182 55444\n75141 83414\n25501 38000\n36310 84723\n27697 49283\n16280 66789\n68118 80324\n12341 76012\n58594 87336\n51996 69190\n69130 84434\n30302 68916\n75260 83228\n39178 39576\n22994 86949\n28456 41104\n20019 78291\n2637 74862\n46073 84593\n51292 67171\n15419 31013\n25961 38116\n4576 29302\n22731 95392\n47520 84251\n40673 96876\n9315 80439\n62856 83908\n34645 77177\n69155 87404\n68784 84610\n9986 38225\n31436 52534\n41442 63305\n54342 61454\n46684 88856\n40662 55012\n24183 83713\n11159 21108\n30433 60568\n35823 53586\n27849 66547\n1970 64758\n6419 55059\n77426 94455\n23476 64732\n7800 71679\n31317 94674\n18200 50598\n127 17714\n6421 81397\n16838 73799\n39375 47991\n38574 48388\n5767 29587\n58368 96803\n6954 18185\n6848 89343\n29101 58638\n26814 44862\n74575 89134\n67105 98490\n11316 22384\n26081 84247\n43181 99428\n10358 63059\n50850 92245\n12476 91524\n20332 21882\n44467 59547\n10267 33216\n59613 83994\n28070 76970\n3362 60882\n44791 91269\n14226 90379\n12626 46150\n17617 57712\n34059 93804\n65508 89785\n40805 85226\n9749 94905\n95178 97036\n20442 27925\n78575 97962\n45035 94911\n10362 23708\n66062 71913\n2674 17599\n6532 98840\n19215 35900\n44648 53636\n36111 54049\n227 45378\n51304 72926\n11419 68380\n47639 98622\n13146 41944\n25085 25221\n63544 86833\n59830 66922\n63814 72629\n31812 41284\n66468 94030\n64407 64718\n75097 86540\n26467 87798\n68182 75242\n81979 91951\n34841 95156\n54776 92783\n3555 26219\n59421 87003\n4061 19327\n22845 71106\n64810 69846\n20629 25251\n33583 88121\n16209 22005\n47547 68831\n8133 25218\n87278 97577\n49569 96021\n44363 47632\n35306 52852\n18867 28516\n34177 76769\n15348 58375\n21330 37141\n1938 88254\n60084 77568\n78372 87356\n27569 34957\n82385 91071\n33816 53208\n26271 61760\n34578 38049\n20585 60446\n45813 70209\n3522 21778\n2621 50295\n42814 92631\n15004 95716\n63212 70741\n23615 56501\n14787 44849\n28753 68211\n80496 97807\n43135 83168\n18186 21544\n64280 95279\n6780 76997\n4491 82236\n3960 12108\n5329 59220\n11338 57312\n29523 42952\n2671 38552\n26086 48544\n19544 75712\n23118 66918\n2636 81362\n15208 37924\n11521 18578\n48802 63306\n38198 46659\n3674 55079\n11957 82624\n17087 25353\n37084 79157\n28013 77257\n62902 92395\n63105 68140\n2123 51261\n72124 78821\n44583 52177\n90948 93101\n53187 88376\n28274 68656\n7511 72082\n19315 25462\n29807 39529\n40782 90563\n35253 99425\n37776 66682\n51301 79377\n3976 96400\n50875 76848\n40078 50485\n11192 11237\n37201 67916\n12153 38541\n34869 37570\n33654 58438\n39389 69918\n20613 27498\n11661 97873\n25426 95289\n80710 84960\n44849 94053\n54226 88840\n47673 70040\n34734 72396\n6960 40261\n4558 52411\n10274 17109\n37184 85040\n12898 44707\n48351 93672\n91016 99196\n4417 59757\n60889 99952\n70906 83936\n38898 50121\n9324 30705\n89404 93574\n20887 28747\n3476 7384\n46754 71121\n3072 10314\n34626 61189\n12657 76507\n21412 62842\n30921 60253\n14329 39881\n4573 23922\n4973 91178\n61056 77972\n62569 95973\n17975 81568\n73378 97515\n21414 34287\n63073 66058\n60782 63976\n7935 78701\n44635 92006\n45323 51956\n3334 58148\n28558 47106\n28438 67829\n46055 75945\n23813 97081\n15367 90918\n16340 41553\n18255 59569\n65189 73051\n5054 68259\n45285 52331\n26972 51068\n20753 44177\n8938 67526\n35047 46850\n23502 80280\n66472 99923\n68870 81860\n14392 51641\n34554 76899\n12178 83391\n21188 33138\n52460 53568\n7625 50574\n3320 20789\n13101 41620\n6810 38530\n6499 39954\n19682 26908\n6648 20932\n83816 89708\n48768 57252\n29145 64625\n17191 86797\n63728 69354\n27216 91093\n21720 52070\n1280 6710\n1739 7818\n33365 95998\n22709 63065\n43337 58952\n44526 61422\n6753 9469\n56377 79810\n56140 82193\n11499 21866\n69539 95505\n5609 94020\n47980 71714\n38184 82519\n68724 78115\n40135 87164\n50065 62436\n20142 30331\n84058 92271\n20219 88075\n4603 73869\n68708 76701\n1032 93869\n23478 75482\n51124 80935\n29413 68118\n35666 68139\n5583 28828\n54222 67697\n14405 54960\n15017 74717\n2839 26781\n48089 62775\n20854 38954\n52963 62000\n10895 51734\n15893 54206\n79091 98454\n8742 63514\n74434 86064\n5400 25732\n11845 77658\n1086 65240\n3602 5554\n61574 76347\n20862 69998\n23319 82736\n40344 97372\n38950 83956\n13720 69362\n3695 42281\n27794 29138\n14382 79193\n4195 95462\n39231 40657\n41276 78896\n37742 70158\n51384 70806\n17423 43129\n9019 50266\n39732 53060\n16042 41117\n55426 79568\n31952 87535\n64440 72822\n47663 95505\n56045 56135\n35332 81396\n24801 59039\n4204 56648\n32278 85156\n41585 56373\n81215 99464\n25423 70070\n27382 73270\n42366 99939\n74602 98541\n13622 78968\n6387 98255\n72111 90663\n12093 62237\n12743 88288\n26415 85363\n10683 83400\n27898 78147\n25154 67360\n4474 80158\n25468 29487\n70344 72918\n21310 69208\n49126 97111\n51352 99254\n36294 90664\n46071 96423\n18114 91528\n68564 79626\n7416 59047\n51603 87333\n53065 97215\n14092 29084\n82764 96283\n150 96192\n44590 81144\n30759 42069\n56282 80054\n2794 49435\n375 59793\n51246 88718\n9219 77791\n13392 91705\n82056 83137\n53218 69905\n9335 78594\n93486 99004\n35576 61967\n17197 31002\n23392 39773\n3879 96198\n19372 40273\n894 56110\n15147 95994\n60492 93806\n60574 62204\n1662 92436\n19453 74686\n51329 85849\n1367 19197\n20190 30592\n14003 25725\n5079 13203\n17229 21716\n5696 17436\n1620 42718\n24701 59130\n65188 66467\n53874 87965\n21770 79003\n75499 81380\n42480 47515\n90791 96282\n18714 85805\n35262 43288\n57083 69623\n26484 70829\n23050 29218\n53834 69744\n86561 93956\n4897 47634\n20760 41479\n80450 89827\n34704 71922\n1664 5373\n2715 39816\n82692 85768\n27562 87974\n34326 66360\n46777 96115\n18321 41200\n36698 94641\n88546 88601\n63656 89263\n33671 68830\n30339 87708\n38775 85433\n23741 30331\n37197 60412\n21444 90305\n65720 82973\n29673 93554\n70099 88177\n5673 24504\n51758 64023\n15842 32944\n24778 81097\n15418 99715\n14441 50677\n82361 86545\n57664 93167\n2789 44982\n72219 93419\n47611 82188\n63359 85598\n16434 34746\n24053 60030\n36346 95355\n29446 95278\n38589 91300\n38605 79293\n43846 81334\n4129 58884\n27644 38318\n3988 92355\n74547 79945\n17138 38908\n43825 98990\n28176 86052\n80849 83020\n42715 85612\n4156 29210\n40877 68653\n32582 78901\n253 8445\n7881 66648\n3387 18015\n97902 99828\n73370 87680\n72694 75025\n11169 22470\n20975 66012\n51978 99341\n28582 46902\n3753 82546\n47887 59738\n70989 89220\n34716 63743\n11399 18459\n4206 92273\n15912 98924\n3003 20541\n48746 75719\n18069 42374\n26620 60506\n27374 29013\n8466 27921\n44739 89539\n20698 31304\n63589 75689\n50024 94446\n41644 58319\n1527 93648\n12019 81458\n78872 89046\n2134 14441\n47246 54716\n28706 93226\n15510 87568\n21055 44631\n59514 85194\n85375 86983\n7925 13560\n28627 45128\n15463 43139\n27334 47652\n63668 83415\n79559 83314\n20610 23485\n41899 76738\n32090 32367\n13618 45684\n54221 74740\n49751 87216\n6994 79192\n74465 82800\n33486 96006\n85979 95166\n16531 17535\n9353 71152\n30234 65024\n38742 78877\n1202 67814\n15658 79747\n78196 80095\n37311 55773\n34003 81307\n10622 15179\n51251 90238\n64542 96388\n55511 74479\n56959 58293\n38929 76224\n707 31068\n52786 92008\n47641 74123\n7826 86241\n46467 81526\n54202 89291\n136 99507\n17184 29506\n67199 93345\n13187 65154\n24214 89516\n73646 91027\n55040 81071\n7026 53155\n42505 81992\n41257 71911\n26657 33006\n46156 84939\n6444 71318\n53982 94088\n56665 81880\n30398 84879\n26889 41907\n48618 60928\n86368 86951\n42243 80701\n17576 59046\n15111 34500\n83603 85548\n9088 71029\n21900 97533\n11700 63572\n54121 73569\n12106 53584\n24374 38554\n34495 43346\n28647 49878\n84599 96737\n28165 61631\n3205 89110\n5265 59572\n33227 92841\n1929 91309\n25923 73268\n34537 78916\n9415 84101\n23462 85188\n13805 62154\n52028 57190\n5067 41902\n49919 60947\n14177 15077\n36245 49353\n36230 59650\n3524 35366\n76313 91636\n83755 84414\n73485 94501\n15366 26809\n87921 92967\n31769 37436\n43587 79533\n11833 38807\n16300 87720\n10968 54480\n54643 56744\n37316 70307\n2974 5859\n55167 81860\n3863 39248\n26342 40865\n49249 63020\n31108 35047\n3420 67621\n62221 82212\n10969 36960\n34557 75241\n30442 63486\n29385 98108\n48960 99359\n999 1461\n73480 76491\n6850 71025\n20261 36420\n42786 84371\n21780 31008\n96947 98950\n19087 58217\n53191 90110\n44434 49874\n55215 76833\n9245 79007\n9942 84971\n3250 27130\n6031 42990\n75570 92997\n48272 72414\n52815 69028\n21923 46067\n95042 97437\n88202 97772\n19524 84823\n40873 73919\n21011 94548\n17298 29988\n16659 30533\n27498 75083\n19437 87569\n19033 34476\n68558 74332\n6655 98431\n29889 67865\n51760 69518\n1584 46874\n42853 98557\n1066 73747\n24662 89267\n34639 70482\n22172 93503\n77707 97032\n15581 60622\n10687 83383\n5848 26416\n19663 95693\n35769 50797\n57138 98225\n79486 92417\n37458 47596\n54005 62183\n62264 77803\n41025 98422\n12476 25212\n28748 74222\n57587 90534\n25532 69538\n20032 80873\n37582 90926\n33305 54348\n28129 90200\n49935 59766\n45342 76041\n44660 83448\n2086 62076\n32779 97126\n38468 94906\n78507 90920\n67141 90351\n30824 57994\n77738 88365\n5790 34669\n5473 49702\n9302 13833\n29303 60085\n51081 79967\n90059 93766\n82006 91068\n72339 79109\n49435 53378\n50324 95134\n61363 93665\n81459 86127\n56552 73180\n27203 28459\n9876 95413\n30043 59867\n12454 59631\n53040 99371\n26285 31268\n14287 88396\n32866 59073\n19223 53514\n41 9708\n48663 69788\n39116 87571\n17555 22701\n87218 96423\n59545 65574\n19006 39214\n4681 62941\n12496 81514\n71873 95645\n26204 64743\n571 2242\n7608 19463\n14887 36230\n5357 75733\n32785 89683\n47837 97178\n13166 23710\n20985 76777\n63431 87250\n47849 59709\n89343 92849\n1455 83698\n15533 35152\n21660 35313\n47525 88898\n60847 80806\n83393 89584\n9829 61801\n31650 93511\n38707 56616\n24196 76223\n1945 15172\n55903 91588\n28219 28412\n68147 75108\n17462 93993\n33177 65030\n548 89100\n28672 90444\n3798 83723\n41733 75630\n5862 73392\n7692 99941\n26766 37108\n49876 95340\n44512 67505\n12211 15767\n9134 80766\n32393 78318\n18681 52847\n89229 96024\n65085 67098\n32247 53287\n30942 36318\n28510 81225\n32212 85226\n28035 64036\n24823 61937\n67290 96128\n41202 91124\n42600 70510\n31966 80494\n30595 65920\n64975 67687\n59494 86279\n717 55066\n60733 71614\n22832 63112\n17383 82831\n23905 38204\n24233 76400\n17123 64356\n29950 96635\n6469 30855\n2832 94407\n31976 93255\n47360 65684\n27985 37544\n45161 68448\n59804 83786\n77106 88591\n46750 73501\n34897 80608\n42782 59328\n44551 94951\n23608 92092\n18992 56189\n11762 32923\n28494 80520\n9044 13251\n91436 96214\n17789 52841\n21521 95768\n27028 84709\n51361 52617\n3667 59318\n3339 73568\n78003 82082\n17526 85989\n35038 89443\n51016 65597\n41251 57983\n32464 46049\n51439 83859\n14101 26394\n49787 53152\n39705 86724\n38307 70382\n2967 65114\n65647 69085\n72406 79932\n57196 78819\n27527 74431\n262 78109\n37435 83374\n74026 90779\n22528 44005\n14951 41941\n58392 65677\n6297 66795\n14626 45135\n54963 86474\n8219 88350\n8680 88765\n31643 71812\n37562 56615\n55880 82710\n2286 73910\n10594 39947\n1664 89482\n76989 81989\n10897 30700\n20715 25922\n48182 94567\n11090 13650\n20110 49107\n284 33678\n28393 82811\n5209 84354\n30569 68040\n17253 76974\n40047 44760\n23291 93370\n42839 83820\n59110 72606\n36817 62936\n47534 74541\n60324 96815\n18043 97209\n65028 98202\n21300 36065\n37776 91875\n38421 58229\n61793 70164\n27368 52932\n7330 59401\n9215 37939\n34857 95978\n74746 82388\n89411 94157\n34260 57306\n46149 98479\n17389 75929\n37829 86453\n6475 31250\n37995 59362\n65193 86090\n2739 94508\n18046 42044\n69517 96016\n66688 77114\n28292 77742\n17039 62042\n14092 64111\n83779 87150\n7903 41318\n61313 85561\n3182 7440\n15536 49110\n27007 73993\n37242 40395\n9853 22277\n45364 89269\n54565 61617\n23276 44877\n59997 92812\n49022 93768\n15577 64313\n53712 89160\n18996 31147\n56228 97198\n43751 61091\n25133 38877\n7177 46275\n16776 63931\n39173 43879\n8810 77438\n21762 61284\n21287 25455\n36422 44535\n36417 89680\n3682 65018\n17212 99678\n47966 69366\n31316 78574\n24175 60433\n35746 57125\n48753 60200\n4466 34938\n26068 52055\n31154 71573\n31431 37599\n16812 37152\n20662 46530\n26624 98313\n14459 40973\n81389 84237\n3712 23914\n11856 63217\n53676 63511\n18122 36385\n1419 86307\n29445 73786\n19396 90893\n19182 57672\n61100 63386\n78501 91788\n49485 92455\n42809 79110\n17543 40978\n65076 65823\n20695 30674\n71241 79343\n74568 82952\n15597 65279\n9034 32454\n12295 83544\n25841 45951\n45467 90270\n70814 86590\n54449 63014\n38258 53866\n17542 66560\n25701 47628\n78512 86048\n51755 53603\n54046 84833\n57476 91772\n134 34815\n17469 90712\n12127 57384\n9805 68137\n22355 61284\n26295 64871\n976 86197\n2103 10912\n35162 38753\n38059 86221\n4120 64949\n2826 48025\n48076 80083\n12018 78449\n57743 74434\n2982 38917\n40909 95384\n8154 36545\n10058 14090\n50281 70991\n13352 13900\n2242 7145\n4505 88406\n72026 78604\n907 46037\n15773 48250\n65951 76923\n43735 72946\n7653 27630\n28928 76620\n2086 62435\n41160 81914\n50217 75276\n9227 21232\n2698 63411\n10262 91322\n2122 85769\n17271 49565\n38672 85215\n29612 42484\n4443 56700\n40002 91831\n32924 52180\n5949 43669\n87507 91064\n5125 96094\n7094 78876\n83291 84958\n53706 66331\n92721 98735\n29481 62988\n34657 63658\n13631 66652\n25472 58109\n31675 90016\n36550 69932\n11611 82348\n45919 98706\n66613 70580\n8748 41145\n4481 74932\n11222 16110\n47802 87551\n49440 56772\n54328 86381\n24256 57519\n85707 92821\n3794 40138\n84863 85330\n20525 78929\n45386 67517\n69006 87741\n20585 82074\n13674 61652\n14645 46092\n24997 42764\n9214 33668\n13872 15256\n3310 23426\n18219 69052\n38413 89817\n37957 98366\n31849 70068\n30593 48181\n5623 28057\n84118 95143\n50588 88901\n29644 74289\n23712 36371\n8370 93791\n29011 65235\n36318 37169\n45412 50029\n22084 46809\n45847 87890\n12684 46833\n26997 43901\n16371 19902\n34156 89342\n38666 68923\n38702 43128\n12591 55079\n25587 55252\n38861 42409\n24332 40796\n30115 80259\n60353 73122\n2820 39737\n89582 94982\n24191 39507\n47163 74180\n12092 48753\n83850 84818\n33873 75443\n4732 97173\n29160 74763\n52725 74652\n20780 21253\n27171 99380\n55974 63856\n22499 61479\n3116 89864\n52757 65580\n17026 30182\n18762 34550\n55933 58533\n6806 15222\n14317 71277\n16095 19918\n25548 96379\n69143 70397\n3778 65894\n31282 56294\n53416 96028\n9105 16028\n21983 85850\n3133 28913\n57622 80817\n41098 54466\n47359 73707\n33269 84981\n5157 21841\n33169 76078\n94751 96230\n4168 50231\n10911 19269\n51625 74592\n36188 43005\n69856 91498\n58471 84039\n55501 90035\n40664 72509\n68916 83891\n4232 23883\n19660 24999\n5222 93609\n52997 78320\n48549 99739\n37073 41438\n11112 40082\n2862 32858\n73 94612\n23834 81140\n20178 58469\n19608 75606\n10722 38855\n46992 93035\n19849 20058\n7651 81632\n23892 26754\n46525 64763\n70864 74787\n53235 90091\n37630 95838\n44278 95728\n49641 85852\n3446 31892\n25274 70801\n66096 72720\n53750 67335\n37437 77037\n41478 76473\n27332 41803\n3809 70897\n33267 89434\n36948 96182\n8074 56145\n1769 26889\n21318 58698\n40121 53506\n69796 95786\n44642 80201\n19037 20571\n27805 69483\n26888 91746\n3106 37650\n27522 71128\n71704 97339\n45382 93204\n3193 93203\n8904 84069\n64287 71604\n34895 77807\n6823 95291\n27305 95755\n45354 81859\n62108 98426\n35045 84464\n21558 51707\n47417 50000\n95603 99672\n5402 22269\n68251 74977\n38657 93188\n67299 99790\n38866 54087\n3397 69614\n11391 84839\n36450 51539\n44526 48671\n31246 53820\n14866 66857\n87510 88927\n26059 32048\n21656 57446\n12994 93999\n39487 86991\n24249 38313\n3358 72534\n11993 59062\n41386 67409\n70925 73329\n70461 73340\n3180 59920\n20635 53098\n12574 14970\n69517 79106\n24014 69634\n17956 64982\n72404 74762\n32966 49397\n17222 50519\n9962 37096\n2726 45772\n27254 98893\n42521 67659\n4985 30359\n7535 59957\n32614 35911\n4160 49074\n21816 86639\n16814 74626\n5040 50462\n44801 53663\n579 10902\n55058 71075\n59295 76374\n11615 35343\n21483 91717\n53996 56029\n27852 86095\n36739 68107\n54527 67279\n9355 97115\n26140 95464\n69395 92558\n63258 65911\n47825 57945\n33490 70211\n17431 86692\n4648 25559\n18498 29718\n6234 85787\n15552 44143\n45988 84661\n4021 59534\n43022 44051\n53058 73535\n41357 66448\n2075 86843\n28579 65840\n35182 38755\n29444 66523\n26065 53902\n51346 63815\n21089 43443\n9434 95503\n37306 55424\n9680 70661\n22502 67367\n25119 59012\n74548 81894\n2232 8822\n5097 45399\n16101 75552\n61464 68882\n66388 72875\n17512 94136\n18509 47982\n11718 31239\n27800 85757\n10457 41107\n40721 94345\n52382 59428\n26670 83975\n43171 63983\n33357 85339\n1941 26175\n10864 53615\n35449 92282\n14645 42184\n27621 87583\n46907 61880\n47148 53312\n46030 89047\n86633 95547\n10644 17667\n12999 66468\n3606 52439\n44139 64352\n62927 87956\n18702 84813\n18128 35860\n19969 48809\n71571 95803\n59716 67452\n73374 75499\n36998 63392\n27181 98395\n15274 95278\n36056 39492\n14379 62243\n12958 25682\n47439 95312\n44766 80525\n19973 91256\n68100 99973\n7953 56966\n11432 37919\n15105 36214\n65521 98441\n1713 11555\n25920 83981\n7476 47292\n4628 90651\n10582 20575\n77213 87765\n56701 68146\n16684 98767\n52313 69398\n28070 37650\n33426 85500\n11158 35123\n65646 71048\n64569 69157\n68615 97140\n22071 35452\n31396 41717\n30088 76914\n57341 60839\n22823 34777\n28007 32231\n25028 99620\n56291 82569\n26270 72773\n10955 33276\n39050 67307\n3760 69886\n45241 92307\n35526 54479\n12866 92305\n66262 77548\n86450 97479\n47040 76042\n24892 25782\n10754 62304\n13621 74040\n73868 85241\n3293 16823\n19145 84349\n4836 23297\n8882 96075\n60913 60926\n21851 44679\n20386 34042\n21636 80168\n13257 89473\n60069 77585\n39046 45615\n13690 16884\n17594 57263\n30160 89102\n5431 95264\n12036 68974\n7627 92844\n35313 93986\n52408 70322\n75324 77899\n90750 97790\n41479 92325\n18007 53086\n20181 60406\n74674 91102\n33112 61133\n68212 94004\n8 78123\n45986 77127\n13026 15886\n3406 62435\n87273 91448\n49796 51199\n51761 86633\n19276 79046\n39434 97417\n74442 77585\n65469 94524\n7877 99862\n27756 71982\n11272 12948\n62312 64484\n25131 47672\n56954 81855\n4358 5963\n20691 93309\n39130 79400\n25071 77756\n33957 44777\n49625 62660\n44775 83970\n34832 39393\n4126 73238\n32142 42389\n19506 81279\n54549 77356\n30273 82947\n22486 42652\n81013 91411\n21080 83690\n26345 31805\n41374 62613\n28643 77513\n41870 63481\n29215 39316\n58012 97345\n22183 95532\n19807 70172\n80597 90079\n72415 91334\n51819 80011\n85869 86751\n33101 61792\n46500 76640\n57419 62743\n1885 62834\n51221 85682\n1520 19887\n38943 59520\n86189 98041\n8711 49544\n72184 92211\n4412 85392\n73364 77543\n15536 79038\n12501 16080\n57072 79185\n68979 94255\n7037 86427\n804 78882\n2702 15026\n4213 83038\n637 23174\n25937 83577\n23228 76152\n63540 95464\n5478 39725\n69800 92244\n49511 56738\n13861 97756\n56352 99230\n55277 72372\n4446 56555\n32543 70359\n5600 19131\n81170 86596\n6676 32133\n20988 64629\n42939 43775\n21435 29992\n23695 82762\n17321 79739\n27665 70205\n55736 68637\n2548 64605\n12176 76922\n16645 32410\n26343 69141\n35553 91420\n3101 72453\n36689 66499\n67115 99085\n14115 99258\n56389 60887\n36288 81907\n39272 57333\n26250 94443\n2026 66126\n54457 54714\n31381 67510\n41808 52032\n48111 81791\n11973 76034\n3668 55421\n10506 33408\n34189 88195\n14430 66594\n57917 63980\n17166 84614\n14976 57020\n22550 87422\n26798 78570\n3927 73363\n1102 89871\n19557 46893\n85225 93265\n653 25007\n22003 88970\n39855 47317\n33854 44076\n21025 28461\n18940 22619\n21738 56706\n20792 40176\n27405 96977\n27753 96435\n5801 90305\n76356 88096\n49741 94702\n55147 56571\n10972 99401\n49118 52865\n3884 8924\n29927 66127\n22078 33867\n34257 95978\n57293 73754\n8292 71012\n46448 65103\n22863 70455\n18698 39840\n9029 92044\n28381 82476\n38013 58285\n69958 75111\n47065 62825\n8393 13578\n3604 30618\n14884 17742\n64188 93123\n10086 56945\n67503 93570\n8814 65822\n5196 44947\n45280 78395\n31431 98581\n1545 81165\n24235 97537\n2431 82612\n22051 95652\n40292 42344\n17270 17584\n14718 90716\n68207 86578\n22211 26214\n44353 63818\n84668 93330\n5689 7787\n47359 57245\n75835 91274\n44106 49068\n1448 35584\n61449 96458\n41060 49367\n86814 86969\n45563 66945\n53166 60727\n15854 47111\n41008 47503\n16848 96051\n44698 83059\n25619 58678\n44162 88267\n321 70422\n57285 88592\n47179 91299\n5814 40243\n1246 44061\n47433 62436\n55442 79411\n7110 88861\n5455 18482\n69430 99055\n25256 79614\n33865 63662\n36504 92455\n10608 14682\n39815 40034\n15355 78365\n48014 73582\n15900 22755\n41794 48695\n38554 88501\n55477 62336\n7377 27770\n2111 23782\n72314 81336\n42840 78890\n46020 59345\n9710 26412\n29648 65302\n30704 78640\n10511 60247\n1890 71823\n1759 56259\n8477 56267\n366 75190\n28670 35660\n2023 45418\n1013 70093\n22286 24814\n30613 68085\n12534 66595\n29060 43570\n93183 98653\n9141 69765\n55098 90550\n14199 76154\n24969 99823\n40011 89983\n4846 44565\n19859 88589\n57385 62241\n44373 84807\n54517 65653\n6953 50020\n43671 89736\n77217 77440\n23996 97048\n27315 28693\n37991 93501\n30920 85460\n2656 71756\n25689 88278\n33106 52333\n63462 73031\n31338 99508\n28285 63163\n10697 35872\n48985 74550\n14250 98902\n46432 55513\n19884 65771\n20445 77841\n35148 75836\n12635 29799\n83072 86554\n22045 41111\n12842 89559\n21052 62210\n66053 84206\n87405 87509\n69223 95357\n50648 61203\n77014 90599\n52088 62453\n5610 65993\n75104 91196\n18595 99496\n67355 98496\n14089 53841\n9587 70997\n47954 61847\n15216 95181\n12982 20805\n28374 84826\n53416 88818\n59980 65334\n49545 90547\n31296 53504\n19615 53020\n2077 68485\n35302 95916\n851 67245\n54147 95214\n28619 82847\n46492 84524\n455 18520\n7622 30016\n7919 64157\n23965 48582\n47084 49483\n46862 58217\n65629 86017\n49443 64529\n48142 91717\n39174 58357\n44496 51214\n14244 92451\n4331 46827\n46770 82286\n9122 37006\n3919 44061\n19668 42786\n15300 74042\n5484 42859\n10743 48068\n11478 84102\n26489 78801\n5734 48208\n84365 94187\n58907 88623\n29089 29304\n9054 81160\n64948 85163\n40179 92585\n15529 37534\n48127 77585\n43774 58241\n22322 23671\n28775 44687\n48153 87218\n72710 96087\n59359 78621\n45835 61305\n15597 21382\n18061 98026\n56600 78894\n88578 99262\n4989 13509\n72924 84391\n36652 74987\n56374 66417\n20054 40493\n29404 70341\n53521 68212\n19683 33233\n15265 49081\n49749 84851\n85597 87622\n29016 31173\n7828 27044\n31043 78195\n24643 90566\n19658 36684\n74476 82285\n12607 54224\n13702 91292\n5054 11059\n7815 89638\n372 45809\n6887 32720\n32030 37383\n90997 92277\n74696 81931\n22817 41099\n19505 46830\n3031 58278\n64720 79976\n52181 99363\n20274 76305\n24207 67657\n42182 80891\n26949 47892\n17917 61296\n35243 56705\n2192 20691\n38744 99922\n7392 84975\n27919 56631\n19286 40861\n84435 94787\n5631 95171\n62336 86391\n59539 71518\n4084 48249\n17653 74107\n41771 86810\n35016 39456\n33950 62064\n18258 71237\n45928 49696\n90460 91319\n28753 87850\n42560 82613\n73233 89020\n6065 65056\n40172 78552\n56599 82552\n92670 95899\n56333 88704\n1859 96264\n55054 63664\n2856 35809\n64534 81272\n54993 76557\n44960 87376\n76651 99230\n24651 55742\n10544 63376\n14797 32364\n2405 64266\n51500 96964\n54927 75606\n4385 39694\n21108 62245\n35505 83338\n61447 97032\n78484 93112\n35236 94376\n6497 71889\n29405 84947\n15889 49469\n16494 92179\n70947 77583\n8000 60103\n39510 75157\n27998 99418\n23370 50740\n41139 50170\n15399 42203\n20006 34786\n20472 85530\n3743 89072\n60108 71340\n54510 98431\n8676 25036\n18475 43346\n5246 79991\n4706 41069\n53931 86669\n9717 71645\n16077 60743\n35043 91894\n30720 62781\n61627 67939\n34919 95000\n11401 35480\n4848 46557\n28172 59690\n49102 63051\n76310 85318\n57256 69085\n22406 51494\n28132 86881\n66942 98382\n83766 89298\n62116 90066\n629 81455\n72834 99493\n51516 70951\n19387 64634\n30662 64789\n4459 54041\n39583 67999\n11471 24084\n49742 58262\n13919 24145\n83091 98039\n13252 93979\n30311 55211\n18933 48091\n74796 90973\n30845 85007\n44295 83286\n56075 84159\n69921 78816\n55297 75080\n25992 32496\n26372 40805\n49277 79921\n61166 82939\n32634 35031\n33487 58596\n15902 16844\n6608 76122\n56708 67439\n17445 71442\n54749 78943\n41931 82464\n11307 18055\n10845 11979\n29190 42559\n7772 88825\n10219 67638\n18950 39082\n41256 59014\n62584 82803\n482 49824\n3021 12556\n31793 98472\n3947 23541\n43944 70266\n76221 76745\n9338 85079\n19548 70148\n53050 72875\n48167 53350\n35687 80376\n253 11594\n46309 96689\n30570 74864\n7570 24159\n20902 41904\n18061 61921\n76272 98563\n7729 29215\n5410 9842\n9943 87193\n32846 64732\n8242 70868\n79637 83799\n14658 92164\n25223 79571\n25102 26167\n16625 54130\n52243 76974\n53 73138\n30406 84802\n79038 83903\n51037 87369\n11340 33933\n38856 45132\n2243 56172\n78491 95257\n26688 42395\n68563 68679\n16474 77996\n25688 66618\n56198 72348\n27756 55020\n7145 81881\n20723 88404\n23964 47182\n48211 53077\n3791 11454\n36193 56941\n9313 40672\n8549 66557\n33984 42792\n19299 67402\n21788 45070\n9866 90199\n40723 43368\n48323 87601\n10827 46870\n2257 64897\n15167 34462\n4332 8992\n551 34211\n18784 94594\n47022 53302\n10983 39763\n8517 70958\n47915 85256\n40191 75605\n58950 86754\n30367 37603\n7735 66753\n26059 40434\n51200 80369\n18744 43383\n83257 84335\n7521 74214\n52589 70110\n6098 98949\n33219 83877\n10291 58094\n26786 50028\n14459 88701\n23726 24869\n7197 8636\n67348 72581\n20190 93837\n107 17948\n21689 37492\n44112 68147\n35966 57459\n7494 49842\n81525 92592\n48415 52109\n57557 69183\n47029 94097\n36954 49873\n34736 35905\n5845 67063\n975 29570\n3271 42466\n26337 90116\n69154 87664\n61696 90161\n17006 30112\n15159 19592\n47506 96020\n14789 58894\n54555 98558\n70177 76021\n55407 75382\n62755 67100\n47265 85771\n28759 95197\n6842 92668\n4937 80137\n52542 77064\n50511 94451\n37309 62086\n80435 83188\n61637 64114\n40640 63951\n29029 83205\n5245 85614\n14960 26688\n76770 84091\n4598 30173\n33635 54149\n8615 35145\n32418 38932\n7093 60360\n18156 35667\n71218 82340\n32810 83152\n51547 98349\n51816 54605\n38266 67853\n27444 79006\n1676 63470\n45788 51204\n17281 21424\n10747 87977\n23853 77158\n38306 96003\n74125 77618\n2587 34643\n29824 43256\n9291 60417\n31088 45721\n49705 77002\n3899 84764\n71266 87726\n78804 93392\n42558 52439\n21307 44472\n7721 12258\n32172 88353\n23292 80649\n22781 91398\n8437 97764\n76760 84710\n20741 22744\n28689 67424\n11053 85288\n9394 60982\n25311 37456\n71041 78767\n6877 91639\n35132 50940\n76951 92050\n22259 66111\n15174 20343\n10691 66277\n21788 56300\n59325 59635\n65892 87065\n94722 99305\n4009 73267\n48760 95198\n75305 94450\n26253 65312\n51188 71138\n41717 84355\n16379 36335\n33586 36490\n5896 50484\n85607 95998\n5354 83769\n66425 90169\n10057 52397\n22225 86231\n40582 52006\n6506 93366\n10393 23586\n29289 49781\n32540 40701\n48629 93786\n64360 89410\n49551 51582\n67247 69159\n35647 80624\n47967 54063\n42304 62607\n24354 67594\n53470 60774\n66345 94174\n4346 29496\n21733 26644\n34395 35653\n5304 85533\n11153 28008\n40086 87382\n38643 63061\n10509 32567\n23190 33265\n47504 63605\n53120 92154\n38437 60191\n5575 33486\n4504 9462\n4813 96282\n17342 33613\n35870 68539\n19053 22582\n25064 71969\n4372 67150\n1065 11182\n26418 46548\n18069 93421\n24836 90300\n10368 98638\n155 59114\n1975 79246\n33953 50551\n19020 45754\n56312 82160\n26496 61242\n5441 64103\n41161 63691\n30813 65279\n35071 85223\n8627 81146\n17716 94769\n7595 99340\n67230 89803\n58977 61339\n2581 49642\n77785 88617\n28302 49912\n93724 98219\n3577 15894\n35985 82479\n14864 29032\n30703 94952\n89929 95123\n4940 22910\n18201 40014\n37890 70279\n53929 78031\n20583 59459\n38217 49751\n6051 71974\n68207 70127\n26818 58066\n78119 88079\n56557 81695\n19003 96907\n27585 48399\n62 55667\n895 33125\n52359 85132\n86418 89545\n42971 70944\n37103 68486\n55478 68388\n7201 74721\n18461 37903\n27771 51514\n15242 97142\n10782 42244\n7849 69187\n35467 64533\n53392 76969\n13773 46411\n10207 12540\n27585 99854\n61045 84796\n14273 85848\n24369 54596\n49159 66346\n15402 75682\n24890 43711\n28817 45715\n32786 88933\n81579 96476\n79754 88406\n26628 72327\n32109 78124\n42035 69770\n23677 27909\n56771 64472\n46196 95462\n21118 72118\n28757 89378\n13042 73124\n25000 55587\n53137 81323\n30815 36186\n78250 86119\n4775 39255\n49750 66876\n10515 96099\n39332 62992\n33339 69758\n73314 89970\n49121 59841\n10902 23566\n27266 53580\n18885 57181\n55685 66626\n11906 65904\n51492 68084\n66250 88376\n44440 92925\n7026 26878\n21268 99845\n23431 39038\n20795 38957\n35251 78819\n18508 98865\n40260 53585\n18988 56619\n79602 92439\n4778 57981\n52827 88312\n73768 76083\n2223 52208\n71766 99756\n31853 80227\n39656 77757\n6270 18030\n1480 49296\n53445 90095\n2081 61534\n50753 87926\n79527 82459\n18319 47042\n75820 81674\n17887 18777\n1541 52870\n65883 95850\n15226 30955\n55200 88527\n941 71385\n47030 75205\n18783 67414\n63210 64442\n14375 82669\n15123 30423\n38927 92280\n3759 13456\n65816 72446\n34865 55492\n21909 55482\n35472 89648\n11566 40616\n27874 29689\n10690 78846\n58869 66060\n8973 11512\n39075 56664\n19986 63165\n79372 80857\n41376 73729\n60090 94164\n13984 21188\n69327 72908\n66355 92024\n8497 95557\n76755 85490\n2496 56267\n46720 59775\n4116 7717\n87970 94267\n63296 70867\n29093 77209\n17148 78732\n18327 84689\n31802 87423\n27519 48552\n72311 98226\n5074 75756\n2553 44793\n20774 90303\n73001 74965\n79337 84096\n15626 27959\n8639 64509\n7018 51414\n46474 65816\n16051 34065\n67137 81357\n26058 28666\n8843 57710\n10524 78661\n40508 71622\n4120 90346\n6726 51018\n1753 49861\n22139 96138\n26046 84494\n7965 44733\n13081 36995\n22554 87684\n8374 62461\n47992 94913\n64614 86802\n53478 98230\n80025 99282\n55391 91645\n30488 49574\n15899 21485\n47911 67476\n25443 93496\n44630 46106\n6876 45843\n16390 90377\n66009 94224\n35669 39495\n71876 72606\n66581 99549\n24319 95892\n18957 79467\n72446 73106\n72634 84706\n44140 88258\n27405 72983\n62836 82424\n20576 59012\n45035 56297\n51290 91327\n1702 80715\n65574 71502\n94717 95681\n27064 58792\n37143 80589\n13234 26148\n29034 37332\n45960 48245\n61885 84927\n86982 92676\n32734 77731\n10635 94590\n70061 88292\n5071 11178\n25430 70610\n27521 93970\n14443 67744\n43736 92511\n58387 86147\n25658 72941\n68268 93885\n3536 80867\n29568 42508\n1542 40611\n37599 45066\n46785 69406\n16439 98311\n34652 64952\n11886 30017\n39266 63072\n68035 95601\n17181 90968\n94804 96572\n9921 33890\n78097 87751\n49110 85500\n82375 86252\n49059 57650\n36246 44447\n22606 24742\n1591 76178\n4908 96124\n40652 82270\n18455 96983\n15189 33048\n10956 90658\n41721 50334\n29571 86690\n12679 55989\n68961 88217\n84017 92908\n77865 78638\n33192 94628\n39363 61329\n37525 93073\n2070 30567\n75222 97544\n18686 49280\n15662 89491\n46269 74162\n75646 97856\n24454 84309\n46333 70356\n12352 73100\n73642 77534\n5435 74448\n43131 94610\n17231 79258\n72395 81945\n2799 17335\n13142 63036\n58006 98995\n37237 82539\n70213 73294\n12049 65929\n12818 28558\n45862 61297\n23727 70697\n55941 96742\n951 56254\n3496 51820\n72075 84935\n24850 66581\n66465 81092\n47827 86414\n43829 89230\n37976 40058\n1594 61415\n11293 17059\n5957 89161\n11652 18585\n8393 98207\n68223 89269\n6497 50177\n17226 79161\n37494 97488\n64505 97676\n22062 64450\n61825 92594\n28841 77889\n48335 62893\n35696 82861\n64978 99581\n68690 71073\n42052 61686\n9177 75950\n2287 98582\n36473 90191\n78091 89438\n23239 31461\n16432 59880\n15792 21452\n13071 79700\n49568 88755\n50076 91031\n4201 28343\n4650 72265\n68331 72537\n6596 78415\n31651 70029\n34 99701\n28415 93105\n22249 41681\n12711 38063\n26609 79553\n24196 57819\n1715 93633\n1328 84396\n73251 85056\n23111 51137\n1049 41779\n42119 79741\n645 2676\n93191 96885\n38566 96660\n39897 47393\n52886 77284\n50151 82906\n30760 64907\n15813 70150\n17091 62569\n55822 92012\n35817 67790\n77854 88373\n66598 76151\n62941 82212\n56975 75069\n9979 92322\n9337 37532\n67782 79390\n18618 92616\n16801 99366\n73580 96370\n44446 84817\n27571 30501\n3484 76673\n21346 57061\n15488 66814\n25610 34852\n51640 52635\n13172 47497\n56127 90158\n49818 85402\n8871 74035\n17794 29492\n11355 88126\n26849 72368\n29794 78570\n76147 86424\n2191 16782\n52907 61970\n2278 11365\n36351 65631\n14745 45594\n13442 57362\n16049 79572\n7331 91738\n6551 71438\n84208 97139\n3849 88871\n809 84668\n6076 70947\n47299 74803\n62025 86618\n822 98817\n40873 45868\n43546 85663\n15387 25218\n20033 48910\n64672 76712\n3383 63302\n35294 67946\n32858 85369\n9891 15734\n59473 68723\n60666 78937\n39640 96054\n13430 72350\n37669 62039\n31178 59820\n31148 79340\n71203 99681\n4918 10171\n74626 87420\n48495 95503\n2484 6576\n36344 89106\n76822 88689\n61587 95133\n4805 6221\n36051 70634\n31046 67165\n3672 60995\n464 30734\n56207 93803\n27957 84913\n54126 84231\n12599 18583\n1926 62890\n21208 85752\n21511 56233\n71310 79083\n17653 18137\n51216 87560\n50466 61295\n80430 96872\n21425 84008\n9370 58152\n33125 68836\n41648 79251\n29568 80103\n58341 67073\n25479 30754\n4060 6737\n11675 74094\n23849 65690\n53282 97826\n25909 92759\n65427 78949\n42346 87028\n10362 91154\n53941 86894\n53089 73868\n5775 78163\n12286 22770\n68039 69430\n37371 53043\n9218 99647\n15973 45020\n23514 65501\n74386 83924\n18243 77568\n21489 98032\n48584 93375\n16870 54733\n52944 75480\n12996 87649\n50623 95179\n47871 80360\n35023 35381\n44501 78651\n23215 74980\n55285 65708\n41143 73177\n6338 47769\n30941 67277\n2514 83813\n83050 89501\n9279 33079\n3100 30010\n59143 84958\n30294 68244\n22031 52309\n72601 94429\n59794 85456\n2760 85169\n27955 69607\n10387 65286\n7223 72232\n7149 83629\n17744 92560\n17349 44687\n53560 59861\n44931 50968\n41906 76186\n16046 59214\n20604 72439\n28807 69565\n27273 51933\n43927 71180\n24614 24904\n57433 58459\n93725 95980\n15118 56575\n64998 97496\n42669 53426\n30855 57183\n7131 60504\n11796 36223\n80606 95534\n36891 84476\n11581 82067\n9490 55462\n86660 91773\n36512 80686\n35408 50261\n28710 47993\n38163 58781\n85184 96116\n39020 86560\n41547 75614\n95758 98201\n214 78311\n31696 45603\n26878 46074\n68501 85982\n31540 74230\n20597 69711\n5579 54654\n91070 91629\n68293 72560\n76404 78490\n19611 71405\n35434 94921\n11872 36059\n329 81954\n21370 31481\n632 33611\n54176 74736\n17669 55084\n37024 74285\n12344 32848\n4581 37698\n27214 63548\n20839 70011\n35681 45913\n7509 24211\n25966 95275\n41473 41809\n45674 46956\n21555 76646\n68743 96849\n32072 45790\n11284 96375\n12445 66957\n28418 75656\n45157 98973\n5975 18610\n60226 62676\n1244 28731\n37098 92428\n14471 90633\n57877 86336\n30104 78965\n43552 82957\n4573 38310\n6999 7987\n16236 82680\n66739 67473\n19098 32365\n85204 89485\n51045 75486\n17085 70597\n67400 94606\n54717 58011\n41611 70365\n25738 50855\n28450 40918\n90928 98294\n58091 74098\n70726 83333\n3080 25720\n13084 72832\n41363 77247\n23905 90026\n34319 92190\n68239 77991\n84696 92367\n35924 65351\n20105 45058\n5067 59491\n4545 21922\n35978 87032\n6280 28556\n12860 55436\n41759 96834\n14533 61899\n52412 92645\n57104 80677\n21750 71514\n32513 70659\n26105 26683\n3341 14462\n1266 16268\n11395 37958\n81552 88246\n11613 24403\n61084 78166\n29004 66444\n9685 13591\n74573 78323\n34287 80542\n18096 29850\n69417 76702\n90910 98499\n7661 53183\n43370 99029\n10728 44993\n5312 30017\n74866 87832\n38775 65592\n6097 18116\n47548 55800\n53173 92611\n58269 63084\n354 69423\n69845 88118\n7475 77550\n81229 97469\n10781 23525\n2368 35750\n48626 86313\n3584 64691\n13506 27102\n48850 62053\n369 37051\n18111 30621\n15457 97916\n1811 47271\n6336 94993\n60412 95097\n15707 16754\n69021 92127\n36031 45777\n62094 91906\n12179 53189\n59640 82457\n22186 84840\n72956 94208\n11378 20750\n70768 77948\n8660 87862\n36993 80018\n58685 95519\n18037 76688\n22027 25148\n9330 55997\n84012 90533\n31689 32976\n942 99084\n16071 43089\n4530 69904\n45720 82796\n73457 87717\n3185 37703\n44960 57134\n23989 56989\n36623 64780\n49907 95431\n99140 99989\n4649 31436\n55592 78527\n86533 88401\n59353 97761\n78049 85586\n22858 77112\n56023 77271\n78393 96569\n15920 78448\n33167 42182\n9365 69504\n55928 76042\n9423 17839\n48191 56890\n40365 52406\n67942 80589\n10693 45363\n38441 93016\n15355 89732\n44694 69504\n84583 89340\n52071 56177\n17611 29329\n61617 74034\n10074 44459\n2847 77792\n4717 6715\n18042 55222\n42007 63807\n92257 93962\n19414 77683\n77922 99415\n15370 65089\n12750 24080\n19150 36576\n2702 82303\n4813 62693\n16821 76533\n56701 82071\n36582 45538\n31372 98020\n28601 90995\n44204 79553\n41067 99909\n295 11775\n41783 76686\n74760 85652\n25674 94203\n60286 95904\n86767 88729\n55942 88700\n93181 98755\n1184 25761\n41328 71319\n56275 60126\n12449 94206\n17942 23535\n78039 82543\n18594 30891\n38477 67925\n22086 67780\n68988 87584\n53460 86052\n17087 19142\n85587 97597\n3759 78817\n6422 88215\n21148 54517\n25865 29653\n82835 97579\n3007 26729\n16640 26362\n16491 91931\n9745 11217\n9678 60063\n28557 63274\n26141 73062\n55764 59577\n8268 25653\n48867 82017\n11300 74195\n28871 58088\n64393 98349\n6300 57336\n18196 42551\n71776 79024\n69576 73015\n22460 63695\n7110 74426\n58132 99301\n8192 22402\n44517 63972\n39889 64113\n30287 86982\n64633 92354\n15726 77924\n43766 72599\n47869 85142\n3556 62085\n55823 63476\n25186 97034\n18327 34101\n13275 53586\n65913 77045\n55781 70182\n1161 36787\n33795 97264\n85083 95961\n45706 86256\n452 88446\n72972 88539\n62995 88814\n28619 57367\n33918 91086\n18754 29056\n6538 11089\n54114 60964\n6121 8612\n64030 91072\n12419 95160\n19998 84917\n2403 9727\n67247 68272\n26754 78554\n9046 49248\n14602 81070\n65561 85318\n52660 83925\n44 61775\n64262 64300\n65782 95056\n22621 59571\n61607 64087\n159 51215\n13297 95778\n50081 82841\n41462 65461\n21188 61439\n25915 65202\n55514 73331\n62250 65228\n17161 31455\n26616 50458\n27039 72488\n22383 90328\n41544 42657\n7779 72559\n5846 91201\n5126 26076\n7281 7555\n20009 80450\n27633 89222\n8769 67462\n30565 89704\n13213 32672\n18692 71339\n16928 78763\n30451 86343\n25398 32006\n96548 96780\n79167 97274\n79726 84709\n26428 78523\n15527 73547\n28544 34992\n8672 74664\n19395 36065\n78339 79743\n66029 82485\n60167 88687\n26085 48225\n51923 76958\n64338 78414\n4663 16408\n33188 76615\n26297 61516\n45692 80258\n42812 79858\n35223 57110\n73525 95249\n10770 80497\n57328 94530\n5631 46027\n1921 28142\n50726 98726\n6949 48717\n71968 88518\n38880 42652\n38814 97024\n57376 64702\n53836 98871\n79135 83452\n78514 91727\n69985 87287\n87742 90925\n13969 52252\n25144 79157\n22371 93885\n75770 81244\n18094 21497\n21068 33101\n54560 64486\n15240 86779\n43578 90168\n83264 83816\n15619 96185\n22926 98509\n39655 95121\n44939 72734\n57598 76608\n13404 47735\n28073 95699\n18897 75840\n23594 58392\n63873 75572\n9092 29634\n35825 45854\n52064 57831\n32032 79747\n22381 79380\n47976 82301\n26165 88167\n24517 45997\n56656 78187\n77291 89301\n12567 47769\n73468 77194\n47699 96937\n2142 44439\n41403 70822\n9436 10196\n10880 28466\n52666 59049\n56124 73030\n20359 71243\n44380 97001\n37039 40187\n87047 88460\n2165 65547\n122 43552\n20495 20674\n20698 98199\n21178 42751\n41387 68516\n3592 35154\n54382 70061\n82106 94638\n42397 59516\n4970 71586\n66091 98216\n16781 38071\n15973 35328\n32463 35069\n52634 79924\n10362 84859\n22915 89593\n14799 72013\n10707 72665\n7779 99552\n23136 41365\n28372 63606\n5231 94922\n86260 95788\n6171 29759\n12158 47368\n65154 67176\n59324 64613\n31327 79174\n41162 47213\n22296 81054\n12300 54522\n26174 75491\n37250 97858\n9705 49504\n8126 50834\n48300 55156\n37761 63963\n12705 69638\n78734 94760\n12589 91368\n29975 48220\n33393 74426\n43267 85984\n75053 98107\n46127 71566\n24555 50661\n49125 72579\n23114 72642\n7140 18913\n27726 66081\n25680 34080\n23448 37099\n25643 73860\n69146 94877\n7050 43943\n23742 47806\n27864 96579\n14013 97714\n54075 94575\n3406 23654\n9427 27854\n17874 38681\n52256 64046\n49539 53704\n39053 83432\n44989 46856\n12746 91531\n29010 31249\n1668 39705\n39308 56956\n35953 70190\n26475 60640\n17780 97879\n7485 8653\n26114 59074\n11977 94445\n32122 71950\n49092 84757\n30736 64351\n14852 74436\n1156 97594\n62415 91465\n45022 53858\n63211 75327\n31547 31834\n34724 73160\n23609 99926\n41750 79608\n17168 60723\n76756 85919\n1944 77687\n38081 61551\n7577 65258\n22870 34602\n18635 98848\n73624 74943\n43201 89051\n26741 80320\n44845 53356\n13524 61792\n48265 69360\n21899 90920\n64441 87432\n66302 74701\n44273 98133\n20668 69501\n43999 75697\n51815 95556\n75239 93683\n38924 70346\n10557 58451\n11379 15168\n63574 98935\n32022 34720\n24075 84747\n85667 88669\n17975 19880\n63560 97533\n14584 48152\n7629 56909\n59346 67583\n31508 55686\n22777 96271\n18441 61435\n39647 82871\n25170 84113\n40115 74389\n49080 99410\n898 21286\n9566 38116\n64938 83267\n42405 97896\n14804 56884\n6825 54957\n32653 54275\n40896 76246\n42709 50661\n8837 9961\n9636 44821\n23015 96631\n68262 81205\n24000 79314\n56568 75189\n7182 70591\n83933 85391\n12206 89076\n23562 30490\n29927 50521\n38848 50317\n21349 55372\n52893 69556\n30012 65348\n41763 73409\n5 92525\n27321 49219\n49419 72279\n7710 26098\n56023 69982\n17726 80046\n36204 48498\n34057 61467\n44964 95028\n14045 65844\n63823 64550\n25487 40321\n1619 35325\n56516 70303\n4228 92952\n32276 88902\n28587 71425\n81355 91880\n2796 99049\n26698 77615\n28266 32934\n1058 72956\n48344 50523\n16775 73323\n1107 73084\n1858 2052\n58684 59398\n31019 95771\n33061 41952\n49122 81468\n15645 68619\n21855 71527\n45631 46866\n22045 35302\n59814 96787\n31635 61726\n78655 96512\n93957 97243\n56009 82797\n21285 76267\n54749 75288\n46004 94056\n96784 97048\n72648 86199\n63799 90954\n69059 70555\n22149 28375\n55090 72046\n78919 88251\n15818 54019\n27302 98168\n88166 89037\n19139 70330\n3465 68015\n20369 51884\n25170 40404\n60923 63860\n7184 99530\n373 32425\n13323 33613\n11278 33932\n25335 57459\n20118 48890\n46901 49351\n36120 68345\n50061 88994\n29345 78234\n40312 60924\n49998 72935\n47149 85222\n28906 40884\n21730 57221\n4283 64470\n26650 64202\n88169 96047\n18334 40059\n4976 67831\n37630 44741\n26288 84705\n12834 62926\n23944 70185\n78999 88931\n37386 56202\n26320 84101\n46361 79303\n65301 75893\n634 9640\n47893 57198\n21645 72815\n584 71153\n23900 73414\n52953 65151\n83329 86030\n10277 46282\n47384 67389\n14849 20392\n48554 61592\n35848 65528\n57829 75943\n13037 41917\n63434 97789\n44106 57523\n31280 51606\n35252 55624\n68936 82330\n40170 55712\n3711 58424\n8590 55344\n64324 75023\n63939 82244\n51282 64138\n58559 93632\n24397 96867\n94578 94841\n39940 57046\n8421 72575\n53486 68002\n85510 97153\n47947 98062\n59528 71670\n28583 58710\n22788 64264\n43726 86380\n15604 99115\n103 32106\n38925 96547\n41802 79611\n6936 96056\n803 48450\n1606 28577\n77068 88882\n2682 4179\n25354 28466\n66593 75865\n71133 72970\n3170 59498\n71670 90945\n37096 70903\n6480 59612\n57315 63249\n13854 54813\n16233 51103\n54051 57972\n19745 30530\n19779 54403\n11667 60874\n47881 65697\n32138 34110\n1550 61251\n11589 53624\n85302 93595\n18067 57350\n3270 40137\n60307 90715\n4168 18802\n10208 94210\n9733 58673\n25831 99791\n2848 14786\n42824 72209\n6085 43549\n86812 97627\n45290 54040\n22816 44005\n48852 58803\n12441 26620\n32358 72402\n14979 80572\n65577 67380\n69782 96165\n10529 32785\n9906 13443\n32849 33576\n2241 52408\n49001 94661\n27948 35661\n13024 65054\n37370 38469\n16349 49636\n68465 69489\n3126 48964\n6018 44410\n32646 53127\n48340 77496\n26580 32545\n52006 85423\n30061 50640\n69375 95148\n46392 73535\n17553 22555\n67091 71806\n17764 93185\n51752 61766\n53480 87864\n29764 69131\n20410 49815\n54518 75933\n48453 86390\n60004 61291\n39300 44041\n73026 79464\n21702 73038\n26319 53869\n35751 89252\n13266 71333\n11718 72573\n37619 66408\n3272 19397\n65484 72483\n49045 51609\n682 63621\n53183 78417\n59753 62636\n62035 68751\n71881 94497\n19365 55833\n51810 72626\n32989 47582\n21214 85925\n47445 74623\n40309 47059\n23457 45870\n44389 87186\n3192 33150\n51043 90234\n39684 89505\n35733 53277\n44804 45490\n5347 21243\n23286 32200\n79223 79393\n35842 73474\n715 73937\n14151 18945\n3533 60224\n2303 33278\n30736 31562\n20960 54412\n85807 90234\n23516 46164\n29175 62928\n60465 91312\n38284 88273\n60662 95454\n43896 72612\n22109 56188\n47928 63717\n64876 96045\n56075 91739\n17935 98672\n7401 35764\n1849 88829\n4735 96746\n17336 67827\n2586 80362\n8958 49589\n10711 33926\n45145 45173\n59642 72829\n11904 59918\n24888 88265\n27711 49206\n66083 67365\n22680 40726\n29471 45655\n8127 47652\n36150 42025\n48136 67482\n46830 75448\n61869 65485\n43423 53032\n53221 74137\n1908 38899\n76363 90464\n44911 63531\n46354 90839\n23269 54864\n46452 61768\n61155 77308\n66235 90984\n26448 53073\n16663 80183\n11985 31993\n44019 63098\n14360 76683\n30212 34494\n27479 59128\n60341 65600\n15710 30220\n28424 48339\n28500 83130\n12211 39491\n18362 24966\n6151 38834\n10740 34174\n37721 64984\n2134 43930\n28735 91875\n10319 88875\n38510 53021\n52211 90253\n45577 90908\n93921 97974\n61913 79564\n25221 34255\n54400 74220\n43838 65024\n2084 89445\n45275 56955\n14362 92845\n36719 55332\n70184 71266\n34624 41012\n22337 74192\n45248 54476\n52398 59293\n43055 61720\n11026 32860\n4574 78713\n24661 52403\n7702 20431\n26669 48110\n10065 63312\n12817 60960\n56916 96699\n9664 48926\n34700 70875\n20677 52720\n8244 39914\n2808 23938\n7212 97435\n29365 77531\n7082 43046\n37416 57443\n57357 72880\n14329 80158\n45727 52858\n83352 89440\n59546 71199\n65008 87351\n15464 61118\n13743 34546\n11628 12945\n84680 94239\n53375 85123\n72259 92454\n18695 95227\n56170 57260\n35318 62386\n48231 57601\n56351 66818\n24250 52947\n10477 91914\n9220 72380\n7033 51965\n15379 70007\n34457 94500\n19814 82708\n15225 64770\n20311 48346\n10441 11307\n21877 79809\n9822 57732\n68117 89194\n95520 96184\n28548 34183\n5242 30277\n23854 65646\n5284 44413\n29575 93788\n13121 65878\n78914 95045\n53063 64702\n41545 48720\n4264 92514\n36707 53346\n12886 99729\n11091 62425\n22123 54190\n68085 78164\n54811 99639\n13039 44601\n67382 72847\n23301 31484\n51093 86753\n43516 81594\n71891 78760\n93106 95759\n61475 88069\n4799 64791\n43718 92754\n15940 73839\n21687 42507\n69727 80109\n4875 75331\n26347 64585\n34874 66054\n48622 98330\n29118 67493\n72091 91423\n11655 61281\n86494 95277\n33477 47634\n755 56650\n33746 35352\n1013 11181\n28070 28828\n29982 43670\n28529 36851\n2148 63739\n8495 20272\n16166 26261\n42679 47545\n35896 67008\n37492 40873\n75216 97687\n34643 77311\n11894 97077\n68129 76873\n33935 64429\n1554 56989\n9243 48795\n11541 88457\n10149 81781\n23422 37434\n46762 72475\n40602 76150\n42472 64311\n590 35298\n61162 75239\n679 45856\n60063 68087\n30437 32495\n24084 44801\n28467 84440\n26537 89235\n30820 59730\n27244 78838\n3528 16160\n40907 45981\n10487 37602\n9956 35722\n12052 37038\n3915 92239\n63364 88578\n21723 23322\n56958 88556\n48838 86363\n24739 29306\n81904 92629\n31585 67503\n68702 90788\n49238 73954\n2174 29852\n40196 60267\n60896 71974\n80088 94138\n21744 47728\n22132 83319\n7729 97199\n18080 46902\n93064 97601\n41803 92278\n10629 17820\n4445 39729\n15130 43213\n56375 92142\n44500 48467\n24531 68882\n8483 73539\n7468 54708\n14561 36042\n50332 57797\n69536 81309\n43031 90979\n12172 13603\n2880 99394\n66731 68937\n94432 97241\n3279 21818\n69001 98361\n52300 98332\n45241 64352\n77836 85807\n6871 40489\n8206 25645\n960 31642\n16515 41219\n25287 76984\n58480 80028\n52089 96613\n61839 81103\n10281 64672\n37718 96995\n10860 85597\n13123 74867\n61889 78948\n4178 86763\n57817 91598\n55328 95420\n70575 85711\n10700 52946\n7117 17156\n423 93263\n28124 42721\n16730 45299\n36383 96758\n26622 45556\n13131 99139\n23152 26893\n41564 48731\n23602 88368\n1903 11471\n9907 69259\n40984 83706\n59248 70628\n76438 93937\n79626 96280\n16109 67027\n52229 63797\n49812 87975\n19381 83177\n1848 22890\n27603 58224\n68423 72604\n22425 49766\n55310 75702\n53400 65358\n30946 88271\n17185 40070\n69653 98045\n62801 79818\n27308 33778\n44976 67146\n46922 89975\n17108 99672\n63650 88732\n5350 17898\n3064 95623\n71311 95587\n21672 44793\n11343 37339\n6859 68040\n20512 56484\n3652 56073\n18439 44732\n298 68688\n9985 60119\n39474 82104\n11271 72096\n41407 98039\n32649 44771\n61121 73409\n9312 37618\n40050 51150\n2186 66438\n69577 91416\n21414 33379\n18777 36888\n27957 50239\n18015 20850\n6181 48044\n34125 39026\n12937 22102\n67823 82718\n18939 34815\n46014 60355\n63607 66142\n10083 26251\n64945 93473\n8649 80360\n47054 73292\n38255 62606\n56283 62672\n13078 49943\n16728 45203\n27115 28943\n28851 70466\n39325 98387\n28094 34988\n29428 47737\n69297 90249\n24683 85302\n4028 90406\n66885 75047\n64020 76082\n57732 66553\n16435 18440\n3373 80789\n26555 99700\n2137 52728\n69729 99857\n55714 73837\n55923 86253\n5843 86829\n7756 62724\n60527 74511\n42584 66120\n16791 73225\n58704 69134\n30844 38186\n36570 96325\n44716 75689\n27922 61249\n79459 98244\n600 20185\n60115 98955\n44376 97742\n13048 72279\n33615 98060\n11487 84892\n11690 19072\n5740 72369\n18238 95256\n10373 39767\n87381 92760\n51858 57442\n11889 49215\n26954 57964\n66302 70332\n73293 73394\n36547 49375\n48633 92604\n4957 70782\n13178 14309\n26101 67828\n17413 58776\n39943 73160\n4684 17302\n26155 46345\n35343 64038\n20838 69510\n36098 66393\n8395 75051\n6848 86921\n8149 67434\n36819 75325\n21834 77534\n36693 71155\n22608 62942\n37046 94208\n34486 69794\n1837 44069\n80633 82380\n30010 83689\n60779 98631\n34807 58654\n27722 74835\n18344 35307\n877 48258\n23184 83455\n56061 98898\n15355 60714\n77040 78490\n12299 18653\n36022 78210\n38665 59747\n56910 72951\n69602 95754\n30460 98457\n32465 94608\n4240 21191\n35888 66298\n14399 61750\n31099 47420\n23482 78836\n36005 71675\n15725 49542\n48814 94085\n22601 43932\n24901 31235\n53738 74691\n16683 92619\n34808 82926\n6329 53079\n30470 48549\n1915 46432\n48598 75808\n52554 78606\n70262 89404\n54080 91667\n21432 96415\n44116 88857\n87119 97472\n24793 94876\n41851 44906\n41881 76701\n40244 97698\n33990 85563\n36536 54168\n49024 55660\n6654 32217\n48649 65121\n12565 26970\n718 83760\n71779 82324\n88658 90628\n37251 60032\n12145 96875\n1872 67838\n9081 35922\n61279 85896\n16896 63485\n636 23787\n65940 77274\n60955 97088\n12029 94012\n85949 86408\n12758 62670\n33226 70159\n12063 47887\n5831 76058\n34639 87683\n57857 73872\n21111 91114\n6008 49829\n11621 62322\n78617 83536\n77760 82239\n70466 99940\n4744 79153\n26454 57448\n74049 80907\n2419 10800\n37647 46763\n8264 97633\n20524 67158\n15122 39820\n9274 62467\n11525 23989\n2645 37417\n70667 91355\n56410 76623\n6248 61415\n62467 62588\n79157 92633\n9615 94587\n27479 53088\n30457 61163\n78823 89109\n63655 67311\n42065 77600\n25996 64967\n4239 71256\n39916 96551\n27585 58826\n15032 67994\n46981 96740\n34184 48242\n41948 48736\n13279 57458\n72503 88964\n65296 68578\n79964 96837\n36944 89851\n32314 35324\n39559 55335\n75127 78197\n55809 77207\n30404 96180\n16837 72153\n26456 92323\n3072 32287\n75777 78722\n13295 67074\n51959 80424\n37658 66827\n36355 44942\n4150 54567\n64743 88665\n536 70622\n40155 76418\n6504 22749\n4923 86120\n16016 88424\n28875 84573\n35893 60469\n21658 76732\n32395 53296\n1165 26109\n42214 69184\n3254 97864\n35340 88431\n12124 22816\n91705 92244\n21845 57191\n10555 57256\n35724 44602\n53331 72214\n52682 99525\n20252 87757\n8964 54268\n30100 83741\n50345 73509\n8072 28709\n63163 94426\n31458 73752\n26717 83058\n6821 40353\n18910 34690\n42850 46874\n40630 54218\n16432 69786\n29773 51607\n22645 29065\n46019 94849\n44751 69691\n488 94352\n44916 73966\n33665 96210\n17413 48895\n62758 66185\n51335 55332\n41822 56006\n17349 42742\n6905 71815\n3452 68893\n62554 66519\n2901 31716\n40192 51579\n39176 40601\n16257 93957\n14794 71391\n79763 82526\n27555 77807\n31018 46130\n46865 65974\n45045 51406\n2532 45189\n49474 61601\n10854 57520\n31222 80485\n1723 20746\n44667 80879\n45161 94168\n10882 81122\n45240 61088\n27331 81476\n47848 68933\n15626 33035\n38642 54139\n10531 12037\n39099 61189\n40937 69529\n19403 75508\n10802 62356\n61678 81601\n37865 82175\n2967 75009\n73906 82382\n46306 75988\n30389 60557\n23411 92729\n84002 97852\n27501 49003\n7011 40390\n35981 51563\n80436 86036\n49024 72507\n9911 93785\n53045 82410\n37518 75096\n13418 35272\n9958 39421\n58579 82078\n32152 58631\n26239 69917\n2392 99913\n18544 64964\n13806 86928\n90924 92558\n53581 55572\n3588 47527\n6139 87445\n35811 86400\n58508 70865\n16292 40691\n27819 97034\n10910 94449\n17674 35415\n70582 90739\n5112 14666\n26479 79246\n46251 85425\n46889 84498\n95977 96677\n12515 53147\n34070 52323\n11199 97227\n11832 52367\n8688 54413\n25702 30781\n6550 58927\n64521 65185\n14890 46595\n96791 98106\n23253 65071\n81114 95266\n33898 61387\n16303 53806\n17559 21625\n40165 79123\n60920 88964\n41054 95058\n10372 50550\n29789 80749\n13888 26935\n30116 49413\n66593 76255\n54541 61190\n333 84290\n14308 53884\n41343 82464\n11180 46015\n6068 76875\n44747 74589\n59993 66911\n6919 72656\n12881 34484\n43327 79493\n4521 31493\n61310 69586\n80947 95554\n10846 52640\n4585 42843\n12394 93422\n72663 88147\n54704 56282\n44753 72297\n23538 29992\n4287 83942\n13404 71623\n6280 75447\n19911 47227\n76755 93138\n65790 96883\n32725 97990\n46167 70009\n13160 61379\n19144 45802\n39712 72111\n19632 63182\n3603 7137\n29865 46894\n52540 52863\n82976 84056\n50635 72118\n88762 96900\n14028 88566\n30123 45939\n26650 64720\n58655 96611\n40916 76675\n12098 61691\n59448 99046\n45713 48661\n28614 67648\n65501 76120\n17131 93550\n495 50940\n35224 52958\n36045 72254\n61130 77939\n29970 30955\n769 31651\n5772 9706\n41945 52911\n29148 40221\n69604 80168\n3087 25046\n76231 97778\n49839 94945\n37727 58237\n7129 21550\n37634 78455\n8615 93174\n22311 24632\n24153 72158\n63359 73229\n50864 96780\n37418 50845\n26218 60757\n20803 72475\n47689 89298\n44811 92383\n3207 83371\n14905 42236\n50334 66100\n49279 80734\n23128 38255\n10339 69618\n14462 67895\n66593 97369\n13768 54638\n11189 78875\n9044 84458\n5134 36657\n11445 60460\n58128 67214\n71960 96156\n38475 92420\n46030 50802\n79245 83191\n42948 50553\n14185 47593\n4319 53749\n61670 88571\n12233 55073\n74522 89460\n48646 58810\n5986 65304\n41809 76327\n19113 80509\n68861 98296\n18109 38331\n23012 35482\n54302 94039\n12031 94417\n5093 85290\n38463 91156\n53622 85262\n23062 42541\n37024 70305\n7092 64676\n9944 91736\n33891 38577\n46430 54806\n67630 71262\n28496 81327\n11186 55443\n4014 16667\n20247 78904\n27567 51669\n24857 43969\n15000 66625\n18017 49273\n26767 86821\n52453 65310\n5411 55779\n2943 46193\n46195 57404\n2958 37555\n9652 84050\n22295 50602\n23512 43193\n27776 46175\n48228 75503\n38034 82101\n38519 95061\n938 26218\n48264 80778\n55688 93473\n31345 56283\n32478 54913\n37907 81400\n69123 100000\n28865 93884\n34562 50820\n62385 74462\n15461 99568\n38437 77003\n13025 58845\n50958 73355\n19850 42228\n9171 35985\n53221 85275\n7607 36478\n75941 80190\n13912 91845\n50781 98438\n15639 28251\n30326 74037\n32613 83949\n69563 73170\n28715 94513\n1929 36097\n55308 67316\n86745 87782\n72566 97541\n32204 88811\n1979 64050\n40032 90724\n36115 53401\n18235 58205\n16146 89259\n77427 93634\n9870 83217\n25256 78037\n14878 27909\n16764 70417\n35813 53999\n75937 81590\n38886 89149\n10791 95394\n17631 93762\n45543 47329\n72360 91735\n30753 75306\n27 82111\n29990 62178\n3309 42547\n31950 33129\n48746 52876\n55662 68214\n29059 73749\n19103 19716\n24126 69951\n23020 66879\n82729 83198\n80474 83601\n22867 94798\n21861 91887\n20178 33544\n52305 56317\n967 96619\n42661 47156\n67550 76266\n31940 84101\n51717 59007\n12853 42910\n35468 94718\n8865 26090\n74580 87391\n52812 89218\n7042 65543\n19108 79199\n13095 62437\n84549 90109\n13650 53040\n52576 93049\n66346 97424\n62200 97272\n8956 96638\n6409 81977\n67689 87841\n36805 55279\n28342 60963\n13442 23879\n50252 83337\n8072 84858\n53269 66839\n15294 22606\n51769 64474\n5343 52990\n7882 33827\n76095 86205\n31653 97598\n24319 66157\n53823 56519\n52630 77276\n30831 31670\n23887 46423\n9764 64176\n30377 76693\n17922 67797\n43153 72600\n6550 24953\n35360 64333\n60506 79102\n17823 34106\n48507 97297\n56034 56675\n56168 89366\n3338 17726\n14079 44328\n24872 64063\n4941 34213\n12102 67146\n30230 98557\n16995 73282\n61241 76749\n21676 81577\n35973 36912\n51445 77278\n38657 81378\n6892 46025\n26123 45003\n77010 93354\n63602 99465\n6109 43984\n33966 92217\n208 71989\n92323 97744\n3132 48097\n3399 91559\n12987 60141\n6898 96494\n1702 43943\n18407 57411\n21548 48545\n37277 51431\n9302 56146\n11441 46531\n13031 99131\n5491 72725\n24511 65973\n3413 99672\n13047 27113\n45988 76807\n1321 46658\n15355 30312\n36691 69070\n53276 92636\n16943 23389\n74694 75183\n33053 98882\n68630 91749\n12834 91587\n58204 62320\n60843 81852\n20095 22295\n52906 92071\n14449 83329\n49916 64880\n10956 42551\n30107 83924\n1054 94758\n46984 90564\n22864 35822\n5008 22340\n52701 93891\n1103 17314\n59947 66927\n30160 92479\n4557 48804\n5654 46214\n291 6513\n78425 98094\n20253 69376\n68283 74672\n25496 88208\n23318 38362\n21630 42545\n39340 55512\n19057 35552\n54443 66561\n15927 75065\n17552 86826\n873 38053\n45925 55530\n869 8206\n33160 69146\n24115 27000\n28837 92756\n33803 92584\n5667 41800\n10479 56245\n72014 93695\n3160 66632\n1407 65715\n20838 98389\n55852 64114\n26821 38866\n2424 15164\n1322 80450\n71405 87468\n66868 79762\n49068 80554\n14217 79560\n575 6711\n70578 77669\n50264 62833\n12819 96287\n80471 85289\n41426 84116\n36331 37787\n9674 73631\n17367 83635\n27897 32326\n10389 69345\n3170 68435\n74418 98688\n69966 87403\n94744 98032\n76847 87835\n5759 37924\n31274 35175\n30095 39983\n15254 51767\n7143 30672\n72648 82692\n46545 66291\n85980 94218\n37104 90722\n45117 99405\n12093 97283\n21202 28189\n70583 92621\n40197 97058\n51092 52128\n173 80884\n50942 91751\n45860 93610\n12106 97148\n42021 88106\n34394 84383\n4094 30268\n16392 65625\n920 95116\n5128 7823\n3527 23320\n5233 35449\n60500 74982\n17821 29414\n65675 72192\n4723 47795\n497 13782\n20017 60684\n87374 90328\n52335 65583\n39859 67119\n83594 95884\n8298 22329\n61956 99018\n17046 87009\n56171 90767\n33533 89012\n49388 86052\n6886 7454\n39451 77741\n90501 97333\n34034 36337\n6761 78261\n35665 62852\n9003 98053\n17482 95585\n52712 62464\n58241 96992\n18068 66602\n25064 84388\n68364 85935\n26347 27196\n47521 93161\n23711 72136\n12911 88215\n16212 59571\n1405 65856\n13706 34759\n19918 94454\n54945 85108\n10526 67230\n13094 85475\n74631 92291\n18968 92693\n46895 79246\n43883 49871\n63518 76853\n46876 70012\n49763 91573\n70008 74885\n9763 86481\n3594 9112\n22870 53844\n86430 95873\n31851 50542\n36680 57471\n27115 50505\n1535 20973\n28111 40162\n78464 84984\n341 41126\n60922 87548\n19368 24977\n28774 45784\n1913 34144\n73413 84654\n14848 28118\n14673 61304\n297 11227\n16109 73880\n44066 74616\n50052 74884\n43480 66196\n1654 37695\n17724 87933\n1975 28120\n44632 76860\n30937 87993\n15859 88711\n24939 66286\n78919 89754\n63114 74455\n53746 88325\n13698 77360\n1558 14118\n34939 57044\n6029 51739\n29743 62123\n72793 81682\n30514 63106\n44448 76787\n47814 55050\n80271 93392\n5075 22425\n8859 54952\n983 15899\n12294 42969\n5713 89521\n53808 91351\n5427 18051\n2456 80923\n31402 51480\n15776 63843\n50700 83879\n26268 58314\n68070 88849\n3049 99209\n16471 34374\n71245 94343\n36490 53626\n57261 85663\n11767 47956\n14494 20643\n23382 69861\n73069 87996\n80277 95455\n4840 11189\n25072 98243\n32916 38440\n58415 74157\n5649 79949\n7463 33944\n48263 60503\n47117 47612\n26961 96999\n61880 78960\n12136 58354\n46818 61282\n68133 99522\n46166 61371\n9315 13162\n34723 49828\n4284 98463\n20914 40506\n23194 90133\n30968 55723\n1391 48009\n12501 91316\n11656 35183\n21560 67807\n19072 76665\n12889 15195\n54360 96733\n68778 93129\n5414 78069\n126 68649\n5117 14451\n11166 72261\n23528 28654\n246 39914\n10304 58983\n45569 70615\n14346 60748\n33584 79846\n63021 98038\n27400 80621\n53352 55423\n17899 24661\n33137 37530\n9253 73409\n69058 80285\n42277 67300\n19974 85056\n77983 93038\n39817 71755\n52437 69540\n82465 92437\n30202 47882\n140 87149\n78209 79681\n58559 91523\n59369 95862\n7741 46266\n32038 40864\n8777 39013\n40026 89892\n28620 56665\n14027 56762\n6035 61041\n34054 40838\n6980 64586\n10531 60612\n35317 60445\n38440 93223\n51152 76204\n23357 24316\n48820 54584\n29749 87998\n42419 62092\n15676 30862\n35670 49686\n28599 85893\n76461 87474\n12929 66971\n18019 49291\n28365 88798\n16906 29840\n8821 45337\n12205 49463\n68600 79273\n23619 39368\n625 86084\n43532 78839\n31543 67243\n21612 62158\n48818 50666\n37015 72711\n30936 85837\n22040 54325\n52636 54934\n18847 25917\n43359 81075\n76675 82172\n61136 87778\n18635 91356\n6 10637\n3359 10615\n75046 76299\n23459 57651\n533 65702\n22486 94340\n13131 62086\n76095 77398\n26608 99624\n75312 99628\n22425 59207\n15061 78361\n51956 78093\n9424 68891\n28325 71383\n35666 60147\n4350 6030\n32883 91073\n22008 51404\n1676 6069\n31248 53040\n70888 82220\n20714 89415\n7461 16161\n4578 31347\n45111 98900\n32360 53138\n230 46646\n62268 92619\n48803 49794\n62001 66360\n25658 68905\n36995 57859\n55667 75151\n8974 89535\n51677 66191\n8023 92454\n14465 71791\n24621 54573\n54103 77025\n10603 73930\n9144 44036\n14711 64546\n117 2538\n65890 95556\n48844 76824\n1430 53879\n7356 98249\n24981 38927\n38166 42334\n56001 91912\n15546 87968\n31969 38462\n1811 57492\n22518 45190\n7594 40217\n79262 81634\n22587 60258\n25097 78973\n26493 73522\n32603 51930\n68402 69688\n2657 57660\n15030 33841\n90200 94014\n17622 46443\n70862 73324\n46361 80934\n20827 98302\n43678 79532\n9047 25239\n2555 12075\n11207 26731\n75700 87409\n16022 22635\n60037 70625\n47968 84712\n81984 87815\n15694 87131\n41117 58305\n53346 57361\n1143 69902\n27643 48514\n21320 27619\n48251 70337\n5213 74841\n29226 71217\n45683 97780\n42064 57703\n60663 93120\n18772 94430\n17305 21372\n15755 40724\n3730 60156\n38346 39608\n69072 94318\n15680 43405\n91358 93421\n43841 96877\n4922 66589\n32914 33216\n22215 70559\n33967 92654\n27119 44259\n54543 77594\n34599 35299\n44919 49646\n3919 83292\n7532 58040\n3149 78024\n16421 72532\n71110 89038\n16824 86144\n69492 98247\n46748 95096\n20399 81185\n12173 97751\n22176 85257\n80490 93697\n23317 55201\n2142 83122\n75714 91776\n68385 98979\n26223 82108\n30082 70010\n58911 83900\n4192 86077\n951 8686\n68055 91648\n58889 80920\n35937 69619\n4892 63016\n15797 37049\n48926 60637\n12738 21734\n5031 21464\n21316 78565\n2465 90572\n55348 91930\n86250 86817\n83081 90622\n43232 65792\n45560 78234\n34647 65799\n63153 76377\n51202 69261\n34006 42087\n1656 87416\n27099 76777\n60155 80054\n42921 86901\n2254 74450\n70373 74997\n19677 42404\n59891 75528\n16440 49889\n35207 60083\n77843 87014\n88687 95021\n8142 38766\n8220 34635\n69134 78725\n16797 26483\n2367 36421\n9221 23498\n27157 27428\n70700 73949\n15675 66647\n74233 75941\n77320 99485\n2271 7722\n43265 54322\n29863 71483\n10224 18586\n31718 87377\n45003 47857\n49215 49911\n23646 81331\n18178 64346\n43431 69089\n32858 43714\n7536 95125\n61174 88438\n5577 82692\n16547 43160\n87410 91915\n20795 61694\n8310 89180\n51974 90475\n40506 44226\n39359 46420\n6070 93639\n34511 58727\n39255 55993\n1206 41117\n29324 45876\n4963 80457\n42316 78749\n46907 49633\n16735 95737\n2860 62203\n21489 82002\n14241 68361\n72007 84214\n56769 79374\n71395 90187\n12068 92449\n606 35713\n7409 32316\n40937 63465\n38526 85805\n4060 69345\n20833 35248\n37304 59938\n2534 34620\n14931 27460\n3314 29230\n19010 28794\n26642 87542\n31762 43662\n1374 63715\n45081 65309\n39260 86313\n11816 85653\n6714 63224\n33859 96571\n20971 70052\n2187 97044\n1686 97234\n48209 50304\n67459 83020\n1485 65416\n55291 55489\n20935 75675\n41794 73878\n13587 35519\n73332 94213\n33954 88489\n62270 77137\n42607 89165\n46633 46908\n14661 93738\n22600 99789\n15832 61667\n43872 77871\n31354 39583\n34140 79741\n22604 99360\n15464 33924\n2491 12488\n36135 85357\n34982 40007\n28822 43272\n40684 67660\n66911 83499\n49619 59725\n2875 59795\n33173 33766\n96 29922\n32400 87256\n37403 59820\n5394 88621\n23141 69472\n58896 74034\n47635 74326\n73392 84403\n1589 9289\n25162 85493\n82907 92432\n18799 88912\n7911 11129\n19959 73696\n67706 81780\n32308 57239\n58494 84107\n88444 97983\n81327 96062\n6085 98123\n40124 77317\n185 63495\n5278 63753\n29726 78533\n14114 70797\n14414 67108\n46434 85166\n56729 61760\n28281 70480\n11455 16315\n585 39071\n24886 40835\n15362 55971\n36255 50532\n9833 50517\n44061 73440\n40750 59676\n3343 92001\n28875 91629\n72646 80907\n7201 61250\n26878 36625\n51038 59304\n53558 88921\n15121 83679\n13738 69217\n11415 53513\n26660 54468\n7830 9653\n28494 31326\n24383 70974\n3262 51309\n18978 34596\n17604 69733\n36041 45358\n52586 98173\n5477 27675\n60183 80457\n55522 87163\n44146 92302\n42766 51446\n48536 90582\n50055 55032\n80076 94221\n71126 78726\n73683 85332\n64211 89440\n2183 66100\n29937 65173\n50306 89097\n34624 76557\n41805 52354\n79541 84031\n53985 70652\n59142 87753\n53728 89226\n46309 88951\n22022 56731\n51138 89619\n59975 95347\n23272 86323\n40361 46584\n25519 69819\n12502 29651\n44941 70276\n65621 91144\n45002 66560\n80256 81099\n2230 94761\n64328 95133\n22064 62404\n66713 73167\n3577 46877\n67591 73608\n9461 51622\n58253 74320\n4444 98078\n30089 66099\n20184 61113\n69904 76139\n43742 54088\n1236 62233\n17472 54833\n46494 66933\n74399 79851\n78148 90396\n68024 78823\n45902 77689\n73470 82787\n20308 71037\n1359 32708\n5226 76710\n25163 39390\n75400 77136\n45420 83731\n36305 46497\n61017 75245\n6236 28093\n21374 38691\n44316 61200\n33163 58354\n8906 50623\n41950 63589\n5107 14717\n69114 80940\n31058 59814\n9972 94729\n9454 95377\n10538 66302\n3634 33055\n50807 63032\n10207 14783\n25272 83224\n8123 17591\n69602 88471\n35855 62864\n52845 79805\n6024 8264\n24762 76108\n83190 90483\n96989 99578\n28208 75703\n10549 52497\n7225 11334\n4765 86873\n73175 73849\n5366 24512\n34641 52760\n38892 99832\n5375 20000\n37810 76423\n71529 72836\n46128 49508\n31230 53481\n67645 97485\n17798 88759\n29833 79092\n15005 47799\n22177 47955\n24299 86582\n50804 96622\n18047 92009\n43360 55187\n64556 86621\n42163 71785\n52932 98504\n6374 29627\n69559 73667\n15530 41987\n56380 84356\n1458 66206\n56405 67246\n39342 90313\n96719 97854\n61918 96668\n20561 56438\n1854 17684\n4250 52089\n67250 85851\n69239 86322\n31893 69234\n10417 44520\n48233 63976\n23287 78302\n76150 77846\n83100 87856\n37851 50279\n11469 62539\n56998 88792\n66496 81847\n13032 51953\n60338 95342\n8842 57653\n22847 83094\n20653 65923\n25593 72928\n58905 97747\n24644 24647\n79056 97649\n63547 98071\n28486 76146\n82671 99910\n13164 57492\n24138 53970\n45681 73939\n1539 93918\n45813 67555\n13521 63707\n18323 54980\n32318 61220\n53822 82583\n78189 79299\n25526 79264\n41396 77768\n54495 67688\n2529 67271\n40729 50942\n22496 71442\n37641 99955\n21387 46375\n27630 87652\n15697 79148\n19774 85647\n16745 25996\n57760 90160\n28752 50509\n54589 90108\n28927 45530\n50636 88950\n10959 12207\n14713 91737\n31531 80000\n21044 58445\n17749 60357\n27331 32824\n17720 92745\n64984 72107\n28809 67211\n13951 76923\n95055 96351\n44881 58832\n69464 86396\n13449 24900\n68799 95315\n22678 72805\n48647 87175\n8674 45836\n22896 36215\n19749 48269\n41262 87851\n728 96561\n62385 73567\n9375 70593\n11418 68721\n19098 66821\n68214 69646\n21844 94654\n11020 99194\n13888 86646\n88258 92218\n1572 66088\n43520 84482\n60926 63837\n50644 63182\n34150 76707\n43235 77907\n42577 73425\n1242 66213\n5260 75342\n13028 58025\n56296 64156\n5993 94927\n59215 62121\n36191 48580\n45367 77706\n70981 78550\n46033 60988\n8600 18684\n29453 79525\n36429 50783\n48437 84784\n8773 44092\n25413 97006\n17537 90600\n1701 76956\n79356 96014\n2746 51999\n40396 87345\n37330 40895\n18425 20991\n9211 27401\n41357 54555\n4894 32972\n41214 52503\n17575 83071\n22773 85406\n19789 62403\n42149 47426\n15107 62888\n18504 79459\n23595 57914\n3851 79018\n56108 60491\n19860 34579\n89871 91396\n51009 70064\n75183 92627\n15069 58263\n28347 53146\n20467 42594\n4078 36742\n14118 45719\n55074 86269\n24085 34134\n7903 47891\n97979 99949\n85661 95864\n5393 40908\n3305 30925\n25608 95834\n10897 75147\n2712 87036\n13112 74384\n87797 88075\n42208 55494\n10242 60652\n3925 31341\n4199 50106\n9843 48078\n2782 75392\n6695 39936\n90990 93182\n8562 68283\n74422 86720\n7020 60107\n26006 39313\n6726 46555\n19477 66156\n24262 93082\n43373 59508\n50667 91056\n41467 90622\n44144 57268\n22410 70006\n17707 26413\n38796 45750\n19192 92037\n6162 85560\n44050 46400\n30733 83313\n48953 67401\n39337 78597\n11204 98635\n3640 71619\n28914 94337\n42118 43199\n24394 66685\n47464 61336\n21637 35171\n21267 77846\n53952 56058\n20911 23022\n106 73842\n60719 76817\n19191 41935\n21968 98285\n34453 83659\n64529 69837\n32768 94655\n65996 83886\n6692 39477\n5837 23295\n12121 96927\n60911 69705\n72384 76856\n11028 47741\n28365 32106\n48040 83854\n11568 91253\n26125 30875\n12756 43265\n37234 50824\n6722 92237\n59600 73320\n722 60668\n87873 98937\n60925 81556\n2380 84794\n28119 38421\n12264 29923\n25956 92818\n96255 97934\n60146 92219\n28357 88460\n39736 60142\n8035 47379\n37834 53526\n26879 98171\n56737 99809\n36298 40510\n51407 87865\n26460 75529\n92215 96299\n9736 79344\n16428 36542\n66540 82739\n6018 58985\n14607 94134\n45692 99236\n36672 94093\n28745 84370\n50596 85532\n55781 60580\n72855 93313\n2394 87216\n16128 20442\n36453 67786\n31502 48873\n43976 64884\n36803 58054\n2775 29817\n65849 78586\n66523 80450\n39700 63727\n21146 31892\n25080 45446\n20714 77896\n66078 71047\n65688 66851\n25022 42505\n69974 92629\n16412 23588\n64168 82046\n89862 95171\n2303 19949\n30265 79235\n41066 77713\n11082 13211\n52189 81014\n18537 21109\n34649 84259\n26703 54820\n6685 47347\n34782 97325\n18808 94167\n8179 14146\n24362 64185\n50716 86845\n55030 92478\n86684 87439\n17461 93256\n44107 82481\n7941 89187\n5663 14776\n31588 64018\n8754 54509\n35767 70172\n22651 33395\n28970 47988\n40869 66734\n11826 16155\n52701 66102\n64808 81582\n69857 94707\n31189 34420\n7152 97240\n12579 89203\n25720 35020\n49208 62259\n65095 91643\n4030 11724\n47461 48326\n39163 41559\n68287 83073\n4156 11731\n23281 81757\n42302 85840\n82929 86065\n72539 93087\n4718 65648\n9558 95446\n4910 52691\n10089 62680\n48202 50927\n8225 99175\n33465 61103\n29925 74302\n58875 90309\n31227 52441\n76111 83321\n76930 89734\n77772 82764\n46778 51548\n5474 33169\n47600 86124\n1163 48051\n11760 77043\n11455 14848\n12059 86653\n14786 21862\n49166 55948\n24965 53048\n41068 53705\n78324 98707\n11817 42081\n4669 95979\n70858 73861\n29464 91367\n44470 54038\n39884 49714\n34169 42324\n59508 65042\n4881 63037\n46243 61215\n3870 76068\n7550 83425\n42107 52662\n13739 99099\n8187 11709\n43590 63173\n52775 79015\n10532 87747\n88026 91087\n26715 85291\n30553 70117\n7891 98758\n13296 64061\n84968 98281\n32246 55444\n1858 51940\n28311 42084\n29826 34591\n16640 35628\n26187 41076\n9158 77053\n52373 61017\n39122 65894\n65635 89224\n15648 74624\n81866 97894\n16981 77878\n27201 65482\n33065 51130\n60262 97503\n32580 92184\n6761 88234\n27547 65612\n9093 16697\n3528 30154\n21031 80834\n49012 90715\n65816 71286\n5241 51067\n32103 90802\n22232 84113\n28591 69745\n13555 51011\n20869 90968\n57765 64347\n53224 79342\n72385 87093\n82035 98861\n17405 99877\n43680 57367\n40062 51319\n86207 94962\n61261 68063\n5586 16204\n22080 83217\n18130 69671\n32502 94455\n6918 44469\n17849 32247\n27659 87260\n11058 84323\n9230 63863\n52323 75704\n49940 95881\n35321 57122\n4177 83495\n15220 36160\n48819 51620\n90585 96755\n87511 97072\n26937 76459\n26970 78917\n19836 95629\n70643 99884\n30692 96576\n26626 49079\n69732 76839\n16840 86448\n17973 32156\n16994 27523\n32656 88644\n16917 58489\n10576 44058\n772 12010\n70862 93692\n33337 44761\n2694 5089\n28078 41872\n32935 96084\n493 77196\n21727 44106\n69546 98597\n7244 89062\n19268 36099\n71868 90595\n28995 64811\n50250 82109\n18586 92433\n18180 33201\n10415 76934\n62840 97668\n61573 86025\n21099 29068\n46311 81722\n6177 25720\n43111 49247\n33883 35099\n12004 16027\n33777 69833\n3490 50153\n95 14334\n68313 90572\n1603 7612\n26857 88844\n56741 86848\n10979 65409\n28587 67318\n49732 56477\n39083 66851\n24165 77639\n47834 58217\n41456 86387\n4264 76729\n59938 67277\n46660 92777\n52287 55846\n11237 41389\n9118 73606\n77557 94025\n12366 48622\n11019 54976\n43281 57126\n27743 70346\n42062 88596\n72696 79017\n13847 46428\n7914 91284\n37398 50938\n40641 68024\n19268 81315\n56552 68078\n21200 71112\n85285 91488\n49964 87441\n32 43934\n36329 99390\n4891 13798\n52857 65049\n24589 70465\n79558 99616\n62439 74663\n59594 97453\n10190 60597\n42019 49940\n23992 39597\n14729 72715\n193 7930\n4656 75031\n16831 75965\n32000 76014\n12312 59703\n19478 63497\n36063 56007\n24943 77242\n25785 47384\n31548 74299\n21053 55302\n79441 88695\n31297 60131\n40509 52122\n47136 88828\n2836 62046\n6848 88669\n41990 83119\n26657 38358\n5698 64907\n22581 95463\n55591 77540\n2521 4629\n37404 89990\n33525 63752\n54547 80500\n17244 66316\n34249 86519\n1007 99722\n24017 89641\n48141 66922\n55467 83210\n46841 51355\n63410 83309\n11518 97789\n6493 12938\n19948 43883\n8937 43667\n20830 59837\n31793 48920\n49910 81473\n24332 95487\n13889 30585\n19503 86115\n23662 92935\n882 26186\n19413 83169\n1977 77045\n23028 40282\n16472 58156\n2893 20105\n48116 58091\n22221 63656\n43311 44334\n7597 8802\n5239 23012\n28523 72041\n82734 93966\n31574 99421\n74880 90502\n12083 46061\n8514 93054\n34272 52645\n46089 71406\n19491 19538\n3814 36882\n80263 88533\n15645 61849\n8029 46610\n6668 78373\n88635 95234\n44149 86814\n4768 67582\n28878 90288\n49790 78922\n5794 37480\n769 24869\n49431 74208\n49879 60971\n29294 73859\n15615 86127\n6327 61428\n2562 45899\n5258 5707\n17070 21873\n33310 65370\n47174 79755\n34475 45487\n20519 29706\n11130 64436\n754 61793\n40315 82643\n79142 87033\n19065 78913\n21049 75420\n40611 43885\n49120 67796\n58434 88162\n18020 71387\n14066 25195\n67172 83164\n28154 76023\n30417 75302\n3284 18765\n55018 81285\n6184 47740\n12986 74037\n67246 85777\n34092 60482\n35764 38639\n12968 47117\n5873 35893\n51791 97016\n45989 62113\n43477 98387\n34449 88144\n52706 81842\n13361 77266\n38605 42106\n1373 61280\n30605 41677\n4930 44710\n58862 75460\n9667 83379\n40071 43201\n64004 68153\n89396 99577\n27738 38209\n24896 98218\n16096 79981\n8637 97879\n31296 54741\n3596 67631\n21239 31621\n3904 83504\n11133 61134\n39288 97961\n42562 99033\n53630 73907\n30321 80355\n24545 80675\n10121 58039\n9586 57840\n58877 98277\n32734 86651\n43379 75089\n37105 89985\n91778 98435\n72945 78475\n9725 14897\n21029 84696\n55207 83157\n23504 44242\n80515 81439\n51502 83195\n40076 81255\n67187 94231\n3125 59479\n3673 32868\n20132 41861\n53696 84789\n19848 31742\n2560 86585\n71357 95172\n29788 74202\n922 75349\n57600 65689\n850 13069\n265 11594\n16014 27111\n50046 55050\n47370 68989\n81589 91209\n6327 30029\n16583 63200\n47611 89835\n58287 89261\n25266 68601\n15583 90850\n26321 51696\n33437 83175\n48642 71706\n56442 85463\n6220 49276\n47559 98538\n51099 51447\n7025 46672\n8970 69677\n34715 70120\n35538 47680\n7899 68904\n41981 97230\n41613 80558\n30730 92432\n22393 47778\n38136 68190\n51296 61794\n80968 83661\n3313 56327\n14053 46864\n980 9457\n47275 70216\n9786 77157\n10668 57019\n86770 96363\n72082 80493\n8013 32878\n58378 90081\n29768 99752\n52545 94933\n62148 88670\n34281 43797\n54030 61283\n28563 77005\n1234 91191\n32691 51597\n44244 55928\n57431 72908\n4435 65348\n68296 89453\n29688 91917\n7634 95121\n9356 30556\n22272 79733\n16352 51582\n35233 76528\n63629 90278\n33498 47859\n34620 60526\n35906 95016\n60276 81129\n20010 51882\n92628 96590\n31452 88183\n49232 50226\n7697 94044\n26902 92079\n64819 95276\n3895 19696\n76596 89823\n1280 36999\n347 83974\n84367 97095\n10946 36202\n47276 63707\n7461 28579\n10451 91388\n24563 62025\n23677 99025\n13697 15344\n32794 85938\n5708 16077\n11823 44478\n70631 79082\n6994 69007\n24660 66353\n9941 50519\n9173 45187\n57018 86979\n43628 94508\n32866 77367\n15213 48733\n16525 28214\n52717 65312\n85707 99615\n53418 61654\n37356 83612\n8732 71639\n11795 85131\n599 26394\n37603 86751\n49349 87134\n29959 47109\n958 31177\n43718 81260\n21000 97543\n4682 73310\n548 6389\n16682 26907\n58636 96875\n60569 93913\n24782 52212\n18295 94026\n45095 81783\n10974 23154\n5029 28117\n57320 74807\n53678 72244\n40069 99356\n34928 65999\n7630 25245\n21551 78867\n6860 28072\n8842 20923\n29352 98921\n25515 31767\n33725 56876\n38238 96495\n37489 51381\n64723 76257\n70521 89864\n14830 60378\n284 62533\n4776 70000\n55598 62457\n3645 24726\n45369 45904\n60899 81453\n57726 58424\n26434 84608\n1707 41539\n2767 3814\n50944 81023\n3912 21446\n58186 82778\n17913 86746\n45757 88752\n62638 71637\n64172 70929\n69062 77219\n20261 22246\n50861 52407\n45117 46195\n15114 46448\n23149 47603\n88537 99573\n15040 24866\n68710 98308\n80382 92828\n30974 31961\n12413 34718\n30791 64201\n8646 94051\n19244 92592\n45195 87132\n4326 64679\n7788 92209\n57642 84078\n22566 23980\n48269 88482\n49584 94498\n19720 92890\n7018 24653\n23469 31963\n19063 91540\n28385 58063\n14908 64875\n19639 41041\n6315 12272\n599 77124\n12105 72872\n63188 98223\n18286 45497\n79725 94697\n14892 54794\n42907 85833\n54803 73583\n20228 40815\n27642 28044\n37863 38281\n26343 40541\n60990 68514\n24900 91326\n31359 64575\n23194 64244\n51972 58889\n21390 60197\n8671 66097\n47375 91491\n36579 94656\n1134 22932\n25024 34205\n43671 67739\n19232 77522\n73153 86395\n24574 36591\n41433 47544\n407 16190\n1397 43664\n34926 87910\n6545 29686\n20578 73606\n32287 52485\n1297 2122\n5109 59642\n9083 56651\n6187 24885\n6100 29305\n22038 97017\n34930 74358\n65077 86717\n74556 83080\n71309 87228\n7195 77106\n4606 86942\n17344 92618\n36421 75645\n35100 63811\n39042 43514\n1583 54762\n19902 22324\n49595 96619\n67789 68097\n79990 97037\n21054 66800\n33858 99816\n2665 92708\n35960 79217\n68187 91936\n42713 62291\n14262 87115\n73800 79691\n79037 89963\n15640 81342\n780 31462\n20804 85759\n43757 78144\n45983 73612\n6064 29604\n24215 69984\n14585 40991\n23071 92462\n16153 92906\n31795 50841\n19265 34646\n43990 81459\n68672 72364\n37904 59470\n41562 98259\n7608 77457\n15442 52548\n6087 77354\n71254 72073\n47946 82496\n22707 89596\n12496 79928\n55754 93623\n75020 92114\n41730 42669\n56613 69775\n52147 68314\n43676 93416\n43398 52375\n27897 48807\n28262 48808\n31932 47015\n7351 11589\n35751 51606\n54409 78176\n12295 44724\n69946 84615\n15449 50433\n20629 74764\n41567 83368\n13572 99872\n86679 95808\n77553 80607\n229 46524\n46124 68929\n45988 79168\n23821 44260\n78295 79140\n28452 90601\n31129 78726\n24832 86733\n7336 93722\n4472 16629\n7591 87428\n34050 87880\n1695 80658\n72110 79693\n19050 36290\n22307 39359\n46241 56644\n61540 72834\n29209 55934\n33886 40112\n1459 16314\n33194 54189\n32363 56264\n3097 15677\n58053 92221\n58430 90358\n23203 88692\n19224 91080\n40353 42716\n31817 92068\n18310 58222\n6411 91223\n8225 83619\n40208 54541\n24366 39448\n17146 30104\n80804 89405\n42276 91263\n10311 83348\n34274 35610\n9603 92304\n33846 52087\n20983 53459\n6109 84639\n18171 72552\n29292 82032\n48763 57995\n28052 38609\n26177 62370\n73926 74383\n63706 83392\n7235 37954\n31057 61760\n29489 85650\n14802 87240\n34463 54184\n98603 98795\n2284 2428\n14405 18540\n61135 80859\n81643 98742\n3360 93788\n37563 88061\n42763 76312\n32795 40431\n29952 71221\n13134 95872\n8435 51222\n66417 94844\n38044 48226\n92062 98199\n13869 52857\n6378 43502\n76284 84182\n14191 79081\n66308 84600\n46158 59353\n29608 30372\n65551 78270\n24364 81265\n12027 51537\n18535 53143\n39745 65328\n53467 94951\n66682 91011\n14573 54453\n3022 69750\n62502 80296\n29982 41632\n33483 99821\n58270 78582\n64340 67581\n18540 45891\n32180 83974\n72226 77185\n27958 69978\n56630 80347\n22070 98706\n65902 93350\n71966 93235\n24821 68814\n22710 80378\n17449 57319\n41748 74719\n1012 62392\n61251 85443\n17305 93775\n10483 73701\n46823 76064\n15494 97432\n36040 74464\n8775 20622\n37114 64855\n91546 96903\n1961 2455\n47367 51649\n7402 41692\n4231 99514\n58109 99670\n12808 25705\n42533 47175\n24793 47068\n25403 82223\n22601 72904\n595 76411\n21690 35828\n2471 83252\n30523 80581\n51480 74463\n4363 86758\n65082 71000\n69182 72575\n28694 56340\n27581 98136\n47951 99049\n21823 41973\n4672 38513\n83465 84684\n511 14644\n8890 65371\n32232 92497\n11162 36407\n26430 95967\n31270 44327\n8470 67473\n53704 79036\n69144 77393\n14450 42923\n63721 76341\n3745 59106\n781 46167\n5391 78394\n80949 82791\n67291 88112\n71412 87001\n14188 96538\n45226 71054\n13664 49525\n59524 72668\n67357 89834\n38129 82235\n54831 67163\n52791 92835\n52577 54884\n54156 94283\n26669 71567\n2385 55994\n38885 43712\n66374 93348\n59253 90652\n20583 40537\n43876 81941\n61488 75339\n6169 71246\n45198 88237\n11194 53744\n12348 32841\n35183 66653\n49265 84644\n32009 73799\n14639 36106\n27488 67613\n16462 73358\n37439 43747\n46880 82991\n63782 75248\n46853 65107\n52899 82312\n53344 66246\n6854 75412\n61944 74185\n12915 66233\n12077 30926\n65574 91050\n6350 93830\n7620 34653\n58802 90079\n52854 63721\n163 42934\n29590 54613\n17071 99252\n62517 85155\n24955 27790\n81538 84807\n22791 45958\n31415 59190\n51314 70646\n41287 47076\n39409 77280\n58509 77156\n76697 78667\n14098 84079\n45524 64971\n7603 53263\n40434 69254\n58059 91725\n39438 71707\n38946 63215\n3606 76685\n46764 87838\n41144 81383\n28482 89513\n37558 53454\n17917 61389\n15635 50424\n1655 48761\n6302 90730\n19417 81359\n12067 61457\n21623 49412\n19516 53374\n1169 2432\n58223 90023\n30889 35663\n43771 61443\n32988 90476\n13908 86114\n19632 43866\n20963 45765\n47569 94944\n49505 54781\n53040 77402\n18555 94576\n72855 85407\n56231 82397\n16383 29173\n43733 81670\n24610 66639\n156 86990\n76485 91006\n77991 97581\n79321 97097\n39562 61812\n19763 71134\n6672 97173\n3857 24670\n45187 49302\n11942 15338\n80357 95872\n40932 99841\n14767 67191\n14919 47151\n18578 53331\n25279 49645\n22977 81971\n8151 49406\n58961 67294\n38942 92974\n7922 40133\n23586 53286\n21286 87853\n32684 36269\n55577 57886\n11431 65146\n65019 94656\n16376 33059\n39228 49130\n26388 31959\n17873 99662\n65603 86518\n15487 60786\n2067 73192\n71517 98192\n15577 28880\n5190 97743\n68607 83812\n6980 64146\n39767 98328\n5463 60361\n8045 76183\n27089 85106\n27205 82660\n23609 53652\n57026 80132\n4707 40912\n63378 77918\n56132 63450\n87920 88376\n29133 53606\n3789 14406\n46110 54610\n33720 50401\n1210 37625\n14572 19861\n23756 42497\n6125 42647\n22370 93125\n36807 75513\n10458 24563\n9609 88990\n12284 47494\n30090 99052\n37637 57011\n2823 62431\n17657 60684\n35019 70726\n30370 78779\n72342 76752\n8559 24891\n42784 66399\n11151 60822\n21784 64356\n1484 52189\n25447 88875\n34858 60351\n65793 81800\n53300 77521\n5979 34686\n93274 94587\n69462 80281\n18483 31788\n33647 53868\n9896 42268\n96 45799\n3302 58256\n46671 63809\n24955 90140\n14781 63786\n46109 66524\n12099 26333\n32327 36375\n53564 97209\n31706 70418\n7954 16434\n3570 6338\n18653 51833\n61772 81086\n22346 29371\n1913 82735\n52537 97277\n63464 72919\n49380 94900\n41203 79737\n13569 95784\n68811 80976\n14728 96427\n1055 9318\n12607 20147\n8640 37845\n14889 48393\n16374 87539\n89481 99247\n52477 57257\n14414 38409\n42731 43440\n52479 59859\n61042 90303\n55187 74505\n27537 36356\n19074 44822\n47752 77426\n20830 76372\n14833 68972\n4180 25999\n37598 99232\n57617 71220\n39625 88416\n16756 46215\n6469 39821\n70922 76343\n7209 9183\n33552 89163\n21353 95376\n57226 97767\n23825 60204\n35443 59233\n51012 97799\n4265 97808\n33059 87889\n84203 99360\n75957 83130\n69522 81016\n34493 77005\n32558 37663\n29660 74887\n11458 66299\n16372 34849\n57966 58431\n16287 71722\n24218 96752\n19556 36952\n39350 40821\n7767 28181\n5330 52331\n10600 62303\n29015 59806\n44805 89270\n26245 34517\n8877 37591\n74076 74969\n6836 61702\n24272 37984\n35705 36916\n5887 70427\n11703 97051\n37672 50676\n57429 84922\n15496 36597\n31932 36084\n30045 67332\n2143 98317\n30328 77580\n37619 86593\n47993 86670\n13412 80687\n52508 62274\n6917 62747\n142 37851\n56585 67094\n46154 58195\n13110 61947\n69663 80693\n56207 66034\n34935 85767\n30065 74518\n850 71129\n43413 89666\n45300 45834\n54995 84879\n32538 99227\n6754 34138\n52480 97995\n21384 70693\n12410 56158\n11644 57611\n70155 86520\n29944 32382\n571 82643\n7691 9653\n35147 41713\n19843 90087\n32765 41544\n37666 42633\n9615 82713\n364 19138\n87211 88831\n15819 29014\n86849 99495\n2299 3376\n15685 46558\n24907 37793\n37432 38890\n59852 72778\n25995 34493\n77789 97922\n32958 95790\n2217 13450\n91368 94141\n17534 65127\n24884 49396\n9703 66747\n45726 99410\n65768 68681\n512 7617\n21506 23014\n27899 58462\n62708 89485\n42162 85956\n3461 77648\n76108 99975\n30168 86389\n17575 19446\n35165 89389\n55678 94596\n78977 79728\n58955 84455\n9080 65044\n1797 70180\n334 4299\n12317 39382\n30166 88282\n59524 77115\n13078 87402\n25148 56627\n65777 75084\n6892 46361\n7397 73155\n20877 99144\n8744 40392\n61169 94564\n30514 37880\n61929 94501\n40757 93011\n41572 73341\n76390 83599\n21453 91817\n43306 79374\n65645 72270\n8438 74822\n5447 49238\n62285 91976\n71327 82289\n10716 87467\n53118 85354\n39090 98366\n15560 56211\n23588 46837\n22385 82670\n55078 88359\n35918 76287\n48406 68853\n41015 58153\n10109 36797\n20564 51033\n11678 75772\n51216 76952\n27914 32025\n2902 46805\n26399 91053\n42230 83062\n14790 87129\n88953 98728\n72718 86239\n8134 8804\n17016 62149\n32048 96941\n95604 96361\n33852 72748\n23749 71259\n20288 84416\n10448 36936\n44999 75239\n32195 62697\n29659 39443\n28505 60801\n2179 77387\n48558 60040\n341 91311\n39503 71126\n3974 7804\n79074 92467\n59502 63199\n532 62883\n46354 49696\n58885 73579\n12401 83689\n68873 94979\n10644 36483\n7258 95538\n6114 98339\n12103 24267\n6147 82611\n6623 17255\n3930 73216\n13617 58127\n8288 15479\n68337 96035\n36040 77268\n33628 51038\n49706 64252\n752 40536\n42688 66295\n33690 74356\n20911 62061\n53703 71047\n29199 79587\n44587 93042\n6962 36027\n4106 78481\n70005 93711\n15210 99158\n9869 96189\n31026 60575\n69117 75925\n45821 96661\n14105 26420\n37489 75128\n13960 43372\n41931 50817\n34392 69456\n45986 81463\n17906 67941\n78684 87813\n7479 30470\n25600 66533\n19633 49512\n74222 93575\n5597 39756\n68330 84088\n28509 89281\n27978 47158\n25788 52028\n36392 67008\n33315 99154\n77681 93579\n56532 68492\n70919 86002\n4369 83663\n65590 79662\n27660 74431\n15232 64190\n49356 78370\n68124 90048\n29378 56850\n38470 78719\n39912 49096\n69554 95235\n10907 70896\n83125 98277\n41084 50640\n58134 88416\n29440 61909\n41088 56435\n30873 78302\n27378 88108\n18534 51360\n20896 89571\n38521 57108\n17338 96691\n51783 51808\n37376 45421\n8346 76465\n44177 52273\n17173 60008\n16575 19979\n36211 73780\n21097 56106\n12066 17396\n36282 38430\n47987 95308\n3799 86116\n31417 57814\n47376 88899\n39479 81068\n12137 41490\n27582 67648\n83541 98367\n34211 55258\n42004 94761\n40683 99748\n27370 32810\n9625 66421\n43102 84961\n16490 88462\n4416 90134\n71310 86532\n5136 56554\n17974 60114\n76609 96471\n76373 76983\n7817 24706\n11508 67949\n63103 75448\n8464 89267\n44334 98223\n33545 82928\n46501 90479\n40036 46100\n35671 94224\n82638 86695\n22966 57079\n43272 57262\n30100 57236\n2389 26222\n19194 80108\n6083 92702\n62568 96340\n11412 48321\n89737 99516\n2516 25221\n8154 65569\n21132 57354\n68440 88359\n11435 89673\n54702 87381\n49016 65732\n39954 69542\n6415 32187\n32357 96075\n3278 8898\n37390 53114\n10647 92556\n73326 78598\n2042 78229\n8433 22523\n18606 73352\n22520 39075\n17118 54488\n59674 75939\n1061 19379\n28902 55264\n33955 64972\n38453 95387\n15787 89315\n14119 86208\n37857 72306\n44426 92306\n2229 73409\n68439 74915\n46412 55495\n82127 92011\n965 58596\n4179 21909\n52027 94563\n33254 87288\n49776 78058\n72135 96374\n10887 65661\n65694 84315\n45009 64052\n58736 80108\n48924 58435\n30382 63105\n1501 33788\n2580 66861\n79232 94754\n59422 85802\n48399 56355\n4933 89635\n49635 93056\n33327 63643\n64050 70549\n40037 50533\n33670 79041\n79475 91090\n6900 43783\n8428 52568\n29765 35009\n14589 70057\n21701 48096\n29675 80628\n5267 15480\n6044 13448\n5557 81217\n23178 38580\n30984 82718\n22872 88768\n8041 21738\n14602 64257\n57115 95883\n1958 39259\n30768 82194\n19716 52286\n34702 52226\n71750 99254\n16088 87707\n60309 76177\n9162 27484\n70167 77080\n12703 77991\n19385 48760\n7573 80829\n22193 71103\n28730 45442\n8132 85898\n39622 45222\n11414 82229\n14212 59876\n16725 76283\n21309 64210\n689 8402\n27861 58175\n14879 93245\n69932 70742\n3188 92031\n12859 22063\n13347 49408\n10183 15431\n53371 73207\n37614 88688\n20716 52879\n49800 55645\n73040 75722\n27705 68147\n28449 53881\n43468 70750\n17002 51825\n33152 38049\n16888 42644\n31408 68977\n1615 73442\n22151 31746\n67338 93057\n56976 84234\n2035 41186\n18299 34539\n85629 89790\n67598 92950\n12109 12645\n23623 62223\n40595 47330\n3957 69443\n59236 62296\n46663 93240\n46099 87603\n85479 88562\n18972 33602\n74226 87938\n11278 64812\n37158 72984\n8797 16010\n32541 80364\n66737 96291\n60851 84373\n6827 93123\n20291 80311\n30058 86215\n4542 80059\n61103 97985\n25932 61956\n33321 62701\n21575 79324\n6738 43838\n44505 72570\n50197 82907\n63256 88778\n33090 94649\n15687 88437\n5935 27779\n30460 73899\n20350 70272\n2520 81623\n10588 33020\n70742 89600\n28544 61650\n29677 82228\n64897 85052\n7067 32461\n48439 79841\n35182 43390\n48894 64676\n32760 45371\n61662 99813\n24639 55450\n3338 28382\n39600 66245\n21838 72031\n6075 93350\n21732 40181\n32455 52353\n32818 80341\n38148 91974\n39081 73868\n66429 89638\n38712 72966\n5234 50971\n34594 40089\n15198 93655\n1618 64857\n66504 82566\n51706 56098\n31006 41663\n24185 25577\n59152 62237\n49389 95449\n19026 59711\n36345 50431\n66729 88323\n4189 79655\n60470 92502\n30449 41761\n24765 32422\n17623 61367\n27614 92602\n8371 29450\n8360 54889\n57586 91804\n23184 61108\n42162 85023\n33560 65634\n27499 32383\n23637 30109\n21334 60857\n55451 97439\n19291 51951\n71335 79967\n24776 89672\n10797 37396\n16301 93968\n3161 60726\n1590 62360\n28068 36773\n57279 85569\n20336 63813\n37610 40715\n49142 71475\n50423 77795\n18078 53376\n25038 70753\n75682 97640\n48399 96473\n34224 57525\n45964 73795\n58261 70382\n97 11871\n18692 62612\n23444 95921\n12571 78563\n28774 31385\n40985 62914\n33610 43970\n25182 89549\n14377 38970\n23255 76957\n6636 90407\n15567 36169\n20794 62749\n6180 12327\n85085 85277\n2154 48629\n28173 45682\n17398 21988\n29757 33214\n77646 98803\n11525 97139\n21091 28106\n6161 25524\n55814 67341\n19110 97810\n6428 14283\n77648 80116\n95585 96009\n36846 95208\n4279 57370\n15283 68094\n80056 97269\n5977 59046\n2235 2247\n12253 77124\n67099 97832\n4438 55489\n41633 89935\n3777 68286\n85439 90524\n27727 30142\n56828 79788\n45388 55283\n3105 75958\n7564 92921\n31578 37106\n44524 73830\n29956 80174\n16840 87272\n19533 34252\n15456 36818\n62874 70895\n6645 23982\n25168 55607\n14537 52342\n58067 95807\n34456 67849\n35129 57193\n55206 55584\n58416 68401\n5714 51636\n69453 83657\n57200 75343\n91877 96091\n41010 77986\n31237 44417\n28545 39312\n21353 30955\n1190 34075\n9329 45672\n54536 92961\n1640 72249\n36111 86741\n6867 8594\n12879 56351\n33752 66451\n45568 98845\n7245 85820\n6468 40573\n44365 72069\n15055 54726\n26992 46502\n19948 67850\n42708 43222\n7418 88639\n45159 49296\n23774 75390\n69678 70928\n45880 55559\n58143 73785\n14491 30404\n72824 82841\n19622 80959\n16953 62120\n18874 58001\n33469 37867\n30847 47057\n9760 72002\n48628 48873\n82101 93426\n22564 59420\n36601 40135\n47063 71343\n31843 67684\n74426 78435\n35920 37436\n14416 25394\n1976 34613\n26114 76374\n53757 69971\n6448 8028\n55055 72041\n36971 61573\n25851 72350\n17049 36556\n11708 97971\n6217 50683\n33700 68372\n208 59068\n20467 97709\n75347 80616\n69622 92584\n28299 80729\n3356 69848\n41850 67281\n42108 87524\n13665 84798\n35342 44207\n26941 77604\n53649 95251\n26076 61536\n8150 42207\n2808 4466\n34723 54607\n33156 81802\n34728 72738\n2196 48420\n47543 67466\n12310 63331\n22499 79302\n33780 97891\n35532 48492\n22248 50146\n82900 93190\n67370 97003\n65858 97791\n13534 25069\n30872 34270\n9422 63858\n25708 48352\n37161 56424\n33483 90437\n29418 97830\n33294 59028\n25115 42910\n31349 75559\n73853 93561\n28681 73510\n22946 51468\n10362 24650\n64505 84920\n42421 55771\n31650 60892\n43272 48426\n19090 22937\n13839 29327\n133 36466\n7880 86325\n6310 37303\n62175 99434\n40249 55165\n21553 69475\n75848 84187\n71131 73764\n2121 97707\n11396 30172\n1715 93507\n25151 25160\n24677 80745\n40620 73345\n15534 19928\n37870 84126\n16386 40581\n5373 94991\n9189 36417\n35613 99623\n81892 91409\n17447 75836\n22215 55980\n11510 74742\n24556 31871\n65542 67306\n2616 88464\n29829 71162\n21725 60405\n29808 63977\n53387 85855\n56872 95499\n80950 89041\n37251 73818\n12923 89951\n7972 93918\n564 49689\n18925 71127\n4084 85198\n59675 88447\n2088 12421\n60488 74603\n22914 77346\n1027 20718\n17194 71708\n37591 50017\n9580 88049\n22137 63708\n20143 29862\n25660 35918\n47724 81766\n14621 85493\n27870 65925\n59125 91363\n52219 81723\n9672 65825\n37765 75000\n44235 95944\n26641 65505\n23026 31723\n29800 56587\n19556 75878\n6766 64058\n61377 64069\n21603 23839\n55333 69282\n55437 81990\n1124 27351\n56842 70411\n8810 60865\n50467 55659\n13254 74824\n63116 81507\n58884 90902\n19797 80541\n21807 97572\n818 64885\n34773 96983\n2600 53700\n75 53812\n25859 58247\n26922 97350\n44036 67750\n28404 88767\n2438 20543\n39591 82338\n10091 86023\n75267 96856\n10803 95371\n38493 55465\n2756 98730\n11481 27514\n39378 81621\n7416 10268\n40215 95902\n34557 95784\n2379 98958\n21129 24385\n35242 48291\n27636 33487\n49260 67251\n43690 63220\n45624 50316\n65720 95564\n15682 16337\n12393 53776\n81524 89461\n48341 65074\n24086 50306\n12815 95767\n84525 99729\n23988 76956\n865 83872\n39313 87795\n24065 58157\n9450 95510\n6543 59226\n22180 61839\n37209 54579\n4415 74211\n49480 51860\n74764 96386\n36009 76974\n41265 84757\n64202 77234\n34587 91407\n18792 37709\n39453 95273\n29960 39619\n43422 59407\n11264 63620\n10777 29736\n20813 64218\n28267 29513\n94980 98641\n159 50227\n20450 78265\n20687 99190\n80320 94811\n22045 99698\n95187 98542\n39503 87772\n61144 74536\n41146 85188\n7544 89003\n25258 87638\n31564 61719\n21149 23167\n8021 70546\n50391 89916\n33433 59365\n31754 97793\n33109 77780\n12648 69513\n24752 35697\n2536 8461\n57082 60893\n46777 97048\n22364 88812\n30882 47873\n82753 82780\n39018 88278\n51372 54704\n16978 37933\n26560 91083\n32879 36551\n50269 56923\n93963 99243\n41944 83206\n26014 32983\n63177 80134\n36980 39852\n25638 60346\n1123 94470\n20839 82742\n31137 71293\n16642 91133\n71880 98775\n1176 77304\n69971 71749\n38267 82014\n24882 64201\n27219 85169\n33932 88255\n47349 84099\n69178 74697\n4759 45951\n57996 69818\n76326 96352\n70040 87435\n29631 44451\n10554 46259\n4689 53075\n38971 79549\n51441 93823\n66369 80201\n39718 45912\n31616 60223\n26440 91960\n65151 71290\n36688 70000\n23361 36447\n78241 96863\n54984 84340\n625 72185\n46754 81365\n16118 68487\n55945 77292\n35880 76907\n63648 85540\n10534 90746\n18595 63085\n8385 81716\n60801 68151\n13053 55513\n57297 92899\n2156 9160\n74772 94719\n29836 78189\n33073 72557\n50340 69933\n2375 74989\n3499 60161\n48923 90068\n29087 63657\n31575 37619\n16740 45714\n276 12552\n11296 35905\n7188 93990\n21403 41131\n15995 85769\n21653 93735\n54636 70809\n30475 38885\n88027 89315\n5317 90623\n19695 29083\n30903 56762\n60459 88567\n58688 82850\n5038 99667\n34724 45244\n2314 10785\n44964 95624\n91174 97804\n81324 96242\n46542 63341\n578 32115\n42902 62579\n46016 82586\n35395 43307\n2817 20728\n35404 53982\n45678 54008\n10268 57213\n36523 39113\n76371 98306\n8262 31645\n2126 24706\n5975 58942\n4039 88923\n23169 61880\n39595 69380\n54734 61741\n26706 30985\n39706 83053\n33509 85206\n29404 48874\n84019 90298\n71846 75716\n25379 68120\n68601 74456\n24951 86322\n82840 84503\n6906 18421\n1738 23196\n29726 76222\n26822 53460\n63844 81755\n31515 98508\n27107 82873\n1606 74817\n2357 59854\n23609 96872\n37068 64988\n70085 95381\n10500 52574\n25168 69072\n41218 93074\n26550 41127\n16922 39603\n6247 42608\n11612 14439\n16092 56408\n45176 62262\n10546 89742\n21674 93797\n44407 45337\n86426 91185\n10110 69237\n49710 62890\n15390 83125\n76620 88927\n14816 94164\n45055 67325\n23358 31340\n13972 32083\n19725 43290\n52559 80732\n13078 32250\n13901 36211\n28163 57680\n48552 78703\n88629 98591\n5988 49388\n34722 72367\n30072 77328\n6776 76780\n33057 98436\n61761 89219\n45306 76971\n75543 95390\n71175 77883\n66037 98833\n25552 86037\n16354 60929\n5293 95735\n21197 27935\n15939 46984\n17399 81666\n93452 98920\n17739 18740\n30563 46385\n6218 44665\n11110 80748\n26068 97146\n6163 70471\n29172 81819\n10159 69249\n34470 94834\n32218 58644\n40399 61127\n9489 30409\n29209 49343\n31943 51251\n25620 59475\n74676 87829\n7366 40578\n34299 83136\n46408 47261\n74380 95840\n32533 51572\n35863 41350\n32617 45165\n22963 24991\n42383 82171\n40818 49086\n44261 65432\n16549 82023\n50570 91746\n74583 86524\n78317 91403\n73517 74271\n46060 54114\n12354 81080\n52841 70150\n32822 90140\n8456 96601\n29927 85887\n39135 92475\n5929 35066\n63523 81281\n36479 65910\n42442 78781\n8041 95044\n38526 46865\n85524 93877\n25010 41567\n8439 94834\n46771 95185\n62623 87579\n22806 78499\n83372 83426\n21076 74255\n14156 27017\n21747 82877\n38461 71304\n9612 36094\n25711 32497\n55589 87910\n6190 79701\n47283 72474\n28356 73234\n28031 46129\n6918 10691\n42946 81960\n76599 87098\n13480 77939\n18659 97361\n4982 40572\n4564 31400\n2894 21295\n72723 85074\n28583 55137\n15860 17645\n39212 74101\n14209 79946\n27210 39016\n4355 79512\n25355 80049\n48026 98867\n69542 75443\n38041 42515\n30706 80740\n67453 84148\n27815 30827\n3960 33133\n70891 79110\n16880 16948\n11987 63113\n23914 39203\n35667 61228\n26988 63786\n15662 78598\n23233 73853\n30771 40006\n45086 48229\n46353 92855\n16143 98832\n15970 91976\n29588 64949\n51862 61795\n43430 67897\n15659 87047\n27461 61313\n14295 28865\n44532 72612\n23095 31115\n50129 57562\n32212 50298\n40031 99189\n12603 17840\n75583 88187\n55088 59888\n36098 63330\n9579 56253\n8133 41367\n21535 41789\n4529 99269\n29127 29418\n9364 21908\n70077 94713\n10782 61654\n56501 87852\n38803 48575\n47766 74583\n46236 72985\n36393 57972\n9943 56063\n66705 99729\n30022 89576\n9251 67413\n81154 86389\n4038 90080\n31272 67831\n4107 21519\n62717 84770\n3506 12118\n32201 44016\n18595 73108\n19240 76786\n20626 99618\n51225 56575\n40125 45028\n32951 63982\n9713 68699\n13703 15268\n37515 56493\n53155 63152\n17367 48338\n29372 47639\n59550 81240\n4726 87854\n60125 85893\n40302 76952\n5086 35664\n56365 73722\n29771 58888\n62888 87485\n25301 54791\n6866 88627\n64188 78611\n36465 63492\n14613 24760\n63932 68594\n725 7001\n55507 90821\n6837 85841\n29237 43520\n18084 30891\n47977 96108\n93798 95342\n53105 67784\n3240 62394\n28116 95688\n61257 96852\n77606 89057\n13694 66958\n2410 74227\n10609 49113\n33012 63624\n2516 37677\n18955 67139\n49528 51423\n48253 71096\n15427 64229\n14564 32822\n19491 87169\n3094 60015\n55558 61011\n31787 97520\n65601 90821\n75375 80612\n55907 76529\n25149 63479\n25817 73468\n64615 70363\n72982 93202\n16643 89198\n7254 65694\n10090 23286\n18252 36201\n48246 93973\n61047 70595\n9273 28516\n47224 50624\n22870 43687\n17238 56186\n15004 39788\n42398 94944\n24674 58866\n46196 98917\n32333 73998\n1849 14018\n34622 83844\n1906 3902\n44320 75540\n22695 40245\n18208 45101\n53638 69739\n90982 95246\n4320 20667\n78686 96927\n17640 26816\n4580 99743\n2384 93306\n56490 86079\n42458 54859\n9215 27079\n89324 94682\n18385 93090\n610 56374\n23555 82851\n50145 57727\n42503 57409\n87173 88582\n25826 65752\n81017 89746\n10192 65127\n15199 16222\n25912 79234\n27480 79836\n10562 40648\n90143 97045\n1863 44139\n59562 78166\n4029 73632\n15101 76259\n88528 92961\n40931 86629\n84778 88946\n62889 72493\n49844 71325\n10653 28796\n33559 98664\n92215 98357\n35391 40585\n5042 25374\n44249 71835\n17927 28357\n10907 34622\n63978 80299\n32702 35605\n783 47728\n22738 44131\n3521 65298\n69629 85661\n5497 19084\n28702 69843\n45518 77070\n55161 73063\n26318 99313\n1434 94871\n61582 94803\n29110 35105\n41371 74157\n40864 69818\n56516 84171\n31810 53463\n32710 72626\n7367 35802\n22859 93061\n16193 53127\n26901 90979\n7247 14027\n27514 85330\n42605 81163\n33237 79887\n39036 62039\n18041 66349\n71985 84097\n1654 3761\n10653 27229\n13083 83629\n6682 51000\n31685 54630\n18569 35260\n56782 93136\n31403 68568\n78921 89209\n21926 77132\n23339 71199\n3854 85350\n25271 57945\n77699 77818\n11330 16541\n38579 81377\n16364 44194\n6033 18980\n20650 78804\n86650 94680\n33622 98137\n72592 99584\n15362 53056\n54387 85577\n1675 54137\n8264 75135\n3942 96538\n46433 75438\n88600 92930\n4399 89967\n52427 65933\n66193 77990\n15921 42024\n35633 70677\n61499 71855\n10864 28679\n59381 72375\n9965 16096\n19448 99979\n5115 50564\n12687 44586\n87688 97330\n52421 99610\n87762 93272\n5409 70597\n46030 94650\n53532 67683\n19181 98613\n57905 82922\n65598 94572\n37766 91296\n30569 76352\n14017 23204\n8678 60929\n58845 88506\n40449 80221\n3546 17213\n1963 11778\n69020 94654\n12911 24194\n33092 63055\n31918 83317\n1801 97778\n44841 86873\n52704 53539\n13429 74893\n9756 11502\n21490 59264\n9960 14588\n58768 95490\n15895 42341\n71461 98507\n39840 78730\n31911 39140\n69581 78230\n49740 76704\n37674 49614\n52456 65343\n64945 95783\n11714 69121\n58069 71988\n19707 61758\n22683 87082\n3811 11184\n54835 76459\n46804 50454\n17057 84167\n80888 82410\n2012 37091\n43687 94526\n20069 22140\n24736 82491\n34785 49059\n2451 18507\n669 36032\n41264 70334\n16235 17048\n71478 75032\n67293 95826\n6904 7293\n61336 63583\n24473 88258\n18759 71774\n19622 85601\n10092 63095\n14650 48636\n6645 33300\n4679 73746\n9797 69331\n84354 99175\n32145 36284\n24261 69209\n54850 97728\n682 70792\n39170 82972\n68631 69914\n34863 93398\n44488 69298\n20356 81266\n38142 90283\n2396 48347\n9501 31624\n1633 15398\n46314 90074\n66856 96504\n5330 46156\n74404 98715\n43728 81360\n182 96646\n37371 71655\n59814 65645\n22324 85207\n33390 93905\n54560 70862\n46878 75645\n70253 93975\n10949 11300\n15803 99326\n27572 47043\n15290 92521\n55597 88991\n57200 74819\n30999 75146\n55365 78174\n43025 62389\n25990 61098\n67505 89066\n24882 61157\n15674 69289\n27325 52318\n5887 37425\n17159 26660\n25648 66642\n8150 34645\n39251 45049\n21924 68419\n35779 61805\n38085 72348\n7291 46351\n32017 49387\n37611 71493\n13324 47267\n21266 89550\n28670 53262\n5031 65784\n19547 80091\n1663 89243\n50745 60595\n25084 70114\n25231 29534\n38020 60651\n24832 54764\n36713 90059\n43198 64355\n76500 89824\n31190 74697\n41887 90237\n76239 82700\n38827 69447\n65567 98278\n9841 65976\n56795 87331\n22691 72311\n31484 35502\n13465 36215\n6087 11597\n56123 76442\n8044 17695\n27011 61581\n26528 32342\n67476 81716\n1948 80990\n9209 47507\n2674 18319\n53960 93917\n64209 78012\n3545 74679\n35216 90044\n16414 54445\n73711 89897\n15924 42864\n23571 44995\n2695 83388\n39125 91249\n10434 66729\n21596 93119\n21689 79215\n76617 89146\n53500 77766\n482 91047\n60544 76931\n24001 86342\n56576 68034\n13646 14305\n12849 56175\n19813 77935\n34605 59760\n47811 60641\n28775 49796\n17637 75952\n94700 96735\n86879 98168\n62658 90483\n22615 71794\n71960 89766\n3905 8769\n32966 37845\n13190 40314\n33257 61538\n30807 40822\n59616 86703\n52972 89897\n92942 97493\n46271 99710\n11687 31774\n44463 61118\n77925 97584\n23450 99755\n19792 87938\n5073 99941\n11343 70617\n49047 77261\n6267 34514\n73352 76769\n68400 85055\n42803 82201\n57934 85925\n12870 74402\n27529 61540\n19540 78952\n21298 62742\n21602 26194\n48230 72296\n46295 92990\n23513 99769\n41803 50125\n23723 82266\n19633 69625\n13736 30224\n178 40840\n82765 96771\n27829 50524\n53621 64825\n52339 88423\n42158 70358\n60789 95301\n61877 78001\n25579 74149\n11782 76665\n33034 61811\n72372 76494\n10098 58068\n23349 88889\n10735 30683\n76760 94806\n75898 82640\n34569 72677\n21109 93157\n44455 90638\n26069 69270\n151 1128\n22533 58608\n20765 63178\n67646 81585\n49148 76336\n6262 28927\n24795 80761\n34727 82934\n51386 85106\n13826 96410\n19935 47536\n3156 69797\n47239 96091\n86398 91385\n38192 95511\n40039 44792\n43281 55979\n46446 92610\n58745 63086\n11574 52459\n5987 7697\n85422 93963\n43656 89162\n69814 81773\n5467 43957\n14630 35817\n10083 16698\n12308 96197\n27371 93056\n20091 62371\n6750 12128\n33690 56028\n56124 99504\n4452 76100\n33737 92278\n71851 98157\n29896 93431\n2487 78584\n52881 62375\n87910 90348\n67090 81902\n42327 97088\n8533 37228\n21138 22429\n8151 26617\n70922 81712\n13874 38144\n38082 63527\n16465 59005\n12382 51420\n66716 81538\n20942 22644\n53123 72053\n7207 80614\n70024 75857\n56471 58437\n36251 83013\n82813 83729\n12374 61838\n62490 95387\n11936 34189\n30282 65339\n6761 70852\n12582 97790\n27919 46694\n26238 85840\n72061 77826\n48743 66582\n63975 75328\n70414 88617\n47281 85472\n11721 54997\n17785 78835\n71710 73827\n36313 80804\n90282 90996\n5985 18703\n57016 99156\n19945 89647\n2259 66997\n80299 80669\n34260 79224\n8276 83750\n35745 43565\n62542 67655\n30039 56034\n25895 81661\n32 50454\n77871 79313\n56717 97890\n16142 16421\n34102 35696\n24810 72260\n30556 77272\n78310 87657\n19223 31407\n66765 90876\n22256 92729\n77761 87596\n40830 98923\n76268 99676\n18605 27522\n47820 86798\n644 59664\n82856 91028\n41312 58236\n53893 84261\n21952 81503\n26707 79527\n72996 98429\n2977 48600\n67748 90084\n3886 56238\n10579 14681\n36964 41079\n24334 34679\n62142 98070\n2336 48258\n86711 91051\n17816 69066\n50590 50729\n28516 61245\n40392 67027\n76479 95046\n32818 39469\n6851 13215\n54667 88738\n28676 78200\n24766 55321\n90904 98205\n22494 32074\n34768 96712\n50207 56170\n25111 55728\n38032 72264\n52257 82069\n54891 76188\n73838 85071\n1256 63287\n19960 71463\n23229 88127\n97391 97503\n50934 73538\n68489 77355\n43829 63207\n7117 65171\n11335 72473\n7154 13555\n22598 70837\n68688 98613\n60385 91943\n45290 51084\n4716 63609\n26081 40002\n19833 48932\n20412 28529\n7879 37267\n10836 71279\n25879 65251\n9701 69623\n3870 22536\n12081 68725\n19159 23511\n61041 90344\n28116 45838\n68050 84172\n24291 97332\n17581 58232\n84998 94602\n9035 58956\n13466 62140\n26630 33688\n5339 44726\n25236 52013\n56510 65701\n81946 88853\n18703 65072\n23401 67132\n10522 87825\n20673 30245\n4191 56504\n68616 76761\n22777 42613\n8407 93546\n38437 68523\n7842 58420\n72923 80961\n11889 38494\n3316 38263\n9104 83310\n51265 89652\n78006 81172\n27975 98856\n56153 79618\n88829 99477\n43041 70836\n61824 87148\n48590 72960\n23781 42043\n460 28644\n7379 68012\n18556 34647\n10274 51075\n31147 45459\n33713 99051\n8989 48393\n22610 58113\n9919 94823\n33933 58789\n17426 48676\n72439 96034\n3657 91526\n61730 81093\n81937 93725\n48433 96495\n163 14452\n18805 42068\n8933 30312\n17835 64703\n50566 52245\n24167 44976\n25707 91199\n3482 40793\n17476 92077\n69874 70322\n30297 40531\n38921 93637\n37839 81230\n33867 88532\n68718 97333\n22564 35201\n6007 29472\n20840 41349\n8742 39229\n62842 81672\n4244 64965\n64133 84623\n11945 82045\n68309 96905\n49108 54099\n61398 69504\n62960 96208\n10334 41691\n1293 71967\n8878 98708\n27929 78094\n13291 51981\n5208 78280\n40750 54277\n83822 97539\n39089 84926\n29581 56225\n46405 99422\n38295 48869\n27277 31492\n2520 81404\n35358 67968\n5057 79719\n51119 98977\n2735 56145\n11148 86541\n58754 86590\n43545 62812\n76863 83208\n16525 39695\n30366 88803\n42990 89465\n58607 89930\n11182 40219\n49636 96462\n24949 58124\n34811 50911\n46568 73370\n15527 58517\n69926 85845\n13683 26993\n4001 32570\n64029 83728\n41527 81915\n4322 54934\n46535 62668\n39424 70862\n6938 84308\n44110 52192\n56609 83719\n76886 89612\n33906 54084\n23318 47182\n32547 35941\n28169 46637\n1066 72995\n48326 97516\n28726 33821\n1265 33671\n30524 33672\n13209 56466\n27348 30544\n79237 98201\n65034 70841\n21378 88793\n19759 74199\n65675 77092\n33748 83716\n74263 98460\n5914 35903\n57928 89183\n29168 65376\n1895 84471\n15409 99257\n43506 54096\n24492 84484\n23313 62097\n7196 41714\n10325 73186\n4475 69745\n38279 82149\n55751 85126\n68013 81385\n8186 20399\n13345 88270\n13562 54443\n32006 32463\n30679 39933\n14918 88877\n10794 59404\n9470 27223\n87864 99679\n15548 67098\n19889 32436\n65665 86780\n42338 72395\n85899 90616\n704 45434\n47923 57553\n34715 94959\n561 12213\n7260 66365\n50613 61018\n7728 24718\n3965 22075\n39406 95175\n23781 26404\n17930 44885\n67351 97625\n68417 85571\n8289 16264\n16202 28258\n45517 49711\n28209 31354\n47262 56151\n32416 52481\n26474 86224\n64259 83861\n50843 85312\n35200 66391\n3820 81207\n6962 11865\n17590 27836\n1560 82715\n25248 78818\n9093 21376\n56215 92203\n44528 77171\n6101 84484\n19068 20093\n53529 67783\n20451 85362\n22984 47752\n30504 56844\n89828 98089\n13960 15826\n37462 95831\n12581 82012\n54658 64286\n62342 68813\n80180 92032\n66075 77039\n18434 48491\n71687 76748\n36107 62679\n61286 99264\n32109 78310\n31395 41190\n1253 3582\n6558 36534\n34056 74822\n19464 83671\n17920 42377\n16423 90450\n11633 98896\n29436 67846\n23814 55927\n12282 87640\n49127 52813\n14632 47945\n725 80515\n73840 76380\n16393 50126\n8326 19544\n15780 39416\n3794 17374\n64160 72818\n12593 30942\n10002 17599\n76918 94597\n21629 35032\n21401 32448\n38298 92372\n28475 99139\n26352 52880\n691 22125\n17505 57294\n579 28345\n9990 24277\n18012 26345\n19065 27180\n70599 85612\n40304 68405\n31865 84679\n40330 76579\n48097 54303\n55033 87134\n1634 59149\n739 37268\n16162 80543\n14765 30970\n25738 33168\n76509 78165\n42296 90985\n32354 75599\n15030 46052\n20383 86569\n59558 99461\n3814 55338\n8335 45269\n47424 51756\n2601 29735\n25271 98101\n18377 57302\n5623 94344\n4096 16182\n3414 42311\n22485 95903\n82367 83903\n21650 41024\n83863 93671\n42066 48194\n6178 12734\n6996 18929\n73187 75984\n37374 96914\n75942 86326\n12827 29937\n73160 84905\n8209 60866\n17698 74484\n11912 77010\n59737 85379\n33916 55011\n63110 96251\n4751 92883\n31925 58776\n88168 94971\n59073 66364\n51679 66607\n42003 81552\n88251 94425\n13674 56562\n34364 77309\n69845 92363\n11892 79425\n19055 58358\n11423 35152\n72362 88916\n46335 81609\n3580 73361\n7736 70407\n41493 85072\n44600 82359\n34148 45755\n45028 56592\n27612 88359\n32248 51188\n24576 50404\n29174 91360\n49094 65167\n61732 65529\n12648 53150\n94771 97652\n48563 51507\n23725 70974\n3169 54145\n4721 23624\n58842 63536\n7109 89707\n39524 83466\n1262 34843\n39677 92455\n17402 96061\n35568 96732\n40419 86928\n55350 90946\n27697 73768\n64686 90042\n53792 95249\n1318 71760\n19432 57206\n58357 66800\n5121 9211\n37302 42206\n11829 76652\n2282 51059\n61250 89209\n50542 74988\n39144 80113\n28657 40945\n72105 95309\n58769 77966\n14745 65030\n20751 54841\n696 82887\n34332 97840\n57622 80167\n13946 59534\n42839 59968\n36111 53106\n79078 93986\n43432 93846\n76099 95265\n11367 17812\n60230 96463\n158 45060\n15 67607\n34578 97048\n80739 87935\n16653 27015\n33012 38676\n36023 54960\n21335 31947\n29366 81066\n29292 29417\n1675 86393\n56394 88275\n97374 99849\n87094 96543\n62906 98131\n14408 19647\n74744 74931\n8249 60227\n22597 23214\n23612 43197\n12338 90620\n31795 80327\n64157 92830\n59068 78860\n92767 96882\n9066 41162\n4186 86519\n94349 97028\n72574 96446\n22306 72810\n81385 89846\n33777 43572\n7396 9858\n15985 39721\n66055 87919\n60446 65118\n23030 38462\n48286 85396\n10232 95646\n32121 91569\n56211 91805\n84517 88711\n16595 52437\n60630 67724\n90525 99526\n14103 49413\n64540 84556\n56081 98933\n54920 58155\n5178 69510\n51566 86600\n57787 78194\n16225 51420\n7028 96642\n54328 59405\n39057 62418\n43990 87794\n12061 56847\n13858 20649\n45564 61265\n45726 91069\n32254 67147\n25540 44676\n5209 51324\n82177 95244\n11680 88764\n5720 27572\n8440 10824\n27349 66782\n26891 80766\n6146 25797\n34435 47269\n897 13251\n14093 35544\n65611 81922\n44938 57991\n30136 55493\n39898 87899\n42420 66843\n80284 97241\n64928 98486\n79760 80122\n28750 71896\n80369 96188\n27590 75195\n7392 20057\n897 92070\n4175 30943\n45508 73145\n58894 89850\n34269 75551\n9698 97399\n35091 45076\n17841 27127\n54536 54962\n33951 83702\n32026 88642\n27826 56902\n16722 30556\n69788 76962\n16 26079\n5461 34434\n34443 86010\n57096 69956\n71366 92304\n71604 96849\n10220 18495\n56079 86746\n10697 63645\n62299 82424\n18834 77790\n6347 99772\n13099 50344\n51659 88329\n24861 25914\n27271 36709\n6677 64253\n29787 42625\n5835 88867\n85938 93650\n3165 27444\n2559 78225\n32287 40237\n14610 58828\n11116 29532\n36382 36985\n25043 35951\n74178 75815\n6457 56163\n73514 78688\n2104 29055\n63844 65876\n18797 44881\n7003 68902\n18809 40103\n33666 79547\n1316 71068\n2876 53335\n12529 86694\n25043 25272\n21679 96553\n75854 82669\n19200 27266\n3220 87524\n92223 96101\n45926 98381\n19450 27077\n49587 99543\n15494 53584\n2021 64296\n48165 88226\n6526 20472\n10640 91397\n11744 64383\n38354 68480\n9528 78597\n66896 85703\n44285 85834\n20158 32419\n13540 39957\n8630 41338\n38155 82148\n18225 31893\n69810 74520\n15707 30507\n12398 16445\n9274 81320\n75110 85879\n1981 72228\n9081 85489\n86166 87961\n54882 89337\n8459 59997\n25739 34038\n1812 36911\n20916 45227\n10020 88394\n55370 74599\n32709 53698\n1787 89608\n56086 60249\n9316 80979\n72111 88618\n10593 82278\n49162 49339\n227 83467\n36639 88050\n38550 87476\n4946 31210\n5132 15707\n11966 88575\n19237 63146\n72785 97166\n61771 73984\n65367 69372\n84239 98693\n8395 19756\n77088 85694\n48408 62189\n30969 60548\n31698 86443\n48325 60290\n4610 7481\n16181 81204\n25066 29095\n75474 98142\n51946 63117\n6731 85342\n9133 25801\n30169 65635\n570 64446\n19353 27799\n834 98266\n10059 40464\n15213 96165\n9581 87019\n63077 82735\n3431 21182\n8919 94975\n49589 73147\n11918 27998\n51033 94073\n50603 71210\n80874 81060\n16826 38158\n28990 87063\n79897 89774\n28307 94210\n44697 92203\n12503 57240\n47176 81063\n86878 88742\n20390 27711\n6854 96988\n41753 69922\n59911 78576\n69539 89815\n14914 61496\n13318 82459\n33303 56277\n935 11077\n17443 75930\n38173 80411\n12499 30370\n23322 60841\n42071 48298\n6942 7417\n32975 45492\n48380 87261\n14626 43461\n64271 70409\n42068 85279\n60849 74016\n19104 30310\n34381 85637\n32441 45475\n13770 37066\n77815 92822\n10985 74411\n57882 84631\n7761 74776\n4071 58329\n11464 76392\n18831 79822\n15579 54255\n5132 24644\n7736 87982\n4420 72283\n1866 24995\n61520 81834\n19693 94188\n13279 16537\n43882 88678\n24016 24407\n58600 82272\n33368 80477\n29608 44997\n49313 93495\n20401 46069\n67706 88361\n49956 88098\n92778 96537\n27941 74627\n19621 77484\n61643 89811\n21660 96042\n10746 28549\n57433 68230\n39620 91025\n62902 71974\n16064 43824\n14007 92400\n1405 70112\n37489 90530\n40528 77966\n41052 76730\n45518 89067\n24054 63448\n21647 53678\n13605 17697\n44148 58130\n213 42609\n30975 86377\n5909 86702\n12842 35086\n4136 17583\n34198 59939\n14494 94743\n66304 79860\n37487 54485\n2385 44108\n29212 50205\n7408 14746\n19040 56542\n48269 52478\n16877 29562\n1030 27724\n28020 56325\n20442 45153\n48335 73875\n82251 99392\n5071 6376\n59202 73163\n67685 78872\n22827 31996\n13189 16836\n3212 51078\n1090 24093\n50065 77022\n58396 61543\n36493 71379\n66299 67523\n54853 78369\n9335 36853\n59122 59377\n89079 97033\n22145 87501\n27553 45253\n10379 91610\n6264 33488\n17640 54079\n71467 99357\n44213 83442\n62459 99813\n618 9401\n29491 57225\n52332 59435\n22887 41539\n69715 86045\n23658 84547\n22565 84314\n58116 81658\n73949 89495\n38374 92818\n34687 86773\n8648 40036\n50214 72932\n53652 64496\n42566 95685\n18098 37299\n74824 92684\n23448 27646\n57184 57219\n2852 55030\n33194 48347\n48225 90931\n55653 80208\n82132 93818\n37902 90466\n2956 95131\n60396 96525\n21564 95549\n59166 91340\n31228 40887\n60329 69605\n26652 52185\n65873 78204\n31241 89434\n6171 77428\n10955 56831\n15864 59208\n32247 57522\n18121 70675\n19685 52858\n10143 18837\n62240 75607\n32738 73784\n43309 85059\n52591 73352\n21365 37901\n7904 72812\n76332 98682\n27008 60528\n7510 78800\n48551 88546\n40603 89786\n12609 43648\n11753 73379\n55656 86943\n72103 95589\n36619 68766\n31955 46264\n48039 92576\n59086 69205\n28758 43554\n27986 29412\n33784 56070\n23900 75436\n21633 39473\n6568 23897\n14252 22459\n11344 77565\n2761 58152\n11272 86660\n10547 75659\n64046 67259\n24639 78795\n43950 60246\n17298 97825\n2607 84774\n13257 67761\n10537 49448\n21891 61759\n11804 54308\n20561 70531\n18761 54208\n8137 36109\n27589 87394\n53545 72480\n35952 40733\n29764 98700\n2224 70706\n45382 77184\n10339 69874\n3819 63782\n33383 95048\n2449 93706\n7073 59846\n1162 87424\n17711 34714\n8921 52532\n42396 90647\n51549 56216\n48999 76698\n5310 84268\n57342 82474\n24080 84229\n42234 96317\n86035 87934\n33958 50678\n51941 84592\n37154 64918\n49813 85173\n54462 70137\n6153 17738\n15428 22106\n56403 57639\n8335 73584\n4929 30001\n29189 66958\n48418 72574\n24824 68581\n50419 90972\n52025 61985\n24910 68566\n16043 45196\n60833 83809\n7912 36730\n1653 98504\n16567 35294\n3048 38433\n66956 99848\n61731 94379\n59474 95665\n70531 80889\n93709 94141\n33443 40185\n73539 86537\n28611 50827\n66010 79809\n21981 93059\n75231 91728\n31898 95258\n42921 61842\n66878 97104\n8015 93767\n74575 89306\n29172 72568\n3145 37634\n21126 85479\n32010 96260\n10597 93254\n25309 37515\n17485 30997\n13553 45191\n942 33367\n27644 37696\n58157 75602\n33668 89108\n25334 91397\n43297 73830\n11641 86836\n9108 31742\n15297 41057\n61455 65664\n22544 70644\n54560 74833\n26883 47515\n60331 63110\n11723 86231\n56599 73407\n551 8252\n48807 68122\n52079 79421\n38067 40265\n59262 95849\n74431 88207\n19097 91006\n10433 52724\n56423 75972\n24838 50780\n27320 48343\n14079 84382\n20820 95762\n30847 84121\n13688 44163\n24672 91002\n14708 32713\n46579 51415\n54185 71812\n81437 95882\n24164 73369\n33736 35608\n21051 97712\n63499 76914\n53788 65583\n35074 68543\n12425 59853\n24599 68703\n34957 98837\n32817 56148\n27045 73888\n5738 60253\n35446 66735\n15553 70432\n2453 12636\n2387 60787\n31760 45878\n40185 98391\n1970 56608\n64172 68125\n57573 90815\n43311 88010\n27813 35980\n122 89377\n57464 58784\n5760 49379\n29812 92479\n44855 65467\n59785 95368\n10369 17276\n25947 71260\n30798 65627\n6286 84777\n29308 42798\n28527 37571\n26239 58999\n42920 93298\n14716 61098\n22057 52699\n9943 72601\n53513 92074\n46120 81807\n8709 81041\n34904 46909\n53982 59053\n7467 78458\n36347 95477\n198 5983\n22377 24139\n11947 92778\n47887 95414\n57270 93901\n17237 68959\n3463 53101\n66170 81020\n7467 29692\n31756 41515\n29178 31147\n6021 86526\n10679 65603\n87624 91829\n55321 86644\n7801 89898\n14807 94631\n1070 33488\n29109 54599\n1407 3122\n2537 82356\n6300 99577\n27976 89826\n23105 51839\n26742 96596\n54567 96666\n27488 75532\n7278 67944\n49518 54978\n51509 59228\n41625 98199\n40396 52269\n5706 13046\n2570 41256\n40395 98820\n42336 87621\n9989 82612\n43359 49683\n25332 49078\n22502 40711\n35949 81211\n9704 69689\n90753 97304\n35984 86300\n15920 97384\n78003 87442\n15549 20026\n9343 27265\n22605 45538\n17154 21962\n77911 98962\n7651 31200\n75983 86336\n20464 48885\n47309 78595\n15730 29837\n23786 77268\n46487 56406\n30687 32171\n31562 69882\n80306 99326\n393 24805\n48526 94696\n2728 3161\n37846 83153\n13287 77319\n30406 84206\n24527 87575\n36459 40449\n11269 40061\n36946 61914\n10957 95764\n1013 18899\n31380 48821\n87142 99053\n51560 94599\n10414 79527\n5438 82411\n39160 64000\n3898 51771\n15420 76361\n16000 78842\n22954 81122\n52129 87587\n7140 60154\n21293 62643\n32512 98442\n2355 92031\n58110 85511\n58238 60508\n49233 65334\n69054 79608\n40537 52731\n18534 93738\n1730 51894\n7758 40623\n30889 48367\n4511 40146\n12967 45192\n4390 83565\n54420 73729\n12786 83548\n41986 92520\n74799 77765\n61496 78409\n91820 95072\n57586 93432\n57699 77537\n32636 74175\n54448 72951\n59967 97240\n9674 16655\n52500 99687\n17965 98824\n25993 34041\n22009 96839\n21129 72365\n83251 84126\n83373 85262\n74267 77248\n1624 82063\n8134 10795\n30980 70890\n37999 55320\n48618 65680\n31629 94542\n13674 77621\n8126 93093\n21441 95893\n26373 91658\n54116 88869\n77175 81109\n54634 79588\n58800 80000\n32035 73297\n29028 93271\n1223 13976\n8437 84637\n19449 98324\n88928 95089\n39467 81903\n27063 48147\n38598 41282\n93004 93505\n2326 70213\n69370 83449\n24860 45759\n62604 74386\n47313 64078\n10669 34992\n18131 51746\n25271 68113\n36953 64956\n3693 69298\n31697 81427\n40285 62849\n1308 8996\n27014 87259\n57592 81198\n13622 35872\n82578 84585\n7285 11555\n60658 66857\n20807 24504\n62461 91246\n27385 28310\n20813 43272\n76618 77923\n18627 51680\n7452 10626\n49086 88036\n10918 62976\n998 69272\n79971 94293\n757 89776\n9852 60023\n38705 97182\n17222 92954\n28807 73615\n21055 58060\n3477 23256\n33052 44924\n49647 53752\n21444 76530\n16610 27271\n12035 93493\n50949 73600\n13314 91189\n45544 53628\n75423 93658\n43279 59501\n13711 75107\n1483 63395\n18182 45175\n3275 35289\n34353 80990\n18535 75127\n10232 49158\n31446 91613\n66464 90648\n38155 94755\n42975 51169\n54017 93250\n11947 52983\n44032 79994\n47893 63385\n19130 71062\n13685 82198\n25118 90869\n51567 78585\n43730 69784\n12621 87051\n27265 56690\n55465 93910\n61011 70653\n11002 21886\n21985 65233\n63357 82635\n40297 83312\n50888 89072\n23956 46843\n16725 65135\n20657 91917\n2583 74941\n19997 69984\n7902 95293\n15462 84063\n1293 57908\n32587 86916\n49171 66129\n8037 15446\n56472 91490\n27518 70744\n12012 40416\n24664 84388\n91499 98090\n10157 31931\n37464 96153\n31450 88573\n16377 38178\n1906 9594\n61982 63922\n4954 5455\n22300 65903\n39436 41473\n82046 93739\n27944 37276\n19252 65396\n24381 41921\n32560 35731\n12984 65627\n12930 66277\n22160 63528\n36425 42794\n21911 53274\n12201 98566\n35954 73998\n77647 78450\n2867 84712\n40635 67020\n7849 50171\n55001 75086\n22857 47254\n26322 54548\n49196 59548\n50955 67186\n18511 36992\n23259 58797\n5654 19336\n31767 82810\n5938 50062\n13602 61222\n30479 38902\n16340 20947\n35571 63414\n27024 90567\n16573 71101\n35591 99152\n458 75980\n41951 80613\n39728 64176\n6337 43147\n5428 89514\n28725 66132\n59180 97020\n10861 30679\n31145 57897\n23800 96266\n85126 96832\n38185 42880\n15051 19536\n51710 89618\n38758 96938\n3169 51864\n20315 32442\n6078 25995\n62946 95720\n77729 92622\n15537 68534\n41183 81770\n33872 46610\n28688 56911\n23656 25645\n76248 92194\n32313 79987\n54447 66067\n70724 87850\n34484 94421\n82821 84850\n62431 73497\n35167 44396\n14985 97063\n74185 81071\n9877 84327\n71548 83541\n4769 77270\n6595 54323\n39294 55611\n16005 59297\n17712 31767\n32733 69765\n30064 60742\n9497 39610\n10356 95153\n6953 69138\n8863 31607\n14710 62150\n26300 61549\n69321 98174\n7934 68388\n16221 60889\n26998 76796\n42262 65802\n81452 82209\n32639 82087\n47470 69129\n15375 86876\n16475 65921\n19072 46520\n48315 92483\n5875 6493\n25066 33835\n89680 97963\n59553 60281\n18390 79755\n52603 99461\n18674 42071\n26936 70620\n14862 34287\n83414 95589\n56300 91401\n27691 88905\n33399 96304\n30095 65897\n4112 83641\n13992 89468\n37055 41024\n10568 93663\n66081 98197\n10345 17613\n25240 87355\n9897 35432\n34981 87621\n64396 74184\n29929 48527\n26253 34074\n8360 35052\n7562 43357\n29320 71709\n5597 34554\n5391 16162\n3454 79043\n96562 99040\n6518 34574\n22718 65213\n16671 66948\n18650 30589\n9311 48570\n4745 45655\n6802 96369\n13612 89725\n1463 49437\n16964 53996\n39225 56636\n16290 94731\n14013 32929\n36691 51774\n4109 44030\n5743 95469\n7172 85118\n45748 97180\n12214 30366\n16875 85889\n14187 85514\n45665 69102\n31950 45153\n4037 68748\n53250 87607\n12698 25010\n16817 76283\n68973 80832\n1082 85687\n31012 49131\n90770 99622\n61719 71613\n5214 18085\n63396 77452\n8887 10305\n63519 83144\n10014 50993\n28950 51212\n21033 95336\n46291 53636\n19422 56529\n208 86618\n66428 71000\n7643 50029\n47746 82033\n688 35771\n51379 78379\n61635 92554\n10833 93403\n14990 40100\n35866 50703\n36093 85062\n23112 83744\n7718 26382\n50851 74362\n8822 9270\n10544 18136\n46731 53614\n50915 92062\n11998 63971\n391 54312\n68995 72712\n54929 58478\n44046 51482\n17339 27791\n52513 55679\n48670 69366\n55228 68959\n7293 24133\n12822 94469\n9603 76191\n18547 82591\n3273 70217\n6384 59655\n4983 81466\n16618 24616\n59575 93567\n15161 29764\n83688 86584\n2414 2667\n21979 40933\n22554 24809\n42120 63893\n14383 35264\n10298 77112\n8545 80011\n23762 65953\n82103 82389\n37695 69314\n45100 79365\n13138 76646\n18758 97786\n19881 91927\n5014 44944\n41409 89332\n25304 95062\n33280 54675\n16404 82079\n51915 67330\n26453 33620\n64456 73106\n53376 84609\n55962 81267\n67274 88308\n78277 94070\n20444 59004\n55624 83065\n3836 95235\n74471 78554\n66161 72917\n19355 76163\n6197 39292\n17401 82320\n45795 82283\n78858 86852\n39160 97372\n7868 34862\n14007 45175\n38426 91591\n18305 36437\n19248 21876\n10133 36370\n13858 56665\n15574 65919\n24069 78120\n38285 44163\n49802 93214\n9920 23143\n16206 61585\n37641 40683\n25650 54724\n91849 97018\n7362 83415\n53455 74549\n3281 20328\n89736 96856\n16783 37129\n50519 90523\n31238 62700\n39435 58059\n26528 93153\n8063 27347\n40350 47279\n9000 88310\n2651 36527\n13268 98548\n40997 90050\n36597 60048\n52443 90325\n66667 82991\n53587 84289\n66329 69005\n52395 74143\n80656 81165\n74569 74990\n32545 64693\n76326 89329\n19760 39615\n10263 29778\n1661 29650\n24078 29317\n58724 74821\n5058 6821\n38951 54393\n71832 89082\n4288 53181\n56979 71143\n56266 97499\n37458 97009\n19740 70788\n36437 99207\n35373 93735\n24051 86317\n21595 69608\n12497 78888\n61212 84079\n9939 28403\n31160 36318\n2553 17352\n64404 77048\n67033 73074\n8381 18796\n5502 76277\n47464 70288\n24717 88774\n81994 89759\n48564 65476\n20533 96274\n25072 27631\n61850 93736\n16479 75045\n67328 67560\n79895 93868\n19902 40191\n16532 79525\n10479 15599\n40262 60778\n4604 77863\n25449 25867\n46540 65180\n68321 79511\n94411 98094\n29010 42843\n21216 98362\n28730 72283\n26640 31130\n1955 94258\n65136 93954\n7464 34730\n10435 72928\n72163 84481\n3000 24956\n64057 77916\n35061 46283\n59801 67461\n16475 99594\n76245 82711\n75002 94485\n69186 71688\n57857 83346\n57897 84917\n16853 62641\n5758 18971\n5980 46704\n40545 83706\n46937 80589\n20266 38572\n7425 72564\n32510 59460\n22329 30259\n12830 59215\n58204 77997\n59638 88975\n13887 99385\n13752 44474\n48600 58943\n15403 85396\n53379 58278\n13249 87144\n17476 94217\n80309 81424\n13225 49140\n27603 50697\n49519 88743\n46047 88458\n46983 86037\n17974 94520\n60366 68537\n27938 65823\n95025 99997\n6464 63434\n15244 72704\n7436 82036\n8983 43872\n81979 83029\n38317 69269\n69048 69101\n19688 31891\n36527 80779\n77526 79182\n48510 78174\n4930 28436\n35709 85689\n73674 86912\n55539 71900\n66956 79044\n1963 13056\n5815 43934\n72754 75632\n2103 58267\n22388 95181\n43803 78751\n57317 96433\n22889 81824\n19070 89883\n80996 81641\n67566 80144\n9986 44862\n60414 93517\n50885 75135\n5660 80430\n30375 43587\n3651 67439\n29235 68839\n10173 47573\n67073 84497\n44229 62188\n3794 16804\n30509 53439\n38021 53948\n53825 94205\n52506 97611\n14631 71337\n4705 49106\n9338 24847\n4838 48427\n10447 35196\n19723 36519\n53966 59125\n26031 48971\n8328 68885\n34697 94371\n78673 96675\n42258 94759\n9597 64382\n38854 75409\n23040 41322\n20762 96078\n49500 73458\n76410 93852\n68267 92279\n64822 96670\n23936 86895\n34454 47074\n70636 77167\n40211 59149\n22305 52852\n76716 96577\n49960 98046\n58134 84212\n21127 83087\n4169 93170\n57896 82234\n46588 52756\n27615 47290\n20510 97737\n40997 74897\n19922 52489\n33445 38303\n17745 82350\n9296 98383\n76608 99767\n127 87953\n86778 89520\n7956 60635\n14756 76910\n65290 71104\n27518 85060\n12580 23948\n10789 22836\n34856 35239\n54051 57934\n17349 93135\n54333 82789\n32027 77192\n906 52719\n11758 89756\n28906 76763\n12851 17247\n72753 98669\n20505 34764\n51324 52143\n70483 99686\n33034 49643\n36185 39779\n12573 55344\n53348 60116\n42087 88664\n60598 90849\n39372 75767\n52605 86800\n20334 77165\n20924 38459\n21597 41346\n24683 67286\n36477 74076\n24421 78654\n19580 81539\n62404 78348\n34007 92312\n14341 75940\n75690 92704\n17656 63700\n32666 87038\n8837 65775\n36112 74816\n17293 85011\n22531 39410\n14645 55490\n340 22063\n9934 36303\n63340 67926\n5679 45600\n54394 71861\n4378 34784\n71227 76019\n32899 72141\n69962 92803\n36786 44574\n11550 96741\n17108 17937\n7351 65313\n1573 73493\n3884 28835\n86328 95556\n1041 56886\n33959 35010\n25244 47765\n14956 23857\n21236 33149\n29153 32406\n16413 83004\n23177 82553\n2871 50886\n57185 91150\n28662 95503\n37646 99737\n10032 27569\n31416 37710\n67287 75771\n9681 99620\n8970 75256\n59406 97007\n41336 45791\n31261 47986\n30496 48959\n45840 49188\n43335 65152\n59368 69208\n18285 77313\n28510 60110\n19495 69799\n23116 54533\n54547 89484\n27801 59271\n40501 96938\n6298 32027\n48064 99037\n12918 62065\n23759 37320\n46269 87887\n65885 74367\n39895 60001\n52883 94757\n38359 83740\n44483 81596\n28487 89409\n17539 17913\n4849 56515\n19860 26685\n59992 64567\n77717 94938\n52494 56269\n37744 67263\n29258 74472\n39700 83751\n11525 19191\n4275 74218\n13338 25126\n52923 57602\n23184 51151\n4784 82853\n26004 36889\n17163 96250\n65048 65881\n43215 53336\n94114 97402\n11598 31727\n33872 69697\n30738 47064\n55146 77021\n31842 99719\n58071 97855\n27326 57614\n48348 53657\n15201 98746\n27218 37937\n3163 63175\n63606 77283\n44888 89969\n42654 46835\n75195 75378\n59581 63765\n31138 95196\n89357 93572\n92 84578\n34529 84585\n55010 91663\n20814 47016\n88572 89765\n14399 54427\n8545 47890\n3010 43375\n34911 73552\n78175 79318\n23800 33036\n28334 64141\n39491 75376\n25056 26711\n65388 95200\n84080 96840\n268 37124\n20397 64252\n80789 82978\n3922 19898\n95785 97703\n6328 86336\n24573 46372\n10471 76730\n1961 31329\n6697 13958\n59218 84294\n15732 34203\n11734 43302\n38538 86810\n5418 93086\n541 7445\n12121 47121\n47974 77249\n21812 51430\n30721 80621\n4829 46488\n38065 85684\n60427 79501\n86363 96128\n3616 5751\n3403 66033\n14038 51847\n87754 94010\n9381 39234\n1441 2450\n27879 81221\n47741 61881\n328 32204\n60493 65935\n444 60587\n56863 76303\n18747 50330\n3465 31629\n45 59966\n27532 29005\n52686 82172\n28490 42961\n11842 38907\n41967 73848\n23748 50278\n22589 47642\n68526 92301\n21387 63709\n52510 55983\n141 51527\n35826 51898\n10838 42207\n6775 79542\n7191 92281\n6813 39501\n61175 99692\n37493 59796\n27871 81556\n35984 70508\n20917 59612\n62544 66914\n51918 57115\n21195 48878\n42084 49466\n34295 74732\n18063 72819\n72471 88854\n38369 82324\n79808 94407\n19896 45041\n67045 89513\n18436 21424\n4629 79823\n36168 43147\n14748 28449\n33774 86688\n11928 31530\n9229 37908\n12143 20752\n23726 68277\n75993 90895\n61747 69871\n22409 57690\n31474 38528\n64518 70136\n13205 68933\n30963 73395\n9012 97022\n74134 96443\n26155 39258\n13191 61257\n27511 44026\n22602 81350\n15272 19623\n38547 68940\n28068 51376\n49273 99811\n84825 87373\n50079 76252\n81266 92969\n41357 63285\n25624 51550\n3955 91082\n71073 87349\n25898 71223\n8879 76190\n26890 87824\n8627 72601\n41198 89308\n66816 70472\n22573 37604\n17742 18363\n27432 82500\n39603 68934\n13088 33640\n64861 68896\n35509 43557\n90313 95711\n48422 60185\n796 6399\n23237 47844\n6398 85268\n16538 27514\n24520 41323\n63123 64722\n52380 85725\n53996 70860\n27347 93919\n10801 83081\n1040 39840\n63284 99072\n20533 95851\n20882 72572\n14583 54622\n41104 58824\n82636 85579\n50981 65978\n72780 95779\n15488 98087\n21209 28618\n59296 83437\n42087 64357\n20761 94563\n50544 80144\n19520 88074\n2043 40243\n33822 79741\n22585 37323\n483 18819\n23000 70810\n3354 94767\n53415 94866\n64130 79432\n18226 79104\n41729 86804\n159 13748\n50864 64630\n50984 94313\n2439 41684\n5605 22485\n56386 66522\n33057 93416\n14528 58155\n12402 71346\n6030 51987\n37651 77327\n54227 69392\n71812 93838\n43205 87685\n9420 98729\n27458 89310\n14010 58187\n39644 94782\n12420 70456\n35548 96367\n10978 42497\n3253 37712\n35221 84738\n26204 90446\n32667 41983\n19970 41481\n17881 71127\n22457 78859\n14570 71816\n4596 21737\n47919 64051\n13492 68100\n28382 55773\n8498 40452\n55095 97692\n12277 34004\n36734 78410\n29110 72303\n9778 54742\n21709 89446\n3080 91234\n64589 80565\n99260 99859\n20202 81767\n20598 94355\n17851 89931\n35894 53235\n21225 96344\n79578 90717\n58181 71868\n26819 98916\n48516 97226\n49590 88602\n47922 67261\n67721 93213\n4408 38507\n8359 27125\n59724 79467\n27716 95875\n83005 95032\n4003 74956\n46645 68641\n12134 58588\n21692 77817\n656 56355\n11157 20974\n47013 86730\n49928 75921\n56166 91102\n25633 96073\n18209 69421\n84635 95859\n90131 98278\n41376 62867\n12044 27100\n49148 72029\n28481 45648\n60103 98340\n24169 71391\n69594 74485\n40990 67900\n23820 76297\n26984 62221\n61938 79046\n75853 80941\n27535 78730\n60685 92656\n3556 52430\n16310 63795\n12368 92438\n62989 65890\n32351 38943\n10177 68585\n25146 99731\n30735 60942\n35250 83099\n16407 42608\n34238 94809\n36784 40075\n75761 76405\n41241 89925\n50014 94915\n41888 61788\n4489 20279\n72301 83622\n10921 62256\n22277 69271\n21759 86573\n45520 80868\n68791 84832\n75192 92081\n79615 88511\n81138 89620\n55910 93593\n75570 94308\n63478 83627\n1164 11053\n9698 26083\n52335 70766\n36344 48758\n11116 13093\n32291 39369\n42747 85974\n52739 89982\n38010 88705\n58275 66630\n85091 91420\n46341 93490\n19560 67422\n19182 57207\n30886 42426\n19608 50597\n25793 74375\n19590 67949\n50217 69635\n29720 46060\n53898 91607\n25358 61883\n53026 82637\n7497 30965\n23028 85092\n18528 50769\n43236 71780\n21009 40901\n53111 81734\n34316 68047\n67364 78785\n38685 52839\n83878 87702\n29190 96287\n4895 45419\n38327 53313\n31524 88712\n22725 30966\n29912 42100\n67520 87444\n16182 75689\n29040 60543\n46862 77311\n38347 83935\n8419 29319\n7786 77345\n7064 99835\n1754 95645\n44411 76539\n55454 80793\n34621 84854\n12536 13115\n35053 56967\n25426 89807\n52948 82842\n21262 93702\n44973 96819\n26273 88504\n6245 93543\n37373 94172\n42870 57145\n9775 49420\n32513 46506\n2971 8923\n30935 74134\n27649 97629\n80420 89193\n26236 96057\n41204 96255\n33938 55459\n22806 69296\n7492 61913\n2523 15737\n24102 86950\n36134 88939\n29449 38790\n60518 89077\n42899 71038\n47016 52752\n47717 94153\n30789 67960\n15362 65892\n6691 40496\n17641 52865\n52767 74329\n16046 95846\n12928 52535\n8034 71111\n7254 34059\n20633 53516\n55772 77907\n2135 4044\n18592 68106\n9616 48313\n20958 92400\n39067 65816\n26227 82855\n35367 48862\n4011 70008\n23730 39173\n78499 84738\n37840 85794\n48303 70382\n3633 48510\n24793 61381\n1837 90972\n63568 65078\n19024 31477\n24356 94801\n6739 74203\n39398 82035\n83478 97005\n51806 67589\n61399 68322\n90133 93190\n54956 90408\n18137 22564\n3403 76242\n20720 70360\n17623 97654\n14748 74198\n75736 77799\n69848 74910\n40093 43012\n71171 95203\n25631 69916\n4414 70510\n188 41624\n24643 96442\n31965 50819\n30650 64669\n5511 76851\n78586 90837\n39231 65928\n26510 38524\n50910 81359\n62001 85466\n54968 87142\n85851 97115\n37221 46714\n7267 10521\n2645 53194\n12008 99423\n66115 83051\n50703 70646\n80374 93728\n70432 97096\n49304 77460\n8208 46900\n62224 98014\n25117 57492\n24018 66572\n10536 65873\n16640 24794\n31018 97678\n46754 66893\n35595 85303\n52705 65519\n40134 75027\n28580 53585\n18072 55377\n91917 98201\n978 45492\n57849 96898\n16450 52575\n8110 27269\n1194 52568\n70969 74202\n10385 70841\n50666 95737\n47424 98401\n81028 81449\n52059 53052\n1604 76397\n45209 74728\n34502 77007\n4022 32636\n23554 39449\n21634 64393\n57317 61319\n29686 97071\n30499 39428\n580 89616\n19629 60093\n13837 76294\n76940 90626\n34024 74526\n25503 78697\n81351 95969\n34375 38060\n67410 75029\n43705 77806\n8935 10815\n11827 50712\n17702 65189\n52152 92738\n18642 41519\n8285 78236\n41047 61046\n28651 50964\n40479 60378\n2444 35818\n92559 98968\n31385 40363\n25433 77549\n17205 29062\n35005 72667\n47102 65977\n57600 66436\n62740 63910\n13648 51297\n68486 90411\n1018 90279\n23395 40072\n23251 98489\n82628 97344\n48299 71818\n11210 44502\n389 37851\n79165 87483\n34554 81513\n51894 60612\n39715 63376\n20744 91329\n25956 71964\n35094 82424\n3094 26705\n34531 65770\n47394 81831\n16998 87630\n53158 64676\n27005 77949\n22161 26884\n17780 61067\n33070 86191\n7590 55462\n15162 52502\n37808 40553\n4738 36605\n4636 31268\n79714 91218\n10140 13125\n19603 58052\n24664 73817\n13051 32669\n24935 51427\n21136 51818\n61652 93837\n81480 84562\n60268 75190\n21170 86355\n17682 45032\n60241 62860\n22836 79600\n7362 49244\n6172 37064\n77237 80639\n11134 58957\n470 36303\n60774 90383\n14662 38605\n85844 86446\n53463 54735\n2407 84199\n39803 85233\n2317 9866\n38227 88849\n5677 85710\n1682 95918\n13491 15251\n45819 47272\n7003 56501\n28191 94787\n22735 68757\n33671 88033\n86400 99689\n20336 39128\n48353 81854\n83777 88445\n56011 73389\n45669 49497\n41222 79564\n3008 70151\n61449 78763\n393 30905\n63352 76144\n15175 75387\n6715 50145\n7512 20063\n32543 36543\n35961 68330\n14149 74102\n52293 73114\n716 70316\n14880 57429\n53632 58978\n36010 67022\n19475 26082\n30303 98843\n55829 74303\n64754 79542\n62733 87759\n18206 52658\n3004 40754\n46704 76434\n19613 44285\n14063 76924\n49792 49944\n25435 98932\n35590 48173\n533 84298\n80027 92623\n34573 72559\n19255 41958\n73795 76624\n44982 97512\n32752 85044\n38863 57102\n67077 80162\n10384 92344\n94770 99092\n35677 76388\n13877 92749\n8437 23441\n17767 79270\n72698 82479\n42 39696\n44748 87677\n18030 31757\n79842 82737\n83268 88109\n44028 48907\n17941 32595\n15686 65740\n55761 82476\n28992 64223\n90177 92877\n17993 65799\n14960 60086\n13796 82077\n2533 28294\n23014 76748\n800 34865\n64086 85107\n51984 89822\n12854 64116\n63229 71810\n39320 88524\n23350 26383\n49628 88285\n23768 82904\n61237 85980\n16033 73446\n87831 92072\n10137 66426\n17834 46530\n39627 47991\n76 46092\n30219 71683\n10959 72181\n7222 13944\n75323 80273\n35987 40327\n33180 58638\n62910 69916\n19902 65140\n67584 72791\n34218 60623\n40347 59348\n32369 67674\n1337 77253\n23694 84757\n16494 35683\n1122 21077\n677 28549\n13643 48605\n11046 52347\n80012 93269\n16482 82269\n15944 47642\n96110 98910\n13872 14710\n12133 88602\n61588 86247\n53320 61588\n12273 49404\n93872 97519\n4039 94451\n27911 53197\n26160 39507\n74 71579\n75195 80806\n16741 65640\n91505 94025\n31375 46196\n18251 79815\n10419 55415\n22436 51230\n22442 32440\n21071 92898\n36922 61352\n85882 95556\n13486 46121\n61853 89997\n11420 78263\n10657 12586\n21073 88437\n58495 87317\n64125 67173\n17813 91724\n47409 48040\n4202 76441\n39808 59972\n36387 45668\n65070 76631\n45236 47762\n50250 53050\n26294 80399\n68322 99302\n66268 93993\n75111 88663\n17059 92332\n38370 91531\n21666 38246\n16703 65799\n2910 16292\n7677 83276\n20549 21597\n24809 34345\n10607 56913\n23550 61326\n10254 51056\n73687 93199\n2816 68317\n33132 80674\n34510 61741\n51111 77397\n25157 28636\n6087 59740\n43721 62263\n70721 93371\n22801 74416\n31263 98234\n84229 95756\n13101 64069\n19160 28028\n60934 71068\n27790 77394\n77515 95184\n21550 93781\n42357 43116\n44923 68613\n26332 70919\n4078 39978\n28516 64156\n24286 45751\n16726 29709\n21109 94841\n63435 98027\n34715 37379\n22519 29946\n42437 48685\n19140 63363\n51677 52713\n8788 48719\n71395 78126\n1036 59369\n93206 93726\n17917 78850\n70360 78528\n17477 21737\n40177 68122\n96799 97738\n9713 50555\n59420 65975\n3134 96833\n26417 50924\n66170 77563\n35406 49549\n1767 74028\n42710 50183\n30080 52626\n6606 16270\n10347 69458\n1089 24820\n69492 87088\n52720 54338\n52427 80981\n17365 64941\n30312 79105\n24010 24749\n16501 53151\n37230 74461\n25699 38503\n64375 91859\n51102 75118\n25189 73306\n4342 85135\n49573 52429\n6187 70035\n41865 75193\n5414 73114\n42259 66816\n36130 77825\n46542 73315\n2905 19389\n4811 19917\n57624 60360\n14217 48157\n8105 59492\n30984 32541\n6524 64997\n27290 37616\n44814 90190\n88443 88618\n32433 52489\n8193 66596\n67812 89094\n17365 71895\n8594 50078\n25304 81437\n49481 85545\n29439 41222\n28964 98735\n7789 70471\n39493 62239\n58295 80394\n3660 92241\n4981 59034\n30012 48852\n17245 81875\n39667 88088\n4395 39657\n53691 77948\n1511 45466\n44017 78781\n17107 45857\n4913 20807\n74683 81626\n46945 85239\n15603 35355\n24884 58642\n35169 77413\n42527 85077\n39582 83549\n12724 83735\n14754 37446\n30638 50833\n36160 40661\n31742 42087\n36207 68527\n59694 67165\n5258 19975\n67123 70427\n51674 55408\n57530 85717\n26761 75482\n46467 75099\n7991 23328\n15784 68265\n13426 94304\n67250 98372\n14804 60628\n38513 50706\n21866 44984\n17534 54709\n4450 47276\n51899 78000\n72955 79577\n8082 90294\n23978 58155\n29504 74137\n16069 61272\n10492 77425\n15937 80150\n3774 54566\n47685 76693\n27913 52186\n78551 98478\n76571 96282\n18772 83389\n49881 86078\n10347 68593\n53765 90633\n52524 70679\n54896 58835\n74446 89152\n43157 81465\n57484 90382\n8770 14688\n30946 59030\n5958 80902\n6329 29546\n13479 39201\n25469 52840\n1209 63576\n16998 79194\n28415 67473\n456 77735\n8447 14670\n6563 59553\n20734 30040\n8 8296\n7969 73266\n6790 78194\n2556 84241\n11129 63846\n67397 92690\n28079 31448\n26755 80981\n81751 92206\n15825 37298\n3916 18362\n61681 84496\n10420 16238\n2417 54867\n43401 56518\n5714 65857\n34143 93567\n7007 83281\n29382 50469\n64351 87527\n12527 32798\n79932 98599\n55165 63078\n8207 55968\n28977 65544\n11094 53109\n8665 31306\n35905 73541\n11411 96692\n37157 65220\n56271 57174\n46265 87198\n27853 91944\n47665 62922\n15604 99203\n96400 98694\n2571 26936\n77941 85291\n532 87264\n45051 90545\n82157 94278\n14184 55496\n94959 97521\n23869 76249\n75110 78375\n62348 91731\n52120 81676\n18874 98674\n6258 81897\n18806 71418\n82544 93323\n1176 29752\n7811 76215\n1768 26228\n40934 54000\n56704 58479\n8610 74418\n75372 95603\n29114 42459\n22108 93384\n19813 76281\n31325 49983\n46931 66050\n52510 67719\n33770 39827\n48565 92353\n55143 59850\n78665 83387\n42816 70254\n88878 99426\n1719 9826\n24180 40157\n49115 58089\n33546 57774\n32784 89985\n87353 93846\n70037 91028\n8195 76567\n7667 40961\n35112 69004\n26568 72277\n7984 80366\n43671 66103\n57494 96326\n38256 57557\n25072 96902\n10665 11798\n29999 35791\n73020 89898\n31155 45434\n25783 67547\n21187 51204\n48220 81407\n8208 29333\n28764 61751\n31200 56094\n55661 96462\n3666 42174\n37399 45895\n35615 51064\n88377 99716\n802 36469\n30788 63801\n4029 61404\n44207 92550\n36980 82310\n42773 62187\n32366 89959\n5054 95182\n149 85916\n23909 77276\n41798 74136\n12711 15996\n14455 23219\n9642 70697\n65222 94998\n23955 26844\n72155 97909\n26969 99928\n75901 77670\n7375 52659\n8006 69609\n52160 74070\n41217 48396\n39393 68217\n12509 88738\n34025 67151\n59812 67036\n45107 85197\n32421 82661\n38296 68744\n67057 95902\n72136 97030\n58420 70952\n45558 55473\n6716 76723\n54984 72452\n7357 13600\n44619 61803\n31751 54038\n13230 90355\n58404 70909\n12230 36190\n25524 36002\n51842 74674\n23323 95071\n44340 64359\n66305 84983\n61593 95251\n46991 52511\n4157 81573\n50120 88685\n2901 46607\n31128 44026\n10109 78768\n18641 66874\n10424 22378\n18622 39046\n9539 98502\n14526 27132\n5192 56285\n36027 77284\n58266 61354\n33861 60266\n93236 97052\n19971 47183\n2343 59062\n16449 74730\n5691 75345\n11822 71021\n17399 68064\n13050 25475\n2706 38540\n11945 30586\n31614 62754\n26890 60562\n15720 24244\n9112 35604\n47242 81650\n61841 81799\n23150 60536\n79002 80365\n8735 92213\n2493 72246\n78852 90802\n14225 78539\n15155 45572\n5482 28879\n25535 29335\n34701 93175\n45023 64026\n8862 58599\n26197 67461\n63334 81570\n22293 68238\n18162 81453\n3999 96874\n62426 81052\n10961 87153\n22611 42648\n15420 28491\n56959 73625\n28393 53802\n55144 83160\n36538 99795\n28710 84087\n21290 82255\n53131 60853\n21354 76514\n2767 25034\n22462 43440\n84317 90403\n22003 89148\n10683 41543\n7144 61470\n45580 74430\n7604 69629\n71968 84081\n67129 73896\n4078 36102\n3413 78785\n39397 88678\n45642 57148\n62002 72562\n23170 96278\n35850 41410\n52292 89440\n3063 56659\n15201 51762\n25904 36365\n12557 23159\n3464 89048\n21726 43277\n21775 83449\n39474 68117\n50141 51968\n32483 63292\n42806 60957\n16286 97659\n20203 23064\n17688 27365\n31706 72196\n36227 39875\n27139 95545\n21193 27589\n30432 70357\n59089 59547\n41897 53056\n1094 15000\n64158 79978\n65172 99583\n50575 89359\n38379 96732\n46283 70453\n3071 48536\n26387 58540\n10407 26042\n45551 60973\n51007 79085\n54391 68914\n33384 66717\n23158 34654\n99726 99734\n10842 35231\n67286 95435\n21042 66096\n37080 85978\n16943 29908\n12473 78745\n2892 84817\n16198 79625\n50115 66848\n37944 56780\n25721 34124\n16183 36160\n11008 84121\n6839 78675\n24001 78756\n20327 40245\n35513 69294\n84305 86526\n23925 42207\n41232 86019\n49645 65466\n37847 41621\n13304 31288\n62042 78750\n37364 76247\n30480 37613\n68365 85761\n40145 72991\n38102 62966\n34308 76046\n15462 50213\n9967 47612\n45685 61014\n32881 44557\n2190 94943\n41035 53795\n10165 17007\n60884 93896\n34445 94095\n41863 72956\n710 81393\n58034 90060\n31215 34576\n837 10951\n1992 71047\n6363 11846\n11995 83180\n45559 57686\n57226 64259\n570 46365\n62581 96825\n61885 65467\n21672 27415\n7392 50008\n806 40917\n36733 70984\n12690 48565\n41411 84779\n9678 95953\n14267 94982\n2960 11720\n49931 91728\n4163 72343\n18572 44468\n28234 49044\n1022 24378\n29052 62877\n34537 72737\n31082 65184\n7222 56733\n1805 94699\n20162 87067\n51242 65687\n24988 53533\n11688 95146\n31194 71170\n69313 83586\n67544 67821\n51224 95842\n37597 47003\n17715 31167\n48191 60594\n26900 84222\n22913 70452\n15497 85578\n34588 89636\n80896 90411\n28212 45088\n55239 56134\n59326 60863\n11346 91338\n29358 40944\n84863 95769\n45864 75105\n87270 90944\n45209 47641\n58508 70486\n5267 93551\n37765 86902\n17911 67833\n52514 88407\n1035 15186\n15657 82731\n65061 95940\n1735 11796\n27885 77249\n37457 86016\n51154 83712\n6232 77798\n14422 37772\n26040 63403\n75543 91135\n75007 93190\n21766 26751\n5735 22585\n26695 67124\n67102 77602\n28416 88995\n22682 50475\n80453 92182\n41987 43925\n24905 83779\n22943 48034\n42075 55351\n2422 3136\n46512 94850\n28540 74666\n18303 98777\n7129 80986\n9454 53200\n4564 26830\n487 20130\n17284 45582\n78247 96082\n68455 75784\n397 50172\n16109 97719\n12850 86902\n49251 79252\n14055 19948\n8698 73931\n11004 52717\n278 81265\n22145 90451\n1542 84636\n42823 97237\n75523 76309\n72155 90515\n61155 61528\n13051 15016\n29711 79788\n9637 73800\n66406 97884\n15174 37585\n51272 58063\n8827 51153\n31481 39526\n43907 66382\n9472 34303\n68853 87584\n52967 57887\n26715 46657\n11654 33961\n27344 39227\n2487 93941\n15709 25674\n42306 76908\n74095 86644\n10164 46585\n46339 81131\n30935 87462\n52576 61423\n56227 63826\n59676 76830\n65708 73049\n17749 59309\n43607 73398\n45921 75379\n26820 55810\n32198 78650\n11592 33388\n76540 98807\n57425 78901\n42360 79094\n13403 57760\n45473 45881\n45028 49487\n46734 58043\n8753 56430\n3520 28497\n8167 21747\n38538 62249\n27708 68169\n72834 80424\n42009 62342\n23335 69272\n5695 88359\n1245 12441\n25239 83156\n23070 29799\n22006 67803\n55672 61093\n49515 52468\n13715 20401\n8856 80795\n45359 69972\n9418 80287\n18601 64146\n66865 84457\n35989 65043\n37762 80362\n27024 28051\n47737 66115\n15784 57537\n21648 35286\n6389 14050\n12822 44834\n62254 85438\n20695 62020\n45555 54065\n56350 64687\n60563 81083\n42821 49735\n22933 62026\n64978 97036\n84907 98973\n32031 34786\n26944 80643\n40025 59160\n35733 37650\n5721 54035\n51645 66820\n72324 79709\n81425 93313\n374 84605\n15945 62731\n18074 34308\n8022 69568\n51717 96730\n31156 82093\n79373 90603\n6482 58006\n46986 94511\n37817 94362\n38021 58364\n13702 31654\n6075 18124\n12362 98478\n42433 84258\n26798 51636\n45957 60628\n22222 87524\n17003 24729\n29150 88421\n31392 82428\n71451 94688\n49958 75076\n14160 98615\n29095 81268\n25610 45224\n46474 74706\n33976 94144\n17463 30628\n79853 96370\n21106 65925\n3274 70036\n5388 93134\n35917 46669\n8548 61071\n31375 99339\n34088 96357\n14596 75038\n81270 92497\n74017 90003\n5709 68604\n20714 75612\n64704 69530\n29039 98943\n21198 30696\n12955 49441\n12811 36325\n86156 97344\n55913 60984\n3360 31084\n30048 92827\n56949 90406\n17011 31689\n56502 81074\n7650 95841\n84531 84840\n34251 92749\n72858 97517\n75907 80217\n19743 79424\n14082 92794\n38631 85396\n33576 36603\n5363 32968\n29233 77439\n26906 32685\n29006 74317\n22776 86345\n26878 35601\n58030 63779\n21346 87851\n26306 40749\n21403 33586\n727 21303\n19455 52080\n81766 88934\n42061 57858\n11684 12940\n48157 71202\n9535 81475\n46198 91678\n48905 78389\n12268 83257\n317 24894\n3289 6182\n81606 95169\n4897 8566\n45596 48460\n15016 39839\n19409 62508\n31824 40248\n35800 58716\n44977 53981\n19602 95562\n28144 90932\n17207 69524\n21084 32780\n68201 69809\n46510 66482\n23223 82268\n66717 87179\n16061 83215\n54558 96297\n20567 83339\n34809 84936\n66709 71784\n4113 38649\n44033 84832\n31910 68699\n53683 62022\n14146 32083\n37298 60098\n69842 93864\n46539 51236\n79506 85553\n40866 42399\n3387 83874\n7558 49375\n32229 87753\n6894 47546\n4278 8837\n39256 81410\n14784 51796\n3882 58287\n35600 79525\n38562 53305\n31303 92817\n37300 76910\n76056 89686\n5941 53720\n59612 61871\n40452 74442\n7093 35221\n58648 71133\n1981 93822\n4443 58465\n15190 52281\n78920 83054\n22072 39205\n13567 77773\n4151 87212\n39395 86354\n25496 91571\n9825 24057\n20974 49007\n56145 84839\n10456 43135\n28365 94310\n6797 47605\n25533 44668\n52082 52632\n82933 88323\n67487 93917\n4004 52603\n39124 90769\n25185 76029\n52429 54641\n6525 69660\n79557 97770\n3539 20656\n14755 16298\n3047 79843\n40707 85241\n1983 36962\n63913 90597\n10247 75680\n9144 78133\n48901 72144\n16679 45778\n11518 74415\n9125 20045\n2731 57097\n35964 36755\n13815 57966\n31396 45262\n20017 41930\n36512 53162\n27347 80090\n18882 29266\n49580 51829\n89411 95529\n3514 81905\n12192 81767\n54603 81158\n27124 39881\n79943 81459\n21310 45940\n34734 58148\n13912 23590\n55414 56198\n60244 93181\n15529 69620\n16178 27018\n39605 76235\n41 30676\n13625 72643\n78502 95220\n13708 36884\n36262 88140\n31233 97780\n26192 29249\n8800 82788\n87469 92938\n22123 98698\n8210 13474\n9068 45967\n24431 96406\n30614 57081\n31247 82114\n61442 93579\n28154 53097\n17538 27333\n37976 43807\n2938 67206\n63548 78770\n50711 86240\n69155 93397\n21931 78008\n43972 60760\n85141 94258\n49699 96395\n6831 24247\n64786 70084\n43977 51797\n48744 67574\n35202 54647\n40513 99323\n71412 81961\n40536 56642\n55432 90867\n42704 51634\n2615 24077\n63565 81295\n52414 59849\n42609 48309\n531 92047\n14880 20079\n40634 99619\n66418 91954\n1128 77490\n32249 86504\n27749 50925\n69704 70905\n41687 79879\n3799 45679\n34502 64522\n51505 97286\n46234 86947\n4046 52788\n21476 79350\n45220 65899\n58554 64921\n18771 50954\n57533 58177\n59191 67472\n552 29904\n17683 95522\n18613 68341\n24122 76814\n36914 40645\n31896 48765\n61669 74051\n39541 94127\n17709 42164\n47203 49097\n23244 74755\n1267 59226\n11604 99026\n13417 63283\n43158 96783\n41398 49067\n15050 39761\n17100 51711\n46112 84883\n79512 89522\n25800 71368\n34828 47807\n40283 56484\n21264 78105\n29898 31299\n57576 83670\n58356 60350\n87404 92978\n19950 25134\n32838 55723\n25728 92416\n8307 86498\n15910 68442\n5830 28301\n46551 47136\n54126 80496\n41330 43642\n63332 68006\n12313 91727\n52305 76698\n12098 78237\n26903 57100\n66929 69536\n40071 48367\n15814 66042\n25701 76720\n13897 31041\n59896 64473\n70592 84911\n35715 36619\n5328 79055\n33972 83936\n14645 69002\n24334 91830\n75846 84722\n45688 68291\n40438 52136\n45118 71408\n50015 53508\n20855 36186\n13434 88697\n78659 79922\n35294 66696\n44877 97125\n8323 18192\n16027 54850\n36013 81403\n5779 19334\n3413 51183\n38452 40357\n363 2966\n9136 81995\n30623 73483\n16149 86413\n38906 73235\n11588 24156\n17313 19704\n6318 73949\n21437 90156\n43557 59326\n9496 26584\n50081 81663\n92590 99311\n26700 66836\n3188 27970\n73583 95681\n80071 86786\n31932 80041\n9216 77133\n54029 86840\n77450 79067\n18475 21646\n80708 80983\n79251 80959\n84211 96039\n29041 48889\n30501 65832\n12243 77270\n84622 84973\n47457 94076\n17653 62856\n33384 42143\n18355 29599\n47870 99063\n14014 67020\n29592 93293\n35822 87599\n21325 85245\n862 78993\n49585 81233\n48210 67024\n5473 98023\n37838 99268\n39398 69129\n1845 84083\n26210 30193\n74655 85587\n2834 31955\n36077 63491\n60620 61128\n11107 12140\n8588 97503\n13457 47465\n13929 16875\n36843 91609\n39447 73813\n31148 93467\n6531 91477\n2691 24784\n19148 19466\n34634 84427\n72413 75907\n1530 65828\n18024 80300\n21003 59677\n1820 55718\n41358 86968\n85477 90367\n21994 34348\n8928 67263\n13742 24336\n35529 90283\n1239 36269\n43688 73555\n17511 23325\n2606 65110\n81511 84288\n31789 78661\n64720 94353\n7921 30303\n59123 88524\n2242 28782\n61339 62260\n9301 49083\n35665 83410\n21104 31219\n30299 41139\n21020 66477\n4309 27136\n60292 91655\n5847 91379\n3537 81439\n9773 29030\n79603 87263\n35759 95513\n57980 85197\n2747 98194\n46823 90469\n826 89418\n19729 75919\n12453 54752\n30012 98513\n8332 95811\n65058 71866\n56419 82518\n31054 45849\n12503 78521\n60004 92410\n9533 31323\n9045 55534\n26885 57846\n80355 97641\n37773 53488\n58887 85336\n45852 66837\n79541 95600\n11259 38524\n41649 93008\n40130 46540\n23347 86512\n45344 52949\n19632 47599\n12723 36269\n47680 47708\n14829 85465\n53202 57578\n8870 41789\n36835 40725\n35241 93504\n2757 37599\n75193 77594\n57535 59676\n14895 43855\n23700 67768\n4995 79060\n22477 57851\n28152 47947\n40328 55589\n14762 74032\n12535 88385\n30516 72764\n32094 59174\n11989 78476\n16651 63468\n1650 68220\n42063 65218\n32209 42886\n28569 48087\n22410 37602\n38389 63998\n8291 82246\n72829 88327\n22226 96171\n14719 40750\n18238 21034\n2554 81566\n81362 89280\n37204 59202\n73827 95093\n47524 72178\n10392 96725\n23602 70200\n43286 62145\n22488 25173\n434 5654\n42207 94782\n9482 29161\n12946 88353\n47963 87714\n38117 61192\n18145 22109\n70631 98009\n18495 97857\n27336 90132\n42523 77827\n34846 69439\n49474 92280\n77887 93447\n2429 99762\n67833 80319\n47441 82710\n31040 85813\n19299 90561\n496 89257\n73188 89217\n14121 45204\n12427 39148\n1004 91206\n14943 29592\n76677 84689\n13960 41863\n12271 45343\n45003 54347\n4812 72175\n7943 75749\n10004 51853\n4439 8351\n33672 55245\n84375 95789\n28221 50565\n46050 78284\n20207 44998\n31967 67569\n70392 82536\n16058 20394\n47293 84936\n3155 34883\n48701 81296\n30919 52859\n56619 77796\n67079 76524\n38987 93708\n56194 97337\n7748 23816\n91098 96216\n40976 57360\n35001 89459\n15220 41321\n10083 11010\n58570 67650\n9517 83494\n67720 69269\n36703 86587\n17808 45856\n15702 19374\n24976 75362\n41211 44543\n12563 80244\n19089 52160\n24072 34370\n16938 35615\n5588 57293\n56549 59383\n15039 70891\n12274 83464\n37875 92817\n18750 39649\n66322 97591\n71131 90347\n14796 98439\n57799 96899\n3739 70368\n12515 83029\n1419 60486\n6811 91752\n32776 93258\n79988 91326\n43456 92433\n3117 19035\n34938 61242\n91119 93984\n16947 82946\n59502 83021\n52094 60195\n40953 62521\n12131 65042\n81070 84912\n27378 56435\n71460 85038\n43928 75053\n61210 65057\n37413 63938\n20375 22722\n27556 46753\n2322 26432\n76980 78841\n10181 95323\n1474 90891\n5655 97610\n54171 79816\n79643 96314\n41622 57031\n44330 62747\n95119 98007\n84598 93977\n63082 85492\n29963 80866\n49176 65297\n34409 54945\n13224 97717\n45185 61858\n79193 83182\n77156 94304\n82669 83114\n10999 86674\n34324 61334\n57656 59682\n11225 59579\n24873 57787\n73648 91799\n41311 41906\n9638 52923\n26726 91551\n37517 95891\n19447 78232\n42471 82188\n32817 77901\n7642 94736\n19827 72483\n4507 23613\n14458 40323\n3938 69653\n42564 85601\n61297 68013\n75897 93248\n60014 66649\n40213 82296\n48205 96094\n75550 97372\n37496 60898\n16066 43775\n28209 36063\n48026 49961\n41883 51859\n6827 72430\n49963 96333\n42587 90713\n40114 93879\n17383 54591\n9731 55961\n33317 52566\n35482 50189\n79038 79883\n6645 97452\n77911 80575\n47392 56732\n68468 74514\n3714 15102\n10590 41512\n76165 98988\n20376 44589\n44737 95711\n52843 61942\n50701 53524\n30901 42261\n52017 66587\n16498 64451\n5987 55498\n33419 80404\n22461 35280\n2479 40965\n47524 90482\n92585 93386\n16054 70549\n8794 97731\n33375 46327\n55834 69893\n36004 84080\n90998 96088\n7803 98543\n75835 79296\n40265 95000\n38308 40961\n9273 69912\n53190 90117\n54671 59214\n23424 65843\n69722 91284\n42461 60201\n19319 97094\n10523 73308\n59782 66068\n9046 97229\n13679 46931\n16659 56954\n16232 41355\n1118 17986\n3184 99107\n69103 85516\n14843 95543\n64679 76648\n7676 8787\n39020 82992\n18930 96764\n61676 87332\n8373 38198\n64139 73586\n12096 26646\n51105 58067\n70703 88785\n53490 94291\n30496 34122\n6507 94100\n56289 70495\n21563 87353\n10482 99838\n7474 33036\n30789 68771\n79551 86047\n26815 87823\n83284 88145\n44748 59263\n13537 46689\n86271 93277\n74589 84792\n3487 33479\n18813 91078\n1978 6677\n23575 75516\n61004 76084\n8893 55477\n22783 67058\n73743 98889\n14862 90070\n29293 36134\n17345 30035\n30875 94465\n37606 38616\n39962 89502\n33852 87296\n38602 76955\n37097 84735\n42174 88894\n61861 99507\n52252 62647\n48551 89313\n7413 91480\n25430 95200\n16717 94155\n59147 80982\n13412 60195\n82571 95154\n12767 52673\n39763 48495\n1568 60172\n9972 26587\n64353 78540\n1562 26221\n8387 84402\n837 37533\n58329 66169\n1864 77253\n70485 76431\n2901 65322\n83225 88043\n23464 74470\n19158 81746\n69863 86255\n12535 89380\n37470 79026\n7189 75935\n10060 96417\n60817 82853\n26868 91297\n2957 41787\n12984 29181\n2365 19830\n5883 68637\n25412 80863\n53666 95417\n53200 68440\n850 44586\n33139 39892\n6793 24712\n42482 88437\n5677 70100\n55316 71750\n81568 86368\n35136 42749\n65065 99861\n20009 77653\n51617 88791\n22293 47340\n9554 94846\n28700 34747\n85540 88933\n33463 94464\n34053 88085\n13288 82105\n20201 45462\n47789 91493\n40903 96997\n69696 97780\n31085 65494\n11260 19987\n28135 85429\n36863 84473\n3601 70722\n35701 56649\n22156 61420\n1255 66177\n55295 70052\n51449 63317\n12633 12945\n62458 73575\n3864 7059\n19527 37115\n9294 62728\n68773 79005\n29424 72927\n52238 99489\n24214 34923\n43270 46555\n72272 93596\n5398 35729\n46231 56465\n61386 98648\n24545 71920\n91451 96640\n8711 74155\n8793 32661\n73581 95199\n3562 17295\n32293 74195\n14705 97308\n11169 80263\n27220 89209\n38409 67357\n5141 53722\n60232 61323\n76586 79263\n39684 80642\n22304 37866\n1042 42128\n37697 49911\n1491 74167\n57900 96856\n50908 54720\n1522 10744\n86245 86275\n24869 98591\n10048 67596\n5106 40813\n86830 88477\n38297 66452\n23034 88567\n28862 49658\n35689 54039\n43241 48767\n71183 87267\n43756 75488\n27797 32036\n19832 27864\n37975 54701\n11396 34962\n16261 52860\n48717 58637\n10947 42094\n74204 94265\n28123 85357\n9772 77880\n25189 89550\n89433 93089\n14259 89802\n43457 65962\n5442 74634\n21005 30271\n23709 84394\n42142 85628\n77695 90176\n17727 86078\n19710 62542\n13683 74871\n41132 89887\n3461 62659\n72838 85042\n3904 95309\n17116 86938\n89347 91968\n26226 57173\n26436 55856\n22225 96785\n28991 46522\n72014 90942\n36906 58818\n24055 68577\n26257 78536\n26047 85581\n14737 60761\n13147 52858\n76457 86663\n11170 67106\n16830 43649\n16491 74651\n44798 89902\n17799 32915\n50491 97307\n71079 78989\n63496 73135\n41969 69972\n28550 31328\n54055 59517\n76185 88453\n7419 54787\n2254 73848\n1263 35977\n15461 16391\n1496 83195\n51959 92266\n48368 82603\n32461 62288\n21390 89135\n50139 65755\n20881 51494\n27655 72441\n61328 78136\n49729 78429\n2418 24821\n2721 48289\n74824 94217\n17601 33604\n24967 82811\n2501 41691\n57630 75294\n60013 97990\n38932 65412\n21221 58244\n40232 45857\n22936 84664\n9684 51150\n5696 45005\n41733 46326\n32728 39613\n45570 45954\n21453 65400\n17127 98652\n15330 61699\n47390 56487\n21561 49029\n58246 87158\n38713 59932\n35702 67845\n95126 99524\n58410 99567\n61796 98754\n64417 88741\n2664 58800\n36519 93580\n13254 84134\n52409 98478\n16413 32765\n13929 42843\n16257 74783\n17268 65455\n38062 93785\n17237 32258\n82441 98153\n9654 35413\n69219 74326\n2367 86515\n22676 87370\n31054 72670\n5366 94592\n34251 68332\n5748 9465\n56168 61937\n72838 77176\n47073 50247\n3462 89851\n2386 92924\n37209 57271\n45471 99225\n20498 98334\n53330 71664\n43671 86929\n29564 31672\n11776 21706\n1763 5265\n7868 80944\n87168 94902\n20168 87188\n6289 47240\n36810 47526\n64691 98127\n26634 77013\n20490 93541\n5537 9602\n33160 81543\n12987 56902\n52962 77832\n3159 22394\n3972 13175\n21481 96400\n4721 68658\n6246 11267\n29934 91545\n16379 92874\n65197 66207\n27575 30158\n31228 74716\n26274 32383\n8353 59813\n1692 68365\n1693 9109\n14858 82154\n40439 59678\n42660 52453\n33105 99746\n8334 50133\n19557 40237\n86024 96802\n11936 67342\n1772 13582\n55545 62062\n22529 93226\n61269 63046\n61831 98410\n59263 77899\n46368 49761\n65944 85397\n29488 94208\n82889 90806\n77757 83533\n6721 27604\n26672 84297\n5559 88322\n17504 47088\n37825 68396\n36024 44866\n62581 73072\n94584 94753\n75252 90550\n68624 82613\n18023 69885\n38659 90762\n5963 16364\n16636 76360\n34343 88753\n8846 92376\n35644 41682\n12452 94380\n6757 32292\n21635 55429\n3136 15456\n20661 94073\n43500 48098\n1028 56841\n27030 99664\n58797 64078\n43191 62706\n44707 47638\n7896 64118\n13681 81251\n51858 95022\n44578 99134\n19619 63495\n4412 50739\n59498 63588\n18332 56767\n27113 82517\n3769 95528\n1926 66114\n14820 18813\n21531 99129\n36758 72652\n13562 95372\n65786 85205\n48823 67568\n73240 88584\n20755 66193\n16867 82451\n68856 78006\n3622 59105\n52603 71333\n23321 73660\n60800 64804\n15049 96556\n13884 75932\n65294 70811\n3029 93640\n45966 91821\n44491 47350\n13556 64174\n35222 61602\n6330 81239\n34955 38639\n26877 59464\n29781 71170\n36468 61188\n51361 95951\n33973 44521\n3060 67146\n26540 34995\n8121 73830\n16842 37536\n78870 82234\n40573 75307\n12103 95823\n46193 80433\n9553 24260\n36414 42889\n56886 76479\n33673 96345\n42057 79502\n19297 50516\n44287 87131\n45139 63748\n536 83622\n93758 97933\n29390 30187\n32330 72942\n54315 81621\n5751 38750\n29871 41101\n29503 46563\n88224 91009\n56125 62197\n5482 97676\n56435 75573\n2108 57415\n50611 90299\n534 20336\n41558 71525\n2947 92625\n50206 87368\n12281 20128\n49302 99544\n47235 74182\n64748 69615\n33099 65848\n38511 98360\n66603 84022\n58061 69794\n40826 89778\n6599 64134\n31793 88476\n55188 66410\n35596 61358\n16556 57282\n41246 86595\n37804 41291\n4582 60685\n29042 77936\n63036 70579\n12628 15600\n16877 58203\n28344 88482\n32926 60063\n64932 72064\n43122 55656\n12854 83997\n54586 62294\n92675 95754\n24955 29146\n32135 83216\n6364 19923\n54629 94314\n41950 90228\n9378 25612\n6326 21448\n55027 82603\n23059 31091\n69434 81761\n49675 55645\n11262 43584\n10366 94607\n17079 24788\n24151 43150\n94685 95652\n28467 61438\n14494 15710\n45898 82393\n22014 83950\n21243 22748\n13311 98008\n62494 87765\n39088 92198\n44079 95973\n28848 46347\n33009 36336\n64435 98227\n87154 91473\n79487 93510\n78950 91197\n71005 94359\n27243 61623\n45420 77205\n8107 60724\n49653 69542\n47264 65920\n59379 67143\n55580 92165\n75356 92978\n21329 94759\n37096 78294\n16250 91069\n36551 74137\n45923 80605\n42743 77617\n54971 89105\n57755 82895\n48108 53501\n57540 59381\n34773 44115\n13795 87131\n48954 50684\n42577 85369\n16412 31792\n47855 52024\n17616 62872\n75990 84555\n10451 51428\n13190 80451\n17813 86815\n55655 80227\n3937 15146\n36521 92719\n65844 90666\n18115 59768\n51771 72859\n33085 74922\n35787 78724\n51274 89186\n39205 57762\n21004 99680\n34089 37286\n11654 89519\n10767 83740\n22587 72406\n12478 34064\n7371 38035\n30563 81794\n11018 84045\n68970 74458\n22930 62788\n7763 68393\n81231 95368\n60791 62473\n69022 99705\n21311 49835\n59958 74059\n19851 99254\n33057 87519\n31073 72269\n13166 70017\n3136 94689\n62701 90592\n7681 61652\n2233 67742\n32858 70930\n12278 94032\n22969 43160\n23352 67669\n41309 60055\n8553 62655\n31951 72217\n12976 85663\n41278 77777\n6927 10372\n29597 91253\n10707 40770\n37916 55831\n54679 98866\n18870 95086\n35883 57932\n11224 76214\n4694 82959\n48203 80856\n11511 83135\n43647 92641\n507 35029\n34644 83315\n63750 73411\n39392 79832\n19663 39988\n26379 32060\n8594 85593\n7078 87706\n19065 82528\n42525 43522\n10277 60305\n7139 22578\n6548 42075\n12172 51180\n49219 94205\n40233 56615\n19587 89155\n12300 50890\n42036 75852\n8424 82596\n74238 90496\n50208 80936\n22811 60855\n25712 77071\n32400 42191\n23298 68101\n5579 57137\n26000 68613\n64245 86677\n15664 32311\n17517 97575\n35070 60500\n33264 88956\n7772 29641\n46638 52823\n65767 73336\n53377 87127\n11870 43782\n2787 94295\n22184 43470\n11850 30731\n4300 18039\n64772 76747\n53880 57874\n9397 75526\n6355 61549\n73660 99674\n22340 75171\n61015 74923\n21488 89486\n41816 74811\n30185 96517\n4319 61405\n1299 9876\n13424 33942\n26477 93024\n435 34787\n2064 43321\n60783 93275\n7346 75945\n45047 90211\n51067 96491\n3318 78981\n70009 80663\n43679 53843\n41526 46747\n31778 87031\n41561 97384\n53343 86918\n12329 39212\n11439 20174\n24676 50316\n39948 75752\n71798 85691\n77495 97594\n31610 37450\n5881 91517\n45196 63419\n24392 32091\n26200 65199\n25217 27398\n33950 67371\n43887 85424\n95281 97057\n53236 66531\n22695 85131\n49818 99397\n11500 49832\n33317 70433\n54619 65256\n15175 85739\n34520 74488\n28842 61134\n26577 51047\n43019 99502\n40215 52304\n19230 85286\n30242 59049\n15752 76585\n27699 38237\n28459 99062\n24304 50656\n13729 27396\n58165 78960\n18863 63238\n22585 48515\n41543 47157\n14581 63182\n25917 79764\n11974 33450\n41566 42591\n11150 60582\n6968 29155\n13189 79284\n55166 80653\n13811 98102\n53867 98953\n20922 48935\n43400 50909\n34551 44361\n22486 29864\n64335 72561\n34664 76476\n18964 70285\n63752 92823\n60963 93056\n8255 98572\n27717 49505\n12868 85940\n5888 72134\n33993 66572\n58058 87674\n19651 52520\n84644 86885\n22024 77646\n43290 97121\n28013 63611\n3448 95100\n38425 64829\n7177 56943\n27718 30329\n45206 51343\n2422 42491\n38838 86818\n49174 50037\n52913 73968\n33338 63164\n23171 37789\n9478 58017\n212 70753\n20868 76762\n43393 89460\n69781 99329\n2017 4426\n22768 89700\n41829 90455\n21833 99679\n54467 58323\n69919 80120\n46685 95858\n26420 56269\n28978 41824\n36106 44516\n45713 48683\n52740 88655\n54166 75604\n40682 50638\n11738 39612\n33037 44099\n4726 6413\n83696 89842\n15413 86755\n5295 81599\n38719 64180\n1779 70167\n21675 53404\n12937 22104\n5838 11942\n6095 77002\n1435 27817\n42270 70322\n7481 16043\n35862 70198\n36119 57174\n75073 91254\n4832 66332\n16924 99759\n19330 24158\n42350 80099\n49522 70435\n52382 85066\n78550 80083\n10134 13297\n1957 9778\n24115 94562\n68077 84936\n69675 71320\n29301 66860\n6814 37470\n60610 94843\n47146 95118\n7276 22896\n54236 73364\n15325 52044\n40976 96007\n7032 42745\n41571 79289\n28961 83271\n25100 34393\n38963 71193\n5852 99447\n64875 84825\n55565 88365\n63644 96646\n42251 72729\n12324 86289\n590 9287\n41690 84534\n49530 61547\n41839 97017\n116 59443\n5512 89750\n37941 85699\n18669 87159\n65154 68885\n16980 91195\n31958 32649\n27371 86362\n58931 94632\n13462 15207\n73611 84987\n3323 59977\n19559 46689\n24680 74857\n18451 33018\n70612 78590\n42078 89299\n69740 83307\n15079 93802\n21916 97304\n85005 99431\n21815 82791\n7813 13199\n15524 47690\n21664 56136\n34019 43521\n6401 29962\n53556 98503\n1631 57778\n11249 93300\n1007 79675\n63416 95680\n2186 21601\n19921 41450\n51361 62354\n15754 75421\n12430 65807\n54181 60767\n148 6831\n27611 84661\n3110 76822\n30720 55072\n30306 58138\n4136 9495\n19439 42153\n18415 25173\n25967 87175\n13179 66129\n6119 45432\n24264 35886\n46125 72627\n56891 86991\n83522 87531\n61876 98675\n41819 83298\n21018 77352\n101 12360\n32269 42762\n47142 83807\n38262 63011\n38152 64113\n89307 98915\n23990 99650\n72149 89080\n60251 95629\n44695 44937\n87019 91461\n62835 68970\n30059 59539\n50876 87491\n5528 98582\n76196 81157\n17643 52940\n67037 77609\n43815 56107\n17712 95023\n32919 76513\n46530 99639\n28279 30047\n36787 72989\n32345 93496\n49445 60048\n1664 26143\n83314 86249\n28510 68247\n73806 80978\n80208 82787\n57243 77599\n38492 81003\n40709 70023\n61696 75531\n20847 53443\n50862 70620\n4790 61974\n86889 91630\n15100 53313\n11934 98363\n8668 61292\n19566 66695\n78371 95870\n20248 26079\n65464 97120\n37235 65143\n27904 36140\n58676 68804\n68702 72783\n28148 44225\n46530 94908\n14948 68655\n12123 83181\n48598 95358\n1812 91883\n71938 75254\n5605 25702\n60864 69257\n20922 94200\n17911 26371\n4594 88302\n42012 96666\n20064 86264\n15223 95231\n21078 44293\n84684 90414\n24013 78436\n8975 95632\n27966 69171\n21571 92085\n5375 55347\n80456 94892\n36933 50391\n40704 56732\n13934 42770\n71675 72033\n23050 71609\n7043 27049\n30934 60592\n814 5379\n58470 70429\n8765 88033\n1560 53437\n28689 81469\n14859 88606\n5585 29834\n54396 78855\n34937 43204\n22290 31057\n72332 87462\n31727 63452\n8057 27946\n11673 42114\n35725 61524\n47077 88514\n12272 48898\n4559 27408\n20165 71765\n70588 76997\n51249 51726\n45385 50974\n96461 98654\n84832 97141\n38307 53938\n29486 62809\n987 20537\n9688 24981\n18305 35212\n26627 27370\n36109 84259\n43887 84594\n12398 70969\n12670 96035\n40579 53748\n22865 74734\n39384 40346\n77186 86584\n7547 72735\n40331 96238\n59869 96817\n48219 75755\n11761 98239\n56566 84767\n22539 59185\n47586 57588\n79365 86099\n2006 31276\n15207 36775\n77213 86412\n71131 86295\n5582 32284\n42535 75194\n42992 64306\n41168 85134\n6854 54152\n39019 53809\n66184 70681\n55553 96960\n13085 41742\n38829 46496\n76788 98452\n6380 37458\n2693 12259\n6697 93527\n29004 94345\n27112 30926\n54228 85573\n58115 72733\n29820 54297\n38844 81008\n37881 43263\n39992 74465\n10407 82205\n40673 77842\n50964 77072\n26989 71921\n1016 24830\n14193 25388\n13132 29937\n4656 61257\n54180 81795\n8745 13508\n7669 41539\n29941 55590\n39263 42245\n32541 54283\n14688 55830\n52383 87084\n11959 95255\n61874 96161\n31591 40177\n3208 69630\n78356 91503\n1616 66869\n52067 88138\n25042 39764\n158 5952\n57721 70408\n23758 30061\n87080 96570\n19251 97541\n5060 50558\n42659 43186\n30561 58362\n31167 88355\n78725 81112\n44968 79998\n68678 77408\n7692 60123\n24022 92665\n306 42032\n32277 64166\n5896 7043\n17845 82254\n42798 64817\n17199 71806\n53200 61577\n87910 91257\n2640 53840\n54782 74160\n17530 31706\n17638 69074\n49174 92777\n28628 80952\n45750 61478\n9450 42803\n77097 94127\n5326 96490\n23269 51294\n33650 66248\n64937 83054\n63654 72604\n11345 80741\n69308 79373\n30830 64717\n8306 53650\n11476 61848\n9956 76726\n24938 99027\n41342 61581\n35221 73980\n2424 23987\n29211 93735\n32160 66226\n46080 77716\n62954 71643\n54085 63204\n7277 18100\n10826 29454\n66028 83754\n51270 69091\n41778 95041\n4395 66877\n16619 53580\n6842 9369\n47791 63648\n48326 56344\n7175 39224\n53385 93934\n44310 55275\n11239 48064\n20429 53498\n16593 43870\n5652 25562\n56904 79762\n6453 90082\n18294 40243\n50775 53887\n21905 95303\n25912 94649\n16555 88969\n49835 84424\n15519 61169\n12589 38898\n10537 11186\n26845 90121\n8720 18600\n5600 22296\n57602 87270\n60533 68727\n70351 71457\n61394 91078\n60142 62592\n44149 75649\n7809 60945\n13138 82826\n47884 83824\n34969 79850\n59695 75634\n28925 87439\n24812 92181\n20266 63711\n66869 80761\n13484 20128\n37220 96236\n79664 85643\n74424 99984\n59602 64278\n76373 80280\n4305 37185\n6643 37576\n26135 84641\n42205 89475\n7300 39529\n6271 61279\n33466 89199\n15682 59703\n47863 69883\n11 33294\n87048 95073\n12324 22950\n54374 64764\n33041 54601\n29071 61455\n14194 53674\n47736 91172\n29289 86430\n42937 69853\n77681 90990\n16114 65535\n15410 71386\n14147 69839\n19775 60876\n50612 76425\n53560 56551\n36523 83489\n84987 87767\n10206 48213\n48871 96887\n35153 88764\n89961 96139\n56722 79586\n56850 89910\n16108 46015\n32469 95366\n22581 78830\n52011 82947\n31270 42609\n67722 84414\n58326 83652\n15122 91516\n79201 85614\n71816 92903\n42737 68380\n5547 47869\n23320 77737\n30628 66013\n53434 78398\n681 35982\n61664 73523\n46173 90822\n6131 17966\n44102 89420\n5055 71449\n42287 95613\n1145 14098\n4152 42815\n20889 99575\n31484 54428\n42620 88947\n69428 74305\n36803 84259\n70793 80088\n80421 87387\n25426 88392\n11653 67538\n36430 58061\n73001 86920\n27134 40655\n22554 94946\n27877 83047\n10366 58782\n27286 86554\n33629 96253\n70712 80760\n8697 76603\n29277 35865\n5644 48156\n1082 23351\n32142 71507\n1404 81952\n67160 94678\n59832 64031\n48719 84683\n54547 97109\n2744 38603\n11578 39761\n54203 80870\n12696 24012\n12675 79981\n14260 25692\n64237 83673\n17499 41673\n39584 83691\n69502 74099\n48110 83924\n359 24363\n15755 23554\n59481 84946\n25033 49636\n53787 72351\n54625 97921\n43657 56561\n16397 50674\n27103 49300\n19707 38872\n41460 61845\n59555 77189\n7492 38440\n50480 63032\n46799 60835\n37564 72228\n4184 49086\n56271 83826\n71148 99922\n45940 63206\n54231 83660\n58702 87456\n9184 79517\n32814 62316\n35541 74606\n21958 69631\n5648 63332\n30689 30831\n12627 57293\n50199 73740\n7392 88345\n9608 73911\n21928 36887\n57278 99243\n23920 81511\n41841 74976\n54609 73461\n45075 98471\n64303 91526\n60834 77080\n117 36388\n27162 82038\n19427 67532\n16860 86603\n41083 60412\n13912 37615\n42330 44371\n17807 45938\n47456 69759\n39293 97943\n45495 74772\n4376 96436\n41264 90532\n64867 90148\n18884 64933\n69281 84173\n4489 99901\n6285 72434\n54659 62853\n7105 11276\n45178 74623\n63638 76615\n81333 81683\n61771 62587\n38654 81191\n34533 67496\n84272 91543\n16331 64395\n13694 99366\n16904 67963\n28810 79219\n1040 72532\n28777 86310\n38359 64020\n44768 73162\n51729 93399\n23926 25219\n61705 63287\n59134 75934\n15584 24743\n4374 60425\n24828 98554\n10622 87572\n67474 90521\n28080 96481\n11791 45799\n8085 69573\n52775 80507\n54632 93301\n41171 74177\n51650 57480\n50631 80687\n11405 91266\n7736 62198\n26008 90359\n27786 50144\n10642 68313\n8487 52021\n12176 67658\n22734 78389\n34976 63896\n63345 92307\n34795 75722\n14384 18383\n14927 92000\n19299 50822\n53953 59020\n13681 14399\n48198 80474\n16524 51496\n7961 55720\n20594 21065\n72462 83011\n32053 60799\n85224 95716\n867 1690\n4757 34504\n8036 82909\n24543 27194\n1520 61961\n52447 98933\n20759 98135\n70086 77188\n2510 84582\n87181 90294\n51072 54343\n57182 84646\n33561 59651\n148 54846\n49904 67355\n68238 71642\n37846 95007\n45544 62962\n78172 89336\n18906 76721\n54444 80769\n61598 83571\n52645 82847\n3951 97692\n20699 33809\n86937 99994\n5167 86246\n46649 80442\n49135 56194\n65238 91799\n21671 32959\n28094 40235\n29540 86438\n40580 67974\n49109 64330\n31121 45160\n678 62511\n43558 66731\n1742 35625\n31232 42497\n38247 93174\n2550 49772\n64853 75040\n47198 68333\n6554 91732\n14489 45368\n1580 40080\n10348 22270\n73723 88614\n34123 57544\n29053 63933\n20770 37659\n3257 12932\n52855 91254\n9510 28982\n36788 48242\n39139 77782\n9333 43604\n29389 61132\n53873 90358\n4358 48588\n4825 73431\n66144 85477\n52072 65049\n21737 39890\n21809 21930\n18992 98887\n13677 70942\n44357 62403\n68931 78529\n21841 34202\n25890 70501\n3829 18516\n27814 44056\n59135 98147\n8330 48142\n29052 85412\n2980 64316\n12053 33068\n3367 46271\n41305 60861\n49901 71345\n13319 16370\n39286 51863\n49958 72892\n39918 51802\n71589 96956\n21278 85561\n58338 78856\n4847 97144\n11765 24371\n28686 83072\n32710 86980\n1254 80745\n17560 21818\n34982 93108\n4038 87489\n12224 73349\n53894 76129\n14255 37704\n32920 77981\n16464 81467\n80934 99774\n29558 54925\n11403 89782\n48874 66240\n19373 79164\n29372 51705\n17231 29592\n26482 68471\n17733 44205\n52553 85436\n35432 69379\n21214 66760\n20049 46315\n22694 76523\n64995 88829\n56452 75712\n66764 87729\n61956 97866\n49442 53992\n22694 67435\n30130 77918\n31857 41186\n55190 85140\n13794 15725\n61416 79935\n21669 58218\n28114 55043\n77417 88777\n13417 21200\n27738 28471\n53550 83263\n46834 76484\n17814 61042\n3940 65631\n12837 84081\n11680 81521\n23347 85679\n89551 93953\n31850 79254\n41780 78123\n79888 88844\n6964 60992\n57482 69313\n66106 87239\n4216 15640\n51712 79742\n21567 77530\n12247 86665\n7641 21759\n58624 97978\n43178 69570\n54003 87513\n11127 20280\n79653 97994\n63538 68565\n411 55671\n85440 85567\n13846 16913\n14868 57911\n80599 84052\n36951 48086\n9931 24730\n87089 88897\n51665 53692\n47512 72037\n21479 25797\n16693 27217\n14020 34566\n37775 58899\n37824 83613\n12880 69069\n19103 34603\n30092 41757\n37072 62269\n37761 87018\n14962 45274\n88842 96608\n64469 92430\n61495 76389\n47321 59466\n17431 52860\n26264 81792\n27668 42374\n3526 45559\n83330 91396\n65187 83757\n8323 60722\n43515 77505\n14360 18252\n70351 82285\n13795 69370\n30708 91507\n74805 76476\n23642 39443\n58525 65171\n68780 73921\n18160 37577\n20165 42930\n24351 90140\n8172 61188\n461 35645\n62746 65023\n847 33569\n57853 77686\n5230 84010\n49977 80980\n65937 92134\n28306 49187\n70296 94205\n25292 33469\n8811 98880\n52344 76443\n6980 47079\n8048 70152\n1867 39694\n24980 43509\n90607 97501\n81155 96863\n90825 98127\n6610 75196\n21554 63291\n65011 71176\n14989 58621\n42614 67081\n8919 58584\n71370 92776\n9481 62927\n81302 97838\n74729 90906\n41872 67849\n63419 67119\n38119 81592\n31043 56422\n64304 76560\n63281 80767\n48025 65257\n62172 63868\n57456 89391\n24225 66174\n47440 50857\n6038 63234\n65587 86282\n22621 79506\n77339 98269\n12446 34944\n36525 86687\n15305 63489\n10428 41069\n23795 84210\n20023 80164\n11895 48562\n46220 96295\n26549 28817\n37 81787\n47022 86107\n87317 87794\n18758 70040\n9568 29015\n60316 85521\n66911 94770\n45284 86583\n9143 90272\n34645 82661\n74991 82576\n46148 83571\n22197 97141\n32096 42055\n34959 80134\n88956 89911\n70428 79238\n2363 55113\n5361 17271\n17491 59017\n21126 73613\n17842 27197\n39079 89774\n3764 67782\n45004 78174\n22437 42539\n27411 65815\n25941 35732\n6898 94173\n28247 66867\n20739 23158\n91933 97113\n78122 94805\n3673 41696\n39234 92510\n41408 78286\n54307 92318\n31890 95361\n30637 89504\n62884 93698\n33229 85309\n19647 81040\n79824 85196\n19329 27513\n7879 26176\n3755 36186\n23471 48627\n38926 93548\n48697 88613\n28269 39041\n23781 24409\n81555 83576\n10341 46704\n4905 37120\n34318 40327\n21580 78422\n43515 82835\n49163 54029\n3229 70227\n36643 80540\n67271 99633\n23998 50644\n24870 47641\n2788 94453\n51827 54773\n22822 29539\n35167 70530\n80559 87704\n33372 50984\n70011 82156\n21666 78281\n69602 70916\n31944 41159\n30460 80325\n66494 83619\n55290 81033\n54378 77371\n13248 73496\n2672 88466\n76439 90355\n48064 60224\n17579 23320\n13621 96271\n11244 68186\n15005 75897\n62669 78905\n64271 86812\n18840 49271\n6539 51156\n11932 23719\n45793 82306\n7234 27777\n44712 78115\n81800 91419\n32947 52790\n45262 63101\n50804 88321\n56837 95773\n40530 67927\n10954 29062\n13041 59854\n44026 95122\n5180 17196\n4064 67924\n64071 71537\n421 3447\n11194 74249\n368 97482\n10940 72837\n39223 70812\n9261 35318\n76236 97315\n57088 93012\n33698 94366\n52618 90058\n47090 64352\n85108 93290\n65451 97398\n66373 92779\n77537 99702\n7659 55035\n35062 96701\n751 21583\n72346 85515\n53689 84824\n51462 60806\n42544 75583\n19639 98631\n23444 73299\n29378 67966\n3431 89908\n5957 6457\n35749 43916\n46352 48130\n1204 94505\n27216 63733\n43320 90763\n66129 87800\n90626 95171\n32072 40954\n8194 58895\n23040 66262\n78177 98036\n85113 88448\n6803 14817\n10072 66555\n83392 95866\n11045 16232\n30996 60616\n29869 88877\n28741 87651\n60282 98708\n29956 57820\n45653 56660\n2218 36789\n10699 35051\n24322 41597\n12617 71753\n34888 45317\n12270 43339\n92461 97012\n42185 89074\n13865 50206\n6279 92400\n29231 95175\n7751 9599\n2575 53257\n36950 43053\n576 40898\n17619 20776\n5838 23711\n13276 18430\n64012 93248\n17246 55965\n51751 92744\n80646 87276\n39055 59902\n51639 79231\n8478 30040\n45193 45328\n14030 75638\n21614 41610\n15234 59792\n8878 50222\n68518 95099\n48624 53829\n34664 96936\n43276 45251\n21510 60101\n3194 31647\n36860 91548\n20148 85805\n24134 90822\n20113 27538\n79688 80422\n45787 93751\n31601 70097\n5191 13964\n14256 94820\n27988 52478\n72056 95350\n47206 91629\n58087 91088\n21897 50823\n19036 20054\n33309 69431\n48521 92670\n1134 19831\n12298 89440\n49389 60858\n22058 61930\n64540 88018\n86748 97892\n47285 58951\n20277 36189\n30422 87285\n13609 77843\n42595 66972\n56904 80354\n3282 79484\n35050 92348\n28416 53741\n17704 37406\n3973 29787\n39242 58422\n23905 58063\n35488 63506\n8025 20649\n62960 91116\n45975 64215\n11779 30676\n22706 27622\n53446 60480\n53080 78713\n31394 88646\n35451 54540\n13536 60232\n42905 65601\n48899 53099\n29209 87797\n20391 20437\n259 66343\n7697 46963\n82301 82513\n6861 21904\n17295 74496\n4891 74702\n23191 32297\n35109 54891\n32813 72183\n12331 75244\n33367 79848\n32197 55758\n4073 87330\n27217 46845\n53022 69440\n26941 85544\n39605 94028\n63817 63944\n82465 86412\n12791 31674\n69160 97762\n29196 91412\n37657 58307\n31431 83001\n41848 43920\n41935 49216\n46464 63741\n10416 66138\n5885 91775\n17943 68082\n37422 96206\n3713 35446\n22358 75730\n22972 46570\n36489 92851\n16599 39440\n57838 59118\n36312 37638\n16745 80071\n18862 34292\n53163 64689\n7196 88531\n38035 75046\n44544 88342\n16346 29718\n52873 63401\n28156 84863\n2293 24935\n52573 68421\n25745 97701\n78012 86027\n2045 12374\n38733 50854\n39410 46277\n39726 50804\n4020 47920\n12022 29709\n38091 98974\n79279 80946\n14978 45143\n17837 51428\n3924 78342\n42912 56151\n1120 25809\n26158 27535\n27046 50668\n14963 86736\n45719 89128\n82768 89841\n9175 65906\n37488 48360\n64069 68239\n41524 62417\n25865 37491\n77675 79089\n55483 58337\n6439 76356\n21971 81686\n44368 48695\n6923 54032\n68594 72654\n38669 82244\n12259 46559\n23734 59710\n40581 74720\n78735 90071\n58757 76490\n76364 92927\n13890 86009\n39750 61548\n20672 84821\n12149 16635\n11346 75210\n404 33588\n30385 36441\n4747 43704\n8506 83503\n8331 57109\n53079 71174\n52267 64395\n56459 86105\n35071 77900\n17330 64386\n2310 17650\n55966 66869\n11635 72381\n25162 41918\n67904 98448\n34447 59181\n72110 76034\n67052 70774\n44794 93472\n85523 88587\n10662 14965\n2725 97665\n7454 84609\n41771 92514\n6281 9551\n28102 91261\n12955 30725\n14406 74114\n38122 90688\n19995 41855\n52058 81310\n21952 31630\n80293 94269\n37799 79665\n9304 45236\n17547 51004\n77771 97939\n29944 57295\n14144 25611\n79164 90304\n18350 66432\n26594 38923\n17609 53863\n22267 52450\n31727 32100\n83678 90634\n5885 11030\n21952 62813\n9215 80315\n34953 49777\n7654 34608\n44725 62563\n19995 82594\n14852 55621\n46032 74841\n17535 26735\n2733 90117\n85790 88908\n69026 69840\n10955 28405\n66636 75858\n54280 57255\n68279 90618\n74253 80497\n1603 82472\n44535 78494\n13565 39281\n12448 23798\n44672 45864\n6492 23044\n28566 83109\n22637 92936\n1765 77480\n40065 55799\n22981 58103\n37336 56465\n69028 86797\n5816 65111\n56 69839\n49304 61056\n28419 73426\n74645 85265\n46411 80570\n43147 75870\n38256 82406\n19718 70265\n28656 48890\n26839 78358\n61975 99916\n45007 98054\n6664 24369\n19963 53468\n73008 86702\n34267 62590\n27010 29006\n14709 75996\n36100 71757\n36891 56975\n24283 79710\n37870 72319\n4281 84217\n44650 56925\n57289 78644\n9120 43282\n47562 73403\n7810 30104\n16606 65347\n17299 71684\n21408 41057\n3463 4817\n23302 72402\n39754 47106\n72189 96219\n69911 90125\n30177 44592\n3492 21736\n1890 10913\n39301 89084\n69441 90975\n45071 48002\n16672 92309\n29629 87709\n34045 48420\n72560 96201\n8800 94205\n52784 74791\n7797 33610\n18916 61126\n26645 74943\n2438 87903\n7735 78022\n44266 88892\n20959 29032\n18660 63318\n78614 87557\n11863 38809\n12341 22108\n23344 25402\n24194 83495\n67270 86946\n1312 97662\n17127 32385\n47675 54014\n31628 54072\n71406 85746\n62096 85984\n26016 63848\n9482 91154\n41207 54179\n56552 98533\n38710 90141\n31430 96316\n23524 85482\n85466 89821\n22649 59496\n22590 44446\n7434 83696\n17355 36995\n19664 82363\n56562 81384\n72706 85890\n9406 29959\n19285 23710\n33576 82066\n67740 90918\n16868 86023\n38735 44014\n12567 75445\n20887 97357\n95485 98278\n31808 59988\n53426 81137\n27222 63032\n53522 77698\n56884 95079\n15574 53957\n65828 83998\n55858 64680\n38962 85935\n26319 31597\n48795 67036\n20477 82235\n4017 45730\n15876 85637\n11787 54152\n12289 51090\n12043 39885\n32721 74215\n62358 79838\n22861 96914\n18416 79872\n4480 59951\n13106 86295\n56125 68612\n4162 57993\n46580 86934\n6551 70201\n52962 96407\n1814 19512\n10438 59138\n91271 91365\n21406 23156\n62420 64717\n42236 98593\n7265 42384\n43661 65225\n50721 95366\n1078 12889\n22993 77836\n23321 67492\n71861 75271\n34842 69174\n55593 91303\n76450 77844\n9061 80823\n23399 64927\n6009 7794\n37349 61630\n19649 78853\n25556 91841\n74935 87972\n6964 38170\n29492 51911\n53257 81614\n6022 73316\n5657 11452\n2222 97444\n40185 75674\n20881 48251\n25845 98785\n29361 98131\n5977 27806\n95466 96573\n10991 47499\n42397 95510\n38333 89610\n21669 41740\n47368 75685\n46368 77752\n59112 65883\n25665 55111\n33806 91623\n13512 81445\n10718 48405\n23106 43825\n72826 99310\n4426 41309\n2142 39779\n18978 48114\n2968 99717\n49377 68881\n46730 61779\n1178 72700\n53289 88024\n61587 71503\n14933 38287\n5305 24712\n27659 90526\n2127 81638\n51035 95490\n32020 63942\n79152 81932\n79994 97946\n11744 73897\n54689 86245\n6817 12233\n9959 65688\n22823 56408\n30804 50207\n4866 13381\n42131 75047\n59119 93139\n63370 76483\n26367 94317\n43796 86523\n76355 88337\n4367 75722\n20529 47843\n37044 81978\n25876 45147\n18108 76829\n17568 33739\n55471 69720\n18702 98786\n40017 77158\n8885 75495\n107 52652\n50846 64394\n14815 92968\n70244 72973\n36244 95253\n32861 42567\n29575 40619\n82928 88607\n27127 77400\n9017 96737\n13837 17695\n27406 35396\n18611 75205\n16984 19342\n40078 51830\n47399 66510\n60435 99040\n51042 58705\n39380 85360\n18385 28951\n75914 87858\n532 23367\n52646 59094\n14863 36734\n7517 15377\n5817 86418\n61586 87661\n59073 77626\n43434 51875\n10304 67324\n8095 60960\n38639 65139\n9991 80509\n32659 60523\n46618 53866\n201 54067\n53174 97818\n28641 50920\n1419 65394\n25816 62767\n55319 78890\n30927 73876\n38707 71134\n25886 71148\n43573 45237\n77481 78570\n12196 93514\n10695 23160\n41025 72731\n39953 83921\n7896 31902\n17770 30160\n10275 37015\n11668 94749\n1680 56472\n24959 25710\n25354 82266\n183 29233\n33114 90894\n38355 57338\n86346 97514\n17688 97325\n25508 75819\n68992 93893\n60032 80469\n30947 33245\n57011 69670\n67919 94388\n32006 84593\n25150 39236\n3967 41644\n4013 49503\n35296 69752\n4730 85220\n63831 75652\n4668 42235\n13189 31487\n32358 67337\n4410 42744\n79835 90882\n51082 74385\n23549 45934\n17949 56580\n18945 74529\n27509 95777\n82135 98424\n10094 49816\n33009 34840\n40009 85645\n25442 42907\n21715 34163\n55635 93003\n47006 96872\n12474 74569\n4337 73342\n9729 37627\n34016 50482\n6222 79822\n18056 65271\n43544 44439\n88219 96906\n72943 95728\n2895 97726\n13418 66049\n44207 77194\n38762 73327\n44539 55710\n68034 80218\n78433 86080\n37030 81798\n6259 25486\n65076 80023\n23109 54540\n41796 79005\n22764 24324\n54605 85652\n26412 97177\n15028 72013\n86588 91582\n9663 59320\n11615 55262\n7967 66802\n821 67778\n1158 39670\n15025 22873\n23602 56851\n59738 97165\n18295 56989\n22243 73129\n69480 91354\n36195 57257\n5674 14868\n9029 65564\n26397 29985\n76283 79697\n19505 89288\n4107 27106\n62592 87626\n18241 73383\n5009 25081\n58900 80478\n62281 95050\n56172 81953\n55719 91424\n33923 63237\n12774 14282\n17718 36514\n41221 91614\n8185 32368\n50018 61096\n74293 90881\n14972 66097\n27052 32487\n1853 6836\n83955 85014\n10535 97669\n15344 98654\n15744 91421\n60005 89038\n60940 89325\n67454 77650\n81341 85511\n38597 74423\n65031 70613\n30487 98262\n27464 40000\n61637 95740\n36047 54501\n7155 52330\n6577 19210\n74510 95112\n32427 94807\n18571 52124\n4024 61410\n73688 78494\n6175 51147\n15051 51105\n44581 66089\n7056 41564\n16102 75148\n28620 61414\n35085 79660\n15142 86244\n26543 75761\n28020 30886\n58432 77704\n20711 65157\n89755 94714\n30129 85697\n63337 95981\n8551 9395\n17017 23948\n39912 86475\n27722 78392\n86784 89278\n7915 87982\n50591 77306\n10660 78652\n7845 52171\n38509 93348\n35165 67925\n59360 66838\n25819 34517\n38764 78193\n6719 9110\n1093 18266\n44449 60656\n30066 98125\n43894 84197\n44158 65866\n24565 66190\n34920 43314\n61718 61856\n33727 70853\n47586 68740\n17387 30535\n12715 92629\n85555 91983\n70419 83459\n29380 30024\n18508 76670\n73873 77216\n59538 60116\n9807 32603\n22792 39755\n36504 41962\n9786 76321\n876 77605\n52893 96844\n28168 77630\n50691 87537\n468 26359\n85544 96660\n78647 95631\n36015 38424\n17585 61982\n72254 90367\n37024 94917\n49599 82915\n44496 47676\n73888 74077\n58181 66071\n1905 22024\n35757 80279\n62526 70536\n52435 98926\n42454 95685\n25578 88883\n7235 34564\n32774 85384\n83817 98502\n58581 90215\n74044 98741\n9029 34153\n10877 49544\n1108 62518\n73497 75874\n65553 81853\n29666 52641\n30773 42046\n20453 70701\n13472 45286\n3133 80112\n16578 40624\n6007 76860\n10896 93681\n37652 90614\n34504 73584\n77029 96196\n49419 61085\n58356 87836\n41515 66052\n17414 52367\n6023 24296\n901 47219\n30185 87067\n81518 90074\n55299 87175\n14726 93306\n35862 56954\n15406 92631\n9657 58989\n2213 22813\n28694 32698\n78067 89148\n34386 98273\n66474 83881\n37069 97903\n10098 36172\n3089 67366\n12298 93687\n91008 93563\n16114 37533\n28155 87839\n45731 95561\n19011 68898\n59749 84749\n29013 54571\n2019 18384\n45184 51073\n42675 85536\n31488 53829\n40467 72088\n11462 91751\n6993 43013\n6499 54567\n13944 97476\n29543 96660\n34429 96214\n25797 27141\n20495 34162\n23408 88926\n43786 64802\n5411 97491\n21807 63280\n93920 99811\n11575 71913\n12581 30720\n74981 91158\n13562 18101\n11239 14158\n12514 62009\n653 93537\n22537 84134\n12370 32217\n37998 98304\n56680 97295\n1118 81877\n6386 81897\n36757 54438\n85780 99976\n23106 35816\n24507 24711\n70844 89641\n9878 51925\n9599 63952\n52347 83364\n45920 95851\n66535 91169\n50462 52180\n13069 23019\n18334 31383\n4060 15544\n8702 84772\n43228 61127\n26512 68271\n25740 96687\n28411 30821\n25915 92974\n17974 96565\n48995 77749\n85488 88643\n79120 79842\n68682 92466\n75852 89914\n56643 94980\n22043 74604\n57719 63885\n51877 67877\n12084 53027\n32100 45117\n5418 39217\n20602 35005\n22641 24260\n30963 63869\n6339 88852\n60261 88838\n41397 60217\n50139 79147\n26272 63383\n56191 63853\n41952 91446\n66072 98212\n42464 62420\n26316 60908\n29565 63744\n4880 8075\n17704 30165\n86667 87489\n81940 82904\n53279 76235\n79029 79353\n35355 98706\n21057 71981\n9879 65539\n13939 97347\n86157 94281\n72152 86627\n64452 90277\n29632 36805\n70331 72082\n22307 42119\n29670 53915\n52428 67722\n493 1557\n52021 61845\n84303 89254\n72414 92722\n42851 79759\n59280 89453\n9183 42389\n7889 71122\n42917 78391\n13048 57239\n27090 43125\n40552 63960\n51231 75328\n39831 51026\n22189 22892\n16998 99660\n53666 68298\n14322 55036\n47076 73492\n76407 95379\n48273 52550\n41525 75340\n55293 91811\n13426 66016\n66626 68423\n10689 19595\n30233 50733\n48825 81359\n34587 86617\n55467 62440\n55792 63850\n74097 90874\n34981 35738\n667 76174\n26792 52575\n32372 81794\n17913 20527\n3905 26695\n31620 40065\n38474 94248\n52178 99149\n5201 23159\n2109 36473\n2294 47152\n12776 37166\n2021 56452\n61696 95764\n1462 21782\n21937 35390\n12397 28758\n34798 40184\n15699 73604\n1360 48953\n27658 98939\n39691 53636\n32798 98026\n38398 82429\n17579 44396\n46336 60975\n64567 83512\n27213 62395\n19557 31599\n42814 85304\n37985 58853\n50896 82359\n23050 86081\n24901 38192\n14558 29227\n36721 99947\n49459 56792\n83897 93001\n84731 94197\n21351 84027\n10245 44472\n7012 48766\n47277 59156\n35052 89822\n15600 76903\n32224 73234\n21038 90039\n17329 63748\n65860 98498\n28655 74933\n51674 71671\n93626 96206\n41188 44505\n24533 36363\n61400 65553\n64842 85573\n13350 92688\n89379 89528\n86459 93391\n17795 24712\n13224 57476\n59457 91983\n54851 79536\n40293 52858\n33274 66566\n5574 41972\n4239 7944\n32180 81518\n45632 82234\n12515 23456\n53279 54311\n66457 96360\n62098 76672\n19494 30750\n87768 90193\n37934 67508\n39448 92926\n56060 68351\n48909 63523\n11922 13215\n13662 31009\n54454 92493\n28305 88445\n7454 32907\n43672 50026\n31713 79501\n36174 89788\n17289 66056\n77119 79739\n19118 64254\n9059 85067\n64682 69208\n20161 51428\n24638 55787\n40173 45362\n34375 71877\n2978 71269\n7688 42005\n604 26493\n60411 87787\n47201 71236\n28516 33697\n7695 90005\n86357 89070\n44171 48180\n78528 80940\n18512 95095\n20209 84312\n4741 20453\n13545 87073\n41256 96811\n47556 82463\n8803 62774\n1798 27859\n21678 97275\n61228 88594\n1094 86178\n24907 84506\n6432 23605\n3289 63843\n8750 73610\n22490 43463\n19433 71423\n29867 77376\n33894 73878\n48035 71959\n26642 98004\n9663 77020\n10481 75031\n4011 16549\n14125 18957\n33555 47637\n46291 91964\n13227 28384\n1981 38756\n22384 45539\n30770 97093\n52237 71661\n29483 78619\n61916 84355\n20625 36778\n51025 77455\n38317 48666\n7258 45006\n16183 54259\n21369 80080\n35331 39709\n2754 14606\n13717 77735\n34299 48100\n46285 81623\n62168 63349\n59815 96438\n28607 89650\n18197 70373\n21782 60590\n3561 39183\n49598 54158\n43220 74004\n38804 69426\n13472 18697\n23560 63357\n26141 67109\n57986 66492\n47418 68997\n42255 65780\n39339 69424\n35392 68651\n23437 82130\n24242 40458\n65752 93759\n68443 83336\n57479 71240\n41002 88163\n15788 27248\n9583 89133\n53589 59376\n20352 86504\n17478 21999\n12751 44741\n31073 68705\n16314 51589\n72250 78339\n83317 84640\n20499 50575\n17149 79232\n23384 83902\n31015 41472\n75285 99250\n42626 86156\n86167 87196\n37728 41902\n11606 73045\n26293 40686\n358 23094\n49731 91903\n734 62442\n52933 70148\n14016 28437\n19888 33881\n13852 63442\n94051 96263\n36242 56802\n18933 99957\n34686 38723\n21574 39843\n8276 75823\n11862 77153\n20364 60670\n14114 64311\n32939 82195\n557 2086\n10334 64120\n79118 86026\n48950 62818\n22714 88804\n48423 87372\n40650 72338\n3769 87339\n57155 90520\n4424 83801\n38886 52175\n37609 59804\n47124 54883\n26893 84626\n6847 48447\n69481 77056\n56087 66853\n35444 96067\n18007 83235\n2106 94089\n19262 65685\n7534 26706\n11120 12308\n90266 90789\n23140 47439\n51177 56944\n77030 98691\n15740 77498\n7956 27988\n45352 54364\n89968 97978\n77708 87312\n10515 93553\n16968 21168\n1658 73189\n3991 94040\n11877 37853\n12361 48854\n61186 99594\n7447 58651\n54435 80530\n22822 29830\n19826 60868\n43112 72293\n25187 87540\n63216 83388\n12987 49306\n37918 56306\n32123 99356\n26286 71012\n14297 88522\n25245 79241\n23272 23650\n9505 97195\n31531 67475\n25354 60095\n28915 51356\n21365 91264\n20225 66966\n81320 83433\n59680 69952\n38170 80793\n884 80176\n21535 48539\n21828 59309\n12320 85906\n140 95714\n1262 74591\n22503 84926\n68562 77876\n20574 87252\n37312 59303\n79224 80008\n46294 84988\n4216 43042\n12507 44395\n77836 83946\n57752 71207\n2306 75536\n10116 57507\n49615 71159\n8732 74045\n3648 94073\n74155 76191\n35232 45852\n27609 60509\n15741 84546\n32439 41719\n48990 97775\n60969 81539\n2876 71688\n644 1575\n72927 97898\n90425 91067\n14042 70919\n32024 38501\n53695 67005\n17759 38167\n52767 70190\n1056 62287\n4787 36854\n51470 56758\n58277 85528\n5927 26359\n14828 54674\n88045 92344\n37883 69427\n35755 40839\n12864 93695\n27401 82698\n13952 35905\n52250 69989\n61903 71867\n3723 90154\n1484 8457\n22548 75577\n35537 50715\n45407 52175\n53364 68127\n48163 91206\n1795 79827\n2547 51209\n12569 41249\n54970 69168\n7643 73504\n59508 97382\n23096 77460\n41545 80302\n2449 68703\n6257 43302\n15280 96462\n19845 24188\n37462 47731\n6163 25348\n33039 55470\n9456 12423\n62527 66445\n53865 77319\n37055 61738\n7783 14266\n33736 77010\n17612 44249\n476 8697\n53377 79960\n61035 72289\n522 4654\n38958 46117\n68200 71943\n25586 80164\n22664 39602\n47135 66924\n11795 43053\n53049 93846\n15250 88285\n86115 96322\n14731 88488\n16817 17669\n38297 58679\n32328 54197\n21692 51313\n60659 80462\n15990 80524\n25795 38081\n10749 30433\n62604 70913\n12780 92911\n38285 39512\n59638 86565\n8474 88007\n51072 56293\n8996 74934\n14241 87147\n11166 51590\n45336 82659\n44123 61416\n38404 62086\n6076 74708\n29750 78374\n3443 48324\n19198 30455\n60762 89201\n2691 37329\n37904 66820\n51326 55574\n25110 59064\n27889 78533\n1906 54519\n10644 79609\n25221 84104\n29429 32890\n2726 56419\n7975 43190\n4675 96280\n1998 79025\n91884 97878\n21219 82099\n29880 35479\n4300 99705\n51941 93218\n56158 91655\n50208 60402\n25000 73174\n15407 34624\n2824 23469\n6753 96049\n147 9763\n21640 77275\n3699 79004\n20921 75954\n23072 35377\n34656 86896\n43479 76704\n29276 42915\n31702 53575\n723 3554\n43212 85459\n1229 10437\n13209 87467\n1301 60223\n962 5850\n11015 68065\n54444 99599\n61211 76014\n34964 38181\n51651 93220\n97556 99446\n9494 77237\n15615 91731\n19983 68356\n67954 94469\n46108 80911\n65907 71078\n59178 73804\n3284 94668\n43499 62251\n77413 84829\n4670 17958\n3665 26294\n6967 21015\n37651 58366\n9897 65657\n3792 85304\n33953 75943\n24221 88775\n9266 61387\n24440 77306\n49996 86664\n35003 81467\n14693 32516\n1139 71206\n86558 89377\n52398 80103\n45214 96816\n16868 70219\n21298 64813\n3563 45976\n67192 99825\n10224 93097\n28141 78157\n39898 72868\n67193 80376\n3443 92039\n59987 82522\n1893 29171\n51818 91844\n58114 93319\n32715 33126\n33008 90418\n20257 52165\n15948 87468\n81704 99687\n25091 32001\n67539 67763\n30519 79263\n21282 60269\n53879 60412\n16122 73305\n41 68017\n10001 78492\n21346 33658\n25628 40311\n37527 58346\n30744 80435\n26556 94710\n56380 81463\n47347 52452\n55079 81679\n840 39862\n61656 70285\n56072 81503\n33834 46478\n13547 59987\n10405 58415\n42408 85210\n64287 82917\n13126 25358\n31479 31506\n37104 85444\n20839 91233\n51940 57201\n36721 37584\n37974 76387\n64124 84197\n68712 77592\n3415 85562\n45240 49829\n16582 33219\n7760 61926\n21244 33428\n78108 88256\n44796 70991\n54629 62582\n45395 52473\n39432 44672\n26295 89944\n27485 83224\n6540 68015\n2864 17792\n8771 66906\n16809 84089\n33055 73100\n10953 44465\n4857 46076\n7342 71440\n59996 83572\n49164 87348\n40805 46303\n9215 36074\n48325 97540\n51087 57110\n14124 71164\n20621 38900\n14661 73854\n37538 50206\n43449 55423\n5692 59358\n31651 39919\n13954 96334\n42854 82158\n1453 83068\n55626 61512\n28688 95447\n59324 89541\n26819 83072\n17265 44046\n35458 86230\n2730 15186\n31350 76015\n7758 90326\n1734 87129\n33545 76140\n16863 27169\n65147 69202\n59888 67337\n32121 89659\n23077 37912\n73901 90435\n28594 38914\n2516 74722\n34651 39425\n38258 77916\n36852 85928\n19347 56602\n11573 63588\n36816 70316\n46500 66003\n13816 49543\n7757 36438\n4778 92253\n53525 99723\n33717 40913\n39237 51981\n39615 39767\n78752 79900\n39751 96684\n74076 86860\n16201 26923\n3133 35715\n23963 87546\n29433 58574\n22093 47755\n22831 80415\n19077 55904\n47392 79327\n30678 96413\n55926 73007\n31475 81654\n25382 63594\n6038 44262\n49976 51790\n21643 57524\n31018 46117\n10141 21931\n6189 89441\n32765 51970\n21149 91101\n71525 96091\n49676 67404\n52940 99243\n22199 31297\n45279 53131\n7553 67121\n26050 86826\n11424 97253\n39310 47871\n41285 43573\n73606 86915\n15574 55674\n24709 81597\n62813 66622\n40170 76488\n39997 48607\n28059 98164\n11053 17151\n42073 58028\n10605 51811\n9146 32848\n70879 94321\n70574 79289\n93125 96033\n29081 94691\n88838 95420\n32520 47714\n30571 99932\n22126 78282\n11983 18841\n16175 25654\n14830 90087\n374 1552\n50091 54071\n29411 67987\n8324 72131\n2972 89675\n87917 93748\n34901 99406\n57706 97998\n62274 82993\n63541 81636\n2845 39287\n11523 15748\n10590 28035\n51456 95904\n15450 97729\n22595 77595\n11590 54259\n3262 60463\n70260 80254\n21941 33670\n53438 65410\n4873 50132\n31429 55630\n62606 72306\n43782 54156\n69217 79540\n15815 83119\n31616 54379\n10426 91476\n88861 95674\n58366 74050\n20947 88811\n15953 32332\n6633 94482\n28095 38968\n11536 21389\n58661 87933\n46095 77807\n82101 90801\n16222 28308\n7288 60132\n74801 95439\n56313 56729\n353 75283\n3729 52182\n8875 49933\n96524 97604\n58886 92128\n71180 81161\n3136 16725\n73672 96355\n35876 37816\n10621 97417\n13553 51502\n2055 14710\n26824 89704\n14884 79065\n29419 46473\n60114 72688\n39580 47639\n5963 38035\n31930 58186\n23059 42899\n32910 87676\n20442 87871\n92256 97591\n1489 77559\n1154 88932\n36884 68982\n18322 88795\n12889 44524\n76432 99036\n75617 98959\n75476 78488\n74519 94831\n1156 60056\n2027 77543\n38212 60376\n68647 84886\n13972 38328\n59656 95890\n2879 56377\n43357 91078\n2921 38540\n72884 78005\n24320 68004\n82267 89077\n26094 50899\n97177 98988\n20132 41116\n58837 73825\n9088 48968\n31396 46436\n169 75235\n73183 84132\n502 66831\n32934 50828\n28058 88989\n19539 35285\n69209 92039\n9063 92494\n13161 64883\n22397 90105\n51223 56146\n58566 96442\n81176 96632\n34525 95937\n6363 41577\n24823 77207\n31332 96447\n42874 89714\n72378 82098\n73503 86076\n9294 10736\n54041 57322\n24039 45069\n39352 96326\n35946 71345\n21604 61020\n3095 58492\n13938 32749\n60556 98839\n5882 45850\n11943 80250\n24354 38679\n16174 30844\n15188 19206\n17231 20419\n27067 63254\n58317 79844\n39661 77961\n37809 79338\n27481 52501\n29439 94515\n17975 65653\n33745 50198\n826 46711\n10919 33991\n18431 21017\n33041 76269\n40469 85206\n28917 42856\n61677 78750\n55732 92339\n71433 80127\n50079 63560\n32723 71828\n37498 62410\n11345 23507\n50364 97583\n24918 26063\n38838 89361\n5757 45722\n7432 92130\n15318 86592\n17658 59184\n57479 92968\n2811 52210\n14163 79494\n24977 63773\n29303 90720\n24346 79888\n54431 64039\n17473 61290\n31601 33580\n69334 97153\n7700 82509\n13570 28261\n35978 71838\n6994 32716\n21061 37379\n16220 22055\n39012 69819\n19610 56397\n34500 93326\n11147 53331\n26996 31919\n53751 84580\n51336 85216\n72638 85414\n60414 91513\n1191 1411\n10831 27610\n28917 53624\n25077 66990\n14047 48707\n30612 53080\n10583 95823\n87352 92738\n20815 37200\n18239 75143\n51342 64792\n36121 38204\n13743 73488\n21193 50144\n12599 44466\n48936 77876\n57858 86719\n21325 80340\n4857 87265\n32223 48691\n66594 85529\n35815 64918\n26037 94456\n54024 89937\n45461 48977\n54224 93356\n47138 52929\n19036 91591\n64319 79559\n73944 82136\n50991 96071\n38010 54433\n28990 36190\n68134 74861\n5334 31638\n76927 91557\n15758 18454\n3025 27685\n29188 64933\n76672 98115\n26040 98299\n62430 68218\n56450 93806\n49710 63567\n30889 42584\n44050 94739\n29825 56539\n25698 71068\n22183 98186\n14189 17795\n68889 80334\n32933 73965\n4790 17928\n20485 74733\n19196 19950\n48623 56304\n31335 34296\n34225 50040\n33310 96521\n16929 44002\n64191 91747\n42861 80199\n24023 71192\n29409 38061\n746 36538\n70988 91164\n14059 53938\n28925 50400\n18701 62503\n17201 30512\n6848 58945\n6747 83475\n20903 51763\n85831 89958\n16188 68650\n80167 99276\n52414 75759\n46877 93089\n61776 72451\n47992 57503\n3215 86515\n48976 90170\n76058 91007\n57992 62792\n21971 60765\n37473 46879\n65353 99667\n8312 12714\n77311 87615\n17755 73470\n40543 64184\n10157 95125\n50895 58622\n16290 63817\n20044 44298\n19088 81404\n27503 94706\n70678 85442\n27294 62286\n10433 32588\n16625 30225\n29450 33102\n59113 67758\n38409 98846\n60394 76080\n48891 77782\n2534 14433\n8947 89783\n9375 27186\n39362 55993\n38026 63980\n10027 16128\n60878 85096\n3985 53867\n4291 98368\n76620 95171\n90930 91191\n29235 89962\n16152 81016\n53893 55852\n89177 95879\n20354 51836\n32679 39853\n31586 62979\n15245 38645\n6000 41198\n11699 30286\n8113 55018\n33592 78293\n41929 96857\n9241 59178\n68400 76701\n16265 76282\n48203 98417\n48871 92375\n377 63203\n58208 70361\n48041 52096\n69381 87272\n85827 90621\n920 77661\n63054 93608\n71030 95954\n3199 81590\n27192 85651\n47695 61150\n37656 43481\n10510 42529\n47640 94253\n10887 76094\n4679 46586\n43578 95288\n34585 48357\n23467 93927\n3582 76415\n39743 57669\n55032 89342\n24750 96619\n4262 65218\n62294 83015\n39868 86050\n58733 71483\n24310 43201\n5674 44489\n26293 50869\n88667 93128\n24000 44273\n27663 40572\n47119 93184\n6781 59275\n83882 93570\n71305 75844\n853 45581\n17307 65217\n11292 65447\n15160 36799\n37987 77581\n58183 62102\n24896 42663\n2950 27991\n37694 60173\n1091 71567\n55390 87898\n34068 89409\n21473 94258\n2799 12531\n13169 30901\n19821 69855\n19932 36698\n22056 32662\n265 21555\n11639 61897\n38134 84812\n68931 72876\n10771 82505\n66939 78061\n58654 85150\n18317 91889\n3747 29422\n8526 99217\n24749 81436\n26623 42908\n62516 65117\n3716 84439\n51170 53514\n61345 78722\n22807 51953\n25762 93310\n21670 37197\n11846 46963\n50912 94402\n28524 55738\n25476 34615\n19809 52319\n1625 14473\n61540 61625\n53700 66802\n69543 71222\n25149 98904\n18464 23407\n44348 55858\n6753 40687\n79191 90413\n67473 86590\n11859 36296\n90645 98974\n3063 72911\n14736 94028\n60207 66436\n80441 81329\n17192 18759\n62224 92644\n62906 76079\n22082 88101\n5974 99374\n30061 74249\n9365 27130\n38458 88519\n4826 62063\n9318 17708\n48979 84477\n78852 85393\n820 5237\n79402 97702\n81321 85699\n35528 74524\n16224 79487\n35909 36920\n13052 86548\n7373 41988\n14045 51147\n27290 55012\n47712 68458\n10664 98673\n5026 15398\n11970 37902\n52712 99109\n29579 38610\n6671 64712\n3389 18172\n5831 40157\n20324 92884\n11800 33787\n48963 87018\n21091 90314\n21637 88529\n29044 52889\n94464 99505\n2864 67202\n51733 67246\n46095 59055\n21385 47159\n90540 91850\n51391 58199\n51815 93188\n48391 54271\n40092 97414\n48530 71735\n18865 60390\n13183 96764\n6067 17351\n57100 60329\n4202 85593\n31381 68307\n66240 80728\n46740 57125\n4608 48776\n9977 10092\n12531 95816\n42978 73231\n10906 87189\n83835 96121\n14701 79814\n40649 97987\n30719 62393\n5276 41365\n18005 55482\n3178 10003\n26345 66882\n26218 79024\n48734 59644\n29297 34689\n53456 63402\n12521 79252\n49695 94000\n49032 93344\n44056 50990\n35592 43942\n18772 95117\n28684 65233\n17257 31058\n47732 99170\n20393 98426\n10896 86005\n18366 83138\n25983 65289\n27114 93333\n15488 70472\n6469 62876\n40991 68942\n34450 71159\n61864 79114\n41215 96302\n27001 33448\n46866 94423\n6450 10953\n75748 93040\n55611 64341\n43373 93185\n66601 72996\n62434 75254\n48239 89578\n17937 51813\n13999 58880\n3860 85776\n66061 86986\n1695 12974\n76652 84685\n2075 93861\n81948 91411\n40663 64002\n6290 46989\n52219 56608\n53030 79210\n44274 51790\n52488 70067\n72435 98576\n7901 36944\n19543 41247\n27072 66138\n61926 90212\n24053 90350\n22706 26644\n13438 57869\n34279 98974\n12773 79945\n45769 88037\n78613 80239\n51494 94700\n66264 94556\n47139 64558\n3474 97180\n84741 92340\n3791 52467\n2002 78510\n19194 70836\n29492 51913\n4035 49897\n15324 18109\n6985 14740\n40711 86550\n9838 21688\n63212 85827\n2986 42691\n15128 24715\n55229 82991\n21520 39482\n78076 87590\n58879 88089\n1370 10339\n34379 52452\n80119 82825\n20575 23788\n65036 87953\n13849 45839\n17001 62840\n30415 41006\n47393 99879\n20545 75779\n6185 67505\n1664 49148\n3633 38232\n69574 79326\n49467 82269\n11771 50099\n8269 98313\n27142 97378\n9527 72360\n46637 60257\n14653 57869\n8308 39979\n24075 39599\n17013 37808\n31584 90597\n9632 58556\n70929 81176\n3980 14737\n80453 84554\n8113 49795\n71316 84062\n40097 50545\n8 13563\n42875 55812\n9377 74617\n44675 58080\n36713 87845\n12971 57754\n34964 45160\n58996 81111\n12165 43938\n25289 57834\n26074 68019\n1283 86591\n15740 79756\n2052 10942\n69235 80224\n57393 81027\n28844 90175\n68058 78449\n29835 78384\n36756 57748\n29618 80799\n2160 25843\n55331 72043\n48734 79367\n68859 97887\n7947 45399\n59892 87255\n21616 84507\n5144 97941\n22967 64582\n50124 53569\n20036 70242\n35895 36272\n43313 92336\n50108 85992\n44717 67514\n24221 97208\n69648 96422\n72184 97532\n3926 59451\n7301 56760\n30487 58161\n15351 92213\n16423 52214\n46239 54539\n26157 42139\n57996 72762\n5247 7851\n40553 48259\n74119 83482\n3456 14713\n81225 81322\n49242 80632\n49576 64051\n62314 71384\n10837 59879\n23672 53116\n52098 63232\n16934 33206\n59059 66022\n25540 32573\n46361 53507\n13257 49239\n26884 85625\n39206 50906\n22137 85839\n34741 40472\n6806 74977\n32048 56528\n61245 92277\n10995 44912\n31248 65381\n77140 83985\n79841 88271\n57514 80442\n18209 37117\n30211 57451\n21523 61148\n368 59349\n35767 97327\n23948 31887\n42186 78196\n30318 35682\n41194 43964\n38116 39843\n7617 29733\n42888 45835\n47439 94879\n44038 62766\n49258 51296\n4087 54998\n71324 98433\n6932 48046\n16161 95866\n4117 74963\n4822 83559\n64608 66482\n31600 85859\n14067 66494\n3886 50106\n599 28823\n35950 77762\n15116 91207\n67801 87085\n36071 61391\n62607 87735\n19795 75930\n37597 55952\n25685 43744\n84856 90742\n24407 33291\n19026 20823\n15299 39146\n6436 81844\n12139 72007\n44018 67825\n18043 79995\n1888 24193\n6551 21779\n58457 61858\n76584 77767\n20913 78214\n36269 78573\n22375 99158\n57946 98441\n37825 74299\n58140 65974\n8249 80606\n32967 88853\n17393 91226\n1451 80186\n3743 54428\n9287 68143\n18476 21679\n12424 83974\n1149 90863\n7716 30163\n24697 30001\n23647 80187\n55530 58929\n35848 56046\n66403 79936\n59524 72442\n28151 52643\n13741 19874\n30604 92659\n30825 33940\n28659 63193\n68699 86611\n26616 78243\n46323 69507\n5756 18678\n4358 95308\n22290 36769\n20399 45376\n11169 48330\n33677 59857\n22959 76549\n85898 94912\n1587 63711\n17602 49829\n82266 91295\n38931 40841\n28999 41243\n32101 42701\n27048 72979\n72845 79685\n11771 83221\n22120 57557\n64394 98362\n26019 30228\n11335 20967\n15750 93048\n47939 88615\n17646 19050\n40292 62628\n51126 83472\n65741 65776\n16183 49546\n10748 85977\n10872 38240\n6679 82113\n65227 82198\n3296 13986\n56832 78017\n25557 29702\n11032 22726\n39362 94208\n64126 92030\n60952 77536\n16024 28539\n2136 93626\n35545 62681\n48728 94161\n81657 89749\n3897 29357\n50848 83730\n4189 20529\n19740 78126\n57966 74729\n58009 62101\n43307 54629\n3810 83874\n42597 73827\n58348 92334\n48767 67722\n17363 25659\n25130 90921\n16720 67818\n18846 46815\n19401 67554\n15226 70230\n310 69232\n47078 81207\n17732 92156\n2174 49568\n11046 93463\n47517 71857\n57545 69873\n43930 79934\n15954 45560\n5428 68228\n1582 41692\n70690 72533\n30484 68729\n63062 68375\n20600 66321\n30053 38607\n5343 60641\n43849 76237\n54448 91494\n4907 81898\n34423 72229\n28174 90085\n10686 16980\n50151 83928\n7100 9756\n7756 87786\n39537 75465\n79652 87986\n17771 55079\n17549 45490\n53905 80182\n16739 97823\n53899 94472\n16047 52386\n83004 94000\n23531 97711\n7341 60778\n18296 72821\n55108 89755\n19364 31044\n16094 17142\n8192 50945\n50211 90898\n87078 88986\n30523 88232\n8702 10051\n50312 83046\n22712 95061\n12952 53108\n10847 87565\n86464 90336\n72587 79270\n53006 81284\n23775 91171\n52626 55534\n20768 63700\n67677 89786\n34181 69418\n47673 76200\n1092 32921\n9141 25002\n62190 82428\n23918 54103\n25064 91408\n19551 21331\n10926 13533\n26060 35193\n3604 51887\n62959 83617\n19893 33022\n90569 98461\n14668 58122\n27170 51712\n59883 94743\n4811 25591\n37545 70711\n7092 68805\n30886 93738\n7738 20368\n38275 71069\n46845 68377\n53312 53636\n12353 55957\n59317 91546\n112 28829\n61460 80276\n1902 87743\n43583 50969\n14672 28378\n47314 93992\n75453 96436\n25116 26527\n32278 54526\n17492 64169\n41697 45150\n58326 82576\n58240 78898\n45173 90521\n43247 55399\n39644 49239\n39794 58454\n5404 76857\n50457 87542\n28488 68046\n59073 72839\n17490 74810\n7403 32618\n2197 90278\n53404 69684\n46055 72285\n59399 69886\n39186 80463\n50482 90343\n50021 82111\n27571 61294\n31860 68361\n23198 96836\n73101 92931\n72987 99723\n11784 21565\n10256 41304\n23867 57193\n5597 90632\n36502 93837\n53107 59576\n7732 32937\n18711 37340\n11771 49843\n2412 29666\n49872 59730\n46778 55404\n25664 35050\n21637 61194\n41606 46472\n72825 81105\n56248 66119\n1893 98230\n57782 67375\n84426 99157\n21829 39413\n15131 75088\n8184 75557\n3628 33321\n48680 69502\n54905 74650\n37026 39362\n91810 96831\n13822 14885\n12491 45341\n1393 38195\n13532 38694\n25732 79470\n36119 68995\n2467 41118\n9795 77345\n30784 76065\n47801 78758\n21865 92949\n6707 33118\n39063 80599\n853 83992\n7131 43475\n83572 84992\n58410 84208\n26909 50994\n27202 28550\n34198 50179\n28980 98246\n33633 43899\n19457 45927\n57891 87564\n76056 76336\n62151 75856\n8102 56121\n45659 68980\n41585 83415\n61475 84637\n36014 66023\n44827 88839\n13052 82592\n22857 68079\n19310 95293\n13000 90812\n32914 86458\n14715 55305\n4010 60040\n50626 93844\n37242 91658\n77255 91367\n19416 40202\n74377 79040\n491 24946\n81366 88835\n42888 44930\n14376 46941\n58307 87724\n22158 25708\n4822 38218\n19930 39490\n20773 76288\n81700 97057\n36357 57296\n3982 21808\n59315 74324\n44276 95984\n532 31364\n1326 71231\n32276 64313\n6983 41947\n68637 78633\n54709 78896\n7311 73912\n41044 83373\n45718 65221\n57741 66963\n28520 78765\n3454 67138\n69751 86638\n79941 90889\n19543 48571\n25233 43206\n60708 78057\n38260 49245\n35605 82098\n3280 50253\n35355 62121\n58530 81819\n50384 87569\n53091 64674\n40123 60368\n36740 90308\n5557 77769\n58571 77769\n50378 98997\n3649 59810\n63943 67594\n51100 74513\n35351 85121\n71603 72685\n51100 57569\n51176 97359\n61737 72562\n75304 81536\n14846 83302\n21000 88713\n40108 70049\n68965 92683\n23699 53435\n43841 52470\n25966 38868\n1835 25051\n1561 12183\n39521 75069\n19479 35540\n45319 78157\n30675 94872\n60900 69369\n67728 89388\n7591 17228\n30107 67813\n75139 87976\n65485 75317\n36024 94690\n51298 60425\n19407 40972\n49139 90457\n27359 81974\n6877 45722\n36712 91502\n21196 34756\n17753 95160\n11699 68699\n7073 18474\n6953 8977\n35112 52427\n52525 82386\n37628 79224\n71934 87187\n46617 51045\n15479 28059\n43856 58823\n36392 81885\n46420 48556\n60304 76963\n69179 92549\n45998 81188\n37453 74282\n25868 34473\n85654 91534\n28802 74446\n79810 95043\n28817 68335\n9272 81036\n28755 65629\n28284 28883\n8866 39839\n1572 91480\n31219 32851\n10213 65528\n57034 60205\n58094 73274\n17138 97718\n16778 45694\n63412 97505\n487 2885\n57429 80804\n33217 98898\n74478 82830\n64035 80543\n28670 28843\n24441 85929\n36230 54708\n22542 59605\n6952 96349\n3865 16881\n50014 94054\n83244 99181\n85515 92650\n4490 83020\n39205 94565\n48372 58301\n19359 75984\n8113 42143\n40449 82950\n61513 69216\n32777 96672\n33659 54989\n92013 98964\n58319 71345\n2103 21473\n43654 57250\n80778 81176\n10130 42772\n60940 61231\n10696 35194\n78564 90159\n6462 23702\n9085 99287\n70388 79200\n33724 58050\n40670 45199\n11620 43306\n23619 24885\n85151 94037\n25180 41847\n40249 44021\n27041 86880\n15405 95051\n1250 66574\n22497 97289\n65069 73388\n45646 66312\n21277 22451\n23706 93589\n70610 86182\n4105 57877\n25055 93663\n6611 64809\n7433 38010\n78388 86743\n74409 97516\n33071 86037\n36032 38282\n6724 69231\n4115 22232\n26329 51194\n5714 43111\n25894 96115\n34463 70645\n3878 61946\n13198 26526\n90480 97298\n4703 95428\n32250 35820\n29312 67605\n39345 65945\n1825 8406\n38204 38956\n71471 83203\n22817 71364\n76606 79454\n1446 91418\n61408 96914\n49120 73356\n41274 54836\n84350 88326\n9672 32414\n9153 56488\n20027 85289\n11382 69126\n11405 51977\n31622 47919\n31676 38983\n72934 88392\n1772 46444\n17931 75064\n67626 73493\n28192 30392\n17044 29739\n57547 94394\n24009 44416\n87679 90767\n66009 97452\n42869 95387\n24388 51091\n88478 95011\n44080 76528\n18685 84056\n3612 38684\n45367 76888\n81007 99601\n71345 84959\n59851 85810\n73382 77415\n51049 58916\n59315 76305\n31008 32217\n17283 40224\n62606 74743\n21061 66844\n33106 33553\n35636 91802\n14781 43288\n81490 97727\n74192 88318\n9851 87409\n34682 36848\n25556 77627\n72106 91407\n74164 86579\n17538 54435\n37481 46128\n20071 52936\n13110 60350\n47114 82956\n4830 18977\n9414 29193\n38386 50045\n52255 94405\n18042 80043\n2422 63557\n64942 73049\n60611 65749\n40678 87330\n9931 65742\n5800 12700\n30850 87388\n37717 42010\n65511 72326\n14414 42268\n7095 43111\n54743 98113\n32110 83641\n5319 18287\n67073 74079\n11544 46982\n52191 56285\n12139 28648\n66548 92127\n2877 83363\n4886 51401\n9282 77651\n40398 52316\n59055 86214\n11441 89411\n14343 51330\n14953 69575\n24825 66150\n82620 90670\n10502 79725\n16119 27348\n94708 98029\n13839 48473\n38109 59443\n27796 39330\n27512 33590\n13559 14955\n5391 88211\n46813 60800\n34776 82049\n25536 57872\n53563 80702\n21831 96426\n28108 48868\n35949 46715\n45570 88260\n36633 95329\n18847 52992\n14811 58973\n30672 59822\n14001 41367\n16181 21038\n28025 41669\n23651 42087\n77384 86138\n29993 56695\n12702 81589\n8327 97676\n26169 54145\n53139 64087\n3405 32481\n1265 12094\n52294 53136\n11110 44369\n7471 31586\n47316 81496\n32717 67390\n13465 56706\n1116 5464\n7481 73033\n36718 61731\n40867 86389\n13122 38305\n5185 73246\n8738 80268\n49377 76248\n13281 46055\n12376 45694\n47851 57927\n79167 85615\n4789 62963\n31142 33107\n10006 42343\n44360 72342\n38788 99087\n48360 78498\n24826 94150\n30503 38189\n1431 88029\n67807 74062\n72045 75442\n24073 73239\n10548 13602\n46555 81415\n49058 98097\n44938 48126\n4674 11649\n52209 89162\n77108 96951\n14665 64809\n12249 27411\n9305 89865\n49598 53435\n17003 18201\n43832 95682\n32045 82697\n51373 65712\n14729 45812\n5049 93154\n63393 84296\n11570 60681\n15501 17921\n10286 50337\n36251 40679\n55560 74473\n25512 26750\n20294 47572\n50870 60181\n30383 84443\n28882 38006\n25431 71009\n56866 73263\n48835 59857\n86888 91766\n32704 85563\n1275 42629\n13552 32357\n61420 95654\n56641 91333\n73939 90975\n14033 64235\n74571 89971\n23320 73856\n17061 50863\n1779 98079\n79236 97964\n16485 16539\n11635 98881\n86837 94007\n36547 40431\n16408 99450\n7027 48481\n55672 56106\n29935 65335\n49820 72241\n38216 56329\n2836 79673\n13179 65916\n54056 72963\n38454 46649\n5738 16080\n79701 96164\n27086 97224\n66913 76923\n34035 70595\n52429 90334\n5540 20259\n8906 17884\n2183 25034\n48352 99969\n21072 53002\n54892 73942\n60254 93020\n7224 28053\n2219 41115\n10396 85917\n38376 60719\n83474 91113\n29084 43396\n2400 31121\n50413 88955\n3121 42477\n21201 95317\n59055 71294\n25439 26822\n3554 83905\n18869 69887\n12526 79590\n12269 94680\n6840 23477\n33045 39138\n29707 85646\n25346 70630\n77415 79920\n1516 35049\n78058 79570\n67632 73207\n57839 84256\n25960 42676\n40022 54795\n68488 77849\n1228 49130\n43068 95631\n6773 27595\n43014 44562\n42183 73635\n27966 44534\n39148 96124\n13993 52560\n16061 42012\n48604 49029\n7708 84589\n9744 14713\n16127 93217\n1757 37536\n40357 64711\n5534 7991\n35798 77620\n48614 95796\n55259 57291\n6106 75317\n40605 67802\n39238 57452\n33675 75144\n90528 95931\n55443 83250\n36623 68799\n28387 59194\n37884 56944\n52113 76558\n96064 97758\n49774 66090\n82920 94646\n2749 12474\n9990 15462\n31462 38267\n74406 90637\n1599 49956\n68007 74425\n64810 83777\n17069 92023\n33043 97576\n3045 26336\n81031 83968\n62988 74612\n29281 94317\n22124 80854\n55845 98234\n7056 92875\n3698 90875\n19048 70448\n71303 76658\n10364 94077\n11256 81508\n61933 71012\n47413 80391\n3653 41424\n10237 67419\n14429 48979\n20707 23833\n51778 53678\n445 26065\n17353 96878\n14214 14416\n22540 29607\n39194 49944\n59127 65553\n29260 46146\n211 46464\n9660 20271\n32237 46409\n64372 84736\n26545 57233\n5876 76208\n52679 78357\n25491 51568\n87770 92466\n13605 31582\n53134 63792\n52844 70031\n36329 97755\n23668 79888\n51153 73422\n54420 93521\n2693 38795\n21744 39541\n9898 42840\n23257 57250\n24711 35541\n3091 81907\n32617 81437\n81729 92161\n39746 80975\n27193 67970\n5341 27993\n12345 16759\n8011 15878\n17847 41176\n4857 99492\n57690 95991\n67794 97141\n14104 89821\n10107 27669\n38086 86202\n41848 95364\n35329 60187\n34590 36824\n68841 75364\n13045 87834\n8662 10887\n84882 96000\n85601 97782\n26574 37751\n26049 34396\n70552 93702\n8391 66934\n31170 45907\n43588 70243\n9228 96346\n41736 50652\n68345 87494\n12757 73549\n61727 69800\n1041 50514\n24097 54347\n4510 82607\n63760 87871\n18781 78080\n13536 97821\n3899 59063\n11739 48795\n67554 94094\n78357 97084\n3471 11185\n2749 88608\n24042 49484\n41941 85278\n46046 75868\n31838 95710\n96397 97601\n14690 22341\n41312 66531\n10893 13876\n42869 61323\n76768 82959\n15641 59683\n12206 58078\n4033 96412\n8418 42079\n49361 65009\n17376 69978\n87618 92039\n68290 99871\n76400 97417\n34820 36501\n4426 79755\n1415 81987\n49866 95064\n23934 72713\n29605 66219\n30481 54473\n3888 77917\n9371 27792\n6809 89006\n57012 79462\n29788 43976\n414 44598\n18564 47253\n15651 27996\n44598 75594\n88162 96005\n71813 79576\n46326 74387\n17991 81941\n28484 57120\n3309 79503\n3655 9666\n29159 29500\n12262 82165\n15671 48806\n3404 24507\n20074 73836\n19856 43997\n18677 46802\n26684 98817\n6386 31887\n5563 28832\n65276 78216\n45925 92597\n25244 94708\n56942 64556\n8893 9300\n27667 69641\n28960 60864\n17086 87945\n12290 17554\n46492 95955\n25704 41738\n17492 85245\n45745 79134\n17572 73118\n16017 92579\n5007 26938\n62595 98765\n54819 90275\n49488 54719\n15183 70658\n50762 80635\n48472 93925\n18770 31002\n8610 46881\n5980 41265\n64040 64704\n59821 97396\n28037 81576\n25593 47270\n70666 90563\n88034 97129\n10910 30358\n28317 65633\n82368 98243\n1862 91906\n68826 81429\n53146 84252\n5088 96475\n63619 68033\n59088 62897\n21699 31674\n10625 78110\n9813 56498\n10897 30180\n15667 28887\n41619 54784\n28371 45554\n12144 90471\n3153 49291\n2297 70410\n60328 72023\n52777 86228\n60919 74910\n8219 26492\n7280 10946\n8896 81102\n21566 80865\n42115 59034\n74709 96052\n34599 38330\n65153 87812\n73339 85792\n24356 34680\n56245 69379\n41986 86253\n12677 39194\n29607 77031\n30036 79339\n63238 91176\n73170 92888\n25963 86991\n2560 78753\n25026 67727\n4491 99420\n51263 60172\n6352 96410\n25191 69980\n56450 95789\n71051 74756\n588 13509\n62637 81923\n9314 70543\n34007 36058\n54643 78589\n3076 72014\n17153 54751\n8470 14199\n25602 56088\n43411 85310\n30349 37391\n12795 18253\n89042 91946\n1943 93080\n21735 26418\n4723 88831\n10978 41051\n3148 98143\n25335 74371\n73430 77512\n47530 79907\n57660 85356\n7806 18389\n5675 6156\n28784 91141\n2259 61284\n3519 70583\n17477 21392\n15922 25410\n36913 57459\n3233 25175\n2386 87033\n56335 96846\n22190 69733\n53321 72964\n61114 93176\n5533 20039\n26719 84149\n17536 91914\n8198 81835\n7545 55253\n15683 25548\n10565 19863\n6366 40724\n29835 36279\n61494 94552\n47775 63350\n31388 43590\n9252 26836\n25266 48774\n71576 83340\n18446 70858\n37012 50162\n16358 38641\n6837 18617\n81875 85408\n18733 64442\n5485 87743\n88356 94626\n77966 79756\n3478 34749\n50635 87596\n49261 59999\n60845 62921\n29542 70253\n2460 54146\n1180 18507\n50783 75801\n76288 99682\n47075 67133\n10585 77087\n29523 45587\n58355 85919\n6913 43565\n24832 47113\n10462 39206\n3822 81184\n16015 84973\n50367 70872\n44388 82952\n41089 92235\n2188 48313\n43279 92303\n12443 85259\n60025 76251\n18410 23907\n14385 20452\n40671 64044\n80010 96635\n2687 14139\n33224 68602\n55975 56211\n34287 46934\n26457 83476\n16219 60779\n20676 61098\n33372 39444\n36429 61003\n37744 52028\n38753 98274\n56589 84392\n35648 54853\n17060 59490\n13435 31997\n40794 68741\n8295 39117\n55972 75781\n70018 76074\n22907 61927\n64357 73392\n50655 80343\n15152 58682\n69488 84937\n45254 97969\n22535 45604\n7655 51660\n42497 46936\n11600 61533\n46380 62239\n38282 79060\n41501 55171\n76110 77771\n16427 89523\n52737 93259\n4070 80548\n47463 63907\n47643 67283\n85762 91971\n36174 69952\n27808 62598\n53368 85868\n38740 96280\n30297 39301\n32478 81704\n36705 89343\n25591 56545\n8288 40480\n3421 60352\n32139 75333\n41676 42072\n20197 56297\n14831 92752\n5679 60592\n6630 8166\n7636 43257\n11708 41731\n9475 78055\n75377 80974\n46934 83157\n84921 86750\n50782 55659\n53842 56009\n50693 62833\n41206 74223\n49731 62926\n3954 57046\n43388 58273\n69141 87554\n18219 85138\n28206 96627\n36402 91280\n52165 57010\n43224 80525\n45359 72854\n5352 28234\n6845 90795\n71000 72959\n10121 59521\n60935 73181\n34734 43112\n7573 20798\n3223 52984\n11601 47838\n50886 86516\n58430 77128\n37306 93952\n74955 89728\n56791 69184\n89671 92928\n19584 83689\n90465 90918\n42488 74322\n25758 76262\n46863 52977\n41605 48316\n15760 45964\n3357 13787\n35136 93973\n25119 31057\n39249 44922\n2002 6250\n22871 40668\n10965 98489\n39065 48711\n40207 40280\n41381 63309\n10275 96189\n5390 22978\n36239 94377\n7694 70616\n84482 97609\n77825 99568\n49586 59820\n26482 73160\n42504 77335\n22338 24226\n52518 54606\n29260 45811\n65163 86939\n16856 59273\n36497 72197\n23621 87408\n34408 82124\n29972 55250\n26960 27832\n34439 65128\n68507 87190\n33006 69567\n46310 74435\n52665 88418\n472 95320\n50288 60181\n84039 87604\n27911 40951\n36359 47552\n79429 83503\n67810 81376\n44494 69242\n38325 98724\n16840 93023\n16465 48000\n16052 81698\n2121 88388\n23683 91032\n63386 75798\n44 96286\n20265 29549\n39099 95877\n28820 51856\n27719 81542\n30671 71281\n18780 71316\n59578 99434\n4687 50517\n49194 72845\n40653 75333\n64712 98365\n17777 99719\n74438 90485\n82350 94119\n91022 94167\n14015 41190\n90248 99751\n18126 70519\n41689 48490\n1367 3281\n37747 72553\n76159 77692\n22289 29276\n21059 61534\n32511 76200\n23108 68533\n75483 98054\n81691 89377\n24861 37567\n20619 42854\n47960 87117\n62752 71390\n49980 90801\n33998 41436\n50271 53476\n675 64889\n26653 95333\n1292 16428\n4403 58580\n60405 88236\n69761 91371\n24345 24590\n15735 50283\n20163 69128\n82249 95680\n3538 31322\n7401 40506\n13885 66441\n65744 84636\n12151 17469\n12999 99896\n51245 86105\n24408 89055\n3794 7796\n8624 38513\n77657 79436\n35804 69433\n1728 28876\n20144 36226\n34054 95087\n29493 75760\n67110 84946\n77295 80031\n1052 64753\n64262 82469\n29432 77751\n62893 93918\n47085 94978\n2902 40013\n77034 88328\n10787 61605\n85454 91935\n32023 44721\n31255 90734\n897 10507\n4204 60715\n24324 61290\n1099 52119\n28340 44376\n53280 79226\n12309 21924\n22445 30258\n26290 74098\n32549 69563\n70441 93140\n13514 22141\n184 78943\n3302 57350\n10043 93495\n27093 33119\n24458 79903\n65976 79540\n20054 37381\n3454 15110\n7781 24846\n36685 44518\n32605 73453\n7669 86780\n81500 98587\n30752 73505\n44543 85184\n1461 46714\n10294 74656\n63231 93233\n3798 65689\n5644 24457\n91063 93062\n65547 76601\n32921 47299\n5981 56923\n30363 78003\n65880 83054\n7085 90812\n28041 48456\n21733 63748\n81721 91365\n1021 92094\n34850 81762\n15956 44253\n8531 21262\n13646 30136\n12894 35415\n70445 79873\n63984 84139\n46153 70925\n45465 46945\n41784 59833\n16995 67045\n6310 55600\n22668 44361\n9755 84118\n63912 77709\n61069 85145\n82236 90236\n48446 99187\n40558 49496\n46551 86766\n7735 70145\n24819 36866\n54284 91012\n43785 70881\n10804 62018\n18974 98740\n49065 73454\n24866 89203\n36080 95304\n63868 68842\n36640 64754\n22342 39950\n10263 11534\n45185 56908\n15230 45426\n19530 68939\n18177 64269\n17363 21391\n58511 64319\n71636 84536\n11698 83083\n41223 88536\n23845 62862\n14729 26878\n15000 66550\n38008 76507\n5645 9406\n22961 54125\n13332 53708\n17377 69352\n136 49487\n39269 67225\n73868 86409\n15584 39778\n75440 86094\n9545 32587\n5759 88200\n88396 89288\n27673 99537\n3661 50069\n16748 73752\n18353 37082\n58448 85016\n44970 97821\n12307 76096\n4340 25470\n29727 56648\n7110 33094\n67921 97524\n59483 86272\n18761 53197\n72109 78730\n11833 98768\n75282 93742\n22579 30590\n22336 70597\n45539 56513\n62617 93660\n8781 78622\n89390 96104\n16855 97780\n60881 63273\n35612 71682\n30430 79975\n70461 81664\n28825 31560\n57848 62276\n83807 98169\n34492 85944\n82772 88850\n15352 88105\n2252 83264\n5982 37062\n52167 92613\n39673 56241\n15622 26948\n31438 41050\n66656 80717\n6441 71069\n22296 64260\n45294 57458\n68849 75339\n46422 54034\n15424 44292\n71710 82792\n29416 91805\n15026 17659\n33030 35144\n33909 71547\n47132 70076\n69246 76017\n37215 47465\n42987 84651\n89342 95091\n65936 94103\n40159 95975\n40211 58330\n20322 60815\n68121 88483\n56490 57525\n4241 8788\n68894 98631\n40233 74230\n78785 95186\n55097 97132\n16420 93637\n25263 68559\n16414 47199\n31177 83176\n62979 82359\n44052 53533\n27064 69192\n18415 60906\n20199 26030\n43890 46904\n1809 30714\n39399 66629\n9528 92556\n48391 52173\n10335 42955\n31095 63483\n46373 73451\n72928 94628\n19800 27229\n66068 91576\n65079 89210\n79658 92993\n47689 95238\n94052 95042\n11420 82514\n10125 25135\n47384 57576\n6896 31553\n29167 96592\n37859 85736\n44923 57903\n40730 97702\n15396 61431\n17539 44046\n1531 99781\n17287 42553\n11241 93986\n17781 52390\n60056 62911\n1352 55436\n63631 95547\n13802 52306\n18796 63948\n57483 66371\n13710 41830\n58610 84263\n16896 33899\n2489 61217\n52373 82626\n35796 70935\n72973 85849\n3377 13204\n3587 42738\n347 36425\n27355 71775\n23886 61680\n5626 99773\n90094 90879\n10293 10921\n25608 34048\n10705 24217\n21576 82161\n57294 76872\n52611 87166\n2177 46746\n6929 36556\n859 46208\n40416 79639\n75164 87761\n1747 93246\n27083 68226\n6576 34510\n13810 64078\n28720 55756\n60506 67673\n29558 68129\n612 49624\n56404 62307\n6348 98249\n1111 11664\n41432 75240\n12809 42349\n81122 89381\n8891 30790\n8899 19645\n29101 40263\n42262 93290\n86873 93990\n10841 62146\n49715 80231\n85735 89205\n42494 43015\n67331 81904\n4680 6064\n95918 98273\n27640 62641\n30133 78050\n63398 68441\n8564 63205\n34337 98737\n6919 44702\n25847 86300\n6658 14208\n10751 29760\n43837 71873\n63348 71049\n8601 46693\n1017 94301\n65175 65500\n71838 85181\n42485 63816\n28099 56547\n20956 77090\n69730 80565\n57356 68791\n71696 81431\n59848 64099\n34242 58122\n518 30599\n52258 95629\n62598 99874\n55716 84480\n17374 23482\n64688 73869\n48726 69673\n27765 85978\n47913 88324\n74086 86359\n35613 71166\n9359 92219\n39384 70356\n41003 71170\n12990 35333\n33003 70771\n52432 68703\n30769 79172\n18329 40033\n65 36490\n63064 91893\n90036 95662\n12018 18180\n60973 76277\n49111 81242\n54244 77823\n51475 78674\n10540 90606\n33853 34343\n64146 98812\n42574 83880\n21391 27281\n35476 99443\n64856 86494\n47819 56075\n2412 63622\n72819 85034\n41026 44752\n19112 25198\n18062 38008\n1542 30791\n48564 68103\n2493 18554\n6795 65046\n37443 43516\n71822 87648\n17009 72901\n38508 87208\n39878 48779\n64396 72645\n31131 43060\n11290 20892\n23545 64747\n22184 45575\n39704 91658\n43391 80332\n18556 20049\n23146 91933\n12922 54940\n6569 29434\n5888 22559\n63385 72210\n40516 47287\n17290 17824\n30011 97694\n29404 53957\n36504 37305\n39564 59403\n91255 98013\n24746 57312\n53274 95283\n6126 55925\n72444 93612\n15895 23101\n19204 23425\n17983 90078\n26895 63903\n4308 29154\n4456 85699\n9828 22027\n27833 54048\n9343 84797\n13413 79253\n35814 97882\n38327 58850\n41649 80574\n11808 69276\n3350 17144\n54469 74853\n38245 75186\n20468 50615\n11470 81893\n15183 74312\n42450 56154\n59564 74297\n49321 62131\n30212 46111\n4378 86226\n22221 89546\n60037 76295\n19073 20275\n7960 23641\n85302 89230\n5857 37142\n9061 37025\n15223 75723\n3444 53014\n38053 64382\n61019 68403\n8147 77404\n23340 75799\n80017 94715\n35177 58904\n11222 37347\n44356 74391\n40077 94607\n56141 95901\n26573 34525\n18866 34539\n19212 89674\n51883 93003\n648 22374\n5724 30558\n8883 16933\n15240 54170\n44572 73428\n59046 93584\n46800 70087\n28486 30480\n79101 94434\n22987 78047\n11804 50343\n10315 33372\n36064 95813\n16220 19211\n43307 98892\n14113 73071\n88900 99681\n64144 75071\n24691 83393\n48836 50084\n28661 51832\n12492 86902\n4891 60392\n18328 85680\n54928 87241\n65540 88827\n17285 68644\n5957 33691\n2383 77566\n76593 92993\n25243 76836\n16181 58702\n41675 56378\n36084 65314\n62781 84959\n24361 69532\n18832 52958\n7004 76834\n72968 74961\n6958 80438\n49239 68627\n34356 95037\n58911 95179\n33668 58843\n27740 52317\n73215 79556\n5989 52769\n38286 56148\n7050 23851\n7308 52722\n3772 34285\n12068 78711\n10172 45052\n27196 58559\n29076 83107\n37183 59716\n2665 78102\n8422 69521\n6729 88185\n37756 50259\n52838 66710\n12630 93779\n31640 73024\n28595 76258\n50332 65192\n20962 82239\n40931 93343\n3604 41970\n28877 82416\n21354 32507\n28811 50502\n24074 94459\n56632 93001\n53341 95680\n11061 30082\n42854 75229\n6877 84088\n34811 53343\n50437 83177\n10251 32443\n33947 38615\n39503 44409\n61119 67285\n15914 95513\n16231 20350\n4206 28244\n10339 53640\n45070 81057\n32226 69487\n42832 46859\n28661 78342\n30985 54239\n4885 79747\n2094 68728\n33436 39880\n40886 70327\n29280 94186\n17158 24490\n23239 43693\n40371 87425\n35638 87481\n32287 33837\n13700 78436\n11538 46230\n10897 39737\n2161 70934\n59840 71205\n37081 82957\n71090 81798\n4658 15732\n65558 74629\n3639 65041\n21425 29988\n39482 93568\n23036 58045\n39434 50099\n36054 94960\n53417 93035\n46535 50671\n549 40652\n87040 94352\n11757 73227\n73152 75384\n73442 94077\n41806 96823\n59790 81405\n401 18055\n44277 47428\n42923 76392\n38967 51617\n93659 97962\n16380 54308\n3039 93757\n89194 95664\n82604 84867\n52517 67519\n15397 94941\n6990 54528\n53533 62058\n23807 78335\n11973 25511\n33726 61660\n57926 91395\n69937 83728\n33992 84966\n28226 58630\n10036 63881\n50324 91505\n32778 76929\n4005 14764\n51435 92886\n73103 89652\n28004 30935\n26521 62165\n36673 46792\n34562 89206\n2317 98125\n30810 83621\n27102 70375\n39939 51174\n75445 97260\n22775 80668\n45610 85272\n18236 94367\n3408 26991\n17225 34379\n12029 88191\n3939 59289\n28467 58669\n15447 39654\n51823 67083\n64104 74167\n40280 99725\n1517 29670\n19193 22182\n55956 94801\n73467 88127\n21142 73776\n52256 79877\n45890 65204\n55223 67995\n9696 55179\n31646 38941\n29041 55361\n44023 89345\n56767 58648\n44866 76704\n32557 57269\n75729 75965\n85646 90217\n78212 99378\n7902 14900\n33879 97066\n8373 63027\n28821 67128\n63808 64288\n3227 82944\n27397 45616\n25535 40007\n2332 28306\n62807 64903\n30339 73927\n44240 61462\n82542 96314\n28157 64754\n8003 95694\n47878 98084\n42827 69765\n60754 89763\n18132 26514\n12427 80866\n45229 85281\n42872 47559\n16031 91853\n59 6020\n29577 98259\n16458 81141\n27900 79114\n29519 83491\n32707 74153\n42183 46457\n18040 33359\n72052 92107\n14811 41132\n82541 97851\n62457 75555\n42053 92296\n26188 82283\n50142 83539\n5371 20615\n25244 99630\n21414 78477\n57007 64743\n62165 79820\n51060 87691\n55213 58626\n20011 44841\n33695 98754\n15435 48922\n82757 95671\n1393 56106\n33778 44626\n77169 98204\n13793 74421\n78654 90394\n16469 89198\n1662 75059\n64875 72298\n83172 93305\n23072 31681\n47490 49722\n17766 64826\n1433 10726\n24824 53521\n70554 98427\n14499 18698\n66639 83381\n41345 65924\n49916 96953\n62198 85493\n54779 87553\n8205 12959\n56286 99427\n1211 87825\n10752 79294\n8524 13304\n233 84479\n9568 30252\n47522 66610\n57018 71115\n11730 97635\n50868 71280\n10182 24034\n68727 94918\n69083 74622\n15891 75098\n18406 72936\n8546 70131\n1219 21758\n43552 59881\n13328 47727\n25873 55538\n87191 97361\n47491 52066\n83194 92269\n61108 96716\n29389 87139\n13311 16043\n58738 92237\n49208 88900\n9557 45243\n40187 94546\n31612 88259\n27035 78687\n32016 82677\n93021 97115\n12086 22379\n16682 37215\n14051 59170\n43101 47311\n9359 80888\n81047 96766\n18729 39239\n20387 36272\n56099 99285\n10059 79832\n66823 79455\n23892 38380\n12140 33607\n2029 70923\n1673 28800\n22295 84432\n52746 82671\n9774 34255\n41003 69787\n42444 49290\n5287 84041\n69578 73707\n52192 70358\n12515 82184\n11908 59942\n4118 71721\n17693 21628\n1248 47593\n18893 19261\n2166 30417\n44650 64077\n53081 76791\n4070 79771\n21265 98451\n30303 84104\n36814 47060\n23053 56218\n80941 92796\n39977 65730\n82762 95370\n46685 96518\n45519 65948\n22724 31252\n6928 85883\n15668 29026\n50957 94578\n40527 93781\n63921 89140\n28199 72842\n22216 26987\n23413 68970\n53567 87593\n7747 42955\n2595 90790\n17728 54417\n25655 58573\n33529 35402\n33825 87689\n32249 37579\n16535 82959\n19241 70437\n27937 92171\n25670 69656\n2104 12337\n48164 73578\n16835 29578\n88096 94216\n16348 17418\n29349 64890\n9348 97087\n5294 90654\n11218 56043\n10795 28520\n23310 64713\n16409 20329\n75233 80890\n8340 8428\n22204 98254\n45139 49420\n52852 70071\n13178 30231\n32044 50507\n6470 90310\n39275 78360\n14023 77327\n48532 80076\n3318 9546\n435 95036\n89783 99900\n21626 92635\n25560 77637\n76148 96471\n18070 61496\n9161 74541\n83630 91094\n54031 67806\n35343 56438\n10596 38006\n40450 82269\n9709 9836\n11099 81592\n47834 91487\n46150 92205\n73582 82459\n45571 99776\n15296 29055\n16278 40082\n32132 93449\n19890 75945\n37216 58331\n26039 81600\n5540 31002\n26903 73538\n3824 75185\n15 36378\n58397 60640\n39037 63983\n31748 56713\n17672 67969\n73677 90507\n14570 48789\n37878 46312\n51152 65938\n4654 37137\n70212 78752\n20233 41119\n19860 87792\n31268 56297\n25320 61226\n3415 97232\n64705 97463\n23866 98156\n33331 79197\n34980 51167\n60830 90469\n22559 29759\n7261 92965\n6633 98448\n15049 53385\n37821 70999\n46250 77959\n17658 85630\n71000 84786\n6696 83321\n20112 75194\n11388 51505\n21181 29210\n45985 89338\n64466 90202\n46000 96799\n3921 24468\n29172 44697\n22189 32743\n40904 43585\n7021 40376\n34749 39932\n55889 87340\n3332 10739\n57156 93891\n93864 97392\n15251 65831\n20778 92257\n53345 65819\n61665 72285\n28455 88109\n43461 95599\n11095 33024\n14571 39832\n19359 53973\n83108 93693\n13906 57138\n70663 71075\n22456 37397\n3037 10607\n121 36763\n17081 48897\n20147 89733\n13256 44771\n5318 80068\n43083 99553\n15576 70156\n80122 90269\n9762 48040\n35655 82116\n9800 74447\n26769 62233\n295 52266\n54260 70006\n14960 51061\n700 32604\n26838 41394\n97964 99901\n60323 89621\n12730 72218\n15005 28319\n11848 96394\n16538 31615\n70244 98306\n10322 87568\n56069 89128\n56894 63401\n43381 56981\n1176 18765\n65815 83592\n71605 97500\n46997 50508\n34209 63014\n14460 31996\n31100 39347\n46432 95306\n32721 36751\n30199 58486\n33985 85590\n25167 74921\n75450 94993\n67236 78716\n6600 75475\n8164 62685\n33722 55630\n33720 76851\n56787 99639\n11073 70304\n2686 84904\n85507 96849\n7443 47818\n44740 89175\n8468 51307\n22029 34340\n86902 96580\n88836 94002\n15138 64107\n30719 68913\n16513 55649\n75811 94750\n63979 98288\n17511 83672\n7442 58707\n7095 38355\n10076 81259\n748 33744\n13142 82212\n7716 84757\n66938 74354\n41812 84447\n27146 96463\n37316 41705\n4204 58863\n8004 66564\n10992 98686\n23949 53589\n75972 82440\n27242 50246\n18661 61562\n46608 62782\n41270 72490\n48765 64563\n38669 43258\n39206 70651\n11180 81405\n655 20695\n85108 99466\n18590 96661\n33110 64148\n34385 83348\n73808 82962\n35207 51858\n21937 43752\n23356 96645\n77185 82332\n31873 35738\n29758 36557\n34123 92383\n15410 73683\n57471 88475\n30162 46637\n6457 77962\n27633 48169\n4468 35058\n43517 99582\n7034 70825\n5709 53115\n19947 58005\n18155 53817\n49675 97541\n71669 95335\n33092 93175\n21336 69312\n28335 57741\n6769 45863\n27554 94382\n41027 98516\n6850 62725\n22512 93155\n4539 16981\n2480 6370\n57984 72788\n30885 64842\n65798 93032\n29502 78217\n48795 91427\n72104 92751\n49863 56437\n8007 25199\n4243 29616\n19515 87379\n57335 82658\n2510 18606\n659 96504\n81521 99818\n63563 69050\n80068 83667\n5785 45340\n88247 91251\n70321 72481\n50531 67942\n46328 89262\n76574 89343\n31885 91405\n18144 35791\n1931 48803\n11474 67888\n46282 56775\n36024 84751\n25533 99544\n13818 93288\n10663 24005\n51619 54814\n60034 92226\n23995 32836\n43049 56045\n38457 99586\n63565 86570\n41470 48836\n69026 76530\n21977 83625\n19788 23113\n13669 69513\n108 83165\n40299 70990\n39450 94176\n2328 10385\n64160 67870\n42292 76504\n1102 82855\n40011 99196\n57072 67015\n36391 53452\n14898 26415\n54193 99046\n59622 60311\n70212 77686\n9807 96246\n22397 35111\n62146 73599\n7431 76605\n12888 93381\n27493 79454\n61085 82813\n14430 59930\n35852 75124\n26579 85991\n19398 79607\n69101 72490\n17377 31401\n72296 96674\n10261 49951\n2082 76398\n11726 78428\n9014 50410\n41189 69392\n9153 59698\n20130 52195\n26656 92395\n36971 60754\n5548 91439\n6418 28699\n3283 86673\n26854 36868\n16207 44735\n13724 69651\n8475 43580\n17418 78404\n23068 45876\n20094 74653\n36907 98696\n40999 86257\n12784 59830\n47925 56220\n59328 64491\n38049 48978\n9392 95959\n14722 65529\n24721 92678\n19338 87444\n37334 39707\n8873 90474\n24622 81694\n50941 96211\n67189 86438\n34533 79796\n71861 76717\n34 29030\n14352 38981\n38362 75730\n44868 59054\n9070 22482\n45611 95771\n85448 96110\n37487 56648\n5634 41340\n12979 76494\n21731 99388\n19871 56031\n12434 16581\n59287 83979\n30282 86069\n44342 81168\n25430 40451\n50474 94482\n32952 55621\n50644 96130\n1209 18434\n40740 44083\n35702 55136\n7833 50100\n72784 83696\n275 6804\n63807 82184\n31738 63317\n89175 89322\n58903 82026\n26126 60321\n28618 47078\n49700 92274\n11168 28908\n31189 64266\n47944 59408\n20278 40601\n9423 25358\n48020 98818\n35207 64247\n72077 96337\n6382 33152\n64128 73445\n78878 81223\n37419 64118\n11087 57946\n47910 68169\n26491 78388\n29969 77707\n57238 70473\n12654 45472\n7413 55863\n5469 76760\n2456 75458\n48696 58055\n20331 92488\n24953 94332\n27175 82460\n45570 64960\n52965 69627\n56114 56743\n53489 98888\n14977 25187\n22008 85454\n47892 79129\n54110 85777\n8211 18995\n72092 81187\n62281 74380\n30308 64884\n12848 94858\n96020 98290\n77940 97269\n9527 47576\n21922 56264\n18324 51353\n80409 97095\n28948 91231\n57395 85839\n25810 34839\n23384 57186\n3259 67020\n54027 59323\n58222 70351\n16299 19143\n27600 95470\n23614 74489\n1495 20854\n56453 61424\n30601 51901\n28602 69701\n15833 85215\n28288 83411\n79834 94600\n51999 63100\n37865 73263\n33830 44686\n2337 83634\n40157 95744\n18897 44974\n12213 32199\n65629 98973\n1827 39760\n31723 74989\n4560 77912\n10026 38306\n69424 71337\n19020 86171\n58114 64805\n73493 94009\n49745 59079\n50998 95628\n2318 4980\n4909 27610\n56475 57293\n81492 91401\n3114 68072\n21474 38566\n49311 82364\n39541 94236\n41713 52838\n25370 86643\n21942 50864\n95890 96930\n23182 52239\n36840 41823\n22819 61704\n45372 55895\n14813 68531\n15977 70387\n18879 24782\n5012 10893\n6276 59178\n21230 94489\n10202 56886\n3195 20477\n44618 84283\n36040 38910\n61068 94599\n37200 96324\n44030 44476\n5983 21508\n25866 95524\n57436 88267\n39018 46217\n20497 41416\n44496 78636\n12928 55115\n19342 65481\n52048 56901\n36118 54050\n1488 21827\n4096 59174\n71577 79143\n21776 69846\n81653 95875\n73667 76241\n57332 80981\n43236 51245\n47869 98000\n72970 89903\n82238 91471\n36464 80698\n29572 51637\n13577 38338\n6369 29993\n14221 65735\n41224 51870\n27773 72936\n20112 88498\n24912 37234\n20320 39515\n10858 51861\n21162 74737\n26940 63377\n35731 99560\n43565 94784\n20220 50991\n1979 69704\n52396 96905\n18737 50690\n24055 33715\n46206 86041\n26410 93212\n6035 25951\n38640 46389\n29124 35220\n22954 89444\n4704 68828\n21666 98991\n54051 76115\n14712 27976\n32547 51040\n400 90386\n19204 82450\n55787 87742\n54018 97643\n34559 91907\n17862 89784\n56251 83760\n47726 99218\n46899 66008\n328 40387\n30531 71027\n55713 61635\n6037 24984\n863 37045\n25640 38439\n37780 94244\n61868 83422\n47415 47501\n20633 35320\n2099 92505\n42185 75867\n60900 97089\n15172 23662\n43711 93533\n50345 97106\n42806 95221\n10578 98266\n33203 55940\n40931 82027\n54249 71185\n29796 70467\n46282 72535\n29465 92308\n79266 95532\n21874 82807\n8627 55973\n3194 80842\n89934 99733\n27597 90963\n39626 68947\n69312 97176\n20691 46860\n66613 91921\n8378 45365\n11750 65706\n24160 38343\n5787 36129\n8555 82136\n56050 64059\n28639 41045\n57156 86094\n29958 40811\n16032 84689\n23973 99546\n36623 47015\n24984 83572\n51521 59963\n21278 88640\n32505 38178\n61398 92613\n3914 92310\n43882 62610\n40665 47455\n34354 62347\n26724 42677\n49191 84126\n46656 62487\n7085 10361\n15772 34652\n61615 80932\n21728 36730\n54102 96564\n6531 43637\n31076 68570\n15387 41743\n2368 41579\n11580 83580\n48062 58593\n35080 94795\n32701 95646\n33146 55602\n43496 77080\n826 29506\n50495 67670\n20998 79979\n6115 9170\n30460 92656\n70897 95169\n53355 68436\n56316 87620\n15378 38385\n37953 44889\n43003 83919\n42518 95184\n59256 95626\n54600 85543\n37404 58608\n8330 33053\n35798 39451\n11337 43786\n58579 78364\n35963 48098\n71803 76684\n12154 72391\n29236 84156\n41216 44701\n83922 98618\n3287 74023\n50009 99301\n20951 80848\n57412 68527\n26293 46977\n36800 51288\n13700 97949\n40181 69330\n5624 44900\n66770 70680\n86486 91486\n45882 85720\n54111 84818\n21033 93405\n27327 79947\n55810 69071\n5616 41113\n27953 31196\n24543 93857\n11376 23616\n47506 81559\n4912 42962\n71562 90140\n18010 38595\n79169 93141\n27305 64745\n38995 72769\n38035 70690\n15557 84235\n10353 18828\n37573 45090\n18596 89730\n49258 77421\n34044 43364\n60634 89293\n10536 64654\n21989 95847\n21223 98683\n34580 73912\n65166 98681\n39897 58143\n62776 92956\n32566 95777\n3253 37115\n74309 74710\n35608 86074\n23247 34221\n7301 73778\n6484 97935\n80080 98914\n51921 65722\n9753 51721\n73789 75157\n40011 99669\n56180 92571\n14947 85306\n39732 97667\n11347 93157\n30391 65945\n225 84202\n2416 12244\n21697 78043\n13876 60345\n24750 68889\n78212 83900\n13118 32702\n39168 91788\n47142 66138\n519 34969\n15003 30273\n57020 95319\n22367 29292\n42830 53362\n69107 94440\n71832 99705\n51061 98972\n8084 48036\n60801 93467\n3199 30052\n66012 75634\n76257 76607\n20051 58318\n16842 52447\n91104 95038\n34955 74604\n23600 88887\n15362 38132\n57048 96346\n8650 74327\n23709 98634\n22361 50112\n2185 69543\n43177 99192\n15296 96050\n15130 88445\n51701 87376\n9793 19899\n15439 66221\n7524 75749\n14750 32937\n38235 62017\n47715 92506\n71004 76819\n24142 80942\n34050 82772\n62653 74648\n42124 74062\n42735 79649\n22816 78105\n44453 63030\n10620 93769\n73409 88634\n53772 76823\n23577 80686\n61576 98302\n15056 96176\n53771 69483\n42090 48782\n13873 93595\n8783 61732\n5655 31023\n34423 96985\n6514 99273\n11012 44228\n40301 94886\n63480 64076\n57462 70037\n9320 76397\n66445 66605\n39347 80971\n1540 15772\n47546 61228\n32060 84051\n31025 33203\n6132 61277\n51460 91013\n28791 30280\n2882 52258\n38727 74292\n46617 58944\n3109 37038\n48868 77280\n21604 77048\n10592 46363\n1745 26377\n58148 90958\n10721 46878\n15286 25043\n36052 43844\n7150 43164\n61244 86830\n86081 97594\n35765 40574\n36829 42135\n38320 82635\n28239 95428\n33773 42879\n17786 97654\n19150 52016\n53651 92966\n28343 89689\n86859 94749\n40350 62408\n61583 98240\n46138 75301\n56746 95264\n5527 57720\n47763 99510\n4382 30191\n58767 96501\n13534 98803\n46487 88293\n10440 30410\n29637 36289\n68299 79663\n37749 80371\n901 95578\n45558 89164\n24942 30644\n61823 87240\n5529 50862\n48054 98253\n9671 37945\n1441 15460\n67404 75143\n15047 71182\n6981 56862\n31542 95846\n42167 90272\n10056 65005\n9283 33677\n26522 44530\n43154 67997\n57123 62222\n62184 79252\n3688 16080\n83118 94791\n16313 54000\n47684 81596\n50968 51868\n53414 74995\n37926 88056\n15871 98634\n7839 60784\n30195 49310\n24835 69625\n29251 50358\n38955 61681\n2276 88923\n26900 28102\n40744 97611\n2968 87093\n91703 97498\n11939 44096\n26404 62102\n29433 41304\n1587 58844\n77602 86959\n33859 87608\n27040 81672\n16800 70345\n78680 97521\n36732 41635\n8220 83167\n9883 67704\n448 99610\n38530 98918\n51756 86423\n8176 56791\n60208 98539\n56909 57834\n18275 86027\n1772 33402\n31933 92223\n33427 43121\n39452 60665\n39630 41769\n62009 93576\n39614 80031\n11571 97597\n13849 95171\n87292 96398\n8341 28026\n4637 44229\n54749 79934\n24233 46828\n65822 97810\n30840 45017\n51610 63488\n6780 14526\n20491 35161\n46208 67489\n20046 47262\n15035 64945\n12412 48399\n53397 81363\n15296 87784\n43928 51972\n16985 82865\n14274 51835\n1666 21790\n36635 77979\n44162 53242\n57709 66538\n20772 93111\n549 43236\n27137 45918\n85823 99726\n22496 34824\n68765 83597\n38460 63836\n61710 94874\n70139 81567\n1829 50910\n35374 96255\n76240 91963\n23667 75660\n67796 84100\n5989 24993\n5082 69756\n22704 95425\n54944 67822\n4559 10632\n8017 15742\n37845 74037\n6337 54308\n22059 29755\n54305 84858\n41147 85078\n22084 64976\n26467 77759\n17228 98958\n2713 76053\n39286 41592\n11229 35686\n1296 77466\n10713 46091\n9551 74420\n26305 85131\n18295 64807\n341 2411\n28752 59494\n4633 49281\n47504 84484\n87108 95026\n6474 88145\n45384 47154\n16150 29126\n3060 65642\n7248 62564\n1247 8794\n9013 43921\n10483 60559\n56457 83470\n27111 88209\n19959 79807\n2465 93785\n3845 26194\n3155 4506\n75368 93961\n28491 95114\n65214 79486\n39397 58219\n22040 68032\n80894 85804\n23322 58090\n30383 38297\n32607 45566\n46265 94857\n28003 53957\n86916 99208\n13660 60003\n37268 47728\n72333 94692\n23558 24576\n22252 60397\n5063 97842\n14902 31768\n43477 81319\n15009 83167\n85022 99062\n20192 95531\n16164 37053\n12031 97192\n47443 98649\n19591 65004\n79187 80113\n23286 97856\n34261 40068\n9779 42025\n33188 38392\n15009 19347\n27797 90871\n91676 96356\n93741 98185\n6552 21733\n32682 70379\n15895 34875\n60530 98250\n57863 88976\n1012 61645\n12972 89728\n19053 59803\n27109 29750\n20440 78036\n8280 62195\n34005 80599\n39437 73867\n33571 42270\n30735 91600\n23891 59033\n2582 68808\n5877 44174\n68358 95718\n6222 62285\n46830 88110\n70993 91608\n30617 58726\n25042 33454\n2652 35119\n12521 26837\n32542 60781\n27339 74756\n10290 40903\n33872 94679\n8449 74423\n7490 53427\n7576 54777\n2203 90834\n40209 82783\n40149 68862\n39367 39865\n7653 80795\n1230 96790\n9712 96369\n50858 53141\n74740 75598\n49623 77192\n11573 87808\n54288 74935\n91788 99446\n46301 73773\n550 17928\n33705 85639\n13337 55088\n80483 89527\n35057 49644\n31205 70759\n8166 29617\n16401 23067\n25023 69787\n4944 24978\n6375 29884\n3993 24099\n22701 39192\n29875 95843\n90006 91586\n43876 58709\n71525 90724\n30727 74000\n31029 37637\n23995 43078\n50847 96351\n40402 53477\n7969 14739\n61045 97851\n38035 49105\n31974 98299\n7206 12746\n41903 95894\n44125 90900\n44234 92399\n53679 81421\n75932 85716\n30043 93006\n72222 93332\n59169 64095\n19528 62364\n17385 90258\n10656 43509\n81506 94045\n21814 25676\n26210 57341\n11785 60587\n22478 52527\n80320 94640\n63836 68677\n16622 43849\n11106 79623\n67585 82334\n35367 45093\n18317 44845\n37233 60840\n25398 86405\n3604 25765\n7793 23740\n76261 93639\n1400 33778\n14640 81211\n30075 95702\n75161 84343\n4273 14536\n53511 75031\n14256 77279\n16864 23064\n67884 68415\n61524 74370\n18940 43473\n2815 66985\n34991 39940\n37590 53809\n41919 88733\n20575 68758\n4838 38551\n45888 97865\n2296 36808\n50678 69660\n29129 63796\n7132 77304\n23146 30392\n11924 96419\n44645 55607\n27993 42099\n82919 84671\n58872 62924\n41750 86966\n63060 72253\n3056 26361\n84509 98925\n9878 67050\n1296 62573\n72850 92262\n36904 89137\n12113 69228\n20641 48181\n40863 56237\n5523 58166\n49772 64291\n58549 97509\n7245 49370\n124 98896\n31329 56825\n5290 77941\n55097 92074\n40261 86901\n56163 70984\n940 12715\n8827 76246\n13705 97330\n14798 53986\n25308 26798\n86645 88083\n26278 62221\n28524 50564\n51039 81148\n764 38360\n23900 61003\n66605 74622\n35474 87472\n76678 97304\n59090 62125\n37419 38747\n23309 40918\n76142 92311\n12244 83086\n18367 60225\n75773 76456\n73779 84407\n51 77947\n87358 90106\n24994 31301\n53042 81212\n7793 62860\n67377 72455\n43926 87708\n10501 61654\n22854 92131\n20524 30044\n27738 57742\n3001 83059\n13630 57149\n12511 87044\n10227 90505\n41393 57920\n24648 31957\n35043 83268\n55480 82716\n14659 72774\n58946 93904\n75734 79697\n68656 97309\n24935 68122\n5924 56786\n35020 48881\n73191 94343\n17449 43262\n22585 89402\n29362 38159\n83255 99555\n37375 73011\n33332 43371\n66988 71628\n54553 95279\n81761 88394\n76606 92703\n69931 77667\n18007 45061\n5679 55336\n46808 80889\n14636 26301\n27268 90630\n73700 88911\n34921 80436\n67982 90585\n36790 37441\n54038 97835\n20948 22479\n13704 97825\n29952 52517\n11296 83942\n25293 66916\n48172 63513\n24511 64330\n14940 15449\n89619 94312\n66869 71621\n72625 93986\n48194 55336\n45407 87161\n2244 55722\n11570 80276\n33409 59857\n32180 93638\n24342 31454\n29580 50165\n58177 84935\n13218 50898\n13335 97979\n49626 49993\n1361 96818\n66327 88211\n43706 55196\n23443 79741\n8749 52783\n41469 79587\n53475 92905\n89517 95192\n6914 33259\n3740 50574\n26534 53736\n14726 24760\n71306 97834\n28473 38526\n72569 80550\n39720 53667\n22574 44852\n27022 48583\n2649 50750\n35429 48488\n25332 91189\n24417 59123\n73255 78324\n5960 34848\n49639 62030\n47115 61413\n59049 67961\n11124 84259\n57952 83528\n54849 59746\n49952 68459\n56828 57039\n5363 56941\n22034 67207\n59268 94456\n1095 35535\n50557 89086\n44348 54553\n40716 67407\n67857 83307\n40497 69011\n69822 78475\n45623 95753\n53935 97837\n3359 7668\n24499 33112\n23635 29484\n53784 61863\n19028 95538\n18182 87600\n79020 88470\n36969 55483\n12552 17019\n47548 64661\n25708 71807\n41718 46966\n30648 85236\n18186 54949\n42 48721\n52818 68903\n80502 92163\n22043 74842\n29389 55902\n14629 97658\n15678 48845\n14051 60285\n81042 93029\n20982 97706\n37735 64527\n25232 39543\n52872 62696\n36576 57881\n55839 99157\n31118 76719\n6440 87034\n21796 31329\n36683 61231\n28461 62487\n1853 17101\n59142 99473\n2290 45902\n36650 63369\n48410 49161\n17243 17344\n12903 62319\n7971 17913\n29575 72342\n10784 69357\n45353 72615\n23776 74866\n24019 62281\n19660 90644\n22473 33588\n34302 57319\n40970 59538\n29236 49185\n61277 93105\n12159 23701\n63016 77517\n2112 17316\n2682 40996\n55293 56055\n23690 92948\n79717 82237\n3945 82749\n20111 72724\n8385 37498\n35497 70574\n3632 18266\n15742 53515\n37854 62569\n30056 75759\n20573 55707\n41312 64039\n46498 61655\n778 84207\n72538 96164\n44923 72471\n16714 98140\n86248 89982\n65850 89087\n62281 63526\n7515 53422\n6383 8155\n38480 64165\n59000 66443\n51183 54696\n12818 92599\n5855 15350\n48268 81811\n9307 13149\n45287 89912\n69566 98502\n12521 27570\n32475 42495\n82513 94347\n54999 81838\n1153 72687\n2160 91373\n23070 72976\n88968 98447\n16795 71353\n7987 80671\n77765 96562\n49471 96002\n22560 33900\n77359 85000\n35124 54709\n38709 79523\n46613 99146\n13442 48347\n12544 84581\n50442 54998\n50579 64285\n51757 85660\n55227 64490\n27312 81315\n43093 83428\n29697 72840\n9605 24970\n12326 83709\n72793 90127\n10652 70435\n25051 45821\n13896 35771\n3418 39759\n68819 80209\n51079 65984\n49814 84858\n432 21443\n24268 32665\n77832 93278\n27135 42854\n30192 31364\n61091 82107\n36231 95798\n76529 90587\n24497 46404\n20610 68772\n28046 53337\n10482 96700\n75827 93548\n72107 90481\n7213 41038\n44046 95233\n33894 75601\n14900 90068\n10816 34844\n4174 81586\n11358 45381\n6123 37889\n61424 88936\n19693 99211\n4068 52320\n28676 61237\n3041 98036\n31151 95022\n30235 31402\n74315 96963\n15616 89680\n13499 65905\n79875 91627\n14763 55196\n97381 97806\n33835 50574\n5972 81562\n54804 94593\n15900 29062\n27175 99209\n30174 83602\n67671 69654\n10233 74922\n340 79071\n54032 85511\n49529 72712\n33240 96097\n5015 6835\n7421 50755\n11727 93298\n19987 25630\n41557 98889\n101 39082\n11281 23362\n27293 67565\n47863 79007\n38696 95734\n21308 39560\n25315 29691\n22554 36319\n10502 36635\n64355 85031\n87699 96786\n4867 10283\n24673 81152\n6538 95226\n20629 65861\n28174 50725\n8388 44642\n12526 68487\n46964 77663\n96094 98096\n6270 96256\n13116 86400\n2729 46741\n56260 98425\n23904 86892\n1016 41514\n17101 97233\n48190 81353\n8316 46714\n10541 24346\n51777 68240\n79013 94088\n22283 46387\n37246 39094\n42905 45418\n4212 84353\n26369 53849\n62908 76790\n66889 86890\n50250 77479\n60976 95384\n23676 85767\n9742 58061\n45941 84758\n23385 86704\n27026 99911\n36609 45731\n37789 96402\n6253 46489\n42103 57316\n13269 22435\n11804 84957\n39923 73754\n23371 93897\n9174 84689\n50922 68393\n35810 42582\n16285 23911\n15703 99541\n80130 84283\n7211 48663\n55768 89033\n41456 57372\n909 79222\n26986 31824\n38879 52556\n2022 20090\n23756 86324\n15776 50246\n10219 93568\n18738 58069\n4949 69598\n51394 99931\n77008 93148\n18948 57923\n15762 63025\n30536 68165\n6647 50320\n63551 82965\n20945 90974\n56585 77401\n16603 44740\n22757 47853\n28209 86124\n5888 19396\n27139 91455\n62351 63948\n7341 73850\n38523 70817\n44479 87941\n56246 84689\n58329 90236\n21216 60378\n7645 56266\n71470 98545\n16352 64026\n26847 72057\n54200 78342\n32005 90255\n30356 80947\n54099 61574\n60747 93055\n49726 54656\n14952 96201\n13756 40772\n12661 99434\n6703 86590\n28933 91361\n38552 65334\n76026 87449\n44502 59308\n14694 53047\n41543 55043\n47544 52329\n85576 91757\n21126 47593\n62275 70012\n50891 66329\n50900 83655\n22643 22818\n42787 76242\n33911 46190\n86741 95413\n29023 95097\n27187 79253\n15044 22143\n44044 75864\n42353 85319\n74108 94456\n33902 93508\n43227 90949\n63121 90492\n21466 69715\n46512 81918\n46395 70254\n25655 53250\n67705 76861\n13859 51172\n20426 40151\n6206 46276\n21409 76128\n31172 40492\n13142 14393\n32154 60609\n35562 38464\n77010 98776\n31343 64584\n16241 86729\n49911 89675\n55259 66105\n48847 72543\n51355 55574\n9350 55614\n10083 79618\n13259 24468\n77920 85115\n79233 96028\n62494 85551\n25730 28794\n50628 94421\n33833 46483\n25386 44255\n52779 93770\n23842 75103\n23224 54793\n69368 83467\n58937 99202\n23752 99867\n16844 34422\n1931 61585\n18602 19309\n42494 52189\n39175 70622\n7620 79815\n28472 38000\n46068 57316\n322 76196\n2690 73028\n39358 68641\n72934 88538\n72061 86590\n22121 78201\n51553 84886\n36111 43531\n92323 97215\n47250 47283\n13069 82799\n23075 97298\n51222 82495\n5323 34308\n59755 62821\n47747 63194\n29393 59879\n30111 42076\n82029 86547\n12947 78976\n58309 94220\n57432 92495\n27501 40079\n25488 48014\n13507 83572\n11497 47326\n7418 79574\n6965 19323\n21274 84306\n33210 69020\n9155 42116\n73930 81309\n46418 82618\n5138 31313\n15330 76895\n4990 62637\n43152 51675\n1804 10881\n20958 81526\n55932 61989\n92469 94610\n36645 85308\n32792 74090\n41074 45938\n63150 81404\n18506 66201\n11556 46210\n29825 30872\n13058 93439\n24475 52294\n57223 91686\n43575 52128\n30253 55853\n736 88503\n31076 34922\n4675 29278\n63804 75527\n19735 83565\n29514 33905\n12909 59527\n50084 79152\n9532 63538\n74092 79578\n67513 68329\n74634 75002\n38325 46101\n16443 43676\n31159 67033\n2171 88062\n26629 79931\n60788 75516\n45835 93828\n35656 48863\n84907 96657\n38264 80089\n5316 37352\n18073 47619\n72050 88556\n47371 92712\n11792 46250\n1547 79179\n13495 27405\n51492 85390\n65526 92660\n7693 74070\n39089 42640\n56954 72240\n28992 30526\n13619 83653\n16412 68326\n7146 45644\n55666 98962\n43600 75779\n66123 96595\n7372 22694\n5141 81358\n53563 68386\n14251 57384\n76713 90760\n18833 88184\n25582 88715\n20784 61654\n64169 75260\n9203 40419\n88562 94042\n24058 28269\n8018 29124\n13835 99315\n25453 76830\n523 78831\n2060 87864\n45512 61097\n56943 89731\n103 33912\n40951 83854\n79843 99134\n5298 47112\n63308 92937\n27904 73307\n23025 44133\n11883 84292\n12620 58595\n38373 57587\n1743 5021\n12791 69671\n7 34486\n40452 42259\n73423 83267\n24781 31529\n1008 18474\n50766 97427\n59083 69774\n51390 90052\n31316 39275\n31734 66388\n22012 41914\n30160 93849\n48982 63796\n39010 67684\n30992 96059\n70449 96965\n83442 83728\n22745 38717\n3897 13043\n11456 39711\n23144 27318\n14982 26650\n56821 79679\n18708 50581\n6794 86639\n3888 56701\n21044 80902\n51180 74239\n57070 74140\n83987 96833\n52335 97398\n79168 97665\n41256 74530\n57845 71849\n18747 89550\n32746 56211\n11611 20600\n50203 91836\n66727 96874\n33721 35302\n7158 25938\n5394 84980\n28574 77170\n24027 47816\n29086 91033\n7660 48511\n58617 61727\n16361 87063\n376 38608\n44779 74063\n27322 41057\n8693 39906\n21108 38957\n13580 87842\n25248 77933\n7952 8364\n19125 75691\n16306 40733\n58527 73669\n10720 30726\n38029 59375\n58029 80823\n53993 65011\n22086 42513\n16997 99913\n26515 94165\n18129 68653\n8374 81037\n57135 70731\n41094 47867\n15733 81842\n45964 72082\n30994 44895\n53373 99020\n15051 33414\n51398 90672\n75338 77684\n37767 97904\n68113 68198\n28218 96978\n16201 43020\n37368 37405\n5585 19068\n35164 51351\n25760 51971\n76695 89013\n78079 96700\n52056 80920\n1095 76470\n17695 54156\n28880 55335\n43402 95787\n3394 92270\n49142 97977\n27285 80655\n13596 45256\n47600 57136\n64361 64689\n12341 88358\n10362 37244\n40524 61121\n10125 36126\n16999 44929\n78050 80033\n73957 75184\n51960 88585\n35717 59707\n56529 66143\n49690 94722\n52163 63039\n15053 60572\n33882 87003\n91574 98061\n19430 80082\n53249 74554\n19534 41008\n75219 79344\n58313 88739\n64835 78794\n54326 55436\n72165 74980\n6326 27767\n27790 93970\n31177 87796\n19576 84414\n27803 76139\n28837 95625\n11174 94881\n58928 71157\n48458 96561\n1950 37052\n41857 89139\n6767 20017\n4596 87190\n85015 96338\n32263 93783\n45458 70632\n48302 54795\n49 16023\n21923 25445\n34013 63899\n23947 54849\n49990 78431\n24613 66377\n41275 60903\n77285 92740\n44560 44737\n3360 25413\n14160 74178\n43751 69408\n27728 36122\n31577 50970\n55412 89815\n19978 58996\n12325 86202\n31187 44962\n82344 94424\n39345 80125\n31183 50921\n19634 62790\n7434 75670\n5250 16627\n30712 82072\n17637 36438\n71665 92982\n28016 92423\n50770 70923\n31400 75003\n18021 49078\n69026 90583\n42578 42992\n3952 36829\n50238 72421\n14286 24388\n14750 87013\n39241 84682\n32396 59410\n14629 36268\n8235 29628\n65662 70554\n24308 42293\n65723 68031\n36369 62117\n24165 87639\n14834 88591\n34617 43843\n13409 91165\n16258 74567\n9386 68271\n17073 84774\n32321 83091\n46185 93643\n18795 29115\n10997 13728\n57019 66345\n61867 64894\n25694 71801\n23320 59824\n20002 75448\n29132 72325\n13132 47719\n13403 88656\n32354 78722\n23177 94014\n31269 34076\n28568 79270\n56257 66866\n68235 98452\n73025 80993\n70664 88359\n54632 76222\n4369 76730\n9711 18184\n47458 48743\n10057 53369\n9718 32457\n2293 13747\n76395 76877\n1807 90628\n4164 55482\n38179 77117\n14218 39279\n57333 85706\n26874 57707\n45655 64007\n13736 82024\n32949 38948\n36259 37902\n35778 89822\n30613 74868\n69863 71842\n61692 83915\n31036 69805\n29078 37700\n80133 85764\n76693 78035\n39278 94901\n17468 51282\n73595 93236\n59688 95942\n31140 97346\n1130 93769\n24286 62321\n17560 98793\n11493 97291\n43159 89679\n74141 79856\n10124 33409\n25165 35307\n12793 16539\n75864 99999\n11202 20970\n45093 59375\n16999 98203\n7258 62193\n3953 56472\n12512 72761\n11849 96480\n33146 72038\n1694 41896\n9849 81253\n21481 78509\n14702 78169\n51851 85663\n11667 17408\n28956 59094\n57125 78981\n1510 80706\n49378 65288\n75295 87360\n54534 78197\n38339 53644\n57953 67445\n56542 97547\n10902 13772\n83023 98001\n4167 82141\n48235 50450\n16399 95755\n70664 95110\n4777 52550\n55741 68762\n18339 36820\n9237 93760\n6150 71306\n14934 53942\n11781 69304\n10674 76768\n37174 56351\n47576 88274\n5656 55070\n15946 70498\n46195 80201\n50975 54428\n8384 51521\n4188 17978\n43762 88080\n16508 84529\n12560 93703\n7433 11176\n36039 68354\n51541 58290\n48994 71183\n9064 83698\n34385 93106\n76680 97218\n21487 43250\n15206 88286\n41262 80062\n68174 88476\n23678 31217\n877 52039\n83623 96494\n51325 74694\n39011 76558\n618 52101\n18545 38678\n813 57393\n17563 96223\n6253 33087\n55484 94769\n16745 78998\n13719 73233\n64651 70560\n35432 46316\n61834 85970\n34427 38594\n76596 98662\n51983 87249\n34858 61805\n25571 57836\n13302 65032\n18101 82422\n29624 49063\n44051 67246\n12682 28096\n3430 34931\n19019 34407\n12244 84814\n4646 79366\n23119 36816\n21984 53278\n296 55772\n21477 33013\n18206 78949\n1770 94934\n85422 92184\n53442 56181\n36436 55222\n22855 57406\n4003 56650\n8428 53028\n43314 53150\n2507 2771\n40584 49052\n48192 61988\n5343 10796\n31887 73474\n9336 41670\n39516 84334\n22915 90129\n491 52810\n58434 93181\n30853 54022\n20190 56842\n20227 45124\n45084 77895\n41077 42244\n33744 54508\n7480 41522\n2880 26299\n31211 71464\n9770 45360\n20680 87115\n206 95025\n33642 86652\n5536 55275\n47904 99973\n73694 93559\n36214 82310\n57193 75975\n6901 72163\n17544 79748\n45871 79084\n16254 80082\n32796 38053\n43435 79042\n84523 95914\n51715 64496\n26085 90050\n75962 76756\n18793 31601\n55648 89507\n15172 59216\n1683 7386\n26749 78083\n85071 99745\n11484 22047\n39111 64981\n17876 46817\n82190 83810\n76268 84959\n38383 50301\n78306 97663\n4150 97748\n29859 59242\n5792 84772\n40063 51888\n16961 40124\n9058 78524\n67100 77979\n43982 88702\n50414 77253\n73721 96098\n30650 78837\n32260 51802\n69914 70835\n40174 58511\n46356 68897\n11820 14394\n19335 93595\n2695 13986\n26109 64867\n7984 48469\n7333 10139\n46630 69298\n17693 88497\n35762 93384\n73686 74808\n2311 4273\n5944 68268\n26046 91780\n15438 31354\n16960 30680\n79903 87018\n44640 99773\n66708 78421\n22734 90010\n73585 98305\n21785 77225\n80668 87882\n5577 89875\n29470 60129\n26804 76341\n8803 20428\n78293 99089\n12491 82619\n33935 36884\n5216 33906\n7748 54279\n13773 70370\n17697 17738\n9736 89177\n41605 61840\n18385 92624\n18673 73467\n6844 73849\n5671 26322\n52871 78836\n20291 69686\n2926 3357\n18011 37308\n20160 79887\n16090 84282\n26459 50812\n83162 86814\n8781 61862\n64777 72441\n68898 88853\n20050 92585\n54171 71804\n64583 84130\n24247 84286\n79901 95971\n39 85748\n30699 57657\n2727 7070\n48636 54873\n32216 64990\n19858 33925\n61836 90352\n8880 14949\n3232 54730\n31433 53625\n13677 50357\n48958 90049\n3734 60355\n34601 75999\n50683 98398\n21508 88928\n8918 41049\n44061 80838\n44443 87573\n41177 78799\n30145 42525\n10673 15475\n72666 85193\n34039 90502\n36434 91788\n6754 97445\n13671 99391\n3314 56150\n30678 33616\n22302 76087\n36622 63783\n33105 47432\n50657 90031\n13853 42886\n55 13521\n83549 89439\n25266 88235\n33978 84442\n36340 97688\n46823 65789\n71640 75352\n76145 91344\n4638 47160\n33416 80698\n21962 96118\n52719 54940\n34174 52056\n49925 82039\n7690 65277\n16684 79985\n17624 50763\n5624 40339\n56423 93572\n12109 26978\n31373 73213\n62756 83067\n65768 76938\n32585 40633\n48956 91581\n37698 69022\n79644 83700\n86703 88142\n20217 31075\n27723 94044\n51023 55633\n40466 63159\n29650 45389\n50337 66205\n59839 75029\n31058 97534\n6966 24745\n905 35409\n12428 33477\n33756 79093\n40289 95751\n10611 95445\n5029 38921\n77039 84054\n61861 98706\n3038 92800\n12516 77321\n53813 72560\n63903 64124\n22390 76423\n3712 6454\n29644 77515\n44126 82685\n10446 32029\n92598 97518\n22049 94537\n88994 95852\n23017 53066\n5785 39370\n907 99464\n73309 88828\n57776 74665\n29395 38355\n23171 79745\n48225 53710\n75763 82733\n30788 71058\n4510 39837\n45186 55811\n53225 76951\n35718 71545\n52215 83958\n39819 79545\n4680 91221\n66920 78147\n20002 31841\n33199 68418\n74559 75789\n63533 75971\n7694 72116\n381 14644\n4255 56079\n21543 59212\n48532 93005\n27256 58961\n47136 76587\n24264 93110\n57317 62085\n19070 91481\n14878 27082\n1040 69725\n32690 47654\n38792 87476\n42185 73583\n766 75232\n27172 66425\n41315 74597\n38636 59725\n57903 81535\n2277 70149\n35791 98597\n34269 59432\n69310 76897\n28333 72942\n27066 73912\n73891 88489\n12943 43084\n25352 41161\n25927 90281\n48753 58141\n15550 22031\n12230 86938\n65373 68968\n10155 34714\n34672 83957\n72239 91809\n3251 32866\n54222 74471\n13372 92080\n84561 95372\n40685 96922\n14393 93029\n7633 27294\n63691 73524\n3168 15234\n38698 64360\n41470 89817\n30788 77511\n30412 87813\n8411 65910\n68185 86086\n6231 20147\n4250 26659\n35069 75388\n50966 67213\n3498 9473\n16022 22462\n36345 70444\n44063 94677\n40664 68639\n10728 39674\n13496 96318\n42869 87326\n29656 54151\n30976 56220\n15882 62508\n18244 21335\n29502 81051\n16210 98420\n55882 97087\n81705 93919\n32298 77209\n16461 43880\n32327 39002\n25974 49516\n7178 58118\n65896 99434\n52975 96919\n42141 86385\n30206 70015\n11844 51089\n38624 50239\n6681 80273\n6345 75092\n17282 47003\n15126 32265\n12029 79547\n73885 93788\n1354 24984\n12771 41052\n52234 93187\n23839 56122\n67021 74901\n15577 78369\n17854 30079\n42673 97168\n29363 39462\n1911 52372\n23142 56286\n31654 71141\n67928 93701\n7181 30572\n23958 60162\n80531 98121\n3749 29637\n70746 72142\n17578 98020\n9318 93071\n57588 71418\n751 62108\n73717 84753\n44943 87570\n24707 94775\n5390 24555\n64687 74368\n24883 40453\n38698 57519\n85359 87793\n35635 58777\n31916 56254\n41680 73614\n1314 66044\n18992 49725\n31045 37747\n21822 64922\n21086 45582\n10984 66062\n20694 98877\n33418 33496\n17510 52787\n27749 84247\n1438 12791\n33842 52446\n30701 32523\n15545 24379\n6149 75926\n10675 56886\n610 89563\n64693 94462\n32689 64957\n56596 71409\n25096 45033\n21314 44838\n22536 76710\n37914 67324\n53327 56806\n8588 86010\n13373 43701\n6071 28635\n38063 39446\n22252 86304\n39282 92748\n73534 78763\n51698 56732\n22242 73377\n15145 50194\n2117 13099\n87895 98545\n22780 50104\n77575 86231\n57704 76191\n21445 80147\n36120 54913\n32643 35091\n21150 92456\n6008 84069\n13404 86788\n46538 89618\n33040 85032\n17210 26535\n14389 71802\n22572 60146\n27843 86276\n7415 83533\n35302 49704\n37280 61270\n76948 90758\n9519 37426\n63504 80840\n2859 68679\n55431 77204\n30279 95385\n28233 36201\n55338 68125\n6295 62283\n39890 95061\n22742 98652\n89210 96236\n14955 26002\n14102 14467\n3362 28968\n3206 69942\n38968 59583\n58251 72010\n86047 92640\n25815 60026\n20948 45565\n11150 47598\n68577 90917\n52177 67046\n50822 78776\n3101 79984\n14590 17102\n11495 88705\n13989 87277\n21928 45267\n18292 58088\n44270 60385\n21054 29067\n7986 65651\n20455 41614\n72644 99679\n43739 64232\n82195 82251\n6930 73961\n44132 48673\n897 80230\n48050 58740\n83304 91148\n51952 73054\n23287 39597\n50734 83737\n10923 74001\n51303 61130\n85076 95078\n51686 96335\n20003 28274\n29006 56106\n13193 97052\n25396 30569\n18856 58666\n14394 36919\n47578 54332\n1321 90654\n10824 41811\n4627 68798\n89494 95555\n25352 88574\n34537 41557\n87326 90100\n21892 93111\n25262 50548\n16896 87577\n24207 26985\n27856 29917\n42160 62933\n18338 42439\n20590 40937\n86708 99712\n1239 70459\n20661 21716\n60812 60932\n47869 84234\n9097 56700\n39032 40588\n18561 32072\n8731 29780\n14410 41103\n9126 27436\n61592 86230\n8910 99641\n1931 29731\n4937 49205\n77340 96235\n5202 19190\n1676 75998\n39828 69923\n37890 78136\n80939 94666\n71979 97956\n52876 88816\n32590 82488\n22334 59639\n7044 25658\n77835 97208\n15365 60382\n42002 53910\n19658 40638\n5739 90270\n21989 97242\n74933 98249\n17102 61770\n39996 82144\n66552 94361\n69815 74599\n24044 38725\n3650 77954\n10166 31542\n48061 80072\n5045 73937\n48925 92511\n46945 78566\n60743 80076\n8833 80138\n10701 17921\n80936 94441\n31828 40131\n24253 26221\n27602 41933\n67633 76251\n27527 33291\n39110 82072\n16918 35435\n23488 73643\n16252 41431\n12366 35306\n11839 81172\n2526 29063\n43842 51153\n42389 77309\n33938 59818\n71558 95886\n19369 38714\n25532 56015\n22488 78589\n50496 90004\n10930 59991\n11377 40365\n88800 98296\n25606 89011\n15242 20110\n80772 96231\n26148 62172\n49638 97648\n20251 96823\n21972 29493\n23014 97848\n18978 88980\n5617 75379\n2056 22735\n31206 86120\n25465 52900\n80554 80759\n42838 76125\n19687 58562\n4482 64604\n16690 30293\n20003 63980\n46838 74082\n63606 95773\n49132 61439\n3195 16479\n33857 87097\n35007 86339\n82987 87122\n44407 69360\n1940 51073\n25749 56009\n54296 63153\n907 59624\n62892 71082\n37206 46031\n22806 59851\n37065 60112\n9811 34125\n26111 52542\n32961 72173\n40537 64715\n35307 59541\n18858 19821\n6570 79223\n24089 38599\n67618 69661\n32978 41891\n13092 22044\n41714 76497\n4220 57366\n61882 73226\n76386 99727\n10980 72575\n1032 23291\n13971 19089\n43534 90459\n69907 91807\n77275 88209\n62600 78515\n45716 51078\n66414 85017\n31042 94755\n9867 61979\n34703 38532\n5269 89404\n36901 56194\n50793 69639\n57694 77443\n11735 48951\n18346 64704\n13505 98969\n52028 52492\n10928 25164\n39716 70593\n31503 90833\n3443 58834\n7147 32763\n36178 85708\n20159 30046\n18912 87830\n48875 61009\n22854 71033\n12049 13666\n5243 75508\n38853 70181\n42269 59802\n50204 96950\n43914 99460\n16247 70936\n12786 97802\n38130 65780\n44000 95307\n52104 75132\n10225 52153\n4029 11482\n2361 79742\n4686 68538\n14131 48401\n42752 45479\n55543 91849\n15437 63656\n15605 46119\n35020 86090\n3273 84701\n18427 37944\n91374 92978\n38865 94515\n64599 69844\n35305 73824\n3688 10905\n34981 59392\n6083 43725\n13442 67685\n8555 58786\n50541 61325\n27558 43982\n16443 66581\n5931 51599\n24561 56628\n53488 88449\n16747 17345\n14573 62254\n4437 65247\n444 84681\n30792 68555\n15648 77683\n26681 66291\n49719 87679\n9317 31553\n29881 48228\n3327 65806\n8475 28975\n26248 87843\n20949 40336\n15088 53830\n13161 67050\n32744 86581\n13837 86928\n34053 70607\n19990 41890\n41493 80021\n4560 47017\n7731 74237\n45719 76947\n90771 98905\n31173 90803\n81378 96645\n20254 68767\n579 81353\n34474 80057\n21230 88029\n24368 58677\n37241 55273\n19948 90373\n19563 34764\n33597 39849\n44639 65692\n17754 24580\n42027 58507\n25872 61822\n11163 41063\n73122 80659\n41067 54318\n17473 86993\n17057 40106\n86804 95015\n59838 60121\n13992 80120\n60322 70515\n2 68593\n84862 96528\n82705 94596\n1760 60400\n46063 54413\n49980 55239\n37241 97032\n8707 22237\n15508 83192\n75039 98153\n32950 97075\n26705 58906\n88709 97822\n1979 27109\n20661 68823\n46806 72346\n24093 61183\n9113 77370\n67057 84612\n4218 53275\n3057 29044\n4246 40434\n1045 62835\n14244 73568\n4163 58377\n58247 66423\n25750 40172\n5074 68959\n51802 79332\n29659 63617\n54282 84091\n52480 57710\n190 15195\n62268 82555\n18436 23283\n37328 73333\n17248 88891\n15932 68333\n45082 80995\n88288 96122\n50051 68558\n8002 91766\n61156 73664\n12936 57248\n60347 65043\n31276 44435\n41621 79282\n13538 45030\n72235 91542\n214 71761\n19147 68443\n5757 19317\n74105 83974\n13805 72363\n65325 66699\n48995 85200\n18526 57513\n44898 66955\n10265 18795\n11150 17285\n58571 68638\n66211 73259\n25981 87070\n22540 83185\n34435 67656\n27582 27789\n3242 70182\n71005 79716\n3538 58114\n22501 77763\n7158 47567\n25857 64110\n77125 77802\n37435 41775\n19315 69330\n53695 98510\n65011 72332\n37204 38823\n76363 79057\n77255 96825\n31138 90806\n30113 72557\n37610 57071\n72151 86944\n46658 97249\n38715 62348\n6096 51724\n5134 25933\n55641 88928\n34203 75359\n36111 59037\n60700 89955\n50768 89940\n43350 74088\n41533 72661\n14457 72920\n45482 85793\n8677 73978\n12821 88066\n42838 73424\n11194 97899\n45312 57789\n49563 80182\n57189 90517\n79587 91734\n58547 72171\n30090 51389\n27071 36124\n1306 12643\n14754 68205\n29542 77567\n15418 73445\n16787 20592\n73394 85970\n9881 59179\n26309 58843\n77501 88727\n30008 66326\n3726 32198\n16324 51117\n29543 95870\n57806 59874\n69144 79034\n5901 88460\n12507 33747\n47279 91408\n50909 64353\n3642 53393\n15888 90127\n70066 71894\n51066 91240\n70689 90446\n27744 64368\n44143 52444\n63848 85820\n53203 93725\n22847 57133\n22986 37182\n72038 79721\n62178 91910\n52230 63032\n14558 69181\n6953 22913\n78134 79684\n35514 71380\n9420 62519\n5102 89522\n57803 99003\n4276 99191\n81427 91180\n31289 84250\n1351 91000\n59295 94833\n67478 99749\n9682 81115\n66476 69742\n62831 66875\n6590 75560\n31357 79525\n23484 28648\n14894 95692\n865 88088\n3223 8931\n57337 72276\n15934 40350\n18688 24596\n46482 51339\n42041 85530\n68561 89068\n37321 84860\n15358 37702\n4499 76487\n7070 20714\n47489 93157\n54267 55587\n8972 81796\n80917 94603\n26852 55581\n12354 71868\n32320 86864\n28905 81031\n34915 59948\n45988 46327\n68612 99880\n72763 85369\n57100 78715\n8983 16259\n1594 65134\n55825 93213\n71572 98226\n65401 74210\n3431 89112\n12434 61290\n97651 98559\n48694 56824\n59156 84229\n58421 85876\n31375 97339\n22299 56545\n29031 87360\n13503 21544\n32445 51131\n24427 58655\n9135 32701\n55356 74309\n43717 68829\n51773 92168\n38743 88753\n64186 80150\n6390 9227\n8532 55833\n38061 60201\n46995 81719\n70585 79652\n65119 99681\n65166 67343\n34520 48020\n44118 97473\n33385 98326\n2200 52336\n30775 76462\n48332 70839\n22836 81281\n13758 57223\n21959 76304\n955 45076\n2518 66588\n36605 36865\n26433 52561\n9110 98574\n55906 59763\n2922 6240\n44361 95222\n14319 92541\n25532 88187\n16353 51243\n66569 74005\n2354 77975\n48315 78953\n4439 91776\n26103 26833\n16524 23657\n6360 21663\n6776 89549\n42952 74466\n10626 62372\n6442 28490\n1303 70485\n10009 94867\n10133 32120\n48090 48166\n23590 74633\n42036 89818\n6570 88433\n25953 90031\n74626 81501\n20351 81293\n59308 97043\n70190 84399\n4832 38507\n21853 89878\n15039 91356\n60622 98518\n28378 68080\n7366 40372\n19238 77111\n10409 38757\n14427 49310\n59593 98707\n78785 98084\n58267 73320\n18774 59719\n26219 73865\n22377 92854\n21801 91536\n6855 10997\n9281 77462\n50230 67610\n37916 95647\n21083 73603\n11830 35320\n75962 88023\n34482 40850\n8424 30060\n63717 76409\n23328 45626\n52553 61726\n78830 81779\n4050 86106\n2505 23917\n7730 34967\n48206 57606\n63545 90866\n62802 91784\n21507 61781\n19486 51683\n12583 84890\n19845 93987\n16980 40690\n20649 30996\n52509 76746\n45085 69701\n14479 70596\n61056 93896\n7827 57278\n16513 82822\n32880 63872\n28481 31575\n29347 70358\n36711 87141\n36972 46285\n27665 86234\n19388 92774\n40446 61968\n3179 52048\n70819 94331\n45583 93071\n53221 62859\n73913 74376\n37878 92537\n56485 87980\n6989 32640\n16402 35335\n44133 58108\n54179 83414\n10989 25602\n24567 48820\n32735 93374\n31961 49676\n15562 79985\n57730 69317\n10078 30133\n53815 92186\n54191 66408\n15956 84276\n84927 92917\n60731 78697\n50774 99376\n41532 98773\n13282 72659\n13591 49059\n30760 85686\n3982 72750\n50789 91942\n57836 71203\n5130 85674\n9569 80075\n52749 66147\n9759 59867\n6820 43893\n33206 87561\n13615 41018\n24871 88186\n39417 63219\n1975 87839\n4419 97916\n14038 19218\n55300 64486\n56364 86325\n47724 53064\n38109 70413\n31125 71961\n11566 44120\n9110 47304\n12586 33079\n13788 22945\n433 1538\n31419 68335\n21290 34941\n29409 53920\n40881 49907\n18284 70609\n13499 59715\n24406 36858\n9504 79300\n82845 94249\n14462 23173\n44170 82601\n64142 85899\n13517 25385\n52486 56576\n17938 60163\n42144 72716\n85060 98279\n56758 85775\n223 53832\n61640 93470\n23063 55898\n12980 89330\n59962 84636\n8217 9636\n21407 88650\n14745 75769\n5826 75552\n18725 89843\n64456 91929\n9873 89382\n66731 71223\n29946 90894\n62130 67525\n15483 71378\n37286 70072\n7748 42073\n37381 44163\n32560 34538\n74191 76808\n77035 89389\n12506 17265\n28244 62019\n12901 40927\n7428 35737\n4109 51321\n27809 80570\n40750 51440\n12041 72297\n65716 85977\n50159 93055\n43343 82955\n1635 13663\n46445 67772\n75943 96959\n38763 53298\n14554 49097\n36269 93500\n23062 57027\n58150 98690\n66199 97717\n7688 42244\n13838 62076\n57337 84950\n26588 86600\n57937 88970\n14828 47413\n17257 83219\n48579 58477\n2440 29919\n44452 88965\n3519 16560\n36494 63191\n8170 34490\n48842 99369\n38070 93876\n47394 64667\n2890 59985\n46922 66262\n19346 41809\n18034 26796\n18107 49213\n60826 93034\n42008 94318\n70194 94609\n17563 84593\n5715 18562\n18833 81327\n42488 98667\n65038 74340\n26441 58317\n11488 73712\n884 38211\n50218 84691\n6375 70517\n8133 19842\n28028 93343\n18714 58275\n17626 21272\n16165 30135\n31925 33510\n63817 69706\n73323 84263\n6714 62738\n6013 94621\n67820 70132\n15761 98025\n34482 57628\n18198 54123\n3661 99288\n7729 9896\n19770 53530\n39660 52641\n18929 29729\n48934 54319\n64462 81231\n70586 89031\n26850 44765\n38227 70180\n64928 79174\n61333 63008\n61607 83529\n38393 93654\n62685 90189\n21101 46863\n4174 55583\n82005 87816\n42644 88438\n13246 47192\n28107 28856\n12616 78779\n33838 72230\n56165 74886\n1733 95952\n18667 95618\n20708 53241\n28709 91926\n2991 58386\n68257 99961\n26036 48373\n37889 80566\n47641 51189\n5369 86944\n13010 84386\n3472 35448\n62798 92410\n7444 41410\n55244 79344\n5424 76201\n88873 99830\n18741 63697\n5710 6575\n13932 74707\n42722 87391\n17699 68711\n345 47979\n13892 37631\n31075 67761\n5241 35776\n48574 71037\n61538 98287\n31887 89577\n2827 27453\n3525 70048\n21227 33210\n18078 30889\n46018 87642\n38317 82233\n43972 66698\n11849 62712\n26396 26550\n1895 97286\n52709 81538\n28242 57073\n26688 64182\n16097 46252\n1799 96355\n79596 82312\n20014 64910\n16326 48675\n10501 44737\n26206 87024\n32832 57364\n4098 53862\n11638 62732\n5514 20735\n89680 96592\n5680 44996\n62614 95676\n26734 49984\n3518 23162\n15829 88444\n27722 90233\n31957 60106\n30679 98944\n39439 81104\n1187 24370\n19302 47680\n54858 60083\n34218 56198\n3835 32508\n18158 31563\n1682 12317\n21678 28317\n12125 80751\n12581 49243\n8835 22227\n14620 85310\n5812 94380\n2735 59282\n39078 52627\n21776 69054\n22715 56927\n51390 72031\n18859 34751\n64494 83166\n19397 81005\n25736 63131\n37133 84686\n29420 35715\n21436 68499\n49288 62991\n37809 99230\n9419 66171\n65718 81703\n42574 55962\n23436 73711\n15291 98026\n1165 23309\n63148 80150\n24147 84714\n45388 47409\n25737 69605\n44134 45683\n65414 94638\n68284 70296\n26117 55833\n30012 64144\n41497 53015\n21567 23301\n7211 21008\n69050 79446\n617 65933\n11976 37754\n36060 68012\n12929 98443\n91041 94836\n27579 51243\n20787 98976\n12174 89068\n52133 68382\n857 62634\n63936 79449\n2511 37140\n25462 84315\n43504 96782\n11960 88722\n40288 42950\n25274 44281\n25483 87664\n13555 41446\n44201 65118\n82846 83957\n6376 60467\n56544 84200\n28620 94684\n14217 44598\n21234 74148\n10085 68989\n28358 99455\n46914 78401\n29450 90491\n4275 22994\n30891 39079\n32013 57871\n12302 90014\n19683 41917\n64062 99477\n12576 91673\n44783 81736\n49536 56883\n4622 65666\n17070 46914\n41032 76602\n8160 52230\n21616 23597\n20915 85453\n1318 99654\n12096 79340\n48606 52289\n72067 97314\n19035 34310\n36575 86201\n25942 34386\n5734 15704\n35124 70529\n30964 32951\n11548 60794\n7853 54686\n46656 70358\n47878 81462\n12209 54120\n34448 89058\n68667 90936\n7050 63919\n72467 82058\n21858 79118\n12545 93987\n8502 13409\n53881 64658\n8226 96097\n48884 71051\n325 81833\n11847 94466\n38676 57484\n38153 68441\n57508 76783\n1099 12215\n25119 40412\n8276 19521\n15206 37355\n2383 69999\n54453 81942\n14879 97880\n38753 56002\n15060 42887\n58935 71561\n15850 95145\n49368 51357\n37495 40045\n33477 49039\n71759 91161\n13150 30112\n7575 65019\n4053 79289\n12269 25792\n12523 25281\n17449 45839\n29037 63225\n59592 71047\n23878 84332\n49293 52531\n40522 83054\n2881 3182\n40276 57311\n50511 60433\n34233 79460\n7392 75453\n26761 73056\n63665 64026\n567 43983\n26 80403\n47212 96966\n19541 75982\n16384 82033\n53619 61881\n19004 53200\n85077 89765\n3202 82779\n29475 33752\n91385 92676\n10735 72461\n76911 96385\n45676 50633\n11884 38583\n51687 64705\n1603 74325\n42370 54640\n81209 99068\n18750 56412\n2993 93882\n2165 34611\n9964 45226\n52164 62601\n48116 94636\n55527 78193\n37174 73485\n15742 87975\n89320 95552\n17910 35517\n37228 85216\n86411 98416\n53871 97372\n41739 68778\n61819 98589\n27588 31082\n65402 86580\n17348 74235\n55311 94617\n65985 97647\n27419 56121\n82902 99605\n58268 87848\n7262 65731\n57476 60847\n10959 24282\n31923 55248\n34109 38994\n4388 44760\n31169 49573\n35242 76821\n31076 58390\n65748 70187\n47258 92850\n39613 83011\n36926 72200\n14263 67370\n7798 12702\n31328 82485\n77451 88492\n64288 90092\n62010 98248\n32019 65968\n30083 43730\n38784 82444\n69301 91341\n21826 72806\n14559 65066\n38797 79199\n48825 50994\n19797 87002\n6536 85172\n11786 24514\n21680 96940\n71194 97073\n36187 45635\n62885 64912\n45185 87821\n37409 75486\n35275 53214\n66095 73354\n37538 53167\n38540 87968\n73582 96788\n22827 68175\n46970 73503\n20369 77027\n3785 32357\n18637 96558\n15592 24172\n57636 82589\n7574 19085\n9326 86385\n61054 83199\n3217 16509\n36633 46491\n16654 89135\n41250 91000\n5234 71875\n15507 63135\n7434 49584\n82 49629\n8284 11017\n53595 78125\n10626 60776\n42186 92587\n75957 93279\n26306 48466\n30583 55249\n9986 65126\n64453 90079\n9102 75897\n1283 51757\n4481 52351\n11399 41716\n15149 26501\n40511 98939\n23340 45172\n41801 97474\n5159 15380\n23276 35422\n63169 93488\n24603 98577\n54675 70214\n37060 96640\n66210 77281\n38585 75613\n1019 38567\n34988 71035\n29006 47802\n9997 28569\n5790 63731\n34650 45261\n26809 68407\n55959 97405\n30383 82736\n355 64436\n3342 71741\n8812 58941\n47302 93025\n6204 29038\n48876 61885\n13781 89416\n3335 63069\n32928 90668\n15814 43528\n10239 67180\n71387 80470\n77708 78320\n25004 34923\n55381 68175\n6285 91009\n3619 89557\n28622 69211\n62620 72545\n6601 54009\n73802 99019\n38101 71908\n79863 82037\n35115 43622\n43517 56118\n35025 75235\n63260 86840\n15450 39971\n18203 89140\n8774 10680\n11755 62837\n8022 91697\n58130 96588\n9039 60272\n30929 71839\n33405 93674\n65858 66062\n48816 61919\n66815 89703\n25152 81308\n6213 82548\n22237 47384\n10284 93690\n1959 32091\n5723 69114\n13460 81628\n54567 74378\n5215 5593\n69668 92780\n10325 57801\n82868 87678\n43371 57219\n15001 40985\n20519 49130\n34160 58636\n21723 53922\n36960 95151\n12147 72544\n4398 88745\n50134 81883\n12202 67519\n70235 79653\n21637 29871\n27126 85903\n13015 74780\n45410 98545\n29300 87187\n62455 85846\n11266 67578\n28514 73347\n78702 96163\n5186 43841\n44776 59240\n72619 76622\n13414 96611\n52834 79813\n34675 99734\n1202 33229\n27812 59788\n71018 92167\n58344 64219\n25717 82460\n8670 30506\n52782 72384\n72862 87857\n49537 84220\n23633 68908\n15379 83179\n12291 50247\n68650 79254\n24517 60596\n77747 92640\n43687 72290\n15834 71727\n24112 57628\n1062 98182\n28099 49908\n53556 95780\n6495 96400\n6092 93214\n37882 82540\n34933 95368\n63555 82349\n43721 89960\n22200 44647\n44792 81999\n18342 44006\n30281 89242\n2156 3591\n42076 60854\n21819 78060\n17066 43673\n9495 16479\n71396 93313\n52346 54131\n9042 35818\n47095 68958\n14179 61829\n45145 56978\n53165 67550\n32813 37722\n57349 89551\n3975 43260\n30738 66842\n38822 44987\n53111 83140\n46563 77733\n96406 97238\n42832 98846\n1209 98703\n30976 54831\n43577 69920\n77913 87250\n29313 39242\n26273 30913\n23717 45486\n7441 60572\n51543 97579\n9864 51201\n39591 96390\n61981 75051\n55857 65295\n30874 63463\n46133 52542\n22693 94068\n18941 39078\n29969 49210\n35194 94708\n7477 78894\n17585 76464\n19611 62467\n11363 78878\n53745 79522\n66096 83331\n33281 89925\n1719 79070\n3803 13729\n11704 88559\n28077 60574\n46773 67358\n10778 75922\n19289 87668\n2947 57923\n4898 61082\n24216 42471\n3187 11235\n16139 18987\n4352 7146\n40175 70585\n51674 97090\n13861 98425\n30209 31934\n27316 63186\n27569 82806\n57881 86286\n6247 24689\n62776 82076\n68930 79757\n8101 35507\n37214 58861\n9449 40325\n14457 66576\n581 68250\n7522 95106\n12188 49183\n19525 90324\n59768 70473\n23261 85028\n47453 69047\n67104 95942\n17775 19772\n8835 79865\n56583 61915\n4438 7699\n19480 63141\n15474 18493\n10473 55226\n57425 92139\n20783 54446\n12233 95114\n53010 59990\n9431 19089\n2266 92836\n60908 89378\n76774 88210\n30185 70532\n54616 82541\n31008 63011\n35022 82092\n10530 98245\n42224 69476\n46013 93111\n16007 68397\n41756 98656\n41514 52059\n16927 43666\n95064 98334\n20937 32318\n69649 92289\n3542 26187\n66856 68737\n50497 62625\n1047 2510\n33500 56683\n38404 84197\n1458 7026\n7091 88746\n50744 81361\n10186 90837\n6663 78633\n13549 64658\n54688 80523\n12045 46856\n43918 76796\n11149 91955\n44785 56762\n80105 96338\n33681 77595\n27026 90115\n10835 11772\n6409 92259\n26801 82010\n79322 97402\n7174 84190\n25065 66826\n9393 31482\n72316 87671\n12775 73760\n7413 97325\n85992 93606\n30390 93241\n91428 97427\n5223 44590\n43467 70823\n69981 70101\n79156 85973\n12204 31149\n90350 90440\n34576 89500\n29382 87599\n1199 28523\n73046 79496\n70616 92492\n24789 71717\n38446 95535\n4313 91091\n39266 99529\n63277 98326\n55070 93137\n20830 35231\n22495 85356\n34597 81690\n31771 83583\n45775 64102\n54910 72384\n58362 77205\n50646 87975\n41382 62322\n45486 72273\n42001 56907\n786 63376\n7596 37825\n82668 95125\n35066 62057\n51147 63101\n1811 9529\n60864 75084\n5937 57609\n84323 90857\n11229 40797\n16243 69511\n29755 36483\n7707 94088\n20785 39555\n73064 94759\n47053 77588\n53043 99471\n56999 81394\n24986 71303\n10289 47367\n10502 13403\n26146 27891\n36648 40454\n29617 82062\n20216 27760\n26449 34877\n26080 83227\n22186 60147\n36864 72985\n55216 88004\n77130 88224\n15820 21502\n8393 14868\n15027 47232\n72319 96191\n18774 62147\n13943 90687\n25578 67925\n2468 95867\n41545 48435\n26957 68322\n15112 57227\n62684 77222\n36487 89264\n66248 85508\n20041 87790\n70725 92139\n8729 29415\n831 11900\n46812 71359\n10491 83690\n1521 11398\n21424 93585\n7694 18328\n1223 65494\n6390 81122\n1412 85605\n28918 67166\n12260 80320\n13605 86171\n32480 42612\n32259 46429\n34952 69290\n2514 28086\n55677 80754\n58550 93404\n12729 15551\n21853 27364\n6873 94812\n8734 16916\n49604 81568\n43158 83997\n36253 59854\n58275 61542\n36094 85066\n9978 25960\n49362 79934\n24072 81339\n33584 37929\n12138 95656\n37644 45500\n77648 85317\n22097 36402\n14760 75070\n47452 93121\n53809 77341\n53851 56377\n75547 82514\n20580 46058\n21907 45266\n76620 91587\n58025 98182\n57473 78281\n39869 91668\n5169 24012\n43810 63320\n10266 82168\n52107 75708\n32071 70977\n76144 84350\n16969 28491\n6928 7435\n41432 78220\n11358 74206\n32977 83893\n39463 73045\n64095 71735\n23034 34328\n48215 98556\n16838 55188\n29133 40418\n78404 84406\n19410 84327\n29278 59530\n24438 60973\n22891 28024\n32461 74527\n55385 83857\n44763 66396\n15450 25961\n12187 84451\n13847 33049\n46623 74980\n31469 41661\n54902 58421\n85889 89524\n11799 82739\n60845 68887\n31837 80500\n23416 90442\n67139 77791\n19100 77668\n49786 73614\n9887 39613\n20716 92914\n90857 91938\n44723 77297\n10839 65812\n59840 86613\n7125 53407\n30604 34626\n33535 70685\n74503 74598\n41821 87292\n36597 65481\n46954 49467\n67575 69579\n16178 66123\n19078 44994\n35190 59128\n8404 31224\n849 21320\n14765 98801\n62340 70036\n83803 87637\n14047 88633\n69677 92189\n13123 53568\n47290 95668\n3147 54191\n17594 50941\n46301 74961\n26554 83932\n11360 58962\n18158 43165\n26261 31613\n6385 81560\n51781 94072\n81052 92065\n31405 90032\n21368 88370\n18619 90680\n83438 90347\n72543 87196\n17928 61942\n9828 22365\n1711 90436\n62353 98616\n5147 62593\n8256 9316\n15963 95463\n3311 62158\n19153 36653\n11579 71789\n11408 74122\n24688 59850\n53956 93667\n78028 84596\n11609 45648\n15823 37772\n21145 69734\n9809 49142\n31782 33797\n7968 80388\n12489 36259\n38606 99624\n38573 59420\n36897 81790\n61891 76338\n61467 65329\n26099 60522\n39139 69084\n22408 62590\n41545 89736\n68165 90291\n21866 59812\n22024 40210\n47453 66547\n74992 85270\n19353 67254\n10916 61011\n39993 73671\n34341 63676\n14776 68222\n91600 91946\n29785 94725\n86311 92340\n36520 72625\n9821 75523\n48365 66450\n82674 86509\n50334 60619\n1453 63516\n33347 77411\n22237 49849\n37264 44577\n38981 45299\n6489 51178\n29997 69972\n42277 45772\n4531 74791\n95212 96542\n56634 98213\n38678 61144\n54600 66511\n1887 72783\n22615 55662\n3964 52709\n10345 43938\n3830 47243\n42250 51390\n69778 74108\n46728 60104\n68756 68998\n12249 78423\n72414 85773\n6129 49401\n5143 61056\n51330 93833\n11068 18574\n31251 62868\n29487 87472\n32836 64779\n32648 84278\n45381 69106\n17368 97373\n5879 34251\n34458 68563\n44969 61750\n79560 85193\n32819 84011\n9201 77412\n87657 92827\n8940 58303\n57582 80087\n53845 79803\n43287 69767\n33301 64277\n2376 10461\n58822 92030\n86019 92049\n67936 73234\n11305 95288\n40273 77406\n77310 78436\n36980 45560\n49940 60506\n15772 26064\n24693 35030\n8287 56636\n13720 85701\n24266 76888\n25141 95826\n25499 37194\n24084 26169\n14492 99830\n78468 99605\n9886 28212\n77599 85036\n2732 44650\n8090 28013\n49709 75402\n6167 45975\n76431 92097\n55992 73861\n64310 70415\n23113 78983\n90743 95576\n43101 78239\n65823 74472\n50244 78657\n51952 72459\n8344 74949\n22054 39282\n22810 49228\n60556 77714\n1704 72646\n6563 76770\n5729 88535\n55734 64411\n40605 63465\n49604 89731\n12368 93224\n68789 92033\n48508 97785\n33923 69565\n26454 83388\n44148 51593\n8961 57265\n45595 81431\n7011 23875\n44365 90936\n3356 44602\n31464 60672\n85400 91670\n3334 51063\n25419 55859\n15430 56579\n33647 41793\n9963 44584\n34545 92241\n754 54638\n54830 69219\n24952 75035\n6988 50528\n54035 70325\n25994 89661\n27251 57239\n33993 59611\n61247 82625\n32351 83698\n21154 81473\n79171 99072\n31178 86281\n42138 91536\n40633 98058\n8586 43390\n3623 22785\n6458 88543\n7563 82113\n42266 88193\n37330 48872\n3981 58183\n17432 24299\n24911 65197\n31360 44703\n2907 77954\n36737 48783\n6763 93724\n8172 41320\n36544 73998\n64982 90895\n43134 80558\n12594 85080\n47381 55633\n15670 54248\n30920 58729\n47978 98249\n55095 91808\n77697 94015\n20293 57000\n87656 92268\n25393 47447\n70305 73012\n57568 95238\n47262 86965\n40308 61277\n34082 93399\n27190 92915\n6115 50953\n2757 41894\n42510 48572\n36897 60833\n66075 93340\n27320 49159\n8353 25095\n75010 77345\n16317 82932\n73131 75724\n31313 38286\n32117 98542\n57557 61519\n16971 69440\n10207 91116\n32545 38689\n20532 82255\n82816 85505\n35941 95192\n58312 82131\n8749 60023\n34892 53193\n22818 71187\n37559 68775\n6472 14650\n22962 48225\n7883 73126\n76041 91383\n33648 50529\n35033 48571\n18922 76546\n11842 86438\n6449 80000\n36663 90487\n2099 80432\n74267 84682\n39769 58337\n45965 85792\n1475 48976\n30014 39160\n53434 92570\n47799 83277\n88490 89075\n23801 53282\n28689 42573\n28881 35536\n4556 16006\n43919 64057\n28786 78771\n33749 39840\n53553 83973\n31676 52194\n69395 87276\n45922 47494\n90260 94311\n2550 69861\n6863 35957\n46107 66919\n42869 68560\n2523 51904\n70512 88119\n23921 57435\n3223 84956\n25080 59173\n68983 94152\n65218 83858\n5376 91164\n41856 74213\n81231 96135\n16789 75103\n5774 72806\n1108 27056\n25690 90490\n8907 79042\n15407 68808\n86863 88063\n32295 83030\n84940 99862\n23421 40470\n72507 79392\n952 62611\n43691 49006\n89121 96511\n17865 79069\n33851 54390\n79786 91375\n54132 95673\n22631 64861\n14746 29881\n24043 52878\n45089 46329\n539 45917\n55751 67581\n3774 43527\n25147 31866\n16386 85825\n56534 73706\n3924 49646\n19330 56002\n29897 50933\n83560 86683\n3486 84022\n16658 25487\n377 54153\n94616 99727\n24222 89404\n26594 51275\n26738 36084\n11880 67864\n40867 77456\n8519 42899\n22149 79029\n47908 77945\n76137 86408\n19206 26856\n1103 5267\n8566 70070\n775 42702\n16450 17864\n11730 74000\n25124 96335\n17851 56901\n547 93750\n45084 89244\n26333 87908\n20108 33526\n25443 36036\n26667 84239\n63596 68390\n34573 39858\n40169 94689\n27615 55060\n43276 72774\n60923 87998\n46862 83431\n28322 59744\n12178 68994\n6663 55238\n28504 88580\n18692 92751\n3773 69165\n26164 33357\n63947 99283\n15666 99815\n60442 88630\n82372 89151\n6972 78844\n61611 94282\n23660 33228\n72176 85667\n6872 74116\n55036 80342\n41451 83472\n59455 91952\n67613 76394\n16188 41642\n67552 94598\n101 62688\n11150 45785\n4876 46266\n4769 97192\n95033 97474\n18154 84424\n70973 99999\n55864 98072\n786 55441\n43604 92289\n12123 43259\n2161 17948\n27508 77860\n7100 63381\n49224 59392\n5372 44224\n10295 77657\n16088 92895\n47815 98604\n58385 86245\n4031 15820\n40622 61061\n8675 84724\n45114 58148\n65177 66255\n47411 94192\n27237 95429\n29086 85237\n24611 46575\n40411 92013\n55633 79289\n2375 62829\n11802 20789\n43054 91916\n11490 90434\n27625 92321\n55858 97653\n39005 56397\n58961 94658\n69531 71506\n35034 72367\n10303 83266\n54717 90765\n16231 34297\n73431 95831\n54381 90976\n8709 46000\n78284 93078\n11108 23285\n42176 72577\n19384 36530\n48474 58408\n29417 55572\n52293 98691\n14141 98267\n52392 66215\n5698 16178\n34418 69102\n22877 30707\n24443 58044\n57292 74651\n84306 84681\n33735 55281\n37495 80124\n14091 78245\n36367 37271\n96168 99502\n55822 74617\n28095 30471\n7408 85223\n33834 47525\n51738 83183\n56503 81487\n52660 73942\n15799 61533\n42336 43808\n42707 52023\n4695 87202\n86468 99171\n29738 73509\n12083 97338\n73355 91335\n27243 37494\n58843 88739\n54099 68481\n6581 79104\n16437 73471\n23399 76909\n41630 58449\n45364 50650\n49784 80740\n1245 4087\n4301 19528\n13677 30898\n61182 63739\n58181 86736\n18867 19150\n48969 70425\n75594 76801\n48074 81915\n22702 86069\n14788 19511\n31166 62398\n10992 97713\n21088 26183\n54206 67790\n8083 74122\n35062 52853\n43404 77452\n62116 81728\n19780 99713\n6094 67856\n9631 49165\n15143 90707\n13202 14222\n7098 25533\n1628 29422\n47718 78719\n12244 68761\n37026 82867\n16930 75973\n16659 51270\n189 10310\n37273 91048\n20015 75464\n26423 69847\n25160 37849\n12850 43170\n2195 77103\n66772 92219\n69702 87839\n42223 50817\n34798 53096\n1286 26008\n51360 74469\n27885 73076\n88578 91116\n80781 95163\n17873 75108\n47362 72474\n41340 49264\n16239 35017\n85573 88493\n17596 31117\n12382 98820\n44981 80266\n95400 95949\n15649 87355\n16951 40230\n1371 63536\n67243 78165\n29437 42991\n13879 22473\n70056 97161\n58360 88517\n8544 12943\n56838 86426\n45132 98574\n15569 93518\n9152 90543\n7766 59453\n54659 56821\n43201 89880\n72824 94092\n69544 71635\n11372 46474\n67269 83576\n32710 83007\n23823 97839\n41583 61966\n12930 20063\n50392 82100\n71363 90158\n28251 29902\n35451 67945\n48710 67858\n61435 94329\n50332 77866\n33714 56829\n33085 87717\n9382 69987\n78419 89122\n68285 79643\n58065 91748\n63639 89966\n11451 80517\n80691 99755\n3339 10964\n31835 77702\n20690 72807\n7462 25665\n31774 49672\n10226 41075\n31538 37172\n12810 24024\n23115 40684\n29986 72907\n13486 98849\n27252 70182\n41338 51020\n13108 25608\n4788 64674\n22156 24659\n81422 94196\n17026 34257\n82973 89051\n31338 36732\n25063 89132\n6051 76609\n23146 68059\n21278 36166\n18691 36307\n39982 56279\n35968 87951\n81746 82033\n43507 86295\n41642 71186\n35562 91426\n70938 78042\n9998 35231\n8455 90547\n11970 90473\n41262 47928\n22677 83085\n15287 88105\n12046 23237\n85163 98428\n91474 100000\n83903 88652\n48325 84557\n2889 10869\n84248 99404\n24544 35023\n39544 57294\n22672 67635\n1011 59810\n86644 95376\n19022 26884\n27420 51927\n10236 22938\n27016 42646\n55272 75346\n6624 13239\n69859 70205\n36121 89742\n8332 62284\n38237 67758\n37312 75084\n29640 92419\n74690 85380\n30706 63936\n24217 44136\n27771 32194\n42660 91955\n1511 65124\n34737 84205\n20200 56800\n23169 69255\n2721 24780\n23922 60193\n8115 87475\n10055 32955\n69594 82950\n20027 91244\n49010 77118\n34993 86506\n35919 59744\n11981 30139\n10038 82219\n84349 97566\n20676 27656\n37735 41453\n18247 56618\n40525 80923\n44711 72302\n27087 78962\n64480 87809\n5620 32463\n24413 43741\n66734 97069\n19498 49917\n18896 39733\n51636 76021\n33498 99030\n4442 41669\n61365 92053\n43993 64438\n33236 75880\n81243 85411\n10464 57758\n36442 91103\n26485 84867\n27719 55796\n52941 75432\n69868 88635\n37542 91436\n16059 35139\n61867 91416\n20501 87062\n31091 68530\n66004 83723\n27989 58704\n9574 84145\n95868 99104\n9285 74543\n60426 66761\n5383 76523\n12111 48433\n67289 73374\n39988 66456\n64045 68942\n19771 73477\n28915 54512\n27817 63446\n2262 26580\n21615 74578\n20510 85931\n95152 99041\n9477 13392\n17895 57454\n33315 65458\n95826 97763\n37834 41233\n22608 58470\n19072 47977\n27682 54992\n63754 84647\n47136 86055\n54512 93494\n9105 94521\n465 66127\n8887 17710\n42065 51740\n3929 41561\n17663 40880\n45275 46055\n6247 42186\n69832 70743\n28718 67878\n4515 87797\n16839 59641\n24849 84142\n75243 83889\n29870 73578\n71842 89070\n58176 99272\n25188 51325\n41457 41913\n25447 92958\n1468 11542\n67753 74551\n54894 55381\n76257 93763\n2195 60251\n45990 93653\n54404 59212\n14069 54962\n45747 89959\n6725 55563\n67106 83386\n59548 76419\n25858 34773\n52543 67625\n27178 82121\n48567 82365\n60299 66618\n71850 80068\n57161 96107\n40904 92221\n24764 66398\n46422 99051\n7916 57199\n12836 68115\n23496 51941\n30466 71089\n52181 56585\n8303 80177\n4614 79581\n16421 76919\n33057 83911\n19982 99743\n31821 95162\n15034 74458\n6925 45813\n11154 40778\n2979 76007\n36365 82035\n34083 45766\n1584 5161\n10768 85538\n22524 62097\n47225 82744\n386 85755\n8896 45873\n3313 10445\n27516 84234\n11378 90044\n7732 86320\n7928 78075\n41144 76632\n71553 85266\n95585 98633\n65379 81940\n7905 20477\n99217 99275\n35545 58982\n41959 58410\n3267 39504\n74567 82349\n7217 14629\n43457 49828\n13731 99457\n22010 50583\n18345 45070\n20954 29563\n43582 90133\n813 21130\n31030 34136\n40215 95441\n82797 89841\n10830 92132\n41531 56408\n67664 78891\n25278 36991\n8821 99187\n11413 23252\n45167 56135\n10401 11857\n39977 89381\n50796 73746\n8510 33528\n40631 70763\n10153 70643\n38767 95235\n81513 95592\n29828 56967\n55312 71705\n77352 94549\n20815 64220\n23160 61735\n24594 34578\n6092 55681\n93835 96717\n43882 49229\n41422 74308\n39307 39795\n56890 87281\n88554 92730\n68331 92864\n12537 41944\n45267 57029\n10677 16840\n14827 70523\n27613 47314\n8542 42954\n70587 81006\n67137 73776\n59180 66862\n58284 71915\n8767 64597\n28894 93845\n22068 26577\n23955 37099\n49912 80736\n37670 46368\n16908 63608\n9433 9646\n74435 75594\n73990 94687\n33657 47964\n41624 76745\n27680 59354\n52926 69661\n27467 85218\n50071 74748\n44576 58769\n74180 83233\n49194 98245\n63822 86584\n33469 82980\n16558 74622\n17786 69236\n60379 91162\n15016 88998\n56331 81648\n12602 45263\n55764 58837\n5776 46854\n72880 86388\n16889 30472\n29238 80733\n17531 64276\n66222 73818\n6293 23255\n57107 71564\n35516 71158\n49658 81485\n32178 67647\n51156 89994\n31783 83890\n61475 82559\n32200 83601\n30261 88643\n3370 76094\n16935 28608\n20121 36264\n36327 53971\n40212 49295\n40670 66655\n3850 41314\n61604 97615\n2796 36300\n73664 82348\n43903 91832\n53262 81981\n51751 95641\n9175 67803\n12527 80301\n1661 30219\n89692 92747\n504 61024\n16822 23135\n1065 14052\n50920 59020\n7980 19953\n54688 66455\n44842 87985\n1382 30959\n67062 79391\n4614 92777\n71578 91832\n61206 67255\n32235 73100\n12492 82086\n42507 72955\n7453 69291\n21275 66895\n7146 59296\n31730 93292\n26705 35732\n35212 77825\n51136 82959\n5927 58862\n18022 31340\n21476 49331\n6660 33945\n48365 90845\n22151 43617\n13979 41199\n52077 79255\n9299 28823\n4996 15075\n29686 67690\n71218 82112\n29332 46228\n25830 47366\n73581 95006\n78315 87627\n57172 75970\n32799 59881\n27244 38639\n44906 96328\n7947 25605\n64535 88179\n69077 76858\n19400 50479\n9730 64897\n52614 80754\n41089 45114\n624 26716\n73529 94186\n27225 67047\n43310 68198\n29328 75402\n10235 83486\n13987 30265\n18139 57837\n15009 80807\n35337 89143\n14226 40601\n16529 27234\n7301 89655\n13357 56532\n7843 64861\n20721 68139\n56981 75263\n11749 42073\n17703 17923\n23649 67895\n14813 60746\n31171 71585\n21056 73233\n43459 65022\n18 60366\n22597 45105\n2387 68172\n4426 98773\n21773 44968\n31347 73531\n89321 91608\n43115 97402\n26889 58429\n549 49052\n41470 83461\n46540 95561\n40273 43214\n47535 71201\n31343 98852\n62906 96996\n17060 87897\n93011 99867\n23526 25437\n79580 86309\n3544 87166\n4103 23309\n28995 91261\n48110 60025\n17259 43826\n43829 71004\n25818 81600\n58660 82876\n6861 7847\n21021 50754\n41689 55493\n17826 38055\n19128 24693\n40283 72243\n45796 98873\n57781 79618\n47389 87080\n34155 97365\n12400 66498\n2522 86723\n5693 5747\n19179 25767\n22701 96629\n7238 45947\n10635 77663\n7065 81749\n17157 52510\n53377 85664\n22193 73278\n43896 67477\n85886 87340\n38795 87626\n9206 84679\n25512 67100\n3894 59468\n5826 28577\n10705 14487\n41585 85487\n38633 92869\n21028 66641\n45160 64885\n27676 45076\n38653 87391\n8079 97255\n2251 8634\n21667 91906\n623 70341\n38974 67498\n67169 68574\n59683 68173\n58529 86036\n5552 49151\n63642 91325\n68974 83792\n12712 46225\n5670 84744\n16757 83622\n61225 92998\n55104 93604\n38458 45567\n74732 76892\n64107 91720\n5447 55263\n82951 86807\n21622 68275\n78762 79721\n57887 93414\n55278 93278\n26285 63158\n7209 49627\n54254 99454\n2054 58372\n40511 48882\n21111 50437\n2348 47119\n6375 30523\n39399 89675\n4060 76562\n78402 83023\n9892 77033\n62185 63694\n18585 48036\n46124 55344\n51754 85781\n10256 41474\n42009 82905\n65896 68816\n47309 68281\n18668 70206\n43810 92147\n60853 61527\n4749 88051\n19448 49758\n71757 95472\n33805 98065\n9619 23838\n47058 55780\n23320 47306\n42741 66111\n25099 30639\n7641 63049\n57089 98731\n65263 85021\n29571 51806\n70304 95264\n51513 77673\n23261 56808\n35587 81021\n19656 48334\n48612 54663\n5351 30049\n4134 55517\n27683 52194\n72194 87644\n36025 64610\n1963 66036\n50982 78331\n32855 89419\n13301 47529\n7295 52837\n75446 98132\n32069 99647\n4537 67867\n3610 29994\n14050 67087\n16787 68448\n32880 87015\n10347 36259\n54945 97562\n17576 88862\n12970 39452\n24139 69703\n21264 92594\n16886 32397\n8198 98094\n67183 77496\n16235 60310\n10448 84540\n7390 47403\n15253 96678\n3428 7021\n1965 94582\n26208 62549\n2804 8405\n5986 49593\n6599 35314\n43285 81294\n3423 30608\n13703 93981\n53429 83642\n11908 96733\n9091 35625\n23583 83411\n27809 52000\n60633 81877\n48434 68557\n7978 96556\n28492 81177\n1405 54681\n71092 85392\n30028 56822\n1001 47743\n36479 87101\n46672 71656\n20281 80000\n12191 61329\n31520 41763\n53789 81290\n88764 92907\n41954 84581\n72561 91281\n7922 70517\n54191 55729\n14006 46998\n53445 89779\n54802 64237\n16767 92996\n8169 59820\n21912 32286\n3132 87217\n59675 86073\n60019 67041\n10416 72686\n48061 55867\n6828 78825\n35644 64256\n83373 94291\n52917 62267\n3146 21796\n69982 83509\n47298 97029\n82128 87536\n73054 93029\n29741 77501\n923 45314\n36406 77919\n46989 96119\n69357 85197\n13265 63696\n53786 76555\n6542 79465\n43559 57896\n15491 94331\n6986 63816\n19098 92905\n23555 70356\n44433 66605\n94871 97013\n85558 97861\n85394 97372\n17143 91803\n20796 72188\n58118 68203\n29566 63929\n42034 78093\n4991 52120\n5911 52476\n38047 72951\n46519 98579\n37485 56711\n57776 82818\n30666 95424\n21396 82165\n3988 23792\n17012 51074\n8774 97606\n85497 87309\n6649 74274\n14920 76330\n15850 26988\n19953 85189\n1787 15957\n54973 69026\n33053 36787\n29203 77853\n10522 15141\n49081 54677\n16903 18166\n37509 97503\n24348 88676\n16606 92489\n26981 88428\n68247 78074\n10432 73379\n34708 41456\n35531 44325\n6056 91400\n12107 87184\n51952 78494\n71177 85102\n11879 31669\n24068 81155\n9141 34621\n13825 76846\n10863 81935\n64598 73517\n3797 33304\n21325 88379\n12328 26572\n43639 73600\n23745 63774\n11346 34165\n25164 95025\n11544 52150\n10087 33833\n82016 84419\n26341 79910\n68639 95315\n51084 91161\n18867 55727\n53658 79476\n66788 90748\n2962 8794\n58482 68729\n15791 17832\n38731 58799\n28923 29654\n22108 47343\n12339 78294\n90800 95462\n8482 79682\n37779 60232\n37491 85877\n32334 48879\n36367 98959\n14614 93916\n53646 69499\n62830 98378\n22456 73360\n14953 96109\n27821 57898\n42031 84115\n32178 67225\n25646 93110\n50625 56190\n72525 77245\n12781 87285\n1202 36998\n28367 72096\n32393 64933\n23566 38511\n11187 30360\n36296 85457\n23290 75669\n25364 50375\n4439 37891\n7790 52616\n428 45715\n38280 67888\n648 4318\n22734 72622\n15913 22434\n35013 87106\n14973 56084\n18620 65252\n579 76596\n10788 44022\n79833 87712\n24757 36914\n61628 94590\n15494 78135\n11919 86919\n35899 56137\n22280 62896\n4676 65820\n47228 95463\n12232 15502\n70686 94748\n10699 53957\n21663 82103\n4120 84313\n14680 64274\n2982 32451\n78333 81497\n44204 72313\n23501 64878\n13791 54498\n41080 99299\n28804 97245\n85420 95753\n20729 21093\n17481 87648\n80987 98240\n44025 44799\n36902 80171\n2068 93952\n7549 82615\n21094 28622\n30332 84266\n26516 69305\n7215 29067\n55929 78485\n2501 18446\n60913 82970\n27089 76629\n38781 98459\n51726 56138\n5826 16637\n39731 48255\n49580 59592\n2556 47245\n49423 61475\n3037 10441\n19126 20795\n24327 24744\n21251 71117\n19143 46175\n43081 79638\n20691 69303\n36941 53929\n15828 62107\n45248 49845\n48451 71678\n13618 58617\n26990 29163\n25475 77444\n55350 68331\n32073 51418\n34652 92148\n37189 97878\n10111 95246\n6997 36186\n85667 89868\n30261 85288\n39455 78054\n242 43178\n49396 50804\n52700 74648\n2913 78979\n16413 51219\n69288 91194\n34714 57559\n91259 97880\n29029 29395\n5534 84981\n4971 14087\n34379 88935\n45083 88785\n23609 56617\n50376 55649\n94735 98044\n94786 95374\n35606 79604\n78633 81984\n21507 25245\n18638 69963\n19977 31660\n64285 71798\n6107 21711\n11893 99968\n11574 27978\n15798 85986\n54577 71786\n31014 84105\n4013 95601\n23130 51053\n28588 84950\n10594 91885\n74052 74607\n27837 39225\n22212 52865\n72465 96632\n3632 20774\n55254 55692\n7540 31719\n50390 91490\n83216 93667\n37407 82083\n12944 44579\n29478 81244\n14863 45796\n27182 68681\n60162 92117\n51059 55183\n11439 21263\n52018 54656\n44898 74564\n48737 78558\n60162 73667\n2525 65634\n12735 38268\n18291 98824\n20169 81400\n67801 79182\n80899 88335\n25210 36181\n42744 81281\n17855 64985\n71052 95676\n36255 46552\n27473 36784\n33862 87523\n53343 58721\n37054 73314\n60198 60309\n13140 96432\n72466 79519\n4691 35171\n15821 33845\n65413 70852\n50006 65869\n3767 61579\n3025 30289\n47555 98635\n26555 74209\n47734 80002\n1353 6550\n87937 93581\n53792 90123\n16664 39238\n75028 99299\n79709 95667\n33360 36237\n32538 89658\n44540 81426\n6174 14580\n41363 91575\n53245 71058\n31432 97111\n77978 95447\n36112 74592\n19243 85283\n16222 48742\n18831 31110\n21437 31509\n28836 62680\n8933 13266\n43479 69872\n28415 70033\n86407 93459\n65732 69120\n15165 49304\n63562 65295\n60601 95131\n14011 97786\n13486 27472\n70372 84931\n57492 72352\n22186 30543\n20577 67454\n22370 89621\n64463 79049\n29650 32790\n52880 62624\n68769 88384\n24125 73549\n3315 21698\n3226 34859\n3840 34237\n23924 61948\n19467 36282\n90590 96278\n12656 59690\n30275 49127\n2464 97345\n47261 93028\n52278 71239\n59168 65461\n53379 93499\n45245 52179\n9090 16720\n18807 36169\n4009 90254\n13306 40461\n4865 53297\n14599 17674\n20541 86720\n28976 59197\n21553 83473\n12898 73634\n49595 68940\n53158 60926\n31646 90112\n12595 61190\n21092 65007\n50884 74189\n6220 75072\n13349 70143\n96037 99654\n39807 61152\n13325 43107\n46488 70253\n6240 58944\n64544 78901\n11072 78250\n43845 81525\n23440 95855\n14539 44733\n29496 40319\n66391 86704\n49205 62268\n21711 82233\n80428 86423\n5139 13874\n50173 93300\n36823 39760\n15394 90515\n9786 90756\n41514 85353\n3442 86299\n73051 93406\n1766 71568\n54254 75967\n20716 86472\n43818 60201\n6494 71981\n12422 32357\n32795 91241\n48788 73371\n56407 68778\n78433 91850\n41354 96026\n52184 90290\n27081 76766\n44249 45696\n40001 61212\n69173 77472\n13871 45309\n21516 23858\n26630 29433\n74901 95405\n9422 70130\n89328 94807\n71493 86860\n27331 70322\n2733 21302\n74324 93771\n54070 98519\n24074 33394\n84489 89789\n23627 46503\n28403 93715\n17773 99230\n3497 27444\n46956 98513\n9096 50953\n11788 71028\n55752 92378\n36080 62543\n44705 72062\n13419 98819\n1783 55397\n22682 62220\n61760 98850\n9243 41611\n23117 85118\n19785 58896\n42052 67319\n44540 83994\n12020 19565\n40269 86796\n24782 86630\n70231 80195\n53347 67930\n41325 93419\n28240 99147\n50099 83137\n330 30089\n19950 26448\n18795 26944\n26575 67746\n45345 71471\n45917 59256\n33679 65757\n2593 85852\n39750 64657\n2218 44765\n76870 76985\n18946 98703\n10886 98114\n64016 99412\n4640 95110\n9632 37991\n24680 71278\n7976 69717\n1753 93678\n77298 91031\n15113 37744\n24327 68500\n14850 37566\n64298 95026\n18903 39944\n24478 72454\n44646 72702\n36398 88545\n3383 79252\n26002 68504\n20949 61740\n24196 81564\n61784 97576\n430 45594\n11904 47835\n16834 67657\n33675 44644\n58949 67878\n69115 70857\n55254 89949\n89004 99946\n35413 94014\n54097 86610\n6326 10769\n52009 98502\n19065 61256\n26464 84588\n59458 64856\n39110 46115\n61046 88675\n5801 86568\n16417 19653\n38395 76081\n34664 85468\n1212 51010\n21958 48604\n54419 68831\n61558 76044\n45178 95321\n15994 46717\n39285 67045\n1044 21344\n13159 46825\n50744 97228\n35 92210\n67681 91470\n8758 96053\n8659 88294\n54224 74480\n24784 89808\n5415 25870\n7368 47532\n60462 65745\n43884 60187\n40442 51431\n34849 74282\n14151 28826\n24614 50237\n89835 90433\n37463 93679\n225 49039\n31639 48191\n44582 93057\n99472 99648\n14622 73141\n24194 38840\n36516 52057\n6617 43756\n1482 23068\n7519 21334\n3334 12961\n38989 57638\n32593 34170\n61074 74166\n55601 63163\n79425 84414\n22019 29706\n28273 64985\n36235 94121\n25685 34711\n74890 81646\n64402 73217\n37838 99330\n13783 72602\n19845 21190\n24593 93082\n66974 96247\n43978 46193\n7196 21710\n47034 64760\n32824 77072\n6306 6846\n59522 59901\n12046 21520\n25010 88858\n12047 93806\n8456 24690\n22560 50178\n19563 88305\n38589 60331\n62612 95276\n22982 93718\n8166 93003\n32963 38612\n64855 83758\n42456 43689\n7557 70932\n21552 92671\n12153 49305\n21082 98106\n4282 52335\n42630 64573\n40167 53945\n18005 23365\n5395 44435\n255 89599\n21456 86322\n56819 57841\n12684 83656\n31900 51332\n10847 83484\n1766 89502\n51232 63353\n32313 99017\n14690 83724\n5307 95999\n9495 55738\n12207 15336\n2607 26457\n20411 81154\n75924 92378\n21265 88109\n23450 35823\n40104 62238\n26156 73033\n79200 96849\n21196 61488\n37475 53008\n43994 60438\n39616 52302\n55938 66593\n3522 83483\n45255 59658\n14187 69373\n22783 86955\n89578 91633\n63887 75567\n51281 61163\n17114 35334\n5614 98021\n28209 85096\n10995 63923\n65234 89037\n6182 98544\n74658 85616\n66830 90539\n12059 21812\n21074 78135\n11932 36049\n27015 61277\n35901 80664\n59 26416\n7762 83737\n3216 27025\n44288 87651\n33629 48719\n25498 33249\n16989 69757\n21960 56290\n33639 52229\n77810 79741\n39091 74180\n22380 83020\n13159 43910\n21070 76979\n75152 94226\n65075 65464\n8099 63570\n30040 64070\n59437 92701\n76389 77347\n39938 41869\n18351 35710\n4230 12803\n12780 50218\n37127 78741\n31469 65404\n29412 42178\n24790 77995\n71081 87418\n48208 91912\n56545 82857\n51612 87714\n3624 6260\n24640 82502\n1230 40483\n57565 70603\n48736 73359\n628 5862\n79350 96596\n8959 32250\n37951 96281\n8979 10140\n76620 88493\n22618 85804\n27913 67047\n27237 83858\n71657 95496\n21275 81577\n7824 56284\n84236 95209\n64962 76049\n14681 46239\n3310 61470\n70 68268\n2358 96371\n37378 85948\n33223 38378\n41446 78456\n41036 62040\n17424 50882\n44121 82192\n16448 75269\n17247 84263\n52122 96807\n19653 41184\n76233 81168\n7420 77845\n21434 99282\n68040 86541\n29641 68550\n10942 96712\n898 43094\n8019 36013\n26076 39464\n12402 53400\n23276 57129\n28966 79077\n68449 94082\n4215 80409\n1929 99409\n51453 54684\n36186 68700\n24906 71231\n9600 58578\n23150 43992\n10272 93099\n24720 49945\n45032 88048\n1690 44394\n12673 76111\n40460 90188\n29704 38013\n5609 83873\n26588 37727\n6182 9906\n28665 41553\n83950 88191\n34685 83188\n18185 35258\n24387 29052\n73010 97806\n45247 82825\n30421 35695\n4792 34959\n76041 92826\n53727 94390\n33574 72361\n44575 45682\n19727 72786\n53426 94690\n17921 96772\n25425 88186\n8648 53522\n559 22022\n36622 79464\n6869 92190\n912 76717\n46970 61784\n850 45075\n1628 62455\n31443 39070\n91782 91876\n6275 23962\n98059 99921\n74 98436\n85590 94612\n13588 99530\n33052 38956\n11843 80615\n17378 73726\n9286 21330\n8524 87489\n41752 85352\n24443 84358\n20878 32772\n90313 94594\n45460 71950\n13532 49848\n680 73320\n12567 41313\n23886 60921\n8889 70885\n44750 60961\n19438 78414\n43002 61687\n20453 57968\n3562 5740\n21685 70259\n29612 75865\n88060 99243\n26442 63459\n8280 51092\n53117 56680\n33604 72056\n10184 50654\n57260 65070\n7971 93644\n37037 63712\n3831 56796\n63300 82040\n90613 93588\n21282 78680\n27667 70100\n30851 76060\n50446 74239\n5849 39797\n37262 53945\n57990 99071\n11464 39646\n36342 86235\n31346 68870\n2923 75045\n2582 51842\n10467 21905\n27323 75184\n63196 83022\n11164 64973\n32531 78455\n59353 69867\n86688 93747\n2522 61976\n33102 84250\n17687 35569\n38972 92459\n45105 92896\n19753 57508\n6774 43247\n72395 76766\n90233 96797\n1834 20753\n15554 63100\n29142 92992\n47654 83265\n1932 6466\n5110 94584\n15071 45664\n12050 19534\n45451 71320\n41475 90227\n48840 70212\n19562 51385\n37979 94364\n35423 76868\n7687 82287\n69381 96800\n52648 94991\n61547 89469\n30960 81659\n28078 31737\n30006 85378\n12230 87132\n30908 75098\n44718 93729\n18081 96768\n17376 90031\n42556 65337\n49067 80532\n23789 99706\n97506 99010\n11952 36954\n10601 65178\n51305 97703\n72388 76910\n69382 81989\n6132 24012\n41553 87517\n54352 89155\n17309 77913\n4756 77502\n5844 64379\n66097 79005\n57581 86487\n39246 43618\n23314 96775\n18800 28513\n82875 83018\n34024 46586\n52714 82291\n65507 95051\n40804 88275\n21936 71893\n41285 72875\n56230 60222\n5766 90860\n98842 99626\n28797 38164\n48038 58102\n22289 84198\n22824 78267\n22655 82794\n30882 69170\n74248 91512\n31644 38846\n89530 90140\n604 39429\n51454 52468\n70578 70588\n39845 72093\n25078 74194\n22864 37759\n27379 53930\n43805 62109\n4452 34866\n13742 47540\n72444 98142\n26430 89620\n16312 41961\n21137 31571\n27829 53180\n2165 62615\n36205 76719\n10766 52100\n30459 74404\n41990 42135\n73586 90068\n43507 93999\n35621 37535\n50788 97017\n21185 58714\n51917 65011\n1401 13696\n8665 81606\n18889 71601\n23098 35821\n11780 64953\n199 88535\n19658 42215\n74353 85334\n71872 98870\n67128 75047\n26898 85617\n30474 33174\n48614 98684\n9357 80951\n46297 67233\n26763 59543\n10155 76022\n4561 11383\n7236 20379\n5800 95649\n456 98697\n18974 39205\n61378 70618\n19669 28896\n12454 19338\n21634 62554\n41612 79593\n41997 82292\n48907 62284\n53463 75943\n12540 31649\n55849 60550\n9958 40395\n64166 89478\n13863 58626\n72388 81896\n21569 78672\n35803 85158\n2739 27492\n34785 68991\n2924 78871\n37990 98412\n32879 66358\n5500 54967\n48852 52883\n54931 65616\n47949 48150\n52992 76153\n39563 39915\n16709 69687\n15321 32720\n12189 24398\n74466 81640\n32263 47841\n46888 96410\n18704 22551\n22505 61842\n26140 80484\n7365 64803\n89623 98619\n29284 31748\n32072 74990\n2655 40672\n31607 95240\n15616 69201\n74197 98520\n69260 76880\n25034 69536\n9975 16602\n55826 89953\n52392 67584\n58525 67967\n11856 38588\n40054 92269\n33910 80129\n15149 35933\n46545 92627\n37035 43890\n8141 85116\n5767 94174\n6122 16688\n26173 28526\n37180 55827\n51588 68340\n69067 96463\n30196 50819\n27517 36765\n36106 56123\n87033 95823\n50273 58023\n1814 74827\n5480 59284\n53382 83574\n51457 75420\n7921 86945\n40875 52890\n43976 96636\n20235 65642\n51505 79301\n8274 31032\n52513 79810\n7488 58962\n41950 56676\n69234 77119\n65858 73117\n54189 72683\n14360 42483\n2898 57128\n29209 42916\n21656 77249\n37670 67951\n53037 80413\n56952 98747\n5126 7540\n42822 90570\n3131 44679\n50460 55481\n59205 86121\n13677 93804\n9554 90248\n25813 95187\n18151 50272\n58113 59975\n34379 85652\n31440 94240\n65916 73433\n38652 98696\n37799 85545\n6254 40093\n35553 92815\n60913 79462\n6678 14175\n21011 77161\n68248 77818\n49586 74673\n3260 56864\n17508 67938\n23224 41954\n22987 25240\n43820 91895\n9452 29687\n46794 67277\n47562 74952\n41159 91519\n32460 95748\n23801 45759\n33607 58906\n86770 89425\n34608 90832\n18436 38455\n14746 17225\n433 10855\n29756 43131\n66318 93910\n43952 74017\n59381 63979\n53134 93546\n20902 68207\n36575 49783\n45505 97549\n20918 23912\n35773 36507\n41490 91037\n19727 57122\n15202 38276\n9243 41701\n41611 66470\n21637 39407\n25977 91145\n8953 93306\n18890 62615\n19930 59508\n44423 71136\n32767 43303\n11732 29391\n61769 79393\n4946 87115\n37431 81556\n7868 28388\n61305 77690\n41549 91121\n10476 13633\n4058 23085\n21771 98053\n70068 73611\n52027 55340\n15981 93146\n48920 63157\n16156 27500\n180 83033\n41765 75433\n78922 81405\n38843 60901\n6660 42912\n41073 67568\n19386 94063\n6080 10908\n14746 75553\n25822 42743\n39518 97007\n79973 89366\n37804 41182\n42019 51913\n27910 66471\n31476 89822\n35157 38739\n32593 73189\n45818 98354\n25389 62608\n34375 60503\n7732 80525\n18067 44065\n79348 89206\n128 4760\n32887 56256\n14769 77012\n15708 73278\n16796 71941\n14572 56961\n27931 72700\n20166 83491\n23606 37781\n9321 29733\n11696 56105\n64712 98113\n45831 76679\n55931 60812\n23292 43611\n5625 23063\n8613 68644\n3823 77414\n25303 73447\n2000 2387\n22876 95911\n44082 47517\n23334 30662\n36245 76084\n67461 74722\n16318 97636\n694 59854\n39332 86528\n57659 72570\n55387 87808\n42348 48508\n29410 99899\n7166 45814\n1348 50873\n35874 55256\n32394 61996\n9487 91330\n22135 49115\n13558 99675\n52628 84828\n58481 72617\n2447 82786\n2818 19453\n31154 37154\n80626 80933\n61824 64944\n45858 48130\n20032 84834\n9806 27959\n50898 99652\n18901 97067\n2832 88374\n55699 75913\n51393 60980\n23156 58570\n35296 48051\n39381 85558\n29850 73969\n16868 19963\n18076 54662\n82614 99491\n22229 39811\n195 91139\n39123 81047\n41189 97342\n20951 52183\n59179 93186\n45496 65573\n10122 94144\n30918 55717\n62675 70846\n83713 97459\n8092 16366\n61569 63754\n65142 72839\n27917 31136\n22982 36484\n7295 29140\n20314 52609\n82356 88899\n49582 85184\n9314 58025\n7403 81565\n23813 70337\n48588 94946\n49297 74821\n1672 42741\n58925 82776\n19448 54177\n30918 90275\n18548 52152\n27314 72845\n70315 78638\n23113 84754\n16092 60575\n22956 51622\n6013 74986\n23600 96325\n46474 96117\n61825 67979\n66575 67566\n58363 92403\n30976 61905\n87194 94771\n27120 44168\n39686 41977\n48178 88005\n45413 81571\n35850 88281\n37513 82960\n40330 80837\n20049 45571\n15811 27489\n84974 95390\n9243 84271\n29785 68014\n11512 83056\n13515 72878\n52398 53019\n44932 52835\n82508 96282\n74935 77827\n17660 37743\n42712 86438\n3436 22564\n63284 71306\n13949 79964\n24209 59953\n62038 99006\n2135 81270\n19136 59317\n19847 47933\n2344 36576\n32815 95851\n55346 56058\n38672 50731\n56383 67490\n59545 62790\n35648 75568\n39032 53615\n57546 70798\n52191 53359\n29616 36241\n23288 65011\n5918 22105\n35649 66427\n67168 81318\n41149 85490\n57446 76684\n57313 82493\n17943 93197\n70308 82292\n52941 71396\n24888 48403\n1785 75039\n68112 86143\n31965 79564\n69342 84467\n42195 97767\n12291 93829\n2305 54341\n23166 29600\n28398 33140\n17823 20286\n14264 49754\n8062 20971\n43004 79237\n8952 46201\n41138 78693\n23398 90389\n71345 81095\n41448 61828\n68933 93454\n18495 83261\n39434 46396\n24293 88165\n20758 82232\n38709 77865\n9615 20931\n35472 50633\n33242 33376\n4198 51940\n48316 92805\n16685 68270\n36024 97233\n43110 53482\n1639 94538\n46710 60917\n15832 98406\n19664 73191\n24962 69791\n30711 48348\n75764 99546\n29486 93712\n1485 80397\n44114 75053\n10588 60685\n6075 74651\n64181 69975\n75184 97786\n28135 76520\n14089 29543\n20641 54465\n8290 50881\n26170 32105\n6 20482\n45864 66637\n51887 53200\n33672 40829\n79417 92699\n81056 85527\n31040 78356\n50906 55540\n32292 69907\n40778 46774\n39950 89841\n18023 91396\n14603 64736\n12974 73080\n28533 63629\n13525 14317\n45006 70769\n45937 95539\n40204 84585\n45381 85775\n24901 87763\n8821 22828\n394 60984\n13202 88511\n63583 90969\n36510 53372\n53189 97600\n24964 29548\n33722 90009\n8587 71716\n46059 89406\n48236 77710\n3681 84884\n29030 59485\n23267 86617\n38022 70314\n19356 87264\n55649 62129\n57845 76861\n25746 71526\n7168 24677\n17269 70409\n64539 99464\n36570 69924\n3644 15811\n85968 91698\n1482 32152\n14926 40048\n24789 92317\n26875 32850\n32303 44479\n71999 97653\n79799 80847\n18999 79118\n41553 58752\n21757 70054\n57115 85475\n5625 65336\n2066 87442\n45947 92524\n52926 77075\n21040 32902\n2872 55438\n23726 55049\n20445 50699\n26671 79598\n33204 53787\n9761 35645\n16884 34710\n21636 31394\n4474 25240\n19205 29171\n54996 70914\n50279 89927\n20025 45512\n15406 98990\n31386 70980\n20629 37025\n37901 93666\n34482 44967\n38487 98098\n35595 55166\n17006 23118\n13349 82620\n5052 20838\n69082 77540\n39370 44408\n17055 40589\n53907 92496\n20083 32277\n16096 48753\n32502 92942\n45738 87618\n1030 62965\n77334 91442\n31154 41187\n55483 72256\n71320 77003\n21555 75857\n11909 93019\n20994 27371\n36090 41478\n28580 33938\n29674 44898\n52585 86364\n21388 23681\n4549 63328\n31363 78859\n27472 76191\n7461 94675\n23301 81025\n3451 72096\n7284 24536\n21407 61455\n61468 91528\n22258 34170\n5576 45872\n37239 55585\n52114 76979\n10784 84702\n18857 42364\n78653 94740\n15948 28669\n113 15746\n8842 14889\n1477 39233\n57472 66695\n12261 56803\n40771 97361\n61993 62549\n46724 61656\n62004 81917\n41725 52186\n53264 71596\n58430 60109\n79525 86626\n6959 49269\n20518 51508\n60386 62378\n7147 84160\n45678 49676\n28120 49790\n83499 96746\n72769 88172\n62669 66961\n14632 18903\n36509 41220\n8211 42150\n32456 85559\n38959 85666\n61766 93933\n30894 69885\n23413 35621\n31301 97632\n44037 78266\n13045 74002\n5806 97162\n26526 69951\n32875 48786\n37288 50807\n62105 89821\n12413 17296\n13405 44889\n83238 89436\n14964 53517\n2708 23268\n47306 93964\n1311 79663\n31209 66848\n10430 58541\n72123 74337\n14308 83197\n58704 99003\n2005 14089\n23437 90268\n15456 52161\n7634 83044\n54560 89196\n25649 26235\n2871 28166\n61117 81905\n49111 97586\n55804 73366\n29565 75629\n43661 92856\n14264 35332\n92967 93400\n7746 9434\n59043 71603\n71399 73879\n12107 81931\n21386 78214\n32915 38024\n39432 63476\n3226 98427\n75347 94164\n6207 58627\n49691 70794\n6903 81453\n11023 15030\n81590 87022\n50530 55294\n79750 83893\n4706 81818\n26777 71479\n3980 85368\n31578 40746\n82378 98340\n3543 92705\n44338 89017\n29380 62326\n9075 71495\n13636 59623\n9710 14759\n37182 74574\n65835 73428\n20022 54466\n1060 17112\n5582 54966\n49869 86143\n3579 68191\n82744 86298\n23232 87362\n17065 31890\n61146 86145\n70174 73018\n49481 92612\n16019 85714\n33077 38539\n39441 90509\n38780 56946\n19162 78559\n36077 91510\n41618 69851\n56385 83949\n5474 59548\n29232 54269\n62752 80461\n61246 75521\n82565 85520\n9863 56435\n65667 79744\n3800 43868\n45071 98722\n85369 98084\n9395 59653\n29412 60199\n13049 54038\n9127 55627\n49127 82266\n31842 87590\n41032 43735\n13546 87401\n94701 95594\n50642 81995\n46410 55342\n805 66999\n44096 65955\n21642 87526\n25261 83486\n29060 56288\n7465 10466\n22857 58490\n21353 85152\n41099 44908\n15610 27624\n47809 85011\n17210 94778\n10663 86277\n50316 84447\n52067 88839\n24428 54597\n8697 93808\n67760 80917\n17318 84322\n40907 76326\n44177 78066\n50572 93765\n37803 39173\n24476 67051\n17137 90627\n11828 71572\n3849 37705\n10226 34179\n33594 55285\n58971 81852\n57884 82940\n6115 23438\n28736 83230\n2559 29616\n36230 80116\n82477 93502\n9102 98623\n14825 96079\n21666 95306\n6564 40878\n20805 67242\n11889 67957\n37401 59098\n4760 32355\n79443 85108\n43718 83391\n28949 93470\n29800 76170\n29856 76401\n22246 60540\n5165 29639\n2884 26873\n93483 97861\n47049 49867\n31312 84450\n22507 75458\n62578 68046\n77915 83462\n28169 68136\n5694 89939\n46048 71644\n15646 42120\n14922 72028\n41320 57656\n50831 77482\n55755 59787\n65730 71826\n29367 80383\n41421 92321\n60544 72275\n42178 87942\n57257 88288\n28014 76664\n58704 68657\n9091 96573\n35987 58383\n23384 58787\n13785 84533\n23987 70299\n97186 99944\n55104 87551\n47570 77559\n13271 27753\n10856 18729\n13107 19886\n39962 97001\n15799 84023\n14275 18663\n55118 89181\n42189 59692\n2353 87243\n18465 33863\n57835 96024\n30306 80609\n10162 88600\n34564 63999\n47422 99483\n44785 77661\n2826 69209\n29357 38682\n33930 95450\n43327 67241\n62980 64517\n63407 79572\n44894 83227\n21134 59247\n35666 68436\n85180 86612\n79835 98442\n13296 40122\n15057 94240\n28860 68721\n2376 49646\n12244 79516\n28835 92436\n61107 74695\n26692 71874\n42288 91734\n50149 98322\n60377 73985\n85519 87733\n38784 91680\n32477 75995\n20619 31452\n11049 26313\n34076 97926\n32944 90046\n26010 52631\n57757 93002\n8333 65664\n9776 46906\n37165 83547\n6890 28448\n44100 68166\n31112 50135\n488 21607\n18448 39367\n65070 84252\n21244 74088\n47913 98675\n27755 63795\n62453 75928\n14723 83478\n97286 98755\n44220 86264\n31305 98458\n17775 21037\n57433 83795\n1298 65383\n27496 87903\n13309 23235\n40834 61908\n2790 61412\n41540 92095\n79582 96267\n38213 71149\n26198 84066\n10958 33081\n47133 80501\n7887 37511\n31634 69638\n18545 33572\n28213 98994\n24694 67613\n8022 54573\n11971 53335\n23645 37977\n8311 67696\n19229 25037\n4559 69844\n44527 71539\n29962 72413\n11977 58450\n10947 40057\n19291 86579\n18199 76967\n79392 89328\n7049 13427\n59943 94036\n54267 64956\n42247 53306\n33880 89943\n47127 79517\n9258 99558\n32428 65483\n71260 96818\n46471 60556\n48478 57936\n27082 52506\n26328 35179\n41323 68203\n8224 25050\n17379 28837\n25000 86370\n31191 68698\n60540 67253\n29362 97930\n29952 50563\n14454 39639\n46504 59341\n70006 86300\n12707 32650\n3011 56521\n67804 81956\n47556 60926\n18534 43919\n51925 96425\n20058 90634\n57443 77926\n2284 3476\n77873 83870\n32696 59740\n84812 84899\n16484 48798\n60395 64465\n51837 96509\n41121 89268\n12860 56769\n92917 93401\n63126 94232\n56182 83934\n7187 64228\n33493 81167\n11244 11853\n41271 99706\n72971 98969\n20711 86726\n13538 48287\n51681 83976\n2600 91461\n31655 92870\n23622 29899\n9168 90699\n26548 95056\n1124 37602\n17018 30692\n49124 96159\n7809 26354\n9301 71790\n25147 78457\n29042 87560\n43658 74297\n77854 96163\n6172 74453\n12204 30174\n4052 33280\n44852 96988\n59773 86969\n46794 86693\n836 49817\n48846 69564\n15737 50001\n47368 64043\n19672 51614\n17516 55532\n10149 88985\n3582 74470\n9683 85874\n13300 14281\n39167 95152\n66113 92506\n51336 91434\n52812 95743\n49752 80780\n23667 70245\n26462 35599\n87969 90350\n24355 71590\n37283 82774\n61876 97661\n20016 56604\n28906 72380\n19596 87999\n38175 84139\n19660 75051\n13 7075\n18213 26266\n35629 90795\n4147 19472\n21236 93304\n2738 30590\n75781 79558\n52140 86525\n5367 86706\n72922 88009\n29921 69419\n1802 98784\n80245 85268\n56477 91195\n14236 74610\n44820 70580\n32408 50102\n35840 60878\n3749 86313\n22952 93431\n25471 87211\n6178 84227\n51185 99254\n37623 53473\n55407 70859\n4712 27408\n24933 89718\n30170 56401\n7640 53044\n50817 81585\n22198 49914\n5067 17185\n29364 65618\n57200 80541\n68797 80814\n7142 61335\n27823 46156\n65196 65399\n27226 63067\n4868 33852\n25467 80167\n26297 73672\n52792 67023\n82975 95905\n4497 96627\n73618 79123\n70292 93216\n74445 94852\n7210 87150\n51168 67758\n5787 51999\n61177 90135\n21644 86819\n43271 80144\n34235 58668\n28800 53394\n63116 78147\n3492 33898\n14575 39395\n37173 52919\n23720 56017\n36532 87581\n19559 96864\n48536 92976\n49975 99712\n9946 19087\n55529 59998\n11100 78299\n61958 68831\n48305 79532\n74196 92419\n11505 82641\n13559 96270\n64927 92318\n2334 93877\n25907 49403\n8046 88292\n21302 56597\n2060 70140\n5017 67551\n264 2937\n48950 86109\n12121 23404\n14035 95982\n6460 40359\n23162 59432\n2096 27074\n6962 83189\n47510 80505\n150 44174\n11536 43665\n2568 37782\n29178 42796\n40222 79947\n9715 23986\n8192 20968\n32056 47946\n21813 58096\n25811 99292\n14295 78389\n87952 92848\n12603 65926\n6492 15274\n39473 48353\n40064 70413\n74205 99537\n34550 74980\n44896 76867\n64441 67314\n85081 89879\n85035 96602\n89398 96097\n27060 28978\n33015 33136\n38906 42951\n45089 93887\n75933 80220\n19779 91008\n4020 18976\n34739 81438\n36755 99693\n7556 12016\n47577 62088\n5273 92992\n68603 97092\n32509 75614\n26454 81192\n10917 57974\n79157 90020\n52702 81218\n3176 59846\n22412 82929\n18846 66301\n66314 92592\n27161 33071\n21223 34493\n2203 12961\n53834 89554\n23255 70784\n73703 76995\n4959 17090\n5259 48907\n52186 94147\n29231 82078\n12843 28646\n6343 8145\n26090 51968\n7559 51911\n46953 99268\n5578 51990\n26338 79309\n18987 81882\n52831 68782\n62748 94812\n28793 82256\n2476 68005\n25144 37003\n7292 97733\n40069 51644\n33159 61930\n13742 94714\n7518 83030\n44739 62935\n51126 52398\n43640 62636\n8028 39827\n12072 75540\n50397 52777\n39964 54177\n9996 43888\n24529 49768\n3327 87032\n923 60706\n9626 29698\n11060 93214\n5080 84126\n16787 41296\n44531 77587\n1404 76839\n28083 28551\n1820 91464\n10070 27182\n56395 72768\n17756 49248\n6507 38336\n9195 12861\n84780 86392\n52902 87286\n15273 96569\n16692 88464\n20366 71732\n8573 19455\n62778 96534\n12686 46180\n9235 91740\n18941 53997\n71776 97734\n21621 81395\n29021 93350\n24224 45045\n29710 41524\n6922 88255\n13382 73782\n54296 83726\n73616 88026\n61137 87801\n54449 77403\n32263 85090\n25678 52399\n49793 55285\n29385 43652\n8276 53191\n29601 95727\n7804 8496\n34045 63994\n20390 44935\n26612 93103\n41805 80096\n15024 46809\n73576 78507\n17918 72680\n20121 47574\n2157 52618\n23015 91455\n79691 95696\n42455 76734\n17563 53943\n25372 89607\n4965 15414\n9172 28683\n7671 29578\n38677 79964\n8842 20825\n47127 55188\n31957 61641\n22429 67526\n32831 87434\n59680 75901\n29327 57573\n80562 82057\n2799 31269\n45246 59910\n14042 86788\n29142 87799\n12215 82211\n19999 97299\n42899 46837\n40848 75074\n13030 74929\n55726 67260\n13714 98455\n16397 97924\n44393 90140\n58696 64176\n48852 96855\n23335 51188\n20814 91568\n23658 42525\n88 54670\n14175 62378\n14086 22654\n15157 63451\n50436 55695\n54928 61793\n23377 38478\n11598 46713\n17306 96561\n66629 90847\n55676 99030\n56847 86068\n31684 94683\n22487 62755\n51023 79929\n73044 89668\n56900 87380\n45783 77030\n32084 77097\n3851 17065\n53150 80130\n34567 64565\n24319 76005\n62969 99156\n4398 97285\n50987 70000\n12091 73995\n28639 40436\n70723 70865\n34030 78394\n34628 97635\n83000 88876\n64297 76355\n22884 45644\n4472 76574\n1101 34848\n21070 64812\n11758 84888\n11581 18005\n6738 22856\n18310 46696\n2830 77629\n38910 43622\n7142 89261\n29572 74099\n32336 95643\n31450 43252\n16734 20950\n54262 71451\n16392 85446\n51168 78654\n46344 80715\n13826 56455\n13973 16289\n14996 28675\n52961 63510\n20291 77935\n85745 87598\n27291 71406\n5247 49760\n82873 97059\n3183 53675\n1457 89077\n4850 44402\n8153 34128\n44610 51236\n22249 91470\n48216 80378\n41725 97632\n37428 42968\n12321 18621\n5123 44851\n52714 63119\n68653 87660\n3114 98449\n2300 41986\n29309 66886\n18281 99506\n46988 51574\n13676 59066\n43821 58909\n32149 84861\n34025 58184\n60915 88120\n18560 46334\n14955 83639\n60077 61022\n13309 66238\n69891 95755\n38535 61184\n14222 45319\n3851 18178\n51320 51462\n2492 71614\n3361 90552\n6476 78845\n3963 10893\n10885 96478\n22757 84725\n80456 98905\n5761 34159\n38129 53755\n44243 51671\n16914 20445\n58747 91393\n57902 95004\n5251 27960\n15756 51797\n53734 65687\n25286 89088\n69012 85190\n53925 76418\n21500 41222\n22905 25100\n56644 80625\n23537 87394\n33419 87715\n55064 70179\n23858 62824\n50762 72042\n48749 94712\n479 92155\n21746 26651\n10037 87281\n18694 75851\n4005 98178\n70731 81439\n45437 90391\n69271 75523\n21481 66046\n24204 56110\n69966 73995\n89121 90343\n68030 97715\n70921 88208\n49679 73388\n18900 45177\n1089 77635\n54392 92096\n19588 54236\n54679 89573\n625 59134\n29014 92663\n31170 94357\n31643 45420\n24174 46643\n561 85785\n27341 28862\n34423 56033\n31267 70029\n7921 93967\n24777 60983\n7284 13736\n8475 70855\n6851 41464\n22576 32358\n18894 59906\n70388 94732\n58004 98789\n24813 89378\n68150 76199\n35260 81338\n42349 93769\n48504 63578\n19118 99984\n16762 62287\n15711 53756\n41325 65239\n2569 18024\n38009 47784\n26746 81928\n6276 66747\n46647 91581\n5004 11032\n15684 48870\n28124 96304\n19791 66326\n26229 58750\n51014 75697\n13433 34544\n32512 65516\n9852 30390\n7906 79533\n51595 95659\n64295 81385\n13858 35491\n24089 67025\n44235 74102\n86012 94514\n10138 77444\n11581 42011\n5864 88353\n52025 75245\n39822 94951\n4314 89156\n2831 68416\n5757 18663\n54368 55231\n57160 82490\n5995 93266\n55852 70300\n15466 21759\n85749 94600\n48400 71434\n17087 25934\n38940 91305\n58838 84244\n44300 80147\n2627 24535\n7954 84575\n6771 54779\n68555 72055\n21080 49616\n86668 89007\n12410 61646\n39886 60173\n10264 15208\n77920 81603\n15389 95208\n7874 69838\n44294 61893\n16845 37721\n9605 33466\n16879 91215\n86849 97256\n29070 45915\n53435 97666\n55852 89848\n13161 32384\n50334 60950\n34790 40049\n4087 77825\n39444 53790\n52053 91052\n63254 95662\n44434 63545\n25425 63458\n3581 63597\n39019 69166\n26391 30436\n51001 86942\n60464 98585\n36067 62464\n45109 94994\n76412 78412\n19647 32427\n27841 96088\n7275 34917\n7869 84576\n53500 88233\n11789 17216\n2349 96539\n20546 68791\n12317 22124\n32984 46163\n39445 57328\n18527 65022\n3306 6213\n88241 90057\n23695 84053\n33851 70370\n3247 69723\n4565 97976\n64690 79023\n24234 28705\n70178 84520\n20505 31247\n50298 96184\n8816 93725\n2145 52488\n11966 54758\n63637 91502\n1615 94422\n11024 62626\n45501 71937\n11414 50993\n63124 88032\n3613 6100\n44485 82380\n3211 45296\n23100 87148\n3566 12348\n50033 97457\n12678 46849\n29098 69494\n10538 44894\n2433 3666\n35114 60749\n77659 87767\n67775 73150\n71023 78183\n44060 54892\n22574 98638\n37417 60873\n3849 69770\n20932 95993\n26138 33945\n80508 92983\n30075 73427\n57511 78568\n7625 86273\n43013 68321\n20412 28682\n8072 74263\n1319 74069\n18656 38264\n243 19748\n41257 79010\n37338 51383\n4543 86464\n24253 59041\n81023 87162\n90141 96502\n12906 16152\n574 25262\n2653 74537\n15117 52363\n37993 38739\n58243 81022\n19270 81798\n8032 17465\n2660 54856\n50801 73274\n64012 80597\n27692 44945\n11836 13645\n37562 99471\n49453 53221\n70078 84788\n51883 71727\n29243 35936\n13110 27924\n7444 22848\n57922 61409\n18051 61403\n34199 84839\n4058 22300\n40730 58265\n77619 81705\n43420 61973\n23437 86471\n9100 12689\n55651 77742\n43421 80858\n29684 30409\n17120 45094\n35082 42868\n48081 69341\n53778 65560\n10217 12209\n7033 16850\n29201 48394\n44662 53334\n15716 50390\n49459 52976\n20472 72766\n40781 94482\n66039 83427\n21697 66302\n11959 83118\n50921 54856\n65360 85445\n17478 26174\n17357 40814\n32328 96638\n29381 36232\n10889 84248\n39325 77470\n59999 65134\n57577 99656\n80168 88505\n36688 83057\n17133 19214\n87496 91098\n42371 94184\n55941 65235\n68356 98113\n53509 61939\n46417 97123\n53497 86986\n16912 91627\n4122 68279\n14835 72203\n53520 80305\n37758 76675\n13404 62385\n10675 92504\n70929 98514\n75439 97553\n85587 97471\n38148 96851\n79819 95179\n7757 94241\n12827 48333\n71100 74506\n30360 97675\n37846 47143\n10445 95894\n72958 76460\n8301 15582\n12660 65551\n88591 89065\n9851 86396\n57193 74459\n5293 82824\n12790 41553\n73998 80611\n48989 72341\n36583 54052\n38642 83666\n24877 64651\n13169 22129\n65769 68550\n32553 81344\n53456 75326\n25869 98630\n28373 67870\n49098 69182\n71787 79643\n42669 51686\n23639 77337\n20789 74948\n6962 70828\n55282 85869\n60830 79104\n51800 91073\n9750 74612\n16034 80652\n22450 74997\n17714 84214\n20853 93769\n45124 69224\n37048 42627\n12867 84806\n76934 93553\n39132 69786\n72778 80720\n66472 66531\n13810 23990\n10838 61553\n1627 3566\n30485 61595\n28731 81525\n19648 32355\n81035 81989\n18801 32455\n9102 74888\n4497 63660\n18141 37887\n58056 83875\n62959 98777\n29883 66664\n60026 66649\n21678 80464\n28804 51128\n1387 38689\n34656 78067\n26445 46123\n86249 86564\n44296 48624\n3072 95030\n34017 81395\n20564 68863\n24937 76607\n71417 95277\n48080 83680\n57137 90517\n23997 55721\n66645 86292\n65798 78040\n46214 63406\n67872 95507\n15177 88363\n46235 58217\n497 52417\n7868 55934\n31541 82179\n15243 28615\n21846 60138\n20197 67102\n75258 97678\n52005 87213\n8646 92724\n23777 69718\n15665 66726\n39116 40638\n68383 77784\n53756 53870\n16764 84032\n1133 83122\n73833 77410\n37496 97967\n5307 68829\n33524 84821\n56436 69878\n51450 58353\n22811 36302\n37391 81778\n26588 33009\n76502 89664\n35563 95810\n48135 78838\n27313 31823\n11323 76115\n36620 72476\n48780 87814\n89286 92851\n5331 61242\n27084 69939\n18200 46014\n42251 57002\n1946 25643\n78581 92026\n71215 77768\n18791 78406\n71749 95147\n13559 96908\n37388 51330\n32405 96708\n32458 54775\n6530 61138\n29590 61417\n51727 72005\n17284 61658\n3477 94735\n17076 61728\n20135 70944\n68935 84037\n12162 17769\n34366 54460\n47902 65697\n21733 85675\n47097 78851\n16891 75354\n45497 77766\n8662 41040\n13842 89085\n31035 52104\n1050 60506\n5301 56737\n69710 77316\n28903 37155\n1633 20176\n229 44066\n47201 98343\n8163 13773\n19227 60325\n69692 73811\n50054 69123\n70218 74407\n30699 90945\n5437 31406\n24048 55417\n44388 73595\n66636 86796\n73411 97964\n83887 87957\n11147 56726\n30055 82624\n53030 57473\n23591 37191\n17752 20486\n1919 33759\n31618 65046\n45680 95869\n29263 48841\n70132 83969\n3278 31500\n77984 95897\n21235 64119\n29626 90739\n89201 89995\n38709 43063\n45178 72742\n25954 63506\n75544 96948\n960 18885\n3599 8833\n6087 98201\n45316 58772\n64131 80267\n9825 21749\n26436 32101\n34159 56893\n53295 84967\n47417 66221\n18820 27004\n30579 89039\n5278 23492\n53117 83362\n17920 44933\n59693 88911\n34993 58488\n18097 98377\n22239 47515\n37699 73716\n12459 27382\n55370 71200\n71271 91949\n9222 20596\n45580 53870\n51991 84173\n31699 85001\n47857 80357\n23946 83408\n2671 14616\n20160 62368\n16677 66438\n15740 17223\n14623 38128\n51008 93236\n25984 83514\n36798 49383\n36 48058\n30612 46833\n16298 58908\n18667 56081\n47545 89349\n29423 42416\n58334 89979\n4125 62649\n61470 82154\n3470 4280\n7617 61139\n57088 64692\n52965 65523\n69216 76989\n8442 97383\n17160 68960\n17658 61174\n39873 88570\n53592 59539\n5918 82446\n18 62388\n12895 79446\n969 51008\n70974 92929\n9620 70339\n4580 64097\n665 35959\n17332 25376\n17729 44181\n51950 79722\n3079 54578\n1712 15704\n69270 84088\n77033 82842\n6184 53581\n9767 38884\n25497 92959\n33977 87431\n58139 90707\n22143 72860\n19808 71402\n78661 91512\n1181 37231\n45165 84994\n50062 91878\n65885 66038\n12724 41489\n26196 50907\n543 27166\n35078 40839\n5753 53492\n48572 98170\n16763 74041\n66867 91185\n51092 56552\n1581 32230\n26118 37318\n45660 76746\n748 32590\n30781 31559\n21947 87501\n19881 82782\n18654 39830\n61955 66437\n39187 81526\n41395 81275\n81429 88007\n34542 80953\n14825 34220\n55564 67388\n69101 72278\n5311 32554\n47528 87957\n29940 54978\n17643 48641\n3153 32136\n32708 62920\n22521 63170\n11787 60755\n35241 44900\n19183 25761\n14720 74042\n89826 99618\n51418 71349\n1579 93454\n23163 54478\n37058 90008\n85204 95625\n46189 50263\n59332 97797\n20974 34635\n76644 78431\n44287 65387\n58241 59704\n24478 45461\n27719 76123\n19702 33294\n18491 59251\n48746 73939\n2137 97141\n47040 60941\n27481 76144\n51606 72335\n59414 77795\n597 33797\n32055 55268\n1736 37845\n33488 34937\n75869 99099\n5203 48741\n3404 31310\n55009 73623\n21446 27834\n5253 31070\n10487 16050\n77805 83536\n32169 92374\n64971 70084\n72586 99090\n11161 95867\n29413 59955\n19274 48042\n19819 52481\n1870 24384\n24305 43881\n30288 55294\n15388 73367\n3488 71933\n17301 29405\n33779 40263\n62242 87194\n15800 43490\n8785 9348\n53473 86680\n83373 96665\n1395 37748\n39198 62127\n35097 71117\n7013 45437\n7704 90831\n65105 78792\n24813 39405\n7005 11003\n4301 52844\n20680 80406\n64852 74849\n485 24492\n3073 68309\n18904 71385\n19970 50054\n42879 62154\n6758 31206\n48269 77394\n42970 81356\n71388 98330\n54915 58114\n45145 71242\n83696 91625\n27080 38907\n2507 20761\n50640 81800\n14356 28060\n6946 68762\n14908 94429\n4729 79331\n52579 87668\n6482 25234\n64392 66226\n22583 83858\n34499 95784\n2332 29927\n39705 65627\n21207 99718\n40538 72346\n78886 84012\n25077 78241\n72447 90458\n3747 42134\n66357 70398\n32797 36397\n3191 50940\n81335 84202\n5646 37313\n32497 61041\n24668 68603\n34811 85144\n11590 22500\n32519 76239\n7934 35090\n11299 97782\n47830 94218\n4107 23269\n28957 74304\n15937 57768\n35513 50894\n40676 94346\n8902 16450\n56169 86712\n19488 52774\n62193 74311\n10147 84308\n26255 49994\n21175 83264\n48122 97856\n15787 87141\n46308 90154\n20862 85801\n73353 91379\n11417 63645\n9 29559\n23147 77171\n25057 36577\n45516 75525\n9201 52750\n44035 59752\n37508 88828\n6675 86872\n29630 84444\n61331 96928\n41923 64916\n16602 38911\n33200 48042\n22087 22701\n9371 42567\n50714 72228\n39844 93185\n4782 79771\n49621 53294\n65110 71772\n68216 81230\n13428 27163\n39859 57773\n3639 81007\n16155 62323\n13474 64916\n30184 78256\n2855 71054\n2109 33515\n30326 99301\n87101 95680\n4420 76214\n7433 27902\n7330 15979\n37791 95250\n56405 78742\n6145 48984\n4514 48973\n35594 87645\n35453 77911\n58064 95487\n3501 23750\n53564 71250\n82018 92396\n43572 70490\n12794 13390\n29728 99320\n32558 42232\n16030 45415\n15188 34860\n25267 90945\n39185 73787\n16161 80076\n32584 82049\n49982 78645\n21461 50424\n50738 97365\n5832 99928\n8520 50249\n1280 15957\n15150 81708\n6626 77378\n91191 99035\n30642 95576\n4469 92681\n68801 94558\n41054 64962\n9402 67940\n3829 72582\n3691 8699\n40404 68551\n98 67755\n88324 91559\n7382 18746\n80726 87964\n51531 69736\n19031 78717\n51052 71234\n22619 94690\n84394 87917\n6328 67634\n40731 85400\n60718 61408\n28453 58344\n64165 94777\n54244 70844\n10792 94523\n54641 72187\n16592 67406\n29453 67684\n23738 28825\n60517 65904\n38338 75828\n20578 47930\n13423 81806\n30642 54161\n6994 74333\n75222 97856\n7572 10375\n77474 86924\n26828 81974\n76813 85972\n53786 56354\n38351 86262\n3020 43653\n34943 64428\n4720 97944\n11967 70880\n23711 99122\n1970 82200\n46795 83799\n18306 85927\n9352 38348\n59678 83816\n64668 85849\n3316 81394\n11239 51122\n49037 61794\n73289 78359\n28513 81819\n66205 83403\n41432 79252\n89202 96747\n3469 9010\n3297 90375\n59183 87671\n72768 96622\n74814 99382\n2387 47173\n34748 82435\n3553 81002\n10909 35153\n23573 26130\n63955 93273\n36451 88321\n19016 20679\n5462 99360\n49587 68043\n56740 79475\n31837 70356\n6455 70338\n6487 47814\n21247 85848\n1865 56529\n40883 86684\n15640 60403\n54314 78891\n20192 62364\n39079 74089\n53255 79336\n35245 72649\n44915 92061\n5325 51754\n35515 35682\n72447 85228\n5771 90655\n23204 90353\n11685 50109\n20338 31229\n21629 43954\n60632 65569\n1841 82081\n9257 52944\n45533 74646\n42306 91175\n35730 95861\n89284 90233\n1557 26924\n16288 32257\n55120 85233\n23739 58054\n8114 74692\n34049 64211\n6416 27191\n68445 96079\n55795 69475\n38681 44094\n15767 71657\n20877 51593\n8346 71468\n79731 85350\n7577 42750\n55375 83198\n39468 62326\n55995 84515\n83859 90406\n23939 87349\n38265 72966\n42392 71410\n39609 49714\n58404 90776\n38140 63890\n71127 91124\n33575 50362\n17868 25746\n2338 7653\n45517 57672\n9657 75008\n25046 35283\n37557 95278\n48522 75158\n9115 94366\n22602 60714\n28995 98650\n14936 43750\n2875 12942\n5386 88208\n6679 22004\n8951 49613\n678 52469\n82811 96820\n34518 77583\n61772 75418\n46771 90661\n33837 90277\n32986 41125\n8967 98781\n29181 69378\n44790 82574\n37083 90075\n24485 34614\n5969 74371\n6191 25597\n2198 59945\n24990 99800\n31461 58189\n17950 97518\n64770 89818\n40638 71823\n45815 47521\n2723 69120\n7707 99323\n68586 97000\n15131 59181\n22233 88930\n18742 65035\n2222 14245\n85014 93299\n9928 31114\n331 92844\n2639 77981\n16264 92413\n23253 40667\n36059 61021\n27251 83929\n3355 45486\n21694 41874\n13023 38569\n56143 61224\n53226 94752\n45460 61246\n10064 26960\n9625 26454\n24994 62777\n35904 91614\n56034 94359\n5650 57692\n14400 69523\n10494 47895\n58638 65057\n7976 69216\n52777 74319\n3459 30490\n34282 86196\n61089 68942\n45314 92998\n10403 98494\n27860 40799\n69948 77888\n9728 10172\n8712 65452\n74695 80517\n852 83938\n35827 58294\n51360 57579\n5020 6985\n80131 86636\n11419 19324\n13842 71943\n51802 82664\n21803 38067\n3431 21965\n4785 95743\n93450 95815\n18825 84502\n4616 28858\n18370 62599\n3835 44243\n61535 81395\n52274 56406\n45633 86982\n27132 51745\n4407 18316\n75822 91926\n49036 71815\n23885 43368\n24698 98629\n68608 69708\n6293 8262\n15997 88554\n32101 33359\n16268 75106\n5069 80977\n38219 78961\n12665 83972\n34396 50100\n13894 99607\n24088 64021\n7795 31085\n28850 61983\n80247 97093\n18352 69976\n51781 78065\n52309 70218\n44448 74942\n697 65653\n12328 28725\n50214 68775\n5257 65842\n41988 61732\n26524 40908\n43330 63366\n87228 99906\n29041 53371\n440 96368\n27592 44768\n68822 82677\n10832 34665\n32705 50145\n3050 28191\n4615 25905\n2708 29036\n67640 90404\n35205 70139\n68129 70689\n20851 77553\n22795 73547\n3240 96786\n38193 62912\n30002 52701\n74224 91742\n74223 78346\n5904 11299\n60828 62014\n21299 57612\n40970 45360\n85232 91037\n61097 83186\n25925 42139\n35773 61283\n5238 94337\n13478 43505\n6199 10224\n43313 99300\n42533 71910\n46775 97904\n92772 96859\n67761 85068\n18862 86495\n23970 74635\n81063 93351\n833 63266\n21588 75621\n51867 56010\n72121 74532\n16095 32396\n22487 38441\n12901 87785\n36812 72954\n9352 94046\n38114 86589\n43222 58490\n8189 55698\n81955 91650\n3243 65042\n31215 99344\n18956 85316\n13828 53736\n39495 77817\n70842 73080\n42959 93424\n16646 86529\n60975 92526\n88032 97250\n3226 74497\n27757 69728\n51823 84740\n11996 69466\n14736 97294\n47956 48330\n35912 48748\n2690 36639\n8189 27250\n2093 69246\n48647 97855\n61181 92560\n27064 86095\n73912 82250\n35873 62800\n44496 83324\n45465 62217\n56234 94651\n44519 80483\n8382 67431\n29013 42050\n40729 56981\n9969 91657\n37233 85182\n9667 78413\n30061 69752\n14356 40128\n44390 71609\n21009 27952\n48460 88461\n61232 79297\n24883 96772\n13209 82561\n24771 82446\n46931 51192\n35598 63800\n48950 55668\n67143 83112\n13714 69777\n37270 47977\n55165 88780\n44592 81856\n2517 8033\n754 99052\n18792 52418\n8160 53271\n23469 83233\n13639 41707\n15245 85882\n33907 48145\n30542 67771\n23067 48668\n37862 44394\n41134 43560\n9371 80558\n3208 45182\n541 65026\n61996 69147\n11005 39711\n4128 56069\n65304 84603\n80056 92133\n58232 85433\n6829 96280\n70448 93751\n83451 98892\n70464 85329\n7817 31516\n50418 64554\n21105 70087\n43510 46430\n72460 99240\n58914 60530\n2290 27333\n28926 45977\n13338 67095\n59791 84320\n50830 99067\n43627 60836\n33704 82700\n1546 85531\n21054 55676\n47665 92682\n15983 59863\n14348 15865\n461 25120\n41946 97086\n13432 34033\n32236 39697\n27719 58519\n3612 91619\n2244 81476\n51508 84805\n23652 39787\n22675 86965\n747 53142\n7881 79739\n34275 98503\n34114 55423\n22469 43212\n91173 95324\n70416 91252\n76203 95493\n67125 76591\n67214 71525\n13928 32151\n41983 51279\n76363 97106\n18435 22358\n66411 90395\n3564 6717\n7678 89388\n17898 52525\n75759 93405\n6313 85895\n74629 98533\n22107 29192\n30256 54578\n23228 52306\n2971 47993\n22626 52867\n41460 61620\n10112 62257\n39602 92426\n16886 30890\n37651 54208\n70165 89840\n43782 62684\n22060 27640\n12741 46643\n28130 57327\n31178 96762\n22902 79611\n68122 98810\n28147 70939\n22938 87375\n9172 81733\n18008 60752\n52484 99629\n10492 32770\n50086 82194\n10678 17852\n11140 57196\n1726 24304\n6723 74015\n38592 97809\n551 79748\n12983 85293\n54488 89130\n88708 89843\n489 73024\n29044 80614\n23393 68102\n68926 69793\n19048 30666\n36581 81917\n31764 74450\n60477 60947\n28090 32461\n6769 83997\n52135 87390\n20334 55727\n9062 15344\n78439 97520\n66697 88676\n44014 60472\n75805 96952\n24617 82986\n21211 37518\n49663 76740\n93440 98111\n12962 82317\n61291 71870\n71071 72228\n1814 58421\n12057 18667\n1631 75192\n768 35107\n22796 32070\n23529 87125\n32745 39079\n12396 34413\n43693 65643\n14144 19623\n64456 74378\n56789 80412\n60341 97308\n18205 45234\n82171 87224\n28859 59922\n6546 57058\n5060 80410\n60815 88591\n77919 97122\n18361 84735\n9572 23246\n40311 64795\n34211 39496\n76052 78380\n21442 38670\n41951 74357\n20898 21616\n22097 80976\n25455 75347\n29796 67400\n33572 79248\n15739 28023\n26980 68693\n12280 56612\n54605 77008\n3001 75396\n34526 62098\n73231 85068\n42892 88312\n37644 79459\n38692 61330\n2277 94286\n82122 98407\n55064 74959\n3955 84057\n8854 59663\n21577 31032\n46003 93107\n11532 29999\n15299 58537\n2479 83101\n41928 61968\n14425 66800\n72956 81399\n16437 45150\n3756 66625\n595 75648\n54848 67280\n22901 35230\n72484 74881\n23597 64473\n14741 24754\n18029 83804\n26797 30265\n19476 41237\n17345 82795\n32500 95574\n57253 77808\n72023 73407\n9328 17428\n15022 26060\n80848 93882\n43594 70102\n24404 42855\n50892 53004\n3375 68837\n51795 92192\n23866 79503\n31591 62109\n37908 68126\n604 65822\n56524 88710\n83166 88129\n7326 43908\n22488 50968\n43371 68044\n26801 75168\n24210 31203\n94406 95365\n66730 71869\n34432 60132\n18784 69116\n67818 69447\n53783 98631\n50648 83967\n24275 89804\n5484 87440\n15225 91568\n6033 66123\n80512 89610\n83392 87611\n1100 98263\n87651 91204\n4236 95470\n71894 91957\n42068 88409\n67791 81827\n60019 69588\n12630 68443\n72094 82723\n33968 71741\n23302 47326\n12787 26801\n55458 71990\n19324 55591\n34824 48031\n12159 93726\n13205 16555\n33548 55764\n21356 62671\n59117 75144\n52527 88778\n27541 79729\n46128 91152\n21117 36767\n67620 82259\n12539 15476\n76425 95130\n44700 96326\n18405 71226\n5851 43042\n46916 62074\n8660 86708\n47245 92883\n55322 60807\n52500 87421\n1672 58416\n44078 67756\n20590 63804\n66348 79657\n843 42017\n4110 8344\n23778 60981\n43165 50791\n10473 34374\n22803 37339\n16539 75797\n341 55518\n7994 65281\n1180 72230\n28551 94792\n6921 6984\n32783 69587\n31921 35136\n1213 18411\n24541 93688\n55298 93413\n57481 96954\n71100 93026\n55703 74840\n51273 60243\n4384 18866\n17013 76938\n18951 47354\n6319 15670\n18953 53581\n50705 78167\n76029 96427\n14012 66067\n74925 93312\n98199 99026\n30343 43462\n12338 83803\n46354 74463\n34830 46886\n7488 29726\n13960 80739\n31495 82757\n24136 96623\n1307 15653\n52511 70295\n1012 72525\n26313 39072\n15385 85107\n11813 16560\n34172 35011\n42191 65744\n36989 62263\n17073 40567\n22765 61819\n57402 96246\n13552 65734\n23306 64835\n50628 77981\n6087 35231\n28126 74238\n6616 86733\n45939 85770\n60190 80683\n77146 84479\n59686 88226\n16203 22459\n11361 45663\n32894 57327\n49346 77139\n68570 93834\n4811 13383\n35817 46734\n31794 89382\n57741 94904\n79559 88535\n50713 59058\n210 92020\n80993 94662\n279 20801\n28176 56170\n26799 28497\n47074 90103\n70773 77347\n47622 95629\n35067 38777\n32682 72302\n34529 85807\n4791 10563\n1586 14420\n5700 82476\n5745 64373\n45422 52336\n615 712\n6884 83723\n44117 56747\n4104 47262\n44201 99760\n63441 74114\n7365 35482\n22014 44491\n21315 99464\n38485 74113\n27540 74267\n8371 96741\n6492 47975\n56292 58684\n22300 98376\n85195 92813\n9239 85379\n59728 79023\n34430 59375\n53901 93738\n17451 20611\n14041 54302\n5338 54353\n12991 16796\n62300 93815\n67251 99221\n19482 55084\n87554 93087\n9147 61606\n3437 97163\n66861 83767\n66914 81439\n200 64496\n24979 90329\n20343 63661\n11137 82980\n45667 83223\n51444 64666\n1317 62394\n12747 83988\n60935 63039\n39140 39193\n51212 91732\n2881 6198\n5708 10864\n47035 93689\n8218 95353\n25038 41553\n25283 70388\n11738 66113\n5421 21037\n42889 59478\n86015 93049\n18467 93474\n17335 54212\n25991 88239\n34638 36058\n7314 53402\n34355 51808\n58175 61513\n41776 46138\n45680 72964\n14293 78693\n20473 81035\n20598 82487\n16883 66235\n12656 56541\n37614 51670\n72106 79736\n37725 38906\n45725 83295\n38219 95302\n28893 94872\n4215 66870\n31929 85453\n28751 71670\n2833 81747\n47608 65500\n13612 81990\n18424 99142\n3501 78546\n20492 26732\n34683 60027\n41061 58318\n30720 84178\n48074 65369\n52515 86066\n62366 67183\n38142 95721\n1229 80900\n34864 78379\n25898 93605\n15041 79006\n59227 77966\n64573 70654\n8933 14900\n11506 24287\n21036 55881\n17237 55754\n65213 98789\n12421 61379\n3631 36488\n31810 32044\n49192 57602\n70052 77070\n49469 70731\n34663 51936\n20659 59482\n1351 67492\n7610 11838\n49030 63530\n29667 60560\n25927 62445\n122 93584\n87304 97343\n59664 67196\n21816 96824\n22765 57320\n34405 35175\n53874 77565\n4819 12912\n40671 91163\n24500 85445\n13264 65304\n4148 68072\n24175 74415\n30632 33320\n57057 91301\n69153 81765\n24463 69047\n18390 44338\n15175 29418\n10162 73754\n5768 65640\n38371 52598\n12060 93383\n38040 64555\n42875 95416\n62291 75347\n43545 69928\n34531 47842\n4865 69618\n31295 63070\n42507 74142\n9567 22882\n33059 42393\n18027 99563\n34014 86594\n59604 72097\n33023 94179\n42787 77462\n41597 74802\n50901 70608\n39094 96802\n45119 89165\n48599 77437\n23173 58490\n7733 41831\n49864 82337\n5939 76153\n24483 79793\n9100 56350\n7865 90370\n12772 63533\n1944 55240\n6331 65408\n271 64406\n74340 88063\n57169 77275\n3605 49265\n72730 91543\n23425 87272\n39399 82972\n70558 84801\n57792 58835\n47579 77260\n77753 79797\n72488 80218\n30257 72707\n43748 84146\n21295 55634\n4804 43796\n7380 42637\n48238 88742\n49874 91593\n22287 65868\n30982 75132\n59748 83783\n81805 93283\n27838 64841\n48512 62861\n7682 23251\n6699 78251\n15816 28098\n15010 99854\n66433 71244\n31156 38319\n28909 32584\n26073 62672\n63121 92776\n1611 98377\n45490 79773\n9178 24417\n17078 63037\n72772 83141\n7247 79910\n35088 54865\n52228 66301\n39476 98680\n20926 54204\n10105 75628\n97793 99846\n9729 47543\n24871 75114\n22204 96292\n2909 64818\n59454 65964\n71360 83905\n58923 61033\n9457 76702\n26316 66264\n70785 77315\n37050 94266\n38517 58171\n1051 50023\n31825 71502\n35455 96058\n34887 98343\n60988 85451\n27570 73883\n36108 47534\n32769 34747\n42259 43597\n9417 75869\n42527 92787\n93878 97172\n86420 94344\n3276 85411\n46040 65680\n54975 82644\n59030 90052\n29348 44158\n21840 39479\n1065 76534\n47630 51933\n26445 35616\n4468 15207\n33800 95559\n7201 98371\n49374 90617\n31432 51323\n27892 92462\n56701 96478\n28888 89385\n23770 91944\n24142 91459\n29466 66774\n2515 90414\n4352 61568\n35631 51346\n22526 83596\n62208 80185\n1223 83634\n13719 84332\n79239 89817\n65908 73420\n17241 45450\n1753 76108\n6008 7384\n46150 90487\n52623 89381\n1972 35193\n6949 99979\n26972 94097\n27423 83466\n2179 89286\n53322 63749\n22455 66505\n37801 61731\n70698 88299\n16618 58404\n54737 62059\n18340 35451\n33495 66950\n72125 96244\n78425 95399\n43174 47238\n19389 56485\n9170 76632\n72969 80205\n19575 65678\n35424 86538\n1043 85834\n20544 37507\n86766 87385\n35048 53845\n17465 66643\n12071 88332\n35009 80321\n39931 73203\n35976 77567\n21521 69111\n4627 54868\n23118 60067\n76126 98029\n53731 73644\n13066 45238\n40011 96593\n33413 36925\n57364 59239\n17853 33335\n4701 22655\n2256 80921\n6820 21475\n18971 20725\n69023 77940\n29726 76018\n73263 86296\n25471 55648\n71049 93937\n69885 69910\n9614 90978\n28641 66160\n37936 91711\n75459 96426\n58349 89926\n63340 64841\n40057 47837\n21845 56799\n35532 81954\n64538 92335\n26029 92746\n28633 61613\n38504 68846\n8153 19283\n27961 40253\n43301 49776\n45345 59245\n27 77990\n42800 74032\n87896 92759\n21524 44216\n54642 68634\n24042 39125\n64199 83141\n15182 70311\n55006 95065\n22601 38691\n3269 17345\n3700 55523\n28614 43632\n97483 98823\n38416 82424\n71123 90014\n44054 60490\n21477 61554\n36383 48606\n29122 71549\n77130 93836\n916 59793\n11704 63420\n8456 83337\n39158 40057\n80701 86066\n44868 82031\n69254 79876\n74133 94143\n67988 85759\n45952 68618\n21435 38703\n38517 66029\n5842 8752\n36717 44646\n29474 38386\n56907 77734\n358 65048\n19175 93485\n15384 50588\n21192 35485\n38931 59046\n27287 52933\n13700 24018\n23540 52300\n82612 86248\n51699 84334\n2082 51862\n22508 43662\n59202 71998\n993 20667\n7606 48325\n57271 90181\n11154 72422\n5132 14892\n31873 63218\n33971 97357\n22295 53472\n54643 73743\n47083 66135\n8961 60458\n73110 84878\n33550 45066\n62741 70094\n1187 89817\n15138 90676\n4284 36500\n21043 59954\n29519 87022\n7210 73037\n3139 81272\n75346 81958\n6611 34468\n41458 88393\n28790 96758\n6634 45913\n57422 98621\n11314 38136\n37001 60079\n44685 95115\n20839 73849\n58357 60911\n632 64435\n71035 95710\n30055 63018\n861 3514\n48792 55264\n35494 87149\n65567 77455\n1978 77769\n7340 62435\n47196 64504\n56620 95989\n24180 97064\n14870 71055\n51795 90389\n67703 79079\n65968 69274\n22624 24420\n11993 44457\n32909 66511\n11500 78379\n3617 83081\n22276 93995\n23402 88005\n10952 33313\n57317 96717\n29086 48596\n70008 78887\n25736 35982\n35598 83306\n55332 89141\n64075 67915\n54043 78891\n13597 98185\n38821 77010\n24186 94168\n45574 78975\n5000 36606\n10013 69934\n2442 73328\n61595 71298\n5319 89333\n1004 70974\n7469 88047\n15391 55936\n3946 34938\n77141 91025\n9840 43490\n10705 50375\n4035 76190\n35652 42252\n67266 90461\n66287 70242\n41447 42523\n12239 78464\n26849 88891\n30539 55152\n4608 92474\n12428 52216\n6816 32083\n32228 56412\n41207 42779\n83705 93701\n44587 85430\n74681 82414\n8023 27436\n39763 80270\n22382 54350\n47988 67254\n18096 54100\n19144 20645\n72284 84543\n24001 55036\n21901 64292\n23080 96979\n46276 63375\n51062 60331\n22764 24556\n595 53450\n7713 45120\n67819 90115\n44793 89679\n17290 62042\n34814 94659\n7347 72586\n72315 93827\n55956 66733\n4488 76344\n61266 72283\n36551 77109\n53293 92895\n2258 55571\n20472 97359\n58097 64888\n40452 83998\n68246 93669\n12876 54043\n56466 73810\n80640 96906\n89523 96298\n13155 85732\n18362 61340\n52353 67625\n905 79185\n29256 63725\n29028 50016\n62659 95694\n36422 56008\n57784 82176\n38292 81107\n30148 48361\n17724 86430\n5547 42647\n17028 43609\n26579 46506\n9359 76439\n22588 87604\n40149 89511\n3778 7680\n49235 49896\n75909 90103\n3057 45459\n71367 92224\n3826 39082\n4846 40929\n6722 97656\n24129 25927\n24984 94394\n7384 29159\n2669 33517\n18470 34027\n10886 99278\n20450 31144\n12918 99585\n29842 67871\n81501 93583\n70352 70942\n13331 36172\n54912 88247\n14602 64378\n78929 83648\n1961 91208\n60830 99657\n71274 78528\n51386 75828\n6151 69273\n45122 80137\n57006 62760\n6906 49259\n15001 24000\n15242 36033\n18524 71925\n12524 39556\n24965 88050\n27529 46071\n40830 77524\n3613 79751\n10472 19890\n42278 58872\n6699 90715\n94675 99727\n32686 38125\n81 65758\n59713 80181\n46048 48678\n9230 98782\n6726 25064\n84265 89287\n29001 61886\n8754 83081\n31218 43433\n61031 62765\n86538 87831\n35257 93452\n12615 36356\n25260 56334\n79501 92951\n53273 66303\n34853 48542\n27808 98834\n26798 32667\n20616 97365\n40164 44119\n1478 62507\n6909 45261\n17834 48894\n66723 95389\n9566 32839\n4037 27599\n91568 99678\n46711 64144\n1759 20295\n51747 76179\n52598 99998\n38388 41281\n42686 59072\n32472 80589\n2817 79604\n31811 52297\n11724 23838\n1019 61582\n58045 97849\n78974 79322\n44360 84159\n8578 26331\n27351 84693\n20075 22279\n44932 55238\n27848 75487\n13005 17489\n16212 74516\n3009 53667\n24168 42154\n7213 60117\n24037 41606\n10379 21107\n41587 57731\n25755 35279\n46422 93881\n49195 68635\n298 87514\n16029 70065\n44147 50693\n27309 95910\n52715 67607\n1963 86363\n33245 49070\n18876 95456\n8642 40528\n6206 54274\n16083 90061\n8561 85552\n24300 51236\n71734 81845\n55857 93743\n21760 42691\n39261 60171\n56909 89219\n55627 64301\n60812 67723\n27093 60833\n27293 84101\n5440 93228\n17032 63622\n36975 49857\n40459 68635\n16854 36958\n22032 53206\n74298 75120\n53323 94701\n36172 67329\n53711 95886\n27624 52264\n32212 96443\n29742 72719\n9843 64517\n2194 62604\n30993 73184\n15833 94569\n56976 88146\n49770 92263\n785 1902\n63732 96535\n18287 27714\n15575 85623\n37435 76497\n16435 41603\n43049 75820\n7982 37120\n7404 32657\n27752 62760\n49648 65072\n69147 73015\n5403 39315\n2859 8782\n25989 97431\n1071 97105\n34176 74111\n3160 65460\n24510 32159\n679 91334\n35698 78145\n54286 90078\n15700 72408\n77922 83750\n76296 98833\n14611 69992\n42346 97038\n44778 59496\n85125 85352\n39450 41810\n8278 48159\n71694 78038\n5305 28162\n34841 92298\n44389 55739\n65067 88941\n19412 62114\n10347 55718\n4124 66854\n14356 24685\n31354 94639\n38353 38546\n79712 97830\n38669 77979\n67607 85819\n16677 93021\n3021 6125\n16769 55122\n43506 92831\n19562 56221\n19519 78554\n18043 78496\n26140 52713\n4408 12645\n38740 52733\n57691 82895\n74902 89539\n3078 81612\n11282 96571\n19721 66072\n47278 92784\n35748 42061\n12114 59736\n13453 13887\n72807 77357\n16868 19678\n42018 86141\n71257 85629\n7136 98075\n82647 91751\n30265 81600\n39750 62286\n58952 72102\n14831 36310\n9099 12196\n31508 59948\n18375 29844\n6559 23639\n48165 84909\n16113 81000\n80071 93741\n28653 83342\n18451 30630\n857 76360\n19615 29885\n8229 50255\n9883 54948\n66990 74469\n69478 72247\n81930 92489\n32112 97086\n9180 37407\n13410 46403\n83319 90566\n53446 87963\n40022 72953\n14139 24359\n4066 5101\n41048 67717\n14920 56524\n7145 90785\n27455 69792\n42812 61917\n80795 96682\n4743 65709\n77583 87005\n51171 60153\n58179 71853\n66602 86541\n59232 93283\n61383 82257\n24417 68826\n52376 96588\n37109 44065\n50627 86167\n6659 72316\n14150 24011\n16027 40986\n10124 44544\n6262 63535\n10174 22108\n13383 17332\n27838 29302\n32800 41527\n42504 99951\n8705 30503\n45285 96048\n38823 70752\n4484 4790\n39433 72988\n41676 45089\n58853 82806\n42549 79143\n15297 80789\n6733 63896\n35265 93126\n9365 84371\n26899 50094\n23152 83800\n942 95900\n46886 89642\n12050 42699\n43202 65075\n44930 59007\n29710 86615\n31482 98051\n60597 67716\n28755 70799\n54990 73975\n47344 68035\n31475 69862\n28411 40406\n44093 89789\n76563 99904\n17080 99052\n8197 85791\n68192 76679\n28991 33745\n13505 56320\n57023 78570\n39271 43388\n6769 24374\n12775 59121\n64582 79327\n23715 35805\n11604 52619\n37213 66944\n5531 15533\n24654 92659\n421 84664\n10853 52043\n310 35463\n18758 82028\n5987 12579\n48274 89070\n43214 83346\n983 74004\n37433 52004\n34751 81179\n29371 73509\n32034 80539\n32055 66849\n72443 79056\n35430 79751\n8268 75293\n2698 18092\n23776 52896\n39630 68724\n14616 93475\n21115 51110\n38830 69687\n44350 88916\n31347 49339\n67863 72725\n43078 49178\n165 54160\n47327 72114\n40526 75079\n6802 23566\n4003 97481\n27801 78954\n21076 77864\n16584 95439\n15219 36294\n10859 46426\n10462 25310\n41814 63618\n69213 88433\n13919 61165\n16269 31953\n12946 27456\n2321 30303\n39005 71838\n86426 87533\n2625 12925\n38125 77798\n4662 17871\n52837 70617\n11766 55160\n81937 87810\n17803 70875\n41278 54957\n67805 85911\n3843 17397\n29683 62344\n7621 29199\n70650 81213\n46578 78904\n85333 93290\n66020 70634\n34545 79444\n47159 95638\n61647 89367\n9017 45531\n17677 83462\n61359 70471\n7557 77832\n27235 40063\n2021 88920\n6941 87483\n41352 75909\n50688 94253\n19868 92653\n42181 94760\n83010 85430\n22256 22810\n82696 89672\n29894 38613\n80108 85544\n42514 65944\n66151 67779\n744 78212\n40458 98008\n39660 73983\n88246 93256\n18011 92883\n23978 40331\n15761 48553\n36694 89820\n20285 92809\n32596 83308\n70927 80609\n50760 97177\n61090 84556\n52962 64840\n25170 53348\n10385 84461\n51184 78383\n59379 63663\n5133 38806\n71091 72770\n41964 80343\n35503 72105\n60379 91374\n15136 21178\n82319 92602\n16973 79816\n652 75960\n31421 40912\n21103 99422\n20286 22359\n23084 44936\n66540 89428\n33487 79840\n36522 57154\n25391 70345\n40025 49326\n41630 76854\n8359 12324\n33425 48671\n55619 96343\n10718 79222\n47798 57305\n4792 94950\n6755 88306\n31968 67912\n22888 74439\n26203 80870\n11075 27703\n254 15978\n41977 52724\n43914 50671\n62842 72779\n47515 97456\n14514 60806\n35299 91966\n15565 48140\n314 86575\n35999 96456\n68705 82803\n67552 90793\n77644 86820\n51848 83357\n95043 97553\n20453 43155\n2568 81207\n1136 49495\n32038 33128\n19300 70368\n61767 83847\n25999 30017\n3369 96036\n14734 25791\n41173 66418\n59072 81021\n39800 48426\n49935 57204\n12154 57469\n83757 92855\n73721 91698\n26826 44750\n36739 71167\n53618 64449\n25876 55984\n57617 80573\n20382 82441\n32356 93369\n62089 83237\n15273 49915\n19081 63496\n275 10751\n16792 72563\n43083 98390\n6407 84926\n26656 95061\n42995 52773\n11889 27836\n35985 63810\n4344 50741\n31634 66682\n9238 35613\n70680 78316\n18317 20496\n20910 92521\n2319 56437\n11175 69628\n65363 71114\n29772 36252\n68032 87624\n48927 52873\n34745 61845\n8757 21863\n6307 49485\n56598 96701\n38592 43744\n28743 74990\n24400 27162\n4960 7425\n17303 52980\n25859 60441\n29442 39666\n19725 73515\n53493 63522\n63874 82671\n28371 94838\n36904 44483\n29125 42638\n5854 17356\n19742 93477\n41234 99701\n20724 25161\n66597 92452\n31978 46207\n9651 69607\n35434 64151\n37215 66872\n15517 32720\n22238 53593\n2246 60377\n44766 94488\n64523 91804\n8024 67250\n31852 50082\n38533 46201\n20871 57971\n46839 97977\n18187 26448\n35395 48412\n50013 57299\n51965 89856\n31062 78496\n9168 62856\n2642 8421\n9974 83110\n24352 78857\n17721 24595\n54910 56595\n18278 84899\n84674 95762\n69770 75499\n26076 86080\n41070 64691\n81348 90396\n14953 62518\n17958 80167\n28463 38738\n22109 90929\n42591 50905\n85095 94194\n21298 40675\n48060 52854\n69407 89504\n40033 99488\n5741 50934\n57682 59459\n69675 83118\n5969 8996\n34732 97849\n1741 64845\n18864 50719\n51750 68711\n41929 70152\n85216 90169\n58196 68177\n30686 76099\n6220 23127\n79223 80885\n3611 25201\n49480 58163\n44983 92459\n39005 68530\n48613 61087\n43258 95462\n50494 57002\n31603 80433\n38179 87283\n89568 98672\n29522 30009\n72168 77770\n41608 89016\n15185 94766\n14982 43206\n4690 78890\n25513 73265\n69121 88308\n44552 71816\n1723 12060\n1961 14686\n17254 24088\n75974 79188\n86389 98084\n24605 49177\n45939 49430\n5546 99195\n10317 72174\n70681 72779\n772 92034\n4722 70150\n45100 82076\n16751 62617\n15678 20858\n64070 77106\n21719 27507\n13436 61883\n37075 83867\n28146 32216\n28050 91538\n29596 52528\n46972 98778\n42900 63290\n35354 39263\n28887 97202\n9946 89722\n15039 52984\n47608 70131\n18893 64998\n65585 94028\n23467 71314\n2408 92929\n37619 81296\n68927 77880\n8318 89177\n59884 94352\n4565 71114\n21550 81655\n18078 80708\n36856 62445\n8563 8880\n20097 21107\n13516 15398\n53683 56585\n31396 50435\n3096 29640\n74442 97282\n15467 39283\n7751 85152\n92918 99608\n27128 44133\n17911 92383\n50621 59958\n42001 59248\n2964 11503\n37842 45538\n6252 38723\n5945 9914\n5666 35843\n68945 78097\n4623 56698\n65114 91898\n24340 70615\n91161 99140\n51198 89089\n27895 56255\n26744 79194\n73305 90710\n6677 64960\n29925 90420\n24063 53112\n5247 36919\n1163 64358\n59433 86978\n29516 35874\n27279 83642\n39576 93161\n7063 93939\n47186 87970\n65928 90048\n23355 92620\n51392 71696\n39704 93783\n45447 99922\n28659 90084\n34314 87365\n13069 47357\n9141 9567\n20259 37781\n8460 92767\n19341 86825\n30653 42716\n24130 31305\n4797 74440\n17411 60295\n39648 80572\n27053 52360\n15835 67222\n3740 82435\n26016 99891\n2121 63335\n79884 90507\n37633 55775\n38499 57547\n25136 56640\n49474 50113\n27861 94039\n45918 71463\n52092 76223\n23203 62774\n3881 88962\n47887 78718\n15211 73683\n21822 30555\n37296 95021\n25653 96363\n80613 98420\n51177 97581\n59222 75489\n55873 78185\n34970 58301\n429 38772\n15314 69653\n56325 76548\n20076 44544\n36687 39906\n6529 23838\n63506 79555\n68903 83256\n15322 40509\n43952 62179\n2078 19114\n9418 63252\n8115 93272\n7058 83059\n5107 90960\n13893 88703\n42138 89992\n13106 88586\n10555 85848\n57742 81540\n31551 75644\n16974 16986\n14352 73337\n90877 95469\n43204 80356\n52104 77746\n28603 86332\n14149 57996\n27354 71287\n84737 93410\n86472 92034\n314 56854\n5262 29216\n87754 91653\n58544 94131\n6351 54078\n46106 90268\n11825 86209\n64078 82557\n52744 53739\n59815 69703\n21839 48277\n33842 88910\n11488 32553\n42731 67487\n33897 47905\n28937 75767\n4527 5490\n2396 41747\n15435 95595\n54929 92640\n38310 94017\n42724 57600\n90731 95280\n1462 40678\n18142 43570\n61318 67509\n50838 76703\n53109 98087\n9635 64012\n40627 98339\n28892 52490\n67209 74899\n36491 99428\n45306 49313\n285 8429\n3243 98367\n40099 88472\n38914 89176\n81798 87688\n65705 86626\n71391 86173\n23762 68780\n20636 98117\n61382 93005\n8579 46344\n60471 90681\n39231 41616\n18704 93583\n83622 92407\n73944 74355\n44412 72828\n24322 47130\n66413 92049\n3744 28914\n38355 52384\n25342 83790\n8169 38257\n30844 65479\n62154 82401\n286 37053\n31673 69680\n18728 43746\n18861 29381\n23682 45531\n55127 92786\n36446 91672\n5166 89056\n49188 74031\n78138 82718\n58934 62694\n45451 91508\n29786 97263\n13045 93099\n16633 50104\n28513 41816\n78111 99549\n22758 35818\n58283 65981\n33819 86716\n31587 62524\n23869 81053\n34742 57439\n69030 70008\n39430 48123\n34779 59838\n3523 92217\n24960 39307\n8043 58311\n86070 92789\n45251 91791\n30534 81717\n21492 83283\n20265 54268\n48053 77297\n9548 86624\n66080 98482\n54657 54685\n39131 39289\n66177 97269\n90121 90684\n11471 76499\n4144 36334\n12247 90443\n2949 87114\n28116 29439\n20173 76034\n43812 49480\n5139 7596\n26431 74394\n472 37431\n57809 65672\n14213 18388\n36913 97318\n23989 76605\n8620 72254\n60239 70258\n3979 47039\n12537 55560\n46446 75613\n19399 83029\n18374 41981\n40237 56717\n40863 49724\n37279 78724\n33920 37717\n45817 86280\n47385 72109\n38275 98453\n1311 19705\n6053 7441\n6567 22282\n66359 70380\n29606 77732\n29128 78223\n29242 82125\n13406 16712\n20884 57050\n34231 61723\n15443 77338\n35064 90719\n6488 58759\n79615 80012\n18162 40625\n37968 69378\n66884 75082\n72568 78962\n39385 92023\n12355 42835\n6215 98001\n6782 85811\n3479 19575\n31194 40993\n5046 18563\n15685 31605\n28484 50597\n36784 74868\n34831 84558\n28865 69825\n55448 64204\n39484 52625\n77386 79810\n35319 54377\n26782 32266\n6772 84983\n41206 53598\n1385 12713\n10986 44125\n65430 69176\n22496 55594\n40921 53222\n11625 76498\n44057 58157\n3100 18675\n10281 28788\n65113 81622\n5354 35900\n13033 86457\n36795 43325\n13566 90226\n12418 91576\n11377 36585\n19466 94747\n22760 79799\n34576 60488\n61710 81679\n39325 43200\n37403 65864\n23884 54874\n54836 93737\n9203 23730\n57995 78426\n58227 92869\n72595 76696\n13719 41216\n22954 30146\n2921 43149\n98421 99308\n87304 97151\n51618 70257\n28435 87133\n63946 96958\n15395 76304\n71838 86111\n39723 96864\n12969 73957\n10012 91018\n29339 62435\n7342 40172\n44423 92065\n25378 87057\n55562 85916\n42189 70442\n31771 35567\n34004 76462\n29162 30752\n59569 81757\n12628 35480\n4038 45260\n46149 94481\n26979 45068\n30930 59699\n1995 50607\n13251 15166\n26960 27005\n13423 67191\n21282 21498\n26481 30877\n71547 74427\n40491 51181\n35067 65268\n48081 57720\n14955 94476\n23237 43845\n35670 60024\n39941 80801\n88683 99848\n39111 52242\n74746 91015\n8871 13420\n28338 77638\n57974 75918\n11153 63415\n1556 66899\n76780 88182\n2845 96261\n26067 93163\n49623 61475\n111 14771\n31255 75087\n69257 87319\n6684 98343\n3930 79167\n10345 20123\n68290 78768\n31201 42804\n72735 95465\n11282 54230\n35972 93200\n68061 85140\n31242 78740\n53345 76459\n2602 58892\n53467 91968\n16798 69637\n49640 67870\n30482 43360\n3701 62245\n2977 73090\n5709 79868\n61892 95282\n42634 85896\n11554 90542\n61370 94791\n32509 78415\n10057 26488\n42102 81209\n67383 79287\n22766 29640\n11094 55178\n34460 78765\n25819 34002\n25965 72640\n33346 92676\n21393 57835\n38295 61033\n18445 71274\n30721 99002\n73735 74697\n6730 34197\n39547 86731\n14129 27471\n65011 79898\n33788 99207\n61606 77220\n33137 93062\n13607 47473\n31650 58497\n29549 76200\n1166 76025\n53844 72136\n51025 66350\n54524 86093\n86163 93727\n27413 99776\n14405 68504\n1947 99513\n18465 32414\n1901 38952\n22622 34859\n2451 16284\n37483 50100\n22434 85032\n2182 79298\n47501 58842\n26297 40703\n62065 99973\n52131 82680\n74901 87657\n52203 56835\n50807 93699\n52543 81958\n3113 94496\n55471 97066\n65354 94988\n3434 26664\n40968 59633\n12550 33463\n29211 34576\n25524 51767\n1880 67397\n17830 23749\n4456 20282\n15347 74893\n41944 45831\n3896 86178\n12321 45328\n23486 66899\n12078 62656\n52737 66600\n10106 63680\n45386 53186\n23335 99335\n86480 97191\n84769 90847\n41758 50357\n26812 57826\n2000 25928\n26185 69174\n43109 55499\n5320 43702\n9486 36438\n8180 95087\n28702 80764\n14958 97436\n14448 93070\n11987 63741\n79783 95437\n33450 55401\n41274 43479\n41490 88244\n31054 65005\n88368 96192\n48570 55528\n66476 88456\n51989 52167\n8813 21677\n63193 65984\n58390 64262\n32385 91765\n17559 18011\n18250 84411\n10780 14752\n82451 96043\n6960 48218\n6771 12256\n41056 84666\n8515 69602\n62250 66470\n15984 75905\n57834 67231\n26576 32265\n9165 90138\n10932 59818\n69964 82441\n14414 21370\n65406 83574\n24717 81263\n33195 58384\n17714 60531\n7017 24435\n70807 90235\n20087 36777\n35272 37075\n28439 46581\n9664 34504\n40319 89229\n30950 64469\n43208 82894\n32757 80783\n1140 98533\n35814 73592\n34144 95438\n21022 78561\n81193 86485\n90140 92990\n56489 98548\n13906 88850\n13685 21953\n8615 50356\n53500 82630\n70467 72982\n38565 61657\n468 26529\n60572 65694\n25041 56232\n14444 96965\n57817 89761\n54510 62697\n18997 88732\n74268 79026\n31662 60080\n42545 43301\n1694 2865\n6285 83204\n7102 58685\n61510 88890\n68994 75820\n16065 74599\n47788 93568\n29943 63560\n16886 95019\n13554 73454\n72442 87952\n47173 83906\n21881 59449\n6422 89786\n10136 30582\n11778 69818\n72739 83154\n37534 58977\n7980 72609\n40332 47415\n79703 92938\n34197 62318\n19797 77625\n7785 70258\n52381 99732\n4303 21292\n16708 20020\n67108 87359\n47747 70395\n54497 88375\n19608 98340\n31514 88553\n34397 54743\n78060 90049\n28259 64123\n62150 64581\n82419 97203\n16076 62344\n32449 51929\n32721 88131\n21995 86170\n40702 64165\n26998 66616\n15664 83853\n912 21331\n17112 27940\n49784 57029\n93302 97919\n53321 76221\n26389 81973\n30576 66299\n13875 55344\n38568 58775\n50810 85243\n31172 80640\n67384 79086\n54620 93012\n51935 70055\n63752 87863\n16880 63204\n7244 66567\n28824 55037\n21289 92981\n4958 88273\n86167 92227\n1694 38256\n25369 87248\n52144 83118\n23798 57519\n30055 62042\n23486 72585\n40877 64114\n37519 56880\n29167 42143\n56301 93681\n4747 51313\n39333 67403\n13391 62357\n9854 62716\n33811 36264\n33599 38292\n19636 47425\n6656 64676\n66317 87976\n9971 76236\n77225 86356\n1838 44044\n6880 63986\n31172 33251\n5722 45771\n3119 48049\n68831 94535\n5469 10586\n5887 35046\n66750 70295\n47512 99186\n34869 91498\n17540 20219\n513 61000\n33017 75620\n29582 52618\n8924 55600\n227 50893\n50960 77771\n13269 93651\n35637 97055\n17623 86916\n33407 99538\n50615 90524\n44533 67631\n67757 85446\n37784 79542\n76482 84828\n31460 75078\n36434 95855\n71449 99612\n40389 51122\n17975 40623\n5944 41580\n56702 76828\n34347 86466\n52861 80805\n9994 25514\n39646 74301\n40887 51999\n28653 28770\n37283 50773\n32401 99147\n78648 82814\n30591 65195\n35270 45369\n9390 21992\n5857 96845\n15322 63213\n42127 74602\n32788 43922\n26483 99159\n8067 69232\n99432 99864\n8534 50442\n47612 91545\n56490 59161\n72274 83466\n43240 57454\n3381 93182\n42126 56528\n72739 96049\n26593 74769\n13541 94150\n31062 42581\n17666 92422\n80817 84120\n52888 84885\n95416 99619\n10828 36968\n15947 94762\n26932 33704\n5583 26580\n57061 73549\n72590 97019\n62359 92560\n28509 93957\n39025 95318\n29827 32790\n11966 19441\n28135 75503\n5177 18496\n57648 64522\n36484 95886\n62412 84477\n61094 73641\n68669 99712\n22359 32529\n55688 77861\n5048 19058\n42756 90151\n74597 82684\n5109 48702\n27406 35463\n2193 54618\n3955 64408\n94378 95774\n7205 38775\n57826 77974\n90621 94725\n32952 73828\n4079 20492\n6815 56691\n39255 86994\n10809 35647\n66637 84325\n94359 97171\n2122 58545\n1215 91400\n30523 94052\n6711 9558\n33963 81703\n11829 76513\n10400 30889\n69488 81638\n4155 80840\n79752 90898\n62939 70560\n10145 79141\n4885 13206\n20950 73169\n56255 59045\n44285 54593\n2095 12646\n35012 98321\n4024 26735\n90255 99098\n12134 79503\n51622 87829\n27755 67943\n10009 65440\n4914 60657\n46871 55838\n9431 82783\n19678 36890\n8588 48108\n87159 96817\n9621 48484\n9572 82806\n10587 90093\n6301 39442\n71453 80736\n89911 97695\n10471 17744\n51136 58140\n12516 51738\n39975 62396\n19572 90474\n23737 38358\n37891 84955\n64418 84235\n16116 21815\n50880 53657\n10823 99889\n51715 60037\n67025 75133\n9492 36367\n19851 40804\n13874 19569\n60733 79706\n9281 30483\n22054 53630\n35019 60305\n12002 97780\n52342 99140\n40925 48007\n53598 72516\n56274 79023\n968 26182\n59944 90776\n38517 97183\n3803 21378\n37624 59818\n1043 46448\n61636 85623\n67530 88903\n53560 54014\n34264 51385\n60360 89884\n36577 38571\n33658 77286\n8556 22965\n8782 26255\n39494 77508\n33800 62805\n12695 18454\n13349 21578\n16481 76926\n34977 98127\n7262 82024\n3895 50426\n6704 81841\n58944 82592\n181 24619\n8860 31912\n16893 22962\n17257 48521\n51867 95800\n33419 66663\n17257 45327\n59251 68852\n54483 93989\n50916 62406\n40364 89202\n49182 94707\n34266 39493\n64215 75777\n22351 49459\n22302 73429\n20652 87242\n7422 49239\n11519 30172\n3524 32064\n23729 65473\n9717 59219\n14288 79450\n34271 41607\n11355 38601\n61601 93464\n67878 83052\n73512 84555\n7982 99473\n14252 50920\n6065 84962\n26052 72443\n45246 76877\n20091 74855\n32014 40392\n72425 99719\n51643 79365\n18274 65373\n7611 21588\n62768 70477\n94071 95024\n51241 91103\n21930 22804\n14407 17942\n56895 79033\n29095 93392\n25400 67047\n59908 79758\n51447 86460\n14139 32727\n56859 89304\n26528 89789\n38844 80242\n44389 80967\n71048 86774\n8683 30779\n28009 47409\n25033 52733\n70916 98486\n27255 39925\n3683 89029\n11776 32101\n35144 39785\n51369 86603\n28413 97638\n47821 78280\n72673 73899\n60173 68612\n88642 90119\n41096 55791\n23977 42729\n29678 57588\n51306 59419\n93444 93907\n10206 45856\n26802 70534\n27237 86725\n83982 95920\n24852 67785\n15556 24628\n75869 75976\n18273 67291\n34204 51653\n25189 81390\n3012 27309\n35258 39653\n46397 86957\n30865 48917\n3021 94418\n2989 49412\n41920 63477\n11326 65537\n11288 70208\n72866 83543\n3910 24472\n10514 60890\n95469 99270\n21117 80815\n2038 24467\n12132 68268\n50077 96172\n48670 95197\n76982 89811\n1625 18867\n82486 93526\n74054 90117\n30729 60986\n54133 80709\n2407 25723\n47749 59990\n26395 47624\n64425 93543\n81427 82034\n27418 45829\n19921 81975\n66471 76668\n4591 75774\n2500 97454\n58244 91980\n18221 21386\n18901 36644\n41344 87699\n5985 26531\n63271 80690\n72723 81388\n80886 94527\n45594 60207\n82814 94581\n19949 93886\n24151 64292\n10809 87739\n64739 87324\n33799 44241\n36546 79835\n37255 97626\n40060 96801\n60679 63761\n3905 7758\n29575 76396\n39044 89214\n80598 87299\n21706 73619\n54774 58234\n32769 44592\n14756 16723\n58498 92039\n88129 90241\n2364 47478\n37658 55296\n49503 64184\n23227 83110\n76546 81335\n2567 13710\n59385 81559\n73289 74525\n96925 98157\n51215 83218\n77553 81355\n2533 46657\n189 93342\n47820 75353\n73547 92602\n18174 50230\n21817 86912\n26310 58645\n16521 64642\n34024 63138\n42677 77519\n27797 48282\n33928 71225\n26040 43815\n29150 88035\n41695 51345\n27249 60377\n36592 61515\n30987 39577\n70795 91969\n20584 70468\n76652 90118\n59333 82651\n39313 64152\n48471 92014\n53876 77167\n32716 39716\n30140 60000\n21663 77408\n62236 78929\n64860 89685\n7939 47036\n49850 67275\n51700 67210\n33056 36040\n78777 83139\n6222 63066\n8723 74681\n18175 69326\n10615 93429\n4171 60773\n1383 69709\n22165 41776\n62776 84735\n17727 48975\n11985 27598\n54510 86380\n3828 36061\n6867 41674\n86747 88939\n26325 95719\n65661 71913\n2654 10055\n38247 79033\n5663 58440\n40950 80915\n13714 72927\n37036 93329\n54268 85898\n33969 78491\n14105 89799\n71044 86442\n56300 57838\n56016 56247\n77182 93831\n36698 79380\n31074 69813\n30702 82236\n69141 87340\n13768 23744\n24285 54041\n23692 38641\n12819 69315\n33321 48894\n2056 73176\n7124 81223\n65837 72126\n40826 76088\n74266 89946\n9187 64057\n23425 40068\n37555 59924\n11128 95171\n22630 69472\n24591 94196\n24469 56102\n33230 37313\n61753 89266\n39034 65448\n38071 46806\n72115 88865\n26174 92349\n85606 91174\n10183 99334\n38571 55021\n45395 86972\n418 58664\n51228 73494\n47468 95227\n9098 28297\n31515 75978\n63489 84663\n62849 64188\n73940 81506\n38999 85302\n96818 99335\n15842 74584\n51258 88966\n82282 99032\n37169 37243\n29966 34411\n50257 78299\n75347 78090\n58345 87023\n16687 74635\n23479 60231\n841 30320\n30588 56921\n19806 98546\n25747 64663\n7443 47442\n50055 78502\n25806 32361\n27083 41717\n16673 82763\n10698 95000\n36799 39962\n20022 25284\n62460 96413\n40250 54850\n35490 45136\n22692 68719\n18366 97463\n77703 96021\n4222 67549\n83 93031\n74799 94209\n22336 47640\n17314 23996\n9475 67362\n19556 51402\n46524 72481\n2490 72439\n10598 56539\n30528 78898\n19524 52899\n22990 92265\n37882 69583\n35849 61235\n6829 29100\n33106 71864\n28449 47758\n5155 38703\n11309 14779\n54786 67892\n67549 96200\n8180 35849\n25177 71399\n64783 81153\n15536 56693\n76064 79703\n21290 91253\n2744 55896\n19284 60094\n8900 62008\n69607 90284\n20550 64775\n8941 99422\n10257 24031\n52554 63614\n29279 39629\n10280 41632\n9993 83351\n21583 40882\n72650 89417\n20905 27003\n46385 83955\n48699 92120\n40777 45011\n9537 84149\n20636 51860\n1674 86267\n43240 93343\n11698 93966\n16160 50423\n1677 98345\n5359 84539\n44631 91071\n9660 62587\n44961 91066\n48527 74865\n47140 78249\n48824 71810\n40322 95554\n1159 30743\n78428 84396\n45381 68933\n31579 95081\n53688 95774\n5990 79467\n36700 58290\n61468 71394\n33067 42868\n34844 96353\n166 18196\n48758 52468\n26208 90506\n19207 19995\n37193 63708\n31609 70319\n14663 63010\n16175 64854\n72924 90724\n48139 67055\n43477 54830\n8080 78949\n59005 71112\n56473 60799\n6703 66145\n1702 8018\n41634 52016\n14184 55286\n52766 66611\n70179 89270\n35507 85965\n46495 60213\n48913 82400\n74673 91799\n47277 89591\n56282 69606\n69880 71647\n56535 72348\n24264 87151\n16536 93302\n7916 76740\n40953 76432\n32291 97167\n1014 22942\n46306 52832\n5732 53902\n19341 29444\n49115 99225\n67337 95146\n85884 89437\n2250 36708\n23854 35658\n8470 31235\n55172 68762\n45665 58004\n47222 91699\n57736 62117\n43605 62819\n4216 84246\n85434 86985\n8118 76847\n60657 63577\n25486 63512\n57649 68755\n23792 82296\n37486 53684\n82806 92006\n453 28967\n95381 95800\n34595 99519\n66263 66998\n28058 49031\n16631 82941\n2061 57971\n37624 97471\n28586 81385\n20013 89507\n66535 89851\n37775 86588\n43847 76677\n17712 61713\n2901 43326\n37740 69579\n41319 99131\n51715 78704\n63347 69162\n87109 92320\n92419 97295\n62952 63407\n32485 74202\n17944 51999\n9432 70236\n17488 71556\n41631 76374\n46561 76218\n41304 94386\n4836 16503\n69148 99165\n12685 65876\n11097 37394\n27807 68656\n25018 28933\n70974 90489\n42769 62606\n41796 71060\n27650 69420\n13299 39245\n32189 65272\n24055 56431\n67624 75907\n53378 94231\n32060 83037\n20946 57437\n25950 28576\n36498 67175\n30924 93458\n97131 99233\n82371 89077\n15711 47851\n8677 11852\n71285 97569\n16876 64696\n58201 97107\n38986 58705\n5496 29939\n7170 87234\n27742 41345\n25618 64192\n22890 23089\n8563 83537\n54425 79987\n56816 59677\n2338 26281\n87438 94838\n8547 91403\n41358 67871\n66826 90260\n13582 88357\n10908 48225\n22151 73629\n21046 63048\n58074 68716\n26493 66468\n7435 85580\n36958 99912\n47346 84896\n653 86799\n15998 28063\n33139 43920\n10157 97478\n11551 30577\n50904 71064\n11660 60164\n44823 62973\n5197 42336\n6765 46996\n12713 94111\n29684 43934\n5202 20464\n63512 77403\n52332 72391\n29457 38325\n34656 66288\n8202 61100\n12433 96087\n26533 37266\n45754 78824\n50876 83128\n64606 99809\n15377 26809\n34957 78398\n92806 97458\n46720 77826\n51004 56977\n12142 64304\n37326 43279\n55585 94953\n55469 90654\n88119 93649\n28125 71880\n24975 66251\n89883 95777\n22455 86711\n18021 71006\n42555 47831\n13947 30760\n80807 94540\n15806 50761\n14182 67184\n60287 91422\n28370 61343\n52359 94559\n54726 77566\n19537 71632\n71154 77918\n68221 68459\n3791 36603\n33989 65154\n71732 79340\n20441 60208\n66717 91349\n8861 18565\n67735 84000\n40310 57591\n10347 16557\n78277 86174\n57968 58230\n1807 45326\n972 76118\n1518 52755\n21047 40966\n74066 74638\n46651 96346\n38547 79288\n48067 55027\n7189 49305\n31891 82455\n6809 13684\n34542 74593\n76067 92320\n51335 60942\n10717 47130\n8301 98577\n65390 84210\n62348 94974\n18476 73781\n25727 56843\n51443 62372\n19716 38093\n86242 86259\n42480 71737\n66228 71291\n4466 41779\n72434 95102\n23591 74491\n45661 58596\n77547 90693\n34958 68457\n92864 93860\n36203 66145\n26203 54152\n6470 88994\n45197 78890\n44333 61931\n15214 50858\n9043 83433\n90859 97741\n31818 38782\n50029 67246\n26674 65809\n41877 83573\n34391 91682\n69185 74340\n2683 13765\n58151 81209\n56351 68018\n24189 97240\n56078 98530\n80582 86926\n78056 94713\n57195 87641\n83776 98530\n959 74725\n42821 69053\n7763 92901\n69674 94725\n12130 82630\n12190 36413\n20194 28556\n4111 41811\n35605 41126\n79343 95753\n17085 43560\n8860 88385\n9452 89086\n9339 68131\n78117 97494\n27721 45907\n5880 65474\n46013 71677\n2770 87758\n15069 43083\n33508 82234\n5084 67398\n1077 56126\n568 72690\n28546 43345\n56475 94809\n78319 85931\n55724 88425\n48501 84353\n9148 58292\n30540 83749\n75075 92122\n72450 86569\n3175 6696\n59881 78427\n6113 70559\n990 75439\n21391 76855\n40677 48103\n53268 74745\n33471 65815\n34356 73525\n10925 82430\n24340 82941\n20045 72640\n25088 81465\n35309 61308\n19886 31480\n14796 41922\n10607 15229\n1674 88265\n47137 68572\n19122 91758\n2107 39660\n25649 89796\n39654 76224\n37398 69274\n19377 72138\n37721 74168\n77418 81344\n7412 64634\n11175 82053\n39802 65553\n51551 78930\n5565 60941\n87943 88938\n55773 90562\n32601 94887\n77008 98320\n12854 32713\n11819 84380\n18419 36653\n29619 40948\n79642 93947\n40990 89360\n5535 10722\n22654 45156\n28835 63239\n63395 65870\n50352 92225\n67938 97428\n72348 99669\n14793 73060\n1651 57918\n7279 15864\n4458 51256\n30578 58388\n70155 99378\n42520 72582\n3945 10396\n5068 85256\n13021 93893\n1353 41979\n71241 97103\n26311 76600\n14439 21096\n8131 32724\n46578 48783\n70506 98262\n9083 9420\n23417 74608\n88824 91649\n32356 56913\n20929 32714\n12360 32214\n44847 59014\n31982 70875\n16049 86066\n45166 45309\n16831 56284\n25923 45300\n63594 71795\n7608 75567\n65311 77445\n39692 93300\n66520 72144\n1724 55375\n63762 64060\n38761 91293\n70298 89665\n19222 20286\n63628 95861\n4628 26786\n11508 98708\n12069 46539\n34430 57904\n43995 49740\n46285 54879\n62798 91387\n80462 93229\n14195 68366\n2455 22505\n10245 15470\n29671 56493\n80885 97662\n43691 71330\n51101 67138\n17811 34173\n22450 31532\n29859 58275\n20738 65593\n17029 73982\n11430 78713\n15720 82435\n40291 66440\n32210 88083\n22201 65072\n79476 91171\n22428 78474\n31335 92486\n6060 6110\n75092 94403\n31113 42805\n33007 59539\n88154 97556\n22567 96606\n11371 65141\n19820 22064\n34788 44640\n60727 86784\n38263 55381\n49031 58471\n55291 97025\n29895 40561\n4899 29972\n32480 36914\n30561 66069\n23240 31102\n33655 52309\n15783 87303\n18554 54368\n436 94489\n4746 25177\n6389 28390\n14941 31547\n3100 29457\n4244 36253\n56365 95136\n8835 92960\n2968 39116\n10230 55548\n31591 65221\n9273 48257\n5177 73234\n3157 75123\n8950 97530\n2237 56194\n58750 73333\n68335 92297\n54754 62592\n10796 92267\n30104 87039\n10128 76260\n839 63007\n40506 91113\n48444 86841\n70410 87570\n6176 90182\n17633 50122\n27803 71718\n20436 65990\n5744 64934\n38860 86308\n11912 49014\n15558 95882\n32279 71509\n12273 59874\n39616 41989\n10852 56335\n21092 64624\n5909 34037\n32116 50489\n52964 69523\n40881 65994\n13251 51588\n13741 38988\n2072 19976\n4244 53145\n33683 71623\n11088 51772\n53024 67838\n4156 54419\n52666 73291\n72107 87871\n47817 60411\n57316 95972\n47955 78955\n45839 67992\n19269 28853\n35356 46620\n5372 86897\n11985 57863\n9613 54799\n7335 30614\n63803 73998\n25543 63646\n5596 85352\n25793 60188\n43914 48854\n56409 73841\n7438 48617\n34625 39694\n34904 76817\n54639 80556\n8838 34487\n38727 81576\n47655 55271\n49164 63350\n1997 33087\n28882 30539\n29591 78961\n32831 55958\n61368 63353\n2699 58049\n46208 46490\n37829 53394\n39738 66065\n54975 89999\n76811 92952\n27314 44432\n51670 97357\n36711 72062\n18223 74088\n25436 39601\n70077 94517\n26812 57161\n69449 86098\n30337 75256\n5343 84101\n23449 32498\n3346 86548\n6481 93322\n16406 85997\n6940 25641\n47632 92968\n13304 75708\n28478 97955\n33254 89248\n33584 95406\n59638 64181\n29745 72215\n2272 83251\n16590 49782\n2015 44464\n32689 69752\n55803 85482\n29353 95399\n32396 61469\n3103 67359\n14254 88819\n72992 74595\n16386 48253\n45228 70830\n20495 61337\n65498 97706\n54959 67546\n97527 97674\n55228 62167\n50738 57789\n45943 73656\n11690 24498\n63574 91217\n58568 98620\n4180 72699\n4727 20772\n39984 52169\n17523 76610\n22377 77119\n27306 76370\n28126 57832\n43853 60935\n13635 85882\n44578 69255\n5267 72659\n23613 30056\n34945 90943\n72640 74042\n45463 74988\n57836 72314\n13782 44408\n23338 94105\n15922 96735\n7485 66310\n23068 49099\n49072 73400\n11525 68208\n244 66601\n41114 97591\n43690 48114\n66475 68734\n18362 55069\n14619 68075\n5136 89834\n37206 67804\n86567 88955\n6425 30005\n25292 71980\n4090 85787\n39656 85554\n22935 23714\n8114 64871\n38236 80499\n30627 80300\n61617 88424\n39271 67323\n22627 40690\n27262 74336\n21869 87744\n56663 58867\n42179 70651\n28144 60003\n17021 58411\n65968 85214\n52673 87497\n859 83104\n25832 91024\n47296 95366\n17622 86483\n75440 88036\n6588 71702\n63848 68503\n29255 59731\n11199 56531\n50384 63907\n18752 55244\n35124 86986\n2886 47557\n21779 95813\n33026 60256\n3861 16489\n9499 84060\n27007 94237\n68887 98608\n299 13823\n4482 68393\n2699 43685\n6322 57737\n25836 43133\n94142 94727\n77055 78506\n1318 20167\n71510 85650\n16923 81114\n34739 77505\n2387 47489\n44878 94483\n36345 87401\n19154 38338\n37110 71859\n55559 87820\n4985 89280\n18921 99635\n6662 80700\n12969 65160\n28933 31324\n22565 88461\n63034 65622\n69713 70111\n10866 45491\n45791 80295\n9205 35668\n69847 83012\n35102 90427\n19453 94081\n69347 75453\n9289 94846\n12585 26403\n10337 39403\n33891 74978\n82007 95009\n8996 9707\n380 4506\n9879 69524\n83683 93471\n55831 89363\n6945 67965\n42490 87568\n43366 91049\n4128 44795\n35413 80845\n36924 89648\n19350 73272\n14809 47911\n28376 55081\n8096 11707\n77085 80558\n51908 55328\n27827 79686\n6856 73955\n23037 54644\n60873 77719\n71896 96203\n8838 85990\n31038 54762\n43910 45382\n72542 80635\n44703 45832\n64997 98894\n78408 81469\n2764 45652\n34807 82100\n43817 56939\n2121 2664\n54233 75503\n25143 59249\n87258 89176\n8882 66100\n18494 88702\n82243 89982\n22239 42030\n40639 41887\n84401 84782\n27005 54216\n38941 98776\n64227 88148\n51859 74232\n3446 11592\n29669 52642\n78086 99541\n40496 93040\n70924 94566\n18300 85001\n23013 26088\n16059 40094\n28894 70643\n42742 73278\n34168 54688\n57776 80858\n35639 72798\n41921 82323\n56679 66304\n31317 81128\n29473 29974\n8865 45912\n48996 97919\n50156 70506\n71283 94037\n11666 20060\n50483 75131\n22981 92258\n66687 94379\n40646 76874\n61393 92029\n37645 95429\n18795 35582\n11716 43186\n72634 82140\n42531 89371\n18849 32773\n51853 54092\n61826 82502\n88465 96003\n58993 87465\n40543 51242\n41506 94311\n66155 91730\n38622 68723\n55565 56734\n18637 82834\n80680 92598\n65217 67615\n6154 80279\n11777 89305\n19545 76247\n74 59659\n4058 65651\n18465 21765\n21951 72514\n2216 18303\n36115 82203\n12819 52339\n13442 91430\n55982 75240\n35592 90103\n82352 94922\n20653 64968\n33971 85611\n7396 61471\n38641 80710\n71509 94475\n31109 32873\n31341 61299\n22323 58897\n51894 81495\n12437 27780\n21708 72266\n52904 80955\n24770 31740\n21090 66348\n43596 52830\n30378 95134\n40575 82017\n31212 88813\n1913 73924\n64283 75032\n28301 82400\n2340 63608\n8522 17698\n72759 89124\n41922 86696\n59637 63543\n3622 86401\n77373 99484\n25872 97368\n27225 33466\n40182 77625\n67305 86866\n16604 39921\n40459 54013\n15759 28566\n21096 46623\n54139 94739\n23284 49438\n14123 43754\n2430 17420\n51529 92224\n11901 35835\n42640 72035\n34829 51812\n20643 70357\n8407 81822\n6918 37876\n13769 35103\n47488 79846\n43425 63977\n34008 77973\n67467 78662\n44960 63923\n64289 75275\n6913 21843\n58986 74383\n50439 72202\n79928 81391\n19414 37215\n65819 82295\n31834 49146\n26080 77280\n21693 38933\n6983 99355\n5387 43404\n5505 97777\n66387 75445\n30026 86163\n34 9769\n17200 27190\n52340 98695\n6421 45529\n6316 82574\n15011 42234\n62196 64776\n6898 38216\n10904 34445\n2892 15512\n80470 86096\n30846 91456\n2034 48208\n57790 78540\n17917 89508\n9452 91649\n26782 94118\n53745 92625\n4630 73494\n38257 90881\n42220 62432\n59176 83285\n27523 55361\n10561 91668\n35864 48602\n3689 84067\n47024 75506\n26823 33077\n31509 81399\n34580 44497\n55368 57724\n11499 20481\n81995 87781\n20610 92480\n64929 92857\n90763 98232\n40753 45517\n12216 28910\n34477 50486\n29311 60746\n5881 51408\n25479 86593\n22712 76461\n15580 95162\n5963 8941\n36446 46762\n58289 82869\n6738 14089\n87612 89420\n16235 98483\n49454 88864\n22097 33881\n10535 34788\n86809 90342\n61817 80756\n14292 54552\n8748 63214\n73798 75172\n87991 92518\n68154 75714\n42359 68253\n26805 62792\n38027 94254\n29526 61381\n7353 56541\n5847 48633\n60149 86231\n6040 64866\n10010 53777\n47401 84279\n2965 6559\n2838 96634\n7532 74618\n51150 74332\n33330 64407\n44 34503\n68718 71507\n70410 72976\n1813 38451\n47450 81279\n3379 5092\n79292 86254\n34367 88235\n29221 46183\n13372 54766\n12134 30255\n85316 97433\n20211 49569\n43991 75867\n52749 73654\n32323 68107\n12938 90123\n2696 42374\n18299 53353\n60408 64507\n83384 99200\n74122 95964\n16976 87021\n50088 63801\n41799 82566\n44493 73891\n8512 90616\n85331 94336\n1904 96483\n23834 73715\n20964 65581\n61353 98304\n44293 50617\n12459 79296\n1084 28645\n40035 80533\n73277 83514\n16261 23951\n13803 65450\n50931 73685\n33146 34482\n25482 46364\n11654 13205\n43451 60333\n14714 64997\n54829 99956\n3823 94268\n33702 67007\n67871 78862\n84512 86495\n48381 77150\n39413 86976\n12180 91175\n14347 94025\n48276 55478\n55455 91330\n5081 49258\n22659 99438\n3805 61110\n22096 89364\n18491 78171\n21785 81634\n60754 82391\n23319 27221\n5926 74629\n60057 67123\n34367 69858\n28511 52842\n71955 83225\n9827 81080\n20044 53602\n33389 70333\n20159 28972\n6421 71354\n70416 79294\n44231 74740\n30043 39576\n10567 39408\n7677 71389\n3214 29769\n46391 93920\n85903 86930\n39561 93644\n12884 24634\n11478 82608\n12974 17869\n36423 65286\n21153 50901\n64570 67230\n3612 66581\n75961 83398\n50927 58946\n57216 64103\n69083 97346\n30513 94389\n17530 20547\n19391 76815\n52591 57884\n1780 71729\n26345 82008\n20435 66456\n3054 70793\n42135 48019\n5265 77240\n53131 74568\n8440 73325\n5398 28814\n56802 64655\n54649 89948\n9235 49026\n41527 93131\n34648 86254\n86579 88253\n53452 60696\n27836 47257\n50230 96186\n19448 38885\n95530 97414\n77222 89964\n4279 75374\n73206 77349\n19204 60412\n60497 60596\n47751 97308\n39250 89909\n7579 91459\n50185 70686\n37984 54597\n46955 79934\n12975 62895\n11525 99758\n66759 98635\n52811 98823\n33931 42412\n15508 18438\n6148 53376\n14728 18435\n62645 74201\n6330 92374\n26801 74894\n33447 92345\n78703 82142\n34752 66739\n13789 15763\n21241 61946\n63540 88847\n12404 61662\n13331 64945\n55186 78992\n52193 81325\n527 91753\n47780 64767\n52108 55171\n65082 95726\n82207 90622\n12152 29340\n3148 10049\n34533 78886\n53504 83022\n39905 48848\n57495 78930\n52423 71244\n11725 60782\n25689 66296\n8233 8555\n2636 56947\n59671 90708\n6383 95783\n3576 55597\n9562 56716\n95657 98252\n22098 83373\n22735 92601\n10204 29905\n22383 38695\n17833 40848\n10161 61663\n28066 34782\n35056 98880\n58247 78470\n4560 66143\n16717 63221\n39891 96575\n32773 79912\n5689 47408\n76038 83454\n48053 96178\n14526 64660\n45744 84903\n72897 84228\n17372 73437\n58168 93879\n11183 35237\n4377 24349\n23771 69791\n38472 62705\n21032 76466\n30879 80680\n14865 61065\n16702 22206\n8635 65600\n69441 86178\n69306 85579\n59502 85326\n13692 76233\n4336 12541\n7781 80285\n16585 62197\n57734 75314\n31887 44382\n80529 86879\n13215 63677\n33938 87268\n64621 74893\n74808 84485\n81023 87345\n12299 61666\n12125 20320\n14553 31678\n2178 38387\n55855 76279\n934 47977\n32373 47978\n73322 94161\n19949 33201\n10364 55575\n60389 66097\n79764 91475\n36734 43790\n83512 94037\n27366 65402\n12184 52952\n84259 87637\n37348 56833\n18821 51488\n13015 88432\n64575 67915\n4137 73708\n8562 31416\n27086 51285\n56050 93055\n8996 52340\n17739 79103\n14721 67953\n3450 99400\n19849 68637\n4039 48281\n24850 82855\n31465 98531\n80370 90866\n51532 54676\n20435 54827\n31435 60675\n36818 52536\n51847 59267\n55447 61536\n7207 92222\n20578 96830\n8714 69702\n6229 88579\n4811 73709\n4500 8868\n728 95253\n38976 66303\n81856 98212\n71033 80838\n19358 20534\n20930 69464\n3506 59512\n24311 69665\n17664 28588\n26178 48986\n44768 65271\n48084 48302\n12777 84728\n60563 84252\n54304 88650\n17882 21815\n17368 17449\n22342 22650\n75321 87614\n35716 65331\n6282 63346\n2962 39976\n55597 57869\n85950 87822\n59197 72098\n35879 48813\n20790 96468\n5635 21673\n68640 85254\n68886 71333\n86459 86617\n36807 90467\n65182 71915\n12532 82856\n28406 67554\n9506 64731\n54623 90386\n40715 55901\n12816 99604\n95719 99252\n6228 65010\n6306 10253\n49670 97086\n16492 65198\n31834 97046\n11894 25829\n36326 54817\n5010 38830\n40080 94141\n17233 37443\n25570 86441\n18709 34127\n39308 78399\n15727 27280\n31284 59359\n274 85669\n39656 64843\n78363 94731\n34674 40272\n12042 82396\n8316 95443\n23316 61923\n61912 77874\n10240 61101\n31638 80790\n8048 91253\n75241 78120\n25030 42325\n82132 92359\n55981 57231\n7124 69058\n8485 29813\n60992 85805\n82903 97661\n2063 34633\n34132 99567\n26251 47883\n35188 54743\n18274 28436\n30884 71237\n24858 77866\n11204 99384\n8270 68436\n25670 53731\n16892 95628\n72689 79435\n69817 74188\n36600 90065\n64143 77679\n29725 65359\n48497 48698\n39530 68119\n52850 61050\n6875 14616\n20427 81101\n44238 49181\n19588 25564\n97391 98080\n366 54890\n30334 88353\n16093 67121\n73603 83967\n31044 56875\n49264 75074\n1681 74125\n5111 64267\n58492 94157\n12348 73589\n54565 78185\n46444 61428\n25967 89632\n34429 47719\n28770 91574\n17155 93208\n52298 97079\n42872 48838\n54307 98486\n22404 36909\n13831 79651\n8089 67199\n10954 59115\n61784 69426\n4720 37380\n57116 76271\n30394 99132\n2668 26136\n4436 71477\n68542 91151\n45112 45247\n21281 95445\n65216 95076\n46484 76728\n71567 77799\n17402 65265\n3888 55503\n16641 21668\n5129 52792\n5513 32719\n8733 46863\n46653 98042\n61747 70447\n18937 88956\n23914 34333\n19403 25594\n82477 83187\n4046 49264\n18924 95030\n50813 81082\n13924 30139\n23692 89488\n33061 55044\n40073 43771\n15852 36502\n72464 84446\n84028 87740\n25712 54231\n23371 74053\n53318 75000\n54223 99635\n55144 99145\n58474 70735\n37791 94460\n20805 79411\n45872 83699\n6678 99533\n9547 12384\n22008 70923\n19781 30519\n31823 39081\n14909 30236\n1266 84384\n8828 79333\n24478 79091\n30806 41616\n6624 52868\n14281 77589\n21804 44850\n3919 67466\n37098 58191\n84722 90371\n10310 82070\n9147 11975\n8031 82070\n17794 19932\n87590 98612\n54501 71222\n5563 49366\n1506 37323\n47728 53534\n38256 45457\n73232 88801\n63526 66636\n55721 93211\n25848 48405\n96076 96538\n18619 31294\n34502 76367\n12658 40273\n16632 84361\n5286 70314\n25502 38381\n8135 11971\n25969 99598\n53451 73130\n58356 62757\n3506 76438\n67357 94404\n32513 67966\n42027 58538\n18400 94924\n13312 18966\n15848 80741\n27132 42680\n12 79717\n17165 89875\n2529 11698\n2957 63699\n91874 98468\n76265 90459\n86837 92447\n34198 56715\n13825 29961\n8224 54522\n7389 99874\n65258 68299\n29097 84158\n65077 72710\n46615 81798\n61034 89178\n2841 14018\n5793 25516\n458 87359\n29197 91137\n42985 74057\n79344 81698\n11030 94055\n19609 44160\n34174 69914\n31021 63454\n39635 50667\n33612 44689\n75939 87968\n7723 38801\n23344 34581\n28795 92396\n41491 81092\n31232 91752\n41447 96311\n42487 57130\n17993 53326\n75546 98813\n19741 75071\n678 72993\n34068 78170\n72255 81734\n11488 78940\n45668 71297\n65977 71518\n8969 50853\n28424 70000\n20564 48262\n10317 55570\n23312 56360\n474 97847\n63016 68146\n7068 34036\n5968 80240\n16143 17952\n44117 75915\n45436 93047\n21550 41153\n25573 51764\n8188 35545\n1072 70791\n4678 9149\n25139 43001\n76311 98191\n41251 65940\n9640 75496\n50569 66980\n34464 61340\n9212 23844\n6011 46089\n35974 89483\n9708 47631\n81325 85047\n17105 78455\n49096 55823\n3048 32565\n3248 61207\n93468 94075\n54072 84161\n58380 78652\n40140 96890\n19676 47562\n44572 78425\n83103 90794\n1754 12204\n38009 92566\n21378 30468\n8758 9293\n93 68794\n845 45392\n50363 74123\n20576 39545\n25820 65895\n10626 81136\n73547 82228\n16400 89234\n21350 32185\n53927 85541\n2939 75619\n3946 72154\n36282 76851\n620 7660\n23668 65249\n24337 71540\n53976 77695\n42798 88509\n13999 99244\n27025 84654\n43535 55247\n39459 67315\n58398 96085\n42422 67992\n2769 87489\n23997 60180\n63512 70562\n86892 89091\n772 91520\n6019 70630\n35178 57897\n7708 79593\n30120 36218\n14545 37978\n39640 48771\n20535 92536\n11125 92644\n25797 70691\n19345 88607\n24922 53882\n17408 76583\n55295 78136\n39942 74080\n19815 73314\n30501 95023\n32430 99993\n2498 75364\n27487 98612\n40733 71677\n30728 81559\n86011 99650\n80785 98188\n66394 95123\n32116 47506\n25155 99492\n2653 27617\n8991 37933\n50851 88789\n31765 60941\n49023 79491\n17449 83830\n3880 5279\n37807 41503\n39413 52706\n18305 65547\n22907 71914\n64514 70603\n25728 52319\n75262 77503\n608 58033\n7273 55670\n18347 46295\n75137 95955\n48538 82018\n3927 20191\n3070 89647\n2355 54747\n29597 94234\n85872 85880\n20972 91097\n23537 24336\n33057 73916\n7673 73140\n55665 80036\n48570 94778\n30332 94791\n19703 66708\n2120 49804\n73000 91971\n19686 79702\n38076 69088\n56337 64418\n55168 88736\n21440 37341\n29962 91186\n811 3376\n37705 74461\n6547 10379\n39488 54065\n1317 23419\n90 52412\n19938 62749\n6878 53519\n55782 65129\n57535 58823\n7928 99241\n34408 62605\n76269 79074\n6677 59188\n73007 95020\n60203 64637\n14039 33803\n873 36048\n16161 45842\n34724 89356\n9880 55599\n64566 89027\n1066 50802\n51770 76057\n49723 65199\n17514 50121\n50101 95351\n7655 51189\n23243 81088\n88352 98953\n32411 41850\n53891 58315\n45791 85515\n42563 62422\n37409 59969\n67021 91361\n41336 92958\n356 26233\n11479 88184\n11137 90792\n95014 98638\n65606 79996\n56797 88213\n1287 59651\n20729 33277\n11590 97387\n8080 91118\n49303 97033\n28285 58487\n22179 62521\n393 62065\n27921 58027\n68056 79464\n36025 90186\n11440 37006\n23839 40958\n49626 59263\n7688 31333\n6579 73744\n3034 46229\n75516 85004\n30666 36475\n2750 26413\n7558 91256\n28838 97425\n74770 88953\n10012 73026\n52907 54560\n10370 67510\n64818 97582\n3564 97081\n36311 60426\n33262 63766\n45355 83190\n30782 58432\n22572 67766\n1249 23157\n65830 80141\n29019 61223\n2275 86101\n14219 80893\n76118 81417\n4737 36440\n17089 61091\n89062 98381\n45266 66344\n10145 70104\n12767 93770\n56694 97181\n56120 57542\n20037 61408\n42465 65266\n7564 53954\n84797 98464\n44556 78800\n54602 93259\n24403 90244\n22169 83640\n30318 74593\n62200 71295\n14596 14676\n63388 81844\n14476 31790\n89218 90010\n320 79812\n53058 68841\n27506 86877\n8504 62125\n4856 17696\n21711 66295\n65627 90847\n33852 93419\n54214 98611\n19490 40262\n79044 90883\n68024 79793\n38696 76834\n49066 86661\n47906 61572\n36743 82153\n75968 90177\n16822 68047\n3181 63098\n67456 76273\n20763 74538\n33967 63700\n23167 89522\n5211 32719\n26487 51666\n6665 93206\n30975 38794\n11918 30512\n47066 84709\n8840 88421\n32161 45895\n53226 65416\n11323 54512\n44061 56591\n25950 71638\n10324 85966\n41365 92873\n52041 92901\n26318 70698\n23486 49410\n13327 97579\n42213 60279\n8798 24327\n7302 13780\n53231 84350\n61525 97448\n31079 65876\n43328 99316\n32408 49450\n17894 40612\n58923 70403\n24368 75501\n15384 90565\n49833 65498\n29972 84851\n20492 32568\n21936 33118\n64108 92603\n16074 17985\n14407 78505\n7093 62675\n33307 66944\n86870 93094\n66426 79889\n31897 96169\n86806 87449\n67120 84081\n97533 98229\n59166 73725\n71773 90811\n7498 63543\n67925 70249\n30702 54089\n14730 66117\n72868 99322\n18028 78671\n59895 60572\n52290 91830\n89721 93106\n29146 71925\n39630 86982\n22516 42417\n84708 92931\n82793 86824\n77287 82079\n26186 60038\n21818 61623\n23249 46210\n17018 25990\n82875 85378\n50237 65369\n54846 87658\n6335 54907\n96542 99751\n21407 98590\n37226 72686\n51261 62296\n4208 21118\n48959 77620\n56548 96615\n22108 31273\n65081 71041\n11835 54520\n39295 84610\n37173 39112\n16845 93951\n24239 94948\n3474 14704\n19955 37461\n29029 41706\n5665 52202\n21965 46686\n18585 83432\n44018 59544\n2319 66818\n48097 75686\n97849 97913\n7526 46647\n14764 84880\n58067 73464\n35344 84200\n63873 88190\n42745 83257\n43318 73836\n5570 64609\n9817 57583\n10500 18579\n69834 79376\n37579 95499\n33095 60461\n30070 91185\n4301 98032\n68773 92826\n16090 64529\n15633 81680\n16422 57257\n17960 83663\n13931 63207\n83369 99914\n48217 97805\n334 66662\n10851 87073\n24325 75698\n33298 35232\n12823 81512\n36550 38750\n44774 69294\n41837 57254\n4188 4873\n2967 33906\n43458 59910\n35292 77589\n5508 9016\n12771 22490\n59511 86001\n17527 38865\n40191 94048\n13873 96536\n20236 23959\n83184 97710\n38278 81996\n40000 69939\n35508 51349\n973 33602\n2421 11729\n5527 51711\n88688 89427\n91693 99287\n8775 61400\n34531 55799\n95207 97759\n25317 60130\n58150 64614\n55769 95863\n60953 76924\n37623 51589\n15640 18619\n45645 95011\n21584 97018\n25184 55900\n54778 65344\n11428 32620\n47360 96375\n85872 91271\n3958 55169\n4358 41883\n18982 95450\n29409 73655\n19719 70885\n31695 93419\n8860 11936\n80642 95945\n22735 63123\n11043 12340\n66935 75329\n25098 97983\n49294 54994\n30093 80224\n18544 37615\n30925 69980\n18523 27925\n27074 78934\n51317 95527\n73231 77593\n81284 94371\n23419 37091\n36260 52396\n7357 30914\n8509 61002\n2706 66397\n76437 87250\n88997 99056\n8929 53188\n54445 95989\n63494 97988\n21299 87135\n4373 90915\n246 93375\n20007 78883\n64784 72174\n5680 33845\n30709 88040\n13113 36453\n10022 61855\n37733 92935\n81671 85146\n46001 73147\n30522 90658\n18756 33732\n49595 81934\n44355 47030\n42317 52357\n31208 98273\n11958 62462\n16075 87077\n50392 77592\n25987 50479\n49464 74223\n21682 26731\n66080 91349\n24130 65610\n31440 40387\n83097 94414\n35039 46822\n42694 97991\n21104 90287\n37170 88369\n36073 90407\n28768 52469\n67195 91159\n30492 53390\n25863 79304\n32846 36631\n6948 65852\n45881 80294\n25185 98578\n91654 99315\n35726 56526\n29708 88538\n20743 89410\n1192 36268\n23905 81329\n12619 94844\n71905 73131\n29295 34590\n36164 61619\n52665 60755\n46056 75396\n98054 99020\n15884 28167\n76453 80101\n21739 33112\n51359 55334\n35108 39362\n6518 98701\n44771 81840\n55965 88462\n35144 86695\n61720 71189\n20193 81778\n39483 89336\n83267 87346\n3787 46210\n11033 84418\n6969 54031\n44407 85179\n41201 80118\n37446 47450\n41042 65373\n58889 92723\n91797 94609\n43071 43380\n36794 66992\n29148 39383\n19918 73597\n4890 82903\n46834 86440\n22487 66653\n11202 55429\n42534 93893\n61484 94642\n12162 23774\n76374 79152\n2411 84948\n36142 94799\n51610 65866\n47489 51730\n23418 68083\n74424 98262\n65226 78235\n17232 67458\n7905 87966\n4041 99994\n51490 52207\n45330 63329\n18780 92394\n32171 57342\n3595 49652\n1458 37261\n2212 78877\n47364 87237\n28779 68950\n121 76016\n38005 73558\n29971 72263\n5096 32952\n7766 88226\n83121 91690\n5627 80749\n13747 47697\n8791 55028\n8594 28789\n14428 74465\n51525 59085\n6558 62879\n27054 83039\n37466 40370\n45349 50075\n22935 61823\n13873 72889\n44140 58592\n24247 64607\n32499 69240\n37159 56442\n65131 93347\n39891 93334\n9308 32214\n48076 70177\n20115 97482\n47584 82896\n67759 78489\n46510 67960\n28411 48974\n60714 90435\n28228 66559\n54308 60173\n10821 71531\n26242 69855\n53964 65866\n1342 94594\n76517 78091\n1240 29172\n25455 63029\n23044 71300\n21272 34040\n46541 95008\n15144 60208\n13902 56437\n48289 66883\n27091 42935\n70007 83503\n24130 45584\n11052 23338\n44074 94701\n17335 30281\n4087 35454\n20800 49711\n19601 62918\n79643 94555\n17280 61455\n38222 59302\n69898 94394\n37477 86449\n10592 12933\n28797 65783\n44498 46194\n25274 55755\n32155 45221\n22735 28302\n16724 17467\n21884 59748\n17842 70169\n46111 48561\n44422 85315\n12151 43931\n18479 21537\n4189 65721\n12237 21649\n38301 95599\n40974 74209\n65588 90847\n822 48829\n81787 87517\n32977 37443\n66696 96212\n69352 79927\n45690 71564\n32720 51787\n66190 83805\n35768 98064\n8858 29281\n32696 59899\n12244 24274\n26970 33720\n26440 94486\n25480 63559\n61333 70801\n85888 92079\n34862 86324\n58463 70777\n83684 93568\n17351 28007\n54639 99860\n7190 10210\n55501 91797\n18235 84429\n39718 57581\n73218 87786\n40695 54395\n66740 96926\n1380 43929\n55129 78290\n17663 95315\n5820 65263\n70288 94791\n9723 39034\n1129 45343\n1911 76798\n16633 71204\n5895 68594\n27619 59888\n46978 88982\n48207 63022\n78272 84381\n44335 79544\n75091 94037\n83311 83860\n27300 35879\n71396 91885\n59735 96881\n58917 91103\n50231 50869\n22767 42412\n21253 57606\n82945 94602\n19735 19837\n30931 45763\n15748 54652\n23327 45475\n34908 71877\n61170 74219\n7909 51627\n12248 46026\n17869 29530\n3714 82338\n56227 90548\n13921 77426\n82850 98728\n41895 51367\n922 97880\n45714 99998\n22268 64324\n32814 39087\n62224 72972\n7208 45847\n6279 76000\n29860 84635\n27500 47329\n49828 80546\n3597 88395\n4192 5540\n21765 95792\n71578 72682\n52412 82764\n13050 27104\n14207 97743\n14507 27384\n75815 83286\n59211 83396\n66282 71780\n34397 86418\n24257 36214\n12983 80194\n44694 65852\n62172 74115\n15988 55445\n573 22161\n41967 52514\n9742 97633\n2535 10577\n65403 86628\n16172 64387\n5346 16242\n30165 82776\n44314 50323\n29298 86044\n32236 78322\n49844 77058\n55782 71725\n15875 35691\n84791 98155\n46799 83224\n26140 40110\n69417 80343\n9310 52016\n9828 15401\n33635 58482\n40634 70156\n48401 73532\n85908 90753\n18618 35519\n11696 80813\n60320 79280\n45646 87589\n30485 93365\n56730 61769\n11132 48241\n23091 28505\n35729 44877\n61208 95364\n14769 77100\n10645 86808\n17643 43521\n38008 97846\n4162 41089\n7450 43042\n14015 72828\n50528 97001\n65382 67678\n11035 85273\n37728 79615\n9782 80727\n3749 88525\n9739 56040\n15913 24241\n64726 92305\n1299 43520\n42383 92112\n33125 82415\n53967 80714\n2030 94135\n9681 66241\n54763 72378\n38657 43339\n49298 84335\n58084 71454\n42973 76018\n38372 39886\n49610 80855\n39781 96960\n39781 94656\n9428 85179\n6486 94102\n24907 50985\n70296 86666\n40706 58810\n41839 65434\n7920 93075\n35423 47630\n6620 22190\n56822 83667\n34626 79445\n84342 93966\n18642 81966\n59318 59554\n21137 71827\n73168 79531\n20652 31195\n7922 55978\n13523 64181\n44574 81409\n86337 94564\n65675 77274\n4725 17948\n44280 64648\n12154 56171\n1171 37464\n6846 58722\n13948 36749\n42596 48260\n76112 91467\n28558 89059\n69139 69861\n26529 83021\n56653 92018\n17835 70362\n891 27620\n361 9661\n19536 35594\n23940 74335\n28399 80395\n3353 80632\n31455 86316\n66628 78003\n7527 75581\n50405 60454\n21683 55438\n48183 54511\n77968 90384\n17881 25875\n39267 93323\n54292 87037\n27796 43605\n1944 69203\n11639 44155\n69337 97832\n41714 66029\n10664 61394\n33047 36979\n14810 36616\n35301 97526\n7092 46520\n29614 55692\n25079 77040\n51373 60645\n5577 63571\n25437 49922\n67659 89390\n74335 81026\n33887 37387\n63836 89934\n33431 63164\n14045 87717\n70677 99198\n40087 87554\n19826 55775\n29183 65186\n34016 68835\n44329 48675\n65405 68137\n35068 96120\n46515 67634\n57556 64745\n29936 77534\n86581 99987\n14130 76548\n33982 72734\n12274 94416\n3862 80649\n82593 91472\n11073 69555\n19696 46654\n27490 31804\n42637 99152\n54198 95738\n70702 73662\n25370 36937\n10000 26617\n59450 67242\n48910 99043\n56158 71569\n68689 92065\n33700 67859\n77906 95308\n44105 81481\n28288 88726\n750 65431\n80740 94070\n59178 79617\n10901 37568\n50800 59095\n17744 66731\n12718 88885\n17724 90877\n27107 59967\n33859 52213\n4097 51620\n60903 78572\n4493 66848\n55413 75414\n5771 91844\n58833 94031\n13947 93628\n966 62778\n10559 35165\n73129 90760\n58136 77737\n14822 21911\n35970 48565\n33346 78010\n34494 98125\n43330 76258\n26411 74384\n16212 93599\n66437 75434\n64996 76748\n25827 59121\n23551 39587\n52019 56284\n2813 41558\n23992 42778\n19536 55049\n53585 77356\n64515 80052\n3524 89385\n2219 6250\n13075 92950\n7717 44729\n29029 43019\n24677 54418\n29142 74416\n38221 49302\n82254 92091\n16357 73962\n51968 53871\n27499 80896\n7154 57105\n60402 69045\n74389 77226\n11261 54520\n25835 27336\n3541 86248\n52979 84402\n33294 96316\n7732 77335\n36060 74062\n8320 63936\n30338 62000\n46469 91338\n23956 34332\n56003 79413\n33505 36894\n10429 65028\n12940 30627\n24084 48152\n60347 73844\n36511 38490\n46517 54491\n55741 92306\n58356 82436\n30595 65745\n48997 98671\n21163 82598\n73249 91084\n3865 25559\n7608 18892\n221 84600\n65370 66832\n9554 41260\n91090 92319\n10637 63640\n81722 98764\n5958 36533\n28135 64754\n87755 89889\n12213 43227\n36093 96754\n25352 48783\n79652 98183\n8589 30971\n64246 91266\n16583 99640\n47852 98790\n7732 62326\n73298 97728\n28765 43456\n9060 9949\n32777 47143\n18052 86990\n1253 82504\n78813 80843\n19716 49527\n36711 60434\n495 55601\n29005 84240\n22235 64706\n59552 95223\n26960 71501\n40140 62945\n5713 67811\n64475 82634\n6111 84721\n36304 42159\n1397 80248\n60088 73894\n41013 87064\n27461 60546\n79890 82308\n37258 96988\n13859 89766\n26833 75284\n17871 59204\n14269 89643\n52678 72189\n44549 80812\n35830 83938\n41527 59147\n15551 53114\n23726 58617\n41161 79510\n50085 64445\n46641 70942\n33669 36733\n38744 90437\n21238 92312\n38377 85755\n55344 56955\n61427 97167\n56081 80884\n8663 45225\n51222 74841\n32233 58630\n72977 90511\n14144 47133\n8198 68223\n59530 85658\n5686 88253\n31183 33735\n11851 42419\n87511 97289\n13013 28509\n45483 76864\n287 12160\n55831 93770\n11081 40350\n2202 6215\n52626 85171\n7074 83220\n28263 54552\n88352 97674\n27761 55975\n30524 57216\n32403 60911\n81540 88148\n312 41286\n67000 79689\n2750 97257\n86230 91377\n56429 88487\n37954 43825\n12910 94331\n50953 81406\n73691 94539\n67687 89312\n24300 31210\n27505 37780\n19933 92665\n19901 89729\n71621 99226\n10929 92824\n16971 88309\n55725 94236\n44999 46355\n17891 52639\n37000 82676\n83366 88329\n90959 99965\n37159 42489\n8150 79719\n14922 91932\n52166 56343\n60096 79176\n18092 89668\n68377 99835\n98477 98581\n70217 92133\n9860 30186\n22569 63855\n14885 30708\n71572 88921\n33991 76212\n6314 36085\n37925 77891\n17937 94362\n43617 79493\n21416 63748\n8759 14436\n8915 67094\n13255 64896\n29730 54797\n44107 49164\n39236 53916\n23313 45589\n80179 88774\n19482 55895\n7889 14299\n39411 72534\n10834 94157\n3935 87808\n2641 3336\n61727 88187\n13669 59334\n11470 99268\n82954 88713\n78365 92990\n17907 79156\n354 91406\n58376 73595\n49979 53284\n15854 30531\n22892 33257\n15802 76357\n3793 22171\n8927 61547\n62162 82565\n20663 88522\n65234 83691\n24743 33185\n6770 50369\n40191 61673\n54734 70117\n27436 49061\n69221 92426\n18508 46978\n11566 20728\n12379 84355\n26042 41908\n27844 50651\n19574 49569\n7831 68141\n41362 75734\n34688 37217\n29738 35958\n70364 97124\n4730 41025\n12740 50740\n34136 61950\n52867 89202\n11835 48030\n17286 59217\n13626 73114\n56152 59123\n72843 79928\n24619 78693\n31455 38145\n87141 96002\n26079 46991\n87555 95708\n25046 98921\n6320 63517\n9733 77145\n17768 47305\n13113 86496\n73234 85354\n2285 59213\n7707 57464\n57728 66776\n73105 89970\n34445 36321\n18679 68009\n46357 66868\n63937 67342\n35699 55918\n37526 96017\n12977 71539\n73305 89421\n10093 34764\n19479 22336\n3132 9271\n49965 71647\n38431 41758\n81665 89771\n14880 83197\n18408 30206\n2155 10981\n32303 49230\n39307 71101\n9063 40960\n28656 37611\n13986 73545\n25466 52495\n34317 99573\n46613 50580\n7149 52743\n16856 25198\n59002 94035\n1831 76257\n22119 33626\n2027 12458\n9198 43883\n8674 75882\n27609 73543\n46176 80984\n68249 95329\n60506 63077\n86748 93440\n36477 73508\n36788 57166\n48141 72295\n16615 50222\n68286 93562\n56931 82508\n6395 36866\n36388 49660\n27306 94280\n37590 65897\n32258 50541\n11473 32907\n1055 79991\n72581 99558\n57608 92421\n28617 48407\n10256 16707\n41272 64767\n14673 48536\n46645 63138\n89116 97676\n14962 37821\n2387 48804\n65208 93868\n46993 56643\n44830 85435\n9322 91071\n3009 78007\n82246 91203\n18684 73543\n31052 71134\n75395 84351\n43406 83078\n33692 79425\n5430 48869\n16604 75233\n29202 70470\n1244 13982\n15544 49172\n65970 78327\n34898 95581\n12171 70939\n18379 24153\n4092 67344\n62250 81861\n33058 49989\n9378 35921\n56354 77457\n592 86186\n621 9501\n19748 48069\n64468 82346\n25980 77480\n18014 78689\n5582 20797\n58746 70152\n10249 14960\n26671 55302\n42415 94198\n6105 39222\n34452 44426\n12716 28599\n7327 79564\n30129 57759\n43160 84955\n50205 93214\n3563 70808\n71829 85421\n55075 84828\n37533 47235\n47453 55700\n46410 58136\n42042 43830\n15294 88704\n11643 80945\n29545 78497\n3204 42828\n48816 67140\n80478 83024\n35544 38620\n17383 26399\n32035 34572\n27534 58564\n38474 80026\n26651 43662\n57198 81871\n33270 74817\n41955 99567\n38068 39731\n49434 70391\n8356 71610\n7992 84236\n19179 77361\n70291 88815\n1554 53615\n37863 94852\n37106 93525\n2214 17734\n21961 58558\n9150 81291\n59011 86879\n69985 89564\n8946 23346\n20097 81413\n2159 4064\n17564 30415\n10050 53785\n24896 66406\n79982 83461\n39259 54689\n7450 84841\n51024 99859\n20528 22163\n4093 60544\n3950 11888\n28490 52878\n28901 67886\n38295 92751\n21943 86041\n12524 72437\n35576 48514\n86136 86177\n4624 12071\n13065 76498\n8580 46681\n73174 80158\n43346 94203\n35330 46227\n24824 32637\n2680 33129\n24790 37458\n87968 89264\n38610 41177\n10143 62977\n2395 17204\n2469 17235\n69720 74649\n8934 77871\n66629 84857\n23256 94016\n3414 36207\n3049 65934\n37206 47017\n35199 89161\n44424 60155\n11766 86229\n732 4626\n19474 57644\n40170 56106\n32753 40208\n6893 36653\n12201 86264\n85623 89803\n72263 79258\n2093 64341\n10546 63127\n47479 78273\n3890 20761\n25901 53529\n28938 38228\n3264 37269\n290 69377\n61696 95171\n47140 69362\n18602 89140\n63819 68781\n48148 77069\n5504 51159\n2100 78126\n34346 93022\n64522 69508\n24342 78102\n35926 70661\n4273 33792\n38355 61398\n4996 64641\n12052 64711\n10475 52967\n33480 83041\n38014 53820\n13913 19512\n10733 81938\n66031 69053\n28136 98284\n35333 45734\n4851 61536\n27087 43264\n26702 30569\n57325 85215\n61266 61864\n31854 59340\n2680 55090\n29211 93286\n11521 42319\n48341 92682\n33380 86787\n61228 92827\n40786 87128\n19327 24602\n33294 93745\n176 8318\n7866 81418\n31958 67730\n17494 75238\n23431 77075\n47171 70081\n24066 30954\n37333 66818\n26234 52377\n27100 45438\n62773 73149\n38495 62051\n9353 94934\n13436 78469\n42442 42926\n33351 70040\n8936 71762\n67319 98017\n9181 39267\n14487 82385\n14355 23940\n75607 96780\n83562 94076\n30074 32288\n17229 32636\n232 32587\n787 16133\n14637 66409\n63453 99542\n19269 85877\n14756 59645\n17042 43366\n36533 85431\n27284 57473\n36093 55702\n32711 57828\n11141 79987\n67593 74678\n13987 75392\n24915 94336\n23505 33540\n50196 76511\n24620 65574\n35841 85723\n33737 63830\n47803 90177\n42204 81124\n43031 99786\n42819 71765\n21776 68385\n14546 87352\n27163 42816\n76149 84451\n9776 69427\n12800 49676\n27933 36424\n4243 91156\n12975 48378\n27716 94170\n25336 67069\n47045 58027\n37066 50168\n46839 74617\n41608 55555\n24002 58924\n31633 76200\n18028 18505\n16396 25501\n30117 88502\n62848 73450\n4038 9243\n9303 52976\n6796 31706\n76953 79449\n46155 70049\n49621 50867\n10554 58577\n18680 48068\n52432 80596\n23063 85714\n16917 83412\n62133 91872\n10485 13107\n5023 65334\n10838 61411\n2469 72798\n37057 41032\n47343 80919\n42045 65390\n16087 32316\n29326 94472\n9777 59423\n32749 85902\n10688 12787\n58139 77947\n6874 68938\n12126 96885\n10002 94966\n14130 98728\n43603 44107\n36158 43387\n23022 49133\n25553 47462\n24430 84055\n1272 57280\n67531 77478\n80340 95664\n68835 97466\n65304 78016\n34465 64226\n18052 64523\n7235 85855\n57208 73939\n25577 67852\n4749 13102\n51507 62612\n6964 95674\n74789 75998\n27450 92299\n21626 91523\n76830 85680\n5913 52716\n4907 74261\n39582 92018\n11997 30725\n25685 99949\n31156 96310\n26553 97137\n21674 75250\n93409 98922\n46125 70019\n57122 60935\n47233 55337\n13716 51875\n5419 95448\n6252 63756\n37223 84872\n6801 82540\n9487 67431\n40792 45630\n33851 73429\n22511 91501\n36361 62040\n40732 46655\n44903 73848\n67202 93200\n9621 50765\n76817 91435\n51039 77324\n30345 58995\n49807 68644\n15013 16453\n24142 62906\n36671 53388\n21624 64350\n16688 19742\n12982 40495\n91009 94289\n19240 34155\n51496 79248\n30593 61727\n38690 91615\n44197 93878\n4157 37487\n12353 35727\n7527 13344\n27243 91180\n11680 26392\n66519 98916\n33989 91988\n3763 35919\n19446 53810\n30650 94558\n27997 40976\n56201 88586\n7888 88245\n16840 48763\n90461 96101\n10233 29499\n24104 36730\n21866 39723\n23747 43255\n11826 89121\n59993 65825\n10315 70576\n51194 60691\n65852 67729\n31764 44773\n26625 94307\n21591 99720\n51967 60793\n48015 67319\n57110 82777\n4427 22189\n55689 60824\n53417 86851\n5710 43779\n21384 84544\n815 45634\n62910 80161\n15783 47760\n121 12520\n55751 70815\n68918 71363\n6800 51585\n8467 64871\n44554 51393\n72929 85500\n20637 61211\n32863 44419\n22215 71714\n14239 83964\n46244 92788\n65381 72948\n52471 82500\n50138 59728\n61328 96703\n65563 85501\n15944 94973\n13362 85238\n10299 30558\n95339 97193\n27526 53520\n10907 59780\n31416 94691\n6121 48624\n58628 94751\n9683 89276\n32721 77545\n60345 73050\n44181 70365\n31325 66316\n10707 22340\n53859 98847\n79765 95573\n78263 84720\n28752 97613\n22992 49147\n45856 79697\n54571 65957\n75517 92519\n34255 53360\n67064 95167\n84408 84553\n20139 76019\n34261 95485\n13666 20610\n22015 86913\n14750 27414\n35388 77588\n32950 40828\n22564 92108\n94429 95771\n36515 98643\n22428 41648\n22293 88533\n56357 73946\n57515 78119\n30836 74921\n45630 47831\n35390 43178\n812 40221\n7172 39879\n74000 84432\n44120 65835\n16091 94038\n48246 55676\n70749 72917\n7815 24146\n17102 46927\n7193 91802\n40698 60419\n68192 69685\n41194 72978\n40378 90635\n16682 49153\n50421 91195\n31040 71310\n51870 56165\n35358 73573\n37702 84467\n2298 96883\n70115 72895\n33271 44451\n49662 72919\n38678 88060\n44283 74672\n18014 38474\n78134 95756\n76480 94664\n12598 73869\n753 39213\n11864 65580\n91577 94449\n22463 60903\n27485 60564\n24417 89231\n13348 13641\n6846 39896\n33933 58181\n22572 86829\n47862 98091\n47329 50251\n2019 54603\n18225 55034\n41329 81628\n30890 65151\n19806 72135\n32310 67131\n33732 34790\n1937 25410\n19041 55540\n48657 99690\n46400 71327\n77828 84696\n41282 90251\n48818 60946\n14744 41042\n56427 94170\n77355 96485\n34505 81453\n1613 31514\n45651 58915\n76578 88659\n46461 83498\n52369 91566\n72259 93287\n37415 52823\n22127 74896\n29851 62471\n20923 93398\n46522 47834\n72709 74531\n56468 85316\n23326 71740\n76940 82905\n21804 33699\n20134 38472\n52310 60186\n17965 91544\n28835 67323\n8526 76980\n3162 55625\n25201 79179\n38666 88252\n18613 75334\n9763 59521\n64429 95420\n5599 33444\n45793 56222\n46145 90865\n43032 51426\n61250 65332\n5097 71443\n29029 87897\n44605 53352\n34235 77294\n29115 53136\n18315 64319\n51905 88076\n12982 51264\n662 77507\n36859 60769\n2378 47363\n81520 99108\n27293 68942\n20200 88816\n36472 74995\n16358 30808\n51146 52415\n69341 83025\n8954 46174\n17410 78201\n14867 28317\n16248 19046\n11676 81862\n35531 57629\n27600 65699\n46501 86621\n38009 98368\n26680 90070\n89169 89567\n7744 10296\n22697 51708\n46107 70869\n42684 49612\n50091 88556\n3121 21400\n59055 96629\n29913 32441\n21592 25855\n3041 29790\n27036 36872\n35568 42980\n60034 68297\n29578 84401\n47807 79782\n7659 26163\n50513 83110\n74454 99671\n32055 46235\n1239 94284\n1674 85947\n63263 63367\n8029 96337\n11997 61105\n67804 77274\n3025 25493\n15938 42827\n14701 96173\n69823 70349\n48934 62598\n20246 48847\n15391 40107\n16801 16995\n11986 36889\n50116 73587\n6245 62873\n28755 66456\n43782 64410\n4115 15432\n10810 25297\n30130 53522\n20352 76467\n20285 79594\n63447 77246\n37601 83132\n11409 38512\n47559 51879\n11503 44728\n67678 72071\n42244 71731\n23036 65680\n5461 40558\n42286 64408\n19843 64190\n39356 95924\n11681 53751\n81428 93541\n7197 34131\n3564 27779\n29867 83153\n68067 83278\n44269 78555\n13595 99209\n26457 35454\n44915 61269\n39854 49232\n46045 98722\n21761 29009\n18517 77324\n5412 44900\n16400 28295\n28420 59550\n59361 92981\n74376 87367\n36537 99468\n38364 95795\n5210 73173\n53526 54995\n60108 66704\n862 25503\n16978 76670\n23544 46008\n18703 36666\n25106 75371\n9493 22659\n50005 74636\n43497 69760\n10341 49216\n56094 72191\n10771 92681\n34881 63265\n55658 75263\n23827 24043\n89420 98604\n32122 80363\n52475 79543\n9624 98366\n52924 61317\n30570 40761\n111 57560\n26262 91888\n28633 50915\n31387 35520\n45155 95495\n38508 77427\n83447 89518\n2227 45441\n52133 68551\n2917 14376\n18030 95724\n45528 64840\n37644 78742\n48508 95314\n34298 76413\n5550 28063\n7715 13245\n34555 96616\n88202 92760\n92517 97442\n21274 37077\n37225 74913\n42507 84593\n8131 45699\n2141 36606\n77149 88845\n21190 39857\n51386 93959\n46012 97599\n3387 19271\n58307 97557\n49782 92971\n50419 76144\n8474 78691\n71142 97398\n22428 28363\n41304 48957\n24618 90193\n2912 66369\n45909 47192\n20398 82985\n23913 51490\n23148 76241\n19316 37832\n42185 77687\n24520 76616\n27890 80652\n11592 17760\n32008 88940\n53140 94526\n6220 34828\n5414 84414\n2537 58012\n94698 97048\n3647 76212\n1902 88357\n74438 87351\n46508 81972\n54183 80130\n21730 73319\n3119 89208\n40881 52989\n51921 85291\n8285 44964\n12276 26855\n10183 81684\n30797 79481\n53601 94268\n33823 52316\n46579 72619\n77591 94724\n2879 20041\n5570 81388\n51916 66066\n10745 16964\n975 76151\n21330 23863\n8821 73088\n20244 48782\n20326 75500\n55229 83243\n16108 82838\n65759 94208\n12371 24925\n13976 25695\n46164 80060\n25453 50321\n1694 2183\n50671 62616\n31174 77736\n33415 53940\n30908 65222\n80144 96012\n60600 91661\n3089 33301\n25070 83813\n14966 40710\n33760 79085\n64137 94760\n69272 99875\n37482 47178\n22823 99690\n18983 73520\n3904 40789\n33653 60543\n17080 18498\n20971 61432\n32002 61775\n22438 80550\n16943 18528\n70040 88594\n29010 72304\n34288 81107\n34190 44990\n7043 38916\n54687 72425\n40152 55080\n44325 47695\n22419 38950\n1451 99580\n75036 82509\n19000 38749\n62006 93268\n75 2522\n24969 72146\n20222 71723\n24283 69346\n34438 76147\n58645 91073\n46646 62011\n97570 98594\n1105 47504\n15369 32172\n57521 84217\n39369 47561\n41164 96808\n17170 30212\n10454 70793\n6730 92417\n10873 72274\n4253 22589\n20987 46045\n4628 55255\n69658 85343\n1572 57046\n16626 17720\n21138 23548\n43806 72273\n77490 89074\n47163 75733\n3818 62819\n72327 89005\n86954 98622\n45938 48201\n82661 95732\n22771 40804\n49805 92915\n9921 18401\n32388 78422\n42728 51076\n60338 90226\n32774 79669\n33322 33405\n38578 95404\n3408 18812\n1157 48121\n22421 75826\n6947 79902\n558 67004\n40032 63007\n11762 30390\n11711 25035\n42937 66363\n38227 78300\n80565 88061\n47886 98961\n11100 91316\n5088 11962\n86697 94408\n17724 61901\n49721 59286\n33955 43381\n29774 73447\n60083 77829\n7015 42959\n23987 94331\n7416 54466\n66391 98844\n26312 35053\n16221 65286\n88402 90874\n16510 36287\n4961 21011\n51102 84567\n36448 77051\n17618 23837\n58104 76108\n89176 90738\n32580 90912\n62339 62351\n54091 65839\n29934 87515\n25936 56222\n19345 61334\n76317 87004\n65517 70660\n585 74946\n8286 92662\n49294 60674\n8989 74988\n62622 68469\n65011 95440\n31363 96777\n25425 60531\n12240 46928\n24963 27669\n3457 84427\n20670 66634\n19025 36994\n71690 91209\n57256 69294\n37876 48218\n45098 61950\n65593 73863\n8189 25273\n57474 59556\n44661 49560\n30339 92723\n5412 25817\n39668 65798\n34061 90113\n35270 37582\n15878 95715\n23158 46036\n12931 21678\n6159 75657\n13797 84085\n38552 93958\n75677 85094\n36327 45681\n86345 91428\n34924 96827\n14562 90009\n26192 31867\n40262 52633\n72743 74441\n12591 80985\n61408 88801\n33103 42239\n47698 71530\n7450 8744\n20299 56785\n21531 57455\n89349 92978\n79803 94715\n36991 95998\n37420 44723\n3606 50793\n39425 93406\n35792 41593\n65049 74550\n48072 58891\n33106 59381\n13090 89382\n38178 76934\n235 45858\n25196 33045\n19214 65367\n88411 96860\n37130 40518\n41597 52228\n33920 49295\n10628 55702\n77405 81883\n55080 67760\n84441 92299\n82619 92116\n2673 64443\n87106 99128\n3804 62450\n29012 76021\n41035 84631\n60978 96452\n67033 89268\n2972 3488\n48515 53610\n1500 34993\n11188 31274\n47720 99467\n71075 94613\n6727 89335\n29025 71794\n16402 82309\n6963 71932\n40953 83455\n70780 73983\n2166 66827\n30401 35002\n37257 52929\n12031 32833\n330 18066\n56701 73935\n40084 46762\n1999 79093\n19671 55465\n29857 83037\n13633 28219\n20365 76532\n52812 91572\n30509 65468\n28704 36234\n58201 65655\n25428 32491\n2779 99460\n59746 69398\n50835 52263\n43435 68048\n24211 49568\n8124 83084\n3897 20986\n35905 46514\n55399 64479\n22655 57747\n91759 92212\n57623 57908\n49693 63701\n3878 25005\n46550 76491\n19583 67492\n79279 98433\n29537 73912\n11948 90989\n62154 95267\n6023 27073\n8925 13260\n19190 90254\n35216 50791\n16604 18980\n4990 35485\n428 5846\n43305 63744\n11889 89862\n22745 90822\n94195 94466\n676 10226\n77092 99287\n42621 63025\n78457 94119\n33056 79991\n82159 82425\n17787 81836\n82361 92200\n35584 42549\n32316 53994\n62741 86144\n31926 88922\n15703 40848\n50336 99050\n32654 58875\n45036 52787\n3456 40036\n21448 25011\n32590 76694\n24795 49228\n28211 67562\n43584 80875\n54772 69509\n5732 67574\n4137 75478\n8858 97301\n71453 89456\n4987 10732\n27474 42682\n58086 90312\n50314 57297\n65478 93998\n21526 98005\n29309 84007\n13353 79207\n28280 47973\n15953 30928\n31036 51991\n65903 80543\n37540 82023\n19319 64272\n38127 67396\n13849 44011\n31641 39595\n55481 73182\n53347 64576\n10200 96941\n7337 27471\n37103 46982\n83004 96929\n35168 92636\n21814 51465\n44048 73602\n9864 82091\n10618 11656\n47559 91427\n12904 20609\n13420 98210\n28605 66492\n29190 86059\n56248 60440\n24387 38060\n8011 32969\n1619 65210\n30461 65697\n39573 69596\n1618 57862\n40068 84768\n6122 27162\n26111 51089\n25821 56918\n38877 61246\n12235 77348\n52313 77056\n89770 98267\n11784 40753\n54776 78458\n10935 80885\n39166 86355\n26723 58117\n17381 37874\n5661 66160\n3416 71281\n34530 96943\n5464 71735\n24922 77617\n21818 73062\n35988 80166\n53838 79133\n40480 72522\n56067 75961\n25488 94115\n48435 62980\n61028 85913\n70064 86075\n82673 92558\n49425 76404\n35384 93489\n14818 78582\n23112 91285\n18789 48702\n59200 73249\n19327 66853\n75652 99313\n64825 72350\n36108 48201\n4008 35012\n57811 98875\n16356 59322\n71441 93748\n30567 76256\n16434 51226\n41961 43035\n5039 98854\n9459 26620\n16847 71721\n79460 95057\n18650 61440\n54392 64282\n27078 88075\n2928 62294\n3362 24803\n56458 71267\n69065 77463\n87131 87444\n29393 33246\n12609 41498\n68166 87173\n32078 81278\n71981 76203\n30737 99409\n2807 95345\n28608 38286\n34758 46855\n24525 27926\n1504 26155\n40503 60872\n18455 63172\n13703 62014\n249 13929\n11544 39772\n50905 73792\n30700 83261\n23323 29993\n71737 80783\n58093 60743\n6605 49390\n57810 92336\n80474 81776\n28181 34399\n5519 81211\n37650 83004\n7286 43790\n2833 79456\n26520 79934\n12945 37637\n57556 98379\n45498 50637\n36259 49988\n11841 18412\n60392 89945\n82347 91117\n6535 24869\n30595 87372\n52612 95498\n40367 66709\n45986 57701\n42488 99485\n55288 70348\n82729 95615\n6044 65547\n7785 50778\n22889 67320\n49054 81996\n6991 37875\n69579 71446\n22659 45521\n21209 40939\n44726 87662\n29387 84826\n12426 31398\n26702 57486\n53674 91511\n90765 97851\n15352 47635\n10054 68299\n61691 85889\n3233 73088\n24940 25891\n33766 50203\n21019 53604\n38360 42883\n62345 97841\n27103 76018\n20883 67795\n64143 77788\n17209 83765\n52172 99968\n24063 73172\n6494 89064\n67750 69912\n39397 91714\n11978 56498\n46222 78834\n1255 60464\n32041 45061\n86461 95668\n3311 96062\n47698 47989\n16656 32263\n68884 88548\n68901 85354\n5796 62054\n82902 93679\n33196 63303\n79132 79156\n32381 66198\n16620 96545\n62474 92170\n39607 59325\n11509 61881\n36058 60975\n19409 39557\n3124 10335\n71975 95943\n21494 44110\n70258 81152\n6212 20414\n46886 85082\n28807 74854\n20183 37450\n27554 87356\n46930 68646\n15464 21879\n30719 80756\n11062 60423\n9960 49095\n50808 88006\n51039 53257\n13720 87573\n1397 11912\n60213 74054\n13115 22581\n5607 53415\n20348 89906\n59896 64803\n29346 78489\n60471 87752\n14650 21449\n20480 41979\n30842 52388\n19298 94697\n17200 50447\n42689 58311\n44121 57444\n12297 20283\n75104 94973\n4761 60951\n26113 51473\n1013 3921\n40625 64828\n50647 92773\n13706 86564\n51952 73044\n16675 78631\n84975 91260\n16780 66651\n58669 89155\n38964 46186\n74440 79077\n13737 46336\n33664 37164\n3982 46190\n30648 73801\n63557 68408\n49728 93455\n10953 55909\n6924 31369\n59018 93213\n68458 93177\n24664 55584\n1197 33839\n13904 34071\n25656 89723\n27246 92816\n1162 7084\n37830 84276\n38091 95162\n38677 77436\n5585 64347\n2898 41420\n22690 92138\n17032 94855\n36144 72323\n570 26421\n79459 80777\n63324 76499\n52471 63937\n66178 99230\n21944 33185\n14308 76113\n46388 99938\n37132 59426\n24908 25744\n70199 90971\n11108 50462\n1375 19450\n47852 62559\n5091 93866\n47443 63129\n48138 59161\n57232 86177\n10282 97166\n7690 94625\n14642 28355\n31864 63494\n28986 97579\n57487 82105\n51529 51536\n79993 84323\n59583 88950\n41080 80555\n62749 81261\n85740 86790\n43021 75412\n6839 41107\n11804 79343\n37945 80564\n7571 95654\n29659 75597\n6109 72501\n91003 96127\n22585 77991\n26799 76227\n22261 67256\n26944 50460\n83269 98644\n81965 86170\n10878 42915\n29662 49471\n10180 51496\n57838 90019\n53746 87250\n40921 79760\n85147 99776\n65303 80703\n59071 75175\n30359 86367\n10928 89584\n22095 27891\n41450 81502\n29608 58825\n25432 41882\n47994 97807\n85691 94595\n56647 95190\n15559 58164\n15014 60883\n43524 87587\n2957 81713\n6266 52374\n39324 49834\n15563 27341\n11695 85574\n53688 56928\n17346 99970\n32697 44199\n19813 56433\n14111 93063\n25156 81301\n33298 94899\n1008 80084\n5636 33084\n40938 66051\n23414 61341\n35404 55868\n11121 17450\n46717 49117\n22641 64411\n20056 23988\n19571 46411\n81212 98219\n28917 33801\n51659 98881\n17660 50243\n27555 82815\n8538 43466\n61526 69514\n11818 41059\n65762 66295\n6881 9961\n27498 68766\n63762 93934\n5612 6037\n15528 89080\n28261 52620\n22249 60158\n22626 29688\n13989 41354\n23474 42479\n6612 16582\n33763 33934\n3457 42420\n67934 79699\n6906 17219\n49052 69271\n77350 81073\n2216 89372\n54252 65498\n59814 78886\n6280 61057\n27377 80558\n66790 69933\n38671 48032\n31746 87495\n83866 87207\n71068 82828\n19409 86792\n19993 49833\n21460 78147\n52924 85736\n51560 59660\n2550 37884\n75560 98500\n73948 75829\n35468 83596\n4844 51193\n63188 98925\n497 58694\n16993 83956\n49895 69650\n6200 82501\n23091 71659\n65136 69884\n75979 83861\n13561 54691\n39941 59526\n19028 64292\n3576 83382\n26707 90071\n66580 99520\n23172 94386\n51409 80300\n11789 20671\n58875 75404\n57377 87814\n19601 74189\n25091 30073\n42951 73464\n68871 88914\n22259 22693\n49630 52391\n32001 79821\n84779 99798\n52464 63905\n14299 66326\n32477 83280\n57646 67302\n23689 93193\n13357 62780\n23655 60945\n29892 68788\n5784 73353\n21998 62017\n17016 89424\n40215 89704\n75139 92687\n46500 53638\n17902 50869\n61954 98568\n40618 82245\n17120 87379\n16364 38376\n13152 25564\n25936 27149\n2954 50566\n50112 97222\n16236 52402\n23105 53189\n30387 52138\n60257 90766\n15223 55113\n17148 83438\n7186 71113\n12025 54862\n32341 61124\n21905 25905\n45267 52525\n2160 11999\n73011 88836\n12100 82384\n73241 85724\n57441 97258\n1004 78314\n48788 99886\n16216 44498\n33261 59956\n10017 56428\n39185 65501\n19752 66189\n478 50625\n3539 14362\n36203 51834\n8512 18551\n42890 49956\n14086 31688\n1944 71767\n28541 66073\n858 5413\n21757 41488\n8461 94548\n107 90925\n5160 47765\n41294 97875\n5393 52480\n50074 59617\n40847 84273\n6816 13378\n9475 37057\n50382 76703\n36096 80878\n37227 98407\n46494 55439\n58635 89440\n3695 73066\n32549 71672\n35322 56288\n5009 57753\n21383 93604\n29223 72865\n55015 73885\n8600 41442\n48705 95023\n5964 6045\n19415 55231\n38958 97425\n22011 74075\n26958 89348\n5545 78484\n54827 69436\n30376 94357\n20501 27217\n45817 67233\n29872 39247\n43970 70792\n57538 73742\n16898 92478\n6884 26721\n77121 79071\n42106 47829\n13638 87870\n78358 92274\n4826 65351\n57000 62807\n43051 54464\n52391 70116\n18897 84389\n19319 23240\n44144 92286\n38606 57033\n25116 63165\n11499 67202\n22796 26833\n46097 87044\n35483 46065\n43098 62783\n16653 44172\n10251 84502\n11342 91799\n28628 58193\n53682 96305\n12829 89478\n3007 15285\n4726 57168\n66304 68494\n1482 60761\n17501 56049\n24263 60682\n52103 55345\n7403 20473\n32325 73693\n31967 75953\n53626 70362\n43661 87304\n5826 29608\n77148 86358\n11745 97020\n36770 42054\n22231 61693\n17035 37395\n21476 92558\n5707 65380\n28309 91199\n3528 16190\n33478 34715\n18792 73924\n15053 27662\n39690 66817\n60661 63200\n17632 53233\n11831 19661\n43152 59339\n50361 98361\n56617 97702\n11803 86325\n2127 98944\n37420 42649\n46003 80194\n35274 44459\n47367 64786\n44565 92671\n23840 49409\n11531 30777\n55624 99152\n18539 77446\n48449 87431\n7870 46955\n30195 71246\n41504 87977\n1463 66606\n1482 37350\n7539 75705\n20854 74841\n76892 86015\n48742 49534\n32506 73203\n30292 88632\n46973 66035\n4551 53081\n27827 72275\n93456 98792\n15825 75799\n49298 86181\n73125 90960\n65361 75422\n15327 44348\n42999 51200\n51993 58345\n35169 35791\n3310 71417\n2057 10815\n68387 72222\n84787 87370\n48173 72517\n79635 96112\n26502 81701\n30227 96258\n33140 99362\n31862 97712\n94227 97320\n12681 30174\n79305 92541\n9537 73664\n47981 88591\n36204 82511\n2046 50428\n1721 39373\n59900 97246\n42752 52409\n88883 94145\n4756 29720\n5564 14487\n18038 43574\n40354 50055\n56316 92103\n23289 66421\n36312 81713\n21377 87719\n16883 75957\n11570 26589\n608 44553\n43450 71083\n37065 45716\n49941 88887\n42659 56529\n11413 24481\n56219 60550\n41446 99834\n1931 86270\n59785 76914\n18416 84746\n22468 85622\n13041 54450\n30370 37599\n24982 38696\n43890 53525\n18429 54248\n27109 41230\n35528 96783\n25529 44050\n29240 56875\n21010 40874\n74044 99467\n22883 66141\n7923 73437\n71609 94012\n70496 94064\n36136 92840\n10164 64980\n26601 87076\n26112 63426\n80506 93440\n15178 29201\n1872 53848\n62582 85074\n14039 83506\n25977 77441\n19965 88333\n28341 34205\n55327 78388\n57819 90568\n26743 34761\n75328 86561\n20208 43976\n15993 73123\n80510 88181\n82121 93875\n29240 79266\n4549 73576\n53098 59756\n28904 79242\n83878 90894\n60435 68571\n44006 83580\n84379 85615\n65014 78283\n32721 98986\n13214 31488\n5893 78038\n14644 31054\n31220 54739\n93897 94728\n20611 38098\n60661 92366\n69975 90493\n55130 67393\n16159 83675\n9885 36858\n32314 67545\n38076 78182\n22990 34700\n27463 87867\n4703 28538\n28034 44524\n37488 68081\n11355 82101\n31748 72675\n78747 89798\n8632 64897\n27440 33008\n81502 90764\n17592 20463\n3881 50893\n23717 99919\n18895 67148\n9212 90236\n11208 86390\n69410 72643\n53596 71225\n8162 56144\n5104 36015\n47539 59308\n2572 48689\n24513 89465\n69301 77797\n8629 41449\n18569 64031\n54976 67414\n24873 42297\n2982 58508\n22529 68980\n7757 79246\n340 81574\n26972 76322\n92661 96708\n10583 58003\n89224 93657\n81254 82903\n14997 97959\n28693 45442\n3099 56780\n85827 92283\n33347 44291\n16984 30155\n72741 75715\n38304 70266\n55725 60659\n38328 70478\n56314 78194\n31763 38542\n27229 30657\n20408 72653\n18336 80078\n37060 62142\n3313 95711\n15770 46560\n46276 90934\n16758 18271\n6836 24653\n6302 8523\n6884 85151\n34946 70077\n86673 98458\n16838 58830\n23667 33407\n14443 71330\n51289 81097\n53105 91197\n31510 44832\n56597 67585\n22637 69262\n16313 40788\n10761 15380\n20965 53928\n36866 97315\n60328 65109\n60870 88533\n69962 83143\n21746 98219\n13477 68993\n53791 56014\n30662 83039\n56030 85612\n43787 63367\n3010 95745\n54959 59837\n53568 88432\n41531 73320\n36198 58598\n194 52613\n58326 96856\n41802 43091\n41106 60696\n4835 84185\n31956 98406\n30551 72869\n56730 85848\n5414 80535\n51040 62974\n68233 92766\n7307 19046\n35346 93949\n23223 52899\n5969 67774\n23831 46326\n48876 77732\n52203 54517\n13638 55275\n69350 84532\n46754 72385\n15717 70737\n1778 81362\n28371 56500\n34529 68385\n637 5688\n8526 76275\n24659 32698\n9157 90939\n13570 64157\n12723 48881\n18703 69586\n16662 98908\n28529 95958\n38201 42026\n64338 85223\n17834 99364\n27142 49855\n30466 80983\n12417 65995\n31297 60721\n98331 98886\n20774 51736\n54654 95631\n58006 90776\n47478 53570\n42004 42878\n22268 85627\n15871 76228\n9357 23252\n16891 68029\n55025 93124\n51106 89935\n8694 22485\n32168 64149\n17778 58158\n3199 46198\n75202 90450\n36390 59491\n70401 90698\n21964 51191\n1928 92698\n34325 84117\n19979 91396\n16878 69746\n3266 44977\n6960 93714\n24563 34740\n35703 41432\n35409 49392\n1100 38790\n18958 70725\n28066 68991\n3098 4025\n5411 36570\n14813 61343\n30395 77890\n19668 27188\n45704 97538\n50662 99180\n92676 95311\n53733 92222\n15515 60736\n50349 60064\n18134 37111\n30289 90446\n16470 53342\n17477 59855\n6334 52732\n70471 82656\n9916 99232\n23613 89697\n816 97416\n21212 86833\n32410 70740\n12399 56446\n25409 75152\n88635 96375\n79593 91854\n54068 65807\n21442 93904\n75906 80129\n32456 77973\n319 11813\n40575 92521\n60578 60773\n49096 66067\n23133 55113\n41932 62487\n78964 90256\n40241 89100\n44486 61453\n63284 87055\n33040 63887\n45605 79541\n846 87610\n79 34424\n11576 56065\n73883 79661\n73158 93986\n12710 78697\n30080 61847\n21588 91005\n55693 87753\n28593 43495\n13281 85058\n29988 55885\n8398 21587\n27800 58259\n6299 32830\n21103 48207\n1582 3719\n13593 79150\n10502 33600\n11880 55452\n7153 7260\n37227 61968\n39545 43152\n16001 92933\n42740 86143\n364 23255\n64267 85342\n39856 59614\n29203 33292\n40278 50120\n4281 62774\n36776 69354\n77602 83251\n81798 90143\n6251 68150\n949 32913\n24539 72976\n62270 82978\n61452 72932\n15475 75065\n9497 91097\n56190 92412\n77290 82902\n65362 96241\n1517 97445\n52928 55613\n60318 96448\n35426 36901\n51229 68853\n49325 88780\n30659 97280\n44308 79089\n5209 37601\n44211 95921\n41373 54250\n4609 24369\n47045 81863\n18295 32557\n36545 90938\n12517 12950\n38382 71291\n57157 69154\n19852 30768\n13260 22387\n51047 70834\n8017 33700\n33010 99628\n36543 59233\n14612 19168\n1984 84159\n42990 94037\n44899 55485\n23630 46165\n10744 31132\n12989 64400\n30308 99891\n18194 90635\n46215 50616\n36849 96149\n44738 96677\n31129 96121\n59498 91006\n46230 88327\n10232 90956\n56944 98710\n20829 24253\n22426 28221\n27574 46394\n15312 86052\n38450 73389\n517 73189\n35247 58746\n8637 41832\n23758 94302\n7387 93600\n20649 58921\n32370 51057\n22148 57378\n48801 62657\n860 52726\n40969 94240\n8076 41584\n6701 16014\n24043 94092\n47871 63671\n18467 34547\n38184 94585\n41934 74140\n40457 65294\n51030 74178\n58784 79712\n460 18200\n9571 52911\n2639 63238\n50434 82685\n60548 88309\n58907 85651\n431 6610\n53971 60530\n48462 98735\n26171 77099\n2589 75650\n13938 88806\n10065 41194\n17439 33671\n59095 62319\n26238 99535\n29847 87778\n10700 82013\n39026 83380\n16580 24190\n21855 69634\n23184 34092\n24529 61762\n6452 27193\n17402 43805\n34942 52830\n41347 98179\n38624 92892\n21854 51854\n89842 96529\n15765 43200\n55966 74308\n6010 48284\n46732 90554\n12463 52358\n20699 53453\n59592 66310\n2887 46345\n47674 92649\n53894 92162\n44301 83672\n35171 58637\n57328 86143\n69613 98477\n3962 6172\n84211 97085\n33034 83998\n37927 91138\n40273 96615\n3060 50590\n16445 21521\n40615 95078\n11845 15224\n30178 91884\n72995 74738\n23387 80851\n76515 91890\n78454 91513\n15235 67474\n20507 34062\n87547 98753\n58779 94863\n17262 90900\n29033 97221\n9301 31930\n1978 54073\n59201 83557\n78304 94570\n46635 65046\n26840 42925\n65625 96272\n25379 82090\n21945 95401\n82548 97475\n2300 55213\n22209 80573\n21021 59858\n45807 59945\n10153 75431\n59208 82412\n83145 95944\n69178 80169\n7113 89707\n23112 35212\n28919 36175\n4466 75551\n1746 37768\n90989 95535\n73638 81046\n67773 87835\n30031 63563\n24362 31151\n52234 58674\n42422 59197\n45693 79421\n26543 95844\n88183 97449\n10769 48323\n13831 66283\n22835 61255\n45327 66922\n52016 82886\n3260 85632\n17243 26244\n34677 50932\n71837 81019\n31134 62329\n58791 68319\n38001 47406\n33097 42873\n8140 99818\n5658 80782\n64615 81199\n1419 37594\n31810 75513\n11434 76371\n11378 44305\n192 74756\n32175 75935\n20284 37378\n2640 89426\n42100 74241\n12533 19675\n6412 75452\n75331 95073\n75130 83509\n6350 9454\n13199 65571\n80025 97909\n3665 34443\n12637 42610\n92796 99078\n21234 36308\n6428 47241\n21248 27524\n27902 30703\n57656 74699\n52427 84729\n11484 50222\n10169 36828\n17900 19669\n54049 67123\n42154 42485\n6089 23003\n44690 76919\n2668 82245\n9110 13381\n40833 83406\n3666 50142\n47779 71969\n6932 34254\n13076 17263\n66751 89773\n33526 94021\n48835 73084\n10327 55631\n41853 42886\n60085 80811\n7376 12455\n49438 79564\n1450 76632\n43864 55610\n8996 93287\n12340 21565\n5075 33981\n25182 62615\n13556 16325\n20691 27484\n22629 51208\n90046 99714\n24496 58037\n38846 64758\n74838 83144\n35753 60037\n38266 52478\n5839 97279\n80825 85851\n22251 48389\n89538 99626\n11431 27747\n58223 63746\n15692 62224\n20018 21184\n28643 46708\n1444 61617\n48859 80016\n53057 73486\n7068 43915\n23339 36625\n4018 44675\n51797 90341\n58152 95624\n53949 92684\n76380 83409\n87329 99033\n1452 36173\n42896 94560\n27105 84112\n37614 59408\n35778 70208\n61188 72815\n80548 93997\n4445 16375\n19212 74661\n18265 78524\n78772 86388\n6957 97067\n11209 69672\n69757 91941\n42727 95058\n8502 51814\n23889 78066\n46571 78176\n46419 88576\n50120 73403\n52533 68492\n13046 99645\n64345 83901\n79149 87994\n33299 79639\n46160 93457\n35532 96533\n88478 91342\n20533 47129\n13556 14832\n11535 81402\n15425 21721\n48850 75359\n90801 97603\n9232 65829\n41213 78089\n36239 54450\n40892 82006\n14585 87210\n9585 82786\n26495 84549\n72148 72461\n27539 85791\n5253 76035\n472 83917\n31504 46755\n18742 90970\n25816 65549\n19837 91698\n14914 50528\n41423 60658\n12891 44959\n36542 91509\n21251 55286\n55221 56017\n6370 53253\n51894 82059\n71291 87608\n13462 31440\n77747 91009\n43602 87091\n26580 67165\n26597 63125\n15985 57366\n20257 96386\n38990 98879\n44151 61506\n12958 17096\n7491 77709\n43040 71658\n35592 84307\n74568 79100\n57685 83120\n59768 76650\n66495 79725\n30538 41538\n35809 97957\n21536 94297\n45510 78152\n3881 78495\n42522 82190\n8185 53557\n14233 18372\n56495 61618\n78996 84039\n48904 76161\n10427 97291\n18105 61874\n45707 82125\n24889 63411\n1327 53681\n30587 74693\n23457 57797\n863 40017\n5663 83839\n78897 95084\n19415 41133\n20736 84261\n56399 76996\n79820 95313\n18351 44855\n12270 73041\n57734 97693\n21865 66157\n21467 36851\n11291 54931\n11522 33405\n52143 56327\n5457 91751\n23746 72149\n1410 70835\n4498 65700\n24364 87654\n35751 62311\n62757 87616\n24011 59964\n80831 87589\n26810 30096\n43544 74175\n15905 79323\n41387 75334\n31911 70074\n4970 36959\n17110 38407\n7670 85849\n52812 80079\n82690 97291\n4881 89786\n78305 92696\n19226 31434\n27347 67430\n8473 66544\n72620 87248\n22752 79170\n14434 35934\n10617 73854\n12541 61861\n13675 53148\n18267 29045\n13709 96576\n21778 93282\n14431 89639\n48501 62066\n60500 89803\n65274 98347\n814 37262\n28795 86407\n651 43036\n15329 90184\n12177 15681\n61885 72628\n17867 67299\n3384 12502\n6963 33097\n33661 42590\n25241 31256\n33546 74842\n34632 92380\n25708 99516\n65023 76948\n6560 87904\n5893 44170\n4413 81358\n31544 45141\n68124 72968\n11431 81179\n4124 99518\n12627 93351\n33553 72615\n7075 16892\n51268 77974\n26263 98114\n57765 62595\n43663 73464\n34406 68361\n24401 62259\n2740 21979\n6995 61980\n36273 48589\n603 5803\n27841 54866\n44074 62910\n67445 67631\n70146 80066\n66024 85340\n71712 82188\n7680 53127\n21576 75342\n23647 61815\n4083 74231\n19562 56904\n22461 23030\n9229 55705\n14287 40254\n51588 89035\n7901 57421\n31729 78271\n13182 56261\n26579 84013\n43165 89772\n43578 98201\n22575 48370\n18057 65496\n60754 98737\n40494 85142\n4317 5763\n37191 46084\n661 18910\n24599 82930\n20156 94433\n24979 61160\n15898 37970\n29640 60586\n60122 68618\n24553 42757\n52939 54805\n19979 52875\n18699 31727\n76587 95615\n60017 94116\n95925 98273\n51937 58143\n24703 67867\n4277 7491\n4095 51111\n20430 23896\n34568 89781\n55017 67707\n74869 75667\n40939 47470\n43393 80094\n33426 95808\n5514 96922\n41598 50899\n7876 74312\n25055 77595\n48107 73225\n39882 58972\n33390 57126\n36776 97294\n11221 74454\n14336 21424\n21361 54982\n48394 63522\n32276 71416\n12286 65072\n20336 47197\n12180 82140\n67367 74654\n26412 84125\n45535 62242\n50098 92257\n46255 89141\n19608 65941\n16522 65301\n5106 17225\n21057 53351\n31897 78814\n22680 29232\n20128 45586\n786 67547\n50461 60452\n35030 92022\n68876 96373\n23317 56593\n44381 45124\n46326 50332\n21222 46932\n13813 88861\n76258 80923\n11535 83953\n18445 91455\n83655 95921\n76412 96832\n1118 7291\n17018 49030\n70185 81767\n60280 67688\n31027 48250\n35412 86643\n31042 69380\n879 52221\n27266 49753\n5000 64672\n44965 78140\n50862 55468\n84774 87225\n41249 70021\n16619 79529\n15779 57700\n53631 60192\n33538 96019\n37026 87685\n31280 79227\n12851 96377\n42910 57289\n7970 61423\n52432 70722\n7949 32074\n11167 31738\n68086 76353\n43806 68954\n59847 72763\n4921 48794\n32407 33968\n39330 66769\n15023 48547\n8144 29334\n44434 75553\n54824 63687\n37407 74873\n10146 20730\n72396 84161\n10136 56992\n36452 67497\n28305 28323\n2620 94051\n2481 38992\n22956 68870\n50253 54190\n89124 96407\n21100 61376\n25214 30547\n55495 98489\n26173 62966\n28894 68541\n23471 66289\n23125 63594\n40135 61268\n47405 82712\n26260 30337\n31734 37843\n73173 94176\n7313 59624\n79270 82801\n22761 63363\n3212 3927\n8779 66067\n14347 18718\n1485 78091\n22473 52163\n13612 47619\n15690 15908\n32593 49112\n43527 64955\n29074 69555\n26860 48102\n18436 83381\n9726 78765\n47839 80839\n2820 78211\n32682 61014\n66047 69243\n1650 10477\n25237 52640\n12215 30883\n1186 6361\n73269 79351\n66946 96073\n47509 85975\n14942 99692\n4940 55495\n10956 59971\n20974 74489\n11501 64628\n20180 35821\n28596 84784\n30003 56552\n17435 80774\n57481 73634\n75264 86706\n37988 60136\n6857 13839\n40128 64451\n42507 83138\n37478 46197\n24592 36215\n25711 95297\n58796 71034\n38837 86734\n77534 87353\n22711 79667\n34725 43282\n16637 76315\n6925 83032\n63811 92653\n18014 67624\n18985 75766\n63579 87300\n81570 92819\n14886 40481\n38878 65207\n41892 83770\n6738 98232\n31353 90771\n16820 87466\n3914 37433\n45804 92778\n62657 88222\n39379 82843\n49665 89334\n77715 98445\n34462 90201\n40396 50787\n51128 82065\n61516 83134\n41680 46215\n36412 98800\n18650 92933\n43675 84184\n40989 97773\n59290 64584\n9601 26023\n30101 74425\n61178 75591\n2318 67640\n32462 76952\n27110 55011\n2474 83724\n42887 45025\n13544 55520\n38150 84600\n19512 77611\n56983 77554\n42098 73346\n46495 64524\n6681 7323\n30859 31337\n58743 94805\n142 60404\n56379 68331\n74537 93421\n9340 54512\n25929 61395\n50650 97625\n43992 61886\n49846 54578\n26346 90044\n39344 96388\n82664 91175\n22448 95935\n83726 91946\n44799 44929\n21979 23966\n9141 11803\n86127 96668\n7042 97484\n23165 60512\n2558 43583\n38260 44016\n11357 93047\n35312 62707\n15986 32680\n61994 75769\n28585 59148\n27045 72404\n46668 65628\n64288 94007\n1560 57090\n9238 36013\n20742 54889\n36132 88260\n90 7337\n59572 65452\n58850 85912\n30725 97899\n27120 93251\n16643 31813\n26481 31497\n20202 86831\n32065 95295\n54083 98886\n21226 49548\n4036 28466\n22466 66658\n21638 22044\n32558 64921\n91788 92811\n30610 59131\n37811 49652\n9613 72884\n30001 45249\n7884 58388\n37445 88152\n48734 72574\n36772 42738\n4003 27191\n687 23525\n14787 99567\n17186 77316\n18588 99036\n52702 86926\n13209 94585\n41101 43868\n1161 96550\n47327 61645\n28650 87265\n33513 75686\n36414 80967\n404 76184\n40801 97583\n75664 86724\n31973 47857\n43297 82901\n66213 66825\n95832 98435\n13792 82696\n24817 82050\n1518 64564\n49629 81519\n8178 89157\n23278 43162\n6819 99956\n10184 63459\n44726 54649\n46578 92102\n38334 61007\n6181 95945\n18695 60335\n6186 36410\n65711 94008\n12895 75704\n34425 52688\n74723 77620\n7484 92734\n65631 68273\n3499 19068\n48582 49014\n13390 19196\n47235 92801\n22286 46057\n50176 77699\n27133 61091\n66923 94536\n54874 68289\n58364 79161\n34367 68118\n65490 90764\n77115 97649\n25982 29775\n73160 89676\n67220 70509\n5430 69819\n13538 93819\n30644 38363\n26516 27413\n35717 48267\n72559 81950\n32086 56255\n17165 84372\n10070 39903\n10673 20112\n3374 93805\n46037 48289\n65067 73958\n48726 52691\n10782 99589\n63435 94571\n44803 66300\n7081 83456\n25920 34200\n12274 49726\n36041 90639\n40615 70470\n15919 43101\n4585 41511\n36272 89354\n24611 35883\n58774 94167\n13174 66777\n44049 82127\n3110 45986\n42633 49901\n9284 80481\n4389 46617\n33698 86098\n282 30601\n62248 86417\n17 64702\n13889 53572\n77475 99633\n1541 76769\n22582 90443\n735 43017\n63994 71294\n41887 42049\n38283 85532\n73017 86258\n25607 91869\n34245 96949\n70721 78937\n35183 56109\n10334 82500\n65525 84991\n24947 86800\n730 99178\n86193 87802\n52889 88277\n1951 16491\n86292 97012\n54465 89018\n44586 46531\n23665 50451\n51237 63571\n4594 26047\n34726 56625\n7493 58061\n17291 69035\n75263 88527\n2733 49804\n12425 47228\n46380 94284\n18304 59236\n43057 92032\n6516 75873\n14880 26970\n40343 54176\n22299 92406\n15568 56518\n44682 96278\n33685 88816\n52357 86593\n15590 57090\n4246 8110\n2551 16575\n27484 56646\n18929 49338\n13342 19490\n21799 80254\n94844 95497\n17214 17807\n7207 20492\n28710 59341\n39467 48381\n43150 90609\n52892 55670\n29345 96050\n3619 51464\n2203 11729\n16108 47663\n40460 91285\n91117 98122\n15018 75672\n10194 14061\n3488 96781\n607 48883\n31423 33146\n14954 42497\n19790 79429\n33332 69642\n55030 81079\n22510 31444\n27788 96263\n25284 30688\n27449 69225\n31641 81548\n35760 72246\n15198 42242\n17865 38794\n20819 39137\n80284 81668\n47941 97785\n25278 50476\n38812 76516\n53537 95946\n24713 78924\n1380 7975\n37445 41225\n42767 55108\n9045 41476\n4857 21204\n19623 89750\n19252 79077\n61162 87904\n44872 81041\n5799 93280\n38588 47054\n14203 46199\n12582 63829\n76475 77769\n22016 63251\n57677 82502\n80013 91038\n49559 51727\n25589 65103\n63794 74842\n8291 59160\n9058 46737\n39717 75568\n38917 39071\n35108 52115\n41221 96858\n31785 89627\n28929 57478\n31656 50438\n54692 62466\n54950 87348\n13239 26090\n71047 98456\n12393 90346\n56854 58513\n41790 51461\n24548 82176\n8922 35459\n9968 51527\n31436 94768\n46306 54210\n25105 93664\n38289 68302\n38467 79961\n55772 60045\n2502 69122\n26585 91661\n61094 63535\n63257 66680\n87924 91803\n26841 83381\n3145 36061\n21084 86849\n40774 87642\n56247 88289\n69298 92580\n24389 87296\n10638 59712\n55079 68943\n22067 49147\n33029 48866\n32567 42495\n14747 96347\n7326 20519\n9883 10472\n28367 32783\n9105 93300\n24779 43845\n33296 85121\n5891 92737\n36204 55468\n28357 57035\n35170 37768\n23940 68883\n54853 81529\n11078 48847\n69001 93814\n47850 87875\n45675 80731\n4492 62910\n40949 98819\n25198 70800\n75382 88727\n8617 83570\n12583 87115\n54741 66752\n870 41317\n36083 68567\n18953 72285\n68451 90981\n140 32326\n7710 57900\n85589 93221\n32037 99157\n12110 16554\n44660 74009\n2326 79542\n50867 52478\n55643 86890\n625 46528\n25985 29398\n6139 45187\n58886 64919\n30492 33550\n51521 83815\n75447 80740\n62888 68920\n26421 81497\n16986 75605\n2129 38341\n33786 83856\n24490 83029\n89987 93627\n40510 75733\n2668 44145\n45039 77671\n44106 97823\n55519 84955\n11595 86795\n49964 54748\n24381 96201\n47245 81605\n20461 98073\n41591 67244\n10912 19279\n49908 59467\n38412 51828\n39222 47401\n8585 98183\n19039 47304\n28022 49772\n92130 99390\n45775 91956\n3588 6167\n8221 94395\n56948 60771\n92418 92933\n31306 35415\n641 48561\n25029 51462\n16484 48139\n15947 38376\n57356 90306\n45615 70613\n408 81723\n9190 38963\n1000 96152\n87669 93899\n20792 65435\n5802 54098\n35781 66859\n11066 35523\n72503 78670\n19165 42642\n18320 85968\n23316 86211\n4188 11024\n9628 59556\n47828 93491\n36356 93568\n7644 69435\n36162 94014\n36069 60209\n11120 22438\n14440 38342\n33410 38331\n54500 63655\n6968 91003\n4071 83663\n348 52842\n14273 86757\n15949 77138\n67365 67366\n28447 49691\n1454 23043\n75812 89655\n42635 81731\n60304 84873\n37742 73775\n6577 26472\n17363 98575\n30978 41115\n4140 72458\n62721 80906\n6648 8282\n26008 31634\n66316 73210\n23850 64510\n22616 34565\n41901 64921\n10494 48601\n30540 89556\n91081 96775\n87 74344\n2180 43900\n16542 63045\n34595 42450\n43405 67129\n22378 89699\n39100 50304\n75580 96466\n56012 80600\n44477 87027\n54444 90960\n45464 92487\n31343 56114\n19229 82740\n32576 86275\n40431 53532\n23967 57990\n2984 45548\n14301 89096\n45389 49708\n52500 91477\n26030 34831\n21033 31436\n46668 84359\n12527 58257\n36949 72896\n5498 30654\n37327 43407\n19230 32015\n38484 75603\n15215 16244\n54020 96397\n41107 69457\n42027 62634\n41013 93965\n2251 38397\n64534 88013\n67466 95377\n61797 91019\n34178 67696\n95342 99822\n44880 78343\n9700 48725\n2158 20846\n70993 79533\n2368 60428\n44510 90225\n23915 44538\n35111 57056\n24468 84498\n25675 31032\n4399 56680\n17362 84252\n49960 77984\n75839 93223\n5893 67388\n40518 98797\n6421 98887\n3799 90957\n36289 93994\n94163 94453\n73495 97602\n62892 98470\n61122 68207\n59823 98997\n9872 98323\n30509 46982\n21815 42678\n55135 98621\n36196 90730\n87799 95829\n72915 88366\n137 17049\n55515 91080\n34561 95996\n60613 84748\n15781 36285\n45255 73585\n86842 88461\n6748 92172\n37148 67534\n80596 91272\n21898 82584\n89875 91175\n38944 92383\n11255 62699\n12399 67789\n19638 22488\n27289 42764\n3562 5026\n63860 81343\n66483 70604\n7382 95455\n41357 91078\n35945 73939\n70438 95558\n54117 78863\n28910 63757\n15402 65221\n41233 68231\n4865 72635\n21487 44230\n43253 69473\n12784 63272\n74371 90653\n9022 57258\n71275 74710\n8432 22110\n75902 82150\n1906 83245\n36862 97228\n36634 56451\n79205 79755\n10740 14077\n20171 26403\n65607 67218\n50034 86857\n72762 90759\n45471 84158\n2461 97542\n6315 70190\n40067 79259\n19690 91500\n65116 83353\n36905 95423\n4023 39498\n31861 90882\n31213 52364\n9851 39046\n47197 86867\n19902 72440\n62565 62907\n6532 11495\n64713 86041\n9725 87398\n61968 73441\n27655 42730\n52012 70342\n69205 98404\n13854 61187\n755 26000\n85371 91468\n9972 38596\n4797 80317\n22086 75025\n2570 46499\n39035 83725\n15267 38684\n38388 70651\n49683 87113\n47070 56377\n41617 56644\n19247 24331\n4711 83210\n49493 84018\n7416 67619\n48785 66904\n15001 27311\n78876 88696\n60223 65753\n7265 43814\n44087 70133\n7184 82483\n62798 72190\n50053 80602\n2381 72663\n14015 23217\n31082 54033\n13771 63113\n39905 49352\n12879 25217\n28343 99544\n5888 49671\n10179 94599\n23045 32689\n34979 98738\n41106 43604\n24165 59444\n81420 83872\n27840 97503\n55514 94036\n25219 29011\n19592 50232\n22603 52304\n4895 41849\n43871 88746\n59825 63297\n36572 87979\n66529 94371\n20386 44255\n38034 87732\n29769 82769\n12854 79246\n8005 71713\n89999 95990\n26465 52392\n29086 80322\n8182 83443\n91684 93064\n5755 37000\n40110 51921\n1813 25725\n1551 45918\n16231 85304\n48962 77398\n50138 59160\n7142 38247\n22816 63357\n1450 88035\n65392 70672\n14627 55008\n41621 42995\n49655 57594\n29650 52996\n16206 19825\n47129 50915\n55844 61457\n9891 88673\n46099 60214\n25642 34348\n54960 69810\n44942 79631\n38394 68805\n17969 76757\n2317 46818\n44457 86705\n13503 78143\n33462 67713\n64735 93898\n79959 90292\n15785 27835\n49471 82474\n55964 68927\n67679 79967\n22598 77300\n61267 63424\n36164 88813\n19826 78504\n67350 81270\n26863 50607\n1492 30184\n2608 56588\n29543 99802\n30755 78060\n77461 94196\n70374 94926\n44573 98017\n84718 93912\n3378 15790\n9111 75979\n45459 97616\n24765 29831\n3744 8306\n30289 73955\n61934 84037\n64938 98342\n19054 82571\n26554 92159\n127 69983\n55238 73986\n30868 83396\n30671 71693\n49117 62875\n65138 82997\n60754 95937\n18474 60145\n33680 36392\n35076 84041\n45865 67205\n32750 61101\n918 7071\n60701 93842\n33084 89367\n7383 76597\n42685 72700\n16970 22037\n7520 45576\n3767 65927\n35176 67613\n16250 50719\n69209 70664\n14115 19703\n11034 84985\n27080 84688\n65230 71866\n53715 94162\n30234 33088\n9522 37107\n93577 95456\n36307 70447\n2437 34638\n10443 85153\n48655 92839\n1993 82028\n25364 33608\n15701 96564\n39661 72662\n54267 62441\n33663 94941\n15276 22438\n29347 73785\n5604 68110\n8785 37336\n22533 34829\n21096 62390\n30367 73859\n55822 92672\n20957 96946\n14265 55744\n32520 65600\n6162 16039\n6574 76552\n46263 70605\n21430 45445\n28168 70516\n14662 61389\n42007 70357\n32254 74979\n18349 67686\n14473 61166\n92736 98828\n6271 38769\n11254 82405\n41325 46156\n2714 38059\n6121 71949\n59522 85487\n229 33961\n15936 93072\n60999 77231\n1816 26883\n39465 78518\n28799 78066\n86956 92708\n15076 36786\n24156 86984\n23389 24890\n57526 99172\n11972 87934\n27923 78829\n15361 64673\n83135 84248\n52471 74027\n69939 82820\n75780 87533\n53034 68364\n28346 98157\n52601 62022\n51429 60093\n64760 69226\n26438 79947\n30336 90812\n18218 71744\n70772 88787\n170 25785\n27135 36277\n21086 46430\n1768 16423\n22708 88478\n8972 81653\n8746 61288\n52640 64423\n25791 86450\n21919 44336\n4025 89949\n73024 83828\n23678 61595\n2461 67872\n16316 62132\n47788 60377\n24537 47491\n26214 65060\n81633 97014\n21193 35992\n66304 71164\n64675 73976\n62814 92250\n52792 79667\n50457 54899\n27726 70251\n25247 62784\n27427 89354\n61502 96929\n53497 80154\n75431 81929\n45170 93298\n45732 91550\n34446 89091\n34262 41415\n47883 82273\n12785 29215\n19717 82058\n13948 14947\n44447 55622\n42474 57144\n41067 90648\n58330 95777\n18862 57852\n59264 96271\n2969 43242\n44864 46367\n18549 75242\n3928 33501\n46267 78444\n7509 99797\n2233 4388\n6400 27029\n10412 57115\n37159 83842\n40353 64773\n60873 92597\n3194 44492\n45480 79124\n41746 71624\n50210 56637\n90891 94985\n41728 86903\n34484 82171\n49591 90969\n51178 75262\n16520 79724\n36972 66362\n1354 81335\n5835 79530\n70535 85547\n70592 71605\n96472 98023\n36495 68014\n55674 56268\n25549 61097\n38374 68283\n56065 94029\n1012 62473\n20291 41872\n80694 99082\n37511 43489\n11689 44748\n98144 98778\n35184 55396\n56639 84854\n64789 74325\n46187 62757\n12919 43066\n62387 87261\n33923 41373\n26148 31593\n1949 48830\n78727 99143\n50140 64100\n13260 49842\n32413 54979\n45059 89442\n59756 86825\n47310 93731\n36258 75826\n4785 62206\n27008 96499\n31008 37605\n63292 88324\n9738 14526\n5956 7193\n1357 6824\n3719 94099\n6006 75204\n67312 70046\n11366 92533\n66155 69764\n49452 78345\n48340 74321\n26876 85999\n24104 47831\n52360 97944\n33381 90035\n31318 66822\n7052 56805\n22588 38623\n54653 95121\n17641 28411\n33275 78216\n39965 41128\n62467 88384\n16123 31371\n14384 44162\n16286 56767\n6506 82959\n30862 72030\n11729 81850\n60523 93762\n85668 92373\n24246 56360\n34611 98849\n23210 94532\n9027 83872\n20641 92658\n7305 46485\n14519 40818\n16435 35546\n6560 48266\n30314 32669\n38486 77006\n58167 85111\n81865 93409\n35017 87889\n55529 62587\n38471 40494\n51965 62954\n13747 43785\n40101 60576\n68733 93391\n42945 81610\n56873 80537\n23487 61945\n21874 58318\n56721 63481\n39268 48459\n47362 51984\n95314 99111\n56042 66319\n53850 69604\n9222 36465\n20237 45778\n47705 65274\n17569 32033\n11028 32677\n4569 45327\n31440 77481\n34395 79954\n7042 19525\n17176 43866\n52759 63127\n5695 39562\n77089 82235\n835 31252\n17133 18612\n59520 94275\n79033 79137\n23901 40590\n9340 78177\n12574 29616\n32140 48127\n4808 61202\n15180 69177\n7806 46724\n36708 94512\n86662 87588\n16331 57064\n12400 86540\n32290 94982\n16703 48138\n15597 54728\n5504 9539\n2057 59339\n54185 55997\n2692 33851\n52990 93698\n27807 48005\n69724 77625\n54269 87553\n19279 71916\n32618 58784\n70100 90998\n18125 26846\n1568 17756\n3167 81002\n73060 82420\n73941 87264\n80093 81218\n80566 93201\n39712 93995\n24947 35633\n82540 87791\n17973 55015\n66478 92411\n7994 25462\n40292 84402\n12892 75146\n53529 90047\n9551 29441\n43791 71236\n33032 75978\n39310 57265\n7535 36503\n16984 76172\n87172 93984\n84569 92371\n14491 21060\n16831 65444\n25407 67251\n50029 61724\n57759 62618\n61154 61314\n18971 91797\n75035 87318\n36174 73500\n91055 93929\n6476 33909\n2536 72432\n34659 61552\n7848 60696\n38301 89130\n47530 84653\n39037 88152\n20845 29514\n40468 65968\n53532 78836\n6044 60863\n77191 81133\n59555 97888\n41286 66340\n81713 96832\n1980 59850\n61764 66879\n60292 81563\n43177 89549\n10642 98501\n24172 60333\n56394 69995\n13820 79812\n31057 76710\n40887 60274\n14784 54019\n22 79202\n40400 61902\n47451 98664\n44785 87669\n76228 87401\n16196 93693\n554 73831\n25339 45758\n49891 57327\n38870 67118\n11855 95521\n48275 74076\n69044 77421\n6658 21625\n22424 40259\n11612 88836\n5077 49519\n10817 58441\n49537 71638\n54560 88199\n20930 39966\n4331 19203\n58273 75762\n775 95256\n62721 85516\n60589 75945\n43261 67614\n44647 84576\n82430 99535\n71980 83537\n43465 72618\n20096 74476\n18791 34927\n21920 50001\n35873 97367\n7515 41590\n23918 68570\n34704 35324\n55056 69487\n36551 41276\n49584 96857\n31858 40071\n48655 67072\n28443 86209\n16365 47506\n31141 31540\n38403 55065\n1127 41112\n64986 65724\n10302 65170\n58576 76097\n44737 62561\n33658 54515\n15933 53219\n18421 55974\n28560 67329\n67864 96799\n41931 81984\n54511 82101\n40297 57300\n32962 58039\n9090 77059\n170 1256\n93165 93657\n29920 64827\n5210 89104\n56066 63246\n4615 50934\n6779 90226\n22809 29839\n24316 46967\n38676 78668\n46349 74571\n9675 23783\n3684 39039\n19099 75649\n51067 61263\n52205 62833\n78286 93736\n36770 60870\n10615 74941\n48128 83239\n4679 83041\n30966 51937\n23039 29601\n72673 79332\n46988 48408\n65216 98004\n6803 13191\n3262 33491\n10888 23085\n790 19489\n34075 95587\n27626 69782\n20759 82029\n44189 46016\n53347 59375\n40476 80084\n16272 51932\n37643 39254\n31402 89172\n18996 31012\n51706 83015\n64901 80568\n3916 42342\n40737 94753\n79558 83378\n34258 67731\n30016 91399\n19527 78854\n5143 87331\n69875 84052\n34188 87328\n1153 90390\n2631 77734\n75005 91948\n70480 99507\n17991 67057\n26389 96418\n1730 18983\n8186 21668\n7520 26013\n77934 79838\n69979 81987\n6512 79793\n29382 36353\n39479 57358\n28722 62652\n59358 99061\n24374 77752\n64188 67951\n2286 57975\n50164 83350\n65431 88558\n62841 64398\n4568 53795\n10007 59121\n9246 85208\n49310 68419\n26314 95451\n28651 96961\n3750 29816\n10988 47603\n9592 39945\n49030 81180\n23756 86090\n14256 83895\n35336 84736\n42870 86625\n67064 72376\n36653 41111\n53721 86386\n4318 10023\n86016 86027\n69825 93711\n22772 37829\n36574 97961\n50502 58741\n30325 60001\n67594 91408\n12634 43943\n1521 78433\n1039 29257\n30772 75553\n77633 87733\n41910 43097\n26911 61590\n43765 56727\n9209 23376\n9562 46116\n85244 87746\n10656 40470\n19004 36423\n688 27119\n74287 91736\n34939 91112\n12472 88681\n57000 98841\n64063 85243\n29070 43832\n26226 69050\n40712 86256\n29852 48022\n12442 74824\n20094 77953\n10565 86288\n15021 37183\n69640 80379\n63073 83688\n2409 59673\n5103 64883\n1994 41126\n35483 65739\n60268 62619\n75838 83561\n50799 58605\n74851 87120\n7787 66662\n17729 24521\n51304 54941\n49745 78521\n10512 67622\n34882 71447\n21355 32514\n25007 31264\n24660 30529\n65602 68728\n17585 34867\n15501 55644\n16197 44975\n26935 55441\n75820 97159\n17139 68024\n365 7118\n40361 91177\n16903 61062\n72658 90324\n28391 47341\n21420 93665\n26215 56353\n31659 85612\n32407 41340\n22104 48538\n8218 48158\n21890 91115\n39366 76114\n84528 96237\n41002 99292\n18487 25948\n47618 72207\n337 616\n6706 15383\n20019 68592\n24272 61031\n1015 32157\n34877 85096\n52211 88974\n79119 89160\n9451 56964\n36258 89268\n89902 95844\n36521 46854\n41121 65393\n62898 89958\n22700 65762\n28666 35688\n40342 52213\n36880 97733\n3374 48601\n65533 72071\n11252 86683\n23152 27919\n71928 97638\n51506 92311\n18822 93701\n25318 45525\n57151 77240\n8948 34491\n1849 47300\n6340 93793\n11623 64815\n57746 99835\n24552 69721\n27865 50162\n3518 28208\n15738 85044\n20133 77819\n22402 74836\n48240 84474\n41368 87608\n27034 80484\n6206 61633\n35256 46787\n25508 80155\n42259 50044\n30019 63133\n24520 47786\n26381 26723\n36767 75526\n15566 18387\n89678 97099\n32173 71461\n36380 41221\n66467 87681\n36491 77949\n3644 17889\n15973 17540\n70036 83744\n25064 49094\n10740 60917\n25965 42318\n55547 85021\n11875 81995\n36339 52993\n80288 94601\n19048 30077\n21371 52041\n6563 84539\n9131 82398\n64192 72914\n27683 43400\n1144 18901\n78042 84367\n72817 91983\n45074 83381\n27643 42976\n47311 80823\n3678 91585\n33881 87002\n25468 37916\n21755 27754\n53283 67290\n71486 87218\n25974 36680\n30321 53078\n47664 76077\n11795 90442\n2233 80493\n12483 42835\n24731 78959\n88297 97680\n82464 83192\n40513 62824\n24584 78069\n28337 72329\n23635 70740\n14570 44575\n48386 67339\n14231 18065\n33883 68753\n29518 32603\n13339 58582\n43261 92640\n27295 51394\n42525 80088\n9475 43071\n84006 97766\n29871 40269\n2967 51358\n58193 86578\n9221 22978\n78314 88839\n72499 81115\n15506 84827\n56944 75071\n45580 87058\n80011 89081\n8293 62606\n30553 41891\n39560 54837\n26709 41737\n70787 92679\n31631 87018\n21930 33418\n35 26906\n641 3467\n31176 96324\n39073 54977\n5481 51085\n30090 66726\n82478 84765\n89037 92323\n36375 50890\n32593 77411\n14775 48473\n15240 78046\n17977 73271\n28885 51993\n42195 56576\n30456 71398\n34392 44478\n79758 89413\n40091 91159\n29464 95953\n36096 63550\n26380 99966\n15038 19603\n21333 70643\n18283 92542\n85865 93848\n59189 97351\n80100 81306\n33414 39391\n42518 87501\n25969 53383\n2288 49032\n27966 79846\n3606 6162\n61010 92095\n20315 87801\n2742 89101\n41620 67845\n24049 39084\n22205 79088\n57236 72455\n14338 76838\n85322 94957\n12674 70638\n24905 59657\n27210 32313\n51012 80661\n22261 87625\n39082 62091\n61737 71806\n48538 48916\n37600 65421\n14201 24533\n10516 89970\n3467 10388\n13167 33784\n23004 87059\n19492 44686\n5666 17139\n28715 96936\n28062 87960\n56725 88330\n46917 49565\n76422 87797\n97767 97823\n42673 66751\n76023 81531\n25763 61881\n31548 61144\n46886 52607\n32272 56275\n83214 88288\n9339 20976\n6049 59823\n11922 55637\n81943 84093\n23565 92387\n769 95084\n2570 20777\n26735 39314\n25324 61920\n6404 16851\n17776 41219\n4938 24907\n19993 50200\n7430 58432\n50134 84021\n7779 52792\n76012 76067\n23844 53144\n7512 74224\n28010 55132\n17125 96507\n66505 99641\n7449 50420\n57633 79301\n21774 45202\n35594 61639\n39847 80458\n989 39907\n64462 79591\n23930 79302\n2098 48480\n86017 88718\n68523 94338\n29793 34469\n51037 86480\n1273 39917\n45551 59974\n27942 68934\n3022 7595\n47737 96992\n47025 71011\n22255 24296\n15695 85736\n34553 44245\n52507 61996\n16645 33688\n14031 42611\n76214 94018\n39340 80832\n23566 54436\n37207 50091\n25474 53775\n12818 30505\n52389 76852\n29169 97254\n34051 35433\n36179 83380\n75388 90024\n33871 79033\n21522 77277\n42874 82538\n16387 89993\n3635 49980\n63209 87446\n46436 71449\n59898 84213\n38313 40791\n8041 36126\n46090 48361\n18043 50456\n46826 92390\n37669 41497\n19527 55785\n6378 50933\n8234 73258\n43144 75606\n28978 69646\n2307 75913\n34936 51475\n9478 41071\n83689 93562\n50633 94069\n10122 84750\n8780 73102\n41182 97236\n22819 61572\n14571 88613\n844 17227\n64108 75432\n61523 66947\n38692 63045\n10753 92375\n17926 51853\n69527 89544\n8718 60985\n33831 57537\n29414 86789\n60288 62015\n10768 78875\n33656 59610\n14132 81970\n14285 24629\n1012 75700\n60968 77942\n61110 95073\n42126 67132\n52007 71823\n2688 5601\n49228 53793\n60098 72911\n71274 81870\n29966 71066\n25053 91378\n26500 26994\n33132 63286\n65436 70183\n75276 99556\n28719 44337\n89350 98329\n72342 83791\n23516 56311\n78172 88245\n67938 99814\n55716 73030\n3401 20137\n15520 23163\n69061 83531\n43714 44785\n37825 96416\n35057 85148\n96634 98505\n22301 76828\n66147 66213\n12164 90398\n52698 93107\n49857 85849\n37767 65105\n41364 64754\n10478 57256\n44554 76090\n11962 73437\n9390 32726\n36256 76294\n5145 34333\n21824 22519\n15699 32774\n45137 76650\n33533 92692\n56178 66731\n32104 65760\n27362 86556\n25360 82536\n59543 96678\n67310 95000\n21001 98685\n71432 97029\n17634 61498\n8357 90952\n48321 85470\n51980 73913\n28673 43276\n41594 99976\n61832 95772\n57087 96793\n75028 97323\n25025 63307\n90073 96412\n27730 78266\n42671 55775\n17376 99707\n62548 88487\n851 61426\n23843 71814\n7663 37335\n259 89322\n54127 64315\n30561 99423\n16428 35271\n74989 79686\n34257 98154\n70662 73910\n74317 94719\n15330 99073\n43701 90030\n4441 95463\n10735 26870\n24884 35806\n1768 61832\n2866 57262\n20817 63419\n60690 81621\n14725 44333\n2208 10261\n40892 77326\n8255 13458\n33869 35982\n23295 68232\n82586 88373\n27395 76669\n36323 61524\n81799 88381\n25756 78615\n16895 89463\n36905 41928\n22118 30128\n64817 73900\n55015 68462\n27876 89798\n10367 88096\n1001 3775\n27920 41627\n3416 78063\n34676 35839\n79906 88959\n58405 73022\n37306 63406\n59908 99522\n18252 68652\n42025 65755\n272 38077\n38686 62680\n30678 95673\n38749 86064\n18353 80308\n19323 43074\n18178 78923\n80450 96678\n27480 93874\n756 26688\n12030 16443\n16705 58444\n25534 97279\n20148 27585\n62719 79631\n65307 97190\n5598 80269\n22163 67685\n2280 54161\n54355 69879\n73991 97022\n3155 95962\n11874 70544\n11582 29396\n43384 82932\n83039 83219\n18860 89063\n35528 68801\n17867 84004\n74618 85105\n53620 84831\n20799 98269\n26161 49066\n1651 11545\n52595 54108\n65242 96355\n89547 99263\n21661 79518\n1616 81163\n79484 90467\n25471 37687\n40571 68102\n6051 49125\n66662 87823\n46463 56012\n46905 62826\n40393 45658\n26661 67234\n23507 58292\n25684 85143\n45426 76701\n35449 48121\n26518 92191\n46200 73560\n75196 98472\n83264 93042\n33842 86195\n88218 96019\n9287 93010\n12014 83183\n57083 95868\n48904 59977\n48339 60548\n76980 91400\n34438 73339\n9167 34597\n81556 90313\n26369 94504\n56497 61749\n87701 89335\n29589 49545\n23763 53530\n43768 53461\n57501 97982\n36601 82321\n33790 91005\n39522 42331\n45915 62758\n39660 90671\n58196 58400\n4993 20180\n10913 39796\n20007 30088\n14535 56034\n57568 83272\n995 14243\n52487 96533\n34973 74606\n29899 60102\n16932 58218\n2984 76222\n10852 13940\n56409 83285\n22421 34772\n32314 69264\n5424 32888\n26156 63787\n10757 19739\n46695 59845\n24508 92855\n507 44548\n27870 33289\n16320 52109\n8069 29122\n15571 80774\n18082 34012\n30246 69407\n39103 89845\n24917 76614\n8032 43838\n48212 66061\n36522 56522\n2981 53176\n37360 49349\n36254 58459\n11188 26684\n5731 57495\n42505 73459\n4215 55381\n39087 44599\n86805 92795\n33228 46994\n4072 86130\n63221 75605\n9190 58816\n63324 80439\n57810 64311\n19227 38402\n44414 95934\n80536 91565\n4906 82824\n32672 56536\n5120 92825\n43083 87552\n38117 63058\n32180 54764\n16115 96502\n22221 82211\n5446 85218\n13070 37887\n33188 84846\n40946 93038\n10102 99844\n91847 92245\n8981 39953\n77820 91816\n7369 97711\n24821 40686\n37234 39497\n43108 85321\n35029 55229\n28187 60479\n49138 98795\n14515 84997\n39978 68770\n30599 47393\n39532 79046\n32332 91256\n38947 91047\n125 67366\n221 15015\n36213 55828\n53419 56694\n50163 98129\n22903 37533\n64905 73447\n21930 44490\n20491 48510\n62048 74194\n35392 51116\n8151 59757\n68230 75019\n28961 70988\n6883 29777\n55101 96788\n12011 23342\n45795 76292\n15474 31206\n89699 98131\n18481 37364\n15590 88119\n15412 64320\n57944 67826\n89362 96877\n76873 79945\n55729 78559\n61013 61045\n84603 95100\n55824 91423\n34734 76553\n86082 88093\n10014 64128\n67928 73813\n76265 90810\n14443 47937\n67127 82649\n77038 95087\n35139 98721\n36782 90980\n22161 52894\n37360 93507\n2899 30350\n235 13339\n40078 76715\n39190 84484\n25071 74779\n41170 58384\n28976 78711\n23563 84636\n17465 97628\n12694 15255\n11494 40084\n10582 86627\n15722 24011\n20777 73675\n28441 78578\n23938 87801\n12802 42983\n17332 18504\n33625 48903\n2347 48299\n67634 93790\n28252 59136\n22543 59999\n56413 86036\n46123 58558\n17398 25488\n81947 90329\n59394 63081\n4278 41118\n25889 80875\n16723 28005\n95227 98320\n12378 30712\n83483 90329\n80937 94601\n45770 86578\n920 58670\n14894 89196\n4412 64410\n18250 91267\n56344 77741\n3780 39557\n19508 32519\n34496 89442\n51485 72205\n49549 94198\n8725 38200\n60340 91580\n50613 80699\n1182 42188\n46987 99457\n8705 87134\n46678 94264\n64511 95819\n18156 46161\n68163 92759\n78528 81848\n13754 26643\n88231 98023\n221 2432\n45181 96446\n9892 11136\n25674 62524\n74066 75439\n88987 98081\n5126 37580\n18296 71128\n1881 53570\n74106 98893\n45474 85344\n57916 72606\n12518 64417\n30085 92296\n88604 91151\n22004 78403\n78503 99207\n70981 95646\n273 56454\n9803 87348\n50583 50951\n13347 71165\n25524 97448\n22222 39434\n20712 54102\n11806 46254\n69792 91662\n14844 47538\n60422 86033\n64653 70148\n50500 59319\n48256 97718\n57171 74969\n4745 56867\n66148 81266\n2764 20178\n8102 75509\n6097 25170\n79234 91857\n9916 50536\n45357 52144\n25423 43581\n30204 96073\n79427 81768\n79127 98277\n78979 92646\n33102 35478\n2325 59133\n6524 51871\n2991 34873\n15026 51145\n37845 43231\n37287 92262\n17022 40148\n59846 70792\n80195 99600\n47643 83960\n19816 97571\n56131 91450\n8406 65328\n45487 62894\n26364 55448\n25492 36870\n25555 89816\n9912 16627\n61111 96580\n67182 69408\n60710 96770\n45063 81915\n8960 74510\n22796 58177\n25726 29939\n59562 68621\n20439 35714\n37061 77228\n52924 59401\n69771 98151\n25104 79011\n50203 51891\n15365 59038\n21841 95413\n28960 32046\n22388 85893\n14018 20244\n14240 32677\n52230 55698\n55457 81302\n79368 98753\n15577 23507\n17136 85788\n53777 79638\n68975 74689\n67870 99183\n55281 59308\n29803 84850\n40731 82657\n22400 35076\n41530 93485\n8198 21006\n21607 21973\n70346 92872\n14835 87521\n33818 65694\n5386 25541\n62178 84066\n2323 94686\n11338 58069\n29523 46270\n13452 92657\n67404 72178\n6971 75612\n9915 75033\n31979 51244\n11378 79510\n55207 80459\n43669 81326\n14625 89523\n36005 56257\n39718 54924\n10377 88668\n56846 64466\n31134 46231\n55479 81260\n66214 80265\n65024 76834\n54628 94358\n66936 74087\n8536 91101\n7697 69085\n4156 64518\n33945 51951\n36629 41641\n11939 37515\n8594 26300\n19604 85047\n38194 75638\n3978 76418\n92092 99463\n72939 83596\n2662 75350\n11258 98610\n34080 60530\n45683 73758\n50942 99155\n36986 41346\n3772 73677\n79606 94135\n57241 90715\n10265 48549\n64043 71768\n4146 86516\n8815 70126\n40036 65235\n45013 63266\n11225 79352\n36903 90700\n20282 87638\n42761 45922\n31245 72638\n57027 96933\n10771 62910\n25100 40381\n4365 25471\n24740 97379\n3373 37655\n46656 80700\n41746 65050\n60453 91421\n47364 98242\n57972 60521\n4574 26994\n39267 52376\n38033 46369\n69815 82635\n78084 96765\n86110 89545\n4067 75834\n47615 61543\n69772 96192\n996 82283\n17195 21512\n13184 84556\n38665 66917\n12516 89678\n383 30268\n32141 65951\n6576 40084\n30400 37814\n27665 47601\n36094 40558\n26575 29813\n6447 96788\n48476 90915\n89891 95106\n61494 80338\n53531 76047\n31510 49711\n35663 73034\n62955 70895\n19933 27593\n15347 17187\n18621 88696\n16524 36925\n63389 71461\n26134 83743\n93607 95811\n749 25223\n30408 87005\n37638 65556\n76978 87587\n56870 57207\n85778 95462\n45611 46263\n7853 84505\n2174 24144\n61050 63779\n8423 76779\n67453 93895\n86440 94249\n60716 68183\n50710 51601\n29928 51777\n25861 55648\n24910 59020\n3309 46507\n60823 96977\n32790 96600\n11011 45692\n21090 98544\n13675 90793\n31269 63348\n13420 21660\n78138 98726\n56941 67676\n8502 41158\n39050 65572\n4868 86279\n29653 62169\n12182 90026\n73065 90826\n80360 82508\n3896 17855\n564 31180\n49390 70344\n26725 73253\n43453 66818\n11237 89893\n4182 59332\n75598 95921\n77443 79294\n7942 81918\n36516 44472\n20363 49382\n2323 73086\n79986 97581\n60787 68794\n35602 43429\n18918 85875\n41883 55643\n90332 99937\n10537 79705\n11211 83114\n48932 57123\n31946 70638\n2838 99650\n54950 95922\n94230 95435\n16376 42418\n15426 48277\n75150 88543\n6516 79689\n45738 85665\n58275 60035\n79954 89269\n52422 82817\n64204 95294\n30141 76732\n58301 60042\n55339 96383\n16826 22931\n4889 91369\n60231 98859\n56854 80872\n31911 93618\n17966 57409\n20936 30704\n55187 66178\n68256 76572\n25975 52511\n3609 31232\n8979 71487\n49371 57777\n34224 46467\n31022 69141\n10933 70466\n3098 32047\n58682 90722\n73554 95458\n4991 95746\n25483 63738\n57001 99568\n22816 79136\n33500 92011\n77693 80389\n29272 38780\n47416 75476\n61269 64324\n15120 40385\n46666 48204\n63123 75365\n8699 96230\n51006 65980\n41759 82582\n1247 40504\n15151 34472\n64277 89417\n19397 76488\n2401 83973\n18913 75833\n16753 47987\n33411 86072\n7510 90841\n60338 73378\n38785 85328\n21957 69854\n52249 66607\n31803 90276\n90525 94063\n28575 61670\n59400 92240\n93456 96750\n43498 73018\n25246 39725\n77155 85290\n17476 31676\n17293 17625\n2094 92745\n32790 37763\n4848 17084\n16560 35992\n50664 92367\n37489 44098\n23576 23994\n35649 65365\n58786 92633\n6648 68489\n71806 84146\n4052 60311\n56450 85193\n41387 78284\n3360 52408\n86836 97890\n69685 99583\n65116 76616\n37538 86882\n70177 95195\n30132 90015\n5716 85608\n4330 61177\n41072 46149\n21717 82839\n85392 99376\n52418 99579\n47061 64724\n36217 82483\n31042 94385\n18514 85474\n67915 89566\n3022 69414\n11399 19544\n62744 87066\n9047 36537\n7342 98821\n12523 13980\n28454 82757\n62704 70917\n1278 85104\n36265 83305\n50540 93787\n46250 87685\n72543 88329\n36670 85956\n50982 92865\n8145 29255\n3577 38871\n11494 38258\n65443 69464\n16955 57848\n42044 54444\n4448 7544\n46122 48961\n31581 83722\n37638 46173\n43285 49065\n13710 44825\n23600 41887\n1109 70305\n14156 63571\n97241 99227\n9502 33928\n19382 98864\n18396 73438\n25213 55513\n14797 49827\n9823 98412\n67330 68085\n2267 53830\n78967 90424\n37307 70572\n28909 57829\n55858 65714\n54833 59129\n13747 97260\n17169 55815\n52016 52957\n25598 86253\n60400 69580\n44870 90666\n61572 73480\n24788 69278\n64106 94624\n8408 89389\n42325 89788\n45864 99382\n2071 84686\n22981 81064\n46983 72917\n49638 98959\n33927 80745\n3323 69548\n19398 96149\n12781 38341\n30464 45389\n43454 44408\n37460 79883\n37402 73260\n40846 81961\n4884 13930\n76403 77721\n82011 98809\n54021 64871\n45344 80379\n74337 87174\n72554 82971\n23919 94917\n25323 34022\n51442 67160\n65445 84481\n16721 78973\n34393 96054\n48623 60599\n24810 92968\n28014 60942\n20333 64272\n8865 61626\n63936 69727\n38079 57549\n36419 57156\n56712 83311\n12464 80526\n34667 40951\n61425 96121\n26057 88282\n63957 66880\n42512 86873\n2216 34677\n13093 27770\n47628 48320\n8076 56405\n44421 55571\n4229 99059\n29983 75642\n92578 98567\n22241 30575\n83096 94160\n25351 83779\n45868 56658\n5554 30424\n38006 38591\n17881 53490\n61805 96709\n53895 73541\n28926 82943\n36592 93310\n46528 81529\n18226 85022\n77805 94149\n1875 24628\n23940 43674\n8648 96073\n10995 48171\n42435 85695\n46885 57938\n37114 74785\n75945 85138\n47637 58893\n2488 56274\n26385 90134\n16234 52318\n66124 99058\n60494 71164\n44546 94668\n81574 96353\n34029 75738\n39678 49097\n19851 34651\n21460 98075\n39190 74528\n54086 79017\n43937 98858\n68375 94094\n57851 69552\n26952 81640\n28654 79773\n22501 53120\n222 33305\n39671 93400\n83609 89448\n12316 31892\n32202 81488\n9571 45337\n61842 87702\n45201 57798\n29139 58293\n56315 97419\n35201 35240\n63990 97622\n12708 56044\n25056 90794\n47061 58766\n78728 81717\n22098 57787\n32555 39765\n29203 56355\n23630 97022\n18959 48159\n21996 79559\n1294 42098\n19623 28042\n60364 63128\n26437 60550\n31456 56280\n26077 32590\n24210 59342\n26477 56989\n6482 23503\n14146 76779\n105 24316\n7781 9628\n5288 33134\n16851 94709\n10324 68513\n62228 81471\n17545 77689\n40016 87071\n74441 85998\n17715 46926\n9350 21784\n49627 64971\n92212 99232\n15241 54749\n67052 96423\n80246 97963\n25945 43507\n59584 86849\n23891 70451\n25606 39822\n21864 26167\n3093 87397\n95004 97590\n63719 66923\n10638 47231\n33638 60699\n20778 75612\n19219 88455\n17076 49966\n85359 98724\n24891 93681\n58342 64869\n14845 40400\n33043 95034\n49940 69316\n12608 64681\n13232 50421\n10681 97077\n13235 22567\n30212 85664\n50691 66534\n9387 65524\n4984 40647\n12926 92799\n6223 74980\n52680 74805\n5501 29231\n6178 8607\n39509 55190\n62112 63657\n6361 65593\n13177 65890\n34085 80804\n70996 73969\n7929 78177\n51216 60572\n13551 58199\n20401 44219\n25237 49482\n68580 79788\n47312 58064\n31568 32613\n25487 77033\n51462 79051\n96681 99517\n11401 64829\n40955 67452\n3417 15755\n4230 43988\n48868 58681\n16240 46010\n7685 90468\n64497 67374\n66992 72823\n19081 77381\n21496 85001\n35615 66637\n26082 51707\n20127 52539\n10937 24228\n22126 76890\n5399 69622\n19020 25498\n29906 77870\n47150 57789\n15094 69115\n17018 78671\n3949 34624\n55806 58460\n49510 50418\n13379 27690\n8700 84505\n29971 78190\n50885 97075\n51364 52646\n44983 65448\n8301 9861\n14074 43655\n5592 52990\n50098 78262\n6558 11418\n2167 13852\n54687 80625\n39496 84716\n988 8856\n33326 40661\n74820 77458\n81918 85564\n72625 99854\n50069 74446\n58936 69004\n26198 60687\n71903 81272\n20807 46616\n17882 61224\n36542 97129\n32420 78156\n25525 31794\n20276 69013\n58534 64662\n15645 18347\n48575 57986\n38928 50841\n25332 47208\n53457 54563\n5496 77476\n77722 99508\n77341 96008\n72399 85594\n14256 42845\n3989 65514\n36132 64729\n13148 76918\n1961 41679\n51433 98834\n632 52261\n43700 67950\n65216 78131\n11283 65765\n63124 81202\n10734 50258\n10616 33052\n80047 98765\n34260 80733\n17306 28906\n78672 93957\n44652 87774\n73408 87890\n6487 10015\n44933 95229\n39857 83660\n69236 96129\n48085 57289\n21625 63494\n61258 93391\n9032 87605\n75855 91994\n18701 68051\n58502 79573\n3429 68634\n52907 92865\n95176 96334\n35324 57902\n9235 79977\n55159 58652\n18270 35860\n11880 98553\n43309 97258\n3516 97045\n24453 64147\n35578 40084\n28975 86456\n65304 83643\n35530 50770\n63024 99866\n44153 58214\n3719 5131\n30736 94874\n4650 90346\n61253 98281\n14740 55741\n39741 46009\n69761 85533\n34257 53565\n4624 65186\n1360 38641\n96424 99263\n44182 96334\n17411 61437\n19479 92907\n9411 24793\n61994 80848\n27570 55517\n3769 71438\n21848 23658\n21324 24488\n8219 40681\n5673 98476\n23388 84374\n14326 91962\n13656 63280\n34530 96064\n33998 93642\n19949 93105\n2869 59318\n63409 76562\n13295 16824\n24576 66213\n3049 30468\n22326 40584\n70435 94834\n17446 76397\n596 46291\n38563 40760\n60901 90103\n64264 78798\n7028 40318\n14598 66281\n12593 78592\n49222 83428\n35821 73481\n14813 69251\n48351 79868\n55237 73422\n27885 63712\n76692 88358\n14467 41072\n48153 78889\n58322 80166\n17565 21641\n78499 95778\n18368 52568\n53490 60539\n44481 68394\n74137 91303\n6475 20991\n6018 15185\n32739 39903\n41913 68170\n33519 38310\n73759 96027\n59010 64969\n24387 26065\n16523 47833\n62713 65821\n63372 65965\n22832 80888\n49177 83203\n56155 97986\n39923 53404\n7958 78266\n50032 93389\n27191 83821\n43493 53596\n51051 90208\n18504 96144\n8795 77753\n14000 22589\n86101 94343\n33185 79355\n5126 68912\n27286 57476\n50551 52886\n9530 54475\n36375 52593\n2335 2383\n32942 65837\n22978 50025\n25847 71221\n18325 53167\n51514 57568\n11658 17637\n60595 62543\n46162 83155\n53248 57107\n29760 65736\n53744 78511\n51321 85391\n74681 84922\n12383 25653\n6909 65402\n40536 55496\n15313 98139\n31719 32937\n6640 90014\n18823 33957\n70866 81611\n67060 93858\n27436 30520\n68494 68749\n64475 87447\n39133 70344\n70955 94346\n61784 89729\n32342 58866\n17758 86495\n38880 85039\n52453 84980\n30484 71869\n4395 75120\n29776 89280\n19256 20310\n10568 60814\n81276 90272\n17690 37109\n29724 68199\n32822 78012\n42050 53588\n19299 54585\n283 15723\n46550 54489\n62739 68929\n15010 17863\n6909 7430\n28542 69644\n29101 83923\n12028 36980\n238 17665\n62102 74140\n74570 90937\n51936 61909\n1330 52142\n33580 43743\n21522 39186\n13031 31478\n46131 63116\n31414 68315\n57730 76033\n60174 73474\n16469 98045\n51382 94957\n26667 43218\n21957 59296\n34808 76554\n55881 75423\n77130 92392\n6187 53079\n26544 77084\n33575 93593\n28310 96861\n55351 78502\n16724 31781\n33196 90118\n25288 83941\n7505 60725\n22153 51582\n3579 62653\n15953 82727\n63990 65263\n48017 66818\n313 34687\n12076 85103\n36021 43650\n11670 74915\n77334 91002\n62953 97345\n39065 82358\n55815 64963\n2885 40618\n18667 53597\n39825 97111\n89777 89927\n5919 59195\n21105 51728\n10247 71499\n5361 93418\n10584 51440\n974 29363\n43042 92170\n23306 37077\n2546 95387\n19680 45914\n17095 71600\n31311 56851\n45953 93772\n1865 51727\n27402 42151\n11538 62268\n19068 62134\n53312 62066\n26344 32296\n78170 98902\n33240 51615\n58221 73718\n6090 61906\n250 61303\n32885 71644\n79761 82301\n42991 58383\n19439 52545\n37042 88660\n7668 49297\n82572 99486\n83062 99024\n11789 12212\n43614 62827\n55155 84391\n8576 94647\n60966 99618\n59103 68592\n678 86672\n45154 92696\n68771 79495\n48315 87130\n20235 25983\n35136 64291\n214 42036\n4625 56160\n56053 87264\n9279 95084\n32696 54132\n10179 21303\n15665 45448\n43117 80347\n2739 33244\n57531 67055\n2284 16040\n6407 41903\n8246 23990\n22060 86703\n35306 60059\n30131 48028\n62645 91117\n6955 96383\n25966 70671\n12439 20523\n60835 68368\n20945 79974\n26978 68608\n78378 79465\n10080 49950\n9373 77487\n44139 59635\n1714 12128\n3015 76431\n6759 73262\n5165 16874\n13284 46476\n6712 42951\n50117 83474\n71240 95918\n56336 96010\n1099 49125\n5674 82378\n33441 78972\n30816 89328\n3272 32485\n21037 40568\n44914 63406\n13123 40773\n10079 13330\n24039 92610\n4523 19226\n51342 78061\n5670 55253\n22223 63954\n54906 72810\n12170 24324\n6452 95917\n35993 73358\n11581 46133\n55436 98589\n14863 61141\n4485 95444\n62784 83957\n5184 93933\n5730 51208\n4495 44036\n37392 79739\n63932 82165\n47490 91080\n30873 61169\n6541 87109\n34632 41372\n67812 76824\n9223 48970\n22461 26881\n30723 91104\n25731 49100\n38114 85380\n8545 56473\n22259 93982\n16851 43057\n26744 33096\n1210 92145\n19725 28747\n49472 94667\n5508 35744\n14457 37331\n24928 72011\n6770 17483\n28054 76842\n69661 85558\n70271 88275\n2750 50671\n42096 94449\n6432 77895\n2091 71013\n23707 94466\n37139 70082\n69251 74236\n13882 65803\n13388 53188\n2433 19746\n17043 20975\n7365 85617\n37739 55225\n72642 73065\n6560 44808\n52107 53618\n61018 73077\n23840 57518\n18088 32352\n57177 84440\n38624 79498\n41806 67076\n18294 96757\n34797 61573\n3041 61435\n5567 22026\n51902 66681\n30746 94281\n11262 74885\n22570 64806\n1847 30108\n2327 80191\n6048 76847\n21167 34018\n32971 57468\n80499 89999\n77267 79918\n1012 33417\n21748 48380\n59293 83231\n8850 52177\n30403 47804\n8088 96515\n25049 29555\n4637 46996\n55154 69829\n46596 67508\n75200 77549\n40040 82823\n40537 86618\n1511 66415\n2559 42512\n50773 86374\n55350 97464\n1207 66348\n61811 93955\n5677 39286\n4290 45188\n63810 70971\n24618 64180\n25794 39748\n9007 23652\n37586 40010\n44138 62001\n58872 63680\n37011 83668\n21751 40794\n22340 92150\n2117 92507\n8426 34116\n18962 38734\n69119 97519\n79818 99907\n15771 95276\n35032 50172\n31805 49827\n47650 58381\n57351 72571\n44402 89981\n5394 56737\n27983 49432\n63117 95405\n30460 89403\n8017 15749\n20258 77751\n75365 76244\n11709 41469\n47836 99606\n38638 46049\n20663 30220\n74179 94579\n52332 87142\n40404 65600\n25704 86572\n56694 82554\n19965 27150\n91007 93574\n25573 35773\n44686 54285\n36646 78693\n24502 36197\n74797 82582\n27091 94175\n44954 49551\n17549 95375\n62576 88587\n59139 73888\n13816 69106\n41735 68099\n82373 83915\n21681 98722\n626 83344\n5531 13427\n46996 86207\n51987 75964\n17273 56405\n65376 73849\n77656 92391\n53691 91760\n33712 47112\n33446 74008\n64667 67292\n71483 87086\n43 80372\n7880 42086\n19655 55018\n16786 61214\n32842 38586\n32371 36267\n20511 91569\n60958 90837\n18848 66895\n12943 16574\n80262 85678\n55129 60451\n30607 99036\n26429 60150\n48036 90621\n63164 85214\n5058 80094\n39183 74325\n75104 86727\n6943 28808\n77 22761\n21854 46712\n68295 70090\n22959 72215\n10080 42643\n74225 84871\n28477 85594\n48476 85574\n40902 83007\n40266 57986\n83557 96639\n73962 84839\n5501 98253\n21750 77240\n4896 21817\n72552 92360\n22795 27965\n37497 75476\n4279 16911\n4191 19515\n48664 56288\n37167 52456\n40538 90104\n20463 62013\n28795 36592\n57212 86041\n52506 78339\n34236 51766\n37718 48301\n7568 96518\n16199 40332\n34108 35079\n72540 72632\n35 87669\n56663 93711\n18208 79203\n7616 22821\n52810 85419\n46385 66286\n17967 43058\n71373 76823\n14798 55251\n4128 9092\n39569 79314\n50488 91519\n65974 73153\n37282 77950\n34275 80783\n19975 43687\n7331 41759\n6867 69071\n45858 58747\n52280 67347\n4036 32435\n59167 66289\n51572 92702\n57803 96846\n33556 66569\n53660 99467\n37751 97310\n46349 69899\n12870 78196\n16918 94588\n63807 99598\n66918 78091\n24515 88251\n62231 80996\n12749 20459\n47336 53691\n32727 37615\n24765 71812\n77765 95748\n34708 48004\n97 68439\n44724 75238\n3055 20589\n65912 88860\n15949 80058\n1275 62439\n25928 87534\n34289 83073\n16916 56847\n40680 74391\n62264 98318\n4734 10763\n71238 71887\n13213 47610\n61346 82706\n16938 48764\n96418 98505\n46221 71401\n48213 99621\n48587 62976\n28041 67333\n68864 95046\n61485 90713\n9460 88544\n8330 46645\n26930 68151\n1333 28890\n52614 66526\n22895 31171\n11456 20999\n25512 74686\n20987 63188\n8333 71884\n19523 79743\n3727 96433\n10349 38386\n35682 73218\n36574 66659\n49888 96600\n19464 20212\n40363 53858\n2790 72532\n64694 73009\n82392 84291\n2443 29998\n3620 75932\n26028 93918\n21423 74721\n61469 89215\n71601 81098\n15086 99951\n22745 99536\n26769 98608\n91518 92302\n73505 91377\n46137 91446\n43627 73683\n43552 55571\n7875 95917\n56576 57588\n20112 53177\n1152 81043\n11378 68540\n19455 84894\n43342 99052\n6744 44340\n18941 33789\n2825 66198\n51171 64298\n32833 43804\n3471 69215\n977 50439\n1788 48531\n27022 39723\n61523 97931\n4619 88000\n18156 76566\n21752 29733\n4201 66418\n52052 77830\n15813 40862\n67581 94102\n4538 24120\n33384 45249\n78849 97225\n12089 97023\n69341 69601\n27449 64479\n74042 98342\n22891 87217\n35852 91322\n4940 21402\n71052 98142\n16351 54980\n62545 99675\n721 58722\n22900 66397\n11615 53867\n12772 64209\n86527 92256\n60360 72828\n13882 94943\n20689 31493\n25861 31940\n38779 42334\n61792 78459\n54762 89288\n52449 95460\n75772 81281\n79771 87402\n55283 66399\n51287 54176\n1491 9322\n37887 48387\n17176 33199\n4295 15678\n1177 55799\n35443 47270\n57605 89505\n62951 66005\n24327 89423\n87704 99877\n7119 37287\n36086 83891\n41696 56557\n49667 85319\n60658 91525\n55069 77313\n12098 85583\n25287 97203\n43839 49466\n27505 92685\n39994 87631\n6012 44850\n19588 94675\n59427 89387\n44633 51348\n5742 49026\n19939 96995\n40250 88757\n82344 85620\n39159 54628\n62378 89035\n30159 75792\n32202 85961\n4049 43198\n26101 62789\n43594 47003\n5755 28786\n13500 75500\n29622 88690\n35300 89585\n45053 52095\n40138 92241\n4015 36465\n8182 28395\n20990 77318\n65157 70460\n22472 85460\n11038 71472\n6063 36995\n27285 88149\n44077 81364\n17563 49351\n44699 73714\n31846 84573\n43865 75539\n33727 55712\n13619 63080\n24213 42529\n19233 69807\n15693 38547\n33758 60326\n55295 80133\n20769 93952\n52821 86017\n57736 78432\n6151 36549\n42473 88068\n13898 94961\n2033 47249\n3946 46096\n67575 95990\n12545 35672\n24981 98799\n3196 37555\n40856 84022\n15132 21764\n63858 95194\n16605 30770\n12067 39184\n10802 42588\n16919 92385\n19031 55301\n35773 71548\n7569 95186\n14104 42397\n9284 28000\n995 74727\n7447 68211\n3649 85689\n53247 69220\n71158 80488\n54731 64422\n22557 47103\n29328 42932\n86581 93132\n20287 28580\n3795 30124\n11395 90870\n16755 23690\n88904 99916\n55162 73656\n29863 82144\n49816 68573\n24708 48647\n4465 81039\n5354 39947\n5567 62181\n40244 43190\n45917 94966\n8909 40382\n28456 55232\n6984 84543\n55088 79800\n57152 59301\n32757 85121\n58245 97563\n16960 26433\n3735 76416\n22223 94104\n30658 93061\n33834 60455\n143 85123\n68488 83059\n42441 63773\n80591 94537\n4912 16166\n11200 42383\n31596 74157\n1340 87494\n35823 52626\n63038 81151\n75115 84449\n43431 45469\n52787 90804\n38950 84072\n25219 97721\n16602 19628\n35604 38715\n3996 82816\n28540 90271\n61281 83143\n3192 12275\n34260 68732\n53819 60669\n16013 53438\n27036 58998\n736 82553\n36042 82343\n3596 33185\n16515 48065\n26370 83898\n8899 77660\n31137 84620\n22761 94425\n32491 99806\n21408 38141\n43123 68373\n23263 66322\n25924 51680\n55757 69975\n32089 45099\n44630 82452\n52626 85399\n5086 65684\n18533 54787\n21552 98960\n56112 57156\n14859 76944\n56430 81487\n68003 81483\n3796 29403\n50436 81205\n35505 74484\n45161 77310\n30719 42675\n4868 62426\n16104 22340\n6288 55955\n71746 86680\n7309 54962\n9601 96987\n66440 91912\n68514 95308\n5357 35677\n3236 55017\n44928 67443\n8217 25066\n69099 84339\n83539 96749\n40567 55795\n86801 88110\n19954 71003\n24514 63731\n67782 95012\n5887 66958\n48198 74014\n47271 60817\n28663 63116\n77122 90300\n92093 94462\n13826 70440\n22815 23602\n27061 94871\n44742 78573\n42438 61884\n8150 31354\n56832 83093\n24277 44535\n60236 83575\n16154 19685\n20012 91426\n30338 83625\n15773 20958\n24604 85103\n64550 76993\n16376 91647\n42784 65130\n72711 76814\n23539 66669\n92316 99745\n13719 20180\n70602 85499\n27311 90207\n15887 34364\n13988 79455\n13772 69122\n6261 84186\n55577 69216\n77902 78574\n47025 75709\n7983 94111\n62191 89014\n12346 40036\n50011 99851\n83088 93722\n17732 98949\n56507 59661\n16291 26375\n47679 58441\n1787 56786\n13793 15694\n76991 81441\n48000 56471\n5540 69658\n28731 31609\n61663 84644\n19685 54675\n4426 69157\n40611 67711\n68958 80677\n72379 96515\n24265 63299\n2490 64771\n11100 73005\n4392 99871\n20422 81334\n17418 79379\n51579 61198\n31811 90810\n45837 95270\n31774 85295\n3225 14047\n21920 44158\n38440 89316\n17461 84647\n40653 50698\n11686 80665\n64129 75271\n92036 96147\n44236 96932\n49819 69724\n23668 66610\n1633 32520\n10716 55982\n96646 98569\n43189 84988\n80974 99579\n30213 54996\n1032 60381\n65159 77036\n72145 82486\n78055 84888\n1652 92171\n22749 63725\n31214 62268\n28615 54097\n943 92377\n4902 80800\n12436 71664\n69942 76140\n19444 37949\n39360 94744\n16285 45548\n14672 38670\n24977 64569\n8320 19210\n7769 50215\n8513 48061\n6383 95195\n23072 82083\n23719 99527\n36261 89733\n23756 53769\n9848 71719\n15922 67944\n8846 54094\n12555 50300\n61989 89223\n68801 69079\n33619 61826\n31509 65305\n22615 98549\n77904 85947\n30310 95083\n13136 71193\n61352 71122\n49333 94232\n9834 75530\n38406 65105\n48035 70936\n49421 61017\n1280 9664\n67601 85519\n17422 74316\n17675 34978\n3321 6020\n11462 76136\n64331 97366\n44338 58619\n17624 99652\n78706 86121\n19859 23363\n32106 40623\n14971 89806\n96092 99307\n28921 85035\n19434 76489\n1847 47555\n29062 82663\n7318 47548\n11786 49615\n75354 82541\n69330 90790\n2036 5019\n40900 65064\n29486 55715\n6006 99694\n19832 70103\n16413 99679\n40308 76167\n15994 55292\n34702 48938\n30224 69590\n21657 92557\n11491 19086\n68298 98718\n36881 66974\n97528 98431\n81085 94639\n3388 16177\n4529 21459\n44132 63357\n71431 94059\n55185 94413\n78633 89490\n11111 30458\n28972 60225\n5570 41918\n58115 68695\n41345 85816\n17482 33498\n57534 70608\n18444 84317\n13999 75349\n741 26573\n26715 98773\n62967 94411\n29186 46023\n4362 84307\n47132 50217\n953 51859\n96814 98635\n46392 91859\n50170 84948\n45014 89592\n9457 70280\n93903 98093\n79708 91232\n76422 78436\n885 76092\n58014 74440\n50535 78079\n34009 91888\n3288 68908\n30119 79233\n6684 35292\n4049 68953\n69759 83537\n25029 93075\n27317 82215\n6356 63432\n22619 48281\n16358 78625\n28762 65222\n29073 82681\n68559 85485\n6549 62735\n51767 73568\n18031 24811\n80008 98068\n20037 24752\n64265 83236\n44624 85080\n6611 45210\n47822 52113\n23746 81401\n18472 81324\n21408 54723\n69810 91291\n9719 47797\n7028 71357\n63234 67276\n18225 62496\n35535 71744\n59320 90738\n20204 56173\n49870 51300\n16411 62915\n3654 38120\n27879 83541\n40288 95257\n17738 91877\n19219 50614\n15742 84809\n21606 80122\n42310 68552\n87452 91162\n56893 71524\n18974 72722\n17556 45296\n10003 93016\n26144 62595\n8289 76408\n80680 92713\n68723 81118\n38831 83605\n3505 36690\n72821 73554\n9597 45979\n36582 69530\n42762 49081\n50903 71261\n55218 61160\n24781 93638\n48222 71419\n2140 97171\n18398 53557\n73550 88487\n13935 79457\n38647 81663\n26880 93566\n22718 98866\n63061 85085\n9691 56492\n57041 81945\n45301 85180\n1861 81766\n16073 84177\n14770 82470\n65754 95577\n67633 75305\n19851 93567\n34383 95611\n16140 48644\n50706 65608\n68770 85629\n37038 37706\n14558 43748\n1350 71225\n14191 44735\n62691 85162\n33211 75980\n26913 57114\n12560 87946\n27875 56270\n3643 63461\n2094 48728\n37242 74656\n51531 58041\n35883 63678\n24755 86272\n65167 73388\n28220 48362\n4496 76638\n91249 93307\n1616 20813\n20577 59077\n15953 44159\n72522 81418\n36020 44997\n70450 94177\n11005 56708\n17825 91009\n29809 47286\n45768 66560\n5645 37598\n4898 23998\n84533 94906\n89219 92175\n14399 28735\n5486 31119\n20957 86594\n73347 83090\n11162 37642\n20591 64821\n83363 94863\n3215 65106\n3788 9869\n10886 37438\n38937 72761\n38785 42500\n30707 41487\n67861 96950\n23066 30095\n38202 74840\n80985 82771\n28046 80756\n15328 99315\n51094 62764\n8930 71088\n27633 92786\n6411 12802\n57274 98713\n9154 27621\n86494 97941\n23227 28825\n58709 94654\n52563 80092\n29618 62145\n13184 80105\n37814 69129\n10495 14054\n8023 19147\n19197 44656\n66811 97975\n33570 44732\n37795 40535\n37208 81255\n47283 98372\n13307 93208\n64673 86439\n28240 55435\n4585 88634\n64627 78467\n27564 48217\n12260 13643\n50466 59615\n73318 83883\n22924 68188\n67666 67752\n49669 98121\n50882 89344\n78417 85812\n43898 74801\n10258 80339\n7613 71853\n25472 88057\n36586 44149\n69001 72547\n27110 61690\n61196 69636\n57025 98875\n70839 84582\n2809 58509\n52295 87393\n43811 75248\n79336 93066\n74738 85169\n11281 99717\n44312 74178\n29497 92041\n10062 28139\n33326 39235\n57804 89528\n32654 99148\n36076 51635\n15832 55599\n55423 73615\n8790 89973\n6507 28480\n48190 65486\n35448 51115\n1526 18566\n8950 33199\n586 30961\n9301 70146\n29272 80653\n20411 59573\n15614 37745\n24382 90107\n56369 96777\n69729 85143\n23521 75243\n39363 92011\n57684 75834\n8184 15059\n86740 97625\n74217 74778\n93790 98106\n35992 53663\n7829 38885\n56360 76264\n16935 79317\n29102 90998\n46306 88009\n10148 45276\n16102 60370\n38546 56013\n9481 12175\n33972 98044\n4517 28037\n10907 95749\n61797 91558\n33486 64753\n35367 97968\n3294 13120\n27150 33790\n58125 99342\n14966 29871\n84764 98556\n18999 98032\n52071 55148\n71371 99497\n69396 89599\n25360 36628\n8710 71374\n57793 58551\n82433 83686\n5740 90552\n14620 81352\n29818 91677\n38768 78785\n10889 48740\n26301 60586\n76266 93090\n69406 91016\n69807 98802\n61258 72314\n45270 53146\n62330 80628\n40880 59615\n78132 91859\n29443 84995\n41788 86664\n4455 59706\n18462 38039\n65977 75384\n71972 74464\n1816 53697\n14874 87179\n22322 49274\n35100 50244\n66512 91814\n10722 47647\n61434 91777\n23654 77853\n22593 39936\n62482 63632\n46383 51875\n45634 76439\n17276 41524\n65288 77196\n20900 31800\n78975 90226\n25018 60830\n15058 18020\n11900 43912\n13150 18029\n11936 35637\n52980 55020\n18139 53356\n2486 80263\n22897 35178\n68337 82845\n33744 48919\n60361 70615\n10185 16736\n24979 76046\n50959 69523\n18884 70522\n60442 60935\n26189 38933\n10835 70015\n81196 89269\n57147 97709\n85663 87864\n13065 96899\n52513 77810\n10181 92360\n32284 84321\n15872 65780\n39047 50705\n55330 85012\n23692 62592\n25136 99169\n27450 97724\n852 12720\n17157 22395\n580 9726\n26108 61883\n37939 68376\n11981 62340\n66638 85029\n6495 10959\n48665 66890\n5906 68636\n17847 65652\n14281 26565\n50417 58245\n14649 93661\n52327 70088\n432 23354\n55910 61363\n16913 69486\n77842 88449\n60543 94904\n80304 87144\n85337 98219\n16730 55353\n3709 82692\n2452 45047\n24266 62056\n10098 63481\n25316 85217\n12851 19559\n42923 58994\n72156 81068\n28904 37422\n40590 99796\n15752 27369\n67608 73880\n9157 44683\n41845 67638\n44060 89662\n815 66178\n6388 71092\n63742 79961\n31741 40488\n35846 65417\n54947 79363\n15007 79157\n8676 75957\n13294 69318\n19488 89367\n54179 63540\n8022 41512\n6164 44597\n41375 52902\n55806 78761\n43929 60976\n42831 77023\n5441 50553\n57465 96528\n3150 52380\n17930 90543\n10020 30917\n28048 92841\n69262 85610\n44698 85845\n1743 72379\n19899 64529\n78567 82231\n28920 37631\n45796 60603\n14958 34193\n19891 32040\n60492 68973\n52083 67894\n53367 59040\n3239 72601\n43600 78880\n8007 51704\n18297 88375\n43511 54036\n38404 76919\n12051 88058\n802 7525\n65678 72484\n31414 45370\n15865 48668\n85783 92056\n14973 48880\n49695 80815\n13000 94537\n14827 46366\n88977 98364\n29977 54782\n6764 37093\n41345 52023\n4416 46704\n50789 87494\n23479 40004\n49701 49903\n515 91622\n92932 98553\n39055 52848\n75057 79519\n47188 81162\n6410 39541\n55857 68991\n64637 95278\n44946 84218\n8859 86859\n7670 98266\n942 84313\n15416 72438\n6121 27560\n63697 72199\n34994 50571\n37757 52749\n22975 79297\n635 55286\n48195 73374\n10660 35250\n30069 49786\n66676 76833\n13570 34941\n40429 60709\n8588 33878\n29968 54620\n12326 72194\n10338 26577\n55408 93555\n26255 70873\n8390 34091\n74154 90557\n30259 60981\n1451 27833\n18449 19643\n11905 87957\n53247 92195\n27620 81897\n11867 46318\n45122 96948\n3001 56077\n38982 69661\n74450 94053\n51289 62854\n12904 22899\n9757 87452\n42212 99851\n18925 92913\n22951 50087\n12546 95696\n83618 90660\n74618 80133\n4792 89574\n18517 20570\n771 53944\n17420 62183\n15718 97372\n3514 71587\n9079 56128\n21705 55596\n7287 62848\n23912 26656\n1579 95955\n1507 37618\n53207 59736\n38587 90654\n37546 77780\n60082 93913\n42233 73468\n70127 75349\n58645 68985\n56803 80879\n20788 52934\n50543 77360\n69954 80144\n45614 57370\n98607 99302\n22969 50924\n21862 98423\n13092 58924\n28364 48290\n25253 59268\n27328 67231\n15090 35457\n14986 81464\n43803 87153\n71262 80319\n20268 70079\n16828 55932\n85154 95047\n87297 87941\n47904 68177\n71633 80313\n27817 35589\n40570 75812\n12421 68514\n42409 66442\n59622 80887\n34854 93841\n7289 92324\n64440 87549\n30565 57666\n37646 65471\n11180 39151\n26272 66617\n27632 44150\n9842 27756\n62015 83581\n24768 70715\n66374 84870\n26288 98461\n28759 57772\n9345 88423\n3541 91751\n33908 82482\n42523 46824\n4621 42503\n41520 54839\n29474 83894\n2932 25710\n93607 96791\n42836 81499\n47389 60735\n20819 96625\n28547 61633\n4381 50075\n33 37349\n78303 81364\n67581 82565\n20651 77944\n8787 62803\n11059 73834\n38902 69453\n18262 63482\n46730 68727\n20201 51746\n77198 91806\n66658 78184\n36622 59503\n81851 82751\n4222 60363\n68744 75344\n30619 34088\n73031 91555\n44566 94752\n41595 52415\n86688 98363\n2546 83397\n23112 88432\n20664 35489\n38852 39655\n6112 69584\n17195 97315\n44589 51105\n4530 25193\n12413 52294\n27121 32161\n88514 91838\n34087 46855\n7831 46105\n15060 87075\n47544 55087\n35586 63022\n37018 98348\n3209 70711\n47774 70201\n69226 73069\n1455 44600\n41374 48471\n22532 72983\n64195 71970\n8741 89498\n19753 20279\n50981 69159\n66697 77303\n9659 95717\n65446 83789\n9368 93840\n1255 80464\n31471 99994\n74673 79879\n31171 42040\n47532 57092\n2779 68487\n4432 12047\n56094 58879\n4012 83438\n50102 83446\n47291 50160\n21120 24203\n45888 80799\n31075 82606\n39500 95021\n76133 95292\n4277 8417\n49467 72135\n55444 64473\n15946 30841\n9554 53548\n54387 63837\n53067 64770\n57175 59809\n24784 60139\n18069 67692\n33669 72342\n1876 88450\n6486 57960\n49859 58611\n23138 35483\n31637 89567\n3020 25201\n9734 18874\n42147 81732\n27133 70502\n11015 74719\n16423 50307\n67035 92971\n3329 5985\n32265 45397\n20107 39050\n82940 96581\n42804 84670\n13752 36059\n14760 34920\n26655 27322\n43733 70884\n17619 49542\n65829 95681\n29579 77601\n24989 82095\n510 47290\n52844 72901\n7929 51280\n8254 52883\n81809 95275\n8066 41649\n84694 97940\n8655 9124\n17620 94313\n50534 69190\n38297 60287\n11384 63102\n20916 35730\n50846 91749\n33482 44778\n11200 37295\n1397 62187\n3887 86776\n1065 31838\n45592 74492\n45268 46805\n28351 50679\n96474 97100\n33510 46977\n22867 65246\n6708 37723\n447 30719\n31868 92486\n75504 85163\n275 97518\n27021 77048\n77408 95846\n30573 56864\n45205 49616\n42337 73545\n26821 36713\n10798 44085\n34092 95337\n11404 22925\n63711 79016\n926 99171\n27654 76797\n1462 92278\n41947 76321\n1553 40432\n52912 63790\n15 42434\n2372 99061\n17923 70052\n73048 98904\n30553 41087\n50959 83369\n26473 85531\n7674 90262\n4564 45053\n58266 92273\n604 82713\n51205 63456\n5719 50477\n50394 66316\n23968 41091\n22349 40244\n76585 86703\n73234 93248\n388 80814\n48025 68341\n92914 94173\n56800 66453\n22761 63185\n26980 40533\n34567 52482\n52516 98565\n4610 86342\n3588 20537\n23899 78463\n187 54255\n10478 91973\n49659 72066\n16892 66943\n3549 21554\n1806 6036\n20364 89624\n57358 63696\n26167 96818\n2592 84897\n15232 31678\n27572 35848\n39507 66536\n5825 87097\n46620 63388\n41126 97318\n50295 66932\n40473 92577\n61652 65083\n37538 47779\n45538 64934\n49171 69955\n57903 88491\n76167 92015\n53755 65498\n37982 75626\n51425 91737\n67705 87985\n26340 96974\n73170 74711\n18618 22800\n28336 92830\n70327 74479\n88262 95524\n26695 33976\n58283 83731\n30748 84598\n6821 22010\n57638 58578\n50434 81824\n51720 78440\n64168 99555\n27478 88809\n2429 44735\n53242 57924\n82075 83889\n61116 62406\n31598 96231\n36274 49342\n70106 96227\n744 88957\n10549 24334\n17623 27002\n4675 43087\n24191 45325\n4140 63109\n7656 81702\n36746 56863\n6320 27778\n35505 85595\n18177 57197\n41336 57046\n2807 93206\n22930 78855\n12690 34025\n65858 71660\n86484 93404\n59719 70963\n32730 35533\n70750 84212\n27515 86625\n69485 89721\n31020 87258\n17813 56722\n54483 80590\n29218 68610\n15617 41607\n41379 53519\n37073 42804\n23214 41509\n1671 21411\n21523 22144\n27155 59212\n68292 75244\n36030 93511\n47237 56301\n53650 57961\n24738 58639\n51975 89315\n2332 70944\n60393 83207\n29807 46151\n29226 45542\n27942 86217\n64735 73026\n38638 88549\n13013 68015\n60080 94245\n4917 98002\n18765 80634\n33421 93577\n14245 19552\n35741 77190\n46080 86021\n14803 57213\n3292 77296\n39914 55677\n25974 77342\n82119 82176\n23836 95230\n62276 86438\n4285 25769\n11188 92315\n44143 70877\n31147 98971\n61346 73487\n54001 64381\n35215 43545\n33555 89596\n29762 86325\n33177 85676\n21517 54430\n4926 44554\n8850 48808\n3900 52187\n30100 82257\n63206 79614\n32656 97360\n42830 60157\n11349 62607\n21642 77232\n78625 97927\n45623 86879\n27704 61786\n56461 76522\n14406 24697\n12691 72711\n62256 76121\n38649 47362\n43532 93855\n19481 80691\n28997 88778\n72270 81567\n30131 34074\n33727 95298\n4783 51582\n37366 86778\n25003 29688\n48824 84491\n39086 59481\n3807 48239\n2553 20196\n74061 81806\n66283 78126\n514 49587\n57844 90991\n49286 49953\n38565 88596\n63604 99563\n34970 67080\n21921 37931\n62913 84650\n55179 57450\n19706 46358\n52312 63005\n7412 72715\n2119 46476\n62295 94637\n49205 92428\n11199 53960\n58958 82346\n18253 70138\n7962 58984\n36097 39300\n20355 28211\n72125 98453\n15108 89117\n36963 44830\n75371 90437\n22640 28996\n687 44420\n55450 79492\n25670 83982\n11364 68839\n7525 45246\n8258 47773\n25279 30307\n12176 46819\n8126 55844\n4254 33606\n10797 38370\n3354 14807\n50852 80036\n62552 84510\n22482 53907\n41221 68578\n27954 53071\n60840 81909\n9668 13543\n24061 36632\n38856 62286\n65686 67694\n72268 73035\n48334 76222\n30338 31398\n35783 94176\n40891 75030\n44025 77625\n16796 16937\n11469 27585\n5143 55302\n69245 85194\n29112 50743\n43284 81858\n6220 43423\n13902 80105\n29523 79542\n63986 86476\n26159 71042\n59834 91454\n22870 82241\n66481 94105\n32192 68026\n11662 24416\n80886 87563\n17518 44195\n35279 57157\n11285 88395\n59081 93943\n1355 10488\n44468 75434\n3835 30676\n23339 50549\n59202 90781\n76300 91606\n77575 99071\n52518 77377\n50437 69308\n13836 65121\n6314 29319\n75961 81216\n49653 72818\n50069 72801\n33328 57045\n62717 86662\n41487 91755\n38043 39587\n9063 38157\n5008 5895\n74725 81127\n15012 87680\n9046 82628\n1006 5762\n44290 71755\n10529 95799\n17493 41646\n53358 95965\n39596 59903\n24618 43269\n3570 5078\n22377 31582\n28854 50942\n16078 36455\n35495 69070\n39660 52670\n68882 98369\n19954 97889\n65989 95336\n1082 77143\n59335 63088\n3526 61934\n11958 19311\n39589 98736\n15739 23817\n19587 75077\n11823 74773\n59624 91472\n30472 97523\n9979 40157\n65911 75818\n2780 85879\n66081 72649\n42222 94568\n56144 91724\n8054 30323\n13696 60103\n21672 90885\n12532 59333\n17419 25068\n78608 91398\n67261 90095\n73773 98916\n3330 67288\n97957 97958\n12232 59402\n21761 89256\n42031 84252\n74685 94517\n88966 97015\n318 26970\n45900 54483\n3095 53902\n45409 72026\n31779 95995\n12660 61674\n62808 91641\n20294 71681\n287 71820\n45485 46056\n23141 56006\n63929 73670\n23170 31043\n5457 61480\n7676 16776\n12967 38635\n77419 79399\n10568 60602\n23184 70101\n59996 84228\n48873 88278\n19322 38841\n848 49121\n70602 96580\n11149 25473\n30277 94435\n2816 57970\n12342 59141\n69061 82358\n51154 69398\n34246 67756\n18685 44913\n1272 74770\n1733 70359\n37222 70063\n20210 53723\n43020 47961\n20590 54671\n12832 78051\n54854 62400\n17824 99230\n19466 48472\n80275 81439\n15553 47137\n22832 81817\n5979 17930\n28960 93258\n32477 67426\n57238 67025\n87607 96935\n25699 87057\n89367 90189\n17931 83761\n24530 59552\n49328 62110\n6737 45610\n12257 49675\n5196 44372\n3840 11444\n7508 23708\n32304 59845\n1394 51379\n7825 10341\n50837 76909\n30700 44359\n67368 67792\n29997 64773\n60470 90420\n81615 94136\n20630 47758\n80593 94074\n11156 43358\n26309 78192\n7318 44941\n25930 30462\n39633 49775\n18028 51909\n6596 58576\n44307 62661\n1038 18382\n42955 73452\n8892 56149\n58522 78832\n19047 38049\n13418 61124\n41041 90530\n46122 47524\n11897 75762\n14273 57480\n69532 98208\n10155 36372\n28834 49977\n11014 64599\n10090 66091\n69267 99255\n29988 45326\n53306 81524\n6629 30192\n2963 14812\n5191 34749\n23907 85390\n75035 79385\n58455 94275\n38752 77835\n45860 47683\n45321 56191\n6903 22310\n68434 76809\n22092 49785\n63584 92525\n32704 49829\n21098 95222\n27499 63954\n47917 71385\n649 56506\n31585 63929\n74348 85415\n50884 80493\n36232 41793\n76391 86794\n69080 87068\n19 30268\n16103 53263\n32766 42512\n3293 31094\n7210 46624\n12024 20778\n4373 21911\n63152 75971\n21603 46255\n47633 73361\n16765 33783\n39218 59871\n1790 78536\n74002 74064\n15178 16166\n1304 3589\n29119 71320\n47767 63126\n3345 74492\n35255 73803\n22393 47838\n61902 90296\n30084 61879\n15605 18644\n54893 77683\n34405 89404\n6773 46659\n80946 86168\n13939 14937\n96087 96199\n55831 78225\n13291 98462\n40565 49749\n42106 54215\n64702 88427\n42301 50750\n25183 55323\n45269 75861\n16713 84653\n9977 24439\n25759 29521\n14081 60190\n82676 89215\n23126 35265\n23587 79874\n12200 62805\n47515 90721\n3334 39616\n83847 94904\n13384 69989\n2914 17945\n36717 78083\n6213 45425\n44125 92205\n60890 79370\n14194 48993\n35983 57615\n40036 83414\n54637 68310\n36386 45084\n49731 60949\n25505 40697\n15917 82471\n64810 98666\n3647 62560\n32561 36683\n47508 93055\n23813 32870\n22804 97375\n1643 62008\n34218 65224\n19707 80273\n24405 52493\n26526 63945\n8600 76314\n54929 83334\n18794 54961\n56671 97658\n127 86693\n33559 43961\n46770 77374\n26525 68930\n37545 39968\n5548 79336\n1764 9651\n17612 37528\n64832 73199\n58735 81578\n42941 50041\n19924 44375\n52587 72163\n8972 31146\n32516 73292\n48800 91847\n8345 68363\n34930 91244\n37864 74671\n7473 25931\n49203 79538\n34820 45003\n29056 45735\n54631 92174\n12265 88688\n41322 76432\n4221 43531\n15234 20034\n23238 73936\n83370 97657\n10783 58442\n12820 34017\n39155 86603\n19506 37179\n6626 90988\n18139 19475\n82559 94984\n61402 73119\n37845 85316\n43814 74707\n27534 77605\n56470 64665\n48689 61510\n4054 24289\n22770 54685\n59203 65927\n82636 86622\n14744 61696\n33614 95304\n14575 57541\n34110 34608\n837 52864\n29142 84583\n17890 89957\n74872 95202\n2629 49790\n39372 82692\n15036 83593\n79605 80605\n40582 73114\n63882 78528\n38422 84479\n42702 91998\n46895 95486\n22073 43975\n4751 22029\n70700 91220\n53846 54767\n6547 15037\n64426 88333\n79626 93554\n39412 66236\n27881 35132\n7427 70140\n9334 43384\n73663 93932\n14641 64881\n8757 47983\n21155 80280\n6893 51121\n21139 58940\n43122 48155\n89909 99613\n72478 95901\n2660 37168\n66632 69174\n71645 94123\n911 80179\n54476 89128\n47351 63535\n36822 98755\n19547 23662\n34852 79219\n6408 98588\n10190 23763\n3451 95653\n24539 25265\n85250 93951\n2455 28546\n60956 83817\n23641 29724\n22472 43203\n39524 75934\n47815 48569\n54476 91871\n10922 62758\n38773 49269\n9065 13858\n17196 73089\n72138 93197\n75742 95141\n28534 40215\n31700 76156\n65345 83181\n11099 57004\n51116 72946\n77785 86181\n24741 48374\n23894 24670\n54604 57667\n57700 82652\n6193 89100\n39225 43221\n84925 96362\n60700 94843\n31981 49705\n49479 98145\n51732 61346\n83735 90251\n36445 57058\n51479 87422\n57040 67920\n40296 70426\n18806 88440\n15923 32442\n9552 80357\n2596 97937\n65745 84487\n16046 87695\n69533 75556\n86706 89639\n81719 91936\n2326 80821\n85509 95600\n20473 71294\n26079 49325\n8717 18352\n27558 43702\n14902 52278\n32440 87631\n50752 58931\n41437 57082\n33877 49551\n24186 45907\n17605 81080\n95285 98846\n8884 95133\n2663 69963\n39154 39840\n64423 64950\n70618 71381\n47790 78837\n56728 85084\n96871 98997\n2382 15459\n56621 77574\n12979 41410\n989 31958\n756 32197\n66554 87997\n83431 89966\n79051 81649\n63299 86420\n6075 53712\n38536 94309\n52296 61977\n22338 43217\n73557 89668\n57259 83999\n41907 96394\n6705 97478\n25090 44251\n61699 71727\n36231 83010\n5846 96886\n41300 45075\n12360 23491\n57604 72333\n75021 83899\n51012 96891\n108 20197\n74723 82598\n7495 41070\n19759 92149\n17019 65764\n12750 16859\n71724 85107\n35135 44345\n20985 95940\n3934 31599\n46302 84101\n58497 61406\n92190 93512\n47871 71630\n51300 84281\n5641 70328\n10474 54363\n51996 62727\n73512 86021\n68209 80377\n20382 21019\n5944 98612\n16390 59498\n18416 57768\n33195 98369\n33326 88424\n32120 64740\n35128 89320\n889 98080\n32418 74101\n32868 58627\n51613 77954\n35421 79587\n58725 61257\n52403 59575\n32069 35309\n6018 47589\n34879 41851\n37600 40000\n19467 32690\n41766 75482\n54005 96432\n107 92935\n918 45215\n4544 51454\n13784 75828\n66239 97152\n10418 46888\n30573 68586\n43560 78143\n46474 75679\n36293 82669\n28213 75102\n79928 92530\n31660 36969\n58332 81404\n61978 70206\n15442 80157\n12344 26421\n23102 41152\n9104 91333\n12659 70662\n73745 85654\n7687 81094\n68201 76196\n56101 98037\n65212 77179\n20611 48213\n64049 96760\n11799 51379\n10663 19587\n38877 84949\n47621 96536\n15078 59009\n7624 13442\n9026 23379\n27114 88758\n15258 75172\n5767 84981\n14153 54053\n41208 66457\n12361 25626\n21122 81536\n50939 70118\n10275 34461\n5396 95708\n26213 33905\n7622 65172\n4142 81271\n4561 87394\n88493 91688\n63398 79208\n58644 79689\n39730 50036\n46452 84469\n13417 46773\n74065 75078\n50240 66080\n7284 42560\n42536 60423\n11375 12307\n874 76219\n22804 97203\n3287 76807\n22033 93479\n17823 79322\n72626 97175\n30950 52911\n40430 51803\n16556 72193\n11520 20063\n47703 85560\n15582 90371\n15196 67234\n1478 48461\n50449 61111\n21673 59527\n57828 87514\n24603 30409\n16183 44465\n4306 88262\n19792 59593\n82661 94531\n63631 84521\n12945 92320\n62447 86292\n20698 82052\n21613 83484\n14488 40810\n9463 78125\n9429 57420\n52537 59868\n31774 33504\n61334 64357\n60425 86109\n21770 23731\n34836 76018\n11067 33075\n22072 61538\n13343 42299\n86495 93606\n73844 74879\n74537 82149\n14937 49782\n68002 90890\n32466 87300\n1301 83179\n90473 95874\n34051 92437\n25703 86258\n77300 91556\n5378 23108\n32188 67137\n3340 63850\n38392 64587\n50788 51267\n37832 91153\n58684 60254\n13220 77823\n11758 37059\n57409 71226\n91440 94239\n56651 95926\n40553 43507\n42333 96979\n53491 89319\n46875 75922\n27167 77772\n19396 73366\n60788 64080\n77759 90804\n17010 36706\n24567 96459\n32812 83553\n12280 90664\n10354 44579\n70893 76211\n48355 86025\n43729 61051\n34322 58690\n41754 49659\n52534 76272\n21744 85157\n5736 79645\n46374 95056\n13966 79528\n1147 87875\n48963 61394\n49521 67846\n3509 30912\n4897 27862\n23809 34873\n65869 78708\n13244 54008\n814 19157\n36945 45595\n4756 34908\n4576 27223\n22636 33077\n49672 65796\n23326 42678\n50624 90852\n38416 45870\n4861 66992\n38736 44222\n63063 86973\n4700 9413\n9190 81202\n7299 30242\n47782 59378\n25493 46349\n53426 99383\n12049 17548\n21840 54299\n22493 42606\n7164 10104\n11354 55050\n6400 14066\n11880 76866\n7692 56136\n23517 96413\n2656 80079\n14362 42618\n258 30271\n20313 67996\n14078 96950\n5460 76003\n34908 80007\n39401 39671\n67097 98838\n42980 92068\n54579 73801\n78225 86334\n76168 90504\n68485 81210\n45268 77090\n8215 16094\n37190 77248\n74547 89765\n67667 88979\n66255 95598\n59850 80952\n21825 30533\n11360 37803\n41664 44846\n25929 33487\n12438 20603\n55165 85958\n65238 74716\n42491 86224\n13304 94684\n73702 78443\n18886 88689\n7579 17564\n1247 77624\n12104 66849\n59193 72373\n67174 70649\n58076 70994\n31141 33302\n398 7033\n12554 22078\n21891 97402\n30580 96408\n3550 99268\n4958 94050\n33145 45234\n13951 57401\n11000 80075\n21044 62974\n25146 30533\n75086 88789\n28852 81363\n43832 76584\n62362 92815\n16554 84377\n30403 62330\n13873 69611\n4754 24243\n8203 62698\n11319 94223\n45653 62674\n7843 67236\n62793 90438\n26536 71639\n62673 73774\n17573 61701\n14255 46626\n17623 59030\n36307 74941\n75432 87660\n41956 88072\n803 14357\n46735 74391\n32681 53293\n29763 97552\n57878 78173\n4701 50386\n23077 98019\n35641 57614\n27494 93284\n4161 69215\n22867 41991\n1730 51844\n78213 78330\n10085 63897\n47894 98676\n26864 49410\n18671 67058\n13121 22478\n14616 53071\n30119 84534\n5559 99069\n40942 76745\n13800 24980\n22357 71980\n52326 98761\n41877 68585\n45621 70550\n3079 14865\n33667 71755\n44861 48413\n22010 28295\n56215 69405\n10460 61382\n3221 56391\n13198 62399\n42314 89411\n40974 93991\n52143 62415\n1670 44991\n42257 99645\n26547 75309\n418 15298\n6857 8036\n54502 83499\n45743 96391\n54314 91828\n36662 94946\n18510 96020\n11856 57092\n31388 78414\n462 41922\n77215 78242\n2600 68309\n2610 20682\n24925 27852\n11140 24179\n41032 69077\n4943 30495\n44545 97233\n3125 97016\n13694 67173\n14761 85035\n11724 69187\n23581 48463\n27420 99467\n20775 48789\n91311 92096\n40584 93866\n72456 98993\n1407 22252\n57729 87797\n20327 36937\n19322 34032\n57448 92664\n91167 92839\n54853 92842\n21015 62117\n15333 84538\n60832 63607\n55302 81383\n53062 76381\n25104 67717\n23649 78905\n24785 34091\n23329 96800\n24544 25673\n32965 73211\n20870 53087\n11913 92568\n18450 93969\n6537 78276\n43732 54846\n47355 49731\n15428 70417\n58026 76953\n64738 86992\n22015 49163\n23363 56174\n49239 60250\n47177 61284\n9911 50851\n52312 86539\n11341 77452\n9726 82825\n46467 78530\n22699 70897\n2595 25940\n6902 70634\n19581 20467\n11345 77542\n4920 75261\n75444 81282\n5070 79044\n55022 60220\n49847 83642\n47217 56783\n34162 68822\n21054 99681\n57986 65017\n38562 62563\n33489 43093\n66449 70875\n3149 27409\n81585 92569\n24831 29972\n68452 84136\n81296 95182\n25996 40302\n19351 97209\n27873 89581\n40662 80850\n320 50846\n70852 78457\n17258 78693\n4758 66061\n45610 54329\n23924 77385\n13085 98865\n44714 59526\n16962 93545\n5291 60365\n34345 52232\n26140 41261\n37172 37605\n78384 82770\n26279 96673\n72112 92510\n72440 72610\n17076 18358\n66673 75733\n9456 77518\n65586 99289\n9866 54564\n13804 69373\n29037 54892\n12631 89644\n16949 42204\n55714 79433\n53086 82357\n16541 49538\n6191 47798\n8356 75479\n48485 51264\n60737 85641\n8977 75336\n2438 38001\n51412 83751\n18369 36886\n94517 97570\n691 70469\n30252 31155\n32485 82050\n1477 11641\n16012 21788\n81054 91954\n51606 52857\n45891 94322\n62263 69488\n60258 64949\n17181 59437\n45998 46693\n50117 76732\n35052 64132\n13378 95255\n65362 73256\n12128 28012\n9120 78172\n53842 89127\n34786 95040\n175 52670\n34362 57043\n16514 65491\n26394 29819\n59098 69193\n39641 84785\n53701 95790\n3163 63795\n41037 80808\n19220 42188\n23829 73668\n8321 19005\n13094 72013\n41893 67347\n20636 98499\n67684 68750\n53332 60786\n21972 85790\n69951 82258\n55448 95786\n31710 90631\n35711 84016\n59718 73283\n55808 57771\n8941 48694\n3494 59762\n18669 92905\n26021 40693\n25844 84926\n15734 97928\n22965 28273\n31315 93096\n44607 95533\n21157 29368\n6310 79261\n24396 58781\n40490 86445\n5564 34759\n66186 70489\n27096 65013\n43338 50074\n66815 97426\n8079 53984\n15688 79956\n33735 92630\n20184 90032\n17168 85599\n46437 57028\n26713 71504\n16101 74492\n17700 43549\n38785 40966\n21968 65463\n24058 79719\n34361 84474\n19954 96238\n97393 97872\n2018 99226\n7957 63970\n6796 35276\n77773 85456\n79819 80476\n7832 70393\n531 10766\n64973 69397\n4794 35437\n38677 89899\n6825 49342\n77259 78241\n23559 86989\n18443 50125\n17426 45828\n58493 75902\n52751 62343\n27563 66532\n48496 65141\n21029 99840\n37259 48529\n23854 80897\n66328 90479\n2721 87928\n44212 46556\n42745 84296\n8279 25725\n43696 88006\n16487 65625\n7466 60227\n75271 80982\n3786 74354\n67282 69014\n29457 97269\n86545 93053\n76078 86531\n82130 85620\n89432 96609\n64382 94801\n15032 40881\n1516 43495\n59687 79222\n85478 85812\n13178 22829\n79867 95921\n16752 84667\n64424 95757\n19800 65341\n6635 76081\n54955 55531\n72544 97396\n31940 65692\n23531 79334\n1998 68235\n20836 86478\n6497 49215\n40718 76743\n27975 65995\n41025 71272\n15119 65075\n76190 98970\n17960 79976\n21093 87051\n45296 52221\n23849 32216\n83243 97171\n33025 98559\n63708 64140\n53225 94016\n16073 57749\n42444 59249\n56181 98347\n56994 67675\n27767 51250\n8410 65173\n32979 35846\n12492 15969\n1452 15680\n20334 58696\n65927 78379\n46108 80290\n38440 82494\n71227 95381\n42596 98087\n752 85966\n13538 31036\n13286 48086\n50316 89071\n47064 94638\n25684 90426\n63921 74812\n1962 29015\n17037 70369\n38042 60115\n7219 64201\n9606 21121\n51655 90828\n27553 44692\n77223 96400\n23478 24159\n12494 38292\n53891 99838\n62747 95576\n14354 58870\n11299 98711\n63706 95746\n37121 82004\n3347 14069\n5381 27296\n2123 78574\n77783 80090\n51957 89200\n19420 35173\n42324 98363\n10383 55037\n8372 87979\n50636 79468\n29165 55803\n8921 51353\n33042 71695\n34617 45757\n21407 84693\n2516 46372\n51605 75164\n2421 13211\n15643 33329\n37971 55296\n36599 53100\n49368 54879\n18515 48746\n45098 75763\n7770 58649\n55092 79060\n49054 52721\n63571 98566\n59579 76859\n23855 56697\n67895 82476\n12368 27862\n34891 80408\n61931 95803\n5961 74924\n1890 75654\n32900 34202\n68282 82725\n53356 58034\n42025 44826\n5782 56258\n9441 58006\n52396 53981\n38695 68959\n41090 99753\n30726 85493\n9325 51855\n64603 99228\n39223 89493\n58619 74935\n6742 79898\n44935 75504\n83364 96454\n61422 96375\n16435 84630\n60607 82801\n5998 36032\n34216 98023\n43394 55928\n97623 98323\n40406 46918\n17654 44900\n58293 92399\n32093 90610\n32646 60280\n56964 71233\n14830 58481\n90860 95365\n12516 73144\n21472 24832\n52251 69876\n18265 84100\n18733 35864\n28189 80076\n70873 96888\n21843 23997\n67133 85769\n79816 79938\n5864 17983\n6712 33309\n49932 95232\n19663 71499\n84334 96502\n65944 80991\n6909 75526\n71651 72819\n5325 61687\n41639 80847\n44922 86480\n50536 72722\n8459 28422\n83180 98045\n27542 96824\n29682 37887\n42716 67495\n11320 40070\n9488 27935\n29960 31187\n49548 53963\n10361 99282\n23465 34805\n77098 95662\n65422 72741\n54466 59992\n49647 87753\n47673 95317\n62222 81329\n2283 52038\n22940 56289\n10126 32605\n69116 70919\n51699 82578\n31031 50420\n8189 59643\n3008 72037\n30832 73671\n18995 92712\n11172 75457\n3979 46211\n28127 79679\n9638 82755\n66894 93948\n15310 35340\n49648 91744\n20309 95681\n55575 64019\n4885 97809\n51652 53890\n31274 89421\n37421 51615\n54279 71876\n22100 41137\n2306 44726\n46279 77166\n15251 61991\n57331 73967\n54187 58605\n47989 70508\n9208 24700\n29157 49915\n63349 72431\n15743 62566\n30319 60911\n22810 68942\n35416 84317\n20303 26062\n65593 96201\n7705 49236\n65149 73401\n80867 87866\n10543 43202\n41019 97971\n15610 61895\n55727 56213\n24101 53814\n59761 99614\n17191 57720\n17255 76241\n31671 62242\n51 17242\n38059 49545\n3459 86917\n2934 84059\n1262 75513\n33076 48937\n77840 77850\n36621 71905\n24038 79823\n40030 57707\n32815 49895\n58254 76981\n41623 73520\n11898 13667\n29320 57151\n87452 92870\n3957 94819\n13094 68191\n11127 79892\n14949 34228\n5606 52451\n49611 82179\n80630 95550\n51338 95163\n19227 32647\n33908 46614\n29858 90417\n53609 88912\n76983 91541\n46300 61567\n46897 97624\n21137 76692\n67092 93559\n20208 79624\n91454 99976\n6570 27300\n12220 63313\n50136 99105\n41701 54830\n32782 78553\n42381 50625\n63809 66774\n24731 52257\n18848 74945\n42473 52005\n831 25296\n16619 28780\n17747 65391\n21732 24103\n60802 62236\n15176 80450\n77258 86622\n46938 63809\n9006 52785\n16685 21188\n66300 94287\n30412 46551\n49699 85959\n32359 45053\n4508 18448\n27977 65249\n45646 86069\n45482 97540\n19601 43640\n21474 57877\n7886 55532\n3887 52326\n79158 93654\n24432 52945\n51734 73085\n42833 71299\n14108 78636\n19248 84834\n8047 62684\n6059 21891\n14671 62905\n29913 51623\n42484 58170\n46148 71541\n12157 23322\n15092 55652\n19407 86475\n14975 93231\n35494 79615\n61688 79754\n39179 43058\n73794 85488\n68781 75112\n76407 96550\n73603 85493\n19207 62286\n51615 77963\n19044 24074\n6176 8657\n81811 97508\n86838 98145\n24055 29486\n11174 69405\n4193 99338\n61739 76942\n13843 70507\n30878 76873\n5991 70911\n9502 89100\n39711 49256\n6024 34949\n768 83757\n62800 99763\n12762 46722\n28509 40756\n18669 90002\n10464 78812\n45842 65626\n11932 99664\n17867 56294\n3463 40608\n17199 60018\n41842 70721\n14757 59394\n43858 81849\n12476 66537\n31181 65301\n894 99960\n74103 78779\n21052 73661\n27167 68113\n8667 11437\n73307 84915\n46661 84908\n47162 92045\n25752 82177\n20898 29707\n51568 56947\n34897 76638\n55640 79986\n11357 67140\n50428 94707\n18432 78479\n1060 96020\n69200 99669\n31736 71206\n13251 82476\n8803 28930\n63999 66230\n23040 55762\n6503 25199\n67446 97276\n63080 88307\n33207 93051\n21650 37672\n10213 83988\n28627 74986\n81251 91296\n25163 73979\n52671 59363\n45734 73676\n30004 61581\n3718 42418\n17587 44056\n54871 84699\n62440 74303\n25730 75746\n78593 79864\n14821 32491\n55250 59687\n55979 73635\n26790 79398\n25270 34069\n75428 75889\n10254 82863\n3742 65917\n49494 69888\n18733 27994\n97666 97845\n73470 92516\n23835 24005\n13262 41870\n30848 38659\n37954 48625\n32706 82145\n12134 46762\n36648 75383\n52044 58833\n78249 85134\n16448 73252\n8691 27788\n53862 94561\n40517 76501\n36921 70998\n7096 54082\n25077 61721\n49842 92901\n23178 52373\n76670 78616\n2594 5210\n59783 66650\n44634 63945\n14232 53097\n46266 79812\n36601 45974\n14727 20977\n8605 9878\n15561 22929\n46063 77538\n12456 66737\n6937 95700\n54512 71642\n32320 93348\n93089 93812\n10287 77092\n63576 94683\n41462 56230\n27897 80313\n25553 80972\n75892 85333\n16200 91870\n79523 86041\n39662 66486\n6084 53750\n36664 59214\n25034 95425\n46849 78876\n48610 68642\n33168 60748\n7527 88452\n58122 74458\n3911 66077\n92412 99419\n9735 27425\n67449 73186\n19731 96121\n12948 53138\n33546 79573\n14400 55446\n20733 94058\n13316 77065\n54224 96307\n73547 85119\n12457 67133\n73397 80230\n8178 84668\n9025 20424\n2114 59504\n65868 94839\n23586 98242\n75149 79013\n64815 69940\n14674 54361\n84919 85352\n36642 46516\n32505 33836\n14344 85951\n10966 63917\n37124 43976\n23873 89015\n66639 73195\n50480 89920\n82429 85401\n22677 74724\n16946 68338\n81930 97819\n7486 12882\n30334 42006\n55433 64368\n42348 57680\n19477 65929\n9639 51171\n78828 79563\n30915 61549\n10935 82865\n52987 97170\n15302 89658\n36677 89176\n73802 77393\n28020 34850\n34225 91261\n19159 82097\n39453 65752\n8473 72965\n9840 56072\n2678 5865\n10971 33955\n27807 95852\n9546 31203\n19061 70253\n24716 81148\n10045 52246\n5613 71049\n31401 51806\n58632 73133\n27282 29121\n64349 87364\n23987 45494\n3121 44515\n14542 88851\n40373 82385\n8749 77262\n6962 85658\n15695 35956\n10825 34093\n1547 17641\n83799 91438\n14705 16487\n19009 40556\n66727 97020\n19189 99157\n30552 36279\n54813 60205\n42626 59179\n15397 99644\n83450 93195\n37595 75987\n3463 88366\n89282 96310\n15759 74598\n30728 94736\n15615 88402\n33975 41817\n17763 94094\n53698 95208\n63440 93059\n85326 97092\n18659 67773\n34742 35461\n20024 69461\n12861 48235\n1624 26967\n19555 70420\n5 79932\n29063 39305\n28473 41719\n72958 76944\n77395 79906\n4080 58124\n5178 7176\n47255 90298\n75207 95018\n12719 23748\n6126 17317\n82197 94283\n7734 92675\n8807 28554\n50235 66979\n37119 38424\n59140 61983\n44191 72751\n52521 67701\n13796 51123\n9193 69319\n53245 92164\n38004 74598\n59875 77300\n9391 23123\n62950 96231\n7841 83895\n27267 51036\n56313 69062\n33910 59092\n48962 90351\n5806 23749\n24309 91324\n21212 27866\n22837 76934\n42659 59333\n12244 90256\n19254 59651\n23319 79628\n2799 86788\n3288 81472\n16459 17068\n50645 53785\n31146 68628\n71378 89903\n30494 79640\n63076 85913\n18219 72056\n10780 86066\n18608 72645\n18420 95924\n16631 24000\n66302 75787\n2545 44560\n27371 83282\n56847 72884\n29966 30574\n11808 28720\n5271 35762\n68489 94217\n72191 80332\n48778 91916\n40956 70940\n67613 99849\n51837 68386\n47038 96731\n59021 99052\n10401 17871\n26842 53842\n59102 78469\n5946 66842\n57590 79492\n10080 47933\n40278 51374\n35116 99675\n83184 89611\n22212 57552\n71728 99804\n84232 92569\n1552 53130\n28856 96960\n23480 84403\n32957 86102\n37293 49628\n56505 74308\n40892 88964\n57133 60735\n59100 68515\n12004 96780\n32172 60163\n74279 77465\n29347 36070\n4573 86136\n74328 98049\n12802 44842\n74325 79552\n42910 80557\n9521 16066\n87740 94032\n12348 45008\n39675 40654\n14022 71325\n45462 65923\n3343 7289\n9155 84953\n55107 60785\n64382 87653\n71290 95654\n9820 90348\n10481 66166\n14385 92333\n3306 8305\n78107 95946\n20390 62711\n38446 48817\n66238 92519\n5009 94267\n51110 66910\n11466 51585\n17319 93344\n22354 79465\n37324 62553\n22893 58562\n11047 83404\n12823 34634\n83407 88834\n22385 62670\n27886 35173\n11036 88201\n20786 72867\n29591 54814\n23431 29319\n68520 94516\n92063 92515\n11692 34631\n61696 84549\n29903 68891\n15131 47065\n33998 47978\n48997 73555\n73616 97862\n5370 60409\n22302 90470\n22805 67462\n74433 99763\n58390 74673\n32908 97479\n12984 63427\n68022 76395\n8554 86401\n42403 56973\n39769 67880\n1533 61548\n7600 96817\n47169 76329\n58906 73954\n43210 53227\n56023 83904\n71509 86757\n56351 94398\n60669 63107\n73315 87757\n36428 97685\n10189 64957\n37315 49259\n45290 95803\n36754 45330\n39765 46694\n16926 70289\n34590 36466\n30134 53771\n81788 87435\n45356 58798\n12516 35597\n21828 23967\n42443 88898\n37127 63734\n90085 91039\n23270 97229\n6991 29541\n4360 39910\n23335 95456\n77822 94156\n15369 33079\n16167 63809\n36934 58509\n23456 48933\n2365 49405\n42313 93729\n82227 94566\n32625 69112\n30658 69094\n77807 82218\n31422 50642\n37952 78115\n36171 61263\n29831 39396\n29152 43358\n72208 87051\n44727 88974\n58042 66043\n19054 99873\n64468 81190\n16108 79631\n70119 77362\n18034 59212\n24526 91760\n66983 72032\n22254 87658\n63083 95986\n16054 63127\n20863 82927\n5882 56305\n961 93738\n88582 95798\n12518 46777\n54597 64991\n77461 85839\n25479 99224\n14039 80616\n22530 88817\n4763 33144\n25517 46458\n91674 96437\n26999 83218\n48854 77607\n21570 98193\n22384 45707\n85512 98421\n51315 98125\n1366 71214\n80151 99791\n25146 75179\n10843 63951\n20121 24341\n894 11212\n50536 67034\n67817 71229\n13766 43774\n57830 73842\n63027 75028\n76 41498\n9934 40134\n43080 77928\n62776 70772\n23585 54244\n7855 37178\n30311 38219\n26760 97882\n42765 93600\n68550 99287\n6969 87613\n2411 45194\n11849 96088\n22178 30576\n16917 64660\n1814 22894\n21363 34984\n52946 82895\n22138 89841\n20203 36744\n35724 79728\n51975 69677\n16755 89017\n13150 80412\n47743 69499\n289 60612\n6540 61412\n22985 68188\n17683 77762\n33193 37958\n19519 85447\n67945 84713\n26785 63836\n12482 30306\n9074 68793\n4978 45564\n43292 96468\n1114 20330\n40069 73275\n31857 75759\n39008 96155\n15675 40899\n91751 97236\n19212 99484\n26694 64542\n75204 75423\n9424 79953\n27808 40448\n9748 26666\n33 53785\n37051 53571\n16056 18109\n34350 64897\n59544 93138\n40209 53417\n80548 92506\n46196 78737\n64200 84010\n63976 94806\n20517 42523\n59594 65445\n81682 99535\n84369 89857\n86373 91125\n44310 97603\n36973 46524\n25959 65040\n19873 26920\n19683 27221\n14698 23392\n32041 35671\n20801 34261\n36400 59952\n12183 36548\n36271 79665\n6337 70859\n31583 89757\n6008 44887\n4947 45448\n34128 84467\n29242 79692\n75037 93310\n16721 70216\n1259 21243\n33546 34674\n51840 87222\n8654 85691\n17398 30165\n36246 88658\n61039 63771\n28392 69694\n22029 63976\n64380 64630\n42867 61526\n35814 82194\n34740 65924\n61286 94211\n4031 79990\n2179 55883\n7630 84619\n30519 64827\n6249 6575\n28386 95861\n53724 94785\n31789 68407\n64163 84373\n5066 74158\n13686 86438\n28195 45744\n37117 51072\n38132 95100\n65070 98026\n1565 61880\n21525 80453\n2899 95189\n43606 57590\n34333 95714\n45406 93239\n6585 65406\n50169 60681\n81337 88656\n47956 87175\n2138 50151\n35106 54566\n16079 41722\n53591 78808\n9050 83483\n20051 81522\n66792 69201\n50023 88474\n17334 23029\n42113 71647\n37324 89494\n29770 45567\n28618 68675\n4978 95828\n30909 65469\n84098 84147\n26190 96108\n36238 57837\n4705 11907\n38737 72773\n22474 32887\n38911 64707\n38730 70970\n20301 50338\n49696 66690\n17056 17692\n4918 48361\n2425 93089\n51074 91859\n63088 76377\n12719 18428\n4541 79164\n91270 92422\n21516 23438\n15537 91943\n39485 51778\n37946 70173\n12605 59711\n11168 51100\n23205 94437\n19721 91733\n36033 86290\n41687 53827\n42975 69647\n8121 14353\n73110 86727\n1847 67769\n12493 25734\n65502 65574\n9461 53423\n2438 64840\n9790 16773\n8560 10407\n753 28085\n14492 32690\n21374 28976\n35475 98197\n2884 25915\n50339 75348\n11548 88175\n45218 82800\n63131 80670\n10898 98004\n76308 78209\n80996 95049\n65554 83902\n768 55216\n49851 72578\n7089 50573\n31827 74445\n34705 63777\n27305 92716\n1443 80779\n75503 81321\n22741 53948\n20729 38763\n1412 6087\n75704 87325\n37153 65106\n67844 97969\n42618 98388\n52050 76581\n59868 71195\n29008 84678\n38041 68385\n25286 28040\n41618 86095\n33077 58562\n64158 73088\n55254 68200\n25890 40627\n82936 88605\n12685 94126\n27878 87403\n2648 74958\n52374 71690\n27985 32066\n40027 57954\n5772 17971\n76390 80064\n40490 82257\n27048 45756\n8693 66454\n51737 87498\n48088 71784\n3127 66911\n81174 99613\n41676 95219\n30855 58925\n22062 57563\n19681 63317\n13639 42556\n33301 54319\n72883 75813\n47162 74184\n18775 34681\n48824 52274\n4138 84975\n69905 91500\n38953 77859\n25433 46748\n33657 97026\n33677 74273\n1307 9748\n71127 81917\n33561 98875\n8519 86323\n10654 34327\n36820 39823\n38626 76984\n7544 40057\n36901 84801\n35088 83602\n32162 71677\n68825 88834\n36679 79435\n73919 88598\n41017 98433\n70017 85967\n27907 91514\n33949 89852\n32942 84029\n46022 47736\n23 94810\n30855 35279\n28412 79550\n17924 53476\n3854 43015\n77596 97686\n17885 64742\n42366 70774\n4273 71394\n9212 76075\n56915 66589\n66291 74486\n26251 39877\n72931 96795\n44252 88302\n22661 42923\n71978 97011\n80836 98516\n13631 21718\n26622 68288\n3227 41325\n4883 76026\n46875 51366\n55636 72730\n78567 82962\n55191 80222\n65100 77460\n1165 1184\n36764 82173\n71649 74787\n60081 60521\n17249 52427\n38782 67592\n88855 94383\n22317 75993\n62802 69854\n67307 87398\n9656 89110\n32246 76964\n59503 90375\n76393 87554\n77661 83656\n2709 84657\n80141 85723\n69233 80301\n12227 25486\n36708 39368\n27939 69946\n9191 72997\n619 95621\n730 42780\n15023 53587\n7917 82079\n2847 83676\n50518 93736\n35626 61900\n7999 54055\n14149 66849\n46821 99236\n9049 36376\n66277 81081\n56434 77451\n20566 83025\n35638 46181\n47297 97490\n6829 69622\n1834 65934\n15687 22098\n53940 84967\n43238 64619\n791 30963\n22369 29803\n17806 90259\n10816 19057\n13370 99331\n45985 77336\n90546 96999\n49748 64923\n3205 25225\n28097 61143\n58302 60006\n50269 84226\n25354 52689\n23150 26849\n87860 93690\n30934 47774\n49909 74398\n13696 35627\n6490 80004\n51376 70993\n17035 85734\n26772 78582\n16961 36145\n86317 86464\n41235 60464\n44421 96738\n2307 8168\n58376 74269\n30380 86869\n69972 76331\n3971 56018\n58967 87794\n38210 76413\n54488 89926\n45743 76457\n9982 90125\n8416 86308\n19073 32022\n11934 97052\n12772 60392\n8735 61373\n57306 95890\n30382 60996\n26531 46489\n44452 70418\n21288 44267\n61665 97712\n26935 58827\n14125 73035\n8250 61933\n70421 95692\n47389 48314\n3226 16831\n57259 58794\n40904 58785\n69194 73156\n21505 64507\n45718 90267\n6995 20381\n23683 46464\n3176 57800\n32493 71629\n17005 81290\n57526 63196\n56286 98735\n61498 97899\n76875 98201\n26358 78953\n11298 11845\n15766 49252\n60436 89045\n58057 81022\n13401 49172\n46396 94667\n31595 35020\n11289 26613\n65410 84228\n18404 87216\n9936 37990\n4096 28679\n19318 40758\n66775 83434\n11864 88275\n15852 74204\n29977 71638\n55075 95953\n30274 48989\n22293 82727\n57530 63751\n6109 21130\n43191 76294\n6336 77439\n19185 25780\n16265 16388\n41789 58949\n42151 64999\n26601 83965\n82945 89180\n3187 87542\n39337 53005\n61544 86786\n44577 74567\n15193 92165\n18350 36150\n62529 98301\n10874 86653\n7823 27405\n25424 77570\n17848 23181\n77628 97067\n45546 96188\n49168 87786\n51869 87205\n21244 67866\n9462 45562\n38218 42439\n2359 71083\n71641 77605\n6309 84264\n28759 80083\n8549 43718\n23285 27758\n4143 28993\n44643 59398\n13496 25097\n35850 54435\n87312 88289\n83445 97638\n46068 57023\n83428 98576\n2947 87806\n26680 96694\n4175 48456\n28280 40818\n47813 76743\n4249 20378\n4698 66953\n45848 76787\n46241 64437\n20087 62716\n17530 81562\n2161 12093\n8556 15203\n13367 26097\n2386 34097\n8426 94202\n10498 67556\n3740 4528\n9015 28913\n19758 46754\n29041 49095\n28464 67555\n41229 77009\n72870 87350\n27476 81757\n21571 47327\n13099 35109\n39917 55617\n43162 99524\n48547 75428\n9921 59289\n9488 86499\n49555 75818\n36708 52045\n28253 62616\n3111 49179\n59803 97588\n9046 61041\n2615 31492\n72767 90873\n22640 37898\n2232 83937\n36948 75840\n52968 67463\n22013 85517\n88216 95779\n32109 64766\n11599 34037\n1143 9851\n46306 97903\n51593 91177\n39000 81283\n95377 97161\n96157 98099\n21681 41028\n21432 32547\n60096 87027\n32566 43333\n27567 59116\n11895 60994\n13339 34668\n12870 76399\n22816 60894\n83244 95063\n5254 58257\n8792 47201\n61272 61521\n46147 62842\n3498 87205\n10951 32608\n30892 36475\n12800 17015\n24319 79102\n36 19650\n78162 89275\n12877 29897\n7343 10561\n19249 38371\n35724 75074\n38313 93765\n21777 88818\n8846 32483\n47817 50013\n12992 98060\n40340 64345\n51722 66793\n5698 49342\n13951 49617\n22876 62532\n44564 48789\n6614 31077\n23813 81521\n36464 81612\n23156 29639\n9824 12090\n16340 94001\n88342 92424\n60181 92988\n29860 68108\n9794 60224\n32986 81391\n4781 70173\n7966 9602\n16264 74223\n19772 34035\n12 41678\n24085 84600\n38685 38983\n55190 72988\n16698 67993\n31999 73265\n28049 28374\n33186 61281\n69758 73813\n7164 13672\n20833 96109\n40229 61793\n54266 56737\n66850 83156\n14565 61236\n59322 69737\n59429 95128\n35208 48633\n73000 85607\n21267 66161\n38229 57004\n52898 80197\n72340 93439\n8213 50577\n3078 20501\n74693 87097\n606 13195\n67764 88266\n22263 86325\n36977 99095\n20363 50612\n2006 19863\n41395 76118\n41474 50501\n64363 90815\n23109 32810\n30706 78026\n80659 86353\n8067 96824\n12124 99841\n32458 67155\n57998 88074\n48155 58324\n53250 98207\n85446 94261\n44217 65925\n41759 95370\n13055 37397\n22716 37550\n45308 51183\n12471 23600\n70338 95355\n36842 61755\n13315 17131\n11216 20530\n35117 91277\n39802 74988\n30441 56225\n18496 35384\n56391 56575\n29054 60899\n66846 82862\n4512 29763\n70497 85013\n5795 17061\n22671 80608\n16107 57398\n18497 63831\n46796 64817\n2517 92348\n38859 69856\n71058 88021\n88271 92120\n9705 12036\n68194 68215\n24435 90355\n49309 89032\n11743 73324\n4658 98889\n51205 69001\n46204 60943\n5251 13769\n44519 52604\n9950 46445\n1932 75975\n27060 40599\n13025 31882\n36086 99169\n53122 75559\n3078 86030\n45315 99374\n49574 57527\n39333 79542\n50102 56611\n9645 74493\n16659 45185\n84670 90412\n37541 84560\n21165 49492\n38004 39432\n24943 55604\n43395 50439\n717 41372\n56737 98704\n19589 96993\n34022 65242\n1832 80718\n10894 75880\n1567 7910\n64644 77866\n30772 39565\n7575 74541\n61991 62520\n10977 77921\n20516 37310\n13001 79711\n59231 78370\n1985 41874\n34809 65260\n69883 95992\n39121 42103\n3832 34064\n29341 75508\n21184 68750\n2142 47406\n38045 46942\n7465 12386\n9972 26194\n24220 90686\n81078 82981\n38582 72568\n19016 41326\n21217 92303\n83665 95380\n41179 52742\n36489 47546\n8221 37039\n23336 25168\n17959 89449\n47734 87492\n10391 57812\n4357 29178\n11562 77348\n204 88898\n49049 92276\n8249 79996\n27791 96915\n38399 74970\n22032 58976\n4837 63192\n58200 58869\n31429 42135\n455 67914\n5460 6422\n772 1844\n79179 88914\n17537 31341\n39036 84584\n15947 86650\n48687 80402\n15621 74358\n13440 90415\n67223 99090\n42498 68117\n82713 94101\n56029 59654\n57165 62119\n13742 68567\n21027 52029\n3266 30188\n9722 86008\n47252 53758\n22522 58757\n4593 4962\n95513 96524\n3164 23828\n13969 79889\n522 58397\n19920 68044\n53647 54865\n48232 76121\n82851 83413\n31817 36641\n37031 42533\n15284 74910\n11878 22791\n15301 93259\n46034 72769\n15838 55179\n24477 52489\n57636 61940\n82879 91499\n5972 85291\n5763 53577\n94689 99229\n90709 92666\n42046 43279\n44447 67290\n83199 95707\n6316 74960\n42055 48798\n897 17305\n22147 45641\n22707 99120\n38599 47768\n31590 67219\n4620 67428\n18634 58323\n21789 33159\n14765 91907\n26408 78140\n26551 78120\n30747 61259\n22363 23890\n31630 44711\n2337 84035\n46596 65812\n6769 35785\n21203 91162\n17070 24893\n16757 51987\n31046 45938\n63513 80198\n29926 43851\n38921 49885\n54856 65610\n32336 69120\n93805 99377\n67496 97792\n44861 77837\n64067 68912\n21779 87250\n27168 53991\n23943 49404\n33867 68393\n22860 84226\n63425 93250\n19648 33501\n56525 88631\n15558 17541\n7476 97644\n6208 84525\n6747 27788\n36135 66537\n56531 77181\n5179 73876\n24467 77202\n35219 95833\n40201 53304\n70147 89156\n81721 91962\n52397 99822\n81816 83921\n24768 89290\n28277 44890\n71781 89238\n68826 78599\n2401 63995\n76088 85208\n32141 91060\n8212 62933\n8331 87007\n89882 89885\n21300 33728\n26300 31231\n26892 87634\n39761 90702\n3346 58877\n33393 62456\n40518 48073\n77808 99092\n48231 59991\n75637 92331\n9719 69319\n15139 42405\n25410 45805\n36434 42122\n44691 74469\n409 30376\n43417 49174\n76663 97204\n8926 91663\n16094 33092\n29548 37980\n51197 68908\n41877 77067\n47600 74295\n7034 18191\n35218 50209\n51288 67734\n41111 45835\n3459 92536\n2234 65962\n11158 88484\n21353 56127\n5298 26512\n27118 96787\n5527 50827\n7012 48180\n13484 28007\n42994 98317\n47709 63952\n35437 60633\n47220 75950\n38634 55127\n6979 66614\n21247 36628\n83759 85277\n18212 56235\n67163 97069\n71743 93175\n683 17952\n53556 89377\n55102 84136\n1450 46562\n8617 40181\n57247 59634\n63538 73173\n49276 87470\n25905 86341\n49221 73241\n70271 85594\n29153 77641\n30137 61012\n984 75370\n88027 99945\n23531 50280\n7127 41391\n19024 19330\n9243 69645\n41654 94909\n42275 67378\n47563 89312\n43668 87174\n55150 93836\n8782 71788\n36724 79687\n12166 20306\n31126 40370\n34795 38881\n66779 98605\n84148 94482\n60860 82024\n40412 99013\n8533 17831\n58670 95140\n66168 88529\n64483 66705\n50610 95798\n38706 58901\n25497 30635\n50378 77958\n18646 33607\n39785 64872\n63470 70788\n10507 88326\n14353 71264\n60733 87890\n63585 78385\n6913 7985\n80878 80995\n31318 52669\n45552 76264\n92119 98582\n60628 60973\n38751 83565\n19366 46483\n43777 60119\n64801 86827\n5483 48690\n1931 60577\n19416 70207\n28643 44612\n16148 36567\n75834 92354\n10093 46407\n28854 37639\n32475 36706\n18572 49832\n36992 90941\n45507 87142\n52186 63622\n67792 94171\n31893 37774\n15029 21805\n8982 83895\n67157 92844\n17620 22084\n47504 63309\n29818 71895\n31280 69827\n35908 71139\n13082 94169\n8591 70758\n18991 88541\n65445 97061\n24303 95630\n66754 83061\n11696 33229\n50250 90979\n49221 70895\n52925 55354\n22259 37313\n42263 78830\n28000 86443\n58298 86026\n4181 51239\n9517 66404\n42835 67179\n459 3993\n38889 58699\n9530 51930\n56297 93517\n1211 97473\n61430 64121\n1421 16088\n77416 90646\n7254 47461\n40273 77323\n49668 89154\n2617 21862\n42783 49475\n14593 37180\n18332 75387\n8075 22632\n15426 38418\n62419 83070\n93115 98873\n6170 94135\n63130 90218\n74615 86270\n61989 82312\n119 21788\n15608 40590\n94032 96860\n7587 54494\n87500 95148\n52880 59764\n68067 87923\n23827 47924\n50951 82037\n45660 64245\n15276 85484\n9296 82727\n39435 82265\n17119 34649\n7941 28775\n79499 91788\n33184 91079\n1131 91159\n11951 48853\n84193 91101\n7829 34426\n18952 94425\n35574 51926\n29858 81823\n40361 56307\n23409 27644\n38442 43930\n45278 65170\n4842 85026\n29190 61241\n67 27125\n18502 51184\n90244 92480\n62219 72828\n76576 96242\n85591 96235\n23209 71280\n19351 70714\n85366 97017\n27274 69214\n45054 51733\n43929 50430\n27506 93600\n13446 61654\n28303 40565\n3073 54422\n16888 93622\n22558 96040\n4552 57840\n5608 20325\n15053 71147\n86456 92224\n21549 36374\n63137 68832\n83423 84998\n73103 95139\n21361 73264\n19618 85452\n33816 44725\n13334 88317\n18795 27473\n12081 73720\n68409 83835\n56035 77696\n21034 93589\n16254 19764\n22235 91909\n79655 82253\n34400 94541\n6983 25399\n56568 69889\n9919 74744\n29528 68392\n45738 72833\n48258 68198\n19075 45003\n61577 79501\n39233 73100\n27216 77434\n16203 39263\n5203 87898\n31221 48870\n40659 43442\n69983 82201\n12788 99835\n59676 97636\n7611 39744\n33483 80818\n16934 75188\n19355 81008\n58759 71150\n26817 90418\n75291 80937\n33049 70408\n60153 92965\n70148 73665\n24969 53077\n32287 91887\n22752 62814\n66957 84952\n6763 56665\n28553 94848\n68575 94131\n22425 54785\n10251 86996\n67684 73539\n4696 56425\n74821 84718\n88760 91643\n58862 87521\n82898 99162\n6123 50542\n21871 24039\n30569 96843\n54708 75364\n28397 74263\n42735 76616\n58164 92041\n59288 93310\n2922 5560\n34079 91811\n76325 97870\n12342 12747\n89844 95573\n29625 54286\n23890 63235\n45880 90637\n14447 84308\n34334 86935\n2898 93613\n13404 22969\n5957 17350\n32527 95191\n12700 38702\n8295 15674\n7363 33313\n20041 65349\n3158 43929\n15678 42180\n44075 99974\n28116 75057\n10711 27780\n25786 52086\n12801 55395\n28198 87208\n57515 72840\n2450 87194\n6636 95715\n30190 43657\n21274 27533\n29524 38932\n14053 63449\n47262 78353\n10755 22205\n11442 39623\n20127 42045\n364 77873\n4462 89291\n69804 91797\n49338 65887\n8638 96986\n29050 85569\n18986 87110\n16354 21473\n10643 79177\n28569 38491\n11499 72596\n40951 79324\n7379 47172\n8555 21194\n43471 99520\n9487 16608\n61007 97119\n15021 85882\n18193 43249\n25975 86264\n15640 78227\n15561 96052\n48107 86553\n31449 62661\n20000 50737\n17183 76932\n37510 45261\n75506 94577\n7002 90551\n13187 64883\n285 37813\n19916 29096\n12548 68111\n8109 74373\n90720 92643\n30069 61004\n39150 59889\n18265 93489\n28786 42425\n48699 92293\n93183 98350\n15961 95385\n16258 35876\n27567 50568\n54978 85724\n4403 63573\n38423 88550\n31341 53063\n13276 50599\n63314 97384\n9039 22336\n35917 46766\n26591 49856\n33215 81143\n34961 72148\n82950 84187\n3876 72350\n19584 27062\n84329 85309\n14714 82650\n19865 96851\n22039 68662\n15911 19617\n32819 71414\n9811 81711\n7177 72238\n79803 90429\n37199 42171\n1492 99602\n54630 95408\n14321 95623\n27774 62422\n14786 86111\n46548 64641\n50270 51992\n32304 47765\n39874 69472\n67648 98325\n38959 47078\n3502 89865\n66446 72958\n52868 79188\n8660 80070\n9151 25408\n15790 58386\n38595 90820\n606 36027\n65666 94685\n65098 94187\n25166 72493\n50927 74709\n68957 72415\n12035 23324\n9797 73783\n6096 64154\n9118 80838\n5512 19733\n13247 18639\n77846 83494\n50016 94911\n24491 44076\n1617 31308\n73678 89035\n6795 81621\n61738 88188\n20632 47428\n78064 92179\n17291 50782\n58616 79150\n50648 81355\n40910 50037\n64330 82507\n6697 80650\n22600 37917\n62254 75513\n12750 63344\n21489 94731\n8794 42692\n61675 68764\n7967 28895\n12371 57227\n51050 93680\n33290 90559\n82156 96081\n40710 56894\n10443 83538\n40076 43731\n18453 21794\n2759 64574\n71945 74872\n70610 77142\n15627 59396\n26777 63613\n53954 79940\n46574 79616\n4888 83932\n14730 91040\n24496 86513\n18408 25692\n17820 29079\n33250 38898\n375 85014\n29752 32359\n42506 57255\n67262 92996\n70058 99308\n11774 56523\n814 78329\n11332 68767\n39971 96461\n80988 98574\n28055 29512\n31620 72369\n26398 49252\n17650 43258\n59601 81324\n25549 64359\n35824 77803\n49471 98735\n7770 61129\n8221 14496\n41580 98264\n48762 57307\n43369 70472\n19925 55481\n17993 98869\n6558 13366\n59760 89565\n7107 83891\n57157 92398\n21429 41126\n52462 86040\n8801 45997\n14586 65213\n5072 31642\n24893 76453\n11139 64037\n26724 42282\n67221 94346\n5053 48560\n84151 87735\n24422 85937\n19169 62277\n63042 74487\n9621 81662\n26301 42290\n29207 54501\n38312 73100\n20488 99761\n12509 46193\n5913 78422\n44335 67029\n64010 66385\n41735 54889\n11650 39319\n18145 91594\n38192 78382\n46979 75717\n40387 86202\n29222 40955\n15247 49240\n36097 65708\n728 66944\n34815 86719\n4163 95766\n17005 35781\n20488 95757\n32418 73146\n15383 78895\n90432 96160\n10584 72776\n45253 56906\n23522 50024\n32981 57170\n1161 36189\n11105 15856\n91623 99546\n14999 40416\n51550 97819\n16478 22001\n12304 33601\n26310 58603\n4687 30474\n45437 53882\n18605 63593\n12210 61164\n46724 61324\n7870 59139\n3374 87698\n29307 98671\n18054 57119\n13632 16835\n1129 41520\n2609 60214\n49927 90856\n61633 89419\n25302 64651\n5560 83994\n38389 65472\n9708 24091\n63044 99864\n3226 94088\n31212 31250\n55336 80264\n61213 67325\n89489 96230\n27128 86137\n25168 36883\n399 36653\n69775 71771\n69541 83836\n971 19416\n77980 86253\n11855 21800\n51488 78120\n55674 64656\n6179 85386\n9012 52454\n7989 82982\n20636 36650\n54380 73972\n93063 94582\n39020 76742\n86728 97437\n53420 91559\n45388 72006\n85852 93399\n2248 35577\n8878 73992\n70211 96124\n3676 8458\n12539 55498\n48568 97162\n61284 98742\n16130 22928\n46346 95114\n48518 58538\n35517 82968\n40015 87770\n66109 95507\n87820 95820\n30135 71477\n7288 26575\n6416 9682\n47257 89437\n60286 70311\n62932 69426\n44009 74961\n30868 89047\n1050 66432\n45102 88799\n183 49236\n3372 57444\n44634 57105\n25740 98802\n26347 90663\n75370 80149\n8733 52985\n28879 64375\n72666 99642\n13281 91604\n8485 19152\n28502 75391\n17158 69160\n13583 23294\n22532 25110\n1803 75352\n42672 74174\n19886 35823\n58610 59565\n31541 50746\n42630 51840\n15384 19083\n23572 63221\n68073 80502\n66540 80997\n51947 65795\n25357 86042\n61304 61957\n33908 90696\n17572 45237\n29369 99779\n13703 98306\n5455 81998\n18753 38237\n14702 33450\n72074 79744\n41597 96527\n28600 62385\n1217 84415\n23826 31840\n12381 82452\n8863 78073\n3954 58300\n5241 36249\n34727 48249\n7379 83566\n25184 91217\n62906 67950\n50552 65340\n3138 85059\n7268 43466\n20142 21440\n40947 69337\n27774 52592\n58913 98511\n8324 81923\n56529 57427\n21098 21409\n5625 45182\n58575 75498\n28012 34072\n78215 89919\n72402 87076\n86443 96385\n23411 97786\n1701 39659\n35932 65120\n17858 33441\n24246 83903\n1121 84925\n31069 94247\n56770 92149\n57950 68625\n62533 93049\n34576 60973\n26026 95773\n3475 74704\n32771 49488\n62348 74836\n28311 30656\n15730 58243\n94546 95213\n54250 59258\n45136 49785\n32231 47555\n51296 53808\n37628 87870\n13641 37955\n70763 92777\n28247 31183\n6700 75451\n50149 62172\n22673 23972\n1870 88142\n17238 92361\n64654 87214\n5037 18438\n51085 69026\n17880 33326\n82109 95245\n80973 96072\n51883 92701\n8154 57118\n20058 64462\n70955 95422\n61125 89833\n20498 21260\n7552 74778\n78241 99185\n64895 91101\n67170 86687\n93545 95515\n24364 44210\n4053 91154\n3350 96548\n8896 78145\n47965 64015\n33685 39731\n25330 46982\n37362 40054\n46217 58246\n29511 52745\n13700 70877\n37538 68437\n41885 45795\n47021 90514\n59866 86920\n14477 58497\n6625 14498\n51141 98371\n23438 51756\n12854 98863\n13802 54084\n7104 25993\n5296 72000\n30326 57218\n14823 16423\n71741 84195\n24474 42143\n40163 49351\n22678 91186\n56689 59021\n27901 81656\n38330 44767\n31550 42907\n42254 60883\n64565 69954\n68468 78461\n4968 54739\n4290 25337\n47060 65966\n56295 87309\n40024 87301\n14655 72786\n48015 71710\n2440 77141\n32676 81314\n62802 90820\n35107 49631\n61373 78442\n40799 46353\n77 33086\n17227 83890\n33493 87137\n70410 75435\n24481 53626\n16298 65240\n58188 64358\n17782 29773\n33857 46934\n44117 70219\n10267 54514\n1555 79593\n25272 82590\n44236 74162\n11399 42933\n17563 72179\n23686 97752\n65960 96993\n89203 89297\n6632 66093\n65908 94267\n10448 92313\n45986 98487\n10939 51035\n14358 79779\n13538 79551\n22920 70863\n22916 23276\n64464 73623\n28822 98745\n47918 99625\n34740 74037\n10890 53152\n90364 97977\n57036 74777\n12123 94226\n78024 80314\n17079 59529\n27572 95955\n21392 99710\n43842 60740\n32989 78852\n34410 35737\n3769 72589\n48967 93620\n28603 67189\n16143 45323\n35952 96406\n847 87005\n68464 92810\n55291 81375\n4294 22122\n3796 50282\n44016 97089\n44329 46453\n39550 70630\n23052 38599\n2012 15194\n36982 84995\n28584 56008\n30189 32136\n46464 65133\n41531 68629\n41833 57374\n10848 15919\n85147 86634\n39161 85007\n58141 96419\n8027 45356\n7864 17068\n64523 95517\n34930 83944\n53805 62228\n16288 79864\n67747 79116\n23876 73124\n76383 96456\n8785 28938\n30903 41641\n8450 88516\n7824 85601\n12909 28035\n15170 28376\n26116 33982\n22614 85350\n23833 42846\n3340 26391\n7441 65750\n74329 95796\n39614 59292\n94342 94671\n41694 75390\n53902 56231\n18759 20021\n18408 50430\n36503 60222\n12974 56326\n5794 21394\n88476 89845\n1662 47642\n54100 81908\n56367 94155\n2120 17624\n3957 4252\n50784 53685\n13694 72816\n45660 76859\n29784 30115\n5942 97913\n7984 91430\n51491 98656\n36656 52730\n11192 63130\n68512 74479\n61287 62227\n31786 34300\n28567 66945\n85807 94739\n72092 94407\n13965 81138\n84891 98290\n20849 84937\n291 32519\n30811 79800\n19541 95618\n40199 95927\n26704 27268\n2107 69493\n10133 41324\n51238 59507\n44811 89903\n18490 31256\n92273 93617\n71974 98880\n13817 34207\n41164 95544\n55237 95165\n25169 38734\n37743 94629\n74371 96394\n49653 88145\n54714 74625\n95631 97582\n50447 78726\n47075 84506\n1342 84240\n20210 26576\n47364 67866\n55056 81930\n18355 33051\n21325 72225\n75 90698\n12602 33870\n21419 28423\n23181 31719\n18716 62672\n69089 79875\n45080 92626\n83874 95499\n6086 22487\n85565 86752\n32812 79972\n55833 77327\n59812 75536\n17349 66962\n677 81540\n73673 84155\n8998 15342\n22820 88296\n25163 55052\n35027 81027\n54615 97513\n60029 86851\n47532 85565\n76572 95733\n48151 73355\n74490 83934\n22766 70893\n21646 30646\n5278 13806\n30462 94476\n11922 94786\n32503 86516\n30509 54489\n36208 48015\n45215 94915\n5103 82257\n30388 38762\n5730 57477\n80518 82004\n22577 98440\n19732 87029\n40500 67612\n82517 93716\n13294 80851\n76359 81127\n41191 47191\n50084 60963\n13969 23850\n68619 88472\n2912 99029\n36332 75409\n71551 97510\n5611 75230\n24111 86967\n21539 75554\n2623 35868\n20602 24802\n10829 22694\n98263 99200\n70142 74247\n3059 36864\n67514 85819\n31576 80191\n3284 89082\n21561 47782\n46496 53341\n35860 51258\n34052 36703\n24806 43687\n30870 96314\n22848 50983\n59512 82985\n25010 38917\n38942 90001\n35246 81721\n31713 70050\n28842 31242\n29040 96568\n1614 43207\n14266 21283\n54417 68480\n6211 34457\n1174 96975\n39095 42353\n21680 25749\n7941 70923\n65855 96356\n16273 17794\n23651 32927\n65155 78319\n44221 92121\n66742 96176\n742 83669\n10966 22752\n58165 95067\n73480 80535\n12099 38411\n24109 95269\n10013 63114\n14641 89518\n30785 90448\n36608 75997\n47438 99077\n16743 86299\n62041 86387\n13493 83756\n9680 17701\n19811 38635\n30815 35022\n4476 46052\n5836 24503\n23880 37451\n10189 48950\n98278 98815\n1547 10877\n22915 31233\n23216 50491\n47741 74770\n27801 85698\n23956 94410\n3555 72979\n35616 76341\n32096 80711\n19492 20152\n42853 70376\n40796 46492\n8272 49210\n36404 37064\n7506 42611\n42286 44521\n88598 93754\n23599 80785\n29895 86891\n22831 70321\n34545 40359\n42078 92561\n44209 53616\n19943 80563\n46322 52921\n27095 28217\n7498 34445\n31788 48676\n8037 23733\n16799 70557\n32812 33350\n42240 69810\n23622 48198\n55562 81559\n50861 97083\n18158 20583\n13464 89924\n22155 26221\n85436 92036\n44030 73382\n22285 96068\n30828 52871\n11823 83441\n7903 21204\n58188 85832\n14524 16829\n49589 68781\n17953 72057\n19113 97285\n55146 80044\n84533 97273\n41718 81021\n556 7297\n12228 64381\n10764 35790\n15094 86989\n93812 95020\n69445 91131\n21644 93651\n2119 2341\n87095 90284\n5212 22160\n11425 37124\n49986 98134\n51522 62481\n9653 89383\n4164 78407\n64916 82240\n40565 73263\n8548 63912\n17146 32630\n62399 69684\n66139 96482\n53045 84281\n29170 43919\n15851 86571\n49928 78502\n35969 80777\n3326 22850\n9193 63515\n60898 74563\n44975 94677\n67959 88673\n17385 27445\n27731 71795\n24167 96303\n18704 87913\n18297 78456\n11616 22784\n25549 25943\n49638 94892\n38065 59074\n53984 62791\n1567 72170\n16342 81643\n25056 85809\n42935 49337\n6222 80786\n77029 98706\n68847 83199\n35899 46743\n24670 53510\n21934 40395\n4674 95551\n16621 74304\n14540 42891\n17778 39905\n38574 40286\n21990 42182\n30034 75595\n20201 90379\n65331 91376\n87108 99982\n19156 33566\n25080 88542\n62629 91738\n5818 57488\n51384 54068\n20580 33086\n19004 29763\n14496 92642\n62487 94042\n18464 40421\n34441 63147\n14130 35612\n15264 98137\n18922 89270\n31565 40151\n45522 71631\n51007 53740\n11921 39451\n66975 82775\n4043 38957\n24224 30007\n19418 97625\n16026 39930\n39230 74380\n37446 42168\n22161 74401\n41486 68850\n65171 89669\n19396 62417\n1772 57404\n67951 89425\n59007 67397\n81190 88347\n11643 27929\n35041 90099\n62713 95678\n31603 94786\n20871 47958\n4000 58028\n76664 83807\n190 19849\n29650 62864\n36192 47611\n3156 55369\n9606 87361\n27182 47483\n37491 96088\n9923 85169\n60473 99480\n59862 98714\n58965 61490\n55729 93019\n14831 74764\n8027 42841\n29353 99972\n44544 47467\n30706 85674\n32196 56321\n52189 62763\n45214 84567\n28287 85944\n5773 81852\n34195 65681\n39517 84063\n68499 78045\n68220 80012\n5093 69371\n1580 33906\n50621 60696\n14020 18858\n8858 79201\n68698 98997\n18153 72129\n6872 53070\n46319 59618\n37871 58718\n27142 34237\n41555 74259\n33160 99026\n54943 55547\n66337 90425\n18034 56891\n9127 73452\n55796 99146\n94608 99713\n17159 88413\n30691 66503\n29318 75445\n64487 70723\n62094 70481\n78517 81597\n28756 87740\n64688 99985\n55191 62442\n16778 91009\n35482 39996\n35533 75942\n32186 74479\n60066 72293\n10093 44663\n73326 93893\n8732 11612\n76832 78985\n30445 81009\n512 96448\n25798 57531\n94896 97955\n31050 58746\n78982 99485\n23362 47642\n9490 17987\n14887 91478\n7230 68389\n7750 25191\n32798 33399\n38327 48224\n22325 35724\n17902 27997\n26459 90604\n17413 20089\n74756 91345\n34303 97956\n12843 49934\n11258 99630\n4340 56884\n38606 83347\n46525 77159\n45318 59886\n6425 45654\n32113 54799\n60285 98569\n26375 99805\n66229 81322\n32211 94038\n15737 57932\n13580 61444\n34462 73257\n60283 99924\n4583 20217\n31314 81566\n4514 7520\n38864 88242\n27252 49556\n49906 66862\n24915 30848\n60731 89799\n32085 41332\n29432 72447\n2520 33494\n22660 56045\n89115 93729\n34028 94215\n55843 71410\n68490 81563\n69782 83733\n2851 79177\n67211 72446\n12329 98149\n3580 77598\n12942 21713\n32690 99629\n18594 95188\n17097 97623\n17704 54658\n53190 66954\n41753 49364\n17058 37621\n14762 64839\n30632 31303\n68015 83834\n64917 79615\n59967 61572\n20361 61188\n35445 68557\n25603 67509\n16603 72094\n16858 73558\n44578 61578\n22746 68526\n1832 33801\n27705 52000\n41981 71267\n53800 58016\n7809 56837\n28151 34054\n21506 44566\n51893 81206\n68972 69323\n61335 84999\n5357 87732\n24250 46045\n25208 65063\n84139 91010\n49978 95740\n36592 61195\n19343 95727\n25162 40307\n83400 94655\n22349 47930\n28725 97029\n614 61249\n966 74755\n38466 74753\n6223 58594\n50047 95799\n40330 96796\n23390 33886\n40258 95806\n9474 44282\n16339 38107\n55127 82548\n41773 63645\n20877 33610\n28001 98886\n7471 61694\n1128 41633\n85109 95582\n38309 47102\n32637 70950\n37255 38630\n25230 38950\n7976 25433\n15093 25136\n25577 33679\n54867 76455\n12432 71117\n19879 76739\n76663 86762\n5655 59987\n37845 60583\n44478 83074\n10852 20589\n46275 70612\n9505 39829\n56979 58699\n34238 44396\n83558 98730\n9638 55322\n61826 92728\n4807 36962\n7681 67846\n3732 84597\n33157 80953\n26029 56649\n49169 57946\n32324 59694\n1852 72580\n55131 85978\n67206 81547\n23721 53649\n84802 97193\n57528 68399\n46103 91666\n13268 73820\n63310 80852\n46167 66240\n13273 55208\n14775 99411\n3098 22258\n21694 59789\n41664 50709\n9253 11139\n53141 91891\n41364 67122\n71455 75081\n53800 81000\n22268 35431\n7383 46705\n53529 78557\n59970 66493\n40226 82602\n83368 96003\n34426 52458\n33087 57069\n43250 91973\n3739 18064\n35672 56358\n68953 88759\n21914 67727\n34525 50005\n74839 94493\n79335 95474\n7327 85027\n300 60207\n34422 88581\n35815 73119\n12275 18422\n8758 13285\n10624 47081\n5403 21114\n19861 97791\n70324 95629\n47464 59995\n66729 77961\n28979 48380\n1005 47175\n8840 71521\n8393 84341\n54739 72924\n29178 29545\n41291 50497\n25274 55799\n59342 98697\n20861 74078\n2764 12893\n11048 93145\n32226 76751\n52509 80865\n68368 73417\n2292 11167\n20146 37660\n3261 8484\n1478 12258\n11894 70179\n3452 86865\n56085 70546\n47761 70287\n66412 66506\n75904 79686\n14610 67462\n42037 55033\n30874 46610\n47105 67272\n77424 82193\n9726 27885\n11131 73759\n52337 70755\n32599 79371\n11787 22442\n13243 86531\n34225 54032\n26764 98862\n84531 96379\n79984 83657\n10468 66693\n22386 79699\n28758 31391\n60614 89401\n37892 39306\n9214 67777\n33276 72755\n36072 92283\n44336 63777\n144 82372\n6363 17583\n22027 94368\n75496 80197\n1693 20851\n33210 95729\n251 47321\n48515 70596\n11158 53422\n22365 64218\n18439 77858\n17771 44081\n39080 79126\n41006 93929\n50039 87232\n3131 42694\n46026 87063\n2911 63491\n9045 82211\n76085 88485\n2495 21984\n34323 97568\n4104 40435\n42063 95990\n17641 42493\n58194 75145\n2994 31390\n22806 60679\n62950 77576\n57789 91233\n84800 89949\n48661 86277\n21631 52116\n49772 95536\n16176 76961\n49455 63195\n2199 49909\n48860 53153\n67824 88628\n80113 84393\n47504 69958\n4071 80177\n89013 90255\n2630 97374\n1346 91007\n61920 83728\n96249 97929\n28143 85944\n10321 18358\n44259 97011\n68858 73789\n12148 83702\n37489 71033\n14041 77187\n10677 43365\n42156 96075\n24718 67962\n17650 73300\n27956 29780\n32420 39457\n9752 39671\n45216 88834\n24905 68034\n40938 50582\n3173 4949\n33982 59864\n9348 36513\n19740 28431\n24916 85760\n75053 79346\n39409 58848\n26522 38862\n2285 89687\n35907 76769\n69092 82669\n13676 96894\n3915 6402\n26341 32827\n43594 67513\n18704 43783\n41025 54559\n1296 45651\n49338 68838\n48249 81966\n7905 21038\n12092 27315\n22453 91918\n64123 68067\n39133 76502\n75828 82196\n59544 71083\n27318 67782\n19467 85831\n45951 54746\n10824 43005\n18741 31870\n40714 94269\n105 30825\n15803 20689\n30245 99152\n16816 41089\n36765 86653\n32821 83590\n58932 69128\n11910 34336\n10833 77190\n17127 78450\n12688 97113\n40723 81756\n1896 23583\n17206 36062\n16277 95958\n55217 68121\n39905 95311\n31692 81982\n30804 84646\n59413 65256\n16553 55293\n63806 94180\n12069 20530\n41498 70199\n28290 99652\n9922 39749\n16663 31761\n12864 87760\n62479 85846\n8653 47537\n52188 68717\n10311 56865\n27922 68220\n30438 56851\n1458 71044\n70221 94808\n31222 84484\n9344 13832\n13690 99299\n65593 86453\n47478 89202\n41181 85640\n11782 41851\n7557 12418\n48988 88239\n50435 52191\n31696 98635\n67632 99356\n13753 83471\n55307 71914\n61290 79149\n76809 96044\n17331 81217\n9855 60884\n5359 30123\n18771 42778\n2848 75993\n49424 67922\n12214 95413\n12727 76523\n13105 82119\n59761 91314\n46741 86127\n74215 80651\n76190 85139\n64428 75430\n42053 82355\n68905 96454\n37589 76612\n36357 56102\n65322 80281\n8694 50848\n4146 95075\n57121 94744\n62703 79782\n16648 35306\n18013 64776\n37659 66070\n64401 66338\n26747 89196\n27778 65792\n21708 78544\n15959 96933\n27088 43172\n36045 91808\n31995 51388\n36946 63819\n11002 31425\n59325 90888\n16972 95988\n14414 93271\n19168 32327\n8666 10030\n5746 53068\n17675 26388\n20148 30775\n17773 68272\n25808 66511\n19965 90818\n2162 57135\n21518 42609\n13402 90789\n43698 70853\n23140 72863\n10166 83973\n36976 95526\n26291 66433\n33843 61164\n31951 44648\n90567 93507\n24389 61495\n7698 68000\n49899 96075\n32279 61110\n8562 48783\n13236 53156\n18951 93889\n26047 42920\n25510 29939\n31148 55260\n17311 34297\n9443 13907\n35518 75452\n49377 61543\n69736 85407\n4946 21306\n4201 56169\n34731 44626\n60827 65257\n17610 52385\n46337 90830\n85756 94721\n14351 39386\n6350 56629\n64667 90190\n32907 34566\n37975 70255\n26605 37707\n56501 81932\n22630 28545\n35137 97351\n32661 38059\n6722 60772\n12018 77223\n42549 62526\n20767 66287\n53354 62514\n15450 41193\n5650 10281\n31100 32886\n48532 98105\n64832 87619\n7984 41685\n43958 91093\n35979 73673\n57 48557\n9362 35208\n39558 48312\n11107 19257\n46685 82419\n22544 43155\n54748 67789\n23793 64526\n39200 49835\n34004 94277\n45780 60245\n79916 82068\n10232 90469\n68699 90209\n34933 95225\n21615 25038\n47797 85355\n49049 51920\n27463 66761\n8035 76782\n3003 48539\n10892 63788\n24241 53287\n35019 98542\n36733 95928\n22114 25807\n15399 70551\n62540 66032\n18729 81107\n5436 19091\n380 57476\n72702 78365\n59764 61582\n39726 85856\n1137 58593\n1089 6186\n57972 91802\n30572 89415\n45266 83955\n571 7862\n66748 70854\n65946 66171\n6209 26833\n47275 92170\n43471 95072\n30426 91746\n86428 99919\n603 18789\n31330 59130\n77739 91616\n29525 32606\n13673 82850\n50752 57870\n6345 99112\n27116 36321\n33365 33749\n19926 46248\n23189 79975\n30393 31691\n9151 22068\n10959 25146\n11324 63363\n13025 85043\n74751 77448\n9742 90133\n22336 41738\n23490 84984\n43827 76890\n29604 45173\n17309 52682\n61919 74239\n60273 85452\n59591 62685\n3623 9428\n56494 72388\n17539 20343\n298 18674\n25573 81475\n56598 56867\n13464 57362\n66442 74032\n20560 66639\n67004 77583\n66755 87780\n63011 81005\n57785 92732\n46901 70566\n32017 51787\n43004 66324\n163 75927\n7432 28808\n30424 85547\n54946 81595\n35626 62725\n65685 78761\n47975 48092\n14231 46469\n55710 86003\n18279 71507\n46968 71753\n36627 56069\n12497 52842\n34955 42524\n2692 5292\n39534 95469\n59871 69745\n37919 82198\n41196 51326\n1105 28478\n7683 12887\n26193 96403\n2937 30821\n12273 73879\n49671 50857\n2220 65414\n14398 52302\n23810 99250\n11030 22996\n19349 40676\n10369 73938\n50944 92643\n42747 43301\n27642 87920\n20729 24928\n5502 17386\n14498 35658\n80297 89802\n4311 59652\n55094 57135\n60833 64920\n23091 42410\n7858 25935\n56437 93253\n10654 14633\n44865 61107\n55325 65793\n43852 53190\n27014 71775\n263 22403\n30728 57324\n37165 72437\n60687 87824\n59685 68938\n56082 73588\n74983 99166\n72637 83621\n4615 61179\n1148 17084\n86266 86317\n54241 73078\n34901 46228\n11043 97761\n16104 47962\n58086 89798\n76278 97641\n22162 89794\n11245 72428\n30077 35387\n66331 98070\n39726 93432\n19294 93710\n22021 36002\n6346 31511\n38461 97296\n5856 81426\n40882 50137\n34837 68632\n35552 94243\n13586 52790\n37317 83697\n65781 97487\n37013 88411\n55441 77173\n15146 72391\n16979 71026\n64871 93301\n97750 99897\n34092 62244\n80126 86089\n62820 76399\n15459 28772\n29334 94209\n65863 89364\n27252 38257\n40088 91087\n26376 97901\n52549 59928\n12247 76911\n62245 66844\n55308 93200\n15463 63640\n55374 89673\n57381 69607\n15789 86929\n14968 39810\n41961 59053\n67702 97085\n4436 61209\n11645 82578\n118 10733\n23787 26784\n21841 74755\n15624 63253\n10292 42534\n42637 50863\n21946 63776\n70336 94295\n3504 92339\n19351 28924\n47455 69291\n38834 85043\n28667 86066\n31049 43514\n44993 72959\n3555 21381\n11041 55321\n34834 93104\n51245 75534\n26363 87156\n17616 89617\n10997 44984\n57023 98599\n24 27495\n3721 89013\n31559 72997\n49115 68200\n15334 88810\n5494 92432\n139 70262\n40305 60316\n91877 94609\n2551 3604\n60872 96436\n58227 89052\n74784 85579\n57069 91081\n17969 69884\n44746 80138\n63636 98958\n53277 86066\n16302 20617\n1592 94184\n4677 22378\n10010 72862\n21395 47562\n15799 59153\n56628 72465\n40726 73183\n11790 34104\n18027 77550\n75932 80233\n64064 87941\n48158 73561\n20027 83967\n65231 85667\n70798 87162\n53213 84307\n53106 65045\n42783 86934\n41745 71196\n13254 34629\n57743 86719\n3382 86106\n3294 28003\n53847 90810\n67011 76308\n24320 59183\n47748 92983\n14446 92790\n35852 38868\n68645 80116\n28290 90717\n15707 59969\n88757 95434\n35189 52697\n93686 93867\n41827 72485\n28309 61263\n42765 64798\n15754 46996\n64031 93254\n62569 77619\n12734 13864\n59665 81106\n57484 73687\n46482 63737\n46373 55020\n20536 83196\n28652 77546\n23755 54820\n85255 95893\n37653 71512\n54929 62250\n19400 80402\n6085 12301\n27949 70593\n21475 42602\n10916 64935\n25192 82562\n29337 73461\n14351 89740\n13076 30687\n24507 86709\n68090 84884\n5566 54066\n19861 62376\n28334 62505\n46400 99036\n9456 44992\n7045 21182\n2728 23514\n754 49196\n14009 18550\n44799 80406\n45890 68630\n30527 54347\n10232 71158\n62855 69484\n51008 54031\n13140 64537\n47066 74595\n13674 76058\n50590 75856\n26105 55605\n32582 44476\n8166 77661\n31459 50224\n64272 90098\n37137 44353\n21729 53189\n36809 72259\n39471 62287\n31147 37499\n62601 62755\n35132 73609\n15671 33878\n21223 86519\n74331 86220\n824 59289\n45624 72246\n2126 77389\n32354 99083\n57559 65568\n74098 91474\n34725 89483\n33304 96039\n29361 99183\n7399 12882\n11407 60516\n66336 95866\n85023 87262\n48640 90862\n56466 62992\n71955 87552\n51726 92321\n71448 75553\n36533 69951\n59371 67696\n5786 53166\n11346 75732\n18090 81197\n7031 51151\n39893 89854\n36888 67078\n21335 90962\n67190 72847\n23647 63934\n13860 16730\n94743 95664\n22614 32578\n2977 48275\n12142 98378\n25875 74916\n28149 46393\n14011 38827\n15698 53262\n87969 97831\n13222 77719\n30596 94886\n42709 81526\n21378 42454\n26524 64913\n49038 75993\n15478 32739\n43283 61769\n51282 88693\n53034 66802\n61795 96013\n52264 68455\n83204 93244\n16965 84818\n72344 74635\n4416 44882\n63156 89101\n18079 46959\n12046 94629\n4165 21412\n78805 85977\n80540 99057\n21043 40063\n5654 20353\n72624 90698\n2816 56219\n22299 71372\n23415 49379\n49811 70997\n71535 74408\n15656 41697\n22636 81077\n12486 62833\n8715 58514\n41401 81987\n70403 85737\n84878 86190\n18266 55022\n81548 82150\n40459 65979\n9645 93847\n2755 33689\n13095 50347\n23087 44228\n21677 69169\n19766 95876\n1520 78902\n65333 85520\n61084 82470\n83851 99233\n23675 89903\n21458 66393\n34665 43683\n34544 37837\n34531 85439\n40255 54941\n25234 86419\n8498 46092\n34054 82704\n3047 11146\n60876 68976\n10516 17688\n6934 11663\n691 95477\n20897 95789\n59446 61090\n46817 53778\n14265 95288\n105 36186\n8100 32328\n4815 19941\n39914 46695\n63059 83729\n32354 84872\n11304 36624\n13266 81030\n57490 81524\n47272 60206\n17501 56375\n18887 28521\n8138 65512\n17524 23998\n26169 59460\n21082 29353\n22954 79872\n42920 62158\n45774 57365\n10299 56068\n41510 81817\n26391 78792\n36854 95963\n11954 90980\n14609 26605\n9557 36845\n34402 57359\n38402 95484\n42034 73567\n18243 59529\n20165 98078\n4344 89144\n39476 67140\n29114 90550\n59239 93220\n7150 95488\n29066 50710\n63764 99483\n2506 66195\n7145 94853\n71065 83328\n7596 17661\n82999 85096\n15802 27760\n13013 66545\n61322 65648\n2582 18873\n67788 86949\n5409 8181\n31548 74405\n6501 98945\n33419 99432\n76995 77894\n25931 50662\n80443 83884\n6264 30903\n58979 97937\n72765 93838\n21730 87398\n4863 48335\n18946 49309\n45328 89635\n40480 68332\n35537 98761\n8925 43970\n19907 93380\n24515 70889\n20175 84329\n10286 94651\n22823 94002\n4302 87028\n51596 67899\n47461 81694\n76773 82861\n16981 27200\n53462 59288\n65215 91051\n97292 98000\n12702 50075\n31639 75264\n17012 43813\n21416 47362\n27525 35047\n20536 46324\n4751 43398\n65988 71407\n66224 82519\n50824 97904\n71266 90217\n97435 98076\n32633 43524\n30553 71435\n20320 70422\n65165 68295\n43992 86250\n24905 32485\n7201 28618\n77094 80155\n4361 49804\n82471 95020\n57931 89051\n4371 27089\n25223 98574\n74136 75149\n65174 80416\n60740 75173\n62202 75694\n31806 33878\n7878 85151\n57419 83619\n30621 88328\n16700 62292\n37473 90298\n2505 9390\n41268 85989\n60849 97773\n15605 57346\n49542 77455\n23155 49186\n5875 53182\n30185 88955\n22026 79251\n2539 8751\n11917 41198\n19065 73890\n84460 86779\n22127 56969\n2116 6732\n13328 40062\n9141 89603\n13391 67526\n12116 98357\n72477 82834\n10792 93439\n49263 90042\n9744 33485\n55557 58939\n68295 94784\n8957 52919\n27114 87904\n22216 51527\n4697 64461\n35916 56620\n25534 77003\n8056 24432\n18511 73623\n76926 88742\n89963 91716\n5328 54740\n32604 99050\n3935 78020\n1865 6155\n58364 58972\n14899 35142\n51802 98472\n87617 91325\n14571 72774\n19207 55186\n47025 86675\n19620 37308\n4790 53951\n61050 71246\n7633 74942\n13172 57839\n44852 55985\n532 24779\n6782 70163\n37910 50902\n71607 84521\n3693 97637\n35617 55813\n48019 90699\n19851 73464\n11298 21273\n35455 48881\n23220 92501\n44868 95855\n69748 86986\n15860 61443\n50761 89838\n35982 87530\n50597 67248\n61829 76880\n61262 77077\n84403 96105\n38414 50628\n11912 42892\n65692 78641\n3445 53294\n21238 91677\n11237 54626\n37116 90712\n49223 98176\n13856 14549\n23467 28976\n1441 84599\n71555 77208\n23352 73499\n51955 75521\n15558 36986\n32949 35116\n25756 34012\n49408 92801\n12351 82844\n28088 69408\n5698 70797\n56057 95058\n2114 91972\n59643 92735\n81679 94609\n13362 97821\n20093 71499\n40261 98005\n53608 98732\n58223 74742\n44461 52487\n2779 66857\n34423 97202\n27994 81505\n901 61878\n45402 53924\n60515 80813\n48174 94119\n16684 17961\n54220 73563\n77991 84550\n35185 68590\n27203 84322\n15413 16473\n36194 97315\n35593 98498\n54561 94638\n2348 68483\n54767 57573\n30340 38517\n41477 42123\n4666 69915\n377 82107\n10090 15177\n46905 77997\n45917 90440\n9858 91431\n29563 52785\n77901 95054\n23667 29490\n71144 75415\n47211 73564\n12026 50747\n3443 41873\n2568 95717\n26221 93585\n13683 18306\n6894 73426\n62000 62174\n60740 93200\n11730 47528\n69657 73978\n57926 71962\n36139 71514\n56153 88281\n34470 99984\n13077 32275\n23115 54026\n3113 22666\n67 6233\n29499 39531\n2796 23535\n48694 89527\n523 37390\n12585 96535\n52673 68080\n42226 74846\n49024 82182\n32471 75944\n31392 58021\n13703 32497\n25826 39898\n21468 30683\n21079 35572\n44175 71386\n41901 76990\n64456 93011\n31950 64024\n8360 47799\n24460 56858\n76417 95539\n41807 91088\n40765 65831\n85987 87951\n35739 82200\n70376 74031\n47295 99566\n22442 32923\n70553 72284\n48231 72759\n7055 53559\n24371 83082\n997 89892\n59674 71038\n16585 86214\n39925 41524\n13273 51748\n27180 53675\n15234 42035\n55366 83144\n9019 93835\n33824 79409\n54675 89731\n14806 84785\n26311 35334\n14284 57382\n16493 34870\n15339 47330\n15336 50263\n35761 46273\n11325 51886\n95370 99838\n8261 32968\n29268 70948\n50328 70332\n4605 30613\n37008 89063\n19504 97342\n53143 70650\n21505 94698\n65568 88495\n47567 78287\n31816 33559\n3730 7687\n739 50163\n56877 78495\n25881 67025\n9511 10681\n43689 95104\n3302 96157\n15619 96395\n17552 66639\n49878 79331\n85222 93300\n597 2643\n30961 41790\n41421 69007\n12868 62063\n51891 89990\n46702 94994\n61737 67434\n61582 72439\n3612 66585\n67785 83209\n10192 66158\n90752 98743\n4772 70084\n22768 55910\n18412 34276\n33730 99594\n5356 75549\n17506 93703\n39991 44753\n31169 85264\n30859 82118\n18725 61396\n74999 76347\n4766 28517\n2624 44444\n14637 94842\n5956 70748\n76025 80047\n40414 68997\n17508 83566\n31440 43267\n5846 62322\n80037 95578\n41084 42742\n51846 83407\n7935 25562\n22112 39712\n2034 20078\n2708 13903\n35165 93282\n23579 76060\n5482 41078\n5491 90694\n8817 29519\n18690 46298\n16706 73676\n10470 21969\n67137 75634\n73043 93821\n6181 77106\n35984 61362\n47247 98425\n69085 74142\n3627 4872\n18265 90703\n36718 86619\n13401 60473\n19127 35520\n63693 80988\n14758 70369\n12442 26959\n6395 28111\n14872 90151\n67484 75614\n57069 96122\n15848 81980\n22885 25974\n56754 95721\n41562 77049\n17666 74859\n13575 79592\n67115 86292\n64609 88590\n64230 92304\n17794 48554\n53875 70099\n30462 84529\n29983 86489\n21060 32391\n925 46110\n69338 99104\n50438 62699\n3546 89897\n22745 34704\n8037 57333\n22296 67441\n9329 17654\n23582 34633\n72925 80009\n65320 68520\n3208 76843\n38586 94223\n19395 66140\n14662 77835\n36175 94168\n21866 98380\n37105 37254\n1194 47201\n79971 94005\n31382 60145\n83194 87855\n30454 56684\n11653 88283\n50754 95143\n51950 81946\n45210 88722\n17516 59671\n67083 82395\n26277 71869\n6913 81918\n58288 95218\n12495 52334\n15531 65222\n31491 78843\n9092 42124\n54293 84849\n40628 71259\n73217 94805\n35544 75448\n8360 44550\n37587 47203\n25524 85562\n15411 69102\n6685 10797\n15343 70192\n62808 74441\n23054 39772\n15272 95415\n883 17364\n9613 62530\n85574 92307\n8010 46056\n5543 19953\n56768 56829\n39970 70784\n28351 51833\n4380 71132\n35077 96379\n54718 70225\n33820 87088\n59660 93650\n49011 62528\n21637 74330\n64747 96285\n23049 28563\n60588 83681\n78046 97609\n54411 71793\n17111 24286\n5863 33425\n66269 75173\n40512 73925\n83122 93659\n47204 93306\n14824 52629\n40662 92639\n47558 52363\n69728 84074\n7392 61895\n69089 72797\n56180 86260\n21614 42014\n65678 82273\n45201 62202\n42307 86591\n7874 37824\n1888 89019\n77357 99428\n45245 48448\n2196 26105\n26397 77109\n3466 30812\n74831 79076\n9804 41007\n17779 51348\n60168 73359\n25059 88888\n50650 94900\n87723 94605\n82717 99412\n43799 89815\n50543 87667\n40017 84890\n17381 59014\n59802 88570\n24034 40932\n22992 73061\n50226 65358\n10186 17874\n27404 88026\n19783 70311\n62003 78101\n8455 24335\n84754 97720\n39494 79850\n45939 50696\n85391 96414\n13076 75659\n6947 76266\n38660 75450\n12449 16641\n21922 44604\n74078 80883\n7226 81908\n43639 74828\n15177 58479\n1731 61589\n46860 93493\n48392 57169\n38241 54203\n51346 62395\n4790 86797\n76200 91593\n24427 37518\n12000 98466\n36783 66194\n43555 83633\n24433 47334\n10457 96970\n17604 48770\n63318 67799\n51843 52915\n84513 94136\n69075 73343\n34206 35905\n12465 41817\n20879 42790\n14730 22818\n40689 76049\n6572 68554\n28182 65136\n12275 62919\n10023 38262\n12422 27232\n3166 10972\n4469 34447\n2067 45924\n20472 63053\n61242 96884\n7 90366\n4889 9931\n36809 89197\n43942 66080\n18332 50376\n19609 34971\n25359 82291\n29883 59908\n32133 35345\n76723 99638\n28003 31068\n30755 37658\n28333 64094\n38015 39839\n75346 78138\n11736 96477\n21137 38980\n22379 89251\n467 5427\n76257 90016\n50558 53308\n58179 75659\n68939 96488\n20915 62142\n21754 28520\n77200 77743\n22259 92069\n15367 48493\n35203 66712\n18277 53508\n13856 73665\n10415 82627\n47191 82917\n19238 88847\n4609 69263\n40145 46892\n2920 98618\n17754 77634\n12805 61428\n42555 48169\n16031 93531\n30235 61288\n28794 45763\n21531 33885\n30772 44778\n12611 96858\n57627 93969\n60333 66906\n24773 42649\n3367 63591\n46583 73830\n23039 23057\n15887 48782\n20565 43329\n23628 59393\n96570 97202\n14548 49130\n50701 87385\n58821 88941\n20618 47437\n8809 79729\n24916 96899\n38513 47969\n58899 69662\n37495 77518\n20939 28138\n60666 75812\n3154 99845\n40015 73954\n1286 18123\n11509 98752\n13137 99445\n24567 68287\n53825 81926\n64830 68899\n6103 11035\n33586 81280\n31303 60822\n52154 76352\n19429 58931\n6741 48513\n43112 88227\n69274 84803\n10584 13539\n93300 94131\n16641 39622\n44833 47926\n66667 86027\n40446 49810\n54749 69659\n43348 74732\n36890 78310\n14413 56448\n53633 97577\n36640 83905\n15060 82150\n14433 36013\n37688 73070\n26835 98722\n62292 92487\n12010 70050\n27660 51560\n99345 99767\n53649 54367\n6835 42851\n18598 85571\n124 77040\n12068 54955\n51614 80688\n51157 81791\n87583 91155\n17562 42310\n21155 76782\n17156 51507\n81142 86545\n15624 61865\n43910 97480\n6368 99753\n54725 91569\n5085 61945\n58596 95399\n59841 96972\n12069 70628\n4833 61837\n30498 63071\n83236 93096\n24042 41767\n60945 93638\n66987 75138\n34069 86357\n65241 82198\n63240 97427\n70427 77573\n5789 82993\n44720 81414\n40872 67230\n5567 54830\n2033 42736\n30573 92433\n24391 44822\n2432 99749\n25254 48268\n10304 71712\n20412 67277\n47537 95378\n67912 92559\n26289 61938\n24473 97175\n13537 44365\n33872 75102\n28344 87223\n31054 81318\n14876 96368\n49523 77471\n18479 78930\n9854 80729\n42358 54665\n71150 95844\n16482 17677\n84256 96533\n30802 48831\n34440 98017\n39804 50831\n46930 81193\n27869 58151\n36597 42708\n44273 60129\n42568 95646\n55921 89373\n13139 25810\n30538 50493\n4221 27201\n58778 91012\n30217 96865\n49494 76111\n10348 12921\n51976 80519\n2247 98668\n20232 65337\n2687 82558\n44581 86893\n8682 44593\n13330 77501\n35315 43139\n51962 84801\n3686 85079\n39621 68202\n64875 83460\n56271 97766\n38179 67292\n31529 33779\n18629 91700\n17566 94574\n36356 50260\n39319 50475\n34059 48724\n8266 88777\n50742 67502\n80354 91318\n8488 75908\n76460 79977\n65188 82813\n56912 57250\n15684 22334\n52983 79071\n12177 32941\n20339 58580\n48740 88027\n89618 90533\n17316 78572\n52103 73593\n8390 11244\n32085 59020\n77956 90218\n75276 79557\n16643 93504\n75037 96406\n17590 73671\n23674 97029\n44630 82288\n53071 97690\n24403 28039\n3850 85772\n43285 85894\n79290 80612\n17331 46418\n47528 54071\n69000 89233\n30617 53860\n41827 72998\n5881 10583\n63057 97753\n40316 92540\n17183 64839\n31452 95021\n67991 78796\n59783 76533\n41476 71623\n69993 94671\n3907 61829\n35536 99000\n43535 67485\n9980 84231\n1728 66221\n13246 51224\n27763 70486\n8275 28734\n20601 54910\n95070 96277\n55895 96991\n26234 89272\n43246 89537\n44571 77337\n22618 64635\n18531 30367\n10492 73483\n13485 95318\n23196 75666\n9419 98868\n21025 93838\n74013 90122\n9279 9748\n26209 73687\n19582 50268\n25277 89374\n57648 64192\n47557 78493\n28983 91478\n67474 79097\n68088 71130\n89367 91333\n6388 22571\n12399 66163\n19428 44053\n77681 89056\n16928 30907\n57917 83698\n40352 51475\n30125 69027\n34485 83648\n31394 78974\n77664 97900\n55818 59226\n80757 93041\n13997 14942\n21601 88156\n43783 87263\n56419 69120\n50075 86978\n15481 68822\n27726 42542\n78897 87867\n4134 78048\n26526 28871\n26379 55390\n55603 76423\n57390 60896\n13217 47485\n1879 31602\n10581 81801\n23429 81044\n50382 87337\n24075 37836\n11950 20738\n56843 72823\n19138 87034\n56912 84352\n7948 48074\n45640 91033\n20316 88572\n72766 89499\n3287 91341\n1734 21555\n7851 76532\n21527 40520\n11456 27362\n18893 39791\n44749 54079\n62189 99602\n27713 93406\n4284 56110\n5381 17028\n43502 59643\n48255 99006\n226 74722\n2362 10357\n21907 70005\n13487 49122\n20504 89930\n9754 99855\n15822 42779\n15019 68587\n55137 61894\n1185 19450\n22503 53661\n17939 35184\n49068 92688\n18835 20480\n41117 58391\n54651 56899\n57459 86014\n3272 82891\n6051 50725\n67019 78552\n36390 53868\n563 88263\n62427 80364\n20631 22464\n57086 90179\n40797 69087\n12981 27301\n10359 47897\n68896 74260\n35465 77595\n62808 86169\n65565 86645\n41605 63312\n11445 39567\n21486 63555\n49463 77868\n4900 40636\n73288 98062\n9812 34802\n68124 74276\n6086 33639\n84091 90070\n64579 86860\n10381 35755\n566 96308\n39687 91316\n3277 64405\n56067 64902\n15623 32004\n13665 64440\n39060 51270\n21378 64147\n5844 27005\n62428 87060\n22398 47482\n7904 78866\n637 24835\n7475 59879\n20556 61306\n24842 62611\n14744 69586\n33619 44338\n7591 61437\n65439 94669\n6776 88291\n8639 80557\n30440 94445\n46527 93834\n41259 49138\n31944 74515\n10142 89039\n7 43605\n17754 42832\n34810 87947\n14655 27526\n24174 57124\n28203 78956\n67301 79091\n79933 93102\n12052 27761\n11822 49272\n23567 32835\n64314 84286\n50057 65183\n49759 84678\n38923 75085\n44436 95642\n38385 51690\n86655 87765\n28707 43045\n20421 46810\n23285 49203\n26764 69629\n16856 18446\n39046 57569\n14683 64220\n7717 96578\n49607 90045\n30672 89530\n46612 76247\n41314 67214\n10967 42417\n30358 62348\n55775 59150\n3391 36885\n63534 65268\n17130 91749\n43037 95627\n3246 47256\n69514 88878\n26804 61504\n1169 89412\n67678 69374\n39834 81413\n10192 61879\n51502 95514\n28249 88043\n52837 86023\n69288 73039\n2769 29610\n48617 88204\n68692 80163\n27352 61387\n15395 54938\n10391 44962\n87815 89828\n41865 70624\n48140 99021\n14957 99785\n68286 89235\n28948 30960\n982 17199\n71793 75148\n27876 46809\n65747 78335\n35413 52316\n57560 70782\n6142 31954\n11535 15362\n7222 80210\n39125 69242\n6411 96187\n45973 60802\n9654 49907\n33218 97140\n57656 61544\n11177 54955\n8387 57520\n14040 65686\n5767 82858\n4533 51486\n20469 99318\n45310 76224\n16399 62822\n40484 45083\n10786 89083\n59951 82652\n23288 32224\n19271 98731\n4572 45665\n13972 35238\n20743 27426\n18228 67216\n46396 78810\n49541 55073\n61787 88515\n32160 87163\n4217 86167\n14249 16369\n38413 83223\n19647 81854\n37823 97578\n31591 33491\n47256 47914\n26072 62796\n42613 45055\n7810 34587\n23907 48624\n32233 71256\n15276 79580\n28253 86157\n13924 26795\n7893 16574\n14404 36799\n56659 81345\n62949 68447\n83127 83308\n39008 54476\n37410 75308\n66424 95147\n37183 71594\n285 16723\n35642 72032\n15876 57532\n4261 54825\n5568 73637\n79324 98897\n40055 69898\n96687 97954\n30850 57742\n27191 31805\n16478 73152\n76454 92858\n30049 61945\n11864 66491\n17865 55539\n33106 94922\n52895 75224\n83591 88025\n26804 27791\n16205 76562\n13907 72440\n23612 94091\n19135 41641\n78557 80214\n3658 79657\n40624 69504\n35646 47391\n72239 97794\n28409 83250\n11528 97100\n46908 97788\n5932 70133\n6015 42933\n48229 59871\n51656 55207\n19811 61232\n84659 91547\n59484 64100\n35206 95588\n17410 29431\n59506 59620\n31763 61867\n47603 50002\n97 70289\n63598 90337\n17015 23885\n16140 67557\n57752 88724\n32553 99601\n55696 75505\n75308 91893\n1703 7378\n40602 68911\n64645 90799\n3804 99612\n82421 97879\n46403 47326\n88586 89048\n51644 91704\n20251 50365\n50313 55791\n53193 67937\n46199 70054\n32782 36280\n9468 65738\n6132 17106\n58650 62670\n1902 95596\n2463 68888\n546 63636\n62457 86888\n14338 50469\n16697 66701\n14003 91105\n6849 23372\n21196 67889\n24867 96482\n23199 97785\n13902 17366\n4198 85615\n42390 98235\n67133 99305\n33901 42674\n28378 84172\n41447 73924\n76344 93097\n66458 68059\n42510 75932\n41851 70213\n32028 56257\n48777 94728\n22911 38982\n23469 83422\n22097 41289\n45463 78512\n15231 95964\n21355 84376\n8769 32252\n30793 62214\n62419 84544\n7746 22537\n9232 32819\n24279 59913\n24022 64005\n12924 54617\n25045 34035\n40834 47727\n2564 61069\n76386 93986\n15601 47825\n1194 59116\n20873 69122\n52521 59290\n5735 41086\n36902 86738\n6821 43825\n55712 70683\n95822 98294\n19180 44917\n32059 83026\n30589 47201\n3111 81995\n56054 98399\n39482 62770\n15490 94472\n29585 50972\n11882 35879\n25704 28401\n76497 97123\n40671 72616\n15549 73101\n48849 53336\n16186 22493\n54546 86550\n44416 46586\n9406 91705\n6007 24871\n6601 20915\n25953 77732\n7288 7526\n28477 71891\n62375 68748\n1319 21620\n57386 63725\n34760 63859\n361 47915\n11578 99068\n31338 56930\n65209 85210\n78048 80161\n62998 86269\n27409 71464\n2735 28660\n73578 89581\n23370 57703\n38971 96527\n56482 63100\n60105 69673\n18379 53321\n49460 78163\n3154 99569\n10069 61879\n21065 60961\n17485 89469\n42708 84221\n21209 98038\n64625 83797\n15750 62883\n71915 83064\n51181 52552\n7983 65376\n15570 30719\n13018 39655\n13898 62616\n5482 83605\n1073 22003\n38480 89995\n60534 77181\n38314 84754\n49675 62486\n18193 83739\n9316 57550\n6344 77789\n6069 68436\n3966 96567\n19220 26122\n78909 87692\n54113 85393\n19778 38998\n10436 39472\n62393 65042\n32757 41773\n47703 83887\n22482 57975\n13789 37867\n30012 71962\n85921 91659\n34140 55805\n18173 66660\n79691 99615\n59945 69246\n29608 63261\n22353 88443\n9501 43185\n3136 78173\n9611 38776\n13406 79631\n48078 66315\n1674 36843\n40960 71479\n20877 85653\n58049 74197\n55118 93429\n33327 87977\n67348 77395\n59059 77923\n58174 73695\n31966 83191\n20612 92917\n13457 44099\n68725 93722\n78568 86057\n40981 47455\n47286 54589\n8723 16403\n13612 85871\n25984 93805\n48741 89867\n65604 66577\n90300 90862\n42551 98934\n67276 78200\n26787 89548\n15985 60349\n69 88927\n29495 31389\n4719 73580\n8838 24602\n67117 84831\n25755 38883\n9631 44535\n72076 86247\n47988 80291\n10417 19764\n44558 97842\n43743 93373\n12692 26501\n5521 88244\n2521 80913\n41407 88432\n3081 54038\n40068 77479\n5736 32840\n25800 98692\n6675 67870\n28746 98888\n1944 79277\n28408 57437\n11440 42303\n2939 48295\n1614 70675\n6747 11481\n58597 80659\n32148 36126\n22177 96927\n41874 63230\n4703 34557\n64632 86039\n61950 92534\n66235 83566\n16695 99568\n18051 27572\n57985 90398\n25851 56251\n58142 88402\n48487 83087\n31669 60067\n52421 73970\n30504 42016\n39965 83675\n35261 72186\n31957 77909\n8296 94893\n77864 90729\n71633 88150\n33917 56608\n25749 84661\n28702 29022\n32797 55897\n42442 52140\n77530 91564\n39178 95802\n21211 62017\n74017 79177\n49790 86737\n25658 57178\n83623 95477\n39432 42137\n1954 44587\n15912 56149\n15854 93641\n48632 72338\n25724 44093\n69488 98817\n14637 87370\n571 94759\n42291 84025\n38270 51920\n9495 97156\n37787 92699\n7520 20543\n57224 59894\n20701 49245\n9264 41462\n64403 83776\n38537 44441\n49310 55108\n46427 72274\n8602 47522\n4749 65169\n17416 90304\n34974 47902\n35700 88508\n62922 74220\n37279 50483\n6794 29193\n45708 92636\n26748 84064\n26848 43846\n19663 68237\n42018 68591\n51884 61407\n52672 56179\n24200 84975\n52522 91242\n48754 62663\n44616 79553\n42726 75023\n32455 94792\n6940 41188\n44521 72885\n85406 87851\n225 3352\n2147 26978\n41239 65135\n56033 62693\n28780 55007\n21916 46023\n45487 70405\n66719 74836\n17519 26349\n43755 97077\n58399 98898\n31534 90570\n56471 71976\n78512 79993\n46752 50511\n52882 84468\n74445 80553\n9609 93811\n36424 90120\n22077 31987\n20516 94865\n8108 51276\n42974 53856\n8665 30971\n12737 46436\n11991 36412\n52812 60053\n66289 96359\n53944 89546\n20426 81915\n14324 40770\n11549 16030\n54001 58799\n1597 19708\n25571 50549\n73921 74683\n593 37758\n67430 88396\n49443 71840\n28446 91207\n22499 68969\n81099 92372\n38841 41907\n15095 36262\n14269 60832\n9455 76525\n17287 64956\n58622 82364\n19168 65686\n44803 65977\n5871 92616\n12191 22128\n38498 59581\n5251 31508\n25657 92328\n8822 28493\n9963 77551\n12191 44360\n18349 23841\n27485 32539\n71706 87313\n42621 85678\n16980 77269\n49552 66496\n130 98071\n3755 13313\n35689 40414\n77209 82750\n72071 88802\n52895 58003\n99005 99246\n25695 60483\n56797 90818\n78794 82411\n13960 18626\n7323 71285\n47465 92156\n14407 54344\n32053 96447\n27969 38394\n6331 84776\n48060 99828\n16641 65894\n41793 73641\n38749 92661\n30854 92773\n36704 72384\n30782 53465\n9186 96801\n14988 16116\n23385 49578\n15064 42378\n51158 95358\n48396 83816\n28428 48211\n90262 94928\n45251 75848\n41741 63500\n1397 49224\n24086 83480\n15903 83309\n47486 81153\n38249 68276\n59435 66579\n51001 55905\n76780 96140\n69830 91353\n58379 62322\n18082 66503\n45727 59512\n3169 75671\n50737 54206\n62860 67771\n22047 36742\n38221 91675\n37687 79586\n61661 98684\n1637 66722\n13707 61110\n30470 61103\n23079 58970\n9467 42674\n60968 89135\n41656 73141\n31508 78207\n36007 57538\n44245 67731\n82734 95065\n29894 35681\n10247 95995\n83453 97510\n3760 56676\n9495 82876\n22500 92503\n26455 29296\n25383 62135\n37761 83230\n67342 79273\n7776 32694\n14879 84998\n25178 86193\n35456 70990\n26307 35019\n11833 54713\n8962 12780\n43436 97575\n41644 81444\n44689 56833\n49644 99912\n60504 80395\n4562 50243\n42228 60536\n54740 88416\n54444 97780\n67186 75247\n25649 34384\n12324 96547\n52262 91283\n5561 59126\n26649 70303\n19282 25189\n34739 86002\n1982 88436\n20331 94373\n76635 79509\n15584 15875\n69949 81258\n42139 62355\n2805 13917\n78182 80177\n70969 89825\n58646 78138\n13688 78490\n20840 29769\n18725 54807\n34127 41464\n13572 17471\n5296 22070\n165 47135\n3013 57321\n6060 49341\n38709 87575\n66166 69035\n6692 90592\n26227 86242\n71621 94170\n4947 77377\n13052 60416\n7638 89875\n63067 69129\n11196 80355\n22739 60856\n73827 76836\n39142 82532\n42259 54202\n66179 98045\n47476 67884\n48779 76019\n41655 89462\n36807 83659\n25553 31235\n10417 63564\n28054 46205\n24487 29298\n26017 97322\n51173 57496\n66367 89728\n23977 91266\n81738 85171\n20889 78999\n6515 51438\n21558 74623\n72218 95012\n45973 71491\n40700 59808\n17184 54358\n5288 11091\n54644 56716\n33874 36284\n36441 58007\n3289 50795\n18120 31650\n3414 84990\n27888 73555\n29651 56769\n43032 46610\n24167 29566\n39025 73289\n28852 42589\n29893 66548\n85837 98628\n5435 51049\n12672 18505\n22919 32731\n37120 89166\n38469 84297\n6408 53141\n15779 91134\n41816 75298\n65422 78310\n54017 76516\n62113 62451\n39922 65649\n19557 38197\n43086 62437\n23179 75189\n57739 79272\n66074 90641\n21705 46619\n16714 43991\n71072 93512\n27691 42436\n81203 86055\n15176 40500\n17383 74795\n51560 73425\n14392 36892\n14861 52914\n13381 88850\n12881 86887\n7320 97386\n14843 23837\n63632 80106\n13841 51439\n1108 17440\n58143 86878\n53185 99346\n7391 95929\n26208 39145\n27397 90929\n24210 90783\n22825 61555\n72108 94464\n60850 72508\n57117 67655\n11261 52717\n24895 45874\n84693 99078\n50374 82296\n4801 86141\n39972 61729\n20179 99075\n69501 71346\n31934 67874\n6989 77476\n14588 19584\n6574 41951\n50930 59651\n14953 75725\n50147 56638\n29719 99933\n66555 97082\n11508 38033\n34293 80576\n8788 74059\n87641 89134\n1463 58874\n44665 98076\n17177 42051\n25727 98791\n10318 87503\n41025 78786\n1809 63907\n14213 97931\n8443 78431\n25180 72470\n22394 37222\n32607 33961\n26410 75474\n6530 26749\n58164 63914\n96466 98659\n62264 77829\n892 91415\n18796 96590\n57971 76263\n774 68417\n61625 64539\n15908 68955\n66624 99239\n50311 63467\n55262 83979\n19758 96720\n91034 91955\n38563 84599\n37536 39966\n15225 84868\n15801 84040\n38380 40971\n78473 91790\n49356 49484\n8932 40565\n44223 62944\n6739 93365\n44030 51547\n16855 21594\n34567 41726\n3030 51971\n65253 76005\n75882 98715\n20309 60037\n39966 98361\n61457 96092\n35838 70203\n45336 59740\n10222 13553\n8556 77535\n11222 74031\n5874 87631\n7273 84382\n44722 96619\n22037 71649\n29877 67009\n43476 69535\n21852 68186\n31334 47947\n9749 16852\n51091 80363\n7756 80561\n15331 82805\n7909 86396\n23835 53685\n20076 50842\n27775 72637\n7435 88434\n63486 79380\n44697 60884\n29541 98000\n52902 98294\n20543 64263\n86508 87577\n73704 77114\n13339 22152\n19502 39266\n6573 67247\n49779 84766\n75079 93446\n65201 68140\n62357 69296\n19914 66847\n12631 54764\n43636 52846\n24773 84795\n14923 15838\n1458 45339\n13033 57503\n28546 30125\n33773 84574\n45748 73132\n9509 92914\n47932 73589\n92939 96614\n42881 99554\n86337 96456\n8687 11545\n11423 54967\n76204 79732\n66713 93718\n78308 88889\n8535 35957\n52893 80350\n63483 99819\n60456 72054\n22880 33673\n10291 38624\n8587 40909\n701 10666\n1534 19977\n41898 48282\n27080 66904\n5795 27870\n33406 38989\n2959 49827\n20301 44027\n37948 69496\n50420 62483\n30697 92717\n61518 87999\n66486 88274\n3991 21474\n449 62800\n62032 86886\n79231 92221\n966 15441\n14723 61013\n9273 95907\n49482 84154\n75909 78017\n48508 71009\n16056 54470\n24400 47675\n19511 72037\n72934 73018\n12954 73553\n42163 48975\n57870 83393\n46145 70163\n18170 47040\n32909 66062\n17346 59912\n18015 71380\n36002 70935\n3984 37053\n51591 63461\n12309 21634\n22607 25932\n11349 63304\n62877 67851\n58384 78310\n28305 97938\n4124 48217\n41165 89823\n48751 58896\n19613 90960\n47330 81640\n56506 95880\n26815 37946\n7113 10138\n4425 53001\n25394 80775\n15231 61639\n54551 96333\n80467 84786\n13956 19887\n16230 78716\n33257 94161\n27525 50448\n72412 91016\n80629 99347\n5113 98945\n4811 52313\n27543 74670\n24725 58838\n6806 66732\n22793 23298\n1026 39571\n61362 77551\n41210 74420\n33095 36882\n6481 93949\n84107 97315\n58611 83613\n26779 65238\n13803 14191\n36620 59024\n15466 48284\n69237 78519\n69302 79719\n2919 98859\n85247 88875\n59160 81846\n5087 52832\n16171 23113\n13069 29681\n38011 47482\n41159 43470\n57751 99809\n48950 54889\n17802 53882\n14866 41093\n31963 35692\n6018 45181\n27777 29931\n19374 76653\n4148 69030\n94083 99138\n63643 84078\n10123 90073\n30658 75300\n40330 72758\n13683 53261\n49429 51985\n13797 28804\n47795 87152\n34089 93559\n23632 75484\n67230 75100\n82935 94294\n6597 41075\n72111 92559\n60956 71151\n6767 8821\n9400 97160\n18403 93291\n2667 21520\n39560 58829\n14190 73474\n22200 28825\n6729 46897\n6088 38465\n36337 61233\n42308 46091\n70288 89294\n2612 13225\n30518 50315\n58979 91597\n43978 92874\n41199 70114\n29039 34746\n35503 95864\n58647 90338\n21463 79497\n19909 68482\n13733 41526\n28705 93805\n82643 85733\n46990 72032\n11486 99054\n23854 89367\n614 50028\n4780 20707\n1365 74065\n2010 84761\n41900 87001\n10188 64851\n33984 61396\n42470 47510\n40638 67672\n4141 30355\n63397 81493\n62520 65776\n38079 80279\n899 84805\n7403 42910\n52682 64028\n49710 79950\n29348 64452\n22379 90505\n38937 78906\n82353 91237\n68732 72545\n83074 83457\n29499 56717\n48973 88936\n4622 11156\n9028 79734\n19938 55418\n73770 74133\n34138 75112\n11424 27952\n66927 88114\n43723 63336\n55464 66749\n11528 32267\n78442 95801\n16127 28412\n32481 55736\n52819 84739\n70648 91939\n70927 98774\n36523 40061\n33971 93401\n43389 61876\n14182 52213\n22567 61034\n58811 65676\n47594 82258\n11293 81614\n19586 85400\n19197 78977\n26946 88910\n6703 11106\n23506 67706\n47862 89746\n41893 56035\n76490 79553\n15237 48107\n2530 94976\n68938 79678\n8373 83347\n14739 28422\n2469 50787\n35280 39715\n66277 81025\n15272 15441\n38184 64755\n3747 48051\n64349 78891\n19049 60757\n21975 91018\n67005 79323\n1541 14120\n79785 95361\n44749 77675\n75635 96282\n11135 66281\n48108 91865\n48545 68509\n36127 73435\n64699 82884\n1109 9079\n35258 76490\n29634 83310\n15675 50687\n54424 72057\n13734 66755\n9971 54434\n20888 84866\n1845 75816\n47296 59747\n14359 39782\n1377 45543\n90733 97419\n60856 83115\n86436 96560\n15680 37583\n28288 66547\n17367 54828\n21235 81403\n35888 42756\n14950 44053\n29293 41680\n11939 77498\n27176 31289\n41958 49024\n41921 96851\n5574 18355\n42339 78512\n2501 68482\n21898 44715\n24756 94437\n14302 96244\n87081 97041\n77859 84462\n38407 72594\n20695 43849\n14444 19876\n15989 21882\n49035 53048\n20363 86824\n55111 63378\n17462 96034\n1648 22841\n14752 84126\n32867 48586\n71533 92357\n41960 48422\n14949 28362\n24424 37260\n44105 90713\n38120 53734\n19777 42359\n70108 89231\n81249 86883\n40117 48519\n59085 62329\n56746 78595\n37069 78364\n10522 92705\n44958 80277\n36561 61430\n42727 65456\n13295 19728\n12861 72498\n62881 85172\n28774 52179\n19657 57834\n2485 61695\n74200 86774\n20555 97494\n5481 47072\n30028 76110\n74218 74794\n35549 48030\n3565 56900\n17546 23323\n55451 69692\n18326 68972\n71361 83284\n1116 67367\n16100 43432\n16645 81160\n3352 65146\n14969 18616\n18675 83258\n5630 11676\n26922 97112\n2009 81648\n57898 83454\n8946 67890\n12448 35874\n53864 96633\n18175 33411\n42349 88542\n13060 54073\n33384 39001\n43590 49810\n329 50381\n12836 97154\n3652 13175\n2331 92633\n37496 57301\n46991 72484\n3527 29814\n39062 43892\n9908 45552\n13048 75945\n6967 38896\n63008 93214\n18784 94443\n34334 93330\n10201 28713\n940 62012\n20967 38177\n10949 20345\n8413 48205\n87485 96298\n24231 48951\n6569 13417\n82511 96560\n28153 31944\n66488 80590\n3002 61201\n9044 97339\n24362 65091\n13681 31468\n22447 52208\n41038 90182\n25335 83610\n66784 82211\n23868 57924\n27198 77615\n55493 94371\n7371 80213\n10715 38400\n18884 36176\n24152 99013\n41597 51312\n69498 88694\n52090 96404\n40356 47918\n58491 59228\n39446 46665\n66420 71367\n3535 8638\n37289 54669\n74074 86169\n44946 90092\n21479 83545\n3228 9805\n44817 71201\n29760 62986\n24373 91113\n4063 62600\n14269 72557\n49853 66204\n4811 62988\n16323 98754\n17189 47291\n10650 43532\n65419 69080\n24028 28485\n28226 54109\n61928 92057\n63625 91713\n27373 50920\n18407 52223\n18171 36386\n6921 94957\n95525 96316\n44581 58150\n58891 96286\n28355 34086\n39004 64601\n45274 80412\n20953 44880\n10997 94857\n7631 48432\n3237 92951\n60420 87497\n47791 91689\n54908 92838\n6390 86482\n44838 55102\n20387 26100\n9744 96313\n2261 59892\n61440 96374\n27429 35515\n52700 76695\n13132 64655\n27197 71328\n59179 67627\n1057 14287\n8827 58357\n4779 19473\n25253 57867\n26789 44257\n17770 99856\n68106 76498\n7553 66898\n52004 52943\n40942 82095\n12755 85497\n91702 96139\n34151 46413\n49328 69690\n57403 69545\n16916 92321\n78821 93140\n11232 27053\n67689 86978\n47299 84009\n44559 85310\n62551 73919\n12178 89429\n48549 56431\n4974 82403\n23023 65068\n42502 70855\n20239 29180\n47667 80704\n60880 67934\n14176 62081\n57972 74932\n45746 56691\n52000 91530\n31632 43503\n65881 78269\n30408 73120\n35221 54724\n217 37298\n49242 84327\n8321 57640\n65987 74646\n16128 56038\n53008 99552\n72011 98324\n47073 67293\n5156 37896\n17635 64419\n58523 69294\n9910 49909\n27661 52075\n27436 46231\n43758 44423\n4515 56370\n46539 54682\n58662 94322\n19721 48324\n11374 32797\n24066 88547\n31100 57485\n17011 77025\n84620 85398\n26990 79026\n41241 81562\n16952 48935\n68790 90009\n43052 97557\n52834 89292\n19477 34082\n46358 91468\n4 22980\n23610 25698\n32746 36319\n2393 45468\n14650 58033\n16251 37759\n10624 48572\n11547 66475\n13 84823\n13997 79312\n29150 37734\n59002 86228\n72528 93145\n48341 83640\n48056 51570\n6107 63248\n32934 37504\n72452 76820\n28448 81865\n50013 65142\n23988 77448\n4749 35572\n67995 78535\n13710 58950\n23388 57480\n2632 61711\n17033 50720\n43620 97892\n26106 35958\n20642 57625\n83462 88704\n38969 75584\n4798 66083\n58237 83141\n18948 87907\n34320 92053\n16202 92921\n60293 65146\n12866 28763\n80226 92161\n84450 91268\n5042 68797\n56636 99424\n25203 76995\n92083 99247\n20293 88438\n17330 48063\n67917 69650\n49681 50291\n21519 52431\n25929 27928\n29651 99574\n17840 33099\n10901 57012\n5671 55987\n54653 61027\n1589 30418\n35110 56717\n9344 69717\n49123 85857\n29814 90628\n23517 69056\n33573 49499\n47103 58176\n57752 89942\n38719 80072\n34632 67261\n46838 57005\n84001 84099\n49288 50552\n61060 95723\n36927 97812\n17229 65565\n8408 95866\n5588 19714\n45258 76626\n33088 68819\n58008 58340\n31029 52092\n3656 62125\n1924 33284\n5719 75977\n10167 97465\n12928 50751\n68612 73331\n30475 54734\n4481 55097\n39103 76276\n12846 14583\n8509 50547\n42452 44618\n1822 39655\n27530 78331\n78032 89679\n451 23831\n42753 48446\n6303 47235\n4512 55054\n19315 72422\n23072 66506\n21977 62591\n16569 78606\n36429 97659\n35810 65443\n56181 66024\n24076 62339\n31152 39365\n49350 73162\n29273 35743\n29576 99465\n45628 87297\n27913 90004\n16096 97042\n66608 94556\n28618 45372\n37567 58961\n12667 44984\n30512 39075\n55869 73178\n66860 74782\n43457 52962\n8609 61997\n6850 29813\n15550 21413\n11110 22103\n13056 35981\n19076 76610\n95552 96901\n15967 81172\n8840 99977\n53149 94974\n6609 43950\n79216 83894\n12479 99761\n4768 28638\n18475 43434\n42094 56154\n9927 50564\n57642 72537\n12162 60466\n32583 95635\n30172 79337\n68281 92844\n26881 34954\n51094 82705\n51946 61248\n4851 70639\n3479 90521\n22901 45499\n66613 85922\n9557 51954\n37214 42646\n5072 96732\n26677 84499\n14257 65241\n6807 97443\n44422 79189\n60307 97503\n1041 3380\n27037 72588\n7203 90271\n14464 92158\n12695 85673\n63513 78375\n3560 73805\n70720 76012\n84463 91287\n18125 42159\n28307 64855\n6970 89087\n76211 84179\n15485 63395\n11720 60908\n71647 88415\n5196 76321\n15326 70445\n12115 51533\n64486 70351\n34578 63366\n4194 54851\n44286 78457\n56057 73019\n5293 64633\n64199 77184\n48555 82172\n16215 92494\n6030 41302\n13818 93476\n10003 36437\n14203 81268\n13321 83926\n54497 77174\n10084 68716\n15420 97600\n61208 79186\n8366 60257\n17976 62714\n10607 64125\n11853 12545\n29829 74352\n6596 11704\n6881 30357\n67982 83485\n45125 50659\n32503 83933\n32928 75872\n2646 77344\n34517 72492\n36531 97422\n55013 88462\n67627 67739\n79258 86356\n56814 82102\n56728 60761\n26172 60114\n3990 33942\n866 28328\n49866 60640\n53627 55526\n77256 89925\n51997 78100\n6548 79480\n29691 52279\n84057 99144\n31576 83104\n12694 23613\n61242 67639\n50933 97764\n16847 63365\n52420 52738\n45537 65135\n24129 61396\n1480 35696\n24835 57302\n4696 29997\n30063 96441\n30094 80994\n80993 87556\n16457 43702\n32669 74946\n61349 71674\n8342 94360\n57612 91343\n7222 41759\n43066 80790\n45063 49686\n1994 65460\n49305 88183\n13886 67858\n19582 39989\n42282 91829\n21075 95816\n65032 70721\n17322 50319\n80660 90931\n30450 98375\n28344 93665\n49194 81504\n35920 47236\n13170 76147\n4125 43979\n71664 91086\n45513 76206\n3299 3457\n24084 77516\n26421 76449\n30674 54699\n41710 83862\n81286 82322\n64280 76570\n24485 70454\n52109 70045\n19802 40681\n8926 10843\n80208 93609\n63275 86494\n43657 87691\n51820 69162\n29010 29452\n69626 93152\n55591 93325\n27532 62273\n46886 93709\n60536 67484\n45625 98804\n54996 90232\n33720 71392\n13951 79280\n38665 86973\n69179 90886\n1476 80925\n11534 66974\n43158 92307\n15224 90907\n10119 78938\n9843 35587\n88167 97758\n48267 77725\n46309 66670\n61601 89961\n13962 29490\n17004 66622\n44844 56135\n27160 48794\n48552 50313\n53949 62334\n60419 89843\n45358 83675\n32450 51979\n824 60841\n18867 36343\n13437 31399\n31604 78814\n10687 79859\n31536 83771\n28327 47766\n49576 82257\n7173 27306\n9406 69026\n78613 79019\n21853 63845\n70523 95268\n63544 96695\n9692 90772\n9817 93110\n27111 63989\n38835 57028\n17155 77174\n23349 88597\n68344 87047\n21665 33550\n45635 75933\n61617 72573\n75639 85699\n19491 25257\n91268 93535\n43959 90192\n34909 58433\n18325 78752\n24736 75810\n33170 95388\n18607 71647\n4025 44776\n14674 28176\n17224 72560\n62253 88014\n47404 59207\n44230 81481\n72913 82215\n8747 73138\n21772 88849\n13437 79574\n14362 43308\n16419 82006\n6797 24453\n70402 99540\n57823 66953\n15239 30042\n16870 76714\n42528 43771\n41332 99938\n73500 86786\n7204 62642\n43049 86895\n8222 73699\n7573 58982\n31141 62461\n14617 21056\n45530 66078\n28038 50888\n65049 79039\n6424 73457\n36901 96449\n23122 76081\n40051 95107\n7874 87998\n5072 48765\n75809 85661\n56713 87190\n27505 76192\n67083 98535\n50486 57546\n8003 10109\n6488 32940\n21483 58969\n38447 72654\n6614 39911\n5266 18074\n30588 70577\n34775 91284\n37213 70447\n20565 82455\n21212 66995\n75075 75614\n13073 96044\n22974 30346\n13328 97036\n37209 76264\n14971 51617\n35571 91382\n30146 54090\n46723 76537\n68081 73138\n86213 96805\n18570 43658\n25336 53503\n1203 23184\n47080 88918\n4592 56495\n91136 93472\n72107 80284\n6932 15787\n11028 13161\n15002 90529\n69951 86706\n34429 74334\n82013 82384\n27612 69862\n59937 93909\n6079 29058\n55525 95016\n43165 48894\n21839 87874\n22136 76825\n3537 9569\n46736 82452\n18746 97922\n25270 38783\n13562 80322\n6153 92250\n26811 75083\n26089 68576\n11766 50286\n16537 93049\n11369 79563\n73057 81281\n30079 54598\n32691 97327\n55564 73319\n16193 73204\n21658 89400\n65949 71130\n53641 64599\n53102 90335\n13555 79761\n22332 48703\n14963 70482\n55933 67507\n17894 44790\n43935 53010\n51603 84871\n40965 55250\n14091 70597\n53759 56495\n65368 77525\n877 92567\n58258 71346\n596 9081\n9871 31838\n16991 89535\n90436 96253\n4767 18721\n15998 58309\n57755 99825\n33621 58440\n56270 84616\n3036 9724\n6390 25950\n29699 84993\n8260 63861\n59032 60736\n63329 69976\n6337 66757\n1571 94175\n24426 35109\n18019 54271\n65002 92626\n15535 97197\n8038 39110\n39192 70809\n15498 97126\n86268 98738\n47544 79230\n15702 72548\n68909 71253\n5007 72718\n34131 45897\n31500 60579\n39706 89088\n61550 83703\n16530 41777\n853 21094\n65687 70490\n28502 61555\n69370 85669\n35311 54099\n14610 78323\n37943 52904\n11970 72977\n11552 88327\n35450 60656\n34035 77640\n9713 50358\n1051 94420\n4194 47938\n7221 29136\n55055 60723\n8938 80595\n38226 87021\n40956 83725\n49232 82973\n55820 82059\n18133 92240\n47982 85555\n43549 90382\n23035 37676\n16097 47056\n1178 83177\n21038 22234\n2817 60398\n469 15088\n7149 89573\n22180 71601\n11744 40965\n59304 90322\n61496 89663\n42668 83190\n65089 93637\n8616 11699\n80422 84835\n3011 48096\n17760 90082\n37921 45668\n23224 85893\n52511 98801\n18327 69180\n28710 39866\n13318 64802\n50076 90539\n3673 13237\n26042 58298\n62911 98614\n18615 32007\n30318 58643\n26203 60430\n38376 65701\n23696 50880\n1985 52966\n46102 64863\n38118 49082\n922 64403\n54298 82257\n12886 26576\n16341 45018\n1328 58379\n28760 64708\n3207 11791\n22030 27515\n896 38799\n56578 85766\n41800 50083\n58203 89165\n41438 68738\n25308 27788\n23388 64698\n4297 22110\n47048 64429\n29728 49388\n69380 86805\n63452 92929\n14061 78589\n23185 28172\n3312 81506\n44447 52420\n30972 93477\n20258 72683\n14414 16308\n61768 98183\n8746 41586\n6582 8945\n45755 75593\n20502 91433\n26300 27556\n2148 47681\n46984 95819\n23069 77172\n49766 51149\n8929 76629\n1479 45736\n32016 63301\n7428 45353\n22429 32786\n56550 88666\n37573 91924\n74915 88593\n64035 84222\n4870 30476\n75246 85488\n44296 83372\n8075 68710\n42091 67079\n57955 58638\n47549 91642\n13986 31993\n14178 47924\n5401 96367\n341 63159\n33123 98951\n2807 48372\n54224 91327\n21541 33283\n12383 75275\n60763 97031\n14560 92225\n26435 68745\n8171 92900\n7986 58712\n58577 65754\n9003 15700\n16291 49296\n35680 38079\n38248 57873\n77534 90992\n43710 88258\n2241 66089\n2445 57540\n62036 76067\n39596 59203\n918 60578\n32646 43244\n18209 54834\n67688 98894\n10796 90181\n49193 58458\n26891 79957\n39420 84121\n13889 29469\n34407 95062\n33794 59262\n10372 31341\n463 17470\n7577 61078\n9158 68788\n22958 88660\n49663 85284\n10907 30729\n67440 73105\n267 40696\n11533 20029\n2059 80269\n50665 62969\n38442 75372\n68490 91124\n37998 52823\n9271 47062\n8000 8465\n6131 46661\n4610 94434\n29924 79569\n13972 23321\n26658 73875\n22325 84151\n81586 94157\n566 4751\n15754 23053\n72792 97622\n67731 92629\n34042 88713\n17923 88089\n55701 73642\n6907 18116\n18862 71845\n48902 85255\n48352 88761\n91197 92055\n16086 47289\n4830 79784\n12477 88455\n33479 44114\n32956 94819\n7708 45197\n7933 9981\n42137 70975\n24243 61071\n41806 99637\n5994 24116\n17578 94568\n11534 43985\n76532 78815\n2401 20395\n43591 45210\n33495 95858\n35963 91987\n41297 98870\n55261 76153\n33826 91214\n14358 22094\n25712 91105\n5323 38946\n15274 30088\n41158 68639\n36367 39788\n77 60589\n6009 70553\n13978 47736\n48060 96010\n18547 37581\n3358 36130\n40987 72705\n23848 42416\n50837 52871\n28867 39095\n32373 97863\n2885 93879\n42655 63288\n15591 59001\n9964 37865\n33519 90553\n38894 98511\n32069 33355\n56073 66922\n1704 61167\n89707 92924\n34776 61721\n12029 28243\n3020 15383\n26780 40014\n4653 24893\n71581 91782\n22975 61878\n73693 94933\n34561 70637\n1931 93093\n13441 47510\n9976 96040\n13451 37860\n16222 61601\n63318 65743\n65601 87874\n71894 72624\n33467 34988\n28521 72516\n16265 40511\n20473 59216\n79715 90999\n22598 84423\n2640 64785\n76860 94574\n83743 89088\n24966 78323\n77205 86893\n20637 32356\n26686 91075\n22697 78663\n32045 32178\n23721 68617\n23133 84723\n7657 39565\n17761 70000\n7626 81556\n68615 69777\n52661 88574\n5389 87577\n50321 88498\n13396 79093\n53366 80231\n20206 26292\n37867 51245\n3615 12018\n2322 75987\n40979 84786\n77405 79766\n63587 64573\n87473 91400\n24765 47419\n4606 5443\n2769 18657\n17959 60650\n24672 90546\n26896 42082\n5064 11729\n21021 30629\n23552 99228\n16470 58483\n1011 66026\n38763 51428\n20055 26913\n38061 71025\n93919 94393\n47313 64945\n23808 80089\n87303 87638\n70170 86930\n2333 22100\n65165 97303\n78719 96464\n55143 98831\n96214 98080\n27759 93716\n54905 57509\n30374 70881\n16246 50750\n67302 68850\n7872 11575\n7225 14648\n64411 97741\n3222 73952\n29249 34879\n22339 81914\n24739 51829\n2197 80726\n40271 78213\n72908 73315\n22048 65532\n48511 53600\n43297 62564\n45453 51504\n3614 29320\n70907 71651\n10891 24584\n52437 72730\n32225 79193\n35747 62246\n13814 92815\n18679 35757\n35108 67021\n4948 5791\n9215 24375\n35853 38992\n17540 94737\n3218 53811\n11132 54714\n63456 77348\n3477 8161\n64616 68185\n14010 18879\n42586 69882\n7561 46736\n5986 36624\n27293 89546\n21282 27256\n4320 76452\n18614 64202\n79688 99561\n5980 74757\n4994 29320\n28224 29104\n57131 77638\n14105 30660\n76426 90793\n30561 55792\n22988 45644\n62954 71287\n3288 67466\n15735 53523\n54405 93375\n27857 32771\n14113 88464\n6890 44169\n18074 96607\n31060 50556\n25239 41945\n78236 83110\n5736 46040\n55506 96860\n18032 83717\n14284 66925\n19077 79135\n41766 55673\n242 44361\n47428 76063\n10414 12685\n24661 96413\n16075 73820\n15524 91979\n10821 50675\n37286 79116\n11501 33016\n1557 36520\n49252 73204\n51678 54858\n43517 82860\n41460 52597\n7830 44623\n14664 31040\n48273 81377\n28165 85179\n23035 62671\n8799 93645\n39327 83588\n36915 39012\n4041 22330\n1361 41227\n10213 32502\n16027 22035\n13253 42182\n8591 75491\n38330 92584\n64197 67115\n19019 45972\n21294 39468\n17738 97735\n16145 48068\n56184 64488\n14085 59844\n21345 81735\n68521 93845\n47191 87796\n56346 75042\n19830 59298\n59628 97611\n56366 96667\n6757 86617\n29941 40656\n14311 94414\n56400 93412\n12090 97666\n38870 57926\n14989 23797\n71502 78198\n29822 95670\n16707 27707\n25197 78620\n43594 69904\n2480 12352\n23773 55611\n77568 92836\n6809 35725\n39548 41909\n7256 56635\n22357 31670\n1329 50981\n47775 96707\n47216 57994\n2048 76858\n22445 59492\n36937 58363\n47792 87093\n50056 64213\n9489 83350\n46299 59853\n63604 95778\n32585 72376\n9721 91648\n60469 61507\n25037 38186\n36808 93728\n13341 42318\n9810 29866\n47209 50480\n1740 17369\n90922 98124\n65455 82956\n35180 72348\n26505 54013\n18584 51124\n16168 34664\n4446 23490\n28621 72281\n36051 75799\n1961 56111\n60963 82534\n8528 85859\n38481 95059\n17852 69849\n30142 62362\n7250 69445\n15707 21734\n44021 65469\n15771 90319\n18577 45911\n16045 17778\n59203 71369\n69368 82391\n8002 32223\n81175 96293\n9443 80382\n26957 90250\n27900 56402\n1760 90778\n77568 85660\n9666 91785\n16699 69840\n23464 58828\n14032 24250\n57175 98841\n65771 69433\n13731 43381\n42139 65379\n44089 86469\n59918 79665\n26942 54855\n3543 30751\n12164 75637\n17129 63075\n46030 46539\n75019 84605\n11835 17626\n30311 57690\n703 58368\n50680 59098\n39984 50140\n29920 46518\n84836 89062\n3456 3842\n18642 31405\n16794 71801\n68354 83345\n55378 83965\n13055 22538\n615 99752\n61538 80091\n2891 100000\n23653 81502\n8276 58134\n35815 81207\n49479 62844\n60499 83742\n31042 82444\n53463 58849\n48799 90100\n2303 50291\n13580 51863\n11667 75598\n5849 51762\n32303 76184\n61779 67171\n74191 93646\n19468 92050\n20858 43431\n48547 51005\n6089 83661\n35857 74739\n9170 26643\n11847 35624\n31046 50779\n64088 91043\n34822 62941\n76353 81486\n51138 81592\n10460 86581\n30612 83416\n62021 84612\n75368 79220\n45936 54553\n20025 39139\n14540 94744\n37388 37867\n21893 39552\n84987 95641\n70155 75200\n50701 91132\n72427 85839\n44766 48674\n58353 66289\n30362 63825\n18265 65056\n59227 85269\n59157 92764\n2220 49409\n83979 98315\n65021 84497\n62057 83039\n36187 62144\n1005 12343\n38803 98279\n644 5618\n19606 87144\n64724 90546\n5879 62580\n82355 97056\n11835 86222\n65909 77644\n6779 49438\n39211 45520\n16967 30724\n13806 19454\n76467 91795\n8061 66417\n5429 50515\n1493 90109\n67860 95044\n45436 76260\n20189 60015\n29651 55587\n12361 28288\n35064 54771\n66760 87318\n18754 54827\n26318 27958\n69097 93119\n39313 41671\n11844 26153\n5863 20883\n19311 63158\n8398 99480\n13734 24179\n71884 99740\n45195 86428\n47341 96525\n41854 42812\n8819 69379\n48746 84210\n12295 35432\n18562 66199\n32871 42818\n20649 50913\n65820 73165\n26772 79942\n50239 55301\n27197 68884\n76929 98923\n69434 75176\n1100 13571\n9441 25461\n48888 75203\n29792 97697\n38176 59160\n919 75932\n39364 78096\n25121 30235\n44665 82338\n4255 37181\n21832 74488\n2180 80826\n3380 75626\n58325 70218\n22396 88530\n2501 27780\n23404 99917\n76708 96302\n62500 93260\n12589 60633\n2951 48872\n32874 91096\n27394 44309\n16372 57405\n5114 74057\n23798 89702\n3461 83508\n18451 52611\n18517 45924\n12462 78707\n72540 96980\n58801 74315\n17609 80879\n48702 99659\n12349 87137\n81889 85659\n14494 80916\n50 54636\n76050 85075\n22663 85791\n27699 83204\n3491 53315\n37381 65180\n17921 65553\n93238 99048\n25733 38081\n18458 18748\n47960 55308\n17856 71347\n4703 66879\n7134 93544\n72321 78590\n31839 76868\n28658 73407\n12692 25836\n8009 10022\n77902 94423\n75293 96553\n1374 54030\n20521 54957\n20441 71998\n23728 43065\n53457 76015\n82402 82545\n9492 26252\n49176 65852\n26579 55236\n29465 57010\n80189 93247\n14717 20294\n51456 78990\n67155 96023\n56881 75070\n57108 95188\n19061 38883\n73353 74193\n16365 24173\n66460 86486\n9310 70021\n30639 76664\n39566 57729\n31687 36797\n24106 44070\n21173 77147\n45933 81810\n21407 65586\n1744 50670\n33029 93000\n29768 79962\n49788 76832\n29812 82127\n1991 84522\n42198 86671\n8694 79806\n27224 93426\n8501 35756\n41209 83033\n79367 89009\n53723 73024\n55641 59791\n21989 56007\n30888 81019\n7733 57486\n47236 58919\n55953 69066\n3178 94921\n79137 80036\n51406 82411\n7996 93448\n33917 91052\n83734 99312\n30127 48838\n53449 68880\n86003 96956\n77946 86768\n59692 88358\n24066 39552\n46069 62139\n60975 87728\n66072 76449\n14072 74953\n46580 97302\n4771 83472\n56884 93799\n17573 68356\n91309 95654\n63606 73575\n39592 66438\n22343 61268\n33558 80234\n34461 39673\n20589 92455\n8041 58526\n48863 99656\n73910 88251\n63209 90053\n29418 92548\n73115 84376\n21925 96635\n66208 91757\n12236 74480\n8959 79192\n43304 55971\n52440 62719\n26865 47700\n54232 65416\n24378 93155\n21963 74825\n14665 75732\n31982 91208\n45297 83604\n51325 61330\n55398 57425\n1167 9693\n32847 98633\n7962 19329\n94046 95010\n36995 73538\n43255 57124\n27454 57080\n53299 88616\n23915 33700\n48314 52289\n36521 56137\n31454 56768\n69065 75674\n2359 58259\n29139 80804\n18602 74005\n25206 33888\n16393 44599\n85368 87867\n80717 82798\n66088 98475\n5264 76505\n55221 87802\n5910 11578\n31721 49269\n45329 52003\n47212 91120\n49182 99952\n2298 4396\n67345 90106\n21207 50776\n3711 59754\n30504 71757\n470 96825\n32892 41827\n6298 67607\n42382 56217\n30413 80446\n27397 80330\n38498 72501\n62004 96211\n53762 89179\n78558 95674\n2939 87218\n3318 47136\n20517 30119\n25570 58117\n16822 33048\n29297 52448\n7265 97372\n74632 88532\n5719 53748\n62339 84546\n8861 17373\n52285 79342\n12606 70524\n2797 19815\n66629 84316\n29626 73315\n32042 46764\n75753 79898\n15571 63958\n2544 78731\n71109 90963\n32917 56461\n80 83643\n71632 98897\n72376 77011\n1194 48533\n26885 33108\n23796 74384\n69837 72721\n6385 21297\n6870 93556\n68392 84891\n15694 25625\n76463 88891\n15799 94130\n4020 59751\n79175 94190\n51174 92546\n67128 86634\n29574 87115\n15132 79189\n13768 26056\n35916 63527\n12911 72184\n69057 98709\n7632 72521\n62418 75287\n75363 81678\n55540 62560\n26653 50608\n54066 97150\n25005 40683\n33564 38098\n22141 74363\n43069 61159\n6461 15439\n12068 62227\n46228 57262\n70355 86352\n39192 78731\n52992 88503\n12637 75902\n80345 89476\n53028 82222\n8037 46218\n39757 66979\n1264 60112\n81937 95140\n63526 83990\n41186 64692\n29780 38581\n14614 37923\n23584 60823\n51102 51907\n20720 59899\n8974 82398\n20411 81448\n76656 93899\n69859 77491\n65473 66204\n47135 55564\n18971 57556\n2533 61288\n33927 83939\n8628 89917\n75907 83452\n26265 42521\n61680 85607\n69410 75809\n1443 65298\n45033 48545\n17494 99744\n70385 95218\n81435 87048\n2914 54988\n71946 74516\n82686 88279\n23472 68079\n53372 53794\n16549 59334\n2722 98540\n25470 94502\n51266 72526\n15581 32485\n74899 86419\n33164 83654\n14989 92376\n40072 91207\n69252 69628\n63560 92387\n68902 93317\n974 33441\n50437 90308\n68359 95216\n45773 66302\n14735 47276\n48621 61316\n2894 65257\n82696 99867\n20203 89916\n46154 86936\n36841 77649\n22786 54519\n64471 89852\n37196 86216\n11080 43060\n52561 76300\n44270 83173\n77137 78415\n23520 67636\n23778 30048\n37081 94150\n3880 71980\n20196 79576\n6895 75629\n22612 82901\n4196 80068\n27186 43947\n8664 89277\n64265 80973\n69509 79615\n43214 58969\n65962 92747\n52802 77193\n60803 93629\n67585 80526\n80887 83445\n28688 33421\n58147 67391\n15215 57213\n11215 93258\n6901 69942\n67527 98919\n17936 66035\n4956 19222\n8574 51339\n35877 74792\n54737 57771\n7576 85677\n24932 40272\n37284 70393\n43354 98401\n55559 91003\n45969 66469\n30442 59608\n11067 78161\n7357 56412\n40193 82249\n19000 84093\n56417 81527\n38774 57111\n17813 59446\n22445 47256\n25191 83122\n89591 98623\n13394 93660\n6993 22529\n20968 74574\n28633 41786\n47528 64085\n43510 92116\n43133 95164\n55656 72619\n44698 81467\n20600 49596\n31823 39338\n27945 67538\n12242 53632\n15342 80248\n70309 90330\n2128 13204\n33882 68273\n10601 87910\n18100 98219\n53084 86126\n13722 42394\n36408 83984\n9711 86945\n15513 78292\n53675 87897\n37800 83806\n7239 64350\n3356 98402\n16197 97486\n9288 66884\n46398 73126\n35208 97451\n36346 49008\n33386 61439\n72529 80781\n12808 38639\n30530 30703\n20773 26517\n32119 67408\n10248 67439\n12133 38248\n11388 64683\n26813 56707\n43648 55642\n59820 78975\n43830 73133\n754 83585\n8259 40224\n10553 91314\n38446 38511\n37775 96235\n28929 84560\n6373 75816\n6629 32787\n52254 60878\n10451 78657\n61677 91015\n74895 94085\n5324 59631\n39735 93931\n58583 68316\n79608 99644\n44956 51226\n12362 14924\n62796 69094\n25834 39270\n33127 49026\n10288 92803\n5378 17737\n74460 97387\n9092 74290\n19716 31266\n51330 89163\n811 3375\n33398 84169\n73865 87646\n2554 7521\n7968 46277\n68185 76504\n31473 65879\n38202 73337\n31902 67141\n7923 9551\n81589 93205\n28843 34800\n8529 46124\n66721 81483\n37408 46186\n95344 99904\n57433 75581\n37753 93430\n8040 34200\n16286 42914\n34637 95833\n30391 82550\n16316 19819\n20129 62415\n41705 57799\n56296 82175\n61792 94609\n90767 99765\n9749 79600\n50906 95596\n80383 93948\n76136 83670\n80161 83112\n54166 58908\n21251 97024\n9560 26050\n40478 40788\n6631 38020\n10493 48344\n10657 92031\n35722 62635\n41675 86486\n40684 60022\n14133 47778\n27295 40970\n43810 51482\n81537 85543\n51181 52816\n6795 87965\n41502 53277\n2281 23824\n2436 59446\n40790 59137\n40924 58834\n41726 57174\n21110 80817\n29071 91688\n59003 70961\n48748 50319\n7346 62976\n66457 75990\n32884 39376\n2709 83104\n44140 78681\n38520 75441\n50369 87764\n3567 45594\n12645 58603\n47644 49996\n66297 89117\n33663 49703\n90 16283\n31535 81526\n22976 51504\n14736 71741\n13980 19230\n37450 65174\n28797 97788\n3048 49426\n17351 22437\n49465 99336\n18230 74248\n147 28424\n22783 26814\n66627 96005\n69473 91078\n2637 98280\n51174 87248\n55249 79633\n30435 71142\n54660 82318\n84711 96048\n39358 48784\n7321 85643\n15327 81070\n8555 32956\n9971 59652\n7655 98039\n58466 91524\n16109 46334\n64683 90169\n33681 62782\n11879 12108\n93322 94763\n15095 87965\n57191 93471\n55573 95443\n32577 80578\n14911 33108\n72851 93321\n98984 99478\n6799 11281\n43221 92610\n2188 40331\n25272 68186\n22633 54900\n67409 72269\n9387 81174\n41569 67471\n47101 56299\n30221 58147\n9430 47601\n88697 95741\n10297 41392\n67778 78857\n2645 74800\n5596 78338\n43001 82913\n1270 63675\n33108 91797\n76486 77216\n96910 97447\n24546 82768\n19673 35460\n2234 80377\n77869 79372\n8382 49064\n45950 57565\n42538 49363\n15741 84085\n45833 54477\n31815 39462\n35833 57253\n9765 88455\n61133 98413\n24089 93547\n35149 98309\n15270 63839\n21064 58675\n7566 53557\n34248 47842\n84192 98063\n22960 97994\n57986 85249\n87404 87996\n5011 62659\n36914 81549\n30551 34512\n27825 65840\n4630 14956\n68188 86233\n45207 53348\n24446 59333\n7200 81671\n4415 40866\n13619 54932\n71591 71959\n28864 36592\n42638 61624\n15504 96446\n2632 93007\n9291 37626\n14383 96651\n27562 86294\n8393 75972\n11966 66474\n2079 12285\n14087 36262\n71433 79724\n24940 77003\n35080 54959\n872 95202\n63816 93703\n71878 80660\n47365 49974\n12580 33814\n19953 95467\n17364 51891\n1859 33806\n12834 83917\n75943 91005\n9288 54863\n40099 92195\n43747 48909\n27661 30609\n36267 94478\n4934 68358\n10777 39700\n21755 48181\n37522 43335\n18608 61622\n45137 53599\n48434 65574\n28064 99706\n1547 72274\n11068 45280\n50946 62338\n44111 67588\n2296 31381\n27993 64014\n50617 89429\n86 11320\n36504 40496\n17559 30803\n4775 88385\n30838 99956\n22912 50187\n17928 37273\n17571 49194\n75432 90291\n864 52769\n19402 72562\n44124 44169\n8995 68015\n43051 71326\n71371 80284\n35155 82649\n25967 50290\n20041 90660\n40237 90323\n21027 81054\n8704 21298\n51453 97996\n33897 98434\n470 52734\n28419 78981\n47663 71689\n5974 52157\n53429 92689\n4063 20942\n21764 91970\n16182 65705\n55105 63666\n28199 64002\n3091 78305\n4577 81177\n1066 42728\n84292 91575\n771 32353\n44013 83568\n63882 87486\n3772 28183\n42432 80834\n24381 32892\n58918 59848\n21286 58092\n9054 60474\n69823 74444\n64639 94242\n24180 29476\n4094 91245\n32938 62328\n24485 79156\n18662 52211\n13299 54334\n33950 53206\n37879 72866\n96129 99317\n61914 79321\n94329 96517\n18620 43036\n14440 44541\n32626 80152\n9040 39671\n58590 68665\n28053 76148\n37088 95697\n14888 48124\n16467 27874\n2288 91460\n8249 69206\n55003 55875\n9103 87360\n347 91504\n62993 68860\n33052 55132\n39586 85222\n68048 88260\n17720 96784\n1704 42951\n47492 98897\n26452 56917\n5055 99639\n60426 64740\n10653 17162\n10025 45201\n20771 32865\n43425 79720\n22447 86633\n73800 94889\n6463 20217\n32471 99299\n28500 76381\n583 29198\n25741 97939\n22530 25521\n56822 97601\n23365 60216\n24459 64189\n65712 99700\n41940 90430\n18159 29729\n12017 52868\n2902 44771\n53018 78605\n56944 68865\n52188 84367\n33525 83654\n72202 93654\n20095 90884\n33958 67514\n12686 92945\n29128 95128\n11588 83840\n43793 76994\n39791 52910\n23066 37150\n14625 68285\n5431 78959\n21731 76871\n58241 77773\n60725 82964\n80517 83037\n55681 70379\n1122 69336\n59861 68061\n10764 15886\n61540 82521\n13121 84578\n14066 70304\n38358 56113\n85677 93838\n67863 93275\n10923 47813\n33244 98901\n35917 59834\n57139 62341\n4529 96835\n2768 26239\n47868 76240\n10297 12324\n4145 17468\n54687 98651\n15683 87336\n51841 85585\n82345 88619\n8513 67742\n29870 69932\n17777 28935\n54453 92200\n19235 70353\n80223 81078\n72955 91729\n19969 50294\n18507 97991\n45897 51657\n35848 78201\n4214 66256\n36773 62569\n29768 56330\n62875 90886\n38871 51946\n52703 59324\n9792 97044\n8531 61922\n27668 99373\n45725 54786\n50688 79473\n84220 94326\n67169 68015\n17530 51621\n41105 94157\n24624 84594\n55191 63884\n10567 90237\n6246 84582\n14073 50726\n6695 99007\n46861 74539\n19336 36378\n27361 95059\n11766 35852\n51158 80016\n19039 59127\n59368 63366\n18499 38632\n19075 19177\n9853 51379\n1055 60898\n23708 36058\n37662 91979\n20221 93364\n34635 48698\n41296 72243\n50644 90596\n89751 90686\n47590 66074\n37733 64850\n149 63515\n61181 80088\n20306 87001\n14300 62683\n60780 91381\n18073 73780\n27136 97816\n56864 61237\n86031 87597\n33697 85859\n7113 82234\n33523 89515\n28216 28530\n56035 60649\n38533 54781\n4887 89271\n40007 41926\n11751 46687\n11699 32361\n46969 65119\n38254 58514\n61474 80523\n17076 95738\n70911 96184\n25716 26522\n91585 98316\n6071 64524\n27464 72254\n55558 93579\n7386 10157\n46673 69508\n14941 83762\n32076 34761\n6027 69280\n29149 79317\n40358 93369\n30977 90517\n5135 36331\n26090 43822\n5282 48222\n9240 27546\n17842 29127\n3421 25980\n332 51918\n26872 44915\n75034 91321\n2228 69603\n45732 63450\n12086 88621\n66124 80014\n27830 67284\n67812 85035\n29574 79302\n1875 30196\n48891 60481\n4888 43716\n21077 66202\n44919 46945\n49788 60532\n62804 77114\n11642 99420\n77851 99801\n16273 71818\n2409 11242\n50947 88670\n40031 73398\n19867 59794\n58383 89039\n14208 16663\n22747 96487\n4222 93880\n40005 96869\n43443 56344\n17286 65809\n3028 5242\n32331 47111\n19820 87355\n11228 70589\n46914 90025\n11063 39445\n51704 76415\n2532 4449\n41358 80762\n13315 53959\n5784 62830\n72354 76280\n69018 91433\n13316 41768\n947 63023\n18270 35918\n4321 47194\n41411 51785\n2909 97681\n22370 66423\n39463 78615\n13135 94540\n49883 85052\n655 97123\n23231 39558\n52776 71279\n19364 48141\n4075 12999\n29941 97363\n72353 95951\n9498 87318\n26529 33167\n40621 41740\n24174 50048\n23322 57050\n11514 68324\n32904 38516\n57055 69413\n6225 63230\n6521 86985\n22302 24981\n28837 78856\n40652 57973\n20665 34641\n13755 62951\n58305 95762\n27183 65568\n20483 77192\n56652 81950\n6041 93760\n366 96333\n32032 35167\n13543 97046\n13937 97216\n31970 83579\n33407 55880\n14717 37686\n35905 66909\n19807 69424\n451 34789\n52139 91034\n14503 58912\n38139 74795\n1292 60581\n10187 19671\n11393 87367\n59253 77967\n34714 83592\n15131 34112\n55816 57085\n522 20720\n47442 53685\n10653 44625\n79974 87081\n7379 70098\n18666 36191\n38284 96726\n17585 53375\n72957 84140\n10434 12871\n55897 59535\n49082 86997\n4746 63819\n32745 50468\n9907 68727\n14573 94524\n52953 73571\n58572 65360\n32865 98435\n45748 79207\n49581 92490\n3689 90088\n36552 67450\n7336 70467\n27855 53534\n33530 95920\n59126 73497\n20540 81159\n5154 64922\n70110 89990\n21109 54807\n12535 18892\n36351 68050\n50056 69779\n53465 55047\n17915 53493\n68464 99098\n21933 58286\n2430 99242\n73539 99513\n36048 68788\n30307 38240\n18451 74234\n29459 50854\n23366 41777\n70953 94106\n13257 55353\n18018 54895\n68244 78391\n14762 17691\n48086 94642\n1732 81396\n55390 90186\n82638 87475\n41281 50571\n58179 58527\n2703 83509\n12504 72966\n55541 66047\n27590 60120\n4148 50105\n32791 51443\n40928 55296\n61630 98202\n75097 96824\n22301 47953\n20489 48858\n1373 9400\n31926 66597\n5766 92546\n26763 55139\n7680 83159\n64226 88111\n478 4349\n53715 90659\n6421 22847\n60302 84302\n62910 66110\n4913 45660\n35589 46895\n22398 24021\n5040 12627\n12130 67359\n38614 53799\n4217 91327\n44934 57625\n8827 28961\n56124 60862\n52879 79133\n1920 28584\n58558 65122\n59058 74140\n13955 46186\n8480 15892\n24763 73996\n140 67682\n989 63760\n37580 46437\n22619 61453\n53109 66297\n25125 69356\n43061 85718\n10594 35416\n29834 59896\n30671 44906\n8924 60274\n25403 29311\n32282 69181\n51293 80202\n5934 52591\n21364 89649\n82670 83855\n47342 49077\n74132 75283\n78395 91082\n61714 79877\n6035 19958\n10160 81384\n5794 83259\n88632 90716\n26076 82360\n2153 77028\n31595 90591\n668 45340\n46796 73392\n11876 16653\n21270 81243\n9421 26487\n36822 78179\n37103 48550\n44612 80269\n29346 38467\n11950 32997\n42236 97705\n79123 84096\n57154 90575\n84491 88471\n66910 72398\n15194 34840\n49218 73179\n36263 50654\n7330 40237\n37827 85706\n51242 76811\n35426 66655\n49303 50810\n29339 52552\n62350 74001\n24411 65613\n28313 96737\n41329 82064\n36702 63945\n5552 88071\n832 16239\n50629 56644\n35587 86203\n24464 29981\n7285 35609\n8370 72468\n73585 88450\n65139 93378\n16760 31301\n50176 94242\n29586 82149\n77893 78503\n48626 88227\n57747 98908\n38753 79751\n63434 94571\n2068 83534\n8030 64418\n14586 43893\n42341 56262\n58476 86090\n20315 67764\n18891 35921\n1538 4275\n63511 71466\n9940 30840\n16703 95924\n67563 74085\n33522 85144\n6185 34704\n5312 51805\n34853 75986\n53941 58402\n9486 87613\n23738 44698\n17025 56587\n703 41860\n70324 73734\n7071 29779\n35871 37583\n66986 68771\n3252 32242\n90293 98291\n24387 98093\n58286 80890\n17176 87380\n62457 67735\n57045 81261\n29665 83363\n1011 11379\n51066 66470\n41099 86872\n21882 28368\n50050 75527\n60058 69174\n22226 61545\n21849 72443\n8326 51447\n21432 52833\n53141 98699\n11814 21532\n2763 4039\n26398 78957\n45214 95523\n6809 27187\n5504 14764\n71648 93808\n2470 47861\n45844 55517\n47420 73181\n18201 18363\n29257 60087\n2217 33535\n61818 69792\n10751 38256\n67774 75816\n17852 24550\n93085 93316\n10358 79287\n37364 72911\n35204 71869\n64007 72532\n7704 91513\n30357 39910\n29915 33543\n24726 35317\n7210 46151\n11728 54904\n4187 55748\n48688 84354\n7414 36544\n1122 12559\n15786 42319\n36695 92099\n66435 91744\n83337 99448\n56030 75440\n57402 87925\n11702 99734\n19338 29772\n13726 39619\n16582 53865\n26593 91055\n29181 69153\n45266 89976\n27398 68271\n51472 58908\n22634 76865\n9905 99078\n10249 67648\n32254 55192\n45115 73385\n24664 51173\n33589 45396\n18744 52474\n2292 16018\n36057 59766\n23497 41430\n28627 80166\n69085 86527\n17529 52784\n54360 74195\n41995 60959\n20328 83955\n43895 63482\n20323 45831\n58738 93818\n12235 95220\n57015 91036\n31887 41791\n25670 96422\n60371 91555\n30082 36263\n63639 82793\n70426 86772\n31090 65703\n30392 92272\n2402 7060\n36789 72589\n32089 52797\n60225 70281\n35720 63152\n24538 60898\n43982 57974\n29149 59849\n25214 44531\n69850 93929\n1936 23378\n24130 45273\n26146 64712\n29706 45495\n20367 80148\n24523 75623\n48358 71175\n15818 72858\n13971 77407\n174 49237\n91947 92278\n49354 74831\n26476 80420\n8884 31325\n4305 35587\n41447 46390\n40694 76681\n19132 84589\n84151 87043\n14280 71784\n9787 90178\n73126 83211\n56251 63572\n32408 35735\n13116 97346\n25933 67547\n40930 69641\n22838 82202\n82762 90200\n36907 97673\n23055 55704\n49898 59306\n39053 70603\n35154 72231\n21139 40849\n72364 93641\n55417 94957\n20713 60673\n53563 79101\n21081 40524\n60520 70758\n6429 97910\n59955 85602\n4257 25313\n45248 72736\n564 61301\n13655 83816\n27681 65931\n14078 14141\n50029 70290\n16480 84142\n7455 61914\n4009 98932\n84575 93421\n8073 19511\n32178 74843\n24972 82182\n75823 91317\n74688 83933\n13388 95876\n26395 41633\n6649 98773\n3503 40918\n21491 43273\n40315 57562\n44615 68699\n33056 85607\n17178 90675\n10610 72710\n6571 92522\n44436 60648\n23138 84626\n33689 78429\n74155 98487\n79360 89708\n39326 95416\n41784 83431\n19951 61210\n59773 87789\n10079 10830\n22163 44173\n48395 50820\n39096 64286\n38464 86437\n55883 61887\n9291 41462\n23454 72634\n26615 90271\n17182 48689\n49083 74828\n22102 68194\n60657 69235\n28663 80488\n4683 91985\n18327 44579\n30617 74204\n27366 41041\n79282 99465\n30255 45631\n45852 86144\n870 78126\n15154 54722\n42871 88363\n69051 87598\n53073 66344\n64303 78213\n8940 16804\n7839 19407\n39065 96238\n49670 83799\n58529 68819\n59169 72970\n64255 82090\n9870 31869\n8060 16074\n8706 19511\n15826 43550\n11340 89580\n2208 62224\n31308 83184\n60000 92644\n12129 31783\n45373 48253\n62176 63815\n6605 45884\n59458 78355\n7995 85678\n17843 95876\n33078 88325\n62266 94226\n34857 89558\n44001 46464\n18775 44409\n57391 72253\n47314 54504\n1160 69581\n71624 88856\n11311 51059\n36363 57392\n18103 84276\n27342 69796\n31341 49053\n35884 51101\n35886 58338\n36534 82319\n31125 36473\n44058 97384\n24108 28642\n5442 78622\n45970 72136\n67413 89763\n23785 68099\n62556 84821\n47112 54429\n58687 88887\n5663 95972\n9870 88611\n60488 96696\n33458 65316\n24468 50739\n79774 84523\n14447 15708\n90304 97292\n46804 91596\n22585 89955\n54056 80901\n32489 95615\n58784 75492\n76534 93698\n48740 67344\n5941 23005\n302 13440\n15889 92303\n9911 16203\n34746 61008\n11455 87468\n19054 38355\n53289 60382\n11307 79672\n7777 12365\n18223 68636\n8381 71650\n21708 94148\n63188 72829\n70232 83886\n38514 62208\n17007 34758\n33079 54650\n79498 93806\n7321 83545\n24219 62877\n65455 91246\n25593 87234\n29773 59159\n37620 81993\n16326 40518\n4794 10388\n7572 7575\n12456 18658\n42034 80969\n18311 72808\n52597 68957\n67629 96734\n1181 92713\n55706 90605\n17035 51374\n11925 60581\n29114 97892\n39517 52533\n56048 79219\n1602 87834\n28391 61277\n35589 49092\n19135 89288\n74503 88421\n44200 97237\n20851 39156\n12134 74754\n2930 9435\n42511 43027\n60951 87302\n13249 71142\n22326 61903\n42634 55540\n23855 66450\n28607 35328\n45995 75029\n64090 87399\n54076 92924\n36459 62480\n62095 86880\n68153 71093\n27670 66309\n42218 60736\n29327 82476\n20776 43807\n31341 66812\n35914 65033\n32954 67601\n67580 93658\n684 92904\n46161 93316\n48405 98399\n43724 99207\n36100 37428\n34787 87873\n41378 56905\n32959 78897\n32723 50490\n19212 53194\n50360 84979\n51458 75013\n19060 47223\n47311 89133\n8856 37423\n75456 82139\n52936 85230\n18410 19406\n6607 13958\n45579 83721\n31321 37435\n9482 18909\n1501 67824\n19862 32441\n34649 73197\n51780 75769\n14848 68091\n9535 25786\n59301 62831\n23874 35722\n16165 26580\n54856 59148\n30394 51920\n46221 87182\n47383 59927\n26341 31173\n74658 77520\n22609 34979\n12348 69771\n45035 81599\n17561 78879\n21343 60719\n35698 78459\n52541 97926\n2673 89498\n27971 67881\n7864 71400\n12389 59082\n5191 18612\n22950 38737\n52599 70695\n7100 13336\n15537 79387\n7246 57919\n36439 97207\n2504 48375\n29595 43599\n71783 81669\n18923 43052\n43042 98711\n6877 51281\n62255 74215\n68854 76295\n41107 62850\n16032 16551\n14408 34201\n40647 55137\n69857 71351\n51201 69637\n1762 41470\n37031 37321\n26185 43095\n22444 54023\n71507 89902\n2708 96078\n34035 94676\n56578 74422\n15858 81122\n48659 71447\n1517 59772\n31164 63367\n69426 94234\n49907 70785\n16948 92722\n24352 62563\n69467 86742\n13950 80209\n53116 76929\n19034 91732\n80727 92260\n30620 43785\n27826 74362\n74452 80766\n66175 88970\n62452 86755\n27746 89308\n65386 85025\n23033 90076\n31970 99957\n36260 57287\n14154 79810\n16693 81511\n180 20133\n7394 28718\n40907 52441\n25897 85966\n62347 95278\n12039 99742\n90103 98617\n31435 65865\n65608 69256\n24529 25896\n18213 68065\n56134 82172\n1104 16828\n12850 76270\n2857 14162\n24520 53995\n15381 34013\n7422 62263\n47297 50821\n62108 93107\n48399 69538\n12506 65647\n75529 96267\n15986 64185\n56414 83632\n26399 98214\n75492 85177\n27087 93719\n26763 61783\n3796 70333\n69470 87697\n6660 57549\n26869 55180\n42203 79418\n35934 68873\n12884 96591\n6001 28896\n39274 64746\n7644 92997\n56675 69694\n17278 82475\n19794 74866\n26582 35892\n55450 72393\n36894 68362\n45258 97953\n40873 94602\n19836 29479\n11259 30326\n13373 56996\n27675 64953\n4876 95802\n38597 73984\n205 32544\n56269 68992\n30104 93702\n15731 35548\n37576 63881\n25383 90811\n16515 78404\n24448 81130\n25632 44854\n62871 63952\n22157 94834\n55441 88396\n6509 35891\n66821 79031\n49729 76487\n26255 86849\n12414 67899\n23255 54183\n35216 84917\n8032 18770\n30097 44025\n62563 76087\n10085 67015\n39472 66958\n45270 93569\n11168 43385\n4742 45941\n52262 94925\n17613 20037\n28754 64080\n38047 90012\n22054 35979\n15818 91038\n8902 93503\n15126 78342\n4329 11098\n47292 96808\n3960 48043\n65067 77804\n33917 44867\n18100 93954\n72447 79454\n31430 98775\n17780 38290\n69271 91294\n68147 70930\n13752 17302\n7482 59523\n4824 50350\n10515 78140\n51370 81318\n38514 62918\n12770 68689\n5074 86942\n7589 8832\n57099 91094\n11157 90915\n26406 32908\n55033 72748\n10665 45999\n11046 32203\n40398 57319\n21789 60289\n29040 50562\n72629 74187\n14634 73828\n14367 64934\n97943 98999\n60526 98375\n10901 32019\n12286 29860\n8668 25499\n56300 64349\n31330 69247\n53789 70568\n6811 60478\n80610 88431\n12617 21042\n27221 45994\n2152 8855\n54510 94583\n15681 57181\n43783 93163\n19986 55536\n46705 82019\n12428 90324\n8216 22198\n53549 74774\n57445 71468\n24031 63606\n3464 12569\n14499 35549\n78250 90898\n20000 62330\n48998 54016\n8504 61842\n19382 52794\n10202 83113\n44388 45017\n26245 55073\n28798 50156\n57458 77582\n30119 73905\n53632 91173\n1529 33291\n17056 69744\n33591 43006\n47972 85539\n28361 54904\n10007 22289\n12324 84621\n13466 42495\n34746 77176\n61717 95747\n39897 87824\n7805 39463\n23410 87741\n6135 23316\n17788 53777\n50133 78016\n15151 37630\n62051 79530\n42625 81969\n29253 77195\n47578 48929\n8391 15778\n2073 96453\n64171 94418\n19799 54040\n6067 25192\n52540 74963\n71493 88715\n10535 55251\n50400 84004\n28158 85700\n44827 46107\n57927 77180\n9715 70039\n32438 64031\n4660 63216\n15556 57194\n22698 62576\n33824 60102\n30503 72040\n37544 66893\n3735 95473\n64312 71796\n72801 90551\n18885 76195\n13961 81522\n14762 64423\n38268 87097\n91189 96490\n69283 82018\n29038 82673\n553 54129\n55366 79773\n63909 80351\n18457 72920\n24353 87289\n54226 76127\n84085 94836\n1278 57566\n44158 90369\n36088 67203\n15020 66859\n29407 49468\n13854 70853\n10052 83728\n90214 94043\n73498 79779\n22671 81083\n23877 83131\n64338 78201\n29995 89809\n69769 85427\n65603 86361\n8709 92948\n63623 74953\n37855 66474\n62249 96679\n61334 99199\n48139 53597\n17312 76899\n29256 60733\n40 68817\n60774 87673\n29677 96986\n13099 97624\n24279 72986\n9987 53392\n26523 94516\n10186 36810\n20225 22155\n20398 72965\n19570 67285\n24959 38338\n78829 80844\n44057 92488\n21715 95055\n21212 93658\n10165 32529\n5421 27705\n72242 93363\n86360 93196\n13768 13963\n6290 64064\n40463 86655\n83760 88377\n32894 81817\n43452 89634\n32035 51979\n30319 78718\n91669 92618\n29693 38593\n49538 80046\n16177 43098\n40511 51486\n89145 99683\n42785 58652\n24447 59281\n7497 45237\n2390 18571\n3837 54022\n51730 55020\n73300 82085\n12512 91089\n3154 92952\n67462 68907\n65661 98559\n23099 30179\n8303 61376\n23457 80170\n30152 42469\n44151 57245\n14045 84813\n49855 99794\n46288 48940\n22395 77728\n42940 57511\n32939 64041\n11291 78023\n57339 57537\n54210 87806\n111 69550\n29597 65424\n47150 55405\n80547 93688\n7072 7074\n12361 64401\n4868 10737\n10855 32323\n29533 82622\n50139 62239\n5588 7414\n65892 81292\n81416 87870\n66012 88586\n74979 90719\n53833 68882\n25214 78978\n30546 87151\n41790 72981\n14220 89773\n8857 56423\n32029 87462\n7846 37627\n51755 83248\n9373 75622\n22642 67524\n44704 95441\n11942 39942\n15533 74664\n57804 74974\n39923 40959\n64302 87773\n48260 96341\n45264 61956\n38918 96603\n37120 99325\n74605 84686\n56600 60271\n37889 82753\n43577 61240\n53496 76762\n83195 87051\n70213 73012\n31532 52499\n34413 36821\n12023 22567\n69254 89383\n26842 79592\n13414 64772\n40465 78634\n11995 12399\n26148 30822\n14739 53651\n76479 99541\n46927 69112\n52935 92402\n24822 32751\n11038 27320\n8929 34590\n24457 52444\n15767 74923\n53359 89487\n15716 71554\n4316 57272\n3928 28137\n41782 59010\n12303 67109\n2182 54890\n42152 56923\n11334 32495\n3939 82302\n50899 77849\n5337 66486\n18692 20367\n40632 92186\n32628 85332\n5053 68914\n27797 89792\n14855 42477\n568 56043\n62699 63165\n13076 75825\n37090 48026\n20599 98383\n24668 29212\n1350 33964\n66911 89538\n76234 89545\n47931 65236\n55802 76166\n12351 47129\n14366 19333\n76760 93932\n13964 75065\n8575 54127\n63048 89704\n1965 95833\n36315 38386\n64163 95682\n38820 62923\n37163 43435\n18566 94182\n65605 97685\n43311 54850\n33571 80196\n407 36192\n33613 74084\n73969 88892\n51294 64188\n12352 71515\n7228 85204\n16161 25355\n19660 92601\n13321 97846\n78194 91917\n39244 84268\n4276 43911\n6926 34873\n15077 84658\n12182 80727\n34185 38241\n27387 34980\n46595 86291\n2767 90500\n5580 22536\n25707 50546\n32520 69839\n5082 75799\n1013 39816\n15229 77028\n88711 95227\n59952 60076\n11901 23038\n31916 78164\n29643 64622\n23414 84730\n44739 49118\n69327 71547\n6949 60397\n9437 79131\n37704 91633\n12806 23849\n62938 87516\n27551 68498\n15041 64675\n11303 88219\n2630 33478\n25454 95512\n10560 51263\n38435 97805\n18947 30628\n14693 82658\n55388 94967\n36810 93620\n4861 25650\n9940 71786\n14404 86259\n51036 87837\n41521 97808\n68270 98515\n61117 98517\n20811 71583\n49285 53691\n35041 95495\n19896 59487\n29826 86499\n17581 74289\n42855 73504\n57457 81420\n77780 77969\n22126 86269\n51796 83714\n8920 46625\n60761 67704\n28019 30602\n42986 45605\n49227 75766\n24887 97013\n10123 95230\n58829 63560\n17876 22716\n71212 95227\n42566 62995\n5082 85725\n28665 49619\n29462 98573\n43380 98307\n7512 37411\n37085 56225\n91907 96048\n78706 95784\n48706 75113\n45800 77770\n32804 93599\n31098 38568\n2512 15100\n26120 87710\n6409 61350\n21132 22308\n70149 82843\n71514 91183\n47111 75125\n24632 97670\n129 16139\n51120 81794\n44424 64971\n22399 48027\n45626 61657\n12525 85630\n954 23798\n79952 88063\n27018 53613\n66190 71725\n32944 37306\n23808 51379\n11669 48981\n91360 96468\n10277 81391\n55686 88558\n15521 16858\n17483 52146\n24137 50121\n40148 55902\n30750 33344\n45356 76781\n53688 91490\n3467 81440\n9027 45593\n46479 63839\n15709 51271\n1139 83047\n60456 85984\n11634 35829\n4357 19308\n24124 36731\n69096 69392\n31317 85877\n8719 65353\n77671 88890\n59937 92378\n50697 90347\n48254 81808\n95864 99689\n70857 71602\n4529 67709\n29326 80847\n29744 77288\n26109 35056\n262 88399\n61222 88460\n12706 98056\n32929 77161\n7244 52674\n37854 65531\n45535 96448\n47602 66273\n11529 46634\n33415 38529\n17349 54191\n29890 52338\n63411 98899\n84350 99258\n15033 61721\n2607 78243\n23812 76087\n10733 55235\n23833 73812\n38951 40904\n38565 91419\n81654 94488\n40541 41251\n56990 72310\n55495 69535\n12922 69400\n27859 90284\n10074 68734\n6862 96328\n1718 40642\n19477 81385\n75982 82790\n5775 69506\n65701 79379\n68438 88998\n18156 87051\n52652 77239\n32894 61851\n52254 52923\n21880 26010\n21205 81453\n40555 77302\n5238 5518\n56423 56860\n51385 60880\n11831 43628\n73786 74217\n50854 94294\n32210 32507\n17805 98163\n13424 99329\n20013 93301\n12610 19006\n37720 72554\n34512 52054\n54596 88989\n86106 95797\n19535 81516\n34662 95408\n55766 63630\n91575 96685\n53168 89264\n35412 64397\n55451 56842\n4270 79918\n15477 57070\n53276 66743\n34181 71143\n68556 90378\n5001 40938\n86994 93383\n4772 22759\n13292 19269\n25726 32384\n54451 78438\n14334 42790\n875 29706\n7712 49685\n40524 60907\n12972 29495\n78139 89010\n30615 34176\n49044 62671\n22558 83557\n20928 21327\n18223 63277\n7186 12465\n19031 46944\n7730 57240\n25000 71355\n10386 30772\n11491 70260\n49248 80055\n80243 98477\n2791 33909\n465 50987\n34055 59035\n3447 58523\n3843 62273\n5309 33467\n53257 99252\n44827 60058\n59482 79390\n58357 59489\n28582 41925\n80466 88934\n59938 77998\n40891 53228\n19581 44446\n4449 24440\n1777 77613\n4204 79651\n74557 96639\n65466 72882\n7936 38566\n42376 71270\n17753 94692\n29818 31917\n74024 80452\n3086 74141\n68273 94966\n15354 40647\n23135 98932\n26062 46879\n18896 73465\n45495 59653\n602 24103\n6661 92945\n5816 56560\n69583 74246\n14836 27949\n26647 70272\n77655 89957\n68883 85569\n14862 95630\n5628 84248\n42344 57513\n24409 62106\n14828 54016\n5017 38809\n49767 62905\n61021 96529\n23816 54899\n7782 72608\n3879 57110\n36649 57978\n80443 87800\n19955 97316\n52437 59051\n1696 92423\n66204 83490\n671 24923\n12433 32094\n23473 27158\n51491 74462\n6389 79295\n49889 53489\n4757 78415\n29252 41333\n41293 52859\n41787 55414\n54139 91626\n23040 32271\n68291 97713\n47383 82773\n13402 65155\n7458 47543\n25263 90432\n27637 37325\n33831 56425\n35797 82259\n1397 65769\n11291 47262\n9654 97428\n44131 93506\n64690 99245\n31637 70441\n74562 82067\n31243 84246\n48539 67848\n334 30539\n8309 94782\n32492 61142\n25239 83044\n26303 33695\n28317 62784\n98963 99906\n46104 88523\n4842 44427\n17858 88705\n83784 90139\n44560 76753\n7492 20143\n9665 65655\n9713 51148\n56072 81998\n25137 44930\n26136 89218\n14567 58332\n23715 56674\n7730 69348\n7297 50689\n5589 61468\n89365 89442\n69820 72371\n32753 83099\n39386 75479\n29075 48583\n32603 45399\n1757 83250\n48730 66323\n47247 73261\n28687 48209\n64053 78675\n18108 99641\n2255 67503\n25140 68652\n18960 37870\n7498 85417\n23713 93612\n357 70542\n80782 94514\n33607 85736\n47515 59181\n55847 65071\n3801 28145\n27770 98071\n22373 52699\n13967 97160\n629 90466\n5211 98666\n50579 80740\n64273 80609\n47992 55302\n56829 81966\n37087 66093\n1085 30818\n67988 95981\n48153 59552\n16113 73601\n88157 95638\n9236 34673\n62880 90457\n61367 78416\n11421 73206\n7701 29279\n63442 82286\n8011 41445\n26555 95565\n15610 67424\n20093 98302\n33867 72446\n27385 94689\n30100 62440\n65555 81417\n34918 35257\n93513 94134\n11719 41950\n5481 28587\n25088 52726\n9348 81948\n64055 91728\n45500 77632\n30943 95025\n19687 22571\n11212 87206\n83906 85095\n61815 97495\n24617 59879\n32887 35755\n74049 92150\n355 90895\n33390 98978\n17959 93886\n46442 86743\n21287 80544\n24553 35461\n13296 37174\n10146 67625\n10116 46580\n25551 39212\n40659 78233\n97 84383\n6275 44350\n55736 56678\n58283 72275\n17533 35792\n66115 96231\n62038 82074\n68406 71180\n63914 81547\n30310 82467\n12392 43906\n828 86202\n11924 16350\n39389 51455\n61482 65553\n79407 91352\n29896 95052\n37541 57726\n23063 87166\n51033 82304\n71116 72715\n33014 63432\n90915 93486\n13535 96405\n71700 86544\n50251 56813\n9444 25387\n37888 87490\n64325 93080\n17392 50339\n6967 10089\n67245 94987\n33092 47270\n8927 16385\n71110 79182\n19389 83957\n2850 24938\n26265 71588\n10016 75604\n66170 69405\n37866 89454\n46877 92877\n8531 30967\n80687 94496\n70449 82706\n42732 57392\n28730 63246\n12554 56052\n3931 5160\n11732 60910\n33310 48974\n49849 89872\n22626 73315\n8445 86288\n54531 67338\n10439 94274\n24011 62975\n72802 73887\n26818 35288\n37935 68373\n7794 73887\n7419 28391\n61091 98753\n67334 79400\n558 38314\n26124 57242\n13651 55985\n30418 64752\n38938 41241\n22288 80236\n52088 59000\n84346 90669\n16790 48737\n45267 97375\n32503 90245\n7395 54023\n47937 89824\n12187 32909\n30179 65704\n4894 96769\n19530 40107\n11339 69693\n11159 13285\n11781 70858\n14025 55564\n63033 77962\n15875 61959\n6194 29289\n51658 89310\n68137 70224\n50063 58775\n59968 89739\n67419 67652\n15803 69323\n9800 92629\n43042 79065\n60159 71855\n72648 90936\n10482 65596\n41683 70139\n81534 96622\n50172 64649\n2605 8431\n20964 45034\n62781 83515\n47866 56105\n54761 65446\n46981 62363\n5230 24005\n45827 64046\n88504 99709\n34033 50758\n3311 27737\n52760 67945\n51586 59783\n42507 46895\n40652 64067\n85488 88104\n26695 38728\n34919 80055\n20723 51062\n7953 58703\n10444 69487\n57964 96403\n2780 28567\n13805 16153\n26377 90859\n19485 69021\n11908 88000\n36686 60104\n28831 71041\n46844 84059\n3420 14820\n8882 89180\n39407 99138\n19196 89199\n31631 94978\n14109 31649\n21684 47806\n40733 50190\n55162 56487\n31624 81223\n54586 88371\n47964 74502\n68927 75922\n30520 72479\n39933 55707\n26080 55065\n13028 16625\n30242 56351\n4290 7041\n31414 58652\n13937 65300\n60410 88722\n36379 83378\n41322 92664\n11139 12702\n35784 68023\n17188 49931\n45411 81878\n13822 92730\n91020 94460\n73620 78584\n2032 10474\n77249 98938\n38097 81927\n26522 40807\n66299 83990\n52495 76554\n53230 56678\n5784 46011\n7893 26414\n27064 65465\n24115 88559\n35110 53045\n23961 46222\n104 37351\n802 9217\n65120 68972\n2772 86830\n17190 86855\n21985 81168\n15345 38692\n54698 63566\n34020 87129\n67276 67755\n53495 93484\n12422 25720\n71132 96558\n26370 29390\n39825 77563\n68897 91711\n27178 54170\n68815 82406\n49016 68829\n26920 70768\n36807 89128\n26086 93300\n30798 73071\n50082 91059\n4377 52188\n48295 85197\n45704 65244\n119 20882\n31416 95979\n4247 53509\n30512 83226\n20340 61207\n25176 37932\n28389 72313\n40606 41722\n63431 96720\n20150 68212\n30082 75111\n15958 96123\n34028 79889\n45023 97081\n28014 92492\n27820 89425\n14654 88792\n62867 97747\n2935 82021\n24682 42601\n31265 76520\n8704 13962\n25645 82526\n19375 88402\n24092 94204\n33087 62821\n448 12678\n63098 76521\n4934 32667\n10479 22180\n15506 23317\n44343 80230\n12006 33803\n85253 85418\n35377 70465\n39 68722\n48209 90335\n55557 83742\n8749 26768\n16288 70287\n8315 66410\n361 53821\n4823 73937\n36930 92929\n63609 70587\n61062 64778\n36876 47197\n82403 82499\n66646 96163\n2736 93539\n29830 61840\n68756 71530\n15156 88191\n55149 88650\n5345 34479\n17657 28739\n234 93564\n776 3722\n11603 74022\n58248 82851\n2017 64910\n42304 68526\n9528 56914\n19163 40567\n42808 91471\n30847 49099\n31006 82640\n8048 77391\n24267 38586\n29734 58162\n21379 63757\n28308 80661\n17006 68659\n2095 19800\n1593 29851\n15269 95485\n1758 27841\n1904 90082\n37186 74171\n8837 37960\n1059 60878\n45142 61860\n38734 77435\n78831 87328\n14289 45926\n73960 81890\n87942 93813\n46762 55981\n17122 35627\n485 46153\n19114 84280\n2329 85428\n36879 47064\n17628 55439\n12653 79511\n42087 49057\n95294 98257\n6959 93084\n6356 93886\n49884 58381\n5859 52459\n23894 71857\n33859 72404\n6486 74023\n64392 83439\n31017 53908\n11292 68417\n34140 47178\n80257 84523\n20868 36188\n39650 84524\n84703 99435\n12867 35460\n31117 94410\n15110 22861\n36341 89178\n52745 61847\n12899 86686\n69007 82697\n1947 43810\n19871 73786\n8712 85305\n7116 96909\n59482 71950\n75970 78501\n1728 32738\n14681 85165\n35503 46202\n15225 33906\n6122 41040\n14389 20665\n80331 80621\n15845 55485\n62367 81968\n62017 96928\n25807 27130\n33663 73793\n9922 15278\n16560 17003\n9087 18271\n36557 63276\n30059 43226\n57725 82884\n17744 20678\n10932 39327\n42225 65449\n56119 71460\n88752 89832\n89328 91866\n41600 65433\n83515 98285\n24894 36739\n44434 66400\n82918 85600\n17379 79036\n43221 91737\n4909 13276\n3837 11350\n39933 65944\n37995 97035\n48434 65405\n10345 10631\n49718 66700\n37090 83467\n9465 31634\n83341 96840\n7960 59743\n30664 34650\n44306 69671\n6993 13475\n3629 90632\n20220 58555\n55834 85670\n14530 77876\n8683 46979\n53298 66117\n19053 51474\n31726 32989\n48904 99515\n159 74522\n53686 65642\n2261 76364\n82676 84652\n53300 65688\n32367 62419\n54650 60323\n54848 58139\n30476 54400\n40741 87313\n56799 68488\n71174 81726\n42569 56813\n33589 64269\n12232 50784\n26203 68616\n16666 83802\n33598 42598\n97071 99862\n5021 83820\n28916 43229\n20054 33484\n70834 91114\n65232 99627\n74593 80518\n21424 73369\n5945 53601\n30127 30542\n30617 90476\n6407 58014\n52332 70626\n64020 68583\n27500 69236\n28335 88532\n53096 90268\n27561 90033\n14249 79193\n4770 10481\n768 4352\n94523 95451\n2039 17498\n9075 99060\n69238 70363\n77774 82116\n83151 93667\n23910 84027\n15470 16277\n20331 50951\n5088 90769\n7047 74678\n1728 1804\n53461 84209\n19795 91723\n34311 81695\n486 82004\n29564 87810\n37794 75501\n23719 32787\n38515 93956\n25848 57310\n54064 61875\n95129 96877\n30449 80861\n7943 73436\n33138 68189\n44263 56491\n5788 36385\n16923 40690\n7985 54347\n59666 94775\n25555 40050\n9896 80468\n6529 43123\n17040 85046\n27311 54277\n59769 69495\n44794 89161\n13046 70860\n86247 88141\n206 44627\n4267 78110\n76484 84866\n28670 81429\n43088 82313\n42147 98768\n52694 85392\n29162 93115\n11772 62366\n46790 75633\n55999 95356\n4412 99482\n91474 94257\n3110 81074\n3728 76560\n11711 26331\n2420 38085\n9007 36004\n27130 83085\n45135 96852\n22077 62832\n18891 33138\n18483 87265\n10515 17877\n15506 87013\n73129 83355\n27765 99606\n25607 68501\n91306 92059\n11903 36071\n10388 93017\n20831 38011\n29450 37246\n52444 65599\n18801 64999\n23645 50499\n13946 93954\n28037 45614\n4539 35889\n7900 87895\n18877 41513\n31898 50006\n28113 31044\n38875 83765\n43482 53968\n58681 94492\n38096 75664\n67308 93786\n3368 54294\n36130 37626\n7800 39957\n33392 97571\n54293 73264\n30507 77677\n23264 83774\n6586 73448\n4304 4355\n41259 85534\n50758 74873\n52559 67054\n77044 85715\n14196 83413\n42714 91488\n25293 27761\n7661 11437\n64826 83780\n80197 87071\n28943 87757\n45672 60763\n15010 27029\n58163 95160\n7637 32536\n3769 38705\n61508 86438\n4118 48157\n28810 62508\n42682 73298\n4858 52730\n11298 83588\n21456 99414\n51184 88719\n31666 63435\n4154 72634\n45342 76773\n16801 71714\n37370 98990\n27030 74608\n8888 65850\n30218 61114\n24097 25709\n65425 89264\n58720 87213\n30330 59837\n1704 62857\n51466 96482\n8146 68679\n5484 59420\n8688 96076\n40755 61141\n38135 44239\n26593 68275\n9439 67945\n6847 38197\n80466 89795\n27256 87238\n11329 72318\n55743 82201\n18738 48215\n31513 73752\n24172 46772\n22983 86781\n4303 48688\n21683 88509\n81608 91104\n54232 63119\n13185 25917\n52845 97121\n68835 91140\n33198 93678\n50532 92997\n16943 79401\n14756 42842\n15060 75809\n620 6208\n21082 67321\n74344 82939\n19127 99732\n53355 70618\n36104 90301\n29446 67684\n80369 97569\n29709 39133\n21967 79513\n60927 78415\n4643 40705\n77137 82926\n18981 56406\n43815 93274\n10637 98748\n59142 83510\n14692 33669\n9465 62968\n19465 57426\n15298 55984\n12799 23871\n34136 87839\n13296 95249\n10846 68256\n97011 99917\n55098 55871\n16294 54981\n23736 74747\n17318 55059\n15376 97805\n32961 36105\n76218 95019\n23862 44210\n26049 55646\n16873 41291\n7650 88937\n34008 74435\n60756 67372\n11260 18319\n13663 26754\n33108 71341\n28895 75008\n83126 90495\n15306 65515\n57283 70822\n78248 86054\n745 4350\n39635 47267\n11479 88284\n3960 11790\n80003 98372\n40995 90089\n39243 88772\n11629 34980\n18623 55417\n32247 77093\n18673 19921\n33047 34450\n53298 92185\n54453 67459\n15458 21874\n47757 82935\n26384 33036\n13789 84881\n64734 92517\n64509 80867\n11516 66041\n7268 88273\n4236 95608\n61100 93309\n23355 43378\n90032 98740\n49613 72513\n5763 78448\n34632 55760\n8357 25229\n4802 5487\n17879 44687\n1147 20786\n3623 96657\n71267 76898\n42526 44693\n51903 53260\n15941 20253\n44307 92016\n31426 86499\n12442 36909\n78863 81678\n84863 92642\n41430 45473\n17020 44686\n9693 27010\n3671 19264\n61748 79178\n53992 54639\n59519 72376\n4901 47281\n49192 63504\n63775 66424\n81167 84781\n43929 81802\n72000 98094\n28911 72167\n31400 73031\n48543 75796\n58717 79407\n31749 95560\n34332 64636\n57993 78493\n58782 65449\n53903 82780\n7585 65158\n85107 94259\n2096 45542\n62493 88082\n55552 60740\n1362 27590\n16966 49373\n18607 20977\n18452 90352\n51239 64456\n30384 75901\n24622 60428\n75509 95905\n5120 5295\n14018 80971\n89221 96641\n1052 90187\n1579 93826\n35946 72618\n36273 91942\n5153 42395\n29691 91573\n59989 73993\n52969 64406\n6544 47920\n9091 71049\n57488 80300\n85325 85589\n50884 87597\n7077 65573\n21426 39245\n2144 83315\n13718 37642\n21204 88308\n62053 68731\n46502 74781\n51985 61167\n44562 57876\n9635 21552\n40813 91119\n11972 87019\n57565 72028\n45623 99491\n11184 54136\n8634 82332\n41821 61320\n85478 89467\n84232 90735\n92430 99015\n5637 19848\n21000 50463\n82147 88278\n12369 40215\n76515 93052\n17078 63750\n4879 84383\n9190 88720\n7772 38329\n30540 94178\n42032 90116\n60914 95927\n51233 97153\n58078 94779\n51598 73951\n37414 62294\n61754 94854\n27834 52184\n51625 84388\n33793 92400\n4017 37021\n17524 41819\n958 84026\n20596 30503\n69773 97794\n58715 84448\n9473 17223\n67638 89004\n66123 95580\n4080 53226\n19464 36791\n3613 70222\n4309 69760\n47042 88323\n51534 88654\n3168 57151\n3156 29953\n10501 48270\n21948 43540\n13536 69939\n11818 45324\n30636 57049\n32925 88406\n29029 54537\n60579 80103\n10611 86568\n560 39107\n33279 76530\n21888 64573\n15973 62906\n60027 78541\n53355 61521\n38355 70098\n5762 7139\n7747 19660\n23265 40430\n6991 85097\n25023 39433\n28005 87641\n59324 73289\n33663 62182\n28077 62447\n77258 94741\n67473 94096\n34931 65884\n69748 99504\n43920 98786\n52088 77609\n29492 39764\n3464 53551\n36776 57655\n4950 63537\n57874 90191\n17313 63897\n42863 69193\n62140 82238\n49488 52201\n14548 30018\n61377 86693\n53120 79868\n50276 50498\n18251 19453\n3451 74882\n15387 66379\n7061 55557\n1223 77046\n29259 92729\n15799 86461\n29341 62434\n57238 82327\n8117 17686\n63334 95065\n37975 93273\n9988 51357\n17984 96130\n37364 90237\n18555 40169\n55395 84523\n21721 26622\n24349 81439\n7078 50568\n40018 72299\n2153 6871\n67020 86299\n5808 35464\n26826 31049\n20928 38973\n18007 26119\n64525 95291\n79759 92851\n55539 73984\n38023 47346\n14378 60488\n44892 72982\n89871 96221\n79634 86970\n11284 91562\n42550 58255\n24906 89984\n37562 65579\n20852 88216\n41690 66769\n39238 44280\n53038 80918\n7287 60241\n66837 75548\n54960 57817\n23063 48630\n36265 57253\n24748 48432\n28143 75802\n407 11563\n71499 87471\n31241 89384\n54012 85992\n27455 48154\n3224 65645\n2880 15301\n14371 64354\n58971 71935\n13161 69344\n30458 97873\n51987 64465\n42538 86311\n19988 79321\n67069 73001\n94689 99809\n22196 30869\n65632 99836\n67695 91893\n22280 38770\n61168 72949\n13866 56080\n7729 57472\n43415 99630\n37343 49067\n20776 48391\n2324 95341\n61250 69234\n3911 21522\n33435 77872\n21885 92740\n71544 98793\n21383 97564\n33197 90629\n67753 90264\n9351 42075\n70213 90451\n35831 84744\n8743 36293\n21766 77570\n12814 76436\n43370 99019\n24810 58767\n7396 99489\n38146 92051\n15115 16291\n62406 63925\n40559 43189\n27700 33405\n42994 86581\n51101 86281\n52898 61571\n3449 10589\n43815 96655\n14387 49903\n27747 62259\n26862 30472\n11095 24988\n74464 82477\n83758 92373\n6490 74813\n6142 18492\n42127 91506\n16623 72902\n33600 63606\n9354 71975\n2454 51184\n42966 48222\n14549 68544\n57661 62732\n49560 66961\n6585 15703\n16483 98726\n21226 58175\n170 71508\n10855 93756\n62092 69343\n38409 87384\n4241 84218\n65239 90349\n11181 56821\n9517 33929\n20758 29545\n38605 91247\n26246 96302\n31894 69028\n69630 91134\n6237 58183\n19419 70797\n2738 63927\n5070 93231\n3893 5228\n21229 72641\n95935 98932\n21567 99415\n1119 8082\n26134 38514\n22247 63783\n19639 28329\n76146 83735\n52586 80515\n62165 83236\n31151 44375\n12104 39056\n7002 57512\n66066 97315\n44590 92997\n48617 53458\n6359 85639\n2955 12065\n26906 84604\n79436 91264\n37549 89036\n20589 77440\n22636 92534\n46706 97379\n5178 48677\n87691 92093\n78 81869\n15309 63440\n4600 45223\n16176 97989\n67975 99837\n23155 99589\n12342 42559\n8013 42439\n1061 87952\n5505 95410\n90514 97141\n42152 77773\n70749 91490\n18136 38181\n7835 81823\n24876 54247\n10976 91000\n62118 90733\n42866 88018\n15444 67460\n2932 26585\n46988 89224\n26526 70218\n237 15994\n17508 23806\n64926 69090\n9152 51839\n12050 33456\n59310 66304\n14687 73106\n57618 58843\n1544 83730\n2130 51791\n23947 38559\n74027 86343\n10142 61265\n10194 46607\n18123 42799\n3628 40818\n20938 88209\n55480 75412\n62181 80907\n43057 73096\n22190 76058\n36124 97975\n84601 98609\n56024 67273\n53083 80091\n23919 67595\n55331 96344\n7280 99921\n12119 79420\n53457 82742\n31180 86278\n28363 99708\n44899 47007\n38858 84504\n83895 93547\n7277 63768\n71747 97393\n16528 69629\n18301 21988\n17159 53697\n2571 23310\n8004 89524\n13008 40321\n37924 89634\n29619 42018\n36552 66786\n12096 82972\n24077 67979\n36296 61431\n14086 62197\n68386 88572\n43854 68883\n39113 64994\n20799 80154\n74140 99956\n31536 91099\n2668 56273\n12867 30067\n24863 84666\n59291 80073\n973 47907\n18985 49073\n33002 44583\n50817 73859\n14422 67844\n40726 91819\n37824 73717\n38620 79225\n48331 81422\n58696 77383\n3416 10607\n73307 84629\n21935 79752\n17874 95393\n32608 97150\n6951 74757\n2890 95309\n6592 99566\n39674 44641\n12873 69006\n29411 39741\n12509 80214\n9170 62464\n6243 27889\n40962 71711\n66502 68483\n22743 32076\n81916 98776\n4941 54035\n46509 83452\n10286 74809\n14038 89059\n51067 75456\n21843 31360\n37279 58516\n60663 84792\n69336 69683\n15224 35256\n36790 53931\n9035 31386\n31871 46927\n78603 98849\n55254 75728\n32496 91550\n3641 99238\n43939 53192\n10082 26903\n9850 53297\n62568 89009\n8801 69355\n16831 34689\n2491 77617\n20636 74908\n18573 81008\n2885 49352\n46708 55966\n16027 34228\n40245 92107\n74659 75861\n5318 55103\n77352 87776\n45042 80019\n49578 73790\n48061 87033\n25333 80831\n41361 94048\n19594 99359\n44738 92888\n3370 4675\n9146 75531\n22988 70554\n1899 37329\n8424 97567\n24088 50073\n9880 26303\n7107 97612\n29557 98582\n2644 79287\n43337 78109\n1711 58527\n25759 89249\n1516 3987\n20956 82304\n38908 62874\n30021 77247\n1578 7106\n53578 99346\n17349 78149\n2299 68666\n22716 83579\n30526 91515\n77863 95878\n47016 77472\n28439 51015\n674 88725\n28 65552\n29466 44166\n54730 90450\n32909 95221\n48592 68470\n45969 81906\n54796 69745\n16065 63775\n24739 28856\n15832 43076\n5359 15470\n5713 54162\n17564 39003\n88596 91757\n6847 30678\n21197 58148\n52332 95077\n32077 71563\n4287 99519\n10679 64371\n81965 96252\n41539 48172\n29913 53076\n34913 52420\n30803 58397\n9718 47741\n36687 84552\n15750 55123\n43107 71295\n37573 85208\n89408 98572\n6831 64979\n57008 57733\n295 84889\n30802 40553\n57387 95640\n53656 98928\n22202 47147\n30573 64756\n40149 80501\n51178 61890\n9965 48631\n36559 52301\n15290 84548\n20526 92838\n72435 75686\n14064 98581\n1662 92833\n4223 38574\n75706 84337\n7788 88615\n29432 40276\n16789 97497\n11222 97939\n60155 95559\n68175 82974\n693 15949\n6489 55375\n81486 93929\n76474 96113\n10933 62693\n5196 32444\n33504 45396\n5636 94767\n46522 67198\n47696 77338\n22119 62122\n14660 57925\n57956 79935\n1143 82353\n69430 83818\n11201 16142\n9666 46583\n15319 21725\n30099 70731\n15454 79124\n21584 76456\n20300 49465\n89832 97738\n17920 55645\n22903 86041\n16751 80353\n3326 40964\n29144 80037\n46884 83129\n15995 60127\n53473 78656\n6532 38145\n49772 98455\n6858 98823\n17810 44111\n43075 84823\n47660 68887\n59467 62447\n16753 62843\n83802 99149\n31508 72108\n63285 75210\n11741 14766\n4568 58342\n53911 56060\n10136 19872\n17896 88026\n20055 47457\n83979 94878\n12558 99732\n6750 11332\n31136 60259\n50625 71078\n5425 38094\n54644 78474\n18286 27517\n1067 14717\n6870 30635\n74512 97128\n40536 98498\n824 78713\n26359 93839\n57652 95414\n14884 85931\n42431 92485\n77901 94065\n51113 70316\n684 98721\n77060 77983\n16344 50010\n2039 19609\n36281 96247\n15224 59655\n14045 60831\n76952 82820\n1219 83458\n16051 30263\n60606 98584\n63507 82840\n91559 94986\n20076 89655\n8888 70749\n21000 30848\n13192 71449\n7256 23406\n13538 82088\n40424 73726\n43632 78597\n20843 47614\n24777 82835\n32171 56325\n82773 92953\n6463 63191\n46928 81697\n46664 98582\n6075 94381\n66348 87606\n20085 86121\n78011 84251\n17515 88424\n10985 38055\n58180 71744\n14194 16934\n13423 72033\n11202 65743\n11226 57188\n33239 68505\n5086 17928\n79431 92602\n11267 75716\n14978 17184\n17982 60921\n36043 61524\n7024 50081\n12940 68519\n67303 90688\n26172 71730\n71026 83179\n45513 76603\n3370 43915\n12931 35060\n21139 70392\n57770 82269\n48055 60812\n57475 60010\n47256 80866\n76398 95480\n7508 45689\n24910 26232\n11667 92080\n8621 88445\n4468 86264\n60806 67379\n44704 64568\n29115 96230\n8822 52033\n76667 83310\n17845 40715\n31814 92587\n23956 33555\n8236 89057\n37549 62685\n61744 83341\n54134 79076\n23045 97242\n89773 92265\n9130 25074\n22433 26221\n52353 87310\n26786 58247\n26042 71511\n27195 38999\n50685 52337\n82282 94977\n52903 78688\n92740 99746\n17627 18905\n14702 15169\n10825 50419\n34073 60520\n14021 16790\n88652 91367\n35399 88568\n65163 77803\n63366 84730\n6213 14023\n1574 79717\n40109 83759\n25916 94172\n57037 87432\n4053 53400\n72304 95990\n45903 67918\n66146 88241\n37390 88455\n24338 88997\n33203 73028\n15329 72198\n66003 96078\n5993 22816\n7615 58576\n42089 95325\n35049 82003\n14188 71510\n77525 87250\n24896 45207\n15282 77666\n18672 77461\n34898 78225\n95468 98992\n16387 42950\n28215 51671\n55217 61820\n51575 63762\n31997 45685\n77410 80261\n10560 77844\n53467 80859\n53184 90569\n83463 93074\n23527 29998\n57052 72726\n66450 84461\n9200 38165\n30845 54132\n63219 63538\n17194 63160\n87753 87823\n42408 49676\n846 33559\n28498 50722\n36098 53733\n46625 91697\n9889 57633\n16877 39331\n56393 93215\n47518 77849\n4012 98769\n33495 39298\n4633 7721\n63520 88994\n34741 47662\n10479 49448\n36491 61729\n86517 88554\n30074 58303\n56464 88366\n24443 57105\n3474 53812\n27087 30007\n32421 61120\n28894 47634\n42702 79800\n20132 94935\n47858 73526\n27822 36459\n53875 71946\n20096 63802\n23603 98403\n62533 94427\n5922 95817\n58664 78268\n25751 79017\n50744 54003\n58669 59326\n12877 96857\n34837 72742\n28948 81992\n33211 89421\n35978 69969\n88523 90099\n38135 87400\n12107 41360\n17826 90435\n46999 83555\n40370 46586\n3645 15873\n58338 69151\n21103 52485\n23034 27650\n13836 94326\n72906 98509\n47984 67062\n33077 96893\n18518 78745\n27641 97317\n78265 88960\n79796 84416\n38469 53607\n4481 28701\n12140 59568\n66867 75319\n84692 93570\n26015 94522\n1350 61559\n18816 32678\n12846 40660\n14538 53941\n23774 45228\n394 91717\n62993 87803\n5500 24900\n48722 90644\n6029 45956\n40697 71748\n7565 68684\n57248 95349\n10914 27642\n61699 77895\n55058 99466\n53747 98981\n59416 86967\n37768 38726\n24282 82304\n58363 95929\n31746 41628\n61882 80370\n8396 48448\n40734 65837\n20962 30870\n51207 57493\n21089 36534\n26169 75535\n44500 96910\n53339 62821\n45419 77421\n15104 63516\n35204 61102\n31817 69423\n10206 62390\n17857 31391\n47516 67006\n63798 99142\n40381 84599\n23333 89870\n55949 83018\n37197 39391\n12433 25379\n66614 91673\n74726 94731\n57022 77985\n6695 67103\n86107 86595\n79607 99472\n14755 28772\n2305 87667\n39929 48589\n10538 44549\n2002 49682\n16650 56461\n24690 54434\n61420 62884\n19078 75786\n20083 48732\n66452 70289\n17456 99384\n88610 94856\n7612 87104\n22334 78086\n13834 88708\n32468 60567\n4229 88922\n11694 68062\n19228 98393\n31320 97230\n1877 68890\n35186 76262\n6480 24825\n37325 90871\n54747 65591\n72364 87640\n12305 16736\n4961 73130\n30186 83780\n19842 62299\n48449 88458\n13399 32612\n38759 55725\n531 62046\n33851 97053\n56441 86936\n33751 82105\n42237 54246\n71171 84593\n15522 15965\n19224 33038\n11620 85337\n40073 49848\n37076 87024\n40028 98830\n53058 70343\n20599 37133\n37128 90993\n56108 96921\n35376 64087\n57400 59780\n60336 72566\n1474 28719\n67717 75225\n88 55524\n1367 3879\n21382 43518\n7587 39593\n29961 66484\n49511 55069\n35170 87848\n35624 84361\n45073 75275\n47595 91208\n6711 99780\n71402 99808\n20124 62312\n12012 18096\n15209 44517\n20771 69528\n67412 88065\n58380 67075\n27629 55519\n6621 47984\n39289 40806\n17552 22587\n13371 75985\n18918 87416\n33395 74853\n11680 15548\n40254 76776\n37514 41896\n74572 94407\n31925 76602\n39036 90304\n13002 69368\n68574 76451\n41447 64098\n73100 97851\n26530 26575\n15107 65745\n48599 90881\n1787 85782\n71185 83772\n73890 76825\n40119 82499\n7101 37680\n64877 99079\n49844 73315\n21174 38219\n13803 41701\n51242 70782\n52675 79550\n3946 85073\n40029 96973\n49232 76437\n26431 58920\n28003 69641\n15965 54256\n34336 56551\n33988 91036\n6285 82691\n5425 6395\n51578 85999\n44680 61137\n20266 62017\n49041 73314\n58128 70800\n11743 15560\n27533 75492\n18639 92528\n15379 99929\n26496 43142\n38838 90391\n7734 73849\n3523 37616\n15051 55178\n43402 64355\n66135 81421\n29508 56065\n48937 74168\n3450 51317\n49133 56650\n26228 68737\n91487 98785\n47763 62194\n11523 24984\n49546 99326\n65666 69660\n57572 98322\n54449 79006\n65609 94816\n5439 57490\n76688 98994\n46182 85955\n39956 88131\n56550 63774\n32634 88622\n74192 85684\n12532 97472\n26822 91976\n37581 63577\n28485 78588\n51445 54637\n14644 20841\n28799 55202\n21038 76890\n33961 40792\n34849 81333\n38471 80020\n56073 96696\n8044 13204\n1040 57024\n9408 28134\n67993 71033\n61953 87596\n17140 42173\n11622 19950\n19767 86312\n29151 94281\n41082 88030\n58944 94118\n13475 85848\n7472 44832\n25162 28474\n14753 65252\n22067 31820\n50308 72403\n75044 91581\n17380 29897\n17526 39805\n101 57550\n26243 47268\n9168 27327\n66205 98457\n59721 81804\n53421 78549\n5860 53590\n6911 38799\n41990 65967\n40438 67827\n84586 86051\n30050 39185\n66035 72842\n41083 59809\n73444 85861\n40398 79490\n47872 97649\n46124 61535\n51226 58805\n65066 94295\n647 1443\n48019 59330\n41503 43522\n22712 86528\n35966 66490\n47823 48454\n49011 62052\n11663 20842\n18129 66432\n418 79000\n6848 36707\n4102 20642\n5452 38441\n1683 81863\n18761 62570\n4706 8670\n87650 88216\n16994 17331\n38484 76545\n77885 93451\n7557 62673\n22879 74024\n1309 52524\n20801 37759\n60196 69440\n52886 82092\n89945 90805\n38836 66039\n38346 78527\n21802 42872\n15548 56749\n36049 97125\n58160 96530\n5174 18093\n24890 94081\n89769 91915\n30992 38779\n52141 67475\n7517 21057\n33454 40174\n28065 79384\n4228 76876\n34964 92420\n68979 83520\n11247 73891\n32271 33804\n23594 80320\n25080 66921\n22376 84475\n73528 96552\n10406 14158\n24579 50480\n5242 49812\n39208 98270\n22861 53916\n59190 75373\n10518 12300\n77019 82831\n13163 54539\n8280 43976\n78100 82003\n27258 89141\n69100 85001\n35003 57466\n45487 77045\n27985 42186\n4942 44609\n10681 28955\n35016 65448\n75691 77146\n31224 88891\n61995 73561\n9499 19782\n25022 42067\n18486 47600\n14039 17108\n19639 73922\n87826 96905\n10087 23741\n41563 61628\n28367 92343\n2457 20642\n72217 74891\n25335 60703\n17650 65002\n5059 66891\n30131 68833\n14063 15640\n80871 96717\n33207 65468\n22607 37055\n83783 84445\n21171 29074\n68315 79904\n52277 75344\n5599 11599\n16040 44438\n6962 62791\n6309 23824\n13329 87735\n8505 28264\n40778 64014\n17578 63280\n45044 57101\n2854 89282\n39907 97255\n55916 68625\n78812 82082\n53129 56948\n51451 97637\n94746 99920\n14094 27561\n67988 77889\n61887 86742\n9201 53625\n41419 74467\n7773 81604\n74403 74461\n27675 76330\n11988 63647\n54076 62954\n26465 68044\n64165 74183\n40996 59660\n35874 87663\n42165 72065\n37404 70608\n182 94234\n5998 26700\n48700 60957\n9105 65230\n27719 87694\n958 55136\n3404 44999\n63784 69617\n77984 99281\n13889 61826\n44444 75853\n3107 38088\n45611 58989\n8009 65355\n19787 39780\n20198 35692\n22848 51583\n14345 75859\n54991 78963\n34812 60894\n44011 70836\n14519 38285\n68381 97000\n57205 65004\n76525 89867\n18668 69664\n24811 46922\n61477 85044\n50989 63539\n6429 75878\n50209 52251\n20515 54840\n10749 62487\n15123 95570\n52326 96520\n70590 87816\n32542 73699\n38777 54769\n9737 84692\n33779 51916\n17388 37631\n14097 79445\n16993 29324\n13334 55797\n65695 86215\n8748 70188\n28873 85277\n6916 92306\n26979 54267\n20791 45586\n42792 87447\n2991 45189\n32159 36410\n14198 64744\n19785 63095\n52656 77760\n25419 65094\n44342 73189\n4836 9739\n73520 78848\n33293 88490\n10746 45207\n20948 68876\n67858 74598\n52495 74194\n2009 75497\n3229 10513\n41040 79966\n2139 83610\n37957 46103\n36331 60642\n17900 93176\n2474 97713\n24217 64717\n18115 38615\n17771 72995\n285 84459\n68684 99015\n2912 34868\n45699 86990\n80679 81434\n93781 94764\n5509 39650\n55213 76409\n77420 83857\n14688 36575\n25373 71976\n9785 51738\n6671 91865\n58864 80290\n38581 64841\n21662 72269\n54906 58150\n29729 32556\n36104 98407\n64381 69278\n32393 42392\n29549 81502\n85878 91360\n23056 29347\n17227 48043\n50615 77785\n2010 82749\n17247 41343\n23840 71618\n38693 51984\n4724 59101\n3577 29830\n26946 59921\n2289 37692\n7667 88200\n65148 74333\n795 69472\n34599 59745\n55052 74583\n31389 93718\n27796 38045\n1873 85194\n74674 85779\n24549 67281\n36011 41123\n54796 69981\n167 8996\n45856 87998\n15087 73392\n77384 87090\n81021 91311\n26932 46614\n68322 91649\n62572 98686\n70664 75375\n51245 80895\n4603 57143\n68998 77798\n67184 78854\n724 10108\n25175 68414\n12302 44610\n35601 94248\n43061 79632\n1499 15205\n45631 64802\n72573 92399\n57459 67385\n20776 77004\n4480 10738\n43973 95225\n4537 68920\n12789 35767\n49050 83491\n13039 32690\n61590 77080\n8190 95488\n22241 44138\n6095 76639\n55764 98968\n25807 99643\n12944 37942\n48455 71754\n12741 69047\n26983 41553\n6690 85596\n43652 56373\n26603 80139\n85407 86053\n40089 87373\n56616 66891\n21914 59100\n60424 63477\n20265 61392\n889 67607\n58854 99893\n22001 43729\n40126 54277\n57601 91252\n1949 73412\n18310 85145\n36674 86821\n629 97978\n25242 71199\n85141 87137\n89059 93584\n18241 23255\n44281 75677\n31593 85082\n11021 73599\n64289 70734\n71672 85259\n17731 24865\n1335 94107\n28623 83557\n19147 28150\n23472 50030\n45103 99906\n2395 11253\n29327 72607\n15229 91269\n5821 9802\n23468 55951\n27063 35343\n13200 51482\n44850 62489\n45477 55964\n53090 98577\n65669 79349\n24261 30034\n4859 80890\n53420 90466\n72631 88231\n6901 29130\n87326 88553\n18533 79758\n44079 96921\n6446 27845\n1967 44192\n13507 37245\n36077 76652\n13393 47182\n85722 95696\n40854 94092\n10365 35166\n34893 72222\n2591 89245\n49692 74852\n63387 72921\n44569 96677\n6420 48223\n721 71670\n19811 31842\n14930 75648\n828 98443\n57872 93060\n30242 88179\n24703 78466\n42837 97071\n14384 81373\n13674 88301\n24011 83578\n772 61805\n58653 86953\n65566 90846\n905 16094\n33656 55740\n35852 44341\n10449 17779\n53297 91243\n10243 79698\n702 46097\n60020 87523\n68606 87677\n6529 86641\n437 36251\n1355 10641\n76538 86618\n44953 98900\n41416 97358\n50011 93957\n25674 72451\n10454 60173\n73032 84925\n77603 94458\n14449 76658\n63370 89742\n10918 95092\n86281 97756\n12854 25643\n468 20843\n90879 97541\n83118 90076\n38924 53370\n60225 94526\n14397 22436\n52668 92435\n517 81199\n8522 62016\n24956 26838\n34808 87640\n65152 83771\n60602 97366\n55940 78700\n30139 96496\n23067 36991\n41656 75322\n22329 71622\n15740 73539\n40094 67665\n13838 56100\n29756 37029\n36674 38258\n7565 52945\n58304 69800\n50491 66553\n34325 80136\n22358 90124\n225 84529\n31022 42799\n28975 64206\n1937 44850\n8965 65209\n76603 80464\n90738 91061\n40844 77944\n34785 51697\n14638 35798\n32751 97099\n12824 20839\n17436 47926\n43953 46771\n9351 47496\n33782 37499\n65240 77930\n82868 93748\n30144 59238\n18802 89321\n20138 44480\n31504 79446\n66821 73454\n24953 99329\n69151 79581\n10820 86790\n17134 39068\n43917 72702\n57575 83060\n6651 64419\n57659 85906\n5323 19600\n13687 79196\n11865 12268\n26582 50669\n22325 39936\n13187 85844\n44938 52070\n6587 55850\n50359 88609\n7013 26959\n33373 49505\n26293 28300\n27198 93705\n18840 47978\n24554 73206\n35189 42669\n64964 85952\n57987 67109\n25470 78991\n332 12317\n43845 76232\n17970 50179\n13468 36422\n32418 47466\n77734 88493\n42953 85615\n3952 63372\n56920 91878\n22164 23440\n1645 68718\n74928 88222\n74567 80444\n31231 40940\n11729 21593\n7270 51542\n30629 83080\n10761 41201\n38524 98976\n13588 52692\n36206 52513\n56224 63313\n81269 82942\n88496 95854\n21291 73573\n66413 72604\n31133 37864\n4167 93780\n30293 68389\n16590 44730\n32930 62344\n5769 90379\n60108 78711\n96133 97743\n14446 51045\n38106 55869\n61834 75614\n54151 93370\n62440 89254\n2742 70813\n15946 82436\n58925 75998\n55284 96818\n3749 62830\n4773 46485\n21770 75516\n15171 76936\n27727 33482\n36176 90892\n60660 74569\n45830 64133\n14830 90547\n1418 65504\n1724 30789\n58900 91945\n90699 98703\n33347 39491\n57025 95157\n59020 78496\n24802 61602\n13568 75571\n66980 74533\n25915 47047\n48521 60992\n67437 86639\n14587 28072\n55578 62560\n1748 49033\n38063 88459\n26195 89605\n19274 55246\n33888 44868\n5869 24073\n30473 89502\n9820 72631\n12283 99054\n777 23183\n39060 63854\n13292 96170\n7423 46227\n82927 86869\n67545 84060\n4638 38342\n39155 48191\n42837 96786\n38972 53127\n49424 54600\n27189 34589\n4133 31889\n20509 71038\n202 37497\n27100 69600\n9290 15225\n28254 71558\n23680 41672\n57655 80524\n25726 83909\n73119 94923\n794 74451\n32251 90014\n39254 60685\n25597 93428\n20076 73466\n90799 95270\n54974 75478\n51423 84129\n16447 39158\n38966 83319\n9472 55302\n30369 54525\n55127 55724\n23523 95430\n62904 95121\n65468 73280\n72874 90217\n13531 51065\n55428 95504\n78847 82676\n79342 91021\n21172 36041\n17074 93029\n63279 75138\n41918 56942\n28117 39307\n17018 51796\n13646 57937\n53432 86069\n31902 99553\n31263 84725\n23715 38982\n6456 54158\n61649 72789\n2528 94542\n2174 44957\n8457 15897\n79612 89597\n18019 57476\n39486 50983\n5786 22465\n31466 79102\n33848 40096\n10847 23897\n61103 84488\n41570 82274\n78228 96778\n46733 71997\n13821 18486\n9418 39047\n36635 69375\n78479 83063\n6021 41357\n11500 35978\n59551 91902\n47537 69739\n41187 83555\n33813 82516\n13690 58729\n22920 92157\n27076 67159\n7616 41185\n29302 79456\n61347 85907\n19930 30293\n26349 63865\n16659 55052\n5258 65278\n40482 42476\n47103 66548\n36156 91866\n74682 78745\n7668 30024\n52757 72662\n62887 88784\n34442 70425\n59172 61766\n31868 39939\n11233 53592\n71707 86361\n4568 14895\n56497 59480\n63375 67887\n29764 48740\n42570 69615\n21870 94997\n25107 79954\n81548 98592\n54361 76882\n34396 68004\n11580 22195\n14336 76437\n19025 57808\n3392 13540\n63573 73796\n62333 71501\n15912 32587\n3397 5811\n9032 95270\n22962 35066\n22206 92238\n77836 87064\n49065 50771\n50231 61435\n21009 82093\n8934 27038\n52865 94544\n64733 72646\n55450 76659\n18578 90969\n59099 89950\n13614 28614\n56147 67977\n36074 37674\n19471 89385\n13600 93419\n26713 64209\n46135 68000\n55546 78242\n53666 83465\n27145 55356\n18366 60107\n54840 86891\n31215 42901\n39044 82264\n69684 97311\n26020 44370\n5868 48800\n68972 81728\n46087 94787\n56564 87734\n19420 19652\n18200 97128\n34476 79847\n340 33253\n5121 75598\n20778 95255\n6073 71777\n24154 72525\n18569 26464\n5759 16217\n19521 26864\n21854 57066\n23674 56998\n85467 93357\n40590 79691\n91491 96147\n47488 52030\n7569 82397\n11226 88665\n1726 65711\n49101 89347\n4813 11251\n10785 15596\n47390 50395\n1156 82061\n49800 53265\n16107 16148\n72663 85252\n22590 93473\n45601 97482\n45569 76625\n56560 81659\n29703 37217\n30034 81797\n25339 84302\n11374 20387\n25406 63394\n6268 89595\n26845 29067\n58718 82478\n47628 76209\n5800 79032\n33531 84535\n38658 81710\n8508 92785\n48144 59591\n37009 41352\n27852 31198\n1527 11597\n69462 73320\n24834 85953\n21041 39266\n6103 17880\n50392 89278\n4371 44093\n24925 96203\n25036 44182\n54712 84993\n46337 58530\n49183 53356\n20228 93214\n17321 29990\n28260 60473\n66015 85618\n41560 86538\n42090 87245\n19595 28826\n3931 39615\n31972 45383\n20650 38619\n26306 88017\n11880 60132\n8921 39053\n19012 69554\n62708 92943\n4501 73500\n33377 64693\n5344 14329\n40335 57206\n75140 93423\n21623 69860\n78665 88068\n5994 18868\n32241 36304\n59277 82359\n83897 91844\n49675 72084\n48445 57250\n31518 34826\n14236 92682\n4179 96162\n1856 10925\n50984 66451\n40882 45104\n26435 83304\n52265 98122\n65830 81806\n9790 11883\n9705 62916\n28616 93664\n50471 71266\n13791 35927\n62656 81371\n1271 96621\n47121 73356\n12560 38918\n8270 47558\n47469 88781\n52684 93881\n72441 75903\n30117 66417\n14914 90511\n14430 97583\n30536 42751\n41516 58514\n59509 61076\n48984 54691\n54183 78443\n27272 53477\n93123 99879\n81977 88845\n80070 81516\n52658 82888\n45818 48404\n10161 69394\n38622 41837\n79528 83033\n13112 59102\n53388 86891\n11983 62204\n15206 25893\n3532 46737\n7219 37132\n20836 84989\n70437 92135\n38452 92226\n25546 50702\n44866 97063\n82862 95369\n17349 67709\n44739 67556\n43355 45114\n35628 38846\n2808 28829\n19789 95271\n5309 40499\n38264 68264\n65657 89642\n22244 94135\n48451 86201\n388 26785\n11083 35535\n11988 32954\n75 79429\n29572 57400\n43513 60046\n73848 80034\n30857 59708\n2209 29653\n61986 65718\n81737 93355\n34698 94520\n13230 86481\n33092 37840\n9602 64618\n20110 65277\n3510 97914\n13634 49341\n18698 58139\n38682 97316\n29677 45168\n7761 12980\n1090 85556\n34851 85470\n970 12292\n53972 55636\n16210 63496\n40602 94778\n58150 65535\n55077 98891\n2817 32599\n90189 92377\n18738 66351\n41564 61387\n29958 79894\n20067 56674\n43327 51964\n7422 31321\n18146 88208\n1353 66564\n1283 51622\n20433 43361\n9589 38911\n52118 64469\n34282 61627\n23317 38381\n19288 30015\n52821 53054\n27738 96837\n5276 58459\n4204 78905\n19407 47260\n42274 43788\n20659 71353\n26308 27302\n43900 59217\n10065 50971\n7050 16291\n2600 93816\n4998 23909\n88860 95871\n75484 93500\n54237 56314\n38290 58601\n29900 48157\n9405 66816\n55784 59974\n548 67902\n30453 52115\n12199 49401\n14621 36272\n13081 14833\n52873 98861\n14421 97047\n79617 89325\n27296 66043\n536 66887\n12948 16090\n30319 52444\n27534 65695\n36441 38967\n17701 74764\n15875 74619\n36981 66914\n39905 84227\n54025 88834\n18330 27212\n17134 86253\n15211 74939\n17934 28640\n14644 96258\n35183 45429\n56486 84811\n51116 56151\n50593 92228\n45910 69110\n13952 45498\n49780 90813\n8624 41170\n460 67150\n10759 59054\n47260 86799\n32203 90838\n62475 86130\n56851 92536\n3616 94937\n10878 81844\n79857 98539\n29508 33520\n33743 50348\n56849 87368\n7084 57871\n34542 53314\n30957 80036\n41625 71213\n153 10625\n75470 86555\n29617 40986\n9626 51765\n64027 72295\n10155 15788\n25727 29133\n20812 87230\n8260 12546\n43070 55444\n15172 52822\n57573 73008\n37482 84083\n11047 32906\n59759 65802\n6479 67216\n42438 87572\n63800 86151\n29795 57703\n45998 90948\n47732 84189\n49302 99524\n10892 52420\n7820 52314\n88067 97693\n35560 57948\n20776 78671\n52370 78497\n36832 46224\n17009 76481\n4798 48525\n60830 83286\n10145 61436\n62525 68966\n20370 83763\n50436 61748\n56917 61851\n65182 76331\n65857 97821\n48567 58366\n66523 92646\n68157 99475\n2312 56620\n77142 83747\n6429 71467\n9270 48266\n16691 19612\n23368 47329\n9775 15033\n33671 53251\n48448 52309\n49889 83327\n97795 99602\n4996 12923\n14389 94415\n48504 72004\n4545 41612\n10202 95981\n17215 43050\n56061 86069\n65050 74412\n7450 98147\n72145 99265\n12666 49231\n55768 93518\n59245 86060\n13707 14804\n52708 59992\n30445 41096\n94084 96734\n58736 81390\n27607 59582\n45698 80479\n38471 47261\n31679 89863\n39271 85631\n1719 88928\n61404 92746\n8910 86348\n20324 60420\n18659 78920\n51796 99593\n39130 79957\n49972 59619\n61606 67323\n27714 62802\n42855 93254\n25161 97494\n42383 63660\n19031 52935\n26181 28545\n12240 97950\n56467 64675\n22725 50334\n831 20230\n20869 93687\n17891 23328\n61651 96833\n42938 85252\n30751 63292\n36371 99068\n44776 97903\n55008 83989\n45890 88642\n79623 92670\n21111 54277\n343 448\n45655 85356\n55669 80383\n460 4816\n36662 50786\n16743 93276\n38608 43263\n24256 75452\n33036 64868\n42759 79513\n43960 79389\n3661 25934\n24183 56362\n48253 52766\n41881 64369\n10577 57258\n39748 94621\n10851 38204\n4405 58482\n2756 8637\n63101 97935\n4666 50112\n31163 61173\n68493 87337\n53918 56611\n16006 62810\n30776 67075\n4083 30954\n9626 59157\n15891 35997\n31638 87399\n10150 88334\n68466 73499\n15405 82644\n48572 65976\n848 31116\n51743 55410\n76404 94267\n33393 93491\n32410 96531\n44624 78715\n7044 87087\n44337 48576\n52121 57308\n7630 79604\n26069 95309\n4477 46565\n61276 98766\n21160 23686\n32789 60086\n5259 22348\n12602 20629\n13067 73537\n11920 23478\n42729 95321\n44431 59942\n59140 75096\n15932 28161\n33117 57145\n11800 41144\n12172 99286\n11598 74306\n36323 60108\n41631 92423\n66229 94328\n50567 88104\n3353 97961\n3379 38880\n92972 96017\n24896 69437\n52388 96227\n2216 33574\n41899 59082\n9736 61164\n44488 52578\n40914 52127\n54819 78293\n22571 46031\n21274 80325\n9698 49637\n69249 90230\n46533 85634\n11754 75985\n2266 25019\n7857 27182\n62083 93363\n39907 82853\n70098 81768\n37387 79078\n15728 70061\n62258 93720\n9791 64526\n29945 30858\n40252 49000\n9609 41397\n47080 98907\n40605 85164\n29102 31677\n9794 90073\n40762 74227\n45505 73640\n9863 33094\n75540 78611\n10326 64585\n29967 63866\n39234 87854\n20932 68778\n12674 51756\n43958 62463\n4574 32735\n18958 54909\n4303 94638\n15753 79445\n29630 94344\n20804 66023\n24661 55203\n7167 76892\n709 37691\n3330 47984\n63549 88990\n67098 87837\n40089 51020\n18442 95044\n4021 98986\n14424 15177\n11657 21264\n24150 40430\n8469 9560\n8607 36096\n58167 68248\n35377 35418\n51530 75006\n16659 69002\n21071 28249\n58577 62902\n31041 36830\n27680 92436\n23997 68633\n35292 90270\n30071 64323\n17146 93161\n8486 43644\n47521 81824\n35859 99203\n49154 60112\n18067 71943\n14009 46229\n9268 16178\n12447 22980\n12986 31515\n75275 86197\n20533 75683\n59270 78706\n41860 62974\n50396 92432\n55339 99700\n1475 12633\n5418 39669\n49620 74217\n38698 92201\n12602 50328\n78186 89205\n152 16401\n29488 67940\n1543 33865\n39427 68887\n9568 91997\n74378 90257\n31388 99055\n62099 64723\n53311 64356\n61359 69362\n72779 75471\n13293 89777\n9827 13773\n34592 98292\n71 6000\n27884 95623\n11557 75937\n13020 36755\n21463 99660\n45893 97216\n38833 68331\n10774 36547\n12940 25917\n27611 56562\n396 12493\n21316 53306\n2856 80820\n35366 96175\n9010 32784\n2687 78866\n85298 90163\n17276 88660\n4030 38908\n29363 86941\n44397 88073\n20550 22967\n12433 21201\n18920 84162\n371 33789\n67629 79550\n36820 85944\n71318 98971\n46983 69025\n1780 70934\n15294 33963\n25569 39889\n18169 65682\n38341 58949\n44096 58257\n48937 87215\n45328 82888\n4029 94082\n55233 75626\n6680 10587\n18200 51615\n4453 7226\n18593 52687\n58 24088\n5665 78678\n38448 42013\n46575 56054\n50855 58168\n2028 56721\n55351 77495\n28147 71133\n42871 99221\n40060 99985\n11269 25383\n70550 86881\n12679 19821\n5030 5941\n1165 55122\n41875 96661\n40054 57325\n19916 50911\n87303 95718\n12258 62863\n20287 79186\n37976 45531\n4396 99799\n9716 70232\n65826 86347\n33511 77801\n81151 99598\n23394 69602\n4890 65380\n48403 65409\n4399 30976\n45095 48124\n23511 58963\n13200 15431\n60209 66824\n1219 36754\n7611 70206\n21938 48580\n10541 30649\n14829 25837\n22256 24081\n21692 51729\n987 83699\n74841 75230\n28873 53033\n52496 81979\n38738 91384\n63782 98722\n4924 44852\n932 90644\n11904 49961\n9971 39085\n25294 72342\n20180 25807\n26943 98840\n16928 62732\n4989 77078\n14830 96122\n23133 54162\n37597 38254\n20233 69335\n17967 70573\n56083 98096\n36855 90731\n33233 91641\n70170 96003\n64779 93972\n46153 85901\n6 66188\n25595 55329\n7799 45718\n60667 63189\n8256 44028\n60807 86778\n15967 24340\n27250 29210\n47422 66757\n15792 36876\n34409 66092\n34863 89271\n69699 95032\n3081 94604\n3823 27294\n74400 94256\n28236 83860\n26425 92933\n25869 39709\n8646 22063\n15744 93679\n3573 14895\n20949 28333\n11881 70984\n25717 60977\n39782 91852\n11718 57399\n4571 74899\n82267 93181\n25854 29112\n83804 87963\n34070 73499\n14043 88907\n694 38695\n16330 84990\n83869 85978\n20956 73290\n58760 96970\n34632 97693\n25919 54767\n9170 69327\n34515 90661\n35457 53502\n54840 56475\n36495 88607\n31634 50805\n50868 52811\n28375 91032\n14713 33043\n42243 52891\n44923 54113\n39414 46896\n3337 75074\n2871 55295\n41296 54412\n6001 68957\n30228 81174\n11082 83473\n12630 47250\n11245 24760\n12883 88794\n45958 57839\n22745 67600\n67392 90279\n58497 94499\n28351 44318\n28794 47742\n1779 46653\n23549 36144\n47636 48927\n28844 94441\n26418 91589\n49715 78054\n25996 41762\n74324 91397\n75304 77388\n5994 37748\n67664 72791\n35195 72692\n52146 80744\n52253 79168\n45875 49391\n38216 98871\n4998 81255\n84295 85894\n39893 98454\n1941 96277\n9447 46207\n17546 44879\n86249 94926\n14867 33537\n76406 77707\n8969 55610\n19334 22713\n32025 35066\n15962 96108\n51834 86575\n67199 90498\n12270 92731\n41689 42293\n4811 82805\n3788 75076\n33044 63119\n64598 80303\n62141 78064\n49469 92846\n5599 36020\n18304 35936\n17612 64791\n30411 70047\n27342 31278\n3537 93994\n23088 88540\n10268 21959\n3247 86279\n22492 65636\n25807 34315\n92512 93624\n37694 49345\n55846 78746\n18741 95980\n13636 45523\n12552 50129\n11215 56970\n62009 86754\n43195 65240\n20478 50512\n32891 35327\n32126 39314\n52521 57625\n16508 62706\n77319 82463\n16310 34503\n59240 63814\n9866 33428\n28638 73512\n51595 62003\n37507 85303\n15905 68871\n15747 84909\n1517 12623\n39238 81436\n81211 82168\n37988 64674\n13215 26007\n22108 68546\n18739 55626\n14699 38549\n33364 62134\n2804 59120\n18417 60043\n13844 72911\n2721 17165\n7555 29743\n9346 78164\n7683 49038\n16105 28913\n65767 96237\n1061 43661\n19408 80146\n34867 52744\n30575 44773\n28631 96838\n24210 47775\n52982 94496\n18753 35780\n4375 75112\n37056 50780\n12949 51549\n24962 75588\n56586 87767\n56785 64853\n56846 96778\n49214 74643\n87869 99219\n48319 83000\n12852 94685\n65168 96002\n43509 86492\n45363 78682\n22763 79574\n76698 89609\n52324 69988\n6081 83837\n37783 51850\n22415 84158\n29246 41184\n79077 93657\n74118 97712\n42343 54144\n26079 92982\n66818 79169\n32402 92984\n19926 62939\n7843 47921\n82858 90804\n65638 89489\n52003 52215\n57484 82896\n1045 80353\n15669 44982\n29335 67762\n5271 58477\n52730 67390\n6835 32681\n52201 75571\n59293 79223\n37692 95035\n21717 30755\n24577 63226\n55430 86000\n2857 90546\n19863 79497\n92969 96176\n38384 61342\n37325 91923\n39454 93737\n301 40760\n13577 72213\n22951 23979\n40142 72354\n60711 67366\n8000 18016\n37770 71552\n15561 73388\n74384 78434\n45228 64288\n34570 94702\n66077 84094\n25465 63075\n55417 87136\n27500 53825\n75589 99832\n58700 70884\n55024 68749\n73511 94172\n27835 60227\n7492 21006\n7369 12326\n5965 38783\n15538 28293\n61183 96632\n20081 54495\n2634 99583\n30027 74107\n33937 77527\n4599 57126\n39192 52151\n68617 97003\n24768 99653\n6238 80768\n50548 90553\n12709 21324\n36809 61592\n41686 50736\n33763 66484\n72620 74853\n12369 33751\n75932 89077\n20000 61921\n15009 89472\n19454 53840\n48534 55540\n2070 96488\n17676 89072\n16968 80270\n12365 63702\n20221 54210\n82976 86337\n74518 80165\n26317 82160\n989 85352\n7088 48152\n21554 83348\n5086 38802\n47454 81462\n2064 6363\n72753 81438\n40780 41200\n4139 61659\n3171 74509\n774 62360\n199 93734\n9366 98898\n27075 70776\n32338 41341\n3889 37910\n62450 82974\n11108 33140\n52742 60105\n40833 89880\n17821 47332\n58353 91930\n74614 87126\n53597 95955\n42573 57507\n7274 81366\n1920 47461\n9521 88521\n11873 63362\n1119 59031\n5571 87185\n17087 78702\n51857 74890\n11648 17831\n52723 59907\n56995 96569\n2109 89868\n57924 93329\n72333 98919\n20739 92065\n19313 42473\n10897 34918\n6572 12451\n20395 42241\n2665 68534\n68340 95799\n11068 62471\n27431 48342\n22095 34591\n8574 59802\n32166 58867\n87418 89869\n85938 96226\n8692 79294\n32407 82345\n7533 94524\n36218 77424\n2915 71764\n13647 21472\n59434 80753\n80013 99725\n67092 81894\n66082 95501\n29550 66497\n6511 74511\n669 65166\n39531 89493\n52221 98635\n26312 71205\n7771 40270\n25600 61658\n38488 92038\n991 8272\n4996 8002\n30122 42417\n45033 67343\n27561 70718\n45107 69015\n14813 37111\n6119 75079\n13481 64436\n17278 60158\n26017 82549\n9924 86336\n79389 99547\n1548 64522\n13575 94301\n37627 44340\n54823 57945\n16150 84409\n41728 67735\n55076 62785\n36755 40566\n49295 87087\n50335 88777\n20981 32451\n400 41099\n57110 70244\n34510 73308\n13277 53579\n16542 43273\n25685 71927\n11231 13216\n9764 71443\n36932 80659\n26891 38899\n5040 74751\n17391 60231\n47798 53960\n76070 80359\n66464 87609\n46544 73506\n21938 46387\n44153 82525\n15245 98974\n13128 63909\n42046 54330\n67280 78832\n28551 85299\n48031 93274\n3528 79864\n15376 53858\n46120 61352\n40298 59488\n31794 34286\n11993 24301\n23997 77577\n74022 77351\n24936 90881\n52090 54182\n23959 99969\n14771 60865\n13669 71053\n48602 49040\n5681 77425\n17886 22084\n15764 75361\n10491 90064\n82236 99512\n31681 58971\n4401 35413\n38225 98831\n52212 84601\n17189 27913\n38306 84393\n23810 59127\n62522 95830\n70963 83714\n21222 51165\n47675 58192\n25485 57057\n14729 56124\n52752 73294\n96034 98583\n21461 69546\n71728 96665\n7186 62032\n39454 97134\n36302 83584\n37923 59521\n7530 71871\n3890 67778\n1760 40515\n33819 65715\n45171 62079\n15125 63478\n26441 61780\n57162 90521\n3527 78115\n57387 84418\n12665 75621\n56344 79391\n14114 64650\n37915 59003\n15108 59537\n639 70782\n15440 86140\n1536 91830\n3455 66360\n50037 73055\n45876 95748\n49581 64003\n3363 94911\n42574 95633\n36902 57997\n16923 58959\n16829 96021\n4323 59683\n27573 72140\n9481 71697\n2330 99031\n17093 89582\n7915 79617\n16596 83454\n35165 83643\n14947 34803\n21934 69953\n46085 81717\n31668 48642\n15263 99959\n8616 62609\n35191 65802\n20704 22016\n12158 50231\n694 73802\n57354 93723\n53465 81927\n62456 66507\n42543 69620\n25662 96815\n9901 23629\n73970 76407\n24155 51375\n41910 94948\n9784 47141\n48985 85246\n5870 25751\n54471 81278\n35800 71751\n1967 72918\n85186 92679\n12808 73757\n67492 96280\n20742 51365\n8205 21753\n49201 66676\n66534 82891\n13455 96101\n32555 65586\n20757 39493\n66818 78886\n7647 14361\n41137 64803\n13639 23254\n87064 94320\n96135 99396\n4338 25480\n30091 60645\n2612 59970\n7198 89997\n43002 67849\n23874 97845\n37136 51834\n11307 17387\n53697 66461\n8839 71825\n82390 96597\n24686 62353\n20010 65885\n75302 92405\n3787 84532\n34586 88729\n941 76048\n2786 86630\n11824 19040\n63272 69378\n17293 94630\n3237 98926\n1166 73614\n17514 17931\n24695 59755\n76772 90828\n24745 57797\n11774 36321\n29574 46590\n61240 96966\n54020 55658\n34046 57465\n60503 64635\n40268 61304\n10290 11808\n17550 90684\n41312 56903\n20136 58787\n8291 90928\n13501 48328\n16884 39725\n45264 63375\n26433 32533\n47397 80762\n45541 52750\n58211 83779\n15318 56257\n34979 51612\n81539 92272\n70553 93571\n37656 41526\n51190 81356\n32234 53166\n18879 77245\n41054 58527\n51585 91920\n44324 83678\n24914 58866\n41699 69890\n44268 67713\n52009 52141\n23478 46339\n571 32055\n28184 34606\n10512 34808\n80681 83822\n5052 32742\n4436 11122\n27360 96865\n1403 99211\n27795 36122\n15748 17603\n32941 81735\n27984 28610\n54440 76587\n11647 31988\n31592 75280\n68362 76225\n12183 41113\n61921 79238\n10250 54702\n23917 85976\n7949 90518\n48049 52608\n63542 81778\n45127 77364\n20799 27757\n85712 96689\n23682 74797\n77985 84048\n42563 75939\n17823 40469\n28721 84092\n4526 93035\n8570 90007\n46733 95592\n25770 87869\n10796 92275\n19537 79968\n3290 67834\n52384 91521\n45680 69944\n45732 57702\n75868 92224\n12899 98357\n15867 29900\n68794 74766\n29286 35078\n27780 89662\n37757 49377\n23874 58509\n80315 97795\n38413 71401\n39905 88260\n73881 96137\n45063 72691\n10353 87694\n74095 95075\n3656 85929\n11686 97853\n49401 50033\n503 23301\n310 95675\n49821 52573\n56321 88726\n7431 15865\n35926 40588\n31058 92148\n27935 39382\n11268 23380\n10587 88818\n17611 38732\n3387 11500\n15053 69403\n52418 92623\n21327 41007\n76435 92473\n9509 49655\n23608 26378\n46650 63571\n9336 97607\n43151 63287\n30151 73321\n63985 89495\n37696 59993\n29234 84719\n41172 44594\n19835 63108\n16208 35726\n4552 10299\n10770 14481\n55055 75913\n34851 64135\n12236 85043\n45507 86670\n21415 44005\n30134 90922\n50126 70243\n4842 54571\n9176 60481\n51514 52839\n9547 37205\n56811 72609\n53379 99098\n27782 87051\n70530 93387\n2543 98020\n14929 60043\n52257 92911\n12949 95130\n64794 73006\n17316 43779\n55671 98254\n47985 72542\n16404 61220\n23982 50312\n49660 90639\n47497 58237\n3862 66371\n49773 55068\n70462 98609\n40289 65982\n39154 58978\n9997 75699\n64473 84148\n13040 60022\n1353 61148\n16973 70289\n21901 22923\n33398 34202\n54530 87044\n28618 56468\n19903 70944\n4100 41533\n1854 69560\n9850 77147\n1079 60367\n51433 68451\n3411 35595\n21805 58259\n33040 75801\n77190 94277\n28618 70986\n21339 81023\n2795 51309\n52564 53712\n43074 89451\n1269 40084\n41229 98483\n75159 84362\n28971 78834\n58626 61960\n32112 98830\n82323 88303\n17131 60868\n1654 25338\n27955 37474\n39574 86739\n47638 92065\n6030 22701\n17267 36325\n50780 54844\n28620 75461\n16068 97406\n79005 90881\n5190 72266\n4313 16869\n14999 96147\n53326 77018\n66168 71091\n3603 3704\n58904 69946\n3282 56744\n20061 71622\n4442 75343\n61730 93204\n21964 40394\n53111 77942\n13315 76392\n30518 73732\n70285 92088\n58943 88700\n56389 76905\n12428 66215\n19221 21669\n32303 60572\n30898 37291\n33343 64863\n3174 99627\n2076 51002\n62538 71697\n32137 56510\n83735 92195\n68010 92780\n22659 24641\n13970 71240\n48543 72855\n45907 48762\n54423 82332\n7245 16443\n12828 30436\n71438 83653\n2954 6451\n43811 97614\n46523 51994\n41686 94695\n47479 65588\n86020 89415\n46679 77984\n9116 59733\n76939 91183\n34674 98161\n74223 87559\n78975 80779\n63852 98274\n47465 64139\n13944 36423\n4581 51616\n20902 91569\n6587 87911\n50002 50191\n51156 51467\n18281 41942\n2862 58331\n66981 83823\n11557 70606\n12996 28769\n18286 77722\n24265 42827\n64189 66812\n29772 78569\n2760 53789\n71062 99984\n42804 66866\n17271 71250\n3986 8634\n49902 73438\n62386 94243\n28718 73370\n55176 55743\n19294 86536\n31510 96350\n13713 25677\n23804 41026\n31479 76762\n1179 3136\n7493 60321\n55076 66680\n61067 92918\n41486 63485\n35272 94229\n602 88350\n28806 78171\n44654 54537\n82382 92298\n84840 93891\n10568 53078\n17707 35680\n23340 96385\n61894 63212\n74608 98388\n8328 75808\n3373 19989\n51235 64847\n13465 19550\n36387 65327\n55612 71020\n22268 34784\n70856 96721\n54144 97632\n10651 43860\n33312 66194\n58655 82454\n72667 89691\n32733 87040\n50635 54936\n65845 70100\n42821 63568\n25644 45485\n16159 58529\n2230 99008\n55060 94458\n3238 60358\n47568 84043\n3959 14873\n5949 10169\n7180 16056\n35391 35786\n20921 65632\n4648 74879\n61305 74498\n10819 94963\n159 6458\n42766 95669\n437 30451\n14359 79133\n13106 45045\n69626 70166\n19097 76326\n21064 93125\n25909 85143\n51152 99409\n9536 25709\n51644 71024\n14388 27283\n39588 49689\n19370 97516\n43564 70302\n6827 22786\n34144 55691\n27106 81321\n29669 61621\n52660 80535\n49063 50783\n36786 38925\n9235 96753\n98379 99973\n64590 70045\n26247 65404\n14333 69486\n15288 99051\n36079 93509\n13534 86078\n9922 88071\n3611 35226\n70302 75117\n16374 97044\n11106 80594\n26839 54723\n54024 63357\n65353 79247\n10292 93154\n36065 96545\n15341 96446\n24917 98670\n31473 80677\n30210 65628\n27828 35552\n10216 40409\n20663 98785\n36445 58891\n58735 89180\n31459 87057\n32444 48320\n72968 77332\n24866 82992\n88976 96883\n90043 92796\n42404 81945\n32517 87231\n44018 73531\n36946 94429\n38755 84226\n27965 63091\n33018 36724\n4786 15867\n33128 77777\n66957 67459\n8331 32793\n38043 81311\n14764 54288\n541 984\n18323 74188\n18152 56032\n50343 79716\n32084 69261\n58290 87908\n10635 87636\n2184 67241\n2690 81435\n68137 96233\n52007 78797\n59566 92071\n71062 89123\n38745 83643\n18417 80788\n16302 92479\n44643 50454\n38440 56884\n29775 76692\n44070 82494\n11071 81191\n90933 99854\n36731 60255\n55985 75336\n61089 72948\n64182 73176\n20676 58164\n499 28641\n66782 71051\n13595 80082\n5447 78405\n48352 85388\n41051 62544\n13437 79782\n85163 99008\n40311 84197\n20840 92496\n38962 99037\n30698 58540\n34414 96659\n32741 36323\n37765 44997\n55851 92933\n63397 72833\n83341 91530\n35250 78135\n48352 97875\n72807 79780\n47970 69106\n1678 55559\n66852 76643\n24405 32919\n92787 93438\n21943 59265\n26200 99731\n18733 38529\n81700 94137\n87781 92562\n77004 78471\n40836 60891\n37788 88224\n88928 90326\n5036 23814\n27903 95083\n12755 13082\n29758 80007\n50492 51736\n12707 60262\n21353 77690\n11738 69176\n14091 53639\n64885 69171\n7757 95086\n82337 99548\n6073 14700\n92151 98562\n25793 76863\n39839 74547\n19026 76161\n19909 70264\n60008 94722\n46575 50276\n73267 75193\n37608 56250\n3955 40493\n35199 74536\n65431 89917\n86604 98416\n17030 57795\n7099 92240\n2022 65493\n31480 79898\n94703 97230\n11790 57997\n15743 96517\n47634 77877\n22518 55126\n4399 8824\n61559 95056\n2251 9052\n39240 69725\n26410 56026\n65678 65729\n47851 48220\n28285 84890\n7139 43556\n7276 80501\n18806 40993\n2890 58450\n16302 57555\n16639 59920\n44728 83967\n3818 79280\n56345 86009\n11241 62868\n10364 85384\n12058 12866\n47139 94565\n51148 78925\n33030 82647\n26666 61876\n29223 61450\n59242 87542\n45025 48523\n31163 37281\n55088 82877\n78193 89672\n3520 98360\n65502 83656\n40109 86891\n42351 54794\n32585 96065\n17634 58989\n31602 35908\n9107 80629\n89901 92865\n45110 77050\n42976 87590\n80892 96790\n51107 79389\n77449 88520\n11824 60087\n37814 84530\n18911 87323\n39510 92127\n49175 57154\n95151 99674\n10821 69621\n27110 97161\n4496 57770\n55853 69973\n37867 81573\n16331 26745\n4758 99642\n31409 98028\n7713 24963\n11310 35925\n57022 82515\n47249 96339\n2973 75326\n17831 66059\n3633 59432\n90988 98262\n53355 89851\n63026 97991\n25289 31527\n9125 80394\n24256 85186\n76131 80427\n28359 66886\n90398 97650\n41316 43787\n61538 84654\n19052 89891\n95485 99868\n26319 52190\n13469 14979\n26954 53100\n2915 70594\n55268 59746\n44549 59530\n41463 65020\n81156 91577\n26883 55716\n57877 81116\n43402 63954\n4786 45039\n35042 48868\n4450 26697\n6879 93054\n23032 95091\n31998 52403\n6894 78856\n43784 93848\n38477 61248\n23093 90193\n11812 90439\n68679 86603\n31573 46148\n2497 48387\n37380 92526\n39929 55085\n14033 99984\n20678 81270\n2364 44030\n34838 60124\n56 39286\n1369 80803\n46651 55043\n11546 50368\n79492 79916\n21171 74138\n32716 58529\n75550 78707\n42948 91579\n25163 64386\n4351 20813\n25939 94452\n5516 31392\n69235 75658\n62708 62712\n11965 80865\n11923 49381\n20174 53162\n20187 55528\n76321 91494\n54595 99067\n94836 95675\n26578 52272\n17190 32758\n14824 40717\n43285 65464\n60136 61940\n81394 86929\n14424 50526\n4519 19974\n61497 66695\n71123 86585\n7837 68140\n41495 45209\n44945 59436\n471 31818\n6961 32366\n15910 41365\n53987 96949\n17609 95239\n26483 73497\n18960 81736\n25268 97204\n31405 98015\n65647 77922\n24409 59035\n25855 62604\n4956 75212\n42495 97607\n42812 50092\n16217 80888\n18341 69792\n26426 57879\n5304 75055\n40579 51523\n46525 61277\n1027 62584\n48672 70393\n62973 73431\n45701 78475\n4119 86894\n48241 86355\n12742 84268\n73 22243\n27634 63928\n428 2045\n11422 54204\n78104 79110\n10358 13732\n16288 56053\n56510 59141\n11638 57641\n27200 72377\n20873 28665\n6424 74321\n50749 98377\n35062 62648\n60510 97423\n72706 79139\n15775 48609\n32465 47343\n2933 27986\n83133 87443\n30325 32375\n90352 94152\n36540 75395\n2393 25347\n6086 30492\n28091 35950\n15419 56953\n32614 49757\n31002 50099\n21260 32004\n21498 42531\n12567 80717\n15509 80056\n17280 87269\n90628 98765\n22277 84847\n42701 57005\n16430 50639\n49121 69507\n10341 50139\n16951 84671\n16878 75358\n83636 96254\n14792 48389\n48525 56467\n44591 91960\n19090 70304\n71050 87884\n10047 36116\n57484 76776\n50236 73791\n24721 78627\n42945 89399\n24171 73949\n2259 87373\n8492 24950\n54286 66604\n44020 54178\n39868 67984\n54497 75100\n999 91473\n46117 67156\n52552 76669\n16051 28201\n8671 27511\n44407 70503\n59931 65761\n62189 75769\n24170 52305\n38499 68752\n50421 54712\n50659 66291\n6208 96962\n20249 54914\n54679 83972\n36054 78534\n18517 42684\n39141 45424\n19752 22856\n5986 24849\n42980 69935\n11869 22895\n29220 66306\n25987 74520\n26281 54221\n46958 73719\n12879 67494\n11214 33645\n7124 74186\n51660 65128\n22807 42800\n23838 50829\n24295 39207\n84818 99531\n41230 49183\n51657 78097\n35056 83169\n6352 80013\n29095 44444\n21454 29141\n17021 28322\n33338 37743\n14281 54595\n52925 67308\n17052 33757\n67079 98187\n12155 27435\n39329 67885\n41821 89804\n20365 75219\n31398 74487\n35469 43357\n45929 84604\n16196 27508\n55546 82814\n51812 85470\n36899 95876\n30854 43975\n6143 57864\n16686 61976\n64316 91432\n9974 95452\n67295 70611\n36379 51673\n4383 50353\n34463 57254\n16265 25993\n3174 26132\n6745 70728\n75904 77356\n13186 61345\n55698 71355\n32724 72752\n16232 92582\n21986 42479\n97322 97491\n70288 82643\n53952 76790\n39872 54514\n52855 77505\n36412 89107\n4435 87653\n70729 88497\n66153 87376\n828 3646\n18541 36821\n22846 65149\n36513 41571\n59377 94307\n19208 62468\n40978 43989\n44782 47084\n30200 67476\n78543 80110\n3260 64742\n81893 88503\n14141 41743\n81923 92187\n46971 52107\n69954 75849\n29969 86063\n27328 88748\n14576 45337\n20161 93004\n44465 82734\n69626 97051\n18286 65651\n53680 97192\n2124 65811\n33047 53148\n49785 88921\n45590 94179\n19143 70006\n40082 84924\n7263 33514\n60356 92451\n72654 99426\n60590 86554\n57621 64457\n13701 26846\n865 22171\n4279 93095\n31040 70667\n54300 97829\n51867 59071\n6295 88634\n71205 92132\n24350 42071\n2069 72703\n50817 72038\n92407 94213\n19483 76257\n32074 64285\n41911 67347\n21410 69834\n32546 51787\n96463 97446\n3821 77238\n43377 76967\n22112 83189\n17105 83256\n29618 47749\n5112 61468\n4805 80782\n16985 28396\n3821 89401\n50964 62579\n67785 93635\n45545 67687\n21998 99547\n27571 68535\n26477 66904\n22579 23717\n18107 52063\n19146 51837\n33371 74761\n91144 94408\n5879 93315\n51301 53562\n34870 39583\n10081 22130\n37573 58265\n85233 88947\n36842 63659\n51454 81298\n16536 73257\n58580 92224\n3483 52884\n2778 92798\n42708 78357\n61345 93388\n52577 55034\n55523 82750\n49009 89029\n45421 60799\n71259 71893\n89545 90589\n35830 65341\n12623 96892\n41154 94489\n23273 25711\n5544 58760\n36716 95631\n71493 78664\n32355 51433\n47065 78790\n34845 73555\n7518 30076\n16438 76352\n35148 85195\n28387 81391\n42629 47431\n26518 64949\n15413 79890\n32144 50702\n95 81943\n51224 61549\n77602 79892\n14435 95915\n8075 39377\n19516 63510\n9799 27447\n25858 36613\n52898 70486\n84171 87214\n14628 39054\n3482 87980\n58142 86769\n21393 80236\n18660 91703\n26005 28131\n56621 71526\n59332 59455\n1460 61070\n23708 25830\n43656 82242\n14408 77901\n38775 69790\n18632 23463\n79116 86372\n50195 96267\n49845 94076\n6900 81826\n79698 87909\n15777 46310\n3344 91851\n48817 54740\n49039 97877\n50249 75440\n45226 89818\n3404 72208\n51730 80882\n18777 43780\n84279 94191\n6663 26701\n84111 88801\n3114 40495\n54724 75457\n379 3519\n38915 58186\n26097 60714\n44323 68638\n8178 9172\n1510 31076\n67314 70797\n1002 53335\n43013 61301\n63464 83509\n24541 80048\n37502 68474\n70843 88623\n30487 56324\n31851 98596\n33563 54175\n42081 90234\n87816 99953\n4588 94679\n6648 96292\n63497 68361\n28399 56348\n18347 20586\n25586 71636\n53631 66743\n6736 89637\n51165 76371\n59466 85790\n37707 62598\n12898 68720\n67022 82332\n25861 60152\n36699 75655\n21974 33884\n24704 33049\n44663 72701\n8927 85574\n4268 94181\n78929 83158\n19324 73272\n7275 52604\n74708 89185\n12102 96477\n29490 38905\n43022 56602\n28102 38795\n14555 64703\n58427 87582\n31985 33144\n42471 48450\n11490 74765\n44760 90874\n43272 55795\n28946 40869\n38676 96605\n7304 13566\n21605 56863\n13214 79717\n37530 71923\n76293 96391\n16514 52016\n20036 59049\n37765 58704\n6661 40946\n1597 37068\n30236 70751\n70985 88997\n40775 77168\n6951 34658\n15991 87617\n21639 51357\n64346 92447\n71774 87024\n32282 82869\n64903 72139\n10666 80608\n30910 84282\n56345 70992\n61654 64431\n54949 75560\n40351 82138\n17304 70376\n71420 93438\n9309 30812\n42458 60955\n42098 77665\n7045 29611\n71641 81416\n65058 80129\n41549 91441\n14395 81334\n65280 86067\n29668 95845\n3314 26796\n11718 17538\n54874 83606\n17382 51538\n14127 61544\n21302 44650\n21860 58469\n90245 95410\n5762 50824\n29462 52728\n84843 89231\n35995 78330\n4023 6322\n5883 99116\n18894 80345\n59263 97541\n25784 46163\n899 94992\n72288 79036\n32277 57335\n51003 77830\n27049 39701\n52536 84152\n1196 28475\n14469 74300\n751 68604\n19911 30703\n67933 84264\n78362 89195\n11486 68226\n57028 64245\n68617 95924\n4037 92403\n20385 81538\n72118 93550\n28378 60617\n39077 90699\n9729 23097\n83675 86710\n7831 41195\n28852 95262\n23448 83323\n62366 64871\n9497 56029\n70365 83431\n35640 81467\n38586 40515\n18983 65771\n56082 85318\n20846 35976\n45116 97926\n17456 74139\n18425 81748\n62872 77999\n63391 78626\n17137 50127\n19151 83002\n44348 70220\n8188 65655\n46236 56320\n31643 84176\n83823 94049\n40442 68566\n70792 88923\n81274 84198\n42751 91239\n5214 94749\n52766 86585\n2013 67781\n13321 48413\n11695 51332\n56899 94452\n30805 39995\n51320 67610\n29429 29500\n62201 98077\n1736 34869\n38782 59230\n29684 39565\n70108 98747\n55461 96427\n32101 87918\n11902 15087\n15923 58213\n35407 54042\n23906 44539\n61232 69898\n19572 79614\n43964 98449\n4686 70330\n13306 72233\n2215 20774\n55536 73381\n48455 68812\n39459 91105\n64959 76222\n32581 86891\n39156 61101\n69827 91000\n29855 84892\n11769 59433\n4797 87823\n8020 53057\n84212 94113\n4312 51081\n34617 61760\n15343 37439\n58587 93338\n43865 70527\n62187 93025\n8055 18539\n52545 98930\n38309 38411\n55587 68407\n53971 93822\n38138 61956\n14877 21472\n55665 75854\n68875 70161\n37012 90429\n18380 91869\n46123 47253\n733 86730\n23733 54115\n28648 96266\n50834 55081\n20810 51489\n8465 37939\n65090 77740\n45485 46774\n38731 45388\n54666 63704\n26781 53988\n24034 80228\n45570 75753\n3926 85297\n1693 4929\n29932 35970\n9335 42366\n25504 50132\n4777 46334\n28251 41431\n2815 66483\n5042 80209\n38269 98354\n18652 65671\n37903 55581\n6398 72578\n64414 84234\n11665 57761\n11396 84110\n19772 41546\n54673 54826\n39950 81813\n41593 98184\n13594 90354\n11700 18328\n51505 79987\n73289 82832\n15887 85326\n1100 84597\n75619 87228\n12053 42849\n11248 74469\n21111 55062\n13649 26592\n29992 80775\n14808 78206\n38063 58772\n77006 80770\n59395 76839\n54042 68708\n92588 94504\n18286 51017\n9707 43742\n4682 69905\n10530 90124\n5625 13333\n37711 46042\n21579 36905\n29051 30098\n24886 39049\n5965 33177\n21062 68222\n5402 69227\n13311 29418\n61665 84823\n28489 89055\n37169 48765\n11327 96329\n5793 62086\n52139 59756\n45905 57505\n60356 87689\n25982 35863\n28834 43790\n13897 46521\n9952 56157\n32449 55847\n33744 83278\n25374 96469\n75854 88035\n8778 81249\n14341 79782\n71913 80451\n21003 36521\n97648 97782\n16743 19286\n63348 75601\n9195 15898\n12606 26030\n77537 90097\n75830 93047\n20046 32965\n74577 81776\n39250 90813\n28226 52371\n13003 87762\n36104 67377\n21783 52399\n71404 95612\n8052 19092\n8474 77959\n36775 50835\n22354 38835\n10478 31292\n72112 87229\n21707 32627\n26443 40864\n70222 74791\n14157 38989\n13459 56237\n59062 88331\n7191 93832\n55217 90087\n39762 43361\n19612 30972\n57837 94082\n47057 68200\n74168 86099\n28160 81572\n61262 85192\n7520 29326\n12952 97617\n44736 94026\n5860 78810\n21734 47090\n5121 55633\n39241 45467\n9924 17380\n26464 36669\n3127 60418\n4874 96787\n21610 71904\n24830 65303\n53029 55300\n20221 50225\n11126 97868\n93 5558\n54822 80633\n47200 79914\n22669 27476\n5619 48595\n43287 69372\n8305 61084\n32677 42702\n45676 84884\n28489 40683\n79768 82723\n66422 87932\n30731 98076\n62721 80966\n18720 41163\n668 88565\n3522 75469\n71988 93651\n91494 96857\n31478 84833\n74532 78025\n48376 72357\n27743 74231\n51095 69811\n4944 32641\n30691 54276\n15204 98575\n14646 80744\n69708 86737\n45967 52110\n61331 76520\n85905 95864\n60145 88182\n44343 95844\n14219 19057\n11734 60124\n6818 43198\n25976 94473\n60184 89977\n70500 81355\n1343 73720\n9597 61513\n9418 48241\n54819 78608\n2135 20938\n12131 64350\n32503 46603\n47253 84905\n41741 66529\n2504 19660\n3786 29632\n39742 53829\n30684 53324\n49192 92301\n63904 97288\n66852 89044\n37441 47845\n62817 84903\n5588 18096\n22085 98076\n8441 31982\n56188 99623\n780 84154\n36692 43365\n10990 92357\n3801 58688\n42140 45183\n28973 34227\n19399 92526\n22424 71288\n7626 24134\n17765 41386\n24300 55260\n73975 87408\n20351 20905\n71700 76503\n34692 96001\n16412 72954\n62514 73917\n6420 36064\n10598 81894\n21597 36773\n39266 80218\n26527 53773\n4668 61120\n14458 29387\n57056 72179\n59394 92832\n33975 94443\n29076 97512\n81740 99180\n72257 90139\n63421 90193\n20318 76877\n75 2469\n58374 66141\n9140 79010\n85735 86177\n2934 22870\n13992 72897\n63886 83135\n681 74969\n8920 26983\n20655 30072\n29336 74086\n11550 82545\n29166 48312\n66842 93720\n11711 41621\n15161 76716\n1819 34542\n70944 77505\n13066 16636\n15615 53017\n34571 38362\n14195 40732\n20278 40131\n18904 84369\n34073 71076\n62115 92839\n73222 88903\n15409 65702\n1372 72910\n29309 98641\n6347 41706\n26068 64957\n12549 83763\n62173 78713\n9311 82089\n35687 56603\n56664 61242\n25060 75229\n15820 21413\n35776 42023\n21124 86000\n18373 77915\n70271 79373\n38710 82893\n19652 49874\n27818 33102\n4791 40019\n46120 76508\n10321 10652\n48498 85096\n5050 6907\n37626 81248\n55026 85896\n10277 26990\n75158 96904\n60347 82110\n18442 72371\n60899 90998\n64544 65705\n28080 96290\n14819 69200\n19017 20384\n12596 55068\n9200 38368\n49361 87600\n25816 38243\n62344 73798\n52437 60703\n17367 48047\n58568 64523\n76139 78139\n24397 66054\n22968 40263\n18961 78713\n22649 87858\n23622 31087\n79178 94174\n10053 25955\n80436 92878\n24730 95511\n2250 27064\n23327 40202\n15230 50728\n2234 50945\n598 82906\n22007 25498\n64458 98913\n49082 58588\n56463 99055\n7129 14565\n36265 65784\n21077 66070\n967 34408\n30375 34980\n67576 90008\n16310 42267\n86995 91784\n5432 91673\n10767 74035\n23114 78165\n21465 92174\n57251 61540\n51253 74748\n51008 67287\n38006 85858\n75033 86618\n15638 82250\n47729 69930\n66318 71995\n40009 40472\n54547 73928\n6006 12052\n9445 98114\n9592 38475\n81459 88720\n13889 47353\n33404 71843\n30173 77954\n17792 21168\n5840 34023\n93728 97731\n17441 29354\n20094 75516\n14451 55574\n21089 29493\n37677 74759\n44537 76735\n33256 69666\n11270 56507\n34119 67647\n4787 91698\n10250 81901\n15129 64093\n55689 95672\n59140 68321\n12546 74291\n49772 61211\n18971 86133\n86633 96858\n38107 83091\n48158 93352\n19288 42063\n6461 26016\n5737 14421\n2507 12994\n52537 54879\n71372 71610\n6849 41570\n39610 63487\n5450 99924\n41519 81932\n67265 83785\n47243 61366\n94616 99994\n88271 90931\n53232 57596\n32200 35448\n17160 71896\n27707 36177\n3965 5229\n24459 95641\n21956 24525\n20418 38302\n11911 18089\n4398 52056\n6647 56246\n14389 18119\n13712 82456\n29820 32518\n18627 71346\n44660 79032\n6633 29541\n32510 69265\n7277 21424\n54248 99383\n32779 48072\n25964 53020\n62931 85696\n25172 46602\n37161 87828\n23416 30741\n24732 35237\n10933 53740\n6409 66389\n85618 92410\n18859 74957\n28305 52623\n25677 79354\n63886 64157\n37218 45799\n1026 88044\n20820 53074\n11310 93327\n35184 88061\n46199 88798\n27795 89140\n3008 52921\n11497 75064\n31498 62977\n50349 74363\n53138 86014\n67519 76470\n71771 92406\n92613 98201\n516 30930\n5981 98279\n2074 89863\n25180 86849\n64499 67850\n32345 49520\n9327 38969\n55708 84108\n14131 89958\n1141 7060\n26396 53016\n21159 63734\n57207 81688\n12450 24635\n48907 75751\n56720 70734\n26724 53279\n23491 56104\n10918 88428\n60011 81622\n3473 91211\n57082 72186\n88968 93792\n6986 27368\n32099 84849\n3954 41740\n45403 47331\n27021 75422\n16682 51208\n21346 27547\n16529 88895\n43833 53285\n16658 36576\n7535 89308\n60248 81797\n20273 95863\n57379 69209\n14990 98198\n32033 35765\n84404 86156\n1009 4162\n12343 30986\n23265 43062\n3883 30419\n36796 37758\n31476 86389\n36543 52466\n38977 74431\n17178 65237\n17450 62370\n832 46726\n71722 78886\n44334 82783\n38424 75348\n76008 83444\n34265 74961\n40068 89991\n60546 84702\n45617 91568\n33856 47312\n32814 86856\n2457 24158\n25402 37048\n7481 79003\n60001 69915\n20641 31882\n14204 19336\n61501 93396\n79048 79225\n12681 95291\n7096 71509\n21001 95599\n50133 95329\n13429 52534\n71332 75904\n60743 83665\n72222 96190\n12213 97651\n3597 5981\n57698 78866\n269 95465\n124 69129\n5486 79366\n60984 64468\n76319 77183\n50078 79085\n65877 81715\n13013 16395\n23383 90874\n51274 92496\n26108 29362\n27610 62248\n33748 73769\n13638 82395\n5374 14483\n15550 46041\n30531 69504\n15810 59326\n12181 15334\n46446 75362\n7380 90766\n23696 85762\n49772 53277\n15908 46919\n10905 40080\n5745 20938\n37940 57512\n5057 98393\n15670 26787\n11933 13306\n90809 93973\n30765 39648\n58134 98174\n55964 94147\n63694 75689\n21446 23866\n92526 93122\n56495 91548\n67815 96604\n53238 90828\n54 37077\n6061 75997\n36112 59417\n43915 98627\n18099 45997\n8228 56183\n59653 67416\n29252 87184\n79441 90975\n67743 72985\n34168 53567\n34604 64261\n63912 76647\n80505 94369\n57379 67815\n26699 33717\n11702 25549\n76250 79960\n43239 95488\n25012 50518\n60349 84975\n13078 84752\n43719 50603\n80316 82053\n66742 82133\n22372 43155\n71369 92421\n49501 80878\n2961 58552\n58936 62263\n34084 64118\n44737 72468\n556 64533\n28190 39953\n31831 50913\n33984 62718\n36769 83286\n26576 51199\n49768 78445\n20988 31811\n1766 70477\n15055 15589\n49923 59943\n37722 74454\n61091 73139\n79589 82613\n23900 50027\n6735 77722\n73251 79434\n14987 77108\n39107 95111\n6761 17673\n9674 14643\n39640 44083\n15759 89336\n23592 54287\n43631 70698\n12706 84689\n78346 79463\n61300 95972\n14596 52910\n836 22465\n39351 84963\n74267 91357\n31181 51617\n44240 96294\n12372 42049\n10055 75883\n1493 28659\n19312 28805\n12327 27223\n532 16658\n6047 84077\n56105 73265\n92736 93176\n22776 23852\n9549 89893\n67144 79917\n9520 79510\n68473 79537\n22668 72873\n62900 83844\n13199 15507\n8394 79218\n41978 42187\n25524 95626\n6100 55551\n18181 26193\n70688 92111\n19708 22377\n6556 63909\n8384 25643\n1905 82956\n7625 25358\n46880 60100\n28692 57289\n9909 74040\n24091 94395\n33411 45508\n91656 97316\n77628 99017\n43453 63383\n12634 87291\n2307 91773\n1865 50675\n8203 20610\n24112 40287\n3407 98149\n8629 15990\n15899 93212\n971 61475\n33416 84402\n12554 72532\n11170 13006\n7044 78297\n59655 63324\n37783 88274\n34576 86070\n66871 88100\n23878 61877\n33017 89704\n7645 97379\n70310 86104\n20912 48221\n36700 90141\n6464 45783\n8809 85391\n23488 60153\n46078 64529\n69077 85268\n7669 60150\n66064 67509\n51817 93999\n30299 49506\n27956 95290\n41949 85008\n35624 69872\n66323 94067\n77794 87487\n57934 77299\n1012 74752\n62570 67273\n4531 54352\n23132 65111\n1102 82307\n67707 94267\n18776 39359\n61788 86191\n22385 35176\n12591 33926\n12571 20723\n16289 61506\n37091 39745\n658 22321\n66262 72075\n38068 94913\n40821 80369\n39899 99589\n24035 35989\n43316 90530\n34564 94308\n32936 32998\n6632 82865\n92590 97905\n61313 97315\n39116 54259\n12090 16312\n17517 54092\n18018 22558\n35914 88180\n45637 97457\n48271 58576\n85582 91058\n47952 61223\n33237 50830\n21795 45806\n12557 63532\n8089 95570\n5407 66859\n22509 90847\n24529 97429\n65792 84873\n38176 44181\n14366 17592\n30011 89515\n54495 72376\n59929 63043\n1634 46675\n3053 74860\n31821 89126\n8737 33485\n46871 58984\n6805 86478\n5978 80808\n34306 76997\n73544 97984\n26617 45881\n29125 95959\n23753 70996\n4367 40879\n6678 50161\n11707 32917\n76444 80272\n37446 40791\n32814 64598\n73287 92214\n21561 65862\n28656 92549\n6692 72080\n49505 94363\n63700 65395\n8640 69162\n13863 52298\n15671 70346\n17971 95799\n6658 15916\n11336 73935\n14266 69433\n36318 56948\n12291 80520\n13503 41071\n15643 91646\n73283 85039\n3535 41844\n29805 36061\n55779 57245\n49423 55159\n21975 99515\n5712 79535\n50052 51436\n13568 83428\n21516 59569\n7831 70222\n26127 71596\n22383 72661\n7223 25196\n58310 85338\n58734 86715\n29544 76030\n67800 88634\n72088 72352\n49966 96477\n29490 74761\n31734 77843\n64351 64726\n42124 95955\n51283 74053\n72034 72695\n18009 71483\n63805 68434\n11708 15167\n27209 52642\n31608 70991\n41815 67875\n14350 69476\n23997 58235\n13929 18975\n8334 23489\n20352 90513\n62892 76175\n49473 89727\n23850 47786\n21320 29502\n4394 63875\n8174 57114\n51499 72406\n5512 90095\n18179 89856\n2321 65434\n5572 85202\n67817 86832\n42359 51332\n56004 95601\n44882 53544\n60910 92359\n624 82873\n22432 54487\n32814 89726\n13209 97170\n65102 88457\n36495 66248\n13969 17214\n16581 75159\n31368 54881\n64165 82749\n43538 69069\n20271 27028\n58118 72071\n4891 45265\n1770 34880\n9495 98557\n16988 82664\n64574 90739\n75384 83352\n35854 88647\n13014 82308\n50744 52369\n32819 93803\n21917 57572\n22593 46994\n4044 64244\n39777 82184\n2000 12646\n36965 77778\n9076 35338\n339 47309\n43033 67421\n27871 67333\n19223 94836\n66417 88262\n20968 25509\n27156 47006\n20633 40643\n42191 45185\n49070 93954\n19583 91546\n43407 68125\n2713 56694\n1968 65985\n10745 86246\n33965 64144\n20568 93935\n2715 24483\n40036 61703\n32771 39145\n31078 78488\n45451 82421\n12653 49541\n25018 25070\n9518 96365\n42455 84447\n40165 97495\n9113 18220\n18808 40189\n27803 38537\n71084 92607\n40553 49096\n30243 81564\n31958 91301\n26036 82557\n22054 41877\n7585 79307\n16389 95573\n57556 81157\n26306 51318\n77555 87192\n84370 84796\n2785 22736\n8403 19664\n39297 54854\n43675 44310\n29427 78404\n42030 68660\n57144 96818\n9119 43902\n20154 84017\n1297 56592\n22227 70216\n56915 83568\n51826 92790\n25080 33222\n8638 40246\n45559 62087\n41565 84453\n39233 59126\n70741 83500\n6094 81472\n35163 56334\n66231 90594\n31842 40357\n63975 77856\n61509 71098\n58198 63557\n33779 73840\n21461 76977\n78828 79112\n6912 20521\n49487 98487\n24329 43615\n82961 83642\n59305 71280\n34796 70779\n40701 94375\n27507 48950\n13080 94373\n51651 95045\n28810 51472\n32079 79032\n15661 33760\n36617 99001\n65856 84729\n27173 93153\n74513 75677\n16010 61775\n31733 41101\n44216 72783\n7847 56265\n41773 98611\n23662 52802\n27649 71632\n37380 50996\n8277 48458\n28138 64479\n5432 64231\n4277 96983\n36439 78802\n70756 98244\n31024 78053\n67601 96095\n25975 62962\n40156 44795\n42002 83432\n36922 90635\n67746 98913\n68814 89216\n83038 85216\n61642 98609\n32181 93216\n49627 67001\n64913 74447\n18703 68264\n27691 95551\n38413 66052\n28617 46006\n79653 85239\n5287 88783\n53046 85124\n11923 66549\n56579 93535\n45172 59061\n47281 79163\n6049 40293\n59975 61852\n6934 83570\n43190 65973\n75904 88949\n3941 9588\n41361 77368\n32865 87264\n22010 69411\n67161 69032\n13954 47125\n46997 57060\n57871 70695\n53782 59745\n23100 47421\n37885 40916\n65774 83238\n18942 46152\n35192 38634\n14620 56877\n5713 47318\n49721 51824\n47005 71753\n33512 64255\n86132 87442\n14472 63301\n26744 42362\n12873 33090\n18034 30738\n34102 93337\n61975 97348\n34864 51562\n40657 70195\n925 30602\n47484 60161\n43532 46736\n74839 84142\n23180 26276\n26452 72749\n81101 81729\n24259 27951\n32391 53484\n59420 98434\n17375 67788\n24527 63871\n41946 50191\n20080 81601\n30303 41826\n63016 77869\n29771 49148\n73127 83134\n1932 32980\n16985 79418\n52303 96806\n38932 81312\n58322 96795\n29862 57565\n69768 96250\n9567 70793\n38045 60464\n10125 83453\n20893 51657\n27725 81913\n7564 18129\n7476 22602\n12115 13056\n30043 63770\n7851 74220\n2877 3029\n44321 98998\n49399 98734\n32073 95404\n25262 33199\n34417 79654\n48321 72444\n11899 11957\n11629 14740\n56404 70626\n9284 49862\n91945 97631\n4648 31683\n56987 77770\n67645 97322\n34568 65222\n11752 52535\n31947 54085\n3818 77244\n2139 24443\n45309 52942\n80237 81889\n920 21544\n40836 42018\n61026 81371\n88127 93899\n17196 84374\n67171 84158\n34651 63020\n9147 93907\n13555 18556\n26928 29086\n4370 69615\n9680 66663\n49904 62677\n8537 87846\n11797 30966\n18419 19837\n6606 37812\n14186 77142\n26454 28576\n40522 46840\n25565 88138\n77235 83685\n65568 96917\n20132 26782\n8623 66991\n16213 59804\n28463 90738\n38279 69583\n80120 94714\n54130 74841\n37978 72528\n23058 98784\n10938 59198\n14604 50789\n19502 43788\n43170 64043\n11071 63585\n15656 92381\n44444 96433\n18282 20880\n14030 94557\n10421 86823\n46040 67024\n15678 29938\n8729 55619\n32178 78343\n1102 41611\n46022 60766\n39108 60798\n79641 80084\n49660 85732\n78 52216\n42428 65349\n7976 19600\n50357 84275\n3760 41593\n49020 61357\n21735 77057\n71956 88525\n57525 76403\n23966 92865\n202 76639\n63992 85528\n17680 77723\n66016 90364\n5017 72595\n12171 18878\n9131 54046\n53937 87311\n5384 86529\n6971 31379\n70123 77626\n16052 90558\n53203 81340\n18219 57347\n15867 32682\n76150 80029\n29412 36793\n3684 31432\n18129 96808\n49918 53777\n4333 42568\n77241 92065\n26297 48193\n4996 23006\n43116 74984\n25258 91058\n32259 74305\n6693 19704\n40074 50780\n20792 70357\n75982 77405\n60472 94012\n59939 72691\n2210 39891\n15212 62990\n21118 38498\n93511 94957\n1838 56151\n72866 92579\n56896 99696\n27634 78112\n38378 87561\n62548 64769\n17195 17707\n43103 73382\n77427 80786\n9071 83537\n78131 90487\n52059 53291\n17353 74981\n16549 69837\n13263 68131\n29916 60504\n26129 37680\n60454 70841\n36080 75442\n10930 41198\n36997 82593\n3863 12909\n80716 81456\n8859 25235\n3490 31074\n32169 95473\n11767 94409\n51421 79475\n79869 97080\n25219 89440\n71969 92038\n54622 87533\n19579 53487\n22690 47367\n38922 55003\n5833 55991\n59430 63299\n41721 81046\n27100 50538\n36979 82508\n12353 97580\n37699 89125\n10156 18413\n12793 31653\n29761 40215\n17823 83296\n54513 98268\n86183 95498\n6508 49926\n1505 66100\n27976 41507\n3101 43363\n42686 79385\n4969 76520\n58062 69873\n37565 56463\n48417 81010\n16072 97108\n47410 63894\n65161 91969\n12693 92154\n17799 55483\n7616 56213\n4281 34747\n24060 68930\n6024 6367\n35003 86323\n78373 82080\n27530 62402\n3937 52634\n77090 78025\n93059 95632\n3497 35191\n21854 72859\n51448 82182\n27726 73012\n14194 60974\n54510 97194\n43125 92153\n44429 99344\n13187 24380\n11235 86170\n30047 36812\n44958 63362\n22641 94944\n82769 94405\n12523 81242\n43930 64072\n22198 46259\n24020 39780\n46741 52455\n2530 14800\n59181 89118\n7604 29691\n3021 63845\n42718 53370\n73784 82058\n64803 89213\n4078 82685\n11487 85136\n36971 97570\n39590 96461\n29638 32978\n21781 40696\n16356 53344\n38459 67326\n8692 39733\n9718 67505\n18787 26493\n21137 86792\n57203 60085\n67033 77302\n66331 81652\n16295 92177\n57949 93446\n48430 69267\n25350 40723\n26440 45264\n2283 41339\n13656 37787\n18291 77350\n6038 53240\n78968 94405\n17488 69639\n62869 85427\n768 38812\n33665 59508\n6938 12251\n75389 95898\n35261 51453\n32544 47919\n15632 21531\n42791 87874\n42945 67309\n46291 71297\n15914 60822\n66355 74747\n56456 65862\n21459 95306\n13020 84743\n7295 77607\n4533 37316\n27809 56367\n34499 84193\n9497 35580\n25110 76931\n25195 77641\n30192 87386\n56172 94824\n5442 30705\n52304 60407\n24526 71230\n32461 57997\n34916 55730\n57130 89959\n10017 71767\n36562 76303\n10218 95236\n21892 75824\n19541 92295\n4984 98382\n60174 83737\n47960 75112\n2505 23888\n42941 65281\n90572 99231\n23254 72526\n23017 82050\n75551 95122\n28604 95206\n20815 93666\n4139 91848\n49274 66646\n40802 44026\n44761 68351\n46835 64737\n56678 95206\n48837 65212\n43368 93573\n9866 86687\n44757 80762\n85117 87460\n33928 89706\n7689 32457\n51507 88603\n118 39984\n47561 68181\n37667 82587\n8023 30354\n36552 64075\n57449 91609\n39393 80684\n69580 88663\n76193 76204\n53799 97112\n22699 93415\n76772 96898\n33840 85906\n24695 63517\n50257 95679\n47087 71693\n8283 70935\n21984 94673\n15836 52964\n38844 43011\n71489 81165\n76927 98311\n60038 95157\n36938 98675\n9128 77607\n12929 81418\n21133 44921\n32025 64761\n60987 64482\n7 98619\n37404 64085\n36320 89927\n76625 88655\n19245 93548\n11998 70631\n58644 95723\n90362 97940\n58463 74340\n78816 80600\n4610 96474\n32455 52405\n65255 67159\n15780 81929\n67295 91337\n37755 92787\n67193 86674\n51712 64086\n29839 38514\n58197 89132\n47268 81495\n43357 85710\n95266 96943\n58511 99207\n13275 56247\n28494 84319\n64250 87773\n23364 84703\n88028 88684\n41353 95987\n31502 41678\n7388 98000\n21045 22838\n32858 37364\n58224 81987\n51844 70851\n31590 67681\n19548 22576\n77575 85140\n18763 35614\n20922 26000\n37374 96391\n37710 73466\n59995 71043\n22675 32186\n9821 39902\n23424 79384\n9304 64916\n35048 44963\n31722 79910\n15438 82404\n27692 68679\n33880 50598\n92901 93205\n70692 75701\n5163 37126\n19741 79958\n814 25673\n12942 87623\n3974 63461\n52184 80537\n76737 80786\n4426 72645\n4666 70881\n51071 99191\n84760 88050\n48255 86673\n6064 31051\n55339 57838\n47441 65433\n5702 6620\n9710 86367\n59266 71775\n18439 55115\n7403 77137\n89523 99040\n34019 40959\n21498 54293\n56813 84151\n26554 49161\n82090 94254\n50436 61983\n14508 99292\n47837 89584\n61634 69703\n16753 21933\n7392 19502\n61721 63173\n35357 78407\n568 45729\n344 41150\n27593 36747\n16480 41309\n27999 96856\n44952 98698\n57919 93427\n23350 36734\n34907 78577\n19466 21867\n13963 55741\n1308 83680\n19730 71098\n37411 52034\n6635 29474\n58003 80045\n10378 48046\n55125 79437\n38208 68682\n11326 61135\n13820 33089\n37573 65314\n42547 93265\n8546 23693\n22589 41099\n79347 94885\n8384 50668\n43699 52809\n53184 53909\n46294 95013\n92 34972\n44766 68376\n3960 89893\n40249 75217\n3982 87636\n40736 59913\n55053 98890\n37276 60416\n23777 53192\n15338 97251\n4644 99285\n41646 70027\n35996 86460\n24234 99001\n32800 96271\n31567 61257\n49259 75410\n19073 75180\n29414 85211\n34962 99409\n54082 64143\n29023 47009\n13772 92342\n27324 57088\n7383 79082\n41195 47416\n8626 60793\n70230 81589\n37389 68812\n64259 88895\n50172 57895\n7149 59001\n50689 65193\n5225 91281\n33115 98836\n83945 93388\n45174 89740\n19441 57148\n13547 68575\n12254 76035\n34504 91077\n45143 92874\n481 15971\n45081 56053\n56295 68964\n41343 53567\n90339 96526\n34502 75718\n22173 71039\n49371 54965\n69692 87093\n80268 80472\n7564 12242\n98618 98843\n42034 91232\n2844 33291\n13548 61260\n36067 98235\n72371 93940\n13153 41714\n32309 83639\n29395 99413\n62268 75190\n89875 99011\n25549 53221\n16780 45935\n88144 94225\n5565 7230\n90100 99728\n69824 99381\n94526 99043\n17160 41630\n52493 82360\n30939 50449\n47616 49925\n29254 36700\n49649 64055\n15331 55618\n48429 65034\n14248 30720\n19675 44686\n56348 69101\n77364 89317\n55206 96000\n2625 48113\n52186 97433\n43871 59728\n71418 92850\n16158 88499\n5499 84611\n42731 70059\n6150 11579\n7502 66226\n66557 87933\n27921 89503\n16698 51904\n56030 84741\n49816 51086\n22177 57620\n3797 88500\n7304 35926\n20968 43810\n25081 82877\n10292 18246\n27302 83303\n78044 89927\n3865 59553\n60049 95556\n5102 24985\n31089 95172\n52911 91390\n47332 71533\n73958 76255\n28816 75918\n3607 86684\n23667 27937\n12170 26414\n32418 75746\n8658 73149\n69391 89463\n3931 96427\n50854 62107\n48301 92049\n68434 75046\n7698 92874\n25525 68639\n25698 81225\n53822 58161\n47120 72183\n19290 32602\n17888 24351\n7939 87964\n25211 38922\n11767 94712\n24262 46069\n46489 62217\n32426 43031\n40501 53669\n21231 46952\n22617 31696\n8280 39174\n20011 44241\n28557 98074\n18858 55915\n61092 83646\n22229 25048\n77175 84508\n9772 79250\n69399 96003\n86453 95317\n74311 85495\n86350 91854\n36372 79656\n59854 89437\n19531 86571\n68807 87307\n21752 51454\n828 25465\n78746 90365\n26811 85099\n13766 15953\n80158 97190\n57327 94907\n11516 37676\n22805 70179\n84650 87043\n71234 82070\n1424 30226\n19501 54013\n2926 19125\n27381 29495\n47884 49005\n39354 76670\n29998 58979\n20057 33084\n3496 19574\n61914 63315\n23841 71415\n79711 90308\n32496 50823\n21235 68564\n71442 83476\n69575 94655\n27713 65578\n66688 76807\n82135 92881\n10684 80064\n7258 36908\n22581 70276\n60590 83758\n6635 25658\n79835 92725\n13121 66445\n16133 38725\n43413 55423\n32580 92396\n613 90361\n26100 54686\n41693 75957\n49369 66738\n26837 33258\n74 108\n12114 90479\n58672 67976\n42958 55752\n82014 93493\n34045 53185\n69038 77650\n5619 78945\n18474 92763\n13557 94169\n51513 72875\n32766 99117\n13986 58701\n35969 56847\n4529 17807\n24225 98011\n71456 75063\n21092 93919\n17511 76410\n52692 75360\n29759 40551\n28657 99548\n7253 93542\n4154 29904\n54435 54528\n50722 64403\n81137 92663\n70550 73717\n9973 58533\n85756 97089\n66326 72384\n41998 70202\n17089 22788\n41860 92399\n18902 39683\n22658 88757\n31495 58044\n58100 81064\n11118 12421\n35927 78684\n9883 22233\n777 78302\n19807 83578\n26514 75029\n34818 43860\n50128 61016\n39895 88453\n22436 54892\n47095 87180\n47721 79955\n36318 69178\n25601 51673\n84088 94522\n2204 82893\n4949 27287\n62289 98923\n83877 95351\n64624 88990\n26137 65906\n21315 98382\n55970 75268\n17346 36657\n51535 66179\n85772 97861\n13524 72914\n85560 86095\n25016 68181\n69052 91377\n55798 59598\n58392 58583\n46803 61368\n33247 74420\n80375 96257\n54353 72324\n42962 75686\n59373 73132\n47220 62361\n14162 40981\n33758 51220\n19075 45133\n5487 56266\n6672 54465\n48710 87846\n31320 58501\n72251 83474\n6035 74480\n70922 97857\n52888 58760\n44761 76961\n27648 45034\n90744 99795\n1362 24294\n64028 71664\n95284 98199\n25754 27940\n66969 96324\n42368 74066\n18293 48744\n11955 33712\n52202 52228\n14864 96766\n23939 55940\n28983 77407\n2315 76066\n8440 69820\n37493 60352\n47704 90754\n52104 73579\n38969 61223\n6117 35936\n7562 29956\n38419 68690\n2170 14989\n15236 34373\n3250 25614\n71924 85103\n12594 57273\n3485 15256\n7418 45851\n24239 96967\n20920 71427\n39261 77411\n33143 82849\n3131 37482\n34674 86126\n48833 63571\n38448 64331\n55376 61162\n2026 64840\n16514 42305\n23766 81526\n6944 26785\n5685 14477\n3756 25670\n35747 51106\n36308 40598\n5438 86283\n52806 64551\n37537 89285\n32421 65729\n58980 77151\n1417 6751\n19397 85210\n50167 90278\n82556 84059\n50449 57422\n10248 45841\n9836 50900\n14369 97504\n40608 55191\n52819 86261\n24805 89928\n55443 61137\n1917 17364\n63435 82131\n49915 82823\n26675 38556\n18917 47892\n44310 91227\n21165 23209\n46999 66232\n51609 81988\n7866 46998\n19748 39718\n5832 7991\n23555 94343\n1078 72009\n22666 86894\n28251 91536\n4325 16585\n9608 78769\n48476 59675\n9298 44587\n73440 84824\n39945 67075\n16741 64007\n54776 85755\n84950 97178\n78303 91536\n4625 80817\n60043 61451\n48755 99534\n54887 60991\n35283 47076\n43319 48379\n62945 89042\n52686 61856\n1604 98269\n22985 36865\n4737 99847\n14195 76514\n28767 92236\n13341 39292\n42290 87982\n30459 62891\n17582 79473\n45324 94534\n14009 89631\n5014 37894\n13244 79080\n74016 97144\n28459 33165\n17767 81857\n14309 36114\n3815 96472\n11720 34741\n9391 94871\n65373 88249\n5982 72986\n3985 33563\n32843 67769\n6056 47505\n53770 54363\n1573 76748\n46997 85945\n5352 11160\n18858 23501\n14050 32273\n40555 50528\n14357 22299\n21193 99959\n57020 58521\n40908 62316\n76593 96823\n66970 69276\n26330 58291\n45669 75252\n37778 63072\n11293 97914\n43592 77466\n5151 73707\n73723 94933\n52870 89714\n14729 24550\n37719 69701\n13629 88589\n36464 47429\n18054 78028\n21884 86304\n29482 36681\n45270 65284\n10071 79926\n7100 23793\n66895 80798\n63316 81722\n10423 18103\n15335 29846\n27974 73957\n18432 18917\n53964 74670\n9528 36072\n10444 56652\n79271 83711\n37346 57340\n79981 82580\n47219 73428\n67662 83935\n63557 66231\n2021 95493\n71402 73019\n55961 88598\n34058 66629\n66389 75682\n1672 74314\n841 1720\n43445 48641\n11012 77349\n55285 74953\n64127 80358\n58924 83443\n85021 87797\n45372 61484\n41300 59253\n17305 97648\n68 35031\n51568 98366\n7688 9989\n61626 73711\n31155 34061\n20209 71405\n6952 88234\n97541 98995\n36793 48095\n46530 50603\n79452 89716\n23614 79288\n11926 88794\n14929 16259\n30535 95124\n22243 22957\n27034 34436\n8028 50305\n23105 32774\n83951 86506\n9732 68307\n20400 51719\n27693 93532\n24479 98898\n81150 94112\n46704 90648\n39821 57979\n47407 60472\n4501 97302\n16881 78128\n7152 91612\n2693 73719\n19851 85945\n25710 89046\n44126 69208\n7136 21171\n42765 77808\n37726 91550\n39504 52711\n2211 78133\n19103 87422\n24052 72818\n2147 56789\n5156 28901\n40671 79389\n803 54705\n75937 88674\n93077 98030\n33862 39032\n26778 64567\n14891 52662\n54978 84453\n39480 83518\n26029 40349\n9008 55829\n64729 85431\n25319 57051\n9709 30846\n8102 70110\n28366 75126\n17226 47843\n93182 95369\n18497 58251\n32789 48521\n48510 72713\n38170 80056\n44470 58361\n82759 94351\n39178 47672\n4458 48798\n3349 7879\n18961 35052\n51756 99598\n72230 81594\n90838 98950\n29134 60377\n87082 89015\n18787 75386\n1534 46419\n23154 70313\n35844 38772\n9013 77483\n48377 75348\n22719 48475\n54600 79303\n65482 87881\n4292 6374\n51437 95499\n6176 44297\n6948 39159\n47563 79501\n9621 79570\n68143 95570\n74401 86773\n52199 93634\n16956 65244\n26121 28819\n73295 88292\n36117 53419\n11931 48390\n66532 99596\n67017 96621\n39444 50904\n20785 59793\n22114 35215\n4936 63634\n48030 64138\n31649 88399\n77675 81357\n71663 74772\n50515 72309\n267 90199\n4805 40633\n44103 87677\n20065 97163\n50253 86216\n7696 42144\n43468 96153\n47542 65288\n6561 88579\n19476 52077\n21884 78217\n5630 65665\n69229 92066\n34459 67283\n9940 37279\n25604 73975\n17653 83809\n26407 37106\n1725 42584\n53874 82206\n19321 52584\n51575 91318\n42573 79976\n7140 43532\n14685 27607\n25808 96821\n33831 62292\n13570 35672\n29291 58193\n43929 61535\n42037 87719\n42383 83917\n57582 78634\n26981 55308\n2490 19107\n25172 61621\n19507 25291\n55833 64448\n65439 89113\n15345 37064\n58051 70723\n39438 94952\n14403 97628\n26306 45875\n9102 16287\n2283 53647\n15222 56784\n39374 69006\n8130 74795\n39215 86840\n50838 96336\n5428 56827\n49946 52208\n4169 17945\n62010 88004\n51610 75094\n4609 15944\n25491 46040\n55428 95040\n5262 54780\n33827 78831\n1101 18953\n23908 55666\n64992 97266\n58297 91292\n25650 99897\n78047 84692\n20017 79021\n33800 97595\n68606 77635\n10517 58035\n36331 91284\n9995 63889\n20644 69199\n16517 26862\n9769 21241\n75735 92431\n5364 86247\n38086 47120\n94736 96941\n35875 60025\n45516 87163\n30407 72339\n87172 87696\n10393 29379\n28254 38291\n41851 89257\n87585 99602\n15341 94437\n52985 54147\n15471 64502\n23148 71000\n8803 31193\n92386 99636\n13270 31767\n33801 55089\n44178 90873\n32666 50636\n22070 41490\n28158 92708\n15842 86361\n38548 55868\n50757 57610\n24531 47308\n61746 78040\n24086 99557\n82307 97290\n11447 29547\n21243 54911\n47760 93269\n69885 94820\n22588 24330\n94880 97911\n57717 97423\n53300 79319\n38679 99325\n39787 65399\n22515 84067\n13027 59692\n76159 79010\n49669 68601\n48240 84336\n32069 57997\n28696 94262\n22425 41158\n27942 94668\n36878 43986\n13620 46906\n4861 12997\n31717 65207\n9197 27120\n72747 94195\n88900 90627\n589 41857\n1710 83588\n7555 37522\n32732 58827\n15036 42792\n8064 28754\n20970 30929\n33116 44019\n27532 43238\n4810 90547\n60691 67318\n24947 84383\n13544 95611\n24047 25696\n29703 39496\n61810 77311\n13009 57339\n37782 47290\n770 64908\n1487 5307\n16873 47265\n93253 98207\n50636 74262\n28718 88622\n12236 26479\n26760 54659\n23578 25201\n20551 94394\n64100 81717\n31503 62679\n27536 54538\n47079 83070\n15938 90976\n59731 67974\n1028 98201\n34485 48396\n13453 82503\n11785 99612\n2945 64008\n20350 95571\n7825 50383\n37849 84098\n51691 60694\n21793 25128\n5089 38858\n86012 95607\n38267 45640\n63881 74845\n22935 95557\n26932 80160\n1685 83254\n87055 92897\n28961 30694\n46015 98275\n11222 21792\n23048 53366\n37300 84488\n69457 75504\n30332 67156\n48079 50405\n27186 60022\n22431 45025\n44506 79382\n59147 94749\n16537 51201\n22906 70716\n50506 96855\n32859 80188\n26280 29128\n32770 67421\n41697 53246\n24621 82295\n40834 56701\n15426 67594\n9743 56092\n86518 94610\n33922 68080\n2810 75673\n73767 89466\n7392 66787\n18476 82020\n10776 98673\n16856 71980\n45093 56954\n22973 45408\n4454 81198\n37896 83794\n13938 99213\n3626 73001\n86803 92984\n9764 16376\n19467 79918\n4893 33368\n37046 47088\n15807 26028\n36997 92764\n7248 56574\n41541 41881\n26085 59863\n50685 73399\n45616 63870\n21840 85994\n33491 64571\n13181 28568\n37264 50334\n85349 89565\n79732 96273\n6202 44711\n8715 56465\n16823 57540\n19038 68679\n13948 74066\n82100 91391\n10239 33950\n86954 88197\n41789 64306\n16614 98560\n79313 96925\n39188 49008\n49784 59671\n28852 61663\n75742 79806\n77203 96257\n29621 45471\n11419 17512\n82937 83782\n58109 93757\n68283 79559\n59058 72272\n14274 40935\n52581 81077\n32421 50724\n51955 66352\n65226 99160\n6671 79463\n32626 38885\n70002 72771\n27880 84072\n21103 94757\n85150 87599\n32056 75765\n68688 81152\n26502 87209\n29768 67809\n43381 83645\n63119 66371\n23446 83534\n58662 80920\n40979 50803\n14187 48376\n35899 42778\n14440 85072\n74123 78513\n24965 86726\n41927 94964\n90352 95619\n46992 80389\n4022 85865\n85245 88103\n38770 45751\n50708 77844\n9157 40070\n59771 74410\n14443 60264\n60918 69912\n24392 47794\n60756 99237\n784 88773\n31513 83253\n36804 83540\n30040 47317\n16296 20214\n3785 77803\n14255 69736\n40914 63936\n1778 43388\n31377 85226\n10674 32627\n2418 65280\n59289 96808\n36185 61593\n30692 41804\n14725 57520\n3010 54390\n9723 71288\n58495 87159\n30715 47498\n55686 96954\n3463 82146\n15350 40664\n12321 85728\n16064 50728\n36309 55132\n20529 42316\n6669 65657\n30073 37900\n51810 69250\n17316 91466\n34292 87660\n53229 77328\n6914 58927\n29667 46354\n36146 48043\n5657 82087\n18599 73209\n4467 98261\n95062 99696\n4157 14982\n22032 89648\n4755 74500\n14997 59540\n74568 85664\n75748 82556\n7635 81633\n42742 78762\n45945 89897\n84263 87669\n30250 89444\n92267 94240\n4213 33931\n3497 77217\n39621 50935\n62390 80713\n21695 76386\n27389 60934\n60949 84279\n51275 71601\n14213 29427\n59352 97266\n10053 85954\n45863 68198\n33311 92160\n27392 59062\n2935 88230\n21723 64301\n26036 78873\n36568 45753\n46819 92356\n9091 33827\n44922 79462\n42541 53015\n41654 94118\n7942 23843\n38324 43012\n1988 42257\n65641 98116\n4235 74879\n77158 89543\n21640 30677\n7935 21194\n5428 9109\n36533 96794\n68030 86373\n40165 73359\n31119 41773\n47533 52044\n8705 78779\n53103 90174\n69669 82100\n56068 64746\n46424 61499\n11539 83768\n13095 16198\n78667 95379\n17387 68244\n23148 32660\n64490 77139\n25712 43248\n59686 68153\n20438 68599\n51680 99328\n61650 90833\n27612 64164\n39225 68870\n48093 69574\n80633 98496\n15989 38344\n7248 90342\n7228 7865\n34628 35352\n78486 85407\n6726 90310\n10199 72697\n44690 91859\n8453 76374\n36806 65704\n42721 88640\n41750 59023\n75578 89161\n53770 57795\n21266 45715\n44559 98973\n18195 29629\n38108 90789\n5451 54069\n13980 68209\n55693 89131\n18553 63498\n59133 98542\n20448 37572\n66632 72180\n50451 56480\n69913 71095\n11331 73933\n64775 82233\n65680 86129\n4595 85547\n13620 32404\n37118 88119\n47547 53733\n19639 38839\n8097 60867\n3120 30616\n47146 73748\n29814 76189\n16524 92370\n56064 65979\n40184 45259\n937 51419\n38751 64770\n25829 80492\n77431 94600\n1781 82376\n63732 86200\n47593 59865\n14583 92369\n30178 94631\n9433 82274\n37161 48314\n82620 99468\n43149 58046\n25888 71110\n47972 56108\n3002 24975\n46660 96927\n59598 64975\n43459 79577\n20806 78300\n58704 69914\n208 62912\n13575 76022\n32267 79647\n38254 71286\n14197 25893\n5661 62767\n42412 68470\n14297 34824\n23517 87854\n5947 27101\n18950 23923\n30492 33614\n38437 66678\n7463 72528\n16636 54595\n12041 91389\n56334 76703\n52719 82345\n15220 22131\n8286 42555\n17920 36168\n2950 99041\n78226 82628\n1689 7507\n75088 81325\n32832 81743\n7073 42282\n18737 96136\n8480 64026\n66998 75177\n65847 92543\n1841 3883\n4586 81570\n81495 81802\n31439 93377\n69665 71729\n683 52579\n46336 78395\n15187 44637\n20204 51682\n45539 64926\n8247 44509\n27222 89159\n90107 97381\n27317 98197\n26134 62602\n37910 90328\n8914 56074\n34267 35445\n6922 22546\n19405 55866\n22011 52914\n2249 99490\n53062 99975\n31268 51169\n29388 40197\n36462 40231\n32489 34756\n15773 19090\n20612 95520\n36053 43209\n21245 78196\n29115 72729\n27037 43905\n37346 79452\n40685 63107\n45370 94118\n31855 78979\n6205 13658\n37180 76756\n16024 28523\n2555 28876\n74832 75727\n57279 64272\n19365 22640\n19604 59547\n55067 71235\n11630 88087\n19779 57581\n36753 95317\n62431 75975\n24269 55565\n50207 97046\n7599 74429\n4703 25581\n4263 73488\n65310 68908\n62941 77631\n26245 43886\n68531 94202\n13628 80023\n75572 80096\n44895 63112\n8261 91973\n40701 93639\n25227 89821\n35489 63475\n6478 8939\n8220 15252\n43948 84096\n52063 71400\n16070 89169\n11449 85486\n45063 94503\n4113 71029\n18372 73401\n73367 89811\n59046 83467\n27363 59846\n70488 82058\n21546 99428\n8485 30214\n57522 69475\n66557 81523\n60845 74943\n28755 85844\n30717 58877\n23704 24242\n18655 38720\n38627 45859\n5089 13608\n30451 40482\n80809 87355\n10331 45692\n27991 90717\n32302 85950\n93312 96862\n14012 29625\n84384 94916\n27751 94612\n48366 72438\n58521 69282\n22472 60214\n49120 82817\n17647 94670\n35451 89711\n20171 64238\n33651 72551\n50161 88668\n75898 90199\n31246 85523\n46878 87441\n71975 85205\n61273 85101\n40433 74036\n9274 30473\n50036 85263\n18306 40873\n49806 73883\n23758 40514\n48630 81972\n71608 90420\n76606 96735\n54416 72970\n28489 57873\n25401 85646\n35261 67779\n47429 73063\n36201 80316\n36596 84518\n17292 83802\n80046 94146\n73842 97945\n75534 92016\n97017 99401\n4397 26066\n14033 73873\n887 59867\n57474 72993\n74716 84511\n2314 22480\n37845 70209\n35631 86838\n27538 70079\n60487 90143\n13127 21012\n21509 35476\n24731 84860\n42782 53937\n58424 61308\n79566 99465\n24291 65754\n38566 46408\n60496 97557\n79819 85631\n14038 67780\n14113 89482\n8682 52458\n15427 38224\n73869 98285\n26901 95348\n38207 62955\n8287 50633\n22377 32563\n23664 39635\n45210 91464\n56854 72240\n20639 23767\n88194 98478\n44576 95053\n1176 11723\n17065 79762\n22318 30933\n39828 99728\n40855 63143\n37305 85697\n19897 29959\n14861 19721\n45799 46485\n1200 84910\n5315 76569\n24830 89811\n60142 64512\n14161 32588\n52648 68669\n20589 25850\n10016 29650\n5306 18228\n29724 42780\n35736 67865\n28698 57696\n7261 82956\n77127 92738\n74822 93341\n68944 87424\n38334 97761\n18826 84796\n60381 90930\n49948 93055\n4745 54210\n25952 37895\n33712 47455\n15979 93468\n30668 96941\n10741 83667\n5895 9885\n13736 90236\n34751 54153\n71952 95046\n13821 92370\n24145 52864\n46400 76212\n7946 40162\n63662 70746\n7756 28298\n13353 35553\n7155 50608\n25227 76281\n21007 96880\n35670 42026\n44295 49121\n8445 9681\n26973 74530\n39520 79999\n49109 56789\n31936 33935\n50170 52238\n54153 64897\n73493 95027\n30382 42591\n6343 45923\n9097 87772\n6331 28432\n66283 75424\n10825 31500\n822 47828\n24121 28031\n86049 87585\n65068 88445\n25936 51720\n4599 65227\n20523 25901\n20170 48771\n13522 37320\n41054 90374\n5811 70461\n43267 62275\n76765 97882\n11936 16763\n11056 21696\n20619 70763\n2710 24581\n20769 49457\n41059 45693\n74013 77209\n5799 75440\n7504 12979\n50693 66964\n95 77919\n20190 90199\n34714 47562\n54058 75722\n25856 86736\n32214 80688\n20436 23111\n3108 70262\n35707 54845\n801 2706\n40318 53344\n85639 95230\n7796 66376\n24155 45742\n37389 96201\n70702 79613\n53371 71054\n9523 47122\n73667 99153\n16260 69178\n32860 45235\n70362 79320\n13867 73140\n45013 64357\n24446 95339\n28782 43557\n51857 94164\n11199 71294\n317 1003\n3167 61852\n11776 13076\n16728 92613\n61332 94642\n2318 46546\n7464 30618\n84934 90435\n383 29696\n2365 71057\n16202 98334\n43843 70165\n23922 54690\n35996 96666\n16943 55776\n14677 97587\n30668 84606\n8369 24483\n26155 28140\n34087 56698\n54512 60844\n9156 33728\n4855 86169\n791 87095\n27346 50121\n50957 75949\n27540 95322\n46240 77209\n63054 79275\n7516 68806\n4523 40612\n63559 89177\n7344 64966\n35478 70072\n29466 40900\n5993 57031\n4054 96352\n67 3250\n93150 97260\n13664 77627\n36726 67484\n35772 82631\n68057 87552\n7287 89972\n1763 63641\n12094 95414\n5771 21379\n84111 87312\n13462 49053\n35878 60191\n14717 93098\n71484 96561\n27572 62166\n31465 39690\n44650 94433\n45958 61826\n20572 86795\n25478 36407\n44325 47308\n35557 39972\n21972 62310\n6712 26454\n80292 95203\n24743 58811\n56922 66399\n34134 76241\n23364 37341\n63630 66301\n81055 91282\n72969 90897\n49123 68105\n71285 88216\n20674 68114\n81452 98930\n73003 82424\n74343 77805\n9409 71612\n10333 93389\n42527 54162\n39541 90051\n29933 91836\n18258 63591\n32938 65382\n18619 93567\n71231 76205\n55964 67232\n3238 42318\n38228 62396\n40359 75832\n3488 45868\n93698 95725\n12097 98532\n49325 97198\n21618 30085\n1154 43484\n87056 97585\n19904 73876\n59760 59833\n20610 85677\n6353 45399\n47947 82279\n41013 72870\n1152 58743\n12334 98437\n78953 95609\n79877 84832\n16327 52040\n15750 35099\n32197 97206\n8947 63576\n36125 97673\n64971 96031\n31075 84789\n28967 87577\n45981 59306\n33784 98778\n18991 76266\n13545 99905\n83763 91381\n10476 38309\n42405 42409\n14391 16864\n17777 96898\n21671 86534\n33877 70120\n77341 89642\n18204 34066\n63082 95777\n39554 76760\n29420 98641\n29507 92970\n22685 24273\n69903 81686\n43025 77776\n45652 67172\n72201 98236\n82303 88139\n50040 51610\n50666 55629\n16566 62001\n93695 95062\n17271 42836\n4707 76340\n40286 41561\n27582 39978\n32536 55605\n39108 59511\n17092 43564\n19293 32432\n276 65729\n4174 97907\n949 52642\n11210 42384\n4521 83216\n8489 65978\n39356 62161\n60702 95773\n42691 60697\n21183 32408\n62468 77074\n15140 35713\n2402 70498\n30885 87107\n10476 12696\n12856 96262\n75498 98213\n51424 68727\n55866 93624\n32894 69646\n13799 16582\n70211 87234\n29413 52182\n23800 48274\n4527 98352\n43427 98613\n28568 52545\n20307 29980\n83020 84571\n69910 84429\n19049 98183\n59899 66029\n23814 85407\n13560 47498\n7950 85180\n86071 96767\n4441 36940\n11912 25630\n18228 46192\n50473 65802\n7354 46356\n13891 68524\n19248 58566\n45121 62694\n8653 67134\n18357 65027\n56 76934\n71971 90040\n367 57032\n2120 2733\n33096 50477\n28241 29367\n44828 59007\n24853 78981\n66246 92214\n9589 42172\n709 13520\n35777 64066\n34016 79637\n5327 77070\n21656 28410\n40760 46415\n54218 90363\n17557 94451\n36727 41943\n58515 85550\n33946 63293\n22665 65673\n17619 70862\n6144 55692\n63261 77304\n47525 73613\n47782 89311\n34710 50580\n13005 16413\n31363 81245\n17125 91519\n20275 40560\n42857 49164\n34832 48895\n9912 36690\n24728 54521\n39875 63311\n7240 39248\n17474 70605\n3770 15593\n40303 77477\n30539 65658\n45413 57349\n49401 91046\n17565 23051\n29776 94106\n68569 96945\n22904 99219\n74457 92240\n7225 71777\n12790 85207\n29956 91081\n56970 86493\n41543 87623\n18756 50799\n17594 83123\n72256 93906\n9840 16236\n11114 79015\n78294 82875\n25752 77357\n15488 66387\n17345 22131\n17421 77245\n65142 71709\n44821 50397\n8195 88344\n3286 9672\n7869 87537\n1568 56563\n12883 69528\n28298 54809\n69534 83885\n36665 96023\n80897 91236\n73605 88339\n24349 45070\n14311 44119\n20325 36910\n27432 36277\n62091 88808\n26927 73929\n20151 47311\n14716 65025\n24131 26987\n15706 82917\n42617 95113\n632 94036\n84998 88451\n15777 87910\n2244 50126\n67559 78536\n18418 60686\n6989 61621\n22811 78042\n6464 31714\n73199 82335\n13809 81946\n56296 97628\n71745 78314\n87254 92757\n16784 28441\n31698 80430\n8315 17707\n22010 38090\n27987 91384\n14573 75960\n43440 44074\n13462 77643\n66093 85220\n58095 90624\n44515 95559\n27626 62357\n77465 82468\n33539 99217\n17839 59541\n25782 60098\n17462 85261\n47028 61585\n31472 47160\n53759 68259\n7859 34685\n11763 87997\n24861 65350\n12091 51795\n46287 94295\n55789 67465\n3169 50855\n1075 27907\n10692 40472\n6552 56900\n34073 58338\n30769 72632\n37081 96979\n24934 33662\n82640 96889\n4193 9091\n15888 89425\n82128 96360\n43442 49984\n14128 32321\n11433 42595\n11935 32956\n48315 84201\n24475 37791\n48866 93870\n21377 55460\n21134 67489\n5423 12415\n1429 6304\n989 7644\n32208 86834\n17078 89503\n18545 21229\n41755 50062\n40468 71167\n11562 76916\n73492 77562\n14235 34193\n16572 93907\n31462 57872\n17211 19286\n13630 22828\n36146 72607\n48093 51535\n6017 44796\n55437 69714\n97103 99023\n18271 68426\n498 65676\n424 20870\n19427 63658\n13696 67212\n21872 39612\n34127 71360\n68739 81235\n85 69810\n3563 32804\n2342 13869\n56811 92737\n23865 69395\n4039 72786\n23241 52634\n54909 87679\n42071 44389\n11453 59818\n2305 45696\n34726 60799\n23484 65586\n47425 53206\n39750 91080\n31922 99247\n12733 38286\n13127 14102\n12204 21558\n10866 44680\n23084 61338\n76591 91616\n45516 67434\n20810 96126\n4182 15284\n30661 46142\n26607 85400\n58628 67612\n46173 82405\n41808 48123\n46619 72759\n23397 92335\n11402 30895\n2520 92287\n4165 14792\n10441 71437\n43230 91953\n16647 31871\n13945 25681\n22780 40643\n27034 80033\n18998 65643\n48378 61252\n15036 43728\n21230 67563\n47462 52692\n53566 67383\n58777 90102\n720 81524\n2245 67595\n60812 62005\n27224 91657\n43019 64969\n48294 56247\n748 50884\n7927 59569\n8962 52053\n78870 96055\n23610 98814\n36221 40329\n6558 42421\n27073 60715\n28719 42336\n45788 72914\n33231 56686\n24833 52425\n47404 94612\n22241 82776\n62037 68535\n9028 18855\n88239 98949\n881 7928\n22310 23120\n39433 56744\n16008 70751\n85949 94920\n38429 39038\n47991 49048\n35896 89933\n17881 49086\n91328 95795\n14050 37530\n2909 74293\n5485 49085\n40216 72707\n8391 47331\n1579 85652\n92033 92862\n22299 72424\n12109 30745\n24440 66337\n42806 72845\n32000 66200\n40858 68543\n72472 72659\n33864 44345\n14790 58717\n43012 79960\n34977 87056\n857 10056\n74876 85818\n6005 22413\n35072 99998\n32543 61016\n46680 61762\n11502 68430\n47099 76373\n8126 71676\n36503 47446\n10686 45292\n46085 88146\n13027 14503\n25928 45629\n3599 52283\n51481 57657\n9111 16407\n23367 61211\n72198 89168\n41051 41270\n70040 95422\n18362 25536\n27176 35089\n60021 81882\n34483 40850\n39958 57700\n43580 71559\n17779 93376\n19204 43900\n8229 51124\n28005 43458\n49372 68521\n3486 27353\n5305 76039\n14152 25986\n31243 77030\n4212 11291\n53831 61715\n50278 61268\n53166 76297\n48346 68777\n59420 93945\n2689 9564\n22237 25769\n37320 71233\n5907 40249\n84021 85928\n56043 57992\n17613 67493\n15431 55969\n30076 41114\n7893 41353\n74539 85963\n18752 63512\n32074 55214\n33731 49250\n16297 24310\n20045 77705\n1557 61556\n47004 48172\n17043 32034\n30723 46966\n37958 59012\n13447 81974\n39024 84775\n2337 62563\n40441 70004\n9428 51604\n32896 90197\n18565 20386\n36105 60373\n8354 47901\n56789 91631\n14375 88855\n29575 75639\n57402 61553\n6901 24742\n34904 48429\n39527 79307\n37032 67977\n35928 96953\n35996 66420\n78070 82549\n5577 93428\n27445 81558\n53068 67532\n10812 61763\n2108 28372\n1733 64513\n54741 71941\n53945 82077\n25409 50100\n7908 59507\n45528 90074\n16450 59232\n56960 99400\n6261 53900\n50850 59612\n63265 94353\n37705 58170\n49004 69063\n47337 56276\n47921 87395\n21362 24743\n75715 93950\n12046 18921\n52804 61457\n18809 44153\n63106 73932\n56634 94939\n6732 88773\n28928 44280\n14800 70728\n19441 45555\n72133 93636\n68619 76530\n51096 73163\n13239 37228\n26561 71991\n40947 60954\n62871 78527\n11730 78474\n30526 47816\n71336 75877\n40726 61082\n13652 38806\n51278 68620\n3310 41166\n39266 86637\n6397 90134\n36745 68060\n57205 65025\n19071 37827\n35104 39857\n737 11537\n38133 87538\n3866 35287\n5650 67988\n4289 85977\n69908 71455\n54342 89537\n20990 91615\n15152 52366\n2504 28743\n32040 97956\n33008 63710\n76386 89853\n57749 85034\n21749 52024\n3846 88086\n67558 71822\n82581 92699\n16885 47716\n32434 47588\n18475 92098\n70046 80008\n43237 95287\n44086 96757\n8091 89006\n60273 85775\n50465 95330\n59054 68893\n4199 20170\n42720 59336\n41457 88915\n22463 51698\n7481 82305\n40195 57578\n10511 84332\n64582 75069\n24825 75337\n75628 83995\n19015 49959\n8603 41681\n61935 66205\n34328 71968\n30017 41525\n43906 91115\n6776 57026\n15418 54170\n11213 52504\n1828 73466\n77304 88048\n22479 40299\n15498 86108\n73230 91899\n49929 92881\n17259 62765\n63918 68268\n14330 87493\n48587 68411\n55051 61358\n84049 90944\n37646 42093\n66672 98444\n83706 84855\n25971 74379\n34534 85393\n58621 59138\n29996 36529\n17019 93819\n9633 34063\n6500 76092\n6822 69111\n72281 87361\n44438 78188\n74846 83240\n25878 52641\n47525 78405\n29955 95480\n67475 83287\n64672 84197\n63789 76955\n23863 64144\n13575 59006\n37553 70690\n18719 50629\n67588 81626\n81155 98145\n2744 26547\n34808 41488\n30703 30892\n61601 95347\n48706 87398\n48441 84999\n16353 35870\n59456 97756\n30513 92019\n22057 56157\n45898 77236\n51232 95625\n5658 87315\n76672 97664\n11366 33512\n31949 57560\n14423 96473\n17544 38063\n39058 53372\n42856 72994\n1877 89952\n32239 90942\n2268 70288\n15940 62297\n59673 75521\n40681 87546\n56540 93832\n19361 57008\n7685 96196\n21583 68697\n23428 52982\n8718 76488\n68449 94144\n13398 95520\n54413 67772\n60366 82377\n5500 49002\n65219 89451\n17078 25865\n9593 37282\n21946 83139\n39096 61028\n88049 91802\n7048 71849\n80799 91334\n52560 87818\n72934 88282\n21686 23430\n18794 34428\n802 34671\n24310 53628\n3605 46450\n22932 64436\n1247 90123\n55883 79487\n6857 18275\n1315 48135\n39286 50661\n40582 75054\n8305 93651\n49686 92246\n83791 98119\n1343 77273\n19484 52500\n72220 98102\n16076 48233\n26449 92470\n40571 50232\n5306 27888\n19228 20051\n13715 60051\n62401 74791\n19899 82414\n64089 78576\n14586 44915\n17771 73324\n54623 80502\n63623 95392\n79440 82326\n31786 96709\n24619 39113\n25016 85721\n66036 78491\n52239 67079\n34956 44007\n49517 98861\n28019 97494\n47218 72784\n58254 78977\n3737 98945\n29827 71219\n7815 67477\n21414 99162\n27797 74591\n54933 99394\n18404 70599\n5203 21155\n4770 21076\n4813 7226\n55929 57419\n70238 92228\n14362 90232\n56617 66392\n10932 80736\n18339 85583\n25746 48892\n27916 63588\n48357 69410\n51307 70481\n42354 54176\n12543 67833\n57579 85647\n50551 74075\n67567 97171\n4670 94940\n32632 33411\n2611 10486\n96229 99633\n96623 97270\n29245 34822\n32165 65270\n31279 67644\n16962 74201\n7040 53864\n22157 49089\n41388 67828\n11102 95355\n91996 97937\n23373 30386\n46068 48156\n42388 81446\n6538 37187\n18831 43058\n9554 42596\n4806 37944\n6639 59355\n56017 71646\n58603 62883\n90011 97735\n45559 77235\n28942 46795\n30210 68702\n1330 99915\n26860 47394\n19776 70017\n7665 74091\n13282 60635\n73689 74089\n30542 65802\n77958 84363\n53010 72204\n22945 69282\n86823 98772\n58612 99096\n54269 99964\n47166 80771\n42792 82007\n73823 78349\n26190 87015\n4126 76694\n58660 69765\n19980 81534\n12534 32544\n33956 90589\n7514 31747\n79585 93211\n20075 22981\n1208 56485\n10053 98056\n2326 71693\n12422 76126\n31616 63727\n31372 55568\n22445 94376\n63154 80115\n53030 91351\n70450 73664\n18664 58673\n14780 32975\n73770 84968\n17390 78395\n23449 26926\n38503 48643\n1016 59215\n60224 77499\n32666 75074\n12776 77624\n36934 41472\n17850 86553\n32549 81160\n71803 80749\n77325 92072\n63642 65266\n70306 77536\n3083 51025\n5068 70080\n21555 43389\n13875 76708\n36648 59122\n44892 53076\n51332 88457\n74483 83163\n3267 54031\n53860 58418\n30350 79846\n21681 23913\n18013 79681\n4219 7030\n28788 91681\n41457 96449\n6555 94492\n72780 96283\n65808 96577\n40450 73603\n16660 60623\n47491 63118\n31283 57084\n43164 79012\n3522 44686\n31007 59280\n91827 92081\n10254 59090\n7728 31987\n17840 42182\n32197 91951\n5935 71971\n3807 12210\n13447 44411\n65751 67651\n8291 83000\n58748 90168\n63933 69414\n33180 54500\n18706 56449\n53732 94547\n76872 97246\n32652 57817\n84140 95966\n25170 58948\n37349 96378\n42110 72604\n2008 40246\n16908 52484\n66087 94575\n40646 50769\n61854 98515\n41418 51461\n73000 82838\n3893 22296\n47699 99201\n6672 53858\n41550 81062\n51742 96397\n2716 59246\n25322 87703\n37247 42343\n20434 29896\n69686 72480\n28869 67510\n84780 95625\n4736 21701\n48052 99935\n7241 38503\n78124 82130\n10540 37177\n54288 54772\n45594 92787\n50293 84886\n35452 75163\n19189 59311\n80057 86721\n58396 95715\n28552 30751\n34627 50164\n7738 91233\n68113 79461\n46176 74189\n83011 98003\n54302 63985\n49408 91945\n83512 83583\n33120 38582\n42816 70398\n51151 53110\n25963 74097\n58690 86023\n20340 43952\n52655 88468\n46880 50029\n38197 81320\n21048 94929\n39777 60061\n37010 51935\n80162 85893\n44006 89671\n21309 73150\n18390 88494\n71612 90679\n21246 85327\n53011 65281\n48422 61145\n29989 83279\n44421 90855\n15169 87133\n79506 94197\n66477 97065\n39912 72927\n40097 79027\n84302 85291\n91769 92210\n8072 92191\n46568 63766\n27913 60710\n52219 55028\n33932 79375\n42532 92880\n30051 31744\n52679 67891\n51310 86369\n32984 75311\n40109 56936\n401 17662\n56990 77145\n74010 97055\n63690 67554\n10757 20571\n14525 21987\n81231 87848\n32478 78927\n70536 74919\n1676 59836\n83065 90643\n40476 69107\n17943 41524\n19805 82925\n26563 44378\n23431 94404\n86673 98780\n64851 95154\n40851 73571\n36035 97131\n12331 34714\n36594 96272\n57400 89453\n38342 58140\n30153 78084\n20368 76455\n15921 88837\n70099 79017\n5402 70666\n51501 65911\n47965 86931\n31070 98478\n51091 53104\n4603 53753\n14023 48279\n33409 86247\n22286 31789\n18197 39236\n13245 45767\n27059 40693\n37605 40261\n41227 85621\n27978 42565\n2638 44964\n69270 78918\n33714 49882\n1394 18460\n10213 87113\n59230 86737\n4125 11698\n33754 46799\n5361 62665\n32244 58050\n5430 90914\n57507 94956\n17334 97321\n33783 80616\n9332 93778\n44681 81726\n1002 1209\n13760 57510\n30950 54268\n6805 96020\n16012 47025\n54314 96181\n52747 69767\n41930 45197\n1116 44158\n36998 91250\n46222 97315\n83640 84812\n46165 60623\n11311 82564\n32467 78957\n20669 55762\n55998 63516\n4504 10205\n33581 96609\n34556 78479\n13577 73892\n1912 37132\n4997 79751\n48861 49571\n14000 85133\n52903 96391\n27730 45763\n21645 23416\n15455 81755\n7440 31284\n18686 21788\n43644 80164\n2050 61020\n14664 73593\n11267 99045\n34493 93056\n21612 41078\n14002 94933\n30758 39684\n5785 9851\n3349 21096\n59601 95730\n93136 95535\n43585 76102\n70348 94935\n35213 85944\n2799 47398\n31185 53457\n9358 87437\n42413 44620\n45934 54982\n80243 99119\n18314 63159\n58229 60682\n39806 67756\n44650 64173\n16513 96971\n11832 31412\n5491 87837\n3135 29393\n7100 52175\n24284 76056\n28197 50267\n68541 78941\n49982 68018\n55552 57213\n32413 99867\n30601 44387\n60046 86819\n45056 56149\n49592 88056\n23373 77525\n226 85718\n39827 75140\n1334 29601\n9284 12061\n2582 24635\n10223 17385\n44923 52323\n45429 69514\n14502 50707\n91892 94923\n65930 89725\n22297 84140\n90860 95351\n56582 73652\n27695 83089\n38311 92447\n49734 67714\n15148 91348\n71996 93576\n10946 40508\n34993 98979\n12694 14999\n56574 59973\n10070 69379\n160 29934\n14098 20727\n9132 38017\n47068 84400\n69021 91393\n161 67179\n32700 45454\n2949 96196\n70540 74518\n32800 41846\n13616 60807\n5208 33445\n7597 88953\n54761 90428\n46059 59240\n50461 83013\n51185 59951\n31507 48924\n28341 78794\n25041 61951\n1808 89034\n51360 80610\n27100 33150\n28368 63536\n26525 85954\n21845 53782\n28579 86204\n37011 97845\n42375 45516\n9705 53990\n44456 77477\n54115 62584\n12787 22502\n5139 30404\n70555 95045\n24612 94758\n43907 77016\n58001 77406\n1667 49898\n3773 31376\n21878 32798\n420 5173\n45041 85731\n15367 59466\n13414 62239\n12460 17060\n37627 68796\n26200 98451\n2518 97357\n18316 64839\n24217 93574\n3903 47335\n49738 94360\n13733 54592\n13264 53863\n32261 34313\n13304 35269\n11422 27570\n47855 97290\n17996 82667\n17923 56716\n65266 72043\n58857 86233\n18357 37739\n29059 41047\n12449 83923\n38554 83852\n32822 55253\n39257 89415\n23069 74495\n16418 24661\n20630 77188\n20499 84174\n28104 54963\n24880 61380\n46932 72029\n32426 90095\n6508 54545\n74018 78675\n50326 65601\n34899 56040\n55646 60513\n68566 95442\n19009 34934\n50453 56054\n52589 81220\n5541 82358\n26316 51641\n43566 87532\n40536 80998\n43263 90313\n70645 82025\n37320 97163\n63253 95926\n1072 5354\n97229 97978\n15791 63601\n18023 67272\n83825 86887\n13728 14059\n29866 87330\n25099 56833\n11162 30456\n27955 38010\n3340 85785\n26623 40896\n40400 48773\n27737 49488\n1314 93652\n27233 49512\n16553 35051\n10797 98489\n84169 95938\n11395 73422\n19236 78805\n60292 65771\n18830 38244\n69769 86181\n24070 92596\n10005 23080\n84849 98878\n47015 90134\n72294 86058\n12443 46230\n67862 97474\n44397 49066\n20015 82507\n16297 55005\n26952 63028\n18676 21580\n58977 87768\n13554 89601\n92509 95026\n36074 96606\n13928 47247\n18057 74536\n41111 74559\n70410 81484\n71303 90616\n78649 92362\n19044 45524\n21993 99210\n11373 29793\n1747 71191\n44282 94250\n1976 21694\n30537 66359\n10017 54647\n42253 76335\n34879 76426\n7027 65977\n24533 41333\n15414 41621\n15773 99276\n46837 75372\n60569 69889\n28636 59960\n21449 78060\n61407 68064\n28228 37982\n32210 69267\n42306 69140\n4977 96335\n32429 91558\n10712 99455\n55612 80751\n40762 91300\n55846 70120\n26017 83395\n70367 91635\n9151 22794\n12073 22819\n61564 84666\n26878 69679\n51871 92061\n15395 19049\n10346 38632\n60974 64247\n5588 72633\n48170 89194\n4354 53421\n7110 35104\n48729 53392\n54315 90684\n45344 90657\n61691 77243\n49198 95461\n44153 56368\n62064 83736\n59668 93169\n14228 94936\n9081 15821\n57507 80935\n55470 61722\n8562 25672\n22040 98941\n23248 29987\n10673 97096\n28158 63114\n58416 66146\n13400 31883\n1347 33241\n19302 86651\n4215 55938\n86313 96949\n46418 76227\n65276 67882\n875 7449\n47799 77633\n32469 46583\n1882 57721\n14633 48942\n65682 91910\n83071 86774\n31410 75647\n38983 82615\n47835 54675\n5883 20503\n2223 99040\n19308 78628\n25503 51816\n60010 77586\n60219 95301\n60113 70076\n51689 54467\n63956 92982\n35691 40726\n29568 60337\n33328 43028\n30516 54459\n2885 65809\n73711 90017\n31975 93511\n52779 94840\n44118 72599\n15299 78685\n4611 49228\n37535 37879\n40438 87985\n29185 38922\n12669 41031\n2226 8423\n52655 80716\n14007 58189\n42435 69748\n10082 51290\n7140 70379\n13456 50027\n30659 74208\n3837 95258\n9111 75320\n36797 44919\n2588 64406\n9782 27145\n65185 97354\n51198 66673\n13566 27133\n38256 55109\n24996 47171\n64876 94881\n19399 34610\n26601 31696\n20212 46518\n52422 83709\n22874 41850\n1000 62759\n39809 98830\n44467 96889\n25546 38813\n880 64673\n16523 19760\n73656 74974\n7409 41283\n31917 36187\n33073 93878\n39433 92864\n67823 68015\n35015 76012\n7525 91027\n24655 43299\n25380 26789\n20937 26412\n5370 21096\n7979 56043\n22386 91128\n30236 56854\n6222 69666\n72567 81650\n5159 62107\n51549 59951\n32397 98342\n2819 90618\n13732 68869\n44913 47882\n13372 13977\n35925 78148\n5263 32780\n8454 32293\n30953 39385\n38324 84488\n46917 50696\n13822 66644\n71545 72964\n60422 68705\n15078 61061\n2079 66549\n26869 78038\n13997 33866\n71053 92016\n6349 58331\n13593 44978\n35321 70432\n26506 39471\n23042 30995\n15248 68495\n22593 96080\n37684 56898\n48722 67966\n6723 55256\n61522 81944\n1650 64066\n31434 91374\n17130 76513\n18824 89124\n22612 68192\n25128 63558\n23921 37159\n67763 69675\n23413 97899\n40520 54469\n37133 58619\n79705 85390\n2928 62339\n15397 32805\n20782 33369\n17449 81232\n14448 48989\n4882 26610\n53275 83701\n16262 32497\n4979 30270\n35862 49308\n32740 51851\n16824 81219\n34969 53661\n52867 85790\n22712 74590\n38634 48076\n50654 94011\n7948 79944\n12604 41205\n39195 97176\n31687 34444\n51783 77050\n15088 56264\n37132 84096\n40267 57775\n28182 94490\n24118 86142\n4020 17135\n14251 76738\n38751 67963\n65660 73087\n45075 55220\n16375 21884\n8121 42660\n27527 82219\n25197 83432\n48783 71581\n6145 21471\n26082 46415\n5571 58381\n67470 98173\n73350 92376\n26126 97921\n56417 91546\n11259 58367\n43251 45405\n23321 33179\n3360 12942\n20187 65729\n33201 75657\n8724 25704\n19293 29768\n22500 90753\n32197 75573\n26176 62810\n40451 62611\n19173 57864\n67984 84323\n43788 77405\n12945 48923\n43829 62474\n12095 71251\n66551 94282\n11702 19118\n58303 72905\n17777 73104\n33904 41983\n11650 74556\n23843 51866\n24778 96991\n26840 63332\n70637 90559\n45192 45595\n28862 73918\n28400 57414\n15011 17669\n4810 11263\n26403 41794\n9039 96070\n46807 51075\n49393 93581\n37242 73284\n13295 30848\n7410 94797\n24199 71863\n33989 66936\n3581 8243\n19116 72669\n49915 61138\n47343 81701\n15889 66208\n12428 35392\n677 36051\n55337 91673\n1015 84832\n57518 92133\n18555 79263\n69820 70156\n8116 37461\n61018 75739\n35023 86101\n26942 86619\n71410 71790\n52430 69056\n32474 48912\n452 98162\n32247 33933\n22703 49588\n53496 82271\n9503 92975\n32755 57393\n56966 92747\n31089 61707\n3495 62623\n59312 76367\n5600 92843\n33078 84804\n3261 56281\n78596 97222\n50833 75573\n34834 64955\n5457 11742\n34118 43939\n16374 43251\n32058 80548\n11315 92346\n4681 28422\n49611 86933\n24729 91028\n38888 44301\n51969 74047\n9250 14542\n41122 68837\n12627 60820\n10625 45531\n44681 80962\n88595 98820\n3871 16489\n44390 99750\n19745 45217\n6968 71036\n57266 69140\n21505 43412\n1525 75560\n11569 66536\n71477 99687\n1194 27112\n33895 47603\n26388 31731\n38778 94768\n35667 49747\n27406 82575\n3206 5166\n19487 59416\n83509 89852\n4597 92074\n20930 36276\n6110 65310\n67732 98396\n23764 60431\n24155 55121\n27949 34971\n26875 83121\n45623 87205\n20431 48231\n5051 17395\n55845 99293\n36029 55256\n58228 83081\n54827 75198\n17301 84269\n28992 39499\n18052 26255\n13118 80751\n14226 18601\n16836 80917\n61763 76477\n10764 84779\n17335 28517\n75217 88348\n5593 95115\n54216 67165\n23114 68965\n12741 83517\n26020 61821\n42782 58999\n21363 67023\n13771 96087\n6682 59109\n9600 80980\n26167 46452\n5748 26470\n7313 67121\n48094 80097\n20051 56904\n32733 90494\n55962 86839\n20771 64294\n25651 96434\n30465 98719\n28291 87421\n29572 69278\n64305 80631\n4685 7001\n10162 63174\n4024 12041\n39787 75779\n3958 55487\n3826 89038\n48462 97412\n14059 52470\n78076 82594\n5117 92176\n39156 66035\n28247 42101\n13564 23839\n17153 43068\n27649 78247\n2465 32452\n39722 69515\n66160 80482\n20930 54466\n6666 18725\n78196 86675\n5126 56346\n37690 58892\n43649 93327\n74927 75172\n12155 41336\n830 9581\n60407 86840\n41949 76096\n53072 68984\n3785 65427\n78434 98213\n68765 85299\n5376 28896\n27775 73662\n79044 85395\n31042 56724\n5393 76512\n2169 39792\n41307 52884\n56683 89179\n67587 88626\n6804 43031\n10875 47408\n16692 90404\n53710 62062\n32177 65078\n5198 35762\n18598 93710\n4004 38715\n15940 32694\n50158 68608\n19662 33953\n27106 59114\n89490 98484\n53420 66800\n44405 57219\n6265 34380\n62046 84048\n72248 75228\n1057 56887\n3106 35608\n12148 90172\n47321 93389\n73223 82178\n7624 95401\n10445 24697\n19647 31358\n76783 79212\n3400 46841\n8998 70603\n20194 74672\n26399 73258\n25792 29798\n31860 53413\n16200 31313\n14000 20345\n19347 37835\n24953 91622\n6191 63716\n17306 79533\n26243 31872\n2133 71192\n30986 93171\n9885 87810\n39896 42131\n12617 75341\n33655 84229\n62262 81309\n16580 68153\n55533 84004\n8692 47682\n36644 64053\n39823 91684\n49510 93777\n10495 83595\n8206 21263\n18085 63806\n36031 37812\n27443 47650\n8836 93798\n31913 90672\n14459 44448\n63041 73238\n8224 99138\n31693 88305\n15299 56036\n14021 63143\n44502 45469\n72064 87271\n9452 72317\n41882 63074\n33327 73818\n4141 60614\n49875 87859\n48878 91821\n31073 41251\n14397 77188\n155 41241\n52430 81233\n18981 55450\n67758 79238\n6519 67312\n5973 12771\n53667 91530\n61438 95566\n18547 23612\n8537 81415\n52503 92023\n17494 39718\n52204 64374\n14874 16800\n51414 72674\n33842 37647\n48968 70257\n37658 94990\n53453 99190\n80434 93296\n77328 79278\n93269 99966\n59395 88052\n48116 55307\n53818 83632\n39094 92012\n59233 65034\n2301 56454\n70130 83601\n44738 90972\n25335 70627\n7310 99815\n16181 94858\n57362 66389\n36537 41159\n79717 81337\n36248 55417\n67704 81026\n53599 82841\n50353 96240\n16379 60193\n43984 86789\n11646 30864\n12334 37665\n2934 43668\n52784 96125\n63644 90295\n31420 48904\n52946 71743\n72532 77007\n58829 78515\n73868 82471\n77502 86254\n64983 70013\n32122 84238\n43010 54320\n28520 63092\n31449 97229\n14368 76324\n11941 28731\n12320 16482\n38820 57595\n30860 81900\n30073 91239\n43820 91699\n7101 53281\n31838 69744\n7248 62795\n73871 98858\n13906 45969\n24391 91049\n29728 71011\n59267 64852\n79326 86975\n51799 65290\n26739 54142\n10414 38746\n8036 83525\n1629 33092\n30602 62297\n47594 59726\n61070 97952\n44176 91186\n55802 58503\n11025 70709\n8607 98813\n34698 35967\n46936 56510\n16852 72742\n6009 90101\n47816 52458\n20054 49615\n25385 91941\n34410 68015\n12018 47475\n30752 91605\n408 37755\n70193 96192\n42152 97872\n30220 46619\n2303 70532\n9848 70336\n35508 79956\n13813 35097\n17481 90702\n86936 91335\n67916 93171\n61895 95450\n24715 41482\n33548 44281\n34091 47055\n50173 82125\n9082 50276\n32727 61916\n39660 89661\n22130 83294\n48050 56649\n57878 67800\n53819 78588\n87160 92909\n51401 80598\n54205 62387\n6674 29863\n26355 65884\n6520 98647\n22205 56279\n1406 82176\n41246 48438\n71296 85924\n5720 82955\n60130 63511\n83206 96228\n39155 61631\n59818 91908\n38122 91443\n29700 83807\n28464 68186\n77602 89238\n30069 54870\n11609 29146\n16777 73422\n13104 64295\n86303 87300\n45740 79500\n45095 57046\n92543 93357\n70465 77550\n80722 89360\n6104 19593\n22957 66986\n68218 96373\n23660 93143\n36907 72849\n19533 27824\n75897 95740\n31259 38421\n32693 49803\n51104 96915\n23899 41718\n10074 91018\n3173 82958\n68715 94941\n16272 94195\n7595 70989\n85117 93343\n47135 68501\n39223 63567\n5610 19543\n7763 24039\n22608 24947\n53177 90930\n5002 63501\n33166 98463\n22977 57173\n3867 47327\n4006 57613\n41817 44698\n4802 27083\n1730 88570\n9478 88047\n22701 91507\n13753 39963\n52558 56799\n50506 86138\n60467 61074\n6956 17101\n57287 59541\n30935 49176\n4067 64513\n59249 84476\n2361 90663\n40489 88972\n9516 69546\n8330 36765\n82174 88479\n8425 26398\n5688 99325\n48866 83766\n51808 74554\n37370 74892\n49017 92010\n40658 50249\n26990 72812\n34558 86280\n2675 67484\n23869 94057\n52900 93605\n23341 63244\n10961 42776\n21502 46377\n70265 95212\n56324 65644\n23826 44151\n58755 71786\n540 60021\n27759 46226\n61051 69591\n60335 66085\n10664 33405\n26321 93292\n38901 88935\n37754 76314\n23293 23941\n60949 84615\n13790 31180\n43280 86810\n50427 85533\n82693 89812\n41 67101\n72444 79189\n29270 56798\n38209 74527\n8042 19420\n21354 34350\n73660 99093\n69814 70784\n29513 50031\n77533 81328\n33092 47187\n8751 56071\n13402 72128\n76022 81867\n63168 63583\n15334 51941\n74611 95878\n483 88674\n17472 57107\n41973 94914\n3710 34830\n41114 91210\n31069 88827\n49518 84885\n53666 73751\n31331 65665\n11626 93875\n22057 47053\n43705 75521\n37271 51885\n18386 62338\n6123 32810\n17831 78213\n21681 23488\n30710 92809\n21966 27491\n71194 89635\n40709 70610\n32158 32288\n57433 93911\n34645 84763\n18271 25238\n1363 65259\n46537 78600\n54675 69775\n63819 95421\n53192 60894\n2186 22114\n63551 66633\n34870 48514\n41567 53739\n9427 93185\n2374 57313\n68569 81363\n50349 80895\n48345 58994\n38178 76848\n11374 90928\n73229 85841\n31951 32948\n27973 91702\n91645 98459\n65397 92732\n30517 67327\n86539 94517\n6271 93224\n29038 31903\n24140 38658\n43022 43389\n53408 99546\n81331 87157\n19773 69664\n26368 31987\n12001 29504\n45502 95819\n1722 80387\n78026 97360\n19909 90517\n44891 73994\n8698 29246\n36956 87291\n73121 82524\n19609 55732\n3869 31668\n3436 80365\n73442 81100\n2931 44457\n30365 66349\n69337 93828\n34164 67349\n56156 73481\n55855 74571\n52718 99701\n77650 98532\n67387 89316\n18283 80799\n15306 64072\n16758 86226\n19866 98067\n13187 22213\n2040 22376\n51793 98104\n113 55963\n4936 30225\n6013 58168\n14490 24916\n10479 43305\n41056 49692\n67624 77988\n3666 33253\n21332 25816\n2192 31506\n42941 57181\n83127 99621\n45370 99596\n20733 56001\n32957 95981\n13486 25800\n19966 50023\n15266 79459\n2533 27059\n12104 22074\n74260 91180\n20409 36138\n20599 95512\n24707 54718\n30564 80390\n68927 74564\n25304 40592\n3171 68388\n32291 51619\n31863 72775\n73859 88592\n12662 88511\n6633 18611\n50476 87922\n40012 64626\n16626 82245\n25434 74504\n60075 95570\n57936 65704\n23853 59528\n16442 77905\n12268 82467\n1850 14684\n27977 38146\n58107 74688\n30385 36427\n63141 91830\n7540 78241\n3794 14469\n4637 57604\n63938 69306\n5306 65507\n69600 76259\n45653 52335\n10629 11460\n3471 49392\n23348 61018\n71775 95577\n5356 22725\n21938 83566\n47250 96563\n62810 82142\n8531 61628\n33620 88273\n42404 81860\n8929 88639\n18693 45071\n27707 91725\n26501 33494\n11507 15474\n229 41469\n37235 70578\n17394 56865\n18742 42420\n55881 58390\n37881 81710\n492 59433\n36059 61129\n11166 63740\n92144 96263\n63425 70763\n23164 45639\n39019 55909\n69896 89293\n55952 91432\n52131 65760\n26737 41384\n19505 92011\n42952 44420\n49505 70607\n1293 15884\n16592 30229\n15809 43056\n46163 78046\n38662 73456\n65016 95943\n82793 92128\n2810 47614\n4835 26641\n9084 86493\n10719 19773\n28652 80556\n16819 82021\n2754 59050\n33050 69803\n35640 44182\n23696 46450\n33861 78433\n47314 72837\n41416 93991\n13386 22194\n10627 39339\n56903 91790\n20418 92262\n17101 33063\n18849 70336\n39476 51237\n44349 53893\n12011 29450\n32609 76454\n5809 31084\n1737 1951\n3847 76553\n61443 69972\n22086 55751\n53583 71012\n18399 63363\n10036 58339\n57775 77534\n12534 39988\n22889 59508\n27964 39929\n61856 62819\n22238 56143\n62998 91573\n33883 50056\n48198 99796\n52365 65151\n498 52220\n67379 78086\n15592 28278\n35581 56242\n7857 68618\n12337 36168\n826 42535\n25263 84287\n40006 93402\n28904 83816\n3724 42444\n21583 79979\n55520 87797\n26942 57701\n4554 35842\n47580 69428\n36367 44979\n44725 96550\n31362 77780\n42963 76510\n65520 92708\n6682 21383\n48780 67132\n36558 38308\n52104 99729\n39951 83557\n23244 42794\n24776 55793\n14939 21977\n63331 83491\n8392 62540\n57452 75522\n12026 94144\n11339 60310\n18107 74367\n61706 68626\n69507 71544\n15230 97736\n20547 83845\n29225 65570\n77945 94505\n56367 93931\n50420 84208\n73312 81082\n16856 67359\n40018 82080\n15533 30479\n15616 81688\n48636 62383\n16728 33055\n18865 69953\n45512 55657\n28293 67980\n33802 64505\n20048 66582\n66456 95957\n52968 98627\n37064 70933\n94294 95659\n76415 90330\n11295 59955\n51923 89359\n39867 53817\n13269 22734\n15037 20907\n65038 95013\n16933 66301\n3919 82384\n30259 82628\n16389 31024\n11200 58318\n11004 71784\n2278 37365\n54617 64483\n9038 40386\n64078 88029\n40460 68500\n34955 63467\n37447 81912\n21621 88643\n6913 44509\n83322 91862\n44584 62994\n79882 81060\n9535 58129\n43068 63224\n65348 68996\n12140 94629\n21446 53055\n65201 84840\n33294 34393\n7737 33603\n64681 85019\n58293 72843\n4311 56316\n3545 84760\n26345 68261\n49197 74445\n9472 66109\n37063 58594\n50386 54600\n15107 47543\n44155 49656\n57738 85391\n48475 92449\n10962 99724\n36624 53158\n839 55915\n24045 47646\n2007 23301\n55288 59527\n60782 78971\n58344 59176\n32725 93781\n49514 92196\n33117 35321\n29877 95901\n16044 23269\n16255 44097\n26111 48544\n63940 70650\n52702 67537\n17842 49127\n31763 84071\n63755 66365\n46654 48496\n51110 56055\n43362 46062\n21165 55246\n20758 29198\n60270 65673\n40580 81124\n10163 70892\n4864 6885\n56469 78335\n29798 52178\n38097 76114\n60301 91888\n5618 73250\n96916 98909\n23196 84464\n20776 23553\n54072 77956\n56293 66491\n54696 61050\n31675 34805\n34689 96128\n82058 82126\n52716 81950\n28279 85263\n33689 95156\n33778 57496\n19488 92168\n63069 68788\n9619 52004\n10055 38278\n20281 77306\n23271 51619\n9812 84203\n26983 45373\n24422 49686\n14924 80697\n44960 45191\n40862 68326\n37086 61694\n39601 93879\n44088 99445\n4861 59825\n24056 73581\n78752 90887\n56016 84033\n18156 69062\n90875 98260\n34118 84020\n9161 18304\n78803 89956\n19602 92913\n10146 58841\n59378 89768\n75384 81313\n76767 93746\n43314 60738\n9224 65323\n3062 52124\n33727 76788\n51930 52767\n56064 83242\n19759 44761\n41642 82213\n24687 36591\n8916 81657\n48801 87505\n2332 33694\n77947 78389\n71362 99524\n49891 70837\n35612 49581\n69959 87618\n5859 12906\n62642 91034\n66277 79626\n25080 62928\n66438 98791\n55365 66532\n18105 99818\n52726 93749\n46126 53381\n71847 81857\n31604 83196\n15968 32546\n19070 98612\n94274 99386\n53013 76366\n54030 96998\n1076 82719\n46590 78776\n34244 79441\n839 98673\n79852 84452\n6959 41190\n3854 33848\n51142 84484\n8070 25291\n78371 92579\n35924 95537\n21332 97959\n36691 53059\n83529 95260\n9023 50741\n48016 89521\n16969 78501\n68283 79157\n10448 17157\n25784 82660\n61965 71502\n91315 95649\n7788 98216\n69134 79980\n77069 84970\n16031 45427\n42899 47971\n74059 81398\n22424 31671\n2564 17228\n4982 94049\n45342 68857\n36859 82815\n21995 86570\n24869 31041\n37409 82582\n31477 34004\n80001 87528\n6330 62622\n20628 26577\n16976 23452\n43142 87397\n25855 57028\n43893 48095\n79245 97551\n11418 38551\n45628 75910\n13970 71564\n22405 47049\n39154 67315\n13507 38727\n27744 69944\n26953 73145\n47933 89896\n44638 79999\n94492 95461\n16110 85472\n71377 78027\n73562 76884\n38089 62832\n45299 48653\n57979 76740\n19147 90519\n38271 47516\n15388 79654\n4447 35337\n40023 80600\n24105 78474\n64612 71248\n12176 21371\n18314 77265\n21848 37237\n44056 89390\n53982 62302\n35692 94430\n22626 66683\n41483 59801\n33702 47657\n19411 88144\n38973 53099\n30713 36838\n91613 93029\n49301 90279\n10964 82485\n5088 76480\n21146 31524\n19005 29375\n17138 39160\n48362 95499\n38385 49820\n20674 42125\n25388 42709\n72475 90674\n52240 57244\n43968 47871\n3138 16520\n19793 43062\n19148 26475\n3487 66071\n24157 71648\n90426 91361\n54335 62776\n60685 88913\n41017 67142\n13621 87178\n47327 94066\n32026 78925\n3915 28654\n8251 23590\n26292 88816\n55948 64049\n17045 53387\n11138 55414\n22345 35425\n72357 79825\n7852 9015\n24562 29241\n74768 95887\n38810 86171\n21158 86740\n76583 86422\n93134 94218\n84285 88074\n59278 93598\n63139 85452\n43156 98729\n20722 25934\n42992 74200\n32733 36752\n36355 66602\n14252 23952\n23387 45824\n51391 54418\n86673 92996\n44690 63895\n60629 97294\n19815 66518\n59718 61153\n8062 96207\n38146 73089\n30988 66707\n38648 77990\n29509 43070\n92902 99281\n40477 79343\n27536 75363\n2401 72966\n2187 11668\n50206 72431\n74714 97716\n47210 96032\n88926 99249\n28974 48182\n14206 81119\n67519 87758\n31626 97951\n27221 72507\n14589 68870\n44840 86423\n7728 93614\n37815 39854\n57263 87306\n39376 89944\n16450 62345\n83193 97938\n19145 97640\n40399 58049\n80127 87147\n30555 92207\n8048 23127\n31683 33081\n13089 17920\n33298 41300\n54769 91061\n38957 81023\n12384 89178\n264 20948\n46281 50188\n98575 99278\n2989 94679\n17860 26633\n16007 73098\n7227 37257\n71970 72048\n78556 93490\n925 85970\n20180 92003\n3441 88955\n41105 95657\n2311 29849\n24459 91531\n32175 75160\n79078 98783\n27657 47297\n15998 90286\n32841 78492\n40656 92467\n34679 64986\n39257 75514\n67220 90839\n25699 87025\n41108 69622\n13309 65073\n2312 57463\n23277 89016\n29530 54821\n4544 73694\n21568 52803\n48489 49425\n3717 44498\n17664 90124\n27402 35623\n5042 55025\n60216 97288\n25959 38888\n38586 65577\n26596 40957\n10477 71234\n32701 81233\n45814 49789\n33370 53930\n6989 69540\n28813 51509\n22025 73045\n15534 33826\n5804 46898\n39060 76977\n15561 36113\n55284 60063\n58814 88981\n39652 47876\n42624 79877\n3786 52605\n3968 31330\n40870 41331\n19533 30811\n72154 80028\n10023 47965\n10899 61636\n64557 73678\n62052 95655\n29037 29463\n63171 72273\n10707 22858\n21197 42101\n33364 42261\n50733 76562\n75777 95870\n74596 87192\n21065 32548\n22588 73679\n72668 91141\n9185 90328\n32612 93485\n22387 48770\n13303 88174\n34346 50823\n67473 84906\n73623 94172\n47530 93354\n16082 18329\n64077 80628\n25231 33376\n1402 12903\n9421 98788\n6666 39595\n43607 51446\n65193 99009\n38814 61455\n894 76151\n25319 64328\n5975 50808\n13579 66562\n51286 76420\n51688 72629\n23236 58052\n25453 91219\n11519 14118\n40128 49367\n15056 33049\n45363 51226\n12893 89036\n18768 70796\n9 24375\n13987 95343\n25804 45407\n26493 59180\n78293 93814\n31545 46512\n58633 82947\n30759 32900\n44276 61201\n91477 99411\n28367 51535\n56299 89713\n28342 29570\n38081 49804\n13939 70308\n8747 14069\n55342 98064\n70267 72724\n24782 91584\n59813 82342\n4054 65645\n34587 86903\n18073 39477\n71691 97462\n35077 89430\n31046 39093\n41680 63684\n46079 78426\n35465 96945\n27040 53829\n24303 85880\n48953 51942\n60216 82671\n59086 78656\n49989 84309\n2931 69198\n65968 94139\n1495 29177\n19351 95814\n45059 66699\n2014 52601\n15188 16057\n25555 81735\n24298 31135\n2569 61312\n51309 99509\n19968 44264\n83580 86515\n19086 96878\n20151 46362\n12093 98963\n68463 90627\n71010 82730\n49277 94556\n3356 3844\n37350 37988\n56220 97521\n1556 83983\n49856 70742\n17519 88956\n82058 98453\n40039 45322\n48218 89986\n15758 82189\n48082 55926\n1491 57068\n4582 93332\n23817 27664\n15623 67328\n52169 69760\n43831 93759\n12340 81091\n11138 51935\n3718 64455\n71051 74307\n15769 96724\n59964 95828\n19861 66787\n5512 31522\n21580 27727\n15553 51539\n77608 96112\n14036 89687\n16472 80314\n21038 63153\n21147 82210\n13975 38429\n216 95818\n5521 47159\n83316 94683\n7006 10161\n25042 88816\n34194 64672\n42134 70135\n57561 96235\n729 6895\n9238 67539\n32525 80167\n43571 75973\n36827 93101\n5683 35980\n53763 82512\n48614 65256\n20599 52015\n10071 49964\n127 392\n48455 50465\n5513 74397\n18786 91900\n20654 56465\n28665 91341\n11547 65198\n37189 89309\n70167 74244\n38171 51889\n14410 56486\n30272 42996\n1469 22266\n49148 63318\n8046 87909\n13526 21294\n7657 53187\n15178 66788\n5963 85040\n33117 47039\n20786 61353\n41209 66357\n53490 79852\n71823 99055\n16525 97788\n26791 31355\n21830 96017\n17043 66877\n36750 37392\n16331 40108\n47891 89114\n44439 59939\n72757 79673\n53398 78517\n52340 57425\n12871 65932\n13879 84701\n40436 66855\n27379 54235\n9720 28987\n12462 27459\n16216 61530\n58676 74529\n67601 83486\n23698 72174\n42484 90657\n12795 98611\n53443 93825\n21086 61442\n36692 78335\n13119 32282\n9522 62727\n9418 87737\n18831 54083\n22575 32255\n4106 66023\n49261 59498\n22348 26499\n54027 73521\n22881 38261\n5908 37471\n38995 96267\n18044 32220\n65016 88630\n53892 94270\n44563 99770\n24638 77922\n47227 93304\n36035 80264\n39836 69943\n31342 89730\n52802 92635\n67380 89850\n50704 71692\n46544 89544\n71263 88660\n18266 80376\n6210 49153\n22987 82194\n60710 74972\n30531 87986\n22317 44183\n29209 56183\n7120 43470\n49416 63739\n62100 63154\n91452 92287\n35146 70972\n27814 33851\n43333 65963\n17288 91172\n25588 37138\n34508 93882\n18090 53747\n53864 69071\n39104 71601\n59137 93677\n94509 99683\n41025 67117\n39318 57790\n7384 59863\n4617 93787\n56895 87199\n31671 70097\n37763 82706\n48762 66202\n39399 58564\n57508 65270\n53328 77629\n32987 64826\n16880 35946\n73849 77453\n22053 39180\n33341 40161\n87295 91557\n5375 19268\n66199 67996\n70868 88825\n24667 85502\n26308 94109\n55669 68241\n41538 52991\n7305 50065\n32543 94474\n52771 74725\n56977 65500\n65996 79314\n31817 66362\n19826 55932\n25114 61157\n55923 63142\n22457 31712\n45779 84127\n46063 81675\n27365 74201\n46099 47676\n26535 49032\n68401 93493\n68877 76653\n32546 80123\n17950 51669\n87568 88291\n11548 57411\n4499 72365\n2692 20531\n61692 76263\n79301 95787\n7569 91661\n20957 77780\n20794 29975\n22474 25378\n39348 55031\n68563 94489\n8130 65972\n19016 24597\n73664 99785\n12851 50337\n46513 50788\n32489 74682\n31393 80517\n36236 80120\n50541 69066\n59861 70054\n45804 60724\n45223 96062\n13109 49939\n77835 84753\n55437 56999\n64135 96889\n23769 68705\n7763 30098\n30982 95203\n14247 97151\n64291 66620\n3499 59220\n38442 52767\n31848 59543\n2371 26073\n21975 32898\n11415 38915\n35234 39334\n13128 82291\n31856 56410\n3281 12990\n8252 15806\n17464 92416\n28649 89549\n30382 67151\n13976 84077\n11763 85327\n19865 65569\n13331 31910\n78977 99742\n55289 73549\n5329 31721\n62135 95408\n33810 65694\n25415 74382\n9168 29008\n2237 10873\n93591 96910\n22088 94958\n14337 28124\n10212 65716\n769 18050\n4539 28178\n32441 80095\n61341 87954\n59320 59437\n40647 48595\n38509 87217\n57117 68570\n23832 48290\n49742 61606\n57808 85798\n80877 97369\n28902 83850\n792 11685\n72404 74353\n2754 65622\n65402 91015\n34941 96242\n48512 76275\n35159 78202\n28261 77545\n32212 73638\n22982 54624\n2021 68110\n42382 91632\n31828 43706\n87512 97368\n24940 44349\n14345 53970\n62159 88006\n10083 23098\n60146 92496\n20569 63205\n19168 33484\n22135 44299\n40325 74609\n57923 93967\n25925 49876\n37471 66280\n41684 79171\n4945 78294\n11802 29732\n25977 64760\n20901 24373\n74518 74749\n83024 89625\n22731 39900\n58954 93505\n53344 73493\n57182 84629\n54819 80809\n31507 74436\n6971 38627\n15438 77991\n71431 93794\n26654 50550\n72003 78127\n4676 24631\n29579 60451\n19862 63646\n2926 24980\n11391 28192\n62246 73035\n29077 45828\n4884 69162\n3740 50404\n51886 58346\n17987 36957\n14454 55733\n12178 31592\n20769 95322\n20950 83570\n22555 46070\n21603 46054\n31344 39320\n27610 86994\n78056 92073\n13027 86880\n48069 63041\n9873 47718\n25740 82788\n17351 17898\n19194 94036\n7843 62690\n1447 71781\n52816 66889\n50183 63401\n49559 57212\n37520 75629\n82299 96262\n5788 88886\n22462 57712\n85975 91179\n7451 65702\n2281 98144\n54638 90730\n12037 17845\n38167 46520\n3000 46582\n42609 77147\n30927 38645\n12711 29135\n55397 87306\n4096 82548\n8276 77402\n2249 36555\n22228 70044\n17400 68401\n9688 41662\n50799 64902\n857 84206\n8851 84327\n34968 99839\n38781 50603\n964 98006\n28268 82279\n47085 95924\n62084 89585\n10557 36664\n30226 30378\n26166 46706\n19287 71484\n36740 83116\n7795 99198\n24065 84581\n57930 81003\n41959 60965\n56949 98752\n69843 96673\n3934 30354\n61400 66297\n28704 68998\n9930 22492\n11764 39090\n60745 81169\n47652 77470\n70392 94512\n52565 70173\n6170 44504\n43084 48140\n2212 50581\n41062 46241\n8068 42558\n86827 97366\n82474 90476\n2490 92855\n36755 87756\n3940 70972\n26678 45532\n19641 77678\n40561 91939\n67252 77420\n25012 27141\n6687 80565\n19007 66938\n20008 61938\n25211 98553\n46298 72413\n76595 77650\n44264 65289\n69204 87135\n32975 48376\n21622 93581\n27156 79619\n36545 87958\n1752 11489\n29720 83182\n42599 46750\n21112 77531\n60008 69198\n508 71562\n3341 75766\n51271 96073\n12191 84107\n47683 67315\n50438 95079\n23124 27857\n60712 71003\n46639 84493\n14733 20652\n59139 87880\n26166 66995\n59877 65058\n91166 98909\n19738 84198\n20625 37738\n33586 45479\n13360 16022\n29950 95533\n55942 79156\n8041 98359\n75346 86582\n42775 98727\n12477 84159\n63268 98071\n44726 91686\n45136 83525\n59786 66254\n7846 61637\n12506 99250\n19966 22944\n64696 65038\n30253 47015\n9679 69042\n41950 81835\n13027 67549\n15726 52350\n24212 87393\n44740 99686\n25162 92225\n55313 97750\n16834 28210\n43204 93149\n1639 76182\n20768 96073\n18211 90497\n21404 65768\n342 70941\n68464 84696\n13025 66284\n21047 42457\n13364 74340\n23841 36747\n13002 14896\n40299 89261\n13155 39248\n38372 46203\n46287 70911\n6588 61787\n45528 49731\n35910 72539\n32606 82929\n56832 64230\n55807 99223\n4288 14639\n57305 93480\n16769 71836\n26933 43893\n34562 72184\n5639 31772\n75188 78379\n52197 65210\n7374 43619\n71943 90467\n8917 9138\n41154 72503\n11439 73188\n28721 58755\n18246 55769\n61582 72752\n51678 66982\n1851 21932\n29037 31992\n17292 29401\n2589 75644\n35996 38457\n39190 66223\n6127 43336\n37506 57619\n24276 46376\n1579 35166\n84234 98259\n23707 41053\n55786 89061\n18447 43960\n4614 97955\n39381 96823\n35633 71921\n53283 56247\n21121 58062\n15471 75689\n37502 87833\n48378 89518\n28648 59674\n22366 86033\n1212 46542\n40041 67574\n1832 78647\n2577 91620\n32474 94929\n47592 99329\n35471 93142\n29221 56245\n62295 99775\n19399 51161\n39720 72303\n7403 31546\n42226 92302\n29730 88597\n13854 70204\n18010 32169\n56296 88246\n9691 49992\n47032 60574\n11057 67341\n11586 68073\n62304 93501\n12824 31485\n51818 70080\n7689 90151\n51201 78824\n2196 71258\n29470 41641\n67083 95739\n79424 97247\n31575 99356\n6415 80858\n41589 65931\n65266 82269\n12150 92005\n69544 72077\n44266 92458\n46983 52098\n30473 48106\n54397 97477\n38292 85938\n37393 89643\n50875 71742\n35760 71475\n7379 36519\n62901 71571\n26809 47628\n10672 30106\n47795 77592\n30897 92334\n48514 49433\n59534 68699\n63165 84018\n49130 51165\n8849 49640\n59328 97943\n12268 55636\n22391 86432\n645 59865\n48652 80286\n36378 65251\n48951 67337\n61474 71982\n25084 83176\n16256 69368\n9084 84072\n29862 78687\n3855 68281\n38189 96244\n69702 81906\n67262 67281\n34281 38266\n16841 30039\n32427 66939\n24411 87978\n28564 53274\n11277 84218\n19387 74253\n1940 69693\n29516 44539\n76517 98577\n14941 46380\n32099 58466\n24953 40411\n25978 32117\n21913 22500\n82093 89560\n62558 86325\n32752 97433\n3125 15940\n20376 71197\n2323 16851\n15551 86337\n4817 65624\n86500 98045\n58779 83975\n58121 91001\n25267 49155\n16062 66153\n3128 49824\n25833 85344\n43708 86289\n30172 88845\n30752 86987\n1472 68777\n29763 46626\n32692 58599\n32837 92092\n4623 5062\n597 20365\n26836 65492\n67755 99100\n27243 47571\n47815 90479\n75432 88631\n5157 31200\n25484 72607\n51441 87944\n51895 96159\n5974 84257\n7389 33426\n43517 55363\n39578 99260\n81310 97573\n17397 82481\n6673 20658\n53759 56582\n34224 65818\n38262 98279\n46130 89281\n47357 77243\n58379 75994\n73357 82976\n48642 50452\n25118 78234\n21518 82438\n32183 58941\n79371 98965\n20533 25100\n58029 66997\n91025 91255\n1008 86458\n2743 93226\n2028 52973\n62649 70823\n68182 82516\n22017 23608\n17490 37287\n57652 76100\n21460 62480\n88015 99590\n15707 54698\n59041 86306\n1687 28734\n5662 99302\n28066 65416\n28597 76387\n12542 27159\n59261 70194\n72663 95756\n21818 74486\n56434 58307\n30248 30614\n13672 67906\n21394 77848\n26096 31501\n40249 72668\n41087 83615\n80759 83210\n55602 68328\n28553 65724\n40232 69335\n49408 57905\n65508 85318\n15315 40060\n23527 93276\n3607 52948\n69616 99224\n28386 88488\n61453 91237\n32831 93472\n6072 62586\n2726 4419\n28895 37326\n6804 9171\n49928 75556\n29947 97944\n24632 93840\n48301 73780\n75321 85100\n16296 70924\n39726 75186\n8238 95300\n8970 38504\n1639 99240\n75869 82763\n16907 80085\n11966 24448\n49523 58275\n28414 85846\n62070 97847\n31383 96908\n53989 63665\n21529 45559\n74698 78364\n41785 48586\n10332 73734\n54584 85950\n49596 80992\n25046 66803\n25669 38203\n32974 43641\n40312 41713\n34955 36361\n44885 45096\n35589 68062\n45389 45969\n13379 40493\n18869 97535\n2209 14298\n42178 98260\n56967 97775\n8709 12491\n38527 71365\n50617 99914\n28309 85606\n72055 86101\n91761 99185\n4880 48110\n28416 88556\n49159 49964\n5944 41882\n48833 76685\n49470 78153\n15902 20847\n35311 93632\n2397 17971\n11882 66330\n37517 89846\n60028 86429\n8400 23126\n18105 25936\n2774 88429\n7826 28055\n40528 68402\n6802 90365\n25247 55525\n41633 73223\n20903 56384\n16043 74003\n411 23180\n62934 66741\n13638 87645\n1732 75671\n46455 48281\n11711 49045\n25017 57953\n1510 92218\n13275 49718\n67810 69252\n26159 43950\n44708 62095\n68141 88859\n24403 44913\n1863 18726\n11887 68088\n18768 51485\n21322 96657\n25627 34232\n1739 98108\n1158 41437\n4018 28837\n68419 76550\n61428 79414\n46090 93385\n29228 48089\n9045 99583\n2348 43028\n2953 75925\n13757 40605\n70661 97148\n19896 62377\n6959 73210\n15152 67178\n44101 79324\n61668 92347\n31426 52033\n8689 53244\n58163 60469\n44566 81194\n24291 95341\n9032 70616\n70056 96318\n10079 71180\n33839 68068\n102 41334\n31858 54472\n32188 99809\n780 19222\n17424 85238\n43997 49271\n60061 95797\n40755 52401\n24345 92854\n7725 76388\n33372 43358\n3455 68856\n3928 36864\n87169 95314\n48082 74161\n32754 42036\n23608 41884\n4365 63654\n24963 33316\n25469 59432\n37890 85730\n64679 84846\n32880 56404\n16695 27239\n66107 98995\n55890 86309\n33190 57287\n8166 40050\n80787 84115\n35019 60212\n74632 80318\n10792 99473\n23193 54071\n6811 88962\n10136 65549\n18035 83105\n38583 52055\n28069 93878\n4441 19921\n4138 11566\n44485 52053\n5810 68602\n4356 16143\n55061 57063\n20970 65333\n68436 86474\n27297 82903\n3540 80742\n32587 81133\n20929 25120\n58775 66767\n8366 90069\n43091 72004\n503 55161\n58088 70456\n49424 93644\n41241 73654\n32873 88633\n77539 94407\n35518 71286\n24196 30699\n61236 78931\n52800 79347\n68517 92198\n82211 98983\n883 59820\n62643 69387\n1840 77719\n30691 77174\n60438 80195\n56321 74981\n24068 94158\n11331 61075\n14579 17763\n49994 93268\n17611 93600\n68056 69961\n31870 98434\n62903 73422\n7095 18791\n27204 45325\n4131 87255\n76758 91703\n23924 36744\n3874 73692\n32264 79048\n46686 83050\n24814 37978\n47635 74235\n57945 86231\n8866 33866\n31186 86150\n16498 37388\n5299 34466\n20971 84004\n27888 97855\n14566 93034\n48774 88306\n18252 29753\n11574 36902\n15907 94625\n82632 95832\n19125 19452\n17000 51428\n19306 82120\n25044 76787\n13618 87729\n46453 95463\n18495 48396\n24092 36457\n7348 50600\n35830 65356\n37455 91531\n1210 52614\n14933 44767\n16238 40265\n11183 51803\n3188 7245\n67504 81406\n63114 64079\n17940 45501\n2295 62567\n39676 80467\n32455 37882\n28670 80461\n38690 69734\n69016 82748\n43586 85407\n19226 92546\n59470 65458\n63100 78163\n13759 79455\n29175 41388\n29526 69251\n49888 65135\n30417 81117\n3910 39443\n6059 75222\n1177 32836\n26038 47197\n57633 67593\n47154 92755\n15095 66097\n43740 70158\n1966 75898\n66429 67869\n74390 84155\n68144 71374\n63909 79938\n4074 88302\n68991 99614\n12882 39844\n96631 99821\n16903 48107\n5395 25408\n12676 34187\n44680 53654\n9061 26002\n1546 79063\n57352 95826\n22013 37070\n67442 82377\n57960 63102\n50713 96683\n24779 81260\n38661 48586\n7016 99877\n9050 19694\n47715 71565\n11815 82903\n75192 95103\n2409 6794\n77455 85415\n66795 85650\n27406 60209\n39464 75145\n8871 35091\n16152 93709\n70358 96006\n33676 95034\n1037 50990\n60335 62776\n35175 46347\n30495 99243\n68517 70945\n71223 75738\n38614 66907\n20665 48169\n22065 58871\n62146 96861\n51230 66054\n62580 97308\n14118 51028\n45134 91525\n50158 66326\n12099 74523\n31031 89016\n27298 90638\n39182 89644\n48664 58111\n49666 99842\n10518 26379\n14276 65396\n21158 84672\n7375 88293\n61599 71716\n47658 99069\n51632 52401\n35850 97214\n29712 98832\n31577 55289\n1589 84148\n54171 86292\n59882 80093\n20870 80912\n31050 91072\n64065 94617\n20532 74179\n26716 57659\n51202 88693\n75525 78773\n41817 80346\n44665 47961\n14606 40232\n60081 71937\n33072 34213\n24696 56796\n23130 79693\n25920 70461\n3827 58060\n14867 14872\n24942 42598\n12267 42471\n17085 82505\n11545 83669\n43751 86843\n8285 19176\n49859 80907\n30397 65942\n1178 20439\n4829 7922\n27991 90822\n31536 36028\n62874 86765\n21952 78581\n38747 52164\n27288 41745\n7211 86209\n38215 60484\n11260 87388\n59570 72102\n98247 98270\n557 86511\n7698 42493\n7531 98876\n54344 56605\n6611 73327\n26891 58765\n46756 54213\n55739 86757\n16829 38986\n45289 55324\n38158 45085\n31750 66634\n54230 89642\n13502 33147\n42644 97992\n27942 67804\n66080 91254\n35916 45583\n58005 98308\n14549 67301\n22650 90503\n293 56264\n12722 96908\n62014 77828\n35350 64260\n29722 71501\n19974 54489\n91300 92097\n84651 90363\n36400 93607\n17892 52080\n17346 79185\n18120 37361\n50478 60813\n15179 22616\n30692 46781\n39004 39123\n29330 42639\n16666 71734\n13798 96502\n33752 41528\n24519 75478\n64426 85809\n37551 70174\n44651 47682\n39261 86050\n24403 61045\n50260 90905\n10335 56202\n11529 43887\n59198 99800\n33750 49889\n46496 76244\n2718 8070\n25731 30249\n81130 94272\n31594 57504\n77232 90307\n21183 24477\n4321 69607\n20613 24305\n95334 95505\n4956 91925\n62952 98521\n58469 97881\n60401 74436\n38603 87415\n4478 32316\n39374 63081\n3060 46589\n20109 83896\n29459 49268\n14450 55195\n26860 46200\n31651 62364\n19958 64928\n12291 97263\n25217 92604\n89931 97679\n16756 95972\n42729 77882\n32032 70439\n43317 86179\n78570 95136\n5867 51570\n11247 22630\n38869 55832\n49761 56696\n64572 92503\n37268 83774\n9352 85907\n6268 11479\n52245 81203\n14267 96617\n37980 78902\n61882 89227\n31378 39989\n1178 85242\n31145 81516\n75320 96051\n15303 77594\n33326 79998\n78883 80174\n19374 68928\n26612 75186\n66292 71861\n11048 69723\n1183 28169\n90178 99547\n75072 84436\n40019 50431\n16141 44074\n72624 75868\n72254 98097\n23429 51190\n13666 36282\n6725 13654\n14910 57770\n44555 99179\n23846 41121\n9130 75686\n56032 73213\n65087 97689\n79764 91910\n3560 22135\n75302 75409\n12950 98635\n27965 47184\n25120 97302\n12347 97423\n72020 84230\n39813 63489\n84255 90646\n52611 54157\n11291 86915\n3989 18941\n9659 14257\n21053 61486\n17008 28225\n617 58949\n36398 76689\n48391 98291\n47866 55580\n20134 55579\n11735 61517\n75474 80093\n40215 83765\n53984 83964\n78218 97937\n35913 44083\n18426 30749\n59770 69348\n15212 23757\n14093 54607\n5181 73110\n6757 23318\n9506 41297\n17816 65251\n74890 82639\n576 47561\n86442 91962\n21525 94864\n70405 86249\n35225 51761\n12244 92540\n8186 40779\n6804 18153\n13746 32676\n31318 33811\n85557 97091\n33594 67458\n5094 73630\n11671 68078\n63643 80194\n20094 79624\n24074 37883\n66106 76556\n63176 64018\n57375 79420\n13200 33938\n62482 99153\n50612 82248\n17882 50802\n70683 89341\n8991 39189\n16579 19394\n22909 67952\n51307 70207\n12631 73537\n33485 46777\n12845 33904\n39675 60269\n13182 94468\n28992 33393\n31386 53713\n80718 97166\n78372 95260\n29868 97941\n25087 45744\n55614 93291\n7878 52240\n53231 53967\n75330 75515\n24434 70517\n15987 18011\n33279 34845\n17621 49994\n66694 82128\n5565 45560\n43439 81620\n30684 49575\n48545 96273\n4482 87494\n14774 71632\n24337 41202\n72337 78904\n32890 91603\n33435 88034\n63279 71740\n55121 86189\n47549 69041\n62393 79112\n15900 33244\n76908 96717\n60448 88282\n63699 88346\n52063 56905\n5079 15174\n29048 80506\n22336 81938\n18992 42155\n63014 72252\n10407 18269\n63575 96640\n11295 54734\n63757 92350\n60268 88024\n99600 99818\n1968 53323\n30905 47359\n66661 84040\n58546 81738\n20733 85426\n20332 56258\n12435 66730\n56771 85993\n22025 48901\n22655 41921\n49020 62556\n40423 95608\n15859 97791\n19814 97679\n23681 40388\n48599 57084\n16136 94010\n4083 68801\n32989 50349\n6679 74473\n50846 82750\n41652 43253\n14320 85919\n3437 73872\n38470 79992\n63567 78441\n44168 81685\n33800 66451\n40774 56346\n15420 29172\n31825 55997\n22562 82082\n53328 95564\n1748 31802\n35804 46506\n20984 76107\n47383 81377\n16920 70970\n44929 53569\n77571 98250\n22589 91597\n63366 83286\n33635 70670\n57866 68117\n38411 68313\n86375 92741\n50263 94540\n19884 95718\n6827 63304\n52470 79361\n29696 65920\n4920 97933\n25755 94152\n13744 28171\n57168 67987\n58452 83328\n88428 98806\n52634 93359\n11917 71518\n25824 54619\n36471 43339\n21880 74907\n22388 58711\n67256 82072\n794 34868\n26042 34494\n87023 88462\n1258 73090\n56564 58273\n772 80298\n12419 24383\n58955 73250\n1120 89741\n36090 41986\n38472 98003\n13717 58585\n52298 84427\n1211 98610\n29488 60094\n50994 75694\n5057 50839\n73911 90557\n18093 92742\n52650 56161\n39840 91615\n635 2365\n30513 49811\n50719 89950\n76341 88840\n13013 95462\n13702 57698\n1667 33020\n28105 80089\n2849 41643\n49457 58437\n57144 76484\n17487 18276\n57541 86162\n8285 99112\n86890 96011\n61990 83854\n28244 91599\n49769 52363\n43801 68108\n1102 50631\n13035 24349\n42374 69503\n78449 87427\n34284 58349\n36412 64725\n53433 77409\n28616 91805\n13146 71402\n5874 67259\n3185 78332\n64128 75610\n69358 71729\n57064 95250\n56930 79848\n7204 21196\n42267 84252\n52918 95631\n463 34968\n43024 71460\n19587 48427\n44095 73880\n44906 78778\n16678 93125\n14750 53215\n23876 63711\n52716 55711\n54795 55422\n1072 35794\n1717 79614\n68984 88838\n1813 81235\n66886 85412\n4084 6342\n15430 82540\n31037 96096\n17091 58115\n57494 98790\n50682 81288\n4659 55501\n8029 97864\n92264 94021\n13710 60586\n74534 93752\n56170 63635\n16968 80180\n82407 94977\n43526 72034\n66294 88326\n53879 95520\n22750 36377\n13105 60000\n92319 93300\n36430 79049\n16444 85901\n16747 34328\n50559 53370\n7343 52507\n58106 79928\n20307 75268\n74739 89878\n12966 96600\n7975 91856\n40428 57592\n3847 65454\n66432 98060\n93373 99026\n83475 99804\n39296 86522\n28847 97039\n3249 3302\n19478 67608\n16849 96046\n7006 73897\n51780 52275\n71960 82926\n65248 97594\n66735 80447\n39158 66751\n43671 66176\n53175 96908\n18858 66789\n2527 97254\n13052 35578\n13775 88348\n13573 59134\n54851 95717\n81089 95634\n15599 41565\n21724 69699\n34492 45162\n10535 41425\n30177 82443\n20173 65674\n7657 78128\n7164 98779\n20413 37577\n7274 54676\n74381 76570\n21462 21596\n32216 60935\n32817 75735\n50487 65104\n24650 51457\n57169 68358\n40722 64532\n17533 74645\n62344 78504\n3912 5947\n30151 59739\n25906 93661\n10347 98972\n55081 85029\n5303 54697\n42319 45393\n9232 89062\n36712 67169\n89320 92639\n32354 36620\n12415 86727\n2004 72927\n32233 77607\n5122 17188\n6743 80946\n2282 5103\n53207 53334\n23769 57951\n39637 73239\n11926 69297\n2244 81932\n41868 87225\n13065 80760\n57123 95609\n33850 43058\n58718 79170\n9235 32848\n68059 80494\n9323 86680\n48342 49043\n434 96780\n24592 63066\n20782 43909\n64640 71539\n67281 68951\n14816 64687\n15432 43756\n23094 41960\n39038 56672\n30970 79644\n31613 46370\n24228 64806\n16096 72457\n20666 27804\n10101 32892\n17220 55309\n53552 64917\n14060 91727\n72444 90158\n29717 44346\n58895 91078\n8051 65304\n26529 27136\n43695 81898\n61887 65684\n41855 65020\n85360 87848\n12248 67205\n9985 54764\n17923 52204\n8587 67661\n5240 66055\n7931 81905\n31241 86415\n73470 94681\n44578 51939\n46581 54486\n19350 77536\n49260 81409\n24291 35996\n594 62802\n7381 73883\n57382 75249\n53294 56189\n81517 83345\n54370 92990\n51508 97609\n12589 24067\n2852 30433\n92782 99542\n30013 34843\n45825 47206\n87223 98707\n46418 84441\n5113 72505\n62174 94766\n20460 83257\n28968 71413\n46909 78259\n23401 29404\n31616 42522\n71076 96776\n25938 29639\n60436 72041\n30524 65446\n51908 87419\n56324 62665\n10126 15338\n51756 73269\n33229 33815\n39230 48343\n4870 96062\n59270 65096\n45550 78081\n22926 30879\n67441 67653\n22894 26592\n40073 67733\n52469 77805\n27038 69135\n37300 62708\n55894 71147\n71018 77465\n51008 63978\n34147 96280\n35393 47289\n4291 99244\n33242 73369\n58751 87620\n72539 92494\n1787 94978\n22156 72641\n13387 16611\n7385 65538\n84203 93992\n34256 82049\n5116 52395\n64355 95852\n13992 94928\n16248 87078\n52077 66236\n66488 75388\n6313 78165\n40079 88619\n19362 75467\n36409 75551\n19448 46687\n18178 53679\n58464 75507\n30802 51140\n27487 94498\n36615 88309\n6894 86736\n19292 19466\n81290 84412\n43250 95309\n66745 87894\n18926 48852\n24142 50690\n61256 68336\n10902 75992\n10419 87344\n24439 29151\n35021 74000\n23157 34291\n39551 42507\n25189 95895\n23575 47322\n14270 37102\n40434 89820\n6062 14313\n45993 95799\n8999 52611\n30526 52535\n44 39951\n39855 99182\n17398 30981\n3948 8239\n59513 78206\n4571 13238\n61120 62874\n8257 63988\n7611 59951\n54141 56386\n30059 37268\n12205 28749\n82838 96935\n39771 76840\n77034 98129\n24330 63115\n608 87665\n43214 62273\n16139 25061\n24931 54114\n35259 68464\n74860 91823\n45460 69162\n3179 67023\n7172 81140\n33297 80752\n59913 60041\n69636 96042\n58655 86614\n4345 60290\n26587 34277\n41566 74094\n15654 43737\n35508 96344\n867 26412\n49409 88926\n33272 56225\n1592 9176\n79495 93838\n50694 54069\n52041 56808\n44995 99507\n581 24029\n40001 65689\n4001 69178\n69185 91370\n30678 40836\n50056 73532\n9829 50323\n51724 95218\n12317 27860\n13061 71702\n3530 48524\n30807 40584\n1121 63458\n44982 84702\n916 23122\n56895 74837\n71955 94333\n42491 99056\n30237 71054\n21739 54270\n48421 95714\n65248 66199\n1099 51113\n14827 26221\n22291 74203\n65568 84759\n76263 86337\n5087 72589\n54894 71292\n461 23162\n47972 49118\n6953 73510\n2382 95981\n15536 38848\n62355 88844\n52353 98704\n59552 61028\n7390 68544\n25003 81944\n15020 78050\n54296 71943\n67931 82063\n36263 58645\n32759 83893\n30310 71902\n65331 65891\n26073 42876\n19303 55678\n27669 59946\n311 14166\n87312 99624\n34448 87841\n77889 92225\n37086 83061\n42080 62127\n44122 78428\n11429 89723\n46047 54273\n25740 43982\n4143 35526\n58727 75940\n21646 71359\n48582 82852\n48250 58442\n8687 70677\n10158 16079\n19754 28223\n69748 89303\n6392 21678\n18216 31998\n40783 70908\n60651 98902\n31638 92038\n51767 79644\n55537 97807\n33773 50773\n30450 93528\n36579 64851\n25268 44277\n642 58515\n6612 28325\n6743 72221\n3931 45006\n15893 80397\n47381 85408\n15878 64383\n8922 79468\n62516 63294\n40606 75666\n70274 83863\n11088 53054\n11552 63179\n104 20533\n17886 32592\n33220 45951\n75127 93022\n4783 77563\n25742 44052\n1089 20470\n74350 95738\n15060 44200\n87720 88394\n75900 79211\n36012 46246\n31541 93843\n44282 84543\n35531 95076\n27834 95209\n10649 79175\n7092 76953\n1264 66615\n32871 34409\n68392 99632\n8438 26326\n60351 89056\n52553 86461\n17278 85471\n45314 76182\n85450 88859\n46998 87044\n4828 18586\n5442 13140\n3290 37171\n26474 87564\n89877 98485\n12987 38853\n1088 64134\n49915 72495\n9346 79448\n10258 39749\n34660 94193\n36817 74841\n8659 69141\n4855 62931\n79596 81323\n218 24198\n30314 43537\n27686 73093\n17705 18202\n52927 90268\n26434 51282\n19493 63270\n33695 86522\n26153 81087\n21355 65495\n9072 89506\n19937 34796\n8356 51053\n63540 87568\n26776 76382\n5367 20890\n7495 91339\n32661 62033\n22729 88773\n85332 97460\n23550 94249\n17806 79115\n2936 41755\n5121 46184\n13628 71337\n2100 16074\n2166 68163\n1266 88756\n70435 89043\n11915 65818\n28757 60133\n36966 66038\n49419 76656\n3069 72555\n11002 87858\n728 24681\n88928 92320\n33702 71993\n19688 60041\n75725 92641\n25763 48596\n44228 68573\n70793 81415\n65845 70908\n11530 50370\n5951 15349\n37894 93341\n51961 62056\n19144 60792\n4542 18213\n22396 70649\n37484 87106\n57443 85766\n50806 84408\n75748 96196\n84752 95629\n1982 68405\n5360 82734\n48190 59323\n31870 56794\n3765 25189\n21276 92249\n8010 63107\n47327 99540\n52649 64500\n36859 47447\n65252 90687\n30961 88665\n28396 65377\n9084 14413\n19021 92673\n37734 97231\n68911 87173\n56671 78295\n5032 64982\n10518 84188\n36431 48218\n2804 18718\n40104 41205\n41927 72857\n26125 96658\n70485 86998\n75086 91426\n58877 76289\n1991 45531\n17539 60007\n28176 34733\n44062 97940\n1542 17354\n39779 65356\n24864 66435\n12064 86564\n47528 96719\n13083 13285\n36085 60218\n375 25848\n96378 98716\n7518 99990\n14292 18332\n10062 30509\n2604 97515\n5159 15156\n78416 81290\n57739 92092\n11263 99432\n16012 96300\n58577 60680\n75092 87086\n35007 98159\n30412 60958\n24080 65804\n958 34688\n11577 60875\n68510 74012\n16961 48910\n27449 58829\n89404 96595\n16971 40101\n18978 57288\n3590 79781\n8960 68183\n39110 91097\n32560 78000\n35943 89438\n82831 91393\n12274 81542\n57098 73518\n12779 44299\n15641 43352\n42278 88916\n38141 80421\n83719 99515\n76155 82277\n13590 94074\n78679 94897\n64403 80794\n67407 85290\n23365 76577\n45506 98983\n21141 94074\n49576 89660\n10219 72290\n70299 79652\n9618 25864\n22302 59573\n3321 87736\n13146 32956\n53633 61245\n65698 92179\n19007 64118\n2120 54055\n72078 87659\n56075 74957\n79684 89219\n6541 17626\n19300 35524\n31040 50869\n76925 89974\n46954 54526\n57262 74869\n4484 30936\n71404 72602\n44020 53802\n28534 72575\n35056 41309\n89381 91384\n32139 37911\n15599 31923\n12978 41956\n40923 51870\n24817 56208\n7770 97476\n30936 70080\n64753 96317\n54873 58269\n8467 77222\n70218 89030\n50483 83586\n17212 30520\n49265 94489\n56747 94454\n14827 57621\n45394 79861\n18340 46678\n25166 63289\n6897 70166\n43923 48751\n726 4563\n82620 85010\n34061 88265\n5939 43350\n15075 43836\n14216 98667\n49249 50950\n25845 90291\n39812 72749\n24581 92367\n9796 51203\n48082 65879\n11843 74391\n80717 83810\n7592 46862\n85698 96215\n71404 90317\n40275 64665\n32655 44108\n11472 76681\n52369 56322\n52141 71174\n30344 80861\n24422 59010\n45152 88483\n52735 87104\n60035 81927\n45822 48013\n27501 38021\n58443 72381\n8242 45669\n6422 22142\n77523 96646\n30417 45514\n45201 75875\n40208 59043\n68615 76077\n34426 68267\n680 34687\n2565 61733\n29282 49991\n34887 93488\n10845 96144\n25101 78825\n566 85481\n21177 22580\n7264 73996\n6615 47858\n34989 53316\n33515 64485\n31148 50132\n17520 28551\n46476 96397\n12798 54503\n8300 24380\n2281 8614\n18377 78858\n10824 82831\n50405 99350\n30100 45271\n21830 89849\n49302 52592\n21889 97470\n28542 31364\n20133 50289\n2362 62813\n8604 94469\n14962 27703\n29857 42291\n70761 83991\n53416 61147\n77485 97962\n63613 85817\n36640 64704\n75979 86605\n33182 99447\n61447 94060\n70154 91617\n10113 61470\n19089 58386\n13524 51340\n24274 90495\n93974 99363\n64780 90513\n89811 92540\n19519 39892\n8610 75250\n49059 97943\n24697 50158\n13717 48714\n70629 92765\n8355 71507\n19275 39461\n795 66485\n21337 51899\n40676 61514\n56447 82173\n16451 71436\n60524 89495\n33624 87075\n22591 68543\n65495 93978\n30328 98570\n11903 88562\n12074 21950\n12970 36953\n15445 32464\n15966 17059\n76758 87532\n29879 53790\n14501 40597\n61126 93236\n35456 90745\n55855 63694\n10801 29012\n49096 74453\n56447 84917\n60561 95645\n43505 55020\n60602 93057\n10842 53238\n26089 70151\n17466 59979\n17058 33218\n1477 40240\n25948 52911\n27089 72496\n33744 40309\n8870 93754\n16660 29388\n6677 60721\n27519 97993\n52209 80483\n9911 48923\n920 97886\n62374 94699\n87580 96837\n86594 87428\n10887 68744\n63950 90683\n66688 88286\n22012 44202\n25028 84265\n16526 54402\n48744 73883\n50487 91205\n62314 93442\n41401 68552\n86698 97109\n63580 91115\n33426 58905\n24957 79937\n83562 89043\n91164 98104\n40688 61220\n16143 23740\n62380 86788\n34083 98606\n30861 59675\n71423 73227\n26502 80444\n28054 73612\n10847 66409\n56386 86901\n58206 86768\n62006 80033\n61155 86721\n34756 75030\n36192 98079\n67175 70867\n6301 53244\n11599 41299\n27902 58270\n11797 21167\n14469 44613\n13300 34278\n78019 90579\n47893 91010\n22732 47971\n7120 52442\n6601 97230\n5590 94564\n49480 83856\n73583 95514\n10416 48499\n27192 90071\n56584 93836\n77705 87743\n31548 90428\n84773 96821\n52101 97797\n6539 37152\n62064 85455\n30573 73342\n6589 44747\n51167 86040\n11574 20739\n7541 35205\n12523 71041\n659 97183\n66849 92135\n94107 98152\n19582 58451\n17587 38030\n47703 67385\n73611 78043\n14545 20746\n1181 8600\n34597 92445\n57856 78312\n41151 78721\n70420 75767\n53657 72431\n52410 99797\n6373 84102\n61062 83566\n18080 78232\n29130 69183\n40588 54595\n24392 38594\n15613 29935\n15427 58968\n31763 92410\n23293 46048\n17305 77143\n11735 56400\n6200 90117\n89748 98825\n11645 49550\n4010 17565\n15892 56038\n66429 72480\n937 72764\n11538 26081\n26024 68068\n58154 61002\n58422 59052\n8142 31886\n33976 99318\n7628 47288\n35422 61449\n30585 51964\n21199 27218\n31244 58573\n27732 97920\n34534 48480\n31682 96246\n23543 86207\n30723 72861\n27639 73666\n44750 51814\n6170 44820\n52441 66598\n18562 37031\n17791 74308\n8235 44122\n26375 49236\n58853 59708\n18945 47849\n16325 61442\n18763 37662\n53563 66102\n22879 76365\n27997 77521\n68574 89008\n6922 86832\n75769 89229\n7110 38869\n35724 98357\n30696 87819\n65637 66454\n10881 61730\n20670 83632\n51618 68857\n15986 51006\n5663 29030\n1934 58704\n26583 90007\n52415 63900\n31823 95700\n32081 95576\n1147 76418\n20212 73571\n36927 63204\n3569 38516\n6748 55556\n62240 97150\n21052 23762\n33442 85375\n30727 54322\n2955 31743\n16683 36434\n7723 66758\n95436 96357\n60794 86131\n11830 30588\n58072 86857\n29343 39749\n62181 69922\n4910 96515\n26975 64134\n13103 48076\n54546 60502\n21303 84545\n19656 54085\n22357 24052\n19770 70186\n2502 92176\n18044 45777\n24795 63030\n19629 71931\n31467 54028\n68037 76578\n35513 98175\n45416 72083\n64116 91056\n31130 81678\n2827 29765\n6409 60210\n74467 90294\n63650 90610\n33226 66427\n29495 45263\n28588 89334\n36418 74251\n9809 69567\n14786 39456\n33678 66760\n17903 18290\n20167 75505\n33001 37521\n37828 72424\n12349 38307\n15376 39967\n20370 64554\n40490 55712\n16153 29742\n11760 43598\n14405 82950\n10714 68512\n12595 76945\n8257 8545\n83726 92984\n1128 30458\n65053 91122\n7125 17775\n20000 24170\n12333 51746\n32811 50376\n28294 89689\n60175 93557\n40653 68593\n37067 54747\n66065 80870\n51622 75296\n49049 87628\n16030 88776\n7580 92410\n44388 77769\n12891 20385\n20712 67285\n63148 84138\n16230 23950\n6658 69833\n39458 55020\n38438 66186\n25163 80405\n2429 79065\n21533 63489\n43832 72898\n30109 68811\n8685 90269\n16064 45962\n41847 42110\n51433 86282\n51674 55252\n19087 96094\n11771 69868\n66229 70596\n4636 47856\n83394 87941\n25388 94860\n77307 82531\n8082 48744\n45189 56683\n6125 62424\n20735 32746\n49199 87659\n15725 26947\n8101 66282\n35099 45943\n69150 72682\n5980 19978\n42407 76477\n51911 97063\n12487 97197\n40439 49789\n13119 77395\n66894 72485\n29470 32563\n447 43021\n31148 64376\n36799 45545\n59923 97617\n34262 93736\n53744 61273\n22698 89388\n17463 39635\n95551 97880\n6559 29513\n26795 50234\n8120 48198\n55039 77939\n66159 87299\n29542 51173\n48476 62915\n27445 34114\n30782 68462\n1035 39771\n12199 74677\n10805 51615\n64612 80026\n14327 31541\n29719 57643\n20498 33603\n53695 64331\n164 96608\n72872 74178\n17654 66960\n2091 46812\n30311 99989\n83444 98310\n24782 98738\n3910 99196\n22912 86895\n51851 85840\n68068 93556\n33993 86780\n43376 79179\n69386 79722\n10395 98548\n39021 57763\n31750 81911\n10878 45282\n65674 98160\n452 55130\n13541 18333\n28336 82639\n48905 76023\n2672 33371\n44076 48165\n85185 89682\n75205 86768\n42526 47534\n9313 54719\n17272 44752\n9988 63581\n15705 42577\n39049 79803\n13783 57909\n82360 95200\n17666 80133\n20666 50089\n37333 69630\n38057 91095\n8848 79347\n78842 98649\n28524 56555\n16445 85806\n24023 28725\n9722 88887\n31012 83180\n8038 80599\n4545 21968\n1640 2189\n27645 68827\n75548 81618\n42173 82779\n790 41250\n7609 26033\n59530 89298\n26283 35416\n67691 85159\n12589 43831\n70572 92482\n12531 49748\n11240 30209\n6376 44336\n6962 35694\n65434 78837\n17504 98118\n38648 75797\n31634 37014\n19035 63754\n70993 91384\n30297 49109\n21909 45094\n19982 21246\n66108 69348\n14649 49372\n35528 65713\n13315 60550\n16697 38500\n10128 41742\n20352 69708\n20301 25352\n59948 82855\n11950 90908\n15031 78411\n86118 92028\n37637 66058\n14364 82299\n14328 16645\n13128 32465\n22924 56778\n10262 65089\n67921 81809\n25879 64489\n24005 88378\n9490 59052\n1043 88242\n58514 93622\n33437 43219\n9227 97144\n48507 50013\n15074 86570\n22931 84709\n54657 59773\n41003 61647\n64760 92150\n7048 12347\n3427 15204\n2962 9876\n21301 65069\n11254 36178\n31216 84964\n44957 54195\n70999 89918\n40816 63001\n20731 33635\n23595 69656\n58677 83260\n3047 22794\n24348 94089\n78540 90411\n50920 92357\n52037 96431\n2839 27414\n65397 94455\n7471 98299\n81803 90872\n57527 88056\n23830 34397\n2199 6186\n6163 26746\n24107 27967\n21925 87785\n2775 72685\n37904 55979\n58635 80460\n6525 75941\n1641 52913\n98949 99788\n10345 58237\n38647 90728\n23984 81275\n3669 56127\n18757 94535\n35603 68607\n2221 36921\n53129 60223\n23509 29342\n12317 63287\n51149 68823\n147 88506\n43999 82614\n57862 63541\n971 52939\n28025 34250\n38529 64705\n86195 99975\n927 57724\n37650 54681\n30466 32659\n51454 84247\n60977 85031\n1392 3844\n9993 43553\n52113 63345\n65109 65511\n58897 64284\n41226 78172\n5847 70770\n52036 94974\n53620 82849\n81177 98135\n20202 51829\n3824 91100\n31152 64135\n27820 82208\n34667 38632\n13151 92271\n32449 62503\n66668 78276\n14773 52252\n49521 90039\n43530 85139\n9737 56894\n20174 55664\n4145 29308\n40441 74122\n54044 76098\n46924 60921\n21638 71531\n6913 25843\n35603 49964\n9879 16918\n24475 86717\n51478 57439\n10108 75258\n53305 55839\n63281 84181\n56602 99445\n2437 29390\n62803 86600\n49508 93562\n9376 25536\n4547 66172\n61449 63093\n1455 35566\n48364 79307\n19213 47468\n52138 71066\n2048 66432\n57955 62194\n25503 91262\n27383 99316\n50595 65720\n9747 92294\n24055 61576\n60893 87738\n20778 66243\n14635 73016\n32993 96792\n5699 59923\n1474 62223\n52101 54131\n33655 99686\n25934 62260\n47474 54087\n14391 52048\n22010 73291\n51920 70150\n40430 87797\n877 63937\n50428 91261\n45602 94752\n34989 63671\n37935 94741\n58800 87608\n32303 47257\n20135 26458\n21019 60807\n33670 56642\n25958 91132\n67821 83815\n4716 29038\n3849 89180\n20396 35227\n70740 97737\n77886 84690\n38378 83878\n18611 31959\n13685 66290\n49332 95391\n29876 52562\n33345 61585\n33130 83929\n24608 48056\n26342 31917\n2138 63356\n26408 32548\n22609 78881\n47999 78376\n53101 81814\n23435 35386\n37746 86387\n38332 63590\n44785 57523\n9970 16964\n6451 97012\n51965 94808\n1302 26992\n16384 66618\n3889 92145\n46246 73929\n65367 79389\n17634 38465\n21393 35111\n49675 62756\n12250 69655\n19216 94592\n17306 55346\n36365 48219\n36968 41318\n18765 39143\n59094 79097\n7626 45548\n59615 91551\n12272 32772\n56967 98402\n19019 78806\n50968 53389\n40214 74021\n71353 78326\n12348 97268\n34126 99242\n39032 75741\n36729 42073\n70419 74171\n22361 30698\n23080 91430\n18683 48305\n13825 23426\n20635 69083\n18324 78604\n68263 79498\n38694 64178\n10782 38509\n45922 66149\n13371 85441\n17937 80030\n42979 62688\n48419 89874\n38144 43848\n49514 88880\n9630 68977\n54101 78277\n6824 62259\n4013 28460\n4061 5395\n3864 47507\n17412 40097\n59619 96624\n64555 95149\n3362 95144\n41553 67060\n21673 45075\n15286 36735\n33659 83922\n6276 33291\n55994 66484\n5826 94856\n49588 53669\n21508 83225\n40949 85715\n5782 24708\n30984 34323\n45930 46341\n48675 60209\n19099 85303\n21823 23454\n7956 97856\n11334 79737\n69066 72125\n28561 57026\n51297 93790\n63380 75657\n50271 54520\n28374 45891\n39473 45134\n21425 49887\n4762 72222\n36919 73629\n48061 56345\n9993 53818\n78839 83459\n14144 31024\n31031 95611\n34601 51405\n46888 61581\n89438 92241\n14731 37131\n24896 47776\n9620 83093\n24638 55789\n79145 84275\n50671 94210\n45702 87560\n21504 30192\n23912 96071\n87629 89659\n59077 64556\n507 81402\n63098 77085\n23521 56467\n37862 50352\n9301 79899\n13868 40702\n6643 19807\n45470 87494\n41080 65737\n11993 31134\n6282 51377\n75618 82346\n37654 70827\n2297 46467\n21690 91256\n32664 79994\n37657 53761\n12643 40263\n5611 28992\n38878 84526\n34411 57814\n32819 68299\n23804 25987\n46553 55238\n61783 71191\n30187 59880\n73714 97394\n18630 70210\n5315 70456\n2287 20065\n18933 62476\n63044 72918\n8816 28125\n52356 73268\n3074 45023\n13592 68805\n18866 62195\n44809 78776\n28722 57438\n14014 66315\n87076 89211\n16933 36038\n26376 59114\n61594 98550\n1047 17750\n60557 88710\n22140 71682\n25741 99303\n68829 75707\n43525 51039\n3515 66686\n4393 97819\n38981 81173\n31977 81789\n1735 57868\n6903 17047\n47951 64663\n13394 84822\n57450 70244\n44572 94043\n11716 24493\n3771 87363\n42837 61764\n69127 97189\n2790 80605\n6506 80711\n25452 43398\n22496 57497\n37039 99383\n2660 45001\n20143 23703\n178 16024\n45404 47899\n30941 74966\n19668 63266\n18441 36759\n37834 87696\n12228 92444\n3431 96665\n61 29456\n53584 85892\n4534 75487\n38499 80947\n62703 80763\n25312 42143\n40889 50800\n5057 69044\n8830 24740\n18562 46181\n23097 87603\n61326 64208\n63802 78273\n84076 92356\n13905 53433\n31565 32967\n33942 35701\n1036 68846\n61296 76796\n11564 38075\n14145 88320\n73487 79228\n31265 54202\n8633 88333\n26784 30246\n26730 48184\n35934 36590\n53485 87960\n2196 61432\n9532 10780\n4538 63238\n34030 89725\n17275 92729\n59229 91032\n5979 96062\n57345 97510\n49913 84557\n4518 82882\n59145 96359\n28536 56904\n23231 44830\n4469 60690\n16562 75668\n17540 37165\n67014 77267\n67141 82845\n14668 99924\n55779 76344\n58313 76292\n61713 70158\n88147 93921\n8775 20475\n52844 68116\n23439 94904\n20678 45463\n43427 58283\n8583 96704\n30487 82788\n39532 78701\n4616 49105\n73930 74931\n68780 78073\n15511 51529\n59910 66501\n16293 46803\n38699 60944\n76161 98890\n3555 81992\n7219 42264\n13037 27253\n35948 66035\n54574 66419\n14631 17778\n15598 44032\n1429 69039\n59035 82919\n65354 91483\n7876 64731\n20502 74506\n17284 74803\n44656 89859\n11022 84174\n63305 84455\n19647 80732\n8332 21530\n3274 70173\n3549 76721\n35492 45322\n15813 27483\n13667 98095\n37753 46719\n47893 98461\n19122 65899\n36882 95925\n48212 68841\n16592 98701\n50653 52833\n93083 96986\n50984 69625\n69634 96747\n92971 94073\n14417 66908\n22170 54213\n71879 75755\n588 44153\n28543 72774\n43657 72042\n28193 39961\n36769 84698\n15636 66628\n48193 78914\n23825 54806\n41892 98895\n11762 51597\n39082 44786\n46087 99216\n61125 99268\n49911 73636\n20855 37870\n19050 63747\n45305 76751\n53621 74546\n22132 83954\n16070 37783\n15613 60674\n21110 36836\n42340 90961\n15502 17553\n54150 80844\n66509 86084\n31771 65541\n20413 63203\n8507 11832\n36183 59841\n8582 24347\n51284 61554\n11457 35264\n78212 99850\n19798 33683\n38958 95768\n39330 47614\n41342 63265\n36679 83908\n34380 66243\n8007 60765\n20746 69660\n19009 86325\n60036 65398\n19574 75173\n70932 80168\n39145 93251\n51870 52094\n31137 98720\n7633 75658\n10563 15813\n10333 29380\n12866 52621\n68356 98638\n53273 79071\n19835 62524\n10688 18386\n46984 95257\n60494 83901\n644 82628\n69608 95659\n71362 86471\n18825 53432\n16154 37103\n19161 31384\n33342 43784\n21292 77203\n669 32099\n37340 80330\n27108 53654\n24855 36324\n55367 91639\n64776 88218\n17504 62168\n15806 32341\n21106 97715\n4137 65480\n790 68526\n23009 76415\n86764 91355\n33614 96002\n17831 81903\n19955 49632\n36294 86707\n6837 39422\n42187 45284\n31441 51395\n12045 43687\n44096 85061\n36973 86663\n11657 86285\n39084 55583\n75543 81398\n43531 96635\n67682 96147\n34256 36292\n44316 83698\n52152 76434\n44249 48974\n21275 38296\n76571 89986\n21253 34214\n11053 59380\n60329 63603\n30190 46004\n35402 77547\n53805 62841\n16519 62103\n23341 60832\n18267 31224\n77129 94821\n13667 66991\n63908 67120\n6589 7599\n64717 93895\n69576 70005\n76977 78038\n117 66131\n59316 62481\n12994 56074\n52441 67879\n68980 76050\n25795 28152\n48366 61658\n14750 62911\n26144 48134\n24963 49786\n54584 82786\n42249 97282\n4933 37381\n51447 75832\n45112 90165\n57130 67762\n21627 60571\n81537 95825\n29622 72752\n16969 95417\n47913 96882\n48438 81837\n81775 88127\n16575 50973\n65491 96669\n31388 34111\n27253 67676\n70616 86875\n29477 31099\n44373 99101\n59260 69091\n20722 46879\n46582 71095\n23784 91017\n77357 78731\n54402 93788\n15271 63129\n5991 95453\n27975 51163\n57204 87225\n58115 69307\n22647 87420\n3031 95548\n14312 58631\n15049 55850\n70449 80775\n51020 95355\n37788 45090\n20433 56374\n4303 87455\n54591 68238\n26189 83564\n85008 97441\n26931 80456\n17195 81001\n38882 47321\n31435 51386\n45641 54578\n69818 88722\n50540 76603\n44066 80357\n29874 40153\n3201 94280\n40011 48820\n52988 59309\n3789 23719\n43461 99467\n22690 96310\n15861 29679\n52780 92592\n11693 97521\n69213 88747\n48604 73462\n13866 19572\n38370 63621\n8508 86577\n34162 67684\n69243 86971\n49935 94279\n50673 85116\n3883 64742\n40290 61513\n48177 52330\n36127 54773\n11109 88076\n10853 64705\n8026 16502\n34747 97525\n17404 52322\n1882 54713\n39055 75123\n28884 66867\n21990 80778\n63180 74366\n8994 33748\n11200 87192\n5795 52044\n17623 58705\n31952 47786\n18895 76666\n23931 83035\n14107 95411\n4008 39833\n24601 49088\n47282 86976\n53797 72244\n20418 73640\n9581 51112\n10971 92163\n37758 43797\n34008 81371\n30724 36153\n5956 99855\n5415 69080\n33494 97546\n42808 89178\n27087 93611\n28236 76133\n3203 81504\n3630 68226\n64077 64235\n41512 74339\n36929 37520\n51730 74578\n3970 8971\n12436 45123\n9589 20566\n32864 74482\n29946 71438\n28578 77568\n59212 74369\n49562 78511\n16622 57334\n17635 79238\n1129 6706\n20412 70019\n15259 70380\n5932 57878\n50329 73909\n8976 60326\n20403 75038\n81189 92339\n48909 57131\n44965 67102\n8714 59320\n5131 97299\n70163 95275\n7829 79821\n14871 55496\n50976 79383\n44493 75179\n42544 50460\n4992 57458\n23494 26111\n64479 92506\n74666 93543\n43292 45116\n23955 79086\n1165 48491\n12658 16618\n7258 82223\n8381 78791\n54671 97515\n28569 28923\n45085 82046\n18443 29605\n72941 89288\n9218 33422\n47514 76727\n42491 93997\n1719 85940\n6691 50030\n12284 46914\n68112 93829\n64352 78733\n4170 55429\n3050 67774\n43489 64513\n33283 76902\n14703 36828\n9495 89173\n687 31282\n3113 7092\n72986 83756\n16347 76653\n11102 35161\n8496 68465\n63854 98448\n12937 78186\n38084 94570\n27630 83034\n19731 58920\n55466 58094\n58324 85069\n29136 92480\n12583 36723\n33085 60452\n31887 84559\n62952 76275\n9419 15834\n79896 85638\n41714 61301\n82664 96298\n33315 73755\n22676 44898\n66148 97024\n2693 61970\n10114 98963\n3067 87765\n37953 99164\n2915 80210\n61896 92294\n26550 37692\n83997 92350\n29754 29897\n6191 7189\n11151 29176\n95673 96763\n47659 55711\n3080 89047\n1460 40203\n29036 85417\n54085 77276\n22819 43144\n16046 39519\n4681 5010\n14628 94583\n45449 73585\n15395 66769\n8972 48582\n6043 57627\n26097 47364\n28022 62730\n13248 70691\n9807 54663\n4012 62164\n45331 75724\n22386 93762\n12375 78896\n25281 43704\n6193 72110\n17766 20473\n9322 76918\n73820 88703\n49790 64158\n17790 72102\n6973 32839\n23411 96037\n24409 61389\n31953 55782\n36161 93508\n49206 84257\n83121 98006\n69192 92173\n17599 43031\n47055 64392\n47730 49405\n52887 98077\n79687 84662\n1157 8184\n16056 31481\n2516 22763\n49155 90891\n30922 50555\n44091 45678\n51110 54219\n3603 95311\n83255 89878\n11036 80069\n40575 78947\n23574 96301\n82423 96663\n841 35766\n35471 51775\n10220 61127\n22881 97109\n42743 87993\n477 5724\n61543 73313\n75701 81974\n32466 86150\n28722 78594\n37559 98612\n1054 67069\n59761 87114\n28863 86310\n7054 51419\n4033 97365\n41908 75622\n17304 19125\n79088 84614\n47237 47400\n23078 41175\n68530 96004\n26540 52182\n38699 72684\n19147 30584\n26768 87521\n30543 81185\n34320 77039\n7607 85042\n26609 47723\n17775 83913\n34307 97673\n9038 72674\n10815 95280\n8561 23506\n59742 92697\n15795 48361\n116 56033\n20769 23047\n91582 93559\n17080 84895\n25149 80917\n61191 98720\n26886 37466\n18384 51606\n71609 85712\n2816 78868\n13517 79335\n28518 29998\n7439 70776\n45989 71135\n90766 92684\n41482 48780\n1032 99687\n5937 98508\n21522 47632\n16447 25516\n23078 39964\n63996 83759\n14728 36938\n27000 64066\n55185 71616\n2683 82678\n64034 93454\n20798 51136\n38147 44488\n41431 96770\n9123 62095\n75988 82575\n22309 44389\n57892 62223\n19894 63947\n48968 55105\n20779 98783\n24151 97755\n78709 85723\n65262 86814\n12720 21530\n6661 8624\n4706 96944\n62490 90260\n1044 53154\n19149 93921\n79067 95378\n19881 78922\n48273 75286\n25675 99690\n2618 3388\n14952 64590\n15933 57776\n24561 60445\n22807 54422\n9015 60570\n38729 74311\n1157 69158\n37728 60114\n4662 34907\n81827 98609\n41664 63715\n54304 83208\n2941 16947\n47268 76056\n31572 43124\n49527 91439\n53014 54457\n45483 94121\n8143 41022\n52533 95805\n70583 76653\n41255 95383\n70004 70011\n44240 44471\n14814 17033\n62464 73019\n42729 57528\n6243 69013\n46822 76273\n65118 89908\n384 22577\n9753 43143\n943 61342\n2189 81103\n58824 80769\n8518 42304\n57123 91701\n10072 93232\n909 21349\n30162 47547\n20989 79440\n9191 19739\n68676 90355\n7510 29913\n35216 39570\n6081 14181\n2657 73726\n6195 8823\n29208 33497\n7078 16967\n27678 92280\n66300 79539\n54043 97620\n71330 76013\n48930 95408\n14968 16370\n12641 20789\n19637 73494\n5530 64092\n59427 74184\n65709 95820\n14093 98320\n56327 64778\n3006 34088\n10247 42157\n42243 98973\n9210 43761\n44560 49407\n13857 80283\n849 37829\n65606 91550\n59647 76389\n15271 62278\n2862 25298\n33166 46507\n57008 57810\n16803 30863\n47338 89095\n34275 85383\n57240 84642\n40266 69146\n33286 52668\n35046 45147\n8570 54756\n9456 93007\n69019 75190\n53422 70843\n65373 77583\n26135 34121\n64581 86189\n28718 50779\n40739 88872\n28133 35040\n24266 36011\n20923 42978\n21974 56793\n12404 91630\n25310 69486\n33821 94412\n54362 86247\n479 54117\n64573 81053\n79584 81650\n14788 97137\n8905 55709\n28469 40742\n25135 75846\n23289 30239\n65511 83254\n31870 72832\n66297 83791\n69626 84913\n10019 32505\n30397 66199\n443 9183\n7412 94664\n61113 76097\n21207 54169\n69839 93918\n16541 79696\n99938 99962\n41460 74076\n48759 49493\n1000 63439\n32564 38640\n59529 96752\n48805 68168\n15791 57339\n28643 65658\n6790 74312\n13318 25252\n50287 53556\n26836 27565\n5995 65140\n62 38604\n55066 70729\n36824 46250\n43856 74709\n43010 74120\n12203 35438\n22221 45557\n5605 61504\n71132 77169\n47193 66147\n8900 11073\n50387 64942\n34388 85899\n28701 59031\n9724 80853\n17458 56186\n93657 96590\n50060 79929\n277 28972\n63153 85792\n9526 37629\n10032 65284\n6761 67159\n6532 43229\n30084 92810\n30996 84605\n18727 77168\n5225 70483\n24803 59224\n2343 79177\n89777 90966\n44539 49447\n5506 97982\n91530 96671\n1605 85489\n38827 68636\n15247 64182\n66914 95052\n63707 68896\n1372 71018\n2945 25618\n15093 65263\n56133 68994\n20118 59723\n31470 85896\n12696 24657\n34703 75624\n52893 57988\n16162 37996\n37623 65866\n76568 96322\n78353 84874\n14337 22736\n61122 71216\n89148 98211\n25956 43330\n41899 44627\n18910 95087\n64992 92171\n30347 68498\n27318 36586\n12837 76266\n67948 91212\n43202 64151\n31870 55701\n31055 77133\n17771 27206\n16125 88469\n26958 83530\n27331 69765\n8752 59216\n23407 38496\n60339 97258\n55164 87984\n49857 62825\n13257 77420\n62566 68544\n64522 78344\n9472 52746\n46686 83267\n11571 23512\n38267 97062\n39165 85530\n18046 92867\n78935 96102\n4146 28194\n6143 84730\n88861 97353\n43729 64885\n60912 83649\n11798 80092\n40103 69534\n51807 58484\n20735 73338\n51404 64097\n11334 35535\n45770 49533\n97878 98428\n30643 30798\n13413 92072\n14828 63441\n81165 91629\n45279 56086\n66183 77823\n12274 44124\n4032 69629\n48925 93259\n56023 82978\n19244 65827\n36642 60092\n46181 82201\n6420 89188\n9381 70687\n49360 94357\n78823 95030\n93688 99246\n5314 81414\n21452 81691\n34120 62738\n77567 93660\n28630 52537\n3106 72584\n29691 46004\n65475 81110\n25592 57155\n51568 76322\n56689 80873\n64616 85182\n40357 59075\n43467 67973\n48792 60410\n29659 86428\n1714 21176\n24095 95063\n6783 66507\n24695 61630\n32550 37412\n19741 59247\n71162 95016\n28217 50194\n1065 74765\n54285 67898\n36002 69265\n11003 57983\n21705 40881\n90193 97750\n65401 99039\n31221 64161\n19613 47835\n23937 37540\n84092 86657\n17136 71951\n2868 97481\n36303 60055\n19671 30113\n48578 78754\n58238 75187\n44734 55854\n30618 75446\n42806 49592\n64807 77758\n12344 59200\n13815 95484\n36164 48930\n135 66023\n8783 13855\n67331 69887\n4056 20526\n5413 74743\n11073 61999\n70065 99041\n77753 94727\n28279 99250\n31444 73402\n35173 89654\n57739 95003\n32279 66694\n897 31674\n28668 95452\n36450 61185\n30522 66859\n29527 77152\n45469 99506\n12722 15842\n92726 95383\n29932 65829\n25278 38635\n41696 55161\n11336 69067\n30433 49298\n9637 11726\n34054 90560\n56866 82570\n18168 72903\n34999 95952\n77272 85968\n5161 87457\n53399 57673\n79112 88126\n67375 99237\n27907 79895\n74633 83830\n72580 96078\n40705 90672\n20566 62374\n1879 94448\n706 89370\n12062 75035\n41954 78703\n36807 92080\n16510 52691\n66811 88518\n50881 52249\n60003 86900\n16984 72661\n88164 97394\n53500 71085\n19421 23901\n7362 88548\n6053 28250\n45855 62231\n40046 79262\n11125 68098\n9279 45984\n23518 94595\n22117 27457\n46940 57265\n35878 58926\n6731 23089\n38404 49764\n65557 97159\n12791 15344\n77788 92507\n44880 57431\n80 63343\n43323 65961\n11064 87801\n8990 36832\n39070 56909\n62523 79811\n55484 71942\n53163 70551\n21542 60554\n2549 35664\n7516 31823\n81462 91081\n23484 49804\n2008 30524\n12259 55181\n5462 84653\n10188 75682\n33484 36899\n39734 63888\n34453 66927\n27969 54056\n32494 72997\n50469 52571\n41138 99423\n8826 83530\n66042 66417\n4566 74018\n19283 55528\n83023 85149\n52410 62854\n22599 75602\n54897 62210\n69370 75979\n5557 99291\n64957 97304\n487 48271\n55037 56629\n42643 83340\n30611 67386\n36472 45444\n10465 29068\n7270 26940\n5505 78251\n5714 31924\n1296 64187\n59816 97668\n1883 56543\n28975 75368\n59821 82299\n32663 79688\n1792 18872\n34078 81372\n14308 73343\n5606 99546\n17475 32197\n61962 91025\n31584 67547\n28280 80758\n23870 26711\n41031 81587\n13844 78995\n58213 59258\n17365 76765\n24539 85263\n31471 70964\n34041 58235\n65622 84660\n22261 23489\n15062 18647\n5847 25138\n27100 38485\n41337 61476\n15242 89229\n63557 86791\n7727 95047\n77449 91622\n24822 29327\n71294 84710\n7410 18853\n6419 65680\n38347 79756\n14660 61407\n11181 43286\n7241 37616\n42287 68034\n28506 93847\n70484 83957\n51853 92299\n11447 94740\n18561 50344\n61274 69941\n35526 83546\n36557 87909\n4028 25118\n73121 76376\n37909 77709\n12264 26944\n4311 51028\n41029 74911\n12494 53244\n2938 98892\n34359 69912\n17923 72174\n49163 67626\n46328 72385\n18780 85381\n48835 50838\n3962 26098\n2771 83595\n77062 99298\n22078 65667\n30078 58675\n30616 57572\n25060 61050\n3656 94217\n78458 82133\n49749 94616\n8758 57329\n16769 73947\n56381 84760\n35773 65283\n3396 11150\n6194 96891\n60807 93108\n18951 62211\n4404 55108\n5821 80313\n34238 68611\n84094 95124\n84635 97813\n2529 74944\n9968 12222\n84425 90672\n5762 63418\n2162 21959\n12575 35767\n64463 85742\n31788 58310\n34134 99644\n33342 43162\n21539 90651\n61332 82522\n11369 41079\n13696 33894\n54079 68369\n68116 83476\n36663 75127\n29270 38717\n47688 55062\n53708 85635\n24229 64148\n97288 99708\n77240 91767\n6910 25938\n8420 37331\n43511 50053\n25871 27359\n38019 98949\n23679 86576\n46816 77085\n28548 59407\n24762 95750\n1013 56358\n3087 90253\n30107 66698\n49201 98631\n47555 52028\n6159 62846\n40072 44345\n31174 58349\n13959 92563\n26511 92329\n9932 78715\n25182 47229\n17594 83507\n48701 55211\n59207 87010\n65020 74604\n2963 62044\n26856 38766\n2248 73659\n18178 79370\n37342 79035\n57280 69301\n19181 22588\n6106 55711\n31082 41524\n40743 87098\n3427 69290\n39421 74296\n89517 94148\n33790 43820\n66285 74591\n13940 34830\n39614 46633\n28492 69568\n2398 15870\n24370 64937\n16137 66458\n24091 53061\n58507 69179\n53564 64145\n70067 85540\n85321 86910\n15094 51393\n75321 95414\n34271 60132\n46237 55172\n16987 19796\n36769 94709\n8648 84391\n32705 78713\n6948 45692\n16127 90266\n2036 62865\n18408 77883\n72784 91205\n684 22719\n25906 98426\n5883 69646\n26083 41237\n28139 30765\n23885 36213\n15134 81421\n37408 87971\n45172 90365\n286 35365\n49701 72248\n48607 81209\n23397 55767\n46503 84751\n12766 69286\n383 92074\n77572 82113\n42917 63287\n10198 19298\n14924 81231\n41142 63441\n45332 63745\n846 21038\n36201 93616\n4626 75819\n6299 52974\n16127 55807\n17204 82820\n25379 32930\n14271 69830\n51218 98778\n54808 86816\n36670 87692\n28525 41399\n35122 62515\n26060 31844\n26760 33560\n40764 41352\n12033 17129\n59954 90695\n34485 76456\n31083 32487\n13688 24390\n83266 95590\n55165 80824\n2124 51149\n54458 77533\n35133 52360\n62211 66063\n3342 81956\n1967 55386\n57024 80041\n52591 95263\n70042 97052\n58859 80387\n21119 75079\n46319 86711\n43362 62042\n52372 65428\n24805 76909\n10377 96106\n70900 99857\n53536 71278\n15163 64353\n14104 78403\n36764 89463\n73710 81391\n1857 91175\n84280 90550\n27407 59915\n35858 45397\n7991 10687\n18371 40325\n94270 97188\n91889 96891\n60976 89049\n77981 81646\n3739 78959\n1596 98054\n7689 48260\n60982 75276\n42362 46871\n49672 99965\n25121 63824\n25548 55538\n242 58575\n27739 97188\n2541 94074\n10475 99723\n39368 74960\n24535 92654\n49769 81190\n61534 70293\n28548 64460\n26320 71263\n74750 90460\n74069 83689\n35112 84143\n20599 71176\n48155 97674\n5924 23912\n37320 54683\n10845 32707\n12114 25669\n73698 98827\n17110 30546\n22472 62548\n12892 61218\n46584 94780\n56781 77721\n35896 47817\n29582 36855\n10758 81942\n88452 90622\n15221 82031\n47042 48586\n34118 88779\n36075 88760\n34085 59573\n55274 88659\n60886 78135\n20981 71674\n63112 65051\n10321 44788\n17045 57453\n22682 57233\n23795 71964\n47229 57207\n45396 80800\n8412 40987\n22421 72555\n31565 91380\n10199 83979\n33570 51026\n2032 72656\n36728 46722\n10510 28241\n1749 14590\n11644 70511\n32769 49673\n3913 45935\n62919 64188\n5942 53006\n36304 48679\n45544 53308\n42611 80748\n66134 98646\n378 91677\n8789 83665\n6459 48266\n79067 95097\n28842 46467\n20731 34980\n59313 86181\n55429 72459\n47758 63509\n53322 54387\n21371 38642\n46114 53991\n44592 56019\n8091 83994\n39532 95854\n10422 66663\n22592 65151\n65633 71934\n9346 73930\n12994 81573\n57942 59687\n34288 81525\n24099 51814\n53968 85825\n70372 81934\n65510 67196\n9343 34444\n29159 62797\n70260 74857\n53506 64490\n31917 44488\n63203 94525\n60902 66376\n11881 30975\n10791 78333\n32872 86234\n1957 26221\n4596 20027\n5640 32692\n21499 92402\n18851 31769\n87756 99499\n25193 85917\n22722 96370\n91228 99761\n30030 53659\n16781 78085\n25033 67544\n29468 41710\n36725 52283\n21272 56189\n37350 41377\n1097 41052\n50650 69681\n22100 29689\n743 58483\n52096 76777\n37621 44368\n9181 90699\n40251 78340\n14606 23443\n53445 53692\n65319 94235\n55716 91026\n17455 71401\n52492 72257\n37506 52587\n2197 91150\n21218 64085\n2714 87504\n35688 99701\n16543 18672\n11206 70532\n62536 89644\n38450 48278\n74029 82215\n38351 79137\n60666 64055\n13186 34980\n58973 62203\n40260 79602\n11474 83591\n89796 94090\n11713 69434\n53344 78534\n45846 73735\n16128 34959\n23401 54904\n16513 34528\n52976 72844\n60965 78454\n32636 32935\n8932 21726\n26244 47864\n73510 84369\n20093 59868\n50418 59179\n55721 96545\n66041 77058\n8872 72856\n2081 75005\n8461 34026\n28237 44357\n38616 42584\n24274 95874\n69428 97699\n42058 74329\n2625 77367\n13211 39326\n52544 73074\n59441 60594\n20491 69278\n59729 60031\n15417 57732\n6024 31271\n29795 84513\n46334 81651\n10930 32585\n4871 6561\n66030 87166\n12994 60643\n57867 94959\n32617 35397\n21794 75901\n4403 69569\n82087 85314\n20602 92004\n72039 77872\n78416 84888\n6090 12948\n7071 7820\n60717 70306\n11809 40816\n91837 96318\n12930 58159\n46927 82242\n20662 76758\n5677 84100\n12922 19843\n7661 84408\n33386 81110\n85788 86351\n18477 25480\n9760 84490\n44674 84420\n22423 23764\n31822 32006\n39292 92112\n38149 84251\n7534 34251\n61779 68122\n34382 98636\n90944 97065\n61596 85404\n76897 82326\n53770 76653\n76924 94628\n4671 31422\n25741 67924\n59297 74088\n858 98535\n27546 34565\n33000 99766\n25078 69505\n43494 86252\n40630 58867\n46169 56047\n32944 47260\n9994 65916\n59682 92345\n78653 83084\n41159 85195\n25784 60617\n9857 50344\n20454 57524\n37215 43317\n33966 81329\n16260 35791\n17175 43101\n10903 99265\n45592 85456\n9690 71868\n15519 99046\n35163 82738\n39795 81909\n11547 54821\n49112 88540\n48278 77988\n70651 79365\n15432 48424\n66161 85895\n6201 63715\n37026 94819\n12856 48782\n22977 86738\n55340 62249\n35311 87829\n39826 43144\n53689 84707\n12169 42583\n27294 97682\n49373 95908\n8548 26746\n10601 89388\n19716 81133\n6923 83010\n51908 74804\n51131 66857\n81632 88980\n38243 71546\n71880 96304\n2304 56518\n39692 75968\n49944 87899\n16638 31372\n50956 89272\n22882 98650\n25500 76872\n45 11892\n11398 32087\n56756 65210\n45030 99049\n54303 88996\n17655 69889\n11102 77691\n34181 74678\n10226 49154\n32947 78022\n7631 33888\n70293 71467\n44770 77752\n48563 90645\n38281 79711\n54728 76601\n25955 68350\n16660 27938\n31249 86746\n40899 65762\n20787 40322\n25357 25800\n31457 62804\n28354 54353\n71010 82020\n93812 99154\n16935 76570\n23649 48276\n42463 93120\n73903 77693\n68474 82352\n45877 71742\n2531 90651\n5881 30720\n71003 78907\n35233 94323\n21824 65031\n25431 27570\n6827 32259\n27434 62299\n86389 88693\n7639 12669\n35189 54727\n30226 60303\n50592 80898\n6129 76999\n32688 49301\n62377 96833\n23996 85821\n73833 80874\n28019 81410\n26761 72762\n45392 69058\n58274 82575\n70464 74567\n86341 91339\n34244 38012\n1055 54808\n52004 53287\n36636 65705\n25781 40713\n17807 64846\n53156 85624\n22320 47740\n55681 72733\n10138 54164\n9472 26086\n1696 38600\n20022 77812\n1050 47935\n37069 63654\n55606 81749\n41888 61542\n18332 65726\n10970 74401\n27730 47636\n31053 44649\n21177 64600\n7906 39286\n6053 63922\n60020 70227\n26410 26679\n13607 86592\n7437 61360\n7207 97875\n58700 61091\n5693 10184\n41620 94753\n60940 96867\n44738 48015\n18569 67115\n27768 93653\n73985 77874\n72507 93984\n15081 79686\n54461 96942\n86415 90295\n73203 90300\n41091 68842\n2859 20854\n88110 91286\n46994 60216\n21953 85077\n37963 85782\n70974 91187\n36501 42653\n81063 84360\n74445 81402\n11356 76961\n23410 89267\n68559 95623\n13632 98906\n50668 92565\n35977 81690\n68099 70083\n5878 63644\n28924 62985\n23362 66866\n46749 94166\n36784 85916\n6778 23712\n2651 32508\n14348 89613\n46410 79278\n57132 68588\n31497 55441\n31624 62637\n33110 56658\n67345 74213\n20702 76449\n9633 53042\n46426 67969\n78879 90084\n9377 33429\n20794 31675\n2988 99914\n15706 76986\n65334 73299\n46395 72437\n15532 98106\n61604 74197\n45455 55536\n13752 89282\n20671 76528\n35840 64508\n60145 85435\n3437 55924\n4539 17705\n69834 92128\n30172 52361\n14203 92285\n30698 50014\n6983 50325\n44227 52364\n49624 67032\n14256 21670\n25606 50047\n64663 78967\n3996 49918\n33814 53944\n68402 95315\n66936 79143\n33878 54863\n50351 76637\n15080 34720\n8429 87671\n14916 98478\n30603 46907\n2151 28390\n15427 62296\n23109 97259\n2173 60153\n865 36920\n48672 69219\n5649 55804\n17821 68357\n48269 59917\n19286 73865\n57353 58992\n1362 49146\n14830 55058\n9653 96700\n61341 72611\n8319 47089\n10252 32667\n19281 29010\n21793 66770\n24031 69492\n80905 90812\n25030 49380\n41779 77150\n45161 93084\n35880 79157\n82467 93287\n11830 63642\n35214 44043\n33287 58278\n37198 87952\n57918 59137\n19804 79882\n52503 78867\n28990 81355\n13269 94900\n57361 63145\n81687 83596\n46118 76948\n2102 69516\n9056 69994\n21481 96865\n28338 93937\n78558 93042\n1346 58728\n1127 12635\n98981 99077\n69619 82651\n15515 81555\n10993 44818\n54679 73980\n46743 87947\n13607 35818\n5209 85917\n11707 71249\n7545 30129\n36545 94651\n73942 78989\n71192 80607\n13997 38835\n7965 63235\n59861 78274\n2271 66232\n8811 83124\n35058 53704\n23581 84940\n57046 61998\n12112 17172\n44888 78669\n559 74133\n48882 72909\n50223 75049\n10032 34342\n24448 28712\n27842 54294\n437 68701\n14366 52827\n45449 77444\n71089 74430\n24841 69357\n79486 96713\n31926 42898\n78996 93294\n15754 97478\n45549 98283\n40152 94365\n7326 20824\n28776 89842\n38006 63551\n20932 90004\n40698 40860\n58163 95733\n79342 94923\n3978 52523\n17353 36889\n2250 80720\n11921 95905\n27906 47642\n23715 81625\n13847 26259\n12309 80119\n64748 91293\n47013 84807\n92906 94834\n60167 65315\n64148 91814\n29435 36719\n44653 65821\n55233 65632\n26606 67536\n39318 93948\n35292 53105\n31172 68333\n5014 28330\n21588 49035\n80087 89020\n1528 1699\n54056 78255\n10552 56583\n44101 65074\n2898 17586\n47019 65326\n24238 92017\n34476 89922\n56448 97791\n6557 10108\n18138 35445\n4897 30687\n42118 73714\n80503 85838\n6290 46134\n14794 77187\n70639 72174\n2545 86342\n19490 84203\n1389 69507\n18838 56419\n54792 86017\n45360 93880\n26250 32574\n21319 40531\n28078 45993\n68639 93823\n13396 78868\n3497 44530\n1681 78063\n14717 28282\n30137 87531\n9163 78355\n45543 50926\n85722 95187\n14419 61738\n22386 85319\n80162 97342\n11846 54702\n48022 97670\n41994 57774\n56794 71467\n35116 39294\n54291 74379\n30291 88197\n1263 80041\n1088 15976\n1693 50795\n26157 93413\n46825 66837\n1000 42600\n5127 81100\n13807 92359\n57927 72613\n22921 93765\n93564 96381\n24615 93771\n10157 91750\n68249 72240\n85048 89156\n30971 52305\n27799 46109\n37995 43746\n33199 60254\n46387 78000\n45454 53850\n6091 31604\n39109 76272\n22822 69008\n5629 50658\n57139 63938\n51995 70880\n49862 59229\n90244 93728\n64610 95096\n10467 81288\n78126 91558\n11073 40903\n1852 36107\n45712 94310\n3761 78891\n59131 94509\n26281 95904\n55090 80535\n59776 74063\n22856 68887\n89361 99364\n18713 56906\n19 29084\n59200 66711\n22345 32544\n35415 83654\n24697 50765\n62891 77430\n48677 55110\n24854 76778\n19883 97679\n5570 65524\n50340 79212\n59249 60392\n77506 88077\n43557 56850\n3272 96714\n18785 23129\n22427 98784\n18406 85365\n19382 39220\n7333 94201\n6310 80223\n34347 89233\n6052 10693\n32102 86078\n58467 64101\n23338 76506\n90793 91896\n52404 61114\n11704 12855\n31521 72850\n2249 20334\n16924 75300\n8600 36981\n1704 21982\n5414 48123\n62796 94299\n28558 46150\n21616 29059\n92689 98483\n11265 55600\n91592 92904\n44301 62299\n57029 61695\n8816 14463\n1097 53442\n15638 99406\n14186 75624\n34683 74146\n60725 94844\n19451 28681\n36906 85019\n51390 76439\n19637 62357\n28860 86960\n24777 33978\n43923 61537\n15591 77457\n58697 99785\n62955 63781\n16455 44066\n5396 43559\n10784 62805\n32590 38506\n5924 22350\n64803 89962\n8833 47227\n91847 93100\n22802 24831\n68703 79749\n81077 87186\n64700 73175\n62868 90333\n18723 44101\n37594 46588\n85998 96880\n62987 89733\n52420 84107\n11108 86049\n47843 60671\n69087 96835\n2222 27980\n7031 41858\n14983 39023\n46804 56676\n1377 49492\n69201 81603\n30383 87987\n52484 96150\n75854 92587\n4835 38770\n47268 99612\n40035 56636\n11223 79664\n38047 54849\n40931 54149\n12486 65536\n68983 73555\n26587 58026\n2204 88835\n54587 77024\n26726 63341\n51813 71790\n11002 60841\n1790 50582\n24507 27011\n62063 77886\n40245 59578\n41555 99073\n17734 50713\n16326 96998\n24685 35599\n11396 93766\n11905 47921\n8892 32303\n7540 62457\n23323 47361\n13554 66242\n59459 78304\n58471 65518\n30730 90759\n1281 50662\n43528 65454\n48410 52411\n14989 55713\n5376 9783\n9356 39155\n4646 82786\n29193 62382\n17293 65325\n73643 75702\n67644 88370\n29735 47719\n25830 39492\n47991 56945\n18030 38142\n629 1260\n24492 38921\n6244 42102\n3152 6816\n18173 46195\n18156 94742\n32972 46580\n41956 54809\n26585 96832\n31600 40406\n49848 81971\n26060 50378\n55707 69650\n55801 77296\n39052 70853\n56064 77149\n22449 95066\n7811 23054\n2029 69937\n37358 67229\n4669 90374\n14268 83319\n22727 41785\n1223 7123\n42584 53882\n12006 62856\n46538 68500\n60329 70274\n17545 77033\n14347 62897\n32756 38904\n6439 73424\n4848 6419\n3863 74912\n18425 30150\n59910 89669\n21826 65229\n40096 88265\n29908 48097\n42923 60436\n17989 75442\n78687 95884\n5474 76690\n46771 68310\n55492 85019\n24963 77195\n50255 96950\n48299 49972\n33166 61131\n14410 77020\n32726 72436\n63634 96609\n17278 38211\n16122 94523\n1821 2252\n11578 36247\n8231 57595\n57865 73578\n10887 86708\n32833 65795\n18518 44547\n5474 52240\n57223 91567\n17536 29349\n14669 82543\n54527 56974\n22835 63873\n42041 67294\n13772 82602\n12599 27736\n52205 89479\n61533 71220\n16446 81881\n30199 70847\n28147 92883\n64343 79926\n29563 62402\n6675 11766\n13172 87010\n19224 45916\n10213 29948\n42958 55501\n27102 49531\n47176 55267\n83028 96817\n24364 70562\n23160 42192\n16246 98119\n68742 87062\n59975 86701\n36296 43960\n66921 80577\n45109 76910\n27579 49091\n32899 64947\n33590 58962\n25967 79138\n22322 27088\n30787 77397\n79901 85272\n424 8775\n48331 98354\n14696 36499\n77352 77994\n30844 73966\n3311 56999\n29818 43316\n44855 89472\n28981 52307\n68844 72638\n6499 51202\n48070 87320\n30436 69464\n33302 75011\n14815 83448\n38092 89562\n5632 8217\n27749 46123\n26577 86907\n18470 44979\n5461 22205\n65200 86810\n45647 47869\n528 65456\n21694 90347\n1322 90812\n17723 85909\n66389 98644\n72998 84145\n79516 84603\n3210 40946\n36028 61339\n54472 70850\n2599 39203\n35333 83366\n51676 91382\n95039 98056\n66960 85458\n29184 36888\n1308 6137\n3097 36784\n17358 76965\n31061 82161\n37393 76970\n41233 99723\n12081 16668\n66134 71590\n27494 70153\n19082 58869\n21340 48893\n67041 74021\n8661 44806\n6597 42822\n36703 83682\n75914 96486\n47709 90604\n48701 69262\n68397 94970\n8805 33767\n18716 49702\n2402 73774\n44585 52449\n44352 52147\n43403 87633\n76219 85123\n60898 69058\n13388 86360\n21407 88368\n5455 32523\n16006 32873\n4356 80411\n48629 82016\n32102 88607\n60501 85730\n34152 73905\n10393 91488\n18617 79284\n48752 84314\n6800 40730\n15458 49532\n14740 95476\n33211 71221\n17635 95782\n49206 76449\n84364 90672\n65545 87611\n31500 86013\n22871 42435\n37301 47195\n27697 98253\n32882 43188\n63499 98477\n53340 97357\n14768 45452\n48861 90824\n21009 87143\n47387 80513\n19040 23612\n33734 39477\n4136 68579\n17812 70614\n47566 61120\n16915 99747\n5783 65162\n6670 90811\n60672 77591\n10198 16387\n42064 75301\n36516 70764\n69879 96581\n38193 97963\n754 11827\n43631 64197\n7625 60657\n30765 66936\n24455 24861\n41153 99295\n16481 70742\n9917 51432\n87174 93828\n255 19600\n81839 88923\n715 87861\n8628 91843\n37822 75489\n15722 30217\n14517 19729\n1721 18619\n78087 80957\n44343 47230\n74880 98585\n11811 97526\n70666 86381\n54426 77333\n52278 63574\n10078 12318\n17472 92991\n53736 55612\n47226 92259\n9659 15815\n1382 33035\n19544 22680\n23521 74645\n63731 71476\n4888 61677\n24251 32514\n74985 78279\n15219 46924\n29548 97685\n8759 97956\n29964 77076\n52741 56705\n47847 51506\n9188 97300\n27468 50353\n124 48032\n28346 86507\n14438 98778\n13336 96637\n69618 96319\n19739 73484\n35774 43398\n28764 57621\n47751 91558\n13633 22593\n40950 48556\n63608 79699\n10689 66793\n45389 48070\n2988 33537\n42377 94919\n21738 68975\n28347 56429\n14575 65720\n29001 94783\n7647 18978\n42148 45484\n46386 93164\n26102 88176\n48344 74397\n917 50969\n48662 89824\n19200 19354\n21104 63752\n21570 77174\n27495 64913\n56138 57933\n42476 63871\n71866 76624\n43023 82396\n30451 88332\n24101 53066\n93407 95540\n1150 3921\n62890 81617\n4733 89205\n69597 78580\n19297 79666\n27066 99788\n21855 42496\n17285 36309\n43007 83430\n608 47832\n70611 94419\n78383 78821\n18700 77037\n38869 46709\n9165 15833\n51885 77644\n1697 82916\n22704 73876\n60582 79358\n58432 90174\n17176 69487\n51692 89392\n58042 95552\n29465 73308\n87414 98683\n6839 34205\n13514 68195\n24557 91170\n68096 83756\n39744 64966\n317 4146\n11588 93244\n30974 74530\n24104 92481\n80216 89991\n8333 23508\n55337 84080\n41090 86784\n16085 16114\n9486 94294\n59499 84150\n14588 44355\n67752 99018\n2904 77862\n10588 64259\n47234 84961\n47872 67083\n3646 96701\n72550 92696\n74373 81331\n17227 91847\n1578 33754\n61692 77585\n82936 85452\n56866 84220\n14237 31121\n97500 98551\n51189 65636\n97006 97311\n1419 81325\n31116 67761\n22506 56958\n18911 26297\n81907 95059\n45812 86006\n73680 85436\n20147 84284\n81725 88091\n39034 58214\n20149 65497\n50821 59533\n69736 71214\n4559 88251\n7113 41379\n5614 34203\n13654 26463\n29908 71355\n19963 58760\n11690 49254\n53287 73415\n51696 59279\n8440 11049\n69544 88827\n21034 77472\n62551 79440\n13277 23676\n27549 89234\n83947 98404\n22731 29654\n28238 36350\n63491 84963\n63552 72657\n79752 99686\n65581 97517\n24001 83764\n70481 97076\n41054 67854\n6192 81559\n153 60224\n65181 80233\n12343 94132\n33673 74525\n55659 67416\n936 5699\n34345 92295\n58100 87291\n8692 88148\n7082 92408\n4494 60166\n1245 41628\n9285 44836\n34198 80135\n25171 91153\n76901 83862\n651 88563\n11206 30239\n11348 84693\n34124 99010\n40821 42569\n55076 62330\n5282 36884\n76646 99385\n37873 38800\n35772 53398\n4033 62718\n46274 85130\n52609 71508\n24011 52680\n63013 72830\n11113 86797\n24734 28859\n25391 31735\n56161 69566\n68651 96235\n56407 60444\n27450 90325\n50484 98296\n55054 73568\n39364 41501\n11216 43573\n60937 96311\n30999 97391\n39069 45382\n15309 55660\n12386 81831\n37908 88565\n12489 53326\n24851 78510\n56160 66293\n51301 71297\n14064 69024\n2579 49572\n14966 62307\n27472 93584\n42775 99038\n50157 81465\n35685 58712\n69770 80564\n72803 86120\n9637 84442\n4674 10941\n4258 56773\n62940 71602\n31228 71244\n2196 96845\n14234 60388\n45332 97185\n36463 37515\n21417 49184\n76328 77704\n19322 55319\n44087 92127\n39794 49303\n26747 75731\n44529 81875\n50831 89063\n39558 75885\n36437 43202\n64551 87359\n66242 80126\n2505 85276\n13676 48755\n34454 48363\n20213 49605\n35598 43825\n272 90851\n5460 99023\n33666 46236\n45423 63384\n63385 71006\n10189 70345\n27099 85221\n13921 62697\n31146 91883\n47000 51288\n57378 92988\n102 67542\n48550 97292\n17168 21539\n32422 95653\n12882 95113\n38827 79212\n9425 40084\n20341 28554\n41673 94143\n25413 99373\n8581 91684\n21422 40372\n637 99958\n35728 88711\n30427 71403\n42701 69341\n24171 27693\n32764 68811\n6157 16906\n17975 99372\n5885 11154\n70132 98066\n60982 64187\n36106 87542\n56557 74276\n40779 76243\n27446 71403\n57617 80300\n39188 71507\n59399 76246\n3920 60164\n40354 54515\n6097 37532\n31568 79740\n67596 78196\n3504 56277\n5981 29798\n29596 58271\n22620 33840\n8341 95242\n30276 33458\n19979 97812\n87899 98861\n42881 88741\n9216 96105\n38686 60348\n27819 47156\n11940 78047\n8427 84235\n37497 37537\n52947 77598\n12173 25033\n7562 76246\n25554 70844\n1770 62682\n6413 19499\n5304 98043\n3628 52844\n28331 81585\n35819 79431\n14889 76739\n6020 45704\n18810 44825\n44856 51093\n28159 54991\n23336 61036\n16102 52983\n18671 90092\n11341 47316\n65049 99667\n12112 73799\n18475 23510\n47171 98186\n11490 29325\n64826 81929\n70308 80524\n42214 81804\n24487 62760\n26495 50290\n74476 86708\n32171 34454\n521 39634\n22043 41070\n85900 90945\n2658 34044\n53761 60516\n39481 96330\n6575 96249\n3165 40475\n59631 95055\n77640 96096\n44388 66617\n7028 71726\n15520 77592\n58845 73103\n17398 87588\n36982 62435\n73210 94834\n58197 64944\n20226 63378\n37435 77841\n27295 76538\n22245 88634\n24077 79602\n15059 67711\n43472 95135\n50009 74534\n9022 40152\n36210 58462\n117 72155\n36073 38817\n59601 82312\n26739 40644\n3720 6086\n12252 41260\n59047 76600\n55411 87779\n48336 82161\n33681 81825\n29017 68951\n57422 76706\n40381 43373\n38051 59864\n37865 74209\n65774 94504\n80038 98258\n27382 51288\n26168 77179\n58987 60437\n44476 72955\n52699 84099\n22580 92096\n36753 86644\n29437 78034\n2569 31384\n27640 97744\n2119 2572\n8116 93646\n15464 62742\n37714 82934\n10819 83843\n2416 16664\n22911 65204\n36289 99926\n3876 92859\n22836 48022\n22252 29548\n23815 86143\n70375 83261\n23940 95135\n74887 93566\n6906 98593\n17919 31967\n74386 82782\n15708 65965\n7247 41228\n83117 86474\n76369 82165\n65303 67874\n75481 84563\n48771 83014\n77905 90905\n15306 35729\n71752 96840\n35375 58684\n87073 99933\n827 25742\n61954 82077\n7872 46001\n12404 33848\n3402 25727\n14202 24629\n48238 94135\n29870 52639\n42704 46029\n49264 69833\n55185 65159\n5725 91836\n47323 81107\n71242 81080\n12537 66279\n2960 60448\n76000 94118\n20202 93581\n19901 53919\n58802 74930\n30878 83601\n73009 79632\n71695 76015\n1346 21980\n12043 84042\n3218 86571\n15936 78159\n69903 85454\n25575 74636\n74964 91592\n30503 98866\n62317 68350\n47770 86531\n19612 59652\n8919 20295\n71880 94816\n7622 86914\n12280 81436\n50492 59371\n25742 35107\n81446 99622\n77023 88747\n11732 32368\n42567 44052\n65428 88072\n24132 80923\n44598 96307\n37495 85541\n4287 68967\n70910 86316\n1079 84609\n24560 69547\n34325 98919\n50090 54631\n17349 33909\n4111 72592\n23228 36845\n70004 79263\n53783 54692\n1628 31109\n20049 54442\n37009 93637\n64348 70211\n61726 63999\n15076 29727\n21428 92518\n32640 52488\n21897 42390\n69168 95191\n27259 43301\n40613 94937\n39763 90164\n82992 85519\n13339 51021\n64825 86982\n38574 53863\n93944 98432\n32672 84394\n67739 92308\n28164 87436\n55470 97955\n22483 76425\n12541 54177\n43077 79434\n10060 30104\n3477 6223\n12469 63156\n59487 88596\n32258 52666\n29259 91139\n14292 93606\n54882 97706\n6009 10014\n72642 79606\n22688 73316\n79998 93165\n3507 90283\n7418 41039\n24105 37864\n47958 96457\n3743 96628\n39883 91762\n16842 57879\n7244 47330\n68828 80417\n31331 52028\n94885 95604\n40234 41972\n5810 19305\n42085 90768\n75898 98269\n13848 48661\n17273 56081\n47187 58638\n46130 96212\n22900 73802\n14682 98080\n75663 99414\n16845 63606\n79635 93905\n29418 37737\n16713 30941\n2822 93622\n37748 80539\n61200 70302\n23030 24426\n57844 87361\n27963 72690\n26704 67047\n75719 78262\n77184 79440\n8241 36068\n30802 77749\n73469 90350\n21536 77328\n84045 94549\n11830 30658\n27712 52578\n47366 96706\n6304 11390\n40411 49289\n54549 76238\n1988 81745\n6150 80330\n21890 98898\n31807 62177\n15137 64758\n79756 91411\n2336 47929\n14603 86366\n7975 39770\n3056 45159\n1463 66419\n18494 78051\n63255 71848\n10787 97869\n46217 96971\n39571 80952\n70445 89727\n48723 82136\n31768 68968\n58881 95532\n25887 39694\n14192 77204\n16655 59720\n6097 93526\n714 1743\n10401 79758\n80139 85057\n973 47210\n1494 79175\n47170 70725\n36552 86835\n36975 89376\n22554 62450\n14752 51951\n44547 44764\n4972 91168\n31740 95363\n2049 25525\n20188 45755\n10933 74601\n14637 99975\n12574 13661\n43233 98632\n62999 73440\n3901 81886\n17753 53534\n41771 80790\n30514 65302\n26367 78270\n14200 43225\n37051 44767\n25933 44917\n26746 98840\n42814 65190\n1047 16573\n22715 83719\n15783 54684\n28089 67744\n65282 89583\n30915 45618\n7592 11778\n50934 86398\n35405 35427\n9550 90842\n12714 95542\n12381 26632\n6941 65860\n84500 98368\n18479 38132\n30378 94775\n52813 79498\n54155 60449\n18108 79084\n90258 96022\n23800 48355\n7540 94686\n2531 35950\n19241 84330\n44866 57743\n69794 71573\n24548 84798\n25801 70832\n15326 38089\n55084 89636\n7380 48024\n49978 67433\n47286 68396\n84516 95594\n1581 87772\n51320 62967\n29061 80120\n42956 45355\n13955 31444\n33859 69765\n17075 30489\n45964 62378\n43358 78206\n10884 20306\n82528 88034\n463 3371\n26412 39593\n80937 82193\n8573 77526\n15051 83744\n27998 85584\n78974 92045\n18585 48967\n19190 42764\n17423 97424\n31024 84898\n79541 87023\n15751 23342\n41053 95014\n27734 41069\n39744 55558\n62088 87972\n20004 36293\n39127 80440\n41951 71971\n7496 71072\n14842 78536\n2569 43674\n31629 90621\n71715 84514\n82831 83224\n26106 56105\n44935 95453\n20241 58085\n67936 82800\n10123 47657\n70192 98220\n22869 64808\n28461 90194\n82525 99364\n26730 65337\n27835 47953\n21785 62649\n1592 47422\n37186 73350\n57755 81941\n20601 98919\n26211 46267\n49166 71737\n22790 75231\n40916 96824\n4804 90543\n27439 47690\n52439 79389\n74841 89923\n47156 92515\n50641 74913\n619 9656\n15479 93154\n89079 96625\n86145 91141\n18706 94163\n38415 64594\n18352 40240\n20107 92254\n61069 68419\n15910 28835\n61220 68155\n29562 61381\n68784 88171\n20796 88999\n51603 62977\n5889 85029\n46744 96003\n69634 88779\n67737 82199\n42293 79637\n40835 51441\n70274 82072\n23823 85465\n34492 78446\n26615 91345\n68767 89846\n44065 95021\n38633 39589\n11971 12035\n26023 51947\n44667 66210\n24275 91158\n40620 80319\n22604 57521\n23058 35085\n20602 33165\n23408 29317\n61799 65206\n25181 77249\n89179 94837\n6766 94465\n33734 64622\n35151 50175\n25254 27037\n8053 34826\n72396 97957\n26623 46289\n19146 86726\n15862 50240\n91300 95228\n51237 96034\n58599 69828\n5283 20142\n43775 61795\n21135 69846\n4166 36686\n28531 52618\n27230 72264\n15611 75547\n10689 14613\n52927 69487\n21406 56376\n22873 75559\n4141 63431\n12067 58457\n18372 72587\n47597 89854\n10263 40538\n14133 90001\n61562 72016\n13245 22288\n27139 49891\n12728 70238\n21783 85856\n12271 49077\n17017 55067\n91689 96830\n65888 97385\n7018 50444\n1239 38314\n65703 94202\n31539 61810\n83547 96148\n21896 44118\n31297 60498\n51181 83514\n82394 83500\n67789 97950\n21524 89359\n31625 51534\n20040 28610\n69917 74980\n13582 51562\n23454 28178\n3504 4398\n65486 74938\n44976 45823\n35151 53903\n62207 79656\n44241 72535\n26469 73885\n11866 52168\n53769 62733\n14294 47339\n24608 75326\n12965 69792\n57435 75138\n27205 46122\n36406 97544\n38381 89250\n9045 29590\n10886 46895\n26672 29453\n14500 64148\n55311 82141\n20477 40796\n26354 99615\n43808 60210\n24190 52282\n49944 51204\n14109 66115\n47305 74690\n35017 99801\n74283 86844\n37216 78530\n72961 96530\n67315 77702\n16653 46514\n61617 88206\n59367 70854\n52216 55863\n15556 48771\n24591 69193\n10135 13168\n58849 64016\n279 35932\n13110 40780\n2738 16247\n9168 10441\n63699 80973\n76159 87891\n12419 78353\n77050 99223\n39074 65089\n25948 55419\n15483 47836\n9705 88497\n49567 72999\n31878 63160\n57963 90716\n11085 59030\n17050 39818\n23655 76089\n25228 59644\n10883 31266\n3810 95794\n9980 97160\n20250 55610\n3756 52732\n80117 91787\n14606 80356\n57951 90037\n16248 65377\n31785 91443\n21345 58803\n46179 83174\n15042 38297\n19268 88346\n61699 73758\n39197 76586\n21012 82456\n24519 56226\n87153 96036\n37181 84108\n10549 13096\n76094 87223\n68956 81108\n39127 39864\n53661 68308\n69589 95608\n40125 80447\n35602 83780\n32556 88707\n41444 57047\n17323 57815\n78602 93054\n30136 83281\n13241 82238\n45558 78566\n52537 64369\n26812 51840\n4042 22790\n27264 94578\n37455 49746\n72414 80277\n73446 98994\n10854 59504\n9518 81620\n41133 75450\n23205 38252\n63365 72371\n69265 80172\n6430 25364\n45916 82432\n6204 46804\n23623 73341\n21835 87984\n18919 69329\n17265 51593\n64866 87938\n39109 92138\n32823 38733\n5990 26600\n3577 36611\n26668 85178\n61728 88690\n9636 85491\n32289 63487\n513 63459\n56157 79153\n28243 83230\n53153 59181\n9798 64320\n48877 63879\n21745 68533\n26123 61605\n32949 78873\n2548 60298\n30854 45394\n47206 73491\n35881 41074\n7989 20449\n24211 47752\n35927 35955\n19487 66084\n17264 99492\n1577 10456\n1114 73471\n19208 97463\n19888 85032\n56293 63339\n63318 74613\n87052 87087\n68411 90675\n39354 89241\n51877 65600\n47940 69720\n41986 51665\n46402 73380\n42460 46482\n18365 48420\n6511 33788\n38667 59600\n5791 9268\n33886 67969\n13012 22656\n7282 41350\n26695 26962\n42589 82307\n20010 22506\n28244 78563\n44335 77237\n65205 77059\n33318 57374\n40936 90372\n59068 79855\n42688 77182\n2047 50863\n34053 40276\n40405 60856\n21816 55609\n32145 45963\n45472 51468\n9323 49834\n86698 96998\n19298 85838\n29132 36435\n9437 31104\n18057 24401\n18036 62048\n40310 84192\n69939 83436\n12080 17170\n15192 29094\n67220 86730\n11213 89195\n51286 90441\n2497 13329\n64847 75724\n66179 72580\n57511 95719\n22187 32635\n61012 67317\n5618 11090\n17348 96506\n57485 58439\n31268 60212\n16769 38421\n24984 88929\n7488 25811\n20245 25828\n12485 17677\n77267 93609\n34593 65520\n55571 69027\n38954 86195\n27355 47041\n33034 88147\n10419 23751\n43742 54038\n5539 73158\n19403 64402\n31615 96730\n13536 40444\n39937 52478\n6848 69184\n84510 94346\n59599 79819\n4030 29292\n34696 69134\n74058 98612\n26334 59146\n9140 88312\n35896 52590\n66060 69572\n28879 33488\n32581 78253\n24123 28675\n13825 35694\n47495 53770\n24146 59531\n20245 55930\n28050 79507\n24116 54614\n78225 91008\n27456 77917\n5245 41164\n46254 57832\n22059 90487\n1336 86901\n38455 39521\n17789 98871\n2419 12927\n18323 70211\n52071 76805\n92 34123\n43132 80981\n73011 88560\n23320 42524\n12164 91428\n2866 75477\n22458 34608\n6360 24899\n18743 23237\n25539 47262\n79023 84109\n49319 94951\n85143 96364\n47159 88459\n58306 79019\n17699 47973\n59625 74722\n4061 4625\n2137 32142\n7750 40659\n2512 78520\n37578 80229\n28356 41680\n53435 55127\n5735 33430\n9103 97998\n75008 79282\n58070 77312\n59011 64248\n6769 93894\n92046 96059\n41104 63937\n69744 76684\n35228 75747\n21742 52087\n46575 66065\n4821 58231\n41407 55766\n16779 84239\n12260 43527\n57198 78120\n10598 43407\n61337 83777\n2066 4801\n10717 30156\n65461 71949\n16837 60518\n37219 59542\n28679 36117\n6869 49684\n18410 21517\n83942 99697\n8354 72689\n34781 74923\n8875 60822\n33880 63460\n34410 84685\n32055 96476\n50751 56405\n31214 39850\n35414 37946\n52393 67865\n605 97247\n23567 26042\n24428 58466\n12330 27967\n25793 85872\n16906 47199\n35790 73529\n37745 39985\n53168 61487\n72620 95737\n9686 55859\n38544 58434\n58453 67059\n33014 92162\n68178 78966\n52825 71605\n32868 82785\n21705 37141\n25591 73179\n82137 92295\n60206 73957\n43723 44026\n40421 91532\n83272 96809\n3621 11692\n87398 95379\n24220 39455\n11336 13571\n36899 66462\n19534 58333\n20367 69171\n35476 76329\n21136 22354\n4065 14356\n22268 51769\n73628 74589\n27268 46178\n27767 41891\n15573 87697\n22501 74278\n3829 92878\n7515 35351\n800 96359\n16280 83623\n57798 82716\n49632 91658\n24989 28231\n32777 81845\n5527 76029\n43238 54378\n42982 92483\n5487 30727\n33470 71332\n16674 99658\n15868 21885\n31817 81545\n84467 95588\n6872 79917\n47917 96262\n2471 91558\n3023 5126\n4572 71828\n66845 78726\n14859 71083\n33842 86748\n21813 88480\n94686 96828\n35742 38047\n69721 78412\n13577 75443\n63301 66082\n17604 70523\n60976 99650\n29413 78797\n33906 99170\n10814 89891\n7243 96752\n30194 92303\n60578 72683\n5130 24647\n60330 66865\n73224 93859\n63105 71328\n11676 19607\n22393 45890\n29291 54056\n6450 70159\n62435 78773\n1150 86716\n57842 61214\n28066 89729\n67667 90848\n8731 26911\n78913 79456\n11862 65690\n37389 47157\n50558 56865\n62469 71927\n17874 21099\n17837 56296\n3039 75619\n5216 39822\n24758 28908\n42223 92923\n46762 74692\n64380 90810\n27781 91618\n34210 67607\n66715 77707\n36834 77140\n84698 91565\n17402 35495\n70835 94984\n48965 60924\n50069 54889\n81357 87119\n49202 78567\n3638 89655\n7887 34002\n3755 90937\n6526 40356\n29243 59876\n20992 94306\n69533 87187\n9346 62816\n63520 75023\n22534 36045\n57555 68425\n18681 87082\n5151 89100\n14599 35047\n22843 35708\n16660 25949\n16222 64215\n23737 37729\n74145 85182\n92099 99146\n27934 47009\n73480 99480\n90112 93292\n56094 70198\n34152 61195\n50597 70817\n20338 30335\n25937 43469\n3673 95336\n9194 67658\n8844 76679\n31208 58462\n13347 48077\n19361 73808\n19714 92993\n31158 68523\n34287 75483\n64707 92553\n10044 25476\n22716 60396\n5315 6711\n50284 52968\n35957 84430\n70020 72228\n6554 87831\n78 12192\n18892 80231\n54892 97179\n30793 54251\n47625 78273\n49739 82880\n5441 46524\n37196 64692\n16016 54315\n12096 81901\n10407 23943\n22783 30673\n47813 65114\n8005 80939\n31735 86359\n4080 80833\n14211 66582\n13259 38622\n24127 41552\n41384 50645\n38599 71261\n61423 83727\n51738 72231\n37100 66282\n53002 83181\n23469 91928\n11390 20368\n6048 88072\n62396 95674\n25255 70749\n23547 50298\n58223 87480\n11022 67683\n18386 53631\n12087 21803\n21703 87040\n37113 79792\n74495 80862\n30221 65228\n58857 59499\n13117 70307\n10089 69067\n54645 98706\n70111 83528\n4703 97515\n497 42365\n10593 70259\n5781 86035\n13297 41234\n23543 68697\n81617 85745\n70162 99849\n29819 33807\n10242 31354\n45662 57163\n19993 54485\n37097 57126\n66983 99780\n58238 67407\n96398 99674\n53314 89730\n64 18659\n39529 99897\n60107 67713\n27691 50579\n69239 91482\n50609 56166\n19571 62375\n58939 77396\n16811 99953\n43237 62817\n2583 47023\n29898 36784\n20297 20593\n49923 93602\n16078 76407\n6211 69864\n46919 50880\n17953 51466\n3027 51019\n6488 75299\n50696 82042\n35181 73301\n65104 73806\n3398 35056\n44233 64279\n47796 65358\n3275 68956\n18243 98258\n9297 88542\n64520 75734\n57723 98471\n43567 64994\n77294 82880\n72531 95929\n12782 24195\n25694 38904\n15885 16543\n26574 48792\n13321 60757\n79321 88235\n69709 80462\n10623 67694\n34734 68396\n30867 65490\n77619 81031\n50477 95254\n55875 75479\n75162 83271\n46589 95173\n10877 30718\n71421 75847\n68518 82221\n42219 83991\n47776 67310\n33047 59039\n12815 77777\n53955 54344\n60758 75416\n67826 89373\n64481 72992\n7347 57978\n58636 97707\n25208 50519\n14782 17133\n26558 60579\n49106 54441\n11102 98720\n15695 41767\n55331 79727\n118 99523\n9269 80369\n47343 96394\n40422 84975\n38509 58276\n21534 25399\n3996 24427\n12316 18392\n48699 81976\n44791 54735\n30636 72383\n39155 54089\n11942 47879\n9835 71418\n61909 88038\n44529 63603\n11672 85500\n12596 81983\n33911 80003\n50633 78304\n1999 55536\n43290 77973\n75855 83860\n57999 79201\n9437 72292\n1973 45982\n61562 72213\n25381 41729\n12479 67669\n71244 94431\n16962 29779\n5206 64265\n70211 73488\n32307 99357\n26108 87108\n27753 67402\n56709 71464\n55199 94365\n59874 66214\n42471 44355\n9246 35987\n34227 61108\n4128 88664\n42692 63002\n70773 85661\n4769 35256\n21402 62278\n11307 27503\n49234 63029\n25167 83509\n17663 19077\n10353 99856\n16702 36923\n19100 31400\n22637 94655\n5178 42787\n62780 87526\n9280 70927\n38881 38991\n8198 68514\n28182 51802\n15324 44498\n27321 44378\n1171 88264\n34388 67943\n24055 51770\n78822 95178\n69032 92223\n53971 91253\n22035 52265\n2756 23980\n8133 97155\n19819 96541\n12173 80660\n19361 53037\n7616 37223\n5497 98703\n18667 90996\n7013 60465\n7705 16296\n89635 92647\n5979 49598\n58419 70248\n5873 99836\n35097 53130\n37922 52574\n2161 82244\n2280 96072\n26590 98806\n20519 93559\n58052 72230\n89617 89824\n54302 57535\n8483 12970\n22709 30259\n11317 31904\n2663 60517\n880 99564\n54832 80478\n80791 84726\n60406 62909\n61014 84663\n11387 95539\n25312 78736\n62155 69100\n13580 16642\n15600 24727\n11844 76011\n83141 95071\n46514 82985\n38410 42371\n30087 84710\n26318 93013\n15507 57049\n396 9038\n91625 93361\n33139 49003\n46038 49704\n46116 84783\n69980 90014\n84749 84783\n33156 64230\n89436 97001\n25000 80663\n16276 41851\n1004 47367\n15098 66614\n58078 59445\n36290 36708\n58559 72980\n44598 82307\n38195 46898\n9473 80349\n6469 32795\n50924 82627\n72894 77023\n3811 48683\n71615 78287\n4981 88547\n22900 71905\n59249 86600\n12377 31164\n40237 75207\n22181 58671\n17527 44609\n21357 94229\n22956 28282\n30679 90943\n79831 82862\n13545 81286\n24354 45559\n38048 90760\n5960 24583\n11776 20831\n27112 45860\n736 28036\n27371 36635\n90699 98510\n9966 15590\n73246 88425\n28607 83201\n12077 73352\n8473 38352\n56414 64696\n712 19970\n37578 52114\n13895 81452\n7594 53515\n6115 57065\n41800 61306\n26255 88059\n92130 96871\n83950 89826\n5257 86804\n60453 97596\n85971 95100\n4507 82060\n35394 75664\n30515 35664\n10498 62195\n11645 79708\n11285 55702\n28948 73888\n1330 2137\n57635 72387\n25525 55536\n73670 74232\n50754 82423\n62710 87474\n18712 66754\n57290 80244\n64447 99914\n58792 65088\n14885 66070\n28499 29218\n88017 89923\n51438 56709\n4304 45372\n16983 52978\n82585 88698\n76967 81102\n1405 60502\n7687 96338\n8166 91045\n27684 38281\n10521 52505\n31253 34906\n15549 15648\n22963 41071\n74990 97011\n14662 79708\n57944 68645\n6526 38867\n75648 88950\n17087 34754\n18176 85781\n41050 88355\n68879 85745\n12090 66554\n26269 32103\n22749 62329\n16354 86969\n12027 73212\n4399 71200\n51847 51997\n35324 80816\n70562 98873\n45735 93593\n9447 37606\n57456 94711\n27930 29750\n31524 56351\n5181 84037\n18817 63598\n12165 12541\n52459 57939\n58438 84983\n18696 88035\n22910 52412\n30446 40410\n17023 30761\n57151 78982\n44171 76818\n2688 3735\n42948 58968\n24014 48384\n4312 93185\n197 7831\n48197 87667\n18768 75404\n32520 40301\n26502 81393\n48707 75675\n52943 75228\n6286 52692\n18287 58467\n97103 97536\n23166 42419\n7921 87069\n76164 90293\n23430 66793\n37726 63400\n22895 34679\n12566 81268\n16435 89450\n62563 99661\n24520 99871\n42411 44335\n9646 9759\n8043 68908\n15525 45900\n21839 80954\n5909 32959\n82629 83091\n13577 81169\n3117 96745\n16755 19978\n18929 88320\n1066 16519\n12981 50983\n27618 56919\n56125 59957\n51521 85577\n40969 92713\n57085 84301\n62687 74234\n1829 71302\n26167 83200\n41552 44122\n22176 86762\n79631 99202\n11148 17983\n11987 79149\n181 38659\n27594 85022\n34077 67177\n1754 34130\n76313 91888\n14300 31568\n59179 72943\n36787 50558\n76484 95036\n66689 99530\n8102 50490\n4903 85645\n10730 70008\n49219 55390\n19718 69625\n58227 80991\n23484 59128\n18094 67861\n19696 70070\n34747 83355\n38227 81026\n38642 56407\n65152 71852\n78345 92903\n6381 15671\n21902 64930\n35974 99877\n11713 34028\n17606 36241\n23456 97504\n60743 87667\n21257 41476\n42894 80080\n14125 43873\n22824 35041\n35893 69271\n10364 72290\n3669 32709\n17051 35066\n58966 61363\n7493 74310\n5417 69768\n21103 51190\n84240 89086\n38699 92465\n26243 31814\n13672 92460\n33517 58171\n17806 18907\n34712 39302\n19245 98328\n4018 98630\n38077 53266\n52521 98338\n70937 93674\n1125 15995\n9886 75361\n24111 62974\n65504 95181\n7030 51172\n45125 50520\n23505 33459\n15795 33334\n33225 71572\n61131 82790\n26644 46682\n64774 97840\n14753 52575\n4634 55728\n60873 63971\n73582 87658\n87215 90876\n6646 99496\n8871 59411\n44032 87219\n60735 67734\n40994 72962\n44632 85066\n27575 96332\n54241 99800\n2867 35585\n26545 67391\n60009 91643\n13559 57383\n32716 76855\n5237 22534\n97373 98104\n35204 83475\n33138 66450\n66274 79033\n89340 98527\n69664 89015\n25435 54657\n10020 85485\n79962 98543\n17332 29875\n52735 59168\n85869 95887\n56307 76074\n20235 92069\n39666 68219\n17075 61958\n9232 20929\n9995 16694\n13136 36940\n13623 22991\n60455 97753\n9566 36504\n12559 81705\n9555 36626\n94328 97268\n30383 76938\n85142 96905\n201 59161\n45678 90076\n30938 81387\n5043 6784\n1794 97626\n20625 41166\n10070 33785\n81310 87489\n64107 66624\n55443 62392\n2797 23699\n10295 51102\n43253 68913\n63456 67733\n39096 99328\n27850 28184\n8567 95324\n2190 22060\n37546 57718\n22301 73280\n44836 97562\n17486 92479\n9948 34584\n30405 96345\n9912 28564\n23333 76777\n9231 18071\n18437 93076\n21745 81983\n35536 52329\n71610 90741\n49519 99284\n36122 91328\n53256 94151\n22696 69358\n51827 74404\n137 77252\n24972 39729\n70195 86957\n57403 71595\n79085 95905\n86120 94911\n33848 66772\n33807 55441\n75983 91063\n1238 89629\n33598 84709\n61144 63595\n2551 8600\n25150 87840\n35217 83591\n33041 85014\n14868 37009\n73987 90206\n60634 70833\n44237 46592\n29998 68572\n76642 93680\n12842 30614\n63781 65623\n24774 67402\n65748 85333\n77264 91709\n86999 87901\n65670 87365\n66539 73490\n32850 37877\n5149 27820\n31239 91934\n26367 55024\n22899 36608\n37941 61323\n50801 90802\n4679 94391\n42245 95735\n68277 86001\n36655 67497\n23363 81455\n9602 56468\n43302 46291\n73291 78025\n82554 94741\n10871 83712\n91664 96859\n59191 99420\n46589 60217\n28600 98732\n25425 56458\n15743 75986\n53382 57807\n13867 48039\n47259 59162\n34081 58820\n11490 79706\n70271 79826\n26601 59554\n24943 46262\n52428 96464\n33630 73772\n44323 80108\n31989 86447\n30882 58403\n22418 89063\n84436 95169\n17314 63819\n72431 96296\n2142 13835\n50622 96708\n36929 89386\n8021 32637\n4156 9958\n19754 50529\n58854 65865\n16860 51037\n499 91610\n9295 76624\n35148 95759\n8181 73704\n86473 92761\n91887 92531\n48864 88301\n75045 94897\n16832 94566\n8091 96444\n21386 46431\n11460 88266\n50391 70672\n10304 28862\n48234 93181\n46605 66302\n47306 74183\n34414 62097\n44958 86095\n6440 84322\n9278 44381\n20551 63932\n61962 79661\n15251 43750\n52189 91846\n19564 46064\n28408 35609\n27691 40533\n2702 19907\n49565 66651\n75701 94109\n18147 64977\n56792 98412\n12563 28696\n15661 92592\n12034 36955\n9828 92786\n3396 27664\n19615 78841\n4735 63819\n33214 49928\n37942 75758\n27838 97733\n27375 45229\n38319 90229\n1988 58869\n41945 98620\n66879 96415\n34066 96193\n46493 66724\n61577 93143\n12387 15973\n13190 42391\n42777 84142\n18813 55515\n52965 84543\n9008 72314\n905 63068\n39824 55679\n38049 50036\n6162 64914\n57408 96830\n34485 62839\n13735 71054\n12578 54224\n5590 50113\n17055 36750\n75932 76395\n32242 68417\n22107 34402\n75903 85511\n1622 86726\n76205 88878\n1022 62029\n61439 87736\n37566 69769\n28068 54385\n37559 63378\n22749 40300\n9547 91025\n395 12233\n19454 44487\n53737 62659\n2086 40048\n31117 33886\n15861 58255\n64513 74781\n8864 46569\n29854 97851\n29228 93752\n31813 96723\n24280 83226\n47113 56603\n38914 87085\n54718 85113\n41302 47771\n1368 80745\n4050 26170\n21138 21764\n26083 54239\n29196 34386\n6694 29527\n3427 64060\n4338 29247\n78552 86889\n34887 74922\n51859 71204\n50247 82000\n44045 45177\n998 76016\n77359 95491\n19647 65327\n14149 94444\n53253 54617\n63108 69614\n11538 33063\n39600 41223\n40657 66835\n5089 39164\n57032 79469\n80474 97140\n49423 73583\n9560 16767\n4107 71959\n5757 33585\n40668 61479\n32777 92841\n40069 99182\n26739 38967\n82858 89860\n18993 86950\n27968 28741\n17644 67872\n20760 48414\n81564 86501\n28075 40042\n74116 79501\n25932 84627\n12306 68594\n75794 87435\n17131 70994\n4691 95076\n51872 80004\n69153 91195\n9936 87177\n690 17730\n48575 55446\n54513 55838\n2854 94910\n72026 74991\n45026 50219\n8959 49145\n25622 78166\n4982 95009\n38264 87414\n48175 53516\n53305 72840\n4322 76608\n1090 98131\n24227 73236\n87512 93404\n85746 98126\n18658 41135\n81796 99768\n16623 43580\n38963 68652\n63021 72802\n32839 38163\n45970 78642\n29398 31074\n21617 60216\n5342 52483\n2344 48008\n43005 89915\n8061 40717\n65134 91322\n58284 95755\n11757 82231\n70860 94889\n51004 55531\n73859 86704\n24335 26782\n25844 35322\n1892 87959\n48795 62671\n26900 97714\n46812 99019\n37652 52794\n70284 70566\n10159 94822\n15106 89724\n22950 23035\n29844 55363\n23388 81849\n630 76825\n11380 43822\n15015 83679\n37050 52118\n24133 25733\n29515 62215\n8529 63945\n71542 96337\n81238 92231\n60131 76889\n3283 33745\n69318 73046\n12934 44286\n34893 46866\n27843 83696\n21311 61898\n58413 93222\n45484 93434\n11742 16488\n20642 33075\n20318 52092\n26431 60920\n24051 68268\n39311 42150\n56492 93140\n17994 48921\n197 40129\n20517 45831\n2433 84073\n51792 61348\n5553 10672\n3090 31961\n43821 61219\n58450 72726\n75891 85530\n40247 67604\n34259 48994\n27251 81997\n15225 88192\n72399 95048\n24562 89366\n12504 25565\n63830 80279\n29780 38964\n22652 98409\n33926 89615\n35073 59057\n4671 93189\n67615 92365\n25387 82519\n17917 62275\n27810 31181\n6051 34948\n61588 67257\n35276 55859\n35785 69750\n45560 85237\n52091 84210\n35775 43709\n681 67950\n4249 99132\n38036 41243\n10978 31719\n11159 16762\n19953 75810\n49575 81869\n43127 60889\n53442 61239\n25450 33832\n34687 94370\n25088 25876\n65050 96964\n5071 44637\n9766 88312\n1367 13690\n57052 84946\n44181 82738\n60281 62596\n12022 87699\n60088 78020\n39462 74997\n10481 80797\n76636 85629\n3462 63782\n35954 36005\n72206 92149\n83533 95268\n47125 59626\n38807 83953\n16418 82967\n5822 36601\n32586 49421\n11214 80372\n12345 84226\n19959 49858\n44977 59382\n9480 81612\n28995 88710\n36683 47088\n75245 88747\n50569 59790\n6338 60200\n23737 93466\n14173 63879\n36986 40383\n5863 78279\n44466 93449\n52739 59880\n37344 69065\n9917 95532\n32022 57195\n10997 63938\n9629 46644\n21017 73083\n14215 55220\n11965 66646\n6544 9212\n52210 65375\n69953 72162\n57409 75017\n22607 49923\n1731 55422\n30231 72372\n4074 21153\n75 94815\n42380 68642\n17812 18912\n45495 98650\n35918 62243\n36596 44484\n86185 95258\n6434 87055\n8630 63457\n7160 10881\n35139 75691\n68703 94700\n1344 53554\n30676 50390\n69975 98493\n27269 86681\n57566 69611\n61872 75563\n27158 82037\n23729 72334\n34587 91738\n72756 73534\n22181 70948\n15470 16738\n51217 84353\n74395 89750\n15333 49338\n63098 83824\n41356 49642\n83179 91644\n9831 72783\n40663 72589\n64247 97470\n31407 59898\n22791 38410\n6054 36480\n11259 76972\n72774 85098\n15234 32945\n5494 92110\n69701 81567\n15541 25024\n45062 45918\n19590 97587\n19267 62895\n20108 27874\n988 4874\n56099 80307\n38617 88806\n34439 38695\n76298 95810\n18545 21011\n47486 75444\n43126 85492\n2413 50070\n49633 94285\n26892 65592\n26410 98928\n31 859\n37018 92901\n11336 73423\n6781 30915\n77493 93015\n58685 79098\n22652 55875\n1037 22194\n20150 68528\n43161 66111\n25711 63993\n30533 46869\n8012 46694\n22203 28328\n49144 64825\n8843 66335\n1626 67261\n12823 59448\n49894 56339\n23685 63946\n79789 89175\n59955 68651\n21885 32257\n1106 22578\n39620 67690\n30985 51032\n30995 71530\n40576 43959\n8129 41785\n38773 61862\n48061 93497\n48285 60003\n50126 95848\n18773 71576\n14439 25794\n58121 88882\n24811 61647\n76372 98622\n33264 66100\n63294 84166\n14208 96256\n64302 80041\n15937 97072\n37166 99270\n1061 95514\n35903 80692\n40820 97552\n41147 96893\n33507 83564\n51055 76761\n58118 88657\n62571 98047\n19554 64836\n47522 77657\n15849 53817\n44361 65930\n34905 38959\n41309 98160\n16640 96799\n5229 80459\n29608 74557\n52382 54477\n30808 36567\n9998 58512\n18975 24729\n21587 46467\n35072 84710\n28049 96747\n31519 94682\n59393 62579\n29141 53887\n38266 46981\n35042 82993\n79387 88630\n860 51265\n39894 60692\n57379 96567\n3151 97140\n17757 34436\n16198 16973\n46971 59115\n43505 63143\n81744 85520\n74132 91750\n39761 80827\n18080 19492\n3394 49002\n30475 32756\n10857 68484\n6818 96522\n46712 56636\n56162 61171\n43982 65746\n14937 69383\n15568 57884\n35263 54451\n13981 78001\n38538 43747\n70411 71732\n53609 64306\n9869 88179\n72344 94427\n82937 97254\n15064 53237\n32209 67226\n3817 66180\n8308 8380\n6401 57535\n39053 89892\n27686 30196\n77360 91929\n66674 69394\n19853 75711\n66353 97846\n61996 85418\n6963 73378\n52619 99507\n4372 95074\n36273 53631\n24957 41917\n27277 51582\n55851 71594\n46336 81834\n45240 84498\n7003 27038\n46996 82355\n1449 17487\n8040 13121\n44027 57067\n33931 38511\n27495 74262\n37354 39999\n35430 51300\n5006 8699\n36577 83197\n15858 51431\n10913 30089\n39789 53712\n58650 74261\n12785 98027\n41272 99748\n4376 96133\n24518 47369\n60514 80507\n5915 51503\n36525 37181\n39413 40274\n81698 85387\n18424 59146\n4348 91238\n35214 78386\n16194 45008\n30956 34050\n13266 35351\n12808 17417\n52891 79219\n14064 69155\n1901 68213\n46822 89085\n57653 67612\n67101 98123\n25325 32419\n76043 82578\n5650 70332\n14723 25646\n7293 81411\n50806 53781\n45545 98808\n34053 43222\n7265 43499\n29902 73140\n20137 56010\n1165 18643\n50189 95631\n35266 35907\n70119 89607\n95518 96881\n35530 47283\n31081 84475\n50240 88448\n11837 28286\n34493 45236\n1465 38047\n51014 88716\n3986 52025\n1630 93550\n28950 64455\n23015 42455\n30756 40583\n19356 48253\n462 62102\n29063 34622\n36695 72000\n14476 92116\n6892 68991\n20693 56922\n13704 49912\n50248 96348\n5767 17123\n54605 98633\n36512 45120\n38460 97460\n8668 43036\n8993 39049\n15766 72613\n24576 95520\n80742 94075\n6089 77444\n7610 86933\n51504 60049\n10904 27316\n46568 50813\n36840 65842\n75491 96696\n27257 41409\n49754 68571\n2572 21763\n5273 29589\n33507 39576\n14092 82655\n5862 57335\n6872 28804\n27696 45646\n11007 74734\n1609 91875\n527 42936\n19384 97886\n17621 29925\n51268 94717\n71775 96155\n17213 61072\n17507 92419\n41193 55535\n13798 84958\n29067 49465\n36524 95509\n29118 71426\n19110 38489\n13908 55367\n78062 92753\n48476 51009\n12374 72611\n80479 85121\n32297 56444\n21907 82948\n60560 88962\n53365 80555\n17465 22569\n10754 56407\n19897 88117\n225 91770\n54864 72712\n7747 65294\n78778 91714\n37313 73274\n63893 76570\n80798 81065\n667 99211\n84109 95007\n18350 52922\n12567 97259\n6846 61011\n31979 49876\n29743 76150\n7059 45677\n52031 90700\n14346 58328\n40085 53053\n72970 90767\n20503 76293\n53604 79703\n17398 68142\n10497 93102\n95537 98788\n41562 56292\n36555 84950\n47088 50726\n37269 64869\n33527 47465\n29239 58871\n26513 30866\n3456 53491\n37476 73525\n29766 68377\n79260 81375\n5958 12572\n4550 96980\n34390 67920\n22186 56999\n85933 86773\n20716 89182\n37974 71853\n400 42452\n56454 67806\n71067 86061\n257 93512\n28016 73690\n20902 23994\n50467 60002\n55671 65119\n74127 88544\n3782 53438\n18099 74850\n81501 98936\n45995 70234\n37373 69621\n26091 71789\n27498 92055\n22381 99144\n34340 76597\n32783 51405\n26681 39865\n63756 94866\n42671 49316\n18872 82755\n21468 66195\n7777 66628\n27182 88936\n29784 57641\n16054 96994\n72675 89967\n13779 95340\n20116 85126\n92935 98282\n83228 94721\n50951 92056\n6671 40209\n74660 77752\n51277 98897\n72257 75391\n2638 72589\n50652 56067\n3521 58045\n72752 78346\n18475 19605\n9816 10906\n35364 91755\n12668 87251\n45543 77960\n79040 96601\n14624 69880\n55519 73868\n33155 47018\n39845 96989\n29187 64467\n51907 90544\n24818 30600\n36239 71830\n4335 52935\n235 79859\n27811 45913\n56247 86177\n7149 7232\n55811 59509\n1479 38327\n10240 10980\n40508 59327\n35851 88632\n17580 75890\n90650 91245\n61905 71428\n20194 94251\n8561 43932\n91229 97473\n38086 68977\n75444 81088\n28998 90556\n61945 63672\n4775 51422\n29642 76503\n9901 95641\n24068 88920\n34190 97640\n39783 44531\n17972 61254\n76021 93632\n19269 74081\n20419 26040\n3395 87110\n14459 60831\n71806 87207\n35146 93198\n42012 47115\n20035 42182\n41128 87445\n14631 56168\n52834 74092\n45415 77098\n48874 92308\n69637 97342\n11589 59322\n37893 77968\n17380 26486\n26373 67278\n6625 69841\n19365 73926\n15610 79783\n8318 34272\n11040 95969\n2645 75892\n26661 65597\n53727 73044\n35034 76667\n57161 89649\n31234 95534\n11462 92326\n4979 19793\n16729 83531\n51348 79874\n43846 92450\n1935 90107\n1252 74841\n17891 78314\n8886 43671\n5607 66959\n10695 46114\n4749 81293\n25615 81447\n29400 34515\n12519 25670\n13472 37766\n34378 94152\n70303 88511\n33660 41380\n19145 63364\n64249 77093\n29022 94867\n18965 21220\n69804 86245\n9691 65822\n56183 93120\n47637 54743\n78897 92412\n18793 54105\n47995 65950\n41569 44808\n26912 68199\n20261 27602\n10740 73805\n59400 81364\n83489 83641\n34217 68057\n69320 84071\n925 9416\n9811 93138\n9812 75141\n69741 99989\n1509 58330\n2646 44194\n42713 96942\n20164 91036\n8556 65589\n48439 98823\n69900 77871\n63220 99711\n51727 81654\n40442 94867\n3894 55232\n63918 92194\n16301 61834\n84624 85749\n38959 43147\n20175 92073\n85742 91717\n9148 41862\n24861 71990\n10118 99960\n87790 98350\n15922 34425\n80649 84946\n52063 84732\n33486 53418\n64414 97984\n24740 59201\n47742 84158\n50509 77187\n19262 50047\n11869 69254\n58058 97504\n53057 54795\n76370 79252\n62991 78339\n15202 16429\n569 5640\n39035 95164\n35667 52302\n6009 29778\n26568 89034\n10497 26543\n2998 30019\n17436 74922\n22969 91642\n23448 88036\n36561 62462\n3380 94858\n1148 10567\n53322 58877\n25866 96540\n1480 18234\n17001 45952\n12103 23294\n28084 97628\n32834 59278\n67619 94044\n50272 59907\n24267 88555\n27232 28010\n63217 83468\n23819 69919\n22994 83293\n76940 91591\n5700 22574\n62342 85726\n54072 71136\n48071 81691\n38252 79710\n61180 94221\n17378 50793\n35438 52819\n3278 99481\n55137 59754\n59054 93906\n25849 91962\n531 44065\n11314 72259\n17938 31301\n55060 65342\n47807 51688\n843 17990\n26942 90617\n43604 81502\n39846 79344\n8768 46287\n76486 88330\n42167 58116\n31365 91152\n6949 55278\n44912 79926\n9226 28944\n75751 86190\n3772 27035\n77797 83523\n78694 86747\n58448 82737\n50655 86703\n652 90033\n62438 87495\n728 28686\n54544 97859\n56232 80516\n63655 64752\n38158 66612\n51798 52574\n15633 75749\n15512 99663\n42791 46430\n15519 62996\n44807 65493\n13370 45147\n56418 56472\n12347 76201\n45692 77283\n37519 65937\n70191 85333\n80854 93676\n14740 70705\n17300 36844\n22721 61171\n20479 58928\n4591 49969\n87304 88552\n30048 70064\n668 19361\n2978 41905\n55011 92092\n29077 59922\n9056 87145\n10206 59444\n6743 34531\n51172 61736\n2635 69167\n18132 98349\n27732 88440\n7750 26787\n2493 21237\n4810 36165\n42474 60254\n3955 51300\n46828 95837\n9075 38074\n25647 96106\n26890 34105\n27175 91435\n8038 59926\n5486 71222\n2701 73866\n10407 60982\n921 4677\n6352 99078\n47306 69523\n46953 49359\n27945 68807\n29238 51649\n23983 61032\n43759 69908\n63789 90396\n53074 65524\n13422 97386\n54846 57833\n4146 59444\n5736 50322\n57185 97243\n41792 67027\n7742 96731\n38570 97633\n32087 37814\n13809 34644\n7114 93652\n63506 73376\n15340 52922\n54868 62155\n3978 7050\n2009 97426\n55139 69179\n32748 36680\n81948 87110\n31938 66013\n3877 21493\n19204 73679\n85308 92583\n51391 79016\n190 98552\n9665 11918\n7109 38169\n36766 39187\n7185 82806\n53305 79948\n58457 88918\n26231 30262\n1616 59416\n51990 86275\n28883 50778\n64625 86614\n41710 53049\n48317 67325\n13166 80763\n30249 43561\n37900 71306\n44446 95792\n20456 73861\n15225 35352\n5986 14546\n21795 76494\n32588 84189\n9645 61202\n18711 64660\n51752 86096\n33555 46371\n4258 23022\n60824 67620\n3197 40332\n28722 97702\n62165 89126\n31701 82176\n14195 49230\n18243 33128\n59133 65151\n67854 97792\n56839 67051\n82805 94158\n46310 58839\n66525 86254\n39859 52977\n34385 57557\n29369 57381\n25452 85025\n85327 98553\n70197 80445\n59875 95333\n44234 61707\n16589 85752\n22626 90356\n23192 45123\n2893 33318\n73779 95846\n29683 43614\n13697 42523\n24721 92223\n15407 29422\n71227 81936\n19595 26683\n21693 84409\n65987 75577\n51934 91497\n47424 66392\n91372 92553\n7756 97437\n76075 86333\n9658 15028\n10886 43471\n20322 70681\n67348 73566\n6304 80898\n68330 87299\n38339 92485\n35775 58608\n61489 69808\n17333 29685\n22152 30690\n19180 57662\n78442 79003\n17460 90626\n13399 33884\n60634 76918\n12868 48142\n41932 69402\n54810 80916\n28748 69946\n10202 10651\n50030 74956\n35672 58674\n12940 16754\n303 85184\n13416 39486\n69658 87708\n1431 89973\n25435 59999\n25350 85157\n65983 76812\n46142 66975\n65043 97595\n55306 97228\n13556 98358\n19679 36974\n81693 91823\n9340 28760\n68276 97487\n48204 51403\n21356 80578\n50908 61489\n35009 38942\n77615 83656\n12630 93461\n32740 90321\n13171 43415\n3698 36737\n462 56305\n17040 35567\n13202 50428\n88111 96411\n38072 65407\n5515 80785\n93962 95385\n8750 47922\n38077 96992\n92601 92698\n62014 92830\n2971 86579\n41448 59209\n33684 83268\n80736 90225\n78480 81699\n6700 41267\n882 93018\n43622 88891\n56529 86644\n76342 83585\n10215 75714\n62749 67249\n36029 96368\n63431 89657\n46105 48407\n70503 92122\n28237 43432\n59345 89829\n34976 56341\n14041 99735\n20610 80712\n36607 91731\n57592 67005\n13880 59231\n6485 96627\n7190 62843\n1117 57754\n38039 82911\n48106 66834\n61604 71678\n48079 60146\n62422 84592\n60284 94180\n13990 22783\n89622 99735\n69074 89253\n14373 82952\n25044 27630\n60393 64915\n33771 80167\n18982 77112\n16828 17650\n59401 72313\n4652 50032\n3720 23518\n894 51393\n69743 82892\n28191 91017\n65027 93780\n73611 96091\n69555 87589\n53470 55567\n43812 58334\n35071 66953\n32749 68340\n4341 48885\n58022 83989\n97081 99253\n61246 90073\n10677 27924\n48569 67140\n49761 91581\n64499 75530\n6903 98439\n36951 96048\n19203 95434\n24736 81496\n6867 48062\n56734 96287\n43638 61615\n59658 81971\n18241 66584\n29847 30352\n67683 83943\n12651 16726\n94677 99118\n26473 83904\n41652 82303\n18140 26931\n46385 69770\n63560 67413\n67775 96062\n56122 56182\n23877 89264\n13397 45522\n55688 80412\n39336 80604\n15089 54766\n23878 57698\n14354 33868\n59446 93925\n58440 86373\n53301 88052\n20766 79436\n18807 33667\n51833 79099\n14692 38350\n70835 90328\n55365 58368\n54812 74029\n3219 95096\n17926 71161\n10573 37598\n23636 99903\n5179 57185\n18951 38037\n32267 38420\n67701 94363\n42118 47388\n75668 82354\n20951 28611\n33376 88597\n21204 69232\n48751 71259\n9721 81315\n59445 73242\n37502 78829\n91506 96685\n32560 87673\n2167 16209\n15263 34380\n33141 81479\n4453 84977\n36611 83876\n29562 76757\n75724 99527\n27486 82157\n56572 98445\n23864 45859\n75028 86482\n8793 81976\n16279 36555\n59884 64230\n50249 89881\n28787 37091\n44683 67643\n26896 81526\n64396 85990\n36081 70681\n11273 16082\n5613 80419\n1968 24599\n3503 90930\n30042 46489\n51403 87161\n29939 95614\n12610 55311\n16684 96380\n22197 46471\n74162 77400\n15107 75309\n19231 56289\n46775 69193\n62871 85722\n4007 73871\n8251 90383\n15285 37689\n16947 35466\n30323 57547\n28999 55108\n23704 62339\n71196 95101\n26075 73952\n32510 63058\n20646 52311\n14423 43821\n70699 87052\n43557 58424\n10464 25819\n23476 35965\n3680 69813\n4729 51261\n81442 90747\n49082 69495\n32376 65367\n29859 77830\n24105 98022\n57799 71763\n1636 41907\n27257 48248\n5904 43514\n47252 53356\n22459 58634\n44745 81461\n48480 54830\n61480 63905\n38346 67907\n46008 75052\n4751 30956\n62387 67450\n16744 94156\n67054 89391\n63745 97758\n11539 63885\n56909 60324\n56163 66156\n7451 38075\n13091 92113\n14001 24818\n35181 86251\n27585 73687\n20624 24739\n44032 44532\n7591 91858\n21749 25157\n60619 84701\n25701 62427\n42713 96068\n21517 75544\n9868 90658\n34155 96920\n35794 51336\n6377 95398\n11714 78611\n29519 45617\n4286 69628\n20899 91816\n48858 69195\n3427 80631\n35786 57486\n60823 85343\n25747 46217\n11141 85115\n42249 47908\n37629 63750\n54183 86184\n6875 87047\n11522 70682\n53307 68669\n24951 45970\n50459 83869\n65138 72666\n34970 44765\n53412 61132\n24716 42249\n52615 60802\n6949 50246\n13858 16491\n76497 79939\n52552 61741\n52665 97590\n49089 89503\n54942 73315\n47015 66296\n20746 86197\n17204 75505\n46169 51185\n48194 96019\n8606 32726\n1325 42938\n62290 81246\n32013 93063\n40668 62296\n45783 57539\n27894 45845\n29949 66849\n39013 89715\n7140 8930\n46580 70031\n34847 45168\n3821 39360\n48322 74513\n83979 96883\n42480 59037\n39250 61904\n3258 43901\n35513 77075\n49623 51123\n45777 86433\n5872 63909\n41914 51716\n35450 97740\n19527 36289\n2972 3293\n6071 26466\n35203 44005\n9577 42109\n5905 80173\n31738 75895\n16414 21604\n38862 98002\n39166 73116\n18310 54590\n52268 80517\n53155 75185\n56696 79250\n27503 94258\n31377 78901\n65496 67802\n2011 4479\n15071 76070\n13034 32342\n17910 95992\n27815 62304\n10121 25170\n12894 15086\n85739 87386\n50987 74993\n73170 94515\n52362 71458\n44125 64854\n3853 80606\n24445 43894\n36604 98868\n41020 47555\n11483 32953\n26284 44882\n15760 47926\n1133 60166\n18882 83810\n4960 20310\n19371 80951\n11492 66229\n5695 79246\n6155 76899\n29710 86934\n9848 10727\n7431 93769\n70445 83133\n45075 97444\n24733 90362\n14241 44876\n86273 94720\n68487 70375\n50214 95499\n21905 23028\n10650 31467\n44365 69202\n23827 61005\n31748 78689\n57122 71563\n13246 90733\n21208 45095\n33911 59563\n53465 76801\n68998 88203\n2491 37515\n23696 85709\n9925 48957\n20917 21948\n66089 72397\n59823 70082\n16835 32992\n24223 79812\n59585 99514\n3611 26143\n46575 95075\n60055 64425\n2864 56341\n71466 72690\n79146 86538\n5520 62460\n35855 82244\n4484 72980\n41038 54420\n20943 52226\n80100 86969\n64212 78888\n45607 70702\n19300 35608\n36586 98272\n30412 37694\n10633 57478\n76560 99390\n43249 61624\n6214 70683\n10307 39587\n25275 91055\n36540 75091\n1964 8284\n5964 77570\n6087 28321\n10805 84006\n33844 93857\n10220 99519\n50087 90322\n5037 73668\n61431 64170\n47067 96240\n1304 18289\n13192 71537\n59535 99253\n26068 41644\n86895 87118\n9533 75550\n95346 97222\n36991 44468\n1591 71513\n91965 93945\n8188 97522\n44241 83225\n19799 36266\n15306 80713\n86019 96091\n70574 72661\n3936 24042\n66403 70788\n24815 75106\n10198 25021\n45783 68947\n56765 69328\n80852 98010\n21559 26621\n10620 53984\n14786 79721\n34490 65907\n16183 55568\n14926 90128\n51022 77351\n23738 85208\n47553 47922\n42174 66316\n61763 89306\n69510 76818\n29064 36230\n61586 79131\n23023 72156\n60126 66042\n69541 75821\n14433 72156\n45681 76559\n5351 48391\n24884 82154\n34586 37522\n33347 52453\n13709 44612\n27983 67422\n15321 32608\n26362 48947\n43264 47128\n50725 87085\n9732 15377\n41104 57570\n81689 94093\n8929 46687\n4546 47516\n30214 32104\n46380 59635\n51746 79005\n64966 98582\n36529 40982\n15253 97969\n30919 95865\n21491 31810\n54287 97556\n2389 30526\n57346 77659\n10341 68707\n66697 96660\n14862 84125\n12127 22510\n63578 73233\n2875 12640\n315 98642\n508 83016\n19373 65512\n2281 29193\n6099 97569\n18478 44011\n17836 95109\n42128 61617\n2409 46359\n14099 77276\n4021 31639\n20417 39668\n2686 34278\n44623 82223\n61182 78498\n78558 99504\n18662 58678\n7454 50474\n54233 62051\n39234 77367\n72397 99782\n5980 69409\n5753 15000\n22949 70378\n4899 56869\n72465 90347\n27574 51915\n15324 67790\n31378 49319\n24014 33300\n74303 78955\n19827 75622\n34091 75021\n57020 89606\n34528 89131\n6298 27739\n2688 92259\n41314 88557\n42659 43738\n62837 78865\n28198 46818\n7355 93129\n46141 83731\n24784 55111\n23606 64576\n18710 50529\n85072 99152\n32323 77832\n30667 43575\n74674 88592\n5225 54310\n27329 44327\n3448 31115\n7729 69530\n14438 21506\n57162 96277\n38152 97338\n14135 46274\n24830 36993\n66791 75568\n44487 57978\n1111 35106\n41714 87601\n71986 75355\n70086 85816\n11116 32239\n332 17767\n17847 32931\n37013 51130\n1188 83555\n41535 91542\n50087 99433\n51925 91797\n22625 55087\n44425 97188\n10639 50131\n5573 82346\n58230 60665\n58906 76780\n56691 59136\n23888 35889\n44443 54227\n22367 53573\n28104 85966\n88172 96900\n53980 71039\n17077 40651\n15138 62395\n52563 88821\n55609 71792\n15992 34630\n14003 28383\n2492 52069\n40186 98853\n28014 49280\n14094 36267\n11364 53271\n30424 95656\n1893 33617\n53297 77198\n20688 55405\n1221 77085\n43493 74428\n64936 88176\n40206 43538\n4434 66419\n9892 88205\n77224 94663\n68750 89720\n28503 57577\n49543 94449\n18930 93311\n56619 72598\n35355 75181\n40747 44010\n35955 77333\n14923 93068\n31250 83635\n19992 70936\n5914 81028\n30115 32794\n8209 48261\n20744 70664\n15441 84810\n29999 48044\n8411 95087\n7861 91497\n54067 75007\n54547 87522\n10422 39175\n8682 25374\n39774 77049\n39266 56802\n16066 87152\n31408 40282\n19538 55638\n52213 80604\n6339 87257\n9952 70555\n29452 55675\n31702 42406\n24246 60151\n67530 72081\n30228 87447\n30178 49170\n15869 59693\n1794 45358\n56951 76309\n1859 59478\n30634 77373\n7157 82011\n23964 62819\n86830 93910\n19700 69199\n50202 80159\n47301 61294\n11636 77827\n18462 79094\n28172 89620\n56180 88435\n24561 39209\n3369 62539\n53017 80588\n3864 21972\n1250 98420\n69224 94090\n75843 96729\n28075 31714\n67687 77269\n23027 77648\n24852 60463\n79068 83978\n2128 55262\n42772 75808\n30552 71410\n30401 33832\n3442 30318\n56435 58333\n50680 57497\n52052 89425\n16381 92684\n48548 81398\n53402 98880\n17808 29522\n9929 25276\n45163 69818\n51473 94302\n68614 87070\n41998 73085\n77954 80650\n35743 68302\n48729 60930\n19653 60814\n8240 89871\n64554 71231\n18125 74066\n24372 52577\n5546 72013\n63936 73588\n48035 67518\n45540 72716\n28096 59733\n32954 97927\n64906 67995\n88119 90847\n68780 78543\n56455 96589\n17672 33350\n17858 93984\n38709 44608\n27920 75014\n21642 36235\n11765 90493\n35989 43716\n30491 35510\n57848 84309\n35807 41649\n63864 96598\n72040 82128\n6468 52905\n30282 51864\n33085 78376\n38263 77265\n18239 59452\n26580 72173\n40424 55402\n18315 43990\n24295 39352\n13836 75940\n15860 94814\n50008 63976\n72415 91287\n24145 86397\n41203 46421\n10624 46207\n11785 33161\n33007 70697\n48731 84232\n22018 83359\n10205 42204\n23485 76973\n83695 99894\n2422 70519\n4752 78660\n40003 69907\n7182 57505\n15815 51287\n69994 88180\n84455 98567\n4290 29352\n23867 26675\n40045 45075\n61738 75258\n11269 69460\n22789 99408\n17049 84142\n60779 74868\n24168 81698\n46630 90413\n12789 25672\n10657 88227\n16966 31649\n36220 77376\n2243 46435\n65727 81374\n14953 76124\n50903 67278\n20537 86276\n20575 93286\n62799 99988\n17015 45918\n8857 90582\n5459 35428\n35865 63244\n13239 99836\n64998 80286\n31047 60836\n56203 71589\n6617 95856\n44632 67004\n46069 52476\n65235 80683\n50073 67044\n53751 57390\n39538 63432\n18714 24387\n21926 64910\n10303 84400\n12006 87409\n22260 66935\n4645 65953\n60635 61224\n85855 94298\n59049 86245\n87349 90428\n742 2073\n65909 99002\n10589 12632\n50565 89649\n9310 73958\n21711 70734\n9670 45800\n10885 37655\n64430 73713\n29819 64749\n7951 62938\n68147 76861\n22314 70979\n21 93999\n13849 70833\n63271 63565\n1927 76468\n6060 32612\n24446 39177\n77096 87542\n30385 86985\n51110 93346\n9610 78455\n57717 59125\n8684 62734\n1036 41285\n48655 75544\n1075 23518\n66375 66618\n8033 12369\n52247 87948\n2507 77822\n13490 34552\n8896 40988\n28809 78513\n12983 47703\n61905 63600\n56769 74076\n38371 72461\n1173 21312\n19457 54825\n2603 97602\n59734 75798\n7821 17309\n81185 92102\n14929 39287\n44788 82703\n4144 9629\n9036 91221\n31814 46329\n13710 97367\n18460 45101\n57057 94520\n77059 98514\n53747 91331\n5868 38519\n10143 63109\n29734 63129\n38476 49061\n510 64581\n13555 44344\n23821 87743\n41547 79392\n43463 51155\n55163 88380\n66331 74155\n51387 66901\n14829 54686\n57705 78363\n1464 18118\n77534 89844\n91310 91777\n1927 37501\n29972 42222\n18571 83334\n1373 23588\n36744 45287\n9602 24684\n35681 71881\n37864 96971\n93429 97208\n5083 36388\n9874 82452\n5338 76325\n47579 82272\n31657 79373\n11193 65807\n70852 96479\n49523 79898\n52961 62485\n40747 94115\n48690 83082\n26191 43105\n20574 92950\n12075 43992\n51653 99547\n1025 79957\n66483 77051\n22682 43318\n17960 24503\n34145 46328\n23635 33443\n19652 90040\n38632 70253\n4308 65974\n25545 46368\n11385 95677\n3011 20968\n39730 61540\n9073 9834\n16270 31879\n27971 96025\n37248 76252\n58369 99392\n8735 20243\n27141 81316\n92767 96646\n35907 58268\n1838 78091\n64140 78481\n54938 84383\n40039 82404\n53295 96875\n75119 89166\n56460 85422\n62770 97688\n7606 75701\n97744 99038\n49511 75198\n895 9598\n25434 70674\n19808 80591\n81818 91726\n44110 83903\n28489 95832\n59426 83281\n55326 61469\n45749 84935\n22098 26807\n60138 71539\n12579 41938\n3673 97649\n65682 76346\n8795 68677\n7933 89179\n674 87293\n11097 42599\n6650 15159\n14462 96571\n21961 77640\n55048 72424\n1157 31810\n14110 52163\n24857 69167\n84460 94924\n22596 97012\n7046 57415\n12846 67491\n6747 89270\n48313 48442\n30657 54825\n10286 64142\n54 88219\n65162 93034\n12357 32633\n61745 75600\n57895 81086\n14760 60823\n63140 92425\n63122 98293\n6643 33294\n9032 19622\n13138 73649\n59763 72160\n1097 67790\n31419 63840\n54396 79718\n51872 51916\n37047 48990\n12930 83065\n36270 41112\n31428 93111\n30962 54162\n18840 70668\n5812 85235\n13813 25422\n394 36439\n3966 35596\n60157 86272\n58646 76644\n15339 57919\n9630 26404\n27284 50956\n69341 76181\n29616 30007\n18782 86634\n64182 85027\n50930 63024\n45272 61828\n89912 98587\n3263 9847\n32652 82483\n30502 56367\n21396 69920\n1376 35930\n57951 59618\n46171 90881\n12886 47303\n12976 34557\n45822 88708\n59925 90841\n46702 73041\n84495 97747\n38712 93320\n47229 84914\n26600 99166\n13272 95342\n87989 98507\n82651 93125\n33687 87581\n41131 85520\n77254 89634\n42139 87263\n2449 35474\n77841 86992\n23592 33306\n3540 4257\n46406 76713\n32244 45256\n67747 74992\n17817 80095\n6991 32695\n42489 74529\n7480 48865\n36448 81861\n18100 19348\n23008 45563\n49952 88405\n51779 92436\n73601 90261\n50190 84656\n37762 43473\n35508 67029\n65597 65747\n22675 46178\n56102 67455\n16195 61840\n7297 18452\n13710 76195\n35366 59891\n83047 94608\n85484 99603\n19741 37614\n57319 93011\n12599 39617\n28371 35169\n22462 58807\n29201 68466\n14114 56275\n49690 95756\n12126 76007\n4991 93738\n1920 3750\n5568 41685\n12873 52943\n44075 45411\n73184 91305\n2000 30634\n1142 96615\n68128 69809\n15761 22395\n82412 90476\n34099 52894\n5598 40953\n26699 74894\n79090 99720\n6183 44488\n20610 62182\n51305 58929\n56476 91236\n18975 50839\n50537 69612\n16225 35857\n82035 86369\n15424 70182\n55788 66507\n35727 56982\n69782 95126\n13082 51802\n36188 79691\n6335 53823\n3158 76484\n26001 42951\n78920 96364\n31135 39078\n26593 30622\n21423 31050\n74426 77431\n40092 96763\n27239 48162\n35661 96552\n51617 96859\n39526 61723\n25504 30286\n42518 82055\n16815 46192\n24330 64874\n32307 84639\n49717 59354\n13552 27757\n40026 75769\n21485 76673\n20178 44464\n9446 14128\n64339 72535\n71166 75731\n44755 68396\n66122 80227\n37142 43611\n9739 89284\n39512 45301\n20614 60680\n11498 90435\n63410 70217\n58413 80257\n27538 56176\n29797 74159\n47481 53090\n3190 20266\n34870 40584\n75375 94452\n40346 78903\n13208 57475\n50401 57988\n17891 43563\n17858 94231\n46895 68195\n52179 75375\n5493 90611\n16394 46982\n5776 87839\n86497 87977\n39650 62443\n47229 70278\n74719 90321\n58110 92790\n59955 79055\n26231 62724\n25492 70410\n33135 50466\n59011 94442\n37511 98472\n26029 59240\n64684 98299\n26474 44554\n9434 30177\n9162 99985\n16910 33766\n25244 50771\n39376 69887\n39468 60525\n22227 63310\n28940 52898\n15821 84881\n43104 84161\n61303 75137\n67664 67773\n28166 56899\n12381 28112\n83963 93233\n35877 46626\n14241 86977\n62072 79572\n34906 56125\n21114 33311\n18813 19643\n69387 84917\n16799 47026\n74540 96679\n60446 77886\n4422 5463\n28646 30353\n29900 76457\n8064 79134\n17334 69348\n2330 79400\n41821 50322\n67550 88900\n42281 73182\n72400 91053\n40077 92499\n27531 58446\n54046 75355\n76267 84952\n33122 97406\n26176 57324\n46832 72416\n9749 75644\n19366 48268\n2923 28531\n1092 43846\n8606 73725\n32034 54437\n10125 38752\n68473 85478\n26911 84498\n85147 97522\n43656 50781\n52933 61049\n14859 31879\n46863 55240\n49789 98057\n652 62621\n26278 31390\n66555 80728\n3677 37451\n45795 98786\n2241 59097\n38815 70239\n41885 95684\n12537 50090\n8200 45946\n9918 41347\n76878 90936\n68407 69792\n50401 57766\n73561 94715\n29204 65000\n62815 88504\n38053 61593\n7475 21929\n67128 87665\n15596 57683\n43054 65206\n26089 66163\n23101 85036\n4841 86839\n14763 43860\n3434 52688\n26527 76728\n22934 93165\n50339 74029\n9170 35924\n28369 48576\n43898 65431\n68948 81682\n8969 76316\n36628 72431\n46380 96977\n21858 50733\n19749 75516\n71089 92726\n7890 8302\n55925 61999\n2022 83195\n48365 94349\n10912 19550\n29472 49584\n20627 83302\n60250 71824\n35786 68522\n9344 9445\n16224 92082\n3607 5410\n323 46513\n9545 76063\n12895 35093\n33998 47738\n6510 51666\n30368 94047\n16089 70657\n63790 84615\n12247 83622\n13528 91495\n4790 52785\n3332 67179\n63156 77449\n28202 70299\n76954 84375\n6821 13176\n46835 81407\n51767 68232\n40842 76595\n402 75191\n25376 37820\n11327 22660\n38776 84239\n7598 56617\n60966 89386\n41837 48240\n40276 89797\n57296 77478\n71927 98356\n31297 54694\n9553 68150\n21167 33699\n33587 97522\n66403 66410\n40166 69674\n19652 41882\n47446 61158\n8852 67452\n25425 69995\n15946 18221\n77579 88976\n392 9782\n36371 59252\n2473 3174\n58934 65567\n35381 57202\n70452 98712\n44067 44974\n21901 52148\n63789 67317\n68305 84111\n21645 94364\n16820 68696\n25964 56998\n23216 72501\n47336 48189\n42485 70942\n89223 94559\n33708 70025\n57146 75933\n28634 94881\n30050 39444\n60378 62206\n17577 97706\n48943 66627\n44886 90649\n84471 86412\n73455 79945\n6052 21153\n7897 43048\n19695 94809\n11426 56485\n19004 52366\n36560 99110\n11617 71769\n59673 96944\n50691 81884\n7484 63841\n7315 19517\n68128 88294\n14566 25828\n79443 89387\n25315 29145\n73310 90581\n24139 73692\n22476 97582\n44167 99192\n12440 85697\n11837 22922\n25317 88656\n17744 64280\n65620 98196\n46183 72287\n49102 92646\n7520 61202\n1165 56383\n39146 95057\n21702 49992\n77060 98267\n58304 62888\n35640 57283\n17608 52817\n42491 71480\n61140 93546\n24064 89123\n40533 99977\n36527 40495\n12603 27192\n5788 58707\n34047 89695\n11936 79731\n43032 56804\n37094 86511\n34715 74082\n79924 84056\n53244 88247\n39188 70418\n29760 76587\n70302 96338\n37621 77816\n51725 62088\n27580 66301\n25332 41105\n3994 62146\n58807 94577\n61808 99410\n49393 83305\n40876 58432\n86065 97533\n13978 54053\n33627 65987\n20122 33202\n29860 78385\n62748 99232\n37747 89264\n634 92774\n16008 64904\n37414 96168\n2797 98181\n20915 92213\n21753 25760\n34384 72523\n26221 89308\n71870 82308\n38433 42877\n43698 73399\n78274 79564\n34186 58814\n19909 62693\n76390 81967\n45150 56887\n19303 58687\n82607 92653\n4907 39982\n18650 80207\n56523 73500\n2155 82025\n6149 19868\n26256 63267\n17628 77532\n22887 32308\n36471 45173\n52272 77822\n29112 46583\n33153 69376\n85410 91056\n24683 66347\n71493 93883\n75179 79090\n43548 96389\n37460 58412\n67462 98982\n17464 98789\n8392 46603\n37612 99834\n35416 76139\n9633 47943\n45775 95855\n31667 61799\n65716 89962\n15812 26462\n18672 55482\n10045 14455\n86372 95061\n39977 59040\n9915 41806\n42383 47205\n32408 43390\n30124 68856\n57159 95882\n63832 69928\n27784 82629\n3587 72780\n50001 62580\n2303 89434\n45942 59782\n10022 41446\n4293 84718\n31841 79341\n43089 49281\n19867 84245\n11098 18952\n17793 42026\n68873 79070\n63170 89719\n71424 89825\n11278 66381\n84892 97124\n9665 26958\n27416 78378\n75669 92797\n44791 74601\n11912 59778\n26081 84832\n6830 81767\n1861 94202\n26526 57219\n10778 53957\n53843 96362\n68259 71590\n27863 41015\n36349 72228\n5658 81438\n28233 36143\n62807 78748\n7457 73624\n65469 80052\n66476 81863\n40358 41254\n18982 56617\n36482 63252\n48321 58797\n50803 72328\n30345 76115\n26515 77891\n60810 76081\n33704 91018\n27432 89725\n19235 81393\n21664 79013\n8227 93801\n29048 30609\n61591 73825\n2268 14704\n2311 81701\n43646 84283\n68512 85431\n58405 64171\n51482 87817\n42542 90047\n25515 62874\n34562 53251\n2130 13961\n4750 22340\n85467 99827\n12301 45073\n3690 95616\n65590 72786\n2413 91610\n74756 79781\n62212 91525\n24881 46220\n36416 71930\n69890 99280\n8145 62025\n37822 74260\n43886 49346\n79108 96617\n68100 89179\n37195 90016\n32752 56787\n42961 99144\n43048 78693\n59608 81623\n10686 48741\n13436 82384\n32326 64664\n78554 90886\n3953 64761\n923 45827\n24777 82941\n25555 26698\n60112 67505\n4612 95991\n27195 84206\n21460 60720\n7218 14656\n55853 73501\n59183 97860\n44485 97730\n44115 51906\n26708 34163\n25187 49731\n45170 97764\n22124 89962\n67471 99346\n50491 76368\n49125 94960\n6060 75068\n14348 27488\n41464 91826\n34446 88753\n29481 30647\n17863 21385\n27357 78280\n6376 52456\n19379 49355\n4168 95304\n5772 48109\n4218 4602\n136 4485\n70921 76595\n55480 73379\n38903 42327\n26972 43583\n29258 57879\n31621 56688\n12930 64687\n56057 89361\n27808 55452\n4067 89723\n51794 88103\n7506 88089\n65563 85946\n27879 43040\n10012 40268\n12273 55304\n13490 61293\n11400 70242\n45841 73164\n72073 89828\n32820 57721\n36644 95945\n19449 60106\n66087 89145\n9367 47629\n24325 45314\n55175 61597\n51689 81272\n6704 8475\n11036 66334\n62227 84147\n37788 83798\n71783 78177\n31324 44683\n65768 89705\n74068 89682\n5668 97505\n13846 29214\n12841 35791\n17846 38913\n33054 44770\n10952 86894\n40800 72472\n9749 82240\n11749 51842\n12141 96708\n3483 22800\n54155 73483\n26860 54923\n3984 17262\n48320 61424\n9434 68021\n47666 75126\n11635 58568\n57822 74287\n5478 66427\n58747 95857\n27328 36342\n79335 88131\n50333 72044\n67413 79462\n32259 81622\n72401 81141\n58756 60440\n64173 90207\n51662 90748\n32266 35874\n63587 66986\n13219 18587\n17256 83634\n87485 97374\n7415 68564\n16970 44983\n17375 83029\n26399 42502\n18074 57675\n22671 59721\n44022 62013\n39650 70237\n68793 77354\n15374 16068\n84648 89676\n18358 32851\n11946 89901\n38382 56350\n17301 87288\n39744 53591\n8319 94871\n3745 35240\n35815 64867\n57913 80884\n45893 61063\n19073 78938\n45857 52551\n24842 56089\n15725 53034\n29351 49917\n42614 49840\n25029 45053\n10914 28540\n11580 26794\n38748 80271\n42866 50255\n87264 87770\n30201 67314\n56087 79705\n71761 73490\n37862 66685\n1912 19371\n42012 44656\n39246 61933\n9606 20049\n50504 70817\n19235 32034\n5375 89626\n12763 91678\n47116 51346\n53540 88783\n1580 10426\n20190 87360\n68584 84827\n57354 58575\n36584 54094\n72675 95254\n79820 82815\n8862 40681\n11061 60944\n70684 94073\n20742 31466\n42441 78016\n26144 45486\n2427 4162\n24898 85407\n59527 70997\n40306 71106\n36982 71384\n2993 34570\n73553 83757\n9166 26834\n21953 98104\n80289 86654\n47715 64861\n7389 42777\n6554 91761\n49337 50416\n2012 56318\n66726 95081\n38027 69748\n45893 75642\n46907 71100\n75818 82712\n34224 43077\n22080 62181\n35689 55703\n24286 33927\n3197 56277\n9434 76899\n6767 48005\n35962 98910\n34553 37139\n73147 78791\n41786 56519\n54740 98446\n41482 80084\n61855 94316\n23645 52618\n18691 86884\n19909 41359\n52695 80142\n2260 20634\n26670 67621\n61018 79120\n4926 15254\n27895 68000\n14810 66516\n14189 89440\n18139 28568\n28456 60315\n48401 61014\n9261 28058\n34198 64952\n49375 60738\n1246 29152\n14527 24043\n57333 89393\n10513 80395\n17436 94641\n46100 98980\n28243 40109\n52862 95213\n22852 37617\n14088 52791\n65019 87189\n15505 43708\n14188 47386\n35855 98466\n49593 77436\n11545 27092\n7060 93455\n27666 42299\n36111 42960\n56984 99682\n51653 86734\n27755 79760\n28951 60101\n59305 97918\n47499 74165\n4460 24515\n8755 91651\n2091 50838\n34381 62163\n79313 88866\n22988 37989\n45733 60379\n47883 91201\n58730 67500\n51041 62779\n14276 83442\n6838 11700\n52426 57961\n50398 96435\n18945 86958\n20205 63377\n15578 49977\n21057 91960\n23932 57339\n35795 61669\n11827 61344\n10145 66630\n3872 89854\n71519 89454\n28641 50320\n1970 76657\n4988 77917\n71429 99327\n46824 51483\n8290 24873\n51119 73241\n85024 90731\n557 67782\n88695 97324\n21500 44113\n57206 73953\n41564 70323\n6984 29824\n53577 62490\n52308 85131\n7655 22536\n52331 80226\n588 20519\n50923 83347\n64367 68428\n15720 72459\n3242 85490\n5381 22139\n40964 66452\n84936 85127\n41537 66270\n53871 95211\n2090 26097\n64390 80691\n56591 83318\n9172 64571\n22462 97892\n52884 75645\n13367 76820\n7230 25958\n5393 77013\n22557 90353\n41654 98237\n18255 54275\n13815 94736\n64621 72479\n28638 48930\n38285 54217\n2325 8090\n9354 99672\n82473 94668\n72031 78774\n19509 64552\n53370 78563\n38007 98152\n16900 88996\n2656 4875\n63673 74026\n35698 58616\n29079 48919\n17957 97977\n22926 93208\n13097 56315\n18076 75238\n26454 56570\n41791 84498\n42923 82007\n28312 36381\n40084 62408\n34795 95756\n6186 85671\n37908 42208\n62522 86242\n41344 80914\n11835 37203\n38218 76391\n7186 56371\n49347 92146\n48488 65854\n3635 5804\n29917 99439\n21242 37963\n283 71212\n13723 44872\n26190 31049\n16315 53972\n15959 98077\n52168 57431\n37812 43171\n89795 98285\n19107 91192\n21975 80549\n9815 57464\n41104 94043\n38056 45576\n30886 90052\n16006 47312\n13150 16985\n86428 99694\n676 19060\n7064 47150\n3068 21781\n54799 70185\n8186 85189\n22343 87805\n23201 82804\n28382 81142\n17159 80751\n62845 93412\n70977 97258\n27806 92376\n70268 96098\n4188 74745\n4399 99381\n50972 98853\n46797 90853\n71351 84899\n73716 97148\n4459 82685\n33128 96063\n35325 75575\n51480 73817\n1068 52653\n19072 55597\n68412 94230\n43737 93487\n32625 98701\n4331 59127\n85355 93657\n53023 55312\n27163 36833\n75073 83168\n5919 16121\n19382 37092\n62844 74530\n53382 55988\n25137 87677\n22488 93195\n68505 72214\n58585 92553\n41912 85015\n59814 86188\n7814 35143\n14714 88005\n50663 64332\n19638 84535\n20565 77307\n5769 60173\n93641 97976\n16942 54662\n49877 69443\n46545 69173\n38231 83938\n59120 74517\n2535 22245\n23673 40137\n55739 89594\n21624 83652\n29805 68248\n58829 90116\n15566 90045\n74360 89355\n32702 93772\n13191 87018\n31112 93782\n14377 36912\n2383 90806\n8222 66503\n19905 95423\n23729 73314\n20822 84598\n68293 88501\n2519 22760\n30292 79140\n6207 82891\n13103 87112\n67640 92883\n41254 96483\n70191 70758\n40489 89847\n11988 64045\n37210 68830\n3486 84080\n30787 79720\n62910 80555\n9982 86740\n33389 46914\n16880 30177\n10813 70662\n29879 33351\n28407 90170\n11264 82365\n34625 96862\n11378 61065\n34120 66512\n12699 23894\n43928 45388\n32753 66634\n16571 97438\n55057 92675\n31495 99654\n68483 81623\n38297 63587\n53865 74047\n24704 52949\n31564 39537\n67802 87753\n71059 95575\n29768 37044\n31851 73124\n4457 87584\n25423 34141\n39077 62835\n49478 71687\n44192 69572\n53987 63070\n25018 75816\n13816 44303\n3133 93133\n49133 71082\n14864 74710\n17896 88401\n60547 79840\n61991 86127\n7934 20839\n71893 85522\n54225 91432\n49280 56571\n12734 91102\n4362 95631\n5033 35461\n5916 22330\n3990 11241\n28568 47295\n38258 72488\n23402 91886\n5279 80905\n8084 71645\n17756 63221\n401 28094\n32015 92228\n21868 82655\n18468 56078\n30334 97750\n7702 17185\n22463 47938\n37083 53844\n62303 91378\n243 69243\n25127 51150\n10569 96356\n14948 41222\n17667 46847\n3035 60170\n11207 17394\n8304 48962\n21412 67085\n26115 90101\n22122 85282\n6443 17893\n22719 95571\n9269 49818\n27193 60614\n10456 56495\n63064 95391\n71298 74831\n11605 75997\n14454 26855\n1575 84642\n21333 21584\n37751 80749\n10715 76938\n6364 49037\n12142 66871\n29445 76085\n2326 51496\n55881 99143\n77408 93578\n71813 97147\n17469 92221\n36364 65943\n10516 47929\n68578 93833\n55016 57680\n39523 91230\n21659 87387\n18909 81001\n63128 64217\n45581 88695\n37700 52046\n28374 38035\n26568 44549\n5519 87263\n46931 73865\n38301 63481\n8101 69624\n14598 36516\n4418 65038\n44961 75882\n35839 56208\n31276 73827\n36965 73800\n59010 81470\n36732 80346\n38588 67481\n42351 91680\n4745 80506\n43983 96239\n17438 63160\n13052 50224\n23226 42827\n10683 42076\n15868 17543\n21843 71843\n6485 36116\n1822 93920\n56517 63993\n7 17307\n35725 70981\n11445 82417\n15503 61956\n67057 89458\n9970 61773\n22001 82880\n7424 35958\n37743 57301\n11208 80348\n78732 99524\n1307 16963\n11887 15216\n32110 35691\n2521 83069\n3182 97875\n14262 84399\n55745 73525\n13491 75182\n91170 99450\n48247 94816\n45478 58481\n17574 54443\n23807 97652\n89695 89878\n35106 39730\n28525 56634\n81140 83724\n4420 57017\n20082 84402\n60866 94863\n52201 60247\n7835 29167\n77131 77146\n19204 66319\n14177 86977\n24268 86914\n11314 76813\n44639 83738\n11035 24178\n27356 93883\n48829 69521\n54430 56603\n46484 49167\n62100 79964\n43655 91183\n45561 73715\n2935 35769\n17572 71021\n947 75234\n39945 87999\n8473 90808\n32024 80227\n58617 63091\n71143 91383\n40548 71441\n4051 90285\n62047 71255\n76309 80642\n8128 82486\n20421 43016\n56829 61829\n5552 83519\n43124 83575\n10592 57612\n9660 60462\n38269 72887\n17406 24076\n3348 89441\n75474 95909\n40553 87433\n14181 73095\n5349 28110\n68986 83198\n75305 88718\n25578 46269\n23052 23266\n14293 84389\n310 60598\n15490 29270\n47227 49920\n47579 89075\n24863 63707\n49474 79521\n18478 89912\n21755 74378\n16069 47713\n46652 88086\n43021 54570\n18434 40117\n61282 82647\n3449 56925\n6503 58948\n24191 36421\n46336 63305\n2209 85466\n58799 64181\n60648 71647\n32413 94405\n18885 86833\n2966 75827\n35388 83105\n74462 78229\n22866 81245\n29928 42012\n24970 99480\n58952 68075\n8503 57458\n89775 98196\n9165 16694\n3442 74013\n1727 47153\n29517 67974\n3128 61669\n72909 86549\n14139 16515\n37828 89434\n52244 59437\n9098 69773\n30540 40299\n77716 95812\n85597 95627\n60335 71542\n96 84858\n44593 45530\n8221 78570\n58948 97654\n28255 94302\n40867 94290\n21262 88248\n86500 98106\n55142 72359\n29236 90852\n34259 75346\n2366 65659\n8588 87518\n19297 57235\n53074 75528\n3120 72616\n50597 89396\n45231 97858\n42033 74046\n35812 55532\n32434 71222\n6410 80957\n32582 46386\n53312 94149\n75399 88893\n6169 17452\n53606 56286\n22247 87601\n34401 45016\n67670 89712\n6067 80876\n12075 51978\n21 19459\n34093 99797\n14478 78559\n64628 97187\n3814 84448\n16988 34829\n33995 40682\n39620 65234\n17444 65215\n20207 46132\n38492 52841\n4178 63495\n14065 14149\n13403 14973\n61667 82130\n24025 82475\n21322 26119\n34893 87526\n32615 49057\n64650 70704\n65082 78743\n11150 30105\n59104 98584\n29908 75340\n80916 85944\n22350 87220\n6881 14714\n10936 51382\n76495 76734\n58987 71910\n17276 95054\n3386 7688\n25162 96943\n56333 79122\n44910 67825\n44286 84252\n84912 84963\n17215 71551\n8122 10782\n30191 77362\n47756 93182\n21747 30456\n7355 97145\n35228 61374\n56389 99534\n67450 95334\n91872 95217\n54300 61057\n46573 64555\n50523 78324\n433 87665\n92042 98435\n7252 43126\n4347 49835\n33853 50289\n30324 63832\n69994 88659\n26527 91741\n84660 87163\n2635 82711\n9758 97532\n5980 54884\n64635 87752\n11298 19403\n12048 57060\n24739 36580\n35073 82435\n12456 92880\n22934 60377\n7200 53973\n21878 61680\n11446 31728\n88440 88697\n46310 92046\n30259 45899\n3971 80972\n31438 71326\n5845 80480\n37491 94091\n48881 72205\n15299 26359\n33717 74957\n5394 35702\n31441 98641\n12029 91680\n68450 77930\n5838 52018\n56008 82786\n72330 97149\n49683 86187\n3053 34170\n192 83033\n12272 63905\n33732 88772\n9078 73388\n17441 78473\n16009 50938\n32489 46202\n21669 56602\n5869 65426\n62916 92921\n85959 95780\n33664 61687\n23197 29364\n12519 24974\n19133 28885\n14314 24598\n74555 87797\n61430 69058\n94779 96071\n39294 93055\n16772 34806\n66734 75893\n63774 72918\n27338 33693\n19832 94292\n38949 89820\n57123 72278\n11059 89698\n54325 98553\n14299 82236\n38815 63575\n17872 71924\n20619 81977\n44311 46023\n1016 74093\n19268 35340\n17219 27412\n85375 92548\n6092 96211\n61988 72460\n64802 84758\n24383 24457\n27873 48203\n5457 31503\n35002 42523\n17598 71836\n1456 44311\n31805 53993\n5260 57298\n21506 26741\n46187 80330\n10107 89917\n49151 56257\n16305 97544\n10903 60357\n29524 86996\n7853 14507\n39440 44220\n16552 81657\n36142 45620\n74551 93390\n9910 68630\n16288 36465\n12625 53030\n2897 61250\n16778 90372\n8356 69377\n8259 74619\n19308 89002\n92302 96776\n10547 52608\n21366 71966\n6488 26860\n26168 43322\n23629 74625\n83917 96466\n61696 98265\n5186 29045\n16103 22601\n7048 24705\n30688 96009\n8509 77748\n21980 33994\n64166 91447\n5895 37995\n18556 65870\n11747 52298\n3853 21933\n69606 73105\n56424 81629\n26718 65125\n483 96650\n39670 55906\n19568 73375\n18673 23739\n4713 62397\n7155 13037\n51785 65254\n36836 46524\n34786 89392\n37795 45773\n11105 15014\n13756 31766\n56555 75114\n65605 82236\n46840 72477\n43374 58159\n24480 86790\n26506 48670\n8682 28544\n2151 88118\n43230 58704\n2333 98640\n2314 21037\n3787 9622\n29787 64521\n52595 95787\n50457 65272\n10749 74402\n15483 85030\n38521 66413\n32309 89874\n29511 99068\n44689 95945\n9239 63713\n57242 78947\n33681 55830\n14224 25920\n71669 75194\n14926 44718\n45273 80483\n6215 14184\n18545 44370\n53336 92683\n6270 27322\n67740 70990\n66186 84586\n20528 22890\n26712 61933\n12894 26085\n6982 35599\n26811 47354\n32497 99609\n40593 66746\n22785 35595\n36168 77526\n51262 90587\n9875 69581\n13151 82142\n11433 52640\n8217 61695\n58858 73949\n11168 78171\n57684 73689\n39465 40907\n5886 65523\n20983 36336\n38616 94017\n12612 75399\n12266 47319\n56678 66230\n26434 65782\n1380 88490\n51231 60765\n12647 99892\n32286 73540\n6664 71325\n2567 3896\n45863 61099\n74130 76633\n36425 57374\n59567 85795\n84931 90512\n46606 55094\n74950 90813\n5714 92055\n88060 91080\n3532 8926\n14954 36947\n53147 54452\n17458 44402\n63605 76844\n25169 79132\n6113 15840\n4544 66282\n16502 99231\n94266 96824\n32712 45038\n4158 44830\n90047 94329\n34926 46176\n31950 99831\n9207 55711\n4995 77383\n48148 69308\n72996 93000\n36721 86079\n16796 79135\n66313 79985\n58291 78896\n21926 45862\n14005 63560\n25925 50299\n25855 41569\n61608 81013\n3638 82632\n42697 53818\n38927 49700\n79080 83430\n47590 74781\n78761 95378\n1080 82678\n27606 56908\n20466 27110\n27499 37536\n8648 17483\n31468 95364\n4431 34168\n7427 9043\n38531 82842\n73006 79018\n16425 37637\n16093 83255\n44223 72230\n25177 32558\n30405 51397\n708 62190\n66711 76319\n53229 95926\n85157 88733\n19792 23791\n29878 74715\n18057 60075\n37330 58969\n33767 35771\n610 99375\n86137 97092\n1588 77274\n32980 37362\n43696 62791\n21698 77713\n15072 33694\n40463 42965\n11358 83662\n3750 82895\n33549 86305\n50271 58431\n72527 94588\n79031 94539\n32556 73542\n28916 48138\n35522 40148\n49539 77379\n2544 24501\n66938 85834\n48609 97977\n10129 78973\n90365 99303\n54565 61879\n61438 68544\n26242 86701\n15952 84491\n25486 88462\n53166 69897\n14571 56118\n58217 65610\n3910 74703\n2862 18149\n52032 86906\n21136 99249\n15536 84091\n11932 28500\n4114 58185\n14218 46680\n3107 7900\n14218 81651\n54450 97968\n9156 28670\n2938 49421\n45989 79087\n15759 53134\n33140 52364\n42911 56549\n1541 13454\n58304 61438\n35347 37349\n42254 53479\n68052 78381\n28182 56838\n33820 38134\n56805 66669\n16631 42895\n1228 97455\n17353 78333\n8793 82410\n14570 70756\n61986 92974\n10217 50050\n11696 26971\n16201 78708\n45351 85719\n19684 54290\n27127 33968\n18630 76347\n48701 70939\n44453 94997\n28262 48578\n25682 38691\n16941 22955\n15359 73689\n15840 33610\n47673 81611\n6509 69827\n7040 55139\n21642 73071\n20309 29245\n49410 79461\n19854 77783\n12047 38719\n17312 69474\n38402 75839\n35308 37491\n57357 62727\n32363 34080\n740 35562\n37722 94147\n92667 97455\n11483 57007\n24036 99149\n84548 85516\n69100 89655\n14461 66309\n3151 76312\n53564 92663\n9404 57925\n33941 37738\n71195 81987\n49810 72058\n13230 99123\n24507 93105\n79940 94582\n29867 58395\n25989 78039\n41129 94528\n10157 74154\n86234 90392\n26726 45133\n15510 60383\n51991 91993\n78879 87951\n4545 25134\n208 99890\n30613 92996\n16900 38513\n62021 83239\n1450 92901\n12220 28627\n11844 86727\n8188 31759\n24400 49936\n21603 39741\n47909 87692\n72612 75365\n52304 94416\n65129 94708\n19395 89488\n76309 78313\n19363 58656\n2245 90011\n54636 88874\n9760 52764\n2859 18571\n11214 37832\n1506 95150\n70227 96810\n9710 21580\n40357 60793\n4216 96243\n25858 66767\n71816 93087\n6018 64578\n63336 90948\n12737 96611\n10093 59119\n8865 99478\n5218 39951\n38896 62022\n73517 83218\n31565 35598\n28728 96009\n32432 52860\n19540 95317\n26900 64991\n4840 82545\n21787 97699\n44472 80230\n35637 62249\n37825 73900\n36506 63473\n88230 98971\n51621 89959\n89932 93993\n65473 85391\n80064 83489\n31862 77629\n16466 98235\n9841 57895\n64174 73145\n50647 89956\n50206 88128\n3177 80963\n35807 73286\n52588 55069\n41999 47025\n53305 55203\n37557 89003\n86261 95474\n18826 44810\n28050 72270\n30284 79480\n59454 98341\n8428 21782\n25097 38192\n3266 41724\n46470 85940\n68177 75379\n10443 37496\n50060 50455\n16425 95438\n29435 73310\n39387 51122\n15599 63566\n23737 78024\n44495 82702\n51357 90751\n21398 71632\n42789 59989\n46234 55960\n13829 21389\n34334 77239\n48324 48577\n56710 81529\n50784 60076\n19820 60078\n19920 74075\n93028 96148\n14845 36348\n15385 27027\n37024 42832\n56019 76002\n73074 91366\n21226 40064\n4281 62401\n65036 79181\n42063 72509\n44661 98997\n66807 89088\n2353 64693\n41717 86094\n12173 40518\n53159 72159\n5901 24259\n1395 2306\n10388 48606\n2170 2558\n18999 95811\n55540 77772\n53323 88204\n12212 98426\n34160 67557\n59793 80506\n84621 91764\n6705 37423\n6512 41744\n4678 51405\n86177 91052\n32098 98523\n78805 81202\n35329 93505\n14145 59731\n87019 90265\n85359 96073\n34216 41615\n44941 57684\n23568 34153\n32734 54628\n17152 56475\n68145 69431\n62531 83978\n45138 53209\n31555 61664\n48760 66875\n23912 72413\n34659 38194\n16076 84171\n39618 63040\n6711 51558\n31313 94042\n2639 13425\n5473 28468\n36110 88076\n5032 45605\n3451 51012\n12202 99338\n46159 61610\n50889 86038\n1702 73150\n14277 75419\n11331 17147\n59821 88088\n4042 13789\n8459 18862\n53016 68123\n13150 38305\n57377 94218\n34451 76430\n37131 73939\n65806 91548\n20479 73199\n47046 58320\n2857 71733\n16221 78404\n3207 28983\n8361 35772\n49986 82447\n83753 88830\n26449 75789\n9420 33732\n41338 72192\n22515 68334\n65511 68791\n73988 88847\n33798 55418\n13730 96454\n19060 86232\n36642 90586\n43667 55191\n58985 76379\n13137 25510\n33012 42648\n4500 53410\n156 65771\n32680 73624\n82941 90982\n4111 82958\n22783 63821\n7937 24400\n26736 56969\n50881 59941\n20374 95352\n28332 33883\n52420 98285\n68633 81765\n13913 95790\n60939 64030\n69788 80686\n31743 40161\n5085 29954\n81705 99917\n16039 78998\n23666 90512\n47303 62417\n19512 41611\n6147 67516\n12242 80831\n83089 96057\n45443 91916\n52461 96343\n90966 94176\n51825 98328\n84552 84606\n36352 64701\n59664 72600\n32755 51779\n26489 92934\n23617 50825\n23772 71293\n14379 92767\n42133 63144\n24822 70909\n2416 90788\n25464 63773\n37591 68899\n20999 45174\n23802 75106\n33710 91119\n83930 87003\n50768 53016\n38577 39483\n23090 41802\n14620 16458\n90059 92603\n48927 84711\n49672 60568\n29432 89606\n40977 94565\n80675 94780\n18022 52420\n15543 47882\n1484 66140\n32132 53291\n53135 78051\n25699 31368\n64119 71528\n23589 92849\n19025 30540\n76362 85510\n48623 66573\n66949 79906\n4301 97010\n40302 54899\n24197 62802\n19862 36425\n89330 93403\n73503 95001\n40960 82169\n36844 68353\n54679 75702\n25017 45664\n40733 67612\n21227 79511\n2098 24316\n35666 99036\n76303 93892\n31920 52003\n40726 94287\n55892 68923\n58158 98906\n25157 69804\n32392 63010\n36679 77543\n6175 39466\n81233 98504\n38847 63545\n45406 87662\n39542 93540\n18851 70730\n42857 95997\n9990 43593\n79626 92907\n60093 84880\n30982 88614\n3256 62893\n41328 45881\n57192 74786\n4836 59256\n8989 32417\n16701 62609\n56747 79564\n43808 63931\n38603 80327\n15202 16267\n37836 92062\n78422 78473\n24737 83086\n65546 89299\n35174 67261\n35792 40547\n53594 61864\n24838 39841\n41398 59541\n5481 31956\n43745 88185\n9947 56553\n5828 62845\n14714 77053\n12464 61054\n28238 34725\n71490 99704\n49143 58194\n3348 54998\n21544 30513\n31285 63123\n20169 34683\n61646 78519\n58112 60459\n39548 43191\n54791 78680\n20678 66616\n13547 58312\n72964 79123\n3662 97121\n45996 49164\n38661 43680\n41030 79677\n57200 75873\n11253 44616\n61382 82527\n33669 81098\n70657 85033\n1095 82204\n20599 93080\n34648 41455\n28333 31117\n62027 97974\n72872 84996\n8593 21132\n35159 96269\n31921 73281\n70186 79823\n39282 97217\n40754 70617\n14905 61679\n91508 92322\n19692 85920\n6855 8150\n50734 73528\n74813 93695\n38639 77066\n1533 50335\n32779 40413\n27650 95671\n18081 73664\n2658 73886\n10475 77265\n57338 88051\n11575 93421\n40082 94855\n59293 97524\n20206 81866\n15820 73179\n51635 95539\n21964 58004\n6213 18016\n84706 87313\n47587 69538\n37293 57329\n13932 63413\n19801 46185\n12220 32192\n8420 19798\n66225 78401\n50273 97957\n17108 76905\n76632 77892\n39730 85650\n69729 93578\n84330 97056\n3588 79709\n16092 81885\n30028 58693\n26118 47232\n17323 72490\n16861 47453\n20777 90531\n19736 93025\n77455 93479\n33244 61379\n5386 83912\n23758 55566\n17108 65922\n16474 73490\n12917 17464\n7738 95473\n1694 40208\n31097 99250\n2418 77746\n23507 43402\n53026 73864\n88392 92649\n421 79532\n78099 86458\n18810 23794\n23264 81551\n3645 96862\n26222 49269\n17577 60141\n7721 49683\n311 16353\n20943 29781\n7291 71248\n34206 50031\n14107 67333\n5842 68216\n6302 48340\n42528 76616\n27961 97647\n63115 74695\n52364 87436\n23729 33375\n2294 76706\n59709 78211\n8215 41690\n69033 92057\n47142 80784\n7649 51787\n62483 76704\n39737 81949\n40457 67856\n55768 65152\n3695 99678\n24314 58695\n3773 90563\n21357 81714\n66586 85259\n10480 42422\n8948 31491\n36607 67116\n9160 29778\n12017 99842\n9642 19465\n56259 97763\n48226 92429\n12413 89344\n76988 81207\n62802 98626\n21416 30071\n10364 11457\n46941 54755\n20267 88587\n43264 63618\n28761 77386\n58300 63210\n15697 28269\n82299 83637\n19222 64488\n11149 68384\n87268 97031\n11226 43442\n61462 88271\n5766 33353\n1037 64678\n13042 81375\n4578 66685\n32729 98585\n13993 46511\n6960 65800\n20717 30624\n81579 98665\n4865 39570\n47364 82555\n78961 87939\n46082 64513\n43885 76044\n20553 29007\n15723 16059\n17374 38510\n2338 89370\n39280 48693\n1277 39084\n36951 82061\n54157 99393\n15548 26056\n71956 91063\n34788 91878\n23708 98704\n34012 59330\n2696 47527\n38296 98221\n74296 77240\n52411 63496\n79581 84866\n42196 92437\n28300 74637\n19380 82252\n35162 56480\n8235 66887\n28734 90542\n47567 59014\n54448 60897\n15443 50874\n18307 32693\n34183 54265\n57397 73792\n43483 70390\n11067 77852\n58191 93032\n39927 92040\n26747 76388\n2074 84276\n27868 28055\n11975 89857\n28172 30628\n13938 65227\n8720 81913\n26702 82154\n11946 58049\n10590 92046\n17102 72358\n1300 41414\n18272 38067\n50773 83846\n24968 75834\n24732 81136\n46918 98785\n4421 53951\n47820 55232\n1176 42107\n20406 66602\n18074 23499\n1674 66762\n6598 59946\n24826 86570\n22845 45981\n58774 71883\n5615 89803\n2313 76652\n61462 72582\n7174 30033\n60322 87903\n53356 82844\n32064 90941\n72197 96563\n59388 79393\n11515 19498\n21329 33049\n44490 52645\n39848 99826\n20721 58220\n37329 48802\n6485 93034\n17273 46138\n57888 87155\n22676 71331\n60401 87602\n58607 83954\n24814 70667\n22551 74613\n48331 99379\n36216 98813\n34365 75554\n63577 83096\n21848 59235\n44665 98948\n11236 12377\n51197 98880\n21507 68587\n50380 69792\n4399 42036\n37498 59987\n34802 86227\n26337 31317\n19404 90330\n55422 66811\n56045 61771\n19155 42081\n61954 99699\n54820 80541\n29002 89126\n91238 92529\n22872 63338\n6123 44378\n85204 88259\n59946 61789\n1177 45439\n18947 29563\n8626 48707\n6905 73027\n4666 56939\n39971 40111\n32612 99304\n50332 95749\n29293 59696\n48520 95218\n52907 74100\n12348 78958\n34574 70753\n54499 75920\n454 97732\n11978 37648\n2308 17048\n33686 85269\n56157 60866\n72125 92171\n14413 61755\n14938 16930\n18670 96484\n17223 61546\n5072 19574\n29766 81348\n71080 77182\n28562 78418\n7576 10912\n21785 56301\n8690 95861\n779 84941\n9027 84006\n14034 79715\n35191 76782\n54912 93007\n19832 44199\n14369 91108\n8790 70373\n265 40010\n15385 95967\n24904 41941\n46363 50541\n18635 90633\n7469 56385\n55245 87731\n11992 50614\n57011 74327\n9189 36052\n44833 63766\n46552 77340\n8229 90949\n14904 17279\n18488 24025\n54387 81723\n1463 21557\n44042 46746\n9724 72854\n5650 44295\n11055 84737\n22196 60558\n15582 72302\n187 13005\n23921 31222\n25058 84846\n6465 41311\n709 86762\n35972 59439\n10947 44530\n1149 96810\n55170 85875\n4133 33954\n12367 51380\n19771 29585\n10936 70100\n39994 64751\n81599 90592\n17391 91191\n75820 99288\n50850 70848\n16067 23811\n54035 77195\n10535 20686\n51652 95523\n35217 82522\n9326 96422\n58244 90395\n26060 59119\n7865 78960\n2812 18241\n42031 93615\n70946 88149\n56359 59020\n14523 96472\n24237 59072\n32589 77607\n31333 70240\n17178 38296\n4355 23280\n68763 97429\n35267 46406\n77591 98477\n36926 70200\n5917 14441\n22448 68992\n57620 82049\n1172 42026\n77769 84623\n15637 68517\n32852 55945\n28457 28610\n22830 77309\n29254 48641\n34296 73979\n19519 49786\n36984 73185\n30938 86346\n29953 89663\n4767 52976\n40724 42877\n27560 96743\n20859 24024\n41834 96151\n34982 72046\n675 40336\n93883 95753\n28056 60872\n16152 20449\n310 62313\n13858 99183\n70747 70757\n4269 98818\n28411 99769\n17996 20532\n30124 37609\n16970 83082\n34813 87458\n32074 75744\n2952 95723\n17615 65837\n13834 21822\n36755 93602\n74108 82159\n9548 57011\n28021 68996\n38184 55227\n13316 53813\n11680 57845\n46807 52825\n21193 44857\n15985 59019\n31628 53013\n55793 93676\n90404 93930\n34205 87655\n22942 64001\n48166 80148\n3246 77083\n3252 85741\n15477 83617\n937 60619\n66000 81569\n5479 12867\n33451 37621\n11228 55823\n9351 79338\n767 89942\n4305 96175\n41406 71199\n40187 42714\n56410 91886\n12795 67080\n9961 21380\n29640 61966\n13784 23900\n19613 55815\n78127 93445\n789 79182\n43128 48731\n81090 81188\n15615 25893\n26309 89565\n43409 93144\n63875 85439\n29008 94899\n73159 85215\n34106 98784\n29868 81741\n13771 40541\n3929 92989\n75847 85065\n64565 91890\n2338 62887\n20937 65270\n70694 96077\n35322 54203\n41497 69795\n34798 66254\n35432 93977\n21462 98289\n60995 68359\n77916 83489\n17864 77973\n44429 66803\n64778 80557\n45259 81832\n43225 66374\n746 58067\n25122 79197\n20000 26932\n45432 67727\n41563 85580\n22446 33892\n47955 83146\n13645 92294\n21367 94211\n74245 90451\n64994 94407\n17016 25693\n62350 91514\n9191 26915\n13103 46795\n35963 57693\n44061 65977\n22542 85232\n34553 70937\n8231 53473\n33270 56350\n36501 87429\n49155 76667\n6621 14599\n55940 99124\n64756 99718\n34386 46433\n40802 46198\n12945 55788\n33383 90763\n4442 29427\n2328 51208\n14181 50644\n33164 93199\n15191 71053\n25113 54749\n22111 50372\n1825 53692\n16878 83024\n22267 46216\n29789 47325\n9316 57008\n32116 84415\n66649 74141\n72005 82706\n4874 43082\n13723 52879\n60439 87284\n38004 87980\n67404 88286\n60195 68226\n25283 80447\n44791 87446\n29164 68642\n35060 47718\n64605 95476\n76051 99337\n22808 85568\n4426 18423\n70384 89422\n12129 90359\n25425 96562\n4560 29566\n65933 92088\n141 21835\n19705 34538\n1462 89584\n35068 75709\n73526 96813\n17886 61969\n56633 97049\n4425 87837\n13741 33799\n2977 25933\n16832 94654\n21673 63766\n17837 22749\n413 77827\n25560 71664\n338 70821\n25439 91809\n34115 73540\n36219 95130\n29469 89637\n42259 78851\n18763 41643\n42670 95908\n20137 88252\n63747 86686\n26745 37615\n14171 42355\n85689 97485\n36503 46854\n62151 94557\n1896 17473\n70790 96117\n20342 79280\n69342 71533\n11936 92637\n7112 54155\n41916 69466\n15905 68191\n22327 99690\n56784 97530\n8768 87657\n38150 48112\n8952 53563\n37949 85067\n12207 82496\n6641 65464\n10551 65927\n29610 56337\n6248 33183\n87878 89615\n21583 33609\n55387 71051\n18517 35569\n14288 18956\n13885 63982\n64491 85335\n30830 92109\n44194 64298\n7508 16157\n38627 78643\n3418 95616\n58879 71095\n59812 65149\n13392 24137\n98532 99010\n63540 95331\n49554 72658\n1001 7012\n37681 75696\n58712 90554\n48745 53342\n2512 65294\n5319 51262\n89413 92989\n47548 81433\n25889 86359\n21242 32931\n8039 73640\n683 88973\n26116 96330\n84100 98505\n39796 83055\n23294 31336\n49580 59489\n17903 31998\n14766 31958\n52874 88934\n4816 77379\n35447 37868\n11442 62923\n82841 91318\n24470 55435\n19797 37114\n46709 90821\n34992 46273\n62996 98969\n64444 75349\n78842 96491\n34648 41215\n61004 67777\n32872 66450\n32416 47424\n12011 54036\n54370 55618\n16678 64378\n61220 90001\n10335 34129\n4696 7024\n68541 75483\n46612 72963\n95350 96733\n15255 82601\n18626 93886\n68939 98222\n3724 34147\n32855 64714\n45321 85206\n24206 38466\n22599 75447\n27196 42036\n16109 17762\n8383 19952\n77387 82764\n692 78039\n25462 53736\n23196 86531\n29931 63531\n42716 53123\n9439 89561\n13348 61726\n62532 76914\n10120 71694\n6263 51644\n49509 79593\n44391 71562\n26092 55495\n17060 27121\n75068 87663\n45564 50656\n93839 96610\n29476 67378\n23348 31986\n43217 86063\n93962 95741\n76555 77220\n44233 72672\n48729 78364\n35962 56966\n32463 33463\n52850 73364\n11348 41274\n11129 35307\n70491 73186\n10833 11068\n19737 58398\n8694 75806\n38280 93054\n27226 49691\n73991 98122\n5635 35757\n18121 72281\n28396 97399\n52502 86606\n16575 90913\n39681 90246\n48493 58968\n28411 41500\n65484 73729\n68852 70308\n62932 81038\n38487 58851\n24982 92773\n42231 71410\n18691 34450\n28981 59192\n73144 97463\n10181 38819\n41903 99361\n34581 93990\n18863 91386\n3055 18510\n67594 81717\n28520 57909\n25540 91203\n4243 67050\n771 58323\n1033 91153\n39420 58134\n41126 45469\n10018 47721\n3107 71278\n31472 57922\n17974 42103\n4481 20875\n45111 92202\n28796 61341\n23602 33529\n39722 73041\n24197 42628\n6887 53451\n82689 89881\n58298 71152\n6599 15813\n17943 80597\n11162 29366\n12521 24631\n59386 97408\n24187 75777\n17187 63692\n7998 78246\n13648 86002\n32336 84044\n15828 33621\n25868 37746\n10867 80685\n60206 97537\n20828 93282\n39530 59368\n24040 26952\n8068 25247\n70723 92071\n30522 88856\n48620 49871\n17475 38795\n21211 56942\n43668 92778\n1957 23995\n41156 48881\n2552 62616\n45070 85523\n23901 82595\n1664 91451\n1306 73559\n24439 89640\n8089 33029\n67027 83752\n74139 91854\n21851 23343\n14243 99882\n7955 29651\n73711 96395\n59912 80387\n23376 53095\n16552 53531\n40347 88978\n2359 41322\n54804 79239\n44425 67974\n8902 89761\n11682 49946\n54875 58451\n11079 64306\n46145 71615\n6966 95278\n62468 69682\n39499 76374\n13599 58858\n20889 91956\n22493 81227\n40229 55414\n2769 7679\n24767 65089\n640 12239\n87513 98078\n273 61093\n45137 96315\n15967 19608\n15837 37687\n26394 77039\n38622 81535\n34162 55917\n35513 47769\n11794 64674\n49825 94711\n1698 9972\n2387 52851\n61083 78407\n8386 64131\n34256 55672\n24197 79033\n40885 46214\n21485 25685\n22623 84439\n15135 93757\n3548 32740\n14589 30547\n18571 93384\n32923 88474\n81267 82195\n466 65929\n58043 63377\n25156 44349\n43599 77352\n49466 56318\n59456 65883\n85046 89294\n17360 44068\n6370 16606\n40083 78042\n59986 63381\n54380 95932\n52368 66280\n14714 61425\n18594 31029\n23675 71442\n8383 56087\n9145 22943\n39704 90563\n61512 89783\n37941 38081\n41773 46541\n68308 97171\n35763 56786\n90874 98336\n12926 71755\n62323 88800\n20816 37703\n35817 60253\n84462 91684\n4993 74631\n19653 33264\n46771 91210\n34370 43130\n70704 75393\n48851 99721\n34360 42605\n77745 96898\n14578 85552\n33750 89542\n31325 48480\n36240 39370\n1931 36165\n10084 66608\n77719 99866\n67220 67679\n16499 50282\n1640 71570\n3031 60445\n9955 52195\n21397 25803\n53673 63164\n28700 58515\n27518 65216\n3793 89653\n61547 80964\n22628 58438\n54952 69106\n13583 63174\n36133 64823\n46312 76830\n26117 84879\n26103 49859\n31034 80310\n2804 70633\n7088 9159\n8369 76781\n45797 95601\n12030 60023\n5262 30858\n612 73729\n89243 94977\n26474 53898\n11965 98784\n7834 79260\n21129 27678\n36361 69947\n24717 48644\n52076 72158\n34952 64933\n18551 54529\n41601 95497\n32463 98929\n17054 95214\n13266 76659\n31246 75787\n28705 65958\n28901 69188\n15073 41388\n88617 90746\n26925 36767\n42160 74658\n42376 43790\n30735 31168\n9533 78038\n19931 93256\n5857 65461\n2610 26799\n48039 95812\n41245 82125\n21836 38167\n6615 15108\n40215 87659\n19239 48382\n23840 92340\n55632 99259\n40825 53018\n13190 33638\n48694 49512\n80440 88539\n12541 86761\n10755 40470\n408 1720\n15856 26136\n4341 91672\n39053 63091\n68145 94365\n56115 69296\n4461 74269\n44757 77199\n13771 30187\n60549 68534\n53582 72798\n17052 22447\n49451 77016\n7411 76907\n44183 51677\n26776 28798\n85351 85585\n3016 60333\n70923 72246\n506 88125\n44086 47552\n37211 68091\n22270 74163\n28053 74379\n30552 30828\n2627 76642\n4212 68794\n10723 14840\n21250 45080\n2500 97346\n39287 61906\n84364 87380\n27359 73179\n2997 16479\n1760 11049\n35516 75447\n43543 89629\n2108 38163\n67604 89661\n17405 77880\n69704 72215\n21362 88711\n62799 82119\n91940 92461\n38269 51998\n260 2664\n37721 39086\n18327 82185\n87280 87430\n21511 73872\n13263 27798\n40562 59396\n59402 75184\n33488 90551\n17426 23186\n65017 97847\n3493 78639\n30360 82653\n82210 91000\n8688 26745\n39014 74945\n33353 74977\n42157 44875\n3056 68555\n18241 98039\n59959 73296\n31109 81148\n47142 48055\n73688 93307\n8426 67781\n92248 99353\n58237 99486\n60309 64706\n19880 97834\n30465 97011\n29535 39019\n85199 99302\n3399 72944\n32763 35649\n18172 72173\n27665 86077\n22365 37246\n43157 68271\n25290 99096\n19512 49728\n15019 91983\n26765 70655\n23516 77598\n1535 60140\n32482 79872\n42196 74837\n77176 90463\n53314 61511\n40077 49340\n21494 29715\n61374 83432\n32421 44116\n30150 99371\n42029 63480\n63996 96754\n30999 51451\n23202 65769\n30189 43562\n15161 97556\n22718 90953\n41949 98328\n61481 84239\n43751 77887\n64769 74745\n59046 79016\n58694 97757\n1364 70441\n6504 12013\n22998 79954\n3479 89166\n86062 87151\n25416 25952\n34796 48578\n7644 77449\n12300 51809\n10118 87176\n87008 99456\n51574 63965\n45844 50377\n8481 29473\n7532 61542\n59688 70824\n19963 80446\n10808 27752\n50506 55481\n29609 76084\n23951 73251\n26913 70796\n7264 16199\n52551 69526\n51951 86095\n20092 42426\n27336 56781\n26938 66946\n10896 72925\n12441 78754\n6921 47232\n21201 94374\n13579 94506\n23133 77729\n60974 77532\n12949 45981\n15775 30056\n31469 45185\n19589 75624\n18622 73072\n32481 78723\n30518 57377\n62932 66325\n12749 93997\n27316 45328\n2720 50654\n6309 30132\n66831 74143\n61269 72622\n48153 79400\n2566 4053\n1392 54714\n38360 68100\n13856 48907\n57931 79334\n2450 42286\n350 7687\n19695 95397\n40277 89267\n45268 54988\n14776 32554\n61936 66214\n44934 64006\n26244 80847\n5942 41196\n11748 89498\n21116 82786\n10764 85497\n10332 78437\n7862 69933\n32634 50921\n37435 48045\n49893 76988\n39287 69309\n32978 94312\n22745 63174\n30161 92747\n52229 86707\n12776 55844\n64950 79750\n374 63030\n20875 35788\n53589 66154\n49485 80362\n14623 61394\n78785 80494\n44763 98938\n14069 83037\n12789 81087\n36447 99200\n90541 99511\n70016 88807\n41563 76821\n24838 92640\n19578 55264\n17318 76199\n54867 70801\n44507 98515\n43152 87060\n22046 95027\n23947 66530\n32266 57886\n25038 41093\n58969 77786\n61504 63675\n51258 54029\n38670 40595\n16258 99939\n23681 77282\n67720 80991\n1947 37443\n19761 86850\n9944 37811\n11566 59828\n27453 30703\n70 39517\n11604 34305\n47648 88308\n77828 86056\n33479 38086\n45779 96025\n2974 44392\n22921 69257\n7000 24328\n16384 96017\n66144 78040\n40923 59503\n62144 86187\n406 80995\n17494 35129\n29898 91560\n35851 48859\n12364 51839\n24650 43552\n35421 53005\n25803 91181\n54892 78048\n19806 63458\n2200 29181\n26996 32445\n2946 42050\n53609 85254\n30803 40309\n13570 73446\n9060 54838\n62295 82125\n20017 95422\n59092 96851\n82990 95486\n44651 50645\n56328 78101\n18068 61827\n42527 54982\n18983 72119\n96742 97605\n8472 31491\n71526 95018\n16664 54229\n75863 80386\n9877 90816\n4435 95848\n11976 17700\n70040 72806\n38862 60833\n4200 74742\n37552 76576\n55095 99947\n30063 46693\n62869 87857\n51704 78680\n27907 39528\n15043 24295\n18447 39973\n57064 74110\n34696 50356\n3982 38608\n57263 59693\n24327 79954\n68889 68987\n54884 74702\n14056 78554\n65488 85633\n11067 48994\n35178 60283\n15998 18122\n14562 24672\n15670 20688\n9023 63278\n40050 85087\n25505 57584\n18262 48699\n65057 69746\n71751 92845\n8358 11534\n19342 84794\n14708 71078\n55097 57138\n34151 68008\n44858 76882\n27038 56085\n27053 57622\n52525 96694\n76733 97494\n35089 91011\n24148 85893\n54432 80773\n28724 38127\n3575 6769\n40294 72269\n13963 19210\n4302 79296\n9722 39189\n5085 96506\n21699 72425\n38243 61257\n25896 47554\n35544 80541\n22281 47909\n10861 53062\n67165 75846\n15118 62186\n33391 93880\n40797 67136\n49941 70290\n3361 69699\n55471 56821\n25343 36252\n32159 43928\n30144 46627\n69132 95951\n1721 84033\n937 30333\n24081 45265\n32514 93431\n52805 79967\n27260 92338\n1750 87801\n63423 98102\n81692 89977\n92355 94327\n1915 70018\n34465 93972\n33122 82078\n18651 27515\n36774 88842\n6345 25957\n37871 99156\n17344 86537\n5352 10047\n24432 24747\n41265 97841\n3149 70648\n54408 75354\n39417 45996\n60141 72420\n256 94006\n17261 82828\n14455 97091\n26839 86721\n12449 56844\n56344 64043\n13005 94301\n68353 69472\n28145 72598\n33987 99947\n78613 80444\n59980 66771\n28744 79934\n52569 56192\n47430 60530\n23499 27133\n17791 32637\n13582 26332\n7845 34596\n67857 97917\n19261 89129\n5355 64472\n65170 99054\n53816 61707\n12019 41711\n17490 71130\n30468 56813\n26483 52077\n7193 47262\n6366 82319\n60097 95936\n1349 36802\n27779 70278\n29625 59538\n58444 80724\n12469 39018\n32492 66379\n40612 73151\n2861 71162\n19333 80272\n34331 71219\n41304 43569\n22163 69770\n34239 83603\n1168 5541\n41291 96238\n58746 89842\n52310 60204\n4590 75655\n16926 49629\n50022 85997\n32936 56621\n2754 61831\n67595 89990\n82627 96661\n47927 81576\n5261 41933\n87971 88997\n78726 91529\n4645 65233\n9478 43091\n8618 21101\n21770 22282\n51927 99767\n6874 30244\n94441 96588\n32702 91608\n41806 90529\n22827 69128\n4633 80844\n65172 79529\n29051 77605\n48721 77328\n18385 25201\n80861 89369\n1031 6652\n10746 45516\n22809 75323\n25549 38978\n44532 51215\n9200 22575\n25082 93692\n54165 88498\n43682 57372\n13793 62587\n6570 62535\n6484 12726\n422 3086\n56560 91009\n5393 54720\n42152 47482\n12483 99296\n12054 45664\n24873 92028\n38604 66403\n17145 28119\n36768 97144\n31716 96111\n19941 30256\n7816 15436\n24654 44258\n34467 82098\n30207 90900\n38015 62903\n63937 68028\n2316 49263\n8611 13556\n10874 25454\n23531 48815\n123 63405\n22931 83849\n5591 81756\n35918 78858\n35308 39814\n19786 36538\n27436 82524\n9544 24688\n22790 81140\n62817 92711\n54596 73933\n25048 79665\n81095 93630\n27251 34903\n67021 98255\n5818 9110\n26101 99536\n27744 47070\n6058 27364\n68958 76538\n3613 73599\n32071 76021\n66903 96184\n1367 87706\n8940 22598\n3168 44872\n58635 62008\n12209 28223\n40981 99806\n49091 83361\n31752 87574\n41547 72803\n28271 94557\n7056 12761\n22082 45678\n67225 88481\n45363 92981\n8069 99035\n2735 84619\n8759 88264\n10712 54952\n13533 21940\n50619 70457\n4888 49741\n68390 87038\n30610 81126\n54911 68910\n1446 48647\n58399 75074\n36829 60683\n40676 95075\n53393 61005\n32994 78864\n4834 61189\n2653 95478\n39248 65818\n53242 65634\n56458 61657\n75765 83153\n9679 21939\n36062 39769\n12684 30489\n28982 50709\n52653 65777\n15820 67192\n4986 40999\n6902 63032\n4177 81468\n25560 58629\n862 99913\n88324 96189\n73331 81946\n22909 84784\n39976 79370\n8776 47001\n33014 56280\n58300 77036\n19789 78603\n5976 86986\n55812 61595\n20817 47165\n15187 52692\n1831 91646\n3352 81357\n37518 89498\n11828 17049\n36830 63778\n66711 80600\n35510 80529\n31161 36911\n21532 61175\n18314 69788\n56287 76323\n25275 95824\n48811 75896\n13536 22097\n21692 67252\n12160 47080\n39364 97438\n13595 38551\n37729 44776\n40178 85597\n48178 78625\n37652 97254\n23720 64035\n11647 18218\n35085 62068\n67972 76262\n3999 6560\n48736 76480\n21528 66428\n46119 70540\n37013 79191\n63106 97184\n25650 59793\n49849 78170\n56140 62274\n55547 92531\n28427 86998\n47625 72113\n63995 64922\n53903 74055\n4368 60536\n15323 87517\n14388 38754\n2845 99002\n8722 71880\n17588 74645\n55377 61023\n63048 67027\n4458 35660\n76560 77907\n48659 72675\n90291 94385\n63178 96570\n5842 42934\n35621 58372\n59858 77434\n57188 73948\n30101 58381\n11013 64562\n14800 94185\n38064 66893\n21357 97009\n21375 85847\n17953 71545\n33657 36398\n33409 84751\n19819 90892\n72827 92947\n273 91487\n66617 89745\n22514 30019\n61955 90577\n47264 62845\n18081 62753\n33016 42227\n26672 91810\n13931 47406\n35849 50697\n33872 63056\n74282 93539\n5118 8973\n73548 96140\n10860 75923\n53384 79221\n58325 70589\n56323 75159\n67520 99125\n30044 59564\n63197 82112\n646 46244\n52412 92037\n38805 93978\n38918 66825\n61048 61554\n76506 80052\n81878 98487\n60876 61612\n41305 56826\n58791 94483\n56987 91911\n28216 86704\n45239 91921\n43414 66250\n73079 92965\n29391 57302\n14668 47107\n8407 17942\n3828 30337\n60365 77493\n84330 98966\n24935 37506\n88932 94813\n53345 95968\n13902 88143\n19096 48264\n22585 71735\n15265 57629\n53908 54460\n39838 86395\n66305 83862\n71796 75603\n3619 97666\n53949 83403\n43169 95962\n75371 90776\n6338 84581\n88915 96983\n41198 77074\n31726 87999\n56176 94566\n32347 60575\n80632 81046\n36858 68474\n16577 56185\n66996 93576\n11174 78005\n4505 54904\n66572 84392\n20434 79413\n81408 93890\n77872 87322\n33768 85880\n43013 43921\n58777 92200\n39665 86888\n7816 35021\n5777 59259\n17589 53903\n27194 96654\n32748 40151\n27063 56579\n38488 39221\n8609 67177\n45133 60403\n12889 50147\n3826 52677\n38778 83797\n16239 69995\n130 2998\n45038 57815\n86954 98940\n15796 49226\n90071 92486\n4831 70005\n21483 95141\n48758 62121\n31814 96200\n11196 29129\n59174 67457\n10965 99713\n72261 86171\n47079 76317\n39697 80997\n71384 74532\n55773 66516\n28058 86547\n23864 98343\n22057 50411\n12754 45443\n19171 61629\n21029 83168\n4240 62378\n27937 80310\n37072 69765\n58691 62339\n37117 56310\n7901 24190\n35797 48234\n21549 69476\n41909 48394\n40644 47179\n12324 59074\n24407 52346\n19137 87202\n43281 45332\n35462 77822\n41685 48844\n58706 80165\n66580 73838\n17614 48527\n13451 74804\n31162 50887\n42229 89152\n45039 62156\n9699 80647\n13797 57174\n38371 73103\n8227 33577\n3457 95746\n623 40471\n23848 63453\n27264 67734\n55923 82417\n51199 68196\n70245 94210\n37962 91736\n35769 58040\n10684 19797\n22278 47477\n20735 64098\n6488 56260\n7337 73375\n46876 90610\n15139 69227\n71933 73522\n62799 73621\n41393 80323\n27663 40769\n6069 49363\n1993 34991\n37529 96004\n1373 90590\n62562 84621\n22222 82775\n36950 38549\n34992 54432\n28039 69595\n38185 93752\n15577 68094\n11897 12384\n2214 40528\n6029 68858\n28454 76794\n22418 86466\n57310 63094\n77280 94431\n15657 79011\n15361 82142\n63200 77581\n6302 87368\n79131 84215\n7934 87301\n4011 19858\n16711 48231\n1991 79763\n32353 90624\n41057 48296\n52492 61399\n25874 67797\n16267 31849\n39707 65522\n3832 37127\n1901 86466\n28577 69890\n298 51548\n49290 67504\n6900 68711\n21445 63402\n35916 90118\n44324 62782\n22118 92512\n85196 99507\n16058 66751\n10287 83465\n53334 63471\n74615 88642\n13508 59834\n30899 88610\n11092 12023\n65709 76266\n81049 98368\n28163 86093\n17426 67222\n5876 8327\n20671 60762\n1280 24517\n38906 50569\n17915 25020\n61459 75104\n28957 68533\n68134 77767\n804 13155\n57210 93442\n53879 84943\n66482 95328\n24622 94541\n29039 92680\n78266 97356\n134 63553\n24537 81603\n33860 71039\n3202 65603\n48151 94137\n87918 95762\n44839 47951\n19788 30325\n38281 83150\n6688 79986\n13206 74381\n40879 53198\n45952 72814\n5722 71171\n26791 71833\n74605 75663\n20114 54500\n22786 91842\n75208 92272\n30266 44473\n24040 86301\n51661 63651\n5259 24073\n131 45939\n30692 38362\n66734 93729\n46916 91792\n60099 65179\n17687 50282\n57865 84419\n85613 97099\n18866 61346\n11644 96042\n38184 47798\n29085 89698\n69675 83832\n42957 83792\n11997 14799\n4619 26261\n66203 87273\n81332 88712\n38831 96560\n7731 50859\n82522 96271\n84057 95978\n1921 39592\n6268 93180\n14859 67851\n24928 88712\n6344 35856\n22306 41427\n12004 43676\n42829 63593\n37084 63160\n71484 75052\n30304 83915\n18934 36160\n66935 98531\n17381 81270\n20807 24030\n42582 77184\n69158 70927\n57911 86158\n17886 60696\n5193 29711\n18775 65229\n39879 75052\n23706 98525\n17722 19122\n4594 71747\n63758 95991\n53616 82968\n22477 69110\n31114 31987\n21781 94743\n44617 63237\n20228 45638\n64282 86411\n32748 92302\n9709 73918\n31953 85554\n15119 20187\n51391 98028\n9972 96981\n2282 11702\n12215 31369\n19245 92215\n843 62937\n36142 41829\n15079 86308\n61060 66097\n19926 87074\n55592 97103\n52506 92475\n67650 98941\n1219 60932\n9049 33651\n60641 80966\n67293 72428\n46521 53239\n12236 45912\n13863 26873\n74271 77756\n30970 59464\n7265 46354\n2656 66292\n41866 86142\n13075 41354\n25763 67854\n57752 95237\n10740 68249\n86887 99517\n32159 75027\n71118 95910\n42721 94117\n49234 99503\n17402 18625\n69329 96821\n68614 74383\n42856 72699\n64148 83664\n3187 30609\n23133 86529\n40371 89229\n77832 80921\n64481 94456\n9569 99898\n9237 72918\n30097 53652\n5605 85662\n5347 87214\n21171 39816\n44115 63216\n44704 64283\n29272 86731\n14429 76418\n12633 42380\n54730 94473\n20464 51211\n42450 69118\n40542 77603\n22976 81736\n81211 82082\n22016 96535\n627 88513\n41445 93002\n18100 63651\n28466 58600\n56794 96086\n46302 80035\n23069 44531\n135 1582\n42565 96369\n4143 41275\n698 55679\n30657 55084\n14670 92434\n19979 81134\n27392 62297\n30544 62755\n10061 39650\n68369 76132\n56155 83915\n49794 77720\n7817 57407\n27000 60950\n32126 96203\n70053 75393\n63917 92474\n83771 92604\n79570 94262\n77387 84825\n37129 75848\n8152 55440\n20354 59051\n48564 63110\n17712 88774\n2601 77902\n51917 85551\n24950 75225\n34541 48032\n19549 60141\n22698 96404\n63046 66411\n33169 37676\n34489 68861\n41864 87755\n16426 47302\n20528 91747\n11595 46328\n25616 62901\n72269 99115\n22493 91727\n36799 85592\n65659 91297\n61466 64878\n1544 90478\n27220 66724\n1074 75098\n83485 90204\n29203 81566\n50797 88711\n17836 72573\n56041 64426\n61866 93944\n23045 75617\n9957 18290\n40092 99612\n29102 78697\n18572 57610\n6649 88338\n6746 37938\n27636 29091\n10152 74409\n53049 63391\n82042 94069\n69906 79012\n34900 71666\n6175 48533\n92230 94713\n57360 66792\n13956 55257\n26508 67007\n48268 64479\n13104 82502\n472 4828\n20523 31911\n45039 83865\n30487 34719\n59464 98659\n25303 84491\n16540 31195\n28821 49844\n64428 64555\n43705 60504\n35958 72125\n53735 62759\n63567 65017\n29178 95558\n21176 45352\n30951 46050\n43201 48012\n401 6914\n8778 85007\n82958 86189\n28191 32540\n10247 37238\n192 14006\n72385 91464\n25643 61146\n29021 29025\n51191 95986\n5789 61847\n46272 59402\n34320 71071\n22941 87445\n4101 91596\n52909 58511\n41305 71927\n38688 95225\n70773 86749\n69560 94375\n34222 55115\n42863 55962\n97593 99049\n38621 55557\n46287 82900\n33311 94011\n20576 88393\n1600 60708\n7368 93215\n70033 72551\n37210 89039\n18778 83640\n56710 71259\n53986 70187\n24834 65029\n31577 75143\n87367 98126\n44774 94458\n40737 46593\n72935 76186\n1258 16999\n1818 29111\n16436 74972\n42703 79613\n34579 70680\n13706 63803\n13248 84726\n48982 93736\n30059 84534\n28343 72339\n26617 89263\n59538 89343\n35772 41499\n28817 70642\n34511 55413\n8372 17304\n93 36080\n70518 89067\n40737 80589\n30470 39790\n29580 71181\n57144 84637\n1538 70335\n54731 64955\n3075 79479\n63207 79058\n9052 21472\n43338 88775\n15872 48273\n27972 57384\n32821 45566\n39134 60338\n32878 84751\n12508 62811\n28304 33055\n2331 4292\n31703 86636\n1173 43137\n33693 60437\n5512 26073\n95310 97579\n49102 98619\n34806 62445\n50174 51652\n18138 76067\n21208 97236\n30912 81246\n46627 59554\n37263 54010\n19121 39022\n55381 55655\n36713 98641\n15400 87411\n13606 33551\n8492 28966\n22665 57111\n25505 60192\n20990 60636\n70768 81985\n55691 86982\n42738 84150\n36588 49578\n30738 83094\n19440 25176\n33780 87422\n23870 42664\n2648 36829\n73210 94512\n18184 56925\n80456 81065\n20126 49627\n39722 70763\n48296 71892\n7255 80845\n43182 69824\n344 9737\n13109 30314\n30775 70399\n54544 77526\n25695 94404\n53938 73138\n19147 85745\n26498 76571\n14185 21994\n13818 79988\n72105 78272\n10829 96820\n19500 41250\n33527 35591\n55956 87061\n44850 90328\n8761 32555\n944 45360\n74675 77531\n62745 67207\n69437 96930\n54646 81459\n18803 63036\n76442 93964\n31359 51314\n21898 42213\n332 61908\n45095 46386\n79476 84908\n58218 81283\n22514 25749\n8759 58188\n28135 71685\n13414 38907\n53496 64488\n26735 30168\n66875 67959\n59582 60063\n8017 93575\n11942 61695\n10008 37842\n23395 98273\n31520 60638\n82434 85634\n52618 87292\n68082 69932\n10226 46935\n26224 86175\n39752 90726\n840 14050\n48931 51070\n37756 55145\n25729 32733\n7753 26386\n44767 53648\n68836 76993\n86023 86598\n203 49130\n22978 31852\n14492 37866\n74358 99246\n85604 89901\n38038 91117\n52936 57724\n7228 30324\n32314 34704\n21817 29942\n44444 98937\n54688 83445\n43659 90486\n23772 37638\n5431 17074\n29953 79058\n32648 65753\n1718 16474\n21306 75602\n62531 75090\n29808 52498\n2058 36944\n78720 99265\n54064 57327\n15986 89438\n32861 48132\n26342 72922\n41098 83400\n77474 78459\n955 31620\n58320 85199\n34550 45031\n4360 86345\n43070 46689\n7134 46809\n35627 98676\n60282 99334\n30383 61085\n4226 25094\n43486 99056\n36961 52294\n27491 79326\n28188 95142\n32761 87286\n36868 99540\n19433 54341\n67994 69694\n16714 95942\n56446 99281\n36478 47102\n20207 59716\n56949 93607\n25482 96090\n17868 35192\n34259 91940\n10435 39211\n13835 42611\n28059 66957\n39941 69968\n65743 67862\n46496 99096\n22896 96561\n32177 39012\n62780 77528\n26124 79129\n30272 36205\n17155 65349\n52070 73428\n45090 64630\n34207 52541\n67770 89117\n47612 51744\n55871 84888\n55359 90166\n31117 32300\n18189 69145\n49075 95607\n52952 98380\n16058 37888\n1802 41379\n36267 60694\n12127 29763\n1314 41086\n26147 68240\n2250 26838\n8185 59987\n2047 3834\n71256 73842\n20324 78750\n15753 91562\n68675 91666\n2385 27004\n6788 45704\n23263 49139\n29230 48968\n89960 96627\n42904 47219\n10190 17159\n29724 85712\n36293 80242\n9214 14168\n34104 78002\n37594 95034\n55821 94393\n82014 91392\n32179 77949\n11695 18478\n55846 57221\n3711 71919\n10003 29801\n48127 53674\n17105 54945\n49192 83725\n53015 59783\n3752 82751\n14525 81023\n65815 97689\n27664 94165\n29506 35532\n19293 30345\n13843 73787\n12812 79683\n55503 56960\n69712 81010\n12280 47255\n50460 61718\n20044 56775\n27012 46294\n29239 50379\n27976 82959\n62826 98209\n9378 69227\n69994 85600\n2343 55901\n20603 99038\n464 62118\n2849 43079\n19652 83685\n54127 87339\n57391 80357\n1439 61542\n1790 52847\n198 96032\n9821 69878\n41327 62356\n27467 58335\n15831 48770\n8285 69539\n3052 62370\n22103 94650\n67474 68286\n67624 72959\n2489 84984\n27836 86915\n20586 27842\n11906 94590\n48395 81080\n13371 83480\n22520 44257\n16259 40025\n29826 33856\n40000 70740\n6022 74515\n94680 97463\n11318 67785\n55619 63406\n44926 65693\n14881 17565\n25455 70618\n81752 90914\n65339 91232\n19511 98875\n74301 80129\n29042 75316\n63469 88953\n43057 51688\n30993 35575\n45635 86199\n9742 34421\n14414 18085\n201 56161\n65068 83431\n3749 92872\n13786 26450\n15582 40152\n69186 86783\n7075 69125\n30295 98910\n54562 80081\n84975 93381\n11682 51391\n55346 82453\n51918 52432\n1551 70457\n18471 19090\n60295 75676\n5728 85727\n37267 48611\n27200 47695\n70625 98782\n33347 84381\n16995 59178\n46803 86865\n7875 46223\n47317 49007\n60009 60836\n5810 12619\n50470 58659\n24251 93475\n15588 81791\n5008 41953\n47146 69288\n6709 28589\n61636 72421\n8269 25808\n17433 26340\n23746 46761\n41812 44476\n54559 89530\n11180 44472\n8105 22044\n52194 98568\n27210 88522\n298 74708\n19387 81874\n1805 92555\n79856 84004\n26950 37135\n29189 30815\n10147 31200\n13771 46268\n3313 82170\n48931 71886\n19067 80641\n24334 64333\n60759 86117\n23347 75172\n11927 49966\n7164 30769\n20127 30181\n49036 90141\n2383 71408\n1295 9720\n5375 46997\n8148 82494\n35867 63209\n53008 75653\n29369 82766\n30260 49601\n43347 85804\n73302 83153\n8088 14139\n11561 15434\n37255 77852\n63525 88065\n38409 71939\n17707 91353\n20635 40879\n12950 83584\n55307 78103\n12695 22827\n23447 83638\n35366 35403\n53130 91421\n50510 78855\n18180 39459\n43815 47385\n11645 36944\n8862 91891\n78331 79154\n9989 77664\n43994 85566\n21128 47531\n45024 56498\n42785 98700\n42383 84054\n42052 49357\n65691 73368\n19101 53802\n8900 36829\n8525 62936\n10630 51396\n19164 44080\n20064 31226\n78915 81742\n7914 67555\n10878 39539\n67605 80588\n55610 96151\n66360 81476\n13482 86008\n38596 55878\n17721 36317\n62432 70606\n2158 88029\n64666 81266\n49405 60680\n19577 78924\n29997 86264\n81514 91971\n31343 64525\n10946 52318\n2946 93141\n23432 24070\n49634 68667\n3450 29831\n45842 91130\n33699 49919\n45310 63048\n36822 90249\n23606 98892\n15943 80695\n6517 50014\n66076 74147\n25885 26992\n53 26203\n32270 53325\n68849 95820\n18476 70357\n53515 60786\n25267 72813\n15262 89763\n9023 95095\n49402 84882\n59430 60792\n65590 86652\n57424 95041\n34847 74316\n46997 99144\n24972 98023\n85476 93405\n21178 77299\n12435 99456\n17717 97130\n71946 91168\n25902 40653\n7230 35396\n27839 43377\n38368 66561\n15320 30875\n27433 45624\n74860 85121\n3381 80057\n33095 57937\n25598 65229\n11406 69816\n13918 83990\n63098 71238\n1512 2320\n20304 53400\n87074 95868\n3584 39386\n6990 36887\n14077 29693\n1946 80844\n23677 84902\n20025 20169\n45767 99387\n92918 99958\n33395 41139\n16195 93475\n63662 89993\n81550 86976\n46429 55745\n52686 97664\n39261 62182\n74 13459\n15416 56011\n753 76194\n10470 81224\n39091 54948\n41696 63382\n8632 14218\n68371 89420\n15531 79720\n36996 48450\n22393 57271\n15886 37991\n39350 48024\n55250 57786\n22373 90443\n49451 72159\n70447 83800\n8177 96207\n50368 82879\n10144 72363\n61464 85343\n8416 54882\n44218 59383\n4640 11367\n10212 99633\n24504 93707\n35725 88459\n32124 65690\n41922 62025\n50079 64080\n71873 90659\n19388 39753\n14520 76592\n44815 80139\n622 3062\n29211 37192\n78720 81115\n52242 64040\n10586 27162\n21633 34147\n19339 98339\n3633 11289\n15527 48458\n48538 54962\n36967 83985\n56874 78060\n24477 61401\n7969 95359\n15697 66444\n39496 50364\n47948 58730\n30242 64049\n19977 53289\n12154 34560\n49460 60779\n41642 72069\n49609 70723\n19095 24588\n3753 66098\n55415 76617\n16459 16908\n85362 88516\n58242 79437\n45246 64139\n10392 13595\n30373 96340\n62171 69899\n79813 84033\n62196 86237\n24511 26022\n32468 86614\n3090 50052\n65104 77531\n4098 46341\n27080 97622\n31186 78795\n5193 21461\n81247 87717\n51960 99305\n70330 92647\n25319 78987\n30095 30680\n22547 65863\n8039 74012\n34213 71846\n30363 66665\n61982 84561\n21651 48603\n28447 71284\n88061 99571\n29418 91677\n32690 49884\n7537 71961\n64598 88096\n19867 51312\n39271 93051\n24359 82470\n43186 62635\n20180 38423\n63399 86589\n20029 44483\n22932 27843\n850 25096\n21616 45523\n9226 89603\n18637 70662\n3657 26751\n44276 84055\n35298 49894\n24396 44730\n76025 88567\n4381 37635\n70695 92683\n4104 43468\n15633 71342\n10767 13823\n46259 60645\n5221 62374\n32623 53765\n1841 87304\n16463 77355\n41591 62074\n86594 92790\n15356 40778\n19458 54323\n36052 69737\n52444 97877\n55621 91492\n14224 88299\n97389 99862\n14331 86869\n74800 82966\n25851 65841\n10540 64155\n13599 94463\n43358 54667\n63968 87794\n58783 69412\n13913 36739\n89770 97551\n56437 59986\n19617 20475\n32503 74183\n25807 75018\n87280 97231\n12746 29041\n51663 76502\n20139 28279\n30456 86575\n83836 87932\n35729 49644\n5579 53756\n46355 62481\n56908 90254\n24518 27603\n34677 35308\n25256 63454\n83062 96161\n48882 71387\n3342 16186\n57425 88179\n67532 93336\n27432 34110\n56818 86628\n15500 40047\n71626 87159\n32777 51089\n43646 45427\n19836 91416\n6101 8398\n11140 69109\n47815 62288\n65441 67494\n22094 50724\n61175 87135\n2569 43136\n12003 75819\n34690 72277\n37382 73900\n28246 61707\n4555 33851\n50105 89059\n44009 60658\n12678 79532\n2564 60405\n22146 93260\n29230 51476\n41971 57094\n51033 88495\n84837 91448\n37891 86604\n51031 79310\n4231 42075\n19347 21662\n33053 47455\n36 39296\n25871 95488\n68866 86343\n18916 57802\n744 32604\n8252 34969\n21199 73050\n9933 67174\n87921 97290\n29869 48585\n21063 80262\n3379 66511\n16953 27311\n1659 44740\n62555 77142\n19776 94979\n28131 49703\n23656 84272\n49088 88049\n21616 84948\n1896 95017\n35368 41140\n34405 49358\n75049 88043\n43964 65745\n44021 48387\n13789 17609\n20448 88807\n49666 79002\n7771 88330\n25192 37974\n10482 91364\n17401 62725\n63436 87194\n74025 95893\n81858 87046\n34870 74574\n22217 68652\n14932 58242\n15840 87523\n74267 84016\n55167 63204\n13066 22402\n63118 65311\n80870 92779\n42481 52307\n4469 42541\n66015 85350\n14065 50980\n50507 90037\n70060 84206\n15981 75760\n42282 48488\n1230 66003\n46295 84037\n1960 71523\n14531 59735\n48378 82072\n33547 65744\n93922 98078\n20396 39132\n25409 78032\n40167 66211\n67765 87242\n36224 50393\n6833 35774\n70432 74346\n76151 87857\n35293 54781\n13585 42481\n7715 90822\n501 52152\n8328 61577\n22941 39584\n81614 84267\n998 2588\n89329 98933\n45835 48086\n45005 66707\n54412 69861\n11017 35775\n50376 62208\n26987 52676\n36985 47648\n86410 95795\n60722 97818\n33946 61863\n71097 76121\n29558 54408\n32224 86118\n12170 13412\n3806 76258\n67242 93710\n4740 37960\n41743 54791\n5672 23061\n8013 50417\n11500 60035\n85053 96847\n1562 92281\n80181 89699\n8250 81557\n47279 81030\n55334 58860\n53648 57732\n2987 34892\n9931 63148\n6528 86485\n59734 61634\n7977 76582\n22668 80654\n38715 66142\n233 48909\n48847 94592\n13050 99918\n30210 58290\n30796 92828\n5208 13600\n23298 56711\n4357 71613\n8571 66136\n8936 89594\n51835 98901\n2531 88170\n62660 62772\n32130 43655\n4371 94505\n72729 88080\n35168 57322\n25978 29754\n91955 97369\n11366 78062\n35250 36021\n32562 93292\n15066 35692\n50444 58986\n24299 31324\n35762 85554\n42699 53006\n52744 89992\n2050 85410\n56409 60109\n31197 56026\n7402 18826\n32213 76749\n27835 69000\n7647 61997\n53333 90672\n6368 16363\n25813 48618\n31352 81559\n376 81168\n10317 86632\n54669 99216\n43056 68095\n6272 31576\n30153 66484\n5693 94153\n79171 80269\n3465 90107\n48626 70915\n3603 86434\n39268 75161\n60750 68119\n33722 35321\n66580 73561\n81031 87629\n85586 86623\n45243 95481\n40898 47860\n74921 95944\n29090 44655\n12842 65278\n10290 26855\n35261 47413\n56159 78036\n26182 63164\n46112 54224\n33457 98249\n14857 81000\n15678 17381\n9764 30666\n27513 94525\n59782 88998\n11983 59973\n59020 85260\n41821 86068\n9571 61934\n12885 30885\n4577 31915\n41175 96931\n21148 36085\n52227 89614\n74451 92292\n31457 61946\n92815 94561\n77256 82015\n28558 84026\n21067 92341\n10006 18196\n1631 62274\n6020 10202\n39499 52041\n24684 64557\n62039 83001\n20497 94465\n90852 95256\n14529 84301\n4993 39254\n58488 65181\n27257 42185\n62645 83351\n10500 32501\n22697 63012\n7938 44878\n2918 25598\n4991 67710\n34881 86553\n27172 40970\n29877 85191\n36593 90497\n24699 72449\n29606 57546\n37619 54649\n31257 52403\n50625 73832\n18155 73028\n53003 65324\n34341 57531\n34415 92563\n14014 24366\n48327 62413\n12169 41873\n14533 47401\n54527 72270\n15827 69517\n4216 63078\n9341 85117\n70620 95626\n67046 93588\n78392 82435\n2538 84671\n728 68675\n25027 27213\n29754 68843\n24474 97963\n25526 30490\n7502 69304\n6809 20037\n13926 51875\n45360 70540\n31751 68598\n1470 61480\n52395 76303\n26849 48349\n5466 33910\n22074 61730\n75433 78245\n51244 60565\n18181 52923\n13892 94274\n56934 93260\n60761 70948\n34608 98609\n14680 40681\n77053 97455\n12852 81489\n23606 56637\n36677 42794\n13565 65851\n47201 53091\n46998 70180\n61344 72460\n188 6817\n82241 93361\n56798 96294\n5286 65107\n3985 42251\n11052 52306\n66829 93481\n19699 74164\n87178 89751\n40570 79112\n9314 31323\n46325 56205\n54618 62473\n67174 93856\n61206 72700\n81577 93611\n21418 90944\n28928 29984\n26178 49487\n43162 96443\n26686 80169\n16595 89665\n54150 91211\n4900 33459\n28088 70804\n21909 59206\n23136 61064\n24717 42961\n9794 18405\n38686 76092\n674 92579\n14391 36522\n24127 58174\n32935 86959\n12746 83816\n20623 21889\n44867 70955\n5727 21187\n11954 58071\n40169 51881\n5048 98913\n5193 98077\n45604 82368\n29884 74413\n2464 20585\n83 49295\n31569 34619\n30337 90947\n74524 84424\n40104 51176\n77793 90344\n43092 43604\n69450 89308\n57889 65315\n8397 54907\n24500 78796\n42547 51391\n67099 69578\n11340 22368\n29643 89101\n38208 52115\n56352 89826\n20662 99058\n42361 61436\n16784 54763\n30520 56212\n83700 87852\n34953 85429\n12141 20230\n47244 65713\n9970 88220\n73890 85262\n21585 92015\n2157 51848\n50025 64820\n40993 74578\n28887 96275\n17900 64118\n61650 84136\n10978 44132\n48101 67841\n58681 82172\n69952 82944\n1126 32282\n43134 61639\n75956 90204\n39684 87747\n3136 91349\n55251 80661\n41164 49884\n33770 99424\n32303 34783\n59019 70536\n26202 72944\n4165 42362\n1561 39458\n3865 11263\n5076 56944\n79571 84501\n69265 92418\n42749 74770\n59753 75908\n62743 75196\n9288 82404\n30975 39990\n43849 77110\n57779 64991\n34076 88238\n22361 73082\n34586 55184\n8160 40500\n12778 50976\n7708 90690\n188 61756\n27541 49883\n48854 98966\n49109 84737\n53276 67335\n22051 33608\n2606 44967\n45055 67394\n8502 94968\n58668 74805\n60618 88136\n122 29155\n77304 99703\n37738 71295\n58032 79137\n49869 62744\n42554 48217\n54461 89267\n93151 94344\n3919 97491\n25725 93783\n25118 68950\n5600 10630\n7532 28372\n13714 15333\n15965 74056\n30647 63084\n30119 49385\n65606 86644\n65742 69542\n13117 28444\n5477 32349\n17347 53619\n11092 30825\n162 7527\n8396 96287\n36301 54641\n12108 62787\n90087 91915\n55715 70106\n39230 63710\n19101 56670\n8202 39451\n38612 77817\n20678 84553\n16475 62421\n44184 62141\n13764 44369\n30235 93264\n64671 88835\n29060 77258\n17153 31926\n6684 11273\n15108 53778\n73487 91863\n38627 96371\n30505 73732\n24083 57846\n12009 38668\n49377 77921\n8118 38005\n257 1235\n19301 63075\n91153 96084\n4845 13376\n25501 95286\n28502 72568\n39618 48161\n22993 60618\n58804 83036\n30854 46086\n56420 99103\n7650 8863\n3322 71454\n56216 97123\n61869 96752\n13993 22007\n14189 28329\n26136 47835\n29394 47093\n16830 87067\n19525 81259\n15745 82167\n20147 66928\n40313 46554\n24943 32827\n3810 40956\n9550 26814\n3651 43964\n69903 71692\n30276 56743\n18872 31030\n58502 86233\n45904 81058\n72467 77395\n50594 90279\n85785 98073\n18706 66830\n62869 75854\n13965 61129\n11882 32918\n71745 77194\n41449 48031\n786 81506\n57014 77233\n51829 55562\n20851 76242\n59668 70654\n43141 75480\n2686 38072\n13220 81098\n40419 81058\n36628 51742\n35374 39012\n56717 70863\n12297 17586\n32990 81518\n14781 59812\n53312 59839\n26614 85781\n60331 88869\n48809 55376\n8078 95317\n54050 65939\n9628 29626\n23191 28060\n55383 62197\n27510 67991\n57585 62548\n45098 50921\n2639 75450\n22867 62198\n60242 94188\n37099 60583\n8072 18637\n28965 44175\n27094 55494\n3390 16007\n24607 79385\n24931 70465\n7805 14046\n59688 76865\n78032 97047\n24872 27987\n26321 65267\n42769 54249\n68565 83061\n33755 98739\n24421 27277\n18072 24285\n22522 51112\n67605 69457\n8439 50857\n27243 53949\n87396 88801\n22862 90455\n88935 94579\n22078 59619\n53126 95834\n10995 47899\n80714 81730\n7355 37063\n36264 41728\n70399 91650\n60143 86290\n30757 63751\n11873 82237\n81568 86968\n55144 97092\n43084 45466\n15773 88902\n19402 52942\n12215 99355\n47339 97197\n31949 32141\n49749 54167\n2804 28597\n25165 89093\n10443 59004\n29659 43342\n6689 87298\n47204 60533\n52519 95888\n31672 99305\n25903 81726\n51215 85624\n19348 23887\n25826 34661\n5172 42447\n27621 60626\n56099 67817\n11405 41517\n18650 34532\n3623 75927\n90540 94230\n25728 29958\n58066 86492\n29124 84329\n43876 44071\n3643 15757\n330 27917\n10345 12922\n31342 71430\n15630 48069\n12074 61423\n49666 81828\n9497 22267\n31341 56262\n19214 76297\n42440 92763\n2793 16531\n52712 77709\n1516 7072\n54848 75040\n31710 48816\n6034 73700\n23827 98184\n63207 68725\n44417 53232\n27787 56476\n7406 99784\n76054 83689\n19257 98837\n4991 98256\n37388 48182\n47464 64982\n31035 62439\n14426 16473\n21436 25255\n35097 90638\n20425 37166\n5588 21624\n21554 89478\n35434 77967\n45890 74249\n51931 52486\n27418 39379\n10037 82396\n75441 88158\n47844 70291\n16763 99083\n13689 67764\n39945 96044\n50423 86470\n42548 55460\n38518 71581\n69747 91630\n43941 67350\n57101 58436\n61157 99683\n51550 82574\n69226 74383\n6724 60606\n16269 26259\n17139 64601\n23218 39991\n34437 99570\n14953 63387\n33593 94764\n3964 93030\n19417 45389\n2196 58583\n12446 66018\n24954 48514\n29070 83512\n7618 39310\n20656 69392\n40917 53053\n65199 72005\n62055 69475\n5417 39265\n65238 95612\n14578 56024\n12898 59224\n60684 81259\n13433 78571\n42843 57625\n30730 84806\n44504 93212\n11670 73142\n36769 79523\n45620 81369\n10170 18123\n41718 60698\n9885 43363\n58894 64707\n67910 85302\n32033 95087\n1526 58905\n65285 89870\n58294 93622\n31362 49001\n31006 88067\n5581 56362\n42736 87608\n64093 94789\n63807 86952\n57013 65775\n69959 95196\n27534 45465\n50214 80383\n24965 75580\n64268 75083\n22022 61169\n74694 74722\n49016 82708\n10062 63626\n28000 91333\n24576 32623\n53494 85156\n44752 85938\n55320 66499\n6800 55404\n69133 77265\n52982 59176\n31188 84521\n46601 70980\n6081 69439\n45296 48066\n43406 89242\n36624 52635\n71969 76993\n19938 72920\n75794 96121\n30970 86408\n45240 65567\n21095 56823\n67320 80813\n74460 78978\n31583 77085\n62441 96492\n50055 54052\n13042 57283\n6600 24306\n39750 87536\n6457 61278\n51146 65640\n2681 74056\n48397 50839\n50586 70818\n32848 82564\n45306 49793\n58730 86880\n5326 87186\n33853 51148\n34563 53659\n10667 79571\n45784 56447\n6806 91009\n33398 57879\n60745 74672\n74572 94517\n10841 91789\n23020 57362\n29633 92777\n24961 99376\n51119 76435\n5882 72130\n936 45490\n43819 74370\n26139 34617\n8891 50189\n32171 50676\n89317 95820\n24239 78050\n33699 77298\n15666 82314\n58609 83187\n5744 11415\n75133 97360\n23451 80008\n48185 82050\n723 94634\n24066 60906\n45275 54797\n52975 63017\n68377 76784\n6799 7434\n53768 95585\n56256 69529\n64879 85596\n6071 28276\n43253 52177\n23650 98304\n2939 72989\n56594 62379\n45165 51185\n34281 97389\n12514 33341\n51094 75947\n643 15421\n69704 79457\n40105 99678\n45021 68613\n28499 99619\n47072 71562\n36274 88523\n984 5315\n46512 86123\n27863 56650\n50267 74449\n14843 82628\n16553 72581\n14339 57269\n39758 98337\n86062 93475\n21385 90142\n56367 75131\n33642 54893\n42098 58720\n57941 58378\n51389 91668\n17956 68223\n55991 82526\n29795 71479\n73301 86152\n42634 80357\n13374 53124\n45692 58786\n33699 72433\n5312 95356\n50815 90529\n11714 18828\n31812 82821\n67957 83797\n46335 91825\n34426 94360\n19770 36507\n17107 37114\n40680 62158\n10410 94264\n40049 76836\n385 33099\n42029 98542\n24350 75273\n8736 25516\n29192 77953\n14302 19413\n18361 73439\n52267 82771\n33790 76412\n2277 61391\n11089 69061\n86396 97127\n53974 96705\n7476 62304\n58301 88898\n36301 37597\n19573 75515\n85310 99260\n45714 69853\n26175 99844\n61768 62345\n3072 98352\n83953 91173\n9796 35590\n4314 92548\n42551 85299\n420 76564\n19805 26781\n8228 91978\n58810 81476\n75940 85644\n44033 69949\n40178 44271\n36709 74079\n4989 47457\n8022 42815\n42073 74959\n17710 54353\n50271 94419\n36693 72827\n60599 77991\n13154 63770\n21559 35402\n55337 97036\n16755 48201\n60771 94255\n3360 64632\n59292 88109\n4076 45835\n14132 16060\n32024 39612\n26557 52516\n31459 37264\n51912 63753\n47392 74974\n2408 83175\n2434 95680\n26977 49180\n500 77303\n27541 53472\n10590 48197\n43929 52721\n6740 52944\n1585 63727\n234 43813\n18450 65715\n63743 97609\n13076 84756\n29378 59947\n41811 97574\n4769 36490\n16203 35290\n33211 62270\n91247 93872\n18838 45001\n30247 47355\n30889 43919\n9870 30755\n85411 95101\n4674 73615\n23862 67330\n4353 50636\n27148 70842\n29909 39878\n5113 75611\n5215 61217\n49992 68762\n7142 78652\n46998 95397\n58554 80791\n12123 42710\n9988 16643\n6377 89920\n45101 82104\n4076 49649\n72535 72990\n17399 81570\n67584 96735\n23430 47323\n26796 98482\n29631 60302\n10673 10887\n73173 95462\n3280 27423\n63227 85557\n52140 83481\n12013 83714\n49888 84186\n48552 49445\n24316 33050\n41907 49718\n23817 67129\n42698 82761\n28496 85810\n32369 85128\n53626 64853\n38551 40439\n93800 98385\n12677 60335\n73272 88119\n51194 60012\n53461 90723\n1430 86117\n75921 77006\n37274 79112\n17738 90288\n17680 97532\n90232 90272\n19885 98186\n6321 49460\n5081 48607\n10155 16701\n75773 86990\n69658 77499\n74712 96893\n55380 83916\n22617 60587\n30793 92690\n36871 61364\n16520 31092\n68127 99654\n33835 80316\n21517 37692\n9674 30479\n23235 78872\n87 98263\n54998 99980\n51247 53100\n6568 32409\n40586 98691\n3279 32074\n58293 91908\n16172 63585\n46679 91280\n88983 95655\n25823 72264\n29080 45360\n35778 36264\n7670 39032\n62811 72675\n49546 76897\n29504 95031\n37191 62995\n28162 52753\n59456 75004\n2021 46255\n78357 90961\n1775 69045\n74817 90503\n11814 73016\n12552 71837\n353 38741\n32431 83944\n90137 95733\n51116 97273\n53320 64487\n26305 33186\n80027 97750\n30594 80573\n1816 94545\n22621 46326\n32063 36325\n43933 78808\n14794 89755\n8501 8683\n22969 73445\n49307 65519\n64822 97967\n44976 57194\n26955 31762\n51018 63654\n5001 68754\n10679 28920\n32790 64300\n50739 69548\n26615 37134\n26287 37700\n5931 11299\n25548 46939\n76614 85432\n705 31966\n45682 55655\n62348 77512\n70150 74907\n1681 61168\n45604 47314\n70241 80087\n45713 79191\n24551 46998\n42100 88923\n32093 56633\n34235 35024\n18337 97937\n23610 26126\n83873 96372\n52189 94427\n60696 63489\n12756 54705\n26431 97504\n82770 82871\n25241 89016\n32524 78292\n23703 30540\n25342 61589\n10743 42290\n80392 92197\n47568 50598\n25085 61754\n62849 98395\n53465 68639\n1452 77739\n17150 92095\n40372 73934\n24552 98947\n35936 93122\n11245 92172\n3183 77282\n7219 96227\n45524 91581\n46429 65985\n2318 53957\n5511 31374\n50157 75701\n36316 96713\n38742 61407\n33250 36090\n47928 58324\n6469 24250\n2244 44180\n32529 88854\n24923 93688\n22071 88789\n46798 51549\n38859 50519\n63598 88265\n28870 60804\n52559 67585\n38804 94470\n49795 63149\n5695 9862\n24623 87325\n52613 65328\n43456 73920\n23280 26144\n21335 88424\n72984 97731\n2896 5786\n15080 32969\n8236 16531\n27061 92413\n37363 70203\n39801 45859\n31984 45811\n42483 44747\n7099 85508\n2735 39821\n24819 33360\n40515 55984\n2923 83173\n27294 53078\n35247 44443\n37913 51056\n56985 97816\n12276 35380\n15383 27161\n29345 64525\n49988 77823\n66888 79439\n27654 37267\n15239 98660\n24698 33646\n53667 90868\n66470 84629\n24030 53356\n57023 59977\n20244 97092\n83917 91001\n78816 86280\n81063 95196\n19602 32867\n29697 50391\n15707 73356\n6121 93578\n52850 88943\n35308 77429\n42814 81119\n55835 77265\n45923 89647\n19129 43036\n74929 76863\n35231 60530\n93767 98093\n78530 82883\n54008 86138\n4436 39295\n50025 51914\n40203 89652\n13352 28518\n6975 16236\n28660 38850\n10006 20793\n32745 78242\n36021 55504\n47015 68914\n65028 65777\n68896 81835\n7394 50792\n6146 95545\n50967 81108\n58069 77221\n5826 14067\n10206 55957\n8549 57635\n27484 42796\n25180 56018\n92058 92672\n11249 53122\n41810 56894\n63301 90423\n12341 46740\n43365 96869\n26745 96017\n39114 83060\n5754 8157\n35372 75246\n25527 82377\n3042 42795\n5961 14434\n86003 98371\n12342 42894\n19196 85094\n31476 35323\n76478 76556\n10093 44065\n35773 40057\n28477 33972\n142 35013\n32250 82930\n57533 99903\n4840 13351\n93770 98123\n13475 49044\n52183 89744\n61993 97874\n46738 63585\n3198 96415\n21179 61164\n14451 49975\n39416 54734\n3890 90276\n45392 52581\n28776 90075\n16444 49820\n47713 93110\n27429 78646\n54385 84499\n31733 75906\n73153 85390\n79070 92919\n44032 86084\n25011 59584\n35089 93791\n8787 14985\n32047 83454\n44138 48885\n36532 69012\n37046 98516\n36845 96118\n22109 83836\n42232 67289\n39019 81724\n13056 72273\n17596 85369\n10156 58911\n21376 84038\n14704 49724\n53439 99057\n43859 82751\n5872 44676\n59965 97402\n74498 84592\n48967 80775\n45033 94036\n11901 46589\n86940 90918\n53636 54737\n38510 88331\n34276 94032\n52101 58438\n2611 11965\n4986 16746\n23565 58131\n28628 94890\n64889 81372\n2915 72304\n22803 55576\n355 92551\n42758 43333\n1383 52063\n77944 81108\n14104 49413\n25728 72291\n41282 72116\n44 2652\n73214 85611\n20801 30567\n8367 68420\n6443 52632\n50744 67912\n47540 94980\n38833 92926\n40295 94349\n19256 72720\n56879 90037\n4977 34861\n30362 63922\n33863 83594\n56872 62343\n12425 79154\n13065 77430\n64229 68586\n52922 86854\n91074 97517\n39800 48983\n2034 72643\n74152 86763\n15486 65012\n48617 58375\n72954 90128\n26622 64151\n11878 41785\n9865 59433\n2005 79278\n51137 83792\n49363 85496\n58152 66079\n55302 68059\n50648 60713\n13206 21992\n5612 95790\n52197 75429\n44986 85204\n20317 33995\n2738 38122\n10912 97823\n29611 86216\n41430 82835\n19978 40844\n12050 80536\n47284 79852\n26730 85662\n24081 58269\n83564 90577\n23037 58927\n12792 19336\n8928 84302\n37278 85007\n39424 61221\n7307 10540\n24815 54499\n50526 57834\n41480 72901\n20928 35121\n7256 75455\n35247 58296\n7854 56940\n4773 5150\n43104 59079\n63298 94182\n46843 84144\n999 20585\n5673 68114\n30462 47491\n364 84318\n65808 94419\n43865 81329\n18347 69116\n32850 44532\n60411 80960\n63908 89804\n62584 68184\n6139 56446\n15903 69917\n58064 72511\n55954 98815\n1 40613\n19916 67085\n16533 97154\n63318 98325\n55635 92385\n51025 83172\n75839 78069\n35238 76257\n16700 19430\n66485 84405\n16389 38874\n67906 97579\n21447 71378\n30581 99321\n10160 47258\n22421 72024\n51125 93447\n46812 75713\n5523 59865\n28317 69685\n58680 61118\n58213 69576\n64095 76883\n19171 56352\n75115 80243\n6670 14959\n63552 82132\n49087 83245\n37632 49236\n42965 54006\n77711 87822\n51650 86765\n69525 75812\n677 96555\n49776 76710\n2580 71660\n87676 91748\n30912 52427\n6291 74677\n17816 31080\n1865 61867\n3040 79842\n2879 30032\n43750 94801\n11709 88513\n69807 87073\n21547 51149\n37796 58987\n50686 72059\n26711 29497\n86157 99909\n29241 65468\n4039 94721\n30420 95680\n12047 84366\n73547 76911\n26545 34391\n43712 67714\n8886 35744\n12754 66044\n76489 88993\n13596 41351\n77579 88018\n30081 95856\n10803 87888\n39783 78047\n32916 83556\n28480 79530\n67069 68855\n10577 91826\n21110 21874\n65645 77669\n30059 68327\n55053 66076\n3605 60431\n6747 57907\n522 45223\n8785 26168\n86597 90733\n30042 81361\n29306 50202\n77103 96357\n35154 45058\n63212 91864\n9558 63297\n51464 63018\n13066 42949\n2320 50805\n69333 76068\n39214 85407\n1960 89253\n26479 71837\n88317 89083\n37588 89521\n47471 79400\n72745 96455\n24396 60411\n5480 97523\n5646 79193\n556 69150\n36785 97544\n51203 61482\n6849 54477\n18964 96256\n9872 97265\n68367 87288\n4664 89644\n34518 38676\n597 38683\n13309 75812\n4839 87101\n57877 82152\n42194 84432\n7627 76871\n30358 40732\n41668 97298\n11350 48223\n41053 54419\n8105 33751\n27197 53793\n47088 58657\n27279 99507\n22597 55418\n96080 97217\n88871 98599\n66443 80562\n60484 74478\n15779 33128\n6967 17518\n29415 32962\n78469 90824\n65434 70086\n44842 71782\n31109 35847\n40812 80351\n45569 83723\n14466 72504\n37589 96664\n2220 29623\n47752 88833\n9668 92274\n89381 94098\n2256 88662\n7516 32949\n40087 78439\n9540 59599\n66727 79002\n60647 92710\n9810 47282\n28250 78937\n25033 83949\n4461 54264\n26589 77982\n14567 41425\n25038 69640\n37843 83094\n45102 50548\n23923 52780\n70568 85191\n47881 96503\n3779 85263\n25443 95684\n41057 96415\n54704 56636\n55221 76058\n20456 53357\n50393 54920\n51587 88262\n30649 36484\n3146 33480\n69476 94278\n6377 85260\n16765 61920\n14326 95714\n30829 87368\n6049 62320\n9923 87207\n66540 88827\n43579 69936\n84751 99577\n77657 83499\n55562 68037\n24222 98582\n10511 32228\n12934 43194\n93844 95636\n25824 49679\n3130 56448\n40211 54392\n14635 32914\n10912 34343\n13460 75072\n1030 88136\n86539 98080\n45365 85013\n5831 93447\n2316 81672\n4818 95194\n62827 83435\n56418 85707\n7527 16125\n11368 78081\n76937 77366\n12315 92706\n11822 90890\n17352 71363\n59898 88734\n17050 88478\n37621 69437\n47168 70622\n36486 46882\n18369 59014\n56928 65509\n11337 84859\n7185 65813\n30624 35189\n51669 86000\n28561 44694\n25584 93756\n69225 83011\n53859 93913\n13246 52169\n92121 97436\n23598 59302\n17311 53750\n5980 92657\n1472 45653\n6072 91403\n29750 54725\n39730 71270\n19766 59021\n57466 64019\n28724 35608\n30759 88113\n26102 63621\n55611 81819\n7768 17362\n36852 90910\n40825 89864\n2177 13984\n1511 19546\n69013 91611\n4046 59292\n38887 40413\n26398 90350\n7647 44917\n40171 42184\n76075 82870\n12138 61088\n6642 63552\n32945 69412\n18021 63417\n1789 27452\n14779 28673\n87909 97704\n68993 77265\n386 31387\n13324 30456\n24966 74398\n11076 54950\n19187 36127\n54802 71595\n42680 93032\n7881 94818\n37274 70234\n7874 90180\n47708 84863\n4653 86660\n30380 79763\n9033 36409\n64359 99786\n35866 36827\n10939 69267\n36874 89998\n41918 55373\n1359 4390\n154 18449\n61300 89739\n14571 21087\n19131 71115\n36067 44795\n11704 27621\n1998 31216\n81482 86088\n48556 65594\n10591 96331\n26678 99334\n42549 55899\n4938 29421\n21108 74343\n31443 46350\n12228 74662\n95648 96929\n27996 84278\n23068 64884\n1050 60573\n1522 46396\n6839 70665\n946 15378\n20036 78791\n72834 80016\n18850 90325\n65308 95570\n29263 85748\n42084 93058\n26903 67221\n72994 96235\n54909 95108\n15354 41286\n47444 67673\n36332 80789\n36416 94653\n21940 29723\n20692 77136\n68098 89341\n33871 38246\n15287 48503\n52570 70909\n21445 61268\n4381 88154\n39208 63279\n14233 84441\n35210 85795\n9810 55672\n51872 72487\n3139 54688\n13983 51229\n29746 73502\n10788 23013\n81569 83102\n13865 58447\n72134 77852\n46207 69302\n4754 62763\n31364 52022\n17519 82450\n65929 98441\n39437 40555\n10614 86683\n5523 44745\n668 88255\n439 60999\n40690 84500\n29852 88346\n16184 92170\n6800 43260\n25562 94586\n16128 82329\n57607 70541\n33572 90978\n13677 86307\n81332 95067\n15607 52098\n11571 50106\n17872 34063\n26162 94616\n2702 86824\n2153 11539\n97020 97600\n10947 18036\n71755 95510\n19872 53895\n32614 67256\n47735 96515\n13891 43035\n33649 92979\n3587 68829\n216 60280\n98489 98514\n14501 27352\n24088 69331\n16296 19782\n23374 31384\n15083 39021\n19152 54801\n62578 78050\n1982 66693\n24683 35812\n27219 87430\n7336 27696\n1709 14480\n70771 92479\n46086 75241\n14584 23043\n59763 95088\n2663 67749\n3109 90458\n9667 68907\n19897 98838\n32625 61689\n46938 82976\n17488 29552\n80326 93229\n62789 91697\n1035 6460\n18593 48281\n20720 43216\n44356 90268\n47749 49875\n33460 76152\n24989 42143\n7896 93810\n39209 42743\n48590 96871\n23798 60448\n48513 95910\n84356 90645\n3704 52737\n40502 98647\n8129 98159\n25563 43781\n29117 96007\n5431 32009\n16469 83324\n32520 57407\n7684 45441\n22731 28292\n12688 35969\n47401 91442\n7337 90889\n39597 67131\n6670 26637\n63890 90703\n53913 91411\n4273 11933\n5766 47588\n259 60940\n16654 56543\n44414 53361\n33894 92473\n4143 52070\n67691 78860\n17481 60112\n7867 45340\n15742 46909\n45328 91320\n23903 97873\n12881 89914\n8777 98143\n42061 73788\n5816 13395\n41623 72094\n12277 90263\n2839 33196\n26886 82260\n81533 93845\n9691 72240\n6086 44699\n77 84771\n15106 69824\n79710 83721\n5971 63090\n19622 77103\n14054 91642\n92495 99073\n49784 68930\n2269 80531\n57546 91817\n14446 61536\n34150 86162\n33916 49638\n43533 56237\n41760 42781\n1588 43032\n23420 91939\n66472 97909\n57977 75282\n28569 80622\n88927 91196\n48938 73939\n21478 28190\n40479 98011\n7948 32647\n40039 94960\n28320 72669\n21663 75386\n24351 83970\n47512 99964\n70616 97326\n36884 90113\n9945 81439\n30056 64952\n19748 22729\n27002 71928\n78458 94199\n31120 42802\n18996 75204\n45010 47010\n47122 60825\n382 16244\n12527 99976\n14543 47787\n39720 62015\n50334 91291\n1569 38180\n70984 78222\n47603 68710\n43910 72955\n20194 59270\n36391 96852\n27614 34201\n14439 56217\n47521 66782\n2735 20679\n4195 43408\n31166 72901\n13877 50691\n60458 64337\n71421 86975\n27734 44468\n2984 53224\n32894 76623\n9727 97332\n41914 66772\n46278 47228\n49733 68785\n66943 87934\n68245 74310\n75085 90180\n4437 31652\n38811 59979\n19428 31852\n7811 76738\n49797 77138\n56853 84494\n65328 77275\n31302 87041\n7107 35034\n60801 91552\n16729 49713\n45954 84788\n32731 77770\n65971 79993\n40716 51366\n38751 53648\n33036 67645\n20038 69836\n59043 72638\n67032 71139\n73549 86484\n44745 59242\n123 80745\n70517 74471\n12301 17839\n39131 88543\n13527 33005\n7643 36709\n76696 87886\n44181 54603\n39207 55135\n79341 83321\n50021 95152\n26128 40595\n5950 20833\n33612 48253\n17966 62728\n62593 95351\n12006 54919\n21141 64416\n12128 61410\n73789 75179\n41184 53180\n10004 25724\n17953 79927\n21565 85133\n75773 84404\n16617 40766\n56866 62222\n59017 92131\n32231 96110\n9501 23605\n42906 92381\n35012 51550\n19217 92528\n21344 89218\n46406 55116\n33591 65497\n16235 75167\n15315 92516\n6787 13063\n13962 85568\n42956 88889\n74701 75568\n45561 59007\n57810 76607\n27988 41162\n44213 92603\n25509 74277\n6707 13623\n47780 72291\n23784 89655\n46988 67448\n87731 87758\n48435 73818\n72768 80865\n12470 42549\n81305 93865\n39647 78623\n33948 81288\n15245 73657\n3197 22194\n27260 33108\n15179 97953\n3070 9111\n25864 96403\n10768 71349\n57355 76517\n37615 98428\n27037 99950\n8286 69638\n40259 75671\n37376 41398\n56695 96349\n6748 14083\n64982 98954\n36586 93494\n41696 47380\n86061 95144\n87318 96886\n62359 92638\n21759 49414\n21306 73111\n24888 51826\n92482 97848\n58089 71838\n7394 42680\n8356 42536\n7234 61878\n24694 58915\n12878 60743\n172 72162\n6990 77700\n19068 69298\n29833 84075\n54498 70035\n6678 98568\n32640 73012\n27801 47944\n17395 53002\n52423 58980\n12963 87895\n5173 16865\n48916 67447\n53754 56665\n25342 44247\n48500 66156\n29350 60793\n31568 83852\n10535 13311\n45427 49314\n18521 21451\n59596 76674\n20075 84987\n13809 58270\n82945 83600\n1609 52580\n63159 72874\n49265 82146\n17259 56914\n40466 62534\n28720 82341\n72756 76239\n69501 83841\n62249 81025\n67509 87550\n25136 43226\n25570 53319\n7178 42532\n23268 83330\n7659 63618\n24653 36034\n3631 56860\n8269 62742\n84197 95009\n46209 80230\n63453 94257\n7917 25548\n28433 76431\n5155 88813\n51735 63541\n49253 63583\n19211 50983\n7613 82306\n61690 91761\n2746 50140\n51569 99996\n16731 43480\n95096 98718\n3629 54639\n22133 49985\n22529 48461\n5631 62584\n41594 84404\n56750 82199\n17926 91807\n36438 54248\n24968 42119\n17662 22182\n48011 61866\n2409 93130\n34723 53839\n1106 55708\n51454 71162\n42782 66797\n44347 97570\n54489 71491\n16109 45937\n13099 97959\n17852 72274\n6331 67972\n32218 87793\n5545 65852\n1773 47149\n46047 67507\n85420 93587\n57591 60386\n35966 97804\n58553 67812\n30091 41512\n53101 82662\n12366 47433\n26641 31618\n70453 78581\n70262 86777\n1000 10514\n26190 77137\n36884 76973\n55314 58693\n72703 78824\n13632 39915\n44164 61312\n30766 88380\n10815 96128\n60891 64517\n6751 89651\n53668 92297\n32335 39986\n55244 97046\n34400 64511\n4413 39819\n11978 97957\n21217 97758\n25185 51749\n63113 84677\n73523 92113\n28232 46899\n37959 73536\n60890 81204\n53615 70106\n81767 99410\n32169 74256\n38097 89107\n4287 71214\n5421 58946\n2134 10429\n5421 84578\n9139 81761\n51390 82782\n38677 67626\n25341 85791\n43951 60895\n13782 78199\n31685 65693\n28041 81602\n19437 95739\n21087 26850\n19347 26737\n4341 89499\n3374 61803\n1731 85615\n21170 75568\n19126 70791\n78235 87102\n92431 93667\n13195 49982\n11295 27962\n24795 80220\n25256 34350\n76943 97686\n10232 63550\n1216 65714\n54959 59359\n30042 31657\n64623 82066\n19806 38297\n39391 84888\n81421 83609\n37640 95973\n65232 92287\n52526 64427\n85204 93048\n54082 82831\n22438 36500\n33514 56708\n13019 44654\n524 91266\n23215 59351\n87236 99417\n5213 51945\n42799 45515\n5235 26005\n20560 51995\n38099 71890\n50939 76614\n39035 77594\n64126 75789\n27040 94924\n2015 4147\n74507 82661\n2104 85893\n9199 19183\n20781 92076\n11151 70803\n29538 47009\n53428 99870\n17981 92275\n52304 84994\n77196 78133\n9345 35470\n79396 97107\n29800 50692\n46110 73881\n21995 84491\n42637 69690\n6685 47224\n46408 78703\n9741 97505\n7253 82548\n2153 97061\n39939 46061\n86142 89963\n34528 61145\n48366 82160\n2964 83652\n23658 77122\n11413 76443\n4941 60586\n25329 81328\n66744 84731\n60663 64215\n53471 91026\n51445 87229\n11710 63208\n57609 60443\n45282 51836\n76302 90118\n59545 94233\n30368 35897\n11532 27116\n5829 17412\n30109 96786\n8747 49695\n1717 84498\n50136 79746\n44558 83111\n14062 61679\n60817 97250\n29186 90272\n49205 74952\n91128 94739\n56324 97026\n13769 82046\n75932 86376\n77665 85954\n16026 86053\n83340 94778\n29411 61260\n24027 93683\n63015 73250\n10840 91138\n5932 35536\n38420 71103\n35619 98613\n22853 29489\n11914 85198\n58212 79709\n1785 49143\n77772 90412\n8978 51160\n39315 55783\n50707 90797\n46022 57716\n84304 98936\n86903 99636\n6017 59554\n8922 45697\n26804 85964\n45893 47954\n66108 96279\n37451 58998\n43996 66222\n12414 71342\n31449 70664\n19848 59714\n8785 83430\n53808 76341\n44577 70993\n20193 57021\n17066 65640\n81626 94190\n30302 34863\n4977 15752\n71040 71106\n54172 81339\n20368 46242\n2731 92644\n74002 78529\n82760 92283\n15037 80269\n77058 90782\n84323 86768\n10111 22205\n7067 79753\n60650 76581\n22768 23702\n49228 79594\n26872 61362\n4322 78681\n8955 45655\n24190 82958\n58679 80271\n15658 71580\n80268 89748\n37124 59047\n38004 47251\n41402 47953\n22604 73441\n57530 64933\n65805 76865\n50432 98278\n58732 68339\n20390 58458\n51699 58104\n43613 87946\n20362 26621\n12326 33041\n40926 53187\n13639 65977\n26353 45908\n41077 51363\n67904 93291\n116 21303\n10466 52069\n15044 66914\n36658 80716\n27657 54542\n18410 54392\n84849 97961\n66506 90119\n38376 49107\n3864 62472\n5878 65954\n74790 80503\n28054 41320\n5930 34067\n60334 83298\n43170 46493\n88967 98672\n9913 70275\n12237 75504\n55563 87618\n70229 90165\n68910 96273\n8454 25440\n2766 19390\n8295 27411\n75188 91623\n33497 72232\n18033 65546\n35443 35682\n52837 77899\n61353 82646\n29975 43128\n5245 83369\n10996 90662\n39675 96244\n29063 95783\n63566 76220\n61010 89886\n33745 45453\n86962 90365\n38853 41110\n42177 89924\n56501 89283\n19621 99492\n55009 84743\n55392 83726\n58466 84854\n7236 90712\n39250 60291\n26841 35406\n66111 98337\n26426 98538\n48546 53559\n92599 95812\n38654 85154\n28108 62354\n3249 46878\n65265 98257\n56106 60798\n34881 73085\n951 14425\n7521 87608\n9788 89973\n37825 66725\n37734 95811\n3812 65259\n61094 79559\n11888 46691\n8177 64126\n73539 80094\n56330 59866\n74477 86820\n22274 75898\n26676 91023\n50833 78282\n91319 92668\n22779 37794\n40233 88654\n14623 94107\n21292 31084\n3272 59672\n39702 48036\n37559 73985\n79018 91200\n6019 35588\n61987 92832\n25352 61571\n49951 74796\n61009 75984\n5402 11246\n15214 39599\n49033 75374\n49228 61195\n68172 99757\n43482 85165\n53182 77232\n19941 44390\n31726 56557\n3529 98658\n9540 52331\n10849 18301\n24860 48360\n41729 79777\n64436 68389\n58897 88947\n3196 85154\n21724 73560\n40609 51210\n11503 57516\n49229 95637\n70118 76602\n26289 65491\n11586 76339\n8533 60350\n32783 56013\n42789 44749\n69916 87141\n82190 97313\n44741 93537\n37523 49301\n17618 48554\n15998 45254\n33527 70859\n67401 69559\n39340 48895\n978 69466\n32814 82251\n90266 96695\n48324 64595\n6059 75655\n29379 91830\n22606 51920\n20941 41905\n17764 81795\n38886 75946\n4581 90944\n1317 90805\n8958 75786\n7118 23936\n19470 38886\n10458 43281\n9213 63086\n7069 32113\n4048 46683\n11597 51748\n42109 72089\n17216 34033\n10273 25705\n42181 49282\n71535 90552\n2393 63709\n65245 71822\n58666 64612\n39734 44773\n47021 66840\n14159 15909\n3300 38406\n16280 31504\n48639 89795\n35624 63397\n34153 72325\n31762 32846\n55566 93503\n40856 75603\n66308 91488\n46576 65323\n72621 93663\n37825 91531\n2103 65680\n46713 70878\n72105 91933\n14272 95495\n22726 70062\n10369 80729\n7173 46516\n49886 77771\n13623 52232\n5462 88198\n13774 91891\n51730 73263\n2141 58099\n5892 66516\n24840 47005\n29584 35565\n25909 68380\n18334 97086\n53849 71470\n62837 91045\n63240 65066\n9178 66862\n6823 49771\n21044 28622\n8899 17794\n66081 94167\n61982 97925\n29760 59657\n1292 37707\n11353 11564\n27817 47586\n39897 72180\n16191 58144\n89511 92834\n51745 72498\n23042 26807\n85769 87029\n1002 47240\n12087 94035\n24966 63872\n28044 58184\n28162 94492\n52891 86036\n31884 75445\n11287 86444\n55252 55569\n31974 86154\n36538 76162\n690 29545\n30802 32439\n31925 99554\n67494 74023\n20083 69467\n18883 72019\n21426 46904\n42776 45933\n8637 11630\n3806 22306\n1853 43842\n52168 95874\n4398 15817\n53368 74798\n19048 51904\n20943 40620\n59526 97258\n79157 82557\n13668 26630\n16378 89328\n4470 84178\n52070 57427\n28279 82931\n32081 51142\n25157 44360\n14716 18311\n45844 92861\n14853 84890\n19832 54971\n35444 50968\n69846 87845\n22905 93671\n4327 43955\n11401 56537\n41814 59166\n33687 72676\n38586 88459\n71908 72691\n14212 76830\n54697 77813\n3162 65545\n14645 69258\n89618 89844\n60502 61048\n15210 63457\n67728 85878\n11610 34867\n12381 67634\n65898 92532\n96361 99158\n8197 37735\n13632 15429\n23281 63678\n12063 19112\n42633 60255\n55200 63784\n2531 18311\n73415 78269\n81586 81819\n41858 90863\n47403 67332\n82766 93658\n32069 92663\n3865 35890\n12482 88264\n26167 95769\n9410 37311\n38174 83498\n16007 40476\n79965 97768\n29566 58873\n23618 49959\n25141 54034\n13682 42446\n47240 54897\n25997 62093\n35121 37915\n13965 53773\n35664 97784\n20122 92455\n1646 31608\n39959 88769\n18591 65219\n12296 56840\n30347 37097\n87279 92536\n60136 97603\n48467 77433\n24139 40619\n10265 50591\n414 64747\n84418 88034\n21828 25265\n17179 53599\n33682 50807\n25527 85476\n23800 44414\n628 4190\n16003 87777\n18866 62457\n27704 27844\n2368 10062\n19149 55066\n54383 85908\n12909 38587\n87794 88284\n47640 90114\n32111 87255\n3475 62480\n35940 67532\n44683 92914\n62539 92007\n21768 47925\n8291 22889\n60391 91206\n7908 12060\n56157 62441\n27788 72126\n38488 70431\n1314 23488\n52928 73314\n35920 59976\n6302 17096\n43092 99717\n28281 79571\n20346 56398\n18700 61931\n63299 68087\n39376 43393\n80061 94859\n11106 16497\n33781 56074\n20082 89903\n33432 50557\n39980 41589\n1077 48543\n36638 72198\n9596 65009\n48930 95238\n8097 84027\n14540 94008\n30062 67659\n35580 45786\n35229 75008\n46251 95169\n20023 85898\n83544 86547\n29594 68864\n15115 31632\n57897 81019\n21522 61400\n43420 72455\n19238 72991\n5664 68640\n82395 84016\n14826 62829\n26940 28988\n8692 22298\n43578 63365\n30906 89232\n47194 78215\n60231 96829\n41338 65732\n40220 40330\n68018 90187\n30707 88237\n18738 56032\n22179 23665\n28907 95880\n22146 68007\n4754 78980\n41280 68255\n35613 93196\n16527 31911\n14446 29123\n17043 82564\n29865 85661\n28821 43190\n82746 96347\n23319 50649\n3926 27411\n37511 85481\n810 34560\n48916 54574\n17462 19293\n33207 56702\n63942 71916\n4864 66056\n2416 54395\n6431 35667\n2065 5585\n7955 20868\n36578 77170\n12346 60008\n59970 88991\n75551 93548\n8650 87321\n11859 97304\n33590 63966\n352 29478\n64434 93016\n47142 74767\n7222 29512\n55947 75972\n11964 87077\n38584 83151\n55202 67930\n37560 93859\n53912 70873\n4222 33477\n9633 41729\n11127 68789\n35172 50509\n15486 99913\n26556 87649\n1290 91865\n16427 62322\n14575 73930\n9420 29973\n23067 77082\n82263 97271\n20501 21008\n64634 81760\n22154 33289\n48608 79792\n6714 66332\n10991 66501\n59629 65743\n40360 76638\n4381 98610\n46097 59998\n22305 68029\n92503 99839\n64313 80510\n26012 40518\n27043 29645\n5714 65386\n11814 73521\n42626 78260\n87089 88727\n1801 7024\n35735 59557\n41372 89843\n2811 72386\n10017 43249\n36051 43896\n54215 84237\n10141 49875\n63108 72096\n48945 50326\n8881 86987\n95282 96347\n47490 64309\n35855 61249\n41028 51300\n19845 74918\n40892 97580\n3578 52155\n93619 93990\n46392 54670\n43881 96499\n7356 12057\n8969 96754\n33286 47994\n49084 62750\n1761 65756\n20781 59737\n51098 54963\n60062 90506\n21610 39270\n5797 68485\n50797 86767\n31199 79923\n14389 95495\n338 2939\n4621 48000\n49270 73065\n24677 55269\n49791 85610\n61814 70983\n39653 52753\n33532 63409\n18595 96220\n34159 65214\n12832 86533\n2499 40725\n1923 26729\n62654 98356\n36769 44563\n10977 21706\n13425 89654\n29036 56000\n26753 65563\n32127 83249\n20625 51494\n33632 72153\n40294 77500\n45964 96812\n52043 78835\n45531 54099\n21547 33256\n14273 95596\n6496 39492\n42952 67673\n67953 84470\n26299 28679\n23482 61693\n38488 80647\n75843 78793\n32603 85032\n22900 55867\n7411 62193\n77976 95485\n32422 45025\n54556 68161\n19651 42658\n21653 88885\n63545 72950\n72482 87272\n69789 81464\n19574 89677\n8172 56929\n11179 72617\n4221 92270\n16023 39914\n19957 48396\n6593 71079\n89419 93830\n14860 89385\n74283 96625\n28058 56192\n22426 91864\n8113 55992\n63690 86982\n74018 99088\n46065 83075\n49982 62102\n56675 82396\n5546 77290\n18527 62349\n1383 83317\n55872 90545\n72122 80157\n15030 42285\n7883 56434\n23965 46352\n30200 89141\n52082 92618\n32054 78790\n11786 82186\n86334 99981\n12677 58293\n48034 86490\n47043 79544\n24342 27279\n68851 69584\n31720 64737\n28831 46214\n66835 78686\n85278 97691\n52666 73805\n44491 55588\n1667 82282\n32109 87715\n36004 99880\n62416 96048\n34971 77529\n44295 79333\n24866 95083\n32839 82424\n8260 44703\n13139 84862\n75271 97200\n21235 84279\n35472 81361\n78543 82161\n59650 93208\n23074 85899\n66114 80790\n45151 75904\n7068 69446\n5537 80150\n75525 83949\n54775 57774\n12556 30323\n15997 93617\n20418 54191\n80500 81682\n59070 74470\n32643 79551\n37988 46344\n27635 71627\n67015 98888\n38399 80321\n58454 64116\n63726 78122\n13752 50546\n62575 67443\n43905 60790\n11919 32327\n58990 94987\n77302 84896\n43386 94184\n4851 66626\n12719 46514\n1053 99522\n71544 85851\n13530 91808\n33911 45773\n12248 93712\n4533 63752\n42406 45606\n29053 55906\n16908 40683\n18717 97963\n43450 72807\n5010 17514\n16796 89315\n33896 69351\n30802 40755\n91119 94032\n18422 21705\n25032 86621\n1171 62955\n10521 69052\n6309 75372\n22483 88955\n4050 37421\n88967 90059\n31393 78838\n95010 95489\n23000 56648\n21566 73036\n20042 21193\n6551 61833\n45727 48120\n41058 90940\n14428 83995\n39757 54709\n64415 90700\n18060 78644\n1009 32749\n5621 73599\n26616 34148\n19334 30928\n1393 52679\n67442 86509\n11635 35950\n32759 89493\n27188 55879\n35828 75244\n88424 98715\n17148 89028\n59228 67877\n28474 42672\n34654 39114\n22469 49975\n21585 70397\n9724 98798\n86035 89427\n45816 90707\n22294 72953\n47178 54830\n59356 78895\n65357 75613\n6922 71489\n34640 87657\n12903 94066\n4109 30642\n53251 82326\n5455 11926\n35996 73851\n63215 92943\n14927 73234\n77146 99000\n46694 63985\n50521 71394\n35279 70081\n26913 63793\n17552 48155\n20533 85285\n28848 43200\n56773 62105\n40751 48957\n14136 96429\n73202 77957\n66682 85213\n2935 29592\n29798 55705\n20637 65626\n75148 89084\n52232 98213\n33112 46723\n23712 48644\n24695 25896\n66860 67619\n45143 81063\n15469 42957\n27007 40021\n52438 90701\n1834 57535\n11089 43844\n47078 49138\n11187 60963\n59010 60071\n61994 83008\n30308 76354\n40445 49863\n29245 81466\n22060 75878\n4754 86962\n19645 68793\n10830 40904\n89827 97140\n13448 14901\n92950 97488\n13081 31940\n57657 74796\n74579 87249\n4343 37820\n10173 49040\n743 30760\n13541 41854\n8956 50087\n59970 84695\n2604 2962\n32276 65957\n51647 99629\n38799 57713\n58943 84846\n7675 86965\n30778 96546\n50048 68710\n65054 89094\n42001 96302\n43539 71623\n23683 78238\n28536 44405\n24733 80453\n20829 50873\n10913 76066\n22690 40437\n8190 26429\n37396 96589\n49154 70965\n50567 75941\n17145 89607\n17737 86065\n7030 89748\n82502 98000\n14416 24238\n42979 45519\n40119 57111\n39203 42352\n31710 87384\n2935 91407\n29815 78530\n31444 82838\n28306 55461\n87590 98523\n33409 49038\n75989 90295\n9138 17937\n28112 72824\n16459 98033\n66307 79775\n20945 95559\n6106 75480\n69896 72300\n14274 18167\n13277 57783\n43933 51433\n34532 34661\n3640 92321\n18640 22816\n23616 63961\n19323 35792\n2172 15447\n40031 72812\n35736 88379\n27656 57019\n68501 92690\n38920 59962\n23541 88291\n41373 63470\n4456 86111\n33737 69652\n44637 95508\n68240 70434\n21279 44473\n6463 68378\n30580 39250\n34307 36908\n36273 55725\n36358 60123\n25878 92162\n39255 87521\n45826 63764\n51277 97018\n48145 57715\n27757 84485\n8242 16795\n52741 73974\n4176 65521\n44801 60458\n26725 46551\n6902 91109\n6479 70658\n51783 53788\n3944 98710\n4525 14684\n88800 91133\n18414 62198\n22999 82449\n47421 86713\n22329 38189\n74258 92606\n44702 54757\n47723 60513\n74175 84635\n8039 77523\n22423 51624\n52964 74437\n76645 99282\n41397 74933\n17954 70042\n78064 86838\n22380 67131\n35011 89462\n37662 60235\n20959 98506\n15376 26173\n40169 86908\n34967 93880\n21467 47929\n28518 82550\n2397 70700\n5387 33773\n17824 88888\n12672 43994\n14516 73393\n1529 71737\n17076 25997\n17795 40987\n63425 72963\n12640 32334\n61695 70912\n49737 51370\n3067 53154\n60885 82394\n47353 96373\n54115 59157\n52319 92031\n73780 91354\n18245 72841\n26967 54968\n23474 60006\n68623 72210\n69438 81344\n74810 89527\n62285 95450\n28370 77479\n45986 75662\n7974 83977\n38380 69974\n51918 76179\n70134 90897\n50706 95955\n37988 83210\n19093 79099\n64188 82745\n56398 81240\n33225 62665\n70001 79426\n33622 86241\n6958 87211\n38277 67290\n56428 71125\n5233 69484\n4053 71793\n7199 26002\n64169 83150\n23909 62456\n40330 70500\n55784 78049\n17743 32688\n18921 84148\n15360 48911\n16785 57149\n44642 70644\n27419 79235\n12083 48314\n76545 77575\n28465 93123\n60323 71827\n26074 71079\n38077 77523\n50206 96857\n34075 64298\n30231 72056\n57938 75042\n15603 64226\n14175 33818\n13923 98622\n48607 93875\n17156 54188\n38206 73055\n2805 19035\n5539 91791\n60401 90620\n25390 74581\n53657 97426\n80107 90095\n53139 88126\n10135 11688\n57077 75116\n79914 82272\n43566 99204\n40282 51816\n89260 92672\n7398 21942\n70132 88568\n11350 42744\n25157 48934\n71361 77109\n24858 45670\n47553 78240\n37315 91598\n27430 40616\n37621 72998\n639 7096\n8873 95393\n26675 28513\n74558 78870\n34296 79286\n20459 83178\n13947 71869\n34588 96507\n47941 85264\n19520 30790\n74270 89382\n6619 56544\n11919 43238\n40975 51931\n20383 20898\n45705 55914\n25516 25589\n81394 97553\n66191 91261\n6579 89536\n22358 29840\n1907 55765\n39521 48621\n45638 72231\n23112 54713\n60154 67502\n4768 76973\n57447 81320\n72281 96502\n21562 50850\n11888 85244\n26306 80156\n8349 51939\n56681 61733\n22324 98846\n4245 9402\n14121 79102\n2666 83773\n80687 82539\n4663 34156\n3838 27845\n33674 84090\n82263 87774\n20793 75358\n18027 75705\n13145 33590\n13602 96547\n55966 82911\n20321 59967\n4040 60728\n408 80261\n11303 20761\n12605 94095\n43595 58656\n22020 36382\n25093 61231\n3745 69826\n53106 72894\n5557 56853\n52133 67889\n68647 85475\n35100 78374\n22643 26446\n37551 64968\n5602 78616\n9616 27547\n49058 76559\n6549 33997\n24136 33409\n25029 43402\n64638 96486\n14869 36259\n7028 76364\n62998 82136\n41886 81614\n54505 69655\n19024 52893\n11297 84623\n18711 99320\n34565 92497\n10403 54559\n57079 69218\n24181 53947\n28778 33443\n38385 42725\n14759 68166\n12352 46670\n30880 47712\n86739 97673\n56487 59865\n42499 93394\n65720 97394\n6739 96445\n61502 66289\n79160 90461\n94265 96939\n67709 93898\n15208 49712\n53255 77021\n94100 96116\n58688 71872\n55508 99095\n46990 49572\n7254 21795\n24897 85954\n30275 83435\n33129 38618\n67312 96462\n56575 67310\n67103 71596\n16856 85393\n83988 87723\n17277 28456\n14178 79458\n35586 92944\n14851 48214\n18533 22371\n16999 42109\n17733 90193\n40324 58900\n30219 30963\n30991 40847\n52915 96705\n33514 44749\n1991 70209\n91548 94778\n33397 40752\n17719 91371\n16098 78059\n7436 70479\n22951 32081\n13784 43710\n21541 89446\n16888 35668\n69911 91054\n71876 90374\n52582 74262\n34866 71747\n23700 36126\n78887 86881\n26502 79203\n12814 69335\n5059 89063\n64041 70946\n7968 91629\n40419 91581\n42897 74416\n67284 95433\n16054 31098\n46435 64804\n4040 38892\n8748 17283\n4418 62052\n23144 66329\n31611 36112\n42411 88804\n43463 58421\n25946 96103\n1740 11164\n11925 37656\n61062 90333\n34873 37913\n7023 90639\n43586 60271\n54826 78999\n66007 99973\n49879 81704\n9696 67919\n59210 79395\n11405 82720\n49245 52285\n76401 92463\n5117 46596\n63212 79514\n42042 65804\n7793 71963\n2301 66152\n41208 55744\n25125 53323\n31162 66334\n1840 44285\n4385 60753\n178 71590\n50376 76618\n36795 91147\n12557 77191\n14143 52663\n13354 38789\n12160 36517\n12562 48807\n17320 72432\n22886 61058\n49033 56720\n56245 63001\n1102 92017\n42477 98861\n15682 23823\n3795 18697\n8355 30631\n78039 99911\n5551 11541\n42251 89636\n51853 91989\n51990 90006\n66074 82731\n69398 91032\n49939 61468\n25315 87776\n80586 89916\n90547 91202\n22796 30331\n64282 89261\n19289 81970\n53250 86348\n96172 97800\n75843 94710\n58659 83564\n42573 76501\n8690 79581\n9230 20079\n12240 45472\n5112 33417\n21923 48978\n9524 77306\n3070 39637\n21448 38967\n47616 73479\n40264 62623\n3141 78525\n19286 94496\n27323 90529\n68932 69238\n2958 47240\n685 5211\n9442 89034\n48121 89932\n27481 38205\n15892 18835\n5062 67076\n37913 79439\n25697 32328\n19327 58256\n63110 79972\n58799 75540\n32868 41899\n5157 68831\n72388 85929\n46201 91777\n25540 53572\n48193 74094\n49875 82053\n57400 58569\n33795 50586\n27080 64937\n20199 28035\n52554 72073\n71677 87731\n6655 48366\n73364 91392\n23242 57388\n43586 64325\n2836 26402\n8137 47435\n22272 78000\n3916 76699\n13671 51504\n61086 90319\n26659 27985\n2324 7076\n9415 49728\n8963 99366\n39849 41062\n46633 82455\n40211 82776\n42004 59317\n59623 67130\n90944 92168\n4589 24551\n29838 79635\n20754 93573\n47279 72614\n7162 75612\n25686 49963\n23121 78445\n30389 92470\n12452 32768\n62524 73558\n85748 88351\n52943 55781\n40436 42538\n42316 62093\n23123 41222\n34362 92669\n3996 25127\n39424 82154\n6134 75651\n17763 20717\n20818 38877\n16247 33305\n56565 58833\n11749 36576\n4215 11963\n41669 89362\n59898 72781\n40210 48851\n50994 74514\n45957 66110\n21061 29659\n57936 96761\n13230 71118\n11853 41460\n42524 79847\n46899 84836\n22546 89667\n1205 17188\n13294 39568\n29866 55929\n68284 95033\n14990 53229\n26103 87668\n17570 20528\n7233 78856\n1429 97034\n41433 46038\n10138 67853\n45409 79532\n29195 87951\n32885 71657\n10583 72918\n36981 89936\n62212 83431\n50108 87678\n37460 59709\n33416 74569\n70550 99702\n33052 62980\n7254 30367\n12758 32571\n37921 71182\n38055 41442\n19407 87829\n51886 52479\n52749 79079\n23469 84708\n5882 73457\n68989 94716\n78542 95742\n25897 64326\n53074 67009\n11667 20767\n57803 65536\n31947 69855\n73564 90688\n48138 80876\n52190 65173\n9339 81520\n41430 87855\n46784 84177\n21228 58424\n11361 31143\n27623 27795\n17857 39479\n26398 54812\n15509 88655\n23725 79685\n3428 89255\n60944 61927\n2373 42388\n60522 60697\n29443 68454\n10073 95740\n50260 92359\n78131 81267\n50737 90965\n7860 70409\n4803 82776\n57025 58864\n14068 29098\n71100 76838\n11547 65893\n9854 29643\n71695 85643\n82565 83929\n31691 57601\n33223 65029\n20063 57986\n1224 44443\n29920 38614\n66483 77507\n53527 95066\n4279 27828\n31587 67331\n17289 67604\n35107 38503\n56383 89271\n25438 85940\n49264 73531\n40817 97147\n64503 90646\n26267 71407\n52438 93550\n30722 71477\n69978 86309\n18804 30256\n61043 89607\n13589 84591\n5623 87480\n37040 87426\n17002 31253\n19327 77333\n12739 17534\n3056 18745\n30576 58072\n10000 93592\n14612 69896\n17531 17774\n2125 85670\n53885 83695\n38458 39256\n64877 90869\n78985 85460\n56775 65812\n30894 32979\n83654 93752\n21712 47394\n45257 51437\n33029 41662\n74898 82006\n3412 68512\n259 1338\n9279 92085\n79308 83053\n39186 66863\n16946 17855\n8861 63060\n57399 98269\n41194 68391\n78722 92591\n49962 76153\n43797 49027\n33856 74117\n53028 76205\n17127 34031\n32592 84247\n18112 91925\n50255 65164\n44660 74134\n4605 73084\n83653 87014\n32289 40779\n20645 59642\n16824 80761\n11395 90813\n42535 49468\n22311 59539\n24835 90725\n58590 96328\n46381 54331\n11196 17928\n4986 97490\n1607 61232\n18997 60240\n3770 6735\n32222 35075\n68560 93374\n93259 97654\n2161 5162\n60141 88314\n63711 96966\n3115 10735\n52751 90707\n32202 59825\n56852 64113\n87030 88905\n66635 90491\n6422 33283\n4250 90254\n54214 58316\n40616 80394\n26644 32659\n30748 40523\n30426 92245\n57003 87140\n45599 79852\n56159 77665\n40387 51937\n59065 70694\n26519 80808\n20456 60289\n37079 43551\n1469 29263\n9780 85626\n60868 67406\n10057 80359\n9516 48171\n6527 40221\n1844 38975\n10513 69400\n20077 74322\n19401 50159\n33053 96422\n15747 90199\n45889 90332\n34102 48413\n31912 71155\n12138 72560\n41338 64192\n1244 80274\n62384 69199\n54882 83216\n18806 53096\n11423 43444\n57066 62711\n10160 41421\n25324 82759\n22097 54281\n22834 49422\n23211 79896\n12550 22010\n13685 46265\n27612 96173\n10213 70427\n62404 68050\n71426 82511\n55103 84177\n53897 75575\n24093 42242\n55189 87663\n78375 80854\n3899 60132\n34560 69985\n35900 40520\n59079 98833\n19915 68367\n23613 34887\n15091 85716\n16932 58004\n72080 73994\n3094 50172\n69064 90469\n16553 30232\n18722 66734\n10738 31519\n7890 38424\n29955 54960\n33337 59171\n56934 96653\n389 71888\n28379 40541\n69529 77041\n4394 20274\n10362 62881\n1283 81553\n27960 29313\n7336 28415\n70988 88150\n17476 22506\n49090 51856\n17148 70349\n21733 36310\n27854 65653\n18347 61096\n83485 84754\n31067 37704\n68604 98609\n12982 88081\n33737 42905\n33176 40234\n719 23619\n5532 44708\n4278 19023\n73751 83834\n60857 82795\n1237 25171\n14982 46455\n1078 50307\n18279 30389\n20985 24919\n62204 87102\n22009 62803\n19344 59865\n52052 57691\n37595 41190\n7682 59467\n37152 41046\n68325 92590\n77142 95003\n53563 60182\n2214 77166\n36811 58421\n22734 82613\n45491 60905\n40786 65924\n8228 27037\n94506 95423\n28929 65183\n58847 60115\n9177 18343\n67551 90138\n15506 20831\n13454 88255\n65637 83011\n39642 91946\n23597 50676\n45860 59488\n29778 66080\n409 88523\n48334 98007\n26728 89085\n63948 80056\n11310 62580\n5601 87394\n24141 60896\n7172 65750\n75783 87290\n76356 83606\n38326 65593\n17780 48992\n74936 80880\n16771 28420\n26970 55083\n52172 67892\n2108 12017\n18258 97931\n4595 29285\n17718 33050\n43704 47230\n18443 45732\n5962 15247\n735 30273\n17186 40294\n37937 87056\n60149 94494\n45824 63202\n34550 68809\n36944 47492\n2706 69925\n24208 42717\n22412 55141\n1175 23878\n914 48830\n81677 84140\n17050 90825\n46094 77006\n35916 61443\n57097 73411\n39908 42821\n34697 47388\n40795 79220\n51578 68044\n2578 37604\n30249 36248\n74021 90589\n7952 38804\n20618 58208\n48999 76913\n29332 81350\n49875 98746\n58342 69661\n21815 41791\n75869 95305\n35042 88786\n55798 76523\n3189 7576\n19262 49898\n26528 36247\n28898 65702\n69241 70255\n49802 87344\n18723 57413\n45982 73981\n39668 83409\n50233 73679\n46031 98260\n55983 74379\n73704 84120\n65864 97117\n47926 75156\n42948 81023\n1461 24970\n25255 59673\n36722 41178\n61020 83820\n33019 36780\n9062 9701\n45018 55072\n4308 11773\n29480 88346\n20083 43501\n8518 78639\n33477 93319\n769 34617\n77114 95544\n32206 62936\n8983 31595\n1024 36246\n64549 82534\n66066 83438\n6052 33437\n57715 72888\n48050 80766\n25518 28304\n50930 95393\n699 15862\n9836 42143\n23411 45351\n691 20585\n3352 90640\n29383 85481\n26275 40448\n81815 92374\n22981 37831\n5287 20317\n28358 90495\n57515 82398\n45134 46114\n37763 64890\n45829 71690\n40318 84570\n44528 59426\n1489 44401\n55791 78888\n41346 41356\n65814 97007\n6641 52430\n15569 72922\n59193 69605\n67522 83554\n26797 85565\n47665 73317\n1682 46768\n9608 45100\n41813 89382\n74531 89389\n52665 64437\n19345 75778\n3564 8194\n52756 80870\n51192 81791\n16275 59935\n13795 57866\n18301 67699\n6340 66734\n52804 59002\n33622 69894\n19455 21810\n67447 72618\n19282 37098\n2491 22673\n56294 78976\n20056 59362\n34228 48412\n22663 94488\n73626 90515\n17557 89036\n71332 80762\n36067 64140\n52144 52184\n67202 77651\n12610 28766\n24662 67341\n13923 65058\n25134 74041\n54705 95729\n40112 83173\n21384 36294\n13316 21233\n40480 60826\n24354 66403\n15722 52821\n22671 24107\n16171 57487\n35970 38845\n51423 67323\n29423 85749\n27651 45443\n14378 76761\n27571 38590\n75258 79248\n58159 66216\n25790 48140\n4789 61003\n34236 42963\n66282 91444\n30295 55694\n2046 47950\n1131 37451\n43851 56710\n51536 92050\n43272 80990\n3090 79756\n44211 70478\n10478 55029\n70875 98811\n48311 65808\n6185 17163\n25741 30392\n77621 86679\n51229 53385\n21132 27433\n32273 85041\n17887 67008\n747 20974\n6363 99545\n13098 46766\n31387 40903\n49993 90928\n863 9554\n15226 42894\n1905 61686\n44078 80725\n38368 58379\n34191 92567\n28725 64783\n42464 93049\n17312 30916\n67499 89392\n62869 85731\n78595 83495\n69664 70157\n48064 79259\n958 30722\n37921 91790\n32620 58027\n20254 70526\n24268 75481\n61318 63463\n27539 67586\n68033 80697\n29309 85678\n23331 50753\n79237 81185\n68230 80756\n44137 61653\n30033 67711\n37319 82246\n56983 80029\n18553 65421\n22796 49702\n9396 40894\n15984 98835\n15812 18720\n12437 47294\n22428 36167\n56514 79921\n3682 20884\n15462 76939\n18410 25235\n9680 65250\n23074 50001\n33119 66227\n47360 58938\n25817 90360\n8395 96944\n41608 81496\n65873 80715\n42024 51613\n9642 72681\n38584 56257\n35015 79131\n71301 93602\n63858 76355\n33836 52400\n70570 97184\n9733 91478\n19172 21028\n11639 36919\n18752 44517\n69273 78548\n29887 61886\n36285 53190\n48759 52757\n89960 96531\n8333 84929\n44726 84186\n17230 90131\n75519 78491\n9585 76470\n23627 86892\n5317 16386\n1858 63303\n7049 54530\n18049 89057\n19231 28252\n17966 21443\n4619 8823\n5741 13058\n31901 33302\n56186 60629\n10512 45544\n12353 35330\n17951 45647\n43180 95554\n42144 66053\n41058 83621\n40933 94601\n9605 93867\n18554 51461\n12082 27771\n3164 53688\n4497 60980\n7456 42930\n10795 83184\n23673 80072\n26959 87011\n40195 46100\n35159 46682\n28373 72693\n7732 97237\n6210 81184\n32320 32998\n37542 73867\n34225 93023\n74352 74909\n7970 26315\n86520 93604\n55737 85987\n2466 31557\n54407 75482\n77713 91137\n77708 83265\n19835 64306\n1202 5820\n13589 43892\n4716 39349\n4020 10905\n73073 94795\n8730 79998\n17503 35921\n17504 34562\n34385 59999\n20089 61865\n8346 19013\n824 79031\n11621 25336\n30430 41157\n76041 92434\n13799 35492\n8283 23132\n32031 99813\n69354 87496\n22372 30541\n67416 81642\n11455 70776\n75942 81911\n51373 95870\n73474 89417\n60179 71527\n5336 83248\n59325 83270\n22413 31527\n33585 86788\n15035 68651\n23327 74150\n51167 80403\n26863 48457\n44220 60263\n9403 34175\n1586 17249\n14459 74030\n28506 32603\n37425 75399\n15421 89081\n55495 95889\n25935 43488\n50968 58707\n31250 33788\n11977 78132\n22270 89641\n27840 85573\n69327 69789\n63547 98120\n25019 71617\n44774 83583\n45988 79222\n21165 36017\n63251 87610\n3695 35625\n51364 53590\n798 69646\n69126 99804\n21559 64984\n26281 41178\n40338 57560\n17098 75269\n1744 74611\n61433 63465\n80646 94098\n17061 68845\n77496 90607\n64099 70670\n43386 71490\n13412 88659\n13087 36771\n74564 87502\n70691 92277\n57322 74719\n64247 87132\n24296 49212\n54536 93337\n60417 69219\n2177 60905\n18347 52593\n5270 40568\n33557 71251\n32592 85926\n36779 50416\n47484 71866\n16519 67157\n3949 82492\n52356 77339\n894 15397\n35506 66299\n16321 71348\n39277 78332\n26280 82297\n32137 32705\n62684 65470\n17121 45432\n7620 92564\n3283 96308\n54978 84744\n1003 78718\n8323 33710\n3691 55744\n44777 56474\n20514 33817\n61363 85034\n26551 49739\n19381 83171\n58778 97115\n9999 55239\n25797 70632\n3049 29996\n6184 80888\n376 89019\n30604 85860\n2516 7173\n3024 10259\n4632 41802\n18241 98624\n40398 65784\n1276 28350\n56684 57940\n17768 46020\n24639 61167\n69799 86924\n12493 56993\n21788 96699\n26710 27508\n35548 87506\n12272 16008\n10684 72542\n29758 96832\n15238 81727\n51218 85553\n6823 53470\n12507 89940\n75 12107\n23584 47185\n19015 96555\n38878 42770\n18311 82654\n44567 56778\n9408 51568\n9374 81099\n2262 10051\n27689 77831\n33965 64790\n71181 82596\n9457 88099\n2923 34367\n9635 24390\n40439 97446\n25116 29067\n26539 72311\n512 15515\n32881 54337\n23158 66232\n28353 50924\n20390 41790\n44893 59653\n61032 97420\n19967 64067\n36347 37455\n29828 33796\n6343 39782\n84890 97752\n25066 72051\n5338 60799\n54924 60306\n55609 97708\n16333 83193\n44964 81174\n37596 85006\n86121 86884\n303 6757\n22154 86807\n9485 34661\n38537 70999\n31782 37895\n41274 51782\n78192 98268\n3088 91496\n82540 88977\n14320 27656\n26574 45404\n18433 34870\n21503 83087\n55696 81398\n31508 46750\n46188 58078\n23810 40200\n24463 51068\n89385 99656\n27170 32790\n56052 88667\n13606 82855\n66921 84067\n6744 26261\n1400 62532\n43130 91384\n19771 44454\n46068 82124\n91306 96109\n12059 34215\n57673 58881\n68098 73754\n16769 74212\n11414 95261\n24489 41554\n22979 93323\n43601 73828\n85432 99321\n54454 74240\n2570 71219\n11778 22182\n9275 81732\n46595 93487\n33067 81583\n23884 69808\n28648 36509\n33123 61988\n2041 72890\n32944 59881\n16512 88171\n92720 98164\n33143 89238\n5198 80998\n78669 95523\n81810 87683\n18446 92550\n55665 65728\n44265 49014\n8582 14799\n18521 68965\n28190 96275\n84619 88152\n31315 52752\n60421 99197\n18154 69688\n73316 90990\n28157 60593\n61467 73235\n33469 49864\n4400 38738\n44015 90795\n23557 74174\n22689 57880\n26428 33179\n33771 97977\n30507 38225\n73075 80338\n53004 77962\n52015 70524\n34558 97942\n2163 54068\n29196 37756\n31556 69195\n3301 69268\n11267 27973\n15742 50720\n20712 52167\n18512 70427\n31376 58764\n55045 68306\n51659 61297\n60504 94577\n3029 56241\n4354 17067\n24031 41256\n45205 86464\n49772 90036\n11294 70427\n24629 27438\n41478 59005\n13646 43832\n71107 79777\n5288 86710\n8171 77486\n87969 95726\n3484 16281\n84614 90859\n13583 99980\n29182 44828\n21645 69499\n3320 6147\n2676 31395\n43617 75481\n20974 41551\n26716 30967\n42921 82870\n84811 89476\n5644 80826\n36738 51546\n20353 27365\n39291 72088\n31182 44151\n6610 97351\n31987 40451\n4976 99098\n17401 52155\n40822 95160\n32700 46076\n41686 78921\n50583 94924\n52481 79495\n32119 35294\n56433 95243\n42623 70183\n31959 83448\n2248 53211\n76299 92721\n34168 81341\n42968 89330\n30350 84497\n61973 81732\n38432 93747\n50599 69131\n16772 57962\n5839 63544\n21804 31824\n2813 86789\n28514 76533\n56152 58426\n55957 76887\n34556 72748\n1543 40132\n19576 73778\n17922 86353\n61709 92101\n71622 98688\n70023 92939\n5166 43740\n18709 93374\n10790 35162\n51830 82495\n7063 92520\n39820 56488\n48117 65873\n1998 84366\n31736 63860\n6802 61380\n50675 80595\n38759 43071\n22970 79252\n25997 75520\n49619 91089\n6062 72710\n46608 70557\n53491 97250\n65098 72608\n33309 34049\n1372 6106\n76184 76590\n61206 93543\n36397 49501\n28663 87436\n53897 87895\n59915 72554\n38676 85363\n22644 97690\n61926 81814\n3212 97174\n68785 94972\n31392 98173\n23838 83537\n16977 73296\n30164 72671\n2425 56421\n19485 69655\n20911 84056\n50206 74692\n61481 98336\n47972 58543\n7184 50300\n64149 83738\n16457 59007\n59339 71100\n12345 78525\n31024 61488\n11372 63454\n13551 59929\n41493 72350\n54062 92231\n70257 78185\n44689 93024\n47574 97795\n240 86321\n30238 81553\n71614 72065\n66808 76847\n7213 46674\n11465 51403\n44889 84520\n67307 75544\n41444 76736\n51902 75646\n49766 82166\n29752 89724\n45412 93898\n1802 69255\n16915 94729\n9255 98858\n82251 97410\n385 94237\n62850 96088\n37653 77461\n32952 97257\n64440 87667\n23335 91585\n20624 64961\n52156 82442\n7904 53162\n30591 99552\n38272 52196\n42059 49871\n31787 44449\n23918 96354\n8772 34432\n74075 99683\n4482 12065\n22252 95486\n9393 27010\n71064 77621\n1447 69196\n16291 28451\n20858 53393\n59064 69118\n64617 80425\n6788 40358\n90215 99626\n11547 68040\n62469 99691\n17432 49230\n10788 84316\n13440 43819\n1606 50829\n20767 72554\n5185 69475\n72960 92099\n17331 84159\n17095 74107\n30105 50403\n82812 95489\n28456 56160\n25702 85352\n28398 63771\n3997 14725\n17150 96576\n22454 86260\n33039 77635\n33138 99616\n56375 83017\n63714 65201\n14951 82366\n30017 35782\n15780 59207\n56234 90939\n26584 38743\n46689 57758\n25061 91916\n20683 64957\n16849 28705\n15625 67744\n7787 96615\n73511 78547\n11078 95832\n36885 46667\n718 59124\n46821 86750\n67427 82472\n43881 77031\n50033 58226\n11443 80271\n45218 67467\n43957 80180\n6512 6597\n12968 26931\n65928 69628\n22724 75849\n71822 77651\n50256 88848\n17279 85540\n557 73479\n28805 92663\n12034 88206\n7670 9716\n18835 75592\n516 95888\n57216 77292\n23386 40755\n16915 88198\n1805 62155\n30583 82943\n59924 74186\n5647 55537\n4867 81071\n7250 83975\n66891 82173\n4709 93362\n48164 88518\n11558 89031\n8848 41560\n2562 43091\n588 35875\n49667 69261\n32325 81597\n27056 76501\n64071 70653\n21920 91097\n23040 75092\n35821 71585\n27606 30817\n81654 98254\n60030 88317\n60456 92255\n63782 68054\n70651 84850\n9805 47230\n46315 62187\n43175 91724\n40348 62018\n27735 99734\n1208 36613\n45623 56980\n16 74692\n71449 72285\n43628 85949\n41934 64712\n26869 94707\n6783 26933\n10644 23222\n37520 42716\n36173 58772\n36663 72779\n23616 94882\n61824 92942\n54562 55027\n12955 48853\n7944 81564\n13025 31398\n54897 76714\n5943 45183\n12031 58404\n17324 53179\n11793 95765\n2674 24306\n24472 66720\n45923 75766\n11782 69989\n69403 81962\n7148 93299\n54643 71784\n51587 59236\n36903 67710\n7126 47782\n31643 77086\n83166 96292\n28590 75176\n34934 95425\n15814 76232\n46991 92496\n47910 61292\n50764 53549\n9846 51563\n38806 71873\n11868 33260\n33626 40813\n69224 84663\n50462 93570\n59123 87936\n61593 69083\n19944 66752\n20965 50981\n84396 86553\n33232 86199\n62191 75997\n6681 8891\n7112 77949\n56899 59400\n863 8878\n23348 34943\n33972 65029\n54103 67460\n84328 93397\n611 90719\n22801 92945\n11497 89076\n37387 58986\n21136 97085\n83248 84277\n78600 82703\n50355 64929\n31974 37118\n93181 98509\n30073 35396\n22586 98959\n12246 12929\n72504 75595\n26924 72502\n76911 83131\n58709 67303\n54487 98261\n1270 5977\n10524 33933\n3020 47248\n21265 96970\n8245 55872\n30441 36788\n38107 70011\n76894 97351\n31558 38064\n53495 81215\n15802 68811\n26414 42914\n39997 62106\n46932 93687\n60337 73506\n37683 74625\n34734 98083\n65213 82139\n78607 88483\n13740 70507\n60083 71242\n70289 92896\n68889 98000\n10990 27129\n52232 60926\n42332 62188\n29498 67176\n37905 94344\n37647 99450\n43510 76282\n28132 59840\n1465 30712\n31521 97425\n29056 48907\n12941 82303\n21601 90727\n87728 88076\n77714 89363\n12429 52880\n46327 58566\n3207 55925\n17119 28392\n35451 71183\n25339 92374\n33065 47395\n24712 91487\n88045 93723\n6857 68503\n50207 76841\n65402 92068\n31823 50800\n4259 77443\n53406 86967\n11796 38357\n17954 95775\n40511 83395\n27637 40957\n359 96505\n24162 72712\n54490 75020\n52335 66513\n4999 92629\n42752 54568\n52951 56748\n4147 68012\n79537 80613\n3576 80087\n11412 39837\n13032 94508\n60131 71172\n5096 17327\n705 67038\n9648 13020\n13136 56590\n10173 80610\n45971 51076\n59965 60664\n16687 25388\n31885 63997\n18063 77436\n7308 25127\n1031 57253\n58975 91787\n7168 27372\n19162 43360\n61703 75758\n52165 61743\n1093 39644\n68742 96715\n34296 73232\n11520 61960\n84561 89241\n47599 58221\n62087 63473\n9989 68554\n13626 37240\n13172 62810\n17745 58347\n51642 92462\n18060 45685\n32695 49831\n40944 97864\n4566 81809\n40947 78223\n88843 96138\n24497 86416\n15 9973\n2231 23849\n21790 55975\n43329 69833\n18470 65155\n21996 69082\n61238 64737\n40861 51357\n19497 68785\n31234 91326\n78989 90887\n55366 82502\n65824 90600\n15127 39445\n18170 96735\n24429 73775\n86220 96740\n62269 63549\n55016 65871\n42028 60414\n57956 75276\n52461 94524\n28809 35653\n51776 65083\n34508 93921\n62990 80789\n18612 63969\n34251 65704\n27214 42730\n36715 52795\n38997 54528\n20446 98521\n18342 41178\n18735 61983\n54692 74115\n24359 83259\n54963 63154\n27650 66017\n22398 96963\n49091 90016\n37834 47423\n1750 85183\n68540 84834\n2562 44646\n36391 67971\n73369 95175\n98434 99716\n72461 99530\n33646 63567\n31265 58934\n37243 88011\n19236 62102\n83886 98948\n12581 33232\n80764 85719\n19033 44387\n25915 56413\n57745 67867\n7537 76687\n16419 31733\n30765 94537\n27141 98395\n80602 94081\n8806 14385\n22656 76991\n54900 92473\n33690 63861\n81872 92291\n53006 60306\n37854 46179\n52088 88074\n63672 88127\n15696 20643\n43272 43515\n7680 78017\n53604 85073\n33566 89712\n10428 50072\n6829 58373\n19123 95085\n9813 25394\n5393 34723\n35347 55969\n10083 93887\n25393 70462\n35979 76450\n70785 99988\n11833 41011\n28196 97786\n50630 59064\n12998 20301\n17317 71364\n5213 61251\n22853 32660\n45292 52393\n33515 62007\n15636 20417\n31387 90658\n36136 80717\n54389 78466\n33490 98187\n24793 95769\n15785 36339\n46245 60195\n25404 27491\n1231 50842\n28868 74018\n58662 66833\n3524 28939\n26002 47066\n29297 47606\n58001 69674\n5205 73915\n21035 82808\n545 29816\n13457 86614\n4448 41330\n62976 70537\n39081 53427\n42101 72812\n42716 82423\n48634 65768\n19265 85321\n49072 58852\n59604 98430\n10047 98777\n63817 86503\n34098 73028\n46890 84656\n57326 87372\n14512 94753\n19730 81158\n2577 21583\n26663 57295\n24912 26713\n26802 90477\n1032 57048\n17691 83008\n55956 90080\n28737 72557\n39881 64138\n13865 37591\n90797 92573\n3854 37893\n25302 36097\n54453 95090\n22700 29497\n73962 95143\n24314 36303\n21790 62129\n44603 77452\n90184 93114\n32144 91047\n84334 92541\n6373 20817\n43332 79206\n58652 95765\n76944 97208\n37398 81877\n42378 45127\n12399 96660\n88817 96889\n46632 99160\n14312 97086\n68463 96305\n22303 97956\n2259 56294\n24822 37403\n64284 68595\n81477 97233\n43818 57549\n29198 70453\n25470 26731\n43652 82351\n24457 59114\n17432 89107\n10377 53325\n18426 90353\n36157 60371\n65453 73778\n13795 83063\n54166 87668\n45793 54310\n3549 77436\n38065 52136\n30448 60880\n3208 71082\n7437 95419\n45506 49289\n46052 71427\n34964 99513\n21134 69265\n10898 74127\n1976 84932\n36065 52724\n8533 71317\n31368 34828\n58138 71441\n23796 94013\n36898 75494\n25492 67268\n12662 99370\n35631 53456\n44281 51284\n76902 90136\n4618 63460\n84364 90009\n18122 80883\n58606 81715\n73140 78077\n32038 71954\n22360 71392\n72222 79006\n49882 93742\n1516 37794\n3793 21226\n18594 59649\n11384 18829\n44295 83274\n28921 40997\n49653 73927\n91793 96704\n65834 97577\n37229 38378\n32315 47968\n45426 93045\n7063 29674\n51162 82071\n68259 70832\n9624 26578\n49251 64651\n25516 68049\n8545 54924\n7666 36693\n5302 82099\n29435 39494\n2540 28014\n16870 45197\n20093 29367\n2579 94006\n43407 76421\n78560 98105\n34694 36266\n40583 41741\n74480 76605\n41600 68811\n20154 36341\n36172 83911\n3875 31142\n5874 28876\n1774 50916\n50539 76983\n67574 93461\n23893 73577\n4645 71302\n83767 84628\n18225 84333\n76829 99054\n57350 71041\n66350 74759\n40605 91986\n50205 71307\n75131 77638\n17661 61724\n17496 68484\n31593 53064\n77836 84623\n11218 62406\n28402 72774\n58833 83511\n51467 64808\n19915 80001\n19939 26187\n45846 52893\n37855 37999\n3827 13183\n34391 91816\n20869 27804\n10760 95018\n52428 85135\n22045 24789\n32392 79409\n7716 24649\n29681 93476\n34897 59723\n57025 64251\n11181 47422\n37751 57982\n12239 62322\n72814 89228\n36011 69410\n24804 63420\n63013 70548\n79419 90721\n15224 88186\n15179 78864\n59530 92818\n12321 20728\n17326 84355\n93263 96215\n73816 76274\n28542 91983\n10502 89407\n3554 76448\n60545 67096\n55596 58684\n10547 14431\n5828 87259\n7274 8430\n20762 33677\n33505 63617\n15132 49303\n83979 87867\n9317 73864\n44306 56822\n1004 35593\n5667 6687\n6602 84715\n14004 59859\n46696 66089\n6777 14350\n49267 84101\n59016 84562\n20735 82578\n60633 63369\n74152 90095\n38801 65643\n37280 58555\n25832 45138\n80286 98391\n43979 70234\n15229 62868\n4064 38531\n32909 58459\n63285 85962\n29220 96479\n18564 76382\n49157 66124\n30742 33697\n427 20897\n24353 34835\n49110 89079\n54659 87902\n24624 25202\n901 51974\n2912 25390\n15100 28581\n15008 29467\n3495 9337\n30417 71210\n43254 56792\n13876 74537\n16606 38212\n31517 88478\n12666 84287\n88846 94411\n6789 29089\n15698 97389\n85863 95758\n7788 30443\n52881 86023\n20144 23844\n1012 86283\n37544 44530\n24038 95808\n66601 73388\n655 38582\n54432 93081\n27786 53737\n1694 3750\n55737 94517\n31529 43332\n80364 97742\n44014 47347\n12316 44820\n50039 95952\n41168 94195\n78628 83397\n44123 78729\n11772 25961\n30528 69998\n15384 93124\n7488 51021\n85563 89061\n28979 55541\n42402 68026\n7044 85875\n1262 21142\n18406 39336\n52081 56322\n32164 94451\n97187 97527\n33605 99391\n16133 93644\n24957 34954\n2641 84689\n12245 90237\n50224 60840\n4386 72678\n29346 38927\n11075 92034\n29140 70414\n41781 53503\n40077 62363\n35710 73779\n24227 95366\n52091 52181\n57524 84307\n25734 90331\n59977 89010\n12025 40978\n22963 94668\n18422 42164\n47262 50396\n71307 81705\n39019 80559\n63371 97218\n21777 47042\n29672 64167\n48208 91560\n4682 28083\n63249 79034\n49926 56339\n31606 33557\n68679 90614\n68318 82440\n20105 77932\n26193 82972\n1746 64343\n60093 91895\n17061 43221\n23126 88286\n28085 59542\n5339 97344\n10936 44524\n53741 67302\n18700 57288\n22432 44301\n3701 88677\n6444 12770\n57903 87601\n65042 84815\n47474 87069\n42812 55929\n15079 29283\n39232 80370\n8893 83579\n4890 36419\n59104 93086\n82389 97158\n7755 99588\n27441 88183\n38726 73692\n36013 75106\n78082 89702\n20054 89572\n12269 89168\n26227 48181\n22994 84940\n51206 91521\n24047 61900\n36400 82117\n33559 60087\n36058 89865\n83162 88671\n51149 64607\n14100 86419\n26664 91851\n29096 74751\n59500 78705\n24297 55517\n86798 93098\n43208 70100\n30067 93411\n60315 99285\n25087 28160\n36267 59047\n67211 87175\n44670 54005\n49724 71553\n75379 93277\n41156 49745\n15710 99191\n19170 65195\n22243 94714\n27054 59896\n9452 20274\n60044 92134\n591 52906\n27907 43554\n2240 86046\n19319 30058\n4161 9968\n2761 37353\n13154 48195\n72001 85041\n23297 70384\n38798 81465\n25481 60409\n69469 98647\n13182 22076\n15919 71042\n55988 84718\n2078 10123\n76513 90869\n56355 84788\n45804 75526\n31332 41020\n24880 70398\n2161 67544\n49362 83115\n73967 79974\n3530 36709\n24578 31379\n21367 50968\n33727 80291\n1964 46990\n26792 40433\n56630 63590\n15366 31329\n20776 79436\n29560 53336\n11015 31282\n10062 93446\n28178 36016\n33505 49345\n33572 34805\n18874 38701\n33603 48525\n39729 56067\n44137 91941\n34809 83505\n46903 82751\n60647 96740\n10400 87136\n18064 50786\n73904 99416\n23724 86420\n16844 73233\n41065 95044\n67345 72259\n5617 43826\n2974 9742\n37803 38315\n15323 89217\n39807 48391\n11030 92734\n72541 80276\n92743 97047\n48516 63190\n43173 66022\n31320 33086\n97686 98827\n5152 94969\n22825 24949\n7138 36009\n58607 69571\n50818 78159\n18123 74217\n54211 81159\n43436 86725\n2533 85872\n10336 96020\n47110 87791\n38757 68205\n47079 51226\n20567 71045\n13660 34032\n643 83932\n15506 74779\n14535 75381\n24021 55485\n59229 78177\n23768 36463\n1239 37391\n2479 90586\n128 46732\n29403 47936\n12106 77062\n4613 30936\n53990 65505\n12080 63765\n16698 38143\n25787 62030\n88861 92339\n68224 89963\n88857 95240\n63879 96996\n9871 88694\n51338 58291\n10424 21583\n16739 68057\n60486 72123\n8170 90331\n41000 75795\n22262 65069\n53797 76893\n20275 80755\n44606 85260\n3559 78513\n62044 95375\n14237 66816\n20922 52006\n21735 78118\n1445 1781\n9227 74217\n28825 29826\n38098 66542\n98354 99418\n43296 51964\n38898 43586\n4208 82757\n5281 75310\n55604 74843\n78354 80046\n67046 77215\n3438 92582\n46272 90388\n26233 84994\n54136 84963\n14468 70385\n46637 80838\n34221 61430\n27669 91130\n14283 25171\n73576 91850\n30079 69695\n20782 54442\n36274 40438\n12482 60155\n3972 34823\n52790 55315\n2528 26976\n10416 24992\n51352 62383\n20699 68354\n46994 98357\n26691 76238\n19636 26215\n46237 70453\n29404 94944\n34171 71297\n15958 99885\n40550 54758\n19874 94111\n6518 29052\n14216 61616\n1310 27583\n45051 60404\n20860 70765\n20830 79073\n30808 94552\n40112 51597\n39744 79728\n24016 37179\n18695 76524\n48907 87770\n67479 67927\n29907 56324\n64523 72563\n63794 83235\n50053 60001\n12943 58929\n87703 89150\n62869 81800\n14726 59713\n23823 90413\n4946 70589\n4533 64967\n30049 55456\n22278 51682\n32059 86070\n278 638\n79631 89243\n33048 38682\n26357 99528\n74755 99586\n2423 63882\n68427 80888\n72646 85517\n43438 84536\n25210 76206\n45147 99162\n7684 7797\n4461 13642\n5213 7695\n35810 56815\n49091 60813\n4303 45111\n44314 66886\n24857 44721\n11931 95778\n2444 69509\n51770 79379\n77800 98045\n5039 55047\n21830 21858\n39031 58381\n19685 65279\n10083 45586\n24854 37203\n18353 78791\n60282 63047\n48845 75986\n14503 30149\n70973 75305\n18615 34303\n25484 53673\n85275 91346\n53301 55673\n68682 87780\n47575 89044\n83230 83770\n74421 87723\n15431 33242\n3666 43257\n28638 67122\n19161 24213\n52263 76999\n40316 67844\n2425 5516\n1445 93855\n49394 88410\n1497 83565\n9929 28991\n2677 14602\n65284 80909\n46906 88311\n82281 94531\n11504 34122\n10650 95362\n63548 93995\n20145 33228\n34814 46308\n76459 93535\n48754 81199\n20499 28812\n16527 45253\n41407 89871\n41408 69000\n41142 60801\n52681 64285\n6942 87203\n30492 89572\n35051 61668\n8140 79724\n10454 98607\n54250 91438\n9392 47479\n210 10593\n9932 74409\n22426 94469\n19904 42394\n56533 61275\n55463 94836\n591 52273\n75215 75866\n1017 14795\n79841 90547\n43373 71815\n30458 62247\n32418 33577\n14080 94162\n60329 64270\n17922 20581\n77736 91534\n82316 89603\n1011 96845\n34046 77696\n53787 87784\n37914 38706\n36305 81027\n55083 98427\n68586 89949\n8073 82622\n27746 95521\n52115 72833\n669 62833\n8873 68507\n8268 75299\n47940 64982\n8156 58376\n1661 89328\n53648 72689\n9180 93367\n9370 97332\n10395 17578\n26895 88614\n18866 68278\n40074 51172\n15286 76240\n37158 73399\n69159 89718\n9541 41449\n33755 35928\n39862 87486\n23204 59942\n10631 80022\n32794 84551\n15247 75972\n40988 99756\n31077 99290\n46741 98101\n64315 81108\n39366 74403\n16497 41079\n6106 64455\n59369 90199\n32114 84551\n8125 82795\n54364 64154\n9163 21729\n36554 93204\n3399 82693\n76016 91663\n13256 22552\n3315 74913\n9004 35342\n25068 64311\n60224 82646\n43572 47085\n71652 92070\n51064 84425\n8887 74290\n684 44322\n77210 82077\n18117 47507\n19085 32543\n61323 65299\n69205 70806\n26794 73135\n21272 92895\n16195 72014\n4998 9364\n23119 83556\n11064 50285\n39252 61816\n58824 95697\n26430 59415\n683 38708\n271 21219\n12522 82149\n18756 42994\n59435 66939\n55347 92052\n36230 85024\n23695 78681\n70049 85948\n2742 17801\n67854 68437\n67594 92242\n26153 72615\n21208 81270\n48264 89883\n27504 46831\n46527 95090\n33771 90629\n49509 59430\n25327 48912\n28041 95176\n34672 95436\n11231 20410\n69578 85783\n74943 99087\n27641 77935\n39473 52887\n6244 13954\n5453 8251\n10104 39419\n29386 61682\n5374 43288\n52667 69709\n7201 31987\n36112 90628\n38943 98333\n73977 98103\n37364 95661\n68152 90631\n40473 65099\n13959 96859\n1182 1466\n41150 96683\n53565 60698\n58296 93721\n68048 68603\n377 10584\n61498 69106\n58513 75792\n15588 60817\n60836 99760\n1489 50372\n74228 94339\n50097 83139\n52140 64737\n26436 29681\n5413 48927\n25525 47251\n4705 32902\n63562 82646\n25295 44934\n22998 75886\n7420 25958\n37856 83807\n46304 72285\n39431 69865\n16805 43669\n28208 51585\n25268 80587\n3537 71513\n34657 40526\n6418 41573\n29926 33350\n20682 94221\n60871 83133\n21236 61036\n1679 93948\n259 10685\n44013 52686\n32892 81377\n36885 57224\n11481 89002\n62973 73214\n22687 85044\n7155 87076\n65945 78442\n25371 63165\n47331 93744\n1811 21854\n2430 91486\n25403 39344\n60882 99471\n96183 97132\n40101 97551\n15204 30279\n4211 73788\n89150 99522\n56463 75235\n19897 49813\n29923 36718\n23224 73067\n48688 52472\n23779 48746\n39864 57014\n20891 70859\n48952 98245\n76699 79169\n45936 82054\n28899 79546\n59340 77693\n79509 91793\n37792 70364\n17915 81446\n44503 84255\n75712 80975\n6670 7274\n30406 72232\n6122 68811\n706 31507\n5103 35333\n18952 74114\n6864 55408\n11866 34839\n13985 16588\n39737 98394\n23497 39528\n47019 60977\n52833 72014\n78623 82958\n31692 79222\n59441 73379\n55269 93141\n11938 13315\n85413 94882\n54006 67370\n87971 94474\n40530 82903\n68596 89156\n6984 81027\n22201 50523\n76697 88427\n11774 37456\n20685 29759\n34743 56137\n6735 20404\n80296 82357\n36209 87351\n24492 47487\n35066 47482\n43926 51528\n21203 75207\n22864 91926\n22361 44073\n67562 75831\n27766 95932\n280 77819\n4716 80745\n38947 48333\n82471 97989\n61417 84715\n36934 54268\n5692 11374\n27041 59243\n4234 85331\n86496 95049\n49605 69066\n52397 69600\n6846 91610\n55020 71581\n22170 44594\n62519 95876\n27183 97203\n75462 88429\n57329 86659\n8038 68513\n11819 81253\n17419 67876\n58445 59206\n12803 97081\n31938 90705\n82592 82616\n3664 79737\n190 52571\n30626 31148\n26521 70736\n66302 82833\n33946 44213\n72454 89511\n85 9497\n7365 95760\n24091 30089\n67587 97487\n38582 75156\n13701 24255\n41777 50409\n47796 95818\n20093 34899\n15658 78439\n13566 96770\n39580 48294\n11438 48247\n8983 14468\n76112 81866\n88977 91520\n9975 63130\n5278 62178\n57493 73751\n60040 70800\n79683 95531\n55326 56500\n19700 23667\n80855 85633\n27937 47424\n5244 60617\n27983 82601\n37262 92299\n22756 74586\n90364 93167\n24126 34558\n49293 94077\n51911 84921\n21095 36115\n26570 65060\n12299 77276\n35760 57323\n93448 93837\n33668 90815\n25517 47551\n4990 31947\n18906 79282\n20178 75186\n27816 45129\n48193 79861\n76724 86830\n25919 35681\n27890 39900\n18301 76581\n66155 74270\n43102 64482\n1573 64441\n38687 57090\n23701 63206\n86759 88077\n28543 84982\n16651 48479\n24700 36582\n90300 90965\n32502 95765\n65637 80994\n32418 55204\n7400 16206\n36460 41222\n29361 86816\n16588 42814\n74612 91350\n14857 54552\n12930 45622\n7646 33261\n11525 79775\n56740 93455\n17003 31664\n58852 96175\n16443 96517\n20659 25712\n26722 52394\n49999 63351\n74913 85458\n24778 67834\n18707 30734\n38922 92219\n36326 70185\n2798 67751\n6440 12462\n24749 66787\n25729 81642\n45912 88362\n4780 41782\n39904 44068\n25614 27223\n1597 66937\n45186 59765\n18067 83174\n8924 90766\n45502 59294\n34237 91346\n22331 76523\n40226 75658\n19583 48990\n4074 69680\n10155 22143\n15970 94602\n9064 13807\n89171 95397\n5838 52898\n34003 80905\n5739 56813\n32566 69882\n81225 96585\n15105 94179\n90041 93981\n33896 95891\n39487 69410\n2762 97395\n19457 33115\n67971 73370\n654 5010\n27328 29447\n115 30116\n10805 89437\n28086 30361\n19333 65092\n28054 41219\n67859 84629\n4815 92363\n22566 30663\n3404 48006\n31225 97512\n17532 41868\n83439 83744\n25834 52725\n82475 92417\n26574 85063\n43444 70087\n1100 55696\n10400 77904\n20420 67877\n",
        "output": "365\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 102,
        "task_id": 541,
        "test_case_id": 35,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 99999\n21030 31526\n56512 84755\n93090 100000\n92698 100000\n28396 42568\n52169 78264\n52391 78590\n37822 56684\n44665 66939\n37750 56578\n56449 84661\n65179 97772\n49481 74210\n23744 35623\n43740 65539\n6838 10325\n50524 75780\n88081 100000\n27647 41448\n35065 52588\n50836 76263\n67951 100000\n13103 19705\n51748 77627\n79534 100000\n1759 2635\n77377 100000\n61510 92288\n54156 81241\n32142 48198\n43658 65416\n77570 100000\n22021 33051\n43745 65545\n18510 27738\n42592 63834\n64396 96611\n1556 2343\n28790 43154\n31870 47786\n93591 100000\n98449 100000\n29811 44696\n90256 100000\n91502 100000\n11376 17129\n3421 5143\n42849 64201\n52230 78354\n11769 17706\n24280 36407\n51107 76680\n43730 65522\n94425 100000\n34584 51876\n20060 30087\n94080 100000\n62798 94212\n3348 5029\n34884 52320\n29148 43697\n50849 76283\n76783 100000\n37209 55783\n63114 94709\n88091 100000\n66070 99104\n93780 100000\n48889 73320\n43263 64830\n85058 100000\n35729 53578\n6292 9505\n733 1096\n63541 95334\n30211 45277\n35893 53824\n60704 91074\n82228 100000\n24435 36636\n2313 3475\n98834 100000\n39998 59939\n88445 100000\n60131 90225\n60345 90537\n25739 38596\n27877 41794\n43828 65671\n90951 100000\n85368 100000\n42042 63017\n41662 62448\n26306 39449\n40014 59960\n23545 35320\n64983 97484\n8963 13483\n79354 100000\n8644 13017\n22536 33817\n6466 9763\n57242 85875\n26406 39601\n73761 100000\n36561 54834\n68852 100000\n5573 8408\n44533 66742\n81668 100000\n56487 84720\n70032 100000\n79856 100000\n67744 100000\n9028 13586\n53051 79576\n23667 35510\n53910 80876\n84789 100000\n65037 97565\n96519 100000\n41296 61887\n66598 99899\n63764 95667\n4574 6880\n44516 66712\n44658 66928\n1446 2175\n73945 100000\n78159 100000\n57368 86070\n81441 100000\n4050 6079\n68918 100000\n43532 65227\n92322 100000\n13508 20285\n18721 28069\n95587 100000\n93286 100000\n83601 100000\n99153 100000\n6435 9719\n33898 50833\n32910 49358\n10059 15157\n29360 44017\n85471 100000\n31544 47291\n1332 2003\n54124 81195\n51396 77113\n8622 12987\n5193 7836\n5404 8155\n93877 100000\n47076 70594\n27925 41863\n48370 72533\n96409 100000\n53176 79772\n91082 100000\n46604 69881\n51511 77273\n24213 36310\n71373 100000\n64318 96496\n36917 55362\n21433 32139\n88810 100000\n57397 86113\n76687 100000\n73965 100000\n8012 12068\n49025 73523\n1860 2783\n46882 70305\n26383 39563\n27200 40770\n53642 80476\n84863 100000\n72397 100000\n48447 72651\n60197 90324\n10671 16072\n62649 93992\n97242 100000\n62498 93758\n77383 100000\n92667 100000\n85611 100000\n66447 99671\n50914 76386\n62309 93474\n87402 100000\n40495 60677\n1241 1867\n20530 30785\n12624 18997\n70130 100000\n31253 46852\n95488 100000\n28367 42523\n40637 60891\n94098 100000\n75197 100000\n48209 72296\n19820 29719\n53023 79534\n72343 100000\n36793 55180\n42926 64314\n63167 94792\n6118 9237\n18156 27213\n95557 100000\n72550 100000\n1557 2345\n74349 100000\n3935 5910\n62459 93699\n99787 100000\n1814 2715\n91088 100000\n14209 21324\n54312 81476\n61818 92742\n8131 12242\n87311 100000\n95358 100000\n12510 18828\n81133 100000\n2422 3635\n40447 60610\n55662 83475\n25608 38395\n21366 32035\n43599 65327\n50720 76082\n35424 53125\n33623 50427\n80152 100000\n96028 100000\n73068 100000\n87071 100000\n11350 17087\n15325 23000\n47644 71456\n56026 84023\n41963 62898\n63763 95666\n22326 33511\n31721 47563\n95501 100000\n73574 100000\n90259 100000\n82382 100000\n22149 33245\n76708 100000\n35395 53081\n16965 25445\n54184 81282\n75152 100000\n63066 94634\n21938 32922\n16983 25475\n3327 5001\n38531 57745\n6289 9500\n53397 80092\n36149 54209\n86861 100000\n49731 74594\n91051 100000\n70729 100000\n52812 79216\n11807 17759\n27934 41877\n10665 16061\n88430 100000\n78726 100000\n47926 71875\n49488 74221\n14966 22455\n81581 100000\n45471 68135\n6418 9693\n69261 100000\n98976 100000\n27505 41228\n62717 94090\n56126 84170\n62780 94186\n72287 100000\n79891 100000\n89571 100000\n90521 100000\n5454 8231\n58584 87881\n53309 79965\n74554 100000\n41399 62041\n91723 100000\n72711 100000\n76012 100000\n78589 100000\n54219 81334\n10017 15091\n64584 96887\n56191 84278\n5811 8763\n61701 92568\n61406 92133\n51245 76888\n86892 100000\n78809 100000\n6512 9840\n52773 79154\n30391 45539\n200 296\n3662 5497\n97507 100000\n9734 14644\n12757 19197\n85069 100000\n23108 34670\n85056 100000\n6684 10098\n20751 31116\n87507 100000\n86057 100000\n31990 47967\n77904 100000\n80844 100000\n25206 37790\n61629 92458\n53780 80683\n55460 83177\n9258 13926\n71459 100000\n51002 76526\n19849 29760\n6089 9196\n67628 100000\n47577 71351\n46790 70169\n73231 100000\n91091 100000\n62103 93170\n79236 100000\n58127 87209\n98155 100000\n98649 100000\n45265 67827\n43009 64441\n34908 52358\n40166 60191\n70413 100000\n15778 23673\n4187 6291\n35078 52605\n84282 100000\n11744 17673\n4269 6421\n31781 47651\n98595 100000\n46477 69689\n85590 100000\n4453 6703\n55850 83759\n9355 14072\n46285 69400\n14036 21065\n11452 17247\n1851 2772\n56287 84419\n69653 100000\n65192 97794\n80263 100000\n56482 84713\n958 1438\n10417 15690\n23898 35841\n64999 97509\n64462 96710\n93306 100000\n12952 19471\n67647 100000\n60300 90470\n48112 72145\n17045 25573\n16840 25256\n81256 100000\n28563 42819\n97769 100000\n37538 56270\n47811 71706\n77969 100000\n50803 76209\n60776 91171\n35111 52652\n24229 36334\n63587 95397\n43375 64991\n62905 94382\n64085 96146\n15859 23787\n46061 69049\n70034 100000\n50632 75938\n99187 100000\n7403 11156\n91308 100000\n59648 89494\n23806 35709\n86199 100000\n82882 100000\n81562 100000\n70282 100000\n93897 100000\n11912 17921\n54185 81283\n34096 51132\n53140 79716\n58917 88373\n76356 100000\n3566 5354\n59339 89025\n42027 62995\n75324 100000\n38223 57278\n84932 100000\n72605 100000\n27408 41076\n61502 92275\n75267 100000\n13541 20334\n77500 100000\n46143 69170\n75527 100000\n4227 6353\n25003 37485\n47496 71232\n16248 24383\n43782 65599\n29564 44328\n46328 69462\n90131 100000\n66990 100000\n76199 100000\n3392 5096\n95098 100000\n67232 100000\n3552 5331\n20086 30126\n77520 100000\n43428 65072\n7741 11673\n75801 100000\n8934 13440\n74635 100000\n18508 27735\n97404 100000\n49205 73786\n78505 100000\n74369 100000\n18930 28376\n6731 10169\n71369 100000\n69472 100000\n74678 100000\n84977 100000\n30743 46085\n88681 100000\n42395 63547\n18285 27401\n59552 89347\n47868 71788\n57856 86792\n97195 100000\n14615 21935\n43153 64655\n18836 28234\n41868 62755\n3117 4684\n61216 91845\n12647 19032\n12518 18840\n58518 87783\n70502 100000\n2538 3814\n43549 65253\n60979 91488\n87019 100000\n68816 100000\n51356 77057\n46138 69164\n2096 3143\n91563 100000\n80943 100000\n40811 61160\n77422 100000\n37390 56059\n65500 98250\n72947 100000\n27644 41442\n94982 100000\n89699 100000\n3058 4596\n70802 100000\n42176 63217\n83232 100000\n43673 65440\n44111 66100\n87764 100000\n85989 100000\n12716 19142\n24758 37114\n88177 100000\n24728 37073\n98253 100000\n3038 4568\n2111 3166\n74606 100000\n15506 23270\n94975 100000\n91468 100000\n10614 15986\n80359 100000\n94284 100000\n34126 51175\n50113 75155\n26433 39638\n62134 93218\n44017 65951\n34561 51839\n73307 100000\n33082 49629\n25041 37549\n72146 100000\n59107 88667\n62031 93061\n422 624\n33497 50244\n22005 33026\n11383 17140\n24255 36370\n54042 81074\n36244 54347\n20205 30306\n87147 100000\n82093 100000\n64220 96345\n92663 100000\n89616 100000\n27860 41769\n6579 9937\n82391 100000\n46415 69598\n89204 100000\n77655 100000\n16423 24650\n77119 100000\n39536 59229\n89585 100000\n27197 40764\n35953 53917\n12379 18629\n83736 100000\n10266 15465\n78313 100000\n56002 83986\n84569 100000\n43563 65272\n58494 87748\n47978 71945\n15145 22729\n41814 62671\n33350 50018\n46194 69247\n38552 57774\n33578 50360\n13650 20493\n48933 73386\n90499 100000\n90039 100000\n36933 55387\n49020 73513\n83938 100000\n79702 100000\n43411 65045\n88752 100000\n33631 50439\n83170 100000\n79331 100000\n21375 32048\n73581 100000\n37467 56165\n914 1372\n46362 69518\n67935 100000\n64180 96285\n25218 37807\n98320 100000\n61392 92110\n41043 61523\n13552 20353\n85293 100000\n97447 100000\n35406 53096\n71925 100000\n94393 100000\n4265 6415\n79297 100000\n41225 61786\n85877 100000\n6716 10146\n71911 100000\n43688 65460\n84066 100000\n66031 99045\n55572 83341\n89731 100000\n15525 23301\n33998 50986\n27376 41029\n38503 57704\n61716 92595\n45333 67931\n52291 78445\n406 597\n51674 77524\n35774 53647\n15250 22889\n49168 73731\n8477 12763\n67940 100000\n51176 76783\n43192 64718\n69210 100000\n85233 100000\n60643 90980\n35461 53177\n90576 100000\n87720 100000\n75948 100000\n72665 100000\n43335 64937\n39215 58752\n79012 100000\n17895 26845\n44871 67241\n17408 26117\n27893 41818\n52949 79419\n81331 100000\n39932 59838\n27336 40972\n28436 42626\n51073 76629\n5753 8673\n51340 77034\n94638 100000\n19844 29753\n90491 100000\n58097 87163\n62458 93698\n42536 63751\n31497 47223\n12738 19172\n51664 77507\n17151 25734\n19417 29111\n25980 38960\n66759 100000\n85899 100000\n48127 72168\n97946 100000\n88787 100000\n13939 20927\n92458 100000\n88281 100000\n85916 100000\n87394 100000\n90334 100000\n89536 100000\n1305 1964\n55479 83205\n87597 100000\n75667 100000\n59658 89510\n96828 100000\n72615 100000\n39030 58478\n51343 77040\n97065 100000\n97085 100000\n53068 79602\n65838 98745\n59688 89555\n60938 91425\n71939 100000\n45931 68846\n25284 37904\n42255 63335\n59312 88983\n95052 100000\n6569 9925\n96567 100000\n4503 6774\n80239 100000\n32647 48962\n29050 43554\n82026 100000\n62485 93741\n1158 1748\n25672 38490\n7104 10708\n84794 100000\n22924 34397\n53700 80564\n11451 17245\n17526 26295\n14906 22363\n73328 100000\n28445 42639\n94936 100000\n28075 42094\n2416 3626\n73381 100000\n14874 22314\n72725 100000\n46205 69264\n66420 99629\n10364 15612\n45198 67733\n56326 84481\n66978 100000\n64065 96119\n6033 9114\n10844 16334\n55139 82683\n8337 12543\n74235 100000\n63995 96017\n7802 11763\n90051 100000\n29153 43704\n41884 62781\n72680 100000\n76515 100000\n75571 100000\n23903 35849\n54789 82158\n15652 23493\n91626 100000\n44305 66390\n16843 25259\n30474 45675\n98220 100000\n74433 100000\n73664 100000\n19085 28621\n19276 28904\n13981 20986\n13208 19851\n67545 100000\n68532 100000\n62169 93267\n33083 49631\n23670 35514\n43286 64866\n1030 1548\n75853 100000\n88492 100000\n64055 96105\n3615 5429\n39230 58776\n26436 39642\n54345 81528\n33655 50478\n45595 68329\n71955 100000\n96192 100000\n65051 97582\n55458 83173\n76150 100000\n71672 100000\n62806 94226\n81991 100000\n83795 100000\n90998 100000\n26707 40044\n63373 95083\n3088 4641\n3325 4998\n52825 79234\n39035 58483\n96966 100000\n54505 81751\n21170 31740\n11003 16572\n84200 100000\n78170 100000\n32234 48335\n45450 68106\n50401 75594\n79604 100000\n16079 24127\n90241 100000\n64872 97317\n47206 70790\n59843 89790\n60900 91369\n88085 100000\n3494 5252\n89596 100000\n66477 99716\n23869 35798\n62469 93716\n57653 86491\n47635 71444\n79440 100000\n36980 55456\n9683 14562\n15669 23517\n46601 69876\n8916 13415\n41687 62485\n84275 100000\n57714 86587\n13633 20469\n22345 33539\n3207 4818\n64857 97291\n77070 100000\n85796 100000\n89037 100000\n46379 69544\n69768 100000\n651 974\n83506 100000\n52252 78388\n4153 6237\n93073 100000\n11971 18016\n410 605\n93567 100000\n94403 100000\n54631 81927\n45372 67992\n70411 100000\n29558 44319\n24188 36275\n5274 7960\n85123 100000\n7299 11002\n862 1294\n54691 82016\n86121 100000\n65811 98707\n65356 98034\n56522 84773\n3822 5736\n85414 100000\n1926 2878\n75175 100000\n24882 37305\n61677 92529\n55955 83920\n59758 89662\n74800 100000\n3469 5217\n15405 23121\n31985 47960\n78096 100000\n62521 93790\n37971 56905\n35241 52853\n54683 82004\n64859 97294\n25797 38681\n29507 44244\n43401 65029\n96572 100000\n7652 11532\n72706 100000\n89987 100000\n74131 100000\n30935 46382\n99968 100000\n80417 100000\n89361 100000\n62392 93603\n98353 100000\n18010 27004\n99989 100000\n28149 42202\n61553 92356\n48826 73224\n67276 100000\n3112 4677\n8942 13454\n34142 51199\n62426 93654\n65864 98782\n20547 30814\n12805 19269\n81209 100000\n5115 7717\n74751 100000\n50343 75501\n3780 5670\n79347 100000\n99211 100000\n50407 75603\n20980 31451\n9838 14808\n39537 59230\n91090 100000\n34535 51801\n26714 40053\n26072 39098\n15133 22708\n65737 98602\n21452 32167\n92581 100000\n8470 12754\n34842 52260\n92850 100000\n99818 100000\n32571 48851\n89630 100000\n90981 100000\n89793 100000\n95806 100000\n34856 52279\n61114 91691\n29615 44400\n38056 57030\n64506 96774\n62144 93235\n58486 87735\n46849 70258\n59021 88531\n54143 81223\n22314 33495\n4722 7111\n41756 62588\n15246 22884\n21797 32705\n18621 27907\n29844 44744\n69833 100000\n70481 100000\n80119 100000\n47088 70611\n3370 5063\n97101 100000\n39070 58530\n81934 100000\n34557 51832\n32319 48469\n52588 78887\n28928 43370\n39691 59465\n88851 100000\n73020 100000\n95944 100000\n50630 75936\n67160 100000\n88406 100000\n9990 15051\n60922 91398\n18899 28331\n75592 100000\n67523 100000\n44948 67351\n89701 100000\n46064 69054\n32168 48237\n8861 13331\n74257 100000\n44142 66142\n79351 100000\n37731 56549\n90808 100000\n56325 84479\n74005 100000\n57487 86245\n55025 82505\n98070 100000\n7810 11772\n47837 71744\n31163 46714\n32962 49440\n62776 94181\n27693 41514\n34495 51734\n16877 25311\n44996 67421\n98366 100000\n85909 100000\n55554 83315\n83923 100000\n54872 82283\n8974 13499\n32727 49085\n94988 100000\n53892 80847\n32803 49201\n74792 100000\n47454 71164\n21357 32020\n16341 24530\n39592 59315\n82044 100000\n71098 100000\n84565 100000\n985 1480\n84486 100000\n6672 10080\n23938 35908\n2338 3515\n85694 100000\n69409 100000\n72795 100000\n71485 100000\n55316 82953\n21628 32434\n46386 69556\n33459 50189\n63624 95456\n88048 100000\n52938 79403\n2949 4438\n96841 100000\n4321 6499\n75406 100000\n94665 100000\n42538 63754\n64621 96945\n1559 2348\n1334 2005\n36249 54356\n32141 48197\n86084 100000\n87008 100000\n64288 96451\n44590 66831\n14313 21485\n23075 34624\n41591 62339\n38521 57732\n54751 82106\n19268 28891\n93392 100000\n69171 100000\n89525 100000\n17624 26439\n93569 100000\n54104 81168\n30822 46211\n23601 35409\n6898 10413\n11398 17161\n51152 76748\n79022 100000\n35630 53434\n6100 9210\n46002 68957\n48939 73395\n4387 6599\n3916 5882\n37738 56561\n78275 100000\n55384 83061\n5943 8976\n68254 100000\n45572 68291\n76250 100000\n98152 100000\n14458 21704\n39554 59255\n57909 86872\n48762 73132\n47322 70963\n36419 54618\n34643 51964\n70308 100000\n80401 100000\n45393 68023\n50505 75752\n75953 100000\n41643 62420\n74933 100000\n81780 100000\n65138 97715\n61023 91554\n30993 46462\n74178 100000\n91154 100000\n86737 100000\n48248 72358\n69323 100000\n77172 100000\n90416 100000\n47433 71130\n23238 34868\n8405 12652\n76547 100000\n86803 100000\n5478 8265\n63779 95689\n45552 68264\n67225 100000\n46185 69234\n99306 100000\n91701 100000\n71300 100000\n8647 13020\n92055 100000\n38775 58092\n62208 93325\n9874 14861\n84101 100000\n5756 8677\n80400 100000\n66455 99682\n46955 70417\n76316 100000\n48554 72820\n59158 88743\n89214 100000\n21466 32187\n85155 100000\n80415 100000\n44135 66133\n38435 57600\n68815 100000\n2332 3507\n12646 19031\n90970 100000\n76390 100000\n6559 9907\n51808 77716\n48809 73200\n81183 100000\n59010 88516\n94883 100000\n98369 100000\n259 380\n76403 100000\n81890 100000\n54426 81637\n423 625\n29313 43947\n58340 87526\n86192 100000\n7297 10999\n85380 100000\n94978 100000\n46308 69433\n30570 45827\n40876 61258\n2478 3717\n99376 100000\n67757 100000\n69356 100000\n60175 90293\n12367 18611\n16885 25324\n55710 83548\n87036 100000\n46766 70129\n6283 9488\n70933 100000\n19869 29793\n8263 12432\n57083 85632\n40134 60143\n51915 77876\n77932 100000\n89772 100000\n3913 5879\n76159 100000\n8509 12813\n49825 74726\n16924 25378\n33605 50400\n35941 53897\n57416 86138\n50635 75942\n39444 59086\n78425 100000\n99566 100000\n53149 79730\n98762 100000\n45175 67697\n42205 63259\n90012 100000\n81548 100000\n67846 100000\n6188 9344\n26543 39794\n23656 35491\n69190 100000\n60211 90345\n35563 53331\n41853 62729\n98859 100000\n21378 32052\n26744 40092\n45786 68629\n74127 100000\n19714 29564\n67018 100000\n21022 31513\n50088 75119\n8305 12495\n27091 40607\n30619 45898\n32979 49466\n44892 67268\n66140 99209\n27555 41307\n37402 56074\n47306 70939\n74648 100000\n28207 42286\n33619 50421\n69484 100000\n84673 100000\n64739 97121\n16912 25360\n77598 100000\n9688 14570\n86156 100000\n54564 81831\n33535 50298\n43136 64632\n29543 44298\n18638 27935\n21116 31659\n53422 80132\n69096 100000\n35205 52800\n96476 100000\n45297 67879\n50454 75673\n1552 2336\n57878 86824\n1215 1827\n6491 9805\n41653 62435\n43366 64979\n96872 100000\n80407 100000\n9693 14577\n27899 41828\n66087 99132\n15061 22596\n82158 100000\n92446 100000\n77711 100000\n96004 100000\n56641 84960\n16967 25449\n26051 39069\n54745 82097\n46523 69759\n25410 38096\n77095 100000\n89527 100000\n86978 100000\n80738 100000\n19129 28686\n47934 71887\n12931 19438\n93137 100000\n48455 72664\n8465 12745\n35360 53027\n23532 35301\n82341 100000\n80718 100000\n39610 59340\n34353 51520\n27152 40701\n28509 42741\n53379 80063\n80397 100000\n69100 100000\n97537 100000\n92024 100000\n71133 100000\n49181 73750\n44876 67248\n80552 100000\n59199 88803\n36578 54858\n2527 3797\n91968 100000\n51448 77183\n70514 100000\n45361 67974\n84851 100000\n47513 71255\n25584 38354\n23837 35750\n59424 89149\n72903 100000\n80479 100000\n49015 73505\n60261 90416\n55134 82675\n13452 20212\n39951 59868\n89049 100000\n13297 19981\n59214 88830\n93119 100000\n49917 74863\n12013 18079\n6214 9381\n83242 100000\n67200 100000\n43475 65140\n3114 4680\n1959 2932\n87303 100000\n59636 89477\n26427 39629\n86667 100000\n70387 100000\n43681 65450\n13187 19824\n71075 100000\n88334 100000\n4363 6563\n11432 17211\n19826 29727\n47124 70663\n31423 47112\n70491 100000\n3817 5728\n99037 100000\n90284 100000\n26604 39883\n32906 49353\n27451 41143\n34195 51279\n88131 100000\n84864 100000\n8358 12575\n72717 100000\n52440 78665\n57255 85893\n51916 77877\n42358 63492\n63761 95663\n89265 100000\n87559 100000\n98416 100000\n33726 50582\n95987 100000\n70527 100000\n529 793\n67860 100000\n15459 23200\n66872 100000\n7626 11492\n93462 100000\n50215 75313\n16243 24376\n47994 71967\n11329 17056\n2498 3750\n72597 100000\n33168 49756\n59261 88902\n134 200\n4561 6860\n69349 100000\n61414 92143\n56041 84046\n73240 100000\n10715 16142\n30197 45258\n80227 100000\n82636 100000\n98929 100000\n16982 25473\n12180 18335\n43168 64681\n2171 3255\n57959 86950\n19042 28554\n8257 12425\n58841 88265\n29121 43657\n46042 69019\n41504 62205\n31302 46927\n23564 35348\n31451 47155\n80710 100000\n24346 36505\n48751 73115\n19571 29345\n32740 49105\n60395 90609\n66334 99501\n66271 99403\n88540 100000\n53025 79537\n95395 100000\n15516 23286\n81542 100000\n42086 63082\n48861 73278\n43024 64463\n51367 77072\n65784 98667\n65917 98861\n33701 50544\n63240 94891\n35477 53201\n78063 100000\n41115 61629\n59345 89034\n23562 35345\n35122 52668\n32794 49187\n58053 87096\n94794 100000\n9091 13680\n77611 100000\n62768 94166\n1617 2426\n84769 100000\n14467 21715\n50779 76174\n16226 24350\n33613 50411\n51209 76837\n11562 17405\n48567 72841\n51282 76945\n57522 86299\n37253 55852\n93475 100000\n21603 32392\n92374 100000\n42420 63584\n7438 11212\n79608 100000\n39150 58649\n1765 2644\n13112 19717\n99181 100000\n66994 100000\n1532 2307\n4434 6674\n11188 16847\n99001 100000\n82994 100000\n49869 74792\n94086 100000\n86721 100000\n36344 54503\n29594 44370\n42987 64407\n69241 100000\n86007 100000\n95889 100000\n54639 81939\n72616 100000\n16625 24944\n9052 13621\n39968 59894\n89958 100000\n68833 100000\n68703 100000\n63068 94637\n19553 29318\n18228 27312\n27343 40983\n85191 100000\n50388 75573\n94240 100000\n3980 5976\n34029 51031\n44073 66041\n90774 100000\n16815 25218\n66920 100000\n31266 46871\n88255 100000\n38936 58336\n30291 45396\n40506 60691\n89905 100000\n90373 100000\n86990 100000\n29310 43943\n95798 100000\n3779 5669\n85000 100000\n93259 100000\n91540 100000\n39419 59053\n82968 100000\n46839 70242\n56606 84909\n18288 27404\n59491 89251\n85287 100000\n29623 44413\n38075 57056\n90746 100000\n43152 64654\n53255 79889\n8120 12227\n81081 100000\n8491 12787\n52113 78176\n33193 49794\n35347 53005\n85313 100000\n86824 100000\n15141 22721\n21807 32719\n19145 28709\n16562 24851\n67211 100000\n19066 28588\n91270 100000\n25118 37665\n52159 78249\n51585 77389\n14510 21777\n58643 87973\n40884 61272\n55561 83326\n22615 33931\n96682 100000\n66646 99976\n36415 54613\n40424 60575\n2560 3849\n79070 100000\n68711 100000\n78503 100000\n93083 100000\n23357 35048\n56927 85391\n5921 8939\n50804 76211\n12354 18595\n82818 100000\n17004 25503\n80403 100000\n78572 100000\n34614 51920\n18132 27176\n35130 52680\n8841 13300\n59195 88798\n21315 31951\n30027 45018\n62214 93333\n48157 72215\n76453 100000\n77783 100000\n92710 100000\n44886 67260\n10165 15316\n76406 100000\n18014 27010\n31562 47317\n81030 100000\n1268 1906\n37172 55730\n1973 2954\n78879 100000\n48842 73247\n15708 23576\n12111 18228\n88727 100000\n23354 35044\n71437 100000\n56688 85029\n46542 69791\n62956 94465\n95015 100000\n12797 19258\n10905 16421\n11186 16844\n2702 4060\n32882 49317\n5355 8083\n58077 87133\n58912 88365\n28944 43391\n2078 3115\n78323 100000\n79489 100000\n81401 100000\n8151 12274\n51264 76916\n78463 100000\n92366 100000\n4729 7121\n49115 73648\n21258 31869\n83906 100000\n50715 76075\n85637 100000\n71898 100000\n73394 100000\n55398 83081\n67592 100000\n17132 25703\n3510 5273\n61923 92903\n14059 21101\n65277 97913\n84076 100000\n6664 10067\n94053 100000\n67392 100000\n15902 23856\n9896 14896\n31743 47593\n2103 3154\n88315 100000\n58506 87765\n91102 100000\n30412 45570\n67657 100000\n75800 100000\n31416 47102\n60257 90411\n47082 70601\n98044 100000\n38437 57604\n594 892\n9369 14091\n81701 100000\n91972 100000\n27656 41459\n98023 100000\n55827 83724\n74760 100000\n3925 5897\n46437 69630\n82224 100000\n7679 11573\n18823 28217\n69547 100000\n37006 55489\n33205 49811\n47954 71914\n41659 62444\n13322 20018\n71678 100000\n63974 95985\n16852 25272\n50311 75457\n20813 31200\n75983 100000\n38610 57862\n18690 28020\n74477 100000\n73958 100000\n30761 46114\n39873 59751\n82056 100000\n99925 100000\n54151 81235\n34020 51017\n63546 95341\n95581 100000\n91407 100000\n17776 26666\n32181 48257\n13020 19574\n60660 91005\n92378 100000\n33502 50250\n9078 13661\n91047 100000\n89659 100000\n34087 51119\n57770 86668\n7750 11686\n30872 46285\n2620 3932\n62689 94050\n36230 54323\n66461 99692\n95242 100000\n59300 88964\n87196 100000\n59127 88696\n34567 51850\n96186 100000\n91837 100000\n41207 61756\n88720 100000\n80206 100000\n88606 100000\n86416 100000\n8296 12479\n37646 56429\n97480 100000\n90930 100000\n68115 100000\n41438 62104\n74766 100000\n14251 21381\n36341 54499\n59091 88641\n72619 100000\n49965 74937\n16878 25312\n63509 95288\n87966 100000\n37349 55996\n10513 15829\n20370 30543\n24623 36912\n19518 29264\n69445 100000\n40714 61007\n33929 50876\n53372 80051\n94534 100000\n41902 62808\n95442 100000\n10545 15874\n69208 100000\n87134 100000\n94763 100000\n21462 32181\n3642 5468\n42859 64215\n6600 9972\n28233 42325\n86795 100000\n56861 85295\n30214 45283\n63326 95013\n55655 83465\n37099 55623\n34299 51433\n30006 44987\n15079 22624\n62166 93263\n34698 52052\n79154 100000\n1175 1774\n46716 70050\n91667 100000\n270 397\n64949 97432\n57779 86681\n33594 50383\n28538 42784\n21305 31936\n93769 100000\n24897 37327\n81139 100000\n45183 67710\n16284 24436\n47089 70612\n43770 65581\n50950 76442\n90829 100000\n68033 100000\n96045 100000\n86465 100000\n91628 100000\n9033 13594\n6923 10450\n65341 98012\n1265 1902\n82600 100000\n90824 100000\n14472 21722\n98549 100000\n50462 75684\n60382 90588\n81245 100000\n68619 100000\n38749 58052\n7761 11699\n79939 100000\n59773 89686\n5305 8007\n81220 100000\n88826 100000\n37775 56618\n73827 100000\n60348 90542\n51505 77265\n81778 100000\n92169 100000\n18323 27459\n21469 32191\n32089 48122\n92998 100000\n80775 100000\n21613 32410\n49892 74826\n49237 73835\n63259 94916\n21367 32036\n9985 15042\n59989 90009\n48454 72662\n87936 100000\n52651 78978\n96610 100000\n72376 100000\n43233 64784\n77673 100000\n28626 42911\n79084 100000\n58802 88206\n80960 100000\n48147 72199\n88853 100000\n73721 100000\n68701 100000\n50186 75268\n46402 69578\n99310 100000\n80769 100000\n78319 100000\n92189 100000\n62307 93471\n49264 73877\n87078 100000\n29301 43931\n71180 100000\n7586 11431\n84888 100000\n94636 100000\n48748 73112\n9004 13548\n45668 68451\n63836 95775\n37350 55998\n98149 100000\n19965 29940\n5517 8323\n60166 90279\n79926 100000\n29556 44317\n19071 28596\n78216 100000\n48730 73085\n41049 61531\n26076 39106\n2752 4134\n49092 73613\n87034 100000\n76997 100000\n24733 37081\n97111 100000\n58737 88111\n96313 100000\n57012 85523\n77280 100000\n4521 6796\n31042 46533\n97574 100000\n69714 100000\n63311 94992\n47987 71957\n87619 100000\n85639 100000\n22668 34012\n85284 100000\n33629 50436\n34389 51575\n61657 92501\n70195 100000\n7567 11405\n5278 7966\n12607 18969\n25488 38209\n2327 3498\n31951 47902\n26423 39624\n13543 20337\n78901 100000\n19098 28640\n27984 41960\n66277 99414\n19074 28601\n9892 14890\n68538 100000\n653 976\n20267 30396\n74090 100000\n68138 100000\n22820 34240\n51881 77823\n17454 26185\n8853 13320\n48927 73378\n63270 94934\n77677 100000\n89438 100000\n68867 100000\n10292 15500\n19800 29689\n30088 45104\n4281 6437\n82613 100000\n16532 24807\n55714 83554\n63128 94732\n38497 57694\n99021 100000\n30276 45374\n91751 100000\n5374 8112\n50874 76323\n9270 13945\n86408 100000\n66784 100000\n38436 57602\n277 405\n21178 31753\n63619 95449\n18162 27222\n98890 100000\n71111 100000\n75531 100000\n53139 79715\n23935 35904\n59832 89771\n17112 25672\n20601 30903\n29351 44003\n47290 70917\n28946 43393\n25646 38453\n54906 82333\n5460 8241\n89908 100000\n26761 40118\n18441 27632\n88050 100000\n82849 100000\n3829 5745\n66372 99559\n9035 13597\n68637 100000\n56106 84142\n41385 62017\n25586 38358\n49922 74871\n756 1132\n80036 100000\n85860 100000\n36755 55119\n24537 36785\n73053 100000\n2089 3132\n95976 100000\n41518 62229\n92327 100000\n80787 100000\n38493 57686\n34350 51515\n75133 100000\n16501 24764\n20704 31044\n20423 30619\n20237 30352\n17347 26028\n64666 97013\n118 178\n21314 31949\n98663 100000\n81704 100000\n73985 100000\n54973 82427\n22974 34476\n67457 100000\n79498 100000\n67105 100000\n67930 100000\n59842 89788\n73565 100000\n70087 100000\n18693 28025\n97568 100000\n457 680\n29393 44068\n82892 100000\n84843 100000\n25908 38850\n67658 100000\n40501 60685\n64893 97350\n90900 100000\n77443 100000\n54793 82163\n70174 100000\n65237 97857\n52060 78096\n7637 11510\n78719 100000\n53943 80922\n32855 49276\n22703 34062\n15657 23501\n98013 100000\n17942 26905\n74643 100000\n78679 100000\n79139 100000\n76840 100000\n3527 5297\n1466 2207\n66859 100000\n71083 100000\n67036 100000\n5658 8532\n10405 15672\n72160 100000\n34386 51572\n13928 20912\n45028 67467\n65739 98605\n79314 100000\n30538 45776\n1772 2654\n41278 61862\n18853 28262\n65819 98719\n78836 100000\n74971 100000\n35183 52766\n31283 46895\n1139 1719\n43784 65602\n74584 100000\n99155 100000\n7535 11355\n57135 85714\n21487 32219\n37645 56427\n19538 29295\n8270 12441\n20943 31396\n51766 77655\n9818 14776\n45221 67766\n64511 96782\n4766 7181\n42626 63884\n85352 100000\n16603 24910\n15898 23852\n78714 100000\n39925 59827\n95369 100000\n61032 91565\n2605 3911\n65535 98302\n95575 100000\n23384 35084\n86373 100000\n69644 100000\n72384 100000\n62789 94201\n44678 66958\n11144 16779\n64458 96704\n38999 58430\n38105 57100\n56973 85463\n91104 100000\n86521 100000\n82414 100000\n4444 6692\n72886 100000\n44696 66982\n18037 27045\n76827 100000\n86052 100000\n82570 100000\n45734 68551\n34322 51468\n98897 100000\n76610 100000\n243 356\n12357 18599\n31418 47105\n29469 44185\n91784 100000\n50661 75983\n35899 53832\n70226 100000\n91352 100000\n29893 44816\n63477 95243\n42957 64359\n4706 7088\n8902 13394\n16845 25261\n93152 100000\n23493 35249\n66451 99677\n6076 9176\n81969 100000\n54305 81466\n57707 86577\n71546 100000\n54981 82436\n44109 66097\n42173 63213\n70966 100000\n4809 7243\n48512 72755\n71519 100000\n29326 43968\n65202 97809\n4865 7333\n85450 100000\n36467 54691\n94355 100000\n16808 25207\n78249 100000\n97552 100000\n49605 74407\n18327 27465\n45320 67911\n82285 100000\n94829 100000\n19431 29130\n42243 63315\n17010 25514\n52206 78320\n75611 100000\n30422 45585\n59883 89847\n76992 100000\n20238 30354\n45366 67983\n42729 64025\n11591 17454\n38121 57124\n14194 21300\n41145 61669\n21787 32689\n39963 59886\n62442 93676\n26884 40298\n31033 46521\n28656 42957\n10032 15114\n560 842\n69160 100000\n87773 100000\n37639 56416\n26273 39401\n44338 66438\n21256 31865\n45714 68523\n8323 12522\n83597 100000\n73107 100000\n4298 6463\n38424 57585\n28162 42220\n88900 100000\n5170 7802\n87765 100000\n21395 32082\n72625 100000\n13150 19769\n31957 47914\n70381 100000\n98262 100000\n54746 82099\n7199 10851\n42555 63778\n90624 100000\n27948 41897\n25570 38334\n33195 49798\n18703 28040\n63418 95155\n97023 100000\n27815 41696\n52082 78130\n56731 85091\n954 1432\n98622 100000\n24314 36457\n90104 100000\n25269 37881\n25649 38457\n8042 12114\n30374 45515\n17237 25856\n11318 17039\n39347 58946\n1857 2779\n67210 100000\n71923 100000\n49589 74381\n35020 52523\n34661 51991\n62716 94089\n22204 33332\n73355 100000\n51278 76938\n45051 67503\n91848 100000\n51496 77250\n32167 48236\n16406 24626\n77092 100000\n77947 100000\n57654 86493\n15835 23755\n48282 72405\n62001 93018\n14818 22235\n84659 100000\n48173 72240\n62972 94489\n98151 100000\n79596 100000\n29281 43903\n29866 44774\n47761 71632\n48686 73021\n6066 9162\n79480 100000\n61094 91660\n19125 28680\n79143 100000\n54879 82293\n40404 60546\n46296 69416\n95662 100000\n66000 98995\n50324 75474\n73291 100000\n54011 81028\n44656 66925\n10564 15906\n74615 100000\n51680 77535\n45467 68130\n34161 51230\n6329 9564\n53970 80964\n75450 100000\n51175 76782\n82723 100000\n12839 19315\n71384 100000\n77444 100000\n672 1003\n15376 23081\n2385 3581\n2964 4455\n72766 100000\n80816 100000\n31067 46573\n98199 100000\n85116 100000\n32556 48833\n78041 100000\n75448 100000\n99399 100000\n75301 100000\n49484 74215\n41605 62362\n12503 18818\n15891 23839\n90556 100000\n24055 36077\n72216 100000\n4494 6762\n6121 9241\n83227 100000\n86091 100000\n55883 83811\n52972 79454\n48160 72220\n64348 96542\n29030 43525\n29989 44962\n22675 34020\n69457 100000\n52258 78397\n44608 66854\n12167 18316\n85524 100000\n51078 76637\n41628 62396\n83074 100000\n11613 17484\n85838 100000\n12356 18598\n64370 96574\n58905 88354\n23975 35961\n64540 96828\n45296 67877\n42226 63290\n38039 57004\n59331 89011\n81815 100000\n61892 92857\n80080 100000\n98819 100000\n64829 97248\n65230 97848\n86311 100000\n54214 81325\n25399 38079\n44475 66651\n70684 100000\n20326 30477\n10305 15522\n45843 68711\n5602 8450\n93986 100000\n41780 62622\n32839 49250\n89128 100000\n69837 100000\n40959 61387\n87055 100000\n28372 42529\n19262 28881\n57409 86129\n9297 13986\n75655 100000\n63797 95716\n44422 66570\n97 147\n38846 58200\n10654 16045\n99423 100000\n69111 100000\n6819 10295\n71882 100000\n19397 29078\n96247 100000\n71297 100000\n82791 100000\n99862 100000\n65556 98332\n77873 100000\n25982 38964\n70222 100000\n69122 100000\n4189 6294\n56281 84408\n30871 46283\n77155 100000\n28864 43276\n19401 29085\n44174 66191\n59464 89207\n77098 100000\n18415 27597\n42295 63395\n93222 100000\n85633 100000\n15363 23062\n4029 6046\n26793 40164\n56491 84725\n94152 100000\n22861 34302\n35721 53562\n47273 70891\n37707 56514\n45640 68404\n64680 97037\n95073 100000\n29414 44104\n34603 51902\n13988 20996\n11513 17331\n65843 98754\n57348 86037\n29816 44705\n29551 44310\n5201 7848\n70833 100000\n46868 70284\n14384 21592\n99166 100000\n16750 25128\n76632 100000\n78243 100000\n11403 17168\n73298 100000\n38064 57041\n42871 64229\n83558 100000\n78956 100000\n25406 38089\n73216 100000\n45512 68199\n56599 84898\n17003 25501\n31462 47170\n64295 96462\n39712 59497\n25317 37953\n89857 100000\n43954 65860\n17978 26955\n10396 15660\n13614 20438\n49304 73941\n30898 46323\n46051 69033\n1131 1705\n15719 23591\n99983 100000\n51306 76978\n66802 100000\n65964 98935\n16261 24400\n2521 3787\n66012 99015\n74993 100000\n81281 100000\n76828 100000\n46603 69879\n69144 100000\n91112 100000\n36797 55187\n97029 100000\n10597 15959\n16620 24938\n24573 36840\n63610 95433\n14548 21836\n87020 100000\n54692 82018\n51726 77599\n57517 86291\n35311 52951\n13619 20446\n63866 95822\n78307 100000\n41986 62938\n68632 100000\n50231 75335\n50488 75725\n56113 84152\n34833 52246\n93739 100000\n384 563\n22413 33642\n70964 100000\n11171 16824\n30488 45700\n28322 42457\n67814 100000\n19711 29559\n53863 80806\n8688 13079\n6441 9728\n32901 49346\n32035 48041\n31750 47603\n3155 4744\n7819 11786\n49861 74781\n70796 100000\n84772 100000\n78845 100000\n87407 100000\n83580 100000\n39466 59122\n31269 46876\n70052 100000\n79769 100000\n65529 98294\n5402 8153\n72521 100000\n6330 9566\n711 1057\n18901 28334\n48976 73448\n62131 93214\n34779 52169\n61393 92111\n31942 47889\n99867 100000\n36428 54632\n1834 2747\n4533 6815\n64880 97327\n67437 100000\n60323 90504\n80561 100000\n59972 89981\n41175 61711\n92566 100000\n5049 7616\n12242 18429\n25953 38919\n49071 73586\n30367 45504\n91592 100000\n20733 31089\n1370 2063\n22070 33123\n37332 55973\n44162 66173\n8248 12411\n37178 55738\n87994 100000\n95106 100000\n19208 28805\n89076 100000\n67449 100000\n97978 100000\n66136 99204\n62114 93187\n90375 100000\n63408 95139\n12501 18816\n43981 65900\n81852 100000\n55200 82770\n42410 63568\n77014 100000\n32835 49245\n86911 100000\n17166 25756\n28562 42817\n2535 3810\n38475 57658\n68765 100000\n5354 8082\n92012 100000\n68434 100000\n26207 39302\n99092 100000\n29398 44077\n51378 77089\n63709 95578\n17840 26763\n328 478\n81469 100000\n14542 21827\n24159 36232\n67632 100000\n81211 100000\n85451 100000\n481 717\n47582 71358\n66575 99865\n66479 99719\n16355 24550\n3918 5886\n39421 59056\n12756 19196\n15508 23274\n97528 100000\n33132 49705\n7995 12046\n12813 19279\n71283 100000\n95748 100000\n91279 100000\n61801 92716\n98520 100000\n8788 13226\n16435 24668\n20582 30873\n17291 25942\n30994 46464\n54647 81949\n43328 64926\n17053 25585\n49689 74537\n94656 100000\n93155 100000\n33158 49742\n64845 97273\n12973 19506\n83592 100000\n61188 91803\n95451 100000\n55149 82699\n80836 100000\n36393 54577\n42763 64072\n27855 41760\n18805 28189\n9632 14488\n7027 10598\n96438 100000\n11240 16928\n9247 13911\n12223 18399\n18473 27682\n38061 57037\n3072 4618\n9220 13866\n7696 11601\n90928 100000\n8059 12139\n7971 12013\n49738 74603\n35326 52974\n28382 42545\n9513 14309\n86785 100000\n23180 34776\n48648 72965\n82984 100000\n40649 60910\n50573 75852\n85610 100000\n83639 100000\n30055 45056\n62273 93419\n65836 98743\n45451 68108\n78080 100000\n16826 25234\n23409 35119\n53687 80543\n80920 100000\n81286 100000\n15545 23329\n88247 100000\n55593 83373\n20753 31119\n93481 100000\n1393 2095\n65515 98273\n24331 36485\n39324 58912\n9504 14297\n50379 75558\n3841 5764\n23673 35517\n38998 58429\n35469 53190\n80779 100000\n47225 70814\n88116 100000\n42212 63271\n28177 42241\n68391 100000\n74296 100000\n40807 61155\n6523 9855\n44952 67355\n50970 76475\n46417 69601\n61450 92197\n76887 100000\n79443 100000\n5040 7599\n41392 62028\n95675 100000\n52576 78870\n33022 49535\n26042 39056\n42720 64012\n89776 100000\n60198 90325\n78699 100000\n88170 100000\n92829 100000\n35652 53464\n35420 53119\n83858 100000\n84320 100000\n26125 39184\n45678 68466\n72856 100000\n68388 100000\n19601 29390\n29685 44510\n5966 9012\n44831 67175\n25676 38497\n83891 100000\n97479 100000\n456 678\n74331 100000\n2010 3009\n2685 4037\n58369 87563\n86846 100000\n11707 17616\n64433 96669\n1430 2153\n30202 45266\n51106 76679\n56578 84862\n98433 100000\n51656 77495\n97702 100000\n62226 93354\n30275 45373\n58730 88100\n42297 63397\n55449 83159\n27222 40802\n5368 8102\n11404 17169\n81776 100000\n41680 62472\n22376 33583\n83237 100000\n26240 39352\n22190 33310\n67897 100000\n96791 100000\n32959 49436\n42267 63354\n98516 100000\n78469 100000\n32867 49292\n78349 100000\n85262 100000\n32580 48864\n54865 82274\n5531 8342\n37190 55758\n51777 77671\n19255 28871\n64317 96494\n20730 31085\n78737 100000\n17014 25521\n92009 100000\n65615 98425\n36834 55243\n27377 41031\n96267 100000\n97368 100000\n86573 100000\n7030 10603\n18223 27305\n3456 5200\n16675 25020\n29504 44240\n69490 100000\n53392 80083\n7335 11055\n97599 100000\n8950 13465\n52640 78963\n82827 100000\n51261 76911\n55631 83430\n29080 43597\n74070 100000\n97159 100000\n24816 37206\n23739 35616\n46942 70397\n91782 100000\n86357 100000\n74186 100000\n18722 28070\n68821 100000\n24942 37391\n43374 64990\n52689 79035\n43509 65191\n80416 100000\n82727 100000\n24830 37226\n61092 91657\n70313 100000\n42047 63025\n77546 100000\n71976 100000\n61738 92626\n93364 100000\n69197 100000\n83754 100000\n87685 100000\n18866 28278\n13747 20640\n39976 59904\n13692 20557\n88788 100000\n49988 74973\n84189 100000\n63009 94546\n45025 67462\n55180 82742\n71862 100000\n24059 36083\n88078 100000\n41721 62535\n50079 75106\n21311 31944\n67444 100000\n78511 100000\n11607 17475\n74915 100000\n92181 100000\n87670 100000\n46483 69697\n66003 99000\n21871 32820\n10094 15209\n24170 36248\n6743 10184\n47432 71129\n27124 40658\n98983 100000\n77324 100000\n99575 100000\n97561 100000\n91776 100000\n71380 100000\n98598 100000\n85708 100000\n12906 19404\n93123 100000\n33764 50638\n16104 24163\n18134 27180\n82800 100000\n54941 82383\n82886 100000\n17721 26582\n57361 86058\n18117 27157\n67095 100000\n70011 100000\n56426 84626\n70769 100000\n88591 100000\n45762 68591\n39184 58704\n5755 8676\n8679 13067\n12017 18085\n80516 100000\n93082 100000\n35327 52975\n99678 100000\n86819 100000\n87594 100000\n90772 100000\n89179 100000\n23790 35685\n68789 100000\n87698 100000\n68136 100000\n41046 61527\n48352 72507\n23009 34526\n42561 63788\n17124 25692\n25393 38068\n22265 33424\n74192 100000\n97787 100000\n7977 12021\n86863 100000\n96836 100000\n79978 100000\n4747 7151\n20395 30580\n14147 21230\n86269 100000\n71228 100000\n93564 100000\n49073 73589\n55178 82738\n52609 78920\n77482 100000\n18265 27372\n928 1394\n60233 90377\n87909 100000\n65919 98865\n44026 65967\n944 1417\n21887 32845\n29904 44834\n32012 48005\n89741 100000\n57115 85681\n44150 66154\n79279 100000\n38359 57484\n12900 19395\n95639 100000\n42425 63592\n58351 87543\n69448 100000\n38217 57269\n20318 30464\n85768 100000\n38123 57128\n36014 54007\n89755 100000\n68812 100000\n35578 53353\n44685 66967\n6513 9841\n18328 27466\n20847 31251\n50045 75058\n66392 99590\n64439 96677\n74342 100000\n29143 43688\n5284 7975\n48506 72746\n87972 100000\n5017 7566\n44211 66244\n94079 100000\n27747 41594\n23274 34920\n24753 37107\n90519 100000\n73687 100000\n22114 33190\n61099 91668\n48129 72170\n101 153\n5884 8882\n78611 100000\n2296 3447\n34091 51125\n39056 58512\n28157 42213\n96686 100000\n53817 80734\n94757 100000\n85152 100000\n4266 6416\n3177 4773\n97805 100000\n32053 48070\n52474 78713\n89895 100000\n81567 100000\n67081 100000\n42207 63262\n58496 87750\n80985 100000\n5967 9014\n58105 87177\n90009 100000\n67008 100000\n71434 100000\n1359 2046\n59477 89227\n94239 100000\n59071 88611\n79400 100000\n52112 78174\n52241 78370\n54430 81641\n11975 18021\n78220 100000\n88829 100000\n18712 28056\n85309 100000\n89488 100000\n32957 49432\n76709 100000\n81619 100000\n69308 100000\n85064 100000\n4901 7388\n64929 97403\n48817 73211\n80860 100000\n32849 49264\n55858 83771\n1166 1759\n49273 73890\n57443 86178\n62275 93423\n98286 100000\n31785 47657\n66617 99927\n43506 65186\n305 446\n39287 58852\n80354 100000\n30590 45856\n36882 55310\n17437 26157\n98805 100000\n82783 100000\n69169 100000\n28668 42974\n61382 92094\n16484 24740\n68903 100000\n46986 70465\n89241 100000\n90427 100000\n20683 31015\n48871 73294\n78427 100000\n85937 100000\n40897 61293\n96350 100000\n53989 80994\n62221 93346\n28018 42016\n28741 43083\n32830 49238\n82109 100000\n64690 97053\n90652 100000\n72544 100000\n38562 57790\n94652 100000\n15535 23316\n62893 94363\n4109 6170\n68067 100000\n87932 100000\n31247 46842\n29580 44348\n96777 100000\n37510 56229\n6046 9133\n59747 89647\n11771 17708\n98824 100000\n96505 100000\n67207 100000\n43759 65566\n49778 74662\n37461 56156\n9822 14782\n89290 100000\n83238 100000\n46278 69388\n30024 45014\n22420 33655\n36715 55063\n77083 100000\n54111 81178\n87898 100000\n86434 100000\n92211 100000\n56975 85466\n19671 29495\n70598 100000\n55664 83478\n14058 21100\n17048 25578\n40896 61292\n48190 72266\n65803 98697\n54919 82352\n49126 73665\n95574 100000\n20185 30277\n67194 100000\n96222 100000\n81591 100000\n37156 55710\n60170 90284\n51238 76879\n71175 100000\n31776 47641\n44991 67416\n10343 15576\n72904 100000\n30081 45093\n63711 95580\n76373 100000\n47955 71915\n66611 99917\n55530 83280\n30015 45001\n12164 18313\n15825 23741\n39889 59773\n50876 76326\n19181 28765\n60980 91489\n81464 100000\n95269 100000\n17960 26930\n73375 100000\n87590 100000\n78794 100000\n49506 74249\n31161 46710\n28607 42882\n69239 100000\n61064 91616\n1870 2799\n75903 100000\n64069 96123\n30326 45445\n69531 100000\n6472 9773\n63523 95307\n93258 100000\n2475 3714\n42533 63747\n46861 70277\n90719 100000\n30131 45165\n82236 100000\n24701 37030\n40585 60815\n6799 10268\n99659 100000\n3709 5567\n88985 100000\n65862 98780\n24562 36823\n75091 100000\n41389 62023\n27708 41537\n53159 79744\n12366 18610\n96739 100000\n71867 100000\n19845 29754\n7049 10633\n60303 90475\n5291 7985\n90761 100000\n11103 16721\n41168 61701\n64965 97456\n9024 13579\n79001 100000\n13018 19571\n70639 100000\n80520 100000\n74816 100000\n6226 9400\n91130 100000\n50948 76440\n50151 75214\n70038 100000\n12148 18289\n67462 100000\n60649 90989\n85841 100000\n18119 27159\n59937 89930\n69056 100000\n6461 9754\n53335 80000\n23158 34743\n40702 60988\n83614 100000\n21780 32677\n30191 45249\n3560 5343\n25591 38367\n84514 100000\n29129 43669\n839 1260\n94519 100000\n79522 100000\n13422 20169\n41602 62358\n53331 79994\n94577 100000\n5071 7646\n26579 39846\n98867 100000\n37962 56890\n56699 85041\n64193 96306\n94974 100000\n20610 30915\n49504 74246\n75711 100000\n46586 69852\n14440 21673\n66313 99471\n33675 50507\n58018 87042\n93214 100000\n2553 3838\n56821 85230\n93031 100000\n66603 99906\n64534 96819\n53979 80976\n96089 100000\n66065 99097\n14570 21866\n25743 38602\n8935 13442\n37295 55920\n57903 86863\n75316 100000\n55724 83567\n14442 21676\n15955 23936\n27340 40978\n9806 14760\n76820 100000\n73471 100000\n28907 43340\n61395 92115\n16274 24421\n36741 55101\n43477 65142\n32625 48932\n43466 65129\n21659 32485\n18308 27437\n22088 33147\n68111 100000\n55634 83435\n34810 52214\n50729 76098\n15953 23934\n59910 89887\n69670 100000\n95606 100000\n11858 17840\n53355 80026\n77380 100000\n16693 25047\n9411 14158\n25881 38809\n17603 26409\n63811 95740\n72703 100000\n90859 100000\n26557 39816\n86987 100000\n48860 73276\n94776 100000\n82952 100000\n93196 100000\n85420 100000\n21557 32320\n70410 100000\n80588 100000\n92363 100000\n13106 19709\n83620 100000\n77331 100000\n14376 21581\n90323 100000\n20987 31459\n16393 24607\n18673 27991\n24298 36435\n37477 56180\n12443 18724\n41901 62807\n3881 5825\n11349 17086\n9101 13692\n88489 100000\n32925 49381\n3892 5845\n1018 1530\n16989 25484\n7470 11259\n62839 94282\n73191 100000\n3988 5989\n57658 86499\n10576 15927\n65064 97600\n64256 96402\n48246 72355\n89725 100000\n54743 82094\n83081 100000\n8166 12296\n73249 100000\n48212 72301\n71202 100000\n96898 100000\n59564 89366\n92053 100000\n1927 2880\n3582 5380\n71457 100000\n89317 100000\n15868 23803\n3317 4987\n41147 61672\n6201 9360\n46177 69223\n43522 65210\n72805 100000\n56725 85081\n45362 67975\n68684 100000\n4238 6371\n36126 54175\n9318 14018\n85727 100000\n71603 100000\n52373 78564\n4181 6282\n84931 100000\n29496 44225\n97325 100000\n90718 100000\n14453 21697\n86714 100000\n96680 100000\n57458 86202\n85059 100000\n91772 100000\n56273 84396\n42078 63070\n60054 90107\n12681 19085\n96717 100000\n85870 100000\n71710 100000\n84878 100000\n11314 17033\n84889 100000\n11062 16659\n77378 100000\n42934 64326\n5432 8197\n92256 100000\n47025 70527\n63667 95519\n33522 50280\n85563 100000\n85732 100000\n11128 16758\n46250 69342\n20195 30292\n98630 100000\n12946 19461\n59708 89585\n49518 74268\n49927 74878\n59503 89272\n20564 30843\n68979 100000\n84212 100000\n84357 100000\n25597 38378\n60996 91512\n80101 100000\n5018 7568\n88264 100000\n22176 33288\n40865 61239\n71215 100000\n94308 100000\n59482 89235\n72599 100000\n14020 21041\n20005 30007\n17580 26378\n18026 27028\n40002 59944\n1447 2176\n94717 100000\n9912 14923\n9288 13973\n11099 16716\n89146 100000\n26548 39801\n39740 59539\n74595 100000\n88166 100000\n74790 100000\n98730 100000\n53076 79618\n44347 66451\n27151 40700\n42165 63202\n40842 61207\n98185 100000\n38664 57933\n78638 100000\n24157 36229\n65895 98831\n22498 33763\n75519 100000\n11754 17684\n26213 39311\n94523 100000\n75747 100000\n48431 72625\n46884 70309\n52892 79336\n84290 100000\n3912 5877\n51296 76964\n94322 100000\n2177 3262\n19709 29556\n47220 70807\n47638 71448\n72851 100000\n3661 5495\n13471 20237\n22316 33498\n47254 70864\n62038 93070\n68864 100000\n21492 32226\n31936 47881\n23089 34643\n3554 5334\n50397 75588\n7888 11891\n35746 53606\n42558 63784\n43925 65818\n92436 100000\n54410 81612\n30876 46292\n85222 100000\n35864 53782\n68284 100000\n16373 24576\n63830 95766\n78640 100000\n26267 39393\n52105 78164\n98584 100000\n18409 27588\n40080 60061\n29936 44884\n634 949\n48450 72656\n39117 58598\n80526 100000\n75698 100000\n51088 76650\n48759 73128\n30438 45613\n12213 18386\n86770 100000\n3594 5398\n3555 5335\n43072 64538\n48279 72401\n55273 82889\n92530 100000\n87046 100000\n39575 59288\n83261 100000\n38954 58363\n81085 100000\n51858 77789\n1032 1550\n88055 100000\n74308 100000\n16705 25065\n93197 100000\n78541 100000\n48535 72790\n1564 2353\n57437 86168\n85912 100000\n72003 100000\n75080 100000\n47619 71417\n27273 40879\n89850 100000\n27661 41466\n28026 42028\n92913 100000\n72894 100000\n10398 15663\n88069 100000\n42328 63445\n26039 39051\n64248 96388\n65244 97868\n84002 100000\n57486 86244\n69054 100000\n37381 56046\n90217 100000\n62514 93778\n72238 100000\n40634 60887\n90061 100000\n38326 57438\n50093 75127\n65482 98224\n88635 100000\n17980 26957\n14971 22464\n89332 100000\n20043 30060\n99744 100000\n92130 100000\n72372 100000\n22697 34054\n49175 73740\n26918 40347\n70407 100000\n24892 37319\n25411 38097\n78831 100000\n87483 100000\n26978 40435\n18095 27126\n37447 56136\n74783 100000\n21118 31662\n10935 16467\n36776 55155\n21338 31989\n85643 100000\n28964 43419\n61131 91718\n36005 53994\n1488 2241\n66819 100000\n30120 45151\n21526 32275\n89930 100000\n50080 75107\n43819 65655\n65670 98504\n43483 65149\n26307 39451\n70701 100000\n7173 10812\n20681 31013\n99605 100000\n35243 52857\n16480 24733\n90729 100000\n758 1135\n26017 39016\n22423 33660\n91709 100000\n58904 88352\n79074 100000\n25990 38977\n95759 100000\n93651 100000\n30879 46295\n30951 46403\n52877 79313\n47498 71235\n80514 100000\n56909 85366\n37995 56943\n86429 100000\n79771 100000\n74436 100000\n77431 100000\n3264 4905\n24083 36118\n48545 72806\n43336 64939\n77072 100000\n89780 100000\n71361 100000\n11998 18056\n95153 100000\n69737 100000\n70172 100000\n98194 100000\n37458 56151\n77125 100000\n82582 100000\n98485 100000\n34851 52273\n35440 53146\n9878 14867\n83720 100000\n13686 20547\n61734 92621\n36476 54705\n14646 21982\n42811 64143\n27415 41087\n969 1455\n97051 100000\n1688 2538\n87372 100000\n87281 100000\n37158 55712\n44771 67091\n19569 29341\n72592 100000\n26380 39559\n98350 100000\n74782 100000\n61707 92578\n32473 48701\n68881 100000\n35898 53830\n4828 7275\n4954 7471\n72110 100000\n86510 100000\n78342 100000\n7827 11798\n36333 54489\n44793 67121\n26485 39712\n56558 84831\n8998 13539\n60026 90063\n22885 34338\n59519 89296\n56114 84154\n80319 100000\n3060 4600\n84095 100000\n81839 100000\n30115 45143\n48589 72874\n7461 11245\n86025 100000\n73757 100000\n42875 64236\n24272 36396\n63339 95031\n30235 45314\n49140 73688\n41564 62298\n75796 100000\n48607 72902\n96664 100000\n86637 100000\n82675 100000\n53954 80939\n77456 100000\n31998 47980\n42448 63628\n73571 100000\n19057 28575\n56621 84932\n89480 100000\n92678 100000\n51857 77788\n80328 100000\n60142 90242\n88176 100000\n45009 67441\n5052 7621\n30580 45842\n91853 100000\n28391 42559\n95064 100000\n14880 22323\n55067 82571\n90177 100000\n17412 26122\n45364 67979\n26891 40308\n32087 48118\n11615 17487\n62336 93517\n34488 51724\n44724 67020\n84421 100000\n81475 100000\n87090 100000\n85331 100000\n43593 65317\n80276 100000\n96182 100000\n17880 26825\n25170 37737\n44214 66248\n56352 84516\n20931 31376\n17150 25732\n39865 59739\n6631 10016\n77137 100000\n5033 7587\n49859 74777\n1479 2226\n96649 100000\n43012 64446\n46648 69944\n94854 100000\n5816 8769\n945 1418\n98504 100000\n58136 87221\n52828 79239\n29645 44446\n70925 100000\n92174 100000\n98125 100000\n77074 100000\n71991 100000\n37966 56896\n1096 1646\n23763 35648\n89815 100000\n48605 72899\n79163 100000\n56779 85166\n88927 100000\n99511 100000\n4483 6747\n69761 100000\n46730 70073\n62288 93440\n9209 13851\n25325 37965\n50828 76250\n64300 96470\n63976 95987\n25112 37654\n2901 4358\n68780 100000\n89099 100000\n44981 67399\n33426 50138\n20884 31306\n76214 100000\n7506 11312\n22700 34057\n65977 98958\n36296 54431\n4775 7193\n83308 100000\n63366 95073\n6291 9504\n83477 100000\n88508 100000\n78852 100000\n24607 36888\n427 629\n32864 49288\n31967 47931\n83453 100000\n73398 100000\n63462 95218\n54485 81720\n6829 10312\n39244 58794\n74899 100000\n45554 68266\n69380 100000\n93249 100000\n23653 35485\n23470 35211\n13154 19774\n77930 100000\n99015 100000\n15884 23828\n13911 20888\n26297 39433\n49519 74270\n33249 49872\n685 1022\n54939 82380\n60140 90239\n70724 100000\n75410 100000\n34662 51992\n72192 100000\n61149 91746\n24871 37287\n36694 55026\n67492 100000\n67067 100000\n92811 100000\n1640 2462\n48215 72306\n684 1020\n35678 53502\n48428 72621\n95373 100000\n2241 3362\n18398 27572\n5146 7763\n41565 62299\n26239 39350\n83141 100000\n88747 100000\n2377 3572\n43609 65340\n19637 29444\n28861 43271\n12513 18833\n29745 44604\n39010 58443\n46239 69322\n70541 100000\n54182 81280\n24975 37442\n9458 14230\n38958 58369\n57507 86275\n8371 12598\n98646 100000\n44321 66413\n58776 88167\n91260 100000\n96205 100000\n41622 62386\n17995 26980\n64671 97022\n91126 100000\n16666 25006\n12068 18167\n29328 43971\n87657 100000\n45053 67507\n99668 100000\n57575 86375\n5352 8079\n36222 54311\n16590 24891\n47326 70971\n13604 20425\n26773 40136\n60228 90369\n26733 40076\n47645 71457\n87548 100000\n27269 40874\n58807 88212\n23117 34683\n25474 38188\n65723 98581\n2496 3747\n86225 100000\n77437 100000\n95882 100000\n73278 100000\n12949 19467\n11422 17197\n49595 74392\n31739 47587\n38453 57629\n90018 100000\n36353 54516\n83657 100000\n89499 100000\n74521 100000\n89135 100000\n78939 100000\n39052 58508\n55250 82851\n5926 8947\n90198 100000\n9852 14827\n31284 46897\n82927 100000\n87835 100000\n33569 50347\n30189 45247\n58027 87055\n93091 100000\n97981 100000\n39391 59012\n86984 100000\n3347 5028\n18686 28013\n68772 100000\n39173 58686\n47143 70692\n46625 69913\n88577 100000\n86621 100000\n5575 8411\n92881 100000\n18268 27377\n1270 1909\n10179 15337\n82902 100000\n11778 17715\n82672 100000\n23159 34745\n50176 75253\n48816 73210\n478 713\n11641 17521\n58540 87816\n4983 7515\n26472 39690\n2102 3152\n1015 1526\n32289 48422\n1512 2279\n68314 100000\n45425 68070\n78923 100000\n93510 100000\n85508 100000\n38784 58106\n71738 100000\n61886 92847\n39757 59567\n3381 5080\n78408 100000\n64684 97044\n28359 42512\n95403 100000\n6584 9945\n91292 100000\n23485 35236\n40247 60310\n82472 100000\n14929 22397\n17843 26767\n64982 97482\n89935 100000\n21278 31899\n90825 100000\n3903 5861\n36640 54952\n54093 81151\n92740 100000\n99242 100000\n67882 100000\n29196 43771\n67325 100000\n14883 22327\n67542 100000\n58935 88403\n5941 8972\n93880 100000\n58587 87886\n5110 7708\n61828 92759\n26650 39955\n21474 32199\n88975 100000\n43159 64665\n75253 100000\n94528 100000\n7526 11340\n22792 34198\n27019 40497\n33556 50327\n16795 25190\n88208 100000\n4674 7039\n57164 85755\n77976 100000\n26191 39277\n30329 45450\n65610 98417\n95702 100000\n61798 92711\n57905 86866\n56151 84212\n11714 17627\n14452 21695\n63896 95869\n93264 100000\n16010 24021\n45434 68082\n85534 100000\n46846 70254\n38608 57859\n91858 100000\n8078 12167\n78290 100000\n6361 9612\n89029 100000\n81364 100000\n70591 100000\n23287 34939\n63876 95838\n83881 100000\n13647 20489\n87215 100000\n18011 27005\n2481 3722\n32093 48128\n92349 100000\n41529 62246\n90426 100000\n7205 10862\n86320 100000\n61336 92024\n19481 29207\n80087 100000\n18915 28351\n10259 15455\n30450 45636\n78029 100000\n66171 99255\n54918 82350\n82260 100000\n90358 100000\n1376 2072\n22784 34185\n11305 17020\n88188 100000\n77000 100000\n5940 8971\n61409 92137\n13901 20875\n4978 7508\n32449 48664\n74472 100000\n6781 10242\n40971 61407\n82965 100000\n48182 72255\n36668 54990\n49671 74507\n67223 100000\n50742 76119\n39219 58758\n76606 100000\n12369 18614\n14851 22282\n55696 83526\n40937 61354\n73754 100000\n53178 79774\n5182 7818\n89413 100000\n67252 100000\n47875 71801\n95895 100000\n7662 11547\n40051 60017\n21920 32895\n43860 65717\n10875 16378\n63835 95774\n38138 57151\n29747 44608\n78151 100000\n43302 64890\n50644 75955\n68946 100000\n83343 100000\n380 556\n7220 10880\n98592 100000\n96482 100000\n16109 24171\n81838 100000\n31037 46526\n86222 100000\n78521 100000\n94367 100000\n64754 97143\n84504 100000\n50421 75623\n68908 100000\n45665 68446\n86624 100000\n70827 100000\n45642 68407\n97951 100000\n95001 100000\n89653 100000\n70588 100000\n35612 53405\n51482 77229\n40392 60529\n33343 50008\n96858 100000\n13800 20720\n4565 6867\n3262 4901\n55544 83302\n85003 100000\n52920 79378\n95335 100000\n83615 100000\n82284 100000\n88949 100000\n19919 29872\n2126 3189\n14371 21572\n97283 100000\n97271 100000\n75493 100000\n91978 100000\n13037 19605\n38037 57002\n50747 76127\n89291 100000\n83109 100000\n43172 64688\n75205 100000\n49169 73733\n90184 100000\n7218 10876\n10669 16069\n19943 29905\n67896 100000\n29624 44415\n29539 44292\n26798 40170\n65191 97792\n95773 100000\n91883 100000\n84747 100000\n40924 61334\n70064 100000\n57898 86854\n19630 29435\n70247 100000\n86395 100000\n39967 59892\n71986 100000\n73057 100000\n67028 100000\n54194 81296\n20918 31358\n2456 3687\n62759 94153\n86592 100000\n3952 5932\n60011 90043\n4000 6006\n82670 100000\n54782 82148\n28584 42846\n94193 100000\n4695 7072\n14379 21585\n9954 14994\n48727 73080\n39972 59898\n4140 6217\n62833 94273\n24292 36426\n71158 100000\n29449 44155\n91321 100000\n49823 74722\n6736 10175\n42970 64382\n64934 97410\n51494 77247\n70267 100000\n27593 41367\n79294 100000\n50021 75021\n35215 52813\n15138 22716\n43052 64507\n32606 48905\n72286 100000\n43937 65832\n41106 61616\n15104 22662\n68252 100000\n1017 1529\n98621 100000\n88210 100000\n97141 100000\n5956 8998\n99461 100000\n92025 100000\n52889 79332\n9862 14841\n65751 98623\n50846 76278\n61175 91784\n25637 38440\n2977 4472\n12196 18358\n85871 100000\n40656 60919\n11868 17855\n9086 13673\n42487 63682\n79994 100000\n86993 100000\n64560 96856\n25614 38404\n92233 100000\n2386 3583\n5145 7761\n44676 66956\n81033 100000\n24878 37298\n6409 9681\n54442 81655\n90587 100000\n94510 100000\n64722 97100\n86361 100000\n20510 30756\n71171 100000\n81716 100000\n73869 100000\n97770 100000\n13007 19556\n338 494\n512 765\n46370 69531\n43523 65211\n73304 100000\n59863 89817\n21853 32789\n39652 59403\n48969 73437\n97918 100000\n77047 100000\n72935 100000\n21406 32096\n42788 64111\n22901 34362\n38425 57586\n97444 100000\n31712 47548\n48934 73388\n11956 17994\n77800 100000\n9659 14528\n68369 100000\n3077 4625\n40996 61447\n44792 67120\n12424 18695\n8294 12476\n78047 100000\n23761 35646\n37865 56750\n53465 80203\n56969 85456\n71683 100000\n9372 14096\n36769 55142\n35381 53063\n38478 57661\n63398 95122\n46295 69414\n78582 100000\n17738 26606\n24423 36618\n29404 44087\n64711 97085\n7614 11475\n36427 54630\n23857 35780\n39855 59722\n42605 63851\n47982 71951\n26394 39580\n40627 60877\n83500 100000\n31845 47749\n3656 5489\n46018 68981\n97160 100000\n55284 82905\n50532 75790\n96932 100000\n66896 100000\n24311 36454\n60447 90691\n13447 20205\n73722 100000\n57218 85835\n52207 78321\n78015 100000\n33658 50483\n43689 65462\n78312 100000\n12368 18613\n4278 6433\n63410 95143\n27699 41525\n25203 37785\n85519 100000\n40593 60826\n21838 32765\n79437 100000\n94790 100000\n60240 90386\n77388 100000\n89056 100000\n87679 100000\n16504 24769\n25846 38759\n50595 75885\n42110 63122\n93750 100000\n46491 69710\n84327 100000\n91583 100000\n25058 37573\n47492 71226\n70191 100000\n20329 30481\n62544 93826\n84126 100000\n62860 94312\n53114 79681\n24032 36043\n56091 84117\n20094 30138\n12878 19367\n7839 11817\n26330 39482\n47250 70857\n94539 100000\n22817 34235\n71753 100000\n89074 100000\n11210 16881\n42969 64380\n83470 100000\n9579 14408\n26487 39715\n47102 70628\n73330 100000\n40024 59975\n80046 100000\n2967 4459\n93628 100000\n30196 45256\n73856 100000\n17825 26738\n42661 63934\n25922 38872\n99287 100000\n34726 52090\n61156 91756\n63083 94661\n19395 29075\n44710 67002\n46171 69215\n67871 100000\n50782 76178\n26238 39348\n47355 71013\n29764 44630\n46331 69467\n18428 27614\n13742 20633\n95096 100000\n20654 30976\n99389 100000\n79511 100000\n48387 72559\n43577 65290\n35625 53426\n37673 56467\n6775 10231\n32504 48751\n14882 22326\n10177 15334\n41661 62447\n15189 22795\n26930 40367\n71576 100000\n66637 99960\n5726 8636\n56475 84703\n20309 30453\n24698 37024\n91956 100000\n79214 100000\n52840 79259\n4862 7328\n12875 19362\n49046 73553\n14339 21526\n83585 100000\n87028 100000\n65726 98586\n74360 100000\n19437 29139\n99503 100000\n85819 100000\n37306 55937\n76850 100000\n48947 73405\n6149 9284\n12192 18352\n41543 62265\n83464 100000\n40011 59955\n99067 100000\n46737 70084\n46110 69122\n49677 74517\n3045 4578\n35438 53143\n26670 39986\n32274 48397\n48566 72839\n32417 48614\n85735 100000\n60006 90036\n36017 54011\n50509 75758\n97164 100000\n18192 27263\n16452 24692\n98627 100000\n98965 100000\n31295 46915\n42488 63684\n55069 82573\n21058 31573\n23622 35438\n96822 100000\n95048 100000\n36965 55432\n12244 18433\n94116 100000\n97465 100000\n46303 69426\n41331 61936\n18705 28043\n51782 77679\n8627 12993\n38852 58210\n70170 100000\n64032 96070\n86808 100000\n97286 100000\n67977 100000\n35391 53077\n4947 7460\n77136 100000\n59975 89986\n502 750\n17629 26445\n63378 95091\n6996 10556\n8192 12333\n81864 100000\n53479 80224\n93043 100000\n16000 24006\n91655 100000\n14497 21758\n70072 100000\n37215 55790\n17491 26244\n38912 58304\n70218 100000\n68270 100000\n37805 56664\n93018 100000\n23720 35585\n41742 62569\n41091 61593\n15142 22723\n32223 48319\n74560 100000\n67562 100000\n91555 100000\n66823 100000\n31195 46761\n93928 100000\n69793 100000\n52793 79187\n82625 100000\n12881 19371\n95175 100000\n38702 57987\n71720 100000\n18629 27919\n33694 50534\n84414 100000\n95341 100000\n49571 74354\n87804 100000\n91575 100000\n91903 100000\n5240 7905\n27518 41251\n88149 100000\n42735 64032\n15937 23907\n82858 100000\n70065 100000\n89251 100000\n37216 55792\n19305 28946\n48733 73090\n73682 100000\n96579 100000\n32474 48703\n68395 100000\n81910 100000\n63356 95058\n40154 60172\n69828 100000\n82204 100000\n27545 41290\n33411 50112\n23270 34916\n58599 87901\n24516 36755\n30575 45833\n32774 49154\n43296 64882\n73335 100000\n72009 100000\n60618 90943\n6667 10072\n38529 57742\n18294 27412\n54591 81871\n63188 94824\n73030 100000\n59174 88763\n48445 72648\n98510 100000\n27999 41985\n67646 100000\n52401 78607\n31515 47249\n35783 53659\n51490 77242\n69351 100000\n60880 91336\n10734 16169\n66308 99463\n93714 100000\n95593 100000\n81499 100000\n19745 29611\n1161 1753\n63720 95597\n79955 100000\n92377 100000\n47519 71263\n68116 100000\n27709 41539\n72889 100000\n49100 73625\n15370 23072\n720 1074\n91294 100000\n31531 47271\n7219 10878\n28917 43355\n81525 100000\n38107 57104\n28430 42618\n42574 63804\n22803 34216\n23418 35131\n70726 100000\n76976 100000\n50207 75303\n44655 66923\n25612 38401\n36280 54405\n29081 43598\n59822 89755\n78648 100000\n2664 4001\n2192 3284\n87274 100000\n79110 100000\n30063 45066\n47571 71343\n64517 96791\n60007 90037\n54462 81684\n15847 23770\n17279 25922\n11880 17876\n83628 100000\n59815 89745\n13417 20163\n96492 100000\n53032 79546\n1008 1514\n20182 30271\n13581 20391\n9073 13654\n65288 97929\n12166 18315\n59896 89866\n94525 100000\n4577 6885\n77428 100000\n71293 100000\n73323 100000\n14262 21398\n76953 100000\n57552 86343\n65338 98006\n21088 31614\n59076 88618\n41269 61849\n16163 24251\n43653 65410\n11208 16878\n9836 14804\n70957 100000\n83769 100000\n99411 100000\n22561 33856\n4931 7435\n82343 100000\n87136 100000\n84474 100000\n18571 27827\n13918 20897\n74006 100000\n37480 56184\n92936 100000\n19920 29873\n25168 37735\n56173 84246\n1697 2550\n1422 2139\n44834 67179\n61742 92631\n29627 44420\n28329 42468\n61412 92141\n2973 4465\n96593 100000\n56713 85065\n12800 19261\n84616 100000\n25094 37627\n27492 41207\n20451 30662\n59161 88747\n38707 57993\n62233 93363\n28375 42534\n74339 100000\n51880 77821\n3285 4939\n19394 29074\n69717 100000\n64194 96307\n58639 87965\n87349 100000\n12388 18641\n4773 7191\n3111 4675\n38737 58036\n29638 44435\n51316 76994\n76536 100000\n37222 55803\n66582 99877\n68320 100000\n41050 61533\n25893 38827\n49608 74410\n11885 17882\n53561 80351\n67306 100000\n26614 39899\n82208 100000\n35591 53374\n17878 26822\n22825 34248\n57444 86180\n23356 35046\n14813 22228\n45519 68210\n92257 100000\n91252 100000\n12724 19152\n7085 10683\n70402 100000\n72197 100000\n12084 18187\n1310 1970\n68731 100000\n65778 98659\n42345 63471\n5247 7917\n96052 100000\n2857 4291\n82888 100000\n84309 100000\n53116 79684\n67578 100000\n74697 100000\n45487 68158\n70996 100000\n77878 100000\n34915 52368\n27458 41154\n37369 56026\n33779 50659\n34725 52088\n4253 6396\n78366 100000\n59797 89721\n15166 22757\n49533 74294\n93697 100000\n37132 55674\n93142 100000\n87947 100000\n52085 78134\n66293 99437\n63060 94624\n32404 48593\n54509 81757\n91641 100000\n77026 100000\n49679 74521\n19355 29018\n24098 36139\n76449 100000\n23889 35827\n66149 99224\n6979 10533\n83070 100000\n31792 47666\n51210 76839\n89762 100000\n11983 18031\n12469 18765\n61902 92872\n66421 99631\n29187 43761\n37781 56626\n94245 100000\n2594 3897\n73605 100000\n63814 95744\n59163 88750\n64500 96763\n38379 57516\n84534 100000\n20849 31254\n31210 46786\n21246 31851\n44197 66226\n18225 27308\n51315 76992\n34937 52401\n6549 9892\n80142 100000\n27872 41786\n40152 60169\n68286 100000\n99870 100000\n46324 69456\n83532 100000\n26222 39325\n20124 30182\n43003 64430\n79105 100000\n99315 100000\n43830 65673\n15541 23325\n65999 98993\n77661 100000\n287 421\n68440 100000\n84188 100000\n25899 38835\n3996 6000\n34089 51122\n60048 90098\n88008 100000\n46503 69727\n19231 28834\n8142 12258\n35463 53181\n76553 100000\n75497 100000\n93889 100000\n83248 100000\n77502 100000\n52684 79027\n16352 24545\n91775 100000\n59318 88991\n85531 100000\n62650 93993\n65137 97714\n11517 17339\n59987 90005\n67967 100000\n23904 35851\n32121 48166\n15757 23642\n86327 100000\n97365 100000\n39812 59653\n983 1476\n57758 86650\n96521 100000\n3608 5418\n53564 80355\n58649 87980\n47940 71896\n86470 100000\n36813 55209\n86921 100000\n40810 61158\n15573 23375\n82371 100000\n74728 100000\n19056 28574\n76207 100000\n88857 100000\n78792 100000\n72487 100000\n84546 100000\n14190 21295\n11968 18011\n78309 100000\n18681 28004\n21180 31755\n39072 58533\n24424 36620\n70754 100000\n65389 98083\n29954 44910\n70358 100000\n59569 89374\n52766 79145\n7034 10607\n819 1230\n65517 98275\n23824 35730\n2264 3400\n60988 91500\n15672 23523\n21657 32481\n99435 100000\n86778 100000\n23901 35846\n26610 39892\n62495 93754\n91656 100000\n49028 73527\n25873 38796\n736 1101\n34716 52076\n67612 100000\n12997 19543\n48038 72037\n97524 100000\n41738 62563\n81359 100000\n66530 99798\n75532 100000\n56176 84252\n94255 100000\n27570 41330\n58375 87573\n28161 42218\n62982 94505\n74120 100000\n62928 94419\n40261 60331\n37066 55577\n98065 100000\n92467 100000\n14523 21797\n82632 100000\n32099 48135\n95314 100000\n16308 24478\n83641 100000\n77813 100000\n4938 7447\n88923 100000\n92856 100000\n87973 100000\n13767 20668\n64086 96148\n2230 3344\n93515 100000\n31814 47704\n24617 36903\n26599 39875\n59280 88936\n60655 90998\n99460 100000\n20705 31045\n57688 86546\n23393 35098\n40551 60764\n61440 92182\n70047 100000\n27578 41341\n9590 14424\n9976 15028\n83387 100000\n3581 5378\n47415 71103\n16165 24255\n52687 79031\n38067 57045\n23084 34636\n84337 100000\n25955 38922\n52719 79081\n98261 100000\n74811 100000\n81100 100000\n94039 100000\n52778 79162\n7697 11602\n91357 100000\n58631 87953\n15335 23016\n7969 12010\n5710 8615\n57364 86064\n11351 17089\n94935 100000\n79878 100000\n92168 100000\n71787 100000\n85279 100000\n78891 100000\n92846 100000\n89386 100000\n81770 100000\n38832 58178\n37526 56251\n13430 20182\n19061 28580\n93143 100000\n75535 100000\n65940 98899\n97987 100000\n86903 100000\n5171 7804\n23349 35035\n43015 64449\n40776 61107\n12269 18471\n59936 89928\n83712 100000\n87125 100000\n35156 52725\n79765 100000\n47732 71587\n44117 66107\n66122 99184\n14267 21408\n3250 4884\n83929 100000\n54982 82437\n18992 28477\n50217 75316\n48425 72616\n11976 18022\n99773 100000\n97774 100000\n56175 84250\n80200 100000\n58716 88077\n21165 31731\n23605 35416\n8805 13250\n80499 100000\n65132 97707\n69095 100000\n36220 54307\n93592 100000\n53723 80596\n62494 93753\n53203 79813\n22743 34122\n45402 68037\n87310 100000\n29610 44392\n90140 100000\n78982 100000\n53102 79660\n26484 39711\n73817 100000\n21517 32263\n89872 100000\n63254 94908\n80873 100000\n99009 100000\n61309 91981\n79401 100000\n33568 50346\n66578 99870\n99832 100000\n86483 100000\n12082 18183\n72200 100000\n55114 82644\n14395 21609\n14298 21461\n69538 100000\n15075 22618\n38939 58341\n4422 6654\n19461 29177\n25751 38615\n73208 100000\n49498 74237\n288 422\n20365 30534\n70028 100000\n66904 100000\n53638 80471\n29550 44308\n4370 6571\n27046 40540\n65984 98968\n13780 20687\n71430 100000\n81421 100000\n96812 100000\n26113 39165\n18358 27510\n69628 100000\n37833 56702\n47197 70776\n89565 100000\n60697 91064\n88627 100000\n95582 100000\n49775 74659\n73167 100000\n48572 72847\n68035 100000\n71804 100000\n88075 100000\n77295 100000\n27575 41337\n46135 69159\n31436 47133\n69878 100000\n72373 100000\n28567 42825\n39374 58984\n22584 33889\n53555 80342\n25489 38211\n55657 83467\n47715 71561\n17667 26503\n42011 62971\n6480 9787\n48317 72459\n51799 77703\n99388 100000\n74105 100000\n34461 51681\n49179 73748\n91424 100000\n71859 100000\n25833 38741\n47091 70615\n44604 66847\n38330 57443\n91453 100000\n26023 39025\n88428 100000\n27057 40557\n33059 49594\n33741 50604\n46928 70375\n24136 36196\n93495 100000\n84645 100000\n34564 51845\n10577 15928\n33163 49750\n44781 67106\n89626 100000\n41113 61627\n39292 58861\n45656 68431\n95778 100000\n86120 100000\n8024 12085\n34792 52189\n3442 5179\n95646 100000\n12917 19420\n76033 100000\n24856 37265\n91585 100000\n56526 84779\n22660 33999\n31499 47226\n50204 75299\n17463 26200\n93586 100000\n91675 100000\n88958 100000\n6432 9715\n98255 100000\n39980 59912\n1997 2990\n54867 82277\n61462 92214\n45019 67452\n36723 55075\n16301 24465\n72176 100000\n51243 76885\n23911 35864\n37230 55815\n35543 53301\n52979 79465\n75196 100000\n96014 100000\n34867 52296\n14070 21116\n20565 30844\n23497 35253\n17322 25990\n42057 63038\n69063 100000\n32825 49231\n4539 6825\n79327 100000\n35626 53427\n61219 91850\n37827 56692\n86455 100000\n6227 9402\n58847 88271\n22311 33491\n43001 64427\n33647 50466\n67162 100000\n67561 100000\n62052 93091\n13436 20192\n59085 88631\n72817 100000\n87179 100000\n72654 100000\n22155 33253\n14732 22104\n96916 100000\n44264 66327\n65402 98103\n76235 100000\n26915 40344\n88673 100000\n15223 22853\n77731 100000\n90977 100000\n20516 30764\n77167 100000\n30279 45380\n426 628\n43612 65344\n95747 100000\n66191 99282\n79122 100000\n35332 52983\n87194 100000\n44353 66457\n56226 84330\n1630 2448\n6689 10106\n84445 100000\n30712 46035\n39288 58854\n13259 19927\n59234 88863\n64262 96411\n74467 100000\n85054 100000\n95134 100000\n99565 100000\n77674 100000\n91093 100000\n1023 1538\n3000 4509\n69949 100000\n16200 24310\n93834 100000\n89510 100000\n92097 100000\n5069 7644\n7365 11099\n75548 100000\n4396 6616\n24411 36600\n79645 100000\n66815 100000\n53356 80027\n31298 46920\n40494 60675\n81375 100000\n53033 79547\n19617 29417\n49848 74760\n49548 74319\n23058 34597\n73418 100000\n91894 100000\n39960 59880\n96671 100000\n47398 71080\n93478 100000\n64466 96717\n3838 5759\n89683 100000\n49900 74839\n2353 3539\n68971 100000\n23969 35953\n59508 89279\n36430 54635\n32992 49487\n69601 100000\n38410 57562\n90057 100000\n31979 47950\n29808 44691\n97751 100000\n98743 100000\n98163 100000\n74299 100000\n96826 100000\n15623 23450\n3217 4833\n6633 10018\n98972 100000\n81237 100000\n91356 100000\n56265 84384\n40093 60081\n75635 100000\n73192 100000\n32338 48495\n54269 81410\n58154 87246\n63092 94675\n32649 48966\n92202 100000\n32158 48222\n29426 44121\n47742 71600\n80799 100000\n21612 32408\n18417 27599\n21967 32964\n76058 100000\n94106 100000\n37519 56240\n2311 3472\n19955 29924\n38708 57995\n83372 100000\n83404 100000\n88016 100000\n97333 100000\n31955 47910\n82498 100000\n65169 97760\n41475 62159\n70015 100000\n43323 64921\n14093 21148\n10420 15693\n25768 38640\n52139 78220\n92056 100000\n96845 100000\n21790 32695\n9637 14497\n51389 77102\n84058 100000\n51280 76941\n42388 63536\n66281 99421\n83502 100000\n17172 25764\n51200 76822\n91560 100000\n84269 100000\n90090 100000\n15843 23766\n84425 100000\n45120 67611\n3954 5934\n18000 26989\n53659 80503\n4249 6389\n57640 86474\n89194 100000\n41211 61762\n80425 100000\n30415 45576\n50429 75636\n79929 100000\n47773 71648\n87157 100000\n23659 35496\n66916 100000\n42040 63014\n75000 100000\n28987 43456\n56066 84081\n27099 40620\n96586 100000\n30809 46189\n41495 62192\n55924 83873\n39450 59096\n15693 23553\n48255 72367\n26653 39960\n38173 57205\n96124 100000\n6040 9125\n24669 36985\n17785 26680\n67591 100000\n96634 100000\n36856 55274\n62292 93448\n5592 8436\n26710 40048\n24368 36534\n17350 26032\n85445 100000\n27480 41187\n22579 33882\n29138 43680\n76542 100000\n21935 32917\n28806 43181\n17917 26872\n77201 100000\n43260 64825\n22973 34474\n9703 14593\n44490 66673\n83321 100000\n90943 100000\n44927 67317\n48828 73227\n84099 100000\n68118 100000\n57291 85951\n85478 100000\n9407 14152\n63990 96010\n78828 100000\n93000 100000\n97437 100000\n66222 99327\n87082 100000\n53770 80671\n34618 51926\n11173 16826\n80457 100000\n75033 100000\n95964 100000\n77453 100000\n46 70\n33206 49812\n72884 100000\n74232 100000\n9886 14881\n91289 100000\n72254 100000\n77726 100000\n83613 100000\n65038 97566\n18870 28286\n87608 100000\n30060 45062\n57162 85752\n1257 1892\n46445 69643\n12215 18389\n82010 100000\n38996 58426\n56986 85484\n11392 17153\n75881 100000\n57778 86680\n94973 100000\n35564 53333\n93163 100000\n22076 33131\n19197 28789\n6721 10153\n28752 43100\n2408 3616\n22379 33587\n8073 12160\n4500 6770\n7758 11695\n74636 100000\n29854 44759\n18596 27867\n22044 33088\n16075 24123\n23377 35075\n53798 80710\n40919 61325\n63922 95909\n26806 40182\n25270 37883\n20579 30869\n10682 16087\n51629 77457\n64137 96223\n70550 100000\n54637 81936\n28462 42666\n31937 47882\n16453 24694\n81423 100000\n48100 72131\n22285 33455\n47389 71064\n59881 89843\n2314 3476\n15097 22653\n51886 77832\n13230 19885\n6807 10279\n73823 100000\n40482 60658\n91264 100000\n14590 21899\n69975 100000\n51269 76924\n56234 84341\n97534 100000\n14358 21553\n603 904\n22458 33713\n77409 100000\n83035 100000\n94668 100000\n38833 58180\n44751 67064\n94588 100000\n77362 100000\n29748 44609\n67554 100000\n10310 15529\n5960 9003\n23699 35552\n94752 100000\n82958 100000\n85045 100000\n20151 30222\n13167 19794\n13137 19749\n84603 100000\n36641 54954\n46081 69081\n15860 23788\n9036 13599\n9298 13987\n11316 17036\n32915 49365\n85301 100000\n12692 19101\n90212 100000\n28101 42132\n15738 23614\n14306 21473\n54202 81308\n89238 100000\n53084 79632\n16378 24582\n46282 69395\n87879 100000\n60942 91432\n93357 100000\n8389 12627\n95497 100000\n30143 45183\n53260 79895\n40975 61413\n75509 100000\n16201 24312\n31665 47472\n49695 74546\n5096 7685\n41078 61574\n27104 40629\n57022 85540\n44292 66370\n57111 85674\n26463 39677\n1353 2037\n99808 100000\n66551 99830\n36086 54111\n59002 88506\n53813 80728\n61558 92362\n89805 100000\n65714 98568\n71742 100000\n41627 62394\n70965 100000\n83384 100000\n76989 100000\n81645 100000\n50844 76275\n89351 100000\n30620 45900\n85806 100000\n55938 83895\n27536 41277\n67598 100000\n63773 95680\n40925 61335\n19440 29143\n84085 100000\n64355 96553\n42029 62998\n82778 100000\n47248 70854\n57051 85583\n8765 13190\n74744 100000\n93756 100000\n71272 100000\n65059 97593\n19676 29503\n63317 95001\n38917 58309\n78731 100000\n48159 72219\n76392 100000\n2359 3548\n98947 100000\n6147 9280\n18387 27555\n48641 72955\n71470 100000\n46904 70339\n21310 31943\n95278 100000\n42610 63860\n78148 100000\n49388 74068\n84339 100000\n44684 66966\n5521 8328\n48705 73050\n52943 79410\n10946 16486\n49633 74450\n54464 81688\n17348 26029\n8403 12649\n48815 73208\n37821 56683\n58682 88029\n99047 100000\n22859 34299\n11206 16875\n34560 51837\n74123 100000\n3107 4668\n54097 81157\n79947 100000\n99837 100000\n65606 98411\n12495 18806\n14061 21104\n12821 19290\n66359 99541\n88340 100000\n13309 19998\n47791 71675\n62696 94059\n21729 32595\n21892 32851\n22066 33117\n57990 86999\n21923 32899\n37108 55638\n30823 46212\n28598 42869\n51719 77590\n31341 46984\n48265 72383\n20276 30409\n23175 34768\n94318 100000\n18564 27817\n40174 60203\n18190 27260\n44835 67181\n66554 99834\n47766 71637\n64124 96207\n81616 100000\n89562 100000\n80408 100000\n6769 10223\n68077 100000\n21453 32168\n13351 20064\n95841 100000\n47333 70984\n81123 100000\n45248 67804\n78884 100000\n4002 6008\n92456 100000\n40165 60189\n93670 100000\n44692 66976\n2487 3733\n80170 100000\n67840 100000\n30742 46083\n44273 66340\n88487 100000\n82963 100000\n46959 70423\n68153 100000\n57180 85780\n41449 62119\n99660 100000\n3923 5893\n31505 47236\n56149 84209\n95965 100000\n48744 73106\n9652 14518\n60477 90734\n53282 79927\n39784 59612\n2263 3399\n18503 27728\n29368 44028\n26840 40232\n7973 12016\n70504 100000\n50941 76428\n67347 100000\n79395 100000\n81959 100000\n31925 47863\n68420 100000\n74882 100000\n91684 100000\n69567 100000\n92549 100000\n65871 98793\n80106 100000\n98637 100000\n89878 100000\n4381 6587\n28373 42531\n74452 100000\n26263 39388\n5952 8990\n64141 96230\n36676 55000\n81037 100000\n37169 55725\n85454 100000\n88736 100000\n36257 54368\n24589 36859\n67421 100000\n60431 90666\n67299 100000\n33740 50602\n7005 10568\n2763 4152\n89569 100000\n7417 11177\n42580 63815\n36163 54229\n95433 100000\n43779 65595\n2706 4067\n12313 18532\n78874 100000\n96196 100000\n11244 16934\n91425 100000\n85497 100000\n38644 57907\n68939 100000\n80353 100000\n21833 32758\n67174 100000\n61184 91797\n96240 100000\n7358 11090\n86952 100000\n42530 63744\n77439 100000\n5241 7907\n92354 100000\n35466 53187\n38023 56983\n48735 73093\n42296 63396\n43249 64806\n95034 100000\n76027 100000\n67915 100000\n54210 81321\n93641 100000\n87696 100000\n1418 2135\n41128 61647\n36112 54153\n70343 100000\n34672 52006\n35697 53528\n30583 45846\n10876 16379\n7711 11625\n19937 29896\n15454 23192\n69534 100000\n14448 21687\n7496 11299\n24190 36278\n68888 100000\n39149 58647\n69500 100000\n57446 86182\n25303 37933\n83397 100000\n13434 20188\n60874 91326\n44138 66136\n37193 55761\n78540 100000\n98161 100000\n59406 89122\n90210 100000\n83867 100000\n99217 100000\n46277 69387\n77825 100000\n53252 79885\n47233 70828\n90918 100000\n37677 56475\n29849 44752\n69246 100000\n92269 100000\n23428 35145\n27912 41846\n98975 100000\n98446 100000\n83444 100000\n11927 17947\n98754 100000\n47866 71786\n20465 30685\n23675 35519\n68161 100000\n75606 100000\n45755 68582\n91083 100000\n13665 20518\n11223 16900\n24097 36138\n35932 53882\n49094 73617\n43705 65487\n50338 75493\n95780 100000\n32531 48793\n19298 28936\n66641 99966\n18849 28257\n9735 14645\n76699 100000\n19654 29469\n29956 44914\n70567 100000\n83901 100000\n85358 100000\n59229 88854\n31194 46759\n6165 9308\n72431 100000\n2150 3225\n20017 30024\n38519 57730\n79115 100000\n34770 52155\n59525 89306\n24785 37156\n43213 64752\n85330 100000\n86109 100000\n35730 53580\n13973 20973\n7581 11424\n25688 38518\n71025 100000\n29018 43506\n60049 90099\n65129 97702\n31444 47146\n52498 78747\n63697 95560\n57435 86164\n66316 99475\n75251 100000\n30345 45473\n871 1308\n11755 17686\n37033 55526\n17583 26382\n10499 15807\n74983 100000\n22558 33852\n22667 34010\n77322 100000\n90874 100000\n36753 55117\n85847 100000\n43862 65719\n21000 31478\n95471 100000\n48581 72862\n10195 15360\n42873 64232\n40815 61165\n78399 100000\n29839 44736\n45144 67649\n43376 64992\n22390 33603\n77159 100000\n69594 100000\n25680 38503\n16205 24317\n24630 36922\n47205 70788\n52914 79370\n57917 86886\n68271 100000\n91011 100000\n70477 100000\n11694 17597\n70208 100000\n39999 59940\n7048 10631\n92212 100000\n714 1063\n40236 60294\n91228 100000\n3839 5761\n54522 81773\n69052 100000\n4056 6086\n94199 100000\n27367 41016\n28691 43008\n4436 6677\n38051 57021\n56680 85016\n60530 90818\n65580 98371\n32334 48488\n38175 57208\n6650 10044\n37337 55980\n3046 4580\n56674 85009\n88000 100000\n88599 100000\n83365 100000\n42878 64240\n73004 100000\n43446 65098\n52658 78989\n99505 100000\n30317 45433\n58271 87423\n13796 20713\n84614 100000\n97817 100000\n50643 75954\n30908 46338\n6338 9577\n2047 3066\n66737 100000\n53326 79988\n81299 100000\n66298 99444\n69802 100000\n83408 100000\n88866 100000\n46889 70315\n60867 91315\n93173 100000\n24920 37360\n23887 35824\n10489 15794\n50290 75425\n43996 65922\n8115 12221\n76268 100000\n54437 81650\n31337 46978\n89484 100000\n68461 100000\n95142 100000\n3007 4519\n26828 40213\n71370 100000\n29172 43735\n52763 79140\n78248 100000\n51071 76627\n31536 47278\n25237 37835\n78105 100000\n18568 27823\n28687 43002\n37168 55723\n77342 100000\n30829 46220\n638 954\n13207 19849\n46764 70126\n86143 100000\n52227 78349\n99129 100000\n9269 13943\n83932 100000\n63629 95462\n79101 100000\n57456 86199\n81633 100000\n18689 28018\n59184 88779\n70910 100000\n26874 40283\n59977 89989\n19669 29492\n28469 42678\n59451 89189\n13496 20268\n67606 100000\n45781 68621\n29644 44444\n72075 100000\n38603 57851\n24282 36411\n45224 67771\n73678 100000\n30927 46370\n90832 100000\n40825 61180\n66206 99303\n52420 78637\n22093 33156\n22645 33976\n8539 12863\n34852 52274\n19295 28931\n65770 98648\n60513 90791\n13360 20078\n61356 92057\n39032 58480\n94485 100000\n34657 51984\n27118 40649\n96556 100000\n32453 48670\n64306 96479\n8030 12095\n83222 100000\n8125 12234\n95072 100000\n10867 16367\n1582 2377\n62916 94400\n50285 75417\n6025 9101\n62023 93051\n52135 78213\n13299 19984\n17991 26974\n41307 61900\n81867 100000\n27589 41360\n11396 17158\n47377 71046\n88223 100000\n85686 100000\n83063 100000\n33630 50438\n83315 100000\n41121 61639\n27479 41185\n97541 100000\n75799 100000\n828 1243\n89012 100000\n67007 100000\n5801 8747\n57786 86691\n58878 88315\n1676 2521\n3301 4964\n88466 100000\n8173 12307\n71055 100000\n28939 43385\n37859 56742\n68456 100000\n30532 45767\n432 638\n79772 100000\n36740 55100\n88053 100000\n335 489\n40016 59964\n96848 100000\n5474 8259\n94498 100000\n48491 72719\n39684 59455\n77764 100000\n20549 30817\n86603 100000\n22935 34415\n42398 63551\n99774 100000\n65834 98739\n9166 13791\n88431 100000\n34146 51206\n8439 12707\n19331 28985\n76950 100000\n9450 14216\n52656 78986\n46537 69783\n71351 100000\n36810 55204\n49186 73757\n97768 100000\n94781 100000\n93857 100000\n24739 37088\n20499 30738\n79010 100000\n29616 44402\n75379 100000\n32465 48689\n9942 14975\n21774 32668\n85268 100000\n78158 100000\n65427 98139\n17863 26798\n97925 100000\n66327 99490\n91865 100000\n54628 81923\n99374 100000\n57938 86919\n27354 40997\n60778 91174\n37867 56753\n15970 23959\n33776 50656\n84788 100000\n33758 50628\n1094 1642\n36854 55272\n96770 100000\n16016 24030\n85181 100000\n81403 100000\n97176 100000\n42552 63773\n96118 100000\n58672 88015\n42091 63091\n39674 59438\n56170 84242\n49720 74577\n64780 97177\n82977 100000\n78868 100000\n99981 100000\n67893 100000\n77678 100000\n95043 100000\n35979 53956\n92701 100000\n65935 98892\n33521 50278\n11809 17762\n53215 79833\n47229 70821\n13238 19896\n34247 51357\n74711 100000\n92851 100000\n43501 65177\n96806 100000\n29982 44949\n47949 71907\n54570 81842\n21035 31533\n2712 4077\n6529 9863\n3187 4787\n46158 69196\n77700 100000\n99599 100000\n5991 9052\n32924 49379\n64575 96875\n83190 100000\n23529 35297\n65034 97561\n52350 78532\n38647 57910\n3548 5325\n84942 100000\n91512 100000\n94021 100000\n14018 21039\n54926 82362\n50845 76277\n38320 57429\n42360 63495\n83166 100000\n92196 100000\n75022 100000\n8791 13230\n1641 2464\n76738 100000\n78306 100000\n66520 99782\n12409 18672\n92262 100000\n16434 24666\n47993 71966\n96554 100000\n83341 100000\n29012 43495\n91617 100000\n27160 40712\n2960 4450\n5913 8927\n52654 78983\n10107 15231\n97031 100000\n36518 54769\n6108 9223\n38012 56967\n94833 100000\n36680 55005\n70035 100000\n30765 46119\n17078 25623\n11812 17767\n51085 76647\n15688 23545\n87564 100000\n84882 100000\n37647 56431\n25746 38607\n55617 83407\n55910 83851\n36376 54552\n72387 100000\n88936 100000\n50949 76441\n28833 43225\n42084 63078\n10843 16333\n67508 100000\n30173 45224\n51767 77657\n86767 100000\n36749 55111\n30325 45444\n29731 44580\n96623 100000\n99643 100000\n5318 8027\n92636 100000\n10862 16360\n8171 12303\n76552 100000\n79409 100000\n4139 6216\n20886 31309\n27844 41745\n98304 100000\n70609 100000\n6541 9883\n43062 64525\n34629 51944\n33571 50350\n55368 83034\n36693 55024\n81744 100000\n27148 40695\n94043 100000\n3801 5703\n41974 62917\n523 782\n25104 37643\n86169 100000\n67848 100000\n81951 100000\n64876 97322\n81318 100000\n23302 34965\n26676 39995\n48356 72514\n95507 100000\n68948 100000\n41461 62139\n71230 100000\n74698 100000\n81752 100000\n61605 92425\n67671 100000\n43206 64740\n95910 100000\n56317 84466\n63545 95339\n85011 100000\n66588 99884\n29089 43609\n43363 64976\n19776 29653\n57951 86940\n90007 100000\n35847 53755\n71604 100000\n88921 100000\n74196 100000\n65100 97656\n48482 72703\n46869 70286\n53731 80610\n56407 84598\n35009 52507\n26466 39681\n37763 56599\n59260 88900\n34552 51825\n5601 8449\n52480 78721\n74483 100000\n14286 21441\n7863 11851\n83127 100000\n60199 90327\n34782 52174\n35188 52773\n3113 4678\n78650 100000\n94811 100000\n86665 100000\n89911 100000\n38921 58315\n60709 91082\n66391 99588\n97102 100000\n36470 54695\n15833 23753\n68150 100000\n43470 65134\n76707 100000\n37855 56737\n52723 79087\n8314 12507\n63149 94766\n21173 31745\n87355 100000\n92535 100000\n80254 100000\n26319 39470\n71137 100000\n28351 42501\n38428 57590\n65619 98431\n11523 17347\n78748 100000\n8272 12444\n56517 84764\n80774 100000\n50227 75329\n32914 49363\n21732 32599\n62802 94218\n61633 92463\n62318 93488\n47407 71093\n43106 64589\n17564 26353\n60338 90526\n75071 100000\n96525 100000\n25162 37726\n9469 14248\n39615 59349\n51038 76577\n537 804\n43942 65840\n30578 45839\n88499 100000\n85172 100000\n81304 100000\n79826 100000\n32768 49146\n86445 100000\n96316 100000\n6528 9862\n32374 48548\n63565 95366\n65375 98061\n83494 100000\n12272 18475\n50490 75729\n24861 37272\n86136 100000\n66456 99684\n85576 100000\n84545 100000\n87154 100000\n52320 78485\n75452 100000\n68497 100000\n64714 97090\n64324 96505\n13505 20281\n53822 80740\n52913 79368\n55622 83415\n3090 4644\n62367 93567\n26723 40064\n11165 16815\n44674 66953\n10154 15299\n51685 77543\n97417 100000\n35385 53070\n41127 61646\n65867 98787\n267 393\n67775 100000\n61456 92207\n71606 100000\n61977 92984\n2725 4095\n33463 50196\n86133 100000\n42895 64266\n56920 85382\n75419 100000\n32897 49340\n98271 100000\n93531 100000\n72999 100000\n10308 15526\n1411 2125\n15667 23515\n59622 89456\n52371 78562\n18807 28192\n62463 93707\n10617 15990\n24884 37308\n48198 72278\n53547 80327\n77994 100000\n24326 36478\n58500 87757\n98808 100000\n14840 22268\n978 1467\n26026 39030\n16568 24861\n33313 49963\n17928 26889\n22889 34346\n54075 81128\n53818 80735\n84554 100000\n8977 13504\n45044 67493\n63574 95380\n65472 98209\n85760 100000\n57756 86647\n12682 19086\n13232 19887\n49777 74661\n58665 88004\n73451 100000\n265 390\n26258 39380\n36386 54567\n39127 58614\n2930 4407\n54991 82452\n45743 68562\n2508 3766\n44845 67199\n36240 54341\n64057 96107\n19861 29780\n7991 12041\n94468 100000\n76157 100000\n50395 75584\n2280 3424\n88472 100000\n16910 25357\n59030 88545\n98224 100000\n92393 100000\n28356 42507\n91358 100000\n49383 74062\n29524 44270\n83323 100000\n25312 37945\n20881 31302\n48219 72311\n92302 100000\n17199 25803\n52451 78682\n23641 35468\n72888 100000\n77601 100000\n97171 100000\n40158 60180\n49830 74733\n71981 100000\n28003 41991\n26434 39639\n12125 18252\n50765 76154\n62553 93840\n6428 9708\n51843 77768\n44062 66021\n37351 55999\n58919 88377\n92991 100000\n24528 36770\n77069 100000\n9905 14912\n87667 100000\n18753 28115\n88768 100000\n93921 100000\n449 666\n89469 100000\n39169 58679\n68597 100000\n36709 55051\n21829 32754\n60911 91382\n388 570\n67543 100000\n4759 7170\n62304 93466\n70583 100000\n40316 60412\n16053 24089\n58988 88485\n34422 51624\n15174 22770\n87195 100000\n76985 100000\n51535 77313\n74086 100000\n76006 100000\n47157 70711\n74287 100000\n22728 34099\n35104 52641\n84093 100000\n88020 100000\n96563 100000\n99741 100000\n79810 100000\n13475 20242\n82978 100000\n49105 73632\n96288 100000\n30335 45459\n36182 54257\n67664 100000\n51301 76970\n56743 85110\n92128 100000\n79150 100000\n92876 100000\n11931 17952\n49007 73494\n32745 49111\n77957 100000\n5723 8633\n92110 100000\n47314 70952\n62203 93316\n46001 68956\n83403 100000\n84694 100000\n31788 47662\n30155 45201\n52777 79161\n92849 100000\n97028 100000\n86830 100000\n80382 100000\n89541 100000\n93191 100000\n61459 92211\n77569 100000\n81920 100000\n98498 100000\n54857 82265\n22673 34018\n53896 80854\n12761 19203\n30307 45420\n77474 100000\n9325 14027\n58305 87475\n6568 9923\n87382 100000\n39281 58844\n59148 88727\n97651 100000\n968 1453\n56019 84012\n20250 30369\n22059 33107\n39200 58727\n44988 67411\n52239 78367\n59711 89590\n91505 100000\n61664 92510\n95776 100000\n17671 26510\n61036 91571\n52650 78977\n92853 100000\n215 319\n21092 31621\n47656 71474\n58337 87521\n54815 82195\n75242 100000\n66221 99326\n30752 46101\n23964 35946\n98143 100000\n41033 61507\n98961 100000\n80679 100000\n82951 100000\n78855 100000\n75339 100000\n66280 99419\n94358 100000\n98252 100000\n94604 100000\n30305 45416\n55277 82894\n1767 2646\n90124 100000\n26179 39262\n54166 81255\n62389 93598\n79625 100000\n21239 31840\n41397 62037\n44969 67382\n41271 61852\n3707 5564\n4367 6568\n8878 13354\n5996 9059\n48619 72922\n12391 18646\n47380 71051\n15912 23870\n54717 82054\n5314 8021\n48734 73092\n87819 100000\n51337 77029\n28601 42873\n18181 27248\n56733 85094\n68722 100000\n43748 65549\n7387 11133\n3002 4511\n58565 87856\n58419 87639\n8613 12973\n55385 83063\n35539 53294\n19509 29248\n52443 78669\n83015 100000\n81687 100000\n92686 100000\n77903 100000\n51751 77633\n46533 69775\n15468 23211\n18280 27392\n68401 100000\n99615 100000\n7141 10771\n27471 41174\n61402 92126\n98717 100000\n31548 47298\n84934 100000\n18796 28176\n70805 100000\n90525 100000\n64726 97104\n59239 88870\n71605 100000\n29150 43699\n78964 100000\n49903 74844\n92679 100000\n29097 43619\n76425 100000\n64286 96448\n81053 100000\n51118 76698\n32602 48897\n36439 54645\n32373 48546\n81138 100000\n57921 86892\n71068 100000\n57961 86953\n30839 46234\n72031 100000\n3429 5157\n60432 90667\n11732 17655\n48704 73048\n47599 71384\n87256 100000\n46065 69056\n54608 81898\n64364 96566\n89297 100000\n78070 100000\n14792 22193\n55728 83572\n80274 100000\n66669 100000\n97037 100000\n59386 89094\n54029 81054\n93584 100000\n29256 43862\n83716 100000\n95392 100000\n91018 100000\n67051 100000\n53804 80719\n53771 80672\n95742 100000\n55440 83145\n99822 100000\n89751 100000\n90669 100000\n37086 55605\n27529 41269\n63471 95233\n67050 100000\n15712 23582\n90704 100000\n77898 100000\n99543 100000\n70818 100000\n54303 81463\n88546 100000\n26574 39840\n63119 94716\n36767 55139\n22845 34278\n3304 4970\n57341 86025\n47140 70688\n53501 80256\n85618 100000\n31906 47837\n17256 25888\n67218 100000\n12715 19140\n63870 95828\n71475 100000\n87472 100000\n56997 85499\n41328 61931\n69396 100000\n71243 100000\n55549 83309\n42587 63825\n53984 80985\n58829 88247\n32627 48935\n20095 30140\n99844 100000\n52717 79079\n72530 100000\n92193 100000\n22106 33177\n85179 100000\n90563 100000\n10588 15944\n64558 96852\n40400 60541\n8999 13540\n4763 7177\n31234 46820\n61423 92156\n64971 97467\n18074 27096\n29048 43550\n42285 63382\n48966 73434\n11621 17495\n70926 100000\n8194 12335\n64167 96269\n44682 66964\n32506 48755\n30405 45560\n16040 24067\n16473 24723\n4419 6650\n2722 4092\n20420 30614\n27105 40630\n30152 45196\n20544 30809\n37788 56635\n86522 100000\n7251 10930\n71818 100000\n7178 10820\n55404 83090\n3019 4539\n5888 8888\n51422 77146\n89583 100000\n74495 100000\n75986 100000\n55559 83323\n17392 26094\n82605 100000\n76591 100000\n45691 68488\n4051 6080\n36969 55440\n58311 87484\n47383 71056\n65908 98848\n66943 100000\n20669 30996\n80986 100000\n31822 47714\n43931 65824\n33670 50501\n19742 29606\n9279 13958\n63841 95784\n82561 100000\n21985 32992\n55334 82981\n42227 63292\n35607 53398\n92449 100000\n61368 92074\n44370 66484\n78902 100000\n76516 100000\n72193 100000\n30377 45518\n2699 4055\n19153 28721\n16787 25178\n97643 100000\n54416 81622\n35876 53800\n61908 92883\n13558 20361\n38098 57091\n71585 100000\n18851 28260\n11249 16942\n89639 100000\n99475 100000\n18378 27540\n23057 34595\n37460 56155\n85634 100000\n49182 73752\n30631 45915\n85738 100000\n88234 100000\n33010 49517\n51173 76779\n82402 100000\n49656 74480\n516 770\n62206 93321\n95123 100000\n66711 100000\n98580 100000\n19535 29290\n4627 6963\n94836 100000\n53738 80622\n58253 87395\n28675 42985\n46783 70155\n28364 42518\n97634 100000\n33794 50680\n95411 100000\n93263 100000\n16630 24951\n58325 87506\n94447 100000\n25631 38432\n82113 100000\n24907 37342\n99139 100000\n31704 47534\n32723 49079\n5804 8751\n60666 91014\n53848 80783\n30897 46321\n82873 100000\n62091 93153\n91211 100000\n41388 62021\n59866 89821\n8385 12620\n12909 19409\n26769 40129\n8953 13470\n17407 26115\n10158 15306\n8576 12918\n8712 13116\n18860 28270\n10331 15562\n71543 100000\n12562 18906\n61744 92634\n68844 100000\n15299 22960\n30758 46109\n15983 23980\n53776 80678\n46344 69490\n16768 25150\n17792 26690\n26962 40411\n12617 18985\n33115 49680\n21456 32173\n52872 79305\n49879 74809\n15923 23887\n70973 100000\n3124 4695\n62237 93368\n14378 21584\n27842 41742\n79690 100000\n51959 77939\n2 4\n42492 63689\n3199 4806\n65123 97694\n85165 100000\n53426 80140\n96786 100000\n46952 70412\n82461 100000\n44950 67353\n21549 32308\n4612 6938\n14279 21429\n64367 96570\n81457 100000\n47434 71132\n94377 100000\n78147 100000\n14857 22288\n86870 100000\n80267 100000\n44840 67189\n47213 70799\n49431 74134\n59009 88515\n39751 59558\n36406 54597\n15228 22860\n1542 2322\n23455 35187\n71399 100000\n84776 100000\n61750 92644\n22714 34079\n33397 50091\n19369 29036\n45479 68146\n84692 100000\n48514 72757\n67974 100000\n19848 29759\n51562 77354\n57836 86761\n65022 97542\n39390 59011\n66722 100000\n92077 100000\n71019 100000\n96195 100000\n40492 60672\n72790 100000\n41510 62216\n68646 100000\n28124 42162\n55177 82737\n16515 24784\n70816 100000\n26575 39841\n81997 100000\n80513 100000\n9875 14862\n65 98\n20788 31166\n77645 100000\n36926 55375\n57855 86790\n55865 83783\n59840 89784\n45260 67821\n38673 57947\n49757 74629\n96378 100000\n17465 26204\n33924 50869\n64709 97082\n24165 36241\n69570 100000\n15784 23682\n69124 100000\n96293 100000\n23250 34885\n71627 100000\n99770 100000\n73233 100000\n62062 93107\n58405 87617\n93465 100000\n90877 100000\n71538 100000\n70281 100000\n75099 100000\n60949 91442\n50517 75769\n83217 100000\n10560 15900\n97386 100000\n59265 88908\n58780 88173\n93058 100000\n95520 100000\n29382 44049\n83599 100000\n57074 85619\n20248 30366\n90189 100000\n14016 21037\n11364 17109\n9730 14639\n92301 100000\n62528 93802\n84136 100000\n79006 100000\n72752 100000\n35432 53137\n24747 37100\n4807 7239\n65453 98181\n8619 12983\n52325 78495\n39934 59841\n92597 100000\n20696 31033\n11803 17752\n22473 33730\n53585 80392\n12742 19177\n15282 22936\n72474 100000\n16790 25182\n18152 27207\n17981 26958\n6200 9358\n45646 68413\n93195 100000\n74990 100000\n77196 100000\n93873 100000\n47848 71760\n9574 14402\n14394 21608\n24304 36442\n53652 80492\n204 302\n42699 63984\n47610 71401\n80537 100000\n92638 100000\n81125 100000\n12660 19053\n69553 100000\n54909 82339\n12916 19419\n32871 49298\n3993 5996\n27634 41429\n88318 100000\n23163 34750\n10163 15314\n79155 100000\n93514 100000\n93108 100000\n44232 66276\n35817 53709\n77499 100000\n86954 100000\n88542 100000\n32532 48794\n54809 82186\n61436 92176\n5380 8122\n67918 100000\n57256 85894\n15493 23248\n896 1342\n102 155\n18111 27147\n33192 49792\n32268 48386\n37783 56628\n13066 19647\n46184 69233\n80269 100000\n36342 54500\n354 518\n14356 21551\n51650 77488\n98661 100000\n1757 2633\n32778 49161\n66514 99771\n61292 91956\n47980 71949\n58548 87828\n42219 63281\n59095 88649\n77589 100000\n50793 76194\n54212 81323\n30737 46076\n78568 100000\n7280 10974\n42192 63242\n99846 100000\n89617 100000\n29255 43860\n48358 72516\n99199 100000\n36675 54999\n92049 100000\n12523 18845\n83727 100000\n12983 19518\n5728 8638\n30781 46144\n34705 52062\n59226 88849\n88387 100000\n42201 63254\n64839 97264\n17625 26440\n57160 85750\n50959 76457\n62585 93890\n26561 39822\n66504 99757\n23479 35226\n35274 52901\n52073 78115\n50811 76221\n94714 100000\n21784 32683\n53768 80668\n78787 100000\n92755 100000\n79670 100000\n72732 100000\n59790 89710\n704 1047\n44519 66718\n56527 84780\n17950 26918\n97652 100000\n85197 100000\n93055 100000\n87858 100000\n17621 26435\n53169 79760\n2459 3690\n99794 100000\n74298 100000\n51778 77672\n79090 100000\n95729 100000\n85500 100000\n27416 41089\n25178 37748\n88632 100000\n90332 100000\n77252 100000\n64816 97229\n2479 3719\n38464 57642\n84168 100000\n92996 100000\n38050 57020\n96429 100000\n20536 30796\n18938 28388\n28648 42944\n77776 100000\n43240 64795\n2118 3177\n23352 35041\n74371 100000\n39969 59895\n21279 31900\n63777 95686\n38980 58404\n822 1235\n20494 30731\n22510 33780\n76923 100000\n88230 100000\n82604 100000\n66729 100000\n45147 67654\n54469 81696\n77254 100000\n33985 50967\n91863 100000\n18592 27860\n90285 100000\n62807 94227\n13998 21011\n31422 47110\n37311 55944\n54615 81907\n53990 80996\n44101 66084\n15880 23821\n2684 4035\n3287 4943\n99969 100000\n5920 8937\n87003 100000\n695 1035\n49768 74649\n70490 100000\n89148 100000\n70033 100000\n54920 82353\n6048 9135\n60219 90356\n69044 100000\n66342 99513\n89836 100000\n20480 30706\n95830 100000\n39129 58617\n77533 100000\n65972 98949\n69537 100000\n34239 51344\n57849 86782\n74700 100000\n56951 85427\n66735 100000\n71574 100000\n34219 51316\n3411 5127\n5138 7748\n36144 54203\n35885 53813\n8095 12195\n27310 40932\n16588 24889\n55930 83884\n16500 24763\n68890 100000\n11345 17079\n94374 100000\n42579 63813\n82558 100000\n52370 78561\n94705 100000\n57833 86756\n96993 100000\n47880 71809\n53502 80258\n81398 100000\n38072 57052\n27572 41333\n36679 55004\n30041 45039\n13290 19971\n34119 51165\n1894 2836\n3759 5639\n42653 63922\n31081 46592\n54180 81277\n79427 100000\n6715 10144\n83958 100000\n35264 52887\n54061 81106\n30154 45200\n73289 100000\n62885 94350\n924 1386\n56497 84733\n23126 34698\n55730 83574\n40643 60900\n36270 54388\n44067 66029\n64419 96645\n58468 87709\n37861 56745\n60317 90496\n16761 25141\n18208 27285\n71064 100000\n60565 90871\n19719 29572\n6806 10278\n11385 17143\n26119 39176\n84826 100000\n99007 100000\n37041 55539\n56981 85475\n28869 43283\n80629 100000\n79665 100000\n17951 26919\n6719 10151\n26149 39220\n22571 33870\n76749 100000\n10667 16065\n78861 100000\n11047 16639\n16725 25091\n85312 100000\n11854 17835\n26386 39567\n32704 49049\n23534 35303\n66604 99908\n73283 100000\n4 7\n29850 44753\n67146 100000\n3732 5600\n46128 69148\n90434 100000\n47002 70491\n69733 100000\n90421 100000\n24107 36152\n60593 90907\n20428 30625\n24247 36359\n86717 100000\n73194 100000\n96944 100000\n15881 23823\n29632 44428\n71685 100000\n77164 100000\n35965 53935\n3067 4610\n73746 100000\n11589 17450\n43340 64943\n98992 100000\n22565 33862\n84795 100000\n47362 71025\n64557 96850\n63247 94898\n71374 100000\n36624 54928\n8397 12640\n90238 100000\n14817 22234\n99922 100000\n92586 100000\n29428 44124\n90777 100000\n69973 100000\n65187 97786\n72972 100000\n49121 73658\n77335 100000\n94196 100000\n30867 46278\n79484 100000\n68996 100000\n89853 100000\n23531 35300\n16183 24283\n77247 100000\n96608 100000\n48181 72253\n20778 31154\n91168 100000\n8573 12914\n1021 1535\n87600 100000\n20342 30499\n52192 78298\n19684 29514\n50025 75027\n69243 100000\n89104 100000\n84098 100000\n55198 82767\n39527 59217\n94703 100000\n49098 73623\n90154 100000\n14727 22097\n88209 100000\n25134 37687\n99807 100000\n4726 7116\n55877 83801\n30859 46264\n99593 100000\n82932 100000\n33051 49580\n76151 100000\n98329 100000\n53889 80842\n83649 100000\n53602 80416\n17914 26867\n12398 18656\n81677 100000\n79146 100000\n72990 100000\n50907 76374\n55036 82521\n50177 75255\n47141 70689\n4107 6167\n1763 2641\n9767 14698\n87593 100000\n23074 34622\n5718 8626\n4526 6805\n38860 58222\n79353 100000\n40031 59986\n37268 55876\n57702 86569\n60322 90503\n23896 35838\n15824 23739\n52457 78690\n16811 25212\n2036 3047\n46145 69174\n82655 100000\n62820 94251\n57376 86081\n10085 15195\n39645 59392\n26435 39641\n30440 45617\n97555 100000\n647 968\n12403 18663\n86242 100000\n24048 36068\n36742 55102\n48999 73482\n84003 100000\n12335 18566\n11770 17707\n64569 96868\n67954 100000\n98768 100000\n36779 55161\n79453 100000\n11474 17276\n55260 82866\n78618 100000\n33639 50451\n63479 95246\n14783 22179\n19336 28992\n55706 83541\n36651 54966\n44716 67009\n45624 68380\n15930 23897\n59837 89779\n83091 100000\n39894 59779\n96594 100000\n51621 77443\n5204 7851\n86923 100000\n29688 44514\n94916 100000\n29312 43946\n51728 77601\n87300 100000\n21480 32208\n78993 100000\n15111 22672\n76561 100000\n67134 100000\n39813 59654\n50530 75788\n6540 9881\n91048 100000\n62317 93486\n59340 89026\n51142 76733\n36328 54483\n54297 81453\n8106 12210\n98826 100000\n94384 100000\n50592 75881\n30772 46129\n23558 35339\n83647 100000\n48938 73393\n56586 84877\n81461 100000\n61197 91816\n97771 100000\n48569 72843\n4868 7337\n60896 91362\n83968 100000\n77929 100000\n2420 3633\n97969 100000\n4230 6358\n30210 45276\n50727 76095\n59401 89116\n17648 26474\n38877 58249\n81769 100000\n8975 13501\n12123 18249\n54300 81457\n94629 100000\n56768 85150\n98679 100000\n11692 17593\n79468 100000\n94698 100000\n26616 39903\n94456 100000\n26320 39471\n78456 100000\n91277 100000\n62097 93161\n3129 4704\n62760 94154\n53828 80751\n26361 39530\n44234 66279\n88421 100000\n40987 61432\n5793 8736\n24459 36673\n43832 65676\n87482 100000\n91029 100000\n54415 81620\n35526 53276\n64747 97133\n42326 63441\n38928 58325\n78272 100000\n37032 55524\n15137 22715\n18976 28452\n63438 95180\n1219 1832\n78849 100000\n57596 86407\n37925 56837\n81351 100000\n16136 24208\n95788 100000\n87567 100000\n17371 26060\n19896 29836\n24498 36730\n10192 15357\n45220 67764\n90032 100000\n41130 61649\n63150 94768\n31752 47607\n71030 100000\n19123 28676\n98443 100000\n89487 100000\n90453 100000\n96613 100000\n16865 25291\n46123 69141\n8796 13236\n76962 100000\n67271 100000\n62123 93202\n79467 100000\n79428 100000\n73876 100000\n40321 60421\n66063 99094\n29482 44204\n87501 100000\n39700 59478\n19117 28667\n58546 87826\n67032 100000\n2273 3413\n37367 56023\n32173 48246\n96120 100000\n18174 27239\n99081 100000\n59082 88626\n19703 29547\n42644 63910\n36161 54227\n64889 97343\n99196 100000\n33618 50419\n26941 40382\n85286 100000\n56562 84836\n3981 5978\n30964 46422\n64836 97260\n49417 74112\n68662 100000\n27929 41869\n73491 100000\n80610 100000\n53162 79749\n46563 69820\n95368 100000\n52822 79231\n81719 100000\n18468 27674\n19536 29291\n29498 44228\n86632 100000\n21109 31646\n75191 100000\n26871 40278\n48593 72880\n70339 100000\n32770 49148\n66106 99160\n73366 100000\n71458 100000\n1646 2470\n2656 3989\n12249 18443\n81071 100000\n20218 30325\n91792 100000\n78286 100000\n56917 85378\n65570 98353\n43615 65349\n5157 7780\n94517 100000\n81610 100000\n99103 100000\n82609 100000\n74117 100000\n40850 61219\n29272 43888\n2632 3954\n41047 61528\n62826 94261\n5139 7750\n77248 100000\n70378 100000\n59730 89621\n12058 18152\n13144 19760\n814 1221\n43904 65786\n88558 100000\n14243 21371\n12327 18554\n55759 83620\n19170 28746\n15256 22898\n66276 99413\n81586 100000\n46107 69119\n31789 47663\n79577 100000\n55672 83491\n33926 50872\n62834 94275\n65398 98097\n61855 92801\n64039 96080\n94097 100000\n92873 100000\n82887 100000\n5783 8722\n90385 100000\n67288 100000\n97391 100000\n73378 100000\n66593 99891\n35474 53197\n38261 57339\n74330 100000\n45473 68139\n56410 84603\n49877 74807\n92268 100000\n63679 95536\n59667 89523\n6091 9199\n68774 100000\n62331 93509\n72538 100000\n69638 100000\n82456 100000\n54832 82224\n74718 100000\n37138 55685\n4718 7105\n56658 84987\n41578 62317\n60050 90101\n18108 27144\n12672 19072\n17851 26778\n40459 60628\n40731 61033\n85965 100000\n3416 5135\n39903 59792\n65676 98514\n58916 88371\n41379 62009\n94454 100000\n9955 14996\n11049 16641\n64357 96556\n92533 100000\n71390 100000\n93346 100000\n71731 100000\n49751 74620\n66744 100000\n34018 51015\n90195 100000\n19806 29697\n58449 87684\n8971 13494\n34438 51644\n50053 75070\n29311 43944\n17493 26247\n70095 100000\n20540 30802\n87156 100000\n27616 41403\n75144 100000\n36953 55413\n61252 91896\n50312 75458\n94984 100000\n42248 63323\n50778 76172\n41876 62770\n4369 6570\n19862 29782\n38750 58054\n29242 43840\n71815 100000\n91167 100000\n21524 32273\n62111 93181\n33161 49747\n88667 100000\n29691 44520\n69415 100000\n25877 38802\n45836 68701\n10815 16291\n7503 11308\n14150 21234\n25105 37645\n75520 100000\n54866 82276\n18611 27889\n34062 51082\n34268 51385\n50477 75707\n20161 30238\n34807 52210\n33381 50065\n31991 47968\n14439 21672\n38346 57463\n20344 30501\n60271 90430\n66306 99459\n42007 62966\n12095 18203\n48832 73233\n19543 29302\n83230 100000\n22601 33913\n68004 100000\n55181 82743\n81479 100000\n94375 100000\n91480 100000\n96800 100000\n7064 10652\n39425 59063\n35343 52999\n72693 100000\n65807 98702\n19232 28835\n55471 83193\n12958 19481\n32969 49451\n33609 50405\n8116 12222\n72620 100000\n83807 100000\n50971 76476\n45110 67594\n92561 100000\n34273 51393\n89133 100000\n1368 2060\n96730 100000\n42725 64019\n52399 78603\n87208 100000\n59880 89841\n61077 91635\n76522 100000\n8891 13375\n89865 100000\n47003 70493\n88569 100000\n57459 86204\n79999 100000\n94407 100000\n84064 100000\n68866 100000\n39245 58795\n8994 13531\n27206 40780\n51011 76540\n8506 12807\n27342 40981\n57669 86516\n22359 33558\n24572 36838\n10662 16056\n51817 77729\n94791 100000\n86711 100000\n90893 100000\n14877 22320\n10456 15744\n49523 74277\n21068 31585\n24132 36190\n38363 57490\n70278 100000\n75521 100000\n87056 100000\n77463 100000\n20577 30866\n21568 32336\n94433 100000\n78099 100000\n39614 59348\n67228 100000\n22834 34263\n92229 100000\n11499 17312\n97327 100000\n86372 100000\n78813 100000\n3588 5390\n74481 100000\n29233 43827\n56357 84522\n13984 20991\n30934 46380\n49485 74216\n83670 100000\n1087 1633\n794 1191\n71649 100000\n61330 92015\n1695 2547\n2784 4185\n53009 79511\n79355 100000\n18632 27925\n76576 100000\n36828 55236\n91543 100000\n10899 16413\n66964 100000\n43980 65898\n32483 48716\n36529 54787\n2141 3209\n6750 10194\n23115 34680\n99802 100000\n30518 45744\n89896 100000\n30787 46154\n97431 100000\n42718 64009\n84707 100000\n73731 100000\n97707 100000\n52634 78956\n87374 100000\n62667 94018\n59349 89040\n73482 100000\n40618 60863\n77948 100000\n23523 35289\n23007 34522\n15643 23481\n6220 9392\n64842 97268\n77438 100000\n56341 84502\n11924 17942\n21827 32751\n5819 8773\n18177 27243\n60183 90304\n65849 98762\n95571 100000\n74392 100000\n6067 9163\n87243 100000\n61967 92968\n77927 100000\n15691 23550\n31242 46834\n65210 97819\n36732 55089\n12124 18250\n99803 100000\n65522 98283\n80272 100000\n15220 22848\n9076 13658\n76387 100000\n48213 72302\n65531 98296\n41073 61566\n56945 85420\n39882 59763\n95561 100000\n42721 64013\n69026 100000\n81130 100000\n9212 13855\n37065 55575\n94704 100000\n89199 100000\n75020 100000\n22324 33509\n63934 95926\n7899 11908\n69987 100000\n85326 100000\n84190 100000\n83164 100000\n50721 76084\n90182 100000\n65933 98888\n27172 40727\n77256 100000\n90042 100000\n2621 3934\n65846 98758\n54607 81897\n85018 100000\n11888 17885\n65724 98583\n23786 35681\n39678 59444\n85149 100000\n61349 92047\n47039 70545\n17614 26424\n27685 41502\n97113 100000\n48922 73372\n69730 100000\n55913 83855\n70608 100000\n58394 87600\n96757 100000\n89518 100000\n29023 43514\n38507 57711\n25995 38984\n40504 60689\n12659 19051\n97649 100000\n37524 56249\n88272 100000\n95356 100000\n21546 32305\n76208 100000\n85338 100000\n58234 87367\n52557 78840\n56397 84584\n46710 70040\n84242 100000\n10197 15363\n37213 55787\n79386 100000\n9514 14310\n37625 56396\n95338 100000\n63569 95373\n95362 100000\n58009 87030\n2368 3560\n26955 40402\n72551 100000\n61794 92706\n62518 93785\n25078 37602\n80331 100000\n23189 34790\n53740 80624\n36894 55329\n93844 100000\n4964 7488\n75988 100000\n64902 97363\n78899 100000\n35658 53473\n27828 41719\n89367 100000\n68340 100000\n61420 92152\n69825 100000\n8023 12084\n17993 26977\n7114 10725\n60499 90770\n49842 74750\n84838 100000\n82715 100000\n21200 31785\n92883 100000\n41914 62825\n46327 69460\n72191 100000\n45728 68542\n26519 39759\n41188 61728\n86766 100000\n93492 100000\n49160 73717\n39517 59201\n72502 100000\n56585 84875\n42804 64133\n68189 100000\n58630 87951\n27301 40918\n46977 70449\n1751 2626\n41941 62865\n20529 30783\n4736 7134\n52409 78620\n54279 81425\n10239 15425\n3204 4813\n47435 71134\n23594 35399\n79293 100000\n26152 39224\n71831 100000\n120 180\n3612 5425\n58266 87416\n72641 100000\n26765 40123\n54068 81116\n52967 79445\n62435 93666\n15594 23407\n75162 100000\n61454 92204\n36200 54281\n88121 100000\n62261 93405\n53883 80834\n64245 96384\n22082 33139\n4015 6024\n9550 14366\n84613 100000\n79303 100000\n85219 100000\n62145 93237\n6639 10028\n19903 29847\n86678 100000\n15989 23988\n48186 72261\n99031 100000\n84151 100000\n63184 94817\n8102 12204\n67687 100000\n26218 39319\n64043 96087\n46291 69407\n87117 100000\n70335 100000\n30511 45733\n43210 64747\n2201 3297\n8745 13161\n83126 100000\n91829 100000\n87278 100000\n84686 100000\n26479 39702\n50910 76379\n33187 49784\n68301 100000\n3741 5615\n1333 2004\n43250 64808\n90680 100000\n77066 100000\n93396 100000\n53241 79869\n61037 91573\n15321 22993\n22646 33978\n81785 100000\n6598 9969\n48339 72487\n19473 29195\n70025 100000\n4409 6636\n73712 100000\n66864 100000\n4890 7371\n89877 100000\n68598 100000\n21127 31674\n42006 62965\n90747 100000\n11032 16615\n79435 100000\n26550 39805\n36878 55305\n66666 100000\n64399 96616\n7911 11926\n19689 29523\n40191 60230\n83370 100000\n25783 38663\n49530 74289\n87123 100000\n26693 40022\n19402 29087\n33604 50399\n82572 100000\n32478 48708\n82189 100000\n79384 100000\n66787 100000\n98574 100000\n20816 31204\n24547 36799\n48752 73116\n61264 91912\n17369 26058\n45388 68015\n20032 30043\n857 1287\n88501 100000\n39743 59543\n96407 100000\n82648 100000\n64713 97088\n32547 48819\n27136 40677\n29128 43667\n34722 52084\n67754 100000\n13082 19671\n72374 100000\n92185 100000\n41637 62411\n23683 35531\n93797 100000\n69495 100000\n71937 100000\n48109 72141\n53311 79968\n49817 74714\n66300 99447\n85542 100000\n79405 100000\n30130 45163\n2617 3927\n58256 87401\n88818 100000\n25779 38656\n33841 50755\n99760 100000\n32131 48180\n26446 39654\n37715 56527\n85066 100000\n12268 18469\n60516 90794\n86027 100000\n96051 100000\n78110 100000\n80233 100000\n66457 99686\n66987 100000\n97434 100000\n15639 23475\n91742 100000\n5399 8149\n86058 100000\n31095 46615\n53851 80787\n9792 14735\n13685 20545\n22487 33749\n57003 85509\n87237 100000\n70651 100000\n30794 46165\n97563 100000\n38133 57143\n53661 80507\n31678 47492\n24786 37158\n24219 36317\n23886 35823\n52970 79450\n8874 13349\n4119 6185\n21074 31592\n99628 100000\n85294 100000\n78277 100000\n2005 3000\n78032 100000\n83544 100000\n27769 41626\n49465 74184\n87007 100000\n80924 100000\n99838 100000\n77759 100000\n85584 100000\n79807 100000\n68730 100000\n78722 100000\n61821 92747\n25547 38298\n83314 100000\n30432 45602\n44417 66561\n53939 80917\n3074 4621\n79846 100000\n7194 10844\n40137 60149\n15569 23369\n12341 18576\n64554 96846\n15954 23935\n13738 20628\n19294 28929\n68410 100000\n39938 59848\n40293 60382\n52088 78139\n17204 25810\n68562 100000\n61235 91873\n91722 100000\n72896 100000\n52499 78749\n87509 100000\n27941 41887\n73763 100000\n48281 72404\n49439 74145\n2092 3137\n42032 63003\n71552 100000\n89071 100000\n51669 77515\n18617 27899\n67328 100000\n24027 36034\n64254 96398\n64309 96483\n99589 100000\n84597 100000\n19004 28494\n49385 74065\n71592 100000\n84068 100000\n40628 60879\n82190 100000\n10262 15459\n14071 21117\n92954 100000\n60760 91148\n45915 68823\n84556 100000\n50712 76069\n45792 68636\n43567 65277\n55084 82596\n37894 56793\n54321 81491\n32343 48501\n46717 70051\n2465 3699\n18434 27622\n76980 100000\n65885 98814\n9917 14930\n77484 100000\n7558 11393\n44738 67041\n18239 27329\n44355 66461\n74855 100000\n13815 20743\n87223 100000\n14902 22357\n60947 91439\n90710 100000\n98759 100000\n4146 6226\n75921 100000\n19076 28605\n3643 5469\n48318 72460\n93457 100000\n43519 65206\n94701 100000\n95530 100000\n61013 91537\n11768 17705\n9140 13749\n92 139\n62150 93243\n86836 100000\n25232 37827\n13248 19912\n20231 30343\n49586 74377\n72841 100000\n12032 18109\n57539 86323\n26067 39091\n85063 100000\n78479 100000\n32326 48477\n45681 68471\n61925 92906\n69507 100000\n31605 47383\n45017 67450\n23071 34617\n51015 76545\n50817 76231\n14945 22423\n63929 95919\n7631 11500\n48315 72455\n44561 66788\n58532 87806\n97428 100000\n28717 43049\n99453 100000\n16667 25007\n38440 57609\n1788 2680\n37631 56405\n70144 100000\n18798 28178\n64821 97235\n62326 93501\n22372 33578\n61361 92064\n42435 63605\n48710 73057\n81170 100000\n17066 25606\n8944 13457\n4450 6700\n18212 27290\n34555 51828\n65520 98280\n45639 68402\n50106 75145\n88568 100000\n24766 37127\n45862 68738\n39038 58488\n38488 57678\n17295 25948\n99052 100000\n46321 69450\n10540 15866\n80652 100000\n7087 10685\n84454 100000\n86389 100000\n5962 9007\n87099 100000\n83964 100000\n89355 100000\n11051 16644\n92332 100000\n62611 93933\n42434 63604\n4155 6241\n59202 88809\n65416 98126\n96655 100000\n30929 46373\n75630 100000\n61533 92322\n22710 34073\n2301 3457\n42403 63557\n42130 63150\n23105 34666\n73626 100000\n42075 63065\n24148 36214\n49660 74488\n22685 34035\n41349 61965\n17719 26580\n46201 69259\n76818 100000\n13923 20906\n73794 100000\n33366 50043\n85558 100000\n5095 7683\n35581 53358\n97054 100000\n70345 100000\n32986 49477\n37660 56448\n24667 36983\n24164 36240\n92944 100000\n49288 73915\n87885 100000\n94312 100000\n43494 65166\n47520 71265\n39611 59342\n14816 22233\n70114 100000\n72439 100000\n28213 42295\n3149 4737\n11592 17455\n18232 27318\n79311 100000\n47083 70603\n27017 40493\n75486 100000\n96538 100000\n55302 82934\n97640 100000\n45835 68699\n22706 34066\n31574 47335\n34543 51812\n9549 14364\n4898 7384\n71041 100000\n67404 100000\n3814 5723\n1569 2360\n16131 24202\n99751 100000\n69853 100000\n4896 7381\n43188 64713\n62370 93572\n93893 100000\n137 205\n47489 71220\n43902 65782\n17384 26083\n50007 75003\n8658 13035\n66968 100000\n34830 52242\n54496 81737\n25966 38938\n83173 100000\n53947 80929\n42872 64230\n91605 100000\n47757 71624\n2576 3874\n89754 100000\n98657 100000\n18607 27882\n35033 52540\n61856 92803\n96406 100000\n94635 100000\n79570 100000\n72710 100000\n90477 100000\n30598 45867\n73165 100000\n45558 68271\n2277 3418\n55189 82752\n92304 100000\n63829 95764\n96103 100000\n85784 100000\n47916 71857\n21408 32099\n14269 21412\n51672 77520\n83413 100000\n39604 59331\n65404 98107\n76024 100000\n86980 100000\n4689 7063\n58957 88439\n58771 88160\n89316 100000\n27193 40759\n60445 90688\n84712 100000\n29960 44918\n8813 13264\n84031 100000\n22677 34024\n99534 100000\n35079 52607\n81244 100000\n51864 77798\n67263 100000\n30854 46254\n65967 98940\n16822 25229\n30930 46375\n40311 60405\n78402 100000\n24261 36379\n24436 36638\n61927 92909\n94191 100000\n64735 97116\n42508 63712\n78175 100000\n78165 100000\n493 738\n82491 100000\n91578 100000\n69120 100000\n74415 100000\n93486 100000\n84245 100000\n20490 30724\n70770 100000\n38684 57963\n27785 41647\n28732 43071\n57746 86633\n5322 8034\n69605 100000\n67629 100000\n78538 100000\n63794 95712\n83993 100000\n97527 100000\n88957 100000\n6139 9267\n47927 71877\n85552 100000\n81740 100000\n32143 48199\n55605 83390\n96128 100000\n90372 100000\n41676 62467\n45926 68838\n29357 44012\n89455 100000\n42489 63685\n79691 100000\n22940 34421\n17905 26858\n24835 37232\n29607 44389\n96439 100000\n60046 90095\n54874 82287\n1043 1567\n77877 100000\n28953 43402\n24372 36540\n23136 34712\n41083 61582\n3790 5686\n76308 100000\n70680 100000\n67459 100000\n17998 26985\n72981 100000\n95349 100000\n88043 100000\n52888 79330\n76842 100000\n82273 100000\n73498 100000\n22348 33542\n19124 28678\n20852 31257\n63249 94900\n98437 100000\n85984 100000\n25690 38522\n38 56\n97556 100000\n16356 24552\n44951 67354\n84530 100000\n58123 87202\n17528 26298\n83626 100000\n37056 55561\n29821 44712\n79640 100000\n1361 2048\n99281 100000\n43851 65706\n45367 67984\n89676 100000\n48296 72425\n48263 72380\n16212 24328\n91145 100000\n2736 4110\n75147 100000\n18585 27848\n33210 49816\n2100 3149\n62005 93025\n48175 72242\n14068 21114\n40788 61126\n20476 30700\n5744 8660\n99512 100000\n42375 63517\n55254 82856\n3146 4732\n39239 58788\n81219 100000\n40219 60269\n87658 100000\n24560 36820\n88047 100000\n83031 100000\n6560 9909\n29778 44652\n88552 100000\n73039 100000\n59111 88674\n46857 70272\n72196 100000\n55146 82694\n14769 22160\n16833 25243\n70165 100000\n65215 97826\n43805 65634\n21765 32654\n91690 100000\n89790 100000\n60508 90783\n40828 61185\n47679 71509\n15476 23223\n10517 15833\n20015 30020\n39294 58864\n49217 73805\n61171 91778\n47160 70716\n10062 15162\n767 1149\n32518 48773\n7712 11627\n82184 100000\n59719 89603\n88881 100000\n38298 57396\n27039 40528\n19113 28662\n22071 33124\n95870 100000\n18569 27824\n44201 66232\n31797 47674\n45452 68109\n91318 100000\n69029 100000\n96274 100000\n52673 79010\n71057 100000\n40304 60397\n48277 72397\n92280 100000\n32344 48502\n37007 55490\n36997 55477\n96804 100000\n12814 19281\n44061 66020\n52310 78471\n28688 43003\n77111 100000\n70448 100000\n20728 31082\n26120 39177\n73935 100000\n51908 77865\n16774 25159\n72234 100000\n7349 11075\n2162 3243\n31553 47305\n38624 57883\n4460 6714\n69635 100000\n94749 100000\n7050 10635\n24680 37001\n77767 100000\n26194 39281\n51345 77043\n5143 7757\n92793 100000\n64147 96239\n77241 100000\n3 6\n93479 100000\n4743 7144\n90309 100000\n49103 73629\n92058 100000\n88530 100000\n55753 83609\n73021 100000\n74556 100000\n36362 54530\n10636 16019\n76040 100000\n67260 100000\n39686 59458\n6349 9595\n85408 100000\n3965 5951\n64196 96310\n84374 100000\n97623 100000\n35740 53598\n10335 15568\n7701 11608\n87673 100000\n50905 76371\n57500 86262\n60990 91504\n75816 100000\n67845 100000\n43068 64533\n59967 89975\n67478 100000\n57532 86314\n12023 18097\n84898 100000\n95030 100000\n89261 100000\n92242 100000\n44090 66068\n81404 100000\n78696 100000\n22953 34442\n73930 100000\n82704 100000\n28484 42702\n4192 6298\n58117 87193\n22242 33391\n36563 54837\n23572 35362\n23937 35907\n37702 56508\n82980 100000\n30220 45292\n97859 100000\n25276 37892\n22772 34165\n99750 100000\n45655 68429\n87792 100000\n39167 58677\n3448 5188\n66568 99854\n83948 100000\n16228 24352\n1379 2076\n25514 38248\n64678 97033\n28491 42712\n6800 10270\n65102 97660\n38575 57811\n63098 94684\n20389 30572\n25379 38046\n11675 17569\n35791 53670\n38803 58134\n28205 42283\n53697 80560\n16309 24480\n67056 100000\n21747 32622\n44119 66110\n54518 81769\n24057 36080\n92770 100000\n38725 58018\n8458 12732\n86377 100000\n18430 27617\n41522 62235\n1142 1723\n58081 87138\n38284 57373\n58439 87670\n80220 100000\n59094 88647\n95031 100000\n14991 22491\n31482 47201\n78188 100000\n85555 100000\n17461 26197\n1285 1932\n76772 100000\n58391 87595\n57722 86598\n19245 28856\n64717 97095\n5041 7601\n92119 100000\n1470 2213\n44031 65975\n42939 64333\n42430 63600\n62742 94128\n59026 88540\n53477 80222\n22638 33966\n7664 11551\n72120 100000\n83457 100000\n43656 65414\n85913 100000\n52220 78338\n22280 33449\n64486 96741\n62722 94098\n23542 35315\n16268 24412\n11333 17061\n43291 64875\n1296 1948\n40183 60218\n73596 100000\n64097 96167\n30185 45241\n75962 100000\n1220 1834\n98796 100000\n29898 44824\n94007 100000\n92166 100000\n18018 27017\n91967 100000\n1804 2700\n58645 87975\n79460 100000\n29635 44432\n65604 98408\n70501 100000\n76360 100000\n19961 29933\n51848 77773\n28028 42032\n22650 33983\n10684 16091\n66006 99005\n57136 85716\n23961 35941\n3200 4807\n98963 100000\n10823 16301\n76324 100000\n68066 100000\n39071 58532\n23541 35314\n25259 37868\n21860 32803\n15864 23796\n43561 65269\n78332 100000\n26510 39744\n90860 100000\n91711 100000\n29027 43520\n67275 100000\n35098 52632\n68259 100000\n24369 36536\n2117 3175\n61228 91863\n28146 42198\n96238 100000\n14278 21427\n14884 22329\n32198 48282\n78885 100000\n58861 88289\n91072 100000\n6006 9074\n51228 76864\n95838 100000\n83682 100000\n81372 100000\n50102 75140\n24317 36462\n23831 35741\n48895 73330\n52437 78661\n77200 100000\n5214 7865\n36835 55244\n43756 65561\n81465 100000\n29486 44209\n73751 100000\n59618 89450\n82486 100000\n12606 18968\n25377 38044\n84219 100000\n46006 68964\n35132 52684\n94745 100000\n73685 100000\n44349 66453\n38000 56952\n89064 100000\n61000 91518\n19837 29742\n83680 100000\n45128 67624\n40521 60716\n625 935\n22747 34128\n55687 83513\n15494 23250\n65706 98558\n75260 100000\n3399 5108\n59571 89378\n82706 100000\n32868 49294\n40683 60960\n89876 100000\n53246 79877\n44242 66292\n2248 3374\n52208 78323\n17697 26549\n15819 23732\n85081 100000\n72291 100000\n67015 100000\n17720 26581\n6751 10195\n2101 3150\n78609 100000\n70346 100000\n92069 100000\n48254 72365\n93235 100000\n12099 18209\n55202 82773\n18994 28479\n36964 55431\n15520 23294\n17817 26728\n57634 86465\n21450 32163\n71635 100000\n15517 23288\n49086 73604\n66659 99994\n5841 8809\n83763 100000\n77022 100000\n14232 21354\n67142 100000\n64380 96588\n89022 100000\n19382 29058\n96763 100000\n71346 100000\n24467 36683\n44218 66253\n65711 98563\n5012 7557\n65668 98502\n39515 59198\n81198 100000\n1121 1688\n92673 100000\n24526 36768\n90493 100000\n63715 95588\n70142 100000\n53994 81003\n18456 27655\n31082 46593\n95234 100000\n89967 100000\n4843 7300\n16013 24026\n8799 13240\n8690 13082\n56090 84116\n53796 80708\n39726 59521\n25182 37754\n22723 34092\n63673 95528\n4072 6111\n16007 24017\n52315 78479\n77504 100000\n11566 17412\n9017 13567\n5137 7747\n5977 9030\n44783 67109\n64328 96511\n85410 100000\n86267 100000\n36739 55099\n3437 5170\n95836 100000\n44055 66011\n11600 17465\n50101 75139\n14494 21753\n64160 96261\n67426 100000\n66388 99583\n16668 25009\n25737 38594\n39337 58928\n74903 100000\n10395 15659\n48954 73418\n29367 44027\n84104 100000\n26177 39260\n64473 96725\n72834 100000\n52018 78032\n31722 47564\n38943 58345\n21636 32448\n3159 4749\n94864 100000\n27869 41782\n706 1050\n46797 70178\n39541 59237\n45047 67497\n85656 100000\n72478 100000\n28935 43379\n71572 100000\n64651 96990\n13077 19663\n79717 100000\n78518 100000\n20953 31413\n6843 10333\n79420 100000\n60505 90780\n2364 3554\n72481 100000\n57224 85845\n35631 53435\n93134 100000\n1863 2788\n64002 96028\n92231 100000\n9644 14506\n56428 84628\n14250 21379\n37755 56587\n44664 66938\n24402 36587\n74511 100000\n942 1413\n85652 100000\n73843 100000\n67141 100000\n63819 95750\n96099 100000\n58059 87105\n3435 5166\n70916 100000\n93950 100000\n96524 100000\n75679 100000\n45213 67754\n66275 99411\n20999 31476\n31886 47810\n50383 75566\n1254 1887\n24442 36648\n48935 73389\n1890 2830\n81252 100000\n90105 100000\n5721 8630\n92364 100000\n50123 75173\n82595 100000\n51061 76614\n32947 49417\n28221 42307\n73883 100000\n14409 21629\n54616 81909\n24504 36737\n21578 32350\n72004 100000\n1588 2386\n63424 95162\n39725 59519\n99314 100000\n18393 27563\n18041 27051\n73964 100000\n58026 87054\n72623 100000\n4356 6552\n47532 71284\n93122 100000\n38857 58217\n49511 74257\n97119 100000\n36968 55438\n80566 100000\n87130 100000\n81824 100000\n89441 100000\n18279 27391\n68419 100000\n72658 100000\n35670 53493\n43650 65405\n58139 87226\n89623 100000\n88897 100000\n74787 100000\n18131 27175\n31294 46913\n67204 100000\n34695 52047\n86950 100000\n6573 9930\n40794 61135\n31610 47390\n55252 82853\n31200 46769\n40176 60206\n92417 100000\n93136 100000\n46748 70102\n622 931\n21842 32771\n81539 100000\n32296 48434\n57079 85625\n52465 78701\n79502 100000\n57080 85627\n81891 100000\n11841 17813\n63454 95206\n94552 100000\n9429 14183\n25611 38399\n5522 8329\n59674 89534\n20674 31002\n26090 39131\n80455 100000\n44967 67380\n31464 47174\n3362 5052\n23516 35281\n10725 16157\n73546 100000\n45986 68933\n57432 86161\n76368 100000\n87132 100000\n36308 54453\n63250 94901\n9720 14622\n71652 100000\n742 1112\n60139 90237\n43881 65749\n67017 100000\n74142 100000\n31748 47601\n32592 48882\n11198 16863\n1218 1831\n10704 16122\n99086 100000\n4474 6734\n97405 100000\n46821 70213\n14233 21355\n31046 46540\n50857 76294\n32135 48187\n55017 82494\n96742 100000\n38116 57117\n11076 16679\n72540 100000\n57049 85580\n13803 20725\n74975 100000\n13305 19993\n58320 87498\n68512 100000\n47353 71010\n65148 97730\n56947 85422\n29608 44390\n10841 16329\n75752 100000\n64901 97362\n36955 55416\n5449 8224\n6389 9652\n87149 100000\n63464 95221\n43450 65105\n23119 34687\n36057 54066\n67594 100000\n87045 100000\n44368 66481\n59044 88568\n79322 100000\n46359 69513\n35925 53871\n25002 37484\n99214 100000\n94094 100000\n23884 35819\n58791 88190\n46907 70343\n11515 17335\n75867 100000\n5235 7896\n50242 75351\n11030 16612\n13658 20506\n60573 90883\n84791 100000\n6978 10532\n19801 29690\n40300 60393\n20814 31201\n1960 2933\n82352 100000\n89752 100000\n82588 100000\n61244 91885\n19422 29117\n45178 67703\n29720 44561\n47409 71096\n69084 100000\n19150 28716\n65777 98658\n21647 32467\n66569 99856\n68548 100000\n16711 25072\n67883 100000\n72427 100000\n71561 100000\n76768 100000\n68076 100000\n9752 14671\n22802 34214\n1458 2195\n92558 100000\n33355 50025\n11152 16791\n1039 1561\n6088 9194\n20595 30894\n51928 77895\n51508 77268\n34516 51768\n75623 100000\n34408 51604\n77999 100000\n3660 5494\n44508 66699\n4855 7318\n37123 55660\n90845 100000\n24826 37220\n54984 82440\n57236 85865\n34753 52128\n12179 18333\n61489 92253\n99729 100000\n11440 17226\n290 424\n30256 45344\n86107 100000\n95927 100000\n39721 59513\n19827 29728\n54645 81946\n21544 32302\n50270 75395\n21653 32476\n74575 100000\n11646 17528\n55794 83673\n75553 100000\n10089 15201\n28972 43433\n88637 100000\n60738 91118\n62320 93490\n53419 80127\n25445 38144\n22858 34298\n24223 36323\n65145 97725\n54561 81826\n50711 76068\n784 1177\n392 576\n50492 75732\n41131 61650\n38781 58103\n25507 38238\n1287 1935\n44777 67100\n54144 81224\n33144 49722\n49269 73885\n46309 69435\n5851 8824\n80004 100000\n45518 68209\n82425 100000\n52210 78325\n49704 74558\n49277 73897\n72203 100000\n59728 89618\n84463 100000\n14728 22098\n43840 65689\n28999 43474\n73255 100000\n58177 87279\n9687 14568\n11471 17272\n458 681\n24095 36134\n2203 3301\n36097 54129\n69143 100000\n68975 100000\n83003 100000\n28223 42310\n67939 100000\n77468 100000\n67101 100000\n56412 84606\n46902 70336\n11664 17554\n22412 33640\n49454 74168\n33772 50651\n81156 100000\n27917 41851\n96889 100000\n28586 42850\n20862 31271\n47685 71517\n45869 68746\n38679 57955\n97843 100000\n44059 66017\n56603 84905\n11172 16825\n22181 33295\n79828 100000\n4858 7323\n82878 100000\n66606 99910\n77161 100000\n15959 23943\n54058 81101\n57806 86715\n70008 100000\n53677 80529\n16307 24476\n692 1031\n18196 27270\n7675 11567\n66796 100000\n41890 62791\n57010 85520\n34242 51349\n41185 61723\n38795 58123\n83569 100000\n3733 5601\n7960 11997\n92389 100000\n54754 82111\n42362 63498\n26855 40253\n85028 100000\n77508 100000\n16302 24467\n12533 18861\n18253 27352\n29209 43789\n13192 19831\n87135 100000\n3929 5903\n98146 100000\n71571 100000\n50496 75738\n80029 100000\n43852 65708\n64524 96802\n5748 8666\n82080 100000\n12476 18778\n22907 34372\n38611 57864\n44635 66894\n7266 10954\n44262 66323\n2071 3104\n49497 74236\n26455 39667\n79752 100000\n82214 100000\n10108 15233\n61031 91563\n62743 94130\n92300 100000\n35855 53767\n17301 25959\n48042 72043\n69919 100000\n85556 100000\n7363 11097\n97962 100000\n4391 6606\n98773 100000\n99571 100000\n36548 54816\n57736 86617\n59496 89261\n71072 100000\n87754 100000\n60719 91096\n38874 58244\n99595 100000\n2174 3258\n20961 31423\n48917 73365\n96133 100000\n94449 100000\n81738 100000\n59601 89423\n23 33\n61700 92567\n37895 56795\n59754 89657\n91214 100000\n11406 17173\n72136 100000\n50216 75314\n30501 45717\n8119 12226\n93640 100000\n56405 84594\n59638 89479\n31232 46817\n73874 100000\n25536 38281\n79191 100000\n11232 16914\n50370 75545\n50513 75764\n737 1103\n36495 54735\n19938 29898\n4501 6772\n7585 11430\n24688 37011\n5688 8578\n53277 79918\n30597 45866\n74533 100000\n74687 100000\n69722 100000\n43905 65788\n25665 38481\n38495 57690\n16519 24790\n75248 100000\n84234 100000\n90246 100000\n39531 59221\n24972 37439\n68862 100000\n13164 19790\n95929 100000\n35070 52594\n69011 100000\n43804 65632\n35650 53460\n6752 10196\n44690 66972\n53349 80017\n92979 100000\n59982 89997\n68073 100000\n43709 65492\n9716 14615\n3934 5909\n38646 57909\n74460 100000\n57739 86622\n39697 59474\n80470 100000\n77386 100000\n6379 9640\n91885 100000\n62020 93046\n98896 100000\n9866 14847\n42020 62984\n47468 71187\n60115 90199\n12079 18180\n47378 71047\n52993 79485\n54953 82400\n75909 100000\n948 1423\n45750 68575\n61407 92134\n6785 10247\n341 498\n50931 76412\n98850 100000\n20738 31096\n37075 55591\n21951 32941\n32287 48420\n5665 8544\n43104 64585\n27420 41096\n21345 32000\n56020 84014\n42824 64162\n54619 81913\n64977 97475\n86625 100000\n92687 100000\n48551 72814\n53352 80021\n65998 98992\n62357 93551\n52274 78420\n30186 45242\n27683 41499\n9994 15057\n19511 29252\n74567 100000\n58707 88066\n89431 100000\n87113 100000\n55495 83229\n99341 100000\n55193 82758\n66123 99186\n48244 72351\n93327 100000\n82047 100000\n4064 6098\n50019 75019\n9569 14394\n81868 100000\n66997 100000\n39382 58999\n79119 100000\n8103 12205\n19211 28809\n25698 38533\n47226 70816\n12794 19252\n64689 97051\n55991 83971\n31315 46947\n38206 57255\n92749 100000\n69470 100000\n82298 100000\n17094 25646\n93281 100000\n94187 100000\n66991 100000\n43077 64545\n10894 16405\n80372 100000\n12546 18882\n83489 100000\n97903 100000\n63854 95805\n27113 40642\n16799 25197\n48724 73076\n15204 22822\n90841 100000\n6216 9385\n20481 30708\n18116 27156\n41623 62387\n36912 55355\n51703 77568\n8624 12990\n56996 85498\n46047 69027\n76624 100000\n1900 2845\n62278 93428\n99118 100000\n58581 87877\n27308 40928\n43952 65857\n85202 100000\n67839 100000\n57388 86097\n23962 35942\n78698 100000\n70175 100000\n96472 100000\n58313 87487\n19936 29895\n39483 59147\n96511 100000\n33968 50936\n38733 58031\n96988 100000\n46045 69024\n42672 63948\n26161 39237\n58750 88128\n87528 100000\n54207 81316\n82291 100000\n37111 55643\n12912 19412\n4116 6181\n92342 100000\n5883 8880\n38764 58075\n74992 100000\n71190 100000\n16208 24322\n78829 100000\n5190 7830\n36944 55401\n90770 100000\n37521 56244\n68938 100000\n78534 100000\n31024 46509\n17229 25845\n61014 91538\n99884 100000\n1396 2099\n44494 66680\n65062 97598\n83163 100000\n14261 21397\n16442 24680\n51741 77617\n24465 36680\n92572 100000\n76393 100000\n96897 100000\n96547 100000\n70454 100000\n36647 54962\n85014 100000\n14644 21978\n90942 100000\n437 646\n56727 85085\n85647 100000\n46514 69746\n61481 92241\n38894 58276\n90060 100000\n79786 100000\n42159 63194\n3131 4707\n90617 100000\n97610 100000\n61705 92576\n72177 100000\n14989 22489\n33303 49950\n45423 68067\n89739 100000\n34982 52469\n33013 49522\n98802 100000\n47313 70950\n84668 100000\n2783 4183\n89446 100000\n90988 100000\n90391 100000\n56431 84633\n38865 58230\n58264 87413\n2586 3887\n21665 32495\n25127 37678\n65247 97873\n60423 90653\n46513 69745\n35161 52731\n69181 100000\n47772 71646\n75149 100000\n10029 15109\n94892 100000\n18431 27619\n99304 100000\n57283 85937\n43820 65656\n57319 85994\n2978 4474\n32399 48586\n91300 100000\n67731 100000\n31616 47401\n69270 100000\n92672 100000\n1050 1578\n4762 7175\n50988 76504\n1647 2472\n89606 100000\n46132 69155\n47271 70887\n13907 20883\n24005 36003\n31756 47612\n86153 100000\n73396 100000\n160 241\n77831 100000\n13457 20219\n48106 72138\n9048 13616\n68561 100000\n57325 86002\n27487 41199\n54436 81649\n83992 100000\n37836 56707\n30176 45228\n53557 80345\n35555 53318\n31460 47168\n55474 83198\n78468 100000\n52196 78304\n40185 60220\n48643 72957\n48078 72100\n87763 100000\n18283 27398\n45893 68786\n37823 56685\n72578 100000\n13123 19732\n28345 42491\n8499 12798\n49380 74058\n54377 81570\n41829 62696\n30358 45490\n86355 100000\n74608 100000\n75858 100000\n35913 53850\n90155 100000\n80465 100000\n91743 100000\n45686 68478\n85400 100000\n65565 98346\n97287 100000\n10917 16440\n95736 100000\n58155 87248\n83717 100000\n7577 11418\n41997 62953\n77309 100000\n90186 100000\n83249 100000\n27316 40941\n23986 35977\n63975 95986\n13147 19764\n53811 80726\n14301 21466\n84529 100000\n50422 75625\n25111 37653\n8557 12889\n76245 100000\n89925 100000\n41732 62554\n50057 75074\n56669 85003\n75680 100000\n2079 3116\n36513 54761\n55336 82984\n57278 85930\n82484 100000\n92037 100000\n97297 100000\n73525 100000\n17848 26774\n88883 100000\n66035 99050\n39891 59776\n10673 16076\n37640 56417\n91984 100000\n90467 100000\n31696 47521\n32235 48337\n1649 2476\n2144 3213\n20035 30047\n75346 100000\n38761 58070\n56271 84393\n71547 100000\n13125 19735\n44525 66728\n94055 100000\n69425 100000\n26970 40424\n64230 96362\n87747 100000\n75847 100000\n48408 72589\n88242 100000\n44925 67314\n62470 93718\n7644 11519\n57719 86593\n31114 46644\n83121 100000\n58010 87031\n59609 89436\n66672 100000\n79711 100000\n18 25\n72294 100000\n93533 100000\n16353 24547\n45298 67881\n13836 20773\n93903 100000\n74555 100000\n97583 100000\n40772 61100\n65020 97539\n5893 8895\n36660 54977\n90149 100000\n80534 100000\n32170 48241\n43565 65275\n22462 33717\n23173 34765\n42268 63355\n83541 100000\n23942 35913\n64697 97064\n39060 58517\n65907 98846\n4302 6468\n58978 88470\n75751 100000\n22811 34227\n39904 59793\n17238 25858\n74473 100000\n95705 100000\n84492 100000\n27263 40866\n83840 100000\n84025 100000\n3564 5350\n56633 84949\n23044 34577\n79227 100000\n38981 58405\n42433 63603\n53467 80206\n68725 100000\n88529 100000\n70840 100000\n3122 4692\n31406 47086\n88941 100000\n14916 22379\n66900 100000\n97346 100000\n1184 1786\n9578 14407\n36245 54349\n18972 28446\n53881 80832\n36074 54092\n9068 13646\n76718 100000\n21154 31714\n60245 90394\n91338 100000\n50313 75459\n75172 100000\n98653 100000\n33783 50665\n41845 62718\n93517 100000\n11224 16902\n90054 100000\n51529 77301\n64292 96457\n80932 100000\n28880 43299\n32046 48058\n20409 30600\n44022 65961\n95815 100000\n11147 16783\n23958 35937\n35633 53438\n70808 100000\n71845 100000\n73706 100000\n419 619\n84208 100000\n44929 67320\n51312 76987\n29088 43607\n21808 32721\n88026 100000\n524 784\n9568 14393\n96927 100000\n78677 100000\n28848 43250\n54330 81504\n74279 100000\n10911 16431\n86261 100000\n89704 100000\n80197 100000\n8367 12592\n21804 32713\n25093 37625\n14332 21516\n80727 100000\n32237 48339\n89553 100000\n22509 33779\n82084 100000\n63533 95322\n46906 70342\n50796 76198\n9692 14575\n30789 46157\n13421 20168\n91993 100000\n39381 58997\n42669 63945\n57167 85761\n94526 100000\n80965 100000\n51223 76858\n17167 25758\n21886 32843\n39506 59182\n97829 100000\n74767 100000\n17 24\n75083 100000\n97263 100000\n9361 14080\n41227 61789\n3031 4557\n76206 100000\n76735 100000\n29856 44762\n11117 16740\n82002 100000\n71282 100000\n80984 100000\n40572 60792\n50359 75527\n91658 100000\n61783 92691\n99349 100000\n95623 100000\n87264 100000\n58214 87338\n93845 100000\n13980 20984\n24479 36701\n29689 44516\n29130 43670\n52759 79135\n17581 26379\n4746 7149\n16191 24294\n80735 100000\n64472 96724\n89929 100000\n91239 100000\n41255 61826\n78276 100000\n47787 71670\n484 721\n27110 40637\n6610 9985\n63820 95752\n5541 8359\n38142 57156\n17270 25908\n65147 97728\n31904 47835\n77038 100000\n48191 72268\n89015 100000\n25335 37978\n46449 69649\n27985 41961\n40650 60911\n87919 100000\n39065 58524\n23234 34862\n69767 100000\n48500 72734\n16937 25397\n73203 100000\n20997 31473\n35457 53170\n51473 77218\n80671 100000\n23439 35164\n22374 33580\n40827 61184\n99112 100000\n31612 47394\n51497 77251\n51546 77327\n76756 100000\n73617 100000\n15749 23632\n77370 100000\n21169 31738\n97317 100000\n69113 100000\n2856 4290\n56555 84825\n89038 100000\n21054 31568\n13102 19704\n82209 100000\n92209 100000\n1386 2086\n37118 55653\n69643 100000\n4250 6390\n34345 51507\n65189 97789\n10230 15414\n79020 100000\n49047 73555\n29728 44575\n60093 90168\n59150 88730\n84770 100000\n13570 20376\n42590 63830\n64677 97032\n90394 100000\n93429 100000\n90566 100000\n51390 77104\n2829 4250\n43959 65867\n21591 32373\n88142 100000\n92500 100000\n44104 66090\n70631 100000\n19207 28803\n34000 50988\n2641 3970\n322 471\n69106 100000\n32422 48621\n92893 100000\n42942 64338\n8937 13445\n76942 100000\n41303 61894\n97275 100000\n52349 78530\n42102 63109\n77015 100000\n49578 74365\n65422 98133\n81050 100000\n37427 56110\n65906 98845\n61071 91626\n21195 31777\n64676 97031\n8969 13491\n72593 100000\n31933 47875\n7084 10682\n76816 100000\n28347 42495\n40296 60387\n83161 100000\n70980 100000\n75911 100000\n14266 21406\n65365 98047\n57916 86885\n41741 62568\n609 914\n48592 72879\n56529 84783\n33201 49805\n97576 100000\n45034 67477\n81169 100000\n20274 30407\n28834 43226\n21707 32561\n39685 59456\n38063 57039\n96404 100000\n34538 51806\n86419 100000\n18864 28276\n66278 99416\n4681 7051\n70337 100000\n37144 55694\n47839 71748\n98745 100000\n90809 100000\n99691 100000\n60973 91478\n73136 100000\n2350 3534\n92939 100000\n87240 100000\n1098 1650\n40308 60402\n36505 54749\n49013 73503\n66525 99791\n53538 80313\n34428 51631\n32207 48295\n75865 100000\n51189 76806\n84146 100000\n50105 75144\n90045 100000\n81494 100000\n58765 88151\n35585 53365\n29211 43792\n32781 49167\n31044 46537\n63739 95628\n48416 72603\n11311 17029\n94149 100000\n54130 81204\n50314 75461\n31644 47442\n24596 36870\n72148 100000\n96499 100000\n41753 62583\n54861 82269\n53281 79926\n58307 87477\n87260 100000\n80116 100000\n81333 100000\n6310 9534\n35232 52840\n31424 47113\n28579 42840\n8177 12312\n50953 76447\n88363 100000\n95900 100000\n53599 80412\n91589 100000\n301 440\n48305 72438\n24737 37085\n57628 86456\n7753 11689\n22857 34296\n63132 94738\n49004 73490\n31683 47499\n47855 71769\n68130 100000\n84989 100000\n10639 16023\n78990 100000\n77148 100000\n35444 53152\n31 45\n75166 100000\n24141 36203\n56550 84818\n19998 29995\n99396 100000\n99451 100000\n37453 56145\n84291 100000\n95163 100000\n14055 21095\n8416 12672\n28064 42080\n70037 100000\n59820 89752\n90958 100000\n2937 4418\n89743 100000\n42894 64264\n74020 100000\n48163 72226\n32106 48145\n785 1179\n48837 73240\n318 465\n49603 74405\n2058 3083\n26084 39120\n45143 67648\n26663 39976\n93341 100000\n54176 81271\n27141 40684\n84653 100000\n25061 37578\n19410 29102\n29863 44770\n3919 5887\n47990 71961\n530 795\n17349 26031\n77634 100000\n16652 24985\n48811 73202\n31684 47501\n69464 100000\n48750 73114\n70642 100000\n47706 71550\n95264 100000\n47056 70566\n68782 100000\n74681 100000\n1313 1973\n33561 50336\n88426 100000\n33279 49915\n71568 100000\n97095 100000\n48193 72271\n33667 50496\n93504 100000\n1827 2736\n64174 96278\n84900 100000\n24295 36430\n26356 39522\n24645 36947\n88427 100000\n45280 67851\n45539 68241\n51926 77893\n40599 60835\n77266 100000\n86965 100000\n12460 18750\n72663 100000\n78926 100000\n16092 24146\n15846 23769\n5924 8944\n84489 100000\n26058 39079\n66390 99587\n62165 93262\n75095 100000\n44464 66634\n55959 83927\n85728 100000\n72261 100000\n44799 67132\n54129 81203\n18862 28273\n64608 96925\n91504 100000\n14982 22480\n18513 27742\n59921 89902\n40614 60857\n35706 53540\n78002 100000\n50531 75789\n29001 43478\n22323 33508\n97813 100000\n52195 78303\n85021 100000\n2185 3275\n9545 14358\n19157 28726\n35476 53200\n38580 57818\n11781 17719\n68172 100000\n34935 52398\n42186 63232\n64580 96881\n98318 100000\n86321 100000\n96972 100000\n43053 64509\n21669 32503\n77229 100000\n57063 85601\n42473 63665\n76715 100000\n12945 19459\n17511 26271\n28313 42445\n39578 59292\n36012 54004\n28592 42859\n16253 24390\n65754 98627\n4928 7431\n79248 100000\n81833 100000\n98755 100000\n74394 100000\n29888 44808\n90554 100000\n36836 55246\n152 230\n69918 100000\n80420 100000\n20524 30777\n76599 100000\n36716 55065\n19761 29632\n75807 100000\n36158 54223\n85322 100000\n74722 100000\n81983 100000\n63151 94769\n99562 100000\n64685 97045\n69436 100000\n54829 82220\n32983 49472\n46880 70302\n48719 73068\n56108 84145\n65818 98718\n45507 68190\n64886 97337\n63984 95999\n51811 77719\n38300 57398\n33513 50264\n60497 90766\n80766 100000\n37396 56065\n15858 23786\n87288 100000\n29955 44912\n94671 100000\n71988 100000\n31723 47566\n47824 71726\n89350 100000\n66153 99228\n57873 86816\n82443 100000\n3618 5433\n10853 16347\n83841 100000\n4647 6993\n18206 27283\n77315 100000\n75103 100000\n15114 22677\n98964 100000\n60155 90262\n6016 9088\n20757 31126\n65664 98495\n77337 100000\n67313 100000\n97082 100000\n16819 25225\n94140 100000\n19277 28906\n83527 100000\n13086 19677\n42755 64061\n9203 13843\n90979 100000\n44139 66138\n57690 86550\n84950 100000\n72311 100000\n53043 79563\n35544 53303\n80557 100000\n40831 61189\n98145 100000\n80281 100000\n66791 100000\n73927 100000\n87774 100000\n47299 70929\n60085 90155\n8988 13522\n48211 72299\n14468 21717\n32865 49290\n16541 24819\n75872 100000\n13180 19814\n56519 84767\n34580 51870\n40583 60812\n36457 54675\n13511 20290\n86905 100000\n56358 84523\n88993 100000\n9747 14664\n12834 19308\n70135 100000\n68382 100000\n29267 43881\n19067 28590\n25754 38618\n15561 23356\n93784 100000\n23416 35128\n6499 9816\n37884 56776\n64770 97165\n50074 75098\n60201 90330\n90605 100000\n10826 16305\n43699 65476\n27084 40595\n32156 48219\n47065 70577\n25315 37950\n38109 57107\n44548 66768\n44487 66668\n38841 58193\n4998 7536\n31455 47162\n79017 100000\n94145 100000\n26566 39829\n45753 68580\n17569 26362\n42013 62973\n40225 60277\n81883 100000\n45246 67800\n72055 100000\n58886 88326\n63321 95006\n74165 100000\n42654 63923\n11869 17857\n13489 20261\n94743 100000\n982 1475\n94579 100000\n82864 100000\n78386 100000\n30691 46006\n30916 46351\n5187 7826\n54580 81854\n9961 15004\n10430 15708\n56664 84996\n58969 88458\n22530 33807\n16363 24562\n97888 100000\n11516 17337\n64170 96273\n40388 60522\n387 569\n3378 5075\n8520 12831\n10610 15980\n87445 100000\n8356 12571\n37013 55499\n17324 25993\n86907 100000\n97106 100000\n76751 100000\n54239 81365\n95942 100000\n20018 30026\n71810 100000\n21614 32412\n5833 8798\n40085 60070\n70946 100000\n75895 100000\n13080 19668\n27161 40713\n56915 85374\n53618 80441\n72444 100000\n46535 69779\n18216 27297\n86998 100000\n67583 100000\n71219 100000\n66888 100000\n5722 8631\n66443 99664\n96001 100000\n48096 72125\n16553 24838\n44182 66203\n54139 81217\n97939 100000\n89601 100000\n36381 54559\n33682 50516\n63402 95129\n64700 97069\n38053 57025\n12551 18890\n69910 100000\n31791 47665\n31005 46481\n38195 57235\n76001 100000\n93870 100000\n39029 58477\n16368 24568\n32591 48881\n79338 100000\n93849 100000\n36410 54604\n69783 100000\n56971 85460\n53202 79812\n48245 72353\n75558 100000\n29132 43673\n60404 90623\n90622 100000\n68688 100000\n62513 93777\n64307 96481\n1309 1969\n18493 27714\n71121 100000\n12801 19263\n88666 100000\n4863 7330\n47047 70554\n44539 66751\n65516 98274\n59908 89884\n52682 79025\n67667 100000\n82798 100000\n83831 100000\n91795 100000\n16864 25290\n42595 63837\n67380 100000\n8721 13126\n61322 92003\n32293 48429\n80031 100000\n40856 61226\n6053 9144\n53034 79549\n37518 56239\n88066 100000\n71684 100000\n82633 100000\n70728 100000\n91541 100000\n88766 100000\n79674 100000\n63469 95229\n18271 27381\n59805 89732\n45806 68654\n73046 100000\n1734 2603\n86415 100000\n44300 66383\n58838 88262\n26145 39215\n41370 61997\n97811 100000\n12151 18293\n66938 100000\n62147 93240\n33925 50870\n58441 87673\n27421 41097\n84971 100000\n98131 100000\n44002 65930\n71893 100000\n90097 100000\n95848 100000\n44998 67425\n35502 53240\n71426 100000\n10105 15229\n97045 100000\n47907 71845\n87432 100000\n56726 85083\n86335 100000\n40178 60210\n44924 67312\n88783 100000\n20966 31429\n77548 100000\n87868 100000\n2528 3798\n10099 15218\n25069 37590\n15021 22536\n85453 100000\n61960 92956\n19073 28599\n13893 20863\n72687 100000\n56604 84906\n28438 42629\n85489 100000\n97298 100000\n94737 100000\n13880 20842\n70414 100000\n86464 100000\n81389 100000\n74446 100000\n97292 100000\n59454 89194\n56146 84204\n96018 100000\n89479 100000\n79456 100000\n6907 10427\n76721 100000\n9743 14657\n84053 100000\n9623 14474\n13732 20618\n53497 80250\n94409 100000\n35580 53357\n19591 29376\n39996 59937\n66462 99694\n98376 100000\n54517 81768\n59119 88686\n14681 22034\n18165 27225\n17152 25735\n15845 23768\n80600 100000\n29606 44388\n8543 12868\n49895 74831\n58828 88245\n43384 65005\n67319 100000\n4633 6973\n8770 13199\n61658 92502\n84324 100000\n86970 100000\n34252 51364\n45525 68220\n13391 20121\n39146 58641\n52233 78359\n37507 56226\n24197 36288\n33884 50814\n46587 69854\n45355 67965\n45245 67798\n57822 86741\n17015 25523\n41760 62593\n65875 98799\n81809 100000\n75819 100000\n61287 91948\n78489 100000\n24690 37014\n88422 100000\n50358 75525\n69293 100000\n13682 20541\n37607 56369\n99647 100000\n74869 100000\n86145 100000\n11346 17081\n98763 100000\n75057 100000\n62652 93996\n28277 42393\n82005 100000\n57969 86966\n86123 100000\n85626 100000\n18519 27751\n78022 100000\n51974 77962\n56516 84762\n58041 87078\n86155 100000\n62405 93623\n99537 100000\n3967 5954\n6152 9288\n29760 44624\n36390 54573\n87912 100000\n18135 27182\n61051 91595\n22850 34287\n36155 54218\n71909 100000\n23768 35654\n64063 96116\n38430 57593\n30057 45058\n57601 86415\n25784 38665\n49117 73652\n93266 100000\n24583 36852\n68441 100000\n68770 100000\n85365 100000\n29721 44563\n45408 68047\n93910 100000\n80784 100000\n35246 52863\n73553 100000\n58553 87835\n30836 46229\n4603 6926\n91370 100000\n17184 25780\n84254 100000\n89224 100000\n66984 100000\n45249 67806\n62824 94257\n9969 15017\n24694 37020\n79808 100000\n16142 24216\n1421 2138\n94817 100000\n91895 100000\n28649 42946\n36722 55074\n45291 67870\n41875 62768\n40279 60360\n94983 100000\n73411 100000\n32817 49219\n55705 83539\n42339 63462\n35010 52508\n75042 100000\n78087 100000\n39497 59168\n9633 14490\n87551 100000\n40694 60978\n75898 100000\n48497 72729\n9638 14498\n13419 20165\n30124 45157\n58980 88473\n94729 100000\n91033 100000\n12056 18149\n75536 100000\n26924 40357\n28269 42380\n1062 1595\n15981 23976\n59899 89871\n78566 100000\n58501 87758\n91561 100000\n51440 77173\n81075 100000\n71729 100000\n93455 100000\n33189 49787\n29306 43937\n51045 76588\n98386 100000\n93609 100000\n48804 73192\n58827 88243\n56063 84077\n91128 100000\n53351 80020\n60606 90925\n75015 100000\n78528 100000\n41920 62835\n11695 17598\n36661 54978\n52106 78165\n10067 15169\n60358 90554\n71000 100000\n26709 40046\n62356 93550\n15941 23913\n61261 91909\n59245 88879\n75203 100000\n75919 100000\n80458 100000\n70479 100000\n12370 18615\n24759 37116\n8013 12070\n93458 100000\n53922 80894\n90607 100000\n14294 21455\n44037 65984\n80496 100000\n83989 100000\n45953 68880\n1327 1996\n48616 72918\n97025 100000\n63534 95324\n23488 35241\n40027 59980\n64146 96238\n43158 64663\n22118 33196\n9292 13979\n73549 100000\n74272 100000\n62813 94238\n74032 100000\n14900 22354\n57546 86333\n39641 59385\n98424 100000\n94452 100000\n19813 29708\n34160 51228\n33748 50615\n73941 100000\n68505 100000\n70113 100000\n56589 84883\n19478 29202\n80586 100000\n26199 39288\n11602 17468\n28316 42449\n73143 100000\n58596 87898\n17890 26837\n31130 46665\n96851 100000\n24790 37166\n14271 21414\n64967 97460\n20119 30174\n63681 95539\n61198 91818\n83472 100000\n22846 34280\n31660 47466\n18311 27441\n92413 100000\n66341 99512\n33458 50188\n10840 16327\n54173 81266\n50486 75722\n80550 100000\n76483 100000\n80321 100000\n97577 100000\n7803 11765\n32705 49051\n67522 100000\n12299 18512\n36593 54881\n64129 96214\n95350 100000\n70868 100000\n98480 100000\n89534 100000\n84137 100000\n72979 100000\n9772 14706\n7724 11646\n540 810\n6887 10400\n67249 100000\n97247 100000\n30851 46250\n22557 33851\n87061 100000\n38373 57508\n383 561\n25988 38974\n88696 100000\n54208 81318\n28478 42692\n25347 37997\n45740 68558\n74737 100000\n61027 91559\n39371 58979\n14380 21586\n2355 3542\n88742 100000\n31872 47788\n37011 55495\n25017 37507\n37508 56227\n45199 67734\n98839 100000\n36481 54711\n22 31\n33784 50666\n38280 57368\n67376 100000\n52732 79100\n595 893\n94839 100000\n87048 100000\n2229 3343\n22278 33446\n7768 11709\n53342 80008\n24827 37222\n37873 56761\n45529 68226\n56757 85132\n13831 20767\n61220 91851\n36277 54401\n39153 58654\n38201 57247\n56533 84791\n50947 76438\n57642 86477\n78101 100000\n38169 57198\n43866 65725\n11176 16831\n3274 4920\n25294 37918\n23015 34534\n28612 42891\n74028 100000\n95618 100000\n50520 75774\n49510 74255\n52582 78879\n49072 73587\n41508 62213\n91298 100000\n23782 35674\n14119 21190\n99509 100000\n19756 29627\n31941 47887\n36768 55140\n33683 50518\n38892 58272\n36840 55251\n71085 100000\n27166 40719\n26355 39520\n83513 100000\n80335 100000\n1844 2761\n27983 41959\n49559 74335\n2396 3599\n56118 84159\n79997 100000\n4219 6339\n19075 28603\n16892 25334\n89999 100000\n28985 43453\n78285 100000\n42726 64021\n39174 58688\n54705 82036\n71769 100000\n13519 20300\n36038 54042\n28664 42968\n80013 100000\n85476 100000\n82776 100000\n33920 50863\n86967 100000\n7615 11477\n87929 100000\n9224 13874\n49240 73841\n47541 71300\n86605 100000\n29016 43502\n23921 35879\n90999 100000\n34832 52245\n80028 100000\n71126 100000\n51065 76620\n15883 23827\n92759 100000\n77442 100000\n78851 100000\n23581 35378\n47204 70787\n65688 98534\n87364 100000\n32285 48417\n16314 24489\n77250 100000\n54950 82396\n7140 10769\n97793 100000\n75822 100000\n78415 100000\n68145 100000\n62552 93839\n84114 100000\n92099 100000\n62130 93212\n19740 29604\n16887 25328\n78613 100000\n12823 19293\n50027 75031\n54109 81176\n83452 100000\n41234 61797\n54679 82000\n19547 29308\n48651 72968\n36037 54040\n202 300\n62589 93897\n1410 2124\n79086 100000\n31011 46490\n796 1195\n18022 27023\n62211 93329\n88204 100000\n67388 100000\n89324 100000\n12762 19204\n12176 18329\n50541 75803\n41907 62816\n99430 100000\n22871 34316\n39522 59210\n40358 60479\n6092 9200\n25404 38087\n48490 72718\n26776 40140\n97525 100000\n73211 100000\n47517 71261\n41710 62518\n58666 88006\n15218 22844\n6975 10528\n18868 28282\n31651 47454\n77272 100000\n87838 100000\n91071 100000\n14700 22059\n87276 100000\n91423 100000\n4650 6999\n81006 100000\n44066 66027\n13717 20596\n86137 100000\n47526 71273\n97098 100000\n75510 100000\n23186 34786\n47419 71108\n59784 89703\n55949 83911\n66781 100000\n56820 85228\n42408 63564\n63608 95430\n17536 26310\n91333 100000\n29707 44541\n86609 100000\n40480 60655\n11922 17940\n41024 61490\n28703 43028\n64571 96871\n96071 100000\n33258 49883\n15126 22697\n52334 78508\n52554 78836\n19325 28975\n13695 20561\n77401 100000\n72824 100000\n20251 30371\n19372 29041\n3568 5358\n59151 88732\n10058 15155\n28949 43397\n30087 45103\n91767 100000\n44056 66013\n78223 100000\n93530 100000\n39564 59270\n56007 83993\n40000 59941\n22471 33728\n10307 15524\n86534 100000\n21360 32024\n46087 69088\n62757 94151\n92660 100000\n82856 100000\n74970 100000\n6174 9324\n42146 63176\n69869 100000\n65771 98650\n84500 100000\n10052 15147\n56212 84308\n26996 40462\n94942 100000\n90526 100000\n74305 100000\n89913 100000\n10870 16371\n75382 100000\n29057 43563\n92526 100000\n8043 12115\n41562 62294\n82036 100000\n96718 100000\n28020 42019\n89750 100000\n96704 100000\n44294 66373\n40728 61029\n26208 39304\n81341 100000\n16487 24744\n66494 99742\n73863 100000\n26393 39578\n17646 26471\n36829 55237\n25813 38708\n69091 100000\n19420 29114\n4279 6435\n35187 52772\n31459 47167\n41585 62328\n31508 47239\n8005 12060\n48030 72025\n30086 45101\n7457 11240\n77574 100000\n39253 58806\n49426 74127\n62119 93196\n73258 100000\n68016 100000\n51734 77609\n92316 100000\n37399 56070\n33603 50398\n83482 100000\n23366 35061\n5339 8059\n23284 34933\n95366 100000\n78587 100000\n56456 84672\n19991 29984\n42292 63390\n17813 26723\n36988 55466\n1132 1707\n6669 10074\n5516 8321\n63014 94554\n62043 93078\n80585 100000\n28751 43099\n18197 27271\n73084 100000\n53786 80693\n88678 100000\n43838 65686\n2231 3345\n2221 3330\n13467 20232\n9494 14283\n8869 13342\n34794 52192\n37241 55833\n58084 87142\n25224 37815\n47097 70623\n45935 68853\n83790 100000\n21213 31806\n25977 38954\n35117 52660\n77790 100000\n70622 100000\n65312 97964\n52445 78672\n84716 100000\n83411 100000\n10106 15230\n92328 100000\n82123 100000\n79632 100000\n10008 15078\n29043 43543\n87711 100000\n39166 58675\n10359 15603\n25710 38554\n26958 40406\n40223 60274\n56393 84579\n37080 55598\n38210 57261\n44903 67286\n66591 99888\n87327 100000\n39835 59690\n98593 100000\n81266 100000\n4415 6646\n83926 100000\n94910 100000\n487 727\n9397 14135\n73855 100000\n38118 57120\n51853 77780\n4200 6308\n59476 89225\n47632 71439\n92973 100000\n98936 100000\n64142 96232\n2069 3101\n28765 43119\n67295 100000\n12322 18546\n23021 34543\n10757 16203\n90028 100000\n57237 85867\n38765 58076\n65920 98867\n29977 44944\n92159 100000\n28594 42863\n89359 100000\n36626 54931\n53157 79741\n82240 100000\n48280 72402\n83294 100000\n24484 36710\n24129 36185\n92628 100000\n20825 31217\n55419 83115\n56710 85059\n6867 10372\n60960 91460\n35357 53022\n73686 100000\n10531 15853\n6094 9203\n90342 100000\n88147 100000\n30830 46221\n1369 2061\n53272 79913\n44856 67217\n48397 72573\n33433 50151\n18856 28266\n3590 5392\n68053 100000\n15400 23111\n62042 93076\n34367 51540\n24296 36431\n98142 100000\n80290 100000\n54470 81698\n93627 100000\n47763 71634\n96116 100000\n53510 80270\n22654 33990\n60678 91032\n62854 94303\n60992 91506\n62026 93055\n30656 45952\n41210 61760\n91488 100000\n31861 47771\n97928 100000\n3975 5967\n36343 54502\n64830 97250\n74302 100000\n69040 100000\n46933 70383\n11727 17646\n30398 45549\n7611 11469\n43343 64946\n18797 28177\n71364 100000\n71155 100000\n17523 26289\n95891 100000\n226 333\n21460 32178\n70023 100000\n33405 50104\n98207 100000\n97373 100000\n61180 91790\n85183 100000\n65806 98701\n39027 58473\n82332 100000\n26766 40124\n67013 100000\n38617 57873\n71744 100000\n77945 100000\n17866 26803\n71187 100000\n79885 100000\n85210 100000\n61671 92522\n73651 100000\n64435 96671\n320 468\n10657 16050\n74704 100000\n48131 72173\n32314 48460\n34030 51033\n11510 17327\n92275 100000\n49010 73497\n51105 76678\n30558 45807\n95902 100000\n6986 10541\n67089 100000\n91199 100000\n99163 100000\n77123 100000\n34033 51039\n78968 100000\n61895 92862\n44829 67172\n93164 100000\n86051 100000\n33112 49675\n80266 100000\n62530 93806\n67609 100000\n31852 47758\n45888 68778\n36799 55190\n13750 20645\n85672 100000\n12059 18154\n64361 96561\n33316 49966\n85515 100000\n36347 54507\n649 971\n23507 35269\n30702 46021\n61042 91580\n92483 100000\n53893 80849\n66913 100000\n25082 37609\n43370 64985\n24065 36093\n70727 100000\n13503 20278\n44699 66987\n57058 85592\n5538 8354\n26751 40103\n35210 52807\n40282 60364\n55408 83096\n19972 29952\n95274 100000\n23395 35100\n62739 94124\n88450 100000\n28909 43344\n23914 35868\n62019 93045\n6221 9393\n65394 98091\n76018 100000\n80848 100000\n7530 11347\n80050 100000\n78806 100000\n23444 35170\n62347 93536\n22540 33823\n98231 100000\n1764 2642\n56200 84289\n45209 67748\n97104 100000\n61885 92846\n97350 100000\n19210 28807\n28475 42688\n52363 78549\n48216 72308\n45983 68929\n53774 80676\n3751 5628\n23193 34795\n92066 100000\n20141 30207\n55183 82745\n27988 41966\n54161 81246\n98555 100000\n6816 10291\n76287 100000\n73329 100000\n37062 55571\n4305 6473\n80991 100000\n99116 100000\n47257 70868\n58772 88162\n67616 100000\n91269 100000\n49256 73865\n22822 34244\n59717 89600\n86558 100000\n29700 44531\n28102 42133\n98042 100000\n29084 43603\n95545 100000\n71942 100000\n82987 100000\n91959 100000\n61907 92882\n6868 10373\n49459 74175\n21748 32624\n19498 29232\n76256 100000\n98526 100000\n94810 100000\n61498 92268\n6229 9405\n78403 100000\n65942 98901\n57042 85569\n45759 68588\n10288 15496\n94203 100000\n23982 35971\n60748 91133\n45416 68056\n64790 97190\n40859 61231\n91876 100000\n58046 87086\n47032 70536\n90021 100000\n6808 10281\n15007 22516\n19786 29668\n58344 87534\n41390 62025\n99777 100000\n3832 5749\n9705 14596\n97147 100000\n16648 24979\n740 1109\n53924 80896\n16734 25105\n59104 88663\n61575 92384\n88836 100000\n95620 100000\n45913 68819\n19084 28619\n99259 100000\n48764 73135\n53840 80772\n55833 83733\n6534 9871\n86266 100000\n39408 59036\n77522 100000\n12726 19156\n18724 28073\n98457 100000\n7215 10873\n87302 100000\n14744 22124\n84732 100000\n90797 100000\n88380 100000\n10257 15452\n44136 66134\n7071 10663\n80519 100000\n26106 39155\n85364 100000\n83155 100000\n84298 100000\n48195 72273\n57488 86247\n99138 100000\n56336 84495\n30903 46331\n53754 80646\n23505 35265\n29505 44242\n92763 100000\n93643 100000\n61826 92755\n41317 61915\n44220 66255\n79319 100000\n60528 90814\n93944 100000\n39216 58754\n73862 100000\n46255 69350\n77765 100000\n11469 17270\n79220 100000\n97301 100000\n42311 63420\n91248 100000\n49194 73770\n36895 55330\n98365 100000\n37904 56808\n66957 100000\n52019 78034\n65975 98954\n95603 100000\n49438 74143\n30805 46182\n46713 70046\n59124 88692\n66210 99310\n11416 17187\n81679 100000\n81035 100000\n43409 65043\n64321 96500\n40177 60208\n75466 100000\n91141 100000\n54267 81408\n63441 95185\n70715 100000\n74765 100000\n59757 89661\n82247 100000\n5488 8279\n24427 36624\n7262 10948\n73089 100000\n22633 33961\n49845 74755\n55660 83471\n93523 100000\n56235 84342\n75686 100000\n91677 100000\n40004 59946\n78878 100000\n22934 34413\n19028 28531\n60838 91269\n94912 100000\n10689 16098\n40440 60598\n86410 100000\n90827 100000\n45570 68287\n28474 42687\n34377 51558\n32392 48574\n70552 100000\n60730 91110\n2284 3430\n56290 84424\n34112 51156\n2179 3264\n68675 100000\n94720 100000\n22174 33284\n56498 84735\n35138 52692\n17664 26499\n82623 100000\n11080 16684\n94495 100000\n77885 100000\n48436 72634\n53456 80188\n77967 100000\n99879 100000\n45947 68870\n22202 33329\n82937 100000\n63404 95133\n84178 100000\n96753 100000\n86650 100000\n60097 90173\n34183 51260\n16499 24762\n52376 78567\n22722 34090\n6771 10225\n17788 26684\n25905 38844\n24377 36550\n1952 2921\n44961 67371\n28529 42769\n28211 42291\n28922 43360\n4394 6612\n27664 41471\n47838 71746\n62681 94037\n53976 80972\n19748 29616\n62467 93713\n25951 38916\n74372 100000\n885 1327\n16280 24429\n6213 9380\n17958 26927\n35234 52843\n37753 56584\n65480 98220\n86132 100000\n61333 92020\n4625 6959\n62212 93330\n49992 74979\n36908 55349\n43765 65576\n91371 100000\n89374 100000\n17143 25720\n8840 13299\n131 196\n64825 97242\n90127 100000\n65588 98383\n1994 2985\n7698 11604\n40385 60517\n83525 100000\n51577 77378\n15002 22509\n44387 66510\n51973 77960\n57190 85795\n71982 100000\n29332 43976\n47696 71534\n88799 100000\n26784 40151\n7666 11555\n11647 17529\n93965 100000\n29264 43876\n98391 100000\n62201 93313\n87006 100000\n84703 100000\n35371 53046\n61702 92570\n18758 28124\n162 244\n41723 62539\n16005 24014\n87625 100000\n10481 15783\n42695 63979\n83017 100000\n41124 61643\n17691 26540\n19894 29833\n90583 100000\n87465 100000\n93631 100000\n3196 4801\n42284 63380\n8154 12277\n69662 100000\n28603 42876\n34605 51905\n67763 100000\n13189 19828\n76233 100000\n3311 4979\n58378 87578\n50564 75839\n78128 100000\n99441 100000\n68431 100000\n80431 100000\n87520 100000\n88926 100000\n15448 23182\n68767 100000\n37804 56662\n37881 56772\n2807 4219\n13166 19792\n97166 100000\n15715 23586\n91934 100000\n33441 50160\n6135 9263\n47093 70618\n9750 14668\n17232 25849\n27627 41418\n77097 100000\n62721 94096\n46448 69648\n27975 41946\n3824 5739\n48766 73137\n96113 100000\n23376 35074\n16497 24758\n28991 43463\n3748 5624\n76305 100000\n91342 100000\n46762 70123\n95605 100000\n31939 47884\n91577 100000\n97369 100000\n37042 55541\n30319 45435\n4558 6857\n91544 100000\n21179 31754\n63987 96005\n15605 23423\n69487 100000\n64647 96985\n68075 100000\n5394 8142\n80663 100000\n84170 100000\n91152 100000\n65943 98903\n13990 20999\n37265 55871\n83434 100000\n63855 95806\n78877 100000\n79362 100000\n11399 17162\n62179 93280\n72762 100000\n36304 54445\n10721 16150\n12954 19475\n54177 81272\n88336 100000\n12580 18933\n98738 100000\n8240 12399\n75756 100000\n42968 64378\n69447 100000\n48631 72941\n47486 71216\n27077 40583\n26272 39399\n34778 52167\n77214 100000\n77028 100000\n89660 100000\n2673 4018\n64655 96995\n56068 84084\n89991 100000\n88859 100000\n8929 13433\n59940 89935\n48591 72877\n51033 76569\n86023 100000\n88413 100000\n79053 100000\n62461 93703\n33995 50983\n39715 59501\n26428 39631\n89789 100000\n70094 100000\n35394 53080\n78702 100000\n18130 27173\n81118 100000\n62415 93639\n97448 100000\n18869 28284\n2567 3860\n49093 73615\n89672 100000\n55263 82872\n59894 89863\n92246 100000\n41411 62060\n78113 100000\n92463 100000\n87015 100000\n40701 60986\n89652 100000\n78631 100000\n64299 96468\n44740 67045\n68544 100000\n32498 48741\n9037 13601\n64521 96796\n23669 35512\n15509 23276\n5652 8523\n28374 42533\n2887 4338\n82114 100000\n87494 100000\n89861 100000\n86008 100000\n99927 100000\n76189 100000\n26410 39606\n50786 76183\n91336 100000\n20489 30722\n35956 53921\n94902 100000\n95035 100000\n73767 100000\n97800 100000\n48294 72421\n13272 19947\n19081 28614\n86228 100000\n14423 21650\n18091 27122\n76457 100000\n32898 49341\n61950 92939\n98611 100000\n95637 100000\n63306 94984\n49914 74859\n2569 3862\n22295 33467\n3977 5970\n9136 13742\n59759 89663\n83885 100000\n34820 52228\n23538 35309\n10532 15855\n75701 100000\n98977 100000\n30253 45341\n77305 100000\n17778 26669\n96366 100000\n46287 69403\n55203 82774\n70612 100000\n52906 79359\n21900 32862\n71347 100000\n241 354\n36989 55467\n50695 76040\n72140 100000\n22120 33199\n7474 11265\n88675 100000\n70923 100000\n16174 24270\n33662 50489\n77599 100000\n15418 23139\n21690 32537\n71612 100000\n24893 37321\n6567 9921\n56602 84904\n33713 50563\n89887 100000\n67323 100000\n54621 81916\n72459 100000\n70979 100000\n92047 100000\n89883 100000\n23851 35770\n15492 23246\n96956 100000\n66540 99811\n26035 39043\n15424 23148\n58108 87181\n68332 100000\n91217 100000\n29560 44321\n12113 18232\n68954 100000\n34420 51621\n42659 63930\n8107 12211\n80410 100000\n69948 100000\n72420 100000\n55736 83583\n52511 78768\n47716 71563\n27034 40520\n2922 4393\n88867 100000\n55982 83957\n80011 100000\n93069 100000\n47594 71376\n6381 9642\n53806 80721\n57840 86768\n14443 21678\n26065 39089\n54414 81618\n71625 100000\n28526 42764\n10521 15837\n79906 100000\n56569 84848\n61277 91932\n22757 34145\n71602 100000\n53265 79902\n30634 45919\n66761 100000\n88291 100000\n73357 100000\n3176 4771\n27265 40870\n62568 93864\n23055 34593\n32502 48747\n56342 84503\n87271 100000\n17777 26668\n74922 100000\n67942 100000\n95133 100000\n9585 14417\n81915 100000\n29706 44540\n91745 100000\n9850 14823\n82730 100000\n57821 86739\n66954 100000\n1675 2519\n75168 100000\n96491 100000\n8287 12466\n89377 100000\n74150 100000\n62831 94269\n90244 100000\n77505 100000\n89106 100000\n9302 13992\n51198 76819\n34673 52008\n26849 40244\n95422 100000\n54155 81240\n4583 6896\n31930 47870\n74761 100000\n9062 13635\n44050 66004\n31961 47921\n77230 100000\n41729 62548\n71307 100000\n36765 55135\n62967 94482\n61602 92422\n30393 45541\n8447 12718\n87313 100000\n35579 53355\n92455 100000\n84407 100000\n54056 81097\n85401 100000\n86811 100000\n49340 73994\n74059 100000\n80810 100000\n40290 60377\n30861 46267\n75650 100000\n45583 68309\n1874 2805\n78555 100000\n33770 50648\n4284 6441\n71449 100000\n50302 75441\n64751 97137\n11189 16848\n38387 57529\n40948 61370\n3757 5636\n59391 89102\n87205 100000\n88310 100000\n55327 82970\n56798 85197\n12951 19470\n66615 99924\n53126 79697\n93026 100000\n95131 100000\n5606 8454\n22895 34354\n98590 100000\n96159 100000\n42412 63572\n73322 100000\n84846 100000\n49163 73722\n64280 96438\n99494 100000\n7855 11840\n42351 63481\n73872 100000\n38219 57273\n36674 54998\n39573 59284\n8022 12083\n92838 100000\n69684 100000\n90019 100000\n7676 11569\n64368 96572\n26632 39927\n93813 100000\n55738 83587\n24215 36312\n77492 100000\n3321 4993\n26563 39824\n58664 88003\n22061 33109\n7541 11366\n86972 100000\n91236 100000\n17061 25597\n68845 100000\n87997 100000\n42845 64195\n54225 81343\n80172 100000\n80453 100000\n89081 100000\n18609 27885\n55164 82720\n79555 100000\n70357 100000\n67512 100000\n22727 34098\n82430 100000\n34996 52489\n6281 9484\n45715 68524\n62250 93388\n96850 100000\n44789 67116\n61113 91690\n36195 54274\n44706 66997\n8020 12080\n1486 2238\n70647 100000\n83310 100000\n86576 100000\n50580 75860\n91441 100000\n19970 29949\n35520 53268\n87044 100000\n30949 46401\n92932 100000\n94856 100000\n27568 41328\n46059 69046\n47831 71736\n82227 100000\n92200 100000\n39224 58766\n66845 100000\n93882 100000\n28295 42417\n940 1411\n96967 100000\n29487 44211\n26225 39329\n89858 100000\n92942 100000\n33773 50652\n91730 100000\n57463 86210\n44331 66428\n12768 19214\n81088 100000\n93829 100000\n76679 100000\n16028 24049\n89252 100000\n59795 89718\n17687 26533\n90953 100000\n93645 100000\n45716 68525\n1905 2853\n70475 100000\n43455 65112\n71299 100000\n86885 100000\n36738 55097\n36259 54371\n85560 100000\n21404 32093\n86138 100000\n48623 72929\n56619 84929\n9960 15002\n23209 34822\n78724 100000\n42299 63401\n40430 60585\n72813 100000\n76626 100000\n73715 100000\n30801 46176\n95168 100000\n20750 31115\n36500 54742\n98393 100000\n90359 100000\n63500 95273\n24963 37425\n98092 100000\n65324 97981\n68045 100000\n68865 100000\n1865 2791\n61819 92744\n62660 94008\n22532 33810\n87053 100000\n82940 100000\n85106 100000\n33545 50310\n16121 24189\n26852 40248\n53975 80971\n29058 43565\n27095 40614\n96514 100000\n61210 91836\n14597 21909\n96308 100000\n54594 81875\n63662 95511\n5872 8860\n74017 100000\n19456 29170\n57265 85908\n40149 60166\n91726 100000\n92235 100000\n28547 42796\n31804 47686\n68297 100000\n44460 66629\n92911 100000\n6109 9224\n85805 100000\n22461 33716\n27660 41465\n73225 100000\n97698 100000\n85196 100000\n95280 100000\n62289 93442\n50279 75408\n12877 19366\n83340 100000\n79515 100000\n93587 100000\n705 1049\n78960 100000\n23689 35539\n28799 43169\n4202 6311\n73318 100000\n67781 100000\n13008 19557\n49824 74724\n38815 58153\n91921 100000\n87426 100000\n4031 6049\n65858 98775\n51541 77320\n77017 100000\n49259 73869\n32610 48910\n29116 43649\n18260 27362\n83972 100000\n3333 5011\n9559 14380\n94136 100000\n71637 100000\n93518 100000\n80025 100000\n56786 85178\n22325 33510\n95465 100000\n65481 98222\n38106 57102\n89292 100000\n11309 17025\n57587 86392\n22092 33154\n26447 39655\n89206 100000\n82097 100000\n92141 100000\n80935 100000\n65470 98206\n86612 100000\n71046 100000\n36218 54305\n14780 22175\n65088 97636\n70577 100000\n66821 100000\n28676 42987\n78811 100000\n16390 24602\n71521 100000\n47247 70853\n49752 74622\n58446 87681\n88622 100000\n1190 1794\n19034 28539\n51336 77027\n69416 100000\n72005 100000\n26516 39754\n35816 53707\n63407 95138\n41386 62019\n64437 96674\n42954 64355\n67640 100000\n96647 100000\n22977 34481\n11683 17580\n95547 100000\n39366 58971\n25572 38336\n35044 52558\n4191 6296\n93484 100000\n69836 100000\n63675 95531\n19872 29799\n41042 61522\n22296 33468\n62563 93855\n4240 6375\n56480 84710\n82375 100000\n85766 100000\n38582 57821\n78692 100000\n88350 100000\n2997 4504\n52357 78540\n92784 100000\n50770 76160\n20137 30199\n41093 61596\n70199 100000\n56073 84091\n95761 100000\n82120 100000\n21126 31673\n45318 67908\n27915 41849\n98758 100000\n28182 42248\n19629 29434\n81368 100000\n12516 18837\n56280 84406\n54742 82093\n2570 3863\n37159 55713\n22046 33091\n10591 15949\n75244 100000\n21415 32110\n74027 100000\n7430 11199\n75263 100000\n69438 100000\n81800 100000\n31725 47569\n82995 100000\n32570 48850\n31909 47841\n52559 78844\n4043 6069\n35834 53736\n60657 91001\n59588 89403\n7625 11490\n67821 100000\n51834 77756\n82145 100000\n27862 41772\n43879 65747\n58133 87216\n28107 42139\n54889 82308\n30376 45517\n69677 100000\n18399 27573\n94926 100000\n60010 90042\n71375 100000\n63726 95607\n19646 29455\n79610 100000\n82966 100000\n56350 84512\n10347 15582\n42518 63728\n88669 100000\n77312 100000\n54778 82143\n34323 51470\n22526 33801\n79686 100000\n10635 16018\n23286 34937\n49587 74378\n30918 46354\n81690 100000\n85343 100000\n39205 58735\n11054 16649\n67856 100000\n65547 98320\n68916 100000\n46070 69063\n22193 33314\n30919 46355\n37340 55984\n19195 28787\n76924 100000\n31109 46634\n11456 17253\n59291 88949\n43867 65727\n85333 100000\n41143 61667\n52692 79040\n64395 96609\n41405 62051\n60751 91136\n15451 23188\n67451 100000\n24565 36827\n46019 68983\n59292 88951\n10652 16043\n83728 100000\n25551 38303\n64110 96187\n94435 100000\n63126 94730\n54385 81580\n41803 62654\n49225 73818\n30774 46133\n95177 100000\n93046 100000\n43557 65264\n22545 33832\n61847 92787\n17557 26341\n69399 100000\n50877 76328\n53668 80516\n6457 9749\n43758 65565\n53600 80413\n52565 78853\n10793 16256\n2870 4310\n35683 53510\n32643 48957\n41273 61855\n64001 96027\n64553 96844\n34023 51022\n85840 100000\n67489 100000\n9006 13551\n86041 100000\n94895 100000\n31501 47230\n13220 19871\n88584 100000\n95668 100000\n99705 100000\n34917 52370\n16699 25057\n27674 41485\n64957 97444\n89533 100000\n32211 48301\n46334 69473\n58427 87651\n52415 78631\n30343 45469\n32578 48860\n16889 25331\n7245 10923\n72470 100000\n12291 18501\n31673 47486\n59016 88525\n65680 98521\n79882 100000\n33034 49553\n25802 38688\n42677 63955\n92858 100000\n45720 68531\n29793 44673\n58239 87375\n75465 100000\n43216 64757\n12351 18590\n91161 100000\n60466 90717\n45934 68852\n4692 7067\n20673 31001\n12601 18962\n43674 65441\n16385 24593\n1989 2978\n4819 7259\n47345 70999\n77551 100000\n97645 100000\n83465 100000\n3422 5145\n14539 21823\n70848 100000\n36618 54920\n66319 99479\n95862 100000\n50685 76025\n16 23\n51800 77705\n46987 70467\n1885 2823\n85031 100000\n78694 100000\n4637 6978\n16551 24835\n7646 11522\n31211 46787\n31203 46773\n34208 51298\n2449 3677\n54316 81483\n34793 52191\n72514 100000\n35245 52861\n33091 49643\n39874 59753\n3402 5113\n18755 28118\n63691 95552\n56133 84181\n975 1464\n20981 31452\n13642 20481\n27488 41201\n81124 100000\n85682 100000\n30100 45123\n62267 93413\n35944 53903\n50518 75771\n59176 88766\n66360 99543\n21609 32403\n56983 85479\n85344 100000\n54660 81971\n6326 9559\n97089 100000\n19411 29103\n53790 80699\n23178 34773\n30005 44986\n97425 100000\n64594 96904\n16278 24427\n57901 86859\n97403 100000\n12 17\n17333 26006\n79276 100000\n14772 22164\n42120 63134\n55311 82947\n64906 97368\n55267 82878\n30526 45755\n77365 100000\n20874 31292\n37778 56622\n2698 4053\n56364 84533\n34907 52356\n77349 100000\n85093 100000\n52776 79160\n21410 32103\n75188 100000\n80637 100000\n45855 68729\n83897 100000\n70443 100000\n81817 100000\n82771 100000\n83398 100000\n87729 100000\n27418 41092\n12957 19480\n28730 43068\n96702 100000\n5269 7951\n98138 100000\n24017 36020\n30156 45203\n94090 100000\n94194 100000\n95432 100000\n16364 24563\n68843 100000\n60999 91517\n9544 14356\n64752 97139\n19868 29791\n35507 53248\n96813 100000\n63301 94977\n27125 40659\n93075 100000\n77429 100000\n67224 100000\n46947 70405\n83478 100000\n52533 78804\n56503 84742\n11413 17183\n38472 57654\n76994 100000\n61379 92090\n97830 100000\n21423 32125\n2511 3770\n2689 4043\n95419 100000\n87026 100000\n71813 100000\n49625 74438\n91633 100000\n3525 5294\n41406 62053\n75179 100000\n13507 20284\n49151 73706\n64755 97145\n70596 100000\n82630 100000\n57086 85636\n30654 45949\n16848 25265\n49048 73557\n6450 9740\n48835 73237\n61422 92155\n68011 100000\n79269 100000\n61779 92685\n82917 100000\n13310 20000\n12943 19455\n77173 100000\n40661 60927\n80575 100000\n51187 76802\n55575 83345\n90591 100000\n73866 100000\n84285 100000\n39195 58720\n55626 83422\n94772 100000\n41402 62047\n38918 58311\n92801 100000\n47873 71797\n26934 40373\n34663 51994\n63347 95042\n88059 100000\n4040 6064\n64127 96212\n83105 100000\n79153 100000\n23261 34901\n60448 90692\n70751 100000\n25506 38236\n86365 100000\n85332 100000\n54243 81371\n86768 100000\n3767 5649\n80895 100000\n3205 4814\n37536 56267\n69741 100000\n27968 41934\n40126 60130\n53200 79809\n43176 64693\n20503 30743\n60790 91190\n53821 80739\n41027 61496\n63897 95870\n31354 47004\n53180 79777\n30395 45544\n69687 100000\n95793 100000\n91825 100000\n35792 53671\n12745 19180\n21157 31720\n22123 33205\n96859 100000\n5947 8981\n4541 6828\n96380 100000\n42302 63406\n98691 100000\n16064 24105\n48684 73018\n49878 74808\n3276 4924\n50345 75504\n64042 96085\n67314 100000\n18885 28309\n25245 37846\n64853 97286\n79877 100000\n33820 50722\n34157 51222\n53153 79736\n8229 12384\n8780 13214\n87552 100000\n2579 3878\n51467 77210\n15709 23577\n11418 17190\n57785 86690\n6302 9522\n84807 100000\n81021 100000\n17038 25563\n22436 33679\n2051 3072\n26872 40279\n14572 21869\n23990 35983\n84067 100000\n69727 100000\n53213 79830\n58769 88158\n58619 87935\n20537 30798\n82292 100000\n31268 46874\n44669 66944\n62323 93496\n28745 43089\n56829 85243\n69142 100000\n1460 2197\n31131 46666\n37475 56177\n77184 100000\n1509 2273\n96656 100000\n93506 100000\n54105 81170\n4047 6074\n95963 100000\n63695 95557\n8347 12558\n28371 42528\n44571 66803\n35573 53345\n37463 56159\n74211 100000\n58848 88272\n14335 21521\n30352 45484\n45063 67524\n37229 55814\n67716 100000\n48477 72696\n89712 100000\n39452 59100\n23981 35970\n40483 60659\n12629 19004\n32663 48990\n98953 100000\n68868 100000\n51470 77214\n73207 100000\n93050 100000\n43729 65520\n20901 31331\n68523 100000\n39179 58695\n39021 58461\n99364 100000\n79791 100000\n71169 100000\n61561 92366\n892 1335\n48196 72275\n38091 57080\n98565 100000\n5512 8314\n99019 100000\n2759 4146\n35034 52542\n49960 74929\n44344 66445\n52236 78364\n57971 86970\n77306 100000\n38951 58359\n14207 21322\n32550 48825\n86043 100000\n93359 100000\n42678 63956\n48338 72485\n2376 3571\n6681 10094\n69680 100000\n96855 100000\n7316 11026\n55615 83405\n42033 63004\n29948 44901\n6454 9746\n19859 29776\n25658 38471\n37049 55552\n61768 92670\n73313 100000\n17582 26381\n36729 55084\n77649 100000\n33200 49804\n82631 100000\n43692 65466\n52813 79217\n93807 100000\n91691 100000\n12280 18488\n49621 74432\n24014 36016\n77704 100000\n86195 100000\n44483 66662\n66650 99981\n27004 40473\n81079 100000\n93199 100000\n41244 61812\n40590 60823\n23240 34871\n19313 28956\n57430 86158\n41598 62350\n98094 100000\n89765 100000\n75043 100000\n25595 38374\n90764 100000\n28034 42041\n62812 94236\n83918 100000\n28383 42547\n43481 65147\n74928 100000\n77888 100000\n41638 62413\n85315 100000\n26055 39075\n39348 58947\n55806 83694\n24482 36706\n18859 28269\n10246 15436\n98731 100000\n27629 41421\n20768 31141\n81095 100000\n76428 100000\n48943 73400\n12527 18851\n92253 100000\n97489 100000\n80584 100000\n73627 100000\n96302 100000\n3712 5573\n11966 18008\n9610 14454\n22916 34387\n33825 50730\n24275 36400\n97022 100000\n33733 50592\n161 242\n49336 73989\n65684 98528\n53395 80088\n25579 38344\n37889 56784\n58132 87215\n66754 100000\n3118 4686\n46837 70238\n61004 91525\n6592 9958\n73119 100000\n44114 66103\n93771 100000\n14712 22076\n57252 85888\n8445 12716\n84014 100000\n81618 100000\n42079 63072\n66417 99625\n70606 100000\n71447 100000\n92147 100000\n30961 46417\n7511 11319\n4668 7029\n96920 100000\n225 332\n70367 100000\n91713 100000\n51862 77795\n72271 100000\n66854 100000\n50144 75206\n35995 53978\n11829 17794\n84742 100000\n693 1032\n24533 36779\n58887 88327\n17032 25552\n11568 17415\n17277 25919\n46651 69948\n87848 100000\n49597 74395\n19501 29237\n679 1013\n16814 25216\n84701 100000\n44705 66996\n85733 100000\n55328 82972\n26480 39704\n70918 100000\n35498 53235\n68099 100000\n88263 100000\n20719 31068\n33074 49616\n90997 100000\n25350 38001\n27086 40598\n8455 12728\n40524 60721\n51998 78003\n9584 14416\n20763 31133\n32687 49022\n91245 100000\n15233 22865\n14785 22182\n81455 100000\n92344 100000\n64672 97023\n13801 20722\n68187 100000\n43033 64477\n75958 100000\n78320 100000\n98467 100000\n33777 50657\n34829 52241\n52260 78400\n75050 100000\n22682 34031\n54828 82218\n59846 89796\n1002 1504\n87165 100000\n82125 100000\n46938 70390\n47546 71308\n71935 100000\n3108 4670\n45431 68078\n5741 8656\n18875 28293\n13329 20031\n76301 100000\n43755 65560\n54744 82096\n56814 85219\n88750 100000\n38025 56985\n33927 50873\n16514 24783\n11008 16581\n17473 26216\n24618 36905\n18103 27137\n53696 80559\n71589 100000\n35230 52836\n75116 100000\n22740 34118\n4346 6535\n73645 100000\n6084 9188\n48396 72572\n98842 100000\n74905 100000\n95636 100000\n7831 11804\n49951 74916\n50390 75576\n32415 48612\n91428 100000\n86725 100000\n82529 100000\n20280 30414\n63638 95474\n84432 100000\n43049 64502\n73926 100000\n86733 100000\n93188 100000\n83188 100000\n32622 48928\n94644 100000\n2789 4192\n70822 100000\n68628 100000\n88800 100000\n7742 11675\n53537 80311\n45267 67830\n97607 100000\n46269 69373\n13930 20914\n96513 100000\n62863 94316\n10400 15665\n90396 100000\n1403 2110\n38189 57226\n74940 100000\n67429 100000\n98206 100000\n35964 53933\n82643 100000\n4234 6364\n41673 62462\n24122 36175\n40759 61078\n8563 12899\n77725 100000\n511 764\n68853 100000\n21858 32799\n80322 100000\n10122 15254\n91511 100000\n23109 34672\n29346 43997\n44923 67311\n4999 7537\n7703 11611\n66814 100000\n36107 54145\n58786 88183\n5533 8346\n37758 56592\n52808 79211\n70024 100000\n13793 20707\n36265 54381\n95180 100000\n62978 94500\n82380 100000\n60541 90834\n43022 64460\n38426 57588\n88997 100000\n28232 42324\n86438 100000\n19888 29824\n92407 100000\n38048 57017\n50416 75616\n72554 100000\n15582 23389\n97980 100000\n57926 86900\n20639 30955\n3670 5513\n14478 21729\n91296 100000\n49133 73677\n67332 100000\n28464 42670\n21020 31510\n59530 89313\n36167 54235\n92744 100000\n89019 100000\n36418 54616\n28380 42541\n4697 7075\n6844 10334\n49087 73606\n88521 100000\n81311 100000\n58673 88017\n38736 58035\n77205 100000\n46610 69890\n50514 75765\n1209 1819\n65121 97691\n21076 31595\n56291 84426\n93318 100000\n63904 95880\n8924 13426\n97248 100000\n30410 45568\n13058 19638\n39427 59065\n11122 16748\n68034 100000\n94715 100000\n70363 100000\n4147 6227\n14654 21995\n64636 96967\n52753 79127\n46246 69335\n614 921\n87160 100000\n82520 100000\n13826 20759\n17572 26366\n26473 39692\n17328 26000\n95097 100000\n21730 32596\n28662 42965\n25780 38658\n48458 72668\n72649 100000\n70882 100000\n95410 100000\n62832 94271\n23835 35746\n65601 98402\n61683 92540\n22644 33975\n64177 96281\n24530 36774\n59652 89500\n92732 100000\n91322 100000\n21940 32925\n11113 16736\n18575 27831\n19361 29026\n61769 92671\n41345 61958\n28725 43062\n12185 18344\n61761 92660\n94678 100000\n87592 100000\n81881 100000\n39428 59066\n36480 54709\n12883 19374\n73840 100000\n8727 13135\n79863 100000\n73215 100000\n69639 100000\n67625 100000\n95678 100000\n84915 100000\n36151 54212\n13257 19924\n47634 71442\n44058 66016\n93621 100000\n39301 58876\n37054 55559\n24600 36876\n68093 100000\n33932 50881\n8077 12166\n6609 9984\n45534 68234\n37079 55597\n18061 27077\n65281 97921\n75234 100000\n19973 29954\n19293 28928\n98299 100000\n95934 100000\n3835 5754\n24795 37175\n39555 59257\n2009 3007\n65426 98138\n10422 15696\n33447 50170\n92565 100000\n47198 70777\n89232 100000\n92388 100000\n51792 77693\n30392 45540\n67473 100000\n51021 76553\n2211 3314\n32684 49019\n36538 54802\n42819 64153\n71723 100000\n73698 100000\n55709 83546\n12511 18830\n31258 46860\n8128 12238\n15589 23398\n48691 73028\n80948 100000\n12649 19036\n94639 100000\n49141 73689\n182 271\n21427 32130\n38502 57703\n55621 83413\n32082 48111\n15006 22514\n47048 70555\n28170 42231\n34790 52186\n28927 43368\n46186 69236\n32300 48440\n75724 100000\n20640 30957\n58787 88185\n79975 100000\n65152 97737\n74919 100000\n17728 26592\n46788 70165\n80289 100000\n30038 45034\n17448 26176\n21248 31854\n9492 14280\n80340 100000\n16552 24836\n59238 88868\n6551 9895\n38191 57228\n9967 15015\n72772 100000\n40030 59984\n31849 47755\n42611 63861\n60956 91454\n78554 100000\n29535 44286\n81922 100000\n93999 100000\n66186 99276\n99274 100000\n36937 55392\n64664 97009\n95394 100000\n87712 100000\n17106 25662\n69822 100000\n65783 98666\n44421 66568\n87206 100000\n46767 70130\n50739 76115\n90013 100000\n10975 16529\n89269 100000\n92571 100000\n68173 100000\n19266 28888\n41962 62897\n73946 100000\n57477 86231\n22890 34348\n28079 42101\n90230 100000\n70959 100000\n52448 78677\n57524 86303\n50827 76248\n36194 54273\n92134 100000\n83548 100000\n63405 95134\n90135 100000\n46646 69941\n31982 47956\n58492 87745\n24438 36641\n97802 100000\n30246 45330\n43963 65873\n87855 100000\n61557 92361\n33693 50533\n25370 38031\n52584 78881\n44193 66221\n13974 20974\n84193 100000\n99431 100000\n50853 76289\n63915 95897\n8699 13095\n43270 64840\n7908 11922\n92806 100000\n46339 69482\n99886 100000\n15999 24004\n38593 57838\n29444 44148\n86985 100000\n98938 100000\n99745 100000\n58784 88179\n27887 41809\n94234 100000\n2675 4020\n54217 81331\n87416 100000\n35431 53135\n36370 54542\n11000 16567\n17086 25635\n76893 100000\n47727 71580\n77469 100000\n18050 27063\n77393 100000\n22712 34076\n75512 100000\n88231 100000\n40515 60705\n62301 93462\n79735 100000\n68580 100000\n9983 15038\n65353 98029\n77746 100000\n92145 100000\n70041 100000\n58448 87683\n65660 98490\n85205 100000\n12929 19434\n27786 41649\n45303 67887\n83974 100000\n17115 25677\n10098 15216\n59548 89339\n90158 100000\n89006 100000\n29603 44382\n5283 7974\n72205 100000\n91986 100000\n30983 46447\n23068 34613\n21740 32610\n37786 56632\n18872 28289\n88442 100000\n52248 78381\n18843 28246\n4948 7461\n60415 90639\n77436 100000\n59870 89827\n69305 100000\n36209 54292\n48168 72235\n54126 81198\n85777 100000\n18909 28344\n77732 100000\n35099 52634\n48996 73478\n27672 41482\n4133 6206\n5840 8807\n48343 72493\n11721 17637\n42507 63711\n34902 52347\n70347 100000\n21434 32140\n91469 100000\n30434 45605\n77588 100000\n22556 33850\n87709 100000\n35060 52581\n72046 100000\n55632 83431\n27959 41917\n62162 93259\n31843 47746\n151 229\n56111 84148\n61688 92548\n75755 100000\n72988 100000\n98241 100000\n78270 100000\n2265 3401\n95267 100000\n30798 46172\n2542 3822\n14558 21849\n88533 100000\n39858 59727\n18970 28443\n21937 32921\n71807 100000\n11018 16595\n79268 100000\n67699 100000\n16188 24289\n50581 75862\n26031 39036\n78244 100000\n43301 64889\n75880 100000\n10859 16357\n71835 100000\n94627 100000\n25577 38342\n68143 100000\n46865 70281\n42801 64129\n80919 100000\n96065 100000\n55370 83038\n14530 21809\n43944 65843\n59098 88654\n83809 100000\n90914 100000\n92082 100000\n10830 16311\n8072 12159\n41291 61880\n35938 53892\n76302 100000\n41324 61926\n53783 80688\n21643 32461\n28713 43044\n7956 11991\n19649 29460\n67892 100000\n316 461\n28054 42068\n5904 8913\n94583 100000\n19633 29438\n18655 27963\n59988 90007\n41090 61592\n71894 100000\n49350 74011\n74729 100000\n71880 100000\n96960 100000\n38236 57299\n53071 79608\n21894 32853\n16204 24316\n6803 10275\n50145 75208\n71534 100000\n34729 52094\n90025 100000\n4685 7056\n37858 56740\n13991 21001\n9933 14959\n10354 15593\n67602 100000\n7845 11826\n80141 100000\n40271 60347\n78252 100000\n66526 99792\n967 1451\n49919 74865\n15956 23938\n11306 17021\n95460 100000\n74164 100000\n56632 84948\n26143 39212\n4441 6686\n11942 17970\n56328 84484\n16635 24959\n93914 100000\n19337 28993\n51139 76729\n68515 100000\n74865 100000\n76089 100000\n21039 31541\n90545 100000\n79738 100000\n86544 100000\n8258 12426\n92474 100000\n5419 8179\n40543 60750\n96672 100000\n80608 100000\n8032 12097\n25457 38164\n51595 77404\n28888 43310\n72069 100000\n99987 100000\n93916 100000\n33107 49668\n39681 59450\n17140 25716\n73075 100000\n85726 100000\n26546 39798\n60479 90737\n7850 11833\n91676 100000\n49606 74408\n87626 100000\n24647 36951\n13155 19776\n14151 21236\n91101 100000\n55627 83424\n39720 59511\n36166 54234\n2363 3553\n81486 100000\n34769 52154\n33810 50706\n920 1380\n60558 90860\n40990 61438\n58114 87189\n90952 100000\n57742 86627\n43031 64475\n28323 42459\n64457 96703\n22443 33692\n6742 10183\n72580 100000\n46202 69260\n49726 74585\n44179 66199\n5496 8291\n50172 75248\n99385 100000\n17561 26348\n21283 31905\n41491 62187\n16410 24630\n40615 60859\n97288 100000\n71494 100000\n3457 5201\n61301 91969\n30818 46205\n24105 36149\n35896 53827\n35368 53040\n69886 100000\n25578 38343\n4508 6780\n90823 100000\n95181 100000\n42337 63459\n88797 100000\n47631 71438\n85713 100000\n1246 1875\n43736 65532\n63804 95729\n92494 100000\n20245 30363\n17712 26570\n47120 70658\n98439 100000\n59558 89357\n28535 42779\n21761 32646\n97484 100000\n75632 100000\n8588 12935\n52964 79440\n7431 11200\n70234 100000\n34464 51686\n15055 22587\n39494 59163\n43187 64711\n81509 100000\n86542 100000\n68741 100000\n91554 100000\n96930 100000\n35952 53916\n34707 52064\n74981 100000\n6159 9300\n298 435\n60215 90351\n28076 42096\n14872 22311\n91302 100000\n50049 75063\n2715 4082\n72603 100000\n53969 80962\n72086 100000\n94057 100000\n20089 30132\n93634 100000\n79071 100000\n91812 100000\n83660 100000\n38423 57584\n72402 100000\n43124 64617\n49503 74244\n3646 5472\n34318 51463\n35258 52878\n18957 28419\n72338 100000\n67058 100000\n10512 15828\n72869 100000\n72317 100000\n80906 100000\n77080 100000\n52790 79182\n8540 12865\n11573 17424\n54663 81977\n82353 100000\n85927 100000\n99367 100000\n7983 12030\n6307 9530\n16498 24760\n81228 100000\n15568 23368\n52229 78352\n96442 100000\n13664 20516\n35061 52582\n15271 22921\n41839 62707\n76668 100000\n89757 100000\n42111 63124\n4168 6259\n83896 100000\n28655 42955\n65265 97897\n53130 79702\n57421 86146\n86553 100000\n6050 9139\n39379 58993\n44205 66237\n83538 100000\n53119 79687\n54656 81964\n25588 38361\n58447 87682\n65687 98533\n91704 100000\n47373 71040\n55975 83949\n61863 92814\n77882 100000\n5910 8922\n7984 12032\n42902 64277\n53046 79568\n29756 44619\n67118 100000\n44459 66627\n14014 21035\n97203 100000\n84210 100000\n68880 100000\n33503 50252\n94387 100000\n59165 88753\n71806 100000\n64432 96667\n36604 54898\n26154 39227\n29375 44038\n7926 11946\n9689 14571\n58778 88170\n6502 9821\n94948 100000\n85869 100000\n42687 63969\n36719 55069\n20052 30075\n68482 100000\n66545 99820\n62856 94306\n19544 29304\n79694 100000\n69368 100000\n69230 100000\n96754 100000\n58853 88280\n83999 100000\n44722 67018\n13663 20515\n93993 100000\n16765 25147\n17513 26274\n24553 36808\n93115 100000\n24336 36492\n85043 100000\n8141 12256\n15337 23020\n27804 41677\n8149 12270\n61030 91562\n77954 100000\n52044 78070\n7143 10773\n37819 56679\n18012 27006\n39392 59014\n48692 73030\n5830 8792\n70251 100000\n83012 100000\n73456 100000\n93983 100000\n17264 25899\n39819 59663\n55673 83492\n29240 43838\n20083 30121\n76908 100000\n63512 95292\n5743 8658\n34742 52113\n63788 95702\n74270 100000\n70560 100000\n34170 51244\n53111 79675\n59001 88504\n54503 81747\n74917 100000\n72612 100000\n98619 100000\n76628 100000\n1149 1735\n94295 100000\n40441 60600\n8596 12946\n75136 100000\n10115 15242\n75956 100000\n86731 100000\n94739 100000\n90130 100000\n76814 100000\n30545 45785\n66656 99990\n18736 28091\n23818 35723\n49683 74526\n23999 35995\n59270 88918\n91886 100000\n40678 60952\n50155 75219\n43670 65435\n35681 53507\n75597 100000\n40186 60222\n16360 24559\n46040 69015\n25824 38725\n59079 88622\n35951 53914\n25640 38445\n93803 100000\n97077 100000\n46288 69404\n92044 100000\n35301 52939\n97975 100000\n56296 84434\n39654 59406\n99916 100000\n86929 100000\n23347 35032\n23499 35256\n45164 67680\n28361 42515\n74227 100000\n34873 52304\n4904 7392\n61191 91806\n39953 59871\n19596 29383\n95650 100000\n3930 5904\n15663 23510\n63197 94837\n66856 100000\n72195 100000\n70184 100000\n55870 83791\n29243 43841\n92380 100000\n64582 96884\n27025 40506\n54349 81533\n62867 94322\n63124 94726\n75401 100000\n1497 2256\n27375 41027\n88439 100000\n98410 100000\n95852 100000\n96411 100000\n66703 100000\n11519 17342\n66667 100000\n6661 10062\n55715 83555\n94989 100000\n9787 14729\n22665 34007\n25639 38444\n85218 100000\n19215 28815\n64045 96089\n6961 10504\n53417 80124\n84054 100000\n74831 100000\n1185 1787\n85573 100000\n9910 14920\n96668 100000\n46531 69773\n16587 24888\n71060 100000\n93638 100000\n36509 54754\n26292 39426\n97246 100000\n51063 76617\n3692 5542\n28793 43159\n90714 100000\n63314 94997\n80728 100000\n62765 94161\n27851 41754\n86150 100000\n7727 11650\n45449 68104\n82744 100000\n87127 100000\n98950 100000\n91050 100000\n8301 12488\n74324 100000\n85491 100000\n63846 95791\n26300 39438\n29817 44707\n82512 100000\n4099 6155\n14892 22342\n28203 42279\n32561 48839\n64448 96691\n27071 40577\n61405 92131\n83791 100000\n32003 47988\n76909 100000\n51428 77156\n242 355\n86822 100000\n92060 100000\n95049 100000\n99814 100000\n31868 47783\n33214 49822\n78293 100000\n33088 49638\n15452 23190\n69865 100000\n7759 11696\n88168 100000\n48403 72583\n5181 7817\n50493 75733\n49129 73669\n14323 21500\n13182 19817\n25624 38421\n88160 100000\n39062 58520\n84162 100000\n16654 24987\n14404 21621\n84246 100000\n1883 2820\n12795 19254\n53782 80686\n99361 100000\n98753 100000\n10944 16483\n70707 100000\n25675 38495\n96227 100000\n44932 67325\n5113 7713\n11439 17224\n58457 87693\n8978 13506\n95978 100000\n10600 15964\n80323 100000\n5927 8948\n85311 100000\n15515 23285\n37029 55520\n50410 75607\n33358 50030\n66707 100000\n82969 100000\n28720 43054\n51958 77937\n89542 100000\n65316 97969\n32741 49106\n29060 43567\n55534 83287\n93350 100000\n11185 16842\n68281 100000\n53146 79726\n52491 78736\n35380 53061\n50167 75240\n87892 100000\n74725 100000\n39485 59150\n9758 14681\n79496 100000\n49452 74165\n73224 100000\n88250 100000\n90884 100000\n24662 36974\n35882 53808\n64495 96755\n99377 100000\n18293 27411\n952 1428\n91288 100000\n78400 100000\n73632 100000\n62077 93132\n33954 50916\n35278 52907\n32734 49096\n31496 47221\n94784 100000\n47975 71940\n22993 34502\n5662 8539\n68107 100000\n72012 100000\n57950 86938\n6314 9540\n93344 100000\n17332 26005\n51826 77744\n35799 53682\n2041 3056\n6038 9122\n73916 100000\n3803 5706\n49430 74133\n21857 32797\n32111 48153\n70255 100000\n82085 100000\n7515 11325\n97345 100000\n52255 78392\n67309 100000\n91715 100000\n90282 100000\n68747 100000\n75932 100000\n37432 56116\n38168 57196\n58629 87950\n59218 88836\n62164 93261\n85481 100000\n11053 16647\n63838 95778\n17767 26652\n51171 76776\n85683 100000\n30690 46005\n4392 6608\n9757 14680\n998 1499\n66059 99086\n30436 45609\n20304 30448\n87505 100000\n85257 100000\n71849 100000\n686 1023\n61430 92167\n86337 100000\n62799 94213\n70814 100000\n56581 84867\n90383 100000\n17087 25636\n18298 27419\n67042 100000\n40381 60512\n96998 100000\n96984 100000\n38103 57097\n59014 88521\n91533 100000\n18158 27215\n51094 76660\n19182 28766\n27499 41219\n39404 59031\n76222 100000\n50271 75396\n27739 41581\n94540 100000\n88875 100000\n16219 24338\n62207 93323\n69411 100000\n94388 100000\n81826 100000\n49222 73813\n14099 21160\n11297 17011\n20049 30070\n6817 10293\n41120 61638\n54484 81719\n44372 66487\n49639 74459\n53089 79640\n90795 100000\n59493 89255\n27669 41478\n77359 100000\n86777 100000\n47960 71922\n37906 56812\n38881 58254\n23833 35743\n14613 21932\n99943 100000\n74894 100000\n92970 100000\n98919 100000\n76247 100000\n41164 61696\n10351 15587\n84969 100000\n83325 100000\n59134 88707\n52638 78961\n37917 56827\n57987 86995\n68568 100000\n22371 33576\n82223 100000\n93542 100000\n51554 77339\n70470 100000\n57820 86737\n19014 28509\n85920 100000\n8109 12213\n3309 4976\n65069 97608\n43207 64742\n41038 61515\n43515 65199\n22623 33944\n51254 76900\n27829 41720\n94422 100000\n88819 100000\n21542 32299\n25390 38063\n31193 46758\n72828 100000\n34925 52382\n47483 71210\n86981 100000\n66728 100000\n69365 100000\n85951 100000\n90776 100000\n32220 48314\n56691 85033\n81607 100000\n98182 100000\n13158 19782\n45752 68579\n85204 100000\n9041 13606\n28638 42927\n3818 5729\n50009 75005\n3933 5907\n27027 40509\n28185 42251\n74052 100000\n84033 100000\n77847 100000\n28661 42964\n31532 47272\n44894 67271\n55807 83695\n53513 80273\n80569 100000\n13108 19711\n97752 100000\n74346 100000\n6745 10187\n25216 37804\n46323 69454\n34850 52271\n1118 1683\n2529 3800\n2597 3902\n19614 29412\n18910 28345\n22669 34013\n30716 46043\n20196 30294\n53563 80354\n97476 100000\n85790 100000\n3319 4990\n78727 100000\n39486 59151\n20488 30720\n45439 68089\n68083 100000\n9669 14545\n22960 34454\n76181 100000\n56890 85337\n45048 67498\n56016 84007\n490 733\n80210 100000\n37749 56577\n61621 92447\n13054 19632\n33724 50579\n71029 100000\n68967 100000\n53 81\n42520 63731\n98623 100000\n7896 11902\n76678 100000\n80686 100000\n13126 19736\n69885 100000\n89239 100000\n60273 90433\n16211 24326\n81649 100000\n18666 27980\n37932 56846\n33118 49685\n71093 100000\n12107 18220\n47879 71807\n62284 93436\n35700 53531\n91378 100000\n2253 3381\n63532 95320\n60030 90068\n39796 59630\n79734 100000\n81289 100000\n11101 16718\n73122 100000\n75862 100000\n52739 79108\n54121 81192\n24872 37288\n29527 44274\n86287 100000\n50819 76235\n19552 29317\n54822 82206\n52472 78709\n7434 11206\n19898 29839\n8325 12525\n5119 7722\n93093 100000\n61152 91749\n47751 71613\n33553 50322\n63013 94552\n38208 57258\n98111 100000\n68436 100000\n28739 43080\n15051 22581\n50431 75638\n20802 31185\n88364 100000\n49445 74155\n85346 100000\n91912 100000\n46112 69125\n49582 74372\n13687 20548\n98561 100000\n63759 95659\n87541 100000\n44295 66375\n45242 67793\n24031 36041\n21569 32338\n18694 28026\n47001 70490\n10022 15098\n63535 95326\n22950 34437\n75113 100000\n38461 57638\n48946 73404\n70749 100000\n3247 4878\n35 50\n2184 3273\n21645 32464\n48603 72896\n37629 56403\n76572 100000\n19768 29642\n53224 79845\n99971 100000\n37085 55604\n74248 100000\n20378 30554\n49024 73521\n43426 65069\n95414 100000\n51047 76592\n49250 73856\n19915 29865\n87087 100000\n61017 91544\n46728 70070\n44703 66994\n47726 71579\n20128 30188\n13266 19938\n79816 100000\n67201 100000\n45485 68154\n11484 17290\n18059 27075\n53310 79966\n94494 100000\n35857 53770\n40868 61244\n44224 66261\n39198 58725\n74147 100000\n44080 66052\n51761 77647\n1380 2077\n30426 45591\n61043 91581\n54540 81797\n88009 100000\n69082 100000\n30626 45909\n89319 100000\n44350 66454\n2442 3665\n10936 16469\n25859 38776\n35116 52658\n62436 93668\n88880 100000\n69467 100000\n39254 58808\n61508 92284\n22750 34133\n49835 74740\n16135 24207\n3234 4859\n782 1174\n11973 18019\n85959 100000\n63484 95251\n94062 100000\n39581 59297\n36610 54906\n82351 100000\n13196 19837\n10251 15445\n92860 100000\n77980 100000\n22810 34226\n26257 39379\n87577 100000\n34348 51511\n63148 94765\n2628 3948\n18491 27712\n5391 8137\n35533 53285\n43457 65115\n22117 33194\n28510 42743\n8719 13124\n60613 90935\n93388 100000\n81932 100000\n8422 12682\n82466 100000\n20970 31434\n10863 16361\n89397 100000\n78950 100000\n48609 72906\n57243 85876\n67792 100000\n29786 44662\n13554 20356\n12573 18924\n83555 100000\n74518 100000\n59726 89614\n8827 13281\n52881 79320\n3290 4949\n3855 5784\n33015 49525\n60484 90745\n69732 100000\n85773 100000\n35718 53557\n82924 100000\n14930 22398\n61182 91793\n14988 22487\n40900 61299\n36607 54902\n74956 100000\n11401 17165\n77465 100000\n30397 45548\n36216 54302\n15625 23453\n21560 32325\n83673 100000\n20158 30235\n67085 100000\n34846 52265\n18630 27921\n9782 14722\n78967 100000\n22435 33677\n15232 22864\n17101 25657\n56518 84765\n20514 30761\n22741 34119\n71406 100000\n89323 100000\n22237 33385\n36490 54727\n82541 100000\n12045 18131\n49700 74553\n41455 62130\n81688 100000\n32721 49076\n18623 27909\n38829 58173\n81480 100000\n27834 41728\n27888 41810\n47219 70806\n24117 36168\n31092 46609\n38681 57958\n69900 100000\n27539 41281\n26013 39011\n51083 76645\n50512 75762\n40203 60244\n22395 33612\n97457 100000\n50960 76459\n92477 100000\n21425 32127\n9374 14098\n23225 34848\n65388 98082\n58507 87767\n68856 100000\n37862 56746\n64046 96091\n5556 8379\n88018 100000\n65141 97719\n21991 33002\n16737 25110\n97936 100000\n20325 30475\n94220 100000\n5572 8407\n56781 85170\n72138 100000\n66148 99222\n30862 46268\n63228 94874\n13461 20223\n54654 81961\n11635 17513\n78767 100000\n75125 100000\n32690 49027\n88704 100000\n12055 18147\n2266 3402\n10211 15384\n7351 11078\n4442 6688\n60589 90903\n17589 26389\n76733 100000\n45856 68730\n80369 100000\n84430 100000\n55091 82607\n71749 100000\n5025 7576\n38438 57606\n19477 29201\n29269 43884\n61645 92483\n99855 100000\n95058 100000\n52048 78077\n61938 92924\n31662 47468\n49765 74644\n95125 100000\n25714 38560\n19475 29198\n4709 7093\n47523 71269\n11028 16609\n30427 45593\n15372 23076\n37592 56350\n14923 22389\n5004 7544\n3259 4896\n14314 21487\n23859 35782\n42493 63690\n14677 22028\n11673 17567\n68896 100000\n67126 100000\n20321 30469\n13107 19710\n70547 100000\n34329 51479\n52506 78760\n54235 81359\n21759 32643\n31966 47929\n88655 100000\n88346 100000\n28004 41992\n19993 29988\n55276 82893\n21238 31839\n46998 70485\n75515 100000\n74153 100000\n49547 74318\n51912 77871\n90511 100000\n92875 100000\n16175 24271\n42674 63951\n61093 91658\n15741 23619\n77777 100000\n18555 27805\n91206 100000\n44100 66082\n79040 100000\n41512 62219\n53271 79912\n26115 39168\n87159 100000\n40409 60554\n20930 31374\n11266 16964\n89619 100000\n44904 67287\n2216 3322\n65852 98765\n48223 72317\n55719 83561\n6905 10424\n79746 100000\n9051 13620\n94659 100000\n45807 68655\n72677 100000\n50558 75829\n29304 43935\n43252 64810\n72846 100000\n13872 20829\n95477 100000\n8732 13142\n72122 100000\n11978 18024\n59306 88974\n60817 91230\n56616 84925\n89544 100000\n48300 72432\n48794 73178\n4704 7085\n74550 100000\n42324 63438\n28633 42921\n82348 100000\n20383 30563\n67972 100000\n21049 31559\n79441 100000\n76723 100000\n7554 11386\n61628 92457\n58140 87227\n19375 29046\n19670 29494\n97850 100000\n9711 14607\n29002 43480\n79011 100000\n42692 63976\n22192 33313\n20880 31301\n40143 60159\n37237 55827\n95854 100000\n65657 98486\n18627 27916\n75408 100000\n9868 14851\n56523 84774\n16959 25436\n39839 59696\n60164 90275\n84933 100000\n68968 100000\n17247 25874\n98589 100000\n55524 83271\n97851 100000\n83739 100000\n67360 100000\n87665 100000\n55787 83663\n18276 27388\n56046 84054\n80203 100000\n86393 100000\n64222 96348\n65609 98416\n12824 19294\n88639 100000\n38526 57739\n38290 57383\n9079 13662\n55175 82735\n7997 12048\n45925 68837\n9168 13793\n11407 17175\n95405 100000\n25022 37517\n36488 54723\n12256 18453\n33588 50375\n94153 100000\n1135 1712\n98807 100000\n82728 100000\n67258 100000\n52191 78297\n64131 96216\n29999 44979\n76906 100000\n3471 5220\n56978 85471\n19307 28948\n58187 87294\n82179 100000\n57436 86166\n56608 84913\n47414 71102\n65081 97626\n11272 16974\n81010 100000\n68534 100000\n656 979\n96879 100000\n7730 11655\n54376 81569\n40049 60014\n75791 100000\n43420 65059\n75127 100000\n56059 84073\n81062 100000\n64024 96057\n3610 5422\n81811 100000\n61635 92466\n39778 59603\n25821 38721\n89209 100000\n41105 61614\n71162 100000\n4017 6028\n43726 65516\n65176 97769\n35606 53396\n12389 18643\n7267 10956\n59895 89865\n60537 90827\n32667 48995\n95085 100000\n92631 100000\n23435 35157\n36657 54973\n1409 2122\n17387 26088\n7009 10572\n87076 100000\n68708 100000\n27772 41630\n51092 76658\n82244 100000\n29538 44291\n85930 100000\n59960 89965\n13972 20972\n14438 21670\n3896 5851\n31028 46515\n80936 100000\n30576 45835\n65035 97562\n94951 100000\n90065 100000\n6311 9536\n30175 45227\n52385 78580\n26569 39832\n46441 69638\n8914 13413\n28065 42081\n27225 40805\n75742 100000\n25407 38091\n39909 59798\n67418 100000\n96537 100000\n69466 100000\n28521 42758\n23431 35151\n30487 45698\n34789 52184\n35312 52953\n14617 21938\n36180 54254\n37394 56063\n69 106\n24211 36307\n5479 8267\n47615 71409\n48053 72061\n63080 94655\n4395 6614\n44889 67264\n54908 82337\n18512 27741\n40281 60363\n73542 100000\n4151 6234\n99215 100000\n35268 52892\n6627 10008\n33807 50702\n13241 19901\n70524 100000\n69544 100000\n55433 83134\n74162 100000\n66670 100000\n22516 33789\n25310 37941\n8762 13185\n1235 1858\n79205 100000\n19080 28613\n65026 97548\n21896 32856\n97535 100000\n69475 100000\n86669 100000\n40410 60555\n50588 75875\n36138 54193\n29285 43909\n75462 100000\n96135 100000\n1120 1686\n56198 84287\n52296 78450\n93096 100000\n99319 100000\n50956 76452\n68658 100000\n21955 32947\n73354 100000\n24204 36297\n60122 90211\n47449 71155\n73161 100000\n1783 2672\n29915 44850\n48374 72539\n17257 25890\n37358 56010\n69191 100000\n64424 96655\n1159 1750\n51875 77814\n95343 100000\n6373 9633\n77121 100000\n974 1463\n23932 35899\n77021 100000\n43417 65054\n89348 100000\n54460 81682\n94439 100000\n50052 75069\n58578 87873\n85863 100000\n63181 94813\n32432 48637\n37472 56173\n69983 100000\n86974 100000\n49857 74774\n29796 44677\n4815 7253\n90321 100000\n29929 44873\n80468 100000\n1445 2173\n7604 11460\n23282 34930\n58403 87613\n60047 90096\n3161 4751\n75021 100000\n33178 49771\n37218 55796\n80243 100000\n11556 17396\n21692 32540\n5271 7955\n8534 12855\n15033 22554\n22494 33758\n44626 66880\n55434 83136\n85621 100000\n38942 58344\n24706 37038\n94696 100000\n74247 100000\n6483 9792\n80493 100000\n21897 32858\n43687 65459\n25695 38529\n74927 100000\n66665 100000\n93451 100000\n41463 62142\n63400 95126\n22105 33176\n86676 100000\n96213 100000\n36636 54946\n31694 47518\n21778 32675\n52984 79472\n65090 97640\n42037 63010\n36812 55207\n7792 11745\n17859 26791\n72190 100000\n619 927\n33856 50776\n53450 80178\n80934 100000\n46170 69214\n74743 100000\n67307 100000\n79132 100000\n89092 100000\n57645 86480\n29519 44264\n54371 81563\n77269 100000\n70415 100000\n54101 81162\n7643 11518\n44861 67225\n19990 29982\n98958 100000\n503 751\n92658 100000\n18303 27428\n74408 100000\n42184 63230\n91476 100000\n16610 24921\n7623 11488\n50094 75128\n5702 8601\n95272 100000\n82540 100000\n70508 100000\n44486 66666\n10827 16307\n44020 65957\n60940 91429\n5864 8846\n76470 100000\n8283 12460\n88653 100000\n42707 63993\n29005 43484\n65039 97568\n98818 100000\n17313 25977\n96449 100000\n44741 67046\n28933 43377\n57254 85892\n51675 77526\n69771 100000\n53849 80784\n76647 100000\n2987 4489\n40949 61371\n60378 90583\n95202 100000\n75177 100000\n61458 92209\n52539 78811\n56190 84277\n74851 100000\n54835 82229\n72169 100000\n5097 7687\n82697 100000\n48709 73056\n64746 97132\n12547 18884\n5598 8445\n30549 45792\n17596 26399\n27741 41585\n2637 3963\n85514 100000\n43299 64886\n20112 30164\n99408 100000\n9491 14278\n1746 2620\n68635 100000\n58247 87387\n46645 69939\n9807 14761\n45791 68635\n52213 78328\n8781 13216\n65769 98647\n45150 67659\n11257 16951\n43763 65572\n62339 93522\n81078 100000\n78156 100000\n51581 77383\n44411 66552\n3145 4731\n15974 23966\n54765 82127\n47845 71756\n56782 85172\n84876 100000\n62060 93103\n29767 44635\n35635 53440\n8646 13019\n7775 11721\n19560 29328\n39223 58764\n2133 3199\n83305 100000\n15276 22927\n32984 49474\n13469 20234\n96953 100000\n69855 100000\n15567 23366\n50963 76463\n86575 100000\n5862 8842\n20362 30530\n95250 100000\n36842 55254\n78221 100000\n86324 100000\n58990 88487\n8218 12370\n68608 100000\n61662 92507\n79695 100000\n89443 100000\n69369 100000\n66258 99382\n94207 100000\n69921 100000\n77558 100000\n17353 26036\n16230 24355\n93719 100000\n57574 86374\n16876 25309\n39370 58978\n54632 81928\n64488 96744\n39907 59796\n97613 100000\n33197 49800\n4871 7343\n86407 100000\n90964 100000\n25299 37928\n48467 72681\n26581 39849\n7796 11753\n29833 44727\n11046 16638\n72575 100000\n86370 100000\n35056 52575\n46618 69900\n87687 100000\n49802 74692\n90807 100000\n62561 93852\n65634 98453\n58569 87862\n26665 39979\n452 671\n90571 100000\n51666 77511\n9421 14172\n83207 100000\n26132 39196\n52453 78685\n81971 100000\n5502 8299\n92659 100000\n4112 6174\n84638 100000\n44832 67176\n33577 50359\n26657 39967\n93624 100000\n62728 94108\n29355 44009\n83044 100000\n97421 100000\n97107 100000\n90226 100000\n95050 100000\n87448 100000\n49707 74562\n79897 100000\n92232 100000\n90333 100000\n50140 75200\n77557 100000\n68932 100000\n5473 8257\n22867 34310\n65126 97698\n24612 36894\n3334 5013\n15281 22935\n94432 100000\n8431 12693\n95196 100000\n82101 100000\n31399 47074\n5141 7753\n12043 18128\n5591 8435\n91736 100000\n74428 100000\n39380 58995\n95663 100000\n506 757\n6888 10401\n93599 100000\n64136 96222\n58167 87264\n47329 70977\n8812 13262\n68457 100000\n71704 100000\n73410 100000\n58100 87169\n76891 100000\n16518 24789\n95914 100000\n13854 20801\n87491 100000\n54904 82330\n92934 100000\n91273 100000\n41762 62597\n91007 100000\n57649 86486\n25101 37638\n83295 100000\n72482 100000\n25798 38683\n1813 2714\n2173 3257\n1843 2759\n20034 30045\n28129 42170\n30159 45206\n52003 78012\n4553 6849\n49955 74921\n26230 39337\n42155 63190\n49443 74151\n44540 66753\n11011 16584\n52246 78378\n71159 100000\n59528 89310\n10039 15126\n27287 40898\n20969 31433\n15769 23660\n72433 100000\n17758 26637\n36733 55090\n75657 100000\n76657 100000\n52427 78645\n61364 92068\n3716 5579\n11946 17977\n33146 49726\n84306 100000\n86662 100000\n41718 62531\n16598 24903\n81884 100000\n5393 8140\n56241 84349\n16405 24624\n55188 82751\n24379 36553\n86741 100000\n67424 100000\n41109 61620\n84385 100000\n81711 100000\n55888 83818\n6005 9073\n82721 100000\n29522 44268\n15236 22869\n40412 60559\n8062 12145\n43998 65925\n53823 80742\n54668 81984\n14421 21647\n46629 69918\n75174 100000\n95995 100000\n91210 100000\n55462 83180\n1574 2366\n2941 4425\n96486 100000\n50526 75783\n58866 88296\n42529 63742\n6153 9290\n64827 97245\n88419 100000\n84512 100000\n97265 100000\n85119 100000\n85244 100000\n78421 100000\n24957 37413\n68256 100000\n23524 35291\n28555 42807\n68766 100000\n14669 22015\n79208 100000\n53750 80638\n10309 15528\n58399 87607\n67513 100000\n5618 8472\n80633 100000\n41995 62950\n83737 100000\n71291 100000\n13343 20051\n26046 39061\n95647 100000\n3477 5228\n70376 100000\n43686 65458\n43545 65246\n9472 14251\n29567 44331\n67608 100000\n90353 100000\n27098 40619\n69773 100000\n12772 19219\n67000 100000\n89144 100000\n15478 23225\n28190 42259\n15202 22818\n70301 100000\n95205 100000\n80699 100000\n93646 100000\n18661 27972\n47260 70872\n24376 36548\n71174 100000\n72556 100000\n63617 95446\n78341 100000\n56379 84556\n28317 42450\n91521 100000\n34521 51777\n69373 100000\n33390 50081\n17062 25599\n50032 75039\n30806 46184\n13535 20325\n91405 100000\n21299 31928\n43061 64523\n27404 41070\n87203 100000\n71491 100000\n47745 71605\n67441 100000\n92270 100000\n9124 13724\n40582 60810\n5359 8088\n45076 67545\n66489 99734\n82042 100000\n94472 100000\n79113 100000\n44268 66333\n79820 100000\n67327 100000\n72057 100000\n86112 100000\n80518 100000\n21726 32590\n45758 68586\n4103 6161\n59882 89845\n129 193\n40654 60917\n91490 100000\n89068 100000\n83115 100000\n86708 100000\n12564 18908\n66089 99136\n9065 13640\n63621 95452\n38156 57177\n91037 100000\n5130 7738\n22604 33916\n70672 100000\n80683 100000\n16073 24120\n3857 5788\n67824 100000\n98035 100000\n77397 100000\n46013 68974\n30699 46018\n55400 83083\n41029 61500\n60740 91120\n76852 100000\n41019 61484\n49193 73768\n49554 74327\n99089 100000\n21777 32673\n36032 54033\n82 126\n83317 100000\n47534 71287\n53387 80075\n62711 94080\n64847 97276\n22286 33456\n83995 100000\n47515 71258\n25635 38438\n30466 45661\n43092 64566\n78378 100000\n11520 17343\n89800 100000\n69931 100000\n59022 88533\n35333 52984\n73922 100000\n24394 36576\n239 352\n78888 100000\n17055 25589\n70710 100000\n13810 20737\n99732 100000\n91997 100000\n48087 72114\n91332 100000\n35948 53909\n68090 100000\n95254 100000\n81434 100000\n76213 100000\n11717 17632\n73244 100000\n95371 100000\n34421 51623\n10482 15784\n36615 54914\n10916 16438\n27896 41822\n18837 28236\n71379 100000\n51014 76544\n64038 96079\n92669 100000\n42068 63056\n45399 68033\n75391 100000\n96443 100000\n46512 69743\n90630 100000\n40337 60446\n52140 78221\n38483 57669\n35487 53215\n63224 94868\n98392 100000\n75714 100000\n40226 60278\n55196 82763\n88761 100000\n18654 27962\n3507 5270\n30815 46199\n13903 20877\n21814 32732\n70126 100000\n17801 26702\n25991 38979\n90483 100000\n83612 100000\n95329 100000\n61910 92885\n98284 100000\n85133 100000\n99127 100000\n36867 55288\n11229 16910\n24570 36836\n29279 43899\n30877 46293\n59207 88817\n1439 2167\n63498 95271\n71931 100000\n26896 40315\n67790 100000\n64382 96590\n42035 63007\n78880 100000\n33816 50714\n71113 100000\n16354 24549\n69587 100000\n54673 81992\n42756 64062\n15727 23602\n68386 100000\n23890 35829\n6111 9227\n83742 100000\n22178 33291\n55521 83267\n78846 100000\n97138 100000\n21087 31613\n86899 100000\n40809 61157\n9786 14727\n80234 100000\n8860 13330\n5847 8817\n69098 100000\n88610 100000\n94998 100000\n90160 100000\n22954 34444\n69015 100000\n53719 80589\n41126 61645\n89863 100000\n97233 100000\n17965 26936\n55580 83354\n41350 61966\n32077 48104\n59011 88517\n19444 29151\n79680 100000\n76053 100000\n9708 14602\n75073 100000\n5885 8883\n71698 100000\n12419 18688\n81161 100000\n50756 76141\n26846 40239\n63950 95947\n56289 84423\n85130 100000\n79605 100000\n70469 100000\n67458 100000\n85483 100000\n23800 35700\n85327 100000\n83616 100000\n93589 100000\n1956 2927\n42698 63983\n29364 44023\n33409 50109\n57210 85824\n74667 100000\n68729 100000\n23924 35884\n283 415\n24305 36443\n23458 35190\n71980 100000\n83656 100000\n90156 100000\n5846 8816\n49987 74971\n2691 4045\n95484 100000\n87005 100000\n40844 61210\n65860 98777\n26725 40066\n84667 100000\n88120 100000\n41302 61893\n45824 68679\n16827 25235\n50247 75359\n6267 9464\n77562 100000\n30658 45955\n33243 49861\n65108 97669\n60425 90656\n2750 4131\n73997 100000\n75600 100000\n53381 80067\n52882 79322\n60236 90381\n31262 46865\n26424 39626\n77848 100000\n99775 100000\n90120 100000\n9276 13953\n64392 96605\n32851 49268\n31467 47178\n72919 100000\n65270 97905\n3085 4636\n45302 67886\n69747 100000\n17701 26554\n50198 75289\n10777 16231\n79672 100000\n38092 57082\n74727 100000\n29692 44521\n9125 13726\n33117 49683\n74425 100000\n87231 100000\n51754 77637\n83498 100000\n93368 100000\n45993 68943\n88030 100000\n55020 82498\n32551 48826\n83171 100000\n89613 100000\n96810 100000\n24699 37026\n15272 22922\n9701 14590\n9405 14148\n63871 95830\n71989 100000\n52642 78966\n46864 70280\n33903 50839\n69964 100000\n70536 100000\n40380 60511\n35281 52913\n98716 100000\n33875 50801\n77695 100000\n10080 15186\n53058 79587\n97376 100000\n61505 92280\n24822 37215\n85372 100000\n65727 98587\n5526 8335\n23023 34546\n58367 87561\n1194 1800\n26754 40106\n8790 13229\n32856 49278\n52302 78460\n54771 82133\n19757 29628\n5136 7746\n3775 5663\n22680 34028\n21483 32212\n91464 100000\n27496 41213\n12863 19343\n66329 99493\n88710 100000\n4811 7247\n19952 29920\n8245 12406\n41530 62247\n18367 27523\n30704 46023\n1485 2236\n54419 81626\n90663 100000\n58034 87067\n1352 2036\n65675 98513\n77425 100000\n27087 40599\n81438 100000\n81495 100000\n38594 57839\n45782 68623\n33336 49997\n57260 85900\n77084 100000\n88415 100000\n70458 100000\n64693 97058\n79249 100000\n31121 46652\n39853 59718\n40922 61331\n97943 100000\n82081 100000\n16047 24079\n99952 100000\n12420 18690\n36976 55450\n16182 24282\n46695 70016\n96012 100000\n62195 93305\n8027 12091\n47818 71716\n6320 9549\n41057 61544\n19448 29158\n12400 18659\n49178 73746\n83685 100000\n58809 88214\n12709 19129\n11342 17074\n31516 47250\n41701 62506\n45483 68151\n79503 100000\n55540 83297\n42671 63947\n29074 43588\n84203 100000\n35407 53097\n97411 100000\n21029 31524\n11203 16870\n12219 18394\n21353 32013\n80752 100000\n50859 76297\n67660 100000\n8003 12057\n24509 36744\n74484 100000\n22555 33849\n44333 66431\n90322 100000\n70903 100000\n72112 100000\n43620 65357\n26314 39462\n90146 100000\n23820 35725\n10088 15200\n81882 100000\n7112 10722\n33961 50926\n45419 68060\n66472 99709\n15521 23295\n12718 19144\n49080 73596\n43443 65092\n98848 100000\n49365 74035\n33832 50739\n89055 100000\n12941 19452\n79301 100000\n642 962\n96937 100000\n48559 72827\n36051 54059\n44299 66381\n99995 100000\n97344 100000\n3313 4982\n78233 100000\n5228 7885\n53145 79725\n57918 86887\n80462 100000\n13551 20352\n47623 71425\n77995 100000\n50800 76204\n86655 100000\n75835 100000\n27400 41064\n96955 100000\n45109 67593\n26374 39549\n54523 81775\n15479 23226\n58576 87870\n53014 79520\n21775 32669\n65197 97801\n94774 100000\n24713 37047\n55546 83305\n56741 85106\n4307 6476\n83759 100000\n16633 24956\n80761 100000\n96354 100000\n89670 100000\n81352 100000\n39562 59267\n75688 100000\n90067 100000\n99014 100000\n76619 100000\n97378 100000\n89514 100000\n74385 100000\n37941 56859\n16631 24953\n14413 21636\n49407 74098\n98501 100000\n32685 49020\n71334 100000\n32546 48818\n83068 100000\n36367 54538\n67479 100000\n68383 100000\n27937 41882\n45258 67818\n10832 16313\n82211 100000\n5809 8760\n39634 59374\n89295 100000\n72701 100000\n76355 100000\n31347 46992\n47472 71193\n4207 6319\n36368 54539\n79244 100000\n90205 100000\n52703 79057\n65854 98769\n35519 53266\n95020 100000\n40387 60520\n27285 40895\n19096 28636\n49101 73626\n29214 43798\n67666 100000\n64212 96332\n2948 4436\n55016 82492\n87957 100000\n77694 100000\n28420 42603\n90800 100000\n6863 10365\n42531 63745\n51001 76525\n1778 2665\n58646 87976\n55301 82933\n4268 6419\n45187 67715\n53788 80696\n61142 91735\n40488 60666\n58043 87081\n86274 100000\n37452 56143\n98281 100000\n76586 100000\n1595 2395\n79044 100000\n82913 100000\n37729 56545\n20121 30177\n94851 100000\n2853 4285\n45866 68743\n14885 22330\n65501 98251\n70140 100000\n76345 100000\n55268 82880\n40393 60531\n41009 61468\n57272 85921\n48409 72591\n93511 100000\n53424 80136\n3299 4961\n56745 85113\n28225 42314\n48312 72450\n35275 52902\n29684 44508\n91927 100000\n69280 100000\n87766 100000\n7557 11391\n29643 44443\n83986 100000\n97920 100000\n84510 100000\n62000 93016\n3666 5505\n9771 14704\n84349 100000\n88500 100000\n57976 86977\n99959 100000\n89001 100000\n82747 100000\n91866 100000\n38790 58116\n87245 100000\n65856 98772\n32863 49286\n15131 22704\n72088 100000\n17498 26252\n62575 93877\n19045 28560\n66609 99914\n93702 100000\n62661 94009\n39447 59092\n73906 100000\n63139 94748\n34278 51401\n29663 44474\n45329 67924\n57753 86643\n61883 92844\n50438 75648\n95446 100000\n79884 100000\n16890 25332\n94624 100000\n65584 98377\n40505 60690\n39042 58495\n67909 100000\n38734 58032\n22731 34102\n43663 65424\n63381 95096\n40209 60252\n97609 100000\n91907 100000\n71841 100000\n79271 100000\n95121 100000\n94874 100000\n27159 40711\n62560 93850\n76736 100000\n25291 37914\n61739 92628\n93063 100000\n52181 78279\n26401 39592\n81771 100000\n12611 18977\n64028 96064\n15484 23235\n15830 23748\n55006 82473\n5301 8001\n70711 100000\n4059 6089\n40765 61089\n4631 6969\n16059 24097\n97636 100000\n60256 90409\n49384 74063\n71466 100000\n60955 91452\n79667 100000\n70004 100000\n47243 70846\n3269 4913\n33221 49832\n8369 12595\n6459 9751\n20079 30115\n75637 100000\n42491 63688\n85412 100000\n90614 100000\n1258 1894\n13174 19803\n56759 85134\n29316 43952\n4424 6658\n60937 91424\n25892 38825\n16754 25132\n25136 37689\n29300 43930\n63831 95768\n90410 100000\n3950 5928\n90739 100000\n19404 29091\n42357 63490\n29797 44678\n65466 98200\n96663 100000\n83767 100000\n99548 100000\n75831 100000\n56334 84493\n49243 73845\n16999 25496\n95428 100000\n71936 100000\n13477 20244\n96838 100000\n84488 100000\n6525 9858\n76112 100000\n73846 100000\n69834 100000\n54758 82116\n4894 7378\n88656 100000\n47627 71433\n24974 37441\n65661 98491\n89091 100000\n9403 14145\n14583 21889\n60962 91464\n85188 100000\n77503 100000\n87017 100000\n31250 46848\n33393 50086\n27276 40882\n79364 100000\n85943 100000\n3772 5658\n13829 20764\n41789 62635\n9477 14258\n52770 79150\n87289 100000\n7322 11036\n74200 100000\n76194 100000\n682 1017\n91497 100000\n81911 100000\n84102 100000\n75827 100000\n98468 100000\n34806 52209\n57518 86293\n67396 100000\n7076 10670\n38220 57274\n19282 28911\n46608 69887\n88751 100000\n34406 51600\n91149 100000\n87783 100000\n88284 100000\n67877 100000\n33628 50434\n70538 100000\n43016 64450\n78234 100000\n92173 100000\n34311 51451\n20120 30176\n36875 55300\n72890 100000\n41129 61648\n5687 8576\n14720 22087\n79472 100000\n37973 56908\n2791 4194\n52507 78761\n76710 100000\n80315 100000\n40586 60816\n77058 100000\n39836 59692\n96094 100000\n94947 100000\n23177 34771\n34038 51047\n74832 100000\n52995 79489\n99992 100000\n1667 2506\n72266 100000\n18099 27132\n80487 100000\n77853 100000\n50129 75183\n76958 100000\n14244 21372\n73041 100000\n67329 100000\n28352 42502\n50344 75503\n11916 17928\n8939 13448\n19850 29761\n18714 28059\n50624 75927\n60377 90582\n87525 100000\n53064 79595\n14630 21956\n77757 100000\n28082 42104\n82390 100000\n25789 38671\n73413 100000\n1972 2952\n98048 100000\n12245 18435\n65788 98674\n2730 4101\n89587 100000\n42597 63841\n18583 27844\n45664 68444\n42355 63487\n21731 32598\n46699 70023\n70670 100000\n22564 33861\n67148 100000\n24908 37344\n17378 26071\n6985 10540\n22288 33458\n90152 100000\n27818 41701\n16740 25113\n7914 11929\n90649 100000\n97390 100000\n93809 100000\n6045 9132\n33451 50177\n67391 100000\n67047 100000\n93981 100000\n67304 100000\n67334 100000\n53228 79849\n72393 100000\n75528 100000\n87462 100000\n98171 100000\n52175 78270\n22398 33616\n7860 11847\n57417 86139\n99614 100000\n13493 20265\n44806 67141\n89705 100000\n95132 100000\n40816 61167\n25033 37536\n5842 8810\n4519 6794\n2387 3584\n45971 68910\n49629 74442\n36553 54822\n18054 27068\n29131 43672\n98087 100000\n69748 100000\n98150 100000\n5997 9061\n67880 100000\n20172 30256\n56404 84592\n87794 100000\n19006 28498\n77561 100000\n43272 64843\n37291 55915\n36627 54933\n18827 28223\n27179 40737\n51506 77266\n4699 7078\n7989 12038\n4880 7354\n54707 82040\n63140 94750\n8656 13032\n53412 80117\n82753 100000\n3989 5990\n99036 100000\n79174 100000\n62152 93245\n71995 100000\n90555 100000\n85754 100000\n77375 100000\n82182 100000\n82820 100000\n18077 27100\n32870 49297\n57120 85689\n55333 82979\n26689 40015\n8626 12992\n40928 61338\n67747 100000\n82762 100000\n31997 47979\n48236 72339\n56752 85123\n83869 100000\n67435 100000\n50346 75505\n36688 55017\n92038 100000\n17800 26701\n5306 8009\n40040 59999\n90780 100000\n31008 46486\n22640 33970\n90038 100000\n20574 30860\n8734 13145\n72085 100000\n87895 100000\n75864 100000\n38607 57858\n5546 8365\n43894 65770\n82568 100000\n11450 17243\n27068 40573\n29597 44374\n24814 37203\n4891 7373\n72498 100000\n39121 58604\n63852 95802\n97713 100000\n93887 100000\n69074 100000\n22592 33902\n2375 3569\n25644 38450\n38940 58342\n81957 100000\n75664 100000\n26003 38995\n66493 99740\n34701 52056\n92512 100000\n42510 63716\n10613 15985\n16517 24787\n17368 26056\n59427 89153\n21762 32648\n7933 11959\n54849 82252\n36110 54149\n36204 54286\n27734 41573\n1281 1925\n73601 100000\n39594 59317\n66066 99099\n37008 55491\n81234 100000\n19833 29736\n14661 22005\n8990 13526\n21210 31801\n11617 17490\n20203 30303\n78716 100000\n48170 72237\n45803 68650\n57482 86239\n48187 72262\n20140 30205\n13825 20757\n56675 85010\n9293 13980\n84860 100000\n41094 61597\n26887 40302\n24392 36572\n50394 75583\n18746 28106\n28749 43096\n7377 11115\n5144 7759\n52127 78199\n79883 100000\n52590 78890\n6846 10336\n17679 26522\n20722 31073\n1802 2697\n76574 100000\n55560 83324\n85074 100000\n34783 52176\n13016 19568\n34106 51149\n47553 71319\n2140 3208\n2679 4027\n4169 6261\n12073 18174\n49027 73525\n93709 100000\n34815 52221\n8049 12124\n96009 100000\n24013 36015\n90541 100000\n92210 100000\n11786 17726\n3764 5645\n9007 13553\n46757 70115\n82440 100000\n27576 41339\n33418 50124\n1344 2022\n43177 64695\n82031 100000\n57943 86928\n75335 100000\n60117 90202\n84125 100000\n77667 100000\n46698 70022\n54445 81659\n69633 100000\n20386 30566\n75120 100000\n80655 100000\n53612 80432\n85789 100000\n58326 87507\n62300 93461\n62746 94135\n16030 24052\n94734 100000\n66082 99124\n38785 58108\n38470 57651\n40399 60539\n16624 24943\n25694 38528\n77521 100000\n91120 100000\n2300 3455\n48228 72325\n40834 61193\n67782 100000\n15961 23946\n29115 43647\n31019 46502\n56761 85138\n26488 39717\n67173 100000\n24750 37103\n30288 45393\n58920 88378\n35972 53945\n3886 5834\n51429 77157\n19381 29057\n55447 83156\n30954 46408\n19146 28710\n73362 100000\n23922 35880\n94634 100000\n47231 70825\n98043 100000\n14836 22262\n77821 100000\n42217 63278\n74082 100000\n54019 81041\n8664 13043\n73556 100000\n53108 79671\n67033 100000\n20153 30225\n15823 23738\n59020 88530\n63451 95200\n64662 97006\n80626 100000\n85746 100000\n31348 46994\n29971 44935\n80207 100000\n39939 59849\n12030 18106\n83609 100000\n86723 100000\n68556 100000\n17455 26187\n39847 59710\n42613 63864\n48414 72599\n5122 7726\n56387 84569\n59198 88802\n58436 87666\n53344 80010\n48302 72434\n21911 32879\n8189 12329\n51095 76662\n45304 67889\n69288 100000\n17311 25973\n47245 70849\n57104 85662\n68792 100000\n47201 70782\n30014 44999\n49152 73707\n97189 100000\n61556 92360\n13850 20796\n91844 100000\n9522 14324\n48936 73390\n93450 100000\n93011 100000\n88240 100000\n14561 21852\n69073 100000\n62741 94127\n57872 86815\n18176 27242\n50128 75181\n33106 49666\n62542 93822\n27854 41758\n6790 10255\n98575 100000\n76565 100000\n50812 76223\n59898 89870\n80672 100000\n89401 100000\n84564 100000\n38227 57283\n42134 63157\n83487 100000\n2612 3921\n47783 71662\n96743 100000\n34818 52226\n53610 80429\n5219 7873\n49935 74889\n41221 61780\n18527 27764\n77363 100000\n33342 50006\n58083 87141\n60264 90421\n34387 51573\n4624 6957\n69963 100000\n85405 100000\n90464 100000\n40310 60404\n9347 14058\n25845 38757\n8074 12161\n88178 100000\n96046 100000\n69895 100000\n90580 100000\n23432 35153\n40837 61198\n19854 29767\n12007 18071\n75463 100000\n43721 65508\n66038 99054\n49864 74785\n22496 33760\n54302 81461\n66172 99256\n95740 100000\n15747 23629\n23130 34705\n9316 14016\n87084 100000\n53998 81008\n44425 66574\n92861 100000\n55651 83461\n60650 90991\n5378 8118\n83749 100000\n34016 51013\n44367 66479\n7653 11534\n38895 58277\n67505 100000\n18343 27488\n26745 40094\n21447 32160\n4352 6547\n89735 100000\n21597 32382\n78443 100000\n19713 29562\n51248 76893\n64084 96145\n13652 20496\n53695 80558\n11161 16807\n77721 100000\n33486 50229\n77059 100000\n63235 94884\n18055 27070\n95486 100000\n33616 50416\n47935 71889\n91649 100000\n76661 100000\n95576 100000\n57130 85707\n16961 25439\n50627 75932\n45954 68881\n16785 25175\n85413 100000\n63295 94970\n20412 30605\n55396 83078\n67755 100000\n39702 59482\n38636 57896\n84575 100000\n54365 81555\n16793 25187\n65559 98337\n88468 100000\n60081 90149\n31440 47140\n73566 100000\n8578 12920\n51042 76582\n89646 100000\n25366 38026\n90121 100000\n92309 100000\n5882 8878\n39693 59467\n80899 100000\n10376 15630\n4977 7507\n93472 100000\n98582 100000\n40761 61081\n47997 71972\n81072 100000\n99875 100000\n51097 76666\n37888 56783\n13435 20190\n2584 3885\n19087 28623\n14028 21053\n70526 100000\n34889 52327\n41769 62606\n17202 25807\n99963 100000\n56872 85311\n97748 100000\n99644 100000\n93365 100000\n54006 81021\n18637 27933\n91788 100000\n5443 8213\n89827 100000\n18029 27033\n25188 37764\n53988 80992\n59489 89247\n88726 100000\n73796 100000\n13072 19657\n65174 97767\n17029 25547\n4651 7000\n28919 43357\n7422 11184\n29064 43572\n12674 19075\n68462 100000\n4429 6666\n8490 12786\n39203 58732\n19327 28979\n30071 45077\n77064 100000\n10250 15443\n92874 100000\n51392 77107\n4925 7425\n39714 59499\n81356 100000\n1742 2615\n36780 55163\n92803 100000\n71368 100000\n86038 100000\n29589 44362\n35743 53603\n13680 20538\n38200 57245\n14811 22225\n77127 100000\n95570 100000\n10101 15222\n33833 50741\n91830 100000\n20281 30416\n26619 39907\n56860 85293\n2072 3105\n35814 53704\n55607 83394\n50577 75857\n34220 51317\n14545 21831\n86055 100000\n23511 35274\n62787 94198\n22127 33212\n86245 100000\n18180 27246\n70370 100000\n90343 100000\n45332 67930\n58004 87021\n62788 94199\n89563 100000\n12963 19489\n15296 22956\n3725 5588\n9281 13961\n49422 74121\n24964 37427\n15695 23557\n94780 100000\n50160 75228\n6880 10390\n29743 44600\n86641 100000\n43459 65119\n83900 100000\n80165 100000\n68618 100000\n81653 100000\n61897 92864\n74934 100000\n83819 100000\n4606 6929\n64468 96719\n6384 9646\n95444 100000\n20393 30578\n51992 77992\n73986 100000\n8965 13485\n64009 96037\n77179 100000\n2115 3172\n69441 100000\n84283 100000\n95109 100000\n35238 52848\n2951 4441\n19308 28950\n52805 79206\n9416 14164\n68785 100000\n36720 55070\n45561 68275\n11225 16904\n47391 71067\n8068 12154\n6306 9528\n7490 11289\n66445 99668\n40079 60059\n80604 100000\n70163 100000\n66351 99527\n49734 74597\n19979 29963\n52146 78228\n68829 100000\n10907 16424\n90717 100000\n9059 13631\n6276 9476\n53810 80725\n72983 100000\n98667 100000\n89502 100000\n4464 6720\n93958 100000\n69812 100000\n73166 100000\n9061 13633\n88494 100000\n16560 24849\n84727 100000\n70781 100000\n67016 100000\n17736 26604\n90283 100000\n94271 100000\n64418 96644\n28164 42223\n8867 13339\n68657 100000\n55935 83890\n66584 99880\n21945 32931\n78771 100000\n74828 100000\n85669 100000\n11285 16993\n72327 100000\n90087 100000\n85614 100000\n46991 70472\n29994 44972\n62793 94205\n960 1442\n71255 100000\n88824 100000\n78788 100000\n10199 15366\n59475 89223\n31854 47762\n60714 91090\n97666 100000\n58040 87076\n49003 73488\n46761 70122\n24877 37297\n58047 87087\n19015 28510\n61151 91748\n23874 35806\n26791 40161\n91438 100000\n94278 100000\n10412 15682\n94830 100000\n73604 100000\n56107 84144\n77617 100000\n70026 100000\n13454 20215\n42657 63927\n1811 2710\n80226 100000\n34082 51113\n29736 44588\n38229 57287\n42001 62958\n53805 80720\n30753 46102\n76277 100000\n4531 6812\n59435 89165\n92127 100000\n88302 100000\n28976 43440\n98198 100000\n52256 78394\n22582 33885\n16946 25414\n76137 100000\n88303 100000\n27631 41425\n5494 8288\n82616 100000\n77065 100000\n49558 74334\n14622 21947\n28982 43448\n33422 50131\n7000 10561\n5282 7972\n59132 88703\n4796 7223\n22441 33689\n29319 43957\n73173 100000\n76617 100000\n64052 96101\n19874 29802\n13010 19560\n12571 18921\n27972 41942\n84477 100000\n60705 91075\n96875 100000\n8259 12427\n81051 100000\n43586 65306\n23291 34946\n63933 95925\n84973 100000\n19359 29024\n44560 66787\n30129 45162\n15751 23634\n72072 100000\n1079 1620\n44069 66033\n65346 98020\n23436 35159\n89125 100000\n49865 74787\n79698 100000\n22904 34367\n62540 93819\n94033 100000\n38408 57559\n28863 43274\n53401 80098\n75575 100000\n4514 6787\n51914 77874\n63663 95512\n67110 100000\n23364 35059\n93782 100000\n70440 100000\n59955 89957\n66736 100000\n10740 16177\n81126 100000\n94561 100000\n18747 28107\n82808 100000\n18110 27146\n14060 21103\n36118 54165\n46836 70236\n82739 100000\n72539 100000\n83303 100000\n11851 17830\n92481 100000\n68474 100000\n16746 25123\n23832 35742\n80659 100000\n11158 16801\n1962 2936\n63242 94893\n60783 91180\n358 525\n1341 2017\n66905 100000\n35709 53544\n8342 12550\n70562 100000\n35516 53263\n30679 45989\n9290 13976\n42452 63634\n42290 63388\n11341 17072\n52930 79393\n45403 68038\n34827 52238\n15091 22645\n95474 100000\n11629 17506\n46022 68988\n63543 95337\n59275 88926\n21365 32033\n35929 53878\n95337 100000\n66170 99253\n24198 36290\n71405 100000\n80138 100000\n35295 52930\n37211 55785\n72367 100000\n18290 27407\n3559 5341\n17811 26720\n53343 80009\n85751 100000\n32437 48644\n94543 100000\n77987 100000\n97653 100000\n82124 100000\n38620 57877\n47208 70793\n99784 100000\n87357 100000\n57752 86642\n15118 22683\n87464 100000\n1192 1797\n3902 5859\n19147 28711\n33885 50816\n2042 3058\n42148 63179\n93997 100000\n13884 20849\n35460 53175\n23145 34726\n9553 14372\n92395 100000\n9576 14405\n83319 100000\n53996 81005\n62884 94349\n4272 6425\n46485 69701\n45621 68375\n39762 59575\n10952 16495\n42532 63746\n49390 74072\n23265 34906\n24772 37138\n80154 100000\n60828 91250\n66046 99066\n38102 57096\n12519 18841\n56830 85245\n29284 43907\n40569 60788\n18173 27237\n35022 52525\n35014 52513\n10698 16111\n25342 37987\n31728 47573\n33241 49858\n78842 100000\n48681 73013\n97889 100000\n11395 17156\n98090 100000\n57392 86105\n50384 75567\n20690 31024\n66792 100000\n26819 40202\n77008 100000\n74035 100000\n28572 42831\n59997 90022\n76919 100000\n71065 100000\n99724 100000\n7595 11446\n78938 100000\n31738 47586\n4467 6723\n25060 37576\n37552 56292\n43793 65617\n67559 100000\n50684 76023\n37143 55693\n33379 50062\n12737 19170\n52870 79303\n41771 62609\n21376 32050\n61853 92797\n41454 62128\n49953 74919\n44076 66046\n81943 100000\n85318 100000\n7795 11751\n2012 3011\n55749 83603\n69002 100000\n52567 78855\n88563 100000\n90113 100000\n92918 100000\n15004 22512\n26631 39926\n18342 27486\n14948 22427\n2852 4284\n57422 86148\n63111 94706\n54504 81749\n75358 100000\n52750 79124\n30206 45272\n96565 100000\n98861 100000\n19960 29931\n1263 1900\n66312 99469\n90596 100000\n56369 84540\n72847 100000\n83451 100000\n9426 14179\n40018 59967\n6181 9333\n93192 100000\n67290 100000\n56716 85070\n2974 4467\n32695 49036\n97671 100000\n12365 18608\n8144 12261\n89467 100000\n72604 100000\n9923 14940\n29777 44650\n57249 85885\n39624 59362\n47469 71188\n6462 9756\n12994 19537\n18330 27468\n47327 70973\n52845 79266\n61622 92448\n13478 20245\n3959 5942\n54145 81226\n42030 62999\n3283 4936\n4741 7141\n30215 45284\n30125 45158\n8436 12702\n9081 13666\n99307 100000\n95580 100000\n49724 74581\n83845 100000\n86989 100000\n88556 100000\n25439 38136\n55921 83868\n24714 37049\n68858 100000\n92988 100000\n8440 12709\n12685 19091\n38196 57237\n16638 24964\n72905 100000\n33128 49698\n20962 31424\n86212 100000\n37685 56485\n55856 83768\n84299 100000\n74955 100000\n17255 25887\n78762 100000\n50427 75632\n53476 80220\n3141 4724\n34963 52444\n24821 37214\n1193 1799\n30178 45230\n74686 100000\n26392 39576\n33642 50457\n75445 100000\n41837 62705\n79448 100000\n98727 100000\n85223 100000\n54740 82091\n26083 39118\n8625 12991\n36130 54180\n36950 55409\n98988 100000\n77255 100000\n29673 44490\n5266 7946\n57832 86755\n96923 100000\n67863 100000\n36902 55341\n55566 83332\n89419 100000\n43087 64560\n41330 61934\n34504 51747\n58054 87098\n18647 27949\n15301 22962\n87142 100000\n44975 67390\n75139 100000\n92131 100000\n62137 93224\n46780 70150\n66036 99052\n42897 64270\n7278 10972\n19824 29725\n36825 55230\n66694 100000\n69331 100000\n25035 37539\n27655 41458\n370 541\n43005 64434\n72750 100000\n20986 31458\n93831 100000\n25952 38918\n87518 100000\n77637 100000\n4173 6268\n89888 100000\n12412 18677\n93279 100000\n38861 58223\n40264 60335\n48273 72393\n26493 39723\n99397 100000\n65151 97736\n17355 26038\n11960 18000\n21888 32846\n34396 51586\n34369 51543\n217 321\n60607 90926\n74585 100000\n12468 18763\n38409 57560\n36560 54833\n58309 87481\n13625 20457\n19634 29439\n71979 100000\n94564 100000\n31643 47441\n58824 88238\n17846 26771\n37466 56163\n53237 79864\n66240 99351\n17969 26941\n1754 2630\n46993 70476\n671 1001\n83002 100000\n51775 77668\n77773 100000\n94205 100000\n49572 74356\n34341 51500\n60946 91437\n3762 5643\n9914 14926\n89604 100000\n33853 50772\n46345 69492\n34005 50996\n91979 100000\n70530 100000\n51847 77772\n44200 66231\n3979 5974\n61595 92413\n42046 63024\n97134 100000\n94488 100000\n83445 100000\n86776 100000\n75682 100000\n45846 68716\n37257 55858\n2226 3338\n17434 26152\n65336 98002\n57850 86783\n41407 62054\n26130 39193\n23338 35018\n20935 31383\n91039 100000\n99917 100000\n77145 100000\n91732 100000\n81005 100000\n47575 71348\n53594 80406\n79393 100000\n53040 79558\n37813 56672\n92368 100000\n91802 100000\n63828 95762\n39635 59375\n51517 77282\n54820 82203\n65850 98763\n32900 49344\n6184 9338\n10953 16497\n96684 100000\n65272 97907\n49188 73760\n25375 38040\n60504 90778\n43978 65895\n57559 86351\n83694 100000\n50159 75226\n1092 1639\n52145 78227\n27406 41073\n14237 21361\n55999 83981\n71275 100000\n11651 17535\n74629 100000\n32277 48402\n4830 7278\n23548 35326\n16445 24683\n7647 11524\n95859 100000\n73547 100000\n99716 100000\n21098 31630\n85201 100000\n63869 95827\n19021 28520\n69340 100000\n114 171\n96271 100000\n64425 96656\n35505 53246\n38433 57597\n44334 66432\n41264 61840\n90788 100000\n54192 81292\n36063 54076\n97616 100000\n92901 100000\n48781 73159\n39933 59839\n84991 100000\n65656 98484\n31954 47908\n28392 42561\n84503 100000\n69375 100000\n82064 100000\n48678 73010\n4443 6690\n50666 75991\n70473 100000\n18242 27334\n96882 100000\n69433 100000\n80351 100000\n86234 100000\n97760 100000\n81569 100000\n7892 11896\n90697 100000\n52532 78802\n22933 34412\n97080 100000\n26570 39833\n82991 100000\n16376 24580\n31554 47307\n75651 100000\n27691 41511\n15768 23658\n67248 100000\n46834 70232\n45999 68953\n19086 28622\n53490 80239\n22019 33049\n84914 100000\n79692 100000\n95719 100000\n66880 100000\n25363 38021\n92478 100000\n73073 100000\n47029 70532\n53660 80505\n16087 24140\n85047 100000\n4081 6126\n52936 79401\n97934 100000\n80279 100000\n80033 100000\n81643 100000\n33139 49717\n44441 66598\n98363 100000\n72042 100000\n87749 100000\n53937 80915\n51074 76631\n8897 13385\n30209 45275\n12337 18570\n22264 33422\n28597 42867\n23013 34531\n32444 48656\n40783 61118\n87226 100000\n37767 56606\n6298 9515\n11746 17675\n13532 20322\n26381 39560\n60022 90057\n497 743\n79993 100000\n87699 100000\n60051 90103\n35076 52602\n97410 100000\n27643 41441\n64337 96525\n73769 100000\n90364 100000\n60061 90117\n35387 53072\n56272 84395\n11061 16657\n17543 26318\n9809 14763\n26699 40031\n58846 88270\n69690 100000\n20463 30682\n5651 8522\n47179 70746\n65694 98542\n53797 80709\n19218 28819\n29848 44751\n72922 100000\n70902 100000\n89620 100000\n58913 88366\n21442 32151\n65566 98348\n34109 51152\n62093 93155\n59646 89491\n7999 12051\n37980 56919\n68755 100000\n24180 36263\n9614 14462\n2662 3998\n60291 90456\n86205 100000\n65879 98805\n43854 65710\n80707 100000\n89674 100000\n3488 5243\n12684 19089\n68519 100000\n45368 67985\n45218 67761\n34837 52252\n72076 100000\n15736 23612\n38817 58156\n51246 76890\n70092 100000\n44152 66157\n33090 49641\n94004 100000\n54532 81786\n88623 100000\n14891 22341\n6801 10272\n98558 100000\n16322 24501\n58227 87355\n39310 58888\n4206 6318\n4842 7299\n22440 33687\n97549 100000\n78504 100000\n5946 8980\n65572 98356\n93265 100000\n55846 83752\n36763 55133\n13052 19628\n62472 93721\n70388 100000\n96991 100000\n82277 100000\n72906 100000\n86781 100000\n37803 56661\n7674 11566\n3730 5597\n60529 90816\n53212 79828\n55610 83398\n84704 100000\n76677 100000\n7826 11796\n61449 92195\n29601 44379\n34147 51207\n82538 100000\n66389 99585\n38296 57393\n90428 100000\n22075 33130\n17871 26812\n44283 66356\n24887 37312\n16528 24802\n141 212\n96483 100000\n71658 100000\n64467 96718\n95879 100000\n31304 46931\n46731 70074\n25208 37793\n51342 77038\n83110 100000\n67434 100000\n29640 44439\n76139 100000\n3743 5618\n93696 100000\n64846 97275\n21288 31913\n76167 100000\n10861 16359\n22882 34333\n62524 93795\n67065 100000\n47185 70756\n22229 33373\n8782 13217\n60630 90960\n88273 100000\n80185 100000\n34104 51146\n37504 56220\n94166 100000\n78907 100000\n50444 75656\n98856 100000\n72782 100000\n29293 43920\n92781 100000\n74897 100000\n76656 100000\n41667 62454\n64625 96952\n32767 49145\n66572 99860\n218 323\n44599 66841\n18756 28120\n44986 67408\n81663 100000\n62946 94450\n25062 37580\n522 780\n2863 4300\n44492 66677\n23991 35985\n79321 100000\n62954 94462\n47941 71897\n54092 81150\n96577 100000\n99360 100000\n172 256\n44650 66913\n45602 68340\n60266 90423\n84372 100000\n28326 42464\n19223 28825\n6177 9328\n14062 21106\n93996 100000\n14844 22274\n43036 64483\n98816 100000\n22479 33738\n8746 13162\n19622 29423\n1560 2349\n49923 74872\n82290 100000\n97402 100000\n96285 100000\n54551 81813\n96289 100000\n16048 24080\n91758 100000\n77394 100000\n50932 76414\n49433 74136\n73662 100000\n50451 75667\n14236 21359\n94607 100000\n26253 39374\n95333 100000\n36059 54069\n51117 76696\n86518 100000\n88733 100000\n25176 37745\n6717 10147\n85834 100000\n51119 76699\n12276 18481\n5786 8726\n16626 24945\n3459 5204\n28671 42978\n71808 100000\n10758 16204\n59160 88746\n37694 56497\n8064 12148\n71825 100000\n98179 100000\n19472 29193\n27007 40478\n49843 74752\n11572 17422\n10509 15823\n17579 26377\n16068 24111\n84787 100000\n67087 100000\n83298 100000\n85271 100000\n33398 50093\n78733 100000\n51901 77852\n32507 48757\n4610 6934\n55880 83806\n96117 100000\n15411 23130\n44418 66563\n43912 65799\n34052 51068\n25158 37720\n34914 52367\n11828 17793\n7326 11041\n58526 87796\n50392 75579\n49331 73982\n58393 87598\n27237 40822\n20675 31003\n75883 100000\n65952 98917\n88267 100000\n90055 100000\n30645 45933\n23680 35526\n47096 70622\n76488 100000\n96860 100000\n82088 100000\n49599 74399\n35904 53838\n86630 100000\n66649 99980\n332 484\n95360 100000\n14320 21495\n39295 58866\n35316 52959\n11321 17043\n91170 100000\n51710 77579\n57001 85505\n65950 98914\n52574 78867\n71595 100000\n44478 66655\n46808 70195\n91315 100000\n3450 5191\n3849 5775\n69501 100000\n96262 100000\n10294 15503\n55502 83241\n16091 24145\n19186 28771\n25683 38508\n13282 19960\n72682 100000\n22888 34344\n7013 10577\n44527 66732\n69699 100000\n74493 100000\n33299 49942\n81175 100000\n55944 83904\n91366 100000\n49783 74668\n60039 90083\n56974 85464\n91647 100000\n44106 66093\n34324 51471\n59838 89781\n48379 72546\n56865 85299\n49796 74684\n68348 100000\n90014 100000\n91058 100000\n97478 100000\n86259 100000\n601 902\n91692 100000\n75075 100000\n35949 53911\n55733 83578\n22999 34511\n10660 16054\n32668 48997\n12925 19430\n45916 68824\n58467 87708\n89466 100000\n70517 100000\n94287 100000\n26060 39081\n81158 100000\n81277 100000\n16297 24457\n65128 97701\n29757 44620\n46684 70000\n54454 81674\n33540 50303\n49198 73776\n80215 100000\n50995 76516\n52130 78205\n25546 38296\n51947 77921\n45116 67603\n62330 93508\n70460 100000\n68003 100000\n63422 95159\n79768 100000\n69675 100000\n2776 4171\n80032 100000\n97315 100000\n75876 100000\n42965 64374\n98981 100000\n30250 45337\n9009 13556\n95528 100000\n34448 51660\n18986 28467\n87607 100000\n45555 68267\n78513 100000\n26696 40027\n53085 79634\n45182 67708\n41028 61498\n83519 100000\n40364 60487\n15359 23055\n4030 6047\n20375 30549\n65880 98807\n62045 93080\n28337 42480\n69782 100000\n16842 25258\n15905 23860\n18738 28094\n6028 9106\n35178 52757\n31561 47316\n63661 95509\n30937 46385\n29427 44122\n35046 52560\n17909 26862\n95992 100000\n89992 100000\n12035 18113\n94074 100000\n98857 100000\n77423 100000\n64268 96418\n52142 78224\n27814 41694\n48307 72441\n50713 76071\n28078 42100\n90627 100000\n86101 100000\n2820 4237\n93352 100000\n25261 37870\n43149 64650\n31264 46868\n67807 100000\n17838 26760\n8564 12900\n84376 100000\n16290 24445\n97030 100000\n47132 70676\n51456 77193\n47943 71899\n57481 86238\n94274 100000\n99758 100000\n52861 79288\n99258 100000\n98736 100000\n53376 80057\n10825 16304\n87578 100000\n78789 100000\n70812 100000\n48585 72868\n95332 100000\n93639 100000\n16057 24094\n1075 1613\n63026 94572\n22699 34056\n30190 45248\n63851 95800\n83997 100000\n60196 90322\n66348 99523\n36383 54562\n7250 10929\n12652 19040\n26396 39582\n56870 85307\n16585 24886\n26347 39507\n96700 100000\n50871 76318\n99539 100000\n99836 100000\n52477 78717\n11627 17504\n66371 99557\n68149 100000\n56925 85388\n16706 25066\n10848 16340\n80933 100000\n95548 100000\n88150 100000\n52933 79396\n53575 80376\n7427 11193\n54584 81860\n83107 100000\n86450 100000\n30448 45632\n65153 97738\n80143 100000\n4076 6117\n58406 87618\n60735 91115\n84927 100000\n32895 49337\n96110 100000\n98957 100000\n68699 100000\n61397 92118\n95585 100000\n34791 52188\n48278 72399\n67618 100000\n33979 50958\n95707 100000\n63439 95182\n14487 21741\n88837 100000\n78013 100000\n23609 35421\n47262 70875\n45871 68750\n89932 100000\n34502 51745\n28074 42093\n35140 52696\n72326 100000\n91138 100000\n17587 26387\n31638 47433\n23798 35697\n71145 100000\n85263 100000\n99481 100000\n84737 100000\n28046 42058\n7257 10940\n39899 59786\n93804 100000\n46741 70092\n39237 58786\n72991 100000\n31469 47180\n6210 9376\n78953 100000\n39626 59365\n35532 53284\n7256 10939\n96934 100000\n37464 56161\n45040 67487\n15502 23263\n75633 100000\n37959 56887\n33326 49980\n33620 50423\n69716 100000\n98315 100000\n4349 6541\n65203 97810\n79639 100000\n34228 51329\n61411 92140\n91418 100000\n1727 2593\n48596 72885\n98479 100000\n82219 100000\n34655 51981\n89096 100000\n53648 80485\n44979 67397\n74980 100000\n43464 65127\n43387 65009\n49201 73780\n6231 9409\n77793 100000\n81843 100000\n46010 68970\n4716 7103\n95734 100000\n35567 53337\n74642 100000\n19374 29044\n94181 100000\n45603 68342\n76321 100000\n32212 48303\n21454 32169\n74485 100000\n30386 45532\n36090 54117\n88894 100000\n21576 32348\n49463 74180\n18982 28461\n10023 15099\n88764 100000\n28127 42166\n27807 41681\n99345 100000\n42581 63817\n13938 20926\n46752 70107\n71757 100000\n41202 61749\n16950 25422\n90442 100000\n62017 93042\n14642 21974\n27422 41099\n94768 100000\n36062 54075\n84594 100000\n41437 62103\n22824 34247\n9988 15048\n82846 100000\n55487 83216\n28731 43070\n76335 100000\n55358 83017\n57957 86947\n61383 92095\n65445 98168\n76724 100000\n1436 2162\n26957 40405\n77926 100000\n88642 100000\n10706 16126\n35448 53157\n96688 100000\n23678 35522\n83094 100000\n24711 37045\n63138 94747\n16854 25275\n86716 100000\n67958 100000\n24118 36170\n20348 30506\n25412 38099\n23339 35019\n99902 100000\n17856 26787\n87926 100000\n93009 100000\n14922 22388\n76409 100000\n70949 100000\n1853 2774\n45649 68418\n43134 64629\n96220 100000\n89521 100000\n3489 5245\n35408 53098\n85129 100000\n62515 93779\n70904 100000\n95370 100000\n44482 66661\n99482 100000\n40824 61179\n40378 60508\n87423 100000\n33557 50329\n48977 73449\n82225 100000\n89817 100000\n46147 69177\n51667 77512\n9415 14163\n23457 35189\n9442 14205\n11149 16787\n66139 99208\n74125 100000\n4418 6649\n10144 15284\n67627 100000\n33987 50971\n10748 16190\n60290 90455\n81446 100000\n69718 100000\n27675 41486\n80951 100000\n24870 37285\n79763 100000\n93652 100000\n27444 41131\n64326 96508\n94222 100000\n38256 57331\n90387 100000\n54439 81652\n53226 79847\n52615 78930\n85458 100000\n35410 53101\n76969 100000\n352 515\n45905 68808\n25110 37652\n74600 100000\n92263 100000\n12267 18468\n92975 100000\n67822 100000\n13287 19967\n86427 100000\n73755 100000\n88582 100000\n47633 71440\n70576 100000\n96063 100000\n81226 100000\n90209 100000\n71005 100000\n78883 100000\n95950 100000\n78947 100000\n42807 64137\n41547 62270\n58025 87053\n78691 100000\n38719 58011\n70435 100000\n12085 18188\n97575 100000\n21240 31842\n89781 100000\n75367 100000\n38052 57023\n64087 96150\n46511 69741\n11788 17730\n81686 100000\n93480 100000\n60086 90156\n25667 38483\n3049 4584\n59771 89683\n41536 62255\n23945 35916\n15187 22792\n57616 86438\n51550 77334\n16060 24099\n25860 38777\n97450 100000\n92178 100000\n75344 100000\n8675 13061\n36189 54266\n82972 100000\n77311 100000\n13456 20218\n7920 11937\n16427 24655\n43069 64534\n13324 20022\n23697 35549\n94067 100000\n73348 100000\n47939 71894\n63834 95773\n83655 100000\n68481 100000\n9423 14175\n13700 20570\n18001 26991\n63549 95345\n36786 55170\n36667 54988\n44307 66392\n60625 90953\n74490 100000\n2994 4500\n3266 4909\n96862 100000\n42153 63187\n59946 89944\n19906 29852\n70747 100000\n43799 65625\n45837 68702\n20957 31418\n22946 34430\n16875 25307\n88344 100000\n98556 100000\n39828 59679\n47625 71429\n53952 80937\n41570 62307\n92684 100000\n97548 100000\n59509 89281\n65571 98354\n40597 60832\n18238 27328\n26462 39676\n60700 91069\n2563 3854\n8332 12537\n42813 64145\n80959 100000\n92006 100000\n81901 100000\n57228 85852\n23333 35013\n68346 100000\n69591 100000\n50500 75745\n18793 28173\n53366 80042\n57618 86441\n6287 9496\n30992 46461\n13449 20207\n76149 100000\n2242 3364\n84672 100000\n29096 43618\n10116 15243\n60099 90176\n8453 12725\n93985 100000\n10794 16258\n3252 4887\n98967 100000\n83744 100000\n20625 30937\n57312 85983\n673 1005\n77710 100000\n14396 21610\n80332 100000\n63579 95387\n87251 100000\n71191 100000\n86180 100000\n81829 100000\n31642 47439\n24476 36696\n60083 90151\n90642 100000\n32738 49103\n2638 3964\n12298 18511\n99654 100000\n23732 35605\n12739 19173\n54838 82233\n45334 67932\n47897 71831\n52114 78178\n30816 46201\n54245 81373\n96382 100000\n99271 100000\n52189 78294\n32755 49127\n10440 15722\n59222 88842\n23403 35112\n3261 4899\n17250 25878\n37528 56254\n21184 31761\n14688 22043\n52546 78825\n14649 21988\n62213 93332\n25021 37515\n9832 14798\n94516 100000\n1292 1942\n68451 100000\n36782 55166\n57801 86709\n31898 47827\n3289 4947\n50220 75320\n72674 100000\n30406 45561\n86492 100000\n31560 47315\n9539 14350\n34713 52073\n13019 19572\n91953 100000\n75533 100000\n60374 90578\n26553 39810\n6562 9912\n5968 9015\n83643 100000\n669 998\n15785 23683\n88360 100000\n48590 72876\n76824 100000\n52316 78481\n44238 66285\n88972 100000\n1467 2208\n2636 3961\n35897 53829\n41616 62379\n40589 60821\n51349 77049\n26983 40443\n88765 100000\n43928 65821\n73400 100000\n90985 100000\n66416 99623\n4628 6965\n11502 17316\n87845 100000\n19549 29311\n4472 6730\n85894 100000\n22887 34342\n24591 36863\n71464 100000\n18895 28326\n29151 43701\n14921 22387\n82439 100000\n97776 100000\n96808 100000\n53521 80286\n47923 71869\n34413 51613\n39679 59446\n3889 5840\n84451 100000\n11480 17284\n25849 38762\n30831 46222\n64143 96233\n77175 100000\n55679 83500\n29725 44569\n3684 5531\n59046 88572\n8495 12793\n60337 90524\n16379 24584\n11908 17914\n73861 100000\n13073 19658\n66058 99084\n84460 100000\n477 712\n19976 29960\n90329 100000\n55413 83105\n46426 69614\n16558 24846\n39970 59896\n94521 100000\n86411 100000\n99932 100000\n48041 72042\n26721 40062\n95918 100000\n42853 64206\n87993 100000\n28143 42193\n37020 55508\n53144 79724\n11594 17457\n52595 78899\n91823 100000\n8124 12233\n99057 100000\n56547 84812\n71170 100000\n61303 91972\n84632 100000\n15457 23197\n72441 100000\n17282 25927\n93131 100000\n90609 100000\n78986 100000\n37727 56543\n69932 100000\n16658 24993\n10882 16387\n9867 14849\n68261 100000\n67474 100000\n94592 100000\n40921 61329\n13806 20731\n63452 95202\n12944 19457\n75550 100000\n54925 82361\n61167 91772\n14050 21088\n8047 12122\n31124 46656\n57491 86250\n36802 55194\n58857 88284\n40043 60003\n73708 100000\n7065 10654\n99754 100000\n67636 100000\n46219 69289\n51410 77130\n88621 100000\n65945 98907\n96769 100000\n19454 29167\n67107 100000\n60927 91408\n61547 92347\n49790 74677\n85655 100000\n37103 55629\n13060 19641\n98180 100000\n58543 87821\n95566 100000\n48594 72882\n34946 52417\n36224 54314\n72442 100000\n42349 63479\n93666 100000\n67881 100000\n79528 100000\n68776 100000\n59413 89133\n88490 100000\n32885 49321\n54138 81215\n23372 35069\n83659 100000\n40048 60012\n90991 100000\n33754 50623\n96861 100000\n84866 100000\n15417 23137\n74158 100000\n47214 70800\n9697 14585\n31301 46926\n93753 100000\n2488 3735\n36587 54872\n73104 100000\n59539 89327\n10741 16178\n85387 100000\n69435 100000\n36998 55478\n43625 65363\n98308 100000\n921 1382\n45458 68119\n4961 7484\n46673 69981\n5233 7892\n46473 69683\n58867 88297\n48485 72709\n30749 46095\n71249 100000\n95922 100000\n10630 16011\n1507 2271\n17427 26143\n76377 100000\n39822 59669\n88919 100000\n21202 31788\n48085 72111\n43955 65862\n78754 100000\n68200 100000\n46050 69032\n844 1268\n59592 89410\n75060 100000\n98313 100000\n69452 100000\n8483 12774\n55024 82504\n93361 100000\n67100 100000\n65220 97834\n41256 61828\n21254 31862\n56392 84577\n8837 13295\n90888 100000\n75487 100000\n51716 77586\n76872 100000\n55916 83861\n5191 7832\n19414 29108\n24904 37338\n55826 83723\n9839 14809\n30174 45225\n45724 68536\n83436 100000\n50277 75406\n93535 100000\n75349 100000\n87068 100000\n10754 16198\n37183 55745\n57245 85879\n55830 83728\n81588 100000\n51815 77725\n17419 26134\n51464 77204\n93979 100000\n25143 37699\n16279 24428\n39113 58593\n69873 100000\n58862 88290\n22289 33459\n55803 83689\n91148 100000\n91413 100000\n80386 100000\n98825 100000\n92827 100000\n77532 100000\n79864 100000\n99042 100000\n77303 100000\n13849 20794\n28666 42971\n72735 100000\n46093 69097\n80406 100000\n14992 22492\n98088 100000\n14223 21343\n41992 62944\n92524 100000\n17925 26883\n70369 100000\n9589 14423\n20076 30109\n26370 39544\n19216 28816\n88848 100000\n61185 91799\n51138 76728\n46270 69375\n91118 100000\n57300 85965\n22672 34017\n46972 70441\n17703 26557\n62184 93286\n913 1370\n31823 47715\n45351 67957\n18307 27435\n68696 100000\n11254 16947\n77829 100000\n37921 56832\n42625 63883\n31407 47088\n79532 100000\n97737 100000\n78045 100000\n80071 100000\n5532 8344\n30840 46236\n23443 35169\n35378 53059\n99233 100000\n71421 100000\n42208 63263\n17860 26792\n6170 9316\n82493 100000\n69417 100000\n64031 96068\n46000 68955\n85062 100000\n7035 10609\n21351 32009\n15446 23180\n26134 39200\n94641 100000\n98349 100000\n27000 40468\n67829 100000\n9172 13799\n17093 25644\n97207 100000\n24109 36156\n40595 60829\n18051 27064\n8237 12396\n94843 100000\n90686 100000\n77376 100000\n85493 100000\n41453 62127\n41874 62766\n95645 100000\n10410 15679\n37416 56095\n32843 49257\n60967 91470\n84612 100000\n4506 6777\n8277 12451\n63294 94969\n89638 100000\n66081 99122\n39006 58438\n31392 47061\n48825 73223\n21564 32330\n47674 71501\n3690 5540\n87202 100000\n41599 62352\n86066 100000\n4241 6377\n48919 73368\n31745 47596\n23629 35449\n70906 100000\n46329 69464\n53054 79581\n17306 25966\n58835 88256\n64637 96968\n29887 44806\n61796 92708\n66401 99604\n65691 98538\n40695 60979\n76607 100000\n92018 100000\n82035 100000\n64270 96420\n63485 95253\n60806 91212\n61805 92722\n80222 100000\n66141 99211\n30521 45748\n6344 9587\n54273 81415\n62178 93278\n57655 86495\n53936 80914\n30054 45055\n68582 100000\n6413 9686\n41089 61590\n2539 3816\n24414 36604\n91133 100000\n49096 73620\n38125 57131\n69177 100000\n54373 81565\n46137 69163\n27361 41008\n69183 100000\n67715 100000\n98289 100000\n62988 94514\n73465 100000\n78547 100000\n54190 81289\n78264 100000\n42673 63949\n46954 70416\n91685 100000\n72359 100000\n26498 39730\n95791 100000\n39189 58712\n80480 100000\n31240 46830\n40395 60534\n23745 35625\n22139 33228\n77730 100000\n49916 74862\n75910 100000\n95834 100000\n89085 100000\n80750 100000\n1654 2484\n32083 48112\n31564 47320\n64525 96804\n59394 89106\n68455 100000\n48060 72071\n68399 100000\n25601 38386\n23840 35753\n84922 100000\n63712 95582\n95063 100000\n2906 4366\n8335 12541\n33593 50381\n97877 100000\n51437 77168\n22769 34162\n24488 36716\n55075 82582\n74058 100000\n25468 38179\n67734 100000\n17560 26346\n61512 92290\n18665 27979\n89182 100000\n71478 100000\n78416 100000\n1202 1812\n11818 17774\n33870 50795\n37151 55704\n85574 100000\n45145 67651\n13964 20963\n99693 100000\n35757 53621\n43503 65181\n45688 68482\n48138 72184\n80551 100000\n62714 94086\n13734 20622\n8089 12185\n26285 39417\n39112 58591\n55582 83357\n13526 20312\n59665 89520\n97744 100000\n46562 69819\n33270 49902\n47588 71368\n24938 37385\n90365 100000\n44514 66709\n73447 100000\n19480 29205\n62828 94264\n75669 100000\n98536 100000\n73124 100000\n50918 76392\n30283 45386\n83983 100000\n48639 72951\n48171 72238\n68210 100000\n78488 100000\n14500 21763\n66971 100000\n55163 82719\n49376 74053\n35943 53901\n24532 36777\n72066 100000\n57523 86301\n81835 100000\n51357 77058\n38722 58014\n95731 100000\n20950 31408\n64029 96066\n24288 36421\n60184 90305\n908 1362\n92346 100000\n66813 100000\n99480 100000\n70344 100000\n45730 68545\n75396 100000\n75677 100000\n16241 24373\n65855 98770\n13624 20455\n15934 23903\n1748 2622\n25047 37559\n89720 100000\n17391 26093\n84238 100000\n27743 41587\n77168 100000\n33153 49736\n70432 100000\n18080 27105\n39867 59743\n30517 45742\n9835 14802\n40092 60079\n27726 41564\n99602 100000\n76541 100000\n35144 52703\n52809 79212\n28060 42076\n3418 5139\n36879 55306\n75700 100000\n28574 42834\n32388 48567\n53177 79773\n63491 95263\n7394 11144\n5044 7607\n53775 80677\n76057 100000\n76832 100000\n18641 27940\n35973 53947\n10419 15692\n16591 24892\n79898 100000\n62125 93205\n75264 100000\n20623 30934\n80249 100000\n7832 11806\n88670 100000\n66181 99269\n22481 33740\n9243 13904\n49542 74309\n63182 94814\n12194 18356\n7331 11048\n54970 82423\n26683 40006\n89970 100000\n46225 69298\n27440 41126\n25117 37663\n75243 100000\n1816 2718\n23725 35593\n15681 23534\n67885 100000\n28342 42487\n99059 100000\n11893 17893\n23512 35276\n53400 80096\n52215 78330\n13556 20358\n36493 54733\n19162 28734\n92832 100000\n78212 100000\n94605 100000\n82322 100000\n14121 21194\n40800 61145\n63967 95975\n54078 81133\n10998 16563\n10810 16285\n18996 28483\n65607 98413\n71644 100000\n12063 18160\n70836 100000\n41881 62777\n65508 98261\n39830 59683\n75062 100000\n80627 100000\n33814 50711\n45038 67484\n70929 100000\n73105 100000\n16806 25205\n61115 91692\n95801 100000\n58032 87065\n44928 67319\n99300 100000\n88600 100000\n73793 100000\n14451 21693\n67375 100000\n86513 100000\n86590 100000\n3342 5023\n15735 23611\n11180 16836\n87438 100000\n12318 18540\n35807 53693\n72027 100000\n53861 80803\n18198 27272\n8844 13304\n80214 100000\n44585 66824\n14195 21302\n93726 100000\n3412 5128\n58102 87172\n6086 9190\n58260 87408\n56834 85250\n5417 8175\n45811 68662\n17539 26314\n27293 40908\n28235 42328\n43580 65295\n73784 100000\n28315 42448\n74932 100000\n24962 37423\n47256 70867\n26491 39720\n72061 100000\n58736 88109\n30330 45452\n24142 36205\n67280 100000\n85940 100000\n43215 64755\n67693 100000\n88461 100000\n77690 100000\n75032 100000\n27401 41066\n39376 58988\n51240 76881\n88908 100000\n54898 82320\n24928 37371\n992 1490\n24582 36851\n15743 23621\n51034 76570\n47166 70726\n9401 14141\n14757 22145\n130 195\n84196 100000\n70183 100000\n72967 100000\n48475 72692\n85162 100000\n51549 77332\n52015 78029\n7836 11814\n83947 100000\n60399 90614\n73704 100000\n85823 100000\n95229 100000\n26572 39836\n5621 8478\n8519 12830\n42440 63614\n65897 98833\n367 537\n84593 100000\n36986 55463\n24496 36727\n28958 43409\n63635 95469\n72408 100000\n51149 76745\n58469 87710\n85320 100000\n53081 79628\n89121 100000\n76987 100000\n74303 100000\n11146 16782\n83043 100000\n82095 100000\n66795 100000\n48628 72938\n25378 38045\n92683 100000\n41068 61560\n23724 35592\n3556 5336\n54944 82386\n2082 3121\n73502 100000\n52677 79018\n74384 100000\n79215 100000\n26335 39489\n6940 10476\n49588 74379\n37663 56451\n48155 72211\n37299 55927\n16902 25347\n58146 87235\n41930 62848\n197 292\n98219 100000\n24400 36584\n57815 86728\n97168 100000\n48792 73175\n20341 30497\n6622 10001\n74803 100000\n98949 100000\n93978 100000\n52285 78435\n28750 43098\n21133 31684\n38250 57322\n92507 100000\n52351 78533\n947 1422\n89794 100000\n98892 100000\n97304 100000\n55723 83566\n5341 8062\n97886 100000\n48597 72887\n21105 31640\n15483 23233\n5028 7581\n80571 100000\n4143 6221\n65695 98544\n83910 100000\n22832 34259\n48876 73301\n11437 17220\n87219 100000\n52636 78959\n89155 100000\n96750 100000\n213 317\n4052 6081\n48937 73392\n70404 100000\n31105 46628\n65877 98802\n2652 3983\n14076 21123\n95717 100000\n3312 4980\n76254 100000\n61838 92775\n40872 61251\n40570 60789\n35883 53810\n43661 65422\n6575 9932\n31533 47273\n79201 100000\n44267 66331\n39508 59185\n33845 50761\n13099 19699\n36940 55396\n33854 50773\n85911 100000\n25512 38245\n19020 28518\n60433 90668\n66470 99706\n96794 100000\n74628 100000\n9816 14773\n89302 100000\n63684 95543\n55845 83751\n56705 85050\n32553 48829\n32529 48790\n1543 2324\n32703 49048\n23513 35277\n95304 100000\n83264 100000\n2788 4190\n70467 100000\n47390 71065\n86710 100000\n78268 100000\n30567 45823\n22170 33278\n13001 19547\n80069 100000\n9331 14036\n74099 100000\n64123 96206\n53269 79908\n9675 14552\n59724 89611\n80251 100000\n15084 22633\n67049 100000\n19418 29112\n48864 73283\n58549 87829\n93234 100000\n16642 24971\n5169 7800\n33491 50235\n92577 100000\n94056 100000\n79226 100000\n61221 91853\n76965 100000\n99841 100000\n54718 82056\n71668 100000\n36416 54614\n14422 21649\n80953 100000\n28482 42698\n16832 25241\n97269 100000\n24525 36766\n36596 54886\n94575 100000\n53321 79981\n13557 20359\n7809 11771\n72432 100000\n2180 3266\n65254 97883\n25371 38033\n47502 71242\n69179 100000\n9679 14556\n94420 100000\n55625 83421\n38595 57840\n14849 22280\n81961 100000\n49119 73656\n64930 97405\n79493 100000\n17997 26983\n14056 21097\n29175 43741\n62883 94348\n86498 100000\n33916 50857\n78697 100000\n83946 100000\n72335 100000\n21009 31494\n74282 100000\n41432 62095\n94655 100000\n84944 100000\n13516 20296\n7284 10980\n86541 100000\n67054 100000\n73018 100000\n3238 4865\n19443 29149\n97306 100000\n9428 14182\n79259 100000\n14635 21964\n77583 100000\n53106 79667\n39132 58620\n49419 74115\n36001 53988\n35942 53899\n34080 51110\n84978 100000\n51964 77946\n82374 100000\n64641 96976\n26068 39092\n25850 38763\n35163 52734\n58942 88413\n27992 41974\n69521 100000\n50629 75935\n29389 44062\n96323 100000\n93411 100000\n76701 100000\n6779 10238\n59023 88534\n61870 92824\n88613 100000\n67152 100000\n67239 100000\n76823 100000\n87842 100000\n58721 88086\n64333 96519\n79373 100000\n85718 100000\n80189 100000\n9257 13924\n39915 59810\n40036 59993\n2395 3597\n10683 16089\n24615 36900\n30602 45873\n16796 25192\n2366 3556\n20860 31269\n53580 80384\n37840 56714\n12531 18857\n17099 25653\n35478 53202\n12775 19223\n30306 45418\n18233 27320\n36378 54554\n47066 70579\n74368 100000\n35036 52545\n49779 74663\n36972 55444\n85494 100000\n17195 25797\n27607 41387\n78670 100000\n58729 88099\n24858 37268\n35742 53601\n30962 46419\n85022 100000\n59289 88946\n70417 100000\n53083 79631\n53838 80769\n75846 100000\n6728 10164\n21476 32202\n43146 64647\n52204 78317\n97743 100000\n21156 31718\n86843 100000\n52242 78371\n18179 27245\n18761 28128\n18485 27702\n23556 35336\n36114 54157\n62087 93146\n78773 100000\n90389 100000\n29024 43515\n89885 100000\n65678 98518\n49617 74426\n83665 100000\n92124 100000\n80690 100000\n76764 100000\n65028 97552\n36124 54173\n85663 100000\n3655 5487\n10776 16229\n78082 100000\n85540 100000\n70932 100000\n85792 100000\n54003 81015\n20720 31070\n40074 60051\n48316 72457\n59307 88976\n47012 70506\n48146 72197\n74540 100000\n9635 14494\n90247 100000\n54483 81718\n68234 100000\n74267 100000\n35734 53587\n5829 8791\n51591 77398\n23247 34881\n14410 21631\n66869 100000\n48256 72369\n55023 82502\n48562 72832\n44223 66259\n79445 100000\n78844 100000\n66180 99268\n14926 22393\n31219 46798\n36379 54555\n56375 84548\n71687 100000\n91841 100000\n18028 27032\n18939 28389\n99655 100000\n19794 29680\n67771 100000\n569 855\n91835 100000\n32386 48565\n28189 42258\n78744 100000\n39236 58784\n89314 100000\n65901 98839\n25075 37598\n85328 100000\n49490 74225\n88013 100000\n49254 73862\n33449 50174\n40244 60305\n94282 100000\n87636 100000\n13736 20625\n44053 66008\n73408 100000\n44032 65977\n43950 65853\n12428 18701\n27778 41638\n77585 100000\n57839 86766\n38340 57455\n19796 29683\n20437 30640\n77620 100000\n82787 100000\n20631 30944\n44959 67369\n63825 95759\n50191 75277\n29780 44654\n757 1133\n1965 2941\n60744 91126\n67454 100000\n87633 100000\n57630 86459\n93613 100000\n95076 100000\n87312 100000\n97387 100000\n97778 100000\n12700 19115\n66074 99110\n38872 58242\n42903 64278\n49827 74729\n28138 42183\n306 448\n6425 9703\n49292 73922\n43783 65600\n10506 15819\n56075 84094\n83388 100000\n82048 100000\n98554 100000\n76507 100000\n5234 7894\n71396 100000\n22069 33121\n46774 70141\n39790 59621\n57687 86544\n56070 84087\n25565 38325\n82763 100000\n46300 69420\n4431 6669\n22009 33031\n87080 100000\n85176 100000\n55029 82511\n94727 100000\n31186 46750\n27712 41543\n64428 96660\n50253 75367\n27022 40502\n97929 100000\n86344 100000\n25950 38915\n18744 28103\n22544 33830\n34733 52100\n88295 100000\n93228 100000\n10011 15082\n27653 41455\n14908 22365\n10468 15763\n76366 100000\n95187 100000\n499 746\n71412 100000\n94664 100000\n19385 29062\n49646 74468\n70998 100000\n38157 57178\n39530 59220\n99596 100000\n8635 13003\n58217 87343\n6018 9090\n42938 64332\n81428 100000\n88719 100000\n61350 92048\n27775 41635\n34047 51061\n61133 91721\n65195 97798\n91574 100000\n50489 75727\n59714 89594\n47312 70948\n54843 82241\n96049 100000\n99623 100000\n60885 91344\n46519 69753\n72328 100000\n32091 48125\n63551 95347\n11106 16725\n49793 74681\n43489 65159\n88162 100000\n82992 100000\n30579 45841\n4440 6685\n3915 5881\n21513 32258\n10461 15750\n80253 100000\n20532 30788\n91917 100000\n46088 69090\n66245 99358\n7808 11770\n86164 100000\n32603 48899\n39809 59649\n88280 100000\n45880 68765\n91642 100000\n58137 87223\n87663 100000\n52786 79174\n64724 97102\n79088 100000\n11299 17014\n867 1302\n48664 72986\n90894 100000\n14334 21520\n65171 97764\n54387 81583\n84890 100000\n46212 69276\n77659 100000\n32632 48942\n11267 16966\n59740 89635\n26411 39608\n73548 100000\n88587 100000\n637 953\n30107 45133\n60325 90506\n15211 22832\n9726 14633\n11045 16637\n6505 9827\n40537 60743\n58832 88251\n33095 49650\n8800 13241\n49062 73576\n12140 18275\n70928 100000\n19013 28508\n59611 89439\n77760 100000\n89188 100000\n9303 13994\n58254 87397\n61236 91874\n53713 80582\n22013 33038\n75121 100000\n51244 76887\n68981 100000\n20774 31148\n57271 85919\n68202 100000\n68943 100000\n14706 22067\n60120 90208\n60841 91273\n41655 62438\n55112 82640\n23807 35711\n32997 49497\n65325 97983\n5135 7745\n96006 100000\n26409 39605\n89508 100000\n9375 14099\n41784 62629\n44151 66155\n89067 100000\n30387 45534\n28925 43365\n33066 49605\n57142 85724\n37549 56288\n70368 100000\n1022 1536\n99108 100000\n84576 100000\n1474 2219\n59408 89124\n93683 100000\n44802 67137\n97873 100000\n66218 99321\n41895 62799\n72127 100000\n6690 10107\n61480 92240\n72797 100000\n94694 100000\n13512 20291\n25522 38259\n54794 82164\n80697 100000\n45756 68583\n11743 17671\n89278 100000\n28058 42073\n2074 3108\n43190 64716\n50164 75234\n24644 36946\n41155 61684\n96032 100000\n46616 69898\n75150 100000\n60365 90564\n26982 40441\n37955 56881\n60696 91063\n1835 2749\n61227 91862\n22332 33521\n72652 100000\n54626 81921\n91591 100000\n31857 47765\n70054 100000\n34231 51332\n58204 87321\n78091 100000\n80021 100000\n47249 70855\n93859 100000\n7481 11275\n71632 100000\n59533 89318\n28263 42372\n54500 81743\n15780 23677\n77992 100000\n75470 100000\n88435 100000\n10435 15716\n98640 100000\n82514 100000\n5767 8696\n92042 100000\n12142 18278\n27468 41169\n37582 56337\n7877 11874\n65400 98100\n17737 26605\n51720 77591\n81193 100000\n82107 100000\n9808 14762\n70176 100000\n66219 99322\n55125 82661\n27506 41230\n3862 5795\n44891 67266\n81999 100000\n97619 100000\n46336 69477\n13116 19723\n28271 42383\n641 960\n28511 42744\n60795 91197\n3671 5514\n24260 36378\n13185 19821\n54098 81158\n85650 100000\n22205 33334\n31587 47354\n42195 63246\n22302 33478\n32909 49357\n27101 40623\n27749 41597\n96627 100000\n59286 88943\n45414 68053\n26211 39307\n60640 90976\n44529 66735\n98684 100000\n84835 100000\n96631 100000\n60842 91275\n31539 47282\n54268 81409\n80974 100000\n33259 49884\n82941 100000\n19541 29299\n24056 36078\n34858 52282\n38528 57741\n55214 82787\n12011 18076\n78356 100000\n25114 37658\n74321 100000\n87480 100000\n17904 26856\n60080 90147\n46815 70205\n92372 100000\n99106 100000\n73061 100000\n11954 17990\n74001 100000\n81328 100000\n47979 71947\n24545 36796\n70716 100000\n64918 97386\n55022 82500\n89082 100000\n82677 100000\n46506 69732\n5131 7739\n46133 69156\n39172 58684\n55713 83552\n80090 100000\n63103 94692\n31653 47456\n51362 77064\n96403 100000\n33551 50320\n38431 57594\n3224 4844\n17303 25962\n83627 100000\n5285 7976\n3806 5710\n67120 100000\n57685 86541\n86059 100000\n17128 25698\n13369 20090\n91957 100000\n99896 100000\n16474 24724\n60353 90548\n8530 12847\n86615 100000\n83521 100000\n97068 100000\n21815 32733\n26408 39604\n76966 100000\n70641 100000\n94631 100000\n25854 38768\n65134 97710\n10471 15766\n17260 25894\n88246 100000\n93385 100000\n58153 87245\n35121 52666\n46260 69358\n78208 100000\n90882 100000\n11821 17779\n9210 13852\n94506 100000\n6726 10161\n55553 83314\n10694 16105\n11669 17561\n35947 53907\n86096 100000\n98740 100000\n56692 85034\n66449 99674\n72799 100000\n23001 34514\n96533 100000\n19819 29718\n95659 100000\n68167 100000\n9965 15011\n30858 46262\n65569 98352\n22806 34220\n2122 3184\n34261 51376\n1642 2465\n55438 83141\n53386 80073\n34667 52000\n72091 100000\n50449 75664\n21974 32975\n20743 31104\n98899 100000\n90412 100000\n99184 100000\n1548 2330\n93435 100000\n45126 67620\n97657 100000\n75378 100000\n52361 78546\n87025 100000\n82976 100000\n27131 40668\n45746 68568\n85189 100000\n906 1358\n43791 65613\n8910 13406\n6296 9512\n23157 34742\n6663 10065\n28815 43194\n57008 85517\n40530 60731\n22367 33571\n50903 76369\n51419 77143\n10049 15143\n56976 85467\n84108 100000\n55497 83233\n34182 51258\n1137 1715\n97644 100000\n37574 56327\n91106 100000\n28876 43292\n90639 100000\n80358 100000\n71223 100000\n11785 17725\n26749 40099\n49174 73738\n20747 31111\n81517 100000\n19939 29900\n80732 100000\n45878 68762\n73871 100000\n17057 25591\n17374 26065\n25517 38252\n39297 58870\n29517 44260\n72926 100000\n7568 11406\n56473 84700\n38146 57162\n54583 81858\n44181 66202\n3778 5667\n65328 97988\n9913 14924\n21497 32232\n17683 26528\n92804 100000\n77189 100000\n37747 56574\n54386 81582\n80371 100000\n94541 100000\n92451 100000\n46350 69499\n8681 13070\n43214 64754\n47694 71531\n35644 53452\n65471 98207\n36445 54656\n9849 14822\n99359 100000\n34097 51133\n78446 100000\n45994 68944\n435 644\n86462 100000\n81348 100000\n21295 31922\n18300 27422\n59041 88564\n46670 69976\n55989 83968\n80853 100000\n71549 100000\n35421 53121\n80040 100000\n30561 45812\n47796 71683\n42797 64124\n21687 32531\n32193 48275\n73285 100000\n29101 43626\n65909 98850\n64377 96585\n50652 75968\n72331 100000\n17734 26601\n31150 46694\n29943 44895\n13146 19763\n19805 29696\n18502 27727\n61952 92943\n72529 100000\n19795 29682\n70375 100000\n59589 89404\n66052 99074\n98074 100000\n67563 100000\n84533 100000\n10854 16349\n73586 100000\n44194 66222\n87533 100000\n30044 45042\n31820 47711\n43112 64600\n47525 71272\n34763 52145\n79388 100000\n56376 84550\n44700 66989\n57282 85935\n70070 100000\n96381 100000\n18289 27405\n16776 25161\n78527 100000\n54167 81257\n72714 100000\n10779 16233\n97321 100000\n2661 3996\n78624 100000\n26521 39763\n7293 10994\n70630 100000\n24416 36606\n19366 29032\n71535 100000\n89308 100000\n93170 100000\n53629 80459\n79867 100000\n36520 54773\n32548 48821\n91346 100000\n41499 62198\n29979 44946\n7789 11740\n14947 22426\n72819 100000\n34145 51204\n75556 100000\n36600 54893\n34248 51358\n56793 85190\n87228 100000\n28055 42069\n74675 100000\n14592 21901\n5203 7850\n55892 83823\n38364 57492\n85813 100000\n93203 100000\n53674 80525\n35576 53350\n27853 41757\n34165 51237\n83195 100000\n99238 100000\n22201 33327\n30931 46376\n17920 26876\n40490 60669\n40413 60561\n8594 12943\n69061 100000\n32023 48023\n77896 100000\n54913 82344\n5309 8013\n75051 100000\n17652 26481\n45729 68544\n36930 55382\n96305 100000\n38444 57615\n31352 47001\n24832 37229\n88672 100000\n59362 89060\n89242 100000\n51129 76714\n68873 100000\n42905 64280\n64040 96081\n62845 94290\n13429 20181\n69938 100000\n40122 60125\n65692 98539\n42282 63378\n76468 100000\n82652 100000\n69379 100000\n84351 100000\n48114 72148\n13968 20967\n33797 50686\n56053 84066\n98732 100000\n20545 30811\n38966 58385\n54701 82032\n56316 84464\n27472 41176\n39033 58481\n75901 100000\n24918 37357\n7399 11150\n19097 28638\n58610 87920\n41724 62540\n29574 44342\n50083 75112\n90072 100000\n23997 35991\n97977 100000\n32960 49438\n2940 4423\n41531 62249\n36532 54793\n98573 100000\n59791 89712\n84872 100000\n91824 100000\n31766 47625\n14723 22091\n32457 48676\n44509 66701\n17402 26108\n7856 11842\n79358 100000\n18127 27170\n43870 65732\n36673 54996\n62769 94168\n23327 35004\n89481 100000\n49628 74441\n48831 73231\n2580 3879\n64505 96772\n78936 100000\n47836 71742\n84118 100000\n77407 100000\n88641 100000\n48867 73288\n74795 100000\n89748 100000\n71860 100000\n28155 42211\n84075 100000\n46801 70184\n45568 68285\n22975 34478\n46235 69315\n96393 100000\n87863 100000\n90973 100000\n72743 100000\n87881 100000\n82283 100000\n51524 77294\n1172 1768\n83931 100000\n99580 100000\n80565 100000\n7204 10860\n40349 60465\n71034 100000\n87562 100000\n8505 12806\n36105 54141\n25996 38985\n61597 92415\n25187 37763\n68068 100000\n79337 100000\n93398 100000\n95246 100000\n72454 100000\n56570 84849\n39755 59564\n94723 100000\n73723 100000\n9577 14406\n81127 100000\n58491 87743\n32197 48281\n6263 9456\n34180 51255\n39892 59777\n84478 100000\n98605 100000\n36959 55423\n92780 100000\n84148 100000\n13639 20477\n66887 100000\n24210 36305\n41698 62502\n57891 86841\n10217 15394\n5900 8908\n20863 31273\n3056 4594\n75227 100000\n74820 100000\n92680 100000\n20241 30358\n77734 100000\n47169 70732\n78231 100000\n80682 100000\n36635 54945\n16493 24753\n55772 83640\n46676 69985\n54069 81117\n88129 100000\n15895 23847\n28795 43163\n20932 31378\n99710 100000\n99635 100000\n17474 26217\n76252 100000\n43386 65008\n65904 98842\n56867 85303\n97276 100000\n99395 100000\n90029 100000\n36382 54561\n38826 58168\n24876 37295\n26853 40250\n1692 2543\n20737 31095\n55145 82692\n97128 100000\n69525 100000\n12751 19189\n63920 95906\n26748 40098\n85105 100000\n29094 43615\n46404 69581\n18109 27145\n42884 64251\n91619 100000\n96782 100000\n83053 100000\n62539 93817\n51018 76549\n92465 100000\n24507 36741\n64951 97435\n58471 87713\n42427 63595\n38541 57759\n9847 14819\n50184 75266\n75779 100000\n93325 100000\n17515 26277\n67182 100000\n73270 100000\n36058 54067\n87334 100000\n42149 63181\n84666 100000\n77565 100000\n32585 48872\n67465 100000\n97336 100000\n68439 100000\n93138 100000\n64529 96811\n91361 100000\n62644 93985\n56403 84591\n33684 50519\n99420 100000\n52948 79417\n15338 23022\n27483 41193\n55120 82654\n57889 86838\n27100 40621\n22068 33120\n41932 62851\n38350 57470\n98767 100000\n22652 33986\n81382 100000\n46498 69721\n84622 100000\n18989 28472\n60162 90272\n14949 22429\n74204 100000\n68827 100000\n47121 70659\n55375 83046\n95638 100000\n21821 32741\n99820 100000\n8355 12570\n61153 91751\n50843 76274\n97412 100000\n40187 60223\n92885 100000\n59833 89773\n16673 25017\n5891 8892\n37440 56126\n60492 90758\n54066 81114\n96468 100000\n94809 100000\n47584 71361\n26943 40385\n17809 26716\n45889 68780\n47444 71148\n77491 100000\n93551 100000\n12444 18725\n6393 9658\n18709 28051\n79968 100000\n1790 2682\n44622 66873\n95560 100000\n2801 4209\n91200 100000\n12439 18718\n74414 100000\n76491 100000\n53809 80724\n75442 100000\n41217 61773\n51989 77986\n56301 84443\n92778 100000\n73960 100000\n76521 100000\n8650 13024\n84793 100000\n45675 68462\n4522 6798\n38299 57397\n80591 100000\n73433 100000\n80081 100000\n94593 100000\n41310 61905\n45108 67591\n55758 83618\n95683 100000\n61509 92286\n25904 38843\n45250 67807\n21163 31728\n11991 18045\n75561 100000\n3033 4559\n93230 100000\n10181 15340\n69562 100000\n69937 100000\n99586 100000\n23129 34703\n46409 69590\n28188 42256\n933 1401\n5412 8165\n81196 100000\n40077 60056\n76951 100000\n19247 28858\n72098 100000\n7058 10645\n57666 86511\n9237 13894\n94129 100000\n65093 97645\n92184 100000\n53098 79654\n74478 100000\n42387 63535\n27274 40880\n95065 100000\n72368 100000\n88181 100000\n6947 10486\n88795 100000\n65168 97759\n65953 98919\n87442 100000\n45838 68703\n43461 65122\n66518 99779\n78135 100000\n19583 29362\n31142 46682\n28963 43418\n42915 64300\n15022 22538\n74688 100000\n34954 52428\n463 689\n31327 46964\n12422 18693\n49478 74205\n46701 70027\n90984 100000\n9857 14834\n26439 39646\n99440 100000\n8398 12642\n33930 50878\n33747 50614\n79559 100000\n36562 54835\n52411 78624\n9625 14477\n80477 100000\n44725 67021\n12754 19193\n8394 12634\n34084 51115\n23305 34970\n1238 1863\n17509 26267\n87511 100000\n18115 27154\n92585 100000\n35628 53431\n33933 50883\n12664 19059\n43598 65325\n63940 95933\n97230 100000\n74829 100000\n20948 31404\n92712 100000\n92615 100000\n61271 91922\n70129 100000\n77078 100000\n72109 100000\n76037 100000\n13335 20039\n21668 32501\n61930 92912\n78042 100000\n83427 100000\n87839 100000\n72053 100000\n81330 100000\n71337 100000\n33566 50343\n8739 13152\n91392 100000\n60985 91496\n70049 100000\n13068 19649\n69138 100000\n40240 60300\n56413 84607\n42338 63460\n94414 100000\n51450 77186\n85872 100000\n63561 95361\n36077 54097\n5969 9017\n82838 100000\n72600 100000\n49295 73927\n98955 100000\n94513 100000\n16224 24347\n24287 36420\n34008 51000\n95293 100000\n12937 19447\n28764 43118\n73607 100000\n81091 100000\n7174 10813\n22119 33197\n73538 100000\n83473 100000\n32653 48974\n30010 44993\n63644 95482\n81637 100000\n13003 19550\n78797 100000\n63988 96006\n79917 100000\n68569 100000\n78847 100000\n63754 95652\n6407 9677\n88100 100000\n39949 59866\n11899 17902\n33284 49924\n44594 66835\n82401 100000\n92004 100000\n76367 100000\n37936 56851\n55081 82592\n20056 30081\n39552 59253\n89010 100000\n46749 70103\n2062 3090\n15879 23820\n48632 72942\n14403 21619\n38672 57945\n59789 89708\n46172 69216\n17216 25828\n21868 32816\n8400 12645\n31116 46646\n31450 47154\n99530 100000\n38674 57948\n98055 100000\n2490 3738\n4310 6480\n49885 74816\n62363 93559\n80181 100000\n32490 48727\n21151 31708\n33043 49568\n37171 55729\n55603 83386\n43892 65768\n36703 55041\n12480 18782\n98010 100000\n78616 100000\n65925 98876\n96941 100000\n99495 100000\n25056 37571\n23128 34702\n79251 100000\n37667 56458\n53930 80905\n17645 26470\n15513 23281\n57981 86985\n75526 100000\n8955 13472\n96315 100000\n4660 7015\n50154 75218\n48920 73369\n20297 30441\n39282 58845\n51522 77291\n32221 48315\n91558 100000\n50850 76284\n49139 73686\n76984 100000\n73486 100000\n14725 22093\n30612 45888\n50535 75795\n26514 39750\n55839 83742\n58332 87515\n45271 67837\n30944 46396\n54823 82208\n97772 100000\n21980 32985\n64408 96630\n63483 95250\n43454 65111\n59096 88651\n62665 94014\n83469 100000\n39952 59870\n68330 100000\n27321 40948\n28813 43190\n38139 57153\n4613 6939\n63921 95907\n38964 58381\n73300 100000\n12967 19495\n49991 74978\n89257 100000\n836 1255\n29823 44714\n47884 71814\n33534 50297\n51877 77817\n98503 100000\n24341 36499\n2431 3649\n62827 94263\n23736 35611\n68412 100000\n20069 30099\n6697 10116\n5387 8131\n33263 49890\n57429 86157\n44473 66647\n97125 100000\n54780 82145\n6190 9347\n88877 100000\n56931 85396\n58281 87439\n68738 100000\n6966 10514\n3632 5455\n4095 6148\n87605 100000\n97366 100000\n24829 37224\n54986 82444\n30783 46148\n86727 100000\n56439 84644\n22472 33729\n64443 96683\n31490 47211\n25986 38972\n45770 68603\n86866 100000\n17287 25935\n17837 26758\n95115 100000\n69597 100000\n16966 25447\n99946 100000\n36590 54876\n98083 100000\n68691 100000\n1657 2490\n14173 21270\n4096 6150\n41165 61697\n7900 11910\n12558 18900\n58728 88097\n68303 100000\n75345 100000\n38805 58137\n20938 31388\n8233 12389\n32549 48823\n57267 85912\n75037 100000\n50898 76363\n24663 36975\n99948 100000\n54560 81824\n30773 46131\n63576 95383\n82973 100000\n94623 100000\n87470 100000\n18337 27479\n86144 100000\n76182 100000\n90683 100000\n36648 54963\n34384 51569\n2075 3110\n29749 44610\n28551 42801\n92957 100000\n74419 100000\n72861 100000\n33048 49575\n53601 80415\n644 964\n73036 100000\n44110 66098\n20496 30734\n33708 50555\n86933 100000\n79969 100000\n68019 100000\n30847 46245\n36931 55383\n10281 15487\n17694 26544\n29508 44245\n21397 32084\n28153 42208\n33887 50818\n50664 75987\n13547 20345\n19686 29518\n54318 81486\n54241 81367\n85439 100000\n5970 9019\n64659 97001\n8311 12504\n10153 15297\n50035 75044\n71751 100000\n71264 100000\n91720 100000\n42132 63154\n69651 100000\n59651 89499\n6655 10051\n76774 100000\n61351 92050\n99182 100000\n87768 100000\n46826 70220\n59052 88582\n65603 98406\n31066 46571\n68056 100000\n49327 73976\n64589 96896\n37315 55950\n17688 26535\n12208 18378\n95670 100000\n54074 81126\n17507 26265\n25778 38654\n31507 47238\n5928 8950\n57132 85710\n78687 100000\n82857 100000\n55097 82618\n22207 33337\n11503 17318\n20702 31041\n50004 74999\n48303 72435\n12609 18973\n1846 2764\n1712 2570\n75161 100000\n19744 29609\n26771 40132\n38323 57433\n10590 15948\n13161 19787\n11004 16574\n33874 50800\n11412 17181\n8152 12275\n94413 100000\n59083 88628\n92917 100000\n30733 46071\n81076 100000\n58091 87153\n49712 74568\n69032 100000\n27737 41577\n55372 83042\n59019 88529\n67696 100000\n47086 70608\n10750 16192\n10881 16386\n43354 64963\n66658 99993\n42995 64417\n61445 92189\n85658 100000\n59156 88740\n82164 100000\n65765 98640\n31810 47697\n4035 6055\n15449 23184\n85627 100000\n90142 100000\n8338 12544\n5080 7660\n83076 100000\n57338 86020\n30308 45422\n52390 78589\n91195 100000\n65006 97519\n14550 21840\n63772 95679\n46151 69183\n64217 96340\n89937 100000\n12582 18937\n11994 18049\n9451 14218\n64985 97487\n34494 51733\n61012 91536\n21106 31641\n82359 100000\n98815 100000\n72618 100000\n47296 70924\n57168 85762\n37595 56354\n51523 77293\n73700 100000\n3087 4640\n58202 87319\n40171 60199\n49453 74167\n60405 90625\n26092 39135\n15978 23971\n38605 57855\n84392 100000\n58774 88164\n80910 100000\n18927 28371\n41192 61734\n21232 31830\n69174 100000\n19370 29038\n17715 26574\n63040 94592\n34436 51642\n69318 100000\n8985 13518\n71634 100000\n73613 100000\n22108 33181\n89266 100000\n88523 100000\n5167 7797\n72536 100000\n92737 100000\n98456 100000\n86959 100000\n23361 35054\n10001 15068\n96387 100000\n28331 42471\n58013 87035\n99382 100000\n10743 16182\n41867 62754\n222 329\n31072 46580\n58389 87592\n28325 42463\n49971 74947\n87475 100000\n38585 57827\n98962 100000\n52009 78019\n26621 39909\n65817 98716\n57841 86770\n21541 32298\n3629 5451\n38639 57901\n51010 76538\n20836 31234\n28002 41990\n58825 88239\n19188 28775\n35451 53161\n92457 100000\n24422 36617\n19140 28701\n99964 100000\n16789 25181\n3397 5105\n35026 52530\n11216 16889\n19219 28820\n84270 100000\n99572 100000\n23029 34555\n37608 56370\n19561 29329\n20864 31274\n87222 100000\n65144 97723\n28009 42001\n40180 60212\n44203 66235\n5424 8188\n5215 7866\n94252 100000\n80772 100000\n72517 100000\n25711 38555\n88321 100000\n2391 3590\n37533 56262\n88287 100000\n98064 100000\n68718 100000\n79189 100000\n75639 100000\n73144 100000\n19166 28741\n73151 100000\n53978 80975\n43224 64770\n98040 100000\n14546 21832\n25402 38084\n42051 63030\n8145 12263\n68489 100000\n82432 100000\n1817 2720\n19582 29360\n40224 60275\n54369 81560\n10332 15564\n16258 24396\n2329 3502\n8873 13348\n59101 88659\n17936 26899\n15803 23710\n13197 19838\n64079 96138\n16023 24041\n75619 100000\n25464 38174\n42992 64414\n8657 13033\n39942 59855\n56209 84303\n32993 49489\n10172 15327\n40606 60844\n79009 100000\n83259 100000\n8354 12568\n31441 47141\n37187 55753\n98332 100000\n36890 55323\n66988 100000\n75504 100000\n80905 100000\n94327 100000\n89451 100000\n80811 100000\n77493 100000\n25836 38745\n42571 63801\n88005 100000\n6128 9251\n80717 100000\n2220 3328\n48853 73265\n77787 100000\n50355 75520\n52324 78493\n98297 100000\n73676 100000\n72700 100000\n20853 31259\n78713 100000\n19159 28729\n71525 100000\n45373 67994\n79901 100000\n4289 6451\n26679 40000\n5366 8099\n35908 53844\n46166 69207\n56078 84098\n99881 100000\n63859 95811\n12618 18987\n21805 32715\n84562 100000\n83949 100000\n83835 100000\n53383 80069\n47151 70705\n40665 60933\n7755 11691\n69498 100000\n12216 18390\n71273 100000\n76013 100000\n94415 100000\n23620 35435\n4224 6347\n94918 100000\n73162 100000\n27116 40645\n80709 100000\n43924 65816\n13032 19596\n13401 20137\n87016 100000\n86003 100000\n6160 9301\n97094 100000\n77741 100000\n79753 100000\n37385 56052\n7583 11427\n17036 25560\n82583 100000\n47942 71898\n88323 100000\n60722 91099\n20145 30213\n34823 52233\n84782 100000\n55362 83024\n1035 1554\n53670 80519\n6832 10317\n6508 9833\n78050 100000\n99188 100000\n10528 15848\n87175 100000\n22919 34390\n66010 99013\n53900 80859\n16698 25055\n438 648\n93383 100000\n60809 91217\n68494 100000\n69055 100000\n19599 29386\n30970 46430\n42941 64336\n44545 66763\n11963 18004\n81208 100000\n68097 100000\n32641 48954\n31697 47522\n79575 100000\n28786 43146\n68400 100000\n60628 90957\n97015 100000\n14866 22302\n6869 10374\n22990 34498\n93436 100000\n31621 47409\n13384 20113\n67858 100000\n83106 100000\n19685 29516\n29516 44258\n17080 25626\n66324 99487\n7980 12026\n64345 96537\n19842 29751\n77501 100000\n54227 81346\n31510 47241\n21571 32341\n96419 100000\n80301 100000\n98245 100000\n84766 100000\n34155 51219\n88780 100000\n55840 83743\n64453 96698\n53495 80247\n97079 100000\n90053 100000\n30296 45402\n17643 26466\n1849 2769\n18919 28357\n72738 100000\n18806 28191\n54174 81268\n4324 6503\n79981 100000\n91631 100000\n96108 100000\n44176 66194\n6082 9186\n6520 9852\n50307 75449\n24722 37063\n68058 100000\n78551 100000\n80103 100000\n89677 100000\n35638 53446\n60044 90092\n80035 100000\n90352 100000\n75226 100000\n38813 58149\n93742 100000\n61782 92690\n61523 92306\n85929 100000\n26012 39009\n54490 81727\n36120 54167\n75622 100000\n83651 100000\n43219 64762\n4626 6961\n22746 34126\n27740 41583\n98656 100000\n38935 58335\n37789 56637\n80438 100000\n55587 83365\n94897 100000\n5750 8668\n28820 43202\n92833 100000\n25376 38042\n27473 41178\n42847 64198\n6878 10387\n56822 85232\n94813 100000\n22553 33846\n99781 100000\n66005 99004\n67526 100000\n17780 26672\n69364 100000\n48124 72164\n63309 94989\n57322 85998\n17253 25884\n4733 7128\n54168 81258\n4162 6250\n96659 100000\n80978 100000\n93477 100000\n55993 83973\n37356 56006\n28301 42425\n58039 87075\n81789 100000\n8188 12327\n95108 100000\n50869 76315\n76991 100000\n56185 84267\n86601 100000\n12364 18607\n57648 86484\n89635 100000\n27121 40654\n7099 10700\n50536 75797\n94419 100000\n72429 100000\n79218 100000\n4335 6522\n57248 85883\n60165 90277\n15805 23713\n52649 78976\n30608 45882\n98837 100000\n39147 58643\n79973 100000\n38565 57795\n92059 100000\n93483 100000\n282 414\n57549 86339\n8184 12322\n89560 100000\n83009 100000\n22360 33559\n9205 13846\n70936 100000\n16404 24622\n83329 100000\n9315 14014\n6821 10298\n18133 27178\n58676 88020\n57953 86942\n71565 100000\n89669 100000\n44879 67251\n93178 100000\n54574 81847\n63566 95368\n25645 38452\n28242 42338\n79413 100000\n19618 29418\n60580 90892\n41736 62560\n51970 77955\n80325 100000\n60663 91010\n3297 4958\n99720 100000\n59360 89058\n10485 15789\n27381 41037\n11162 16809\n46851 70261\n82871 100000\n36351 54513\n32713 49063\n32765 49142\n33589 50376\n49742 74609\n49901 74841\n62958 94468\n77867 100000\n79530 100000\n4315 6490\n26269 39395\n97300 100000\n18969 28441\n90787 100000\n15560 23354\n81387 100000\n62256 93397\n76471 100000\n72800 100000\n42341 63464\n4902 7389\n91882 100000\n64049 96096\n47261 70873\n60390 90601\n13684 20543\n10006 15075\n33737 50598\n77040 100000\n57452 86193\n39334 58925\n26825 40209\n20912 31349\n14853 22284\n91109 100000\n20972 31438\n65673 98509\n66476 99715\n95724 100000\n74963 100000\n70288 100000\n60401 90617\n95184 100000\n88531 100000\n63623 95455\n96276 100000\n83893 100000\n46559 69816\n62733 94115\n81143 100000\n35985 53964\n35997 53982\n63165 94789\n69383 100000\n31855 47763\n96555 100000\n67171 100000\n35465 53185\n73293 100000\n3622 5439\n95114 100000\n22515 33787\n23304 34969\n29579 44347\n37069 55582\n10937 16470\n22177 33289\n14528 21806\n40446 60608\n7356 11087\n11328 17054\n10136 15275\n84695 100000\n55148 82698\n6002 9069\n59650 89497\n81307 100000\n57696 86559\n84606 100000\n99074 100000\n80294 100000\n63203 94844\n59745 89643\n78826 100000\n89610 100000\n65234 97854\n95203 100000\n73532 100000\n44 67\n32013 48007\n79611 100000\n94305 100000\n70779 100000\n98368 100000\n6116 9235\n34233 51335\n3744 5619\n89491 100000\n67202 100000\n75818 100000\n72336 100000\n2374 3568\n80599 100000\n19438 29140\n88046 100000\n88548 100000\n33847 50763\n92339 100000\n2461 3694\n3186 4785\n34349 51513\n23210 34824\n74853 100000\n18561 27814\n57506 86273\n90781 100000\n8472 12756\n68564 100000\n51258 76905\n29234 43828\n41237 61801\n59697 89567\n72469 100000\n91240 100000\n47055 70564\n62271 93417\n23187 34787\n30618 45897\n54394 81593\n98230 100000\n6648 10041\n9106 13698\n18733 28088\n75783 100000\n71003 100000\n21846 32778\n34918 52371\n10837 16322\n6041 9127\n88658 100000\n20030 30041\n7466 11252\n68559 100000\n19926 29880\n54218 81333\n64360 96560\n33482 50225\n55757 83616\n81024 100000\n64387 96597\n87569 100000\n40836 61196\n42782 64102\n43281 64856\n94128 100000\n81383 100000\n53940 80918\n86330 100000\n26204 39297\n57774 86674\n6055 9147\n67828 100000\n25920 38870\n84167 100000\n42482 63677\n9651 14516\n3544 5319\n78204 100000\n82271 100000\n70764 100000\n52400 78605\n2793 4197\n99104 100000\n49788 74675\n21884 32841\n33389 50079\n97803 100000\n86864 100000\n56299 84439\n67046 100000\n76871 100000\n20699 31037\n10147 15287\n30554 45801\n80656 100000\n91980 100000\n15574 23377\n84781 100000\n55648 83456\n20841 31242\n13969 20969\n87365 100000\n19022 28521\n24538 36787\n26197 39286\n67157 100000\n79601 100000\n99999 100000\n70664 100000\n84063 100000\n68225 100000\n4836 7288\n17054 25587\n40887 61277\n85609 100000\n14984 22483\n23589 35391\n25132 37684\n56229 84335\n55265 82876\n8061 12143\n51899 77849\n11989 18041\n93231 100000\n91842 100000\n82394 100000\n35173 52749\n51871 77808\n11031 16614\n56593 84890\n42346 63473\n98933 100000\n60077 90143\n37885 56778\n30409 45567\n48499 72732\n26451 39662\n32397 48583\n6024 9099\n5895 8899\n29109 43638\n63559 95359\n73991 100000\n79451 100000\n4657 7009\n15547 23332\n6660 10060\n28426 42612\n61964 92963\n23473 35216\n17901 26852\n11190 16850\n64115 96195\n816 1224\n44304 66389\n90484 100000\n20954 31414\n42744 64046\n19217 28818\n5951 8988\n28539 42785\n63734 95620\n84364 100000\n93336 100000\n40394 60532\n98085 100000\n15333 23012\n35998 53984\n10280 15485\n80796 100000\n30139 45177\n69205 100000\n42663 63937\n14812 22227\n33496 50242\n34992 52484\n40645 60903\n48973 73444\n62502 93763\n22337 33527\n14162 21253\n71135 100000\n41862 62745\n91108 100000\n84526 100000\n22681 34030\n54495 81736\n25169 37736\n41457 62132\n84197 100000\n44376 66494\n47375 71042\n53021 79531\n91089 100000\n79042 100000\n66574 99863\n46626 69914\n5519 8326\n55308 82943\n85876 100000\n61520 92302\n98160 100000\n49854 74769\n2438 3659\n29861 44767\n77153 100000\n29336 43983\n74875 100000\n40989 61436\n5917 8933\n48299 72430\n88774 100000\n27722 41558\n30221 45293\n9487 14272\n69302 100000\n66573 99861\n10609 15979\n83787 100000\n68614 100000\n14881 22325\n98863 100000\n51953 77931\n90723 100000\n39156 58660\n49360 74028\n85502 100000\n69982 100000\n8267 12438\n94733 100000\n45273 67841\n74647 100000\n94022 100000\n67348 100000\n20735 31092\n55288 82911\n15925 23889\n82451 100000\n87791 100000\n87187 100000\n14552 21842\n59867 89823\n28776 43132\n5481 8269\n4649 6997\n67534 100000\n82288 100000\n90227 100000\n39268 58829\n16025 24044\n35280 52911\n33455 50183\n53539 80315\n69943 100000\n50612 75910\n55376 83047\n19790 29674\n8862 13332\n45516 68206\n9880 14870\n88104 100000\n9901 14904\n67021 100000\n40526 60725\n50257 75373\n72043 100000\n33322 49974\n14052 21091\n41282 61867\n56739 85103\n7825 11795\n40221 60271\n61559 92363\n52308 78468\n21916 32889\n39987 59925\n16320 24499\n36131 54182\n12620 18991\n78295 100000\n92126 100000\n86579 100000\n43378 64996\n90814 100000\n26166 39243\n74572 100000\n84135 100000\n63959 95964\n18917 28354\n80075 100000\n28802 43174\n5612 8464\n37354 56003\n90162 100000\n24554 36810\n90486 100000\n57065 85604\n61398 92120\n53315 79973\n84865 100000\n25816 38713\n64946 97427\n52575 78868\n82206 100000\n81579 100000\n15659 23504\n64362 96563\n55280 82899\n60055 90109\n42303 63407\n694 1033\n78368 100000\n74577 100000\n27112 40641\n63737 95625\n59794 89716\n76385 100000\n37829 56696\n63539 95332\n49791 74679\n12289 18499\n42996 64418\n74454 100000\n17278 25920\n81516 100000\n47013 70508\n58298 87466\n39962 59884\n10010 15081\n72147 100000\n12232 18414\n10927 16458\n49910 74853\n60923 91400\n10795 16259\n48953 73416\n4488 6754\n18622 27908\n40790 61129\n63187 94822\n79829 100000\n13412 20155\n61193 91810\n54708 82041\n96388 100000\n66343 99514\n52891 79335\n82575 100000\n93648 100000\n45385 68012\n18088 27117\n60954 91451\n66246 99359\n26262 39387\n63553 95350\n29154 43706\n86991 100000\n175 259\n21538 32292\n29790 44670\n82410 100000\n65343 98015\n93579 100000\n73850 100000\n77450 100000\n49649 74472\n72622 100000\n27752 41600\n84426 100000\n33072 49613\n64221 96346\n74066 100000\n62818 94248\n94648 100000\n67773 100000\n75328 100000\n23626 35444\n75409 100000\n73753 100000\n85303 100000\n35013 52512\n16537 24814\n30975 46437\n87404 100000\n15146 22730\n60515 90793\n12352 18591\n88937 100000\n98537 100000\n83381 100000\n32754 49125\n77005 100000\n18006 26999\n36905 55344\n82863 100000\n96597 100000\n546 820\n99176 100000\n76161 100000\n65335 98000\n41670 62458\n28680 42993\n47664 71486\n42781 64101\n28050 42064\n89976 100000\n45316 67904\n63962 95969\n7879 11877\n86100 100000\n60785 91183\n8361 12581\n79470 100000\n66831 100000\n89622 100000\n64228 96358\n22389 33601\n74589 100000\n63743 95634\n73320 100000\n38094 57085\n29091 43612\n42821 64157\n58681 88028\n42461 63648\n86254 100000\n53550 80333\n65207 97816\n5643 8511\n62580 93884\n68650 100000\n81613 100000\n47455 71165\n39566 59274\n731 1092\n89785 100000\n61640 92475\n30149 45191\n97956 100000\n75074 100000\n37476 56179\n10584 15938\n31552 47304\n29553 44313\n88382 100000\n57366 86067\n37676 56473\n2298 3451\n8876 13352\n80517 100000\n53053 79579\n51320 77000\n35447 53156\n51739 77614\n37684 56483\n67106 100000\n84949 100000\n83605 100000\n99715 100000\n13210 19853\n55143 82690\n98246 100000\n61674 92525\n62270 93416\n47735 71590\n83534 100000\n15690 23548\n94905 100000\n98570 100000\n72812 100000\n27626 41417\n77631 100000\n62538 93815\n18780 28156\n5944 8977\n58773 88163\n36809 55203\n41459 62136\n85736 100000\n88037 100000\n83443 100000\n53899 80858\n20317 30463\n82269 100000\n96901 100000\n74799 100000\n45232 67781\n9020 13572\n59793 89715\n85936 100000\n87610 100000\n84000 100000\n92459 100000\n68593 100000\n37030 55521\n73701 100000\n48955 73419\n59935 89926\n75334 100000\n17650 26478\n99889 100000\n7519 11330\n51671 77518\n6316 9544\n90567 100000\n47374 71041\n96249 100000\n13372 20096\n35642 53450\n49698 74551\n58095 87160\n26413 39611\n4034 6054\n70712 100000\n62046 93082\n48771 73144\n67852 100000\n67759 100000\n59502 89270\n86506 100000\n51746 77625\n83176 100000\n93449 100000\n5441 8209\n232 341\n41885 62783\n3585 5385\n26634 39931\n68624 100000\n99516 100000\n44756 67071\n10932 16464\n67406 100000\n85875 100000\n59396 89109\n31632 47425\n83174 100000\n14215 21332\n78395 100000\n90843 100000\n91474 100000\n87489 100000\n22363 33563\n78557 100000\n60734 91114\n75790 100000\n5084 7665\n21999 33014\n66050 99072\n79188 100000\n65182 97777\n38247 57316\n61982 92990\n25670 38487\n67530 100000\n30167 45217\n49346 74004\n61418 92149\n59852 89803\n5985 9043\n6932 10464\n7214 10872\n4495 6763\n4854 7316\n12348 18587\n20152 30224\n39994 59933\n10756 16202\n97741 100000\n58045 87084\n71265 100000\n35454 53166\n66485 99728\n37335 55976\n50824 76242\n59213 88828\n35667 53487\n11182 16839\n12894 19387\n73108 100000\n78680 100000\n48765 73136\n21956 32949\n33185 49782\n26655 39963\n91970 100000\n73814 100000\n25721 38569\n25596 38376\n4732 7127\n93657 100000\n43645 65397\n21331 31979\n4226 6351\n37353 56001\n47367 71030\n3384 5084\n73975 100000\n79986 100000\n55482 83209\n89732 100000\n59906 89881\n55834 83734\n56615 84923\n48582 72864\n98096 100000\n38131 57141\n42164 63201\n7472 11262\n3704 5561\n67471 100000\n10693 16103\n22475 33733\n14846 22277\n40939 61356\n60107 90187\n23465 35202\n92441 100000\n28071 42089\n75947 100000\n19694 29531\n32680 49013\n6757 10203\n73129 100000\n29344 43995\n96691 100000\n44202 66233\n47370 71036\n44798 67130\n43371 64986\n45062 67523\n81093 100000\n22254 33408\n16559 24847\n43360 64971\n35732 53583\n91796 100000\n90286 100000\n824 1239\n66084 99128\n19 27\n18421 27603\n22573 33874\n34864 52291\n9595 14432\n52621 78939\n60411 90634\n87923 100000\n53325 79986\n4376 6580\n61122 91703\n27883 41803\n97538 100000\n1623 2437\n58550 87831\n22218 33356\n69406 100000\n40748 61060\n54494 81734\n65637 98457\n69021 100000\n16563 24853\n918 1377\n19289 28922\n55076 82584\n7446 11224\n97268 100000\n38649 57912\n1932 2887\n38878 58251\n20795 31177\n8740 13153\n98233 100000\n9329 14034\n51179 76788\n87169 100000\n83778 100000\n68883 100000\n81064 100000\n76762 100000\n43352 64960\n676 1008\n34609 51912\n65626 98440\n70031 100000\n57439 86171\n10187 15351\n40061 60031\n7004 10567\n36469 54694\n62171 93270\n89151 100000\n90439 100000\n25470 38182\n59069 88609\n54488 81724\n14551 21841\n2258 3390\n35066 52589\n31493 47216\n52700 79053\n23025 34549\n36617 54918\n52552 78834\n57157 85744\n44352 66456\n87386 100000\n80872 100000\n60965 91468\n97970 100000\n32283 48413\n96536 100000\n99797 100000\n6774 10230\n54958 82406\n10084 15193\n35691 53520\n96166 100000\n96910 100000\n29712 44548\n12134 18263\n19364 29029\n57888 86837\n55854 83765\n24668 36984\n89404 100000\n28354 42505\n92541 100000\n42567 63795\n70791 100000\n72017 100000\n63377 95089\n44195 66224\n31559 47313\n6630 10014\n66021 99027\n21820 32739\n80003 100000\n557 839\n443 657\n69346 100000\n48945 73403\n31599 47373\n11058 16653\n77251 100000\n95945 100000\n10878 16382\n94520 100000\n90963 100000\n86376 100000\n17449 26177\n3825 5740\n18191 27262\n7192 10842\n87074 100000\n33906 50843\n20263 30391\n44767 67085\n1684 2532\n29277 43897\n88444 100000\n86535 100000\n20103 30151\n20660 30983\n3179 4776\n5472 8256\n2578 3876\n562 845\n24389 36569\n59032 88549\n89272 100000\n45798 68644\n98927 100000\n18971 28445\n2017 3018\n17113 25673\n37846 56722\n53427 80141\n30048 45046\n91831 100000\n54368 81559\n45723 68535\n47984 71954\n16101 24159\n6698 10118\n52934 79398\n35994 53976\n62430 93660\n87745 100000\n88027 100000\n31395 47066\n25782 38661\n26903 40325\n33905 50842\n81642 100000\n49980 74961\n8769 13197\n24209 36304\n69294 100000\n55528 83277\n56472 84699\n15984 23982\n4774 7192\n69509 100000\n98441 100000\n96830 100000\n40058 60026\n35710 53546\n60699 91067\n4857 7321\n97435 100000\n29259 43867\n84482 100000\n39979 59910\n16343 24533\n63729 95612\n36395 54579\n92812 100000\n82830 100000\n22227 33369\n56162 84229\n56232 84338\n83282 100000\n85448 100000\n90561 100000\n3718 5581\n83642 100000\n22446 33697\n39086 58554\n37379 56043\n37005 55488\n2197 3290\n9894 14892\n94558 100000\n35827 53725\n8492 12788\n83083 100000\n36554 54823\n37004 55487\n40766 61091\n62417 93641\n53855 80794\n79438 100000\n35285 52918\n53324 79985\n33627 50433\n95041 100000\n78526 100000\n94992 100000\n53393 80084\n11193 16855\n68405 100000\n49045 73552\n76055 100000\n60581 90893\n60941 91430\n90115 100000\n40910 61314\n41044 61525\n36826 55232\n14618 21939\n68321 100000\n24797 37177\n70223 100000\n64470 96721\n52982 79469\n92057 100000\n63012 94551\n82777 100000\n91850 100000\n50860 76299\n15244 22881\n58575 87869\n59557 89356\n89421 100000\n42371 63511\n81342 100000\n69615 100000\n90056 100000\n73331 100000\n90542 100000\n27380 41036\n60571 90879\n20746 31109\n24491 36720\n89644 100000\n93114 100000\n75924 100000\n25011 37498\n59278 88932\n21148 31703\n78055 100000\n68773 100000\n80014 100000\n98045 100000\n34570 51855\n32894 49336\n77039 100000\n81526 100000\n18765 28132\n95766 100000\n66228 99335\n88467 100000\n84363 100000\n39545 59242\n82339 100000\n93135 100000\n23221 34841\n39227 58772\n12991 19531\n98804 100000\n97377 100000\n35766 53634\n47107 70637\n54661 81973\n22151 33247\n33527 50287\n55279 82897\n58651 87983\n11175 16829\n72318 100000\n80942 100000\n38972 58393\n6419 9694\n31834 47732\n11773 17710\n17708 26564\n24883 37307\n92895 100000\n4033 6053\n34890 52328\n62366 93565\n64791 97192\n64289 96452\n28835 43228\n19892 29829\n24950 37404\n18821 28214\n88602 100000\n93283 100000\n86644 100000\n55537 83291\n40830 61187\n35314 52956\n89485 100000\n74878 100000\n48756 73123\n33861 50785\n55508 83248\n78227 100000\n98427 100000\n85243 100000\n56964 85447\n54076 81129\n89020 100000\n48073 72091\n64914 97381\n12714 19138\n19836 29740\n37725 56540\n15450 23186\n18601 27873\n57054 85586\n79490 100000\n8648 13021\n52257 78396\n69969 100000\n63116 94712\n37948 56870\n71097 100000\n33829 50736\n25960 38929\n89267 100000\n39045 58500\n57407 86126\n25874 38797\n36869 55291\n46800 70183\n15416 23135\n56545 84810\n48960 73426\n17457 26191\n54315 81481\n3843 5767\n66289 99431\n31049 46546\n1173 1770\n8617 12980\n49962 74933\n61011 91535\n93874 100000\n53640 80474\n38539 57756\n92438 100000\n5805 8752\n72018 100000\n5825 8783\n64311 96485\n15018 22532\n66652 99984\n56098 84127\n19169 28745\n33736 50597\n87456 100000\n41467 62148\n32323 48474\n13200 19841\n7420 11182\n68435 100000\n8085 12179\n34251 51362\n24064 36091\n94788 100000\n59734 89627\n39181 58699\n80034 100000\n2843 4272\n31907 47838\n44893 67269\n77116 100000\n84756 100000\n91603 100000\n19447 29157\n60671 91022\n44427 66576\n8297 12481\n87307 100000\n68470 100000\n73353 100000\n47263 70876\n21543 32301\n27583 41349\n84094 100000\n68089 100000\n72934 100000\n60335 90521\n32788 49178\n75059 100000\n41032 61505\n96162 100000\n94725 100000\n50754 76138\n17183 25779\n90840 100000\n56854 85283\n894 1339\n74946 100000\n84574 100000\n81038 100000\n45883 68769\n95725 100000\n64863 97301\n30355 45487\n84984 100000\n85651 100000\n66214 99316\n84481 100000\n81400 100000\n99840 100000\n22404 33627\n9158 13777\n32227 48324\n45899 68798\n39328 58917\n56879 85321\n45223 67770\n14742 22121\n74671 100000\n11802 17750\n93375 100000\n13214 19860\n36534 54796\n43306 64896\n36233 54329\n89570 100000\n61148 91745\n54819 82202\n80030 100000\n72763 100000\n73905 100000\n65728 98588\n54741 82092\n92576 100000\n33222 49833\n46958 70421\n58944 88415\n96087 100000\n22244 33393\n21806 32717\n31447 47150\n11560 17402\n76279 100000\n36605 54899\n19272 28898\n87347 100000\n26929 40366\n9424 14176\n44210 66243\n90924 100000\n24997 37477\n28465 42671\n81726 100000\n5213 7864\n31055 46555\n44572 66805\n51794 77696\n86835 100000\n30958 46413\n35077 52604\n8254 12420\n47521 71266\n46637 69928\n19018 28516\n24815 37204\n9519 14319\n5925 8946\n19111 28660\n1897 2840\n56100 84130\n62740 94126\n99634 100000\n49138 73684\n95997 100000\n8464 12744\n95832 100000\n56968 85454\n87583 100000\n72694 100000\n5629 8490\n59738 89632\n59097 88653\n89866 100000\n76498 100000\n37188 55755\n51543 77324\n21932 32911\n13134 19744\n43113 64602\n90384 100000\n32033 48038\n89382 100000\n61577 92388\n37910 56817\n13683 20542\n59944 89940\n6081 9184\n85466 100000\n68112 100000\n40291 60379\n37420 56100\n22331 33519\n38600 57846\n56858 85289\n69259 100000\n60406 90627\n64572 96872\n25636 38439\n38538 57755\n48104 72136\n64198 96314\n8276 12449\n49313 73955\n86508 100000\n9605 14447\n3634 5457\n67949 100000\n86412 100000\n55443 83151\n57993 87004\n29693 44522\n44039 65986\n67212 100000\n16078 24126\n79196 100000\n63985 96001\n77162 100000\n52971 79452\n71580 100000\n22157 33256\n20377 30552\n72829 100000\n74094 100000\n87183 100000\n76344 100000\n56293 84429\n74443 100000\n92985 100000\n72222 100000\n27264 40868\n44801 67135\n93378 100000\n87934 100000\n43010 64442\n22719 34087\n658 982\n5923 8942\n10233 15418\n57453 86194\n78637 100000\n26015 39014\n63312 94994\n59907 89882\n43703 65484\n852 1279\n8755 13174\n79402 100000\n79114 100000\n11926 17945\n71101 100000\n25126 37677\n2601 3907\n43419 65057\n12615 18983\n99652 100000\n26139 39207\n42855 64209\n42912 64294\n90699 100000\n18882 28304\n69121 100000\n95975 100000\n68579 100000\n88935 100000\n72571 100000\n8638 13007\n24650 36955\n98203 100000\n40864 61238\n86263 100000\n83423 100000\n68217 100000\n10263 15460\n18344 27489\n19049 28564\n61067 91621\n42442 63617\n87269 100000\n74045 100000\n41975 62919\n42745 64048\n80767 100000\n57862 86801\n28080 42102\n60623 90951\n64964 97455\n84365 100000\n58997 88498\n53198 79807\n5132 7740\n67819 100000\n93342 100000\n13703 20576\n32834 49244\n75837 100000\n60711 91085\n94681 100000\n51147 76742\n3271 4915\n99725 100000\n30203 45267\n87192 100000\n48217 72309\n823 1237\n29366 44026\n14829 22252\n32691 49029\n32912 49361\n887 1329\n91897 100000\n26277 39407\n91027 100000\n4739 7137\n3151 4740\n34945 52415\n73025 100000\n9825 14786\n11454 17250\n93012 100000\n20710 31053\n90732 100000\n10554 15888\n52216 78332\n74513 100000\n91584 100000\n86360 100000\n96640 100000\n17411 26121\n25009 37495\n86611 100000\n72500 100000\n50442 75654\n37465 56162\n54922 82356\n22397 33615\n42352 63482\n39785 59613\n25054 37567\n44329 66426\n95485 100000\n45578 68300\n96174 100000\n6623 10003\n58915 88369\n55486 83215\n35224 52827\n50832 76257\n89531 100000\n17957 26926\n13296 19980\n15000 22507\n2710 4074\n25405 38088\n81360 100000\n48888 73319\n46089 69092\n28742 43084\n35716 53554\n4751 7159\n9887 14882\n48313 72452\n76623 100000\n30647 45936\n13858 20806\n61524 92307\n35701 53533\n20749 31113\n60849 91286\n57555 86347\n20804 31188\n8718 13123\n71167 100000\n71420 100000\n82853 100000\n83200 100000\n33768 50644\n54612 81904\n46583 69848\n84570 100000\n62118 93194\n40858 61229\n75673 100000\n45982 68928\n18840 28241\n70866 100000\n4679 7047\n65525 98287\n8921 13422\n6132 9257\n60487 90749\n30292 45398\n84517 100000\n52004 78014\n30471 45669\n19735 29597\n16960 25438\n1177 1776\n34127 51177\n25963 38933\n27784 41646\n58805 88210\n82054 100000\n94052 100000\n14373 21576\n97659 100000\n65263 97894\n53026 79538\n68961 100000\n94314 100000\n4676 7043\n49764 74642\n39225 58768\n89263 100000\n78027 100000\n28025 42027\n81255 100000\n69933 100000\n26467 39683\n26089 39129\n6130 9254\n39084 58550\n73220 100000\n13933 20918\n35529 53280\n36099 54131\n56649 84974\n4242 6378\n51694 77555\n40710 61001\n7886 11887\n58240 87377\n64489 96746\n83179 100000\n34968 52451\n72583 100000\n28304 42430\n2228 3341\n7185 10830\n51969 77954\n14117 21186\n53898 80857\n60901 91370\n30875 46290\n51206 76832\n36073 54090\n71381 100000\n16882 25319\n6141 9270\n36397 54582\n46378 69543\n82897 100000\n26417 39616\n94845 100000\n81989 100000\n82027 100000\n99657 100000\n44414 66556\n70993 100000\n72902 100000\n40301 60394\n12274 18477\n72918 100000\n78720 100000\n20667 30993\n29388 44061\n59640 89483\n35019 52521\n94594 100000\n25548 38299\n26799 40171\n43720 65507\n40891 61283\n49339 73993\n70379 100000\n85910 100000\n75280 100000\n98940 100000\n13263 19934\n54507 81755\n14692 22050\n44749 67060\n4091 6140\n49120 73657\n33767 50643\n83078 100000\n77253 100000\n23801 35701\n71962 100000\n50985 76499\n19236 28840\n19700 29541\n41200 61747\n10979 16535\n13563 20368\n34562 51841\n51031 76567\n22589 33898\n33023 49536\n47242 70844\n60829 91252\n44343 66444\n72170 100000\n10958 16504\n82293 100000\n2835 4260\n19764 29636\n65162 97750\n83970 100000\n49356 74021\n75052 100000\n87469 100000\n51481 77228\n98638 100000\n47349 71004\n36700 55036\n20780 31157\n98221 100000\n61942 92929\n80812 100000\n34368 51541\n22344 33538\n48105 72137\n15619 23444\n81261 100000\n67063 100000\n45165 67682\n77166 100000\n94307 100000\n11603 17469\n63983 95998\n80768 100000\n99170 100000\n91506 100000\n24991 37467\n85463 100000\n48158 72217\n77544 100000\n24428 36626\n9503 14296\n15818 23730\n61373 92082\n16993 25489\n54326 81499\n74592 100000\n27139 40681\n98629 100000\n46597 69869\n20636 30951\n3804 5707\n75583 100000\n51457 77195\n54213 81324\n49033 73534\n599 899\n51285 76949\n13681 20540\n82581 100000\n97192 100000\n68739 100000\n12459 18749\n75420 100000\n84042 100000\n45022 67458\n95818 100000\n23346 35030\n43132 64626\n53958 80946\n55304 82937\n29241 43839\n65479 98219\n56827 85240\n25409 38094\n71146 100000\n9634 14492\n90879 100000\n64195 96308\n95303 100000\n32487 48723\n28609 42886\n4992 7528\n4981 7512\n10701 16117\n24444 36652\n40639 60894\n83418 100000\n66930 100000\n32671 49001\n76074 100000\n13714 20593\n69875 100000\n93819 100000\n62262 93406\n72929 100000\n82463 100000\n89352 100000\n58962 88447\n49585 74376\n8777 13209\n8473 12757\n35689 53518\n45481 68148\n48925 73375\n31023 46508\n1066 1601\n2913 4378\n40371 60496\n14460 21706\n73412 100000\n10798 16264\n6840 10328\n77717 100000\n19349 29012\n58946 88419\n20812 31198\n48386 72557\n74770 100000\n73894 100000\n17321 25989\n74854 100000\n3531 5302\n17613 26423\n44156 66164\n65669 98503\n47666 71488\n34257 51370\n83526 100000\n71504 100000\n52238 78366\n67985 100000\n64526 96805\n59062 88598\n26232 39339\n47193 70768\n47777 71654\n16334 24520\n42516 63725\n85665 100000\n91186 100000\n69282 100000\n5955 8996\n47112 70645\n65205 97813\n8244 12405\n85099 100000\n15852 23778\n58519 87784\n39532 59223\n1704 2561\n94835 100000\n43422 65063\n79055 100000\n75649 100000\n11496 17307\n98462 100000\n94122 100000\n88090 100000\n88812 100000\n28008 41999\n53247 79878\n88545 100000\n61555 92359\n83400 100000\n51195 76815\n13834 20770\n87072 100000\n37272 55883\n85964 100000\n54657 81966\n64456 96701\n59140 88715\n52996 79490\n71240 100000\n7719 11639\n34041 51052\n38262 57340\n6304 9525\n21919 32893\n30615 45892\n47459 71171\n17983 26960\n75254 100000\n78749 100000\n3763 5644\n47164 70724\n62239 93371\n9096 13686\n56756 85130\n33166 49754\n70499 100000\n38906 58294\n40692 60974\n7624 11489\n25336 37979\n1949 2915\n34700 52055\n95685 100000\n92384 100000\n37226 55809\n30713 46037\n30528 45759\n58014 87037\n81977 100000\n32480 48711\n42003 62961\n68302 100000\n23498 35254\n22186 33303\n51589 77395\n93934 100000\n16908 25355\n10763 16210\n65595 98394\n85698 100000\n45432 68079\n29503 44238\n8459 12734\n33652 50473\n70382 100000\n82521 100000\n28954 43403\n83084 100000\n76059 100000\n45766 68596\n35441 53147\n24724 37067\n77724 100000\n93316 100000\n421 622\n38753 58058\n22576 33878\n16995 25491\n73879 100000\n99426 100000\n29873 44785\n51365 77068\n79940 100000\n25654 38464\n43150 64651\n48839 73243\n26501 39733\n49362 74030\n68148 100000\n34615 51921\n83460 100000\n50228 75331\n3009 4523\n70704 100000\n75449 100000\n59637 89478\n23846 35762\n81758 100000\n99683 100000\n35851 53763\n56554 84823\n47410 71098\n4833 7284\n55720 83562\n13961 20957\n26651 39957\n40907 61309\n51267 76920\n32069 48092\n93052 100000\n99394 100000\n99914 100000\n31795 47670\n61259 91907\n61584 92398\n69274 100000\n47910 71849\n23681 35528\n86749 100000\n24374 36544\n60674 91026\n72313 100000\n69619 100000\n25292 37915\n11811 17765\n721 1076\n81102 100000\n71934 100000\n48836 73239\n53179 79776\n21629 32436\n76212 100000\n24514 36753\n12522 18844\n72386 100000\n8199 12341\n45848 68718\n54152 81236\n39482 59145\n71617 100000\n63423 95160\n95688 100000\n66825 100000\n8130 12241\n11765 17699\n55187 82750\n22065 33116\n20642 30959\n8733 13144\n60659 91003\n22715 34081\n80524 100000\n97593 100000\n46254 69349\n8433 12697\n34903 52349\n39799 59635\n32756 49128\n83020 100000\n75990 100000\n58257 87402\n13845 20787\n24431 36630\n57108 85668\n91409 100000\n71256 100000\n63434 95176\n73142 100000\n29980 44947\n4044 6071\n88300 100000\n11747 17676\n96644 100000\n64679 97035\n99799 100000\n30020 45007\n85442 100000\n43231 64781\n64911 97376\n30725 46056\n13327 20027\n43825 65665\n55504 83244\n47402 71085\n22629 33954\n81580 100000\n47105 70633\n30510 45731\n16538 24815\n63343 95038\n1993 2984\n73660 100000\n96746 100000\n23873 35805\n56735 85098\n88064 100000\n2859 4294\n94676 100000\n76447 100000\n2765 4156\n49541 74307\n76348 100000\n95086 100000\n83876 100000\n60169 90283\n32525 48784\n90129 100000\n53542 80320\n71688 100000\n98314 100000\n91006 100000\n13578 20387\n49208 73790\n59536 89322\n82899 100000\n48602 72894\n56922 85384\n97314 100000\n76140 100000\n61774 92678\n25535 38279\n34069 51093\n2786 4187\n37148 55701\n51733 77607\n82707 100000\n9457 14229\n3050 4585\n72961 100000\n69432 100000\n16969 25452\n49287 73913\n87704 100000\n29237 43832\n75072 100000\n44010 65941\n76888 100000\n82327 100000\n74693 100000\n54163 81249\n20941 31392\n24409 36597\n32503 48749\n66034 99049\n86490 100000\n97149 100000\n97758 100000\n66601 99904\n58939 88410\n67183 100000\n96055 100000\n5484 8273\n590 886\n34934 52396\n13746 20638\n45653 68425\n16184 24284\n32238 48341\n32371 48543\n9520 14321\n89461 100000\n88650 100000\n12330 18558\n67649 100000\n42616 63870\n75494 100000\n59890 89857\n67831 100000\n12651 19039\n19038 28547\n47952 71911\n26904 40327\n70318 100000\n41633 62405\n59816 89747\n57919 86888\n46841 70246\n80536 100000\n10938 16472\n89398 100000\n94293 100000\n36758 55124\n73848 100000\n4764 7178\n15863 23794\n16153 24235\n40687 60967\n22694 34048\n1549 2331\n38891 58271\n56396 84582\n11174 16828\n63936 95928\n15165 22756\n54370 81561\n52616 78931\n83874 100000\n69890 100000\n29890 44811\n4866 7334\n97127 100000\n62897 94371\n80632 100000\n28754 43103\n79032 100000\n61285 91944\n51747 77626\n34441 51649\n95245 100000\n11846 17822\n74830 100000\n97664 100000\n30137 45175\n81187 100000\n28530 42771\n82459 100000\n82550 100000\n42000 62957\n31737 47585\n63815 95745\n60540 90832\n37877 56766\n38564 57793\n8958 13476\n66350 99525\n56013 84003\n95178 100000\n49392 74075\n47234 70830\n76014 100000\n96617 100000\n53406 80107\n75321 100000\n3322 4995\n93113 100000\n93896 100000\n67422 100000\n26087 39125\n13506 20282\n89440 100000\n84418 100000\n81614 100000\n43815 65648\n95025 100000\n95489 100000\n38870 58239\n62107 93175\n87035 100000\n26531 39777\n58593 87895\n84305 100000\n80002 100000\n37757 56590\n86638 100000\n3659 5493\n35415 53110\n94466 100000\n58505 87763\n54873 82285\n67503 100000\n18987 28469\n96500 100000\n57316 85989\n87955 100000\n1348 2029\n81755 100000\n62680 94036\n81759 100000\n36128 54177\n24009 36010\n45841 68707\n46635 69926\n89112 100000\n52403 78611\n22434 33675\n68643 100000\n26305 39448\n58852 88278\n35467 53188\n57021 85538\n47315 70953\n49635 74453\n63440 95183\n44146 66148\n15486 23239\n30676 45984\n34215 51311\n75709 100000\n43280 64854\n66977 100000\n36022 54019\n75400 100000\n78031 100000\n60320 90501\n50781 76177\n17575 26370\n94649 100000\n11167 16817\n74036 100000\n29993 44970\n86256 100000\n76202 100000\n72412 100000\n35727 53574\n61355 92056\n66345 99518\n9723 14627\n9630 14485\n30180 45232\n13891 20860\n17504 26261\n23957 35936\n23597 35403\n8404 12650\n36335 54491\n75991 100000\n91893 100000\n68416 100000\n7858 11844\n72213 100000\n92644 100000\n71530 100000\n45404 68040\n31273 46882\n76933 100000\n7376 11113\n27443 41130\n61085 91647\n40129 60134\n60027 90064\n88950 100000\n13406 20146\n74953 100000\n41950 62879\n96853 100000\n17499 26253\n47087 70610\n80871 100000\n49711 74566\n57233 85861\n61363 92067\n92008 100000\n79164 100000\n28780 43138\n14854 22285\n33575 50357\n43623 65360\n93800 100000\n43084 64556\n42694 63978\n90449 100000\n79250 100000\n69779 100000\n49794 74682\n86443 100000\n11702 17611\n83028 100000\n17288 25937\n59447 89183\n80621 100000\n32189 48269\n31944 47892\n39151 58651\n64017 96047\n87474 100000\n85992 100000\n37509 56228\n48226 72321\n47579 71354\n90515 100000\n22641 33971\n72705 100000\n97140 100000\n6388 9650\n11612 17482\n35120 52665\n38384 57524\n34286 51414\n76295 100000\n3255 4891\n31335 46975\n36873 55297\n77924 100000\n27928 41867\n46802 70186\n89691 100000\n59354 89048\n81440 100000\n88157 100000\n51654 77493\n17133 25704\n4635 6975\n81923 100000\n62177 93277\n97911 100000\n15992 23993\n35340 52995\n36030 54031\n66465 99700\n30657 45953\n2840 4267\n71703 100000\n79842 100000\n44934 67329\n69735 100000\n13689 20552\n54841 82237\n24779 37148\n51416 77139\n4062 6094\n91265 100000\n81490 100000\n31492 47214\n64359 96558\n57698 86562\n47882 71811\n25919 38868\n50851 76286\n42991 64413\n69604 100000\n34638 51957\n79681 100000\n73440 100000\n84848 100000\n77769 100000\n45447 68100\n49643 74464\n59933 89923\n94473 100000\n79117 100000\n87387 100000\n65990 98979\n29513 44253\n15538 23321\n98694 100000\n9930 14953\n12947 19463\n86000 100000\n39257 58812\n94325 100000\n29165 43724\n64945 97426\n87342 100000\n9147 13760\n26728 40069\n81173 100000\n82100 100000\n40450 60613\n91015 100000\n10198 15364\n10026 15104\n466 694\n17903 26854\n5965 9010\n73865 100000\n94730 100000\n80827 100000\n83549 100000\n34333 51486\n81520 100000\n47068 70582\n44213 66247\n16129 24199\n99338 100000\n77464 100000\n44452 66617\n40211 60255\n41774 62613\n59235 88864\n18237 27326\n91955 100000\n48194 72272\n35107 52646\n27144 40688\n92005 100000\n31141 46680\n38058 57033\n9764 14692\n49920 74867\n14791 22191\n40926 61336\n71269 100000\n73257 100000\n40277 60357\n54404 81606\n94547 100000\n61998 93012\n47216 70803\n11632 17510\n94078 100000\n78201 100000\n64460 96707\n81773 100000\n59856 89809\n86841 100000\n87318 100000\n12645 19029\n49717 74573\n76475 100000\n70643 100000\n46488 69704\n6301 9520\n44128 66124\n16181 24281\n5022 7573\n89745 100000\n30381 45523\n20224 30334\n45442 68093\n12691 19099\n62253 93394\n59407 89123\n22154 33252\n73743 100000\n51660 77502\n82708 100000\n9175 13803\n69194 100000\n33341 50005\n29670 44485\n60641 90977\n83280 100000\n32696 49037\n79539 100000\n50785 76182\n82505 100000\n13444 20202\n92588 100000\n90086 100000\n74190 100000\n44398 66529\n2168 3251\n19041 28552\n47555 71321\n13765 20666\n51491 77244\n4952 7468\n94088 100000\n85235 100000\n26047 39063\n58088 87149\n95937 100000\n85960 100000\n94275 100000\n71128 100000\n9223 13872\n57904 86865\n32749 49118\n79523 100000\n61044 91583\n8818 13270\n46139 69165\n35608 53399\n89924 100000\n58030 87061\n40351 60468\n47893 71826\n62024 93052\n15453 23191\n93274 100000\n85907 100000\n37762 56598\n24755 37110\n11036 16622\n8764 13188\n6927 10457\n87561 100000\n39315 58897\n53586 80393\n28759 43112\n86953 100000\n71886 100000\n84780 100000\n67768 100000\n82774 100000\n7774 11720\n36042 54048\n43760 65568\n68578 100000\n75557 100000\n92595 100000\n32565 48844\n5019 7570\n97773 100000\n84462 100000\n91284 100000\n83037 100000\n42784 64104\n50895 76357\n4087 6134\n89678 100000\n85692 100000\n8581 12924\n42451 63633\n25397 38075\n28796 43164\n73199 100000\n17525 26293\n63665 95516\n72164 100000\n75737 100000\n82134 100000\n66126 99190\n1607 2412\n40462 60631\n85919 100000\n23453 35184\n3356 5041\n31157 46703\n53432 80150\n5993 9055\n81167 100000\n40325 60426\n49982 74963\n96078 100000\n48478 72697\n55141 82686\n69564 100000\n9191 13826\n37341 55986\n47292 70919\n60116 90200\n59498 89263\n66164 99244\n82078 100000\n45700 68503\n73748 100000\n10759 16205\n24352 36513\n7411 11168\n46560 69817\n45130 67628\n24752 37106\n38735 58033\n87584 100000\n35881 53807\n33456 50185\n94898 100000\n10236 15422\n90880 100000\n80202 100000\n66201 99294\n6587 9950\n26919 40349\n37586 56343\n63958 95962\n98239 100000\n23049 34585\n27738 41579\n36043 54049\n10427 15703\n46183 69231\n50503 75749\n70962 100000\n2589 3891\n29276 43895\n95357 100000\n56556 84827\n5465 8248\n61746 92637\n36777 55157\n19316 28962\n96372 100000\n1321 1987\n16481 24735\n61384 92096\n33272 49905\n9107 13699\n93926 100000\n83681 100000\n81134 100000\n62057 93099\n89902 100000\n643 963\n88241 100000\n62149 93242\n82334 100000\n6467 9764\n46325 69458\n43351 64958\n38656 57922\n8542 12867\n93724 100000\n74402 100000\n96581 100000\n12890 19381\n31094 46613\n95211 100000\n74736 100000\n44637 66896\n60460 90709\n16898 25342\n39331 58921\n74813 100000\n62921 94407\n61668 92517\n7247 10925\n54526 81779\n24891 37318\n92054 100000\n55665 83479\n72832 100000\n91489 100000\n26822 40206\n7649 11527\n74251 100000\n67291 100000\n46411 69593\n90948 100000\n18964 28432\n8824 13277\n32554 48830\n24140 36202\n18698 28032\n40251 60316\n52116 78180\n68205 100000\n1791 2684\n87109 100000\n64014 96043\n55381 83056\n23255 34892\n34298 51432\n85986 100000\n44576 66809\n29229 43822\n4336 6523\n58641 87969\n4128 6199\n40419 60569\n46318 69446\n2928 4404\n4850 7309\n36591 54878\n23004 34518\n40725 61024\n41134 61654\n19433 29134\n98789 100000\n14502 21767\n22250 33401\n31787 47660\n44697 66984\n79182 100000\n90687 100000\n80609 100000\n33878 50804\n157 236\n49037 73540\n73940 100000\n29686 44511\n6506 9829\n66883 100000\n34821 52229\n67550 100000\n33981 50961\n93549 100000\n15968 23956\n78808 100000\n88330 100000\n31866 47780\n7073 10666\n20234 30348\n34468 51691\n59186 88783\n44449 66613\n25131 37683\n36132 54183\n43704 65485\n34795 52193\n63584 95393\n28167 42227\n35624 53424\n57892 86843\n57591 86399\n46659 69959\n76796 100000\n46775 70142\n65097 97651\n9512 14307\n86602 100000\n92545 100000\n74807 100000\n27730 41568\n58950 88427\n49378 74055\n94408 100000\n30460 45652\n75642 100000\n83543 100000\n72121 100000\n69483 100000\n20073 30104\n97976 100000\n39733 59529\n29784 44659\n62132 93215\n95326 100000\n90001 100000\n7053 10638\n22529 33805\n20426 30623\n84406 100000\n86928 100000\n69573 100000\n22048 33094\n73305 100000\n63122 94722\n68366 100000\n47680 71510\n97035 100000\n58571 87865\n88004 100000\n16766 25148\n60598 90915\n30498 45713\n82444 100000\n62774 94177\n33822 50725\n97420 100000\n56762 85140\n77233 100000\n97342 100000\n57965 86958\n31570 47330\n61117 91696\n68403 100000\n94823 100000\n62811 94234\n53320 79980\n48948 73406\n73932 100000\n22281 33451\n89136 100000\n8700 13096\n8227 12382\n65561 98340\n75204 100000\n99718 100000\n360 528\n76650 100000\n55658 83468\n12575 18927\n50671 76001\n52069 78108\n57576 86377\n7745 11680\n19490 29219\n40117 60118\n34166 51238\n74719 100000\n46927 70374\n90757 100000\n27805 41678\n38336 57450\n19035 28541\n51700 77563\n88616 100000\n80558 100000\n41125 61644\n82210 100000\n54893 82313\n9334 14039\n48813 73206\n63701 95567\n27459 41155\n24889 37316\n8366 12590\n79108 100000\n17214 25825\n88411 100000\n94298 100000\n79653 100000\n12616 18984\n68001 100000\n78169 100000\n22273 33437\n13862 20812\n22566 33863\n57577 86378\n23382 35082\n17884 26830\n28128 42168\n73970 100000\n83342 100000\n30748 46093\n94114 100000\n29914 44849\n14004 21020\n43101 64579\n19500 29235\n72010 100000\n61797 92710\n27998 41984\n26509 39743\n66363 99546\n9338 14045\n95883 100000\n57710 86581\n76310 100000\n36311 54457\n90978 100000\n87681 100000\n2088 3131\n73198 100000\n25482 38201\n82152 100000\n12002 18062\n89021 100000\n37309 55941\n27123 40656\n52129 78203\n60191 90314\n62794 94207\n93619 100000\n86016 100000\n41916 62828\n35583 53361\n37428 56111\n11997 18054\n19904 29849\n88967 100000\n39259 58814\n73881 100000\n65750 98622\n5176 7811\n64507 96776\n44719 67013\n3096 4652\n82071 100000\n8363 12585\n2403 3608\n56679 85015\n85811 100000\n41239 61804\n83104 100000\n14779 22173\n52299 78454\n76340 100000\n56060 84074\n48461 72672\n12901 19396\n36935 55390\n13785 20693\n55513 83257\n244 358\n88583 100000\n97991 100000\n53972 80967\n41757 62589\n8614 12975\n20822 31213\n41524 62238\n30724 46054\n67536 100000\n26502 39734\n85281 100000\n48653 72972\n9727 14634\n35589 53371\n48487 72712\n38338 57452\n95498 100000\n49328 73977\n4713 7099\n24239 36348\n43492 65163\n73051 100000\n27457 41152\n46442 69639\n56772 85157\n94499 100000\n58963 88448\n93907 100000\n62259 93401\n52126 78198\n60328 90511\n28032 42038\n97562 100000\n45977 68921\n96699 100000\n46571 69830\n51688 77547\n40326 60427\n32034 48040\n22588 33897\n62872 94330\n82075 100000\n17482 26229\n5948 8982\n4069 6106\n59012 88518\n14139 21220\n45365 67981\n57519 86295\n79465 100000\n27066 40569\n51641 77475\n85674 100000\n30240 45321\n68700 100000\n15140 22719\n29598 44375\n72607 100000\n94512 100000\n75201 100000\n89381 100000\n32926 49382\n34449 51661\n43220 64763\n60599 90916\n21638 32452\n87967 100000\n46903 70338\n24354 36515\n63740 95629\n4215 6332\n45315 67903\n62516 93781\n81407 100000\n19053 28569\n30901 46327\n11166 16816\n74352 100000\n62918 94403\n26729 40071\n61773 92677\n47770 71643\n35435 53140\n45620 68373\n66890 100000\n94890 100000\n65513 98270\n18282 27396\n90865 100000\n58564 87855\n41102 61609\n46063 69053\n36462 54683\n73064 100000\n40915 61321\n86868 100000\n7288 10987\n12656 19045\n16512 24780\n13059 19639\n20129 30190\n26863 40266\n81430 100000\n76400 100000\n68298 100000\n41493 62189\n45239 67790\n26192 39278\n78585 100000\n59939 89934\n67318 100000\n79911 100000\n64665 97011\n85207 100000\n69979 100000\n68331 100000\n83505 100000\n20416 30610\n22384 33594\n11492 17303\n31522 47258\n44480 66659\n36751 55114\n70887 100000\n1256 1891\n46705 70033\n46009 68968\n94431 100000\n51080 76639\n99017 100000\n37442 56129\n88226 100000\n57760 86654\n11690 17591\n24125 36179\n20785 31162\n57091 85643\n7198 10849\n5064 7637\n70688 100000\n39558 59261\n82449 100000\n58943 88414\n71890 100000\n49809 74702\n6396 9662\n81497 100000\n8388 12625\n33467 50203\n88543 100000\n9371 14094\n30354 45486\n57547 86335\n84276 100000\n88434 100000\n34817 52224\n8735 13147\n11284 16992\n36537 54801\n63199 94839\n3793 5691\n63330 95018\n91694 100000\n88137 100000\n53846 80781\n90917 100000\n40414 60562\n6585 9946\n47300 70931\n80945 100000\n11980 18028\n59685 89551\n3998 6003\n73511 100000\n98387 100000\n72137 100000\n269 396\n69697 100000\n405 596\n27497 41215\n30133 45168\n82133 100000\n25515 38250\n41048 61529\n49043 73549\n14199 21309\n86827 100000\n83426 100000\n52855 79279\n176 261\n41994 62948\n73689 100000\n31207 46781\n11034 16619\n70328 100000\n41439 62105\n66697 100000\n25495 38219\n43284 64862\n52607 78917\n67670 100000\n29722 44565\n79964 100000\n40875 61256\n43827 65669\n15419 23141\n6666 10071\n1975 2956\n47311 70947\n52087 78137\n98484 100000\n7364 11098\n30977 46440\n8484 12776\n83705 100000\n90393 100000\n70498 100000\n23619 35434\n95029 100000\n44653 66919\n62163 93260\n50457 75676\n72185 100000\n58194 87306\n70873 100000\n21485 32215\n29881 44797\n58516 87781\n66723 100000\n26444 39652\n32203 48288\n92943 100000\n63481 95248\n93349 100000\n15327 23003\n46122 69140\n86272 100000\n57605 86421\n1985 2973\n75809 100000\n90667 100000\n98607 100000\n9800 14749\n76076 100000\n95354 100000\n53174 79768\n24977 37446\n87797 100000\n50519 75773\n6970 10519\n66487 99730\n4719 7106\n50775 76166\n29897 44823\n53245 79876\n24931 37375\n42792 64118\n61587 92402\n67599 100000\n98213 100000\n92502 100000\n55650 83459\n82755 100000\n31603 47379\n26523 39766\n1739 2611\n69381 100000\n53473 80216\n24857 37266\n36678 55002\n22829 34253\n37359 56011\n95541 100000\n86424 100000\n5338 8058\n39413 59044\n74435 100000\n23733 35606\n46830 70226\n75511 100000\n47098 70624\n91446 100000\n93957 100000\n76478 100000\n60105 90184\n65667 98500\n98144 100000\n22771 34164\n61660 92505\n72285 100000\n24407 36595\n93007 100000\n35862 53779\n55937 83894\n42009 62968\n94893 100000\n24559 36818\n92681 100000\n31018 46501\n84039 100000\n12020 18091\n54489 81726\n21144 31698\n71062 100000\n64997 97506\n89555 100000\n74926 100000\n38505 57708\n5273 7958\n88002 100000\n71207 100000\n65078 97623\n27446 41134\n13333 20037\n88987 100000\n87890 100000\n41501 62201\n46438 69632\n20982 31454\n22109 33183\n86600 100000\n27397 41060\n43237 64789\n52724 79088\n87213 100000\n54805 82180\n36542 54807\n13110 19714\n81448 100000\n34712 52072\n76452 100000\n15772 23664\n43788 65608\n28275 42390\n17480 26226\n65200 97805\n33375 50056\n52727 79093\n74996 100000\n13645 20486\n59067 88606\n20721 31071\n18335 27477\n16074 24121\n68993 100000\n60102 90180\n39956 59875\n87680 100000\n96884 100000\n32985 49476\n68092 100000\n15277 22928\n96458 100000\n33318 49969\n7546 11375\n55089 82604\n49932 74885\n3863 5796\n87172 100000\n54455 81676\n103 157\n74840 100000\n40118 60120\n53784 80689\n9872 14858\n2483 3725\n38717 58009\n63032 94581\n13688 20550\n89944 100000\n90693 100000\n41683 62477\n45157 67670\n81279 100000\n2434 3653\n77029 100000\n90791 100000\n78009 100000\n98063 100000\n42513 63721\n9897 14897\n59244 88878\n91741 100000\n77118 100000\n85640 100000\n46310 69436\n77686 100000\n57030 85552\n76108 100000\n38554 57778\n80704 100000\n55041 82528\n18614 27895\n84211 100000\n20396 30581\n90307 100000\n1940 2900\n49884 74815\n9729 14637\n57824 86743\n21525 32274\n75199 100000\n30609 45884\n46611 69891\n24130 36187\n86458 100000\n28194 42264\n29819 44709\n66198 99291\n4715 7102\n27520 41254\n26171 39249\n61275 91928\n66102 99155\n34578 51867\n49038 73541\n69648 100000\n55031 82515\n78966 100000\n83911 100000\n78017 100000\n24601 36878\n89995 100000\n28398 42570\n78449 100000\n58731 88102\n94210 100000\n81543 100000\n7635 11506\n24943 37393\n34593 51889\n44320 66411\n98742 100000\n14235 21358\n99873 100000\n2919 4388\n99195 100000\n28036 42045\n79138 100000\n79270 100000\n1280 1923\n76635 100000\n64012 96041\n29761 44625\n78574 100000\n76063 100000\n18879 28299\n33696 50536\n52961 79436\n6019 9091\n7564 11402\n53535 80308\n44579 66814\n74860 100000\n9016 13565\n87714 100000\n78453 100000\n4821 7263\n67662 100000\n95295 100000\n89804 100000\n60909 91380\n11242 16931\n49389 74070\n15913 23872\n34238 51343\n83459 100000\n54994 82456\n85853 100000\n80615 100000\n39950 59867\n69497 100000\n3746 5621\n99682 100000\n45584 68311\n34669 52002\n78493 100000\n23575 35367\n9360 14078\n9406 14150\n47857 71772\n33335 49995\n89686 100000\n98348 100000\n89061 100000\n41313 61909\n40319 60417\n20061 30088\n17312 25975\n91084 100000\n51053 76600\n10222 15401\n64071 96126\n35308 52948\n58434 87662\n38588 57831\n39273 58834\n42683 63964\n40791 61131\n7098 10699\n66840 100000\n23811 35716\n44423 66571\n63857 95809\n94031 100000\n7433 11204\n77592 100000\n75574 100000\n83935 100000\n85460 100000\n26881 40294\n3755 5633\n98888 100000\n82608 100000\n56264 84382\n82589 100000\n98821 100000\n70312 100000\n39724 59518\n95513 100000\n97436 100000\n13047 19619\n16704 25063\n77387 100000\n23632 35455\n85842 100000\n3971 5960\n57431 86160\n98127 100000\n96175 100000\n28728 43065\n79508 100000\n92929 100000\n44515 66711\n71539 100000\n74416 100000\n21646 32466\n39004 58436\n56361 84527\n83696 100000\n69835 100000\n58348 87540\n3514 5280\n1707 2565\n19558 29324\n65091 97641\n63334 95023\n22763 34154\n32934 49395\n89216 100000\n22248 33398\n43837 65685\n11953 17988\n99810 100000\n26623 39913\n17640 26462\n18951 28409\n53045 79566\n47820 71719\n68174 100000\n86253 100000\n87216 100000\n82816 100000\n78131 100000\n16189 24291\n52035 78057\n8632 12999\n68923 100000\n48427 72619\n69883 100000\n65019 97538\n63762 95664\n8016 12074\n13494 20266\n23256 34893\n38268 57350\n73655 100000\n805 1208\n28264 42373\n50334 75488\n43542 65243\n39089 58559\n15467 23210\n63280 94947\n14731 22102\n99529 100000\n29718 44558\n32827 49233\n50278 75407\n45091 67567\n78798 100000\n58534 87808\n78284 100000\n83792 100000\n18908 28343\n73390 100000\n70752 100000\n47760 71630\n12858 19336\n28168 42228\n67960 100000\n18941 28392\n31600 47374\n26931 40368\n91707 100000\n60846 91280\n60629 90958\n57743 86629\n87850 100000\n75314 100000\n5749 8667\n53934 80911\n64388 96599\n20990 31463\n3273 4918\n71172 100000\n13109 19712\n72307 100000\n32859 49281\n17450 26178\n16770 25153\n17656 26486\n66763 100000\n55303 82936\n1147 1731\n94448 100000\n67870 100000\n89860 100000\n56172 84245\n73653 100000\n41250 61820\n14927 22394\n33559 50333\n97746 100000\n5499 8295\n33867 50791\n3144 4730\n18386 27553\n76791 100000\n34987 52476\n66614 99922\n10452 15739\n37857 56739\n32662 48988\n82786 100000\n53166 79756\n5547 8366\n9236 13892\n97240 100000\n26758 40113\n46755 70113\n89014 100000\n84852 100000\n90253 100000\n63645 95484\n51154 76751\n88917 100000\n44097 66077\n32881 49315\n93998 100000\n83079 100000\n39022 58463\n688 1025\n2969 4461\n30160 45207\n58908 88358\n67733 100000\n66433 99647\n57835 86759\n75421 100000\n93676 100000\n79369 100000\n23131 34706\n50230 75334\n55411 83102\n30349 45480\n24242 36352\n32255 48367\n16502 24766\n18567 27821\n24831 37228\n27825 41714\n27134 40674\n70554 100000\n38079 57063\n89843 100000\n38768 58081\n83595 100000\n2975 4468\n78344 100000\n33686 50523\n46207 69268\n28697 43019\n93856 100000\n63800 95722\n63693 95555\n59607 89432\n47058 70568\n46632 69922\n79784 100000\n75006 100000\n42724 64017\n95598 100000\n88017 100000\n51984 77978\n91316 100000\n41575 62313\n84718 100000\n84733 100000\n27639 41435\n81172 100000\n72377 100000\n40693 60976\n47244 70848\n7726 11649\n43948 65850\n79918 100000\n85308 100000\n43595 65320\n30604 45877\n58113 87188\n59282 88938\n29262 43873\n37558 56300\n3305 4971\n94582 100000\n65882 98810\n88713 100000\n13839 20778\n38929 58327\n86473 100000\n83920 100000\n60608 90927\n15261 22905\n97960 100000\n37371 56029\n60873 91324\n86532 100000\n95954 100000\n12675 19076\n41973 62915\n82488 100000\n61293 91958\n25632 38433\n71653 100000\n42180 63223\n9906 14913\n15470 23215\n83973 100000\n29480 44201\n42771 64084\n23067 34612\n16608 24917\n63526 95311\n38669 57939\n44555 66779\n33325 49978\n58319 87496\n49774 74658\n16022 24039\n83854 100000\n63685 95545\n56122 84164\n92183 100000\n72688 100000\n48950 73410\n31624 47413\n37662 56450\n32084 48113\n40032 59987\n65380 98070\n72784 100000\n66613 99920\n7089 10687\n33016 49527\n6756 10202\n73462 100000\n71124 100000\n22664 34006\n58609 87918\n84715 100000\n92289 100000\n84854 100000\n54827 82216\n5147 7764\n68656 100000\n83520 100000\n89803 100000\n32987 49478\n6337 9575\n65921 98869\n36743 55104\n96216 100000\n13228 19882\n39727 59522\n15910 23866\n91485 100000\n18445 27637\n19971 29951\n10778 16232\n30070 45075\n28659 42962\n95174 100000\n15511 23278\n18267 27376\n83623 100000\n47054 70563\n63862 95815\n3575 5369\n36885 55315\n26777 40141\n87818 100000\n1670 2512\n24823 37216\n30777 46138\n76857 100000\n73858 100000\n92387 100000\n63028 94575\n41705 62512\n42343 63468\n93704 100000\n78641 100000\n29883 44801\n91900 100000\n15744 23623\n77782 100000\n93379 100000\n68531 100000\n31650 47452\n6531 9866\n32412 48609\n77646 100000\n38033 56996\n9199 13838\n4150 6232\n78464 100000\n62407 93626\n21162 31727\n3439 5174\n30902 46329\n789 1184\n14543 21828\n84221 100000\n4640 6982\n99633 100000\n1930 2884\n79773 100000\n79260 100000\n17134 25705\n31734 47582\n89721 100000\n4897 7382\n78981 100000\n12455 18741\n97868 100000\n22614 33930\n99560 100000\n97219 100000\n91059 100000\n15184 22787\n8663 13042\n62191 93298\n81978 100000\n91805 100000\n73252 100000\n36974 55446\n22910 34377\n67156 100000\n71607 100000\n83666 100000\n38422 57582\n28251 42352\n68899 100000\n83570 100000\n94726 100000\n40957 61384\n38240 57306\n60802 91207\n42010 62970\n67648 100000\n30629 45913\n38759 58067\n77780 100000\n1836 2751\n87984 100000\n27569 41329\n21830 32755\n85759 100000\n84648 100000\n93303 100000\n14809 22222\n1825 2732\n67488 100000\n40877 61260\n75590 100000\n1232 1854\n80248 100000\n48290 72415\n31322 46957\n11923 17941\n45099 67580\n58480 87725\n37487 56197\n79452 100000\n78133 100000\n40805 61153\n52729 79096\n50642 75952\n57537 86321\n83080 100000\n40263 60333\n40060 60030\n47009 70501\n68442 100000\n17684 26529\n18017 27015\n98615 100000\n54762 82122\n2040 3055\n34775 52164\n97222 100000\n23172 34763\n93207 100000\n47676 71505\n83944 100000\n57741 86625\n32072 48097\n12966 19493\n55366 83031\n36394 54578\n28905 43337\n5471 8255\n39717 59505\n31158 46705\n42921 64308\n62747 94137\n30555 45803\n93545 100000\n16757 25137\n20197 30296\n6421 9697\n86960 100000\n22963 34460\n42336 63457\n16072 24118\n46686 70003\n86670 100000\n18619 27903\n27085 40596\n74457 100000\n6944 10481\n43300 64887\n72268 100000\n12924 19428\n39148 58645\n86179 100000\n34988 52478\n94760 100000\n51906 77861\n34459 51677\n84924 100000\n36172 54242\n42606 63852\n89956 100000\n41832 62699\n19664 29485\n67874 100000\n17616 26427\n99674 100000\n33387 50076\n92599 100000\n21230 31828\n7136 10761\n90354 100000\n10802 16272\n39369 58976\n76727 100000\n46458 69662\n42649 63918\n97474 100000\n51625 77450\n41921 62836\n2312 3473\n21166 31733\n51902 77854\n88319 100000\n33826 50731\n92194 100000\n17096 25649\n89910 100000\n16227 24351\n65303 97952\n42867 64225\n70244 100000\n25124 37675\n32070 48093\n54320 81489\n33149 49732\n3330 5006\n91023 100000\n70706 100000\n45897 68794\n88233 100000\n71289 100000\n37598 56358\n74699 100000\n7109 10717\n61464 92217\n43435 65082\n64116 96196\n72300 100000\n90024 100000\n2011 3010\n6443 9730\n35149 52712\n64984 97486\n95443 100000\n97364 100000\n9392 14126\n61947 92934\n3504 5267\n52475 78715\n75770 100000\n49667 74500\n50203 75297\n36516 54766\n94332 100000\n67706 100000\n45354 67963\n91507 100000\n14462 21709\n15622 23448\n82163 100000\n55762 83625\n1566 2357\n68326 100000\n96712 100000\n88402 100000\n14465 21713\n568 853\n57205 85817\n32222 48317\n28471 42681\n22745 34124\n66544 99818\n57204 85816\n1987 2975\n9507 14301\n88093 100000\n27957 41914\n97010 100000\n81774 100000\n9799 14748\n23930 35896\n69759 100000\n6522 9854\n59689 89557\n34321 51467\n69046 100000\n16416 24639\n63437 95179\n72449 100000\n72 110\n95468 100000\n30074 45081\n10711 16134\n84743 100000\n57958 86949\n13975 20976\n19528 29280\n34625 51938\n39302 58877\n93239 100000\n71536 100000\n59456 89197\n97238 100000\n76144 100000\n53911 80878\n34658 51986\n35623 53423\n55457 83171\n89834 100000\n76019 100000\n13325 20024\n84521 100000\n47395 71074\n41967 62905\n4614 6940\n43028 64470\n76002 100000\n58130 87213\n71736 100000\n38515 57722\n1938 2897\n22448 33700\n44497 66683\n44249 66304\n98733 100000\n56116 84156\n76162 100000\n72440 100000\n42409 63566\n95860 100000\n13194 19834\n48453 72660\n34910 52361\n33452 50178\n51252 76898\n64427 96659\n85597 100000\n35068 52591\n74179 100000\n58508 87768\n54295 81450\n86556 100000\n33714 50564\n76649 100000\n63694 95556\n31274 46883\n24721 37061\n22881 34332\n18804 28188\n96678 100000\n96351 100000\n6250 9440\n5790 8732\n79289 100000\n25999 38988\n49570 74352\n90779 100000\n35160 52730\n48398 72575\n2136 3203\n14175 21273\n17212 25821\n25909 38851\n108 162\n76195 100000\n35829 53728\n26293 39428\n97685 100000\n2744 4122\n4768 7183\n18031 27036\n78817 100000\n52301 78458\n51866 77800\n37983 56925\n680 1014\n70401 100000\n39820 59665\n82929 100000\n72079 100000\n34472 51697\n8761 13183\n42786 64107\n16829 25238\n61800 92714\n29371 44032\n66696 100000\n2728 4098\n7859 11846\n45663 68443\n37771 56612\n7603 11459\n47547 71310\n29490 44216\n46623 69909\n74065 100000\n15579 23384\n22534 33814\n30531 45765\n76067 100000\n54293 81447\n55599 83382\n51668 77514\n47805 71697\n68901 100000\n19376 29048\n23642 35469\n33965 50931\n12431 18705\n37244 55838\n37599 56359\n39893 59778\n63810 95739\n83590 100000\n19657 29475\n2938 4420\n77257 100000\n62997 94527\n82346 100000\n28292 42414\n49406 74096\n37879 56769\n12454 18740\n40531 60733\n19834 29738\n88311 100000\n29545 44300\n62448 93685\n56897 85348\n86315 100000\n54816 82196\n69126 100000\n61055 91601\n60602 90920\n9133 13738\n27130 40666\n27170 40724\n73789 100000\n60816 91229\n52430 78649\n68601 100000\n32587 48875\n58568 87861\n91662 100000\n52305 78464\n44686 66968\n28312 42443\n16951 25423\n37389 56057\n10111 15237\n38205 57254\n79977 100000\n32202 48287\n92728 100000\n37621 56391\n93236 100000\n80818 100000\n57116 85683\n9339 14046\n14907 22364\n9142 13753\n50934 76417\n1435 2161\n58592 87893\n44614 66862\n5672 8553\n95472 100000\n43633 65377\n32076 48103\n64535 96820\n63505 95281\n14463 21710\n40870 61248\n72614 100000\n36551 54820\n52774 79156\n7824 11793\n22805 34219\n38301 57399\n49934 74888\n68057 100000\n1947 2912\n50424 75628\n84295 100000\n71618 100000\n5752 8671\n73212 100000\n12567 18913\n26935 40374\n89335 100000\n60452 90698\n22256 33410\n74939 100000\n54884 82302\n24798 37179\n17217 25829\n54423 81632\n51495 77249\n26425 39627\n6763 10214\n51565 77360\n6787 10250\n74619 100000\n57467 86217\n42837 64182\n88448 100000\n21837 32763\n15150 22736\n63196 94836\n10983 16542\n3900 5856\n59819 89750\n34714 52074\n22330 33517\n66115 99174\n39143 58636\n43974 65889\n99849 100000\n46901 70334\n96185 100000\n20663 30986\n64041 96083\n38836 58186\n87412 100000\n43331 64931\n23700 35553\n84870 100000\n83402 100000\n25128 37679\n82592 100000\n46613 69894\n53414 80120\n39777 59601\n45707 68514\n26524 39767\n8702 13100\n38211 57262\n60917 91391\n48800 73187\n91462 100000\n33434 50152\n74358 100000\n51895 77843\n95805 100000\n69899 100000\n83085 100000\n51425 77151\n81648 100000\n35656 53470\n51385 77098\n95579 100000\n8866 13338\n52029 78049\n42353 63484\n81981 100000\n4532 6814\n6621 10000\n67237 100000\n56843 85264\n179 266\n18773 28145\n92548 100000\n46169 69212\n66822 100000\n5248 7918\n55378 83050\n83027 100000\n37141 55690\n90233 100000\n90956 100000\n75576 100000\n95768 100000\n92400 100000\n93384 100000\n4849 7307\n62678 94034\n40157 60178\n36592 54879\n72242 100000\n63935 95927\n51068 76624\n84394 100000\n78445 100000\n77114 100000\n5328 8043\n13783 20690\n62090 93151\n46230 69307\n63571 95376\n75390 100000\n96896 100000\n17996 26982\n8583 12928\n88174 100000\n65452 98179\n7897 11904\n76120 100000\n58364 87558\n64154 96250\n64076 96132\n21973 32973\n20608 30913\n54390 81586\n94168 100000\n5768 8698\n54605 81894\n32200 48285\n33799 50690\n24327 36480\n94616 100000\n72978 100000\n71705 100000\n39051 58507\n9670 14546\n90474 100000\n6380 9641\n13092 19687\n18489 27709\n80363 100000\n33886 50817\n68697 100000\n97360 100000\n70970 100000\n56155 84218\n69429 100000\n45629 68389\n75935 100000\n88292 100000\n83016 100000\n65886 98815\n81805 100000\n56543 84807\n31841 47743\n64113 96191\n98057 100000\n49805 74696\n24067 36095\n87420 100000\n73100 100000\n81254 100000\n14529 21808\n68329 100000\n28376 42535\n23273 34919\n30224 45297\n79551 100000\n28978 43443\n54403 81605\n13219 19869\n59375 89079\n15935 23904\n43877 65744\n91287 100000\n79447 100000\n84880 100000\n37863 56748\n79035 100000\n95858 100000\n49800 74690\n70624 100000\n7449 11228\n58994 88493\n76433 100000\n11909 17916\n44147 66150\n72133 100000\n22702 34061\n69739 100000\n55918 83864\n76124 100000\n92148 100000\n45386 68013\n17263 25897\n79643 100000\n59889 89855\n75430 100000\n63508 95286\n47301 70933\n12328 18555\n20059 30086\n67887 100000\n60040 90085\n19343 29002\n6762 10212\n26187 39271\n73454 100000\n39470 59128\n29759 44623\n99785 100000\n850 1277\n34415 51615\n74837 100000\n93402 100000\n14312 21483\n91816 100000\n4973 7501\n5152 7772\n2986 4487\n35805 53691\n2415 3625\n3645 5471\n496 742\n38209 57260\n98454 100000\n18021 27022\n57863 86802\n95056 100000\n18093 27124\n81336 100000\n37635 56412\n24139 36200\n90224 100000\n58901 88347\n86634 100000\n57622 86447\n83286 100000\n68806 100000\n69889 100000\n31546 47294\n64287 96449\n84378 100000\n85742 100000\n28453 42652\n66438 99655\n59037 88558\n31260 46862\n73074 100000\n84353 100000\n961 1443\n2176 3261\n24949 37402\n39050 58506\n56848 85271\n84563 100000\n87557 100000\n79612 100000\n96744 100000\n84001 100000\n6964 10510\n37456 56148\n83211 100000\n48577 72855\n67246 100000\n38129 57139\n99747 100000\n49550 74321\n24635 36929\n83023 100000\n45347 67951\n7183 10827\n90196 100000\n75180 100000\n38351 57472\n87193 100000\n70207 100000\n10425 15701\n50640 75949\n28196 42267\n86364 100000\n73284 100000\n6594 9962\n33257 49882\n94880 100000\n69439 100000\n95151 100000\n52476 78716\n28283 42400\n31132 46668\n33936 50888\n42627 63886\n59544 89334\n91190 100000\n4353 6548\n85617 100000\n20614 30920\n78157 100000\n90190 100000\n28702 43026\n91376 100000\n35361 53029\n92411 100000\n44312 66399\n33663 50490\n77768 100000\n75587 100000\n45184 67711\n31085 46598\n77997 100000\n89941 100000\n63972 95983\n35366 53037\n56048 84058\n15106 22665\n28290 42411\n14565 21857\n7707 11617\n59562 89362\n13788 20698\n27780 41640\n88326 100000\n49228 73822\n98075 100000\n845 1270\n49442 74149\n93593 100000\n83291 100000\n88084 100000\n25914 38859\n34137 51192\n69471 100000\n74531 100000\n47872 71796\n45215 67757\n38043 57010\n41935 62855\n77104 100000\n83825 100000\n45227 67774\n35504 53244\n34755 52132\n32742 49107\n52730 79098\n47797 71685\n31779 47647\n53834 80761\n61641 92477\n67102 100000\n64628 96957\n27573 41334\n44446 66607\n15349 23041\n24932 37377\n6097 9207\n74255 100000\n76473 100000\n19302 28943\n99200 100000\n21348 32005\n65406 98111\n98563 100000\n40199 60239\n39093 58564\n35095 52629\n36881 55309\n15920 23882\n38046 57014\n47106 70635\n51232 76870\n71609 100000\n34036 51044\n97091 100000\n90528 100000\n37376 56038\n68484 100000\n23283 34932\n84623 100000\n92460 100000\n83667 100000\n75918 100000\n77211 100000\n87841 100000\n76664 100000\n45765 68594\n29045 43546\n16981 25471\n18739 28096\n14082 21132\n57018 85533\n66057 99082\n4806 7237\n67407 100000\n37050 55554\n35537 53291\n3138 4719\n32759 49133\n50305 75446\n76746 100000\n23877 35810\n62756 94150\n11584 17442\n39997 59938\n23770 35657\n42945 64343\n6740 10181\n99465 100000\n6591 9956\n50802 76207\n547 822\n14234 21357\n83723 100000\n57372 86075\n33846 50762\n43684 65456\n40629 60881\n39170 58680\n22886 34340\n77219 100000\n4334 6521\n46707 70036\n80854 100000\n32737 49101\n21913 32883\n63952 95951\n84620 100000\n1984 2971\n77192 100000\n73479 100000\n16680 25027\n80300 100000\n42108 63119\n26812 40192\n28693 43012\n66653 99985\n51066 76621\n26341 39499\n18136 27184\n79804 100000\n88725 100000\n24621 36910\n4245 6382\n30516 45741\n19263 28882\n81555 100000\n27787 41650\n87620 100000\n35575 53348\n70188 100000\n96360 100000\n45818 68672\n67514 100000\n33007 49511\n12181 18337\n46776 70144\n3180 4777\n94159 100000\n39808 59648\n56506 84745\n79822 100000\n33053 49582\n54541 81798\n76512 100000\n112 168\n26809 40187\n43078 64547\n69037 100000\n45776 68613\n55997 83978\n65157 97744\n72466 100000\n752 1125\n48886 73315\n77238 100000\n35114 52656\n82500 100000\n80018 100000\n52429 78648\n77797 100000\n12796 19256\n71915 100000\n70045 100000\n12673 19073\n13601 20419\n7110 10718\n7760 11697\n5763 8690\n55683 83506\n71496 100000\n61025 91556\n32191 48272\n42455 63639\n14198 21307\n47196 70774\n28760 43113\n7529 11345\n98196 100000\n58410 87624\n20600 30901\n76883 100000\n2113 3169\n82935 100000\n91327 100000\n82016 100000\n21870 32819\n44040 65988\n11555 17394\n76554 100000\n88841 100000\n63399 95124\n33202 49806\n56499 84736\n59678 89540\n83331 100000\n17383 26081\n32619 48923\n60062 90119\n58408 87621\n62246 93382\n77815 100000\n79953 100000\n24732 37080\n97974 100000\n49276 73895\n74439 100000\n31555 47308\n5856 8831\n17336 26012\n83914 100000\n45617 68367\n1910 2858\n515 769\n52942 79408\n58487 87737\n3091 4646\n62194 93303\n98296 100000\n14911 22370\n17451 26180\n10057 15154\n87820 100000\n23383 35083\n7063 10651\n9376 14100\n71990 100000\n38551 57773\n10599 15962\n78163 100000\n88243 100000\n29439 44140\n20850 31255\n11840 17812\n92470 100000\n57531 86312\n72664 100000\n54804 82179\n60526 90810\n54862 82270\n60983 91492\n64544 96833\n51579 77381\n166 249\n44266 66330\n72084 100000\n24775 37142\n26440 39647\n32814 49214\n94515 100000\n48964 73431\n7663 11549\n41203 61750\n30537 45774\n52944 79411\n34338 51494\n68828 100000\n6345 9588\n74616 100000\n52853 79277\n20875 31294\n81814 100000\n57766 86661\n65583 98375\n41538 62257\n35089 52622\n95113 100000\n80740 100000\n14103 21166\n56 85\n16739 25112\n249 364\n76080 100000\n55241 82835\n3445 5184\n29622 44412\n35388 53074\n33162 49749\n66548 99825\n58793 88193\n86889 100000\n75775 100000\n65690 98537\n51525 77295\n78466 100000\n48332 72476\n15254 22896\n85949 100000\n54974 82428\n10050 15144\n84027 100000\n38083 57069\n67764 100000\n16941 25405\n68875 100000\n77990 100000\n15378 23083\n69453 100000\n81703 100000\n53987 80990\n75565 100000\n43491 65161\n26088 39127\n49432 74135\n28070 42087\n56771 85156\n13723 20605\n17481 26227\n94326 100000\n56345 84506\n84974 100000\n62623 93951\n53156 79740\n46431 69620\n22025 33058\n56323 84477\n87642 100000\n90816 100000\n97303 100000\n45225 67772\n93528 100000\n84589 100000\n24770 37134\n30083 45096\n23792 35688\n1723 2587\n8776 13207\n99648 100000\n39436 59077\n49258 73868\n18381 27544\n33415 50119\n19101 28644\n46210 69272\n68966 100000\n1234 1857\n13668 20521\n81577 100000\n51399 77116\n42766 64077\n60068 90129\n66511 99768\n43899 65777\n22382 33592\n82726 100000\n32317 48465\n68324 100000\n89389 100000\n38592 57837\n10526 15845\n39775 59597\n30735 46074\n64390 96602\n90501 100000\n19007 28499\n45738 68555\n54322 81493\n42922 64309\n36314 54462\n109 163\n36242 54344\n54238 81363\n72116 100000\n82379 100000\n46056 69041\n82193 100000\n10746 16186\n92635 100000\n46367 69527\n39385 59004\n45840 68705\n22932 34410\n41560 62290\n48859 73274\n67669 100000\n27399 41063\n54572 81845\n97892 100000\n49977 74956\n52502 78753\n48366 72527\n14974 22468\n44126 66120\n47801 71691\n49467 74186\n38155 57176\n9134 13740\n60371 90573\n65616 98427\n31278 46889\n87446 100000\n54814 82193\n99140 100000\n98946 100000\n49041 73545\n18802 28185\n76804 100000\n20692 31027\n55862 83777\n54031 81057\n8652 13027\n53436 80156\n34460 51679\n15988 23987\n17804 26708\n64279 96436\n27016 40491\n8842 13301\n94450 100000\n60635 90968\n22159 33259\n99054 100000\n99386 100000\n73516 100000\n82251 100000\n56401 84589\n29090 43610\n19811 29704\n44838 67186\n14283 21436\n88156 100000\n98760 100000\n99727 100000\n72643 100000\n31917 47852\n48862 73280\n53133 79707\n47767 71638\n83709 100000\n36019 54013\n88872 100000\n5513 8316\n74410 100000\n1691 2542\n62355 93549\n73181 100000\n11485 17292\n71274 100000\n31397 47070\n40389 60523\n15629 23460\n20173 30258\n10487 15791\n43972 65886\n53634 80467\n73771 100000\n32018 48016\n23094 34651\n45463 68125\n87870 100000\n89689 100000\n54859 82267\n80807 100000\n51526 77296\n38077 57060\n48921 73370\n41674 62464\n94899 100000\n80771 100000\n67365 100000\n65884 98812\n92769 100000\n13549 20348\n83501 100000\n4393 6610\n56227 84332\n17693 26543\n21881 32837\n34812 52217\n72462 100000\n14292 21451\n62257 93398\n14303 21469\n57238 85869\n34507 51752\n85744 100000\n67738 100000\n6889 10402\n14419 21644\n37637 56414\n13321 20017\n84429 100000\n37167 55721\n3358 5045\n65194 97796\n864 1298\n83693 100000\n65823 98725\n95342 100000\n90011 100000\n15053 22584\n48449 72655\n88313 100000\n19465 29182\n28684 42998\n96301 100000\n23906 35855\n44127 66122\n2425 3640\n41861 62743\n79524 100000\n25563 38321\n70510 100000\n53451 80180\n11098 16715\n48636 72947\n52604 78914\n62135 93220\n43882 65751\n23651 35482\n99462 100000\n81553 100000\n61040 91577\n37734 56554\n69577 100000\n36458 54676\n34883 52319\n12237 18423\n872 1309\n22797 34207\n51062 76616\n97212 100000\n24445 36654\n17116 25679\n47210 70796\n81233 100000\n58020 87046\n65070 97610\n54099 81160\n43533 65228\n65015 97531\n38203 57250\n53273 79914\n41933 62852\n68539 100000\n16450 24689\n45197 67731\n43608 65339\n94919 100000\n12634 19011\n14001 21015\n12852 19329\n84333 100000\n79851 100000\n99891 100000\n77593 100000\n61862 92813\n24053 36075\n51169 76773\n5642 8510\n71828 100000\n4516 6790\n61062 91612\n95863 100000\n38141 57155\n93501 100000\n62708 94075\n57041 85567\n89833 100000\n61538 92332\n6204 9365\n98494 100000\n15040 22564\n91492 100000\n24677 36996\n47168 70730\n98923 100000\n20992 31467\n50059 75077\n83071 100000\n13295 19978\n92013 100000\n44144 66145\n21231 31829\n14955 22436\n27114 40643\n18266 27374\n88687 100000\n39898 59785\n43055 64512\n48782 73160\n46384 69553\n27924 41862\n67642 100000\n24 34\n36345 54504\n33339 50001\n93256 100000\n85141 100000\n60727 91106\n78980 100000\n69710 100000\n90990 100000\n66384 99578\n90151 100000\n5349 8075\n7947 11979\n63954 95954\n82930 100000\n13593 20409\n31888 47814\n12171 18322\n85525 100000\n71599 100000\n59553 89349\n41026 61494\n71899 100000\n85661 100000\n25575 38339\n10846 16337\n11512 17329\n50653 75970\n34894 52335\n21494 32228\n15471 23217\n72633 100000\n16938 25399\n47583 71360\n45960 68891\n97724 100000\n7129 10750\n67607 100000\n96721 100000\n67700 100000\n8698 13093\n7051 10636\n9046 13613\n82836 100000\n6935 10468\n40879 61264\n74442 100000\n99413 100000\n71641 100000\n11027 16607\n88547 100000\n24723 37065\n60389 90600\n28495 42720\n54270 81411\n40013 59958\n10735 16170\n68808 100000\n15224 22854\n10459 15748\n36515 54764\n39326 58914\n11875 17867\n60765 91155\n53286 79933\n81278 100000\n28667 42972\n37454 56146\n5797 8742\n32716 49067\n55082 82593\n99690 100000\n98998 100000\n58493 87746\n89482 100000\n63076 94648\n8643 13015\n87649 100000\n4723 7112\n43558 65265\n35967 53937\n92756 100000\n40250 60315\n12657 19047\n44070 66035\n62101 93167\n65593 98390\n93268 100000\n24360 36522\n93663 100000\n49657 74482\n95088 100000\n68953 100000\n50417 75617\n28093 42119\n62758 94152\n75832 100000\n28460 42663\n58589 87888\n2243 3366\n61787 92695\n10220 15398\n71332 100000\n26265 39390\n27978 41950\n72908 100000\n53942 80921\n65001 97512\n19590 29375\n99613 100000\n92808 100000\n87455 100000\n27189 40753\n64940 97418\n59055 88588\n42471 63662\n48541 72799\n71754 100000\n27716 41549\n91564 100000\n78571 100000\n41337 61945\n90310 100000\n57413 86134\n65163 97751\n90435 100000\n92634 100000\n25716 38563\n86354 100000\n60855 91296\n49612 74418\n83722 100000\n55939 83897\n38104 57098\n661 986\n979 1469\n52909 79362\n99043 100000\n50834 76259\n47428 71123\n38036 57001\n58925 88385\n66020 99025\n62079 93135\n57287 85944\n66523 99787\n45398 68031\n16267 24410\n27835 41730\n96253 100000\n82971 100000\n93886 100000\n99600 100000\n86629 100000\n42764 64074\n54086 81143\n89632 100000\n12844 19320\n37363 56017\n79352 100000\n34083 51114\n23765 35650\n25357 38011\n69492 100000\n82947 100000\n89515 100000\n4212 6326\n22611 33927\n20403 30593\n5626 8485\n79831 100000\n82212 100000\n84028 100000\n20460 30677\n38789 58115\n10818 16294\n56960 85441\n88838 100000\n28343 42488\n19371 29039\n2187 3278\n26348 39508\n72589 100000\n71861 100000\n79241 100000\n81502 100000\n57935 86913\n98885 100000\n82395 100000\n56239 84346\n26817 40199\n90098 100000\n13034 19599\n95138 100000\n43290 64874\n57158 85746\n51971 77956\n43373 64988\n51556 77343\n16662 24999\n32187 48265\n64950 97433\n68501 100000\n32678 49010\n27082 40591\n99143 100000\n25234 37830\n50506 75754\n19798 29686\n77223 100000\n91532 100000\n46612 69892\n88058 100000\n20265 30394\n13757 20654\n14135 21213\n73944 100000\n25940 38899\n15024 22541\n53328 79990\n49104 73630\n50238 75344\n71840 100000\n12711 19133\n20363 30531\n22464 33719\n21905 32869\n60553 90854\n68263 100000\n40039 59998\n96951 100000\n64807 97216\n3740 5613\n31410 47094\n66743 100000\n28328 42466\n9215 13859\n1277 1918\n33750 50617\n10924 16452\n55339 82989\n61983 92991\n88003 100000\n35426 53128\n61003 91523\n15294 22953\n66130 99196\n67854 100000\n75471 100000\n13730 20615\n39630 59369\n34692 52042\n45938 68857\n74920 100000\n1394 2096\n89985 100000\n58740 88116\n32501 48746\n74209 100000\n70941 100000\n63595 95410\n99904 100000\n24375 36546\n13364 20083\n7207 10865\n66299 99445\n79121 100000\n40976 61415\n76379 100000\n32743 49109\n74623 100000\n19407 29097\n84411 100000\n87668 100000\n6737 10176\n89030 100000\n66855 100000\n5563 8390\n19064 28586\n94619 100000\n79550 100000\n49009 73496\n46039 69014\n67397 100000\n8801 13243\n21796 32703\n82358 100000\n85761 100000\n14131 21207\n95071 100000\n36848 55262\n19707 29552\n3752 5629\n16557 24844\n55172 82731\n2289 3436\n77753 100000\n95653 100000\n48380 72548\n45176 67699\n24901 37333\n61807 92725\n70078 100000\n78628 100000\n94068 100000\n70875 100000\n53944 80923\n74169 100000\n80937 100000\n1037 1557\n74022 100000\n96165 100000\n79034 100000\n51993 77994\n82121 100000\n53604 80420\n70348 100000\n35062 52583\n63161 94784\n42389 63537\n82362 100000\n11756 17688\n88251 100000\n71956 100000\n20740 31098\n1069 1605\n23104 34664\n11644 17525\n6122 9242\n25254 37860\n82936 100000\n54689 82013\n93171 100000\n87376 100000\n80829 100000\n87077 100000\n78558 100000\n25152 37712\n67772 100000\n18999 28486\n73720 100000\n56690 85032\n35903 53836\n16628 24948\n19659 29478\n66225 99331\n30566 45821\n49860 74779\n72660 100000\n1674 2518\n52795 79190\n27117 40647\n98217 100000\n22470 33727\n55781 83654\n33086 49635\n85216 100000\n95179 100000\n72728 100000\n37938 56854\n47351 71006\n86206 100000\n53676 80528\n9135 13741\n32209 48298\n65014 97530\n13043 19613\n93971 100000\n39394 59018\n66764 100000\n3070 4614\n61243 91883\n83551 100000\n13706 20579\n80244 100000\n85239 100000\n37286 55908\n11094 16709\n21530 32282\n56349 84511\n49561 74338\n69413 100000\n91198 100000\n88845 100000\n80817 100000\n97486 100000\n71433 100000\n75661 100000\n11972 18017\n47677 71506\n22270 33432\n18015 27012\n65024 97545\n49106 73634\n52856 79280\n70785 100000\n63059 94623\n12222 18398\n78195 100000\n44632 66888\n64336 96524\n5043 7605\n10620 15996\n31155 46700\n59028 88543\n21167 31734\n87674 100000\n76719 100000\n98645 100000\n3665 5503\n13256 19923\n11845 17820\n52280 78428\n84160 100000\n13501 20276\n24483 36708\n70066 100000\n36664 54983\n4755 7163\n13476 20243\n13983 20989\n14703 22064\n23359 35052\n42806 64136\n92070 100000\n23841 35755\n4379 6583\n55473 83196\n75693 100000\n47765 71636\n12385 18637\n77101 100000\n43054 64510\n40655 60918\n65672 98507\n38007 56960\n41483 62172\n20011 30015\n12374 18621\n78856 100000\n3687 5536\n6945 10483\n70063 100000\n66580 99873\n17415 26126\n75090 100000\n28950 43398\n11833 17801\n27254 40851\n95823 100000\n72565 100000\n73427 100000\n95238 100000\n76361 100000\n81804 100000\n19967 29944\n98917 100000\n71600 100000\n15742 23620\n35344 53000\n33993 50980\n18735 28090\n79112 100000\n68215 100000\n75414 100000\n10752 16195\n49203 73783\n26625 39917\n61178 91788\n17022 25535\n5114 7715\n97871 100000\n14687 22042\n68698 100000\n96163 100000\n6981 10535\n29846 44748\n93452 100000\n71484 100000\n20397 30583\n56417 84613\n68216 100000\n37818 56678\n89984 100000\n53121 79690\n13661 20512\n80736 100000\n36272 54391\n52072 78113\n1375 2071\n54280 81426\n30282 45385\n79873 100000\n22356 33554\n34572 51858\n69874 100000\n54340 81519\n86647 100000\n24133 36192\n153 231\n51131 76718\n76763 100000\n94925 100000\n70168 100000\n8587 12934\n56093 84119\n32216 48308\n64866 97306\n429 633\n75221 100000\n9398 14136\n85620 100000\n10255 15449\n35955 53920\n96693 100000\n37795 56648\n22729 34100\n30663 45963\n15581 23388\n68822 100000\n62968 94483\n4974 7502\n71919 100000\n26974 40430\n60352 90547\n4338 6526\n35261 52882\n18224 27307\n19860 29778\n21129 31678\n89990 100000\n51605 77421\n14616 21937\n92640 100000\n69099 100000\n98692 100000\n3735 5604\n2198 3291\n76000 100000\n90015 100000\n58712 88071\n36050 54057\n59807 89735\n53284 79930\n72562 100000\n6823 10301\n95183 100000\n73235 100000\n67131 100000\n25494 38217\n43668 65432\n84699 100000\n67655 100000\n75079 100000\n35838 53742\n5403 8154\n47481 71208\n58520 87786\n1306 1965\n36350 54512\n85799 100000\n35429 53133\n87539 100000\n13 18\n61204 91828\n87381 100000\n10070 15172\n80917 100000\n47401 71084\n629 942\n20626 30938\n89787 100000\n51487 77238\n78162 100000\n80623 100000\n82635 100000\n1429 2151\n78495 100000\n70340 100000\n45506 68188\n7423 11185\n18574 27830\n10299 15511\n53069 79604\n33508 50257\n10821 16297\n71785 100000\n10162 15312\n59586 89400\n99685 100000\n38225 57280\n25861 38779\n37784 56630\n61615 92439\n31292 46910\n99003 100000\n1585 2381\n12200 18365\n69928 100000\n68197 100000\n66691 100000\n55620 83412\n77534 100000\n69494 100000\n19278 28907\n34679 52020\n76826 100000\n62143 93233\n95641 100000\n37869 56755\n28320 42454\n90228 100000\n74051 100000\n72284 100000\n89219 100000\n20053 30076\n62003 93022\n80859 100000\n62809 94230\n74641 100000\n91193 100000\n85089 100000\n14129 21204\n5725 8635\n14400 21616\n71719 100000\n22937 34418\n29781 44655\n45772 68607\n66912 100000\n3154 4743\n97883 100000\n14427 21655\n6893 10407\n86487 100000\n65979 98961\n51116 76694\n14104 21168\n4164 6253\n67888 100000\n78108 100000\n57941 86924\n44286 66359\n96215 100000\n4655 7007\n89909 100000\n18480 27693\n65267 97900\n22310 33489\n67023 100000\n45127 67622\n51730 77604\n18069 27088\n85848 100000\n48154 72210\n58891 88334\n83582 100000\n72244 100000\n73822 100000\n32609 48909\n13171 19800\n15221 22849\n34826 52237\n68990 100000\n28898 43327\n25862 38781\n86346 100000\n12126 18253\n50521 75775\n99582 100000\n80405 100000\n81533 100000\n83358 100000\n88712 100000\n12432 18706\n45445 68098\n94195 100000\n29506 44243\n88333 100000\n83061 100000\n95347 100000\n75626 100000\n2516 3778\n26223 39326\n90478 100000\n73369 100000\n93219 100000\n38390 57532\n1774 2658\n90000 100000\n44311 66398\n35088 52621\n58381 87583\n62855 94304\n41316 61913\n11377 17130\n27411 41081\n92312 100000\n31867 47781\n37302 55932\n72041 100000\n83135 100000\n64532 96815\n79922 100000\n88856 100000\n74096 100000\n6925 10454\n15217 22842\n43316 64912\n99418 100000\n42901 64276\n97880 100000\n69068 100000\n57235 85864\n97701 100000\n44380 66500\n51892 77840\n57298 85962\n11108 16728\n53716 80586\n82719 100000\n60455 90702\n77846 100000\n31152 46696\n39844 59704\n11986 18035\n20525 30778\n2861 4297\n53647 80483\n66706 100000\n63331 95019\n52666 79001\n59787 89706\n71885 100000\n48989 73468\n9803 14754\n53635 80468\n2822 4239\n30976 46439\n24145 36210\n59170 88758\n32760 49134\n73799 100000\n90429 100000\n80110 100000\n26196 39285\n27719 41554\n63342 95037\n39776 59599\n79302 100000\n31173 46731\n3726 5590\n18587 27851\n63432 95173\n66250 99367\n85631 100000\n17725 26588\n79731 100000\n86648 100000\n76427 100000\n47712 71557\n91334 100000\n34930 52389\n16102 24160\n60534 90823\n37678 56476\n46579 69841\n78132 100000\n76523 100000\n93087 100000\n74798 100000\n91946 100000\n4675 7041\n37692 56494\n88133 100000\n42559 63785\n35708 53543\n33837 50748\n80148 100000\n20139 30203\n11636 17514\n38809 58142\n1702 2559\n45698 68500\n4258 6404\n77036 100000\n88502 100000\n11298 17013\n83873 100000\n62157 93251\n83270 100000\n56866 85301\n12818 19286\n12579 18932\n14086 21138\n55948 83910\n44408 66546\n61074 91630\n54806 82181\n75545 100000\n28204 42281\n98216 100000\n81323 100000\n39722 59514\n78598 100000\n19091 28629\n48645 72959\n90692 100000\n89994 100000\n5458 8239\n4285 6443\n14861 22294\n73063 100000\n48539 72796\n19935 29894\n61670 92520\n88095 100000\n98137 100000\n27474 41180\n67253 100000\n18845 28249\n96807 100000\n96375 100000\n17610 26419\n77931 100000\n82898 100000\n79077 100000\n33512 50263\n15698 23561\n87011 100000\n28531 42773\n55562 83327\n3808 5714\n56245 84353\n80236 100000\n77240 100000\n21903 32867\n95821 100000\n32284 48415\n88834 100000\n32288 48421\n7413 11171\n51918 77880\n32408 48601\n67090 100000\n39187 58709\n18255 27355\n97786 100000\n94478 100000\n59723 89609\n22586 33893\n55174 82734\n80547 100000\n47134 70680\n39507 59184\n53693 80554\n29077 43594\n7907 11920\n81239 100000\n12051 18141\n90657 100000\n44683 66965\n97865 100000\n68255 100000\n81522 100000\n3453 5196\n20189 30284\n84065 100000\n21287 31912\n26053 39072\n69971 100000\n39164 58672\n98464 100000\n3135 4715\n64787 97185\n48617 72919\n31572 47332\n21048 31557\n58741 88118\n57626 86452\n32811 49209\n77810 100000\n87666 100000\n59415 89136\n46672 69980\n56994 85496\n12593 18951\n66910 100000\n6047 9134\n21264 31879\n58286 87447\n97667 100000\n78700 100000\n33727 50583\n51436 77167\n34304 51441\n46470 69678\n60417 90642\n83089 100000\n52800 79199\n7954 11989\n9869 14852\n39845 59706\n79041 100000\n51807 77714\n14337 21524\n85638 100000\n34035 51042\n84050 100000\n32937 49400\n15384 23090\n21598 32383\n93900 100000\n4028 6045\n53540 80316\n18058 27074\n58570 87864\n61338 92028\n25326 37966\n77130 100000\n89407 100000\n5303 8005\n73209 100000\n77628 100000\n31133 46669\n38471 57653\n2154 3231\n6179 9330\n45294 67875\n73788 100000\n72319 100000\n26824 40208\n69326 100000\n16264 24405\n65425 98137\n94477 100000\n88283 100000\n61570 92378\n85427 100000\n48424 72615\n97469 100000\n66906 100000\n64988 97492\n98204 100000\n46364 69522\n90925 100000\n52342 78519\n65120 97689\n1003 1505\n14717 22083\n83447 100000\n60304 90477\n68705 100000\n6668 10073\n44327 66422\n63488 95258\n40278 60359\n87938 100000\n33454 50181\n63799 95720\n49632 74448\n48072 72090\n74545 100000\n99798 100000\n94841 100000\n17331 26004\n26049 39066\n80411 100000\n9467 14245\n92163 100000\n87306 100000\n29418 44111\n60959 91458\n98926 100000\n23780 35672\n61376 92086\n54407 81609\n2430 3647\n42022 62988\n73168 100000\n53591 80400\n49361 74029\n31897 47826\n75710 100000\n9642 14504\n10596 15957\n87524 100000\n27890 41814\n62889 94357\n33793 50679\n20599 30899\n66715 100000\n9498 14288\n59927 89912\n135 202\n64480 96734\n94251 100000\n48237 72340\n21673 32511\n15776 23670\n58201 87317\n86894 100000\n2234 3350\n29843 44742\n26869 40275\n77138 100000\n61163 91765\n2182 3270\n15926 23891\n92834 100000\n58370 87564\n83631 100000\n44649 66911\n66874 100000\n6278 9478\n56572 84852\n36324 54478\n50560 75832\n81251 100000\n9460 14233\n72251 100000\n1717 2577\n67661 100000\n50126 75179\n67992 100000\n32357 48520\n68106 100000\n70673 100000\n38494 57688\n61841 92779\n83952 100000\n47510 71251\n31171 46727\n18380 27543\n717 1069\n50682 76021\n43611 65342\n20115 30168\n6090 9198\n79813 100000\n50136 75194\n27701 41528\n71140 100000\n20661 30984\n52561 78846\n56676 85012\n87052 100000\n51805 77712\n51161 76762\n15364 23063\n39484 59148\n93988 100000\n62224 93351\n51825 77742\n24347 36506\n32692 49030\n44687 66969\n20430 30629\n40736 61041\n39905 59794\n97430 100000\n40979 61420\n16862 25288\n25935 38892\n49308 73948\n37502 56218\n33252 49877\n27232 40815\n46240 69324\n97225 100000\n90682 100000\n69623 100000\n9509 14303\n33047 49574\n47348 71002\n74930 100000\n92824 100000\n59831 89770\n68051 100000\n51455 77192\n60717 91094\n91526 100000\n19265 28886\n79658 100000\n44099 66080\n12493 18803\n1016 1528\n46048 69029\n48494 72723\n26094 39138\n91442 100000\n70295 100000\n87189 100000\n80644 100000\n76061 100000\n60801 91206\n83432 100000\n58821 88233\n62335 93516\n97305 100000\n52107 78166\n81491 100000\n5964 9009\n61022 91552\n28278 42394\n55810 83698\n38166 57192\n68027 100000\n89410 100000\n21032 31528\n40099 60091\n20815 31202\n41834 62702\n30793 46164\n32698 49040\n95516 100000\n86191 100000\n73860 100000\n83128 100000\n65729 98590\n61718 92598\n70320 100000\n87536 100000\n13057 19636\n517 771\n81135 100000\n73091 100000\n26385 39566\n8056 12135\n30873 46286\n7224 10887\n30161 45209\n90510 100000\n58689 88038\n29926 44868\n78962 100000\n29352 44004\n33962 50928\n76229 100000\n40622 60870\n87324 100000\n48123 72162\n77966 100000\n74319 100000\n78116 100000\n13807 20732\n41918 62832\n78552 100000\n90092 100000\n28941 43388\n35452 53163\n84507 100000\n33361 50035\n6123 9244\n83139 100000\n76075 100000\n57602 86417\n88258 100000\n41088 61589\n32650 48968\n17483 26231\n33524 50282\n79823 100000\n18613 27893\n55236 82825\n71431 100000\n31372 47034\n29149 43698\n46008 68966\n85046 100000\n39025 58469\n22609 33924\n47399 71082\n54942 82384\n30924 46365\n93541 100000\n43320 64917\n78005 100000\n77683 100000\n67979 100000\n11013 16587\n16209 24324\n87873 100000\n743 1113\n68535 100000\n40561 60778\n55703 83536\n80284 100000\n2440 3661\n60427 90660\n59664 89519\n90287 100000\n55397 83079\n97495 100000\n77975 100000\n6974 10526\n86707 100000\n97416 100000\n10623 15999\n2747 4126\n47904 71841\n38202 57249\n80754 100000\n36387 54569\n30643 45930\n56036 84038\n96024 100000\n98609 100000\n78908 100000\n38411 57564\n65557 98333\n28871 43285\n8017 12076\n43812 65642\n12654 19042\n80379 100000\n90303 100000\n14027 21052\n31382 47048\n4115 6179\n53134 79709\n97213 100000\n94341 100000\n98058 100000\n5035 7590\n96234 100000\n39854 59720\n82289 100000\n19449 29160\n81511 100000\n70660 100000\n73029 100000\n47190 70763\n73854 100000\n31363 47019\n98448 100000\n30568 45824\n6323 9553\n315 460\n39519 59204\n92868 100000\n62685 94044\n53117 79685\n68015 100000\n70605 100000\n15613 23436\n32088 48120\n5400 8150\n92260 100000\n52289 78441\n2686 4038\n91484 100000\n79583 100000\n68758 100000\n17471 26213\n4566 6869\n76107 100000\n20613 30918\n36007 53996\n554 834\n98724 100000\n48118 72154\n42668 63944\n94401 100000\n71378 100000\n90543 100000\n81385 100000\n12483 18786\n29738 44591\n73550 100000\n43135 64631\n17494 26248\n46281 69393\n61019 91547\n8683 13072\n97433 100000\n79087 100000\n7992 12042\n78172 100000\n32352 48513\n61514 92294\n66385 99580\n89212 100000\n99973 100000\n57745 86631\n74519 100000\n15092 22647\n48011 71995\n46791 70171\n81077 100000\n30096 45116\n55038 82524\n1199 1808\n27810 41687\n41212 61764\n62230 93359\n94816 100000\n80667 100000\n93453 100000\n69599 100000\n51849 77775\n18702 28038\n87948 100000\n9039 13604\n36326 54481\n36884 55313\n40299 60391\n29349 44000\n14174 21271\n51673 77522\n46012 68973\n24860 37270\n45370 67989\n59912 89890\n86627 100000\n65793 98681\n94756 100000\n90878 100000\n19368 29035\n37754 56586\n24793 37171\n12094 18202\n27577 41340\n71511 100000\n61614 92438\n50686 76027\n99601 100000\n99270 100000\n50638 75946\n37843 56718\n20725 31076\n80147 100000\n98113 100000\n13522 20306\n65284 97924\n19227 28829\n3426 5151\n67039 100000\n58704 88061\n68211 100000\n34432 51637\n84079 100000\n53005 79505\n8930 13434\n28172 42233\n68760 100000\n48452 72659\n47406 71091\n87030 100000\n19600 29388\n17342 26022\n69789 100000\n42319 63431\n46075 69072\n25730 38583\n16407 24627\n73006 100000\n13035 19601\n71662 100000\n96395 100000\n94121 100000\n58983 88476\n39080 58545\n41625 62390\n87523 100000\n20387 30568\n55444 83152\n89433 100000\n51225 76860\n97258 100000\n60926 91406\n53710 80578\n57020 85536\n6444 9731\n31151 46695\n52737 79106\n81583 100000\n94622 100000\n82099 100000\n10640 16025\n19072 28598\n89552 100000\n79579 100000\n59624 89459\n84247 100000\n21227 31823\n48915 73363\n96710 100000\n52318 78483\n32917 49368\n15350 23042\n16391 24604\n71716 100000\n96982 100000\n33752 50620\n67621 100000\n29261 43871\n86966 100000\n37770 56610\n42031 63001\n22063 33112\n15530 23308\n82602 100000\n17034 25556\n64394 96607\n92216 100000\n54008 81024\n64513 96785\n57930 86906\n93939 100000\n14867 22303\n61990 93001\n13159 19784\n81290 100000\n63403 95131\n99186 100000\n60119 90206\n13485 20254\n55889 83819\n60991 91505\n39579 59294\n23166 34755\n27230 40812\n55790 83668\n57797 86704\n22023 33054\n32975 49461\n40612 60854\n27143 40687\n79316 100000\n77805 100000\n77281 100000\n29387 44059\n92556 100000\n35765 53633\n504 753\n69408 100000\n70270 100000\n18049 27062\n69090 100000\n26544 39795\n67324 100000\n78199 100000\n87027 100000\n23776 35666\n95243 100000\n70694 100000\n71714 100000\n23491 35246\n43632 65376\n65227 97843\n71950 100000\n8082 12173\n9921 14937\n81160 100000\n20434 30636\n70786 100000\n7893 11898\n25910 38853\n42979 64395\n79795 100000\n62310 93476\n79142 100000\n86135 100000\n91833 100000\n46548 69799\n8863 13333\n51295 76963\n64606 96922\n73049 100000\n38952 58360\n65099 97655\n96414 100000\n36652 54967\n66565 99851\n15361 23059\n78674 100000\n34423 51625\n41416 62069\n37255 55855\n30264 45357\n37952 56877\n35550 53311\n58407 87619\n7450 11229\n62777 94182\n8959 13477\n52629 78949\n78819 100000\n22352 33548\n49663 74493\n35485 53211\n9554 14374\n27702 41529\n29359 44016\n63175 94804\n20633 30947\n37716 56529\n49939 74896\n17120 25686\n47675 71503\n25000 37482\n77222 100000\n45103 67585\n42494 63691\n9829 14792\n18464 27668\n49342 73997\n14111 21178\n76299 100000\n89424 100000\n2491 3740\n67576 100000\n33495 50240\n35417 53114\n2779 4176\n30843 46241\n16155 24238\n19134 28694\n13255 19922\n42739 64039\n54860 82268\n89624 100000\n7517 11328\n86167 100000\n18353 27504\n30400 45552\n69967 100000\n35548 53308\n79446 100000\n5826 8785\n41926 62843\n75869 100000\n72857 100000\n71271 100000\n70621 100000\n20717 31065\n14108 21174\n65201 97807\n89388 100000\n19189 28777\n62175 93275\n24119 36171\n15090 22643\n10279 15484\n92959 100000\n6404 9674\n31669 47479\n49758 74631\n27841 41740\n16323 24503\n69385 100000\n71080 100000\n36029 54030\n5855 8830\n72346 100000\n36772 55148\n39286 58851\n23713 35574\n13977 20979\n9860 14839\n81727 100000\n57027 85546\n61500 92271\n28412 42592\n66402 99605\n98360 100000\n76884 100000\n21387 32067\n84925 100000\n30655 45951\n37430 56113\n93296 100000\n34608 51910\n69158 100000\n77840 100000\n69840 100000\n59725 89612\n17680 26523\n53302 79956\n25432 38127\n84416 100000\n30347 45477\n54249 81380\n87554 100000\n57406 86125\n25190 37767\n84816 100000\n59925 89909\n93187 100000\n94981 100000\n49688 74535\n37979 56917\n36728 55083\n26122 39180\n32039 48047\n88882 100000\n10828 16308\n32673 49004\n94706 100000\n45648 68417\n72382 100000\n16775 25160\n37072 55586\n23510 35273\n23774 35663\n28084 42107\n42899 64273\n50992 76511\n92448 100000\n36683 55010\n96225 100000\n10713 16138\n55510 83252\n88611 100000\n49849 74761\n15119 22685\n69860 100000\n86077 100000\n27571 41332\n86381 100000\n44592 66833\n946 1420\n70450 100000\n31717 47558\n76141 100000\n68746 100000\n15134 22710\n63174 94803\n84128 100000\n76395 100000\n83493 100000\n89231 100000\n88952 100000\n22957 34448\n77187 100000\n84700 100000\n30072 45078\n19354 29017\n28774 43130\n31411 47095\n5319 8028\n83653 100000\n63385 95102\n52231 78356\n57032 85555\n52968 79447\n67955 100000\n67393 100000\n97081 100000\n6969 10518\n78161 100000\n7485 11282\n97398 100000\n99183 100000\n11706 17615\n43773 65585\n38381 57520\n94670 100000\n10319 15543\n5508 8308\n16164 24253\n81524 100000\n92651 100000\n15009 22519\n17602 26407\n52824 79233\n35671 53495\n35538 53293\n20866 31277\n76176 100000\n63071 94642\n9447 14212\n42709 63996\n20379 30556\n65438 98156\n33959 50923\n67844 100000\n17441 26164\n39667 59429\n25838 38748\n15433 23163\n30187 45244\n91785 100000\n3858 5789\n62431 93661\n93964 100000\n8524 12837\n4691 7066\n5389 8135\n56148 84207\n76549 100000\n61203 91827\n9620 14470\n77865 100000\n5918 8934\n22353 33550\n23259 34899\n12436 18713\n41611 62373\n70202 100000\n54514 81764\n72709 100000\n90698 100000\n75046 100000\n37912 56819\n54380 81574\n777 1167\n67708 100000\n43100 64578\n89761 100000\n61639 92474\n61625 92452\n69473 100000\n68177 100000\n41326 61929\n45510 68195\n78358 100000\n49887 74819\n54260 81396\n83878 100000\n23757 35640\n27326 40955\n52555 78837\n58357 87550\n61822 92749\n78024 100000\n85831 100000\n83191 100000\n84496 100000\n24595 36869\n55718 83559\n55496 83231\n3116 4683\n5180 7816\n70616 100000\n63176 94805\n78364 100000\n70296 100000\n13761 20659\n29824 44715\n20861 31270\n76169 100000\n52410 78622\n10561 15901\n7208 10866\n16097 24152\n91304 100000\n54990 82451\n67946 100000\n40443 60604\n10315 15537\n24021 36025\n32620 48924\n39935 59843\n69137 100000\n39687 59459\n8054 12132\n31134 46671\n20064 30093\n15831 23749\n7301 11005\n26308 39452\n26504 39736\n93557 100000\n94977 100000\n29534 44285\n1925 2877\n65594 98392\n6521 9853\n66973 100000\n42368 63508\n43715 65499\n21512 32256\n71692 100000\n96265 100000\n2910 4374\n31385 47053\n93181 100000\n44450 66614\n1055 1584\n23290 34945\n44011 65942\n89178 100000\n28286 42405\n92029 100000\n81313 100000\n22764 34155\n40993 61442\n57763 86657\n72059 100000\n54215 81327\n13675 20530\n40429 60584\n90784 100000\n41422 62078\n60246 90396\n80306 100000\n81623 100000\n73256 100000\n17320 25987\n53808 80723\n69819 100000\n76817 100000\n34034 51041\n46526 69764\n74726 100000\n83156 100000\n80264 100000\n25331 37972\n94100 100000\n60821 91238\n15584 23391\n43014 64448\n52898 79345\n37380 56044\n60724 91102\n81015 100000\n35196 52787\n8948 13462\n61732 92619\n22849 34286\n76925 100000\n51812 77720\n54803 82177\n94107 100000\n81813 100000\n30569 45825\n92214 100000\n94143 100000\n8703 13101\n25796 38679\n25809 38701\n1718 2579\n55002 82467\n25814 38710\n41923 62839\n9755 14677\n64832 97253\n61005 91527\n99901 100000\n36179 54252\n67400 100000\n86220 100000\n15222 22851\n67524 100000\n20014 30018\n14176 21275\n25279 37896\n57427 86154\n58387 87590\n17764 26648\n41444 62112\n14641 21973\n89100 100000\n62675 94029\n55218 82793\n80759 100000\n46759 70118\n80674 100000\n2885 4335\n82601 100000\n36586 54871\n52344 78522\n28012 42005\n3483 5237\n62294 93451\n66177 99264\n53488 80236\n91995 100000\n83449 100000\n74542 100000\n20258 30382\n66291 99434\n15674 23525\n71987 100000\n80813 100000\n4803 7232\n47142 70690\n50983 76496\n35960 53927\n44629 66884\n13999 21013\n997 1498\n77466 100000\n55289 82913\n34781 52173\n84825 100000\n67891 100000\n20198 30297\n96990 100000\n78661 100000\n17162 25750\n83419 100000\n44359 66465\n11688 17587\n24447 36658\n74824 100000\n71071 100000\n71608 100000\n62508 93771\n47396 71076\n23135 34711\n38434 57599\n62287 93439\n26811 40190\n71559 100000\n53636 80469\n66249 99365\n44190 66215\n96023 100000\n24359 36521\n76963 100000\n4233 6363\n46675 69984\n22291 33461\n37450 56140\n45417 68057\n7587 11432\n11804 17753\n7333 11052\n32050 48065\n8251 12415\n2334 3510\n5614 8466\n85868 100000\n12741 19175\n90296 100000\n21066 31583\n58377 87576\n23149 34731\n42081 63075\n76136 100000\n25038 37545\n41445 62114\n13799 20718\n98440 100000\n46403 69580\n38448 57621\n71560 100000\n69371 100000\n81853 100000\n35759 53624\n6581 9940\n39196 58722\n69196 100000\n75730 100000\n7987 12035\n15758 23644\n57680 86534\n16054 24090\n61611 92435\n36071 54087\n76815 100000\n72340 100000\n82301 100000\n29924 44865\n7702 11610\n15045 22572\n4787 7211\n2471 3709\n59968 89976\n26573 39838\n44107 66095\n78130 100000\n46711 70042\n11280 16986\n13539 20331\n99179 100000\n63057 94619\n58230 87361\n59172 88761\n56064 84078\n80802 100000\n39442 59084\n61172 91780\n83258 100000\n47014 70510\n26535 39782\n40083 60067\n73877 100000\n99730 100000\n29235 43829\n64211 96331\n78026 100000\n53475 80219\n56520 84769\n10318 15542\n68084 100000\n3962 5946\n86720 100000\n79909 100000\n15546 23331\n49832 74736\n99191 100000\n78853 100000\n87086 100000\n17105 25661\n84757 100000\n24801 37184\n66251 99369\n19172 28749\n66361 99544\n68871 100000\n61511 92289\n67884 100000\n59457 89198\n39818 59661\n7020 10589\n52683 79026\n44937 67334\n1443 2171\n45867 68744\n2142 3211\n10079 15185\n40272 60348\n88394 100000\n55680 83502\n67800 100000\n6962 10506\n34331 51483\n16411 24631\n86758 100000\n73308 100000\n31713 47550\n88576 100000\n13542 20336\n93601 100000\n92123 100000\n16513 24781\n78369 100000\n36188 54265\n94256 100000\n58115 87190\n77475 100000\n97650 100000\n60237 90383\n92733 100000\n9973 15023\n32557 48834\n43579 65293\n1747 2621\n88664 100000\n62640 93978\n46665 69967\n54985 82442\n94045 100000\n81257 100000\n22801 34213\n92040 100000\n95597 100000\n39779 59605\n49425 74125\n3540 5313\n35705 53539\n36982 55458\n41947 62874\n6934 10466\n40723 61021\n54688 82011\n35865 53784\n68181 100000\n49401 74089\n5779 8716\n16451 24691\n83229 100000\n13523 20308\n44439 66596\n88961 100000\n24243 36353\n90684 100000\n61334 92021\n47667 71490\n48373 72538\n29270 43886\n34731 52098\n51082 76643\n96985 100000\n39524 59212\n47139 70687\n86282 100000\n34848 52268\n79803 100000\n30717 46044\n22365 33567\n90638 100000\n59868 89825\n59974 89984\n75124 100000\n15837 23758\n26981 40440\n13234 19891\n82645 100000\n40616 60860\n80549 100000\n28956 43407\n71954 100000\n91437 100000\n36691 55022\n13482 20250\n11574 17425\n45779 68618\n15566 23365\n51275 76934\n74249 100000\n8907 13402\n3848 5774\n33890 50823\n26789 40157\n88408 100000\n76004 100000\n93757 100000\n82306 100000\n58119 87196\n41224 61784\n90560 100000\n14211 21327\n98517 100000\n47851 71763\n40724 61023\n62382 93589\n96455 100000\n58535 87809\n85132 100000\n42703 63989\n46842 70247\n93015 100000\n4455 6707\n84891 100000\n83919 100000\n71115 100000\n45945 68868\n4470 6727\n29059 43566\n98413 100000\n29953 44909\n66647 99977\n36650 54965\n14796 22200\n12271 18473\n36339 54495\n32215 48307\n21798 32706\n56877 85317\n78090 100000\n62393 93604\n76179 100000\n33976 50952\n83356 100000\n41099 61604\n82912 100000\n32123 48169\n39028 58475\n8050 12125\n67123 100000\n29713 44550\n80634 100000\n9606 14448\n28498 42725\n76477 100000\n53925 80897\n28581 42842\n5905 8914\n3890 5842\n59541 89329\n54277 81422\n82242 100000\n3802 5704\n11261 16958\n99717 100000\n36369 54541\n61359 92062\n69132 100000\n52026 78045\n11726 17644\n54186 81284\n31127 46660\n12625 18998\n37091 55613\n54680 82001\n45865 68742\n22006 33028\n47084 70605\n53690 80548\n61506 92281\n1057 1587\n74505 100000\n44007 65936\n30200 45263\n65273 97908\n71087 100000\n66931 100000\n86437 100000\n17215 25826\n5407 8159\n39475 59136\n58974 88463\n31865 47778\n87317 100000\n37875 56764\n71325 100000\n81002 100000\n74011 100000\n49990 74977\n5073 7649\n69778 100000\n36665 54984\n86202 100000\n44255 66311\n53364 80039\n89273 100000\n57337 86018\n20974 31442\n94360 100000\n50309 75453\n35597 53383\n45670 68455\n68526 100000\n20538 30799\n39378 58991\n74 113\n97440 100000\n31089 46604\n27020 40499\n82169 100000\n49373 74048\n21799 32707\n22737 34112\n7881 11879\n92238 100000\n60843 91277\n49811 74705\n1755 2631\n66803 100000\n77002 100000\n36320 54471\n43362 64975\n62452 93690\n26241 39354\n28916 43353\n17181 25777\n14878 22321\n79935 100000\n39300 58875\n86639 100000\n97508 100000\n47043 70550\n85931 100000\n66950 100000\n79190 100000\n88893 100000\n41116 61631\n18824 28219\n21402 32091\n9749 14666\n80950 100000\n3337 5016\n47291 70918\n65564 98344\n74348 100000\n51423 77148\n91697 100000\n72486 100000\n22657 33995\n63868 95825\n3737 5608\n47684 71515\n56143 84198\n35694 53524\n27477 41183\n67746 100000\n11580 17434\n89695 100000\n57737 86619\n1611 2417\n45962 68894\n70602 100000\n45376 67999\n84912 100000\n37220 55800\n17524 26291\n63669 95522\n63982 95996\n15927 23893\n30199 45261\n54954 82401\n3382 5082\n6192 9349\n53348 80015\n20078 30113\n11059 16654\n37319 55954\n14755 22142\n61850 92792\n90540 100000\n99073 100000\n30333 45457\n85599 100000\n527 790\n27991 41972\n64241 96377\n6554 9900\n40269 60344\n85752 100000\n95470 100000\n2519 3783\n16001 24008\n11102 16720\n27755 41605\n50771 76162\n25040 37548\n81419 100000\n77658 100000\n65936 98894\n8412 12665\n89700 100000\n45324 67918\n46017 68979\n42123 63139\n19610 29406\n45989 68936\n63641 95479\n72630 100000\n9200 13839\n25886 38816\n27498 41217\n52262 78403\n98435 100000\n6759 10206\n25175 37743\n32059 48078\n89703 100000\n54998 82461\n58814 88223\n96067 100000\n4400 6623\n75261 100000\n46499 69722\n40047 60010\n40785 61121\n2644 3973\n84956 100000\n55818 83710\n83903 100000\n20949 31406\n46520 69754\n35437 53142\n21640 32456\n42018 62982\n84111 100000\n39556 59258\n96780 100000\n94598 100000\n74031 100000\n3649 5478\n35830 53730\n3041 4573\n44289 66364\n16326 24507\n36287 54417\n20871 31286\n82315 100000\n11222 16898\n56869 85305\n37584 56340\n44330 66427\n2758 4144\n44899 67280\n67092 100000\n20958 31420\n42041 63016\n21093 31622\n91889 100000\n42117 63131\n68978 100000\n84501 100000\n8480 12769\n95856 100000\n97510 100000\n67574 100000\n67256 100000\n94242 100000\n90647 100000\n18961 28426\n88775 100000\n85051 100000\n4104 6163\n59381 89088\n95567 100000\n41646 62426\n7117 10730\n4270 6423\n78334 100000\n94480 100000\n38421 57580\n32282 48411\n51697 77559\n56481 84711\n20235 30349\n98406 100000\n16976 25463\n73838 100000\n39099 58572\n80195 100000\n90220 100000\n17556 26340\n15916 23876\n51026 76561\n50690 76033\n91391 100000\n76675 100000\n262 385\n10096 15212\n3082 4631\n21715 32573\n69596 100000\n20560 30836\n54665 81979\n93013 100000\n36695 55028\n91155 100000\n13416 20161\n50363 75533\n15156 22743\n51839 77763\n333 486\n53288 79936\n27005 40475\n65268 97902\n13869 20825\n50185 75267\n17874 26816\n52803 79204\n2205 3305\n76251 100000\n6949 10488\n2931 4409\n8268 12439\n39571 59280\n17612 26422\n5409 8162\n15029 22548\n87611 100000\n1001 1503\n98854 100000\n21619 32420\n81599 100000\n68735 100000\n5332 8049\n98370 100000\n16922 25374\n17308 25968\n34343 51504\n34280 51403\n96749 100000\n87883 100000\n30059 45060\n85246 100000\n11624 17500\n37704 56511\n32247 48356\n82330 100000\n15414 23133\n60242 90388\n4229 6356\n32676 49008\n98210 100000\n11500 17313\n83345 100000\n60380 90585\n68552 100000\n10155 15301\n51757 77641\n57861 86800\n88171 100000\n31421 47109\n21969 32967\n58522 87790\n67281 100000\n36263 54377\n36396 54581\n10493 15798\n53606 80423\n12921 19425\n2016 3016\n98591 100000\n44108 66096\n92175 100000\n44885 67259\n27625 41415\n65276 97911\n57412 86132\n47189 70762\n30273 45371\n96614 100000\n31380 47046\n65713 98566\n7211 10869\n51824 77740\n25932 38889\n90211 100000\n86304 100000\n31520 47255\n19784 29664\n5021 7572\n50987 76503\n41792 62639\n5528 8337\n91291 100000\n11805 17755\n58742 88119\n29730 44578\n49006 73492\n64512 96784\n88916 100000\n31182 46745\n96949 100000\n48310 72446\n19607 29401\n72522 100000\n20522 30773\n43697 65472\n49371 74045\n745 1117\n35030 52535\n29245 43844\n51952 77929\n99942 100000\n70372 100000\n49773 74656\n57380 86088\n32029 48031\n72186 100000\n81231 100000\n58815 88224\n97533 100000\n12927 19432\n25221 37811\n7314 11023\n38720 58012\n94382 100000\n57082 85631\n13798 20717\n39193 58718\n73798 100000\n26399 39588\n40607 60846\n9718 14619\n57803 86712\n80054 100000\n19997 29994\n43587 65308\n68447 100000\n84052 100000\n49787 74674\n51956 77935\n14328 21508\n74098 100000\n51346 77044\n12701 19117\n71455 100000\n55466 83185\n95469 100000\n78975 100000\n62990 94518\n20212 30316\n29829 44722\n47775 71651\n16382 24588\n32224 48320\n52860 79287\n72844 100000\n81270 100000\n75882 100000\n48488 72714\n27235 40820\n2757 4143\n82170 100000\n36413 54610\n86392 100000\n51823 77739\n93951 100000\n59696 89566\n53836 80765\n33120 49687\n93156 100000\n13156 19778\n91458 100000\n2657 3990\n74266 100000\n6732 10170\n57219 85837\n62321 93492\n15386 23094\n22293 33464\n48086 72113\n77789 100000\n42956 64358\n5321 8032\n49196 73774\n30600 45870\n79021 100000\n23816 35721\n75441 100000\n69646 100000\n66097 99148\n82959 100000\n60402 90619\n17912 26865\n3710 5569\n53565 80357\n69966 100000\n38741 58041\n68080 100000\n20854 31260\n21852 32787\n71781 100000\n76414 100000\n12528 18853\n1282 1927\n80348 100000\n64153 96248\n7022 10591\n5261 7937\n92609 100000\n52670 79006\n83234 100000\n76064 100000\n46380 69546\n60966 91469\n64758 97149\n30079 45090\n12886 19377\n54723 82064\n74047 100000\n93339 100000\n86547 100000\n40903 61302\n52713 79073\n18296 27415\n57793 86699\n91610 100000\n81412 100000\n13534 20324\n53567 80361\n46668 69972\n8911 13408\n43205 64738\n61426 92160\n99986 100000\n63616 95444\n54169 81259\n8183 12321\n95660 100000\n77035 100000\n67919 100000\n40739 61046\n86271 100000\n22964 34461\n87379 100000\n8608 12964\n15877 23818\n97950 100000\n89223 100000\n32025 48026\n66673 100000\n82674 100000\n86001 100000\n3538 5311\n72491 100000\n95544 100000\n66867 100000\n35815 53706\n9204 13844\n89769 100000\n80733 100000\n84809 100000\n85548 100000\n9931 14955\n35604 53393\n97464 100000\n45203 67740\n14848 22279\n36361 54529\n5331 8047\n76476 100000\n7743 11677\n50633 75940\n579 870\n19737 29599\n98106 100000\n1906 2854\n85950 100000\n62501 93762\n51426 77153\n91632 100000\n32538 48804\n20528 30782\n11065 16663\n11372 17123\n2146 3217\n67362 100000\n58252 87394\n32545 48816\n6496 9811\n11531 17358\n50788 76186\n72838 100000\n78693 100000\n82949 100000\n88193 100000\n50901 76367\n83475 100000\n52981 79467\n81587 100000\n22447 33699\n61123 91705\n83880 100000\n94444 100000\n34600 51897\n65293 97937\n96190 100000\n73949 100000\n32588 48876\n87996 100000\n48426 72618\n26801 40175\n91708 100000\n86178 100000\n77139 100000\n34116 51161\n90275 100000\n50241 75349\n10945 16485\n60488 90750\n5477 8263\n89716 100000\n84797 100000\n4642 6986\n33966 50933\n57420 86145\n81858 100000\n48908 73352\n45104 67586\n60481 90741\n24510 36746\n83194 100000\n78433 100000\n52171 78266\n92604 100000\n52758 79134\n3413 5129\n25343 37989\n56598 84897\n57633 86463\n38760 58069\n7167 10804\n11348 17084\n41387 62020\n94111 100000\n86147 100000\n72676 100000\n84968 100000\n20759 31129\n39589 59311\n65301 97949\n75405 100000\n94064 100000\n18552 27802\n5922 8940\n27914 41848\n61924 92904\n92539 100000\n53267 79905\n78347 100000\n90046 100000\n96434 100000\n66150 99225\n20829 31223\n90982 100000\n45154 67665\n72916 100000\n14958 22441\n78660 100000\n22997 34507\n13651 20494\n18713 28057\n97835 100000\n45861 68737\n83301 100000\n78236 100000\n90377 100000\n29334 43979\n91537 100000\n67310 100000\n65002 97513\n66283 99423\n85225 100000\n66458 99687\n19323 28972\n22674 34019\n91123 100000\n24010 36012\n37120 55655\n83391 100000\n52193 78300\n32679 49011\n43742 65541\n31192 46756\n90573 100000\n8235 12392\n31243 46835\n52720 79082\n98414 100000\n58620 87937\n73067 100000\n17131 25702\n4290 6452\n96852 100000\n92310 100000\n36530 54789\n62036 93068\n90936 100000\n99670 100000\n12746 19181\n37025 55514\n63833 95771\n78174 100000\n44773 67094\n18009 27003\n93929 100000\n78653 100000\n38666 57935\n13725 20607\n76480 100000\n8457 12731\n97011 100000\n72078 100000\n37486 56195\n76934 100000\n53691 80550\n44141 66140\n38016 56972\n94799 100000\n26033 39040\n48260 72376\n11479 17283\n30812 46194\n98175 100000\n76446 100000\n12538 18869\n32116 48160\n91562 100000\n72509 100000\n29768 44637\n47688 71521\n39336 58927\n27168 40722\n67813 100000\n10510 15824\n25422 38113\n83871 100000\n20831 31227\n35679 53504\n28644 42937\n47864 71782\n96324 100000\n22223 33363\n1710 2568\n88217 100000\n82437 100000\n99368 100000\n71281 100000\n30785 46151\n22125 33208\n2908 4370\n81600 100000\n82014 100000\n56288 84421\n40527 60727\n28473 42685\n62959 94470\n44125 66118\n76640 100000\n3257 4894\n58278 87434\n31112 46640\n25944 38907\n26346 39505\n14640 21972\n81007 100000\n12394 18651\n48024 72016\n55048 82537\n35722 53564\n98041 100000\n84388 100000\n40686 60965\n4255 6399\n98534 100000\n21683 32526\n81998 100000\n53641 80475\n54698 82028\n19797 29684\n75025 100000\n32512 48763\n51025 76560\n85703 100000\n33152 49735\n45105 67587\n17824 26737\n41938 62860\n63581 95389\n95642 100000\n99121 100000\n79064 100000\n22928 34404\n31257 46858\n78250 100000\n44523 66725\n8584 12930\n9066 13642\n510 762\n3750 5627\n22775 34170\n89202 100000\n42300 63403\n181 269\n76388 100000\n60792 91193\n15105 22664\n50752 76136\n86882 100000\n66143 99215\n43767 65578\n89592 100000\n36796 55185\n50252 75366\n28231 42322\n1229 1848\n6858 10355\n11839 17811\n84180 100000\n20406 30596\n58625 87945\n33960 50925\n23972 35957\n57346 86034\n31034 46522\n78941 100000\n91419 100000\n36918 55364\n58420 87641\n29168 43729\n84954 100000\n7261 10946\n19043 28556\n8925 13427\n84281 100000\n79683 100000\n18278 27390\n67798 100000\n73716 100000\n54774 82136\n7077 10671\n4264 6414\n98810 100000\n44721 67017\n47572 71344\n51144 76736\n73691 100000\n40396 60535\n45117 67605\n75085 100000\n88007 100000\n93614 100000\n3846 5771\n96389 100000\n97090 100000\n15973 23964\n54467 81692\n11650 17533\n13431 20184\n69996 100000\n87047 100000\n55195 82761\n73918 100000\n13587 20400\n69862 100000\n58652 87985\n11752 17682\n70089 100000\n84631 100000\n53404 80103\n4682 7052\n34970 52453\n80024 100000\n27692 41513\n99429 100000\n40306 60400\n59680 89543\n317 463\n13559 20363\n83963 100000\n55711 83549\n20372 30546\n37122 55658\n69115 100000\n89221 100000\n75082 100000\n90081 100000\n82230 100000\n70756 100000\n49233 73829\n13595 20411\n26160 39235\n76717 100000\n79589 100000\n40898 61295\n56097 84126\n33538 50301\n78718 100000\n27794 41663\n2407 3615\n79688 100000\n50146 75209\n84947 100000\n84856 100000\n40553 60766\n12678 19081\n47804 71695\n56625 84937\n51936 77907\n90618 100000\n45381 68006\n89177 100000\n26376 39552\n62792 94204\n15303 22966\n79966 100000\n43691 65464\n11436 17218\n37259 55861\n66467 99702\n59764 89672\n488 729\n13577 20385\n46912 70352\n60668 91017\n50743 76121\n69229 100000\n95016 100000\n60151 90255\n54298 81454\n66700 100000\n70330 100000\n21907 32872\n98397 100000\n34838 52254\n69010 100000\n92907 100000\n39064 58522\n33492 50236\n32958 49434\n19668 29491\n50482 75715\n24665 36979\n31769 47630\n12632 19007\n54854 82259\n73641 100000\n29917 44853\n80757 100000\n76943 100000\n10297 15507\n67315 100000\n1677 2523\n89875 100000\n44192 66219\n65889 98820\n76467 100000\n1283 1929\n20511 30757\n71033 100000\n39543 59240\n52630 78950\n39140 58631\n56270 84391\n38006 56959\n8879 13356\n33137 49714\n2105 3157\n44369 66483\n50104 75142\n80262 100000\n81121 100000\n78388 100000\n44018 65953\n17304 25963\n19288 28921\n58933 88399\n22425 33663\n54271 81412\n80109 100000\n52282 78431\n70951 100000\n10403 15669\n89675 100000\n78918 100000\n18563 27816\n73648 100000\n84975 100000\n5238 7901\n34576 51864\n13720 20602\n44140 66139\n60029 90067\n43474 65138\n56479 84708\n23503 35262\n86298 100000\n24208 36303\n58822 88235\n58657 87993\n77833 100000\n5775 8710\n79961 100000\n55332 82977\n78419 100000\n21333 31983\n31755 47611\n63289 94961\n79228 100000\n98853 100000\n61580 92393\n76765 100000\n34993 52485\n52847 79268\n23113 34677\n81249 100000\n27585 41353\n16043 24073\n87849 100000\n73745 100000\n47161 70718\n62296 93454\n86722 100000\n30723 46052\n8797 13238\n23036 34563\n44517 66714\n84227 100000\n9573 14401\n78226 100000\n88798 100000\n82259 100000\n64828 97247\n44634 66892\n44544 66761\n20066 30096\n9126 13727\n35256 52875\n68295 100000\n16874 25305\n43510 65192\n54181 81279\n1385 2084\n68087 100000\n66459 99688\n15164 22755\n60935 91420\n61362 92065\n11943 17972\n79663 100000\n30722 46051\n86014 100000\n39073 58535\n26324 39475\n36436 54641\n67504 100000\n43303 64891\n15367 23068\n8133 12245\n83803 100000\n33614 50413\n7889 11892\n42276 63368\n91801 100000\n56269 84389\n31255 46855\n66734 100000\n71089 100000\n24364 36528\n3075 4622\n61644 92482\n31299 46922\n50244 75354\n71733 100000\n53044 79565\n63007 94543\n80744 100000\n29401 44082\n21670 32505\n52047 78075\n19687 29520\n9950 14987\n65930 98883\n7885 11885\n67003 100000\n5415 8171\n50248 75360\n84649 100000\n1151 1738\n92928 100000\n53415 80121\n95398 100000\n22375 33581\n8209 12357\n61999 93014\n90088 100000\n26990 40454\n42385 63531\n37061 55569\n19344 29004\n58894 88338\n47850 71762\n68517 100000\n39209 58741\n84567 100000\n86809 100000\n47008 70499\n52908 79361\n8482 12772\n20794 31176\n1635 2455\n13502 20277\n52859 79285\n35518 53265\n74889 100000\n14272 21416\n79657 100000\n78916 100000\n41696 62499\n9448 14213\n32271 48391\n86674 100000\n50067 75087\n20282 30417\n97399 100000\n56504 84743\n90174 100000\n63058 94621\n17218 25830\n52405 78613\n71067 100000\n95656 100000\n44074 66043\n22896 34356\n79492 100000\n61282 91939\n78434 100000\n18757 28122\n43081 64552\n38167 57194\n40315 60410\n53526 80293\n37383 56049\n4757 7167\n52284 78433\n22501 33767\n27052 40550\n29411 44099\n78803 100000\n85828 100000\n99604 100000\n13618 20444\n16632 24954\n75904 100000\n57141 85723\n1323 1990\n94319 100000\n76729 100000\n69585 100000\n3306 4972\n38276 57362\n36156 54219\n73517 100000\n21455 32171\n50372 75547\n8060 12141\n85438 100000\n54852 82256\n26880 40292\n83738 100000\n3172 4767\n72938 100000\n43990 65914\n80720 100000\n55737 83585\n41615 62378\n33813 50710\n28483 42700\n44549 66770\n3681 5527\n33722 50576\n22813 34229\n17551 26332\n31488 47208\n52927 79387\n60263 90419\n34761 52141\n32428 48631\n6755 10200\n25225 37817\n67286 100000\n72877 100000\n93966 100000\n65764 98639\n55793 83672\n48286 72410\n24310 36452\n31512 47244\n57047 85577\n75213 100000\n94877 100000\n43560 65268\n19233 28836\n40453 60619\n42273 63362\n16511 24779\n67236 100000\n49124 73662\n77459 100000\n54307 81469\n69355 100000\n46105 69116\n14865 22301\n59310 88980\n91057 100000\n81812 100000\n70362 100000\n16120 24187\n43050 64504\n75750 100000\n50553 75821\n59676 89537\n4753 7161\n78755 100000\n50199 75291\n97445 100000\n45284 67857\n28158 42214\n71284 100000\n84176 100000\n55611 83400\n79957 100000\n40689 60971\n78621 100000\n39596 59320\n37659 56446\n23787 35682\n97965 100000\n47188 70761\n78931 100000\n90971 100000\n38249 57320\n5105 7700\n25550 38302\n831 1247\n25810 38703\n84081 100000\n64475 96728\n87266 100000\n34648 51971\n41150 61677\n60467 90718\n7861 11848\n12401 18660\n64979 97478\n78546 100000\n63680 95537\n90578 100000\n22559 33853\n26877 40288\n30396 45546\n87144 100000\n91821 100000\n11834 17803\n45274 67842\n4917 7412\n10196 15362\n11023 16602\n54128 81202\n45317 67906\n34 49\n2000 2994\n95208 100000\n687 1024\n11455 17252\n54493 81732\n33304 49952\n42511 63718\n71049 100000\n618 926\n88682 100000\n73417 100000\n36246 54350\n70449 100000\n76116 100000\n81153 100000\n47563 71333\n47776 71653\n59949 89949\n59600 89422\n50351 75513\n49549 74320\n83990 100000\n23153 34737\n84088 100000\n50961 76461\n5514 8318\n85107 100000\n97628 100000\n65701 98552\n86805 100000\n5047 7612\n90471 100000\n63745 95637\n15699 23562\n53197 79806\n6317 9545\n43094 64570\n94637 100000\n30463 45657\n9202 13842\n7407 11162\n65911 98854\n51217 76850\n55437 83140\n67272 100000\n53024 79536\n69764 100000\n23783 35676\n52504 78756\n38374 57510\n32631 48941\n59755 89658\n62283 93435\n76651 100000\n17732 26597\n38128 57137\n67350 100000\n86157 100000\n14664 22009\n21458 32176\n85600 100000\n29762 44626\n31487 47207\n5308 8012\n76175 100000\n39043 58496\n3126 4699\n47221 70808\n55785 83661\n9934 14960\n55775 83645\n65798 98689\n57672 86520\n52851 79274\n90112 100000\n43227 64775\n19515 29259\n84952 100000\n8126 12235\n60721 91098\n43900 65779\n26483 39709\n35218 52818\n15524 23299\n49447 74158\n57829 86751\n38186 57223\n60605 90924\n61650 92490\n94754 100000\n75981 100000\n44858 67220\n43876 65742\n81708 100000\n12747 19182\n47452 71161\n31223 46804\n61443 92186\n11354 17094\n97519 100000\n29489 44215\n65574 98360\n69117 100000\n48422 72612\n98382 100000\n12854 19331\n1398 2102\n19108 28655\n59459 89201\n9251 13916\n82057 100000\n52051 78082\n5987 9047\n93604 100000\n81492 100000\n63082 94659\n24742 37092\n59922 89904\n22666 34008\n65597 98397\n87457 100000\n8630 12997\n58910 88362\n72992 100000\n42093 63094\n94110 100000\n7304 11010\n94297 100000\n45409 68048\n89186 100000\n76173 100000\n63299 94974\n18880 28301\n56801 85200\n65005 97518\n66891 100000\n84329 100000\n78830 100000\n30838 46232\n3729 5595\n45874 68755\n55037 82523\n52646 78971\n80630 100000\n38481 57666\n6375 9635\n62232 93361\n24834 37231\n31615 47399\n7188 10835\n34048 51063\n82307 100000\n52950 79421\n50718 76078\n30557 45806\n6312 9537\n94321 100000\n81737 100000\n31489 47209\n95150 100000\n52167 78262\n31457 47165\n52421 78638\n36241 54342\n66336 99504\n94859 100000\n50340 75496\n27833 41726\n61290 91953\n5619 8474\n8437 12704\n38577 57813\n15971 23961\n69861 100000\n50433 75640\n69295 100000\n30339 45464\n52278 78426\n92542 100000\n71967 100000\n60743 91125\n16289 24444\n47593 71374\n24840 37240\n91429 100000\n23968 35951\n95327 100000\n60611 90932\n27201 40771\n92167 100000\n3987 5988\n72909 100000\n7259 10943\n48882 73308\n98925 100000\n36496 54737\n56884 85328\n40803 61150\n14797 22202\n88086 100000\n69827 100000\n51236 76876\n78123 100000\n6958 10499\n40420 60570\n50835 76261\n43538 65236\n45609 68352\n27953 41907\n62311 93477\n78149 100000\n39076 58538\n74551 100000\n42639 63903\n41690 62488\n6982 10536\n99381 100000\n37924 56835\n88855 100000\n2651 3981\n15199 22812\n11207 16877\n65918 98863\n89166 100000\n70733 100000\n81609 100000\n70978 100000\n47146 70696\n74334 100000\n30266 45360\n97194 100000\n20994 31469\n63252 94904\n14227 21348\n5336 8056\n58801 88205\n3669 5511\n75996 100000\n66982 100000\n51530 77303\n88143 100000\n91041 100000\n33308 49956\n85213 100000\n88252 100000\n88507 100000\n26547 39799\n97891 100000\n23438 35162\n61643 92480\n41348 61963\n49316 73959\n43834 65680\n12605 18967\n19995 29991\n58511 87773\n96945 100000\n79469 100000\n32516 48770\n52482 78724\n81087 100000\n27503 41225\n12587 18942\n60609 90929\n74740 100000\n33881 50809\n61549 92349\n23799 35698\n77696 100000\n17833 26750\n4872 7345\n18704 28042\n85407 100000\n86279 100000\n78374 100000\n59845 89794\n1108 1668\n84902 100000\n94709 100000\n66274 99409\n67723 100000\n78245 100000\n17165 25755\n14833 22257\n66972 100000\n66075 99112\n94553 100000\n20680 31011\n55115 82646\n26720 40060\n50342 75499\n57613 86433\n13622 20451\n14083 21134\n51890 77838\n42705 63991\n54535 81789\n17479 26224\n13597 20414\n75374 100000\n92355 100000\n76127 100000\n86042 100000\n56747 85115\n12210 18380\n60844 91278\n1931 2885\n29260 43869\n6619 9996\n96066 100000\n85712 100000\n25027 37526\n36360 54527\n92961 100000\n39039 58490\n46356 69508\n15117 22681\n76901 100000\n26882 40295\n31763 47622\n39293 58863\n39940 59851\n93464 100000\n60603 90921\n20615 30922\n87516 100000\n139 209\n49306 73945\n11698 17603\n31794 47668\n17726 26590\n51801 77707\n58524 87793\n67783 100000\n61374 92084\n2643 3972\n55352 83009\n40273 60350\n5476 8262\n63192 94830\n77486 100000\n95522 100000\n90455 100000\n99934 100000\n95067 100000\n91618 100000\n1784 2673\n38234 57295\n63613 95438\n65387 98080\n88890 100000\n98292 100000\n59295 88956\n31398 47072\n13525 20310\n4844 7301\n67164 100000\n65487 98231\n67711 100000\n47539 71297\n84439 100000\n99731 100000\n77751 100000\n69279 100000\n43157 64661\n24774 37141\n72240 100000\n82842 100000\n11191 16852\n72453 100000\n83004 100000\n48928 73380\n69805 100000\n93117 100000\n41915 62827\n78322 100000\n72405 100000\n91928 100000\n58996 88496\n41218 61775\n34194 51278\n98 149\n31641 47438\n53248 79880\n7252 10931\n79429 100000\n66367 99551\n61029 91561\n5692 8585\n91025 100000\n45967 68903\n80507 100000\n91880 100000\n89327 100000\n56211 84306\n80155 100000\n7967 12008\n21316 31953\n14192 21298\n28272 42385\n68358 100000\n78207 100000\n9586 14419\n85957 100000\n93271 100000\n94761 100000\n22930 34408\n33329 49985\n2048 3068\n4772 7189\n55584 83361\n30117 45147\n38030 56993\n3809 5716\n88304 100000\n31478 47194\n81693 100000\n48412 72596\n36403 54593\n13895 20866\n86168 100000\n86890 100000\n20505 30747\n60685 91046\n2727 4097\n19283 28913\n28966 43423\n28452 42651\n71671 100000\n23118 34685\n23201 34810\n91922 100000\n28413 42593\n68668 100000\n88138 100000\n10997 16561\n24999 37480\n95700 100000\n19656 29473\n18188 27258\n87328 100000\n50663 75986\n67247 100000\n72124 100000\n91524 100000\n29390 44063\n36264 54379\n42504 63707\n7687 11585\n26901 40323\n10787 16246\n69149 100000\n75758 100000\n95968 100000\n63738 95626\n52424 78641\n25793 38676\n26627 39920\n35800 53684\n51657 77496\n37682 56481\n56684 85023\n50888 76345\n13480 20247\n52379 78571\n97747 100000\n42521 63732\n42125 63143\n27296 40912\n50356 75522\n94192 100000\n92899 100000\n95024 100000\n63052 94611\n39991 59930\n97509 100000\n52725 79089\n62888 94355\n39407 59035\n88899 100000\n72508 100000\n111 166\n45943 68866\n30495 45709\n25297 37924\n89846 100000\n72472 100000\n68159 100000\n11749 17679\n86761 100000\n92618 100000\n17752 26628\n53109 79672\n78957 100000\n28566 42823\n30572 45829\n11638 17517\n84437 100000\n62718 94091\n25553 38305\n71674 100000\n30729 46063\n10091 15204\n85411 100000\n74689 100000\n33732 50591\n61224 91858\n96522 100000\n98300 100000\n65779 98660\n88784 100000\n18094 27125\n38524 57737\n4371 6572\n28757 43109\n79179 100000\n8409 12660\n53559 80347\n96827 100000\n39737 59535\n64638 96970\n41084 61583\n59100 88657\n70386 100000\n89603 100000\n26290 39423\n17952 26920\n69221 100000\n2337 3514\n20665 30989\n46660 69961\n49127 73666\n65568 98351\n54821 82205\n6366 9621\n74948 100000\n66873 100000\n4277 6431\n38120 57123\n43574 65286\n15673 23524\n93789 100000\n42850 64203\n81513 100000\n93622 100000\n22676 34022\n61080 91639\n31666 47474\n41428 62089\n91393 100000\n74974 100000\n87918 100000\n99329 100000\n14455 21700\n5703 8602\n47668 71492\n17409 26118\n10784 16241\n14224 21344\n63980 95993\n31324 46960\n33008 49513\n81462 100000\n55186 82749\n91791 100000\n29902 44830\n76270 100000\n37249 55846\n61817 92741\n49996 74986\n35531 53283\n58290 87453\n17705 26560\n49049 73558\n13709 20584\n72456 100000\n12555 18894\n21502 32241\n72697 100000\n34346 51508\n37314 55948\n64051 96100\n70444 100000\n74226 100000\n44602 66845\n80977 100000\n42701 63986\n36659 54976\n17372 26062\n20843 31244\n91920 100000\n40102 60095\n7357 11089\n57686 86543\n27817 41699\n27763 41616\n5584 8424\n92050 100000\n15855 23782\n97058 100000\n6772 10226\n61377 92087\n99569 100000\n77884 100000\n72647 100000\n81301 100000\n11419 17191\n14855 22286\n83786 100000\n49640 74460\n28005 41994\n31032 46520\n83022 100000\n26476 39696\n22908 34374\n63168 94794\n79923 100000\n73527 100000\n8828 13283\n73269 100000\n12876 19364\n30969 46428\n30340 45465\n93843 100000\n9660 14530\n16516 24786\n29087 43606\n66013 99016\n19674 29501\n96506 100000\n86476 100000\n51935 77905\n39591 59314\n7392 11140\n79478 100000\n98490 100000\n96470 100000\n41521 62234\n52205 78318\n41157 61686\n99961 100000\n26671 39987\n20927 31369\n17711 26569\n80560 100000\n6500 9817\n98681 100000\n63881 95843\n45823 68678\n97243 100000\n54446 81660\n730 1090\n39989 59927\n94101 100000\n24811 37198\n95931 100000\n36804 55197\n98893 100000\n58477 87721\n65177 97770\n39955 59873\n31361 47015\n95331 100000\n47650 71466\n42396 63548\n73243 100000\n52214 78329\n69039 100000\n47649 71464\n21429 32133\n35688 53517\n96106 100000\n96823 100000\n96544 100000\n47996 71970\n88341 100000\n11371 17121\n29680 44501\n35797 53678\n1600 2405\n52165 78259\n20010 30014\n26927 40362\n84581 100000\n74328 100000\n45968 68905\n39018 58456\n99978 100000\n9128 13730\n30080 45091\n79046 100000\n97668 100000\n49863 74784\n25803 38690\n30738 46077\n46863 70279\n96510 100000\n9485 14269\n38286 57375\n42522 63733\n12062 18158\n89358 100000\n10753 16196\n38970 58390\n77965 100000\n37374 56035\n20340 30495\n18781 28157\n37136 55681\n7382 11125\n36614 54913\n36404 54595\n62496 93755\n17361 26046\n59211 88825\n62254 93395\n25786 38667\n75273 100000\n1929 2883\n93004 100000\n2356 3544\n67903 100000\n33155 49738\n27146 40691\n26402 39594\n85554 100000\n63177 94806\n54015 81034\n47803 71694\n83111 100000\n96992 100000\n51418 77141\n41487 62179\n99033 100000\n60501 90773\n17173 25765\n47281 70903\n95018 100000\n80373 100000\n32661 48987\n42914 64298\n48528 72778\n41375 62005\n4621 6952\n22500 33766\n39780 59607\n5680 8565\n2013 3012\n48496 72727\n57310 85980\n23038 34566\n97606 100000\n83483 100000\n85890 100000\n96460 100000\n11656 17541\n45339 67938\n50037 75046\n88061 100000\n66152 99227\n77434 100000\n66965 100000\n91862 100000\n74174 100000\n32493 48733\n37040 55537\n48411 72594\n60111 90192\n34684 52029\n17797 26697\n34351 51517\n87279 100000\n30652 45945\n88852 100000\n40318 60415\n11553 17392\n82921 100000\n89823 100000\n31996 47977\n63902 95877\n54418 81625\n69813 100000\n48385 72556\n63925 95914\n52745 79116\n36187 54263\n83793 100000\n89354 100000\n61435 92175\n68430 100000\n4136 6211\n8854 13322\n6440 9727\n10245 15434\n25099 37635\n36947 55405\n31166 46718\n20920 31361\n15718 23590\n78355 100000\n14078 21126\n95487 100000\n15979 23973\n5421 8183\n17365 26052\n87428 100000\n97655 100000\n10930 16462\n65760 98635\n16361 24560\n18657 27966\n18953 28412\n13177 19809\n30002 44982\n92986 100000\n63602 95422\n74379 100000\n58062 87110\n21555 32316\n75086 100000\n23324 35000\n84402 100000\n59449 89186\n7505 11311\n52384 78578\n70667 100000\n90594 100000\n98820 100000\n92402 100000\n34802 52203\n72458 100000\n19505 29243\n30552 45798\n3717 5580\n90058 100000\n60241 90387\n54568 81838\n90992 100000\n12628 19003\n12855 19333\n82237 100000\n91310 100000\n5588 8431\n68459 100000\n11894 17894\n37596 56355\n7029 10602\n76834 100000\n6977 10531\n23237 34866\n34704 52061\n53614 80434\n31353 47003\n37766 56604\n28520 42756\n56792 85188\n82218 100000\n38135 57147\n59729 89620\n51677 77529\n6640 10030\n27370 41021\n64150 96244\n7939 11966\n50700 76049\n27524 41261\n82485 100000\n3724 5587\n26221 39323\n71812 100000\n19959 29930\n73903 100000\n1750 2625\n39473 59132\n64464 96713\n79415 100000\n22437 33681\n16218 24336\n40890 61282\n184 273\n79914 100000\n69518 100000\n57336 86017\n52067 78105\n13575 20383\n23863 35788\n8922 13424\n94306 100000\n6896 10410\n80423 100000\n60109 90189\n49192 73766\n52614 78928\n44092 66071\n31408 47090\n56548 84814\n71869 100000\n88536 100000\n64192 96305\n20433 30634\n50870 76317\n92133 100000\n69422 100000\n81568 100000\n61665 92512\n59039 88562\n94075 100000\n89509 100000\n62570 93867\n22474 33732\n98006 100000\n93208 100000\n14253 21384\n16065 24107\n22527 33803\n73352 100000\n54292 81445\n17300 25958\n5087 7670\n84800 100000\n4407 6633\n23593 35398\n12482 18785\n27075 40581\n41466 62147\n17338 26015\n14532 21811\n45611 68356\n74003 100000\n59466 89210\n43256 64817\n93309 100000\n47826 71729\n11237 16923\n17604 26411\n49230 73825\n50308 75451\n31519 47254\n93616 100000\n24961 37421\n1004 1507\n71782 100000\n58001 87017\n1044 1569\n93810 100000\n43225 64772\n14951 22432\n53469 80209\n39298 58871\n56142 84196\n88396 100000\n27106 40631\n85150 100000\n30212 45279\n16583 24883\n82641 100000\n73614 100000\n88757 100000\n8162 12291\n42474 63666\n6334 9570\n89262 100000\n22721 34089\n63837 95776\n73276 100000\n88615 100000\n71059 100000\n35536 53289\n11965 18007\n93201 100000\n21394 32080\n30942 46393\n33005 49507\n57213 85827\n27809 41685\n12650 19037\n12198 18362\n81025 100000\n71550 100000\n58038 87073\n53722 80594\n88028 100000\n99158 100000\n23467 35205\n41230 61792\n23955 35934\n3999 6004\n43864 65722\n31107 46631\n19531 29285\n9102 13693\n52514 78771\n5509 8309\n1981 2965\n61009 91532\n49931 74883\n11360 17102\n59710 89589\n12942 19453\n98328 100000\n95903 100000\n92464 100000\n60564 90869\n25567 38329\n85516 100000\n54231 81353\n22148 33243\n99330 100000\n81904 100000\n40113 60112\n59441 89175\n96834 100000\n64497 96759\n17655 26485\n39964 59888\n52333 78507\n9218 13862\n27078 40584\n53195 79803\n77820 100000\n13867 20821\n22431 33671\n49455 74170\n58464 87704\n76789 100000\n72465 100000\n7459 11243\n64874 97319\n98813 100000\n52132 78209\n39001 58432\n21153 31712\n56590 84885\n46655 69954\n9898 14899\n60074 90140\n87736 100000\n33359 50031\n13722 20604\n27478 41184\n20807 31191\n95800 100000\n4008 6015\n326 476\n14184 21286\n18707 28047\n26189 39274\n70863 100000\n54601 81887\n58621 87938\n50570 75848\n48435 72632\n61988 92998\n86775 100000\n94615 100000\n8518 12828\n37343 55989\n73117 100000\n25700 38537\n51942 77915\n59818 89749\n84036 100000\n18210 27287\n63394 95115\n50371 75546\n96015 100000\n34205 51294\n90093 100000\n64669 97018\n72230 100000\n12885 19376\n66032 99046\n99508 100000\n22469 33726\n15039 22563\n3686 5534\n49289 73916\n87490 100000\n94535 100000\n43949 65852\n95346 100000\n31812 47701\n53746 80632\n3873 5811\n72378 100000\n78485 100000\n15130 22703\n90403 100000\n86291 100000\n7 11\n70107 100000\n20046 30065\n17955 26923\n51104 76676\n47973 71938\n53013 79518\n35558 53323\n83812 100000\n30947 46399\n88200 100000\n10747 16188\n68008 100000\n19532 29286\n92039 100000\n85077 100000\n86394 100000\n66112 99169\n37094 55618\n24313 36456\n31381 47047\n58086 87145\n7216 10874\n66041 99059\n13934 20920\n10254 15448\n1203 1813\n26404 39597\n12139 18273\n61613 92437\n81530 100000\n16539 24816\n69359 100000\n54917 82348\n30013 44997\n86951 100000\n99162 100000\n33413 50116\n29232 43826\n89845 100000\n49185 73756\n87395 100000\n76870 100000\n873 1310\n64712 97086\n73185 100000\n6879 10389\n77037 100000\n72974 100000\n76309 100000\n4355 6551\n47128 70671\n13446 20204\n54461 81683\n19655 29471\n1371 2065\n25381 38050\n88986 100000\n79858 100000\n29083 43601\n13418 20164\n60647 90986\n18762 28129\n82329 100000\n28816 43196\n23326 35003\n68378 100000\n59691 89560\n60274 90434\n78690 100000\n25076 37600\n78237 100000\n59347 89037\n24114 36163\n81305 100000\n68190 100000\n47272 70889\n50572 75850\n5544 8363\n71616 100000\n54863 82271\n50254 75368\n7840 11819\n4835 7287\n60210 90344\n57864 86804\n47122 70661\n59860 89813\n18983 28462\n74055 100000\n20755 31123\n65718 98575\n27764 41617\n52276 78423\n98395 100000\n94876 100000\n6412 9685\n86239 100000\n45822 68676\n88998 100000\n91337 100000\n39590 59312\n61829 92761\n78575 100000\n60972 91477\n97690 100000\n17751 26626\n61601 92420\n74163 100000\n83368 100000\n14418 21643\n73588 100000\n97641 100000\n64732 97112\n48656 72977\n32945 49415\n95814 100000\n1525 2298\n53546 80326\n38534 57749\n56197 84286\n67159 100000\n66026 99037\n3423 5146\n9987 15046\n15383 23089\n33209 49815\n92258 100000\n66134 99201\n13590 20405\n82834 100000\n33198 49802\n16751 25129\n19576 29352\n67057 100000\n58602 87905\n9778 14715\n67837 100000\n22160 33261\n64710 97083\n40947 61368\n19759 29630\n30040 45038\n48874 73298\n28481 42696\n99114 100000\n72699 100000\n99075 100000\n82823 100000\n73327 100000\n58890 88332\n55492 83224\n16431 24662\n68917 100000\n94338 100000\n7582 11426\n5906 8916\n27103 40627\n46691 70009\n50976 76485\n78339 100000\n44943 67343\n70525 100000\n67401 100000\n63392 95112\n55360 83020\n46011 68972\n31190 46754\n90768 100000\n93691 100000\n24531 36775\n24948 37400\n34218 51315\n44606 66850\n14025 21048\n64973 97469\n25790 38672\n69634 100000\n98916 100000\n44785 67112\n61752 92647\n90117 100000\n98670 100000\n2874 4318\n82265 100000\n68061 100000\n66868 100000\n34022 51021\n75912 100000\n20742 31102\n71593 100000\n23976 35963\n5116 7718\n35796 53676\n54131 81205\n90954 100000\n68726 100000\n72761 100000\n74717 100000\n5615 8468\n84906 100000\n16095 24149\n33211 49818\n37491 56203\n17420 26135\n98931 100000\n19865 29787\n16613 24926\n20826 31218\n78977 100000\n49604 74406\n71940 100000\n9865 14846\n4568 6872\n96645 100000\n48311 72448\n81730 100000\n1638 2460\n3331 5008\n71554 100000\n48555 72821\n86995 100000\n42279 63373\n85264 100000\n99618 100000\n9075 13657\n56465 84688\n59627 89463\n8848 13311\n75054 100000\n47385 71059\n12108 18222\n50955 76450\n71371 100000\n10350 15586\n99708 100000\n92170 100000\n31115 46645\n74355 100000\n94944 100000\n28788 43150\n55873 83795\n12888 19379\n54767 82129\n31729 47574\n87009 100000\n86658 100000\n6937 10471\n31813 47702\n72921 100000\n24987 37461\n92135 100000\n20942 31394\n66395 99594\n8947 13461\n11708 17617\n61620 92446\n57448 86185\n3340 5020\n80428 100000\n33033 49551\n22853 34292\n68811 100000\n89654 100000\n73841 100000\n97717 100000\n12869 19354\n10722 16152\n99282 100000\n95322 100000\n83875 100000\n58934 88401\n18517 27748\n74429 100000\n35162 52733\n17037 25561\n88036 100000\n17502 26257\n56862 85296\n7096 10697\n11277 16982\n94937 100000\n66042 99061\n57145 85727\n52789 79180\n62478 93731\n19476 29199\n20638 30953\n26857 40256\n91616 100000\n80975 100000\n46266 69369\n92291 100000\n70446 100000\n94344 100000\n45426 68071\n20400 30587\n98095 100000\n28174 42236\n27282 40891\n19525 29274\n17798 26698\n14310 21479\n87408 100000\n69867 100000\n92877 100000\n18122 27163\n55242 82836\n71362 100000\n15122 22691\n64958 97446\n74224 100000\n64992 97498\n67898 100000\n8451 12722\n19341 28999\n75516 100000\n81262 100000\n6064 9160\n19603 29393\n90666 100000\n61327 92009\n50112 75154\n3777 5665\n97232 100000\n911 1367\n75594 100000\n86526 100000\n56845 85266\n29629 44422\n81549 100000\n11340 17070\n72290 100000\n47017 70515\n79776 100000\n39840 59698\n91718 100000\n19193 28783\n33093 49647\n2008 3005\n11467 17266\n23741 35619\n49039 73542\n49216 73804\n88320 100000\n22503 33770\n4039 6062\n71887 100000\n49966 74938\n25274 37889\n59139 88713\n69514 100000\n23540 35312\n82452 100000\n61467 92221\n87519 100000\n55453 83166\n94011 100000\n89160 100000\n9410 14157\n39335 58926\n8570 12909\n74254 100000\n75522 100000\n66662 100000\n35273 52900\n59768 89678\n7716 11634\n86539 100000\n22225 33366\n72101 100000\n47036 70540\n42733 64030\n32928 49385\n98244 100000\n79531 100000\n39359 58963\n72073 100000\n64549 96838\n17739 26608\n81846 100000\n98868 100000\n70383 100000\n62732 94114\n19812 29706\n78470 100000\n72755 100000\n55819 83711\n5930 8953\n19913 29862\n27433 41115\n25984 38968\n89412 100000\n21421 32121\n27651 41453\n97849 100000\n17873 26814\n61610 92434\n37140 55688\n44709 67001\n12884 19375\n53531 80302\n98197 100000\n95763 100000\n32877 49310\n43853 65709\n94334 100000\n2627 3946\n96073 100000\n88772 100000\n74464 100000\n13237 19895\n54310 81473\n88205 100000\n94253 100000\n71116 100000\n98643 100000\n34874 52306\n29093 43614\n56390 84574\n75255 100000\n25837 38746\n23718 35581\n45575 68295\n66995 100000\n91078 100000\n66256 99378\n31172 46729\n84056 100000\n52271 78415\n13565 20370\n71772 100000\n89702 100000\n98823 100000\n66907 100000\n22073 33128\n50303 75442\n85297 100000\n90673 100000\n67601 100000\n80160 100000\n79648 100000\n83663 100000\n38283 57372\n7834 11810\n44005 65934\n90382 100000\n87471 100000\n68742 100000\n50041 75052\n4013 6020\n51972 77958\n20111 30162\n38924 58319\n48824 73221\n79637 100000\n2980 4477\n45212 67753\n18090 27120\n63752 95649\n20541 30804\n19754 29624\n12592 18949\n3373 5066\n36721 55072\n63474 95238\n50183 75265\n337 492\n472 705\n41059 61547\n33328 49984\n38576 57812\n76875 100000\n96048 100000\n64674 97027\n44707 66999\n55410 83100\n35048 52562\n99477 100000\n42158 63193\n25961 38930\n57396 86112\n16707 25068\n56141 84195\n3774 5661\n82198 100000\n55589 83367\n98119 100000\n79288 100000\n95453 100000\n31625 47415\n44989 67413\n2460 3692\n15169 22761\n13859 20808\n46222 69293\n55475 83199\n90138 100000\n60065 90124\n76695 100000\n32973 49458\n85125 100000\n55213 82786\n75786 100000\n76720 100000\n82258 100000\n14349 21539\n11686 17583\n77742 100000\n96031 100000\n20618 30927\n20071 30101\n82255 100000\n81954 100000\n63570 95375\n42754 64060\n73533 100000\n92779 100000\n41787 62632\n38221 57276\n34788 52182\n34588 51882\n74217 100000\n49391 74073\n23249 34884\n6416 9690\n83088 100000\n13766 20667\n28507 42739\n63056 94617\n80969 100000\n60634 90966\n89576 100000\n66963 100000\n1978 2961\n67002 100000\n60473 90728\n89276 100000\n5608 8458\n99178 100000\n63090 94672\n67510 100000\n43617 65352\n55105 82630\n45272 67839\n57542 86327\n82074 100000\n76243 100000\n18618 27901\n63118 94715\n45261 67822\n94679 100000\n26932 40370\n12247 18439\n40969 61405\n85765 100000\n83671 100000\n20546 30812\n84446 100000\n50738 76113\n59197 88800\n29015 43500\n14760 22149\n14140 21222\n80881 100000\n54855 82261\n2903 4360\n70516 100000\n34678 52018\n13613 20437\n8167 12297\n28133 42175\n30357 45489\n25715 38562\n27288 40899\n17537 26311\n35603 53391\n471 703\n4703 7084\n71924 100000\n6386 9648\n95019 100000\n13184 19819\n34101 51141\n85253 100000\n91854 100000\n62298 93458\n53611 80431\n52144 78226\n1614 2421\n17016 25525\n45310 67896\n64695 97061\n50374 75551\n62444 93679\n89650 100000\n6642 10034\n68224 100000\n94189 100000\n93767 100000\n7355 11085\n85533 100000\n4714 7100\n63637 95473\n27491 41205\n10334 15567\n42323 63436\n92305 100000\n55896 83828\n45418 68059\n3444 5182\n58858 88285\n94218 100000\n61713 92589\n56539 84801\n36888 55320\n67294 100000\n66969 100000\n84271 100000\n70982 100000\n13804 20727\n20842 31243\n30726 46057\n41119 61636\n24094 36132\n6850 10343\n33031 49548\n64044 96088\n84277 100000\n18904 28338\n79197 100000\n13074 19659\n33706 50552\n60289 90453\n43295 64880\n22595 33906\n52560 78845\n43702 65482\n46922 70367\n33378 50061\n91838 100000\n4100 6157\n41830 62697\n9501 14292\n56524 84775\n93970 100000\n5168 7799\n60014 90046\n2867 4307\n37664 56453\n16118 24185\n13916 20894\n29566 44330\n68184 100000\n45033 67476\n5492 8285\n32624 48931\n68546 100000\n28989 43459\n26339 39496\n35414 53109\n54497 81738\n38755 58060\n6378 9639\n49116 73650\n72736 100000\n62618 93943\n31757 47613\n5769 8700\n18121 27162\n97529 100000\n85546 100000\n87876 100000\n70893 100000\n59210 88823\n19706 29551\n21342 31995\n62404 93621\n44569 66800\n84586 100000\n20627 30939\n38668 57938\n10967 16517\n63112 94707\n87964 100000\n9043 13609\n49011 73499\n52458 78691\n70299 100000\n81992 100000\n92186 100000\n13749 20643\n79887 100000\n6856 10352\n2056 3079\n38267 57348\n70329 100000\n61943 92930\n90858 100000\n90400 100000\n43907 65792\n14445 21682\n87018 100000\n27373 41024\n53099 79655\n17136 25709\n54927 82364\n46522 69758\n78623 100000\n528 791\n68231 100000\n41972 62914\n70778 100000\n34134 51188\n24357 36519\n27982 41957\n55435 83137\n31025 46510\n1796 2689\n26774 40137\n48233 72333\n58914 88367\n6929 10459\n30304 45414\n14563 21855\n43504 65183\n48625 72933\n76408 100000\n53672 80522\n42700 63985\n64818 97231\n57529 86310\n14893 22344\n2748 4127\n2341 3520\n95345 100000\n57852 86785\n65354 98031\n67868 100000\n33002 49504\n64092 96158\n12505 18820\n36256 54367\n99699 100000\n80691 100000\n480 716\n76665 100000\n80329 100000\n42798 64125\n24710 37043\n86724 100000\n40460 60629\n57992 87003\n34885 52322\n4093 6144\n15903 23857\n76421 100000\n58560 87847\n56131 84178\n5604 8452\n93061 100000\n22298 33471\n51822 77738\n3619 5434\n15725 23599\n25706 38546\n8108 12212\n97504 100000\n76666 100000\n28965 43421\n56268 84388\n84005 100000\n90041 100000\n63065 94633\n42632 63893\n57826 86747\n45828 68685\n52518 78777\n42121 63136\n74617 100000\n95536 100000\n29207 43786\n98869 100000\n51537 77315\n1481 2229\n7734 11661\n85342 100000\n72733 100000\n31538 47281\n64066 96120\n47925 71873\n20656 30978\n48878 73303\n7123 10739\n77234 100000\n22267 33428\n35808 53694\n9641 14503\n94586 100000\n93149 100000\n42572 63802\n16907 25353\n67115 100000\n94911 100000\n29289 43914\n1164 1757\n21439 32147\n90646 100000\n74842 100000\n82489 100000\n99303 100000\n65118 97685\n80992 100000\n42584 63821\n3883 5829\n8340 12547\n79096 100000\n43019 64454\n73987 100000\n60930 91412\n49229 73824\n78491 100000\n5220 7874\n53413 80119\n32161 48226\n69939 100000\n75805 100000\n7090 10689\n54923 82358\n59155 88739\n65927 98879\n32257 48370\n69830 100000\n2897 4353\n11969 18013\n8773 13203\n99783 100000\n35445 53154\n17714 26573\n62821 94252\n82115 100000\n87941 100000\n97612 100000\n72626 100000\n15752 23635\n65347 98021\n35588 53369\n95458 100000\n61865 92818\n8951 13467\n41692 62492\n71287 100000\n49896 74832\n56138 84190\n29295 43922\n61378 92088\n4908 7397\n34947 52419\n31007 46484\n66103 99156\n93360 100000\n71266 100000\n62227 93355\n41228 61790\n15947 23925\n93057 100000\n64188 96298\n88443 100000\n99240 100000\n67192 100000\n92190 100000\n27952 41905\n3647 5474\n65868 98788\n32366 48534\n76319 100000\n66958 100000\n47030 70534\n97453 100000\n87654 100000\n28877 43294\n16901 25346\n11378 17132\n10813 16288\n92705 100000\n82828 100000\n6353 9601\n18548 27796\n68049 100000\n71229 100000\n73744 100000\n82794 100000\n48077 72099\n91800 100000\n31237 46825\n85716 100000\n67590 100000\n63494 95267\n92661 100000\n83407 100000\n54557 81820\n2239 3359\n33484 50227\n92281 100000\n89334 100000\n30739 46078\n5371 8106\n13114 19720\n52381 78574\n43183 64704\n84550 100000\n51975 77964\n68754 100000\n5312 8018\n71143 100000\n74475 100000\n31915 47849\n18433 27621\n50813 76225\n37669 56461\n27908 41841\n20817 31205\n27997 41982\n51987 77983\n57088 85638\n70731 100000\n73385 100000\n34691 52040\n40361 60482\n53323 79984\n63129 94734\n1971 2950\n62482 93737\n8417 12674\n28049 42063\n32426 48628\n92971 100000\n37199 55770\n73873 100000\n77308 100000\n62984 94508\n62937 94434\n42142 63170\n60459 90708\n59649 89495\n73241 100000\n63025 94571\n19060 28579\n24552 36806\n14297 21460\n36048 54055\n70221 100000\n42711 63999\n35921 53863\n1498 2258\n96016 100000\n60632 90963\n20940 31390\n69062 100000\n34620 51929\n45732 68548\n2262 3397\n280 411\n69211 100000\n27646 41446\n18124 27166\n41233 61796\n72183 100000\n32965 49445\n18745 28105\n51485 77234\n96756 100000\n63938 95930\n83146 100000\n77249 100000\n54291 81444\n36961 55426\n76171 100000\n64465 96715\n21363 32030\n99506 100000\n54891 82310\n1693 2544\n96385 100000\n29666 44479\n9054 13625\n346 506\n21051 31563\n69513 100000\n64213 96333\n78619 100000\n10346 15580\n90623 100000\n91576 100000\n7668 11559\n12100 18210\n77807 100000\n81384 100000\n55740 83590\n80296 100000\n22759 34148\n88327 100000\n44129 66125\n22583 33887\n15180 22780\n4404 6628\n27248 40840\n25138 37692\n24232 36339\n58050 87091\n21176 31751\n58951 88429\n77616 100000\n879 1317\n93977 100000\n86085 100000\n65089 97638\n82030 100000\n334 488\n69016 100000\n61541 92336\n15037 22560\n53425 80138\n84857 100000\n74026 100000\n67694 100000\n74949 100000\n53168 79759\n62280 93431\n44847 67203\n69491 100000\n33349 50016\n62940 94440\n91271 100000\n15765 23654\n72573 100000\n27633 41428\n69796 100000\n77618 100000\n97153 100000\n28096 42123\n44750 67062\n82272 100000\n63198 94838\n88441 100000\n12384 18635\n7906 11918\n50208 75304\n54672 81990\n45269 67833\n50667 75993\n71344 100000\n75644 100000\n44521 66722\n6157 9297\n79013 100000\n69603 100000\n73059 100000\n93539 100000\n66716 100000\n71136 100000\n42857 64212\n25848 38761\n42470 63661\n73961 100000\n15604 23421\n41608 62367\n53289 79937\n61898 92866\n36773 55150\n66469 99705\n32272 48393\n67322 100000\n29655 44463\n75570 100000\n36136 54189\n94667 100000\n85457 100000\n99096 100000\n46657 69956\n23993 35987\n22839 34269\n64059 96111\n60121 90210\n16956 25433\n66162 99240\n98283 100000\n59157 88741\n31438 47137\n91600 100000\n19697 29536\n26044 39058\n1338 2011\n70972 100000\n38285 57374\n65462 98194\n46818 70208\n13224 19876\n39621 59358\n36977 55451\n6948 10487\n87371 100000\n97005 100000\n52128 78201\n3698 5550\n47158 70712\n31860 47769\n56933 85400\n32616 48918\n57175 85772\n85537 100000\n36153 54215\n70403 100000\n26879 40291\n97500 100000\n92612 100000\n16807 25206\n73311 100000\n41065 61556\n53973 80968\n76741 100000\n56203 84294\n93200 100000\n99157 100000\n13340 20046\n90660 100000\n78520 100000\n28838 43233\n16702 25061\n36282 54408\n60739 91119\n18848 28255\n1760 2637\n84841 100000\n85976 100000\n55771 83638\n95033 100000\n96997 100000\n10393 15656\n87976 100000\n78501 100000\n29851 44754\n87814 100000\n43717 65502\n80883 100000\n21987 32995\n40377 60506\n44816 67154\n60059 90115\n62511 93775\n40779 61112\n13183 19818\n22357 33556\n87989 100000\n30338 45463\n46432 69622\n58398 87606\n33191 49790\n33253 49878\n30980 46443\n1419 2136\n11948 17981\n83578 100000\n73426 100000\n35021 52524\n18148 27201\n61552 92355\n53733 80613\n46768 70132\n54521 81772\n77582 100000\n97252 100000\n4879 7352\n15008 22517\n60421 90650\n13908 20885\n90754 100000\n32424 48624\n99664 100000\n46097 69102\n95136 100000\n64547 96836\n26426 39628\n73228 100000\n10950 16493\n48320 72463\n53800 80714\n60772 91166\n84537 100000\n9155 13772\n49090 73611\n31995 47975\n73003 100000\n80247 100000\n61949 92937\n7592 11441\n97564 100000\n18474 27684\n10202 15370\n97961 100000\n33320 49972\n77591 100000\n93016 100000\n21519 32266\n45230 67779\n34959 52437\n22793 34199\n43811 65641\n15368 23069\n90709 100000\n50206 75301\n95933 100000\n67447 100000\n72013 100000\n98937 100000\n19954 29923\n9885 14879\n52585 78883\n55350 83007\n93468 100000\n91034 100000\n87846 100000\n21994 33006\n15260 22903\n54837 82232\n6284 9490\n65643 98465\n88409 100000\n44568 66798\n56394 84580\n50201 75295\n82738 100000\n69678 100000\n26420 39620\n82522 100000\n69769 100000\n36756 55121\n10390 15653\n69186 100000\n65829 98731\n60182 90303\n93716 100000\n10624 16001\n13574 20381\n58169 87267\n43824 65663\n89649 100000\n68644 100000\n16276 24423\n4799 7228\n22138 33227\n29576 44344\n55315 82951\n66993 100000\n6539 9880\n3016 4534\n87817 100000\n1216 1829\n46589 69858\n41062 61552\n53536 80309\n1259 1895\n88992 100000\n92391 100000\n99160 100000\n65172 97765\n80907 100000\n26261 39385\n11596 17459\n95515 100000\n26021 39021\n21867 32815\n72504 100000\n20452 30663\n33290 49932\n46251 69344\n39533 59224\n47079 70598\n64924 97395\n7187 10834\n24248 36361\n78473 100000\n41717 62529\n75974 100000\n70878 100000\n15465 23208\n71778 100000\n91960 100000\n21104 31638\n6403 9673\n25719 38566\n22319 33503\n72587 100000\n48534 72789\n46887 70313\n87367 100000\n42717 64007\n69930 100000\n8597 12948\n59510 89283\n62106 93173\n15632 23464\n68 104\n44298 66380\n26398 39586\n19177 28758\n41786 62631\n9459 14231\n89176 100000\n82700 100000\n91923 100000\n97152 100000\n88657 100000\n51863 77797\n34399 51589\n68354 100000\n53239 79866\n99372 100000\n43118 64610\n66091 99140\n39269 58830\n42978 64393\n55278 82896\n85212 100000\n60667 91015\n2848 4280\n98832 100000\n95124 100000\n37703 56510\n65861 98778\n21811 32726\n86815 100000\n39831 59684\n49238 73837\n38591 57835\n48381 72549\n70036 100000\n38274 57359\n71996 100000\n25217 37805\n6456 9748\n34886 52323\n90603 100000\n98836 100000\n15309 22974\n98608 100000\n80783 100000\n27177 40735\n82736 100000\n59628 89464\n59102 88661\n77586 100000\n26038 39049\n65010 97524\n81912 100000\n15783 23681\n15336 23018\n5024 7575\n25356 38010\n20358 30523\n89445 100000\n59084 88629\n32413 48610\n7191 10840\n78144 100000\n95517 100000\n94249 100000\n10664 16060\n11332 17060\n35812 53702\n69502 100000\n40798 61141\n10174 15330\n95493 100000\n58633 87956\n82276 100000\n36910 55352\n67538 100000\n96343 100000\n16467 24715\n44814 67152\n22346 33540\n30496 45710\n87565 100000\n1622 2435\n98014 100000\n21171 31742\n93169 100000\n22971 34471\n21617 32417\n15362 23060\n23421 35134\n74655 100000\n49994 74983\n44591 66832\n61661 92506\n82012 100000\n40963 61395\n34024 51023\n95712 100000\n38899 58283\n64617 96938\n68920 100000\n33715 50565\n41318 61917\n11581 17436\n77091 100000\n48434 72630\n26247 39364\n19822 29722\n78509 100000\n76017 100000\n20065 30095\n56987 85486\n38819 58159\n42397 63549\n15986 23985\n87433 100000\n83376 100000\n31912 47845\n13012 19563\n95718 100000\n52303 78461\n51207 76834\n6680 10093\n84428 100000\n75387 100000\n75031 100000\n22504 33771\n78783 100000\n81832 100000\n61308 91980\n68737 100000\n13571 20377\n92540 100000\n66216 99318\n90402 100000\n81952 100000\n13481 20249\n86554 100000\n77057 100000\n74214 100000\n77680 100000\n57185 85789\n70654 100000\n31984 47959\n6374 9634\n95868 100000\n9940 14972\n83029 100000\n38530 57744\n96954 100000\n84647 100000\n71211 100000\n75235 100000\n57466 86216\n47723 71575\n90553 100000\n47898 71833\n41707 62515\n66213 99314\n95191 100000\n77382 100000\n90708 100000\n84980 100000\n91623 100000\n67683 100000\n94711 100000\n40621 60868\n58147 87237\n65236 97856\n3589 5391\n60708 91080\n50703 76054\n11273 16976\n40942 61359\n14699 22058\n37742 56566\n87867 100000\n29288 43913\n84201 100000\n7282 10977\n25339 37983\n42131 63152\n97580 100000\n57594 86404\n43874 65739\n42961 64367\n92785 100000\n78206 100000\n29294 43921\n59915 89894\n6274 9473\n42607 63854\n94731 100000\n27213 40790\n54967 82420\n62422 93647\n29314 43949\n93182 100000\n80792 100000\n73444 100000\n88418 100000\n66486 99729\n4204 6314\n4750 7157\n22394 33610\n85446 100000\n63542 95335\n53603 80418\n32847 49262\n78866 100000\n97638 100000\n65469 98204\n90707 100000\n82650 100000\n31373 47035\n42927 64316\n46760 70120\n81206 100000\n48956 73421\n65352 98027\n80228 100000\n96578 100000\n99524 100000\n70849 100000\n86807 100000\n66951 100000\n13492 20264\n9216 13860\n94262 100000\n47467 71185\n22538 33820\n31153 46698\n62737 94122\n73694 100000\n70856 100000\n52115 78179\n71532 100000\n39897 59783\n11951 17986\n78895 100000\n85954 100000\n36420 54620\n5015 7563\n33590 50377\n5501 8298\n14895 22347\n65190 97791\n49936 74890\n63502 95275\n72414 100000\n28782 43141\n6476 9780\n10423 15698\n76775 100000\n82128 100000\n57761 86655\n50605 75899\n94394 100000\n13866 20820\n3089 4643\n64344 96535\n83275 100000\n3815 5724\n46283 69397\n7379 11119\n83511 100000\n51072 76628\n6176 9327\n41671 62459\n96260 100000\n84251 100000\n46223 69295\n24923 37364\n55766 83631\n58228 87357\n2693 4048\n26475 39694\n29701 44533\n35386 53071\n90468 100000\n76405 100000\n88248 100000\n78301 100000\n66460 99690\n20837 31236\n51386 77099\n25091 37623\n99719 100000\n12386 18639\n88560 100000\n7673 11565\n96445 100000\n95192 100000\n29107 43634\n14260 21396\n99939 100000\n44574 66807\n58799 88203\n57152 85737\n5880 8875\n38370 57502\n20067 30097\n6792 10258\n29026 43518\n65997 98990\n52356 78539\n79627 100000\n76318 100000\n33123 49692\n82896 100000\n33592 50379\n62578 93881\n2445 3671\n66224 99329\n75065 100000\n67423 100000\n79404 100000\n87270 100000\n15969 23957\n96947 100000\n77432 100000\n90641 100000\n74129 100000\n33795 50682\n85739 100000\n16117 24184\n25924 38876\n48806 73196\n67750 100000\n99607 100000\n65083 97629\n6537 9877\n374 548\n18717 28063\n29006 43486\n36134 54187\n45907 68811\n26961 40409\n56748 85117\n98050 100000\n96552 100000\n88539 100000\n71708 100000\n69877 100000\n27183 40743\n21130 31679\n32174 48247\n99288 100000\n68727 100000\n35237 52847\n50319 75467\n39446 59090\n70169 100000\n65224 97839\n16665 25005\n48525 72775\n24868 37282\n17686 26531\n71629 100000\n68763 100000\n39843 59702\n74548 100000\n8513 12819\n45288 67864\n44953 67357\n16828 25237\n76275 100000\n84040 100000\n84294 100000\n54573 81846\n20703 31042\n35165 52737\n76968 100000\n75671 100000\n28125 42163\n41194 61738\n64737 97118\n89681 100000\n50776 76168\n20561 30838\n90705 100000\n71176 100000\n73339 100000\n36649 54964\n18642 27942\n59703 89577\n4012 6019\n21970 32968\n19241 28850\n86332 100000\n73 112\n26646 39949\n57535 86318\n21825 32747\n76841 100000\n35527 53277\n83761 100000\n75417 100000\n47691 71526\n58644 87974\n32677 49009\n5875 8866\n35664 53483\n79430 100000\n98829 100000\n52295 78449\n47346 71000\n66507 99763\n93558 100000\n98973 100000\n24535 36782\n61312 91987\n52513 78770\n44652 66917\n5451 8226\n42547 63766\n50237 75342\n13820 20750\n60620 90946\n98633 100000\n69199 100000\n10383 15643\n10342 15575\n7918 11935\n35878 53803\n21340 31992\n54761 82121\n1113 1676\n58931 88396\n83468 100000\n817 1226\n95140 100000\n18894 28324\n79266 100000\n96975 100000\n61842 92780\n12456 18743\n70531 100000\n94359 100000\n75708 100000\n12556 18896\n47337 70989\n32732 49092\n38154 57174\n98635 100000\n16374 24577\n4769 7185\n97854 100000\n31565 47322\n93399 100000\n17178 25774\n44582 66819\n18036 27043\n39896 59782\n46394 69565\n17188 25787\n41544 62267\n33353 50023\n50174 75251\n27936 41880\n20252 30373\n27618 41405\n70179 100000\n90167 100000\n47265 70879\n59854 89806\n62951 94458\n50348 75508\n39279 58841\n71388 100000\n69613 100000\n34453 51667\n54396 81596\n74260 100000\n97614 100000\n65342 98014\n93072 100000\n75068 100000\n31146 46688\n37853 56734\n46026 68994\n89156 100000\n43962 65871\n5438 8205\n55072 82578\n77842 100000\n71024 100000\n16011 24023\n41205 61753\n15777 23671\n96703 100000\n69798 100000\n71308 100000\n77368 100000\n859 1290\n50585 75869\n62243 93377\n91124 100000\n87925 100000\n5863 8844\n42348 63477\n9067 13644\n37851 56731\n89931 100000\n51965 77948\n33298 49941\n92165 100000\n41005 61461\n27803 41676\n99513 100000\n2778 4174\n90634 100000\n67409 100000\n97745 100000\n64578 96879\n37774 56616\n63448 95196\n84859 100000\n33069 49609\n47704 71547\n17258 25891\n37283 55902\n64750 97136\n86246 100000\n91477 100000\n77563 100000\n52751 79125\n99273 100000\n6438 9724\n65948 98912\n12040 18122\n21661 32489\n21075 31593\n5408 8161\n98007 100000\n69362 100000\n19184 28769\n72950 100000\n5736 8648\n40652 60914\n47218 70805\n22552 33845\n4247 6385\n95231 100000\n66086 99131\n29499 44230\n66687 100000\n16556 24843\n21570 32340\n1887 2826\n36634 54943\n50439 75649\n89952 100000\n7145 10775\n55167 82725\n62464 93708\n62025 93053\n44958 67367\n18144 27196\n14032 21059\n51433 77162\n84458 100000\n13101 19703\n24551 36805\n28657 42958\n15439 23170\n82407 100000\n88538 100000\n56732 85092\n24717 37055\n80198 100000\n18750 28112\n46025 68993\n973 1461\n39680 59448\n17425 26141\n806 1209\n77939 100000\n82530 100000\n20438 30641\n98843 100000\n68625 100000\n18214 27293\n41656 62439\n65738 98604\n54732 82078\n2735 4109\n17897 26848\n44198 66228\n49242 73844\n79811 100000\n62158 93253\n57679 86532\n21392 32077\n41297 61888\n54002 81014\n82911 100000\n55547 83306\n88831 100000\n20487 30718\n92818 100000\n69178 100000\n16533 24809\n22484 33745\n27207 40781\n51130 76716\n27065 40568\n29714 44551\n73219 100000\n19291 28925\n18553 27803\n75586 100000\n31175 46733\n7935 11961\n45375 67998\n33087 49637\n61421 92153\n49450 74163\n70594 100000\n89158 100000\n6533 9869\n68323 100000\n99206 100000\n37154 55707\n6834 10319\n6965 10512\n71619 100000\n66033 99047\n46191 69244\n49221 73811\n82646 100000\n41427 62087\n70096 100000\n7244 10921\n62004 93023\n98898 100000\n39031 58479\n49299 73933\n19317 28963\n29239 43836\n834 1251\n16389 24600\n11169 16821\n57952 86941\n40600 60836\n52007 78017\n85269 100000\n97339 100000\n41426 62085\n35354 53017\n37782 56627\n88227 100000\n54198 81301\n30519 45746\n92682 100000\n30799 46173\n75591 100000\n19632 29437\n68991 100000\n87437 100000\n35760 53625\n19463 29179\n33697 50537\n12491 18800\n46916 70359\n50069 75090\n17224 25839\n74259 100000\n17870 26810\n74140 100000\n42802 64130\n30718 46045\n85092 100000\n41517 62227\n59826 89762\n64650 96988\n82825 100000\n20478 30703\n74476 100000\n24047 36067\n32475 48705\n67020 100000\n90654 100000\n59947 89946\n13404 20142\n86032 100000\n46833 70230\n51208 76835\n74195 100000\n87321 100000\n57556 86348\n88711 100000\n94350 100000\n29563 44326\n82497 100000\n75098 100000\n47966 71930\n72077 100000\n18262 27366\n51954 77933\n23203 34812\n97227 100000\n99416 100000\n83611 100000\n52261 78402\n45790 68634\n15876 23816\n32363 48529\n45474 68140\n60302 90473\n43333 64934\n91247 100000\n6997 10557\n93913 100000\n60756 91144\n35737 53592\n61537 92330\n58401 87611\n10291 15499\n41515 62224\n29834 44728\n72791 100000\n45228 67776\n35813 53703\n54466 81691\n16986 25479\n92027 100000\n57353 86047\n55511 83253\n35297 52933\n93825 100000\n59337 89021\n81718 100000\n17782 26676\n14869 22306\n64469 96720\n34469 51692\n3526 5295\n38822 58162\n34376 51556\n80539 100000\n17028 25546\n99954 100000\n32061 48081\n4282 6438\n1322 1989\n90598 100000\n75446 100000\n53891 80846\n39731 59527\n28099 42128\n43861 65718\n29959 44917\n53143 79722\n51141 76731\n32972 49456\n38925 58320\n56565 84841\n24434 36635\n34627 51942\n41371 61999\n43348 64954\n18679 28001\n74307 100000\n43846 65698\n53316 79975\n28486 42706\n99497 100000\n38277 57364\n81061 100000\n22299 33472\n14206 21321\n11720 17636\n78793 100000\n1808 2706\n75539 100000\n87889 100000\n44743 67050\n60595 90909\n37665 56455\n77826 100000\n76981 100000\n13178 19811\n69559 100000\n74526 100000\n79265 100000\n39495 59165\n1449 2179\n44057 66015\n56225 84328\n26666 39980\n37737 56560\n61433 92171\n28479 42694\n54159 81244\n49598 74397\n25740 38598\n43995 65920\n88322 100000\n90818 100000\n98436 100000\n2547 3829\n55900 83835\n95625 100000\n79818 100000\n60610 90930\n42202 63255\n55489 83220\n95969 100000\n82926 100000\n8598 12950\n86831 100000\n88813 100000\n23429 35147\n22450 33703\n32382 48558\n85288 100000\n15469 23213\n70699 100000\n24460 36674\n65526 98288\n56365 84534\n92323 100000\n13006 19555\n35355 53019\n54515 81765\n65313 97965\n74674 100000\n55463 83181\n60096 90172\n93343 100000\n99209 100000\n4688 7062\n75999 100000\n88910 100000\n80463 100000\n66238 99348\n95503 100000\n67975 100000\n49890 74823\n72545 100000\n28837 43232\n9289 13975\n26829 40214\n46827 70222\n51027 76563\n98872 100000\n59984 90000\n25681 38505\n46179 69226\n4888 7368\n54425 81636\n88907 100000\n40965 61399\n319 466\n48143 72191\n90849 100000\n20022 30030\n99204 100000\n78708 100000\n57931 86907\n61390 92106\n64745 97131\n35271 52897\n97844 100000\n69669 100000\n33300 49944\n17929 26890\n18318 27452\n54764 82125\n93713 100000\n28256 42359\n64426 96657\n66315 99474\n81578 100000\n659 983\n89036 100000\n17192 25793\n7125 10743\n18125 27168\n51809 77717\n24500 36733\n59461 89203\n31690 47512\n36857 55275\n495 741\n29157 43711\n30693 46009\n62522 93792\n35108 52648\n33237 49853\n90769 100000\n41030 61501\n17922 26879\n90319 100000\n25100 37636\n53409 80111\n73087 100000\n2288 3435\n32468 48694\n7993 12044\n10348 15583\n93129 100000\n78152 100000\n31096 46616\n91326 100000\n1545 2327\n17623 26437\n83827 100000\n78586 100000\n74276 100000\n62594 93906\n57877 86822\n63719 95596\n16544 24825\n94684 100000\n48130 72172\n81878 100000\n77600 100000\n58207 87327\n57227 85850\n90837 100000\n39405 59032\n80858 100000\n88697 100000\n30868 46279\n69480 100000\n3931 5905\n2782 4181\n55407 83095\n32949 49420\n4190 6295\n38193 57232\n21025 31518\n92271 100000\n51373 77081\n55221 82798\n3851 5778\n45013 67446\n48883 73310\n16940 25403\n44049 66002\n39355 58957\n81303 100000\n13758 20656\n27510 41237\n59817 89748\n97178 100000\n16639 24965\n98524 100000\n51463 77203\n9042 13608\n62994 94524\n51028 76564\n74350 100000\n35494 53228\n70232 100000\n78837 100000\n9219 13864\n79444 100000\n71192 100000\n54712 82048\n69691 100000\n15559 23352\n22257 33412\n74532 100000\n6246 9435\n91455 100000\n82062 100000\n60517 90796\n60899 91367\n76314 100000\n33312 49962\n63941 95934\n86550 100000\n63917 95900\n61251 91895\n17538 26312\n87137 100000\n38569 57802\n29699 44530\n92144 100000\n5992 9053\n34777 52166\n24574 36841\n16694 25049\n35128 52676\n55814 83704\n50590 75879\n63898 95871\n82178 100000\n9523 14326\n25707 38548\n18752 28114\n84560 100000\n66229 99336\n53955 80941\n69154 100000\n55942 83901\n60788 91187\n97337 100000\n78515 100000\n74772 100000\n69389 100000\n40878 61262\n13666 20519\n51111 76687\n75048 100000\n412 608\n75238 100000\n52187 78290\n3136 4716\n73147 100000\n34234 51337\n48621 72926\n68129 100000\n94347 100000\n43398 65025\n11870 17859\n63605 95426\n75628 100000\n65511 98266\n5367 8100\n99871 100000\n51967 77951\n9780 14719\n29337 43985\n87534 100000\n56651 84977\n48243 72349\n23124 34695\n62599 93914\n41546 62269\n71186 100000\n91712 100000\n48368 72530\n50731 76102\n64100 96171\n31656 47459\n52854 79278\n89287 100000\n25518 38253\n59765 89674\n60321 90502\n28083 42106\n40216 60264\n25538 38284\n95827 100000\n28646 42941\n33150 49733\n11355 17096\n12133 18262\n99144 100000\n57490 86249\n14915 22377\n91303 100000\n255 375\n16475 24726\n55359 83019\n4864 7331\n69201 100000\n90017 100000\n97340 100000\n43305 64894\n68902 100000\n85019 100000\n46630 69920\n8252 12417\n16069 24113\n93400 100000\n70012 100000\n67684 100000\n2315 3478\n39992 59931\n28353 42503\n6272 9470\n71945 100000\n89437 100000\n91411 100000\n37285 55906\n93911 100000\n78014 100000\n4837 7290\n61917 92895\n39459 59111\n2979 4475\n62610 93931\n2925 4398\n12248 18441\n69914 100000\n94131 100000\n51255 76901\n98455 100000\n47180 70748\n58261 87409\n90892 100000\n56042 84048\n43437 65084\n30956 46410\n58452 87688\n79253 100000\n53031 79544\n71875 100000\n46276 69385\n36510 54755\n58288 87450\n63444 95190\n74111 100000\n20159 30236\n78317 100000\n91387 100000\n55220 82797\n36923 55370\n86504 100000\n85958 100000\n61770 92672\n65962 98932\n65369 98053\n13090 19683\n77836 100000\n48207 72293\n42608 63856\n64796 97201\n41848 62722\n59566 89370\n53279 79922\n71290 100000\n88347 100000\n91166 100000\n90822 100000\n97714 100000\n89313 100000\n81432 100000\n99479 100000\n96144 100000\n37037 55532\n62371 93573\n5858 8834\n51750 77631\n20893 31318\n63640 95477\n54788 82156\n44063 66022\n63519 95300\n23560 35342\n5265 7945\n3722 5585\n61637 92470\n75967 100000\n59382 89089\n68687 100000\n26390 39573\n1401 2106\n65612 98419\n5958 9000\n42765 64075\n28106 42138\n19314 28958\n7994 12045\n41034 61508\n70512 100000\n33986 50969\n2155 3232\n64614 96933\n3702 5557\n712 1059\n73875 100000\n51842 77767\n18042 27053\n76440 100000\n57302 85967\n575 863\n1658 2492\n38558 57784\n90643 100000\n56989 85489\n48088 72115\n89666 100000\n19996 29993\n37849 56728\n52117 78181\n23535 35305\n23602 35411\n54537 81791\n74506 100000\n40405 60547\n17598 26402\n81058 100000\n20996 31472\n65538 98308\n56849 85273\n81657 100000\n33542 50305\n70154 100000\n53608 80425\n39758 59569\n49785 74670\n31671 47482\n92820 100000\n67556 100000\n88153 100000\n54248 81378\n96199 100000\n25015 37504\n19239 28846\n79700 100000\n26400 39590\n89697 100000\n775 1164\n20526 30779\n41408 62055\n22350 33546\n26892 40310\n87393 100000\n10476 15774\n56004 83990\n80567 100000\n48986 73464\n99401 100000\n44429 66580\n64164 96266\n35195 52785\n41020 61485\n83740 100000\n33844 50760\n97075 100000\n23412 35123\n28913 43349\n53234 79858\n87168 100000\n37441 56127\n74453 100000\n99979 100000\n35226 52831\n16464 24710\n19495 29227\n95241 100000\n15886 23830\n33368 50046\n69303 100000\n90239 100000\n6550 9894\n72123 100000\n86572 100000\n62801 94216\n83306 100000\n62825 94259\n10209 15381\n17941 26904\n74109 100000\n32331 48484\n8750 13167\n35675 53499\n60282 90444\n9267 13940\n41171 61706\n70889 100000\n19566 29336\n8667 13047\n79222 100000\n74218 100000\n24843 37244\n82175 100000\n16027 24048\n9366 14087\n31156 46702\n2282 3426\n65696 98545\n32342 48500\n16650 24983\n96333 100000\n57860 86798\n12243 18431\n66661 99998\n24257 36373\n57370 86072\n34984 52472\n12320 18543\n32563 48842\n17741 26611\n25871 38794\n95672 100000\n55169 82727\n78000 100000\n46964 70431\n95654 100000\n52237 78365\n40972 61408\n76352 100000\n70990 100000\n21508 32250\n23005 34520\n68119 100000\n27751 41599\n92605 100000\n44280 66353\n84417 100000\n88479 100000\n26947 40391\n42612 63862\n84784 100000\n34926 52383\n18470 27677\n12307 18524\n1841 2757\n77317 100000\n50774 76165\n13729 20614\n50425 75629\n56055 84068\n79895 100000\n14586 21893\n46218 69288\n47626 71431\n73994 100000\n47790 71674\n10044 15134\n46803 70187\n60977 91485\n30439 45615\n14531 21810\n64172 96275\n52874 79307\n94365 100000\n16220 24339\n26086 39123\n21021 31512\n99950 100000\n52311 78473\n75778 100000\n63600 95419\n86390 100000\n80443 100000\n26220 39321\n25456 38162\n85419 100000\n91752 100000\n81532 100000\n15077 22621\n45532 68231\n257 377\n20116 30170\n93699 100000\n78311 100000\n80065 100000\n39618 59353\n71398 100000\n91183 100000\n24324 36474\n13071 19655\n86352 100000\n70795 100000\n85711 100000\n77747 100000\n40653 60916\n80390 100000\n52037 78060\n65598 98398\n42162 63199\n81369 100000\n3097 4653\n44762 67079\n63358 95060\n8191 12332\n96069 100000\n48584 72867\n9558 14379\n19457 29171\n5470 8254\n29805 44688\n99887 100000\n35751 53613\n36278 54403\n59916 89895\n23268 34912\n64688 97050\n13244 19905\n43057 64516\n90870 100000\n72139 100000\n40397 60536\n27680 41494\n67659 100000\n86881 100000\n85769 100000\n49968 74941\n89217 100000\n38596 57841\n84750 100000\n60851 91289\n91943 100000\n74925 100000\n7240 10916\n24852 37258\n66749 100000\n45612 68358\n89086 100000\n44217 66252\n65753 98625\n79014 100000\n59236 88866\n13660 20510\n16921 25372\n23482 35230\n62381 93588\n22828 34252\n49473 74196\n83348 100000\n97211 100000\n74286 100000\n23375 35073\n75629 100000\n66917 100000\n78933 100000\n29179 43749\n83981 100000\n89784 100000\n38871 58240\n64531 96813\n33427 50140\n14136 21215\n37686 56486\n33473 50212\n33382 50067\n20819 31208\n47714 71559\n54289 81440\n93662 100000\n5911 8924\n78550 100000\n55663 83477\n49382 74061\n38309 57410\n31943 47890\n20770 31143\n11375 17127\n26994 40459\n29032 43528\n55057 82554\n2690 4044\n25929 38884\n54929 82366\n97914 100000\n41541 62262\n79704 100000\n58073 87125\n79275 100000\n34404 51597\n52071 78111\n92415 100000\n79018 100000\n63401 95128\n7512 11320\n72742 100000\n36255 54365\n88112 100000\n57053 85585\n17065 25604\n61573 92381\n70331 100000\n99520 100000\n40755 61072\n29582 44351\n33431 50147\n40259 60328\n61931 92914\n11092 16705\n94294 100000\n21771 32664\n52452 78684\n98153 100000\n44726 67023\n8070 12156\n44124 66116\n2424 3638\n51643 77478\n94990 100000\n31036 46525\n7491 11291\n49620 74430\n39440 59082\n96275 100000\n51046 76590\n27247 40839\n12170 18320\n44575 66808\n1245 1873\n26860 40262\n1644 2467\n53923 80895\n14913 22374\n14021 21042\n27405 41072\n32617 48920\n38643 57905\n90159 100000\n22847 34282\n73290 100000\n31591 47361\n81380 100000\n97409 100000\n1852 2773\n22199 33323\n42893 64263\n89580 100000\n12663 19057\n69821 100000\n59372 89075\n73432 100000\n18566 27820\n66491 99738\n15655 23497\n24540 36789\n66337 99506\n93356 100000\n34675 52012\n20824 31216\n59507 89278\n31097 46617\n11759 17691\n25271 37884\n55874 83797\n51518 77284\n11201 16868\n58162 87258\n21856 32795\n97739 100000\n75765 100000\n69404 100000\n92245 100000\n63821 95753\n35050 52566\n56103 84136\n30287 45391\n22161 33263\n83435 100000\n57750 86639\n53995 81004\n9093 13682\n60974 91479\n4989 7523\n94029 100000\n46555 69811\n28236 42329\n96304 100000\n3932 5906\n82464 100000\n57627 86454\n14097 21156\n75997 100000\n59277 88930\n9114 13709\n16998 25495\n25395 38072\n45382 68007\n80136 100000\n75438 100000\n30611 45887\n51403 77122\n49651 74474\n58056 87101\n32611 48911\n43544 65245\n86005 100000\n86757 100000\n74288 100000\n15072 22613\n21957 32951\n41681 62473\n69744 100000\n16841 25257\n50602 75896\n95692 100000\n35918 53858\n32472 48700\n65117 97684\n77735 100000\n25497 38223\n25629 38428\n91827 100000\n29533 44283\n53107 79669\n99762 100000\n59661 89514\n23086 34639\n68041 100000\n49220 73810\n81751 100000\n61474 92230\n73442 100000\n5162 7789\n51191 76808\n49665 74497\n52185 78286\n45614 68362\n80238 100000\n83943 100000\n45074 67542\n48133 72177\n62577 93880\n49266 73880\n57893 86845\n70792 100000\n89718 100000\n9957 14998\n63784 95696\n82845 100000\n16844 25260\n214 318\n79780 100000\n40362 60483\n4876 7349\n24624 36913\n37514 56235\n38245 57314\n1472 2216\n3137 4717\n2346 3528\n74883 100000\n37101 55626\n61482 92243\n60355 90550\n77228 100000\n76769 100000\n18222 27304\n35848 53757\n67740 100000\n56914 85373\n64451 96696\n42974 64388\n52863 79291\n3766 5648\n73488 100000\n30688 46002\n30953 46407\n96890 100000\n75815 100000\n57520 86296\n34133 51186\n4276 6430\n53266 79904\n32857 49279\n9090 13678\n76401 100000\n28048 42061\n8592 12939\n30369 45507\n78667 100000\n53845 80780\n67311 100000\n45577 68299\n69522 100000\n90026 100000\n20584 30877\n57373 86077\n38402 57551\n99439 100000\n47932 71883\n69036 100000\n88164 100000\n16569 24863\n16918 25368\n76571 100000\n46923 70368\n39683 59453\n68317 100000\n5980 9035\n42446 63625\n12588 18944\n50717 76077\n57748 86636\n76556 100000\n52722 79085\n49795 74683\n63666 95517\n82910 100000\n1217 1830\n88700 100000\n17605 26412\n59342 89028\n59361 89059\n5466 8249\n74943 100000\n51231 76869\n36053 54062\n92325 100000\n97763 100000\n24489 36717\n31747 47600\n46978 70451\n79223 100000\n32955 49430\n12233 18415\n54016 81036\n39665 59425\n83290 100000\n8731 13141\n45344 67946\n32477 48707\n59237 88867\n47945 71901\n65055 97587\n81366 100000\n63117 94713\n50647 75959\n48495 72725\n51408 77128\n12323 18548\n75530 100000\n84229 100000\n11630 17507\n20513 30759\n81144 100000\n36349 54511\n1575 2367\n26705 40040\n80721 100000\n71725 100000\n92995 100000\n17114 25675\n28528 42768\n74417 100000\n55151 82702\n92666 100000\n25046 37557\n18600 27872\n44226 66265\n22191 33311\n35306 52946\n29041 43541\n29852 44755\n17820 26731\n91686 100000\n67825 100000\n22277 33444\n96062 100000\n18729 28082\n93121 100000\n91028 100000\n31703 47533\n14133 21211\n76315 100000\n84696 100000\n48149 72202\n58172 87271\n98107 100000\n50810 76219\n37057 55562\n84824 100000\n72962 100000\n66442 99662\n29840 44738\n8282 12459\n75416 100000\n42889 64257\n50426 75630\n17400 26105\n48291 72417\n51631 77460\n35528 53278\n2406 3613\n30865 46274\n51029 76565\n26215 39315\n14931 22400\n26188 39272\n68713 100000\n19250 28864\n11677 17572\n34125 51173\n14788 22187\n62428 93656\n13221 19873\n72533 100000\n28723 43058\n56179 84257\n96465 100000\n20575 30862\n53003 79502\n53482 80228\n54995 82458\n89775 100000\n86440 100000\n27892 41817\n34718 52079\n85042 100000\n20447 30654\n50510 75759\n75833 100000\n82539 100000\n73724 100000\n50081 75108\n90134 100000\n40806 61154\n77633 100000\n47570 71341\n59687 89554\n25239 37837\n63363 95069\n29370 44031\n39251 58803\n86961 100000\n67804 100000\n15826 23742\n61784 92692\n501 749\n26429 39633\n92896 100000\n9153 13769\n85468 100000\n15209 22829\n70725 100000\n63536 95327\n34522 51778\n65682 98525\n75128 100000\n71252 100000\n67968 100000\n49577 74364\n66660 99996\n94230 100000\n82083 100000\n36228 54320\n66800 100000\n18634 27928\n93838 100000\n30249 45336\n66765 100000\n55548 83308\n41421 62077\n72113 100000\n12128 18255\n70614 100000\n83069 100000\n90331 100000\n48763 73133\n17375 26066\n12918 19422\n39863 59735\n35569 53340\n61432 92170\n57966 86960\n18048 27061\n55868 83788\n80188 100000\n6355 9604\n85677 100000\n88175 100000\n42834 64177\n43312 64905\n57650 86487\n21107 31643\n31551 47302\n13648 20490\n49107 73635\n38124 57129\n7946 11977\n25049 37562\n63375 95087\n99280 100000\n14446 21684\n99000 100000\n66071 99105\n61646 92485\n13455 20216\n43476 65141\n43539 65238\n52228 78351\n42136 63161\n42286 63383\n74263 100000\n33171 49762\n51938 77910\n87385 100000\n31649 47450\n7166 10803\n54001 81013\n8415 12670\n28700 43024\n99883 100000\n12413 18679\n70260 100000\n76 115\n93759 100000\n32411 48607\n99141 100000\n15798 23701\n27037 40525\n79705 100000\n30559 45808\n55904 83842\n18839 28240\n81338 100000\n15025 22543\n77774 100000\n99491 100000\n64060 96112\n43144 64644\n80756 100000\n74396 100000\n16792 25185\n14607 21925\n1527 2300\n69627 100000\n64441 96679\n49354 74017\n86673 100000\n7475 11267\n47465 71182\n2890 4343\n60159 90267\n26312 39458\n27783 41645\n89847 100000\n20260 30386\n3721 5584\n68352 100000\n65253 97881\n97455 100000\n59919 89899\n50412 75610\n48659 72980\n73518 100000\n82542 100000\n37058 55564\n27715 41548\n39283 58847\n38148 57164\n95514 100000\n17762 26644\n80840 100000\n73778 100000\n42602 63847\n39000 58431\n33365 50041\n85903 100000\n28122 42160\n17163 25752\n60381 90587\n67431 100000\n78240 100000\n25070 37591\n20867 31279\n88677 100000\n89633 100000\n63226 94872\n54785 82152\n53447 80173\n26515 39752\n65946 98909\n91799 100000\n23363 35057\n39271 58832\n83062 100000\n57342 86027\n90315 100000\n88861 100000\n61837 92774\n96529 100000\n30639 45925\n68360 100000\n96093 100000\n75555 100000\n59788 89707\n69255 100000\n53280 79924\n99409 100000\n44714 67007\n53977 80974\n26365 39536\n77796 100000\n21008 31492\n49789 74676\n57462 86208\n46306 69430\n36752 55115\n11808 17761\n61143 91737\n43920 65811\n13885 20850\n87241 100000\n34736 52104\n68832 100000\n19733 29593\n96210 100000\n48531 72784\n37106 55634\n90175 100000\n65741 98607\n2055 3078\n32349 48509\n84015 100000\n41441 62107\n95367 100000\n79832 100000\n40436 60591\n10898 16411\n41261 61835\n12344 18580\n44557 66781\n10336 15569\n93166 100000\n38047 57016\n71069 100000\n16215 24332\n94259 100000\n53819 80736\n1625 2439\n76568 100000\n3093 4648\n72887 100000\n1325 1993\n33428 50141\n91735 100000\n43277 64850\n83380 100000\n69150 100000\n59722 89608\n33719 50573\n94685 100000\n82060 100000\n88342 100000\n42986 64405\n73507 100000\n21819 32738\n20047 30067\n46174 69218\n84435 100000\n37540 56273\n82213 100000\n45021 67456\n2524 3791\n53764 80662\n90347 100000\n45151 67661\n32621 48926\n34198 51283\n94994 100000\n30776 46136\n25262 37871\n10736 16171\n77988 100000\n11085 16692\n7062 10649\n81673 100000\n77688 100000\n11213 16885\n97295 100000\n14701 22061\n70821 100000\n14094 21150\n31088 46603\n35141 52698\n40148 60165\n75874 100000\n47125 70665\n83646 100000\n23091 34647\n86832 100000\n4183 6285\n31106 46630\n43724 65513\n62055 93095\n70061 100000\n5640 8507\n14079 21127\n19367 29034\n65239 97861\n23266 34908\n69657 100000\n55106 82631\n58819 88230\n24200 36292\n20857 31264\n97280 100000\n28505 42737\n71575 100000\n2195 3287\n75252 100000\n95068 100000\n36549 54818\n45082 67554\n64850 97281\n44442 66600\n228 335\n4195 6301\n23963 35944\n99786 100000\n26322 39473\n68379 100000\n73582 100000\n11511 17328\n25887 38818\n98243 100000\n54363 81551\n81250 100000\n52939 79404\n50266 75388\n14526 21803\n98381 100000\n57262 85904\n77689 100000\n26647 39951\n98673 100000\n20390 30573\n16545 24826\n3485 5239\n35222 52823\n44984 67404\n79029 100000\n13061 19642\n53360 80033\n40431 60586\n87323 100000\n43916 65805\n7463 11248\n51687 77546\n32114 48157\n35646 53455\n79157 100000\n55245 82841\n13289 19970\n16863 25289\n58869 88300\n92491 100000\n4980 7511\n97408 100000\n57880 86828\n84346 100000\n20666 30991\n91807 100000\n505 755\n42789 64113\n69868 100000\n27035 40521\n67948 100000\n32763 49139\n94273 100000\n62593 93904\n8868 13341\n75422 100000\n21822 32743\n24012 36014\n29330 43973\n5154 7775\n72577 100000\n87037 100000\n30077 45087\n43932 65825\n94102 100000\n72731 100000\n14065 21111\n48761 73130\n79987 100000\n60682 91040\n98339 100000\n40835 61195\n11867 17853\n70774 100000\n13863 20814\n25050 37563\n67137 100000\n69050 100000\n5623 8481\n21714 32572\n12786 19238\n46363 69520\n43073 64539\n73345 100000\n84336 100000\n54882 82298\n35959 53926\n42958 64361\n82238 100000\n24767 37129\n52811 79215\n39888 59771\n95312 100000\n92208 100000\n146 221\n84341 100000\n36962 55428\n28595 42864\n93277 100000\n50197 75288\n13160 19785\n8478 12765\n95418 100000\n86656 100000\n64653 96992\n74962 100000\n91105 100000\n95090 100000\n99673 100000\n93915 100000\n91668 100000\n48034 72030\n53802 80717\n84272 100000\n89859 100000\n59814 89744\n17296 25950\n59089 88637\n77441 100000\n69306 100000\n89394 100000\n72495 100000\n85946 100000\n14484 21738\n79896 100000\n85688 100000\n95951 100000\n32510 48761\n80440 100000\n15258 22901\n23335 35015\n83756 100000\n21082 31607\n5177 7812\n15161 22750\n41460 62138\n74221 100000\n74176 100000\n4817 7256\n38661 57930\n65000 97510\n93555 100000\n47270 70885\n66596 99896\n43776 65589\n27677 41489\n60441 90682\n42593 63835\n54401 81602\n11959 17998\n86388 100000\n3605 5414\n6617 9993\n76106 100000\n60386 90595\n85830 100000\n56853 85281\n89422 100000\n2380 3575\n56825 85237\n39643 59389\n44394 66521\n83299 100000\n40037 59995\n54978 82433\n82764 100000\n78889 100000\n74275 100000\n27990 41970\n37799 56654\n27258 40857\n61089 91654\n84470 100000\n65813 98709\n72707 100000\n69431 100000\n58225 87353\n31300 46924\n88285 100000\n59274 88925\n27108 40635\n77418 100000\n72773 100000\n40256 60324\n10886 16393\n66398 99598\n14496 21757\n40283 60366\n71497 100000\n34451 51664\n86036 100000\n67745 100000\n1787 2679\n96983 100000\n54149 81233\n3852 5780\n20327 30478\n74810 100000\n34855 52278\n33403 50100\n1669 2510\n35977 53953\n85138 100000\n1455 2190\n16997 25493\n47653 71471\n83332 100000\n65329 97990\n74906 100000\n91620 100000\n49274 73891\n74910 100000\n53137 79712\n56360 84526\n92290 100000\n7007 10570\n68300 100000\n13609 20432\n69824 100000\n78768 100000\n78658 100000\n33184 49781\n35471 53193\n86697 100000\n35011 52509\n88038 100000\n22195 33317\n54035 81063\n26552 39808\n86616 100000\n15243 22880\n86338 100000\n98655 100000\n69536 100000\n81218 100000\n26613 39897\n53018 79527\n43896 65772\n19090 28627\n93470 100000\n62781 94188\n54162 81248\n8616 12979\n13225 19878\n89243 100000\n75696 100000\n3501 5262\n52551 78833\n55312 82948\n29988 44960\n78171 100000\n89344 100000\n37083 55601\n97560 100000\n12970 19501\n33664 50492\n65362 98043\n35747 53608\n700 1042\n88496 100000\n34383 51568\n9766 14696\n95480 100000\n1378 2074\n44103 66088\n14997 22501\n3277 4925\n7688 11587\n58839 88263\n84370 100000\n88617 100000\n90399 100000\n43368 64982\n46038 69013\n4316 6492\n17954 26922\n13132 19742\n37016 55503\n5515 8319\n38599 57845\n89130 100000\n39455 59104\n44072 66039\n42203 63256\n67165 100000\n91547 100000\n79306 100000\n19106 28651\n70640 100000\n23915 35870\n70143 100000\n97274 100000\n16400 24615\n26618 39906\n19092 28630\n50694 76039\n74113 100000\n15634 23467\n13239 19898\n31362 47017\n29832 44726\n75579 100000\n72830 100000\n42550 63770\n33480 50223\n26507 39741\n28399 42571\n73772 100000\n30863 46270\n74646 100000\n64809 97219\n99630 100000\n56536 84796\n25081 37607\n14946 22425\n53929 80903\n49926 74876\n16458 24700\n14871 22310\n92234 100000\n17346 26027\n50251 75364\n66255 99377\n28266 42377\n91250 100000\n15995 23998\n25989 38975\n52921 79380\n35338 52993\n1805 2701\n92251 100000\n11409 17178\n30127 45160\n1506 2270\n74121 100000\n2943 4428\n80554 100000\n97256 100000\n582 874\n75312 100000\n13838 20777\n98697 100000\n62325 93499\n7493 11294\n11219 16894\n78832 100000\n41604 62361\n21308 31941\n40153 60171\n91539 100000\n14697 22055\n22884 34336\n13140 19753\n59966 89974\n4484 6748\n24387 36567\n69839 100000\n71507 100000\n63372 95081\n7348 11074\n7343 11066\n17145 25723\n15889 23835\n51381 77092\n51628 77456\n71074 100000\n99 151\n45747 68570\n67950 100000\n75643 100000\n41959 62893\n68402 100000\n47928 71878\n81204 100000\n25530 38270\n14124 21197\n93381 100000\n66116 99176\n90327 100000\n86292 100000\n59560 89360\n91991 100000\n23595 35400\n87361 100000\n33384 50071\n55578 83350\n47800 71689\n82649 100000\n48354 72511\n36803 55196\n25901 38838\n24049 36069\n73826 100000\n67026 100000\n59736 89629\n56707 85054\n38172 57203\n46960 70424\n77708 100000\n28303 42429\n59121 88688\n75631 100000\n99525 100000\n77010 100000\n64640 96974\n33520 50277\n75215 100000\n29038 43536\n68012 100000\n48642 72956\n96781 100000\n14941 22416\n21215 31808\n897 1343\n96208 100000\n59463 89205\n53434 80153\n4459 6713\n15649 23488\n52366 78555\n91456 100000\n71665 100000\n11443 17231\n35582 53360\n17915 26869\n1943 2905\n88649 100000\n75353 100000\n86446 100000\n28554 42805\n30833 46225\n96363 100000\n23077 34626\n73347 100000\n27554 41305\n5536 8350\n38174 57207\n41645 62424\n69961 100000\n36555 54825\n85503 100000\n60230 90372\n88021 100000\n11033 16617\n26103 39151\n84628 100000\n34983 52470\n35752 53615\n74215 100000\n88924 100000\n53967 80960\n40150 60167\n17275 25915\n78440 100000\n61211 91838\n41398 62039\n47931 71882\n72342 100000\n64699 97067\n32182 48259\n45299 67882\n16710 25071\n83888 100000\n44440 66597\n7222 10884\n72305 100000\n23615 35429\n8156 12280\n50631 75937\n4840 7296\n55110 82637\n40951 61374\n22438 33683\n14549 21838\n50946 76436\n33377 50059\n70881 100000\n87894 100000\n80241 100000\n96102 100000\n54582 81856\n81714 100000\n66948 100000\n94069 100000\n13211 19855\n17935 26897\n35109 52649\n38705 57990\n25346 37995\n40784 61120\n41669 62457\n5554 8376\n67405 100000\n33743 50607\n78608 100000\n15054 22586\n56966 85450\n41790 62637\n47533 71285\n17531 26302\n57708 86578\n30864 46272\n34269 51387\n60079 90145\n21174 31747\n50440 75650\n25852 38765\n52926 79385\n55329 82973\n83953 100000\n29227 43820\n24175 36255\n83401 100000\n83072 100000\n3521 5288\n54341 81521\n7656 11539\n41498 62196\n180 268\n85843 100000\n12849 19326\n93961 100000\n16417 24641\n42696 63981\n46989 70469\n10581 15934\n82923 100000\n67389 100000\n16256 24393\n41744 62572\n12608 18971\n46069 69062\n97239 100000\n68874 100000\n30110 45137\n73321 100000\n74444 100000\n39841 59699\n70559 100000\n73702 100000\n14898 22352\n43810 65640\n28132 42173\n95977 100000\n30097 45118\n18732 28086\n49338 73992\n34167 51239\n19054 28570\n7081 10677\n75763 100000\n68831 100000\n77692 100000\n24970 37435\n25867 38788\n8775 13206\n9657 14525\n61940 92927\n23179 34775\n55864 83781\n40133 60142\n88035 100000\n46820 70211\n85750 100000\n78741 100000\n99109 100000\n40231 60287\n4358 6555\n8822 13275\n43678 65446\n32708 49055\n18053 27066\n67097 100000\n37304 55934\n48167 72234\n73277 100000\n49581 74371\n65393 98089\n7137 10763\n1291 1941\n43350 64956\n59718 89602\n55692 83521\n37817 56677\n75665 100000\n80 123\n30560 45810\n26642 39944\n46357 69510\n15507 23272\n25655 38466\n62548 93832\n24233 36340\n96773 100000\n63880 95842\n91173 100000\n36380 54557\n46862 70278\n38163 57187\n40563 60780\n94423 100000\n66981 100000\n57928 86904\n66067 99101\n32772 49151\n66870 100000\n66011 99014\n12999 19545\n23623 35440\n76646 100000\n80072 100000\n91665 100000\n99759 100000\n33712 50561\n6538 9878\n64481 96735\n7552 11383\n50330 75482\n69925 100000\n69042 100000\n12520 18842\n84725 100000\n59368 89069\n40525 60723\n65209 97818\n27882 41801\n20384 30564\n69260 100000\n40357 60478\n41651 62433\n40718 61013\n67254 100000\n93858 100000\n32015 48011\n18435 27624\n92709 100000\n95878 100000\n12569 18917\n26991 40456\n12514 18834\n40508 60694\n82166 100000\n66622 99935\n97605 100000\n25340 37985\n96255 100000\n63095 94681\n63887 95853\n90934 100000\n72430 100000\n64852 97285\n76788 100000\n73332 100000\n59411 89130\n15210 22831\n75477 100000\n15800 23704\n47456 71167\n32172 48244\n45133 67633\n18419 27601\n54595 81876\n41913 62823\n43841 65690\n13395 20128\n16973 25457\n29298 43927\n77477 100000\n80681 100000\n21500 32237\n12788 19242\n77682 100000\n79274 100000\n24746 37099\n30467 45663\n96795 100000\n43041 64491\n24037 36051\n65743 98610\n6919 10444\n65608 98414\n46275 69383\n61791 92701\n10929 16461\n77344 100000\n68801 100000\n18270 27379\n88125 100000\n51371 77079\n38218 57271\n92863 100000\n94316 100000\n79031 100000\n32394 48578\n89101 100000\n2681 4030\n26469 39686\n63749 95645\n92074 100000\n927 1392\n70503 100000\n13840 20779\n59409 89126\n49897 74834\n60680 91036\n55643 83449\n94527 100000\n22253 33406\n87614 100000\n73351 100000\n18923 28365\n59778 89694\n25446 38146\n14143 21225\n94785 100000\n12362 18604\n44704 66995\n29031 43527\n81512 100000\n65499 98249\n92408 100000\n62189 93294\n41173 61709\n57163 85754\n54643 81944\n91095 100000\n49650 74473\n30913 46346\n26956 40403\n37916 56825\n33225 49837\n42528 63741\n1373 2068\n16881 25317\n73634 100000\n57097 85651\n32045 48057\n66 100\n9909 14918\n92522 100000\n10680 16084\n32630 48939\n19284 28914\n3776 5664\n96454 100000\n26677 39996\n17973 26947\n27926 41864\n6675 10086\n33883 50813\n56240 84348\n90844 100000\n71011 100000\n33915 50856\n24240 36349\n94264 100000\n78969 100000\n28822 43205\n55535 83289\n44546 66765\n12472 18771\n78707 100000\n43884 65755\n63530 95316\n97558 100000\n63315 94998\n72026 100000\n73513 100000\n5730 8641\n73587 100000\n49271 73888\n10605 15973\n56088 84114\n34001 50989\n96485 100000\n6027 9104\n58945 88417\n37254 55854\n31719 47560\n83922 100000\n40719 61014\n38774 58090\n53885 80837\n12305 18521\n28502 42732\n86666 100000\n1249 1879\n4804 7233\n60009 90040\n21228 31825\n32391 48572\n9162 13784\n88369 100000\n56803 85204\n94818 100000\n34813 52219\n21914 32885\n75625 100000\n31310 46940\n27795 41664\n87377 100000\n42097 63099\n12238 18424\n48151 72206\n19778 29655\n66317 99476\n35042 52554\n55602 83385\n28846 43246\n48098 72128\n19589 29373\n82136 100000\n86183 100000\n28466 42673\n17609 26418\n2692 4047\n13410 20151\n21662 32491\n33836 50746\n33356 50026\n29063 43571\n40288 60374\n65050 97581\n30651 45943\n7591 11439\n71483 100000\n50972 76477\n72125 100000\n11271 16973\n90349 100000\n25364 38023\n73853 100000\n17404 26110\n69173 100000\n83864 100000\n76431 100000\n45448 68102\n18301 27424\n87181 100000\n89201 100000\n41779 62621\n41117 61632\n92976 100000\n75176 100000\n42964 64372\n7180 10822\n77955 100000\n93821 100000\n16371 24573\n22411 33639\n64588 96895\n64536 96821\n9272 13948\n27567 41326\n13271 19945\n6161 9302\n54796 82167\n33217 49827\n37324 55960\n25891 38823\n34871 52301\n66756 100000\n66490 99736\n5066 7640\n54102 81164\n41761 62595\n95555 100000\n7144 10774\n81378 100000\n59298 88960\n38657 57924\n67298 100000\n3415 5133\n64054 96104\n52075 78119\n87643 100000\n13996 21008\n34740 52110\n69709 100000\n93424 100000\n25149 37707\n64224 96350\n48644 72958\n3150 4738\n70190 100000\n89951 100000\n86255 100000\n46434 69625\n99062 100000\n36789 55175\n56454 84669\n16972 25456\n50234 75339\n61632 92462\n12106 18218\n98193 100000\n28443 42637\n69845 100000\n78675 100000\n17707 26563\n71558 100000\n72221 100000\n5798 8744\n52147 78230\n33344 50009\n94429 100000\n72410 100000\n96092 100000\n56125 84169\n79712 100000\n74660 100000\n64649 96987\n46233 69312\n703 1045\n80376 100000\n99610 100000\n64416 96642\n58074 87127\n14201 21313\n89013 100000\n12410 18673\n84985 100000\n67779 100000\n58488 87739\n52760 79136\n3166 4759\n19910 29856\n76700 100000\n71107 100000\n55244 82840\n16052 24087\n39055 58511\n51170 76775\n1743 2617\n66409 99614\n24104 36147\n70734 100000\n75777 100000\n32370 48541\n46497 69719\n10786 16245\n30238 45318\n35980 53957\n90200 100000\n63968 95977\n59911 89888\n2566 3858\n50441 75652\n11029 16610\n85613 100000\n72865 100000\n74229 100000\n12732 19164\n27331 40963\n61609 92432\n33383 50069\n68847 100000\n93147 100000\n294 429\n83503 100000\n77963 100000\n51854 77782\n75269 100000\n87650 100000\n14308 21476\n68000 100000\n53517 80280\n98980 100000\n69128 100000\n33957 50920\n45240 67791\n88767 100000\n61767 92669\n86574 100000\n13394 20126\n72212 100000\n12025 18100\n12414 18680\n59864 89818\n99642 100000\n54687 82010\n30489 45701\n48325 72468\n21102 31635\n62621 93948\n89945 100000\n44680 66961\n66767 100000\n91593 100000\n8631 12998\n57479 86234\n99994 100000\n82833 100000\n44196 66225\n46724 70063\n4569 6873\n39695 59470\n68973 100000\n1316 1979\n60601 90919\n37444 56131\n37571 56323\n79216 100000\n96946 100000\n32497 48740\n17844 26768\n93552 100000\n2600 3906\n32081 48110\n22378 33586\n62907 94386\n92177 100000\n33586 50372\n4646 6992\n21072 31590\n69555 100000\n21574 32345\n34081 51112\n33061 49598\n41149 61676\n93311 100000\n84670 100000\n30331 45454\n45190 67719\n25794 38677\n76611 100000\n92092 100000\n51020 76552\n5125 7729\n94137 100000\n21097 31629\n89588 100000\n62989 94516\n37565 56313\n91873 100000\n34139 51194\n70069 100000\n21125 31672\n49213 73798\n61706 92577\n51966 77950\n72944 100000\n65742 98608\n56685 85024\n65082 97628\n8034 12099\n91070 100000\n88351 100000\n77369 100000\n42858 64214\n7736 11665\n1065 1600\n12773 19220\n21641 32458\n1494 2250\n86774 100000\n68717 100000\n79483 100000\n65650 98475\n15019 22533\n48548 72809\n59403 89118\n17302 25961\n68583 100000\n79954 100000\n37944 56863\n47860 71775\n4385 6595\n95351 100000\n68533 100000\n26236 39345\n5576 8413\n34042 51054\n32645 48960\n73812 100000\n32340 48497\n24578 36846\n25147 37704\n96127 100000\n45637 68399\n5480 8268\n83178 100000\n60871 91321\n68359 100000\n30123 45155\n18759 28125\n63204 94845\n17967 26939\n13716 20595\n73071 100000\n49624 74437\n2909 4372\n86682 100000\n72029 100000\n69135 100000\n24234 36341\n99608 100000\n94793 100000\n92738 100000\n50029 75034\n23528 35296\n56885 85329\n5914 8928\n37392 56061\n99026 100000\n44940 67339\n64616 96937\n45973 68914\n739 1107\n97156 100000\n59965 89973\n45875 68757\n70940 100000\n10672 16074\n82961 100000\n45613 68360\n89032 100000\n63963 95970\n74112 100000\n73489 100000\n62786 94196\n99404 100000\n46549 69801\n6060 9154\n73106 100000\n79485 100000\n62361 93557\n84045 100000\n8418 12675\n66354 99532\n14282 21434\n52225 78346\n36355 54519\n61849 92791\n97307 100000\n60933 91417\n4490 6756\n57808 86718\n30389 45537\n41581 62321\n9628 14482\n58068 87117\n77817 100000\n25815 38712\n34606 51907\n3611 5424\n90487 100000\n12525 18848\n66190 99281\n34754 52130\n49468 74188\n85397 100000\n40592 60825\n64216 96338\n45657 68433\n36666 54986\n63676 95532\n90433 100000\n24276 36402\n41114 61628\n27839 41737\n43410 65044\n66425 99636\n72150 100000\n73015 100000\n11736 17661\n39599 59324\n55669 83487\n26066 39090\n67555 100000\n2929 4405\n57122 85693\n63919 95904\n95634 100000\n45990 68938\n34430 51635\n31068 46575\n21572 32343\n89138 100000\n57914 86882\n76492 100000\n5761 8687\n2308 3468\n66733 100000\n27045 40538\n47104 70631\n18867 28280\n65700 98550\n65614 98423\n6014 9084\n20271 30402\n20507 30751\n39235 58783\n93851 100000\n15290 22949\n80833 100000\n27202 40773\n47967 71931\n24874 37291\n59374 89078\n56344 84505\n72371 100000\n72302 100000\n98548 100000\n24613 36896\n34159 51226\n31670 47480\n46115 69129\n37969 56901\n29397 44075\n3475 5226\n31378 47042\n61010 91534\n30408 45565\n70494 100000\n3607 5417\n92223 100000\n50650 75965\n22920 34392\n63627 95459\n73062 100000\n57207 85821\n61636 92468\n71932 100000\n62314 93483\n23910 35862\n57155 85740\n8206 12353\n39921 59821\n99038 100000\n2936 4416\n80257 100000\n73736 100000\n32470 48697\n95697 100000\n90199 100000\n40202 60242\n24848 37252\n26645 39948\n11729 17650\n2889 4341\n94460 100000\n76180 100000\n96729 100000\n66397 99597\n55682 83505\n68949 100000\n84600 100000\n96020 100000\n18403 27579\n46079 69078\n33400 50096\n17888 26834\n61389 92104\n38959 58371\n37227 55810\n93687 100000\n68464 100000\n5429 8194\n76706 100000\n5211 7862\n96090 100000\n43794 65618\n91096 100000\n49918 74864\n71419 100000\n17230 25847\n77093 100000\n79054 100000\n52655 78984\n94436 100000\n93973 100000\n50282 75412\n49410 74101\n61079 91638\n73439 100000\n79921 100000\n15811 23721\n66680 100000\n7107 10713\n85127 100000\n79056 100000\n42379 63523\n24250 36363\n2647 3977\n42466 63654\n84494 100000\n49514 74261\n88969 100000\n19095 28634\n46796 70177\n80245 100000\n26695 40026\n39906 59795\n14540 21824\n27300 40917\n74213 100000\n83593 100000\n96430 100000\n77286 100000\n89684 100000\n24045 36064\n9856 14833\n57871 86813\n30239 45320\n51806 77713\n5898 8905\n77918 100000\n15319 22989\n32133 48183\n46414 69597\n29541 44295\n31270 46877\n40581 60808\n8715 13119\n38934 58334\n85521 100000\n35668 53489\n79626 100000\n94882 100000\n95355 100000\n79130 100000\n19710 29557\n56429 84630\n28803 43176\n44415 66558\n1953 2923\n32535 48799\n80884 100000\n33951 50910\n16076 24124\n37274 55887\n64354 96551\n26278 39408\n9034 13596\n94646 100000\n48968 73436\n35823 53718\n77334 100000\n89052 100000\n81399 100000\n20016 30022\n36606 54901\n39439 59081\n749 1121\n2738 4113\n80988 100000\n66406 99611\n33077 49620\n6071 9168\n8112 12216\n9540 14351\n34539 51807\n46382 69550\n28470 42679\n66239 99349\n12680 19084\n99056 100000\n702 1044\n17699 26552\n13308 19997\n577 866\n25485 38206\n45727 68541\n92213 100000\n92026 100000\n44112 66101\n27559 41314\n77340 100000\n37546 56284\n76192 100000\n47110 70642\n58289 87452\n40773 61101\n24807 37192\n35319 52964\n85406 100000\n92292 100000\n41523 62237\n66527 99793\n63227 94873\n81105 100000\n18530 27769\n19403 29089\n36655 54971\n65322 97978\n79418 100000\n863 1296\n28942 43389\n19496 29229\n8713 13117\n33606 50402\n24035 36047\n62349 93540\n98521 100000\n17063 25601\n48896 73332\n89142 100000\n3685 5532\n2805 4216\n40799 61143\n46377 69541\n76164 100000\n18501 27725\n86583 100000\n13790 20702\n82366 100000\n48005 71987\n13122 19731\n88578 100000\n21816 32734\n73267 100000\n80730 100000\n73602 100000\n88614 100000\n11640 17520\n6032 9112\n50606 75900\n3906 5866\n82644 100000\n14336 21523\n66155 99231\n21212 31804\n2473 3712\n71876 100000\n54812 82190\n20748 31112\n99323 100000\n53516 80278\n10231 15415\n25902 38839\n32163 48229\n85550 100000\n61574 92383\n84240 100000\n23125 34696\n35515 53261\n36464 54686\n17477 26222\n55452 83165\n29719 44560\n94708 100000\n64261 96409\n36502 54745\n58836 88258\n69950 100000\n24193 36282\n47103 70630\n67403 100000\n68764 100000\n92313 100000\n46924 70369\n67988 100000\n9307 14002\n61118 91697\n11462 17259\n35673 53497\n79609 100000\n15266 22914\n12325 18551\n10013 15084\n17506 26264\n79346 100000\n1134 1710\n51421 77145\n46822 70215\n9924 14942\n75861 100000\n33862 50786\n68630 100000\n39422 59058\n97904 100000\n2540 3818\n42484 63679\n60311 90487\n74954 100000\n85625 100000\n98062 100000\n98798 100000\n10394 15657\n43147 64648\n58556 87840\n28967 43425\n24605 36884\n69926 100000\n37866 56751\n83441 100000\n1178 1777\n70437 100000\n58024 87051\n92112 100000\n72582 100000\n96357 100000\n82296 100000\n32179 48255\n83499 100000\n28186 42253\n89912 100000\n92462 100000\n48880 73305\n47769 71641\n1395 2098\n74574 100000\n18097 27129\n70430 100000\n78506 100000\n53186 79788\n2213 3317\n58685 88032\n31525 47262\n63727 95608\n27441 41127\n50090 75122\n87833 100000\n46238 69321\n23933 35900\n3940 5917\n10381 15639\n27790 41656\n581 873\n44215 66249\n63537 95329\n67070 100000\n87613 100000\n88674 100000\n35075 52601\n5569 8402\n44875 67247\n8406 12654\n76510 100000\n12255 18452\n45472 68137\n23789 35684\n49761 74636\n72911 100000\n29100 43624\n50954 76448\n81 125\n31289 46906\n26534 39781\n90932 100000\n96707 100000\n35057 52577\n56667 85001\n82993 100000\n81594 100000\n47621 71421\n16653 24986\n30573 45830\n57851 86784\n1070 1606\n38984 58409\n48000 71978\n47417 71105\n45098 67578\n93566 100000\n571 858\n46023 68989\n11209 16880\n7249 10927\n61995 93007\n87652 100000\n80908 100000\n35018 52519\n52608 78919\n61771 92673\n72859 100000\n80824 100000\n14315 21488\n97832 100000\n19264 28884\n64140 96228\n70714 100000\n99765 100000\n89538 100000\n57309 85978\n90020 100000\n25889 38820\n94157 100000\n63070 94640\n16919 25370\n580 872\n21944 32930\n5535 8348\n26827 40212\n31209 46784\n74040 100000\n30505 45723\n74450 100000\n31293 46911\n98331 100000\n62706 94072\n3547 5324\n42172 63211\n60737 91117\n85085 100000\n64841 97267\n70967 100000\n98525 100000\n20805 31189\n47843 71753\n61894 92860\n85772 100000\n31346 46991\n27684 41500\n59549 89341\n69314 100000\n87616 100000\n51380 77091\n16904 25349\n81903 100000\n49111 73642\n62354 93547\n94870 100000\n12928 19433\n35872 53795\n71821 100000\n52635 78958\n53380 80065\n45088 67563\n14241 21368\n53884 80835\n97847 100000\n70844 100000\n29986 44957\n66008 99009\n446 662\n99850 100000\n2250 3377\n11860 17843\n45097 67577\n20147 30215\n57554 86346\n81695 100000\n50922 76398\n42741 64042\n96609 100000\n45149 67658\n49333 73984\n49858 74776\n73463 100000\n44484 66663\n2271 3410\n52832 79245\n19728 29587\n25415 38103\n88586 100000\n1892 2833\n79599 100000\n36565 54840\n53217 79835\n12009 18073\n14366 21564\n92987 100000\n50336 75490\n2065 3095\n37600 56360\n30556 45804\n72345 100000\n95492 100000\n41354 61971\n64214 96335\n14975 22469\n89927 100000\n93320 100000\n23804 35706\n48688 73024\n53588 80396\n92370 100000\n77513 100000\n14821 22240\n1709 2567\n88931 100000\n21318 31957\n18854 28264\n19191 28780\n36289 54421\n92041 100000\n21465 32185\n23426 35141\n49235 73832\n33888 50820\n20936 31384\n75453 100000\n26165 39242\n83719 100000\n11827 17791\n94767 100000\n20298 30442\n49421 74119\n10363 15610\n31956 47912\n16943 25409\n12812 19278\n3190 4792\n59112 88675\n4786 7209\n63599 95417\n52055 78088\n98049 100000\n79563 100000\n99445 100000\n73972 100000\n99198 100000\n9810 14765\n97725 100000\n51578 77380\n55345 82997\n74627 100000\n15058 22591\n54759 82117\n51540 77319\n75781 100000\n65399 98098\n91212 100000\n33760 50632\n30237 45316\n18975 28451\n5414 8169\n24633 36926\n89339 100000\n5605 8453\n611 917\n44279 66351\n27349 40991\n5090 7676\n64634 96964\n52839 79258\n24593 36867\n61231 91867\n86257 100000\n94095 100000\n92765 100000\n11779 17716\n20951 31410\n97681 100000\n84979 100000\n36374 54548\n34973 52456\n94103 100000\n86628 100000\n10666 16063\n55804 83691\n59224 88845\n58558 87844\n22445 33695\n25475 38190\n98344 100000\n1029 1547\n92982 100000\n72549 100000\n67184 100000\n68128 100000\n9246 13909\n46546 69796\n56415 84609\n50366 75538\n17211 25819\n80916 100000\n45290 67868\n91080 100000\n63631 95465\n83675 100000\n7928 11950\n24046 36065\n72581 100000\n168 252\n31885 47809\n40214 60260\n15861 23790\n18105 27140\n76042 100000\n61804 92720\n93730 100000\n85767 100000\n39861 59731\n47821 71721\n74148 100000\n31279 46890\n85276 100000\n47556 71323\n90749 100000\n97957 100000\n76740 100000\n56457 84674\n88760 100000\n34863 52290\n32243 48350\n44199 66230\n54552 81815\n68289 100000\n94828 100000\n11151 16790\n30784 46149\n66799 100000\n8792 13232\n92156 100000\n3011 4527\n21033 31530\n78398 100000\n53938 80916\n33094 49648\n55600 83383\n20653 30975\n29972 44936\n77267 100000\n84352 100000\n50055 75072\n76766 100000\n50669 75997\n28690 43007\n10140 15280\n89880 100000\n95496 100000\n70359 100000\n71157 100000\n43818 65654\n9947 14982\n16809 25209\n99417 100000\n43456 65114\n4684 7055\n53303 79957\n7454 11235\n16257 24394\n77417 100000\n72572 100000\n43657 65415\n69247 100000\n51679 77533\n64803 97210\n41685 62481\n78620 100000\n70480 100000\n78900 100000\n4776 7194\n78576 100000\n94822 100000\n22213 33349\n24469 36686\n75427 100000\n70214 100000\n30775 46134\n40054 60021\n54257 81392\n5109 7707\n35503 53242\n54108 81174\n71142 100000\n33044 49570\n89966 100000\n57424 86150\n71330 100000\n74366 100000\n19750 29619\n75871 100000\n20155 30229\n69157 100000\n58212 87335\n17700 26553\n52736 79104\n79565 100000\n26490 39719\n14180 21279\n50957 76454\n90357 100000\n10441 15724\n62974 94492\n27698 41523\n2178 3263\n72971 100000\n83540 100000\n44390 66515\n17962 26932\n83775 100000\n26138 39205\n62010 93032\n99340 100000\n68797 100000\n39343 58939\n27413 41083\n78517 100000\n21164 31729\n83154 100000\n90593 100000\n61571 92379\n68516 100000\n57996 87009\n56826 85239\n65641 98463\n7771 11714\n39277 58838\n96151 100000\n93233 100000\n86790 100000\n89933 100000\n8639 13009\n8589 12936\n45256 67815\n71776 100000\n78278 100000\n24236 36344\n82412 100000\n48667 72990\n33788 50673\n3094 4649\n57069 85610\n75866 100000\n3479 5231\n25044 37554\n65959 98929\n84222 100000\n59383 89090\n98377 100000\n74500 100000\n59746 89645\n41647 62427\n83337 100000\n4740 7139\n60549 90848\n70212 100000\n30425 45589\n66496 99746\n95365 100000\n5738 8651\n99631 100000\n10431 15710\n42485 63680\n15085 22634\n13426 20177\n68193 100000\n66629 99944\n71474 100000\n33672 50504\n73247 100000\n53019 79528\n83216 100000\n6414 9687\n2094 3140\n55716 83556\n6350 9596\n96915 100000\n44225 66263\n1464 2205\n26500 39732\n7972 12014\n66561 99846\n40339 60449\n62245 93380\n50645 75956\n65440 98160\n30424 45588\n52265 78406\n98602 100000\n74610 100000\n48440 72639\n26281 39412\n59167 88755\n54472 81702\n19771 29648\n53276 79917\n17522 26287\n41996 62952\n93393 100000\n56788 85182\n46667 69970\n3165 4758\n42329 63447\n71152 100000\n43460 65121\n28244 42342\n69608 100000\n83634 100000\n13515 20294\n27666 41474\n23371 35068\n53250 79883\n17496 26250\n60052 90104\n74682 100000\n65405 98109\n80823 100000\n292 426\n21013 31500\n69666 100000\n56166 84236\n19352 29015\n68594 100000\n41107 61617\n64319 96497\n18414 27596\n86129 100000\n78802 100000\n22612 33928\n11861 17845\n71090 100000\n3771 5656\n31053 46552\n55282 82902\n79984 100000\n71730 100000\n79305 100000\n91930 100000\n58274 87428\n70166 100000\n84318 100000\n52080 78127\n44607 66852\n6217 9387\n87309 100000\n18405 27582\n73480 100000\n94177 100000\n65060 97594\n27850 41753\n30473 45673\n31062 46566\n19871 29797\n48301 72433\n53327 79989\n3478 5230\n85005 100000\n76276 100000\n49441 74148\n77604 100000\n52548 78828\n44256 66312\n95822 100000\n36437 54642\n89331 100000\n56873 85312\n17266 25901\n56215 84312\n49436 74141\n89501 100000\n97629 100000\n75514 100000\n86385 100000\n35613 53407\n29944 44896\n53762 80659\n39916 59812\n15144 22727\n82804 100000\n55354 83011\n2790 4193\n2254 3383\n42900 64274\n1537 2314\n46113 69126\n51816 77727\n7910 11924\n16180 24280\n39399 59023\n83253 100000\n50077 75103\n55439 83143\n35083 52613\n80531 100000\n40768 61093\n68824 100000\n44161 66171\n51645 77481\n30003 44984\n81590 100000\n4524 6801\n46401 69576\n46932 70382\n72296 100000\n44855 67216\n19003 28492\n67760 100000\n63633 95467\n7416 11175\n36465 54688\n45135 67636\n41682 62475\n48658 72979\n9108 13700\n63656 95502\n43447 65100\n90548 100000\n65434 98150\n84738 100000\n83782 100000\n56902 85354\n92739 100000\n55725 83569\n65686 98531\n56219 84318\n24971 37437\n54542 81800\n59774 89688\n81181 100000\n85512 100000\n85102 100000\n88307 100000\n76429 100000\n70019 100000\n69219 100000\n28825 43211\n24748 37101\n84827 100000\n79507 100000\n63807 95734\n52326 78496\n48713 73060\n64963 97453\n91222 100000\n97218 100000\n8618 12981\n44841 67191\n72745 100000\n96157 100000\n54083 81140\n32654 48975\n15844 23767\n6912 10434\n39409 59037\n39598 59323\n39668 59431\n31598 47371\n96187 100000\n20454 30666\n59505 89275\n71957 100000\n82153 100000\n16837 25250\n18024 27025\n95284 100000\n33567 50345\n92741 100000\n89483 100000\n20798 31181\n48401 72580\n28243 42340\n26328 39479\n99308 100000\n35725 53570\n53072 79610\n87199 100000\n16897 25340\n16421 24648\n72054 100000\n54230 81351\n88839 100000\n96141 100000\n12091 18197\n29292 43919\n80522 100000\n27989 41968\n43977 65893\n92892 100000\n49060 73574\n5226 7882\n35473 53196\n76284 100000\n96228 100000\n40398 60537\n42005 62963\n13771 20673\n20695 31031\n92421 100000\n33680 50514\n19695 29532\n58031 87063\n89172 100000\n6980 10534\n48023 72014\n55851 83760\n95609 100000\n52975 79458\n95298 100000\n44447 66609\n6198 9355\n35266 52890\n70703 100000\n96300 100000\n40294 60384\n70773 100000\n26808 40185\n21501 32239\n6797 10265\n96970 100000\n37661 56449\n54123 81194\n17653 26482\n18401 27576\n38122 57126\n9259 13928\n99229 100000\n84384 100000\n92409 100000\n45436 68085\n52829 79241\n3603 5411\n36357 54522\n24783 37154\n25660 38473\n91706 100000\n39108 58586\n88896 100000\n45601 68338\n61179 91789\n99748 100000\n46317 69445\n99172 100000\n65931 98885\n5074 7651\n58350 87542\n55978 83952\n18375 27536\n89728 100000\n91185 100000\n19838 29744\n7061 10648\n24454 36666\n57603 86419\n16691 25044\n44481 66660\n87573 100000\n13982 20987\n96263 100000\n60472 90727\n67485 100000\n48391 72565\n5186 7824\n88374 100000\n37745 56570\n54389 81585\n41378 62008\n2402 3607\n61504 92278\n30574 45831\n50056 75073\n86797 100000\n2624 3940\n49647 74470\n96979 100000\n75165 100000\n95379 100000\n23070 34616\n89540 100000\n98865 100000\n30484 45694\n77684 100000\n24556 36814\n35159 52729\n42258 63340\n66740 100000\n83816 100000\n94538 100000\n91460 100000\n92433 100000\n81113 100000\n52154 78241\n10537 15863\n17018 25528\n25048 37561\n24302 36440\n30703 46022\n3432 5161\n63744 95635\n91218 100000\n10790 16251\n92677 100000\n54948 82393\n98104 100000\n60876 91330\n82059 100000\n12838 19313\n13015 19567\n59656 89507\n93832 100000\n61532 92320\n69008 100000\n70730 100000\n46510 69739\n63346 95041\n26234 39342\n92030 100000\n17977 26953\n59448 89185\n31358 47010\n19857 29772\n53480 80226\n36914 55358\n69610 100000\n59169 88757\n46897 70329\n49476 74201\n42072 63062\n6268 9466\n32790 49181\n70540 100000\n68962 100000\n48070 72088\n44882 67254\n50709 76065\n56775 85160\n71181 100000\n60437 90675\n22587 33895\n18808 28193\n63305 94983\n59961 89966\n20781 31158\n43941 65839\n69226 100000\n72613 100000\n55454 83167\n1942 2903\n14632 21959\n39449 59095\n19724 29581\n27191 40756\n26518 39757\n51699 77561\n30418 45580\n67832 100000\n18830 28226\n55108 82635\n31582 47346\n71779 100000\n7074 10667\n84987 100000\n89109 100000\n65567 98349\n74281 100000\n75183 100000\n43843 65694\n20293 30433\n65075 97617\n27891 41816\n53065 79596\n41473 62156\n73445 100000\n20508 30753\n33895 50829\n39958 59878\n41359 61981\n10625 16003\n44788 67115\n99448 100000\n72927 100000\n95380 100000\n35028 52532\n23192 34793\n77838 100000\n60658 91002\n30751 46099\n20315 30460\n27081 40589\n56115 84155\n29014 43498\n9118 13716\n71471 100000\n7794 11749\n93202 100000\n78181 100000\n59194 88796\n2022 3026\n34179 51254\n71933 100000\n45826 68682\n92274 100000\n50911 76381\n62996 94526\n60710 91084\n33460 50191\n46910 70348\n41010 61469\n1431 2155\n59626 89462\n18112 27148\n88457 100000\n51859 77790\n65319 97973\n61144 91739\n6902 10418\n61130 91716\n12740 19174\n50256 75371\n37868 56754\n84250 100000\n45343 67944\n85336 100000\n58698 88050\n17206 25814\n3215 4830\n43873 65737\n87884 100000\n12014 18080\n28296 42418\n86949 100000\n36202 54284\n26193 39279\n81684 100000\n83815 100000\n32368 48537\n36283 54410\n51705 77571\n84862 100000\n50156 75220\n12464 18757\n46036 69010\n66176 99262\n73131 100000\n11394 17155\n69551 100000\n69004 100000\n28013 42007\n90281 100000\n82637 100000\n98781 100000\n7985 12033\n73213 100000\n29942 44894\n36880 55308\n93668 100000\n18835 28233\n75063 100000\n92788 100000\n78890 100000\n65659 98489\n99880 100000\n79847 100000\n52058 78093\n47530 71280\n55157 82712\n44472 66645\n6452 9743\n20154 30227\n22608 33923\n42233 63300\n94812 100000\n28294 42416\n74804 100000\n69388 100000\n92821 100000\n98642 100000\n39572 59282\n40275 60354\n1367 2058\n61747 92639\n26102 39150\n24370 36537\n96273 100000\n19135 28695\n37934 56848\n93053 100000\n190 282\n26536 39783\n29698 44528\n44399 66530\n54046 81081\n96942 100000\n1826 2734\n78925 100000\n50170 75244\n30300 45409\n62977 94498\n8196 12337\n47167 70728\n59712 89591\n5200 7846\n85070 100000\n27704 41531\n54244 81372\n6552 9896\n51212 76842\n81584 100000\n31627 47418\n38204 57252\n24989 37464\n86303 100000\n48075 72095\n35430 53134\n59568 89373\n29787 44664\n33478 50221\n48944 73401\n91570 100000\n11822 17781\n92473 100000\n74847 100000\n99237 100000\n35225 52829\n28451 42649\n51768 77658\n68350 100000\n36820 55221\n25477 38193\n12789 19244\n46840 70244\n54636 81934\n24731 37079\n23199 34807\n81414 100000\n4878 7351\n39627 59366\n92722 100000\n58880 88318\n28109 42142\n75524 100000\n75892 100000\n28039 42050\n1859 2781\n15311 22978\n11 16\n64271 96421\n53663 80509\n32634 48945\n16523 24795\n79962 100000\n67071 100000\n97784 100000\n62898 94373\n52850 79272\n13055 19633\n15001 22508\n37481 56186\n20226 30337\n37606 56368\n38185 57222\n60287 90450\n29488 44213\n44595 66836\n42369 63509\n87853 100000\n47746 71607\n92118 100000\n88862 100000\n37256 55856\n71499 100000\n9795 14740\n63924 95912\n93909 100000\n38418 57575\n88874 100000\n97514 100000\n12630 19005\n98664 100000\n16547 24829\n4374 6576\n90324 100000\n54578 81851\n67440 100000\n52263 78404\n39924 59825\n19152 28719\n61230 91866\n76381 100000\n39246 58797\n91181 100000\n20557 30831\n11390 17150\n80583 100000\n51162 76763\n82043 100000\n38388 57530\n74193 100000\n96096 100000\n81314 100000\n54501 81745\n37166 55720\n43424 65066\n82392 100000\n99371 100000\n53078 79622\n38676 57951\n4106 6165\n28137 42181\n86296 100000\n66022 99029\n88553 100000\n80843 100000\n15503 23264\n58428 87653\n11509 17326\n26520 39761\n4025 6041\n36620 54922\n36239 54339\n46196 69251\n30792 46162\n97848 100000\n7713 11628\n50848 76281\n23686 35535\n30371 45511\n45719 68529\n59897 89868\n19963 29936\n39356 58959\n42181 63224\n77105 100000\n62168 93266\n8256 12424\n59109 88670\n40846 61213\n13405 20144\n28653 42952\n21282 31904\n74908 100000\n50479 75710\n17046 25574\n70046 100000\n99148 100000\n46784 70157\n15167 22758\n20440 30643\n67273 100000\n57367 86068\n36443 54652\n11183 16840\n9611 14456\n47699 71539\n60971 91476\n98959 100000\n6954 10494\n17109 25666\n97654 100000\n5117 7719\n8178 12313\n47294 70921\n60277 90438\n54924 82360\n83777 100000\n29472 44189\n97061 100000\n89083 100000\n38308 57409\n16134 24206\n22987 34494\n79186 100000\n57461 86206\n1293 1944\n60206 90337\n94091 100000\n18731 28085\n31336 46976\n80501 100000\n18076 27099\n45955 68883\n61441 92184\n94104 100000\n72651 100000\n31527 47265\n88879 100000\n43891 65766\n62935 94430\n44463 66633\n97057 100000\n8672 13056\n69772 100000\n33869 50793\n97482 100000\n27153 40703\n96203 100000\n61604 92424\n52053 78086\n78896 100000\n92088 100000\n66282 99422\n68835 100000\n56045 84052\n66230 99337\n53338 80004\n27198 40766\n86054 100000\n31731 47577\n63879 95841\n38001 56953\n47591 71372\n63229 94875\n94956 100000\n99941 100000\n67176 100000\n54304 81465\n28527 42766\n72258 100000\n51723 77595\n85812 100000\n80384 100000\n88399 100000\n1909 2857\n19879 29810\n6308 9532\n34074 51099\n4523 6800\n90677 100000\n35654 53467\n26739 40085\n30447 45630\n82457 100000\n16540 24818\n31246 46841\n7778 11724\n98809 100000\n78882 100000\n67379 100000\n4556 6854\n79202 100000\n3006 4517\n32 47\n44207 66239\n67921 100000\n72279 100000\n94156 100000\n30672 45979\n34774 52162\n65749 98621\n82186 100000\n65320 97974\n52806 79208\n27969 41936\n7915 11931\n56192 84280\n91255 100000\n52601 78909\n9010 13557\n35771 53642\n51197 76817\n22929 34406\n85538 100000\n53094 79647\n45286 67860\n30091 45109\n77198 100000\n80193 100000\n10256 15451\n56050 84062\n50018 75018\n30318 45434\n80510 100000\n71952 100000\n48647 72963\n14075 21122\n51099 76669\n37532 56260\n70090 100000\n89312 100000\n72181 100000\n92437 100000\n63946 95942\n35318 52962\n2160 3240\n93482 100000\n29009 43491\n99080 100000\n18677 27998\n14295 21457\n68432 100000\n10225 15406\n75738 100000\n89974 100000\n32596 48888\n53853 80791\n37009 55492\n11035 16620\n64323 96503\n12075 18176\n45005 67434\n97110 100000\n25842 38752\n79 121\n81059 100000\n61024 91555\n76056 100000\n85373 100000\n97033 100000\n50937 76421\n26367 39539\n30963 46421\n5229 7887\n8794 13234\n83462 100000\n18182 27250\n77647 100000\n69289 100000\n3295 4955\n4373 6575\n63077 94650\n89079 100000\n22364 33565\n16477 24729\n10986 16545\n85485 100000\n77366 100000\n93308 100000\n77786 100000\n42309 63417\n25421 38112\n48230 72328\n99322 100000\n91586 100000\n85676 100000\n73336 100000\n75249 100000\n88270 100000\n86119 100000\n93251 100000\n70842 100000\n13094 19690\n46576 69837\n12828 19300\n76801 100000\n9455 14225\n41917 62830\n74197 100000\n22655 33992\n82806 100000\n19729 29588\n28998 43472\n93969 100000\n59762 89669\n62007 93027\n39895 59780\n43034 64479\n51441 77174\n88331 100000\n89545 100000\n75842 100000\n35007 52504\n88860 100000\n92593 100000\n81521 100000\n36316 54465\n54039 81069\n2135 3202\n40333 60438\n73739 100000\n22168 33275\n70944 100000\n49978 74958\n17249 25877\n4881 7356\n83096 100000\n29903 44832\n63169 94796\n63426 95165\n98116 100000\n52312 78474\n96938 100000\n29671 44486\n21143 31697\n19507 29245\n77025 100000\n36791 55178\n80815 100000\n70466 100000\n97584 100000\n85220 100000\n81439 100000\n21874 32825\n27388 41047\n4487 6752\n90890 100000\n48858 73272\n28472 42683\n45817 68671\n58719 88083\n61237 91875\n43429 65074\n94445 100000\n2137 3204\n57395 86110\n72227 100000\n83095 100000\n91990 100000\n3921 5890\n21349 32006\n13672 20526\n31938 47883\n78649 100000\n63397 95120\n92021 100000\n15782 23680\n87210 100000\n13064 19645\n46154 69189\n66590 99887\n51760 77645\n7636 11508\n73157 100000\n85177 100000\n23882 35816\n35901 53834\n10723 16154\n91009 100000\n3731 5599\n31208 46783\n26379 39557\n36148 54208\n59980 89993\n50295 75431\n97933 100000\n68220 100000\n15191 22798\n58087 87147\n97686 100000\n24912 37348\n13490 20262\n10569 15913\n31847 47752\n75675 100000\n25981 38962\n76520 100000\n37185 55749\n60716 91093\n58531 87805\n74405 100000\n52243 78373\n59007 88513\n13830 20766\n89968 100000\n60392 90604\n875 1313\n5194 7838\n22408 33634\n62449 93686\n68468 100000\n20287 30424\n16939 25401\n12635 19013\n66683 100000\n54817 82198\n80684 100000\n35687 53515\n78905 100000\n24995 37474\n99024 100000\n6343 9585\n6068 9164\n16600 24906\n35568 53338\n16823 25230\n21079 31601\n71850 100000\n91213 100000\n30227 45302\n19988 29978\n78662 100000\n39789 59619\n69942 100000\n48553 72818\n95569 100000\n20926 31368\n36762 55131\n44966 67378\n55216 82790\n39838 59694\n68704 100000\n73629 100000\n88716 100000\n85774 100000\n60986 91498\n8783 13218\n78944 100000\n20144 30211\n53727 80602\n92802 100000\n29071 43582\n6232 9411\n61589 92405\n32157 48220\n94807 100000\n19100 28643\n35803 53688\n76902 100000\n68009 100000\n79538 100000\n4019 6031\n6855 10350\n20027 30037\n44171 66187\n89747 100000\n85721 100000\n12731 19162\n62066 93113\n3728 5593\n12039 18121\n82086 100000\n66346 99520\n83645 100000\n55285 82906\n14739 22116\n53917 80888\n29335 43981\n82906 100000\n86319 100000\n46544 69793\n46883 70307\n88453 100000\n7705 11614\n24429 36627\n88626 100000\n26059 39080\n58504 87762\n9602 14442\n42059 63042\n79383 100000\n80134 100000\n38560 57788\n45054 67509\n28552 42802\n85795 100000\n95674 100000\n58048 87088\n6235 9416\n95038 100000\n39859 59728\n97615 100000\n77007 100000\n70279 100000\n7829 11801\n30791 46160\n34702 52058\n50413 75611\n58103 87173\n61979 92987\n25024 37520\n6558 9906\n12815 19282\n18877 28296\n92862 100000\n46877 70298\n21869 32817\n76856 100000\n61056 91602\n70062 100000\n30312 45427\n60440 90680\n30768 46123\n87916 100000\n53758 80653\n8912 13410\n74730 100000\n79298 100000\n4979 7509\n59263 88904\n38589 57832\n4968 7492\n24792 37169\n53981 80979\n36984 55460\n93232 100000\n47177 70744\n86925 100000\n82658 100000\n42490 63686\n60324 90505\n73436 100000\n63292 94966\n82585 100000\n32995 49493\n37433 56118\n62095 93157\n41177 61713\n2443 3667\n76062 100000\n45112 67598\n23592 35396\n87399 100000\n96453 100000\n5959 9001\n34395 51584\n28818 43199\n77411 100000\n98133 100000\n76940 100000\n96444 100000\n42892 64261\n94908 100000\n51052 76599\n44711 67003\n91350 100000\n72648 100000\n9756 14679\n52247 78380\n40667 60935\n58766 88153\n1893 2834\n17868 26807\n66846 100000\n42940 64335\n48695 73034\n27402 41068\n3393 5098\n5217 7869\n18345 27491\n60181 90302\n78194 100000\n62133 93216\n20616 30924\n24113 36161\n39477 59138\n68069 100000\n6764 10215\n50783 76179\n8150 12272\n65586 98379\n11539 17371\n12484 18788\n9064 13639\n6722 10155\n84928 100000\n85616 100000\n16303 24469\n48437 72636\n94770 100000\n9941 14973\n66263 99391\n33102 49660\n38354 57476\n61909 92884\n14976 22471\n5101 7694\n65627 98442\n32775 49156\n10462 15752\n90456 100000\n80122 100000\n15664 23511\n74754 100000\n97375 100000\n9571 14397\n24485 36711\n86871 100000\n86328 100000\n65502 98252\n36352 54515\n93606 100000\n61052 91596\n74230 100000\n35071 52595\n45146 67652\n38443 57613\n59061 88597\n16759 25139\n8802 13245\n99428 100000\n61049 91591\n70039 100000\n72496 100000\n35023 52526\n44824 67165\n60865 91313\n25266 37877\n12479 18781\n76125 100000\n13567 20372\n7045 10627\n94286 100000\n90700 100000\n37622 56392\n20621 30932\n95101 100000\n62377 93582\n46751 70106\n2405 3612\n35292 52927\n90670 100000\n87043 100000\n62930 94421\n48156 72213\n59025 88538\n23712 35572\n42257 63338\n56704 85048\n61948 92935\n67923 100000\n76570 100000\n34012 51007\n96922 100000\n9099 13689\n76797 100000\n55262 82870\n85250 100000\n55606 83392\n70520 100000\n58124 87204\n51758 77643\n98422 100000\n14942 22417\n38835 58184\n41060 61549\n49244 73847\n69785 100000\n27759 41611\n33014 49524\n10845 16336\n82536 100000\n5495 8290\n70419 100000\n75137 100000\n86082 100000\n63332 95021\n27364 41012\n98597 100000\n23462 35196\n35880 53805\n62423 93648\n55185 82747\n22688 34040\n3911 5875\n26526 39770\n7508 11314\n3360 5049\n87767 100000\n19469 29188\n54499 81741\n63047 94603\n90444 100000\n16238 24368\n44084 66058\n55831 83730\n25708 38550\n55170 82728\n26126 39186\n70205 100000\n86172 100000\n49366 74037\n42065 63051\n33876 50802\n18449 27643\n51438 77170\n82565 100000\n35937 53891\n59296 88957\n41567 62303\n40934 61348\n88473 100000\n26787 40154\n35313 52954\n86170 100000\n3438 5172\n66592 99890\n5342 8064\n9206 13847\n13782 20689\n97367 100000\n78914 100000\n53104 79664\n73530 100000\n17495 26249\n86201 100000\n93275 100000\n6256 9447\n17676 26518\n2873 4316\n92552 100000\n62188 93293\n12940 19450\n51163 76764\n35764 53631\n72645 100000\n16771 25155\n23908 35858\n83507 100000\n10312 15531\n45921 68832\n57285 85940\n55484 83212\n1073 1610\n45911 68817\n72923 100000\n49262 73874\n45397 68029\n60306 90480\n68906 100000\n73578 100000\n73206 100000\n48992 73471\n45011 67444\n71620 100000\n80299 100000\n80186 100000\n89500 100000\n8485 12778\n86813 100000\n43030 64473\n77497 100000\n58876 88313\n68804 100000\n10095 15211\n34378 51560\n51555 77341\n83796 100000\n7169 10806\n19981 29966\n6199 9356\n69800 100000\n87553 100000\n12360 18602\n58881 88320\n64808 97217\n92606 100000\n17299 25956\n67638 100000\n68050 100000\n61461 92213\n38955 58364\n69888 100000\n64871 97315\n5127 7732\n76676 100000\n45768 68600\n70623 100000\n66259 99384\n78766 100000\n62468 93715\n92729 100000\n14651 21991\n76822 100000\n89034 100000\n62420 93644\n81321 100000\n42560 63787\n49755 74626\n91002 100000\n91174 100000\n2631 3952\n92674 100000\n1705 2563\n46926 70373\n54752 82107\n66519 99780\n29110 43639\n96778 100000\n53595 80408\n507 758\n78302 100000\n50622 75924\n33550 50318\n23960 35940\n71628 100000\n61857 92804\n23425 35140\n6676 10088\n69799 100000\n64581 96883\n68800 100000\n63525 95310\n68278 100000\n90529 100000\n51427 77154\n66644 99972\n5700 8597\n65968 98942\n27859 41768\n17555 26338\n18195 27268\n79567 100000\n11680 17575\n52418 78635\n4813 7250\n43292 64877\n12046 18132\n25876 38800\n5313 8020\n67199 100000\n91744 100000\n53264 79900\n31259 46861\n23717 35580\n72038 100000\n91568 100000\n18974 28450\n59223 88844\n79879 100000\n19285 28915\n90532 100000\n50516 75768\n95998 100000\n22000 33016\n17033 25554\n65366 98049\n70434 100000\n34940 52406\n25194 37774\n87969 100000\n33558 50331\n96987 100000\n24603 36882\n34173 51247\n52525 78789\n2618 3929\n76347 100000\n54247 81376\n97710 100000\n62766 94163\n58259 87406\n13890 20858\n27220 40799\n65225 97841\n3484 5238\n76113 100000\n81036 100000\n88612 100000\n34317 51462\n53914 80884\n55293 82921\n95128 100000\n80345 100000\n10275 15478\n40681 60957\n26735 40079\n6701 10123\n16900 25344\n16690 25042\n27654 41457\n30416 45577\n61689 92550\n28366 42521\n16727 25093\n97205 100000\n80137 100000\n84096 100000\n35781 53656\n40245 60306\n89054 100000\n30596 45864\n64953 97438\n2596 3901\n16070 24115\n89439 100000\n65699 98549\n47148 70700\n4092 6142\n83281 100000\n91295 100000\n95906 100000\n7811 11774\n42234 63301\n7056 10642\n74848 100000\n25609 38397\n43872 65736\n88180 100000\n5899 8907\n46521 69756\n35605 53395\n86945 100000\n26539 39787\n76652 100000\n24262 36380\n8640 13011\n17335 26010\n81876 100000\n33490 50234\n34500 51742\n71597 100000\n47429 71124\n88868 100000\n43075 64543\n18085 27112\n19244 28855\n43156 64659\n34872 52303\n22821 34242\n86428 100000\n48995 73476\n2172 3256\n63069 94639\n7202 10856\n64879 97326\n35923 53867\n20217 30323\n2719 4088\n4678 7046\n71610 100000\n55761 83623\n36421 54621\n35506 53247\n34617 51924\n30366 45503\n77133 100000\n36987 55464\n40160 60182\n32165 48232\n86796 100000\n66539 99809\n83431 100000\n25767 38638\n70119 100000\n9282 13963\n22600 33912\n15396 23106\n41642 62419\n64570 96869\n25923 38874\n52931 79394\n38721 58013\n98511 100000\n75936 100000\n93323 100000\n59892 89860\n50866 76309\n74931 100000\n63002 94536\n36330 54485\n67494 100000\n33172 49763\n30452 45639\n26907 40331\n38260 57337\n98786 100000\n35227 52833\n25330 37971\n38743 58044\n8983 13516\n53313 79970\n70048 100000\n61263 91911\n5468 8251\n21704 32556\n18775 28147\n63689 95550\n66017 99021\n6415 9688\n53962 80953\n96576 100000\n20929 31373\n40750 61064\n82962 100000\n66780 100000\n74745 100000\n15324 22998\n79359 100000\n7961 11999\n24604 36883\n34291 51420\n1405 2114\n57792 86698\n83729 100000\n71286 100000\n49702 74555\n15073 22615\n34295 51427\n99936 100000\n85097 100000\n66788 100000\n82759 100000\n57328 86006\n48502 72738\n60387 90597\n70300 100000\n91666 100000\n76894 100000\n23843 35758\n30019 45005\n60523 90806\n61899 92867\n73416 100000\n88398 100000\n37534 56263\n15148 22733\n86854 100000\n34455 51671\n37152 55705\n49475 74199\n95845 100000\n33310 49958\n31602 47378\n71104 100000\n25479 38196\n82199 100000\n97237 100000\n82699 100000\n10414 15685\n49056 73568\n15918 23879\n8541 12866\n52404 78612\n32060 48079\n56210 84304\n32345 48503\n9929 14951\n16595 24900\n14918 22381\n43142 64641\n60149 90252\n89181 100000\n79080 100000\n57660 86503\n63746 95639\n90839 100000\n31086 46599\n92567 100000\n30477 45681\n10858 16355\n16970 25453\n7075 10669\n13136 19748\n11950 17984\n72670 100000\n62396 93609\n74596 100000\n66719 100000\n5636 8499\n37723 56538\n96126 100000\n93895 100000\n39493 59161\n24799 37181\n92915 100000\n94035 100000\n20450 30660\n69131 100000\n93215 100000\n81955 100000\n54667 81983\n46638 69930\n35820 53714\n9889 14886\n90461 100000\n56896 85347\n66099 99151\n94941 100000\n7014 10579\n39037 58486\n89203 100000\n83476 100000\n8932 13437\n3189 4791\n28085 42108\n60689 91053\n80466 100000\n3134 4713\n21879 32834\n89655 100000\n98625 100000\n27615 41402\n4995 7532\n13472 20238\n9071 13652\n24527 36769\n4480 6741\n74503 100000\n29528 44276\n41320 61920\n92288 100000\n14517 21789\n28561 42816\n93796 100000\n45946 68869\n79267 100000\n86237 100000\n41012 61473\n33865 50789\n31468 47179\n8642 13014\n48468 72682\n13914 20892\n80256 100000\n47995 71969\n61305 91975\n94356 100000\n22783 34184\n18438 27628\n59036 88556\n89692 100000\n90920 100000\n76550 100000\n87486 100000\n90317 100000\n54525 81777\n46624 69911\n28252 42353\n16418 24643\n4078 6121\n27637 41432\n73878 100000\n71160 100000\n46893 70322\n2191 3282\n38254 57329\n98483 100000\n94133 100000\n21473 32198\n74216 100000\n81850 100000\n33385 50073\n3051 4586\n39901 59789\n40068 60042\n82294 100000\n97906 100000\n44075 66044\n21865 32812\n32805 49203\n61162 91764\n60171 90286\n23132 34707\n82310 100000\n25419 38109\n13708 20582\n36440 54647\n33462 50195\n27665 41473\n93980 100000\n61945 92932\n12545 18880\n78815 100000\n19628 29432\n33182 49778\n92735 100000\n44914 67299\n19304 28945\n26114 39167\n5456 8235\n28332 42472\n29383 44051\n75434 100000\n23370 35066\n94820 100000\n48887 73317\n37098 55622\n99356 100000\n23244 34877\n39617 59352\n93101 100000\n71897 100000\n53158 79743\n59630 89467\n62397 93611\n28429 42617\n67257 100000\n59359 89056\n4860 7325\n43023 64462\n21321 31962\n33650 50470\n7477 11271\n78666 100000\n1415 2131\n83877 100000\n8442 12712\n42585 63822\n7955 11990\n54452 81670\n42614 63866\n79607 100000\n57354 86049\n38143 57157\n7041 10620\n8696 13090\n37960 56888\n62655 94001\n46785 70159\n63521 95303\n35560 53326\n40906 61308\n6960 10503\n26283 39415\n81086 100000\n30265 45358\n54640 81940\n27236 40821\n13098 19697\n91994 100000\n64227 96356\n46876 70296\n1413 2128\n55237 82827\n67487 100000\n11269 16969\n21223 31817\n89517 100000\n83149 100000\n56950 85426\n78392 100000\n47643 71455\n39538 59232\n49961 74931\n35493 53226\n50250 75363\n98121 100000\n62919 94405\n34582 51873\n1505 2268\n68585 100000\n55842 83746\n92001 100000\n19400 29083\n14003 21018\n6802 10274\n92670 100000\n32103 48140\n88316 100000\n82517 100000\n72243 100000\n2667 4007\n85730 100000\n17799 26699\n96172 100000\n8185 12323\n72775 100000\n36623 54927\n74898 100000\n23100 34658\n9770 14702\n65842 98752\n26000 38990\n60939 91427\n48785 73166\n90143 100000\n74896 100000\n47368 71032\n72246 100000\n92405 100000\n58279 87436\n23000 34513\n51560 77350\n9156 13774\n26079 39112\n79747 100000\n16388 24598\n18137 27186\n13048 19620\n74244 100000\n55684 83507\n24515 36754\n33012 49520\n68393 100000\n2217 3324\n91297 100000\n23742 35620\n24946 37397\n9916 14928\n11121 16747\n73901 100000\n22300 33474\n87224 100000\n11260 16956\n14084 21135\n36080 54102\n1483 2233\n93499 100000\n99671 100000\n78508 100000\n24103 36146\n42383 63528\n94628 100000\n88524 100000\n99032 100000\n95898 100000\n70820 100000\n78071 100000\n63319 95003\n86533 100000\n28492 42714\n78094 100000\n93337 100000\n53964 80956\n87953 100000\n83619 100000\n802 1204\n12532 18859\n28166 42225\n51351 77051\n52566 78854\n40775 61105\n22368 33572\n60767 91158\n77445 100000\n23613 35426\n90536 100000\n58998 88499\n54413 81617\n55852 83762\n42832 64173\n83157 100000\n15136 22713\n99438 100000\n87473 100000\n96209 100000\n50450 75665\n14828 22251\n77193 100000\n74541 100000\n6390 9653\n79397 100000\n3221 4839\n86941 100000\n40342 60453\n88865 100000\n97163 100000\n90833 100000\n87424 100000\n81768 100000\n42270 63358\n6825 10305\n75972 100000\n22808 34223\n19746 29613\n64218 96342\n76293 100000\n58640 87967\n84693 100000\n24922 37362\n10338 15571\n73395 100000\n97462 100000\n83852 100000\n45027 67466\n57749 86638\n33444 50166\n88729 100000\n16424 24652\n51114 76691\n60004 90033\n35322 52969\n83130 100000\n167 251\n37890 56786\n21521 32269\n18591 27858\n80617 100000\n74427 100000\n17175 25768\n28798 43168\n76090 100000\n53551 80335\n67198 100000\n65512 98268\n24825 37218\n45437 68086\n33357 50028\n98248 100000\n93546 100000\n80337 100000\n19605 29397\n17946 26911\n47989 71960\n1031 1549\n51379 77090\n42645 63912\n49958 74927\n57569 86365\n64449 96693\n63844 95788\n19792 29677\n94178 100000\n71842 100000\n68007 100000\n26259 39382\n37438 56124\n70953 100000\n4142 6220\n7495 11298\n26821 40205\n99362 100000\n68032 100000\n28103 42134\n7181 10823\n67820 100000\n67113 100000\n35535 53287\n79527 100000\n42239 63309\n54545 81804\n29047 43549\n3706 5563\n70668 100000\n34463 51684\n65645 98467\n70740 100000\n85277 100000\n19770 29646\n92645 100000\n31578 47341\n44987 67409\n7147 10777\n62385 93593\n74212 100000\n66023 99031\n75447 100000\n19702 29545\n4911 7402\n74397 100000\n71018 100000\n11550 17388\n51353 77053\n31183 46746\n33702 50546\n22355 33553\n62429 93658\n17533 26305\n63255 94909\n27502 41223\n33236 49852\n32294 48430\n67427 100000\n75879 100000\n34140 51195\n93028 100000\n33908 50846\n29726 44571\n29809 44693\n45454 68112\n34108 51151\n90415 100000\n63658 95505\n3163 4754\n9328 14032\n87 131\n62981 94504\n75993 100000\n91966 100000\n5350 8076\n9184 13816\n56027 84024\n53803 80718\n78185 100000\n22855 34294\n84078 100000\n21575 32347\n88449 100000\n85973 100000\n64904 97365\n88816 100000\n68814 100000\n12080 18181\n14888 22336\n30640 45927\n70057 100000\n94796 100000\n55717 83557\n72312 100000\n60195 90320\n9526 14331\n31509 47240\n42259 63341\n15885 23829\n93102 100000\n19386 29063\n55744 83594\n8001 12054\n40128 60132\n18321 27457\n48546 72807\n59904 89877\n21077 31597\n45401 68036\n70686 100000\n68371 100000\n27494 41211\n82683 100000\n37844 56719\n7718 11637\n79613 100000\n74580 100000\n24274 36399\n2714 4080\n32801 49197\n37021 55509\n62450 93687\n10769 16218\n80545 100000\n74746 100000\n21119 31664\n76705 100000\n42145 63175\n87059 100000\n38319 57427\n19876 29805\n25265 37875\n18581 27840\n78664 100000\n87370 100000\n49806 74697\n98019 100000\n621 930\n92923 100000\n52250 78384\n3894 5848\n61084 91645\n32010 48001\n98728 100000\n65446 98170\n63792 95709\n29869 44778\n61176 91786\n97146 100000\n89523 100000\n48406 72587\n57885 86834\n44453 66619\n62276 93425\n186 275\n24171 36249\n81775 100000\n34881 52316\n25602 38388\n85668 100000\n74237 100000\n34597 51893\n32194 48276\n35917 53856\n59535 89321\n82663 100000\n79634 100000\n83772 100000\n2625 3942\n34956 52431\n86684 100000\n58404 87615\n57253 85890\n97808 100000\n78098 100000\n4414 6644\n93369 100000\n40368 60493\n84758 100000\n50867 76311\n8957 13475\n93068 100000\n92614 100000\n1513 2280\n52267 78410\n33866 50790\n64993 97500\n50368 75541\n43505 65185\n32125 48171\n21324 31968\n43097 64573\n88278 100000\n24111 36158\n12070 18170\n16335 24522\n8954 13471\n39066 58525\n81411 100000\n2548 3831\n60286 90449\n82222 100000\n87905 100000\n18933 28381\n98346 100000\n60932 91415\n38451 57625\n6131 9256\n47794 71679\n28289 42409\n74880 100000\n75824 100000\n44784 67111\n22495 33759\n46900 70333\n31850 47756\n90611 100000\n93437 100000\n93100 100000\n37634 56410\n5362 8092\n10138 15278\n9495 14284\n8816 13268\n18019 27019\n67209 100000\n69884 100000\n78859 100000\n33931 50880\n65355 98032\n81635 100000\n6519 9851\n59162 88748\n31360 47013\n75061 100000\n27423 41101\n82421 100000\n13643 20482\n76754 100000\n26117 39172\n29409 44096\n76205 100000\n57897 86852\n27621 41409\n94059 100000\n89153 100000\n81178 100000\n49680 74522\n610 915\n3945 5922\n41966 62903\n68592 100000\n73572 100000\n8374 12602\n5815 8768\n66727 100000\n5150 7768\n74101 100000\n37900 56802\n39728 59523\n14899 22353\n47133 70678\n70389 100000\n77427 100000\n87138 100000\n20585 30878\n4148 6229\n15570 23371\n65266 97899\n60675 91027\n4473 6732\n24584 36853\n2151 3226\n96801 100000\n95871 100000\n45092 67568\n47500 71238\n70186 100000\n66751 100000\n30101 45125\n97812 100000\n87543 100000\n43122 64615\n62071 93122\n64597 96909\n61539 92334\n24096 36136\n9977 15029\n35483 53209\n95704 100000\n60656 91000\n54606 81895\n86072 100000\n72883 100000\n60905 91376\n51458 77196\n44880 67252\n91209 100000\n70336 100000\n39360 58964\n30814 46198\n68040 100000\n80541 100000\n53135 79710\n72758 100000\n55522 83268\n92115 100000\n39075 58537\n74877 100000\n90538 100000\n37748 56575\n23550 35328\n81745 100000\n27617 41404\n3836 5756\n40956 61383\n33057 49590\n29085 43604\n59869 89826\n65841 98750\n74763 100000\n15618 23443\n61187 91801\n84389 100000\n58926 88387\n1908 2856\n56763 85142\n79292 100000\n86828 100000\n97235 100000\n58232 87364\n44371 66486\n47448 71153\n80092 100000\n43527 65218\n30114 45142\n63901 95876\n36533 54795\n22145 33237\n43469 65132\n912 1368\n99357 100000\n68103 100000\n46284 69398\n7549 11379\n52368 78558\n28088 42113\n68397 100000\n1221 1835\n16701 25059\n9229 13880\n4366 6567\n9308 14003\n15850 23776\n13707 20581\n60434 90670\n96245 100000\n3482 5235\n4596 6916\n41846 62719\n71786 100000\n69517 100000\n33785 50668\n6385 9647\n97567 100000\n98945 100000\n13251 19916\n65208 97817\n39540 59236\n35468 53189\n34446 51656\n98236 100000\n38466 57645\n20644 30961\n97313 100000\n95762 100000\n95216 100000\n31914 47848\n12435 18711\n26336 39491\n63808 95736\n70590 100000\n56389 84572\n35890 53820\n67066 100000\n76947 100000\n19497 29231\n37089 55610\n62205 93320\n26299 39437\n35590 53373\n90395 100000\n61876 92834\n96885 100000\n54216 81329\n22603 33915\n18723 28071\n89826 100000\n23098 34655\n58563 87853\n42757 64064\n881 1321\n64132 96217\n43359 64970\n46798 70179\n88296 100000\n16866 25293\n34604 51903\n26686 40010\n17803 26706\n40096 60086\n29908 44840\n57825 86745\n64308 96482\n8654 13030\n6603 9976\n93206 100000\n47834 71740\n14707 22069\n19568 29339\n63361 95065\n47371 71038\n90751 100000\n64792 97194\n52194 78301\n67959 100000\n29716 44554\n35595 53380\n31199 46768\n92797 100000\n39119 58601\n6951 10490\n7303 11008\n81767 100000\n31430 47122\n49684 74528\n48469 72684\n3030 4556\n98388 100000\n52122 78191\n45890 68781\n27540 41283\n13162 19788\n7170 10808\n41433 62097\n41004 61460\n50769 76158\n72960 100000\n20903 31334\n7182 10825\n98242 100000\n62113 93185\n66175 99260\n97598 100000\n38978 58400\n2428 3643\n63106 94697\n67004 100000\n11715 17629\n57268 85913\n85764 100000\n35541 53297\n93405 100000\n66056 99080\n66541 99813\n81358 100000\n39261 58817\n35341 52997\n22627 33951\n75922 100000\n25438 38135\n52627 78947\n93401 100000\n1028 1546\n91637 100000\n68247 100000\n94798 100000\n61061 91610\n32144 48200\n15434 23164\n84158 100000\n55500 83238\n17879 26824\n9536 14346\n4260 6407\n85144 100000\n43278 64852\n26925 40358\n37002 55484\n66837 100000\n57787 86692\n50304 75444\n30686 45998\n54571 81844\n77972 100000\n97014 100000\n99616 100000\n57009 85519\n52103 78161\n79324 100000\n14638 21969\n38060 57036\n41797 62645\n5330 8045\n30232 45309\n26291 39424\n26969 40423\n11704 17613\n46653 69951\n37470 56169\n79273 100000\n85307 100000\n70227 100000\n73040 100000\n46819 70209\n34995 52488\n33877 50803\n47202 70784\n44941 67340\n10593 15952\n14490 21747\n34639 51959\n54420 81627\n41684 62479\n15380 23085\n46389 69559\n74544 100000\n93362 100000\n47862 71778\n98891 100000\n3856 5786\n45139 67642\n54902 82327\n66209 99309\n61631 92461\n99450 100000\n59442 89176\n99180 100000\n30965 46423\n79693 100000\n4185 6288\n99289 100000\n46681 69995\n22335 33525\n28011 42003\n12565 18910\n78507 100000\n39107 58584\n11670 17562\n15374 23079\n70629 100000\n16154 24236\n36121 54169\n73223 100000\n85366 100000\n13195 19835\n1546 2328\n6535 9873\n52168 78263\n58314 87488\n74332 100000\n60064 90122\n25513 38246\n69829 100000\n95339 100000\n36798 55189\n21436 32144\n77917 100000\n16968 25451\n53017 79526\n11709 17619\n95952 100000\n88365 100000\n36844 55257\n81454 100000\n5733 8644\n40888 61279\n43964 65874\n93493 100000\n59366 89066\n425 627\n7509 11316\n18447 27640\n31773 47635\n22294 33466\n15578 23382\n77282 100000\n85783 100000\n73785 100000\n55335 82982\n67541 100000\n12146 18285\n67433 100000\n59632 89471\n14029 21055\n75002 100000\n32976 49462\n64283 96442\n48622 72927\n78100 100000\n18586 27850\n46640 69933\n27597 41373\n9180 13810\n6058 9152\n36095 54126\n94310 100000\n64654 96994\n47581 71357\n16618 24934\n63877 95839\n8118 12224\n17393 26095\n7319 11031\n35428 53131\n40981 61423\n35530 53282\n99493 100000\n4927 7429\n74771 100000\n70853 100000\n89600 100000\n10627 16006\n74941 100000\n89383 100000\n19406 29095\n46304 69428\n33803 50697\n93689 100000\n46347 69494\n49943 74903\n62251 93390\n73112 100000\n54223 81340\n89044 100000\n46397 69570\n92922 100000\n38170 57199\n60904 91374\n73937 100000\n76236 100000\n49260 73870\n46644 69938\n9074 13656\n17911 26864\n66542 99814\n26105 39154\n3132 4709\n94710 100000\n12234 18417\n65018 97536\n32988 49480\n37872 56760\n78499 100000\n35219 52820\n2742 4120\n48329 72473\n70830 100000\n29155 43708\n93095 100000\n21120 31665\n93253 100000\n60486 90748\n14826 22248\n89248 100000\n76424 100000\n54266 81407\n30011 44994\n99486 100000\n38264 57343\n119 179\n69659 100000\n71523 100000\n5780 8718\n54649 81952\n67099 100000\n35720 53560\n59395 89107\n99082 100000\n72379 100000\n90908 100000\n11654 17538\n40532 60735\n22409 33636\n90688 100000\n46149 69180\n89007 100000\n8737 13150\n55243 82838\n32519 48775\n43453 65109\n70085 100000\n52077 78121\n74972 100000\n92452 100000\n5678 8562\n50042 75054\n77973 100000\n30328 45448\n32802 49199\n83123 100000\n52647 78973\n39585 59304\n41823 62685\n42026 62994\n20882 31304\n3819 5731\n31197 46764\n79232 100000\n56719 85073\n48264 72382\n14879 22322\n95673 100000\n90530 100000\n10404 15670\n25896 38831\n9698 14586\n43255 64816\n53485 80232\n36414 54612\n46067 69059\n50375 75552\n44403 66538\n88594 100000\n31629 47421\n51626 77452\n67588 100000\n8380 12612\n35698 53529\n77909 100000\n65084 97631\n21 29\n69723 100000\n96531 100000\n80120 100000\n50621 75923\n71577 100000\n85252 100000\n34200 51286\n19983 29970\n14316 21489\n36451 54666\n75472 100000\n54620 81915\n28152 42207\n46636 69927\n40823 61178\n61495 92263\n71564 100000\n60188 90310\n76304 100000\n74367 100000\n28346 42493\n17126 25695\n40646 60905\n14138 21218\n54136 81212\n5450 8225\n52556 78839\n50966 76468\n34055 51072\n83262 100000\n83774 100000\n7039 10616\n67467 100000\n71217 100000\n53478 80223\n24634 36927\n53841 80774\n32970 49452\n99261 100000\n68204 100000\n4323 6502\n36994 55473\n68616 100000\n65585 98378\n72985 100000\n42340 63463\n17630 26447\n56337 84496\n65135 97712\n18213 27292\n49414 74108\n56784 85175\n65553 98328\n43564 65274\n32771 49149\n61253 91897\n48346 72498\n19550 29313\n86485 100000\n54807 82183\n7976 12020\n34719 52080\n67010 100000\n55970 83941\n54964 82416\n21235 31836\n534 800\n16328 24510\n62925 94413\n86973 100000\n73783 100000\n19753 29623\n38567 57798\n83957 100000\n24044 36062\n58986 88481\n88110 100000\n63747 95641\n48111 72144\n52164 78257\n51718 77589\n32073 48098\n68304 100000\n99854 100000\n71788 100000\n89618 100000\n27563 41321\n3788 5683\n28683 42997\n98303 100000\n49491 74227\n73238 100000\n45922 68834\n33774 50654\n11945 17976\n37023 55512\n71149 100000\n19164 28738\n77553 100000\n15100 22658\n56348 84510\n54388 81584\n41988 62940\n19682 29512\n66411 99617\n16741 25115\n19907 29853\n48361 72519\n86745 100000\n48267 72385\n25096 37630\n45081 67553\n84479 100000\n97472 100000\n56304 84447\n57947 86934\n27587 41357\n31630 47422\n99339 100000\n22217 33355\n38252 57325\n49614 74422\n55323 82962\n50697 76043\n32297 48435\n28000 41986\n37907 56813\n65340 98010\n8763 13186\n27302 40919\n51724 77596\n43781 65598\n23779 35671\n63721 95598\n52343 78521\n56577 84860\n7970 12012\n46547 69797\n76197 100000\n2926 4400\n14643 21976\n24449 36660\n19220 28821\n67022 100000\n10690 16099\n17159 25745\n28682 42995\n47266 70881\n94014 100000\n56777 85163\n22863 34305\n83735 100000\n53926 80899\n61232 91868\n8302 12490\n97414 100000\n66069 99103\n71263 100000\n15965 23951\n41312 61908\n85314 100000\n17417 26130\n10874 16377\n49019 73511\n57553 86345\n40222 60273\n47641 71452\n12246 18437\n40188 60224\n3799 5699\n69701 100000\n60950 91444\n65592 98389\n78056 100000\n77023 100000\n88847 100000\n759 1136\n36827 55234\n88763 100000\n56427 84627\n56329 84486\n6039 9124\n73563 100000\n66684 100000\n66952 100000\n40546 60756\n32467 48692\n92984 100000\n40936 61352\n63840 95782\n7606 11463\n51126 76710\n31631 47423\n18660 27970\n28047 42059\n67961 100000\n14324 21502\n77883 100000\n11238 16925\n64011 96040\n41777 62617\n99207 100000\n65036 97564\n8579 12921\n99474 100000\n52244 78375\n50127 75180\n69777 100000\n329 480\n9769 14701\n11655 17540\n89546 100000\n6309 9533\n80149 100000\n96980 100000\n84214 100000\n15647 23486\n10051 15146\n94163 100000\n8882 13361\n19598 29385\n98205 100000\n51819 77732\n11674 17568\n27878 41796\n72512 100000\n63336 95026\n52375 78566\n45378 68001\n49123 73661\n11388 17146\n76975 100000\n87339 100000\n1129 1701\n59358 89055\n29789 44668\n11154 16795\n70702 100000\n4670 7032\n27088 40601\n14858 22289\n32149 48208\n74969 100000\n84736 100000\n60964 91467\n15288 22946\n63264 94924\n73807 100000\n48438 72637\n7337 11059\n66381 99574\n78833 100000\n30541 45780\n63136 94745\n85370 100000\n4402 6625\n10 15\n75383 100000\n27868 41781\n47698 71538\n32107 48146\n94640 100000\n68406 100000\n94183 100000\n29481 44203\n18047 27059\n86878 100000\n72357 100000\n32810 49208\n50361 75530\n9546 14360\n78173 100000\n52534 78805\n65287 97928\n63162 94786\n62374 93576\n49945 74905\n81750 100000\n24186 36272\n68422 100000\n64062 96115\n21803 32711\n96748 100000\n29193 43767\n77656 100000\n24866 37279\n48232 72331\n64414 96638\n89914 100000\n9354 14071\n95982 100000\n23254 34891\n39917 59814\n89465 100000\n32828 49235\n49189 73761\n70921 100000\n35653 53466\n70589 100000\n54533 81787\n30846 46244\n26043 39057\n28338 42482\n60578 90889\n20163 30241\n66093 99143\n86125 100000\n16903 25348\n20629 30941\n52693 79042\n76881 100000\n55817 83708\n74219 100000\n14516 21788\n60496 90764\n2823 4241\n5337 8057\n36701 55038\n42071 63061\n46530 69772\n43780 65597\n39869 59746\n90927 100000\n61090 91655\n82299 100000\n57932 86908\n19924 29878\n34746 52119\n64615 96935\n4673 7038\n15551 23337\n67337 100000\n94702 100000\n73669 100000\n88541 100000\n18412 27593\n48471 72687\n98324 100000\n28794 43161\n88934 100000\n62879 94341\n68589 100000\n8836 13293\n8279 12455\n83347 100000\n58612 87923\n85379 100000\n86044 100000\n87107 100000\n47718 71565\n79888 100000\n97224 100000\n58430 87656\n44976 67392\n71643 100000\n48018 72007\n85725 100000\n77844 100000\n60259 90414\n11977 18023\n41733 62556\n74680 100000\n39603 59330\n60813 91225\n30356 45488\n55763 83626\n87439 100000\n25073 37595\n32054 48072\n36737 55096\n81869 100000\n85635 100000\n26153 39225\n45326 67920\n15163 22753\n13994 21005\n58390 87594\n92649 100000\n94225 100000\n46848 70257\n8401 12647\n79946 100000\n87285 100000\n30378 45519\n82017 100000\n51314 76990\n16724 25090\n65186 97785\n61238 91877\n8429 12689\n3899 5855\n16420 24646\n42418 63582\n42464 63651\n17273 25913\n22318 33501\n5183 7820\n70133 100000\n50163 75233\n69299 100000\n19942 29904\n59735 89628\n63981 95994\n72696 100000\n64339 96528\n92639 100000\n28912 43347\n82901 100000\n45268 67831\n28139 42185\n19338 28995\n12303 18517\n12712 19135\n89139 100000\n64264 96413\n77398 100000\n42716 64006\n3613 5426\n51196 76816\n35382 53065\n43927 65820\n9313 14010\n95727 100000\n59392 89103\n60430 90665\n49670 74505\n86755 100000\n44734 67036\n90305 100000\n4188 6293\n99547 100000\n716 1067\n3630 5453\n77907 100000\n91117 100000\n64643 96979\n13950 20943\n38450 57623\n73996 100000\n52319 78484\n61337 92026\n98148 100000\n13615 20439\n61603 92423\n48830 73229\n59824 89759\n64741 97125\n84055 100000\n95764 100000\n42809 64139\n11464 17262\n57280 85932\n67995 100000\n53879 80829\n49236 73833\n41144 61668\n55770 83636\n91443 100000\n40017 59966\n9470 14249\n95657 100000\n33064 49602\n56196 84285\n23228 34853\n27111 40639\n77292 100000\n50625 75929\n59334 89015\n50100 75137\n26837 40227\n96160 100000\n8309 12501\n65204 97812\n49862 74782\n1966 2942\n11920 17936\n10987 16547\n23463 35198\n65150 97734\n13656 20502\n70617 100000\n30132 45166\n29845 44746\n24849 37253\n46197 69252\n16572 24868\n71051 100000\n88025 100000\n73295 100000\n76868 100000\n83697 100000\n65712 98565\n25962 38932\n52735 79103\n35639 53447\n87983 100000\n48505 72744\n62784 94192\n11761 17694\n71573 100000\n12585 18940\n77218 100000\n26942 40383\n73048 100000\n4742 7143\n40348 60463\n7601 11455\n43566 65276\n68162 100000\n46896 70328\n45553 68265\n25544 38292\n74691 100000\n73639 100000\n12727 19157\n43869 65731\n33738 50599\n91611 100000\n68063 100000\n31051 46549\n75418 100000\n15125 22695\n33367 50044\n92120 100000\n94040 100000\n64611 96929\n48980 73454\n77530 100000\n76662 100000\n48854 73266\n45305 67890\n73820 100000\n31768 47629\n28416 42597\n4390 6604\n86896 100000\n40486 60663\n29105 43631\n21001 31480\n74343 100000\n98364 100000\n17540 26315\n17559 26344\n71443 100000\n15572 23373\n23506 35267\n92376 100000\n35389 53075\n51663 77505\n4435 6675\n25928 38882\n97818 100000\n58111 87186\n98228 100000\n47062 70573\n70958 100000\n19542 29301\n16486 24742\n17988 26969\n95765 100000\n81873 100000\n63406 95136\n46297 69417\n48749 73113\n51922 77885\n47192 70767\n16148 24226\n9431 14187\n28212 42293\n21496 32231\n47512 71254\n70885 100000\n92285 100000\n83985 100000\n63991 96011\n58754 88132\n91872 100000\n88973 100000\n59514 89289\n86182 100000\n74858 100000\n27212 40789\n40749 61062\n31864 47776\n31647 47447\n26162 39238\n8324 12523\n79797 100000\n87963 100000\n47825 71727\n41815 62672\n38403 57553\n5385 8129\n27442 41128\n11711 17622\n39886 59768\n88771 100000\n63185 94818\n24539 36788\n19024 28525\n17547 26325\n26780 40147\n30637 45923\n9453 14221\n68014 100000\n4600 6921\n34356 51524\n3286 4941\n40659 60925\n4586 6901\n53353 80023\n43531 65225\n29446 44151\n1251 1883\n65421 98131\n19966 29942\n19357 29020\n53607 80424\n34454 51669\n8493 12790\n63822 95755\n36035 54037\n70976 100000\n38738 58037\n79066 100000\n15519 23292\n76539 100000\n74938 100000\n89749 100000\n12158 18305\n25289 37911\n75759 100000\n88460 100000\n57347 86035\n99951 100000\n47842 71752\n63875 95836\n58397 87605\n89797 100000\n10700 16115\n95899 100000\n63495 95268\n44378 66497\n52152 78238\n76986 100000\n62562 93854\n27366 41014\n37145 55696\n2283 3428\n17196 25798\n59741 89637\n48110 72142\n44581 66817\n53715 80584\n99553 100000\n2821 4238\n78553 100000\n98600 100000\n15462 23204\n88723 100000\n38824 58166\n28086 42109\n30804 46181\n4639 6981\n15012 22524\n56054 84067\n55950 83912\n38687 57967\n16029 24050\n88734 100000\n92978 100000\n1068 1604\n43775 65588\n18710 28053\n38853 58212\n93852 100000\n7936 11962\n52364 78551\n83185 100000\n4432 6671\n10424 15700\n37893 56792\n33983 50964\n32731 49090\n23668 35511\n12186 18345\n62966 94481\n65596 98395\n97038 100000\n60969 91473\n50561 75834\n59487 89244\n70618 100000\n57211 85825\n84163 100000\n91703 100000\n96534 100000\n5357 8086\n39133 58622\n5160 7785\n60019 90054\n28043 42054\n37275 55889\n90856 100000\n51564 77358\n83618 100000\n23380 35079\n84540 100000\n31730 47576\n37577 56330\n29017 43504\n57442 86176\n10337 15570\n89706 100000\n39462 59116\n63891 95860\n85833 100000\n16346 24537\n86653 100000\n81508 100000\n45978 68923\n8319 12515\n71417 100000\n22876 34323\n14873 22313\n18360 27514\n6527 9861\n78218 100000\n27973 41943\n23682 35529\n17492 26245\n26229 39335\n80111 100000\n2723 4093\n68221 100000\n97788 100000\n82807 100000\n25863 38782\n58675 88019\n10557 15894\n1284 1930\n52331 78503\n6001 9067\n13572 20378\n11586 17445\n85038 100000\n9300 13990\n42693 63977\n62545 93827\n51310 76984\n3223 4842\n88483 100000\n55421 83117\n12265 18465\n29028 43522\n24697 37023\n25301 37931\n6327 9561\n62755 94149\n18696 28030\n61875 92833\n66848 100000\n39682 59451\n63827 95761\n2159 3239\n27284 40894\n24642 36942\n21482 32211\n96797 100000\n90002 100000\n52686 79030\n8905 13399\n21472 32196\n13142 19756\n86448 100000\n9070 13650\n45881 68766\n22185 33301\n26920 40351\n39534 59226\n48897 73334\n25643 38449\n51756 77639\n44326 66420\n88510 100000\n19131 28690\n56021 84016\n61108 91681\n13157 19780\n82326 100000\n94562 100000\n23769 35656\n60568 90875\n82955 100000\n35587 53368\n79757 100000\n33720 50574\n15245 22883\n54199 81303\n20905 31337\n71854 100000\n31879 47798\n3813 5722\n55264 82874\n6793 10260\n94865 100000\n78633 100000\n87952 100000\n60212 90347\n42526 63739\n62507 93770\n41298 61889\n55666 83481\n89782 100000\n49693 74542\n12395 18653\n57551 86341\n16439 24674\n49355 74019\n58608 87916\n15071 22611\n97941 100000\n10720 16149\n31540 47284\n42304 63408\n20689 31023\n45542 68246\n9712 14608\n21616 32416\n77752 100000\n82772 100000\n17207 25815\n34270 51388\n12021 18093\n96183 100000\n25087 37617\n64673 97025\n65372 98057\n55969 83939\n65009 97523\n36065 54079\n71063 100000\n21535 32288\n76845 100000\n45206 67743\n73590 100000\n56542 84805\n63910 95890\n43269 64838\n17156 25741\n18372 27532\n89253 100000\n78786 100000\n99723 100000\n45594 68327\n92036 100000\n15677 23529\n54576 81849\n88620 100000\n65256 97885\n19281 28910\n95260 100000\n10902 16417\n72461 100000\n54623 81918\n3579 5376\n70003 100000\n85060 100000\n46988 70468\n75049 100000\n11622 17497\n76579 100000\n71016 100000\n61690 92552\n8967 13488\n36446 54658\n2045 3062\n2224 3334\n95045 100000\n8395 12636\n6218 9388\n38868 58236\n49737 74601\n93133 100000\n14965 22453\n17381 26077\n16419 24645\n51693 77553\n99470 100000\n77636 100000\n34566 51849\n68164 100000\n96714 100000\n88506 100000\n8742 13156\n86053 100000\n18902 28335\n57339 86022\n3949 5926\n38695 57979\n52733 79101\n6319 9548\n4589 6905\n29907 44838\n68927 100000\n76725 100000\n2963 4453\n25907 38848\n81122 100000\n92748 100000\n2014 3014\n44541 66755\n64941 97419\n9227 13877\n75961 100000\n72310 100000\n6710 10136\n65363 98045\n10618 15992\n27445 41133\n33786 50670\n87496 100000\n45527 68224\n78665 100000\n90672 100000\n56183 84265\n90976 100000\n99663 100000\n72980 100000\n49190 73763\n59259 88899\n99533 100000\n83606 100000\n27801 41673\n64814 97226\n84141 100000\n38446 57618\n33269 49900\n21745 32618\n24490 36719\n66949 100000\n3105 4665\n51251 76897\n54900 82323\n43766 65577\n74694 100000\n47203 70785\n56181 84261\n9178 13807\n38243 57311\n73747 100000\n93048 100000\n63202 94843\n85918 100000\n20181 30270\n49705 74560\n34636 51954\n71873 100000\n59959 89963\n48629 72939\n7260 10944\n77834 100000\n21332 31981\n49866 74788\n58975 88465\n34344 51505\n64813 97224\n28506 42738\n83116 100000\n11831 17798\n70782 100000\n95796 100000\n7580 11423\n27184 40744\n24173 36252\n26492 39722\n73558 100000\n68039 100000\n4127 6197\n98952 100000\n82476 100000\n7127 10747\n90965 100000\n77874 100000\n85374 100000\n44828 67171\n22179 33292\n26637 39936\n74702 100000\n56249 84361\n43091 64564\n97853 100000\n35927 53874\n14168 21263\n48884 73312\n75697 100000\n93304 100000\n51827 77745\n8300 12486\n99044 100000\n46224 69296\n39406 59034\n95104 100000\n42069 63058\n74947 100000\n74657 100000\n45392 68021\n56955 85434\n97979 100000\n46427 69615\n54963 82414\n74991 100000\n5026 7577\n8607 12962\n16778 25164\n72675 100000\n17971 26944\n79819 100000\n86747 100000\n64445 96687\n41828 62694\n95990 100000\n21754 32635\n46482 69695\n46298 69418\n90909 100000\n84165 100000\n25605 38392\n88846 100000\n39289 58856\n34808 52211\n34121 51168\n37092 55615\n78705 100000\n996 1496\n65589 98385\n30494 45707\n21499 32235\n77855 100000\n58667 88008\n37943 56862\n25921 38871\n21250 31856\n321 469\n17793 26691\n51592 77399\n14527 21804\n84257 100000\n56639 84957\n57979 86981\n38713 58003\n90010 100000\n67112 100000\n1547 2329\n77525 100000\n70488 100000\n76614 100000\n43251 64809\n479 714\n54550 81812\n31606 47384\n63927 95917\n35129 52678\n73886 100000\n28519 42755\n72753 100000\n86934 100000\n96809 100000\n98939 100000\n55835 83735\n72264 100000\n67532 100000\n15369 23071\n2603 3909\n72217 100000\n30932 46377\n65883 98811\n5133 7742\n4599 6920\n72848 100000\n71058 100000\n94292 100000\n69333 100000\n17889 26836\n48697 73037\n69738 100000\n55979 83953\n74175 100000\n21639 32454\n24245 36356\n14588 21896\n66625 99940\n98601 100000\n18692 28023\n54017 81038\n87429 100000\n61728 92614\n6657 10054\n52407 78617\n28222 42308\n27257 40855\n22528 33804\n48062 72075\n72323 100000\n51180 76789\n92617 100000\n87073 100000\n48923 73373\n68786 100000\n94917 100000\n49915 74860\n34694 52046\n36904 55343\n92488 100000\n1578 2372\n62174 93274\n61881 92841\n48045 72049\n80981 100000\n48903 73344\n11084 16690\n77454 100000\n67208 100000\n84751 100000\n59810 89740\n1399 2104\n91278 100000\n87931 100000\n25761 38627\n52956 79428\n4779 7198\n81879 100000\n76979 100000\n25987 38973\n22297 33470\n71048 100000\n48012 71997\n76732 100000\n68987 100000\n85559 100000\n40213 60259\n90637 100000\n92664 100000\n74095 100000\n60126 90217\n83225 100000\n45086 67560\n59653 89502\n45413 68052\n56421 84620\n15627 23456\n50699 76047\n27789 41654\n32229 48327\n30382 45524\n93685 100000\n22439 33685\n90502 100000\n67091 100000\n85955 100000\n85030 100000\n99709 100000\n66376 99566\n75598 100000\n9157 13775\n18207 27284\n69430 100000\n5252 7923\n2635 3959\n56008 83995\n1991 2981\n34095 51131\n78271 100000\n11057 16652\n18302 27426\n27797 41666\n95212 100000\n67861 100000\n96168 100000\n53778 80681\n97999 100000\n56810 85213\n37373 56033\n43594 65319\n34370 51545\n28544 42791\n56105 84140\n24073 36105\n72525 100000\n61600 92419\n31099 46619\n7468 11256\n49522 74276\n41548 62272\n98532 100000\n99325 100000\n22869 34313\n4966 7490\n67193 100000\n46831 70227\n98309 100000\n30601 45872\n77440 100000\n77879 100000\n53418 80125\n45482 68150\n27325 40953\n84382 100000\n44524 66726\n87769 100000\n27394 41056\n81149 100000\n3639 5464\n85341 100000\n48738 73097\n7494 11296\n29424 44119\n28747 43092\n87829 100000\n41153 61681\n14391 21605\n467 696\n26702 40034\n6906 10426\n40367 60492\n70719 100000\n96963 100000\n12319 18542\n58495 87749\n79514 100000\n61186 91800\n39890 59775\n38791 58118\n26717 40057\n28721 43056\n87617 100000\n70384 100000\n72668 100000\n14348 21538\n50768 76157\n69724 100000\n16726 25092\n51994 77996\n98546 100000\n1786 2677\n24845 37248\n25466 38177\n24011 36013\n16206 24319\n24452 36663\n64304 96476\n70722 100000\n762 1140\n86363 100000\n89282 100000\n84175 100000\n20171 30255\n93322 100000\n24202 36294\n14156 21245\n17745 26617\n75844 100000\n4197 6305\n18763 28130\n91846 100000\n47852 71765\n52549 78830\n87621 100000\n23917 35873\n75761 100000\n79192 100000\n48084 72110\n62439 93673\n44518 66716\n70901 100000\n90173 100000\n18120 27161\n60443 90685\n81728 100000\n1033 1552\n15621 23446\n92427 100000\n93128 100000\n19902 29846\n79389 100000\n27965 41928\n45255 67813\n66748 100000\n97150 100000\n64237 96373\n51284 76948\n92938 100000\n85359 100000\n51395 77111\n55681 83504\n37039 55535\n23468 35207\n17121 25687\n66053 99075\n32102 48139\n7870 11863\n30035 45031\n27542 41286\n11353 17093\n65291 97933\n99113 100000\n72231 100000\n48183 72257\n29447 44153\n27049 40545\n12376 18625\n79985 100000\n89980 100000\n70100 100000\n71889 100000\n33181 49776\n24161 36236\n13201 19842\n18484 27700\n82780 100000\n86529 100000\n31746 47598\n98327 100000\n56292 84427\n74199 100000\n51951 77928\n12287 18496\n20741 31100\n22795 34203\n8298 12483\n4538 6823\n31858 47766\n1381 2078\n59565 89368\n58122 87201\n69155 100000\n89307 100000\n55708 83545\n34223 51321\n80731 100000\n25634 38436\n47505 71245\n37451 56141\n63153 94771\n45166 67684\n2802 4211\n44982 67401\n25295 37920\n56204 84295\n31816 47707\n43400 65028\n628 940\n37225 55808\n64586 96891\n6484 9794\n57124 85696\n16975 25461\n15176 22774\n31001 46473\n98222 100000\n76726 100000\n31174 46732\n71771 100000\n29186 43759\n28968 43427\n24921 37361\n39204 58733\n84972 100000\n71518 100000\n21736 32605\n10145 15285\n83014 100000\n5493 8286\n76757 100000\n84129 100000\n98274 100000\n74424 100000\n23848 35765\n23092 34648\n23943 35914\n87024 100000\n85025 100000\n72383 100000\n47550 71314\n84717 100000\n41070 61562\n97032 100000\n44596 66837\n66160 99238\n36199 54279\n21686 32530\n20262 30389\n14268 21410\n91328 100000\n27748 41596\n70040 100000\n3424 5147\n39588 59309\n18245 27339\n79685 100000\n8793 13233\n60733 91113\n12015 18082\n95525 100000\n19773 29650\n48798 73184\n14305 21471\n69234 100000\n12383 18634\n4037 6059\n66927 100000\n93404 100000\n67980 100000\n25121 37671\n37015 55502\n93637 100000\n15278 22930\n42860 64216\n40262 60332\n29141 43685\n30605 45878\n49144 73694\n97103 100000\n88809 100000\n78438 100000\n92422 100000\n88786 100000\n38130 57140\n82617 100000\n18475 27686\n80205 100000\n3893 5847\n46983 70459\n32024 48024\n93421 100000\n9291 13977\n74696 100000\n35586 53367\n60604 90923\n36970 55441\n55782 83656\n26906 40330\n14698 22056\n66599 99901\n89519 100000\n64095 96163\n79488 100000\n97293 100000\n13311 20001\n15201 22816\n74706 100000\n95797 100000\n39746 59548\n9341 14048\n861 1293\n99444 100000\n45708 68516\n7369 11104\n78294 100000\n44094 66074\n19128 28685\n22878 34326\n33634 50443\n53734 80615\n35651 53462\n75754 100000\n5292 7986\n88348 100000\n33396 50090\n54020 81043\n35828 53726\n21960 32955\n66806 100000\n96731 100000\n92187 100000\n54100 81161\n74118 100000\n95094 100000\n18365 27520\n83559 100000\n71762 100000\n63160 94782\n85441 100000\n75087 100000\n20900 31330\n24718 37056\n36417 54615\n42823 64160\n60814 91226\n73296 100000\n74581 100000\n59690 89558\n80117 100000\n69066 100000\n99412 100000\n2024 3029\n75482 100000\n77320 100000\n64138 96225\n6957 10498\n86374 100000\n12340 18575\n1806 2703\n87982 100000\n65074 97616\n40670 60940\n31356 47007\n84730 100000\n55426 83123\n24020 36024\n49312 73953\n26186 39270\n61057 91604\n1842 2758\n77498 100000\n80613 100000\n24291 36425\n87234 100000\n39535 59228\n219 325\n41715 62526\n77479 100000\n29565 44329\n26468 39684\n88873 100000\n76066 100000\n58902 88348\n75288 100000\n94869 100000\n72334 100000\n25193 37772\n45491 68164\n97424 100000\n75157 100000\n16130 24201\n12415 18681\n48711 73058\n68591 100000\n86997 100000\n88739 100000\n82243 100000\n58382 87584\n7799 11758\n26182 39265\n77818 100000\n91859 100000\n78654 100000\n86561 100000\n54060 81104\n99213 100000\n85124 100000\n52816 79221\n17403 26109\n57980 86983\n89764 100000\n16222 24343\n89609 100000\n26706 40042\n63960 95966\n88968 100000\n5197 7842\n29377 44040\n2934 4414\n78946 100000\n76041 100000\n72135 100000\n98535 100000\n20184 30275\n42156 63191\n79588 100000\n79945 100000\n62613 93935\n2419 3631\n68157 100000\n66212 99312\n27987 41964\n38744 58045\n2218 3326\n50142 75203\n49255 73863\n96146 100000\n49699 74552\n47295 70923\n71132 100000\n57423 86149\n46598 69870\n42778 64095\n78573 100000\n45235 67785\n45300 67883\n47021 70521\n52873 79306\n32056 48074\n14533 21812\n92758 100000\n75289 100000\n27083 40593\n71383 100000\n77188 100000\n47497 71234\n61766 92668\n19640 29448\n54398 81598\n34895 52336\n44780 67105\n78869 100000\n8574 12916\n4867 7335\n6313 9539\n94272 100000\n53216 79834\n80450 100000\n64385 96595\n22029 33065\n83486 100000\n59500 89267\n56354 84518\n28575 42835\n87878 100000\n89886 100000\n41275 61858\n60341 90531\n34371 51547\n67571 100000\n59171 88759\n74375 100000\n61563 92368\n49166 73727\n35251 52870\n78073 100000\n55310 82946\n46929 70377\n52796 79192\n56371 84542\n71294 100000\n37751 56580\n55417 83112\n85098 100000\n52101 78158\n31184 46747\n13087 19678\n14488 21743\n7817 11782\n79342 100000\n81888 100000\n36325 54479\n11465 17263\n19667 29489\n98506 100000\n5108 7705\n7354 11083\n94560 100000\n66516 99775\n81874 100000\n56693 85035\n39885 59767\n66945 100000\n45301 67884\n41836 62704\n99117 100000\n14342 21530\n88056 100000\n68759 100000\n27107 40633\n64556 96848\n8271 12442\n78578 100000\n24334 36490\n44538 66749\n72479 100000\n74062 100000\n19725 29582\n92320 100000\n49569 74350\n10191 15356\n56030 84029\n30490 45702\n55934 83889\n49841 74748\n3278 4927\n43919 65809\n86800 100000\n1290 1940\n1427 2148\n79703 100000\n65107 97667\n44455 66622\n33679 50512\n65575 98362\n59128 88698\n58837 88260\n8580 12923\n10692 16101\n81898 100000\n35809 53696\n50423 75626\n4632 6971\n30230 45307\n21749 32625\n82611 100000\n1672 2514\n38908 58297\n42594 63836\n59976 89987\n3181 4778\n74599 100000\n43108 64593\n41977 62922\n26202 39293\n50777 76170\n20833 31230\n37984 56926\n76257 100000\n93107 100000\n36550 54819\n45015 67448\n12231 18413\n93526 100000\n24382 36558\n86713 100000\n37550 56289\n10242 15430\n84941 100000\n46335 69475\n28542 42789\n3587 5388\n36960 55424\n56373 84545\n56378 84554\n45020 67454\n49616 74425\n21711 32567\n57624 86449\n27687 41505\n50117 75162\n96370 100000\n86439 100000\n74025 100000\n12257 18455\n70146 100000\n72267 100000\n73026 100000\n72963 100000\n12054 18145\n63359 95062\n6142 9271\n86397 100000\n34612 51917\n50188 75271\n33800 50692\n78629 100000\n89900 100000\n98082 100000\n16112 24177\n57691 86551\n6826 10307\n94819 100000\n56832 85247\n57139 85721\n87487 100000\n75691 100000\n82527 100000\n47235 70832\n27767 41623\n34739 52109\n20724 31075\n89871 100000\n20307 30451\n62378 93584\n58650 87982\n67544 100000\n34892 52331\n12115 18235\n29068 43578\n833 1250\n6899 10414\n49970 74945\n5561 8388\n75518 100000\n71545 100000\n62069 93118\n39383 59001\n82549 100000\n33017 49529\n12913 19414\n34110 51154\n69688 100000\n14214 21331\n10729 16162\n73055 100000\n39126 58613\n74470 100000\n81601 100000\n75458 100000\n17759 26639\n52980 79466\n21835 32761\n25372 38035\n23794 35692\n80834 100000\n69516 100000\n10988 16549\n6036 9118\n89163 100000\n41904 62812\n61081 91640\n7460 11244\n46146 69176\n20548 30815\n88486 100000\n75971 100000\n89240 100000\n53982 80981\n8815 13267\n35370 53044\n45773 68608\n45195 67727\n20767 31139\n71376 100000\n59251 88886\n83518 100000\n99275 100000\n70788 100000\n1714 2572\n4659 7013\n78862 100000\n49146 73698\n85856 100000\n991 1489\n80523 100000\n73461 100000\n13265 19937\n77278 100000\n85667 100000\n13085 19676\n64913 97380\n90314 100000\n84436 100000\n30766 46120\n9583 14414\n16990 25485\n57513 86284\n82023 100000\n18589 27855\n99743 100000\n13602 20421\n3394 5100\n16436 24670\n46700 70025\n58192 87302\n84161 100000\n94165 100000\n52512 78769\n1958 2930\n83856 100000\n64504 96770\n26818 40200\n92399 100000\n154 233\n44435 66589\n62324 93497\n48035 72032\n70743 100000\n71185 100000\n94804 100000\n53787 80694\n43099 64577\n7931 11956\n75372 100000\n41195 61740\n67682 100000\n76869 100000\n49253 73860\n86912 100000\n12758 19198\n26007 39001\n11130 16760\n72445 100000\n13179 19813\n39345 58942\n29941 44893\n98026 100000\n75896 100000\n2143 3212\n99874 100000\n95275 100000\n27946 41894\n89882 100000\n36412 54608\n49323 73970\n71920 100000\n66045 99065\n73770 100000\n28308 42437\n86847 100000\n88703 100000\n89200 100000\n14980 22477\n21844 32774\n18550 27799\n60839 91270\n96336 100000\n596 894\n68428 100000\n15646 23485\n53346 80013\n62108 93176\n17241 25864\n7874 11870\n81527 100000\n57072 85616\n57890 86840\n83892 100000\n45313 67901\n86430 100000\n51098 76668\n51160 76760\n3760 5641\n78232 100000\n93677 100000\n93010 100000\n27278 40885\n61473 92229\n33656 50479\n47786 71668\n11386 17144\n21411 32104\n88804 100000\n21862 32806\n94496 100000\n53337 80002\n32365 48532\n83119 100000\n72332 100000\n98335 100000\n4886 7365\n66444 99666\n39491 59158\n13555 20357\n35602 53390\n55391 83071\n61873 92830\n40562 60779\n52558 78842\n50026 75029\n62359 93553\n41481 62168\n22187 33305\n27192 40757\n90107 100000\n92665 100000\n18490 27711\n3673 5516\n46765 70127\n86560 100000\n92453 100000\n68415 100000\n53844 80779\n47020 70519\n46516 69748\n90632 100000\n64236 96371\n83496 100000\n6733 10171\n23155 34740\n81629 100000\n58412 87628\n97573 100000\n84626 100000\n43607 65338\n49286 73911\n10285 15492\n82106 100000\n39732 59528\n67073 100000\n22018 33047\n73510 100000\n28951 43399\n63886 95851\n47211 70797\n87813 100000\n10130 15264\n71319 100000\n73821 100000\n27215 40792\n32312 48457\n11955 17992\n18370 27528\n17293 25944\n6926 10456\n87707 100000\n89634 100000\n51732 77606\n62460 93701\n83193 100000\n1351 2034\n61965 92965\n62413 93635\n6984 10539\n59123 88691\n2274 3414\n10869 16370\n76855 100000\n69784 100000\n11929 17949\n20684 31017\n56582 84869\n88384 100000\n17617 26429\n20973 31440\n70803 100000\n84970 100000\n46188 69239\n96643 100000\n79385 100000\n72566 100000\n9622 14473\n84223 100000\n73541 100000\n59437 89168\n46963 70429\n70604 100000\n70115 100000\n42314 63424\n58371 87566\n73555 100000\n62506 93769\n48032 72027\n34124 51171\n41833 62701\n52045 78071\n12121 18245\n77263 100000\n50066 75086\n4221 6342\n90095 100000\n44178 66197\n77419 100000\n96837 100000\n11696 17600\n57369 86071\n14507 21774\n38477 57660\n14299 21463\n35892 53823\n87662 100000\n92508 100000\n88702 100000\n30076 45085\n16716 25079\n4899 7385\n390 574\n22989 34497\n84580 100000\n49077 73593\n47689 71522\n74243 100000\n6230 9407\n88588 100000\n64234 96367\n23749 35629\n80791 100000\n10248 15440\n57508 86277\n95961 100000\n9248 13912\n12226 18405\n3948 5925\n60713 91088\n24986 37460\n598 897\n74285 100000\n32127 48174\n46043 69021\n60310 90486\n20790 31170\n56104 84138\n3219 4836\n90743 100000\n93554 100000\n92045 100000\n54875 82288\n53440 80162\n1046 1573\n40763 61085\n54946 82389\n47889 71820\n44823 67164\n17469 26211\n21752 32631\n98847 100000\n50893 76353\n40276 60356\n80094 100000\n13592 20408\n71843 100000\n43080 64551\n14983 22482\n70010 100000\n71912 100000\n34090 51123\n85112 100000\n6445 9732\n95227 100000\n48378 72545\n56258 84372\n47557 71324\n5343 8066\n91427 100000\n88356 100000\n36544 54810\n4122 6189\n61973 92977\n89391 100000\n27894 41820\n98003 100000\n56654 84981\n39162 58668\n31609 47388\n68509 100000\n69237 100000\n61134 91723\n75439 100000\n10514 15830\n88092 100000\n46027 68996\n82903 100000\n24075 36107\n88835 100000\n39349 58949\n45966 68901\n53528 80296\n66325 99488\n9953 14992\n53472 80214\n22519 33794\n47686 71519\n22943 34426\n48247 72357\n50919 76394\n94489 100000\n90170 100000\n76917 100000\n35665 53484\n82584 100000\n31891 47818\n78800 100000\n88052 100000\n43179 64698\n93703 100000\n78599 100000\n88701 100000\n88362 100000\n64109 96185\n75454 100000\n98577 100000\n46936 70387\n26298 39435\n47170 70734\n20113 30165\n30984 46449\n22224 33365\n37772 56614\n77001 100000\n34525 51784\n53888 80841\n85249 100000\n54638 81937\n26107 39156\n58859 88286\n83077 100000\n15762 23650\n63157 94776\n12071 18172\n35744 53604\n7455 11237\n85994 100000\n80019 100000\n45858 68733\n13450 20208\n58816 88226\n81650 100000\n23050 34586\n71042 100000\n68120 100000\n32112 48155\n23883 35818\n51192 76810\n8359 12577\n61342 92034\n32584 48871\n41767 62603\n84663 100000\n96758 100000\n97988 100000\n23944 35915\n64303 96475\n30483 45692\n42731 64027\n2818 4233\n29585 44355\n65465 98199\n25938 38895\n52449 78679\n71874 100000\n85348 100000\n57811 86723\n14981 22479\n79756 100000\n35336 52989\n39920 59819\n64917 97385\n49224 73816\n19132 28691\n81741 100000\n89330 100000\n19723 29579\n3366 5057\n51406 77125\n53858 80799\n79541 100000\n19483 29209\n8864 13335\n4049 6078\n9765 14694\n63620 95450\n98417 100000\n60928 91410\n27009 40481\n92180 100000\n27632 41427\n88756 100000\n29835 44729\n93943 100000\n45742 68561\n47937 71892\n44922 67309\n67372 100000\n39260 58815\n66295 99440\n80105 100000\n67456 100000\n56736 85099\n85319 100000\n22966 34464\n6904 10422\n44803 67138\n72419 100000\n89726 100000\n11006 16578\n99839 100000\n79796 100000\n46584 69849\n88636 100000\n20521 30772\n38279 57367\n5675 8558\n7432 11202\n89512 100000\n2746 4125\n34425 51627\n67255 100000\n43693 65467\n85 129\n98682 100000\n45494 68168\n3895 5850\n93476 100000\n21552 32313\n90871 100000\n22312 33492\n31840 47741\n84434 100000\n30508 45728\n12642 19023\n16039 24066\n16490 24748\n39947 59862\n51032 76568\n57694 86556\n93211 100000\n47063 70574\n8926 13428\n41827 62692\n61599 92418\n87403 100000\n10785 16243\n62531 93807\n66914 100000\n40184 60219\n90390 100000\n23332 35012\n58198 87311\n77716 100000\n278 407\n99641 100000\n44513 66707\n16294 24452\n91814 100000\n88400 100000\n29806 44689\n48372 72537\n9982 15037\n5046 7611\n95911 100000\n87522 100000\n60227 90368\n74507 100000\n30499 45714\n21776 32671\n59614 89445\n81056 100000\n21832 32757\n90386 100000\n88407 100000\n86491 100000\n79675 100000\n77165 100000\n57075 85620\n27981 41955\n94557 100000\n81405 100000\n36663 54981\n46245 69333\n44148 66152\n35181 52763\n47609 71399\n28192 42262\n23788 35683\n62411 93632\n53864 80807\n21459 32177\n44024 65964\n20731 31087\n24780 37149\n21836 32762\n82939 100000\n52572 78863\n27620 41407\n99383 100000\n57002 85507\n45293 67873\n76759 100000\n22245 33395\n68043 100000\n59420 89144\n84739 100000\n66863 100000\n14626 21952\n87265 100000\n78431 100000\n94487 100000\n73740 100000\n13354 20068\n3365 5056\n45535 68235\n67962 100000\n4832 7282\n69700 100000\n29540 44294\n34310 51450\n85741 100000\n15917 23877\n91680 100000\n96306 100000\n96341 100000\n79007 100000\n23959 35938\n52066 78104\n3765 5646\n1686 2535\n26571 39834\n37841 56716\n89953 100000\n46428 69616\n63741 95631\n45592 68324\n50467 75691\n24902 37335\n29633 44429\n98803 100000\n87368 100000\n9773 14707\n57565 86360\n17850 26776\n94197 100000\n76337 100000\n20995 31470\n85821 100000\n38010 56964\n78492 100000\n80765 100000\n50322 75472\n45052 67505\n88562 100000\n52675 79014\n19094 28633\n41800 62650\n88964 100000\n71879 100000\n18362 27516\n9245 13908\n58300 87468\n95396 100000\n14822 22242\n31027 46513\n53175 79770\n99051 100000\n53625 80453\n54962 82412\n10981 16538\n23032 34559\n39102 58578\n46550 69803\n54524 81776\n10282 15488\n46167 69208\n98102 100000\n73896 100000\n92334 100000\n8497 12796\n2109 3162\n47964 71928\n37027 55518\n2531 3803\n95157 100000\n40476 60651\n80171 100000\n85215 100000\n42222 63285\n8661 13039\n96601 100000\n19958 29929\n11914 17924\n18161 27220\n16788 25180\n61465 92218\n5929 8951\n25005 37489\n14258 21392\n47752 71615\n22628 33952\n5518 8325\n39866 59741\n10518 15834\n70192 100000\n29595 44372\n86126 100000\n9761 14687\n16128 24198\n25476 38192\n26734 40078\n83838 100000\n62730 94111\n58695 88046\n1656 2488\n24183 36268\n63555 95353\n97569 100000\n74536 100000\n19821 29720\n99598 100000\n89062 100000\n77261 100000\n70579 100000\n60799 91203\n23391 35096\n57545 86332\n1895 2837\n67061 100000\n94875 100000\n25010 37496\n24564 36826\n50854 76290\n761 1138\n96775 100000\n49546 74316\n64238 96374\n25879 38806\n18236 27325\n84016 100000\n25724 38573\n37263 55868\n27594 41368\n62851 94299\n55116 82648\n9736 14647\n48851 73261\n25965 38936\n47073 70590\n17742 26613\n24246 36357\n20960 31422\n87444 100000\n33035 49554\n39821 59667\n8511 12816\n42500 63701\n86886 100000\n8826 13280\n6963 10508\n8720 13125\n95459 100000\n56300 84441\n37064 55574\n11050 16642\n66374 99562\n46376 69540\n43096 64572\n30336 45461\n97282 100000\n68179 100000\n31215 46793\n99290 100000\n81972 100000\n22140 33229\n57998 87013\n76531 100000\n98024 100000\n89818 100000\n41825 62689\n4477 6737\n788 1183\n63010 94548\n11582 17438\n44208 66240\n6280 9482\n50763 76151\n26622 39911\n91360 100000\n40752 61066\n52669 79005\n42758 64065\n73081 100000\n51708 77576\n63798 95718\n97876 100000\n3715 5578\n89708 100000\n73042 100000\n37196 55765\n89107 100000\n2513 3772\n38235 57297\n25775 38650\n81547 100000\n10695 16106\n14130 21205\n78820 100000\n9745 14660\n66404 99608\n6780 10240\n11865 17851\n64562 96860\n97419 100000\n3203 4812\n76867 100000\n45121 67612\n65613 98421\n47376 71044\n12920 19424\n66654 99987\n89069 100000\n85926 100000\n4223 6346\n38357 57481\n83699 100000\n94853 100000\n88878 100000\n70017 100000\n8040 12110\n36631 54939\n43107 64591\n17939 26902\n31149 46693\n45377 68000\n11301 17016\n37278 55894\n89693 100000\n44085 66059\n4098 6153\n30966 46424\n27044 40536\n79391 100000\n88225 100000\n28159 42215\n96474 100000\n90266 100000\n78564 100000\n77106 100000\n19180 28763\n70742 100000\n44748 67058\n67793 100000\n14961 22446\n99039 100000\n84688 100000\n3376 5071\n40138 60151\n83635 100000\n96344 100000\n66688 100000\n89979 100000\n99403 100000\n78260 100000\n22518 33792\n8265 12434\n59709 89587\n72187 100000\n23627 35446\n78229 100000\n78340 100000\n60220 90358\n13386 20115\n75595 100000\n51307 76980\n9863 14843\n22661 34001\n43133 64628\n25818 38716\n18322 27458\n41912 62822\n82544 100000\n94533 100000\n3545 5320\n54408 81610\n72879 100000\n81786 100000\n93439 100000\n9304 13996\n75538 100000\n83300 100000\n53579 80383\n65294 97938\n5263 7941\n82840 100000\n18478 27690\n56238 84345\n92523 100000\n86566 100000\n7957 11993\n8961 13481\n52596 78900\n7230 10897\n73811 100000\n57445 86181\n71377 100000\n72759 100000\n85121 100000\n93353 100000\n52987 79477\n20303 30447\n86351 100000\n58810 88216\n68476 100000\n95382 100000\n58674 88018\n47034 70538\n25163 37728\n42450 63632\n30504 45721\n40119 60121\n83572 100000\n71448 100000\n21681 32523\n51256 76902\n47338 70990\n34274 51394\n56207 84299\n45266 67828\n858 1288\n85579 100000\n41054 61539\n15342 23030\n16283 24434\n32796 49190\n36713 55059\n39303 58878\n1279 1922\n63801 95724\n8187 12326\n43541 65241\n79309 100000\n58557 87842\n81039 100000\n70105 100000\n77210 100000\n41186 61725\n24788 37162\n5998 9062\n31101 46622\n72528 100000\n12138 18271\n63186 94820\n57670 86517\n46747 70100\n31675 47488\n26668 39983\n86659 100000\n33704 50549\n79159 100000\n31318 46952\n53275 79916\n2320 3485\n62483 93738\n52752 79126\n80926 100000\n69393 100000\n67361 100000\n37330 55970\n33042 49567\n67704 100000\n39542 59238\n6517 9847\n83399 100000\n49058 73571\n35763 53629\n33453 50179\n50014 75012\n90552 100000\n57279 85931\n81505 100000\n53736 80619\n19179 28762\n87728 100000\n81960 100000\n28591 42857\n2696 4051\n40571 60790\n69038 100000\n30417 45579\n70042 100000\n43035 64481\n18842 28244\n92935 100000\n440 652\n26121 39179\n3076 4623\n72241 100000\n13341 20048\n97289 100000\n73443 100000\n12857 19335\n41505 62207\n5871 8858\n46909 70346\n96242 100000\n54830 82221\n80108 100000\n18440 27631\n69579 100000\n6841 10330\n12530 18855\n84918 100000\n2331 3505\n77770 100000\n18269 27378\n84225 100000\n54749 82103\n23607 35419\n57772 86671\n71960 100000\n50098 75133\n77921 100000\n57635 86466\n12397 18655\n79830 100000\n81979 100000\n80327 100000\n87263 100000\n77808 100000\n41372 62001\n85306 100000\n4848 7306\n44458 66625\n2153 3229\n13792 20705\n52680 79022\n85363 100000\n81551 100000\n84159 100000\n81269 100000\n82881 100000\n93594 100000\n84199 100000\n85757 100000\n13628 20462\n74294 100000\n67416 100000\n61317 91995\n63005 94541\n12286 18495\n46786 70161\n66466 99701\n50122 75171\n17576 26371\n38902 58287\n1312 1972\n74564 100000\n29724 44567\n20284 30420\n6708 10133\n78092 100000\n76343 100000\n8858 13328\n41945 62872\n46850 70260\n4262 6411\n61215 91844\n22456 33711\n76582 100000\n87826 100000\n68682 100000\n58438 87669\n24655 36962\n46678 69989\n62139 93227\n29309 43941\n40059 60028\n46781 70152\n17222 25835\n55765 83630\n94700 100000\n71522 100000\n94826 100000\n5656 8529\n50398 75589\n49483 74213\n54314 81479\n39256 58811\n3052 4588\n17327 25998\n72617 100000\n25365 38025\n60296 90463\n54427 81638\n82013 100000\n40892 61285\n40201 60241\n90740 100000\n77671 100000\n38499 57697\n14257 21390\n3973 5964\n5027 7579\n36572 54851\n951 1426\n49909 74852\n38111 57109\n60362 90560\n14318 21492\n46727 70068\n57076 85621\n73361 100000\n26029 39033\n4011 6018\n31434 47129\n88785 100000\n9085 13672\n45477 68144\n46346 69493\n86015 100000\n98851 100000\n69327 100000\n51233 76871\n53613 80433\n73340 100000\n90675 100000\n33564 50339\n21140 31693\n53232 79855\n24439 36642\n86975 100000\n73806 100000\n48899 73337\n86368 100000\n11886 17883\n74638 100000\n45593 68326\n12706 19124\n37191 55759\n24112 36160\n5007 7549\n73130 100000\n44342 66443\n12408 18671\n6602 9974\n75 114\n50352 75515\n32491 48729\n87856 100000\n59336 89019\n64708 97080\n81453 100000\n27209 40784\n38496 57692\n66048 99069\n39123 58607\n46471 69679\n93371 100000\n67727 100000\n97318 100000\n71611 100000\n6515 9844\n68660 100000\n56001 83984\n85383 100000\n41220 61779\n16203 24315\n27055 40554\n65240 97862\n80194 100000\n16125 24195\n903 1353\n55107 82633\n12502 18817\n37348 55995\n60361 90558\n58426 87649\n13851 20797\n82297 100000\n90378 100000\n31282 46894\n26041 39055\n10565 15907\n43442 65090\n7359 11092\n69629 100000\n82420 100000\n86301 100000\n84722 100000\n16149 24228\n66967 100000\n55258 82863\n10948 16490\n79749 100000\n83359 100000\n85601 100000\n2716 4084\n96598 100000\n56514 84758\n9468 14247\n14101 21163\n22523 33798\n7103 10707\n75016 100000\n15679 23532\n90059 100000\n27469 41170\n41161 61693\n45070 67536\n63261 94919\n85740 100000\n29497 44227\n95537 100000\n69051 100000\n97755 100000\n70147 100000\n43200 64731\n48663 72984\n66804 100000\n20501 30741\n99500 100000\n74534 100000\n14518 21790\n58422 87644\n52434 78656\n20715 31062\n52830 79242\n36778 55159\n58211 87333\n66110 99166\n80067 100000\n88452 100000\n13910 20887\n92750 100000\n81644 100000\n74535 100000\n30320 45437\n97523 100000\n81065 100000\n32214 48306\n5564 8392\n43634 65378\n77891 100000\n45374 67996\n50681 76019\n15345 23035\n56815 85220\n72541 100000\n8590 12937\n70761 100000\n74590 100000\n14600 21914\n90340 100000\n6408 9679\n98683 100000\n65361 98041\n52517 78775\n92843 100000\n29460 44169\n42012 62972\n67185 100000\n49944 74904\n5280 7969\n9012 13560\n25720 38567\n42160 63196\n12836 19311\n99254 100000\n22535 33815\n30506 45724\n54150 81234\n32150 48210\n82050 100000\n17149 25730\n86134 100000\n14085 21137\n1388 2090\n37336 55978\n7095 10696\n98624 100000\n12919 19423\n51369 77076\n36346 54505\n86130 100000\n69257 100000\n3505 5268\n36526 54782\n35209 52806\n50936 76420\n1701 2557\n56029 84028\n50890 76349\n48507 72748\n11066 16664\n86772 100000\n47324 70967\n99806 100000\n21446 32159\n7327 11042\n70851 100000\n58634 87957\n92113 100000\n43271 64842\n62244 93379\n57647 86483\n67214 100000\n19699 29539\n88953 100000\n80544 100000\n48685 73020\n42904 64279\n17357 26040\n33223 49834\n48818 73213\n81427 100000\n37837 56709\n35488 53217\n69136 100000\n15901 23855\n73499 100000\n95445 100000\n34073 51097\n78769 100000\n40626 60876\n77361 100000\n45626 68384\n4132 6204\n9971 15020\n5212 7863\n60001 90029\n45456 68115\n27382 41038\n45851 68723\n27852 41756\n23185 34785\n72764 100000\n72986 100000\n39266 58826\n99958 100000\n22794 34201\n22734 34107\n71358 100000\n54853 82258\n1651 2480\n57734 86613\n89643 100000\n29476 44195\n13568 20373\n4822 7265\n40111 60109\n22465 33721\n54196 81298\n23979 35968\n95874 100000\n41104 61612\n64718 97096\n7559 11395\n23405 35115\n52383 78577\n75195 100000\n21556 32318\n17244 25869\n5735 8647\n83239 100000\n57899 86856\n5243 7909\n89961 100000\n27920 41854\n26159 39234\n53545 80325\n33140 49718\n27259 40859\n78655 100000\n13483 20251\n3512 5277\n35666 53485\n96239 100000\n5585 8426\n57813 86725\n9356 14073\n12440 18719\n18325 27462\n24473 36692\n88647 100000\n94232 100000\n19527 29278\n69245 100000\n98968 100000\n5498 8293\n24652 36957\n95752 100000\n68715 100000\n47611 71403\n97502 100000\n91406 100000\n70134 100000\n16231 24357\n68212 100000\n23253 34889\n62350 93541\n16722 25087\n44254 66310\n35367 53039\n55639 83443\n32381 48557\n51691 77550\n22549 33839\n59212 88826\n17812 26722\n45884 68771\n61966 92967\n65086 97633\n64527 96807\n79582 100000\n94038 100000\n35610 53402\n23441 35166\n45718 68528\n59655 89505\n55612 83401\n14684 22037\n88570 100000\n63027 94573\n60797 91200\n29166 43725\n11967 18009\n52823 79232\n55551 83311\n68376 100000\n94003 100000\n76829 100000\n24077 36111\n6474 9776\n74115 100000\n43173 64689\n78033 100000\n30909 46340\n44143 66144\n55987 83965\n98620 100000\n7396 11147\n37728 56544\n53185 79786\n11758 17690\n64483 96737\n45037 67482\n55179 82740\n76133 100000\n1539 2317\n87618 100000\n11889 17887\n43032 64476\n82246 100000\n54681 82002\n44681 66962\n41776 62616\n17810 26718\n60669 91019\n53457 80190\n37112 55645\n57070 85612\n28689 43005\n93186 100000\n74268 100000\n808 1212\n32036 48042\n19851 29762\n78064 100000\n9179 13809\n12720 19147\n86317 100000\n78382 100000\n84323 100000\n43085 64557\n33407 50107\n81275 100000\n2608 3914\n95774 100000\n70462 100000\n36805 55198\n71482 100000\n87708 100000\n76232 100000\n1812 2712\n23319 34991\n25253 37858\n40228 60282\n97355 100000\n20164 30243\n40881 61267\n35054 52571\n89246 100000\n12405 18666\n89040 100000\n9011 13558\n7681 11577\n88695 100000\n33882 50811\n9746 14662\n25198 37780\n86122 100000\n75428 100000\n96784 100000\n23447 35175\n11970 18015\n96450 100000\n23978 35966\n21607 32399\n16107 24167\n12981 19516\n66956 100000\n31435 47131\n26255 39377\n33432 50149\n98264 100000\n88279 100000\n80913 100000\n57495 86255\n47137 70685\n87700 100000\n93684 100000\n14957 22439\n45634 68395\n51573 77372\n78179 100000\n69089 100000\n62333 93512\n44528 66734\n55507 83247\n68884 100000\n30216 45286\n7279 10973\n6842 10332\n73176 100000\n65436 98153\n48873 73297\n47126 70667\n34651 51975\n40743 61052\n3400 5110\n15307 22972\n30664 45965\n30321 45438\n70989 100000\n51743 77620\n57468 86218\n28311 42441\n92839 100000\n93743 100000\n80894 100000\n14435 21666\n70220 100000\n56462 84682\n73989 100000\n25460 38169\n21550 32310\n4905 7394\n13770 20671\n70231 100000\n60098 90174\n82713 100000\n34493 51731\n70240 100000\n94940 100000\n9345 14055\n25537 38282\n34289 51418\n330 482\n76458 100000\n92602 100000\n8063 12146\n92601 100000\n19200 28793\n80778 100000\n77568 100000\n97154 100000\n65774 98655\n91843 100000\n14112 21180\n98227 100000\n22343 33537\n59400 89115\n78912 100000\n42467 63656\n13979 20983\n4457 6709\n19451 29163\n13024 19582\n66262 99390\n94017 100000\n50017 75016\n20020 30028\n89869 100000\n68344 100000\n98613 100000\n99251 100000\n25599 38382\n85385 100000\n44379 66499\n60975 91481\n73319 100000\n80512 100000\n25704 38544\n96232 100000\n16465 24712\n25391 38065\n64563 96861\n84312 100000\n65629 98445\n86160 100000\n92704 100000\n72484 100000\n27671 41481\n41712 62521\n633 948\n51040 76579\n63282 94950\n88608 100000\n68854 100000\n94860 100000\n67037 100000\n29896 44821\n39729 59525\n95005 100000\n80782 100000\n86175 100000\n87746 100000\n93415 100000\n5175 7809\n10716 16143\n67525 100000\n45010 67443\n51563 77356\n49412 74104\n84410 100000\n15848 23772\n83884 100000\n16935 25394\n84719 100000\n28477 42690\n31463 47172\n55428 83127\n97024 100000\n68466 100000\n94550 100000\n52188 78292\n66068 99102\n26098 39144\n90602 100000\n53300 79954\n17044 25572\n61740 92629\n69532 100000\n24328 36481\n32599 48893\n589 885\n77226 100000\n97669 100000\n21350 32008\n37743 56567\n2269 3407\n49329 73979\n35735 53588\n35135 52689\n18252 27350\n26074 39102\n9148 13762\n60833 91260\n84618 100000\n36168 54236\n32757 49130\n73649 100000\n56257 84370\n81949 100000\n20170 30253\n6877 10385\n62690 94051\n11397 17160\n59479 89229\n10696 16107\n52012 78023\n19932 29889\n60172 90288\n84006 100000\n35092 52626\n4479 6740\n59742 89638\n51996 78000\n90406 100000\n94164 100000\n47153 70707\n10146 15286\n45590 68321\n70364 100000\n97833 100000\n20204 30304\n33327 49982\n76326 100000\n30388 45535\n57184 85788\n81870 100000\n80476 100000\n69729 100000\n56356 84521\n42736 64034\n59825 89760\n4225 6349\n83245 100000\n49538 74303\n27648 41450\n21099 31631\n2795 4200\n71460 100000\n44219 66254\n404 595\n80449 100000\n49508 74253\n64559 96854\n47446 71150\n89965 100000\n21398 32085\n8449 12720\n37246 55842\n63146 94761\n90896 100000\n62198 93308\n39091 58562\n68389 100000\n12372 18618\n96019 100000\n68926 100000\n21426 32128\n83689 100000\n32109 48149\n4465 6721\n7388 11134\n4559 6858\n99722 100000\n85475 100000\n28248 42348\n54170 81261\n52664 78998\n84996 100000\n12553 18892\n35082 52612\n6015 9086\n19701 29543\n91965 100000\n72952 100000\n41248 61817\n70665 100000\n67012 100000\n70557 100000\n37950 56874\n34254 51366\n36217 54303\n42038 63011\n62840 94284\n75484 100000\n11022 16600\n48013 71998\n27798 41667\n55751 83605\n36472 54697\n2862 4298\n4537 6822\n15958 23941\n37124 55662\n45587 68316\n4923 7422\n57948 86936\n31948 47896\n17401 26106\n80112 100000\n74391 100000\n19455 29169\n30050 45048\n68647 100000\n16615 24929\n26596 39872\n29772 44643\n83813 100000\n56738 85101\n52540 78813\n62204 93318\n71144 100000\n80146 100000\n26912 40339\n27599 41375\n72304 100000\n54885 82303\n76655 100000\n82347 100000\n60522 90805\n36958 55421\n1581 2376\n94849 100000\n19772 29649\n67584 100000\n63588 95398\n8655 13031\n62865 94319\n7968 12009\n32590 48879\n89226 100000\n59329 89007\n40407 60551\n16944 25410\n4416 6647\n50735 76108\n64491 96749\n79960 100000\n77672 100000\n67932 100000\n68571 100000\n48768 73140\n21772 32665\n69482 100000\n82368 100000\n25669 38485\n92228 100000\n58995 88494\n75151 100000\n69960 100000\n28970 43430\n94985 100000\n32043 48053\n7548 11378\n16777 25163\n36710 55053\n9314 14012\n68309 100000\n2808 4220\n34098 51135\n84785 100000\n8569 12908\n73414 100000\n23306 34971\n25055 37569\n19548 29309\n52137 78217\n44115 66105\n68437 100000\n70275 100000\n47830 71735\n27544 41289\n28867 43281\n38778 58097\n93370 100000\n15587 23394\n7822 11789\n31710 47544\n61249 91893\n35561 53328\n55962 83931\n61470 92226\n29900 44827\n95107 100000\n90557 100000\n57536 86320\n1487 2239\n87992 100000\n1444 2172\n15797 23700\n22271 33434\n53074 79614\n71553 100000\n43777 65591\n58690 88040\n70518 100000\n86591 100000\n2509 3767\n16681 25028\n71428 100000\n13694 20560\n38598 57844\n8759 13180\n72602 100000\n6471 9771\n55983 83959\n46301 69422\n27436 41119\n65260 97891\n12317 18538\n14562 21853\n84847 100000\n55085 82598\n85505 100000\n91719 100000\n20470 30691\n60446 90690\n68407 100000\n17552 26334\n56718 85072\n13380 20107\n58790 88189\n73598 100000\n60538 90829\n79591 100000\n13376 20102\n4383 6591\n13306 19994\n62612 93934\n41409 62057\n58478 87722\n41112 61626\n84300 100000\n16985 25477\n92158 100000\n92382 100000\n35982 53960\n96346 100000\n11215 16888\n16110 24173\n8247 12409\n58076 87131\n58208 87329\n57402 86121\n11100 16717\n24086 36121\n16448 24686\n53572 80370\n27092 40609\n43556 65263\n70592 100000\n71974 100000\n83202 100000\n26847 40241\n90223 100000\n97272 100000\n55387 83065\n39083 58549\n58222 87350\n20097 30142\n81101 100000\n1964 2939\n75425 100000\n65041 97570\n56224 84326\n24725 37068\n60550 90849\n56451 84664\n27219 40798\n94746 100000\n45049 67500\n31945 47893\n62523 93794\n7602 11457\n78752 100000\n10726 16158\n91916 100000\n34325 51472\n87275 100000\n51214 76845\n79652 100000\n99414 100000\n50791 76191\n60307 90482\n45623 68378\n62846 94291\n80280 100000\n79621 100000\n91121 100000\n85782 100000\n95781 100000\n42275 63366\n54236 81361\n79740 100000\n46077 69075\n28281 42398\n2953 4443\n71340 100000\n72400 100000\n49576 74363\n53752 80642\n54932 82369\n51041 76581\n73094 100000\n96241 100000\n10322 15549\n73962 100000\n5671 8551\n85886 100000\n41856 62734\n60895 91361\n49214 73800\n78996 100000\n32608 48908\n25766 38636\n79593 100000\n59293 88953\n8634 13001\n64875 97321\n37593 56351\n17608 26417\n3254 4889\n96771 100000\n76166 100000\n61799 92712\n82768 100000\n14832 22256\n96423 100000\n21717 32577\n72380 100000\n24536 36784\n76307 100000\n58973 88462\n11784 17723\n5838 8803\n77612 100000\n66881 100000\n17285 25931\n72199 100000\n81848 100000\n64285 96446\n59410 89128\n69505 100000\n220 326\n91 138\n77307 100000\n81554 100000\n72239 100000\n35616 53410\n60770 91162\n54044 81078\n22537 33819\n30744 46086\n60426 90658\n39512 59192\n70768 100000\n16530 24805\n76330 100000\n84127 100000\n85787 100000\n93948 100000\n39103 58579\n96761 100000\n77609 100000\n42115 63129\n58854 88281\n29572 44339\n44052 66006\n72601 100000\n85012 100000\n10925 16454\n75984 100000\n57560 86353\n75845 100000\n57844 86774\n38844 58198\n59782 89700\n25023 37519\n31403 47081\n93294 100000\n85947 100000\n75483 100000\n18316 27448\n55465 83183\n74374 100000\n62573 93873\n30481 45689\n65111 97674\n48480 72700\n18250 27347\n82579 100000\n26034 39042\n4297 6462\n96566 100000\n51405 77124\n95318 100000\n31892 47820\n27910 41844\n88377 100000\n44366 66478\n47176 70743\n24030 36039\n12717 19143\n45453 68110\n97323 100000\n1810 2709\n88404 100000\n50149 75212\n13017 19570\n3018 4537\n43583 65300\n52917 79375\n35265 52889\n44589 66830\n5787 8727\n65978 98960\n14569 21864\n2704 4063\n64802 97208\n25975 38951\n83664 100000\n31137 46675\n92719 100000\n54597 81879\n12117 18238\n22015 33042\n35214 52812\n9883 14875\n95105 100000\n2267 3404\n33352 50022\n49427 74128\n92418 100000\n56402 84590\n95317 100000\n41223 61783\n57035 85560\n83883 100000\n70533 100000\n75045 100000\n57988 86997\n64723 97101\n31575 47337\n12353 18593\n6830 10313\n32496 48738\n20910 31345\n90745 100000\n76412 100000\n27061 40562\n34519 51773\n82653 100000\n18400 27575\n39142 58634\n587 882\n37361 56014\n23753 35634\n36356 54520\n27023 40503\n82621 100000\n36508 54753\n40379 60510\n6662 10064\n50333 75487\n91221 100000\n27970 41938\n78502 100000\n67371 100000\n5287 7979\n82263 100000\n85167 100000\n15172 22766\n37796 56649\n42188 63236\n75272 100000\n41213 61765\n38026 56987\n39327 58916\n42139 63165\n48192 72270\n7128 10748\n28253 42355\n96452 100000\n39525 59214\n1253 1886\n2345 3526\n74422 100000\n32669 48998\n59887 89852\n77615 100000\n60078 90144\n86652 100000\n27181 40740\n8515 12823\n92692 100000\n49853 74767\n19644 29453\n25320 37957\n16250 24386\n26678 39998\n3417 5137\n8238 12397\n43203 64735\n98966 100000\n52084 78132\n77827 100000\n11740 17667\n62265 93410\n66273 99407\n56982 85477\n77662 100000\n9031 13591\n91147 100000\n25481 38199\n19434 29135\n67566 100000\n6920 10446\n7329 11046\n8871 13345\n92222 100000\n99442 100000\n88646 100000\n68636 100000\n68851 100000\n70342 100000\n727 1087\n29197 43772\n72171 100000\n6555 9901\n89127 100000\n29400 44080\n87775 100000\n39986 59924\n1324 1991\n57117 85685\n62850 94298\n95946 100000\n27515 41246\n77330 100000\n71386 100000\n19000 28488\n13894 20864\n3395 5102\n17985 26964\n74874 100000\n35492 53224\n68956 100000\n4410 6638\n73253 100000\n18227 27311\n96697 100000\n27546 41291\n10619 15994\n79651 100000\n57023 85541\n63447 95194\n78254 100000\n18816 28207\n91158 100000\n3069 4612\n78214 100000\n40125 60128\n55813 83702\n36089 54116\n25592 38369\n732 1094\n49494 74232\n5295 7992\n98018 100000\n9365 14086\n62896 94369\n79052 100000\n38703 57988\n31401 47077\n56754 85127\n34486 51721\n84871 100000\n32446 48659\n62421 93646\n53201 79811\n55897 83830\n2307 3466\n68311 100000\n94455 100000\n18371 27530\n91659 100000\n9333 14038\n37876 56765\n62659 94007\n10891 16401\n26583 39851\n17042 25568\n54482 81716\n68273 100000\n82537 100000\n90206 100000\n24226 36328\n17599 26403\n65221 97835\n51420 77144\n98266 100000\n87286 100000\n45440 68090\n42982 64399\n39202 58731\n62473 93723\n68527 100000\n89264 100000\n47282 70904\n34057 51075\n51615 77434\n15023 22540\n10931 16463\n55514 83258\n13704 20577\n37386 56054\n85944 100000\n26968 40421\n7857 11843\n74683 100000\n23294 34952\n35773 53645\n78760 100000\n74144 100000\n12904 19400\n19121 28672\n5210 7860\n53407 80108\n83783 100000\n65899 98836\n73818 100000\n3518 5284\n86117 100000\n44416 66559\n47717 71564\n49696 74548\n24289 36423\n91612 100000\n69045 100000\n9465 14241\n33470 50208\n14019 21040\n40091 60078\n25855 38770\n45987 68934\n21904 32868\n50939 76425\n68065 100000\n75584 100000\n24686 37008\n45920 68830\n13277 19953\n54510 81758\n73453 100000\n20411 30603\n58395 87602\n99877 100000\n10982 16540\n22020 33050\n69252 100000\n82922 100000\n44123 66115\n20718 31067\n32486 48721\n46226 69300\n41731 62552\n52890 79333\n93390 100000\n36833 55242\n72403 100000\n39797 59631\n47781 71659\n27089 40603\n34403 51596\n90407 100000\n96138 100000\n98184 100000\n26419 39618\n29763 44628\n66538 99808\n54775 82138\n79942 100000\n30004 44985\n89448 100000\n14196 21303\n70880 100000\n63279 94946\n90620 100000\n93746 100000\n91151 100000\n65721 98578\n65444 98166\n17647 26473\n27217 40796\n78263 100000\n66403 99606\n99830 100000\n74670 100000\n29961 44919\n36045 54052\n71260 100000\n63487 95257\n86208 100000\n21663 32493\n14514 21784\n42519 63730\n44865 67232\n98875 100000\n54325 81497\n26064 39087\n33839 50752\n27765 41619\n83050 100000\n74607 100000\n37626 56397\n42730 64026\n26624 39915\n30894 46317\n46413 69595\n60125 90215\n6700 10121\n24123 36176\n50187 75269\n18688 28017\n63913 95894\n75455 100000\n36725 55078\n80869 100000\n62771 94171\n18027 27030\n80653 100000\n33251 49875\n25774 38649\n52365 78553\n73728 100000\n71905 100000\n14972 22465\n24318 36464\n41795 62643\n77099 100000\n28456 42656\n12560 18903\n60108 90188\n35248 52866\n92713 100000\n76771 100000\n91949 100000\n18887 28313\n28350 42499\n63414 95150\n29935 44883\n6029 9107\n15096 22652\n25257 37864\n30111 45138\n20311 30455\n37077 55594\n45801 68648\n14525 21801\n2446 3672\n76311 100000\n13646 20487\n86927 100000\n59662 89515\n4748 7153\n51856 77786\n40821 61174\n85935 100000\n85731 100000\n84120 100000\n75231 100000\n27190 40754\n54589 81868\n45222 67768\n78150 100000\n51509 77270\n39557 59260\n91113 100000\n31404 47083\n62670 94022\n67582 100000\n95007 100000\n82147 100000\n80533 100000\n42570 63799\n94674 100000\n95055 100000\n91165 100000\n80903 100000\n6959 10501\n51331 77019\n13540 20333\n29710 44545\n91948 100000\n61789 92698\n56790 85186\n18653 27960\n3871 5809\n80079 100000\n15212 22833\n28549 42798\n42715 64005\n8743 13158\n14346 21536\n44269 66334\n96043 100000\n56033 84035\n95059 100000\n17807 26713\n67965 100000\n78903 100000\n66378 99569\n85509 100000\n1799 2693\n59668 89525\n81013 100000\n77338 100000\n45651 68421\n9774 14709\n83001 100000\n23902 35847\n37384 56050\n68518 100000\n59857 89810\n20726 31078\n87852 100000\n33518 50274\n93959 100000\n61958 92952\n71817 100000\n30677 45985\n77259 100000\n58954 88434\n28651 42949\n15388 23097\n85921 100000\n18402 27577\n24648 36952\n49563 74341\n18891 28319\n31366 47024\n74571 100000\n81840 100000\n6753 10197\n9000 13541\n80952 100000\n56538 84799\n65763 98638\n91809 100000\n28969 43429\n61250 91894\n73483 100000\n26071 39096\n12141 18277\n77985 100000\n21007 31490\n62170 93268\n84249 100000\n72210 100000\n25148 37705\n30219 45291\n63430 95171\n69419 100000\n93112 100000\n75456 100000\n9732 14641\n46679 69991\n64048 96095\n15943 23917\n89954 100000\n56607 84911\n36193 54272\n13235 19892\n68810 100000\n56816 85222\n96478 100000\n58638 87963\n81887 100000\n8306 12497\n88390 100000\n53965 80957\n62881 94344\n55505 83245\n56009 83997\n87131 100000\n35627 53429\n58385 87588\n76633 100000\n60003 90031\n43381 65000\n35307 52947\n4318 6495\n95756 100000\n96685 100000\n87574 100000\n93447 100000\n19016 28512\n58241 87379\n83008 100000\n54538 81793\n52489 78734\n76011 100000\n41500 62200\n11872 17862\n17618 26430\n90473 100000\n6061 9156\n96437 100000\n27403 41069\n81437 100000\n73679 100000\n23464 35200\n67999 100000\n40577 60802\n49513 74260\n33897 50832\n90293 100000\n76712 100000\n94135 100000\n62957 94466\n3490 5247\n51274 76932\n41480 62166\n55832 83731\n54696 82025\n19559 29326\n28444 42638\n51287 76952\n2965 4456\n6249 9439\n22196 33318\n32132 48182\n97887 100000\n83581 100000\n77457 100000\n66760 100000\n49594 74390\n96553 100000\n6884 10395\n26937 40377\n9265 13937\n47690 71524\n62489 93746\n75310 100000\n60644 90981\n74498 100000\n48789 73172\n77085 100000\n82862 100000\n74808 100000\n99568 100000\n55424 83120\n7951 11985\n12668 19065\n68934 100000\n46058 69045\n17534 26307\n33351 50020\n50048 75062\n98123 100000\n19867 29789\n71809 100000\n72718 100000\n24978 37447\n68052 100000\n19673 29499\n37643 56423\n18425 27609\n74007 100000\n85850 100000\n46430 69619\n95901 100000\n71583 100000\n68537 100000\n52251 78386\n67984 100000\n82578 100000\n29983 44951\n28029 42033\n71656 100000\n4638 6979\n40055 60022\n71621 100000\n63329 95017\n25130 37682\n14399 21615\n93103 100000\n45672 68458\n61069 91624\n72957 100000\n44229 66271\n66145 99218\n70981 100000\n80187 100000\n69372 100000\n38147 57163\n51637 77469\n27901 41830\n59302 88967\n66546 99822\n76077 100000\n57848 86781\n88544 100000\n97845 100000\n8486 12779\n33032 49550\n60204 90335\n54937 82377\n34078 51106\n37298 55925\n94603 100000\n59813 89743\n25133 37686\n60369 90571\n53769 80669\n62047 93084\n55774 83643\n90869 100000\n91944 100000\n12867 19350\n58551 87832\n36111 54151\n57109 85670\n49210 73792\n74651 100000\n91457 100000\n70846 100000\n81159 100000\n48308 72443\n57623 86448\n8845 13306\n93930 100000\n323 472\n52456 78689\n21103 31637\n41199 61746\n34442 51650\n41590 62337\n44064 66024\n30687 46000\n61825 92754\n536 802\n47445 71149\n27761 41613\n74206 100000\n30106 45131\n95149 100000\n95958 100000\n54960 82409\n79775 100000\n22279 33447\n42963 64371\n18463 27666\n17910 26863\n88679 100000\n776 1165\n94537 100000\n39622 59360\n16996 25492\n29957 44915\n88516 100000\n62342 93526\n26460 39673\n60005 90035\n30797 46171\n40777 61109\n92205 100000\n94026 100000\n60881 91338\n58277 87432\n48549 72810\n82127 100000\n97362 100000\n66502 99754\n76597 100000\n32037 48044\n36197 54276\n2585 3886\n55815 83705\n1645 2468\n73897 100000\n68897 100000\n1156 1745\n12932 19439\n65578 98368\n23296 34956\n79341 100000\n41418 62072\n65286 97927\n6625 10005\n96095 100000\n73294 100000\n93855 100000\n36577 54857\n44083 66057\n97487 100000\n60258 90412\n10943 16481\n68408 100000\n86141 100000\n77938 100000\n29073 43586\n46911 70350\n89117 100000\n60872 91322\n56112 84150\n25072 37594\n43415 65052\n17761 26642\n21562 32328\n23635 35460\n41644 62422\n54786 82153\n38802 58133\n66557 99839\n38307 57408\n28007 41998\n62021 93048\n13385 20114\n74016 100000\n55441 83147\n67293 100000\n33913 50854\n85504 100000\n68819 100000\n12177 18331\n98394 100000\n15723 23596\n2093 3139\n88596 100000\n19390 29069\n75652 100000\n88192 100000\n9232 13885\n38457 57633\n92471 100000\n87758 100000\n40548 60760\n30845 46243\n40554 60768\n78639 100000\n18460 27662\n28390 42557\n14843 22272\n63687 95548\n68575 100000\n30151 45194\n11282 16988\n87928 100000\n40255 60322\n68584 100000\n95991 100000\n87560 100000\n57098 85652\n27768 41625\n67695 100000\n11337 17065\n67826 100000\n16899 25343\n57869 86811\n89320 100000\n63573 95379\n82007 100000\n89033 100000\n713 1061\n17781 26674\n87777 100000\n62510 93773\n66826 100000\n28617 42899\n43597 65324\n39834 59689\n18940 28390\n55529 83279\n5802 8748\n6749 10192\n84216 100000\n38896 58279\n18560 27812\n39636 59377\n88033 100000\n66645 99974\n67374 100000\n59994 90017\n95532 100000\n70177 100000\n27678 41490\n28587 42851\n86888 100000\n68313 100000\n61676 92528\n6051 9140\n72704 100000\n77738 100000\n11323 17046\n93382 100000\n22054 33102\n76191 100000\n76185 100000\n82785 100000\n57154 85739\n90983 100000\n56794 85192\n90481 100000\n46221 69291\n33050 49578\n91924 100000\n38913 58305\n97797 100000\n95427 100000\n66616 99925\n60483 90743\n32431 48635\n59301 88965\n27713 41544\n853 1281\n19063 28584\n55526 83274\n93995 100000\n41396 62036\n13925 20909\n90857 100000\n71280 100000\n69632 100000\n75001 100000\n60762 91151\n21214 31807\n81965 100000\n56416 84611\n22626 33949\n20959 31421\n74406 100000\n66358 99539\n19171 28748\n64004 96030\n36422 54622\n43086 64558\n71401 100000\n1303 1960\n16542 24821\n49893 74828\n54644 81945\n51946 77920\n3282 4935\n88459 100000\n16522 24794\n6556 9902\n2991 4495\n43011 64444\n23466 35203\n65924 98874\n33248 49870\n25725 38575\n22308 33486\n98562 100000\n42229 63294\n51561 77352\n13130 19740\n19205 28801\n70391 100000\n96082 100000\n47293 70920\n37182 55744\n94176 100000\n19895 29835\n46642 69936\n95985 100000\n48805 73194\n28997 43470\n21201 31787\n61503 92276\n88190 100000\n61669 92518\n39092 58563\n52348 78528\n33006 49509\n94661 100000\n33103 49662\n64371 96576\n45349 67954\n84156 100000\n53915 80885\n20531 30787\n83416 100000\n9379 14105\n60694 91060\n97897 100000\n92940 100000\n71241 100000\n69363 100000\n32495 48737\n63367 95075\n11197 16861\n81777 100000\n64567 96866\n36690 55021\n99347 100000\n72111 100000\n24350 36509\n48745 73108\n45842 68709\n77788 100000\n43212 64750\n45942 68865\n67777 100000\n91019 100000\n29939 44889\n82586 100000\n99625 100000\n74420 100000\n49314 73957\n9938 14968\n35574 53347\n20225 30336\n49986 74970\n51213 76844\n50548 75814\n7254 10935\n61854 92799\n73791 100000\n73915 100000\n46539 69786\n91251 100000\n33945 50901\n73128 100000\n3188 4789\n7439 11213\n28402 42575\n83025 100000\n86413 100000\n83153 100000\n23194 34797\n5971 9021\n23048 34584\n3626 5446\n77745 100000\n11112 16734\n58536 87810\n95148 100000\n63937 95929\n46148 69179\n16275 24422\n40156 60176\n15665 23512\n535 801\n11599 17464\n33612 50410\n96847 100000\n14801 22209\n98101 100000\n94578 100000\n52136 78215\n56596 84894\n4658 7011\n30778 46139\n5218 7871\n1377 2073\n5078 7658\n48501 72736\n33982 50963\n96496 100000\n85270 100000\n25341 37986\n32605 48903\n71153 100000\n76262 100000\n90277 100000\n14805 22216\n6186 9341\n16623 24942\n46338 69480\n93806 100000\n70053 100000\n87512 100000\n90771 100000\n51548 77330\n3609 5420\n76681 100000\n64247 96387\n78324 100000\n30835 46228\n26659 39970\n4067 6103\n87397 100000\n82821 100000\n20357 30522\n5001 7541\n66427 99638\n30469 45665\n75840 100000\n15829 23746\n2927 4402\n32517 48772\n47646 71459\n12452 18738\n79059 100000\n91038 100000\n54441 81654\n29753 44615\n81174 100000\n62418 93642\n16304 24471\n16932 25389\n98487 100000\n45521 68213\n85720 100000\n33859 50781\n62312 93479\n87651 100000\n79120 100000\n31000 46472\n25196 37778\n55954 83918\n39661 59418\n5937 8967\n56324 84478\n86033 100000\n14671 22018\n73115 100000\n35288 52921\n64290 96454\n31876 47794\n56990 85490\n29318 43956\n76288 100000\n4111 6173\n60622 90950\n27295 40910\n21386 32065\n11037 16623\n9038 13602\n52768 79148\n74911 100000\n2517 3779\n58392 87597\n15540 23323\n47046 70553\n12748 19184\n18287 27403\n11325 17049\n68642 100000\n90214 100000\n31659 47464\n7437 11210\n90289 100000\n31212 46789\n14682 22035\n16300 24463\n26315 39463\n62155 93248\n97285 100000\n89423 100000\n7146 10776\n49555 74329\n13031 19594\n40538 60744\n35831 53731\n84171 100000\n29221 43809\n50373 75549\n38275 57361\n38273 57357\n49792 74680\n21449 32162\n40285 60369\n32000 47983\n32409 48603\n31394 47065\n65757 98631\n3008 4521\n69760 100000\n6305 9526\n57454 86196\n69692 100000\n91471 100000\n19062 28582\n52747 79120\n38371 57504\n18424 27608\n25916 38863\n10321 15547\n86118 100000\n47379 71049\n45441 68092\n65929 98882\n90480 100000\n64609 96926\n4826 7272\n11071 16672\n17356 26039\n4513 6786\n73338 100000\n77470 100000\n82576 100000\n35685 53512\n86906 100000\n18726 28077\n67283 100000\n29847 44749\n96507 100000\n52300 78456\n40712 61003\n61954 92945\n35427 53129\n4543 6831\n59363 89061\n32355 48517\n96041 100000\n6636 10023\n34621 51931\n79525 100000\n60780 91177\n90885 100000\n99782 100000\n60684 91044\n38525 57738\n70835 100000\n55881 83808\n47440 71143\n66365 99548\n86496 100000\n90116 100000\n23858 35781\n72001 100000\n76384 100000\n38678 57954\n70509 100000\n50137 75195\n99197 100000\n29912 44846\n53270 79910\n59914 89893\n54463 81686\n42378 63522\n10252 15446\n91491 100000\n46252 69345\n51986 77981\n9456 14227\n88996 100000\n56182 84263\n52337 78512\n19221 28823\n7539 11362\n62532 93808\n35824 53720\n64111 96189\n72998 100000\n94589 100000\n95141 100000\n65620 98432\n11887 17884\n26636 39934\n85557 100000\n51009 76537\n51738 77613\n20382 30561\n85443 100000\n51466 77208\n11369 17118\n3674 5517\n84206 100000\n93793 100000\n67495 100000\n1528 2302\n26453 39665\n70257 100000\n26326 39477\n59576 89385\n15851 23777\n83101 100000\n90592 100000\n70648 100000\n667 994\n74073 100000\n95429 100000\n43786 65605\n81481 100000\n18218 27299\n26587 39857\n74395 100000\n99578 100000\n22984 34491\n8577 12919\n8316 12511\n98550 100000\n20870 31285\n11125 16752\n25884 38813\n4546 6836\n82403 100000\n86764 100000\n36028 54029\n61345 92039\n6163 9304\n40793 61134\n11014 16589\n96811 100000\n98841 100000\n70984 100000\n27277 40883\n68233 100000\n77483 100000\n41509 62215\n23147 34728\n28309 42438\n67261 100000\n85673 100000\n3480 5232\n87121 100000\n87100 100000\n66137 99206\n92308 100000\n82229 100000\n26279 39409\n82427 100000\n4466 6722\n98478 100000\n7476 11269\n23974 35960\n25691 38523\n53522 80287\n14179 21278\n42325 63440\n60464 90715\n7338 11060\n41640 62415\n38898 58282\n29981 44948\n86654 100000\n54833 82225\n71557 100000\n66265 99393\n64503 96768\n94522 100000\n5679 8563\n16671 25014\n52166 78260\n12229 18410\n91557 100000\n67830 100000\n76060 100000\n64767 97162\n84917 100000\n71677 100000\n37104 55631\n68913 100000\n80224 100000\n17316 25981\n96635 100000\n235 346\n20603 30905\n84921 100000\n15064 22600\n63133 94739\n51597 77408\n12842 19318\n33548 50315\n70127 100000\n36702 55039\n69814 100000\n34723 52085\n49544 74313\n73114 100000\n10379 15635\n61068 91622\n18172 27236\n53667 80514\n34253 51365\n6072 9170\n81722 100000\n59844 89792\n60398 90613\n61451 92198\n51698 77560\n5981 9037\n17722 26583\n51788 77688\n38145 57160\n56943 85416\n6017 9089\n67739 100000\n38993 58422\n48492 72720\n36992 55471\n38612 57865\n45683 68474\n45652 68423\n48725 73078\n11814 17769\n20686 31020\n63789 95704\n8414 12668\n65433 98149\n24391 36571\n73098 100000\n15810 23720\n32248 48357\n32589 48878\n88628 100000\n56789 85184\n15238 22872\n79834 100000\n70043 100000\n29479 44199\n56672 85007\n66463 99696\n67491 100000\n31453 47159\n74441 100000\n61192 91808\n29126 43664\n8507 12809\n89629 100000\n55731 83575\n56331 84489\n6261 9452\n33018 49530\n72204 100000\n95143 100000\n5507 8306\n85282 100000\n20093 30137\n36832 55240\n34577 51866\n70088 100000\n84438 100000\n38880 58253\n45785 68627\n47318 70956\n99908 100000\n45216 67759\n94509 100000\n7307 11014\n52353 78536\n67343 100000\n21237 31838\n12621 18993\n50975 76483\n6938 10473\n29420 44113\n91272 100000\n26057 39078\n44485 66665\n69462 100000\n6004 9072\n15591 23402\n32931 49390\n83863 100000\n47094 70619\n53354 80024\n45927 68839\n62962 94475\n98431 100000\n81841 100000\n12507 18823\n93764 100000\n7841 11820\n14741 22119\n9658 14527\n17883 26829\n81893 100000\n84433 100000\n68096 100000\n86651 100000\n25748 38609\n43037 64484\n25913 38857\n60031 90069\n81886 100000\n75013 100000\n24778 37147\n79709 100000\n66208 99307\n64015 96045\n74964 100000\n69387 100000\n28142 42191\n26442 39649\n94847 100000\n62303 93465\n54802 82175\n7765 11705\n71053 100000\n13036 19603\n14017 21038\n9377 14102\n18852 28261\n61866 92819\n79919 100000\n27689 41508\n82003 100000\n8176 12311\n65600 98400\n87481 100000\n14501 21765\n77669 100000\n73282 100000\n33330 49987\n66607 99911\n62484 93740\n67035 100000\n67359 100000\n4544 6833\n25386 38058\n65730 98592\n65644 98466\n10527 15847\n48140 72186\n21128 31676\n29275 43893\n95290 100000\n41579 62318\n46999 70487\n45654 68427\n27745 41590\n80940 100000\n12990 19530\n42240 63311\n60591 90905\n56695 85037\n43856 65712\n7152 10783\n8217 12368\n63690 95551\n8186 12325\n77055 100000\n1711 2569\n41377 62007\n84561 100000\n69611 100000\n33145 49724\n35940 53895\n77610 100000\n49268 73883\n26797 40169\n65156 97743\n68064 100000\n92072 100000\n11445 17234\n56307 84452\n91582 100000\n84267 100000\n63458 95211\n52519 78779\n39735 59531\n19829 29731\n97895 100000\n11561 17403\n59953 89955\n28258 42363\n37496 56211\n2482 3723\n212 315\n57391 86103\n53361 80034\n23971 35956\n86270 100000\n1583 2378\n77019 100000\n15352 23045\n20772 31146\n14852 22283\n5003 7543\n83254 100000\n93721 100000\n46337 69479\n88962 100000\n60018 90052\n10372 15624\n59240 88872\n69444 100000\n72015 100000\n23241 34872\n29156 43710\n42265 63351\n64998 97507\n71131 100000\n68411 100000\n3891 5843\n93054 100000\n13674 20529\n16717 25081\n25316 37952\n52024 78042\n59577 89386\n82220 100000\n84404 100000\n18565 27819\n60715 91091\n12696 19108\n32176 48249\n32443 48654\n85985 100000\n40660 60926\n63034 94584\n99956 100000\n28184 42250\n7428 11195\n89464 100000\n66037 99053\n96369 100000\n73729 100000\n18857 28267\n14778 22172\n75940 100000\n86414 100000\n22511 33782\n57725 86604\n15550 23336\n63867 95824\n4845 7302\n70815 100000\n55613 83403\n82580 100000\n98238 100000\n48838 73241\n83945 100000\n49280 73902\n39262 58819\n41253 61823\n96038 100000\n1058 1589\n74723 100000\n11274 16978\n34390 51577\n40041 60000\n70117 100000\n13275 19950\n98432 100000\n7868 11861\n92365 100000\n14280 21431\n69476 100000\n32260 48374\n57096 85649\n64036 96076\n56123 84166\n30513 45737\n46452 69655\n28599 42870\n19586 29367\n32403 48591\n79206 100000\n96361 100000\n46459 69664\n74654 100000\n89024 100000\n6626 10006\n40677 60950\n15028 22547\n84911 100000\n97821 100000\n97129 100000\n38115 57116\n39837 59693\n6154 9291\n1489 2243\n43353 64962\n26004 38996\n11961 18002\n52529 78797\n77403 100000\n32032 48037\n34156 51220\n10733 16168\n72283 100000\n7735 11663\n41688 62486\n63107 94699\n65013 97528\n87771 100000\n44645 66906\n37436 56121\n15522 23297\n1963 2937\n41587 62332\n87656 100000\n49078 73594\n4597 6917\n84858 100000\n4971 7497\n78467 100000\n75218 100000\n84961 100000\n76481 100000\n54148 81232\n10530 15851\n38031 56994\n21045 31553\n14986 22485\n14824 22245\n93938 100000\n929 1396\n19539 29297\n73910 100000\n64607 96924\n14773 22165\n43572 65284\n28145 42196\n57017 85531\n16412 24633\n89111 100000\n75256 100000\n11895 17895\n29931 44877\n5622 8480\n59836 89777\n18263 27368\n70561 100000\n68695 100000\n96085 100000\n82956 100000\n5824 8781\n54375 81568\n76620 100000\n79082 100000\n16259 24398\n17138 25712\n40006 59948\n37411 56088\n47692 71527\n62927 94417\n573 860\n69617 100000\n31953 47906\n77802 100000\n93623 100000\n25398 38077\n24703 37033\n28 40\n1124 1692\n4080 6124\n59033 88551\n83899 100000\n73197 100000\n3270 4914\n71503 100000\n89814 100000\n21186 31765\n22051 33097\n79560 100000\n84117 100000\n37800 56656\n14708 22071\n56321 84473\n41178 61715\n840 1262\n2052 3074\n87678 100000\n20332 30485\n62322 93494\n68673 100000\n77537 100000\n7138 10765\n70380 100000\n62082 93139\n99311 100000\n33661 50488\n26984 40444\n25238 37836\n40873 61252\n72102 100000\n44651 66915\n91388 100000\n18118 27158\n39954 59872\n69159 100000\n29483 44205\n10505 15817\n26048 39064\n77495 100000\n27808 41683\n50615 75915\n59616 89448\n78261 100000\n26180 39263\n99004 100000\n27604 41384\n18608 27883\n6810 10284\n17085 25634\n78076 100000\n71579 100000\n86902 100000\n11268 16968\n37720 56534\n24575 36843\n59024 88536\n83563 100000\n85591 100000\n2645 3974\n54834 82227\n92945 100000\n82295 100000\n80381 100000\n45956 68884\n29913 44848\n17849 26775\n51461 77200\n67019 100000\n54200 81305\n84287 100000\n63102 94690\n52960 79435\n38783 58105\n49668 74502\n67006 100000\n5978 9032\n69145 100000\n86401 100000\n66104 99157\n62902 94378\n59603 89427\n40021 59972\n73508 100000\n40509 60696\n91233 100000\n27286 40897\n16466 24714\n99256 100000\n18408 27587\n64134 96220\n99800 100000\n6433 9716\n17104 25660\n50240 75348\n73890 100000\n1442 2170\n32097 48133\n88801 100000\n95905 100000\n98876 100000\n50921 76397\n28784 43143\n35935 53887\n37963 56891\n25181 37752\n15048 22577\n56043 84050\n18185 27254\n43590 65313\n66648 99978\n14210 21325\n89436 100000\n92143 100000\n80845 100000\n82757 100000\n72692 100000\n79416 100000\n72809 100000\n52336 78511\n12263 18463\n20883 31305\n81137 100000\n35409 53099\n95167 100000\n1854 2775\n29464 44177\n14938 22410\n63751 95648\n31714 47552\n71078 100000\n99076 100000\n48900 73339\n75878 100000\n48741 73101\n1297 1950\n3433 5162\n99499 100000\n74895 100000\n92179 100000\n85339 100000\n4720 7108\n98702 100000\n45669 68453\n2983 4482\n23156 34741\n62399 93613\n79725 100000\n53681 80534\n77147 100000\n19980 29965\n95873 100000\n60825 91246\n59450 89188\n84089 100000\n60269 90428\n39747 59550\n19161 28733\n39739 59538\n30268 45363\n59853 89805\n44854 67214\n97426 100000\n42460 63647\n24413 36603\n90451 100000\n35770 53641\n77224 100000\n53192 79798\n27831 41723\n94677 100000\n57968 86964\n87001 100000\n31833 47730\n98830 100000\n45692 68490\n56437 84641\n49976 74954\n13250 19915\n17026 25542\n9310 14006\n63951 95949\n9881 14871\n96050 100000\n89828 100000\n22097 33163\n75092 100000\n66279 99417\n52093 78146\n89615 100000\n78288 100000\n38198 57241\n92723 100000\n40408 60553\n50938 76423\n64353 96550\n46037 69012\n73326 100000\n23046 34580\n52224 78344\n42828 64167\n93345 100000\n58482 87728\n24284 36414\n39769 59586\n42082 63076\n49069 73584\n96237 100000\n76596 100000\n1503 2265\n46495 69716\n59732 89624\n4969 7493\n53262 79897\n76543 100000\n30746 46090\n51539 77318\n61760 92658\n30001 44981\n33994 50982\n57399 86115\n30165 45215\n8601 12954\n83959 100000\n65848 98761\n75544 100000\n3701 5555\n82077 100000\n60160 90268\n66918 100000\n42825 64163\n32387 48566\n16359 24557\n60569 90876\n3812 5721\n40391 60527\n8528 12843\n27944 41892\n60284 90446\n22361 33561\n75885 100000\n90873 100000\n77051 100000\n15817 23729\n77183 100000\n20419 30613\n31365 47022\n78840 100000\n81994 100000\n51944 77918\n54471 81700\n95325 100000\n20734 31090\n55847 83754\n84037 100000\n11241 16929\n46777 70145\n21743 32615\n20334 30488\n98560 100000\n53747 80633\n12093 18200\n55707 83543\n69831 100000\n79193 100000\n58308 87479\n27203 40775\n60129 90221\n37972 56907\n37777 56621\n55574 83344\n85664 100000\n28743 43086\n68450 100000\n31846 47751\n9656 14523\n81236 100000\n10781 16236\n52837 79254\n31070 46578\n9830 14794\n21548 32307\n51121 76701\n82068 100000\n44466 66637\n40874 61254\n60615 90939\n86814 100000\n51618 77437\n57007 85515\n82689 100000\n48066 72081\n66976 100000\n55945 83906\n17796 26695\n70753 100000\n17261 25895\n92266 100000\n49655 74479\n5382 8124\n86597 100000\n4534 6816\n25503 38232\n60557 90859\n1726 2591\n50529 75787\n91579 100000\n23397 35103\n45457 68117\n43969 65881\n64959 97447\n16736 25108\n68452 100000\n62067 93115\n17661 26493\n25396 38073\n96431 100000\n24398 36581\n26359 39527\n53741 80625\n49907 74849\n56958 85438\n32450 48665\n2803 4212\n20756 31125\n16270 24415\n44815 67153\n75017 100000\n66932 100000\n44868 67236\n41609 62369\n49562 74340\n91234 100000\n78190 100000\n1212 1822\n38504 57706\n8548 12877\n50935 76419\n42183 63228\n96367 100000\n3472 5221\n10749 16191\n31679 47494\n66627 99942\n38623 57881\n10633 16016\n90600 100000\n81300 100000\n35871 53794\n79497 100000\n84617 100000\n45050 67502\n20006 30008\n61986 92995\n26873 40281\n14606 21923\n35717 53555\n51361 77063\n69209 100000\n70975 100000\n79204 100000\n62738 94123\n54916 82347\n31113 46642\n17416 26128\n83297 100000\n31727 47572\n34710 52069\n20050 30072\n39803 59642\n72951 100000\n21863 32808\n38609 57860\n19482 29208\n76537 100000\n32348 48507\n86249 100000\n26911 40338\n29531 44279\n44384 66505\n92078 100000\n14599 21913\n38653 57918\n10780 16234\n49394 74079\n78103 100000\n47784 71664\n52478 78719\n99734 100000\n7633 11502\n27210 40785\n13580 20390\n88167 100000\n15685 23541\n80246 100000\n5163 7790\n17558 26343\n30660 45958\n32977 49464\n1809 2707\n74338 100000\n92910 100000\n80532 100000\n5482 8270\n50054 75071\n15241 22877\n69403 100000\n10037 15123\n29782 44656\n14584 21890\n52352 78535\n95300 100000\n55247 82845\n9939 14970\n15894 23845\n59599 89421\n10373 15625\n92791 100000\n84723 100000\n6946 10485\n12574 18925\n66007 99007\n21413 32106\n61775 92679\n6971 10521\n55755 83613\n17853 26782\n74867 100000\n81373 100000\n11837 17809\n15949 23928\n78413 100000\n59796 89719\n10173 15329\n57730 86609\n51648 77485\n39388 59008\n88266 100000\n79100 100000\n15404 23119\n43318 64914\n79638 100000\n22238 33387\n33055 49586\n38614 57868\n14876 22318\n34766 52148\n71309 100000\n91224 100000\n22050 33096\n51081 76641\n9419 14169\n96540 100000\n14670 22016\n30271 45368\n46024 68991\n75825 100000\n17146 25725\n7345 11069\n39272 58833\n80805 100000\n11068 16667\n70633 100000\n8101 12203\n74835 100000\n3345 5026\n50614 75913\n20425 30622\n21534 32287\n86017 100000\n39856 59724\n99918 100000\n15554 23343\n1105 1662\n26576 39842\n26200 39289\n12640 19019\n69076 100000\n8995 13533\n1594 2394\n54719 82058\n72842 100000\n17267 25903\n16670 25013\n35401 53090\n28027 42030\n75268 100000\n15733 23609\n99680 100000\n37189 55756\n93443 100000\n75010 100000\n43120 64613\n5653 8525\n85982 100000\n70657 100000\n97993 100000\n48383 72553\n50158 75224\n5803 8749\n25941 38901\n38682 57960\n68940 100000\n35844 53751\n50335 75489\n8373 12601\n92816 100000\n86883 100000\n97559 100000\n93976 100000\n95851 100000\n91253 100000\n10066 15167\n49002 73487\n66413 99619\n36269 54387\n12404 18665\n43741 65540\n42104 63112\n30142 45181\n70784 100000\n8362 12583\n60412 90636\n48142 72189\n93049 100000\n96259 100000\n32138 48192\n38161 57185\n32306 48448\n67268 100000\n8087 12182\n70963 100000\n38487 57676\n47267 70882\n68733 100000\n81296 100000\n72882 100000\n26478 39700\n79755 100000\n359 527\n45394 68024\n74462 100000\n56910 85367\n19488 29216\n44060 66018\n38197 57239\n56750 85121\n8075 12163\n44381 66501\n53971 80965\n8544 12870\n20012 30016\n88335 100000\n96493 100000\n40323 60423\n68480 100000\n95281 100000\n72823 100000\n56154 84217\n39860 59729\n1040 1563\n1690 2541\n38816 58155\n78934 100000\n11010 16583\n10957 16503\n65065 97602\n69271 100000\n27297 40913\n4267 6417\n13997 21010\n4910 7400\n78461 100000\n14886 22332\n98974 100000\n19922 29875\n62822 94253\n32303 48443\n93024 100000\n76911 100000\n63210 94851\n41369 61995\n5835 8800\n17160 25747\n4909 7398\n12004 18065\n51841 77766\n33469 50206\n31367 47026\n29654 44461\n7296 10998\n15842 23764\n45056 67512\n52433 78655\n59830 89769\n95649 100000\n98208 100000\n29291 43917\n55045 82533\n29909 44841\n6166 9310\n15791 23692\n60000 90027\n53194 79801\n21694 32544\n38070 57049\n27245 40836\n40753 61068\n91650 100000\n26001 38991\n20897 31325\n20907 31340\n2044 3061\n98576 100000\n13921 20903\n74663 100000\n28624 42908\n41329 61932\n48578 72856\n66640 99964\n31119 46650\n39342 58937\n23687 35537\n75294 100000\n30251 45339\n5549 8369\n60176 90294\n10409 15678\n60910 91381\n5704 8604\n54590 81869\n94879 100000\n50272 75397\n21190 31770\n31303 46929\n32798 49192\n38149 57166\n9597 14435\n21401 32090\n82302 100000\n58022 87048\n87801 100000\n98696 100000\n23814 35719\n96397 100000\n80847 100000\n60773 91167\n75107 100000\n8494 12791\n35957 53922\n32122 48168\n40297 60388\n48413 72598\n86215 100000\n10426 15702\n34229 51330\n907 1360\n76949 100000\n5976 9029\n39600 59325\n79934 100000\n69153 100000\n28134 42176\n86617 100000\n55947 83908\n66453 99680\n65773 98654\n13274 19949\n48707 73052\n73988 100000\n70934 100000\n30064 45067\n82029 100000\n90463 100000\n51620 77441\n14304 21470\n12475 18776\n98866 100000\n47527 71275\n870 1307\n15489 23242\n72096 100000\n63562 95363\n70334 100000\n16004 24012\n35822 53717\n59877 89837\n85392 100000\n43161 64669\n15371 23074\n6822 10300\n198 294\n78930 100000\n11434 17215\n19348 29010\n26075 39104\n75114 100000\n48119 72156\n6183 9336\n53411 80115\n79745 100000\n11129 16759\n62063 93109\n50364 75535\n15975 23967\n38375 57511\n22949 34436\n20464 30683\n52389 78587\n10208 15379\n89848 100000\n52941 79407\n80491 100000\n78543 100000\n71498 100000\n29711 44547\n7801 11761\n73341 100000\n17921 26878\n87588 100000\n11460 17257\n84582 100000\n71156 100000\n12136 18267\n35346 53004\n22726 34097\n69125 100000\n41634 62406\n82577 100000\n54254 81387\n14385 21594\n17395 26098\n55656 83466\n62662 94010\n50447 75661\n54883 82300\n88959 100000\n97130 100000\n89078 100000\n24238 36347\n26617 39904\n25927 38881\n67269 100000\n26988 40450\n24976 37444\n82953 100000\n27010 40482\n83847 100000\n50280 75410\n24937 37384\n19717 29568\n57144 85726\n71630 100000\n8551 12880\n92587 100000\n38180 57217\n88099 100000\n86479 100000\n41968 62907\n30866 46276\n33099 49656\n85192 100000\n46351 69500\n43826 65667\n30094 45114\n99177 100000\n69049 100000\n11411 17180\n53956 80943\n21343 31997\n99255 100000\n48982 73458\n92613 100000\n4082 6128\n21809 32723\n6599 9970\n58463 87702\n60952 91448\n42501 63702\n14672 22019\n59849 89800\n91935 100000\n79028 100000\n50382 75564\n21063 31579\n46658 69958\n60250 90401\n68368 100000\n18499 27723\n69242 100000\n84539 100000\n50928 76407\n71584 100000\n31577 47340\n39344 58941\n71881 100000\n31815 47705\n47490 71222\n73976 100000\n91952 100000\n89453 100000\n1606 2411\n89357 100000\n64492 96751\n29108 43636\n46981 70455\n41423 62080\n12978 19512\n7756 11693\n31006 46482\n56084 84108\n42932 64323\n80688 100000\n27324 40952\n86672 100000\n99028 100000\n86165 100000\n84172 100000\n40338 60447\n2257 3389\n77202 100000\n90316 100000\n87021 100000\n15764 23652\n95172 100000\n29095 43617\n27026 40508\n97676 100000\n36911 55354\n58362 87556\n7320 11033\n49148 73700\n68960 100000\n58760 88142\n56904 85358\n43848 65702\n18310 27439\n34050 51065\n64705 97075\n4447 6697\n7150 10780\n29877 44791\n58343 87532\n91177 100000\n36993 55472\n85156 100000\n12000 18060\n4478 6738\n48197 72277\n74333 100000\n41532 62250\n72634 100000\n25063 37582\n53037 79553\n90306 100000\n68213 100000\n7031 10604\n43039 64487\n40078 60058\n49560 74337\n63971 95982\n13203 19845\n23024 34547\n24420 36614\n12637 19015\n9529 14336\n83746 100000\n93842 100000\n41595 62346\n31176 46735\n62869 94324\n6191 9348\n72794 100000\n86034 100000\n53221 79840\n61726 92611\n87924 100000\n82406 100000\n80923 100000\n95669 100000\n32110 48151\n40930 61341\n35999 53986\n62293 93450\n10392 15655\n66935 100000\n5405 8156\n71965 100000\n73635 100000\n25278 37894\n83781 100000\n49265 73879\n1798 2691\n7828 11800\n98991 100000\n35861 53777\n89744 100000\n81506 100000\n86074 100000\n418 617\n4717 7104\n50473 75701\n8814 13266\n53171 79762\n86734 100000\n65587 98381\n61346 92041\n37620 56390\n46396 69568\n38216 57268\n86342 100000\n96741 100000\n99296 100000\n5631 8493\n84057 100000\n62574 93875\n37776 56619\n94493 100000\n33771 50650\n74527 100000\n33530 50292\n86599 100000\n94089 100000\n24041 36058\n19025 28527\n93770 100000\n6557 9904\n36887 55318\n17503 26259\n41672 62461\n29491 44218\n41035 61509\n59756 89660\n89168 100000\n56485 84717\n88080 100000\n3623 5440\n54203 81309\n48367 72528\n6436 9721\n40076 60055\n38854 58214\n67857 100000\n35372 53048\n2599 3904\n1681 2528\n45932 68848\n35939 53893\n61649 92489\n5031 7585\n74103 100000\n81335 100000\n15595 23409\n65349 98023\n69563 100000\n57865 86806\n20745 31108\n82045 100000\n33371 50051\n22550 33841\n205 303\n70433 100000\n70076 100000\n33946 50903\n83318 100000\n8303 12491\n79313 100000\n69817 100000\n97254 100000\n99320 100000\n97063 100000\n78870 100000\n7489 11288\n38333 57447\n70217 100000\n4058 6088\n10133 15269\n70461 100000\n4708 7091\n19506 29244\n94486 100000\n49601 74402\n5353 8081\n79928 100000\n11310 17027\n84020 100000\n26752 40104\n35113 52655\n69410 100000\n56180 84259\n58739 88114\n39753 59561\n48650 72967\n94320 100000\n48601 72892\n22590 33899\n65989 98977\n26016 39015\n64477 96731\n80009 100000\n10589 15946\n20444 30650\n57349 86039\n74614 100000\n29990 44964\n80660 100000\n93940 100000\n80998 100000\n24058 36081\n71746 100000\n29770 44641\n29217 43803\n60903 91373\n84515 100000\n13079 19666\n69290 100000\n71734 100000\n23051 34588\n48929 73381\n57052 85584\n87502 100000\n17252 25882\n4378 6582\n5860 8838\n34477 51706\n539 808\n7869 11862\n30351 45483\n13495 20267\n34509 51756\n48580 72860\n12218 18392\n44432 66584\n28853 43258\n24709 37042\n62493 93752\n37462 56157\n40578 60804\n78816 100000\n43946 65846\n58413 87629\n87695 100000\n55928 83880\n51317 76996\n17657 26488\n97796 100000\n60789 91188\n99023 100000\n24588 36858\n56724 85079\n87188 100000\n44736 67039\n40596 60830\n25090 37621\n98787 100000\n1873 2804\n80675 100000\n19823 29723\n25973 38947\n71403 100000\n94878 100000\n37046 55547\n54722 82062\n93377 100000\n4754 7162\n22392 33606\n95201 100000\n56640 84958\n84513 100000\n11904 17908\n21409 32101\n93159 100000\n2705 4065\n10831 16312\n90380 100000\n98783 100000\n88329 100000\n63986 96003\n83461 100000\n69461 100000\n65534 98300\n36247 54352\n4782 7203\n72036 100000\n73870 100000\n52172 78267\n23369 35065\n88906 100000\n80662 100000\n85473 100000\n72899 100000\n91964 100000\n19229 28832\n58528 87800\n9814 14770\n49661 74489\n91115 100000\n92689 100000\n28299 42422\n65318 97971\n52515 78772\n468 698\n2066 3096\n68841 100000\n41167 61699\n83951 100000\n69048 100000\n51398 77115\n54943 82385\n52771 79152\n35736 53590\n42999 64424\n39161 58667\n95628 100000\n37942 56861\n67850 100000\n54433 81646\n72390 100000\n22451 33704\n23762 35647\n42509 63714\n99312 100000\n93731 100000\n3938 5914\n10999 16565\n39800 59637\n34174 51248\n75906 100000\n20001 30000\n57192 85798\n19356 29019\n75340 100000\n81665 100000\n67446 100000\n14051 21090\n47182 70751\n20855 31262\n16196 24303\n21284 31907\n92608 100000\n41686 62483\n91257 100000\n15123 22692\n44621 66872\n72188 100000\n90166 100000\n52535 78806\n57936 86915\n93846 100000\n11538 17369\n63096 94682\n75608 100000\n82453 100000\n88169 100000\n24598 36873\n48144 72193\n75194 100000\n90168 100000\n65888 98819\n42025 62993\n73109 100000\n10641 16026\n86823 100000\n14311 21481\n17685 26530\n58291 87454\n25686 38514\n29158 43712\n85396 100000\n59542 89331\n59116 88682\n70555 100000\n33904 50840\n42877 64238\n11952 17987\n36152 54214\n24023 36028\n4535 6818\n96978 100000\n11441 17227\n67849 100000\n87023 100000\n80113 100000\n98009 100000\n60686 91048\n61110 91685\n2598 3903\n30350 45481\n37258 55860\n7135 10759\n38693 57975\n99909 100000\n42854 64208\n58985 88479\n37860 56743\n68709 100000\n8261 12429\n53789 80697\n26743 40091\n53932 80909\n98330 100000\n65648 98472\n49270 73886\n9449 14215\n35472 53195\n80352 100000\n28961 43414\n83414 100000\n32400 48587\n76847 100000\n85182 100000\n55392 83072\n50589 75877\n34985 52473\n80298 100000\n25361 38018\n31267 46872\n16643 24973\n23941 35912\n59909 89885\n78380 100000\n86013 100000\n61507 92283\n49983 74965\n69324 100000\n88249 100000\n23870 35800\n40727 61027\n74461 100000\n21463 32182\n80819 100000\n46096 69101\n64201 96317\n56047 84056\n59143 88720\n42913 64296\n13215 19862\n36991 55469\n51087 76649\n72014 100000\n80669 100000\n21086 31611\n30332 45455\n54658 81967\n66685 100000\n28121 42159\n66742 100000\n75735 100000\n18357 27509\n86468 100000\n7236 10908\n34102 51143\n45327 67921\n60222 90360\n30323 45442\n43397 65023\n99714 100000\n49741 74608\n1538 2315\n7645 11520\n53728 80604\n43066 64531\n92919 100000\n84228 100000\n96140 100000\n37931 56845\n79557 100000\n20417 30611\n65746 98615\n66998 100000\n24120 36172\n71118 100000\n20688 31022\n5555 8378\n25268 37880\n39036 58484\n38931 58331\n58294 87459\n14157 21246\n49480 74208\n92869 100000\n61302 91970\n76835 100000\n47392 71069\n16879 25313\n17716 26575\n34202 51289\n9021 13574\n27211 40787\n4386 6597\n42955 64356\n22282 33452\n28865 43278\n20142 30208\n47648 71463\n29271 43887\n16979 25469\n18749 28111\n98913 100000\n1473 2218\n99570 100000\n64919 97388\n66560 99844\n30906 46335\n38454 57630\n73010 100000\n73346 100000\n87734 100000\n53842 80776\n3663 5499\n97872 100000\n46108 69120\n18740 28098\n69485 100000\n95695 100000\n83779 100000\n64856 97290\n52177 78272\n39568 59276\n4502 6773\n94490 100000\n13719 20600\n90279 100000\n14102 21164\n47451 71159\n95535 100000\n86286 100000\n99456 100000\n15392 23102\n48128 72169\n92447 100000\n19009 28502\n58265 87414\n51059 76611\n52372 78563\n3268 4912\n60333 90518\n6572 9929\n84901 100000\n38081 57065\n43602 65332\n79661 100000\n64656 96996\n50012 75009\n56847 85269\n83633 100000\n84236 100000\n47405 71089\n97870 100000\n13585 20397\n74373 100000\n16574 24871\n18314 27445\n73374 100000\n35556 53320\n64296 96463\n75278 100000\n9040 13605\n67644 100000\n95808 100000\n11001 16569\n66946 100000\n11883 17880\n89807 100000\n17064 25602\n39274 58835\n50678 76013\n11667 17558\n11999 18058\n69694 100000\n83902 100000\n39157 58661\n53880 80831\n199 295\n1007 1512\n16036 24062\n27137 40678\n42316 63428\n47130 70673\n60997 91514\n34204 51292\n81501 100000\n47622 71423\n18219 27300\n9185 13817\n27793 41661\n84311 100000\n56551 84819\n80563 100000\n80052 100000\n93942 100000\n59521 89300\n2849 4281\n48337 72484\n63945 95940\n85193 100000\n76959 100000\n42557 63782\n54912 82343\n668 996\n96368 100000\n10885 16391\n21252 31859\n31309 46939\n77857 100000\n66937 100000\n84259 100000\n89884 100000\n71790 100000\n80162 100000\n42453 63636\n23138 34715\n26658 39969\n65573 98358\n70826 100000\n96929 100000\n8392 12631\n22773 34167\n48588 72872\n1700 2555\n3026 4550\n25985 38970\n75741 100000\n11739 17665\n56278 84403\n955 1434\n8552 12882\n65704 98556\n31968 47933\n10241 15428\n14838 22264\n72636 100000\n67901 100000\n48983 73459\n83424 100000\n37832 56701\n18656 27965\n84625 100000\n77606 100000\n10880 16384\n29937 44886\n49159 73715\n18258 27359\n1715 2573\n98930 100000\n19240 28848\n71333 100000\n84754 100000\n25403 38086\n80939 100000\n69287 100000\n65789 98675\n97392 100000\n35416 53112\n40365 60488\n21746 32620\n93237 100000\n14774 22166\n76177 100000\n25328 37968\n4405 6630\n86922 100000\n79764 100000\n68641 100000\n82373 100000\n49703 74557\n92773 100000\n59053 88584\n96907 100000\n8981 13512\n24196 36287\n25382 38052\n33942 50896\n43500 65176\n71963 100000\n90993 100000\n83158 100000\n71177 100000\n1869 2798\n57106 85664\n60555 90857\n77006 100000\n19917 29868\n96606 100000\n98100 100000\n75768 100000\n81443 100000\n76029 100000\n40929 61340\n27242 40830\n24480 36703\n40635 60888\n90803 100000\n769 1153\n28092 42118\n56383 84562\n72855 100000\n26870 40277\n34574 51861\n85492 100000\n13545 20341\n3032 4558\n9781 14720\n1659 2493\n25931 38887\n76416 100000\n76407 100000\n15938 23909\n78740 100000\n23746 35626\n33176 49769\n36966 55434\n9845 14817\n58368 87562\n15964 23949\n64824 97240\n49137 73683\n57234 85863\n34466 51689\n994 1494\n77714 100000\n58069 87118\n72507 100000\n45864 68740\n11294 17007\n43596 65322\n959 1440\n31962 47923\n94771 100000\n79854 100000\n10887 16395\n89529 100000\n86362 100000\n69370 100000\n37975 56911\n69070 100000\n53056 79584\n54750 82104\n85904 100000\n6285 9492\n66223 99328\n53096 79650\n29631 44426\n90633 100000\n30095 45115\n9092 13681\n60545 90840\n34473 51698\n4406 6632\n50321 75470\n16470 24719\n9972 15022\n85434 100000\n20978 31448\n40104 60097\n18700 28034\n41023 61489\n48092 72120\n57345 86032\n50913 76384\n13521 20304\n12027 18102\n52988 79478\n30856 46258\n98305 100000\n39365 58970\n52013 78025\n52704 79059\n56591 84887\n84340 100000\n38331 57445\n18465 27670\n40253 60319\n63806 95733\n24355 36517\n14912 22372\n44154 66160\n58922 88381\n46811 70198\n7172 10811\n65119 97687\n99244 100000\n6994 10553\n31456 47164\n60506 90781\n49715 74571\n74067 100000\n67466 100000\n35557 53321\n64162 96263\n11315 17034\n52579 78875\n99687 100000\n2604 3910\n91519 100000\n37717 56530\n73485 100000\n51600 77413\n90828 100000\n47511 71252\n62348 93538\n42457 63642\n96408 100000\n91887 100000\n59153 88735\n5773 8706\n6618 9994\n71232 100000\n62587 93894\n95006 100000\n45469 68132\n99136 100000\n13111 19715\n39270 58831\n44431 66583\n21441 32149\n68626 100000\n29035 43533\n70804 100000\n54153 81237\n76495 100000\n91430 100000\n58763 88147\n73076 100000\n26681 40003\n56594 84891\n30026 45017\n85440 100000\n37811 56670\n34953 52426\n73681 100000\n68680 100000\n22925 34399\n98626 100000\n30747 46091\n4114 6178\n74987 100000\n20359 30525\n81938 100000\n15872 23809\n31238 46827\n9603 14444\n46779 70148\n31657 47461\n5772 8704\n17718 26578\n62247 93384\n38281 57369\n5707 8609\n37650 56434\n98415 100000\n31567 47325\n94269 100000\n58121 87199\n27598 41374\n79916 100000\n32990 49483\n71847 100000\n62080 93136\n49938 74894\n93522 100000\n56327 84483\n37100 55625\n32964 49443\n95556 100000\n63696 95558\n33922 50866\n90901 100000\n61139 91731\n49315 73958\n92307 100000\n6194 9351\n96011 100000\n79085 100000\n13638 20476\n88253 100000\n80577 100000\n92632 100000\n41436 62102\n52170 78265\n45243 67795\n61912 92888\n65605 98410\n12074 18175\n70180 100000\n18963 28430\n91335 100000\n42740 64040\n80350 100000\n64379 96587\n83704 100000\n63322 95007\n34099 51137\n87227 100000\n39458 59109\n66179 99267\n48479 72698\n73123 100000\n97267 100000\n37370 56028\n44723 67019\n27032 40517\n9211 13853\n39981 59914\n65805 98700\n44009 65940\n87980 100000\n3328 5003\n38757 58063\n86876 100000\n74944 100000\n19309 28952\n18929 28374\n47711 71556\n37654 56439\n5861 8840\n49496 74235\n13139 19752\n42053 63032\n94824 100000\n62876 94336\n1896 2838\n27147 40693\n20523 30775\n74817 100000\n12769 19216\n39671 59435\n3785 5679\n84261 100000\n80285 100000\n83839 100000\n32782 49169\n96868 100000\n94987 100000\n59228 88853\n22560 33854\n45598 68333\n46125 69144\n1871 2800\n53712 80581\n91599 100000\n22386 33597\n78827 100000\n55380 83054\n15421 23144\n2976 4470\n95095 100000\n75245 100000\n90258 100000\n29648 44450\n77289 100000\n54548 81809\n32160 48225\n20346 30503\n5696 8592\n97199 100000\n62842 94287\n158 238\n4079 6123\n41911 62820\n10566 15908\n27481 41189\n78998 100000\n17891 26839\n90810 100000\n99824 100000\n40895 61290\n45283 67855\n87268 100000\n53430 80147\n81710 100000\n9899 14900\n31445 47148\n31317 46951\n16931 25387\n63769 95676\n60631 90961\n17900 26851\n85855 100000\n36654 54970\n25600 38384\n36477 54706\n77455 100000\n91436 100000\n95564 100000\n76437 100000\n16640 24967\n393 578\n83406 100000\n91820 100000\n69114 100000\n99540 100000\n69847 100000\n45170 67691\n5140 7751\n14575 21875\n71372 100000\n86010 100000\n15062 22597\n12347 18585\n81541 100000\n42441 63615\n80303 100000\n94601 100000\n3927 5899\n56711 85061\n71941 100000\n42638 63902\n92359 100000\n54393 81591\n99496 100000\n77991 100000\n45582 68307\n93153 100000\n36817 55215\n2194 3286\n21043 31549\n29440 44141\n49132 73675\n28305 42432\n70790 100000\n67776 100000\n29338 43987\n47288 70914\n72621 100000\n35203 52796\n46440 69636\n38462 57640\n60832 91258\n36939 55395\n33045 49572\n5697 8593\n50173 75249\n90248 100000\n10663 16058\n39612 59344\n61576 92386\n22320 33504\n97277 100000\n6206 9368\n95306 100000\n47669 71493\n5425 8189\n94363 100000\n19149 28714\n8898 13387\n44849 67207\n12589 18945\n91871 100000\n34528 51789\n39441 59083\n77590 100000\n57541 86326\n2771 4165\n33108 49670\n78437 100000\n34551 51823\n40889 61281\n73145 100000\n95664 100000\n37146 55698\n89928 100000\n55201 82771\n41894 62797\n24933 37378\n24879 37300\n33901 50836\n25558 38313\n51477 77222\n35499 53236\n45029 67469\n70723 100000\n73245 100000\n52199 78309\n94223 100000\n64269 96419\n99216 100000\n99366 100000\n43696 65471\n18507 27733\n53622 80448\n59534 89320\n89873 100000\n30694 46010\n95200 100000\n20283 30419\n48812 73204\n17548 26327\n8269 12440\n37406 56081\n31614 47398\n31720 47562\n88054 100000\n17692 26541\n84935 100000\n72215 100000\n63431 95172\n4984 7516\n94932 100000\n53205 79817\n38088 57076\n9592 14427\n80594 100000\n17947 26912\n79548 100000\n94863 100000\n1271 1910\n93718 100000\n34831 52243\n14652 21992\n67335 100000\n33262 49889\n9796 14742\n62457 93697\n23731 35603\n76244 100000\n28403 42577\n23315 34984\n56156 84220\n38692 57974\n6659 10058\n6616 9991\n94453 100000\n66567 99853\n977 1466\n95508 100000\n52340 78515\n51069 76625\n85648 100000\n17025 25540\n74825 100000\n48728 73082\n72588 100000\n63178 94808\n90676 100000\n86480 100000\n58753 88131\n56309 84455\n77812 100000\n2453 3683\n28442 42636\n59233 88861\n52332 78505\n70303 100000\n88475 100000\n51712 77581\n15939 23911\n40081 60063\n47743 71602\n34076 51102\n60344 90535\n72969 100000\n62146 93239\n78482 100000\n89393 100000\n27640 41437\n60072 90137\n27290 40902\n78735 100000\n37245 55840\n69423 100000\n71836 100000\n4664 7022\n85839 100000\n2956 4446\n99276 100000\n28476 42689\n71245 100000\n93084 100000\n16646 24976\n72681 100000\n52712 79072\n5770 8701\n84909 100000\n81723 100000\n82458 100000\n55052 82544\n86837 100000\n20220 30328\n92676 100000\n37585 56341\n83522 100000\n83389 100000\n61985 92994\n76621 100000\n50604 75898\n20036 30049\n10912 16433\n90401 100000\n58999 88501\n92598 100000\n73388 100000\n31767 47627\n10710 16133\n58964 88449\n31103 46625\n18789 28168\n1580 2375\n61490 92255\n29602 44380\n87167 100000\n30981 46444\n43677 65445\n99328 100000\n44149 66153\n85981 100000\n93698 100000\n9183 13815\n89180 100000\n18791 28171\n78074 100000\n32262 48376\n80764 100000\n21229 31826\n50452 75669\n68572 100000\n17521 26285\n31413 47098\n30169 45219\n75900 100000\n5684 8571\n98191 100000\n48998 73481\n82799 100000\n87212 100000\n15230 22862\n36060 54071\n14887 22334\n72309 100000\n68071 100000\n35647 53456\n53332 79995\n353 516\n96869 100000\n91937 100000\n7917 11933\n33860 50783\n14614 21934\n82462 100000\n98883 100000\n37989 56933\n10814 16289\n99122 100000\n83357 100000\n50236 75341\n43125 64618\n60524 90808\n74356 100000\n91201 100000\n9715 14613\n91125 100000\n10864 16362\n23992 35986\n25795 38678\n33975 50950\n94138 100000\n7274 10967\n40172 60200\n70203 100000\n90005 100000\n48179 72249\n34330 51481\n95758 100000\n99358 100000\n55905 83843\n65736 98600\n98652 100000\n59154 88737\n2767 4160\n24495 36726\n27837 41733\n89586 100000\n76104 100000\n67143 100000\n45722 68533\n85956 100000\n48065 72080\n5427 8192\n85785 100000\n83982 100000\n27435 41117\n77856 100000\n6488 9799\n79697 100000\n91851 100000\n82069 100000\n84485 100000\n96735 100000\n58262 87411\n58948 88423\n5123 7727\n15906 23861\n88663 100000\n38119 57122\n18154 27210\n94971 100000\n44374 66490\n54251 81383\n58513 87776\n83730 100000\n238 351\n98341 100000\n36599 54891\n81918 100000\n99029 100000\n56409 84601\n86680 100000\n47948 71906\n17467 26207\n48188 72263\n11548 17386\n58830 88248\n58150 87240\n56089 84115\n80482 100000\n92626 100000\n13028 19588\n41251 61821\n64338 96526\n87050 100000\n86081 100000\n4354 6550\n31744 47594\n69876 100000\n50139 75199\n57387 86096\n55012 82485\n72104 100000\n39104 58580\n14073 21119\n29875 44788\n62492 93751\n78673 100000\n80486 100000\n51521 77290\n62913 94395\n42777 64094\n50436 75645\n90506 100000\n75298 100000\n94976 100000\n40517 60708\n17924 26882\n50292 75427\n7186 10832\n72942 100000\n87742 100000\n85934 100000\n54896 82317\n92782 100000\n56065 84080\n38194 57234\n53382 80068\n2541 3820\n33660 50487\n12067 18166\n6874 10381\n42839 64185\n34693 52044\n69273 100000\n25444 38143\n25998 38987\n25052 37565\n79135 100000\n24864 37276\n86636 100000\n26662 39974\n21579 32352\n74049 100000\n67730 100000\n20800 31183\n1977 2959\n24241 36350\n15113 22675\n32799 49194\n27109 40636\n9363 14083\n93647 100000\n81293 100000\n51360 77062\n38847 58201\n92815 100000\n78955 100000\n90344 100000\n71486 100000\n76843 100000\n4110 6171\n8357 12573\n58893 88337\n10072 15175\n2015 3015\n1143 1724\n12666 19062\n63152 94770\n38315 57421\n50688 76030\n27167 40721\n33967 50935\n56631 84947\n75683 100000\n24228 36332\n24548 36801\n52190 78295\n28960 43412\n84397 100000\n50061 75081\n31374 47036\n56889 85336\n88717 100000\n43913 65800\n73948 100000\n9319 14019\n18241 27332\n88221 100000\n10920 16446\n8986 13519\n27771 41628\n16337 24525\n46208 69270\n91636 100000\n37115 55650\n71020 100000\n47733 71588\n62603 93922\n88661 100000\n90738 100000\n38667 57936\n89920 100000\n1295 1947\n20117 30171\n26052 39071\n54205 81312\n87585 100000\n52083 78131\n4130 6202\n54201 81306\n718 1071\n86516 100000\n1358 2045\n53000 79497\n41663 62449\n88789 100000\n90509 100000\n11196 16860\n42218 63280\n88212 100000\n75969 100000\n60297 90464\n88368 100000\n23508 35270\n68315 100000\n28755 43105\n85679 100000\n59017 88526\n79027 100000\n60884 91343\n5836 8801\n77666 100000\n68950 100000\n4738 7136\n7467 11254\n92149 100000\n33068 49607\n6943 10480\n45550 68260\n1780 2667\n34450 51663\n13479 20246\n54684 82005\n49521 74274\n58273 87426\n92828 100000\n41160 61691\n15592 23404\n17755 26633\n74456 100000\n99811 100000\n52992 79484\n46073 69068\n9277 13954\n22038 33079\n75641 100000\n40945 61365\n90398 100000\n24478 36700\n31875 47792\n78253 100000\n34592 51888\n56484 84715\n63731 95614\n32201 48286\n86451 100000\n21634 32444\n76631 100000\n13731 20617\n53541 80318\n17606 26413\n75291 100000\n50591 75880\n81320 100000\n8326 12527\n55811 83700\n6782 10243\n72002 100000\n96900 100000\n33546 50312\n56874 85314\n96218 100000\n43071 64537\n36687 55016\n28977 43441\n86589 100000\n39354 58956\n91777 100000\n55550 83310\n43377 64994\n95795 100000\n47731 71586\n96683 100000\n22454 33709\n27744 41588\n97086 100000\n444 659\n87350 100000\n83687 100000\n95251 100000\n29865 44772\n33949 50907\n55330 82974\n97945 100000\n75250 100000\n72845 100000\n51377 77088\n17855 26785\n32941 49408\n6820 10297\n26823 40207\n53263 79898\n53067 79600\n40519 60712\n98358 100000\n49334 73985\n74222 100000\n80435 100000\n23317 34988\n39320 58906\n99789 100000\n56993 85495\n74762 100000\n13468 20233\n61905 92878\n83508 100000\n86649 100000\n35619 53416\n8232 12388\n86840 100000\n57882 86830\n93574 100000\n11468 17268\n26110 39161\n7113 10723\n88097 100000\n91660 100000\n5431 8196\n67128 100000\n36332 54488\n60468 90720\n81655 100000\n14761 22150\n49076 73592\n57067 85606\n88062 100000\n99894 100000\n12211 18382\n90507 100000\n11902 17906\n98735 100000\n54331 81506\n41909 62818\n79762 100000\n98924 100000\n67233 100000\n2247 3372\n26248 39365\n20313 30457\n39418 59052\n37708 56515\n66513 99770\n95431 100000\n25374 38038\n87529 100000\n32905 49352\n379 555\n69898 100000\n450 668\n54234 81357\n65590 98386\n77814 100000\n57033 85556\n48407 72588\n49708 74563\n39768 59585\n45854 68727\n20177 30265\n69742 100000\n83516 100000\n7498 11302\n65231 97849\n6566 9919\n79329 100000\n87352 100000\n59671 89530\n1330 2001\n47618 71415\n45522 68215\n2550 3834\n63748 95643\n23654 35487\n77956 100000\n88914 100000\n31498 47225\n51917 77879\n91022 100000\n42291 63389\n63912 95893\n90531 100000\n60771 91164\n38798 58127\n14360 21555\n29646 44447\n97627 100000\n37700 56506\n40307 60401\n70759 100000\n32265 48381\n71150 100000\n65332 97995\n97401 100000\n7925 11945\n87555 100000\n70327 100000\n17097 25650\n41169 61702\n93340 100000\n99337 100000\n8562 12898\n45787 68631\n83285 100000\n79156 100000\n94185 100000\n64249 96389\n67515 100000\n52718 79080\n12028 18103\n24625 36915\n9812 14767\n91087 100000\n12804 19267\n63699 95563\n63503 95277\n40217 60265\n45129 67626\n97726 100000\n97064 100000\n28777 43133\n56399 84586\n7281 10975\n59031 88547\n80715 100000\n4413 6642\n62006 93026\n68659 100000\n94599 100000\n39857 59726\n43540 65239\n80361 100000\n68163 100000\n1100 1654\n5897 8903\n32423 48623\n52657 78988\n33404 50102\n94740 100000\n33943 50897\n33277 49912\n13413 20156\n26325 39476\n29882 44799\n45353 67961\n16824 25232\n46617 69899\n79213 100000\n90254 100000\n45682 68473\n40510 60697\n69468 100000\n34171 51245\n64476 96730\n99201 100000\n71355 100000\n44600 66843\n49681 74523\n49894 74829\n79602 100000\n53867 80812\n1141 1722\n69267 100000\n19055 28572\n50323 75473\n61120 91700\n72021 100000\n71833 100000\n90648 100000\n11148 16785\n95578 100000\n79344 100000\n92767 100000\n93878 100000\n47191 70765\n54299 81456\n23162 34748\n7057 10644\n19789 29673\n97862 100000\n42364 63501\n25302 37932\n24184 36269\n17529 26299\n38945 58349\n69316 100000\n60782 91179\n73111 100000\n16791 25184\n24297 36433\n58218 87345\n75707 100000\n25057 37572\n92371 100000\n31534 47274\n49128 73667\n32714 49064\n94548 100000\n34816 52222\n68288 100000\n17398 26102\n36266 54383\n68117 100000\n34780 52171\n64624 96950\n6870 10376\n38073 57054\n95539 100000\n74587 100000\n93144 100000\n21339 31991\n4001 6007\n11110 16730\n7176 10817\n26461 39675\n8846 13307\n41008 61467\n27561 41317\n64888 97341\n81000 100000\n43273 64844\n82096 100000\n24340 36498\n60577 90888\n8514 12821\n87063 100000\n73490 100000\n25260 37869\n97331 100000\n61653 92495\n29136 43678\n39058 58514\n81258 100000\n98722 100000\n74014 100000\n97060 100000\n98140 100000\n65257 97887\n12591 18947\n92925 100000\n90031 100000\n21294 31921\n74002 100000\n72366 100000\n22860 34301\n80439 100000\n40839 61202\n1544 2325\n12610 18975\n26883 40296\n89840 100000\n66702 100000\n51709 77577\n58921 88380\n60090 90163\n73760 100000\n58409 87622\n93319 100000\n44761 67078\n61485 92248\n16578 24876\n1990 2980\n99219 100000\n88607 100000\n50600 75894\n98287 100000\n12694 19105\n19889 29825\n60616 90940\n77045 100000\n17815 26726\n71463 100000\n42502 63704\n57964 86956\n93841 100000\n29906 44836\n72353 100000\n1818 2722\n67851 100000\n39931 59837\n65455 98185\n68595 100000\n42308 63415\n22972 34472\n90361 100000\n75318 100000\n72928 100000\n18580 27838\n24252 36366\n99627 100000\n46704 70031\n63297 94972\n46575 69835\n32119 48164\n78729 100000\n37785 56631\n33891 50825\n91122 100000\n42465 63652\n40861 61233\n20101 30148\n24988 37463\n69352 100000\n94050 100000\n75930 100000\n3723 5586\n86633 100000\n93080 100000\n68038 100000\n52281 78430\n56320 84471\n77936 100000\n90735 100000\n39745 59546\n83276 100000\n34267 51383\n74069 100000\n63171 94799\n53210 79826\n71834 100000\n26675 39993\n29776 44648\n2295 3446\n13599 20416\n9733 14643\n45357 67968\n40489 60668\n31987 47962\n79656 100000\n13254 19920\n15127 22699\n3357 5043\n82999 100000\n66482 99724\n89237 100000\n4934 7440\n45100 67581\n26862 40265\n75580 100000\n46102 69110\n40437 60593\n33 48\n65755 98629\n8460 12736\n66853 100000\n24715 37051\n25394 38070\n42573 63803\n74487 100000\n71432 100000\n74491 100000\n90489 100000\n33238 49855\n12203 18371\n78781 100000\n13936 20923\n51845 77770\n82666 100000\n61941 92928\n39637 59379\n71764 100000\n6057 9150\n14560 21851\n1343 2020\n98072 100000\n82146 100000\n93795 100000\n29086 43605\n30301 45410\n10974 16527\n51640 77473\n29600 44378\n68062 100000\n60370 90572\n90348 100000\n19427 29124\n72011 100000\n1111 1673\n27938 41883\n65790 98677\n4294 6457\n76380 100000\n86765 100000\n83766 100000\n5036 7592\n23899 35842\n44419 66564\n24432 36632\n18102 27135\n77277 100000\n11820 17778\n73481 100000\n32259 48373\n73103 100000\n57610 86430\n2130 3194\n81608 100000\n77626 100000\n66771 100000\n4761 7173\n86856 100000\n26844 40237\n36238 54337\n11313 17031\n44287 66361\n32245 48353\n58889 88330\n28716 43048\n89597 100000\n91905 100000\n36388 54571\n46494 69715\n3300 4963\n33749 50616\n61666 92513\n92702 100000\n66724 100000\n6596 9965\n53901 80861\n87572 100000\n56552 84821\n47985 71955\n73509 100000\n94139 100000\n38812 58147\n11813 17768\n58849 88274\n88884 100000\n75498 100000\n45882 68768\n26626 39918\n72867 100000\n76639 100000\n50880 76334\n87500 100000\n29588 44360\n21481 32209\n97544 100000\n1269 1908\n17626 26441\n35672 53496\n32902 49348\n73675 100000\n60013 90045\n62875 94334\n34275 51396\n77979 100000\n82370 100000\n95855 100000\n24106 36150\n50734 76107\n55049 82538\n1340 2015\n37517 56238\n77089 100000\n66594 99893\n78069 100000\n14737 22112\n30092 45110\n48723 73075\n63480 95247\n44997 67423\n78995 100000\n276 404\n50339 75494\n53868 80814\n78715 100000\n74562 100000\n96086 100000\n10367 15616\n82656 100000\n2950 4439\n97994 100000\n27649 41451\n58636 87961\n91918 100000\n93532 100000\n23207 34818\n49993 74981\n69170 100000\n6809 10282\n72691 100000\n24896 37326\n38014 56969\n35810 53698\n67385 100000\n3667 5507\n67749 100000\n19248 28860\n17351 26033\n24216 36313\n87242 100000\n32225 48321\n12442 18723\n40416 60565\n68361 100000\n86942 100000\n43058 64518\n88730 100000\n14762 22152\n2032 3043\n22684 34033\n33964 50930\n41308 61901\n63456 95208\n64736 97117\n70738 100000\n34153 51217\n66844 100000\n83969 100000\n85140 100000\n46631 69921\n4073 6113\n15571 23372\n63517 95298\n55013 82486\n38944 58347\n80001 100000\n54165 81253\n28268 42379\n89526 100000\n57411 86131\n93536 100000\n15836 23756\n33757 50626\n88598 100000\n19321 28969\n65196 97799\n39460 59113\n69848 100000\n34900 52344\n29625 44417\n60281 90443\n50016 75014\n72596 100000\n44025 65966\n14690 22046\n30587 45851\n27391 41052\n73056 100000\n51939 77911\n37513 56234\n58148 87238\n84313 100000\n80502 100000\n77541 100000\n83765 100000\n4643 6987\n58002 87018\n71646 100000\n43209 64745\n11052 16646\n52010 78020\n10083 15191\n18439 27629\n99535 100000\n83236 100000\n91377 100000\n93434 100000\n56011 83999\n49722 74579\n7966 12006\n64806 97215\n7990 12039\n70983 100000\n16038 24064\n91227 100000\n77707 100000\n55936 83892\n47901 71837\n49030 73530\n67367 100000\n19261 28880\n98904 100000\n88825 100000\n77998 100000\n71676 100000\n77920 100000\n35085 52616\n66078 99118\n55240 82833\n77062 100000\n81900 100000\n3551 5330\n82944 100000\n67521 100000\n28059 42075\n49374 74049\n39689 59461\n92255 100000\n33974 50948\n77060 100000\n89277 100000\n75343 100000\n6207 9370\n10464 15756\n83433 100000\n4745 7147\n60747 91132\n65193 97795\n70534 100000\n27279 40887\n39676 59442\n25045 37556\n89899 100000\n2726 4096\n53172 79764\n55371 83040\n58992 88491\n6171 9318\n55624 83419\n11877 17871\n53433 80152\n92142 100000\n65489 98233\n86817 100000\n35276 52904\n53208 79823\n78373 100000\n74665 100000\n85027 100000\n44551 66773\n83046 100000\n28200 42275\n22424 33662\n5050 7618\n40314 60409\n66850 100000\n1416 2132\n5789 8730\n12540 18872\n15600 23416\n71134 100000\n28545 42793\n49055 73567\n49682 74524\n99284 100000\n67144 100000\n40608 60847\n24403 36589\n89416 100000\n51135 76724\n60869 91317\n54070 81119\n23587 35388\n94618 100000\n40422 60572\n86610 100000\n7294 10995\n29331 43974\n23672 35516\n38787 58112\n12799 19260\n78011 100000\n15602 23419\n21721 32583\n29396 44073\n62588 93895\n87586 100000\n90458 100000\n8610 12968\n52298 78453\n51007 76534\n9077 13659\n15680 23533\n9804 14756\n47858 71773\n53857 80798\n20062 30090\n42449 63630\n81017 100000\n14837 22263\n64058 96109\n88106 100000\n47369 71034\n36951 55410\n36292 54426\n37116 55651\n45080 67551\n25145 37701\n72532 100000\n98398 100000\n15093 22649\n34798 52197\n81612 100000\n53055 79583\n63200 94840\n51979 77970\n39048 58504\n4022 6036\n79317 100000\n82985 100000\n33893 50827\n43441 65089\n38005 56958\n99291 100000\n68878 100000\n67758 100000\n42990 64411\n67668 100000\n11876 17869\n79023 100000\n63671 95524\n61730 92616\n4208 6320\n8182 12320\n17563 26352\n89821 100000\n75560 100000\n94109 100000\n10300 15513\n32335 48489\n67795 100000\n66936 100000\n82369 100000\n99827 100000\n60045 90094\n88828 100000\n32071 48095\n46156 69192\n9294 13981\n32747 49114\n30974 46436\n40771 61098\n44852 67211\n4246 6383\n58461 87699\n58970 88459\n23574 35365\n83065 100000\n47578 71353\n10324 15552\n50034 75043\n29010 43492\n55383 83060\n51417 77140\n85623 100000\n37999 56950\n58465 87705\n94969 100000\n19914 29863\n8035 12101\n7246 10924\n23752 35633\n50816 76229\n10718 16145\n84762 100000\n57504 86270\n4351 6545\n34660 51989\n28214 42297\n31169 46724\n39793 59626\n7522 11335\n4906 7395\n40088 60073\n38322 57432\n13355 20070\n32694 49034\n99210 100000\n43855 65711\n29537 44290\n18541 27787\n18286 27402\n11012 16585\n39481 59143\n72515 100000\n76885 100000\n5870 8857\n58512 87775\n37043 55543\n94313 100000\n73402 100000\n39097 58569\n376 552\n72765 100000\n39696 59472\n63054 94614\n67637 100000\n68905 100000\n38616 57871\n13693 20558\n78127 100000\n20818 31207\n38914 58306\n55446 83155\n99218 100000\n2351 3536\n88010 100000\n48732 73089\n28952 43401\n6049 9137\n33941 50895\n71904 100000\n83246 100000\n30373 45513\n24927 37369\n70284 100000\n55286 82908\n2935 4415\n83822 100000\n27432 41114\n37028 55519\n89798 100000\n9385 14114\n55161 82717\n19890 29827\n81016 100000\n11750 17680\n13962 20959\n75612 100000\n37923 56834\n59610 89438\n41773 62611\n87623 100000\n32783 49170\n39222 58762\n16663 25001\n41259 61832\n84573 100000\n65094 97647\n39163 58670\n25736 38592\n50887 76344\n37802 56660\n18529 27767\n2409 3618\n34046 51060\n91055 100000\n1572 2364\n47230 70823\n60216 90352\n12702 19119\n51557 77345\n26219 39320\n14344 21533\n42732 64029\n9189 13823\n96895 100000\n50033 75041\n11137 16769\n71900 100000\n97673 100000\n56391 84575\n71866 100000\n41323 61925\n36170 54239\n94965 100000\n96559 100000\n2193 3285\n7483 11279\n34094 51130\n99120 100000\n31702 47531\n95247 100000\n7237 10910\n46569 69827\n24727 37072\n145 219\n31618 47404\n41614 62377\n95502 100000\n96986 100000\n34904 52351\n61607 92428\n94651 100000\n88920 100000\n44166 66179\n38732 58029\n53724 80597\n20709 31051\n28850 43253\n50038 75048\n17433 26150\n76615 100000\n23039 34568\n73677 100000\n59803 89730\n85594 100000\n84107 100000\n10594 15953\n20206 30308\n88401 100000\n82513 100000\n36494 54734\n76438 100000\n24881 37303\n71997 100000\n27552 41301\n9496 14285\n27961 41921\n66531 99799\n61245 91887\n23471 35213\n12879 19368\n84448 100000\n67964 100000\n95542 100000\n34571 51857\n55094 82613\n48235 72337\n67617 100000\n61953 92944\n65796 98686\n87752 100000\n46858 70274\n30760 46112\n43997 65923\n5014 7561\n81709 100000\n6422 9699\n30066 45069\n90847 100000\n10842 16331\n32055 48073\n80723 100000\n88148 100000\n86018 100000\n62234 93364\n99063 100000\n57266 85910\n34841 52259\n35362 53031\n43731 65524\n40832 61190\n34015 51011\n97550 100000\n79141 100000\n78985 100000\n30874 46288\n91226 100000\n5681 8567\n39810 59650\n13772 20674\n54187 81285\n96111 100000\n63248 94899\n36644 54957\n63618 95448\n61476 92233\n47328 70975\n53875 80824\n11873 17863\n10260 15456\n54957 82405\n52322 78489\n13640 20478\n34745 52118\n9466 14243\n72756 100000\n34232 51333\n41946 62873\n16531 24806\n8052 12129\n13027 19586\n94174 100000\n17442 26166\n62597 93911\n90651 100000\n93521 100000\n58877 88314\n80277 100000\n15464 23207\n64744 97129\n60428 90661\n87517 100000\n96154 100000\n29 42\n62624 93952\n17826 26740\n24316 36460\n53493 80245\n5611 8463\n90263 100000\n81865 100000\n52989 79479\n94288 100000\n36946 55404\n47228 70820\n12895 19388\n94285 100000\n77395 100000\n18801 28183\n22466 33723\n75729 100000\n42776 64092\n77143 100000\n10984 16543\n14943 22419\n50484 75719\n88057 100000\n54397 81597\n98132 100000\n97311 100000\n14505 21770\n23292 34948\n14524 21799\n46930 70379\n48420 72609\n12734 19167\n98944 100000\n27535 41276\n91180 100000\n37580 56333\n67767 100000\n1850 2770\n43940 65837\n19201 28795\n13629 20463\n39451 59098\n10371 15623\n8427 12687\n93808 100000\n99935 100000\n43986 65908\n39811 59651\n52716 79078\n69276 100000\n25689 38520\n18392 27562\n41858 62738\n87945 100000\n48415 72601\n612 918\n41357 61977\n8943 13456\n40522 60718\n7106 10711\n38049 57019\n56276 84400\n56991 85492\n49335 73987\n51479 77224\n10238 15424\n52606 78916\n46455 69659\n92963 100000\n99070 100000\n76786 100000\n11652 17536\n34086 51118\n83829 100000\n56765 85146\n61901 92870\n98741 100000\n13882 20845\n74909 100000\n62790 94202\n70599 100000\n60562 90865\n54183 81281\n65484 98227\n773 1161\n80278 100000\n32526 48786\n83851 100000\n40065 60038\n54824 82210\n61813 92735\n89042 100000\n83708 100000\n70271 100000\n41937 62858\n93213 100000\n19419 29113\n23767 35653\n90728 100000\n27392 41054\n5734 8645\n1163 1755\n45815 68668\n97694 100000\n68710 100000\n34696 52049\n60478 90736\n5800 8746\n24569 36835\n87098 100000\n16592 24894\n67878 100000\n10529 15849\n37874 56763\n91545 100000\n64250 96391\n64135 96221\n86359 100000\n58627 87947\n39977 59906\n51190 76807\n78034 100000\n53664 80510\n8198 12339\n99997 100000\n26848 40242\n26304 39446\n67866 100000\n60863 91309\n85395 100000\n40735 61039\n69339 100000\n24994 37472\n81162 100000\n79781 100000\n21114 31655\n28424 42610\n19775 29652\n27425 41105\n9621 14472\n87900 100000\n98928 100000\n94884 100000\n52380 78573\n60994 91508\n54725 82066\n86551 100000\n73529 100000\n47381 71053\n95494 100000\n77959 100000\n36524 54780\n95089 100000\n74750 100000\n17280 25924\n54366 81557\n81866 100000\n12820 19288\n23634 35458\n92515 100000\n66785 100000\n52070 78109\n12253 18449\n82615 100000\n13388 20118\n15951 23931\n57015 85528\n40992 61441\n10820 16296\n38522 57733\n17892 26840\n10789 16249\n13811 20738\n2772 4167\n40110 60108\n28980 43446\n70120 100000\n22991 34499\n82311 100000\n78407 100000\n4641 6984\n16641 24969\n58804 88209\n89196 100000\n48526 72776\n3071 4616\n58618 87933\n15658 23502\n79913 100000\n14149 21232\n97004 100000\n13993 21003\n83316 100000\n90695 100000\n95880 100000\n95002 100000\n91755 100000\n76389 100000\n97251 100000\n50044 75057\n47060 70571\n57593 86403\n2797 4203\n63382 95098\n90905 100000\n37415 56094\n58930 88394\n38334 57448\n9617 14466\n60840 91272\n58659 87996\n76686 100000\n58268 87419\n56878 85319\n47810 71705\n59474 89222\n43451 65106\n37443 56130\n65211 97821\n75351 100000\n40163 60185\n95884 100000\n91919 100000\n34401 51592\n97658 100000\n39529 59219\n87738 100000\n42138 63163\n19799 29688\n55314 82950\n98403 100000\n1191 1796\n78129 100000\n97072 100000\n29894 44818\n88136 100000\n50904 76370\n19238 28844\n1904 2852\n8738 13151\n13298 19983\n27050 40547\n41270 61850\n23480 35227\n43434 65081\n16839 25254\n19270 28894\n76273 100000\n28415 42596\n64896 97355\n98312 100000\n54474 81705\n85697 100000\n47458 71170\n20394 30579\n90736 100000\n40778 61110\n37329 55969\n64843 97270\n77268 100000\n22870 34314\n10553 15886\n33175 49768\n55520 83266\n44346 66449\n54686 82009\n780 1171\n4070 6108\n22173 33282\n29462 44173\n23600 35407\n7352 11080\n42361 63496\n48394 72570\n19679 29507\n91699 100000\n53589 80398\n64229 96360\n25958 38925\n89506 100000\n34976 52461\n13748 20642\n37052 55557\n37603 56364\n95732 100000\n83045 100000\n78182 100000\n49745 74612\n74509 100000\n2958 4448\n27102 40625\n83568 100000\n71306 100000\n5088 7672\n76497 100000\n81692 100000\n74775 100000\n12543 18877\n38226 57281\n64498 96760\n71691 100000\n98778 100000\n98999 100000\n75056 100000\n55943 83903\n71248 100000\n38628 57888\n18684 28009\n55786 83662\n66894 100000\n32330 48483\n27281 40890\n92155 100000\n81098 100000\n9171 13798\n88662 100000\n83853 100000\n95 145\n3887 5836\n7965 12005\n87974 100000\n31241 46832\n9122 13721\n27800 41671\n6455 9747\n64991 97496\n33873 50799\n75573 100000\n63478 95244\n84676 100000\n15996 23999\n38961 58375\n75977 100000\n34764 52146\n8202 12346\n93805 100000\n82945 100000\n65116 97683\n7634 11504\n67114 100000\n27822 41708\n49084 73601\n32751 49121\n67913 100000\n80542 100000\n66424 99635\n2562 3852\n7708 11619\n30245 45329\n81267 100000\n67634 100000\n48275 72395\n70465 100000\n60063 90121\n18898 28329\n27180 40738\n96284 100000\n54858 82266\n21709 32564\n26494 39725\n54938 82378\n2432 3651\n98351 100000\n95299 100000\n86500 100000\n62297 93456\n3206 4816\n50658 75979\n39185 58705\n44354 66459\n76394 100000\n19653 29467\n83925 100000\n73273 100000\n80374 100000\n41243 61810\n9105 13697\n51123 76704\n82335 100000\n10674 16078\n38641 57903\n19070 28594\n81796 100000\n68144 100000\n58696 88048\n46534 69777\n74773 100000\n78210 100000\n60718 91095\n15585 23392\n22327 33513\n11017 16594\n69856 100000\n76485 100000\n28457 42657\n60174 90291\n35423 53124\n65170 97762\n2882 4332\n58655 87989\n82422 100000\n98470 100000\n39574 59286\n64877 97324\n2749 4129\n63688 95549\n24705 37037\n78533 100000\n95687 100000\n6973 10525\n25235 37831\n47461 71174\n15353 23047\n617 924\n61972 92976\n15407 23125\n96112 100000\n43342 64945\n84598 100000\n54014 81033\n41478 62163\n29838 44734\n60213 90348\n87204 100000\n82479 100000\n26506 39739\n69228 100000\n55073 82579\n23484 35234\n93412 100000\n17246 25872\n12314 18534\n1402 2108\n24934 37379\n68543 100000\n92525 100000\n60815 91228\n46100 69106\n98130 100000\n29299 43928\n75803 100000\n45263 67825\n53421 80130\n42591 63832\n54592 81873\n47871 71794\n85660 100000\n68384 100000\n95226 100000\n87933 100000\n52935 79400\n21206 31794\n49134 73678\n40455 60622\n8741 13154\n52089 78140\n73363 100000\n71726 100000\n52538 78810\n70563 100000\n57294 85956\n16529 24804\n76129 100000\n96119 100000\n57592 86401\n81790 100000\n99653 100000\n77013 100000\n10355 15595\n43735 65530\n48795 73179\n78331 100000\n8521 12832\n64738 97119\n78160 100000\n56223 84324\n93925 100000\n9754 14675\n55590 83368\n21265 31880\n39323 58910\n40067 60041\n8163 12292\n33028 49544\n85469 100000\n75100 100000\n63215 94857\n85629 100000\n13976 20977\n91414 100000\n87563 100000\n88840 100000\n9400 14140\n52916 79374\n13586 20398\n38029 56992\n13676 20532\n86012 100000\n29509 44247\n47323 70965\n70626 100000\n23795 35694\n95989 100000\n39158 58663\n36460 54680\n81111 100000\n73214 100000\n47919 71862\n26664 39978\n94980 100000\n51552 77337\n97578 100000\n22143 33234\n40913 61318\n33054 49584\n76220 100000\n3389 5092\n94610 100000\n31010 46488\n8931 13435\n66834 100000\n75058 100000\n25156 37718\n78823 100000\n62475 93726\n79750 100000\n70123 100000\n80689 100000\n77326 100000\n27390 41050\n81595 100000\n71645 100000\n75154 100000\n28945 43392\n95225 100000\n25334 37976\n66386 99581\n33819 50720\n93744 100000\n49486 74217\n35617 53412\n57311 85981\n81316 100000\n50219 75319\n9196 13834\n27119 40651\n67079 100000\n67714 100000\n3650 5480\n91538 100000\n59952 89954\n10595 15955\n47090 70614\n20149 30218\n50708 76063\n25613 38402\n43175 64692\n9234 13888\n9682 14560\n42681 63961\n11619 17493\n5570 8404\n54027 81052\n68606 100000\n66016 99020\n32136 48189\n30955 46409\n26421 39621\n75662 100000\n5023 7574\n99502 100000\n24720 37059\n80344 100000\n45615 68363\n2587 3888\n29220 43808\n19999 29996\n67342 100000\n19324 28974\n58195 87308\n5392 8139\n86502 100000\n95733 100000\n54543 81802\n42431 63601\n37197 55767\n34072 51096\n71321 100000\n71591 100000\n17562 26350\n8290 12471\n66909 100000\n61348 92045\n56448 84660\n84583 100000\n19485 29212\n72996 100000\n42618 63873\n60870 91319\n41021 61487\n48870 73292\n20658 30980\n53590 80399\n47027 70529\n40909 61313\n813 1220\n70859 100000\n1524 2296\n43145 64645\n57915 86883\n30933 46378\n42524 63735\n12542 18876\n44184 66207\n1603 2408\n27967 41932\n26095 39140\n86769 100000\n5820 8775\n98409 100000\n2947 4434\n8048 12123\n23434 35155\n55573 83342\n15713 23583\n81913 100000\n49786 74672\n48139 72185\n46872 70290\n19887 29823\n71827 100000\n5373 8110\n78606 100000\n14825 22247\n54274 81417\n50964 76464\n51013 76542\n30844 46242\n81031 100000\n36761 55129\n86564 100000\n43484 65151\n94645 100000\n25697 38532\n37276 55890\n57929 86905\n29661 44471\n75392 100000\n49636 74454\n31513 47246\n38386 57528\n58888 88329\n630 943\n59338 89023\n42444 63621\n81073 100000\n66129 99194\n68345 100000\n34185 51263\n88405 100000\n35096 52630\n38162 57186\n16621 24939\n27067 40571\n6143 9273\n55893 83825\n32659 48984\n2025 3030\n75740 100000\n32418 48615\n909 1364\n24321 36470\n7830 11802\n4120 6186\n85530 100000\n56535 84794\n29213 43796\n76967 100000\n9699 14587\n61125 91709\n49026 73524\n58450 87685\n3787 5682\n91389 100000\n97689 100000\n25362 38019\n73559 100000\n64887 97339\n2125 3188\n99544 100000\n40028 59982\n63144 94757\n92061 100000\n75551 100000\n15771 23663\n44689 66971\n31881 47802\n45988 68935\n97966 100000\n96325 100000\n22336 33526\n93629 100000\n60407 90628\n4380 6585\n24124 36178\n64173 96276\n87821 100000\n73373 100000\n34616 51922\n10483 15786\n92930 100000\n18066 27085\n20461 30678\n84113 100000\n886 1328\n35087 52619\n56753 85125\n83210 100000\n91470 100000\n5254 7926\n57040 85566\n98750 100000\n14715 22081\n59073 88613\n21728 32593\n85845 100000\n43174 64690\n66602 99905\n69743 100000\n85928 100000\n2455 3686\n57497 86258\n10772 16223\n10090 15202\n66860 100000\n72975 100000\n15887 23831\n90980 100000\n56859 85291\n84046 100000\n1529 2303\n53912 80880\n78454 100000\n68290 100000\n56187 84271\n65542 98314\n32644 48959\n84 128\n59220 88838\n408 601\n78352 100000\n47936 71891\n31128 46661\n55309 82944\n46033 69004\n10243 15431\n5369 8103\n96936 100000\n5510 8310\n23954 35932\n13504 20279\n78965 100000\n35634 53439\n73236 100000\n82943 100000\n81355 100000\n54400 81600\n36708 55049\n36145 54204\n30018 45004\n25806 38696\n31474 47189\n43449 65103\n53244 79874\n65408 98114\n61431 92169\n8375 12604\n14412 21634\n47412 71100\n2344 3525\n10847 16338\n91127 100000\n57374 86078\n57550 86340\n73201 100000\n26768 40128\n44252 66308\n12034 18111\n79812 100000\n36212 54296\n96327 100000\n12830 19303\n77607 100000\n10677 16081\n74064 100000\n9779 14717\n14847 22278\n30274 45372\n45387 68014\n35249 52867\n4145 6225\n19362 29027\n25788 38670\n2507 3765\n20166 30246\n48284 72408\n32009 47999\n2106 3158\n63425 95164\n13148 19766\n34483 51718\n30701 46020\n71429 100000\n52907 79360\n23671 35515\n56128 84173\n54988 82447\n34533 51797\n62499 93759\n39802 59641\n6254 9445\n7694 11597\n82490 100000\n91363 100000\n19575 29350\n95391 100000\n9116 13713\n14535 21816\n24941 37390\n23544 35318\n81706 100000\n56177 84254\n34308 51447\n3631 5454\n72426 100000\n4038 6061\n75237 100000\n81406 100000\n57689 86548\n90897 100000\n28489 42710\n132 198\n41739 62565\n56721 85075\n62673 94026\n41576 62314\n55208 82779\n26077 39108\n6671 10078\n46504 69729\n84698 100000\n1328 1998\n46311 69438\n22091 33152\n61777 92682\n49303 73940\n15650 23489\n72030 100000\n92466 100000\n12316 18536\n62697 94060\n36851 55266\n21802 32710\n33333 49991\n70316 100000\n77868 100000\n47707 71551\n94160 100000\n63087 94668\n53688 80545\n15565 23364\n99094 100000\n19377 29050\n91622 100000\n67052 100000\n10897 16410\n57512 86282\n50118 75164\n74043 100000\n41726 62544\n62509 93772\n21199 31783\n3078 4627\n21422 32123\n37616 56384\n29443 44146\n97116 100000\n65905 98843\n59486 89242\n42563 63791\n6900 10415\n47863 71780\n27902 41831\n2899 4356\n5300 7999\n56455 84670\n72570 100000\n87809 100000\n69469 100000\n13331 20034\n28897 43325\n50265 75386\n66778 100000\n77231 100000\n46433 69623\n46944 70399\n39410 59038\n81816 100000\n58591 87891\n99224 100000\n20288 30426\n84090 100000\n34307 51446\n48090 72117\n36531 54791\n33414 50117\n24271 36394\n82815 100000\n31213 46791\n93827 100000\n5953 8992\n46975 70445\n38182 57219\n50740 76117\n26644 39946\n78474 100000\n40034 59990\n46867 70283\n66296 99441\n35252 52871\n47108 70638\n77215 100000\n99809 100000\n93751 100000\n45196 67729\n2223 3332\n74652 100000\n15729 23604\n40071 60047\n9351 14066\n68246 100000\n68600 100000\n91606 100000\n43987 65909\n64873 97318\n7447 11225\n19503 29240\n22089 33148\n78084 100000\n43983 65903\n5420 8181\n81410 100000\n33213 49821\n65539 98310\n87211 100000\n63928 95918\n23056 34594\n76776 100000\n96856 100000\n43298 64885\n67127 100000\n91169 100000\n91374 100000\n52661 78994\n59979 89992\n61685 92542\n11733 17657\n61546 92346\n4780 7200\n2721 4090\n45306 67891\n42931 64321\n40471 60644\n58856 88283\n97732 100000\n43111 64599\n18906 28340\n36186 54261\n18004 26995\n8889 13373\n51670 77517\n76748 100000\n65122 97693\n88376 100000\n52802 79203\n52062 78099\n6351 9598\n37157 55711\n73780 100000\n52978 79463\n66205 99302\n37252 55850\n14713 22077\n90118 100000\n97048 100000\n77088 100000\n83466 100000\n76342 100000\n63449 95197\n79751 100000\n14990 22490\n66235 99344\n35987 53967\n91621 100000\n58624 87943\n62223 93350\n32528 48789\n11410 17179\n21931 32910\n82173 100000\n17519 26283\n17877 26821\n48474 72691\n23918 35874\n63137 94746\n78219 100000\n96508 100000\n98408 100000\n17937 26900\n93931 100000\n93081 100000\n21950 32940\n81487 100000\n29250 43852\n8595 12945\n67912 100000\n50190 75275\n84453 100000\n4549 6841\n89185 100000\n14598 21911\n43283 64860\n98794 100000\n10444 15728\n49822 74721\n94300 100000\n66732 100000\n23321 34994\n37068 55580\n74236 100000\n93428 100000\n40767 61092\n27606 41386\n32505 48753\n70194 100000\n18394 27565\n94369 100000\n28585 42848\n38089 57077\n68228 100000\n18377 27539\n48108 72140\n86594 100000\n10134 15271\n3229 4851\n75485 100000\n57732 86611\n90261 100000\n40638 60893\n47587 71367\n19306 28947\n26104 39153\n59136 88709\n19866 29788\n99100 100000\n697 1037\n62264 93409\n74973 100000\n34049 51064\n53907 80871\n33950 50909\n72511 100000\n71961 100000\n84497 100000\n53558 80346\n57064 85603\n97827 100000\n84440 100000\n24796 37176\n4567 6871\n46068 69061\n92700 100000\n11279 16984\n91001 100000\n85578 100000\n71270 100000\n18331 27470\n41346 61960\n10552 15885\n87710 100000\n27517 41250\n95908 100000\n50562 75836\n117 176\n49618 74427\n24430 36628\n17927 26887\n66244 99357\n35599 53386\n64733 97113\n36366 54537\n64602 96916\n15412 23131\n44821 67161\n66264 99392\n9567 14391\n15149 22734\n43507 65187\n4953 7469\n21554 32315\n66448 99672\n14953 22434\n98342 100000\n23490 35244\n96940 100000\n75208 100000\n49998 74989\n92841 100000\n88888 100000\n49714 74570\n25311 37943\n82089 100000\n82647 100000\n37173 55731\n74056 100000\n19825 29726\n21147 31702\n18057 27073\n9629 14484\n58642 87971\n15132 22706\n75101 100000\n54337 81515\n98878 100000\n63768 95674\n72356 100000\n4504 6775\n82266 100000\n70713 100000\n88567 100000\n47171 70736\n9208 13849\n4337 6525\n19987 29977\n29577 44345\n36354 54517\n1301 1956\n61619 92445\n41274 61857\n75202 100000\n97712 100000\n84946 100000\n6223 9396\n88782 100000\n19299 28938\n7163 10798\n16479 24732\n90662 100000\n91998 100000\n23351 35039\n80758 100000\n40241 60301\n33581 50365\n98402 100000\n25160 37722\n59941 89936\n73829 100000\n75315 100000\n45667 68449\n2244 3367\n70474 100000\n92046 100000\n89796 100000\n69530 100000\n75433 100000\n17337 26013\n45001 67430\n91971 100000\n63130 94736\n78560 100000\n43141 64640\n75897 100000\n50899 76364\n16567 24860\n2933 4412\n23879 35813\n10960 16507\n61830 92763\n71096 100000\n67926 100000\n85452 100000\n55217 82792\n3354 5038\n81566 100000\n49622 74433\n37985 56928\n73187 100000\n99175 100000\n2034 3045\n79937 100000\n82889 100000\n8211 12359\n1115 1678\n95511 100000\n56813 85217\n76094 100000\n5444 8214\n37997 56946\n41135 61655\n57609 86428\n81764 100000\n9655 14522\n70225 100000\n72527 100000\n14057 21099\n21053 31566\n27351 40993\n47562 71331\n91119 100000\n5766 8695\n41799 62648\n62013 93037\n95716 100000\n9324 14026\n43391 65016\n13879 20841\n13163 19789\n41286 61872\n99012 100000\n32199 48283\n81489 100000\n23838 35751\n82535 100000\n32869 49296\n1059 1591\n64701 97070\n31297 46918\n20335 30489\n21767 32658\n67823 100000\n34513 51762\n50807 76215\n69803 100000\n48940 73396\n19466 29183\n94105 100000\n6178 9329\n20848 31253\n21405 32095\n50641 75951\n58485 87733\n73543 100000\n23847 35764\n51177 76785\n42307 63413\n34862 52288\n40514 60703\n32438 48646\n35801 53686\n13261 19930\n69703 100000\n42247 63322\n48103 72135\n18247 27342\n50000 74993\n48472 72688\n69841 100000\n90503 100000\n90339 100000\n88491 100000\n44512 66705\n91766 100000\n8345 12554\n46817 70207\n68959 100000\n21584 32362\n16948 25418\n95099 100000\n35926 53872\n18505 27731\n7618 11481\n69711 100000\n27221 40800\n45760 68589\n40141 60157\n96592 100000\n29029 43523\n5467 8250\n33287 49928\n14914 22376\n18098 27131\n27773 41631\n21925 32901\n16311 24484\n4976 7505\n98298 100000\n25424 38116\n87209 100000\n38458 57634\n13286 19965\n85628 100000\n59070 88610\n83760 100000\n88286 100000\n78706 100000\n23711 35571\n31102 46624\n39471 59130\n39188 58710\n93098 100000\n5751 8669\n39258 58813\n78539 100000\n65744 98612\n65514 98271\n7659 11543\n24675 36993\n28497 42723\n98552 100000\n10221 15399\n21403 32092\n26985 40446\n80135 100000\n91254 100000\n18719 28065\n5077 7657\n56863 85297\n54870 82281\n1775 2659\n49231 73826\n6423 9700\n22634 33962\n73914 100000\n78514 100000\n55668 83485\n72265 100000\n70763 100000\n69304 100000\n8310 12502\n68475 100000\n85704 100000\n67991 100000\n82692 100000\n58479 87724\n29417 44110\n82239 100000\n50662 75984\n89372 100000\n42980 64397\n4563 6864\n82523 100000\n73179 100000\n13584 20396\n26804 40179\n11478 17282\n99227 100000\n70627 100000\n73526 100000\n3601 5408\n81945 100000\n58503 87760\n22624 33946\n10063 15164\n6426 9705\n99521 100000\n25804 38692\n19010 28504\n23402 35110\n40840 61203\n53756 80650\n40130 60136\n34445 51654\n71402 100000\n30883 46302\n69235 100000\n9164 13787\n89664 100000\n99487 100000\n46528 69768\n73900 100000\n11067 16666\n46343 69488\n55565 83330\n61300 91968\n26692 40020\n76563 100000\n38231 57290\n73229 100000\n49386 74066\n79535 100000\n26606 39886\n95790 100000\n5236 7898\n17360 26045\n49125 73664\n70006 100000\n84558 100000\n83180 100000\n58897 88342\n80901 100000\n90678 100000\n21801 32709\n14281 21433\n24220 36318\n71697 100000\n24959 37417\n99034 100000\n58611 87921\n91066 100000\n9049 13617\n18452 27648\n68287 100000\n18787 28166\n68110 100000\n81783 100000\n79175 100000\n25426 38118\n15991 23991\n67570 100000\n81263 100000\n86753 100000\n74892 100000\n70161 100000\n8446 12717\n7729 11653\n78764 100000\n88644 100000\n94580 100000\n54088 81146\n48093 72121\n36928 55378\n51655 77494\n62124 93203\n16784 25174\n95023 100000\n24606 36886\n84427 100000\n16127 24197\n81605 100000\n23850 35769\n18916 28353\n37687 56487\n24898 37329\n12122 18247\n95204 100000\n99010 100000\n15748 23631\n37001 55482\n24443 36650\n7395 11146\n21234 31834\n93669 100000\n38976 58398\n80488 100000\n71254 100000\n30972 46433\n14363 21560\n42278 63372\n33250 49873\n80989 100000\n25467 38178\n88118 100000\n75474 100000\n12787 19240\n65488 98232\n27330 40962\n75293 100000\n11252 16945\n84315 100000\n80866 100000\n81026 100000\n65183 97779\n32226 48323\n70209 100000\n14417 21641\n54286 81436\n99868 100000\n47827 71731\n56887 85332\n52141 78222\n55732 83577\n81806 100000\n19320 28967\n8096 12196\n66321 99483\n75736 100000\n73956 100000\n60367 90568\n89098 100000\n81422 100000\n42704 63990\n50315 75462\n78299 100000\n99246 100000\n18045 27056\n62903 94380\n97687 100000\n47404 71088\n61070 91625\n41257 61829\n65292 97935\n4032 6051\n46078 69076\n90432 100000\n80654 100000\n76083 100000\n71329 100000\n83636 100000\n76465 100000\n84011 100000\n11583 17440\n77869 100000\n55405 83092\n18220 27302\n94257 100000\n68842 100000\n6813 10288\n97585 100000\n61882 92843\n85057 100000\n72233 100000\n2549 3833\n23936 35906\n8148 12268\n57804 86713\n65310 97961\n93747 100000\n14000 21014\n26746 40095\n66773 100000\n17565 26354\n23919 35875\n60882 91340\n34836 52251\n7328 11044\n17963 26933\n99332 100000\n15832 23751\n94041 100000\n22663 34004\n61652 92494\n89636 100000\n77823 100000\n53038 79555\n47485 71214\n36306 54449\n3742 5617\n96911 100000\n80852 100000\n27706 41534\n83804 100000\n86825 100000\n84592 100000\n9176 13804\n16850 25269\n79578 100000\n18612 27891\n77389 100000\n58860 88287\n98189 100000\n24270 36392\n43345 64949\n77402 100000\n94048 100000\n83136 100000\n78561 100000\n45751 68577\n55778 83648\n64987 97490\n71233 100000\n92569 100000\n66380 99572\n20534 30792\n11625 17502\n23344 35028\n41016 61479\n21930 32908\n61754 92649\n76163 100000\n65902 98840\n66996 100000\n95877 100000\n23322 34996\n54776 82140\n46738 70086\n43961 65870\n22080 33136\n19577 29353\n91815 100000\n71695 100000\n15264 22911\n22189 33308\n2120 3181\n91242 100000\n5325 8038\n56034 84036\n88440 100000\n94950 100000\n96269 100000\n47420 71110\n30800 46174\n22240 33389\n35236 52846\n3491 5248\n82850 100000\n66668 100000\n25554 38306\n84994 100000\n16478 24730\n80528 100000\n81488 100000\n36872 55295\n26345 39504\n21873 32823\n60091 90165\n31015 46496\n57297 85961\n37712 56521\n57320 85996\n76242 100000\n1968 2946\n38900 58285\n5674 8556\n18545 27793\n54976 82431\n71837 100000\n36858 55277\n2816 4231\n43063 64527\n51613 77432\n74167 100000\n41993 62946\n56160 84225\n8448 12719\n66323 99486\n81444 100000\n40062 60033\n98425 100000\n4009 6016\n80422 100000\n35110 52651\n3865 5799\n79949 100000\n55205 82776\n10237 15423\n55704 83537\n7021 10590\n38312 57415\n39393 59016\n32452 48668\n38224 57279\n68251 100000\n32764 49141\n24338 36496\n59888 89854\n41007 61465\n7616 11479\n27958 41916\n42333 63453\n71964 100000\n32074 48100\n79229 100000\n57198 85808\n54585 81862\n52928 79389\n85979 100000\n18509 27737\n60646 90984\n34517 51769\n62945 94448\n23204 34814\n29925 44867\n17051 25582\n68269 100000\n12066 18165\n14183 21285\n34598 51894\n16714 25077\n11400 17163\n33789 50674\n3128 4703\n25380 38048\n85048 100000\n66237 99347\n57607 86424\n78043 100000\n33394 50088\n56808 85210\n38383 57523\n83927 100000\n80383 100000\n87272 100000\n93460 100000\n18912 28347\n48949 73408\n1951 2919\n50153 75217\n5552 8373\n11430 17208\n40473 60647\n18718 28064\n35707 53542\n80851 100000\n15481 23230\n993 1492\n20899 31329\n28209 42288\n53095 79649\n27898 41826\n23665 35506\n81561 100000\n29380 44045\n53350 80019\n21251 31858\n47331 70980\n62455 93695\n90941 100000\n24659 36969\n4101 6158\n75341 100000\n28785 43145\n51662 77504\n68674 100000\n18649 27953\n52966 79443\n25545 38294\n66808 100000\n43109 64595\n19555 29320\n69616 100000\n47310 70945\n47186 70757\n85689 100000\n50962 76462\n83998 100000\n81004 100000\n24804 37188\n35289 52922\n11545 17381\n81656 100000\n85791 100000\n69953 100000\n20775 31149\n27879 41797\n17831 26747\n70427 100000\n48675 73005\n98528 100000\n66770 100000\n5616 8470\n43708 65490\n54059 81103\n39927 59830\n17464 26202\n64743 97128\n24629 36920\n63943 95938\n90868 100000\n64811 97222\n20902 31333\n94366 100000\n65271 97906\n16703 25062\n54877 82290\n28714 43045\n21875 32827\n44167 66181\n70895 100000\n56335 84494\n38545 57765\n86913 100000\n11200 16867\n1314 1975\n44603 66846\n18558 27809\n53322 79982\n79720 100000\n37401 56072\n67453 100000\n90864 100000\n62445 93680\n42350 63480\n97661 100000\n33323 49975\n41679 62471\n38082 57067\n17389 26091\n59333 89014\n18708 28049\n54063 81109\n94608 100000\n31154 46699\n31126 46659\n56913 85371\n78283 100000\n13870 20826\n34586 51878\n52464 78700\n83448 100000\n10156 15302\n72117 100000\n71305 100000\n45513 68201\n89921 100000\n47806 71698\n22039 33080\n21997 33010\n60232 90375\n12837 19312\n18129 27172\n99998 100000\n44502 66690\n48439 72638\n78935 100000\n78562 100000\n54531 81785\n15445 23179\n73127 100000\n19036 28543\n79246 100000\n73644 100000\n63053 94612\n78384 100000\n96219 100000\n38979 58402\n61887 92848\n68907 100000\n74872 100000\n81880 100000\n79517 100000\n63091 94673\n58092 87154\n18416 27598\n10598 15961\n36877 55303\n79516 100000\n60187 90309\n20888 31312\n75412 100000\n72468 100000\n8328 12531\n99737 100000\n93729 100000\n10103 15226\n43571 65282\n13342 20050\n89075 100000\n52151 78236\n33196 49799\n88122 100000\n7733 11660\n23812 35717\n92014 100000\n25463 38172\n18284 27399\n59048 88576\n74597 100000\n9113 13708\n96362 100000\n78886 100000\n27030 40514\n51851 77778\n61918 92897\n83711 100000\n90957 100000\n95061 100000\n27907 41840\n31633 47427\n4686 7058\n52541 78815\n77107 100000\n431 636\n93772 100000\n36552 54821\n74130 100000\n49352 74013\n57870 86812\n95837 100000\n28996 43468\n6175 9326\n95866 100000\n3080 4629\n40923 61333\n30666 45968\n92226 100000\n66762 100000\n97446 100000\n21995 33007\n36213 54297\n65130 97704\n63038 94590\n26750 40101\n35895 53826\n91467 100000\n63045 94601\n71086 100000\n72417 100000\n63278 94945\n7545 11373\n85137 100000\n16216 24334\n81482 100000\n29373 44035\n5053 7622\n74180 100000\n73070 100000\n64783 97180\n24163 36239\n97861 100000\n7895 11900\n86442 100000\n17931 26892\n97762 100000\n74309 100000\n86596 100000\n99970 100000\n1417 2134\n49739 74605\n52905 79358\n13751 20646\n68807 100000\n75361 100000\n40109 60106\n42620 63875\n25541 38288\n99679 100000\n62810 94232\n9560 14381\n43573 65285\n43710 65493\n93427 100000\n293 427\n59193 88794\n83024 100000\n45721 68532\n31003 46477\n5878 8871\n82165 100000\n56601 84902\n42810 64141\n59252 88887\n64668 97017\n38027 56989\n56353 84517\n45023 67459\n62306 93469\n60664 91012\n16909 25356\n43695 65469\n98641 100000\n12465 18759\n72090 100000\n75978 100000\n62105 93172\n82624 100000\n82998 100000\n14763 22153\n17309 25970\n14802 22211\n73404 100000\n23260 34900\n10803 16273\n63135 94743\n70268 100000\n28983 43449\n25401 38082\n56003 83988\n41045 61526\n4823 7266\n82435 100000\n89478 100000\n54062 81107\n78761 100000\n98568 100000\n24566 36829\n79606 100000\n8044 12116\n19199 28792\n88970 100000\n85922 100000\n13223 19875\n55953 83916\n41190 61730\n58757 88138\n31321 46956\n55423 83119\n38919 58313\n62975 94494\n67843 100000\n1425 2144\n9264 13935\n18199 27273\n91750 100000\n42812 64144\n82365 100000\n1845 2762\n78663 100000\n71755 100000\n11836 17807\n57148 85731\n5121 7725\n41052 61536\n10501 15811\n71311 100000\n79424 100000\n30892 46315\n99859 100000\n28368 42524\n4329 6512\n43889 65762\n47181 70749\n28516 42752\n48327 72471\n97396 100000\n6063 9158\n995 1495\n33698 50539\n6833 10318\n48536 72792\n45337 67936\n75313 100000\n75955 100000\n61946 92933\n55470 83191\n58476 87720\n68892 100000\n93317 100000\n86826 100000\n6744 10186\n37903 56806\n10655 16046\n33910 50849\n25348 37998\n46085 69085\n27038 40527\n73301 100000\n48304 72436\n4856 7320\n37670 56463\n95771 100000\n10397 15661\n48071 72089\n1708 2566\n56537 84797\n94590 100000\n14245 21373\n36162 54228\n49381 74059\n35127 52675\n59992 90014\n5383 8125\n98321 100000\n40005 59947\n49309 73950\n42199 63252\n4144 6223\n90711 100000\n77126 100000\n92432 100000\n592 889\n10942 16479\n85892 100000\n35177 52755\n12147 18287\n97677 100000\n72727 100000\n35200 52791\n64155 96252\n98785 100000\n87857 100000\n47109 70640\n88887 100000\n3955 5936\n98005 100000\n44341 66441\n37658 56445\n67585 100000\n7695 11599\n71946 100000\n65368 98052\n67001 100000\n10131 15266\n43257 64819\n8784 13219\n78765 100000\n55577 83348\n14538 21821\n61526 92310\n69951 100000\n45695 68495\n13797 20715\n87648 100000\n96198 100000\n92916 100000\n85128 100000\n56217 84315\n17475 26218\n70325 100000\n50108 75148\n83971 100000\n48309 72444\n28414 42595\n57534 86317\n8940 13450\n85024 100000\n82679 100000\n79870 100000\n60576 90887\n31825 47718\n37484 56191\n90250 100000\n79177 100000\n81682 100000\n70638 100000\n22290 33460\n23140 34719\n35889 53818\n1797 2690\n5791 8733\n87861 100000\n93679 100000\n35101 52637\n41401 62045\n70371 100000\n48533 72787\n56014 84005\n16119 24186\n16695 25051\n31828 47722\n88891 100000\n53399 80095\n81907 100000\n84674 100000\n34647 51970\n96294 100000\n88498 100000\n55296 82926\n33406 50106\n90986 100000\n4068 6104\n300 439\n10908 16426\n78372 100000\n18812 28200\n34129 51181\n38845 58199\n37024 55513\n64819 97232\n84619 100000\n86409 100000\n34554 51827\n19243 28854\n7175 10815\n7092 10693\n22982 34488\n23267 34910\n18626 27915\n70310 100000\n113 170\n83539 100000\n19353 29016\n91753 100000\n201 298\n59231 88858\n26949 40393\n47071 70586\n20591 30888\n2316 3479\n53862 80804\n45979 68924\n59467 89212\n51900 77851\n79862 100000\n40350 60466\n50837 76265\n92321 100000\n29932 44879\n50822 76240\n83213 100000\n95750 100000\n46044 69022\n9932 14957\n55390 83070\n79370 100000\n79475 100000\n76015 100000\n17239 25860\n99549 100000\n84992 100000\n63849 95797\n70118 100000\n10648 16037\n70807 100000\n64094 96161\n61606 92427\n79211 100000\n85666 100000\n28181 42247\n90862 100000\n82795 100000\n76658 100000\n72798 100000\n80483 100000\n16669 25011\n78928 100000\n31923 47861\n97532 100000\n1054 1583\n7221 10882\n67927 100000\n10691 16100\n51665 77509\n28995 43467\n73441 100000\n83745 100000\n86783 100000\n34876 52309\n38710 57998\n60408 90629\n55571 83339\n63223 94866\n18364 27519\n58684 88031\n25598 38380\n63700 95565\n50474 75702\n54737 82086\n67996 100000\n18554 27804\n14426 21654\n35755 53618\n49886 74817\n53596 80409\n99795 100000\n89572 100000\n32733 49094\n45153 67664\n56702 85046\n20554 30826\n68945 100000\n34581 51871\n2912 4377\n20711 31055\n90418 100000\n58055 87099\n88309 100000\n5223 7878\n5164 7792\n60495 90762\n99107 100000\n51101 76671\n24487 36714\n24707 37039\n43631 65374\n36927 55376\n41272 61854\n14610 21929\n66373 99561\n14794 22197\n70246 100000\n22899 34360\n41214 61767\n1356 2043\n26635 39933\n28631 42918\n34256 51369\n97007 100000\n88820 100000\n29815 44703\n63189 94826\n33386 50074\n66072 99106\n7078 10672\n24267 36387\n23946 35918\n79837 100000\n24069 36099\n12619 18989\n36692 55023\n8620 12985\n36232 54327\n4167 6257\n94209 100000\n75134 100000\n28077 42098\n61806 92724\n97618 100000\n56436 84639\n87360 100000\n63035 94585\n85902 100000\n87798 100000\n95509 100000\n70900 100000\n84746 100000\n25098 37633\n51784 77682\n88154 100000\n52219 78336\n58179 87282\n48598 72888\n32447 48661\n23582 35380\n29159 43714\n79990 100000\n87221 100000\n41191 61732\n11427 17203\n49954 74920\n10194 15359\n48620 72924\n48702 73045\n56314 84462\n23714 35575\n94751 100000\n26977 40434\n97155 100000\n30058 45059\n30736 46075\n13083 19672\n47614 71407\n81926 100000\n38251 57324\n13216 19864\n85527 100000\n34505 51749\n72659 100000\n36736 55094\n72666 100000\n39792 59624\n78682 100000\n27960 41919\n3720 5583\n14203 21315\n89522 100000\n29964 44924\n19292 28926\n48511 72754\n25106 37647\n6155 9293\n94357 100000\n39663 59422\n75117 100000\n15052 22583\n62620 93947\n29459 44168\n25369 38030\n4491 6758\n11661 17549\n30341 45466\n97882 100000\n35260 52880\n28914 43350\n29694 44523\n28201 42276\n1107 1666\n33517 50272\n63654 95498\n79076 100000\n72548 100000\n82172 100000\n34471 51695\n80705 100000\n16756 25136\n65031 97558\n90044 100000\n60856 91297\n96689 100000\n56758 85133\n35497 53233\n9141 13751\n61630 92460\n53644 80479\n83624 100000\n5455 8233\n56159 84223\n8334 12539\n7094 10695\n89002 100000\n60146 90247\n48760 73129\n75617 100000\n17485 26234\n39982 59916\n26338 39494\n2907 4368\n71236 100000\n95185 100000\n76078 100000\n3242 4871\n8193 12334\n96039 100000\n56932 85398\n99912 100000\n21356 32019\n42443 63619\n60251 90402\n84893 100000\n29658 44466\n49534 74296\n9531 14338\n86375 100000\n10782 16237\n94024 100000\n48984 73460\n89070 100000\n45275 67844\n91653 100000\n19342 29000\n74431 100000\n74146 100000\n31138 46677\n40642 60898\n1168 1762\n10358 15601\n93021 100000\n81456 100000\n92554 100000\n19567 29338\n58898 88343\n85715 100000\n47959 71921\n84853 100000\n62240 93373\n106 160\n46232 69311\n19158 28727\n64771 97167\n70584 100000\n37269 55877\n20477 30701\n3756 5634\n12345 18582\n70341 100000\n59574 89382\n80115 100000\n22593 33903\n78746 100000\n96340 100000\n27307 40926\n76336 100000\n74995 100000\n12868 19352\n42260 63342\n35819 53713\n84637 100000\n16657 24992\n49489 74223\n86937 100000\n21489 32221\n90804 100000\n39521 59208\n84771 100000\n91220 100000\n50656 75976\n5413 8167\n80169 100000\n62998 94529\n95457 100000\n23655 35489\n44859 67222\n9151 13766\n83350 100000\n67900 100000\n4737 7135\n26895 40314\n79848 100000\n28016 42012\n82872 100000\n86956 100000\n39526 59216\n79774 100000\n80402 100000\n26168 39245\n57668 86515\n93289 100000\n60346 90539\n51948 77923\n28208 42287\n7521 11334\n4846 7303\n97196 100000\n91517 100000\n20136 30198\n42312 63422\n11111 16732\n19260 28878\n16612 24924\n17620 26433\n21917 32890\n82058 100000\n30113 45141\n36340 54497\n37768 56607\n5048 7614\n25496 38221\n77605 100000\n38561 57789\n47970 71934\n27357 41002\n21329 31976\n83102 100000\n20302 30446\n39468 59125\n40010 59953\n42976 64391\n57704 86571\n28459 42661\n56797 85195\n33525 50284\n96026 100000\n72820 100000\n79767 100000\n56923 85385\n46682 69996\n26431 39636\n45952 68879\n29970 44933\n66809 100000\n74605 100000\n2236 3354\n83267 100000\n428 631\n61780 92687\n37624 56394\n27398 41061\n6251 9441\n42230 63295\n90207 100000\n88808 100000\n71766 100000\n70569 100000\n93960 100000\n19572 29347\n1597 2399\n74205 100000\n5209 7859\n11662 17551\n68989 100000\n87799 100000\n93787 100000\n42468 63657\n99262 100000\n47388 71063\n2761 4149\n1661 2496\n77635 100000\n71454 100000\n97781 100000\n57795 86701\n59038 88560\n80790 100000\n90197 100000\n29463 44175\n41344 61956\n59380 89087\n88706 100000\n54670 81987\n95399 100000\n48737 73096\n41373 62002\n82784 100000\n92592 100000\n47974 71939\n93330 100000\n40105 60098\n58145 87233\n90987 100000\n54547 81807\n25219 37808\n74676 100000\n93612 100000\n4571 6876\n96560 100000\n96802 100000\n79340 100000\n24457 36670\n385 565\n45119 67609\n27133 40672\n92264 100000\n29892 44814\n37828 56694\n73892 100000\n81473 100000\n85684 100000\n60305 90478\n401 591\n9378 14104\n61257 91903\n7082 10678\n6754 10198\n49537 74302\n7115 10727\n43751 65553\n82201 100000\n87872 100000\n56595 84893\n66690 100000\n3383 5083\n68377 100000\n26673 39990\n12641 19021\n62200 93311\n30348 45478\n88843 100000\n8537 12860\n2682 4032\n35045 52559\n1490 2245\n77845 100000\n52581 78877\n12521 18843\n55483 83210\n19650 29461\n98112 100000\n63390 95109\n89275 100000\n87458 100000\n93496 100000\n46316 69444\n70349 100000\n13352 20066\n43439 65087\n90812 100000\n55558 83322\n4942 7455\n48025 72017\n23264 34905\n51852 77779\n96607 100000\n27530 41270\n39923 59824\n90346 100000\n75076 100000\n75621 100000\n95042 100000\n71819 100000\n65435 98152\n15967 23954\n62965 94479\n21286 31910\n98788 100000\n43530 65223\n8786 13222\n54290 81442\n6150 9285\n4693 7069\n97087 100000\n92375 100000\n69301 100000\n66966 100000\n49283 73907\n82067 100000\n6493 9808\n65046 97576\n54895 82315\n61166 91770\n98067 100000\n96914 100000\n98192 100000\n92475 100000\n88714 100000\n35330 52980\n28348 42496\n91806 100000\n28975 43439\n72118 100000\n36252 54360\n19692 29528\n84684 100000\n33100 49658\n57428 86156\n18204 27281\n70854 100000\n95993 100000\n60786 91184\n96233 100000\n92703 100000\n41198 61745\n26966 40417\n70030 100000\n65981 98964\n40376 60504\n82418 100000\n65249 97877\n11205 16874\n29290 43915\n91629 100000\n63121 94720\n61737 92624\n76777 100000\n44896 67275\n77270 100000\n71418 100000\n51882 77824\n81582 100000\n75784 100000\n37418 56097\n47117 70654\n13864 20816\n8892 13376\n3853 5782\n13848 20792\n42215 63275\n93485 100000\n37395 56064\n27782 41643\n9704 14594\n3768 5650\n72492 100000\n39314 58896\n66356 99535\n27931 41872\n14777 22171\n76411 100000\n35302 52940\n60963 91465\n31883 47805\n19032 28537\n82566 100000\n94881 100000\n38688 57969\n70377 100000\n48918 73366\n36484 54715\n51000 76524\n8803 13246\n64604 96919\n4580 6891\n77638 100000\n58855 88282\n801 1202\n24899 37330\n67353 100000\n29381 44047\n75153 100000\n64343 96534\n7390 11136\n23406 35116\n65986 98972\n7010 10573\n36919 55365\n55283 82904\n61319 91998\n26959 40407\n57773 86672\n12534 18862\n1477 2223\n9951 14989\n7424 11187\n65903 98841\n93070 100000\n92164 100000\n19168 28743\n95223 100000\n3024 4547\n49061 73575\n92823 100000\n72720 100000\n79254 100000\n85605 100000\n14831 22255\n32469 48696\n82844 100000\n52899 79347\n96611 100000\n25868 38789\n63518 95299\n32137 48191\n48774 73149\n42641 63906\n5005 7546\n52002 78010\n51574 77373\n41880 62775\n65709 98561\n98278 100000\n11330 17057\n65181 97775\n72501 100000\n48961 73427\n74857 100000\n20493 30729\n81712 100000\n972 1460\n80914 100000\n62112 93183\n10025 15102\n85292 100000\n45036 67481\n36891 55324\n10571 15917\n34640 51960\n65602 98404\n77996 100000\n44746 67056\n397 584\n62914 94397\n99088 100000\n90950 100000\n3021 4542\n10267 15466\n8927 13430\n68547 100000\n90094 100000\n11940 17966\n53042 79561\n91020 100000\n31902 47832\n81821 100000\n59135 88708\n23154 34739\n765 1145\n65693 98540\n1982 2967\n94886 100000\n19625 29428\n25231 37825\n10883 16389\n25267 37879\n36843 55255\n24687 37009\n2030 3039\n79394 100000\n44584 66822\n74781 100000\n10362 15608\n89694 100000\n43989 65912\n65830 98733\n45569 68286\n44862 67226\n12144 18282\n10451 15737\n45757 68584\n37134 55677\n39734 59530\n23636 35462\n80393 100000\n2622 3936\n28357 42508\n44887 67261\n48172 72239\n868 1304\n78418 100000\n47480 71206\n49142 73691\n60294 90459\n67363 100000\n94501 100000\n89406 100000\n97699 100000\n3782 5673\n45369 67987\n59865 89819\n7678 11572\n78078 100000\n15107 22666\n58383 87585\n81658 100000\n81034 100000\n29682 44505\n26366 39537\n3481 5233\n59495 89259\n71888 100000\n5597 8444\n35775 53648\n27906 41838\n14660 22003\n89605 100000\n61429 92165\n3522 5290\n9731 14640\n94147 100000\n37981 56921\n19953 29921\n69019 100000\n45066 67529\n42925 64313\n48288 72412\n64061 96114\n84812 100000\n30614 45890\n57276 85928\n2993 4499\n21182 31758\n12474 18775\n33644 50460\n12163 18312\n20998 31474\n42089 63087\n18603 27876\n18537 27781\n34677 52016\n16674 25019\n39742 59542\n60837 91267\n13439 20195\n49716 74572\n3267 4910\n49300 73935\n27140 40682\n20921 31363\n31230 46814\n15381 23087\n7848 11830\n52269 78412\n53773 80675\n58272 87424\n70917 100000\n564 848\n84244 100000\n71926 100000\n13375 20101\n92926 100000\n48778 73155\n47156 70710\n59247 88881\n37542 56276\n59527 89308\n32697 49038\n79037 100000\n51695 77556\n15616 23440\n52756 79132\n66396 99596\n15963 23948\n80159 100000\n91861 100000\n5624 8482\n4026 6042\n96484 100000\n68351 100000\n14845 22275\n10498 15805\n14024 21046\n69347 100000\n12832 19306\n10012 15083\n6699 10119\n38022 56982\n93220 100000\n30959 46415\n98557 100000\n16636 24961\n12729 19159\n15838 23760\n57433 86162\n43407 65040\n15790 23691\n13566 20371\n16747 25124\n13358 20074\n28792 43158\n16237 24366\n18966 28435\n25286 37906\n15637 23472\n14724 22092\n81128 100000\n34230 51331\n41111 61624\n28611 42889\n29752 44614\n62285 93437\n19765 29637\n90972 100000\n15203 22820\n14276 21423\n57859 86796\n8288 12468\n46118 69133\n57324 86000\n83577 100000\n13753 20649\n44884 67258\n20070 30100\n91035 100000\n55356 83013\n81381 100000\n66193 99284\n80749 100000\n15399 23109\n29494 44222\n73705 100000\n12292 18502\n87351 100000\n53253 79886\n44336 66435\n67179 100000\n76760 100000\n44677 66957\n66897 100000\n68958 100000\n459 682\n616 923\n13887 20853\n22468 33725\n32797 49191\n61096 91664\n2796 4201\n79789 100000\n12667 19064\n84322 100000\n11435 17216\n54106 81171\n68620 100000\n86752 100000\n12490 18798\n68025 100000\n35655 53469\n68312 100000\n32118 48163\n35971 53943\n83268 100000\n98156 100000\n15183 22785\n83369 100000\n60984 91494\n27395 41057\n88707 100000\n27562 41319\n86197 100000\n55976 83950\n55249 82849\n38362 57489\n84466 100000\n50097 75132\n3409 5123\n5232 7890\n31889 47815\n53511 80271\n44577 66811\n20320 30467\n65955 98923\n43553 65258\n92443 100000\n66975 100000\n90846 100000\n51108 76682\n56500 84737\n42094 63095\n67507 100000\n61335 92022\n90921 100000\n73035 100000\n30673 45980\n61933 92917\n65800 98692\n30870 46282\n34117 51162\n27021 40501\n14710 22074\n13755 20652\n79861 100000\n46374 69537\n6783 10244\n4006 6013\n16719 25084\n21344 31998\n21630 32438\n34163 51233\n79125 100000\n31073 46581\n86511 100000\n42962 64369\n48362 72521\n49687 74533\n97545 100000\n31275 46884\n8549 12878\n65995 98986\n82829 100000\n40529 60730\n2614 3923\n17677 26519\n23755 35637\n63357 95059\n93711 100000\n87535 100000\n98400 100000\n6789 10253\n77103 100000\n92646 100000\n22499 33765\n29202 43780\n34944 52413\n87990 100000\n92520 100000\n63757 95657\n51239 76880\n38467 57647\n96047 100000\n41675 62465\n29251 43854\n40428 60582\n52844 79265\n61763 92664\n54429 81640\n78028 100000\n26700 40032\n52587 78885\n17516 26278\n44624 66877\n81145 100000\n99926 100000\n47560 71329\n63713 95584\n9163 13785\n77384 100000\n35888 53817\n27909 41843\n17198 25802\n96725 100000\n75875 100000\n68142 100000\n27641 41438\n69338 100000\n53527 80294\n78327 100000\n81942 100000\n78191 100000\n68195 100000\n3753 5630\n38150 57168\n61545 92344\n65552 98327\n92550 100000\n69997 100000\n15890 23837\n87544 100000\n38542 57760\n71353 100000\n1522 2293\n48152 72208\n48200 72281\n28698 43020\n41193 61736\n1950 2917\n21226 31821\n87836 100000\n56483 84714\n76672 100000\n34553 51826\n96200 100000\n8684 13073\n82376 100000\n75610 100000\n69842 100000\n78457 100000\n45123 67615\n34342 51502\n67970 100000\n87435 100000\n33274 49907\n61745 92636\n13744 20635\n20723 31074\n48558 72825\n81627 100000\n68685 100000\n61858 92806\n30298 45406\n59369 89071\n65822 98724\n13978 20981\n30714 46039\n45169 67689\n2888 4340\n64784 97181\n46117 69132\n25304 37934\n53318 79977\n46074 69070\n63786 95699\n3251 4886\n69870 100000\n57472 86223\n69790 100000\n41053 61538\n13046 19618\n29612 44395\n75330 100000\n11380 17134\n27531 41271\n83818 100000\n80882 100000\n3398 5106\n80045 100000\n48637 72948\n56928 85392\n50790 76189\n31751 47605\n73652 100000\n32210 48299\n25280 37898\n63061 94626\n30497 45712\n30093 45112\n65159 97747\n13381 20109\n34950 52422\n25018 37509\n899 1347\n94825 100000\n81429 100000\n74409 100000\n96480 100000\n71277 100000\n74664 100000\n20664 30988\n12429 18702\n30796 46169\n63465 95222\n59918 89898\n9719 14621\n20305 30449\n24568 36833\n95008 100000\n75287 100000\n45900 68800\n99380 100000\n60 91\n84873 100000\n5239 7903\n27721 41557\n76386 100000\n61519 92300\n9596 14433\n68728 100000\n89530 100000\n56597 84896\n38518 57728\n11987 18037\n44499 66685\n57817 86731\n87122 100000\n52321 78487\n85091 100000\n29078 43595\n10866 16366\n56749 85119\n77670 100000\n73455 100000\n94231 100000\n59405 89121\n41414 62065\n13773 20675\n83800 100000\n86461 100000\n93059 100000\n99373 100000\n29280 43901\n17283 25928\n47000 70488\n94042 100000\n56109 84146\n66428 99639\n20458 30673\n20569 30851\n84755 100000\n48845 73252\n97948 100000\n70690 100000\n42381 63525\n69402 100000\n98139 100000\n31263 46867\n23826 35733\n9920 14936\n3864 5798\n98701 100000\n94559 100000\n34989 52479\n5065 7639\n39041 58494\n83220 100000\n67520 100000\n54779 82144\n95885 100000\n4482 6745\n75467 100000\n53627 80456\n45795 68641\n10570 15915\n77073 100000\n21451 32165\n21588 32369\n42157 63192\n23183 34781\n26779 40145\n64005 96032\n66119 99179\n82328 100000\n74149 100000\n62092 93154\n99526 100000\n50654 75972\n29785 44661\n26123 39181\n13285 19964\n606 909\n76602 100000\n72937 100000\n52602 78910\n34814 52220\n91627 100000\n3350 5031\n76088 100000\n16299 24461\n77739 100000\n26271 39397\n59323 88998\n64444 96685\n80084 100000\n36176 54249\n53960 80950\n28339 42483\n61039 91576\n56657 84986\n15248 22887\n27849 41751\n27 39\n85565 100000\n95014 100000\n76737 100000\n6237 9420\n78447 100000\n18779 28154\n59923 89905\n34021 51019\n54888 82307\n39434 59073\n46810 70197\n86694 100000\n16755 25134\n25359 38014\n19296 28933\n33591 50378\n33544 50309\n57222 85842\n84802 100000\n3557 5338\n78659 100000\n6383 9644\n73600 100000\n91849 100000\n90470 100000\n64093 96160\n55629 83427\n86569 100000\n34419 51619\n31916 47850\n50757 76143\n41942 62867\n35211 52808\n45902 68804\n57264 85907\n81103 100000\n17768 26653\n58142 87230\n46739 70088\n25321 37959\n35091 52624\n59492 89253\n95728 100000\n57 86\n27519 41253\n78669 100000\n38532 57747\n91187 100000\n42321 63433\n15304 22968\n40461 60630\n42937 64330\n70799 100000\n73955 100000\n94404 100000\n21111 31650\n13605 20426\n10829 16309\n26541 39791\n47460 71172\n49836 74741\n49263 73875\n31950 47900\n51945 77919\n84993 100000\n87793 100000\n23367 35063\n97490 100000\n64405 96625\n20764 31134\n2510 3769\n27847 41748\n8090 12187\n27041 40530\n19556 29321\n48556 72822\n82693 100000\n89760 100000\n96591 100000\n79792 100000\n58748 88126\n29940 44891\n89989 100000\n55459 83175\n35621 53420\n55135 82676\n5957 8999\n35837 53741\n31594 47365\n30667 45970\n76540 100000\n88070 100000\n30832 46223\n8523 12835\n46729 70072\n92800 100000\n56433 84635\n29171 43733\n22482 33741\n1453 2187\n83758 100000\n38640 57902\n94625 100000\n48994 73474\n22284 33454\n17242 25866\n72524 100000\n85932 100000\n89154 100000\n26997 40463\n54438 81651\n54956 82403\n31652 47455\n78801 100000\n77018 100000\n84106 100000\n41813 62669\n82202 100000\n39218 58756\n53256 79890\n81756 100000\n56737 85100\n65323 97980\n52108 78168\n75771 100000\n19956 29926\n93008 100000\n16282 24432\n91817 100000\n22493 33757\n74013 100000\n40402 60544\n50246 75357\n33180 49774\n34207 51296\n6189 9346\n56567 84845\n62595 93908\n51759 77644\n44717 67011\n48672 73000\n68980 100000\n7767 11707\n23625 35442\n17857 26788\n18205 27282\n86593 100000\n29544 44299\n42182 63226\n44315 66403\n84790 100000\n54422 81631\n56279 84405\n50701 76050\n51707 77574\n69852 100000\n20026 30036\n99248 100000\n25971 38945\n9846 14818\n64805 97213\n95197 100000\n40709 60999\n52530 78798\n26687 40012\n37901 56803\n46144 69172\n950 1425\n24546 36797\n94412 100000\n42583 63820\n49924 74873\n75352 100000\n42370 63510\n71392 100000\n86519 100000\n778 1168\n23570 35358\n71130 100000\n88629 100000\n59460 89202\n95644 100000\n91320 100000\n22034 33073\n66370 99555\n81861 100000\n10065 15166\n20037 30051\n33868 50792\n10015 15088\n66185 99275\n82150 100000\n14063 21108\n56408 84599\n41802 62652\n43222 64767\n56372 84543\n5694 8588\n29274 43892\n572 859\n89647 100000\n31901 47831\n67842 100000\n28571 42829\n57393 86106\n69946 100000\n9654 14521\n35000 52496\n2452 3681\n14483 21736\n45173 67695\n65799 98691\n24702 37031\n23334 35014\n23230 34856\n1902 2849\n15420 23143\n5063 7635\n85974 100000\n98211 100000\n70478 100000\n29484 44206\n77919 100000\n13924 20908\n9784 14725\n94777 100000\n50269 75393\n57330 86009\n97381 100000\n51451 77187\n854 1283\n50980 76492\n36724 55077\n27072 40578\n85094 100000\n12065 18164\n4687 7060\n76851 100000\n58432 87659\n45949 68874\n62379 93585\n40789 61127\n87140 100000\n64455 96700\n11134 16766\n43792 65615\n22137 33226\n2923 4395\n54662 81975\n94719 100000\n42382 63526\n80647 100000\n4063 6096\n95956 100000\n67931 100000\n63072 94644\n37579 56332\n56214 84310\n88012 100000\n34650 51973\n97456 100000\n36206 54288\n61278 91933\n58722 88088\n66080 99120\n22617 33934\n2886 4337\n68445 100000\n69720 100000\n24206 36300\n61590 92407\n82494 100000\n27396 41059\n32792 49184\n2466 3701\n78281 100000\n40292 60380\n10474 15771\n44878 67250\n22417 33650\n4707 7090\n25154 37715\n41076 61570\n51413 77134\n61332 92018\n36511 54757\n71801 100000\n10434 15714\n33255 49880\n12699 19113\n44443 66602\n51402 77120\n15273 22923\n2497 3748\n30622 45903\n16683 25031\n38884 58259\n80886 100000\n2002 2997\n92517 100000\n29674 44492\n49031 73531\n2568 3861\n49694 74544\n41420 62075\n35480 53205\n73749 100000\n50471 75698\n43196 64726\n94949 100000\n90063 100000\n23248 34883\n87153 100000\n50175 75252\n68245 100000\n37018 55506\n13520 20302\n46004 68961\n9790 14732\n44395 66523\n26353 39517\n31041 46531\n39736 59533\n94927 100000\n21443 32153\n87359 100000\n90631 100000\n65275 97910\n82990 100000\n74004 100000\n39290 58858\n94235 100000\n28801 43172\n4071 6109\n19984 29972\n7682 11579\n86166 100000\n70428 100000\n50380 75560\n98687 100000\n18186 27256\n37010 55494\n36814 55211\n66168 99250\n76584 100000\n68356 100000\n30834 46226\n91445 100000\n72105 100000\n6582 9942\n4677 7044\n35080 52609\n48848 73258\n79256 100000\n79783 100000\n174 258\n57934 86912\n51646 77482\n73931 100000\n11089 16700\n28110 42143\n82905 100000\n50617 75918\n11387 17145\n64474 96727\n74868 100000\n9521 14322\n33199 49803\n8686 13076\n66144 99217\n62882 94346\n95769 100000\n47116 70652\n42779 64097\n63515 95296\n74265 100000\n4118 6183\n97990 100000\n51019 76550\n39759 59570\n81906 100000\n51363 77066\n27903 41833\n66630 99946\n48336 72482\n13944 20934\n15553 23341\n34949 52421\n20268 30398\n83821 100000\n73802 100000\n1519 2288\n20413 30607\n69752 100000\n56262 84378\n42576 63808\n7903 11914\n69901 100000\n65032 97559\n69686 100000\n63131 94737\n45696 68497\n67748 100000\n67234 100000\n21678 32520\n41146 61670\n82507 100000\n51008 76535\n52031 78053\n34398 51588\n48743 73104\n230 337\n49149 73702\n98177 100000\n60898 91365\n20392 30577\n1876 2809\n13378 20104\n72180 100000\n68146 100000\n90062 100000\n58000 87015\n88513 100000\n17227 25842\n31588 47356\n4578 6887\n82629 100000\n46178 69225\n92771 100000\n89365 100000\n24266 36386\n98290 100000\n91759 100000\n50096 75130\n67786 100000\n20259 30384\n38911 58302\n10544 15873\n71112 100000\n34709 52067\n29951 44906\n70356 100000\n10835 16318\n302 441\n26227 39333\n67158 100000\n50689 76031\n93749 100000\n72282 100000\n79262 100000\n23047 34582\n65067 97604\n2204 3303\n50224 75325\n12236 18421\n67011 100000\n70545 100000\n38792 58119\n77701 100000\n24082 36117\n93568 100000\n11660 17548\n29425 44120\n73133 100000\n82781 100000\n40711 61002\n99125 100000\n2400 3603\n68188 100000\n95074 100000\n39122 58605\n10922 16449\n54563 81829\n66552 99832\n76165 100000\n74924 100000\n83912 100000\n58129 87211\n83209 100000\n50596 75886\n84143 100000\n19133 28693\n47662 71483\n20207 30309\n39046 58502\n78775 100000\n34697 52050\n46570 69828\n78126 100000\n43915 65804\n15120 22687\n42014 62975\n40603 60839\n43646 65398\n20628 30940\n17382 26079\n10128 15262\n17200 25805\n92637 100000\n95831 100000\n13466 20230\n72052 100000\n80292 100000\n94827 100000\n4359 6556\n69007 100000\n17428 26144\n74501 100000\n87110 100000\n93962 100000\n83279 100000\n27234 40818\n37410 56086\n22058 33106\n66292 99436\n6704 10127\n55008 82477\n66876 100000\n35592 53376\n73174 100000\n92385 100000\n24632 36925\n10258 15454\n83352 100000\n31439 47139\n22807 34222\n38987 58413\n41489 62183\n41174 61710\n37679 56477\n82746 100000\n75929 100000\n80747 100000\n97216 100000\n63492 95264\n92513 100000\n69851 100000\n73022 100000\n57516 86289\n64298 96466\n32509 48760\n92746 100000\n66284 99424\n78791 100000\n63232 94880\n18890 28318\n68542 100000\n8069 12155\n10996 16560\n48683 73017\n10857 16354\n73391 100000\n9958 14999\n57982 86987\n93573 100000\n48122 72160\n67906 100000\n59145 88723\n25236 37833\n33621 50424\n77090 100000\n59200 88805\n74159 100000\n95256 100000\n3708 5565\n43774 65586\n44434 66587\n75987 100000\n12864 19345\n8104 12207\n60114 90198\n32567 48847\n31799 47677\n13414 20158\n19782 29661\n20003 30003\n95881 100000\n90292 100000\n45980 68925\n75224 100000\n57146 85728\n32607 48906\n10928 16459\n95583 100000\n54140 81219\n14185 21287\n25659 38472\n26584 39853\n92020 100000\n51165 76766\n82103 100000\n16193 24298\n22421 33657\n78601 100000\n33340 50003\n72606 100000\n51868 77803\n46236 69317\n31311 46941\n56470 84696\n43642 65391\n15924 23888\n34051 51066\n82931 100000\n98027 100000\n92495 100000\n95263 100000\n80414 100000\n96695 100000\n1064 1599\n8377 12608\n54810 82187\n21336 31986\n15480 23228\n40182 60216\n36954 55415\n58280 87437\n62829 94266\n34972 52455\n29715 44553\n57307 85975\n55035 82519\n63453 95204\n73099 100000\n22630 33955\n62088 93148\n38304 57404\n34352 51519\n67059 100000\n97989 100000\n67390 100000\n58361 87554\n50289 75424\n65358 98037\n42742 64044\n53028 79540\n42261 63343\n32273 48395\n40995 61445\n37929 56842\n50460 75681\n39011 58445\n33084 49633\n1872 2802\n84074 100000\n74603 100000\n96925 100000\n63125 94728\n34085 51116\n75722 100000\n16296 24455\n83349 100000\n18578 27836\n74618 100000\n86425 100000\n2210 3313\n25502 38231\n80341 100000\n19512 29254\n63123 94724\n33654 50476\n23881 35815\n88645 100000\n58106 87178\n46264 69366\n81646 100000\n39095 58566\n88172 100000\n84849 100000\n9399 14138\n32022 48022\n51632 77462\n47162 70720\n75053 100000\n95746 100000\n89738 100000\n80649 100000\n81598 100000\n80114 100000\n71261 100000\n20732 31088\n76415 100000\n56072 84089\n1206 1816\n49353 74015\n81899 100000\n67062 100000\n38754 58059\n13951 20944\n31454 47160\n49658 74484\n44627 66882\n5590 8433\n51172 76778\n60396 90610\n92956 100000\n60442 90683\n34332 51485\n16489 24747\n62074 93127\n26284 39416\n53291 79940\n92476 100000\n76690 100000\n36125 54174\n88643 100000\n9343 14051\n21023 31514\n16123 24192\n46694 70014\n19429 29127\n84591 100000\n48150 72204\n47840 71749\n76861 100000\n62964 94478\n4345 6534\n27268 40873\n27727 41565\n88693 100000\n7332 11050\n41172 61708\n80347 100000\n13487 20257\n99947 100000\n43372 64987\n75857 100000\n19235 28839\n19977 29961\n71510 100000\n89095 100000\n95253 100000\n15952 23933\n17460 26195\n72278 100000\n88373 100000\n35692 53521\n31971 47938\n11336 17064\n63607 95429\n8327 12529\n22272 33436\n48855 73267\n50545 75809\n85513 100000\n33735 50596\n3511 5275\n78381 100000\n65350 98024\n50020 75020\n24081 36116\n29410 44098\n63316 94999\n90165 100000\n55674 83493\n30709 46030\n42960 64365\n67680 100000\n96250 100000\n565 850\n23181 34778\n94324 100000\n35374 53052\n1084 1628\n17286 25933\n86398 100000\n11857 17839\n18754 28117\n85816 100000\n84149 100000\n14835 22260\n76486 100000\n96122 100000\n70055 100000\n32244 48352\n9252 13918\n89016 100000\n62823 94255\n41664 62450\n42016 62978\n10608 15978\n57946 86932\n80346 100000\n15286 22942\n68690 100000\n77032 100000\n50143 75205\n79377 100000\n6464 9759\n71312 100000\n52100 78156\n28908 43342\n33317 49967\n54549 81810\n69034 100000\n30649 45940\n42045 63023\n19755 29625\n69118 100000\n73384 100000\n45524 68218\n74000 100000\n23735 35609\n39229 58775\n79376 100000\n1501 2262\n91140 100000\n73859 100000\n53298 79951\n11116 16739\n85480 100000\n61444 92187\n33940 50894\n92538 100000\n50046 75060\n79927 100000\n99020 100000\n73819 100000\n36527 54784\n68166 100000\n26954 40400\n8669 13050\n5086 7668\n70155 100000\n62931 94422\n10151 15294\n5698 8595\n32515 48768\n1999 2993\n6861 10361\n2023 3027\n23543 35317\n57949 86937\n93615 100000\n482 719\n48393 72568\n75797 100000\n72358 100000\n22164 33269\n17510 26269\n73562 100000\n74290 100000\n91770 100000\n89460 100000\n55190 82753\n43197 64727\n142 214\n54993 82455\n28645 42939\n77113 100000\n30900 46326\n43116 64607\n93693 100000\n63281 94948\n93967 100000\n53285 79931\n98921 100000\n17586 26386\n78873 100000\n59105 88665\n85461 100000\n55425 83122\n94244 100000\n45007 67437\n80474 100000\n38820 58160\n24085 36120\n82383 100000\n77056 100000\n4004 6010\n48430 72623\n58157 87251\n80070 100000\n76722 100000\n72671 100000\n1329 2000\n29963 44922\n80409 100000\n12430 18703\n24760 37118\n59129 88699\n95835 100000\n60476 90733\n26371 39546\n78841 100000\n82779 100000\n13897 20870\n84629 100000\n19142 28704\n29569 44334\n95279 100000\n2833 4256\n90962 100000\n71693 100000\n55144 82691\n8855 13324\n41905 62813\n14166 21259\n57005 85511\n86915 100000\n46496 69718\n68753 100000\n60539 90831\n22340 33531\n81787 100000\n40588 60819\n95809 100000\n41514 62222\n21582 32358\n95782 100000\n22016 33044\n67206 100000\n79399 100000\n4280 6436\n88698 100000\n4784 7206\n81003 100000\n8067 12152\n73210 100000\n64205 96322\n89124 100000\n14781 22177\n39182 58701\n14798 22204\n64769 97164\n97683 100000\n83662 100000\n53706 80572\n42377 63520\n82309 100000\n31170 46726\n84990 100000\n46361 69516\n59196 88799\n97780 100000\n11689 17589\n89993 100000\n98833 100000\n28259 42364\n2149 3223\n51273 76930\n50745 76124\n82091 100000\n77576 100000\n62011 93034\n84231 100000\n11521 17345\n4235 6366\n56864 85298\n28247 42347\n40457 60625\n49321 73967\n31437 47135\n27186 40748\n44391 66517\n16802 25200\n4702 7083\n79308 100000\n90562 100000\n23197 34803\n46620 69904\n41811 62666\n82660 100000\n68992 100000\n82814 100000\n84441 100000\n81067 100000\n89758 100000\n69277 100000\n86048 100000\n65894 98829\n11760 17692\n43425 65067\n80433 100000\n72785 100000\n15770 23662\n79586 100000\n97078 100000\n37026 55516\n23362 35055\n83058 100000\n5523 8330\n39078 58542\n34221 51318\n47059 70569\n87875 100000\n12509 18826\n63417 95153\n10670 16071\n75187 100000\n98612 100000\n97639 100000\n47524 71270\n14030 21057\n9005 13550\n21968 32965\n11713 17625\n67876 100000\n5649 8520\n59620 89454\n18932 28379\n3012 4528\n56984 85481\n64980 97479\n39375 58986\n50830 76253\n30548 45791\n92071 100000\n33970 50940\n87910 100000\n7227 10892\n21017 31506\n94938 100000\n35254 52873\n85786 100000\n23834 35744\n45963 68896\n78241 100000\n15207 22827\n11184 16841\n71505 100000\n9438 14199\n76955 100000\n44931 67323\n39647 59394\n3240 4868\n45825 68681\n56999 85502\n17047 25576\n60831 91256\n83425 100000\n39396 59020\n61617 92441\n8230 12386\n8811 13261\n75024 100000\n22259 33414\n17535 26309\n47284 70906\n30819 46206\n25561 38318\n66892 100000\n78187 100000\n92250 100000\n49399 74086\n68098 100000\n72546 100000\n91036 100000\n39756 59565\n54492 81731\n76021 100000\n63041 94594\n69681 100000\n38376 57512\n16185 24285\n78893 100000\n3697 5549\n35715 53553\n20562 30840\n34715 52075\n84472 100000\n6939 10475\n9508 14302\n14105 21169\n8751 13168\n74695 100000\n35748 53609\n59639 89481\n93165 100000\n87097 100000\n18391 27561\n53725 80599\n25776 38652\n65473 98210\n35911 53847\n67025 100000\n43619 65356\n50687 76028\n68088 100000\n18588 27853\n23242 34874\n21352 32011\n58561 87849\n18889 28317\n23750 35631\n79581 100000\n87634 100000\n27532 41272\n39338 58930\n2737 4111\n44240 66289\n45543 68248\n69583 100000\n99793 100000\n60330 90513\n14275 21421\n47670 71495\n67346 100000\n441 654\n3499 5258\n11048 16640\n34683 52027\n80861 100000\n10268 15467\n70020 100000\n7154 10786\n56127 84171\n63948 95945\n22214 33351\n87453 100000\n64119 96200\n67855 100000\n28370 42527\n18936 28384\n44818 67157\n98373 100000\n3941 5918\n20472 30694\n63443 95188\n26517 39756\n44610 66857\n89222 100000\n68325 100000\n25441 38139\n35756 53620\n26163 39239\n71292 100000\n47504 71244\n52173 78268\n96156 100000\n66678 100000\n52036 78059\n51271 76927\n3025 4549\n74201 100000\n13865 20818\n63900 95874\n59875 89834\n18346 27493\n26580 39848\n64409 96631\n15806 23714\n78394 100000\n76558 100000\n51415 77138\n12774 19222\n13774 20677\n94233 100000\n71797 100000\n85298 100000\n13995 21007\n69858 100000\n32520 48777\n40329 60431\n14537 21820\n65475 98213\n72321 100000\n81725 100000\n87354 100000\n36389 54572\n40374 60501\n52922 79381\n58882 88321\n62185 93287\n92086 100000\n68769 100000\n41305 61897\n30973 46434\n63222 94865\n89468 100000\n11317 17038\n66942 100000\n90132 100000\n90497 100000\n54813 82191\n99924 100000\n70865 100000\n30632 45916\n27876 41793\n53199 79808\n13857 20804\n98703 100000\n73140 100000\n26363 39534\n75593 100000\n85887 100000\n41477 62161\n46702 70028\n9386 14116\n61708 92580\n58236 87371\n89173 100000\n27832 41724\n48718 73066\n84774 100000\n76068 100000\n2773 4168\n26422 39622\n39744 59544\n43803 65631\n59806 89733\n95385 100000\n45018 67451\n59285 88941\n22249 33399\n88083 100000\n72657 100000\n55171 82730\n35283 52915\n64810 97221\n67043 100000\n5984 9041\n90902 100000\n77854 100000\n95372 100000\n46160 69199\n38489 57679\n58687 88035\n32982 49470\n72780 100000\n39416 59049\n92137 100000\n78824 100000\n63180 94812\n24160 36234\n40087 60072\n85862 100000\n65630 98447\n38937 58338\n2659 3994\n28740 43082\n35039 52549\n76371 100000\n29144 43690\n40063 60035\n27596 41371\n5 9\n45997 68949\n5107 7703\n33700 50542\n84150 100000\n16536 24813\n88942 100000\n65173 97766\n28753 43101\n31364 47021\n10833 16314\n94896 100000\n86858 100000\n4389 6602\n12638 19016\n55128 82667\n44465 66635\n815 1223\n84297 100000\n68577 100000\n74537 100000\n87477 100000\n2707 4068\n74283 100000\n38474 57656\n26741 40088\n15406 23123\n50636 75943\n42363 63499\n18536 27780\n69437 100000\n97322 100000\n95110 100000\n92772 100000\n28344 42489\n6225 9399\n94840 100000\n91553 100000\n76526 100000\n45761 68590\n6547 9890\n28830 43220\n30231 45308\n22236 33384\n43102 64581\n39752 59559\n19578 29355\n2564 3855\n59192 88792\n34392 51580\n57662 86506\n48614 72915\n18980 28459\n65056 97589\n89457 100000\n82824 100000\n79263 100000\n62051 93089\n85794 100000\n41542 62264\n50578 75858\n88211 100000\n33229 49843\n99940 100000\n65618 98430\n44284 66357\n53626 80454\n31165 46716\n65351 98026\n71506 100000\n25324 37964\n41746 62574\n38398 57545\n59314 88986\n78336 100000\n64090 96155\n72023 100000\n62663 94012\n16147 24224\n43979 65897\n9393 14127\n25197 37779\n148 224\n91401 100000\n36079 54100\n99150 100000\n72650 100000\n11343 17075\n82950 100000\n81485 100000\n9922 14939\n31726 47571\n27353 40995\n89687 100000\n14322 21498\n21296 31924\n13374 20100\n97394 100000\n41041 61520\n31272 46881\n31963 47925\n89668 100000\n57418 86141\n96025 100000\n89045 100000\n26101 39149\n36889 55321\n5155 7777\n75913 100000\n90706 100000\n18497 27719\n25074 37597\n93968 100000\n8387 12623\n66522 99785\n31412 47097\n20333 30486\n88332 100000\n33147 49728\n17118 25683\n48952 73414\n38257 57333\n37320 55955\n65518 98276\n60113 90196\n68640 100000\n38459 57635\n30344 45471\n53154 79738\n21522 32270\n82665 100000\n51394 77109\n97522 100000\n13236 19893\n95188 100000\n42820 64155\n52537 78809\n83955 100000\n87682 100000\n14967 22457\n7139 10767\n66488 99732\n43430 65076\n3982 5980\n6564 9915\n13837 20775\n6110 9225\n6651 10046\n57927 86902\n46366 69525\n94281 100000\n78614 100000\n61764 92666\n72547 100000\n62402 93618\n18338 27481\n29923 44863\n60435 90671\n78065 100000\n66536 99806\n25007 37492\n84959 100000\n10668 16067\n87971 100000\n53859 80800\n52617 78933\n74141 100000\n95735 100000\n49114 73647\n68749 100000\n6911 10433\n53184 79784\n89528 100000\n55618 83409\n80947 100000\n31759 47616\n96334 100000\n57544 86331\n10100 15220\n88648 100000\n15914 23873\n82286 100000\n42439 63612\n54977 82432\n63037 94588\n79361 100000\n28100 42130\n85622 100000\n47536 71291\n59183 88777\n23844 35759\n90023 100000\n42719 64010\n23313 34981\n12296 18508\n74124 100000\n13641 20479\n68750 100000\n42803 64131\n60154 90260\n40691 60973\n47576 71349\n24682 37003\n80310 100000\n13014 19565\n69278 100000\n52416 78632\n17354 26037\n82143 100000\n40904 61304\n75507 100000\n41763 62598\n43888 65761\n67464 100000\n21393 32079\n90733 100000\n19647 29456\n44363 66473\n45497 68174\n89955 100000\n32329 48482\n50223 75324\n47424 71116\n61298 91965\n86421 100000\n27564 41322\n61425 92159\n93314 100000\n5806 8754\n60167 90280\n3968 5956\n49735 74598\n20308 30452\n33529 50291\n79912 100000\n45845 68714\n82177 100000\n88063 100000\n15796 23698\n16132 24203\n97180 100000\n85272 100000\n84423 100000\n29965 44926\n64900 97360\n24227 36330\n43973 65887\n62368 93568\n35553 53315\n83784 100000\n4243 6380\n27003 40472\n29878 44793\n2572 3867\n50582 75864\n15046 22574\n41123 61641\n5818 8771\n76860 100000\n38137 57150\n15253 22895\n96433 100000\n34480 51712\n38988 58414\n56783 85174\n85917 100000\n23408 35118\n73867 100000\n48902 73342\n25455 38160\n64786 97184\n50310 75455\n65698 98548\n95159 100000\n98747 100000\n8015 12073\n88001 100000\n78370 100000\n35151 52716\n78325 100000\n82702 100000\n62535 93812\n1267 1905\n14985 22484\n98997 100000\n1099 1652\n792 1188\n33081 49627\n64518 96793\n51056 76606\n61352 92052\n45406 68044\n52179 78276\n66195 99287\n24396 36579\n52027 78047\n23537 35308\n68882 100000\n70468 100000\n42330 63448\n27169 40723\n62735 94118\n55824 83720\n68024 100000\n96447 100000\n34728 52093\n47701 71542\n39432 59071\n32275 48399\n33937 50889\n68653 100000\n41206 61754\n96010 100000\n40052 60018\n21060 31575\n48404 72584\n48017 72005\n92085 100000\n5994 9057\n10200 15368\n85724 100000\n4930 7434\n1998 2992\n97586 100000\n75733 100000\n96322 100000\n53227 79848\n33787 50671\n35259 52879\n53389 80077\n46543 69792\n45311 67898\n69978 100000\n29114 43645\n32858 49280\n93727 100000\n52885 79326\n46314 69441\n6182 9335\n11358 17100\n73012 100000\n74952 100000\n82741 100000\n31911 47844\n30522 45750\n2846 4276\n9555 14375\n75198 100000\n3406 5119\n68158 100000\n64587 96893\n79050 100000\n26108 39157\n89657 100000\n34773 52161\n54530 81784\n45379 68002\n94141 100000\n3714 5576\n28525 42763\n20556 30829\n18389 27558\n49398 74085\n286 420\n20539 30800\n89573 100000\n79817 100000\n44043 65992\n78723 100000\n69792 100000\n73699 100000\n63159 94780\n48898 73335\n78442 100000\n28171 42232\n67154 100000\n28534 42778\n22864 34307\n22134 33221\n47274 70892\n82837 100000\n13626 20459\n5823 8780\n68238 100000\n18954 28414\n53091 79644\n50414 75613\n97785 100000\n86524 100000\n19885 29820\n75663 100000\n74836 100000\n93953 100000\n97703 100000\n72661 100000\n29430 44128\n72308 100000\n19486 29214\n88528 100000\n56856 85286\n5334 8052\n1917 2866\n44164 66176\n58595 87897\n91601 100000\n17619 26431\n81944 100000\n76767 100000\n13546 20343\n23916 35871\n64730 97109\n64096 96165\n28762 43116\n19665 29486\n65498 98247\n17468 26209\n58527 87798\n19274 28901\n19814 29709\n8900 13390\n98801 100000\n25499 38225\n13318 20013\n19626 29429\n51235 76874\n71910 100000\n74502 100000\n46111 69124\n30925 46366\n35458 53172\n66029 99042\n87757 100000\n902 1351\n55729 83573\n43047 64499\n35304 52942\n57646 86482\n90518 100000\n90792 100000\n94504 100000\n58662 88000\n13644 20484\n87823 100000\n40280 60362\n37918 56828\n36497 54738\n37423 56104\n57671 86518\n3905 5865\n33617 50417\n74516 100000\n18532 27773\n33615 50415\n50741 76118\n62035 93066\n33203 49807\n71650 100000\n85714 100000\n52157 78246\n40382 60513\n98523 100000\n57693 86554\n90522 100000\n51297 76966\n3604 5413\n72262 100000\n26591 39863\n97516 100000\n3436 5168\n29188 43762\n5553 8375\n44412 66553\n63333 95022\n33346 50012\n38002 56954\n46161 69201\n78361 100000\n12494 18805\n42722 64014\n97540 100000\n88107 100000\n38517 57726\n4036 6057\n70158 100000\n382 559\n37457 56150\n25745 38605\n44045 65995\n60229 90371\n90931 100000\n74202 100000\n68757 100000\n20068 30098\n1840 2756\n56101 84132\n56942 85415\n17023 25536\n33315 49965\n4108 6169\n64502 96766\n28321 42455\n8593 12941\n56580 84865\n84314 100000\n52701 79054\n17164 25753\n78315 100000\n16398 24613\n97761 100000\n19269 28893\n64799 97204\n4955 7473\n84017 100000\n29021 43511\n52459 78693\n64692 97056\n76864 100000\n64091 96157\n74323 100000\n81720 100000\n13420 20167\n76794 100000\n350 511\n35693 53523\n8973 13497\n95447 100000\n85737 100000\n78875 100000\n43636 65382\n71682 100000\n23477 35224\n16457 24699\n93248 100000\n53707 80574\n76813 100000\n78067 100000\n78932 100000\n86140 100000\n56911 85368\n54028 81053\n22452 33705\n68208 100000\n89165 100000\n43945 65844\n43802 65629\n67635 100000\n77265 100000\n15869 23805\n67722 100000\n65007 97521\n43264 64832\n40258 60327\n51558 77347\n11753 17683\n62029 93058\n32085 48115\n50134 75190\n55960 83929\n66051 99073\n82098 100000\n7024 10594\n73974 100000\n46627 69915\n91536 100000\n16137 24210\n25533 38275\n78451 100000\n81729 100000\n81917 100000\n61687 92546\n3910 5874\n74978 100000\n75792 100000\n62148 93241\n5645 8513\n29135 43677\n97001 100000\n64729 97108\n58193 87304\n11897 17898\n39412 59042\n63905 95882\n20356 30520\n8938 13447\n25418 38107\n44995 67420\n84105 100000\n62068 93116\n5548 8368\n23002 34516\n33504 50253\n51237 76878\n24225 36326\n48268 72386\n25843 38754\n28458 42659\n75888 100000\n98911 100000\n36735 55093\n24281 36409\n95886 100000\n25885 38814\n93863 100000\n15512 23280\n7410 11166\n56764 85144\n96523 100000\n74821 100000\n31334 46973\n98764 100000\n25307 37938\n12782 19232\n84345 100000\n48083 72109\n26233 39341\n8852 13318\n17713 26572\n82822 100000\n11819 17776\n65506 98257\n12153 18297\n2970 4462\n31681 47496\n44392 66518\n55064 82566\n27866 41778\n27827 41718\n89756 100000\n57538 86322\n46500 69724\n66018 99023\n49227 73821\n58678 88023\n19520 29267\n20659 30982\n71570 100000\n53462 80198\n52025 78043\n12903 19398\n82614 100000\n83894 100000\n14576 21876\n76201 100000\n32935 49396\n27363 41010\n18450 27644\n52441 78666\n21898 32859\n18766 28133\n77489 100000\n2462 3696\n3914 5880\n38506 57709\n92278 100000\n90505 100000\n13600 20417\n59166 88754\n93160 100000\n97591 100000\n8113 12218\n36274 54395\n63030 94579\n94016 100000\n58529 87802\n49234 73830\n34158 51224\n3208 4819\n18922 28363\n67681 100000\n95087 100000\n6376 9637\n59929 89916\n41304 61896\n93590 100000\n10344 15578\n22598 33909\n92643 100000\n49500 74240\n94507 100000\n29967 44929\n68102 100000\n73884 100000\n26545 39796\n36150 54210\n40787 61124\n27163 40715\n75034 100000\n51831 77751\n92279 100000\n55951 83914\n2275 3415\n33607 50403\n22275 33440\n85260 100000\n60265 90422\n63556 95355\n61365 92070\n32932 49392\n93395 100000\n19412 29105\n24063 36089\n85234 100000\n27466 41166\n47877 71803\n63158 94778\n25560 38316\n23599 35406\n44809 67145\n94076 100000\n33801 50693\n31016 46498\n21781 32679\n14248 21377\n10567 15910\n57044 85572\n24542 36792\n29461 44171\n2582 3883\n78405 100000\n89169 100000\n54096 81156\n28187 42255\n81210 100000\n37839 56713\n2132 3198\n71555 100000\n7975 12019\n85630 100000\n49085 73602\n71524 100000\n41999 62956\n54 82\n98749 100000\n28435 42624\n44909 67292\n83151 100000\n28273 42387\n61569 92377\n61963 92962\n14152 21238\n93190 100000\n35482 53208\n61647 92486\n18676 27996\n31432 47126\n97625 100000\n60510 90786\n82720 100000\n35134 52688\n16684 25033\n19763 29635\n96638 100000\n92620 100000\n41887 62786\n63796 95715\n10277 15482\n36207 54289\n24092 36129\n67944 100000\n8556 12888\n12008 18072\n60103 90181\n85596 100000\n43953 65859\n6205 9367\n55746 83598\n45014 67447\n11731 17654\n34075 51100\n54359 81546\n28810 43186\n75937 100000\n6043 9129\n57123 85694\n5655 8527\n35795 53675\n71105 100000\n20312 30456\n34113 51157\n65076 97619\n12152 18295\n68126 100000\n58415 87633\n46956 70418\n58686 88034\n24913 37350\n86512 100000\n57955 86944\n75917 100000\n99452 100000\n50648 75961\n877 1315\n76825 100000\n72715 100000\n47491 71224\n72255 100000\n56246 84355\n34690 52038\n52362 78548\n98515 100000\n43228 64777\n67686 100000\n82626 100000\n18675 27995\n83429 100000\n44078 66049\n83802 100000\n79617 100000\n31039 46529\n92318 100000\n87430 100000\n82262 100000\n32192 48274\n20202 30302\n17344 26024\n31485 47205\n75647 100000\n43408 65041\n84316 100000\n67077 100000\n6580 9939\n72236 100000\n78455 100000\n28543 42790\n32666 48994\n5559 8384\n56678 85014\n28872 43287\n41118 61634\n26148 39219\n83542 100000\n19156 28725\n5821 8777\n42390 63539\n37494 56208\n61743 92632\n47573 71345\n35349 53008\n69134 100000\n92768 100000\n23486 35238\n34427 51630\n85009 100000\n10048 15141\n76577 100000\n17318 25984\n48834 73235\n80938 100000\n46690 70008\n86152 100000\n33136 49712\n63575 95381\n48520 72767\n11896 17896\n96679 100000\n98461 100000\n7200 10852\n52699 79051\n97341 100000\n25451 38153\n5637 8501\n63630 95464\n53945 80925\n36398 54583\n27356 41000\n23784 35677\n76688 100000\n66146 99219\n36963 55430\n55140 82684\n3625 5444\n99365 100000\n55477 83202\n32177 48251\n514 768\n39214 58751\n58128 87210\n73583 100000\n52462 78697\n1749 2624\n19069 28593\n32476 48706\n70783 100000\n26508 39742\n50268 75392\n16145 24221\n4018 6030\n16783 25173\n35282 52914\n43121 64614\n51930 77898\n26757 40111\n63531 95318\n23390 35094\n67402 100000\n60750 91135\n22388 33600\n83859 100000\n71578 100000\n47748 71609\n62269 93415\n55206 82777\n17898 26849\n8779 13213\n33067 49606\n99335 100000\n47608 71398\n36471 54696\n91312 100000\n23764 35649\n21977 32980\n49767 74647\n19606 29399\n60725 91103\n90681 100000\n74547 100000\n47998 71974\n47136 70683\n77082 100000\n99053 100000\n14834 22258\n90755 100000\n73551 100000\n22008 33030\n30166 45216\n68253 100000\n85256 100000\n40038 59996\n38920 58314\n39688 59460\n91781 100000\n18477 27689\n7452 11232\n40249 60314\n96083 100000\n73163 100000\n17171 25763\n83725 100000\n45562 68276\n69391 100000\n81108 100000\n81268 100000\n21785 32685\n3470 5219\n16403 24620\n78818 100000\n21851 32786\n86019 100000\n71654 100000\n67610 100000\n53632 80464\n31139 46678\n83529 100000\n59217 88834\n31903 47833\n87527 100000\n34668 52001\n80980 100000\n58435 87664\n88353 100000\n62202 93314\n51012 76541\n9425 14177\n22362 33562\n18349 27497\n43110 64597\n22835 34265\n63540 95333\n82467 100000\n42775 64090\n93513 100000\n27603 41382\n89370 100000\n47359 71019\n66843 100000\n13756 20653\n56247 84357\n22631 33957\n33098 49654\n33442 50162\n95412 100000\n94331 100000\n10016 15090\n91747 100000\n47147 70698\n77894 100000\n3868 5804\n7068 10658\n83277 100000\n19766 29639\n26742 40089\n43666 65429\n94170 100000\n1397 2100\n24481 36704\n90508 100000\n77908 100000\n76084 100000\n41458 62134\n18426 27610\n3543 5318\n93408 100000\n94012 100000\n51156 76754\n21769 32662\n68029 100000\n77949 100000\n83733 100000\n90911 100000\n67835 100000\n9667 14542\n46190 69243\n4485 6749\n76464 100000\n92404 100000\n63257 94912\n79678 100000\n76892 100000\n49018 73510\n27873 41788\n15638 23473\n79562 100000\n33157 49741\n28715 43047\n4161 6249\n32250 48360\n80139 100000\n12332 18561\n95160 100000\n99318 100000\n31829 47724\n64870 97313\n43487 65156\n76198 100000\n187 277\n23243 34876\n44992 67417\n72047 100000\n46407 69586\n21504 32244\n43405 65037\n44448 66611\n75503 100000\n86281 100000\n39607 59337\n18624 27911\n32872 49300\n8880 13358\n43723 65511\n1683 2531\n77613 100000\n78153 100000\n3830 5746\n32942 49410\n3734 5603\n54845 82244\n22022 33052\n77086 100000\n14089 21141\n94154 100000\n91319 100000\n26722 40063\n66261 99388\n96661 100000\n89948 100000\n50792 76193\n81908 100000\n3100 4656\n7153 10784\n87977 100000\n19893 29831\n32821 49224\n25701 38539\n5159 7783\n96509 100000\n70930 100000\n21648 32468\n49906 74848\n73711 100000\n98951 100000\n56144 84200\n28588 42853\n7033 10606\n46395 69567\n96939 100000\n16285 24437\n25333 37974\n44942 67341\n99556 100000\n20761 31131\n16834 25244\n81564 100000\n79019 100000\n40613 60855\n46187 69238\n30563 45816\n98844 100000\n62358 93552\n86971 100000\n48466 72679\n84326 100000\n79048 100000\n91879 100000\n52016 78030\n28485 42704\n44586 66826\n37338 55981\n47354 71011\n36839 55250\n73520 100000\n47277 70897\n62138 93225\n9802 14753\n97174 100000\n85157 100000\n81001 100000\n38731 58027\n72939 100000\n95348 100000\n24657 36966\n87314 100000\n99856 100000\n23825 35731\n76109 100000\n37730 56547\n16239 24369\n84293 100000\n28615 42896\n50620 75922\n39707 59488\n22060 33108\n78626 100000\n7398 11149\n79989 100000\n2279 3422\n56445 84656\n8165 12295\n69398 100000\n10135 15273\n10320 15545\n96202 100000\n18815 28206\n83933 100000\n2108 3161\n50673 76003\n77185 100000\n83794 100000\n41537 62256\n93019 100000\n19499 29233\n46875 70294\n84963 100000\n9019 13571\n35659 53474\n30696 46013\n84599 100000\n98054 100000\n65428 98141\n89820 100000\n75325 100000\n75296 100000\n18079 27104\n41314 61910\n7872 11867\n23710 35569\n434 642\n40189 60226\n44978 67396\n26127 39188\n76993 100000\n93572 100000\n70029 100000\n49749 74618\n17021 25533\n4010 6017\n90725 100000\n36425 54627\n51781 77677\n37691 56493\n52924 79383\n22478 33737\n35484 53210\n47238 70836\n52562 78848\n62480 93734\n14238 21363\n61486 92249\n8510 12814\n44573 66806\n600 900\n21123 31669\n77962 100000\n10934 16466\n57112 85675\n7367 11102\n92787 100000\n64627 96956\n39504 59179\n94581 100000\n93686 100000\n44874 67246\n4710 7095\n48464 72676\n79708 100000\n52911 79366\n36142 54200\n9119 13717\n21059 31574\n99594 100000\n92272 100000\n11633 17511\n38950 58357\n91634 100000\n71017 100000\n51276 76935\n72044 100000\n68458 100000\n64185 96294\n31862 47772\n16978 25467\n62727 94106\n40573 60794\n89524 100000\n4423 6656\n5832 8796\n5098 7689\n31677 47490\n73475 100000\n14823 22243\n27886 41808\n7600 11453\n76255 100000\n20687 31021\n70420 100000\n61106 91678\n18861 28272\n63812 95741\n41342 61952\n11072 16673\n50821 76239\n23853 35773\n69693 100000\n55126 82663\n15382 23088\n73528 100000\n56213 84309\n75757 100000\n37834 56704\n95440 100000\n44890 67265\n57493 86253\n32693 49032\n3904 5863\n89426 100000\n30586 45850\n66004 99002\n2485 3729\n22736 34110\n67093 100000\n70086 100000\n96292 100000\n12371 18617\n89103 100000\n82733 100000\n72437 100000\n18306 27433\n66366 99549\n85285 100000\n79162 100000\n49311 73952\n45666 68447\n13733 20620\n19877 29807\n84032 100000\n78757 100000\n87449 100000\n72872 100000\n25678 38499\n2839 4265\n23730 35601\n42619 63874\n21854 32791\n92485 100000\n3713 5574\n24670 36987\n69147 100000\n74434 100000\n39632 59371\n36391 54575\n72306 100000\n81984 100000\n14571 21867\n86466 100000\n66257 99380\n69460 100000\n60746 91130\n87641 100000\n47423 71115\n71686 100000\n50670 75999\n16664 25003\n36766 55137\n83244 100000\n4889 7369\n80077 100000\n98862 100000\n37429 56112\n64815 97227\n60493 90759\n71335 100000\n66399 99600\n11265 16963\n20007 30009\n94034 100000\n83442 100000\n18770 28140\n37217 55794\n72223 100000\n14987 22486\n68799 100000\n62709 94076\n41148 61674\n83658 100000\n90766 100000\n3454 5197\n99154 100000\n2260 3394\n87225 100000\n72428 100000\n98827 100000\n1275 1915\n48165 72230\n51270 76925\n65057 97591\n88520 100000\n14547 21834\n77157 100000\n85793 100000\n26382 39562\n15588 23396\n50157 75222\n42476 63668\n56252 84364\n75158 100000\n15175 22772\n1530 2304\n46421 69608\n99700 100000\n13909 20886\n32904 49351\n37223 55804\n52396 78598\n21864 32810\n71328 100000\n10773 16224\n10896 16409\n30998 46470\n34828 52240\n51266 76919\n28573 42833\n88199 100000\n53188 79792\n65053 97584\n33812 50709\n14889 22338\n50990 76508\n56977 85469\n65140 97717\n31384 47052\n96312 100000\n94254 100000\n48095 72124\n94474 100000\n47737 71592\n14437 21669\n35063 52585\n75713 100000\n95117 100000\n2157 3235\n1862 2786\n54700 82031\n51136 76726\n21306 31938\n28067 42084\n92852 100000\n5799 8745\n2470 3708\n8168 12298\n55191 82755\n71031 100000\n34434 51640\n43418 65056\n2775 4170\n50767 76156\n46685 70002\n8653 13028\n55159 82715\n59715 89596\n63802 95726\n46271 69377\n12872 19358\n14746 22127\n93373 100000\n22047 33092\n80418 100000\n72339 100000\n1785 2675\n34656 51982\n27871 41785\n57983 86988\n74752 100000\n6849 10341\n23088 34642\n18958 28421\n40632 60885\n14359 21554\n20176 30263\n33141 49719\n24404 36590\n30228 45304\n72931 100000\n25918 38866\n31959 47918\n2342 3521\n40161 60183\n28066 42083\n57920 86890\n18737 28092\n64605 96921\n96000 100000\n34849 52269\n16008 24018\n68022 100000\n27303 40920\n6509 9835\n69296 100000\n10429 15706\n35040 52551\n37864 56749\n8468 12750\n11199 16865\n22401 33622\n57161 85751\n10283 15489\n24477 36698\n18168 27230\n32213 48305\n23236 34864\n71820 100000\n86198 100000\n11685 17582\n56031 84031\n37232 55818\n61884 92845\n65087 97634\n58306 87476\n52111 78173\n90496 100000\n95430 100000\n24836 37234\n67613 100000\n15425 23150\n76716 100000\n93617 100000\n95745 100000\n61479 92239\n93529 100000\n86333 100000\n15315 22982\n32461 48682\n46268 69372\n3882 5827\n38413 57568\n61572 92380\n62491 93749\n81678 100000\n9242 13902\n82008 100000\n99234 100000\n1228 1846\n45155 67667\n80666 100000\n22956 34447\n80589 100000\n57475 86228\n81795 100000\n91400 100000\n8123 12232\n43610 65341\n67982 100000\n23045 34579\n15497 23254\n95526 100000\n96652 100000\n78776 100000\n24006 36005\n82253 100000\n82750 100000\n66961 100000\n16386 24595\n29034 43531\n19050 28566\n64327 96510\n107 161\n27541 41284\n94632 100000\n64346 96539\n926 1390\n42952 64353\n16454 24695\n24290 36424\n40233 60291\n56386 84567\n11657 17543\n42787 64109\n75954 100000\n54220 81335\n19358 29022\n69995 100000\n22546 33834\n47661 71481\n6831 10315\n5166 7796\n66272 99405\n4943 7456\n30697 46015\n93242 100000\n46590 69859\n44827 67169\n53136 79711\n96335 100000\n13371 20094\n56962 85445\n6871 10377\n42879 64242\n37617 56386\n65278 97915\n9094 13683\n18264 27370\n21679 32521\n34444 51653\n31674 47487\n49816 74712\n82492 100000\n81661 100000\n91056 100000\n80275 100000\n20898 31327\n82848 100000\n73978 100000\n20492 30727\n42920 64306\n9500 14291\n34762 52143\n99102 100000\n88478 100000\n96081 100000\n86750 100000\n74310 100000\n41325 61928\n30098 45120\n82934 100000\n76496 100000\n83113 100000\n75998 100000\n84966 100000\n41162 61694\n91412 100000\n75676 100000\n55958 83925\n58580 87876\n96415 100000\n2609 3915\n16249 24384\n66886 100000\n97603 100000\n89874 100000\n68651 100000\n87790 100000\n33009 49515\n72157 100000\n80095 100000\n85662 100000\n30493 45706\n5934 8961\n80008 100000\n65307 97958\n24649 36954\n52738 79107\n35712 53549\n30989 46456\n89673 100000\n98471 100000\n11542 17376\n35802 53687\n23387 35089\n66055 99079\n57059 85594\n33435 50153\n13966 20965\n150 227\n12604 18966\n22102 33171\n34355 51523\n57301 85966\n32301 48441\n90083 100000\n4326 6506\n938 1408\n486 725\n20422 30618\n82482 100000\n9541 14352\n51583 77385\n50152 75215\n82773 100000\n66549 99826\n53164 79753\n47427 71121\n3246 4877\n95176 100000\n50925 76403\n52161 78253\n51727 77600\n52866 79296\n13270 19943\n6643 10035\n37551 56291\n86563 100000\n98698 100000\n27028 40511\n37988 56932\n60518 90798\n9668 14544\n67303 100000\n25210 37796\n25872 38795\n2156 3234\n79058 100000\n13777 20682\n25251 37855\n75435 100000\n45101 67582\n67320 100000\n3174 4769\n88366 100000\n45161 67675\n77385 100000\n62564 93857\n58941 88412\n49337 73990\n7820 11787\n69569 100000\n18035 27042\n2900 4357\n10816 16292\n53466 80205\n32488 48725\n49272 73889\n70007 100000\n76461 100000\n18128 27171\n4016 6026\n10215 15391\n85788 100000\n57503 86268\n48349 72501\n40070 60046\n30414 45574\n72071 100000\n78632 100000\n40454 60620\n55353 83010\n46375 69539\n52460 78694\n19595 29382\n85685 100000\n2429 3645\n88684 100000\n15488 23241\n14645 21980\n13971 20971\n8566 12902\n9480 14263\n72870 100000\n84705 100000\n23216 34834\n52240 78369\n80261 100000\n23423 35137\n14109 21175\n30443 45623\n33555 50325\n69556 100000\n89408 100000\n70867 100000\n99471 100000\n21317 31955\n69575 100000\n18635 27929\n52953 79424\n44105 66092\n71793 100000\n25733 38587\n67243 100000\n12156 18302\n59686 89553\n9518 14317\n27679 41492\n79240 100000\n82280 100000\n32402 48590\n99406 100000\n91961 100000\n46735 70081\n95384 100000\n95894 100000\n11075 16677\n39943 59856\n11659 17547\n35489 53219\n14142 21224\n47921 71865\n82866 100000\n51364 77067\n82782 100000\n88006 100000\n83203 100000\n98056 100000\n33572 50351\n21495 32230\n33060 49596\n14127 21201\n76787 100000\n1886 2824\n38587 57830\n9422 14173\n59660 89512\n60654 90996\n98693 100000\n79494 100000\n87126 100000\n57292 85953\n34955 52429\n91700 100000\n73045 100000\n39489 59156\n37721 56536\n91258 100000\n31021 46505\n39771 59589\n83226 100000\n86691 100000\n69168 100000\n11247 16938\n3672 5515\n49930 74882\n38310 57412\n1182 1783\n9256 13922\n56306 84451\n90821 100000\n32459 48680\n79655 100000\n82241 100000\n49780 74664\n8946 13460\n46193 69246\n52767 79147\n60695 91062\n70693 100000\n71409 100000\n70656 100000\n86845 100000\n54546 81805\n32875 49306\n59287 88944\n69698 100000\n38108 57106\n50293 75428\n2417 3628\n76508 100000\n27614 41400\n68825 100000\n60621 90948\n99247 100000\n67428 100000\n74246 100000\n95590 100000\n10604 15971\n21861 32804\n48470 72685\n82477 100000\n95686 100000\n71237 100000\n12982 19517\n72349 100000\n70794 100000\n64013 96042\n97255 100000\n50728 76096\n72864 100000\n1478 2224\n71959 100000\n23134 34709\n273 400\n64083 96144\n51355 77056\n20607 30911\n92906 100000\n80304 100000\n16692 25046\n33782 50664\n48772 73146\n94479 100000\n25673 38492\n70961 100000\n29231 43825\n76271 100000\n16820 25227\n52102 78160\n83353 100000\n46469 69677\n78943 100000\n23526 35294\n33595 50385\n5764 8691\n96432 100000\n10143 15283\n61534 92324\n20934 31381\n49691 74539\n19832 29735\n35317 52960\n87434 100000\n27073 40579\n20051 30074\n47914 71854\n62702 94067\n1736 2607\n95665 100000\n78200 100000\n20242 30359\n8538 12861\n70431 100000\n58726 88095\n92842 100000\n19163 28736\n51224 76859\n18211 27288\n5257 7932\n31636 47431\n4540 6826\n40647 60906\n71385 100000\n90075 100000\n63651 95493\n9181 13811\n36934 55389\n42063 63049\n45140 67644\n9710 14606\n40664 60932\n77515 100000\n11504 17320\n83030 100000\n18147 27199\n23707 35564\n31504 47235\n29046 43547\n18979 28457\n13445 20203\n73389 100000\n37403 56076\n44188 66213\n53097 79652\n95573 100000\n59971 89980\n85079 100000\n86004 100000\n71784 100000\n65229 97847\n10473 15769\n85829 100000\n34151 51214\n54871 82282\n40706 60996\n16934 25393\n13363 20082\n64436 96672\n41896 62800\n62686 94045\n20134 30195\n68740 100000\n14705 22066\n93989 100000\n1081 1623\n38473 57655\n33399 50094\n96148 100000\n73274 100000\n69307 100000\n32030 48033\n11363 17107\n95648 100000\n79299 100000\n45896 68792\n84644 100000\n1317 1981\n14398 21614\n16026 24046\n30850 46248\n33849 50766\n51077 76635\n55825 83722\n16325 24506\n59209 88821\n55491 83223\n26905 40329\n43513 65196\n47471 71191\n84832 100000\n18157 27214\n19738 29600\n44639 66899\n65431 98145\n66478 99717\n11540 17373\n46290 69406\n35051 52567\n56656 84985\n27298 40915\n80459 100000\n88111 100000\n94867 100000\n42039 63013\n94228 100000\n30899 46324\n7849 11832\n72275 100000\n13005 19553\n67333 100000\n29356 44011\n45069 67534\n52392 78591\n29876 44789\n45606 68347\n94241 100000\n17702 26556\n64219 96344\n41085 61584\n29705 44538\n17144 25721\n59468 89214\n73261 100000\n12042 18126\n67688 100000\n10719 16147\n60761 91149\n348 508\n12829 19301\n59834 89775\n34631 51947\n90619 100000\n34135 51189\n9915 14927\n25516 38251\n81040 100000\n65158 97746\n68308 100000\n95690 100000\n8729 13139\n94015 100000\n91237 100000\n22266 33426\n5076 7655\n13510 20288\n79706 100000\n81260 100000\n88680 100000\n74277 100000\n1000 1502\n62190 93296\n60161 90270\n79561 100000\n59924 89907\n76692 100000\n17953 26921\n71648 100000\n99316 100000\n92902 100000\n56857 85287\n32521 48779\n74280 100000\n3458 5203\n65357 98035\n89957 100000\n80888 100000\n97407 100000\n9462 14237\n72048 100000\n44401 66534\n80100 100000\n65008 97522\n83284 100000\n68869 100000\n78865 100000\n7725 11648\n3837 5758\n35916 53855\n47657 71475\n12492 18801\n37986 56929\n62924 94411\n70705 100000\n33855 50774\n5304 8006\n36601 54895\n95817 100000\n35335 52987\n67384 100000\n84319 100000\n26856 40255\n31905 47836\n1337 2009\n51623 77446\n22053 33100\n87345 100000\n42245 63319\n97418 100000\n42235 63302\n27358 41003\n85429 100000\n95069 100000\n24235 36342\n5843 8811\n25227 37820\n75491 100000\n3596 5400\n83479 100000\n91385 100000\n23063 34605\n15993 23995\n48257 72371\n62219 93342\n42780 64099\n44830 67174\n43238 64791\n7052 10637\n87010 100000\n29022 43513\n22683 34032\n30234 45312\n83114 100000\n81011 100000\n16715 25078\n39713 59498\n87041 100000\n97105 100000\n51510 77272\n14037 21067\n91465 100000\n44866 67233\n62446 93682\n61551 92353\n34487 51722\n59168 88756\n86850 100000\n97572 100000\n98105 100000\n5099 7690\n24172 36250\n29303 43933\n29191 43765\n59330 89009\n76693 100000\n78412 100000\n89283 100000\n30820 46208\n50611 75908\n12119 18242\n37339 55983\n98294 100000\n49813 74708\n93765 100000\n96928 100000\n32522 48780\n4528 6808\n22765 34156\n14658 22000\n27556 41309\n931 1398\n33563 50338\n16024 24043\n13632 20467\n9327 14030\n78730 100000\n93074 100000\n14910 22369\n1412 2127\n68242 100000\n95271 100000\n11849 17826\n96708 100000\n25726 38576\n66720 100000\n29066 43574\n40943 61361\n27792 41660\n40237 60295\n92182 100000\n15882 23825\n85086 100000\n64438 96676\n59903 89875\n2708 4070\n98581 100000\n90111 100000\n45330 67926\n89187 100000\n80548 100000\n18557 27808\n68463 100000\n87718 100000\n6976 10530\n8649 13022\n70974 100000\n40792 61133\n30945 46397\n58005 87022\n1619 2430\n82426 100000\n56355 84519\n43716 65500\n19301 28941\n2799 4206\n32441 48651\n46950 70409\n2343 3523\n56840 85258\n36337 54493\n2804 4214\n53020 79529\n45778 68616\n48350 72503\n8129 12240\n8711 13114\n24571 36837\n66693 100000\n21697 32547\n98603 100000\n67698 100000\n88338 100000\n89779 100000\n30051 45049\n73904 100000\n96874 100000\n36405 54596\n56549 84816\n52338 78513\n77749 100000\n27707 41535\n44021 65959\n85775 100000\n91163 100000\n73849 100000\n37883 56774\n25113 37656\n15316 22984\n94511 100000\n89770 100000\n81476 100000\n9159 13779\n4271 6424\n81458 100000\n21680 32522\n27410 41079\n14587 21894\n24661 36972\n44102 66086\n4605 6928\n42588 63826\n91172 100000\n64178 96282\n48849 73259\n20063 30092\n38597 57842\n89400 100000\n39197 58723\n27560 41315\n40640 60895\n30896 46320\n56755 85129\n85180 100000\n81472 100000\n32660 48985\n32147 48204\n79374 100000\n677 1010\n58067 87115\n99145 100000\n54562 81828\n56770 85154\n42224 63287\n86478 100000\n40539 60745\n29219 43806\n73121 100000\n49122 73659\n41577 62316\n22717 34083\n19421 29115\n70098 100000\n53015 79522\n63499 95272\n22569 33867\n2281 3425\n66196 99289\n70153 100000\n34967 52450\n98295 100000\n98942 100000\n50036 75045\n37798 56652\n6370 9628\n34607 51908\n94567 100000\n29405 44088\n79097 100000\n81973 100000\n92948 100000\n75744 100000\n43508 65189\n53570 80367\n32421 48620\n64883 97333\n27322 40949\n75451 100000\n2729 4100\n40468 60639\n48382 72551\n92688 100000\n89981 100000\n185 274\n84535 100000\n76555 100000\n999 1500\n85564 100000\n58755 88134\n26511 39745\n38401 57549\n86606 100000\n25930 38886\n41358 61979\n96512 100000\n79403 100000\n81964 100000\n12561 18905\n39005 58437\n12584 18939\n67784 100000\n89258 100000\n42785 64106\n22057 33105\n80320 100000\n42415 63577\n84443 100000\n71722 100000\n64727 97105\n20985 31457\n38586 57829\n68984 100000\n42067 63055\n79320 100000\n82893 100000\n95152 100000\n64384 96593\n29112 43643\n61321 92002\n24512 36750\n51744 77622\n39155 58658\n47508 71248\n49154 73709\n25309 37940\n43191 64717\n15684 23539\n26656 39965\n77476 100000\n12496 18808\n59623 89458\n36750 55112\n19642 29450\n24034 36046\n72198 100000\n49301 73936\n32846 49261\n67370 100000\n83346 100000\n25068 37589\n28744 43088\n51096 76664\n4507 6778\n39872 59750\n15257 22900\n98081 100000\n23895 35837\n60239 90385\n86687 100000\n71201 100000\n81896 100000\n35970 53941\n2992 4497\n10921 16447\n99192 100000\n22480 33739\n15015 22529\n18644 27945\n50814 76227\n49351 74012\n64753 97141\n93798 100000\n66562 99848\n24433 36633\n62567 93862\n24451 36662\n6093 9202\n75285 100000\n37228 55812\n14968 22459\n40019 59969\n73809 100000\n30788 46155\n30841 46238\n15946 23923\n32263 48377\n31306 46935\n29102 43628\n86204 100000\n79398 100000\n93984 100000\n71906 100000\n33104 49664\n86185 100000\n4005 6011\n79925 100000\n29746 44606\n92236 100000\n23223 34844\n67568 100000\n12938 19448\n70253 100000\n42220 63282\n48153 72209\n68244 100000\n69033 100000\n40813 61163\n77096 100000\n76637 100000\n10361 15606\n75369 100000\n19934 29893\n29807 44690\n69854 100000\n78937 100000\n88624 100000\n19051 28567\n48037 72035\n45181 67706\n46966 70433\n69511 100000\n64114 96193\n79102 100000\n23580 35376\n44477 66654\n77935 100000\n39363 58968\n80616 100000\n48388 72561\n96057 100000\n64541 96830\n98879 100000\n41374 62003\n39472 59131\n99336 100000\n57153 85738\n1540 2319\n81739 100000\n35818 53711\n18671 27988\n87000 100000\n79716 100000\n60376 90581\n12583 18938\n98317 100000\n54876 82289\n88965 100000\n58186 87293\n69000 100000\n66962 100000\n57149 85733\n99829 100000\n58647 87977\n22255 33409\n99008 100000\n45254 67812\n50068 75088\n21198 31782\n97330 100000\n73782 100000\n98726 100000\n9305 13998\n51553 77338\n14663 22007\n46931 70381\n53182 79780\n77675 100000\n15642 23480\n93811 100000\n69801 100000\n94669 100000\n79184 100000\n85242 100000\n55060 82560\n7722 11643\n63183 94815\n48080 72103\n41596 62347\n22671 34016\n50472 75699\n1331 2002\n33126 49695\n12110 18226\n86821 100000\n65345 98018\n44169 66184\n90940 100000\n13718 20598\n6446 9733\n28115 42150\n92584 100000\n55726 83570\n73149 100000\n39130 58618\n36115 54159\n92652 100000\n23481 35228\n17452 26182\n50138 75197\n96574 100000\n83392 100000\n5654 8526\n24501 36734\n31583 47347\n84273 100000\n80212 100000\n78375 100000\n207 306\n61984 92993\n43911 65797\n57985 86992\n62955 94463\n35229 52835\n19612 29409\n23555 35334\n88182 100000\n74612 100000\n22618 33936\n65654 98482\n74269 100000\n30940 46390\n60231 90374\n54047 81083\n14007 21025\n34877 52311\n64314 96490\n77654 100000\n35201 52793\n51222 76856\n12936 19446\n19082 28615\n89724 100000\n86874 100000\n3375 5070\n78854 100000\n69321 100000\n94484 100000\n8278 12453\n60556 90858\n94093 100000\n94621 100000\n91756 100000\n59847 89797\n23099 34657\n5060 7632\n5452 8228\n73650 100000\n99636 100000\n78876 100000\n94672 100000\n8560 12895\n75040 100000\n54191 81290\n71588 100000\n10421 15694\n65745 98613\n78001 100000\n66344 99516\n69765 100000\n71789 100000\n44720 67015\n32031 48035\n60314 90493\n86940 100000\n95198 100000\n31390 47059\n2371 3565\n91942 100000\n58746 88124\n17225 25840\n27513 41242\n86853 100000\n63466 95223\n57858 86795\n8685 13074\n39513 59194\n82731 100000\n86029 100000\n24730 37077\n97940 100000\n36760 55127\n5759 8683\n76142 100000\n12984 19519\n80864 100000\n31477 47193\n28564 42820\n58632 87955\n24602 36880\n80607 100000\n61916 92893\n78176 100000\n85053 100000\n58149 87239\n97600 100000\n27338 40974\n40968 61403\n23527 35295\n5511 8312\n53035 79551\n97236 100000\n50064 75084\n72584 100000\n93243 100000\n45780 68619\n33934 50885\n94184 100000\n9582 14412\n98978 100000\n34429 51633\n65112 97676\n77406 100000\n80668 100000\n20923 31365\n7654 11536\n67553 100000\n1662 2497\n13304 19992\n75257 100000\n297 434\n32078 48105\n59173 88762\n54477 81709\n64305 96478\n21158 31721\n66786 100000\n59018 88527\n51904 77858\n41621 62385\n15005 22513\n74110 100000\n28394 42564\n29215 43800\n133 199\n65960 98930\n81936 100000\n23648 35479\n24654 36960\n5849 8820\n13653 20497\n12874 19361\n69989 100000\n93665 100000\n91375 100000\n70800 100000\n21698 32549\n90758 100000\n88741 100000\n28973 43435\n73401 100000\n85232 100000\n32569 48849\n38045 57013\n98254 100000\n97526 100000\n65305 97955\n21289 31914\n34077 51104\n42944 64341\n23417 35130\n4449 6699\n98659 100000\n56382 84561\n79540 100000\n4662 7019\n96557 100000\n65987 98974\n13030 19592\n99735 100000\n454 675\n22231 33377\n93872 100000\n22135 33223\n4665 7023\n48660 72981\n49638 74457\n33506 50255\n76560 100000\n47493 71228\n93906 100000\n24066 36094\n23805 35707\n92034 100000\n85114 100000\n40309 60403\n86006 100000\n55257 82861\n2328 3500\n84547 100000\n15423 23147\n68196 100000\n56233 84339\n89543 100000\n53147 79727\n80199 100000\n11276 16981\n59692 89561\n51134 76722\n5879 8873\n24191 36280\n90969 100000\n48328 72472\n91146 100000\n96580 100000\n85456 100000\n22880 34330\n2800 4208\n88754 100000\n49829 74732\n40305 60398\n65878 98803\n38339 57453\n84962 100000\n70324 100000\n1273 1913\n75156 100000\n47119 70657\n52022 78038\n57876 86820\n49602 74404\n14449 21689\n50341 75497\n46742 70094\n86069 100000\n57269 85915\n67933 100000\n2268 3405\n74708 100000\n55165 82722\n93538 100000\n53794 80705\n83067 100000\n48116 72151\n55204 82775\n72299 100000\n66524 99789\n21207 31796\n12767 19212\n8671 13054\n41003 61459\n76472 100000\n62861 94313\n10110 15236\n78077 100000\n3407 5120\n6872 10379\n32927 49383\n87106 100000\n96903 100000\n83430 100000\n50772 76163\n53474 80217\n71226 100000\n37557 56298\n61699 92565\n76730 100000\n78871 100000\n91386 100000\n53236 79862\n81060 100000\n65264 97896\n77527 100000\n27229 40811\n74083 100000\n76228 100000\n80158 100000\n89126 100000\n23771 35658\n1756 2632\n96257 100000\n2768 4161\n81188 100000\n42126 63145\n39101 58576\n14506 21772\n72450 100000\n538 806\n61723 92606\n11326 17050\n36790 55176\n36286 54416\n91196 100000\n67191 100000\n23164 34751\n12648 19034\n84635 100000\n31927 47866\n72977 100000\n45821 68675\n11132 16763\n53827 80749\n55823 83718\n51607 77423\n55251 82852\n26486 39714\n8426 12686\n26936 40376\n89893 100000\n7867 11859\n66147 99221\n45208 67747\n89811 100000\n41365 61989\n85325 100000\n86403 100000\n69244 100000\n32971 49454\n65377 98064\n56918 85380\n45635 68397\n21358 32022\n75437 100000\n28310 42440\n50087 75117\n67924 100000\n87396 100000\n29653 44459\n22407 33632\n7798 11757\n58057 87102\n17588 26388\n47918 71860\n81019 100000\n11855 17836\n96002 100000\n83049 100000\n35190 52777\n92479 100000\n4165 6254\n3226 4848\n73888 100000\n68418 100000\n70905 100000\n22156 33254\n4456 6708\n13517 20297\n40252 60318\n77321 100000\n76184 100000\n27940 41886\n29134 43676\n80624 100000\n48285 72409\n55695 83524\n38985 58410\n53410 80113\n49492 74228\n74881 100000\n86552 100000\n88676 100000\n81416 100000\n2851 4283\n50239 75346\n2362 3552\n85350 100000\n28990 43461\n44778 67101\n24692 37017\n56398 84585\n27493 41209\n19334 28988\n93779 100000\n78318 100000\n76404 100000\n65649 98474\n46446 69644\n57643 86478\n28831 43221\n5634 8497\n709 1054\n87463 100000\n94801 100000\n20215 30320\n35699 53530\n28250 42350\n35777 53650\n48135 72179\n68645 100000\n25555 38308\n75003 100000\n64239 96375\n76487 100000\n690 1028\n33872 50798\n96264 100000\n81724 100000\n77872 100000\n47154 70708\n80156 100000\n81914 100000\n18546 27794\n63969 95979\n2233 3348\n56617 84926\n88758 100000\n56895 85345\n23703 35558\n39926 59828\n98059 100000\n15394 23104\n76225 100000\n44702 66992\n34201 51287\n71141 100000\n59416 89138\n15375 23080\n79860 100000\n94227 100000\n70937 100000\n4512 6784\n43968 65879\n24800 37183\n27434 41116\n50852 76288\n71670 100000\n98411 100000\n18081 27106\n40704 60992\n96829 100000\n75659 100000\n5256 7930\n61675 92527\n45777 68615\n61213 91842\n3194 4798\n66558 99840\n93407 100000\n53500 80254\n30482 45691\n14795 22198\n61568 92376\n7026 10597\n32943 49412\n95435 100000\n38776 58094\n78289 100000\n59800 89725\n88194 100000\n6606 9980\n91134 100000\n41368 61993\n51319 76999\n88554 100000\n37204 55777\n37531 56258\n97985 100000\n43982 65902\n45702 68505\n30346 45475\n30337 45462\n57894 86847\n8749 13166\n7060 10647\n83872 100000\n7479 11273\n66159 99237\n83846 100000\n1243 1869\n41471 62154\n50408 75604\n58749 88127\n63084 94663\n77895 100000\n69731 100000\n27228 40810\n58231 87363\n63930 95920\n33742 50605\n3343 5024\n47600 71386\n33921 50865\n79067 100000\n8293 12475\n91486 100000\n34912 52365\n94237 100000\n11446 17236\n93694 100000\n54731 82076\n7101 10703\n90462 100000\n78974 100000\n40425 60577\n93463 100000\n56624 84935\n36100 54132\n47437 71138\n678 1012\n20632 30946\n89934 100000\n78480 100000\n64106 96180\n32845 49260\n27313 40936\n93642 100000\n32322 48472\n77713 100000\n99812 100000\n91309 100000\n34978 52463\n22033 33071\n4903 7390\n88955 100000\n56886 85330\n68155 100000\n79280 100000\n26203 39295\n63992 96013\n5666 8545\n22658 33997\n71091 100000\n7161 10795\n58296 87463\n53745 80630\n96969 100000\n81150 100000\n16835 25246\n9249 13913\n61827 92757\n38579 57816\n54846 82246\n20054 30077\n61727 92612\n63883 95846\n30767 46121\n56444 84654\n76296 100000\n59981 89995\n21083 31608\n170 254\n60612 90933\n58692 88042\n49997 74988\n61034 91567\n11320 17041\n87591 100000\n40448 60611\n6120 9240\n69165 100000\n48892 73324\n46515 69747\n57977 86978\n24930 37374\n21635 32446\n4576 6883\n82740 100000\n26680 40001\n21010 31495\n32815 49216\n61567 92374\n26582 39850\n35990 53972\n58283 87441\n76105 100000\n86322 100000\n70485 100000\n82918 100000\n41355 61973\n32205 48292\n67761 100000\n79943 100000\n39559 59263\n82300 100000\n56459 84678\n39912 59804\n10494 15800\n75559 100000\n92716 100000\n85968 100000\n98650 100000\n95783 100000\n39397 59021\n14326 21505\n21926 32902\n32795 49188\n80494 100000\n67690 100000\n58303 87472\n27132 40670\n9673 14550\n32712 49062\n64682 97040\n786 1180\n50655 75974\n99189 100000\n6864 10367\n85549 100000\n65639 98461\n74479 100000\n7754 11690\n53123 79693\n34942 52410\n90431 100000\n62199 93309\n42023 62990\n83751 100000\n44776 67098\n30550 45794\n65025 97547\n94047 100000\n95680 100000\n88358 100000\n97383 100000\n12266 18467\n86293 100000\n92967 100000\n45964 68897\n85075 100000\n12064 18162\n22083 33140\n15617 23441\n96651 100000\n5361 8090\n43064 64529\n9370 14093\n32299 48439\n13442 20200\n61324 92005\n21768 32660\n95738 100000\n93307 100000\n1550 2333\n20834 31232\n50542 75805\n6117 9236\n83886 100000\n12178 18332\n89134 100000\n89736 100000\n71114 100000\n31589 47357\n52633 78954\n84072 100000\n3495 5254\n39321 58907\n45959 68889\n82416 100000\n40194 60233\n25248 37850\n17095 25647\n23419 35132\n7544 11371\n73263 100000\n62910 94391\n73349 100000\n21902 32865\n55699 83530\n58968 88457\n44728 67026\n61654 92497\n89497 100000\n14766 22157\n20330 30482\n60551 90850\n11737 17663\n85258 100000\n86423 100000\n22605 33917\n46180 69227\n95994 100000\n93130 100000\n11793 17737\n71395 100000\n72062 100000\n23298 34959\n43239 64793\n37982 56923\n96114 100000\n53183 79782\n83235 100000\n51459 77197\n31770 47631\n56677 85013\n29386 44057\n70238 100000\n29911 44844\n86188 100000\n62952 94459\n77333 100000\n12892 19384\n34991 52483\n16387 24596\n53532 80304\n46614 69895\n35142 52700\n94171 100000\n65383 98074\n25557 38311\n93837 100000\n79264 100000\n58979 88472\n34285 51412\n63639 95476\n51498 77253\n43026 64466\n48176 72243\n10472 15767\n31402 47079\n65175 97768\n69353 100000\n15498 23256\n85803 100000\n89167 100000\n54642 81943\n81670 100000\n16017 24031\n65956 98925\n20180 30269\n7864 11853\n80760 100000\n21793 32699\n35562 53329\n51941 77914\n43321 64919\n77651 100000\n9936 14964\n19841 29749\n20916 31356\n25387 38059\n31494 47217\n16905 25351\n7270 10960\n46381 69548\n55226 82807\n19923 29876\n63567 95370\n70496 100000\n76034 100000\n61554 92358\n88505 100000\n59554 89351\n71106 100000\n87684 100000\n31926 47864\n4616 6944\n9320 14021\n28112 42146\n96779 100000\n23279 34927\n54682 82003\n30589 45854\n78711 100000\n7361 11095\n16336 24524\n25811 38705\n72695 100000\n66919 100000\n24819 37211\n60912 91384\n22547 33836\n71992 100000\n28061 42077\n90848 100000\n88469 100000\n51286 76950\n84538 100000\n98889 100000\n38837 58187\n18784 28161\n71465 100000\n24080 36115\n14567 21860\n10171 15326\n803 1205\n17189 25788\n94675 100000\n65096 97649\n28062 42078\n67552 100000\n44373 66488\n34596 51892\n77837 100000\n16506 24773\n30811 46192\n61582 92396\n61598 92416\n48757 73125\n19627 29431\n97284 100000\n91779 100000\n16656 24990\n10411 15681\n33763 50636\n77715 100000\n29402 44084\n53225 79846\n21435 32142\n44493 66678\n67797 100000\n33073 49615\n85619 100000\n67442 100000\n90103 100000\n65450 98176\n64510 96780\n9112 13707\n61680 92535\n74999 100000\n52423 78640\n30184 45239\n56419 84617\n61313 91988\n16676 25021\n24944 37394\n79899 100000\n72289 100000\n60943 91433\n15948 23926\n38974 58396\n78600 100000\n21929 32907\n74841 100000\n10366 15615\n9226 13876\n24503 36736\n48363 72522\n47224 70812\n13056 19635\n84671 100000\n68520 100000\n16245 24378\n42399 63553\n548 824\n86252 100000\n22381 33590\n29676 44495\n43908 65793\n10042 15131\n15787 23686\n21880 32836\n21050 31561\n47135 70682\n66692 100000\n51977 77967\n23445 35172\n14593 21902\n93937 100000\n40147 60164\n23123 34693\n6357 9606\n37759 56593\n14868 22304\n19791 29675\n5100 7692\n1047 1575\n78202 100000\n95839 100000\n47241 70842\n6924 10452\n33075 49617\n15322 22995\n56052 84065\n29500 44232\n13745 20636\n82073 100000\n61860 92809\n4957 7477\n80712 100000\n48441 72641\n98265 100000\n67169 100000\n71660 100000\n42463 63650\n77319 100000\n30503 45719\n97968 100000\n8637 13006\n42818 64152\n73999 100000\n75830 100000\n52946 79414\n99763 100000\n36619 54921\n22146 33239\n3044 4576\n70777 100000\n50924 76401\n17179 25775\n25037 37543\n26732 40075\n72475 100000\n16678 25024\n43521 65209\n67125 100000\n62607 93927\n82314 100000\n89503 100000\n78904 100000\n70872 100000\n96864 100000\n22215 33353\n85832 100000\n34136 51190\n69434 100000\n43757 65563\n23060 34601\n39653 59405\n91614 100000\n32717 49068\n68392 100000\n81449 100000\n36082 54105\n71824 100000\n57581 86383\n46971 70440\n98343 100000\n12974 19507\n1770 2650\n68859 100000\n36662 54980\n74382 100000\n26794 40166\n4417 6648\n11982 18030\n97039 100000\n39718 59507\n27947 41896\n92482 100000\n68274 100000\n28068 42085\n85139 100000\n34659 51987\n32047 48060\n9104 13696\n28540 42786\n52643 78968\n631 945\n21132 31683\n79642 100000\n67340 100000\n99132 100000\n48120 72157\n94748 100000\n60494 90760\n62341 93525\n40232 60289\n48893 73326\n65794 98683\n62352 93544\n56780 85168\n25956 38923\n64938 97415\n61648 92487\n6222 9395\n68677 100000\n58178 87280\n16679 25025\n15972 23963\n3719 5582\n51168 76771\n96959 100000\n19808 29700\n4789 7215\n91847 100000\n43262 64828\n15526 23303\n37688 56489\n43025 64465\n81044 100000\n92338 100000\n8299 12485\n22095 33160\n86904 100000\n58533 87807\n87390 100000\n64981 97480\n11985 18034\n52288 78439\n40699 60983\n62505 93767\n58386 87589\n78610 100000\n78168 100000\n20519 30769\n46828 70223\n30668 45972\n33999 50987\n68964 100000\n55095 82614\n54947 82391\n5685 8572\n15612 23434\n85484 100000\n35779 53652\n95004 100000\n65429 98142\n76533 100000\n16779 25165\n85421 100000\n56297 84436\n39656 59409\n11691 17592\n7393 11142\n84449 100000\n81818 100000\n40769 61095\n23300 34962\n91595 100000\n34844 52262\n49466 74185\n33004 49506\n66529 99796\n7532 11349\n39250 58802\n85228 100000\n62600 93916\n44303 66387\n26184 39267\n19609 29405\n2894 4348\n11438 17222\n6144 9274\n42114 63127\n56362 84529\n47697 71536\n88618 100000\n23022 34544\n9082 13668\n70513 100000\n27320 40946\n37945 56865\n7749 11685\n55416 83110\n43347 64952\n46814 70203\n74520 100000\n18155 27211\n91762 100000\n2476 3715\n71179 100000\n77556 100000\n63677 95533\n19183 28767\n72438 100000\n95401 100000\n43498 65172\n28097 42124\n70182 100000\n51372 77080\n25903 38841\n35193 52781\n1119 1685\n70276 100000\n60127 90218\n38345 57462\n79381 100000\n68723 100000\n68310 100000\n73457 100000\n4941 7453\n29378 44041\n98319 100000\n33288 49930\n5401 8151\n83567 100000\n78745 100000\n95118 100000\n69809 100000\n74157 100000\n87540 100000\n50180 75260\n50551 75818\n74558 100000\n48137 72182\n91826 100000\n54726 82068\n37808 56667\n92891 100000\n34272 51391\n8498 12797\n10762 16209\n74318 100000\n76230 100000\n31842 47744\n3316 4986\n28340 42485\n16589 24890\n11246 16937\n55184 82746\n87827 100000\n70535 100000\n63674 95529\n61808 92727\n83517 100000\n41424 62082\n12572 18923\n79974 100000\n73424 100000\n16649 24981\n82022 100000\n62923 94410\n65381 98072\n40658 60923\n19275 28902\n90221 100000\n48563 72834\n72226 100000\n66782 100000\n88465 100000\n38769 58082\n70653 100000\n61785 92693\n96543 100000\n51178 76786\n17658 26490\n72460 100000\n96204 100000\n11025 16604\n51201 76824\n54072 81123\n56453 84667\n92215 100000\n6629 10012\n96400 100000\n29788 44666\n87531 100000\n49610 74414\n39476 59137\n36070 54086\n66331 99497\n40439 60596\n10213 15387\n14787 22186\n21204 31791\n51909 77866\n7865 11855\n4987 7520\n29741 44597\n75823 100000\n3530 5301\n51706 77572\n10889 16398\n56488 84721\n10910 16430\n12006 18069\n93992 100000\n98178 100000\n26063 39085\n586 880\n574 862\n29287 43912\n47832 71738\n70646 100000\n15704 23570\n58456 87692\n75764 100000\n81129 100000\n20167 30247\n53931 80907\n55215 82788\n71009 100000\n69344 100000\n9565 14388\n51771 77663\n97188 100000\n18469 27675\n39765 59580\n77318 100000\n69256 100000\n64566 96864\n62048 93085\n32762 49137\n15487 23240\n60820 91236\n77795 100000\n67653 100000\n57465 86214\n91646 100000\n71456 100000\n11319 17040\n58302 87471\n4542 6829\n75102 100000\n68357 100000\n11524 17348\n65441 98161\n63211 94852\n34222 51320\n81651 100000\n71515 100000\n72754 100000\n59309 88978\n34037 51045\n83283 100000\n99639 100000\n19026 28528\n62705 94071\n5230 7888\n35945 53904\n69107 100000\n51489 77240\n1304 1962\n21341 31993\n67769 100000\n29985 44955\n89923 100000\n82344 100000\n25763 38630\n68054 100000\n70137 100000\n29169 43730\n20190 30285\n86946 100000\n95843 100000\n76941 100000\n68679 100000\n36570 54848\n39711 59495\n8772 13202\n18604 27878\n47509 71250\n75299 100000\n3637 5461\n73847 100000\n43754 65559\n38479 57663\n11491 17302\n90703 100000\n64421 96649\n32361 48527\n32353 48514\n6044 9131\n90504 100000\n4286 6445\n57769 86666\n69258 100000\n69794 100000\n33657 50481\n96033 100000\n80180 100000\n27262 40864\n47568 71338\n31839 47739\n61836 92772\n30990 46458\n35749 53610\n36630 54937\n35491 53222\n52902 79353\n12515 18836\n40982 61425\n48865 73285\n27735 41575\n55374 83045\n35298 52935\n2255 3385\n50784 76181\n33622 50425\n24820 37213\n67122 100000\n68222 100000\n80968 100000\n91410 100000\n32154 48216\n88515 100000\n30359 45492\n46852 70263\n72721 100000\n1261 1898\n42198 63251\n49423 74122\n87637 100000\n5719 8627\n78274 100000\n42264 63349\n97186 100000\n15645 23483\n25906 38846\n64107 96181\n3315 4985\n72893 100000\n73082 100000\n26250 39369\n20082 30120\n97493 100000\n97766 100000\n88565 100000\n29586 44357\n90337 100000\n89143 100000\n75684 100000\n96386 100000\n72272 100000\n42582 63818\n30795 46167\n25870 38793\n67055 100000\n52597 78902\n67481 100000\n50347 75506\n46248 69339\n83939 100000\n79594 100000\n70081 100000\n70772 100000\n28708 43037\n55863 83779\n26351 39513\n73857 100000\n80313 100000\n78549 100000\n23196 34801\n94309 100000\n44413 66554\n89189 100000\n80877 100000\n40098 60089\n47447 71152\n51752 77634\n27260 40860\n47956 71917\n64909 97372\n75094 100000\n64251 96393\n29927 44869\n17363 26049\n48007 71989\n65401 98101\n10069 15171\n88216 100000\n22903 34365\n16321 24500\n69992 100000\n57335 86016\n58417 87636\n93037 100000\n55133 82674\n59645 89489\n88123 100000\n81531 100000\n43045 64495\n66015 99018\n33585 50371\n56701 85045\n47722 71573\n67533 100000\n18948 28404\n66632 99950\n14367 21565\n18149 27202\n34335 51489\n45731 68546\n43017 64451\n67518 100000\n43349 64955\n17458 26193\n25787 38669\n37000 55480\n47856 71770\n62615 93938\n65460 98192\n21755 32636\n63376 95088\n63268 94930\n28298 42420\n51905 77860\n56583 84871\n61463 92215\n71164 100000\n66836 100000\n25520 38256\n55432 83132\n41430 62091\n71262 100000\n19214 28814\n55292 82919\n76642 100000\n59720 89604\n80698 100000\n24910 37346\n92065 100000\n17945 26910\n89584 100000\n85486 100000\n15078 22622\n94914 100000\n48094 72122\n48716 73064\n64652 96991\n5807 8756\n70758 100000\n75964 100000\n26753 40105\n48003 71984\n92114 100000\n60152 90257\n60633 90965\n29013 43497\n53405 80105\n14767 22158\n44396 66525\n97804 100000\n32786 49175\n86976 100000\n43555 65261\n77538 100000\n63024 94570\n93218 100000\n38770 58083\n48708 73054\n8886 13368\n50999 76522\n56338 84498\n4178 6276\n84587 100000\n50002 74996\n76370 100000\n45725 68537\n87628 100000\n75329 100000\n24383 36560\n39061 58519\n6010 9079\n42171 63210\n11730 17652\n75326 100000\n48067 72083\n56561 84835\n31783 47654\n90290 100000\n46770 70136\n28042 42053\n85147 100000\n47977 71944\n13191 19830\n39469 59126\n5068 7643\n64975 97472\n35212 52809\n13188 19826\n89938 100000\n63894 95865\n35413 53107\n95277 100000\n72224 100000\n75658 100000\n96877 100000\n19310 28953\n23766 35651\n56916 85376\n52414 78629\n57777 86678\n82108 100000\n39944 59857\n793 1189\n47878 71805\n26867 40271\n49180 73749\n81339 100000\n66100 99152\n15873 23810\n69944 100000\n89625 100000\n26389 39572\n40953 61378\n52571 78861\n99815 100000\n27976 41948\n68500 100000\n16462 24707\n28447 42643\n26260 39383\n13141 19754\n80578 100000\n18803 28187\n52772 79153\n42762 64071\n23082 34633\n87526 100000\n24622 36911\n34732 52099\n50300 75438\n45810 68660\n53882 80833\n57107 85666\n68610 100000\n78296 100000\n8378 12610\n80521 100000\n69003 100000\n40662 60929\n91864 100000\n17806 26711\n51696 77557\n84220 100000\n3248 4880\n8956 13474\n47721 71571\n49637 74455\n13135 19746\n4945 7458\n25202 37784\n84883 100000\n469 700\n79930 100000\n4861 7326\n76982 100000\n2649 3979\n63354 95054\n98028 100000\n59249 88883\n28455 42654\n74776 100000\n46091 69095\n45264 67826\n32264 48379\n42019 62983\n87128 100000\n37473 56174\n47199 70778\n69968 100000\n86968 100000\n68355 100000\n84049 100000\n82819 100000\n23729 35600\n3042 4574\n27291 40904\n61097 91665\n49536 74300\n59644 89487\n89983 100000\n27695 41517\n45325 67919\n97019 100000\n53928 80902\n59501 89269\n36447 54660\n75476 100000\n93722 100000\n89294 100000\n2057 3081\n13026 19585\n66865 100000\n26116 39170\n85545 100000\n47335 70987\n97626 100000\n11738 17664\n95438 100000\n61522 92305\n79491 100000\n80562 100000\n69612 100000\n89476 100000\n99228 100000\n258 379\n27304 40921\n10112 15238\n48844 73250\n26726 40067\n92347 100000\n52691 79039\n79941 100000\n417 615\n2121 3182\n43499 65174\n7179 10821\n81632 100000\n72006 100000\n7572 11412\n82250 100000\n17070 25613\n43548 65252\n97372 100000\n47586 71365\n73738 100000\n69328 100000\n32321 48471\n33990 50975\n96058 100000\n10264 15462\n35058 52578\n2512 3771\n38568 57800\n69863 100000\n7184 10828\n14647 21984\n96585 100000\n25223 37814\n12896 19390\n22426 33664\n98835 100000\n45057 67514\n96125 100000\n53653 80494\n38356 57479\n15656 23499\n57313 85985\n6427 9707\n9821 14781\n97736 100000\n97066 100000\n99285 100000\n25925 38878\n89690 100000\n38801 58131\n16920 25371\n50463 75686\n34737 52106\n7513 11322\n4814 7251\n725 1084\n67565 100000\n53873 80821\n99410 100000\n24388 36568\n66664 100000\n78963 100000\n29286 43910\n76641 100000\n91136 100000\n44274 66341\n74611 100000\n72564 100000\n22334 33524\n60720 91097\n62933 94426\n4244 6381\n57239 85870\n51647 77484\n79487 100000\n94747 100000\n91892 100000\n92410 100000\n21599 32385\n63048 94604\n45282 67854\n72083 100000\n44033 65978\n45917 68825\n56644 84965\n85804 100000\n73459 100000\n13844 20786\n56275 84398\n79793 100000\n22790 34194\n10119 15248\n72034 100000\n15239 22874\n43131 64625\n72843 100000\n9680 14558\n55984 83960\n11537 17367\n81052 100000\n69554 100000\n16733 25103\n9801 14751\n7648 11525\n41450 62121\n2552 3837\n19115 28665\n10214 15389\n23103 34663\n36449 54662\n56891 85339\n46016 68978\n89504 100000\n19122 28674\n17169 25761\n44933 67327\n53890 80844\n6999 10560\n88317 100000\n21371 32042\n97632 100000\n66832 100000\n24185 36270\n34279 51402\n20497 30735\n67650 100000\n67630 100000\n13350 20063\n80333 100000\n94873 100000\n59042 88566\n7212 10870\n97463 100000\n27317 40942\n27495 41212\n30365 45502\n74228 100000\n76529 100000\n1299 1952\n15966 23952\n42885 64252\n84520 100000\n29249 43851\n9368 14089\n90899 100000\n9572 14399\n475 710\n71851 100000\n14784 22180\n87803 100000\n94188 100000\n90100 100000\n44564 66792\n91975 100000\n54664 81978\n31920 47856\n5558 8382\n16764 25146\n31611 47392\n98665 100000\n66286 99426\n45427 68072\n51054 76602\n68438 100000\n11312 17030\n21906 32870\n61400 92122\n91875 100000\n34515 51766\n99484 100000\n90147 100000\n35566 53335\n77124 100000\n2219 3327\n58166 87263\n35396 53082\n19130 28688\n72421 100000\n86348 100000\n50759 76145\n6299 9517\n81154 100000\n47217 70804\n86314 100000\n33156 49740\n33472 50211\n29774 44646\n54653 81959\n75609 100000\n531 797\n11472 17273\n49191 73765\n48419 72608\n2668 4009\n82868 100000\n15151 22737\n18114 27152\n21257 31867\n39569 59277\n17043 25570\n500 748\n50161 75230\n18625 27913\n58544 87822\n12300 18513\n23802 35703\n50263 75382\n88555 100000\n35662 53480\n61565 92371\n73967 100000\n2164 3246\n14392 21606\n99585 100000\n12850 19327\n57978 86980\n84685 100000\n97749 100000\n16853 25273\n84140 100000\n69166 100000\n65941 98900\n53206 79819\n81933 100000\n58333 87516\n47965 71929\n5796 8741\n45764 68593\n33489 50233\n26910 40336\n64865 97304\n71500 100000\n56892 85340\n65983 98967\n88915 100000\n82161 100000\n32892 49332\n20791 31172\n20878 31298\n92516 100000\n78282 100000\n2297 3449\n32710 49058\n12329 18556\n28628 42913\n70558 100000\n84455 100000\n87218 100000\n64890 97344\n64903 97364\n11105 16724\n57533 86315\n47438 71140\n584 876\n77009 100000\n16143 24218\n31120 46651\n58246 87386\n69788 100000\n62534 93811\n2073 3106\n87943 100000\n73052 100000\n755 1130\n78704 100000\n91810 100000\n60784 91182\n68941 100000\n11748 17678\n45162 67677\n84964 100000\n45833 68695\n2418 3630\n49948 74910\n63842 95785\n5372 8108\n22894 34353\n51230 76867\n47683 71514\n16880 25315\n72949 100000\n22866 34309\n51740 77616\n71035 100000\n8979 13508\n96248 100000\n31736 47584\n86704 100000\n69816 100000\n99677 100000\n18183 27251\n22843 34275\n88186 100000\n29791 44671\n74245 100000\n18528 27766\n59559 89358\n2207 3307\n42983 64400\n22786 34189\n91581 100000\n47464 71180\n44157 66165\n68491 100000\n64102 96175\n31918 47853\n34653 51978\n56937 85406\n70948 100000\n48345 72497\n60886 91345\n5848 8819\n88349 100000\n55472 83195\n38228 57285\n19804 29695\n63578 95385\n81931 100000\n26150 39221\n84615 100000\n12221 18396\n37648 56432\n61386 92099\n96412 100000\n65314 97966\n62549 93834\n32434 48639\n88517 100000\n48225 72320\n2640 3968\n23328 35006\n9002 13545\n60698 91065\n97631 100000\n1912 2860\n50437 75646\n90835 100000\n55901 83837\n58135 87220\n84317 100000\n20085 30124\n43165 64676\n82754 100000\n72585 100000\n45244 67796\n50702 76052\n98994 100000\n29739 44593\n75968 100000\n46647 69942\n57699 86564\n57110 85672\n72260 100000\n98025 100000\n10486 15790\n46066 69057\n59103 88662\n2116 3174\n47905 71842\n53656 80498\n48334 72479\n89671 100000\n984 1478\n15583 23390\n33487 50230\n21505 32246\n41878 62773\n40818 61171\n64022 96054\n41677 62469\n12086 18190\n64573 96873\n2349 3533\n62268 93414\n23842 35757\n93816 100000\n5311 8016\n65731 98593\n65274 97909\n97270 100000\n36559 54831\n89656 100000\n11856 17837\n14285 21439\n98918 100000\n59469 89216\n3346 5027\n83056 100000\n76435 100000\n32844 49259\n24993 37470\n93044 100000\n27227 40808\n4291 6454\n25355 38009\n12462 18753\n42882 64247\n3786 5681\n3153 4742\n91097 100000\n84845 100000\n98134 100000\n36318 54468\n98491 100000\n47558 71326\n89053 100000\n87235 100000\n49551 74322\n73118 100000\n8105 12209\n13267 19939\n77294 100000\n15721 23593\n95389 100000\n86527 100000\n99091 100000\n55062 82562\n52134 78212\n59429 89156\n16906 25352\n85814 100000\n77986 100000\n7306 11013\n67284 100000\n47605 71394\n59352 89045\n55512 83255\n11949 17982\n43992 65916\n37977 56914\n71770 100000\n45041 67489\n66747 100000\n88202 100000\n6294 9508\n59299 88962\n84383 100000\n74418 100000\n40762 61083\n2918 4387\n53049 79573\n97016 100000\n8058 12138\n15510 23277\n24378 36552\n93313 100000\n33481 50224\n12172 18323\n59106 88666\n70230 100000\n7950 11983\n4591 6908\n87380 100000\n53997 81007\n69728 100000\n12416 18683\n58896 88341\n25492 38214\n40056 60023\n96034 100000\n25844 38755\n83383 100000\n57356 86052\n30698 46017\n91678 100000\n82634 100000\n64561 96858\n74570 100000\n83637 100000\n61521 92304\n54336 81514\n54347 81531\n48082 72107\n54189 81288\n29226 43819\n61703 92572\n44755 67070\n97241 100000\n29162 43720\n28955 43405\n94923 100000\n96636 100000\n48746 73109\n57179 85779\n74637 100000\n52998 79494\n80421 100000\n63563 95364\n21998 33012\n83288 100000\n83913 100000\n66682 100000\n77581 100000\n21691 32538\n64538 96825\n9030 13590\n465 693\n60254 90406\n76802 100000\n50698 76045\n2813 4227\n81842 100000\n33745 50611\n7426 11191\n9335 14041\n37990 56935\n20783 31160\n82270 100000\n70687 100000\n98168 100000\n62032 93062\n37915 56823\n6705 10129\n28775 43131\n72019 100000\n10995 16559\n84184 100000\n66107 99162\n35255 52874\n3396 5104\n71823 100000\n8139 12254\n20102 30149\n61564 92370\n44775 67096\n91431 100000\n24268 36389\n68499 100000\n79778 100000\n88032 100000\n69535 100000\n3053 4589\n48646 72961\n86689 100000\n57570 86367\n44615 66863\n82345 100000\n81837 100000\n85857 100000\n38752 58057\n8249 12412\n63949 95946\n66484 99727\n56610 84915\n13462 20225\n10751 16193\n60712 91086\n97505 100000\n65786 98670\n33402 50099\n91728 100000\n63086 94666\n15385 23092\n17872 26813\n29025 43517\n7536 11357\n68055 100000\n42178 63219\n15867 23802\n11250 16943\n1009 1516\n70994 100000\n86671 100000\n33626 50432\n37127 55667\n70097 100000\n60835 91263\n19517 29262\n31198 46766\n29117 43651\n17896 26847\n19584 29363\n82087 100000\n65308 97959\n51145 76738\n46669 69974\n88699 100000\n76964 100000\n74093 100000\n51837 77760\n35789 53667\n45694 68493\n85016 100000\n433 640\n41716 62528\n36424 54625\n43013 64447\n90260 100000\n8234 12391\n50406 75602\n77012 100000\n87141 100000\n50502 75747\n93445 100000\n10926 16456\n97684 100000\n30952 46405\n41906 62815\n35825 53722\n18818 28210\n20716 31063\n85632 100000\n19994 29990\n16190 24293\n89707 100000\n52782 79170\n98616 100000\n80983 100000\n5599 8447\n29423 44117\n95217 100000\n34822 52231\n17007 25508\n10340 15573\n73460 100000\n89244 100000\n73514 100000\n17966 26937\n17127 25696\n93667 100000\n78510 100000\n90544 100000\n62559 93848\n56087 84112\n50973 76479\n75302 100000\n79169 100000\n3970 5959\n8877 13353\n38343 57460\n14171 21268\n40675 60947\n86740 100000\n77287 100000\n3880 5823\n38080 57064\n76038 100000\n16085 24136\n3249 4882\n48006 71988\n89734 100000\n93571 100000\n77702 100000\n64947 97428\n3236 4862\n27547 41293\n29822 44713\n21263 31878\n35136 52690\n36899 55336\n66923 100000\n16744 25119\n26886 40301\n83603 100000\n39228 58773\n16273 24420\n18886 28311\n96863 100000\n43432 65078\n34943 52411\n74074 100000\n68779 100000\n59835 89776\n96619 100000\n67205 100000\n96177 100000\n16709 25070\n46462 69668\n41380 62010\n39077 58540\n57037 85562\n93774 100000\n56343 84504\n84018 100000\n46914 70355\n21942 32927\n20024 30033\n11303 17018\n79894 100000\n67689 100000\n35206 52801\n59384 89091\n60509 90784\n27549 41297\n11817 17773\n35565 53334\n8532 12851\n66924 100000\n54787 82154\n61247 91889\n30595 45862\n4384 6593\n33391 50082\n91754 100000\n21981 32986\n87958 100000\n29798 44680\n81483 100000\n76564 100000\n5070 7645\n56544 84808\n19176 28756\n50806 76214\n62598 93913\n23386 35087\n57991 87001\n44014 65947\n79671 100000\n94396 100000\n93326 100000\n2827 4247\n9937 14966\n19416 29110\n57258 85897\n13143 19758\n68059 100000\n63049 94605\n54175 81269\n99749 100000\n16914 25364\n47342 70995\n54451 81669\n35094 52628\n52878 79315\n44362 66471\n27694 41516\n9233 13887\n43463 65125\n8281 12458\n66730 100000\n7378 11117\n33734 50594\n11672 17565\n10406 15674\n10353 15591\n39760 59572\n4492 6759\n59203 88810\n9962 15006\n74561 100000\n85087 100000\n80447 100000\n70171 100000\n75668 100000\n68511 100000\n86231 100000\n52 79\n95415 100000\n92966 100000\n9190 13825\n28875 43291\n33510 50260\n10205 15374\n33640 50453\n56110 84147\n61501 92273\n93444 100000\n46758 70117\n76269 100000\n46041 69017\n86116 100000\n46057 69043\n88265 100000\n11493 17304\n56638 84956\n53341 80007\n60879 91335\n82157 100000\n55271 82885\n53443 80168\n75004 100000\n13226 19880\n44535 66744\n45141 67646\n32728 49086\n96189 100000\n94437 100000\n5225 7880\n88535 100000\n30565 45819\n82502 100000\n40893 61287\n90604 100000\n41507 62211\n19408 29099\n92003 100000\n41413 62063\n80473 100000\n79043 100000\n39823 59671\n19222 28824\n38714 58004\n58706 88065\n28500 42729\n82651 100000\n87419 100000\n90271 100000\n47236 70833\n50583 75865\n94903 100000\n5822 8778\n71196 100000\n19491 29220\n68306 100000\n32360 48525\n76505 100000\n88796 100000\n53894 80851\n80944 100000\n56079 84100\n13764 20664\n48460 72670\n57105 85663\n2169 3252\n55541 83298\n65103 97662\n69001 100000\n56140 84193\n52925 79384\n12174 18327\n50839 76268\n41554 62282\n40633 60886\n57604 86420\n98263 100000\n70438 100000\n67936 100000\n50306 75448\n83013 100000\n51302 76971\n13397 20131\n20108 30159\n45585 68313\n54730 82075\n90073 100000\n96541 100000\n31074 46583\n16753 25131\n16106 24166\n55931 83885\n45002 67431\n52523 78786\n67064 100000\n96720 100000\n69923 100000\n12036 18115\n19388 29066\n54004 81017\n67084 100000\n68931 100000\n72201 100000\n23090 34645\n63097 94683\n82711 100000\n59572 89379\n32341 48499\n90436 100000\n86046 100000\n40103 60096\n95996 100000\n39910 59800\n10387 15649\n58352 87544\n91081 100000\n51504 77263\n89333 100000\n29033 43529\n75286 100000\n76795 100000\n80650 100000\n40373 60500\n32384 48561\n32842 49255\n98559 100000\n65541 98313\n64242 96379\n87259 100000\n41593 62343\n18383 27548\n90744 100000\n90091 100000\n24768 37130\n3972 5962\n55769 83635\n66828 100000\n86050 100000\n99405 100000\n6730 10167\n15147 22732\n10535 15860\n6597 9967\n54760 82119\n75942 100000\n28241 42337\n63873 95833\n91362 100000\n49524 74278\n51447 77182\n54048 81085\n96277 100000\n17919 26875\n25171 37738\n9025 13581\n37250 55847\n62858 94309\n88108 100000\n56145 84202\n95610 100000\n97043 100000\n34312 51453\n20956 31417\n28401 42574\n20652 30974\n69216 100000\n82732 100000\n28518 42754\n41910 62819\n11928 17948\n6487 9798\n84752 100000\n91527 100000\n58366 87560\n23518 35283\n37567 56315\n81647 100000\n65497 98245\n28614 42894\n29899 44825\n16357 24553\n494 739\n71792 100000\n38581 57819\n34120 51166\n11263 16960\n75702 100000\n46315 69442\n23101 34660\n23646 35476\n8246 12408\n71166 100000\n88526 100000\n77351 100000\n31571 47331\n25222 37813\n51602 77416\n61296 91962\n40075 60053\n57956 86946\n75873 100000\n95473 100000\n68970 100000\n41395 62034\n48777 73153\n28604 42878\n51838 77762\n43591 65314\n85465 100000\n63473 95236\n41866 62752\n68207 100000\n27344 40984\n66436 99653\n92019 100000\n14924 22391\n68198 100000\n25832 38739\n82696 100000\n36049 54056\n79889 100000\n45887 68776\n54077 81131\n44779 67103\n807 1210\n58959 88442\n74769 100000\n85693 100000\n52610 78921\n13931 20916\n44628 66883\n46740 70090\n26866 40270\n72154 100000\n73180 100000\n72064 100000\n37698 56502\n24597 36871\n74430 100000\n67502 100000\n7815 11779\n96839 100000\n110 164\n60043 90090\n26289 39422\n62064 93110\n42930 64320\n71858 100000\n98777 100000\n50233 75337\n59905 89879\n34720 52081\n98280 100000\n51291 76958\n93644 100000\n57494 86254\n80314 100000\n66120 99180\n71943 100000\n32664 48991\n10744 16183\n18291 27408\n29432 44131\n59511 89284\n94691 100000\n43496 65170\n38882 58256\n92955 100000\n81365 100000\n97595 100000\n81697 100000\n1231 1852\n28418 42600\n14674 22023\n21509 32251\n26564 39826\n14372 21574\n34169 51243\n72779 100000\n98610 100000\n69998 100000\n36076 54096\n89018 100000\n38890 58270\n1019 1532\n37539 56272\n4024 6039\n22836 34266\n34969 52452\n87033 100000\n7543 11370\n24401 36585\n79291 100000\n98251 100000\n30624 45906\n50528 75786\n44747 67057\n23660 35498\n62699 94062\n11919 17934\n47016 70513\n53815 80732\n78642 100000\n32152 48212\n17220 25833\n81921 100000\n86148 100000\n83172 100000\n90034 100000\n31685 47503\n94151 100000\n75265 100000\n22304 33480\n11359 17101\n47382 71054\n72568 100000\n32813 49213\n38716 58008\n73484 100000\n69745 100000\n94699 100000\n49165 73725\n45745 68566\n33638 50449\n66439 99657\n17592 26393\n89183 100000\n82254 100000\n94096 100000\n44945 67346\n41770 62607\n59255 88892\n12597 18956\n97696 100000\n68387 100000\n47815 71712\n84929 100000\n15373 23078\n58355 87547\n83052 100000\n77510 100000\n44850 67209\n98015 100000\n37137 55683\n83707 100000\n2695 4050\n49457 74173\n70102 100000\n31994 47973\n26070 39094\n21255 31863\n33019 49531\n27145 40690\n67075 100000\n38660 57928\n78251 100000\n28779 43136\n70243 100000\n84061 100000\n28596 42866\n31486 47206\n40057 60025\n24791 37168\n80121 100000\n57902 86861\n75331 100000\n27728 41566\n66768 100000\n52999 79496\n17964 26934\n52843 79264\n94482 100000\n95957 100000\n8029 12094\n6593 9960\n91739 100000\n88224 100000\n85844 100000\n42380 63524\n93862 100000\n21547 32306\n2895 4349\n82809 100000\n2999 4507\n68886 100000\n17228 25844\n52131 78207\n8204 12350\n14998 22503\n19519 29265\n65333 97997\n38745 58047\n18496 27718\n30480 45687\n89057 100000\n24885 37310\n51242 76884\n51070 76626\n53963 80954\n46456 69660\n89058 100000\n29921 44859\n55137 82680\n11426 17202\n36083 54106\n41711 62519\n13175 19805\n60729 91108\n44462 66631\n20727 31080\n14345 21534\n10004 15072\n43675 65443\n68381 100000\n32626 48933\n60875 91328\n17823 26735\n71517 100000\n91262 100000\n98500 100000\n20512 30758\n5034 7588\n8155 12278\n74673 100000\n66242 99354\n80273 100000\n60189 90312\n36525 54781\n95194 100000\n82735 100000\n52688 79033\n56092 84118\n64007 96035\n64840 97265\n98569 100000\n5062 7634\n93210 100000\n41983 62932\n55138 82682\n35680 53505\n86283 100000\n76853 100000\n13113 19719\n92244 100000\n87907 100000\n73891 100000\n65384 98076\n32883 49319\n25820 38719\n11634 17512\n37636 56413\n84174 100000\n8053 12131\n54133 81208\n14633 21961\n11402 17166\n3859 5790\n14115 21184\n50900 76366\n10071 15174\n94808 100000\n68848 100000\n93974 100000\n2227 3339\n21327 31973\n25031 37533\n19119 28669\n99661 100000\n52447 78676\n72093 100000\n30442 45621\n82789 100000\n16319 24497\n80145 100000\n79295 100000\n52155 78242\n51023 76556\n2064 3093\n83355 100000\n34923 52379\n48145 72195\n63486 95255\n60180 90300\n29329 43972\n14786 22184\n57232 85859\n90438 100000\n72293 100000\n44409 66548\n89236 100000\n28771 43125\n55061 82561\n79367 100000\n71502 100000\n46985 70463\n94960 100000\n2678 4025\n9414 14162\n53314 79972\n48242 72347\n68237 100000\n78742 100000\n89234 100000\n80890 100000\n21675 32515\n3699 5552\n7919 11936\n17155 25739\n76231 100000\n85090 100000\n61165 91768\n87692 100000\n6252 9443\n26237 39347\n10445 15729\n38394 57539\n63636 95471\n78978 100000\n86186 100000\n64276 96431\n27813 41692\n41219 61777\n74593 100000\n83621 100000\n61357 92059\n77067 100000\n74656 100000\n67615 100000\n95080 100000\n85510 100000\n12254 18450\n17704 26559\n7599 11451\n20110 30161\n49797 74686\n62669 94020\n28560 42815\n27142 40685\n79615 100000\n64925 97397\n81667 100000\n60677 91030\n91852 100000\n86060 100000\n73083 100000\n66789 100000\n56622 84933\n48423 72614\n53141 79718\n74512 100000\n71138 100000\n84646 100000\n13198 19839\n47416 71104\n34465 51687\n6851 10345\n99688 100000\n74685 100000\n30669 45974\n15820 23734\n14425 21653\n78535 100000\n15675 23526\n9793 14737\n58530 87804\n208 308\n73464 100000\n46517 69750\n30082 45094\n86555 100000\n73120 100000\n24470 36687\n72395 100000\n45975 68918\n14114 21183\n67811 100000\n73667 100000\n23676 35520\n99514 100000\n58481 87726\n43021 64458\n79629 100000\n91283 100000\n14743 22123\n64844 97271\n2077 3114\n77830 100000\n6608 9982\n76682 100000\n92753 100000\n74447 100000\n44227 66267\n10621 15997\n5079 7659\n53496 80248\n63550 95346\n41708 62516\n19592 29378\n1803 2698\n69545 100000\n63143 94755\n58868 88299\n30546 45787\n72629 100000\n6713 10142\n4090 6139\n29858 44764\n3877 5818\n3160 4750\n86735 100000\n9058 13630\n45061 67521\n32351 48512\n25628 38427\n72698 100000\n53621 80446\n25020 37513\n37090 55611\n13690 20554\n14579 21882\n58245 87384\n86358 100000\n94689 100000\n28948 43395\n98617 100000\n4105 6164\n56521 84771\n76444 100000\n52564 78851\n18615 27896\n60707 91079\n25080 37605\n20581 30872\n90137 100000\n85999 100000\n87951 100000\n60560 90862\n18820 28213\n97602 100000\n33539 50302\n34685 52031\n69020 100000\n63221 94864\n59654 89503\n43171 64686\n91016 100000\n63081 94657\n65255 97884\n8936 13443\n17075 25619\n28622 42906\n92052 100000\n12825 19295\n32086 48117\n72435 100000\n54617 81910\n20247 30365\n27272 40877\n25435 38131\n42087 63084\n62120 93198\n73895 100000\n76534 100000\n83630 100000\n85324 100000\n10632 16014\n8604 12957\n31802 47683\n60168 90282\n99746 100000\n16086 24138\n45940 68861\n59862 89816\n18531 27771\n13227 19881\n21948 32937\n9968 15016\n48068 72085\n64179 96284\n96297 100000\n18003 26993\n24464 36679\n60037 90079\n95666 100000\n77150 100000\n7700 11607\n15208 22828\n50494 75734\n85039 100000\n82423 100000\n91098 100000\n22165 33271\n85340 100000\n99801 100000\n5866 8850\n9362 14082\n87079 100000\n70484 100000\n56795 85193\n37787 56633\n55539 83295\n34839 52255\n52731 79099\n25610 38398\n16090 24144\n14274 21419\n51492 77245\n7069 10660\n55848 83756\n26987 40449\n11082 16688\n82504 100000\n84256 100000\n17235 25854\n37162 55716\n75656 100000\n53919 80891\n23492 35248\n7253 10933\n81779 100000\n37313 55946\n88262 100000\n74539 100000\n81895 100000\n59472 89220\n31325 46961\n72891 100000\n45533 68232\n98599 100000\n63467 95225\n37478 56181\n85696 100000\n51753 77635\n93902 100000\n75380 100000\n2745 4124\n95802 100000\n1568 2359\n83987 100000\n97735 100000\n50825 76244\n11379 17133\n43618 65354\n1071 1607\n36523 54778\n2740 4116\n72569 100000\n35143 52702\n72165 100000\n47033 70537\n5974 9026\n81459 100000\n84976 100000\n51075 76632\n42525 63737\n49482 74211\n91100 100000\n26156 39231\n37326 55963\n12568 18915\n66073 99108\n84506 100000\n1551 2335\n6264 9458\n36046 54053\n54379 81573\n35405 53094\n34059 51078\n9946 14980\n24147 36213\n87070 100000\n44003 65931\n41699 62504\n41869 62757\n56442 84650\n21135 31686\n68639 100000\n53616 80437\n31931 47872\n24000 35996\n96337 100000\n24192 36281\n95710 100000\n59473 89221\n93491 100000\n2369 3562\n77642 100000\n35290 52924\n12975 19509\n73621 100000\n20752 31118\n94492 100000\n31569 47328\n54025 81050\n40120 60122\n70317 100000\n3355 5040\n69071 100000\n22150 33246\n8205 12351\n3593 5396\n65327 97987\n3359 5047\n83351 100000\n31083 46595\n87726 100000\n18590 27856\n33815 50712\n63303 94981\n81596 100000\n56965 85449\n39783 59611\n98587 100000\n72730 100000\n18506 27732\n67312 100000\n4342 6531\n3015 4532\n10201 15369\n11850 17828\n60223 90361\n96212 100000\n95828 100000\n21115 31657\n52744 79114\n22287 33457\n72868 100000\n65496 98244\n58431 87657\n11642 17522\n87930 100000\n32184 48262\n15726 23601\n33046 49573\n13985 20992\n41668 62456\n4683 7054\n96765 100000\n57351 86043\n23121 34690\n43910 65795\n61679 92533\n64915 97383\n7286 10983\n83417 100000\n28758 43110\n57999 87014\n50940 76426\n65423 98135\n42866 64224\n37722 56537\n44328 66424\n55898 83831\n23170 34761\n31597 47369\n74591 100000\n72558 100000\n37954 56880\n6397 9663\n66772 100000\n60489 90752\n74888 100000\n93078 100000\n21553 32314\n12866 19349\n61059 91606\n10272 15473\n92022 100000\n16006 24015\n72771 100000\n21003 31483\n57986 86993\n60285 90447\n54826 82214\n43829 65672\n31288 46904\n76493 100000\n88735 100000\n81048 100000\n82021 100000\n87232 100000\n95711 100000\n40808 61156\n40931 61343\n37497 56212\n23559 35340\n49131 73673\n665 990\n1382 2079\n71664 100000\n8885 13366\n13929 20913\n88532 100000\n63597 95413\n18052 27065\n60624 90952\n59133 88705\n26620 39908\n60252 90403\n16599 24904\n8865 13336\n68734 100000\n46062 69051\n35363 53032\n46835 70234\n9515 14312\n94351 100000\n48117 72152\n88228 100000\n93047 100000\n99515 100000\n65722 98579\n23310 34978\n28931 43374\n98540 100000\n51110 76686\n9057 13628\n94658 100000\n94502 100000\n23188 34788\n8463 12742\n97312 100000\n46920 70364\n58244 87382\n25142 37698\n61735 92622\n46957 70420\n74210 100000\n32095 48130\n29257 43864\n44553 66776\n93032 100000\n6420 9696\n28694 43014\n56298 84437\n5550 8371\n94301 100000\n60267 90424\n60138 90235\n2161 3241\n85878 100000\n62281 93432\n20895 31322\n82001 100000\n13365 20085\n43914 65802\n6148 9282\n58779 88171\n22879 34328\n88737 100000\n43246 64802\n88424 100000\n39877 59756\n19019 28517\n55121 82655\n31228 46811\n98840 100000\n88379 100000\n73171 100000\n81713 100000\n91069 100000\n62906 94384\n87004 100000\n8203 12348\n39648 59396\n49416 74111\n8352 12564\n71122 100000\n60135 90231\n37131 55672\n85004 100000\n46536 69781\n16061 24101\n19504 29241\n93537 100000\n70649 100000\n46028 68998\n55756 83614\n5224 7879\n75789 100000\n37031 55522\n32021 48020\n87103 100000\n87877 100000\n66215 99317\n34365 51538\n82599 100000\n82333 100000\n31753 47609\n51221 76855\n86839 100000\n22399 33618\n92306 100000\n82574 100000\n95604 100000\n93864 100000\n11233 16916\n87800 100000\n30524 45752\n86356 100000\n67455 100000\n41242 61809\n29677 44497\n63313 94996\n25829 38734\n68503 100000\n36092 54121\n53779 80682\n96705 100000\n26864 40267\n12448 18731\n61248 91891\n15366 23066\n61802 92717\n39221 58760\n82974 100000\n29800 44682\n65166 97756\n81860 100000\n45957 68885\n81141 100000\n98518 100000\n25937 38894\n57867 86808\n73591 100000\n85702 100000\n25630 38430\n24763 37123\n79495 100000\n50453 75671\n1448 2177\n47741 71599\n9260 13929\n57676 86526\n16758 25138\n66064 99095\n25531 38272\n22455 33710\n28988 43457\n38606 57857\n21621 32424\n85945 100000\n59271 88920\n73592 100000\n77822 100000\n8716 13120\n92139 100000\n14353 21546\n98223 100000\n22755 34141\n7764 11703\n8531 12849\n98531 100000\n10141 15281\n36498 54739\n43713 65496\n57314 85987\n6486 9796\n81990 100000\n38544 57763\n87012 100000\n38241 57308\n61772 92675\n95633 100000\n52797 79194\n84916 100000\n6795 10262\n93773 100000\n45705 68510\n27836 41731\n9537 14347\n36201 54283\n78949 100000\n31701 47529\n54569 81840\n79754 100000\n67580 100000\n28514 42749\n72008 100000\n19351 29014\n70578 100000\n69598 100000\n5000 7539\n9165 13789\n12104 18215\n22506 33773\n21764 32652\n666 992\n31811 47699\n99415 100000\n24090 36127\n73005 100000\n23567 35353\n67029 100000\n65503 98253\n78999 100000\n50945 76434\n39593 59316\n67302 100000\n23320 34992\n14287 21443\n66579 99871\n32903 49349\n1916 2865\n71193 100000\n97380 100000\n26703 40036\n86047 100000\n66739 100000\n48941 73397\n24906 37341\n3636 5459\n46621 69906\n41472 62155\n68793 100000\n84334 100000\n80107 100000\n2864 4302\n24390 36570\n24061 36086\n58991 88489\n86517 100000\n94964 100000\n96256 100000\n77968 100000\n38849 58205\n24468 36685\n53103 79662\n23950 35924\n33989 50974\n99821 100000\n74223 100000\n38366 57495\n81467 100000\n79622 100000\n17110 25668\n80820 100000\n72467 100000\n86495 100000\n28051 42065\n13805 20729\n75389 100000\n84536 100000\n24146 36211\n44766 67084\n5302 8003\n17005 25505\n66515 99773\n81941 100000\n29123 43659\n8908 13403\n12438 18717\n98790 100000\n48261 72377\n67024 100000\n3005 4516\n89841 100000\n84147 100000\n59120 88687\n28001 41988\n14830 22254\n2272 3411\n33105 49665\n3515 5281\n80785 100000\n26858 40258\n44012 65944\n56924 85386\n56630 84945\n8501 12800\n42092 63092\n47881 71810\n17670 26508\n18871 28287\n27094 40612\n15329 23007\n93282 100000\n55228 82811\n35397 53083\n11483 17288\n31473 47188\n18442 27633\n91013 100000\n26136 39202\n5358 8087\n11218 16892\n60920 91395\n9167 13792\n80658 100000\n45295 67876\n50998 76520\n26649 39953\n28494 42718\n96309 100000\n28330 42470\n12393 18650\n31248 46844\n44175 66192\n324 473\n4518 6792\n62210 93327\n22636 33964\n58159 87254\n79433 100000\n37515 56236\n13432 20185\n24700 37028\n49279 73900\n7575 11416\n81409 100000\n61038 91574\n98426 100000\n87547 100000\n28219 42304\n39411 59040\n54892 82311\n16786 25177\n2170 3253\n38747 58050\n43413 65048\n42228 63293\n85490 100000\n49763 74640\n31431 47124\n87880 100000\n44566 66795\n37448 56137\n69224 100000\n78622 100000\n37292 55917\n47986 71956\n9326 14029\n77624 100000\n55694 83523\n85055 100000\n78430 100000\n23758 35641\n53368 80045\n30370 45509\n22748 34129\n42981 64398\n61083 91643\n94250 100000\n70698 100000\n37492 56204\n90272 100000\n41462 62141\n85818 100000\n92445 100000\n28387 42553\n63918 95902\n26078 39110\n98984 100000\n71655 100000\n94497 100000\n81519 100000\n36385 54566\n98795 100000\n76069 100000\n86181 100000\n92884 100000\n97775 100000\n34196 51281\n80804 100000\n77392 100000\n39850 59714\n30727 46059\n71675 100000\n50584 75867\n4194 6300\n15915 23874\n12227 18407\n59635 89476\n97264 100000\n68781 100000\n70103 100000\n77299 100000\n86061 100000\n26151 39222\n57853 86787\n24695 37021\n3966 5952\n26008 39003\n79093 100000\n52056 78089\n92017 100000\n19065 28587\n51247 76891\n82174 100000\n47544 71305\n69527 100000\n42537 63752\n67963 100000\n95044 100000\n33636 50446\n74871 100000\n25799 38684\n44293 66371\n55043 82531\n97083 100000\n80288 100000\n29732 44582\n57176 85774\n43162 64671\n94303 100000\n97088 100000\n8312 12505\n8190 12331\n6065 9161\n29448 44154\n59189 88788\n25318 37955\n34899 52343\n33863 50787\n95549 100000\n35453 53164\n23533 35302\n9330 14035\n58238 87374\n20057 30083\n43871 65734\n55915 83859\n32066 48088\n49458 74174\n22391 33604\n87388 100000\n69094 100000\n38527 57740\n5029 7582\n34633 51950\n87756 100000\n19514 29257\n25692 38525\n74802 100000\n38378 57515\n87730 100000\n96307 100000\n21618 32418\n94385 100000\n58437 87668\n84633 100000\n12293 18504\n83199 100000\n31645 47444\n50750 76133\n11414 17185\n23865 35792\n41183 61721\n19948 29912\n45465 68128\n48680 73012\n83252 100000\n2996 4503\n20033 30044\n44536 66745\n35804 53689\n88938 100000\n30582 45845\n51115 76692\n47708 71552\n2098 3146\n27718 41552\n99865 100000\n99171 100000\n45802 68649\n66671 100000\n49528 74286\n56995 85497\n54763 82124\n89300 100000\n62432 93662\n24408 36596\n10219 15396\n9387 14117\n58871 88304\n78068 100000\n56388 84571\n87939 100000\n53238 79865\n19551 29315\n82831 100000\n49197 73775\n52728 79095\n28924 43363\n6479 9785\n54447 81662\n95853 100000\n98268 100000\n93917 100000\n29775 44647\n54306 81468\n33244 49863\n98173 100000\n6489 9801\n35754 53617\n58713 88073\n64515 96787\n74421 100000\n35584 53363\n39503 59178\n17675 26516\n23065 34608\n40747 61059\n83092 100000\n12310 18529\n15334 23014\n47785 71666\n22460 33715\n80485 100000\n58017 87041\n70837 100000\n1052 1580\n37468 56166\n94832 100000\n71295 100000\n31648 47448\n8621 12986\n97135 100000\n82049 100000\n28841 43237\n73477 100000\n41735 62559\n48444 72646\n9952 14990\n77237 100000\n45142 67647\n96571 100000\n92840 100000\n1424 2143\n79133 100000\n43129 64623\n61483 92244\n49364 74033\n86499 100000\n77740 100000\n30016 45002\n45476 68143\n98797 100000\n86236 100000\n33958 50922\n36106 54143\n62451 93689\n49070 73585\n355 519\n23271 34917\n28884 43304\n69959 100000\n2556 3842\n23133 34708\n83828 100000\n42830 64170\n82594 100000\n16298 24459\n84358 100000\n46656 69955\n60503 90776\n18221 27303\n681 1015\n72683 100000\n60559 90861\n92094 100000\n96446 100000\n15063 22599\n36075 54094\n60439 90678\n11606 17474\n24029 36038\n84951 100000\n72347 100000\n27372 41023\n6439 9726\n67859 100000\n5165 7794\n51391 77106\n97136 100000\n49847 74758\n77462 100000\n52838 79256\n17079 25625\n53131 79704\n76460 100000\n30075 45083\n85115 100000\n96129 100000\n49158 73714\n3192 4795\n47912 71851\n42365 63502\n94755 100000\n28044 42055\n14960 22445\n63201 94841\n70717 100000\n96181 100000\n37619 56389\n97499 100000\n24244 36355\n62241 93375\n41031 61503\n69110 100000\n85020 100000\n22007 33029\n88391 100000\n98476 100000\n66440 99658\n22841 34272\n31012 46492\n74566 100000\n21826 32749\n55321 82959\n31882 47804\n21627 32433\n40503 60688\n91798 100000\n26778 40143\n1365 2055\n54197 81300\n42024 62992\n33969 50938\n47466 71184\n5540 8357\n83702 100000\n48220 72312\n86039 100000\n99317 100000\n23612 35424\n32978 49465\n99151 100000\n16962 25440\n49730 74592\n22385 33595\n71322 100000\n77041 100000\n61018 91546\n32974 49460\n30607 45880\n97074 100000\n66547 99824\n82877 100000\n99712 100000\n39068 58527\n58617 87931\n29437 44137\n79727 100000\n84459 100000\n71921 100000\n74177 100000\n26885 40299\n25607 38394\n32190 48270\n77718 100000\n67941 100000\n76585 100000\n91379 100000\n82519 100000\n64899 97359\n56069 84086\n81190 100000\n61681 92536\n85687 100000\n43170 64685\n62295 93453\n68044 100000\n80091 100000\n15168 22759\n34911 52363\n90773 100000\n45687 68480\n77794 100000\n60676 91029\n734 1098\n43898 65776\n57912 86878\n34960 52438\n54487 81723\n28461 42664\n46119 69135\n97449 100000\n77781 100000\n82548 100000\n37488 56198\n18998 28485\n53489 80238\n63308 94987\n54053 81093\n90590 100000\n10041 15130\n69442 100000\n3431 5160\n94391 100000\n75534 100000\n16604 24912\n64243 96381\n14782 22178\n87962 100000\n34624 51936\n30248 45334\n4671 7034\n10132 15268\n91024 100000\n97695 100000\n24506 36740\n45717 68526\n42949 64349\n6328 9563\n20873 31290\n84643 100000\n5134 7743\n45118 67607\n21644 32462\n27369 41019\n61311 91985\n91523 100000\n77555 100000\n22766 34157\n7962 12001\n1441 2169\n53191 79796\n35043 52556\n25878 38804\n30536 45772\n44243 66293\n51932 77900\n84830 100000\n12661 19054\n20797 31180\n32454 48671\n54119 81190\n33653 50474\n70439 100000\n99313 100000\n56712 85063\n91572 100000\n88988 100000\n10573 15921\n80529 100000\n43647 65400\n60248 90399\n40022 59973\n79172 100000\n49296 73928\n52313 78475\n30289 45394\n16987 25481\n42106 63115\n93861 100000\n43578 65291\n93284 100000\n51780 77675\n57048 85579\n39560 59264\n15283 22937\n90472 100000\n93140 100000\n40941 61358\n71079 100000\n75732 100000\n11536 17365\n43526 65216\n82603 100000\n23856 35779\n95842 100000\n34294 51425\n50838 76267\n1176 1775\n47085 70607\n38246 57315\n13841 20780\n85416 100000\n51137 76727\n28501 42731\n35049 52564\n86103 100000\n11042 16632\n49984 74966\n87975 100000\n44116 66106\n89816 100000\n40127 60131\n41812 62667\n28827 43214\n9775 14710\n55348 83003\n2506 3763\n34971 52454\n42966 64376\n51737 77612\n55727 83571\n87459 100000\n89376 100000\n43669 65434\n14577 21878\n60132 90226\n8933 13439\n23226 34850\n53876 80826\n93386 100000\n25327 37967\n2990 4493\n18495 27717\n6105 9218\n84059 100000\n92225 100000\n99309 100000\n39131 58619\n3638 5463\n237 350\n4158 6245\n32700 49044\n35745 53605\n34556 51830\n44309 66394\n67718 100000\n94783 100000\n75123 100000\n49326 73974\n9999 15065\n33101 49659\n71735 100000\n28179 42244\n66060 99088\n8225 12379\n2866 4305\n23748 35628\n69141 100000\n80389 100000\n89430 100000\n36792 55179\n79824 100000\n66044 99064\n49223 73815\n17090 25640\n61864 92816\n27776 41636\n85226 100000\n2658 3992\n20009 30012\n66335 99502\n4588 6904\n90923 100000\n67195 100000\n53957 80945\n7553 11384\n3168 4761\n19947 29911\n80441 100000\n38571 57806\n27565 41323\n29184 43755\n56193 84281\n9528 14334\n5242 7908\n2946 4432\n50982 76495\n65832 98736\n87413 100000\n1181 1782\n96286 100000\n264 388\n729 1089\n6586 9948\n43654 65411\n10868 16368\n9437 14198\n42838 64184\n86897 100000\n28297 42419\n57060 85596\n15495 23251\n45514 68203\n82032 100000\n96459 100000\n38391 57534\n22927 34403\n55592 83371\n79790 100000\n89936 100000\n12205 18375\n69291 100000\n36995 55474\n9432 14189\n52622 78941\n74010 100000\n71250 100000\n47969 71933\n28421 42605\n64936 97413\n89492 100000\n15662 23509\n63714 95586\n16769 25151\n31579 47342\n71587 100000\n48576 72854\n41166 61698\n1563 2352\n1104 1660\n85371 100000\n52369 78559\n84803 100000\n43857 65713\n31821 47713\n75104 100000\n17161 25749\n21330 31978\n27521 41256\n81317 100000\n89904 100000\n58379 87580\n63861 95814\n69650 100000\n9841 14811\n50005 75001\n39749 59554\n25569 38332\n6331 9567\n68268 100000\n31518 47252\n63703 95569\n81696 100000\n27527 41266\n61401 92124\n80893 100000\n72394 100000\n13463 20226\n3110 4673\n49294 73925\n28918 43356\n50586 75871\n87504 100000\n32063 48084\n99960 100000\n84476 100000\n36223 54312\n88940 100000\n24001 35997\n53624 80451\n59152 88733\n49753 74624\n52432 78653\n65651 98476\n32573 48853\n78122 100000\n62922 94408\n32736 49100\n2325 3494\n98881 100000\n9768 14699\n80365 100000\n36003 53990\n37555 56296\n90003 100000\n13531 20320\n17923 26881\n93883 100000\n24167 36244\n92837 100000\n74515 100000\n20578 30867\n51814 77723\n55342 82992\n84879 100000\n60907 91378\n21490 32222\n59670 89528\n97646 100000\n32836 49246\n99342 100000\n70548 100000\n67539 100000\n70746 100000\n54344 81526\n89771 100000\n18369 27526\n13233 19889\n39766 59581\n94386 100000\n50030 75036\n1183 1785\n76369 100000\n24493 36723\n7368 11103\n87294 100000\n94243 100000\n49023 73519\n76320 100000\n57221 85840\n57678 86530\n63705 95572\n9702 14591\n36006 53995\n40372 60498\n13009 19558\n7499 11303\n60136 90232\n97320 100000\n46615 69896\n41820 62681\n39660 59416\n10563 15904\n54356 81541\n75012 100000\n23808 35712\n62160 93256\n7520 11332\n54142 81222\n46606 69883\n34568 51852\n83488 100000\n97757 100000\n63142 94753\n75945 100000\n27705 41533\n9645 14507\n69721 100000\n85050 100000\n68372 100000\n17845 26769\n97170 100000\n38441 57610\n88885 100000\n16034 24059\n88604 100000\n68944 100000\n21600 32387\n11217 16890\n6346 9590\n63932 95923\n12856 19334\n33711 50560\n74701 100000\n92521 100000\n73358 100000\n17861 26794\n55246 82843\n75620 100000\n25042 37550\n32646 48961\n87392 100000\n31724 47567\n15181 22782\n14594 21903\n11097 16713\n19077 28607\n84571 100000\n97547 100000\n89511 100000\n83652 100000\n91899 100000\n98538 100000\n1665 2503\n17663 26497\n56384 84563\n61835 92771\n29857 44763\n69392 100000\n78892 100000\n1955 2926\n10014 15086\n40932 61345\n45122 67613\n66852 100000\n59390 89101\n92195 100000\n77804 100000\n63079 94653\n28856 43263\n54049 81086\n35887 53816\n37976 56913\n19809 29701\n24851 37257\n82564 100000\n48868 73289\n78636 100000\n72288 100000\n88481 100000\n71871 100000\n72344 100000\n99193 100000\n33751 50619\n79597 100000\n80748 100000\n1752 2627\n73195 100000\n64366 96569\n53830 80754\n20991 31465\n51128 76712\n27002 40471\n64089 96153\n75860 100000\n33130 49701\n50805 76212\n48132 72175\n22305 33482\n94372 100000\n71315 100000\n51435 77165\n83036 100000\n66857 100000\n67626 100000\n46855 70268\n66452 99679\n42052 63031\n95696 100000\n13919 20899\n19516 29261\n6497 9812\n59005 88510\n48942 73398\n80432 100000\n246 360\n45754 68581\n87761 100000\n24520 36760\n59602 89425\n50415 75614\n65043 97572\n3770 5654\n45253 67811\n12612 18978\n99334 100000\n36411 54606\n1454 2188\n80326 100000\n98084 100000\n40090 60076\n16105 24164\n57425 86151\n25258 37866\n82203 100000\n760 1137\n99536 100000\n63218 94860\n13393 20124\n99988 100000\n67386 100000\n22209 33341\n29457 44165\n31637 47432\n74496 100000\n80380 100000\n98812 100000\n69607 100000\n80356 100000\n73239 100000\n54635 81932\n98109 100000\n86992 100000\n63767 95672\n72352 100000\n83510 100000\n6095 9204\n68823 100000\n46129 69149\n8292 12473\n48740 73099\n17828 26744\n33020 49532\n70908 100000\n14748 22131\n6449 9738\n32832 49242\n49305 73943\n58928 88391\n61026 91557\n77851 100000\n3810 5718\n23151 34734\n18329 27467\n59802 89728\n10536 15861\n62894 94365\n64800 97205\n19931 29888\n81164 100000\n47647 71461\n2495 3746\n80064 100000\n29118 43653\n48055 72063\n58402 87612\n37939 56855\n93244 100000\n29868 44776\n44972 67385\n53598 80411\n64376 96583\n76048 100000\n19508 29247\n19185 28770\n90460 100000\n98903 100000\n24286 36418\n50829 76252\n89662 100000\n34354 51521\n90201 100000\n57798 86705\n99756 100000\n16399 24614\n85827 100000\n40722 61019\n36160 54226\n36041 54047\n95051 100000\n97587 100000\n93 141\n60592 90906\n70457 100000\n5486 8275\n5381 8123\n61550 92351\n61217 91847\n17886 26832\n35093 52627\n70022 100000\n4275 6428\n40084 60068\n21615 32414\n65101 97658\n58895 88339\n26040 39053\n28433 42622\n16071 24116\n37611 56375\n93955 100000\n52347 78526\n79518 100000\n93022 100000\n35863 53780\n39265 58825\n60995 91510\n1289 1938\n57229 85853\n39570 59278\n12225 18403\n11497 17308\n66165 99246\n12907 19405\n93146 100000\n82587 100000\n50103 75141\n41482 62170\n89094 100000\n453 673\n26802 40176\n83797 100000\n12396 18654\n17197 25800\n79595 100000\n22733 34106\n42734 64031\n98214 100000\n87344 100000\n84034 100000\n64417 96643\n2129 3193\n4950 7465\n94424 100000\n6501 9819\n26310 39455\n23385 35086\n73790 100000\n97357 100000\n58539 87815\n91285 100000\n40458 60627\n34276 51398\n67511 100000\n55538 83293\n4398 6620\n96479 100000\n77181 100000\n67395 100000\n91569 100000\n81433 100000\n51779 77674\n79455 100000\n12461 18752\n95630 100000\n81292 100000\n70580 100000\n12463 18755\n47953 71913\n37736 56558\n98488 100000\n5037 7593\n56800 85199\n63724 95604\n6056 9148\n16077 24125\n93413 100000\n78360 100000\n87903 100000\n85187 100000\n79148 100000\n68744 100000\n80839 100000\n55760 83621\n60349 90543\n26712 40051\n26181 39264\n65973 98950\n17072 25616\n22032 33069\n36598 54890\n5072 7648\n37587 56344\n33519 50276\n94266 100000\n62651 93994\n83908 100000\n5715 8622\n52174 78269\n81146 100000\n19705 29550\n87647 100000\n45358 67970\n38771 58084\n8706 13106\n81349 100000\n78197 100000\n26979 40436\n56476 84704\n44023 65963\n33907 50844\n39738 59537\n39884 59765\n68492 100000\n72413 100000\n10480 15782\n21891 32850\n73333 100000\n6087 9192\n45544 68250\n55776 83646\n58168 87265\n40097 60087\n89356 100000\n40883 61270\n93431 100000\n19951 29918\n84875 100000\n33896 50831\n41209 61759\n16305 24472\n97441 100000\n38729 58024\n61596 92414\n4499 6769\n75523 100000\n95621 100000\n47442 71145\n12060 18155\n88045 100000\n59243 88877\n80426 100000\n6545 9887\n89849 100000\n55911 83853\n75581 100000\n72810 100000\n64565 96863\n13231 19886\n96706 100000\n60661 91007\n47028 70530\n62072 93123\n28180 42246\n77160 100000\n96981 100000\n60235 90379\n35996 53980\n68100 100000\n21589 32371\n68565 100000\n58152 87244\n57087 85637\n96835 100000\n64895 97353\n43922 65813\n34064 51086\n56720 85074\n37511 56231\n35277 52906\n61082 91641\n3983 5981\n32290 48424\n19613 29411\n83437 100000\n84595 100000\n49252 73858\n12258 18456\n74171 100000\n25831 38738\n24166 36242\n32466 48690\n21185 31763\n63318 95002\n38742 58042\n5868 8854\n92362 100000\n29244 43842\n84869 100000\n18203 27279\n39211 58745\n55667 83483\n74986 100000\n32744 49110\n36373 54547\n79886 100000\n92241 100000\n75096 100000\n58036 87070\n46666 69969\n43325 64923\n95565 100000\n81363 100000\n76971 100000\n52761 79137\n24121 36173\n59332 89012\n42682 63962\n55557 83320\n89152 100000\n18312 27443\n45976 68919\n84115 100000\n64035 96075\n30757 46107\n93471 100000\n38909 58299\n61781 92688\n66497 99747\n21688 32533\n58715 88076\n95826 100000\n78525 100000\n71119 100000\n73379 100000\n44474 66649\n22226 33368\n48993 73472\n91567 100000\n11910 17918\n56618 84927\n87631 100000\n56463 84684\n34364 51537\n80436 100000\n576 865\n79462 100000\n73371 100000\n94931 100000\n71446 100000\n22153 33251\n48258 72373\n32948 49418\n1655 2486\n21136 31688\n26527 39771\n65715 98570\n91063 100000\n86920 100000\n39352 58953\n97531 100000\n74650 100000\n10157 15304\n55722 83564\n2186 3276\n88534 100000\n22505 33772\n96878 100000\n8138 12252\n34187 51267\n59241 88873\n25663 38478\n28431 42619\n20148 30216\n33707 50553\n62228 93357\n78709 100000\n60834 91261\n81180 100000\n17747 26621\n96217 100000\n3535 5308\n10370 15621\n57068 85608\n81376 100000\n93241 100000\n46974 70443\n5457 8237\n67394 100000\n85061 100000\n46305 69429\n82419 100000\n79368 100000\n37449 56138\n44282 66355\n75719 100000\n88451 100000\n351 513\n29348 43999\n46692 70010\n70309 100000\n22030 33066\n33955 50917\n78472 100000\n33273 49906\n87689 100000\n34901 52346\n10467 15761\n30891 46313\n21149 31705\n65947 98910\n94686 100000\n74063 100000\n18274 27386\n61160 91761\n86273 100000\n10583 15937\n23926 35888\n771 1157\n79963 100000\n41549 62273\n38971 58391\n66974 100000\n23539 35311\n80708 100000\n53837 80767\n90153 100000\n56430 84632\n48712 73059\n70050 100000\n57907 86869\n38317 57424\n38491 57682\n44383 66504\n2286 3433\n46799 70181\n55294 82923\n30062 45064\n54702 82033\n76215 100000\n43040 64489\n8615 12977\n40465 60635\n52990 79481\n85329 100000\n49281 73904\n78259 100000\n45433 68080\n79422 100000\n3798 5698\n79865 100000\n71681 100000\n57771 86670\n3811 5719\n23501 35260\n23953 35930\n17088 25637\n72970 100000\n61208 91833\n30675 45983\n23514 35278\n21064 31580\n54009 81025\n22597 33908\n50958 76456\n57085 85635\n61455 92205\n26327 39478\n43403 65033\n90759 100000\n69284 100000\n33392 50084\n47501 71240\n91380 100000\n36002 53989\n59093 88645\n50996 76518\n56422 84621\n65781 98663\n47488 71219\n42689 63972\n79033 100000\n30780 46142\n99436 100000\n62565 93859\n31276 46886\n59325 89001\n17698 26550\n57013 85525\n38404 57555\n7876 11873\n68127 100000\n82591 100000\n65407 98113\n31333 46972\n89089 100000\n9138 13745\n50063 75083\n66408 99613\n36459 54678\n12445 18727\n14386 21596\n25183 37755\n81474 100000\n76294 100000\n25282 37901\n26036 39045\n14841 22270\n33264 49892\n47887 71818\n25529 38269\n27270 40875\n83579 100000\n27337 40973\n87410 100000\n5124 7728\n66811 100000\n11470 17271\n29975 44941\n67809 100000\n21813 32730\n58567 87859\n68493 100000\n10516 15832\n39625 59364\n63511 95290\n37128 55668\n55033 82517\n36334 54490\n36942 55398\n64020 96051\n53980 80978\n95959 100000\n42066 63053\n31692 47515\n49600 74401\n81947 100000\n76799 100000\n7883 11882\n75569 100000\n35052 52568\n23420 35133\n79520 100000\n23232 34860\n97734 100000\n16857 25279\n57809 86720\n11245 16936\n84473 100000\n90616 100000\n61496 92265\n2697 4052\n75229 100000\n62140 93229\n59421 89145\n71640 100000\n29810 44695\n5693 8587\n27214 40791\n45703 68506\n81919 100000\n19916 29867\n44233 66278\n92136 100000\n38535 57751\n2384 3580\n40984 61427\n98226 100000\n71259 100000\n31691 47513\n23262 34903\n52932 79395\n70077 100000\n96646 100000\n5907 8917\n22577 33880\n20462 30680\n40190 60228\n3917 5884\n58098 87165\n99243 100000\n12466 18761\n63970 95981\n98237 100000\n92964 100000\n88146 100000\n31050 46547\n14814 22230\n2392 3592\n50060 75079\n49083 73600\n30890 46311\n46216 69284\n92589 100000\n71161 100000\n19046 28561\n52121 78189\n57875 86818\n19093 28632\n14164 21256\n34105 51148\n98285 100000\n15255 22897\n16265 24407\n38536 57752\n15564 23362\n48359 72517\n78612 100000\n31117 46648\n27951 41903\n82531 100000\n26967 40419\n45680 68470\n52612 78925\n11939 17964\n52406 78615\n95046 100000\n60769 91161\n23645 35474\n69418 100000\n58798 88202\n47365 71028\n17388 26090\n75868 100000\n83976 100000\n11598 17462\n39135 58624\n28902 43332\n93654 100000\n5202 7849\n16037 24063\n2097 3144\n8239 12398\n28746 43090\n92736 100000\n53390 80079\n62628 93960\n16197 24304\n27821 41706\n84444 100000\n54117 81187\n89066 100000\n13400 20136\n65458 98189\n15615 23438\n91373 100000\n64105 96179\n41639 62414\n69382 100000\n2107 3160\n58085 87144\n69600 100000\n76704 100000\n20846 31250\n75599 100000\n51678 77531\n86619 100000\n10791 16253\n33827 50732\n92486 100000\n54456 81677\n96494 100000\n94158 100000\n94028 100000\n18411 27591\n43814 65646\n81390 100000\n14733 22105\n96989 100000\n91031 100000\n56381 84559\n91509 100000\n24784 37155\n64322 96501\n86420 100000\n63783 95695\n15267 22915\n37150 55703\n77381 100000\n82832 100000\n66247 99361\n32980 49467\n94467 100000\n31831 47728\n86079 100000\n41138 61659\n25568 38330\n9587 14420\n99632 100000\n41954 62886\n33228 49842\n29408 44094\n79078 100000\n58292 87456\n42334 63454\n64817 97230\n75549 100000\n98553 100000\n76978 100000\n42917 64302\n79065 100000\n77108 100000\n64698 97066\n27758 41610\n13662 20513\n9026 13583\n2557 3844\n74038 100000\n22235 33382\n63043 94598\n98519 100000\n5206 7854\n95607 100000\n98257 100000\n44843 67195\n50235 75340\n85938 100000\n32328 48481\n52125 78197\n66203 99298\n7226 10891\n98725 100000\n38293 57387\n11547 17384\n24007 36007\n71938 100000\n21047 31555\n84926 100000\n15932 23900\n38578 57814\n47336 70988\n41022 61488\n21399 32086\n43074 64541\n87580 100000\n13165 19791\n24099 36140\n4644 6989\n97539 100000\n4570 6875\n44132 66129\n21073 31591\n66014 99017\n12261 18460\n61542 92338\n8767 13194\n35240 52852\n24156 36228\n95296 100000\n97513 100000\n52814 79219\n53566 80359\n23309 34977\n99264 100000\n92319 100000\n61140 91733\n41281 61866\n35139 52694\n43552 65257\n99203 100000\n61223 91857\n99542 100000\n41110 61622\n65996 98988\n89118 100000\n93298 100000\n65248 97875\n12275 18479\n45412 68051\n39403 59030\n23312 34980\n35984 53962\n83162 100000\n90485 100000\n87484 100000\n58583 87879\n48564 72836\n61307 91978\n65792 98680\n49251 73857\n85543 100000\n72298 100000\n74870 100000\n26414 39612\n52955 79427\n39341 58935\n16916 25366\n6013 9082\n59034 88552\n51124 76706\n82015 100000\n47 71\n34402 51594\n71763 100000\n4525 6803\n14456 21702\n95221 100000\n14935 22406\n57189 85793\n12089 18194\n47756 71623\n25732 38585\n49891 74824\n75616 100000\n89852 100000\n39168 58678\n43665 65427\n87828 100000\n860 1292\n83576 100000\n71918 100000\n80788 100000\n97050 100000\n79841 100000\n45658 68435\n52868 79299\n74466 100000\n4929 7433\n82431 100000\n12072 18173\n25898 38834\n52223 78342\n34374 51553\n28363 42517\n60535 90824\n59108 88669\n15542 23326\n47443 71146\n77623 100000\n64849 97279\n82434 100000\n94585 100000\n91026 100000\n27652 41454\n98030 100000\n97429 100000\n45259 67819\n93056 100000\n75717 100000\n71533 100000\n26939 40380\n78138 100000\n11964 18005\n51294 76962\n75848 100000\n52598 78903\n78167 100000\n38739 58038\n39199 58726\n36392 54576\n37956 56882\n17984 26962\n96633 100000\n64391 96604\n46468 69676\n1230 1850\n24676 36994\n59891 89859\n23350 35037\n54587 81865\n48048 72053\n3064 4606\n68686 100000\n40328 60429\n87089 100000\n6315 9542\n40500 60684\n45102 67584\n79296 100000\n86151 100000\n19521 29268\n46478 69691\n12639 19017\n27864 41775\n16160 24246\n50552 75820\n38956 58366\n61957 92950\n8346 12556\n51601 77414\n94475 100000\n5258 7933\n50202 75296\n80184 100000\n56804 85205\n58224 87352\n66903 100000\n62688 94048\n81332 100000\n125 187\n26316 39465\n39201 58729\n10507 15820\n71803 100000\n29036 43534\n44897 67277\n52358 78541\n47874 71799\n21824 32745\n50023 75024\n95426 100000\n94855 100000\n81862 100000\n32401 48589\n64881 97329\n9131 13734\n27725 41562\n80798 100000\n71706 100000\n29230 43824\n73259 100000\n25461 38170\n4341 6529\n12708 19127\n46789 70167\n60803 91208\n33716 50567\n68541 100000\n36862 55282\n91765 100000\n42447 63627\n86530 100000\n87150 100000\n43189 64715\n28550 42800\n16098 24154\n50847 76279\n59605 89430\n39479 59141\n9580 14409\n74818 100000\n22833 34261\n66989 100000\n9497 14286\n20301 30445\n67527 100000\n856 1286\n83937 100000\n60319 90500\n38101 57094\n18068 27087\n73908 100000\n94821 100000\n95652 100000\n29120 43656\n7672 11564\n51818 77730\n93681 100000\n84764 100000\n70112 100000\n86681 100000\n20310 30454\n95475 100000\n95476 100000\n91046 100000\n71407 100000\n22262 33419\n77170 100000\n51182 76792\n10206 15376\n33363 50038\n10484 15788\n86587 100000\n15231 22863\n60418 90644\n26796 40168\n41353 61970\n98986 100000\n94289 100000\n93273 100000\n64099 96170\n34799 52198\n4919 7416\n79760 100000\n44444 66603\n82684 100000\n37568 56317\n47607 71397\n10990 16551\n3546 5322\n21699 32551\n6124 9246\n52743 79113\n98114 100000\n28722 43057\n32642 48956\n34258 51371\n89696 100000\n47227 70818\n14474 21724\n44468 66639\n89946 100000\n23037 34565\n94023 100000\n17041 25567\n79390 100000\n38767 58079\n19731 29590\n84232 100000\n77298 100000\n50794 76196\n72045 100000\n26736 40081\n87440 100000\n99402 100000\n8723 13128\n39719 59509\n23590 35393\n86435 100000\n56277 84402\n45233 67782\n52292 78446\n96374 100000\n3023 4545\n85888 100000\n66339 99509\n91290 100000\n41410 62058\n92035 100000\n46083 69083\n15312 22979\n17431 26148\n30661 45960\n35713 53550\n91988 100000\n44036 65982\n24127 36182\n31619 47406\n29946 44898\n51813 77721\n42869 64227\n74291 100000\n53869 80816\n23297 34957\n72995 100000\n35126 52673\n51140 76730\n42 64\n39387 59007\n35983 53961\n25562 38319\n56443 84652\n70463 100000\n40676 60948\n16748 25125\n95408 100000\n60572 90881\n68023 100000\n21770 32663\n77435 100000\n90691 100000\n78732 100000\n23079 34629\n68343 100000\n35434 53139\n63435 95177\n71487 100000\n53438 80158\n49000 73484\n72628 100000\n59885 89850\n87143 100000\n17748 26622\n12481 18783\n67973 100000\n3574 5368\n28600 42872\n70947 100000\n19471 29192\n68277 100000\n40795 61136\n30126 45159\n12827 19298\n36052 54060\n5111 7710\n74234 100000\n24810 37196\n99099 100000\n98757 100000\n44382 66502\n54032 81059\n82714 100000\n64315 96491\n72866 100000\n90915 100000\n71856 100000\n43850 65704\n20025 30034\n4892 7374\n86087 100000\n95804 100000\n48221 72314\n15242 22878\n3260 4897\n50597 75888\n91936 100000\n34435 51641\n79171 100000\n61987 92997\n85449 100000\n11874 17865\n69377 100000\n51185 76798\n41843 62714\n35475 53199\n22981 34486\n34138 51193\n89041 100000\n13789 20700\n11905 17910\n33417 50122\n94795 100000\n72274 100000\n58455 87691\n60424 90655\n49370 74043\n59453 89193\n8705 13105\n33635 50445\n56163 84231\n65127 97699\n84896 100000\n29308 43940\n9137 13744\n29037 43535\n93761 100000\n71298 100000\n20787 31165\n37014 55501\n55779 83650\n6288 9498\n51903 77856\n29307 43938\n29113 43644\n89856 100000\n90369 100000\n23277 34925\n83335 100000\n83241 100000\n93791 100000\n79799 100000\n42374 63516\n4604 6927\n28900 43329\n94653 100000\n69220 100000\n56655 84983\n10428 15704\n44163 66175\n26045 39060\n73170 100000\n45566 68281\n69934 100000\n71680 100000\n20296 30439\n59110 88672\n14566 21859\n44694 66979\n14424 21651\n76944 100000\n5172 7805\n92912 100000\n12953 19473\n91914 100000\n79049 100000\n59879 89840\n92043 100000\n38557 57783\n57403 86122\n88132 100000\n61583 92397\n15289 22948\n19691 29526\n56812 85216\n30315 45430\n32514 48766\n95715 100000\n9221 13868\n23016 34535\n40797 61139\n85520 100000\n26430 39634\n1423 2141\n90621 100000\n92848 100000\n27312 40935\n57378 86085\n23738 35615\n94680 100000\n88559 100000\n35194 52783\n64406 96627\n40332 60436\n24689 37013\n97910 100000\n46643 69937\n15607 23427\n71027 100000\n3739 5611\n45277 67847\n6401 9670\n21272 31891\n30525 45754\n97705 100000\n31244 46837\n9284 13967\n31415 47101\n53916 80887\n82515 100000\n55028 82510\n53464 80201\n15157 22744\n98721 100000\n27781 41641\n18361 27515\n60915 91387\n60422 90651\n34262 51378\n48513 72756\n14317 21490\n55098 82619\n93162 100000\n31764 47623\n70952 100000\n77539 100000\n49709 74564\n10333 15566\n4220 6340\n29485 44207\n66049 99070\n15143 22725\n65980 98963\n40952 61376\n54160 81245\n74322 100000\n84209 100000\n46406 69584\n92428 100000\n20779 31156\n45809 68658\n58782 88175\n16202 24313\n16660 24997\n94010 100000\n31313 46944\n3035 4563\n91157 100000\n56489 84723\n62313 93481\n69590 100000\n49579 74367\n95546 100000\n77243 100000\n26913 40340\n82137 100000\n59425 89150\n43588 65310\n37792 56643\n93982 100000\n18486 27704\n45645 68411\n85675 100000\n94469 100000\n36319 54469\n84528 100000\n65012 97526\n55136 82678\n33301 49946\n28901 43331\n89205 100000\n65611 98418\n66677 100000\n21121 31667\n50879 76332\n95684 100000\n91494 100000\n39252 58804\n35677 53501\n60701 91070\n29454 44160\n80471 100000\n93763 100000\n62557 93845\n83940 100000\n12594 18953\n46507 69734\n86094 100000\n68714 100000\n92499 100000\n64779 97176\n46099 69105\n44507 66698\n66618 99929\n82915 100000\n75178 100000\n52665 78999\n59060 88596\n78678 100000\n19052 28568\n62586 93892\n42214 63273\n13958 20953\n7196 10846\n1777 2663\n72237 100000\n96279 100000\n62838 94281\n91383 100000\n22635 33963\n4046 6073\n59999 90026\n35554 53317\n95820 100000\n48843 73248\n59428 89154\n56612 84919\n50568 75845\n92084 100000\n26011 39008\n18533 27775\n54593 81874\n87115 100000\n17520 26284\n29273 43890\n66024 99033\n79892 100000\n90297 100000\n72097 100000\n40960 61389\n41015 61478\n52715 79076\n33554 50324\n25687 38516\n69195 100000\n90077 100000\n85349 100000\n55661 83473\n11230 16911\n60190 90313\n77835 100000\n53592 80402\n45763 68592\n51122 76703\n89590 100000\n69896 100000\n96650 100000\n98492 100000\n70874 100000\n96628 100000\n54869 82280\n3533 5306\n11334 17062\n97662 100000\n45346 67950\n98098 100000\n76070 100000\n98079 100000\n33988 50972\n68670 100000\n53428 80143\n79360 100000\n47597 71381\n36837 55247\n19767 29641\n31393 47063\n87810 100000\n91396 100000\n52346 78525\n72225 100000\n147 222\n49012 73501\n47341 70994\n87690 100000\n91280 100000\n48856 73268\n72354 100000\n95057 100000\n54132 81207\n95261 100000\n41649 62430\n99472 100000\n54890 82309\n14043 21077\n43421 65061\n99433 100000\n47911 71850\n85585 100000\n32324 48475\n52547 78826\n59480 89231\n41857 62736\n89973 100000\n51334 77024\n89715 100000\n87632 100000\n2060 3086\n57846 86778\n6516 9845\n10860 16358\n90653 100000\n10980 16537\n65873 98796\n78756 100000\n81624 100000\n43903 65784\n99541 100000\n16720 25085\n89444 100000\n34744 52116\n41607 62366\n78007 100000\n87917 100000\n62345 93532\n23519 35284\n55199 82768\n56882 85325\n70219 100000\n40720 61016\n65859 98776\n82495 100000\n32028 48029\n34213 51308\n42636 63899\n4437 6679\n84084 100000\n53683 80537\n65874 98798\n40479 60654\n74240 100000\n31732 47579\n22988 34496\n33283 49922\n57583 86387\n83810 100000\n42163 63200\n72214 100000\n56844 85265\n85749 100000\n43452 65107\n86334 100000\n98080 100000\n11728 17648\n16925 25379\n9823 14783\n55388 83066\n9255 13921\n44588 66828\n11710 17621\n92224 100000\n63583 95392\n46996 70481\n58936 88405\n50889 76347\n26331 39484\n89709 100000\n91549 100000\n55990 83970\n83265 100000\n95558 100000\n21651 32473\n22891 34349\n11077 16681\n26950 40394\n97954 100000\n17219 25832\n44900 67281\n69083 100000\n32544 48814\n45415 68055\n4900 7386\n27294 40909\n29591 44366\n38212 57264\n90255 100000\n85873 100000\n12024 18098\n87549 100000\n21915 32887\n72542 100000\n25617 38409\n61404 92130\n58011 87032\n86306 100000\n85808 100000\n68775 100000\n95161 100000\n19234 28838\n68425 100000\n93406 100000\n55980 83955\n61579 92391\n11073 16675\n43385 65007\n39014 58449\n84077 100000\n53093 79646\n92121 100000\n42598 63842\n66368 99552\n24353 36514\n8516 12825\n29049 43552\n45498 68175\n58677 88022\n67415 100000\n75295 100000\n48010 71994\n3820 5733\n15444 23177\n65485 98229\n58116 87192\n42977 64392\n70395 100000\n16798 25195\n38393 57537\n36372 54545\n56646 84968\n12798 19259\n42497 63696\n14163 21254\n38763 58073\n72875 100000\n9417 14166\n60016 90050\n8080 12170\n74018 100000\n63436 95178\n80098 100000\n43622 65359\n90916 100000\n21160 31724\n83060 100000\n7025 10595\n43886 65759\n52886 79327\n6011 9080\n28428 42616\n36913 55356\n63771 95678\n30181 45233\n18646 27948\n17362 26048\n28006 41996\n80841 100000\n20118 30173\n11605 17473\n76630 100000\n12783 19233\n64413 96637\n86791 100000\n9714 14611\n83186 100000\n22081 33137\n99982 100000\n48742 73102\n53831 80756\n83798 100000\n53016 79524\n25360 38016\n81760 100000\n40744 61054\n21533 32286\n61073 91629\n80921 100000\n7598 11450\n24079 36114\n2163 3244\n16158 24244\n66124 99188\n96793 100000\n60203 90334\n28238 42332\n51960 77940\n11119 16743\n14686 22040\n34749 52124\n96819 100000\n94418 100000\n1307 1967\n36731 55087\n60173 90289\n38087 57075\n17472 26214\n17077 25622\n87476 100000\n87155 100000\n89894 100000\n63758 95658\n53230 79852\n77158 100000\n55493 83225\n44291 66368\n33476 50217\n54319 81487\n98948 100000\n47702 71544\n16543 24823\n22410 33638\n97916 100000\n79903 100000\n76402 100000\n22942 34424\n81528 100000\n73628 100000\n9842 14812\n96880 100000\n40208 60251\n51919 77882\n89050 100000\n86812 100000\n24776 37143\n19989 29980\n70159 100000\n16721 25086\n52710 79068\n94545 100000\n77681 100000\n46029 68999\n20515 30763\n25448 38149\n60454 90701\n28488 42709\n54135 81211\n33858 50779\n37164 55718\n22607 33921\n67068 100000\n75393 100000\n75582 100000\n20553 30824\n34602 51901\n12785 19236\n36116 54161\n94563 100000\n12882 19372\n13883 20847\n91925 100000\n8997 13537\n33851 50769\n43315 64910\n26737 40082\n11742 17669\n19964 29938\n42924 64312\n35559 53325\n19333 28987\n18685 28011\n92762 100000\n74668 100000\n5106 7701\n90568 100000\n20486 30717\n16509 24776\n20457 30671\n76448 100000\n75811 100000\n17281 25926\n77472 100000\n59178 88770\n84263 100000\n90318 100000\n76750 100000\n89250 100000\n85691 100000\n4066 6101\n60474 90730\n53290 79939\n91705 100000\n30150 45193\n41014 61476\n10918 16442\n76253 100000\n27885 41806\n10797 16262\n70265 100000\n52092 78144\n12467 18762\n14756 22144\n7878 11875\n6448 9736\n3536 5309\n9445 14209\n37602 56362\n6115 9234\n415 612\n91060 100000\n1350 2033\n68790 100000\n61260 91908\n97642 100000\n94211 100000\n8567 12904\n22868 34312\n84543 100000\n48890 73321\n47334 70985\n84484 100000\n75926 100000\n54603 81890\n53968 80961\n98522 100000\n98073 100000\n3606 5416\n34906 52355\n33165 49753\n13878 20839\n56367 84537\n77942 100000\n82811 100000\n88718 100000\n72885 100000\n7605 11461\n76359 100000\n55923 83871\n93071 100000\n72653 100000\n80124 100000\n26311 39457\n48595 72883\n89060 100000\n58242 87380\n40198 60237\n163 245\n39241 58791\n33599 50392\n87163 100000\n95953 100000\n60224 90363\n33218 49828\n19715 29565\n90898 100000\n82743 100000\n51293 76961\n58051 87093\n12098 18207\n6647 10040\n26387 39568\n52792 79185\n30603 45875\n51102 76673\n88652 100000\n14808 22221\n97716 100000\n41892 62794\n15076 22620\n62481 93735\n59248 88882\n35398 53085\n93419 100000\n88213 100000\n63908 95887\n57831 86753\n30259 45350\n98157 100000\n66623 99937\n52818 79224\n30031 45026\n15802 23708\n92718 100000\n6811 10285\n77832 100000\n16855 25276\n5104 7698\n52444 78671\n35213 52810\n20879 31300\n71076 100000\n41276 61859\n48787 73169\n28593 42861\n82769 100000\n86582 100000\n7502 11306\n16295 24454\n74976 100000\n65299 97946\n37074 55589\n32966 49446\n46476 69688\n34975 52460\n52394 78595\n65893 98827\n29495 44224\n73710 100000\n74721 100000\n5695 8590\n63195 94834\n18924 28367\n13769 20670\n5347 8071\n6873 10380\n52862 79290\n37231 55816\n22875 34322\n60800 91204\n71865 100000\n31668 47478\n30407 45563\n53129 79700\n83523 100000\n18038 27046\n79247 100000\n1383 2081\n45065 67527\n9511 14306\n40207 60250\n59294 88954\n97947 100000\n40579 60805\n10081 15188\n55192 82756\n54697 82026\n35450 53160\n99119 100000\n96371 100000\n65725 98585\n97820 100000\n45270 67835\n97777 100000\n21319 31959\n8111 12215\n64121 96202\n26303 39444\n7414 11172\n1255 1889\n93474 100000\n45636 68398\n64721 97099\n23360 35053\n34489 51725\n80183 100000\n35571 53343\n53189 79793\n45455 68114\n35753 53616\n20542 30806\n80221 100000\n31700 47527\n74793 100000\n98460 100000\n96893 100000\n14776 22169\n79252 100000\n3284 4938\n88585 100000\n34752 52127\n83182 100000\n90076 100000\n33092 49645\n75773 100000\n74768 100000\n13861 20811\n15426 23152\n73643 100000\n64916 97384\n52110 78172\n67701 100000\n28378 42538\n51980 77971\n53866 80810\n1302 1958\n37886 56780\n29248 43849\n70084 100000\n34372 51549\n94442 100000\n90765 100000\n84123 100000\n13636 20473\n82004 100000\n43221 64765\n97100 100000\n63120 94718\n10185 15347\n17635 26454\n40986 61430\n83954 100000\n47408 71094\n5641 8509\n47835 71741\n97536 100000\n31031 46519\n61229 91865\n84381 100000\n10273 15474\n23637 35463\n67741 100000\n42293 63392\n70091 100000\n81157 100000\n27223 40803\n84749 100000\n80590 100000\n67910 100000\n32597 48890\n48799 73185\n21430 32135\n36055 54064\n97379 100000\n93935 100000\n83889 100000\n21146 31700\n7776 11722\n95199 100000\n52156 78244\n97092 100000\n48987 73465\n8390 12629\n46941 70395\n31844 47747\n14519 21791\n81560 100000\n67575 100000\n25123 37674\n35552 53313\n22171 33279\n39346 58944\n91973 100000\n41783 62627\n31689 47510\n15330 23008\n74823 100000\n35868 53790\n56508 84748\n51454 77191\n54443 81656\n35418 53116\n37951 56875\n5724 8634\n94762 100000\n23586 35386\n75567 100000\n7953 11987\n35853 53765\n81057 100000\n72416 100000\n63073 94645\n541 812\n52842 79263\n53125 79695\n42438 63610\n54091 81149\n70879 100000\n72447 100000\n30941 46391\n30889 46309\n50082 75110\n15576 23379\n28583 42845\n4320 6498\n31296 46917\n53231 79853\n59216 88833\n52937 79402\n51393 77108\n14091 21144\n68353 100000\n42105 63114\n29754 44616\n73409 100000\n29874 44786\n97958 100000\n3517 5283\n70400 100000\n98910 100000\n42216 63277\n30886 46306\n37036 55531\n80196 100000\n39919 59817\n53529 80298\n48174 72241\n96229 100000\n32151 48211\n28855 43262\n12315 18535\n70409 100000\n73638 100000\n44869 67237\n79167 100000\n85033 100000\n74009 100000\n38295 57391\n78689 100000\n23378 35076\n62617 93941\n72145 100000\n1244 1871\n14064 21110\n57081 85629\n77415 100000\n90796 100000\n20908 31342\n16485 24741\n41928 62846\n17784 26678\n42650 63919\n2630 3951\n78987 100000\n58903 88350\n3256 4892\n80929 100000\n92335 100000\n16138 24211\n24089 36126\n21486 32217\n20178 30266\n16428 24656\n61279 91935\n15205 22823\n50527 75784\n59707 89583\n35145 52705\n80700 100000\n69726 100000\n70897 100000\n20401 30589\n88282 100000\n50891 76350\n75808 100000\n52831 79243\n42305 63410\n1130 1703\n30813 46196\n63349 95045\n97438 100000\n11020 16598\n84519 100000\n38314 57419\n60393 90606\n11859 17841\n88189 100000\n27323 40950\n13536 20326\n46237 69319\n72994 100000\n87779 100000\n14978 22473\n6243 9430\n61439 92181\n75543 100000\n39990 59928\n64278 96435\n13992 21002\n91737 100000\n51480 77226\n1152 1739\n49664 74495\n92836 100000\n72503 100000\n60662 91008\n9130 13733\n8038 12106\n53959 80948\n58820 88231\n14557 21848\n76755 100000\n39639 59382\n73268 100000\n50114 75157\n83292 100000\n98419 100000\n85310 100000\n83978 100000\n26378 39555\n76456 100000\n691 1030\n85068 100000\n96621 100000\n77630 100000\n78656 100000\n57735 86615\n42544 63762\n2389 3586\n98338 100000\n97901 100000\n1160 1751\n94968 100000\n9193 13829\n15834 23754\n67728 100000\n59075 88616\n3387 5089\n9794 14739\n21849 32783\n82478 100000\n97002 100000\n89940 100000\n36359 54525\n85381 100000\n93278 100000\n33843 50758\n28280 42397\n27461 41158\n44088 66065\n62569 93866\n22716 34082\n51366 77070\n17098 25652\n7667 11557\n80343 100000\n10951 16494\n10020 15095\n33692 50532\n95799 100000\n21922 32898\n94087 100000\n54566 81834\n31617 47402\n26759 40115\n837 1257\n57789 86694\n82168 100000\n16586 24887\n28274 42388\n57498 86259\n12541 18874\n49692 74540\n42564 63792\n27283 40892\n83312 100000\n47833 71739\n27385 41043\n76031 100000\n42231 63297\n16974 25459\n98275 100000\n85535 100000\n14148 21231\n65756 98630\n93005 100000\n93946 100000\n1855 2777\n19901 29844\n64108 96183\n32707 49054\n60582 90894\n33842 50757\n19141 28703\n37355 56005\n84779 100000\n87659 100000\n71914 100000\n75695 100000\n75141 100000\n38520 57731\n26876 40287\n2276 3416\n36528 54785\n32164 48231\n19120 28671\n37287 55909\n82404 100000\n39761 59573\n29236 43831\n86099 100000\n30950 46402\n74886 100000\n87727 100000\n29173 43737\n42479 63672\n7156 10789\n18458 27659\n42984 64402\n513 766\n44041 65989\n40697 60981\n73984 100000\n33673 50505\n66783 100000\n42523 63734\n65949 98913\n14628 21954\n3695 5546\n43396 65022\n58727 88096\n55337 82986\n90895 100000\n91021 100000\n86501 100000\n44530 66737\n22788 34192\n50445 75658\n46383 69552\n43749 65551\n79332 100000\n84527 100000\n17578 26375\n96296 100000\n25593 38371\n70909 100000\n79382 100000\n236 348\n72646 100000\n21889 32847\n65374 98059\n57474 86226\n47720 71569\n35785 53662\n6711 10138\n61058 91605\n28845 43244\n34393 51582\n783 1175\n86241 100000\n39633 59373\n61877 92835\n14220 21338\n88215 100000\n27657 41461\n37346 55993\n48524 72773\n96666 100000\n15606 23425\n35446 53155\n69421 100000\n3004 4514\n73998 100000\n16392 24605\n37307 55938\n86022 100000\n14277 21425\n58502 87759\n88470 100000\n52589 78889\n49052 73562\n81477 100000\n49147 73699\n79529 100000\n33307 49955\n62033 93063\n210 311\n13654 20499\n96796 100000\n75241 100000\n45504 68185\n32362 48528\n20698 31035\n97898 100000\n17662 26495\n37732 56550\n20229 30341\n94051 100000\n12512 18831\n74504 100000\n8260 12428\n84930 100000\n93580 100000\n13713 20591\n55536 83290\n96244 100000\n5859 8836\n52439 78664\n20479 30705\n54253 81386\n83771 100000\n68536 100000\n89768 100000\n86325 100000\n97475 100000\n65306 97956\n14959 22443\n35286 52919\n1822 2727\n4795 7222\n1155 1744\n95923 100000\n53643 80477\n30065 45068\n8599 12951\n98086 100000\n25277 37893\n40708 60998\n93328 100000\n73423 100000\n52494 78740\n80643 100000\n13173 19802\n79619 100000\n2450 3678\n79801 100000\n26926 40360\n43093 64568\n24025 36031\n1587 2384\n19033 28538\n65092 97643\n39677 59443\n72858 100000\n35006 52503\n46492 69712\n51763 77650\n83377 100000\n14964 22451\n88151 100000\n66090 99138\n1699 2553\n55641 83446\n4196 6303\n34123 51170\n98186 100000\n43800 65627\n36365 54535\n84760 100000\n79770 100000\n75925 100000\n41151 61678\n26691 40018\n86604 100000\n15291 22950\n7453 11234\n72303 100000\n69815 100000\n68818 100000\n79836 100000\n81631 100000\n49357 74023\n33938 50891\n23708 35566\n16415 24637\n7190 10838\n62128 93209\n7465 11250\n22980 34485\n45511 68197\n28508 42740\n23822 35727\n70898 100000\n22621 33941\n55422 83118\n81772 100000\n78860 100000\n31057 46558\n57960 86951\n41502 62203\n41327 61930\n27923 41860\n22563 33859\n21859 32801\n88566 100000\n78052 100000\n83251 100000\n14186 21288\n55895 83827\n78444 100000\n13591 20406\n59517 89294\n96551 100000\n63208 94849\n42151 63184\n56901 85353\n5010 7554\n76278 100000\n55456 83170\n59858 89811\n55552 83313\n86668 100000\n24998 37479\n15466 23209\n55162 82718\n68191 100000\n90330 100000\n78420 100000\n56129 84175\n28860 43269\n25344 37991\n38233 57293\n80597 100000\n86926 100000\n83915 100000\n99640 100000\n54468 81694\n29478 44198\n66405 99609\n73942 100000\n95962 100000\n54704 82035\n69965 100000\n35933 53883\n22079 33135\n40123 60126\n72722 100000\n37045 55546\n1823 2728\n71013 100000\n22753 34138\n69713 100000\n10439 15721\n48508 72749\n63368 95076\n47917 71859\n17142 25719\n67117 100000\n41976 62921\n52023 78040\n97169 100000\n41006 61463\n71544 100000\n20199 30298\n89988 100000\n44812 67148\n86294 100000\n57728 86607\n19602 29391\n10688 16096\n36254 54363\n16804 25202\n25452 38154\n7912 11927\n58462 87700\n32575 48856\n85006 100000\n16151 24231\n59204 88812\n70235 100000\n23867 35796\n61920 92900\n11126 16754\n94406 100000\n41852 62727\n97518 100000\n50465 75688\n14993 22493\n49248 73853\n15745 23625\n2739 4115\n74440 100000\n13860 20809\n86788 100000\n95127 100000\n53631 80462\n83390 100000\n76439 100000\n34197 51282\n56458 84676\n76880 100000\n23639 35465\n94060 100000\n70809 100000\n25200 37782\n30594 45861\n42615 63868\n6083 9187\n41431 62093\n76798 100000\n54694 82022\n54690 82014\n88130 100000\n38786 58110\n64341 96531\n64878 97325\n45428 68073\n71365 100000\n72415 100000\n4312 6484\n18960 28425\n84420 100000\n88464 100000\n16672 25016\n1706 2564\n15193 22801\n14751 22136\n51714 77583\n30263 45355\n9995 15059\n48283 72406\n81393 100000\n37322 55957\n84817 100000\n61741 92630\n5919 8936\n33071 49612\n97310 100000\n74448 100000\n62372 93574\n92980 100000\n98806 100000\n38879 58252\n11798 17745\n3705 5562\n80394 100000\n47101 70627\n61475 92232\n20146 30214\n10970 16521\n18481 27695\n83320 100000\n88654 100000\n13768 20669\n20678 31008\n91674 100000\n67619 100000\n89305 100000\n68573 100000\n56039 84042\n86581 100000\n63826 95760\n58614 87925\n20597 30897\n68444 100000\n49545 74314\n30213 45281\n16496 24757\n25129 37681\n60318 90498\n72499 100000\n97740 100000\n36868 55289\n81082 100000\n93240 100000\n26080 39114\n4584 6898\n74341 100000\n23331 35010\n65837 98744\n12808 19273\n47308 70942\n27897 41824\n65734 98598\n14116 21185\n4794 7221\n77239 100000\n51300 76969\n35147 52709\n74445 100000\n61256 91901\n65636 98456\n35342 52998\n45279 67849\n82131 100000\n79545 100000\n33632 50440\n11288 16997\n50601 75895\n17830 26746\n76792 100000\n92878 100000\n78712 100000\n25882 38810\n50619 75921\n21812 32728\n23949 35922\n8127 12237\n7168 10805\n85131 100000\n9674 14551\n23139 34717\n3823 5737\n4199 6307\n25480 38197\n47961 71924\n2917 4385\n23852 35772\n24421 36616\n25165 37731\n63529 95315\n70423 100000\n35358 53024\n31265 46870\n87748 100000\n84280 100000\n50320 75468\n81107 100000\n14431 21661\n67756 100000\n43627 65366\n71099 100000\n25769 38641\n50599 75892\n36479 54708\n93466 100000\n3792 5689\n8228 12383\n50297 75434\n75359 100000\n82900 100000\n17271 25910\n32773 49152\n31060 46564\n11565 17410\n51715 77585\n41569 62306\n78120 100000\n74873 100000\n50396 75586\n50260 75377\n38099 57092\n72552 100000\n24138 36199\n70571 100000\n16825 25233\n13828 20763\n13464 20227\n8888 13371\n70960 100000\n3850 5776\n76858 100000\n32884 49320\n18967 28437\n79062 100000\n92583 100000\n61878 92837\n14668 22014\n98463 100000\n35632 53436\n32577 48859\n86379 100000\n58184 87290\n97624 100000\n3621 5437\n64933 97409\n82417 100000\n78118 100000\n396 583\n94302 100000\n40730 61031\n2166 3248\n95144 100000\n17024 25538\n37825 56689\n36746 55108\n1122 1689\n70568 100000\n38572 57807\n43119 64612\n11140 16773\n12288 18498\n71759 100000\n23325 35002\n68928 100000\n54360 81547\n51133 76721\n9349 14062\n89879 100000\n82381 100000\n84303 100000\n68074 100000\n10658 16051\n95100 100000\n12324 18550\n91496 100000\n29515 44256\n34497 51737\n17341 26020\n25841 38751\n6765 10217\n81791 100000\n16510 24778\n12016 18083\n64389 96600\n12806 19271\n90267 100000\n45410 68049\n4350 6543\n82040 100000\n39109 58587\n45064 67526\n88372 100000\n61809 92728\n52912 79367\n22188 33307\n30144 45184\n33978 50956\n71490 100000\n65449 98174\n69407 100000\n68919 100000\n96629 100000\n14925 22392\n21100 31632\n35375 53054\n6270 9468\n75563 100000\n75327 100000\n89345 100000\n9707 14600\n20133 30194\n79991 100000\n77449 100000\n73397 100000\n68409 100000\n81325 100000\n99885 100000\n72531 100000\n93354 100000\n91452 100000\n12603 18965\n29523 44269\n69477 100000\n68557 100000\n2544 3825\n26807 40184\n39141 58632\n6798 10266\n10036 15121\n84828 100000\n38907 58296\n6151 9286\n85067 100000\n65161 97749\n88117 100000\n65554 98329\n53694 80556\n81766 100000\n63733 95618\n11957 17996\n73815 100000\n55451 83163\n40671 60941\n16425 24653\n34599 51896\n53006 79506\n2119 3179\n82662 100000\n3095 4651\n81166 100000\n26946 40390\n76544 100000\n20191 30286\n16067 24110\n85394 100000\n12290 18500\n82533 100000\n12343 18579\n86549 100000\n36849 55263\n16150 24230\n15056 22588\n11541 17375\n25442 38141\n41184 61722\n61413 92142\n69317 100000\n52696 79047\n43226 64773\n43193 64720\n40025 59977\n50566 75842\n88753 100000\n9639 14500\n33792 50678\n40284 60368\n6303 9523\n94934 100000\n66142 99213\n80821 100000\n61177 91787\n49659 74486\n92487 100000\n86469 100000\n43747 65548\n94693 100000\n59397 89110\n61006 91528\n72404 100000\n31331 46969\n61697 92562\n33029 49545\n51887 77834\n90311 100000\n58301 87470\n90872 100000\n43769 65580\n92337 100000\n81537 100000\n86657 100000\n90225 100000\n58433 87660\n90180 100000\n42384 63530\n79568 100000\n18903 28337\n21580 32354\n63832 95769\n88690 100000\n72385 100000\n72172 100000\n46053 69037\n82560 100000\n35300 52937\n31676 47489\n60373 90576\n32464 48688\n68974 100000\n94077 100000\n36463 54685\n45058 67516\n12311 18530\n55168 82726\n30997 46468\n75357 100000\n98734 100000\n61371 92079\n35150 52714\n23144 34724\n81043 100000\n61391 92108\n10645 16033\n67145 100000\n59365 89064\n86290 100000\n5011 7555\n74075 100000\n91926 100000\n91528 100000\n45106 67589\n36429 54634\n52841 79261\n10730 16164\n62129 93210\n13011 19561\n92340 100000\n61388 92102\n94647 100000\n85266 100000\n25174 37742\n44647 66909\n96894 100000\n50856 76293\n85607 100000\n72535 100000\n17203 25808\n67917 100000\n18602 27875\n29466 44180\n36229 54321\n44159 66168\n65242 97865\n90513 100000\n52422 78639\n10365 15613\n72945 100000\n93335 100000\n66430 99643\n74225 100000\n87038 100000\n95344 100000\n78537 100000\n24380 36555\n32325 48476\n74732 100000\n27253 40849\n52483 78726\n13821 20751\n7263 10949\n79278 100000\n49781 74665\n51442 77175\n87198 100000\n60042 90088\n85528 100000\n97108 100000\n45503 68183\n59537 89324\n11393 17154\n98700 100000\n60723 91100\n39501 59174\n12662 19056\n91941 100000\n90139 100000\n38095 57086\n33879 50806\n23579 35374\n1136 1714\n10170 15324\n14495 21755\n26513 39748\n80043 100000\n16449 24688\n19807 29699\n6336 9574\n39435 59075\n45231 67780\n8313 12506\n79628 100000\n33230 49844\n74252 100000\n16685 25034\n44769 67088\n81894 100000\n2966 4457\n1935 2892\n24685 37007\n42515 63723\n18651 27956\n98689 100000\n51770 77662\n78581 100000\n78630 100000\n66434 99649\n63649 95491\n74365 100000\n57131 85708\n83617 100000\n67834 100000\n69630 100000\n95980 100000\n41613 62375\n78213 100000\n74432 100000\n89171 100000\n52286 78436\n45793 68638\n58582 87878\n44936 67333\n9342 14050\n8757 13177\n72853 100000\n93254 100000\n8645 13018\n62009 93030\n89303 100000\n30390 45538\n46392 69563\n82325 100000\n65674 98511\n45783 68624\n3957 5939\n78919 100000\n14994 22495\n40155 60174\n86472 100000\n69924 100000\n29734 44585\n50178 75257\n69262 100000\n63557 95356\n19624 29427\n27059 40559\n62637 93975\n70351 100000\n3296 4956\n69013 100000\n26097 39142\n56766 85147\n13846 20789\n14489 21745\n19785 29666\n2394 3595\n54435 81648\n95869 100000\n68307 100000\n50381 75562\n189 281\n93154 100000\n62098 93163\n92239 100000\n10455 15743\n7487 11285\n46126 69146\n66726 100000\n91624 100000\n1260 1896\n7334 11053\n20004 30005\n49215 73802\n73193 100000\n26069 39093\n45084 67558\n7851 11834\n92691 100000\n32896 49339\n99055 100000\n98270 100000\n53571 80369\n60512 90790\n6654 10050\n76297 100000\n7905 11916\n11192 16853\n10328 15558\n79123 100000\n19891 29828\n67928 100000\n16697 25053\n84665 100000\n79641 100000\n58510 87772\n69397 100000\n84024 100000\n61299 91966\n23142 34721\n54678 81999\n15219 22846\n31188 46752\n93975 100000\n98838 100000\n12304 18519\n40540 60746\n68566 100000\n17213 25823\n51957 77936\n69719 100000\n37927 56840\n43201 64732\n95811 100000\n59399 89113\n92607 100000\n58653 87987\n51344 77041\n24787 37160\n93527 100000\n57656 86496\n35074 52599\n64596 96908\n76274 100000\n52983 79471\n23934 35902\n47554 71320\n60133 90228\n79951 100000\n91416 100000\n13051 19626\n99190 100000\n11287 16996\n14807 22219\n49397 74083\n39658 59413\n57019 85534\n36979 55454\n61347 92043\n94643 100000\n67178 100000\n7952 11986\n70397 100000\n49428 74129\n3800 5701\n55926 83877\n96290 100000\n51611 77429\n52637 78960\n69313 100000\n6133 9259\n58164 87261\n7640 11513\n99185 100000\n11143 16778\n71077 100000\n11816 17772\n69908 100000\n34328 51477\n60536 90825\n29278 43898\n60511 90788\n17478 26223\n88509 100000\n88550 100000\n34327 51475\n20550 30819\n30986 46452\n88779 100000\n94006 100000\n96673 100000\n47482 71209\n16414 24636\n24351 36511\n80192 100000\n40360 60481\n11766 17701\n62443 93678\n82037 100000\n46368 69529\n60520 90802\n24169 36247\n80387 100000\n65467 98201\n54611 81902\n32919 49370\n53448 80175\n1408 2120\n18454 27652\n69334 100000\n32442 48653\n49282 73905\n87329 100000\n54409 81611\n32267 48385\n52918 79376\n68219 100000\n29664 44476\n84711 100000\n17470 26212\n65537 98306\n61889 92852\n92510 100000\n69524 100000\n52211 78326\n89279 100000\n8098 12199\n4939 7449\n77424 100000\n42189 63237\n80027 100000\n72833 100000\n7223 10885\n520 776\n90636 100000\n18418 27600\n96107 100000\n86184 100000\n67098 100000\n37277 55892\n20376 30550\n9109 13702\n79838 100000\n64595 96906\n96391 100000\n1807 2704\n82331 100000\n78006 100000\n51281 76943\n52787 79176\n173 257\n22777 34174\n78465 100000\n69756 100000\n48626 72934\n41451 62123\n82135 100000\n58063 87111\n17262 25896\n26124 39183\n46793 70173\n66805 100000\n88068 100000\n55300 82932\n98695 100000\n78684 100000\n47403 71087\n32356 48518\n51961 77942\n11832 17799\n22004 33024\n66062 99092\n84551 100000\n64010 96038\n82053 100000\n5901 8910\n46501 69725\n92648 100000\n56652 84979\n8295 12477\n10646 16034\n69958 100000\n3460 5206\n13293 19976\n82483 100000\n92994 100000\n58788 88187\n16366 24566\n25423 38114\n91052 100000\n86919 100000\n84541 100000\n3845 5770\n15990 23989\n54881 82297\n67300 100000\n63173 94801\n34579 51869\n63042 94596\n63707 95575\n87740 100000\n32752 49122\n78532 100000\n7728 11652\n35310 52950\n46121 69138\n20694 31030\n86477 100000\n47569 71340\n68743 100000\n17554 26336\n89395 100000\n87177 100000\n80218 100000\n60552 90852\n83471 100000\n24293 36427\n64363 96565\n86062 100000\n7404 11158\n85065 100000\n92311 100000\n63611 95434\n5850 8822\n63586 95395\n20820 31210\n70141 100000\n13138 19750\n15087 22638\n49771 74654\n7833 11808\n10234 15419\n89161 100000\n8887 13369\n21150 31706\n96223 100000\n25741 38599\n27538 41280\n97356 100000\n38305 57405\n42890 64258\n33429 50143\n79509 100000\n48516 72759\n62395 93607\n92016 100000\n22459 33714\n18543 27790\n98269 100000\n64128 96213\n66929 100000\n83006 100000\n34595 51891\n29570 44335\n50354 75518\n50607 75901\n17185 25782\n63839 95780\n17254 25885\n4847 7304\n94296 100000\n77619 100000\n72381 100000\n26731 40074\n68652 100000\n4123 6191\n5613 8465\n86095 100000\n48958 73423\n62712 94082\n68783 100000\n79504 100000\n27977 41949\n63110 94704\n73342 100000\n22011 33035\n33831 50738\n43412 65046\n43733 65527\n81120 100000\n87091 100000\n61367 92073\n49673 74510\n74295 100000\n90599 100000\n6369 9627\n36117 54163\n29859 44765\n17385 26084\n68689 100000\n43951 65855\n14074 21121\n57782 86686\n84799 100000\n14044 21078\n34217 51314\n67172 100000\n41778 62619\n75282 100000\n58012 87033\n99527 100000\n39563 59269\n25184 37757\n91552 100000\n95867 100000\n23011 34529\n30085 45099\n25511 38243\n64369 96573\n40857 61228\n84239 100000\n32377 48552\n25053 37566\n11559 17401\n33227 49841\n83832 100000\n64401 96618\n75041 100000\n64972 97468\n65382 98073\n1451 2183\n54054 81094\n92296 100000\n38469 57650\n52021 78037\n98660 100000\n76837 100000\n6382 9643\n6469 9767\n7197 10847\n80308 100000\n2367 3558\n58811 88218\n23591 35395\n49081 73597\n16178 24276\n37224 55806\n96904 100000\n87085 100000\n4343 6532\n9819 14778\n93792 100000\n29650 44454\n10812 16287\n32489 48726\n20087 30128\n14048 21084\n14368 21567\n73250 100000\n75350 100000\n66412 99618\n83344 100000\n24137 36198\n33475 50216\n79372 100000\n67810 100000\n45321 67913\n20368 30539\n75164 100000\n260 382\n47988 71958\n86310 100000\n40248 60312\n15339 23024\n74806 100000\n75490 100000\n60755 91143\n84457 100000\n93778 100000\n91351 100000\n99826 100000\n31047 46542\n31090 46606\n91178 100000\n65125 97697\n24522 36763\n29210 43791\n64768 97163\n18942 28393\n23495 35251\n64407 96628\n8804 13248\n38700 57985\n49507 74251\n88592 100000\n29252 43856\n78203 100000\n6692 10109\n97795 100000\n37498 56213\n21737 32606\n87261 100000\n77866 100000\n82046 100000\n1831 2743\n25501 38229\n17240 25862\n89493 100000\n75258 100000\n71007 100000\n66879 100000\n1406 2116\n50013 75011\n31826 47720\n61944 92931\n55739 83588\n46557 69813\n34887 52324\n77763 100000\n18040 27050\n33479 50222\n64461 96709\n53730 80608\n85700 100000\n63753 95650\n70292 100000\n910 1365\n29755 44617\n68707 100000\n95027 100000\n39616 59351\n71314 100000\n1169 1764\n30046 45044\n56979 85472\n46502 69726\n5571 8406\n70593 100000\n23868 35797\n83231 100000\n60812 91223\n8527 12841\n13817 20747\n82304 100000\n81119 100000\n68911 100000\n57470 86221\n95920 100000\n6099 9209\n18396 27569\n68031 100000\n93158 100000\n85118 100000\n36645 54959\n58414 87631\n70652 100000\n88605 100000\n60519 90800\n26357 39524\n71182 100000\n26025 39028\n26268 39394\n41288 61875\n64434 96670\n54975 82430\n32936 49398\n56661 84991\n79849 100000\n58049 87090\n57199 85809\n18142 27193\n93372 100000\n79814 100000\n28336 42479\n99592 100000\n94224 100000\n5647 8516\n84611 100000\n13279 19956\n71258 100000\n44270 66336\n22955 34445\n70945 100000\n68048 100000\n63730 95613\n41804 62655\n40966 61401\n5627 8486\n86743 100000\n16952 25425\n13459 20221\n36574 54854\n69952 100000\n71551 100000\n74168 100000\n57548 86337\n22317 33499\n44456 66623\n61100 91670\n36135 54188\n47155 70709\n20448 30656\n31590 47359\n11527 17352\n25917 38865\n3901 5857\n17659 26491\n51153 76749\n54232 81355\n25473 38186\n20965 31428\n82052 100000\n2021 3025\n39669 59433\n7793 11747\n44844 67197\n13514 20293\n35392 53078\n96221 100000\n26832 40220\n23649 35480\n16873 25303\n1610 2416\n10056 15152\n85101 100000\n27157 40708\n4331 6516\n13956 20951\n51544 77325\n19732 29591\n30146 45187\n66128 99193\n36745 55107\n35978 53954\n65146 97727\n41927 62844\n21078 31599\n19835 29739\n81572 100000\n31628 47419\n68820 100000\n34044 51058\n59721 89606\n31654 47457\n20399 30586\n96832 100000\n67498 100000\n60186 90308\n33239 49856\n5742 8657\n12077 18178\n67724 100000\n3062 4602\n38177 57211\n40485 60661\n66508 99764\n51983 77976\n57225 85847\n69077 100000\n4296 6460\n60864 91311\n96105 100000\n76932 100000\n42061 63045\n7806 11768\n14939 22412\n90763 100000\n77190 100000\n3225 4846\n97358 100000\n5711 8616\n23691 35541\n87706 100000\n52660 78993\n35072 52596\n15724 23598\n51755 77638\n49429 74131\n78971 100000\n91073 100000\n43887 65760\n78010 100000\n19175 28754\n52952 79423\n83055 100000\n12930 19436\n38140 57154\n14827 22250\n77141 100000\n36922 55369\n31970 47937\n43514 65198\n10118 15247\n97020 100000\n61288 91950\n80786 100000\n63817 95747\n95896 100000\n27579 41343\n89665 100000\n87865 100000\n61314 91989\n1536 2313\n1034 1553\n94046 100000\n45131 67629\n90392 100000\n52182 78280\n53367 80044\n59529 89311\n88844 100000\n92093 100000\n29122 43658\n3127 4701\n58089 87150\n15532 23310\n59485 89240\n39806 59645\n28324 42461\n84675 100000\n57379 86087\n69882 100000\n23212 34827\n89906 100000\n96211 100000\n14667 22013\n4124 6193\n41122 61640\n96783 100000\n80963 100000\n83446 100000\n63728 95610\n84981 100000\n7628 11495\n68706 100000\n11021 16599\n32208 48296\n7418 11178\n6106 9220\n84152 100000\n92742 100000\n85595 100000\n11693 17595\n83701 100000\n30681 45992\n67412 100000\n98438 100000\n52698 79050\n12961 19485\n15082 22630\n92252 100000\n80640 100000\n4489 6755\n36932 55385\n47175 70742\n61696 92560\n95947 100000\n42098 63101\n14006 21023\n48540 72798\n88721 100000\n2026 3032\n26718 40058\n26144 39213\n90933 100000\n81094 100000\n41364 61988\n89346 100000\n58732 88103\n98071 100000\n2546 3828\n34010 51004\n56400 84587\n82701 100000\n72369 100000\n69085 100000\n2235 3352\n17834 26752\n72295 100000\n2968 4460\n96188 100000\n17674 26514\n59809 89739\n55092 82609\n60861 91306\n34897 52340\n39305 58880\n91003 100000\n30177 45229\n59462 89204\n97790 100000\n17633 26451\n40523 60720\n30379 45520\n73569 100000\n40270 60346\n17735 26602\n85763 100000\n47543 71304\n4758 7169\n86345 100000\n76218 100000\n2215 3321\n49064 73579\n97352 100000\n48682 73015\n35001 52497\n90778 100000\n48203 72286\n54392 81590\n42127 63146\n90043 100000\n42076 63067\n61174 91783\n35649 53459\n75044 100000\n4874 7347\n1921 2873\n68638 100000\n22758 34146\n77354 100000\n25652 38461\n58509 87770\n21253 31861\n4287 6447\n98060 100000\n78134 100000\n11898 17900\n87624 100000\n31144 46685\n62249 93386\n48234 72335\n56255 84367\n18659 27969\n67899 100000\n77314 100000\n40136 60147\n59901 89873\n56629 84943\n72166 100000\n50179 75258\n34977 52462\n34501 51743\n381 557\n13486 20255\n23392 35097\n73382 100000\n25322 37961\n5009 7552\n38758 58065\n7165 10802\n79758 100000\n16953 25427\n71802 100000\n13347 20058\n71045 100000\n44660 66930\n69665 100000\n83097 100000\n58365 87559\n57572 86370\n82661 100000\n75976 100000\n41488 62181\n46718 70053\n58818 88229\n36183 54258\n64191 96303\n1274 1914\n27528 41267\n72767 100000\n78763 100000\n39480 59142\n1621 2434\n61424 92157\n84464 100000\n55490 83222\n69175 100000\n32080 48109\n82356 100000\n97959 100000\n38828 58172\n50823 76241\n79664 100000\n78592 100000\n42541 63758\n3561 5345\n6167 9312\n58622 87940\n34547 51817\n37192 55760\n25088 37618\n63813 95743\n21723 32586\n69661 100000\n49719 74576\n36433 54638\n29802 44685\n10117 15245\n6430 9711\n30454 45643\n41142 61666\n38655 57920\n38248 57318\n15432 23161\n84775 100000\n7639 11512\n71977 100000\n74961 100000\n17634 26453\n89628 100000\n73868 100000\n41925 62842\n38938 58340\n39474 59134\n98771 100000\n62328 93505\n40703 60990\n13843 20784\n16014 24028\n70236 100000\n25765 38634\n48451 72658\n57240 85871\n35510 53252\n96303 100000\n23504 35263\n74376 100000\n24462 36677\n97783 100000\n15354 23048\n56015 84006\n34416 51616\n60143 90244\n55647 83455\n68279 100000\n32252 48363\n2663 4000\n76546 100000\n90830 100000\n85575 100000\n17435 26154\n28408 42584\n58993 88492\n27154 40704\n67330 100000\n92734 100000\n21037 31537\n23137 34714\n97825 100000\n6437 9722\n53886 80838\n81721 100000\n82742 100000\n59003 88508\n65891 98823\n55197 82765\n16049 24082\n43718 65503\n29860 44766\n33880 50808\n86748 100000\n67872 100000\n98247 100000\n74552 100000\n56134 84183\n7943 11973\n62369 93570\n11356 17098\n5689 8580\n98301 100000\n44204 66236\n12350 18589\n36726 55079\n55021 82499\n63216 94858\n33671 50502\n70682 100000\n82072 100000\n87702 100000\n63284 94953\n16369 24570\n16246 24380\n89035 100000\n30914 46348\n53002 79500\n6362 9614\n55320 82957\n59733 89626\n31251 46849\n75877 100000\n44389 66514\n52283 78432\n40911 61316\n86729 100000\n42002 62960\n59555 89353\n64235 96369\n30824 46213\n33543 50307\n20612 30917\n43536 65234\n64996 97505\n38926 58322\n33079 49624\n10616 15989\n50704 76055\n66394 99592\n19681 29510\n46795 70175\n32780 49165\n97185 100000\n84660 100000\n84983 100000\n65218 97831\n94058 100000\n5364 8096\n72586 100000\n476 711\n34039 51049\n78579 100000\n58044 87082\n4690 7065\n31236 46824\n78439 100000\n31698 47523\n66745 100000\n10166 15318\n2606 3912\n76241 100000\n48459 72669\n9891 14889\n77194 100000\n92176 100000\n63389 95108\n16611 24923\n68995 100000\n16555 24841\n62707 94074\n96109 100000\n31993 47972\n38337 57451\n69582 100000\n27788 41652\n64704 97073\n34757 52135\n31111 46638\n56686 85026\n62764 94159\n97554 100000\n72219 100000\n84243 100000\n40841 61205\n38292 57386\n47285 70908\n22744 34123\n72907 100000\n91987 100000\n94127 100000\n79124 100000\n70264 100000\n7235 10906\n57118 85687\n1868 2796\n69156 100000\n72871 100000\n41066 61557\n74317 100000\n24764 37124\n23616 35431\n83930 100000\n10212 15385\n50693 76038\n253 371\n55891 83822\n59591 89408\n73646 100000\n91004 100000\n63996 96019\n67537 100000\n21671 32507\n59072 88612\n3364 5055\n33523 50281\n31640 47436\n88103 100000\n93605 100000\n89799 100000\n25275 37890\n68752 100000\n45089 67564\n869 1305\n86302 100000\n8307 12499\n2932 4411\n28041 42052\n20044 30062\n2480 3720\n71348 100000\n29895 44819\n13669 20523\n30593 45860\n14092 21146\n64837 97261\n38630 57890\n52054 78087\n88218 100000\n92237 100000\n57612 86432\n36036 54038\n81408 100000\n47045 70552\n66790 100000\n56411 84605\n50168 75241\n52099 78154\n79283 100000\n85908 100000\n33216 49826\n12102 18213\n81468 100000\n11590 17452\n80357 100000\n15601 23417\n37831 56700\n81735 100000\n46021 68987\n95510 100000\n73709 100000\n49509 74254\n98276 100000\n80509 100000\n90565 100000\n85978 100000\n94063 100000\n78257 100000\n91797 100000\n92547 100000\n22554 33847\n98864 100000\n77034 100000\n47909 71848\n71461 100000\n10382 15641\n7757 11694\n36088 54115\n62999 94531\n63653 95496\n5867 8852\n79802 100000\n46372 69533\n70566 100000\n46086 69087\n87304 100000\n22754 34140\n13588 20402\n83512 100000\n69940 100000\n41924 62840\n57997 87011\n86229 100000\n91324 100000\n46215 69282\n69309 100000\n89688 100000\n50464 75687\n43659 65418\n57711 86582\n97309 100000\n62556 93844\n24967 37432\n69005 100000\n25246 37847\n69985 100000\n88514 100000\n71123 100000\n24410 36599\n60567 90874\n31308 46938\n70322 100000\n707 1051\n51309 76982\n12326 18553\n86948 100000\n95757 100000\n826 1241\n68830 100000\n61970 92972\n44278 66349\n30311 45426\n66651 99982\n29695 44524\n24149 36215\n17430 26147\n90148 100000\n7655 11538\n65937 98895\n33824 50728\n79982 100000\n40781 61115\n48076 72097\n69479 100000\n73343 100000\n13612 20436\n93801 100000\n2634 3957\n56568 84846\n10031 15113\n73733 100000\n10702 16118\n93001 100000\n7715 11632\n67250 100000\n44888 67263\n42652 63921\n13038 19606\n68894 100000\n1648 2474\n51835 77757\n11019 16596\n71438 100000\n86715 100000\n21418 32116\n35267 52891\n73887 100000\n61472 92228\n97259 100000\n22507 33775\n13569 20374\n60157 90264\n85231 100000\n29841 44740\n55986 83964\n48788 73171\n42196 63248\n57323 85999\n80987 100000\n84542 100000\n51453 77190\n91522 100000\n34920 52375\n14181 21281\n21693 32542\n17334 26008\n59201 88807\n42708 63994\n45805 68652\n97249 100000\n65054 97586\n65581 98372\n92775 100000\n15611 23433\n98855 100000\n89870 100000\n62926 94415\n99851 100000\n47518 71262\n66810 100000\n12695 19106\n35674 53498\n8756 13176\n62874 94333\n40181 60214\n63973 95984\n83011 100000\n22001 33018\n69907 100000\n79339 100000\n95495 100000\n23866 35794\n4510 6782\n29678 44498\n74241 100000\n79407 100000\n80601 100000\n42263 63347\n27430 41111\n77049 100000\n86163 100000\n48113 72146\n4982 7514\n87331 100000\n45591 68322\n66816 100000\n70661 100000\n58705 88063\n99123 100000\n55697 83527\n17894 26844\n1601 2406\n74812 100000\n49590 74383\n24181 36265\n33871 50796\n30243 45326\n32784 49171\n37675 56471\n20316 30462\n14589 21898\n70644 100000\n68604 100000\n13337 20041\n65066 97603\n94167 100000\n40587 60817\n74731 100000\n85501 100000\n19911 29858\n24754 37109\n85522 100000\n83814 100000\n31225 46806\n82018 100000\n80706 100000\n70258 100000\n43570 65280\n67138 100000\n12202 18369\n30153 45198\n23913 35867\n96003 100000\n78671 100000\n15660 23505\n88574 100000\n40069 60044\n24205 36298\n15716 23587\n7079 10673\n70138 100000\n11543 17377\n53039 79557\n68338 100000\n19663 29484\n87441 100000\n71598 100000\n22152 33249\n84532 100000\n44733 67034\n80777 100000\n57910 86874\n81557 100000\n28804 43178\n75271 100000\n64912 97378\n30313 45428\n62715 94087\n12498 18812\n28135 42178\n97053 100000\n98908 100000\n2293 3443\n17379 26073\n86064 100000\n33889 50821\n27135 40676\n81055 100000\n97036 100000\n42054 63033\n82957 100000\n29520 44266\n77899 100000\n55754 83611\n20285 30422\n21312 31946\n74154 100000\n53471 80213\n7397 11148\n22976 34480\n43680 65449\n2152 3227\n8558 12891\n68857 100000\n40066 60039\n6075 9174\n7921 11938\n66708 100000\n95723 100000\n66849 100000\n72292 100000\n91773 100000\n39817 59660\n57062 85599\n77531 100000\n87064 100000\n51929 77896\n82884 100000\n83980 100000\n5892 8894\n7751 11687\n35924 53869\n57315 85988\n69253 100000\n73218 100000\n56368 84539\n49460 74176\n52894 79339\n5589 8432\n43276 64848\n30635 45920\n65519 98278\n15305 22970\n14188 21292\n42204 63258\n1355 2041\n65509 98263\n72130 100000\n50680 76017\n22760 34149\n77859 100000\n75089 100000\n90752 100000\n26843 40236\n19279 28908\n75618 100000\n78958 100000\n43488 65157\n94663 100000\n82393 100000\n50 75\n3635 5458\n87753 100000\n6085 9189\n32051 48067\n59305 88972\n86289 100000\n84265 100000\n41648 62428\n64720 97098\n78097 100000\n77356 100000\n83131 100000\n26611 39893\n818 1228\n53941 80920\n95406 100000\n91065 100000\n20634 30949\n28113 42147\n19749 29618\n80896 100000\n51547 77329\n98708 100000\n65298 97945\n34952 52425\n52091 78143\n30109 45136\n20410 30602\n91513 100000\n18429 27616\n55418 83113\n94476 100000\n11293 17005\n47474 71197\n36975 55448\n3898 5854\n2486 3731\n20809 31194\n49592 74386\n7231 10899\n99221 100000\n70472 100000\n80164 100000\n54671 81988\n73919 100000\n24903 37337\n50194 75282\n8546 12874\n37882 56773\n32968 49450\n23398 35104\n43154 64657\n30689 46004\n57629 86457\n79068 100000\n49164 73724\n49493 74230\n70360 100000\n47639 71449\n97308 100000\n14504 21769\n57246 85880\n61466 92220\n6219 9390\n47736 71591\n41745 62573\n71004 100000\n28369 42525\n7492 11292\n53669 80518\n97027 100000\n746 1118\n51840 77764\n4141 6218\n69561 100000\n37765 56603\n1719 2581\n48669 72994\n84923 100000\n59311 88981\n92032 100000\n12334 18564\n5908 8919\n61344 92037\n49368 74040\n77420 100000\n54781 82147\n2278 3420\n28770 43124\n79566 100000\n74189 100000\n26630 39925\n71752 100000\n79788 100000\n10203 15371\n35031 52536\n94837 100000\n94323 100000\n9979 15033\n33247 49869\n11458 17255\n70674 100000\n27015 40490\n26672 39989\n68683 100000\n78121 100000\n43274 64845\n53699 80563\n28237 42330\n44244 66295\n32989 49482\n43551 65256\n44839 67187\n27120 40652\n42997 64420\n61989 93000\n58545 87824\n45314 67902\n12214 18387\n91349 100000\n68895 100000\n19136 28696\n42320 63432\n98279 100000\n24704 37035\n94346 100000\n35884 53811\n17517 26280\n49868 74791\n22329 33515\n48931 73384\n76566 100000\n21847 32780\n71868 100000\n62750 94143\n96130 100000\n70855 100000\n15529 23306\n60887 91347\n8450 12721\n35470 53192\n19925 29879\n1067 1602\n16801 25199\n23785 35679\n97557 100000\n64130 96215\n98430 100000\n23413 35124\n25619 38413\n4319 6497\n84330 100000\n92277 100000\n62679 94035\n19174 28753\n44911 67295\n19962 29934\n57178 85777\n71066 100000\n3003 4513\n75578 100000\n24761 37119\n36231 54325\n81535 100000\n53772 80674\n95865 100000\n69510 100000\n86738 100000\n55543 83301\n16338 24526\n50428 75634\n93690 100000\n67815 100000\n62995 94525\n11722 17639\n81836 100000\n42327 63443\n28681 42994\n61749 92642\n68229 100000\n40535 60740\n68276 100000\n69017 100000\n49529 74288\n44825 67166\n99046 100000\n61994 93005\n79045 100000\n29493 44220\n17791 26689\n75902 100000\n36539 54803\n15514 23283\n23585 35384\n55506 83246\n81611 100000\n85880 100000\n95224 100000\n2665 4003\n51762 77649\n89578 100000\n46349 69498\n22599 33911\n45628 68388\n6034 9115\n62078 93133\n838 1258\n5231 7889\n64920 97390\n3946 5923\n63648 95489\n2245 3369\n21890 32849\n68850 100000\n38269 57351\n90280 100000\n12209 18379\n25826 38728\n4963 7486\n84495 100000\n96952 100000\n19380 29055\n79857 100000\n10628 16008\n42310 63419\n18341 27485\n21979 32983\n52697 79049\n62351 93543\n63191 94829\n98004 100000\n77180 100000\n16383 24589\n2441 3663\n80446 100000\n71326 100000\n21507 32248\n72149 100000\n80053 100000\n43885 65757\n20533 30790\n30671 45977\n17756 26634\n23989 35981\n55103 82626\n63560 95360\n37404 56078\n72827 100000\n40869 61246\n92594 100000\n16576 24874\n32951 49423\n72074 100000\n26214 39313\n22735 34109\n28147 42200\n25542 38290\n42805 64134\n90215 100000\n5290 7983\n12962 19487\n10956 16501\n47529 71279\n43395 65021\n42393 63544\n61618 92443\n53481 80227\n75957 100000\n29973 44938\n69892 100000\n61936 92921\n80495 100000\n87246 100000\n2335 3512\n84726 100000\n72770 100000\n35359 53025\n10893 16403\n44209 66242\n93172 100000\n47795 71681\n83034 100000\n47938 71893\n70611 100000\n66330 99495\n87383 100000\n16286 24438\n4700 7080\n42822 64158\n39114 58594\n80293 100000\n21672 32509\n45523 68217\n59704 89578\n90995 100000\n15774 23667\n11663 17552\n13932 20917\n14252 21383\n17802 26704\n19492 29222\n86371 100000\n76659 100000\n50095 75129\n65707 98559\n57823 86742\n12596 18955\n12803 19266\n48252 72363\n28981 43447\n41280 61865\n70828 100000\n73800 100000\n87781 100000\n28761 43114\n33121 49689\n85859 100000\n98712 100000\n78810 100000\n31100 46621\n95785 100000\n88371 100000\n98770 100000\n30112 45139\n981 1473\n29413 44102\n83966 100000\n71745 100000\n48462 72673\n15302 22964\n85265 100000\n97055 100000\n83866 100000\n10811 16286\n82982 100000\n80995 100000\n34870 52300\n68627 100000\n27557 41311\n41694 62496\n33421 50129\n59743 89640\n77467 100000\n11938 17963\n13044 19614\n17050 25581\n54747 82100\n54553 81816\n65976 98956\n46866 70282\n82680 100000\n79454 100000\n44912 67296\n45285 67858\n88480 100000\n90079 100000\n93267 100000\n4611 6936\n70124 100000\n26073 39100\n99848 100000\n30428 45594\n28105 42137\n34882 52318\n98583 100000\n14683 22036\n38187 57224\n70497 100000\n95413 100000\n77785 100000\n64496 96757\n66303 99453\n60101 90179\n5560 8386\n39985 59922\n97161 100000\n57241 85873\n35137 52691\n18230 27316\n47386 71061\n96751 100000\n14118 21188\n2196 3288\n26938 40379\n77448 100000\n34482 51716\n17968 26940\n1080 1621\n5776 8711\n2892 4346\n95249 100000\n38559 57786\n87282 100000\n26810 40189\n26384 39565\n97779 100000\n80057 100000\n4496 6764\n63956 95958\n96604 100000\n41189 61729\n34394 51583\n72917 100000\n79081 100000\n5054 7624\n45043 67492\n21536 32289\n33266 49895\n72789 100000\n42998 64422\n59748 89648\n88863 100000\n21291 31916\n797 1196\n52784 79172\n32961 49439\n76702 100000\n92350 100000\n52799 79197\n57834 86757\n93124 100000\n67998 100000\n98475 100000\n86247 100000\n48803 73191\n35334 52986\n42313 63423\n93017 100000\n95081 100000\n42413 63574\n40179 60211\n97142 100000\n27164 40717\n95955 100000\n62242 93376\n436 645\n39640 59383\n3143 4728\n28623 42907\n46874 70293\n75292 100000\n91235 100000\n69820 100000\n52903 79355\n23399 35105\n85553 100000\n53673 80524\n7873 11869\n63214 94856\n88671 100000\n2199 3293\n99507 100000\n98167 100000\n52466 78703\n9475 14256\n35870 53793\n69024 100000\n91000 100000\n17002 25500\n18141 27191\n41573 62311\n64077 96134\n94901 100000\n38090 57078\n61492 92258\n73995 100000\n24637 36933\n29119 43655\n70739 100000\n65042 97571\n18437 27627\n76896 100000\n56817 85224\n23206 34817\n2769 4162\n92947 100000\n49396 74082\n37316 55951\n6546 9888\n64215 96337\n34530 51792\n41612 62374\n41805 62656\n56164 84233\n71028 100000\n99563 100000\n89558 100000\n9170 13796\n58101 87171\n47275 70893\n78365 100000\n3385 5086\n72744 100000\n41791 62638\n24315 36459\n83490 100000\n40384 60515\n73000 100000\n98572 100000\n56432 84634\n40547 60758\n88895 100000\n37417 56096\n3130 4706\n53446 80172\n71642 100000\n46696 70018\n55859 83772\n80467 100000\n97481 100000\n9483 14267\n83221 100000\n95629 100000\n71008 100000\n28704 43030\n35849 53759\n22101 33169\n69864 100000\n11507 17324\n47869 71790\n71247 100000\n97728 100000\n12743 19178\n97816 100000\n14803 22212\n77122 100000\n83691 100000\n79439 100000\n73279 100000\n26313 39460\n96833 100000\n17190 25789\n96077 100000\n43431 65077\n59159 88745\n26333 39486\n63166 94791\n88994 100000\n26841 40233\n94124 100000\n122 184\n76007 100000\n81171 100000\n8222 12374\n32729 49088\n91938 100000\n94340 100000\n98631 100000\n99398 100000\n28756 43107\n94591 100000\n90574 100000\n34175 51249\n62785 94194\n83152 100000\n98709 100000\n24143 36207\n60400 90615\n67862 100000\n16066 24109\n20230 30342\n84131 100000\n98677 100000\n2494 3744\n23222 34842\n95767 100000\n80838 100000\n35793 53672\n96562 100000\n17319 25986\n82408 100000\n9593 14429\n56605 84907\n25576 38340\n74959 100000\n42575 63806\n62073 93125\n8386 12621\n64782 97179\n73501 100000\n22637 33965\n1204 1814\n38574 57810\n37746 56572\n77964 100000\n85526 100000\n2091 3136\n44030 65973\n14860 22292\n11578 17431\n94712 100000\n20648 30968\n28602 42874\n7717 11636\n69911 100000\n24980 37450\n33953 50914\n51100 76670\n30461 45654\n51787 77686\n52954 79425\n8659 13036\n35262 52884\n16096 24151\n64347 96541\n56730 85090\n45356 67966\n15306 22971\n39666 59427\n15596 23410\n61098 91666\n37273 55885\n4724 7114\n27053 40551\n17292 25943\n54864 82273\n60205 90336\n77507 100000\n35081 52610\n34545 51814\n16167 24258\n78426 100000\n84713 100000\n6145 9276\n20107 30158\n31851 47757\n65851 98764\n43230 64780\n81215 100000\n7308 11015\n15654 23496\n96950 100000\n30218 45289\n87691 100000\n53657 80499\n34300 51435\n22124 33207\n40417 60566\n60084 90153\n28738 43079\n75155 100000\n23174 34767\n35199 52790\n26302 39442\n90799 100000\n30449 45634\n78458 100000\n85186 100000\n99235 100000\n97733 100000\n1924 2876\n9127 13728\n21242 31845\n47477 71200\n25281 37899\n77323 100000\n28327 42465\n59078 88621\n28405 42579\n31878 47797\n57438 86169\n2365 3555\n55853 83764\n41865 62750\n1027 1545\n78580 100000\n58517 87782\n52485 78729\n94954 100000\n80556 100000\n45933 68850\n23042 34574\n65835 98741\n38414 57570\n42416 63578\n34868 52297\n94083 100000\n3562 5347\n3942 5919\n78973 100000\n34400 51590\n69440 100000\n29385 44055\n91663 100000\n98458 100000\n40167 60193\n55194 82760\n70890 100000\n41440 62106\n71360 100000\n14909 22367\n77473 100000\n11563 17407\n96036 100000\n84895 100000\n94805 100000\n49032 73533\n74715 100000\n79349 100000\n87049 100000\n26024 39027\n43569 65279\n89198 100000\n48141 72187\n76557 100000\n40415 60563\n48833 73234\n60670 91021\n5433 8198\n3986 5986\n22696 34052\n73468 100000\n19253 28868\n46561 69818\n42670 63946\n85541 100000\n42514 63722\n56085 84109\n57796 86703\n57639 86472\n21292 31918\n60491 90756\n99899 100000\n2305 3464\n46772 70138\n39448 59093\n59040 88563\n82316 100000\n96722 100000\n39922 59822\n81859 100000\n72143 100000\n56956 85435\n51036 76573\n92624 100000\n94842 100000\n64639 96972\n71414 100000\n62848 94295\n79574 100000\n12273 18476\n46165 69206\n42662 63936\n75119 100000\n12934 19443\n64272 96423\n20201 30301\n15413 23132\n32463 48686\n20435 30638\n78774 100000\n35403 53092\n36102 54135\n10543 15871\n43934 65828\n1609 2415\n24996 37476\n79350 100000\n33461 50193\n9488 14274\n9666 14540\n51503 77261\n79310 100000\n9095 13684\n86489 100000\n70396 100000\n25729 38581\n98235 100000\n86331 100000\n19604 29395\n35719 53558\n10685 16092\n76600 100000\n86607 100000\n45819 68673\n67078 100000\n80573 100000\n88034 100000\n75209 100000\n56842 85262\n6348 9594\n29934 44881\n27267 40872\n83243 100000\n59393 89104\n15763 23651\n9373 14097\n12988 19527\n26598 39874\n70051 100000\n96774 100000\n53363 80037\n18240 27331\n73102 100000\n11239 16927\n39111 58590\n30032 45027\n99326 100000\n36916 55361\n58497 87752\n88268 100000\n96747 100000\n46545 69795\n33648 50467\n27054 40553\n25947 38911\n80664 100000\n66309 99465\n18249 27345\n6241 9427\n30509 45730\n50283 75414\n19127 28684\n75692 100000\n8066 12151\n35399 53087\n38232 57291\n8678 13065\n74633 100000\n87478 100000\n11890 17888\n77487 100000\n30222 45294\n28882 43302\n64764 97157\n52836 79252\n90229 100000\n92694 100000\n56698 85040\n34927 52384\n11024 16603\n54844 82243\n93291 100000\n86614 100000\n92160 100000\n44071 66037\n10290 15498\n7748 11684\n3410 5125\n80088 100000\n77970 100000\n74565 100000\n9350 14064\n46634 69924\n99764 100000\n50419 75620\n47387 71062\n61254 91898\n553 832\n41658 62442\n9003 13546\n42562 63789\n11847 17824\n30881 46298\n96583 100000\n22768 34160\n91688 100000\n93707 100000\n92501 100000\n57857 86794\n70241 100000\n72269 100000\n52328 78498\n99835 100000\n95032 100000\n49082 73599\n11251 16944\n43600 65329\n18549 27797\n96180 100000\n78531 100000\n17170 25762\n73110 100000\n61890 92854\n99825 100000\n29919 44857\n2249 3375\n56022 84017\n60225 90365\n8079 12168\n64430 96664\n86258 100000\n71479 100000\n24561 36822\n52775 79158\n89898 100000\n31307 46937\n21901 32863\n51630 77459\n64882 97331\n10244 15432\n99137 100000\n85496 100000\n21918 32891\n30745 46088\n68712 100000\n85214 100000\n41713 62523\n50171 75246\n37562 56307\n80445 100000\n36009 53999\n16062 24103\n1434 2159\n41468 62150\n68396 100000\n16455 24696\n95268 100000\n15505 23268\n33138 49715\n3120 4689\n14604 21919\n61369 92076\n82066 100000\n11338 17067\n87906 100000\n99816 100000\n69811 100000\n92509 100000\n60388 90599\n55677 83497\n54324 81496\n59808 89737\n91932 100000\n58328 87510\n26020 39019\n542 814\n21558 32321\n98033 100000\n70750 100000\n69791 100000\n78710 100000\n30465 45660\n90762 100000\n74640 100000\n51202 76826\n46030 69000\n80515 100000\n6365 9619\n55266 82877\n66898 100000\n69222 100000\n60194 90318\n62701 94065\n31563 47318\n85209 100000\n40050 60015\n36712 55057\n19641 29449\n65282 97922\n40145 60162\n73973 100000\n41851 62725\n59781 89698\n105 159\n33440 50159\n74194 100000\n18070 27089\n55415 83108\n40496 60678\n46293 69411\n36067 54082\n42354 63485\n80648 100000\n17902 26853\n68609 100000\n53047 79570\n16447 24685\n49566 74345\n1038 1559\n57700 86565\n81213 100000\n72816 100000\n44662 66934\n4175 6272\n11763 17696\n61233 91870\n82397 100000\n50124 75175\n69310 100000\n20192 30287\n52425 78642\n39186 58707\n53904 80866\n345 504\n93246 100000\n31136 46674\n14081 21131\n18382 27546\n42096 63098\n526 788\n99728 100000\n20446 30653\n56237 84344\n68762 100000\n268 395\n56469 84695\n59694 89564\n87672 100000\n60067 90127\n99253 100000\n38867 58234\n12704 19121\n70390 100000\n95893 100000\n91780 100000\n99564 100000\n79025 100000\n16372 24574\n88557 100000\n40737 61043\n84268 100000\n5198 7844\n27419 41094\n35637 53444\n3173 4768\n4468 6724\n50051 75067\n39804 59643\n39134 58623\n12524 18847\n77889 100000\n59693 89563\n3796 5695\n9332 14037\n80334 100000\n57881 86829\n57716 86590\n63470 95231\n91608 100000\n25413 38101\n17754 26631\n38054 57027\n23127 34700\n61788 92696\n62819 94250\n74957 100000\n62018 93044\n13345 20055\n23888 35825\n84409 100000\n6137 9265\n63514 95294\n53739 80623\n8949 13464\n12188 18347\n30009 44991\n95589 100000\n3633 5456\n28851 43254\n15931 23898\n75640 100000\n44913 67298\n91061 100000\n32159 48223\n21718 32579\n92619 100000\n73312 100000\n41486 62177\n15229 22861\n77727 100000\n17194 25795\n2379 3574\n46355 69507\n81329 100000\n74530 100000\n30007 44988\n70637 100000\n12103 18214\n95169 100000\n67785 100000\n38699 57984\n85987 100000\n78920 100000\n31428 47120\n95310 100000\n37773 56615\n4940 7451\n28279 42395\n7669 11560\n15875 23814\n81872 100000\n27939 41884\n42074 63064\n28037 42047\n20074 30105\n49874 74802\n13292 19975\n66328 99492\n63572 95377\n13033 19597\n57776 86676\n6936 10469\n45509 68194\n88274 100000\n9482 14265\n62745 94133\n73202 100000\n21537 32291\n14481 21734\n31775 47639\n53458 80192\n12602 18963\n86207 100000\n68648 100000\n46106 69118\n87998 100000\n22708 34069\n18336 27478\n93332 100000\n64962 97452\n13484 20253\n60262 90417\n28789 43152\n57365 86066\n74653 100000\n55857 83770\n61161 91763\n63269 94932\n15171 22765\n57496 86257\n18935 28383\n88740 100000\n72976 100000\n15558 23350\n76482 100000\n30728 46061\n23577 35371\n30192 45251\n25478 38194\n64835 97258\n38159 57182\n78048 100000\n55131 82672\n84861 100000\n94606 100000\n54651 81955\n97229 100000\n9080 13664\n47053 70562\n87277 100000\n7844 11824\n68590 100000\n96184 100000\n5055 7626\n25890 38822\n36243 54345\n75142 100000\n20127 30187\n32686 49021\n87653 100000\n30284 45387\n31425 47115\n75365 100000\n94963 100000\n28873 43288\n76589 100000\n92191 100000\n71930 100000\n75787 100000\n15436 23166\n20266 30395\n63335 95024\n43482 65148\n21390 32073\n96072 100000\n95421 100000\n61824 92752\n30208 45274\n96059 100000\n15929 23896\n43399 65026\n1362 2049\n39650 59399\n70757 100000\n42773 64088\n20099 30146\n71878 100000\n46487 69703\n53847 80782\n98333 100000\n81235 100000\n97814 100000\n73504 100000\n9627 14480\n45163 67678\n47064 70575\n77580 100000\n30419 45581\n56683 85021\n6 10\n9132 13736\n82142 100000\n76044 100000\n25942 38903\n35866 53786\n99464 100000\n85905 100000\n430 634\n8962 13482\n66030 99043\n24068 36097\n5814 8767\n65296 97941\n7028 10600\n39879 59759\n58764 88149\n68101 100000\n58958 88441\n18187 27257\n90650 100000\n92396 100000\n16687 25037\n18202 27277\n52681 79023\n34854 52277\n39878 59758\n61269 91918\n85278 100000\n94991 100000\n22781 34180\n36915 55360\n34277 51400\n13877 20838\n61655 92498\n66269 99400\n68248 100000\n15298 22959\n10644 16032\n29828 44720\n22502 33769\n15504 23266\n76351 100000\n94857 100000\n18884 28308\n18534 27777\n26783 40150\n21362 32028\n31733 47580\n7884 11884\n9737 14648\n95013 100000\n41785 62630\n1196 1804\n31620 47407\n77003 100000\n89631 100000\n79924 100000\n77447 100000\n45538 68239\n12985 19521\n29532 44281\n96364 100000\n67742 100000\n16505 24771\n45831 68691\n1828 2738\n95112 100000\n62763 94157\n70625 100000\n81109 100000\n13621 20450\n37366 56021\n76451 100000\n6883 10394\n67953 100000\n79366 100000\n67567 100000\n87776 100000\n15702 23567\n314 459\n66553 99833\n6504 9825\n10774 16225\n15980 23974\n15499 23258\n93157 100000\n54308 81470\n45726 68539\n32332 48486\n99949 100000\n96314 100000\n90273 100000\n85472 100000\n60295 90461\n5059 7631\n26839 40231\n33798 50688\n83669 100000\n29634 44430\n84945 100000\n5931 8955\n34541 51809\n84842 100000\n76420 100000\n75705 100000\n23563 35346\n9742 14656\n91281 100000\n19365 29031\n79881 100000\n49375 74051\n48229 72326\n79553 100000\n45876 68759\n5534 8347\n23160 34746\n10568 15911\n78795 100000\n97998 100000\n15580 23386\n83724 100000\n89777 100000\n93578 100000\n20 28\n96436 100000\n96504 100000\n8758 13178\n81466 100000\n13312 20003\n34520 51775\n40340 60450\n68617 100000\n66131 99197\n21650 32471\n77301 100000\n20588 30883\n2411 3620\n95691 100000\n31877 47795\n22568 33866\n43778 65593\n53506 80264\n57473 86224\n73126 100000\n19204 28800\n47070 70584\n54650 81954\n75870 100000\n50461 75682\n25603 38389\n31835 47734\n89486 100000\n95966 100000\n74710 100000\n851 1278\n97279 100000\n31771 47633\n57974 86974\n10809 16283\n99432 100000\n48051 72058\n46870 70288\n44314 66401\n99577 100000\n22043 33086\n34734 52102\n44308 66393\n14197 21305\n99387 100000\n4303 6470\n32963 49442\n70 107\n60094 90169\n88688 100000\n32008 47997\n10457 15745\n63271 94936\n45633 68394\n58330 87513\n78556 100000\n4912 7404\n92098 100000\n68108 100000\n6921 10448\n8474 12759\n10024 15100\n62814 94240\n41817 62676\n42088 63085\n99876 100000\n44189 66214\n68347 100000\n66769 100000\n74108 100000\n56424 84623\n16339 24528\n61410 92138\n96587 100000\n88581 100000\n84953 100000\n45619 68371\n89473 100000\n34990 52481\n79129 100000\n1144 1725\n56051 84063\n29976 44943\n60076 90142\n11944 17974\n75540 100000\n69424 100000\n747 1119\n99504 100000\n66188 99279\n81418 100000\n97852 100000\n39138 58628\n78954 100000\n72455 100000\n77050 100000\n26643 39945\n11848 17825\n83535 100000\n87822 100000\n3101 4658\n77273 100000\n27208 40783\n39210 58743\n9506 14300\n37388 56056\n19393 29072\n45808 68656\n12658 19049\n6321 9550\n68443 100000\n33127 49696\n34951 52423\n81659 100000\n3010 4525\n4213 6328\n92751 100000\n34263 51379\n21385 32064\n25992 38980\n63989 96008\n70408 100000\n29599 44376\n78297 100000\n87298 100000\n39372 58981\n51090 76654\n27011 40484\n82055 100000\n7510 11317\n15814 23724\n63911 95891\n32542 48811\n77940 100000\n90850 100000\n69232 100000\n65216 97828\n16546 24827\n36297 54433\n58863 88291\n45974 68916\n17749 26624\n89281 100000\n33314 49964\n95591 100000\n35776 53649\n18404 27580\n51638 77470\n7015 10580\n1911 2859\n69606 100000\n70551 100000\n79083 100000\n5706 8608\n11551 17390\n42545 63763\n62340 93523\n66921 100000\n36000 53987\n5326 8039\n82360 100000\n66435 99651\n75812 100000\n70416 100000\n52528 78795\n79959 100000\n60890 91352\n99611 100000\n45830 68689\n55940 83899\n53455 80186\n53701 80565\n18881 28302\n57331 86011\n86488 100000\n71767 100000\n12382 18633\n81793 100000\n5845 8814\n78804 100000\n39763 59577\n32682 49016\n75889 100000\n41294 61885\n41511 62217\n61823 92751\n40359 60480\n21975 32977\n77412 100000\n31784 47656\n86111 100000\n34964 52446\n44131 66128\n55077 82585\n75645 100000\n70971 100000\n29803 44686\n97982 100000\n43319 64916\n65677 98516\n52138 78218\n97973 100000\n73696 100000\n69781 100000\n14289 21446\n61991 93002\n52008 78018\n10737 16172\n74363 100000\n68091 100000\n47297 70925\n78139 100000\n60185 90306\n13379 20106\n2561 3851\n8372 12599\n7228 10893\n74261 100000\n52086 78136\n96070 100000\n12294 18505\n54357 81542\n88889 100000\n7160 10794\n7401 11152\n97566 100000\n52355 78538\n90362 100000\n24681 37002\n87843 100000\n14340 21528\n77643 100000\n4760 7172\n61638 92472\n79971 100000\n27600 41376\n77242 100000\n16571 24866\n29621 44411\n46092 69096\n89922 100000\n17221 25834\n81089 100000\n95971 100000\n45767 68598\n16913 25362\n71985 100000\n20415 30609\n26212 39309\n72726 100000\n54949 82394\n80375 100000\n86045 100000\n51536 77314\n90955 100000\n81797 100000\n26542 39792\n50166 75238\n88512 100000\n24563 36824\n86056 100000\n847 1272\n23053 34590\n70876 100000\n18348 27496\n12010 18075\n22103 33173\n97932 100000\n84213 100000\n41752 62581\n70136 100000\n50405 75600\n82638 100000\n79558 100000\n20758 31127\n53218 79836\n68262 100000\n29467 44182\n35270 52896\n96532 100000\n17750 26625\n74311 100000\n65958 98928\n67770 100000\n6253 9444\n54624 81919\n6352 9599\n93358 100000\n89520 100000\n25016 37505\n16949 25420\n47298 70927\n67654 100000\n57028 85548\n21596 32381\n96542 100000\n34857 52281\n63903 95879\n53211 79827\n71994 100000\n32481 48712\n57333 86014\n33668 50497\n60145 90246\n9239 13897\n38694 57977\n76266 100000\n63564 95365\n59962 89967\n89598 100000\n5963 9008\n32372 48545\n1698 2551\n46206 69266\n61871 92826\n83439 100000\n60471 90725\n88113 100000\n71070 100000\n92564 100000\n85426 100000\n15135 22711\n43473 65137\n24818 37210\n49662 74491\n95062 100000\n73839 100000\n95283 100000\n96961 100000\n77771 100000\n37035 55530\n14204 21317\n76035 100000\n95543 100000\n29702 44534\n82627 100000\n47847 71759\n34063 51084\n89831 100000\n22844 34277\n27711 41542\n95054 100000\n58947 88421\n46995 70479\n43753 65557\n95844 100000\n86110 100000\n98585 100000\n57174 85770\n21877 32831\n18888 28315\n25034 37537\n91669 100000\n83776 100000\n15801 23706\n16597 24902\n10391 15654\n79126 100000\n52573 78865\n83497 100000\n58072 87124\n36503 54747\n34071 51095\n46046 69025\n93302 100000\n99490 100000\n65058 97592\n27659 41463\n20811 31196\n72740 100000\n41179 61716\n86307 100000\n34921 52376\n15182 22783\n98472 100000\n37764 56601\n18955 28416\n27580 41344\n72087 100000\n48693 73032\n98686 100000\n1531 2306\n43444 65094\n94155 100000\n87778 100000\n62671 94023\n49320 73966\n92358 100000\n67540 100000\n58042 87079\n13986 20993\n15297 22957\n8399 12644\n90257 100000\n1042 1566\n14662 22006\n7805 11767\n79902 100000\n87717 100000\n87095 100000\n77552 100000\n69266 100000\n59821 89754\n4325 6504\n88901 100000\n39988 59926\n64151 96245\n50554 75822\n14573 21871\n91301 100000\n54348 81532\n52438 78662\n52977 79461\n49440 74146\n5440 8208\n40140 60155\n289 423\n97863 100000\n36521 54775\n78066 100000\n77571 100000\n76910 100000\n91734 100000\n50162 75232\n19751 29620\n3275 4922\n44506 66696\n81217 100000\n96958 100000\n4486 6750\n98340 100000\n97719 100000\n95619 100000\n71231 100000\n30540 45779\n71973 100000\n44752 67065\n96283 100000\n80307 100000\n76114 100000\n51988 77985\n143 215\n82465 100000\n9788 14730\n19109 28656\n82508 100000\n72329 100000\n13473 20240\n61816 92740\n42635 63898\n16247 24382\n77536 100000\n80478 100000\n43198 64728\n81227 100000\n84908 100000\n29200 43777\n64075 96130\n15030 22550\n4607 6931\n8045 12118\n61366 92071\n19856 29770\n26099 39146\n50350 75511\n30530 45763\n21208 31798\n46211 69274\n4209 6322\n6709 10135\n1093 1640\n64838 97263\n11852 17831\n13852 20798\n16929 25383\n2961 4451\n57510 86280\n10523 15840\n94838 100000\n16318 24496\n4946 7459\n96115 100000\n6611 9986\n86983 100000\n81069 100000\n80743 100000\n86190 100000\n38468 57649\n96764 100000\n42680 63959\n16396 24610\n14544 21830\n10799 16266\n35449 53159\n94630 100000\n33511 50262\n73953 100000\n683 1018\n84840 100000\n51127 76711\n20175 30261\n60354 90549\n57078 85624\n22762 34152\n80595 100000\n20955 31415\n40855 61225\n92444 100000\n56468 84693\n51796 77699\n51194 76814\n24867 37281\n38501 57701\n36454 54670\n55155 82709\n11666 17557\n14486 21740\n41772 62610\n72488 100000\n62104 93171\n38903 58288\n70935 100000\n63387 95105\n15640 23477\n38419 57577\n37493 56206\n45784 68626\n69390 100000\n70145 100000\n75159 100000\n10276 15480\n44898 67278\n22751 34134\n96968 100000\n90524 100000\n78086 100000\n74887 100000\n66125 99189\n23330 35009\n28893 43319\n88708 100000\n1558 2347\n82028 100000\n46706 70034\n34203 51290\n75281 100000\n91191 100000\n48561 72830\n6341 9582\n61974 92979\n1499 2260\n82640 100000\n63614 95440\n88912 100000\n69161 100000\n20594 30893\n57217 85833\n2324 3492\n32718 49070\n62327 93503\n26815 40197\n92743 100000\n93003 100000\n30621 45901\n15269 22918\n76234 100000\n57651 86488\n79839 100000\n56132 84179\n60308 90483\n76926 100000\n68915 100000\n24330 36484\n61448 92193\n61328 92011\n5639 8505\n64334 96521\n43719 65505\n86142 100000\n89753 100000\n13025 19583\n33560 50334\n57937 86917\n99937 100000\n87255 100000\n61756 92653\n1967 2944\n1233 1856\n79931 100000\n74757 100000\n37200 55771\n26140 39208\n58984 88478\n61667 92515\n7271 10961\n85858 100000\n77886 100000\n33840 50753\n42141 63168\n57151 85735\n38843 58197\n19524 29272\n18683 28008\n41351 61967\n73762 100000\n85482 100000\n17326 25996\n32806 49204\n67147 100000\n72173 100000\n51132 76719\n55912 83854\n1758 2634\n97995 100000\n96037 100000\n69093 100000\n94891 100000\n7650 11529\n93695 100000\n1820 2724\n47092 70616\n82181 100000\n49176 73742\n92889 100000\n45 68\n10631 16013\n5739 8652\n91129 100000\n80568 100000\n81425 100000\n87908 100000\n80010 100000\n25828 38732\n86173 100000\n46055 69040\n44701 66991\n11913 17923\n93498 100000\n12728 19158\n84110 100000\n64869 97311\n93261 100000\n25119 37667\n17989 26970\n90685 100000\n38782 58104\n28386 42551\n41719 62532\n67497 100000\n9433 14191\n30286 45390\n58358 87551\n11044 16636\n14901 22356\n83731 100000\n7258 10941\n29183 43754\n38066 57044\n83607 100000\n25215 37803\n13671 20525\n89567 100000\n91884 100000\n23939 35909\n48978 73451\n97597 100000\n38377 57513\n18952 28411\n85273 100000\n37996 56945\n90033 100000\n55700 83532\n22056 33104\n6760 10208\n55812 83701\n61776 92681\n1907 2855\n8333 12538\n62344 93530\n54262 81400\n93775 100000\n55821 83715\n18444 27636\n44797 67129\n82481 100000\n98108 100000\n70766 100000\n12078 18179\n92890 100000\n10947 16488\n50616 75916\n69529 100000\n36589 54875\n65971 98948\n20138 30201\n30571 45828\n70522 100000\n3563 5349\n55412 83103\n49615 74423\n71216 100000\n10767 16215\n79281 100000\n2189 3280\n2574 3870\n51326 77011\n65106 97665\n65708 98560\n73688 100000\n5275 7961\n23925 35886\n73125 100000\n24865 37278\n23521 35286\n41631 62402\n90883 100000\n55685 83509\n2676 4022\n55225 82805\n25367 38027\n17100 25655\n6729 10165\n31969 47935\n87362 100000\n52160 78251\n36431 54636\n61810 92730\n87166 100000\n8284 12462\n36886 55317\n30182 45235\n17139 25714\n83409 100000\n40347 60462\n41601 62356\n21753 32633\n58521 87788\n81575 100000\n60579 90890\n82261 100000\n45125 67618\n89362 100000\n14568 21862\n91598 100000\n40352 60469\n88014 100000\n14736 22110\n8143 12259\n41863 62747\n3237 4863\n75403 100000\n24947 37398\n28377 42537\n22094 33158\n10661 16055\n65185 97783\n46662 69964\n62976 94496\n35462 53179\n73134 100000\n47487 71218\n53278 79920\n87252 100000\n48333 72477\n1459 2196\n16223 24345\n30468 45664\n91510 100000\n11194 16857\n22183 33297\n22328 33514\n5384 8127\n45644 68410\n59775 89689\n52536 78808\n38631 57891\n17627 26443\n99858 100000\n30267 45362\n95228 100000\n58976 88466\n61403 92128\n11368 17116\n41055 61541\n51411 77131\n99301 100000\n5056 7627\n65439 98158\n16849 25267\n85080 100000\n85488 100000\n76396 100000\n83183 100000\n26894 40313\n34590 51885\n41100 61605\n24332 36486\n95393 100000\n39008 58441\n10578 15929\n16444 24682\n923 1384\n32333 48487\n74528 100000\n74659 100000\n47710 71555\n23116 34681\n93509 100000\n32568 48848\n44006 65935\n26608 39890\n19658 29476\n29124 43661\n6918 10442\n96545 100000\n7772 11716\n96235 100000\n68133 100000\n97753 100000\n9274 13951\n34118 51163\n5765 8693\n1801 2696\n46505 69731\n3452 5195\n67788 100000\n36638 54949\n3550 5328\n62512 93776\n11156 16798\n60732 91112\n43547 65250\n45079 67549\n99703 100000\n55591 83369\n4218 6337\n76249 100000\n70196 100000\n36821 55222\n58663 88001\n13474 20241\n25019 37511\n77506 100000\n18339 27483\n66009 99011\n23301 34963\n38341 57457\n26633 39929\n99911 100000\n55150 82700\n78979 100000\n97915 100000\n91868 100000\n5989 9050\n78051 100000\n27043 40534\n26228 39334\n30730 46065\n8481 12771\n62394 93605\n26342 39500\n99378 100000\n11518 17341\n55306 82940\n65810 98705\n68180 100000\n92357 100000\n41592 62341\n5365 8098\n9464 14240\n88378 100000\n38328 57440\n75181 100000\n31716 47556\n89459 100000\n18352 27502\n6852 10346\n22037 33077\n94020 100000\n6990 10547\n40620 60866\n75342 100000\n64340 96530\n83132 100000\n60375 90580\n47010 70503\n357 523\n62058 93101\n99557 100000\n24992 37468\n10801 16270\n86844 100000\n21577 32349\n88412 100000\n13488 20259\n59371 89073\n45909 68815\n96924 100000\n70582 100000\n82232 100000\n34409 51605\n43138 64635\n45336 67935\n89105 100000\n84729 100000\n69972 100000\n52200 78310\n28536 42780\n57270 85917\n78961 100000\n10139 15279\n46812 70200\n82079 100000\n63698 95561\n11055 16650\n48039 72038\n795 1193\n33129 49700\n83690 100000\n70650 100000\n3884 5831\n12549 18887\n2046 3064\n98688 100000\n43404 65035\n93440 100000\n11925 17944\n2530 3801\n74132 100000\n14128 21202\n35930 53879\n15644 23482\n15108 22668\n64187 96296\n55619 83411\n29341 43991\n22959 34452\n82556 100000\n1941 2902\n73085 100000\n92747 100000\n49574 74359\n27076 40582\n71188 100000\n99098 100000\n31830 47726\n63163 94787\n18184 27253\n12417 18684\n32967 49448\n63093 94677\n91415 100000\n51499 77254\n49826 74728\n97715 100000\n74042 100000\n87479 100000\n39311 58890\n42166 63204\n27703 41530\n50499 75743\n90216 100000\n84218 100000\n72473 100000\n44246 66298\n51249 76894\n27378 41033\n28220 42306\n21488 32220\n63427 95167\n98799 100000\n66833 100000\n21706 32559\n71440 100000\n24168 36246\n93438 100000\n30028 45020\n75726 100000\n76374 100000\n18928 28373\n83700 100000\n2131 3196\n78308 100000\n46189 69241\n56195 84284\n99975 100000\n86718 100000\n11202 16869\n93420 100000\n34433 51638\n67278 100000\n83528 100000\n80619 100000\n68863 100000\n66437 99654\n37102 55627\n54005 81019\n24323 36472\n49908 74850\n60798 91202\n96692 100000\n80999 100000\n74061 100000\n78333 100000\n29587 44358\n65337 98004\n84679 100000\n73150 100000\n46825 70218\n76670 100000\n94290 100000\n2124 3187\n94846 100000\n25373 38037\n7814 11778\n98442 100000\n82357 100000\n73608 100000\n53562 80352\n61116 91694\n54971 82424\n9748 14665\n30277 45376\n17549 26329\n34426 51628\n31064 46569\n52359 78543\n89830 100000\n28665 42970\n47561 71330\n27008 40480\n67789 100000\n73697 100000\n78125 100000\n42868 64226\n22789 34193\n95694 100000\n70666 100000\n80461 100000\n87946 100000\n18521 27753\n233 343\n90341 100000\n1214 1825\n46577 69838\n42058 63040\n1237 1861\n87316 100000\n31226 46808\n53534 80306\n42548 63767\n54772 82134\n83928 100000\n96913 100000\n81940 100000\n90775 100000\n59086 88632\n16443 24681\n36653 54969\n53887 80839\n92766 100000\n9978 15031\n563 847\n4839 7294\n56831 85246\n84390 100000\n10228 15412\n86559 100000\n70150 100000\n81417 100000\n95452 100000\n68745 100000\n1604 2409\n81054 100000\n57150 85734\n37186 55751\n70546 100000\n97332 100000\n2760 4148\n34381 51565\n69281 100000\n96347 100000\n12765 19209\n62762 94156\n62517 93783\n45188 67716\n65663 98494\n43355 64964\n75907 100000\n99353 100000\n50523 75778\n71178 100000\n77648 100000\n63304 94982\n54355 81540\n38289 57381\n22938 34419\n34688 52035\n53748 80635\n16817 25221\n3028 4554\n2404 3610\n17773 26662\n13249 19914\n12193 18354\n83962 100000\n49379 74056\n47095 70621\n92454 100000\n9975 15026\n10210 15383\n33531 50294\n38711 57999\n41978 62924\n41883 62780\n97938 100000\n8821 13273\n87599 100000\n78298 100000\n93534 100000\n48655 72976\n25288 37909\n83367 100000\n12001 18061\n51997 78001\n1671 2513\n54412 81616\n61778 92684\n48059 72069\n17836 26756\n97905 100000\n79904 100000\n70620 100000\n63251 94903\n55789 83666\n14608 21926\n56883 85327\n21511 32254\n62334 93514\n80048 100000\n14217 21334\n325 474\n68965 100000\n36016 54010\n68777 100000\n76203 100000\n9739 14652\n69493 100000\n80211 100000\n46034 69006\n15377 23082\n1589 2387\n80286 100000\n39357 58961\n51155 76752\n50789 76187\n79950 100000\n20039 30053\n91275 100000\n24985 37458\n49697 74550\n87639 100000\n40475 60650\n55887 83816\n35377 53058\n52063 78100\n98495 100000\n92650 100000\n54024 81049\n8057 12137\n31798 47676\n29880 44796\n77887 100000\n84047 100000\n52377 78568\n62609 93929\n74738 100000\n21988 32997\n14799 22206\n75838 100000\n17056 25590\n51304 76974\n55791 83669\n33021 49534\n35350 53009\n72825 100000\n31706 47537\n84191 100000\n91778 100000\n29333 43978\n51277 76936\n10368 15618\n95320 100000\n99878 100000\n48565 72837\n29969 44931\n15775 23669\n28632 42920\n74258 100000\n96866 100000\n69081 100000\n38365 57493\n44236 66282\n83965 100000\n56077 84096\n92419 100000\n40847 61215\n81104 100000\n74335 100000\n68154 100000\n14559 21850\n80309 100000\n4859 7324\n26369 39542\n33830 50737\n88432 100000\n44759 67074\n92574 100000\n97291 100000\n5208 7857\n54440 81653\n25204 37786\n43317 64913\n82303 100000\n10148 15289\n25939 38897\n45189 67717\n94952 100000\n98606 100000\n32004 47990\n15268 22917\n28409 42586\n98779 100000\n44522 66724\n82061 100000\n28887 43309\n10705 16124\n29416 44108\n26690 40016\n57567 86362\n74669 100000\n96815 100000\n35726 53572\n80625 100000\n16561 24850\n56623 84934\n51475 77220\n71761 100000\n54335 81513\n92532 100000\n42953 64354\n44993 67418\n9045 13612\n40698 60982\n6735 10173\n85865 100000\n94215 100000\n3420 5141\n93595 100000\n77480 100000\n22690 34043\n44290 66366\n52388 78585\n95376 100000\n27194 40761\n91330 100000\n61205 91830\n89271 100000\n16550 24834\n54491 81729\n40994 61443\n64125 96208\n34065 51087\n97579 100000\n34040 51051\n42376 63518\n93963 100000\n58359 87552\n3736 5606\n1880 2815\n14709 22073\n85217 100000\n88892 100000\n1198 1807\n89774 100000\n28255 42357\n44098 66079\n55568 83335\n33611 50408\n96158 100000\n20865 31276\n65304 97954\n22333 33522\n38355 57478\n82082 100000\n42972 64385\n18572 27828\n74468 100000\n87961 100000\n85304 100000\n12971 19502\n43297 64884\n21457 32174\n94687 100000\n64894 97351\n64487 96743\n38480 57664\n53445 80171\n40826 61182\n62260 93403\n36681 55006\n67245 100000\n44077 66048\n36759 55125\n7551 11382\n20041 30057\n48097 72126\n63369 95077\n99757 100000\n18997 28484\n37559 56302\n10038 15124\n6114 9232\n2709 4072\n87492 100000\n46152 69185\n94277 100000\n43762 65570\n9591 14425\n8571 12910\n86494 100000\n17345 26026\n29147 43695\n26727 40068\n34765 52147\n33775 50655\n41494 62190\n48400 72578\n53735 80617\n85369 100000\n2743 4121\n67509 100000\n90424 100000\n55773 83641\n25864 38783\n54229 81349\n41139 61661\n16002 24010\n36039 54044\n56294 84430\n53684 80538\n73713 100000\n39049 58505\n44990 67414\n73164 100000\n19741 29605\n89640 100000\n96745 100000\n55427 83125\n64158 96257\n70543 100000\n14226 21347\n9601 14440\n85002 100000\n31894 47822\n98229 100000\n85376 100000\n69067 100000\n77053 100000\n18482 27696\n76846 100000\n82337 100000\n42287 63384\n38369 57500\n30236 45315\n27339 40976\n84362 100000\n83622 100000\n94569 100000\n46773 70140\n40516 60706\n65317 97970\n45923 68835\n19688 29521\n15799 23702\n10515 15831\n34717 52078\n30533 45768\n67220 100000\n58872 88305\n59956 89959\n70424 100000\n74985 100000\n27954 41909\n55992 83972\n85230 100000\n91478 100000\n30045 45043\n94008 100000\n69312 100000\n27710 41540\n54630 81926\n73786 100000\n40512 60700\n21928 32905\n20337 30492\n56532 84789\n29968 44930\n61212 91840\n44051 66005\n52593 78895\n61190 91805\n86209 100000\n96410 100000\n60253 90405\n38604 57853\n85608 100000\n19332 28986\n6739 10179\n1957 2929\n51024 76558\n14415 21638\n59679 89541\n17396 26100\n37082 55600\n32559 48836\n57014 85527\n75320 100000\n33821 50724\n79235 100000\n42888 64256\n61102 91672\n59327 89004\n24253 36367\n34772 52159\n1899 2843\n17233 25851\n17864 26800\n58237 87373\n88127 100000\n36322 54474\n88179 100000\n83654 100000\n65443 98165\n59258 88897\n25540 38287\n88041 100000\n26528 39773\n36271 54389\n85347 100000\n40751 61065\n3842 5766\n97228 100000\n76317 100000\n41859 62739\n1493 2249\n40320 60419\n87176 100000\n12722 19150\n74114 100000\n12835 19309\n11668 17559\n27427 41107\n60652 90994\n83967 100000\n73334 100000\n97592 100000\n10188 15352\n41277 61860\n33766 50641\n43516 65200\n36234 54331\n21734 32602\n14045 21080\n41678 62470\n43584 65302\n99239 100000\n84805 100000\n70669 100000\n4877 7350\n15318 22987\n40685 60964\n74072 100000\n41013 61475\n69936 100000\n81799 100000\n82151 100000\n70314 100000\n99348 100000\n49207 73789\n45610 68354\n3341 5021\n39957 59877\n44153 66158\n50147 75210\n45158 67671\n84604 100000\n84119 100000\n26256 39378\n21684 32528\n8694 13087\n91232 100000\n19384 29060\n17593 26395\n7686 11584\n74988 100000\n9384 14113\n80082 100000\n74864 100000\n57426 86153\n34503 51746\n91786 100000\n4177 6274\n64440 96678\n39079 58543\n35324 52972\n86536 100000\n15437 23167\n45341 67941\n74827 100000\n2653 3984\n47962 71925\n89532 100000\n98551 100000\n78490 100000\n76325 100000\n76848 100000\n49502 74243\n6126 9248\n41807 62659\n85998 100000\n62362 93558\n9548 14362\n26358 39525\n69672 100000\n22492 33756\n50411 75609\n49905 74846\n52413 78627\n87366 100000\n66512 99769\n8707 13108\n86938 100000\n90171 100000\n2615 3924\n37260 55863\n61447 92191\n28284 42402\n56573 84854\n22406 33630\n13050 19624\n72330 100000\n12860 19338\n6158 9298\n82217 100000\n77117 100000\n67438 100000\n74160 100000\n85078 100000\n47771 71645\n6262 9454\n78057 100000\n4666 7025\n45903 68805\n24492 36722\n12026 18101\n82526 100000\n69903 100000\n36514 54763\n36108 54146\n98761 100000\n88293 100000\n55478 83203\n40107 60102\n70659 100000\n24641 36940\n17622 26436\n71775 100000\n94483 100000\n67408 100000\n10479 15780\n3027 4552\n81570 100000\n15840 23762\n68131 100000\n14191 21296\n95075 100000\n48517 72761\n68587 100000\n79724 100000\n89837 100000\n90243 100000\n53251 79884\n52678 79020\n99147 100000\n8253 12418\n96909 100000\n91828 100000\n8093 12192\n30755 46104\n63033 94583\n46465 69673\n4728 7119\n96854 100000\n68448 100000\n72463 100000\n78634 100000\n95924 100000\n63657 95504\n25926 38879\n86932 100000\n31022 46506\n2037 3049\n13721 20603\n35842 53747\n55750 83604\n43497 65171\n23285 34935\n91354 100000\n36173 54243\n39781 59608\n86002 100000\n66712 100000\n22211 33345\n5530 8340\n86285 100000\n965 1449\n93065 100000\n8923 13425\n97351 100000\n59785 89704\n10073 15176\n6601 9973\n36757 55123\n77020 100000\n54084 81141\n57819 86735\n19905 29851\n71983 100000\n47358 71017\n27904 41835\n9986 15044\n75145 100000\n8628 12994\n38869 58238\n66705 100000\n61673 92524\n84490 100000\n79938 100000\n35035 52543\n84894 100000\n9777 14714\n28711 43040\n88456 100000\n24919 37359\n39040 58492\n99005 100000\n59283 88939\n70355 100000\n50861 76301\n81297 100000\n56254 84366\n93553 100000\n46962 70428\n99551 100000\n58762 88145\n27426 41106\n50213 75310\n4311 6482\n97406 100000\n47968 71932\n84284 100000\n75725 100000\n84399 100000\n64398 96614\n59619 89452\n22862 34304\n2942 4426\n37560 56304\n31056 46557\n10804 16274\n49042 73547\n66002 98998\n78095 100000\n84424 100000\n56377 84552\n89259 100000\n3293 4952\n35025 52528\n90863 100000\n47747 71608\n29830 44723\n64585 96889\n49979 74960\n66838 100000\n84304 100000\n58329 87511\n34699 52054\n76988 100000\n51030 76566\n40204 60245\n6916 10439\n20945 31399\n22659 33998\n65833 98738\n83450 100000\n85241 100000\n55533 83285\n65461 98193\n87014 100000\n34997 52490\n2206 3306\n98412 100000\n81099 100000\n46538 69785\n50001 74994\n85624 100000\n51308 76981\n35523 53272\n7054 10639\n82167 100000\n281 412\n78348 100000\n95568 100000\n29812 44698\n63554 95351\n70852 100000\n98272 100000\n56541 84804\n74838 100000\n43365 64978\n4893 7376\n68005 100000\n61560 92364\n88024 100000\n59876 89835\n96912 100000\n46443 69641\n25014 37502\n65245 97870\n31592 47362\n1996 2988\n14714 22079\n37236 55826\n95017 100000\n3104 4663\n99510 100000\n3390 5093\n38399 57546\n30926 46368\n83100 100000\n45443 68095\n76915 100000\n91390 100000\n75122 100000\n16712 25074\n58940 88411\n26334 39487\n64026 96060\n42135 63159\n26781 40148\n93088 100000\n24039 36055\n75782 100000\n79905 100000\n9970 15018\n75371 100000\n31123 46655\n9161 13782\n85153 100000\n67439 100000\n98267 100000\n84400 100000\n72092 100000\n95120 100000\n31585 47351\n67076 100000\n89809 100000\n35769 53639\n83546 100000\n70767 100000\n99458 100000\n2522 3788\n96261 100000\n14077 21125\n35412 53105\n32541 48809\n72840 100000\n30606 45879\n89786 100000\n47057 70567\n88728 100000\n49989 74975\n59499 89265\n70991 100000\n15722 23594\n24437 36640\n65495 98242\n16888 25330\n57568 86363\n91274 100000\n34290 51419\n18169 27232\n48027 72021\n67577 100000\n7769 11710\n97250 100000\n47808 71702\n26217 39318\n54476 81708\n30037 45033\n24965 37429\n68230 100000\n25508 38240\n72443 100000\n21695 32545\n42294 63393\n27993 41976\n46387 69557\n69565 100000\n75829 100000\n28216 42300\n14730 22101\n83536 100000\n61861 92811\n99726 100000\n86482 100000\n49820 74719\n76190 100000\n52186 78288\n80946 100000\n19880 29812\n57830 86752\n1590 2388\n61095 91662\n57305 85972\n80826 100000\n93881 100000\n51791 77692\n1366 2056\n21052 31565\n40442 60602\n21475 32200\n54481 81715\n99706 100000\n93104 100000\n65932 98887\n47853 71767\n71356 100000\n5333 8051\n90163 100000\n17827 26742\n62602 93920\n87638 100000\n43202 64734\n97604 100000\n32656 48978\n46654 69952\n73969 100000\n31777 47643\n16192 24296\n21773 32667\n91111 100000\n54641 81942\n26586 39856\n11327 17052\n77068 100000\n71531 100000\n12670 19069\n87118 100000\n70287 100000\n16752 25130\n36788 55173\n44732 67033\n35166 52739\n76462 100000\n62641 93980\n3280 4931\n70556 100000\n93600 100000\n18007 27001\n20911 31347\n72526 100000\n1915 2864\n84678 100000\n67879 100000\n50815 76228\n29212 43794\n86028 100000\n88294 100000\n84044 100000\n90713 100000\n90183 100000\n81707 100000\n52849 79271\n8304 12493\n95287 100000\n66750 100000\n67038 100000\n96502 100000\n3139 4720\n14665 22011\n62687 94046\n53010 79513\n64182 96288\n88744 100000\n5294 7990\n34388 51574\n32313 48459\n10994 16558\n63766 95670\n37905 56810\n8517 12827\n6524 9857\n14511 21779\n24684 37005\n70999 100000\n99035 100000\n82194 100000\n99665 100000\n62400 93614\n56267 84387\n67969 100000\n98539 100000\n67864 100000\n65241 97864\n14098 21158\n23568 35355\n90730 100000\n17733 26599\n81636 100000\n6162 9303\n34594 51890\n50040 75051\n34186 51265\n82063 100000\n89110 100000\n25109 37651\n94212 100000\n32524 48783\n9228 13878\n88522 100000\n58759 88140\n36685 55013\n12005 18067\n64080 96139\n62782 94189\n64731 97110\n82835 100000\n23146 34727\n6908 10428\n99110 100000\n21301 31932\n19068 28592\n20587 30881\n18062 27079\n68838 100000\n6096 9206\n65392 98087\n90655 100000\n62364 93561\n73880 100000\n88354 100000\n86608 100000\n72270 100000\n23796 35695\n68421 100000\n47585 71363\n77543 100000\n23311 34979\n43038 64486\n3617 5431\n50369 75543\n17530 26300\n10954 16499\n17020 25531\n71556 100000\n21722 32585\n8341 12549\n46262 69362\n75184 100000\n54914 82345\n18858 28268\n13935 20922\n56742 85108\n97692 100000\n79649 100000\n91353 100000\n80739 100000\n17956 26924\n70507 100000\n87927 100000\n47734 71589\n76101 100000\n18309 27438\n51676 77527\n95464 100000\n45405 68042\n89428 100000\n15922 23885\n79715 100000\n44619 66869\n3749 5626\n45515 68205\n34569 51853\n41343 61954\n39238 58787\n65486 98230\n89614 100000\n85462 100000\n84419 100000\n52323 78491\n56305 84449\n55638 83442\n21479 32207\n28123 42161\n12977 19511\n23920 35877\n11981 18029\n24550 36804\n73497 100000\n81312 100000\n79979 100000\n10760 16206\n91939 100000\n63926 95915\n2138 3205\n54720 82059\n18809 28195\n84579 100000\n953 1430\n15214 22837\n42391 63541\n37490 56201\n53560 80349\n97856 100000\n49834 74738\n4727 7117\n16042 24071\n43576 65289\n59013 88519\n59659 89511\n77578 100000\n57683 86538\n15295 22954\n4257 6403\n61588 92404\n77421 100000\n25285 37905\n90441 100000\n82880 100000\n96318 100000\n85867 100000\n55878 83802\n64663 97008\n35202 52795\n54064 81110\n9728 14636\n23900 35844\n62537 93814\n9364 14084\n74573 100000\n72208 100000\n33285 49926\n49505 74247\n39516 59199\n27777 41637\n6211 9377\n23394 35099\n36033 54034\n85983 100000\n7571 11410\n32171 48242\n37129 55670\n14995 22497\n10969 16519\n80270 100000\n22415 33646\n89088 100000\n76956 100000\n94996 100000\n79075 100000\n81761 100000\n99996 100000\n50884 76338\n63156 94775\n17269 25907\n55721 83563\n35750 53612\n56261 84376\n34131 51184\n67266 100000\n75193 100000\n92657 100000\n723 1080\n42512 63720\n97003 100000\n75444 100000\n99622 100000\n92796 100000\n73495 100000\n46554 69809\n37994 56942\n50576 75856\n65804 98699\n59672 89531\n48604 72898\n60270 90429\n97389 100000\n53170 79761\n15671 23521\n42253 63332\n84910 100000\n68736 100000\n3079 4628\n40758 61077\n71453 100000\n52857 79281\n84761 100000\n83743 100000\n48463 72674\n55780 83652\n10914 16436\n55768 83633\n45174 67696\n30105 45130\n40880 61266\n93338 100000\n44977 67394\n33509 50259\n46267 69370\n4085 6131\n80472 100000\n28365 42520\n60357 90553\n46750 70105\n58843 88267\n76071 100000\n73188 100000\n56723 85077\n20324 30473\n49942 74901\n59663 89517\n27250 40844\n32240 48344\n72557 100000\n73524 100000\n82812 100000\n28791 43156\n96550 100000\n45042 67491\n848 1274\n48433 72629\n6703 10125\n11564 17408\n97200 100000\n46333 69471\n12993 19535\n3443 5181\n89149 100000\n40734 61038\n18520 27752\n41082 61581\n95810 100000\n80912 100000\n52959 79433\n79363 100000\n5020 7571\n27033 40519\n21298 31926\n53953 80938\n74019 100000\n74494 100000\n86367 100000\n31741 47590\n15904 23858\n19760 29631\n80887 100000\n20219 30326\n63323 95008\n37318 55953\n36094 54125\n88811 100000\n96332 100000\n66415 99621\n66353 99530\n53243 79872\n16945 25412\n49034 73535\n49710 74565\n94018 100000\n92102 100000\n98884 100000\n48542 72801\n18539 27783\n80404 100000\n22902 34363\n30207 45273\n70426 100000\n63615 95442\n58555 87838\n35728 53576\n7890 11893\n51962 77943\n73759 100000\n55287 82909\n51569 77366\n54520 81771\n99831 100000\n82874 100000\n58971 88460\n48360 72518\n47172 70737\n39502 59176\n91874 100000\n20407 30597\n27820 41705\n44807 67142\n11587 17446\n28576 42837\n28217 42301\n44820 67160\n86699 100000\n80151 100000\n26594 39868\n92903 100000\n24973 37440\n2731 4103\n7561 11398\n60033 90071\n34888 52325\n96561 100000\n56703 85047\n9044 13611\n51795 77698\n37377 56040\n94766 100000\n9120 13718\n72644 100000\n87460 100000\n62909 94390\n69549 100000\n12447 18730\n95093 100000\n52011 78021\n30502 45718\n9241 13901\n32777 49159\n98776 100000\n14351 21542\n61693 92556\n64255 96400\n71472 100000\n79723 100000\n62053 93092\n10534 15858\n33465 50200\n57614 86434\n68787 100000\n66871 100000\n47888 71819\n16869 25298\n52493 78739\n71581 100000\n8550 12879\n37961 56889\n77679 100000\n52272 78417\n67040 100000\n87039 100000\n95794 100000\n10915 16437\n51704 77570\n50435 75644\n44623 66875\n42911 64292\n72943 100000\n1315 1977\n96788 100000\n3516 5282\n25527 38266\n57619 86442\n71442 100000\n96179 100000\n83850 100000\n84258 100000\n74645 100000\n14343 21532\n49883 74814\n46098 69103\n48376 72542\n43479 65145\n94112 100000\n87897 100000\n20048 30069\n79255 100000\n47754 71619\n55861 83776\n19027 28529\n64986 97488\n28570 42828\n88158 100000\n45563 68277\n13952 20946\n50325 75476\n11367 17114\n68013 100000\n23341 35023\n68719 100000\n44675 66955\n49074 73590\n99579 100000\n6468 9766\n44251 66307\n5396 8145\n45207 67745\n77755 100000\n53685 80540\n92116 100000\n15705 23571\n30205 45271\n44035 65981\n45281 67852\n87635 100000\n95375 100000\n92721 100000\n94335 100000\n37760 56594\n6788 10252\n14499 21761\n86943 100000\n84531 100000\n68258 100000\n19873 29801\n61682 92538\n88659 100000\n8555 12886\n59351 89044\n70493 100000\n22524 33799\n7902 11912\n30458 45648\n93565 100000\n29820 44711\n39657 59411\n3956 5937\n3351 5033\n17376 26068\n80452 100000\n28069 42086\n67605 100000\n26323 39474\n19148 28713\n48240 72344\n70311 100000\n41841 62711\n252 370\n82000 100000\n23059 34599\n43849 65703\n92898 100000\n24580 36849\n64330 96515\n96013 100000\n56949 85424\n57812 86724\n61996 93009\n50301 75440\n6434 9717\n33852 50770\n72436 100000\n21689 32535\n3984 5983\n41626 62392\n71397 100000\n55 84\n14870 22308\n79036 100000\n49941 74900\n46484 69699\n47896 71829\n57414 86135\n13067 19648\n45093 67570\n26266 39392\n89621 100000\n86369 100000\n82234 100000\n91435 100000\n43993 65917\n72989 100000\n54969 82422\n16088 24142\n24182 36266\n44310 66396\n92937 100000\n17611 26421\n86213 100000\n54079 81135\n19909 29855\n7305 11012\n54264 81403\n24154 36224\n97589 100000\n27697 41521\n76283 100000\n36771 55146\n42876 64237\n28111 42144\n77275 100000\n61755 92651\n36475 54703\n82471 100000\n13437 20193\n85753 100000\n95775 100000\n34939 52404\n71896 100000\n6339 9579\n57805 86714\n24558 36816\n21396 32083\n25089 37619\n31338 46980\n97718 100000\n69749 100000\n52428 78647\n38427 57589\n74306 100000\n59859 89812\n44542 66757\n87301 100000\n93854 100000\n60150 90254\n124 186\n39240 58789\n24230 36336\n94446 100000\n34132 51185\n55053 82546\n70600 100000\n31465 47175\n51616 77435\n78310 100000\n7272 10963\n21845 32776\n27173 40729\n5158 7781\n44501 66688\n48783 73162\n15074 22616\n74622 100000\n2616 3925\n99064 100000\n48421 72610\n91803 100000\n39015 58451\n17067 25607\n90476 100000\n63293 94967\n87214 100000\n36795 55184\n74292 100000\n90078 100000\n41136 61657\n87640 100000\n78607 100000\n26612 39895\n27816 41697\n95554 100000\n33528 50289\n20784 31161\n62630 93964\n17147 25727\n14008 21026\n17446 26172\n83632 100000\n76895 100000\n69202 100000\n38126 57133\n48357 72515\n12948 19465\n86299 100000\n50557 75828\n85435 100000\n63953 95952\n84338 100000\n56032 84033\n93391 100000\n91207 100000\n24397 36580\n42923 64310\n65285 97925\n85523 100000\n34361 51533\n50683 76022\n8220 12372\n54178 81273\n54378 81572\n83463 100000\n76290 100000\n51865 77799\n55429 83128\n57404 86123\n42137 63162\n18056 27072\n21720 32582\n53951 80936\n57631 86460\n61408 92135\n36491 54729\n6518 9849\n31483 47202\n28766 43120\n63020 94562\n60343 90534\n90345 100000\n63606 95428\n66725 100000\n16430 24660\n40124 60127\n6670 10076\n18008 27002\n69108 100000\n98707 100000\n21757 32640\n58967 88455\n56875 85315\n64429 96662\n5128 7734\n63489 95259\n23227 34851\n53258 79892\n49195 73772\n59180 88773\n63609 95431\n85995 100000\n46418 69603\n69993 100000\n25587 38360\n96759 100000\n18443 27634\n13280 19957\n96392 100000\n44476 66653\n11425 17200\n90188 100000\n69806 100000\n38888 58266\n40905 61306\n51229 76866\n80173 100000\n47903 71840\n64206 96323\n21266 31882\n97846 100000\n92857 100000\n21936 32919\n54527 81780\n93417 100000\n30837 46231\n96022 100000\n4602 6924\n46591 69861\n38465 57644\n25974 38949\n1061 1593\n50193 75280\n69780 100000\n8172 12305\n1946 2910\n69506 100000\n21978 32981\n22994 34503\n47131 70675\n10289 15497\n90922 100000\n36331 54486\n45078 67547\n3263 4903\n97148 100000\n90806 100000\n50078 75105\n85971 100000\n9340 14047\n12377 18626\n73902 100000\n53365 80040\n66326 99489\n28559 42814\n75934 100000\n68716 100000\n21300 31930\n97635 100000\n45918 68827\n80041 100000\n54383 81577\n6695 10114\n2139 3207\n48251 72362\n51606 77422\n81844 100000\n7429 11197\n24361 36524\n3509 5272\n14015 21036\n97172 100000\n40533 60736\n77839 100000\n5950 8986\n11741 17668\n89495 100000\n75468 100000\n10808 16281\n76313 100000\n65262 97893\n93876 100000\n55788 83665\n87739 100000\n91525 100000\n82805 100000\n72640 100000\n72396 100000\n11701 17609\n95456 100000\n22422 33659\n85885 100000\n26724 40065\n18275 27387\n7981 12027\n88827 100000\n38686 57966\n8443 12713\n26688 40013\n60638 90973\n87229 100000\n75217 100000\n25453 38156\n86309 100000\n58953 88432\n3821 5734\n95667 100000\n73386 100000\n54057 81099\n90350 100000\n19194 28785\n27246 40838\n59942 89937\n61291 91955\n90817 100000\n80364 100000\n82317 100000\n16242 24375\n5812 8764\n46436 69629\n62754 94147\n81116 100000\n34410 51607\n32918 49369\n51462 77202\n4388 6600\n13316 20010\n47411 71099\n60961 91462\n20845 31248\n95640 100000\n40741 61049\n89157 100000\n89547 100000\n50387 75572\n90452 100000\n78695 100000\n98477 100000\n16409 24629\n36824 55228\n62102 93169\n59438 89170\n20596 30895\n66889 100000\n61239 91878\n16324 24505\n25155 37717\n22347 33541\n47963 71927\n44609 66856\n60936 91422\n5578 8417\n85593 100000\n4184 6286\n20388 30570\n76111 100000\n66338 99508\n74133 100000\n36581 54863\n89087 100000\n55365 83029\n23571 35360\n72930 100000\n46725 70065\n69592 100000\n90219 100000\n9436 14196\n44424 66573\n10270 15470\n53030 79543\n44915 67300\n78183 100000\n81391 100000\n29056 43562\n29864 44771\n92859 100000\n64696 97063\n15670 23519\n94906 100000\n5227 7884\n66285 99425\n55965 83934\n25979 38958\n14447 21686\n70539 100000\n94999 100000\n91017 100000\n45650 68420\n43267 64836\n47006 70497\n23459 35191\n76122 100000\n48823 73219\n50389 75574\n67869 100000\n6835 10321\n9461 14235\n17709 26566\n59063 88600\n6492 9807\n9353 14069\n81953 100000\n95829 100000\n61757 92654\n46424 69612\n79051 100000\n91208 100000\n31181 46743\n81045 100000\n42406 63562\n74181 100000\n75356 100000\n81450 100000\n22128 33213\n40729 61030\n52653 78981\n78265 100000\n12406 18668\n37382 56048\n23472 35214\n90588 100000\n96918 100000\n44047 65999\n59215 88832\n10650 16040\n18628 27917\n52919 79377\n81361 100000\n14810 22223\n31379 47044\n15177 22776\n79833 100000\n46845 70252\n37095 55619\n54036 81064\n39629 59368\n87949 100000\n89838 100000\n58744 88121\n62849 94296\n39561 59265\n76086 100000\n36924 55372\n42367 63506\n68885 100000\n98900 100000\n25674 38493\n24345 36504\n28569 42827\n46003 68959\n65289 97930\n97881 100000\n73606 100000\n14246 21374\n44339 66439\n80005 100000\n32613 48913\n17205 25812\n48079 72101\n18896 28327\n77485 100000\n35879 53804\n83608 100000\n81976 100000\n77816 100000\n60008 90039\n38862 58225\n33226 49839\n70075 100000\n61358 92060\n33364 50040\n4317 6493\n14022 21043\n10888 16396\n43529 65221\n83843 100000\n93432 100000\n63100 94687\n97952 100000\n64293 96459\n89285 100000\n94928 100000\n26708 40045\n59144 88722\n44693 66977\n67911 100000\n72182 100000\n49631 74446\n11725 17643\n31217 46796\n13941 20930\n5633 8496\n70912 100000\n36907 55347\n92345 100000\n92284 100000\n30991 46460\n10021 15096\n40680 60955\n65414 98123\n271 398\n92799 100000\n26375 39551\n41000 61454\n54457 81678\n84804 100000\n68367 100000\n83573 100000\n76135 100000\n22707 34068\n60543 90836\n51923 77887\n52904 79356\n10739 16176\n50332 75485\n69264 100000\n91710 100000\n58472 87714\n22200 33325\n2259 3392\n98061 100000\n74359 100000\n51478 77223\n64226 96354\n1762 2640\n52864 79293\n59494 89257\n94802 100000\n87824 100000\n61129 91714\n46602 69878\n44467 66638\n39520 59206\n64942 97421\n63710 95579\n24631 36924\n49088 73607\n68030 100000\n14534 21814\n54288 81438\n90108 100000\n53666 80513\n93853 100000\n36225 54316\n89227 100000\n12450 18735\n53371 80050\n60742 91124\n37070 55584\n27682 41497\n39090 58560\n16327 24508\n44511 66704\n50318 75465\n78703 100000\n35958 53924\n80355 100000\n3789 5685\n60584 90897\n66911 100000\n51568 77365\n9382 14110\n932 1400\n2577 3875\n37556 56297\n47870 71792\n20040 30055\n266 391\n41697 62500\n34476 51704\n58066 87114\n41561 62292\n3537 5310\n51219 76853\n93110 100000\n41011 61471\n29228 43821\n88778 100000\n74079 100000\n25728 38580\n28163 42221\n23080 34630\n35989 53970\n85517 100000\n38400 57547\n68046 100000\n31922 47859\n5625 8484\n41108 61619\n11124 16750\n30507 45726\n45685 68477\n44253 66309\n96740 100000\n50766 76155\n61268 91917\n37590 56347\n73834 100000\n38670 57941\n85477 100000\n63239 94890\n9396 14133\n80360 100000\n87602 100000\n90048 100000\n11339 17068\n21559 32323\n55855 83767\n43472 65136\n51736 77611\n78328 100000\n84205 100000\n69572 100000\n59268 88914\n94451 100000\n51542 77322\n92870 100000\n10491 15796\n78683 100000\n65545 98318\n87133 100000\n31077 46588\n12744 19179\n91721 100000\n45859 68734\n27918 41852\n53492 80243\n10968 16518\n97506 100000\n16868 25296\n52435 78658\n17847 26772\n82496 100000\n24529 36772\n81326 100000\n13390 20120\n34250 51361\n18259 27360\n96319 100000\n60293 90458\n41229 61791\n79457 100000\n91516 100000\n88571 100000\n67557 100000\n39548 59246\n11815 17771\n15928 23894\n40100 60092\n45484 68152\n33380 50064\n15857 23784\n76419 100000\n8092 12190\n37744 56569\n91135 100000\n77911 100000\n10443 15727\n92527 100000\n31065 46570\n28613 42893\n22463 33718\n28150 42204\n24002 35998\n66955 100000\n62606 93926\n85577 100000\n6712 10140\n84070 100000\n99324 100000\n73077 100000\n70628 100000\n33677 50509\n34730 52096\n75963 100000\n39067 58526\n31320 46954\n94848 100000\n58065 87113\n93034 100000\n96733 100000\n44239 66287\n4412 6640\n5061 7633\n94959 100000\n80497 100000\n21841 32769\n13131 19741\n44695 66980\n41403 62048\n51683 77540\n22074 33129\n54333 81509\n18664 27977\n53086 79636\n30104 45128\n14917 22380\n76246 100000\n45391 68019\n32440 48649\n47495 71230\n7998 12049\n45961 68893\n56025 84022\n25661 38474\n83168 100000\n74048 100000\n96201 100000\n47566 71336\n21268 31886\n26577 39843\n97738 100000\n39518 59202\n9481 14264\n89740 100000\n36711 55055\n14002 21016\n4176 6273\n15415 23134\n47330 70979\n42161 63198\n78910 100000\n77644 100000\n37288 55911\n21124 31671\n78924 100000\n68720 100000\n63702 95568\n28701 43025\n38632 57892\n2256 3387\n13875 20834\n8851 13317\n37059 55565\n56744 85111\n96996 100000\n1222 1837\n35069 52592\n88683 100000\n69695 100000\n6023 9097\n99090 100000\n2916 4383\n1632 2452\n98822 100000\n55074 82581\n24590 36861\n11391 17151\n77937 100000\n72804 100000\n48272 72392\n83224 100000\n14970 22463\n86441 100000\n15703 23568\n29619 44408\n30069 45073\n97209 100000\n65913 98857\n12033 18110\n78363 100000\n10323 15551\n85174 100000\n21733 32600\n71760 100000\n54444 81658\n64402 96620\n48971 73440\n89175 100000\n43562 65270\n68385 100000\n24088 36124\n5661 8537\n89917 100000\n99231 100000\n20915 31354\n64431 96666\n87217 100000\n15403 23117\n68732 100000\n53308 79964\n66908 100000\n6103 9215\n94061 100000\n183 272\n42856 64210\n67096 100000\n66182 99271\n90851 100000\n30258 45348\n73950 100000\n30433 45604\n30188 45245\n2287 3434\n41566 62301\n62666 94016\n63288 94959\n1126 1696\n32350 48511\n1514 2281\n20228 30340\n90114 100000\n99321 100000\n97930 100000\n48040 72040\n13960 20956\n30148 45190\n36122 54170\n93705 100000\n28870 43284\n29137 43679\n42206 63261\n49732 74595\n71302 100000\n46508 69736\n27994 41977\n92286 100000\n81415 100000\n74714 100000\n32094 48129\n986 1481\n17765 26649\n7043 10624\n88155 100000\n47522 71267\n81875 100000\n67041 100000\n72141 100000\n68861 100000\n24466 36681\n90852 100000\n96008 100000\n42601 63846\n44019 65955\n76890 100000\n69458 100000\n99459 100000\n77509 100000\n79371 100000\n74068 100000\n37078 55596\n71563 100000\n44496 66682\n62172 93271\n68079 100000\n99967 100000\n25773 38648\n56681 85018\n96919 100000\n80338 100000\n10402 15667\n90040 100000\n85798 100000\n13063 19644\n22358 33557\n7657 11540\n95282 100000\n32108 48148\n24803 37186\n77900 100000\n69176 100000\n91681 100000\n93828 100000\n14770 22161\n52275 78422\n66797 100000\n57293 85955\n43614 65347\n483 720\n14680 22033\n72249 100000\n30646 45934\n89943 100000\n58349 87541\n92294 100000\n20928 31371\n7032 10605\n66741 100000\n37437 56122\n39105 58582\n10407 15675\n44919 67306\n32230 48329\n44810 67146\n56941 85413\n88115 100000\n5293 7988\n78396 100000\n8046 12120\n39876 59755\n7055 10640\n93333 100000\n7268 10957\n82712 100000\n42578 63811\n94125 100000\n81484 100000\n12423 18694\n60299 90468\n71814 100000\n51143 76735\n72796 100000\n42458 63644\n36990 55468\n6406 9676\n44285 66358\n26005 38998\n77297 100000\n87954 100000\n28748 43094\n70737 100000\n68072 100000\n30842 46239\n37419 56099\n64412 96636\n2251 3378\n20000 29998\n15094 22650\n96962 100000\n7408 11164\n34922 52377\n54480 81714\n91341 100000\n48627 72936\n23956 35935\n85206 100000\n65710 98562\n6356 9605\n44631 66887\n8561 12897\n6031 9110\n43589 65312\n30653 45947\n10113 15239\n67226 100000\n16957 25434\n36078 54098\n70888 100000\n96658 100000\n31989 47965\n1881 2817\n25400 38081\n34891 52330\n25135 37688\n56835 85252\n24769 37132\n11799 17747\n50909 76378\n62427 93655\n25685 38512\n7894 11899\n75720 100000\n80592 100000\n48523 72771\n87319 100000\n65232 97850\n27090 40605\n85251 100000\n90144 100000\n71242 100000\n46968 70435\n70250 100000\n3995 5998\n78603 100000\n34006 50997\n51910 77868\n84138 100000\n15631 23463\n67129 100000\n17934 26896\n73938 100000\n72095 100000\n76016 100000\n43160 64667\n54012 81030\n24349 36508\n99892 100000\n19445 29153\n7155 10787\n72228 100000\n46228 69304\n54358 81544\n52279 78427\n66774 100000\n26816 40198\n17501 26256\n11901 17905\n25969 38942\n92953 100000\n51465 77206\n48879 73304\n6776 10233\n95259 100000\n21245 31850\n32534 48797\n47823 71724\n60359 90555\n88438 100000\n48808 73199\n53514 80275\n96694 100000\n51263 76914\n26244 39360\n18670 27986\n88990 100000\n39242 58792\n60179 90298\n26609 39891\n90842 100000\n24004 36001\n55933 83888\n79481 100000\n53760 80655\n59497 89262\n36871 55294\n67151 100000\n75348 100000\n53167 79757\n19779 29657\n81032 100000\n5881 8877\n27613 41398\n24131 36188\n19564 29333\n28993 43465\n78512 100000\n14240 21367\n76103 100000\n62844 94289\n79980 100000\n42133 63155\n44787 67114\n29474 44192\n55994 83974\n11780 17718\n6465 9761\n62710 94078\n41232 61794\n3324 4997\n9420 14170\n75407 100000\n85544 100000\n39623 59361\n72632 100000\n64374 96580\n80038 100000\n70132 100000\n68006 100000\n35629 53432\n99344 100000\n10587 15943\n95846 100000\n64310 96484\n89746 100000\n10463 15754\n36748 55110\n37649 56433\n30194 45253\n87151 100000\n67907 100000\n53679 80532\n13105 19707\n36123 54171\n93503 100000\n2884 4334\n59419 89142\n97099 100000\n97118 100000\n32427 48629\n16851 25270\n38748 58051\n71520 100000\n38396 57542\n73595 100000\n94786 100000\n56709 85057\n59779 89695\n80971 100000\n73054 100000\n10520 15836\n13313 20004\n34359 51530\n29818 44708\n65457 98188\n84920 100000\n56253 84365\n96398 100000\n17818 26729\n9594 14430\n96787 100000\n43761 65569\n59964 89971\n28984 43451\n33030 49547\n90789 100000\n63664 95514\n7157 10790\n20081 30118\n18033 27040\n28441 42635\n42723 64015\n36949 55407\n96329 100000\n85007 100000\n11835 17805\n15099 22656\n95402 100000\n68876 100000\n94850 100000\n41583 62324\n46650 69947\n30299 45408\n68002 100000\n60758 91146\n52402 78609\n79682 100000\n35919 53859\n69520 100000\n32233 48333\n15086 22636\n44974 67388\n5784 8724\n79620 100000\n781 1172\n34834 52248\n27791 41658\n80941 100000\n20869 31283\n35545 53304\n73612 100000\n63655 95500\n73364 100000\n91450 100000\n57485 86242\n71791 100000\n96291 100000\n73438 100000\n15410 23129\n79513 100000\n23374 35072\n74891 100000\n66624 99938\n29581 44349\n71712 100000\n21982 32988\n92138 100000\n86908 100000\n37076 55593\n92958 100000\n46892 70321\n19254 28870\n27690 41510\n65809 98704\n31227 46810\n11653 17537\n89031 100000\n45774 68609\n18107 27142\n72941 100000\n57094 85646\n47251 70859\n21437 32145\n55248 82847\n3816 5726\n83977 100000\n70178 100000\n29855 44760\n81664 100000\n84642 100000\n55238 82829\n27874 41789\n10651 16042\n38728 58023\n21431 32136\n35641 53449\n2019 3022\n47687 71520\n84154 100000\n45706 68512\n33947 50904\n97565 100000\n93754 100000\n34424 51626\n34759 52138\n7482 11277\n50798 76202\n41435 62100\n640 958\n8308 12500\n21417 32114\n98038 100000\n5915 8929\n40690 60972\n46457 69661\n49803 74693\n26684 40007\n99517 100000\n12154 18299\n86695 100000\n89667 100000\n77343 100000\n74794 100000\n88945 100000\n9097 13687\n36874 55299\n40369 60494\n4907 7396\n80546 100000\n89773 100000\n14800 22208\n43559 65266\n45981 68927\n50196 75286\n80574 100000\n57874 86817\n43261 64827\n76152 100000\n75129 100000\n46743 70095\n85084 100000\n85071 100000\n47366 71029\n20126 30185\n83338 100000\n30164 45214\n64358 96557\n28384 42549\n1779 2666\n91808 100000\n61218 91849\n76291 100000\n81641 100000\n30644 45932\n81394 100000\n70886 100000\n8823 13276\n95130 100000\n81084 100000\n58918 88375\n45565 68279\n29067 43576\n76793 100000\n68294 100000\n11475 17278\n97018 100000\n41412 62061\n68839 100000\n18819 28212\n59254 88890\n58125 87206\n18672 27989\n59117 88683\n21725 32589\n1847 2766\n84442 100000\n36358 54524\n49584 74375\n22678 34025\n59355 89050\n92326 100000\n61370 92078\n73093 100000\n37601 56361\n44534 66743\n94713 100000\n97836 100000\n6358 9607\n21551 32312\n51234 76873\n95622 100000\n64867 97308\n12822 19291\n98357 100000\n46628 69917\n26834 40223\n1342 2018\n35123 52669\n13212 19857\n96399 100000\n47321 70961\n49543 74311\n22520 33795\n68339 100000\n67720 100000\n56876 85316\n37683 56482\n20769 31142\n59077 88619\n80961 100000\n20208 30310\n43184 64705\n97622 100000\n84763 100000\n65048 97578\n64797 97202\n82802 100000\n73217 100000\n32027 48028\n96726 100000\n81652 100000\n41764 62599\n66563 99849\n71413 100000\n4936 7443\n97491 100000\n19619 29420\n75363 100000\n24162 36238\n79209 100000\n36864 55284\n9691 14573\n87358 100000\n47340 70993\n92329 100000\n20075 30107\n1103 1659\n55968 83937\n57209 85823\n98793 100000\n61540 92335\n35293 52928\n93991 100000\n60514 90792\n64342 96533\n7608 11466\n71661 100000\n43194 64722\n30907 46336\n97807 100000\n38415 57571\n95330 100000\n48963 73430\n53743 80627\n63790 95706\n89549 100000\n71012 100000\n59256 88893\n49644 74465\n95912 100000\n33160 49746\n33850 50767\n51516 77281\n61937 92923\n92580 100000\n15482 23231\n7589 11435\n64494 96753\n47280 70901\n91448 100000\n79466 100000\n44661 66932\n72032 100000\n20801 31184\n98751 100000\n19012 28507\n70843 100000\n25620 38415\n14319 21493\n52969 79448\n39774 59595\n1986 2974\n37271 55881\n10003 15071\n30464 45658\n47237 70835\n60672 91023\n89336 100000\n27895 41821\n31976 47945\n77405 100000\n64539 96826\n86312 100000\n73160 100000\n36284 54412\n791 1186\n74797 100000\n60332 90516\n9439 14201\n72679 100000\n27642 41439\n81980 100000\n18741 28099\n11466 17265\n76545 100000\n80448 100000\n50327 75479\n40229 60284\n25059 37575\n79512 100000\n2322 3489\n13528 20314\n71623 100000\n51103 76674\n15874 23812\n78393 100000\n98566 100000\n23578 35373\n61126 91710\n52469 78706\n80451 100000\n27261 40862\n15753 23637\n22936 34417\n73792 100000\n9935 14962\n16634 24957\n18153 27208\n44708 67000\n95252 100000\n50944 76432\n19312 28955\n67221 100000\n1830 2742\n61222 91855\n57684 86540\n66555 99836\n83057 100000\n55272 82887\n37605 56367\n16503 24767\n54334 81511\n57004 85510\n50679 76015\n45930 68844\n86093 100000\n86436 100000\n485 723\n58219 87346\n41283 61868\n92151 100000\n1631 2450\n49881 74812\n67579 100000\n89867 100000\n14049 21086\n62938 94436\n24952 37408\n93109 100000\n43390 65014\n82891 100000\n62692 94053\n94844 100000\n40012 59957\n83133 100000\n37671 56465\n18388 27556\n12048 18136\n492 736\n11060 16655\n51931 77899\n35284 52916\n97570 100000\n8859 13329\n41551 62277\n93367 100000\n80703 100000\n88446 100000\n90798 100000\n85988 100000\n34760 52139\n30399 45551\n75855 100000\n65507 98259\n74119 100000\n92282 100000\n28165 42224\n39115 58595\n77 117\n81264 100000\n1789 2681\n24854 37261\n19870 29795\n60449 90693\n25283 37902\n62220 93344\n72168 100000\n53334 79998\n11498 17310\n65379 98068\n79131 100000\n92662 100000\n39936 59845\n20806 31190\n83547 100000\n42044 63021\n17669 26507\n72966 100000\n73560 100000\n16207 24320\n47565 71335\n47946 71902\n69642 100000\n17380 26075\n92498 100000\n91381 100000\n84741 100000\n71978 100000\n61132 91720\n71313 100000\n71408 100000\n37203 55776\n58694 88045\n30310 45424\n64822 97236\n35038 52548\n40421 60571\n6583 9944\n6784 10245\n25682 38507\n49728 74588\n66217 99319\n80016 100000\n96471 100000\n17695 26545\n78681 100000\n4790 7216\n27875 41791\n14042 21075\n2502 3756\n54627 81922\n78686 100000\n51444 77178\n30943 46395\n76174 100000\n35854 53766\n30342 45468\n43438 65085\n28499 42727\n55403 83088\n39463 59117\n68283 100000\n27334 40968\n54065 81112\n39710 59494\n11335 17063\n48239 72342\n11751 17681\n39500 59172\n59142 88719\n37139 55687\n44489 66672\n6112 9229\n7008 10571\n63231 94878\n15794 23696\n29930 44875\n15536 23318\n65965 98937\n69075 100000\n70585 100000\n85952 100000\n86838 100000\n10125 15258\n42249 63325\n36967 55436\n90613 100000\n16124 24194\n86308 100000\n63686 95546\n893 1337\n82770 100000\n5975 9027\n15308 22973\n28658 42960\n98982 100000\n60781 91178\n86083 100000\n13948 20940\n98311 100000\n47730 71585\n64316 96492\n36293 54427\n86623 100000\n70689 100000\n78921 100000\n78377 100000\n70385 100000\n79343 100000\n40406 60549\n38342 57458\n54676 81996\n94967 100000\n38723 58015\n64687 97048\n17628 26444\n84836 100000\n67 102\n38851 58208\n64378 96586\n87713 100000\n14819 22236\n22077 33133\n73260 100000\n43502 65179\n26898 40319\n13871 20828\n73095 100000\n15998 24003\n75459 100000\n24076 36109\n86880 100000\n73734 100000\n75247 100000\n31168 46722\n9435 14195\n9296 13984\n19720 29574\n64263 96412\n46332 69469\n52339 78514\n39546 59244\n32640 48952\n33900 50835\n3583 5382\n14352 21544\n70676 100000\n64644 96980\n32166 48234\n34237 51342\n71338 100000\n38963 58379\n1668 2508\n47654 71472\n75718 100000\n1496 2254\n30303 45413\n62859 94310\n59985 90001\n55239 82831\n56202 84293\n36384 54564\n76525 100000\n51039 76578\n41657 62440\n50091 75124\n47037 70541\n16917 25367\n82139 100000\n34191 51274\n33097 49653\n99093 100000\n10378 15633\n47895 71828\n89806 100000\n49420 74117\n34019 51016\n670 999\n66260 99386\n51262 76912\n74278 100000\n84252 100000\n72638 100000\n5297 7994\n28707 43035\n18002 26992\n69740 100000\n29992 44968\n9047 13615\n92724 100000\n41258 61830\n8666 13045\n28072 42090\n10643 16030\n91748 100000\n16861 25287\n21034 31531\n42648 63916\n70059 100000\n6363 9616\n39291 58860\n9888 14884\n75376 100000\n25071 37593\n30049 45047\n77271 100000\n11016 16592\n85221 100000\n95036 100000\n93869 100000\n94690 100000\n18582 27842\n83684 100000\n34243 51351\n93321 100000\n84706 100000\n71718 100000\n70636 100000\n87190 100000\n88668 100000\n97326 100000\n59957 89960\n83806 100000\n74489 100000\n28647 42942\n57600 86413\n59350 89042\n48199 72280\n62693 94054\n8554 12884\n6347 9592\n21273 31893\n36227 54319\n31448 47152\n85345 100000\n76117 100000\n58656 87991\n28578 42839\n58758 88139\n91870 100000\n74404 100000\n56787 85180\n68423 100000\n50649 75963\n42642 63907\n10647 16035\n50748 76129\n21649 32469\n9717 14617\n95255 100000\n45338 67937\n51612 77431\n30252 45340\n4439 6683\n29952 44908\n81343 100000\n73842 100000\n57895 86849\n28627 42912\n9694 14579\n44671 66948\n59328 89005\n44337 66436\n27507 41231\n63476 95241\n34128 51179\n75167 100000\n30457 45647\n15668 23516\n93570 100000\n67377 100000\n2753 4136\n34058 51076\n32026 48027\n66528 99794\n41448 62118\n13715 20594\n91651 100000\n70332 100000\n23451 35181\n32604 48901\n18500 27724\n39511 59191\n55399 83082\n41889 62790\n11723 17640\n91869 100000\n8266 12436\n27196 40763\n31801 47681\n14585 21891\n16549 24832\n63863 95816\n41101 61607\n45067 67531\n93351 100000\n93293 100000\n43126 64619\n20964 31426\n16019 24034\n91954 100000\n49014 73504\n5936 8965\n69092 100000\n5745 8662\n63296 94971\n47999 71976\n83826 100000\n42048 63026\n15429 23156\n41650 62431\n44345 66447\n15651 23491\n578 868\n45090 67566\n12378 18628\n82960 100000\n42988 64408\n52061 78097\n11988 18039\n54602 81889\n88595 100000\n75798 100000\n19202 28797\n63075 94647\n46153 69187\n86963 100000\n85615 100000\n11433 17213\n52005 78015\n72364 100000\n93512 100000\n40356 60476\n310 454\n64715 97092\n27900 41829\n80651 100000\n38008 56961\n32657 48980\n21540 32296\n57884 86833\n78109 100000\n29995 44974\n87532 100000\n77748 100000\n33537 50300\n71439 100000\n16838 25252\n91947 100000\n48907 73351\n7330 11047\n89119 100000\n35320 52965\n9388 14119\n7578 11419\n88410 100000\n3455 5199\n82160 100000\n59353 89046\n86869 100000\n41335 61943\n93020 100000\n18990 28473\n22779 34177\n66410 99615\n17290 25940\n69660 100000\n40866 61241\n55078 82587\n7011 10574\n75014 100000\n6003 9071\n96355 100000\n15853 23779\n60651 90992\n82573 100000\n77892 100000\n42664 63938\n66793 100000\n34271 51390\n44570 66802\n67841 100000\n38807 58139\n97515 100000\n62736 94120\n22338 33529\n52473 78711\n60637 90971\n80503 100000\n33685 50521\n89918 100000\n15636 23470\n19660 29479\n33275 49909\n62633 93969\n26682 40004\n18652 27958\n55005 82472\n66233 99341\n97617 100000\n88630 100000\n47183 70753\n9640 14502\n95812 100000\n38282 57370\n50010 75006\n51538 77316\n51500 77256\n98914 100000\n89489 100000\n17808 26714\n55860 83774\n10503 15813\n883 1324\n59377 89082\n10919 16444\n10550 15882\n58165 87262\n54367 81558\n84697 100000\n27178 40736\n19843 29752\n76873 100000\n49218 73807\n78273 100000\n96849 100000\n45046 67495\n18956 28418\n9182 13813\n16661 24998\n22243 33392\n70832 100000\n92331 100000\n28832 43223\n18863 28275\n5729 8639\n46274 69382\n26685 40008\n32460 48681\n73737 100000\n73808 100000\n65206 97814\n14364 21562\n98675 100000\n52222 78341\n33834 50743\n48162 72224\n67044 100000\n71052 100000\n19594 29380\n42469 63659\n19187 28773\n87811 100000\n17008 25510\n24586 36855\n25273 37887\n22342 33535\n11253 16946\n37992 56939\n67153 100000\n54301 81459\n78843 100000\n92157 100000\n56152 84214\n88298 100000\n63634 95468\n67560 100000\n37899 56800\n82252 100000\n44272 66338\n73665 100000\n91171 100000\n16471 24720\n27093 40610\n92579 100000\n54116 81185\n25167 37734\n28937 43381\n1294 1946\n22497 33761\n30700 46019\n78942 100000\n75222 100000\n93840 100000\n57159 85748\n88575 100000\n66483 99726\n45630 68390\n7445 11222\n70515 100000\n51897 77847\n25159 37721\n53061 79592\n36040 54045\n6429 9710\n60451 90696\n20925 31367\n31782 47653\n37251 55848\n58873 88307\n4251 6392\n74742 100000\n87935 100000\n12960 19484\n79572 100000\n70939 100000\n59804 89731\n93879 100000\n25964 38935\n59316 88989\n37529 56256\n9616 14464\n88759 100000\n31607 47386\n7149 10779\n13328 20029\n70847 100000\n42840 64187\n70950 100000\n25029 37529\n19522 29269\n6991 10549\n39723 59516\n64661 97004\n31762 47620\n32433 48638\n86683 100000\n69808 100000\n27756 41606\n69581 100000\n3202 4811\n25305 37936\n62592 93903\n71601 100000\n18164 27224\n86262 100000\n88386 100000\n66019 99024\n59829 89767\n34452 51666\n84133 100000\n45342 67943\n25207 37792\n2393 3594\n49471 74193\n78016 100000\n82854 100000\n4922 7420\n62703 94068\n33984 50965\n77608 100000\n93712 100000\n39815 59658\n84192 100000\n15102 22660\n16021 24037\n9991 15053\n98533 100000\n85190 100000\n33835 50745\n52742 79112\n12536 18865\n1146 1729\n11256 16950\n56096 84124\n59878 89839\n56574 84855\n2457 3688\n69283 100000\n22958 34450\n36506 54750\n89812 100000\n72747 100000\n67674 100000\n76502 100000\n31899 47828\n40732 61034\n31869 47785\n25983 38966\n7151 10782\n58223 87351\n44960 67370\n53620 80445\n24610 36891\n9358 14075\n38990 58417\n32390 48570\n29958 44916\n66025 99035\n11131 16762\n13987 20994\n99955 100000\n54013 81031\n63179 94810\n18261 27364\n21996 33009\n95595 100000\n81177 100000\n17176 25770\n52706 79062\n46227 69302\n53554 80341\n29910 44842\n6012 9081\n7130 10751\n90967 100000\n52667 79002\n16463 24709\n81558 100000\n21313 31947\n8819 13271\n63384 95101\n21610 32404\n90237 100000\n20143 30209\n43743 65542\n96145 100000\n90724 100000\n61394 92113\n38573 57809\n98529 100000\n62056 93097\n20269 30400\n51298 76967\n96310 100000\n11614 17486\n10401 15666\n52317 78482\n87660 100000\n21491 32224\n68997 100000\n76674 100000\n19017 28514\n74471 100000\n54498 81740\n71366 100000\n21883 32840\n96921 100000\n21983 32989\n76800 100000\n23345 35029\n85495 100000\n53646 80482\n35084 52615\n4083 6129\n15331 23010\n33625 50430\n32537 48802\n37711 56519\n11703 17612\n21655 32479\n65524 98286\n90801 100000\n48081 72105\n91355 100000\n81367 100000\n30807 46186\n27858 41766\n95170 100000\n28568 42826\n7927 11948\n87575 100000\n87558 100000\n37964 56893\n73756 100000\n64381 96589\n88497 100000\n65483 98225\n23995 35989\n34437 51643\n65418 98128\n77676 100000\n34337 51493\n3371 5064\n29323 43962\n74378 100000\n98765 100000\n83263 100000\n24616 36901\n55996 83977\n39698 59476\n96224 100000\n28417 42598\n24218 36316\n1208 1818\n83820 100000\n25770 38642\n76423 100000\n58356 87549\n98505 100000\n59615 89446\n80598 100000\n98614 100000\n93543 100000\n64546 96835\n55367 83032\n4461 6715\n42906 64282\n13356 20072\n48429 72622\n74078 100000\n64282 96441\n43495 65168\n38962 58377\n22918 34389\n87503 100000\n89463 100000\n43095 64571\n34665 51997\n33142 49720\n58668 88010\n58190 87299\n38590 57834\n81308 100000\n98720 100000\n54023 81048\n11745 17674\n96558 100000\n98970 100000\n95600 100000\n83557 100000\n5286 7977\n23215 34832\n93226 100000\n37325 55961\n38265 57345\n88980 100000\n27662 41467\n50403 75597\n69214 100000\n80506 100000\n74024 100000\n47325 70969\n67581 100000\n70841 100000\n39487 59152\n49721 74578\n59596 89417\n11461 17258\n9908 14917\n15013 22526\n82102 100000\n15357 23052\n5296 7993\n34162 51232\n37044 55544\n71006 100000\n7111 10720\n15098 22654\n17031 25551\n17489 26240\n74644 100000\n89371 100000\n82129 100000\n83082 100000\n16126 24196\n46649 69946\n7091 10691\n12933 19441\n30999 46471\n95631 100000\n19793 29679\n61226 91861\n47738 71593\n62151 93244\n76095 100000\n68124 100000\n27252 40847\n54453 81672\n93297 100000\n97801 100000\n40132 60140\n91590 100000\n94888 100000\n76155 100000\n49540 74306\n11665 17555\n45350 67955\n48259 72374\n12339 18573\n89296 100000\n21633 32443\n51401 77119\n34966 52449\n59583 89394\n49095 73619\n95789 100000\n51873 77812\n99545 100000\n89102 100000\n67072 100000\n87688 100000\n92204 100000\n66878 100000\n75852 100000\n73065 100000\n1242 1868\n92103 100000\n39464 59119\n72553 100000\n43546 65248\n50039 75049\n12488 18795\n61993 93004\n24599 36875\n19387 29065\n36483 54713\n66589 99885\n3233 4857\n250 366\n2838 4264\n58723 88089\n63872 95832\n20279 30413\n68140 100000\n12865 19347\n80434 100000\n1138 1717\n52202 78313\n3700 5553\n50329 75481\n98604 100000\n73824 100000\n69652 100000\n5593 8438\n77279 100000\n51776 77670\n36478 54707\n60453 90699\n98513 100000\n76454 100000\n60575 90886\n9902 14906\n90109 100000\n31778 47645\n66915 100000\n31231 46815\n4231 6360\n67139 100000\n88403 100000\n45852 68724\n356 521\n35442 53149\n37334 55975\n55253 82854\n31187 46751\n35525 53274\n66347 99521\n93329 100000\n90867 100000\n40756 61074\n49685 74530\n97543 100000\n13667 20520\n32246 48354\n55519 83265\n25559 38314\n93941 100000\n40112 60111\n43947 65848\n14719 22085\n38637 57897\n74735 100000\n81749 100000\n31528 47267\n99974 100000\n73554 100000\n73422 100000\n54240 81366\n57183 85786\n37471 56171\n7255 10937\n64209 96328\n60819 91234\n7464 11249\n47972 71936\n12861 19340\n99559 100000\n42690 63973\n56511 84753\n54338 81516\n72836 100000\n56018 84011\n87389 100000\n90628 100000\n70492 100000\n84553 100000\n32090 48124\n8331 12535\n98508 100000\n75023 100000\n36936 55391\n54172 81265\n81827 100000\n77232 100000\n89964 100000\n19396 29077\n15435 23165\n68433 100000\n19787 29670\n49324 73971\n96526 100000\n43701 65480\n54519 81770\n55027 82509\n55229 82813\n28807 43183\n56751 85122\n44811 67147\n53152 79734\n42517 63727\n63262 94921\n66758 100000\n85571 100000\n75914 100000\n68078 100000\n12421 18692\n69609 100000\n66362 99545\n2031 3041\n98110 100000\n10541 15867\n13550 20350\n83890 100000\n18078 27102\n66841 100000\n73658 100000\n89193 100000\n46509 69737\n32628 48936\n71410 100000\n99752 100000\n97867 100000\n96931 100000\n22578 33881\n51445 77179\n70850 100000\n50365 75536\n81798 100000\n32041 48050\n92373 100000\n28175 42238\n9557 14377\n60301 90472\n32689 49025\n66027 99039\n37573 56326\n56659 84988\n13169 19797\n11774 17711\n37047 55548\n42617 63871\n73365 100000\n51218 76852\n77154 100000\n16083 24134\n95416 100000\n88235 100000\n73172 100000\n62674 94028\n8833 13289\n13348 20059\n61566 92372\n8320 12517\n22194 33316\n13594 20410\n87914 100000\n308 451\n8036 12103\n42831 64171\n46292 69409\n30413 45572\n7823 11791\n92789 100000\n68414 100000\n72948 100000\n52740 79110\n45438 68087\n16773 25158\n76528 100000\n36262 54376\n32916 49366\n13892 20861\n83124 100000\n89114 100000\n29514 44254\n39207 58737\n33643 50458\n5260 7936\n37305 55935\n44335 66434\n6615 9990\n58658 87994\n59893 89862\n62804 94222\n40095 60085\n48102 72134\n18973 28448\n75008 100000\n82607 100000\n810 1216\n2734 4108\n59926 89910\n27199 40768\n36468 54693\n16803 25201\n92360 100000\n62117 93193\n44364 66475\n30869 46280\n10963 16511\n38968 58388\n89137 100000\n77665 100000\n96816 100000\n6037 9120\n44172 66189\n6008 9076\n92807 100000\n28819 43201\n30302 45412\n3572 5365\n11090 16701\n58911 88363\n69366 100000\n50515 75766\n4309 6479\n70645 100000\n69374 100000\n72000 100000\n51260 76909\n20122 30179\n12846 19322\n6720 10152\n4420 6651\n64104 96178\n59706 89581\n53878 80828\n43727 65518\n95404 100000\n22947 34432\n54736 82085\n53708 80576\n15620 23445\n90049 100000\n45059 67518\n53649 80487\n97049 100000\n83588 100000\n48342 72491\n17949 26916\n70319 100000\n10707 16127\n8365 12589\n63380 95094\n61427 92161\n6677 10089\n54699 82029\n33078 49622\n59404 89120\n79501 100000\n50569 75847\n37266 55872\n64854 97287\n40493 60673\n15761 23649\n80576 100000\n31233 46818\n50107 75146\n75887 100000\n45641 68406\n22457 33712\n41520 62232\n33580 50363\n38003 56955\n97296 100000\n30710 46032\n23293 34950\n55056 82552\n45194 67725\n78625 100000\n94208 100000\n70942 100000\n7791 11743\n69974 100000\n24395 36577\n81518 100000\n15080 22626\n73429 100000\n13784 20692\n18385 27552\n3654 5486\n34060 51080\n91054 100000\n17783 26677\n36775 55153\n95643 100000\n57720 86594\n89218 100000\n313 458\n8629 12996\n23343 35027\n93151 100000\n14790 22190\n38490 57681\n10731 16165\n61530 92316\n15728 23603\n8708 13110\n28098 42126\n80725 100000\n83371 100000\n97553 100000\n82543 100000\n18751 28113\n16858 25281\n2426 3641\n74609 100000\n5986 9045\n14634 21963\n70451 100000\n20586 30880\n7632 11501\n69357 100000\n56588 84881\n78927 100000\n32722 49078\n96518 100000\n2534 3808\n44848 67205\n31952 47904\n57585 86389\n43797 65623\n72781 100000\n50130 75184\n3318 4989\n54848 82250\n29573 44340\n6707 10131\n10955 16500\n7159 10793\n89403 100000\n51332 77021\n42589 63828\n25805 38694\n69206 100000\n27548 41295\n7213 10871\n16468 24717\n24734 37082\n79277 100000\n90947 100000\n66039 99055\n24658 36967\n67270 100000\n53505 80262\n98396 100000\n18139 27189\n72807 100000\n38886 58263\n58660 87997\n54018 81040\n88159 100000\n27335 40970\n67119 100000\n68778 100000\n57038 85564\n99847 100000\n13258 19926\n41393 62030\n6649 10042\n33808 50703\n80635 100000\n84347 100000\n95336 100000\n37284 55904\n80726 100000\n74758 100000\n99302 100000\n38297 57394\n30585 45848\n83257 100000\n54868 82279\n11138 16770\n25095 37629\n1616 2425\n37240 55832\n73912 100000\n76281 100000\n21412 32105\n35950 53912\n63078 94652\n22656 33994\n43672 65438\n15155 22742\n14229 21350\n92146 100000\n45219 67762\n60679 91034\n26640 39942\n6836 10323\n41822 62683\n17779 26670\n88597 100000\n16609 24919\n51896 77845\n5439 8207\n32186 48264\n15351 23043\n32933 49393\n35003 52499\n59335 89017\n98273 100000\n41341 61951\n87145 100000\n42760 64067\n39509 59187\n14996 22499\n13243 19903\n76209 100000\n29167 43727\n49097 73622\n54887 82306\n41347 61962\n14159 21249\n58334 87517\n95754 100000\n44235 66281\n59387 89096\n54629 81925\n95872 100000\n62864 94318\n91225 100000\n20210 30313\n60691 91055\n57800 86708\n85103 100000\n80219 100000\n67794 100000\n98091 100000\n65280 97919\n99115 100000\n22693 34046\n95972 100000\n38258 57335\n93060 100000\n74091 100000\n2875 4320\n24956 37412\n65493 98239\n645 965\n92999 100000\n65748 98619\n71999 100000\n92809 100000\n43737 65534\n83905 100000\n33493 50237\n43698 65474\n83334 100000\n22055 33103\n82705 100000\n17821 26732\n39069 58529\n94626 100000\n47920 71864\n96359 100000\n53577 80379\n16152 24233\n26602 39880\n41550 62275\n42628 63887\n38294 57389\n27636 41431\n85820 100000\n32719 49072\n88960 100000\n42317 63429\n7940 11968\n65689 98535\n16760 25140\n5788 8729\n97706 100000\n57363 86062\n10989 16550\n32175 48248\n14441 21674\n58258 87404\n84881 100000\n35291 52926\n8393 12632\n90242 100000\n93014 100000\n43641 65390\n46529 69770\n75766 100000\n95374 100000\n69412 100000\n57887 86836\n583 875\n21391 32075\n69212 100000\n62870 94326\n63717 95592\n78316 100000\n99286 100000\n39605 59333\n53101 79659\n64954 97440\n53755 80648\n67672 100000\n48510 72752\n1624 2438\n53785 80691\n15173 22768\n6694 10112\n35321 52967\n8603 12956\n49075 73591\n62410 93630\n98170 100000\n24015 36017\n25030 37531\n3193 4796\n64626 96954\n63736 95623\n5529 8339\n30827 46217\n28249 42349\n16494 24754\n2717 4086\n51375 77085\n94868 100000\n2583 3884\n61168 91773\n65396 98094\n21274 31894\n3441 5177\n73803 100000\n79091 100000\n16402 24618\n3854 5783\n32445 48657\n84008 100000\n26701 40033\n21361 32026\n23663 35502\n86174 100000\n20568 30849\n71853 100000\n37566 56314\n35686 53513\n28654 42953\n74293 100000\n1026 1544\n64935 97411\n92872 100000\n22416 33648\n62437 93670\n44306 66391\n7046 10628\n29991 44966\n74950 100000\n84829 100000\n5118 7720\n40770 61097\n74578 100000\n55927 83878\n78911 100000\n12600 18961\n64725 97103\n13095 19692\n98428 100000\n4210 6324\n74994 100000\n10865 16364\n14944 22421\n79002 100000\n97839 100000\n85756 100000\n19242 28852\n32730 49089\n15065 22602\n33600 50394\n14433 21663\n76341 100000\n25812 38706\n4820 7261\n64734 97115\n62677 94032\n94642 100000\n91906 100000\n23342 35025\n16432 24664\n22107 33179\n82843 100000\n9452 14220\n26019 39018\n33416 50121\n92845 100000\n85432 100000\n30485 45695\n31084 46596\n84366 100000\n52721 79084\n50760 76146\n43833 65678\n81897 100000\n20668 30994\n31838 47738\n12342 18578\n39088 58557\n91331 100000\n86979 100000\n5156 7779\n8575 12917\n62338 93521\n35894 53825\n70938 100000\n44191 66217\n84801 100000\n22307 33485\n16122 24191\n64383 96592\n38024 56984\n53948 80931\n71039 100000\n13415 20160\n74936 100000\n33125 49694\n89304 100000\n41559 62289\n75039 100000\n74649 100000\n43971 65885\n98053 100000\n56006 83992\n52119 78185\n7162 10796\n14475 21725\n35328 52977\n69336 100000\n37495 56210\n61045 91584\n18189 27259\n86404 100000\n24900 37331\n85424 100000\n24859 37269\n12061 18157\n12306 18522\n20373 30547\n91175 100000\n91804 100000\n72256 100000\n30423 45586\n96405 100000\n29315 43950\n5351 8077\n24534 36781\n37119 55654\n52962 79437\n77545 100000\n73523 100000\n65916 98860\n79149 100000\n41652 62434\n98307 100000\n97461 100000\n24365 36530\n18366 27522\n73683 100000\n16619 24936\n24592 36865\n15960 23944\n66638 99961\n57665 86510\n12870 19355\n6138 9266\n63781 95692\n58052 87094\n80846 100000\n90071 100000\n53637 80470\n57483 86240\n79654 100000\n18256 27356\n13367 20088\n74238 100000\n71222 100000\n6400 9668\n23008 34524\n57765 86660\n20891 31316\n76333 100000\n96440 100000\n56614 84922\n33597 50389\n17544 26320\n3037 4566\n76049 100000\n72434 100000\n15027 22546\n66926 100000\n25195 37776\n11115 16738\n44356 66462\n55079 82588\n84100 100000\n57794 86700\n63253 94906\n49940 74898\n98215 100000\n64509 96779\n35146 52707\n12470 18767\n20650 30971\n15556 23347\n92412 100000\n32001 47985\n31523 47260\n63601 95420\n64232 96364\n81452 100000\n59991 90012\n84555 100000\n57025 85544\n99753 100000\n53132 79705\n35961 53929\n12029 18104\n73779 100000\n10585 15939\n79212 100000\n47425 71118\n75460 100000\n72229 100000\n84288 100000\n29642 44442\n45860 68735\n10293 15502\n92381 100000\n79623 100000\n5327 8041\n13317 20012\n16469 24718\n73618 100000\n22129 33215\n91898 100000\n6236 9418\n18347 27495\n69586 100000\n17182 25778\n43999 65926\n23072 34619\n59130 88700\n32052 48068\n29065 43573\n14479 21730\n50498 75741\n13827 20761\n48008 71991\n59230 88856\n33474 50214\n53148 79728\n43694 65468\n42817 64150\n64548 96837\n81493 100000\n66499 99750\n73297 100000\n67155 100000\n14160 21251\n888 1331\n20868 31281\n10603 15969\n11344 17077\n28056 42070\n37434 56119\n12240 18427\n36407 54599\n6634 10020\n98147 100000\n24557 36815\n73437 100000\n33111 49674\n52578 78874\n83755 100000\n75899 100000\n54534 81788\n77149 100000\n10216 15392\n79195 100000\n90727 100000\n86037 100000\n46886 70312\n97042 100000\n15808 23716\n91643 100000\n90811 100000\n88141 100000\n63172 94800\n38034 56998\n46425 69613\n14521 21793\n22373 33579\n28895 43323\n74935 100000\n54905 82331\n70697 100000\n68558 100000\n38132 57142\n72579 100000\n17191 25791\n44796 67127\n53617 80439\n34462 51683\n62376 93580\n80104 100000\n61207 91832\n95925 100000\n54450 81667\n35064 52587\n23437 35160\n20351 30512\n19846 29756\n55291 82917\n72684 100000\n49112 73644\n27238 40824\n3497 5256\n18030 27034\n58293 87457\n25589 38363\n61928 92910\n41340 61950\n15694 23555\n15026 22545\n7739 11671\n47606 71396\n19462 29178\n31807 47692\n64159 96259\n7538 11360\n92390 100000\n19330 28984\n27779 41639\n30625 45907\n84837 100000\n96772 100000\n69059 100000\n67399 100000\n43247 64803\n64056 96106\n42794 64120\n90903 100000\n13252 19917\n32873 49302\n53553 80339\n79549 100000\n60775 91169\n84480 100000\n62772 94173\n13527 20313\n71700 100000\n66174 99258\n87915 100000\n38311 57413\n70157 100000\n52408 78618\n99931 100000\n23891 35831\n1627 2443\n93737 100000\n55767 83632\n96546 100000\n89447 100000\n40560 60777\n498 745\n63341 95035\n28768 43122\n69456 100000\n551 828\n57644 86479\n49838 74743\n38287 57377\n88 132\n83167 100000\n71540 100000\n52496 78743\n15866 23800\n62901 94377\n36093 54123\n65246 97872\n91604 100000\n90855 100000\n27870 41783\n48550 72812\n61111 91687\n2855 4288\n47929 71879\n491 735\n37194 55762\n89513 100000\n47617 71413\n138 207\n86756 100000\n44134 66131\n92461 100000\n69335 100000\n39424 59061\n31634 47428\n74451 100000\n93414 100000\n39353 58955\n52266 78408\n4462 6717\n51651 77489\n21912 32881\n44004 65933\n46568 69826\n82499 100000\n53549 80331\n20682 31014\n70709 100000\n31221 46801\n89903 100000\n48901 73341\n48148 72201\n532 798\n52041 78065\n66098 99149\n38698 57983\n17999 26987\n25744 38603\n41998 62954\n84086 100000\n83882 100000\n35106 52645\n37949 56872\n72892 100000\n49487 74219\n57828 86750\n62987 94512\n1089 1636\n39340 58933\n13076 19661\n35017 52518\n21705 32557\n98814 100000\n13957 20952\n99702 100000\n71541 100000\n92348 100000\n70511 100000\n34929 52388\n21155 31716\n88692 100000\n82691 100000\n3969 5957\n22110 33184\n43048 64501\n11830 17796\n97121 100000\n59744 89642\n81185 100000\n73654 100000\n60764 91154\n13855 20802\n75776 100000\n99662 100000\n83140 100000\n17272 25911\n70471 100000\n20570 30852\n95437 100000\n63164 94788\n40651 60913\n54634 81931\n97215 100000\n65812 98708\n62215 93334\n57275 85926\n42168 63206\n9225 13875\n18914 28350\n81638 100000\n44640 66900\n6812 10286\n87796 100000\n50967 76470\n78414 100000\n98367 100000\n9152 13767\n81200 100000\n94514 100000\n53507 80266\n29324 43964\n56513 84756\n17091 25642\n55879 83804\n38055 57028\n7507 11313\n23515 35280\n55595 83376\n38171 57201\n17058 25592\n462 688\n29704 44537\n91204 100000\n98362 100000\n25102 37640\n18944 28397\n93280 100000\n51400 77117\n1452 2185\n21934 32915\n86917 100000\n16159 24245\n32065 48087\n56998 85500\n6530 9865\n38151 57170\n69541 100000\n73844 100000\n44260 66319\n92671 100000\n60525 90809\n25107 37649\n32500 48744\n69702 100000\n46229 69306\n50978 76489\n8010 12066\n8169 12299\n73852 100000\n66827 100000\n38634 57894\n12996 19541\n8009 12064\n69712 100000\n74271 100000\n18384 27550\n90422 100000\n76714 100000\n99929 100000\n95220 100000\n49748 74616\n69025 100000\n82909 100000\n94529 100000\n82687 100000\n98154 100000\n62360 93555\n86020 100000\n50723 76088\n89714 100000\n59452 89191\n93899 100000\n59481 89233\n57359 86056\n36567 54844\n64156 96254\n44630 66885\n7922 11940\n24744 37096\n76513 100000\n62153 93246\n1510 2275\n61214 91843\n13181 19815\n34309 51449\n85953 100000\n43816 65650\n8680 13068\n80370 100000\n57718 86592\n11649 17532\n61375 92085\n76983 100000\n11718 17634\n32725 49082\n47551 71316\n65004 97516\n75859 100000\n53296 79948\n3508 5271\n94961 100000\n46946 70403\n71569 100000\n84624 100000\n20098 30144\n97842 100000\n25140 37695\n74253 100000\n95292 100000\n22012 33037\n22136 33224\n95615 100000\n56571 84851\n95363 100000\n57781 86685\n30157 45204\n79030 100000\n11567 17413\n63659 95506\n591 888\n3573 5366\n50281 75411\n47149 70702\n92897 100000\n97860 100000\n2319 3484\n94915 100000\n13361 20080\n62941 94441\n67398 100000\n37842 56717\n63580 95388\n96711 100000\n23452 35183\n62465 93710\n52641 78964\n28537 42782\n26597 39873\n49130 73671\n44183 66205\n52050 78081\n41879 62774\n99701 100000\n27700 41526\n57908 86871\n72667 100000\n20739 31097\n28778 43134\n75171 100000\n34380 51564\n15038 22562\n19104 28648\n2378 3573\n57127 85702\n60444 90687\n89306 100000\n54193 81294\n35841 53746\n51253 76899\n62533 93809\n28523 42760\n51603 77418\n2020 3024\n33602 50397\n28081 42103\n73637 100000\n47719 71567\n45914 68821\n5030 7584\n75170 100000\n89379 100000\n68678 100000\n41434 62099\n67623 100000\n1264 1901\n21006 31488\n69557 100000\n34898 52342\n41702 62508\n1391 2093\n49245 73848\n38476 57659\n19441 29145\n76575 100000\n92536 100000\n22818 34237\n46391 69562\n20707 31048\n30915 46350\n47846 71758\n27345 40985\n75731 100000\n6702 10124\n84720 100000\n39716 59503\n14582 21887\n34245 51354\n47184 70755\n92221 100000\n26532 39778\n1730 2597\n81346 100000\n47976 71942\n86751 100000\n97096 100000\n63582 95390\n26551 39806\n40902 61301\n17323 25991\n68183 100000\n48991 73470\n90783 100000\n91487 100000\n20504 30745\n76131 100000\n61678 92531\n91340 100000\n75375 100000\n47397 71078\n95011 100000\n79203 100000\n23176 34770\n81402 100000\n62476 93728\n51514 77278\n86736 100000\n8806 13252\n67656 100000\n93661 100000\n82855 100000\n37563 56309\n89729 100000\n67890 100000\n76836 100000\n8982 13514\n40574 60796\n49743 74610\n40908 61311\n50073 75097\n78872 100000\n54972 82426\n9598 14436\n22852 34290\n54082 81139\n68849 100000\n85015 100000\n23355 35045\n45892 68784\n59792 89713\n46813 70201\n63350 95047\n50385 75568\n42948 64348\n45177 67701\n15310 22976\n35534 53286\n21514 32259\n25186 37761\n29458 44166\n97223 100000\n17071 25614\n13959 20955\n52659 78991\n30470 45667\n9564 14387\n43624 65361\n63589 95400\n27127 40662\n3468 5215\n14407 21625\n38838 58189\n41456 62131\n81916 100000\n86426 100000\n38625 57884\n84630 100000\n56592 84888\n95533 100000\n54350 81534\n72162 100000\n97704 100000\n69400 100000\n14291 21450\n32389 48569\n70228 100000\n38460 57637\n58037 87072\n38615 57870\n96349 100000\n71582 100000\n28719 43052\n72035 100000\n79365 100000\n84060 100000\n27036 40523\n74523 100000\n2214 3319\n7871 11865\n81962 100000\n27932 41873\n81131 100000\n5668 8548\n73536 100000\n85398 100000\n55324 82964\n79103 100000\n25657 38469\n16596 24901\n33133 49706\n13697 20564\n77131 100000\n77650 100000\n50626 75930\n42496 63694\n88928 100000\n79233 100000\n31803 47684\n75501 100000\n15586 23393\n46873 70292\n33430 50145\n61493 92259\n11095 16711\n4914 7407\n71724 100000\n53905 80868\n71852 100000\n51352 77052\n46619 69902\n47865 71784\n27327 40957\n14182 21283\n72245 100000\n93394 100000\n85229 100000\n92946 100000\n86235 100000\n5388 8133\n12760 19201\n1469 2211\n8452 12723\n31159 46706\n68243 100000\n21377 32051\n22100 33167\n53499 80252\n95334 100000\n80096 100000\n8065 12150\n35780 53654\n57505 86272\n71839 100000\n16729 25097\n60413 90637\n18695 28028\n42080 63073\n52798 79195\n98166 100000\n44275 66343\n26788 40156\n70913 100000\n86939 100000\n40383 60514\n52120 78187\n8471 12755\n85695 100000\n92450 100000\n39699 59477\n52834 79248\n24850 37255\n73959 100000\n93006 100000\n1593 2392\n40970 61406\n71805 100000\n25684 38510\n26301 39440\n81995 100000\n90313 100000\n89971 100000\n20135 30196\n56464 84686\n22198 33321\n59290 88947\n94732 100000\n18786 28165\n25345 37993\n40169 60197\n23401 35109\n41589 62336\n84308 100000\n93287 100000\n24771 37136\n66079 99119\n15737 23613\n34711 52070\n34559 51835\n87675 100000\n59138 88712\n74563 100000\n42936 64329\n94871 100000\n42254 63334\n44520 66720\n3339 5018\n61442 92185\n90861 100000\n71336 100000\n41722 62537\n53259 79894\n60331 90514\n43845 65696\n1197 1806\n94299 100000\n64686 97047\n2029 3037\n90404 100000\n59113 88677\n55111 82638\n16441 24678\n18104 27138\n13582 20393\n20968 31431\n27341 40980\n16534 24810\n10839 16325\n52526 78791\n43248 64804\n79047 100000\n34320 51466\n76079 100000\n23677 35521\n93891 100000\n89321 100000\n31472 47186\n18594 27864\n72115 100000\n66928 100000\n16349 24541\n37891 56788\n45308 67894\n34932 52392\n34043 51056\n56418 84615\n16605 24913\n92695 100000\n46352 69502\n62911 94392\n82275 100000\n15809 23718\n62022 93049\n40433 60588\n24134 36194\n43714 65498\n9023 13577\n72801 100000\n74625 100000\n93653 100000\n96548 100000\n80223 100000\n99352 100000\n38793 58120\n76121 100000\n28053 42067\n75077 100000\n68900 100000\n3937 5913\n80874 100000\n29142 43687\n29441 44143\n30089 45105\n21516 32262\n67945 100000\n73752 100000\n35645 53453\n45710 68519\n2294 3445\n61562 92367\n78477 100000\n31224 46805\n99066 100000\n38533 57748\n85073 100000\n24794 37173\n45850 68721\n88044 100000\n89949 100000\n9150 13764\n52150 78234\n63860 95813\n75337 100000\n20777 31152\n39233 58780\n65430 98144\n73630 100000\n61135 91724\n26499 39731\n55946 83907\n18943 28395\n37612 56377\n82455 100000\n35988 53968\n7588 11434\n48047 72052\n31135 46672\n31529 47268\n35833 53734\n19858 29774\n8504 12804\n15491 23245\n51226 76861\n4530 6811\n37697 56500\n75850 100000\n891 1334\n81197 100000\n97806 100000\n6612 9987\n71826 100000\n71732 100000\n74900 100000\n14341 21529\n23702 35556\n7440 11215\n6209 9374\n17597 26401\n43293 64878\n26118 39174\n8370 12597\n98356 100000\n36517 54767\n7747 11682\n11684 17581\n88458 100000\n34130 51183\n88462 100000\n11063 16660\n44230 66273\n1400 2105\n91983 100000\n30158 45205\n80283 100000\n40927 61337\n15687 23543\n38165 57190\n92654 100000\n7344 11067\n7209 10867\n60728 91107\n77843 100000\n28878 43295\n86417 100000\n56564 84839\n51452 77189\n55414 83106\n37628 56401\n81683 100000\n58396 87603\n43485 65153\n43266 64835\n45984 68930\n23821 35726\n6605 9978\n89611 100000\n91630 100000\n98001 100000\n6342 9584\n99498 100000\n78035 100000\n80976 100000\n76081 100000\n94966 100000\n84585 100000\n17103 25659\n41503 62204\n60112 90194\n38188 57225\n69552 100000\n46641 69935\n73907 100000\n84549 100000\n96131 100000\n78645 100000\n60438 90677\n74588 100000\n51057 76608\n7122 10737\n20361 30529\n53193 79799\n55671 83490\n69757 100000\n83898 100000\n45567 68283\n65080 97625\n61112 91689\n57608 86426\n95145 100000\n66701 100000\n12217 18391\n24078 36112\n75047 100000\n18764 28131\n83266 100000\n40472 60645\n2619 3931\n7818 11784\n80904 100000\n9283 13965\n53583 80389\n37063 55573\n30995 46465\n80178 100000\n95321 100000\n99872 100000\n14169 21264\n34026 51026\n37701 56507\n57362 86060\n91856 100000\n98941 100000\n12212 18384\n90819 100000\n88898 100000\n50965 76466\n18494 27716\n36671 54994\n49814 74710\n88776 100000\n91714 100000\n91395 100000\n3029 4555\n20782 31159\n70575 100000\n71352 100000\n21113 31653\n66639 99963\n26111 39163\n47347 71001\n23948 35920\n70771 100000\n21152 31710\n68663 100000\n55142 82688\n52676 79016\n19474 29197\n54354 81539\n13776 20681\n3140 4722\n29044 43545\n58064 87112\n78256 100000\n15628 23458\n52900 79349\n7974 12018\n99772 100000\n59633 89473\n38270 57353\n89162 100000\n27962 41922\n4300 6466\n59538 89326\n84557 100000\n66340 99511\n9664 14536\n71816 100000\n92503 100000\n14789 22189\n49400 74088\n91913 100000\n32564 48843\n92067 100000\n93459 100000\n80949 100000\n86243 100000\n97473 100000\n75943 100000\n97262 100000\n27650 41452\n99768 100000\n99269 100000\n29475 44194\n32899 49343\n16426 24654\n66714 100000\n7292 10992\n25319 37956\n61145 91740\n14134 21212\n85581 100000\n82196 100000\n66311 99468\n4134 6207\n8007 12062\n70692 100000\n4562 6862\n54901 82325\n73474 100000\n78141 100000\n37206 55779\n58099 87167\n44971 67384\n37554 56295\n64073 96128\n47629 71435\n45307 67893\n23278 34926\n75018 100000\n49065 73580\n71689 100000\n39708 59490\n28589 42854\n95236 100000\n95941 100000\n97794 100000\n8919 13418\n36313 54461\n15190 22796\n91609 100000\n69984 100000\n21026 31519\n81571 100000\n12826 19297\n81626 100000\n12776 19224\n74185 100000\n25785 38666\n98651 100000\n85779 100000\n43151 64652\n31827 47721\n70201 100000\n97175 100000\n46480 69693\n7203 10858\n4554 6851\n64479 96733\n89256 100000\n27447 41136\n96299 100000\n96463 100000\n65114 97679\n3867 5802\n91434 100000\n9926 14946\n28406 42581\n79158 100000\n58987 88483\n28285 42403\n72746 100000\n15977 23969\n34965 52447\n60793 91194\n7770 11712\n58321 87500\n12411 18675\n47841 71750\n87299 100000\n22909 34376\n92435 100000\n46373 69535\n4469 6726\n43140 64638\n96254 100000\n27861 41771\n32115 48158\n48052 72060\n1679 2525\n9709 14604\n30500 45716\n79005 100000\n96384 100000\n33305 49953\n89043 100000\n91219 100000\n10796 16260\n51690 77549\n74677 100000\n34443 51652\n45870 68748\n98669 100000\n2756 4141\n45661 68440\n5896 8901\n39787 59616\n13963 20961\n59321 88995\n26437 39643\n43744 65544\n31977 47946\n95703 100000\n97838 100000\n67685 100000\n15050 22580\n36450 54664\n70992 100000\n22432 33672\n85748 100000\n69795 100000\n35175 52752\n23940 35910\n26226 39331\n42237 63305\n84237 100000\n54648 81950\n63552 95349\n9440 14203\n30223 45295\n76285 100000\n25211 37798\n46937 70389\n20583 30875\n905 1356\n2004 2999\n59092 88643\n45677 68464\n50522 75777\n51681 77536\n25437 38134\n54677 81997\n29422 44116\n23871 35802\n60238 90384\n47457 71169\n67189 100000\n65297 97943\n89963 100000\n32800 49195\n99945 100000\n40591 60824\n57029 85550\n44921 67308\n6895 10409\n70239 100000\n75182 100000\n12887 19378\n71870 100000\n65549 98322\n67132 100000\n37968 56900\n18295 27414\n2104 3155\n18244 27337\n60372 90574\n37806 56665\n99208 100000\n43655 65412\n50262 75380\n21346 32002\n18453 27650\n97834 100000\n33666 50495\n64579 96880\n51793 77694\n18407 27585\n30610 45885\n32398 48584\n10606 15974\n28616 42898\n62044 93079\n56988 85488\n19882 29815\n26756 40110\n72167 100000\n72635 100000\n19769 29644\n74859 100000\n4333 6519\n75432 100000\n9833 14799\n27949 41899\n54685 82007\n9684 14564\n77396 100000\n24217 36315\n21750 32627\n18340 27484\n21563 32329\n40193 60232\n87570 100000\n9984 15040\n16244 24377\n96994 100000\n31326 46963\n85479 100000\n69915 100000\n67448 100000\n9706 14598\n72423 100000\n6477 9782\n81803 100000\n23679 35524\n95409 100000\n91915 100000\n96803 100000\n38110 57108\n28130 42171\n51803 77710\n82245 100000\n69641 100000\n6847 10338\n38839 58191\n72690 100000\n92914 100000\n81671 100000\n72259 100000\n3352 5035\n1363 2051\n34825 52236\n28229 42319\n9783 14724\n53142 79720\n73668 100000\n27581 41346\n9383 14111\n15179 22779\n91099 100000\n3408 5121\n67957 100000\n61050 91593\n93860 100000\n82758 100000\n68613 100000\n50043 75056\n52212 78327\n75613 100000\n45771 68605\n66925 100000\n5307 8011\n17394 26096\n6574 9931\n82767 100000\n65226 97842\n32316 48463\n77946 100000\n85289 100000\n99893 100000\n43771 65583\n35059 52580\n56086 84110\n34610 51914\n26976 40432\n41586 62330\n70798 100000\n19944 29906\n68889 100000\n60998 91515\n35782 53657\n5557 8381\n40542 60748\n42100 63105\n10933 16465\n116 174\n95077 100000\n68513 100000\n86810 100000\n88256 100000\n82555 100000\n1354 2039\n94921 100000\n71707 100000\n21818 32736\n31573 47334\n54797 82168\n58473 87716\n24249 36362\n8432 12695\n76334 100000\n39748 59552\n85915 100000\n72559 100000\n42306 63411\n89727 100000\n8475 12761\n25064 37583\n37696 56499\n97353 100000\n29000 43476\n75354 100000\n47778 71655\n93802 100000\n33354 50024\n93788 100000\n61381 92092\n73983 100000\n13039 19608\n97964 100000\n22770 34163\n58734 88106\n39730 59526\n10855 16351\n45359 67972\n65115 97681\n91192 100000\n81514 100000\n2660 3995\n30770 46126\n3640 5466\n66679 100000\n5714 8620\n23275 34921\n87510 100000\n76506 100000\n18471 27679\n83509 100000\n75431 100000\n38619 57875\n36546 54813\n25566 38327\n52726 79091\n54724 82065\n20535 30794\n64161 96262\n44625 66878\n7627 11493\n71495 100000\n5716 8623\n47069 70583\n25718 38565\n37604 56366\n41095 61598\n83184 100000\n25625 38423\n86146 100000\n29649 44452\n70695 100000\n17243 25867\n61255 91900\n91449 100000\n21953 32944\n75813 100000\n68545 100000\n92715 100000\n32785 49173\n13262 19932\n97984 100000\n90325 100000\n84012 100000\n47861 71776\n20077 30111\n91596 100000\n31351 46999\n18760 28127\n69298 100000\n91845 100000\n62830 94268\n73420 100000\n4377 6581\n5344 8067\n48979 73453\n95584 100000\n50886 76342\n42688 63970\n45794 68639\n19228 28830\n24869 37283\n33703 50547\n6119 9238\n90716 100000\n88355 100000\n13170 19799\n42633 63895\n18633 27926\n99965 100000\n88805 100000\n27328 40958\n86194 100000\n32219 48313\n47463 71178\n32576 48858\n90608 100000\n67048 100000\n28769 43123\n59227 88851\n96728 100000\n1056 1586\n30636 45921\n37053 55558\n6766 10218\n54137 81214\n69350 100000\n24926 37368\n23690 35540\n79245 100000\n19379 29053\n13320 20016\n95741 100000\n33515 50268\n54703 82034\n22427 33666\n33791 50677\n8992 13529\n12338 18571\n47844 71754\n21141 31694\n17841 26765\n25252 37856\n42928 64318\n76918 100000\n25819 38717\n9286 13971\n83215 100000\n26805 40181\n98141 100000\n413 609\n68576 100000\n14288 21444\n9721 14624\n78124 100000\n79721 100000\n72783 100000\n35850 53761\n3320 4991\n49807 74699\n90164 100000\n59484 89239\n98017 100000\n74525 100000\n17039 25564\n45395 68025\n75890 100000\n86760 100000\n62748 94139\n29918 44855\n81395 100000\n94457 100000\n47074 70591\n87959 100000\n11772 17709\n41306 61899\n39662 59420\n29637 44434\n14754 22141\n64267 96417\n17068 25609\n46921 70365\n89535 100000\n59356 89052\n52293 78447\n14973 22466\n57664 86508\n92504 100000\n69832 100000\n17607 26415\n48033 72029\n39488 59154\n69542 100000\n19459 29174\n93603 100000\n20604 30907\n77950 100000\n58562 87851\n2984 4483\n54313 81478\n73727 100000\n81717 100000\n92401 100000\n59471 89219\n83379 100000\n53113 79679\n23756 35639\n99779 100000\n22341 33533\n10714 16140\n27175 40732\n57886 86835\n82509 100000\n38740 58039\n16168 24260\n67351 100000\n80781 100000\n29827 44719\n23947 35919\n25627 38425\n55227 82809\n77652 100000\n40336 60444\n20765 31136\n38537 57753\n97120 100000\n32140 48196\n54346 81530\n54588 81867\n77944 100000\n35287 52920\n94108 100000\n44165 66177\n62646 93987\n8002 12055\n70677 100000\n9510 14304\n66154 99230\n96917 100000\n34027 51028\n81243 100000\n82860 100000\n53463 80200\n93454 100000\n27424 41103\n45797 68643\n43868 65729\n21666 32497\n10186 15349\n88484 100000\n51634 77466\n45389 68016\n78054 100000\n23829 35737\n78030 100000\n78225 100000\n36838 55248\n47361 71023\n76430 100000\n59364 89062\n38096 57087\n87988 100000\n83073 100000\n93738 100000\n95713 100000\n52527 78793\n36452 54667\n32809 49207\n32724 49080\n88601 100000\n82642 100000\n38456 57632\n76096 100000\n98845 100000\n55173 82733\n20762 31132\n81784 100000\n3086 4638\n13260 19928\n64450 96694\n24312 36455\n28503 42733\n35041 52552\n1776 2661\n12390 18645\n42064 63050\n40210 60254\n76323 100000\n47113 70647\n41635 62408\n47652 71469\n66105 99159\n28362 42516\n35676 53500\n12191 18350\n58141 87228\n32117 48162\n56161 84227\n61063 91614\n39773 59593\n51587 77391\n23781 35673\n43288 64870\n9089 13677\n92627 100000\n80059 100000\n84155 100000\n25534 38277\n97608 100000\n99739 100000\n65259 97890\n78357 100000\n94929 100000\n86463 100000\n28119 42156\n13425 20175\n53714 80583\n62083 93141\n44296 66377\n94576 100000\n91594 100000\n1800 2694\n50917 76391\n19110 28658\n23987 35978\n86994 100000\n52345 78524\n32523 48782\n7116 10729\n87096 100000\n30741 46081\n55974 83947\n23081 34631\n9110 13703\n22562 33858\n67721 100000\n9463 14238\n36008 53998\n76745 100000\n26169 39247\n3570 5362\n6968 10517\n65828 98730\n3496 5255\n29350 44002\n49672 74509\n62094 93156\n99294 100000\n84683 100000\n56452 84665\n16575 24872\n3944 5921\n83099 100000\n32998 49499\n69275 100000\n96457 100000\n45085 67559\n21018 31507\n71679 100000\n32380 48556\n89368 100000\n43796 65621\n45557 68269\n40230 60286\n99305 100000\n38361 57487\n97052 100000\n1461 2199\n87837 100000\n56855 85285\n84943 100000\n62403 93619\n19432 29132\n67713 100000\n77115 100000\n40619 60865\n73609 100000\n14088 21140\n33500 50248\n73539 100000\n28449 42646\n42783 64103\n72672 100000\n44322 66415\n94536 100000\n96867 100000\n20088 30130\n58443 87676\n67836 100000\n78497 100000\n87741 100000\n95083 100000\n45912 68818\n78389 100000\n41775 62614\n64775 97172\n3323 4996\n42556 63780\n34840 52257\n3992 5995\n42225 63288\n64728 97106\n12145 18283\n48850 73260\n829 1244\n44510 66703\n95122 100000\n7677 11570\n48218 72310\n82749 100000\n8547 12876\n75933 100000\n47908 71847\n27996 41980\n49762 74638\n67517 100000\n60498 90768\n88792 100000\n49372 74046\n95328 100000\n7225 10889\n7375 11112\n25594 38372\n67103 100000\n73923 100000\n76886 100000\n3185 4784\n95154 100000\n7570 11409\n27819 41703\n79412 100000\n53370 80048\n61528 92313\n58952 88431\n77030 100000\n4810 7245\n95461 100000\n58282 87440\n30893 46316\n65085 97632\n95833 100000\n35012 52511\n10465 15757\n94030 100000\n61460 92212\n40268 60342\n90644 100000\n78343 100000\n61833 92768\n44008 65938\n35622 53421\n14679 22031\n93430 100000\n75109 100000\n66581 99875\n64761 97153\n52109 78170\n25875 38798\n3794 5693\n37588 56345\n56613 84921\n24453 36665\n45323 67917\n6514 9843\n2972 4464\n79676 100000\n13357 20073\n8565 12901\n96132 100000\n64927 97400\n54263 81401\n38642 57904\n95930 100000\n89449 100000\n99268 100000\n44902 67285\n70610 100000\n71394 100000\n19562 29330\n55517 83262\n94354 100000\n61491 92257\n3683 5529\n24074 36106\n54851 82255\n53766 80666\n53689 80546\n46164 69204\n97226 100000\n82748 100000\n5428 8193\n45638 68401\n90245 100000\n3059 4598\n68021 100000\n33699 50541\n35379 53060\n86663 100000\n5600 8448\n81447 100000\n34481 51714\n47678 71507\n763 1141\n59902 89874\n63528 95314\n10834 16316\n78371 100000\n34313 51454\n6460 9753\n21848 32781\n70285 100000\n81966 100000\n64706 97077\n30492 45705\n51325 77009\n63683 95541\n86543 100000\n90949 100000\n81889 100000\n67956 100000\n81344 100000\n32105 48143\n92150 100000\n10579 15931\n14011 21031\n57306 85973\n33796 50684\n35711 53547\n77922 100000\n10223 15402\n40663 60931\n64514 96786\n68879 100000\n72854 100000\n30459 45650\n34093 51128\n61158 91759\n89140 100000\n67445 100000\n2469 3706\n65409 98115\n19209 28806\n16394 24608\n73310 100000\n84142 100000\n24269 36391\n25212 37799\n83677 100000\n70445 100000\n83537 100000\n93376 100000\n34548 51819\n62579 93883\n84375 100000\n33917 50858\n55361 83022\n28630 42916\n84834 100000\n9615 14463\n19949 29914\n30290 45395\n40287 60373\n50362 75531\n25800 38685\n39414 59046\n45226 67773\n62960 94471\n92240 100000\n36698 55032\n69354 100000\n97069 100000\n76689 100000\n74203 100000\n7119 10733\n917 1376\n71436 100000\n11347 17082\n15707 23575\n16947 25416\n15049 22579\n68486 100000\n43880 65748\n14026 21050\n81112 100000\n53974 80970\n14259 21394\n43966 65877\n42372 63513\n78279 100000\n1404 2112\n67838 100000\n27845 41746\n77077 100000\n12733 19165\n35992 53974\n26449 39659\n65142 97720\n22232 33379\n18711 28055\n13906 20882\n18140 27190\n53187 79790\n77587 100000\n57595 86405\n64273 96425\n82948 100000\n77102 100000\n94697 100000\n1833 2746\n23813 35718\n5051 7620\n56778 85164\n46905 70340\n53655 80496\n49746 74613\n45936 68854\n31004 46479\n64861 97297\n80150 100000\n80179 100000\n62731 94113\n78177 100000\n98129 100000\n91839 100000\n39417 59051\n8752 13170\n57382 86090\n74023 100000\n90668 100000\n99241 100000\n50294 75429\n91963 100000\n89247 100000\n28679 42992\n45205 67742\n7421 11183\n61276 91930\n42686 63968\n25472 38185\n87341 100000\n98447 100000\n74904 100000\n30779 46141\n51174 76781\n69674 100000\n73158 100000\n92490 100000\n49856 74773\n22175 33286\n1500 2261\n16113 24179\n96390 100000\n23996 35990\n71626 100000\n68998 100000\n5648 8518\n68817 100000\n14231 21352\n14969 22461\n22306 33483\n9505 14299\n39913 59806\n63206 94847\n66746 100000\n86646 100000\n30904 46332\n38358 57483\n90194 100000\n53512 80272\n81295 100000\n51940 77913\n73399 100000\n78217 100000\n2677 4023\n27732 41571\n95319 100000\n525 786\n37234 55822\n5995 9058\n87337 100000\n83550 100000\n45775 68611\n20509 30755\n78615 100000\n48721 73071\n83909 100000\n64501 96765\n64955 97442\n56799 85198\n8114 12220\n14450 21691\n81988 100000\n31479 47196\n75064 100000\n5673 8555\n90570 100000\n7904 11915\n63704 95570\n45435 68083\n49947 74908\n70005 100000\n66776 100000\n25760 38626\n38255 57330\n64258 96405\n21908 32874\n84248 100000\n79600 100000\n81379 100000\n34225 51324\n64622 96946\n56189 84275\n56694 85036\n67227 100000\n65646 98468\n61103 91673\n59504 89273\n30021 45008\n79183 100000\n49470 74191\n15475 23222\n19927 29882\n71624 100000\n9696 14583\n66464 99698\n82503 100000\n77993 100000\n35105 52643\n61867 92820\n35914 53852\n18616 27897\n67712 100000\n61880 92839\n76354 100000\n82038 100000\n1961 2935\n40973 61410\n7617 11480\n21677 32518\n40254 60321\n65577 98366\n90658 100000\n28532 42774\n34865 52293\n38509 57713\n6269 9467\n43218 64760\n92726 100000\n15020 22535\n21660 32487\n34909 52360\n48722 73073\n86643 100000\n46416 69600\n91246 100000\n32096 48131\n57084 85634\n28637 42926\n38057 57032\n45137 67639\n77348 100000\n45424 68069\n86159 100000\n11764 17697\n16171 24264\n93725 100000\n15474 23221\n69746 100000\n66314 99472\n39306 58882\n597 896\n39706 59487\n79333 100000\n60385 90593\n3784 5677\n83768 100000\n50593 75883\n21623 32427\n36519 54771\n49053 73564\n1240 1866\n84413 100000\n83857 100000\n45737 68554\n63805 95731\n85198 100000\n17330 26003\n62970 94486\n366 536\n16195 24301\n76752 100000\n47899 71835\n45276 67846\n80620 100000\n63516 95297\n420 621\n72751 100000\n80174 100000\n13346 20057\n37501 56217\n46289 69405\n67317 100000\n60058 90114\n2902 4359\n53483 80229\n48184 72259\n85390 100000\n10314 15535\n2348 3532\n62454 93693\n83942 100000\n53301 79955\n46527 69766\n95340 100000\n69922 100000\n40867 61243\n59900 89872\n74187 100000\n38547 57767\n99567 100000\n56186 84269\n6576 9933\n88245 100000\n62944 94446\n69269 100000\n98542 100000\n1722 2585\n67358 100000\n81042 100000\n35216 52814\n34177 51251\n62752 94145\n20105 30155\n99523 100000\n73924 100000\n10009 15079\n88781 100000\n28260 42366\n25954 38920\n81819 100000\n55670 83489\n70248 100000\n2347 3530\n29206 43785\n49343 73999\n41333 61940\n49904 74845\n41072 61565\n82597 100000\n21961 32956\n18829 28225\n57077 85623\n91205 100000\n88128 100000\n91397 100000\n52644 78969\n29636 44433\n38253 57327\n21565 32332\n70914 100000\n32101 48138\n7072 10664\n37482 56188\n35696 53526\n1106 1664\n71783 100000\n71901 100000\n24151 36218\n87401 100000\n1724 2588\n59118 88684\n88909 100000\n10152 15296\n64952 97436\n25179 37749\n91042 100000\n43383 65004\n36571 54849\n7177 10819\n81212 100000\n59604 89428\n61294 91960\n98744 100000\n56627 84941\n38730 58025\n11195 16858\n17771 26658\n79442 100000\n91764 100000\n82695 100000\n90469 100000\n14704 22065\n49833 74737\n63298 94973\n90213 100000\n47431 71128\n12346 18584\n41141 61664\n77206 100000\n16584 24885\n44659 66929\n40344 60457\n42943 64339\n7234 10904\n98066 100000\n19579 29357\n2939 4421\n92668 100000\n99245 100000\n44774 67095\n57784 86689\n3302 4966\n22701 34059\n75614 100000\n16942 25407\n75939 100000\n93487 100000\n60891 91354\n71022 100000\n94036 100000\n92403 100000\n30692 46007\n70549 100000\n85415 100000\n37262 55866\n9948 14984\n342 499\n94173 100000\n53155 79739\n74929 100000\n54693 82020\n32746 49113\n77245 100000\n93659 100000\n62028 93057\n97823 100000\n36718 55068\n43002 64429\n44505 66694\n28334 42476\n3434 5164\n63455 95207\n78021 100000\n64145 96237\n32134 48185\n82126 100000\n48016 72003\n97697 100000\n94716 100000\n46832 70228\n94371 100000\n34031 51035\n71800 100000\n91268 100000\n70073 100000\n82171 100000\n14702 22063\n15888 23833\n65536 98304\n15822 23736\n53675 80527\n94070 100000\n9087 13674\n75863 100000\n47637 71447\n99906 100000\n92790 100000\n37826 56691\n58718 88081\n61642 92479\n87292 100000\n57133 85711\n69673 100000\n40164 60187\n24070 36101\n53854 80793\n77517 100000\n33423 50133\n97620 100000\n49113 73645\n78088 100000\n3184 4782\n76339 100000\n51927 77894\n51268 76922\n92397 100000\n57925 86898\n56807 85208\n12791 19247\n49057 73569\n12614 18981\n19322 28971\n60089 90161\n30771 46127\n7342 11064\n2427 3642\n38215 57267\n3147 4734\n2989 4492\n64149 96242\n60100 90177\n71715 100000\n8996 13535\n25066 37587\n6322 9552\n67321 100000\n20808 31192\n20729 31083\n20502 30742\n68676 100000\n21177 31752\n35152 52718\n69588 100000\n2310 3471\n63682 95540\n52923 79382\n72808 100000\n71638 100000\n41709 62517\n90891 100000\n42898 64272\n96999 100000\n81831 100000\n40003 59945\n37267 55874\n27289 40901\n51559 77348\n74126 100000\n47075 70593\n45167 67686\n30108 45134\n66608 99913\n69386 100000\n51772 77664\n21810 32725\n20892 31317\n1725 2590\n88423 100000\n24895 37324\n93467 100000\n3367 5059\n80062 100000\n43801 65628\n60507 90782\n53420 80128\n69265 100000\n89698 100000\n74102 100000\n22024 33056\n75495 100000\n23246 34879\n41939 62861\n28425 42611\n44611 66858\n13373 20098\n48775 73150\n62572 93871\n67188 100000\n69028 100000\n53441 80164\n5746 8663\n6224 9397\n80606 100000\n55235 82823\n70858 100000\n37184 55747\n44237 66283\n96669 100000\n75638 100000\n7239 10914\n86620 100000\n54081 81138\n66500 99751\n80770 100000\n19144 28707\n13315 20008\n57050 85581\n96258 100000\n50508 75756\n88420 100000\n65703 98555\n95739 100000\n83250 100000\n2575 3872\n86406 100000\n51742 77618\n81396 100000\n6685 10099\n31357 47009\n9626 14479\n6683 10097\n20691 31026\n46020 68985\n2669 4011\n75905 100000\n43043 64493\n92831 100000\n6156 9295\n91749 100000\n13610 20433\n69035 100000\n21682 32525\n17746 26619\n71092 100000\n23778 35669\n890 1333\n41888 62788\n51586 77390\n79554 100000\n62453 93691\n89682 100000\n95921 100000\n15389 23098\n50732 76104\n87807 100000\n61471 92227\n95907 100000\n87415 100000\n79181 100000\n85825 100000\n84377 100000\n69488 100000\n976 1465\n33570 50348\n8425 12685\n98618 100000\n29639 44437\n85240 100000\n28859 43267\n78952 100000\n48841 73245\n16508 24775\n1920 2871\n52508 78762\n21388 32069\n41571 62309\n86700 100000\n63885 95849\n18410 27590\n99168 100000\n54188 81286\n47067 70580\n43706 65488\n5436 8202\n85963 100000\n17982 26959\n8349 12561\n63577 95384\n38445 57617\n98380 100000\n77283 100000\n2095 3141\n44790 67117\n53920 80892\n72056 100000\n28669 42976\n85780 100000\n9753 14673\n33688 50526\n93397 100000\n1006 1510\n37820 56681\n19118 28668\n99354 100000\n21280 31901\n77792 100000\n6054 9146\n15035 22557\n56117 84158\n95463 100000\n34853 52276\n30229 45306\n46447 69646\n34800 52199\n58460 87697\n49801 74691\n35103 52639\n37113 55647\n26470 39688\n10892 16402\n33148 49730\n40746 61058\n82810 100000\n24052 36074\n92882 100000\n71972 100000\n45528 68225\n64294 96460\n46969 70436\n59631 89469\n11719 17635\n55068 82572\n76130 100000\n41415 62067\n91394 100000\n61360 92063\n16526 24799\n35369 53042\n54907 82335\n32820 49223\n4581 6893\n62634 93970\n20520 30770\n98302 100000\n18420 27602\n81242 100000\n18516 27746\n24042 36059\n47604 71392\n36147 54206\n32458 48678\n73135 100000\n7584 11429\n97184 100000\n73936 100000\n26973 40428\n45689 68484\n50875 76325\n63874 95834\n98036 100000\n35184 52768\n79345 100000\n87108 100000\n81163 100000\n75615 100000\n3519 5286\n60563 90867\n31218 46797\n51215 76847\n58697 88049\n80530 100000\n40023 59974\n33395 50089\n19114 28664\n26554 39812\n26210 39306\n73205 100000\n78266 100000\n8466 12747\n78115 100000\n17600 26405\n75443 100000\n21221 31815\n51609 77427\n39362 58966\n79546 100000\n73599 100000\n30078 45089\n26842 40234\n37155 55708\n9534 14342\n33445 50167\n36754 55118\n78591 100000\n4694 7071\n63011 94549\n15804 23711\n65044 97574\n83566 100000\n39887 59770\n17340 26018\n58797 88200\n47867 71787\n50660 75982\n52270 78414\n60681 91038\n42800 64128\n27913 41847\n59423 89148\n47421 71111\n1465 2206\n35133 52686\n65926 98878\n43090 64563\n46120 69136\n84373 100000\n1097 1648\n90533 100000\n12550 18888\n3908 5870\n10078 15184\n60858 91300\n80237 100000\n20576 30864\n21236 31837\n59716 89598\n44983 67402\n70603 100000\n27355 40998\n72049 100000\n29651 44456\n41765 62600\n39750 59556\n38751 58056\n49973 74949\n11797 17744\n93310 100000\n46551 69805\n4060 6090\n87422 100000\n13786 20695\n66752 100000\n91857 100000\n63383 95099\n81377 100000\n36024 54022\n65261 97892\n24028 36036\n24418 36610\n74901 100000\n90750 100000\n15548 23333\n32711 49060\n41231 61793\n27013 40487\n8724 13130\n50672 76002\n21233 31832\n34532 51796\n46721 70058\n59015 88523\n83428 100000\n7887 11889\n58781 88174\n674 1006\n4328 6510\n40260 60330\n35615 53409\n10109 15235\n59580 89390\n63205 94846\n12206 18376\n79976 100000\n7782 11729\n60023 90059\n69546 100000\n47360 71021\n28410 42588\n80957 100000\n70838 100000\n12402 18661\n92972 100000\n77575 100000\n56440 84646\n98021 100000\n64225 96352\n11790 17733\n37693 56496\n89642 100000\n94688 100000\n15936 23906\n40175 60205\n17729 26594\n75275 100000\n29727 44573\n29189 43763\n34470 51693\n45879 68764\n15473 23220\n60292 90457\n14307 21474\n7233 10903\n22921 34393\n1976 2958\n31235 46822\n97132 100000\n28787 43148\n50214 75312\n60024 90061\n6778 10236\n21962 32957\n43795 65620\n61015 91540\n64592 96902\n99554 100000\n35643 53451\n14302 21468\n1980 2964\n12976 19510\n72560 100000\n20353 30515\n42034 63006\n50968 76472\n58185 87291\n66114 99172\n72493 100000\n38153 57172\n61684 92541\n89574 100000\n87104 100000\n22041 33083\n77698 100000\n69945 100000\n10582 15936\n53921 80893\n2985 4485\n6645 10037\n17406 26113\n11002 16571\n84522 100000\n40363 60485\n50559 75830\n15944 23919\n59861 89815\n8728 13137\n89711 100000\n88963 100000\n67222 100000\n99072 100000\n84682 100000\n3017 4535\n21993 33004\n12426 18699\n18831 28228\n40885 61274\n20131 30192\n42910 64290\n21656 32480\n20913 31351\n58380 87581\n8100 12202\n38808 58141\n15485 23237\n75338 100000\n89093 100000\n32726 49083\n22689 34042\n12451 18737\n95786 100000\n55102 82624\n68788 100000\n89559 100000\n88749 100000\n87120 100000\n94025 100000\n21117 31660\n68837 100000\n79736 100000\n92420 100000\n97145 100000\n91473 100000\n48736 73094\n90534 100000\n48910 73356\n53702 80567\n35509 53251\n82188 100000\n59913 89891\n78822 100000\n87671 100000\n29744 44602\n6665 10069\n44438 66594\n70985 100000\n41181 61718\n92981 100000\n75841 100000\n49464 74182\n34305 51443\n64186 96295\n87862 100000\n88944 100000\n15907 23862\n69463 100000\n24062 36087\n95529 100000\n61906 92880\n25549 38300\n74890 100000\n55259 82865\n8913 13412\n40114 60114\n37797 56651\n54431 81642\n15717 23588\n9943 14976\n44206 66238\n37022 55510\n86223 100000\n81223 100000\n36672 54995\n51333 77022\n65939 98897\n14591 21900\n78198 100000\n76479 100000\n10329 15560\n81273 100000\n43478 65143\n43890 65764\n19557 29322\n93204 100000\n42728 64024\n56466 84690\n3227 4849\n18991 28475\n63307 94985\n57818 86733\n64551 96841\n85010 100000\n17019 25529\n2381 3577\n70765 100000\n28823 43207\n11204 16872\n87239 100000\n99913 100000\n52835 79250\n52032 78054\n33151 49734\n98527 100000\n41098 61603\n21626 32431\n64702 97071\n10612 15983\n76346 100000\n78036 100000\n70233 100000\n25039 37546\n38726 58020\n36434 54639\n20611 30916\n97470 100000\n24968 37433\n55698 83528\n80612 100000\n24626 36916\n23854 35775\n62724 94100\n44772 67093\n61499 92269\n33122 49690\n80808 100000\n77916 100000\n55325 82966\n71081 100000\n16963 25441\n46360 69514\n98097 100000\n77461 100000\n76995 100000\n55702 83535\n29886 44804\n94571 100000\n92528 100000\n26792 40162\n33164 49751\n72881 100000\n7781 11728\n72250 100000\n46101 69108\n86067 100000\n5089 7674\n71872 100000\n10064 15165\n48802 73189\n97173 100000\n7100 10701\n79106 100000\n24251 36365\n58079 87136\n28565 42821\n27149 40696\n1554 2340\n41071 61564\n5277 7964\n99272 100000\n17666 26502\n77178 100000\n63895 95867\n19339 28997\n23276 34923\n91635 100000\n1562 2351\n47081 70600\n37898 56798\n57288 85946\n43640 65389\n31549 47299\n98971 100000\n69935 100000\n28699 43022\n19950 29916\n81902 100000\n22848 34284\n36317 54467\n17060 25596\n71001 100000\n8041 12112\n77913 100000\n17959 26928\n6607 9981\n25 36\n46745 70098\n75225 100000\n56967 85452\n67109 100000\n63409 95141\n92220 100000\n16688 25038\n50575 75854\n84509 100000\n76897 100000\n67364 100000\n90176 100000\n21019 31509\n87530 100000\n79406 100000\n19662 29483\n50883 76337\n41447 62116\n79666 100000\n59304 88971\n65826 98728\n9826 14788\n13273 19948\n38302 57401\n71473 100000\n81680 100000\n39433 59072\n25664 38479\n52544 78821\n36336 54492\n42150 63182\n53494 80246\n47052 70560\n25573 38337\n24222 36322\n32594 48885\n15549 23334\n97281 100000\n30138 45176\n28358 42510\n98334 100000\n29042 43542\n93216 100000\n85280 100000\n25564 38323\n21470 32193\n96715 100000\n43712 65495\n47813 71709\n19436 29137\n38685 57964\n93469 100000\n79845 100000\n68930 100000\n20708 31050\n45312 67900\n95592 100000\n82725 100000\n1637 2459\n75030 100000\n41987 62939\n76264 100000\n84505 100000\n92814 100000\n80922 100000\n37060 55567\n37527 56253\n25866 38787\n41840 62709\n68328 100000\n70294 100000\n23381 35080\n65767 98643\n26164 39241\n29218 43805\n43836 65683\n93635 100000\n48344 72495\n25240 37838\n17858 26790\n43790 65612\n35767 53636\n53345 80011\n60450 90695\n78093 100000\n28270 42382\n87375 100000\n18813 28202\n54432 81644\n85185 100000\n76773 100000\n46943 70398\n14222 21341\n37535 56265\n43764 65574\n99079 100000\n8668 13048\n79160 100000\n3191 4793\n1456 2191\n6909 10430\n8208 12355\n1226 1842\n64646 96983\n78676 100000\n69023 100000\n28712 43042\n70273 100000\n52695 79045\n8834 13290\n78909 100000\n50565 75840\n99573 100000\n6127 9250\n53453 80183\n74273 100000\n19774 29651\n87031 100000\n99295 100000\n68036 100000\n60073 90138\n8633 13000\n68473 100000\n54706 82038\n39047 58503\n75728 100000\n12763 19206\n61242 91881\n20606 30909\n63016 94556\n94524 100000\n37264 55870\n87174 100000\n31332 46971\n23823 35728\n31167 46720\n95519 100000\n80413 100000\n75785 100000\n31271 46879\n69414 100000\n98711 100000\n46299 69419\n84021 100000\n57381 86089\n9848 14820\n13336 20040\n18524 27759\n88609 100000\n22581 33884\n85040 100000\n8011 12067\n41654 62436\n87759 100000\n65432 98147\n16582 24881\n89080 100000\n20272 30404\n34676 52014\n53860 80801\n85762 100000\n11308 17024\n8219 12371\n76785 100000\n33547 50313\n38263 57341\n58112 87187\n64675 97029\n69286 100000\n95864 100000\n59598 89420\n1591 2389\n84855 100000\n7777 11723\n29106 43633\n8350 12562\n57244 85878\n51407 77127\n8901 13392\n10224 15404\n80391 100000\n73521 100000\n50357 75524\n69707 100000\n772 1159\n11168 16819\n10626 16005\n94573 100000\n26921 40352\n11489 17300\n27921 41856\n58844 88268\n94283 100000\n95730 100000\n15527 23304\n46573 69832\n9434 14193\n14461 21708\n24440 36644\n22252 33404\n66944 100000\n43933 65826\n98291 100000\n16491 24750\n72914 100000\n84396 100000\n62109 93178\n27964 41926\n91077 100000\n50808 76216\n43056 64514\n98895 100000\n45588 68318\n40786 61123\n30616 45893\n70986 100000\n46925 70371\n64463 96712\n8843 13302\n6876 10383\n29751 44612\n52765 79143\n65348 98022\n8180 12316\n57188 85792\n61663 92508\n70198 100000\n56243 84351\n59177 88768\n45087 67561\n25337 37980\n33036 49555\n56824 85236\n18931 28378\n90299 100000\n1012 1521\n92261 100000\n12753 19192\n22951 34438\n20646 30964\n70249 100000\n33296 49939\n37247 55843\n97931 100000\n58981 88474\n21664 32494\n27064 40567\n40669 60938\n13497 20270\n48014 72000\n78685 100000\n82989 100000\n37589 56346\n22383 33593\n61535 92326\n53871 80818\n70060 100000\n83714 100000\n68929 100000\n10708 16129\n80444 100000\n9231 13883\n77974 100000\n28440 42633\n28427 42614\n30682 45994\n8884 13364\n71357 100000\n3664 5501\n28923 43361\n68426 100000\n65532 98297\n28940 43386\n40200 60240\n7846 11827\n50736 76110\n36941 55397\n78114 100000\n84965 100000\n56954 85432\n32128 48175\n37397 56066\n93630 100000\n56206 84298\n18926 28369\n57967 86962\n11038 16624\n33337 49998\n49017 73509\n2674 4019\n50243 75353\n64801 97207\n42861 64218\n6837 10324\n68507 100000\n11593 17456\n64632 96962\n27635 41430\n84412 100000\n962 1444\n44079 66050\n24940 37388\n68275 100000\n11127 16756\n60929 91411\n10046 15138\n13678 20536\n80061 100000\n92909 100000\n93255 100000\n77142 100000\n72365 100000\n92243 100000\n55525 83272\n87162 100000\n67528 100000\n45735 68552\n60777 91172\n61076 91633\n6773 10228\n83484 100000\n63538 95330\n7478 11272\n30523 45751\n79410 100000\n23809 35713\n38523 57735\n14979 22475\n7609 11467\n71120 100000\n57480 86236\n9084 13671\n23644 35472\n84810 100000\n55054 82548\n79944 100000\n76054 100000\n3449 5190\n43445 65096\n90106 100000\n27623 41412\n10087 15198\n52879 79317\n84806 100000\n95262 100000\n37520 56242\n63276 94942\n74046 100000\n12968 19497\n49729 74590\n44618 66868\n34916 52369\n73027 100000\n770 1155\n1272 1911\n45185 67713\n24911 37347\n74097 100000\n20662 30985\n16964 25443\n33282 49920\n36727 55081\n67997 100000\n61516 92296\n67986 100000\n82694 100000\n27311 40934\n31761 47618\n33370 50049\n10637 16020\n26296 39432\n54195 81297\n95708 100000\n78857 100000\n62645 93986\n88864 100000\n86545 100000\n74517 100000\n74071 100000\n54715 82052\n73314 100000\n28705 43032\n43785 65603\n80865 100000\n45713 68522\n49675 74514\n98379 100000\n6129 9253\n20328 30480\n55616 83406\n23171 34762\n36770 55144\n18246 27340\n24343 36501\n55395 83076\n73837 100000\n90782 100000\n28783 43142\n68654 100000\n3014 4531\n66779 100000\n30170 45220\n18595 27865\n83147 100000\n75411 100000\n4777 7195\n85433 100000\n64897 97357\n39490 59157\n51037 76575\n46823 70216\n14726 22095\n99805 100000\n73773 100000\n77177 100000\n89008 100000\n18229 27314\n21014 31502\n74913 100000\n75975 100000\n95481 100000\n85437 100000\n94620 100000\n42622 63877\n11381 17136\n94373 100000\n56099 84129\n36084 54108\n5398 8148\n18606 27881\n78038 100000\n82117 100000\n99860 100000\n15528 23305\n31108 46632\n10126 15260\n8572 12912\n51004 76529\n39659 59415\n72591 100000\n74184 100000\n57939 86921\n49925 74875\n98421 100000\n14338 21525\n61736 92623\n10519 15835\n75788 100000\n96539 100000\n1879 2813\n35242 52855\n74819 100000\n67345 100000\n22453 33707\n57469 86219\n44168 66183\n224 331\n50192 75279\n84995 100000\n45690 68486\n5178 7813\n216 320\n36290 54422\n35439 53145\n83019 100000\n98713 100000\n79630 100000\n72624 100000\n81845 100000\n17390 26092\n42015 62976\n91982 100000\n57247 85882\n62183 93285\n25699 38535\n12135 18265\n6372 9631\n74594 100000\n63445 95192\n19781 29659\n46393 69564\n85382 100000\n16573 24869\n89977 100000\n83718 100000\n36448 54661\n57747 86635\n83848 100000\n61869 92823\n70797 100000\n61280 91936\n60298 90466\n19257 28874\n37425 56108\n85254 100000\n75562 100000\n75749 100000\n82852 100000\n48323 72466\n33289 49931\n47725 71578\n16362 24561\n97374 100000\n50476 75706\n45744 68564\n6260 9451\n1165 1758\n24135 36195\n74582 100000\n33246 49867\n47516 71259\n68621 100000\n3679 5523\n1643 2466\n76517 100000\n40015 59962\n29559 44320\n87308 100000\n18905 28339\n71279 100000\n94291 100000\n72590 100000\n62181 93283\n95999 100000\n29769 44639\n37615 56383\n44860 67223\n9285 13969\n29794 44674\n89824 100000\n60547 90844\n75038 100000\n73925 100000\n81892 100000\n76292 100000\n4975 7504\n39672 59436\n30910 46341\n17696 26547\n84307 100000\n64018 96048\n16146 24222\n27309 40930\n9677 14554\n97471 100000\n51955 77934\n42454 63637\n53012 79516\n5586 8428\n38566 57796\n97494 100000\n30680 45990\n30826 46215\n11735 17659\n8980 13510\n9919 14934\n29403 44085\n73281 100000\n26963 40413\n84204 100000\n23353 35043\n58498 87753\n22042 33085\n51199 76820\n40715 61008\n5620 8476\n17210 25818\n4935 7441\n77861 100000\n88981 100000\n77632 100000\n56785 85177\n78228 100000\n1186 1788\n11616 17489\n85418 100000\n52254 78390\n8917 13416\n56531 84787\n73657 100000\n18691 28022\n49535 74298\n811 1217\n31078 46589\n11275 16979\n64320 96498\n47279 70900\n52374 78565\n87669 100000\n50376 75553\n13330 20033\n28234 42327\n50485 75720\n56525 84777\n30479 45685\n43512 65195\n72534 100000\n73947 100000\n58806 88211\n93901 100000\n65180 97773\n94650 100000\n18962 28428\n61128 91712\n30884 46304\n89420 100000\n63596 95411\n82278 100000\n86799 100000\n21685 32529\n66970 100000\n61087 91650\n28610 42888\n18892 28320\n22222 33361\n68528 100000\n26022 39023\n14675 22025\n24486 36712\n69367 100000\n45478 68145\n33293 49935\n34859 52283\n51216 76849\n70663 100000\n97656 100000\n17651 26479\n43287 64868\n13881 20843\n62614 93936\n20485 30715\n40101 60093\n53268 79906\n19585 29365\n24300 36438\n62126 93206\n42863 64220\n43936 65831\n51493 77246\n13698 20566\n34176 51250\n82051 100000\n18457 27657\n3235 4861\n37117 55652\n18194 27266\n83562 100000\n63625 95457\n96123 100000\n89593 100000\n28104 42136\n50550 75816\n75980 100000\n53824 80744\n4882 7358\n48050 72056\n73019 100000\n56286 84417\n58670 88013\n21062 31578\n46976 70447\n76003 100000\n14605 21921\n84767 100000\n55467 83187\n47145 70694\n63302 94979\n21307 31939\n35376 53056\n6078 9180\n37947 56869\n64740 97123\n83454 100000\n8019 12079\n49001 73485\n73138 100000\n59938 89932\n55481 83207\n13283 19962\n7310 11018\n93656 100000\n66983 100000\n25897 38833\n54258 81394\n46234 69314\n98183 100000\n42437 63608\n6271 9469\n28423 42609\n84080 100000\n68870 100000\n70224 100000\n2558 3846\n67922 100000\n76391 100000\n37387 56055\n50075 75100\n9575 14403\n343 501\n71948 100000\n38178 57213\n31458 47166\n93671 100000\n7193 10843\n62682 94039\n99022 100000\n28087 42111\n94213 100000\n68334 100000\n45335 67934\n89737 100000\n95577 100000\n93116 100000\n2785 4186\n57386 86095\n45429 68075\n12252 18448\n51060 76613\n588 884\n51476 77221\n75804 100000\n57071 85614\n50974 76481\n4730 7123\n8088 12184\n82876 100000\n27688 41507\n12165 18314\n7484 11280\n24158 36231\n91763 100000\n33494 50238\n77235 100000\n36956 55417\n81828 100000\n64645 96982\n17073 25617\n67529 100000\n5543 8362\n38239 57304\n21958 32952\n26137 39203\n13288 19969\n34032 51037\n44578 66813\n38313 57417\n87146 100000\n18639 27936\n14273 21418\n74583 100000\n16928 25382\n15355 23049\n5259 7934\n99697 100000\n41384 62015\n52306 78465\n49804 74694\n57571 86369\n31054 46553\n14875 22316\n61201 91823\n39402 59028\n28262 42370\n28267 42378\n32155 48217\n71173 100000\n7486 11283\n12889 19380\n34514 51764\n33778 50658\n26456 39669\n71197 100000\n36 52\n17542 26317\n92557 100000\n16333 24519\n13127 19737\n41794 62641\n17476 26220\n59181 88774\n27158 40710\n51515 77280\n77302 100000\n48758 73127\n71125 100000\n9018 13569\n65870 98792\n90367 100000\n403 593\n211 313\n8461 12738\n75727 100000\n86877 100000\n75461 100000\n95381 100000\n10849 16341\n19945 29908\n76742 100000\n78777 100000\n83679 100000\n85224 100000\n41152 61680\n34373 51551\n99900 100000\n76914 100000\n88694 100000\n23509 35271\n9346 14057\n1738 2610\n30383 45526\n7134 10757\n30948 46400\n34002 50991\n75513 100000\n71864 100000\n46588 69856\n72248 100000\n8262 12431\n87780 100000\n15982 23978\n57606 86422\n61 93\n11083 16689\n13242 19902\n53207 79821\n67546 100000\n68605 100000\n94175 100000\n39528 59218\n36442 54651\n80661 100000\n44532 66741\n800 1200\n44916 67301\n19693 29529\n84342 100000\n50753 76137\n44500 66687\n3833 5750\n35221 52822\n81810 100000\n56717 85071\n32405 48595\n1608 2414\n32911 49360\n61452 92200\n69887 100000\n80855 100000\n32840 49252\n65759 98634\n72984 100000\n86075 100000\n87985 100000\n82445 100000\n28678 42990\n37375 56036\n12705 19122\n24671 36988\n78180 100000\n21831 32756\n50878 76330\n68147 100000\n57036 85561\n52985 79474\n99488 100000\n53088 79639\n33923 50867\n56121 84162\n54479 81712\n14894 22345\n21532 32285\n10034 15118\n17111 25670\n61119 91698\n27484 41195\n19554 29319\n84097 100000\n58900 88346\n32406 48597\n56205 84297\n63978 95990\n74966 100000\n99953 100000\n73425 100000\n21927 32903\n73306 100000\n93497 100000\n8197 12338\n22387 33598\n97338 100000\n15940 23912\n54609 81900\n74884 100000\n30544 45784\n76093 100000\n99574 100000\n99355 100000\n65212 97822\n52577 78872\n3520 5287\n36863 55283\n38873 58243\n50261 75378\n41981 62929\n123 185\n82156 100000\n36301 54439\n46127 69147\n75228 100000\n93494 100000\n13153 19773\n25742 38600\n45466 68129\n86618 100000\n39694 59468\n71855 100000\n60070 90133\n17364 26051\n38967 58387\n7108 10715\n62992 94521\n8462 12740\n62993 94522\n90712 100000\n72451 100000\n7402 11154\n61792 92703\n61331 92016\n96906 100000\n60866 91314\n90172 100000\n60587 90900\n6168 9314\n26960 40408\n48985 73462\n95210 100000\n56231 84337\n11544 17379\n25296 37922\n68581 100000\n93508 100000\n25525 38264\n58019 87044\n36288 54419\n54753 82109\n52788 79178\n10077 15182\n5006 7548\n12131 18259\n26010 39006\n94002 100000\n9069 13648\n56076 84095\n88660 100000\n45309 67895\n64190 96302\n57357 86054\n46566 69823\n82480 100000\n36622 54925\n20314 30459\n64629 96958\n6069 9166\n42624 63881\n29297 43925\n13637 20474\n90276 100000\n50491 75731\n7525 11339\n33183 49779\n30297 45404\n38897 58280\n47289 70916\n90446 100000\n31837 47736\n84689 100000\n33332 49990\n5889 8889\n26760 40116\n15347 23037\n41443 62110\n50543 75807\n50537 75798\n9551 14368\n16108 24169\n34379 51562\n95000 100000\n46094 69098\n78020 100000\n24417 36608\n7400 11151\n67080 100000\n1653 2482\n58489 87740\n78779 100000\n74084 100000\n72398 100000\n52143 78225\n40466 60636\n17594 26397\n44034 65980\n95449 100000\n93559 100000\n65914 98858\n7362 11096\n84821 100000\n22687 34039\n89048 100000\n68802 100000\n82619 100000\n8033 12098\n54769 82131\n85417 100000\n96353 100000\n99646 100000\n4962 7485\n231 339\n59763 89671\n37019 55507\n94330 100000\n94815 100000\n88485 100000\n80695 100000\n89164 100000\n37545 56282\n29831 44725\n59054 88586\n83921 100000\n90397 100000\n44263 66325\n43935 65830\n62891 94360\n73421 100000\n81386 100000\n48694 73033\n39984 59920\n74632 100000\n8970 13493\n66847 100000\n10817 16293\n99658 100000\n42896 64268\n15692 23552\n34061 51081\n59049 88577\n31960 47920\n83988 100000\n74044 100000\n12833 19307\n68201 100000\n1024 1540\n86891 100000\n87443 100000\n95701 100000\n53063 79594\n53935 80913\n26270 39396\n49172 73736\n28276 42391\n23487 35240\n23640 35467\n73038 100000\n48298 72428\n61072 91628\n41714 62524\n58459 87696\n28736 43076\n25144 37700\n2671 4014\n51937 77908\n28932 43375\n9230 13882\n81871 100000\n23035 34562\n64175 96279\n96060 100000\n5316 8024\n37870 56757\n95534 100000\n1053 1581\n14110 21177\n86383 100000\n82657 100000\n93748 100000\n47793 71678\n63063 94630\n77729 100000\n58466 87707\n72409 100000\n60978 91487\n98932 100000\n42950 64350\n59426 89151\n46103 69112\n80909 100000\n25028 37527\n50579 75859\n1227 1844\n72802 100000\n30808 46187\n66922 100000\n26450 39660\n9944 14977\n64301 96472\n80225 100000\n79312 100000\n7882 11881\n4211 6325\n508 760\n2982 4480\n3210 4822\n52198 78308\n93168 100000\n21477 32204\n17769 26655\n7923 11942\n16315 24491\n39801 59639\n49575 74361\n1116 1680\n47475 71198\n45193 67724\n12277 18483\n58297 87464\n49413 74106\n20445 30651\n86679 100000\n21595 32380\n4601 6923\n47849 71761\n2372 3566\n97197 100000\n40033 59988\n99558 100000\n78747 100000\n3528 5299\n73766 100000\n4551 6845\n57231 85857\n15042 22567\n9198 13837\n98766 100000\n80229 100000\n43728 65519\n28448 42645\n75200 100000\n46330 69466\n31502 47232\n83672 100000\n12730 19161\n86218 100000\n81625 100000\n71267 100000\n1745 2619\n44377 66495\n70775 100000\n15997 24001\n28673 42981\n13967 20966\n81471 100000\n68156 100000\n93582 100000\n78012 100000\n87864 100000\n47253 70862\n31386 47054\n85891 100000\n71777 100000\n39191 58715\n57100 85656\n88375 100000\n75681 100000\n21225 31819\n74008 100000\n4615 6942\n8623 12988\n72686 100000\n59376 89080\n33295 49937\n57011 85522\n14165 21258\n54933 82370\n35657 53472\n95751 100000\n28131 42172\n71694 100000\n70418 100000\n92140 100000\n25431 38126\n55389 83068\n75995 100000\n31542 47288\n72837 100000\n92887 100000\n86999 100000\n93525 100000\n7621 11486\n21137 31689\n19435 29136\n83780 100000\n32429 48632\n38335 57449\n82659 100000\n97151 100000\n3245 4875\n72662 100000\n90760 100000\n35648 53457\n32921 49374\n38442 57612\n92847 100000\n33705 50550\n54911 82341\n84508 100000\n6814 10289\n50885 76340\n82468 100000\n26902 40324\n88395 100000\n24174 36253\n251 368\n16045 24075\n91644 100000\n26185 39269\n9022 13575\n38062 57038\n68555 100000\n45701 68504\n53138 79713\n30527 45757\n65912 98856\n64774 97170\n3310 4978\n67366 100000\n23536 35307\n56339 84499\n32923 49377\n82363 100000\n75360 100000\n20042 30058\n25528 38267\n81008 100000\n16281 24431\n21515 32261\n65235 97855\n4829 7276\n37312 55945\n64452 96697\n3467 5214\n55430 83130\n87029 100000\n41074 61567\n18783 28160\n83302 100000\n4348 6539\n62684 94043\n64694 97060\n3272 4917\n83732 100000\n16682 25029\n4084 6130\n89009 100000\n72448 100000\n57215 85829\n21941 32926\n38192 57230\n25491 38213\n60924 91402\n84368 100000\n88876 100000\n62519 93787\n2896 4351\n41442 62109\n79243 100000\n74634 100000\n17013 25520\n93276 100000\n35905 53840\n73787 100000\n27534 41275\n12766 19210\n86276 100000\n59786 89705\n89225 100000\n71341 100000\n79673 100000\n54713 82050\n45965 68899\n46879 70301\n26452 39664\n4937 7445\n76698 100000\n89210 100000\n13787 20696\n44265 66329\n93198 100000\n36898 55334\n43664 65425\n89434 100000\n26147 39218\n84502 100000\n70735 100000\n36785 55169\n89477 100000\n49921 74869\n68319 100000\n10856 16353\n87042 100000\n44654 66921\n66077 99116\n4138 6214\n48820 73215\n9262 13933\n5939 8970\n68380 100000\n99087 100000\n55305 82938\n57478 86233\n16236 24364\n27537 41279\n43241 64796\n52287 78438\n71513 100000\n85142 100000\n26540 39789\n96957 100000\n36794 55182\n62808 94228\n28117 42153\n92908 100000\n66054 99077\n52619 78937\n83 127\n5323 8035\n16350 24542\n51717 77588\n30039 45036\n84405 100000\n24751 37104\n22967 34466\n63722 95600\n9427 14181\n83059 100000\n66621 99933\n99427 100000\n71327 100000\n31020 46504\n9855 14832\n31964 47926\n57637 86470\n89077 100000\n29421 44115\n51889 77837\n56420 84618\n82090 100000\n66777 100000\n54421 81629\n10525 15843\n26344 39503\n43044 64494\n40151 60168\n68467 100000\n86244 100000\n50733 76105\n89472 100000\n41740 62566\n44598 66840\n35514 53259\n33410 50110\n23066 34610\n95627 100000\n4330 6514\n92629 100000\n40507 60692\n42432 63602\n38417 57573\n29254 43859\n79094 100000\n4698 7077\n65631 98449\n36091 54119\n59385 89093\n85506 100000\n9446 14211\n86525 100000\n94887 100000\n32638 48949\n50674 76005\n27889 41812\n11286 16995\n45604 68343\n54391 81588\n56318 84468\n41629 62398\n42401 63555\n49756 74627\n42702 63988\n94417 100000\n24144 36208\n85409 100000\n93776 100000\n53902 80863\n53812 80727\n39019 58458\n23662 35500\n13900 20874\n95387 100000\n22309 33488\n60200 90328\n39673 59437\n20760 31130\n88511 100000\n30769 46124\n78602 100000\n20123 30180\n56666 84999\n65258 97889\n57837 86763\n96413 100000\n76099 100000\n18559 27811\n11934 17956\n54113 81181\n45238 67789\n58243 87381\n88743 100000\n28257 42361\n77336 100000\n24322 36471\n42933 64325\n24279 36406\n35852 53764\n34184 51262\n636 952\n62783 94190\n42759 64066\n85049 100000\n42356 63488\n3953 5933\n49118 73654\n70597 100000\n12477 18779\n7017 10584\n86497 100000\n96674 100000\n18005 26997\n52848 79269\n89733 100000\n79996 100000\n7838 11816\n88232 100000\n42908 64286\n5196 7841\n34703 52059\n58363 87557\n84487 100000\n895 1341\n36486 54719\n34405 51598\n40935 61350\n55071 82576\n17399 26103\n43334 64936\n54242 81369\n5831 8794\n1109 1670\n17933 26895\n58174 87275\n73534 100000\n31059 46562\n21878 32832\n17926 26885\n78496 100000\n61419 92150\n38266 57347\n55379 83052\n19467 29185\n58444 87677\n56760 85136\n72741 100000\n40212 60257\n30269 45365\n44939 67337\n33374 50055\n80680 100000\n4135 6209\n90291 100000\n62142 93232\n30960 46416\n26588 39858\n37815 56675\n29668 44482\n73594 100000\n23643 35470\n1504 2267\n63348 95044\n90989 100000\n95434 100000\n96206 100000\n39870 59747\n49411 74102\n89462 100000\n69941 100000\n2957 4447\n6548 9891\n38112 57111\n94267 100000\n93892 100000\n18032 27038\n32860 49283\n29224 43815\n31550 47300\n8545 12872\n77910 100000\n23461 35194\n54934 82371\n87468 100000\n19736 29598\n83293 100000\n27384 41041\n72642 100000\n229 336\n20922 31364\n3834 5752\n61926 92908\n85146 100000\n40829 61186\n89915 100000\n31344 46988\n92051 100000\n65476 98215\n48699 73041\n24916 37354\n86278 100000\n88275 100000\n86879 100000\n69916 100000\n41362 61985\n93331 100000\n32674 49005\n53011 79514\n77304 100000\n44222 66258\n69818 100000\n42640 63904\n78411 100000\n63650 95492\n95523 100000\n73717 100000\n83757 100000\n91110 100000\n78305 100000\n43707 65489\n90612 100000\n20021 30029\n19155 28724\n20424 30620\n64943 97423\n6073 9172\n61672 92523\n36011 54002\n57191 85797\n73611 100000\n46322 69452\n9740 14654\n79662 100000\n26785 40152\n23095 34652\n35154 52721\n1979 2962\n47352 71008\n92900 100000\n9441 14204\n72235 100000\n32307 48450\n36541 54806\n68223 100000\n96394 100000\n21381 32056\n39664 59424\n46652 69949\n61581 92395\n14454 21698\n74679 100000\n92560 100000\n25505 38235\n35425 53127\n5268 7949\n90539 100000\n40327 60428\n44908 67291\n24472 36691\n11984 18033\n36957 55419\n2792 4196\n2876 4322\n52218 78335\n63732 95616\n5677 8560\n27667 41476\n45995 68946\n67338 100000\n1174 1772\n46307 69432\n85431 100000\n28381 42543\n68042 100000\n54256 81390\n44968 67381\n46970 70438\n14113 21181\n75413 100000\n3462 5209\n62817 94246\n84588 100000\n47739 71595\n31052 46550\n96690 100000\n97798 100000\n33278 49914\n58354 87546\n21267 31884\n15759 23646\n74156 100000\n49161 73718\n544 816\n60071 90135\n3326 4999\n14758 22147\n62085 93143\n4027 6043\n38885 58261\n48289 72414\n50377 75555\n39154 58656\n65505 98256\n4536 6820\n90520 100000\n44177 66195\n604 905\n18071 27091\n37909 56816\n59187 88785\n25727 38578\n40444 60605\n39087 58555\n46843 70249\n26697 40028\n97503 100000\n56634 84950\n56303 84446\n76573 100000\n28227 42317\n13813 20740\n2732 4105\n91343 100000\n49713 74569\n25970 38943\n98126 100000\n87283 100000\n23803 35704\n86284 100000\n74602 100000\n76916 100000\n15240 22875\n20371 30544\n60209 90342\n98120 100000\n55527 83275\n26252 39372\n89310 100000\n8529 12845\n20100 30147\n2962 4452\n49956 74923\n41534 62252\n11362 17105\n68898 100000\n69810 100000\n38601 57847\n83648 100000\n39848 59711\n79482 100000\n87609 100000\n90443 100000\n22132 33219\n17744 26616\n66028 99040\n42691 63975\n12697 19109\n75760 100000\n79004 100000\n85671 100000\n40886 61276\n12458 18747\n63018 94559\n94779 100000\n79714 100000\n84380 100000\n72351 100000\n56005 83991\n84215 100000\n51181 76790\n13124 19734\n16186 24286\n18838 28238\n5397 8147\n62027 93056\n53872 80820\n74630 100000\n26945 40389\n93766 100000\n87164 100000\n58683 88030\n1239 1865\n62490 93747\n89280 100000\n32612 48912\n13548 20346\n45659 68436\n10019 15094\n78717 100000\n34680 52022\n35422 53122\n42055 63035\n54089 81147\n53791 80701\n33224 49836\n27216 40794\n88203 100000\n31405 47085\n3797 5697\n89245 100000\n57214 85828\n80049 100000\n55123 82658\n57195 85803\n79687 100000\n62050 93088\n91286 100000\n67611 100000\n76363 100000\n58156 87249\n88352 100000\n2830 4252\n86585 100000\n88201 100000\n29987 44958\n52020 78035\n34835 52250\n80209 100000\n64777 97174\n2493 3743\n25233 37828\n20221 30330\n67383 100000\n56670 85005\n20186 30279\n96790 100000\n48790 73173\n15159 22746\n45885 68772\n12433 18707\n59191 88791\n38916 58308\n1420 2137\n16991 25487\n63413 95148\n69104 100000\n10316 15538\n96660 100000\n97371 100000\n73672 100000\n58143 87231\n79592 100000\n73928 100000\n63778 95688\n88260 100000\n99823 100000\n72757 100000\n53909 80875\n34265 51381\n38811 58146\n19762 29634\n14300 21464\n28811 43188\n45863 68739\n74107 100000\n54799 82171\n75111 100000\n78825 100000\n66184 99273\n12049 18137\n9542 14353\n40998 61450\n88139 100000\n32320 48470\n83118 100000\n92776 100000\n14095 21152\n3391 5095\n75506 100000\n37446 56134\n29062 43569\n24254 36368\n21882 32838\n84139 100000\n75398 100000\n3595 5399\n83678 100000\n45075 67543\n25808 38700\n80362 100000\n70442 100000\n50006 75002\n67213 100000\n89059 100000\n91727 100000\n86944 100000\n13049 19622\n77446 100000\n48866 73286\n73178 100000\n17358 26041\n1515 2282\n7787 11737\n3401 5111\n69254 100000\n77079 100000\n2924 4397\n48547 72808\n5691 8584\n63088 94669\n18636 27931\n10681 16086\n25353 38006\n34958 52435\n94120 100000\n98465 100000\n51963 77944\n59872 89829\n10413 15683\n52510 78766\n21708 32562\n42609 63858\n95979 100000\n19340 28998\n12557 18898\n71701 100000\n15195 22804\n74814 100000\n26629 39923\n93920 100000\n68549 100000\n39498 59169\n91299 100000\n9844 14816\n1553 2338\n98032 100000\n11844 17819\n16594 24898\n75070 100000\n63362 95067\n54899 82322\n17500 26254\n32482 48714\n69018 100000\n37107 55636\n97601 100000\n98596 100000\n93312 100000\n68771 100000\n12576 18928\n57625 86451\n10871 16372\n15422 23146\n15807 23715\n98674 100000\n60356 90552\n46265 69367\n49678 74519\n32276 48400\n56174 84248\n31958 47916\n71303 100000\n5817 8770\n64926 97398\n40717 61012\n82797 100000\n11070 16670\n73141 100000\n24873 37290\n27824 41712\n53751 80640\n29885 44803\n37405 56079\n9317 14017\n71799 100000\n46486 69702\n76509 100000\n94342 100000\n76653 100000\n2655 3987\n95479 100000\n87854 100000\n48846 73254\n2880 4329\n95760 100000\n74037 100000\n2410 3619\n58075 87129\n61273 91924\n99333 100000\n16111 24175\n59029 88544\n10546 15876\n68495 100000\n65621 98433\n20295 30437\n31429 47121\n25750 38613\n37572 56325\n76119 100000\n84403 100000\n57484 86241\n83255 100000\n26173 39253\n1995 2986\n76830 100000\n75212 100000\n55480 83206\n93127 100000\n70831 100000\n18918 28356\n2165 3247\n41363 61986\n83271 100000\n8424 12684\n70748 100000\n90208 100000\n26495 39727\n48957 73422\n61518 92298\n84491 100000\n34458 51675\n84030 100000\n38864 58228\n96825 100000\n41971 62912\n10656 16048\n96451 100000\n97335 100000\n79660 100000\n23611 35423\n97878 100000\n9562 14384\n46258 69354\n69515 100000\n11505 17321\n21893 32852\n55532 83283\n57767 86663\n1045 1571\n74559 100000\n58803 88208\n33725 50581\n82180 100000\n89113 100000\n65840 98749\n52481 78723\n77212 100000\n10819 16295\n45006 67436\n78994 100000\n89498 100000\n99581 100000\n93111 100000\n361 529\n77027 100000\n47115 70650\n54478 81711\n36185 54260\n24471 36689\n21243 31847\n58949 88425\n50326 75477\n53520 80284\n93366 100000\n22632 33959\n12851 19328\n52487 78731\n10097 15214\n46450 69651\n95257 100000\n75266 100000\n55875 83798\n64037 96077\n2003 2998\n10182 15342\n6952 10491\n86833 100000\n61527 92311\n77209 100000\n23411 35122\n5594 8439\n70519 100000\n35758 53623\n41666 62453\n40851 61220\n53576 80378\n99476 100000\n58341 87528\n24611 36892\n95928 100000\n37575 56328\n25287 37908\n26081 39115\n35968 53939\n9263 13934\n40978 61418\n87013 100000\n40345 60459\n23754 35635\n970 1457\n78821 100000\n54332 81508\n48021 72010\n89795 100000\n21594 32379\n67796 100000\n87550 100000\n24924 37365\n67316 100000\n50862 76303\n95273 100000\n91307 100000\n15896 23848\n42210 63267\n76092 100000\n67519 100000\n92161 100000\n62853 94302\n95753 100000\n61793 92704\n72232 100000\n2694 4049\n47479 71204\n15154 22741\n6234 9415\n91729 100000\n69130 100000\n97840 100000\n28621 42905\n84524 100000\n57371 86073\n99555 100000\n50232 75336\n470 701\n39868 59745\n35839 53743\n59518 89295\n40568 60786\n83201 100000\n13407 20148\n30380 45521\n32586 48873\n80559 100000\n34496 51736\n58251 87393\n91679 100000\n37489 56200\n75806 100000\n58182 87286\n91282 100000\n11762 17695\n35875 53799\n32347 48506\n1741 2613\n79587 100000\n26989 40452\n84958 100000\n71928 100000\n25936 38893\n38306 57406\n29905 44835\n43462 65123\n77213 100000\n20256 30378\n71285 100000\n63497 95270\n21304 31935\n43517 65202\n31069 46577\n52516 78774\n45699 68501\n34611 51916\n19783 29662\n54237 81362\n44947 67350\n46754 70111\n69345 100000\n67005 100000\n22662 34002\n79890 100000\n87254 100000\n4471 6729\n65071 97612\n28640 42931\n25662 38476\n55034 82518\n37365 56020\n73078 100000\n26795 40167\n87627 100000\n62012 93036\n95875 100000\n29879 44795\n97056 100000\n19428 29126\n48911 73357\n82176 100000\n82268 100000\n11974 18020\n70483 100000\n46633 69923\n76463 100000\n4788 7213\n65599 98399\n57564 86358\n95388 100000\n12845 19321\n61715 92593\n38332 57446\n51571 77368\n87942 100000\n36628 54934\n51318 76997\n12755 19194\n6417 9692\n94778 100000\n45520 68211\n57113 85677\n68661 100000\n17248 25876\n63847 95793\n38930 58329\n48340 72489\n81397 100000\n28302 42427\n95596 100000\n29542 44296\n37110 55641\n96974 100000\n85532 100000\n52672 79009\n50863 76305\n42870 64228\n19078 28609\n6679 10091\n79624 100000\n23638 35464\n70736 100000\n5785 8725\n5886 8885\n98445 100000\n41240 61806\n81070 100000\n67161 100000\n24936 37383\n47174 70740\n81282 100000\n96142 100000\n19139 28700\n10150 15293\n19452 29164\n64519 96794\n38059 57034\n75826 100000\n39547 59245\n37357 56008\n89842 100000\n60982 91491\n63003 94537\n97427 100000\n13818 20748\n78060 100000\n53946 80927\n87436 100000\n28154 42210\n62604 93923\n98434 100000\n14374 21578\n63209 94850\n27966 41930\n1766 2645\n88023 100000\n53402 80099\n96426 100000\n21518 32264\n76375 100000\n88871 100000\n28959 43411\n88519 100000\n11079 16683\n88823 100000\n13339 20044\n9192 13827\n56347 84509\n2134 3201\n84194 100000\n87697 100000\n18658 27967\n65283 97923\n3875 5815\n76417 100000\n38511 57717\n69446 100000\n34787 52181\n28896 43324\n71257 100000\n83324 100000\n68877 100000\n70242 100000\n19908 29854\n81148 100000\n18355 27507\n22996 34506\n88076 100000\n99767 100000\n9618 14467\n49567 74346\n46951 70410\n8832 13288\n63785 95697\n50894 76355\n40641 60896\n19946 29910\n55255 82858\n38855 58215\n4171 6264\n99650 100000\n65625 98438\n30254 45342\n93132 100000\n36140 54197\n59373 89077\n91597 100000\n90785 100000\n71951 100000\n50555 75824\n96642 100000\n89713 100000\n47316 70954\n47724 71576\n52714 79074\n49611 74416\n27720 41556\n14189 21293\n41929 62847\n86078 100000\n20641 30958\n93205 100000\n22732 34104\n87987 100000\n48827 73226\n69913 100000\n74747 100000\n89579 100000\n96461 100000\n14012 21032\n1866 2793\n46915 70357\n86930 100000\n11007 16579\n10301 15515\n9744 14658\n46444 69642\n34531 51794\n2646 3975\n87062 100000\n68955 100000\n42827 64166\n7473 11264\n62209 93326\n6059 9153\n17546 26323\n42993 64415\n87249 100000\n34845 52263\n45492 68166\n74690 100000\n64144 96235\n22749 34131\n25120 37669\n43722 65509\n88633 100000\n13945 20935\n23517 35282\n27453 41146\n92439 100000\n10873 16375\n39278 58840\n13013 19564\n93118 100000\n65040 97569\n74733 100000\n87556 100000\n67373 100000\n39709 59492\n2858 4293\n19328 28981\n2565 3857\n93783 100000\n27774 41633\n17893 26842\n77811 100000\n62252 93392\n63145 94759\n5894 8897\n19001 28489\n89582 100000\n93079 100000\n86969 100000\n75721 100000\n84877 100000\n85603 100000\n56495 84731\n48271 72391\n60968 91471\n36251 54358\n54655 81962\n60214 90350\n75323 100000\n25201 37783\n9570 14396\n58324 87505\n31521 47257\n58927 88389\n4781 7201\n21400 32088\n41588 62334\n66534 99803\n17069 25611\n11937 17961\n88488 100000\n6656 10053\n66156 99233\n12425 18697\n51159 76758\n4094 6146\n55346 82999\n65847 98759\n52486 78730\n22203 33331\n99205 100000\n44015 65949\n84661 100000\n87330 100000\n17568 26360\n91520 100000\n63109 94703\n98174 100000\n45348 67953\n46677 69987\n9650 14514\n21219 31813\n99049 100000\n30324 45443\n6080 9183\n779 1170\n31604 47381\n90910 100000\n12750 19187\n82545 100000\n39309 58886\n55099 82620\n33948 50906\n75500 100000\n4364 6564\n66270 99402\n6395 9661\n78753 100000\n35124 52670\n91760 100000\n12155 18300\n34919 52373\n10761 16208\n46609 69889\n77144 100000\n49079 73595\n33286 49927\n57814 86727\n95616 100000\n11133 16765\n18913 28349\n85402 100000\n35907 53843\n51341 77036\n98699 100000\n6297 9513\n94943 100000\n32188 48267\n79318 100000\n71596 100000\n27096 40616\n88561 100000\n79258 100000\n85389 100000\n54246 81374\n74053 100000\n64648 96986\n38788 58113\n47603 71391\n98169 100000\n46385 69555\n64550 96839\n62601 93918\n79458 100000\n52869 79301\n81291 100000\n11231 16913\n21218 31811\n8083 12175\n82547 100000\n8438 12706\n30411 45569\n76936 100000\n60485 90746\n81500 100000\n39316 58899\n98906 100000\n55488 83218\n19249 28862\n41201 61748\n92068 100000\n89414 100000\n62282 93434\n2741 4118\n22514 33786\n63272 94937\n68570 100000\n83051 100000\n8809 13257\n63856 95807\n51850 77777\n24781 37150\n64478 96732\n78424 100000\n4791 7217\n43897 65774\n51 77\n11623 17498\n29406 44090\n336 490\n92795 100000\n72156 100000\n48916 73364\n60883 91341\n60976 91483\n82009 100000\n50111 75152\n95655 100000\n59684 89549\n87830 100000\n98282 100000\n31388 47056\n93866 100000\n13913 20890\n48587 72871\n89581 100000\n68203 100000\n32655 48976\n78494 100000\n80773 100000\n79544 100000\n26009 39005\n35495 53230\n80525 100000\n25972 38946\n37165 55719\n82867 100000\n71590 100000\n72363 100000\n67702 100000\n79835 100000\n33311 49960\n10226 15408\n24299 36437\n3677 5521\n3624 5442\n99124 100000\n62225 93352\n81928 100000\n30260 45351\n40609 60849\n77961 100000\n26158 39233\n66895 100000\n96420 100000\n57056 85589\n30878 46294\n76990 100000\n36329 54484\n8223 12376\n35365 53035\n76805 100000\n65167 97757\n60774 91168\n57843 86773\n74182 100000\n6424 9701\n23630 35451\n82775 100000\n96887 100000\n88732 100000\n91818 100000\n91459 100000\n29358 44014\n8673 13058\n19347 29008\n13955 20949\n95939 100000\n58180 87283\n98277 100000\n67279 100000\n53705 80571\n97415 100000\n43181 64702\n6553 9898\n88966 100000\n75233 100000\n36402 54591\n10253 15447\n95960 100000\n49232 73828\n13042 19612\n16831 25240\n13905 20880\n83148 100000\n34478 51708\n8179 12315\n40938 61355\n11842 17815\n22230 33375\n42685 63967\n964 1447\n7590 11437\n48997 73479\n44617 66867\n4701 7082\n16708 25069\n83054 100000\n45559 68272\n30193 45252\n5081 7661\n32232 48332\n26412 39609\n75854 100000\n79585 100000\n69991 100000\n77621 100000\n13529 20316\n70857 100000\n41292 61881\n54825 82212\n56000 83982\n70943 100000\n48227 72323\n73184 100000\n72280 100000\n29203 43781\n98831 100000\n60665 91013\n14464 21711\n78644 100000\n1526 2299\n99991 100000\n98499 100000\n40195 60234\n68664 100000\n39171 58682\n29470 44186\n23631 35453\n68227 100000\n35404 53093\n87054 100000\n17571 26365\n51397 77114\n23122 34692\n87353 100000\n37331 55971\n19636 29442\n61343 92036\n99897 100000\n31981 47954\n62409 93628\n7807 11769\n53082 79629\n63089 94671\n25851 38764\n65451 98177\n4344 6533\n1088 1634\n93823 100000\n34192 51275\n16438 24672\n13362 20081\n31201 46770\n47564 71334\n68417 100000\n68165 100000\n12781 19231\n11107 16727\n44910 67294\n37735 56556\n86848 100000\n42539 63755\n87750 100000\n6257 9448\n45597 68332\n92091 100000\n1127 1698\n7537 11359\n7124 10741\n38549 57769\n82904 100000\n93781 100000\n42298 63399\n86196 100000\n38977 58399\n29501 44234\n43051 64506\n95195 100000\n3651 5481\n79910 100000\n14920 22385\n70131 100000\n11331 17059\n15341 23028\n31832 47729\n49553 74326\n75480 100000\n51692 77551\n55841 83745\n46467 69675\n32178 48253\n96701 100000\n83187 100000\n54085 81142\n93888 100000\n94695 100000\n66135 99203\n40170 60198\n2770 4163\n64490 96748\n70211 100000\n80795 100000\n20851 31256\n518 773\n34632 51948\n58007 87026\n54395 81594\n35962 53930\n39299 58873\n78577 100000\n12197 18360\n85299 100000\n22234 33381\n61686 92544\n31924 47862\n85104 100000\n17636 26456\n62383 93591\n925 1388\n4261 6409\n10033 15116\n97884 100000\n37208 55781\n57791 86696\n6180 9331\n68665 100000\n97927 100000\n35323 52971\n14556 21847\n91189 100000\n53242 79870\n53124 79694\n23698 35550\n62899 94374\n60619 90945\n7164 10800\n83531 100000\n42880 64244\n24358 36520\n85654 100000\n1733 2602\n13245 19907\n76211 100000\n3828 5744\n49846 74757\n68957 100000\n1541 2320\n12207 18377\n24474 36693\n18844 28247\n96584 100000\n72060 100000\n50497 75739\n40916 61322\n72350 100000\n16616 24931\n73836 100000\n10357 15599\n47023 70525\n34981 52468\n86104 100000\n39846 59708\n91137 100000\n23596 35401\n76669 100000\n76128 100000\n68510 100000\n19335 28990\n82760 100000\n94660 100000\n23777 35667\n11941 17968\n375 550\n13611 20435\n33828 50734\n97822 100000\n85145 100000\n90080 100000\n91067 100000\n82685 100000\n43279 64853\n54000 81012\n50089 75120\n51265 76918\n8351 12563\n62438 93671\n16173 24268\n87197 100000\n84904 100000\n1025 1542\n63055 94616\n88207 100000\n77048 100000\n32913 49362\n40564 60781\n90690 100000\n22892 34351\n81357 100000\n81742 100000\n31343 46986\n23797 35696\n81765 100000\n80911 100000\n18226 27309\n41734 62558\n83762 100000\n26964 40414\n80089 100000\n3036 4565\n71195 100000\n84783 100000\n42187 63234\n25025 37522\n58669 88011\n52974 79456\n57201 85812\n15706 23573\n85644 100000\n53587 80395\n58210 87331\n3380 5078\n3827 5743\n74703 100000\n29928 44871\n83440 100000\n26391 39574\n67725 100000\n3013 4529\n20989 31461\n60057 90112\n57383 86091\n11900 17904\n50864 76306\n81151 100000\n11878 17872\n25509 38241\n65410 98116\n26549 39803\n93655 100000\n50534 75793\n26443 39650\n58029 87059\n50603 75897\n66571 99858\n59812 89742\n2321 3487\n13097 19695\n60360 90556\n14126 21200\n10082 15189\n8216 12367\n97782 100000\n21209 31799\n98543 100000\n33526 50285\n68121 100000\n86528 100000\n75699 100000\n92633 100000\n81545 100000\n34948 52420\n10075 15179\n34111 51155\n43970 65883\n32688 49024\n10356 15597\n76567 100000\n68794 100000\n12375 18623\n95506 100000\n56467 84691\n32020 48019\n67124 100000\n41170 61704\n10872 16373\n6718 10149\n4327 6508\n63708 95576\n92207 100000\n41793 62640\n14716 22082\n31808 47693\n52867 79297\n72209 100000\n44537 66747\n64848 97277\n71927 100000\n29453 44159\n81801 100000\n263 387\n21389 32071\n41528 62244\n22923 34396\n20670 30998\n20455 30668\n37583 56338\n82388 100000\n52884 79324\n79304 100000\n55469 83190\n10045 15136\n13368 20089\n80342 100000\n85305 100000\n19192 28782\n51614 77433\n69249 100000\n50722 76086\n70570 100000\n29177 43745\n34385 51571\n74918 100000\n35660 53476\n54773 82135\n52769 79149\n52014 78027\n83256 100000\n2390 3588\n75027 100000\n74364 100000\n60853 91293\n81224 100000\n34149 51211\n43613 65345\n74104 100000\n80271 100000\n52734 79102\n74522 100000\n44297 66378\n39220 58759\n65139 97716\n64762 97155\n75029 100000\n41197 61744\n2533 3806\n2477 3716\n43930 65823\n54141 81220\n77132 100000\n17083 25632\n72505 100000\n46419 69605\n49674 74512\n67357 100000\n70441 100000\n5579 8418\n1888 2828\n69857 100000\n95720 100000\n33992 50978\n86350 100000\n67368 100000\n37207 55780\n16358 24555\n3212 4825\n75399 100000\n90419 100000\n24636 36931\n68796 100000\n24458 36671\n25723 38572\n21992 33003\n48375 72540\n45363 67977\n48442 72643\n28663 42966\n766 1147\n98383 100000\n15500 23260\n35296 52932\n6074 9173\n35067 52590\n85044 100000\n79707 100000\n70845 100000\n75404 100000\n18965 28434\n83629 100000\n36621 54923\n39332 58923\n30363 45498\n22911 34379\n62041 93075\n67167 100000\n60309 90485\n91640 100000\n10060 15159\n61028 91560\n47302 70934\n91164 100000\n68104 100000\n36543 54808\n57408 86127\n17775 26664\n35593 53378\n68521 100000\n13920 20901\n68171 100000\n38850 58206\n79210 100000\n38982 58407\n3198 4804\n94390 100000\n34259 51373\n13213 19858\n9197 13835\n76227 100000\n50459 75679\n13081 19670\n1095 1644\n11546 17383\n48981 73456\n13583 20395\n60469 90721\n62231 93360\n69751 100000\n20563 30841\n48676 73007\n66267 99396\n45671 68457\n80972 100000\n19378 29052\n21696 32546\n7298 11001\n65658 98488\n13530 20318\n15870 23807\n4609 6933\n57580 86382\n28437 42627\n22490 33753\n43839 65687\n22121 33201\n86484 100000\n97193 100000\n1511 2277\n40682 60959\n92591 100000\n28228 42318\n38242 57309\n1187 1790\n55741 83591\n69580 100000\n17731 26596\n65492 98238\n69486 100000\n50205 75300\n12418 18686\n28906 43339\n57962 86954\n21637 32450\n9643 14505\n73272 100000\n54798 82170\n85883 100000\n68105 100000\n936 1405\n71061 100000\n70658 100000\n3170 4764\n90423 100000\n80085 100000\n22428 33667\n23440 35165\n30803 46179\n57847 86780\n89496 100000\n23994 35988\n59772 89685\n9864 14845\n57440 86173\n51774 77666\n54067 81115\n48726 73079\n75687 100000\n33691 50531\n42577 63810\n16269 24413\n19383 29059\n91834 100000\n97008 100000\n25388 38061\n75007 100000\n75653 100000\n65077 97621\n13269 19941\n44457 66624\n68813 100000\n75279 100000\n29222 43811\n76097 100000\n1919 2870\n96481 100000\n33110 49673\n75381 100000\n54071 81121\n32852 49270\n55588 83366\n29477 44197\n93710 100000\n15300 22961\n22115 33191\n58616 87929\n75185 100000\n3119 4687\n93752 100000\n70896 100000\n80291 100000\n90656 100000\n36860 55280\n8383 12617\n70464 100000\n28293 42415\n65969 98944\n72391 100000\n90546 100000\n71139 100000\n62406 93625\n12665 19061\n34771 52157\n87067 100000\n70861 100000\n39911 59802\n52503 78754\n51303 76972\n87645 100000\n92600 100000\n42790 64114\n35840 53744\n27449 41139\n58096 87162\n22713 34078\n87293 100000\n91761 100000\n99133 100000\n48347 72499\n40610 60851\n41824 62687\n28355 42506\n27462 41160\n2209 3311\n69897 100000\n4174 6270\n57692 86553\n92854 100000\n57061 85598\n20008 30010\n3329 5004\n55516 83261\n39631 59370\n96737 100000\n12811 19277\n4816 7254\n20354 30516\n675 1007\n35974 53948\n80837 100000\n81388 100000\n95026 100000\n44158 66166\n26205 39299\n48518 72763\n8243 12404\n88503 100000\n24502 36735\n51885 77830\n45551 68262\n57216 85831\n79165 100000\n88905 100000\n64033 96071\n41768 62605\n53416 80122\n50991 76510\n78258 100000\n30921 46359\n43380 64999\n96143 100000\n87032 100000\n63233 94881\n26556 39814\n91671 100000\n10352 15589\n15103 22661\n70486 100000\n31178 46738\n84260 100000\n89249 100000\n50618 75920\n89190 100000\n17367 26055\n21963 32959\n93839 100000\n19303 28944\n29813 44699\n42232 63298\n46475 69686\n81763 100000\n66506 99761\n29922 44861\n42147 63178\n44552 66775\n41850 62724\n58331 87514\n75973 100000\n53508 80268\n86898 100000\n7289 10988\n2733 4107\n94118 100000\n31932 47873\n85082 100000\n55019 82496\n88954 100000\n91855 100000\n51950 77926\n4313 6486\n8695 13089\n42428 63596\n23489 35243\n62584 93889\n99609 100000\n88474 100000\n49736 74599\n64923 97394\n77300 100000\n91822 100000\n9499 14289\n41737 62562\n47596 71379\n53985 80987\n32292 48428\n74231 100000\n54282 81429\n23034 34561\n85076 100000\n37935 56850\n36154 54217\n37544 56280\n37445 56133\n21244 31848\n14416 21639\n18988 28471\n30564 45817\n57197 85806\n94722 100000\n23410 35120\n9029 13588\n3258 4895\n23751 35632\n8722 13127\n94531 100000\n31014 46494\n90265 100000\n69139 100000\n29176 43743\n58603 87907\n58597 87899\n4875 7348\n39825 59673\n87806 100000\n16871 25300\n87847 100000\n33759 50630\n19968 29946\n71200 100000\n33939 50892\n92543 100000\n77217 100000\n6391 9654\n41751 62579\n98390 100000\n39795 59629\n96176 100000\n34216 51313\n80118 100000\n17011 25516\n27097 40618\n64960 97448\n3627 5448\n60340 90529\n24455 36668\n284 417\n67673 100000\n85399 100000\n87979 100000\n84777 100000\n13627 20460\n13453 20214\n36159 54224\n69064 100000\n38405 57556\n28504 42735\n72144 100000\n52454 78686\n79499 100000\n54127 81200\n31220 46800\n9380 14107\n44663 66936\n32057 48075\n82752 100000\n22104 33175\n75748 100000\n54284 81432\n80392 100000\n24325 36476\n99920 100000\n54110 81177\n95651 100000\n36580 54861\n48022 72012\n22900 34361\n88946 100000\n23588 35389\n1864 2790\n16689 25040\n84511 100000\n71848 100000\n92931 100000\n31742 47592\n42660 63932\n87262 100000\n48115 72150\n414 610\n98158 100000\n98662 100000\n62412 93634\n27935 41879\n71411 100000\n68285 100000\n62871 94328\n65360 98040\n17887 26833\n9444 14207\n45839 68704\n18674 27993\n59886 89851\n39053 58509\n15767 23657\n81046 100000\n18083 27109\n51978 77969\n27826 41716\n10061 15160\n57140 85722\n3652 5482\n76168 100000\n87787 100000\n41854 62731\n80259 100000\n26951 40396\n10533 15856\n58600 87903\n4808 7241\n63338 95029\n2099 3147\n97750 100000\n10469 15764\n97183 100000\n29891 44812\n17445 26171\n93092 100000\n7102 10705\n52520 78781\n69225 100000\n68986 100000\n42959 64363\n34797 52196\n55442 83149\n95943 100000\n47356 71014\n28512 42746\n49278 73898\n74015 100000\n29998 44977\n37657 56444\n60836 91265\n15152 22738\n51686 77544\n61340 92031\n24093 36130\n52090 78141\n29247 43847\n30368 45505\n62337 93519\n29613 44397\n48028 72023\n95215 100000\n47453 71162\n64070 96125\n72822 100000\n41553 62280\n68525 100000\n31500 47228\n26914 40342\n91950 100000\n52807 79210\n33659 50485\n26648 39952\n89442 100000\n92974 100000\n30361 45495\n73775 100000\n36670 54993\n15878 23819\n39007 58440\n48089 72116\n46992 70474\n85977 100000\n8881 13359\n75802 100000\n27974 41944\n54965 82417\n76378 100000\n42315 63426\n77100 100000\n91716 100000\n47507 71247\n81413 100000\n6805 10277\n27856 41762\n69140 100000\n23252 34888\n18082 27108\n99522 100000\n85602 100000\n12802 19265\n22403 33625\n77076 100000\n46140 69166\n37724 56539\n25997 38986\n86106 100000\n23168 34758\n61913 92890\n83600 100000\n76322 100000\n41961 62896\n41525 62240\n9538 14349\n25493 38216\n66307 99461\n27526 41265\n89337 100000\n49307 73947\n53961 80951\n37149 55702\n66595 99895\n9154 13771\n81996 100000\n25945 38908\n18159 27217\n28629 42915\n47630 71436\n83836 100000\n92002 100000\n18610 27887\n36072 54088\n82411 100000\n58623 87941\n60368 90570\n55920 83867\n17186 25784\n60347 90540\n27171 40725\n85247 100000\n2602 3908\n49462 74179\n66686 100000\n11687 17585\n76927 100000\n70801 100000\n91440 100000\n51022 76554\n5609 8460\n67231 100000\n64642 96977\n23097 34654\n62315 93484\n54886 82304\n10949 16491\n63997 96021\n25556 38309\n85567 100000\n20592 30889\n15401 23113\n71794 100000\n33573 50353\n50316 75463\n85430 100000\n77754 100000\n22085 33143\n42436 63606\n41527 62243\n67596 100000\n61016 91542\n58339 87524\n95594 100000\n37368 56025\n42975 64389\n83467 100000\n80484 100000\n10168 15321\n35598 53384\n38395 57541\n43918 65807\n52461 78696\n96029 100000\n76072 100000\n31017 46500\n31291 46908\n54222 81339\n58006 87024\n42194 63245\n26593 39866\n36830 55238\n53388 80076\n97071 100000\n40267 60340\n92117 100000\n19708 29554\n56673 85008\n83860 100000\n60993 91507\n24060 36084\n53525 80291\n1049 1577\n28642 42934\n7142 10772\n94889 100000\n97869 100000\n19978 29962\n45992 68942\n52450 78680\n44646 66908\n3592 5395\n79729 100000\n47439 71141\n30168 45218\n71350 100000\n41872 62762\n13876 20836\n3353 5036\n51279 76939\n78565 100000\n87057 100000\n90110 100000\n17918 26873\n52858 79283\n92336 100000\n27176 40734\n71838 100000\n49782 74667\n68280 100000\n79995 100000\n57816 86729\n79335 100000\n86162 100000\n96582 100000\n2050 3070\n46014 68975\n38514 57721\n38772 58086\n53223 79843\n11160 16805\n41969 62908\n45944 68867\n7692 11593\n82141 100000\n26525 39768\n64253 96396\n63591 95403\n31978 47948\n23666 35508\n97729 100000\n64855 97289\n56081 84104\n16696 25052\n13205 19847\n20773 31147\n21719 32580\n83360 100000\n48881 73306\n84262 100000\n53761 80657\n68028 100000\n90919 100000\n74849 100000\n49959 74928\n99919 100000\n18599 27871\n18663 27975\n40860 61232\n82385 100000\n4672 7036\n57582 86385\n87247 100000\n23696 35548\n20223 30333\n74136 100000\n21604 32394\n53983 80983\n35522 53270\n94852 100000\n89340 100000\n47441 71144\n32850 49266\n73265 100000\n63522 95305\n47320 70960\n37239 55830\n28040 42051\n92497 100000\n25772 38646\n60542 90835\n70152 100000\n65072 97613\n19479 29203\n39966 59891\n52497 78745\n76731 100000\n26897 40317\n27255 40852\n36456 54673\n1933 2889\n8181 12318\n32552 48828\n10993 16556\n26201 39291\n3506 5269\n15460 23201\n34188 51269\n58720 88084\n55030 82513\n26489 39718\n18064 27081\n59266 88910\n73899 100000\n51584 77387\n87066 100000\n99447 100000\n99390 100000\n88388 100000\n68612 100000\n76996 100000\n7001 10563\n48674 73003\n83865 100000\n34417 51617\n92625 100000\n39118 58600\n48689 73025\n38432 57596\n49109 73639\n34986 52474\n92425 100000\n57845 86776\n45910 68816\n58965 88451\n44817 67156\n15919 23881\n68768 100000\n62375 93578\n82826 100000\n50646 75958\n75946 100000\n72702 100000\n66775 100000\n96252 100000\n11074 16676\n45446 68099\n68182 100000\n58451 87687\n35900 53833\n73663 100000\n16891 25333\n97451 100000\n78 119\n51460 77199\n22485 33747\n50744 76122\n59641 89484\n34549 51820\n39881 59762\n64375 96581\n72020 100000\n63864 95818\n62161 93257\n83296 100000\n16116 24182\n5276 7962\n5774 8708\n21703 32555\n45383 68008\n44089 66066\n56939 85410\n99583 100000\n75648 100000\n13217 19866\n99283 100000\n75959 100000\n96379 100000\n8952 13469\n51330 77017\n13029 19590\n76939 100000\n52628 78948\n25249 37852\n93956 100000\n72082 100000\n60925 91404\n18776 28149\n16472 24721\n92076 100000\n15746 23627\n39180 58697\n85323 100000\n46935 70386\n56507 84747\n55678 83499\n8591 12938\n19409 29101\n59257 88895\n57673 86521\n89432 100000\n28120 42158\n20398 30584\n15116 22680\n69640 100000\n40131 60138\n9413 14161\n73990 100000\n29792 44672\n58094 87158\n69909 100000\n16456 24698\n16433 24665\n93161 100000\n16859 25283\n42916 64301\n74274 100000\n83984 100000\n90465 100000\n54733 82079\n26986 40447\n97046 100000\n19718 29570\n25230 37823\n81271 100000\n86780 100000\n38347 57465\n82511 100000\n1889 2829\n96624 100000\n9222 13870\n80204 100000\n65029 97554\n64591 96900\n66842 100000\n81662 100000\n37695 56498\n41816 62674\n38176 57209\n30581 45844\n64117 96197\n76671 100000\n18799 28179\n36677 55001\n3123 4694\n92429 100000\n57200 85810\n77496 100000\n71251 100000\n63513 95293\n63036 94587\n76047 100000\n69683 100000\n22003 33022\n4445 6694\n37710 56517\n29305 43936\n63612 95436\n89645 100000\n55113 82642\n54739 82090\n67805 100000\n91945 100000\n35325 52973\n41086 61586\n85236 100000\n1213 1824\n8122 12230\n27663 41469\n17307 25967\n28388 42554\n38004 56956\n36441 54649\n4652 7002\n32304 48445\n18817 28208\n6673 10082\n86804 100000\n60482 90742\n68250 100000\n78238 100000\n40871 61250\n54714 82051\n86523 100000\n57352 86045\n23551 35330\n60208 90340\n55090 82605\n6882 10393\n42554 63777\n2944 4429\n95876 100000\n76188 100000\n33177 49770\n27799 41669\n85961 100000\n74116 100000\n9851 14825\n52253 78389\n53439 80160\n26477 39698\n49387 74067\n14347 21537\n13451 20210\n20473 30696\n40863 61236\n96805 100000\n8136 12250\n40390 60525\n70587 100000\n26755 40108\n15066 22604\n83145 100000\n69894 100000\n15603 23420\n18368 27524\n27523 41259\n58229 87359\n3997 6002\n87461 100000\n94115 100000\n81956 100000\n73011 100000\n2354 3540\n69478 100000\n84740 100000\n49975 74952\n32042 48051\n58338 87522\n84745 100000\n84182 100000\n64446 96688\n58318 87494\n20239 30355\n21420 32120\n11618 17492\n66414 99620\n55964 83933\n5865 8848\n18422 27605\n79476 100000\n14178 21277\n59749 89649\n74361 100000\n11486 17294\n99944 100000\n60533 90822\n6748 10191\n79134 100000\n38633 57893\n87244 100000\n96027 100000\n77400 100000\n53330 79992\n41582 62322\n11476 17279\n8682 13071\n23980 35969\n72973 100000\n77328 100000\n42697 63982\n84043 100000\n60015 90048\n97034 100000\n94071 100000\n44113 66102\n69233 100000\n2626 3944\n57129 85705\n25521 38257\n5379 8120\n93680 100000\n76300 100000\n27950 41901\n65219 97833\n94574 100000\n17074 25618\n55555 83317\n47750 71612\n60158 90266\n19631 29436\n15393 23103\n69621 100000\n48297 72427\n4126 6195\n47695 71533\n91384 100000\n37 54\n65049 97580\n68169 100000\n94438 100000\n22649 33981\n96670 100000\n25462 38171\n85881 100000\n9763 14690\n8915 13414\n87488 100000\n3464 5211\n71084 100000\n98874 100000\n94596 100000\n84905 100000\n20793 31174\n54073 81125\n6079 9182\n33026 49541\n6203 9364\n12169 18319\n58 88\n34457 51674\n73275 100000\n19363 29028\n50249 75362\n78519 100000\n20786 31163\n43534 65230\n35858 53772\n91670 100000\n8660 13037\n38065 57043\n57729 86608\n26364 39535\n9268 13942\n7816 11781\n51527 77298\n16602 24909\n91682 100000\n58285 87445\n59951 89952\n59526 89307\n22052 33099\n39213 58749\n77657 100000\n36401 54589\n66429 99641\n62636 93974\n40584 60813\n27750 41598\n96331 100000\n87493 100000\n94782 100000\n15427 23154\n33765 50639\n10792 16254\n75554 100000\n53460 80195\n14141 21223\n69846 100000\n22430 33669\n53122 79692\n8160 12288\n67470 100000\n36492 54731\n8535 12857\n44216 66250\n31249 46846\n59006 88512\n54449 81666\n389 572\n50353 75516\n52123 78193\n69163 100000\n58418 87638\n81168 100000\n76863 100000\n86353 100000\n16476 24727\n34511 51758\n32048 48061\n98588 100000\n44895 67273\n18728 28080\n55686 83511\n29571 44337\n49937 74892\n67086 100000\n87325 100000\n26952 40398\n455 677\n41056 61542\n57090 85641\n14482 21735\n32536 48800\n28696 43017\n77054 100000\n17570 26363\n54050 81088\n60409 90631\n53468 80207\n92685 100000\n44228 66269\n10611 15982\n91040 100000\n1475 2220\n25880 38808\n77208 100000\n86214 100000\n47372 71039\n65551 98325\n71970 100000\n12995 19539\n37656 56442\n65666 98499\n13078 19664\n20467 30687\n86613 100000\n15908 23863\n9053 13623\n84621 100000\n51299 76968\n65155 97741\n48341 72490\n85096 100000\n52553 78835\n59250 88885\n62477 93729\n26458 39671\n66721 100000\n63496 95269\n78338 100000\n22269 33430\n47782 71661\n63993 96015\n90912 100000\n18777 28151\n41140 61663\n43789 65610\n36699 55034\n45679 68468\n54275 81419\n46908 70344\n47114 70648\n37530 56257\n52748 79121\n13853 20799\n58071 87122\n6987 10543\n73028 100000\n98260 100000\n63108 94701\n2458 3689\n55212 82785\n72257 100000\n29392 44066\n78759 100000\n79144 100000\n89174 100000\n36165 54232\n31476 47192\n70156 100000\n69850 100000\n57194 85801\n9853 14829\n16291 24447\n2006 3002\n5757 8679\n78039 100000\n74077 100000\n25006 37490\n34357 51526\n53678 80531\n43235 64786\n53877 80827\n94397 100000\n47774 71650\n46420 69606\n78383 100000\n45739 68557\n17153 25736\n45214 67755\n67177 100000\n42472 63664\n55207 82778\n68214 100000\n23734 35608\n55995 83976\n9963 15008\n59273 88923\n33001 49502\n98188 100000\n57182 85784\n91724 100000\n46159 69198\n7451 11230\n28160 42216\n21674 32513\n71529 100000\n34103 51145\n54940 82381\n65250 97878\n12387 18640\n66492 99739\n37991 56937\n17689 26537\n17770 26656\n48395 72571\n79668 100000\n70453 100000\n73496 100000\n15397 23107\n59164 88752\n76519 100000\n10271 15472\n25447 38147\n50726 76093\n29945 44897\n43379 64997\n61147 91743\n24762 37121\n18145 27197\n47753 71617\n65623 98435\n38831 58177\n62961 94473\n73805 100000\n60106 90186\n23454 35185\n94789 100000\n11448 17240\n69012 100000\n97953 100000\n31330 46968\n98493 100000\n80900 100000\n25671 38489\n37633 56408\n34546 51815\n73251 100000\n5038 7595\n91587 100000\n567 852\n67180 100000\n53574 80374\n30591 45857\n63718 95594\n74876 100000\n4648 6995\n59516 89292\n35315 52958\n2543 3824\n56208 84301\n99159 100000\n69955 100000\n5039 7597\n16677 25022\n17724 26586\n73828 100000\n45891 68783\n69325 100000\n57031 85553\n51745 77623\n36466 54690\n1652 2481\n34189 51271\n52817 79223\n74021 100000\n62936 94432\n61088 91652\n63029 94577\n84498 100000\n44955 67361\n56648 84972\n68994 100000\n39152 58652\n92206 100000\n23573 35363\n65814 98711\n50221 75322\n62299 93460\n29321 43959\n48410 72592\n18978 28455\n60041 90086\n97349 100000\n37940 56857\n35946 53906\n27812 41690\n20771 31144\n12935 19445\n75384 100000\n90813 100000\n31495 47219\n54768 82130\n92203 100000\n20844 31246\n48970 73439\n52671 79008\n18832 28229\n36897 55333\n15017 22531\n12784 19234\n90185 100000\n5720 8628\n31530 47270\n62308 93472\n27686 41503\n37856 56738\n80794 100000\n2505 3761\n61066 91620\n94398 100000\n25108 37650\n66877 100000\n96821 100000\n63370 95079\n74353 100000\n32239 48342\n45928 68841\n12500 18815\n2764 4154\n81451 100000\n10180 15338\n43042 64492\n51017 76548\n12349 18588\n29265 43878\n13802 20724\n96488 100000\n95919 100000\n93097 100000\n89233 100000\n96342 100000\n13022 19578\n21302 31933\n50298 75436\n44187 66212\n33436 50154\n39788 59617\n38697 57982\n20345 30502\n87452 100000\n53630 80461\n74459 100000\n20227 30338\n24393 36574\n86238 100000\n11697 17602\n51594 77403\n16032 24055\n84302 100000\n87105 100000\n28411 42590\n3532 5304\n65309 97960\n40355 60475\n56284 84413\n54475 81706\n79821 100000\n10035 15120\n57457 86200\n25392 38066\n59948 89948\n88815 100000\n77668 100000\n43236 64787\n99930 100000\n84627 100000\n28197 42269\n79631 100000\n36774 55151\n23525 35292\n56496 84732\n55585 83362\n54459 81681\n76581 100000\n58794 88194\n42829 64169\n53651 80490\n86349 100000\n17786 26682\n94662 100000\n90004 100000\n51035 76571\n80665 100000\n14693 22051\n11442 17229\n30659 45956\n88301 100000\n50755 76139\n1112 1674\n98039 100000\n3907 5868\n13696 20563\n80930 100000\n38406 57557\n57329 86007\n58768 88156\n61001 91520\n67873 100000\n99667 100000\n5075 7653\n82342 100000\n55941 83900\n32562 48840\n98451 100000\n39791 59622\n8993 13530\n65437 98155\n32019 48018\n79730 100000\n64776 97173\n97454 100000\n69079 100000\n39194 58719\n99483 100000\n3461 5208\n64118 96198\n44231 66274\n7384 11129\n63850 95799\n25189 37766\n43468 65131\n59682 89546\n70455 100000\n81214 100000\n51608 77425\n77031 100000\n36196 54275\n90610 100000\n9741 14655\n38164 57189\n59585 89398\n79231 100000\n83907 100000\n23876 35809\n74805 100000\n72477 100000\n31143 46684\n73370 100000\n42796 64123\n73316 100000\n12613 18979\n88429 100000\n17438 26159\n55129 82668\n64019 96050\n12816 19283\n39929 59834\n75537 100000\n39234 58781\n39243 58793\n60470 90723\n24091 36128\n11789 17732\n51764 77651\n1432 2156\n6193 9350\n65178 97771\n44612 66859\n62816 94244\n77174 100000\n14595 21905\n94572 100000\n69891 100000\n40353 60471\n99692 100000\n47462 71176\n35189 52775\n12631 19006\n64204 96321\n56250 84362\n73315 100000\n12810 19276\n19712 29561\n31595 47366\n46853 70264\n23606 35417\n15226 22857\n15501 23261\n26321 39472\n65685 98529\n30707 46028\n4259 6405\n45488 68159\n56636 84953\n60554 90855\n18379 27541\n48687 73022\n77779 100000\n23427 35143\n41944 62870\n17418 26132\n7527 11341\n54558 81821\n35772 53644\n97158 100000\n41568 62305\n44385 66507\n47178 70745\n49157 73713\n42684 63966\n28291 42413\n33483 50226\n7229 10895\n92792 100000\n39212 58747\n62963 94476\n47051 70559\n16492 24752\n39429 59067\n51982 77974\n41556 62284\n44999 67426\n96842 100000\n84013 100000\n25734 38589\n60069 90131\n72194 100000\n17125 25693\n94221 100000\n85375 100000\n16980 25470\n13366 20087\n39085 58552\n69704 100000\n68560 100000\n77978 100000\n17553 26335\n40435 60590\n93502 100000\n28718 43051\n43180 64700\n80133 100000\n8771 13201\n60596 90911\n2806 4217\n46371 69532\n32540 48807\n26416 39615\n10906 16423\n15666 23514\n73406 100000\n50169 75243\n92952 100000\n77709 100000\n6891 10404\n72218 100000\n37756 56588\n82287 100000\n49686 74532\n87603 100000\n49654 74478\n61434 92173\n15317 22986\n41506 62209\n26474 39693\n37012 55497\n34674 52010\n4705 7087\n32681 49015\n69807 100000\n34363 51536\n84321 100000\n57143 85725\n43059 64520\n20803 31186\n81114 100000\n72631 100000\n26711 40050\n48638 72949\n99422 100000\n69311 100000\n76398 100000\n71014 100000\n29302 43932\n55598 83381\n90366 100000\n61992 93003\n82384 100000\n26352 39515\n49059 73572\n38677 57952\n99478 100000\n67719 100000\n6995 10554\n24567 36831\n73449 100000\n46353 69504\n37914 56821\n12725 19154\n87743 100000\n76598 100000\n14158 21247\n26763 40121\n84608 100000\n74089 100000\n57942 86926\n17006 25506\n95559 100000\n11157 16799\n59264 88906\n69182 100000\n48020 72009\n62084 93142\n90601 100000\n97299 100000\n63395 95117\n90742 100000\n36669 54992\n4372 6574\n13253 19918\n32735 49098\n24888 37314\n80498 100000\n17832 26748\n72876 100000\n19897 29838\n67181 100000\n37739 56562\n8850 13315\n28677 42988\n38327 57439\n7471 11261\n61624 92451\n32639 48950\n70151 100000\n21011 31497\n20697 31034\n74166 100000\n33576 50358\n13411 20153\n29201 43778\n53151 79732\n18981 28460\n34226 51325\n18811 28198\n17141 25717\n3092 4647\n60465 90716\n9612 14458\n71359 100000\n46354 69506\n6077 9178\n43322 64920\n87111 100000\n98578 100000\n52652 78979\n4991 7526\n43582 65299\n63416 95152\n11891 17890\n63429 95169\n31202 46771\n93871 100000\n46967 70434\n90527 100000\n27465 41164\n67027 100000\n96272 100000\n6451 9741\n5709 8613\n36595 54884\n2781 4180\n30103 45127\n22778 34175\n70870 100000\n32833 49243\n1753 2628\n41452 62125\n32533 48796\n28936 43380\n91790 100000\n44757 67072\n95265 100000\n55211 82783\n6052 9142\n73472 100000\n95270 100000\n22985 34492\n56805 85206\n38727 58022\n22551 33843\n65494 98241\n72954 100000\n93334 100000\n6646 10038\n41137 61658\n69776 100000\n95932 100000\n89566 100000\n51995 77998\n44130 66127\n42947 64346\n4065 6099\n97896 100000\n41235 61799\n10339 15572\n72322 100000\n13209 19852\n42852 64205\n65544 98316\n39263 58821\n15557 23349\n67643 100000\n72685 100000\n57663 86507\n29133 43675\n34178 51252\n60075 90141\n46732 70075\n17814 26724\n71339 100000\n57558 86350\n43392 65017\n37483 56189\n90582 100000\n57543 86329\n4156 6242\n274 401\n88995 100000\n79932 100000\n3098 4654\n15259 22902\n3689 5538\n2080 3118\n39827 59677\n42347 63475\n92198 100000\n75602 100000\n5442 8211\n75654 100000\n1612 2418\n5246 7915\n5207 7856\n12446 18729\n38510 57715\n39883 59764\n19011 28505\n77542 100000\n64683 97042\n10973 16525\n66393 99591\n44543 66759\n62985 94509\n9533 14340\n9751 14669\n4656 7008\n43433 65080\n93745 100000\n72315 100000\n1150 1736\n79357 100000\n4003 6009\n37238 55829\n14242 21369\n9900 14902\n23288 34941\n62800 94215\n48635 72945\n14954 22435\n75920 100000\n3951 5930\n24756 37111\n21241 31844\n55649 83457\n84839 100000\n28824 43209\n15016 22530\n10724 16155\n15815 23725\n1875 2807\n36808 55202\n97680 100000\n26567 39830\n59612 89441\n5315 8022\n18640 27938\n10432 15711\n35843 53749\n33894 50828\n67230 100000\n37892 56790\n58870 88302\n73013 100000\n7006 10569\n80564 100000\n82034 100000\n1703 2560\n58336 87520\n96424 100000\n94044 100000\n97810 100000\n3888 5838\n34706 52063\n12295 18507\n73182 100000\n95524 100000\n6967 10516\n56898 85349\n5129 7736\n21529 32280\n74601 100000\n89548 100000\n7037 10613\n59973 89982\n22826 34249\n26388 39570\n47007 70498\n65776 98657\n34264 51380\n85041 100000\n35352 53013\n59839 89782\n26868 40273\n40438 60595\n10765 16213\n79238 100000\n48057 72065\n24651 36956\n35869 53791\n9100 13691\n11104 16722\n62274 93421\n21779 32676\n31940 47886\n74707 100000\n58033 87066\n5551 8372\n43166 64677\n46605 69882\n90831 100000\n60749 91134\n75259 100000\n58144 87232\n9088 13676\n32327 48479\n66643 99970\n7542 11368\n87119 100000\n50200 75293\n63300 94975\n73403 100000\n21028 31522\n16601 24907\n19529 29282\n17443 26167\n1063 1597\n95840 100000\n90145 100000\n61851 92794\n52833 79246\n60757 91145\n5663 8541\n14420 21645\n88482 100000\n61975 92981\n1821 2726\n16836 25248\n2183 3272\n7528 11343\n52297 78451\n56936 85404\n34347 51510\n20823 31215\n95849 100000\n17763 26646\n97571 100000\n15003 22510\n73476 100000\n35015 52515\n68809 100000\n7982 12028\n70189 100000\n22414 33644\n50468 75693\n97590 100000\n73580 100000\n99792 100000\n25255 37861\n60403 90621\n25116 37661\n55274 82891\n58792 88191\n52500 78751\n58206 87325\n42113 63126\n28635 42923\n99065 100000\n62694 94056\n12270 18472\n56871 85309\n24084 36119\n67572 100000\n99279 100000\n4825 7270\n5093 7680\n20566 30846\n96933 100000\n66294 99439\n44567 66796\n48287 72411\n83274 100000\n86124 100000\n38887 58265\n10304 15520\n64577 96878\n44121 66112\n83386 100000\n90498 100000\n44504 66693\n1300 1954\n21823 32744\n14625 21951\n48432 72627\n26831 40218\n5437 8203\n652 975\n51567 77364\n85884 100000\n96517 100000\n69548 100000\n14480 21732\n22819 34238\n68633 100000\n81565 100000\n88220 100000\n69906 100000\n41641 62417\n56446 84658\n85134 100000\n72407 100000\n40423 60573\n90133 100000\n95103 100000\n52586 78884\n52096 78149\n1250 1881\n92324 100000\n18395 27567\n90689 100000\n63008 94545\n39063 58521\n78112 100000\n52876 79311\n71467 100000\n17148 25728\n50920 76395\n7148 10778\n61060 91608\n70871 100000\n25313 37947\n75011 100000\n88096 100000\n45460 68121\n88222 100000\n18354 27505\n16221 24341\n19672 29497\n94930 100000\n15160 22748\n6933 10465\n29340 43990\n93094 100000\n72128 100000\n76973 100000\n2836 4261\n96150 100000\n69086 100000\n74137 100000\n3826 5741\n67765 100000\n93183 100000\n17462 26198\n39368 58974\n15395 23105\n51627 77454\n72826 100000\n74381 100000\n20946 31401\n32436 48642\n80042 100000\n70793 100000\n73156 100000\n17089 25639\n38718 58010\n26050 39067\n55929 83882\n42318 63430\n67677 100000\n65866 98786\n85143 100000\n71220 100000\n80083 100000\n7347 11072\n38635 57895\n80022 100000\n50286 75419\n1247 1876\n8909 13404\n57590 86397\n33717 50569\n82813 100000\n43339 64942\n73372 100000\n37413 56091\n43806 65636\n45816 68670\n21800 32708\n92063 100000\n7372 11107\n20466 30686\n40464 60633\n3265 4907\n86011 100000\n4798 7226\n94443 100000\n9647 14510\n61935 92920\n72108 100000\n87795 100000\n72925 100000\n50071 75093\n71512 100000\n82879 100000\n36689 55019\n9516 14314\n24494 36724\n27811 41689\n42743 64045\n96891 100000\n73478 100000\n72252 100000\n42919 64305\n30429 45596\n22241 33390\n61795 92707\n21380 32054\n15323 22996\n25180 37750\n11322 17044\n164 246\n7785 11735\n96632 100000\n26933 40371\n42411 63570\n63524 95309\n19044 28558\n73777 100000\n74138 100000\n80076 100000\n30529 45761\n3349 5030\n97041 100000\n19666 29488\n3372 5065\n8976 13502\n79089 100000\n21742 32614\n29590 44364\n13396 20130\n10675 16079\n80797 100000\n62550 93836\n91475 100000\n82716 100000\n48679 73011\n206 304\n56992 85493\n77801 100000\n56851 85277\n11278 16983\n7651 11530\n14581 21885\n45201 67738\n980 1471\n87999 100000\n27383 41040\n6000 9065\n25172 37739\n21438 32146\n57727 86606\n66095 99145\n93583 100000\n94738 100000\n48364 72524\n87094 100000\n10386 15647\n42483 63678\n21523 32271\n12911 19411\n38658 57926\n24846 37250\n27467 41168\n31058 46560\n49444 74153\n9186 13818\n66083 99126\n4595 6914\n14689 22044\n64574 96874\n32658 48982\n59582 89393\n40257 60325\n80876 100000\n64112 96190\n33420 50127\n6282 9486\n5270 7953\n17325 25994\n52757 79133\n2001 2995\n44980 67398\n83087 100000\n23299 34961\n5808 8758\n4308 6477\n21735 32604\n84083 100000\n34628 51943\n58454 87690\n22380 33588\n8094 12194\n34879 52313\n37523 56248\n27605 41385\n18878 28298\n62948 94454\n12114 18234\n14541 21825\n35433 53138\n96590 100000\n96365 100000\n45292 67871\n50258 75374\n94546 100000\n43308 64900\n23404 35113\n89220 100000\n22131 33217\n41267 61845\n63735 95622\n65300 97948\n20701 31040\n88102 100000\n73031 100000\n32455 48673\n95193 100000\n38858 58218\n7630 11499\n66322 99484\n42266 63352\n78292 100000\n11373 17125\n42989 64410\n38084 57070\n59543 89332\n49257 73866\n55735 83581\n35920 53861\n88244 100000\n42835 64178\n99966 100000\n22167 33274\n6839 10326\n90741 100000\n91645 100000\n40812 61162\n98361 100000\n28541 42788\n34936 52399\n15456 23195\n4408 6634\n62266 93412\n35479 53204\n34645 51966\n61692 92555\n12880 19369\n88854 100000\n47816 71713\n81504 100000\n58335 87518\n26719 40059\n38690 57972\n43490 65160\n35112 52653\n84335 100000\n13104 19706\n5839 8805\n33232 49847\n5500 8296\n60645 90983\n35027 52531\n87940 100000\n82678 100000\n10966 16516\n29223 43813\n54211 81322\n81550 100000\n90577 100000\n44498 66684\n19743 29607\n36068 54083\n21142 31696\n14735 22108\n73963 100000\n32375 48549\n81259 100000\n7044 10625\n77554 100000\n16883 25321\n10068 15170\n4403 6626\n5410 8163\n77864 100000\n94518 100000\n70613 100000\n68936 100000\n31754 47610\n96840 100000\n76332 100000\n60457 90705\n89207 100000\n83561 100000\n44479 66657\n83589 100000\n6196 9353\n6368 9625\n89402 100000\n37896 56796\n45031 67472\n68478 100000\n61209 91834\n77925 100000\n26216 39316\n17842 26766\n4680 7049\n61306 91976\n45486 68156\n40528 60729\n79079 100000\n9827 14790\n73636 100000\n92949 100000\n40142 60158\n33674 50506\n90193 100000\n32539 48805\n4075 6116\n35993 53975\n46031 69001\n80349 100000\n24523 36764\n22486 33748\n30364 45500\n95448 100000\n35481 53206\n19029 28533\n90815 100000\n10575 15925\n44531 66739\n20700 31039\n31856 47764\n943 1415\n57289 85947\n30430 45598\n31387 47055\n91092 100000\n94379 100000\n76680 100000\n48634 72944\n91977 100000\n84144 100000\n20109 30160\n20442 30646\n20211 30314\n60970 91475\n38800 58130\n3218 4835\n45857 68732\n27352 40994\n19581 29359\n80086 100000\n34811 52216\n4949 7463\n59190 88790\n81968 100000\n32419 48617\n43975 65890\n87571 100000\n28480 42695\n50511 75761\n77860 100000\n76193 100000\n30670 45976\n39609 59339\n22533 33812\n38675 57950\n80928 100000\n42073 63063\n87161 100000\n53435 80154\n26667 39982\n72792 100000\n65869 98790\n37564 56311\n81298 100000\n31965 47928\n44120 66111\n40796 61137\n92162 100000\n1570 2362\n11039 16626\n90069 100000\n77880 100000\n68094 100000\n56626 84939\n21503 32243\n66901 100000\n90966 100000\n37689 56490\n16381 24587\n35874 53798\n3175 4770\n5329 8044\n6892 10406\n47971 71935\n79644 100000\n45693 68491\n89916 100000\n43581 65297\n95611 100000\n53165 79754\n90125 100000\n94032 100000\n12478 18780\n3379 5077\n44318 66408\n88495 100000\n63099 94685\n16895 25338\n73494 100000\n78246 100000\n56074 84093\n56332 84490\n92519 100000\n78215 100000\n51350 77050\n68122 100000\n61387 92101\n1555 2341\n56505 84744\n76696 100000\n98775 100000\n94311 100000\n51702 77566\n56985 85482\n31947 47895\n27830 41721\n99343 100000\n48662 72983\n3745 5620\n42666 63941\n16933 25391\n62291 93446\n52994 79487\n88031 100000\n26568 39831\n40780 61114\n58703 88059\n1374 2069\n67827 100000\n19450 29161\n48521 72768\n64657 96998\n75952 100000\n13727 20611\n78040 100000\n68922 100000\n62920 94406\n87598 100000\n31900 47829\n50855 76291\n88088 100000\n55014 82488\n75402 100000\n40463 60632\n8467 12748\n66521 99784\n20498 30736\n10005 15073\n63965 95973\n91261 100000\n45026 67464\n85681 100000\n56938 85408\n46257 69352\n9381 14108\n15871 23808\n20635 30950\n54283 81430\n46984 70461\n49297 73929\n92096 100000\n68113 100000\n61316 91993\n53233 79856\n89208 100000\n93562 100000\n1248 1877\n95553 100000\n46439 69634\n99260 100000\n31205 46777\n74620 100000\n34748 52122\n3885 5832\n85335 100000\n40999 61452\n27512 41240\n11554 17393\n20887 31311\n8503 12803\n37105 55632\n18067 27086\n23520 35285\n86872 100000\n76210 100000\n91466 100000\n99933 100000\n73557 100000\n45191 67721\n6853 10347\n14952 22433\n23448 35177\n95352 100000\n75108 100000\n95307 100000\n35239 52850\n73830 100000\n36906 55346\n81563 100000\n36426 54628\n3879 5821\n62862 94314\n43389 65012\n82553 100000\n26899 40320\n27128 40664\n10538 15864\n66226 99332\n307 450\n11262 16959\n73575 100000\n94380 100000\n74576 100000\n24155 36226\n54790 82160\n36707 55047\n82159 100000\n86531 100000\n4347 6537\n64905 97366\n39880 59760\n96648 100000\n27806 41680\n50084 75113\n38948 58355\n38380 57518\n26972 40427\n14937 22409\n1534 2310\n78646 100000\n60827 91248\n2468 3704\n32439 48647\n36482 54712\n87701 100000\n9187 13820\n96149 100000\n46319 69447\n23211 34826\n67083 100000\n47957 71918\n32720 49074\n34100 51139\n23988 35980\n74998 100000\n26538 39786\n25306 37937\n38762 58071\n60702 91071\n69069 100000\n46913 70353\n70429 100000\n61803 92718\n76907 100000\n15750 23633\n46279 69389\n40985 61429\n56560 84834\n92171 100000\n31280 46891\n64788 97187\n971 1459\n39438 59080\n65079 97624\n24813 37202\n25738 38595\n13075 19660\n91053 100000\n28019 42018\n59439 89172\n4661 7017\n64415 96640\n50393 75581\n25264 37873\n90665 100000\n96964 100000\n12083 18185\n18231 27317\n84173 100000\n31541 47286\n49377 74054\n54728 82071\n16762 25143\n20572 30856\n81247 100000\n71846 100000\n81660 100000\n27584 41351\n20028 30038\n95116 100000\n55298 82929\n6495 9810\n79742 100000\n52249 78382\n6335 9572\n17710 26568\n49451 74164\n19974 29956\n28148 42201\n4838 7292\n47195 70772\n99293 100000\n64169 96272\n46953 70414\n41796 62644\n19573 29348\n6928 10458\n52081 78129\n98195 100000\n40684 60962\n21763 32650\n42543 63761\n79679 100000\n20993 31468\n79871 100000\n19853 29766\n58972 88461\n5747 8665\n62943 94444\n85969 100000\n24207 36301\n31160 46708\n68972 100000\n18734 28089\n95439 100000\n70406 100000\n58586 87884\n4527 6807\n39613 59346\n74778 100000\n72022 100000\n32336 48491\n82793 100000\n75207 100000\n32278 48404\n74012 100000\n2700 4057\n77310 100000\n46949 70408\n52040 78064\n84122 100000\n52118 78183\n90448 100000\n2831 4253\n12980 19514\n85317 100000\n36338 54494\n26133 39198\n45741 68559\n23985 35976\n38621 57879\n54536 81790\n95936 100000\n9032 13592\n59267 88912\n28843 43240\n56486 84719\n21586 32365\n1372 2067\n47173 70739\n65815 98713\n27588 41358\n17829 26745\n2302 3458\n34484 51719\n64067 96121\n24071 36103\n84552 100000\n78835 100000\n82226 100000\n36859 55279\n71713 100000\n96295 100000\n60626 90954\n50226 75327\n40605 60842\n14067 21113\n73428 100000\n76445 100000\n52568 78857\n76399 100000\n47537 71293\n87335 100000\n60339 90527\n8137 12251\n43242 64797\n69523 100000\n86996 100000\n774 1163\n83405 100000\n32064 48085\n50881 76335\n7916 11932\n59606 89431\n9344 14053\n34283 51409\n71208 100000\n39002 58433\n19079 28611\n58756 88136\n99384 100000\n50628 75934\n35002 52498\n38856 58216\n83692 100000\n77529 100000\n78500 100000\n52976 79460\n7385 11130\n80857 100000\n81935 100000\n47332 70982\n86688 100000\n37297 55924\n31118 46649\n65872 98794\n21899 32860\n35928 53876\n59545 89336\n9834 14801\n97017 100000\n37705 56512\n88383 100000\n43245 64801\n83311 100000\n76494 100000\n83747 100000\n15031 22552\n37957 56884\n26329 39480\n5288 7980\n98887 100000\n68910 100000\n79170 100000\n31626 47417\n15779 23675\n474 709\n26861 40263\n87904 100000\n20104 30153\n55908 83847\n6815 10290\n93225 100000\n24425 36621\n9762 14688\n37153 55706\n10556 15892\n62991 94520\n85291 100000\n68282 100000\n60475 90732\n47744 71603\n33065 49603\n65068 97606\n798 1197\n77391 100000\n44794 67123\n35912 53848\n34199 51284\n21952 32943\n55903 83840\n56044 84051\n59556 89354\n97742 100000\n84677 100000\n80511 100000\n29468 44183\n66132 99198\n38706 57991\n51048 76594\n2683 4034\n19088 28624\n68257 100000\n36268 54386\n43079 64549\n61872 92828\n62852 94300\n50761 76148\n93299 100000\n90585 100000\n34260 51375\n11871 17860\n37970 56903\n85378 100000\n73810 100000\n41037 61513\n71750 100000\n26503 39735\n4014 6022\n86088 100000\n40135 60145\n2085 3125\n5853 8826\n38032 56995\n14936 22407\n66620 99932\n68085 100000\n57528 86308\n21334 31984\n29020 43510\n62486 93742\n59699 89571\n49461 74178\n9160 13780\n51313 76988\n81195 100000\n69200 100000\n95021 100000\n53403 80101\n99085 100000\n77737 100000\n34544 51813\n87101 100000\n71756 100000\n72277 100000\n13679 20537\n14009 21028\n90875 100000\n95289 100000\n23272 34918\n80123 100000\n97458 100000\n40576 60800\n36226 54317\n39851 59715\n63194 94833\n87760 100000\n78053 100000\n97996 100000\n71514 100000\n2061 3088\n26674 39992\n67133 100000\n33488 50232\n29947 44900\n22400 33620\n30613 45889\n24003 35999\n78353 100000\n41336 61944\n75547 100000\n28522 42759\n5298 7996\n39754 59563\n71165 100000\n31475 47190\n63155 94773\n15101 22659\n68596 100000\n12132 18261\n85722 100000\n99624 100000\n56559 84833\n14722 22090\n74362 100000\n96328 100000\n89972 100000\n77451 100000\n37672 56466\n87485 100000\n15856 23783\n10976 16530\n68909 100000\n86931 100000\n65491 98236\n30592 45859\n54434 81647\n65816 98715\n7622 11487\n4263 6413\n53578 80381\n90492 100000\n57447 86184\n95441 100000\n34506 51750\n82622 100000\n45032 67474\n42144 63174\n93085 100000\n6510 9836\n32062 48082\n8692 13084\n80618 100000\n13218 19867\n98482 100000\n92356 100000\n92630 100000\n85657 100000\n31863 47774\n17000 25497\n82847 100000\n23759 35643\n69185 100000\n42256 63336\n46320 69449\n60548 90846\n81877 100000\n8195 12336\n12143 18280\n89328 100000\n9949 14986\n62729 94110\n40432 60587\n64372 96577\n15700 23564\n45322 67915\n44469 66640\n89396 100000\n41720 62533\n84038 100000\n99223 100000\n97047 100000\n97177 100000\n8798 13239\n79060 100000\n58547 87827\n83789 100000\n26654 39961\n85770 100000\n85159 100000\n1286 1934\n93194 100000\n57202 85813\n261 384\n31680 47495\n74301 100000\n28193 42263\n57900 86858\n7080 10675\n23694 35546\n19373 29043\n53050 79575\n18593 27862\n17577 26373\n21545 32303\n86203 100000\n8018 12077\n61339 92030\n21379 32053\n19494 29225\n2610 3917\n72768 100000\n28874 43289\n19608 29403\n56893 85342\n78401 100000\n33294 49936\n59379 89086\n96908 100000\n73264 100000\n1414 2130\n51990 77988\n93918 100000\n18257 27357\n8110 12214\n53305 79959\n73032 100000\n31887 47812\n36377 54553\n87615 100000\n81345 100000\n1944 2906\n63386 95103\n78136 100000\n14154 21241\n91531 100000\n94549 100000\n53317 79976\n67094 100000\n90204 100000\n23018 34538\n60144 90245\n57896 86851\n2454 3685\n23161 34747\n2489 3736\n69763 100000\n27018 40495\n37424 56106\n38827 58170\n56165 84234\n27943 41890\n62286 93438\n34326 51473\n73086 100000\n80830 100000\n41725 62542\n80611 100000\n3243 4873\n57759 86652\n68488 100000\n62525 93797\n74639 100000\n70500 100000\n54910 82340\n85781 100000\n35877 53801\n3201 4809\n45328 67923\n43217 64759\n62248 93385\n48965 73433\n9301 13991\n23836 35748\n6727 10162\n47673 71500\n42394 63545\n93324 100000\n95779 100000\n10218 15395\n19256 28872\n65944 98905\n5446 8218\n11637 17515\n52064 78101\n80614 100000\n11088 16698\n23258 34897\n60648 90987\n27368 41018\n36943 55399\n29075 43590\n2448 3676\n10442 15725\n74780 100000\n13100 19701\n6146 9278\n84082 100000\n59621 89455\n99469 100000\n91182 100000\n27319 40945\n99853 100000\n9993 15056\n76153 100000\n55232 82819\n53297 79950\n58453 87689\n63085 94664\n1678 2524\n84544 100000\n56194 84283\n81857 100000\n64410 96633\n43858 65715\n2545 3827\n45906 68810\n4520 6795\n59446 89182\n77379 100000\n23478 35225\n49754 74625\n57208 85822\n48178 72247\n54980 82435\n10771 16221\n42553 63775\n99424 100000\n70523 100000\n42122 63137\n12506 18822\n50706 76059\n78300 100000\n90269 100000\n76349 100000\n7462 11246\n42241 63313\n6458 9750\n70254 100000\n45608 68350\n41001 61456\n80927 100000\n51821 77736\n18620 27905\n25526 38265\n94411 100000\n89986 100000\n81781 100000\n50799 76203\n50787 76184\n55109 82636\n12041 18124\n52382 78576\n6725 10160\n43314 64908\n24201 36293\n13062 19643\n87112 100000\n22944 34428\n91904 100000\n57181 85782\n34499 51740\n78984 100000\n33338 50000\n62391 93602\n76548 100000\n17772 26660\n25582 38350\n50475 75704\n69905 100000\n89213 100000\n66151 99226\n29442 44145\n35762 53628\n83260 100000\n41519 62231\n33549 50317\n17187 25786\n21587 32367\n48661 72982\n93363 100000\n36137 54191\n99040 100000\n18096 27128\n20270 30401\n65915 98859\n79956 100000\n83695 100000\n86739 100000\n53461 80197\n78725 100000\n58892 88335\n34518 51771\n65095 97648\n91909 100000\n14498 21759\n22182 33296\n16232 24358\n69622 100000\n33466 50201\n24116 36166\n14977 22472\n19574 29349\n86399 100000\n72485 100000\n6741 10182\n38344 57461\n75985 100000\n53374 80055\n73768 100000\n58429 87655\n126 188\n36096 54127\n71276 100000\n85168 100000\n31871 47787\n45829 68687\n36164 54230\n97204 100000\n48456 72665\n82447 100000\n27482 41191\n28533 42776\n35600 53387\n51878 77818\n2361 3551\n17730 26595\n32750 49120\n97913 100000\n10295 15504\n21642 32460\n96886 100000\n40914 61319\n59995 90019\n71189 100000\n69133 100000\n3125 4697\n52910 79364\n54997 82460\n68514 100000\n4956 7475\n4545 6835\n87705 100000\n49418 74113\n86677 100000\n4944 7457\n16507 24774\n92794 100000\n140 210\n95825 100000\n40556 60771\n13040 19610\n15827 23744\n40843 61208\n34412 51611\n94683 100000\n63892 95862\n60987 91499\n31687 47507\n19252 28867\n15124 22693\n18883 28306\n8434 12699\n85699 100000\n75240 100000\n6402 9672\n89170 100000\n31664 47471\n71636 100000\n10055 15151\n14361 21557\n54171 81263\n15447 23181\n90615 100000\n46532 69774\n47859 71774\n53504 80260\n25840 38750\n11477 17281\n35176 52754\n83177 100000\n9925 14944\n99002 100000\n33761 50633\n45605 68345\n73325 100000\n48714 73061\n28198 42271\n86486 100000\n46082 69082\n55906 83845\n31949 47898\n34236 51341\n97466 100000\n93611 100000\n8076 12164\n71310 100000\n963 1446\n56579 84863\n8697 13092\n36613 54911\n94206 100000\n25847 38760\n58376 87575\n28636 42924\n41964 62900\n49347 74006\n92028 100000\n4618 6946\n75397 100000\n4397 6618\n97935 100000\n69636 100000\n80006 100000\n89568 100000\n83328 100000\n52431 78651\n57802 86711\n31449 47153\n88619 100000\n26235 39343\n89474 100000\n93922 100000\n56546 84811\n75223 100000\n26971 40426\n61904 92876\n89452 100000\n7594 11445\n61811 92732\n62180 93282\n16738 25111\n70280 100000\n2633 3955\n41632 62403\n97468 100000\n47129 70672\n69218 100000\n44791 67118\n96588 100000\n4180 6280\n70662 100000\n40977 61416\n73359 100000\n35517 53264\n56259 84373\n38570 57804\n36704 55042\n22206 33336\n20275 30408\n87069 100000\n56706 85052\n44973 67386\n97983 100000\n20483 30711\n36192 54271\n23017 34536\n46671 69978\n18742 28100\n79217 100000\n95390 100000\n91683 100000\n71435 100000\n43004 64432\n85900 100000\n82441 100000\n38680 57957\n37485 56193\n83108 100000\n85377 100000\n24406 36594\n58537 87812\n10775 16227\n13917 20895\n64139 96227\n68506 100000\n13402 20138\n38213 57265\n70632 100000\n49889 74822\n80734 100000\n87088 100000\n40220 60270\n67641 100000\n76005 100000\n5567 8398\n53287 79934\n48274 72394\n6475 9778\n14249 21378\n80242 100000\n99454 100000\n47764 71635\n80915 100000\n17397 26101\n19319 28966\n79431 100000\n71450 100000\n53484 80231\n87320 100000\n44713 67005\n34933 52394\n9008 13554\n55645 83453\n8286 12465\n9309 14005\n62061 93105\n24258 36375\n23414 35125\n33610 50407\n70104 100000\n86820 100000\n81689 100000\n29082 43600\n27437 41121\n50274 75400\n31443 47144\n36438 54643\n27195 40762\n57933 86910\n81937 100000\n80701 100000\n10939 16474\n19190 28779\n37352 56000\n74155 100000\n97181 100000\n55914 83857\n27582 41347\n64183 96290\n71239 100000\n5596 8442\n36013 54006\n18319 27454\n34913 52366\n20243 30361\n58299 87467\n77528 100000\n90581 100000\n10783 16239\n30017 45003\n5699 8596\n54952 82399\n94769 100000\n74325 100000\n75577 100000\n9493 14282\n4831 7280\n3558 5339\n82257 100000\n49369 74042\n50758 76144\n87970 100000\n23251 34887\n59378 89084\n30855 46256\n85824 100000\n88705 100000\n46114 69127\n35661 53478\n48630 72940\n56528 84782\n7321 11035\n48698 73039\n41492 62188\n54936 82375\n49344 74000\n30052 45051\n5617 8471\n3781 5671\n62196 93306\n80074 100000\n3043 4575\n78594 100000\n45257 67817\n94744 100000\n82398 100000\n15279 22931\n45461 68122\n54362 81549\n58808 88213\n49367 74039\n57055 85587\n7691 11591\n98352 100000\n27347 40988\n68152 100000\n24984 37456\n13576 20384\n56199 84288\n99346 100000\n63412 95146\n90294 100000\n25822 38722\n1518 2286\n1838 2753\n6561 9910\n21739 32608\n95084 100000\n58199 87313\n82883 100000\n44795 67125\n49653 74477\n53949 80933\n92920 100000\n50229 75332\n79998 100000\n76511 100000\n28857 43265\n69022 100000\n177 262\n65839 98747\n21004 31484\n11181 16837\n80129 100000\n74134 100000\n92468 100000\n14327 21506\n52221 78340\n22429 33668\n25012 37499\n62583 93888\n70685 100000\n15089 22641\n97900 100000\n31125 46657\n31229 46812\n62099 93165\n6240 9425\n15945 23921\n97162 100000\n90517 100000\n58831 88250\n32130 48178\n90626 100000\n91673 100000\n13276 19952\n94426 100000\n24696 37022\n14919 22383\n50141 75201\n2067 3097\n21194 31775\n52690 79037\n35811 53700\n44302 66386\n46518 69751\n22370 33574\n92351 100000\n4932 7436\n45114 67600\n39267 58827\n22418 33651\n29549 44307\n57731 86610\n94270 100000\n85032 100000\n70272 100000\n4205 6316\n49298 73931\n15428 23155\n61341 92032\n76224 100000\n88821 100000\n71056 100000\n65881 98808\n59871 89828\n98849 100000\n56315 84463\n58883 88323\n75084 100000\n63353 95053\n12160 18307\n28446 42641\n43957 65865\n13121 19729\n13635 20471\n88842 100000\n36639 54950\n4997 7534\n4800 7229\n57450 86189\n71657 100000\n81628 100000\n6862 10363\n43182 64703\n58109 87183\n68249 100000\n23608 35420\n73434 100000\n93708 100000\n94953 100000\n93177 100000\n95682 100000\n30162 45211\n91114 100000\n41196 61742\n9524 14328\n99468 100000\n5524 8332\n54052 81091\n45571 68289\n59027 88541\n3807 5712\n34211 51304\n96448 100000\n43369 64984\n36535 54798\n26332 39485\n93812 100000\n73092 100000\n22477 33736\n57530 86311\n60914 91386\n39276 58837\n64281 96439\n47693 71529\n50730 76100\n86251 100000\n28839 43235\n32298 48437\n18518 27750\n86378 100000\n57171 85766\n63310 94991\n11453 17249\n87498 100000\n91769 100000\n66474 99712\n34843 52261\n22087 33146\n66369 99554\n55040 82526\n68151 100000\n83504 100000\n96785 100000\n19423 29118\n13823 20754\n98404 100000\n50400 75593\n66820 100000\n20343 30500\n29376 44039\n44833 67177\n10551 15883\n30295 45401\n99202 100000\n15274 22925\n35182 52764\n5016 7564\n47886 71817\n7723 11645\n44081 66054\n67031 100000\n19453 29165\n39651 59401\n21015 31503\n89855 100000\n41222 61781\n58171 87269\n51512 77275\n84639 100000\n71476 100000\n29978 44945\n11530 17356\n37205 55778\n74538 100000\n75915 100000\n58110 87185\n9336 14042\n221 327\n97885 100000\n11879 17874\n42971 64384\n80060 100000\n61709 92581\n32410 48605\n44276 66345\n70877 100000\n35682 53508\n83393 100000\n95490 100000\n52679 79021\n83485 100000\n37902 56805\n75308 100000\n48136 72181\n49239 73839\n83676 100000\n89947 100000\n12195 18357\n84367 100000\n68316 100000\n33608 50404\n20072 30103\n97319 100000\n69734 100000\n92219 100000\n81507 100000\n32939 49404\n26953 40399\n76739 100000\n25036 37541\n92353 100000\n4314 6488\n30047 45045\n10040 15128\n24555 36812\n66794 100000\n70487 100000\n21585 32364\n4756 7165\n36203 54285\n80994 100000\n75036 100000\n33728 50584\n71082 100000\n4818 7257\n169 253\n72803 100000\n73302 100000\n87832 100000\n33565 50341\n78193 100000\n82501 100000\n63944 95939\n13537 20328\n6542 9884\n35400 53088\n98746 100000\n40484 60660\n73522 100000\n90494 100000\n66835 100000\n31370 47031\n2326 3496\n14100 21162\n60147 90249\n34649 51972\n56930 85394\n75982 100000\n38429 57592\n93041 100000\n82428 100000\n27729 41567\n38389 57531\n56102 84134\n99588 100000\n45660 68438\n42124 63141\n17875 26817\n45138 67641\n50634 75941\n754 1128\n83307 100000\n67219 100000\n44558 66783\n91399 100000\n8568 12906\n76466 100000\n18522 27755\n16548 24831\n29555 44315\n11136 16768\n8687 13077\n19661 29481\n19287 28919\n94946 100000\n55406 83094\n22126 33210\n58708 88067\n17573 26368\n85227 100000\n69872 100000\n41855 62733\n26295 39431\n61468 92222\n79908 100000\n33056 49588\n90298 100000\n40045 60006\n82039 100000\n92706 100000\n95904 100000\n57922 86893\n17429 26145\n44642 66903\n10807 16280\n4793 7219\n13927 20911\n83129 100000\n78085 100000\n40411 60557\n17117 25681\n48974 73445\n55579 83352\n67240 100000\n39550 59249\n21946 32933\n6658 10056\n97165 100000\n41400 62043\n88769 100000\n82654 100000\n69656 100000\n62416 93640\n90907 100000\n65403 98105\n94130 100000\n93598 100000\n79039 100000\n53398 80094\n37051 55556\n71659 100000\n81808 100000\n43117 64609\n72610 100000\n24285 36416\n85729 100000\n92469 100000\n72471 100000\n28024 42025\n2336 3513\n21373 32045\n21040 31543\n47854 71768\n19828 29730\n11882 17879\n21741 32612\n83834 100000\n15225 22855\n1694 2545\n51582 77384\n26481 39706\n12173 18325\n46460 69665\n43178 64697\n51006 76532\n36714 55061\n13338 20042\n4622 6953\n72276 100000\n4883 7360\n5827 8787\n54317 81485\n27486 41198\n86049 100000\n90128 100000\n40341 60452\n38044 57012\n39453 59102\n7780 11726\n5916 8931\n78462 100000\n72040 100000\n92962 100000\n84808 100000\n77614 100000\n66533 99802\n58691 88041\n39183 58703\n46715 70049\n26167 39244\n50994 76515\n90887 100000\n74672 100000\n98407 100000\n10703 16120\n804 1207\n63998 96022\n67663 100000\n62841 94286\n40206 60248\n1934 2890\n45898 68796\n99149 100000\n23561 35343\n22274 33439\n5683 8570\n6859 10357\n42973 64387\n45508 68192\n3040 4572\n50047 75061\n9646 14509\n34382 51567\n80395 100000\n5525 8334\n30394 45542\n75246 100000\n90960 100000\n84820 100000\n43929 65822\n48026 72019\n13739 20629\n60752 91138\n92298 100000\n55849 83758\n98912 100000\n97967 100000\n12792 19249\n43685 65457\n96469 100000\n48241 72345\n88152 100000\n74692 100000\n58747 88125\n41943 62868\n23952 35928\n77110 100000\n68241 100000\n39312 58892\n98450 100000\n9690 14572\n5253 7925\n80849 100000\n31383 47050\n34893 52333\n9631 14486\n98987 100000\n45202 67739\n4585 6900\n84325 100000\n9195 13833\n86471 100000\n40964 61397\n2780 4178\n1077 1616\n52893 79337\n8164 12293\n59970 89979\n545 818\n37718 56531\n2701 4059\n47268 70883\n37522 56246\n7243 10920\n30627 45910\n33085 49634\n34550 51822\n29204 43782\n17505 26263\n40456 60623\n43114 64604\n95897 100000\n41584 62326\n34583 51875\n43211 64748\n47817 71714\n25825 38726\n80535 100000\n37500 56215\n73152 100000\n62971 94488\n3571 5364\n70776 100000\n53749 80637\n84601 100000\n22799 34209\n49870 74794\n21716 32575\n48611 72909\n58724 88091\n30140 45178\n95102 100000\n6589 9952\n55693 83522\n75886 100000\n48202 72284\n15188 22793\n15442 23174\n9854 14831\n89195 100000\n33935 50887\n11947 17979\n47305 70937\n91451 100000\n54695 82024\n40035 59991\n4812 7249\n1565 2355\n3675 5519\n73568 100000\n52901 79351\n78242 100000\n88948 100000\n78807 100000\n21188 31767\n35192 52780\n37310 55943\n21724 32587\n411 606\n23684 35533\n52330 78502\n89595 100000\n97266 100000\n95158 100000\n18576 27833\n24303 36441\n56563 84837\n92754 100000\n15523 23298\n36109 54148\n44277 66347\n58752 88130\n81049 100000\n34534 51799\n20441 30645\n78739 100000\n44091 66069\n43060 64522\n58770 88159\n65787 98672\n38842 58195\n28556 42809\n6953 10492\n31484 47203\n75277 100000\n3876 5817\n23263 34904\n54502 81746\n20571 30854\n56266 84386\n99419 100000\n53150 79731\n70304 100000\n76912 100000\n92880 100000\n47538 71295\n94461 100000\n47768 71639\n60958 91457\n16370 24572\n247 362\n76082 100000\n14905 22361\n89385 100000\n77660 100000\n63241 94892\n15235 22867\n2971 4463\n72915 100000\n36971 55443\n11258 16953\n92611 100000\n29394 44069\n14429 21657\n55844 83749\n28797 43166\n91150 100000\n7171 10810\n19326 28977\n25696 38530\n86035 100000\n27770 41627\n42836 64180\n27318 40944\n6101 9211\n83644 100000\n24935 37381\n37505 56222\n43089 64562\n46451 69653\n94894 100000\n86705 100000\n61968 92969\n24101 36144\n92675 100000\n96575 100000\n93575 100000\n69394 100000\n80144 100000\n44739 67043\n45643 68409\n5184 7821\n76945 100000\n54529 81783\n12363 18606\n86240 100000\n18769 28138\n14144 21226\n5758 8681\n83710 100000\n81970 100000\n22782 34182\n4306 6475\n74822 100000\n32120 48165\n25298 37926\n56406 84596\n37414 56092\n40518 60710\n83208 100000\n50378 75557\n4564 6865\n66096 99146\n65665 98497\n75395 100000\n77743 100000\n38618 57874\n45186 67714\n75666 100000\n22998 34509\n32249 48358\n17377 26069\n40520 60714\n59760 89665\n31999 47981\n62796 94210\n64891 97346\n19002 28490\n24664 36977\n98135 100000\n99174 100000\n88983 100000\n86642 100000\n76790 100000\n54666 81981\n46435 69627\n53544 80324\n97000 100000\n64533 96817\n49285 73910\n50540 75802\n70297 100000\n67287 100000\n81743 100000\n73882 100000\n17678 26520\n68160 100000\n76426 100000\n78772 100000\n79647 100000\n38756 58062\n15088 22640\n97621 100000\n193 286\n58929 88392\n12590 18946\n86149 100000\n46071 69065\n45115 67602\n14621 21945\n53128 79699\n81503 100000\n91500 100000\n64176 96280\n86260 100000\n33261 49887\n32139 48194\n91836 100000\n62625 93954\n61656 92500\n73966 100000\n59146 88725\n79095 100000\n5112 7711\n22905 34369\n67196 100000\n13021 19576\n43768 65579\n21493 32227\n47991 71962\n12992 19533\n18390 27560\n81347 100000\n48904 73346\n94410 100000\n48543 72802\n79334 100000\n8612 12972\n34302 51438\n50099 75135\n4557 6856\n37479 56182\n84919 100000\n31658 47463\n76618 100000\n75836 100000\n70116 100000\n51985 77979\n14145 21228\n71647 100000\n71043 100000\n73624 100000\n26109 39159\n87236 100000\n72987 100000\n99363 100000\n50714 76073\n12050 18139\n9776 14712\n34011 51006\n57911 86876\n52442 78667\n59657 89508\n19329 28982\n76500 100000\n75762 100000\n5667 8547\n25642 38448\n23872 35804\n13247 19910\n64208 96326\n13443 20201\n95266 100000\n24348 36507\n42246 63320\n21002 31481\n44800 67133\n39017 58454\n38207 57256\n46663 69965\n65892 98825\n61592 92409\n59436 89167\n37919 56829\n71975 100000\n70109 100000\n29825 44717\n87604 100000\n91398 100000\n96466 100000\n73452 100000\n45016 67449\n51769 77660\n86305 100000\n26782 40149\n90572 100000\n3580 5377\n11792 17735\n91005 100000\n36597 54888\n55042 82529\n63977 95989\n36020 54015\n4201 6309\n35170 52745\n5670 8550\n30270 45366\n74438 100000\n27240 40827\n23096 34653\n87267 100000\n47494 71229\n65546 98319\n36658 54974\n28021 42021\n57754 86644\n79744 100000\n25032 37534\n662 987\n83048 100000\n73446 100000\n57703 86570\n12578 18930\n93167 100000\n15976 23968\n70333 100000\n81322 100000\n41156 61685\n26343 39501\n11528 17353\n32100 48137\n9609 14453\n73693 100000\n37195 55763\n4179 6278\n32675 49006\n4304 6472\n76811 100000\n48847 73256\n14270 21413\n23967 35949\n61896 92863\n27185 40746\n57675 86525\n29681 44503\n30638 45924\n97384 100000\n20984 31456\n45556 68268\n53219 79837\n74684 100000\n15957 23939\n13204 19846\n95316 100000\n18514 27743\n76362 100000\n76154 100000\n3694 5545\n83524 100000\n61812 92733\n63000 94533\n11648 17531\n69223 100000\n21372 32043\n81681 100000\n77416 100000\n38995 58425\n80966 100000\n57471 86222\n71780 100000\n22913 34381\n8274 12446\n33324 49977\n93924 100000\n47259 70871\n7442 11218\n90405 100000\n12554 18893\n53763 80661\n25332 37973\n81685 100000\n41332 61938\n16644 24974\n17488 26239\n67902 100000\n36487 54721\n82006 100000\n56478 84707\n73893 100000\n12964 19490\n61297 91964\n94544 100000\n56282 84410\n25957 38924\n3943 5920\n22979 34484\n2879 4327\n79699 100000\n84602 100000\n92720 100000\n46607 69885\n28836 43230\n64932 97407\n64773 97169\n46859 70275\n31035 46524\n44836 67183\n99993 100000\n15070 22610\n90027 100000\n6140 9269\n23657 35492\n78814 100000\n58661 87998\n22774 34168\n12577 18929\n56828 85242\n58899 88345\n86586 100000\n22917 34388\n29962 44921\n91974 100000\n79825 100000\n60163 90274\n1620 2432\n94872 100000\n78784 100000\n13524 20309\n13438 20194\n60419 90646\n81238 100000\n74054 100000\n30404 45558\n60056 90111\n67484 100000\n47892 71825\n96535 100000\n79726 100000\n24609 36890\n86323 100000\n95491 100000\n9547 14361\n88288 100000\n88165 100000\n66318 99478\n18834 28232\n52468 78705\n81948 100000\n50719 76080\n3336 5015\n76673 100000\n18720 28067\n72774 100000\n42185 63231\n4288 6449\n24342 36500\n5461 8242\n50762 76150\n49021 73515\n36900 55338\n72325 100000\n56818 85226\n96615 100000\n72401 100000\n98671 100000\n70200 100000\n58213 87337\n47906 71844\n84892 100000\n45096 67575\n55450 83161\n19484 29210\n18511 27740\n48121 72158\n44804 67139\n49872 74798\n18413 27595\n29053 43558\n7088 10686\n74336 100000\n698 1039\n54107 81172\n92904 100000\n37170 55727\n3964 5949\n73047 100000\n81327 100000\n88640 100000\n56767 85148\n2824 4242\n61494 92261\n16179 24278\n75322 100000\n86268 100000\n23772 35660\n89832 100000\n35832 53732\n61536 92328\n63220 94863\n18432 27620\n20832 31229\n64025 96059\n91259 100000\n19008 28500\n3232 4855\n2921 4391\n83823 100000\n77540 100000\n87715 100000\n92623 100000\n27031 40515\n28035 42043\n14047 21082\n31973 47940\n10549 15880\n95986 100000\n55985 83962\n91479 100000\n28349 42497\n39705 59486\n32067 48089\n33204 49809\n85536 100000\n84121 100000\n67817 100000\n71168 100000\n48515 72758\n21384 32062\n9760 14685\n54646 81948\n30280 45382\n99977 100000\n54374 81567\n52632 78953\n84815 100000\n62390 93600\n35119 52663\n91010 100000\n70810 100000\n50613 75912\n44313 66400\n53100 79657\n68634 100000\n48671 72998\n81666 100000\n92707 100000\n18332 27472\n4598 6919\n59348 89038\n35402 53091\n19815 29711\n31992 47970\n58021 87047\n48519 72765\n19928 29883\n36261 54374\n58735 88107\n46948 70407\n78410 100000\n18993 28478\n31375 47038\n48894 73328\n68988 100000\n81280 100000\n38799 58129\n58310 87482\n22606 33919\n86098 100000\n56584 84873\n11569 17417\n85897 100000\n97388 100000\n51888 77835\n94471 100000\n16003 24011\n89097 100000\n45422 68066\n50284 75416\n75146 100000\n99128 100000\n94441 100000\n51981 77973\n60877 91331\n25471 38184\n98628 100000\n86690 100000\n33857 50777\n99833 100000\n82200 100000\n94834 100000\n78588 100000\n69481 100000\n71349 100000\n8037 12104\n37845 56720\n15293 22952\n69980 100000\n36127 54176\n68522 100000\n73864 100000\n99492 100000\n95892 100000\n75624 100000\n809 1214\n21419 32118\n38960 58373\n42250 63327\n94217 100000\n37810 56669\n40801 61147\n93150 100000\n84885 100000\n73633 100000\n96311 100000\n11429 17207\n55269 82882\n40920 61327\n87467 100000\n80231 100000\n80287 100000\n29384 44053\n76226 100000\n8726 13134\n69929 100000\n17706 26562\n33212 49819\n29783 44658\n94900 100000\n2881 4330\n32889 49327\n92383 100000\n40991 61439\n31285 46899\n5250 7920\n50997 76519\n98473 100000\n32295 48432\n98858 100000\n14956 22438\n62953 94460\n10766 16214\n25647 38454\n51148 76743\n25383 38053\n89425 100000\n10086 15196\n98486 100000\n80424 100000\n71728 100000\n76922 100000\n86221 100000\n95359 100000\n37642 56421\n33963 50929\n40566 60783\n25241 37839\n41159 61689\n14745 22126\n56660 84989\n93734 100000\n96876 100000\n73153 100000\n74458 100000\n23965 35947\n97682 100000\n80825 100000\n99061 100000\n58745 88123\n17049 25579\n81747 100000\n51259 76907\n35614 53408\n25414 38102\n54945 82388\n76747 100000\n13491 20263\n44180 66201\n19615 29414\n45111 67596\n69755 100000\n61879 92838\n55653 83463\n14896 22348\n15682 23536\n47540 71298\n28844 43242\n70529 100000\n88724 100000\n12076 18177\n92529 100000\n80898 100000\n73492 100000\n80990 100000\n46286 69401\n27006 40476\n85645 100000\n54323 81495\n45247 67802\n85923 100000\n59262 88903\n61704 92574\n11716 17631\n75488 100000\n51991 77990\n42301 63405\n76039 100000\n59045 88570\n20106 30157\n78046 100000\n21933 32913\n13794 20709\n68826 100000\n65632 98450\n57705 86573\n63364 95070\n10369 15619\n69395 100000\n60653 90995\n43155 64658\n17930 26891\n48180 72251\n21259 31871\n62075 93129\n42600 63844\n16723 25088\n29431 44130\n85283 100000\n41470 62152\n66884 100000\n53698 80562\n36302 54441\n95423 100000\n23114 34678\n4593 6911\n64277 96433\n64471 96722\n64332 96518\n1626 2441\n14601 21915\n45972 68912\n34246 51356\n2304 3462\n46136 69161\n10149 15291\n36585 54869\n13947 20938\n20019 30027\n48206 72291\n49882 74813\n75026 100000\n18305 27432\n79569 100000\n12130 18258\n81302 100000\n8285 12463\n6453 9745\n3447 5187\n87343 100000\n832 1248\n66947 100000\n28828 43216\n86982 100000\n6903 10420\n43486 65155\n21370 32041\n7937 11963\n7317 11027\n49676 74515\n41934 62853\n57332 86012\n14903 22359\n34974 52458\n31191 46755\n75362 100000\n2033 3044\n74387 100000\n62081 93138\n85866 100000\n72932 100000\n32930 49388\n81374 100000\n49556 74330\n59115 88680\n28670 42977\n6910 10432\n33373 50054\n31471 47184\n33040 49563\n87981 100000\n85551 100000\n37281 55899\n19810 29702\n85136 100000\n82349 100000\n53209 79824\n8972 13496\n23041 34572\n82890 100000\n22086 33145\n55805 83692\n37926 56839\n53820 80737\n54261 81398\n41469 62151\n49226 73820\n13398 20133\n17819 26730\n59303 88969\n84960 100000\n16800 25198\n53816 80733\n88982 100000\n34431 51636\n447 663\n36004 53992\n48314 72453\n79787 100000\n85690 100000\n94800 100000\n24749 37102\n86090 100000\n69101 100000\n32376 48551\n48522 72770\n73758 100000\n19116 28666\n55808 83696\n35086 52617\n33501 50249\n9798 14746\n1013 1522\n35695 53525\n91482 100000\n44319 66409\n48044 72047\n49974 74950\n61939 92926\n91740 100000\n53765 80664\n70532 100000\n31349 46996\n84452 100000\n66934 100000\n93664 100000\n15710 23579\n99257 100000\n96888 100000\n74631 100000\n22096 33161\n23688 35538\n69238 100000\n99626 100000\n79571 100000\n57274 85924\n7070 10662\n75239 100000\n76569 100000\n97721 100000\n9893 14891\n73765 100000\n55158 82713\n96630 100000\n47624 71427\n95676 100000\n71317 100000\n22017 33045\n21624 32428\n53196 79805\n68655 100000\n82717 100000\n63878 95840\n80800 100000\n36085 54110\n23885 35821\n3691 5541\n23695 35547\n44643 66904\n97909 100000\n53295 79946\n58161 87257\n56837 85254\n24385 36563\n20630 30942\n5221 7876\n6988 10545\n47212 70798\n38712 58001\n12636 19014\n23603 35413\n8487 12781\n37034 55528\n87326 100000\n55690 83518\n25943 38905\n52232 78357\n77512 100000\n53112 79677\n39373 58983\n93262 100000\n4592 6910\n7556 11389\n88773 100000\n82282 100000\n42631 63892\n73470 100000\n48250 72361\n87291 100000\n39024 58467\n97413 100000\n9111 13705\n96345 100000\n62969 94484\n90231 100000\n84195 100000\n23214 34831\n60038 90081\n56671 85006\n16554 24839\n9098 13688\n52042 78067\n9278 13956\n27012 40485\n2059 3085\n88631 100000\n22711 34074\n99603 100000\n36211 54294\n27840 41739\n26337 39492\n14738 22114\n44317 66406\n37974 56910\n74815 100000\n91689 100000\n77371 100000\n66731 100000\n43006 64436\n42236 63303\n64970 97465\n93064 100000\n51120 76700\n36575 54855\n41871 62761\n4663 7020\n64313 96489\n76627 100000\n89366 100000\n46155 69191\n49733 74596\n80099 100000\n37816 56676\n10399 15664\n89648 100000\n25205 37788\n63548 95344\n97799 100000\n31185 46749\n7629 11497\n76538 100000\n62627 93958\n22321 33505\n22922 34394\n51151 76747\n95679 100000\n4669 7031\n40545 60754\n76052 100000\n16495 24756\n60948 91440\n69902 100000\n66197 99290\n64742 97126\n92551 100000\n2571 3865\n77033 100000\n56635 84951\n38021 56980\n42392 63542\n43644 65395\n44323 66417\n57632 86462\n67289 100000\n32807 49205\n74080 100000\n92247 100000\n99587 100000\n84183 100000\n47473 71195\n65047 97577\n50469 75695\n64922 97392\n95624 100000\n23102 34661\n30543 45783\n99161 100000\n49456 74172\n50115 75159\n18667 27982\n56566 84843\n71622 100000\n4203 6312\n10755 16200\n19918 29870\n7323 11037\n72708 100000\n81822 100000\n79307 100000\n74289 100000\n48527 72777\n78321 100000\n87495 100000\n27551 41299\n59629 89466\n99707 100000\n55032 82516\n55101 82623\n57405 86124\n84867 100000\n79556 100000\n83554 100000\n74030 100000\n14382 21588\n47077 70595\n57286 85942\n99962 100000\n48446 72649\n22800 34211\n13562 20366\n89710 100000\n37880 56771\n60673 91024\n31162 46712\n4801 7230\n60897 91363\n80958 100000\n94463 100000\n70289 100000\n91508 100000\n97828 100000\n34303 51439\n28620 42904\n48262 72378\n988 1485\n22791 34196\n74893 100000\n79521 100000\n68114 100000\n89608 100000\n71829 100000\n12535 18864\n54327 81500\n55275 82892\n17970 26943\n55083 82594\n66383 99576\n37848 56726\n32886 49322\n79282 100000\n92423 100000\n49404 74093\n42887 64255\n56510 84752\n31805 47688\n74826 100000\n96653 100000\n98068 100000\n89730 100000\n75716 100000\n77722 100000\n74937 100000\n32787 49176\n69947 100000\n72184 100000\n82185 100000\n62235 93365\n79328 100000\n28385 42550\n35846 53753\n521 778\n81152 100000\n36522 54776\n70899 100000\n31974 47942\n74151 100000\n95792 100000\n59313 88985\n63050 94607\n67326 100000\n60141 90241\n44258 66315\n17035 25558\n47598 71382\n60410 90633\n43358 64968\n25352 38004\n30163 45213\n13323 20020\n31786 47658\n44782 67108\n7500 11304\n49054 73566\n69358 100000\n91546 100000\n94970 100000\n7277 10971\n555 836\n91143 100000\n69736 100000\n25717 38564\n97329 100000\n63450 95198\n54424 81634\n5837 8802\n54989 82449\n61719 92600\n98782 100000\n42503 63706\n901 1350\n65966 98938\n81201 100000\n16093 24147\n50135 75192\n66133 99200\n2593 3896\n46980 70454\n57451 86191\n64356 96554\n3493 5251\n13902 20876\n48270 72389\n81986 100000\n48351 72505\n79805 100000\n50448 75663\n50751 76135\n71203 100000\n11040 16628\n96281 100000\n1922 2874\n83584 100000\n89791 100000\n62773 94175\n99232 100000\n70542 100000\n45969 68907\n31910 47843\n25653 38462\n12087 18191\n6544 9886\n55100 82621\n24294 36429\n2532 3805\n98678 100000\n53757 80652\n4458 6711\n57093 85645\n95126 100000\n41965 62902\n12199 18363\n43382 65002\n52235 78362\n36453 54669\n16860 25285\n25214 37801\n82506 100000\n94186 100000\n57203 85815\n12713 19137\n87986 100000\n93904 100000\n1794 2687\n46945 70401\n87258 100000\n93175 100000\n49517 74266\n88625 100000\n81192 100000\n83480 100000\n65716 98572\n63420 95157\n35097 52631\n36375 54550\n85356 100000\n17567 26358\n11114 16737\n41097 61601\n38830 58175\n31517 47251\n36146 54205\n89373 100000\n5506 8305\n89554 100000\n6333 9569\n32593 48884\n19704 29549\n4340 6528\n86021 100000\n99299 100000\n91179 100000\n49851 74763\n77524 100000\n2629 3950\n94099 100000\n93682 100000\n48365 72526\n24016 36019\n32484 48718\n54512 81761\n78548 100000\n87542 100000\n83010 100000\n40738 61044\n32530 48791\n93217 100000\n95521 100000\n29003 43482\n6022 9096\n57193 85800\n4921 7419\n94861 100000\n48019 72008\n13743 20634\n74393 100000\n31853 47760\n44454 66621\n89342 100000\n91969 100000\n82718 100000\n74198 100000\n80336 100000\n83817 100000\n53373 80053\n6247 9436\n59065 88604\n14132 21209\n8689 13081\n1740 2612\n33207 49813\n39628 59367\n83770 100000\n96973 100000\n9473 14252\n2158 3237\n49102 73628\n7105 10710\n60826 91247\n363 532\n88833 100000\n53852 80789\n85612 100000\n32148 48206\n22263 33420\n799 1198\n67216 100000\n91444 100000\n15686 23542\n24628 36918\n42569 63798\n10458 15747\n83150 100000\n41241 61808\n47019 70518\n66798 100000\n87851 100000\n24915 37353\n41580 62320\n20264 30392\n2959 4449\n35845 53752\n11093 16707\n66092 99141\n41842 62712\n59225 88847\n27676 41487\n29920 44858\n64543 96832\n56425 84625\n60830 91254\n15490 23243\n13268 19940\n46856 70270\n623 933\n1721 2584\n25651 38460\n227 334\n34796 52195\n29238 43834\n64274 96427\n40833 61191\n98234 100000\n10559 15898\n16896 25339\n73324 100000\n58885 88325\n2499 3752\n60384 90591\n7732 11658\n59766 89676\n76527 100000\n96935 100000\n70806 100000\n30665 45967\n3388 5091\n29455 44161\n2915 4381\n63966 95974\n47357 71015\n36312 54459\n54748 82101\n78922 100000\n41989 62941\n50288 75422\n87411 100000\n47759 71628\n76350 100000\n33802 50695\n39946 59860\n13096 19694\n38683 57962\n95722 100000\n29596 44373\n88308 100000\n76900 100000\n61868 92822\n28254 42356\n40477 60652\n51283 76947\n92265 100000\n98452 100000\n91267 100000\n63882 95844\n62672 94024\n49319 73964\n41485 62176\n52631 78951\n7374 11110\n29076 43592\n17876 26819\n76889 100000\n13264 19935\n70405 100000\n99972 100000\n95913 100000\n83339 100000\n9676 14553\n48797 73183\n8536 12858\n45530 68228\n4771 7187\n42623 63879\n6866 10370\n83018 100000\n36892 55325\n39020 58459\n68721 100000\n61888 92850\n3298 4959\n73431 100000\n21320 31960\n46192 69245\n49202 73782\n7309 11017\n5701 8599\n21205 31793\n53240 79868\n48930 73382\n12817 19284\n50109 75149\n27746 41592\n86233 100000\n16058 24096\n9391 14125\n83354 100000\n46965 70432\n1345 2024\n37179 55740\n83165 100000\n84109 100000\n46231 69309\n21293 31919\n66605 99909\n10511 15826\n97359 100000\n22965 34463\n64133 96219\n14775 22167\n96214 100000\n22594 33904\n60566 90873\n79239 100000\n42566 63794\n92197 100000\n74284 100000\n81863 100000\n37561 56306\n24102 36145\n33980 50960\n37426 56109\n10971 16522\n45618 68369\n44261 66321\n65821 98723\n32944 49413\n55919 83865\n50977 76487\n59 90\n94049 100000\n83117 100000\n11015 16591\n62127 93207\n89458 100000\n44949 67352\n27386 41044\n71774 100000\n99297 100000\n65928 98880\n12308 18525\n20367 30537\n42107 63117\n4426 6662\n34172 51246\n37407 56082\n39807 59647\n96270 100000\n76780 100000\n30535 45770\n37289 55913\n59370 89072\n55010 82481\n54164 81251\n19030 28534\n22221 33360\n95137 100000\n50979 76491\n28904 43335\n61515 92295\n79542 100000\n62440 93674\n92725 100000\n38114 57115\n57540 86324\n82469 100000\n67818 100000\n85997 100000\n402 592\n70586 100000\n55319 82956\n4301 6467\n73911 100000\n90790 100000\n96639 100000\n81754 100000\n69797 100000\n89759 100000\n55001 82465\n2595 3899\n14066 21112\n32195 48278\n12358 18600\n9013 13561\n80540 100000\n46919 70363\n45632 68393\n82033 100000\n82979 100000\n20917 31357\n23692 35542\n6894 10408\n27460 41157\n22814 34231\n97013 100000\n16089 24143\n59324 89000\n15563 23360\n70425 100000\n83192 100000\n95850 100000\n61396 92117\n67452 100000\n1884 2821\n36191 54269\n45804 68651\n93039 100000\n40819 61172\n73200 100000\n21602 32391\n14329 21510\n19533 29287\n53865 80808\n67419 100000\n26764 40122\n81820 100000\n15213 22835\n21712 32568\n4873 7346\n44173 66190\n25581 38348\n12052 18142\n92493 100000\n64833 97254\n84640 100000\n86730 100000\n51471 77215\n87022 100000\n95037 100000\n11259 16954\n1673 2516\n75464 100000\n41730 62550\n38329 57441\n33762 50634\n69708 100000\n9117 13714\n26418 39617\n51531 77305\n73797 100000\n45160 67674\n76306 100000\n59597 89419\n2518 3781\n44086 66061\n76219 100000\n38652 57916\n56395 84581\n17343 26023\n94787 100000\n27511 41238\n2484 3727\n30821 46209\n82914 100000\n86115 100000\n48484 72707\n34565 51847\n44863 67228\n28239 42333\n74852 100000\n95550 100000\n6577 9935\n59114 88679\n69512 100000\n55871 83792\n7959 11996\n56363 84531\n37937 56853\n67847 100000\n82518 100000\n80398 100000\n654 977\n7924 11944\n78651 100000\n10717 16144\n49472 74195\n57464 86212\n52965 79441\n86073 100000\n81426 100000\n21355 32017\n28215 42299\n35047 52561\n18921 28361\n82460 100000\n75440 100000\n90886 100000\n16375 24578\n89017 100000\n32256 48369\n93786 100000\n16988 25483\n61934 92919\n89835 100000\n95171 100000\n75210 100000\n99645 100000\n9980 15034\n63947 95943\n70521 100000\n57573 86372\n8419 12676\n55127 82665\n78072 100000\n62986 94511\n7023 10593\n91696 100000\n69031 100000\n41 62\n63238 94889\n9895 14894\n71741 100000\n99421 100000\n37769 56608\n6942 10478\n98811 100000\n15192 22800\n89284 100000\n55745 83596\n49844 74753\n23012 34530\n32823 49227\n4951 7466\n80175 100000\n60544 90838\n48779 73156\n95512 100000\n79598 100000\n2112 3167\n70421 100000\n97182 100000\n78391 100000\n49183 73754\n89311 100000\n77723 100000\n85334 100000\n72007 100000\n53533 80305\n12517 18839\n48392 72567\n14750 22134\n21702 32554\n26909 40334\n99446 100000\n25912 38856\n39824 59672\n63283 94951\n77216 100000\n96564 100000\n84041 100000\n50986 76501\n72316 100000\n70353 100000\n77399 100000\n63999 96024\n71702 100000\n22653 33988\n78367 100000\n45564 68278\n56722 85076\n47542 71302\n1145 1727\n3291 4950\n34869 52299\n56236 84343\n84731 100000\n36018 54012\n55644 83451\n60824 91244\n20643 30960\n74437 100000\n13403 20140\n62365 93563\n67586 100000\n51636 77468\n90320 100000\n88022 100000\n69560 100000\n43268 64837\n16266 24409\n69508 100000\n96456 100000\n44754 67069\n86275 100000\n34334 51487\n14038 21068\n91230 100000\n49437 74142\n69060 100000\n80051 100000\n42679 63958\n49706 74561\n67251 100000\n16240 24371\n95286 100000\n80696 100000\n35790 53668\n29164 43723\n66471 99708\n33024 49538\n36061 54073\n63004 94539\n400 590\n72776 100000\n89490 100000\n32359 48524\n75564 100000\n38997 58428\n67496 100000\n18251 27349\n13816 20745\n2357 3545\n16213 24329\n128 191\n22856 34295\n20484 30713\n76838 100000\n77199 100000\n7738 11669\n3576 5371\n87888 100000\n26875 40285\n68342 100000\n40997 61449\n53375 80056\n73957 100000\n72793 100000\n51893 77841\n34878 52312\n51652 77490\n35572 53344\n63006 94542\n46878 70299\n47682 71512\n42085 63080\n73393 100000\n76879 100000\n5713 8619\n40549 60761\n78003 100000\n67425 100000\n68427 100000\n17899 26850\n51164 76765\n64485 96739\n83861 100000\n28246 42346\n20165 30245\n51684 77541\n50420 75621\n96818 100000\n62008 93028\n71205 100000\n49068 73583\n17276 25917\n42909 64288\n15786 23684\n31316 46949\n45950 68875\n6511 9838\n86571 100000\n38512 57718\n39978 59908\n54555 81818\n46272 69379\n11611 17480\n65795 98684\n90495 100000\n13428 20179\n74748 100000\n95698 100000\n30134 45170\n72689 100000\n83422 100000\n77693 100000\n27374 41026\n23167 34757\n74958 100000\n25777 38653\n69006 100000\n66243 99355\n82104 100000\n34474 51700\n67349 100000\n75694 100000\n72324 100000\n63593 95407\n78915 100000\n8039 12108\n9859 14837\n18743 28102\n8766 13192\n10770 16220\n10838 16324\n43649 65403\n47344 70998\n79646 100000\n55907 83846\n91345 100000\n63475 95239\n89602 100000\n15095 22651\n69754 100000\n11626 17503\n43909 65794\n3167 4760\n82751 100000\n55967 83936\n32866 49291\n32583 48869\n76110 100000\n21203 31790\n38994 58424\n54915 82346\n16329 24511\n67551 100000\n54041 81072\n42280 63375\n46199 69255\n51067 76622\n28817 43197\n29575 44343\n85572 100000\n20859 31267\n19855 29769\n66127 99192\n43842 65692\n68681 100000\n4089 6138\n6901 10416\n13186 19823\n84493 100000\n96427 100000\n15533 23312\n23030 34557\n80132 100000\n7443 11220\n67920 100000\n33194 49796\n88589 100000\n50696 76041\n74344 100000\n21632 32442\n89881 100000\n66830 100000\n83278 100000\n10548 15878\n78736 100000\n33780 50661\n23233 34861\n27930 41871\n55393 83073\n29296 43924\n11639 17518\n8808 13256\n94198 100000\n23143 34722\n78858 100000\n15200 22814\n55156 82710\n88976 100000\n10562 15902\n18317 27450\n35337 52991\n13573 20379\n70691 100000\n9188 13822\n28287 42406\n44503 66692\n19493 29223\n5874 8864\n67104 100000\n85864 100000\n49967 74940\n56351 84514\n73280 100000\n57492 86251\n18374 27535\n58725 88093\n63219 94861\n10000 15066\n99077 100000\n23450 35180\n12282 18490\n75110 100000\n62014 93039\n10466 15759\n20222 30331\n64908 97370\n98639 100000\n50637 75944\n30327 45446\n24511 36748\n85797 100000\n5264 7943\n13326 20026\n75814 100000\n74326 100000\n58061 87109\n24693 37019\n47207 70791\n28692 43010\n46600 69874\n91329 100000\n94265 100000\n92299 100000\n31613 47396\n92810 100000\n36637 54948\n91216 100000\n92106 100000\n6104 9216\n37791 56641\n26854 40252\n20369 30541\n75950 100000\n39325 58913\n57740 86623\n75148 100000\n61748 92640\n83530 100000\n33695 50535\n40852 61221\n90802 100000\n37219 55798\n13775 20679\n52875 79309\n31688 47509\n92514 100000\n23014 34532\n34206 51295\n38932 58332\n38665 57934\n19734 29595\n92048 100000\n20856 31263\n29354 44007\n7945 11976\n2774 4169\n61041 91578\n37569 56319\n79893 100000\n16009 24020\n72446 100000\n55007 82475\n79107 100000\n6030 9109\n56251 84363\n11796 17742\n21197 31780\n67801 100000\n28210 42289\n8026 12089\n82191 100000\n78583 100000\n98389 100000\n82765 100000\n96865 100000\n65934 98890\n2437 3657\n86893 100000\n83715 100000\n21134 31685\n89286 100000\n86538 100000\n21631 32440\n57344 86030\n11120 16745\n46095 69100\n21325 31970\n46259 69356\n66138 99207\n77560 100000\n51076 76633\n73189 100000\n38923 58318\n62049 93086\n91530 100000\n90996 100000\n94229 100000\n90748 100000\n53454 80184\n27696 41519\n63360 95063\n45674 68460\n95070 100000\n57954 86943\n56028 84026\n57257 85896\n64393 96606\n75290 100000\n20482 30709\n3565 5352\n63957 95960\n79225 100000\n8055 12133\n53052 79578\n37280 55898\n68550 100000\n39125 58611\n22709 34071\n47413 71101\n3591 5394\n52245 78376\n26464 39678\n48249 72359\n60217 90354\n71747 100000\n45548 68257\n4193 6299\n41818 62677\n95981 100000\n76085 100000\n55876 83800\n31075 46585\n51257 76904\n21337 31987\n41404 62050\n73169 100000\n6113 9231\n39208 58739\n51112 76689\n1171 1767\n87405 100000\n81929 100000\n57709 86579\n33306 49954\n16292 24448\n38452 57627\n82907 100000\n66113 99170\n36235 54333\n86080 100000\n1829 2740\n94922 100000\n45748 68572\n52702 79055\n59783 89701\n89026 100000\n55902 83839\n53029 79542\n89685 100000\n41574 62312\n95003 100000\n38949 58356\n1773 2656\n99045 100000\n71916 100000\n52543 78819\n33347 50013\n87250 100000\n50022 75023\n56035 84037\n67802 100000\n32180 48256\n22837 34267\n61711 92585\n18542 27788\n18701 28036\n60818 91232\n50610 75906\n10904 16420\n67531 100000\n28314 42447\n22062 33111\n63433 95174\n42109 63121\n79970 100000\n4797 7224\n62236 93367\n92484 100000\n92125 100000\n10586 15941\n1737 2608\n85026 100000\n73570 100000\n60148 90250\n19405 29093\n85295 100000\n87677 100000\n33848 50765\n68218 100000\n26628 39921\n73673 100000\n51836 77758\n50882 76336\n94803 100000\n19722 29577\n85970 100000\n69927 100000\n80737 100000\n36499 54740\n32079 48107\n9471 14250\n24335 36491\n61157 91758\n43738 65535\n35723 53566\n19178 28760\n15921 23884\n97512 100000\n41064 61555\n26141 39209\n88339 100000\n74401 100000\n3783 5675\n45371 67990\n98996 100000\n25894 38828\n65390 98084\n45827 68684\n18376 27538\n95397 100000\n33583 50368\n15472 23218\n92386 100000\n20939 31389\n45589 68319\n26340 39497\n53682 80536\n830 1245\n7540 11364\n86792 100000\n29652 44458\n76484 100000\n98995 100000\n23897 35840\n96977 100000\n94238 100000\n46472 69681\n2670 4013\n9665 14538\n48560 72829\n81736 100000\n14161 21252\n84702 100000\n63094 94679\n1123 1690\n45384 68010\n96152 100000\n40346 60461\n24544 36795\n65290 97932\n10207 15378\n23624 35441\n9389 14121\n6007 9075\n46130 69151\n74850 100000\n32808 49206\n62015 93040\n70398 100000\n86719 100000\n74720 100000\n29055 43560\n41360 61983\n26062 39084\n65269 97903\n55313 82949\n94759 100000\n30102 45126\n52785 79173\n15633 23465\n1618 2428\n13822 20753\n27724 41560\n63446 95193\n21794 32700\n14650 21989\n72839 100000\n9352 14068\n63592 95405\n62843 94288\n8322 12520\n82612 100000\n26578 39845\n87965 100000\n54513 81763\n71342 100000\n97756 100000\n74492 100000\n26294 39430\n60642 90979\n52794 79188\n8662 13041\n87772 100000\n94353 100000\n58151 87242\n53781 80685\n18947 28402\n41284 61869\n82105 100000\n31093 46611\n35963 53932\n49750 74619\n12688 19095\n19398 29080\n93833 100000\n95173 100000\n25856 38771\n61262 91910\n47165 70725\n77639 100000\n33912 50853\n10500 15809\n73993 100000\n48399 72576\n50218 75318\n82933 100000\n84356 100000\n55357 83015\n75670 100000\n96007 100000\n58188 87296\n19677 29505\n30421 45583\n38550 57771\n66480 99721\n1571 2363\n47545 71306\n1576 2369\n17294 25946\n41464 62144\n93868 100000\n99791 100000\n93814 100000\n15326 23002\n32876 49308\n98870 100000\n98209 100000\n82916 100000\n79207 100000\n34623 51934\n79419 100000\n47930 71880\n42459 63646\n1346 2025\n98420 100000\n3466 5213\n67886 100000\n83703 100000\n41572 62310\n66183 99272\n19059 28578\n30171 45221\n61438 92179\n10302 15516\n90696 100000\n85972 100000\n59731 89622\n3668 5509\n75436 100000\n3909 5872\n21354 32015\n38659 57927\n77316 100000\n23195 34799\n77566 100000\n71427 100000\n97551 100000\n31287 46902\n1195 1802\n34306 51445\n80751 100000\n18540 27785\n10345 15579\n72100 100000\n16313 24488\n1577 2370\n60502 90775\n43388 65010\n26061 39082\n6473 9774\n38230 57289\n5539 8355\n65752 98624\n46807 70193\n76303 100000\n54272 81414\n76216 100000\n2648 3978\n72155 100000\n72497 100000\n20299 30443\n42791 64116\n26246 39363\n57398 86114\n44301 66384\n27224 40804\n25752 38616\n91498 100000\n16103 24161\n8086 12180\n32011 48003\n64207 96324\n69251 100000\n2514 3774\n27448 41138\n5628 8488\n59279 88934\n92563 100000\n64072 96127\n64598 96910\n16781 25169\n85362 100000\n78569 100000\n73725 100000\n98401 100000\n47829 71733\n59570 89376\n93673 100000\n21567 32334\n80044 100000\n2317 3481\n90459 100000\n44491 66675\n23633 35456\n64633 96963\n95162 100000\n40499 60682\n7373 11108\n59205 88814\n50195 75284\n696 1036\n79003 100000\n57360 86057\n61608 92430\n97021 100000\n68692 100000\n48668 72992\n29618 44406\n25115 37659\n2844 4273\n36609 54905\n27911 41845\n74100 100000\n41821 62682\n28300 42424\n48747 73110\n51382 77093\n60600 90918\n70862 100000\n83545 100000\n54992 82453\n21247 31853\n82734 100000\n90904 100000\n58777 88168\n85758 100000\n60334 90519\n85747 100000\n25626 38424\n29837 44732\n36744 55105\n76073 100000\n64907 97369\n81967 100000\n6747 10189\n92090 100000\n87831 100000\n24497 36729\n24307 36447\n61372 92080\n43357 64967\n90945 100000\n68855 100000\n31896 47825\n48673 73001\n12116 18236\n28773 43129\n41513 62220\n10235 15421\n18201 27276\n45951 68877\n12022 18095\n60379 90584\n20350 30510\n32600 48894\n71444 100000\n76929 100000\n2837 4262\n50981 76493\n6687 10103\n35309 52949\n84940 100000\n52871 79304\n13762 20660\n15828 23745\n63756 95655\n84009 100000\n16742 25117\n98099 100000\n42495 63693\n92031 100000\n63207 94848\n6125 9247\n87866 100000\n17518 26281\n7963 12002\n15597 23411\n14221 21340\n70927 100000\n27490 41204\n56010 83998\n81420 100000\n79718 100000\n22570 33868\n67108 100000\n61525 92308\n98530 100000\n62942 94443\n91045 100000\n59546 89337\n11936 17959\n66163 99242\n27509 41235\n51872 77810\n48633 72943\n34622 51933\n79936 100000\n67697 100000\n50399 75591\n37412 56089\n91559 100000\n88144 100000\n29433 44132\n76643 100000\n67548 100000\n99980 100000\n29040 43539\n4125 6194\n99083 100000\n74621 100000\n18087 27116\n92095 100000\n72611 100000\n19426 29123\n38584 57825\n61922 92902\n80419 100000\n8920 13420\n98201 100000\n79063 100000\n86686 100000\n24716 37053\n27251 40845\n76609 100000\n26948 40392\n70601 100000\n19259 28876\n61961 92958\n61007 91530\n27942 41888\n60688 91052\n74942 100000\n43105 64587\n96789 100000\n75019 100000\n56643 84963\n73380 100000\n10800 16268\n28974 43437\n69496 100000\n14387 21598\n82070 100000\n61915 92892\n12044 18130\n72370 100000\n92531 100000\n13735 20624\n50132 75187\n71480 100000\n20278 30412\n22402 33624\n39941 59853\n21276 31896\n2555 3840\n28772 43127\n68921 100000\n69112 100000\n88806 100000\n93736 100000\n7241 10917\n46838 70240\n14666 22012\n96091 100000\n95353 100000\n52387 78583\n69775 100000\n68086 100000\n53070 79606\n93030 100000\n81182 100000\n16535 24811\n86187 100000\n47620 71419\n2613 3922\n50544 75808\n39655 59407\n8091 12188\n40007 59949\n5890 8890\n66699 100000\n64966 97458\n25911 38854\n81155 100000\n46398 69572\n75481 100000\n79739 100000\n24549 36803\n21756 32638\n27986 41963\n67535 100000\n79396 100000\n66167 99249\n1819 2723\n24128 36183\n20319 30466\n16310 24482\n72523 100000\n32217 48310\n76960 100000\n54226 81344\n83326 100000\n88793 100000\n92317 100000\n13544 20339\n40580 60807\n34107 51150\n32315 48462\n55448 83158\n32451 48666\n67030 100000\n62547 93830\n70354 100000\n70252 100000\n50773 76164\n81782 100000\n22144 33235\n73007 100000\n51653 77492\n27360 41007\n78881 100000\n3446 5185\n48486 72710\n22812 34228\n71154 100000\n37071 55585\n71462 100000\n61477 92235\n10232 15416\n68017 100000\n88437 100000\n84026 100000\n75884 100000\n48652 72970\n49630 74444\n28089 42114\n96762 100000\n27610 41393\n58442 87675\n63755 95653\n18985 28466\n57923 86894\n99400 100000\n68296 100000\n94416 100000\n55922 83869\n67121 100000\n15247 22886\n43341 64944\n96497 100000\n53090 79642\n32908 49356\n36952 55412\n68232 100000\n26595 39870\n49246 73850\n81924 100000\n24371 36538\n43480 65146\n95562 100000\n96657 100000\n69696 100000\n99672 100000\n60989 91502\n68185 100000\n44712 67004\n17591 26392\n27329 40960\n18359 27512\n29205 43784\n36027 54027\n38291 57385\n63345 95040\n57721 86596\n17001 25499\n94190 100000\n21924 32900\n67331 100000\n29072 43584\n50716 76076\n31780 47649\n66108 99163\n21652 32475\n24399 36582\n42862 64219\n20380 30558\n29399 44078\n95466 100000\n25290 37912\n36066 54081\n86773 100000\n95258 100000\n77953 100000\n60053 90106\n23010 34528\n8084 12177\n96330 100000\n94617 100000\n36507 54752\n74586 100000\n92969 100000\n89073 100000\n92089 100000\n77146 100000\n20421 30616\n2877 4324\n26562 39823\n68479 100000\n30036 45032\n41391 62027\n45517 68208\n9561 14382\n77915 100000\n61586 92401\n93715 100000\n53249 79881\n34670 52003\n8315 12509\n85171 100000\n13759 20657\n46263 69364\n54228 81348\n34931 52391\n69826 100000\n10418 15691\n89341 100000\n51545 77326\n24024 36030\n23905 35853\n47900 71836\n96462 100000\n391 575\n76258 100000\n65359 98038\n79330 100000\n37096 55620\n88943 100000\n16730 25099\n44842 67193\n23336 35016\n38416 57572\n35835 53737\n40814 61164\n95462 100000\n12690 19097\n13307 19995\n39849 59712\n28619 42902\n54930 82367\n16094 24148\n91542 100000\n13093 19688\n8605 12959\n41826 62690\n85088 100000\n2299 3453\n22158 33258\n3404 5116\n68530 100000\n77685 100000\n8831 13287\n61721 92603\n35331 52981\n63507 95285\n79199 100000\n12301 18515\n73271 100000\n81672 100000\n32396 48581\n91733 100000\n48353 72509\n93706 100000\n42422 63587\n43440 65088\n6770 10224\n91654 100000\n50969 76473\n76660 100000\n19523 29270\n17122 25689\n44405 66542\n46163 69203\n49888 74820\n14200 21311\n53759 80654\n25191 37769\n24278 36405\n59315 88988\n11096 16712\n27305 40923\n19058 28576\n75112 100000\n33598 50391\n60156 90263\n31180 46741\n72089 100000\n47024 70526\n73952 100000\n39395 59019\n29669 44483\n76876 100000\n97611 100000\n76499 100000\n61488 92252\n17432 26149\n19780 29658\n22180 33293\n2181 3268\n66992 100000\n2081 3120\n23307 34973\n75989 100000\n22823 34246\n65459 98190\n64442 96681\n50480 75712\n24194 36283\n85901 100000\n87899 100000\n5983 9039\n84656 100000\n51624 77448\n27760 41612\n904 1354\n75055 100000\n78989 100000\n7248 10926\n38910 58301\n89788 100000\n40234 60292\n42891 64259\n63816 95746\n1085 1629\n49395 74080\n5961 9005\n13458 20220\n85422 100000\n87693 100000\n27723 41559\n20876 31295\n87612 100000\n14428 21656\n39012 58446\n57733 86612\n18334 27475\n5873 8862\n13598 20415\n61048 91589\n25385 38056\n77313 100000\n13711 20587\n93025 100000\n35512 53256\n77327 100000\n61399 92121\n73024 100000\n45709 68517\n40026 59979\n41132 61651\n93548 100000\n33514 50266\n18795 28175\n17508 26266\n71148 100000\n91156 100000\n72132 100000\n75627 100000\n27314 40938\n768 1151\n71613 100000\n49815 74711\n99675 100000\n90629 100000\n13392 20123\n26198 39287\n46052 69035\n77262 100000\n88134 100000\n59828 89766\n22521 33796\n78359 100000\n79387 100000\n37830 56698\n95207 100000\n96042 100000\n44461 66630\n9927 14948\n97012 100000\n37793 56645\n12955 19476\n16971 25454\n648 969\n87499 100000\n35738 53594\n30257 45346\n94315 100000\n10189 15354\n17284 25929\n98706 100000\n83830 100000\n3239 4867\n57799 86706\n98909 100000\n51188 76804\n94721 100000\n80026 100000\n69654 100000\n4217 6335\n70128 100000\n85300 100000\n85802 100000\n10607 15976\n22698 34055\n66941 100000\n90720 100000\n20459 30675\n43859 65716\n89996 100000\n77984 100000\n62880 94343\n69217 100000\n70595 100000\n90335 100000\n1086 1631\n16277 24425\n46358 69511\n31740 47588\n52471 78708\n64008 96036\n22303 33479\n11958 17997\n63672 95526\n40046 60008\n88922 100000\n44853 67213\n41376 62006\n17990 26972\n24929 37372\n81022 100000\n61623 92449\n83805 100000\n64523 96800\n66495 99744\n63365 95071\n36064 54078\n2232 3346\n46408 69588\n43123 64616\n98723 100000\n3869 5805\n68293 100000\n7018 10585\n613 920\n46778 70146\n19315 28960\n19929 29884\n58196 87309\n42753 64059\n58850 88275\n84652 100000\n33818 50718\n44813 67150\n52149 78232\n42727 64022\n31426 47117\n98990 100000\n59388 89098\n23316 34986\n75739 100000\n24966 37431\n91503 100000\n54339 81518\n83764 100000\n39054 58510\n58923 88382\n17932 26893\n84169 100000\n30888 46308\n69329 100000\n855 1284\n4767 7182\n37474 56176\n79234 100000\n99457 100000\n27275 40881\n77284 100000\n80956 100000\n1660 2495\n38368 57498\n79015 100000\n96068 100000\n20706 31047\n40557 60773\n98423 100000\n21016 31505\n47430 71126\n13634 20470\n84179 100000\n43304 64893\n41908 62817\n58215 87340\n49408 74099\n70572 100000\n50487 75723\n11009 16582\n61820 92746\n69272 100000\n85108 100000\n89550 100000\n66305 99457\n78758 100000\n52945 79412\n45684 68475\n80177 100000\n29174 43739\n89215 100000\n12683 19087\n91702 100000\n86546 100000\n69078 100000\n64447 96689\n60847 91282\n70302 100000\n56037 84039\n74764 100000\n4299 6464\n44145 66147\n8099 12200\n34998 52492\n62664 94013\n83007 100000\n14864 22299\n51288 76954\n41268 61847\n73292 100000\n74856 100000\n5013 7559\n50337 75491\n558 840\n68194 100000\n87280 100000\n23239 34870\n44433 66586\n39576 59289\n13370 20092\n48793 73177\n36948 55406\n58197 87310\n24958 37415\n48657 72978\n35836 53739\n27980 41953\n24265 36385\n23552 35331\n31661 47467\n83395 100000\n45068 67533\n35186 52770\n38989 58416\n30911 46343\n97912 100000\n51338 77030\n81855 100000\n14411 21633\n52463 78699\n80265 100000\n36656 54972\n31239 46828\n36171 54241\n98375 100000\n13518 20299\n20975 31444\n72637 100000\n21139 31692\n7370 11105\n49963 74934\n85776 100000\n57511 86281\n55867 83786\n27843 41743\n26660 39972\n9056 13627\n36190 54267\n17727 26591\n75131 100000\n72039 100000\n65378 98066\n16926 25380\n9738 14650\n31419 47107\n58607 87914\n38271 57354\n3403 5114\n48509 72750\n94276 100000\n36819 55219\n76921 100000\n4608 6932\n16401 24616\n71425 100000\n96641 100000\n33676 50508\n60921 91397\n82450 100000\n33809 50705\n9129 13731\n61956 92948\n4572 6878\n64620 96944\n71324 100000\n91103 100000\n29525 44271\n85161 100000\n93790 100000\n69844 100000\n91613 100000\n35353 53015\n46399 69574\n26275 39404\n90232 100000\n77152 100000\n41619 62382\n67235 100000\n63371 95080\n18788 28167\n45631 68392\n20894 31320\n61717 92596\n48473 72690\n19883 29817\n71615 100000\n33292 49934\n77733 100000\n44221 66256\n37741 56564\n29593 44368\n38975 58397\n12965 19491\n36139 54195\n98399 100000\n13498 20271\n78350 100000\n85261 100000\n68504 100000\n90722 100000\n43917 65806\n63 95\n78864 100000\n11248 16940\n45673 68459\n36056 54065\n32146 48203\n62141 93230\n1076 1614\n28156 42212\n93180 100000\n63286 94956\n93540 100000\n14631 21957\n25895 38830\n25483 38202\n50299 75437\n54417 81624\n66676 100000\n26448 39657\n83330 100000\n17424 26139\n75097 100000\n95233 100000\n50892 76352\n76025 100000\n44028 65970\n62554 93842\n51566 77362\n20091 30134\n12264 18464\n53319 79978\n44917 67303\n91571 100000\n52158 78247\n23810 35714\n37790 56639\n34241 51347\n78303 100000\n18631 27923\n59647 89492\n28136 42180\n83455 100000\n17158 25744\n29011 43494\n67413 100000\n12595 18954\n16821 25228\n42737 64036\n23205 34815\n17550 26331\n50710 76067\n48914 73362\n37965 56895\n38382 57522\n25857 38772\n7731 11657\n12707 19125\n90288 100000\n11823 17783\n60919 91394\n28767 43121\n95028 100000\n1438 2165\n39013 58448\n86313 100000\n81294 100000\n11595 17458\n663 988\n94602 100000\n91951 100000\n16577 24875\n33208 49814\n570 856\n69920 100000\n35244 52859\n30882 46300\n14492 21750\n25771 38644\n7565 11403\n80543 100000\n16812 25213\n63504 95279\n28206 42285\n54836 82230\n28454 42653\n62388 93597\n65326 97985\n14309 21478\n35345 53002\n97837 100000\n79915 100000\n70044 100000\n7435 11207\n17986 26966\n77353 100000\n6682 10096\n37133 55675\n31350 46998\n90016 100000\n97596 100000\n69332 100000\n58688 88036\n14187 21290\n86754 100000\n18171 27234\n75499 100000\n51388 77101\n43083 64554\n53856 80796\n77989 100000\n2720 4089\n75364 100000\n84669 100000\n96498 100000\n39420 59055\n30491 45703\n51050 76596\n23727 35596\n58249 87390\n42116 63130\n20160 30237\n52580 78876\n69981 100000\n38904 58290\n40497 60680\n32879 49313\n97067 100000\n16617 24932\n71424 100000\n33080 49625\n23235 34863\n40313 60408\n22873 34319\n73610 100000\n88277 100000\n94219 100000\n27456 41151\n95455 100000\n18092 27123\n48701 73043\n15036 22559\n69988 100000\n34070 51094\n13538 20330\n69962 100000\n8704 13103\n6565 9917\n10901 16415\n42667 63943\n76781 100000\n35577 53351\n11699 17605\n91339 100000\n83159 100000\n61548 92348\n68623 100000\n69568 100000\n22575 33877\n59590 89406\n33637 50448\n40733 61036\n8210 12358\n18046 27057\n59540 89328\n76812 100000\n80677 100000\n17816 26727\n31601 47376\n85659 100000\n45502 68181\n76143 100000\n86339 100000\n73368 100000\n49293 73924\n82396 100000\n46594 69865\n89890 100000\n48134 72178\n21224 31818\n67135 100000\n87322 100000\n15320 22991\n37613 56379\n38602 57849\n71278 100000\n73561 100000\n4053 6083\n89429 100000\n78738 100000\n83138 100000\n59064 88602\n40625 60874\n63787 95701\n56184 84266\n32582 48868\n39832 59686\n76126 100000\n13053 19630\n19237 28842\n51661 77503\n66709 100000\n67186 100000\n70204 100000\n86031 100000\n65576 98364\n46176 69221\n57563 86356\n56023 84019\n64619 96942\n98326 100000\n95499 100000\n95744 100000\n62424 93650\n82801 100000\n65543 98315\n59402 89117\n14321 21497\n55988 83967\n67468 100000\n22133 33220\n38704 57989\n37761 56596\n41597 62349\n8665 13044\n49831 74734\n2868 4308\n74845 100000\n66657 99992\n65295 97939\n72114 100000\n98359 100000\n49913 74858\n87230 100000\n16252 24389\n56645 84967\n72936 100000\n79423 100000\n58400 87609\n99882 100000\n37591 56349\n52531 78800\n51798 77702\n14457 21703\n77596 100000\n5876 8867\n17660 26492\n65164 97753\n93416 100000\n85836 100000\n48532 72786\n50131 75186\n4924 7424\n57299 85964\n39389 59009\n2825 4243\n15014 22527\n22691 34044\n98322 100000\n69167 100000\n89274 100000\n55219 82795\n87737 100000\n42706 63992\n32126 48173\n4725 7115\n51610 77428\n46593 69864\n52000 78007\n55420 83116\n846 1271\n66681 100000\n20744 31106\n48266 72384\n84778 100000\n62305 93467\n78597 100000\n76803 100000\n28903 43333\n20096 30141\n45241 67792\n41703 62509\n28842 43238\n16041 24069\n77128 100000\n85023 100000\n38804 58136\n36175 54247\n69129 100000\n5249 7919\n303 443\n88564 100000\n99704 100000\n40940 61357\n73242 100000\n378 554\n64670 97020\n41526 62242\n99619 100000\n58490 87741\n49770 74652\n29125 43662\n77478 100000\n8870 13343\n88454 100000\n74844 100000\n29733 44583\n94773 100000\n9173 13800\n72561 100000\n24673 36990\n63212 94853\n10018 15093\n70298 100000\n40452 60617\n40604 60840\n93740 100000\n71614 100000\n76636 100000\n47713 71558\n42848 64200\n97633 100000\n14402 21618\n70683 100000\n14390 21604\n33665 50494\n18687 28015\n86793 100000\n49593 74388\n49261 73872\n49964 74936\n34880 52315\n88830 100000\n95301 100000\n82510 100000\n29374 44036\n32706 49052\n46213 69278\n92777 100000\n12719 19145\n43535 65232\n9525 14329\n20620 30930\n56642 84962\n30762 46116\n1769 2649\n66061 99090\n87200 100000\n86158 100000\n20244 30362\n11295 17009\n70762 100000\n99866 100000\n52264 78405\n80970 100000\n22816 34233\n72713 100000\n87834 100000\n21071 31589\n43554 65259\n97260 100000\n7683 11580\n81362 100000\n96568 100000\n20885 31307\n86935 100000\n26146 39217\n30957 46412\n10477 15776\n35090 52623\n90068 100000\n49167 73729\n23693 35544\n7929 11952\n78590 100000\n57924 86896\n38814 58151\n27218 40797\n95066 100000\n88237 100000\n41180 61717\n88974 100000\n72273 100000\n59727 89616\n68935 100000\n54784 82150\n44964 67376\n96766 100000\n98993 100000\n41955 62887\n3216 4832\n58220 87348\n81731 100000\n93650 100000\n48371 72535\n24195 36285\n91757 100000\n84286 100000\n70071 100000\n75743 100000\n52417 78633\n77622 100000\n30201 45265\n20558 30832\n75817 100000\n6993 10552\n51502 77259\n8157 12282\n69204 100000\n80631 100000\n96376 100000\n48544 72804\n58767 88155\n74488 100000\n93461 100000\n15933 23902\n59488 89246\n1918 2868\n82737 100000\n56135 84184\n68524 100000\n62479 93732\n42967 64377\n8212 12360\n74785 100000\n51532 77307\n25153 37713\n73060 100000\n39423 59060\n76248 100000\n60527 90812\n57384 86093\n58200 87315\n87191 100000\n67472 100000\n58956 88438\n87513 100000\n24508 36742\n46982 70457\n75834 100000\n1387 2088\n25968 38941\n40848 61216\n90597 100000\n71907 100000\n48099 72129\n40679 60953\n37261 55865\n27115 40644\n50873 76321\n21885 32842\n95772 100000\n38009 56962\n45526 68222\n99546 100000\n26865 40268\n75517 100000\n17717 26577\n44445 66605\n15343 23031\n41948 62876\n28910 43345\n89120 100000\n69578 100000\n6360 9611\n8321 12519\n49173 73737\n73909 100000\n6638 10026\n84253 100000\n70361 100000\n22322 33507\n86786 100000\n49718 74574\n73718 100000\n15849 23774\n97062 100000\n75979 100000\n82454 100000\n63351 95049\n36822 55224\n23314 34982\n58475 87719\n99804 100000\n48269 72388\n45877 68761\n48754 73119\n6950 10489\n60315 90494\n11501 17315\n57717 86591\n12764 19207\n71526 100000\n28033 42039\n98002 100000\n66234 99343\n70891 100000\n38834 58182\n36310 54456\n53378 80061\n25677 38498\n97114 100000\n47350 71005\n45430 68076\n13460 20222\n66468 99704\n83650 100000\n25621 38417\n97432 100000\n7978 12022\n12359 18601\n98907 100000\n88956 100000\n78058 100000\n11825 17787\n51619 77439\n9139 13747\n15781 23679\n86514 100000\n25429 38123\n38645 57908\n27024 40505\n85248 100000\n87825 100000\n80282 100000\n62332 93510\n97917 100000\n97637 100000\n78137 100000\n75843 100000\n4734 7130\n47144 70693\n97131 100000\n89197 100000\n55047 82536\n5712 8618\n85925 100000\n10824 16302\n65110 97672\n23576 35369\n26833 40222\n86113 100000\n67382 100000\n30547 45789\n35053 52570\n46782 70153\n75674 100000\n93577 100000\n16846 25262\n55837 83739\n84899 100000\n22517 33791\n17092 25643\n38777 58096\n9789 14731\n14228 21349\n44985 67406\n74081 100000\n74183 100000\n4446 6696\n11757 17689\n60192 90315\n9636 14495\n29345 43996\n46198 69254\n29436 44136\n28849 43252\n64088 96152\n89897 100000\n65045 97575\n18043 27054\n7835 11812\n33587 50373\n14471 21721\n67410 100000\n76217 100000\n68390 100000\n63916 95899\n11447 17238\n44864 67230\n29750 44611\n16044 24074\n80742 100000\n72490 100000\n11892 17892\n69770 100000\n42083 63077\n92254 100000\n27463 41161\n66902 100000\n27063 40565\n95857 100000\n9890 14887\n25792 38675\n32068 48090\n80190 100000\n19648 29458\n40817 61169\n56689 85030\n54987 82446\n48185 72260\n62590 93899\n8875 13351\n1901 2847\n62222 93348\n45834 68697\n4248 6387\n12150 18291\n96170 100000\n92062 100000\n46175 69219\n4824 7268\n1154 1742\n39584 59303\n10732 16166\n45873 68754\n15539 23322\n34440 51648\n28450 42647\n31568 47326\n87450 100000\n36399 54585\n51943 77917\n85148 100000\n66710 100000\n5844 8813\n40302 60395\n44397 66527\n66893 100000\n27714 41546\n72924 100000\n84744 100000\n8264 12433\n1278 1920\n73303 100000\n84721 100000\n34025 51025\n56220 84319\n57906 86868\n14225 21345\n96278 100000\n3020 4540\n81985 100000\n60908 91379\n38875 58246\n96943 100000\n28487 42707\n24585 36854\n22572 33872\n62676 94030\n51804 77711\n85942 100000\n372 544\n64259 96407\n60561 90864\n18767 28134\n20374 30548\n2090 3134\n98800 100000\n10240 15426\n54669 81986\n44727 67025\n67203 100000\n6070 9167\n99018 100000\n75009 100000\n28957 43408\n21364 32031\n32269 48388\n39255 58809\n10629 16010\n52662 78995\n36602 54896\n63273 94938\n87207 100000\n47958 71920\n41133 61652\n82516 100000\n99766 100000\n80964 100000\n96231 100000\n56435 84637\n25459 38168\n52592 78893\n25043 37552\n98672 100000\n46787 70163\n47590 71370\n73540 100000\n27051 40549\n71246 100000\n32254 48366\n23027 34552\n12096 18204\n2237 3355\n25756 38621\n464 691\n25228 37821\n86507 100000\n49852 74765\n72769 100000\n59465 89209\n67460 100000\n28580 42841\n42951 64351\n77572 100000\n76903 100000\n4295 6458\n48204 72288\n55050 82540\n48125 72165\n30278 45378\n24817 37208\n10384 15644\n56953 85431\n40802 61149\n66610 99915\n59284 88940\n40550 60763\n30402 45555\n43169 64683\n39082 58548\n65733 98596\n16521 24793\n63520 95301\n40559 60776\n93229 100000\n66418 99626\n60796 91198\n57527 86307\n87514 100000\n90240 100000\n81018 100000\n59455 89195\n52708 79065\n74128 100000\n99252 100000\n18397 27571\n97278 100000\n38648 57911\n84998 100000\n7693 11595\n60916 91389\n60394 90607\n5406 8157\n79111 100000\n69119 100000\n98666 100000\n54399 81599\n23827 35734\n34115 51160\n64667 97015\n71739 100000\n61202 91825\n32891 49330\n394 579\n71393 100000\n1407 2118\n36501 54744\n89942 100000\n57134 85713\n94503 100000\n29435 44135\n56230 84336\n29872 44784\n97530 100000\n52801 79201\n5092 7679\n31281 46893\n14653 21994\n24808 37193\n89363 100000\n27476 41182\n2854 4287\n71822 100000\n17268 25905\n63642 95480\n45396 68027\n6394 9660\n89959 100000\n96098 100000\n95450 100000\n60351 90546\n62566 93860\n90482 100000\n74658 100000\n47264 70877\n62353 93546\n27414 41085\n25416 38104\n80469 100000\n57250 85886\n90236 100000\n2842 4270\n6897 10412\n17265 25900\n97117 100000\n60276 90437\n49318 73962\n14035 21064\n78436 100000\n59578 89387\n89270 100000\n39098 58570\n86288 100000\n50797 76200\n44698 66986\n18020 27020\n84391 100000\n98232 100000\n104 158\n13284 19963\n64763 97156\n33505 50254\n79098 100000\n51658 77498\n93179 100000\n32124 48170\n34144 51202\n65797 98688\n25709 38552\n20590 30886\n93912 100000\n2339 3517\n45217 67760\n15689 23547\n47890 71821\n7641 11515\n44250 66306\n16911 25358\n63961 95967\n32999 49500\n75916 100000\n56963 85446\n65887 98817\n57187 85791\n33464 50198\n87655 100000\n52133 78210\n25978 38956\n56935 85403\n80213 100000\n42017 62980\n69164 100000\n17297 25952\n71296 100000\n82215 100000\n79965 100000\n24640 36939\n50942 76429\n33174 49767\n89315 100000\n56447 84659\n18790 28169\n67971 100000\n38671 57943\n86114 100000\n18605 27880\n38957 58367\n25314 37948\n75793 100000\n10686 16093\n54372 81564\n3209 4820\n39930 59836\n43883 65753\n77291 100000\n44994 67419\n61295 91961\n33956 50919\n41163 61695\n49211 73794\n82851 100000\n94337 100000\n7285 10982\n57509 86278\n14536 21818\n65063 97599\n89819 100000\n53294 79945\n32430 48633\n88738 100000\n28515 42751\n90959 100000\n30922 46361\n89825 100000\n86801 100000\n12441 18721\n73659 100000\n14370 21570\n6641 10032\n46209 69271\n10977 16532\n44691 66974\n8890 13374\n70744 100000\n24050 36070\n44901 67283\n81546 100000\n66556 99837\n93741 100000\n7547 11377\n18669 27985\n39016 58453\n96373 100000\n83610 100000\n42752 64058\n59431 89159\n98920 100000\n65463 98195\n39304 58879\n58693 88043\n9722 14626\n48717 73065\n61544 92342\n23218 34836\n43630 65372\n56380 84558\n98336 100000\n24224 36325\n47042 70549\n59068 88608\n79584 100000\n4972 7499\n53423 80134\n88198 100000\n55748 83601\n88858 100000\n29740 44595\n45132 67631\n11109 16729\n39177 58692\n18897 28328\n30118 45148\n86210 100000\n95483 100000\n2920 4389\n8856 13325\n49143 73693\n6955 10495\n73230 100000\n22915 34385\n14005 21021\n34756 52133\n24666 36981\n75646 100000\n51146 76740\n9412 14159\n4399 6622\n30553 45799\n50896 76359\n80587 100000\n84393 100000\n59594 89414\n19969 29947\n24660 36970\n84792 100000\n19138 28699\n171 255\n84469 100000\n93817 100000\n76684 100000\n5360 8089\n37581 56335\n29372 44033\n59932 89921\n25256 37863\n39322 58908\n64078 96136\n42603 63849\n9443 14206\n42770 64083\n59579 89389\n21122 31668\n60247 90398\n46806 70192\n25487 38208\n22147 33241\n94939 100000\n23087 34640\n16984 25476\n18304 27430\n41700 62505\n26454 39666\n22315 33497\n79618 100000\n29451 44157\n49302 73938\n23348 35034\n40760 61080\n92080 100000\n58851 88277\n29665 44477\n18504 27730\n66550 99828\n67564 100000\n48606 72900\n88471 100000\n90268 100000\n36801 55192\n32981 49468\n52307 78466\n81092 100000\n95726 100000\n92218 100000\n69593 100000\n53895 80853\n21269 31887\n728 1088\n17774 26663\n1437 2163\n6020 9093\n17787 26683\n12184 18343\n82148 100000\n58263 87412\n71363 100000\n22260 33416\n59522 89302\n74357 100000\n58525 87794\n63246 94897\n40700 60984\n10852 16345\n85547 100000\n49051 73561\n64006 96033\n36697 55030\n71469 100000\n51329 77015\n72159 100000\n54115 81183\n79474 100000\n24450 36661\n50182 75264\n49911 74855\n22247 33397\n1072 1609\n2871 4312\n13302 19989\n25735 38591\n83197 100000\n26603 39882\n79237 100000\n4619 6948\n60845 91279\n53336 80001\n41080 61577\n11979 18026\n45331 67928\n18248 27344\n11487 17296\n78083 100000\n52550 78831\n42140 63166\n3451 5193\n36800 55191\n48043 72045\n99111 100000\n89810 100000\n11424 17199\n56263 84380\n15792 23693\n87646 100000\n94248 100000\n16172 24266\n51925 77891\n23618 35433\n67806 100000\n38810 58144\n5794 8738\n53181 79778\n5912 8925\n89131 100000\n60892 91356\n90586 100000\n63285 94955\n64772 97168\n6796 10264\n75385 100000\n62398 93612\n31809 47695\n67285 100000\n86280 100000\n18487 27706\n61971 92974\n74250 100000\n54026 81051\n50432 75639\n29379 44043\n92011 100000\n63064 94632\n82112 100000\n32950 49421\n32629 48937\n98136 100000\n28094 42120\n55166 82724\n80880 100000\n49999 74991\n81176 100000\n53658 80501\n14850 22281\n78376 100000\n16763 25145\n73467 100000\n96075 100000\n85815 100000\n56168 84239\n59308 88977\n42634 63897\n39317 58901\n56944 85418\n22912 34380\n5828 8789\n86693 100000\n20405 30595\n17632 26449\n53431 80149\n91989 100000\n78117 100000\n36305 54447\n85384 100000\n76551 100000\n9563 14385\n58775 88166\n68209 100000\n57715 86589\n63843 95786\n15186 22790\n77458 100000\n97124 100000\n27586 41355\n90066 100000\n51572 77370\n68363 100000\n78304 100000\n46104 69114\n43652 65408\n58648 87978\n49212 73796\n54458 81679\n49284 73908\n68803 100000\n47660 71480\n75588 100000\n1148 1733\n1450 2181\n99131 100000\n608 913\n78142 100000\n28341 42486\n89023 100000\n50549 75815\n20347 30505\n39583 59301\n82076 100000\n75923 100000\n20799 31182\n35339 52994\n19597 29384\n19047 28562\n35570 53341\n81946 100000\n78155 100000\n71304 100000\n26459 39672\n51432 77161\n47602 71390\n88476 100000\n46687 70004\n88276 100000\n7501 11305\n31545 47292\n92023 100000\n58552 87833\n95182 100000\n26372 39547\n71737 100000\n5877 8869\n25830 38736\n41496 62193\n99473 100000\n96616 100000\n68322 100000\n13726 20609\n25084 37613\n81463 100000\n37323 55958\n19031 28536\n47215 70801\n98078 100000\n10454 15741\n13677 20534\n24152 36220\n7002 10564\n80850 100000\n36025 54023\n68266 100000\n24954 37410\n15461 23203\n67707 100000\n66248 99363\n56734 85096\n81834 100000\n40804 61151\n48001 71980\n23862 35787\n67378 100000\n58671 88014\n97546 100000\n64660 97002\n10634 16017\n58374 87571\n9566 14390\n2588 3890\n24638 36935\n75423 100000\n29526 44273\n62815 94242\n29609 44391\n80596 100000\n66933 100000\n75992 100000\n87579 100000\n74329 100000\n29103 43629\n3498 5257\n12284 18493\n69109 100000\n65373 98058\n13847 20791\n85641 100000\n69361 100000\n41660 62446\n33541 50304\n49008 73495\n78544 100000\n23093 34649\n29626 44419\n17130 25700\n91672 100000\n73458 100000\n74264 100000\n99621 100000\n92424 100000\n34809 52213\n48322 72465\n86219 100000\n20232 30345\n86537 100000\n56083 84107\n35233 52842\n18814 28204\n66446 99669\n18151 27205\n93269 100000\n28422 42607\n7534 11353\n52781 79168\n7313 11022\n87882 100000\n5185 7823\n21328 31974\n69250 100000\n46854 70266\n710 1055\n53274 79915\n50746 76125\n47729 71583\n67894 100000\n24981 37451\n90360 100000\n32702 49046\n22842 34274\n78959 100000\n12893 19385\n95988 100000\n39928 59832\n47798 71686\n71958 100000\n54179 81275\n2654 3986\n24499 36731\n55402 83086\n16915 25365\n46680 69993\n25213 37800\n23621 35437\n86505 100000\n28116 42151\n74912 100000\n87859 100000\n9599 14437\n73576 100000\n48530 72782\n28672 42980\n51920 77883\n2038 3051\n70101 100000\n73735 100000\n60822 91240\n61478 92237\n95165 100000\n60808 91215\n92073 100000\n3369 5062\n35778 53651\n47150 70704\n7415 11173\n73090 100000\n66586 99882\n31622 47410\n46599 69872\n23340 35021\n15265 22912\n54221 81337\n29456 44163\n79176 100000\n63604 95425\n73695 100000\n81203 100000\n92570 100000\n55355 83012\n27299 40916\n76604 100000\n28885 43306\n96612 100000\n53359 80031\n88185 100000\n93125 100000\n71594 100000\n74759 100000\n55351 83008\n42170 63209\n48696 73036\n70869 100000\n25368 38029\n80925 100000\n78140 100000\n18297 27417\n13763 20662\n75236 100000\n99923 100000\n63115 94710\n34587 51880\n34054 51070\n62571 93869\n99048 100000\n3099 4655\n96768 100000\n85211 100000\n33721 50575\n90304 100000\n56460 84680\n34847 52267\n82138 100000\n15010 22521\n65705 98557\n72806 100000\n96377 100000\n38348 57466\n4636 6976\n15477 23224\n55569 83336\n75005 100000\n75355 100000\n87466 100000\n19297 28935\n46565 69822\n23583 35381\n9103 13694\n40838 61200\n69682 100000\n2413 3622\n40274 60352\n29195 43769\n9359 14077\n7040 10618\n17805 26709\n10764 16211\n10121 15252\n5490 8281\n61469 92224\n16015 24029\n84354 100000\n95323 100000\n10622 15998\n71212 100000\n11289 16998\n88832 100000\n54554 81817\n54710 82045\n57355 86050\n89405 100000\n42799 64126\n32129 48176\n86418 100000\n47317 70955\n21428 32132\n97026 100000\n83799 100000\n84724 100000\n57995 87007\n27126 40661\n60532 90821\n27566 41325\n34227 51327\n9815 14771\n77364 100000\n44957 67365\n13440 20196\n7949 11981\n45541 68245\n13377 20103\n9871 14856\n15360 23057\n13193 19832\n63051 94609\n77514 100000\n6691 10108\n64600 96913\n36866 55287\n3164 4756\n53036 79552\n51079 76638\n57706 86575\n7133 10756\n85355 100000\n35419 53118\n41600 62354\n99778 100000\n83228 100000\n76583 100000\n62908 94388\n90445 100000\n15387 23096\n25192 37771\n42152 63185\n54556 81819\n3279 4929\n34092 51127\n54118 81188\n91439 100000\n56040 84044\n53115 79682\n14932 22401\n24178 36259\n85598 100000\n55382 83058\n93023 100000\n44271 66337\n59799 89724\n60092 90166\n35684 53511\n43988 65911\n40418 60567\n509 761\n80102 100000\n39431 59070\n46580 69843\n44155 66162\n38773 58088\n67665 100000\n77046 100000\n84217 100000\n59483 89237\n22642 33972\n23106 34667\n6857 10353\n3600 5407\n11609 17478\n71748 100000\n1592 2390\n58347 87539\n14765 22156\n53918 80890\n83112 100000\n92924 100000\n46294 69412\n65420 98130\n59430 89158\n21468 32189\n40918 61324\n21622 32426\n85259 100000\n69679 100000\n83040 100000\n2766 4158\n1891 2832\n73450 100000\n13133 19743\n5979 9033\n4590 6906\n29051 43555\n18446 27639\n74423 100000\n78657 100000\n11078 16682\n74741 100000\n18167 27228\n82970 100000\n82525 100000\n17439 26160\n55039 82525\n98187 100000\n55886 83815\n32098 48134\n76608 100000\n38796 58124\n64335 96522\n85924 100000\n69193 100000\n835 1253\n12497 18810\n94614 100000\n98162 100000\n14 19\n72207 100000\n96053 100000\n75457 100000\n73732 100000\n97815 100000\n60364 90563\n96799 100000\n84636 100000\n26505 39738\n88850 100000\n96236 100000\n54818 82200\n33731 50589\n51404 77123\n6746 10188\n79576 100000\n95478 100000\n87002 100000\n386 567\n44805 67140\n31377 47040\n87676 100000\n11533 17361\n30375 45516\n75966 100000\n30362 45496\n85474 100000\n87960 100000\n89299 100000\n31491 47212\n95984 100000\n45886 68774\n93908 100000\n39467 59124\n39770 59588\n842 1265\n48493 72722\n2998 4506\n90150 100000\n38715 58006\n71947 100000\n2834 4258\n89471 100000\n74403 100000\n80037 100000\n54364 81553\n30708 46029\n71073 100000\n92730 100000\n81216 100000\n63457 95209\n69187 100000\n80128 100000\n30782 46146\n25157 37719\n5782 8721\n80157 100000\n56868 85304\n39124 58609\n29282 43904\n97143 100000\n3990 5992\n90579 100000\n87887 100000\n30853 46253\n78570 100000\n80602 100000\n1795 2688\n63237 94888\n69689 100000\n38179 57215\n72993 100000\n79348 100000\n73014 100000\n60779 91176\n51551 77335\n16794 25188\n67301 100000\n615 922\n1923 2875\n26740 40087\n47123 70662\n12793 19250\n38447 57620\n48557 72824\n41558 62287\n74320 100000\n46816 70206\n34563 51843\n66377 99568\n88261 100000\n91902 100000\n76625 100000\n3524 5292\n71633 100000\n5447 8220\n36299 54437\n29181 43752\n21444 32155\n20500 30740\n96226 100000\n88345 100000\n34666 51998\n99907 100000\n91107 100000\n8224 12377\n29799 44681\n8730 13140\n38420 57579\n72609 100000\n27668 41477\n8469 12752\n20593 30891\n43103 64583\n64793 97195\n99861 100000\n17466 26205\n23973 35959\n69378 100000\n65802 98695\n52162 78254\n94736 100000\n92314 100000\n90178 100000\n10306 15523\n59702 89575\n20156 30231\n64184 96292\n74809 100000\n73383 100000\n85290 100000\n29662 44472\n30067 45071\n20443 30648\n94132 100000\n87893 100000\n43223 64768\n32665 48992\n69676 100000\n2039 3053\n49209 73791\n42060 63043\n67341 100000\n91116 100000\n82118 100000\n76459 100000\n74304 100000\n90336 100000\n82722 100000\n41689 62487\n60268 90426\n84938 100000\n53358 80030\n30920 46357\n11933 17954\n719 1073\n94764 100000\n32002 47987\n51596 77406\n73804 100000\n36781 55165\n77577 100000\n15788 23688\n90514 100000\n37850 56730\n75949 100000\n57579 86381\n88343 100000\n99134 100000\n72958 100000\n26142 39210\n52827 79237\n12627 19002\n1357 2044\n76970 100000\n10492 15797\n67296 100000\n92992 100000\n68904 100000\n34210 51302\n97139 100000\n76353 100000\n57220 85839\n88913 100000\n54659 81969\n6035 9117\n88504 100000\n36705 55044\n81232 100000\n36811 55206\n70823 100000\n28735 43075\n45560 68273\n27508 41233\n19839 29746\n45546 68253\n26900 40321\n57290 85949\n28821 43204\n22354 33551\n54384 81578\n44000 65928\n73674 100000\n64978 97477\n15409 23128\n86726 100000\n22113 33188\n90671 100000\n23650 35481\n2798 4205\n35269 52894\n56919 85381\n4007 6014\n127 190\n72737 100000\n11529 17355\n10447 15732\n68449 100000\n33532 50295\n64331 96517\n86692 100000\n71047 100000\n15162 22752\n39313 58894\n36198 54278\n7047 10629\n84235 100000\n50623 75926\n71218 100000\n40707 60997\n63243 94894\n48571 72845\n93348 100000\n84241 100000\n81142 100000\n86405 100000\n97858 100000\n47252 70860\n99669 100000\n17052 25583\n64325 96506\n1114 1677\n72360 100000\n47728 71581\n62980 94503\n87789 100000\n35551 53312\n57641 86475\n52378 78570\n91515 100000\n78529 100000\n1078 1618\n73971 100000\n63678 95535\n80324 100000\n62904 94381\n71968 100000\n34962 52442\n76938 100000\n17690 26538\n29194 43768\n36850 55264\n55884 83813\n1768 2648\n49642 74463\n26851 40247\n77971 100000\n69750 100000\n52668 79003\n50842 76272\n64748 97134\n30759 46110\n56248 84359\n16170 24263\n81620 100000\n76920 100000\n24309 36450\n20713 31058\n54951 82398\n22851 34288\n61101 91671\n19470 29190\n27628 41420\n34287 51415\n62096 93159\n85275 100000\n29342 43993\n70884 100000\n98752 100000\n58573 87867\n64000 96025\n77204 100000\n82908 100000\n88817 100000\n3065 4607\n20712 31056\n62770 94170\n55623 83417\n90876 100000\n16651 24984\n25590 38365\n48319 72462\n3374 5068\n58269 87420\n61137 91728\n71993 100000\n36978 55452\n51639 77472\n83698 100000\n93500 100000\n849 1276\n83205 100000\n44826 67168\n37362 56015\n74791 100000\n57318 85992\n78081 100000\n78721 100000\n64834 97256\n22914 34383\n65540 98311\n92394 100000\n22983 34490\n75931 100000\n60313 90491\n41617 62380\n56970 85458\n55377 83049\n26482 39707\n7341 11063\n69285 100000\n82610 100000\n6387 9649\n81762 100000\n13596 20412\n46200 69257\n91717 100000\n94979 100000\n874 1311\n42712 64001\n54847 82248\n3361 5051\n21751 32629\n79230 100000\n31581 47345\n4869 7339\n18785 28163\n14365 21563\n58541 87817\n9831 14796\n76413 100000\n43518 65204\n49946 74906\n10287 15495\n39642 59387\n22619 33938\n76532 100000\n7318 11029\n97084 100000\n80722 100000\n36901 55339\n54652 81957\n6405 9675\n73016 100000\n77004 100000\n73921 100000\n48015 72001\n39248 58799\n26377 39554\n58842 88266\n76839 100000\n27927 41865\n4057 6087\n51439 77171\n44245 66296\n18984 28464\n20671 30999\n34479 51710\n92696 100000\n81371 100000\n42049 63028\n82122 100000\n47628 71434\n57173 85769\n91996 100000\n65622 98434\n54727 82069\n20933 31380\n23020 34541\n439 650\n42197 63250\n19912 29860\n70741 100000\n65938 98896\n84278 100000\n10490 15795\n67867 100000\n61415 92145\n40602 60838\n60279 90441\n10504 15815\n84010 100000\n33179 49773\n50050 75065\n67493 100000\n93086 100000\n19271 28896\n72341 100000\n82387 100000\n42549 63769\n95294 100000\n70678 100000\n86449 100000\n12012 18077\n91263 100000\n34861 52286\n80295 100000\n77460 100000\n70924 100000\n18089 27119\n97261 100000\n54381 81575\n81110 100000\n66953 100000\n78037 100000\n93815 100000\n48335 72481\n76286 100000\n49247 73851\n90834 100000\n90351 100000\n55961 83930\n66980 100000\n25933 38890\n82859 100000\n34786 52180\n61487 92251\n39351 58951\n61380 92091\n90935 100000\n77052 100000\n91514 100000\n14080 21129\n33781 50663\n71913 100000\n53720 80591\n25209 37795\n90913 100000\n29735 44586\n37987 56930\n70338 100000\n49819 74717\n33135 49710\n62767 94164\n2049 3069\n46084 69084\n49744 74611\n65104 97663\n92431 100000\n85034 100000\n4117 6182\n18907 28341\n76442 100000\n7813 11777\n91819 100000\n37499 56214\n9027 13584\n35247 52864\n65238 97859\n53597 80410\n49435 74140\n53092 79645\n50404 75598\n64266 96415\n45024 67461\n8899 13389\n71892 100000\n49821 74720\n22809 34225\n70615 100000\n35169 52744\n14963 22449\n90853 100000\n42604 63850\n64171 96274\n1663 2499\n77687 100000\n44410 66550\n62122 93201\n15390 23099\n73155 100000\n59035 88554\n36870 55292\n34467 51690\n50897 76361\n84609 100000\n83870 100000\n61320 92000\n47807 71700\n24339 36497\n55401 83084\n17289 25939\n20404 30594\n92656 100000\n35171 52747\n39145 58639\n70326 100000\n99696 100000\n1011 1520\n84289 100000\n40168 60195\n57970 86968\n44867 67234\n46142 69168\n87762 100000\n7752 11688\n58060 87107\n84157 100000\n79852 100000\n89494 100000\n41552 62279\n25450 38151\n98502 100000\n69322 100000\n95983 100000\n89298 100000\n36143 54201\n82119 100000\n12807 19272\n17373 26064\n91426 100000\n94123 100000\n14087 21139\n81699 100000\n28805 43180\n98954 100000\n75300 100000\n40324 60425\n20029 30039\n36307 54451\n88947 100000\n76450 100000\n53729 80606\n92555 100000\n30515 45740\n64522 96798\n22897 34358\n753 1127\n72510 100000\n86391 100000\n15314 22981\n65890 98822\n13833 20769\n42200 63253\n76833 100000\n80803 100000\n31076 46586\n81096 100000\n11145 16781\n50165 75236\n82618 100000\n81283 100000\n31774 47637\n74173 100000\n68912 100000\n91565 100000\n95308 100000\n85874 100000\n19489 29217\n48292 72419\n70718 100000\n47393 71070\n39333 58924\n2904 4362\n5792 8734\n23554 35333\n74508 100000\n1561 2350\n10678 16082\n74921 100000\n24273 36398\n27231 40813\n28763 43117\n45908 68813\n21249 31855\n11995 18051\n21159 31722\n43667 65430\n46195 69249\n32595 48886\n51633 77464\n37953 56878\n34803 52205\n77550 100000\n42542 63759\n11459 17256\n12457 18745\n44870 67239\n31071 46579\n52046 78073\n72297 100000\n18725 28075\n6255 9446\n96268 100000\n46005 68962\n37233 55820\n15766 23655\n52479 78720\n61234 91871\n12777 19225\n43076 64544\n91293 100000\n72355 100000\n77244 100000\n85158 100000\n91787 100000\n63706 95573\n77712 100000\n72778 100000\n65454 98183\n43332 64932\n56434 84636\n85882 100000\n61035 91569\n93099 100000\n65994 98985\n71966 100000\n46493 69714\n94005 100000\n14256 21388\n59137 88711\n77761 100000\n3963 5948\n56471 84697\n83583 100000\n62723 94099\n50418 75618\n15178 22778\n49177 73744\n88119 100000\n28938 43383\n28894 43321\n11292 17004\n16886 25326\n79713 100000\n18351 27500\n31048 46544\n43817 65652\n8691 13083\n54114 81182\n55154 82707\n20527 30781\n89409 100000\n9882 14873\n65720 98577\n94750 100000\n89575 100000\n9672 14548\n27122 40655\n67130 100000\n99169 100000\n44013 65945\n35303 52941\n64760 97152\n6399 9666\n80500 100000\n63660 95507\n95082 100000\n44857 67219\n80317 100000\n7409 11165\n58131 87214\n28176 42240\n46249 69340\n2672 4016\n67803 100000\n15740 23617\n17584 26383\n75317 100000\n3761 5642\n63104 94693\n38482 57668\n83039 100000\n53173 79766\n70373 100000\n86865 100000\n15641 23478\n77706 100000\n76999 100000\n87944 100000\n57681 86535\n19102 28645\n61694 92557\n38325 57436\n57636 86468\n49358 74025\n20619 30928\n83686 100000\n6340 9580\n96846 100000\n51832 77752\n31817 47708\n13760 20658\n2318 3483\n51933 77902\n52957 79429\n94258 100000\n95608 100000\n58606 87912\n80000 100000\n94066 100000\n31061 46565\n364 533\n89505 100000\n49648 74471\n65098 97653\n38991 58419\n69240 100000\n76580 100000\n19258 28875\n90338 100000\n49187 73758\n62173 93273\n23793 35690\n53767 80667\n88794 100000\n82415 100000\n4895 7380\n89192 100000\n88051 100000\n90326 100000\n5416 8173\n52398 78601\n32701 49045\n52570 78860\n55894 83826\n31414 47100\n93295 100000\n26195 39283\n91931 100000\n21676 32516\n38556 57781\n84523 100000\n89229 100000\n35975 53949\n89349 100000\n46340 69484\n48063 72077\n51488 77239\n45904 68806\n26999 40466\n1970 2949\n84431 100000\n5669 8549\n6359 9609\n5972 9023\n58538 87814\n92764 100000\n91639 100000\n19425 29121\n47072 70588\n99126 100000\n42814 64146\n23148 34729\n30551 45796\n89651 100000\n1162 1754\n36294 54429\n32420 48618\n38214 57266\n75715 100000\n93106 100000\n29445 44149\n97520 100000\n68018 100000\n73981 100000\n91840 100000\n94775 100000\n22313 33493\n86701 100000\n44668 66942\n52030 78051\n59185 88781\n41831 62698\n6470 9769\n42028 62997\n8000 12053\n74662 100000\n73898 100000\n13912 20889\n99350 100000\n19345 29005\n48877 73302\n15987 23986\n82703 100000\n12312 18531\n11086 16694\n82338 100000\n82590 100000\n47111 70643\n37652 56437\n37928 56841\n36625 54929\n10380 15637\n37003 55485\n3676 5520\n22639 33968\n97711 100000\n45844 68713\n86226 100000\n96054 100000\n35207 52803\n39358 58962\n62054 93094\n88015 100000\n54405 81607\n40295 60386\n65633 98451\n65898 98835\n76957 100000\n74709 100000\n57114 85679\n39074 58536\n639 956\n55957 83923\n51846 77771\n12539 18870\n4731 7125\n19698 29537\n50110 75150\n69912 100000\n20402 30591\n49912 74857\n59776 89690\n26497 39729\n61578 92390\n82532 100000\n69151 100000\n54278 81423\n68629 100000\n20429 30627\n33291 49933\n82264 100000\n94554 100000\n43991 65915\n81950 100000\n89116 100000\n15197 22808\n33260 49886\n51802 77709\n25949 38914\n98118 100000\n22986 34493\n340 496\n30029 45022\n97630 100000\n22035 33074\n71567 100000\n67766 100000\n98658 100000\n57046 85575\n99058 100000\n41819 62679\n11577 17430\n63105 94695\n17102 25658\n30734 46073\n22396 33614\n20598 30898\n46553 69808\n59057 88591\n96246 100000\n82745 100000\n49531 74290\n96528 100000\n96251 100000\n84310 100000\n90659 100000\n67411 100000\n30225 45299\n5445 8216\n68502 100000\n51414 77136\n48872 73295\n94333 100000\n51109 76684\n82019 100000\n23500 35258\n86452 100000\n86635 100000\n60546 90842\n96824 100000\n81225 100000\n25173 37741\n19458 29173\n1761 2638\n15590 23400\n8025 12087\n47819 71718\n2333 3508\n99292 100000\n32407 48599\n54711 82046\n41873 62764\n86728 100000\n97765 100000\n67265 100000\n62775 94179\n55499 83237\n7837 11815\n52148 78231\n21216 31809\n33219 49829\n22261 33418\n94402 100000\n92813 100000\n85771 100000\n3928 5901\n78205 100000\n30068 45072\n85194 100000\n74982 100000\n90500 100000\n61832 92766\n94027 100000\n14659 22002\n12120 18243\n87545 100000\n70099 100000\n27333 40966\n73535 100000\n99769 100000\n41991 62943\n79869 100000\n59739 89633\n51790 77691\n82192 100000\n21876 32829\n39386 59006\n67729 100000\n89997 100000\n43543 65244\n39829 59681\n52746 79118\n16254 24391\n8097 12198\n96622 100000\n8830 13286\n15431 23159\n23476 35222\n10965 16514\n11992 18046\n25454 38158\n55224 82803\n86387 100000\n35005 52502\n12679 19083\n27558 41313\n10433 15713\n29111 43641\n71387 100000\n89864 100000\n74057 100000\n9201 13841\n25823 38724\n91588 100000\n90640 100000\n31461 47169\n97221 100000\n87290 100000\n96873 100000\n9671 14547\n24344 36503\n10903 16419\n18841 28242\n42119 63133\n26128 39189\n75067 100000\n54935 82373\n9357 14074\n29395 44071\n77258 100000\n79323 100000\n4160 6248\n51186 76800\n85933 100000\n13091 19685\n6482 9790\n72946 100000\n67215 100000\n48975 73447\n36556 54827\n16581 24880\n52393 78593\n49539 74304\n20491 30725\n91094 100000\n49760 74634\n6447 9735\n46847 70256\n22625 33948\n31409 47092\n56244 84352\n29717 44556\n88665 100000\n61385 92098\n64862 97299\n26242 39356\n9478 14260\n42710 63997\n61274 91926\n43616 65350\n89415 100000\n69838 100000\n50267 75390\n98512 100000\n33811 50708\n62939 94438\n84634 100000\n36973 55445\n96080 100000\n85670 100000\n59434 89164\n7059 10646\n55869 83789\n51150 76746\n64528 96809\n49206 73788\n87427 100000\n86784 100000\n46917 70361\n49701 74554\n309 453\n291 425\n14890 22339\n18782 28158\n53283 79928\n35299 52936\n37293 55918\n10446 15730\n9454 14223\n82919 100000\n12841 19317\n37733 56552\n62343 93528\n73344 100000\n24256 36372\n77941 100000\n5453 8229\n50665 75989\n35549 53309\n64568 96867\n65785 98668\n80570 100000\n559 841\n56811 85215\n54154 81239\n63909 95889\n20877 31297\n39445 59088\n53437 80157\n89005 100000\n75105 100000\n4870 7341\n14863 22297\n75118 100000\n92414 100000\n42647 63914\n27766 41621\n97492 100000\n11290 17000\n76810 100000\n82020 100000\n94792 100000\n62915 94398\n59769 89680\n90906 100000\n50598 75890\n42421 63585\n87922 100000\n14637 21968\n86189 100000\n54209 81320\n69348 100000\n74161 100000\n35856 53769\n24036 36049\n49532 74292\n44160 66169\n657 980\n89901 100000\n16235 24363\n5705 8606\n98077 100000\n5149 7766\n34336 51491\n36903 55342\n11488 17298\n29641 44441\n70911 100000\n77664 100000\n40227 60280\n18466 27671\n9624 14476\n81602 100000\n36929 55380\n90420 100000\n63287 94957\n43643 65393\n92690 100000\n89919 100000\n4172 6266\n19696 29534\n81589 100000\n41766 62601\n94657 100000\n59873 89831\n17944 26909\n86217 100000\n76357 100000\n6854 10348\n39377 58989\n21070 31587\n29450 44156\n81315 100000\n38040 57005\n78061 100000\n39398 59022\n89046 100000\n47426 71120\n19726 29584\n59047 88574\n53257 79891\n20645 30962\n15379 23084\n89454 100000\n35008 52505\n16446 24684\n43310 64903\n72912 100000\n51659 77500\n69384 100000\n99060 100000\n8512 12817\n79614 100000\n29152 43702\n96079 100000\n68983 100000\n73920 100000\n88271 100000\n21478 32206\n42175 63215\n37807 56666\n82724 100000\n45045 67494\n58322 87502\n27359 41005\n28892 43317\n4254 6398\n442 656\n49972 74948\n71183 100000\n13946 20936\n2810 4223\n87348 100000\n28151 42205\n73227 100000\n13533 20323\n56906 85361\n54252 81385\n40289 60375\n31140 46679\n74315 100000\n96121 100000\n69774 100000\n83552 100000\n32527 48788\n51689 77548\n9581 14410\n22014 33040\n8489 12784\n38691 57973\n80012 100000\n85717 100000\n13814 20741\n20214 30319\n95240 100000\n14034 21062\n92295 100000\n96147 100000\n4421 6653\n58579 87874\n54721 82061\n58709 88068\n44470 66641\n4425 6660\n59777 89692\n85120 100000\n80801 100000\n49044 73551\n68082 100000\n55058 82556\n2423 3637\n52852 79275\n94368 100000\n12321 18545\n2383 3579\n23112 34676\n38097 57089\n96899 100000\n8553 12883\n55044 82532\n33268 49898\n66633 99952\n97582 100000\n76952 100000\n58785 88181\n92010 100000\n54158 81243\n87406 100000\n60458 90706\n57390 86101\n18373 27534\n37801 56658\n7120 10735\n99684 100000\n36408 54600\n9367 14088\n3529 5300\n15760 23648\n30025 45016\n42359 63494\n72494 100000\n55122 82657\n94013 100000\n27838 41735\n31417 47103\n13206 19848\n14676 22026\n37740 56563\n56611 84917\n57521 86298\n90756 100000\n23923 35882\n13754 20650\n54738 82088\n83591 100000\n8381 12613\n28847 43248\n87576 100000\n68176 100000\n98371 100000\n14764 22154\n19137 28697\n23977 35964\n55783 83657\n18160 27219\n61691 92554\n62912 94394\n6102 9213\n58598 87900\n67679 100000\n31511 47243\n39217 58755\n69213 100000\n41620 62384\n61612 92436\n88312 100000\n78559 100000\n26243 39358\n55932 83887\n22449 33701\n73625 100000\n26190 39275\n35640 53448\n21939 32923\n3936 5912\n19173 28751\n80828 100000\n18847 28253\n28031 42036\n32364 48531\n61951 92941\n82094 100000\n10169 15323\n25606 38393\n76524 100000\n24955 37411\n70864 100000\n40116 60116\n94082 100000\n9489 14275\n31596 47368\n94389 100000\n19930 29886\n58248 87389\n93932 100000\n2421 3634\n5426 8190\n88999 100000\n53105 79665\n38019 56978\n53906 80869\n59767 89677\n55792 83671\n32456 48675\n74510 100000\n80685 100000\n2340 3518\n3616 5430\n15227 22858\n67034 100000\n94 143\n30136 45173\n99407 100000\n7613 11473\n5299 7998\n21290 31915\n1824 2730\n99788 100000\n5659 8534\n19487 29215\n18175 27241\n76183 100000\n26405 39599\n16262 24402\n57092 85644\n68135 100000\n35794 53674\n55963 83932\n77490 100000\n82319 100000\n33235 49851\n41555 62283\n3487 5242\n78351 100000\n84607 100000\n85487 100000\n86787 100000\n98022 100000\n75938 100000\n96637 100000\n21783 32682\n12831 19305\n75589 100000\n88537 100000\n7093 10694\n98871 100000\n7612 11471\n38086 57073\n17315 25979\n54296 81451\n15854 23781\n38385 57526\n57126 85700\n89778 100000\n72873 100000\n14096 21154\n84988 100000\n95824 100000\n91049 100000\n16263 24404\n99736 100000\n59141 88717\n45769 68602\n45407 68046\n62558 93846\n90838 100000\n50795 76197\n95386 100000\n68795 100000\n45586 68314\n24969 37434\n5126 7731\n32888 49326\n42985 64403\n14122 21195\n56809 85211\n7444 11221\n10176 15333\n18826 28221\n38288 57379\n90447 100000\n15059 22592\n31663 47469\n878 1316\n48784 73164\n64858 97292\n30790 46159\n76972 100000\n90664 100000\n42774 64089\n45171 67692\n7800 11760\n76156 100000\n46595 69866\n7441 11217\n49110 73641\n56576 84858\n12655 19044\n14293 21453\n53444 80169\n31711 47546\n87581 100000\n2246 3371\n49155 73711\n4783 7204\n67604 100000\n40688 60969\n94885 100000\n71032 100000\n38127 57135\n16977 25465\n66885 100000\n88196 100000\n82981 100000\n18472 27681\n5909 8921\n63692 95553\n17329 26001\n42842 64191\n32416 48613\n69705 100000\n5887 8887\n52354 78537\n46247 69337\n64181 96287\n93301 100000\n61183 91795\n88328 100000\n88762 100000\n98769 100000\n11806 17757\n33678 50511\n40434 60589\n41321 61922\n70931 100000\n17193 25794\n17236 25855\n43393 65018\n1320 1986\n45712 68521\n26096 39141\n86154 100000\n75368 100000\n79016 100000\n18150 27204\n44688 66970\n82671 100000\n533 799\n41693 62494\n18299 27421\n48101 72133\n41806 62658\n65527 98290\n78839 100000\n23231 34858\n82756 100000\n27040 40529\n72901 100000\n16830 25239\n4166 6255\n45505 68187\n38199 57243\n45868 68745\n95586 100000\n2463 3697\n12922 19426\n71331 100000\n70210 100000\n85464 100000\n71002 100000\n9820 14780\n83075 100000\n40064 60036\n20130 30191\n60034 90073\n52176 78271\n59550 89343\n31122 46653\n63652 95494\n70014 100000\n36250 54357\n50833 76258\n75601 100000\n67624 100000\n65719 98576\n98374 100000\n87346 100000\n63236 94886\n71666 100000\n47788 71671\n72163 100000\n12969 19499\n83374 100000\n44137 66135\n21471 32194\n48224 72319\n77923 100000\n99164 100000\n59297 88958\n83844 100000\n33348 50014\n76514 100000\n27475 41181\n55712 83550\n8275 12448\n72081 100000\n30322 45440\n31009 46487\n22116 33192\n79287 100000\n53357 80029\n14555 21846\n67732 100000\n11658 17545\n6786 10249\n56729 85088\n44753 67067\n66498 99748\n3747 5623\n54604 81892\n74579 100000\n99369 100000\n8825 13278\n12149 18290\n18427 27612\n21220 31814\n72480 100000\n47246 70851\n95737 100000\n59188 88786\n14793 22195\n38689 57970\n92104 100000\n7300 11004\n74568 100000\n48869 73290\n33723 50577\n87874 100000\n20909 31344\n36730 55086\n81585 100000\n93610 100000\n75135 100000\n82894 100000\n91933 100000\n25417 38106\n44248 66302\n74170 100000\n83514 100000\n25679 38501\n62631 93965\n96755 100000\n46388 69558\n3057 4595\n98935 100000\n94214 100000\n27047 40542\n35180 52761\n33730 50588\n31988 47964\n40912 61317\n29146 43693\n55256 82860\n81284 100000\n96473 100000\n26605 39884\n57223 85843\n96736 100000\n93850 100000\n45168 67687\n48009 71992\n72161 100000\n54783 82149\n33864 50788\n12486 18792\n93700 100000\n12471 18769\n2666 4005\n7875 11871\n7938 11964\n39044 58498\n64163 96265\n64691 97054\n78222 100000\n61206 91831\n31635 47429\n16166 24256\n98545 100000\n96104 100000\n35279 52909\n6635 10021\n12687 19093\n70083 100000\n82312 100000\n1664 2501\n30539 45778\n84610 100000\n77061 100000\n36087 54113\n31695 47519\n86386 100000\n91731 100000\n47040 70546\n94612 100000\n23003 34517\n66766 100000\n22377 33585\n80875 100000\n83098 100000\n39400 59025\n23028 34553\n17641 26463\n89975 100000\n80396 100000\n57788 86693\n82154 100000\n86685 100000\n3084 4634\n9981 15036\n97157 100000\n75660 100000\n11570 17418\n30476 45679\n70352 100000\n85467 100000\n92573 100000\n78119 100000\n33215 49824\n43809 65639\n71415 100000\n87968 100000\n27239 40826\n74482 100000\n5067 7642\n10478 15778\n92867 100000\n34143 51200\n94204 100000\n64990 97495\n42907 64284\n99084 100000\n58458 87694\n21583 32360\n15911 23868\n57089 85639\n20657 30979\n66231 99339\n62835 94276\n5375 8114\n87297 100000\n11862 17847\n86396 100000\n77285 100000\n29773 44644\n61046 91586\n41216 61771\n31880 47800\n83801 100000\n80678 100000\n57394 86108\n15909 23864\n53913 80882\n36473 54699\n37296 55922\n23213 34829\n52153 78239\n92864 100000\n36371 54544\n52826 79235\n29099 43623\n72399 100000\n95377 100000\n26373 39548\n61753 92648\n27489 41202\n74039 100000\n24426 36623\n79853 100000\n52197 78306\n81334 100000\n45800 68646\n30512 45735\n73515 100000\n98915 100000\n26522 39765\n94556 100000\n51869 77805\n89637 100000\n36861 55281\n95699 100000\n99857 100000\n3182 4780\n35636 53442\n10450 15736\n84361 100000\n65199 97804\n16035 24060\n55691 83519\n5635 8498\n76118 100000\n55798 83679\n39670 59434\n92352 100000\n52883 79323\n63622 95454\n279 409\n1339 2013\n4055 6085\n87398 100000\n69715 100000\n86475 100000\n30372 45512\n66200 99293\n930 1397\n83420 100000\n20714 31060\n34391 51578\n53671 80521\n45924 68836\n99250 100000\n23830 35739\n33804 50698\n78247 100000\n72464 100000\n64798 97203\n28883 43303\n6208 9372\n90022 100000\n94814 100000\n52810 79214\n15730 23606\n71562 100000\n71441 100000\n17649 26476\n40449 60612\n57441 86175\n19206 28802\n8132 12243\n46763 70124\n55576 83347\n27292 40906\n4077 6119\n73742 100000\n58008 87028\n29696 44526\n34164 51235\n93418 100000\n38190 57227\n57810 86722\n57588 86393\n71452 100000\n6914 10437\n3549 5326\n66829 100000\n70056 100000\n3158 4748\n17030 25549\n63782 95694\n4086 6132\n21382 32058\n19360 29025\n7524 11338\n70955 100000\n55838 83740\n77169 100000\n17410 26119\n88337 100000\n60794 91196\n72314 100000\n9250 13914\n94532 100000\n58209 87330\n60848 91284\n89063 100000\n39226 58770\n66301 99449\n50501 75746\n7201 10854\n35508 53250\n5434 8199\n89475 100000\n73825 100000\n78898 100000\n3641 5467\n6398 9665\n37548 56286\n98791 100000\n36576 54856\n43592 65316\n74724 100000\n27504 41227\n48164 72228\n59700 89572\n30630 45914\n65758 98633\n51368 77074\n94072 100000\n79137 100000\n5485 8274\n95239 100000\n82954 100000\n92745 100000\n16199 24308\n58120 87198\n51328 77014\n46961 70426\n65775 98656\n25764 38632\n92805 100000\n68937 100000\n53799 80712\n26251 39370\n50058 75076\n65922 98871\n22718 34085\n39461 59114\n46697 70020\n24441 36646\n26129 39191\n46592 69863\n45600 68336\n44918 67305\n27431 41112\n40401 60543\n49184 73755\n32354 48515\n79519 100000\n41980 62927\n1392 2094\n18215 27295\n24110 36157\n12676 19078\n80126 100000\n97133 100000\n25865 38785\n10555 15890\n67490 100000\n6915 10438\n72835 100000\n98259 100000\n11428 17205\n82231 100000\n76859 100000\n86431 100000\n50923 76400\n2504 3760\n15531 23309\n87139 100000\n92249 100000\n83638 100000\n5727 8637\n29984 44953\n57400 86117\n12848 19325\n93923 100000\n80741 100000\n83481 100000\n84185 100000\n30912 46345\n74207 100000\n70263 100000\n96356 100000\n80399 100000\n73360 100000\n15011 22523\n25486 38207\n70256 100000\n65030 97556\n18273 27384\n76961 100000\n37674 56469\n55230 82815\n20637 30952\n64157 96255\n23737 35613\n40298 60389\n25408 38092\n11421 17195\n93209 100000\n86957 100000\n77697 100000\n4721 7109\n72119 100000\n67082 100000\n24386 36565\n59253 88889\n39786 59615\n83412 100000\n93272 100000\n460 684\n36784 55168\n56285 84415\n23909 35860\n14629 21955\n30385 45530\n97875 100000\n17566 26356\n11588 17448\n16351 24543\n26652 39958\n5717 8624\n80842 100000\n50858 76296\n40215 60262\n97594 100000\n17123 25691\n18488 27708\n38484 57671\n38042 57008\n74914 100000\n53079 79624\n86910 100000\n70883 100000\n2523 3789\n96021 100000\n61543 92340\n36363 54532\n57000 85503\n71318 100000\n8384 12618\n63853 95803\n11177 16833\n14153 21240\n56907 85363\n46683 69998\n54361 81548\n64508 96778\n76051 100000\n44357 66463\n92480 100000\n9805 14758\n664 989\n93607 100000\n89150 100000\n9014 13562\n11235 16920\n3102 4659\n35991 53973\n72563 100000\n80694 100000\n2212 3316\n31986 47961\n3157 4746\n92492 100000\n69664 100000\n74351 100000\n12092 18199\n52896 79342\n66713 100000\n4573 6879\n23208 34820\n88932 100000\n33838 50750\n34508 51754\n54596 81878\n58295 87461\n13705 20578\n10449 15734\n56515 84760\n30588 45852\n18243 27335\n18025 27027\n4463 6719\n4985 7517\n90381 100000\n96605 100000\n27042 40532\n5503 8301\n73943 100000\n10900 16414\n54756 82113\n52226 78347\n58906 88355\n70106 100000\n93516 100000\n50908 76376\n79719 100000\n48972 73442\n69620 100000\n10296 15505\n85255 100000\n69315 100000\n53293 79943\n61021 91550\n30030 45024\n97443 100000\n66101 99154\n55998 83980\n6804 10276\n36034 54035\n6248 9437\n68026 100000\n79069 100000\n3795 5694\n22084 33142\n50571 75849\n57206 85819\n62639 93977\n3231 4853\n9527 14332\n90584 100000\n15789 23689\n6578 9936\n98164 100000\n54979 82434\n77325 100000\n21943 32929\n78262 100000\n1605 2410\n27332 40965\n26820 40203\n94247 100000\n7067 10657\n30623 45904\n25338 37982\n36321 54472\n7762 11701\n3492 5250\n31934 47877\n84982 100000\n44358 66464\n16395 24609\n94009 100000\n38074 57055\n47740 71597\n98256 100000\n36444 54654\n93822 100000\n81186 100000\n83041 100000\n41952 62882\n51844 77769\n91079 100000\n26600 39877\n80755 100000\n37623 56393\n82092 100000\n94505 100000\n24620 36909\n15577 23380\n62642 93982\n7660 11544\n41899 62805\n1729 2596\n43601 65331\n53333 79997\n47950 71909\n34875 52307\n14691 22048\n9177 13805\n42062 63047\n95092 100000\n5810 8762\n66158 99235\n65655 98483\n77195 100000\n53060 79590\n10317 15540\n4149 6231\n26835 40224\n74474 100000\n89418 100000\n93649 100000\n18525 27760\n60391 90603\n68748 100000\n47822 71722\n96056 100000\n48807 73197\n60327 90509\n24712 37046\n61921 92901\n71127 100000\n71743 100000\n71103 100000\n64707 97079\n96503 100000\n35768 53637\n17852 26780\n40044 60005\n39692 59466\n80762 100000\n80605 100000\n74486 100000\n68574 100000\n86230 100000\n85455 100000\n36921 55368\n22872 34317\n87840 100000\n43746 65546\n55210 82781\n58233 87366\n28397 42569\n69459 100000\n85195 100000\n22931 34409\n58711 88070\n24446 36656\n88079 100000\n47400 71083\n70187 100000\n191 283\n76734 100000\n17386 26086\n88903 100000\n54051 81090\n56082 84106\n35594 53379\n23861 35786\n38117 57118\n93120 100000\n20609 30914\n49199 73777\n40742 61050\n9724 14629\n32739 49104\n25026 37524\n75332 100000\n84605 100000\n60805 91210\n25272 37886\n7996 12047\n19107 28653\n66501 99753\n42883 64249\n29605 44386\n92518 100000\n32709 49056\n46661 69962\n69879 100000\n17305 25964\n23998 35993\n37594 56352\n83385 100000\n1856 2778\n77290 100000\n62635 93972\n56295 84432\n2451 3679\n21161 31726\n74297 100000\n28318 42452\n31893 47821\n38779 58099\n60095 90170\n31806 47690\n90805 100000\n64910 97374\n24960 37419\n3241 4870\n48814 73207\n48504 72742\n5949 8984\n45411 68050\n47061 70572\n13465 20229\n97496 100000\n26889 40305\n16735 25107\n55445 83153\n92950 100000\n11357 17099\n73287 100000\n65683 98526\n33003 49505\n98103 100000\n49066 73581\n80492 100000\n64939 97417\n65827 98729\n2309 3469\n56461 84681\n70436 100000\n43683 65454\n62100 93166\n36945 55403\n34689 52036\n79356 100000\n72831 100000\n11150 16789\n35164 52735\n21989 32999\n62116 93191\n58605 87911\n42833 64175\n86955 100000\n99267 100000\n30721 46050\n84655 100000\n55117 82649\n53110 79673\n79920 100000\n8071 12157\n51484 77232\n51976 77965\n99538 100000\n55701 83533\n97730 100000\n21281 31903\n36327 54482\n51722 77594\n46664 69966\n45998 68951\n86171 100000\n68141 100000\n83363 100000\n28814 43192\n43621 65358\n99437 100000\n70456 100000\n8379 12611\n93488 100000\n77176 100000\n34979 52465\n57989 86998\n90564 100000\n96971 100000\n89235 100000\n39577 59291\n29765 44632\n96883 100000\n64260 96408\n12653 19041\n92568 100000\n76146 100000\n87400 100000\n55689 83516\n93602 100000\n98647 100000\n34721 52082\n72913 100000\n24259 36377\n81478 100000\n57526 86306\n50993 76513\n61848 92789\n88236 100000\n36129 54178\n61859 92807\n51649 77487\n18597 27869\n2053 3076\n33376 50057\n92616 100000\n87802 100000\n32848 49263\n22622 33942\n69668 100000\n94399 100000\n13319 20015\n8360 12579\n58323 87503\n83887 100000\n54294 81449\n11601 17466\n9479 14261\n44673 66951\n56171 84243\n79794 100000\n36258 54369\n89742 100000\n40668 60936\n23705 35561\n95917 100000\n33254 49879\n85083 100000\n23442 35168\n44970 67383\n64635 96966\n91403 100000\n29871 44782\n17794 26692\n3244 4874\n178 264\n6173 9322\n88359 100000\n70016 100000\n33468 50204\n7003 10566\n1782 2670\n50291 75426\n79261 100000\n90376 100000\n86706 100000\n60436 90673\n84328 100000\n42021 62986\n82709 100000\n94054 100000\n79958 100000\n25349 38000\n2762 4150\n89329 100000\n66612 99918\n39582 59299\n19040 28550\n88745 100000\n13926 20910\n9552 14370\n43185 64707\n60683 91042\n73037 100000\n7720 11640\n7812 11775\n32258 48372\n60350 90545\n85444 100000\n21081 31605\n41630 62400\n19212 28811\n69685 100000\n20552 30822\n86076 100000\n53897 80855\n14897 22350\n45262 67823\n20254 30376\n54406 81608\n94172 100000\n45113 67599\n8984 13517\n58424 87647\n73248 100000\n60088 90160\n64349 96544\n11163 16811\n79983 100000\n8343 12551\n40754 61070\n72016 100000\n42289 63387\n47422 71113\n10959 16505\n59322 88996\n13954 20948\n42621 63876\n57652 86490\n96097 100000\n27080 40588\n21795 32702\n37328 55967\n97908 100000\n48574 72850\n50116 75161\n86277 100000\n18570 27826\n39330 58920\n92865 100000\n69088 100000\n97485 100000\n44745 67054\n12235 18419\n87661 100000\n74968 100000\n23722 35588\n25946 38910\n97316 100000\n73113 100000\n55295 82924\n77863 100000\n49016 73507\n98444 100000\n80330 100000\n13448 20206\n10374 15627\n13045 19616\n42935 64327\n73544 100000\n12230 18411\n26530 39776\n76329 100000\n94933 100000\n5395 8144\n93442 100000\n47038 70543\n7638 11511\n20257 30380\n62726 94104\n18949 28405\n73183 100000\n78269 100000\n27280 40888\n88989 100000\n99226 100000\n10642 16028\n17839 26762\n8421 12680\n21094 31624\n82065 100000\n5562 8389\n6266 9462\n80636 100000\n19391 29070\n25994 38983\n29656 44464\n88572 100000\n76115 100000\n28015 42011\n78863 100000\n3195 4799\n7016 10582\n60854 91295\n1223 1838\n29161 43718\n66169 99252\n28439 42631\n85296 100000\n35609 53400\n47384 71057\n44605 66848\n59175 88765\n37282 55901\n63490 95261\n54343 81524\n75303 100000\n33256 49881\n58701 88055\n51924 77889\n27601 41378\n91472 100000\n91197 100000\n86329 100000\n21464 32183\n31029 46517\n39094 58565\n5938 8969\n84475 100000\n15678 23531\n11243 16933\n36806 55199\n74997 100000\n94421 100000\n91495 100000\n40666 60934\n68132 100000\n3805 5709\n91162 100000\n42929 64319\n7287 10985\n75492 100000\n89122 100000\n21424 32126\n22945 34429\n11069 16668\n83625 100000\n7412 11170\n53524 80289\n31921 47858\n84768 100000\n59608 89434\n92534 100000\n62329 93506\n13168 19796\n4448 6698\n87409 100000\n13896 20868\n17082 25630\n13004 19551\n5565 8394\n64885 97335\n35786 53663\n22027 33061\n56509 84750\n79603 100000\n18193 27264\n20090 30133\n99071 100000\n22483 33743\n93067 100000\n54599 81883\n10972 16523\n27188 40751\n85386 100000\n81309 100000\n13281 19958\n92172 100000\n64681 97038\n79650 100000\n1083 1626\n50210 75306\n74951 100000\n66432 99646\n77236 100000\n73146 100000\n43326 64924\n43046 64497\n20469 30689\n26030 39034\n1666 2504\n80892 100000\n52865 79295\n54734 82081\n32635 48946\n30022 45010\n55394 83075\n22072 33126\n32280 48408\n42750 64055\n96724 100000\n7488 11286\n61154 91753\n1074 1611\n30472 45671\n64081 96141\n70495 100000\n38321 57430\n64884 97334\n44583 66820\n31481 47200\n2817 4232\n33892 50826\n84198 100000\n5423 8187\n83492 100000\n88603 100000\n86092 100000\n74902 100000\n22883 34334\n84662 100000\n43863 65720\n13190 19829\n80746 100000\n13128 19738\n11212 16884\n35490 53220\n17585 26385\n66043 99062\n25702 38541\n87051 100000\n18234 27322\n14330 21512\n6098 9208\n1939 2899\n3197 4802\n39675 59440\n81622 100000\n37576 56329\n70894 100000\n6674 10084\n94201 100000\n32715 49066\n33089 49640\n73913 100000\n4339 6527\n42288 63385\n36558 54830\n22827 34251\n66642 99968\n61627 92456\n3502 5264\n27501 41221\n75795 100000\n23928 35892\n43808 65638\n67436 100000\n10053 15148\n83994 100000\n23715 35577\n48875 73300\n32618 48921\n54856 82263\n63848 95795\n81792 100000\n99733 100000\n73367 100000\n84913 100000\n30462 45656\n41265 61841\n2911 4375\n89293 100000\n11881 17878\n14509 21776\n43008 64440\n19099 28642\n3228 4850\n3920 5889\n5945 8978\n32841 49253\n81675 100000\n24708 37041\n60590 90904\n35118 52662\n39764 59578\n71423 100000\n54614 81906\n81306 100000\n17532 26304\n31433 47128\n70544 100000\n84166 100000\n70696 100000\n50349 75510\n49108 73637\n18272 27383\n14473 21723\n29098 43621\n19442 29147\n16810 25211\n90264 100000\n100 152\n36583 54867\n55341 82991\n67417 100000\n53993 81002\n44907 67290\n67282 100000\n39100 58574\n87901 100000\n12989 19529\n86884 100000\n31371 47032\n30705 46025\n13359 20076\n17490 26242\n89392 100000\n28890 43314\n80367 100000\n38922 58317\n48990 73469\n35158 52728\n53825 80746\n25443 38142\n12721 19149\n16177 24274\n11041 16630\n12259 18457\n6628 10010\n26830 40216\n76028 100000\n99656 100000\n61981 92989\n88163 100000\n27956 41912\n15994 23996\n65510 98265\n45035 67479\n23150 34732\n54600 81885\n80017 100000\n47240 70840\n64284 96444\n6613 9988\n48061 72073\n70708 100000\n94200 100000\n65027 97550\n95040 100000\n43524 65212\n82920 100000\n19639 29446\n59319 88993\n81830 100000\n31884 47807\n7516 11326\n63760 95661\n55515 83259\n63046 94602\n15537 23319\n59246 88880\n43309 64902\n68496 100000\n47659 71478\n61814 92737\n19389 29067\n78988 100000\n27350 40992\n33746 50613\n72956 100000\n35703 53536\n40955 61381\n72129 100000\n6917 10441\n33173 49765\n29742 44599\n92111 100000\n70780 100000\n65900 98837\n63823 95756\n65671 98506\n36764 55134\n25013 37500\n8753 13171\n15661 23507\n234 344\n1629 2446\n52620 78938\n81705 100000\n37163 55717\n81851 100000\n52783 79171\n84657 100000\n42211 63269\n43186 64709\n37920 56830\n56980 85473\n98176 100000\n17961 26931\n58613 87924\n61593 92410\n51376 77087\n18523 27757\n88722 100000\n82340 100000\n62950 94457\n11270 16971\n44428 66578\n50015 75013\n80020 100000\n39231 58777\n62657 94003\n602 903\n48951 73412\n13943 20933\n47700 71541\n72106 100000\n48810 73201\n16565 24857\n78335 100000\n44965 67377\n98634 100000\n4322 6501\n68603 100000\n26465 39680\n1720 2582\n77912 100000\n22162 33265\n49981 74962\n31030 46518\n52887 79329\n49520 74272\n75189 100000\n88060 100000\n51430 77159\n76030 100000\n7661 11545\n57963 86955\n70394 100000\n27249 40842\n92129 100000\n27658 41462\n95218 100000\n98325 100000\n47944 71900\n46124 69142\n94459 100000\n75479 100000\n85200 100000\n52001 78009\n74862 100000\n17310 25971\n88455 100000\n25293 37916\n46805 70190\n55784 83659\n37212 55786\n31765 47624\n95552 100000\n549 826\n12187 18346\n95222 100000\n92064 100000\n22442 33691\n77339 100000\n17370 26059\n37506 56224\n18333 27474\n21044 31551\n11352 17091\n38973 58394\n12473 18773\n32309 48452\n41356 61975\n69753 100000\n34626 51940\n67111 100000\n64968 97461\n89950 100000\n34646 51968\n12392 18648\n24263 36382\n40917 61323\n61729 92615\n37978 56916\n98852 100000\n82682 100000\n62629 93962\n83688 100000\n49666 74498\n59149 88729\n74984 100000\n91367 100000\n80125 100000\n70671 100000\n70000 100000\n61270 91920\n3363 5053\n63320 95004\n11610 17479\n966 1450\n2751 4133\n51289 76956\n69065 100000\n20360 30527\n95244 100000\n80780 100000\n88239 100000\n11187 16845\n22166 33273\n56714 85066\n78406 100000\n17012 25518\n95378 100000\n2872 4314\n45055 67511\n3171 4766\n21145 31699\n26415 39614\n86026 100000\n61199 91820\n27823 41710\n2981 4479\n22580 33883\n68318 100000\n84748 100000\n25077 37601\n19565 29334\n79219 100000\n87622 100000\n28899 43328\n96287 100000\n91910 100000\n28195 42266\n77719 100000\n63955 95956\n43067 64532\n54880 82295\n38818 58157\n95681 100000\n60366 90566\n35004 52500\n24639 36937\n75951 100000\n44770 67090\n16046 24077\n76588 100000\n51501 77257\n9273 13949\n11575 17427\n85893 100000\n98089 100000\n90645 100000\n41154 61683\n20977 31447\n62895 94367\n79552 100000\n88077 100000\n55822 83717\n92007 100000\n40849 61218\n32829 49236\n8396 12638\n46150 69181\n61054 91599\n95658 100000\n35384 53069\n43232 64782\n65747 98617\n92596 100000\n88126 100000\n52039 78063\n48600 72891\n41563 62296\n11221 16897\n86444 100000\n34634 51951\n68914 100000\n82667 100000\n78668 100000\n52947 79416\n54931 82368\n23483 35232\n43234 64785\n81229 100000\n26082 39117\n20835 31233\n88770 100000\n22686 34037\n16225 24349\n81132 100000\n94440 100000\n31749 47602\n87129 100000\n27884 41804\n70987 100000\n90944 100000\n28419 42602\n89998 100000\n74087 100000\n50003 74997\n1484 2234\n26694 40024\n45832 68693\n81140 100000\n21067 31584\n88042 100000\n5574 8410\n22292 33462\n45853 68725\n85642 100000\n28840 43236\n18682 28006\n37081 55599\n39908 59797\n88306 100000\n43436 65083\n87956 100000\n58205 87323\n77042 100000\n49204 73784\n69990 100000\n14466 21714\n83991 100000\n24745 37097\n62546 93828\n76601 100000\n86382 100000\n22831 34257\n12780 19229\n76779 100000\n66304 99455\n15598 23413\n69786 100000\n23880 35814\n54791 82161\n45545 68252\n43635 65380\n80902 100000\n17009 25512\n38259 57336\n78362 100000\n90074 100000\n44375 66492\n40108 60104\n256 376\n92622 100000\n72107 100000\n14031 21058\n51049 76595\n34866 52294\n47671 71496\n10962 16510\n78617 100000\n50443 75655\n26738 40084\n85734 100000\n77663 100000\n54839 82235\n55747 83599\n16312 24486\n9532 14339\n31586 47353\n10120 15250\n35873 53796\n55973 83946\n43967 65878\n4778 7196\n13070 19653\n24541 36791\n61121 91702\n91223 100000\n57102 85658\n35231 52838\n83975 100000\n66320 99481\n53307 79963\n16731 25100\n55545 83303\n89353 100000\n51713 77582\n37854 56736\n32890 49328\n36021 54017\n98817 100000\n9873 14859\n23855 35777\n5581 8421\n11214 16886\n60087 90158\n32494 48735\n1389 2091\n68805 100000\n12251 18447\n8522 12833\n3599 5405\n843 1267\n5320 8030\n39816 59659\n22995 34505\n80572 100000\n82673 100000\n54090 81148\n86380 100000\n4749 7155\n30261 45352\n2110 3164\n80442 100000\n47026 70528\n94654 100000\n8255 12422\n76758 100000\n57261 85902\n72253 100000\n15275 22926\n65923 98873\n40 60\n29061 43568\n64459 96706\n63388 95106\n48238 72341\n14107 21173\n22613 33929\n77952 100000\n26457 39670\n726 1086\n80622 100000\n45421 68064\n64047 96093\n26288 39420\n47276 70895\n34079 51108\n99938 100000\n94182 100000\n32566 48845\n44735 67038\n33450 50175\n69539 100000\n15358 23054\n57460 86205\n26888 40303\n20157 30233\n96358 100000\n25083 37611\n10788 16247\n99263 100000\n76663 100000\n16994 25490\n38806 58138\n50840 76269\n78267 100000\n77933 100000\n90249 100000\n44526 66730\n78970 100000\n99895 100000\n96515 100000\n60574 90884\n74389 100000\n89 134\n94962 100000\n34366 51539\n62218 93340\n26893 40311\n75088 100000\n11374 17126\n16271 24417\n30684 45996\n25151 37711\n96570 100000\n87065 100000\n62182 93284\n45599 68334\n49652 74475\n47239 70838\n3644 5470\n69706 100000\n89891 100000\n4493 6760\n66979 100000\n620 929\n49759 74632\n41176 61712\n97672 100000\n75552 100000\n957 1436\n47319 70958\n41919 62833\n1495 2252\n82025 100000\n85587 100000\n2847 4278\n77191 100000\n63022 94566\n21608 32401\n89723 100000\n90559 100000\n54968 82421\n83327 100000\n64302 96474\n36629 54936\n28553 42803\n94376 100000\n29268 43882\n25051 37564\n25065 37585\n72639 100000\n35228 52834\n85518 100000\n80897 100000\n41247 61816\n64423 96653\n41864 62748\n5632 8495\n64601 96915\n20236 30350\n65243 97866\n61845 92783\n58255 87399\n85566 100000\n32183 48260\n99165 100000\n88389 100000\n91774 100000\n15438 23169\n97501 100000\n26995 40460\n8226 12381\n37130 55671\n65853 98767\n10879 16383\n34540 51808\n58817 88227\n17440 26162\n85817 100000\n89612 100000\n55836 83737\n738 1105\n32946 49416\n14999 22505\n14023 21044\n94202 100000\n42761 64069\n72024 100000\n7665 11553\n7934 11960\n4792 7218\n5682 8569\n15518 23290\n77360 100000\n56746 85114\n76434 100000\n65321 97976\n14493 21752\n16564 24855\n54961 82411\n58483 87729\n12260 18459\n70860 100000\n74604 100000\n92015 100000\n92653 100000\n44883 67256\n95129 100000\n89004 100000\n2076 3112\n15942 23915\n25753 38617\n8835 13292\n33633 50441\n49623 74435\n28879 43297\n33188 49785\n84274 100000\n89962 100000\n29160 43716\n41417 62071\n40073 60049\n71010 100000\n87060 100000\n31623 47411\n29127 43665\n32462 48684\n29672 44488\n6614 9989\n91693 100000\n70581 100000\n75028 100000\n95311 100000\n59575 89383\n10709 16131\n95749 100000\n56682 85020\n15893 23843\n59422 89147\n67633 100000\n63015 94555\n24672 36989\n46719 70055\n64956 97443\n88573 100000\n144 217\n409 603\n18768 28136\n1117 1681\n73552 100000\n85100 100000\n83734 100000\n35733 53585\n15696 23558\n21520 32268\n71765 100000\n81939 100000\n34785 52179\n88802 100000\n37779 56624\n56708 85056\n14284 21438\n29611 44394\n17881 26826\n43926 65819\n74411 100000\n37279 55896\n92188 100000\n62653 93998\n41087 61588\n23893 35834\n58879 88316\n46342 69487\n4802 7231\n27454 41148\n73647 100000\n43550 65255\n55317 82954\n59986 90003\n92101 100000\n95156 100000\n84887 100000\n20249 30367\n47812 71707\n15115 22679\n56841 85260\n28660 42963\n84264 100000\n48819 73214\n16607 24916\n43018 64453\n99466 100000\n81734 100000\n49871 74796\n38553 57776\n22219 33357\n76065 100000\n59551 89345\n28226 42316\n46302 69424\n41361 61984\n607 911\n25762 38628\n14639 21970\n55498 83235\n83373 100000\n63419 95156\n36566 54842\n31639 47435\n9217 13861\n28282 42399\n50273 75398\n55281 82901\n6195 9352\n89470 100000\n34591 51887\n21347 32004\n23245 34878\n22258 33413\n25934 38891\n7891 11894\n77691 100000\n2225 3336\n28709 43038\n56071 84088\n866 1301\n57259 85899\n51449 77185\n61136 91726\n85029 100000\n91483 100000\n88971 100000\n75546 100000\n69146 100000\n9323 14024\n42407 63563\n94383 100000\n25308 37939\n51384 77097\n48476 72694\n28710 43039\n38160 57183\n34642 51963\n39415 59047\n34045 51059\n13353 20067\n20602 30904\n45083 67556\n10436 15718\n87896 100000\n90674 100000\n20187 30280\n77762 100000\n58594 87896\n56017 84009\n26698 40030\n44437 66592\n28038 42048\n81248 100000\n5469 8252\n14383 21590\n7381 11123\n85941 100000\n86520 100000\n12926 19431\n46894 70324\n51203 76827\n8987 13521\n50008 75004\n48231 72329\n81097 100000\n41891 62792\n80889 100000\n85993 100000\n63628 95461\n632 946\n64422 96651\n34053 51069\n10286 15494\n31129 46663\n92933 100000\n42050 63029\n88214 100000\n83090 100000\n14747 22129\n4054 6084\n77274 100000\n26091 39133\n91062 100000\n89808 100000\n53639 80473\n44565 66793\n2175 3260\n17226 25841\n59414 89135\n50677 76011\n55977 83951\n52563 78849\n56311 84458\n16018 24033\n79840 100000\n90328 100000\n86703 100000\n60791 91191\n84572 100000\n78089 100000\n68305 100000\n52277 78425\n30860 46265\n77756 100000\n35798 53680\n7518 11329\n56312 84460\n89450 100000\n66503 99755\n56926 85389\n76654 100000\n49170 73734\n64493 96752\n23549 35327\n31758 47615\n14193 21299\n55223 82801\n59357 89054\n11178 16834\n87732 100000\n94955 100000\n95230 100000\n1650 2478\n80490 100000\n70193 100000\n95601 100000\n81029 100000\n35153 52720\n42262 63345\n47636 71446\n41419 62073\n80454 100000\n12297 18510\n78743 100000\n1201 1811\n58542 87819\n96798 100000\n47663 71484\n42332 63451\n3307 4973\n84348 100000\n25722 38571\n11794 17738\n74426 100000\n37201 55772\n79194 100000\n49036 73538\n47876 71802\n53795 80706\n57277 85929\n72567 100000\n23446 35174\n30042 45040\n39701 59480\n49725 74583\n12262 18461\n23860 35784\n78459 100000\n86916 100000\n63275 94941\n47287 70912\n59993 90016\n86070 100000\n67875 100000\n54770 82132\n97253 100000\n55290 82915\n42143 63172\n25420 38110\n79710 100000\n63044 94600\n64812 97223\n77346 100000\n96820 100000\n48064 72078\n27717 41551\n76170 100000\n32511 48762\n32383 48559\n6295 9510\n60588 90901\n68607 100000\n92905 100000\n47891 71823\n35936 53889\n80464 100000\n24627 36917\n15630 23461\n89051 100000\n78530 100000\n45094 67571\n53515 80276\n83333 100000\n92888 100000\n44488 66670\n5657 8531\n29771 44642\n37930 56843\n78780 100000\n90356 100000\n70293 100000\n31110 46636\n63290 94962\n88463 100000\n92293 100000\n48377 72544\n87340 100000\n51354 77054\n16440 24676\n80955 100000\n61446 92190\n34114 51159\n73221 100000\n95709 100000\n45464 68126\n95407 100000\n38654 57919\n93556 100000\n84355 100000\n8147 12266\n40745 61056\n42077 63068\n65991 98981\n17639 26460\n21766 32656\n99528 100000\n1179 1779\n55518 83263\n79505 100000\n49613 74420\n9813 14768\n17119 25684\n16161 24248\n68272 100000\n77151 100000\n68472 100000\n93626 100000\n92968 100000\n73545 100000\n25226 37818\n91793 100000\n25583 38352\n31584 47349\n58989 88486\n51576 77377\n33233 49848\n26940 40381\n51507 77267\n58585 87883\n23494 35250\n21965 32962\n21091 31619\n21196 31778\n91402 100000\n26716 40055\n48905 73347\n42499 63699\n55800 83683\n58515 87779\n9050 13619\n18356 27508\n55501 83239\n77881 100000\n98345 100000\n7704 11613\n44744 67052\n3063 4604\n17672 26512\n81246 100000\n20937 31386\n38893 58274\n44737 67040\n1110 1672\n73584 100000\n80996 100000\n2123 3185\n20919 31360\n7913 11928\n13427 20178\n75386 100000\n55000 82463\n75394 100000\n94144 100000\n79506 100000\n47915 71855\n63964 95971\n40716 61010\n22122 33203\n95677 100000\n37887 56781\n53703 80568\n58163 87259\n56905 85359\n56310 84457\n54353 81537\n85710 100000\n2819 4235\n21601 32389\n68349 100000\n32286 48418\n20468 30688\n64937 97414\n92276 100000\n16115 24181\n1815 2716\n44042 65990\n13874 20832\n67622 100000\n51797 77700\n32492 48731\n24308 36449\n51424 77149\n30444 45625\n67603 100000\n46622 69907\n2537 3813\n18100 27133\n71922 100000\n91695 100000\n66717 100000\n91256 100000\n49740 74606\n5199 7845\n15139 22718\n36103 54137\n37525 56250\n56796 85194\n57913 86880\n63791 95707\n68622 100000\n39057 58513\n78104 100000\n48767 73139\n38883 58257\n1573 2365\n27590 41362\n93758 100000\n53742 80626\n73642 100000\n39864 59737\n54567 81836\n75502 100000\n21090 31617\n46365 69523\n17913 26866\n33971 50942\n16012 24024\n98052 100000\n85586 100000\n24367 36533\n98069 100000\n33280 49917\n48654 72974\n84690 100000\n347 507\n14069 21115\n90300 100000\n77516 100000\n18995 28481\n52068 78106\n33037 49557\n66379 99571\n32822 49226\n72724 100000\n22433 33674\n29647 44448\n23819 35724\n91365 100000\n42749 64053\n56952 85429\n9685 14565\n69904 100000\n50574 75853\n24221 36320\n12127 18254\n48801 73188\n54157 81242\n7189 10836\n27029 40512\n29562 44324\n1983 2969\n97992 100000\n35459 53174\n85606 100000\n24809 37195\n78805 100000\n45996 68948\n19863 29784\n3133 4711\n3368 5061\n69172 100000\n97831 100000\n50989 76506\n87788 100000\n51830 77750\n37198 55768\n19005 28496\n52599 78905\n30982 46446\n5422 8185\n14137 21217\n41238 61802\n94997 100000\n55147 82696\n29007 43488\n90202 100000\n80127 100000\n57099 85654\n30 44\n65954 98921\n44956 67363\n50328 75480\n42274 63364\n7210 10868\n72852 100000\n40139 60153\n62654 94000\n79636 100000\n21972 32971\n70834 100000\n63001 94534\n91607 100000\n92886 100000\n90635 100000\n7779 11725\n96298 100000\n54729 82073\n59666 89521\n93355 100000\n15683 23537\n27742 41586\n96396 100000\n21183 31759\n21036 31535\n92575 100000\n42335 63456\n15813 23723\n90312 100000\n5660 8536\n48852 73263\n1476 2222\n331 483\n36214 54299\n13564 20369\n75140 100000\n61695 92559\n35198 52789\n42643 63909\n36435 54640\n59004 88509\n25967 38940\n95119 100000\n32075 48101\n76263 100000\n73703 100000\n43427 65071\n93315 100000\n88145 100000\n12693 19103\n81552 100000\n99584 100000\n93799 100000\n45847 68717\n34928 52386\n94428 100000\n36594 54883\n27129 40665\n362 531\n98654 100000\n88140 100000\n94542 100000\n92303 100000\n27673 41483\n87844 100000\n56668 85002\n956 1435\n62582 93887\n96136 100000\n34439 51646\n51093 76659\n61195 91813\n26155 39229\n12168 18317\n40565 60782\n79843 100000\n73017 100000\n39945 59858\n58353 87545\n78184 100000\n84465 100000\n97220 100000\n51091 76656\n36400 54587\n96600 100000\n96193 100000\n66227 99334\n51434 77164\n45319 67909\n54095 81154\n41931 62850\n21108 31644\n23984 35975\n64411 96634\n84714 100000\n94169 100000\n82308 100000\n16767 25149\n72814 100000\n54125 81197\n33739 50600\n83134 100000\n37393 56062\n23661 35499\n8273 12445\n27485 41196\n14711 22075\n60207 90338\n88551 100000\n2554 3839\n80055 100000\n16255 24392\n84255 100000\n73196 100000\n90278 100000\n62086 93144\n99597 100000\n5057 7628\n16713 25075\n42498 63697\n65413 98121\n9063 13637\n16805 25204\n9240 13899\n87755 100000\n53870 80817\n82320 100000\n73023 100000\n96995 100000\n14515 21786\n55270 82883\n87596 100000\n3156 4745\n6604 9977\n6042 9128\n95436 100000\n91139 100000\n60275 90436\n58470 87711\n13084 19674\n34154 51218\n72576 100000\n40235 60293\n31928 47867\n91573 100000\n40487 60664\n41535 62253\n22130 33216\n65371 98056\n52488 78732\n52079 78125\n94142 100000\n35115 52657\n44170 66186\n54351 81535\n36169 54238\n26762 40119\n40121 60123\n15068 22608\n84734 100000\n81014 100000\n22939 34420\n17352 26035\n23424 35138\n46714 70048\n77087 100000\n92442 100000\n26157 39232\n90440 100000\n15110 22671\n56637 84955\n22705 34065\n52524 78787\n11558 17400\n61852 92795\n57638 86471\n57476 86229\n71758 100000\n78326 100000\n93066 100000\n57125 85698\n62695 94058\n45107 67590\n70811 100000\n16872 25302\n62725 94102\n40020 59971\n48058 72067\n93409 100000\n54448 81664\n46429 69617\n25650 38458\n27733 41572\n84369 100000\n93994 100000\n29996 44975\n97754 100000\n42405 63560\n48909 73354\n35253 52872\n16408 24628\n83415 100000\n73132 100000\n66173 99257\n20432 30633\n6678 10090\n90370 100000\n38492 57684\n99713 100000\n55796 83677\n92731 100000\n89289 100000\n82448 100000\n19048 28563\n14219 21336\n37908 56815\n66241 99353\n75424 100000\n74242 100000\n35690 53519\n45287 67862\n19267 28890\n31480 47198\n5083 7664\n52163 78256\n62605 93925\n6485 9795\n29178 43747\n24841 37241\n919 1378\n48189 72265\n91422 100000\n47286 70910\n1517 2285\n98774 100000\n63127 94731\n88984 100000\n63603 95423\n57697 86561\n13089 19681\n16606 24915\n96792 100000\n75596 100000\n86400 100000\n75138 100000\n92153 100000\n20125 30184\n70922 100000\n48821 73216\n7797 11755\n84292 100000\n95706 100000\n20693 31028\n37248 55845\n48967 73435\n75839 100000\n39510 59189\n2703 4062\n93836 100000\n34542 51810\n60036 90077\n8585 12931\n86842 100000\n81510 100000\n61959 92954\n69994 100000\n61416 92146\n44547 66767\n83956 100000\n98680 100000\n43813 65644\n43878 65746\n95784 100000\n43568 65278\n43 66\n7597 11449\n31145 46687\n29246 43845\n75690 100000\n5418 8177\n67558 100000\n26975 40431\n59532 89316\n59683 89547\n18084 27110\n96625 100000\n7514 11324\n50915 76388\n50608 75903\n40173 60201\n17757 26636\n5281 7970\n93762 100000\n24026 36032\n18778 28153\n73968 100000\n80716 100000\n74546 100000\n84467 100000\n54465 81690\n85800 100000\n195 289\n46390 69561\n44730 67029\n55118 82650\n39192 58717\n69489 100000\n68553 100000\n9261 13931\n53568 80363\n86794 100000\n68125 100000\n10964 16512\n39499 59170\n92081 100000\n69401 100000\n10114 15241\n72153 100000\n9608 14452\n85570 100000\n19593 29379\n77803 100000\n85604 100000\n67889 100000\n28468 42676\n42043 63019\n4667 7027\n58982 88475\n63939 95932\n87812 100000\n20038 30052\n24925 37367\n60025 90062\n50430 75637\n21326 31972\n33134 49708\n66861 100000\n13088 19680\n21834 32759\n76559 100000\n77699 100000\n53835 80763\n98159 100000\n95190 100000\n22276 33442\n45289 67866\n48773 73147\n71509 100000\n2412 3621\n25532 38274\n61929 92911\n7607 11465\n6172 9320\n86986 100000\n92361 100000\n14648 21986\n37610 56373\n20810 31195\n28737 43077\n67170 100000\n94236 100000\n67262 100000\n37391 56060\n79000 100000\n72513 100000\n14202 21314\n66423 99633\n14596 21907\n93768 100000\n81265 100000\n77264 100000\n42772 64086\n33651 50471\n70197 100000\n7689 11588\n37125 55663\n36069 54085\n21222 31816\n54878 82292\n32637 48948\n41490 62185\n19817 29714\n37364 56018\n46674 69982\n56158 84222\n85036 100000\n60397 90612\n3985 5984\n53385 80071\n60918 91392\n63884 95848\n88019 100000\n31890 47817\n34152 51216\n66400 99602\n95454 100000\n2472 3710\n88297 100000\n27174 40731\n78652 100000\n34896 52338\n18277 27389\n41446 62115\n16718 25083\n37087 55606\n5740 8654\n69188 100000\n82221 100000\n2952 4442\n83204 100000\n12847 19324\n70745 100000\n40764 61087\n13873 20830\n8004 12058\n79689 100000\n43958 65866\n42277 63370\n69319 100000\n95887 100000\n41311 61907\n53732 80612\n55609 83397\n92079 100000\n75960 100000\n96817 100000\n66076 99114\n39767 59583\n54575 81848\n18235 27324\n21789 32693\n61146 91742\n5008 7551\n41017 61481\n2128 3192\n63482 95249\n91929 100000\n83042 100000\n44241 66290\n82681 100000\n32683 49018\n5527 8336\n52104 78162\n44365 66477\n56650 84976\n22720 34088\n41246 61815\n24945 37395\n34414 51614\n19788 29671\n23054 34591\n47559 71328\n71404 100000\n23257 34895\n77982 100000\n12710 19131\n94349 100000\n68947 100000\n70027 100000\n3162 4753\n61997 93011\n65896 98832\n1468 2209\n66597 99897\n59125 88693\n26176 39259\n53384 80070\n98668 100000\n67934 100000\n79543 100000\n64860 97296\n93519 100000\n41096 61599\n1969 2947\n6563 9914\n16140 24214\n45939 68859\n65344 98016\n93224 100000\n97857 100000\n80868 100000\n99620 100000\n68952 100000\n22776 34172\n73801 100000\n56150 84210\n29884 44802\n86264 100000\n4411 6639\n79479 100000\n34181 51257\n33690 50529\n35784 53660\n34249 51360\n35125 52672\n69300 100000\n30435 45607\n81556 100000\n24100 36142\n77653 100000\n31566 47323\n1858 2780\n1728 2594\n55297 82928\n19151 28717\n36646 54960\n23373 35070\n90535 100000\n25948 38913\n62319 93489\n37109 55640\n75297 100000\n55971 83943\n55503 83242\n8849 13313\n92603 100000\n93389 100000\n45390 68018\n4620 6950\n43651 65406\n5151 7770\n59445 89181\n6442 9729\n78799 100000\n21786 32687\n27365 41013\n35910 53846\n34193 51277\n37838 56711\n80475 100000\n47450 71157\n72506 100000\n78432 100000\n79696 100000\n78471 100000\n49516 74265\n43115 64605\n86030 100000\n74256 100000\n49515 74263\n97759 100000\n18209 27286\n78997 100000\n51894 77842\n98316 100000\n30849 46247\n58960 88444\n31836 47735\n73707 100000\n53711 80579\n31389 47058\n62704 94070\n77352 100000\n57455 86198\n93062 100000\n19611 29408\n43985 65907\n68199 100000\n64 96\n19683 29513\n57296 85960\n39523 59211\n12905 19402\n26395 39581\n70122 100000\n80856 100000\n25250 37854\n21024 31516\n3463 5210\n13408 20149\n16229 24354\n71316 100000\n94381 100000\n89641 100000\n30360 45494\n55917 83862\n97167 100000\n70082 100000\n61724 92607\n98710 100000\n16870 25299\n4744 7146\n88135 100000\n55026 82507\n24837 37236\n98676 100000\n93257 100000\n79868 100000\n80297 100000\n65105 97664\n83169 100000\n5161 7787\n39772 59591\n64781 97178\n86265 100000\n38543 57761\n61513 92292\n62873 94331\n5255 7928\n71100 100000\n54309 81471\n1744 2618\n2639 3966\n2581 3881\n33276 49910\n27371 41022\n54996 82459\n55485 83214\n44920 67307\n99531 100000\n72849 100000\n55777 83647\n58680 88026\n43195 64724\n67074 100000\n10961 16509\n66576 99867\n47681 71511\n50212 75309\n25888 38819\n22898 34359\n24187 36273\n48169 72236\n57128 85704\n88436 100000\n13740 20630\n92798 100000\n27753 41602\n55633 83433\n34724 52087\n99796 100000\n93936 100000\n71795 100000\n40967 61402\n38546 57766\n43258 64821\n78102 100000\n46326 69459\n10269 15469\n18668 27983\n26027 39031\n54983 82438\n45400 68035\n6543 9885\n83862 100000\n17790 26687\n73714 100000\n2238 3357\n98594 100000\n5857 8833\n1792 2685\n33499 50247\n58637 87962\n445 660\n71768 100000\n33049 49577\n38709 57997\n92152 100000\n28118 42155\n47799 71687\n30750 46097\n78329 100000\n60741 91122\n11296 17010\n58812 88220\n12129 18256\n90450 100000\n14469 21718\n97894 100000\n12939 19449\n56222 84323\n73466 100000\n57868 86810\n83125 100000\n49241 73842\n55981 83956\n72220 100000\n63906 95883\n16099 24155\n51086 76648\n38455 57631\n29363 44021\n33552 50321\n74233 100000\n15047 22575\n65791 98679\n43163 64672\n22574 33876\n20475 30699\n78782 100000\n98956 100000\n54265 81405\n30090 45107\n18146 27198\n63266 94927\n33914 50855\n22543 33828\n86097 100000\n95285 100000\n89147 100000\n68615 100000\n91890 100000\n72068 100000\n43943 65842\n1252 1885\n72028 100000\n32812 49211\n75780 100000\n92941 100000\n22542 33826\n73833 100000\n96696 100000\n29870 44780\n83553 100000\n43356 64966\n8525 12838\n74846 100000\n54755 82112\n81905 100000\n82861 100000\n94364 100000\n74786 100000\n70969 100000\n7131 10753\n56067 84082\n68567 100000\n32005 47992\n36787 55172\n56776 85162\n50466 75690\n73009 100000\n61169 91775\n59963 89969\n58484 87731\n34150 51213\n80366 100000\n48295 72423\n85906 100000\n38113 57113\n99637 100000\n43921 65812\n91911 100000\n65011 97525\n2687 4040\n58875 88311\n23723 35590\n80670 100000\n82487 100000\n24519 36759\n83491 100000\n37597 56357\n77640 100000\n45547 68255\n11930 17950\n5771 8703\n68671 100000\n52545 78823\n18833 28231\n28727 43064\n19112 28661\n94246 100000\n30008 44989\n73816 100000\n99780 100000\n85013 100000\n29317 43954\n34411 51609\n42129 63149\n31286 46900\n16818 25223\n12735 19168\n90994 100000\n76694 100000\n48666 72988\n82668 100000\n990 1488\n80687 100000\n60753 91140\n97723 100000\n30172 45222\n12437 18715\n50456 75675\n15270 22919\n2464 3698\n33516 50270\n44402 66536\n15841 23763\n77597 100000\n76977 100000\n46405 69583\n66738 100000\n57499 86260\n77207 100000\n65279 97917\n32113 48156\n73097 100000\n72189 100000\n10416 15689\n2474 3713\n96976 100000\n68586 100000\n79116 100000\n93830 100000\n85822 100000\n20045 30064\n21368 32038\n20431 30631\n2063 3092\n17339 26017\n51588 77393\n32367 48535\n36215 54300\n14512 21781\n63170 94797\n87081 100000\n58966 88453\n40740 61048\n65876 98800\n53721 80592\n65992 98982\n22877 34324\n38650 57914\n38085 57071\n25524 38262\n60754 91141\n9408 14153\n98306 100000\n43423 65065\n68186 100000\n85267 100000\n75820 100000\n76008 100000\n5902 8911\n51290 76957\n95237 100000\n93547 100000\n39539 59234\n55326 82968\n20213 30318\n70459 100000\n25139 37694\n6228 9404\n39900 59788\n8989 13524\n48389 72563\n21986 32993\n5903 8912\n52648 78974\n86789 100000\n40317 60414\n85529 100000\n16055 24092\n36883 55312\n84398 100000\n28395 42566\n30971 46431\n31189 46753\n61980 92988\n99638 100000\n79464 100000\n61698 92563\n49067 73582\n17974 26949\n7386 11132\n67308 100000\n64766 97160\n33245 49865\n12037 18117\n40354 60473\n34014 51009\n70679 100000\n99370 100000\n29552 44312\n55363 83025\n68446 100000\n58559 87845\n94148 100000\n17869 26809\n97214 100000\n4236 6367\n89411 100000\n650 972\n29471 44188\n11482 17286\n5754 8675\n14554 21845\n63101 94688\n34635 51953\n94724 100000\n28114 42148\n85701 100000\n26014 39013\n31013 46493\n21828 32752\n96831 100000\n53408 80109\n48573 72848\n82593 100000\n14655 21996\n41025 61492\n66570 99857\n80582 100000\n4915 7409\n88590 100000\n6860 10359\n6431 9713\n52963 79439\n14740 22118\n49499 74239\n22648 33980\n71516 100000\n67983 100000\n8636 13004\n79257 100000\n71354 100000\n93947 100000\n32425 48626\n32378 48553\n95078 100000\n82938 100000\n79722 100000\n24608 36889\n68554 100000\n86548 100000\n87744 100000\n15344 23033\n25638 38442\n53347 80014\n34397 51587\n46756 70114\n43823 65661\n89829 100000\n21217 31810\n61150 91747\n21971 32969\n9418 14168\n98310 100000\n75753 100000\n13553 20355\n34924 52380\n17251 25880\n35157 52727\n49952 74918\n21055 31569\n91789 100000\n57790 86695\n83842 100000\n25571 38335\n5583 8423\n52094 78147\n21531 32283\n53552 80337\n26512 39746\n95091 100000\n16958 25435\n62779 94185\n37958 56886\n57415 86136\n787 1182\n44351 66455\n64583 96886\n85589 100000\n15496 23252\n87664 100000\n47951 71910\n7958 11994\n44451 66615\n21606 32397\n46890 70317\n49479 74207\n19545 29306\n59848 89798\n80217 100000\n12840 19316\n63809 95738\n78750 100000\n18526 27762\n20168 30249\n41215 61769\n31206 46779\n88939 100000\n92866 100000\n59954 89956\n66755 100000\n64275 96429\n18106 27141\n33116 49682\n94797 100000\n23019 34540\n49798 74687\n75525 100000\n87220 100000\n57525 86305\n25458 38166\n62059 93102\n56038 84040\n58226 87354\n51519 77286\n86580 100000\n37752 56582\n19165 28739\n57762 86656\n68551 100000\n98418 100000\n34575 51863\n70919 100000\n46940 70393\n66475 99714\n57350 86041\n37812 56671\n78567 100000\n75927 100000\n26775 40139\n31261 46863\n54506 81753\n40705 60994\n8600 12953\n34804 52207\n12281 18489\n41808 62661\n60889 91350\n99845 100000\n19816 29713\n81733 100000\n2841 4269\n44613 66861\n61272 91923\n79815 100000\n14612 21931\n6185 9339\n20322 30470\n69725 100000\n46703 70029\n97955 100000\n17436 26155\n92927 100000\n91550 100000\n93238 100000\n17665 26501\n19716 29567\n73407 100000\n33302 49948\n48700 73042\n67264 100000\n64312 96487\n23224 34846\n21461 32180\n85122 100000\n15593 23406\n4770 7186\n26767 40126\n70819 100000\n17938 26901\n30293 45399\n74916 100000\n81987 100000\n76821 100000\n91408 100000\n56769 85152\n48293 72420\n58315 87489\n84641 100000\n59634 89474\n39914 59808\n33038 49559\n8242 12403\n59675 89536\n38184 57221\n43143 64643\n43329 64928\n96618 100000\n54134 81209\n87075 100000\n69014 100000\n67500 100000\n3335 5014\n49050 73560\n72067 100000\n5483 8271\n86248 100000\n14040 21071\n65579 98370\n76844 100000\n84577 100000\n94263 100000\n70148 100000\n6293 9506\n23229 34855\n99489 100000\n40467 60637\n29620 44409\n63062 94628\n30217 45288\n87721 100000\n30852 46252\n65662 98492\n21187 31766\n40115 60115\n16655 24989\n43835 65681\n56959 85439\n83917 100000\n39023 58465\n38766 58078\n63568 95372\n25834 38743\n51468 77212\n81574 100000\n79967 100000\n42167 63205\n64630 96960\n49840 74746\n22602 33914\n80176 100000\n29804 44687\n17234 25852\n74092 100000\n94470 100000\n50478 75708\n1903 2850\n82698 100000\n58183 87288\n14393 21607\n72050 100000\n42414 63575\n17059 25594\n77135 100000\n44436 66591\n68891 100000\n84578 100000\n66585 99881\n86089 100000\n51907 77863\n11091 16703\n6187 9343\n50691 76034\n59056 88590\n73088 100000\n10475 15772\n85561 100000\n99222 100000\n61196 91814\n65149 97732\n20300 30444\n25539 38286\n42386 63533\n74239 100000\n92642 100000\n62887 94353\n82869 100000\n3142 4726\n64749 97135\n15194 22803\n9876 14864\n9998 15063\n13199 19840\n67501 100000\n88979 100000\n96402 100000\n80979 100000\n59523 89303\n53261 79896\n82559 100000\n27916 41850\n55909 83849\n43346 64951\n37666 56456\n94609 100000\n7036 10611\n36081 54103\n29853 44757\n58445 87679\n97198 100000\n70108 100000\n72787 100000\n75190 100000\n8428 12688\n7336 11057\n69343 100000\n248 363\n22756 34143\n51184 76796\n87568 100000\n93820 100000\n26006 39000\n13589 20403\n61932 92915\n8408 12658\n76974 100000\n79907 100000\n18544 27791\n51580 77382\n88101 100000\n79173 100000\n2261 3395\n96530 100000\n24381 36556\n65367 98050\n15158 22745\n66407 99612\n88325 100000\n76562 100000\n71796 100000\n59841 89786\n53027 79539\n87417 100000\n90625 100000\n45072 67539\n77905 100000\n35986 53965\n3584 5383\n72301 100000\n77227 100000\n59208 88819\n35167 52741\n25807 38698\n11005 16576\n80412 100000\n89844 100000\n92333 100000\n28379 42540\n35496 53232\n19203 28799\n20858 31266\n51898 77848\n97395 100000\n74524 100000\n53717 80587\n96713 100000\n61497 92267\n11679 17574\n49772 74655\n88191 100000\n84132 100000\n23878 35812\n60521 90803\n85017 100000\n47828 71732\n30179 45231\n78536 100000\n84658 100000\n14354 21547\n3405 5118\n82140 100000\n48640 72953\n30183 45237\n4157 6244\n8896 13384\n95540 100000\n42244 63317\n70160 100000\n58312 87486\n89072 100000\n35197 52788\n99676 100000\n68667 100000\n54206 81314\n75347 100000\n19847 29757\n68672 100000\n49899 74837\n43139 64636\n40451 60615\n76418 100000\n53299 79952\n11585 17444\n12101 18212\n69058 100000\n22725 34096\n81498 100000\n31686 47505\n29529 44277\n10325 15553\n65003 97514\n63379 95092\n97926 100000\n81253 100000\n90218 100000\n50916 76389\n74979 100000\n17459 26194\n81083 100000\n28517 42753\n62949 94456\n50668 75995\n13886 20852\n36455 54671\n61786 92694\n54486 81721\n61310 91983\n39580 59296\n40427 60580\n87102 100000\n86326 100000\n80258 100000\n45531 68229\n31216 46795\n37398 56068\n49568 74348\n97498 100000\n49898 74836\n78605 100000\n8602 12955\n80814 100000\n24789 37164\n85360 100000\n98985 100000\n77791 100000\n97731 100000\n79590 100000\n37055 55560\n42426 63593\n93148 100000\n78379 100000\n25666 38482\n62753 94146\n92830 100000\n89399 100000\n60703 91072\n87296 100000\n69533 100000\n4765 7179\n5386 8130\n43458 65117\n32236 48338\n42665 63940\n49409 74100\n88417 100000\n88433 100000\n50841 76270\n56012 84001\n96422 100000\n56888 85334\n6354 9603\n25137 37691\n61075 91631\n18645 27947\n52521 78782\n28265 42375\n14041 21073\n84483 100000\n41788 62634\n12979 19513\n66587 99883\n92844 100000\n21057 31571\n96153 100000\n51860 77792\n76594 100000\n33159 49744\n53007 79508\n96326 100000\n76178 100000\n38367 57496\n18200 27274\n68137 100000\n84087 100000\n76928 100000\n49573 74357\n22010 33033\n57584 86388\n93560 100000\n6989 10546\n46794 70174\n26170 39248\n12959 19482\n30740 46080\n57137 85717\n96044 100000\n3115 4681\n32887 49324\n64074 96129\n23379 35077\n55343 82994\n80023 100000\n59681 89545\n91076 100000\n80505 100000\n49619 74429\n67140 100000\n81698 100000\n9254 13920\n22169 33276\n29679 44500\n11608 17476\n5644 8512\n14125 21199\n52820 79227\n80711 100000\n42193 63244\n87538 100000\n4805 7235\n40601 60837\n82367 100000\n98690 100000\n18551 27800\n35217 52816\n97059 100000\n30917 46352\n65339 98008\n98905 100000\n82429 100000\n72863 100000\n38876 58247\n75192 100000\n15443 23176\n3220 4838\n24277 36403\n85967 100000\n3978 5972\n28333 42474\n85849 100000\n90457 100000\n15648 23487\n66333 99500\n52591 78892\n7206 10864\n87683 100000\n53394 80086\n93658 100000\n21192 31772\n62632 93967\n83904 100000\n74499 100000\n49837 74742\n96134 100000\n75216 100000\n42269 63357\n55630 83428\n57103 85660\n13922 20904\n63274 94940\n83741 100000\n85126 100000\n45647 68415\n36504 54748\n64403 96622\n58795 88196\n11681 17576\n12537 18867\n80368 100000\n67482 100000\n8488 12782\n68374 100000\n24153 36222\n47283 70905\n53933 80910\n85072 100000\n48840 73244\n95039 100000\n69625 100000\n6371 9629\n34644 51965\n96752 100000\n2388 3585\n67791 100000\n72099 100000\n15626 23454\n79300 100000\n40555 60770\n66986 100000\n715 1065\n20789 31168\n85539 100000\n90050 100000\n84811 100000\n32310 48453\n44846 67201\n4222 6344\n58789 88188\n33669 50499\n46753 70109\n99834 100000\n61284 91942\n69589 100000\n7012 10575\n44851 67210\n41960 62895\n42190 63239\n77408 100000\n29339 43988\n12862 19342\n42209 63265\n5577 8415\n7562 11399\n24373 36542\n93818 100000\n50391 75578\n76280 100000\n27455 41150\n34527 51788\n4088 6136\n80789 100000\n47809 71704\n15534 23314\n68373 100000\n23496 35252\n54511 81760\n80153 100000\n75132 100000\n43956 65863\n39454 59103\n90715 100000\n13560 20364\n13149 19768\n83596 100000\n92398 100000\n33076 49619\n37243 55836\n11135 16767\n55347 83001\n76312 100000\n38017 56974\n28548 42797\n99740 100000\n74139 100000\n31908 47839\n37303 55933\n33114 49678\n25436 38133\n81604 100000\n63907 95885\n64826 97243\n72037 100000\n10092 15206\n48780 73158\n89184 100000\n98748 100000\n12623 18996\n377 553\n31196 46763\n62947 94452\n21744 32617\n68236 100000\n62471 93719\n15812 23722\n55160 82716\n16100 24157\n18023 27024\n68798 100000\n3947 5924\n78143 100000\n15714 23585\n46256 69351\n67166 100000\n88289 100000\n8153 12276\n40696 60980\n32819 49222\n74907 100000\n19273 28900\n54966 82419\n28496 42722\n63258 94914\n37308 55940\n41040 61518\n9828 14791\n90301 100000\n64545 96834\n97674 100000\n3344 5025\n62419 93643\n34282 51407\n8161 12289\n21005 31486\n32145 48201\n22251 33403\n72959 100000\n99957 100000\n85990 100000\n7620 11484\n29004 43483\n12873 19359\n52052 78084\n55261 82868\n98190 100000\n87180 100000\n71542 100000\n53190 79794\n20838 31237\n37681 56479\n74989 100000\n79461 100000\n84279 100000\n5778 8714\n34244 51352\n35826 53724\n72281 100000\n14013 21033\n4529 6809\n556 837\n6498 9814\n72933 100000\n82111 100000\n59276 88928\n55586 83363\n70274 100000\n85991 100000\n88105 100000\n28307 42436\n87418 100000\n41936 62857\n67614 100000\n23184 34783\n88493 100000\n68337 100000\n31442 47143\n74861 100000\n42252 63330\n55642 83447\n71117 100000\n7118 10732\n48205 72290\n59126 88695\n79145 100000\n41898 62803\n56147 84206\n19651 29463\n19546 29307\n14940 22414\n99135 100000\n14230 21351\n39456 59105\n41951 62880\n47222 70810\n37993 56941\n21605 32396\n4475 6735\n56283 84411\n20246 30364\n23460 35192\n39690 59463\n89661 100000\n19105 28649\n79564 100000\n66626 99941\n33991 50977\n10488 15793\n81241 100000\n96207 100000\n62805 94224\n82766 100000\n91518 100000\n6885 10396\n57410 86130\n40757 61075\n69203 100000\n95949 100000\n63668 95520\n77471 100000\n17497 26251\n2954 4444\n36616 54916\n78672 100000\n92655 100000\n44763 67080\n66441 99660\n25839 38749\n66178 99266\n84145 100000\n45490 68162\n21839 32766\n30043 45041\n90938 100000\n31002 46475\n76782 100000\n51205 76830\n46341 69486\n54033 81061\n95315 100000\n76327 100000\n18977 28454\n43901 65780\n46220 69290\n11384 17141\n55409 83098\n56502 84740\n57016 85529\n36010 54001\n2291 3439\n45039 67486\n31305 46933\n85826 100000\n62837 94280\n6768 10221\n10728 16160\n8391 12630\n67726 100000\n90308 100000\n50085 75115\n7038 10615\n86474 100000\n4159 6247\n28724 43060\n41262 61837\n96076 100000\n35724 53568\n31818 47709\n46809 70196\n45625 68382\n89129 100000\n63277 94943\n77799 100000\n16347 24539\n7619 11483\n13115 19722\n43324 64922\n67645 100000\n22962 34458\n21211 31803\n8213 12362\n3214 4828\n14254 21385\n41367 61992\n78635 100000\n82946 100000\n64199 96315\n78230 100000\n53442 80166\n77129 100000\n15263 22909\n73835 100000\n41081 61579\n13172 19801\n88715 100000\n78627 100000\n13246 19909\n61453 92202\n39116 58596\n99097 100000\n37175 55734\n29737 44590\n68239 100000\n69148 100000\n58384 87586\n82470 100000\n65302 97951\n41838 62706\n15701 23565\n67600 100000\n75893 100000\n55461 83179\n79798 100000\n59008 88514\n93305 100000\n38555 57780\n13334 20038\n22283 33453\n74497 100000\n41425 62084\n63501 95274\n12162 18310\n88305 100000\n94958 100000\n24880 37302\n45095 67573\n77876 100000\n48649 72966\n53306 79961\n50024 75026\n47531 71282\n55153 82706\n14520 21792\n61033 91566\n50092 75125\n32670 49000\n80809 100000\n22730 34101\n3542 5316\n47814 71710\n5520 8327\n44633 66890\n84833 100000\n97937 100000\n28126 42164\n75941 100000\n90037 100000\n37543 56278\n56972 85461\n36101 54134\n34148 51209\n55675 83495\n37641 56419\n68240 100000\n25384 38054\n22142 33232\n28891 43316\n2955 4445\n77914 100000\n28868 43282\n3870 5807\n14459 21705\n90102 100000\n53801 80715\n35867 53788\n86347 100000\n61318 91996\n56308 84454\n29862 44768\n5568 8400\n19830 29733\n86873 100000\n22548 33837\n34751 52126\n76261 100000\n88067 100000\n37235 55824\n15356 23050\n38222 57277\n64759 97151\n94343 100000\n7383 11127\n49609 74412\n36999 55479\n38035 57000\n45872 68752\n44670 66946\n11164 16813\n36177 54250\n87722 100000\n24463 36678\n83941 100000\n82409 100000\n77720 100000\n91369 100000\n96965 100000\n85184 100000\n45134 67634\n75319 100000\n13278 19955\n7684 11581\n70825 100000\n32485 48720\n80056 100000\n22742 34120\n81431 100000\n31340 46983\n68299 100000\n39649 59398\n86453 100000\n36747 55109\n65761 98636\n99852 100000\n29185 43757\n31391 47060\n8382 12615\n17405 26112\n22112 33187\n92154 100000\n95288 100000\n6332 9568\n94378 100000\n30198 45259\n2358 3547\n83438 100000\n93692 100000\n16260 24399\n32920 49372\n62290 93444\n489 731\n10178 15335\n97187 100000\n86918 100000\n60280 90442\n87913 100000\n3314 4983\n22854 34293\n43875 65740\n90547 100000\n3974 5966\n13937 20924\n29502 44236\n66352 99528\n32672 49002\n73573 100000\n92879 100000\n11682 17578\n99265 100000\n43465 65128\n74347 100000\n29826 44718\n56260 84374\n6242 9429\n14054 21093\n29889 44810\n9543 14355\n30401 45553\n65442 98163\n81621 100000\n59088 88635\n34122 51169\n26112 39164\n37421 56101\n79008 100000\n76612 100000\n99463 100000\n89889 100000\n87886 100000\n36485 54717\n47258 70869\n93212 100000\n67499 100000\n9613 14460\n90082 100000\n26206 39301\n25427 38119\n16397 24612\n2306 3465\n50749 76131\n121 182\n39232 58779\n46994 70477\n48670 72996\n10659 16052\n60745 91128\n23584 35382\n60953 91450\n89375 100000\n18678 27999\n55209 82780\n99194 100000\n90409 100000\n43750 65552\n62159 93254\n83661 100000\n790 1185\n43628 65368\n69667 100000\n99550 100000\n95743 100000\n91638 100000\n2724 4094\n77345 100000\n54897 82318\n91566 100000\n45937 68856\n14734 22106\n46746 70099\n83033 100000\n65560 98338\n32385 48563\n6992 10550\n73286 100000\n32206 48294\n12689 19096\n30262 45353\n45192 67723\n29584 44354\n99443 100000\n93139 100000\n84955 100000\n21012 31499\n77983 100000\n97791 100000\n31718 47559\n8008 12063\n41285 61870\n60570 90877\n75678 100000\n26368 39541\n42456 63640\n65474 98212\n32996 49495\n55455 83168\n1318 1982\n93250 100000\n373 546\n82792 100000\n64152 96246\n25389 38062\n8441 12710\n5542 8360\n55636 83438\n23728 35598\n92230 100000\n68170 100000\n94085 100000\n30996 46467\n91420 100000\n28140 42187\n43831 65675\n82235 100000\n31537 47279\n36996 55475\n31707 47539\n159 240\n97439 100000\n30988 46455\n96734 100000\n81606 100000\n78186 100000\n11777 17714\n56940 85412\n15057 22590\n11142 16777\n95219 100000\n85203 100000\n24833 37230\n66288 99429\n53491 80241\n47343 70996\n58833 88252\n55635 83437\n96139 100000\n89854 100000\n16133 24204\n36983 55459\n62037 93069\n12809 19274\n79855 100000\n68982 100000\n47476 71199\n3872 5810\n95613 100000\n39995 59935\n55086 82599\n45540 68243\n24579 36848\n9649 14513\n30979 46442\n50189 75273\n55596 83378\n53059 79589\n89926 100000\n71508 100000\n35348 53007\n30711 46033\n699 1040\n24405 36592\n6828 10310\n65021 97541\n96475 100000\n60500 90771\n14619 21941\n16936 25396\n11211 16882\n87537 100000\n61585 92400\n82274 100000\n40980 61422\n14491 21748\n77703 100000\n6637 10025\n96266 100000\n41300 61891\n35373 53050\n45788 68632\n17484 26232\n10822 16299\n46888 70314\n90122 100000\n50725 76091\n73154 100000\n47484 71212\n71227 100000\n43313 64907\n45152 67663\n25648 38456\n86816 100000\n18163 27223\n29412 44100\n70817 100000\n79161 100000\n9312 14009\n58267 87418\n8410 12661\n53569 80365\n92100 100000\n26397 39584\n25244 37845\n31715 47554\n2270 3408\n86433 100000\n55003 82469\n40192 60231\n64794 97197\n50317 75464\n89003 100000\n12779 19228\n31800 47679\n86040 100000\n69320 100000\n20277 30411\n54010 81027\n23775 35664\n86962 100000\n91657 100000\n50150 75213\n97542 100000\n49136 73682\n98122 100000\n15562 23358\n81982 100000\n67952 100000\n40511 60698\n34028 51030\n7596 11447\n35761 53626\n81794 100000\n47015 70511\n4785 7208\n55570 83338\n10193 15358\n84886 100000\n83272 100000\n47394 71072\n54094 81152\n54842 82239\n30617 45895\n16210 24325\n41844 62716\n3474 5224\n89417 100000\n56080 84102\n92109 100000\n15608 23428\n16187 24288\n66117 99177\n54766 82128\n7217 10875\n92343 100000\n48988 73467\n43127 64620\n95847 100000\n57695 86558\n52097 78151\n49446 74156\n97483 100000\n44666 66940\n21738 32607\n31252 46851\n99485 100000\n74779 100000\n96030 100000\n25150 37709\n84019 100000\n59996 90020\n99041 100000\n98323 100000\n20551 30821\n20471 30693\n71639 100000\n57177 85776\n83868 100000\n86009 100000\n57807 86717\n46410 69591\n7690 11589\n26890 40306\n13423 20171\n39144 58637\n42036 63008\n91404 100000\n86297 100000\n75366 100000\n64023 96056\n55890 83820\n42768 64080\n76204 100000\n37794 56647\n36608 54904\n71206 100000\n28407 42583\n87332 100000\n71844 100000\n91348 100000\n58865 88295\n4887 7367\n68398 100000\n77784 100000\n33909 50847\n96676 100000\n46792 70172\n18406 27583\n20988 31460\n99455 100000\n89599 100000\n7942 11971\n53605 80421\n57879 86826\n76603 100000\n92578 100000\n13608 20430\n87735 100000\n39 58\n29391 44065\n78044 100000\n1596 2397\n76050 100000\n70125 100000\n81012 100000\n66310 99467\n59433 89162\n73072 100000\n79779 100000\n58864 88293\n92192 100000\n41706 62513\n78838 100000\n54792 82162\n2084 3124\n55966 83935\n83515 100000\n35714 53552\n38068 57047\n19886 29821\n73781 100000\n47894 71827\n55087 82600\n19246 28857\n18254 27354\n94858 100000\n14804 22214\n25959 38927\n25585 38356\n8241 12401\n96040 100000\n60060 90116\n20436 30639\n85809 100000\n65985 98970\n63899 95873\n28030 42034\n56120 84161\n28808 43184\n34529 51791\n45470 68133\n89338 100000\n5356 8085\n30145 45186\n6197 9354\n85154 100000\n94150 100000\n7121 10736\n50181 75262\n4292 6455\n26770 40130\n57599 86411\n24886 37311\n26002 38993\n194 288\n82885 100000\n34491 51728\n90262 100000\n27865 41776\n46080 69079\n97190 100000\n64516 96789\n90479 100000\n53814 80730\n17574 26369\n96339 100000\n24765 37126\n11557 17398\n24853 37259\n1364 2053\n40086 60071\n46464 69671\n69207 100000\n10542 15869\n49727 74587\n7097 10698\n55093 82611\n79759 100000\n65478 98218\n935 1404\n76518 100000\n11382 17138\n38797 58126\n79272 100000\n46639 69931\n65331 97993\n90854 100000\n39136 58625\n67678 100000\n57026 85545\n96926 100000\n46060 69047\n70956 100000\n64820 97234\n16459 24702\n44644 66905\n24126 36180\n16525 24797\n30810 46191\n86177 100000\n43130 64624\n49769 74650\n80312 100000\n31427 47119\n57597 86409\n31396 47068\n65160 97748\n73148 100000\n19985 29974\n7566 11404\n165 248\n47981 71950\n64716 97094\n11801 17749\n45596 68330\n56836 85253\n38965 58383\n35542 53299\n61194 91812\n78701 100000\n93029 100000\n72760 100000\n59625 89461\n82475 100000\n20976 31446\n98012 100000\n82130 100000\n73317 100000\n95538 100000\n27014 40488\n52815 79220\n66959 100000\n87937 100000\n15252 22893\n21335 31985\n62541 93821\n67904 100000\n98016 100000\n5153 7773\n88299 100000\n65681 98523\n17760 26640\n74314 100000\n31147 46690\n68834 100000\n88197 100000\n3414 5131\n14470 21720\n70655 100000\n69503 100000\n78429 100000\n47303 70935\n93077 100000\n67595 100000\n49345 74002\n30061 45063\n37093 55617\n29054 43559\n7312 11021\n12526 18849\n12529 18854\n27058 40558\n12380 18630\n65820 98721\n68860 100000\n2754 4138\n3419 5140\n7740 11672\n18772 28143\n23191 34792\n17740 26610\n86509 100000\n29583 44352\n36612 54910\n91958 100000\n38076 57058\n62700 94063\n81202 100000\n81654 100000\n40042 60001\n22002 33020\n89839 100000\n22679 34027\n44580 66815\n45711 68520\n13737 20626\n75703 100000\n2370 3564\n41299 61890\n85810 100000\n23396 35101\n50525 75781\n20573 30858\n16867 25294\n77404 100000\n26639 39940\n75169 100000\n32499 48743\n69053 100000\n43027 64468\n96698 100000\n26276 39406\n10074 15177\n98544 100000\n62536 93813\n49341 73996\n96902 100000\n10341 15574\n83064 100000\n92855 100000\n75745 100000\n88978 100000\n79099 100000\n78239 100000\n4517 6791\n71194 100000\n18573 27829\n57303 85969\n52707 79063\n80250 100000\n95693 100000\n54055 81095\n80724 100000\n54625 81920\n12105 18216\n69127 100000\n2573 3868\n61008 91531\n47364 71027\n69097 100000\n27165 40718\n98756 100000\n67994 100000\n90141 100000\n45676 68463\n32614 48915\n67450 100000\n99828 100000\n9956 14997\n59950 89950\n46899 70332\n44764 67081\n81538 100000\n26615 39901\n81066 100000\n7406 11161\n16080 24128\n34490 51727\n45796 68642\n65464 98197\n43520 65207\n18598 27870\n19588 29371\n8134 12247\n18706 28045\n80456 100000\n83143 100000\n86867 100000\n21172 31744\n67735 100000\n73831 100000\n17456 26189\n31576 47339\n1937 2895\n13808 20733\n82205 100000\n91652 100000\n94995 100000\n95948 100000\n89145 100000\n28191 42261\n98792 100000\n90374 100000\n84022 100000\n39165 58674\n4237 6369\n5345 8068\n9299 13988\n43604 65334\n96776 100000\n88425 100000\n81392 100000\n24990 37466\n1308 1968\n2467 3703\n73730 100000\n62277 93426\n32793 49185\n33425 50137\n92367 100000\n47762 71633\n89325 100000\n62154 93247\n40820 61173\n96280 100000\n72452 100000\n50011 75008\n22620 33940\n50483 75717\n80311 100000\n95504 100000\n18166 27227\n60110 90191\n93625 100000\n66505 99759\n93723 100000\n33601 50395\n92774 100000\n21101 31633\n27001 40469\n89722 100000\n84091 100000\n52426 78644\n63230 94876\n22865 34308\n12923 19427\n67217 100000\n28608 42884\n44046 65997\n34168 51241\n7269 10958\n48004 71985\n59695 89565\n65910 98852\n96595 100000\n41754 62585\n53753 80644\n94073 100000\n67241 100000\n76474 100000\n3614 5427\n73776 100000\n26845 40238\n81825 100000\n65642 98464\n87521 100000\n77798 100000\n32395 48580\n5430 8195\n52203 78315\n21990 33000\n12908 19407\n49933 74886\n87991 100000\n48483 72705\n35976 53951\n33267 49897\n19225 28827\n32228 48325\n8906 13400\n29703 44536\n78796 100000\n5935 8963\n68933 100000\n88580 100000\n69292 100000\n64203 96320\n94430 100000\n47232 70827\n21262 31877\n61304 91974\n91940 100000\n20286 30423\n13940 20928\n51879 77819\n52455 78687\n68751 100000\n85778 100000\n16527 24800\n73726 100000\n66481 99722\n45148 67656\n90169 100000\n61844 92782\n5251 7921\n15756 23641\n10330 15561\n84786 100000\n77603 100000\n67197 100000\n6463 9758\n24517 36757\n92506 100000\n59698 89569\n96074 100000\n57617 86440\n73615 100000\n45895 68790\n80673 100000\n72211 100000\n27550 41298\n91364 100000\n62504 93766\n80161 100000\n25705 38545\n58700 88053\n4630 6968\n27070 40575\n3386 5087\n86732 100000\n69451 100000\n21085 31610\n62039 93072\n83219 100000\n48665 72987\n72337 100000\n17906 26859\n97517 100000\n28073 42092\n80538 100000\n9840 14810\n72574 100000\n28306 42434\n79200 100000\n78563 100000\n85896 100000\n51335 77026\n1713 2571\n58601 87904\n11495 17306\n56894 85344\n8159 12286\n76595 100000\n72608 100000\n59978 89991\n64297 96465\n28245 42344\n66532 99800\n3696 5548\n97347 100000\n82149 100000\n27205 40779\n51949 77924\n72392 100000\n66940 100000\n2832 4255\n68666 100000\n91347 100000\n51443 77176\n93688 100000\n26093 39136\n96569 100000\n11579 17432\n41870 62759\n34601 51899\n26496 39728\n62622 93949\n66187 99278\n78107 100000\n13832 20768\n46474 69685\n58203 87320\n82386 100000\n17590 26391\n96948 100000\n59288 88945\n55583 83359\n4137 6213\n53127 79698\n26529 39775\n32435 48641\n72669 100000\n58003 87020\n84296 100000\n28866 43279\n72655 100000\n2382 3578\n18479 27692\n95861 100000\n88183 100000\n37922 56833\n40478 60653\n78476 100000\n60218 90355\n49402 74091\n39567 59275\n36584 54868\n60859 91302\n85723 100000\n33977 50954\n67238 100000\n2397 3600\n29079 43596\n82433 100000\n66349 99524\n37847 56724\n58474 87718\n31177 46737\n72520 100000\n83122 100000\n58813 88221\n80638 100000\n16332 24517\n43976 65892\n42656 63926\n41204 61752\n37469 56167\n90975 100000\n52505 78758\n19160 28731\n43893 65769\n10805 16276\n52209 78324\n24890 37317\n66473 99711\n90961 100000\n7436 11209\n85163 100000\n84957 100000\n36141 54199\n89801 100000\n4575 6882\n61078 91636\n73929 100000\n72375 100000\n47255 70866\n62581 93886\n26715 40054\n91238 100000\n57883 86832\n10175 15332\n87786 100000\n49348 74008\n50070 75091\n95819 100000\n87508 100000\n46214 69280\n21658 32483\n80047 100000\n87186 100000\n7371 11106\n72179 100000\n42095 63097\n72594 100000\n91306 100000\n94464 100000\n1288 1936\n42429 63598\n32615 48917\n43098 64575\n67989 100000\n35934 53885\n77871 100000\n39862 59733\n9713 14609\n13942 20932\n35601 53389\n32196 48279\n85095 100000\n78280 100000\n78224 100000\n54675 81995\n48418 72607\n13989 20998\n17274 25914\n83032 100000\n85719 100000\n85846 100000\n11139 16771\n48326 72470\n71773 100000\n32291 48426\n66422 99632\n97112 100000\n84823 100000\n97422 100000\n21303 31934\n43965 65876\n30520 45747\n85801 100000\n28881 43300\n86127 100000\n25633 38434\n72821 100000\n54528 81782\n70489 100000\n11824 17785\n36210 54293\n83375 100000\n42101 63107\n63340 95033\n71493 100000\n12899 19394\n53530 80300\n8677 13063\n58016 87040\n16659 24995\n1060 1592\n56575 84856\n8778 13211\n11291 17002\n74879 100000\n14580 21884\n30938 46387\n43243 64799\n17992 26976\n156 235\n83394 100000\n10360 15604\n17975 26950\n81691 100000\n51483 77231\n79580 100000\n87724 100000\n53066 79598\n80007 100000\n78004 100000\n99013 100000\n54928 82365\n94000 100000\n77063 100000\n13561 20365\n10558 15896\n51786 77684\n9556 14376\n85354 100000\n13382 20111\n85649 100000\n15346 23036\n50121 75169\n53486 80233\n43471 65135\n37333 55974\n19752 29621\n23569 35357\n24844 37246\n49747 74614\n3769 5652\n76490 100000\n50133 75189\n67475 100000\n8135 12249\n45627 68386\n63547 95342\n43700 65478\n84818 100000\n51084 76646\n77296 100000\n74960 100000\n46720 70056\n42475 63667\n64034 96073\n75093 100000\n97691 100000\n89230 100000\n23430 35149\n83086 100000\n76645 100000\n40774 61103\n76196 100000\n80867 100000\n83103 100000\n1010 1518\n61976 92983\n17027 25544\n38992 58421\n94037 100000\n73845 100000\n82041 100000\n6503 9823\n48786 73167\n58104 87175\n78428 100000\n6215 9383\n94728 100000\n66268 99398\n1491 2246\n70447 100000\n941 1412\n8014 12071\n25747 38608\n89384 100000\n52095 78148\n55828 83725\n36031 54032\n15285 22940\n95209 100000\n43164 64674\n4996 7533\n60888 91348\n68370 100000\n79948 100000\n43637 65383\n33582 50367\n54735 82083\n62979 94502\n64756 97146\n57101 85657\n40246 60308\n60852 91291\n99819 100000\n60363 90561\n28829 43218\n7083 10680\n37422 56102\n22233 33380\n56319 84469\n4102 6160\n92440 100000\n31983 47958\n7283 10978\n21260 31873\n32874 49304\n52098 78152\n60850 91288\n71902 100000\n68454 100000\n15251 22891\n96516 100000\n63391 95111\n37301 55930\n7126 10745\n33805 50700\n27522 41257\n79151 100000\n94920 100000\n95297 100000\n54544 81803\n93260 100000\n6377 9638\n14375 21579\n74569 100000\n92993 100000\n85743 100000\n40162 60184\n74370 100000\n67069 100000\n87630 100000\n37911 56818\n53470 80211\n86661 100000\n63795 95714\n37780 56625\n21084 31609\n12566 18912\n17180 25776\n31705 47536\n76865 100000\n93089 100000\n23200 34809\n12749 19185\n43020 64456\n23970 35955\n43847 65700\n12309 18527\n85428 100000\n30455 45645\n97727 100000\n98218 100000\n25358 38013\n94339 100000\n54516 81766\n92826 100000\n28389 42555\n16520 24791\n7709 11621\n76946 100000\n82803 100000\n27533 41273\n59122 88690\n57598 86410\n83021 100000\n1716 2575\n37142 55692\n44048 66000\n96870 100000\n79526 100000\n75078 100000\n33319 49971\n27393 41055\n72788 100000\n45941 68863\n20679 31010\n50707 76061\n79061 100000\n79952 100000\n39961 59882\n79290 100000\n45124 67616\n18459 27660\n57281 85934\n69762 100000\n23647 35478\n14904 22360\n91501 100000\n86802 100000\n53120 79688\n19280 28909\n31323 46958\n65528 98292\n61457 92208\n44926 67315\n3688 5537\n37553 56293\n66302 99451\n41557 62285\n33025 49540\n7593 11443\n36015 54009\n28404 42578\n51370 77077\n62778 94183\n39492 59160\n27963 41924\n841 1264\n39350 58950\n94179 100000\n14564 21856\n88689 100000\n42477 63669\n77858 100000\n26174 39255\n44648 66910\n12819 19287\n81807 100000\n30128 45161\n69543 100000\n43000 64426\n11535 17364\n37221 55802\n61323 92004\n96320 100000\n38018 56976\n97879 100000\n33996 50984\n19167 28742\n95206 100000\n73979 100000\n98902 100000\n29518 44262\n67461 100000\n53619 80443\n47159 70714\n86216 100000\n5363 8094\n44386 66508\n37202 55774\n64868 97309\n33271 49904\n72729 100000\n39620 59356\n45901 68802\n37570 56321\n81340 100000\n4711 7097\n39096 58567\n71214 100000\n20924 31366\n24587 36857\n13118 19726\n91625 100000\n31790 47664\n45581 68306\n73066 100000\n2811 4224\n51721 77593\n64252 96395\n76221 100000\n21261 31875\n30316 45431\n40853 61222\n55436 83138\n33362 50036\n68404 100000\n89211 100000\n59945 89942\n98031 100000\n53615 80436\n84359 100000\n14476 21726\n71877 100000\n54040 81071\n44325 66419\n33944 50899\n9903 14908\n67277 100000\n37680 56478\n18865 28277\n11490 17301\n25067 37588\n22941 34423\n76913 100000\n11962 18003\n29758 44621\n29617 44404\n77355 100000\n45003 67432\n69954 100000\n31339 46982\n93051 100000\n11525 17350\n24008 36008\n78435 100000\n934 1402\n62279 93430\n59000 88503\n28090 42116\n57358 86055\n13294 19977\n49527 74284\n44597 66839\n36300 54438\n93221 100000\n98128 100000\n66517 99777\n98212 100000\n80260 100000\n75081 100000\n68260 100000\n543 815\n73774 100000\n3758 5638\n55015 82490\n83571 100000\n48731 73087\n40265 60337\n46541 69790\n15711 23581\n43682 65452\n83808 100000\n30885 46305\n48457 72666\n25229 37822\n9879 14869\n78255 100000\n1613 2420\n20200 30299\n2520 3785\n40481 60657\n21840 32768\n57172 85768\n46157 69194\n52074 78117\n36276 54399\n63914 95896\n84124 100000\n50556 75826\n71477 100000\n79109 100000\n90430 100000\n62791 94203\n5091 7677\n1492 2247\n91461 100000\n60028 90066\n89627 100000\n2070 3102\n51749 77629\n55349 83005\n59567 89372\n45352 67959\n91231 100000\n22815 34232\n36564 54839\n76954 100000\n898 1345\n28979 43444\n76267 100000\n34339 51496\n48384 72554\n79057 100000\n70185 100000\n71422 100000\n80863 100000\n3860 5792\n81165 100000\n20889 31314\n12399 18657\n10261 15457\n46134 69157\n5272 7957\n22969 34468\n66858 100000\n89123 100000\n61326 92007\n70216 100000\n92489 100000\n31655 47458\n11866 17852\n86798 100000\n99651 100000\n64520 96795\n67914 100000\n64590 96898\n52335 78509\n84773 100000\n89537 100000\n66199 99292\n76441 100000\n20754 31121\n70286 100000\n99813 100000\n31543 47290\n68139 100000\n18063 27080\n50028 75032\n92951 100000\n75429 100000\n41079 61575\n93505 100000\n28641 42932\n34573 51860\n21782 32680\n70277 100000\n29452 44158\n33536 50299\n76138 100000\n46253 69347\n21065 31582\n57677 86528\n18498 27721\n8236 12394\n66600 99903\n68178 100000\n5497 8292\n8857 13327\n21921 32896\n30242 45324\n987 1483\n66655 99989\n69231 100000\n45000 67428\n27243 40832\n61969 92971\n18810 28196\n74965 100000\n98571 100000\n11155 16797\n61065 91618\n55476 83201\n2200 3295\n16629 24950\n98772 100000\n67943 100000\n79809 100000\n45073 67540\n69566 100000\n84447 100000\n18937 28386\n82305 100000\n81788 100000\n18476 27687\n75415 100000\n68540 100000\n56728 85086\n62527 93800\n16051 24085\n59269 88916\n76667 100000\n79375 100000\n10229 15413\n31708 47540\n13724 20606\n83668 100000\n1036 1556\n88791 100000\n28141 42189\n52605 78915\n31245 46839\n42655 63925\n6410 9682\n18893 28322\n94146 100000\n67516 100000\n34735 52103\n69057 100000\n30633 45917\n2501 3755\n55338 82988\n42844 64193\n14155 21243\n32479 48710\n54007 81023\n23358 35050\n4735 7132\n41293 61883\n11123 16749\n96760 100000\n33143 49721\n70009 100000\n74713 100000\n63742 95632\n91249 100000\n10580 15932\n9476 14257\n33918 50860\n81993 100000\n94753 100000\n79073 100000\n62555 93843\n53556 80344\n29510 44248\n9484 14268\n77934 100000\n56530 84785\n73939 100000\n40474 60649\n21131 31681\n49171 73735\n18363 27517\n15839 23761\n38353 57475\n71108 100000\n71669 100000\n26056 39076\n28733 43072\n29429 44126\n74469 100000\n9295 13982\n12333 18563\n91433 100000\n44029 65971\n60766 91156\n84343 100000\n99695 100000\n40894 61289\n93126 100000\n34360 51532\n37933 56847\n55843 83747\n68460 100000\n45172 67693\n49 74\n92267 100000\n48538 72794\n80579 100000\n15609 23429\n19992 29986\n73493 100000\n37344 55991\n28261 42368\n75270 100000\n32261 48375\n12118 18240\n38622 57880\n57251 85887\n62070 93120\n64257 96404\n87248 100000\n96709 100000\n17979 26956\n71235 100000\n1133 1709\n70350 100000\n52329 78500\n99449 100000\n77758 100000\n9409 14155\n23614 35427\n56359 84524\n98288 100000\n12914 19415\n43259 64823\n41465 62145\n19620 29421\n49799 74688\n51327 77012\n76397 100000\n51934 77903\n67469 100000\n98979 100000\n21866 32813\n61751 92646\n33062 49599\n16992 25488\n45749 68573\n47506 71246\n43690 65463\n7531 11348\n23849 35767\n2222 3331\n96599 100000\n26878 40289\n61329 92013\n27306 40924\n48776 73152\n89159 100000\n79866 100000\n24656 36964\n73680 100000\n66001 98997\n19537 29293\n87595 100000\n82841 100000\n82323 100000\n29192 43766\n57489 86248\n83000 100000\n44044 65993\n54034 81062\n4476 6736\n21895 32854\n57389 86099\n16198 24306\n65865 98784\n91323 100000\n97294 100000\n7658 11541\n915 1373\n77518 100000\n50402 75595\n46596 69867\n46049 69031\n75821 100000\n55070 82574\n66364 99547\n97809 100000\n72361 100000\n82895 100000\n40266 60338\n34255 51368\n87805 100000\n97363 100000\n97343 100000\n23791 35686\n17743 26614\n81023 100000\n20559 30834\n24678 36998\n79147 100000\n99277 100000\n14010 21030\n29347 43998\n80835 100000\n60414 90638\n48932 73385\n51409 77129\n95632 100000\n56058 84071\n29216 43801\n29052 43556\n44361 66469\n5174 7807\n96467 100000\n9486 14270\n8674 13059\n67981 100000\n53686 80542\n13202 19843\n89663 100000\n90475 100000\n11153 16793\n59326 89003\n60736 91116\n15 21\n35263 52885\n27187 40750\n27971 41940\n75232 100000\n35788 53666\n83773 100000\n46990 70471\n13433 20186\n25574 38338\n47309 70944\n97302 100000\n4645 6990\n43511 65193\n27802 41675\n66157 99234\n20355 30518\n36267 54385\n65419 98129\n50481 75713\n59147 88726\n18455 27653\n3503 5266\n44563 66791\n42478 63670\n69655 100000\n61086 91648\n7721 11641\n22212 33347\n69454 100000\n5463 8245\n62520 93788\n22647 33979\n45704 68508\n92033 100000\n93890 100000\n77140 100000\n17414 26124\n30720 46048\n60639 90974\n70824 100000\n34824 52235\n14172 21269\n1689 2539\n73719 100000\n57119 85688\n15332 23011\n91008 100000\n5664 8542\n6009 9077\n33369 50047\n90826 100000\n60902 91372\n76455 100000\n22704 34063\n86493 100000\n3534 5307\n19941 29902\n89301 100000\n37946 56867\n18643 27944\n33641 50455\n58015 87039\n32824 49229\n60416 90640\n87921 100000\n1326 1994\n52764 79141\n99890 100000\n33109 49671\n58189 87297\n92537 100000\n27863 41774\n19940 29901\n61919 92898\n62167 93265\n22961 34456\n46280 69391\n67305 100000\n80982 100000\n82686 100000\n18920 28359\n73795 100000\n83824 100000\n80997 100000\n44593 66834\n69626 100000\n48306 72439\n59074 88615\n43662 65423\n57701 86567\n52180 78277\n70573 100000\n38392 57536\n46688 70005\n91860 100000\n98378 100000\n20589 30884\n68977 100000\n60243 90390\n14962 22447\n10877 16380\n74377 100000\n14205 21319\n74354 100000\n64658 96999\n35131 52682\n97709 100000\n56137 84188\n65988 98975\n16380 24586\n83364 100000\n2398 3601\n93544 100000\n91202 100000\n41750 62578\n87751 100000\n6134 9261\n40882 61268\n12902 19397\n89132 100000\n29660 44470\n64021 96053\n38859 58220\n56791 85187\n19530 29283\n73419 100000\n81847 100000\n46722 70060\n2869 4309\n20649 30969\n90679 100000\n724 1082\n71345 100000\n76331 100000\n93728 100000\n70787 100000\n33041 49565\n69189 100000\n79741 100000\n54633 81929\n25247 37848\n23449 35178\n34619 51927\n31874 47791\n34209 51300\n25199 37781\n58118 87195\n8991 13528\n63267 94929\n89039 100000\n48906 73349\n28173 42235\n3288 4945\n44095 66075\n88392 100000\n73415 100000\n20828 31221\n25500 38227\n46708 70038\n47749 71610\n19638 29445\n43344 64947\n2401 3605\n39430 59068\n5222 7877\n14377 21583\n67569 100000\n6286 9494\n18968 28439\n47758 71626\n65214 97825\n49135 73680\n85889 100000\n32907 49354\n86860 100000\n59346 89035\n33438 50157\n29253 43857\n8847 13309\n78023 100000\n8839 13297\n99212 100000\n10592 15951\n72063 100000\n9214 13858\n10923 16451\n21322 31964\n78460 100000\n45736 68553\n56216 84313\n71400 100000\n88124 100000\n60687 91050\n21414 32108\n41956 62888\n57263 85905\n85403 100000\n13349 20061\n49495 74234\n90408 100000\n55764 83628\n89813 100000\n70067 100000\n21611 32406\n4629 6967\n97663 100000\n54080 81136\n19143 28705\n28169 42229\n53874 80823\n51311 76985\n30281 45384\n10653 16044\n63527 95313\n12643 19025\n29438 44139\n83960 100000\n22090 33150\n1781 2669\n66094 99144\n22780 34178\n30437 45611\n63923 95911\n80692 100000\n97647 100000\n25323 37962\n39034 58482\n62529 93804\n98115 100000\n87566 100000\n20336 30490\n90974 100000\n18039 27048\n23817 35722\n13300 19985\n52958 79431\n38500 57699\n72850 100000\n34296 51428\n37067 55579\n77564 100000\n1426 2146\n6570 9926\n50086 75116\n96719 100000\n85996 100000\n64165 96267\n55542 83300\n97972 100000\n21592 32375\n26559 39819\n53041 79559\n95588 100000\n14602 21916\n9861 14840\n88290 100000\n18825 28220\n20617 30926\n25161 37724\n23006 34521\n29530 44278\n10738 16174\n59418 89141\n73537 100000\n87058 100000\n27681 41496\n32954 49429\n76501 100000\n66960 100000\n58250 87391\n4933 7438\n50245 75355\n56929 85393\n18900 28332\n2893 4347\n59440 89173\n7909 11923\n24735 37083\n21407 32098\n81540 100000\n49645 74466\n26601 39878\n60288 90452\n3513 5278\n62425 93652\n64482 96736\n63327 95015\n3169 4762\n9123 13723\n26992 40457\n93847 100000\n11370 17120\n67631 100000\n91368 100000\n84116 100000\n21181 31756\n45468 68131\n14636 21966\n825 1240\n34314 51456\n26407 39602\n68341 100000\n17444 26169\n9490 14276\n69087 100000\n1839 2755\n96667 100000\n15069 22609\n81276 100000\n5390 8136\n10913 16435\n10349 15584\n39009 58442\n12109 18224\n99742 100000\n54147 81230\n9653 14520\n87902 100000\n41352 61968\n99606 100000\n8768 13195\n741 1110\n37541 56274\n47703 71545\n52613 78927\n371 542\n76132 100000\n19802 29692\n82116 100000\n73392 100000\n57419 86143\n26980 40438\n40303 60396\n10327 15556\n29628 44421\n80714 100000\n71288 100000\n77276 100000\n55234 82821\n62316 93485\n63725 95605\n76223 100000\n94280 100000\n12581 18935\n4452 6702\n82110 100000\n6265 9460\n89658 100000\n35204 52798\n55431 83131\n12669 19067\n34686 52032\n62734 94117\n4360 6558\n49156 73712\n43361 64973\n75566 100000\n60249 90400\n81436 100000\n8411 12663\n11522 17346\n3281 4933\n75160 100000\n74135 100000\n27389 41049\n79573 100000\n50705 76057\n67778 100000\n8456 12730\n85008 100000\n12224 18401\n80776 100000\n15340 23026\n46007 68965\n74833 100000\n28886 43307\n47933 71885\n73670 100000\n69341 100000\n89090 100000\n69550 100000\n60768 91160\n63459 95213\n4851 7310\n82187 100000\n74122 100000\n85580 100000\n39983 59918\n75604 100000\n90368 100000\n70245 100000\n25434 38129\n10851 16343\n29521 44267\n34957 52433\n75489 100000\n87273 100000\n90866 100000\n73597 100000\n73500 100000\n79315 100000\n30683 45995\n66047 99068\n6714 10143\n29933 44880\n74885 100000\n9870 14854\n1878 2812\n71727 100000\n44550 66771\n61109 91683\n89191 100000\n39602 59329\n38152 57171\n30534 45769\n77902 100000\n78785 100000\n89309 100000\n47780 71658\n46423 69611\n23052 34589\n5102 7695\n42103 63110\n37459 56153\n76145 100000\n17601 26406\n63646 95486\n99590 100000\n63468 95227\n79471 100000\n58270 87421\n98564 100000\n31859 47767\n15034 22555\n84062 100000\n99331 100000\n37726 56541\n91771 100000\n83047 100000\n83598 100000\n96675 100000\n34235 51339\n32699 49042\n75115 100000\n62447 93683\n23329 35007\n42826 64165\n85582 100000\n97907 100000\n24475 36695\n45237 67788\n28781 43140\n57768 86664\n36098 54130\n93042 100000\n57449 86187\n16156 24240\n7563 11400\n16797 25194\n27241 40829\n28926 43367\n7238 10912\n26669 39985\n7610 11468\n71129 100000\n28335 42478\n14771 22162\n1440 2168\n13856 20803\n24212 36309\n34727 52091\n27428 41108\n59713 89592\n68429 100000\n67593 100000\n87378 100000\n17631 26448\n62761 94155\n72968 100000\n87425 100000\n32379 48555\n43585 65304\n42676 63953\n91985 100000\n19933 29891\n48036 72033\n67808 100000\n69236 100000\n67929 100000\n52217 78333\n77225 100000\n24203 36295\n38244 57312\n14513 21782\n68976 100000\n74801 100000\n41877 62771\n86 130\n7763 11702\n64795 97199\n21110 31648\n99984 100000\n30715 46041\n19534 29288\n14333 21518\n24939 37386\n18217 27298\n58884 88324\n68267 100000\n24683 37004\n76535 100000\n49723 74580\n82620 100000\n8748 13165\n37653 56438\n14508 21775\n38071 57050\n55222 82799\n22488 33750\n4993 7529\n92434 100000\n81068 100000\n48959 73425\n17314 25978\n98960 100000\n58082 87140\n40008 59950\n68602 100000\n86402 100000\n2794 4199\n48417 72605\n58287 87448\n25086 37615\n37668 56460\n54613 81905\n47163 70722\n12088 18193\n13819 20749\n76265 100000\n1793 2686\n53593 80404\n73288 100000\n30754 46103\n69105 100000\n90551 100000\n54043 81076\n82281 100000\n29709 44544\n11227 16907\n90136 100000\n98586 100000\n57724 86602\n20963 31425\n97009 100000\n19392 29071\n35906 53841\n7986 12034\n61651 92492\n80993 100000\n30441 45619\n10508 15822\n44944 67345\n46035 69008\n52367 78557\n39973 59899\n79500 100000\n77547 100000\n14208 21323\n99903 100000\n25008 37494\n13499 20273\n86422 100000\n8051 12127\n94508 100000\n73623 100000\n93633 100000\n49627 74440\n79728 100000\n80182 100000\n64386 96596\n32938 49402\n6279 9480\n50072 75095\n78887 100000\n5999 9064\n36221 54309\n245 359\n21590 32372\n50809 76218\n3628 5449\n5237 7899\n14718 22084\n78483 100000\n46261 69360\n92621 100000\n10027 15106\n85706 100000\n1125 1694\n14331 21514\n44407 66545\n85807 100000\n10850 16342\n37871 56758\n57755 86646\n1837 2752\n56124 84168\n70068 100000\n32776 49158\n15391 23100\n92965 100000\n12586 18941\n88911 100000\n12157 18303\n40974 61411\n81515 100000\n46585 69850\n26287 39419\n49873 74800\n47548 71311\n41182 61720\n84999 100000\n16579 24877\n35702 53534\n9837 14806\n23704 35559\n26360 39528\n32104 48141\n88357 100000\n2711 4075\n86622 100000\n12449 18733\n5582 8422\n52749 79123\n41061 61550\n69455 100000\n89969 100000\n59524 89304\n399 588\n88634 100000\n74712 100000\n31913 47847\n64068 96122\n32414 48611\n82405 100000\n11420 17193\n77875 100000\n27450 41141\n24320 36468\n20647 30966\n48210 72298\n80954 100000\n28618 42901\n63017 94557\n46032 69003\n14623 21948\n32940 49406\n55882 83810\n33806 50701\n43605 65335\n57659 86501\n39319 58904\n86565 100000\n87770 100000\n6238 9422\n56340 84500\n41990 62942\n43939 65835\n1462 2201\n91580 100000\n82628 100000\n72418 100000\n62596 93910\n94336 100000\n72749 100000\n73585 100000\n19678 29506\n85001 100000\n52897 79343\n95777 100000\n196 291\n89507 100000\n66236 99346\n4332 6517\n76605 100000\n80885 100000\n98934 100000\n44718 67012\n53623 80449\n3897 5853\n65165 97754\n58699 88052\n91981 100000\n84164 100000\n24812 37200\n69917 100000\n91305 100000\n34637 51955\n51204 76828\n16645 24975\n24199 36291\n37160 55714\n349 510\n74413 100000\n27796 41665\n5603 8451\n4550 6843\n56609 84914\n60082 90150\n31980 47952\n37897 56797\n8895 13382\n51513 77276\n98496 100000\n26558 39817\n16306 24474\n31290 46907\n96549 100000\n62380 93587\n65385 98077\n80427 100000\n16413 24635\n61053 91598\n72920 100000\n3991 5994\n77390 100000\n76010 100000\n61634 92465\n83378 100000\n80646 100000\n66631 99948\n37614 56381\n8200 12343\n8454 12727\n26928 40364\n67966 100000\n62643 93983\n81136 100000\n79859 100000\n23337 35017\n25616 38408\n93755 100000\n10076 15181\n70001 100000\n11118 16741\n21277 31897\n18483 27698\n50539 75801\n21041 31545\n26908 40333\n83309 100000\n58710 88069\n28606 42880\n95302 100000\n52626 78946\n14862 22296\n19881 29813\n6791 10256\n87284 100000\n15112 22673\n41338 61947\n30309 45423\n48369 72532\n64365 96568\n36540 54804\n58628 87949\n24842 37242\n86958 100000\n46162 69202\n65251 97879\n68364 100000\n44016 65950\n16483 24738\n99649 100000\n8701 13098\n45071 67538\n55344 82996\n44360 66467\n39367 58973\n49552 74324\n6688 10105\n97902 100000\n36536 54800\n34999 52494\n50120 75167\n10093 15207\n89589 100000\n97385 100000\n80063 100000\n18315 27446\n9904 14910\n49641 74462\n64995 97503\n12302 18516\n31329 46966\n78404 100000\n76023 100000\n87506 100000\n33952 50912\n12487 18794\n57308 85977\n76372 100000\n75636 100000\n56773 85158\n82011 100000\n42748 64052\n4965 7489\n14290 21448\n70149 100000\n72152 100000\n51158 76756\n45573 68292\n36208 54291\n34708 52066\n84224 100000\n88074 100000\n1189 1793\n91687 100000\n23983 35973\n11234 16918\n48962 73428\n98405 100000\n44185 66209\n72598 100000\n24306 36445\n60226 90366\n32308 48451\n17359 26043\n71323 100000\n70681 100000\n41758 62590\n22874 34321\n19921 29874\n5448 8222\n33063 49601\n95967 100000\n97720 100000\n86336 100000\n3476 5227\n76259 100000\n16144 24220\n95214 100000\n26209 39305\n624 934\n47779 71656\n23198 34805\n17177 25772\n51193 76812\n6258 9449\n22651 33984\n1319 1984\n27138 40679\n4131 6203\n42366 63504\n47035 70539\n43739 65537\n90516 100000\n78346 100000\n71481 100000\n67045 100000\n81615 100000\n57066 85605\n9695 14581\n77736 100000\n79166 100000\n82729 100000\n70760 100000\n48912 73358\n65330 97992\n51789 77689\n57327 86005\n9244 13906\n79417 100000\n63190 94827\n95417 100000\n25791 38674\n85302 100000\n32837 49247\n41039 61517\n27945 41893\n53718 80588\n22970 34469\n90085 100000\n3693 5543\n56540 84802\n87152 100000\n90937 100000\n66839 100000\n87338 100000\n75607 100000\n64552 96842\n99375 100000\n78079 100000\n24518 36758\n30880 46297\n30756 46105\n17487 26238\n80163 100000\n57095 85647\n70164 100000\n60153 90258\n21297 31925\n88361 100000\n47567 71337\n43671 65436\n28010 42002\n18850 28259\n6202 9362\n98117 100000\n4885 7363\n33170 49760\n45549 68258\n67709 100000\n38237 57301\n9266 13938\n98372 100000\n19198 28790\n38746 58048\n83382 100000\n40242 60303\n40094 60083\n3791 5688\n85208 100000\n11389 17148\n97819 100000\n71711 100000\n64864 97303\n86432 100000\n9928 14949\n9311 14007\n82997 100000\n5732 8643\n40197 60236\n2515 3776\n10649 16039\n59090 88639\n20013 30017\n65109 97670\n79677 100000\n45970 68909\n12047 18134\n61758 92655\n54840 82236\n84360 100000\n47535 71289\n49564 74342\n90889 100000\n91535 100000\n19089 28625\n93785 100000\n93076 100000\n24824 37217\n43229 64779\n22893 34352\n76622 100000\n2127 3191\n79743 100000\n38794 58122\n86578 100000\n55799 83681\n75810 100000\n69198 100000\n34067 51091\n81194 100000\n37690 56492\n32242 48348\n58702 88057\n34776 52165\n26585 39855\n91901 100000\n94462 100000\n1091 1638\n9001 13543\n60490 90754\n9207 13848\n59470 89218\n69637 100000\n40470 60642\n57057 85590\n76530 100000\n80645 100000\n2399 3602\n32652 48972\n54610 81901\n45849 68719\n93933 100000\n97137 100000\n67573 100000\n44082 66055\n72712 100000\n48575 72852\n94134 100000\n64593 96903\n91142 100000\n84708 100000\n93270 100000\n39704 59485\n3465 5212\n19502 29238\n73506 100000\n49267 73881\n50737 76112\n36119 54166\n97826 100000\n17137 25711\n46556 69812\n8170 12301\n9607 14450\n43938 65834\n65023 97544\n62217 93338\n67937 100000\n51725 77598\n72518 100000\n32231 48330\n34297 51430\n81753 100000\n95970 100000\n14752 22137\n115 172\n86570 100000\n56957 85436\n27995 41978\n80208 100000\n67895 100000\n24384 36561\n44636 66895\n20092 30135\n4214 6330\n19818 29716\n7784 11733\n40330 60433\n82313 100000\n96677 100000\n70173 100000\n53999 81010\n95079 100000\n31535 47276\n11417 17188\n35174 52751\n34316 51460\n7389 11135\n97393 100000\n14436 21667\n21095 31625\n23026 34551\n86909 100000\n36925 55373\n77260 100000\n42506 63710\n13631 20465\n17668 26505\n13752 20648\n46072 69066\n30946 46398\n82571 100000\n19652 29465\n39443 59085\n39139 58630\n92273 100000\n28400 42573\n59367 89068\n72094 100000\n8430 12691\n71110 100000\n74967 100000\n44559 66785\n7273 10965\n82132 100000\n90070 100000\n37709 56516\n91030 100000\n10164 15315\n2680 4029\n48829 73228\n69184 100000\n92283 100000\n81694 100000\n5475 8260\n49949 74912\n88381 100000\n54224 81341\n12736 19169\n16084 24135\n40961 61391\n86515 100000\n90251 100000\n22419 33653\n17108 25665\n71209 100000\n34860 52285\n63647 95488\n25543 38291\n41809 62663\n83556 100000\n79875 100000\n89027 100000\n50826 76246\n14090 21142\n62668 94019\n87733 100000\n2147 3219\n95563 100000\n64703 97072\n27439 41125\n56697 85039\n70574 100000\n49040 73544\n72895 100000\n24741 37091\n54411 81614\n11236 16921\n33334 49993\n71468 100000\n53163 79751\n71445 100000\n13899 20873\n35208 52805\n53222 79842\n31045 46538\n30000 44980\n92248 100000\n71204 100000\n6941 10477\n81856 100000\n40238 60297\n33242 49859\n92562 100000\n85980 100000\n21089 31615\n30731 46067\n65617 98429\n11532 17359\n49591 74385\n58316 87491\n50533 75792\n4368 6569\n83247 100000\n81617 100000\n22525 33800\n34750 52125\n99393 100000\n3711 5571\n29801 44683\n77526 100000\n60130 90223\n91551 100000\n77951 100000\n14434 21664\n94945 100000\n21566 32333\n63889 95857\n15755 23640\n54259 81395\n17673 26513\n31735 47583\n79336 100000\n30887 46307\n41970 62910\n75774 100000\n82964 100000\n40072 60048\n10524 15841\n58615 87927\n77197 100000\n96681 100000\n36291 54424\n93410 100000\n70269 100000\n41984 62934\n52973 79455\n73934 100000\n86562 100000\n22163 33267\n64564 96862\n26838 40229\n57321 85997\n47789 71673\n71740 100000\n28695 43016\n28643 42935\n95787 100000\n2536 3812\n22739 34116\n93002 100000\n24019 36023\n80918 100000\n15198 22810\n99518 100000\n39959 59879\n19975 29958\n86675 100000\n99552 100000\n93426 100000\n73750 100000\n74756 100000\n62434 93665\n20023 30031\n35954 53919\n74923 100000\n6818 10294\n49150 73704\n53665 80512\n68963 100000\n97588 100000\n7158 10792\n83038 100000\n70565 100000\n9843 14814\n37578 56331\n86200 100000\n39993 59932\n73567 100000\n59584 89396\n11767 17703\n92217 100000\n5852 8825\n8420 12678\n8918 13417\n84499 100000\n63461 95216\n98886 100000\n60807 91213\n51125 76708\n16348 24540\n42271 63359\n7275 10968\n3553 5333\n94673 100000\n52341 78517\n91664 100000\n14247 21376\n89822 100000\n12182 18339\n10453 15740\n6273 9471\n58416 87634\n69624 100000\n36568 54845\n94904 100000\n62497 93757\n20890 31315\n900 1349\n57578 86380\n88071 100000\n11826 17789\n937 1407\n86456 100000\n41063 61554\n41295 61886\n90417 100000\n57121 85691\n67703 100000\n32766 49144\n12915 19417\n34447 51658\n80628 100000\n57006 85513\n15614 23437\n29145 43691\n35168 52743\n23743 35622\n13509 20286\n69080 100000\n71391 100000\n94279 100000\n30905 46333\n39159 58665\n70262 100000\n85583 100000\n19721 29575\n46574 69833\n82144 100000\n51016 76546\n53519 80283\n64233 96366\n64576 96877\n44935 67331\n94065 100000\n70755 100000\n46578 69839\n27955 41911\n83785 100000\n44837 67184\n86584 100000\n55809 83697\n36807 55201\n6392 9656\n62608 93928\n94126 100000\n51211 76841\n60272 90431\n58411 87626\n13579 20389\n64397 96612\n70079 100000\n96417 100000\n51828 77747\n12355 18596\n90881 100000\n15109 22670\n92697 100000\n17862 26796\n20323 30471\n95235 100000\n83233 100000\n10389 15652\n13824 20755\n91738 100000\n50275 75402\n79432 100000\n41539 62258\n6536 9875\n75333 100000\n45493 68167\n18584 27846\n550 827\n80967 100000\n60221 90359\n61164 91766\n52754 79128\n90926 100000\n4163 6252\n92108 100000\n29690 44518\n24577 36845\n63023 94568\n20294 30435\n12201 18367\n45958 68887\n82361 100000\n69758 100000\n16176 24273\n8021 12082\n64400 96617\n81559 100000\n82975 100000\n7866 11857\n84814 100000\n69645 100000\n78417 100000\n65188 97788\n50951 76444\n71213 100000\n23927 35890\n32818 49221\n6723 10157\n28558 42813\n57186 85790\n61733 92620\n94268 100000\n98258 100000\n73889 100000\n16593 24896\n54598 81881\n59272 88922\n54586 81864\n83855 100000\n61159 91760\n27670 41479\n61720 92601\n77584 100000\n92083 100000\n92553 100000\n23303 34967\n68490 100000\n76364 100000\n98029 100000\n65073 97614\n91241 100000\n64350 96546\n58574 87868\n14216 21333\n3022 4544\n28934 43378\n96064 100000\n76874 100000\n29568 44333\n46804 70189\n47552 71318\n53737 80620\n26172 39251\n82321 100000\n11449 17241\n35257 52877\n89719 100000\n95010 100000\n42283 63379\n69030 100000\n26803 40177\n2292 3441\n40575 60798\n98894 100000\n86895 100000\n59344 89032\n33000 49501\n35055 52573\n37455 56147\n65647 98470\n70074 100000\n34938 52403\n68394 100000\n77293 100000\n55816 83706\n12031 18107\n52436 78659\n34485 51720\n12544 18878\n96844 100000\n58158 87253\n98355 100000\n71038 100000\n80058 100000\n55066 82569\n58977 88468\n91896 100000\n86924 100000\n41289 61877\n85237 100000\n82372 100000\n23040 34570\n68588 100000\n18320 27456\n44638 66897\n2503 3758\n83837 100000\n90252 100000\n50675 76007\n1771 2652\n66535 99804\n84332 100000\n93760 100000\n38078 57062\n29814 44701\n21527 32277\n46709 70039\n47883 71812\n22405 33628\n24743 37094\n67652 100000\n43294 64879\n36852 55268\n90946 100000\n92989 100000\n12190 18349\n27591 41364\n30033 45029\n91266 100000\n78106 100000\n24691 37015\n48481 72702\n14656 21998\n52049 78079\n15216 22840\n49153 73708\n76937 100000\n41801 62651\n2444 3669\n52294 78448\n22838 34268\n76186 100000\n74337 100000\n94682 100000\n1948 2914\n35073 52597\n93423 100000\n61189 91804\n81230 100000\n88195 100000\n68020 100000\n62619 93945\n7391 11138\n39971 59897\n60234 90378\n80216 100000\n5464 8247\n1 2\n92000 100000\n3213 4827\n49405 74095\n81757 100000\n8376 12606\n89268 100000\n82400 100000\n15962 23947\n42251 63328\n52397 78599\n91417 100000\n54311 81474\n93905 100000\n57615 86436\n49875 74804\n72131 100000\n31446 47149\n39842 59701\n64016 96046\n30641 45928\n69405 100000\n12183 18341\n22738 34114\n1347 2027\n60104 90182\n93033 100000\n29997 44976\n15128 22701\n16524 24796\n82690 100000\n55386 83064\n92087 100000\n28023 42024\n50587 75873\n75066 100000\n84379 100000\n53004 79504\n57713 86586\n69116 100000\n12686 19092\n32040 48049\n29557 44318\n34068 51092\n62255 93396\n4239 6373\n31342 46985\n98877 100000\n82983 100000\n43984 65905\n19413 29106\n2190 3281\n17943 26907\n49291 73920\n24740 37089\n79221 100000\n30384 45528\n28947 43394\n85588 100000\n25519 38255\n10183 15344\n369 539\n96161 100000\n62121 93200\n72818 100000\n64265 96414\n87920 100000\n44495 66681\n31506 47237\n90734 100000\n47947 71904\n29548 44305\n81184 100000\n30403 45556\n18855 28265\n69647 100000\n50255 75369\n93733 100000\n62886 94352\n26028 39032\n72033 100000\n58342 87530\n95166 100000\n25853 38767\n36323 54476\n1731 2599\n31368 47028\n64530 96812\n40536 60741\n64610 96928\n41476 62160\n35185 52769\n32543 48813\n31919 47855\n43275 64847\n95186 100000\n84596 100000\n37360 56012\n92693 100000\n91184 100000\n73430 100000\n36054 54063\n21467 32188\n566 851\n93835 100000\n86759 100000\n61722 92605\n86834 100000\n46481 69694\n2755 4139\n15610 23431\n99681 100000\n2551 3835\n70700 100000\n30978 46441\n64122 96204\n78516 100000\n97700 100000\n78111 100000\n51051 76597\n30936 46384\n56838 85255\n56136 84186\n6956 10496\n64003 96029\n80073 100000\n27846 41747\n16157 24242\n2252 3379\n68702 100000\n79874 100000\n46400 69575\n79450 100000\n28809 43185\n31556 47309\n12057 18151\n72874 100000\n35294 52929\n68942 100000\n1628 2444\n41982 62930\n25498 38224\n81823 100000\n13809 20735\n96137 100000\n69866 100000\n36845 55258\n24979 37448\n85707 100000\n63265 94925\n92315 100000\n90767 100000\n4186 6289\n82528 100000\n24054 36076\n62648 93990\n32816 49217\n46558 69814\n54577 81850\n10836 16320\n95313 100000\n77778 100000\n64484 96738\n65993 98984\n97115 100000\n64765 97158\n51043 76584\n4617 6945\n38629 57889\n10388 15651\n26661 39973\n80878 100000\n55802 83687\n99230 100000\n71234 100000\n69519 100000\n87363 100000\n91229 100000\n47418 71107\n73640 100000\n14046 21081\n78688 100000\n60137 90234\n47499 71237\n26944 40387\n26100 39147\n24087 36122\n29198 43773\n3292 4951\n69427 100000\n52685 79029\n41759 62591\n76158 100000\n72860 100000\n52804 79205\n65523 98284\n83752 100000\n68264 100000\n76819 100000\n38627 57887\n85914 100000\n40611 60852\n3844 5768\n63931 95921\n73620 100000\n99905 100000\n86900 100000\n8117 12223\n59206 88815\n26859 40260\n42169 63208\n27857 41764\n33446 50168\n1523 2295\n5082 7662\n65857 98773\n88065 100000\n52304 78463\n29708 44542\n19777 29654\n2777 4173\n17789 26685\n34537 51804\n4401 6624\n17245 25870\n11179 16835\n5002 7542\n91746 100000\n32471 48698\n26032 39038\n12427 18700\n89347 100000\n7086 10684\n25097 37631\n66254 99375\n19878 29809\n94329 100000\n13670 20524\n46273 69380\n56302 84445\n50434 75642\n74739 100000\n30034 45030\n42881 64246\n42864 64222\n70259 100000\n75106 100000\n59343 89030\n86771 100000\n41665 62452\n74312 100000\n82534 100000\n38498 57695\n57589 86395\n83565 100000\n72362 100000\n14749 22132\n53966 80958\n72070 100000\n25440 38137\n42793 64119\n28889 43312\n58845 88269\n81240 100000\n85653 100000\n68134 100000\n48166 72232\n98047 100000\n75767 100000\n36178 54251\n20188 30282\n66207 99305\n68925 100000\n41208 61757\n42486 63681\n83181 100000\n92894 100000\n97123 100000\n5340 8060\n51348 77048\n59232 88860\n42056 63037\n1471 2215\n53680 80533\n22906 34371\n17908 26861\n88807 100000\n17040 25565\n12283 18492\n56169 84240\n24905 37340\n43626 65365\n97899 100000\n81927 100000\n76683 100000\n6724 10158\n296 432\n61091 91656\n90101 100000\n64994 97501\n19460 29175\n62626 93956\n53075 79616\n80191 100000\n36260 54372\n93732 100000\n88087 100000\n94742 100000\n82438 100000\n52386 78582\n45380 68004\n29949 44903\n23951 35926\n39361 58965\n42424 63591\n89427 100000\n60706 91077\n32017 48015\n10679 16083\n99888 100000\n13699 20568\n94345 100000\n77595 100000\n83361 100000\n10940 16476\n10699 16113\n85111 100000\n84559 100000\n83396 100000\n83366 100000\n43994 65919\n7265 10953\n2865 4303\n25329 37970\n20979 31450\n49607 74409\n69123 100000\n39638 59380\n53048 79572\n46490 69708\n99050 100000\n83456 100000\n33058 49592\n764 1143\n15731 23607\n41985 62936\n26286 39418\n31026 46512\n6886 10398\n47574 71346\n11026 16606\n94019 100000\n54329 81502\n29465 44178\n39644 59391\n33997 50985\n39805 59644\n88691 100000\n54402 81604\n38011 56966\n48769 73141\n48161 72222\n23141 34720\n34961 52440\n33498 50246\n23031 34558\n18086 27114\n93035 100000\n59701 89574\n27412 41082\n8710 13113\n10265 15464\n69823 100000\n88686 100000\n92727 100000\n59281 88937\n77519 100000\n98784 100000\n82216 100000\n32555 48831\n86139 100000\n74383 100000\n71492 100000\n58176 87278\n85879 100000\n65963 98933\n25242 37841\n77928 100000\n54801 82174\n98547 100000\n41058 61545\n6275 9475\n11423 17198\n9918 14932\n6794 10261\n45789 68633\n37300 55928\n73101 100000\n23475 35220\n29190 43764\n10615 15987\n69881 100000\n97789 100000\n60420 90648\n22369 33573\n36853 55270\n90388 100000\n57620 86444\n70058 100000\n19621 29422\n38513 57719\n49929 74880\n13303 19990\n46489 69706\n11043 16634\n59389 89100\n69956 100000\n99391 100000\n66875 100000\n48405 72585\n87369 100000\n56242 84350\n41781 62624\n44400 66532\n72489 100000\n47885 71816\n75685 100000\n58221 87349\n91153 100000\n77373 100000\n96425 100000\n83137 100000\n52395 78596\n40623 60871\n75473 100000\n240 353\n72953 100000\n38563 57791\n80962 100000\n52043 78069\n68840 100000\n18170 27233\n33645 50462\n93884 100000\n57375 86079\n7497 11300\n44247 66300\n1262 1899\n21954 32946\n82377 100000\n33911 50851\n12361 18603\n97206 100000\n73577 100000\n18538 27782\n53903 80865\n68669 100000\n41301 61892\n37913 56820\n29419 44112\n97044 100000\n74796 100000\n10190 15355\n87808 100000\n22522 33797\n7066 10655\n31547 47296\n5737 8649\n46076 69073\n16460 24704\n62488 93745\n39106 58583\n33190 49788\n17223 25837\n31935 47879\n47592 71373\n52412 78625\n17453 26183\n28017 42014\n1533 2308\n66252 99371\n35390 53076\n95572 100000\n9997 15062\n54800 82173\n32038 48045\n1051 1579\n37824 56687\n85135 100000\n17017 25527\n89115 100000\n6706 10130\n64050 96098\n84590 100000\n27266 40871\n81179 100000\n51358 77060\n91888 100000\n31277 46888\n93674 100000\n78478 100000\n30023 45012\n42540 63756\n36717 55067\n43244 64800\n85966 100000\n23929 35894\n17208 25816\n11911 17920\n57284 85939\n70167 100000\n27905 41837\n28463 42668\n78481 100000\n7380 11121\n16422 24649\n4021 6034\n22098 33164\n42841 64189\n62616 93939\n63234 94883\n69248 100000\n24594 36868\n69428 100000\n26998 40464\n7574 11415\n71225 100000\n10375 15628\n14053 21092\n16745 25121\n19083 28617\n73593 100000\n91012 100000\n96727 100000\n65735 98599\n27464 41163\n90084 100000\n84415 100000\n24614 36898\n39619 59354\n50367 75540\n92647 100000\n65252 97880\n28858 43266\n92786 100000\n81337 100000\n93954 100000\n23815 35720\n93865 100000\n78178 100000\n30577 45837\n8291 12472\n12599 18959\n68375 100000\n59737 89630\n43402 65031\n95505 100000\n58317 87493\n53304 79958\n56881 85324\n59705 89580\n51810 77718\n76778 100000\n9785 14726\n68336 100000\n12633 19009\n9600 14438\n93618 100000\n49359 74027\n59081 88625\n98474 100000\n85113 100000\n99990 100000\n90437 100000\n31164 46715\n58654 87988\n33709 50557\n88933 100000\n44281 66354\n395 581\n2591 3894\n76187 100000\n28288 42408\n75849 100000\n92259 100000\n35172 52748\n43787 65607\n58440 87672\n72719 100000\n6021 9094\n70988 100000\n40205 60247\n40899 61297\n99921 100000\n92752 100000\n31359 47011\n61241 91880\n93919 100000\n28434 42623\n6890 10403\n4273 6426\n76045 100000\n2035 3046\n94633 100000\n85939 100000\n88314 100000\n77494 100000\n44601 66844\n29683 44506\n28812 43189\n80166 100000\n8174 12309\n46241 69325\n10572 15919\n46090 69094\n40106 60100\n90606 100000\n46369 69530\n57674 86523\n91314 100000\n50594 75884\n6490 9803\n84584 100000\n13835 20772\n8883 13362\n94551 100000\n91661 100000\n58425 87648\n26254 39375\n70013 100000\n16050 24083\n27630 41423\n59478 89228\n13117 19725\n81529 100000\n47924 71871\n32058 48077\n79659 100000\n8928 13431\n52951 79422\n44259 66317\n15398 23108\n49995 74985\n56534 84793\n51272 76928\n17753 26630\n94597 100000\n36588 54873\n84650 100000\n84344 100000\n92132 100000\n12998 19544\n59761 89667\n52470 78707\n51635 77467\n58572 87866\n55119 82652\n7360 11094\n98051 100000\n97919 100000\n18448 27641\n39974 59900\n91881 100000\n7480 11274\n37126 55665\n3658 5492\n4752 7160\n50547 75813\n43528 65220\n9619 14468\n93576 100000\n73175 100000\n60878 91333\n10539 15865\n54894 82314\n86660 100000\n96421 100000\n88869 100000\n60981 91490\n94491 100000\n40630 60882\n43406 65038\n81974 100000\n84073 100000\n42191 63240\n9604 14445\n48126 72166\n38946 58351\n48214 72304\n27881 41800\n36174 54245\n16647 24978\n3055 4593\n33360 50033\n62647 93988\n47616 71411\n29361 44019\n55340 82990\n51891 77839\n20031 30042\n2607 3913\n44348 66452\n45812 68664\n21270 31889\n46116 69131\n80603 100000\n72900 100000\n64921 97391\n26131 39194\n46744 70097\n275 403\n79785 100000\n56450 84663\n47011 70504\n98737 100000\n38863 58227\n18925 28368\n99843 100000\n8348 12559\n17084 25633\n77849 100000\n17835 26754\n81732 100000\n21528 32279\n65863 98781\n76809 100000\n83005 100000\n21061 31577\n45060 67520\n14388 21600\n16732 25102\n5032 7586\n97866 100000\n48770 73142\n30542 45781\n86065 100000\n85636 100000\n37609 56371\n19840 29747\n71884 100000\n70813 100000\n74191 100000\n19739 29602\n47050 70558\n34358 51528\n54579 81853\n25177 37747\n69986 100000\n67477 100000\n93972 100000\n9797 14744\n61594 92412\n59917 89897\n59851 89802\n9337 14043\n75706 100000\n48201 72282\n40541 60747\n33154 49737\n17654 26483\n78196 100000\n93105 100000\n41727 62546\n20967 31430\n21369 32039\n78834 100000\n42331 63450\n84233 100000\n59855 89808\n15196 22806\n87333 100000\n51339 77032\n23365 35060\n1200 1810\n81191 100000\n63256 94910\n48552 72816\n80481 100000\n24366 36531\n4958 7479\n73589 100000\n46244 69331\n8140 12255\n48443 72645\n6062 9157\n61911 92887\n58823 88236\n25835 38744\n93489 100000\n4653 7004\n42865 64223\n58090 87151\n72878 100000\n39465 59121\n52038 78062\n76289 100000\n73387 100000\n88098 100000\n62917 94402\n33401 50097\n41315 61911\n9271 13946\n81287 100000\n77246 100000\n21271 31890\n70452 100000\n14381 21587\n15575 23378\n7576 11417\n31376 47039\n13953 20947\n56139 84191\n67175 100000\n17423 26138\n69102 100000\n74613 100000\n68292 100000\n71367 100000\n82865 100000\n92783 100000\n50609 75904\n40469 60641\n23220 34839\n73034 100000\n97581 100000\n23078 34628\n11283 16990\n43732 65526\n85507 100000\n38144 57158\n60202 90332\n19570 29343\n94395 100000\n95053 100000\n29779 44653\n68887 100000\n9791 14734\n31098 46618\n66866 100000\n7560 11397\n92287 100000\n62551 93837\n18467 27673\n10745 16185\n38100 57093\n605 907\n29901 44829\n56912 85370\n93585 100000\n48615 72917\n40001 59942\n15153 22740\n26231 39338\n79635 100000\n99694 100000\n6624 10004\n45894 68788\n15950 23930\n30233 45311\n63074 94646\n63594 95409\n91992 100000\n13710 20585\n27553 41303\n67486 100000\n17157 25742\n67414 100000\n58577 87872\n41382 62013\n89851 100000\n62441 93675\n71709 100000\n24319 36466\n41254 61825\n12910 19410\n87978 100000\n519 775\n65591 98388\n70968 100000\n33220 49831\n57783 86687\n93185 100000\n23422 35135\n83458 100000\n57326 86004\n15043 22569\n94427 100000\n79284 100000\n14123 21196\n63632 95466\n82279 100000\n17298 25954\n2414 3624\n27645 41444\n98172 100000\n13965 20964\n89783 100000\n98780 100000\n95420 100000\n61353 92053\n76123 100000\n82557 100000\n20776 31150\n63544 95338\n52711 79070\n14695 22053\n74399 100000\n43330 64930\n21038 31539\n87725 100000\n78584 100000\n59443 89178\n93826 100000\n80302 100000\n11415 17186\n23658 35494\n40672 60943\n272 399\n93608 100000\n62892 94361\n41018 61483\n80639 100000\n79104 100000\n93252 100000\n70954 100000\n50818 76233\n19468 29186\n49839 74745\n86779 100000\n10127 15261\n46582 69847\n45495 68170\n67432 100000\n75311 100000\n73096 100000\n91159 100000\n65558 98335\n14072 21118\n37073 55588\n57147 85730\n9686 14567\n16482 24736\n65762 98637\n91203 100000\n84468 100000\n192 284\n95935 100000\n49424 74124\n91602 100000\n78498 100000\n37706 56513\n89318 100000\n79414 100000\n80793 100000\n58134 87218\n47118 70655\n52755 79130\n53001 79498\n23546 35322\n72320 100000\n48703 73047\n646 967\n8586 12933\n77163 100000\n41957 62890\n59059 88595\n49501 74242\n40544 60752\n38613 57867\n18143 27194\n59752 89654\n48 73\n58138 87225\n10167 15320\n71210 100000\n30848 46246\n9535 14344\n1682 2529\n13659 20508\n6494 9809\n7291 10991\n68791 100000\n19510 29250\n87373 100000\n61281 91938\n73741 100000\n89717 100000\n11324 17047\n7353 11082\n92505 100000\n95617 100000\n73684 100000\n52006 78016\n13513 20292\n30141 45179\n19747 29615\n72247 100000\n41979 62926\n3303 4968\n24839 37239\n77372 100000\n31772 47634\n46564 69821\n14721 22089\n73050 100000\n90569 100000\n60594 90908\n15234 22866\n60316 90495\n23062 34604\n27150 40698\n99069 100000\n10303 15518\n39595 59318\n57973 86973\n81576 100000\n8500 12799\n78751 100000\n55531 83281\n79733 100000\n49474 74198\n16813 25214\n30420 45582\n68333 100000\n55899 83833\n45733 68550\n39003 58435\n91832 100000\n98719 100000\n28634 42922\n77890 100000\n42238 63307\n74549 100000\n61124 91707\n78604 100000\n32862 49285\n44760 67076\n66583 99879\n73356 100000\n55866 83785\n34224 51323\n58173 87273\n94465 100000\n11800 17748\n87719 100000\n87114 100000\n90064 100000\n7941 11970\n70181 100000\n42242 63314\n65974 98952\n77806 100000\n95213 100000\n46461 69667\n40845 61211\n9945 14979\n39871 59748\n85164 100000\n27525 41263\n78929 100000\n33070 49611\n91068 100000\n31328 46965\n57317 85990\n87257 100000\n10284 15491\n71863 100000\n1579 2373\n35148 52711\n93588 100000\n1207 1817\n45919 68828\n16293 24450\n53633 80465\n92406 100000\n91447 100000\n79127 100000\n52184 78284\n12489 18796\n87546 100000\n80870 100000\n47802 71693\n38638 57899\n74557 100000\n84035 100000\n67925 100000\n19803 29694\n29070 43581\n30706 46026\n99721 100000\n53992 81000\n13240 19900\n78448 100000\n30968 46427\n83721 100000\n18350 27498\n83604 100000\n92997 100000\n45204 67741\n47612 71404\n34266 51382\n97467 100000\n51321 77002\n84450 100000\n23892 35833\n16141 24215\n93380 100000\n21792 32698\n51590 77396\n56600 84900\n31557 47311\n87384 100000\n43204 64736\n41092 61595\n40558 60774\n47983 71953\n67676 100000\n28045 42056\n69658 100000\n62263 93407\n89456 100000\n55004 82470\n56130 84177\n94862 100000\n17426 26142\n37998 56948\n89028 100000\n16020 24035\n61240 91879\n3678 5522\n13409 20150\n45985 68931\n65844 98755\n36985 55462\n83594 100000\n6169 9315\n51003 76527\n75186 100000\n52846 79267\n24736 37084\n10227 15410\n92717 100000\n79510 100000\n75908 100000\n79537 100000\n57667 86513\n93184 100000\n82424 100000\n57838 86765\n19196 28788\n64027 96062\n97963 100000\n91372 100000\n36855 55273\n63776 95684\n827 1242\n43865 65724\n49029 73529\n88367 100000\n72739 100000\n81669 100000\n74029 100000\n12112 18230\n44257 66313\n36573 54852\n88397 100000\n26537 39785\n94718 100000\n1988 2977\n50820 76237\n71949 100000\n65951 98916\n32956 49431\n80318 100000\n83996 100000\n10806 16278\n78422 100000\n75794 100000\n84680 100000\n66088 99134\n64197 96312\n78734 100000\n63585 95394\n85423 100000\n41322 61924\n75035 100000\n18715 28060\n35383 53067\n12843 19319\n85511 100000\n54999 82462\n71929 100000\n73692 100000\n58743 88120\n97678 100000\n24456 36669\n91359 100000\n33899 50834\n63113 94708\n56774 85159\n38780 58101\n54808 82184\n21700 32552\n77824 100000\n63780 95690\n81222 100000\n98240 100000\n30628 45911\n4497 6766\n59587 89401\n67297 100000\n82207 100000\n56477 84706\n88229 100000\n56852 85279\n12752 19191\n58023 87050\n34654 51980\n76147 100000\n69330 100000\n82554 100000\n95770 100000\n97290 100000\n63067 94635\n19616 29416\n62433 93664\n42918 64303\n96589 100000\n48074 72093\n90425 100000\n26923 40355\n43798 65624\n62065 93112\n31580 47344\n80657 100000\n18535 27779\n41940 62863\n59617 89449\n80385 100000\n32153 48214\n21581 32356\n36423 54624\n22220 33359\n61104 91675\n32266 48383\n68291 100000\n93290 100000\n16622 24940\n12987 19525\n12570 18919\n55594 83375\n20055 30079\n50065 75085\n1584 2379\n55952 83915\n19399 29081\n99666 100000\n4048 6076\n87158 100000\n42747 64050\n55063 82564\n79178 100000\n76328 100000\n327 477\n38360 57486\n81028 100000\n18281 27394\n57073 85618\n67799 100000\n41069 61561\n64454 96699\n34003 50993\n1205 1815\n56178 84256\n17545 26322\n86698 100000\n11935 17957\n84301 100000\n62462 93705\n97942 100000\n33681 50515\n5195 7840\n916 1375\n65395 98092\n21667 32499\n73671 100000\n74050 100000\n65563 98343\n34418 51618\n87871 100000\n40239 60298\n12019 18089\n25758 38624\n8714 13118\n75283 100000\n71451 100000\n7930 11954\n31400 47075\n84691 100000\n14934 22404\n62408 93627\n42816 64149\n2787 4189\n48586 72870\n3878 5820\n21727 32591\n8903 13396\n14753 22139\n96501 100000\n33124 49693\n1167 1760\n60726 91104\n94666 100000\n66663 100000\n6738 10178\n29266 43880\n99467 100000\n87040 100000\n9321 14022\n22643 33973\n8709 13112\n89378 100000\n79844 100000\n34758 52136\n77943 100000\n15697 23559\n73069 100000\n57780 86683\n27417 41091\n68999 100000\n78145 100000\n23502 35261\n10470 15765\n42177 63218\n49969 74943\n31087 46601\n7671 11563\n91311 100000\n93490 100000\n66297 99442\n71151 100000\n83304 100000\n69766 100000\n77081 100000\n23120 34688\n75970 100000\n80140 100000\n11734 17658\n53829 80752\n81975 100000\n77288 100000\n73980 100000\n96716 100000\n64098 96168\n53609 80427\n48720 73069\n29697 44527\n76504 100000\n65033 97560\n93473 100000\n10437 15719\n24805 37189\n54204 81310\n25622 38418\n93038 100000\n15249 22888\n3081 4630\n68010 100000\n72134 100000\n81041 100000\n18876 28294\n51575 77375\n53704 80570\n17865 26801\n5982 9038\n24513 36751\n60177 90296\n33131 49703\n98860 100000\n54618 81912\n83322 100000\n39606 59335\n20391 30575\n70505 100000\n1041 1564\n30446 45628\n21096 31627\n22752 34136\n67168 100000\n48091 72119\n60531 90819\n58738 88113\n14120 21192\n2883 4333\n16063 24104\n96167 100000\n15129 22702\n50538 75800\n75605 100000\n20896 31324\n78235 100000\n71798 100000\n86318 100000\n65624 98436\n37290 55914\n84069 100000\n22067 33118\n55564 83329\n23389 35092\n13779 20686\n61173 91782\n17209 25817\n90820 100000\n34980 52466\n75377 100000\n22785 34187\n11405 17171\n48253 72364\n64612 96931\n46412 69594\n53850 80785\n41339 61949\n29614 44399\n72516 100000\n75211 100000\n20672 31000\n12677 19079\n21138 31691\n91043 100000\n23433 35154\n81544 100000\n67387 100000\n70506 100000\n64148 96240\n69047 100000\n88257 100000\n59131 88701\n84903 100000\n75214 100000\n7843 11823\n45799 68645\n41900 62806\n32651 48970\n63824 95757\n65982 98966\n66698 100000\n21959 32954\n32804 49202\n3994 5997\n36364 54534\n88385 100000\n78192 100000\n4920 7417\n84187 100000\n22028 33063\n32318 48467\n43337 64940\n91454 100000\n73764 100000\n66882 100000\n86481 100000\n90157 100000\n67274 100000\n26362 39532\n93036 100000\n60244 90392\n60260 90415\n69192 100000\n69671 100000\n55464 83182\n30334 45458\n29938 44888\n67833 100000\n58346 87537\n81074 100000\n88040 100000\n84387 100000\n18013 27008\n75965 100000\n17723 26584\n73246 100000\n23202 34811\n77977 100000\n84202 100000\n43208 64744\n64804 97212\n63019 94560\n98739 100000\n37618 56387\n68081 100000\n16927 25381\n48321 72464\n63344 95039\n12018 18087\n83674 100000\n91243 100000\n99156 100000\n19251 28865\n55597 83380\n61903 92874\n78976 100000\n39059 58515\n12053 18144\n4918 7414\n14933 22403\n21359 32023\n76713 100000\n66202 99296\n12563 18907\n43128 64622\n10712 16136\n16288 24442\n7988 12036\n96723 100000\n45030 67471\n9662 14532\n66382 99575\n24738 37087\n72734 100000\n68471 100000\n25755 38619\n88849 100000\n66509 99765\n45444 68096\n48276 72396\n65364 98046\n84937 100000\n63774 95682\n80508 100000\n43254 64814\n46891 70319\n96738 100000\n80676 100000\n95973 100000\n26318 39468\n90270 100000\n48208 72295\n78523 100000\n95803 100000\n73043 100000\n79136 100000\n31314 46945\n35909 53845\n2285 3431\n96017 100000\n93247 100000\n34375 51555\n49349 74009\n52618 78935\n209 309\n55369 83036\n922 1383\n53362 80035\n18873 28290\n97675 100000\n51735 77610\n79285 100000\n93987 100000\n65376 98062\n52522 78784\n5777 8712\n23368 35064\n60178 90297\n7325 11040\n88029 100000\n3754 5632\n58907 88356\n85393 100000\n42546 63765\n21285 31908\n36237 54336\n98489 100000\n65652 98478\n34293 51423\n9253 13919\n82267 100000\n71631 100000\n42342 63466\n94555 100000\n36582 54865\n62656 94002\n81353 100000\n45475 68142\n74455 100000\n10574 15923\n16429 24658\n53927 80901\n20427 30624\n63396 95119\n45536 68236\n31667 47476\n83533 100000\n26471 39689\n34682 52026\n14609 21927\n33096 49652\n83706 100000\n48610 72908\n81288 100000\n68265 100000\n9992 15055\n45489 68160\n44742 67048\n70528 100000\n90047 100000\n20193 30289\n54146 81228\n8330 12533\n43448 65102\n80093 100000\n93632 100000\n97400 100000\n5346 8069\n67187 100000\n8318 12514\n63775 95683\n82967 100000\n82389 100000\n3861 5793\n29039 43538\n66635 99956\n32953 49427\n53329 79991\n84386 100000\n36104 54139\n76831 100000\n8789 13228\n86102 100000\n58826 88241\n5638 8503\n34240 51346\n91698 100000\n5085 7667\n56441 84648\n33823 50727\n89594 100000\n86887 100000\n48599 72890\n36611 54908\n74480 100000\n80066 100000\n44068 66031\n92977 100000\n4170 6263\n31608 47387\n65717 98573\n4986 7518\n86071 100000\n58345 87535\n38548 57768\n7714 11630\n25146 37702\n11628 17505\n69009 100000\n60586 90899\n66818 100000\n69528 100000\n11906 17911\n25103 37642\n77893 100000\n96155 100000\n43844 65695\n91194 100000\n1101 1656\n81117 100000\n5686 8574\n70266 100000\n70374 100000\n63021 94564\n50062 75082\n59515 89290\n11917 17930\n55124 82660\n25428 38121\n86852 100000\n12698 19111\n52624 78944\n80316 100000\n31063 46567\n64053 96102\n74041 100000\n10043 15132\n96596 100000\n12853 19330\n62384 93592\n46109 69121\n91244 100000\n57165 85757\n88011 100000\n64613 96932\n42637 63901\n451 670\n87295 100000\n65391 98085\n3567 5356\n10638 16022\n8496 12794\n75994 100000\n62877 94337\n14263 21400\n95324 100000\n4913 7406\n55231 82817\n9678 14555\n42400 63554\n79411 100000\n72103 100000\n65548 98321\n3001 4510\n62030 93059\n6777 10235\n11264 16961\n15287 22944\n27624 41414\n82875 100000\n47580 71355\n86744 100000\n5489 8280\n55563 83328\n20685 31018\n18680 28003\n69297 100000\n7523 11336\n52183 78282\n88518 100000\n43088 64561\n62487 93743\n15897 23850\n59080 88624\n1687 2536\n41381 62012\n6848 10339\n9083 13670\n9663 14534\n69041 100000\n94352 100000\n16340 24529\n38020 56979\n96520 100000\n85459 100000\n78790 100000\n20792 31173\n42004 62962\n23169 34759\n64892 97348\n13630 20464\n94304 100000\n58107 87180\n36113 54155\n44324 66418\n56056 84069\n41479 62165\n87782 100000\n39284 58849\n32826 49232\n889 1332\n29492 44219\n54921 82354\n62797 94211\n48570 72844\n4041 6066\n40901 61300\n66807 100000\n15185 22788\n93288 100000\n47709 71553\n1349 2031\n68951 100000\n9015 13564\n23553 35332\n94587 100000\n23323 34998\n16614 24927\n3539 5312\n69499 100000\n43629 65370\n65370 98055\n22026 33060\n52327 78497\n8364 12587\n55468 83189\n82256 100000\n66824 100000\n20952 31411\n14325 21503\n10676 16080\n12626 19000\n50657 75977\n53839 80770\n44087 66063\n6290 9502\n38013 56968\n46540 69788\n33928 50875\n75388 100000\n78452 100000\n55104 82628\n59983 89999\n76272 100000\n74666 100000\n8250 12413\n45607 68348\n93227 100000\n7821 11788\n67443 100000\n2713 4079\n29343 43994\n72786 100000\n41158 61687\n24177 36257\n66862 100000\n136 203\n41835 62703\n13888 20855\n58175 87276\n65504 98254\n50692 76036\n36831 55239\n21175 31749\n79421 100000\n80268 100000\n20364 30533\n99591 100000\n70237 100000\n31038 46527\n20453 30665\n13344 20053\n67267 100000\n85835 100000\n57304 85970\n35155 52723\n46881 70304\n22228 33371\n14815 22231\n39549 59247\n90179 100000\n31929 47869\n55059 82558\n88219 100000\n77629 100000\n39307 58883\n98011 100000\n49525 74280\n5630 8491\n72476 100000\n27233 40816\n82710 100000\n92201 100000\n45580 68304\n14839 22266\n95361 100000\n82986 100000\n23773 35661\n42534 63748\n8736 13149\n75568 100000\n21445 32157\n84134 100000\n67336 100000\n55051 82542\n23407 35117\n26813 40193\n51622 77444\n81802 100000\n31682 47498\n15440 23171\n2087 3129\n41860 62741\n56119 84160\n41849 62723\n23388 35090\n68649 100000\n29008 43489\n16780 25167\n30121 45152\n85151 100000\n93448 100000\n29208 43787\n66718 100000\n70307 100000\n28852 43256\n59050 88578\n94565 100000\n93141 100000\n8028 12093\n58284 87443\n63134 94741\n7405 11160\n47913 71852\n50360 75529\n22366 33569\n38953 58362\n80255 100000\n70206 100000\n89260 100000\n15430 23158\n38439 57608\n18461 27663\n21791 32696\n76784 100000\n41245 61814\n27407 41074\n69574 100000\n59520 89298\n82664 100000\n39741 59540\n54045 81080\n82639 100000\n72673 100000\n49469 74190\n85962 100000\n74755 100000\n13470 20235\n71036 100000\n15262 22907\n7340 11062\n79633 100000\n32893 49334\n64757 97148\n67060 100000\n2526 3795\n37121 55657\n97073 100000\n20291 30430\n50455 75674\n68836 100000\n10985 16544\n73603 100000\n36893 55327\n40334 60440\n22208 33339\n86384 100000\n4654 7006\n40375 60502\n5279 7967\n61265 91914\n16344 24534\n87515 100000\n79900 100000\n99351 100000\n25079 37603\n96527 100000\n43467 65130\n62176 93276\n22840 34271\n99027 100000\n78484 100000\n52929 79391\n49325 73973\n18727 28078\n78647 100000\n97460 100000\n90968 100000\n26772 40134\n8744 13159\n56049 84060\n12891 19383\n56903 85356\n25641 38447\n84986 100000\n56819 85227\n39937 59847\n51829 77749\n52446 78674\n78211 100000\n27069 40574\n87124 100000\n18101 27134\n4594 6913\n18072 27093\n13002 19549\n14405 21622\n50567 75844\n53581 80385\n1157 1747\n54276 81420\n64961 97450\n67752 100000\n38397 57543\n46168 69210\n55011 82483\n69526 100000\n49145 73696\n15032 22553\n37242 55834\n44962 67372\n15215 22838\n48107 72139\n8339 12546\n66109 99164\n63818 95749\n35351 53011\n25827 38730\n3541 5314\n78409 100000\n69558 100000\n5310 8014\n84350 100000\n33649 50468\n83788 100000\n62719 94093\n14678 22030\n22539 33821\n51528 77299\n26713 40052\n46552 69806\n27867 41779\n71903 100000\n66290 99432\n424 626\n37547 56285\n8820 13272\n65582 98374\n37409 56085\n89380 100000\n60066 90125\n4042 6068\n24983 37454\n12373 18619\n97244 100000\n69426 100000\n4841 7298\n21191 31771\n99738 100000\n86696 100000\n93848 100000\n83336 100000\n47755 71621\n10547 15877\n43752 65555\n3866 5801\n50927 76406\n33011 49519\n77043 100000\n45496 68172\n23931 35898\n69880 100000\n27602 41380\n16894 25337\n44420 66566\n47549 71312\n54112 81180\n94180 100000\n91908 100000\n91463 100000\n68123 100000\n92822 100000\n37294 55919\n8670 13052\n64789 97189\n32253 48364\n2240 3361\n36133 54185\n28467 42674\n8214 12363\n23043 34575\n41594 62344\n12239 18426\n93927 100000\n63793 95711\n50926 76405\n62503 93765\n20983 31455\n56846 85268\n24576 36844\n77819 100000\n77549 100000\n39296 58868\n47187 70759\n74400 100000\n84759 100000\n1360 2047\n79408 100000\n81027 100000\n11534 17362\n93245 100000\n6478 9783\n60857 91299\n34589 51883\n45991 68940\n28022 42022\n21027 31521\n76935 100000\n95614 100000\n59934 89925\n79782 100000\n12986 19523\n70366 100000\n65766 98641\n37852 56733\n11907 17912\n83066 100000\n47528 71277\n30662 45961\n41810 62664\n15408 23127\n45813 68665\n18138 27188\n60692 91056\n41606 62364\n97688 100000\n18822 28216\n38947 58353\n24150 36216\n71095 100000\n89435 100000\n82446 100000\n19424 29120\n11783 17722\n13222 19874\n70111 100000\n35032 52538\n56374 84547\n47339 70992\n90089 100000\n53339 80005\n78387 100000\n34056 51074\n74514 100000\n44657 66926\n60906 91377\n26403 39596\n94113 100000\n57751 86641\n73377 100000\n8964 13484\n76087 100000\n73159 100000\n75496 100000\n97893 100000\n77182 100000\n86343 100000\n29766 44633\n45622 68377\n63325 95011\n34007 50998\n41748 62576\n44393 66519\n13673 20527\n21510 32253\n8215 12365\n38651 57915\n43807 65637\n57502 86266\n98714 100000\n64120 96201\n44906 67289\n22351 33547\n56900 85352\n79180 100000\n6233 9413\n66543 99816\n76260 100000\n1615 2423\n24179 36261\n38516 57724\n6758 10204\n33753 50621\n17972 26945\n32648 48964\n39965 59890\n28319 42453\n37439 56125\n30648 45938\n53204 79815\n38663 57932\n74598 100000\n49808 74701\n66375 99564\n56333 84491\n70215 100000\n92817 100000\n70291 100000\n60811 91221\n78390 100000\n57945 86930\n91085 100000\n5289 7981\n72898 100000\n5335 8054\n69859 100000\n2167 3249\n62373 93575\n65768 98645\n16139 24212\n13702 20574\n71268 100000\n33424 50135\n95813 100000\n22992 34501\n58191 87301\n74463 100000\n95915 100000\n2433 3652\n97126 100000\n67993 100000\n75746 100000\n10727 16159\n28091 42117\n76578 100000\n86454 100000\n25615 38406\n83748 100000\n86211 100000\n51241 76883\n49310 73951\n98249 100000\n96767 100000\n2360 3550\n90537 100000\n58235 87369\n94758 100000\n68168 100000\n97923 100000\n2812 4225\n60944 91434\n26441 39648\n23107 34669\n95189 100000\n72723 100000\n52611 78923\n40713 61005\n6507 9831\n97855 100000\n47655 71473\n74407 100000\n43906 65790\n30272 45370\n7964 12004\n51005 76531\n98481 100000\n98337 100000\n51874 77813\n50470 75696\n77870 100000\n55018 82495\n97767 100000\n72425 100000\n36876 55301\n28052 42066\n10495 15801\n91074 100000\n40567 60785\n6983 10537\n85388 100000\n36432 54637\n85755 100000\n98729 100000\n82318 100000\n30294 45400\n59969 89978\n91615 100000\n56663 84994\n71253 100000\n57043 85571\n71489 100000\n25523 38261\n82996 100000\n85447 100000\n99761 100000\n40594 60828\n23111 34675\n2845 4274\n11408 17176\n52780 79166\n66161 99239\n81496 100000\n78951 100000\n94348 100000\n96602 100000\n71021 100000\n94216 100000\n14806 22218\n33439 50158\n48755 73121\n50906 76372\n9395 14131\n83362 100000\n12331 18559\n67675 100000\n62983 94507\n53548 80329\n27074 40580\n61315 91991\n70305 100000\n65772 98652\n58626 87946\n63154 94772\n96626 100000\n97257 100000\n81536 100000\n31972 47939\n25580 38346\n33562 50337\n32838 49249\n7737 11667\n31524 47261\n22761 34150\n76904 100000\n85170 100000\n2878 4325\n99698 100000\n97477 100000\n79072 100000\n66753 100000\n34905 52353\n35016 52516\n16955 25431\n36841 55252\n11620 17494\n56313 84461\n63328 95016\n27346 40986\n62238 93370\n20179 30267\n88073 100000\n1877 2811\n97370 100000\n59943 89939\n55801 83685\n25869 38791\n97217 100000\n27979 41951\n66636 99958\n9055 13626\n13119 19727\n26533 39780\n42846 64196\n14239 21365\n60462 90712\n42118 63132\n26641 39943\n7853 11837\n32753 49123\n26274 39402\n82552 100000\n45012 67445\n7699 11606\n97708 100000\n73631 100000\n39814 59656\n76728 100000\n62346 93534\n64785 97182\n78595 100000\n12504 18819\n79128 100000\n32014 48009\n66801 100000\n21416 32112\n59341 89027\n10385 15646\n42505 63709\n53292 79941\n64101 96173\n18959 28423\n11463 17261\n49828 74730\n88184 100000\n75851 100000\n7346 11070\n12859 19337\n88918 100000\n67736 100000\n53793 80703\n9530 14337\n94568 100000\n83574 100000\n12220 18395\n71717 100000\n88477 100000\n2114 3170\n58679 88025\n87414 100000\n84948 100000\n53843 80778\n882 1322\n31646 47446\n29511 44249\n48465 72678\n45360 67973\n65562 98341\n1639 2461\n35806 53692\n31369 47030\n81925 100000\n47503 71243\n78025 100000\n67344 100000\n95602 100000\n78019 100000\n73262 100000\n65411 98118\n61325 92006\n95012 100000\n17447 26174\n28734 43073\n17867 26805\n59780 89697\n46204 69262\n42373 63514\n53826 80747\n15044 22571\n44667 66941\n36295 54430\n30685 45997\n23557 35338\n64944 97425\n97971 100000\n83287 100000\n12097 18205\n13176 19807\n82162 100000\n751 1123\n25801 38687\n79876 100000\n50724 76090\n9174 13801\n29675 44493\n20352 30514\n62934 94428\n27379 41034\n90939 100000\n20543 30807\n89326 100000\n31526 47264\n68563 100000\n26224 39327\n54352 81536\n1521 2291\n2435 3655\n7579 11421\n79536 100000\n23726 35595\n76489 100000\n72964 100000\n89065 100000\n46895 70326\n19831 29734\n91313 100000\n14401 21617\n84048 100000\n87891 100000\n74553 100000\n17638 26458\n71501 100000\n61138 91729\n77559 100000\n49880 74810\n59643 89486\n87723 100000\n86829 100000\n59412 89132\n80167 100000\n76160 100000\n99576 100000\n73001 100000\n8121 12228\n55734 83580\n62474 93724\n94405 100000\n52419 78636\n20290 30429\n1685 2534\n40644 60901\n15985 23984\n93425 100000\n46824 70217\n47209 70795\n38901 58286\n67463 100000\n30226 45300\n25430 38125\n6881 10391\n23598 35405\n2650 3980\n86977 100000\n66450 99676\n60617 90942\n19727 29585\n88089 100000\n57944 86929\n37317 55952\n77410 100000\n97076 100000\n82473 100000\n78983 100000\n89551 100000\n32049 48063\n13069 19651\n15795 23697\n2914 4380\n89892 100000\n72158 100000\n29473 44190\n60868 91316\n86366 100000\n86855 100000\n50831 76255\n73564 100000\n84395 100000\n3577 5373\n20947 31403\n85852 100000\n41036 61511\n85854 100000\n51884 77828\n70213 100000\n17916 26871\n83950 100000\n7948 11980\n80753 100000\n11549 17387\n24909 37345\n99711 100000\n79806 100000\n9700 14589\n11361 17104\n71088 100000\n88206 100000\n55556 83318\n12622 18994\n79378 100000\n96814 100000\n96881 100000\n63472 95235\n79326 100000\n635 951\n7979 12024\n83683 100000\n21620 32422\n22476 33734\n81603 100000\n57621 86446\n40862 61234\n52583 78880\n56839 85256\n42423 63589\n13041 19611\n71320 100000\n89982 100000\n9817 14775\n65334 97999\n22512 33783\n22610 33926\n35540 53295\n2018 3020\n67430 100000\n46479 69692\n54757 82114\n34319 51464\n90379 100000\n75672 100000\n51469 77213\n2590 3892\n89561 100000\n74380 100000\n39794 59627\n86341 100000\n57561 86354\n23845 35760\n71690 100000\n11365 17111\n61710 92583\n72897 100000\n6590 9954\n39833 59687\n52940 79406\n22616 33933\n57196 85804\n77981 100000\n67476 100000\n11712 17623\n65136 97713\n63263 94922\n69162 100000\n8407 12656\n62229 93358\n67987 100000\n99976 100000\n78354 100000\n339 495\n90731 100000\n88886 100000\n82676 100000\n57401 86119\n76877 100000\n79477 100000\n35329 52978\n28202 42277\n99434 100000\n9648 14512\n65801 98694\n25993 38982\n57334 86015\n98828 100000\n68235 100000\n99327 100000\n73376 100000\n812 1219\n689 1027\n75634 100000\n90726 100000\n44093 66072\n78423 100000\n20971 31436\n8 12\n46769 70134\n79024 100000\n79242 100000\n58938 88408\n86063 100000\n78524 100000\n72955 100000\n40983 61426\n41394 62032\n72406 100000\n20517 30766\n56628 84942\n26607 39888\n56438 84642\n55688 83514\n35618 53414\n40009 59952\n54831 82223\n3939 5916\n83979 100000\n90575 100000\n26704 40038\n87582 100000\n19300 28940\n31558 47312\n64240 96376\n15280 22933\n27470 41172\n83879 100000\n53062 79593\n39798 59633\n3068 4611\n82324 100000\n20580 30871\n18060 27076\n76744 100000\n22513 33784\n12336 18568\n70229 100000\n87497 100000\n48054 72062\n94741 100000\n39247 58798\n58070 87120\n97864 100000\n11457 17254\n92199 100000\n10002 15069\n54342 81523\n4020 6033\n46736 70083\n85169 100000\n88414 100000\n28240 42335\n56057 84070\n45480 68147\n21976 32978\n60627 90955\n25484 38204\n8676 13062\n19290 28923\n34743 52115\n155 234\n24719 37058\n86105 100000\n79850 100000\n69871 100000\n46723 70062\n87391 100000\n79026 100000\n3926 5898\n66040 99057\n37638 56415\n82606 100000\n95612 100000\n53161 79747\n53220 79839\n96490 100000\n74076 100000\n38038 57003\n12038 18119\n11903 17907\n71883 100000\n11431 17209\n75572 100000\n1586 2383\n6532 9867\n45537 68237\n85337 100000\n55009 82479\n88324 100000\n70365 100000\n203 301\n84207 100000\n16233 24360\n99501 100000\n19154 28723\n4579 6889\n57024 85542\n26916 40345\n58093 87156\n54508 81756\n96230 100000\n68784 100000\n4515 6789\n70283 100000\n21573 32344\n35731 53582\n42154 63188\n1014 1524\n78450 100000\n90355 100000\n9884 14877\n56167 84238\n75529 100000\n84796 100000\n7232 10901\n22489 33752\n34301 51437\n36823 55226\n73851 100000\n90295 100000\n8413 12667\n91064 100000\n41958 62891\n66564 99850\n30478 45683\n21949 32939\n50801 76205\n26730 40073\n40946 61367\n76382 100000\n99167 100000\n16316 24493\n4232 6362\n51474 77219\n52495 78742\n32572 48852\n32854 49274\n58160 87256\n1598 2401\n28920 43358\n9115 13711\n99095 100000\n77374 100000\n72880 100000\n65702 98553\n10522 15838\n84181 100000\n40954 61379\n9858 14836\n43367 64981\n85837 100000\n22796 34205\n58058 87104\n55925 83875\n59458 89200\n46181 69229\n26282 39414\n60945 91436\n61725 92609\n23685 35534\n53391 80081\n97040 100000\n15441 23173\n37174 55732\n13120 19728\n30314 45429\n64231 96363\n34741 52111\n5188 7828\n91534 100000\n96061 100000\n59827 89764\n14218 21335\n11170 16822\n68846 100000\n22031 33068\n97093 100000\n36157 54221\n3922 5891\n36275 54397\n32218 48312\n44616 66865\n68756 100000\n97792 100000\n46141 69167\n30244 45327\n16162 24250\n48608 72904\n24264 36383\n29322 43961\n91794 100000\n61900 92869\n19037 28545\n3620 5435\n93347 100000\n4433 6673\n16566 24859\n84130 100000\n66695 100000\n19900 29843\n15732 23608\n97841 100000\n14170 21266\n66634 99954\n4712 7098\n99152 100000\n97693 100000\n47792 71677\n83240 100000\n52569 78859\n18123 27165\n67352 100000\n23289 34943\n30642 45929\n29974 44940\n87686 100000\n87911 100000\n51166 76768\n10311 15530\n8817 13269\n42815 64147\n36696 55029\n78897 100000\n26438 39645\n62110 93179\n81700 100000\n75772 100000\n88929 100000\n5348 8073\n21850 32784\n24782 37152\n81715 100000\n55176 82736\n76009 100000\n92122 100000\n44404 66540\n93824 100000\n58840 88264\n54622 81917\n76711 100000\n32513 48764\n24415 36605\n75220 100000\n28930 43373\n10890 16400\n66812 100000\n79486 100000\n56094 84121\n70732 100000\n41383 62014\n39496 59166\n61955 92946\n50659 75980\n15313 22980\n57712 86584\n17154 25737\n77426 100000\n89802 100000\n39175 58690\n5370 8105\n54716 82053\n38324 57435\n49290 73918\n27362 41009\n45499 68177\n76102 100000\n34190 51273\n35663 53482\n1882 2819\n56802 85202\n40370 60495\n53986 80989\n85851 100000\n76410 100000\n76592 100000\n54030 81055\n74145 100000\n86577 100000\n20183 30273\n99173 100000\n33167 49755\n52290 78443\n56346 84507\n11921 17938\n94707 100000\n59513 89287\n36181 54256\n26800 40173\n84422 100000\n90030 100000\n91548 100000\n24679 36999\n90550 100000\n83273 100000\n88803 100000\n62847 94293\n52360 78544\n71971 100000\n43029 64472\n61170 91777\n4256 6401\n51785 77683\n47022 70523\n30674 45982\n76685 100000\n68192 100000\n80130 100000\n18324 27460\n10249 15442\n86588 100000\n4988 7522\n36642 54955\n79152 100000\n16749 25127\n45278 67848\n62638 93976\n66204 99300\n44786 67113\n7786 11736\n14696 22054\n7880 11878\n99817 100000\n593 890\n35902 53835\n12598 18957\n23907 35857\n3440 5175\n60583 90895\n60957 91455\n1188 1791\n4994 7530\n79880 100000\n68175 100000\n72389 100000\n81020 100000\n1463 2203\n51642 77476\n88902 100000\n40598 60834\n25490 38212\n99928 100000\n95135 100000\n41704 62511\n27429 41109\n36684 55012\n38986 58412\n51820 77734\n58080 87137\n15653 23495\n9824 14784\n86712 100000\n66085 99130\n735 1099\n24524 36765\n59043 88567\n39264 58823\n10497 15803\n98046 100000\n32769 49147\n43282 64858\n30802 46177\n20839 31239\n55752 83607\n21593 32377\n18650 27955\n17135 25707\n79449 100000\n7042 10622\n89539 100000\n18451 27646\n85160 100000\n20474 30698\n12285 18494\n75894 100000\n34284 51410\n90558 100000\n6875 10382\n4990 7524\n75712 100000\n4916 7411\n88593 100000\n8941 13452\n43265 64834\n53080 79626\n10161 15310\n28178 42243\n13129 19739\n81370 100000\n7854 11838\n29836 44731\n42402 63556\n73832 100000\n28199 42273\n55509 83250\n74863 100000\n80931 100000\n12778 19227\n41319 61919\n45251 67809\n18073 27095\n1140 1720\n58937 88406\n52017 78031\n90661 100000\n10408 15677\n65740 98606\n6212 9378\n52625 78945\n29283 43906\n28577 42838\n95714 100000\n99278 100000\n36557 54828\n85351 100000\n29592 44367\n78397 100000\n8945 13458\n51883 77826\n61914 92891\n64898 97358\n25712 38557\n55182 82744\n96317 100000\n84765 100000\n8221 12373\n67506 100000\n87431 100000\n2373 3567\n86250 100000\n22467 33724\n32044 48055\n39176 58691\n4216 6334\n72483 100000\n96441 100000\n2352 3537\n89084 100000\n3054 4591\n42651 63920\n47363 71026\n52259 78399\n71857 100000\n66189 99280\n26350 39512\n91160 100000\n79761 100000\n49818 74715\n22798 34208\n17940 26903\n99006 100000\n66253 99373\n2439 3660\n35501 53238\n93524 100000\n67053 100000\n22670 34015\n34994 52486\n29325 43966\n53449 80176\n44430 66581\n63463 95220\n1954 2924\n71109 100000\n45340 67939\n42714 64004\n82524 100000\n29104 43630\n33039 49561\n83474 100000\n74143 100000\n29365 44025\n55820 83713\n32358 48522\n95364 100000\n81080 100000\n22141 33230\n76866 100000\n52234 78361\n13500 20274\n83895 100000\n51157 76755\n70290 100000\n61731 92617\n40950 61372\n19318 28964\n33443 50164\n55373 83044\n59753 89655\n59613 89443\n19103 28647\n3430 5158\n97922 100000\n24914 37352\n84753 100000\n20162 30239\n11671 17563\n98901 100000\n74313 100000\n39401 59027\n17168 25760\n56493 84728\n74866 100000\n76422 100000\n73222 100000\n39110 58588\n42070 63060\n13023 19580\n90701 100000\n57273 85922\n89254 100000\n63803 95727\n89978 100000\n76239 100000\n51783 77681\n84007 100000\n23610 35422\n4960 7482\n73435 100000\n56153 84215\n49902 74843\n67009 100000\n47470 71189\n77852 100000\n47436 71136\n5148 7765\n60585 90898\n24726 37070\n73917 100000\n24646 36949\n58078 87135\n6526 9860\n98514 100000\n30475 45677\n81640 100000\n25749 38611\n20830 31225\n89390 100000\n34641 51961\n52076 78120\n38583 57823\n23547 35324\n44729 67027\n35922 53865\n89228 100000\n88094 100000\n78992 100000\n47278 70899\n83206 100000\n89766 100000\n58590 87890\n23565 35350\n24043 36060\n64291 96455\n13649 20492\n31355 47005\n78778 100000\n91215 100000\n90413 100000\n45236 67787\n27156 40707\n41743 62570\n82928 100000\n19675 29502\n37347 55994\n64210 96329\n25243 37843\n64189 96300\n18034 27041\n46934 70385\n2028 3035\n85678 100000\n77433 100000\n83223 100000\n80702 100000\n20904 31336\n5173 7806\n94328 100000\n32623 48930\n81639 100000\n23033 34560\n97324 100000\n92711 100000\n64599 96911\n32761 49135\n55652 83462\n416 613\n4970 7495\n72940 100000\n66689 100000\n92430 100000\n31104 46626\n30923 46363\n88991 100000\n41077 61572\n56961 85443\n6277 9477\n97210 100000\n70093 100000\n49950 74914\n28557 42811\n65397 98096\n68477 100000\n97764 100000\n7315 11024\n57994 87006\n56366 84535\n60731 91111\n97665 100000\n28674 42983\n87253 100000\n8329 12532\n58588 87887\n3473 5223\n65628 98443\n2898 4355\n35456 53168\n72051 100000\n67990 100000\n90490 100000\n79701 100000\n75126 100000\n44406 66543\n76443 100000\n35611 53403\n93675 100000\n95482 100000\n64200 96316\n62193 93301\n98715 100000\n84471 100000\n49957 74925\n29729 44576\n56501 84739\n585 878\n31091 46608\n71037 100000\n61591 92408\n40331 60435\n8344 12552\n43676 65444\n62929 94420\n43311 64904\n1090 1637\n94993 100000\n23085 34637\n41516 62225\n73232 100000\n2083 3122\n71537 100000\n92921 100000\n96477 100000\n5795 8740\n52895 79340\n20624 30935\n7670 11561\n76338 100000\n65016 97533\n59920 89901\n25469 38180\n30353 45485\n48729 73083\n38915 58307\n32922 49375\n70789 100000\n66355 99534\n66985 100000\n89907 100000\n39280 58842\n10941 16477\n43137 64634\n72537 100000\n91648 100000\n56024 84021\n82183 100000\n27315 40940\n96191 100000\n312 457\n86557 100000\n26 37\n25656 38467\n33281 49919\n88638 100000\n65386 98079\n12090 18196\n8717 13121\n27922 41858\n72388 100000\n2905 4364\n86300 100000\n92341 100000\n68453 100000\n86131 100000\n4113 6176\n41266 61843\n62698 94061\n66166 99247\n4884 7361\n78291 100000\n46829 70225\n90721 100000\n76383 100000\n29180 43751\n84884 100000\n23217 34835\n11884 17881\n11304 17019\n14620 21943\n77044 100000\n22268 33429\n76931 100000\n28962 43416\n28224 42312\n71343 100000\n15676 23528\n51593 77401\n98685 100000\n87784 100000\n59058 88593\n91529 100000\n33388 50077\n24231 36337\n85173 100000\n86851 100000\n29170 43732\n69804 100000\n79187 100000\n14820 22238\n20216 30322\n62002 93020\n14039 21070\n21758 32641\n65640 98462\n10247 15438\n19643 29451\n39587 59308\n56201 84291\n95022 100000\n23966 35948\n53073 79612\n80039 100000\n44118 66109\n86763 100000\n34585 51877\n11932 17953\n62795 94209\n16317 24495\n19513 29255\n37655 56440\n744 1115\n47922 71867\n53584 80390\n99863 100000\n38183 57220\n51374 77083\n64202 96319\n80642 100000\n97070 100000\n73254 100000\n54777 82142\n80339 100000\n41603 62359\n4560 6859\n23716 35579\n55654 83464\n1276 1916\n3598 5403\n42417 63580\n93561 100000\n3106 4666\n5094 7682\n77109 100000\n68985 100000\n64778 97175\n92544 100000\n6244 9432\n24038 36053\n59051 88580\n67149 100000\n59669 89526\n17486 26236\n94362 100000\n14842 22271\n49526 74282\n24543 36794\n71528 100000\n71891 100000\n7276 10969\n37214 55788\n9430 14185\n87092 100000\n13868 20823\n96178 100000\n78593 100000\n28524 42762\n44930 67322\n23706 35563\n42008 62967\n4959 7480\n21713 32570\n31148 46691\n79286 100000\n34687 52033\n77156 100000\n91188 100000\n64974 97470\n83160 100000\n3961 5945\n55601 83384\n7132 10754\n25510 38242\n84936 100000\n35486 53213\n10274 15476\n50125 75177\n37017 55504\n74543 100000\n8693 13086\n67420 100000\n99686 100000\n87171 100000\n22339 33530\n67787 100000\n94458 100000\n75928 100000\n26555 39813\n58783 88177\n55829 83726\n29536 44288\n20622 30933\n76930 100000\n13424 20173\n30285 45389\n32952 49425\n9121 13719\n53726 80600\n51765 77653\n93189 100000\n4198 6306\n2330 3504\n44963 67374\n34681 52024\n41847 62721\n16081 24130\n74843 100000\n84568 100000\n79547 100000\n39948 59864\n89679 100000\n61712 92587\n30786 46153\n24855 37263\n45210 67749\n86742 100000\n45136 67637\n70892 100000\n4505 6776\n16031 24054\n7642 11517\n7290 10990\n48222 72316\n59958 89962\n60123 90213\n28854 43260\n78062 100000\n61181 91792\n18748 28109\n62543 93824\n91176 100000\n4852 7312\n8207 12354\n6930 10460\n22787 34190\n87315 100000\n18577 27834\n87238 100000\n10047 15140\n87703 100000\n25164 37730\n56740 85105\n41755 62586\n47078 70597\n86024 100000\n59874 89833\n78545 100000\n87148 100000\n13657 20504\n55742 83592\n7555 11388\n32508 48759\n81350 100000\n56157 84221\n54955 82402\n44731 67031\n16728 25095\n49099 73624\n65448 98173\n74777 100000\n22216 33354\n97511 100000\n70139 100000\n8641 13012\n32633 48944\n14369 21568\n22491 33754\n18065 27083\n34768 52152\n98989 100000\n50409 75606\n20292 30432\n87816 100000\n23073 34620\n74465 100000\n78146 100000\n43493 65164\n43606 65336\n60763 91153\n37967 56898\n66510 99767\n96383 100000\n77728 100000\n24653 36959\n8785 13221\n67369 100000\n85245 100000\n24674 36992\n55080 82590\n82796 100000\n4834 7286\n97679 100000\n12499 18813\n26993 40458\n96352 100000\n5317 8026\n45179 67704\n5103 7697\n3597 5402\n90371 100000\n28685 42999\n51911 77870\n50930 76410\n56665 84997\n3703 5559\n12159 18306\n64329 96513\n1102 1657\n54037 81066\n8829 13284\n46217 69286\n18436 27626\n16700 25058\n85562 100000\n97334 100000\n90119 100000\n41728 62547\n24337 36494\n99864 100000\n51183 76794\n7324 11039\n73619 100000\n76629 100000\n29139 43681\n18515 27744\n91976 100000\n97397 100000\n82197 100000\n10313 15533\n81115 100000\n76849 100000\n33321 49973\n59320 88994\n65217 97829\n59221 88840\n33769 50646\n31466 47177\n87182 100000\n32311 48455\n44905 67288\n16114 24180\n44426 66575\n30255 45343\n11810 17763\n86447 100000\n36981 55457\n94530 100000\n93678 100000\n88925 100000\n56700 85043\n34088 51120\n41334 61942\n90702 100000\n31824 47716\n20555 30827\n59990 90010\n87170 100000\n75306 100000\n17882 26827\n28432 42621\n20331 30484\n47004 70495\n59998 90024\n13607 20428\n43923 65814\n57226 85849\n86227 100000\n51322 77004\n48069 72087\n73204 100000\n67753 100000\n6300 9519\n9390 14123\n99220 100000\n4375 6578\n45234 67783\n61834 92770\n48924 73374\n43575 65287\n59561 89361\n81285 100000\n20605 30908\n78287 100000\n33265 49894\n38015 56970\n33457 50186\n50331 75483\n28590 42856\n99755 100000\n94692 100000\n86664 100000\n19286 28917\n80015 100000\n70537 100000\n93300 100000\n11300 17015\n61437 92177\n57230 85855\n11366 17113\n20944 31397\n14430 21659\n13712 20589\n28921 43359\n54122 81193\n78917 100000\n42128 63148\n42272 63361\n30967 46425\n57034 85558\n80719 100000\n20414 30608\n46242 69327\n96338 100000\n72058 100000\n67717 100000\n3294 4953\n77523 100000\n98124 100000\n93563 100000\n38352 57474\n62691 94052\n72411 100000\n2828 4248\n91891 100000\n68611 100000\n31819 47710\n23269 34914\n2447 3674\n46466 69674\n25713 38559\n51387 77100\n69849 100000\n44587 66827\n16772 25156\n37537 56268\n45008 67439\n16331 24515\n74626 100000\n2718 4087\n74398 100000\n66194 99286\n295 430\n66454 99681\n63723 95602\n54281 81427\n8810 13259\n84029 100000\n68226 100000\n52603 78912\n56557 84829\n47269 70884\n57726 86605\n72815 100000\n52709 79067\n76948 100000\n52492 78737\n55096 82616\n81207 100000\n35981 53958\n30099 45121\n22724 34094\n5954 8994\n58961 88446\n77016 100000\n11604 17471\n13915 20893\n44872 67243\n45616 68365\n97648 100000\n1936 2893\n19986 29976\n12137 18269\n88746 100000\n75475 100000\n37135 55679\n51617 77436\n80581 100000\n43070 64536\n9238 13895\n42994 64416\n38486 57674\n59750 89651\n38349 57468\n36281 54407\n45579 68302\n55972 83944\n60326 90507\n84566 100000\n88082 100000\n57744 86630\n70321 100000\n2891 4345\n6259 9450\n21440 32148\n43725 65514\n21506 32247\n48049 72054\n73033 100000\n20449 30658\n22036 33075\n86316 100000\n7264 10951\n38318 57425\n84844 100000\n43772 65584\n36545 54812\n7847 11828\n76365 100000\n1170 1765\n47595 71377\n55331 82976\n35511 53254\n68498 100000\n7944 11975\n80240 100000\n15754 23638\n42090 63089\n6686 10101\n23400 35107\n77775 100000\n24448 36659\n34613 51919\n69450 100000\n33169 49758\n76134 100000\n6026 9102\n80388 100000\n37512 56232\n26349 39510\n47080 70599\n27933 41875\n81909 100000\n56188 84273\n32574 48854\n14106 21171\n9287 13972\n56715 85068\n1428 2149\n83093 100000\n69893 100000\n6734 10172\n27762 41614\n61891 92856\n48324 72467\n4228 6355\n28014 42009\n28943 43390\n98846 100000\n67691 100000\n90512 100000\n58360 87553\n76703 100000\n52201 78311\n78049 100000\n23566 35351\n37516 56237\n46581 69845\n93885 100000\n48753 73117\n88951 100000\n4129 6200\n42851 64204\n89255 100000\n2068 3099\n35305 52944\n77430 100000\n26432 39637\n99561 100000\n99771 100000\n84230 100000\n99532 100000\n19580 29358\n61107 91680\n73079 100000\n34362 51534\n61714 92591\n98644 100000\n85316 100000\n21984 32991\n88173 100000\n49583 74373\n85110 100000\n76020 100000\n62156 93249\n32169 48239\n95626 100000\n80553 100000\n48330 72474\n45252 67810\n71015 100000\n35223 52825\n365 535\n61874 92831\n26309 39454\n79038 100000\n93176 100000\n26826 40210\n51472 77216\n91877 100000\n49091 73612\n95309 100000\n70920 100000\n25900 38836\n32598 48891\n7350 11076\n11724 17641\n10768 16216\n20174 30260\n26589 39859\n88187 100000\n48056 72064\n63888 95855\n3428 5155\n77809 100000\n77625 100000\n42481 63676\n27062 40563\n70476 100000\n40673 60945\n7862 11850\n27608 41389\n34664 51996\n19230 28833\n64103 96176\n40159 60181\n13791 20703\n76898 100000\n57514 86285\n72595 100000\n41366 61990\n880 1319\n38823 58164\n82399 100000\n84525 100000\n91075 100000\n28911 43346\n42599 63843\n18423 27607\n67853 100000\n6827 10309\n28862 43272\n77906 100000\n81310 100000\n75541 100000\n2826 4245\n23182 34780\n4547 6837\n39875 59754\n75230 100000\n65228 97845\n61002 91521\n87083 100000\n41002 61457\n57611 86431\n42630 63891\n65143 97722\n92426 100000\n51250 76896\n19224 28826\n18774 28146\n1502 2264\n67774 100000\n90006 100000\n12250 18445\n10278 15483\n20736 31094\n79800 100000\n35179 52759\n48618 72920\n39426 59064\n65447 98172\n95500 100000\n12559 18902\n41075 61568\n69180 100000\n77134 100000\n86702 100000\n36920 55366\n67710 100000\n3648 5476\n32779 49163\n62973 94490\n84822 100000\n17615 26425\n33646 50464\n71054 100000\n88259 100000\n14255 21386\n72080 100000\n50504 75750\n74208 100000\n57170 85765\n16214 24330\n21275 31895\n85499 100000\n36248 54354\n46454 69657\n47642 71454\n36285 54414\n63770 95677\n66387 99582\n11678 17573\n82474 100000\n78441 100000\n59444 89179\n52314 78477\n16570 24864\n9322 14023\n31693 47516\n9974 15024\n10601 15965\n2054 3077\n11552 17391\n5462 8243\n20677 31006\n5179 7814\n68724 100000\n50546 75811\n18716 28062\n76854 100000\n78906 100000\n97944 100000\n94924 100000\n84226 100000\n22197 33320\n74774 100000\n34004 50995\n23674 35518\n77705 100000\n42874 64234\n7898 11906\n69977 100000\n18874 28292\n32007 47995\n91131 100000\n35393 53079\n68631 100000\n50148 75211\n14611 21930\n91499 100000\n62857 94308\n84831 100000\n52741 79111\n7773 11718\n11514 17333\n28652 42950\n33596 50387\n65782 98664\n37176 55736\n89680 100000\n8872 13347\n18313 27444\n64166 96268\n80763 100000\n31256 46857\n2850 4282\n37161 55715\n55055 82550\n80078 100000\n24777 37145\n67762 100000\n97202 100000\n21056 31570\n42462 63649\n84456 100000\n24189 36277\n97191 100000\n49812 74706\n27622 41411\n81221 100000\n34652 51977\n42527 63740\n97874 100000\n73186 100000\n39128 58615\n53692 80552\n12407 18670\n7302 11006\n67620 100000\n41610 62371\n90274 100000\n38303 57403\n57586 86390\n83560 100000\n51064 76619\n28057 42071\n64631 96961\n84850 100000\n85361 100000\n29353 44005\n84092 100000\n47005 70496\n25125 37676\n77828 100000\n22172 33281\n78164 100000\n98093 100000\n4454 6705\n17413 26123\n65113 97678\n19982 29968\n48031 72026\n57972 86972\n55795 83675\n70121 100000\n86340 100000\n58035 87068\n75163 100000\n15455 23194\n97354 100000\n90589 100000\n55318 82955\n24875 37293\n75370 100000\n70675 100000\n46885 70311\n39364 58969\n43414 65050\n1636 2457\n75373 100000\n37719 56533\n74784 100000\n27638 41433\n51773 77665\n99776 100000\n5869 8856\n49855 74771\n91783 100000\n56474 84701\n3486 5241\n88930 100000\n24802 37185\n40502 60687\n1020 1533\n91325 100000\n73813 100000\n52779 79164\n3061 4601\n23740 35618\n73622 100000\n29182 43753\n87644 100000\n58796 88198\n94866 100000\n14485 21739\n71566 100000\n32337 48493\n63865 95820\n16056 24093\n57854 86789\n71094 100000\n96428 100000\n50933 76416\n21374 32046\n17642 26465\n7533 11351\n53160 79745\n13795 20711\n56370 84541\n21910 32877\n18828 28224\n77367 100000\n25757 38623\n72555 100000\n65845 98757\n8795 13235\n97670 100000\n11307 17023\n57045 85574\n23469 35209\n51876 77815\n50458 75678\n34671 52005\n67483 100000\n86467 100000\n30678 45987\n38848 58203\n26917 40346\n18945 28399\n94081 100000\n36023 54020\n655 978\n42713 64002\n64537 96823\n47658 71477\n16194 24300\n41252 61822\n29630 44424\n86598 100000\n99016 100000\n78542 100000\n46173 69217\n41545 62268\n92610 100000\n35966 53936\n57377 86083\n85117 100000\n54021 81044\n73405 100000\n2303 3460\n5854 8828\n44679 66959\n79168 100000\n12485 18790\n6107 9221\n80230 100000\n93898 100000\n1567 2358\n86567 100000\n30456 45646\n44808 67144\n38696 57980\n37114 55649\n23760 35644\n22567 33865\n74085 100000\n54103 81166\n66332 99499\n88822 100000\n56647 84970\n50222 75323\n41051 61535\n18579 27837\n24108 36154\n92392 100000\n79669 100000\n12723 19151\n98509 100000\n70829 100000\n15734 23610\n62500 93760\n29657 44465\n67947 100000\n33790 50676\n54709 82043\n47200 70780\n34512 51760\n1005 1509\n32302 48442\n19023 28523\n53543 80322\n56946 85421\n9907 14915\n23152 34735\n15900 23854\n47589 71369\n62401 93616\n68465 100000\n53573 80372\n77579 100000\n44822 67163\n40726 61026\n60429 90663\n4552 6847\n61531 92318\n75689 100000\n18556 27806\n26790 40159\n98507 100000\n84518 100000\n6767 10219\n24412 36602\n38889 58268\n68761 100000\n47138 70686\n62890 94358\n69268 100000\n70635 100000\n68924 100000\n8606 12961\n86503 100000\n35886 53814\n70720 100000\n4274 6427\n76882 100000\n43338 64941\n81676 100000\n80377 100000\n3874 5813\n76436 100000\n60597 90913\n96487 100000\n42404 63559\n3773 5659\n86128 100000\n62272 93418\n46348 69496\n6972 10523\n18800 28181\n26178 39261\n10298 15509\n59179 88771\n78166 100000\n56687 85028\n53645 80480\n17317 25982\n79933 100000\n83713 100000\n5205 7853\n99985 100000\n37814 56673\n36909 55351\n74060 100000\n99392 100000\n99869 100000\n56218 84316\n53118 79686\n18697 28031\n70399 100000\n65533 98299\n67743 100000\n80879 100000\n54233 81356\n99298 100000\n82364 100000\n43416 65053\n74220 100000\n71221 100000\n25858 38774\n13399 20135\n71651 100000\n12956 19478\n95400 100000\n38927 58323\n87185 100000\n29199 43775\n59811 89741\n63942 95936\n12508 18824\n74172 100000\n49403 74092\n41236 61800\n25781 38660\n33448 50172\n18911 28346\n30116 45145\n7685 11582\n40218 60267\n87287 100000\n3178 4774\n63442 95186\n17512 26272\n94584 100000\n89047 100000\n83313 100000\n98579 100000\n77862 100000\n84548 100000\n76100 100000\n95467 100000\n750 1122\n38272 57356\n77960 100000\n9877 14865\n58924 88383\n73469 100000\n45501 68180\n23061 34603\n40933 61346\n76998 100000\n71969 100000\n7019 10587\n74624 100000\n33718 50571\n31848 47753\n85178 100000\n81748 100000\n57138 85719\n94600 100000\n89369 100000\n89960 100000\n36273 54393\n76043 100000\n14859 22290\n30584 45847\n35443 53151\n83726 100000\n91086 100000\n46898 70331\n16377 24581\n42568 63797\n39457 59107\n1508 2272\n49317 73961\n28639 42929\n188 279\n12871 19357\n97109 100000\n76878 100000\n79392 100000\n46712 70044\n76761 100000\n71102 100000\n89607 100000\n13701 20572\n2043 3059\n4623 6955\n17107 25663\n31345 46990\n6644 10036\n77744 100000\n70412 100000\n16637 24962\n8774 13204\n32791 49182\n6653 10049\n80068 100000\n27731 41569\n58421 87643\n78812 100000\n17987 26968\n36047 54054\n42223 63286\n78913 100000\n16884 25323\n77958 100000\n85861 100000\n88755 100000\n38069 57048\n44122 66114\n42480 63674\n12175 18328\n2995 4502\n71382 100000\n73505 100000\n34941 52408\n38866 58232\n37651 56435\n82413 100000\n1832 2745\n76899 100000\n96088 100000\n59506 89276\n14503 21768\n15544 23328\n85037 100000\n31254 46854\n93441 100000\n32339 48496\n79118 100000\n92107 100000\n34066 51089\n30514 45738\n85898 100000\n63428 95168\n16743 25118\n92582 100000\n70977 100000\n9959 15001\n27256 40853\n22064 33114\n39553 59254\n9235 13890\n59531 89314\n94613 100000\n86859 100000\n1680 2526\n66619 99930\n41897 62802\n65456 98186\n48579 72858\n29092 43613\n67116 100000\n25166 37732\n25731 38584\n88416 100000\n15121 22689\n24847 37251\n19730 29589\n55581 83356\n15081 22628\n68529 100000\n60810 91219\n78522 100000\n52986 79475\n77641 100000\n76634 100000\n75508 100000\n13620 20448\n69663 100000\n49200 73778\n62576 93879\n15862 23792\n38136 57148\n39190 58713\n8231 12387\n77511 100000\n94913 100000\n44554 66778\n81205 100000\n53582 80387\n41922 62837\n35821 53716\n33507 50256\n11281 16987\n62591 93901\n42344 63469\n12759 19199\n73885 100000\n6245 9433\n92699 100000\n51305 76976\n33186 49783\n98873 100000\n67976 100000\n43307 64898\n70839 100000\n68070 100000\n67587 100000\n53498 80251\n11081 16686\n34013 51008\n95147 100000\n77357 100000\n25425 38117\n73951 100000\n11787 17728\n80429 100000\n29795 44676\n43148 64649\n71147 100000\n76587 100000\n60128 90219\n14574 21873\n45948 68872\n93894 100000\n23308 34975\n49928 74879\n6865 10368\n99689 100000\n69576 100000\n30135 45171\n4509 6781\n18126 27169\n78596 100000\n55659 83470\n11853 17833\n73473 100000\n30599 45868\n41624 62389\n65315 97968\n80437 100000\n407 599\n56490 84724\n52034 78056\n97997 100000\n31709 47542\n55567 83334\n96687 100000\n29950 44905\n79463 100000\n90836 100000\n94226 100000\n3924 5895\n99225 100000\n64373 96578\n32560 48838\n15793 23695\n75426 100000\n64969 97463\n35969 53940\n25976 38953\n11775 17712\n61831 92764\n56274 84397\n38485 57673\n77075 100000\n25001 37483\n59547 89338\n7366 11101\n50076 75102\n56806 85207\n55608 83395\n74034 100000\n51359 77061\n96905 100000\n53950 80934\n8368 12593\n7790 11742\n59432 89160\n32880 49314\n73044 100000\n66121 99182\n86782 100000\n3738 5610\n56423 84622\n76298 100000\n50912 76382\n50868 76313\n77221 100000\n28546 42795\n52078 78123\n1945 2908\n62115 93189\n59087 88633\n44877 67249\n66419 99628\n4365 6566\n91962 100000\n7504 11310\n43821 65658\n31179 46740\n71184 100000\n8611 12970\n19226 28828\n98567 100000\n69376 100000\n53833 80759\n57434 86163\n38028 56990\n35547 53307\n89792 100000\n82925 100000\n99617 100000\n38540 57758\n39339 58931\n42767 64078\n5459 8240\n11700 17607\n33419 50125\n5262 7939\n7295 10996\n20418 30612\n71699 100000\n40053 60019\n82233 100000\n87731 100000\n19430 29128\n67190 100000\n3586 5387\n57166 85759\n95909 100000\n84967 100000\n97328 100000\n34009 51002\n95531 100000\n38372 57506\n16367 24567\n25759 38625\n93735 100000\n71721 100000\n46860 70276\n69999 100000\n14603 21917\n35037 52546\n79777 100000\n73519 100000\n94162 100000\n14350 21541\n37270 55879\n39160 58666\n90052 100000\n48529 72780\n27348 40990\n51113 76690\n40624 60872\n4074 6114\n8968 13490\n33119 49686\n57984 86990\n97348 100000\n87587 100000\n82598 100000\n40636 60889\n51701 77564\n35411 53103\n3308 4974\n10377 15632\n60862 91308\n85035 100000\n39120 58603\n73933 100000\n30084 45098\n32346 48505\n93507 100000\n15720 23592\n87606 100000\n58554 87837\n41749 62577\n72965 100000\n46463 69670\n5646 8514\n17682 26527\n92105 100000\n63213 94854\n58523 87792\n86176 100000\n13291 19973\n85353 100000\n39249 58801\n90454 100000\n6239 9423\n27595 41370\n49063 73577\n49766 74645\n2202 3299\n81460 100000\n51855 77784\n51833 77754\n49005 73491\n55130 82670\n11473 17275\n5708 8611\n57515 86287\n90694 100000\n41249 61818\n37177 55737\n11226 16905\n23604 35415\n21760 32644\n29258 43865\n12189 18348\n54255 81388\n66220 99324\n14694 22052\n16082 24132\n90753 100000\n72716 100000\n98541 100000\n16954 25429\n76376 100000\n69957 100000\n76806 100000\n8960 13479\n50296 75432\n69787 100000\n77897 100000\n14212 21328\n75336 100000\n39026 58471\n36846 55259\n68060 100000\n42751 64057\n46734 70079\n83924 100000\n96435 100000\n8526 12839\n78945 100000\n48390 72564\n1180 1780\n79380 100000\n99249 100000\n34536 51802\n48331 72475\n70021 100000\n50651 75966\n6367 9623\n96573 100000\n88870 100000\n74152 100000\n49626 74439\n82354 100000\n58514 87777\n73690 100000\n50639 75947\n63415 95151\n13152 19772\n20385 30565\n66426 99637\n49580 74369\n75173 100000\n55614 83404\n22040 33082\n65415 98125\n56934 85402\n1861 2785\n61266 91915\n67354 100000\n60255 90408\n20233 30347\n78867 100000\n87950 100000\n62187 93291\n86295 100000\n81597 100000\n61354 92054\n98354 100000\n68469 100000\n71163 100000\n24033 36045\n32393 48576\n56553 84822\n84813 100000\n24022 36026\n95305 100000\n85238 100000\n47100 70626\n64223 96349\n10160 15308\n1732 2600\n55307 82942\n23875 35808\n19645 29454\n54120 81191\n79732 100000\n73487 100000\n39178 58694\n71488 100000\n65825 98727\n16686 25036\n49784 74669\n46313 69440\n55676 83496\n72862 100000\n91725 100000\n51533 77309\n52542 78817\n61289 91951\n36512 54759\n80580 100000\n76691 100000\n74705 100000\n75305 100000\n57039 85565\n96654 100000\n29415 44106\n36309 54455\n76200 100000\n34281 51405\n88269 100000\n20150 30220\n86875 100000\n40491 60670\n23719 35583\n89141 100000\n48503 72740\n84177 100000\n38662 57931\n2688 4042\n9964 15009\n13904 20878\n21448 32161\n62040 93074\n67339 100000\n22301 33476\n42596 63839\n10460 15749\n84687 100000\n26054 39073\n43895 65771\n22830 34255\n24953 37409\n24214 36311\n19213 28812\n18950 28407\n77488 100000\n11776 17713\n37048 55550\n12434 18709\n62803 94220\n23721 35586\n59573 89380\n12770 19217\n48448 72653\n44316 66404\n69263 100000\n3121 4691\n80555 100000\n21112 31651\n71953 100000\n95661 100000\n84401 100000\n86709 100000\n98648 100000\n55364 83027\n87869 100000\n37372 56031\n13728 20612\n25300 37929\n76644 100000\n47152 70706\n55152 82704\n68424 100000\n51055 76604\n74788 100000\n36896 55331\n94117 100000\n56492 84726\n75734 100000\n22508 33777\n81593 100000\n85948 100000\n64623 96948\n20261 30387\n81424 100000\n13781 20688\n11863 17848\n52273 78418\n80201 100000\n27056 40555\n82563 100000\n6588 9951\n23894 35835\n52057 78091\n63193 94832\n26317 39466\n60860 91304\n66566 99852\n77627 100000\n66704 100000\n22239 33388\n5505 8304\n33027 49543\n13617 20442\n47651 71468\n40822 61176\n17527 26296\n45211 67751\n62466 93712\n19899 29841\n7766 11706\n7852 11836\n48624 72931\n24806 37190\n12228 18409\n17422 26137\n85274 100000\n31895 47823\n11993 18047\n52490 78735\n10978 16534\n78154 100000\n63355 95056\n1516 2284\n77347 100000\n20084 30123\n34141 51197\n61246 91888\n91878 100000\n30763 46117\n21909 32876\n90192 100000\n55494 83227\n31452 47157\n82569 100000\n63291 94964\n21788 32691\n67589 100000\n12644 19027\n20132 30193\n75542 100000\n60463 90714\n65061 97596\n24237 36346\n3831 5748\n52033 78055\n31796 47672\n70634 100000\n88748 100000\n37084 55602\n84186 100000\n93596 100000\n24757 37112\n10602 15967\n60913 91385\n82248 100000\n83575 100000\n98000 100000\n74088 100000\n77094 100000\n46733 70077\n17795 26693\n5504 8302\n76046 100000\n4427 6664\n5676 8559\n876 1314\n28108 42140\n67088 100000\n42551 63771\n24894 37322\n7932 11958\n89387 100000\n59801 89726\n80235 100000\n38905 58292\n23069 34614\n93433 100000\n87201 100000\n91144 100000\n81930 100000\n5762 8688\n22210 33343\n62683 94041\n49565 74343\n36783 55167\n40958 61385\n97231 100000\n56921 85383\n9811 14766\n22246 33396\n46422 69609\n19346 29006\n27048 40543\n84798 100000\n76098 100000\n27736 41576\n4252 6394\n94400 100000\n84461 100000\n94595 100000\n23456 35188\n84664 100000\n11795 17740\n24863 37275\n72777 100000\n68047 100000\n3680 5525\n23839 35752\n8838 13296\n53077 79620\n26747 40097\n73234 100000\n66757 100000\n15892 23841\n51644 77480\n40854 61224\n58170 87268\n4587 6902\n67916 100000\n30987 46454\n7804 11766\n701 1043\n47041 70547\n37503 56219\n89000 100000\n87995 100000\n26018 39017\n40426 60579\n21042 31547\n77358 100000\n76032 100000\n88072 100000\n33574 50355\n52623 78942\n69227 100000\n70323 100000\n32448 48662\n68599 100000\n71040 100000\n60614 90937\n92990 100000\n61962 92960\n1928 2881\n48857 73270\n54959 82408\n51227 76863\n30985 46451\n53487 80235\n4045 6072\n7339 11061\n3230 4852\n94566 100000\n69215 100000\n35859 53773\n90929 100000\n69976 100000\n62136 93222\n18792 28172\n77220 100000\n61258 91905\n59673 89532\n85321 100000\n37408 56084\n81573 100000\n15899 23853\n83811 100000\n53396 80090\n12204 18373\n16287 24440\n3578 5375\n71 109\n27500 41220\n13623 20453\n10687 16095\n61127 91711\n90737 100000\n55322 82961\n80891 100000\n66211 99311\n41695 62497\n17076 25621\n20253 30374\n83750 100000\n6632 10017\n37878 56768\n99011 100000\n49810 74704\n44562 66790\n83198 100000\n17681 26525\n92871 100000\n96843 100000\n70018 100000\n72457 100000\n57775 86675\n96100 100000\n3039 4570\n10502 15812\n17994 26978\n44954 67359\n26590 39861\n86568 100000\n32878 49312\n26280 39410\n1914 2862\n41882 62779\n80430 100000\n83587 100000\n11526 17351\n58955 88436\n15552 23339\n5491 8283\n2492 3742\n24951 37406\n97459 100000\n78075 100000\n96084 100000\n27438 41123\n98165 100000\n21031 31527\n12898 19393\n61517 92297\n11056 16651\n29263 43874\n85391 100000\n59928 89914\n49876 74805\n79434 100000\n88039 100000\n65477 98217\n15292 22951\n17976 26952\n2559 3848\n28929 43371\n55233 82820\n24040 36056\n35272 52898\n67816 100000\n30895 46319\n47613 71406\n10137 15277\n51446 77181\n85680 100000\n52309 78470\n8609 12966\n58714 88074\n47601 71388\n31222 46802\n23318 34990\n64030 96067\n71050 100000\n25449 38150\n18178 27244\n33485 50228\n26850 40246\n62932 94424\n3152 4741\n14759 22148\n28063 42079\n28994 43466\n44065 66026\n95926 100000\n43167 64679\n98037 100000\n91811 100000\n94570 100000\n15543 23327\n82195 100000\n4696 7073\n93672 100000\n23864 35790\n51867 77801\n74262 100000\n14408 21627\n40386 60519\n9060 13632\n16488 24745\n72910 100000\n86086 100000\n72424 100000\n69027 100000\n74839 100000\n24461 36676\n1457 2193\n81958 100000\n60342 90532\n14673 22021\n78385 100000\n4023 6037\n94481 100000\n10438 15720\n24917 37356\n96171 100000\n16627 24947\n28686 43000\n27592 41366\n7680 11575\n9502 14294\n44186 66210\n38825 58167\n6998 10559\n29163 43721\n87694 100000\n73337 100000\n78314 100000\n38412 57566\n40082 60065\n19446 29155\n9348 14060\n12278 18485\n76148 100000\n93456 100000\n31214 46792\n26922 40354\n55132 82673\n77901 100000\n43065 64530\n9661 14531\n38093 57083\n2007 3003\n23415 35126\n46572 69831\n12703 19120\n47194 70770\n46015 68977\n54022 81046\n72126 100000\n6931 10462\n86914 100000\n16893 25336\n88049 100000\n1336 2008\n21432 32137\n31593 47364\n22541 33825\n73954 100000\n60759 91147\n84408 100000\n40029 59983\n88685 100000\n70907 100000\n83495 100000\n26445 39653\n11676 17571\n54674 81994\n70619 100000\n52694 79044\n6481 9788\n54038 81067\n67651 100000\n10007 15077\n23219 34838\n13603 20423\n67242 100000\n1974 2955\n67751 100000\n90411 100000\n722 1078\n40335 60442\n69443 100000\n65222 97837\n23083 34635\n30451 45638\n65957 98926\n84371 100000\n94957 100000\n88904 100000\n9145 13758\n50446 75660\n83602 100000\n47049 70556\n95146 100000\n6824 10303\n96 146\n67355 100000\n27609 41391\n43679 65448\n93949 100000\n72678 100000\n99025 100000\n17766 26651\n77750 100000\n92825 100000\n27182 40742\n87451 100000\n71527 100000\n1848 2768\n99236 100000\n22968 34467\n12548 18886\n30939 46388\n50943 76430\n62034 93064\n34214 51309\n36579 54860\n58635 87959\n93581 100000\n71023 100000\n60456 90703\n32831 49240\n50507 75755\n68095 100000\n33297 49940\n68508 100000\n63858 95810\n20366 30535\n62713 94084\n16923 25376\n83218 100000\n80729 100000\n80504 100000\n94084 100000\n95888 100000\n36818 55217\n87336 100000\n50031 75038\n42946 64345\n75206 100000\n31040 46530\n9143 13755\n24329 36482\n76616 100000\n45697 68499\n1153 1740\n660 985\n57975 86975\n47099 70625\n43364 64977\n83961 100000\n74661 100000\n48498 72730\n1602 2407\n58276 87430\n1384 2082\n11597 17460\n61659 92503\n9194 13831\n30486 45696\n60383 90589\n32204 48290\n30719 46046\n33345 50011\n90008 100000\n10204 15373\n96101 100000\n94907 100000\n32861 49284\n18794 28174\n8158 12284\n16384 24591\n31470 47182\n66851 100000\n36184 54259\n39975 59902\n14553 21844\n73512 100000\n72422 100000\n76807 100000\n62866 94320\n67597 100000\n97921 100000\n74388 100000\n87447 100000\n63337 95028\n75478 100000\n57764 86658\n61105 91677\n15060 22594\n63421 95158\n61759 92656\n75262 100000\n78728 100000\n53777 80679\n91867 100000\n67244 100000\n9149 13763\n78209 100000\n30204 45269\n59581 89392\n11064 16662\n89556 100000\n61020 91549\n79872 100000\n12950 19468\n36686 55014\n43289 64872\n74945 100000\n79737 100000\n46689 70006\n60804 91209\n70422 100000\n84654 100000\n52594 78897\n21710 32565\n51682 77538\n66577 99868\n27754 41603\n51604 77420\n65213 97824\n59182 88776\n49669 74503\n20567 30847\n44873 67245\n6136 9264\n70564 100000\n90191 100000\n20273 30406\n79425 100000\n55743 83593\n96401 100000\n27244 40834\n24301 36439\n73977 100000\n29320 43958\n84907 100000\n29069 43579\n24283 36412\n54559 81823\n20495 30733\n29225 43817\n62868 94323\n72811 100000\n52501 78752\n89868 100000\n36219 54306\n47992 71964\n31699 47525\n60480 90739\n51913 77872\n61529 92315\n2815 4230\n38941 58343\n38983 58408\n71811 100000\n71301 100000\n3425 5149\n11444 17233\n65808 98703\n55956 83922\n78475 100000\n85367 100000\n48583 72866\n2642 3971\n77120 100000\n62216 93336\n91432 100000\n33113 49677\n9759 14683\n11576 17429\n26560 39821\n58304 87473\n3083 4632\n57295 85958\n62192 93299\n40617 60861\n71244 100000\n43648 65402\n52268 78411\n81592 100000\n71389 100000\n15083 22632\n63626 95458\n8787 13224\n44641 66902\n88114 100000\n94092 100000\n95291 100000\n32558 48835\n96464 100000\n89360 100000\n88579 100000\n11255 16948\n75284 100000\n59823 89757\n81674 100000\n6164 9306\n15865 23798\n36633 54942\n95164 100000\n63374 95085\n58800 88204\n74753 100000\n79533 100000\n52674 79012\n38821 58161\n65417 98127\n53057 79585\n65697 98546\n63643 95481\n4428 6665\n3569 5360\n85404 100000\n64168 96271\n29512 44251\n4967 7491\n23110 34674\n56662 84993\n90235 100000\n8894 13380\n49363 74031\n71984 100000\n60934 91419\n94500 100000\n73002 100000\n99142 100000\n10102 15224\n61765 92667\n52639 78962\n86540 100000\n36409 54602\n28971 43431\n72982 100000\n86645 100000\n11838 17810\n90786 100000\n41187 61727\n58874 88309\n23165 34753\n70393 100000\n75307 100000\n62386 93594\n14768 22159\n93446 100000\n9966 15013\n59770 89681\n62720 94094\n40782 61117\n5760 8685\n54287 81437\n52991 79482\n20240 30356\n13898 20871\n74316 100000\n80460 100000\n81442 100000\n14432 21662\n43660 65420\n14657 21999\n64928 97401\n37321 55956\n83640 100000\n91044 100000\n99790 100000\n87454 100000\n18946 28401\n19680 29509\n33973 50946\n57156 85742\n26135 39201\n34407 51602\n95940 100000\n52705 79061\n11864 17850\n62387 93595\n89767 100000\n59931 89920\n48402 72581\n3338 5017\n36938 55393\n44288 66363\n53807 80722\n35513 53257\n32789 49180\n56620 84930\n3377 5073\n51921 77884\n40513 60701\n75274 100000\n49690 74538\n60012 90044\n26175 39257\n4853 7314\n86224 100000\n36044 54050\n72348 100000\n20169 30251\n31079 46590\n51220 76854\n49449 74161\n8747 13163\n79616 100000\n57738 86621\n61200 91821\n1082 1625\n20906 31339\n2436 3656\n36632 54940\n34819 52227\n91344 100000\n90035 100000\n97986 100000\n3034 4561\n25618 38411\n6325 9557\n59512 89286\n32281 48409\n23652 35484\n51861 77793\n40089 60074\n81189 100000\n22184 33299\n27060 40560\n30147 45189\n24333 36488\n38316 57422\n67812 100000\n90187 100000\n13301 19987\n79198 100000\n82155 100000\n83212 100000\n87421 100000\n63598 95415\n75304 100000\n9474 14254\n65468 98202\n67381 100000\n36461 54682\n27079 40586\n22596 33907\n52028 78048\n66287 99427\n98429 100000\n85052 100000\n61428 92163\n64603 96917\n86806 100000\n24828 37223\n45229 67777\n80378 100000\n73661 100000\n32251 48361\n95424 100000\n99068 100000\n5988 9048\n25623 38420\n32636 48947\n37038 55533\n6595 9963\n89557 100000\n19563 29332\n77341 100000\n54565 81832\n24505 36739\n2500 3754\n68206 100000\n4438 6681\n78940 100000\n3657 5490\n83833 100000\n98943 100000\n5245 7913\n95916 100000\n82790 100000\n20651 30972\n99105 100000\n71663 100000\n78189 100000\n31420 47108\n73503 100000\n92761 100000\n86232 100000\n63393 95114\n20058 30085\n27919 41853\n35931 53881\n82551 100000\n23295 34954\n10742 16180\n69571 100000\n7425 11189\n51431 77160\n60693 91058\n97660 100000\n58761 88143\n68487 100000\n77766 100000\n1236 1859\n6324 9555\n3253 4888\n29723 44566\n81634 100000\n8146 12265\n70721 100000\n12003 18064\n93045 100000\n11631 17509\n33744 50609\n67549 100000\n33584 50370\n79426 100000\n92983 100000\n22692 34045\n82350 100000\n36489 54725\n3066 4608\n56653 84980\n62900 94376\n92075 100000\n32162 48227\n25220 37809\n20914 31352\n77841 100000\n63890 95859\n49867 74790\n83753 100000\n98922 100000\n6571 9928\n92546 100000\n63765 95669\n27387 41045\n79748 100000\n32279 48406\n32991 49485\n70915 100000\n5545 8364\n43537 65235\n7550 11381\n18547 27795\n48537 72793\n1735 2605\n69043 100000\n70392 100000\n95111 100000\n42174 63214\n13332 20036\n56823 85234\n75704 100000\n42419 63583\n14414 21637\n61843 92781\n1225 1841\n77024 100000\n91813 100000\n97201 100000\n63225 94870\n91382 100000\n13741 20632\n53214 79831\n5690 8582\n58373 87569\n54795 82166\n5990 9051\n8893 13378\n40343 60455\n68365 100000\n98632 100000\n19464 29181\n48568 72842\n76237 100000\n4451 6701\n68872 100000\n55885 83814\n30431 45600\n41540 62260\n13441 20198\n43394 65019\n86947 100000\n28360 42514\n24773 37139\n49434 74138\n58834 88254\n79325 100000\n83269 100000\n8289 12469\n81354 100000\n11705 17614\n64499 96762\n48791 73174\n63324 95010\n90488 100000\n26245 39362\n2988 4490\n83421 100000\n40988 61434\n35596 53382\n31672 47484\n708 1053\n22948 34434\n48355 72513\n49322 73969\n65970 98946\n98020 100000\n25668 38484\n37630 56404\n74789 100000\n92760 100000\n23701 35554\n26085 39121\n35436 53141\n44388 66512\n15463 23206\n94370 100000\n53654 80495\n299 437\n84868 100000\n2611 3919\n7706 11615\n56850 85275\n92714 100000\n30695 46011\n26786 40153\n19540 29298\n24982 37453\n4357 6554\n16782 25171\n43960 65869\n12241 18428\n97006 100000\n26836 40226\n65124 97696\n81063 100000\n38041 57007\n21855 32793\n53792 80702\n61893 92859\n83849 100000\n16217 24335\n18648 27951\n47044 70551\n15365 23064\n59398 89111\n60312 90489\n46131 69153\n57682 86536\n60823 91242\n77071 100000\n48613 72913\n77594 100000\n95425 100000\n79473 100000\n97423 100000\n51731 77605\n35546 53306\n16580 24878\n86862 100000\n84153 100000\n19350 29013\n65052 97583\n89577 100000\n22952 34440\n65017 97535\n62197 93307\n23628 35448\n79992 100000\n64246 96386\n13389 20119\n30732 46069\n84681 100000\n16251 24388\n59677 89539\n8966 13486\n75585 100000\n53369 80046\n78991 100000\n29578 44346\n74834 100000\n96243 100000\n53628 80457\n20408 30598\n5376 8116\n6411 9684\n44133 66130\n53832 80758\n12897 19391\n73616 100000\n71895 100000\n91999 100000\n94972 100000\n30241 45323\n50119 75166\n13970 20970\n86108 100000\n86161 100000\n57501 86264\n27514 41244\n41474 62158\n57657 86497\n49776 74660\n89322 100000\n11996 18053\n10123 15256\n19864 29785\n8402 12648\n20655 30977\n2592 3895\n87601 100000\n53459 80193\n43082 64553\n49275 73893\n53650 80488\n2323 3491\n69360 100000\n77329 100000\n8559 12893\n8353 12566\n22531 33809\n46182 69230\n66232 99340\n73058 100000\n67150 100000\n54473 81704\n4548 6839\n60894 91360\n56899 85351\n40144 60161\n93193 100000\n93174 100000\n748 1120\n20439 30642\n51870 77807\n65424 98136\n96173 100000\n16345 24536\n62751 94144\n77452 100000\n98705 100000\n95518 100000\n30056 45057\n74327 100000\n85498 100000\n43199 64729\n3727 5592\n83586 100000\n32185 48263\n5932 8957\n72025 100000\n79988 100000\n49022 73517\n95527 100000\n64931 97406\n55797 83678\n25604 38391\n75276 100000\n5587 8429\n98181 100000\n57385 86094\n84112 100000\n70080 100000\n41691 62490\n939 1410\n50780 76176\n35521 53269\n77332 100000\n17595 26398\n65550 98323\n79379 100000\n51089 76652\n90222 100000\n16033 24057\n71673 100000\n82249 100000\n69449 100000\n38278 57366\n68893 100000\n42322 63434\n69843 100000\n39137 58626\n50276 75404\n48177 72245\n14177 21276\n21168 31736\n76503 100000\n37088 55608\n76432 100000\n65635 98455\n37835 56705\n23747 35627\n64352 96549\n1311 1971\n81319 100000\n96603 100000\n86964 100000\n5566 8396\n69618 100000\n45159 67673\n93403 100000\n92472 100000\n67938 100000\n19311 28954\n46918 70362\n58423 87645\n76026 100000\n49089 73609\n90302 100000\n16461 24705\n76282 100000\n97382 100000\n65653 98480\n17081 25628\n51999 78005\n2814 4228\n61978 92985\n98293 100000\n66559 99842\n35500 53237\n91493 100000\n5487 8277\n90096 100000\n35024 52527\n67908 100000\n62878 94339\n78008 100000\n98466 100000\n63493 95265\n96495 100000\n94806 100000\n46203 69261\n71199 100000\n8175 12310\n71198 100000\n51729 77603\n64351 96548\n73008 100000\n70997 100000\n82596 100000\n97949 100000\n78345 100000\n8423 12683\n86459 100000\n74412 100000\n78337 100000\n21654 32477\n87589 100000\n34315 51458\n64244 96382\n40962 61393\n36569 54846\n52600 78907\n77567 100000\n66674 100000\n50872 76320\n84331 100000\n86746 100000\n66537 99807\n70002 100000\n20676 31005\n63245 94896\n17854 26784\n49332 73983\n45814 68666\n92559 100000\n64618 96940\n448 664\n11571 17420\n63147 94763\n10415 15687\n311 455\n12081 18182\n37210 55784\n34212 51306\n33919 50861\n33471 50210\n24363 36527\n48046 72050\n28183 42249\n37327 55965\n11494 17305\n18699 28033\n63845 95789\n60017 90051\n79436 100000\n62749 94141\n85592 100000\n23474 35218\n96194 100000\n67865 100000\n77112 100000\n10142 15282\n13691 20555\n29916 44851\n4498 6768\n70995 100000\n37345 55992\n30928 46372\n1266 1903\n76905 100000\n3523 5291\n95938 100000\n84897 100000\n3047 4581\n81324 100000\n5324 8036\n3211 4823\n32006 47994\n8476 12762\n84266 100000\n17637 26457\n19957 29928\n44765 67083\n89939 100000\n368 538\n34017 51014\n29867 44775\n44715 67008\n66357 99537\n18492 27713\n90234 100000\n47665 71487\n45500 68178\n43639 65387\n73299 100000\n21701 32553\n89343 100000\n73190 100000\n54903 82328\n96197 100000\n74106 100000\n85109 100000\n40286 60371\n50495 75736\n3958 5941\n84103 100000\n9725 14631\n89516 100000\n16816 25219\n86626 100000\n75130 100000\n37644 56425\n93285 100000\n63558 95357\n51383 77095\n96418 100000\n89862 100000\n15599 23415\n42112 63125\n31975 47943\n86460 100000\n49219 73808\n61762 92662\n95807 100000\n26965 40415\n78330 100000\n66111 99167\n53340 80006\n83189 100000\n36643 54956\n40445 60607\n5781 8720\n22349 33544\n65198 97803\n91556 100000\n44758 67073\n36026 54025\n14729 22099\n1599 2403\n29687 44512\n8533 12853\n36847 55260\n77535 100000\n51412 77133\n32579 48862\n66118 99178\n93660 100000\n63244 94895\n25092 37624\n64542 96831\n99915 100000\n71586 100000\n80489 100000\n14362 21559\n37400 56071\n82688 100000\n28513 42747\n9911 14921\n93520 100000\n93875 100000\n96321 100000\n285 419\n8754 13173\n44096 66076\n1335 2006\n80862 100000\n91768 100000\n39565 59272\n46453 69656\n51292 76959\n44938 67336\n87173 100000\n55604 83388\n82988 100000\n5650 8521\n3048 4583\n30764 46118\n2208 3309\n5595 8441\n14578 21880\n9146 13759\n65679 98519\n19623 29425\n11159 16803\n53022 79532\n97234 100000\n2945 4431\n64064 96117\n43711 65494\n86595 100000\n60690 91054\n7469 11258\n8031 12096\n48885 73313\n304 445\n71908 100000\n82378 100000\n88254 100000\n92227 100000\n27611 41395\n71416 100000\n42746 64049\n42646 63913\n81746 100000\n74449 100000\n96857 100000\n4827 7273\n72656 100000\n60193 90316\n82567 100000\n45077 67546\n15067 22606\n1433 2158\n2086 3127\n76697 100000\n1634 2454\n90203 100000\n75723 100000\n10448 15733\n80806 100000\n66628 99943\n72997 100000\n40631 60884\n67692 100000\n94001 100000\n30073 45079\n1482 2231\n39586 59306\n21069 31586\n28706 43034\n84651 100000\n4121 6188\n19526 29276\n11302 17017\n14355 21549\n31319 46953\n10159 15307\n57723 86600\n63217 94859\n62258 93400\n57866 86807\n97497 100000\n64851 97283\n36815 55213\n89108 100000\n35524 53273\n23281 34929\n63260 94917\n60951 91446\n58909 88360\n51599 77411\n3332 5010\n15739 23615\n46312 69439\n61047 91588\n8479 12767\n31946 47894\n99842 100000\n16847 25264\n74749 100000\n60118 90204\n84516 100000\n20821 31211\n51058 76609\n39902 59791\n98202 100000\n10884 16390\n44340 66440\n33689 50527\n94317 100000\n64126 96210\n81009 100000\n28230 42321\n68485 100000\n13065 19646\n30053 45053\n99898 100000\n26814 40195\n28726 43063\n34292 51422\n21964 32960\n73266 100000\n62456 93696\n4283 6439\n45929 68842\n87093 100000\n33755 50624\n8807 13254\n27226 40807\n93620 100000\n63141 94752\n48677 73009\n65184 97781\n9989 15049\n38134 57145\n79684 100000\n88525 100000\n66899 100000\n15635 23468\n68694 100000\n72333 100000\n84874 100000\n42843 64192\n8317 12513\n51044 76586\n86068 100000\n82355 100000\n96282 100000\n87629 100000\n86936 100000\n57940 86923\n15284 22938\n76469 100000\n25883 38812\n65223 97838\n53991 80998\n44881 67253\n3222 4840\n34630 51946\n3960 5943\n73579 100000\n63994 96016\n91132 100000\n64831 97251\n5120 7723\n36303 54443\n73992 100000\n5192 7834\n61267 91916\n90161 100000\n1696 2548\n68483 100000\n60020 90055\n63039 94591\n96620 100000\n40674 60946\n52484 78727\n17644 26468\n19852 29764\n83142 100000\n92297 100000\n35464 53183\n67780 100000\n74386 100000\n36816 55214\n85975 100000\n80832 100000\n2027 3034\n62076 93130\n60032 90070\n3148 4735\n84997 100000\n93990 100000\n84709 100000\n28144 42194\n21539 32294\n87233 100000\n34288 51417\n27155 40706\n22444 33693\n90 136\n35669 53491\n90126 100000\n7710 11623\n5834 8799\n65638 98459\n39646 59393\n42769 64081\n61846 92785\n39551 59251\n53662 80508\n71224 100000\n85199 100000\n69595 100000\n41103 61610\n58388 87591\n39275 58836\n28729 43066\n32305 48447\n67229 100000\n34492 51730\n12671 19070\n87815 100000\n50865 76308\n29327 43970\n24356 36518\n33331 49988\n22393 33608\n65131 97706\n24838 37238\n16365 24564\n41290 61879\n95232 100000\n30857 46260\n56330 84487\n30445 45627\n40534 60738\n33477 50219\n39285 58850\n26638 39938\n46726 70067\n29546 44301\n54581 81855\n85705 100000\n49035 73537\n473 707\n3500 5260\n35704 53538\n67705 100000\n13229 19884\n87356 100000\n17822 26733\n66266 99394\n33533 50296\n98882 100000\n40146 60163\n33240 49857\n39318 58902\n1128 1699\n60278 90439\n79827 100000\n28393 42562\n16930 25385\n58733 88105\n55640 83445\n989 1487\n36348 54509\n43253 64812\n63750 95646\n5610 8461\n64989 97494\n75603 100000\n63460 95215\n11843 17817\n60035 90075\n33902 50838\n10326 15554\n29842 44741\n33729 50586\n42565 63793\n41484 62174\n92960 100000\n49393 74077\n28625 42910\n81274 100000\n85357 100000\n11643 17523\n35220 52821\n93777 100000\n84819 100000\n37180 55742\n68109 100000\n54811 82189\n16437 24671\n62836 94278\n45820 68674\n13151 19771\n97442 100000\n46243 69329\n95060 100000\n50902 76368\n69474 100000\n46871 70289\n73531 100000\n46997 70483\n62089 93150\n29547 44303\n80973 100000\n85646 100000\n84071 100000\n25504 38234\n81445 100000\n65530 98295\n97361 100000\n44038 65985\n32369 48539\n82024 100000\n58028 87057\n27271 40876\n50209 75305\n99629 100000\n61626 92454\n9588 14422\n44332 66430\n60002 90030\n8006 12061\n67639 100000\n11087 16696\n73350 100000\n39782 59609\n18771 28141\n88109 100000\n76358 100000\n149 225\n36205 54287\n68693 100000\n99266 100000\n93720 100000\n36706 55046\n12453 18739\n20349 30508\n46939 70391\n56062 84076\n11228 16908\n61790 92699\n38933 58333\n23064 34607\n69602 100000\n91032 100000\n80745 100000\n92379 100000\n46567 69825\n71044 100000\n38626 57886\n18562 27815\n15328 23005\n32994 49491\n27612 41397\n36315 54463\n561 844\n30119 45150\n21193 31774\n20456 30669\n53509 80269\n96169 100000\n70553 100000\n34805 52208\n99519 100000\n93794 100000\n84710 100000\n29966 44927\n99379 100000\n53087 79637\n25351 38003\n97452 100000\n47672 71498\n25004 37487\n66999 100000\n43734 65528\n5189 7829\n79185 100000\n62526 93799\n33972 50944\n94260 100000\n62016 93041\n5580 8420\n52467 78704\n6922 10449\n8444 12714\n24581 36850\n57169 85764\n92590 100000\n5537 8352\n1633 2453\n38407 57558\n51570 77367\n461 686\n14213 21330\n10496 15802\n36865 55286\n26565 39827\n26249 39367\n5377 8117\n7788 11739\n82761 100000\n71667 100000\n18846 28251\n19875 29803\n4362 6561\n49850 74762\n79766 100000\n9169 13795\n80305 100000\n87178 100000\n61283 91940\n74716 100000\n59099 88655\n89591 100000\n17541 26316\n40657 60921\n67978 100000\n22926 34401\n11220 16895\n34526 51786\n98969 100000\n76613 100000\n81047 100000\n38508 57712\n51520 77288\n19884 29819\n89564 100000\n85895 100000\n95671 100000\n81199 100000\n24362 36525\n35741 53600\n21309 31942\n26354 39518\n13606 20427\n75309 100000\n42213 63272\n23522 35288\n71696 100000\n89011 100000\n93292 100000\n1298 1951\n36298 54435\n77414 100000\n19758 29629\n37809 56668\n3840 5762\n24176 36256\n67737 100000\n884 1325\n41953 62884\n96665 100000\n53235 79860\n52762 79138\n47478 71202\n63031 94580\n76648 100000\n6696 10115\n88549 100000\n9996 15060\n25085 37614\n22695 34050\n77602 100000\n45459 68120\n95551 100000\n83214 100000\n41798 62646\n85470 100000\n93374 100000\n84939 100000\n344 503\n20002 30002\n1211 1821\n63979 95992\n22078 33134\n82870 100000\n55523 83270\n72175 100000\n98636 100000\n7569 11407\n12790 19245\n39308 58885\n31204 46775\n25552 38304\n57343 86028\n50952 76445\n37713 56523\n81849 100000\n27543 41288\n27848 41750\n91317 100000\n17421 26136\n16342 24531\n33234 49850\n11915 17926\n21383 32060\n46844 70251\n74300 100000\n82562 100000\n7456 11239\n88161 100000\n33437 50155\n76593 100000\n53377 80059\n60893 91358\n56908 85364\n20766 31138\n43525 65214\n6913 10435\n68413 100000\n98347 100000\n61155 91754\n40552 60765\n20080 30117\n5942 8974\n92416 100000\n42658 63929\n81963 100000\n65412 98119\n3682 5528\n20306 30450\n12771 19218\n21817 32735\n47514 71257\n31080 46591\n3976 5969\n33756 50625\n23709 35567\n51598 77410\n29667 44481\n79972 100000\n90549 100000\n39703 59483\n55299 82930\n28490 42711\n41497 62194\n91014 100000\n27619 41406\n8081 12171\n76753 100000\n10129 15263\n17129 25699\n4182 6283\n17514 26276\n95689 100000\n21947 32935\n94735 100000\n14477 21728\n4097 6151\n96164 100000\n22767 34158\n59417 89140\n44054 66009\n51534 77311\n58932 88397\n39206 58736\n82669 100000\n45345 67948\n63670 95523\n47307 70940\n79459 100000\n9280 13960\n73448 100000\n74340 100000\n41636 62409\n24729 37075\n48489 72716\n62744 94131\n9213 13856\n40366 60490\n69152 100000\n32092 48126\n39852 59716\n98718 100000\n86631 100000\n62 94\n24643 36944\n23664 35504\n65780 98662\n3073 4619\n48796 73181\n72142 100000\n83564 100000\n27452 41144\n2809 4222\n48690 73027\n20289 30428\n49415 74109\n45462 68123\n34523 51780\n71026 100000\n72151 100000\n83934 100000\n81435 100000\n61484 92246\n13812 20739\n46693 70012\n84051 100000\n68362 100000\n87785 100000\n14265 21404\n41949 62878\n52065 78102\n30247 45332\n58372 87567\n89025 100000\n26592 39864\n45180 67705\n83120 100000\n50984 76497\n64948 97430\n73666 100000\n59219 88837\n71548 100000\n42535 63749\n56948 85423\n24115 36164\n53503 80259\n69504 100000\n69072 100000\n57557 86349\n49477 74203\n75828 100000\n49249 73854\n88709 100000\n21872 32822\n8336 12542\n80593 100000\n80252 100000\n80097 100000\n13387 20116\n12069 18169\n48913 73360\n59751 89652\n33052 49581\n94392 100000\n32748 49116\n60134 90230\n90414 100000\n57566 86361\n76638 100000\n76590 100000\n97179 100000\n17948 26914\n29604 44384\n8435 12701\n75769 100000\n10909 16428\n63590 95401\n64420 96647\n17907 26860\n31514 47247\n61616 92440\n84004 100000\n15458 23199\n27574 41336\n53312 79969\n7901 11911\n89288 100000\n93701 100000\n59884 89849\n88447 100000\n5933 8959\n88731 100000\n46524 69761\n7448 11226\n76862 100000\n26037 39047\n93550 100000\n77203 100000\n95155 100000\n71238 100000\n45662 68441\n18326 27464\n96348 100000\n44768 67086\n38463 57641\n18075 27097\n28650 42947\n34340 51498\n78770 100000\n72065 100000\n41893 62795\n6364 9618\n15348 23039\n40312 60407\n97890 100000\n21561 32327\n42808 64138\n24619 36907\n23617 35432\n70315 100000\n58751 88129\n4511 6783\n48863 73282\n74529 100000\n40196 60235\n40944 61363\n78948 100000\n59930 89918\n55046 82534\n97273 100000\n43007 64438\n20840 31241\n95276 100000\n23828 35736\n58604 87909\n28605 42879\n36279 54404\n99130 100000\n69631 100000\n6693 10111\n54428 81639\n32016 48013\n60336 90522\n86901 100000\n46771 70137\n8280 12457\n25915 38861\n37431 56115\n35455 53167\n65133 97709\n38158 57180\n46054 69039\n12381 18631\n865 1300\n39826 59675\n61815 92738\n39478 59140\n97924 100000\n62414 93637\n10991 16553\n37627 56399\n78972 100000\n9 14\n25817 38714\n9306 14000\n14264 21402\n67905 100000\n14033 21061\n59798 89722\n54285 81434\n86640 100000\n33817 50716\n6620 9998\n59595 89415\n84728 100000\n14397 21612\n15041 22565\n79224 100000\n90595 100000\n52124 78195\n36603 54897\n32270 48390\n98384 100000\n51324 77008\n70482 100000\n32929 49387\n25141 37697\n98453 100000\n9072 13653\n71998 100000\n62302 93463\n30012 44996\n17201 25806\n3103 4661\n76036 100000\n87860 100000\n92511 100000\n9681 14559\n56221 84321\n14444 21680\n44672 66950\n67136 100000\n81523 100000\n85175 100000\n59317 88990\n46973 70442\n81854 100000\n75219 100000\n73982 100000\n4555 6853\n55628 83425\n88814 100000\n50764 76152\n14950 22431\n96005 100000\n45420 68062\n9404 14147\n77413 100000\n41782 62626\n63716 95590\n74734 100000\n98880 100000\n31312 46943\n48612 72911\n27162 40714\n35356 53020\n81272 100000\n52997 79492\n77011 100000\n60787 91185\n13616 20441\n56256 84369\n54328 81501\n73226 100000\n55637 83440\n39514 59196\n75891 100000\n13314 20006\n70261 100000\n77850 100000\n98497 100000\n8582 12926\n31793 47667\n70110 100000\n22045 33090\n552 830\n32758 49132\n95816 100000\n41279 61863\n37147 55700\n47902 71838\n6761 10210\n77772 100000\n49634 74451\n11918 17932\n31043 46535\n20209 30312\n9402 14143\n35891 53821\n88777 100000\n71830 100000\n69342 100000\n30453 45641\n30195 45255\n87116 100000\n58499 87755\n31503 47234\n24072 36104\n19690 29525\n28493 42716\n69584 100000\n34456 51672\n5731 8642\n95974 100000\n61840 92778\n33372 50053\n81534 100000\n94909 100000\n29659 44468\n36474 54701\n78018 100000\n36734 55092\n7746 11681\n82436 100000\n95599 100000\n73656 100000\n53523 80288\n28218 42302\n97722 100000\n35620 53418\n8725 13132\n5973 9024\n88370 100000\n76808 100000\n73177 100000\n44471 66643\n7195 10845\n58327 87509\n93040 100000\n32581 48866\n36236 54335\n51486 77236\n72202 100000\n41747 62575\n19439 29142\n20194 30291\n97097 100000\n47223 70811\n78487 100000\n3109 4672\n5244 7911\n46979 70452\n16330 24513\n95721 100000\n21625 32430\n22591 33900\n4154 6239\n5042 7603\n95047 100000\n69970 100000\n58275 87429\n61839 92777\n53709 80577\n12279 18486\n95248 100000\n22111 33186\n83196 100000\n56322 84475\n88651 100000\n14357 21552\n90181 100000\n57661 86504\n7419 11180\n949 1424\n77350 100000\n56494 84729\n53518 80281\n95009 100000\n95635 100000\n95383 100000\n59850 89801\n82942 100000\n80713 100000\n6845 10335\n42099 63103\n31873 47789\n42179 63221\n8502 12802\n72206 100000\n31760 47617\n15170 22763\n28800 43170\n48926 73376\n48891 73323\n92835 100000\n67547 100000\n76770 100000\n45200 67736\n86818 100000\n16169 24261\n35915 53853\n1480 2228\n76022 100000\n43638 65385\n42586 63824\n81470 100000\n92757 100000\n14296 21459\n19415 29109\n61417 92147\n82442 100000\n55065 82567\n54087 81144\n21484 32213\n83410 100000\n79140 100000\n28992 43464\n821 1233\n86988 100000\n99078 100000\n35235 52844\n63411 95145\n52663 78996\n78850 100000\n1224 1840\n14627 21953\n21080 31603\n51167 76770\n34738 52107\n4582 6894\n5216 7868\n41429 62090\n35787 53664\n398 586\n59563 89364\n93145 100000\n69420 100000\n40498 60681\n35100 52635\n29362 44020\n3653 5484\n27757 41608\n81885 100000\n3847 5773\n48715 73062\n96871 100000\n24862 37273\n97122 100000\n13000 19546\n55646 83454\n23280 34928\n96662 100000\n84023 100000\n41226 61788\n42221 63284\n34510 51757\n85709 100000\n50259 75375\n32601 48896\n99101 100000\n57757 86649\n76238 100000\n54250 81381\n67356 100000\n59642 89485\n61286 91946\n93945 100000\n1048 1576\n26264 39389\n8651 13026\n44027 65969\n61141 91734\n20338 30493\n45576 68297\n17366 26054\n32241 48346\n93223 100000\n25263 37872\n42795 64121\n72263 100000\n83916 100000\n91421 100000\n37435 56120\n78894 100000\n49557 74332\n86193 100000\n1867 2794\n8760 13182\n66675 100000\n70306 100000\n92330 100000\n68327 100000\n94986 100000\n74390 100000\n43327 64925\n12972 19504\n37714 56525\n90793 100000\n58181 87284\n91481 100000\n38238 57302\n79092 100000\n72543 100000\n28986 43455\n20255 30377\n57212 85826\n30562 45814\n65521 98282\n15773 23666\n88393 100000\n33687 50525\n10697 16109\n25185 37759\n9144 13756\n28915 43351\n18292 27409\n52821 79229\n58126 87207\n76172 100000\n63352 95051\n41287 61873\n29561 44323\n77186 100000\n21843 32773\n13383 20112\n80693 100000\n98200 100000\n6318 9546\n56385 84565\n35102 52638\n52819 79225\n19587 29369\n51347 77046\n56228 84334\n69540 100000\n21323 31966\n39918 59816\n21966 32963\n82788 100000\n41309 61903\n41533 62251\n10895 16407\n1992 2983\n65555 98331\n78059 100000\n96732 100000\n75944 100000\n80831 100000\n99612 100000\n10054 15150\n94261 100000\n19635 29440\n34784 52178\n42886 64253\n75505 100000\n10030 15111\n68037 100000\n33579 50362\n93952 100000\n77481 100000\n44556 66780\n49985 74968\n76240 100000\n2188 3279\n97824 100000\n53452 80181\n86457 100000\n73309 100000\n626 936\n84735 100000\n98459 100000\n20827 31219\n53229 79851\n65732 98595\n80641 100000\n23530 35299\n50929 76409\n25693 38526\n30122 45154\n52509 78764\n96489 100000\n87305 100000\n88238 100000\n80822 100000\n74345 100000\n29140 43683\n19126 28682\n1898 2842\n13778 20684\n86849 100000\n65233 97852\n64082 96143\n94434 100000\n25433 38128\n86857 100000\n55088 82602\n2145 3215\n33231 49846\n88527 100000\n5435 8201\n77171 100000\n4152 6236\n7242 10919\n81106 100000\n27880 41799\n73137 100000\n60931 91414\n57340 86024\n86762 100000\n39601 59327\n11791 17734\n34767 52150\n97208 100000\n96035 100000\n18113 27150\n22978 34482\n63510 95289\n47018 70517\n16234 24361\n37699 56504\n35364 53033\n40243 60304\n87716 100000\n52791 79184\n17259 25892\n4926 7427\n39505 59181\n8904 13397\n67259 100000\n52915 79372\n60124 90214\n42281 63376\n92496 100000\n48002 71982\n4061 6092\n69649 100000\n66431 99645\n50287 75420\n33408 50108\n5411 8164\n8508 12811\n66817 100000\n37342 55988\n14522 21795\n94119 100000\n71917 100000\n61225 91860\n59242 88875\n60461 90711\n56696 85038\n49512 74259\n26183 39266\n69103 100000\n47304 70936\n2623 3938\n14167 21261\n81702 100000\n67014 100000\n75143 100000\n41903 62810\n93422 100000\n78486 100000\n39544 59241\n20114 30166\n56587 84879\n82839 100000\n78848 100000\n28582 42844\n20518 30767\n24051 36072\n820 1231\n23912 35866\n25703 38542\n53008 79510\n25122 37672\n41260 61834\n18044 27055\n72748 100000\n82336 100000\n73139 100000\n10028 15107\n85569 100000\n90123 100000\n44212 66245\n73237 100000\n30650 45941\n11508 17325\n59593 89412\n10104 15228\n8201 12344\n76743 100000\n40648 60908\n23076 34625\n27204 40777\n57562 86355\n54850 82253\n21498 32233\n94611 100000\n33624 50428\n7744 11678\n50563 75838\n2148 3221\n64823 97238\n62186 93289\n40403 60545\n98250 100000\n1390 2092\n3602 5410\n50264 75384\n54382 81576\n90794 100000\n58717 88079\n42445 63623\n41067 61558\n17885 26831\n18462 27665\n93387 100000\n35739 53596\n57827 86748\n11782 17721\n11481 17285\n12161 18309\n35860 53775\n20872 31288\n87184 100000\n15237 22870\n75469 100000\n9275 13952\n63506 95283\n80131 100000\n24419 36612\n51323 77006\n34801 52201\n98225 100000\n22099 33166\n98469 100000\n94361 100000\n64976 97474\n45004 67433\n48822 73218\n18016 27013\n83144 100000\n94161 100000\n95890 100000\n65961 98931\n60329 90512\n80168 100000\n14685 22039\n37632 56407\n75856 100000\n38181 57218\n29554 44314\n35029 52534\n44819 67158\n90466 100000\n90099 100000\n40322 60422\n45156 67669\n51711 77580\n78643 100000\n44001 65929\n80232 100000\n33710 50559\n70607 100000\n80527 100000\n4382 6589\n93717 100000\n38840 58192\n95139 100000\n29369 44029\n92819 100000\n49448 74159\n3183 4781\n15624 23451\n53429 80145\n66939 100000\n59066 88605\n29434 44134\n50386 75570\n89763 100000\n50211 75308\n22049 33095\n85425 100000\n56095 84123\n65824 98726\n90363 100000\n53744 80628\n5267 7947\n91276 100000\n85568 100000\n36253 54362\n4293 6456\n68969 100000\n95755 100000\n58566 87857\n98034 100000\n44946 67348\n64404 96623\n34558 51834\n99030 100000\n47031 70535\n22804 34217\n48348 72500\n98008 100000\n53908 80873\n71832 100000\n25465 38175\n76091 100000\n4361 6559\n7573 11413\n88977 100000\n52178 78274\n11506 17323\n48706 73051\n10992 16554\n7458 11242\n90523 100000\n34475 51702\n45574 68293\n13655 20500\n5607 8456\n20796 31179\n97245 100000\n99425 100000\n93636 100000\n34524 51782\n74977 100000\n15206 22825\n94831 100000\n5142 7755\n69337 100000\n71944 100000\n28095 42122\n55872 83794\n69465 100000\n93867 100000\n11645 17527\n69614 100000\n97488 100000\n22585 33891\n9517 14315\n62658 94005\n83175 100000\n17174 25767\n627 938\n67163 100000\n32853 49272\n41263 61838\n16272 24418\n47705 71548\n4634 6974\n96892 100000\n60636 90969\n38724 58016\n73116 100000\n20339 30494\n85436 100000\n81090 100000\n74188 100000\n14146 21229\n41618 62381\n10184 15345\n85166 100000\n81147 100000\n42738 64038\n43285 64864\n20506 30749\n34498 51739\n92641 100000\n42675 63952\n10124 15257\n56880 85322\n53254 79887\n73080 100000\n35250 52869\n63893 95864\n28826 43212\n97144 100000\n82546 100000\n14406 21624\n67480 100000\n27516 41248\n42629 63889\n48739 73098\n82817 100000\n37097 55621\n20381 30559\n27409 41077\n2860 4295\n52880 79318\n7311 11020\n83936 100000\n7783 11731\n39608 59338\n5813 8766\n83026 100000\n51968 77953\n65154 97739\n37378 56042\n21189 31768\n38701 57986\n47127 70669\n50676 76009\n33412 50114\n77573 100000\n18730 28083\n99146 100000\n92708 100000\n88790 100000\n23190 34791\n75069 100000\n59490 89249\n29407 44092\n4430 6668\n40721 61018\n68335 100000\n21046 31554\n39329 58919\n30825 46214\n52059 78094\n2290 3438\n14624 21949\n18934 28382\n5058 7629\n57842 86771\n50225 75326\n74033 100000\n39437 59079\n15821 23735\n94765 100000\n36547 54814\n49162 73720\n13145 19762\n72178 100000\n43822 65659\n93597 100000\n97521 100000\n15555 23345\n18662 27973\n39081 58546\n13842 20782\n72627 100000\n36682 55008\n96416 100000\n30828 46219\n93027 100000\n85745 100000\n83289 100000\n16856 25277\n72519 100000\n4481 6743\n223 330\n11141 16775\n56414 84608\n1535 2312\n15402 23115\n65831 98734\n49596 74393\n54539 81795\n39597 59321\n41886 62784\n65490 98234\n15816 23727\n14389 21602\n67292 100000\n66192 99283\n49330 73981\n24521 36762\n60021 90056\n46525 69763\n56061 84075\n56833 85248\n2525 3793\n3427 5153\n72174 100000\n90036 100000\n9394 14129\n60283 90445\n38969 58389\n98704 100000\n12552 18891\n38449 57622\n1210 1820\n98385 100000\n25354 38007\n1520 2289\n98076 100000\n47640 71451\n17231 25848\n5045 7609\n64719 97097\n19039 28549\n35191 52778\n70162 100000\n29019 43508\n1913 2861\n65311 97962\n89364 100000\n13949 20942\n39384 59003\n37181 55743\n34747 52121\n92369 100000\n14928 22396\n43603 65333\n64555 96847\n30817 46203\n58216 87341\n44620 66871\n14856 22287\n7842 11821\n52645 78970\n254 373\n13889 20857\n11990 18043\n33309 49957\n81630 100000\n99910 100000\n24018 36022\n48029 72024\n6652 10047\n",
        "output": "27\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 103,
        "task_id": 541,
        "test_case_id": 36,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 99999\n35632 53587\n17790 26804\n65225 97834\n81739 100000\n16536 24911\n27927 42050\n75467 100000\n36899 55496\n18352 27657\n32467 48888\n93531 100000\n39907 60031\n48270 72485\n91354 100000\n26835 40425\n97679 100000\n89570 100000\n22155 33397\n71374 100000\n75665 100000\n72651 100000\n12288 18486\n26600 40071\n82226 100000\n36983 55624\n58091 87142\n92323 100000\n69421 100000\n18821 28362\n78153 100000\n35359 53189\n33948 51114\n21180 31924\n65345 98007\n98108 100000\n37858 56944\n78018 100000\n95446 100000\n358 521\n37661 56632\n72975 100000\n16974 25567\n48092 72225\n7792 11704\n1215 1816\n84409 100000\n11904 17908\n61682 92541\n26633 40120\n89056 100000\n55238 82885\n72061 100000\n14962 22534\n61242 91886\n36358 54686\n56352 84537\n53789 80717\n47047 70684\n34175 51444\n20083 30247\n64816 97217\n94470 100000\n90909 100000\n46581 69975\n77314 100000\n88846 100000\n73789 100000\n67757 100000\n1800 2717\n5887 8847\n85322 100000\n70975 100000\n59088 88644\n64286 96419\n46225 69439\n61820 92740\n70885 100000\n19204 28927\n96359 100000\n49778 74742\n17023 25642\n34393 51764\n17218 25948\n20332 30612\n36349 54673\n41493 62406\n76037 100000\n983 1469\n82593 100000\n57222 85842\n59884 89843\n10178 15310\n97540 100000\n60162 90267\n24888 37523\n54960 82460\n70995 100000\n66569 99847\n26342 39684\n41344 62186\n13121 19766\n71058 100000\n14329 21563\n47592 71490\n77382 100000\n31986 48174\n90904 100000\n23771 35829\n56431 84656\n1017 1518\n7162 10761\n62075 93120\n25369 38233\n5856 8802\n11896 17895\n64068 96093\n62481 93720\n20134 30320\n5394 8098\n26530 39968\n6474 9723\n20925 31530\n71092 100000\n74925 100000\n68321 100000\n37197 55945\n94417 100000\n98326 100000\n62898 94329\n12754 19199\n40406 60773\n93291 100000\n24245 36540\n57993 86996\n33978 51154\n53920 80909\n36633 55104\n52404 78670\n99552 100000\n97418 100000\n45892 68937\n77054 100000\n71406 100000\n60992 91509\n84954 100000\n36651 55130\n43841 65888\n49449 74251\n76946 100000\n13303 20038\n47713 71665\n46287 69538\n25819 38925\n57585 86371\n99223 100000\n54326 81508\n80369 100000\n2627 3973\n41456 62352\n70364 100000\n5889 8851\n6979 10477\n99857 100000\n3997 6030\n42849 64412\n81571 100000\n29958 45131\n25040 37740\n16043 24174\n92385 100000\n72606 100000\n95244 100000\n45248 68000\n68450 100000\n37080 55770\n74078 100000\n27813 41882\n30177 45467\n74090 100000\n52553 78901\n15514 23374\n73078 100000\n18431 27775\n61584 92390\n38771 58325\n2356 3562\n46795 70291\n84864 100000\n55092 82659\n41684 62690\n87362 100000\n83922 100000\n82977 100000\n20692 31170\n66683 100000\n27432 41309\n4351 6561\n40083 60291\n12023 18082\n79056 100000\n34387 51755\n12985 19558\n63521 95270\n40015 60190\n89471 100000\n77621 100000\n38393 57765\n50805 76273\n81969 100000\n91310 100000\n23401 35262\n25356 38212\n41390 62256\n4312 6501\n6447 9684\n11064 16650\n85493 100000\n50176 75336\n67959 100000\n61536 92321\n51215 76876\n92710 100000\n56497 84756\n36998 55646\n502 742\n91908 100000\n24587 37050\n13671 20584\n41079 61787\n38127 57363\n65885 98809\n36694 55190\n67798 100000\n69013 100000\n68512 100000\n13341 20095\n66221 99328\n47952 72020\n55582 83410\n52954 79494\n51737 77668\n66498 99742\n34753 52293\n15346 23123\n85221 100000\n38772 58327\n57580 86364\n22550 33977\n87876 100000\n49049 73644\n19429 29262\n43113 64808\n79116 100000\n99016 100000\n44026 66169\n9388 14111\n29274 44084\n9215 13845\n70206 100000\n57768 86653\n67491 100000\n43802 65833\n87359 100000\n66940 100000\n7164 10764\n96234 100000\n9461 14221\n31320 47168\n88043 100000\n69896 100000\n34389 51759\n30225 45540\n429 633\n98426 100000\n68725 100000\n90100 100000\n81543 100000\n91521 100000\n75452 100000\n35885 53969\n27949 42079\n96680 100000\n2541 3843\n9310 13990\n86792 100000\n23170 34922\n8921 13401\n52477 78777\n8226 12356\n51216 76878\n18260 27516\n45197 67928\n89786 100000\n83308 100000\n25566 38532\n3941 5947\n62908 94342\n4494 6776\n54585 81900\n84063 100000\n45823 68838\n39739 59784\n54644 81982\n56335 84513\n96586 100000\n44174 66386\n34585 52043\n73000 100000\n77698 100000\n85961 100000\n74497 100000\n66405 99601\n42473 63864\n52022 78091\n69304 100000\n27332 41162\n4360 6574\n47474 71317\n27306 41123\n57083 85632\n94875 100000\n38659 58153\n98330 100000\n71787 100000\n34155 51413\n84819 100000\n70247 100000\n22082 33292\n72698 100000\n33542 50497\n71188 100000\n25101 37833\n77279 100000\n72948 100000\n4391 6620\n13849 20855\n4100 6186\n24875 37503\n81862 100000\n34953 52579\n11881 17873\n5315 7985\n58652 87965\n18081 27238\n95205 100000\n98185 100000\n9204 13828\n80223 100000\n2601 3934\n25410 38297\n66834 100000\n33958 51128\n20183 30394\n93910 100000\n29179 43944\n85847 100000\n17117 25789\n45064 67725\n59299 88959\n84140 100000\n17911 26984\n17381 26182\n20378 30682\n93027 100000\n47516 71380\n78397 100000\n31367 47240\n28914 43536\n96707 100000\n97046 100000\n47024 70648\n13052 19658\n10487 15770\n41670 62668\n7509 11286\n17436 26269\n32812 49404\n60224 90358\n28614 43082\n36081 54265\n95596 100000\n61004 91528\n35257 53036\n79139 100000\n96823 100000\n11803 17761\n2120 3208\n63573 95354\n25290 38111\n62289 93440\n48423 72711\n48530 72877\n52151 78287\n5864 8813\n24090 36312\n33055 49783\n58114 87176\n86826 100000\n47765 71741\n10501 15791\n40245 60524\n53043 79630\n67616 100000\n35694 53683\n24923 37575\n63316 94966\n45483 68342\n43361 65188\n72805 100000\n45235 67984\n81835 100000\n57583 86368\n48225 72422\n83769 100000\n41279 62089\n21818 32888\n50687 76093\n72307 100000\n39788 59859\n68681 100000\n28690 43197\n4286 6461\n25943 39106\n76151 100000\n60819 91257\n23112 34836\n48108 72244\n94952 100000\n87662 100000\n76803 100000\n25180 37945\n22261 33556\n92766 100000\n89967 100000\n43294 65086\n93373 100000\n87584 100000\n76675 100000\n65523 98288\n81821 100000\n49439 74238\n10795 16233\n97222 100000\n23678 35691\n25800 38897\n83237 100000\n34019 51215\n16256 24498\n39140 58884\n81815 100000\n31116 46856\n73928 100000\n48206 72390\n90110 100000\n70809 100000\n68101 100000\n25663 38689\n82578 100000\n67174 100000\n26937 40579\n37395 56237\n53262 79953\n3904 5887\n23339 35171\n339 490\n74343 100000\n69149 100000\n43095 64784\n19788 29795\n21891 33005\n52853 79339\n57809 86716\n3307 5002\n28122 42344\n61892 92852\n15957 24044\n71598 100000\n5960 8959\n6621 9934\n3273 4955\n34583 52041\n8124 12203\n64772 97151\n14110 21251\n88435 100000\n84641 100000\n99969 100000\n54239 81378\n94179 100000\n8176 12284\n51401 77148\n98655 100000\n34004 51192\n75773 100000\n14784 22255\n26407 39786\n72441 100000\n16450 24777\n23829 35918\n95564 100000\n14093 21223\n58874 88316\n24138 36384\n41414 62291\n41950 63085\n92401 100000\n8806 13230\n22126 33357\n21102 31804\n75672 100000\n92732 100000\n90248 100000\n56572 84863\n35663 53629\n44862 67426\n2215 3355\n52488 78793\n41545 62483\n26698 40217\n60899 91369\n98352 100000\n88815 100000\n83367 100000\n63090 94619\n2902 4399\n33380 50255\n27226 41007\n71513 100000\n43391 65234\n46965 70553\n30276 45615\n96381 100000\n22839 34407\n44931 67522\n92175 100000\n77321 100000\n83536 100000\n56988 85492\n59562 89356\n79692 100000\n40954 61591\n56033 84068\n36549 54973\n38062 57261\n94751 100000\n28536 42959\n6926 10395\n7887 11851\n90047 100000\n49653 74563\n62322 93490\n1961 2959\n8928 13412\n25711 38762\n98442 100000\n86066 100000\n2653 4010\n39353 59209\n95911 100000\n22146 33384\n66183 99274\n96636 100000\n83995 100000\n42135 63361\n83102 100000\n5770 8665\n26721 40251\n35123 52840\n14281 21491\n64386 96571\n16091 24248\n96852 100000\n31649 47662\n97988 100000\n29231 44018\n44217 66449\n56488 84743\n97542 100000\n5853 8797\n56074 84131\n55931 83913\n3042 4601\n49865 74870\n58032 87050\n38103 57328\n39644 59641\n79407 100000\n13429 20228\n12424 18689\n94899 100000\n75130 100000\n57118 85687\n99688 100000\n82203 100000\n14069 21189\n74770 100000\n74759 100000\n79917 100000\n93042 100000\n21029 31689\n70991 100000\n34133 51383\n27109 40828\n2484 3757\n45927 68986\n11485 17287\n78867 100000\n53482 80269\n1296 1944\n52335 78566\n88326 100000\n62352 93534\n76072 100000\n40624 61100\n97997 100000\n45003 67632\n39811 59891\n15570 23458\n14559 21916\n47365 71151\n1475 2218\n80577 100000\n36440 54809\n5234 7875\n53511 80310\n45828 68846\n59139 88719\n30522 45976\n85055 100000\n81826 100000\n64566 96839\n1747 2633\n31499 47443\n34703 52220\n98243 100000\n99160 100000\n22630 34091\n4705 7092\n96069 100000\n14297 21517\n4716 7110\n11869 17856\n48658 73060\n23685 35701\n54351 81547\n68409 100000\n40930 61557\n91535 100000\n59085 88639\n82675 100000\n5247 7888\n95690 100000\n75312 100000\n80381 100000\n88306 100000\n58818 88232\n95826 100000\n39403 59281\n4797 7234\n19798 29809\n78801 100000\n46675 70112\n34652 52146\n5693 8551\n51720 77639\n96314 100000\n45354 68157\n93682 100000\n15475 23313\n45274 68039\n48348 72604\n84461 100000\n96456 100000\n82926 100000\n58805 88214\n38937 58580\n76919 100000\n50756 76198\n75900 100000\n66176 99264\n62469 93703\n36728 55238\n44157 66362\n42577 64013\n78349 100000\n31287 47120\n801 1199\n76356 100000\n46026 69138\n43534 65442\n64464 96686\n63118 94662\n37817 56883\n8725 13104\n20520 30901\n68524 100000\n69929 100000\n4327 6526\n71601 100000\n14447 21746\n9436 14185\n50178 75339\n5241 7882\n74332 100000\n26386 39753\n20454 30801\n60387 90601\n26326 39659\n39000 58670\n85425 100000\n39127 58863\n72049 100000\n91619 100000\n94613 100000\n16726 25191\n95832 100000\n17671 26627\n43578 65504\n85938 100000\n46583 69978\n80587 100000\n31530 47489\n85174 100000\n84645 100000\n18815 28353\n81195 100000\n8224 12354\n45122 67816\n75531 100000\n67439 100000\n49833 74821\n86994 100000\n61175 91785\n94561 100000\n49817 74798\n21037 31700\n25420 38312\n53067 79667\n7192 10806\n38693 58202\n15168 22845\n35505 53407\n42105 63315\n30567 46045\n33840 50949\n89711 100000\n54417 81645\n91071 100000\n33684 50714\n12644 19027\n84012 100000\n54754 82144\n39489 59410\n54262 81412\n52604 78974\n38829 58417\n87601 100000\n37040 55714\n58883 88329\n4737 7145\n89178 100000\n12530 18850\n50514 75831\n16837 25350\n62201 93313\n98503 100000\n86074 100000\n85444 100000\n30364 45743\n30590 46079\n49026 73608\n55168 82778\n80759 100000\n56236 84372\n92608 100000\n46605 70011\n44909 67491\n19062 28709\n24484 36895\n44356 66664\n33776 50853\n52902 79417\n79811 100000\n68604 100000\n11211 16868\n73221 100000\n28523 42939\n94630 100000\n92290 100000\n89804 100000\n67354 100000\n38954 58603\n51464 77243\n72046 100000\n25080 37803\n94192 100000\n12418 18679\n22003 33174\n80724 100000\n60755 91167\n35490 53385\n74153 100000\n11489 17291\n11389 17140\n97461 100000\n98075 100000\n31820 47921\n89158 100000\n56323 84494\n98408 100000\n80163 100000\n62625 93931\n12763 19215\n50024 75097\n12057 18134\n88177 100000\n4295 6475\n43756 65760\n93484 100000\n1120 1670\n64867 97290\n62313 93477\n64272 96396\n84996 100000\n2951 4463\n95867 100000\n42338 63656\n43536 65445\n28342 42672\n62867 94281\n79618 100000\n55389 83118\n51590 77437\n98339 100000\n58483 87711\n34211 51496\n90218 100000\n48686 73103\n85172 100000\n48274 72489\n82419 100000\n8198 12317\n8700 13064\n18817 28355\n2839 4305\n45676 68619\n9214 13844\n86948 100000\n24531 36961\n21739 32763\n27882 41982\n59540 89323\n26537 39979\n25996 39174\n90602 100000\n88838 100000\n72086 100000\n73150 100000\n75039 100000\n12541 18866\n19823 29845\n42428 63794\n88558 100000\n87153 100000\n30972 46640\n82022 100000\n10377 15612\n90228 100000\n6726 10095\n68180 100000\n92542 100000\n72127 100000\n43364 65192\n13541 20386\n63082 94608\n21188 31937\n52 75\n22580 34017\n92886 100000\n77819 100000\n81038 100000\n98388 100000\n93030 100000\n57149 85731\n15914 23979\n52352 78592\n1283 1926\n15502 23356\n74202 100000\n22800 34348\n39888 60005\n20831 31390\n40553 60998\n1801 2718\n72222 100000\n60095 90162\n3250 4917\n44440 66787\n65576 98360\n85863 100000\n76926 100000\n10046 15115\n3454 5222\n85247 100000\n3706 5593\n64052 96071\n6296 9460\n96756 100000\n6638 9963\n49140 73783\n77118 100000\n96454 100000\n74392 100000\n60128 90214\n48453 72753\n29090 43807\n64323 96474\n44764 67283\n47548 71426\n51427 77186\n29392 44260\n41020 61699\n22551 33979\n16594 24993\n33191 49981\n81273 100000\n29763 44834\n62846 94251\n64061 96084\n43704 65686\n79542 100000\n53298 80010\n61347 92045\n49002 73575\n91729 100000\n78416 100000\n29813 44905\n27388 41242\n28564 43004\n80700 100000\n81799 100000\n72334 100000\n15615 23526\n79078 100000\n50734 76164\n11316 17031\n92896 100000\n34199 51479\n72763 100000\n21481 32386\n64892 97330\n42324 63636\n41667 62663\n33735 50791\n77390 100000\n18982 28593\n85931 100000\n52909 79429\n59717 89587\n18195 27416\n28083 42283\n84603 100000\n36412 54767\n47228 70949\n1082 1616\n40476 60879\n31862 47987\n2238 3388\n28434 42811\n35553 53469\n99328 100000\n42141 63369\n97693 100000\n63138 94694\n12122 18235\n77713 100000\n80094 100000\n77468 100000\n19268 29027\n52896 79406\n47724 71677\n69750 100000\n97711 100000\n29208 43986\n30672 46204\n16973 25565\n33208 50005\n31883 48018\n75183 100000\n31677 47704\n43018 64666\n89832 100000\n39670 59683\n41524 62452\n85059 100000\n57750 86624\n76940 100000\n51694 77599\n41082 61791\n80376 100000\n73066 100000\n49352 74112\n87480 100000\n85021 100000\n6402 9610\n77790 100000\n45826 68842\n6825 10245\n88992 100000\n89488 100000\n76504 100000\n23132 34862\n85608 100000\n18197 27420\n98561 100000\n80717 100000\n39267 59072\n28689 43195\n58751 88127\n42858 64426\n73170 100000\n71686 100000\n86995 100000\n4047 6105\n30613 46115\n18434 27779\n8967 13474\n1686 2537\n54945 82438\n37075 55763\n26653 40150\n11821 17785\n81065 100000\n69661 100000\n18056 27202\n67950 100000\n99617 100000\n4450 6708\n46118 69275\n24790 37369\n63665 95502\n41585 62539\n33824 50927\n58043 87071\n55221 82859\n18891 28463\n70382 100000\n28041 42213\n47316 71079\n44738 67242\n13258 19971\n19163 28868\n42237 63507\n7268 10915\n45137 67836\n99327 100000\n78628 100000\n21814 32880\n1047 1562\n91509 100000\n35519 53424\n92773 100000\n69062 100000\n11105 16717\n35486 53379\n46845 70366\n35067 52752\n54516 81800\n18525 27920\n20009 30137\n76977 100000\n41273 62079\n79442 100000\n83869 100000\n37242 56014\n76742 100000\n70668 100000\n59157 88744\n16365 24658\n77606 100000\n60297 90461\n24407 36783\n75122 100000\n14344 21585\n610 912\n69051 100000\n12195 18346\n56698 85059\n56355 84542\n56964 85456\n70109 100000\n6900 10355\n22087 33299\n93768 100000\n84394 100000\n20165 30371\n4840 7299\n59660 89497\n98790 100000\n40175 60428\n2827 4287\n62583 93871\n51963 78004\n30135 45403\n67732 100000\n75851 100000\n52457 78748\n35787 53827\n68104 100000\n56861 85298\n42751 64269\n36863 55442\n94852 100000\n4363 6578\n84742 100000\n70583 100000\n29347 44195\n79959 100000\n70097 100000\n21235 32006\n73739 100000\n20033 30174\n63167 94739\n66559 99831\n5209 7836\n56494 84752\n64614 96910\n85530 100000\n67969 100000\n86498 100000\n20608 31039\n99698 100000\n83339 100000\n59350 89035\n16094 24252\n24398 36771\n20836 31400\n64130 96188\n5346 8030\n76627 100000\n16979 25575\n30900 46529\n29701 44735\n6995 10503\n26478 39894\n14570 21934\n34533 51967\n53682 80562\n9426 14170\n12916 19452\n3891 5867\n69292 100000\n17779 26787\n69754 100000\n47243 70970\n79886 100000\n21976 33136\n24292 36612\n31420 47323\n78916 100000\n71221 100000\n38600 58069\n35409 53266\n53788 80715\n95100 100000\n87441 100000\n5329 8004\n36800 55348\n87898 100000\n20122 30303\n93863 100000\n27884 41986\n23316 35138\n67561 100000\n97886 100000\n78750 100000\n60324 90505\n52485 78788\n78864 100000\n36164 54388\n83977 100000\n5787 8689\n37098 55793\n38783 58344\n55585 83415\n31205 46996\n81688 100000\n53761 80679\n18362 27673\n12908 19440\n75813 100000\n97865 100000\n58855 88289\n35516 53421\n98027 100000\n43472 65346\n83703 100000\n52578 78938\n34304 51637\n70665 100000\n81294 100000\n40862 61457\n60373 90580\n55560 83373\n15887 23940\n89874 100000\n66777 100000\n14426 21712\n62847 94253\n67630 100000\n86370 100000\n53676 80553\n46453 69785\n44744 67251\n84611 100000\n1762 2658\n8526 12798\n48859 73360\n89243 100000\n99255 100000\n37453 56324\n19498 29371\n44849 67406\n75390 100000\n53808 80750\n99846 100000\n58793 88194\n96669 100000\n4963 7479\n51951 77986\n52447 78733\n50787 76246\n49237 73934\n29580 44547\n53830 80781\n67362 100000\n13881 20905\n2772 4199\n76054 100000\n804 1203\n72856 100000\n70256 100000\n14688 22112\n50477 75776\n11127 16749\n64891 97328\n59445 89177\n84238 100000\n18641 28098\n72312 100000\n16693 25144\n73653 100000\n45908 68959\n97816 100000\n44567 66977\n41380 62241\n82069 100000\n35082 52776\n70250 100000\n38852 58454\n14484 21805\n79320 100000\n11784 17731\n5926 8909\n30313 45668\n64989 97469\n95151 100000\n91327 100000\n30296 45643\n4439 6692\n37348 56165\n25481 38406\n50839 76325\n20920 31523\n29176 43938\n61558 92351\n9371 14082\n34608 52080\n49435 74232\n22000 33169\n11643 17519\n22721 34230\n43671 65641\n62507 93755\n45186 67910\n85985 100000\n94551 100000\n37014 55670\n83635 100000\n68732 100000\n84856 100000\n2492 3771\n43627 65581\n53375 80119\n17560 26455\n42068 63263\n83807 100000\n24423 36808\n82058 100000\n79937 100000\n48460 72764\n23754 35804\n11029 16598\n24722 37264\n82242 100000\n24548 36988\n77070 100000\n79599 100000\n33421 50316\n39070 58774\n54452 81699\n58619 87917\n67729 100000\n55737 83632\n543 803\n54642 81979\n28308 42626\n19800 29811\n81494 100000\n23593 35563\n31755 47823\n83663 100000\n74360 100000\n56176 84286\n5204 7828\n82176 100000\n4707 7096\n65005 97495\n88819 100000\n65748 98612\n31175 46950\n55724 83613\n69370 100000\n15480 23322\n46826 70337\n21301 32112\n46091 69236\n83110 100000\n65623 98434\n10217 15373\n59273 88916\n20801 31344\n57696 86538\n89626 100000\n29139 43876\n1262 1891\n77262 100000\n52177 78329\n72791 100000\n82719 100000\n47582 71474\n15952 24039\n75046 100000\n90131 100000\n63388 95071\n54673 82023\n24294 36615\n38717 58238\n34900 52504\n17784 26794\n58353 87529\n95710 100000\n87953 100000\n36286 54576\n51795 77754\n23237 35019\n56984 85485\n17273 26032\n35070 52755\n6533 9808\n5650 8482\n75552 100000\n81891 100000\n2288 3463\n62391 93588\n15205 22896\n95976 100000\n1448 2176\n65854 98762\n61206 91832\n9115 13697\n39023 58706\n72462 100000\n11982 18019\n75214 100000\n23761 35815\n1833 2766\n50560 75903\n46021 69132\n84251 100000\n86539 100000\n41031 61716\n80302 100000\n30401 45796\n69605 100000\n6372 9567\n58467 87688\n36879 55465\n34647 52139\n5107 7685\n61085 91647\n94701 100000\n60198 90319\n72649 100000\n53693 80580\n21348 32188\n96603 100000\n35158 52892\n58697 88033\n24528 36958\n46181 69373\n20157 30358\n16811 25313\n70822 100000\n49619 74514\n12452 18730\n23326 35153\n91025 100000\n57516 86277\n61501 92270\n27019 40698\n35995 54132\n18411 27744\n30061 45286\n54459 81711\n35033 52699\n28449 42833\n99595 100000\n68566 100000\n93961 100000\n92722 100000\n85473 100000\n63293 94930\n5750 8636\n84091 100000\n45701 68656\n80874 100000\n55053 82600\n76628 100000\n26496 39921\n77839 100000\n61476 92234\n11797 17751\n75869 100000\n58911 88371\n59235 88856\n70339 100000\n12949 19501\n49247 73949\n542 802\n63607 95411\n82202 100000\n28803 43375\n46284 69534\n42225 63491\n95860 100000\n84290 100000\n30499 45942\n45196 67926\n75074 100000\n80651 100000\n43718 65705\n24169 36428\n35307 53111\n37046 55722\n94245 100000\n30458 45883\n85324 100000\n16309 24573\n80658 100000\n10485 15767\n12806 19286\n21636 32617\n3213 4862\n40133 60364\n825 1236\n60126 90211\n89197 100000\n54333 81516\n55405 83144\n47138 70818\n82789 100000\n67195 100000\n41745 62778\n74949 100000\n45825 68841\n10252 15422\n80668 100000\n94958 100000\n15335 23101\n4998 7528\n11387 17136\n16627 25042\n7139 10721\n78370 100000\n37099 55794\n88339 100000\n53667 80539\n65590 98381\n64232 96336\n19183 28898\n69394 100000\n44661 67124\n83467 100000\n31613 47612\n57459 86198\n1831 2763\n10734 16144\n68239 100000\n5386 8086\n73812 100000\n56297 84458\n43379 65215\n96873 100000\n43274 65054\n71148 100000\n65529 98295\n634 951\n58416 87615\n85007 100000\n76562 100000\n84002 100000\n72144 100000\n61040 91581\n17824 26856\n4274 6441\n66961 100000\n41823 62895\n50021 75092\n43138 64845\n29727 44778\n63586 95376\n20140 30328\n75687 100000\n20133 30319\n83189 100000\n26898 40523\n18506 27892\n15703 23661\n22417 33784\n92309 100000\n2297 3477\n54492 81766\n96988 100000\n91416 100000\n40790 61350\n12388 18633\n77383 100000\n16122 24300\n62626 93932\n73785 100000\n97464 100000\n11809 17769\n13120 19765\n30500 45943\n66621 99924\n66917 100000\n78089 100000\n2597 3928\n32300 48647\n20213 30440\n66844 100000\n30940 46590\n73851 100000\n60186 90303\n61370 92079\n84832 100000\n97522 100000\n75736 100000\n65604 98403\n956 1428\n92390 100000\n8692 13053\n7247 10886\n18993 28611\n6496 9756\n87222 100000\n90972 100000\n5429 8151\n2831 4293\n27092 40801\n89754 100000\n48476 72792\n39435 59329\n43219 64966\n16389 24691\n46561 69944\n98581 100000\n99194 100000\n93344 100000\n93224 100000\n26707 40230\n32139 48401\n13879 20901\n21395 32255\n18771 28286\n78347 100000\n99147 100000\n69561 100000\n53 76\n63395 95083\n62760 94129\n74679 100000\n37068 55755\n6297 9462\n11872 17861\n14899 22434\n85964 100000\n14261 21462\n34787 52341\n12537 18860\n2470 3734\n90843 100000\n47515 71379\n31389 47273\n92243 100000\n86059 100000\n17719 26701\n77074 100000\n19986 30103\n42880 64459\n33021 49735\n23317 35139\n32009 48203\n53021 79599\n49828 74814\n57018 85538\n30624 46130\n13571 20432\n21723 32740\n13093 19722\n21495 32407\n18896 28470\n11373 17117\n12722 19150\n92574 100000\n59083 88635\n6646 9974\n33476 50398\n54711 82080\n77793 100000\n85907 100000\n8787 13199\n9401 14131\n75860 100000\n70028 100000\n28298 42611\n22223 33498\n55736 83631\n22967 34607\n4770 7194\n88738 100000\n64475 96702\n50295 75512\n35298 53097\n746 1119\n16011 24125\n15768 23752\n52338 78572\n98312 100000\n49370 74135\n16877 25416\n66504 99750\n62235 93364\n47646 71566\n69127 100000\n63186 94767\n67109 100000\n16861 25390\n50375 75624\n39096 58812\n35779 53813\n4519 6811\n22802 34351\n34070 51289\n36914 55518\n93489 100000\n66910 100000\n55333 83030\n33 46\n40109 60329\n77989 100000\n51212 76872\n34996 52647\n82088 100000\n75069 100000\n24860 37478\n50299 75518\n15137 22795\n53977 80995\n66434 99646\n57663 86486\n65912 98851\n99312 100000\n10589 15922\n80196 100000\n49205 73886\n19465 29319\n85077 100000\n37550 56471\n50043 75126\n10754 16173\n19022 28654\n67809 100000\n30461 45888\n76156 100000\n76438 100000\n27502 41417\n35165 52903\n22984 34636\n85471 100000\n99795 100000\n22467 33855\n85693 100000\n4058 6123\n27301 41117\n4022 6067\n93001 100000\n21088 31782\n9524 14317\n11623 17486\n57890 86836\n44746 67255\n59300 88960\n27531 41464\n73087 100000\n36788 55331\n84079 100000\n77072 100000\n21802 32865\n61119 91704\n87508 100000\n61906 92875\n21888 33000\n31046 46748\n86554 100000\n86615 100000\n25189 37958\n47522 71389\n32161 48435\n39648 59648\n35868 53947\n53226 79904\n51639 77517\n54378 81587\n33282 50118\n46894 70438\n38316 57657\n61528 92309\n80578 100000\n85548 100000\n22268 33567\n77734 100000\n51849 77839\n11862 17846\n46456 69789\n36563 54997\n34618 52093\n88814 100000\n30691 46232\n41 58\n45115 67806\n54316 81492\n28985 43646\n43156 64870\n30144 45418\n65810 98698\n95081 100000\n22620 34078\n26488 39910\n65764 98630\n36207 54451\n53739 80648\n6606 9911\n15847 23884\n13538 20380\n76607 100000\n46550 69929\n63710 95568\n49791 74762\n83935 100000\n99557 100000\n81297 100000\n13044 19645\n95368 100000\n62221 93345\n4105 6193\n71291 100000\n65750 98614\n5 8\n37064 55747\n47505 71364\n88959 100000\n56821 85237\n61640 92478\n11548 17381\n91843 100000\n84328 100000\n32585 49071\n71181 100000\n18558 27975\n73407 100000\n96903 100000\n47845 71862\n54067 81123\n56963 85454\n23805 35885\n42951 64566\n65928 98879\n11738 17662\n87625 100000\n30456 45880\n97713 100000\n65716 98563\n93759 100000\n49345 74101\n93613 100000\n67952 100000\n24132 36373\n41715 62733\n4981 7503\n25386 38261\n59820 89749\n90003 100000\n99146 100000\n4688 7071\n91140 100000\n92890 100000\n73783 100000\n77513 100000\n56004 84025\n53380 80125\n77727 100000\n99242 100000\n3198 4838\n74422 100000\n20748 31261\n27261 41059\n51844 77832\n9255 13907\n64528 96785\n20254 30496\n30045 45262\n3384 5119\n45028 67671\n69277 100000\n11736 17660\n28042 42215\n32265 48592\n25174 37937\n87873 100000\n98052 100000\n20761 31281\n36845 55415\n84760 100000\n95476 100000\n22258 33552\n19413 29239\n45622 68544\n64574 96852\n58065 87103\n29473 44383\n2169 3282\n89600 100000\n54486 81756\n79435 100000\n90162 100000\n89944 100000\n17352 26142\n65858 98766\n54342 81530\n59058 88598\n83065 100000\n68146 100000\n82347 100000\n84471 100000\n58462 87681\n56986 85489\n83729 100000\n34789 52343\n83836 100000\n80368 100000\n62388 93583\n81343 100000\n7339 11026\n43166 64883\n92634 100000\n71344 100000\n79343 100000\n47631 71544\n26802 40374\n10106 15202\n43344 65162\n98879 100000\n24992 37671\n8582 12886\n52644 79028\n36444 54816\n9290 13960\n52997 79560\n73991 100000\n71400 100000\n24503 36923\n17845 26882\n81864 100000\n27825 41898\n89055 100000\n82365 100000\n69757 100000\n18609 28051\n41804 62865\n7991 12004\n89918 100000\n27018 40697\n73176 100000\n24561 37006\n93077 100000\n18737 28240\n13697 20623\n9439 14188\n23885 36003\n17865 26912\n17338 26123\n43009 64651\n66404 99599\n42555 63984\n31946 48112\n63315 94964\n10222 15380\n75199 100000\n57626 86433\n58004 87010\n97633 100000\n10237 15402\n4622 6970\n46876 70412\n53720 80622\n90055 100000\n73196 100000\n93577 100000\n6936 10412\n32603 49096\n5260 7906\n81049 100000\n55533 83331\n64311 96455\n87869 100000\n79221 100000\n44432 66776\n69431 100000\n3406 5151\n70719 100000\n67888 100000\n22220 33494\n22252 33543\n30210 45519\n47870 71899\n9036 13578\n98773 100000\n26004 39186\n13763 20724\n57519 86281\n48403 72683\n34140 51391\n79394 100000\n12952 19506\n53945 80946\n75265 100000\n37405 56253\n10142 15255\n5480 8229\n96152 100000\n20589 31007\n22927 34543\n83791 100000\n91625 100000\n28079 42276\n4499 6785\n73846 100000\n63147 94709\n41269 62072\n94377 100000\n17714 26693\n67297 100000\n83594 100000\n91652 100000\n38638 58123\n50522 75846\n50046 75131\n58986 88491\n93861 100000\n73543 100000\n15606 23511\n32951 49621\n9397 14124\n11458 17247\n51856 77850\n2075 3136\n84613 100000\n29044 43739\n53984 81007\n57379 86080\n49755 74708\n60680 91043\n48113 72249\n30782 46363\n95921 100000\n49696 74620\n31884 48020\n69403 100000\n88841 100000\n4 7\n74950 100000\n55758 83659\n94696 100000\n72332 100000\n12405 18657\n1629 2452\n30128 45393\n75523 100000\n37791 56841\n23116 34840\n36951 55572\n88069 100000\n69936 100000\n68943 100000\n20988 31628\n30997 46678\n44584 67005\n21319 32140\n99722 100000\n82182 100000\n68636 100000\n33718 50766\n83300 100000\n24268 36575\n41657 62646\n73246 100000\n71425 100000\n85283 100000\n22042 33231\n74717 100000\n43273 65053\n68587 100000\n48904 73425\n10054 15127\n46975 70568\n27015 40693\n36096 54288\n15919 23988\n86939 100000\n91219 100000\n30013 45214\n94432 100000\n12895 19419\n42323 63635\n18365 27677\n85513 100000\n12201 18356\n17482 26340\n15029 22630\n51511 77315\n57244 85878\n24929 37583\n44651 67109\n73963 100000\n3729 5629\n31634 47641\n8782 13191\n97097 100000\n27461 41352\n4661 7029\n24459 36863\n30161 45446\n91411 100000\n78271 100000\n40978 61633\n34396 51768\n78633 100000\n83968 100000\n42594 64041\n64250 96365\n98233 100000\n4330 6532\n63540 95303\n58033 87051\n68820 100000\n18906 28484\n43034 64689\n47166 70860\n23481 35386\n90748 100000\n9301 13974\n3236 4896\n25820 38927\n23945 36087\n5099 7673\n64405 96600\n67364 100000\n61026 91560\n80406 100000\n25447 38357\n9510 14296\n54519 81804\n31235 47040\n42017 63183\n10878 16361\n81640 100000\n88650 100000\n74886 100000\n74907 100000\n78844 100000\n82148 100000\n33655 50671\n34079 51303\n16598 24998\n65081 97609\n24317 36651\n44705 67191\n80360 100000\n18207 27436\n22029 33211\n39750 59800\n26884 40500\n70725 100000\n49016 73592\n87556 100000\n31622 47623\n27739 41771\n1705 2567\n82683 100000\n20763 31283\n42336 63653\n38486 57898\n55464 83230\n54965 82466\n75302 100000\n26559 40013\n98463 100000\n36834 55399\n39503 59429\n31221 47018\n77991 100000\n69019 100000\n73286 100000\n74561 100000\n63945 95912\n44857 67418\n49767 74726\n47404 71208\n81188 100000\n71969 100000\n12836 19329\n18271 27533\n90552 100000\n94086 100000\n95007 100000\n48527 72873\n44352 66658\n45544 68425\n88624 100000\n28910 43531\n18418 27755\n78437 100000\n14571 21936\n60085 90146\n42911 64508\n90275 100000\n81975 100000\n23638 35628\n52713 79130\n92380 100000\n26667 40174\n88539 100000\n78044 100000\n60242 90386\n24111 36343\n28940 43578\n68990 100000\n17991 27106\n82414 100000\n65236 97849\n3359 5083\n79574 100000\n86472 100000\n52961 79505\n28256 42546\n20798 31339\n3038 4595\n79286 100000\n48889 73399\n38671 58170\n986 1474\n84288 100000\n89282 100000\n77948 100000\n75481 100000\n34279 51602\n44232 66471\n88857 100000\n5801 8711\n94354 100000\n28328 42651\n35378 53217\n91766 100000\n6361 9551\n45290 68062\n15911 23975\n6943 10422\n67812 100000\n83999 100000\n88470 100000\n99015 100000\n87910 100000\n21961 33115\n91450 100000\n55640 83492\n4511 6800\n4321 6516\n64368 96544\n80334 100000\n24926 37579\n75184 100000\n82284 100000\n1004 1501\n39400 59277\n69345 100000\n8955 13455\n52792 79246\n20921 31524\n87311 100000\n98611 100000\n72336 100000\n73117 100000\n59302 88963\n37436 56300\n16770 25254\n4951 7462\n66367 99548\n83759 100000\n56108 84182\n7616 11443\n18810 28347\n24325 36663\n41336 62177\n88495 100000\n79313 100000\n92621 100000\n94202 100000\n27398 41254\n91289 100000\n586 873\n54105 81176\n13020 19610\n37463 56341\n54785 82192\n80014 100000\n56580 84877\n11586 17432\n15101 22740\n62358 93542\n69654 100000\n72555 100000\n99859 100000\n99333 100000\n86364 100000\n8859 13309\n37360 56185\n42239 63509\n76368 100000\n32271 48602\n68876 100000\n14307 21532\n48104 72240\n87768 100000\n60917 91395\n11637 17508\n45647 68577\n31216 47012\n69724 100000\n71028 100000\n45222 67963\n93850 100000\n47984 72070\n22819 34374\n41520 62446\n11346 17076\n30075 45312\n33228 50034\n73700 100000\n89265 100000\n96690 100000\n64966 97435\n22677 34162\n38350 57703\n69951 100000\n17880 26937\n4356 6568\n72835 100000\n66718 100000\n18931 28520\n9737 14638\n12602 18961\n4379 6602\n56071 84127\n88104 100000\n65212 97814\n56725 85100\n79277 100000\n71543 100000\n80971 100000\n1538 2309\n48715 73144\n29907 45048\n88690 100000\n80264 100000\n97176 100000\n32875 49498\n15616 23528\n820 1227\n19925 30011\n49392 74169\n87693 100000\n45994 69091\n4590 6924\n63169 94742\n40252 60534\n1901 2865\n42551 63978\n34714 52236\n6169 9262\n68097 100000\n57185 85787\n55288 82961\n27441 41322\n86148 100000\n87958 100000\n84345 100000\n8372 12567\n55837 83776\n29634 44632\n98721 100000\n20316 30590\n78290 100000\n50808 76276\n87642 100000\n86557 100000\n48198 72379\n71965 100000\n66482 99716\n34003 51190\n33067 49799\n33851 50966\n83166 100000\n53597 80434\n58299 87446\n18272 27534\n5619 8436\n32719 49257\n18720 28215\n57558 86336\n54838 82272\n35872 53951\n90235 100000\n81332 100000\n21384 32240\n59213 88824\n72019 100000\n53618 80465\n81369 100000\n13173 19843\n47496 71350\n7324 11003\n37517 56417\n47605 71511\n62702 94049\n57413 86134\n43542 65456\n85362 100000\n79798 100000\n19814 29832\n63313 94960\n36665 55149\n27118 40843\n20820 31374\n92041 100000\n88545 100000\n79819 100000\n33457 50372\n72759 100000\n75517 100000\n51368 77097\n18085 27245\n75599 100000\n37694 56685\n6886 10333\n69429 100000\n79621 100000\n21831 32910\n37204 55955\n68890 100000\n27404 41264\n21267 32057\n12707 19128\n33610 50601\n79900 100000\n22456 33840\n11621 17484\n62706 94054\n47589 71484\n29054 43754\n88206 100000\n59284 88935\n60466 90720\n11521 17339\n69217 100000\n86767 100000\n38423 57811\n40100 60317\n78626 100000\n64391 96579\n91345 100000\n50426 75701\n19654 29600\n78420 100000\n11549 17383\n32342 48709\n38132 57369\n22545 33971\n52778 79226\n72815 100000\n24784 37359\n42793 64328\n4893 7382\n58828 88248\n54512 81795\n13374 20143\n9408 14140\n72623 100000\n29222 44005\n25806 38905\n28377 42725\n95952 100000\n33600 50585\n45449 68292\n48308 72542\n44560 66966\n38265 57575\n96452 100000\n80470 100000\n7083 10633\n39699 59725\n1627 2449\n20079 30240\n85213 100000\n87964 100000\n91183 100000\n91916 100000\n10069 15149\n74658 100000\n92384 100000\n20649 31102\n68667 100000\n47189 70892\n56011 84038\n27977 42116\n73521 100000\n8182 12295\n63874 95813\n61050 91595\n32778 49352\n63958 95931\n1724 2596\n89655 100000\n19343 29139\n93412 100000\n75496 100000\n44817 67362\n3301 4995\n10758 16180\n80330 100000\n40818 61391\n91677 100000\n63992 95983\n26075 39290\n82772 100000\n17216 25945\n17503 26369\n87181 100000\n93957 100000\n51456 77231\n80490 100000\n74456 100000\n99156 100000\n86304 100000\n78253 100000\n83257 100000\n42919 64519\n26817 40397\n82870 100000\n56331 84506\n84216 100000\n6789 10195\n39767 59824\n58443 87654\n12876 19389\n84193 100000\n41496 62409\n27131 40861\n49230 73926\n93290 100000\n50784 76241\n76250 100000\n26403 39779\n67775 100000\n41366 62220\n95844 100000\n77017 100000\n41409 62284\n18839 28389\n13661 20568\n26738 40278\n45405 68231\n66907 100000\n1986 2999\n56239 84376\n99514 100000\n70169 100000\n6673 10018\n7165 10766\n36533 54948\n20507 30882\n1446 2174\n39572 59532\n48763 73220\n89963 100000\n20445 30788\n27386 41239\n68738 100000\n69435 100000\n18682 28160\n22817 34371\n24646 37137\n42080 63277\n298 431\n51724 77645\n58646 87956\n8815 13244\n76395 100000\n41643 62627\n58660 87978\n41242 62034\n59839 89780\n34288 51615\n13288 20016\n74333 100000\n5170 7776\n51725 77647\n31243 47052\n91127 100000\n72017 100000\n63878 95820\n69114 100000\n8422 12639\n39171 58933\n40362 60707\n78898 100000\n91990 100000\n62754 94120\n21826 32900\n63428 95132\n36355 54681\n36733 55246\n65403 98098\n99542 100000\n4110 6202\n43417 65269\n11118 16735\n7587 11400\n44743 67249\n10040 15105\n5633 8456\n77742 100000\n99431 100000\n78999 100000\n39404 59282\n39571 59530\n29186 43953\n10909 16414\n20857 31431\n26923 40562\n64605 96897\n42652 64129\n65446 98168\n512 757\n67453 100000\n48495 72824\n12284 18481\n94310 100000\n97087 100000\n42092 63294\n14181 21351\n209 302\n17471 26323\n17550 26442\n83800 100000\n77187 100000\n7193 10807\n72370 100000\n71175 100000\n23551 35500\n12590 18942\n16678 25122\n85004 100000\n20152 30348\n5254 7896\n78996 100000\n75092 100000\n99079 100000\n74731 100000\n4193 6326\n35750 53769\n94472 100000\n20212 30438\n31782 47864\n90744 100000\n79188 100000\n98933 100000\n41227 62015\n46951 70530\n21467 32365\n68444 100000\n24523 36952\n6578 9871\n95574 100000\n57047 85579\n32981 49665\n64526 96782\n69743 100000\n26469 39883\n37716 56722\n52048 78129\n98549 100000\n34834 52412\n79653 100000\n32921 49572\n97645 100000\n91225 100000\n80906 100000\n67846 100000\n49546 74403\n44722 67219\n37096 55791\n69152 100000\n30828 46425\n60898 91367\n53636 80491\n41123 61858\n32054 48272\n32668 49187\n20411 30735\n50337 75571\n41091 61806\n47585 71478\n63391 95075\n9253 13905\n41022 61701\n61001 91524\n18415 27750\n4591 6925\n28489 42893\n95898 100000\n83607 100000\n34906 52513\n73416 100000\n14036 21139\n76854 100000\n20116 30295\n48742 73189\n670 1002\n11355 17089\n80826 100000\n96809 100000\n76963 100000\n99887 100000\n77290 100000\n57015 85533\n34102 51339\n40445 60829\n55733 83626\n6868 10310\n82556 100000\n51837 77822\n26198 39472\n43502 65393\n9676 14543\n45207 67943\n56876 85322\n75453 100000\n40749 61290\n39 54\n38448 57847\n25276 38091\n25038 37736\n60925 91405\n37674 56654\n37746 56770\n15948 24033\n36253 54523\n94 141\n22733 34249\n1548 2323\n72887 100000\n39914 60039\n22238 33520\n83471 100000\n37347 56163\n23914 36045\n9882 14854\n77256 100000\n4023 6069\n1096 1635\n89149 100000\n28346 42676\n26803 40376\n76572 100000\n32646 49158\n9947 14956\n90313 100000\n28956 43602\n63952 95921\n21904 33026\n68494 100000\n34833 52411\n18669 28142\n9145 13741\n69984 100000\n77151 100000\n54131 81212\n37045 55721\n54936 82424\n25755 38829\n16786 25278\n31619 47619\n92899 100000\n99048 100000\n47161 70852\n82334 100000\n11620 17483\n51045 76622\n2231 3378\n73262 100000\n90961 100000\n83379 100000\n77949 100000\n12683 19089\n56865 85304\n68497 100000\n26161 39420\n33822 50925\n63746 95619\n1242 1860\n65167 97744\n24196 36467\n47685 71622\n28366 42709\n39227 59009\n22782 34324\n24473 36882\n94585 100000\n57923 86890\n11667 17556\n9315 13999\n35926 54034\n47955 72024\n16135 24317\n32983 49669\n14117 21261\n3067 4640\n25613 38607\n64318 96465\n50619 75997\n4381 6606\n99655 100000\n60838 91283\n18489 27865\n69137 100000\n38653 58145\n18374 27691\n27195 40958\n30546 46011\n16962 25547\n54224 81356\n91891 100000\n68818 100000\n37931 57057\n7028 10549\n4796 7233\n50121 75251\n70011 100000\n62299 93456\n28262 42557\n95397 100000\n65494 98246\n68018 100000\n72650 100000\n50852 76344\n43526 65429\n61154 91754\n16898 25447\n84691 100000\n59375 89075\n53755 80670\n57214 85829\n39337 59183\n36948 55567\n86912 100000\n70273 100000\n50263 75464\n32111 48360\n27237 41023\n31789 47874\n81784 100000\n86977 100000\n86404 100000\n93962 100000\n45988 69082\n27334 41165\n76552 100000\n88460 100000\n74201 100000\n24463 36869\n95063 100000\n30342 45711\n51574 77414\n42803 64343\n13255 19966\n12667 19064\n6202 9317\n38664 58161\n34581 52038\n87971 100000\n14302 21525\n66167 99249\n22373 33719\n3618 5461\n55636 83485\n735 1100\n80606 100000\n95856 100000\n19052 28694\n45433 68270\n31938 48103\n25717 38772\n96779 100000\n97691 100000\n19710 29687\n20553 30952\n52010 78074\n185 267\n79971 100000\n73701 100000\n77508 100000\n78208 100000\n75283 100000\n87716 100000\n45427 68263\n30952 46608\n57485 86231\n91237 100000\n70860 100000\n61690 92551\n83502 100000\n73240 100000\n70820 100000\n2049 3095\n40683 61187\n27940 42067\n72851 100000\n99962 100000\n63569 95348\n47559 71441\n25907 39056\n95697 100000\n49533 74384\n63620 95431\n64968 97438\n72162 100000\n75999 100000\n69677 100000\n29693 44725\n54363 81568\n6428 9651\n16525 24896\n99299 100000\n12720 19146\n78703 100000\n83698 100000\n97751 100000\n78433 100000\n52624 79001\n33634 50641\n71927 100000\n63654 95483\n35627 53579\n48523 72868\n83515 100000\n23088 34794\n79030 100000\n98557 100000\n19228 28963\n82971 100000\n69863 100000\n49094 73714\n18089 27252\n37956 57095\n38580 58042\n44279 66544\n37214 55971\n72803 100000\n19757 29755\n3353 5073\n8841 13281\n16880 25420\n76031 100000\n33892 51031\n23093 34804\n36866 55447\n15958 24045\n88413 100000\n60319 90498\n84282 100000\n61900 92867\n62567 93850\n77773 100000\n20478 30837\n741 1111\n92669 100000\n90007 100000\n54843 82278\n83022 100000\n61316 92000\n10100 15194\n19480 29343\n36736 55250\n72679 100000\n45126 67821\n35983 54114\n93166 100000\n51398 77144\n25629 38637\n22943 34569\n45031 67674\n3033 4588\n87925 100000\n22386 33736\n30002 45196\n66583 99866\n53725 80628\n33081 49823\n12468 18753\n37581 56517\n38130 57366\n34069 51287\n45421 68253\n71677 100000\n17668 26623\n67872 100000\n47820 71826\n80145 100000\n21166 31902\n37823 56892\n87954 100000\n82057 100000\n97990 100000\n85845 100000\n97301 100000\n37894 57002\n73354 100000\n57970 86963\n96364 100000\n59114 88683\n50519 75840\n50022 75093\n46457 69791\n21171 31910\n99775 100000\n24389 36758\n92777 100000\n24944 37602\n68728 100000\n78760 100000\n23577 35537\n60840 91286\n350 507\n31771 47848\n41221 62007\n80492 100000\n6389 9592\n76393 100000\n41801 62860\n33685 50716\n44888 67464\n57151 85735\n77315 100000\n51048 76627\n28670 43165\n37737 56755\n20362 30659\n88596 100000\n72716 100000\n84423 100000\n56137 84223\n27517 41442\n89752 100000\n75402 100000\n28286 42592\n40326 60652\n11308 17020\n653 978\n79265 100000\n69433 100000\n67329 100000\n68301 100000\n33501 50437\n9015 13546\n14363 21615\n23517 35446\n15143 22804\n21910 33034\n17076 25727\n1026 1532\n80576 100000\n33182 49968\n86832 100000\n57588 86377\n26779 40335\n72010 100000\n54081 81143\n93483 100000\n54427 81658\n27187 40948\n62249 93381\n73680 100000\n54703 82069\n52140 78272\n55732 83625\n63416 95115\n59507 89273\n67763 100000\n18985 28597\n33222 50025\n77089 100000\n1977 2982\n89427 100000\n72709 100000\n29926 45074\n95823 100000\n99366 100000\n66705 100000\n33853 50970\n25942 39105\n59491 89250\n28145 42379\n66842 100000\n83701 100000\n14687 22110\n11645 17522\n59899 89867\n62168 93262\n14019 21113\n84926 100000\n51010 76573\n1201 1795\n58423 87624\n41103 61823\n38362 57718\n67768 100000\n54026 81069\n48179 72347\n70797 100000\n97403 100000\n47928 71984\n86186 100000\n21108 31812\n85657 100000\n64890 97327\n34247 51549\n1689 2543\n45997 69096\n28163 42409\n31181 46960\n23661 35664\n26242 39535\n83588 100000\n30964 46628\n27196 40960\n90982 100000\n9285 13951\n88638 100000\n98117 100000\n11300 17006\n54940 82430\n34804 52367\n84408 100000\n63243 94853\n15571 23459\n35387 53229\n31271 47093\n61550 92339\n85071 100000\n88951 100000\n84004 100000\n19751 29748\n73068 100000\n83414 100000\n15287 23023\n62894 94323\n83075 100000\n50493 75799\n47396 71196\n1769 2669\n92291 100000\n31787 47871\n52139 78270\n62139 93217\n14207 21388\n98635 100000\n55783 83696\n34207 51490\n88984 100000\n90815 100000\n20261 30506\n14999 22587\n45050 67703\n13455 20265\n8459 12697\n87531 100000\n52698 79107\n42640 64113\n22988 34643\n69710 100000\n36814 55370\n39279 59092\n11309 17022\n23802 35881\n15839 23872\n97927 100000\n98587 100000\n60816 91253\n10807 16256\n85386 100000\n54108 81179\n11388 17138\n39827 59915\n26964 40618\n57254 85895\n39311 59143\n37747 56772\n15440 23261\n93817 100000\n99283 100000\n50399 75660\n1260 1887\n71309 100000\n34991 52638\n9680 14548\n39144 58890\n67257 100000\n69342 100000\n36508 54911\n44417 66753\n4189 6319\n13693 20616\n64753 97118\n40405 60772\n99872 100000\n8380 12578\n52321 78546\n36585 55035\n26240 39533\n58325 87486\n30615 46117\n62193 93301\n81754 100000\n93626 100000\n58397 87585\n66380 99566\n61686 92546\n9264 13921\n84239 100000\n30621 46126\n27192 40954\n10547 15858\n96295 100000\n3518 5313\n52985 79541\n67130 100000\n92279 100000\n88014 100000\n25969 39138\n6772 10169\n61555 92347\n30837 46438\n29058 43761\n58892 88342\n87894 100000\n25827 38939\n58317 87472\n13411 20199\n79994 100000\n6033 9061\n89806 100000\n91710 100000\n35425 53291\n57123 85695\n16344 24628\n67288 100000\n84381 100000\n39223 59003\n43845 65893\n50751 76191\n48924 73456\n11019 16582\n50083 75188\n34264 51577\n2476 3743\n57041 85572\n22887 34480\n18728 28226\n66818 100000\n33171 49950\n49243 73944\n61337 92030\n16098 24259\n10759 16181\n91329 100000\n15789 23785\n72688 100000\n35722 53730\n14630 22025\n35193 52947\n75591 100000\n9739 14640\n43572 65497\n27523 41451\n54704 82070\n65139 97697\n36491 54884\n1042 1556\n63948 95916\n14014 21104\n31824 47926\n44204 66432\n83112 100000\n31667 47691\n73777 100000\n14243 21439\n32847 49456\n85227 100000\n93432 100000\n76391 100000\n97090 100000\n71484 100000\n23731 35770\n12995 19574\n85971 100000\n24962 37630\n10465 15742\n71597 100000\n82788 100000\n67530 100000\n3175 4803\n76577 100000\n92020 100000\n93967 100000\n10211 15362\n982 1468\n12129 18247\n41693 62702\n99102 100000\n2140 3239\n34788 52342\n65941 98900\n36306 54607\n36144 54356\n9337 14031\n96173 100000\n2755 4170\n70293 100000\n90050 100000\n11350 17081\n25088 37816\n99717 100000\n99450 100000\n61477 92235\n79727 100000\n79311 100000\n37326 56135\n86720 100000\n107 158\n80392 100000\n49695 74619\n45432 68269\n21956 33106\n25570 38537\n98203 100000\n25221 38007\n54663 82009\n6846 10278\n12296 18498\n35640 53599\n75229 100000\n4201 6337\n23639 35629\n39629 59617\n15402 23208\n89315 100000\n96196 100000\n69648 100000\n25526 38476\n99528 100000\n24941 37597\n577 858\n44674 67141\n56076 84134\n52576 78935\n98625 100000\n94692 100000\n65415 98116\n97008 100000\n66359 99537\n97896 100000\n15623 23537\n3749 5660\n89399 100000\n31676 47703\n96268 100000\n16906 25459\n6605 9910\n38121 57353\n58615 87910\n88700 100000\n68963 100000\n55504 83289\n21569 32520\n91243 100000\n37539 56453\n3818 5753\n80496 100000\n75821 100000\n44711 67201\n55419 83166\n61390 92109\n15876 23924\n82703 100000\n28320 42643\n20485 30848\n69028 100000\n24307 36635\n41362 62213\n8147 12243\n94210 100000\n37138 55857\n37916 57033\n21311 32129\n69258 100000\n55491 83270\n29924 45071\n35896 53986\n14273 21479\n36931 55544\n71222 100000\n12471 18758\n25167 37926\n57799 86703\n90566 100000\n55046 82587\n18254 27505\n89903 100000\n95320 100000\n49996 75056\n10722 16128\n58616 87912\n44108 66288\n79291 100000\n97525 100000\n56615 84931\n56950 85435\n7031 10554\n66992 100000\n96097 100000\n37542 56458\n91255 100000\n79681 100000\n95949 100000\n22205 33471\n7756 11653\n8503 12769\n67467 100000\n66075 99100\n50160 75313\n13132 19783\n53073 79676\n13309 20047\n10692 16083\n55305 82990\n39198 58971\n79644 100000\n5166 7771\n14564 21924\n56550 84835\n98058 100000\n70620 100000\n7496 11270\n76274 100000\n46850 70373\n47896 71939\n71246 100000\n90632 100000\n56279 84431\n471 692\n74709 100000\n50780 76233\n50643 76032\n99993 100000\n1544 2317\n56302 84464\n12031 18092\n26770 40325\n19258 29011\n9141 13735\n63744 95617\n94855 100000\n76026 100000\n1236 1851\n8225 12355\n69373 100000\n79491 100000\n43805 65837\n19877 29937\n8540 12820\n82853 100000\n66209 99310\n41458 62354\n11991 18033\n10158 15280\n75227 100000\n96058 100000\n85854 100000\n56816 85230\n51723 77644\n23376 35229\n81749 100000\n56995 85502\n71970 100000\n48404 72684\n76834 100000\n84466 100000\n9462 14223\n61413 92144\n27051 40741\n82925 100000\n76065 100000\n73313 100000\n54352 81549\n76082 100000\n81480 100000\n55735 83629\n99029 100000\n47563 71447\n77646 100000\n25194 37967\n63960 95934\n4011 6051\n43027 64679\n72786 100000\n33123 49885\n38766 58319\n71473 100000\n36200 54440\n1908 2877\n98872 100000\n9316 14000\n62888 94314\n32323 48681\n14159 21323\n9218 13850\n7127 10701\n74156 100000\n26245 39539\n79501 100000\n42581 64019\n13796 20774\n65820 98713\n22444 33822\n45983 69076\n77969 100000\n60844 91292\n49359 74120\n37688 56676\n42674 64160\n39800 59876\n11071 16662\n14114 21257\n18238 27482\n70369 100000\n44527 66922\n10905 16407\n18758 28268\n40056 60252\n48224 72420\n24687 37203\n29051 43749\n84296 100000\n4923 7424\n91795 100000\n89027 100000\n33428 50326\n38840 58434\n78457 100000\n1070 1599\n46304 69567\n32581 49065\n65464 98196\n7502 11278\n39499 59424\n59096 88657\n13842 20842\n30083 45325\n92013 100000\n5265 7912\n39974 60127\n88876 100000\n17956 27052\n37126 55838\n60977 91487\n22847 34421\n64204 96300\n80073 100000\n10580 15907\n26812 40388\n34128 51376\n95990 100000\n96154 100000\n3828 5768\n62197 93308\n23499 35416\n71215 100000\n46844 70365\n43958 66068\n76014 100000\n47607 71513\n51000 76558\n2646 3998\n31847 47964\n92113 100000\n31604 47598\n54854 82295\n83278 100000\n88657 100000\n29842 44953\n99992 100000\n92690 100000\n85571 100000\n64628 96931\n72863 100000\n42389 63736\n7041 10569\n36991 55635\n72178 100000\n62969 94434\n52937 79467\n55356 83071\n82816 100000\n65812 98702\n76141 100000\n55565 83382\n40523 60948\n96401 100000\n95705 100000\n35181 52929\n51713 77629\n47424 71238\n51635 77511\n2954 4467\n47091 70751\n92282 100000\n70667 100000\n34333 51681\n3011 4555\n36485 54875\n41610 62579\n87454 100000\n92965 100000\n98224 100000\n29829 44934\n97980 100000\n15578 23469\n2128 3221\n59582 89386\n26035 39230\n9658 14519\n56042 84081\n43106 64799\n28031 42197\n31304 47147\n7532 11319\n52956 79498\n65030 97535\n96419 100000\n88331 100000\n81272 100000\n21288 32092\n12743 19183\n86408 100000\n95344 100000\n59939 89925\n80396 100000\n91650 100000\n5639 8465\n44923 67508\n12249 18430\n91732 100000\n88843 100000\n9815 14758\n99232 100000\n13547 20395\n35662 53627\n43317 65120\n23648 35643\n72374 100000\n56383 84586\n28188 42446\n96047 100000\n527 778\n52766 79210\n70306 100000\n5117 7698\n32381 48765\n25439 38343\n82802 100000\n8304 12469\n17759 26757\n11160 16794\n31759 47829\n93102 100000\n50132 75270\n5939 8928\n68514 100000\n2034 3073\n94014 100000\n33085 49830\n53191 79851\n47770 71751\n36488 54880\n39985 60145\n18856 28411\n75849 100000\n486 717\n80883 100000\n99153 100000\n35825 53883\n76373 100000\n75872 100000\n40093 60306\n64127 96184\n96588 100000\n85074 100000\n48565 72925\n95350 100000\n70054 100000\n7152 10746\n97479 100000\n94018 100000\n13608 20488\n16055 24192\n242 345\n77162 100000\n37864 56954\n78800 100000\n32979 49662\n90836 100000\n71695 100000\n15397 23201\n84783 100000\n31115 46854\n62654 93978\n52287 78492\n74670 100000\n76155 100000\n84791 100000\n27270 41072\n80666 100000\n93451 100000\n68446 100000\n72853 100000\n34638 52125\n79792 100000\n48716 73146\n22 32\n81076 100000\n72187 100000\n37508 56405\n77434 100000\n35858 53934\n78358 100000\n82452 100000\n77507 100000\n9078 13640\n93609 100000\n84076 100000\n37706 56705\n30234 45555\n42646 64121\n92083 100000\n58750 88126\n26270 39575\n50147 75293\n68804 100000\n14262 21464\n89891 100000\n84897 100000\n6001 9015\n66343 99511\n9847 14802\n35532 53441\n63963 95939\n76921 100000\n27906 42021\n79106 100000\n25001 37683\n55941 83928\n6070 9114\n85718 100000\n61145 91741\n58176 87265\n78712 100000\n79033 100000\n37937 57067\n11700 17608\n57301 85970\n51592 77440\n60842 91289\n66535 99796\n40584 61041\n59312 88976\n92078 100000\n26804 40377\n34219 51507\n33335 50193\n41862 62954\n1672 2517\n39863 59969\n76270 100000\n69268 100000\n71771 100000\n82052 100000\n28970 43625\n41932 63059\n63595 95393\n44476 66839\n46165 69350\n22850 34425\n29776 44849\n27738 41770\n1225 1832\n44730 67229\n80273 100000\n86534 100000\n732 1095\n23415 35286\n76241 100000\n83677 100000\n52860 79348\n12165 18304\n90234 100000\n71507 100000\n71416 100000\n93900 100000\n63086 94613\n65736 98592\n1334 1998\n91171 100000\n99860 100000\n70601 100000\n77036 100000\n49263 73974\n54061 81114\n73923 100000\n72288 100000\n86333 100000\n41876 62974\n2382 3601\n1839 2774\n76304 100000\n73550 100000\n29820 44917\n34113 51353\n59588 89394\n99531 100000\n25743 38811\n47533 71405\n27372 41219\n781 1172\n65250 97869\n69286 100000\n65815 98707\n78205 100000\n57417 86141\n68222 100000\n57614 86414\n28493 42899\n20903 31498\n71961 100000\n63162 94730\n34336 51685\n80100 100000\n86518 100000\n1609 2421\n85253 100000\n53406 80166\n58930 88400\n14707 22138\n16408 24718\n26740 40280\n63237 94843\n4702 7088\n80801 100000\n56364 84555\n80342 100000\n61960 92947\n2994 4531\n41251 62045\n82411 100000\n14957 22527\n71909 100000\n96945 100000\n45862 68894\n78282 100000\n48853 73353\n64150 96217\n4308 6495\n69736 100000\n34580 52036\n29295 44117\n18066 27216\n10730 16140\n63524 95274\n4551 6863\n50544 75880\n40540 60977\n56722 85096\n26852 40451\n21072 31757\n33400 50284\n37433 56296\n44258 66513\n51 74\n80377 100000\n25705 38753\n99989 100000\n44330 66619\n54650 81991\n55596 83430\n15996 24102\n31173 46947\n98106 100000\n83952 100000\n69560 100000\n86728 100000\n43366 65195\n4616 6960\n28620 43089\n80550 100000\n34512 51939\n13447 20251\n72325 100000\n68560 100000\n69086 100000\n58741 88112\n55211 82844\n76034 100000\n66918 100000\n72236 100000\n88869 100000\n43927 66019\n74083 100000\n43616 65564\n73839 100000\n35622 53572\n34700 52216\n15674 23618\n5661 8500\n70141 100000\n93129 100000\n95105 100000\n41830 62905\n4246 6403\n67754 100000\n83897 100000\n6094 9147\n99148 100000\n19730 29719\n90365 100000\n17888 26950\n39283 59098\n32246 48562\n25982 39155\n19953 30052\n24732 37279\n22419 33786\n5460 8199\n45223 67964\n83381 100000\n40948 61584\n7242 10878\n10573 15897\n23854 35956\n76403 100000\n18828 28372\n38928 58567\n50509 75822\n93157 100000\n23995 36170\n75527 100000\n83720 100000\n58272 87407\n16373 24670\n73444 100000\n31188 46971\n91827 100000\n58140 87213\n98255 100000\n29538 44482\n43160 64876\n59022 88544\n35674 53649\n51097 76700\n4787 7218\n30134 45402\n87794 100000\n54690 82049\n21671 32671\n34860 52448\n76971 100000\n64242 96352\n35450 53329\n40982 61639\n50259 75458\n88862 100000\n34062 51276\n74903 100000\n10266 15444\n4856 7323\n86154 100000\n62116 93183\n86289 100000\n66695 100000\n2607 3943\n16742 25213\n36535 54951\n94764 100000\n59960 89957\n92813 100000\n12204 18361\n16609 25016\n20865 31444\n85125 100000\n61182 91796\n9487 14263\n12688 19097\n84608 100000\n64426 96632\n62753 94118\n89930 100000\n57216 85832\n50174 75333\n57407 86124\n69904 100000\n34120 51364\n29786 44862\n41495 62408\n36015 54162\n70813 100000\n89300 100000\n10072 15154\n88924 100000\n5996 9008\n22645 34113\n19580 29488\n83497 100000\n16916 25476\n6479 9730\n21507 32424\n9349 14050\n28566 43007\n27496 41407\n15369 23160\n4435 6687\n9491 14268\n58419 87618\n46140 69311\n75718 100000\n45792 68791\n71399 100000\n9229 13866\n85554 100000\n89544 100000\n93659 100000\n84759 100000\n23288 35094\n15657 23591\n64135 96196\n6081 9129\n48675 73086\n73505 100000\n38999 58669\n23135 34865\n15641 23566\n31146 46905\n36923 55531\n62957 94415\n36204 54446\n37451 56322\n97652 100000\n5685 8535\n62683 94022\n10842 16305\n18423 27764\n40137 60370\n60562 90866\n69881 100000\n72397 100000\n67398 100000\n2606 3941\n31360 47229\n15848 23886\n3849 5800\n65000 97485\n7543 11335\n85652 100000\n82207 100000\n57606 86400\n50686 76092\n47747 71712\n23911 36040\n92875 100000\n41669 62667\n15361 23146\n14636 22035\n36714 55218\n37116 55823\n55299 82980\n9405 14136\n22713 34218\n23194 34957\n14376 21637\n82297 100000\n23044 34726\n3164 4785\n77396 100000\n49875 74884\n85680 100000\n11837 17808\n571 848\n9610 14448\n306 441\n16591 24988\n26976 40637\n54574 81884\n70790 100000\n50482 75784\n76890 100000\n60159 90261\n22107 33328\n32293 48638\n97070 100000\n94612 100000\n66066 99087\n28260 42553\n27344 41179\n64139 96202\n45154 67863\n84684 100000\n44575 66990\n99575 100000\n7068 10611\n2502 3785\n57892 86839\n22929 34546\n55756 83656\n6137 9216\n60690 91058\n8891 13358\n69224 100000\n78605 100000\n739 1107\n24591 37056\n19075 28729\n28309 42628\n89812 100000\n52272 78469\n49417 74205\n2235 3384\n64595 96884\n89572 100000\n71260 100000\n82246 100000\n6242 9374\n70811 100000\n99321 100000\n34694 52208\n65988 98973\n11126 16747\n88098 100000\n77999 100000\n74419 100000\n10872 16352\n21337 32170\n95721 100000\n56079 84137\n73832 100000\n55848 83793\n15149 22814\n70957 100000\n31859 47982\n51786 77740\n6256 9395\n44809 67349\n82864 100000\n43376 65212\n19975 30088\n70318 100000\n95798 100000\n68526 100000\n23515 35443\n99905 100000\n73009 100000\n37624 56580\n57427 86154\n1495 2244\n2066 3121\n87368 100000\n55040 82578\n54877 82331\n43134 64839\n16327 24601\n18403 27731\n29878 45004\n30646 46161\n67184 100000\n1671 2515\n31453 47372\n99816 100000\n57463 86202\n88868 100000\n27988 42130\n56785 85181\n83552 100000\n82720 100000\n75047 100000\n94102 100000\n87680 100000\n40314 60633\n68852 100000\n63430 95134\n64814 97213\n41592 62550\n19049 28690\n55359 83077\n52266 78458\n97529 100000\n19476 29337\n86200 100000\n76305 100000\n23588 35555\n46721 70185\n61552 92342\n40913 61530\n31497 47440\n58846 88274\n23606 35582\n13473 20291\n74007 100000\n91014 100000\n88673 100000\n69285 100000\n99559 100000\n2352 3555\n51253 76930\n6390 9594\n5011 7547\n78591 100000\n71568 100000\n75487 100000\n25409 38295\n55971 83974\n95682 100000\n45341 68140\n11939 17958\n30804 46394\n29214 43995\n28183 42440\n78757 100000\n92220 100000\n23611 35589\n2262 3425\n94725 100000\n73838 100000\n84043 100000\n30184 45479\n22742 34262\n13015 19603\n1758 2651\n1465 2205\n33378 50253\n10800 16243\n8626 12951\n45444 68283\n19739 29731\n42692 64184\n95484 100000\n2832 4294\n40435 60815\n72757 100000\n59506 89271\n80095 100000\n96123 100000\n53007 79576\n12937 19485\n19156 28856\n62138 93215\n55121 82705\n34550 51995\n54027 81070\n12369 18606\n29551 44503\n38750 58291\n66773 100000\n5498 8252\n48781 73246\n32945 49610\n51461 77238\n35891 53979\n87246 100000\n67440 100000\n20419 30747\n24154 36403\n87891 100000\n21095 31791\n36072 54249\n89915 100000\n14141 21298\n33831 50936\n9602 14436\n4401 6635\n99537 100000\n27181 40938\n80987 100000\n3987 6015\n63085 94611\n21823 32895\n96095 100000\n62234 93363\n93515 100000\n40329 60656\n97966 100000\n90820 100000\n89304 100000\n12199 18352\n69343 100000\n98702 100000\n81609 100000\n9257 13910\n68546 100000\n15907 23970\n74996 100000\n19699 29669\n80723 100000\n92683 100000\n25265 38079\n74799 100000\n47245 70973\n69465 100000\n48038 72148\n63777 95668\n74868 100000\n30652 46172\n81229 100000\n94927 100000\n12146 18276\n39745 59793\n76194 100000\n54698 82060\n20486 30850\n56875 85321\n89194 100000\n57256 85898\n10803 16249\n22469 33859\n34668 52171\n20171 30378\n88232 100000\n33134 49899\n14829 22324\n62292 93445\n66770 100000\n28186 42444\n87334 100000\n91524 100000\n24557 37000\n70434 100000\n11090 16694\n73844 100000\n26292 39610\n16415 24730\n51940 77969\n86993 100000\n71488 100000\n2643 3995\n75947 100000\n19146 28842\n39487 59407\n57133 85708\n99251 100000\n89257 100000\n48791 73261\n52646 79030\n46097 69245\n86418 100000\n10373 15605\n20007 30133\n88046 100000\n36949 55568\n4952 7464\n41735 62762\n24707 37236\n36670 55157\n27021 40701\n5603 8412\n12243 18421\n57592 86381\n1846 2784\n28691 43198\n89201 100000\n14040 21146\n91525 100000\n96883 100000\n12234 18406\n88404 100000\n85768 100000\n62637 93949\n1874 2825\n44852 67410\n38813 58391\n24129 36368\n17230 25966\n51608 77465\n31908 48056\n65213 97815\n6491 9746\n73122 100000\n3382 5116\n6060 9100\n93032 100000\n42198 63450\n81552 100000\n67176 100000\n1533 2300\n63180 94759\n59118 88688\n21150 31878\n32600 49091\n59766 89661\n11749 17676\n88974 100000\n30843 46447\n15941 24021\n25760 38838\n89324 100000\n65278 97908\n67909 100000\n99453 100000\n6569 9859\n73309 100000\n44718 67213\n6213 9333\n89727 100000\n75525 100000\n8839 13279\n85117 100000\n34683 52192\n79213 100000\n43920 66008\n26065 39274\n58534 87787\n91687 100000\n91053 100000\n23631 35617\n92006 100000\n20386 30692\n10851 16319\n5167 7772\n64656 96972\n39623 59608\n35282 53073\n52595 78965\n44180 66395\n71307 100000\n50208 75380\n26064 39273\n90759 100000\n14184 21355\n72458 100000\n28039 42209\n39322 59161\n84857 100000\n49493 74321\n14568 21931\n39016 58696\n56385 84590\n9392 14117\n5594 8399\n84412 100000\n78368 100000\n64743 97106\n92060 100000\n36955 55580\n68863 100000\n3413 5162\n61509 92281\n78436 100000\n74828 100000\n2880 4367\n52541 78880\n76689 100000\n26917 40552\n43125 64826\n76047 100000\n32798 49383\n20077 30238\n69627 100000\n11600 17455\n40026 60210\n53270 79966\n76567 100000\n30813 46408\n99907 100000\n78092 100000\n34371 51733\n20709 31199\n62657 93983\n50729 76158\n89280 100000\n79684 100000\n4406 6643\n23988 36158\n22032 33215\n38356 57711\n97413 100000\n86756 100000\n20338 30623\n28091 42296\n74797 100000\n97785 100000\n62694 94039\n97033 100000\n96942 100000\n95975 100000\n15228 22931\n8373 12568\n94445 100000\n74533 100000\n39161 58915\n77083 100000\n759 1139\n97113 100000\n77966 100000\n15642 23568\n33887 51024\n20632 31074\n55526 83322\n96819 100000\n12062 18141\n69630 100000\n59066 88610\n24110 36341\n72319 100000\n75941 100000\n74730 100000\n35763 53787\n88919 100000\n16903 25455\n67247 100000\n47012 70627\n5504 8261\n33251 50072\n74853 100000\n34017 51212\n65961 98931\n91679 100000\n45560 68449\n59493 89253\n54350 81545\n64231 96334\n93296 100000\n51588 77435\n40226 60497\n14445 21743\n49344 74099\n3557 5369\n17629 26565\n23630 35615\n10513 15807\n22933 34552\n10512 15806\n97019 100000\n64845 97259\n51376 77109\n64598 96888\n20991 31632\n1378 2071\n88639 100000\n59635 89462\n81906 100000\n16849 25370\n96197 100000\n69325 100000\n75630 100000\n5902 8872\n88584 100000\n21359 32206\n25751 38823\n3029 4582\n31272 47095\n91369 100000\n76382 100000\n86121 100000\n97333 100000\n99161 100000\n93390 100000\n98623 100000\n13193 19873\n64942 97398\n37809 56871\n67279 100000\n57566 86345\n74016 100000\n41379 62240\n47937 71995\n30165 45450\n14393 21662\n28598 43058\n97742 100000\n53251 79940\n50791 76252\n79577 100000\n34942 52565\n78980 100000\n94001 100000\n10153 15271\n9472 14240\n50538 75871\n42973 64598\n80117 100000\n37977 57126\n30373 45756\n65076 97601\n48273 72488\n47940 72000\n12492 18791\n29027 43713\n94596 100000\n91251 100000\n491 724\n30870 46484\n6098 9153\n89943 100000\n47163 70855\n95689 100000\n17171 25872\n6598 9900\n6040 9072\n73270 100000\n65849 98755\n93458 100000\n73956 100000\n71621 100000\n28011 42163\n10933 16452\n31047 46750\n22100 33318\n19402 29224\n51985 78039\n53745 80657\n55552 83360\n43908 65987\n31851 47969\n50215 75392\n80595 100000\n3061 4630\n88251 100000\n83054 100000\n93568 100000\n33207 50003\n98411 100000\n18805 28338\n10063 15139\n17666 26621\n40234 60509\n69752 100000\n78765 100000\n85701 100000\n33662 50680\n1783 2687\n20173 30381\n35636 53594\n54143 81231\n46715 70175\n11743 17668\n79613 100000\n61590 92400\n993 1485\n86841 100000\n1828 2759\n17349 26138\n95445 100000\n10141 15253\n68008 100000\n21122 31832\n82097 100000\n42215 63475\n94020 100000\n840 1257\n25565 38530\n45247 67999\n39102 58823\n35623 53574\n14723 22163\n31317 47164\n73856 100000\n96031 100000\n11848 17826\n25095 37825\n97758 100000\n42208 63465\n82973 100000\n81270 100000\n71618 100000\n21821 32892\n65024 97527\n3623 5468\n14599 21978\n86606 100000\n77345 100000\n89123 100000\n24468 36875\n26096 39321\n75923 100000\n55422 83171\n13113 19754\n97686 100000\n55923 83901\n77912 100000\n93223 100000\n50831 76312\n62980 94448\n3143 4754\n7201 10819\n43432 65291\n52174 78324\n78379 100000\n1710 2576\n98216 100000\n50014 75082\n72870 100000\n24296 36619\n42101 63310\n6523 9795\n29060 43763\n74551 100000\n54563 81867\n64798 97192\n41597 62556\n76902 100000\n64440 96654\n86965 100000\n31625 47628\n62004 93017\n82963 100000\n19723 29708\n99680 100000\n22553 33982\n3351 5071\n3408 5155\n73999 100000\n37338 56151\n28837 43425\n88133 100000\n78059 100000\n29974 45156\n64647 96959\n58628 87932\n3580 5403\n66985 100000\n27851 41934\n86092 100000\n44917 67500\n66572 99851\n29278 44092\n90422 100000\n32500 48942\n12702 19119\n39347 59200\n22308 33624\n54955 82454\n9211 13840\n80297 100000\n34914 52525\n69770 100000\n9295 13966\n36862 55440\n89213 100000\n34338 51688\n26850 40447\n71866 100000\n8129 12211\n94912 100000\n25364 38224\n57913 86874\n88099 100000\n47276 71017\n10304 15497\n82521 100000\n24800 37387\n25411 38298\n97029 100000\n79207 100000\n37540 56455\n36361 54691\n40525 60952\n65486 98233\n60451 90697\n57644 86458\n91281 100000\n96651 100000\n51745 77680\n11818 17781\n42120 63336\n98645 100000\n7008 10519\n2815 4270\n42681 64171\n11528 17351\n44991 67615\n52275 78475\n89554 100000\n71879 100000\n5284 7942\n64820 97222\n40168 60415\n56003 84023\n48775 73237\n50699 76112\n87838 100000\n47348 71126\n59010 88526\n27272 41076\n32699 49231\n46487 69837\n74554 100000\n17734 26726\n62722 94073\n82150 100000\n68075 100000\n7012 10525\n34474 51885\n61527 92308\n79954 100000\n33635 50643\n31479 47412\n27426 41300\n30375 45758\n10247 15415\n81122 100000\n12945 19496\n8065 12118\n40500 60913\n41620 62590\n21255 32036\n42433 63802\n2186 3312\n66001 98990\n65584 98373\n29833 44940\n60055 90100\n99545 100000\n57309 85980\n34316 51656\n12716 19139\n18569 27992\n46618 70028\n91865 100000\n73788 100000\n9836 14787\n70673 100000\n30497 45939\n22667 34148\n89196 100000\n65881 98804\n97925 100000\n35939 54052\n53326 80048\n34558 52004\n58754 88132\n96135 100000\n45477 68332\n54823 82251\n13029 19623\n50871 76371\n84953 100000\n23015 34684\n71348 100000\n34994 52644\n96805 100000\n12216 18378\n10388 15629\n78146 100000\n32126 48379\n1659 2497\n88965 100000\n94368 100000\n8235 12368\n71361 100000\n52587 78952\n85664 100000\n80948 100000\n1487 2232\n86962 100000\n27218 40995\n60112 90188\n30807 46398\n35406 53262\n1663 2504\n96721 100000\n47862 71888\n20283 30542\n59755 89643\n49820 74802\n94660 100000\n36432 54797\n18646 28107\n78082 100000\n87833 100000\n62115 93181\n36995 55641\n33626 50627\n23249 35035\n43211 64955\n73236 100000\n59431 89157\n91328 100000\n42334 63651\n64471 96696\n23954 36101\n87101 100000\n49298 74021\n90873 100000\n35784 53822\n96466 100000\n18093 27259\n76497 100000\n4549 6861\n88446 100000\n71147 100000\n67949 100000\n36108 54303\n90790 100000\n94522 100000\n92131 100000\n71388 100000\n26123 39363\n85015 100000\n73018 100000\n29408 44281\n90931 100000\n64752 97117\n23784 35850\n98713 100000\n80751 100000\n69074 100000\n93394 100000\n94046 100000\n1907 2875\n63906 95856\n12552 18885\n20280 30538\n87056 100000\n32793 49374\n88180 100000\n64281 96411\n75045 100000\n85713 100000\n97395 100000\n33377 50251\n67349 100000\n53893 80872\n45565 68455\n9338 14033\n18626 28076\n88377 100000\n79694 100000\n65776 98646\n56848 85278\n63693 95541\n41857 62948\n17159 25854\n66263 99392\n53088 79699\n2123 3213\n83849 100000\n86161 100000\n99440 100000\n57289 85949\n63833 95753\n67369 100000\n76753 100000\n66116 99166\n88087 100000\n96655 100000\n89858 100000\n55625 83470\n37537 56450\n91691 100000\n9897 14879\n85331 100000\n64922 97372\n42597 64046\n21568 32518\n87944 100000\n39406 59286\n93162 100000\n1030 1538\n48503 72837\n15001 22589\n25648 38664\n20468 30819\n88194 100000\n9622 14464\n40593 61055\n34954 52581\n74128 100000\n44263 66520\n81302 100000\n95412 100000\n59326 88997\n3484 5266\n88176 100000\n19542 29433\n45011 67643\n40763 61312\n86351 100000\n36767 55299\n24584 37044\n44818 67363\n83318 100000\n30398 45792\n1954 2950\n96259 100000\n14618 22007\n61372 92081\n3796 5725\n94617 100000\n4730 7131\n78389 100000\n27521 41448\n54082 81145\n66582 99865\n34433 51823\n73857 100000\n30851 46458\n29994 45184\n87385 100000\n83183 100000\n58999 88509\n1913 2884\n86235 100000\n567 843\n2452 3705\n54792 82202\n34422 51807\n16830 25338\n7129 10704\n26097 39322\n61124 91710\n73815 100000\n787 1180\n66616 99918\n54200 81322\n70554 100000\n7406 11127\n92043 100000\n35650 53611\n50084 75190\n79756 100000\n11726 17646\n46212 69420\n6572 9863\n36066 54239\n61261 91915\n46824 70334\n61662 92509\n26289 39606\n23624 35606\n53561 80383\n64914 97360\n71591 100000\n45845 68868\n67450 100000\n53248 79935\n33791 50877\n32906 49549\n42069 63264\n59857 89807\n39870 59978\n26728 40263\n66034 99040\n73107 100000\n23713 35744\n54758 82150\n42468 63856\n18041 27180\n19416 29244\n99679 100000\n84542 100000\n58853 88285\n67033 100000\n42898 64486\n38796 58366\n35348 53171\n35110 52822\n46999 70605\n76844 100000\n94645 100000\n65437 98154\n62736 94094\n45744 68719\n87377 100000\n93810 100000\n35019 52679\n98067 100000\n71249 100000\n39933 60064\n15526 23389\n63931 95894\n13835 20832\n36978 55616\n49955 74999\n88856 100000\n74323 100000\n66519 99773\n8264 12409\n28731 43260\n31794 47883\n52731 79154\n7706 11577\n33484 50409\n11237 16906\n12733 19166\n84376 100000\n74574 100000\n67316 100000\n31745 47807\n21640 32624\n89785 100000\n88243 100000\n46804 70304\n63825 95741\n95288 100000\n27563 41508\n1958 2956\n50666 76065\n87489 100000\n26473 39889\n39474 59388\n65104 97642\n43089 64775\n27217 40993\n65169 97747\n7844 11785\n39041 58732\n82536 100000\n77857 100000\n79025 100000\n46428 69749\n4566 6887\n97054 100000\n64670 96994\n72125 100000\n55832 83770\n62086 93138\n88381 100000\n53414 80176\n76872 100000\n4368 6585\n12814 19299\n35844 53911\n91164 100000\n50593 75953\n85179 100000\n51620 77485\n95472 100000\n6083 9132\n71574 100000\n93842 100000\n15710 23670\n87286 100000\n73782 100000\n61870 92816\n90605 100000\n43729 65719\n18255 27507\n81723 100000\n67180 100000\n35599 53535\n31531 47490\n88144 100000\n10340 15553\n44876 67446\n74182 100000\n85381 100000\n98003 100000\n66493 99733\n68875 100000\n83353 100000\n85230 100000\n93939 100000\n36106 54300\n92499 100000\n28355 42691\n95282 100000\n58654 87968\n69213 100000\n88298 100000\n83558 100000\n35182 52931\n32437 48841\n45955 69033\n46960 70544\n8231 12362\n31583 47567\n48485 72809\n76717 100000\n59502 89265\n7905 11880\n73037 100000\n9763 14675\n38694 58204\n41513 62436\n61274 91935\n94174 100000\n17917 26995\n89908 100000\n57658 86479\n12386 18630\n6774 10172\n36895 55490\n16404 24711\n92351 100000\n84120 100000\n25891 39032\n34590 52051\n97325 100000\n20979 31612\n63049 94557\n62789 94170\n28584 43036\n96706 100000\n6364 9555\n48600 72971\n80215 100000\n30359 45736\n50460 75750\n61725 92602\n25975 39145\n36852 55423\n49582 74460\n52091 78191\n807 1207\n58086 87134\n90257 100000\n5872 8826\n4991 7517\n21280 32079\n89495 100000\n67153 100000\n63829 95745\n99099 100000\n44049 66203\n94686 100000\n86521 100000\n18126 27307\n64158 96230\n33624 50625\n13896 20929\n93562 100000\n56676 85023\n47665 71595\n54289 81453\n94732 100000\n33719 50767\n71790 100000\n50599 75965\n63715 95576\n76702 100000\n49754 74707\n60700 91075\n7741 11630\n41226 62013\n24721 37262\n92458 100000\n26398 39772\n30507 45954\n9546 14352\n84692 100000\n35829 53888\n62510 93758\n96949 100000\n17523 26398\n44725 67223\n78481 100000\n35393 53239\n19747 29743\n98223 100000\n58811 88224\n9055 13605\n24315 36648\n53242 79927\n75284 100000\n5943 8936\n97387 100000\n91435 100000\n13372 20140\n82918 100000\n40255 60539\n50700 76114\n36657 55138\n22491 33892\n52392 78650\n78753 100000\n51585 77431\n41840 62920\n12437 18706\n17472 26324\n29270 44077\n89535 100000\n34503 51927\n48624 73005\n93612 100000\n88424 100000\n14540 21888\n42798 64336\n29078 43786\n41064 61765\n69475 100000\n7588 11402\n66606 99903\n58732 88095\n87140 100000\n36492 54885\n18841 28391\n55680 83549\n71788 100000\n87665 100000\n28481 42881\n91101 100000\n92381 100000\n44425 66764\n86879 100000\n57251 85890\n73695 100000\n17798 26817\n45654 68586\n40803 61370\n53348 80083\n329 473\n38924 58560\n12909 19442\n62055 93092\n44672 67139\n80619 100000\n30107 45361\n70808 100000\n25186 37955\n55669 83535\n85084 100000\n12562 18897\n5073 7636\n18785 28307\n11007 16567\n33348 50213\n57995 86998\n82509 100000\n12159 18297\n3330 5035\n26528 39965\n96411 100000\n12061 18139\n19161 28865\n6760 10150\n92618 100000\n42021 63189\n72741 100000\n28010 42161\n60058 90105\n42429 63795\n7806 11724\n83279 100000\n66179 99268\n58011 87021\n9905 14891\n36729 55239\n30294 45641\n91850 100000\n14549 21902\n46764 70250\n69472 100000\n23061 34752\n81810 100000\n97202 100000\n51338 77052\n62634 93945\n9865 14830\n10540 15847\n19966 30075\n67072 100000\n85415 100000\n34672 52177\n85282 100000\n81550 100000\n89152 100000\n25653 38673\n19684 29646\n85757 100000\n19042 28680\n85759 100000\n71217 100000\n59970 89970\n72278 100000\n7494 11268\n30574 46056\n8900 13370\n4583 6914\n37421 56278\n90798 100000\n14096 21227\n15596 23495\n48757 73212\n69476 100000\n65145 97707\n16038 24167\n61698 92562\n43703 65684\n40839 61422\n35566 53487\n39129 58867\n64182 96264\n76079 100000\n14258 21458\n57611 86409\n29738 44795\n80461 100000\n89687 100000\n17641 26586\n72897 100000\n10561 15882\n60473 90731\n98455 100000\n89443 100000\n14094 21224\n2789 4228\n65583 98372\n11544 17375\n57021 85541\n78162 100000\n24191 36460\n61881 92834\n12631 19004\n18225 27463\n92791 100000\n18531 27930\n77900 100000\n87091 100000\n76659 100000\n29007 43680\n51403 77150\n94348 100000\n97241 100000\n73277 100000\n70608 100000\n8632 12959\n50564 75909\n65668 98497\n71161 100000\n56860 85296\n23900 36025\n95609 100000\n13899 20932\n17609 26535\n68977 100000\n25797 38893\n27840 41918\n26868 40475\n45455 68301\n7669 11525\n29876 45002\n71036 100000\n99175 100000\n29374 44234\n7618 11446\n79570 100000\n43860 65914\n54426 81657\n95287 100000\n86535 100000\n14490 21814\n50899 76415\n64258 96377\n86950 100000\n52173 78322\n9723 14616\n75701 100000\n13205 19888\n40047 60239\n19497 29369\n96649 100000\n2132 3227\n78580 100000\n42944 64556\n77429 100000\n79686 100000\n3990 6019\n83789 100000\n21548 32487\n36153 54370\n91205 100000\n45633 68557\n13837 20835\n11147 16777\n37972 57119\n23080 34782\n7745 11637\n53577 80406\n92345 100000\n66697 100000\n15530 23396\n71819 100000\n49553 74413\n1549 2324\n32489 48924\n66959 100000\n14821 22314\n21597 32556\n77818 100000\n51491 77285\n90689 100000\n19234 28975\n3311 5007\n70968 100000\n42154 63386\n99988 100000\n79743 100000\n65243 97857\n33793 50880\n49265 73977\n60800 91232\n53202 79869\n43618 65568\n35063 52747\n49562 74429\n11285 16982\n36831 55396\n31394 47280\n86168 100000\n48487 72812\n56513 84778\n77477 100000\n30622 46128\n25258 38066\n92123 100000\n10844 16308\n13420 20214\n85284 100000\n90955 100000\n18559 27977\n79484 100000\n59288 88941\n36548 54971\n12829 19322\n7014 10528\n82067 100000\n51223 76886\n86976 100000\n1796 2711\n85684 100000\n15398 23202\n43768 65777\n77341 100000\n65956 98923\n4263 6426\n74255 100000\n20005 30130\n2230 3376\n2660 4020\n26082 39302\n64521 96774\n49061 73664\n55495 83276\n54530 81818\n78014 100000\n95383 100000\n13009 19593\n41811 62877\n15267 22992\n4924 7425\n8456 12692\n42102 63311\n71583 100000\n66205 99305\n35996 54133\n48610 72984\n82037 100000\n68453 100000\n9811 14752\n43955 66065\n77540 100000\n71987 100000\n4103 6190\n9239 13882\n10380 15616\n31328 47181\n49254 73962\n80560 100000\n24681 37193\n65126 97675\n25830 38943\n51638 77516\n21107 31810\n27003 40676\n8603 12915\n85628 100000\n59379 89079\n9652 14511\n70765 100000\n6248 9383\n14322 21552\n50331 75564\n49708 74640\n27399 41255\n38498 57917\n64315 96461\n24385 36751\n714 1070\n27268 41070\n34593 52056\n46906 70454\n65465 98198\n18309 27593\n73808 100000\n95933 100000\n78651 100000\n14463 21771\n25473 38395\n26241 39534\n76265 100000\n26960 40613\n30207 45513\n54886 82344\n33315 50166\n3510 5302\n70461 100000\n37464 56343\n12951 19504\n9638 14488\n14476 21791\n36376 54713\n63257 94874\n76041 100000\n27898 42009\n73490 100000\n3836 5778\n32119 48371\n11367 17109\n94225 100000\n97738 100000\n84636 100000\n2420 3656\n5863 8812\n96958 100000\n16060 24199\n90797 100000\n98884 100000\n53146 79787\n91789 100000\n65547 98318\n42128 63348\n17360 26153\n80283 100000\n95938 100000\n13126 19774\n31483 47418\n39330 59174\n91376 100000\n70777 100000\n70224 100000\n32419 48815\n70706 100000\n53065 79664\n97266 100000\n65823 98717\n6642 9967\n88006 100000\n86582 100000\n58762 88146\n46503 69861\n24393 36764\n8998 13516\n77660 100000\n39307 59136\n15659 23594\n16672 25112\n88035 100000\n1508 2261\n84078 100000\n25674 38705\n30288 45631\n3124 4727\n59142 88722\n81954 100000\n36909 55509\n38019 57195\n73020 100000\n53453 80233\n82050 100000\n16151 24340\n70249 100000\n61940 92920\n71533 100000\n11708 17620\n50546 75883\n65116 97662\n69316 100000\n75877 100000\n27580 41532\n66911 100000\n37054 55732\n34586 52045\n74173 100000\n96936 100000\n5740 8622\n478 703\n75579 100000\n93745 100000\n91708 100000\n68076 100000\n75154 100000\n51364 77091\n98001 100000\n65899 98833\n59050 88585\n97163 100000\n50622 76001\n57835 86752\n45812 68822\n80551 100000\n51578 77418\n14031 21131\n63568 95347\n16732 25199\n24590 37054\n641 962\n23897 36022\n39595 59567\n14090 21217\n17731 26721\n72804 100000\n79716 100000\n79767 100000\n32632 49138\n80091 100000\n82577 100000\n95501 100000\n23019 34690\n13716 20652\n41835 62914\n56097 84165\n39642 59638\n85830 100000\n2641 3992\n83457 100000\n66216 99321\n38151 57401\n43400 65247\n68032 100000\n76818 100000\n81019 100000\n78189 100000\n8682 13038\n85460 100000\n59454 89193\n1348 2021\n99923 100000\n53914 80902\n15003 22592\n24260 36564\n98757 100000\n64010 96010\n25773 38858\n67602 100000\n52458 78750\n16199 24409\n31412 47309\n29391 44259\n73158 100000\n1727 2601\n2563 3878\n81973 100000\n44195 66418\n45150 67857\n24954 37617\n117 172\n81062 100000\n97595 100000\n6854 10291\n32101 48344\n87506 100000\n68471 100000\n54732 82106\n65796 98673\n86126 100000\n73132 100000\n29946 45110\n99458 100000\n57617 86420\n15625 23541\n42582 64020\n12071 18156\n41803 62863\n13342 20096\n63432 95136\n1391 2090\n63961 95936\n89458 100000\n25780 38867\n94659 100000\n51043 76620\n42660 64140\n89307 100000\n21796 32855\n37233 56000\n58498 87734\n79158 100000\n37803 56861\n82746 100000\n60238 90381\n59921 89901\n15178 22859\n17426 26250\n87179 100000\n50300 75519\n72787 100000\n28347 42678\n37129 55842\n72339 100000\n41423 62306\n31593 47581\n81423 100000\n45211 67950\n84333 100000\n62946 94401\n89880 100000\n11168 16804\n663 994\n80747 100000\n55789 83704\n77905 100000\n58333 87500\n93088 100000\n9137 13729\n48044 72157\n63897 95846\n69899 100000\n97854 100000\n14183 21354\n37509 56407\n12869 19377\n79944 100000\n52732 79155\n4223 6369\n23351 35190\n92541 100000\n50441 75724\n25867 38995\n3404 5148\n24827 37431\n6658 9994\n87298 100000\n78517 100000\n95206 100000\n12554 18887\n36825 55384\n43260 65033\n45890 68934\n3808 5740\n42613 64072\n44559 66965\n80489 100000\n83159 100000\n30448 45868\n25078 37800\n83920 100000\n13248 19954\n11855 17836\n7668 11523\n81855 100000\n92098 100000\n61068 91622\n1174 1752\n39301 59126\n77398 100000\n56296 84456\n94268 100000\n3985 6013\n99159 100000\n50823 76299\n56878 85324\n45946 69018\n91765 100000\n23247 35032\n35610 53552\n98919 100000\n97002 100000\n50997 76554\n46672 70107\n68093 100000\n93769 100000\n25301 38130\n85528 100000\n23901 36027\n51886 77892\n73500 100000\n56629 84951\n52320 78544\n33217 50017\n90430 100000\n35625 53577\n52197 78360\n36631 55101\n16681 25127\n93410 100000\n81438 100000\n34233 51525\n89353 100000\n71949 100000\n61128 91716\n92372 100000\n64013 96016\n88348 100000\n6623 9937\n67862 100000\n7942 11933\n16913 25471\n93480 100000\n71900 100000\n83877 100000\n88021 100000\n683 1020\n54518 81803\n34856 52443\n28767 43317\n33867 50993\n57449 86185\n58547 87807\n23129 34857\n94497 100000\n19534 29423\n59741 89621\n66152 99226\n25403 38286\n86247 100000\n34617 52092\n70114 100000\n48568 72928\n19282 29050\n11550 17385\n56186 84299\n8310 12479\n24437 36831\n2495 3775\n67927 100000\n30238 45562\n18925 28513\n49751 74703\n90867 100000\n20050 30199\n21278 32075\n82278 100000\n79701 100000\n40067 60270\n43734 65726\n86120 100000\n78210 100000\n29681 44706\n94577 100000\n42882 64462\n43477 65353\n41111 61838\n47415 71221\n47129 70806\n97805 100000\n64099 96142\n78556 100000\n31725 47778\n27323 41148\n95145 100000\n92497 100000\n44089 66258\n53069 79669\n6355 9541\n76532 100000\n46309 69572\n31406 47300\n50193 75361\n21164 31900\n46460 69796\n53129 79761\n84117 100000\n24099 36325\n44092 66262\n54775 82176\n98530 100000\n55041 82580\n31071 46785\n13273 19993\n6337 9518\n29512 44442\n68021 100000\n63450 95163\n37644 56612\n25244 38045\n81917 100000\n36875 55460\n33995 51180\n96083 100000\n89514 100000\n76686 100000\n7118 10687\n74293 100000\n44181 66396\n3625 5472\n84786 100000\n95042 100000\n38926 58563\n94803 100000\n29140 43877\n25687 38727\n1870 2820\n55505 83291\n88305 100000\n20047 30195\n31947 48113\n13147 19809\n70755 100000\n63699 95552\n26227 39512\n28165 42412\n68998 100000\n66593 99882\n64090 96129\n20401 30718\n61791 92699\n1580 2374\n47886 71925\n26938 40580\n61965 92954\n22232 33513\n81263 100000\n44016 66157\n86533 100000\n41504 62421\n95540 100000\n91913 100000\n75912 100000\n46921 70480\n91811 100000\n70329 100000\n6179 9279\n14487 21810\n17153 25845\n6293 9456\n32290 48632\n19484 29348\n74219 100000\n10978 16527\n6147 9229\n54374 81582\n51011 76575\n53303 80019\n38320 57662\n11935 17952\n73163 100000\n65942 98901\n38543 57989\n65065 97583\n69567 100000\n80402 100000\n39351 59205\n97265 100000\n22040 33228\n69520 100000\n48425 72715\n32822 49420\n95664 100000\n7452 11203\n89629 100000\n50220 75398\n99874 100000\n3981 6007\n98438 100000\n58414 87612\n898 1342\n44170 66381\n79493 100000\n28960 43608\n89223 100000\n1829 2760\n41107 61830\n75482 100000\n57907 86864\n66157 99234\n7952 11950\n8953 13451\n39742 59789\n6329 9508\n99121 100000\n86438 100000\n92096 100000\n5020 7557\n79734 100000\n68381 100000\n25002 37684\n33307 50156\n3929 5927\n6821 10238\n50321 75548\n89249 100000\n24057 36262\n36530 54942\n96633 100000\n72544 100000\n92635 100000\n80845 100000\n59818 89745\n1435 2156\n80894 100000\n44 63\n64201 96295\n16831 25340\n97055 100000\n99070 100000\n60200 90322\n54443 81684\n67320 100000\n37665 56639\n39067 58768\n72546 100000\n33952 51121\n68833 100000\n66874 100000\n74233 100000\n15981 24079\n77550 100000\n80345 100000\n22086 33298\n3608 5446\n22818 34372\n80225 100000\n82530 100000\n41763 62809\n58277 87413\n46347 69628\n67323 100000\n70930 100000\n52064 78150\n45096 67776\n90179 100000\n27194 40956\n37312 56115\n85843 100000\n14790 22265\n98705 100000\n39275 59086\n21543 32481\n75448 100000\n39043 58735\n78771 100000\n13739 20685\n13034 19632\n26815 40393\n26703 40225\n92600 100000\n86660 100000\n7925 11908\n17285 26047\n18693 28176\n94631 100000\n51936 77963\n79483 100000\n10840 16302\n55869 83822\n92207 100000\n29791 44869\n19389 29206\n40023 60204\n3551 5361\n33705 50747\n15313 23064\n89761 100000\n67011 100000\n42586 64026\n21516 32437\n39258 59061\n91647 100000\n49295 74016\n43328 65134\n94936 100000\n66290 99437\n50078 75181\n42294 63593\n11469 17262\n98044 100000\n47020 70641\n31729 47783\n63407 95100\n10774 16201\n22575 34012\n17419 26240\n70577 100000\n57937 86913\n86282 100000\n83958 100000\n44481 66847\n11724 17643\n18526 27921\n44498 66875\n91958 100000\n68294 100000\n50893 76404\n67240 100000\n79890 100000\n77154 100000\n47920 71972\n43523 65425\n87112 100000\n40841 61424\n79534 100000\n76474 100000\n12123 18236\n80067 100000\n85450 100000\n15746 23718\n85265 100000\n42405 63759\n69404 100000\n42056 63243\n38661 58157\n14016 21108\n97368 100000\n22502 33906\n2276 3446\n93599 100000\n49975 75024\n6768 10163\n91257 100000\n6487 9741\n23783 35848\n51051 76631\n72238 100000\n94531 100000\n43017 64664\n35085 52782\n79142 100000\n4897 7387\n196 283\n16826 25333\n7516 11294\n8406 12617\n24210 36488\n8288 12447\n3133 4741\n1571 2358\n69510 100000\n72038 100000\n48651 73050\n72941 100000\n13783 20754\n91870 100000\n84750 100000\n63060 94574\n39114 58844\n2000 3021\n76432 100000\n77937 100000\n51420 77175\n91854 100000\n21894 33010\n27590 41547\n5339 8020\n54794 82205\n64515 96766\n29341 44188\n2596 3927\n54006 81038\n19422 29251\n28180 42436\n87622 100000\n52110 78223\n91839 100000\n76561 100000\n28580 43028\n94996 100000\n27710 41726\n91258 100000\n87633 100000\n51242 76915\n93286 100000\n63842 95768\n78408 100000\n86558 100000\n11047 16624\n18914 28495\n28361 42701\n84111 100000\n58854 88287\n74209 100000\n6984 10484\n16964 25551\n92989 100000\n76936 100000\n99446 100000\n12450 18726\n99702 100000\n60089 90152\n22563 33997\n63862 95796\n99607 100000\n80908 100000\n12005 18053\n79864 100000\n18058 27205\n34390 51760\n36749 55271\n8739 13126\n58789 88188\n4122 6219\n63114 94656\n42822 64370\n14166 21333\n45595 68497\n53622 80470\n40943 61577\n30344 45714\n7656 11504\n45231 67978\n21216 31976\n79596 100000\n98375 100000\n76733 100000\n27928 42051\n50261 75460\n55263 82923\n28380 42729\n84383 100000\n81948 100000\n60333 90520\n71567 100000\n63171 94745\n56307 84470\n48654 73055\n88651 100000\n90174 100000\n32170 48452\n51169 76809\n58650 87961\n2638 3987\n6705 10064\n51878 77881\n73476 100000\n8457 12694\n24530 36960\n88467 100000\n71673 100000\n10530 15832\n5377 8074\n64493 96732\n72437 100000\n96096 100000\n73813 100000\n76238 100000\n44423 66761\n79850 100000\n4669 7041\n41381 62243\n89377 100000\n6399 9607\n27972 42109\n17451 26291\n59979 89984\n83362 100000\n62719 94070\n11768 17706\n182 261\n89941 100000\n13188 19865\n87135 100000\n99599 100000\n18610 28052\n37640 56605\n68603 100000\n2675 4042\n4180 6308\n73325 100000\n28833 43418\n56651 84984\n81852 100000\n86642 100000\n71587 100000\n16272 24521\n28112 42329\n64025 96036\n13812 20798\n72261 100000\n34522 51953\n53851 80808\n90182 100000\n57772 86660\n52982 79536\n26419 39804\n86426 100000\n26913 40546\n55222 82860\n53576 80404\n6116 9184\n55744 83640\n69783 100000\n11430 17201\n18334 27629\n30239 45563\n56786 85182\n57793 86696\n69161 100000\n54761 82155\n36005 54149\n4190 6321\n5834 8765\n78965 100000\n56559 84845\n11357 17091\n2779 4211\n55477 83250\n58179 87270\n84244 100000\n91062 100000\n7184 10794\n16224 24446\n53896 80876\n63014 94498\n35578 53502\n41974 63123\n32608 49104\n68690 100000\n65020 97520\n25099 37830\n35997 54135\n12082 18174\n54796 82209\n81713 100000\n46753 70234\n39814 59895\n73241 100000\n97481 100000\n6963 10451\n59863 89815\n8576 12877\n54859 82304\n41191 61964\n54091 81157\n53085 79694\n98818 100000\n32974 49656\n3411 5159\n85781 100000\n67021 100000\n61062 91612\n81907 100000\n41276 62084\n62678 94013\n67707 100000\n62689 94030\n70044 100000\n89857 100000\n7881 11843\n25127 37872\n98535 100000\n56709 85077\n88422 100000\n69509 100000\n52994 79555\n47521 71388\n78042 100000\n87390 100000\n34598 52063\n42175 63418\n66753 100000\n90573 100000\n98543 100000\n5291 7953\n24852 37466\n69085 100000\n95225 100000\n50498 75806\n93596 100000\n60437 90674\n52527 78854\n94584 100000\n4685 7066\n52734 79158\n46630 70046\n83829 100000\n86443 100000\n1947 2939\n16741 25212\n11422 17191\n66876 100000\n63978 95964\n67544 100000\n25166 37925\n3525 5323\n23153 34896\n99848 100000\n83491 100000\n80850 100000\n76459 100000\n18078 27233\n80108 100000\n15153 22820\n84219 100000\n3892 5869\n85115 100000\n85803 100000\n10257 15430\n95511 100000\n92856 100000\n1177 1756\n71952 100000\n68854 100000\n59012 88529\n92070 100000\n75035 100000\n9043 13587\n13387 20162\n38567 58025\n45789 68787\n86857 100000\n47711 71661\n89753 100000\n62026 93049\n52069 78159\n97924 100000\n78278 100000\n6841 10271\n26015 39202\n27457 41347\n68807 100000\n96933 100000\n82793 100000\n50806 76274\n43818 65858\n74461 100000\n20172 30379\n32136 48396\n84373 100000\n87250 100000\n99305 100000\n2413 3645\n28237 42516\n19226 28959\n92551 100000\n99334 100000\n61213 91842\n64513 96763\n38030 57213\n93175 100000\n75898 100000\n94108 100000\n30871 46485\n60723 91114\n40433 60812\n3152 4766\n15576 23466\n79916 100000\n11959 17986\n56551 84836\n76358 100000\n71719 100000\n22112 33336\n10938 16461\n74067 100000\n83263 100000\n92517 100000\n28936 43572\n64873 97299\n62883 94307\n43828 65872\n13415 20205\n90432 100000\n12777 19239\n22770 34306\n2720 4113\n16535 24909\n5245 7886\n58511 87753\n30759 46332\n41248 62042\n90226 100000\n31843 47957\n25100 37831\n20735 31242\n12217 18380\n79600 100000\n59956 89950\n89582 100000\n61043 91586\n15109 22751\n84649 100000\n85167 100000\n52316 78538\n75771 100000\n48733 73175\n37042 55716\n26892 40514\n88003 100000\n70243 100000\n48656 73058\n89105 100000\n81631 100000\n46293 69549\n6247 9382\n37141 55861\n86480 100000\n64929 97383\n15539 23412\n99199 100000\n88851 100000\n26320 39651\n21957 33108\n18670 28144\n78179 100000\n71466 100000\n76502 100000\n69722 100000\n43905 65982\n12508 18817\n65501 98254\n32849 49458\n47649 71571\n32439 48844\n97105 100000\n34727 52255\n53616 80462\n29070 43775\n72676 100000\n77351 100000\n46348 69629\n31936 48100\n921 1377\n79556 100000\n9646 14501\n9154 13754\n92591 100000\n37457 56330\n78505 100000\n41232 62022\n36435 54802\n55334 83032\n24644 37135\n18862 28419\n88751 100000\n46329 69599\n1150 1715\n37237 56006\n46929 70492\n47960 72033\n28585 43038\n91218 100000\n11265 16951\n43935 66033\n93814 100000\n58446 87658\n99372 100000\n83906 100000\n80256 100000\n34926 52543\n28048 42226\n80010 100000\n25322 38161\n29860 44980\n4489 6768\n18904 28482\n83117 100000\n49915 74941\n97609 100000\n46986 70585\n48625 73007\n84643 100000\n4738 7147\n43256 65027\n65592 98385\n50548 75887\n27699 41711\n79698 100000\n98519 100000\n60519 90798\n9793 14722\n28302 42615\n46735 70205\n40798 61364\n4888 7374\n54212 81338\n48652 73052\n51531 77350\n60952 91445\n17795 26812\n38060 57257\n70116 100000\n2713 4101\n33328 50183\n73558 100000\n64291 96426\n28784 43345\n62087 93139\n1752 2641\n63172 94747\n78570 100000\n2365 3577\n54724 82097\n93015 100000\n78966 100000\n12292 18492\n10443 15709\n66602 99897\n96509 100000\n84037 100000\n2315 3502\n41791 62846\n94854 100000\n6870 10313\n55798 83719\n80720 100000\n45080 67749\n85698 100000\n19301 29079\n62773 94149\n21573 32526\n18784 28306\n42616 64075\n97374 100000\n71281 100000\n19342 29138\n60760 91176\n84515 100000\n50923 76450\n57186 85788\n46189 69383\n15593 23491\n22728 34242\n83061 100000\n26689 40203\n24491 36906\n95210 100000\n36689 55183\n25862 38986\n51472 77255\n4613 6957\n27239 41026\n39717 59751\n377 549\n32777 49350\n88581 100000\n14083 21210\n14459 21765\n13168 19837\n93234 100000\n73089 100000\n22686 34176\n32052 48269\n31266 47085\n13898 20931\n92285 100000\n60468 90723\n5219 7850\n74289 100000\n57647 86462\n50437 75717\n45172 67892\n72126 100000\n21111 31818\n16360 24650\n51648 77531\n37262 56041\n36586 55036\n84744 100000\n46124 69286\n27465 41357\n65045 97554\n18501 27883\n42821 64369\n30572 46053\n60512 90789\n92787 100000\n52499 78807\n54632 81967\n15486 23331\n43655 65620\n86608 100000\n59978 89982\n10679 16061\n35882 53965\n81649 100000\n73971 100000\n83067 100000\n20533 30918\n60721 91110\n37551 56472\n1699 2559\n65223 97831\n92441 100000\n12641 19021\n57553 86329\n36428 54792\n39530 59467\n52341 78577\n22787 34332\n56893 85349\n52632 79012\n1063 1588\n17054 25692\n65981 98963\n92930 100000\n20654 31109\n37700 56694\n78668 100000\n11905 17910\n50283 75492\n55342 83046\n67647 100000\n39541 59483\n65438 98156\n26361 39715\n72259 100000\n79237 100000\n59485 89242\n81682 100000\n93384 100000\n34901 52506\n78010 100000\n31477 47408\n38001 57161\n28860 43455\n53798 80734\n4783 7212\n92352 100000\n21880 32987\n1486 2231\n43335 65148\n52147 78283\n81605 100000\n27175 40928\n99390 100000\n20272 30525\n75867 100000\n58896 88349\n69489 100000\n99646 100000\n26664 40169\n46889 70430\n56687 85040\n98902 100000\n31881 48015\n38922 58557\n90975 100000\n53897 80877\n98542 100000\n75166 100000\n33287 50125\n69737 100000\n87537 100000\n62290 93442\n37614 56565\n64449 96668\n47913 71963\n73160 100000\n67392 100000\n85103 100000\n14478 21795\n52437 78719\n19459 29309\n22883 34475\n83965 100000\n13912 20953\n82561 100000\n14005 21090\n76317 100000\n93845 100000\n63002 94482\n71214 100000\n18897 28471\n88302 100000\n26752 40299\n22372 33717\n15467 23299\n93732 100000\n1189 1775\n13171 19841\n29357 44209\n69890 100000\n14156 21318\n23325 35152\n71360 100000\n91294 100000\n24313 36646\n30681 46217\n16734 25202\n84841 100000\n35744 53762\n47448 71275\n49841 74830\n45708 68666\n54100 81169\n55778 83688\n4851 7315\n27235 41020\n1451 2181\n87328 100000\n38833 58424\n29997 45188\n90965 100000\n12326 18540\n1509 2262\n49511 74350\n83623 100000\n25441 38346\n33365 50235\n92374 100000\n75508 100000\n59135 88714\n7807 11726\n40238 60515\n83736 100000\n99480 100000\n53867 80834\n70557 100000\n90148 100000\n96158 100000\n62776 94154\n81054 100000\n91355 100000\n58233 87345\n70741 100000\n54903 82373\n65867 98780\n62715 94065\n41926 63049\n29596 44574\n74706 100000\n59306 88969\n80052 100000\n50242 75430\n24116 36348\n59177 88773\n27037 40722\n2176 3294\n88352 100000\n79927 100000\n97060 100000\n3477 5256\n67454 100000\n57431 86161\n57073 85618\n99504 100000\n84283 100000\n45058 67716\n99413 100000\n4092 6174\n60924 91403\n94341 100000\n45850 68875\n35170 52910\n68676 100000\n9783 14706\n36574 55016\n1192 1781\n23340 35173\n99451 100000\n40685 61189\n47339 71112\n35563 53483\n16972 25563\n13358 20120\n7809 11730\n17960 27059\n93588 100000\n37699 56693\n40210 60474\n47368 71155\n56090 84154\n42785 64317\n51263 76948\n788 1181\n27814 41884\n76064 100000\n10013 15063\n28928 43560\n61534 92317\n56490 84746\n68256 100000\n69356 100000\n20042 30186\n56207 84331\n50231 75413\n98972 100000\n53494 80286\n39761 59814\n7285 10942\n54934 82421\n16667 25104\n58580 87857\n52450 78739\n58691 88025\n18357 27667\n49655 74566\n85885 100000\n55754 83653\n80537 100000\n86045 100000\n81288 100000\n31941 48107\n96458 100000\n84698 100000\n1989 3004\n41701 62714\n22560 33992\n19182 28896\n21922 33052\n32844 49450\n87269 100000\n65355 98022\n5551 8328\n44229 66465\n42876 64454\n41348 62193\n50159 75311\n9104 13678\n39868 59976\n87881 100000\n38939 58583\n15112 22756\n68382 100000\n20438 30775\n11674 17567\n53008 79578\n72073 100000\n80535 100000\n96761 100000\n41727 62751\n43014 64659\n27393 41249\n26950 40596\n83866 100000\n28760 43306\n46207 69411\n97656 100000\n88609 100000\n16847 25366\n17937 27024\n68671 100000\n6938 10416\n81938 100000\n41063 61763\n48093 72226\n69836 100000\n68970 100000\n13329 20077\n97763 100000\n17957 27054\n42145 63375\n61034 91571\n9095 13664\n14774 22238\n45117 67808\n40732 61261\n24458 36861\n1596 2401\n9485 14261\n91966 100000\n38586 58050\n25455 38369\n19994 30115\n60841 91287\n35360 53190\n98938 100000\n54209 81335\n25331 38173\n81734 100000\n16942 25517\n73042 100000\n13682 20601\n75148 100000\n50705 76122\n27418 41286\n46133 69302\n81813 100000\n46031 69145\n5671 8513\n59547 89337\n7504 11280\n88080 100000\n39156 58909\n23768 35824\n23723 35756\n4339 6545\n6059 9099\n89106 100000\n52380 78630\n69055 100000\n93071 100000\n90544 100000\n20353 30645\n71910 100000\n92050 100000\n69692 100000\n23157 34901\n81665 100000\n95329 100000\n68054 100000\n7590 11405\n29463 44365\n13570 20431\n70210 100000\n66292 99440\n82518 100000\n85031 100000\n52941 79473\n51146 76773\n51057 76641\n53292 80001\n55285 82957\n5851 8794\n53833 80784\n92240 100000\n30305 45656\n81648 100000\n79210 100000\n25222 38008\n7080 10630\n32743 49294\n82752 100000\n1970 2972\n28903 43522\n63272 94897\n28811 43387\n22059 33255\n25260 38070\n64133 96193\n4612 6956\n38285 57604\n42347 63670\n51025 76595\n53339 80068\n8950 13446\n39339 59186\n37575 56507\n53291 79999\n75757 100000\n58559 87823\n65947 98909\n78239 100000\n55484 83260\n64103 96148\n88766 100000\n44955 67561\n76242 100000\n9051 13599\n31192 46977\n70223 100000\n81352 100000\n42298 63598\n9828 14774\n20739 31248\n90556 100000\n20711 31202\n12571 18910\n72014 100000\n36004 54147\n70684 100000\n17425 26249\n21499 32414\n64851 97267\n45358 68163\n94443 100000\n48539 72892\n13639 20533\n36133 54339\n4618 6963\n53880 80851\n63490 95223\n89163 100000\n49687 74610\n27828 41901\n30237 45560\n34402 51778\n35671 53644\n863 1289\n7319 10996\n42363 63695\n55102 82675\n6971 10464\n29671 44688\n49834 74822\n25474 38397\n94477 100000\n59173 88767\n31795 47885\n70836 100000\n59408 89124\n44408 66741\n34151 51407\n95695 100000\n18935 28526\n87887 100000\n26614 40093\n67218 100000\n48151 72306\n73590 100000\n90262 100000\n96199 100000\n33536 50486\n85719 100000\n21815 32882\n64897 97339\n39992 60155\n38012 57182\n18379 27697\n68686 100000\n37792 56843\n7039 10565\n19437 29274\n93563 100000\n21271 32064\n2200 3333\n12837 19330\n62619 93920\n71202 100000\n3145 4757\n78850 100000\n1003 1499\n92396 100000\n49175 73840\n82831 100000\n5415 8132\n4905 7397\n93347 100000\n10064 15141\n87044 100000\n84952 100000\n43646 65608\n71876 100000\n10119 15222\n41043 61734\n40117 60340\n41039 61729\n86674 100000\n58722 88078\n34641 52130\n24977 37650\n77439 100000\n76771 100000\n41307 62133\n58630 87935\n2464 3724\n99396 100000\n28962 43610\n99502 100000\n79091 100000\n27285 41094\n20341 30627\n93955 100000\n20146 30337\n64509 96757\n11880 17872\n82855 100000\n63324 94977\n5617 8433\n68569 100000\n77947 100000\n24997 37677\n93182 100000\n47562 71445\n87282 100000\n3663 5528\n11676 17570\n51104 76711\n30301 45650\n34611 52084\n72067 100000\n94263 100000\n9547 14354\n25623 38626\n46183 69375\n67785 100000\n91989 100000\n59847 89790\n57824 86737\n18876 28438\n96210 100000\n27246 41035\n2986 4518\n10911 16417\n72478 100000\n65268 97893\n495 731\n54784 82191\n20308 30578\n68554 100000\n75109 100000\n38051 57244\n55450 83211\n70840 100000\n1868 2818\n74681 100000\n18788 28312\n95237 100000\n41420 62300\n25636 38647\n21680 32683\n30875 46492\n53280 79981\n90984 100000\n22265 33563\n23296 35107\n49576 74450\n38960 58612\n9901 14885\n12407 18660\n62137 93214\n79810 100000\n10957 16492\n11767 17704\n30862 46473\n99797 100000\n8455 12691\n33801 50891\n82946 100000\n81916 100000\n59104 88669\n59226 88844\n71039 100000\n82668 100000\n2919 4421\n11792 17745\n23173 34926\n77744 100000\n8888 13355\n18184 27398\n20137 30325\n5273 7924\n77499 100000\n18630 28081\n65382 98065\n46579 69972\n19136 28826\n72256 100000\n22290 33597\n82890 100000\n68706 100000\n88272 100000\n27176 40929\n18523 27917\n13625 20511\n81144 100000\n45270 68033\n45881 68920\n84637 100000\n22953 34585\n7672 11530\n38779 58338\n89518 100000\n50237 75421\n9189 13804\n6921 10387\n73941 100000\n53318 80039\n29248 44046\n9861 14823\n77453 100000\n42874 64451\n4946 7454\n88620 100000\n40041 60231\n65875 98794\n30480 45914\n1842 2778\n17003 25613\n1734 2611\n17169 25869\n60438 90676\n43639 65597\n34534 51969\n60440 90679\n74844 100000\n96618 100000\n82262 100000\n34866 52459\n72071 100000\n61645 92485\n85206 100000\n84407 100000\n35775 53805\n35792 53833\n30561 46035\n97237 100000\n36192 54427\n24640 37130\n79831 100000\n58042 87069\n82292 100000\n57667 86491\n41568 62514\n70378 100000\n43789 65813\n58505 87743\n28182 42438\n48056 72175\n8299 12462\n81828 100000\n31522 47476\n9054 13604\n28362 42703\n60881 91343\n44182 66397\n61031 91565\n73891 100000\n86406 100000\n15806 23817\n97541 100000\n75439 100000\n39236 59025\n62133 93208\n15299 23041\n93689 100000\n65493 98245\n10525 15826\n86088 100000\n67910 100000\n60640 90984\n65398 98090\n98605 100000\n26827 40410\n40262 60549\n54992 82507\n76226 100000\n62940 94391\n74944 100000\n33233 50044\n72445 100000\n78490 100000\n37495 56389\n43949 66056\n30930 46575\n70030 100000\n46259 69492\n22893 34489\n13953 21009\n10162 15286\n18806 28339\n91642 100000\n14120 21266\n32546 49011\n21627 32606\n34164 51426\n54372 81579\n28216 42485\n88073 100000\n74262 100000\n83076 100000\n19720 29702\n46219 69429\n70148 100000\n58582 87860\n8253 12394\n5053 7604\n72447 100000\n92115 100000\n52904 79419\n7316 10991\n97908 100000\n16443 24768\n37568 56495\n68791 100000\n48744 73191\n4410 6650\n6940 10419\n90800 100000\n42306 63609\n30457 45881\n29381 44244\n5287 7947\n78254 100000\n57000 85510\n59610 89426\n94397 100000\n54371 81577\n13539 20382\n39328 59170\n53531 80341\n84983 100000\n7970 11972\n43111 64806\n36239 54501\n71155 100000\n22748 34271\n12845 19339\n31866 47994\n94898 100000\n15478 23318\n64928 97382\n35499 53399\n50175 75335\n31391 47276\n94145 100000\n31546 47513\n67655 100000\n64280 96409\n5540 8313\n38045 57235\n83355 100000\n5024 7564\n8988 13503\n1837 2771\n80362 100000\n62884 94308\n42469 63858\n99641 100000\n3324 5026\n61177 91788\n54608 81931\n35163 52900\n4089 6170\n88826 100000\n9047 13592\n87950 100000\n61449 92194\n38409 57790\n30680 46216\n25747 38818\n28605 43068\n89579 100000\n23439 35321\n89562 100000\n79250 100000\n58685 88016\n79512 100000\n58259 87385\n91572 100000\n16546 24922\n42231 63499\n57006 85519\n78772 100000\n26468 39881\n37025 55689\n79862 100000\n59629 89454\n89451 100000\n53159 79808\n57670 86495\n47786 71774\n58037 87059\n96964 100000\n15955 24042\n44128 66319\n50820 76295\n45244 67995\n23045 34728\n53068 79668\n96695 100000\n65832 98733\n23543 35488\n62001 93014\n9690 14564\n87335 100000\n560 832\n66758 100000\n44042 66193\n10772 16199\n35487 53380\n53148 79791\n26699 40219\n18306 27588\n68784 100000\n11167 16803\n92744 100000\n16456 24785\n31747 47810\n3566 5383\n51746 77681\n63367 95036\n18342 27642\n27555 41496\n78721 100000\n99711 100000\n83569 100000\n6985 10486\n53541 80355\n13485 20308\n51734 77663\n27830 41905\n18224 27462\n90253 100000\n72330 100000\n45725 68691\n73649 100000\n57227 85849\n72053 100000\n62522 93775\n1089 1624\n1239 1856\n37533 56445\n25893 39035\n66286 99430\n90621 100000\n5597 8403\n43885 65952\n20356 30650\n62317 93481\n35310 53116\n19908 29984\n90604 100000\n92312 100000\n13718 20654\n18321 27611\n31893 48035\n9035 13577\n85769 100000\n93685 100000\n75997 100000\n15536 23406\n69539 100000\n20029 30168\n51390 77130\n16769 25253\n27162 40908\n29236 44026\n58429 87632\n40055 60251\n91845 100000\n67941 100000\n77924 100000\n40739 61274\n83750 100000\n16361 24651\n87320 100000\n97447 100000\n90145 100000\n81228 100000\n49725 74667\n23278 35081\n57602 86394\n98381 100000\n11858 17841\n5552 8329\n25452 38363\n78471 100000\n93495 100000\n36773 55309\n44940 67536\n22744 34266\n49271 73984\n81152 100000\n95172 100000\n12582 18928\n58278 87414\n32853 49464\n63804 95709\n3492 5276\n40815 61387\n79099 100000\n31135 46887\n68216 100000\n88724 100000\n51295 76993\n99507 100000\n29749 44814\n5985 8993\n99963 100000\n55578 83402\n75695 100000\n46184 69376\n93906 100000\n77445 100000\n48830 73319\n51201 76857\n34370 51732\n89813 100000\n17548 26440\n75169 100000\n45873 68909\n47908 71956\n8421 12638\n73317 100000\n96842 100000\n39731 59773\n12080 18170\n57624 86431\n30947 46600\n345 500\n81635 100000\n41600 62561\n73489 100000\n39500 59425\n85366 100000\n66195 99292\n33856 50976\n25462 38380\n53723 80626\n53960 80969\n17126 25801\n54485 81754\n45730 68697\n33246 50066\n21637 32618\n12853 19351\n56672 85016\n99561 100000\n48342 72594\n71427 100000\n76097 100000\n47767 71745\n8935 13422\n80098 100000\n63466 95187\n80105 100000\n85110 100000\n99911 100000\n81653 100000\n41089 61804\n95792 100000\n47899 71943\n4785 7215\n22664 34142\n22520 33934\n65044 97552\n23142 34878\n28001 42149\n97895 100000\n72382 100000\n48502 72836\n90641 100000\n94112 100000\n68465 100000\n31894 48036\n74070 100000\n23432 35311\n73814 100000\n10060 15135\n569 846\n51246 76921\n31299 47140\n20271 30523\n572 849\n40273 60569\n41265 62066\n96880 100000\n29451 44347\n74739 100000\n37935 57064\n97213 100000\n68047 100000\n64596 96885\n20909 31507\n80374 100000\n7904 11878\n4920 7419\n63602 95403\n25737 38803\n26081 39300\n84014 100000\n3415 5165\n97254 100000\n95820 100000\n54095 81161\n87550 100000\n42157 63390\n7163 10763\n78504 100000\n56631 84955\n85904 100000\n51911 77927\n12178 18324\n5608 8420\n25713 38765\n9849 14805\n15176 22856\n20087 30255\n12923 19462\n99662 100000\n62617 93917\n77160 100000\n45840 68863\n23014 34683\n96386 100000\n81308 100000\n36859 55436\n10677 16057\n37026 55691\n5842 8778\n86251 100000\n23986 36154\n39540 59482\n10504 15795\n37983 57135\n84951 100000\n42008 63172\n92420 100000\n59713 89579\n60741 91144\n7007 10518\n49376 74144\n92435 100000\n67678 100000\n91245 100000\n3668 5535\n71977 100000\n51231 76899\n45366 68175\n27574 41524\n51214 76875\n92535 100000\n51064 76651\n59049 88584\n35195 52949\n68839 100000\n27501 41415\n79553 100000\n2098 3170\n23717 35748\n63384 95065\n82399 100000\n23027 34702\n45680 68625\n18069 27220\n97012 100000\n66931 100000\n39782 59849\n23477 35381\n67776 100000\n27467 41360\n532 787\n94896 100000\n94413 100000\n1011 1510\n86560 100000\n57255 85896\n63270 94894\n45556 68444\n84324 100000\n81997 100000\n39585 59553\n40236 60513\n84250 100000\n41935 63063\n12050 18122\n95193 100000\n84058 100000\n55537 83338\n42335 63652\n19044 28682\n3194 4832\n31827 47932\n14391 21658\n50671 76073\n48373 72640\n77919 100000\n39810 59890\n11013 16574\n33573 50546\n14901 22438\n84212 100000\n65028 97533\n61270 91929\n42378 63717\n76401 100000\n32697 49228\n86361 100000\n84454 100000\n60032 90064\n27387 41241\n42524 63938\n96909 100000\n46784 70275\n84525 100000\n56372 84568\n66946 100000\n34902 52507\n73847 100000\n44971 67584\n7419 11148\n34252 51558\n50777 76227\n39425 59313\n14347 21590\n68842 100000\n86035 100000\n25514 38456\n2742 4148\n36060 54229\n97149 100000\n85708 100000\n7258 10899\n31656 47673\n60710 91092\n56992 85498\n59076 88624\n88754 100000\n60474 90733\n17227 25962\n18589 28022\n770 1155\n85605 100000\n81690 100000\n59967 89967\n70570 100000\n57787 86686\n24576 37031\n93420 100000\n12859 19362\n65272 97898\n86972 100000\n77779 100000\n74063 100000\n46703 70155\n80277 100000\n46955 70537\n54093 81159\n10301 15492\n54393 81607\n49530 74380\n15220 22919\n3720 5615\n2830 4291\n99886 100000\n31977 48158\n87695 100000\n45419 68249\n93251 100000\n89829 100000\n80436 100000\n89615 100000\n59598 89410\n12969 19534\n32770 49337\n43439 65299\n90626 100000\n65192 97784\n95180 100000\n9081 13644\n75474 100000\n13499 20326\n78118 100000\n19291 29064\n34093 51326\n50097 75211\n1049 1564\n9455 14213\n34763 52307\n13189 19867\n38675 58176\n94448 100000\n92826 100000\n83443 100000\n35104 52812\n81051 100000\n92760 100000\n23939 36079\n98129 100000\n27464 41356\n12490 18788\n71265 100000\n31053 46760\n94673 100000\n44798 67334\n69589 100000\n37555 56478\n51566 77402\n63368 95037\n58914 88375\n28662 43151\n3298 4990\n62046 93077\n37101 55798\n54436 81672\n53458 80239\n28825 43405\n83349 100000\n91226 100000\n71963 100000\n85606 100000\n82756 100000\n23418 35290\n96594 100000\n16691 25141\n38749 58290\n20209 30433\n83899 100000\n82677 100000\n73352 100000\n15358 23142\n80240 100000\n84128 100000\n16307 24571\n899 1344\n91961 100000\n52782 79233\n83712 100000\n83614 100000\n91681 100000\n5515 8279\n75438 100000\n6722 10090\n22868 34454\n55796 83716\n53735 80642\n26712 40237\n25254 38060\n12799 19275\n53390 80141\n7112 10678\n17132 25809\n61576 92377\n72241 100000\n39805 59884\n58459 87676\n87611 100000\n41293 62114\n55868 83821\n61969 92961\n10941 16466\n90304 100000\n4775 7201\n50746 76184\n74653 100000\n43584 65513\n40805 61372\n23840 35934\n84456 100000\n44123 66311\n61181 91795\n7975 11980\n78646 100000\n71286 100000\n77203 100000\n92504 100000\n28858 43453\n25582 38557\n24983 37658\n82026 100000\n17751 26748\n36109 54304\n33736 50793\n18119 27297\n79254 100000\n98665 100000\n80318 100000\n94054 100000\n3809 5742\n42339 63658\n54409 81632\n67251 100000\n53434 80207\n32156 48427\n12173 18317\n70534 100000\n23394 35252\n77152 100000\n47497 71352\n19266 29023\n32879 49504\n57618 86422\n42348 63671\n17119 25792\n27625 41598\n19035 28672\n86598 100000\n78156 100000\n31867 47996\n17690 26658\n69138 100000\n22401 33759\n27022 40702\n87955 100000\n39598 59572\n27174 40927\n38962 58614\n73705 100000\n48854 73354\n42691 64182\n17614 26543\n29742 44803\n30090 45336\n61174 91784\n13638 20532\n18549 27960\n99128 100000\n27454 41343\n17480 26336\n35905 54000\n41008 61679\n19214 28942\n19190 28907\n86313 100000\n81133 100000\n20816 31367\n80937 100000\n77965 100000\n319 459\n70429 100000\n1892 2852\n29334 44177\n31664 47688\n39078 58787\n61046 91589\n45521 68396\n41841 62921\n27626 41600\n72457 100000\n57771 86659\n98644 100000\n99740 100000\n50752 76192\n66669 99996\n19384 29199\n83537 100000\n76749 100000\n59105 88670\n69053 100000\n89557 100000\n69069 100000\n29908 45049\n46716 70177\n27866 41959\n64870 97296\n43473 65348\n45629 68553\n70606 100000\n95884 100000\n35323 53134\n16941 25516\n78961 100000\n4935 7441\n46236 69455\n64782 97167\n85746 100000\n88062 100000\n71328 100000\n97752 100000\n37265 56045\n36176 54404\n20566 30971\n83649 100000\n93646 100000\n42553 63981\n26306 39631\n86996 100000\n46619 70029\n78677 100000\n69554 100000\n51616 77478\n4152 6265\n89306 100000\n38781 58340\n25470 38391\n94747 100000\n21090 31784\n65375 98053\n86749 100000\n87532 100000\n26867 40474\n86228 100000\n1379 2073\n58492 87726\n27766 41810\n97101 100000\n89340 100000\n54776 82178\n81681 100000\n485 715\n49803 74779\n77395 100000\n73138 100000\n91406 100000\n68984 100000\n84679 100000\n24642 37132\n47327 71096\n35137 52859\n95500 100000\n28680 43182\n6279 9431\n74616 100000\n54424 81655\n16508 24868\n37041 55715\n9320 14006\n83779 100000\n36210 54455\n2810 4263\n27367 41212\n26181 39447\n28105 42318\n55606 83443\n90587 100000\n3248 4915\n90545 100000\n20240 30477\n69315 100000\n50381 75632\n66962 100000\n12246 18424\n88529 100000\n79432 100000\n78296 100000\n3951 5964\n37427 56285\n73226 100000\n34925 52542\n82911 100000\n85671 100000\n51276 76963\n78652 100000\n32907 49551\n53915 80903\n70383 100000\n61932 92907\n66816 100000\n22256 33549\n8648 12985\n16278 24531\n17108 25774\n43161 64877\n44039 66188\n8509 12777\n30676 46211\n40157 60398\n2468 3731\n91897 100000\n90572 100000\n7716 11593\n48118 72255\n24337 36680\n86124 100000\n81596 100000\n29785 44860\n58400 87590\n4768 7191\n32819 49414\n95055 100000\n74956 100000\n16198 24408\n58994 88502\n8219 12346\n60356 90555\n36409 54763\n94707 100000\n31254 47065\n84697 100000\n91790 100000\n90482 100000\n26053 39258\n86478 100000\n46346 69627\n26887 40505\n11923 17934\n29434 44323\n19059 28705\n76554 100000\n37826 56897\n87626 100000\n57568 86348\n87229 100000\n80575 100000\n76164 100000\n20107 30283\n7687 11551\n91543 100000\n14358 21606\n67189 100000\n63414 95112\n86579 100000\n19132 28819\n10887 16376\n54848 82285\n68937 100000\n96320 100000\n31041 46742\n64901 97343\n28051 42231\n64872 97298\n26083 39303\n95127 100000\n48140 72288\n51903 77916\n64746 97109\n32975 49657\n52276 78476\n23590 35558\n54700 82063\n19427 29259\n50025 75099\n28933 43568\n31935 48098\n47293 71043\n67098 100000\n13847 20851\n85169 100000\n30152 45432\n16077 24226\n62929 94372\n92555 100000\n24345 36691\n5326 7999\n85082 100000\n61429 92168\n82936 100000\n14685 22107\n32081 48314\n72016 100000\n76741 100000\n3772 5694\n46448 69778\n70031 100000\n76825 100000\n13292 20021\n4890 7377\n75050 100000\n19558 29458\n59172 88766\n33367 50238\n23537 35479\n92970 100000\n45900 68948\n91959 100000\n51706 77619\n17225 25959\n6698 10055\n53442 80218\n86020 100000\n97792 100000\n63563 95340\n92065 100000\n30112 45368\n92075 100000\n17748 26744\n65156 97726\n89078 100000\n5761 8649\n30932 46577\n1825 2754\n35718 53723\n29174 43934\n60178 90292\n19929 30017\n14050 21160\n59596 89408\n45369 68179\n24537 36971\n85299 100000\n80939 100000\n50844 76333\n43730 65721\n38632 58114\n70032 100000\n9158 13760\n39253 59052\n34982 52624\n50585 75940\n77049 100000\n91465 100000\n89161 100000\n15699 23656\n1569 2355\n25299 38127\n64569 96844\n85651 100000\n22392 33744\n1836 2770\n85001 100000\n27339 41172\n28072 42265\n61144 91740\n32725 49265\n16232 24459\n36045 54204\n80408 100000\n78060 100000\n51347 77066\n8366 12558\n25813 38915\n23855 35957\n38540 57984\n96646 100000\n80799 100000\n17291 26054\n69820 100000\n2427 3667\n72391 100000\n18088 27250\n75497 100000\n16606 25013\n91134 100000\n99682 100000\n99468 100000\n33158 49932\n34877 52473\n64954 97418\n82508 100000\n3886 5860\n69506 100000\n83675 100000\n72864 100000\n50876 76378\n54866 82314\n85489 100000\n41854 62942\n53447 80225\n86960 100000\n712 1067\n1328 1990\n72196 100000\n17461 26307\n51657 77541\n64933 97388\n66584 99867\n18294 27569\n88266 100000\n16239 24471\n62040 93071\n24212 36491\n94331 100000\n88182 100000\n7703 11573\n61516 92290\n85373 100000\n18274 27538\n89007 100000\n28340 42669\n26475 39891\n86365 100000\n24061 36266\n3921 5915\n80540 100000\n93289 100000\n72631 100000\n84284 100000\n21237 32009\n49021 73600\n43656 65621\n38685 58189\n69923 100000\n89390 100000\n87979 100000\n82660 100000\n11706 17618\n67887 100000\n58958 88444\n18763 28274\n82539 100000\n3450 5217\n13582 20450\n40834 61413\n75669 100000\n92288 100000\n19504 29378\n25363 38222\n55470 83238\n23533 35471\n81863 100000\n4070 6141\n51779 77729\n2065 3119\n37883 56985\n92081 100000\n34615 52090\n17680 26641\n58285 87425\n72438 100000\n364 531\n4300 6480\n23115 34839\n873 1304\n19892 29960\n30666 46195\n79838 100000\n60966 91468\n36684 55176\n57337 86021\n8004 12023\n48489 72814\n49142 73785\n44590 67015\n95696 100000\n4670 7043\n14066 21185\n69374 100000\n94104 100000\n95714 100000\n36937 55552\n83535 100000\n654 980\n37887 56992\n11377 17121\n23064 34757\n26452 39858\n86470 100000\n92183 100000\n11266 16952\n54127 81206\n40880 61486\n68722 100000\n53550 80367\n76290 100000\n67205 100000\n56859 85295\n81728 100000\n90123 100000\n65608 98410\n70469 100000\n6540 9817\n35737 53750\n34863 52454\n91949 100000\n11290 16989\n91378 100000\n30858 46467\n53582 80413\n6795 10205\n92715 100000\n93148 100000\n26421 39807\n86739 100000\n15291 23028\n39225 59005\n90297 100000\n22914 34525\n78025 100000\n44004 66139\n45574 68467\n59165 88755\n54395 81610\n64664 96985\n10177 15308\n38408 57789\n21676 32677\n18 25\n91561 100000\n86411 100000\n16856 25381\n62909 94344\n25014 37700\n7469 11228\n17933 27018\n18566 27987\n88518 100000\n186 268\n84916 100000\n80074 100000\n83557 100000\n27506 41424\n2349 3550\n58553 87816\n1737 2617\n31103 46835\n43738 65732\n10267 15445\n93316 100000\n42337 63654\n53472 80256\n59007 88520\n55348 83058\n64476 96704\n18633 28086\n40682 61185\n49635 74535\n20166 30372\n73452 100000\n90959 100000\n99937 100000\n27779 41832\n25849 38969\n16283 24536\n89402 100000\n94496 100000\n41660 62652\n62766 94139\n28625 43096\n88423 100000\n98800 100000\n14761 22220\n5827 8754\n51397 77142\n84187 100000\n29709 44747\n29303 44130\n87344 100000\n75408 100000\n61118 91702\n94884 100000\n80748 100000\n34100 51336\n59353 89039\n40062 60261\n98007 100000\n74942 100000\n46979 70574\n93426 100000\n55720 83607\n82466 100000\n87021 100000\n54474 81737\n86394 100000\n46432 69755\n62523 93777\n67477 100000\n76269 100000\n47542 71419\n40570 61021\n94118 100000\n86022 100000\n86979 100000\n43041 64699\n40591 61052\n52955 79496\n95828 100000\n7206 10826\n88940 100000\n46709 70165\n12888 19409\n42766 64289\n50051 75140\n37552 56473\n55069 82625\n50061 75156\n60523 90806\n91313 100000\n16992 25596\n92236 100000\n84255 100000\n40507 60924\n1784 2689\n21233 32004\n29789 44866\n85644 100000\n55566 83384\n38428 57817\n6736 10113\n52273 78471\n17896 26960\n58160 87239\n18032 27166\n49400 74179\n63861 95795\n59202 88811\n15307 23054\n68206 100000\n30840 46442\n44100 66274\n557 827\n77586 100000\n69773 100000\n55130 82720\n60384 90596\n94222 100000\n16607 25014\n26715 40241\n74867 100000\n16222 24442\n53730 80635\n81250 100000\n86475 100000\n20667 31128\n90607 100000\n94609 100000\n85033 100000\n22114 33339\n25361 38219\n5766 8658\n14148 21308\n72542 100000\n88986 100000\n87399 100000\n5473 8219\n52382 78634\n90292 100000\n21034 31697\n63750 95625\n20693 31172\n33286 50123\n51503 77304\n78672 100000\n97839 100000\n54528 81815\n38778 58337\n35491 53387\n21889 33001\n91351 100000\n91464 100000\n27308 41126\n68853 100000\n30431 45839\n89449 100000\n39202 58976\n37673 56653\n22113 33337\n35683 53664\n92528 100000\n14866 22385\n15811 23824\n27746 41781\n15929 24004\n62858 94269\n21382 32238\n84326 100000\n3303 4997\n93243 100000\n32471 48896\n19063 28711\n49339 74090\n52750 79183\n6530 9805\n78376 100000\n64434 96643\n63740 95611\n53992 81019\n32179 48466\n33970 51145\n3315 5013\n66470 99698\n75171 100000\n44645 67099\n83130 100000\n49109 73735\n11729 17649\n63965 95942\n78114 100000\n24376 36738\n24036 36233\n86540 100000\n32681 49205\n33445 50355\n89084 100000\n61155 91755\n53699 80589\n63105 94641\n39428 59318\n80148 100000\n85956 100000\n3443 5207\n30526 45981\n69559 100000\n82837 100000\n55217 82852\n7818 11745\n81888 100000\n49650 74558\n83912 100000\n29317 44149\n74000 100000\n63375 95048\n64666 96988\n89132 100000\n90171 100000\n93481 100000\n41927 63050\n37210 55964\n25395 38276\n65298 97939\n77862 100000\n39169 58929\n72219 100000\n48045 72159\n43928 66021\n90046 100000\n53001 79566\n94907 100000\n69368 100000\n52539 78876\n51353 77075\n61938 92917\n29393 44262\n25269 38083\n48383 72654\n85208 100000\n85268 100000\n89845 100000\n96332 100000\n711 1066\n2692 4067\n76948 100000\n22959 34595\n43897 65969\n53236 79920\n11463 17255\n36981 55621\n21941 33081\n70819 100000\n81488 100000\n5461 8200\n20829 31388\n6228 9356\n5924 8907\n70842 100000\n51701 77611\n95277 100000\n29313 44142\n14475 21790\n19456 29303\n31112 46849\n64015 96020\n42012 63177\n12177 18323\n59642 89473\n59093 88653\n16473 24813\n71789 100000\n56659 84996\n2221 3364\n75149 100000\n99820 100000\n51502 77302\n71743 100000\n47103 70769\n60675 91034\n36392 54737\n89578 100000\n31660 47681\n31589 47575\n83616 100000\n1998 3018\n70804 100000\n3249 4916\n11516 17331\n97385 100000\n90771 100000\n79627 100000\n17242 25984\n2566 3884\n70712 100000\n66416 99620\n20505 30880\n30404 45800\n50369 75615\n48736 73181\n15991 24094\n1400 2102\n51002 76561\n45894 68939\n65554 98329\n92990 100000\n21763 32804\n24067 36275\n20084 30249\n18091 27255\n57039 85568\n86753 100000\n7243 10879\n76776 100000\n12008 18057\n13717 20653\n96200 100000\n56359 84549\n43 62\n85591 100000\n9582 14408\n63223 94822\n99512 100000\n71284 100000\n86565 100000\n23292 35100\n5340 8021\n13229 19926\n75994 100000\n77859 100000\n93614 100000\n22598 34044\n26110 39343\n59285 88937\n40628 61106\n67554 100000\n47833 71845\n12127 18244\n51907 77922\n8857 13306\n90391 100000\n91545 100000\n2327 3519\n64577 96858\n47459 71292\n71902 100000\n33766 50839\n63148 94710\n8554 12842\n1447 2175\n28369 42713\n59513 89281\n91615 100000\n36929 55541\n65890 98818\n2045 3089\n53861 80826\n43706 65688\n56987 85491\n41864 62958\n35686 53669\n11782 17728\n17448 26286\n19623 29556\n84696 100000\n3694 5573\n3822 5759\n52979 79532\n96575 100000\n8544 12827\n55622 83466\n85277 100000\n75908 100000\n34746 52285\n71250 100000\n29658 44669\n34890 52490\n76193 100000\n46049 69173\n70891 100000\n24815 37412\n44132 66324\n94190 100000\n68418 100000\n74125 100000\n84662 100000\n81448 100000\n81032 100000\n9671 14536\n7848 11791\n72535 100000\n38413 57796\n49367 74132\n25710 38760\n18783 28305\n38748 58288\n84 124\n55968 83970\n14904 22442\n3976 5999\n39920 60045\n74794 100000\n44491 66862\n20583 30996\n29524 44462\n68656 100000\n75995 100000\n88018 100000\n35275 53064\n55187 82806\n63967 95944\n920 1376\n95085 100000\n41764 62811\n55898 83867\n3958 5975\n76135 100000\n44484 66852\n79423 100000\n53744 80656\n60570 90876\n69809 100000\n76822 100000\n45679 68623\n66189 99282\n79859 100000\n5954 8951\n67716 100000\n12877 19391\n84166 100000\n7562 11363\n93978 100000\n9442 14193\n37450 56321\n27864 41956\n43403 65251\n13766 20729\n95687 100000\n21023 31683\n71522 100000\n42969 64591\n19867 29920\n43626 65580\n20949 31563\n41540 62477\n52114 78231\n59859 89809\n69732 100000\n49974 75023\n4850 7313\n23206 34975\n55905 83877\n97293 100000\n88860 100000\n11766 17702\n21694 32701\n95728 100000\n51438 77201\n10716 16119\n93572 100000\n99479 100000\n61385 92100\n7158 10756\n73187 100000\n2150 3253\n2216 3356\n12713 19135\n43538 65449\n3835 5777\n74721 100000\n83431 100000\n31171 46944\n83946 100000\n89348 100000\n51929 77953\n2844 4311\n61324 92012\n1269 1902\n13371 20138\n62084 93136\n71995 100000\n55683 83554\n87781 100000\n15830 23856\n81010 100000\n38566 58024\n92219 100000\n86284 100000\n86501 100000\n42959 64576\n8507 12773\n92318 100000\n98666 100000\n16696 25148\n9342 14039\n37274 56059\n7062 10602\n2053 3101\n47095 70757\n91248 100000\n97458 100000\n88550 100000\n84583 100000\n4683 7062\n24756 37315\n42872 64448\n29043 43737\n96521 100000\n85261 100000\n21714 32728\n98696 100000\n91898 100000\n48254 72462\n43121 64820\n58585 87864\n10459 15733\n26966 40622\n506 748\n26415 39798\n79905 100000\n4390 6619\n72536 100000\n93587 100000\n68889 100000\n44547 66948\n76258 100000\n83708 100000\n24283 36599\n50776 76225\n21306 32122\n17829 26861\n87365 100000\n47332 71103\n56792 85190\n74821 100000\n87142 100000\n44918 67502\n65729 98584\n61587 92396\n30755 46328\n85228 100000\n80695 100000\n65256 97877\n63350 95016\n6790 10196\n95181 100000\n32095 48335\n82387 100000\n73758 100000\n70407 100000\n44967 67580\n56926 85399\n64991 97472\n5030 7573\n80904 100000\n179 258\n58410 87607\n16092 24250\n73147 100000\n78568 100000\n80679 100000\n12572 18912\n45878 68917\n63807 95712\n57161 85750\n57359 86052\n72511 100000\n58228 87338\n31152 46913\n54709 82077\n19110 28784\n50122 75253\n89413 100000\n8702 13067\n94194 100000\n12223 18389\n53959 80967\n63378 95054\n26944 40590\n71083 100000\n58922 88386\n17123 25797\n74335 100000\n25765 38844\n35604 53542\n26056 39262\n30999 46681\n68584 100000\n73060 100000\n7667 11521\n74382 100000\n29072 43778\n69045 100000\n33119 49879\n10821 16276\n69236 100000\n9857 14819\n45638 68567\n54233 81367\n63125 94672\n944 1409\n39664 59675\n2520 3814\n40712 61231\n53839 80793\n11995 18038\n32744 49296\n52495 78803\n50481 75782\n41967 63112\n63383 95063\n54276 81434\n50712 76134\n89563 100000\n84885 100000\n38005 57168\n42401 63752\n2635 3984\n39594 59566\n85565 100000\n51079 76672\n32491 48928\n31418 47320\n77055 100000\n59744 89626\n13185 19860\n40036 60224\n27249 41039\n79741 100000\n59733 89610\n49095 73715\n74221 100000\n6934 10408\n19391 29208\n10526 15827\n69204 100000\n56402 84615\n90620 100000\n14414 21696\n10934 16454\n54325 81506\n76387 100000\n68742 100000\n45504 68372\n50478 75777\n6378 9575\n33293 50135\n25199 37974\n852 1272\n57610 86407\n35596 53531\n96380 100000\n97688 100000\n9902 14886\n83975 100000\n92089 100000\n56596 84902\n26156 39413\n16871 25407\n46861 70391\n32750 49303\n95083 100000\n35928 54037\n20206 30429\n86183 100000\n27447 41333\n48872 73377\n22772 34309\n9322 14009\n31563 47540\n10463 15739\n27062 40755\n84137 100000\n432 638\n91030 100000\n36240 54503\n12657 19045\n98905 100000\n28645 43126\n28459 42848\n79125 100000\n64005 96003\n48616 72993\n79256 100000\n99104 100000\n30933 46578\n64500 96743\n20753 31269\n81843 100000\n16805 25305\n2383 3603\n12511 18822\n99692 100000\n92927 100000\n57623 86430\n83150 100000\n37193 55939\n24989 37666\n22143 33379\n15785 23778\n46797 70294\n81629 100000\n26236 39528\n98350 100000\n55259 82916\n93520 100000\n86892 100000\n74528 100000\n55884 83843\n69729 100000\n33427 50324\n41068 61771\n28603 43064\n2175 3293\n81384 100000\n99570 100000\n32287 48629\n17764 26764\n51784 77736\n27771 41819\n27258 41055\n66656 99974\n31019 46709\n52315 78536\n68246 100000\n61542 92329\n69760 100000\n29941 45100\n38272 57586\n315 453\n78469 100000\n77814 100000\n83324 100000\n90393 100000\n85796 100000\n20958 31580\n99897 100000\n798 1195\n67802 100000\n68022 100000\n5051 7602\n82155 100000\n8120 12196\n99167 100000\n41189 61960\n54285 81447\n27999 42146\n44986 67607\n96354 100000\n6063 9103\n89757 100000\n69471 100000\n68971 100000\n94740 100000\n83093 100000\n12458 18740\n1738 2619\n26942 40586\n28044 42218\n99248 100000\n59269 88908\n30024 45233\n8293 12453\n68595 100000\n36504 54906\n2804 4253\n64151 96219\n91065 100000\n24440 36836\n14671 22087\n15881 23932\n14696 22122\n4440 6694\n18869 28428\n72268 100000\n47272 71011\n78596 100000\n4061 6126\n53702 80595\n33422 50317\n60787 91217\n44716 67210\n52364 78610\n8 11\n92198 100000\n86004 100000\n91568 100000\n36601 55060\n66363 99542\n74093 100000\n6114 9181\n99870 100000\n78236 100000\n35932 54042\n58760 88142\n86650 100000\n33587 50566\n93416 100000\n65984 98968\n68986 100000\n90881 100000\n70676 100000\n33333 50191\n67438 100000\n40733 61263\n80076 100000\n53227 79906\n91342 100000\n53696 80584\n5013 7549\n48332 72578\n43170 64890\n69291 100000\n22638 34103\n2355 3560\n8330 12509\n66068 99091\n90842 100000\n49388 74163\n62367 93554\n5618 8434\n57265 85912\n2574 3896\n45266 68028\n55804 83728\n83083 100000\n20972 31602\n9382 14100\n12548 18878\n68127 100000\n80851 100000\n59215 88826\n36555 54984\n44754 67268\n82267 100000\n32511 48958\n82406 100000\n94007 100000\n14625 22017\n69383 100000\n65612 98417\n32964 49640\n62979 94447\n59089 88645\n76271 100000\n58501 87737\n91401 100000\n13003 19587\n77190 100000\n78537 100000\n86910 100000\n89269 100000\n57317 85992\n55215 82849\n68384 100000\n54396 81612\n79081 100000\n8745 13134\n66057 99074\n65532 98299\n54719 82090\n22845 34417\n61670 92521\n60631 90970\n32359 48735\n46500 69856\n44248 66495\n1623 2443\n90862 100000\n7873 11829\n63808 95714\n17512 26383\n31551 47521\n72543 100000\n5610 8422\n67423 100000\n45540 68420\n92080 100000\n79833 100000\n91724 100000\n46130 69296\n7499 11275\n35668 53638\n62768 94142\n52494 78801\n31872 48004\n63149 94711\n23711 35740\n99738 100000\n12662 19055\n900 1346\n90303 100000\n56262 84410\n9478 14250\n61014 91543\n50463 75755\n97191 100000\n5191 7810\n26435 39828\n31503 47450\n50089 75199\n53773 80693\n21773 32820\n95752 100000\n24657 37154\n1586 2384\n36272 54553\n76691 100000\n15274 23003\n78266 100000\n91001 100000\n13083 19708\n58150 87227\n42814 64358\n17182 25890\n61378 92089\n5675 8519\n18139 27324\n9656 14517\n43691 65668\n20128 30313\n98210 100000\n78212 100000\n86234 100000\n82261 100000\n46752 70233\n63737 95608\n97684 100000\n95854 100000\n88292 100000\n93497 100000\n28567 43008\n1132 1690\n39891 60010\n58715 88066\n26702 40223\n125 183\n41144 61891\n86590 100000\n84489 100000\n40808 61378\n97118 100000\n12402 18652\n35520 53426\n11257 16938\n95630 100000\n68648 100000\n71590 100000\n48810 73288\n20081 30244\n93399 100000\n36220 54472\n94821 100000\n90743 100000\n47379 71172\n87134 100000\n68327 100000\n81383 100000\n21591 32547\n81028 100000\n61560 92353\n40169 60417\n86856 100000\n8997 13514\n41668 62665\n87431 100000\n21754 32790\n1915 2888\n35380 53221\n37331 56142\n64226 96328\n32184 48472\n60289 90450\n17677 26637\n78304 100000\n89159 100000\n63464 95184\n30071 45305\n32833 49436\n25215 37997\n74043 100000\n24916 37564\n71901 100000\n27656 41648\n85076 100000\n81164 100000\n42773 64300\n67960 100000\n61776 92677\n98617 100000\n57930 86901\n88954 100000\n38727 58255\n30068 45299\n85749 100000\n13795 20772\n44315 66597\n17234 25972\n45805 68810\n12320 18532\n54731 82105\n4942 7449\n33144 49916\n42638 64109\n96795 100000\n45864 68897\n25313 38150\n80234 100000\n16899 25449\n6410 9623\n58485 87714\n62387 93581\n43524 65427\n30412 45812\n47087 70745\n46408 69721\n7743 11634\n47914 71964\n24014 36200\n23266 35063\n58806 88215\n67547 100000\n38394 57767\n67133 100000\n8261 12405\n545 806\n12569 18908\n98120 100000\n53902 80884\n97821 100000\n24624 37106\n89917 100000\n54990 82504\n15213 22908\n29631 44627\n43739 65733\n44961 67570\n56171 84279\n95034 100000\n70485 100000\n46553 69933\n66327 99489\n18287 27558\n35511 53414\n87417 100000\n85692 100000\n80995 100000\n94731 100000\n81676 100000\n96086 100000\n80294 100000\n25714 38767\n26970 40627\n58901 88356\n68425 100000\n36103 54296\n19830 29857\n99173 100000\n6801 10211\n58453 87666\n4608 6950\n57446 86182\n75903 100000\n82773 100000\n13267 19984\n78317 100000\n11704 17614\n40309 60626\n62519 93771\n54634 81970\n90565 100000\n71576 100000\n19117 28795\n83746 100000\n16343 24627\n79805 100000\n86250 100000\n54817 82241\n66328 99491\n16737 25206\n6607 9912\n27915 42033\n40845 61429\n67143 100000\n68484 100000\n67984 100000\n50903 76420\n79707 100000\n8294 12455\n71489 100000\n40907 61522\n68615 100000\n15810 23823\n76166 100000\n7392 11108\n49248 73951\n9179 13793\n9119 13703\n70451 100000\n20993 31635\n41651 62637\n96553 100000\n42846 64408\n68687 100000\n9265 13923\n2671 4037\n11925 17937\n88116 100000\n90107 100000\n22260 33555\n81183 100000\n26352 39700\n2005 3030\n71953 100000\n79775 100000\n46057 69185\n88538 100000\n56111 84186\n69210 100000\n46692 70138\n12497 18800\n21404 32270\n91738 100000\n97432 100000\n19848 29889\n57829 86743\n81508 100000\n39755 59807\n83199 100000\n70807 100000\n68739 100000\n43796 65822\n94421 100000\n94290 100000\n38474 57880\n39727 59765\n57087 85639\n42655 64133\n82876 100000\n35584 53511\n50711 76132\n92292 100000\n39937 60071\n56094 84160\n35538 53449\n39126 58862\n9932 14934\n16065 24207\n52543 78883\n95803 100000\n87284 100000\n23920 36053\n46170 69357\n40660 61152\n10016 15067\n58321 87479\n37230 55994\n26570 40030\n75983 100000\n64486 96719\n60033 90065\n46660 70089\n83097 100000\n32036 48242\n38966 58619\n23176 34931\n38264 57573\n69313 100000\n70427 100000\n42828 64380\n7665 11518\n96782 100000\n66067 99089\n82337 100000\n59067 88611\n14615 22002\n80714 100000\n12093 18190\n19758 29757\n32484 48915\n76573 100000\n95222 100000\n8412 12627\n114 167\n18155 27350\n63345 95007\n61427 92165\n42539 63959\n19033 28668\n10715 16118\n91072 100000\n43665 65634\n54523 81808\n64700 97038\n13446 20249\n70205 100000\n47015 70633\n82811 100000\n60152 90251\n68277 100000\n75020 100000\n85372 100000\n76043 100000\n9685 14555\n99043 100000\n59638 89467\n51283 76976\n13209 19893\n82750 100000\n59618 89438\n98951 100000\n12421 18684\n55481 83256\n54829 82260\n86833 100000\n80999 100000\n47037 70667\n63408 95102\n87408 100000\n64858 97277\n71104 100000\n86805 100000\n86219 100000\n21440 32322\n35688 53673\n56577 84871\n63658 95491\n81345 100000\n23518 35448\n32802 49390\n65530 98297\n280 404\n93108 100000\n82175 100000\n15893 23949\n47921 71974\n3049 4612\n12600 18958\n88592 100000\n84685 100000\n78985 100000\n51904 77917\n1982 2992\n70180 100000\n53278 79979\n1924 2901\n81859 100000\n22916 34527\n99067 100000\n71411 100000\n44943 67540\n97858 100000\n26192 39464\n33748 50810\n55562 83376\n70142 100000\n29324 44161\n79242 100000\n98240 100000\n13524 20360\n4969 7487\n28014 42169\n85270 100000\n64992 97473\n90938 100000\n59359 89049\n2445 3694\n62019 93038\n53241 79926\n75393 100000\n35335 53151\n46547 69923\n56155 84253\n38186 57452\n12304 18510\n76100 100000\n8625 12950\n95510 100000\n3550 5359\n29961 45136\n92105 100000\n17966 27069\n27899 42010\n31269 47090\n79457 100000\n14464 21773\n30358 45735\n85037 100000\n94739 100000\n43228 64980\n10895 16389\n89833 100000\n83399 100000\n44806 67346\n31286 47119\n52981 79534\n3549 5358\n1069 1597\n5084 7652\n14673 22090\n35963 54087\n39350 59204\n24547 36986\n66532 99792\n16472 24811\n69145 100000\n23357 35200\n71200 100000\n94760 100000\n56947 85430\n99169 100000\n2081 3146\n37790 56840\n69139 100000\n40651 61138\n31 44\n23795 35870\n93606 100000\n91230 100000\n69517 100000\n45434 68271\n30910 46544\n2069 3126\n43384 65223\n39244 59037\n65101 97637\n55493 83273\n68248 100000\n24185 36452\n2608 3945\n23073 34771\n99551 100000\n32362 48741\n37704 56701\n22109 33331\n26303 39627\n12972 19538\n99590 100000\n32524 48975\n13805 20787\n66032 99037\n47227 70947\n75522 100000\n42947 64560\n44708 67196\n11145 16774\n12719 19144\n1024 1528\n27768 41813\n26142 39392\n67857 100000\n93443 100000\n24724 37266\n53962 80972\n60423 90653\n9330 14020\n40475 60877\n73157 100000\n56915 85381\n45029 67672\n70453 100000\n99517 100000\n56374 84571\n47021 70643\n42055 63242\n28125 42348\n78637 100000\n19804 29818\n28174 42427\n73290 100000\n25469 38389\n24903 37548\n74224 100000\n40706 61223\n44984 67605\n53619 80466\n6509 9773\n63194 94780\n18230 27469\n79199 100000\n74263 100000\n62927 94369\n53669 80542\n92418 100000\n58168 87254\n11054 16633\n92484 100000\n15766 23750\n27072 40769\n91057 100000\n24125 36361\n74673 100000\n65562 98341\n19781 29784\n31467 47396\n91522 100000\n34186 51460\n86461 100000\n95133 100000\n40311 60629\n26510 39940\n60351 90549\n14018 21111\n30519 45971\n9514 14303\n94868 100000\n46704 70156\n21986 33149\n36636 55109\n36766 55298\n26036 39231\n41419 62299\n34616 52091\n33749 50812\n83368 100000\n29092 43810\n50645 76035\n54002 81032\n46905 70453\n47981 72066\n75018 100000\n90525 100000\n45519 68393\n45753 68732\n88523 100000\n88604 100000\n49735 74680\n25444 38352\n33910 51056\n11164 16800\n98097 100000\n91754 100000\n67865 100000\n14289 21504\n42172 63413\n30896 46522\n57228 85850\n31526 47482\n51583 77427\n57109 85673\n54653 81994\n78928 100000\n39134 58876\n14446 21744\n82995 100000\n36707 55209\n67318 100000\n4003 6038\n58283 87423\n55284 82955\n87500 100000\n91017 100000\n52258 78448\n35785 53824\n47432 71250\n64358 96529\n98598 100000\n77226 100000\n20466 30816\n45443 68282\n74481 100000\n20268 30518\n5485 8236\n26261 39562\n11742 17666\n48603 72975\n29850 44967\n18968 28573\n46260 69494\n55942 83929\n39752 59803\n18998 28619\n67167 100000\n58431 87635\n67587 100000\n98284 100000\n37934 57062\n26141 39391\n48887 73396\n13180 19854\n34591 52053\n90108 100000\n69177 100000\n44626 67068\n60016 90042\n30264 45600\n50771 76217\n34160 51420\n78862 100000\n95396 100000\n54721 82092\n56686 85038\n96849 100000\n67422 100000\n33933 51092\n61722 92599\n98419 100000\n23119 34845\n83149 100000\n5508 8268\n85094 100000\n47550 71429\n71689 100000\n67505 100000\n71736 100000\n10669 16045\n97571 100000\n94677 100000\n59700 89558\n35423 53288\n29891 45022\n45628 68551\n69518 100000\n40730 61258\n63476 95201\n15612 23521\n92437 100000\n33086 49831\n37120 55828\n88660 100000\n78934 100000\n33579 50554\n77411 100000\n68025 100000\n31035 46732\n56255 84401\n7217 10841\n79840 100000\n71424 100000\n64570 96845\n37228 55992\n20435 30770\n93242 100000\n57688 86525\n25603 38592\n20320 30596\n84673 100000\n88850 100000\n71884 100000\n55612 83452\n98646 100000\n90535 100000\n79431 100000\n38226 57512\n94795 100000\n29593 44568\n6505 9768\n56000 84017\n33921 51075\n44070 66232\n19502 29376\n44717 67212\n60254 90403\n61864 92806\n63722 95586\n11908 17915\n39040 58731\n51641 77519\n34984 52627\n68094 100000\n46316 69582\n65507 98264\n2089 3157\n66794 100000\n98014 100000\n34084 51311\n64563 96835\n43022 64672\n70521 100000\n97995 100000\n25191 37962\n23536 35477\n71010 100000\n54383 81594\n22719 34226\n17496 26358\n7625 11456\n21211 31970\n1728 2603\n33511 50450\n46698 70147\n52809 79273\n74313 100000\n70489 100000\n16669 25107\n73353 100000\n94650 100000\n46315 69581\n92879 100000\n8982 13495\n87191 100000\n33510 50448\n16568 24954\n8316 12489\n44526 66920\n87193 100000\n60958 91457\n87730 100000\n92275 100000\n82670 100000\n24529 36959\n25359 38216\n77929 100000\n24679 37189\n90142 100000\n3003 4544\n27744 41778\n60184 90300\n74282 100000\n58796 88198\n82392 100000\n28059 42243\n78706 100000\n71115 100000\n42067 63262\n17860 26905\n26017 39205\n23121 34847\n71915 100000\n71659 100000\n12966 19530\n98966 100000\n17064 25708\n22127 33358\n92102 100000\n56683 85033\n86871 100000\n94794 100000\n20594 31015\n96612 100000\n77146 100000\n94934 100000\n52222 78397\n38189 57458\n31307 47151\n20395 30708\n53729 80633\n84080 100000\n72995 100000\n34684 52194\n29746 44810\n98604 100000\n95442 100000\n85412 100000\n97411 100000\n73179 100000\n8302 12467\n47213 70927\n41758 62799\n62531 93790\n53864 80830\n59534 89314\n38228 57516\n58587 87867\n27469 41363\n94970 100000\n32563 49038\n73327 100000\n38337 57685\n21812 32878\n45999 69099\n46505 69865\n70268 100000\n65866 98779\n76957 100000\n40052 60247\n90237 100000\n7747 11641\n19366 29171\n54284 81446\n15219 22918\n65549 98322\n40224 60494\n53565 80389\n18855 28410\n80928 100000\n35440 53312\n89025 100000\n23156 34900\n84659 100000\n17606 26531\n73614 100000\n70572 100000\n86002 100000\n42923 64525\n60475 90734\n304 439\n73546 100000\n73384 100000\n98936 100000\n1993 3010\n48794 73266\n21804 32867\n52050 78131\n24295 36617\n71180 100000\n87846 100000\n75222 100000\n34117 51360\n85760 100000\n7836 11770\n78381 100000\n54319 81496\n69464 100000\n91387 100000\n77976 100000\n78145 100000\n17964 27066\n48054 72172\n22891 34485\n63803 95708\n76539 100000\n65055 97567\n1787 2695\n85967 100000\n99273 100000\n26795 40363\n57121 85691\n11627 17493\n5743 8627\n63335 94991\n5162 7766\n94273 100000\n65565 98345\n98497 100000\n45897 68945\n82498 100000\n96610 100000\n20417 30744\n88160 100000\n60259 90408\n36589 55041\n88773 100000\n65669 98498\n44633 67080\n42332 63648\n14380 21642\n15395 23198\n19762 29761\n74071 100000\n1646 2478\n3686 5561\n86378 100000\n96972 100000\n43208 64952\n11339 17065\n75676 100000\n16653 25083\n17201 25923\n3435 5196\n30556 46026\n33429 50328\n52563 78914\n61353 92052\n30595 46088\n82005 100000\n20741 31252\n47962 72037\n11240 16910\n11502 17309\n41503 62419\n89096 100000\n68887 100000\n75743 100000\n44404 66737\n65922 98870\n14220 21407\n6663 10001\n9501 14284\n15161 22832\n67466 100000\n91191 100000\n87012 100000\n15645 23573\n97259 100000\n52697 79105\n43465 65336\n53346 80079\n7282 10937\n30447 45867\n3570 5388\n28069 42261\n85675 100000\n46533 69903\n9871 14837\n50530 75859\n9990 15026\n52791 79245\n78158 100000\n10919 16430\n61424 92160\n52769 79214\n3509 5301\n6583 9879\n33139 49907\n12955 19512\n19482 29345\n4546 6855\n99132 100000\n11414 17180\n62970 94435\n576 856\n79013 100000\n3909 5895\n61203 91828\n25948 39112\n31855 47976\n83417 100000\n49348 74106\n61310 91991\n75956 100000\n83229 100000\n91726 100000\n65161 97736\n39703 59730\n96134 100000\n66098 99139\n87342 100000\n700 1049\n31623 47625\n17581 26492\n61823 92745\n88575 100000\n57067 85607\n93365 100000\n77235 100000\n97349 100000\n77288 100000\n37727 56738\n48205 72389\n26956 40607\n77838 100000\n14246 21442\n50920 76445\n33586 50564\n98055 100000\n12700 19116\n79258 100000\n90091 100000\n95777 100000\n64162 96237\n76040 100000\n76993 100000\n56553 84838\n96070 100000\n52679 79079\n52650 79035\n43835 65881\n5290 7951\n1346 2018\n66138 99204\n27006 40680\n96248 100000\n96540 100000\n87931 100000\n85922 100000\n73503 100000\n40996 61661\n82628 100000\n99644 100000\n91643 100000\n97926 100000\n52619 78993\n50862 76357\n39419 59306\n54655 81997\n18280 27548\n90741 100000\n47834 71846\n17468 26319\n75236 100000\n48232 72432\n72912 100000\n8247 12386\n6948 10429\n2978 4504\n44773 67297\n2693 4069\n2932 4438\n17501 26366\n50623 76002\n49331 74077\n7223 10851\n2907 4406\n49899 74920\n77110 100000\n28143 42375\n2344 3541\n47569 71457\n61946 92927\n68281 100000\n19306 29087\n41044 61736\n32128 48381\n12519 18833\n14105 21242\n34705 52223\n47944 72007\n13864 20877\n88691 100000\n95118 100000\n94579 100000\n23285 35089\n59535 89316\n53776 80698\n40439 60819\n82434 100000\n55461 83226\n62853 94263\n79121 100000\n29067 43772\n15357 23140\n72672 100000\n24833 37442\n79203 100000\n16507 24866\n8559 12848\n97970 100000\n4765 7185\n7600 11419\n43773 65785\n54635 81971\n82753 100000\n67085 100000\n76131 100000\n52415 78687\n56375 84573\n3639 5493\n8569 12864\n70923 100000\n35833 53894\n65850 98756\n76745 100000\n86358 100000\n30123 45386\n67830 100000\n44260 66515\n30249 45579\n59035 88566\n66878 100000\n53477 80263\n68611 100000\n16983 25581\n17271 26029\n15702 23660\n64840 97251\n12992 19570\n12864 19371\n86281 100000\n1202 1796\n41277 62085\n89848 100000\n41774 62822\n24907 37553\n60877 91339\n15236 22946\n89110 100000\n356 517\n99744 100000\n6918 10381\n7523 11303\n86447 100000\n50095 75208\n25977 39147\n70172 100000\n44748 67259\n86309 100000\n65742 98601\n80802 100000\n94773 100000\n19548 29441\n8333 12513\n47315 71078\n22327 33653\n94269 100000\n3016 4561\n47188 70890\n45106 67793\n38418 57803\n6781 10182\n24499 36917\n2090 3159\n40603 61071\n79640 100000\n13422 20217\n1934 2918\n81443 100000\n57460 86199\n55613 83453\n13468 20284\n64972 97443\n67745 100000\n99917 100000\n58699 88037\n73110 100000\n49351 74111\n78040 100000\n90878 100000\n20897 31490\n50062 75157\n55191 82812\n69811 100000\n28306 42623\n55084 82647\n34723 52249\n40368 60716\n15788 23783\n31212 47005\n86389 100000\n78071 100000\n49184 73852\n43869 65929\n8206 12327\n70541 100000\n1807 2727\n9500 14283\n19251 29000\n25766 38846\n99965 100000\n44517 66906\n56900 85358\n27030 40714\n14248 21445\n3284 4971\n18269 27530\n57107 85669\n44782 67310\n20193 30409\n51144 76769\n19326 29117\n16413 24726\n19036 28673\n60614 90946\n44777 67303\n25557 38520\n21387 32244\n56225 84358\n60386 90600\n29960 45134\n48052 72169\n2091 3161\n74374 100000\n94164 100000\n60814 91251\n48413 72697\n95999 100000\n80328 100000\n99404 100000\n13243 19946\n34738 52273\n54932 82417\n62394 93593\n81806 100000\n97852 100000\n93309 100000\n18110 27284\n47056 70697\n77610 100000\n42717 64222\n66942 100000\n63305 94949\n14720 22160\n63880 95822\n9274 13937\n50309 75531\n76000 100000\n20244 30483\n59523 89297\n80235 100000\n45969 69055\n96488 100000\n70245 100000\n30763 46337\n71937 100000\n37221 55981\n33808 50902\n42989 64620\n49756 74709\n78828 100000\n7614 11441\n32658 49173\n94250 100000\n76517 100000\n92157 100000\n5399 8106\n22485 33883\n81583 100000\n36960 55586\n28411 42777\n54102 81172\n50591 75949\n5174 7781\n92350 100000\n35358 53187\n24775 37343\n8873 13329\n64695 97033\n9534 14334\n14731 22172\n82563 100000\n84907 100000\n36374 54710\n26863 40468\n50641 76029\n57116 85684\n7410 11133\n38397 57771\n32106 48352\n72811 100000\n29986 45173\n49552 74412\n69799 100000\n36894 55489\n31774 47852\n730 1092\n1558 2339\n62993 94470\n78030 100000\n60019 90045\n20491 30860\n25740 38807\n99867 100000\n2965 4485\n20426 30757\n5831 8761\n63883 95826\n19135 28824\n2916 4418\n75780 100000\n59944 89934\n53856 80817\n99580 100000\n80641 100000\n4063 6128\n63424 95126\n60204 90330\n71441 100000\n84119 100000\n34774 52322\n82321 100000\n49273 73987\n21116 31825\n21822 32893\n55275 82944\n76897 100000\n51166 76805\n37029 55696\n6669 10011\n88695 100000\n14199 21376\n18976 28584\n55567 83386\n36100 54293\n19181 28894\n9545 14350\n53167 79817\n60957 91455\n84175 100000\n94247 100000\n95879 100000\n50946 76482\n99358 100000\n26871 40480\n99998 100000\n27252 41045\n87842 100000\n42589 64031\n56967 85459\n26787 40349\n73376 100000\n18746 28253\n28723 43248\n26150 39404\n91469 100000\n23035 34714\n91549 100000\n28094 42301\n98928 100000\n51484 77273\n23099 34813\n72186 100000\n28484 42886\n16203 24413\n29731 44784\n43723 65712\n30424 45831\n66118 99170\n46119 69277\n60729 91124\n80189 100000\n85631 100000\n60506 90779\n98162 100000\n22732 34248\n78845 100000\n45283 68053\n38881 58495\n93693 100000\n75112 100000\n70752 100000\n47827 71836\n61391 92111\n72839 100000\n45727 68693\n78446 100000\n12442 18713\n1995 3013\n40465 60863\n37354 56175\n92477 100000\n34997 52648\n48099 72233\n93603 100000\n24554 36996\n20644 31094\n88026 100000\n40587 61046\n3354 5074\n18530 27929\n69641 100000\n8820 13252\n87668 100000\n26091 39313\n15132 22786\n51437 77200\n24945 37603\n51681 77581\n14896 22429\n59373 89072\n26941 40585\n95478 100000\n22490 33890\n83071 100000\n12525 18843\n96404 100000\n15210 22903\n10130 15239\n91939 100000\n16869 25404\n27900 42011\n96318 100000\n28264 42560\n12131 18250\n22115 33341\n33847 50959\n77973 100000\n40582 61039\n43827 65871\n73301 100000\n77068 100000\n56063 84115\n30631 46139\n76987 100000\n11291 16991\n18621 28069\n43284 65070\n74783 100000\n8965 13471\n59518 89290\n17407 26221\n57756 86634\n81602 100000\n19109 28782\n28574 43020\n48392 72668\n53524 80331\n62477 93715\n7638 11476\n27697 41707\n43837 65883\n80833 100000\n41654 62642\n78678 100000\n9696 14573\n7861 11810\n9116 13699\n1803 2721\n31050 46755\n72944 100000\n16263 24507\n79246 100000\n78442 100000\n31411 47308\n37367 56196\n85663 100000\n76202 100000\n11260 16944\n38643 58129\n48582 72950\n57522 86286\n72703 100000\n21798 32858\n41327 62164\n64230 96333\n84377 100000\n226 324\n63437 95142\n62665 93996\n96021 100000\n30762 46336\n15131 22785\n51756 77698\n67635 100000\n61121 91707\n55852 83799\n39545 59489\n41060 61759\n80753 100000\n73578 100000\n54770 82169\n57616 86418\n62000 93012\n12614 18980\n39900 60021\n4854 7320\n69112 100000\n82395 100000\n31231 47035\n15850 23889\n57023 85545\n41426 62310\n50648 76038\n79122 100000\n22829 34390\n19765 29765\n54230 81364\n15242 22953\n38219 57505\n53036 79621\n11379 17123\n25487 38415\n59361 89052\n11112 16726\n5974 8979\n85080 100000\n92222 100000\n35883 53967\n9380 14096\n36429 54793\n62747 94108\n27221 41001\n20658 31114\n29862 44983\n19968 30078\n43800 65829\n58909 88367\n67112 100000\n69244 100000\n12640 19019\n87505 100000\n82654 100000\n47915 71965\n27297 41111\n92516 100000\n42487 63883\n28632 43107\n58351 87525\n59439 89168\n76169 100000\n78543 100000\n84831 100000\n58737 88104\n36193 54429\n13296 20027\n11980 18016\n71463 100000\n49047 73640\n53656 80524\n31717 47769\n95451 100000\n631 945\n41117 61849\n60641 90986\n81209 100000\n94761 100000\n24959 37625\n26739 40279\n57456 86194\n90647 100000\n67175 100000\n50461 75751\n62236 93365\n67387 100000\n98870 100000\n181 260\n72626 100000\n1910 2880\n36843 55411\n97869 100000\n76614 100000\n77639 100000\n25341 38188\n58204 87305\n39108 58834\n6439 9669\n94529 100000\n89966 100000\n70219 100000\n19682 29642\n35287 53079\n70560 100000\n90834 100000\n81933 100000\n47949 72015\n56668 85010\n89334 100000\n68628 100000\n22241 33524\n15295 23035\n8817 13247\n8391 12593\n95149 100000\n34403 51780\n198 285\n7239 10874\n34524 51956\n42268 63552\n91184 100000\n50572 75921\n44389 66714\n50817 76289\n47922 71976\n85677 100000\n23406 35269\n41469 62372\n76428 100000\n15226 22928\n59528 89306\n87337 100000\n98000 100000\n89114 100000\n50222 75401\n24886 37521\n99779 100000\n13740 20686\n79287 100000\n91222 100000\n19566 29468\n19769 29770\n31949 48116\n14046 21154\n3829 5770\n19519 29400\n2454 3709\n24545 36983\n7226 10854\n64688 97022\n95213 100000\n57654 86472\n37094 55788\n76576 100000\n63985 95973\n63204 94794\n22084 33295\n17722 26705\n69402 100000\n6238 9368\n69590 100000\n13241 19943\n82646 100000\n37159 55888\n39507 59435\n87744 100000\n7047 10579\n20997 31641\n47383 71178\n35968 54094\n88320 100000\n33764 50835\n18893 28465\n61295 91971\n7719 11597\n29595 44572\n58439 87647\n24312 36644\n246 350\n36006 54151\n46198 69395\n59589 89396\n14964 22537\n3814 5747\n28789 43353\n4642 7000\n62956 94414\n49000 73572\n73635 100000\n96870 100000\n17887 26948\n46194 69388\n26063 39272\n11476 17273\n77425 100000\n2032 3071\n12435 18703\n34931 52550\n10108 15205\n31602 47594\n53147 79789\n29759 44828\n13741 20687\n51852 77844\n10243 15410\n81036 100000\n17665 26619\n57345 86033\n54149 81241\n89032 100000\n97315 100000\n14915 22460\n90101 100000\n76529 100000\n12996 19576\n40101 60319\n88712 100000\n7728 11612\n93919 100000\n28498 42906\n63087 94615\n68535 100000\n43711 65694\n12377 18618\n44573 66987\n51580 77422\n61041 91583\n74198 100000\n34537 51973\n36932 55545\n71402 100000\n28882 43488\n68110 100000\n99556 100000\n88334 100000\n47498 71354\n3513 5307\n62412 93620\n44293 66565\n60893 91362\n46108 69261\n49118 73748\n22758 34287\n76709 100000\n13589 20458\n46918 70475\n25928 39087\n56758 85143\n91344 100000\n72954 100000\n11972 18007\n26955 40605\n18135 27320\n41126 61863\n20866 31446\n71142 100000\n35546 53460\n11763 17697\n7768 11669\n30797 46382\n9058 13609\n81951 100000\n82247 100000\n21409 32278\n51498 77297\n13457 20267\n19861 29912\n81896 100000\n67376 100000\n38943 58588\n87607 100000\n20633 31076\n2699 4079\n15544 23421\n16933 25506\n96185 100000\n59648 89482\n28081 42280\n29757 44826\n67820 100000\n60747 91154\n11066 16653\n28343 42673\n58688 88020\n96346 100000\n11936 17953\n15296 23037\n46663 70092\n27286 41095\n67683 100000\n66449 99669\n45861 68892\n26252 39550\n88530 100000\n74550 100000\n3349 5067\n18932 28522\n87623 100000\n38213 57494\n23918 36051\n99204 100000\n32084 48319\n14451 21753\n55488 83267\n21547 32486\n23053 34740\n88239 100000\n19025 28658\n90889 100000\n31016 46704\n92399 100000\n42108 63319\n5941 8932\n26231 39519\n69003 100000\n17932 27017\n25724 38781\n65305 97949\n91781 100000\n8169 12274\n37236 56004\n69919 100000\n36620 55086\n88054 100000\n19236 28979\n91983 100000\n73357 100000\n81956 100000\n41836 62915\n35475 53366\n48388 72661\n98994 100000\n23633 35620\n36325 54637\n39852 59953\n57508 86265\n68243 100000\n34838 52417\n54116 81191\n55202 82829\n64585 96869\n17728 26716\n49353 74114\n30382 45769\n7066 10607\n99164 100000\n28312 42632\n7999 12015\n23909 36037\n81624 100000\n92 138\n75059 100000\n64252 96367\n27147 40883\n31274 47098\n56705 85070\n73054 100000\n83259 100000\n23223 34999\n56478 84727\n195 282\n71994 100000\n11992 18034\n89824 100000\n11235 16902\n8949 13445\n59854 89803\n38933 58575\n66654 99970\n16442 24767\n86379 100000\n36573 55014\n51134 76754\n27057 40749\n66867 100000\n53095 79712\n42957 64574\n34886 52484\n97256 100000\n65768 98635\n47335 71106\n36041 54199\n59787 89694\n3844 5791\n25847 38966\n47355 71137\n25823 38933\n12140 18265\n66153 99227\n65587 98378\n87542 100000\n74352 100000\n94940 100000\n76556 100000\n32422 48820\n17255 26005\n9072 13631\n21410 32279\n41646 62630\n23813 35895\n93911 100000\n61761 92656\n95762 100000\n26371 39729\n42634 64102\n88536 100000\n63657 95489\n49729 74673\n10132 15241\n57462 86201\n15044 22654\n20389 30697\n68378 100000\n8388 12590\n95889 100000\n92302 100000\n98131 100000\n92820 100000\n63245 94857\n2340 3536\n98921 100000\n6130 9205\n35190 52942\n32447 48857\n82916 100000\n31466 47395\n30967 46632\n51056 76639\n20448 30792\n35290 53085\n91292 100000\n5727 8603\n38419 57805\n59544 89331\n48934 73472\n79412 100000\n96492 100000\n69105 100000\n33091 49840\n62752 94116\n99686 100000\n36224 54477\n83248 100000\n70128 100000\n6159 9247\n26987 40653\n70571 100000\n72807 100000\n16878 25417\n20551 30948\n71428 100000\n63962 95938\n26638 40128\n34270 51587\n65264 97888\n34197 51476\n20721 31219\n22047 33238\n58251 87376\n15922 23993\n94255 100000\n84861 100000\n84627 100000\n63523 95272\n91628 100000\n40434 60814\n22579 34016\n41105 61827\n61563 92358\n49599 74488\n46081 69221\n7051 10583\n43944 66048\n93706 100000\n23114 34838\n66625 99928\n35214 52977\n31655 47671\n13472 20289\n98099 100000\n22394 33747\n93671 100000\n32199 48496\n42184 63432\n15809 23821\n4974 7492\n23643 35635\n39087 58799\n23065 34758\n45035 67681\n20973 31603\n32301 48649\n84808 100000\n42602 64052\n16832 25342\n38821 58403\n24758 37319\n53475 80260\n84705 100000\n81832 100000\n19711 29689\n82749 100000\n95312 100000\n17403 26216\n28121 42343\n67046 100000\n54150 81243\n953 1424\n2280 3450\n27729 41758\n2545 3850\n79956 100000\n70613 100000\n8093 12158\n74575 100000\n2679 4048\n13694 20617\n77694 100000\n23922 36055\n68349 100000\n73401 100000\n9829 14776\n5410 8125\n96472 100000\n44833 67386\n3410 5158\n47130 70807\n57285 85943\n42243 63515\n25873 39005\n67731 100000\n25684 38722\n9920 14916\n24352 36702\n54089 81155\n81186 100000\n93540 100000\n81623 100000\n44593 67019\n23677 35690\n91533 100000\n51470 77251\n90402 100000\n51747 77683\n27785 41841\n29724 44772\n80202 100000\n9224 13859\n33172 49952\n36653 55132\n93147 100000\n25812 38914\n50781 76235\n63374 95046\n40721 61243\n96039 100000\n77655 100000\n19912 29991\n82474 100000\n41114 61843\n96060 100000\n61666 92514\n40380 60733\n40444 60828\n38108 57334\n39429 59319\n35032 52698\n46522 69888\n46416 69732\n78840 100000\n62478 93716\n45799 68802\n46524 69891\n99337 100000\n76547 100000\n8615 12934\n54189 81304\n68539 100000\n39376 59246\n21021 31681\n69469 100000\n17452 26293\n75884 100000\n87235 100000\n27082 40786\n86213 100000\n26105 39336\n26443 39842\n10533 15836\n31838 47951\n92631 100000\n27881 41981\n11899 17901\n45576 68470\n88284 100000\n46334 69608\n67644 100000\n73315 100000\n21556 32499\n44328 66615\n19853 29897\n40612 61082\n37949 57084\n36847 55417\n12771 19229\n4875 7349\n32556 49029\n46862 70393\n98026 100000\n49022 73602\n17683 26646\n36235 54494\n60120 90201\n30629 46135\n56320 84490\n12359 18590\n75132 100000\n90140 100000\n55501 83285\n2335 3529\n59456 89197\n33637 50645\n35253 53031\n18251 27501\n1619 2437\n52550 78895\n12751 19195\n40422 60797\n29927 45076\n77464 100000\n46032 69147\n3047 4609\n53754 80669\n74036 100000\n93669 100000\n63390 95073\n79945 100000\n1349 2022\n11293 16995\n67521 100000\n5763 8653\n1146 1711\n92553 100000\n64833 97241\n21535 32468\n70561 100000\n98472 100000\n14980 22561\n54679 82033\n67839 100000\n85862 100000\n33969 51143\n9325 14014\n95851 100000\n92942 100000\n54514 81798\n75889 100000\n53254 79943\n64587 96872\n44486 66855\n81616 100000\n57646 86460\n63879 95821\n37302 56102\n33613 50607\n63326 94980\n73581 100000\n50716 76139\n84944 100000\n79140 100000\n84083 100000\n56319 84488\n36364 54696\n72465 100000\n46945 70520\n35352 53177\n94406 100000\n83069 100000\n48455 72757\n65099 97633\n42672 64158\n66564 99838\n50661 76058\n9421 14161\n17740 26735\n81278 100000\n34741 52278\n73310 100000\n89419 100000\n62905 94339\n42047 63229\n28332 42655\n946 1412\n47686 71624\n80867 100000\n1369 2055\n69566 100000\n12912 19446\n18717 28211\n90717 100000\n86397 100000\n50838 76323\n38352 57706\n28679 43180\n75705 100000\n77165 100000\n35865 53943\n33371 50242\n18178 27387\n85742 100000\n72001 100000\n69925 100000\n37678 56659\n81208 100000\n41184 61951\n96385 100000\n95379 100000\n92904 100000\n49799 74774\n26183 39449\n86021 100000\n39743 59790\n29167 43923\n16160 24354\n80787 100000\n89262 100000\n34499 51921\n27281 41089\n15852 23893\n53766 80686\n82652 100000\n54905 82377\n12675 19078\n94083 100000\n88465 100000\n79456 100000\n39961 60107\n59242 88867\n79928 100000\n85721 100000\n41186 61954\n43187 64920\n52668 79062\n83821 100000\n85666 100000\n97304 100000\n3718 5612\n50972 76516\n17205 25929\n47832 71843\n29300 44125\n84941 100000\n17922 27004\n47110 70780\n58533 87786\n11866 17852\n91276 100000\n98056 100000\n44610 67045\n34195 51473\n87024 100000\n30094 45342\n72586 100000\n43614 65561\n7738 11626\n59981 89986\n84027 100000\n76059 100000\n18595 28031\n60872 91331\n18469 27834\n71839 100000\n68092 100000\n66803 100000\n32842 49448\n50540 75874\n83679 100000\n95101 100000\n29125 43856\n82350 100000\n36551 54976\n38581 58043\n41614 62583\n72387 100000\n41615 62585\n17607 26532\n95348 100000\n36417 54774\n68177 100000\n91829 100000\n29925 45072\n85547 100000\n83939 100000\n54825 82254\n8711 13080\n91613 100000\n12976 19544\n21657 32650\n97084 100000\n51614 77475\n9463 14225\n27350 41187\n7990 12002\n61286 91956\n80638 100000\n92838 100000\n12271 18462\n92530 100000\n85868 100000\n39819 59905\n1214 1815\n71283 100000\n30086 45329\n59927 89908\n12709 19130\n21244 32022\n15978 24075\n63150 94712\n57705 86553\n16164 24358\n6318 9492\n98138 100000\n58701 88040\n40129 60358\n22185 33440\n50634 76020\n56356 84544\n58273 87408\n38979 58639\n14030 21130\n45639 68568\n29610 44596\n3681 5555\n16604 25010\n71904 100000\n92197 100000\n29872 44998\n20135 30322\n17290 26053\n8539 12819\n25251 38056\n14518 21856\n20898 31492\n20580 30992\n1658 2496\n53464 80246\n35073 52760\n21607 32573\n57960 86948\n33449 50360\n14977 22556\n61819 92739\n42248 63521\n80355 100000\n38067 57269\n51465 77244\n92529 100000\n25024 37713\n71527 100000\n66711 100000\n30441 45857\n75868 100000\n66938 100000\n64200 96293\n45192 67918\n60192 90309\n55570 83390\n19574 29479\n86894 100000\n87510 100000\n54399 81617\n53500 80295\n9912 14902\n45209 67947\n44810 67351\n74103 100000\n66027 99028\n3806 5737\n75351 100000\n27743 41777\n93718 100000\n17724 26709\n35719 53725\n92874 100000\n50057 75150\n51252 76929\n83862 100000\n96139 100000\n9281 13945\n7886 11850\n41753 62791\n9142 13737\n13478 20298\n47043 70679\n19224 28957\n46509 69871\n83507 100000\n42916 64514\n92901 100000\n25562 38527\n64589 96876\n60598 90920\n40829 61405\n60807 91243\n22820 34376\n45093 67771\n77019 100000\n53556 80377\n78077 100000\n90810 100000\n99581 100000\n87857 100000\n96539 100000\n23374 35226\n43334 65146\n75955 100000\n22838 34406\n62549 93822\n17498 26361\n17507 26376\n50610 75983\n38195 57468\n69871 100000\n9814 14757\n25988 39165\n6307 9473\n37002 55652\n80440 100000\n85937 100000\n47577 71468\n13586 20454\n78488 100000\n31974 48152\n90454 100000\n5233 7873\n33834 50940\n3811 5744\n9267 13926\n58284 87424\n89438 100000\n51161 76796\n16134 24316\n83389 100000\n5718 8591\n80646 100000\n20800 31342\n82781 100000\n9203 13826\n52775 79223\n47079 70732\n28110 42325\n19820 29841\n74603 100000\n54054 81104\n34397 51770\n93083 100000\n61754 92646\n42155 63387\n47546 71424\n33687 50718\n66124 99180\n28719 43242\n786 1178\n16953 25534\n40327 60654\n61978 92976\n81389 100000\n58227 87337\n71812 100000\n249 353\n97383 100000\n49782 74748\n32440 48846\n61988 92992\n51924 77947\n14649 22057\n32516 48966\n38658 58152\n57845 86768\n14432 21722\n16935 25508\n60480 90742\n52298 78509\n34731 52261\n87596 100000\n18040 27179\n3429 5188\n19255 29008\n48562 72922\n17778 26786\n88525 100000\n95703 100000\n42281 63572\n35948 54065\n14786 22259\n40684 61188\n61126 91713\n19170 28880\n8370 12564\n75034 100000\n48246 72451\n72490 100000\n50928 76458\n38015 57188\n12971 19537\n68171 100000\n77472 100000\n62924 94365\n81591 100000\n52039 78118\n29014 43693\n48236 72438\n43383 65222\n4088 6169\n74466 100000\n41073 61780\n75852 100000\n87624 100000\n52343 78579\n95224 100000\n22956 34590\n8895 13363\n12865 19373\n63930 95892\n91762 100000\n9493 14272\n75623 100000\n44199 66425\n78081 100000\n78101 100000\n66271 99404\n25003 37685\n40858 61452\n27975 42114\n26957 40609\n28487 42891\n16347 24633\n61688 92549\n21130 31846\n70350 100000\n72767 100000\n39401 59278\n73230 100000\n46120 69279\n86047 100000\n94039 100000\n98899 100000\n85430 100000\n96267 100000\n66239 99358\n60235 90376\n95802 100000\n69564 100000\n89860 100000\n99863 100000\n8375 12571\n67937 100000\n9935 14938\n14444 21741\n22272 33573\n95648 100000\n78578 100000\n13992 21068\n95749 100000\n32276 48611\n54888 82347\n33261 50086\n48374 72642\n369 537\n61842 92776\n13490 20314\n62573 93859\n24422 36807\n67358 100000\n67658 100000\n34438 51832\n46917 70473\n65348 98011\n47695 71637\n43667 65636\n13856 20867\n42278 63569\n27424 41298\n21075 31763\n69136 100000\n3317 5016\n5398 8104\n56618 84935\n96838 100000\n20720 31217\n10588 15920\n12125 18240\n92074 100000\n86777 100000\n49958 75002\n59889 89852\n38459 57861\n57895 86844\n84900 100000\n36675 55165\n27965 42098\n83344 100000\n55557 83367\n43854 65905\n76142 100000\n68707 100000\n58157 87236\n49882 74893\n69762 100000\n24750 37306\n85999 100000\n71065 100000\n12522 18839\n64436 96647\n11733 17655\n37063 55745\n23874 35988\n24720 37261\n98063 100000\n17628 26564\n47982 72068\n45653 68584\n86855 100000\n78557 100000\n64822 97225\n45800 68803\n15982 24081\n95793 100000\n10516 15813\n60811 91247\n99020 100000\n4478 6750\n51555 77386\n7436 11177\n14485 21807\n86240 100000\n30047 45265\n54005 81037\n45408 68236\n5972 8977\n26907 40538\n32989 49680\n63340 94998\n45781 68775\n8482 12737\n29572 44535\n44963 67574\n16052 24186\n4341 6547\n51007 76569\n51885 77891\n71372 100000\n56852 85283\n98020 100000\n50814 76283\n24148 36396\n3212 4860\n62725 94077\n18510 27898\n33889 51027\n76895 100000\n55738 83633\n3571 5390\n30389 45780\n13882 20907\n22302 33615\n11060 16643\n91306 100000\n73584 100000\n57529 86296\n55176 82788\n51367 77095\n28313 42633\n48349 72605\n81758 100000\n94425 100000\n97851 100000\n48722 73156\n45068 67730\n92319 100000\n39048 58743\n52248 78432\n84785 100000\n53961 80970\n94257 100000\n70480 100000\n11719 17636\n35112 52826\n59013 88531\n49069 73676\n89275 100000\n74411 100000\n58984 88489\n16292 24548\n74245 100000\n32204 48504\n96577 100000\n10567 15888\n8652 12991\n57500 86252\n81778 100000\n37758 56789\n82684 100000\n46641 70063\n97912 100000\n2900 4397\n68944 100000\n80815 100000\n71872 100000\n52803 79264\n95025 100000\n4236 6387\n68959 100000\n13011 19597\n18146 27335\n97181 100000\n61076 91633\n90392 100000\n24419 36802\n4053 6115\n93575 100000\n20431 30763\n457 676\n16481 24825\n19 27\n86574 100000\n49164 73822\n3377 5109\n98094 100000\n2061 3112\n53371 80114\n31857 47978\n96784 100000\n59597 89409\n17973 27077\n9780 14701\n39518 59452\n68085 100000\n53422 80188\n92794 100000\n16434 24756\n83752 100000\n7107 10670\n86268 100000\n14633 22030\n70418 100000\n59459 89202\n89825 100000\n57181 85782\n61106 91684\n61770 92669\n38679 58182\n95937 100000\n60572 90879\n11152 16783\n12060 18138\n96878 100000\n86772 100000\n19046 28685\n30880 46500\n16931 25503\n65483 98228\n39230 59015\n81923 100000\n85574 100000\n22190 33447\n99309 100000\n64284 96416\n20913 31513\n78848 100000\n2931 4436\n22137 33369\n44765 67285\n73377 100000\n58620 87919\n58643 87951\n17981 27089\n55104 82678\n10869 16348\n67118 100000\n87737 100000\n92036 100000\n84090 100000\n64017 96023\n31849 47966\n53733 80638\n73628 100000\n13494 20319\n22900 34502\n88323 100000\n87948 100000\n10913 16421\n18521 27913\n93725 100000\n32127 48380\n71008 100000\n3854 5807\n61141 91736\n59862 89814\n41326 62162\n74363 100000\n61677 92532\n65098 97632\n62798 94184\n76736 100000\n68677 100000\n9495 14275\n82497 100000\n8339 12522\n53610 80451\n51483 77272\n36921 55528\n46019 69129\n74147 100000\n9702 14581\n92581 100000\n91244 100000\n32223 48532\n33130 49894\n84253 100000\n15517 23378\n79697 100000\n29881 45007\n71711 100000\n51294 76992\n26098 39323\n17793 26809\n36351 54676\n811 1214\n72740 100000\n27865 41958\n1162 1732\n3396 5135\n96474 100000\n88488 100000\n32004 48196\n65638 98456\n75820 100000\n69172 100000\n29177 43940\n83327 100000\n53664 80534\n1231 1843\n74820 100000\n83207 100000\n30814 46409\n19490 29357\n20392 30702\n29367 44225\n65976 98954\n96166 100000\n32949 49618\n13691 20613\n56265 84414\n43426 65281\n79082 100000\n70111 100000\n45635 68561\n30432 45841\n92465 100000\n148 216\n4993 7519\n33521 50463\n35336 53153\n18099 27268\n64346 96508\n2358 3566\n55603 83440\n7358 11056\n45049 67702\n4769 7192\n70717 100000\n66392 99582\n49197 73874\n26684 40197\n2957 4472\n31456 47377\n60287 90447\n18241 27486\n14798 22277\n9987 15021\n15600 23501\n24892 37530\n57609 86406\n12375 18614\n13186 19861\n63398 95088\n87327 100000\n453 671\n35679 53657\n74876 100000\n35889 53975\n29615 44604\n91516 100000\n81982 100000\n90184 100000\n15548 23426\n19344 29140\n330 475\n2317 3504\n92666 100000\n25691 38732\n62183 93288\n98183 100000\n34916 52529\n93594 100000\n11310 17024\n9812 14753\n24747 37300\n64466 96689\n9599 14431\n40698 61209\n20023 30159\n55469 83237\n56358 84547\n87647 100000\n21865 32961\n11891 17886\n1290 1936\n93135 100000\n43448 65312\n31550 47520\n42817 64363\n29680 44704\n31807 47902\n61080 91639\n91869 100000\n63896 95844\n69160 100000\n28887 43497\n30811 46404\n50180 75342\n33675 50700\n18568 27990\n7960 11960\n85183 100000\n12567 18905\n15074 22700\n45614 68533\n4957 7472\n28235 42513\n6384 9585\n52753 79188\n33115 49873\n98802 100000\n92915 100000\n15136 22793\n12481 18777\n91801 100000\n16470 24809\n62757 94124\n62749 94111\n63054 94564\n92912 100000\n79465 100000\n58684 88015\n5349 8036\n27490 41398\n85903 100000\n40063 60263\n60045 90083\n88832 100000\n84271 100000\n87578 100000\n18651 28114\n99259 100000\n2431 3673\n40951 61587\n33250 50071\n35326 53140\n77372 100000\n24843 37455\n8667 13013\n98825 100000\n20964 31590\n397 585\n21561 32506\n67829 100000\n83046 100000\n46650 70074\n4372 6591\n61667 92515\n48412 72696\n84273 100000\n85947 100000\n90343 100000\n74676 100000\n24269 36577\n26945 40591\n9011 13540\n77659 100000\n87323 100000\n94016 100000\n76590 100000\n90153 100000\n71209 100000\n37968 57112\n19813 29831\n21013 31670\n52032 78108\n87459 100000\n70609 100000\n99663 100000\n36529 54941\n11398 17153\n12253 18434\n18124 27305\n6680 10030\n82958 100000\n19103 28773\n30044 45261\n36979 55617\n31149 46909\n33727 50780\n70398 100000\n86299 100000\n85747 100000\n94813 100000\n45863 68895\n9611 14449\n49103 73726\n23794 35868\n71542 100000\n32890 49522\n28354 42689\n73721 100000\n86577 100000\n18667 28139\n83343 100000\n89508 100000\n21468 32367\n81658 100000\n55859 83808\n76685 100000\n47244 70972\n9313 13995\n38342 57692\n98582 100000\n37396 56239\n10976 16523\n26915 40550\n70974 100000\n98273 100000\n49961 75005\n42704 64204\n24652 37146\n62007 93022\n42342 63663\n12588 18939\n74478 100000\n59097 88659\n56665 85004\n52454 78744\n51380 77116\n82110 100000\n87185 100000\n99866 100000\n36183 54415\n74275 100000\n16280 24533\n30509 45958\n81620 100000\n31626 47630\n38945 58590\n39303 59129\n33976 51151\n68601 100000\n76997 100000\n1097 1637\n55142 82736\n22130 33361\n74807 100000\n85980 100000\n28725 43251\n83140 100000\n42099 63307\n37424 56282\n65910 98849\n47435 71255\n43149 64860\n66316 99474\n60445 90687\n9362 14069\n917 1370\n58767 88153\n37379 56213\n88923 100000\n32598 49088\n38308 57642\n78453 100000\n7049 10581\n32224 48534\n62096 93152\n74887 100000\n87588 100000\n15568 23455\n83771 100000\n8244 12382\n36711 55214\n83627 100000\n1324 1982\n63850 95778\n32403 48794\n3957 5974\n2634 3982\n91703 100000\n68533 100000\n4553 6867\n89143 100000\n67070 100000\n9950 14962\n7180 10789\n36619 55085\n5934 8921\n70287 100000\n46688 70132\n69399 100000\n78049 100000\n27050 40740\n29050 43748\n82626 100000\n63831 95749\n74939 100000\n2149 3252\n93017 100000\n29578 44543\n4734 7139\n74008 100000\n27924 42046\n15866 23911\n62311 93474\n21408 32276\n8468 12713\n93078 100000\n53444 80221\n37022 55683\n53898 80879\n69296 100000\n8107 12177\n87579 100000\n48459 72762\n46829 70341\n7354 11050\n66769 100000\n74883 100000\n94081 100000\n89100 100000\n39355 59212\n61581 92384\n44278 66543\n95423 100000\n5692 8549\n64667 96990\n19895 29965\n1688 2541\n10605 15943\n37627 56586\n19334 29127\n15271 22998\n39734 59777\n42917 64516\n92280 100000\n10658 16028\n89237 100000\n20787 31321\n19900 29973\n98269 100000\n13373 20141\n45899 68947\n90040 100000\n57699 86542\n83045 100000\n23032 34710\n64264 96385\n46551 69930\n17833 26866\n27091 40799\n1717 2587\n54313 81487\n12724 19152\n78994 100000\n32226 48537\n17147 25835\n94735 100000\n17905 26974\n98877 100000\n71504 100000\n6345 9528\n38608 58081\n12686 19093\n86528 100000\n27124 40851\n81939 100000\n17695 26665\n49299 74023\n42350 63673\n63474 95199\n74931 100000\n74474 100000\n1319 1975\n10709 16109\n69829 100000\n15492 23340\n5771 8666\n8340 12523\n58637 87943\n93897 100000\n62277 93426\n88485 100000\n24497 36914\n70368 100000\n42997 64632\n82693 100000\n68884 100000\n30597 46092\n34203 51484\n43137 64844\n99381 100000\n31179 46957\n5146 7743\n1352 2027\n97638 100000\n98552 100000\n96233 100000\n51467 77247\n45370 68180\n27326 41153\n72007 100000\n7831 11763\n13013 19599\n55761 83664\n96862 100000\n93492 100000\n31220 47017\n78220 100000\n12030 18091\n61183 91798\n21304 32118\n89953 100000\n73119 100000\n89631 100000\n24880 37512\n80090 100000\n33880 51017\n96387 100000\n90618 100000\n61502 92271\n80112 100000\n59824 89755\n11543 17374\n28241 42522\n67603 100000\n41190 61962\n79742 100000\n8769 13169\n14812 22300\n85646 100000\n21011 31666\n2859 4333\n90159 100000\n96813 100000\n93151 100000\n19941 30036\n42273 63559\n52808 79272\n75159 100000\n33163 49939\n18478 27848\n38561 58017\n22500 33904\n39921 60046\n25874 39007\n8871 13326\n38978 58638\n32466 48887\n90224 100000\n83546 100000\n92785 100000\n56147 84238\n88118 100000\n872 1302\n44696 67179\n34481 51893\n68344 100000\n4304 6488\n49078 73690\n86428 100000\n75 111\n34435 51826\n68522 100000\n18457 27817\n10529 15831\n47180 70878\n79372 100000\n47753 71722\n74050 100000\n60056 90101\n91172 100000\n81426 100000\n44118 66304\n61239 91881\n50348 75584\n96974 100000\n16965 25552\n11188 16833\n87666 100000\n42431 63798\n37715 56721\n76045 100000\n95582 100000\n67930 100000\n1406 2110\n86921 100000\n78363 100000\n65421 98127\n9657 14518\n7312 10984\n34552 51998\n35468 53354\n89688 100000\n81335 100000\n91370 100000\n31402 47293\n30922 46563\n41517 62442\n49204 73884\n79307 100000\n2802 4249\n68056 100000\n89456 100000\n54951 82447\n48477 72793\n18983 28594\n20207 30430\n39529 59466\n69134 100000\n47885 71923\n12747 19189\n31709 47757\n27592 41551\n42747 64264\n73655 100000\n90054 100000\n26431 39820\n17806 26830\n83989 100000\n34543 51982\n36382 54721\n23798 35875\n13041 19641\n63578 95363\n84943 100000\n48953 73501\n86653 100000\n10972 16517\n25973 39142\n29244 44039\n13359 20121\n98136 100000\n47174 70871\n58594 87875\n8443 12670\n72628 100000\n1707 2570\n74723 100000\n15349 23129\n94323 100000\n32666 49185\n41964 63107\n10172 15301\n97572 100000\n21243 32021\n91663 100000\n94933 100000\n20749 31263\n62306 93467\n12074 18161\n292 422\n54629 81962\n58276 87411\n43871 65931\n66966 100000\n62492 93735\n51305 77004\n67335 100000\n65693 98532\n15654 23587\n3821 5757\n27964 42097\n8080 12141\n4433 6683\n54493 81767\n60537 90827\n11752 17681\n62150 93235\n14970 22547\n38764 58315\n84792 100000\n94643 100000\n51062 76648\n9805 14741\n15088 22721\n48475 72790\n37500 56396\n91743 100000\n8326 12503\n81932 100000\n37862 56951\n17909 26980\n63422 95122\n98125 100000\n66755 100000\n46910 70462\n24367 36725\n99878 100000\n11185 16828\n72858 100000\n80251 100000\n94033 100000\n20344 30631\n25834 38948\n68258 100000\n92393 100000\n91395 100000\n61188 91805\n35283 53075\n63736 95606\n11132 16757\n94451 100000\n47861 71887\n47126 70803\n4172 6295\n12383 18626\n8236 12370\n3226 4882\n25878 39013\n3624 5470\n24767 37331\n56606 84917\n6089 9139\n92232 100000\n67170 100000\n42475 63866\n61409 92137\n49846 74840\n74594 100000\n55855 83803\n54677 82029\n55391 83121\n28623 43093\n70201 100000\n77038 100000\n26310 39638\n93776 100000\n46756 70238\n67926 100000\n66610 99909\n61240 91883\n1186 1770\n50524 75849\n15749 23722\n63927 95889\n59855 89804\n70934 100000\n79708 100000\n91135 100000\n32053 48271\n25459 38375\n70363 100000\n64909 97353\n5789 8692\n85107 100000\n8189 12305\n74242 100000\n57321 85999\n46892 70435\n25266 38080\n68849 100000\n5612 8425\n60486 90750\n73718 100000\n45939 69007\n22439 33814\n28864 43462\n80370 100000\n55458 83223\n42070 63266\n75083 100000\n68540 100000\n63766 95650\n85340 100000\n96763 100000\n82272 100000\n44246 66493\n57091 85644\n82280 100000\n78052 100000\n30241 45567\n38537 57979\n4602 6939\n3084 4663\n98932 100000\n89005 100000\n38610 58083\n44350 66654\n90011 100000\n16519 24887\n6728 10099\n30970 46636\n93319 100000\n69842 100000\n78057 100000\n35639 53597\n69111 100000\n97417 100000\n92864 100000\n56317 84485\n80118 100000\n80267 100000\n27848 41930\n56080 84139\n98847 100000\n1277 1916\n21528 32457\n77504 100000\n61103 91681\n23762 35816\n6907 10366\n52719 79140\n18031 27164\n86909 100000\n62561 93841\n85544 100000\n83411 100000\n73390 100000\n78618 100000\n98101 100000\n68284 100000\n54287 81450\n76272 100000\n95102 100000\n43537 65447\n41345 62187\n34426 51813\n18975 28582\n81890 100000\n77270 100000\n28504 42914\n77960 100000\n85482 100000\n94400 100000\n38154 57407\n16236 24466\n8154 12254\n85785 100000\n96155 100000\n64741 97103\n45605 68516\n7930 11916\n26090 39312\n90817 100000\n30032 45243\n81642 100000\n26034 39228\n84306 100000\n34682 52191\n54132 81214\n5490 8242\n75257 100000\n87058 100000\n2794 4235\n48066 72190\n70179 100000\n12438 18708\n14024 21121\n89014 100000\n75412 100000\n18493 27869\n29970 45148\n36324 54636\n12584 18932\n92837 100000\n42043 63221\n43429 65285\n14004 21088\n30627 46133\n74356 100000\n39634 59625\n99123 100000\n92763 100000\n90576 100000\n43262 65037\n91633 100000\n68915 100000\n36009 54154\n92597 100000\n57213 85827\n48752 73204\n51501 77300\n71292 100000\n69040 100000\n71761 100000\n7973 11977\n16223 24444\n83622 100000\n56400 84613\n32939 49599\n13854 20864\n30463 45891\n5709 8578\n44815 67358\n31537 47501\n54455 81704\n241 344\n42619 64079\n3260 4934\n80994 100000\n56655 84990\n34068 51285\n15330 23093\n6805 10217\n95605 100000\n74482 100000\n30298 45646\n56460 84700\n66821 100000\n54481 81747\n36082 54266\n67529 100000\n48513 72853\n49977 75027\n92111 100000\n17982 27091\n20294 30558\n65367 98043\n59907 89880\n59706 89569\n23691 35709\n99694 100000\n57559 86337\n65710 98556\n62919 94358\n30658 46180\n29333 44175\n15878 23928\n34355 51710\n14954 22522\n46552 69932\n45376 68189\n17709 26686\n7147 10736\n17840 26876\n51208 76866\n72808 100000\n8738 13125\n7922 11904\n92576 100000\n7997 12011\n81218 100000\n86655 100000\n73643 100000\n82364 100000\n29232 44019\n79299 100000\n26694 40211\n31485 47422\n56119 84198\n6234 9363\n49745 74694\n92110 100000\n42881 64460\n84320 100000\n54494 81769\n93973 100000\n743 1114\n94567 100000\n70226 100000\n36838 55404\n50737 76169\n67043 100000\n66505 99752\n4384 6610\n14772 22235\n41775 62823\n22345 33677\n35445 53321\n28240 42520\n72903 100000\n20613 31048\n77895 100000\n48771 73232\n85418 100000\n93821 100000\n68147 100000\n40853 61442\n94032 100000\n63291 94927\n97875 100000\n63379 95056\n12750 19194\n29964 45140\n51840 77827\n28003 42151\n97936 100000\n68758 100000\n74971 100000\n15646 23574\n55746 83642\n94964 100000\n47741 71704\n81385 100000\n29115 43842\n62973 94440\n20992 31634\n56347 84531\n2705 4087\n38392 57764\n96433 100000\n69174 100000\n25970 39139\n29774 44846\n16273 24522\n66671 99998\n5475 8222\n31185 46967\n53848 80805\n14493 21818\n43039 64696\n76216 100000\n87023 100000\n45217 67958\n91434 100000\n18731 28230\n23505 35427\n91933 100000\n92866 100000\n5525 8292\n8028 12058\n4512 6801\n4828 7279\n71841 100000\n17358 26150\n84467 100000\n72521 100000\n84850 100000\n62048 93080\n37027 55693\n14241 21437\n43076 64755\n72365 100000\n97232 100000\n19564 29465\n16752 25226\n44297 66569\n97715 100000\n36678 55169\n21540 32477\n13944 20997\n54887 82345\n50126 75259\n35377 53216\n55291 82967\n79543 100000\n62346 93526\n20142 30330\n88162 100000\n333 479\n5905 8877\n40472 60873\n90471 100000\n5808 8723\n33770 50844\n81776 100000\n40412 60782\n14950 22515\n16579 24967\n60285 90444\n61330 92020\n88663 100000\n76732 100000\n58568 87838\n57068 85609\n36569 55007\n10786 16220\n77091 100000\n12325 18539\n40709 61227\n70658 100000\n75570 100000\n93305 100000\n52502 78813\n65876 98796\n33905 51048\n11878 17869\n66672 100000\n17765 26766\n53815 80759\n56498 84757\n18337 27634\n40598 61063\n81287 100000\n32010 48204\n5563 8348\n86211 100000\n66728 100000\n35216 52980\n60315 90490\n88520 100000\n18996 28615\n67328 100000\n86377 100000\n65189 97780\n68809 100000\n32788 49367\n9030 13570\n72507 100000\n29086 43801\n26463 39874\n70018 100000\n46069 69204\n21984 33147\n28763 43312\n40579 61035\n55978 83985\n8221 12349\n81058 100000\n82385 100000\n7482 11250\n74728 100000\n10160 15282\n60684 91048\n85256 100000\n14519 21858\n97386 100000\n27180 40936\n16705 25162\n19386 29202\n69384 100000\n90914 100000\n15218 22916\n79762 100000\n62455 93680\n56614 84930\n89139 100000\n66748 100000\n31143 46900\n16842 25358\n69645 100000\n59829 89764\n42112 63325\n19728 29715\n95848 100000\n72006 100000\n61350 92049\n13062 19673\n78078 100000\n27918 42037\n60782 91208\n7228 10858\n1078 1611\n74229 100000\n11226 16889\n17639 26583\n28379 42728\n11852 17831\n24925 37577\n40649 61135\n83246 100000\n4728 7128\n9975 15001\n10344 15560\n55523 83318\n593 884\n49304 74032\n80044 100000\n51611 77470\n66658 99977\n6251 9388\n67319 100000\n67220 100000\n94678 100000\n9938 14942\n34478 51889\n5665 8506\n49264 73975\n17357 26149\n64439 96652\n35291 53086\n6282 9436\n42282 63574\n82614 100000\n50150 75297\n80542 100000\n67068 100000\n65072 97594\n52153 78289\n22493 33895\n64319 96467\n45179 67900\n36606 55068\n85869 100000\n70173 100000\n26928 40568\n87051 100000\n52893 79402\n48446 72744\n69581 100000\n11472 17267\n96125 100000\n48079 72208\n50113 75239\n21030 31691\n67739 100000\n16306 24569\n65996 98985\n73294 100000\n53013 79586\n32876 49499\n77750 100000\n39325 59165\n15917 23984\n75992 100000\n440 650\n30052 45271\n222 320\n35234 53006\n1739 2620\n55932 83915\n52181 78335\n6453 9694\n37077 55766\n84218 100000\n48517 72860\n24219 36501\n223 321\n44628 67072\n94381 100000\n80322 100000\n83372 100000\n64937 97392\n38872 58482\n36889 55481\n72262 100000\n21981 33143\n96062 100000\n67293 100000\n48177 72344\n19142 28836\n3838 5781\n1080 1614\n68635 100000\n32841 49447\n9424 14167\n98195 100000\n74514 100000\n21128 31843\n33641 50650\n37534 56446\n91060 100000\n29867 44989\n50731 76160\n21190 31940\n11103 16713\n14514 21850\n75727 100000\n26914 40548\n93643 100000\n9118 13702\n51168 76808\n35076 52765\n672 1005\n39092 58807\n93715 100000\n20781 31313\n11449 17233\n22842 34411\n94170 100000\n11589 17437\n36289 54581\n10785 16218\n48241 72444\n1788 2697\n6397 9603\n59150 88733\n24300 36626\n70048 100000\n3815 5748\n11232 16897\n48482 72803\n32216 48522\n85621 100000\n49154 73805\n1302 1952\n40757 61301\n5450 8181\n25443 38350\n63489 95221\n80790 100000\n40075 60280\n75998 100000\n37015 55672\n84838 100000\n4662 7030\n85566 100000\n13084 19710\n11403 17162\n20712 31204\n75337 100000\n5232 7871\n23497 35412\n23764 35818\n79063 100000\n34561 52008\n46335 69609\n51297 76995\n57106 85667\n98407 100000\n30589 46077\n87825 100000\n67642 100000\n90992 100000\n16675 25118\n62764 94136\n32918 49567\n5790 8693\n26765 40317\n90922 100000\n34876 52471\n30466 45894\n74357 100000\n47499 71356\n24272 36581\n46356 69643\n58441 87651\n58607 87897\n21938 33076\n63748 95622\n94111 100000\n70057 100000\n25816 38921\n52666 79059\n74843 100000\n4102 6189\n61570 92367\n25627 38634\n94292 100000\n36683 55175\n38345 57696\n169 247\n65930 98883\n40704 61220\n48070 72195\n26718 40246\n98327 100000\n4131 6232\n77234 100000\n85546 100000\n42094 63298\n52267 78459\n38016 57190\n90300 100000\n53271 79967\n14146 21306\n53383 80129\n40085 60293\n79880 100000\n27311 41132\n52567 78922\n85936 100000\n6341 9523\n41824 62897\n93901 100000\n33593 50574\n68976 100000\n56911 85374\n53189 79849\n83094 100000\n90764 100000\n8161 12263\n88304 100000\n69063 100000\n86934 100000\n75156 100000\n43989 66116\n11796 17750\n36142 54353\n85431 100000\n91020 100000\n68898 100000\n69265 100000\n1223 1830\n72029 100000\n2753 4167\n59243 88869\n74767 100000\n10437 15699\n86671 100000\n19438 29275\n48071 72196\n21842 32927\n42622 64082\n25848 38967\n73188 100000\n61996 93005\n88443 100000\n83799 100000\n61017 91547\n48106 72242\n47442 71265\n5079 7643\n60465 90719\n33972 51147\n94593 100000\n70864 100000\n67955 100000\n29171 43929\n11898 17899\n91554 100000\n17663 26617\n85374 100000\n59422 89145\n99478 100000\n15229 22933\n29781 44856\n56966 85458\n79046 100000\n84075 100000\n67936 100000\n92607 100000\n89837 100000\n62920 94359\n62448 93671\n3268 4948\n39622 59606\n46377 69672\n13293 20022\n72622 100000\n11166 16802\n70966 100000\n59141 88721\n27078 40780\n84038 100000\n81569 100000\n22945 34573\n28133 42362\n6335 9515\n22549 33976\n59154 88740\n43460 65328\n31217 47013\n23005 34669\n64137 96199\n50492 75798\n36209 54454\n51142 76766\n2659 4019\n51982 78035\n97620 100000\n50059 75154\n95834 100000\n23355 35196\n69548 100000\n50182 75345\n82849 100000\n78730 100000\n17111 25778\n48449 72749\n90634 100000\n21056 31733\n27448 41335\n3543 5350\n78904 100000\n32395 48781\n51343 77060\n54298 81465\n44214 66446\n4118 6213\n68227 100000\n79020 100000\n41005 61674\n74902 100000\n1259 1885\n90580 100000\n36173 54401\n59830 89766\n93886 100000\n13300 20033\n21106 31808\n46048 69171\n64813 97211\n6298 9463\n21518 32440\n25979 39150\n22527 33943\n39056 58753\n86737 100000\n9067 13622\n11964 17996\n28052 42233\n40560 61007\n66554 99824\n48632 73018\n13528 20366\n4732 7135\n45538 68418\n51251 76928\n18545 27955\n32025 48227\n70335 100000\n9594 14424\n24896 37536\n11856 17838\n37507 56404\n88041 100000\n57333 86016\n99180 100000\n98831 100000\n40375 60726\n41288 62104\n36940 55556\n6896 10348\n68781 100000\n36876 55461\n73878 100000\n76713 100000\n82641 100000\n13181 19855\n49728 74672\n14925 22475\n25224 38012\n10696 16089\n51883 77888\n81159 100000\n48685 73102\n33005 49708\n76778 100000\n76945 100000\n19148 28845\n62685 94025\n26524 39958\n39944 60080\n46620 70031\n2328 3520\n85395 100000\n60561 90864\n55631 83479\n58716 88067\n66303 99455\n10720 16125\n21071 31755\n25332 38175\n97267 100000\n52629 79006\n16467 24804\n7338 11024\n53998 81026\n84976 100000\n70614 100000\n28166 42413\n73995 100000\n55553 83361\n11347 17077\n72872 100000\n21906 33029\n62564 93845\n69599 100000\n65539 98310\n32575 49057\n1966 2968\n82784 100000\n37554 56477\n21445 32331\n59395 89105\n53117 79742\n47361 71145\n88307 100000\n40389 60749\n98654 100000\n32091 48329\n48709 73137\n61055 91603\n21721 32738\n13650 20551\n32059 48280\n85195 100000\n52708 79121\n57899 86851\n7422 11154\n73097 100000\n46932 70497\n35620 53569\n88193 100000\n59815 89740\n47139 70820\n61262 91917\n11764 17699\n93154 100000\n33664 50683\n91890 100000\n72617 100000\n79979 100000\n69263 100000\n72766 100000\n54487 81757\n28664 43155\n29975 45158\n67270 100000\n16255 24496\n23479 35383\n75635 100000\n7303 10968\n63396 95085\n86156 100000\n56422 84645\n31642 47653\n86256 100000\n61473 92230\n51698 77606\n71775 100000\n76075 100000\n27056 40748\n66123 99179\n48144 72296\n63120 94665\n86222 100000\n70215 100000\n819 1226\n9758 14668\n71102 100000\n23091 34800\n86434 100000\n65226 97836\n70303 100000\n93294 100000\n72230 100000\n1670 2513\n61672 92524\n58418 87617\n21559 32503\n94024 100000\n38656 58150\n40131 60361\n64057 96079\n59517 89288\n19390 29207\n28151 42391\n89728 100000\n17279 26039\n67473 100000\n59258 88892\n3188 4821\n67536 100000\n72328 100000\n44911 67493\n89909 100000\n81762 100000\n57540 86313\n10846 16312\n27562 41506\n80777 100000\n80952 100000\n42256 63535\n44378 66697\n25866 38993\n36141 54351\n28700 43211\n74985 100000\n75492 100000\n5595 8400\n84445 100000\n37243 56015\n35210 52972\n82373 100000\n39549 59496\n34584 52042\n68430 100000\n52182 78336\n31921 48075\n20814 31364\n63244 94855\n96242 100000\n53907 80891\n21008 31661\n70900 100000\n57694 86534\n15829 23854\n25548 38509\n85263 100000\n26487 39909\n7040 10567\n3326 5029\n24773 37340\n89936 100000\n23459 35351\n65824 98719\n25250 38055\n83297 100000\n15496 23346\n43181 64908\n37334 56146\n79323 100000\n10187 15324\n89021 100000\n65621 98430\n17228 25963\n17344 26129\n66150 99222\n30400 45795\n37340 56154\n76951 100000\n27066 40761\n48932 73469\n76542 100000\n35590 53521\n54154 81250\n70550 100000\n57237 85865\n78292 100000\n33881 51018\n36519 54925\n52498 78806\n48351 72608\n86399 100000\n63756 95636\n68972 100000\n87249 100000\n2652 4008\n18292 27566\n99145 100000\n15277 23007\n35802 53848\n33565 50533\n89896 100000\n40003 60172\n19595 29512\n90187 100000\n78480 100000\n50090 75201\n52574 78931\n59003 88514\n66 96\n40765 61315\n9483 14259\n84514 100000\n66914 100000\n50555 75897\n25639 38650\n28770 43322\n88477 100000\n59061 88603\n28324 42647\n21532 32463\n49226 73920\n76112 100000\n55797 83718\n8149 12246\n22668 34150\n21996 33163\n74235 100000\n56232 84367\n56837 85263\n92117 100000\n64899 97341\n52825 79296\n16435 24758\n38467 57871\n52673 79070\n80154 100000\n73164 100000\n98841 100000\n42392 63740\n12003 18051\n85738 100000\n68674 100000\n17529 26407\n16281 24534\n51328 77037\n56441 84670\n79685 100000\n16103 24268\n28118 42338\n43878 65941\n28033 42201\n45373 68185\n20531 30916\n50029 75106\n6207 9323\n73547 100000\n97659 100000\n5454 8189\n16471 24810\n22617 34072\n74997 100000\n41880 62980\n64809 97207\n21624 32602\n64634 96939\n48022 72125\n32166 48444\n12124 18238\n84404 100000\n95970 100000\n76625 100000\n97085 100000\n98618 100000\n44198 66424\n11137 16764\n73070 100000\n57400 86112\n99380 100000\n11424 17194\n4749 7165\n19984 30100\n89254 100000\n67943 100000\n73604 100000\n93771 100000\n71195 100000\n88338 100000\n35328 53143\n68426 100000\n74177 100000\n77481 100000\n2423 3660\n72139 100000\n93641 100000\n24456 36858\n24409 36787\n86298 100000\n26611 40089\n1805 2724\n91835 100000\n12523 18841\n88882 100000\n539 796\n83652 100000\n2551 3859\n68010 100000\n48894 73408\n19517 29398\n51980 78032\n3256 4927\n53716 80617\n76819 100000\n77649 100000\n42066 63260\n45754 68733\n60051 90092\n14536 21882\n13331 20080\n22897 34496\n35260 53040\n50303 75523\n57973 86966\n5648 8478\n38900 58524\n40343 60678\n53257 79946\n47183 70883\n99198 100000\n83347 100000\n56939 85417\n23346 35183\n32982 49667\n58288 87428\n81262 100000\n98054 100000\n12298 18501\n28138 42368\n29159 43911\n31416 47316\n5379 8077\n5357 8047\n28839 43427\n53501 80296\n62238 93368\n85598 100000\n24084 36304\n7558 11357\n57230 85853\n57552 86328\n27971 42107\n40290 60600\n51527 77343\n39759 59812\n87640 100000\n9591 14420\n97144 100000\n32843 49449\n87893 100000\n53222 79896\n88864 100000\n92834 100000\n7202 10820\n27687 41693\n39976 60131\n23653 35650\n76927 100000\n21744 32772\n20032 30172\n92425 100000\n10778 16208\n74635 100000\n21420 32292\n97999 100000\n38192 57463\n63570 95350\n7449 11197\n88441 100000\n32659 49174\n63069 94588\n74582 100000\n20845 31414\n11151 16782\n23033 34711\n28885 43494\n47746 71711\n17718 26699\n4158 6274\n28856 43451\n55000 82518\n95686 100000\n33755 50820\n4736 7143\n64625 96928\n67577 100000\n55240 82887\n7513 11291\n10721 16126\n58130 87201\n79365 100000\n71137 100000\n3427 5185\n59640 89469\n90724 100000\n27888 41993\n97197 100000\n60 86\n35854 53928\n14704 22133\n14211 21394\n13247 19952\n33494 50426\n60933 91418\n13418 20211\n26410 39790\n80383 100000\n76255 100000\n34312 51650\n59621 89441\n16144 24332\n52822 79292\n1009 1507\n6131 9206\n4211 6351\n35016 52675\n33869 50997\n96875 100000\n16315 24584\n76928 100000\n53192 79853\n20556 30957\n93676 100000\n63 91\n32232 48546\n70360 100000\n86393 100000\n41328 62165\n8638 12969\n23703 35728\n45195 67924\n86901 100000\n22948 34578\n66391 99581\n19369 29175\n68902 100000\n86137 100000\n3845 5793\n30727 46285\n67464 100000\n48748 73197\n10022 15077\n50404 75666\n96363 100000\n25204 37982\n31637 47646\n42580 64018\n92681 100000\n16914 25473\n35363 53195\n41866 62960\n84634 100000\n67632 100000\n70055 100000\n93997 100000\n43108 64802\n62461 93689\n70472 100000\n15388 23186\n88656 100000\n79551 100000\n34952 52578\n8844 13286\n102 152\n63755 95634\n74268 100000\n77749 100000\n49131 73770\n16896 25445\n90356 100000\n42403 63756\n6052 9089\n90231 100000\n83313 100000\n75750 100000\n40277 60576\n49550 74410\n96254 100000\n13652 20553\n66941 100000\n50707 76126\n29635 44634\n53374 80118\n59293 88950\n17322 26100\n96168 100000\n66235 99352\n28114 42332\n90223 100000\n53106 79726\n54736 82112\n67210 100000\n58142 87217\n72153 100000\n41986 63139\n98736 100000\n84586 100000\n58848 88276\n22990 34646\n95841 100000\n6874 10319\n32739 49288\n77706 100000\n28381 42731\n64422 96628\n22230 33509\n67718 100000\n63554 95324\n54075 81132\n11297 17001\n95036 100000\n55784 83698\n96546 100000\n56153 84249\n4493 6774\n6132 9207\n78484 100000\n40637 61120\n43484 65364\n73569 100000\n23695 35716\n81111 100000\n27885 41988\n70264 100000\n39533 59471\n12575 18917\n29834 44941\n47942 72004\n42845 64406\n76306 100000\n55699 83579\n50047 75133\n34629 52109\n31873 48005\n37635 56598\n48486 72810\n88999 100000\n14662 22074\n59263 88901\n74499 100000\n13747 20698\n36114 54311\n49567 74437\n66733 100000\n79609 100000\n30126 45390\n80180 100000\n24009 36190\n8780 13188\n28738 43272\n23287 35093\n55013 82538\n13751 20704\n50625 76005\n71131 100000\n27043 40730\n99216 100000\n97819 100000\n2498 3780\n54622 81952\n98114 100000\n56739 85121\n88368 100000\n15963 24051\n63708 95565\n44360 66669\n21073 31759\n51887 77893\n15795 23797\n96068 100000\n32360 48737\n14917 22464\n86629 100000\n68287 100000\n60751 91160\n4676 7052\n94091 100000\n24846 37459\n46398 69706\n34030 51230\n93959 100000\n51661 77549\n82572 100000\n64514 96765\n94130 100000\n58124 87191\n59337 89013\n20951 31567\n41027 61709\n55747 83643\n59579 89382\n44641 67091\n11075 16670\n99051 100000\n85516 100000\n43083 64765\n74449 100000\n6518 9788\n73741 100000\n82041 100000\n34999 52650\n70077 100000\n39097 58814\n44673 67140\n77631 100000\n21683 32687\n11205 16859\n61411 92141\n93453 100000\n92415 100000\n49716 74653\n95746 100000\n3137 4746\n91481 100000\n40631 61110\n47248 70977\n93127 100000\n69093 100000\n19954 30054\n48472 72784\n27612 41581\n50867 76364\n13449 20255\n57752 86628\n19363 29166\n84247 100000\n79873 100000\n23030 34706\n52401 78665\n94948 100000\n7380 11089\n93942 100000\n83423 100000\n18570 27993\n38746 58285\n15405 23213\n43751 65751\n4999 7529\n12826 19318\n57550 86326\n61565 92361\n59330 89003\n12632 19006\n38722 58246\n24866 37488\n15814 23827\n37687 56674\n86837 100000\n42288 63583\n15797 23801\n72829 100000\n24435 36827\n29415 44292\n69130 100000\n56693 85051\n13603 20480\n9683 14552\n32717 49255\n44766 67287\n91520 100000\n58149 87226\n92250 100000\n97593 100000\n55819 83750\n67472 100000\n28024 42184\n81519 100000\n93315 100000\n22033 33216\n34490 51907\n88122 100000\n38008 57174\n14310 21535\n37182 55922\n36314 54619\n83921 100000\n12848 19343\n43901 65975\n50995 76550\n76541 100000\n17963 27064\n62663 93993\n49486 74311\n5138 7729\n26830 40415\n64970 97441\n44549 66951\n27536 41469\n56591 84895\n71171 100000\n73462 100000\n11455 17241\n50664 76063\n13830 20824\n74900 100000\n72051 100000\n1791 2703\n85173 100000\n95748 100000\n17850 26889\n12168 18308\n62029 93055\n66258 99385\n43254 65025\n53151 79796\n47133 70813\n16423 24740\n9013 13542\n91489 100000\n43283 65069\n8791 13205\n50257 75454\n76185 100000\n88544 100000\n57687 86524\n28258 42549\n11052 16631\n64308 96450\n58336 87505\n53891 80870\n30568 46046\n31910 48059\n45102 67786\n60732 91130\n1274 1911\n49029 73613\n20826 31383\n81336 100000\n38155 57408\n67339 100000\n10045 15113\n66408 99606\n64650 96964\n46243 69467\n73092 100000\n49720 74659\n96446 100000\n85466 100000\n67201 100000\n9977 15005\n24322 36658\n53814 80758\n99018 100000\n37231 55996\n27844 41923\n16288 24543\n78274 100000\n91449 100000\n20581 30993\n8249 12389\n89079 100000\n39932 60063\n97095 100000\n14553 21908\n71356 100000\n5251 7893\n15984 24083\n73715 100000\n3779 5703\n96534 100000\n78648 100000\n11335 17061\n43372 65206\n90079 100000\n61747 92635\n33060 49789\n50487 75791\n35652 53613\n52875 79373\n96720 100000\n63856 95786\n19949 30045\n29327 44166\n75842 100000\n24232 36521\n45221 67962\n39395 59272\n3139 4749\n74954 100000\n69511 100000\n94258 100000\n61665 92512\n14909 22451\n57961 86949\n66369 99551\n66017 99012\n86375 100000\n14626 22019\n6042 9075\n27832 41907\n69662 100000\n98227 100000\n15500 23353\n88011 100000\n25484 38410\n82586 100000\n85625 100000\n62864 94277\n1128 1684\n88169 100000\n99394 100000\n91425 100000\n15535 23404\n21544 32482\n7910 11888\n30347 45718\n21853 32943\n55212 82845\n45783 68777\n62937 94386\n63692 95540\n20024 30161\n12714 19137\n13137 19792\n4793 7227\n90453 100000\n72866 100000\n95013 100000\n99056 100000\n6596 9897\n50411 75676\n8560 12850\n4205 6342\n99973 100000\n76001 100000\n51102 76708\n67844 100000\n58081 87124\n7700 11568\n41007 61677\n98540 100000\n85330 100000\n74870 100000\n35914 54015\n755 1135\n35396 53244\n23626 35610\n91137 100000\n79951 100000\n87167 100000\n80418 100000\n88285 100000\n94492 100000\n51687 77590\n1622 2441\n90999 100000\n50419 75691\n24096 36320\n67366 100000\n62808 94199\n74864 100000\n56321 84491\n22248 33536\n80678 100000\n38095 57315\n98186 100000\n93576 100000\n15964 24053\n51783 77734\n39118 58851\n26543 39989\n42848 64410\n56389 84597\n41569 62515\n65513 98273\n99400 100000\n46393 69699\n46055 69182\n8631 12958\n39565 59519\n69924 100000\n61588 92397\n83223 100000\n27903 42016\n61533 92315\n91725 100000\n88397 100000\n39117 58850\n28276 42576\n91238 100000\n26281 39594\n13474 20292\n27471 41366\n42195 63445\n673 1006\n86502 100000\n53446 80223\n2925 4429\n85776 100000\n96383 100000\n6155 9241\n82600 100000\n94150 100000\n27333 41163\n49062 73666\n64208 96305\n65538 98308\n66362 99541\n37565 56492\n39089 58802\n48884 73393\n27567 41513\n52919 79442\n72768 100000\n54757 82149\n70003 100000\n8937 13425\n4473 6742\n17439 26273\n83646 100000\n88094 100000\n59984 89991\n50340 75576\n20823 31378\n8115 12189\n38510 57936\n44497 66873\n28463 42854\n21087 31781\n14971 22548\n11794 17748\n84236 100000\n93473 100000\n78594 100000\n69601 100000\n85236 100000\n58209 87312\n86820 100000\n89062 100000\n26859 40461\n21756 32794\n5104 7680\n5564 8349\n39130 58868\n14155 21316\n64853 97270\n83803 100000\n17820 26850\n77478 100000\n10980 16529\n76766 100000\n98572 100000\n19750 29746\n8567 12860\n52131 78258\n62880 94303\n72393 100000\n60601 90925\n20337 30622\n13283 20009\n63941 95907\n39373 59240\n82221 100000\n41292 62112\n20810 31358\n6883 10330\n8153 12252\n37888 56993\n68702 100000\n47019 70639\n23837 35931\n75996 100000\n73408 100000\n70080 100000\n16923 25490\n55404 83142\n51838 77824\n53162 79811\n58726 88084\n83375 100000\n73561 100000\n4374 6594\n200 288\n89395 100000\n54377 81585\n48690 73108\n43991 66118\n4945 7453\n85993 100000\n2233 3380\n97801 100000\n38737 58271\n79376 100000\n36780 55318\n43434 65294\n83733 100000\n9360 14067\n3131 4738\n96527 100000\n18341 27640\n45367 68176\n76 113\n47483 71329\n44067 66228\n20090 30260\n98868 100000\n57329 86012\n15436 23255\n72500 100000\n12322 18535\n59122 88693\n38247 57544\n73751 100000\n13101 19735\n40352 60691\n94003 100000\n44793 67326\n17601 26523\n94160 100000\n68567 100000\n67989 100000\n53012 79584\n14558 21915\n52448 78735\n44920 67505\n70838 100000\n21693 32700\n33458 50373\n95179 100000\n15629 23547\n73253 100000\n81178 100000\n51752 77692\n89350 100000\n14609 21993\n90585 100000\n5143 7738\n71068 100000\n66141 99209\n91972 100000\n39708 59736\n46639 70060\n62622 93926\n58052 87085\n9822 14768\n57884 86826\n80480 100000\n33124 49886\n95030 100000\n66375 99559\n20546 30939\n60359 90559\n85022 100000\n65279 97910\n22792 34338\n63674 95515\n48999 73571\n43153 64865\n99960 100000\n85176 100000\n78348 100000\n11990 18031\n76162 100000\n47837 71850\n86506 100000\n32718 49256\n20387 30693\n50217 75395\n92521 100000\n80188 100000\n30918 46558\n63944 95911\n8335 12517\n98173 100000\n9659 14520\n91304 100000\n31464 47391\n85569 100000\n89749 100000\n17301 26071\n57112 85677\n8976 13486\n21315 32134\n60449 90693\n4739 7148\n29660 44672\n4760 7179\n72243 100000\n68377 100000\n97789 100000\n15709 23669\n79949 100000\n87595 100000\n62399 93601\n17699 26671\n70943 100000\n95590 100000\n18471 27837\n10965 16505\n51889 77896\n59841 89783\n90789 100000\n82496 100000\n84374 100000\n31638 47647\n47405 71209\n19488 29355\n90635 100000\n50054 75144\n66830 100000\n1057 1578\n27493 41402\n47256 70988\n52680 79080\n78248 100000\n27955 42086\n51030 76601\n16767 25249\n24755 37313\n9367 14075\n67107 100000\n10559 15879\n18042 27182\n88107 100000\n79450 100000\n85525 100000\n18824 28367\n83860 100000\n7210 10832\n86811 100000\n6515 9782\n82838 100000\n31666 47690\n58784 88179\n94453 100000\n87418 100000\n3048 4610\n63592 95388\n90553 100000\n71944 100000\n69140 100000\n1306 1957\n27293 41105\n59699 89556\n44342 66641\n75550 100000\n47493 71344\n28818 43395\n14944 22504\n39158 58911\n40410 60779\n76035 100000\n2361 3571\n64694 97031\n76430 100000\n41607 62573\n64344 96506\n36091 54279\n88464 100000\n47847 71865\n5133 7723\n19607 29532\n93205 100000\n49297 74020\n93159 100000\n35807 53856\n55226 82865\n16943 25519\n48725 73162\n35149 52878\n11360 17096\n67610 100000\n20602 31028\n54863 82309\n8216 12342\n8454 12689\n16069 24214\n13549 20399\n48860 73361\n30886 46510\n29982 45169\n43527 65431\n50740 76175\n34634 52118\n85108 100000\n53584 80416\n41206 61986\n7837 11772\n38305 57637\n24844 37456\n25811 38912\n54030 81074\n39512 59443\n33807 50900\n67807 100000\n7765 11666\n70867 100000\n67697 100000\n32611 49107\n66951 100000\n75539 100000\n70164 100000\n11012 16573\n93656 100000\n98753 100000\n20843 31411\n45294 68069\n92199 100000\n18158 27353\n64715 97063\n45182 67904\n42174 63416\n47829 71838\n26943 40588\n8188 12304\n56008 84033\n87754 100000\n43883 65949\n2620 3964\n50511 75826\n61775 92676\n39673 59687\n947 1414\n40341 60675\n97643 100000\n33703 50745\n4244 6400\n6150 9234\n41143 61889\n40235 60511\n15915 23981\n88384 100000\n66197 99294\n9701 14580\n74341 100000\n12613 18979\n66201 99300\n61628 92460\n75398 100000\n57147 85729\n97409 100000\n82785 100000\n77616 100000\n44002 66136\n98234 100000\n99360 100000\n50874 76376\n4896 7386\n17647 26592\n23305 35121\n55311 82997\n86603 100000\n65765 98632\n16668 25105\n89895 100000\n63251 94866\n70450 100000\n77984 100000\n3154 4769\n47458 71291\n21730 32750\n58343 87514\n83447 100000\n8697 13060\n87815 100000\n36776 55314\n32904 49545\n10303 15495\n9206 13830\n42533 63951\n9399 14128\n64866 97288\n32321 48678\n6385 9586\n64562 96834\n19115 28792\n77590 100000\n28727 43253\n2422 3659\n65379 98061\n11369 17111\n57920 86886\n58189 87284\n23860 35965\n42715 64220\n10555 15873\n72359 100000\n19150 28849\n80932 100000\n95656 100000\n10739 16151\n6733 10107\n57981 86980\n43696 65675\n92093 100000\n67121 100000\n25454 38367\n75002 100000\n72862 100000\n68203 100000\n10688 16076\n47508 71369\n50446 75731\n62877 94298\n33013 49721\n31077 46794\n31234 47039\n39260 59063\n83798 100000\n85979 100000\n60513 90791\n56450 84684\n78102 100000\n66494 99734\n98221 100000\n91551 100000\n87521 100000\n59419 89140\n62316 93480\n30850 46457\n80187 100000\n66030 99033\n27609 41577\n96923 100000\n71210 100000\n96901 100000\n79689 100000\n96430 100000\n12419 18681\n24546 36985\n1779 2683\n98682 100000\n51345 77062\n84303 100000\n43712 65695\n45942 69012\n31648 47661\n59309 88973\n16367 24661\n89571 100000\n30411 45810\n74877 100000\n26191 39462\n84048 100000\n19505 29379\n32917 49565\n20059 30213\n95087 100000\n9090 13656\n28634 43110\n57621 86427\n94894 100000\n57726 86586\n17558 26453\n15501 23355\n99422 100000\n66022 99021\n92956 100000\n1143 1706\n94057 100000\n95720 100000\n92520 100000\n32445 48855\n87974 100000\n37874 56970\n65177 97759\n64339 96497\n82156 100000\n71345 100000\n69865 100000\n31223 47022\n71405 100000\n9235 13875\n84570 100000\n32239 48553\n11220 16880\n52126 78250\n94982 100000\n10351 15570\n32074 48303\n24355 36705\n52562 78912\n49945 74984\n58220 87328\n37227 55990\n82825 100000\n12188 18336\n46865 70397\n61717 92592\n61758 92652\n22905 34511\n37047 55723\n96294 100000\n90158 100000\n25155 37910\n15139 22798\n30971 46638\n36411 54765\n72410 100000\n19791 29799\n71048 100000\n70002 100000\n79654 100000\n55982 83990\n80481 100000\n85834 100000\n58689 88022\n88602 100000\n60252 90400\n69351 100000\n34063 51277\n30679 46215\n73436 100000\n13023 19615\n14787 22261\n2154 3259\n1399 2101\n61582 92386\n86693 100000\n89351 100000\n61695 92557\n92262 100000\n51668 77559\n21026 31686\n76192 100000\n36922 55529\n69594 100000\n72195 100000\n30062 45288\n79037 100000\n34327 51672\n45472 68325\n43684 65658\n33072 49808\n77444 100000\n62874 94293\n4257 6417\n96479 100000\n977 1460\n96006 100000\n13251 19959\n79722 100000\n22234 33515\n97759 100000\n8511 12779\n44929 67518\n45790 68788\n49001 73573\n10136 15246\n3494 5280\n19436 29272\n64812 97210\n20772 31297\n51506 77308\n44384 66706\n12333 18550\n12536 18859\n16369 24663\n94460 100000\n56979 85479\n82697 100000\n91259 100000\n31425 47330\n6823 10241\n25173 37935\n26636 40125\n38559 58013\n17380 26181\n91415 100000\n88432 100000\n81691 100000\n55540 83342\n47375 71167\n37145 55867\n23506 35428\n96130 100000\n10923 16436\n67765 100000\n40747 61288\n92364 100000\n24425 36811\n8015 12040\n90380 100000\n58904 88360\n81898 100000\n38452 57854\n41267 62069\n94722 100000\n32173 48458\n77832 100000\n83488 100000\n62347 93527\n3300 4994\n11635 17505\n38304 57635\n72990 100000\n32270 48601\n38253 57554\n90120 100000\n60195 90314\n89733 100000\n74306 100000\n87457 100000\n32582 49066\n78245 100000\n46266 69504\n69319 100000\n7137 10719\n52094 78196\n58412 87609\n7784 11691\n4104 6192\n35760 53783\n70829 100000\n1036 1547\n50234 75417\n67883 100000\n50531 75861\n20432 30765\n81563 100000\n72123 100000\n26516 39948\n27647 41631\n90803 100000\n48773 73235\n42883 64464\n80581 100000\n94967 100000\n41700 62713\n33456 50370\n14525 21867\n9049 13595\n22315 33635\n54256 81402\n25683 38720\n56864 85303\n71697 100000\n42200 63453\n8750 13142\n7507 11283\n94809 100000\n51732 77660\n30156 45438\n46961 70546\n93138 100000\n45893 68938\n32995 49691\n29683 44708\n1338 2006\n57584 86369\n62515 93764\n32965 49642\n43933 66029\n15951 24037\n46741 70215\n99044 100000\n84796 100000\n78475 100000\n58614 87909\n55141 82735\n30508 45956\n99811 100000\n94058 100000\n29758 44827\n98 147\n45288 68060\n39641 59637\n51561 77394\n71993 100000\n44355 66662\n4112 6204\n54735 82111\n75070 100000\n29590 44563\n30379 45763\n94152 100000\n75933 100000\n53692 80578\n40623 61099\n39229 59013\n22777 34316\n2168 3281\n96059 100000\n73951 100000\n73601 100000\n70691 100000\n67573 100000\n6791 10198\n39308 59138\n60609 90938\n28769 43320\n32930 49585\n26204 39479\n25656 38678\n53643 80503\n42325 63637\n14195 21371\n33844 50956\n81769 100000\n77302 100000\n98798 100000\n84270 100000\n59496 89256\n52645 79029\n41957 63098\n52671 79067\n92705 100000\n22543 33967\n54759 82152\n84880 100000\n18117 27295\n10731 16141\n42942 64553\n13491 20316\n16978 25573\n28899 43517\n19388 29204\n90517 100000\n22154 33396\n61643 92481\n74285 100000\n73084 100000\n24741 37291\n83830 100000\n99758 100000\n36203 54444\n16261 24505\n3495 5281\n83728 100000\n6844 10275\n45625 68548\n60909 91386\n94146 100000\n65357 98026\n89066 100000\n35509 53412\n83754 100000\n39580 59546\n73281 100000\n70757 100000\n12012 18064\n28187 42445\n80735 100000\n3425 5181\n37256 56033\n77716 100000\n2680 4049\n65542 98313\n11553 17390\n23145 34882\n61941 92921\n49469 74282\n47733 71692\n10638 15994\n13070 19684\n27142 40877\n59991 90000\n93804 100000\n86913 100000\n903 1350\n8588 12897\n6138 9217\n73363 100000\n11345 17075\n96040 100000\n97533 100000\n39801 59877\n20343 30630\n51452 77225\n81275 100000\n67127 100000\n96710 100000\n11218 16878\n27213 40988\n6925 10394\n8929 13413\n46113 69269\n89103 100000\n80698 100000\n33987 51169\n59684 89532\n45067 67729\n81903 100000\n83661 100000\n83565 100000\n24257 36559\n78673 100000\n32311 48662\n46934 70500\n95146 100000\n82663 100000\n60054 90098\n399 587\n44057 66214\n42888 64471\n51069 76658\n78425 100000\n3582 5406\n89914 100000\n48556 72916\n68312 100000\n96400 100000\n47795 71790\n81844 100000\n60381 90591\n19819 29840\n94313 100000\n24392 36763\n55779 83689\n50865 76361\n58300 87448\n6782 10184\n42221 63483\n48380 72650\n27619 41591\n61504 92275\n83227 100000\n77807 100000\n12753 19198\n6323 9499\n68491 100000\n50351 75590\n73520 100000\n30414 45815\n18008 27134\n88561 100000\n94738 100000\n32352 48724\n35530 53439\n3458 5229\n21381 32237\n26851 40449\n7300 10963\n12831 19324\n64089 96128\n18579 28006\n84648 100000\n17000 25607\n33064 49794\n1678 2525\n5276 7929\n68700 100000\n39628 59616\n86413 100000\n77545 100000\n85579 100000\n1815 2739\n82532 100000\n33264 50090\n36134 54341\n11492 17296\n98889 100000\n35376 53214\n88317 100000\n18803 28336\n37505 56401\n48201 72383\n94317 100000\n42889 64473\n6085 9134\n77144 100000\n94129 100000\n46054 69180\n80190 100000\n35977 54107\n11745 17671\n20237 30473\n88183 100000\n9518 14309\n39183 58951\n26700 40221\n24623 37105\n24565 37014\n61713 92585\n87366 100000\n44169 66379\n86106 100000\n85752 100000\n44938 67533\n56622 84941\n38948 58594\n78064 100000\n16784 25275\n62828 94230\n95202 100000\n58765 88151\n94588 100000\n35169 52909\n94791 100000\n10787 16221\n56981 85481\n42194 63443\n19087 28747\n71561 100000\n19330 29122\n64888 97323\n99940 100000\n768 1153\n11418 17185\n15584 23478\n37106 55805\n1830 2762\n36371 54706\n48564 72924\n61821 92741\n68828 100000\n95717 100000\n51684 77585\n41099 61818\n3927 5924\n96758 100000\n19189 28906\n70528 100000\n33862 50986\n81354 100000\n93072 100000\n38173 57434\n55251 82904\n78099 100000\n82303 100000\n29567 44527\n22693 34188\n8658 12999\n33962 51134\n79164 100000\n87915 100000\n92753 100000\n20470 30822\n10398 15646\n15639 23563\n90990 100000\n93704 100000\n53370 80113\n63683 95527\n94343 100000\n94798 100000\n27433 41310\n62421 93633\n73203 100000\n74973 100000\n70844 100000\n85465 100000\n23940 36080\n25391 38270\n11397 17151\n58564 87831\n48841 73334\n18816 28354\n51408 77158\n85445 100000\n24588 37051\n54077 81136\n97694 100000\n30682 46218\n64202 96297\n29235 44024\n81108 100000\n45461 68308\n56568 84856\n87604 100000\n18202 27429\n67348 100000\n50583 75938\n1458 2193\n29995 45185\n28337 42663\n6785 10188\n19032 28667\n28358 42696\n81833 100000\n27572 41520\n30402 45797\n19872 29928\n97465 100000\n99361 100000\n91877 100000\n40069 60273\n79537 100000\n19261 29016\n17988 27101\n39871 59979\n57731 86593\n39495 59419\n44957 67564\n48594 72963\n74560 100000\n14822 22315\n20498 30870\n34391 51761\n62786 94167\n73047 100000\n97904 100000\n75318 100000\n31708 47755\n89523 100000\n94779 100000\n94398 100000\n44275 66539\n59448 89183\n41106 61829\n81883 100000\n20499 30871\n41847 62930\n69181 100000\n65113 97657\n65129 97679\n57466 86208\n37492 56384\n59943 89932\n17920 27001\n77249 100000\n45395 68217\n12334 18551\n82710 100000\n25991 39168\n79650 100000\n59804 89722\n94182 100000\n23755 35805\n25787 38877\n12381 18623\n76190 100000\n50044 75128\n53621 80468\n99605 100000\n3708 5596\n82705 100000\n22206 33472\n11341 17069\n51230 76898\n5803 8714\n88065 100000\n94156 100000\n91429 100000\n76715 100000\n89802 100000\n55906 83878\n32085 48320\n70605 100000\n10836 16298\n92849 100000\n37631 56592\n52712 79128\n41618 62588\n31060 46771\n35092 52792\n40154 60394\n80059 100000\n55626 83471\n69979 100000\n78610 100000\n86386 100000\n60439 90677\n65517 98280\n48204 72388\n7245 10883\n40058 60255\n4505 6793\n86060 100000\n9170 13778\n85510 100000\n70225 100000\n31498 47441\n71280 100000\n75172 100000\n74047 100000\n20982 31617\n10805 16252\n30905 46536\n41388 62252\n39682 59701\n9183 13797\n35875 53955\n50268 75471\n79395 100000\n46430 69751\n95785 100000\n72435 100000\n38149 57398\n57732 86594\n24600 37068\n97975 100000\n29928 45078\n80621 100000\n54636 81972\n17537 26421\n66893 100000\n19893 29962\n27717 41737\n9825 14771\n23470 35370\n89267 100000\n72566 100000\n70611 100000\n8822 13254\n38330 57674\n62329 93500\n72175 100000\n14563 21923\n68167 100000\n66397 99590\n64508 96756\n34920 52535\n95805 100000\n70855 100000\n73274 100000\n13421 20215\n31719 47771\n12646 19031\n64965 97434\n75645 100000\n13533 20373\n89179 100000\n86612 100000\n3257 4929\n85609 100000\n74901 100000\n28506 42918\n202 291\n78284 100000\n2764 4186\n46369 69660\n6008 9026\n91787 100000\n99482 100000\n32685 49211\n20976 31607\n12593 18946\n87254 100000\n67666 100000\n19881 29944\n60646 90993\n37100 55796\n21819 32889\n56898 85355\n50738 76171\n34325 51669\n15511 23371\n70265 100000\n71516 100000\n59954 89947\n73192 100000\n9576 14397\n5298 7961\n59580 89383\n49829 74815\n79032 100000\n60020 90046\n90109 100000\n77405 100000\n71690 100000\n73612 100000\n72692 100000\n56086 84148\n85024 100000\n59376 89076\n46451 69782\n47610 71518\n85085 100000\n68975 100000\n41023 61703\n86880 100000\n2908 4407\n50444 75728\n87289 100000\n88679 100000\n72337 100000\n19832 29861\n38855 58459\n57042 85573\n6448 9685\n74186 100000\n46800 70298\n65643 98462\n99714 100000\n41066 61768\n92383 100000\n44988 67610\n89987 100000\n17174 25877\n56775 85169\n47296 71048\n3272 4954\n10371 15602\n76735 100000\n51363 77089\n53540 80354\n41755 62794\n52066 78153\n28255 42544\n688 1029\n27718 41739\n92830 100000\n14820 22313\n45142 67844\n5440 8168\n73575 100000\n43554 65473\n45382 68197\n78432 100000\n6897 10350\n3676 5547\n62688 94029\n25096 37826\n80846 100000\n27495 41405\n23103 34820\n16961 25545\n44866 67431\n66160 99240\n83596 100000\n34508 51933\n55986 83996\n47637 71552\n43398 65244\n17903 26971\n57730 86591\n38481 57890\n63323 94975\n6016 9037\n14532 21876\n67636 100000\n91542 100000\n26975 40636\n53487 80276\n31106 46840\n33588 50568\n81235 100000\n22672 34155\n19936 30027\n41837 62917\n30063 45290\n1588 2388\n8229 12359\n54944 82437\n99673 100000\n51753 77693\n61705 92573\n39552 59500\n78542 100000\n72717 100000\n82463 100000\n76260 100000\n81395 100000\n76852 100000\n50428 75703\n80227 100000\n89528 100000\n23834 35927\n28027 42190\n69583 100000\n62191 93299\n5052 7603\n73256 100000\n93884 100000\n2458 3715\n5592 8395\n61365 92069\n60342 90533\n64322 96472\n59909 89883\n82607 100000\n52482 78783\n59044 88578\n44023 66165\n23429 35307\n23489 35399\n84312 100000\n79107 100000\n40307 60624\n50841 76328\n17994 27111\n31744 47805\n67278 100000\n62818 94216\n67543 100000\n2255 3415\n59723 89595\n89521 100000\n44952 67556\n84719 100000\n59449 89185\n57319 85996\n80878 100000\n32107 48354\n69659 100000\n54837 82270\n86542 100000\n98641 100000\n45258 68017\n54987 82500\n32978 49661\n28916 43540\n21689 32694\n33580 50555\n47668 71599\n64268 96391\n24082 36301\n81453 100000\n29100 43822\n34645 52137\n97017 100000\n36493 54886\n53053 79645\n15355 23137\n42180 63425\n60945 91435\n59891 89855\n31291 47127\n84666 100000\n45079 67747\n75376 100000\n14712 22146\n53130 79762\n25043 37746\n45726 68692\n81368 100000\n92891 100000\n70563 100000\n91453 100000\n92234 100000\n56826 85246\n32705 49240\n50188 75354\n58748 88124\n3180 4810\n76959 100000\n55984 83992\n15779 23769\n1613 2425\n50120 75249\n28822 43401\n58813 88227\n49157 73811\n26244 39538\n61438 92180\n47298 71051\n33928 51085\n83953 100000\n48018 72120\n8172 12279\n43947 66053\n13191 19869\n34368 51728\n31073 46787\n12855 19355\n40269 60561\n91368 100000\n98819 100000\n17534 26415\n59500 89262\n16628 25044\n75323 100000\n14175 21344\n84139 100000\n45328 68120\n33148 49920\n60985 91499\n18826 28370\n60860 91313\n8719 13093\n17495 26356\n68506 100000\n41574 62523\n22949 34579\n98124 100000\n5944 8937\n59714 89581\n62356 93539\n20945 31558\n37419 56275\n77359 100000\n39415 59300\n28529 42948\n74545 100000\n48759 73214\n1574 2364\n5966 8967\n43525 65428\n8118 12192\n18167 27370\n15390 23189\n73191 100000\n1876 2828\n54515 81799\n59074 88622\n77298 100000\n60452 90698\n29703 44738\n1927 2906\n26990 40657\n68050 100000\n27621 41593\n58313 87467\n83518 100000\n43722 65711\n55967 83968\n94835 100000\n46273 69516\n26776 40332\n14765 22225\n4001 6036\n28170 42419\n69967 100000\n71368 100000\n77067 100000\n23389 35245\n56117 84194\n61744 92630\n29032 43720\n51621 77487\n90969 100000\n46725 70191\n4916 7414\n6416 9631\n80702 100000\n7506 11282\n65637 98454\n10845 16310\n37757 56788\n69622 100000\n11120 16738\n95488 100000\n20313 30585\n29611 44598\n72603 100000\n75763 100000\n69249 100000\n64529 96787\n21574 32527\n12176 18322\n36956 55582\n19638 29577\n42470 63860\n24010 36192\n67541 100000\n59880 89838\n24582 37041\n18538 27943\n35277 53066\n447 662\n34990 52636\n49705 74636\n29667 44683\n67273 100000\n45738 68710\n77347 100000\n70701 100000\n90555 100000\n13971 21037\n20026 30164\n47519 71384\n98478 100000\n46949 70527\n40033 60219\n97828 100000\n90259 100000\n43327 65133\n20393 30704\n58761 88144\n91609 100000\n93343 100000\n36673 55161\n1309 1961\n8672 13021\n47836 71849\n8071 12126\n55190 82810\n22071 33275\n82968 100000\n4804 7245\n14814 22303\n50772 76219\n69928 100000\n94380 100000\n62649 93971\n63137 94692\n52183 78337\n88757 100000\n82192 100000\n87519 100000\n95241 100000\n21447 32335\n18105 27276\n94962 100000\n59591 89400\n34027 51227\n83579 100000\n13516 20349\n97834 100000\n46342 69619\n93271 100000\n31525 47481\n97300 100000\n59019 88539\n15894 23950\n24920 37570\n14059 21174\n42519 63931\n16221 24440\n77103 100000\n14268 21474\n46099 69248\n18541 27948\n10873 16354\n56029 84062\n57988 86990\n20706 31194\n61127 91715\n42675 64161\n74396 100000\n29261 44063\n83843 100000\n46713 70172\n19989 30107\n25597 38581\n13167 19836\n65094 97626\n58219 87326\n76799 100000\n8086 12149\n16511 24873\n58680 88009\n30369 45750\n84584 100000\n68434 100000\n64973 97445\n77764 100000\n90049 100000\n68058 100000\n86758 100000\n44683 67156\n79079 100000\n29559 44516\n78914 100000\n2273 3443\n8382 12581\n69126 100000\n18223 27461\n37728 56739\n91934 100000\n46038 69157\n83033 100000\n79024 100000\n37067 55753\n85963 100000\n72237 100000\n18631 28082\n74507 100000\n18616 28061\n27069 40765\n48322 72563\n74314 100000\n88969 100000\n58229 87339\n46217 69427\n67788 100000\n37807 56867\n17767 26769\n99672 100000\n24950 37611\n34342 51693\n75387 100000\n39741 59787\n57036 85564\n89875 100000\n67912 100000\n19093 28757\n62513 93761\n65864 98776\n87605 100000\n54507 81789\n19602 29523\n28266 42562\n96578 100000\n74406 100000\n78063 100000\n58119 87183\n70200 100000\n2025 3061\n73153 100000\n31830 47937\n43046 64708\n64620 96921\n87000 100000\n2881 4369\n23814 35896\n74751 100000\n37033 55702\n8233 12365\n3651 5511\n81628 100000\n96861 100000\n88157 100000\n98280 100000\n18115 27293\n87725 100000\n66198 99296\n50475 75773\n95426 100000\n43428 65284\n95516 100000\n64770 97147\n52730 79152\n24882 37515\n13872 20890\n83376 100000\n69593 100000\n62591 93882\n5185 7800\n68710 100000\n58171 87258\n25525 38475\n58027 87044\n99406 100000\n77041 100000\n17376 26175\n41401 62273\n12081 18172\n39058 58755\n4216 6358\n15031 22633\n64626 96929\n63669 95508\n628 942\n36669 55155\n25599 38585\n46162 69345\n73076 100000\n3705 5592\n24336 36678\n72969 100000\n60825 91266\n28438 42817\n64861 97282\n39237 59027\n86463 100000\n43381 65219\n72036 100000\n85111 100000\n91119 100000\n61322 92008\n40374 60725\n5627 8448\n55476 83249\n26670 40178\n84543 100000\n27236 41021\n11730 17650\n57077 85623\n57402 86115\n30159 45443\n78886 100000\n84337 100000\n29375 44235\n23474 35377\n16142 24328\n10935 16456\n69310 100000\n59746 89630\n37789 56839\n79393 100000\n6931 10403\n13165 19833\n31232 47036\n36040 54197\n61309 91990\n37633 56595\n8504 12770\n66935 100000\n68542 100000\n47253 70983\n39484 59402\n25365 38226\n72250 100000\n40165 60411\n67314 100000\n51008 76571\n62113 93178\n76861 100000\n76073 100000\n56314 84481\n27135 40867\n12135 18256\n69960 100000\n64682 97013\n87003 100000\n16412 24724\n12612 18977\n22433 33807\n9809 14749\n73251 100000\n87039 100000\n56761 85148\n54357 81558\n3469 5245\n66013 99006\n7555 11354\n93991 100000\n13432 20233\n15900 23960\n42654 64132\n46015 69124\n41069 61773\n75458 100000\n92657 100000\n328 472\n64527 96783\n40274 60571\n34929 52547\n91283 100000\n91998 100000\n36128 54330\n95683 100000\n57875 86815\n10253 15424\n68552 100000\n84728 100000\n70837 100000\n16425 24742\n91694 100000\n16701 25156\n29640 44641\n96736 100000\n13669 20581\n64112 96162\n87879 100000\n77320 100000\n66390 99579\n75102 100000\n56425 84649\n19717 29698\n41287 62102\n80201 100000\n564 838\n10093 15183\n38446 57845\n98608 100000\n5289 7949\n89686 100000\n30226 45541\n40142 60378\n79953 100000\n22611 34064\n37580 56515\n29576 44540\n78351 100000\n990 1480\n65635 98452\n87077 100000\n24327 36665\n11668 17558\n51860 77856\n62175 93276\n1021 1525\n96257 100000\n45139 67839\n74211 100000\n33902 51044\n15097 22733\n74391 100000\n14611 21996\n13806 20788\n98861 100000\n13542 20387\n54791 82200\n28898 43515\n43441 65302\n33074 49812\n42565 63997\n43158 64873\n38088 57304\n24168 36427\n26508 39938\n33007 49711\n9126 13713\n47799 71795\n38736 58269\n71877 100000\n78554 100000\n52353 78594\n21136 31855\n40347 60685\n29442 44335\n98934 100000\n17852 26892\n9693 14568\n55976 83981\n55979 83986\n40078 60285\n40001 60168\n69670 100000\n42562 63994\n15601 23503\n34083 51310\n46493 69846\n3870 5833\n84740 100000\n28813 43390\n74951 100000\n1027 1533\n90160 100000\n38222 57508\n12625 18995\n44460 66814\n53578 80407\n24073 36287\n72074 100000\n99313 100000\n51618 77481\n12052 18125\n40937 61568\n92300 100000\n50900 76416\n10238 15404\n70351 100000\n8680 13035\n95767 100000\n33376 50250\n53924 80917\n69875 100000\n55607 83445\n20759 31277\n70952 100000\n60173 90284\n59407 89122\n11037 16609\n52288 78493\n95842 100000\n8875 13333\n65734 98589\n80111 100000\n66806 100000\n62623 93927\n4349 6557\n87957 100000\n46761 70244\n56026 84059\n32406 48799\n62645 93963\n85148 100000\n78444 100000\n94792 100000\n22622 34081\n37261 56040\n40318 60638\n87041 100000\n87361 100000\n55384 83112\n37963 57104\n55780 83690\n46941 70514\n41372 62230\n24372 36731\n38751 58293\n43394 65239\n85901 100000\n88207 100000\n71437 100000\n70770 100000\n2547 3853\n74513 100000\n22695 34191\n26465 39877\n57450 86186\n18417 27754\n65095 97628\n29355 44207\n38013 57184\n77911 100000\n86082 100000\n2937 4446\n40450 60837\n24595 37061\n47500 71357\n78563 100000\n56121 84202\n87590 100000\n11241 16912\n82346 100000\n26275 39583\n70325 100000\n12693 19106\n4270 6434\n41350 62195\n96076 100000\n3662 5526\n20867 31447\n59885 89844\n94075 100000\n28367 42710\n27655 41647\n20811 31359\n63143 94702\n67193 100000\n2992 4528\n63526 95278\n8914 13390\n80920 100000\n73892 100000\n94372 100000\n91974 100000\n42950 64565\n32442 48849\n79696 100000\n57605 86399\n99554 100000\n73885 100000\n90856 100000\n27512 41433\n64212 96310\n68188 100000\n47623 71534\n8159 12261\n16795 25289\n30711 46262\n8517 12788\n80742 100000\n15412 23222\n72205 100000\n3559 5373\n15104 22745\n62890 94317\n80571 100000\n33805 50897\n14864 22382\n30214 45525\n29721 44767\n60677 91037\n83139 100000\n75696 100000\n37636 56600\n39569 59527\n82952 100000\n82648 100000\n17239 25980\n50527 75855\n72663 100000\n53650 80514\n48344 72597\n9650 14507\n52111 78225\n76307 100000\n29566 44525\n4786 7216\n27428 41303\n4582 6912\n11317 17033\n99987 100000\n15241 22952\n4459 6722\n25247 38050\n53155 79803\n8877 13337\n24432 36822\n82874 100000\n50889 76398\n38614 58088\n81712 100000\n1904 2870\n521 770\n54570 81876\n94819 100000\n82123 100000\n31339 47196\n64731 97088\n6018 9040\n22015 33191\n2370 3585\n26639 40130\n32434 48836\n30728 46286\n80127 100000\n19657 29604\n94757 100000\n31684 47715\n13391 20167\n40607 61076\n49442 74241\n9908 14896\n39133 58874\n72184 100000\n8860 13310\n55708 83592\n76402 100000\n96866 100000\n48450 72750\n88389 100000\n54645 81984\n17566 26466\n21604 32568\n33297 50140\n43164 64881\n7553 11351\n13038 19637\n22305 33620\n55239 82886\n83817 100000\n42420 63780\n95060 100000\n20276 30532\n76558 100000\n12555 18888\n67793 100000\n26999 40670\n36490 54883\n54544 81840\n91736 100000\n46872 70407\n60193 90311\n11876 17866\n73483 100000\n60174 90286\n46089 69233\n14157 21319\n16713 25172\n97764 100000\n61009 91536\n35949 54067\n75040 100000\n39288 59104\n2833 4296\n84470 100000\n77031 100000\n21743 32770\n41187 61956\n95941 100000\n38908 58535\n29942 45102\n85997 100000\n36605 55067\n80157 100000\n78029 100000\n6662 10000\n57394 86103\n40364 60711\n90264 100000\n44933 67526\n68420 100000\n38388 57757\n87262 100000\n3369 5096\n32043 48255\n74539 100000\n82627 100000\n59671 89513\n61839 92771\n98637 100000\n62107 93167\n48278 72495\n91514 100000\n71833 100000\n8276 12427\n72997 100000\n63920 95878\n37664 56637\n6719 10085\n94935 100000\n79151 100000\n57391 86099\n58949 88431\n41550 62490\n91751 100000\n69385 100000\n80755 100000\n71477 100000\n58798 88201\n18449 27803\n19172 28882\n36177 54406\n63473 95197\n22128 33359\n52365 78611\n41436 62325\n95617 100000\n85378 100000\n40860 61455\n60883 91347\n78402 100000\n10393 15637\n33707 50750\n64040 96056\n55670 83536\n21934 33070\n73962 100000\n50139 75279\n51182 76829\n58199 87297\n16803 25302\n88574 100000\n54147 81238\n57698 86541\n42425 63788\n77959 100000\n12399 18647\n85706 100000\n53245 79931\n8435 12658\n6629 9948\n43267 65043\n39334 59178\n61818 92737\n90092 100000\n71773 100000\n37756 56787\n94848 100000\n48557 72917\n38396 57769\n47529 71398\n78330 100000\n21386 32243\n41865 62959\n42018 63185\n88170 100000\n40991 61651\n69852 100000\n73145 100000\n4603 6940\n52849 79334\n16109 24279\n47621 71531\n6848 10281\n93862 100000\n5043 7590\n89102 100000\n56454 84691\n98926 100000\n92671 100000\n7983 11991\n89498 100000\n77105 100000\n41713 62731\n87851 100000\n90132 100000\n22923 34535\n82923 100000\n15832 23860\n83129 100000\n37297 56094\n25538 38491\n66545 99811\n93928 100000\n65986 98970\n2663 4025\n36046 54205\n1694 2551\n80652 100000\n56507 84769\n78724 100000\n67624 100000\n4855 7321\n53107 79728\n3379 5112\n93007 100000\n15725 23690\n23970 36125\n23726 35761\n31057 46765\n48843 73338\n8495 12758\n31574 47555\n57167 85759\n19321 29110\n95643 100000\n442 653\n981 1466\n29537 44481\n80978 100000\n35020 52680\n16066 24209\n14124 21272\n97381 100000\n28421 42791\n35236 53008\n61992 92999\n84886 100000\n5516 8280\n83848 100000\n33715 50762\n9169 13776\n93004 100000\n61422 92157\n6434 9661\n98057 100000\n69490 100000\n9967 14987\n83678 100000\n61597 92412\n76275 100000\n75615 100000\n99519 100000\n56157 84257\n90903 100000\n53176 79829\n19451 29295\n62813 94208\n53022 79601\n36638 55112\n28154 42397\n97277 100000\n4939 7445\n28619 43088\n36703 55203\n7816 11742\n64165 96240\n97673 100000\n43323 65127\n3972 5994\n86692 100000\n41538 62474\n35986 54118\n77265 100000\n67381 100000\n44179 66393\n68472 100000\n47380 71173\n13949 21004\n22376 33723\n2729 4127\n73533 100000\n4579 6909\n6720 10087\n2429 3669\n72998 100000\n14099 21232\n38724 58250\n51101 76707\n31882 48017\n5464 8204\n12364 18599\n45780 68773\n11998 18042\n18368 27682\n38692 58200\n78152 100000\n84752 100000\n83960 100000\n74733 100000\n48372 72639\n42587 64028\n91565 100000\n30861 46472\n75571 100000\n63767 95651\n87845 100000\n94464 100000\n27044 40731\n59190 88792\n46936 70504\n23431 35310\n23202 34969\n1154 1721\n27761 41803\n78279 100000\n20527 30910\n68415 100000\n87156 100000\n16743 25214\n7511 11288\n93381 100000\n96860 100000\n24823 37424\n86044 100000\n1058 1579\n86133 100000\n46773 70260\n64791 97180\n43320 65123\n49240 73940\n37526 56433\n95993 100000\n80422 100000\n19470 29326\n90464 100000\n66117 99168\n50003 75066\n4965 7482\n85914 100000\n82604 100000\n25115 37855\n97672 100000\n63982 95968\n25435 38336\n18845 28397\n37376 56209\n27160 40905\n30206 45512\n21145 31869\n65785 98657\n34039 51243\n69680 100000\n68548 100000\n14714 22149\n86046 100000\n70064 100000\n438 647\n16487 24833\n33396 50277\n60803 91236\n16171 24369\n67705 100000\n34008 51198\n96675 100000\n36719 55224\n38124 57358\n61608 92426\n58859 88295\n49104 73728\n7143 10728\n82248 100000\n3575 5395\n75457 100000\n79353 100000\n49851 74848\n77245 100000\n3545 5353\n77622 100000\n36598 55054\n15719 23680\n74099 100000\n90786 100000\n42642 64115\n44978 67596\n99349 100000\n27685 41691\n27996 42142\n31160 46925\n89821 100000\n46078 69217\n97548 100000\n57695 86536\n47758 71729\n76435 100000\n11996 18040\n8123 12201\n99525 100000\n82361 100000\n66251 99376\n83202 100000\n37814 56879\n67053 100000\n16364 24656\n44617 67055\n68462 100000\n30191 45489\n87816 100000\n90260 100000\n8698 13062\n98584 100000\n36122 54323\n63007 94489\n61704 92571\n28225 42500\n81173 100000\n26902 40529\n6575 9868\n40081 60288\n29784 44859\n94063 100000\n51848 77838\n75289 100000\n56872 85315\n78218 100000\n51445 77214\n96486 100000\n42494 63893\n18480 27851\n41255 62049\n57024 85546\n5213 7842\n43042 64701\n75544 100000\n60629 90968\n45896 68943\n10251 15421\n31044 46746\n85066 100000\n11288 16987\n87618 100000\n39803 59881\n96670 100000\n65115 97660\n37927 57049\n70588 100000\n31473 47404\n76900 100000\n20853 31426\n40625 61102\n17659 26610\n5623 8441\n79485 100000\n13785 20757\n26411 39792\n68413 100000\n61800 92711\n86806 100000\n58893 88344\n76962 100000\n82727 100000\n14121 21268\n95581 100000\n31554 47525\n62028 93053\n28098 42307\n82425 100000\n27335 41166\n20319 30595\n39014 58693\n90868 100000\n93212 100000\n63536 95295\n7052 10584\n48441 72737\n94038 100000\n4611 6955\n34548 51991\n18972 28578\n75153 100000\n9191 13807\n42250 63524\n74614 100000\n78016 100000\n84625 100000\n72607 100000\n83576 100000\n73104 100000\n99724 100000\n75228 100000\n83907 100000\n86834 100000\n84013 100000\n89573 100000\n88373 100000\n36228 54482\n48281 72501\n9198 13818\n44735 67236\n90498 100000\n61896 92859\n66015 99008\n39945 60082\n16386 24688\n16925 25494\n96780 100000\n6876 10322\n75728 100000\n19299 29077\n22881 34471\n43575 65500\n92424 100000\n2898 4395\n19655 29601\n47006 70616\n73560 100000\n85477 100000\n8047 12089\n54971 82475\n20841 31408\n12210 18369\n82904 100000\n3726 5626\n99084 100000\n39218 58996\n14890 22421\n89454 100000\n50513 75829\n18889 28461\n85887 100000\n15680 23628\n45388 68206\n692 1036\n7617 11445\n99249 100000\n20521 30902\n78611 100000\n68452 100000\n4584 6916\n61052 91598\n50974 76519\n725 1085\n3409 5156\n66615 99917\n12447 18720\n31845 47961\n66611 99910\n60563 90867\n35133 52853\n43028 64680\n952 1422\n71164 100000\n97879 100000\n53460 80241\n87263 100000\n38027 57207\n21631 32611\n57033 85559\n59046 88580\n45866 68899\n57102 85663\n70584 100000\n13439 20241\n23560 35514\n25646 38661\n18986 28599\n56291 84449\n72889 100000\n88275 100000\n15144 22806\n55266 82927\n29276 44088\n75503 100000\n90750 100000\n58891 88341\n80526 100000\n89701 100000\n97716 100000\n94198 100000\n44034 66181\n34409 51786\n67148 100000\n64983 97460\n76830 100000\n11689 17592\n67767 100000\n20327 30604\n69976 100000\n65917 98861\n61943 92924\n67762 100000\n3373 5103\n67811 100000\n37732 56747\n19233 28973\n36321 54630\n28053 42235\n42412 63770\n55997 84013\n77613 100000\n41920 63041\n78775 100000\n49393 74170\n63164 94733\n76294 100000\n15805 23815\n17536 26419\n71631 100000\n77171 100000\n55252 82905\n95424 100000\n39270 59077\n48284 72506\n49707 74639\n23573 35531\n37783 56829\n32247 48564\n70049 100000\n60078 90135\n93914 100000\n49301 74027\n6863 10304\n89117 100000\n23393 35251\n10426 15682\n30164 45449\n33725 50777\n47246 70974\n87472 100000\n19290 29062\n43798 65826\n48313 72547\n76479 100000\n53343 80075\n20679 31147\n92673 100000\n67626 100000\n79018 100000\n5049 7599\n76120 100000\n88734 100000\n95877 100000\n92044 100000\n89625 100000\n21987 33150\n1414 2123\n44835 67388\n56858 85293\n26026 39217\n73247 100000\n27096 40807\n91371 100000\n75834 100000\n26136 39383\n6819 10236\n91590 100000\n15150 22816\n10928 16444\n19588 29500\n27576 41527\n30740 46306\n70905 100000\n11737 17661\n71599 100000\n73374 100000\n81706 100000\n64219 96320\n95147 100000\n6401 9609\n13501 20329\n52572 78929\n79197 100000\n58163 87244\n79339 100000\n7474 11238\n21623 32600\n79532 100000\n48410 72693\n16321 24593\n74248 100000\n85276 100000\n7113 10680\n86946 100000\n78419 100000\n67613 100000\n78463 100000\n55336 83036\n62684 94024\n99355 100000\n56164 84268\n94851 100000\n96306 100000\n91569 100000\n74746 100000\n72885 100000\n24160 36412\n47528 71396\n36119 54317\n32180 48467\n34536 51972\n575 854\n65751 98615\n79751 100000\n36837 55402\n95909 100000\n62106 93166\n12147 18278\n76851 100000\n38180 57444\n2399 3626\n67063 100000\n8416 12632\n25047 37753\n18045 27188\n57143 85724\n94610 100000\n85831 100000\n32637 49145\n54384 81595\n14648 22056\n40190 60447\n92404 100000\n14613 21999\n63382 95061\n6192 9299\n73576 100000\n2223 3366\n47677 71611\n38901 58526\n30148 45424\n66771 100000\n23399 35258\n54535 81825\n90029 100000\n81694 100000\n53947 80949\n36002 54144\n7631 11466\n15214 22909\n60425 90657\n22009 33183\n15284 23018\n90434 100000\n10098 15190\n66786 100000\n61518 92293\n62983 94453\n66046 99057\n50701 76116\n82357 100000\n92958 100000\n69447 100000\n25057 37768\n94949 100000\n85720 100000\n49610 74503\n98029 100000\n66888 100000\n59209 88818\n7780 11686\n48324 72565\n94423 100000\n59166 88757\n16030 24153\n14742 22190\n38181 57446\n80566 100000\n15837 23868\n72953 100000\n66110 99156\n10565 15886\n41887 62989\n81098 100000\n79475 100000\n83378 100000\n4412 6652\n71609 100000\n80191 100000\n57085 85635\n74494 100000\n77295 100000\n28713 43232\n26627 40111\n86176 100000\n26799 40368\n46966 70555\n48479 72797\n22133 33364\n79712 100000\n8601 12913\n8607 12921\n12730 19161\n66295 99443\n25390 38268\n96518 100000\n53865 80831\n26547 39997\n64461 96682\n56419 84641\n10560 15881\n31393 47278\n7450 11199\n89907 100000\n50031 75108\n2497 3779\n40766 61316\n80509 100000\n36737 55251\n58636 87942\n61831 92757\n78413 100000\n58217 87323\n88357 100000\n46323 69591\n28450 42835\n9551 14359\n5962 8961\n73470 100000\n16492 24841\n27084 40788\n99091 100000\n36250 54518\n49849 74844\n92759 100000\n46237 69456\n92536 100000\n32133 48391\n28785 43347\n53275 79974\n92271 100000\n29146 43888\n10335 15544\n95249 100000\n21353 32195\n19727 29713\n5769 8663\n52900 79413\n51488 77280\n15451 23275\n44153 66357\n15195 22882\n45875 68912\n27273 41077\n22968 34608\n43821 65862\n40377 60728\n36702 55201\n30162 45447\n45104 67789\n98838 100000\n23028 34703\n38700 58212\n10578 15904\n93310 100000\n10020 15075\n84982 100000\n48429 72720\n71403 100000\n24027 36222\n43359 65184\n75572 100000\n66700 100000\n13489 20312\n45387 68205\n38118 57348\n33304 50150\n69099 100000\n59531 89309\n52855 79341\n60069 90121\n61671 92522\n22647 34116\n38761 58310\n75413 100000\n3013 4557\n14691 22116\n76456 100000\n6666 10005\n13947 21001\n92397 100000\n17822 26853\n12328 18543\n99183 100000\n99254 100000\n43214 64960\n45040 67687\n66975 100000\n79008 100000\n17698 26670\n98159 100000\n55840 83782\n75501 100000\n88658 100000\n21660 32655\n18563 27984\n41729 62753\n46472 69812\n25053 37762\n62555 93833\n70433 100000\n78592 100000\n49787 74757\n81077 100000\n33146 49918\n40424 60799\n53923 80915\n566 841\n14411 21691\n33738 50796\n28431 42807\n59030 88557\n15953 24040\n39196 58968\n65536 98304\n664 995\n84458 100000\n46423 69742\n91912 100000\n51598 77450\n47419 71228\n1149 1714\n29337 44181\n55872 83825\n87774 100000\n16245 24481\n35651 53612\n81588 100000\n43405 65253\n99614 100000\n25591 38571\n27684 41689\n8542 12823\n11914 17923\n79952 100000\n62230 93358\n79703 100000\n149 217\n59392 89100\n24726 37270\n18425 27767\n13878 20899\n35697 53688\n16823 25329\n44663 67127\n67419 100000\n1797 2712\n85991 100000\n48352 72609\n75940 100000\n86872 100000\n35391 53235\n18997 28617\n86322 100000\n21625 32603\n51004 76564\n24144 36392\n89559 100000\n13780 20750\n34169 51435\n9236 13877\n17842 26878\n12775 19236\n870 1299\n68492 100000\n92799 100000\n98410 100000\n3035 4591\n48309 72543\n35279 53069\n19886 29952\n30229 45547\n24088 36309\n39327 59168\n20513 30892\n82961 100000\n46880 70417\n88871 100000\n71321 100000\n25272 38086\n41805 62867\n79940 100000\n22429 33802\n50015 75083\n13750 20702\n27484 41387\n28382 42733\n39593 59565\n85881 100000\n52433 78714\n14789 22263\n80694 100000\n81748 100000\n6887 10334\n64465 96688\n92276 100000\n50968 76509\n90895 100000\n33900 51041\n6636 9961\n12428 18693\n21217 31977\n15479 23320\n37253 56028\n59850 89795\n99684 100000\n50604 75972\n93116 100000\n75981 100000\n76841 100000\n24662 37162\n83919 100000\n62269 93412\n79148 100000\n33683 50713\n51760 77702\n84621 100000\n87412 100000\n77084 100000\n57808 86715\n15308 23056\n80241 100000\n16895 25444\n12556 18890\n78909 100000\n50714 76136\n35821 53876\n63053 94563\n1140 1702\n43923 66013\n63073 94594\n33475 50397\n82913 100000\n47742 71705\n22824 34382\n27510 41429\n41360 62210\n24821 37420\n48954 73503\n82343 100000\n52244 78426\n58186 87280\n29778 44851\n71184 100000\n42935 64542\n50728 76156\n98827 100000\n28744 43282\n70726 100000\n68013 100000\n97840 100000\n85946 100000\n18344 27645\n39826 59914\n5448 8179\n12529 18848\n54556 81855\n60942 91430\n85839 100000\n31147 46906\n93398 100000\n25373 38239\n36342 54663\n43875 65937\n89363 100000\n50407 75669\n30823 46418\n58604 87892\n25123 37866\n35488 53382\n11618 17480\n96140 100000\n49715 74651\n90450 100000\n67884 100000\n29318 44151\n7498 11273\n32733 49280\n35322 53132\n42328 63642\n35273 53061\n79149 100000\n75897 100000\n17985 27096\n39975 60129\n56446 84678\n12881 19399\n39776 59840\n35278 53067\n98882 100000\n97408 100000\n67510 100000\n63532 95288\n55763 83667\n75863 100000\n93724 100000\n68068 100000\n29722 44768\n28318 42641\n79973 100000\n29422 44304\n31164 46932\n21727 32746\n80486 100000\n32684 49210\n89893 100000\n39399 59276\n67816 100000\n84213 100000\n26182 39448\n77064 100000\n51680 77579\n12089 18184\n92104 100000\n62297 93453\n11227 16891\n34339 51690\n20339 30624\n40870 61471\n64492 96730\n87940 100000\n8515 12784\n62401 93604\n24616 37094\n27499 41413\n1875 2827\n62739 94098\n27824 41896\n65244 97858\n10663 16035\n51905 77919\n61840 92773\n86873 100000\n23370 35221\n99331 100000\n89859 100000\n84156 100000\n77463 100000\n87667 100000\n40863 61459\n15640 23565\n89367 100000\n36501 54900\n52398 78660\n8428 12648\n13543 20389\n55757 83658\n21935 33071\n66547 99814\n85840 100000\n27264 41063\n53364 80105\n1320 1976\n65277 97906\n60476 90735\n86019 100000\n58622 87921\n96897 100000\n10361 15585\n19874 29932\n95366 100000\n29968 45145\n78169 100000\n26522 39956\n12301 18506\n61257 91909\n46632 70050\n8565 12857\n6747 10128\n66791 100000\n77890 100000\n78403 100000\n56627 84949\n85337 100000\n79763 100000\n54628 81961\n2048 3094\n69037 100000\n39027 58711\n57862 86794\n39213 58990\n52123 78244\n97555 100000\n85763 100000\n14074 21196\n85453 100000\n28851 43444\n24551 36992\n44709 67198\n46066 69199\n95165 100000\n92103 100000\n90357 100000\n95449 100000\n657 984\n91599 100000\n4315 6506\n97976 100000\n51171 76813\n16044 24176\n36925 55533\n85766 100000\n32554 49025\n25007 37690\n1872 2823\n27200 40967\n95653 100000\n64192 96278\n19281 29048\n10712 16114\n11657 17542\n14985 22568\n37914 57030\n12532 18852\n30409 45806\n51125 76739\n27827 41900\n57276 85928\n66111 99158\n95800 100000\n61051 91596\n25759 38836\n65515 98277\n52271 78467\n35459 53342\n46072 69208\n88853 100000\n87332 100000\n2418 3653\n26374 39735\n63713 95573\n25131 37877\n99457 100000\n35385 53226\n54715 82085\n65216 97821\n87082 100000\n36095 54286\n29195 43968\n32458 48873\n30254 45586\n65694 98534\n77441 100000\n89290 100000\n97244 100000\n4664 7033\n42478 63870\n63301 94943\n72879 100000\n31157 46920\n14734 22178\n4482 6757\n89175 100000\n23721 35753\n80710 100000\n12813 19298\n21472 32372\n78881 100000\n62241 93371\n1077 1609\n9061 13614\n6430 9654\n43724 65713\n61499 92268\n722 1081\n27816 41886\n64540 96801\n24666 37167\n99174 100000\n28533 42953\n45794 68794\n72834 100000\n77208 100000\n44557 66963\n25934 39095\n36629 55099\n38278 57593\n65311 97957\n23708 35734\n9262 13918\n41566 62511\n82899 100000\n86673 100000\n78719 100000\n83644 100000\n16233 24461\n50715 76138\n91239 100000\n51395 77139\n86863 100000\n68639 100000\n37971 57117\n52908 79427\n48710 73138\n15162 22834\n24979 37652\n46816 70321\n75100 100000\n36630 55100\n96222 100000\n9616 14457\n21222 31984\n71009 100000\n7010 10523\n21335 32166\n10307 15503\n27829 41903\n84220 100000\n62418 93629\n72311 100000\n66090 99127\n96822 100000\n88318 100000\n61650 92493\n98595 100000\n44102 66278\n64369 96545\n97779 100000\n44134 66326\n56962 85452\n8762 13159\n32344 48711\n58947 88427\n20334 30616\n65366 98041\n9835 14786\n56253 84398\n88053 100000\n36775 55313\n70501 100000\n12650 19038\n98306 100000\n58308 87461\n83580 100000\n80861 100000\n68172 100000\n83984 100000\n50721 76148\n14702 22131\n47794 71788\n7439 11182\n52917 79439\n38214 57496\n97486 100000\n36868 55449\n94359 100000\n42212 63471\n19177 28890\n87126 100000\n73827 100000\n28275 42574\n62712 94061\n70853 100000\n69293 100000\n46820 70328\n65589 98380\n82079 100000\n60589 90906\n45435 68272\n314 452\n8156 12257\n25987 39163\n65619 98427\n81105 100000\n87065 100000\n49289 74008\n40049 60242\n60455 90703\n95229 100000\n80465 100000\n79193 100000\n49649 74556\n78428 100000\n88831 100000\n96978 100000\n94637 100000\n80807 100000\n79489 100000\n55439 83194\n16054 24190\n23289 35095\n19024 28657\n75146 100000\n22178 33430\n39228 59011\n64406 96602\n12252 18433\n4069 6140\n51667 77558\n93523 100000\n1745 2630\n48094 72227\n98127 100000\n8979 13491\n27871 41966\n39119 58852\n6861 10301\n79665 100000\n40958 61599\n76264 100000\n93107 100000\n45608 68521\n68087 100000\n96064 100000\n39591 59563\n28969 43624\n8367 12559\n72018 100000\n30255 45587\n54013 81047\n69499 100000\n6654 9987\n82288 100000\n80966 100000\n21982 33144\n47154 70844\n33290 50130\n88112 100000\n31129 46876\n97032 100000\n85153 100000\n69410 100000\n94056 100000\n21695 32702\n11234 16901\n49639 74541\n3924 5920\n69002 100000\n58315 87469\n90755 100000\n58571 87843\n24249 36545\n11683 17582\n4986 7510\n79668 100000\n47223 70940\n99336 100000\n1681 2529\n86622 100000\n24912 37558\n62145 93228\n28303 42617\n8785 13195\n78620 100000\n7949 11944\n62803 94193\n14035 21138\n61683 92542\n1423 2136\n40054 60250\n80351 100000\n31888 48027\n5303 7969\n85319 100000\n23125 34852\n92699 100000\n28034 42202\n5169 7775\n27148 40885\n28483 42885\n36756 55283\n51810 77781\n84686 100000\n9021 13555\n65340 97998\n26014 39200\n58955 88440\n892 1334\n22083 33293\n66694 100000\n15103 22743\n43224 64973\n66237 99355\n20357 30651\n36292 54585\n91346 100000\n93235 100000\n53032 79615\n74983 100000\n51132 76751\n58905 88361\n82708 100000\n75986 100000\n45000 67629\n6566 9855\n50992 76545\n89010 100000\n89318 100000\n18228 27467\n42770 64294\n30974 46643\n19186 28902\n11490 17292\n91303 100000\n17622 26554\n68259 100000\n62134 93209\n49267 73980\n94023 100000\n33819 50921\n90104 100000\n34776 52325\n85580 100000\n50499 75807\n19340 29136\n46591 69990\n43961 66071\n40734 61265\n94482 100000\n99799 100000\n10295 15485\n53158 79806\n26128 39370\n6057 9096\n14732 22174\n98916 100000\n66430 99641\n54973 82479\n21666 32664\n5893 8857\n32238 48552\n78466 100000\n90957 100000\n4382 6607\n31027 46720\n10819 16273\n77964 100000\n92316 100000\n8371 12565\n6554 9836\n56088 84151\n25911 39061\n89386 100000\n87524 100000\n1327 1988\n94642 100000\n73458 100000\n99776 100000\n70544 100000\n75764 100000\n45216 67957\n92804 100000\n82107 100000\n19518 29399\n68143 100000\n99518 100000\n71893 100000\n63247 94860\n45901 68949\n32922 49573\n15087 22719\n60296 90460\n22578 34015\n18131 27313\n49681 74603\n30142 45415\n58698 88035\n48389 72663\n23851 35951\n67469 100000\n19697 29666\n91455 100000\n60337 90527\n51151 76781\n78295 100000\n64579 96860\n99082 100000\n25318 38155\n24955 37618\n36276 54559\n4127 6226\n42077 63274\n14759 22217\n31072 46786\n17802 26822\n25440 38345\n8287 12446\n43026 64677\n57506 86262\n79529 100000\n37719 56726\n30617 46119\n82715 100000\n56903 85362\n87672 100000\n39919 60044\n61219 91852\n76465 100000\n4870 7343\n41074 61782\n91589 100000\n68234 100000\n61123 91709\n22844 34415\n53473 80257\n31506 47454\n31270 47092\n10272 15453\n31148 46908\n26259 39560\n10606 15944\n63995 95987\n12957 19515\n1376 2067\n25351 38205\n42111 63324\n71081 100000\n50760 76203\n32648 49161\n82808 100000\n91858 100000\n7637 11474\n9525 14318\n7753 11649\n91267 100000\n44823 67369\n15439 23260\n1653 2488\n48595 72965\n12998 19579\n84978 100000\n60990 91506\n83374 100000\n88152 100000\n2031 3070\n44060 66218\n31507 47455\n49218 73908\n14328 21561\n80064 100000\n41722 62744\n66607 99904\n81823 100000\n71178 100000\n4509 6797\n83296 100000\n45451 68295\n23503 35423\n78559 100000\n5759 8647\n62778 94156\n96194 100000\n2980 4508\n4531 6831\n47583 71475\n47580 71471\n65495 98247\n93607 100000\n52497 78805\n34496 51916\n64392 96581\n31444 47357\n6520 9791\n70492 100000\n70696 100000\n48061 72182\n6458 9702\n2172 3288\n99563 100000\n6403 9611\n50037 75116\n69837 100000\n46229 69444\n57323 86003\n57388 86096\n37434 56297\n62152 93239\n95699 100000\n16894 25442\n56605 84915\n29279 44094\n43222 64971\n88652 100000\n15233 22940\n42645 64119\n19718 29700\n97112 100000\n26464 39875\n72027 100000\n35400 53251\n39123 58859\n1431 2149\n66717 100000\n3785 5710\n13845 20847\n25567 38533\n33102 49856\n98432 100000\n66323 99484\n6587 9884\n19034 28670\n96678 100000\n77141 100000\n82872 100000\n71531 100000\n50692 76101\n90277 100000\n78640 100000\n60248 90395\n59521 89294\n50039 75119\n59334 89009\n13019 19609\n31004 46687\n99830 100000\n50251 75443\n63761 95642\n90324 100000\n24633 37121\n52867 79360\n99669 100000\n12505 18813\n21677 32678\n55924 83903\n26768 40322\n55169 82779\n13746 20696\n60267 90419\n39917 60042\n27895 42004\n88588 100000\n23693 35713\n33225 50030\n43038 64695\n87149 100000\n14767 22228\n89482 100000\n25940 39102\n6595 9896\n6134 9210\n38170 57430\n21795 32853\n99951 100000\n54652 81993\n87144 100000\n38854 58458\n95622 100000\n90010 100000\n69850 100000\n35480 53372\n63233 94837\n66399 99593\n83606 100000\n63067 94585\n24293 36613\n92151 100000\n48723 73158\n1385 2080\n98332 100000\n3923 5918\n99260 100000\n13106 19742\n43148 64859\n47475 71318\n91249 100000\n52250 78436\n54033 81077\n80974 100000\n26266 39569\n39786 59856\n80131 100000\n5948 8942\n3969 5991\n51972 78020\n60593 90912\n79383 100000\n42007 63170\n93559 100000\n75450 100000\n94427 100000\n26857 40459\n83915 100000\n67795 100000\n37196 55943\n42163 63399\n26414 39796\n64606 96898\n72942 100000\n82619 100000\n68912 100000\n78972 100000\n22890 34484\n66457 99681\n76336 100000\n12577 18920\n76592 100000\n75303 100000\n26318 39648\n69580 100000\n93738 100000\n24690 37209\n25781 38868\n99472 100000\n44406 66739\n90280 100000\n71530 100000\n92756 100000\n37686 56673\n94158 100000\n62805 94195\n53209 79877\n30743 46312\n39038 58728\n55153 82755\n86952 100000\n56912 85375\n97057 100000\n60832 91274\n97158 100000\n90623 100000\n30990 46667\n32496 48935\n8131 12215\n66637 99945\n76514 100000\n65936 98892\n68705 100000\n96275 100000\n81009 100000\n98854 100000\n7862 11812\n65642 98461\n48243 72447\n97292 100000\n29184 43950\n28823 43402\n87839 100000\n98906 100000\n12453 18732\n69733 100000\n71112 100000\n59631 89456\n73975 100000\n9587 14414\n75114 100000\n69027 100000\n41301 62124\n74610 100000\n23220 34995\n81943 100000\n34050 51257\n53817 80762\n12687 19095\n66145 99215\n84863 100000\n5257 7901\n61889 92846\n32955 49626\n34098 51333\n57272 85922\n34330 51677\n94446 100000\n89167 100000\n21618 32592\n49114 73741\n52067 78155\n93573 100000\n80512 100000\n21342 32180\n8735 13121\n68982 100000\n50334 75567\n91145 100000\n22827 34387\n58494 87729\n62636 93948\n80819 100000\n1275 1913\n78204 100000\n49425 74218\n38620 58096\n29895 45027\n31814 47912\n34147 51399\n80676 100000\n46640 70061\n70189 100000\n87599 100000\n31579 47562\n58326 87488\n63110 94650\n6713 10077\n21120 31829\n60443 90684\n58486 87716\n94021 100000\n13094 19723\n39195 58967\n50470 75766\n95783 100000\n78487 100000\n39938 60072\n2455 3710\n66546 99812\n74444 100000\n3940 5945\n93555 100000\n8983 13497\n96992 100000\n42076 63273\n92360 100000\n17789 26802\n71062 100000\n43697 65676\n27934 42058\n42258 63538\n6472 9720\n83685 100000\n39379 59250\n83335 100000\n3459 5231\n51402 77149\n18829 28374\n78056 100000\n38175 57437\n51221 76884\n73874 100000\n7899 11870\n77250 100000\n17441 26277\n72599 100000\n1271 1905\n28647 43129\n82383 100000\n21458 32350\n93500 100000\n46863 70394\n35733 53745\n9553 14363\n5653 8486\n47394 71194\n11570 17411\n73906 100000\n56845 85273\n38576 58036\n40722 61245\n68811 100000\n20848 31417\n86928 100000\n24525 36955\n51853 77846\n71145 100000\n78186 100000\n22356 33692\n91573 100000\n79969 100000\n80609 100000\n35222 52988\n49081 73693\n47788 71777\n32066 48291\n32776 49348\n67177 100000\n97437 100000\n72800 100000\n93152 100000\n49058 73659\n38735 58267\n36080 54263\n32316 48669\n30715 46268\n31387 47271\n30051 45270\n89622 100000\n84024 100000\n33232 50042\n75195 100000\n44859 67421\n87444 100000\n47712 71663\n55390 83120\n73646 100000\n61706 92574\n18903 28481\n29025 43709\n22919 34531\n11359 17095\n7535 11322\n89459 100000\n17781 26789\n35879 53961\n57915 86877\n14893 22425\n37114 55819\n42271 63556\n89697 100000\n12856 19356\n88783 100000\n77381 100000\n59599 89411\n83142 100000\n3418 5169\n28518 42933\n46924 70485\n73678 100000\n98735 100000\n68309 100000\n98992 100000\n69728 100000\n83255 100000\n60730 91126\n33584 50562\n4126 6224\n62414 93624\n5605 8415\n26962 40615\n40898 61512\n65784 98656\n12219 18384\n47152 70840\n25841 38957\n8969 13477\n570 847\n85061 100000\n40676 61174\n9465 14228\n90857 100000\n12901 19428\n2384 3604\n52028 78101\n50807 76275\n74039 100000\n59041 88575\n34843 52424\n97318 100000\n93275 100000\n19946 30042\n5046 7594\n39304 59131\n58387 87574\n82427 100000\n14965 22538\n82359 100000\n49201 73880\n14739 22185\n20223 30453\n91066 100000\n95493 100000\n82560 100000\n28020 42177\n37608 56556\n14293 21511\n5987 8997\n33602 50588\n56747 85131\n84393 100000\n55517 83310\n493 728\n16581 24971\n18548 27959\n61377 92088\n8757 13152\n40189 60446\n26061 39268\n52163 78306\n73182 100000\n7936 11923\n92972 100000\n38279 57595\n58415 87613\n34562 52010\n8342 12525\n76237 100000\n2521 3815\n16340 24621\n96061 100000\n98292 100000\n41815 62884\n60482 90745\n76914 100000\n22670 34152\n86335 100000\n34130 51378\n12112 18219\n32640 49151\n6273 9422\n99715 100000\n33814 50912\n41949 63083\n30616 46118\n34346 51699\n26504 39933\n47934 71991\n7119 10689\n4252 6411\n8479 12731\n43682 65655\n16053 24188\n31582 47565\n76588 100000\n63907 95858\n58885 88333\n53790 80719\n72956 100000\n13365 20128\n31629 47635\n70565 100000\n34805 52368\n68642 100000\n82407 100000\n64299 96438\n10031 15091\n66930 100000\n34002 51188\n17563 26460\n50542 75876\n12875 19387\n6597 9898\n94103 100000\n9863 14827\n52945 79480\n50895 76408\n31257 47070\n51718 77636\n97732 100000\n93733 100000\n52838 79315\n74841 100000\n58193 87290\n1424 2138\n48650 73048\n41624 62598\n41992 63148\n54406 81629\n85860 100000\n76339 100000\n9231 13869\n31514 47464\n42263 63545\n28263 42559\n9303 13976\n99461 100000\n45036 67683\n12618 18986\n16040 24170\n70085 100000\n38633 58115\n31752 47818\n33443 50352\n6189 9294\n66081 99110\n32425 48824\n87772 100000\n94504 100000\n29099 43821\n45706 68663\n22390 33740\n63549 95317\n73665 100000\n19796 29807\n11358 17093\n42395 63743\n48369 72635\n96025 100000\n77242 100000\n90319 100000\n4701 7087\n85492 100000\n95514 100000\n86401 100000\n12172 18315\n74961 100000\n42222 63485\n12681 19086\n60364 90566\n6622 9935\n59 84\n96740 100000\n53695 80582\n4051 6113\n21746 32775\n29262 44064\n74325 100000\n70962 100000\n55179 82793\n14650 22059\n28674 43173\n39247 59042\n30788 46372\n85371 100000\n86108 100000\n38816 58397\n45278 68044\n31178 46956\n82420 100000\n88715 100000\n51692 77596\n45817 68828\n63343 95003\n32862 49476\n69512 100000\n80645 100000\n43494 65379\n73482 100000\n20145 30335\n22298 33609\n99320 100000\n45001 67630\n28189 42447\n49187 73857\n19297 29075\n42283 63576\n21947 33091\n79818 100000\n95566 100000\n53024 79604\n25126 37871\n3402 5145\n68435 100000\n51935 77962\n92130 100000\n31197 46984\n22608 34058\n2894 4390\n63550 95318\n474 697\n29916 45059\n23902 36028\n92427 100000\n27728 41756\n37755 56785\n99256 100000\n37871 56965\n51943 77972\n25153 37906\n89083 100000\n83107 100000\n73620 100000\n43549 65466\n14601 21982\n17161 25857\n8445 12674\n39603 59579\n82820 100000\n87081 100000\n52914 79436\n17362 26155\n1482 2226\n10523 15824\n21256 32038\n207 299\n4699 7085\n98653 100000\n96044 100000\n10973 16518\n19610 29537\n43308 65108\n8513 12782\n9221 13854\n84157 100000\n94963 100000\n42416 63775\n84214 100000\n1110 1651\n76343 100000\n55689 83565\n33896 51035\n25226 38016\n56362 84553\n36234 54492\n90520 100000\n45069 67732\n74948 100000\n27538 41472\n8386 12587\n12627 18999\n74503 100000\n30610 46111\n59742 89622\n75258 100000\n29935 45090\n21728 32747\n9413 14147\n67523 100000\n88349 100000\n32787 49365\n26734 40272\n67004 100000\n12353 18579\n74399 100000\n325 468\n75053 100000\n73311 100000\n20542 30934\n47978 72062\n41650 62635\n17138 25821\n46714 70174\n73676 100000\n92717 100000\n14387 21651\n72233 100000\n91722 100000\n54226 81359\n96920 100000\n44934 67527\n21690 32696\n93925 100000\n1680 2527\n72439 100000\n69461 100000\n95253 100000\n82510 100000\n74966 100000\n90415 100000\n48778 73241\n52024 78094\n82605 100000\n16368 24662\n29105 43829\n8306 12471\n7834 11767\n77644 100000\n27648 41633\n15523 23385\n41850 62935\n16775 25261\n64602 96893\n2950 4462\n4358 6571\n36033 54188\n60986 91501\n25560 38524\n14305 21529\n80500 100000\n40048 60240\n93153 100000\n23094 34805\n93790 100000\n18052 27196\n22523 33937\n79196 100000\n30565 46041\n60042 90079\n44233 66473\n80457 100000\n9327 14016\n16833 25343\n66002 98991\n99069 100000\n27644 41625\n70556 100000\n97037 100000\n28652 43136\n84093 100000\n42075 63272\n51733 77662\n26324 39656\n5282 7938\n61853 92791\n79844 100000\n49920 74948\n47477 71321\n72957 100000\n51316 77020\n92419 100000\n66566 99842\n16009 24122\n74018 100000\n55383 83111\n11626 17491\n91717 100000\n32745 49297\n69254 100000\n69906 100000\n45526 68403\n44251 66501\n46281 69528\n82591 100000\n25792 38887\n48382 72653\n92180 100000\n2651 4006\n96288 100000\n4575 6903\n76140 100000\n4362 6577\n67873 100000\n79088 100000\n17296 26063\n23676 35688\n80818 100000\n26631 40117\n5527 8294\n73454 100000\n29972 45152\n1853 2798\n97134 100000\n87032 100000\n36666 55150\n88950 100000\n97754 100000\n55773 83681\n99643 100000\n33964 51136\n88405 100000\n24667 37169\n7133 10712\n76490 100000\n58454 87667\n27415 41281\n89676 100000\n19061 28708\n5342 8024\n83902 100000\n73937 100000\n90403 100000\n85702 100000\n34192 51469\n958 1430\n35780 53815\n66857 100000\n14595 21972\n63916 95871\n52927 79450\n34439 51833\n62724 94076\n70091 100000\n77163 100000\n14462 21769\n50198 75368\n16114 24287\n19825 29848\n31250 47060\n86231 100000\n24366 36723\n16991 25594\n96697 100000\n55684 83556\n96971 100000\n40387 60745\n73481 100000\n18674 28149\n4151 6264\n88270 100000\n823 1233\n59833 89770\n43790 65814\n30171 45458\n63064 94580\n95518 100000\n95375 100000\n387 568\n75106 100000\n17351 26141\n63033 94529\n53368 80110\n146 212\n3242 4905\n69132 100000\n19464 29318\n54729 82103\n50719 76144\n59965 89964\n63571 95352\n28907 43527\n17971 27075\n40674 61172\n50543 75878\n82620 100000\n47633 71547\n64560 96831\n67583 100000\n95297 100000\n27995 42140\n89643 100000\n17741 26736\n78394 100000\n27877 41974\n2462 3721\n74088 100000\n2145 3246\n10138 15250\n82559 100000\n68262 100000\n30859 46469\n95154 100000\n48512 72851\n22116 33343\n43097 64788\n35312 53118\n59149 88732\n93493 100000\n91293 100000\n84380 100000\n49598 74487\n98030 100000\n67682 100000\n13128 19776\n20508 30883\n77957 100000\n57911 86872\n44117 66302\n93091 100000\n2998 4537\n11761 17693\n8687 13045\n34222 51511\n16551 24929\n10706 16103\n30408 45805\n9181 13795\n90780 100000\n45671 68612\n65931 98885\n10744 16158\n24102 36330\n64143 96207\n85357 100000\n85792 100000\n64538 96799\n44712 67202\n74126 100000\n75566 100000\n70244 100000\n48580 72946\n81025 100000\n7939 11928\n46400 69709\n81670 100000\n52610 78981\n62110 93172\n25203 37980\n79611 100000\n62379 93570\n98015 100000\n34029 51229\n26706 40229\n46056 69183\n53878 80849\n99323 100000\n3794 5721\n55772 83679\n55323 83016\n80713 100000\n38733 58265\n12268 18456\n14928 22481\n17204 25928\n40174 60426\n52759 79197\n93192 100000\n56009 84035\n81149 100000\n59412 89130\n53904 80888\n30293 45639\n73017 100000\n17631 26568\n73621 100000\n19866 29918\n11026 16593\n46308 69571\n26766 40319\n60269 90423\n93644 100000\n79521 100000\n71698 100000\n3780 5704\n31427 47332\n8991 13507\n31493 47433\n18502 27885\n29993 45183\n54432 81667\n18289 27561\n17561 26457\n63202 94792\n84816 100000\n71649 100000\n20195 30413\n23427 35303\n56632 84956\n49283 74001\n21552 32493\n9048 13593\n10190 15330\n1415 2124\n61613 92433\n13552 20404\n5158 7762\n26208 39484\n42435 63806\n83426 100000\n63482 95211\n68150 100000\n30951 46607\n27211 40984\n77093 100000\n74606 100000\n83510 100000\n81127 100000\n50164 75318\n20347 30637\n52974 79524\n66603 99898\n45446 68287\n21838 32922\n56165 84270\n66407 99604\n4299 6479\n9859 14821\n58863 88301\n51813 77786\n25875 39009\n40876 61480\n32977 49660\n75528 100000\n43422 65276\n1802 2719\n10293 15482\n17341 26126\n19627 29560\n22750 34274\n80224 100000\n19906 29981\n42560 63990\n1775 2678\n12465 18750\n46231 69448\n51794 77753\n5134 7724\n54578 81889\n67135 100000\n62146 93230\n76257 100000\n94978 100000\n87830 100000\n54680 82035\n52478 78778\n41855 62944\n53933 80929\n12138 18262\n547 810\n23716 35747\n90057 100000\n80726 100000\n93803 100000\n83998 100000\n55412 83155\n85158 100000\n29661 44673\n40773 61325\n72877 100000\n40357 60698\n85965 100000\n77903 100000\n8470 12717\n30186 45482\n38236 57528\n28657 43144\n2672 4039\n88708 100000\n47778 71762\n3784 5709\n3467 5242\n30235 45556\n76295 100000\n28116 42334\n14584 21955\n82985 100000\n43804 65836\n28212 42479\n77384 100000\n68651 100000\n84131 100000\n80719 100000\n96274 100000\n97365 100000\n59435 89162\n36341 54661\n58730 88092\n55592 83425\n28050 42229\n52513 78829\n39884 59999\n14956 22526\n19139 28830\n61005 91530\n48590 72958\n48988 73557\n39502 59428\n54684 82040\n28958 43605\n46696 70145\n70227 100000\n76038 100000\n4976 7495\n9378 14093\n12259 18442\n78468 100000\n96714 100000\n66440 99655\n40202 60463\n81782 100000\n88151 100000\n44165 66375\n25160 37916\n53197 79862\n24693 37214\n75286 100000\n47036 70665\n18706 28196\n70345 100000\n23991 36163\n38734 58266\n51536 77357\n92946 100000\n41156 61909\n39217 58995\n68837 100000\n42779 64308\n87784 100000\n65685 98521\n69106 100000\n56656 84992\n59897 89865\n88249 100000\n9541 14344\n50382 75634\n8195 12314\n4931 7435\n57455 86193\n96828 100000\n82906 100000\n27178 40933\n92900 100000\n45962 69043\n22594 34037\n56282 84435\n33545 50500\n63250 94864\n22678 34164\n95659 100000\n36377 54715\n43685 65660\n42446 63823\n53827 80775\n20545 30937\n13941 20993\n97590 100000\n22168 33415\n99218 100000\n4572 6897\n25159 37915\n18575 28000\n51966 78009\n58388 87575\n98111 100000\n44690 67168\n6649 9980\n15825 23848\n64981 97457\n2122 3211\n42400 63750\n75787 100000\n13414 20203\n56929 85404\n48076 72203\n46759 70241\n37849 56932\n34054 51263\n11478 17276\n87114 100000\n19014 28644\n812 1216\n4227 6375\n26049 39251\n66853 100000\n64001 95997\n38512 57938\n31293 47130\n34993 52642\n16212 24428\n12977 19546\n62165 93258\n23426 35302\n41095 61811\n67341 100000\n78450 100000\n59632 89458\n80279 100000\n36389 54733\n74778 100000\n95579 100000\n78830 100000\n47900 71945\n64193 96280\n19002 28624\n56518 84785\n64962 97430\n79351 100000\n74418 100000\n38828 58415\n48266 72480\n73518 100000\n45272 68036\n32228 48540\n58062 87099\n72904 100000\n79497 100000\n46603 70008\n48761 73217\n72848 100000\n637 956\n46648 70072\n16780 25269\n16329 24605\n62988 94461\n75541 100000\n20208 30432\n4761 7180\n62938 94388\n65557 98334\n45532 68410\n30845 46450\n75407 100000\n86169 100000\n10925 16439\n51153 76783\n34730 52260\n31848 47965\n63009 94491\n33065 49796\n38357 57712\n93832 100000\n91413 100000\n41154 61906\n49375 74142\n16954 25535\n96247 100000\n82038 100000\n76728 100000\n64781 97166\n24612 37089\n25202 37978\n93115 100000\n71189 100000\n75783 100000\n66540 99805\n64128 96186\n4962 7478\n63799 95702\n11965 17997\n61580 92383\n56065 84118\n20336 30620\n46998 70603\n25701 38747\n57873 86812\n29034 43723\n10405 15655\n73035 100000\n68326 100000\n85459 100000\n23081 34784\n60627 90966\n8201 12320\n44308 66586\n90493 100000\n7297 10959\n25501 38436\n31265 47084\n77026 100000\n9667 14530\n3073 4648\n26194 39467\n66261 99389\n7889 11854\n80781 100000\n43174 64897\n42884 64466\n70272 100000\n49302 74029\n64748 97112\n99831 100000\n22465 33853\n92561 100000\n53047 79635\n70153 100000\n49031 73617\n66335 99500\n40627 61105\n88755 100000\n82063 100000\n83010 100000\n36980 55619\n42131 63354\n91848 100000\n78958 100000\n12457 18739\n58012 87022\n32962 49636\n98023 100000\n92802 100000\n32424 48823\n1362 2043\n24040 36240\n85025 100000\n29764 44835\n44824 67370\n5500 8255\n50996 76552\n77996 100000\n30792 46377\n62429 93645\n46389 69693\n86158 100000\n60050 90090\n42714 64218\n29915 45058\n86225 100000\n24928 37581\n15961 24049\n21945 33087\n64004 96001\n55449 83210\n26705 40228\n2142 3241\n18766 28280\n15283 23017\n23734 35775\n96827 100000\n80879 100000\n92192 100000\n86285 100000\n50429 75705\n28231 42507\n39733 59775\n56413 84632\n28675 43174\n82257 100000\n51127 76742\n60520 90800\n38663 58160\n2412 3644\n813 1218\n70307 100000\n12472 18760\n89764 100000\n78762 100000\n32446 48856\n90784 100000\n98568 100000\n14845 22347\n32609 49105\n23692 35711\n75545 100000\n75127 100000\n9245 13891\n71378 100000\n37443 56309\n14460 21766\n54263 81413\n39450 59347\n75057 100000\n79747 100000\n33893 51032\n38527 57965\n91500 100000\n49947 74986\n4288 6463\n3288 4976\n98550 100000\n50406 75668\n23246 35031\n56774 85168\n43404 65252\n64613 96909\n50020 75091\n47347 71125\n8720 13095\n37725 56734\n45014 67649\n78094 100000\n35168 52908\n93714 100000\n85239 100000\n36797 55344\n7666 11519\n89218 100000\n46919 70477\n94138 100000\n52231 78407\n70911 100000\n55900 83869\n18182 27395\n6955 10442\n25930 39090\n46139 69310\n63664 95501\n65839 98742\n87509 100000\n54086 81150\n16804 25304\n30247 45576\n48013 72113\n34587 52046\n65618 98425\n73456 100000\n63601 95402\n56259 84406\n67668 100000\n17006 25617\n58785 88181\n93929 100000\n60867 91323\n39544 59487\n18296 27572\n61241 91884\n96821 100000\n62815 94211\n76212 100000\n3255 4925\n78711 100000\n98110 100000\n84703 100000\n93095 100000\n59860 89810\n55200 82826\n87218 100000\n22377 33724\n37779 56821\n8218 12345\n52916 79438\n93122 100000\n74217 100000\n4442 6697\n1930 2911\n85672 100000\n8331 12510\n18978 28588\n40745 61284\n33605 50593\n83650 100000\n4203 6340\n49795 74768\n84992 100000\n21716 32731\n42486 63882\n4808 7251\n49925 74954\n25376 38243\n40670 61167\n40566 61015\n35325 53138\n83951 100000\n64413 96613\n93459 100000\n42488 63885\n2515 3805\n6369 9562\n10961 16499\n1953 2949\n28678 43178\n90359 100000\n46470 69809\n40440 60821\n97953 100000\n81507 100000\n75790 100000\n96171 100000\n47283 71029\n55287 82960\n93964 100000\n80085 100000\n33650 50662\n14173 21340\n6200 9314\n84313 100000\n65560 98339\n82814 100000\n36378 54717\n35915 54017\n11499 17305\n84862 100000\n26561 40016\n45153 67861\n53654 80521\n96091 100000\n58918 88381\n47634 71548\n60226 90360\n26656 40156\n16820 25325\n10835 16297\n26583 40048\n77741 100000\n91141 100000\n43295 65087\n63876 95817\n72488 100000\n26834 40423\n54303 81472\n16495 24846\n93753 100000\n47670 71602\n39587 59556\n78106 100000\n86920 100000\n85451 100000\n45379 68193\n42097 63303\n89393 100000\n84185 100000\n88791 100000\n64205 96301\n57549 86325\n81483 100000\n33938 51099\n60656 91006\n96165 100000\n99718 100000\n36808 55361\n28350 42683\n57634 86445\n428 632\n68081 100000\n93977 100000\n50252 75445\n3727 5627\n84143 100000\n52686 79089\n60672 91029\n20248 30489\n15208 22900\n48294 72524\n52948 79486\n96205 100000\n98370 100000\n15187 22872\n79856 100000\n28745 43284\n51899 77911\n79525 100000\n83929 100000\n62374 93564\n1843 2780\n58025 87042\n32653 49167\n85114 100000\n13028 19621\n8053 12099\n95738 100000\n23641 35633\n62677 94012\n91834 100000\n69078 100000\n20331 30611\n80282 100000\n27938 42064\n35951 54070\n49019 73596\n28152 42393\n18759 28269\n88010 100000\n87200 100000\n1938 2924\n64179 96260\n58524 87772\n47443 71266\n40222 60491\n32545 49010\n75934 100000\n47846 71864\n73485 100000\n46670 70104\n1375 2066\n12868 19376\n83434 100000\n12332 18548\n25594 38576\n78529 100000\n52219 78393\n31332 47188\n22524 33938\n76002 100000\n37668 56644\n82527 100000\n88117 100000\n79429 100000\n94909 100000\n99547 100000\n22889 34483\n8257 12400\n69001 100000\n97856 100000\n16022 24142\n36568 55005\n62071 93114\n1325 1984\n20934 31542\n78795 100000\n73965 100000\n60907 91383\n77156 100000\n34251 51557\n28897 43514\n80398 100000\n95544 100000\n20030 30169\n53666 80537\n61442 92184\n13628 20516\n95636 100000\n34716 52238\n70466 100000\n81110 100000\n70596 100000\n48385 72656\n2628 3975\n5519 8284\n36442 54812\n90342 100000\n27681 41685\n74330 100000\n64469 96693\n3998 6031\n93202 100000\n78782 100000\n67585 100000\n27909 42025\n36359 54688\n21882 32990\n88958 100000\n83086 100000\n53119 79745\n2263 3427\n56044 84084\n75739 100000\n81865 100000\n49436 74234\n45810 68819\n26368 39724\n27913 42029\n77841 100000\n10212 15364\n33370 50241\n18014 27140\n43603 65543\n41827 62902\n50063 75159\n92069 100000\n49025 73607\n39219 58997\n79706 100000\n30266 45603\n20286 30547\n41859 62950\n56948 85432\n80143 100000\n49688 74611\n80219 100000\n78231 100000\n31813 47911\n67641 100000\n42958 64575\n96602 100000\n95598 100000\n19275 29037\n41539 62476\n78001 100000\n748 1123\n39210 58986\n57176 85774\n75354 100000\n26094 39318\n39151 58900\n61549 92338\n26188 39458\n58645 87954\n57056 85594\n14844 22346\n79074 100000\n44318 66600\n11170 16806\n17513 26385\n69920 100000\n60584 90897\n15489 23336\n54118 81194\n68844 100000\n24149 36397\n290 418\n74258 100000\n53990 81017\n87216 100000\n86620 100000\n60534 90823\n22618 34074\n87387 100000\n42045 63225\n97224 100000\n41012 61685\n36672 55160\n68000 100000\n11110 16724\n13042 19642\n70870 100000\n89447 100000\n48378 72648\n14240 21435\n55230 82871\n74189 100000\n28923 43552\n22027 33209\n69503 100000\n4877 7352\n97559 100000\n47478 71322\n5976 8981\n70283 100000\n24696 37219\n49075 73685\n23767 35823\n88944 100000\n72418 100000\n4518 6810\n64126 96182\n2211 3349\n44492 66864\n86782 100000\n17776 26783\n9979 15008\n74993 100000\n23327 35155\n78000 100000\n42671 64156\n6157 9244\n71796 100000\n51482 77270\n77053 100000\n35786 53825\n99626 100000\n57785 86682\n35467 53353\n70328 100000\n30200 45503\n20923 31527\n8553 12840\n73638 100000\n97337 100000\n52886 79391\n57812 86719\n43599 65538\n28132 42361\n83765 100000\n2220 3362\n37560 56486\n34610 52083\n68236 100000\n37135 55852\n74380 100000\n84482 100000\n87047 100000\n32249 48568\n7571 11376\n98082 100000\n42739 64254\n96471 100000\n4371 6590\n86436 100000\n5839 8772\n64038 96053\n34032 51234\n19273 29033\n67995 100000\n69956 100000\n51766 77710\n59000 88510\n19039 28677\n69098 100000\n70657 100000\n39662 59673\n13776 20744\n87534 100000\n52663 79055\n45804 68809\n59171 88765\n42543 63964\n96542 100000\n56770 85160\n90613 100000\n85836 100000\n73902 100000\n81986 100000\n51308 77009\n10515 15811\n53052 79644\n71401 100000\n97295 100000\n89811 100000\n79907 100000\n36503 54904\n73244 100000\n66904 100000\n92880 100000\n33806 50898\n67427 100000\n14222 21409\n36053 54218\n36299 54595\n97632 100000\n96898 100000\n98674 100000\n3218 4871\n5086 7655\n70269 100000\n90568 100000\n18808 28343\n55693 83571\n52087 78186\n4420 6664\n13804 20785\n45853 68879\n80404 100000\n29254 44055\n36293 54587\n38647 58135\n60478 90739\n67713 100000\n41001 61669\n53302 80018\n84754 100000\n10784 16216\n75442 100000\n79700 100000\n71023 100000\n61622 92449\n65799 98678\n90936 100000\n33071 49806\n40297 60608\n65356 98024\n17743 26738\n39505 59431\n55635 83484\n45655 68588\n76286 100000\n49594 74480\n60205 90331\n70634 100000\n23057 34746\n26640 40131\n21669 32669\n85336 100000\n36500 54898\n52199 78364\n87587 100000\n1222 1828\n38270 57584\n54355 81555\n28575 43021\n77113 100000\n54318 81494\n22955 34588\n28416 42784\n61278 91941\n35984 54116\n15230 22935\n25644 38658\n50697 76108\n58375 87557\n28321 42644\n74975 100000\n71029 100000\n90390 100000\n35041 52711\n85814 100000\n49739 74686\n15781 23773\n97415 100000\n95922 100000\n70724 100000\n32631 49137\n26079 39297\n42059 63247\n16041 24171\n71751 100000\n66324 99485\n3177 4806\n19434 29269\n25146 37897\n34006 51194\n30179 45470\n59748 89632\n81095 100000\n36010 54156\n13977 21046\n24461 36867\n29520 44456\n54737 82114\n29142 43881\n73093 100000\n64524 96779\n61503 92273\n12846 19340\n86104 100000\n24887 37522\n10425 15681\n26563 40019\n64404 96598\n62588 93878\n46418 69734\n28677 43177\n61095 91666\n50761 76205\n9071 13629\n221 318\n69576 100000\n57628 86437\n13959 21018\n50508 75820\n49041 73632\n94889 100000\n3168 4791\n35669 53640\n60578 90887\n18075 27228\n72720 100000\n84502 100000\n2338 3533\n38136 57377\n49174 73839\n22542 33965\n34476 51887\n71167 100000\n23613 35591\n98206 100000\n35039 52708\n90330 100000\n29068 43773\n98816 100000\n41339 62180\n79000 100000\n84428 100000\n47063 70705\n75242 100000\n14186 21357\n56322 84493\n56061 84112\n26489 39912\n89415 100000\n42864 64435\n3122 4724\n71391 100000\n58521 87768\n48538 72891\n93003 100000\n75137 100000\n10924 16438\n7484 11253\n3072 4647\n90633 100000\n74296 100000\n55667 83532\n59736 89614\n18831 28377\n30780 46360\n24438 36833\n96224 100000\n10114 15215\n26253 39552\n79806 100000\n581 864\n39658 59667\n45924 68981\n45149 67855\n74734 100000\n56782 85177\n4604 6942\n17891 26954\n58935 88409\n58377 87560\n61890 92848\n87684 100000\n97577 100000\n91926 100000\n94143 100000\n47735 71694\n34298 51629\n68627 100000\n18636 28091\n20659 31115\n14728 22169\n75374 100000\n15590 23486\n44322 66606\n81732 100000\n81881 100000\n22997 34656\n52878 79379\n41004 61673\n35007 52663\n80599 100000\n26885 40502\n72077 100000\n24003 36182\n17137 25819\n37139 55858\n41954 63093\n79581 100000\n49332 74078\n44796 67331\n29673 44692\n24203 36478\n74131 100000\n11171 16808\n6201 9316\n69668 100000\n686 1026\n19408 29231\n24226 36512\n12922 19461\n789 1183\n61652 92495\n36727 55236\n88905 100000\n62616 93916\n52138 78268\n3563 5380\n62651 93973\n79735 100000\n61047 91590\n8961 13465\n65092 97624\n37462 56339\n43013 64657\n99720 100000\n7664 11517\n34168 51433\n75071 100000\n86109 100000\n31127 46874\n42167 63404\n40904 61518\n44267 66527\n46394 69700\n97096 100000\n89827 100000\n71687 100000\n26158 39416\n97307 100000\n5048 7598\n23222 34998\n54080 81141\n76044 100000\n47434 71253\n40354 60694\n46325 69594\n38381 57747\n36393 54738\n89882 100000\n55524 83320\n68917 100000\n73387 100000\n5493 8246\n87111 100000\n47526 71393\n28065 42255\n18436 27782\n38757 58303\n50117 75244\n40922 61543\n63543 95308\n89512 100000\n136 198\n20935 31544\n40469 60868\n67896 100000\n52282 78484\n10239 15405\n35308 53113\n90758 100000\n27711 41727\n47057 70698\n54616 81942\n68395 100000\n71100 100000\n94733 100000\n10746 16161\n79842 100000\n18574 27998\n67087 100000\n9292 13962\n48039 72150\n75430 100000\n63339 94997\n92343 100000\n91208 100000\n79510 100000\n4841 7301\n55695 83573\n34161 51422\n59147 88729\n66358 99535\n70063 100000\n49087 73702\n32105 48351\n18713 28206\n32211 48513\n83009 100000\n23883 36000\n45558 68446\n48116 72252\n21517 32439\n64184 96267\n96420 100000\n14098 21231\n45081 67751\n99833 100000\n87865 100000\n65444 98165\n81661 100000\n53034 79618\n98041 100000\n98475 100000\n70185 100000\n96067 100000\n99616 100000\n69333 100000\n42649 64126\n75781 100000\n73921 100000\n2984 4515\n99415 100000\n61423 92158\n39381 59253\n40334 60664\n32426 48825\n61157 91759\n89016 100000\n65237 97850\n34854 52440\n29777 44850\n80013 100000\n69664 100000\n87490 100000\n53079 79686\n40335 60666\n78440 100000\n95698 100000\n74536 100000\n76692 100000\n12576 18918\n65162 97737\n69742 100000\n18892 28464\n23950 36095\n10025 15082\n49363 74125\n88780 100000\n55378 83103\n29477 44390\n38249 57548\n48739 73185\n87970 100000\n30935 46582\n47771 71752\n28668 43161\n59771 89668\n65888 98815\n40270 60563\n86063 100000\n28530 42949\n44516 66905\n55067 82622\n26106 39337\n36127 54329\n88767 100000\n57855 86781\n86687 100000\n44805 67344\n83415 100000\n1161 1731\n16851 25374\n90071 100000\n67681 100000\n3080 4657\n22157 33401\n90290 100000\n39844 59939\n85358 100000\n78745 100000\n84550 100000\n7353 11049\n56242 84380\n17574 26479\n26189 39460\n59792 89701\n13298 20030\n53753 80668\n82681 100000\n8008 12029\n45765 68749\n23102 34818\n59401 89114\n20482 30843\n19635 29572\n60594 90914\n35050 52728\n8578 12880\n90570 100000\n93236 100000\n22150 33389\n96438 100000\n80762 100000\n94558 100000\n98997 100000\n49783 74749\n99774 100000\n99307 100000\n17736 26729\n81522 100000\n82018 100000\n13721 20658\n37082 55772\n85036 100000\n43277 65060\n86466 100000\n45042 67691\n99615 100000\n2488 3765\n75620 100000\n63455 95171\n57096 85653\n13852 20860\n72845 100000\n48573 72935\n87437 100000\n83538 100000\n65393 98082\n73227 100000\n91147 100000\n53131 79763\n53609 80450\n87449 100000\n36904 55503\n41631 62610\n50853 76345\n54087 81152\n37206 55958\n27183 40941\n35606 53546\n55867 83819\n20755 31271\n11849 17827\n22983 34635\n18331 27625\n88844 100000\n88291 100000\n63189 94772\n90478 100000\n25541 38496\n60596 90918\n71974 100000\n78207 100000\n36467 54850\n78697 100000\n19308 29089\n34124 51370\n63969 95946\n23428 35305\n26494 39918\n28226 42501\n10241 15407\n17502 26367\n53909 80895\n90782 100000\n62902 94335\n602 900\n68331 100000\n29568 44529\n59982 89988\n7961 11961\n28721 43246\n61249 91897\n89199 100000\n6253 9392\n40830 61407\n65563 98343\n82894 100000\n90118 100000\n31120 46864\n81858 100000\n81291 100000\n47197 70905\n52155 78293\n27545 41482\n98660 100000\n14137 21293\n77184 100000\n7044 10575\n71089 100000\n79215 100000\n38314 57653\n47994 72085\n52253 78440\n81042 100000\n72425 100000\n90882 100000\n66574 99855\n85614 100000\n97061 100000\n72159 100000\n19230 28967\n77815 100000\n73942 100000\n94728 100000\n3202 4844\n7481 11249\n62528 93786\n94926 100000\n93461 100000\n8417 12633\n88807 100000\n97427 100000\n1072 1602\n58714 88064\n23817 35901\n12449 18724\n81686 100000\n27453 41342\n86907 100000\n51273 76960\n91311 100000\n44488 66858\n39358 59217\n76711 100000\n94594 100000\n37093 55787\n49577 74451\n71404 100000\n17590 26506\n44945 67543\n33652 50666\n53983 81005\n77066 100000\n85933 100000\n1692 2548\n32721 49260\n42999 64635\n55254 82908\n84033 100000\n27646 41629\n4423 6669\n81217 100000\n16751 25224\n45305 68086\n29394 44263\n18625 28075\n64734 97093\n67380 100000\n66902 100000\n84564 100000\n73459 100000\n96775 100000\n56961 85451\n45285 68056\n93652 100000\n41385 62248\n13699 20627\n94487 100000\n86761 100000\n93935 100000\n24123 36358\n94581 100000\n41454 62349\n94342 100000\n68530 100000\n32752 49307\n43337 65151\n32392 48777\n62473 93708\n7298 10961\n1403 2106\n43447 65311\n10382 15619\n2966 4487\n34379 51745\n57784 86680\n22903 34507\n3476 5255\n63047 94553\n73830 100000\n60681 91045\n14573 21940\n55985 83994\n7472 11234\n4500 6787\n44969 67582\n64032 96045\n99326 100000\n38169 57429\n89030 100000\n2129 3222\n97780 100000\n3778 5701\n3825 5764\n77421 100000\n61828 92752\n43838 65885\n94147 100000\n4539 6845\n49284 74002\n71235 100000\n31521 47474\n27222 41003\n64645 96955\n5362 8055\n16510 24871\n69907 100000\n20529 30914\n56820 85236\n11545 17376\n96050 100000\n32618 49118\n35753 53774\n45688 68636\n95183 100000\n99629 100000\n59377 89077\n61332 92023\n51105 76712\n911 1362\n91209 100000\n80177 100000\n18678 28153\n19333 29126\n31931 48091\n70890 100000\n82969 100000\n22054 33248\n21200 31952\n50080 75185\n90366 100000\n49145 73790\n56056 84105\n51047 76626\n13190 19868\n67611 100000\n61307 91988\n66678 100000\n3983 6010\n79261 100000\n19571 29474\n35069 52754\n46821 70329\n9502 14286\n59778 89680\n54830 82261\n23208 34978\n95089 100000\n40330 60658\n24 35\n27818 41889\n73036 100000\n52832 79307\n44131 66323\n24516 36942\n24178 36441\n85595 100000\n79039 100000\n45286 68057\n10334 15542\n14908 22449\n16010 24124\n50758 76201\n40340 60674\n30204 45508\n64254 96370\n15432 23250\n96788 100000\n21476 32379\n49076 73687\n42235 63504\n18518 27910\n15744 23716\n41781 62832\n17364 26157\n88185 100000\n88733 100000\n17544 26432\n48776 73238\n44501 66879\n84468 100000\n85852 100000\n99057 100000\n64576 96856\n80050 100000\n39066 58766\n33781 50861\n23899 36024\n77035 100000\n80844 100000\n8994 13510\n74208 100000\n80115 100000\n62272 93418\n97268 100000\n71040 100000\n40890 61502\n60664 91017\n72293 100000\n61835 92764\n24386 36752\n32443 48851\n73193 100000\n73972 100000\n41973 63121\n27473 41369\n64050 96068\n81838 100000\n70392 100000\n84793 100000\n46577 69969\n56920 85391\n52920 79443\n39831 59921\n60857 91309\n94532 100000\n27358 41198\n40602 61070\n54056 81107\n73735 100000\n20665 31124\n31222 47020\n43365 65194\n7654 11500\n39936 60069\n12323 18536\n68095 100000\n95248 100000\n22899 34500\n44225 66461\n34024 51222\n7959 11959\n42975 64601\n25494 38426\n28572 43017\n83342 100000\n75299 100000\n85128 100000\n83232 100000\n5062 7618\n57420 86145\n15052 22665\n47587 71481\n82617 100000\n33471 50390\n75152 100000\n99469 100000\n44830 67380\n51436 77199\n52023 78092\n20965 31592\n54870 82319\n19178 28891\n45801 68804\n32394 48780\n72202 100000\n64980 97456\n47362 71147\n8242 12379\n83933 100000\n93760 100000\n18094 27260\n64144 96208\n5549 8324\n63303 94946\n16207 24420\n17430 26257\n3877 5845\n76786 100000\n39965 60112\n48154 72311\n59191 88794\n54439 81677\n95111 100000\n40135 60367\n53860 80824\n20290 30553\n16029 24151\n83918 100000\n69847 100000\n5984 8992\n85849 100000\n29971 45150\n29985 45172\n83590 100000\n50254 75448\n62315 93479\n47586 71480\n71777 100000\n33188 49976\n75650 100000\n9223 13857\n83409 100000\n17121 25795\n23270 35070\n2463 3722\n45194 67922\n87496 100000\n26588 40056\n87007 100000\n23100 34814\n19780 29783\n84195 100000\n24500 36918\n5499 8253\n22294 33603\n67671 100000\n19175 28888\n55401 83139\n90096 100000\n53090 79703\n75546 100000\n7195 10811\n87440 100000\n38909 58536\n56081 84141\n49124 73758\n74383 100000\n97023 100000\n69219 100000\n17446 26283\n26157 39414\n50085 75192\n5574 8365\n64957 97422\n10814 16267\n24098 36323\n64952 97415\n45401 68226\n638 957\n8901 13371\n80459 100000\n30332 45696\n86192 100000\n85957 100000\n1268 1901\n2403 3632\n87555 100000\n24356 36707\n88694 100000\n10278 15461\n77852 100000\n20475 30831\n21355 32199\n52758 79196\n84356 100000\n69191 100000\n86243 100000\n9971 14994\n1115 1660\n34692 52206\n9526 14320\n61465 92218\n24702 37228\n9549 14357\n9606 14443\n20346 30635\n65215 97819\n77248 100000\n54482 81749\n57596 86386\n1601 2408\n13972 21038\n76074 100000\n52363 78608\n27095 40805\n13330 20078\n7155 10752\n94073 100000\n66012 99004\n94484 100000\n63865 95799\n7408 11130\n64599 96890\n75767 100000\n30481 45915\n30025 45235\n5338 8018\n23205 34974\n24051 36254\n6295 9459\n4610 6953\n17037 25665\n35403 53256\n59806 89726\n67845 100000\n15476 23315\n99708 100000\n18656 28123\n18665 28136\n35345 53166\n72444 100000\n83619 100000\n1287 1932\n45644 68574\n15315 23066\n1660 2499\n2174 3292\n14583 21954\n76220 100000\n53906 80890\n3934 5936\n87276 100000\n99979 100000\n45709 68667\n58593 87874\n35954 54075\n81115 100000\n63134 94688\n87174 100000\n15034 22639\n38374 57736\n89044 100000\n36400 54748\n8679 13034\n91375 100000\n43271 65050\n8506 12772\n74495 100000\n54332 81515\n48695 73114\n61535 92319\n93851 100000\n78493 100000\n42979 64606\n64818 97220\n81994 100000\n38890 58508\n4654 7017\n60549 90844\n88647 100000\n57949 86931\n88866 100000\n66908 100000\n53351 80088\n40066 60268\n77129 100000\n73467 100000\n94028 100000\n40777 61331\n9940 14946\n36211 54457\n11158 16792\n96181 100000\n2746 4154\n37566 56493\n32807 49398\n51148 76777\n56569 84858\n35408 53265\n35131 52850\n74238 100000\n73131 100000\n65281 97913\n35559 53477\n46407 69719\n54434 81669\n33312 50163\n70763 100000\n96384 100000\n30221 45535\n74509 100000\n47980 72065\n46807 70308\n40656 61146\n79362 100000\n60834 91277\n41018 61695\n8402 12612\n8174 12281\n50977 76522\n24581 37039\n55243 82892\n99078 100000\n4526 6822\n91089 100000\n39348 59201\n66185 99276\n48608 72982\n48896 73412\n78091 100000\n54607 81929\n34712 52234\n68503 100000\n7343 11031\n16720 25180\n45317 68102\n37865 56956\n43708 65691\n87268 100000\n91718 100000\n31826 47930\n58938 88414\n78679 100000\n66528 99788\n52566 78920\n15635 23557\n83387 100000\n45198 67930\n51022 76592\n98502 100000\n64357 96527\n2853 4324\n56955 85441\n86768 100000\n39185 58954\n78539 100000\n42756 64276\n48184 72355\n66143 99212\n65176 97758\n5244 7885\n33272 50102\n15406 23214\n77894 100000\n92895 100000\n67110 100000\n45250 68002\n89035 100000\n54207 81332\n64735 97094\n1169 1745\n95469 100000\n61795 92703\n50342 75578\n37698 56692\n2289 3464\n92298 100000\n5556 8336\n33732 50786\n41797 62853\n60172 90283\n19947 30043\n64196 96286\n83001 100000\n30384 45773\n8204 12324\n87756 100000\n75026 100000\n3648 5506\n33265 50092\n74589 100000\n3842 5787\n61483 92245\n76696 100000\n85645 100000\n45948 69021\n93450 100000\n94308 100000\n42588 64029\n68538 100000\n37868 56961\n61755 92647\n74042 100000\n1310 1963\n49917 74944\n14272 21478\n20163 30367\n57451 86187\n28400 42759\n22397 33753\n63337 94994\n78595 100000\n43307 65107\n38216 57500\n7683 11545\n11691 17596\n86813 100000\n80770 100000\n82900 100000\n20842 31410\n28994 43659\n63794 95694\n88255 100000\n23665 35670\n76496 100000\n73285 100000\n80541 100000\n77367 100000\n86051 100000\n89830 100000\n63025 94515\n91930 100000\n47502 71359\n26237 39530\n67925 100000\n93101 100000\n11574 17416\n1339 2008\n60616 90949\n84729 100000\n67803 100000\n88 132\n3956 5972\n9227 13863\n20130 30315\n86829 100000\n15042 22651\n42579 64016\n97405 100000\n80730 100000\n50850 76342\n50592 75951\n88729 100000\n40694 61203\n68958 100000\n75602 100000\n80007 100000\n56599 84906\n12414 18673\n68399 100000\n27669 41668\n49566 74436\n24324 36662\n65380 98062\n49354 74115\n82987 100000\n86733 100000\n41678 62680\n52414 78685\n50512 75827\n22276 33579\n39675 59690\n98291 100000\n18764 28276\n95694 100000\n74170 100000\n23925 36059\n75678 100000\n96635 100000\n21429 32304\n41696 62707\n62111 93174\n48900 73417\n33446 50356\n661 990\n32505 48951\n67069 100000\n51405 77154\n13200 19881\n32562 49037\n67383 100000\n54348 81541\n35372 53209\n66214 99317\n39969 60119\n3605 5441\n88115 100000\n99127 100000\n81281 100000\n26996 40666\n94132 100000\n47727 71683\n53016 79590\n33398 50281\n13401 20182\n47731 71688\n30563 46037\n5017 7553\n1944 2933\n47513 71375\n54208 81333\n85762 100000\n96531 100000\n53309 80026\n24731 37277\n27141 40875\n88594 100000\n44530 66926\n99656 100000\n3449 5215\n40321 60643\n38838 58431\n57480 86225\n42341 63661\n41981 63132\n60621 90958\n39254 59053\n37269 56050\n60866 91322\n97835 100000\n92021 100000\n77591 100000\n31259 47073\n40606 61075\n16004 24113\n70898 100000\n30460 45886\n63904 95854\n23461 35354\n97998 100000\n71523 100000\n69746 100000\n77972 100000\n58122 87188\n94207 100000\n71861 100000\n22099 33316\n61957 92944\n88911 100000\n81785 100000\n78868 100000\n77747 100000\n69299 100000\n17653 26599\n30390 45781\n98527 100000\n29810 44899\n20078 30239\n44932 67524\n62586 93875\n65591 98383\n73451 100000\n53760 80677\n38204 57481\n28437 42815\n41482 62392\n72100 100000\n55082 82644\n54562 81865\n56146 84237\n52086 78185\n90614 100000\n3991 6020\n20311 30582\n5074 7637\n97372 100000\n66165 99247\n62551 93826\n96738 100000\n24028 36223\n31698 47740\n31994 48184\n41450 62343\n13379 20151\n34820 52392\n32351 48723\n87462 100000\n15244 22956\n51188 76836\n16047 24180\n11649 17529\n82854 100000\n51773 77720\n844 1262\n91757 100000\n20462 30811\n80949 100000\n3759 5675\n58927 88395\n92731 100000\n79040 100000\n24019 36208\n27893 42000\n6564 9851\n25417 38308\n12795 19267\n29075 43782\n74764 100000\n44757 67272\n99884 100000\n49378 74147\n76568 100000\n12289 18488\n94248 100000\n22269 33569\n89621 100000\n56741 85123\n29843 44955\n19450 29293\n74880 100000\n49015 73591\n3769 5689\n82730 100000\n46510 69873\n49503 74337\n65255 97876\n52635 79016\n37753 56781\n56115 84191\n864 1290\n98423 100000\n58603 87890\n17993 27109\n35522 53429\n76859 100000\n44415 66750\n31169 46941\n76506 100000\n82938 100000\n14531 21875\n79312 100000\n75111 100000\n13486 20309\n3350 5069\n20698 31180\n10006 15052\n21520 32443\n6105 9167\n90177 100000\n55349 83060\n31048 46751\n25270 38084\n11287 16985\n35994 54131\n87791 100000\n83282 100000\n79897 100000\n35842 53908\n66510 99759\n38874 58484\n57139 85718\n37561 56487\n18261 27518\n42465 63851\n50127 75261\n51721 77641\n45670 68611\n74471 100000\n77992 100000\n14204 21384\n74784 100000\n6562 9847\n87819 100000\n73455 100000\n16816 25319\n17046 25680\n40881 61488\n45490 68351\n99319 100000\n40827 61402\n91409 100000\n94983 100000\n34424 51810\n46462 69800\n27792 41849\n23683 35698\n40893 61505\n49477 74295\n2379 3597\n99749 100000\n34367 51726\n43541 65454\n56231 84366\n28801 43372\n22497 33900\n28896 43512\n3112 4709\n58305 87456\n91391 100000\n9187 13801\n52158 78298\n88758 100000\n61250 91898\n1353 2028\n16197 24406\n51209 76868\n66400 99594\n28311 42630\n65389 98077\n57144 85725\n65925 98875\n38531 57971\n31641 47651\n31007 46690\n65324 97974\n78649 100000\n34292 51620\n48560 72920\n48786 73254\n45062 67722\n43336 65150\n86836 100000\n23143 34880\n31925 48081\n91128 100000\n56191 84307\n40115 60337\n35313 53120\n59110 88677\n79986 100000\n44896 67474\n56461 84701\n27734 41764\n46887 70427\n15855 23897\n20731 31235\n35157 52890\n4208 6346\n19219 28950\n5797 8703\n88394 100000\n91813 100000\n58990 88497\n56376 84575\n48833 73323\n52134 78262\n47447 71273\n22877 34466\n46239 69460\n49900 74922\n51346 77064\n44361 66670\n96645 100000\n21390 32248\n7321 10999\n73261 100000\n79832 100000\n30817 46412\n72648 100000\n6544 9822\n71279 100000\n60088 90151\n3592 5422\n11426 17197\n56465 84707\n96783 100000\n89264 100000\n91507 100000\n3243 4907\n48646 73041\n14208 21389\n86356 100000\n59182 88781\n60736 91137\n5304 7970\n14795 22273\n41124 61860\n34830 52407\n44997 67624\n94175 100000\n50154 75304\n89217 100000\n34781 52333\n40350 60689\n26866 40472\n40076 60282\n74669 100000\n30193 45491\n32782 49358\n70075 100000\n22669 34151\n48915 73441\n20664 31123\n43917 66002\n23218 34993\n2024 3060\n41595 62554\n73881 100000\n13325 20072\n1521 2282\n75738 100000\n6311 9480\n63535 95293\n23547 35494\n87321 100000\n17611 26538\n8710 13079\n22216 33488\n22432 33805\n16480 24824\n98922 100000\n91153 100000\n80515 100000\n42159 63393\n74247 100000\n90090 100000\n87115 100000\n63888 95831\n84431 100000\n54816 82239\n52744 79174\n16269 24518\n44829 67379\n10556 15875\n82887 100000\n15506 23364\n13610 20492\n10858 16329\n80439 100000\n96904 100000\n26405 39783\n49362 74124\n26486 39907\n40511 60930\n546 808\n83060 100000\n87527 100000\n39862 59968\n72777 100000\n40918 61538\n32832 49434\n49521 74367\n83136 100000\n74051 100000\n55293 82971\n40785 61343\n6746 10126\n12635 19012\n59969 89969\n71529 100000\n88683 100000\n44386 66709\n19535 29424\n88672 100000\n4192 6325\n34087 51317\n76359 100000\n55444 83202\n84390 100000\n75760 100000\n35317 53126\n97323 100000\n18305 27586\n91261 100000\n94727 100000\n34821 52393\n6734 10109\n91564 100000\n83266 100000\n85686 100000\n85032 100000\n96240 100000\n20372 30673\n76636 100000\n45703 68658\n82637 100000\n45916 68968\n30712 46263\n89722 100000\n89998 100000\n94481 100000\n20269 30519\n43568 65492\n19974 30086\n2573 3895\n33618 50615\n9375 14087\n94280 100000\n2999 4539\n36517 54922\n10288 15473\n56292 84450\n31490 47428\n27479 41378\n86815 100000\n3656 5519\n36469 54852\n64507 96754\n77424 100000\n13317 20059\n23066 34760\n7829 11760\n26330 39665\n95407 100000\n74106 100000\n56339 84520\n3894 5872\n62265 93407\n67942 100000\n50207 75379\n23944 36085\n55231 82873\n93779 100000\n92231 100000\n55361 83079\n84588 100000\n94204 100000\n61065 91616\n95178 100000\n23529 35464\n27698 41709\n84438 100000\n1960 2958\n56972 85467\n46373 69667\n23018 34688\n49718 74657\n67853 100000\n40531 60962\n25908 39057\n81745 100000\n42532 63950\n63183 94763\n41765 62812\n59160 88748\n5358 8048\n30849 46456\n29077 43785\n55133 82725\n71430 100000\n43663 65631\n54218 81345\n21858 32951\n67628 100000\n13749 20701\n16024 24145\n43741 65736\n75600 100000\n1113 1656\n6647 9976\n75854 100000\n79178 100000\n44455 66808\n94901 100000\n93357 100000\n67165 100000\n54330 81513\n72115 100000\n82338 100000\n35715 53717\n24477 36886\n43621 65572\n58197 87294\n70302 100000\n40972 61623\n88214 100000\n62310 93472\n87433 100000\n10173 15302\n74068 100000\n27577 41529\n92331 100000\n58487 87717\n19871 29926\n90949 100000\n64766 97140\n66813 100000\n39063 58761\n8368 12560\n44388 66712\n50130 75266\n86529 100000\n6021 9045\n49793 74765\n90185 100000\n58096 87151\n20406 30727\n31984 48170\n82485 100000\n73683 100000\n2030 3069\n81608 100000\n97039 100000\n4820 7265\n77075 100000\n98971 100000\n30521 45974\n52293 78500\n61849 92787\n49356 74117\n64720 97071\n89855 100000\n64530 96788\n31101 46832\n43910 65991\n36567 55003\n29522 44459\n67522 100000\n82495 100000\n6009 9027\n71769 100000\n76833 100000\n95487 100000\n91419 100000\n88763 100000\n99012 100000\n64482 96713\n95371 100000\n24686 37201\n41382 62244\n78783 100000\n4708 7097\n80518 100000\n12540 18864\n88360 100000\n45821 68834\n21300 32111\n86592 100000\n29168 43924\n36891 55484\n85773 100000\n4784 7214\n83621 100000\n76970 100000\n34506 51930\n48347 72602\n87455 100000\n61458 92208\n36354 54679\n87130 100000\n60960 91460\n16274 24524\n31561 47536\n20144 30334\n94685 100000\n59063 88606\n21351 32192\n55542 83345\n37740 56761\n23534 35473\n25406 38291\n22455 33838\n75675 100000\n63900 95849\n71629 100000\n86348 100000\n19865 29916\n83531 100000\n80675 100000\n70332 100000\n19549 29442\n17972 27076\n82725 100000\n3984 6012\n33430 50329\n67710 100000\n51355 77078\n63822 95736\n92475 100000\n39640 59635\n76719 100000\n31753 47820\n16547 24924\n24155 36404\n4872 7346\n52661 79052\n42254 63531\n58941 88419\n52845 79328\n57074 85620\n82135 100000\n34640 52128\n96890 100000\n98148 100000\n78065 100000\n16873 25409\n55003 82524\n39309 59139\n58936 88410\n45609 68523\n91490 100000\n20210 30434\n18369 27683\n16121 24299\n77931 100000\n80732 100000\n18083 27241\n19899 29972\n63452 95166\n473 696\n58832 88254\n52586 78951\n63018 94504\n72583 100000\n5609 8421\n59973 89974\n80545 100000\n82552 100000\n89003 100000\n86591 100000\n7686 11550\n20097 30270\n29624 44617\n55080 82641\n93411 100000\n91414 100000\n61049 91594\n44205 66433\n83548 100000\n8270 12418\n97959 100000\n79920 100000\n85896 100000\n34408 51785\n19247 28993\n23848 35947\n51159 76793\n48666 73073\n28213 42481\n15857 23899\n78975 100000\n346 502\n69022 100000\n70555 100000\n90766 100000\n95528 100000\n70305 100000\n60038 90073\n88835 100000\n26201 39476\n86860 100000\n37929 57053\n40816 61389\n85009 100000\n97331 100000\n93949 100000\n74522 100000\n13901 20936\n7189 10801\n41218 62003\n8568 12862\n30876 46493\n68661 100000\n10259 15433\n10959 16495\n31276 47102\n52040 78120\n33384 50261\n78129 100000\n26356 39708\n15976 24072\n4021 6065\n85421 100000\n11259 16942\n95534 100000\n88824 100000\n59174 88769\n64472 96697\n70795 100000\n73787 100000\n5217 7847\n89408 100000\n71334 100000\n47959 72031\n63977 95962\n82279 100000\n33492 50423\n40728 61255\n79192 100000\n97815 100000\n63284 94915\n63410 95105\n36083 54267\n72660 100000\n15679 23626\n76716 100000\n39255 59055\n60976 91485\n31191 46976\n55863 83814\n45525 68402\n58745 88119\n96338 100000\n69939 100000\n11569 17410\n15264 22987\n89354 100000\n25294 38118\n33795 50883\n85397 100000\n39233 59021\n74562 100000\n53836 80789\n83990 100000\n67487 100000\n76729 100000\n44679 67148\n89485 100000\n23295 35105\n53635 80489\n94683 100000\n76262 100000\n87232 100000\n63660 95493\n68226 100000\n11042 16617\n17404 26217\n54021 81061\n66861 100000\n62454 93679\n81238 100000\n24469 36877\n51822 77800\n26840 40432\n22675 34160\n70920 100000\n18767 28281\n43686 65661\n47287 71034\n65159 97732\n7671 11529\n78486 100000\n93317 100000\n29352 44202\n62151 93237\n14217 21403\n53736 80643\n12228 18397\n43078 64757\n41367 62222\n57804 86710\n61042 91584\n82549 100000\n33166 49943\n84414 100000\n64283 96414\n9647 14503\n80663 100000\n21927 33061\n27169 40920\n40781 61338\n36599 55056\n98901 100000\n97205 100000\n64739 97100\n6454 9695\n85923 100000\n43289 65076\n26412 39793\n13567 20427\n57872 86810\n85707 100000\n12389 18634\n24145 36393\n83354 100000\n51788 77743\n49120 73751\n28374 42719\n14034 21137\n58773 88163\n16635 25056\n36690 55185\n14880 22405\n58058 87094\n41919 63040\n75123 100000\n26074 39289\n13100 19733\n44983 67603\n4342 6549\n68273 100000\n68741 100000\n18881 28446\n47075 70724\n65803 98685\n93117 100000\n30977 46648\n22119 33347\n49862 74866\n29111 43838\n65136 97691\n67391 100000\n6101 9159\n50793 76254\n2388 3611\n58071 87111\n39780 59846\n96568 100000\n52405 78671\n46909 70460\n39592 59564\n605 905\n83496 100000\n90089 100000\n4631 6985\n71327 100000\n84101 100000\n58942 88420\n74366 100000\n50149 75296\n4249 6407\n12959 19519\n93181 100000\n96339 100000\n76933 100000\n35682 53662\n94931 100000\n6160 9248\n6946 10427\n42547 63972\n50177 75338\n3322 5023\n19215 28944\n62901 94333\n18635 28090\n89361 100000\n87835 100000\n99733 100000\n48166 72327\n24343 36688\n70632 100000\n15119 22766\n26717 40244\n43036 64692\n77199 100000\n40312 60630\n99386 100000\n66837 100000\n43151 64863\n83841 100000\n23062 34753\n15918 23986\n24999 37681\n35106 52816\n14572 21938\n13386 20161\n74547 100000\n55183 82799\n34412 51791\n12711 19132\n81340 100000\n11111 16725\n71098 100000\n4672 7046\n29702 44736\n10837 16299\n98207 100000\n38041 57230\n81243 100000\n90146 100000\n96489 100000\n91186 100000\n97319 100000\n151 220\n66028 99030\n68298 100000\n27588 41544\n85783 100000\n44740 67244\n71625 100000\n87671 100000\n40825 61399\n75861 100000\n95453 100000\n58218 87325\n88463 100000\n33761 50829\n96982 100000\n57438 86171\n55929 83909\n3327 5030\n25210 37990\n47961 72035\n28595 43054\n84776 100000\n27392 41248\n6363 9554\n92747 100000\n29948 45113\n45530 68408\n8105 12174\n75181 100000\n50017 75087\n20681 31150\n62042 93073\n34267 51581\n32667 49186\n91923 100000\n86091 100000\n68541 100000\n98998 100000\n29612 44599\n5593 8397\n15491 23338\n15717 23677\n65793 98668\n80400 100000\n57457 86195\n9787 14712\n56204 84326\n17196 25913\n21327 32155\n5622 8440\n43458 65326\n99685 100000\n94870 100000\n57939 86916\n70895 100000\n78084 100000\n44367 66679\n22110 33333\n67346 100000\n67389 100000\n95914 100000\n34578 52032\n64819 97221\n84415 100000\n35052 52730\n77585 100000\n34988 52633\n5095 7668\n49712 74646\n81071 100000\n53077 79683\n13398 20178\n68954 100000\n9020 13554\n85632 100000\n14606 21988\n32167 48446\n5577 8370\n97880 100000\n30539 46000\n84134 100000\n65681 98515\n28628 43101\n14084 21211\n20119 30299\n62280 93429\n66556 99827\n28964 43614\n14748 22199\n14678 22098\n80865 100000\n38048 57240\n20974 31605\n69129 100000\n62486 93727\n87017 100000\n20592 31012\n40644 61128\n21169 31907\n31415 47314\n45009 67641\n30722 46278\n89748 100000\n70603 100000\n17122 25796\n21738 32762\n46733 70202\n77927 100000\n60539 90829\n8194 12313\n1709 2574\n34813 52381\n79524 100000\n54807 82226\n63136 94691\n31292 47128\n66712 100000\n4718 7114\n67918 100000\n92193 100000\n61169 91778\n38686 58190\n42910 64506\n62964 94427\n14257 21457\n89576 100000\n78308 100000\n72980 100000\n11567 17408\n25727 38786\n36035 54190\n74600 100000\n24709 37240\n50797 76261\n46425 69744\n81467 100000\n43547 65463\n91632 100000\n76449 100000\n30350 45723\n84551 100000\n59347 89029\n12408 18662\n44193 66415\n75899 100000\n13073 19690\n61373 92082\n32019 48217\n95406 100000\n88628 100000\n94755 100000\n26108 39340\n45952 69028\n46664 70094\n10657 16026\n83051 100000\n20310 30581\n65433 98146\n95668 100000\n65572 98354\n22825 34383\n33783 50864\n20 28\n10893 16386\n68553 100000\n27514 41437\n62062 93101\n13600 20477\n42500 63901\n43919 66006\n12207 18365\n8611 12928\n20590 31009\n98116 100000\n13844 20845\n85097 100000\n470 691\n73679 100000\n42261 63542\n42380 63720\n24809 37403\n76652 100000\n71917 100000\n80504 100000\n19262 29017\n55152 82753\n30451 45873\n20956 31576\n62953 94409\n64499 96742\n64265 96386\n92736 100000\n99757 100000\n82551 100000\n42556 63986\n42742 64258\n16405 24713\n71678 100000\n5374 8070\n42708 64209\n76234 100000\n59208 88817\n78690 100000\n70988 100000\n965 1443\n4462 6727\n93735 100000\n74917 100000\n25434 38335\n40963 61606\n57381 86084\n68305 100000\n81459 100000\n7825 11755\n85363 100000\n47409 71215\n48780 73244\n11453 17239\n33169 49948\n16247 24485\n64337 96494\n5804 8715\n69642 100000\n47099 70763\n4846 7308\n50140 75281\n40761 61308\n17033 25657\n11581 17426\n3959 5976\n14819 22311\n64713 97059\n16353 24641\n27659 41651\n42620 64080\n78203 100000\n79388 100000\n31446 47360\n68640 100000\n83209 100000\n3810 5743\n17183 25892\n77277 100000\n17454 26296\n23927 36062\n87559 100000\n60256 90405\n21903 33024\n23021 34694\n89664 100000\n82582 100000\n75403 100000\n86601 100000\n79982 100000\n72347 100000\n36062 54232\n9966 14985\n96432 100000\n91441 100000\n5628 8450\n67447 100000\n42083 63281\n78163 100000\n96774 100000\n15198 22885\n802 1201\n70473 100000\n21153 31883\n42266 63549\n78644 100000\n97108 100000\n19950 30047\n94440 100000\n92694 100000\n51023 76593\n16061 24200\n74459 100000\n68756 100000\n24634 37122\n64359 96530\n21177 31920\n82954 100000\n89146 100000\n8919 13398\n17598 26519\n80817 100000\n32959 49632\n62222 93346\n79632 100000\n71982 100000\n97369 100000\n47072 70720\n38470 57875\n64447 96665\n90334 100000\n18291 27564\n84449 100000\n26274 39581\n89862 100000\n42987 64616\n82839 100000\n80183 100000\n55896 83863\n11617 17478\n19239 28984\n89809 100000\n39439 59333\n65597 98392\n82738 100000\n24921 37572\n19113 28789\n2782 4216\n67494 100000\n31647 47660\n89429 100000\n14937 22494\n9756 14665\n9794 14723\n16755 25230\n604 904\n9584 14410\n63418 95117\n59842 89785\n59652 89487\n26809 40384\n6302 9467\n39402 59279\n19309 29090\n25205 37984\n17294 26060\n69408 100000\n14624 22016\n57495 86245\n6852 10288\n84361 100000\n32669 49188\n34010 51201\n85163 100000\n60326 90509\n49366 74131\n18113 27289\n95052 100000\n49626 74524\n98811 100000\n2960 4477\n58711 88058\n25592 38573\n23349 35188\n69529 100000\n41457 62353\n68407 100000\n85799 100000\n37774 56814\n65687 98524\n51532 77351\n63988 95978\n17580 26491\n48821 73306\n11850 17828\n84598 100000\n63497 95235\n32122 48374\n1481 2225\n87034 100000\n23410 35277\n51247 76923\n32753 49308\n55220 82857\n42340 63660\n23430 35309\n68201 100000\n80776 100000\n79415 100000\n87643 100000\n79788 100000\n92935 100000\n4698 7083\n16731 25198\n66508 99756\n30612 46114\n65175 97756\n81530 100000\n27480 41380\n99292 100000\n80367 100000\n93409 100000\n59429 89154\n89603 100000\n17372 26170\n92981 100000\n15742 23713\n94228 100000\n38806 58380\n41337 62178\n68934 100000\n31835 47945\n86065 100000\n58073 87113\n20783 31315\n74408 100000\n52785 79236\n42530 63948\n24555 36997\n29945 45108\n1295 1943\n22007 33180\n7785 11692\n14817 22308\n62431 93649\n41691 62700\n28816 43393\n1380 2074\n22008 33181\n93620 100000\n93595 100000\n27129 40857\n73950 100000\n22335 33663\n19928 30015\n15428 23242\n63034 94530\n98236 100000\n41400 62272\n53369 80112\n13853 20862\n40453 60842\n59280 88928\n17427 26252\n10755 16175\n16750 25223\n30222 45537\n74320 100000\n18002 27126\n21038 31702\n78758 100000\n75369 100000\n79672 100000\n43673 65643\n40071 60276\n58147 87224\n7055 10590\n3717 5611\n69840 100000\n86439 100000\n83473 100000\n92114 100000\n65211 97813\n91536 100000\n51660 77547\n41163 61921\n12815 19301\n22378 33725\n88896 100000\n60074 90130\n14275 21481\n61784 92688\n34650 52142\n20190 30404\n13482 20304\n80779 100000\n38387 57756\n47691 71631\n70672 100000\n32947 49614\n86376 100000\n20573 30982\n76472 100000\n59128 88701\n52195 78357\n18535 27938\n16001 24109\n84451 100000\n65987 98972\n76865 100000\n7278 10932\n2400 3627\n18953 28553\n29931 45083\n28363 42705\n52372 78620\n79245 100000\n43319 65122\n81893 100000\n65273 97899\n13487 20310\n55482 83257\n89303 100000\n12001 18047\n51558 77390\n50200 75370\n76283 100000\n14075 21197\n23137 34869\n99768 100000\n24879 37510\n42705 64205\n16159 24352\n183 263\n91123 100000\n78004 100000\n44723 67220\n29885 45014\n82537 100000\n43032 64686\n97473 100000\n64373 96551\n70463 100000\n7870 11824\n50114 75240\n14405 21681\n60853 91304\n88578 100000\n30435 45847\n3239 4900\n39886 60002\n19584 29495\n42444 63820\n82707 100000\n9407 14138\n27000 40671\n5408 8121\n45637 68565\n42537 63957\n91142 100000\n51399 77146\n81834 100000\n29182 43947\n7619 11447\n58054 87088\n90906 100000\n32607 49103\n1905 2872\n62609 93906\n15041 22649\n10610 15951\n90137 100000\n19698 29667\n51993 78052\n50088 75197\n95902 100000\n12110 18216\n63522 95271\n91881 100000\n72105 100000\n59826 89759\n98834 100000\n70412 100000\n69706 100000\n33901 51042\n25218 38002\n244 348\n651 974\n48972 73533\n75533 100000\n99298 100000\n34239 51534\n44040 66190\n18955 28556\n84071 100000\n34862 52452\n83004 100000\n55341 83044\n12914 19448\n13334 20085\n72378 100000\n89308 100000\n23361 35207\n72206 100000\n39774 59836\n70439 100000\n90564 100000\n94830 100000\n42545 63968\n11295 16999\n71588 100000\n80214 100000\n2516 3807\n63685 95530\n46224 69437\n28442 42823\n36874 55458\n34234 51526\n9521 14313\n73624 100000\n5821 8744\n91336 100000\n51067 76655\n94391 100000\n48197 72378\n76581 100000\n69290 100000\n41013 61687\n36564 54998\n91723 100000\n78932 100000\n73351 100000\n67039 100000\n51898 77909\n11329 17052\n6013 9034\n54295 81460\n57421 86146\n41963 63106\n35814 53866\n29040 43731\n22907 34513\n80463 100000\n31132 46882\n19768 29769\n64588 96874\n94615 100000\n55208 82840\n1902 2867\n24940 37596\n22629 34090\n66501 99747\n71578 100000\n99100 100000\n84601 100000\n50790 76251\n60332 90518\n79803 100000\n39188 58958\n75729 100000\n19501 29375\n21522 32447\n92822 100000\n2756 4171\n71139 100000\n72419 100000\n28799 43368\n64703 97042\n60064 90114\n38453 57855\n10926 16440\n53157 79805\n51551 77379\n56545 84827\n28445 42828\n63662 95497\n18638 28093\n55740 83636\n76266 100000\n14593 21969\n57534 86304\n21593 32549\n21647 32634\n32846 49454\n28310 42629\n42855 64422\n73279 100000\n86789 100000\n33048 49771\n69064 100000\n31940 48106\n92564 100000\n92948 100000\n79463 100000\n16631 25050\n71207 100000\n16852 25376\n88050 100000\n84932 100000\n76674 100000\n59658 89494\n62442 93664\n48720 73152\n4600 6937\n16379 24678\n12068 18150\n81498 100000\n33721 50770\n62951 94407\n31009 46694\n67222 100000\n66860 100000\n84631 100000\n66240 99359\n14959 22529\n85650 100000\n33218 50019\n35464 53348\n52525 78851\n5640 8466\n81735 100000\n62731 94085\n18553 27967\n71628 100000\n44637 67086\n82355 100000\n55646 83502\n62260 93400\n42385 63728\n16901 25452\n64155 96225\n61928 92902\n12721 19148\n32217 48524\n43066 64740\n91197 100000\n5344 8026\n68059 100000\n89483 100000\n53150 79794\n61615 92437\n35341 53159\n5642 8470\n32306 48656\n15 20\n1437 2160\n20625 31065\n71351 100000\n83206 100000\n70357 100000\n66570 99848\n19554 29450\n98422 100000\n97570 100000\n63968 95945\n63919 95876\n74175 100000\n97058 100000\n35046 52721\n30357 45734\n7819 11746\n93457 100000\n89019 100000\n72875 100000\n59808 89729\n31959 48131\n43065 64738\n60592 90911\n73307 100000\n90650 100000\n72154 100000\n2326 3517\n75985 100000\n60852 91303\n96209 100000\n4059 6124\n86953 100000\n75456 100000\n49130 73768\n50770 76215\n45059 67718\n85655 100000\n15614 23524\n67123 100000\n72258 100000\n25937 39099\n71206 100000\n15877 23926\n41789 62843\n36242 54505\n51562 77395\n44996 67622\n99844 100000\n13018 19607\n82877 100000\n81722 100000\n76668 100000\n79498 100000\n30649 46166\n94902 100000\n37655 56624\n55432 83185\n97132 100000\n29598 44577\n5910 8884\n64094 96136\n39364 59226\n59797 89709\n19021 28653\n81675 100000\n14578 21946\n17414 26232\n28273 42571\n24421 36805\n38904 58529\n78360 100000\n17321 26099\n36390 54735\n39232 59019\n69496 100000\n93460 100000\n90241 100000\n83014 100000\n3044 4604\n93382 100000\n61908 92878\n44265 66524\n36489 54882\n3216 4867\n42861 64431\n40158 60399\n48558 72918\n92116 100000\n95932 100000\n23904 36031\n41138 61881\n54834 82265\n94168 100000\n8970 13479\n61460 92212\n78261 100000\n43088 64773\n48002 72095\n11968 18001\n13965 21028\n85837 100000\n65569 98350\n67979 100000\n85325 100000\n36873 55457\n91957 100000\n25655 38676\n40302 60616\n96245 100000\n58916 88378\n31475 47406\n59719 89590\n52489 78794\n60713 91096\n29132 43864\n96369 100000\n94099 100000\n74910 100000\n97339 100000\n78267 100000\n45582 68478\n35716 53719\n86080 100000\n8072 12128\n38526 57964\n80855 100000\n58079 87121\n6856 10293\n28177 42431\n74549 100000\n75395 100000\n3640 5494\n11282 16977\n15442 23265\n93229 100000\n64238 96345\n2630 3977\n9279 13943\n25768 38849\n77514 100000\n54593 81912\n63625 95440\n91899 100000\n62132 93206\n6522 9793\n55175 82787\n27901 42012\n34817 52387\n21324 32149\n75005 100000\n20869 31449\n14028 21126\n52637 79019\n20194 30411\n63682 95526\n81476 100000\n99009 100000\n44891 67468\n47591 71488\n69480 100000\n45975 69066\n5316 7986\n60376 90584\n66262 99391\n30167 45453\n77975 100000\n3007 4551\n91118 100000\n5925 8908\n313 451\n92583 100000\n36824 55382\n92973 100000\n61430 92170\n56832 85257\n9513 14302\n62566 93848\n65422 98129\n79031 100000\n85304 100000\n87416 100000\n99837 100000\n35876 53957\n98740 100000\n72813 100000\n82391 100000\n41988 63142\n91326 100000\n10648 16011\n28514 42929\n23368 35217\n6981 10480\n25898 39043\n63810 95717\n52209 78378\n51454 77229\n86763 100000\n3108 4702\n25071 37789\n97056 100000\n7114 10682\n35517 53422\n13679 20595\n38955 58604\n28485 42887\n76011 100000\n54889 82348\n7778 11683\n58352 87527\n85497 100000\n44178 66392\n66993 100000\n94396 100000\n4068 6138\n14468 21779\n26641 40133\n18732 28232\n63157 94722\n6570 9860\n6482 9734\n80567 100000\n43749 65748\n17934 27019\n75681 100000\n29101 43823\n9691 14565\n95600 100000\n32370 48750\n62162 93254\n13573 20436\n76161 100000\n18809 28345\n91456 100000\n11919 17929\n85416 100000\n25089 37818\n35755 53777\n18959 28561\n93763 100000\n47866 71895\n1943 2932\n72656 100000\n27215 40990\n61633 92467\n19138 28829\n23938 36077\n28841 43431\n63754 95632\n80372 100000\n61923 92896\n83103 100000\n95265 100000\n9913 14903\n81140 100000\n86450 100000\n98204 100000\n62667 93999\n43498 65385\n19101 28770\n23519 35449\n82091 100000\n5913 8889\n5088 7658\n61692 92553\n32064 48287\n20472 30826\n92543 100000\n40692 61201\n75316 100000\n34317 51658\n34153 51410\n53350 80087\n21292 32098\n37609 56557\n80508 100000\n65676 98507\n58406 87600\n20597 31020\n66389 99578\n4480 6753\n85639 100000\n23362 35208\n30753 46324\n92656 100000\n44341 66639\n30881 46501\n16173 24372\n83697 100000\n49092 73710\n75342 100000\n33220 50022\n97353 100000\n25445 38354\n98121 100000\n63268 94892\n97923 100000\n6145 9226\n54192 81308\n53940 80939\n12351 18577\n67786 100000\n93905 100000\n45252 68006\n93014 100000\n79042 100000\n33355 50221\n67361 100000\n66947 100000\n19397 29216\n71067 100000\n8324 12500\n98930 100000\n82074 100000\n44300 66573\n14436 21727\n88684 100000\n48619 72997\n91291 100000\n14801 22281\n86083 100000\n77147 100000\n36854 55426\n81154 100000\n83504 100000\n91331 100000\n24765 37328\n23926 36060\n8383 12582\n11873 17863\n84011 100000\n75844 100000\n68812 100000\n83295 100000\n83477 100000\n67719 100000\n72501 100000\n98687 100000\n20971 31600\n74620 100000\n97654 100000\n6978 10475\n16162 24356\n38421 57808\n32555 49027\n57261 85905\n21427 32302\n50374 75622\n65938 98896\n65262 97885\n98760 100000\n37272 56055\n50678 76083\n62508 93756\n87793 100000\n87934 100000\n42477 63869\n21884 32994\n4984 7508\n21081 31772\n84459 100000\n9346 14046\n40016 60192\n4865 7335\n80593 100000\n1704 2566\n20953 31571\n92035 100000\n97122 100000\n86481 100000\n43745 65741\n48208 72394\n90642 100000\n84571 100000\n55068 82624\n91233 100000\n99864 100000\n81714 100000\n48973 73534\n31829 47935\n56529 84803\n61669 92519\n72234 100000\n1751 2639\n73529 100000\n94823 100000\n60479 90741\n40263 60551\n99894 100000\n23715 35746\n72442 100000\n23821 35906\n45702 68657\n99789 100000\n30661 46185\n44906 67487\n20928 31535\n94212 100000\n69997 100000\n80089 100000\n15363 23150\n18836 28385\n30157 45440\n71679 100000\n41051 61746\n19585 29496\n59611 89427\n12910 19444\n90713 100000\n70514 100000\n12439 18709\n6209 9326\n5137 7728\n32580 49064\n716 1074\n73419 100000\n68691 100000\n59879 89837\n97344 100000\n67833 100000\n57150 85733\n95509 100000\n90395 100000\n24922 37573\n50570 75919\n50676 76080\n16129 24308\n81912 100000\n55873 83826\n60234 90375\n91947 100000\n30303 45654\n68303 100000\n23807 35888\n45268 68030\n39157 58910\n19289 29060\n43852 65902\n75384 100000\n11385 17133\n29728 44780\n12247 18426\n13226 19922\n87360 100000\n80539 100000\n37473 56358\n4353 6565\n14877 22402\n30555 46025\n46431 69753\n47374 71165\n37428 56287\n61223 91859\n36277 54561\n21576 32529\n49863 74868\n98095 100000\n20473 30828\n46100 69250\n48481 72801\n85876 100000\n25602 38590\n32242 48557\n20363 30661\n89253 100000\n64893 97332\n1100 1640\n26297 39618\n22441 33816\n82863 100000\n18259 27514\n68817 100000\n79733 100000\n47640 71555\n22757 34285\n17106 25770\n83599 100000\n70445 100000\n66411 99611\n96541 100000\n76308 100000\n19582 29492\n56675 85021\n55475 83247\n54220 81348\n79874 100000\n25756 38831\n80602 100000\n20788 31322\n96176 100000\n32801 49388\n32622 49123\n13321 20065\n7466 11224\n88909 100000\n39872 59980\n27340 41173\n47068 70713\n52007 78068\n42757 64278\n37925 57045\n42978 64605\n33078 49818\n3911 5897\n1880 2835\n81000 100000\n87720 100000\n61816 92734\n87109 100000\n44085 66253\n27342 41177\n74385 100000\n40921 61542\n2904 4401\n98536 100000\n87333 100000\n55101 82673\n74913 100000\n28730 43258\n9026 13563\n89357 100000\n16522 24892\n60759 91175\n86462 100000\n76353 100000\n39368 59232\n54745 82129\n71470 100000\n78847 100000\n36700 55199\n1721 2592\n34955 52583\n25028 37720\n54964 82464\n74231 100000\n51096 76699\n90173 100000\n36305 54605\n83780 100000\n39995 60160\n77210 100000\n78221 100000\n73063 100000\n54850 82289\n10916 16425\n46292 69547\n39887 60003\n68001 100000\n47425 71240\n75325 100000\n73443 100000\n31210 47001\n96389 100000\n18284 27554\n20670 31133\n41930 63056\n37267 56047\n30054 45274\n39693 59716\n42879 64458\n15722 23685\n63776 95667\n84545 100000\n9866 14831\n41938 63067\n62353 93535\n59084 88637\n31284 47116\n26673 40183\n91526 100000\n58187 87281\n30012 45212\n5928 8913\n27151 40889\n23735 35776\n35568 53489\n2491 3770\n95733 100000\n19019 28650\n99466 100000\n36785 55326\n77196 100000\n81224 100000\n50613 75988\n21725 32743\n45882 68921\n28293 42603\n38332 57678\n60316 90492\n11508 17318\n63240 94848\n59169 88761\n69186 100000\n96867 100000\n22705 34207\n26334 39672\n17359 26151\n36916 55520\n17166 25864\n68689 100000\n94720 100000\n16231 24457\n6796 10206\n48395 72671\n67232 100000\n19759 29758\n93865 100000\n45831 68849\n40776 61330\n72008 100000\n78855 100000\n68039 100000\n15336 23103\n61486 92249\n88718 100000\n94362 100000\n11739 17663\n67336 100000\n12225 18393\n43399 65246\n20995 31639\n98128 100000\n36789 55333\n37923 57043\n90703 100000\n9969 14990\n83416 100000\n94680 100000\n85926 100000\n35506 53408\n77098 100000\n69156 100000\n10707 16105\n17657 26606\n53076 79681\n7135 10715\n94916 100000\n44439 66786\n53282 79984\n20361 30657\n18755 28265\n24762 37323\n23452 35341\n59452 89190\n99257 100000\n6857 10295\n29830 44936\n87501 100000\n91709 100000\n43001 64638\n81475 100000\n238 340\n21425 32300\n35334 53149\n39194 58965\n65412 98111\n99278 100000\n70530 100000\n37641 56607\n77037 100000\n19235 28977\n64617 96916\n39383 59256\n56299 84461\n91055 100000\n79582 100000\n27331 41160\n3085 4664\n91654 100000\n52346 78583\n95797 100000\n22017 33194\n268 382\n42217 63477\n40869 61470\n76986 100000\n33553 50513\n46852 70376\n42259 63540\n95436 100000\n59043 88577\n50417 75688\n48899 73416\n93228 100000\n66460 99686\n6677 10025\n89536 100000\n75426 100000\n75472 100000\n99376 100000\n46469 69808\n55877 83830\n57204 85814\n7336 11020\n57791 86693\n54921 82399\n32192 48484\n22735 34253\n28246 42530\n83151 100000\n78316 100000\n54764 82160\n18586 28017\n81349 100000\n45360 68166\n2514 3804\n94309 100000\n51466 77245\n32710 49245\n83085 100000\n17361 26154\n73506 100000\n60249 90396\n97396 100000\n28577 43024\n50914 76438\n92095 100000\n64856 97275\n69802 100000\n78166 100000\n78900 100000\n42775 64302\n70041 100000\n11711 17624\n99442 100000\n89279 100000\n26616 40097\n55806 83731\n30757 46330\n31682 47711\n21392 32250\n6634 9958\n58232 87343\n48800 73274\n929 1389\n81017 100000\n17393 26199\n82220 100000\n46439 69764\n51046 76624\n87616 100000\n18849 28403\n3948 5958\n82991 100000\n75333 100000\n76654 100000\n12563 18899\n98796 100000\n10813 16265\n54656 81999\n65631 98447\n60553 90849\n69303 100000\n12462 18745\n23425 35300\n31905 48053\n14934 22490\n90414 100000\n55766 83671\n17199 25919\n59189 88791\n6749 10131\n64554 96824\n21585 32539\n64370 96547\n55072 82629\n13675 20589\n94937 100000\n54009 81041\n37671 56650\n82558 100000\n26007 39190\n30495 45935\n63687 95533\n44238 66481\n82397 100000\n46438 69762\n67028 100000\n21086 31780\n44751 67264\n71899 100000\n38541 57986\n47865 71893\n46712 70170\n83095 100000\n16259 24502\n95120 100000\n33397 50279\n43753 65755\n4733 7137\n57989 86991\n95925 100000\n41956 63096\n41346 62189\n67057 100000\n4042 6098\n48326 72567\n53700 80591\n42005 63167\n20352 30644\n99546 100000\n83774 100000\n98404 100000\n17716 26696\n57864 86797\n31915 48065\n52616 78990\n34744 52282\n90980 100000\n1668 2511\n67444 100000\n74429 100000\n95313 100000\n53963 80973\n39794 59866\n29388 44255\n47897 71941\n57963 86951\n72166 100000\n79883 100000\n70387 100000\n58844 88272\n65909 98848\n41534 62470\n22339 33669\n87205 100000\n23310 35129\n91341 100000\n29305 44133\n55551 83358\n37177 55914\n53758 80674\n84681 100000\n61208 91835\n7240 10875\n97799 100000\n63645 95471\n65790 98664\n59378 89078\n68408 100000\n75415 100000\n54337 81522\n72295 100000\n55320 83010\n10165 15291\n18317 27604\n60973 91480\n80792 100000\n30289 45632\n61639 92476\n49341 74093\n28507 42920\n13294 20023\n10687 16074\n2770 4196\n38105 57330\n91156 100000\n47599 71501\n49050 73646\n30492 45931\n53035 79619\n47182 70881\n9134 13725\n8596 12907\n93231 100000\n61125 91711\n92993 100000\n26594 40063\n80771 100000\n64453 96673\n44292 66563\n84242 100000\n97628 100000\n19066 28716\n73793 100000\n88988 100000\n8348 12532\n5301 7966\n50826 76304\n75509 100000\n76181 100000\n7894 11862\n15431 23248\n50349 75586\n54138 81222\n61167 91775\n78636 100000\n36926 55535\n76939 100000\n51920 77940\n86791 100000\n80835 100000\n69198 100000\n86130 100000\n9082 13646\n18966 28570\n95496 100000\n64610 96906\n47052 70691\n73400 100000\n32464 48884\n43746 65742\n61064 91614\n10550 15864\n20908 31506\n10717 16120\n80534 100000\n59144 88725\n22484 33882\n4581 6911\n34105 51342\n14081 21206\n59203 88812\n64710 97053\n23282 35086\n24753 37309\n17916 26993\n54446 81689\n8957 13459\n92558 100000\n44155 66360\n72 106\n38907 58534\n3241 4904\n34939 52562\n57026 85548\n57271 85921\n34157 51415\n96771 100000\n74005 100000\n8076 12135\n95035 100000\n11172 16810\n69378 100000\n45416 68245\n89776 100000\n38131 57367\n30856 46465\n45747 68723\n19696 29664\n55264 82925\n24650 37143\n91670 100000\n76111 100000\n36356 54683\n10792 16228\n56736 85118\n84481 100000\n96969 100000\n33717 50765\n8683 13039\n31644 47656\n55456 83219\n1716 2585\n87271 100000\n29638 44638\n8945 13439\n97772 100000\n63492 95227\n23513 35440\n71271 100000\n34761 52304\n20621 31059\n67478 100000\n95883 100000\n22516 33928\n90625 100000\n48499 72832\n90823 100000\n27668 41667\n71478 100000\n63924 95884\n59216 88828\n92443 100000\n57172 85767\n99571 100000\n85017 100000\n19689 29654\n83842 100000\n18562 27982\n29835 44942\n33313 50164\n11912 17921\n8577 12879\n26440 39838\n17015 25631\n52270 78465\n23239 35021\n5148 7746\n73572 100000\n68360 100000\n89774 100000\n69231 100000\n10950 16480\n94766 100000\n74196 100000\n15754 23730\n27310 41130\n34489 51906\n63187 94769\n73803 100000\n59009 88524\n51699 77608\n72315 100000\n80933 100000\n92910 100000\n61589 92398\n66409 99608\n68337 100000\n24156 36406\n17236 25975\n14924 22474\n77518 100000\n6203 9318\n60158 90259\n12084 18177\n94416 100000\n96535 100000\n40946 61581\n77786 100000\n44964 67575\n92003 100000\n21031 31692\n57882 86824\n45852 68877\n40039 60228\n65008 97501\n2072 3132\n81068 100000\n54884 82340\n78191 100000\n30334 45700\n62437 93656\n68619 100000\n55511 83300\n51582 77426\n73159 100000\n82687 100000\n37143 55864\n17318 26095\n83793 100000\n98826 100000\n74705 100000\n65144 97705\n54579 81891\n57594 86384\n14758 22216\n66256 99383\n69624 100000\n41171 61930\n69961 100000\n91010 100000\n20189 30402\n66374 99558\n74840 100000\n86345 100000\n42496 63895\n25631 38640\n45779 68771\n56968 85461\n13894 20926\n51404 77152\n62876 94296\n18848 28401\n5035 7579\n94883 100000\n16402 24708\n46859 70389\n43414 65264\n12636 19014\n45016 67651\n84159 100000\n67437 100000\n74644 100000\n90912 100000\n50733 76162\n79729 100000\n76838 100000\n62976 94444\n22354 33690\n63591 95386\n87808 100000\n95301 100000\n30149 45426\n90983 100000\n23946 36088\n72710 100000\n52634 79015\n13000 19582\n29441 44334\n75294 100000\n89762 100000\n66868 100000\n12279 18473\n25458 38373\n62744 94103\n47408 71214\n44962 67572\n12760 19210\n1425 2140\n89787 100000\n97930 100000\n37157 55884\n67550 100000\n46290 69544\n58089 87138\n27575 41525\n6383 9584\n66843 100000\n5006 7539\n70393 100000\n11159 16793\n89151 100000\n86354 100000\n41222 62008\n31407 47302\n72724 100000\n75631 100000\n55039 82576\n9044 13588\n92106 100000\n72517 100000\n94858 100000\n80977 100000\n98656 100000\n48525 72871\n14693 22119\n13823 20814\n32297 48643\n54827 82257\n48235 72437\n92208 100000\n96299 100000\n44863 67427\n33240 50057\n89654 100000\n33647 50658\n24358 36710\n42595 64043\n77001 100000\n60785 91213\n43709 65692\n72333 100000\n90075 100000\n13555 20409\n67753 100000\n66166 99248\n59119 88690\n29486 44402\n23373 35225\n10765 16190\n1358 2036\n68599 100000\n17038 25667\n84546 100000\n68170 100000\n64959 97425\n46358 69645\n66686 100000\n44724 67221\n86669 100000\n16209 24423\n24580 37037\n84210 100000\n81114 100000\n33087 49833\n91667 100000\n95827 100000\n20158 30360\n96579 100000\n88181 100000\n1972 2974\n95794 100000\n36861 55439\n65667 98496\n21490 32399\n91583 100000\n79194 100000\n7934 11921\n4585 6917\n61094 91664\n11697 17603\n2927 4432\n37843 56922\n43570 65494\n14452 21755\n92582 100000\n74962 100000\n19468 29323\n83289 100000\n77950 100000\n31386 47269\n95504 100000\n71571 100000\n98850 100000\n92185 100000\n6745 10125\n16279 24532\n40246 60525\n702 1052\n15712 23672\n16186 24390\n70135 100000\n57931 86903\n92022 100000\n41158 61913\n5701 8564\n10277 15460\n550 815\n8528 12801\n86198 100000\n73871 100000\n18762 28273\n23997 36173\n35910 54009\n9450 14206\n96924 100000\n6400 9608\n39189 58960\n92897 100000\n40762 61310\n37950 57085\n63215 94809\n5458 8197\n83831 100000\n13114 19756\n49281 73999\n87033 100000\n10509 15802\n18408 27739\n20756 31272\n73156 100000\n91976 100000\n10441 15705\n64788 97176\n89828 100000\n39010 58687\n30489 45928\n9729 14626\n40686 61191\n87415 100000\n25633 38643\n78988 100000\n71434 100000\n84170 100000\n24655 37151\n50068 75165\n26785 40345\n52581 78943\n95103 100000\n10320 15522\n48345 72599\n80773 100000\n23587 35554\n20162 30365\n7387 11101\n87209 100000\n93651 100000\n3465 5239\n71692 100000\n30232 45552\n40104 60323\n29460 44361\n61843 92778\n36027 54180\n57225 85846\n99500 100000\n8471 12719\n98135 100000\n71442 100000\n93359 100000\n60870 91329\n7306 10974\n51843 77831\n51423 77179\n51485 77275\n60962 91463\n57900 86852\n84997 100000\n80228 100000\n39482 59399\n87072 100000\n15050 22661\n91950 100000\n3365 5091\n18101 27270\n6905 10363\n29996 45187\n46556 69937\n73411 100000\n83845 100000\n26619 40100\n14286 21499\n76145 100000\n91400 100000\n53457 80238\n927 1386\n89221 100000\n42127 63347\n56680 85029\n12312 18522\n70053 100000\n76661 100000\n73650 100000\n18382 27702\n46882 70420\n8595 12906\n89206 100000\n87683 100000\n63131 94682\n26901 40527\n42548 63974\n90467 100000\n43759 65764\n85285 100000\n14632 22029\n60724 91116\n47923 71977\n89156 100000\n19199 28921\n73861 100000\n60497 90764\n90550 100000\n73772 100000\n11831 17799\n81811 100000\n95661 100000\n2862 4337\n60410 90640\n3843 5789\n35849 53920\n48552 72911\n89610 100000\n71353 100000\n83757 100000\n44720 67216\n78066 100000\n30819 46414\n62730 94084\n23075 34773\n5900 8868\n99908 100000\n65485 98231\n15243 22954\n1539 2310\n54509 81792\n91655 100000\n38438 57833\n69607 100000\n60314 90489\n94644 100000\n74376 100000\n43079 64758\n3321 5021\n20088 30256\n6270 9417\n20503 30877\n83127 100000\n95616 100000\n72792 100000\n80789 100000\n45308 68091\n1031 1539\n87614 100000\n52371 78619\n97439 100000\n68979 100000\n55241 82889\n10182 15316\n81984 100000\n86119 100000\n33407 50293\n50216 75393\n92532 100000\n24607 37081\n80986 100000\n12568 18907\n12308 18516\n15473 23310\n82810 100000\n5880 8838\n72707 100000\n66775 100000\n15681 23629\n91165 100000\n10101 15195\n92793 100000\n4643 7002\n47049 70687\n4297 6477\n72539 100000\n99703 100000\n12105 18208\n84889 100000\n98943 100000\n59726 89598\n44162 66370\n53708 80606\n71423 100000\n49333 74080\n25540 38494\n14793 22270\n66981 100000\n47991 72080\n91730 100000\n97494 100000\n35152 52883\n89384 100000\n87919 100000\n64630 96934\n78895 100000\n29242 44035\n25871 39002\n97623 100000\n80437 100000\n74571 100000\n42673 64159\n60503 90775\n67283 100000\n66774 100000\n41905 63017\n96018 100000\n71575 100000\n43093 64781\n87748 100000\n21485 32392\n24965 37634\n16285 24540\n66436 99650\n84322 100000\n73666 100000\n63624 95438\n35577 53501\n23038 34718\n65633 98449\n15932 24007\n26490 39913\n34086 51315\n2111 3192\n91188 100000\n82375 100000\n82828 100000\n45746 68721\n2486 3761\n21018 31677\n11462 17254\n92455 100000\n47716 71668\n77808 100000\n59805 89724\n43339 65154\n27242 41030\n59803 89720\n17774 26781\n70711 100000\n2417 3651\n5876 8833\n25902 39049\n83398 100000\n29301 44127\n36634 55106\n9891 14869\n71343 100000\n97538 100000\n59952 89944\n60090 90154\n67203 100000\n15609 23516\n23320 35144\n74427 100000\n95997 100000\n45529 68406\n57353 86044\n43234 64990\n35745 53763\n92944 100000\n12543 18870\n86155 100000\n17085 25739\n38068 57271\n46061 69192\n48992 73561\n30046 45264\n90155 100000\n86985 100000\n85392 100000\n41924 63046\n67246 100000\n20905 31502\n31256 47069\n58512 87755\n1598 2404\n22170 33419\n8374 12569\n78571 100000\n44097 66270\n78474 100000\n13709 20642\n90662 100000\n96160 100000\n80185 100000\n83038 100000\n2611 3949\n40152 60391\n15414 23225\n20733 31238\n33097 49849\n55167 82776\n44776 67302\n88145 100000\n50795 76258\n39570 59529\n26072 39286\n41953 63091\n93896 100000\n39083 58793\n97477 100000\n414 609\n40418 60791\n63161 94729\n30789 46373\n49941 74979\n4095 6178\n90462 100000\n21652 32643\n36168 54394\n37842 56920\n20106 30282\n89470 100000\n95466 100000\n81987 100000\n45339 68138\n32411 48805\n44982 67602\n16499 24852\n6058 9097\n78709 100000\n72140 100000\n66647 99957\n76024 100000\n63016 94502\n31659 47679\n30041 45257\n40724 61249\n82998 100000\n77961 100000\n74377 100000\n94867 100000\n86547 100000\n10412 15665\n74898 100000\n5136 7727\n21741 32766\n2254 3413\n67234 100000\n45575 68469\n95084 100000\n27650 41637\n30443 45861\n10095 15186\n56057 84107\n10947 16475\n28288 42595\n33592 50572\n91337 100000\n62833 94237\n43103 64796\n17259 26009\n11181 16822\n61968 92959\n78766 100000\n32044 48257\n93528 100000\n32880 49506\n81050 100000\n51185 76832\n2012 3039\n96500 100000\n23217 34992\n35420 53283\n68140 100000\n86916 100000\n31519 47472\n86172 100000\n33128 49892\n30587 46075\n39833 59924\n68061 100000\n42922 64524\n54542 81836\n58334 87501\n85186 100000\n21799 32860\n54052 81101\n381 557\n19833 29863\n67980 100000\n85237 100000\n53912 80900\n53617 80464\n16633 25054\n73877 100000\n88947 100000\n6290 9450\n1502 2254\n69414 100000\n92728 100000\n18128 27309\n53395 80149\n91488 100000\n70015 100000\n77620 100000\n38914 58545\n47810 71810\n33882 51019\n65301 97944\n87053 100000\n67089 100000\n99081 100000\n6139 9218\n63734 95603\n46276 69520\n67740 100000\n95508 100000\n36717 55222\n1384 2079\n62571 93856\n54164 81266\n2095 3166\n88667 100000\n34697 52213\n28141 42372\n66072 99097\n61779 92680\n43452 65318\n55589 83421\n54708 82075\n46811 70314\n80062 100000\n69197 100000\n94582 100000\n65919 98864\n92138 100000\n70389 100000\n62767 94141\n14368 21623\n83370 100000\n34790 52344\n9379 14095\n32488 48922\n53237 79921\n64420 96625\n50581 75935\n76525 100000\n21103 31805\n86218 100000\n58123 87189\n34099 51335\n21246 32024\n19844 29884\n11658 17544\n82903 100000\n21488 32397\n60650 90999\n5663 8503\n93869 100000\n45547 68431\n93379 100000\n22743 34264\n16474 24814\n49738 74684\n67140 100000\n51637 77514\n24122 36357\n93064 100000\n24085 36305\n64998 97482\n4240 6393\n92816 100000\n11554 17391\n67533 100000\n66679 100000\n99011 100000\n57397 86107\n90205 100000\n74581 100000\n95513 100000\n52972 79521\n2097 3169\n90098 100000\n22355 33691\n51291 76987\n34038 51241\n39704 59731\n73733 100000\n12964 19526\n24333 36672\n64023 96033\n94953 100000\n18006 27131\n35206 52966\n16985 25585\n871 1300\n54063 81117\n64239 96347\n41834 62912\n47838 71851\n84005 100000\n45559 68447\n24787 37364\n54062 81116\n19474 29333\n64458 96679\n49966 75012\n14438 21730\n97146 100000\n73434 100000\n76015 100000\n47258 70991\n13889 20917\n91423 100000\n11009 16569\n23228 35007\n9681 14550\n45720 68685\n13954 21011\n6671 10015\n75406 100000\n54697 82059\n78352 100000\n36660 55142\n52351 78590\n52336 78568\n29534 44477\n85902 100000\n3127 4731\n14327 21559\n80151 100000\n12671 19072\n34622 52097\n37087 55779\n17678 26638\n51227 76893\n9389 14112\n17986 27098\n38031 57214\n28500 42909\n28496 42903\n17713 26692\n94200 100000\n66474 99705\n49935 74970\n51686 77588\n42351 63675\n83214 100000\n21601 32564\n73854 100000\n57760 86640\n11566 17407\n99196 100000\n3930 5929\n17573 26477\n78931 100000\n22558 33989\n82398 100000\n69565 100000\n36099 54291\n35743 53760\n60076 90133\n72751 100000\n43188 64921\n38116 57345\n3574 5394\n53539 80353\n15008 22599\n68563 100000\n8044 12084\n77537 100000\n4641 6999\n64198 96289\n63165 94735\n50100 75216\n69986 100000\n89842 100000\n38412 57794\n99449 100000\n26858 40460\n15387 23184\n17092 25749\n82008 100000\n27020 40699\n82942 100000\n29128 43860\n11546 17377\n38720 58242\n67471 100000\n81805 100000\n84503 100000\n15851 23891\n82845 100000\n7766 11667\n78609 100000\n9846 14800\n18051 27195\n35507 53409\n54366 81571\n28583 43034\n66507 99754\n27584 41537\n49044 73636\n78687 100000\n29419 44298\n22498 33902\n64026 96038\n67917 100000\n18348 27651\n18800 28330\n74136 100000\n5915 8893\n53787 80713\n26761 40311\n40430 60806\n5583 8379\n35179 52925\n17687 26653\n54202 81325\n59754 89641\n56609 84922\n24340 36684\n37008 55662\n33381 50257\n61419 92154\n71947 100000\n35027 52692\n37541 56456\n17397 26206\n77653 100000\n48169 72331\n74725 100000\n42057 63244\n30070 45303\n30673 46206\n50916 76441\n52205 78372\n30908 46540\n70455 100000\n82232 100000\n38546 57993\n30413 45813\n63873 95812\n13938 20989\n86959 100000\n50673 76076\n74316 100000\n96304 100000\n9749 14654\n66958 100000\n89491 100000\n77282 100000\n50137 75277\n84600 100000\n15350 23130\n55745 83641\n85733 100000\n65835 98737\n15182 22864\n51479 77265\n94762 100000\n10483 15765\n77635 100000\n15688 23641\n47086 70744\n77461 100000\n13497 20323\n71928 100000\n55912 83886\n67424 100000\n49482 74304\n29117 43845\n41627 62603\n37802 56859\n80784 100000\n83501 100000\n47212 70926\n61520 92295\n41882 62982\n22604 34051\n27581 41533\n69621 100000\n42349 63672\n21437 32317\n4501 6788\n25087 37815\n82739 100000\n84526 100000\n49249 73953\n41181 61945\n71672 100000\n61469 92225\n31172 46945\n93306 100000\n7117 10685\n916 1369\n23770 35828\n3381 5115\n11834 17804\n72561 100000\n42501 63902\n48163 72322\n38211 57491\n14841 22342\n41858 62949\n78619 100000\n38651 58142\n69344 100000\n12761 19212\n76806 100000\n52582 78945\n42297 63596\n9713 14599\n12039 18105\n18438 27785\n53847 80803\n29641 44642\n93012 100000\n57741 86610\n38319 57660\n70906 100000\n67226 100000\n62699 94045\n84969 100000\n79235 100000\n86651 100000\n5896 8862\n18062 27211\n98305 100000\n9555 14365\n8127 12208\n70061 100000\n91210 100000\n606 907\n88794 100000\n68896 100000\n21829 32906\n35384 53225\n26116 39352\n17240 25981\n29828 44932\n42224 63489\n84870 100000\n46313 69578\n58444 87655\n17855 26898\n45349 68152\n91107 100000\n19248 28994\n40079 60286\n45146 67849\n48587 72955\n22794 34341\n55815 83745\n99949 100000\n37974 57121\n82436 100000\n86807 100000\n48875 73381\n37897 57007\n7976 11981\n44729 67228\n69237 100000\n15360 23144\n42309 63614\n53228 79908\n41378 62239\n42054 63241\n27238 41024\n44950 67553\n66223 99332\n39989 60151\n68659 100000\n48430 72722\n22325 33649\n21339 32174\n44585 67006\n94562 100000\n4278 6447\n84224 100000\n5991 9002\n39343 59192\n48524 72869\n16328 24603\n50336 75570\n45954 69032\n56941 85420\n58331 87496\n38709 58226\n67172 100000\n94114 100000\n31658 47677\n52049 78130\n55771 83678\n25114 37853\n31076 46792\n85476 100000\n62819 94218\n1065 1591\n26402 39778\n6243 9375\n56435 84662\n82213 100000\n12605 18965\n86070 100000\n22615 34069\n12400 18649\n31200 46990\n48265 72479\n30291 45635\n55314 83001\n18432 27776\n934 1394\n75640 100000\n2614 3954\n47756 71725\n11402 17160\n24512 36937\n24553 36995\n97872 100000\n60999 91521\n31922 48076\n2296 3475\n58184 87277\n50093 75205\n46828 70339\n86206 100000\n93033 100000\n55527 83323\n43270 65049\n32375 48756\n56583 84883\n48007 72102\n79683 100000\n74154 100000\n9672 14537\n28895 43510\n47825 71834\n21477 32381\n84295 100000\n63678 95521\n70700 100000\n42707 64208\n10225 15385\n68112 100000\n49161 73817\n55850 83796\n17804 26826\n59682 89529\n13556 20411\n53027 79609\n13791 20767\n3776 5699\n47823 71831\n75822 100000\n74062 100000\n87982 100000\n59626 89449\n33741 50800\n78235 100000\n81464 100000\n25702 38748\n58158 87237\n5286 7945\n68848 100000\n78659 100000\n64445 96662\n42272 63558\n54831 82262\n26325 39657\n74537 100000\n54322 81501\n31361 47231\n3512 5305\n64956 97421\n17348 26136\n55816 83746\n48982 73547\n56856 85290\n37748 56773\n76056 100000\n87331 100000\n72498 100000\n26714 40239\n52652 79038\n39142 58887\n91987 100000\n62821 94221\n73367 100000\n74729 100000\n27553 41492\n35544 53456\n86180 100000\n62790 94171\n93482 100000\n43485 65366\n82500 100000\n88455 100000\n22716 34223\n35601 53538\n87994 100000\n74283 100000\n80673 100000\n49702 74630\n33708 50751\n73973 100000\n14482 21802\n90135 100000\n12227 18396\n15798 23803\n75175 100000\n44632 67078\n56612 84927\n31214 47009\n87230 100000\n28590 43045\n57372 86072\n78569 100000\n12134 18255\n48379 72649\n46283 69532\n15515 23376\n95401 100000\n29457 44357\n2500 3783\n69255 100000\n73175 100000\n16844 25361\n61273 91934\n40219 60487\n98260 100000\n87977 100000\n35361 53192\n8726 13106\n33478 50401\n57898 86850\n45105 67791\n8440 12666\n54875 82328\n13546 20394\n84702 100000\n95474 100000\n57283 85939\n88772 100000\n24723 37265\n66600 99894\n76491 100000\n58872 88313\n10718 16122\n5347 8032\n79459 100000\n62411 93619\n63953 95923\n7185 10796\n97532 100000\n859 1284\n85278 100000\n71034 100000\n47916 71966\n17224 25958\n48738 73183\n27834 41910\n3046 4607\n1321 1978\n72174 100000\n78584 100000\n73165 100000\n49812 74789\n971 1450\n47342 71116\n3847 5796\n7838 11774\n68923 100000\n77583 100000\n39720 59754\n44650 67107\n56175 84285\n64847 97262\n79947 100000\n15647 23575\n88743 100000\n74579 100000\n56823 85240\n60105 90177\n27303 41119\n34425 51812\n88068 100000\n69789 100000\n14448 21747\n76910 100000\n48930 73465\n56991 85497\n74284 100000\n54046 81094\n46578 69971\n1854 2800\n52605 78976\n40281 60583\n12819 19308\n365 533\n62016 93033\n74884 100000\n70670 100000\n53964 80975\n11382 17128\n14073 21195\n81741 100000\n58302 87450\n91550 100000\n36798 55346\n7655 11502\n89108 100000\n8529 12803\n52011 78076\n49825 74810\n71366 100000\n58137 87209\n1102 1642\n31552 47523\n19420 29248\n36969 55601\n18874 28436\n70008 100000\n68416 100000\n9271 13933\n63282 94911\n37503 56399\n54000 81029\n64730 97086\n36534 54950\n72056 100000\n26916 40551\n89779 100000\n11789 17739\n52218 78392\n27671 41671\n67260 100000\n30619 46122\n78430 100000\n501 741\n20335 30618\n25939 39101\n88286 100000\n24968 37638\n45246 67997\n95642 100000\n59248 88877\n59985 89993\n17660 26612\n7772 11674\n82336 100000\n79723 100000\n96608 100000\n95989 100000\n95499 100000\n82199 100000\n99674 100000\n29951 45118\n36750 55273\n10767 16193\n71557 100000\n31465 47393\n94652 100000\n21914 33040\n62464 93694\n23250 35037\n16725 25189\n74650 100000\n94552 100000\n1518 2277\n5275 7927\n57819 86728\n13240 19942\n83256 100000\n7116 10684\n59770 89666\n71226 100000\n35224 52992\n78272 100000\n57880 86822\n15021 22619\n19651 29595\n56215 84343\n75951 100000\n86630 100000\n31371 47246\n13662 20570\n20666 31126\n43975 66094\n22208 33476\n22189 33445\n42761 64283\n40611 61080\n39730 59771\n6183 9286\n87882 100000\n52674 79072\n53704 80598\n87699 100000\n33151 49924\n42859 64427\n68574 100000\n83643 100000\n87228 100000\n4915 7412\n41310 62138\n5518 8283\n55480 83255\n10500 15790\n96718 100000\n21396 32257\n6212 9331\n41100 61819\n59587 89392\n31145 46903\n64459 96680\n64178 96258\n98784 100000\n56152 84247\n52647 79032\n1597 2403\n56803 85208\n34331 51678\n37519 56421\n68978 100000\n81510 100000\n30101 45353\n40323 60646\n53497 80290\n78670 100000\n5447 8178\n15684 23635\n87513 100000\n22077 33286\n98296 100000\n64855 97273\n90729 100000\n12661 19053\n5814 8733\n11238 16907\n5022 7561\n59600 89412\n51358 77081\n27540 41475\n51998 78058\n8410 12625\n41162 61919\n22640 34106\n49543 74399\n37953 57090\n55126 82714\n46302 69563\n73258 100000\n14076 21198\n50395 75654\n20457 30804\n22213 33484\n18791 28316\n60444 90686\n61644 92483\n41761 62805\n89810 100000\n47830 71840\n47903 71949\n1076 1607\n86914 100000\n51044 76621\n35399 53249\n50744 76181\n7045 10576\n8878 13339\n96244 100000\n31809 47904\n62390 93586\n7289 10949\n79671 100000\n29098 43820\n34282 51607\n79113 100000\n34139 51389\n41991 63147\n69393 100000\n95859 100000\n16739 25209\n66095 99135\n67330 100000\n10328 15533\n59006 88518\n90539 100000\n29010 43686\n61591 92402\n47061 70703\n82367 100000\n38261 57568\n1092 1628\n53415 80177\n8042 12080\n465 686\n24967 37636\n74203 100000\n56234 84369\n29134 43868\n67831 100000\n3132 4739\n84056 100000\n75553 100000\n24864 37484\n60213 90340\n7549 11345\n73944 100000\n38935 58578\n18622 28071\n48463 72769\n35225 52993\n80849 100000\n92765 100000\n35241 53017\n27700 41712\n99433 100000\n41812 62879\n67060 100000\n78827 100000\n10594 15928\n34831 52409\n92729 100000\n85011 100000\n17394 26201\n49864 74869\n19875 29934\n97524 100000\n47812 71813\n38141 57385\n19772 29773\n10493 15779\n41213 61996\n26127 39368\n90000 100000\n10994 16548\n21968 33127\n56834 85260\n64995 97477\n5929 8915\n30946 46598\n60489 90755\n28190 42448\n60524 90808\n24195 36466\n61986 92989\n14149 21309\n60041 90077\n93386 100000\n82622 100000\n86736 100000\n43044 64705\n26422 39809\n47602 71506\n70327 100000\n30628 46134\n93456 100000\n57131 85705\n62782 94162\n23180 34938\n17049 25684\n15445 23268\n9471 14239\n81619 100000\n99591 100000\n54306 81476\n2278 3448\n96918 100000\n62482 93721\n38668 58167\n53333 80061\n51432 77192\n6 9\n73038 100000\n33849 50963\n974 1455\n33434 50335\n49085 73698\n17637 26579\n63911 95864\n41134 61875\n18017 27143\n19945 30040\n12849 19344\n69804 100000\n17365 26158\n60812 91249\n26271 39576\n15179 22861\n69109 100000\n31345 47207\n23338 35170\n32201 48498\n8152 12250\n5066 7626\n78194 100000\n79391 100000\n791 1185\n36271 54551\n95984 100000\n27005 40679\n67701 100000\n74269 100000\n43205 64947\n98624 100000\n19154 28853\n29507 44433\n91973 100000\n3153 4768\n52711 79126\n76599 100000\n24251 36549\n1220 1825\n90139 100000\n36088 54275\n43971 66087\n57399 86110\n43058 64729\n51736 77666\n8325 12502\n37448 56318\n94049 100000\n15761 23743\n3702 5587\n24487 36900\n20877 31459\n93766 100000\n42230 63498\n1281 1922\n95632 100000\n53160 79809\n35613 53558\n34630 52111\n47274 71013\n73587 100000\n23402 35263\n27966 42099\n84711 100000\n61873 92821\n89063 100000\n53431 80203\n19503 29377\n39344 59194\n14692 22118\n67728 100000\n77632 100000\n534 790\n46535 69905\n73298 100000\n69585 100000\n74448 100000\n67311 100000\n59565 89361\n7539 11328\n35113 52827\n61356 92057\n29689 44719\n88228 100000\n44525 66918\n30745 46315\n15910 23974\n83514 100000\n19365 29170\n42833 64387\n82642 100000\n53373 80117\n42913 64510\n91620 100000\n59158 88746\n39452 59351\n21866 32963\n63444 95152\n41767 62814\n48743 73190\n91540 100000\n66234 99350\n44149 66352\n5351 8038\n79932 100000\n45262 68023\n1884 2841\n19815 29833\n20075 30236\n80364 100000\n86280 100000\n38711 58228\n56661 84999\n75031 100000\n24339 36683\n20957 31578\n7016 10531\n71325 100000\n19267 29025\n91252 100000\n68155 100000\n69526 100000\n52615 78989\n14705 22135\n30751 46322\n44594 67020\n14130 21281\n23841 35936\n52409 78676\n27613 41583\n9789 14715\n37836 56911\n88707 100000\n62517 93768\n4260 6420\n22299 33610\n3416 5166\n90020 100000\n84753 100000\n4798 7236\n68247 100000\n19678 29637\n6628 9946\n79295 100000\n52129 78256\n53058 79652\n17857 26901\n85003 100000\n12094 18191\n68233 100000\n76519 100000\n98756 100000\n93667 100000\n99443 100000\n17975 27081\n56463 84704\n64728 97083\n1207 1806\n67096 100000\n51528 77345\n15960 24047\n45578 68472\n7980 11986\n70413 100000\n6220 9345\n53186 79843\n61543 92330\n78137 100000\n81963 100000\n64003 96000\n17827 26859\n50879 76382\n25010 37696\n34013 51206\n10071 15152\n7059 10597\n82363 100000\n39715 59748\n99205 100000\n40428 60803\n20955 31574\n41006 61675\n42372 63707\n32583 49068\n18015 27141\n55324 83017\n27083 40787\n89097 100000\n84715 100000\n79853 100000\n95303 100000\n98580 100000\n40114 60336\n19015 28646\n81411 100000\n74317 100000\n6438 9667\n38492 57908\n60057 90103\n79673 100000\n78997 100000\n57834 86751\n96187 100000\n10536 15841\n26173 39435\n82883 100000\n6475 9724\n95899 100000\n2041 3083\n66159 99238\n88967 100000\n77227 100000\n7480 11248\n94349 100000\n14923 22473\n20377 30680\n29983 45170\n78344 100000\n4389 6618\n71512 100000\n38770 58324\n54278 81438\n10292 15480\n92416 100000\n81577 100000\n57513 86274\n72062 100000\n20999 31645\n97225 100000\n91070 100000\n84448 100000\n85092 100000\n33230 50038\n7004 10515\n82095 100000\n54612 81937\n17458 26303\n1167 1742\n5938 8926\n91840 100000\n94515 100000\n97279 100000\n18653 28117\n62896 94326\n4325 6523\n18286 27556\n59193 88797\n98192 100000\n63828 95744\n75954 100000\n94796 100000\n96884 100000\n3090 4671\n27390 41246\n34760 52302\n78838 100000\n19565 29467\n8398 12605\n93378 100000\n64799 97194\n57286 85945\n85279 100000\n94299 100000\n98603 100000\n52242 78424\n60505 90778\n29371 44231\n37481 56369\n73173 100000\n14280 21490\n33483 50408\n85005 100000\n93053 100000\n2947 4459\n98427 100000\n10270 15450\n94494 100000\n15723 23687\n31074 46789\n26296 39616\n88562 100000\n80415 100000\n31784 47867\n56360 84550\n41272 62077\n50243 75432\n81292 100000\n47925 71980\n57740 86608\n27863 41954\n33922 51076\n33314 50165\n38885 58501\n39020 58701\n4237 6388\n88915 100000\n47703 71649\n79285 100000\n42730 64241\n18694 28178\n14698 22124\n21369 32221\n82491 100000\n30005 45201\n23826 35913\n48751 73202\n46158 69339\n24736 37284\n78079 100000\n47667 71598\n52500 78809\n75427 100000\n24910 37556\n89568 100000\n59817 89743\n54949 82443\n21641 32626\n27720 41741\n59798 89711\n17314 26090\n2107 3187\n62710 94059\n15868 23913\n83439 100000\n99462 100000\n53838 80792\n95525 100000\n44332 66623\n18323 27614\n30985 46660\n50860 76354\n69617 100000\n49516 74359\n32284 48624\n38654 58147\n4049 6109\n83169 100000\n11184 16826\n58641 87949\n91452 100000\n98813 100000\n84667 100000\n30564 46039\n31558 47531\n98844 100000\n73689 100000\n48141 72290\n64705 97045\n20830 31389\n26585 40051\n51622 77488\n35031 52697\n76309 100000\n40120 60344\n52787 79239\n27947 42076\n17881 26938\n36713 55216\n4568 6890\n55633 83482\n10783 16214\n7221 10847\n74512 100000\n74477 100000\n76470 100000\n97047 100000\n61037 91576\n58447 87659\n51028 76599\n95486 100000\n5782 8682\n14264 21467\n61253 91903\n3314 5011\n63020 94507\n39723 59758\n31737 47796\n67777 100000\n35773 53803\n97977 100000\n71382 100000\n61061 91611\n79290 100000\n75336 100000\n14842 22343\n48464 72771\n88907 100000\n1612 2424\n13809 20793\n37626 56584\n74329 100000\n99455 100000\n64665 96987\n81654 100000\n64916 97362\n7310 10980\n75271 100000\n70635 100000\n27445 41330\n80058 100000\n23871 35982\n28673 43171\n24665 37166\n63935 95898\n16042 24173\n59942 89930\n11636 17506\n86336 100000\n80124 100000\n33336 50194\n4980 7502\n59924 89905\n52733 79157\n72552 100000\n90243 100000\n72023 100000\n2852 4322\n4831 7285\n65948 98911\n30741 46308\n5479 8228\n92855 100000\n44244 66490\n29424 44307\n9270 13931\n57603 86395\n39485 59404\n84723 100000\n14991 22577\n12988 19563\n27953 42084\n59904 89874\n99986 100000\n86900 100000\n44747 67257\n27075 40774\n59751 89637\n14963 22536\n59102 88665\n20253 30495\n49330 74075\n81794 100000\n18318 27606\n85687 100000\n28425 42796\n34269 51585\n7493 11267\n86945 100000\n9435 14183\n73835 100000\n88615 100000\n36809 55362\n39966 60114\n99010 100000\n28792 43358\n74708 100000\n35647 53607\n8157 12258\n72939 100000\n5841 8776\n12048 18119\n89121 100000\n10612 15954\n69122 100000\n67908 100000\n88173 100000\n54011 81043\n73925 100000\n37810 56873\n88437 100000\n21238 32011\n77363 100000\n12161 18300\n8563 12854\n30802 46391\n51659 77545\n30104 45356\n30479 45912\n36765 55296\n51997 78057\n17757 26755\n75212 100000\n41430 62317\n57635 86446\n29194 43967\n14381 21643\n49585 74465\n68282 100000\n29468 44374\n60569 90875\n14860 22374\n41003 61672\n39338 59185\n40319 60639\n92599 100000\n69988 100000\n14635 22034\n1823 2751\n9489 14265\n7624 11454\n6813 10227\n73542 100000\n31654 47669\n7061 10601\n9885 14859\n89248 100000\n35144 52871\n83882 100000\n25185 37953\n65817 98709\n19653 29598\n37570 56499\n40520 60943\n75581 100000\n10507 15800\n46810 70312\n43464 65334\n50152 75301\n75795 100000\n11253 16931\n43681 65653\n67132 100000\n93494 100000\n45528 68405\n52408 78675\n6617 9927\n19799 29810\n83008 100000\n84531 100000\n68521 100000\n34187 51462\n35332 53147\n75636 100000\n72040 100000\n3238 4898\n67106 100000\n37895 57004\n96841 100000\n81517 100000\n68129 100000\n75926 100000\n18209 27440\n81445 100000\n87035 100000\n57792 86694\n73567 100000\n60972 91479\n65844 98749\n17547 26438\n81697 100000\n59297 88956\n22892 34487\n26300 39623\n69358 100000\n24086 36306\n31315 47161\n29286 44102\n68951 100000\n98739 100000\n6998 10507\n6685 10037\n25604 38594\n97160 100000\n28653 43138\n54044 81090\n35567 53488\n41445 62336\n96211 100000\n379 553\n86455 100000\n53255 79944\n68311 100000\n35866 53945\n39647 59646\n39825 59913\n78246 100000\n62643 93959\n7868 11821\n5068 7628\n10532 15835\n21196 31948\n19884 29949\n9484 14260\n97127 100000\n57468 86210\n1565 2349\n62273 93420\n6005 9021\n18073 27226\n96868 100000\n99484 100000\n59774 89673\n90791 100000\n91919 100000\n21840 32924\n66776 100000\n19786 29791\n52095 78198\n93021 100000\n18159 27355\n24180 36443\n98946 100000\n86273 100000\n5465 8206\n60996 91516\n52516 78835\n80960 100000\n14109 21249\n15327 23087\n53874 80845\n48408 72690\n55597 83432\n14862 22378\n80706 100000\n1922 2898\n70502 100000\n32687 49214\n54402 81622\n83755 100000\n42107 63318\n60391 90609\n24439 36835\n73346 100000\n22854 34431\n61691 92552\n58049 87080\n67384 100000\n23397 35256\n85181 100000\n29031 43719\n64871 97297\n42290 63587\n4184 6313\n54590 81908\n22957 34592\n69716 100000\n11571 17412\n6264 9409\n85303 100000\n87884 100000\n15128 22780\n90242 100000\n90888 100000\n6619 9931\n75464 100000\n87043 100000\n6376 9573\n86943 100000\n52226 78402\n21834 32915\n89624 100000\n89319 100000\n55329 83025\n55443 83200\n33533 50482\n70985 100000\n50276 75481\n43648 65610\n19774 29775\n66503 99749\n82090 100000\n83472 100000\n56897 85354\n45888 68930\n80573 100000\n58050 87081\n82043 100000\n82819 100000\n45678 68621\n40073 60278\n33733 50787\n54020 81060\n70346 100000\n70857 100000\n87653 100000\n37563 56489\n26336 39674\n36927 55537\n40227 60499\n34637 52123\n46907 70456\n77365 100000\n54079 81139\n97421 100000\n58440 87649\n53483 80270\n70060 100000\n68138 100000\n57258 85901\n36553 54980\n90088 100000\n24000 36178\n76407 100000\n99678 100000\n16126 24305\n67965 100000\n30300 45649\n55204 82833\n38043 57233\n70330 100000\n73769 100000\n71840 100000\n93809 100000\n60176 90288\n31480 47413\n8925 13408\n33253 50075\n69720 100000\n74538 100000\n14269 21475\n85100 100000\n67704 100000\n97137 100000\n15301 23044\n53843 80797\n67274 100000\n62836 94240\n49481 74302\n91960 100000\n82447 100000\n57364 86060\n79134 100000\n48454 72755\n55781 83692\n60739 91141\n67988 100000\n82695 100000\n64432 96639\n12295 18496\n10975 16521\n86613 100000\n91820 100000\n11427 17198\n68504 100000\n19687 29651\n17413 26230\n77050 100000\n15319 23073\n27797 41857\n75906 100000\n5443 8173\n38650 58140\n53378 80122\n50918 76443\n3953 5967\n84674 100000\n96143 100000\n94297 100000\n22632 34094\n83743 100000\n20619 31056\n58803 88210\n11239 16909\n43820 65860\n93798 100000\n62650 93972\n27775 41826\n87345 100000\n42450 63830\n84995 100000\n6709 10071\n19770 29771\n8714 13085\n62978 94446\n94871 100000\n87009 100000\n41374 62234\n11941 17960\n71050 100000\n81598 100000\n80592 100000\n31860 47984\n90136 100000\n97147 100000\n77767 100000\n58814 88228\n8263 12408\n46939 70510\n88640 100000\n82055 100000\n44273 66537\n39612 59592\n47281 71026\n95903 100000\n78993 100000\n75549 100000\n33181 49966\n9363 14070\n17801 26820\n79755 100000\n79595 100000\n65713 98560\n46436 69760\n28357 42695\n10680 16063\n12598 18954\n63670 95509\n17725 26711\n39297 59118\n34216 51503\n88670 100000\n79815 100000\n63488 95219\n68870 100000\n29411 44285\n84548 100000\n86324 100000\n29836 44944\n51557 77389\n14071 21192\n15729 23694\n73330 100000\n94651 100000\n16599 25000\n80984 100000\n44365 66675\n40206 60468\n57022 85543\n93930 100000\n56285 84440\n39829 59917\n70203 100000\n39411 59296\n22293 33601\n4620 6967\n83283 100000\n52984 79539\n2552 3861\n83930 100000\n5246 7887\n25165 37923\n14933 22488\n28945 43585\n67545 100000\n13858 20869\n87275 100000\n205 296\n66858 100000\n95122 100000\n98893 100000\n98606 100000\n97965 100000\n91734 100000\n14354 21602\n77770 100000\n56336 84515\n83132 100000\n60329 90513\n75004 100000\n29714 44756\n14364 21616\n91029 100000\n46145 69318\n64244 96356\n32915 49562\n36466 54849\n2394 3619\n70052 100000\n59391 89098\n87220 100000\n30962 46624\n65907 98845\n13535 20375\n17154 25847\n82490 100000\n43592 65526\n51313 77015\n7998 12013\n26719 40247\n73725 100000\n37521 56424\n17059 25699\n60348 90543\n27420 41290\n37798 56852\n10051 15122\n83527 100000\n75150 100000\n92470 100000\n92509 100000\n73562 100000\n6100 9157\n49973 75021\n74160 100000\n43843 65890\n95517 100000\n17720 26702\n5931 8918\n3665 5531\n7207 10827\n25399 38280\n85083 100000\n21043 31710\n75411 100000\n94874 100000\n12791 19261\n68324 100000\n85945 100000\n79583 100000\n65614 98419\n89127 100000\n41637 62620\n38495 57913\n48220 72414\n41686 62693\n83494 100000\n63132 94684\n2096 3167\n44033 66179\n10316 15516\n41261 62058\n78222 100000\n60733 91132\n36419 54777\n68341 100000\n39465 59372\n2207 3343\n39797 59871\n43830 65874\n2738 4141\n28977 43635\n22605 34052\n55535 83334\n44078 66241\n95542 100000\n96178 100000\n30019 45224\n2237 3386\n19373 29180\n80810 100000\n90559 100000\n84189 100000\n14320 21548\n64984 97461\n11394 17147\n97169 100000\n18863 28420\n17584 26496\n35229 52999\n56049 84093\n11942 17961\n88509 100000\n64287 96420\n34429 51818\n33189 49978\n31215 47010\n57591 86380\n64593 96882\n30897 46524\n26048 39249\n5785 8686\n57733 86596\n26101 39328\n74711 100000\n8228 12358\n41594 62553\n96000 100000\n87924 100000\n85338 100000\n35902 53995\n35836 53898\n74885 100000\n24076 36291\n31909 48058\n10233 15396\n67842 100000\n4332 6535\n38217 57502\n90945 100000\n13192 19871\n10520 15820\n69034 100000\n98820 100000\n53396 80150\n89522 100000\n7386 11099\n74911 100000\n49065 73671\n33011 49718\n17766 26768\n56625 84946\n38415 57799\n62590 93881\n85712 100000\n51845 77834\n86851 100000\n39469 59380\n34365 51723\n68027 100000\n30668 46198\n47503 71360\n24346 36693\n73365 100000\n53118 79743\n39100 58819\n40802 61369\n11938 17956\n96593 100000\n95067 100000\n97739 100000\n93009 100000\n65640 98459\n15079 22707\n82277 100000\n33903 51046\n42946 64559\n93171 100000\n86165 100000\n10117 15219\n43675 65646\n46879 70415\n91054 100000\n42690 64181\n46242 69465\n4874 7348\n32208 48509\n29190 43960\n2903 4400\n54824 82253\n140 203\n16902 25453\n8113 12186\n1117 1664\n704 1055\n55137 82729\n41270 62074\n63689 95536\n89716 100000\n6263 9407\n94131 100000\n50757 76199\n80564 100000\n23440 35323\n93050 100000\n92660 100000\n1256 1881\n36724 55231\n27748 41785\n74468 100000\n13943 20996\n69079 100000\n84165 100000\n35493 53390\n78728 100000\n85723 100000\n56575 84868\n62936 94384\n8109 12181\n56585 84885\n37695 56686\n16165 24360\n26145 39396\n256 362\n18204 27431\n6807 10219\n97255 100000\n55851 83798\n24083 36303\n64543 96807\n69941 100000\n49361 74123\n92378 100000\n96465 100000\n9792 14721\n64468 96692\n84905 100000\n25671 38701\n86029 100000\n74749 100000\n4425 6671\n94346 100000\n53184 79841\n88411 100000\n56293 84452\n88392 100000\n97159 100000\n95861 100000\n91144 100000\n30378 45762\n33103 49857\n61072 91628\n73841 100000\n67074 100000\n9926 14925\n57533 86302\n81904 100000\n20293 30557\n49003 73576\n75301 100000\n18111 27286\n50670 76071\n72551 100000\n26870 40478\n21781 32831\n19837 29870\n2401 3629\n77546 100000\n60722 91112\n44098 66271\n89902 100000\n87212 100000\n34540 51977\n84620 100000\n1183 1765\n73284 100000\n33194 49984\n42161 63396\n803 1202\n63998 95991\n3753 5666\n20601 31026\n48659 73062\n61803 92716\n68683 100000\n7308 10977\n42190 63438\n78319 100000\n89295 100000\n65964 98936\n93447 100000\n85393 100000\n92346 100000\n45088 67763\n66182 99272\n7908 11885\n78698 100000\n46434 69757\n60791 91222\n36867 55448\n47755 71724\n94394 100000\n42265 63547\n55714 83598\n59027 88552\n51804 77770\n61836 92766\n1862 2810\n89130 100000\n9479 14252\n78391 100000\n8354 12541\n87988 100000\n21112 31820\n93281 100000\n2803 4251\n81222 100000\n33991 51174\n5817 8738\n42267 63550\n27257 41053\n97194 100000\n95404 100000\n35528 53436\n4879 7356\n7241 10876\n49563 74431\n14804 22286\n45311 68094\n33374 50246\n3736 5637\n95471 100000\n47901 71946\n10871 16351\n20576 30987\n83066 100000\n6152 9237\n99771 100000\n99916 100000\n20558 30961\n71303 100000\n46441 69768\n93937 100000\n51071 76662\n71874 100000\n22313 33631\n94601 100000\n43809 65843\n74267 100000\n1602 2409\n5445 8176\n94516 100000\n20795 31335\n17327 26108\n13274 19994\n53083 79692\n45091 67768\n19449 29291\n88681 100000\n77354 100000\n63789 95686\n20847 31416\n57505 86260\n22814 34367\n35294 53091\n85779 100000\n20080 30242\n48377 72646\n53837 80790\n33767 50840\n66882 100000\n62918 94357\n26533 39972\n54611 81936\n47192 70897\n29743 44805\n79602 100000\n45686 68634\n9300 13972\n12764 19217\n38064 57265\n89646 100000\n89487 100000\n20414 30740\n64245 96358\n22755 34282\n95108 100000\n7921 11902\n94886 100000\n75883 100000\n98279 100000\n96355 100000\n22992 34649\n47392 71191\n14303 21526\n23345 35182\n48088 72220\n7215 10839\n57675 86503\n42289 63585\n57769 86655\n62696 94041\n18446 27798\n2249 3406\n9973 14997\n24353 36703\n41070 61774\n34891 52491\n11616 17477\n40746 61286\n71482 100000\n24415 36796\n74445 100000\n56178 84288\n38959 58611\n93875 100000\n66759 100000\n66191 99285\n51496 77293\n2037 3078\n37255 56032\n99555 100000\n69859 100000\n53026 79607\n16768 25251\n13918 20960\n70783 100000\n9139 13733\n22426 33797\n86018 100000\n29220 44003\n85950 100000\n20447 30791\n87732 100000\n27564 41509\n48046 72160\n83380 100000\n40092 60304\n97142 100000\n27253 41046\n55937 83922\n75499 100000\n23880 35997\n83883 100000\n48678 73091\n28026 42188\n20961 31585\n14107 21245\n22016 33192\n76087 100000\n40166 60412\n17435 26267\n23455 35345\n78859 100000\n31151 46912\n65001 97487\n99391 100000\n40600 61066\n70640 100000\n73939 100000\n41798 62855\n28430 42805\n75632 100000\n17311 26085\n88330 100000\n15294 23034\n11014 16575\n68865 100000\n58028 87045\n28810 43385\n9980 15010\n70228 100000\n6066 9107\n91073 100000\n62331 93503\n42232 63501\n80980 100000\n1744 2628\n83492 100000\n45758 68739\n43683 65657\n85948 100000\n49129 73767\n48897 73414\n64084 96121\n95809 100000\n76934 100000\n48245 72449\n38637 58122\n54188 81303\n80991 100000\n29748 44813\n42366 63700\n29390 44258\n78902 100000\n55262 82921\n17018 25634\n87324 100000\n77916 100000\n948 1415\n43601 65541\n11263 16948\n49313 74049\n48974 73535\n2821 4278\n24037 36235\n19909 29985\n39178 58942\n41145 61892\n49441 74240\n21345 32185\n76660 100000\n99247 100000\n61304 91984\n65546 98317\n67495 100000\n64235 96340\n58448 87660\n15251 22967\n13914 20955\n44935 67529\n71064 100000\n44094 66265\n31003 46686\n21350 32191\n67539 100000\n76509 100000\n37777 56819\n16578 24966\n98225 100000\n26481 39899\n80605 100000\n73318 100000\n23029 34704\n53169 79820\n57692 86531\n49419 74208\n68060 100000\n50371 75618\n58235 87349\n57509 86267\n78811 100000\n86123 100000\n68185 100000\n78492 100000\n17543 26431\n82736 100000\n35176 52921\n51084 76680\n99007 100000\n47354 71135\n70618 100000\n50959 76498\n1163 1734\n42743 64259\n76462 100000\n90168 100000\n17068 25715\n73762 100000\n62952 94408\n54649 81990\n84061 100000\n5488 8240\n67656 100000\n61303 91983\n82070 100000\n60969 91474\n46569 69958\n34957 52585\n17979 27086\n17035 25661\n49764 74722\n24381 36747\n93822 100000\n39626 59613\n24411 36790\n1040 1553\n20872 31452\n56456 84694\n21586 32540\n96948 100000\n4842 7303\n78956 100000\n74230 100000\n32259 48581\n17479 26334\n3714 5606\n3150 4763\n73592 100000\n35398 53248\n21999 33167\n1933 2916\n34649 52141\n9769 14685\n99577 100000\n4711 7102\n45645 68575\n73103 100000\n97774 100000\n541 800\n60094 90160\n36199 54438\n64083 96119\n33583 50560\n52913 79435\n47013 70629\n58490 87723\n32020 48219\n22691 34184\n68 99\n45603 68512\n73946 100000\n73332 100000\n65755 98620\n31366 47239\n52239 78420\n17951 27044\n88417 100000\n19404 29227\n26354 39704\n79656 100000\n47893 71936\n8278 12431\n49676 74597\n99076 100000\n23387 35243\n72147 100000\n93287 100000\n42292 63590\n96002 100000\n29647 44650\n45568 68458\n7955 11953\n63459 95176\n23658 35659\n63423 95124\n78871 100000\n80253 100000\n40544 60983\n43053 64720\n27878 41976\n99129 100000\n62850 94258\n42121 63338\n62772 94147\n85161 100000\n12500 18805\n10184 15320\n35025 52689\n42899 64488\n69946 100000\n5321 7993\n15701 23659\n69521 100000\n57631 86441\n62644 93961\n14831 22327\n68613 100000\n37572 56502\n56574 84867\n19661 29609\n90246 100000\n95986 100000\n13786 20759\n40019 60196\n55158 82765\n98745 100000\n95940 100000\n48938 73478\n48814 73295\n53687 80570\n66277 99415\n39599 59573\n27097 40808\n47484 71330\n41431 62318\n35451 53330\n78423 100000\n20108 30284\n25209 37989\n93174 100000\n30287 45630\n71989 100000\n55436 83189\n97484 100000\n69628 100000\n74274 100000\n7808 11728\n7715 11591\n44928 67516\n41590 62547\n3214 4864\n96449 100000\n6506 9769\n50401 75662\n48035 72144\n75802 100000\n86513 100000\n29216 43997\n52051 78132\n9542 14346\n30520 45973\n5370 8065\n58231 87342\n77319 100000\n19948 30044\n75145 100000\n33248 50069\n63145 94705\n19779 29782\n61271 91931\n2331 3524\n93227 100000\n22162 33408\n93219 100000\n61505 92276\n53293 80002\n77412 100000\n12417 18678\n20561 30964\n97931 100000\n26426 39814\n33480 50404\n98049 100000\n32338 48704\n48230 72430\n32877 49501\n51538 77361\n96202 100000\n78479 100000\n4829 7281\n30854 46462\n22240 33523\n73006 100000\n56930 85405\n30474 45906\n9605 14442\n56904 85363\n2918 4420\n74947 100000\n62085 93137\n27730 41759\n73997 100000\n21321 32143\n58847 88275\n56288 84445\n87225 100000\n15891 23946\n71026 100000\n27868 41961\n40901 61515\n78655 100000\n67327 100000\n53965 80977\n72819 100000\n43227 64979\n76912 100000\n18028 27159\n56658 84994\n99497 100000\n62211 93328\n225 323\n44519 66908\n31846 47963\n88231 100000\n96962 100000\n16125 24304\n44284 66552\n52056 78140\n47100 70765\n92577 100000\n43613 65560\n10396 15642\n6668 10009\n71646 100000\n8614 12933\n5281 7937\n48422 72710\n38472 57878\n70112 100000\n62746 94106\n15427 23241\n90768 100000\n52302 78514\n19956 30058\n32953 49623\n53993 81020\n34521 51951\n55033 82567\n39163 58919\n63241 94849\n29617 44608\n61019 91550\n13344 20099\n52234 78413\n8060 12112\n73338 100000\n72922 100000\n66386 99574\n86260 100000\n2822 4280\n56378 84578\n76737 100000\n71582 100000\n70789 100000\n51285 76978\n6068 9110\n45263 68024\n18802 28334\n34978 52617\n37780 56823\n9132 13722\n89596 100000\n19155 28855\n3368 5095\n30739 46305\n7497 11272\n78196 100000\n17594 26512\n11286 16983\n93167 100000\n39360 59221\n33143 49914\n82571 100000\n11931 17945\n92224 100000\n70390 100000\n51138 76760\n8606 12919\n18473 27840\n55054 82602\n57607 86402\n68200 100000\n90448 100000\n65400 98093\n10234 15398\n55144 82740\n74665 100000\n59470 89218\n33812 50909\n64070 96096\n88140 100000\n97316 100000\n1637 2464\n18270 27531\n73657 100000\n91032 100000\n706 1057\n20301 30569\n80604 100000\n33778 50857\n27839 41917\n18604 28045\n52227 78403\n41786 62839\n34354 51709\n11409 17172\n3547 5355\n10798 16239\n90349 100000\n96258 100000\n43610 65556\n39639 59633\n89155 100000\n54916 82392\n19552 29447\n85051 100000\n90854 100000\n10788 16223\n25576 38547\n33110 49865\n45497 68363\n37147 55870\n84855 100000\n47114 70785\n45312 68095\n58324 87484\n81554 100000\n13233 19931\n39712 59743\n89314 100000\n50199 75369\n54630 81964\n54175 81282\n47725 71679\n2828 4288\n9688 14561\n73034 100000\n5455 8191\n50930 76460\n99419 100000\n75837 100000\n86908 100000\n81922 100000\n99955 100000\n6028 9053\n1249 1870\n99244 100000\n45454 68300\n43649 65612\n65601 98398\n73202 100000\n96522 100000\n63330 94985\n95663 100000\n69947 100000\n93536 100000\n23782 35846\n36786 55328\n88716 100000\n59320 88988\n82464 100000\n96390 100000\n15323 23080\n26822 40403\n99063 100000\n15240 22951\n21203 31958\n35684 53665\n7000 10510\n6986 10487\n37622 56577\n54449 81694\n87124 100000\n24854 37468\n67542 100000\n34281 51605\n52337 78570\n43720 65708\n21416 32287\n44126 66316\n95352 100000\n96592 100000\n88063 100000\n71239 100000\n60778 91204\n52588 78954\n82330 100000\n39491 59413\n97692 100000\n35353 53178\n49960 75004\n14983 22565\n26358 39711\n84391 100000\n23934 36071\n5586 8385\n40535 60968\n56843 85270\n37960 57100\n99265 100000\n95543 100000\n2877 4361\n82152 100000\n93679 100000\n86146 100000\n38101 57325\n25935 39096\n23230 35011\n36913 55516\n84344 100000\n37048 55725\n36026 54178\n34040 51244\n38244 57539\n82396 100000\n27295 41107\n44541 66940\n37647 56616\n12616 18983\n48296 72526\n12811 19295\n34236 51529\n17245 25989\n3928 5926\n47708 71656\n68379 100000\n7413 11139\n91880 100000\n90195 100000\n17032 25656\n69652 100000\n67593 100000\n20839 31405\n43025 64676\n82650 100000\n28455 42841\n26895 40518\n16192 24399\n79155 100000\n97491 100000\n42013 63179\n58723 88080\n93321 100000\n37153 55878\n95209 100000\n91074 100000\n35551 53466\n89278 100000\n22901 34503\n16567 24953\n99877 100000\n15636 23559\n63468 95190\n38823 58407\n34278 51601\n98396 100000\n1492 2240\n3050 4613\n65965 98937\n76320 100000\n8954 13453\n18705 28194\n65441 98160\n10192 15333\n81752 100000\n88933 100000\n24022 36213\n18663 28133\n1712 2579\n74702 100000\n1760 2655\n72575 100000\n80536 100000\n74347 100000\n21121 31830\n49238 73936\n57290 85950\n77469 100000\n9781 14703\n36471 54856\n50352 75591\n19845 29885\n65387 98073\n39583 59550\n81671 100000\n85329 100000\n88502 100000\n18769 28283\n33514 50454\n14587 21959\n69775 100000\n67149 100000\n81333 100000\n30120 45381\n89039 100000\n27047 40736\n9466 14230\n48602 72973\n64489 96725\n58181 87272\n61165 91771\n59444 89175\n52692 79098\n93552 100000\n25946 39109\n17889 26951\n77928 100000\n59905 89876\n10169 15297\n64848 97263\n72182 100000\n2987 4519\n99384 100000\n94070 100000\n41593 62552\n63302 94945\n72571 100000\n71526 100000\n16586 24978\n72750 100000\n57928 86899\n4632 6986\n72533 100000\n77337 100000\n166 242\n32417 48812\n83145 100000\n14104 21240\n74697 100000\n68463 100000\n20765 31287\n10164 15289\n89349 100000\n40455 60845\n75454 100000\n12420 18682\n72431 100000\n33247 50068\n45684 68631\n22311 33629\n62502 93749\n89878 100000\n57005 85518\n7546 11340\n11027 16595\n6811 10224\n20006 30132\n48101 72236\n64591 96879\n4892 7380\n39994 60159\n62451 93676\n10535 15840\n22888 34481\n34256 51565\n79974 100000\n13214 19903\n25354 38209\n60552 90847\n35547 53461\n46747 70224\n18958 28560\n68080 100000\n31087 46811\n68363 100000\n8675 13027\n25845 38963\n33000 49700\n64328 96480\n29172 43931\n68218 100000\n23504 35425\n75313 100000\n38250 57550\n28269 42566\n6718 10083\n80989 100000\n40903 61517\n75424 100000\n40496 60907\n93823 100000\n97704 100000\n425 627\n36718 55223\n52311 78530\n47008 70620\n79693 100000\n25219 38004\n74506 100000\n90533 100000\n67770 100000\n39346 59198\n59925 89906\n36287 54578\n82799 100000\n41441 62331\n94093 100000\n57262 85907\n80488 100000\n68040 100000\n88551 100000\n173 251\n76773 100000\n21771 32816\n75263 100000\n62176 93278\n17333 26116\n17948 27040\n30958 46616\n90986 100000\n94467 100000\n55064 82617\n28879 43484\n5989 8999\n29256 44058\n94140 100000\n39443 59338\n54106 81177\n22659 34133\n9172 13781\n19998 30119\n27488 41394\n53206 79874\n10268 15447\n50578 75930\n63701 95556\n62089 93142\n89043 100000\n50163 75317\n61737 92618\n60065 90115\n10518 15816\n12096 18195\n34842 52422\n99707 100000\n56401 84614\n82939 100000\n68746 100000\n23297 35108\n5050 7601\n69007 100000\n35501 53402\n31650 47663\n12368 18604\n49580 74456\n10495 15782\n43110 64805\n67516 100000\n21438 32319\n66526 99784\n44334 66626\n87295 100000\n43173 64895\n13483 20306\n16970 25561\n98837 100000\n26584 40050\n41702 62716\n29541 44487\n81422 100000\n79150 100000\n83681 100000\n48223 72419\n69635 100000\n42968 64589\n73685 100000\n22101 33320\n98558 100000\n92648 100000\n21154 31884\n80 118\n64865 97287\n52453 78743\n10326 15531\n7194 10809\n34220 51508\n75378 100000\n71959 100000\n54053 81102\n52688 79091\n34350 51704\n39784 59852\n87176 100000\n40783 61340\n94259 100000\n31312 47157\n20526 30909\n40832 61411\n34968 52602\n60634 90974\n58469 87691\n28214 42482\n13951 21006\n9798 14730\n67864 100000\n15546 23424\n62219 93341\n99953 100000\n142 206\n36962 55590\n81024 100000\n63259 94878\n21933 33069\n49291 74011\n47313 71075\n71859 100000\n77244 100000\n14047 21156\n12037 18102\n1963 2963\n47155 70845\n76152 100000\n83595 100000\n50582 75936\n94752 100000\n8562 12852\n65480 98223\n46834 70348\n67589 100000\n85491 100000\n10011 15060\n47769 71749\n61618 92443\n77799 100000\n31702 47746\n61610 92429\n80113 100000\n57344 86032\n26449 39853\n16625 25040\n39766 59822\n27961 42094\n78544 100000\n31880 48014\n70459 100000\n36387 54730\n47199 70907\n84576 100000\n14805 22288\n34043 51247\n94992 100000\n53437 80211\n67972 100000\n31461 47386\n27632 41609\n7177 10784\n75196 100000\n70612 100000\n69059 100000\n27954 42085\n56038 84075\n1180 1761\n9537 14339\n46734 70203\n39979 60134\n5559 8342\n68921 100000\n62225 93349\n79413 100000\n49035 73622\n30784 46366\n25824 38934\n53031 79614\n65383 98066\n82315 100000\n94345 100000\n29045 43741\n97960 100000\n39527 59464\n42772 64298\n15455 23281\n13105 19741\n18257 27511\n8827 13262\n13643 20539\n1373 2062\n70754 100000\n41984 63137\n13779 20749\n8628 12954\n79404 100000\n1331 1993\n2813 4267\n18999 28621\n74098 100000\n90696 100000\n46995 70600\n9339 14034\n46409 69723\n14395 21665\n55711 83595\n27936 42061\n44758 67274\n29966 45143\n98311 100000\n25360 38217\n82879 100000\n5274 7925\n77465 100000\n72097 100000\n43221 64969\n93198 100000\n75746 100000\n35018 52677\n53060 79656\n50677 76082\n81132 100000\n70979 100000\n12387 18631\n78947 100000\n13504 20333\n45355 68158\n20676 31142\n58981 88484\n51663 77552\n935 1395\n91228 100000\n42419 63779\n58589 87869\n5892 8856\n89549 100000\n36570 55009\n41000 61668\n50534 75865\n92882 100000\n94510 100000\n16698 25151\n57826 86739\n61736 92617\n73764 100000\n7512 11290\n91067 100000\n25116 37857\n138 200\n92140 100000\n56980 85480\n32482 48912\n37754 56783\n37422 56280\n45877 68915\n91122 100000\n32181 48469\n66487 99725\n65724 98575\n59421 89144\n58075 87115\n65374 98052\n12981 19552\n97954 100000\n28494 42900\n99187 100000\n623 934\n35482 53374\n28043 42217\n5917 8897\n42061 63251\n77776 100000\n25642 38654\n75198 100000\n94895 100000\n3536 5340\n16234 24462\n13893 20924\n30633 46141\n5815 8735\n43035 64691\n46322 69590\n18934 28524\n30701 46246\n1285 1928\n68132 100000\n15529 23394\n83979 100000\n18963 28566\n10489 15774\n97982 100000\n18819 28358\n74866 100000\n8537 12816\n47156 70847\n62005 93019\n39589 59560\n75864 100000\n84784 100000\n997 1489\n31126 46873\n30879 46499\n80101 100000\n36486 54877\n46983 70580\n75015 100000\n91277 100000\n67198 100000\n4139 6245\n34081 51306\n12808 19289\n4013 6055\n99977 100000\n16496 24848\n81301 100000\n79676 100000\n27296 41109\n33278 50112\n15216 22913\n14229 21420\n96477 100000\n60943 91432\n49968 75014\n43453 65320\n74629 100000\n50501 75810\n36813 55368\n67946 100000\n72012 100000\n36622 55090\n79167 100000\n64163 96238\n86334 100000\n47558 71440\n28227 42502\n87609 100000\n10350 15569\n28095 42303\n60358 90558\n61480 92240\n81201 100000\n17410 26226\n93334 100000\n91486 100000\n55188 82807\n480 706\n71708 100000\n89432 100000\n3897 5877\n36414 54771\n53629 80480\n83450 100000\n86174 100000\n13263 19979\n38023 57202\n73013 100000\n93708 100000\n98034 100000\n76379 100000\n31358 47227\n218 315\n56219 84349\n61907 92876\n56222 84353\n48828 73316\n49288 74006\n61880 92832\n2709 4094\n31260 47075\n90413 100000\n73890 100000\n22595 34039\n4569 6892\n22479 33874\n44848 67405\n22834 34398\n31340 47198\n47780 71766\n10458 15732\n95219 100000\n47115 70786\n59328 89000\n24861 37480\n44774 67299\n30183 45477\n57805 86711\n31662 47684\n66446 99664\n23165 34914\n91265 100000\n62363 93548\n5883 8842\n61490 92254\n68437 100000\n52070 78160\n79163 100000\n53846 80801\n23453 35342\n60806 91241\n34701 52218\n49622 74519\n6412 9626\n82988 100000\n90816 100000\n60280 90438\n18644 28104\n23872 35984\n74161 100000\n96665 100000\n99266 100000\n99426 100000\n90879 100000\n25738 38805\n563 836\n73007 100000\n34097 51331\n33346 50210\n37586 56526\n20528 30912\n25377 38245\n69525 100000\n44221 66455\n51041 76618\n22466 33854\n51522 77333\n34936 52558\n40983 61640\n29082 43793\n14907 22447\n88250 100000\n80687 100000\n53549 80365\n51568 77405\n13774 20741\n1210 1811\n65385 98069\n72992 100000\n12141 18267\n29533 44475\n86750 100000\n67299 100000\n18600 28038\n54500 81779\n38284 57603\n98061 100000\n20764 31285\n90761 100000\n51173 76816\n27446 41332\n52670 79066\n20557 30959\n33425 50322\n57430 86159\n57088 85641\n97914 100000\n48211 72398\n93080 100000\n21678 32680\n22701 34201\n87380 100000\n55062 82614\n51362 77088\n90272 100000\n79998 100000\n93487 100000\n74861 100000\n97971 100000\n7749 11644\n54983 82494\n49365 74129\n80366 100000\n38677 58179\n23281 35085\n62656 93981\n8959 13461\n55966 83966\n75762 100000\n20683 31154\n99486 100000\n45007 67639\n3598 5431\n59581 89384\n58225 87335\n95163 100000\n74945 100000\n10360 15584\n16128 24307\n52464 78759\n75686 100000\n1127 1682\n61143 91739\n66822 100000\n62393 93592\n84833 100000\n13131 19781\n84700 100000\n43808 65842\n50415 75684\n1996 3015\n53611 80453\n61711 92582\n47191 70896\n57996 86999\n66035 99042\n95044 100000\n63200 94790\n11530 17354\n69005 100000\n24564 37012\n56027 84060\n11547 17379\n63112 94653\n90874 100000\n2461 3719\n67582 100000\n56418 84640\n31385 47267\n95567 100000\n74930 100000\n75243 100000\n32236 48550\n38401 57778\n94353 100000\n45689 68638\n72384 100000\n60417 90647\n47726 71681\n83146 100000\n61116 91700\n82122 100000\n26856 40458\n36579 55024\n55399 83135\n41708 62725\n6367 9558\n80477 100000\n82208 100000\n52589 78956\n65763 98629\n2893 4388\n56120 84200\n9103 13676\n60827 91269\n84805 100000\n47614 71524\n41019 61697\n18092 27257\n64380 96561\n54314 81489\n85540 100000\n77021 100000\n68033 100000\n55257 82913\n55213 82846\n2457 3713\n70963 100000\n49768 74728\n7941 11931\n97499 100000\n57376 86077\n75875 100000\n12476 18768\n75429 100000\n21511 32429\n51068 76657\n74144 100000\n24658 37156\n78255 100000\n53489 80279\n2741 4146\n31601 47593\n48361 72623\n5911 8886\n66997 100000\n58297 87442\n88527 100000\n1364 2046\n65877 98798\n89710 100000\n8908 13382\n96082 100000\n48329 72573\n53098 79716\n71479 100000\n75401 100000\n62202 93314\n64926 97379\n9899 14881\n25230 38023\n81142 100000\n9076 13638\n36018 54168\n60107 90180\n68389 100000\n19733 29723\n63225 94825\n95680 100000\n73893 100000\n49752 74704\n31213 47007\n57759 86639\n32329 48692\n98253 100000\n69167 100000\n92017 100000\n14125 21274\n53591 80426\n27459 41350\n58391 87578\n12701 19117\n70261 100000\n7179 10787\n68404 100000\n12755 19201\n67420 100000\n75087 100000\n12480 18775\n26969 40626\n42393 63741\n34867 52460\n8308 12475\n70961 100000\n47860 71886\n59396 89106\n14710 22143\n94974 100000\n80066 100000\n70435 100000\n76301 100000\n83656 100000\n82470 100000\n39243 59036\n40731 61259\n48687 73104\n88434 100000\n85189 100000\n54092 81158\n91412 100000\n60360 90560\n75643 100000\n80011 100000\n69541 100000\n51042 76619\n41522 62450\n54228 81361\n36652 55131\n84990 100000\n86160 100000\n91082 100000\n57573 86355\n95310 100000\n70692 100000\n46384 69685\n75648 100000\n19645 29587\n71333 100000\n7820 11748\n68856 100000\n85728 100000\n84787 100000\n91617 100000\n829 1241\n6697 10054\n17525 26401\n44220 66453\n18389 27712\n38059 57255\n77981 100000\n96889 100000\n42797 64335\n35051 52729\n78964 100000\n17499 26362\n26047 39247\n3896 5876\n11175 16814\n1987 3001\n30527 45982\n91651 100000\n97135 100000\n25972 39141\n20904 31500\n35271 53058\n22271 33572\n92281 100000\n70937 100000\n91234 100000\n3487 5269\n52899 79411\n24899 37541\n8097 12163\n91003 100000\n69289 100000\n78043 100000\n61592 92404\n51977 78029\n83851 100000\n56647 84977\n53127 79758\n26995 40664\n46946 70522\n413 608\n22599 34045\n88779 100000\n93037 100000\n32923 49575\n75157 100000\n37329 56140\n81567 100000\n45961 69041\n64433 96641\n49950 74991\n99013 100000\n48364 72628\n22998 34658\n87702 100000\n87479 100000\n74218 100000\n39211 58987\n49893 74910\n89252 100000\n76764 100000\n86084 100000\n23776 35838\n85633 100000\n92594 100000\n81473 100000\n26825 40406\n94820 100000\n95692 100000\n63928 95890\n6585 9881\n93241 100000\n13767 20731\n21717 32732\n91875 100000\n85637 100000\n42976 64602\n12494 18794\n84638 100000\n17702 26675\n24070 36281\n19250 28998\n98069 100000\n24913 37560\n43258 65029\n93124 100000\n4347 6555\n18316 27603\n9706 14588\n65442 98162\n29905 45044\n71722 100000\n95300 100000\n30709 46259\n15309 23057\n94199 100000\n73447 100000\n43433 65293\n54210 81336\n90202 100000\n82770 100000\n76721 100000\n23134 34864\n14362 21614\n27031 40715\n87800 100000\n48203 72386\n75027 100000\n15117 22763\n13866 20879\n22350 33683\n57902 86856\n68386 100000\n36036 54191\n68709 100000\n92342 100000\n15826 23850\n71119 100000\n78567 100000\n23450 35337\n79852 100000\n23110 34833\n77052 100000\n41800 62858\n95660 100000\n54539 81832\n48311 72545\n14663 22075\n51693 77597\n39138 58881\n1740 2622\n41494 62407\n10195 15338\n88155 100000\n53387 80136\n99787 100000\n83519 100000\n43551 65470\n63539 95301\n12917 19453\n57174 85771\n91050 100000\n11466 17259\n14238 21433\n93655 100000\n85262 100000\n65414 98115\n71365 100000\n97978 100000\n10826 16283\n21789 32846\n10256 15428\n32845 49452\n15416 23228\n78287 100000\n40574 61029\n9708 14591\n21294 32101\n40959 61601\n35918 54022\n48917 73445\n75747 100000\n88490 100000\n15391 23191\n35618 53566\n39749 59798\n7650 11494\n33262 50088\n88475 100000\n78215 100000\n17044 25678\n75252 100000\n50724 76151\n67337 100000\n93881 100000\n50408 75671\n68103 100000\n60884 91349\n40199 60459\n86814 100000\n32896 49532\n87615 100000\n98062 100000\n90421 100000\n81818 100000\n33973 51148\n48124 72265\n39859 59963\n962 1438\n14792 22268\n70675 100000\n10284 15469\n39773 59834\n88019 100000\n75163 100000\n3095 4679\n5542 8315\n37818 56884\n50165 75320\n57478 86223\n27280 41088\n57571 86351\n94078 100000\n80615 100000\n43024 64675\n94655 100000\n56035 84072\n80796 100000\n7329 11009\n1224 1831\n44470 66830\n29922 45069\n94538 100000\n57119 85688\n79764 100000\n64686 97019\n27 39\n70236 100000\n44148 66351\n18076 27230\n34850 52433\n11214 16871\n40211 60476\n11315 17029\n21309 32126\n71750 100000\n49394 74172\n2905 4402\n84689 100000\n70035 100000\n89101 100000\n47261 70996\n19126 28810\n11433 17206\n33517 50458\n7641 11480\n7182 10792\n41903 63014\n57807 86714\n51176 76820\n42788 64320\n77722 100000\n40965 61610\n42656 64134\n15925 23998\n97503 100000\n26730 40266\n40681 61183\n41435 62323\n7038 10564\n90358 100000\n27193 40955\n51847 77837\n88818 100000\n28684 43189\n10988 16539\n60177 90290\n5201 7824\n51076 76668\n47639 71554\n60758 91173\n53657 80525\n8740 13128\n55679 83548\n20270 30521\n46025 69137\n67914 100000\n40759 61304\n42095 63300\n15602 23504\n59949 89940\n19241 28986\n8405 12616\n93118 100000\n38443 57841\n35713 53714\n9511 14298\n52830 79304\n14659 22069\n67565 100000\n90418 100000\n39305 59133\n55522 83317\n77131 100000\n14975 22553\n29133 43866\n20924 31529\n16170 24367\n11136 16762\n84910 100000\n39005 58680\n10102 15196\n75038 100000\n93045 100000\n50985 76535\n58269 87402\n40691 61199\n29684 44710\n44561 66967\n56504 84765\n59590 89398\n87795 100000\n2542 3845\n26207 39482\n71519 100000\n65247 97863\n31449 47366\n77388 100000\n38037 57224\n16648 25076\n47775 71758\n91139 100000\n84492 100000\n19428 29261\n26092 39314\n79379 100000\n86181 100000\n81460 100000\n58525 87774\n12980 19551\n29053 43753\n33373 50245\n49878 74889\n79004 100000\n9791 14719\n84781 100000\n50986 76537\n29678 44700\n11907 17913\n1404 2107\n93712 100000\n96973 100000\n54618 81945\n95713 100000\n27027 40710\n64326 96478\n46068 69202\n97049 100000\n97957 100000\n99410 100000\n77161 100000\n28641 43121\n69103 100000\n38174 57436\n69740 100000\n16602 25006\n13369 20134\n71016 100000\n99508 100000\n81611 100000\n57090 85643\n80611 100000\n8733 13118\n91510 100000\n1877 2829\n18777 28294\n2483 3755\n8893 13360\n43347 65166\n6997 10505\n45103 67788\n14638 22039\n21807 32870\n43750 65749\n7803 11721\n86190 100000\n16120 24298\n25677 38709\n26225 39509\n51839 77826\n57551 86327\n22774 34312\n72634 100000\n19778 29780\n30119 45380\n42990 64621\n14153 21314\n67158 100000\n18152 27346\n60858 91311\n56813 85224\n34377 51741\n4015 6057\n47324 71090\n54255 81401\n57528 86294\n37844 56924\n49472 74287\n79674 100000\n48334 72582\n18001 27124\n55045 82585\n84163 100000\n35989 54123\n20604 31031\n52611 78982\n36877 55462\n13642 20537\n35484 53377\n11039 16612\n31114 46853\n4751 7167\n77765 100000\n43640 65599\n44112 66294\n17036 25663\n37917 57035\n11999 18044\n11523 17343\n7271 10920\n39793 59865\n8488 12749\n27807 41873\n99760 100000\n8552 12838\n61230 91869\n92498 100000\n54166 81269\n58731 88093\n66276 99413\n8783 13193\n17354 26144\n79282 100000\n31059 46769\n55430 83183\n4490 6769\n22440 33815\n62319 93485\n35630 53584\n29428 44312\n60971 91477\n49886 74899\n76481 100000\n43175 64898\n63361 95029\n68332 100000\n52097 78201\n22452 33834\n48618 72996\n95852 100000\n17910 26982\n69727 100000\n10551 15866\n67317 100000\n96598 100000\n82014 100000\n66314 99472\n34911 52521\n66846 100000\n47772 71754\n96426 100000\n66936 100000\n74011 100000\n21146 31871\n43864 65922\n21962 33117\n13169 19839\n32193 48485\n37220 55980\n19003 28626\n9331 14021\n15735 23703\n66699 100000\n86886 100000\n35061 52743\n23299 35111\n57199 85808\n82151 100000\n12029 18089\n60053 90096\n60888 91354\n51210 76870\n29431 44318\n98833 100000\n44290 66560\n11956 17982\n23079 34780\n78497 100000\n46169 69356\n55173 82784\n17540 26426\n43231 64985\n81047 100000\n37955 57094\n13910 20950\n50710 76131\n29183 43948\n54805 82224\n28609 43074\n33538 50490\n4540 6846\n81770 100000\n69146 100000\n63226 94826\n90030 100000\n90726 100000\n41934 63062\n13460 20273\n79814 100000\n36771 55306\n70446 100000\n59296 88954\n23291 35098\n35217 52982\n85764 100000\n37187 55929\n75754 100000\n67117 100000\n9655 14516\n71127 100000\n94900 100000\n740 1109\n38145 57392\n71786 100000\n24449 36848\n14753 22206\n22776 34315\n9157 13759\n91349 100000\n98716 100000\n21667 32665\n31736 47795\n21459 32352\n68074 100000\n53795 80729\n91432 100000\n10499 15789\n98038 100000\n34775 52323\n82417 100000\n35150 52880\n67902 100000\n81240 100000\n11646 17524\n99793 100000\n13724 20663\n77042 100000\n75061 100000\n37013 55669\n10592 15925\n75618 100000\n82083 100000\n30328 45689\n90894 100000\n27002 40675\n50224 75404\n20889 31477\n71888 100000\n22383 33733\n77394 100000\n72987 100000\n92689 100000\n32131 48387\n83835 100000\n26549 40000\n41900 63009\n66687 100000\n96213 100000\n38367 57726\n18264 27523\n37921 57041\n39787 59858\n84252 100000\n7642 11482\n6396 9602\n35454 53335\n89425 100000\n94808 100000\n11879 17871\n88595 100000\n34348 51701\n84539 100000\n13057 19665\n18599 28037\n82073 100000\n86339 100000\n77792 100000\n79922 100000\n81693 100000\n8724 13102\n72338 100000\n52968 79516\n46063 69195\n97036 100000\n65647 98468\n26168 39429\n53174 79826\n33010 49716\n39417 59302\n25855 38978\n19903 29977\n94076 100000\n31811 47908\n4083 6162\n14803 22285\n4451 6709\n60101 90171\n28917 43542\n60467 90721\n60428 90662\n13450 20257\n70745 100000\n24120 36354\n60350 90547\n48263 72475\n4650 7012\n66768 100000\n4988 7512\n65735 98591\n49202 73881\n66051 99065\n25347 38198\n61089 91654\n60775 91200\n13281 20005\n36446 54818\n41410 62286\n54297 81463\n92865 100000\n78121 100000\n61524 92303\n8909 13383\n35691 53678\n43597 65535\n43003 64641\n63299 94940\n78501 100000\n73326 100000\n22229 33508\n69192 100000\n56430 84655\n77496 100000\n51671 77563\n94094 100000\n39076 58784\n22407 33769\n48216 72407\n53179 79833\n82795 100000\n75011 100000\n40037 60225\n18750 28258\n63142 94700\n7874 11831\n92355 100000\n95545 100000\n16291 24547\n53688 80572\n46789 70282\n89926 100000\n40780 61337\n48708 73135\n55686 83559\n95418 100000\n43127 64829\n30138 45409\n52367 78613\n33015 49725\n78323 100000\n96350 100000\n89957 100000\n76310 100000\n83630 100000\n33079 49819\n69386 100000\n85045 100000\n56666 85006\n59529 89307\n36256 54529\n97143 100000\n39377 59248\n24035 36232\n12663 19057\n11529 17353\n11917 17926\n53800 80737\n14230 21422\n98198 100000\n82033 100000\n65769 98636\n11399 17155\n81999 100000\n82020 100000\n69912 100000\n2443 3691\n36815 55371\n65874 98792\n60805 91239\n79348 100000\n1377 2069\n46383 69683\n56428 84653\n52220 78394\n42956 64573\n82579 100000\n23718 35749\n46171 69358\n32456 48870\n92653 100000\n66900 100000\n93119 100000\n6048 9082\n68695 100000\n43581 65509\n63285 94917\n32973 49654\n29597 44576\n66948 100000\n7795 11709\n23006 34671\n52052 78133\n34530 51963\n47329 71098\n32587 49074\n57197 85806\n10074 15157\n74197 100000\n15377 23169\n11828 17795\n54598 81917\n62779 94158\n90779 100000\n15061 22680\n87549 100000\n82133 100000\n42004 63166\n62959 94419\n62693 94038\n13755 20710\n38602 58072\n45819 68831\n18036 27172\n57762 86644\n5371 8067\n38524 57961\n59997 90011\n84568 100000\n94744 100000\n95357 100000\n14945 22505\n54151 81245\n21836 32919\n48136 72280\n11330 17054\n15288 23024\n55776 83684\n41878 62977\n77024 100000\n41427 62311\n81461 100000\n36833 55398\n26418 39803\n39204 58978\n33765 50837\n7138 10720\n2064 3117\n75075 100000\n28983 43643\n4124 6221\n41129 61868\n20824 31379\n71941 100000\n16501 24856\n34493 51912\n24749 37304\n75340 100000\n3684 5559\n33308 50157\n56535 84813\n39510 59439\n65207 97808\n68364 100000\n45564 68454\n69969 100000\n86244 100000\n55292 82969\n81366 100000\n8385 12586\n31538 47502\n77829 100000\n83384 100000\n24629 37115\n8136 12225\n95413 100000\n13597 20472\n49821 74803\n64889 97325\n1626 2448\n34225 51514\n70735 100000\n28359 42697\n81965 100000\n86182 100000\n5624 8443\n39523 59460\n6156 9243\n34419 51802\n76750 100000\n8173 12280\n32308 48658\n77935 100000\n95896 100000\n46516 69879\n44630 67075\n71691 100000\n92663 100000\n49326 74069\n14466 21776\n48605 72978\n66454 99676\n4120 6216\n84136 100000\n41501 62416\n37149 55872\n23098 34811\n92026 100000\n94723 100000\n63809 95716\n26329 39663\n75246 100000\n85079 100000\n92266 100000\n17095 25752\n8011 12033\n65435 98150\n25831 38945\n3434 5195\n98891 100000\n94592 100000\n54836 82268\n2232 3379\n21421 32294\n64002 95998\n91008 100000\n51147 76775\n69905 100000\n52038 78116\n79713 100000\n52675 79074\n9614 14455\n7128 10703\n50720 76146\n1298 1947\n38859 58465\n65358 98028\n80494 100000\n73763 100000\n63742 95614\n30954 46611\n69044 100000\n74205 100000\n910 1360\n46465 69803\n92640 100000\n94166 100000\n48768 73228\n94197 100000\n8759 13155\n99683 100000\n85744 100000\n87544 100000\n25779 38865\n49491 74319\n55530 83328\n8255 12397\n80139 100000\n72824 100000\n3876 5843\n79126 100000\n86241 100000\n20855 31429\n89484 100000\n58379 87564\n41872 62969\n80903 100000\n8570 12866\n41357 62204\n34488 51904\n37645 56614\n77258 100000\n52369 78616\n98386 100000\n12872 19382\n20629 31071\n88702 100000\n98487 100000\n75310 100000\n64415 96616\n93139 100000\n25197 37972\n96960 100000\n22624 34084\n1719 2590\n5003 7535\n37569 56497\n10143 15256\n81606 100000\n48578 72942\n2781 4214\n16243 24477\n19315 29099\n83356 100000\n69916 100000\n66063 99082\n8788 13200\n37528 56436\n32535 48993\n57956 86942\n65447 98169\n29074 43781\n67663 100000\n6966 10456\n11957 17983\n30516 45968\n47613 71523\n52299 78511\n33644 50654\n84747 100000\n8214 12338\n51017 76583\n24677 37185\n10297 15488\n86902 100000\n4214 6355\n21295 32103\n38209 57488\n65868 98781\n12157 18294\n12340 18560\n82198 100000\n33846 50958\n52642 79025\n73446 100000\n66515 99767\n76845 100000\n56791 85189\n44649 67105\n42552 63980\n48672 73082\n68135 100000\n59707 89570\n86057 100000\n747 1121\n504 745\n71594 100000\n83857 100000\n34358 51714\n77121 100000\n63934 95897\n61164 91769\n73671 100000\n71499 100000\n58257 87383\n35838 53901\n9457 14215\n74761 100000\n684 1022\n73134 100000\n40962 61604\n13790 20765\n9482 14257\n97833 100000\n83371 100000\n18629 28080\n92184 100000\n20314 30587\n82358 100000\n62366 93552\n30991 46668\n76091 100000\n14888 22418\n65841 98744\n10998 16555\n70175 100000\n3501 5290\n281 405\n24429 36816\n73391 100000\n99297 100000\n12367 18603\n80672 100000\n35740 53755\n84882 100000\n41555 62497\n70276 100000\n77891 100000\n36163 54386\n92227 100000\n6652 9984\n81160 100000\n69442 100000\n45935 69000\n95759 100000\n89586 100000\n33504 50442\n88008 100000\n55879 83834\n20110 30286\n61594 92406\n52403 78668\n11143 16771\n52554 78902\n3692 5570\n71925 100000\n85804 100000\n99235 100000\n90203 100000\n7197 10814\n7125 10698\n84650 100000\n34504 51928\n21973 33132\n57398 86108\n21247 32025\n15512 23372\n34362 51719\n85529 100000\n48892 73404\n14708 22140\n54687 82045\n33823 50926\n30678 46213\n76345 100000\n69323 100000\n76734 100000\n36967 55598\n66586 99869\n18952 28552\n2116 3201\n68909 100000\n59557 89349\n74279 100000\n99454 100000\n27351 41189\n96392 100000\n73305 100000\n20690 31166\n90598 100000\n38123 57356\n36071 54247\n79064 100000\n52479 78779\n35536 53447\n86754 100000\n49258 73968\n54989 82503\n48114 72250\n15023 22622\n78454 100000\n73480 100000\n60831 91273\n86270 100000\n93222 100000\n82426 100000\n71491 100000\n42778 64306\n23408 35273\n332 477\n39074 58781\n42600 64049\n70662 100000\n7702 11571\n27889 41995\n55161 82768\n72133 100000\n23207 34976\n2301 3484\n3593 5423\n27243 41032\n29539 44484\n86812 100000\n89638 100000\n6074 9119\n93170 100000\n62213 93331\n80983 100000\n73932 100000\n37074 55762\n19411 29236\n18491 27867\n26448 39851\n30175 45465\n20881 31465\n6590 9888\n46793 70287\n21997 33165\n34773 52320\n43698 65677\n80434 100000\n12423 18688\n43420 65274\n52436 78718\n59578 89380\n55818 83749\n68930 100000\n42776 64303\n41296 62118\n15557 23440\n97919 100000\n14263 21466\n21455 32346\n6414 9628\n24568 37019\n6614 9922\n4407 6645\n76208 100000\n70248 100000\n2990 4525\n20017 30150\n82087 100000\n3274 4956\n47218 70934\n36214 54462\n91492 100000\n85691 100000\n62268 93411\n8285 12442\n24608 37082\n78395 100000\n56365 84557\n15816 23831\n79795 100000\n35658 53621\n65580 98367\n59004 88515\n88271 100000\n80451 100000\n53124 79753\n86844 100000\n96729 100000\n10753 16171\n46727 70194\n83575 100000\n54329 81512\n95882 100000\n81913 100000\n134 195\n76316 100000\n35093 52794\n89730 100000\n19203 28925\n75768 100000\n52689 79093\n98405 100000\n64154 96224\n8645 12980\n41527 62457\n67125 100000\n93539 100000\n40468 60867\n53939 80938\n9092 13660\n92487 100000\n89843 100000\n68891 100000\n15533 23402\n76811 100000\n10076 15159\n30771 46347\n16332 24611\n32818 49413\n61742 92626\n66885 100000\n61060 91610\n30888 46512\n5562 8347\n22730 34244\n86395 100000\n11859 17842\n35276 53065\n47059 70701\n17821 26851\n81166 100000\n31481 47414\n31001 46683\n76658 100000\n85884 100000\n6501 9763\n79891 100000\n25523 38472\n51261 76945\n39916 60041\n72385 100000\n17465 26315\n92144 100000\n1130 1686\n52102 78210\n2316 3503\n87382 100000\n11338 17064\n28934 43569\n94514 100000\n25821 38929\n46285 69535\n3619 5462\n1276 1915\n57401 86113\n45745 68720\n63279 94906\n59668 89510\n60774 91198\n42502 63904\n51634 77509\n91748 100000\n32577 49059\n24602 37072\n3965 5984\n48641 73034\n73568 100000\n97949 100000\n63059 94573\n46616 70026\n89777 100000\n98499 100000\n16946 25523\n8651 12989\n47350 71129\n77032 100000\n18011 27137\n2057 3107\n11501 17307\n71244 100000\n64976 97450\n18930 28519\n21565 32514\n68157 100000\n37676 56657\n28314 42635\n16264 24509\n93948 100000\n35804 53851\n83982 100000\n76501 100000\n75249 100000\n22237 33519\n9586 14413\n70548 100000\n5935 8922\n98261 100000\n97136 100000\n32268 48597\n65559 98337\n35765 53790\n56620 84938\n13886 20913\n52648 79033\n45767 68752\n94654 100000\n6609 9914\n60096 90163\n53006 79575\n96820 100000\n66675 100000\n70674 100000\n92580 100000\n18338 27636\n67524 100000\n71459 100000\n44814 67357\n55260 82917\n52940 79472\n76199 100000\n93987 100000\n45513 68384\n7350 11044\n56975 85472\n28848 43440\n1454 2186\n31528 47486\n28086 42288\n92265 100000\n76550 100000\n64924 97376\n26344 39688\n11392 17144\n33779 50858\n53625 80475\n2291 3467\n25430 38330\n84888 100000\n81260 100000\n43230 64983\n47954 72022\n34295 51625\n23024 34699\n36131 54336\n22492 33894\n54750 82137\n14103 21239\n71199 100000\n19194 28914\n93061 100000\n78343 100000\n29892 45024\n11017 16580\n90700 100000\n6891 10340\n79434 100000\n64837 97247\n17084 25738\n73268 100000\n51473 77256\n94265 100000\n38788 58352\n90519 100000\n54274 81431\n76230 100000\n59482 89238\n49913 74938\n17672 26629\n45618 68539\n68374 100000\n73548 100000\n35648 53608\n13719 20655\n21856 32947\n55568 83387\n34934 52554\n78346 100000\n60245 90390\n21127 31842\n67334 100000\n87410 100000\n73030 100000\n4973 7491\n71431 100000\n53230 79910\n42193 63442\n65018 97516\n31409 47305\n77880 100000\n61893 92854\n1479 2223\n43966 66079\n33477 50400\n35215 52979\n44274 66538\n14919 22467\n10593 15926\n88665 100000\n70925 100000\n46687 70131\n80941 100000\n12798 19273\n80692 100000\n78069 100000\n69436 100000\n66760 100000\n23421 35294\n27993 42137\n33054 49782\n777 1166\n20141 30329\n77630 100000\n73146 100000\n63631 95450\n41582 62535\n34230 51521\n22074 33281\n72844 100000\n72459 100000\n36171 54397\n42972 64597\n75721 100000\n80889 100000\n78461 100000\n77920 100000\n15794 23795\n29740 44799\n97209 100000\n84846 100000\n75529 100000\n61039 91580\n77419 100000\n8318 12491\n89392 100000\n54148 81239\n56743 85126\n80613 100000\n68393 100000\n55571 83392\n57347 86036\n97747 100000\n84411 100000\n32421 48818\n54835 82267\n79347 100000\n90948 100000\n57142 85722\n83788 100000\n36832 55397\n96896 100000\n23956 36104\n56196 84314\n16133 24315\n85426 100000\n19891 29959\n63078 94601\n58244 87364\n32754 49310\n20622 31060\n59145 88726\n97941 100000\n59447 89181\n61833 92761\n60374 90581\n72427 100000\n42301 63601\n37822 56891\n49275 73990\n73888 100000\n682 1019\n77724 100000\n77111 100000\n81977 100000\n77331 100000\n95918 100000\n3022 4570\n77864 100000\n81878 100000\n43707 65690\n19237 28980\n84095 100000\n57860 86790\n58886 88334\n96066 100000\n84417 100000\n36020 54170\n41076 61784\n48262 72474\n67481 100000\n81593 100000\n74998 100000\n25117 37858\n56395 84605\n84826 100000\n69036 100000\n98297 100000\n54906 82378\n6046 9080\n84592 100000\n59772 89669\n32755 49312\n70420 100000\n96497 100000\n28268 42565\n90429 100000\n12214 18375\n89220 100000\n82950 100000\n12654 19042\n30169 45456\n57238 85866\n3949 5960\n20196 30414\n48237 72439\n59901 89869\n87318 100000\n25544 38502\n55437 83191\n6041 9074\n94013 100000\n33076 49814\n78560 100000\n88427 100000\n5376 8073\n73821 100000\n5237 7878\n85359 100000\n70781 100000\n63860 95793\n7598 11415\n85689 100000\n695 1041\n65143 97704\n14747 22197\n95772 100000\n28410 42776\n82273 100000\n61689 92550\n7098 10656\n10598 15934\n12202 18358\n7828 11759\n72193 100000\n65897 98829\n24291 36610\n61235 91875\n80093 100000\n36900 55497\n45514 68385\n37287 56081\n50479 75779\n25981 39153\n12983 19556\n63741 95613\n82957 100000\n38299 57628\n51978 78030\n42755 64275\n32474 48901\n55645 83500\n83242 100000\n54336 81521\n64423 96629\n24286 36603\n7577 11384\n51882 77887\n11271 16960\n19371 29178\n70569 100000\n60545 90838\n49505 74340\n85018 100000\n4239 6391\n4934 7440\n92845 100000\n85470 100000\n37721 56728\n57770 86657\n24137 36382\n51320 77026\n45693 68645\n74627 100000\n84321 100000\n2456 3711\n93965 100000\n87723 100000\n5909 8883\n29775 44848\n10843 16307\n79228 100000\n88705 100000\n12343 18565\n24049 36251\n52854 79340\n89009 100000\n76700 100000\n23719 35750\n32523 48974\n95866 100000\n94801 100000\n31368 47242\n44183 66399\n22554 33983\n31099 46830\n74874 100000\n30632 46140\n4269 6432\n66639 99947\n11986 18025\n87632 100000\n70191 100000\n19472 29330\n38375 57737\n39621 59604\n63567 95346\n66480 99713\n59695 89550\n35990 54125\n38726 58253\n45073 67739\n55416 83162\n12398 18645\n29501 44426\n96705 100000\n74395 100000\n33496 50430\n55427 83179\n50981 76529\n60967 91470\n16932 25505\n29268 44075\n85382 100000\n70645 100000\n44669 67134\n40573 61027\n63508 95249\n62402 93605\n65246 97861\n44228 66464\n75569 100000\n32761 49323\n97665 100000\n37752 56779\n13157 19824\n86882 100000\n48132 72276\n87475 100000\n88829 100000\n79083 100000\n98743 100000\n78126 100000\n24403 36779\n8240 12376\n35197 52953\n68099 100000\n11633 17502\n18560 27978\n94215 100000\n24136 36380\n22612 34065\n96271 100000\n83739 100000\n62056 93093\n40693 61202\n2504 3788\n35747 53766\n57310 85982\n16865 25397\n562 835\n40822 61396\n77551 100000\n12891 19415\n34170 51436\n97126 100000\n66645 99954\n24794 37377\n25414 38303\n98779 100000\n1848 2788\n9634 14483\n34609 52082\n76975 100000\n13304 20039\n64948 97408\n57969 86961\n86524 100000\n59994 90006\n3025 4576\n78922 100000\n18573 27996\n42404 63757\n4651 7013\n2783 4218\n87207 100000\n70361 100000\n17989 27103\n77236 100000\n27436 41313\n72217 100000\n87709 100000\n78120 100000\n42832 64386\n99085 100000\n24781 37353\n70956 100000\n70748 100000\n99983 100000\n19817 29836\n85818 100000\n57180 85780\n52851 79337\n25791 38885\n5417 8135\n99754 100000\n36545 54966\n21456 32347\n23753 35803\n97059 100000\n96711 100000\n47306 71064\n72553 100000\n22131 33362\n40203 60464\n84947 100000\n95706 100000\n98859 100000\n445 659\n76076 100000\n3664 5530\n73264 100000\n62182 93287\n58583 87861\n36479 54867\n95652 100000\n8832 13270\n83688 100000\n75907 100000\n51846 77836\n54819 82244\n13698 20625\n7890 11855\n83425 100000\n1419 2130\n57736 86601\n56853 85285\n48272 72487\n96120 100000\n99845 100000\n97476 100000\n30141 45414\n37847 56929\n66024 99024\n18229 27468\n44700 67184\n45076 67743\n170 248\n30434 45845\n52103 78212\n50659 76054\n68376 100000\n55719 83606\n43480 65357\n19298 29076\n18349 27652\n53161 79810\n40558 61004\n15538 23410\n44603 67035\n81872 100000\n86824 100000\n2160 3269\n77231 100000\n68268 100000\n54179 81287\n35761 53784\n44579 66996\n98886 100000\n19506 29380\n23578 35539\n3390 5128\n47436 71256\n33245 50064\n58389 87576\n94455 100000\n23966 36118\n33866 50991\n21449 32338\n39835 59927\n10955 16488\n19493 29363\n3224 4878\n53585 80417\n16889 25434\n53136 79770\n79448 100000\n4747 7162\n70258 100000\n96100 100000\n75417 100000\n56272 84422\n48170 72333\n42668 64152\n24241 36534\n88120 100000\n9819 14764\n32005 48197\n37185 55927\n6351 9536\n58067 87105\n87451 100000\n54769 82168\n43823 65865\n57532 86301\n30095 45344\n6000 9014\n30637 46148\n42844 64404\n47162 70853\n49272 73986\n24859 37477\n1497 2248\n38160 57415\n46464 69802\n17445 26282\n70872 100000\n32281 48619\n33594 50576\n25761 38839\n89694 100000\n89854 100000\n91389 100000\n54575 81886\n15396 23199\n48260 72471\n8082 12144\n22333 33661\n34335 51684\n4926 7428\n20672 31136\n39172 58934\n64532 96790\n41343 62185\n63705 95561\n66301 99452\n70281 100000\n83764 100000\n30993 46672\n34688 52199\n27017 40696\n60341 90532\n72408 100000\n42032 63206\n84168 100000\n49384 74158\n68794 100000\n50872 76372\n55381 83107\n72700 100000\n78415 100000\n11903 17907\n67035 100000\n60099 90168\n47744 71709\n21726 32744\n66800 100000\n87069 100000\n54196 81316\n79710 100000\n71506 100000\n48793 73264\n90043 100000\n21131 31848\n1439 2162\n27777 41828\n95467 100000\n3775 5698\n31645 47657\n48645 73040\n59176 88771\n45291 68063\n25121 37864\n79071 100000\n40949 61585\n69497 100000\n39073 58779\n49409 74192\n1428 2144\n89870 100000\n24314 36647\n15446 23270\n25349 38202\n24597 37064\n73115 100000\n97283 100000\n22831 34393\n86151 100000\n51451 77223\n69671 100000\n40934 61563\n17110 25776\n90489 100000\n54412 81638\n20181 30391\n79617 100000\n23540 35484\n42535 63954\n19337 29132\n26467 39880\n25164 37922\n17830 26862\n67015 100000\n49200 73879\n47251 70981\n83966 100000\n49167 73828\n89856 100000\n43207 64951\n48918 73447\n94282 100000\n48117 72253\n49924 74953\n32056 48275\n92391 100000\n91946 100000\n5369 8064\n40911 61527\n33810 50905\n2933 4440\n51298 76996\n96467 100000\n66158 99236\n1091 1627\n56313 84479\n24394 36765\n2459 3716\n37245 56018\n54088 81153\n63511 95252\n90196 100000\n89057 100000\n68133 100000\n95930 100000\n63440 95147\n44226 66462\n1468 2210\n2926 4430\n20350 30642\n45832 68851\n72927 100000\n33260 50085\n98509 100000\n5302 7967\n88519 100000\n37 51\n83254 100000\n62906 94340\n6178 9278\n73113 100000\n93888 100000\n34309 51644\n45410 68238\n37146 55868\n45977 69069\n42214 63473\n10902 16402\n76894 100000\n62655 93979\n44025 66168\n57946 86927\n38981 58641\n73212 100000\n60658 91009\n53807 80748\n36763 55293\n91473 100000\n87398 100000\n43565 65489\n16393 24697\n58830 88251\n36928 55539\n46353 69637\n81216 100000\n20983 31619\n89268 100000\n34158 51416\n59268 88907\n28775 43330\n43602 65542\n26732 40269\n24990 37667\n61352 92051\n89927 100000\n14085 21212\n76232 100000\n21774 32821\n82548 100000\n64925 97377\n13211 19897\n24361 36715\n62057 93094\n91496 100000\n91744 100000\n65779 98650\n81370 100000\n33121 49882\n30981 46655\n35119 52834\n13991 21067\n23651 35647\n11937 17955\n25457 38371\n29502 44427\n59548 89338\n17460 26306\n84112 100000\n24645 37136\n66681 100000\n76820 100000\n85772 100000\n82410 100000\n82454 100000\n74171 100000\n50170 75327\n32779 49354\n27458 41349\n78793 100000\n71018 100000\n83101 100000\n96741 100000\n9876 14845\n75644 100000\n79451 100000\n81249 100000\n91532 100000\n46147 69321\n63885 95828\n72726 100000\n82053 100000\n74439 100000\n59654 89489\n48160 72318\n60310 90482\n57052 85586\n17877 26931\n84552 100000\n84797 100000\n17567 26467\n99350 100000\n80270 100000\n41289 62106\n81882 100000\n10205 15352\n39575 59537\n52976 79527\n14721 22161\n94312 100000\n77789 100000\n69043 100000\n24759 37320\n12448 18722\n12190 18340\n49209 73892\n33357 50224\n99080 100000\n7662 11515\n52672 79068\n59358 89047\n65079 97606\n38552 58003\n8728 13110\n41564 62508\n59838 89779\n90536 100000\n65898 98831\n66674 100000\n30623 46129\n22752 34277\n21290 32096\n53419 80183\n24214 36495\n27645 41627\n18282 27551\n99538 100000\n52557 78905\n33423 50319\n86487 100000\n2748 4158\n88428 100000\n68743 100000\n20915 31516\n96296 100000\n30754 46326\n31523 47478\n19317 29102\n50436 75716\n63329 94983\n13583 20451\n5205 7830\n14868 22389\n72264 100000\n45279 68046\n87313 100000\n80146 100000\n1313 1968\n99761 100000\n20750 31265\n31245 47054\n78823 100000\n60127 90213\n87813 100000\n29809 44898\n37483 56371\n16161 24355\n82195 100000\n41960 63102\n45748 68724\n7799 11716\n11679 17575\n71922 100000\n43777 65793\n67400 100000\n87636 100000\n54225 81358\n70800 100000\n15449 23273\n81727 100000\n65039 97546\n50011 75078\n39181 58947\n26238 39531\n17800 26819\n76183 100000\n45237 67988\n14794 22272\n98448 100000\n44980 67599\n62243 93373\n27255 41049\n87617 100000\n44156 66361\n919 1374\n45372 68184\n20430 30762\n98975 100000\n43442 65304\n8309 12477\n16562 24946\n74792 100000\n23083 34786\n25163 37921\n70505 100000\n96493 100000\n21675 32676\n27519 41445\n63097 94631\n48599 72970\n74585 100000\n21893 33008\n74151 100000\n5032 7575\n85346 100000\n66069 99093\n80156 100000\n12294 18495\n5007 7541\n98648 100000\n25172 37933\n77675 100000\n23354 35194\n9454 14212\n45903 68951\n26544 39991\n87098 100000\n3161 4779\n23608 35584\n50987 76538\n24453 36854\n84848 100000\n66372 99556\n51155 76786\n70817 100000\n88042 100000\n26409 39789\n86308 100000\n551 817\n23188 34949\n39696 59720\n56688 85042\n57305 85975\n90596 100000\n52524 78850\n70477 100000\n15662 23599\n39455 59356\n99106 100000\n43515 65414\n93947 100000\n20480 30840\n52694 79101\n39650 59652\n14891 22422\n9306 13982\n51609 77467\n11714 17628\n89203 100000\n9664 14527\n62811 94204\n27617 41588\n54706 82073\n17355 26145\n34286 51612\n48176 72342\n22848 34422\n37703 56699\n84522 100000\n65648 98469\n44881 67454\n99496 100000\n36029 54182\n6338 9519\n74178 100000\n8430 12651\n87786 100000\n80816 100000\n45579 68473\n73511 100000\n39695 59719\n3973 5995\n61749 92638\n49994 75053\n34359 51715\n80403 100000\n82511 100000\n80497 100000\n30846 46452\n85475 100000\n12666 19062\n64800 97195\n38882 58496\n82867 100000\n73321 100000\n95771 100000\n92454 100000\n39991 60153\n53210 79879\n27278 41085\n73213 100000\n34722 52247\n74158 100000\n22895 34492\n23054 34742\n30290 45634\n24470 36879\n59234 88854\n30787 46371\n50573 75922\n56078 84136\n65550 98323\n98556 100000\n60725 91117\n65622 98432\n57382 86085\n96349 100000\n61997 93007\n69451 100000\n31770 47846\n75601 100000\n93244 100000\n87291 100000\n84909 100000\n60302 90470\n86292 100000\n50939 76471\n32509 48956\n58261 87389\n67991 100000\n1053 1570\n76132 100000\n89925 100000\n58820 88235\n89552 100000\n26578 40042\n75590 100000\n33649 50660\n79308 100000\n74754 100000\n60115 90193\n17074 25725\n975 1457\n91579 100000\n23000 34661\n69546 100000\n41665 62660\n96565 100000\n67780 100000\n56965 85457\n73111 100000\n52240 78421\n16346 24632\n6702 10059\n41549 62488\n2481 3752\n88191 100000\n44781 67308\n9704 14585\n95753 100000\n39271 59079\n98072 100000\n31879 48013\n64497 96739\n73282 100000\n90731 100000\n59446 89179\n83959 100000\n60693 91063\n98168 100000\n44977 67594\n85135 100000\n2809 4261\n86113 100000\n69540 100000\n45759 68740\n73349 100000\n32732 49278\n19955 30056\n32153 48424\n55999 84015\n93877 100000\n14668 22083\n86122 100000\n3888 5862\n5100 7674\n60005 90023\n9562 14377\n50646 76036\n70384 100000\n55846 83790\n14749 22201\n12669 19068\n73745 100000\n53358 80096\n97460 100000\n89172 100000\n38760 58308\n58728 88088\n77020 100000\n2421 3658\n96406 100000\n83784 100000\n77018 100000\n86072 100000\n32795 49377\n20932 31540\n1332 1995\n40792 61353\n63479 95206\n36216 54466\n87243 100000\n60635 90976\n17262 26014\n66040 99049\n39977 60132\n8915 13391\n75436 100000\n56933 85408\n47147 70831\n67357 100000\n4099 6184\n30099 45351\n90431 100000\n84594 100000\n61867 92811\n17705 26681\n53707 80604\n37390 56231\n11099 16706\n16905 25458\n98973 100000\n49067 73674\n36085 54270\n69100 100000\n38921 58555\n79052 100000\n23298 35110\n7578 11385\n94369 100000\n84208 100000\n75226 100000\n11894 17891\n53214 79883\n42203 63457\n84258 100000\n40148 60386\n77533 100000\n4684 7064\n12293 18493\n75807 100000\n63835 95755\n89924 100000\n58626 87928\n87736 100000\n47149 70835\n35189 52940\n72865 100000\n53588 80421\n33187 49975\n35099 52804\n85641 100000\n35017 52676\n7544 11337\n96810 100000\n13732 20675\n16437 24760\n87016 100000\n35808 53858\n3725 5624\n28464 42856\n44841 67395\n79133 100000\n28292 42601\n64036 96051\n79358 100000\n81747 100000\n74273 100000\n73544 100000\n93400 100000\n45332 68127\n82747 100000\n94435 100000\n94586 100000\n58367 87547\n45140 67841\n24080 36297\n42003 63165\n49139 73782\n60219 90349\n58230 87341\n57086 85637\n90848 100000\n62108 93169\n15163 22836\n34783 52336\n52714 79131\n79728 100000\n53404 80163\n2985 4516\n91816 100000\n25495 38427\n9220 13853\n76337 100000\n978 1462\n63553 95323\n78385 100000\n7342 11030\n29897 45030\n26450 39855\n16959 25542\n464 685\n73096 100000\n3053 4618\n2887 4379\n3882 5853\n29609 44594\n57267 85915\n49223 73916\n7853 11798\n22763 34295\n60691 91059\n74286 100000\n28038 42208\n55132 82724\n96727 100000\n70444 100000\n41842 62922\n40499 60912\n24237 36528\n47467 71307\n70682 100000\n61579 92381\n89609 100000\n97767 100000\n78345 100000\n20559 30962\n45316 68101\n56077 84135\n83528 100000\n88064 100000\n93551 100000\n580 862\n6872 10316\n15303 23048\n64915 97361\n78588 100000\n1250 1871\n29252 44052\n72496 100000\n61455 92203\n88353 100000\n21450 32340\n21899 33018\n24319 36653\n36283 54570\n92947 100000\n53481 80268\n52640 79023\n96118 100000\n97228 100000\n3792 5718\n54885 82342\n34209 51493\n95737 100000\n88431 100000\n67963 100000\n98340 100000\n68102 100000\n56512 84777\n3871 5834\n49549 74408\n74916 100000\n56397 84608\n35781 53817\n86216 100000\n78597 100000\n55591 83424\n46798 70295\n20384 30690\n51089 76687\n43850 65900\n81988 100000\n16781 25270\n40565 61014\n93833 100000\n23369 35219\n47023 70647\n52613 78985\n36089 54277\n63551 95320\n12463 18746\n23542 35486\n58695 88031\n56998 85506\n36778 55316\n94260 100000\n13559 20415\n43380 65217\n46719 70182\n38974 58631\n52531 78862\n15077 22704\n46563 69948\n68658 100000\n38802 58374\n25401 38283\n91093 100000\n54182 81293\n98361 100000\n44913 67495\n14586 21958\n96106 100000\n93634 100000\n85309 100000\n91518 100000\n36274 54556\n16380 24679\n60130 90216\n4007 6043\n38774 58330\n65581 98369\n87095 100000\n96468 100000\n65284 97917\n40652 61139\n15343 23117\n46317 69583\n38176 57438\n16316 24586\n70669 100000\n46090 69234\n15129 22781\n6875 10321\n26832 40419\n93927 100000\n7750 11645\n6939 10417\n79538 100000\n72560 100000\n30690 46231\n23264 35060\n69484 100000\n64895 97336\n26051 39254\n93025 100000\n415 610\n95637 100000\n87427 100000\n3244 4909\n35146 52873\n12527 18845\n74847 100000\n4821 7266\n89773 100000\n31981 48165\n81971 100000\n81130 100000\n41983 63135\n71315 100000\n93180 100000\n93178 100000\n49554 74415\n71935 100000\n12032 18094\n48822 73307\n61497 92265\n10675 16054\n57952 86935\n33692 50725\n38371 57732\n4093 6175\n78875 100000\n13519 20354\n48242 72445\n76855 100000\n93276 100000\n46295 69552\n86237 100000\n12425 18690\n12118 18229\n81078 100000\n58992 88500\n65827 98724\n99291 100000\n37060 55741\n53260 79949\n58989 88496\n3319 5019\n401 590\n64062 96085\n91484 100000\n54425 81656\n36344 54666\n72152 100000\n13761 20721\n81700 100000\n20222 30452\n38589 58054\n79776 100000\n615 920\n73899 100000\n73450 100000\n77073 100000\n98808 100000\n5971 8975\n68775 100000\n42381 63721\n21307 32124\n23308 35125\n89276 100000\n70280 100000\n66826 100000\n52324 78549\n64905 97348\n51475 77259\n40671 61168\n55136 82728\n61598 92413\n93010 100000\n34202 51483\n42608 64063\n4273 6439\n47869 71898\n50999 76557\n57361 86055\n76998 100000\n35412 53271\n87105 100000\n73642 100000\n90996 100000\n60241 90385\n47977 72060\n7682 11544\n30106 45360\n4429 6677\n38915 58547\n32452 48864\n89793 100000\n79526 100000\n98453 100000\n29637 44637\n90639 100000\n13425 20223\n98547 100000\n76106 100000\n57504 86259\n63981 95967\n60835 91278\n58146 87223\n16679 25124\n51441 77206\n73722 100000\n44457 66810\n69782 100000\n32365 48745\n1462 2200\n71606 100000\n61852 92790\n54113 81185\n96533 100000\n95998 100000\n65037 97543\n31987 48175\n25885 39024\n54808 82227\n48520 72864\n58908 88366\n49068 73675\n12007 18055\n13833 20829\n99392 100000\n12013 18066\n75744 100000\n10167 15294\n79533 100000\n37328 56138\n53316 80036\n9148 13745\n1536 2306\n7371 11076\n4305 6490\n35192 52945\n62605 93901\n98488 100000\n7900 11871\n23366 35213\n44545 66945\n4788 7220\n17139 25822\n85006 100000\n12736 19171\n84341 100000\n14781 22251\n21608 32575\n93660 100000\n52256 78444\n53579 80409\n70652 100000\n93047 100000\n68191 100000\n67452 100000\n88642 100000\n78704 100000\n24413 36792\n67136 100000\n61434 92174\n24981 37656\n26228 39514\n52021 78090\n78241 100000\n47968 72047\n1990 3006\n94409 100000\n96284 100000\n67124 100000\n63991 95982\n69353 100000\n65847 98753\n62534 93796\n96362 100000\n204 294\n60272 90427\n53749 80662\n60639 90982\n48443 72740\n97174 100000\n72216 100000\n72920 100000\n69638 100000\n67867 100000\n10641 15999\n38689 58195\n75455 100000\n89996 100000\n23167 34917\n6766 10160\n32312 48663\n94475 100000\n90522 100000\n88614 100000\n28270 42567\n7962 11963\n2011 3038\n98612 100000\n93325 100000\n58980 88482\n22428 33800\n80731 100000\n72577 100000\n42752 64271\n26451 39856\n69330 100000\n79558 100000\n48540 72893\n29239 44030\n4452 6711\n65337 97994\n84388 100000\n14546 21896\n22193 33453\n18043 27184\n23605 35581\n78226 100000\n88196 100000\n70796 100000\n80495 100000\n62748 94110\n32277 48612\n59037 88569\n37628 56588\n98888 100000\n10537 15842\n3493 5278\n44652 67111\n60753 91163\n79914 100000\n55581 83408\n90138 100000\n23332 35161\n36523 54932\n32741 49292\n91094 100000\n59387 89092\n24985 37661\n86734 100000\n17646 26591\n61913 92883\n63116 94659\n5923 8906\n31678 47706\n31906 48054\n49355 74116\n95285 100000\n82382 100000\n90513 100000\n89768 100000\n86067 100000\n93858 100000\n98395 100000\n99165 100000\n78508 100000\n59483 89239\n79135 100000\n83100 100000\n87186 100000\n47282 71027\n85593 100000\n32498 48938\n56689 85044\n49592 74476\n71919 100000\n84991 100000\n4541 6848\n81018 100000\n52559 78909\n80198 100000\n20818 31371\n76677 100000\n47718 71670\n85387 100000\n97888 100000\n46433 69756\n99346 100000\n47815 71818\n45541 68421\n3565 5382\n87293 100000\n10817 16271\n73197 100000\n58194 87291\n75991 100000\n59199 88808\n31081 46801\n93989 100000\n56075 84132\n7292 10952\n33059 49788\n98459 100000\n65423 98131\n59205 88814\n25074 37794\n66587 99871\n44138 66333\n84405 100000\n80303 100000\n48783 73249\n79278 100000\n90322 100000\n81853 100000\n42699 64196\n24166 36423\n2324 3515\n25534 38487\n11183 16824\n21358 32204\n81647 100000\n66218 99323\n9867 14832\n52340 78576\n28588 43042\n2604 3938\n15032 22635\n75353 100000\n45111 67799\n89904 100000\n91052 100000\n47864 71891\n5360 8051\n54594 81913\n74300 100000\n53397 80151\n94742 100000\n22674 34159\n95924 100000\n80466 100000\n87022 100000\n78429 100000\n63051 94560\n9294 13965\n88333 100000\n5396 8100\n31251 47061\n13590 20460\n511 755\n8099 12166\n72340 100000\n5514 8278\n71319 100000\n65146 97709\n2751 4164\n50552 75893\n25413 38302\n61265 91922\n52659 79049\n98050 100000\n89581 100000\n68283 100000\n46447 69777\n39685 59707\n32319 48674\n14926 22477\n76618 100000\n62330 93501\n32047 48261\n86087 100000\n6373 9568\n35303 53104\n88795 100000\n1165 1738\n64213 96312\n77897 100000\n97653 100000\n8350 12534\n87844 100000\n60488 90754\n90151 100000\n8930 13415\n90022 100000\n38061 57259\n52639 79022\n6604 9908\n91618 100000\n35934 54045\n16218 24436\n58198 87295\n58129 87199\n31469 47399\n67761 100000\n87566 100000\n69067 100000\n68857 100000\n78653 100000\n42513 63921\n76791 100000\n75785 100000\n58294 87437\n87151 100000\n45791 68789\n25703 38750\n76284 100000\n68260 100000\n51478 77264\n98249 100000\n61911 92881\n93557 100000\n72919 100000\n83155 100000\n76222 100000\n99206 100000\n16334 24613\n57152 85737\n94543 100000\n14408 21686\n2241 3391\n42299 63599\n47729 71685\n25317 38154\n9735 14634\n99794 100000\n77371 100000\n82105 100000\n15070 22694\n34369 51730\n27637 41614\n89126 100000\n63135 94690\n73413 100000\n50486 75790\n64738 97098\n72398 100000\n14837 22335\n13525 20361\n60418 90648\n56442 84672\n57539 86312\n23034 34712\n80931 100000\n32969 49649\n68006 100000\n22789 34335\n87503 100000\n49070 73678\n52223 78399\n33204 49999\n83446 100000\n79541 100000\n79239 100000\n51669 77560\n11611 17469\n73875 100000\n91154 100000\n56588 84890\n67470 100000\n3371 5099\n92457 100000\n95747 100000\n26903 40531\n48995 73565\n23725 35760\n20249 30490\n38164 57423\n31305 47149\n14369 21625\n56217 84346\n874 1306\n50595 75957\n58638 87944\n81773 100000\n25929 39089\n97347 100000\n80069 100000\n2485 3759\n39807 59887\n67213 100000\n26185 39452\n92596 100000\n10394 15639\n71558 100000\n75627 100000\n91940 100000\n80018 100000\n90998 100000\n68362 100000\n14701 22129\n40000 60167\n77391 100000\n56248 84391\n78318 100000\n63597 95396\n82002 100000\n20815 31365\n23161 34909\n32286 48627\n17673 26630\n73795 100000\n31363 47235\n51952 77988\n66707 100000\n29991 45181\n96744 100000\n98752 100000\n41205 61984\n15604 23508\n43052 64718\n70020 100000\n81542 100000\n85288 100000\n73222 100000\n70737 100000\n10945 16473\n12073 18159\n53402 80159\n34713 52235\n90593 100000\n4922 7422\n4740 7150\n38556 58008\n498 736\n761 1141\n33631 50635\n35766 53792\n17051 25687\n52657 79046\n63281 94910\n43345 65164\n46 67\n49544 74400\n14002 21084\n16783 25273\n5278 7933\n9732 14630\n93538 100000\n19197 28919\n38856 58461\n49884 74895\n90762 100000\n28761 43308\n34085 51313\n89781 100000\n77312 100000\n26515 39947\n51676 77572\n78103 100000\n64289 96424\n38056 57251\n85252 100000\n65639 98458\n17792 26808\n23087 34793\n10506 15799\n70078 100000\n98483 100000\n26248 39544\n26117 39353\n39883 59997\n75765 100000\n59963 89962\n97582 100000\n52470 78767\n89965 100000\n51156 76788\n77491 100000\n80472 100000\n3626 5473\n76218 100000\n2613 3952\n24630 37117\n47132 70811\n5160 7764\n69557 100000\n78607 100000\n30582 46065\n92076 100000\n75512 100000\n69998 100000\n34963 52595\n67305 100000\n70832 100000\n69705 100000\n41825 62899\n9005 13529\n71595 100000\n70960 100000\n20968 31596\n26491 39915\n91214 100000\n53718 80620\n77095 100000\n51348 77068\n23520 35450\n87960 100000\n58881 88326\n94708 100000\n38177 57439\n22191 33449\n60142 90235\n3254 4923\n73834 100000\n43664 65632\n1817 2743\n64100 96143\n42087 63288\n35860 53937\n24995 37674\n3482 5263\n80361 100000\n77642 100000\n33329 50184\n6744 10124\n21792 32850\n34129 51377\n59789 89697\n45293 68067\n93801 100000\n90772 100000\n56937 85414\n16242 24476\n34535 51971\n83955 100000\n47676 71610\n78545 100000\n30844 46449\n886 1324\n37787 56836\n42740 64255\n31812 47909\n58162 87243\n1381 2075\n75910 100000\n28753 43297\n10230 15391\n47120 70792\n51809 77779\n21967 33125\n85301 100000\n69012 100000\n27489 41396\n64564 96836\n58926 88393\n73012 100000\n44024 66166\n73969 100000\n61237 91877\n63608 95413\n61827 92750\n43132 64836\n21506 32422\n18122 27302\n99492 100000\n55831 83769\n4914 7411\n14580 21949\n8852 13301\n93581 100000\n54675 82025\n64923 97374\n17339 26124\n74796 100000\n17267 26023\n78324 100000\n61214 91844\n45323 68112\n29255 44056\n11800 17757\n10632 15984\n16254 24495\n75706 100000\n11479 17278\n61926 92899\n89331 100000\n30766 46341\n65455 98182\n36760 55289\n50064 75160\n20123 30304\n35729 53739\n14614 22000\n19879 29940\n90944 100000\n60068 90120\n69577 100000\n43401 65249\n1620 2438\n26924 40563\n4552 6865\n39209 58985\n88283 100000\n52106 78215\n86849 100000\n27607 41574\n95691 100000\n68485 100000\n56838 85264\n96422 100000\n22474 33867\n1291 1938\n29213 43993\n47932 71989\n29979 45164\n50483 75786\n93532 100000\n28386 42739\n31244 47053\n25608 38600\n84962 100000\n58503 87740\n52368 78615\n59399 89111\n7847 11790\n67249 100000\n37325 56134\n39265 59068\n45077 67744\n56571 84862\n56960 85450\n66171 99257\n21852 32942\n81867 100000\n22151 33391\n58824 88241\n91385 100000\n3172 4798\n64839 97250\n61067 91620\n20702 31187\n37162 55893\n85986 100000\n82516 100000\n59922 89902\n97364 100000\n89784 100000\n28922 43550\n73654 100000\n32810 49401\n11886 17878\n20224 30455\n11840 17813\n10686 16072\n8474 12723\n17958 27056\n14600 21980\n84347 100000\n26220 39500\n62887 94312\n544 804\n11861 17844\n33184 49971\n28542 42970\n31319 47166\n82955 100000\n28754 43298\n96289 100000\n83668 100000\n55509 83298\n92128 100000\n73842 100000\n42138 63365\n92796 100000\n34829 52406\n77045 100000\n283 407\n7879 11840\n64723 97075\n5765 8656\n45450 68293\n25899 39044\n73386 100000\n87143 100000\n26029 39222\n85164 100000\n7273 10923\n95996 100000\n99510 100000\n44791 67322\n53721 80623\n71703 100000\n44048 66202\n866 1292\n53929 80922\n25593 38575\n82178 100000\n48440 72735\n91022 100000\n76377 100000\n62059 93097\n38505 57928\n47524 71391\n3607 5445\n71635 100000\n88204 100000\n23263 35059\n38846 58444\n8906 13378\n78299 100000\n22048 33240\n61461 92214\n6312 9482\n56202 84323\n26255 39555\n73909 100000\n72280 100000\n18729 28227\n42643 64117\n30270 45607\n16140 24325\n1603 2411\n58128 87198\n68571 100000\n64207 96304\n90664 100000\n40360 60704\n52597 78967\n12053 18127\n796 1191\n77229 100000\n47135 70815\n66895 100000\n76828 100000\n9844 14797\n90038 100000\n27859 41946\n29499 44423\n3922 5916\n53810 80753\n79664 100000\n47070 70716\n10248 15416\n80471 100000\n89052 100000\n85583 100000\n42583 64022\n26400 39775\n80116 100000\n21433 32310\n71465 100000\n13148 19811\n9747 14651\n88105 100000\n94908 100000\n56047 84090\n98235 100000\n48269 72483\n74763 100000\n1085 1620\n58609 87901\n54790 82199\n53250 79938\n30528 45983\n19920 30004\n29767 44838\n23150 34891\n64262 96382\n95457 100000\n89684 100000\n41766 62813\n39281 59095\n90645 100000\n85211 100000\n15085 22716\n20148 30341\n71501 100000\n31746 47808\n78223 100000\n59480 89234\n15351 23132\n21731 32751\n22098 33315\n22136 33368\n26022 39211\n54688 82046\n63309 94955\n65615 98420\n62823 94224\n15007 22598\n89778 100000\n85984 100000\n31611 47609\n74276 100000\n31290 47125\n48439 72734\n72505 100000\n49231 73928\n36384 54725\n26196 39469\n14897 22431\n68925 100000\n87828 100000\n19076 28731\n86199 100000\n71350 100000\n50490 75796\n13495 20321\n3505 5295\n79496 100000\n55865 83817\n75019 100000\n16610 25018\n60522 90804\n95670 100000\n38969 58622\n71208 100000\n6969 10461\n64075 96105\n26678 40190\n34378 51743\n45018 67654\n95250 100000\n79827 100000\n1390 2089\n15994 24098\n33636 50644\n64572 96849\n36739 55255\n86980 100000\n20701 31185\n31012 46698\n49396 74175\n74769 100000\n20554 30953\n31773 47851\n58540 87795\n35013 52672\n11015 16577\n9976 15003\n8618 12939\n37890 56996\n24277 36589\n84215 100000\n35888 53973\n80428 100000\n2109 3189\n13005 19589\n54849 82287\n37801 56857\n72784 100000\n32182 48470\n75095 100000\n93857 100000\n70989 100000\n58961 88448\n83006 100000\n83231 100000\n97650 100000\n53694 80581\n94915 100000\n89355 100000\n64567 96841\n17923 27005\n82699 100000\n99634 100000\n56892 85348\n26323 39655\n21400 32262\n91040 100000\n46601 70005\n59032 88561\n91705 100000\n97842 100000\n10206 15354\n80982 100000\n66192 99286\n43459 65327\n63404 95097\n40645 61129\n53082 79690\n10397 15644\n19990 30109\n8758 13153\n85027 100000\n30866 46479\n17640 26584\n26180 39446\n8856 13305\n24620 37099\n22152 33393\n63853 95782\n20578 30990\n66448 99668\n75225 100000\n91846 100000\n58495 87730\n43007 64647\n42865 64437\n65410 98108\n65782 98654\n8743 13131\n33556 50518\n45734 68703\n77096 100000\n89921 100000\n44210 66441\n90266 100000\n21554 32496\n35422 53286\n89445 100000\n34173 51442\n34306 51640\n58985 88490\n95038 100000\n75033 100000\n37062 55744\n156 226\n43856 65908\n56808 85215\n18782 28304\n46588 69986\n18995 28614\n31975 48154\n4146 6255\n45936 69002\n15020 22618\n24752 37308\n38504 57927\n68445 100000\n75422 100000\n45273 68037\n97327 100000\n91133 100000\n994 1486\n62406 93611\n9308 13986\n99603 100000\n38662 58159\n77652 100000\n57452 86189\n43431 65289\n6648 9978\n95549 100000\n80559 100000\n37017 55675\n49407 74189\n78853 100000\n30439 45854\n53424 80191\n79758 100000\n56699 85060\n14725 22166\n59080 88631\n60908 91384\n67511 100000\n83284 100000\n93621 100000\n80311 100000\n33513 50452\n39235 59024\n74859 100000\n84291 100000\n32357 48733\n77844 100000\n23912 36042\n24674 37180\n88221 100000\n4004 6040\n94627 100000\n84557 100000\n43104 64797\n39521 59458\n50086 75194\n93332 100000\n54070 81127\n32943 49607\n56055 84103\n1184 1766\n65290 97928\n61402 92127\n18410 27743\n62576 93863\n89426 100000\n57058 85597\n19387 29203\n44580 66998\n58370 87551\n91868 100000\n87062 100000\n91166 100000\n15660 23596\n58087 87135\n96709 100000\n86079 100000\n95437 100000\n6315 9487\n14850 22357\n88153 100000\n18643 28102\n13575 20439\n10856 16326\n77362 100000\n29626 44620\n57775 86666\n62991 94466\n50007 75072\n64169 96246\n72246 100000\n18664 28135\n95351 100000\n85402 100000\n88534 100000\n17163 25861\n70574 100000\n78216 100000\n37997 57156\n72281 100000\n42322 63633\n47552 71432\n46686 70129\n4955 7469\n85335 100000\n99536 100000\n79948 100000\n84325 100000\n80393 100000\n86005 100000\n609 911\n73389 100000\n93369 100000\n98096 100000\n71661 100000\n73565 100000\n36055 54221\n75278 100000\n79251 100000\n25253 38059\n21577 32530\n1156 1724\n23910 36039\n56411 84629\n15913 23978\n39215 58992\n97230 100000\n5992 9003\n56154 84251\n23343 35178\n4149 6260\n79468 100000\n28806 43379\n50665 76064\n66971 100000\n35598 53534\n78503 100000\n88114 100000\n11672 17564\n31134 46885\n65295 97936\n55500 83283\n51690 77593\n68508 100000\n20603 31030\n14392 21660\n47673 71607\n29827 44930\n61220 91854\n54121 81199\n3346 5062\n86683 100000\n43661 65628\n49386 74161\n7815 11740\n64828 97233\n1229 1839\n86383 100000\n43240 65000\n251 356\n47895 71938\n8621 12944\n68819 100000\n44856 67416\n40906 61521\n92466 100000\n49055 73654\n78342 100000\n88537 100000\n94987 100000\n44050 66204\n88482 100000\n58207 87309\n54880 82335\n75904 100000\n16924 25492\n21788 32844\n44176 66389\n40021 60200\n77082 100000\n40729 61257\n3320 5020\n45589 68486\n2649 4002\n69894 100000\n19662 29611\n31513 47463\n51554 77385\n65969 98944\n23728 35764\n21460 32354\n7885 11849\n21787 32842\n90826 100000\n44613 67050\n47687 71625\n75066 100000\n48937 73477\n82992 100000\n28030 42195\n51576 77416\n89988 100000\n10369 15598\n27186 40946\n14746 22196\n4364 6580\n50009 75075\n70575 100000\n63038 94538\n65512 98271\n37055 55734\n39354 59211\n95934 100000\n1656 2493\n22176 33426\n74643 100000\n22811 34364\n44684 67158\n4995 7523\n15256 22975\n77777 100000\n10185 15321\n34579 52034\n66626 99930\n49040 73630\n33183 49970\n19927 30014\n9904 14889\n23847 35945\n9998 15040\n58381 87567\n58624 87924\n2717 4108\n44167 66377\n37629 56589\n96445 100000\n95995 100000\n25700 38746\n81279 100000\n73640 100000\n36107 54301\n26143 39393\n71903 100000\n5819 8740\n25246 38049\n13714 20650\n67185 100000\n79472 100000\n68175 100000\n32171 48454\n79156 100000\n44259 66514\n73754 100000\n53199 79865\n80681 100000\n26360 39714\n42737 64252\n74462 100000\n41552 62493\n74718 100000\n55218 82854\n59109 88676\n71842 100000\n68356 100000\n85266 100000\n10946 16474\n58962 88450\n53863 80829\n37470 56353\n62955 94413\n41335 62176\n12121 18233\n77195 100000\n75383 100000\n36616 55081\n37472 56357\n56109 84184\n84575 100000\n85209 100000\n85601 100000\n47979 72064\n44387 66711\n23994 36168\n58839 88264\n11470 17264\n55316 83005\n82165 100000\n22771 34307\n51191 76840\n85521 100000\n92974 100000\n63119 94663\n72747 100000\n37782 56827\n29163 43918\n59519 89291\n76653 100000\n78608 100000\n94775 100000\n58519 87765\n43286 65073\n21281 32081\n8251 12391\n41182 61947\n13231 19929\n59959 89955\n95420 100000\n39850 59949\n65062 97578\n53450 80229\n89861 100000\n1206 1804\n88793 100000\n79426 100000\n13689 20611\n81131 100000\n83011 100000\n63504 95243\n61084 91646\n21895 33011\n79252 100000\n78534 100000\n58298 87444\n69884 100000\n61532 92313\n10015 15065\n93729 100000\n36154 54371\n70408 100000\n90695 100000\n68855 100000\n56471 84716\n28149 42387\n56637 84964\n74035 100000\n77191 100000\n64053 96073\n5180 7793\n17970 27074\n4625 6975\n45802 68805\n90542 100000\n57017 85537\n16686 25134\n87691 100000\n27198 40963\n78313 100000\n34456 51858\n44558 66964\n5125 7710\n93322 100000\n37293 56090\n20858 31433\n51596 77447\n56125 84206\n70631 100000\n21939 33078\n80278 100000\n98505 100000\n46590 69989\n46813 70317\n16989 25591\n21650 32639\n90364 100000\n11599 17453\n95654 100000\n87090 100000\n16183 24386\n93485 100000\n52443 78727\n941 1405\n87820 100000\n55881 83837\n6588 9886\n73943 100000\n2572 3893\n29496 44417\n60979 91491\n88686 100000\n91112 100000\n24391 36762\n50668 76069\n21189 31938\n26906 40536\n96 144\n24441 36837\n90078 100000\n76366 100000\n35569 53490\n45013 67647\n87690 100000\n4030 6079\n92644 100000\n18735 28236\n89983 100000\n95291 100000\n59785 89690\n92833 100000\n56206 84329\n876 1309\n39384 59257\n49008 73583\n98496 100000\n30984 46658\n67769 100000\n47444 71267\n17184 25893\n86253 100000\n34849 52432\n19157 28858\n13123 19769\n69610 100000\n7365 11066\n18087 27248\n21452 32343\n5270 7919\n47462 71297\n27549 41488\n33838 50946\n20846 31415\n94804 100000\n42596 64045\n26175 39439\n30714 46266\n88653 100000\n30818 46413\n49126 73761\n97175 100000\n40928 61553\n1496 2246\n49483 74306\n18419 27757\n57190 85794\n41202 61980\n93873 100000\n20456 30803\n81232 100000\n80965 100000\n91669 100000\n50861 76355\n24328 36666\n61523 92301\n78669 100000\n29212 43992\n18345 27646\n40941 61574\n55159 82766\n40288 60596\n38460 57862\n65960 98929\n98650 100000\n29291 44111\n89461 100000\n44429 66771\n38652 58144\n70767 100000\n38184 57450\n14631 22027\n58413 87610\n83113 100000\n95356 100000\n15871 23917\n39875 59986\n3383 5118\n81135 100000\n86657 100000\n82657 100000\n79633 100000\n66149 99221\n74836 100000\n10285 15470\n67360 100000\n32660 49175\n2780 4213\n34871 52464\n291 420\n88637 100000\n99383 100000\n96129 100000\n34884 52482\n4944 7452\n2414 3646\n95620 100000\n13644 20541\n80179 100000\n13577 20441\n40415 60786\n43701 65682\n13142 19800\n86363 100000\n34835 52413\n33818 50920\n34969 52603\n97720 100000\n23584 35550\n18910 28489\n69483 100000\n21046 31715\n32796 49379\n70279 100000\n45214 67954\n13088 19715\n4173 6296\n1490 2237\n91690 100000\n67748 100000\n36641 55117\n65428 98140\n28586 43040\n49608 74499\n60043 90080\n17256 26006\n44873 67442\n89124 100000\n25070 37788\n34669 52173\n87227 100000\n61200 91823\n10915 16423\n55017 82545\n46174 69363\n18556 27973\n6039 9070\n22639 34105\n39175 58938\n13545 20392\n48639 73031\n21218 31979\n37583 56521\n5696 8556\n16829 25337\n29304 44132\n99968 100000\n99229 100000\n35976 54106\n91350 100000\n84528 100000\n62392 93590\n25542 38498\n20634 31078\n61463 92216\n47214 70929\n59238 88861\n72755 100000\n56549 84833\n53661 80530\n6743 10123\n74241 100000\n8599 12910\n75445 100000\n78232 100000\n71261 100000\n39250 59047\n34528 51960\n22724 34236\n92691 100000\n70493 100000\n69835 100000\n47297 71050\n82131 100000\n50473 75769\n10756 16176\n13195 19875\n66186 99277\n127 185\n67059 100000\n3506 5297\n59961 89959\n67676 100000\n34048 51254\n58210 87313\n83091 100000\n89285 100000\n15630 23549\n21833 32913\n5285 7944\n37989 57145\n95074 100000\n32058 48279\n50614 75989\n68335 100000\n1270 1904\n48456 72758\n98553 100000\n86947 100000\n42137 63364\n56005 84027\n41192 61966\n96640 100000\n95099 100000\n44059 66217\n2818 4274\n89792 100000\n10674 16053\n97168 100000\n91185 100000\n14581 21950\n47732 71690\n43650 65614\n20774 31301\n89771 100000\n48330 72575\n51248 76924\n44175 66387\n22055 33249\n57253 85893\n16277 24529\n25048 37754\n28233 42510\n4041 6096\n47406 71210\n3709 5598\n95387 100000\n67514 100000\n20705 31193\n10191 15332\n30969 46634\n48470 72781\n21084 31777\n42165 63402\n18239 27483\n31327 47179\n66468 99696\n19625 29558\n71785 100000\n78067 100000\n67041 100000\n87005 100000\n22529 33946\n20689 31164\n65708 98554\n11721 17639\n27821 41892\n9304 13978\n88212 100000\n78509 100000\n98856 100000\n38242 57537\n58472 87696\n36346 54670\n94037 100000\n69375 100000\n76698 100000\n37482 56370\n23420 35292\n8814 13242\n49234 73931\n1535 2304\n37499 56395\n35330 53145\n42886 64468\n67499 100000\n34450 51850\n52957 79500\n52130 78257\n63360 95028\n84135 100000\n89405 100000\n43351 65173\n97943 100000\n78541 100000\n40868 61468\n14206 21387\n89715 100000\n38490 57904\n91268 100000\n95416 100000\n30057 45279\n28333 42656\n58906 88362\n9418 14155\n80426 100000\n81207 100000\n51771 77718\n30791 46376\n42178 63423\n6780 10181\n16778 25266\n77758 100000\n61110 91689\n87512 100000\n94750 100000\n34088 51319\n19849 29891\n36225 54479\n47346 71123\n9025 13561\n48855 73355\n47538 71413\n87546 100000\n26607 40081\n41239 62029\n30053 45273\n13911 20951\n96190 100000\n26102 39330\n67484 100000\n4694 7078\n39313 59147\n64835 97243\n34966 52599\n74309 100000\n74339 100000\n29065 43769\n62661 93989\n7294 10956\n95218 100000\n47683 71620\n39707 59735\n78562 100000\n39997 60162\n61561 92355\n98300 100000\n10698 16091\n32536 48995\n82144 100000\n4431 6680\n33095 49846\n97808 100000\n79466 100000\n20215 30443\n40837 61418\n74046 100000\n89547 100000\n11117 16734\n88981 100000\n288 415\n44606 67040\n99089 100000\n7477 11242\n39298 59120\n91876 100000\n91595 100000\n26313 39642\n87822 100000\n477 702\n14542 21891\n52230 78406\n83731 100000\n15393 23194\n46888 70429\n36687 55181\n28525 42943\n3765 5682\n60551 90846\n53421 80186\n96686 100000\n31275 47100\n4191 6323\n38626 58105\n88190 100000\n38672 58172\n86100 100000\n56759 85145\n88792 100000\n22103 33323\n83114 100000\n6527 9802\n92996 100000\n31707 47754\n68199 100000\n1736 2615\n48048 72163\n48657 73059\n54685 82042\n74425 100000\n12047 18118\n20415 30741\n86576 100000\n15559 23443\n33564 50532\n69222 100000\n49113 73740\n71082 100000\n650 973\n68822 100000\n79055 100000\n55209 82842\n4326 6525\n99119 100000\n83911 100000\n40654 61143\n62917 94356\n98228 100000\n28944 43584\n4810 7253\n97578 100000\n74849 100000\n14285 21498\n36230 54485\n37982 57134\n10894 16388\n4816 7260\n29632 44629\n82418 100000\n65514 98275\n2138 3236\n78070 100000\n98583 100000\n43143 64852\n5269 7918\n11043 16618\n67395 100000\n79274 100000\n56523 84795\n95361 100000\n1084 1619\n46148 69322\n61958 92945\n65310 97956\n54712 82081\n56474 84722\n81084 100000\n10131 15240\n82403 100000\n88621 100000\n58954 88439\n70496 100000\n38617 58091\n31163 46930\n96985 100000\n37072 55759\n25184 37952\n77209 100000\n16730 25196\n98039 100000\n59095 88655\n63947 95915\n81237 100000\n13112 19752\n23507 35430\n89245 100000\n49340 74092\n94711 100000\n47876 71909\n24457 36860\n99594 100000\n5142 7736\n69194 100000\n18400 27727\n30277 45616\n41679 62682\n72066 100000\n25992 39169\n11584 17429\n38530 57970\n94730 100000\n72060 100000\n32643 49155\n3064 4635\n3420 5173\n76679 100000\n65059 97574\n33508 50446\n16660 25093\n42123 63341\n50739 76173\n96128 100000\n83271 100000\n69505 100000\n69187 100000\n77983 100000\n25389 38266\n36261 54536\n94043 100000\n10636 15991\n24400 36775\n27068 40763\n23141 34876\n5061 7616\n1350 2024\n77657 100000\n19359 29160\n99122 100000\n62325 93494\n94734 100000\n84003 100000\n59503 89266\n97675 100000\n6655 9989\n12318 18528\n38309 57644\n40760 61306\n49957 75001\n95577 100000\n22495 33897\n58390 87577\n99836 100000\n17578 26487\n4712 7104\n51921 77942\n45304 68084\n60558 90858\n38839 58432\n15592 23490\n20930 31537\n32997 49694\n14867 22387\n27074 40772\n17588 26503\n89602 100000\n52858 79345\n36662 55145\n61171 91780\n82324 100000\n74862 100000\n91442 100000\n10554 15872\n56160 84262\n84278 100000\n70582 100000\n72275 100000\n80325 100000\n9536 14337\n59616 89435\n38705 58221\n51962 78003\n29189 43958\n28610 43076\n60077 90134\n40320 60641\n80926 100000\n21442 32325\n58967 88459\n34921 52536\n38380 57746\n24173 36434\n58897 88351\n9924 14923\n9943 14951\n17735 26727\n53728 80632\n7291 10951\n66077 99104\n78076 100000\n69699 100000\n92476 100000\n34796 52354\n22448 33828\n27852 41935\n7441 11185\n26927 40566\n30244 45572\n33686 50717\n13705 20636\n13863 20876\n67338 100000\n50183 75346\n68904 100000\n8051 12096\n67695 100000\n32057 48277\n82565 100000\n27400 41256\n66832 100000\n29844 44957\n22509 33915\n98439 100000\n25688 38729\n7582 11392\n35819 53873\n98264 100000\n26622 40104\n79624 100000\n43803 65834\n86652 100000\n24648 37139\n95907 100000\n89147 100000\n71132 100000\n2042 3085\n15261 22982\n86935 100000\n76429 100000\n31791 47878\n84126 100000\n20256 30499\n88313 100000\n67066 100000\n22737 34255\n12209 18368\n96902 100000\n89469 100000\n8627 12952\n87831 100000\n77728 100000\n72362 100000\n8446 12675\n15658 23593\n41077 61785\n26087 39307\n65341 97999\n45056 67713\n80597 100000\n7947 11942\n8193 12311\n20555 30955\n5277 7931\n7989 12001\n52175 78326\n42666 64149\n96737 100000\n48370 72637\n52459 78752\n86790 100000\n95227 100000\n96796 100000\n29811 44901\n70787 100000\n39962 60108\n43882 65947\n92782 100000\n40215 60482\n12410 18666\n77705 100000\n8732 13116\n71984 100000\n56999 85508\n33667 50688\n20091 30262\n97296 100000\n28063 42251\n59701 89560\n32642 49153\n87821 100000\n31819 47920\n67262 100000\n11195 16846\n38565 58023\n31607 47603\n85102 100000\n84444 100000\n30921 46562\n17243 25986\n50096 75209\n39777 59841\n14834 22331\n3767 5685\n47975 72058\n43735 65727\n56928 85403\n26904 40533\n39789 59860\n18205 27433\n31689 47724\n10903 16403\n79934 100000\n25793 38888\n26983 40647\n88728 100000\n73865 100000\n77665 100000\n75659 100000\n6045 9079\n84493 100000\n6211 9329\n63304 94948\n98892 100000\n95358 100000\n58151 87228\n54037 81081\n26434 39826\n44463 66819\n57523 86287\n17571 26474\n54671 82020\n3342 5056\n11949 17970\n4054 6117\n29363 44219\n40914 61532\n50654 76047\n56757 85142\n48148 72302\n43583 65511\n47250 70979\n1980 2988\n75341 100000\n15014 22607\n96145 100000\n72762 100000\n6232 9361\n17559 26454\n12142 18269\n35198 52954\n31639 47648\n93371 100000\n47890 71931\n78470 100000\n31801 47894\n99632 100000\n40895 61508\n72882 100000\n50765 76210\n65932 98887\n75382 100000\n40144 60380\n22095 33311\n63336 94993\n71938 100000\n37401 56247\n75009 100000\n5568 8356\n52735 79159\n34031 51232\n77119 100000\n89591 100000\n93677 100000\n21134 31853\n39239 59030\n70012 100000\n37078 55767\n92677 100000\n33614 50608\n86275 100000\n76710 100000\n81673 100000\n53930 80924\n19604 29527\n70372 100000\n51359 77083\n55534 83333\n18969 28574\n49874 74883\n15720 23682\n25056 37766\n71762 100000\n18901 28478\n62889 94316\n37514 56413\n44689 67167\n50445 75729\n4776 7202\n92752 100000\n83028 100000\n48209 72395\n61972 92966\n86640 100000\n21724 32741\n75347 100000\n36159 54379\n52603 78973\n19530 29416\n13054 19661\n21000 31647\n92436 100000\n98830 100000\n48846 73342\n80885 100000\n95037 100000\n10103 15198\n75158 100000\n64131 96189\n32772 49340\n92135 100000\n39785 59854\n83293 100000\n64807 97205\n49842 74832\n24563 37010\n72148 100000\n40725 61250\n91420 100000\n17096 25754\n39382 59255\n17595 26513\n63065 94582\n21892 33006\n38072 57277\n20451 30796\n63661 95495\n54588 81905\n20768 31290\n45098 67779\n51955 77993\n26273 39579\n61105 91683\n59908 89882\n63615 95422\n80857 100000\n35386 53227\n30113 45369\n80821 100000\n70553 100000\n26612 40090\n8321 12494\n96266 100000\n47804 71802\n94095 100000\n62063 93103\n19885 29951\n79913 100000\n6436 9665\n14113 21256\n57404 86119\n69438 100000\n52865 79356\n70802 100000\n96146 100000\n52683 79084\n92719 100000\n46738 70209\n2321 3510\n82862 100000\n49665 74580\n41399 62270\n77427 100000\n10032 15092\n44426 66765\n85 126\n67169 100000\n10664 16036\n79053 100000\n42710 64212\n60671 91028\n56345 84529\n46570 69960\n27712 41729\n27507 41426\n9393 14118\n34206 51488\n13778 20748\n24142 36389\n25201 37977\n33416 50308\n15946 24030\n77181 100000\n56468 84711\n82190 100000\n46515 69878\n23827 35915\n31061 46773\n69116 100000\n97258 100000\n92213 100000\n86215 100000\n58693 88028\n30040 45256\n99004 100000\n94227 100000\n53331 80057\n75119 100000\n13033 19630\n6176 9274\n39387 59261\n11924 17935\n62088 93141\n11224 16887\n19760 29759\n86391 100000\n75118 100000\n80258 100000\n56464 84705\n68352 100000\n12712 19133\n47040 70673\n16172 24371\n43244 65007\n50388 75644\n53015 79588\n46629 70044\n35514 53419\n14882 22408\n84082 100000\n22278 33582\n78566 100000\n444 657\n11410 17173\n67027 100000\n17509 26379\n38126 57361\n66531 99791\n34310 51646\n35817 53870\n34853 52438\n64329 96482\n92775 100000\n76824 100000\n49305 74034\n57548 86323\n22420 33788\n37366 56194\n24742 37293\n33500 50436\n30361 45739\n60706 91085\n82352 100000\n3305 4999\n10053 15125\n36696 55193\n5706 8573\n53427 80197\n85550 100000\n22694 34190\n33104 49858\n56977 85475\n3732 5633\n44853 67412\n64996 97479\n44667 67131\n52333 78563\n97211 100000\n85149 100000\n29858 44977\n62341 93518\n91777 100000\n99098 100000\n91606 100000\n23359 35203\n85053 100000\n76267 100000\n7586 11399\n72407 100000\n44956 67563\n22171 33420\n86006 100000\n72289 100000\n35758 53780\n21310 32128\n44731 67230\n24161 36414\n92407 100000\n45418 68247\n45456 68302\n64961 97429\n38902 58527\n60636 90978\n26111 39344\n5112 7690\n52060 78145\n96273 100000\n23077 34777\n89022 100000\n48335 72583\n44392 66720\n85060 100000\n74565 100000\n15939 24018\n78548 100000\n28198 42461\n92337 100000\n70373 100000\n9018 13550\n77619 100000\n58856 88291\n85292 100000\n95956 100000\n42454 63836\n62703 94050\n42093 63296\n88300 100000\n11245 16918\n23381 35236\n75977 100000\n41093 61808\n24856 37472\n37290 56085\n72520 100000\n70209 100000\n72869 100000\n60286 90445\n8558 12847\n16067 24211\n67773 100000\n67409 100000\n78100 100000\n19180 28893\n17094 25751\n68139 100000\n30491 45930\n7880 11842\n84544 100000\n81246 100000\n10474 15753\n25388 38264\n59609 89425\n8476 12725\n11624 17487\n45234 67982\n52556 78904\n95502 100000\n61478 92237\n13353 20113\n20094 30266\n91173 100000\n72050 100000\n44618 67057\n21041 31706\n19278 29042\n33982 51162\n84198 100000\n83274 100000\n47222 70939\n92317 100000\n90683 100000\n30284 45625\n78382 100000\n95597 100000\n6317 9490\n6999 10508\n87476 100000\n36514 54919\n67751 100000\n86131 100000\n19663 29613\n6133 9208\n32588 49075\n99439 100000\n53513 80313\n55587 83418\n30265 45601\n55958 83952\n51791 77748\n8211 12333\n89948 100000\n36858 55434\n23 33\n90265 100000\n82227 100000\n43142 64851\n21234 32005\n26806 40379\n10944 16472\n56814 85226\n93871 100000\n24797 37383\n15895 23952\n40298 60610\n13103 19738\n88930 100000\n69153 100000\n68197 100000\n89920 100000\n99345 100000\n40176 60429\n33797 50886\n1393 2092\n54667 82014\n12055 18131\n9571 14390\n42863 64434\n41928 63052\n58093 87145\n62947 94402\n16240 24472\n67216 100000\n17316 26093\n83037 100000\n46193 69387\n64418 96622\n40113 60335\n48325 72566\n8534 12812\n6486 9740\n11202 16855\n75113 100000\n98171 100000\n95029 100000\n60602 90927\n36001 54142\n65344 98005\n77614 100000\n16319 24590\n92697 100000\n15260 22981\n92255 100000\n91515 100000\n1051 1567\n58309 87462\n60149 90247\n77740 100000\n41408 62282\n10204 15350\n70585 100000\n76574 100000\n57966 86956\n21462 32357\n42082 63280\n81304 100000\n81646 100000\n21958 33110\n56777 85172\n45798 68800\n75372 100000\n31458 47381\n82031 100000\n50575 75924\n16267 24514\n3227 4884\n18468 27832\n93348 100000\n34737 52271\n75818 100000\n60169 90280\n82943 100000\n9178 13791\n85155 100000\n97167 100000\n89993 100000\n60764 91181\n1050 1565\n80357 100000\n46062 69194\n3313 5009\n59040 88574\n34557 52003\n57217 85834\n23330 35158\n76937 100000\n34644 52135\n39632 59622\n82613 100000\n68749 100000\n42209 63466\n5002 7534\n38648 58137\n44570 66982\n58270 87403\n65537 98306\n51677 77574\n5413 8128\n22482 33879\n17999 27120\n50168 75324\n15813 23826\n38542 57987\n44768 67290\n77180 100000\n29425 44309\n65772 98641\n87952 100000\n63278 94905\n67614 100000\n28058 42242\n97281 100000\n70320 100000\n63363 95032\n50070 75169\n76233 100000\n88524 100000\n97342 100000\n37853 56937\n61033 91569\n80192 100000\n70769 100000\n13012 19598\n42943 64555\n63472 95196\n53944 80944\n86257 100000\n26922 40560\n21635 32616\n84541 100000\n96370 100000\n31228 47030\n50292 75507\n42985 64613\n92085 100000\n2539 3841\n71813 100000\n26993 40661\n76896 100000\n269 384\n96177 100000\n95583 100000\n13453 20261\n69205 100000\n45494 68358\n61530 92311\n22494 33896\n96935 100000\n6929 10400\n44995 67620\n27998 42145\n86681 100000\n50964 76505\n7550 11347\n67457 100000\n33361 50230\n40874 61478\n54051 81099\n68947 100000\n53039 79625\n32934 49591\n66302 99453\n69382 100000\n61333 92024\n4028 6077\n87661 100000\n92943 100000\n76085 100000\n72248 100000\n13883 20908\n91446 100000\n47579 71470\n71818 100000\n42940 64550\n53048 79637\n34432 51821\n48921 73451\n98103 100000\n71475 100000\n15062 22681\n77494 100000\n44789 67319\n35436 53307\n78131 100000\n54534 81823\n60873 91332\n53377 80121\n45700 68654\n25901 39047\n75185 100000\n86941 100000\n65884 98808\n92242 100000\n88311 100000\n38729 58258\n3649 5508\n93143 100000\n74454 100000\n7188 10800\n51688 77591\n60683 91047\n7912 11890\n87378 100000\n40191 60448\n43030 64683\n29792 44871\n68509 100000\n78992 100000\n98461 100000\n20519 30899\n67922 100000\n24786 37362\n44900 67480\n11778 17723\n3524 5322\n80348 100000\n73058 100000\n52876 79375\n21915 33041\n61090 91656\n27205 40976\n70234 100000\n41471 62375\n53534 80345\n82333 100000\n43236 64994\n16148 24336\n33349 50214\n33465 50381\n14501 21830\n54783 82189\n97951 100000\n14515 21851\n21132 31849\n41995 63153\n2669 4033\n74465 100000\n45325 68114\n58861 88298\n4724 7123\n55824 83758\n60670 91027\n89713 100000\n46297 69554\n26974 40635\n33321 50173\n9486 14262\n68814 100000\n93346 100000\n56149 84242\n8043 12082\n60218 90348\n24405 36781\n93686 100000\n53023 79602\n27661 41655\n7696 11562\n18623 28072\n95086 100000\n26319 39649\n26552 40003\n71793 100000\n59505 89269\n35831 53891\n78634 100000\n41083 61792\n40615 61086\n90581 100000\n67287 100000\n48442 72739\n1099 1639\n7264 10909\n52229 78405\n48727 73166\n17377 26176\n35497 53395\n41315 62144\n68773 100000\n12348 18572\n91499 100000\n50108 75230\n59630 89455\n49310 74044\n1279 1919\n53420 80185\n58702 88042\n88149 100000\n46003 69106\n98983 100000\n69524 100000\n54826 82256\n26480 39898\n11713 17627\n65180 97764\n48629 73013\n47411 71217\n75329 100000\n42129 63350\n14212 21396\n85106 100000\n96524 100000\n57434 86166\n73954 100000\n60132 90220\n79396 100000\n71537 100000\n82922 100000\n65548 98320\n10349 15567\n77822 100000\n44362 66671\n82765 100000\n85462 100000\n9929 14929\n63757 95637\n99958 100000\n60829 91271\n39121 58856\n49311 74046\n96107 100000\n7779 11684\n11465 17257\n42411 63769\n88810 100000\n74054 100000\n15454 23279\n72341 100000\n46103 69253\n11830 17797\n88982 100000\n75711 100000\n99373 100000\n24215 36496\n15696 23652\n79870 100000\n88825 100000\n18378 27696\n15708 23667\n59107 88673\n1600 2407\n187 270\n38150 57400\n22359 33696\n48083 72214\n69633 100000\n28191 42449\n18300 27578\n32063 48286\n75990 100000\n95480 100000\n93354 100000\n10776 16205\n18979 28589\n5489 8241\n10315 15515\n64704 97043\n14324 21554\n75853 100000\n34268 51583\n21352 32194\n6136 9214\n5436 8162\n50706 76124\n76008 100000\n90825 100000\n85925 100000\n17192 25907\n36161 54383\n21674 32675\n54467 81725\n23011 34679\n36582 55030\n94505 100000\n13939 20990\n98815 100000\n67894 100000\n19743 29737\n85661 100000\n17613 26542\n15364 23151\n10584 15913\n80284 100000\n11276 16967\n75937 100000\n82030 100000\n23964 36115\n94784 100000\n87038 100000\n73989 100000\n62822 94223\n93137 100000\n19889 29956\n93008 100000\n69586 100000\n51525 77339\n18330 27624\n27630 41605\n88867 100000\n21096 31793\n41329 62167\n37213 55969\n88929 100000\n28979 43637\n25223 38010\n46659 70087\n80456 100000\n95982 100000\n87517 100000\n9108 13685\n81800 100000\n5884 8843\n23740 35784\n78807 100000\n2760 4179\n72994 100000\n68663 100000\n71340 100000\n95233 100000\n44051 66205\n3841 5785\n78257 100000\n98443 100000\n14304 21527\n89515 100000\n83751 100000\n97145 100000\n76762 100000\n65650 98471\n97857 100000\n48434 72728\n59311 88975\n86407 100000\n47658 71584\n92817 100000\n72413 100000\n7448 11196\n86055 100000\n43321 65124\n72616 100000\n17788 26800\n44124 66313\n12581 18926\n57600 86390\n6945 10426\n78055 100000\n95311 100000\n89707 100000\n32560 49034\n52655 79043\n9029 13569\n27724 41748\n77934 100000\n86890 100000\n39001 58672\n52834 79310\n10200 15346\n14932 22487\n30756 46329\n75567 100000\n77785 100000\n58359 87537\n77730 100000\n92526 100000\n57836 86754\n71940 100000\n27007 40682\n58426 87628\n53507 80304\n17739 26734\n23993 36166\n11509 17320\n41331 62170\n15207 22898\n38798 58370\n42728 64237\n29492 44411\n78080 100000\n42736 64251\n97611 100000\n49887 74900\n73320 100000\n34035 51237\n21872 32974\n58973 88470\n46474 69816\n59864 89816\n68808 100000\n18388 27711\n74771 100000\n95886 100000\n78737 100000\n15145 22807\n73682 100000\n80737 100000\n73049 100000\n34696 52211\n14080 21204\n67885 100000\n90001 100000\n39554 59503\n75856 100000\n4248 6406\n40854 61444\n45438 68275\n30694 46237\n28815 43392\n44065 66225\n27442 41324\n88803 100000\n53448 80227\n36597 55052\n69882 100000\n49398 74177\n12931 19475\n52546 78889\n73143 100000\n67502 100000\n62904 94338\n41671 62670\n25396 38277\n35242 53018\n7415 11142\n18946 28542\n8119 12194\n32143 48408\n91693 100000\n3823 5761\n86264 100000\n71498 100000\n37957 57096\n25596 38580\n24960 37627\n93764 100000\n79841 100000\n43350 65171\n35631 53586\n40889 61500\n37804 56863\n41611 62580\n16711 25170\n1652 2487\n9432 14178\n16617 25027\n92718 100000\n8879 13341\n5520 8285\n8786 13197\n19553 29448\n81450 100000\n54327 81509\n29320 44154\n66995 100000\n57467 86209\n9946 14955\n26841 40433\n31440 47350\n39691 59714\n72309 100000\n97165 100000\n10812 16263\n76873 100000\n46461 69798\n66177 99266\n99623 100000\n51184 76831\n13179 19852\n69689 100000\n8212 12334\n51302 77001\n63093 94625\n54716 82086\n87154 100000\n76195 100000\n46045 69167\n28012 42165\n7307 10976\n79108 100000\n27025 40708\n26940 40583\n68573 100000\n72298 100000\n45787 68783\n45436 68273\n3082 4660\n83714 100000\n41087 61800\n36136 54344\n67504 100000\n81570 100000\n42398 63747\n44038 66186\n62423 93635\n72327 100000\n53767 80687\n85676 100000\n36977 55615\n98514 100000\n53499 80293\n82225 100000\n53313 80033\n49246 73948\n79845 100000\n71409 100000\n20155 30354\n13870 20886\n31285 47117\n92486 100000\n97922 100000\n53233 79915\n88061 100000\n68107 100000\n65711 98557\n97166 100000\n22676 34161\n13788 20762\n3738 5640\n12213 18373\n42783 64315\n19307 29088\n43815 65852\n71461 100000\n83696 100000\n966 1444\n38676 58177\n73747 100000\n72190 100000\n70482 100000\n17029 25651\n31229 47032\n11334 17059\n7347 11039\n89418 100000\n69831 100000\n36726 55234\n92518 100000\n1286 1930\n50970 76512\n8727 13108\n91893 100000\n2913 4414\n74943 100000\n51340 77056\n19767 29768\n73169 100000\n37654 56623\n49722 74662\n63798 95700\n39778 59842\n4050 6111\n67677 100000\n5811 8727\n93728 100000\n84049 100000\n10317 15518\n54170 81275\n97182 100000\n82167 100000\n10799 16241\n95928 100000\n86468 100000\n20677 31144\n6108 9172\n97992 100000\n81789 100000\n5604 8414\n48869 73374\n3097 4683\n11605 17461\n84097 100000\n27760 41802\n56045 84086\n24189 36458\n44483 66851\n54 77\n10816 16270\n27112 40833\n64310 96453\n84741 100000\n74529 100000\n17383 26185\n57544 86318\n61519 92294\n32729 49273\n85073 100000\n92005 100000\n50328 75560\n92413 100000\n91942 100000\n5243 7884\n77946 100000\n40253 60536\n60543 90834\n51126 76741\n90129 100000\n21262 32047\n97509 100000\n7053 10586\n84416 100000\n65811 98700\n60849 91298\n37730 56743\n68195 100000\n49250 73955\n67374 100000\n14291 21507\n71349 100000\n96922 100000\n79652 100000\n63606 95410\n16900 25451\n44345 66646\n75064 100000\n51381 77117\n8640 12973\n6740 10119\n89076 100000\n76105 100000\n16374 24672\n10209 15359\n90927 100000\n34571 52023\n6725 10094\n73141 100000\n75652 100000\n984 1471\n71648 100000\n80384 100000\n91044 100000\n79771 100000\n31788 47873\n78921 100000\n21473 32374\n79626 100000\n21055 31731\n94367 100000\n15452 23277\n76864 100000\n59556 89348\n49969 75015\n78150 100000\n37618 56572\n46666 70098\n79918 100000\n91307 100000\n15202 22892\n88092 100000\n83030 100000\n81088 100000\n2151 3255\n47038 70669\n6299 9464\n39184 58952\n21047 31717\n48772 73234\n29445 44339\n74349 100000\n62155 93243\n52487 78791\n47790 71781\n23010 34677\n16401 24707\n17796 26814\n18151 27344\n23482 35388\n86508 100000\n8819 13251\n43579 65506\n73784 100000\n77186 100000\n88028 100000\n89972 100000\n89054 100000\n46568 69956\n87442 100000\n23759 35811\n70334 100000\n6899 10354\n76500 100000\n66903 100000\n37368 56198\n88376 100000\n35770 53798\n49391 74168\n7461 11217\n30468 45897\n89744 100000\n93035 100000\n65955 98921\n25918 39072\n36426 54788\n74265 100000\n90974 100000\n19907 29982\n5679 8526\n29794 44875\n389 571\n96632 100000\n29348 44196\n60456 90705\n53633 80486\n34756 52296\n48840 73332\n53709 80607\n52221 78395\n12558 18893\n73522 100000\n17907 26978\n32940 49601\n94709 100000\n26001 39181\n60911 91389\n45071 67735\n77048 100000\n68464 100000\n67974 100000\n7174 10780\n42117 63332\n82700 100000\n95850 100000\n88809 100000\n45947 69020\n57632 86443\n84249 100000\n48276 72492\n57164 85756\n11212 16869\n33950 51117\n54918 82396\n47041 70675\n89231 100000\n65510 98268\n84554 100000\n17912 26986\n88219 100000\n9964 14983\n40151 60389\n67915 100000\n29955 45125\n82775 100000\n6519 9790\n23391 35248\n54478 81743\n92998 100000\n95538 100000\n11256 16937\n97521 100000\n9444 14196\n23763 35817\n66579 99861\n77831 100000\n70124 100000\n94783 100000\n58838 88263\n49107 73733\n30011 45210\n18923 28510\n43322 65125\n17521 26396\n70568 100000\n26338 39677\n13426 20225\n49053 73650\n31002 46684\n6828 10250\n61566 92363\n17077 25728\n37009 55663\n19124 28806\n93441 100000\n94100 100000\n94379 100000\n32363 48743\n20416 30742\n79100 100000\n23582 35546\n31090 46816\n94507 100000\n837 1253\n62721 94072\n96906 100000\n26550 40001\n2505 3789\n24510 36934\n27407 41269\n48327 72569\n10655 16023\n36054 54220\n89782 100000\n52810 79275\n5914 8891\n88572 100000\n73293 100000\n48200 72381\n27752 41791\n22025 33206\n56268 84417\n72689 100000\n31989 48177\n44444 66793\n85736 100000\n27150 40888\n66275 99411\n82370 100000\n66906 100000\n52019 78088\n72491 100000\n40744 61282\n99389 100000\n75309 100000\n12894 19418\n97469 100000\n53724 80627\n16533 24907\n35806 53854\n11097 16702\n21696 32703\n70076 100000\n73069 100000\n39555 59505\n32892 49525\n5963 8962\n44424 66763\n80916 100000\n22815 34368\n46732 70201\n53042 79628\n3344 5059\n91495 100000\n48033 72142\n44045 66198\n83322 100000\n13134 19787\n66969 100000\n83195 100000\n98485 100000\n93479 100000\n32763 49326\n98122 100000\n53651 80516\n46372 69665\n28061 42247\n63656 95487\n50888 76397\n59133 88710\n63113 94654\n87572 100000\n34471 51879\n18012 27138\n36360 54689\n20046 30193\n9832 14782\n17334 26118\n56246 84387\n90017 100000\n74527 100000\n96485 100000\n22795 34342\n39656 59663\n53844 80798\n63477 95203\n92094 100000\n61364 92068\n45913 68965\n49170 73833\n24431 36820\n99901 100000\n93503 100000\n79691 100000\n57103 85664\n22928 34544\n72933 100000\n56126 84207\n41968 63113\n39277 59089\n13377 20148\n42371 63706\n83412 100000\n13565 20424\n32309 48660\n81580 100000\n33227 50033\n30803 46392\n84107 100000\n58513 87756\n77797 100000\n27968 42102\n19153 28852\n93438 100000\n73879 100000\n29933 45086\n98501 100000\n66922 100000\n25284 38102\n34465 51870\n46029 69143\n83406 100000\n18232 27473\n67371 100000\n49147 73794\n82547 100000\n5355 8044\n47803 71800\n62474 93709\n66247 99370\n35521 53427\n45374 68186\n12595 18950\n20405 30726\n78905 100000\n73889 100000\n74102 100000\n9166 13771\n22360 33698\n73224 100000\n46783 70274\n87389 100000\n83490 100000\n25051 37760\n44985 67606\n79240 100000\n81362 100000\n75974 100000\n57482 86228\n81244 100000\n26264 39566\n87574 100000\n82569 100000\n73368 100000\n30978 46650\n58536 87790\n53297 80008\n33394 50273\n67725 100000\n1742 2626\n27089 40795\n47093 70755\n28925 43556\n88150 100000\n30538 45999\n40844 61428\n26929 40569\n46344 69623\n44686 67161\n70625 100000\n21498 32412\n93318 100000\n30280 45620\n31679 47707\n35748 53767\n42511 63918\n89207 100000\n92336 100000\n1820 2747\n12672 19073\n39845 59940\n49926 74956\n66181 99270\n61740 92623\n36166 54391\n10068 15148\n80782 100000\n99110 100000\n74922 100000\n77878 100000\n72232 100000\n13395 20173\n20185 30398\n57620 86425\n56839 85265\n73994 100000\n30050 45269\n2466 3727\n81199 100000\n25802 38900\n13759 20717\n11868 17854\n72150 100000\n84307 100000\n21356 32201\n20004 30129\n32383 48767\n89215 100000\n3597 5429\n35240 53015\n93413 100000\n46427 69748\n27085 40789\n21054 31729\n93924 100000\n5114 7693\n93333 100000\n80533 100000\n18534 27936\n643 964\n83031 100000\n10279 15462\n15311 23060\n11933 17949\n68307 100000\n55558 83369\n74109 100000\n99271 100000\n58271 87405\n50541 75875\n87761 100000\n2870 4349\n82205 100000\n28918 43543\n42735 64249\n18381 27700\n85665 100000\n93820 100000\n63249 94863\n86990 100000\n34381 51749\n84202 100000\n28491 42896\n19721 29704\n70654 100000\n20277 30534\n90658 100000\n40871 61473\n70186 100000\n51572 77410\n73414 100000\n29247 44044\n79903 100000\n36197 54434\n81151 100000\n11337 17063\n59414 89132\n90458 100000\n7391 11107\n71707 100000\n93405 100000\n42319 63629\n71714 100000\n42750 64267\n24841 37452\n95392 100000\n10168 15296\n85825 100000\n17564 26462\n6613 9921\n21508 32425\n23238 35020\n45300 68079\n96506 100000\n37466 56346\n75202 100000\n4067 6136\n61063 91613\n13260 19973\n62323 93491\n54625 81957\n46491 69843\n4593 6928\n32789 49368\n86105 100000\n19870 29924\n95968 100000\n408 601\n22571 34007\n22627 34088\n57266 85914\n7089 10641\n34989 52634\n80469 100000\n23790 35861\n15884 23935\n50145 75290\n98070 100000\n47400 71202\n93758 100000\n13145 19805\n66847 100000\n23424 35298\n50690 76097\n53571 80397\n51984 78037\n9648 14504\n84161 100000\n94533 100000\n19171 28881\n37658 56628\n41632 62612\n57229 85851\n41644 62628\n99980 100000\n80623 100000\n33743 50803\n1116 1662\n77033 100000\n32594 49083\n11555 17392\n89883 100000\n79317 100000\n75968 100000\n68877 100000\n40396 60758\n15078 22705\n77552 100000\n28755 43299\n16154 24345\n70703 100000\n73041 100000\n39098 58816\n19473 29331\n86262 100000\n41969 63115\n9649 14506\n24192 36461\n4108 6198\n26947 40593\n83961 100000\n73472 100000\n56868 85308\n88593 100000\n12927 19468\n18163 27363\n91256 100000\n62229 93356\n78717 100000\n14469 21780\n92723 100000\n48845 73340\n97631 100000\n39312 59145\n80956 100000\n21412 32282\n96582 100000\n82935 100000\n65050 97560\n99436 100000\n1411 2119\n5816 8737\n13212 19899\n38834 58426\n13081 19705\n98754 100000\n96979 100000\n44135 66327\n80664 100000\n47556 71437\n14346 21588\n16168 24364\n29739 44797\n86302 100000\n38744 58282\n93504 100000\n45785 68780\n86738 100000\n71 104\n13407 20192\n15767 23751\n58864 88302\n4038 6092\n89548 100000\n17925 27007\n79816 100000\n67970 100000\n48062 72183\n17980 27087\n93736 100000\n74649 100000\n26019 39208\n30525 45980\n71194 100000\n52590 78957\n56522 84793\n72785 100000\n45148 67853\n3190 4825\n55005 82527\n7954 11952\n3456 5226\n49097 73717\n62817 94215\n61113 91695\n67375 100000\n24171 36431\n31414 47313\n85634 100000\n55717 83603\n7101 10661\n70987 100000\n87125 100000\n70680 100000\n17485 26343\n81978 100000\n80212 100000\n97487 100000\n49797 74771\n26058 39264\n12291 18490\n82857 100000\n8175 12283\n31392 47277\n96888 100000\n60300 90466\n8500 12765\n214 310\n14417 21700\n68948 100000\n98294 100000\n75766 100000\n70508 100000\n20978 31611\n40669 61166\n8993 13509\n19269 29028\n36150 54365\n90483 100000\n56949 85433\n1282 1924\n18186 27402\n13261 19975\n44910 67492\n48835 73325\n95462 100000\n7043 10573\n88097 100000\n53049 79639\n24220 36503\n45968 69054\n98366 100000\n6953 10438\n57013 85530\n45204 67938\n29824 44924\n35655 53617\n97444 100000\n49168 73829\n4072 6145\n66662 99984\n4262 6424\n94365 100000\n46508 69869\n89640 100000\n99427 100000\n29289 44108\n15235 22944\n78926 100000\n58046 87076\n98806 100000\n76747 100000\n59403 89117\n83137 100000\n65240 97854\n14374 21634\n37356 56179\n61227 91864\n53741 80651\n13354 20114\n67493 100000\n12126 18242\n77887 100000\n6198 9310\n62707 94056\n47888 71928\n65049 97559\n42702 64200\n23684 35700\n62274 93421\n79154 100000\n43492 65376\n23182 34940\n1354 2030\n67555 100000\n71156 100000\n61981 92981\n66055 99071\n73172 100000\n27449 41336\n57288 85947\n46868 70401\n17235 25974\n85207 100000\n15221 22921\n83053 100000\n7560 11360\n85660 100000\n77987 100000\n57105 85666\n6115 9183\n31512 47462\n33126 49888\n1235 1850\n32254 48573\n76996 100000\n63749 95623\n46324 69592\n28781 43340\n32856 49467\n93799 100000\n81311 100000\n28570 43014\n18049 27193\n39080 58789\n61343 92039\n63453 95168\n93534 100000\n4385 6612\n230 329\n14317 21544\n48221 72416\n42020 63188\n50156 75307\n36970 55602\n41002 61670\n66588 99873\n12944 19494\n93204 100000\n16658 25090\n27765 41808\n30801 46390\n28389 42743\n44081 66247\n4606 6946\n37304 56104\n97657 100000\n30292 45637\n26283 39597\n96854 100000\n1079 1613\n93279 100000\n33946 51111\n23371 35223\n89765 100000\n58920 88384\n22349 33682\n93800 100000\n64690 97025\n15192 22878\n55861 83810\n33977 51153\n67784 100000\n4710 7100\n15737 23706\n63841 95767\n61735 92616\n89256 100000\n13207 19890\n12498 18801\n46123 69284\n29670 44687\n94442 100000\n14488 21811\n71159 100000\n79911 100000\n90930 100000\n74319 100000\n59372 89070\n60394 90613\n62368 93555\n38857 58463\n55975 83980\n61331 92022\n67090 100000\n33890 51028\n18561 27980\n90612 100000\n11319 17037\n91138 100000\n271 388\n35296 53093\n53110 79733\n20767 31289\n13217 19908\n92375 100000\n44331 66621\n71990 100000\n89468 100000\n4082 6161\n34938 52561\n5311 7980\n31686 47719\n65108 97649\n96036 100000\n7159 10758\n78219 100000\n85893 100000\n31833 47942\n5335 8012\n81179 100000\n55223 82862\n20825 31381\n74790 100000\n92540 100000\n45613 68531\n56679 85028\n20205 30428\n69851 100000\n71125 100000\n33068 49801\n5719 8592\n73864 100000\n20938 31547\n69397 100000\n82492 100000\n22322 33646\n90845 100000\n91110 100000\n76807 100000\n25877 39012\n6218 9341\n62233 93361\n46726 70193\n9595 14425\n90548 100000\n15959 24046\n43719 65707\n50547 75885\n48029 72136\n4859 7326\n63576 95360\n64725 97078\n91956 100000\n55487 83266\n36016 54164\n67962 100000\n5261 7907\n27715 41733\n47822 71829\n50909 76430\n75674 100000\n26574 40036\n54774 82175\n21794 32852\n549 814\n71154 100000\n61389 92108\n90245 100000\n12729 19159\n97592 100000\n76280 100000\n49346 74103\n3225 4880\n35223 52990\n57218 85835\n87548 100000\n7085 10635\n45880 68919\n74027 100000\n28301 42614\n61855 92793\n47141 70822\n59368 89064\n48159 72317\n56141 84229\n85078 100000\n69748 100000\n32530 48986\n4972 7490\n64246 96359\n80882 100000\n84658 100000\n47789 71779\n82797 100000\n84523 100000\n4145 6254\n78831 100000\n85643 100000\n48919 73448\n16081 24230\n5263 7910\n93201 100000\n93920 100000\n31842 47955\n8003 12022\n35873 53953\n1835 2768\n41285 62098\n587 875\n28156 42400\n15453 23278\n18551 27963\n87048 100000\n32938 49597\n74662 100000\n55616 83457\n11922 17933\n31311 47156\n62 90\n78671 100000\n3462 5236\n105 156\n17466 26316\n52741 79169\n1512 2268\n76406 100000\n44880 67452\n37090 55783\n8215 12340\n14881 22407\n97429 100000\n74819 100000\n39286 59101\n97003 100000\n54454 81703\n36997 55645\n29766 44837\n73478 100000\n31500 47444\n5140 7732\n99625 100000\n77597 100000\n3364 5089\n68215 100000\n14326 21557\n1208 1808\n17165 25863\n45125 67820\n68193 100000\n91951 100000\n83194 100000\n16995 25600\n68755 100000\n36984 55625\n80065 100000\n25808 38908\n96427 100000\n70944 100000\n97627 100000\n76371 100000\n68035 100000\n14013 21103\n35421 53284\n7896 11866\n64544 96808\n50184 75347\n66105 99150\n8126 12207\n11094 16699\n5539 8312\n89720 100000\n42516 63927\n41662 62656\n68763 100000\n65232 97843\n20103 30279\n16506 24864\n27225 41006\n60854 91305\n49279 73995\n26767 40320\n86712 100000\n77283 100000\n99637 100000\n43508 65403\n50392 75650\n76789 100000\n43424 65278\n57954 86938\n74304 100000\n26531 39969\n45412 68240\n42614 64073\n17676 26635\n68474 100000\n23041 34721\n50917 76442\n11833 17802\n60891 91359\n22270 33571\n13975 21042\n30273 45611\n96101 100000\n27061 40754\n46363 69651\n63790 95687\n56116 84193\n39294 59113\n47938 71997\n49438 74236\n23020 34692\n48445 72743\n44317 66599\n17504 26370\n74892 100000\n31598 47588\n45329 68122\n59020 88541\n71020 100000\n25453 38365\n61308 91989\n94997 100000\n56221 84352\n50759 76202\n72938 100000\n61489 92252\n66996 100000\n14439 21732\n14070 21190\n19200 28922\n27722 41745\n72137 100000\n21184 31931\n69860 100000\n88453 100000\n3596 5427\n15093 22727\n31398 47288\n3220 4873\n4627 6979\n7607 11430\n61334 92026\n43952 66061\n83228 100000\n82535 100000\n68586 100000\n39956 60099\n25196 37970\n91837 100000\n84487 100000\n81617 100000\n16584 24975\n13215 19904\n40132 60363\n96599 100000\n46013 69121\n41844 62925\n55946 83935\n21937 33074\n47291 71039\n76649 100000\n23747 35795\n17859 26903\n13551 20402\n32566 49043\n21147 31873\n23525 35458\n83226 100000\n79898 100000\n26363 39717\n68557 100000\n69778 100000\n36340 54660\n9298 13969\n71282 100000\n56905 85364\n46011 69118\n83704 100000\n65728 98582\n99430 100000\n96585 100000\n14443 21739\n68983 100000\n19797 29808\n10749 16165\n21966 33123\n95760 100000\n2876 4359\n52795 79251\n86662 100000\n96043 100000\n44653 67113\n10434 15694\n92892 100000\n13887 20915\n90892 100000\n6626 9942\n61718 92593\n18372 27687\n96980 100000\n57943 86922\n29622 44615\n89391 100000\n30894 46520\n81927 100000\n36844 55413\n21735 32757\n7995 12008\n56592 84897\n76326 100000\n26949 40595\n74652 100000\n26078 39295\n20095 30267\n93260 100000\n13576 20440\n22334 33662\n53498 80291\n72449 100000\n97579 100000\n42789 64322\n34053 51262\n4421 6666\n13250 19957\n73863 100000\n32108 48355\n33949 51115\n8336 12518\n29087 43803\n48393 72669\n37038 55711\n96739 100000\n75138 100000\n41730 62755\n43705 65687\n40179 60433\n94221 100000\n10611 15953\n86227 100000\n8059 12110\n74804 100000\n12276 18468\n90940 100000\n7519 11298\n5343 8025\n56794 85192\n15834 23864\n11921 17931\n16936 25509\n62371 93559\n49631 74531\n72562 100000\n78863 100000\n49091 73709\n63628 95444\n437 645\n17876 26930\n64125 96180\n50223 75403\n98533 100000\n42407 63763\n63866 95800\n46908 70458\n20333 30614\n78716 100000\n95141 100000\n22062 33260\n95634 100000\n17223 25956\n91377 100000\n59900 89868\n74994 100000\n16290 24546\n43977 66096\n92682 100000\n76594 100000\n27939 42065\n90704 100000\n33414 50305\n80421 100000\n705 1056\n66976 100000\n95601 100000\n3488 5270\n45932 68995\n42234 63503\n83216 100000\n64365 96539\n3281 4968\n45053 67708\n37708 56708\n96226 100000\n28912 43534\n62489 93731\n3158 4775\n23078 34779\n55277 82947\n47555 71435\n50608 75979\n20303 30572\n34149 51403\n10885 16372\n21681 32684\n29022 43704\n79780 100000\n54462 81716\n56286 84441\n78151 100000\n38991 58655\n47027 70653\n33212 50010\n17241 25983\n41723 62745\n70935 100000\n29089 43805\n47645 71564\n20769 31292\n88522 100000\n51973 78022\n83197 100000\n27772 41820\n48467 72776\n92369 100000\n52534 78867\n57268 85917\n90680 100000\n19613 29542\n53648 80511\n47136 70816\n55962 83960\n40800 61367\n1921 2897\n57944 86924\n92614 100000\n57418 86142\n73021 100000\n93645 100000\n7770 11671\n6710 10072\n30775 46352\n68750 100000\n89783 100000\n38848 58447\n15000 22588\n55630 83477\n36460 54841\n10324 15528\n96119 100000\n48942 73484\n25850 38970\n98201 100000\n483 712\n77666 100000\n51505 77306\n72434 100000\n53452 80232\n26576 40039\n36278 54563\n82835 100000\n76455 100000\n65904 98840\n15543 23419\n88891 100000\n68609 100000\n656 982\n6644 9970\n4822 7267\n66708 100000\n83811 100000\n30259 45594\n59363 89056\n6916 10378\n15665 23603\n40572 61025\n73235 100000\n22673 34157\n95115 100000\n39649 59650\n46333 69606\n86691 100000\n71458 100000\n89980 100000\n326 469\n26060 39267\n15471 23307\n93082 100000\n15886 23938\n55654 83514\n8688 13047\n82120 100000\n6025 9049\n71800 100000\n32462 48881\n22370 33714\n18361 27672\n5456 8193\n32677 49200\n44381 66702\n33627 50628\n48691 73110\n53188 79847\n35319 53129\n41638 62621\n84132 100000\n85538 100000\n33360 50228\n24428 36814\n85648 100000\n28232 42508\n5195 7816\n94483 100000\n73396 100000\n38215 57498\n64843 97256\n50605 75974\n63892 95837\n86396 100000\n69861 100000\n67696 100000\n44771 67293\n83749 100000\n34444 51840\n83243 100000\n99112 100000\n98697 100000\n91911 100000\n13857 20868\n47800 71796\n90905 100000\n20199 30418\n38691 58198\n48922 73452\n69629 100000\n28624 43095\n49023 73604\n27764 41807\n55790 83705\n10194 15336\n87757 100000\n27012 40688\n13818 20806\n18354 27661\n11225 16888\n29510 44438\n4044 6101\n98046 100000\n98823 100000\n41687 62694\n44500 66878\n52962 79506\n64020 96029\n65528 98294\n44028 66171\n83823 100000\n38639 58124\n82990 100000\n5113 7692\n41312 62140\n56752 85137\n2378 3596\n57072 85616\n73422 100000\n70629 100000\n79912 100000\n77589 100000\n39367 59230\n68520 100000\n39528 59465\n277 400\n88870 100000\n66029 99032\n47872 71902\n6977 10473\n47593 71491\n81123 100000\n27376 41224\n71645 100000\n83036 100000\n66472 99701\n10269 15449\n64549 96816\n60765 91182\n10727 16136\n1647 2480\n55268 82931\n83562 100000\n42924 64526\n78520 100000\n36139 54349\n44625 67067\n54133 81215\n39372 59239\n52638 79021\n50248 75439\n31159 46923\n37023 55685\n81632 100000\n65733 98588\n89136 100000\n37294 56091\n54806 82225\n50774 76222\n60389 90605\n69855 100000\n45163 67878\n72436 100000\n10227 15387\n79690 100000\n39315 59150\n73801 100000\n69675 100000\n97601 100000\n67590 100000\n81061 100000\n58898 88352\n72894 100000\n49772 74733\n55016 82543\n19211 28937\n98302 100000\n17838 26874\n79666 100000\n619 926\n86232 100000\n77523 100000\n60073 90129\n73088 100000\n18576 28002\n55572 83393\n42376 63714\n12940 19489\n93998 100000\n6175 9272\n58925 88392\n22341 33671\n8896 13364\n94066 100000\n49395 74174\n33525 50469\n56406 84621\n16822 25327\n79034 100000\n77816 100000\n26044 39241\n20504 30879\n5055 7608\n37373 56206\n18701 28188\n85461 100000\n87192 100000\n9637 14487\n91324 100000\n34127 51374\n35626 53578\n58265 87396\n99367 100000\n19079 28735\n81595 100000\n89008 100000\n44452 66804\n25508 38448\n32713 49249\n10962 16500\n53813 80757\n27740 41772\n23423 35297\n52895 79404\n83974 100000\n5742 8625\n49993 75051\n54954 82452\n97226 100000\n62963 94425\n8742 13130\n53474 80259\n97038 100000\n53652 80518\n61699 92563\n43670 65639\n60153 90253\n78822 100000\n72541 100000\n64022 96032\n54582 81897\n36942 55559\n21446 32333\n63155 94718\n424 625\n59837 89777\n85198 100000\n68528 100000\n4245 6401\n54253 81398\n97062 100000\n23894 36017\n35703 53697\n99549 100000\n22388 33738\n53268 79963\n6215 9336\n73337 100000\n76493 100000\n48944 73487\n29269 44076\n40718 61239\n28218 42488\n67778 100000\n24298 36623\n90387 100000\n29154 43903\n23602 35576\n33555 50516\n35974 54103\n4996 7524\n25507 38446\n78377 100000\n79958 100000\n36258 54531\n51086 76683\n57813 86720\n86885 100000\n44158 66364\n81444 100000\n44581 67000\n3222 4876\n27127 40855\n49253 73961\n91162 100000\n39924 60050\n22021 33201\n25569 38536\n18346 27647\n58404 87596\n6471 9718\n77648 100000\n24971 37641\n41861 62952\n8664 13007\n88922 100000\n32023 48224\n63101 94636\n49193 73868\n30473 45905\n59852 89799\n9197 13817\n39462 59368\n32538 48999\n62357 93541\n68498 100000\n73217 100000\n98200 100000\n21341 32178\n8168 12273\n37359 56183\n55907 83880\n85342 100000\n55777 83686\n2087 3155\n51493 77289\n80656 100000\n64076 96107\n30695 46238\n32015 48211\n9712 14597\n92832 100000\n97099 100000\n39607 59584\n37058 55738\n87650 100000\n24711 37244\n50658 76052\n41868 62963\n82099 100000\n80531 100000\n92248 100000\n92056 100000\n23978 36139\n93592 100000\n77306 100000\n97195 100000\n94042 100000\n29700 44734\n46525 69892\n70723 100000\n18632 28084\n99505 100000\n29547 44497\n20036 30177\n74496 100000\n19746 29742\n66329 99492\n62600 93893\n74290 100000\n27600 41562\n15481 23324\n83230 100000\n63182 94762\n65332 97988\n856 1278\n9831 14780\n92143 100000\n76513 100000\n5444 8175\n22915 34526\n84607 100000\n25801 38899\n39457 59360\n96689 100000\n97043 100000\n48968 73525\n38283 57601\n90699 100000\n31685 47717\n32872 49492\n82576 100000\n55769 83676\n35244 53020\n93313 100000\n41548 62487\n93938 100000\n22323 33647\n72085 100000\n16175 24375\n39686 59708\n55363 83081\n96569 100000\n86672 100000\n92918 100000\n79997 100000\n92711 100000\n7144 10730\n77751 100000\n53738 80647\n98259 100000\n77519 100000\n88769 100000\n98031 100000\n62125 93197\n28378 42726\n30139 45411\n92226 100000\n79774 100000\n38411 57793\n39106 58830\n96968 100000\n69814 100000\n17816 26844\n48247 72452\n3833 5774\n19656 29603\n16980 25576\n31712 47761\n94153 100000\n94509 100000\n13282 20007\n59926 89907\n81976 100000\n23158 34903\n48815 73296\n57171 85765\n54379 81589\n82094 100000\n35066 52750\n18398 27724\n21719 32735\n62506 93754\n15808 23820\n88342 100000\n58742 88114\n94159 100000\n77408 100000\n18308 27591\n73028 100000\n76144 100000\n98372 100000\n41756 62796\n51961 78002\n73252 100000\n93544 100000\n56379 84579\n2673 4040\n12394 18641\n40146 60383\n37946 57080\n26677 40189\n29446 44340\n61877 92827\n11732 17653\n62141 93221\n24838 37449\n32727 49269\n54995 82511\n2583 3908\n90394 100000\n2377 3594\n36531 54944\n16349 24636\n20011 30141\n67608 100000\n89595 100000\n26327 39661\n39676 59691\n94810 100000\n26302 39626\n65774 98644\n5848 8789\n3859 5815\n97391 100000\n48435 72730\n2940 4450\n58103 87160\n21784 32837\n35635 53592\n6762 10154\n90543 100000\n79578 100000\n12321 18533\n57035 85563\n51944 77974\n30605 46105\n88131 100000\n91457 100000\n20257 30500\n23178 34934\n63381 95059\n69796 100000\n84106 100000\n47102 70767\n61299 91978\n52345 78582\n19568 29471\n96170 100000\n22835 34400\n58266 87398\n65818 98710\n60093 90158\n64875 97302\n98684 100000\n71524 100000\n68715 100000\n45327 68118\n91775 100000\n74782 100000\n69491 100000\n12538 18862\n31743 47804\n12878 19393\n68394 100000\n12591 18943\n82116 100000\n59604 89416\n5773 8668\n50264 75465\n87015 100000\n83976 100000\n78519 100000\n59411 89129\n6696 10052\n73356 100000\n91168 100000\n25529 38480\n33082 49825\n60983 91497\n90674 100000\n55563 83378\n56869 85309\n14169 21336\n10355 15577\n89530 100000\n73501 100000\n55834 83773\n2493 3772\n62543 93812\n26279 39590\n56753 85138\n23275 35077\n43784 65805\n11638 17510\n86373 100000\n37840 56916\n77761 100000\n83855 100000\n61702 92568\n93921 100000\n66037 99045\n72168 100000\n80246 100000\n39409 59292\n80012 100000\n28847 43439\n76528 100000\n10752 16169\n31839 47952\n85401 100000\n88777 100000\n56695 85054\n56931 85406\n22533 33950\n98189 100000\n39893 60012\n53443 80219\n76278 100000\n67373 100000\n95897 100000\n82009 100000\n97100 100000\n51812 77785\n62697 94043\n64518 96771\n72048 100000\n47912 71961\n37124 55835\n51691 77594\n69806 100000\n13452 20260\n51274 76961\n6645 9972\n99493 100000\n96074 100000\n61860 92801\n57637 86449\n49760 74715\n88496 100000\n9014 13544\n35895 53985\n63973 95954\n51778 77728\n55232 82875\n80596 100000\n41097 61814\n12832 19325\n67014 100000\n6580 9874\n57680 86513\n49763 74720\n30333 45698\n71432 100000\n93376 100000\n74501 100000\n42912 64509\n72273 100000\n3741 5646\n74624 100000\n18441 27790\n51567 77404\n96198 100000\n2416 3649\n31180 46959\n36482 54871\n9307 13984\n8718 13091\n74142 100000\n81914 100000\n88689 100000\n12655 19043\n78228 100000\n38102 57327\n95812 100000\n61703 92570\n83586 100000\n71878 100000\n8320 12493\n14681 22101\n96172 100000\n29026 43711\n46485 69833\n21537 32471\n9623 14465\n40828 61403\n95685 100000\n81535 100000\n78742 100000\n3918 5910\n61326 92014\n3113 4711\n40416 60788\n43887 65955\n28164 42410\n54335 81520\n62231 93359\n69795 100000\n34300 51632\n84553 100000\n74992 100000\n48952 73499\n16670 25109\n44869 67435\n42079 63276\n68388 100000\n72868 100000\n98546 100000\n57798 86702\n41067 61770\n36138 54347\n17283 26044\n68735 100000\n60752 91162\n15011 22604\n83087 100000\n13390 20166\n67568 100000\n74646 100000\n67290 100000\n51092 76692\n58383 87569\n8789 13202\n25516 38459\n19302 29081\n37904 57016\n74854 100000\n50691 76099\n45232 67979\n74548 100000\n5830 8760\n67735 100000\n43774 65787\n81729 100000\n72776 100000\n23522 35453\n88296 100000\n34361 51718\n81016 100000\n82581 100000\n58778 88170\n16792 25285\n41998 63157\n18463 27825\n53854 80813\n93230 100000\n13678 20594\n11661 17547\n20298 30564\n71121 100000\n29627 44621\n28196 42457\n697 1045\n96230 100000\n84994 100000\n86925 100000\n33359 50227\n35699 53692\n59763 89656\n33474 50396\n84480 100000\n34689 52201\n56546 84828\n73829 100000\n27405 41266\n99513 100000\n89497 100000\n16908 25462\n77784 100000\n70753 100000\n75435 100000\n16569 24955\n77124 100000\n83645 100000\n79130 100000\n91884 100000\n8810 13235\n36521 54928\n49524 74372\n46990 70592\n773 1159\n15125 22774\n2398 3624\n91758 100000\n70395 100000\n12963 19525\n12016 18071\n16879 25418\n18864 28422\n68340 100000\n10471 15749\n90455 100000\n97884 100000\n80634 100000\n98180 100000\n1273 1909\n48951 73498\n11901 17904\n85504 100000\n84595 100000\n8437 12662\n94827 100000\n87669 100000\n69892 100000\n6185 9289\n62825 94227\n16947 25525\n41486 62398\n57669 86494\n82940 100000\n53433 80206\n72381 100000\n87990 100000\n88617 100000\n8696 13059\n21162 31897\n75101 100000\n39576 59539\n30730 46289\n76134 100000\n73667 100000\n69653 100000\n71228 100000\n80922 100000\n25162 37920\n17752 26749\n30459 45884\n7173 10778\n81562 100000\n7132 10710\n55440 83196\n16107 24275\n4743 7155\n80446 100000\n85146 100000\n32552 49021\n84121 100000\n64636 96941\n771 1156\n46685 70128\n52483 78785\n25309 38144\n40313 60631\n26149 39402\n86538 100000\n99681 100000\n38708 58225\n92857 100000\n49668 74584\n59625 89447\n11592 17442\n27709 41725\n95372 100000\n28975 43632\n54614 81939\n83686 100000\n84616 100000\n77522 100000\n5895 8860\n79469 100000\n46531 69900\n31886 48024\n46994 70598\n45159 67871\n66715 100000\n82893 100000\n72662 100000\n23328 35156\n38582 58044\n2141 3240\n44706 67193\n96366 100000\n14855 22366\n73964 100000\n24643 37134\n33235 50048\n42011 63176\n54244 81384\n26881 40495\n21824 32897\n56754 85139\n63362 95031\n58125 87193\n35173 52916\n60510 90785\n30606 46107\n25335 38180\n36030 54184\n71238 100000\n40793 61355\n8039 12076\n42085 63285\n35811 53862\n25985 39160\n65807 98692\n22125 33356\n81803 100000\n12899 19426\n95161 100000\n56043 84083\n1008 1506\n36499 54897\n9233 13871\n77970 100000\n12561 18896\n9254 13906\n60070 90123\n10150 15268\n18118 27296\n42046 63227\n76129 100000\n11769 17707\n29398 44270\n31576 47557\n71846 100000\n87932 100000\n84053 100000\n19931 30019\n59508 89275\n72752 100000\n38399 57774\n19098 28765\n6855 10292\n93601 100000\n41108 61832\n75054 100000\n24229 36517\n95526 100000\n42177 63421\n77192 100000\n10543 15851\n29601 44582\n85955 100000\n5324 7997\n34962 52594\n20288 30550\n56943 85423\n5756 8642\n71885 100000\n56502 84762\n38133 57371\n84342 100000\n63518 95264\n14325 21555\n43941 66042\n88253 100000\n17477 26330\n61399 92122\n84998 100000\n88451 100000\n74532 100000\n53114 79738\n25746 38816\n92344 100000\n21837 32920\n33415 50306\n65391 98080\n75804 100000\n13337 20090\n19916 29997\n73333 100000\n70499 100000\n73199 100000\n32764 49328\n10791 16227\n47305 71062\n17142 25827\n42651 64128\n8170 12276\n49528 74376\n13619 20503\n49888 74901\n74713 100000\n91335 100000\n23567 35523\n23086 34791\n19611 29539\n23907 36035\n55886 83845\n48175 72341\n29277 44090\n68883 100000\n80659 100000\n13014 19601\n19074 28727\n78288 100000\n28578 43026\n99485 100000\n19004 28628\n11909 17917\n92967 100000\n75565 100000\n11272 16961\n51382 77119\n46121 69281\n56526 84800\n5795 8701\n36857 55432\n35675 53650\n87260 100000\n80053 100000\n22708 34210\n42343 63665\n59545 89333\n63542 95306\n97250 100000\n42010 63175\n39418 59304\n87419 100000\n56541 84822\n26981 40645\n37336 56149\n44713 67204\n26070 39282\n64279 96407\n36182 54413\n85124 100000\n19508 29383\n41439 62329\n24008 36188\n43870 65930\n2432 3675\n60155 90255\n98725 100000\n37714 56719\n69616 100000\n49651 74560\n40504 60919\n49054 73652\n83305 100000\n71826 100000\n22330 33657\n17151 25841\n44375 66692\n33157 49931\n47273 71012\n46258 69491\n25340 38187\n53548 80364\n98080 100000\n60027 90056\n13063 19675\n40107 60326\n98351 100000\n31399 47289\n15273 23002\n21628 32607\n79230 100000\n74640 100000\n49471 74285\n33568 50537\n36297 54593\n25433 38334\n89623 100000\n31754 47822\n74143 100000\n29193 43966\n81027 100000\n69444 100000\n31570 47549\n36149 54363\n99660 100000\n82821 100000\n56099 84168\n82664 100000\n20219 30448\n65329 97982\n88002 100000\n68733 100000\n9889 14866\n62769 94143\n90929 100000\n21362 32210\n45027 67670\n6538 9814\n17406 26220\n40397 60759\n51128 76744\n8665 13009\n18547 27958\n54158 81257\n58629 87933\n47651 71575\n22936 34557\n5147 7745\n56527 84801\n4306 6491\n37975 57123\n45914 68966\n522 771\n38454 57856\n5513 8277\n38259 57565\n61228 91866\n74086 100000\n47620 71530\n45109 67797\n34822 52394\n33040 49761\n51512 77316\n65878 98800\n56158 84259\n24908 37554\n14394 21664\n17825 26857\n83582 100000\n86828 100000\n79506 100000\n62613 93912\n94422 100000\n51154 76785\n19987 30104\n46172 69360\n26346 39690\n14177 21346\n28558 42995\n3687 5563\n93674 100000\n56896 85353\n80955 100000\n38212 57492\n74239 100000\n85795 100000\n48837 73328\n51748 77685\n59031 88559\n17746 26742\n48172 72335\n62872 94291\n19313 29096\n51122 76736\n3797 5726\n71440 100000\n50821 76297\n75836 100000\n87461 100000\n44703 67188\n51769 77715\n47241 70967\n71991 100000\n18827 28371\n28278 42580\n12281 18476\n77327 100000\n17395 26203\n25530 38481\n29821 44919\n77107 100000\n28477 42875\n56173 84282\n79171 100000\n47215 70930\n32099 48342\n19712 29690\n40677 61176\n74878 100000\n76427 100000\n39342 59191\n7850 11794\n88276 100000\n94604 100000\n66730 100000\n93418 100000\n91592 100000\n46114 69270\n5812 8729\n28315 42636\n29151 43897\n28252 42539\n53289 79996\n49517 74361\n45808 68815\n95980 100000\n29751 44817\n43054 64722\n59603 89415\n88752 100000\n98276 100000\n69178 100000\n46992 70595\n34671 52175\n24069 36279\n38225 57511\n45406 68233\n75282 100000\n90025 100000\n12258 18441\n73517 100000\n61922 92894\n56487 84742\n8162 12264\n83089 100000\n53508 80305\n7154 10750\n36883 55472\n21151 31880\n88245 100000\n14308 21533\n25005 37688\n77754 100000\n4928 7431\n19641 29582\n83756 100000\n14684 22105\n79843 100000\n51799 77762\n23877 35992\n93856 100000\n27054 40745\n61934 92911\n3103 4694\n44449 66799\n99403 100000\n8144 12238\n5462 8202\n88697 100000\n65111 97654\n34108 51345\n34894 52495\n31093 46819\n45183 67905\n70835 100000\n73786 100000\n75368 100000\n55957 83951\n89404 100000\n26685 40198\n66373 99557\n13789 20764\n74525 100000\n92672 100000\n48419 72707\n39398 59275\n77237 100000\n5336 8014\n76137 100000\n43757 65762\n19351 29150\n33281 50116\n15577 23467\n90337 100000\n58350 87524\n3348 5065\n7730 11615\n88776 100000\n51205 76862\n24933 37589\n22253 33545\n84765 100000\n46254 69484\n29399 44272\n66393 99584\n71111 100000\n61632 92465\n96743 100000\n94833 100000\n44419 66755\n97899 100000\n82914 100000\n67182 100000\n53663 80532\n52122 78243\n40497 60908\n33113 49870\n58834 88257\n18112 27287\n12649 19036\n16358 24648\n47378 71171\n14043 21150\n74596 100000\n82281 100000\n41604 62568\n12684 19090\n95987 100000\n44077 66240\n27815 41885\n71114 100000\n92028 100000\n57802 86707\n82217 100000\n69434 100000\n22382 33731\n56275 84426\n39724 59760\n86149 100000\n9771 14689\n53410 80171\n42734 64248\n77259 100000\n67714 100000\n1397 2098\n7583 11394\n29332 44173\n8501 12766\n62044 93075\n3751 5663\n83119 100000\n82667 100000\n43114 64810\n43190 64924\n99731 100000\n1401 2103\n4197 6331\n85323 100000\n42892 64476\n98699 100000\n2769 4194\n15372 23163\n22993 34650\n52434 78715\n62485 93725\n62009 93025\n43486 65367\n35095 52797\n83441 100000\n62518 93769\n95152 100000\n87030 100000\n46782 70273\n10281 15464\n28025 42186\n79615 100000\n69453 100000\n13676 20591\n33911 51058\n27383 41234\n2639 3989\n71163 100000\n12235 18408\n3155 4770\n96526 100000\n62018 93037\n11653 17536\n84821 100000\n22852 34428\n81057 100000\n39617 59599\n83722 100000\n16104 24270\n93690 100000\n43358 65182\n67814 100000\n74716 100000\n48589 72957\n12658 19047\n95153 100000\n65825 98721\n9517 14307\n45813 68824\n95829 100000\n23404 35267\n15621 23535\n40178 60432\n73637 100000\n3669 5537\n12354 18581\n41738 62766\n65478 98220\n35034 52701\n35705 53700\n19590 29504\n27543 41480\n61585 92392\n27751 41790\n35128 52846\n72494 100000\n15838 23870\n56426 84650\n32062 48284\n18592 28026\n94335 100000\n35342 53161\n59367 89063\n74677 100000\n24739 37289\n20851 31422\n69448 100000\n80588 100000\n45943 69013\n2971 4495\n38347 57698\n27675 41676\n76932 100000\n74502 100000\n77182 100000\n13838 20836\n93385 100000\n65155 97724\n94641 100000\n11438 17215\n90212 100000\n65496 98248\n41461 62360\n93868 100000\n13723 20661\n10857 16328\n21870 32971\n22181 33435\n90404 100000\n84115 100000\n38361 57717\n93490 100000\n76154 100000\n65657 98481\n59278 88925\n38099 57322\n88497 100000\n29799 44882\n92002 100000\n17969 27073\n82462 100000\n568 845\n14097 21229\n74058 100000\n20375 30677\n13500 20327\n10760 16182\n34418 51801\n82672 100000\n71242 100000\n41121 61855\n95338 100000\n54302 81471\n9225 13861\n63617 95426\n45566 68456\n60748 91155\n48865 73368\n12946 19497\n65470 98206\n55727 83617\n83730 100000\n8882 13346\n23174 34928\n53849 80806\n16620 25032\n65891 98819\n26720 40249\n53344 80076\n11131 16756\n19732 29722\n85732 100000\n24842 37454\n11305 17014\n65473 98210\n45593 68493\n78642 100000\n99813 100000\n32235 48549\n45543 68424\n36688 55182\n78858 100000\n95295 100000\n76400 100000\n58432 87636\n65814 98706\n15909 23973\n23335 35165\n78856 100000\n20126 30310\n22046 33237\n84655 100000\n75691 100000\n16084 24235\n12509 18819\n40218 60486\n52607 78978\n33342 50205\n94862 100000\n85356 100000\n73265 100000\n42374 63710\n54130 81211\n12807 19287\n66685 100000\n26571 40031\n41816 62886\n22518 33930\n4513 6803\n53003 79570\n42113 63326\n17437 26270\n44009 66146\n239 341\n22541 33963\n75479 100000\n21192 31942\n81361 100000\n81766 100000\n75584 100000\n68696 100000\n73437 100000\n83772 100000\n30833 46432\n8238 12374\n97329 100000\n17272 26031\n33176 49958\n33343 50206\n38520 57953\n22898 34498\n9592 14421\n47107 70776\n94386 100000\n74172 100000\n70006 100000\n92905 100000\n2159 3267\n13827 20820\n83165 100000\n97388 100000\n85959 100000\n79765 100000\n8920 13399\n86239 100000\n71658 100000\n18312 27597\n33858 50979\n26020 39209\n49470 74284\n10348 15565\n19532 29419\n98848 100000\n1300 1950\n22597 34042\n40617 61090\n405 596\n46422 69740\n47600 71502\n12491 18790\n20358 30653\n36415 54772\n59188 88789\n72556 100000\n67044 100000\n38493 57910\n35993 54130\n28550 42982\n86759 100000\n40184 60439\n11969 18002\n54290 81454\n64079 96112\n19706 29680\n30213 45524\n20873 31454\n39221 59000\n37388 56228\n37603 56549\n49074 73684\n13792 20769\n27416 41283\n18245 27492\n60951 91444\n1025 1530\n19910 29987\n63441 95148\n86056 100000\n5707 8574\n66333 99497\n26818 40398\n23213 34986\n17706 26682\n14974 22552\n44801 67339\n76225 100000\n36383 54723\n35835 53896\n45594 68495\n32720 49259\n51244 76918\n47936 71994\n64441 96655\n76036 100000\n88085 100000\n65179 97763\n39336 59181\n92623 100000\n35795 53837\n92854 100000\n83626 100000\n27774 41824\n67934 100000\n60548 90842\n28939 43576\n31108 46842\n74687 100000\n12021 18079\n97721 100000\n84577 100000\n71429 100000\n22712 34216\n32094 48334\n42930 64535\n66562 99836\n43037 64693\n48876 73382\n23350 35189\n59515 89285\n61730 92611\n26132 39376\n17101 25763\n53360 80099\n72306 100000\n58094 87147\n37311 56113\n53826 80774\n56626 84947\n8887 13353\n69334 100000\n37606 56553\n76414 100000\n98214 100000\n32522 48973\n43810 65844\n18134 27318\n81894 100000\n83814 100000\n49377 74146\n18888 28459\n61292 91966\n37173 55909\n41514 62437\n47791 71782\n16748 25220\n6424 9644\n25456 38370\n55097 82667\n25974 39143\n33550 50507\n60290 90451\n28986 43647\n20722 31221\n16225 24447\n99210 100000\n61407 92133\n67230 100000\n84828 100000\n38628 58108\n41229 62018\n78943 100000\n47597 71498\n80114 100000\n13710 20643\n36152 54368\n81 120\n40027 60211\n33080 49821\n1044 1558\n58031 87049\n24898 37540\n52090 78189\n88590 100000\n5494 8247\n38414 57798\n97045 100000\n30007 45203\n32114 48364\n82585 100000\n10804 16250\n426 629\n25722 38778\n69964 100000\n88309 100000\n77568 100000\n30924 46567\n74129 100000\n76916 100000\n32400 48789\n3517 5312\n67081 100000\n12244 18422\n5571 8360\n47208 70922\n18413 27746\n51714 77631\n94052 100000\n30339 45707\n77328 100000\n23417 35289\n98140 100000\n42149 63380\n3062 4632\n63209 94801\n65482 98226\n34196 51475\n59554 89346\n5523 8288\n27115 40839\n67286 100000\n57852 86777\n9216 13846\n28000 42147\n52418 78691\n65165 97742\n7875 11833\n78396 100000\n19314 29097\n15675 23620\n80653 100000\n69102 100000\n17418 26239\n44921 67506\n77626 100000\n1882 2839\n61609 92427\n84340 100000\n31899 48042\n59872 89827\n86974 100000\n89321 100000\n52378 78628\n56556 84842\n87102 100000\n59753 89639\n61714 92586\n83887 100000\n73457 100000\n64887 97321\n55369 83091\n32811 49402\n45735 68704\n30327 45688\n5253 7895\n32494 48932\n29725 44774\n49173 73837\n21546 32484\n54658 82002\n81763 100000\n30524 45979\n94674 100000\n65353 98019\n99241 100000\n50344 75580\n17526 26402\n89538 100000\n36147 54360\n29965 45142\n41473 62379\n8192 12309\n27905 42019\n35154 52886\n56181 84292\n73979 100000\n23601 35575\n93434 100000\n23052 34739\n59840 89782\n68942 100000\n64296 96433\n48129 72272\n47441 71264\n29706 44744\n42983 64611\n41017 61693\n26167 39427\n39494 59418\n27569 41515\n66442 99659\n44840 67393\n56690 85046\n69094 100000\n45870 68905\n54155 81252\n55897 83865\n25449 38359\n82218 100000\n4862 7331\n55255 82909\n35252 53030\n6514 9780\n20124 30306\n80795 100000\n22525 33939\n64016 96022\n84018 100000\n81153 100000\n59810 89732\n91814 100000\n2909 4409\n25082 37806\n9328 14017\n11342 17070\n1873 2824\n33638 50646\n25065 37780\n24380 36745\n12374 18613\n72534 100000\n97200 100000\n23607 35583\n73804 100000\n80280 100000\n85178 100000\n43421 65275\n76994 100000\n20001 30124\n53305 80021\n27048 40737\n64334 96489\n61858 92798\n21100 31800\n36971 55604\n21057 31734\n29861 44982\n37672 56652\n60554 90851\n66483 99718\n95507 100000\n17370 26167\n71830 100000\n45474 68327\n75279 100000\n85727 100000\n7203 10822\n14454 21758\n76909 100000\n96674 100000\n66310 99464\n92489 100000\n45224 67965\n33099 49852\n2795 4237\n12866 19374\n43982 66106\n98747 100000\n7517 11295\n41843 62924\n95070 100000\n84661 100000\n36829 55392\n5655 8489\n74388 100000\n95801 100000\n63813 95723\n38152 57403\n33224 50029\n15620 23534\n23140 34874\n88887 100000\n46141 69313\n90528 100000\n11823 17788\n91103 100000\n40441 60823\n56901 85359\n87356 100000\n70150 100000\n95208 100000\n76751 100000\n76245 100000\n12648 19034\n80854 100000\n59236 88858\n77678 100000\n62008 93024\n38858 58464\n82888 100000\n48647 73042\n5949 8944\n96336 100000\n2800 4246\n64120 96174\n40095 60309\n15005 22594\n10777 16207\n5109 7687\n82444 100000\n88812 100000\n70651 100000\n1288 1934\n23259 35052\n83801 100000\n13505 20334\n90363 100000\n11324 17045\n60903 91376\n79797 100000\n22069 33272\n21135 31854\n59322 88991\n53014 79587\n51296 76994\n85673 100000\n41706 62723\n28323 42646\n99075 100000\n51710 77625\n65985 98969\n407 599\n43090 64777\n69634 100000\n95354 100000\n27026 40709\n40084 60292\n14887 22416\n14065 21184\n53620 80467\n27911 42027\n72629 100000\n5317 7987\n95382 100000\n10534 15838\n99073 100000\n30942 46593\n51199 76853\n25954 39119\n64117 96170\n7538 11327\n58396 87583\n58064 87102\n2020 3053\n16612 25020\n65701 98545\n8068 12123\n34577 52031\n36562 54996\n60518 90797\n99618 100000\n88445 100000\n12858 19360\n50246 75437\n88158 100000\n67233 100000\n66739 100000\n85755 100000\n48626 73009\n67152 100000\n72116 100000\n37361 56186\n6817 10233\n95110 100000\n29246 44042\n78051 100000\n66010 99001\n17100 25762\n57871 86808\n60340 90531\n40118 60341\n10653 16019\n47659 71586\n14576 21943\n9410 14142\n46677 70114\n23050 34736\n77643 100000\n59932 89916\n11444 17224\n72403 100000\n32402 48792\n386 566\n94488 100000\n70479 100000\n21643 32628\n37892 56998\n92306 100000\n82252 100000\n38973 58629\n73691 100000\n27874 41969\n55980 83987\n11374 17118\n9123 13710\n83991 100000\n70649 100000\n72487 100000\n14505 21838\n26889 40509\n70481 100000\n95332 100000\n46676 70113\n33294 50137\n92503 100000\n95268 100000\n2225 3368\n98078 100000\n51314 77017\n3659 5522\n93589 100000\n20054 30205\n27534 41467\n66823 100000\n77289 100000\n78674 100000\n70825 100000\n21691 32697\n15450 23274\n4515 6807\n59835 89774\n76817 100000\n35607 53547\n27719 41740\n23571 35528\n54777 82179\n22765 34299\n60666 91020\n27108 40827\n20409 30731\n23375 35228\n69755 100000\n89250 100000\n85668 100000\n29719 44764\n3946 5955\n12056 18133\n27822 41894\n3483 5265\n96394 100000\n3362 5087\n47319 71082\n20121 30301\n76805 100000\n1429 2146\n28352 42685\n51198 76851\n40097 60313\n64277 96404\n70415 100000\n2157 3264\n35673 53648\n54657 82001\n28210 42476\n96293 100000\n90106 100000\n77172 100000\n40289 60598\n66854 100000\n31494 47435\n83597 100000\n58704 88045\n74056 100000\n13880 20903\n82514 100000\n31930 48089\n73055 100000\n86940 100000\n32454 48868\n91638 100000\n70661 100000\n46682 70122\n17400 26211\n87446 100000\n74022 100000\n84237 100000\n49601 74491\n78262 100000\n39952 60093\n97848 100000\n59163 88752\n51120 76734\n56440 84669\n35248 53024\n89977 100000\n21229 31997\n32864 49479\n67161 100000\n46883 70421\n37357 56180\n25228 38020\n54229 81363\n85685 100000\n36602 55062\n24042 36242\n40679 61179\n10017 15069\n9318 14002\n76613 100000\n14129 21280\n14929 22482\n6688 10041\n58971 88466\n53888 80866\n27565 41510\n69234 100000\n46814 70319\n39588 59558\n14533 21878\n81959 100000\n95435 100000\n64854 97271\n72773 100000\n35443 53318\n44280 66546\n77360 100000\n34565 52014\n15998 24104\n67660 100000\n58312 87465\n55574 83396\n98163 100000\n16399 24704\n82229 100000\n1420 2132\n78164 100000\n7429 11166\n61453 92200\n18699 28185\n59442 89172\n26590 40058\n37562 56488\n75193 100000\n24472 36881\n51803 77768\n74030 100000\n6784 10187\n55128 82717\n82098 100000\n88948 100000\n26114 39349\n53748 80661\n18407 27737\n63738 95609\n81284 100000\n70705 100000\n24113 36345\n49809 74786\n98368 100000\n50052 75142\n17760 26759\n73895 100000\n35982 54113\n61410 92139\n39815 59897\n21471 32370\n42554 63983\n1761 2656\n23698 35721\n8522 12793\n92216 100000\n28829 43410\n15901 23961\n12903 19432\n7489 11260\n82374 100000\n18068 27219\n12040 18107\n64815 97215\n17087 25742\n99671 100000\n34280 51603\n84069 100000\n25886 39025\n86711 100000\n98683 100000\n85944 100000\n37979 57129\n6793 10201\n80032 100000\n74370 100000\n92887 100000\n16377 24676\n38938 58581\n32428 48828\n62511 93759\n28778 43334\n22644 34112\n81334 100000\n6206 9322\n55994 84008\n79021 100000\n14421 21706\n57057 85595\n43899 65972\n97892 100000\n31620 47620\n64046 96063\n54669 82017\n854 1275\n17608 26533\n75203 100000\n94450 100000\n11537 17366\n66513 99764\n16193 24400\n14637 22037\n39754 59806\n1392 2091\n81479 100000\n65997 98986\n71166 100000\n38817 58398\n58344 87516\n28972 43628\n81261 100000\n41929 63054\n15666 23605\n41712 62729\n26876 40487\n14865 22383\n14428 21715\n21855 32946\n55023 82552\n98692 100000\n58541 87796\n61117 91701\n90276 100000\n84993 100000\n62465 93696\n3433 5193\n18483 27856\n55716 83601\n82141 100000\n57700 86544\n42949 64564\n88260 100000\n38025 57205\n60134 90223\n70727 100000\n359 522\n25689 38730\n62540 93807\n1305 1956\n30892 46518\n98209 100000\n3277 4962\n70188 100000\n14033 21135\n94566 100000\n53417 80180\n93097 100000\n5268 7917\n29556 44510\n36547 54969\n71140 100000\n56983 85484\n50517 75836\n86068 100000\n6683 10035\n59343 89023\n86139 100000\n95901 100000\n20796 31336\n35500 53400\n77498 100000\n37705 56703\n13477 20297\n54948 82442\n94284 100000\n32601 49093\n76992 100000\n62505 93753\n60485 90749\n76533 100000\n74192 100000\n80793 100000\n29527 44466\n50235 75418\n90883 100000\n24276 36587\n91825 100000\n31176 46952\n21183 31929\n47094 70756\n81176 100000\n2419 3655\n80503 100000\n65574 98356\n24927 37580\n39646 59645\n51780 77731\n60826 91267\n47453 71283\n22830 34392\n80226 100000\n53436 80210\n98531 100000\n90738 100000\n64161 96236\n64091 96131\n26249 39546\n32024 48226\n14557 21914\n5978 8984\n48320 72560\n32595 49084\n35245 53021\n17063 25706\n4492 6772\n89770 100000\n1449 2178\n41581 62533\n35771 53800\n92919 100000\n51947 77980\n79739 100000\n6553 9835\n86188 100000\n18583 28011\n79566 100000\n75587 100000\n97575 100000\n53138 79774\n63650 95478\n75905 100000\n53855 80815\n79540 100000\n87233 100000\n96378 100000\n73249 100000\n90840 100000\n57138 85716\n54281 81442\n46658 70086\n16124 24303\n75732 100000\n47363 71148\n35054 52733\n51262 76946\n61834 92762\n81993 100000\n37610 56558\n72580 100000\n35776 53807\n70927 100000\n84626 100000\n33350 50215\n784 1176\n70442 100000\n32860 49473\n66193 99288\n44250 66499\n40464 60861\n22309 33625\n51543 77369\n99597 100000\n18458 27818\n44316 66598\n69460 100000\n77595 100000\n40955 61593\n89002 100000\n32260 48582\n71338 100000\n5722 8597\n63088 94617\n49697 74622\n90175 100000\n78494 100000\n1476 2219\n75201 100000\n80092 100000\n54173 81278\n29644 44647\n97495 100000\n61032 91567\n70500 100000\n35418 53281\n71946 100000\n30577 46059\n37918 57037\n38403 57781\n25678 38711\n85044 100000\n61638 92474\n91092 100000\n91250 100000\n93257 100000\n14776 22241\n94689 100000\n42807 64349\n31341 47200\n74041 100000\n60414 90644\n90967 100000\n91624 100000\n77963 100000\n32055 48273\n96722 100000\n66087 99121\n38804 58378\n66716 100000\n47330 71099\n40626 61104\n38601 58070\n53564 80387\n13268 19986\n5922 8904\n96102 100000\n35782 53818\n9632 14481\n69785 100000\n57980 86978\n76879 100000\n62631 93940\n6244 9376\n35992 54129\n56957 85444\n75056 100000\n77167 100000\n63780 95673\n17492 26352\n50077 75179\n816 1221\n80352 100000\n42558 63988\n33358 50226\n1814 2738\n57831 86746\n80122 100000\n91097 100000\n63255 94871\n38258 57563\n22202 33467\n7330 11010\n18571 27994\n63176 94754\n55177 82790\n25491 38423\n69391 100000\n57215 85831\n63372 95043\n3389 5127\n74096 100000\n65335 97992\n30310 45664\n51504 77305\n73720 100000\n93980 100000\n26874 40484\n91824 100000\n77688 100000\n1308 1960\n46051 69175\n48508 72845\n83098 100000\n33284 50120\n28200 42463\n67449 100000\n1625 2446\n60935 91421\n34949 52574\n33527 50473\n63298 94939\n3092 4674\n48188 72362\n32219 48527\n50694 76105\n71573 100000\n25295 38119\n95477 100000\n52871 79365\n52425 78702\n41291 62110\n77625 100000\n23749 35799\n2487 3763\n22141 33376\n65283 97916\n24026 36221\n85584 100000\n96024 100000\n96316 100000\n55828 83764\n69449 100000\n86075 100000\n44459 66812\n62444 93666\n39006 58681\n51167 76807\n75490 100000\n97269 100000\n91806 100000\n15250 22965\n29245 44040\n75667 100000\n5123 7707\n43591 65524\n48064 72186\n20773 31299\n79200 100000\n79443 100000\n43371 65204\n50897 76411\n6121 9191\n84203 100000\n21708 32718\n38612 58086\n16237 24468\n97053 100000\n4899 7389\n23201 34967\n43291 65080\n39744 59792\n32448 48858\n31166 46936\n16465 24800\n79433 100000\n66076 99102\n99586 100000\n28849 43441\n21786 32840\n23473 35376\n20944 31556\n94639 100000\n13743 20690\n44031 66176\n83292 100000\n38755 58299\n12521 18837\n36816 55372\n24853 37467\n32867 49484\n1410 2117\n46059 69188\n24830 37437\n32998 49696\n12973 19540\n72764 100000\n68278 100000\n56762 85149\n75449 100000\n1763 2659\n95334 100000\n4458 6720\n15534 23403\n68457 100000\n87198 100000\n92650 100000\n53936 80934\n16641 25066\n32559 49033\n38714 58233\n35649 53609\n78873 100000\n80746 100000\n2855 4326\n27587 41543\n97700 100000\n72719 100000\n66178 99267\n89545 100000\n64977 97451\n55490 83269\n4183 6312\n19719 29701\n79725 100000\n77571 100000\n46361 69649\n3916 5907\n57636 86448\n22052 33246\n91997 100000\n91322 100000\n90062 100000\n41721 62743\n82659 100000\n21998 33166\n70750 100000\n54035 81079\n86205 100000\n20410 30733\n98141 100000\n91810 100000\n33939 51101\n74959 100000\n15091 22724\n11141 16769\n34846 52428\n47759 71731\n6724 10092\n43436 65296\n68204 100000\n53533 80343\n12128 18245\n53276 79976\n86584 100000\n20421 30749\n70504 100000\n67416 100000\n24454 36855\n27483 41385\n39061 58758\n35004 52658\n75277 100000\n79035 100000\n12115 18223\n71641 100000\n30653 46173\n77266 100000\n79590 100000\n53468 80252\n12273 18465\n81125 100000\n31768 47844\n1034 1544\n92165 100000\n41762 62807\n62895 94325\n26724 40256\n5666 8507\n65861 98772\n44008 66145\n19160 28864\n14607 21989\n57296 85961\n62740 94099\n12046 18116\n71906 100000\n90963 100000\n8799 13219\n69938 100000\n92842 100000\n60531 90818\n11770 17709\n34364 51722\n62266 93408\n78528 100000\n69725 100000\n40737 61271\n92936 100000\n78326 100000\n71828 100000\n87373 100000\n76240 100000\n33828 50933\n62286 93436\n5330 8005\n34261 51572\n2439 3684\n97788 100000\n28144 42377\n16754 25228\n41596 62555\n37838 56913\n5224 7858\n42527 63943\n29823 44922\n87452 100000\n21286 32089\n12006 18054\n40548 60989\n25790 38883\n8952 13449\n95611 100000\n12863 19369\n39057 58754\n63417 95116\n30208 45515\n28826 43407\n70353 100000\n22913 34523\n49937 74973\n37941 57074\n93952 100000\n43191 64925\n3159 4776\n67097 100000\n65369 98045\n67944 100000\n72157 100000\n164 239\n38070 57274\n69688 100000\n15223 22924\n9086 13651\n2046 3091\n35040 52710\n95849 100000\n23265 35062\n58468 87689\n22788 34334\n65653 98476\n41433 62321\n10617 15961\n79470 100000\n93797 100000\n45326 68116\n20449 30793\n49458 74266\n30604 46104\n33199 49991\n16007 24119\n37619 56573\n85105 100000\n8809 13234\n20045 30191\n15084 22715\n88220 100000\n54059 81111\n45364 68172\n35340 53158\n21385 32241\n40283 60587\n84930 100000\n63785 95681\n11248 16922\n77687 100000\n48341 72592\n31742 47802\n79651 100000\n27750 41788\n99021 100000\n28950 43592\n20051 30200\n34828 52404\n99808 100000\n96312 100000\n11945 17966\n61559 92352\n59053 88590\n79326 100000\n8345 12529\n24556 36998\n10084 15171\n71053 100000\n83564 100000\n44324 66610\n42427 63792\n88033 100000\n36777 55315\n91224 100000\n66336 99502\n18512 27900\n2234 3382\n75287 100000\n58873 88314\n9391 14115\n45523 68399\n18516 27906\n40064 60265\n23550 35498\n73442 100000\n99096 100000\n61196 91818\n20981 31616\n62298 93454\n14091 21219\n66967 100000\n36281 54567\n97964 100000\n20439 30777\n45134 67831\n27504 41420\n91367 100000\n20289 30551\n74331 100000\n12991 19568\n27247 41036\n65191 97783\n11121 16739\n62664 93995\n6521 9792\n24984 37659\n94576 100000\n40985 61643\n89074 100000\n63006 94487\n68280 100000\n82143 100000\n53680 80560\n82166 100000\n84794 100000\n11615 17475\n42829 64382\n90386 100000\n31484 47420\n98324 100000\n21407 32274\n24115 36347\n14513 21848\n56087 84149\n14719 22158\n32512 48959\n81672 100000\n99541 100000\n94059 100000\n67253 100000\n65158 97730\n41542 62480\n31144 46901\n22421 33789\n26369 39725\n83674 100000\n96057 100000\n39397 59274\n58329 87493\n40605 61074\n37532 56443\n25333 38177\n15711 23671\n37898 57008\n61963 92952\n29175 43936\n79172 100000\n8134 12221\n81031 100000\n66038 99046\n52699 79109\n31068 46782\n84748 100000\n16996 25601\n29613 44601\n66974 100000\n59757 89646\n30893 46519\n18642 28100\n2740 4144\n15784 23776\n49545 74401\n76417 100000\n44430 66773\n84265 100000\n16523 24893\n54894 82356\n86489 100000\n70953 100000\n63104 94640\n8024 12054\n43913 65996\n3185 4816\n70082 100000\n508 750\n92406 100000\n18875 28437\n46300 69559\n66371 99555\n53645 80507\n93722 100000\n8527 12799\n62078 93126\n93661 100000\n60312 90486\n17473 26326\n46915 70469\n67005 100000\n89805 100000\n22797 34344\n6167 9258\n74440 100000\n42213 63472\n63197 94785\n92741 100000\n19904 29979\n81254 100000\n39091 58805\n4400 6634\n62251 93385\n4427 6674\n85390 100000\n27168 40918\n43543 65457\n41188 61958\n44256 66509\n69418 100000\n44572 66985\n81109 100000\n53840 80794\n54111 81182\n38074 57280\n42495 63894\n12344 18566\n2139 3237\n39896 60016\n15075 22701\n37244 56017\n53642 80501\n32313 48665\n7438 11181\n55610 83450\n79877 100000\n32794 49376\n43463 65333\n71510 100000\n74808 100000\n75375 100000\n17329 26111\n49457 74265\n52084 78182\n36784 55325\n3058 4624\n49266 73979\n60608 90937\n67764 100000\n43642 65601\n54057 81108\n73508 100000\n21097 31795\n84400 100000\n15890 23945\n44347 66648\n48905 73426\n4823 7269\n10569 15891\n43107 64801\n7763 11662\n58139 87211\n11277 16968\n11542 17372\n3270 4951\n49633 74533\n42062 63252\n26711 40236\n35318 53127\n11625 17489\n98771 100000\n72476 100000\n64597 96887\n10401 15649\n18675 28150\n32797 49381\n95702 100000\n44595 67022\n35862 53940\n69459 100000\n18543 27952\n18940 28534\n33470 50389\n94638 100000\n8424 12641\n54003 81034\n71671 100000\n49179 73846\n27726 41752\n99978 100000\n10700 16094\n31836 47947\n3535 5339\n67525 100000\n63786 95682\n20596 31018\n33216 50015\n35739 53753\n51279 76969\n26743 40285\n81081 100000\n59270 88910\n54191 81306\n94090 100000\n62498 93742\n90709 100000\n32889 49521\n42226 63493\n60216 90344\n44305 66580\n49443 74242\n26713 40238\n49816 74797\n81474 100000\n62025 93047\n38335 57682\n54558 81857\n15306 23053\n82827 100000\n61440 92182\n14690 22114\n93806 100000\n10244 15411\n89370 100000\n2854 4325\n51322 77028\n96937 100000\n15215 22911\n6599 9902\n66366 99546\n36160 54381\n2511 3799\n57711 86564\n52540 78878\n90866 100000\n61710 92580\n62532 93792\n88210 100000\n80959 100000\n88685 100000\n69302 100000\n26226 39511\n7754 11651\n61112 91693\n30923 46565\n6088 9138\n20490 30858\n71948 100000\n46925 70487\n49159 73814\n76650 100000\n16005 24115\n28370 42714\n63364 95033\n56643 84970\n1585 2382\n9200 13822\n11654 17538\n2775 4205\n33028 49746\n24848 37461\n26894 40517\n7579 11387\n28546 42975\n33724 50775\n29695 44728\n39015 58694\n78781 100000\n51177 76821\n52507 78821\n99853 100000\n3332 5038\n86862 100000\n63091 94621\n43023 64674\n5087 7656\n50931 76461\n93639 100000\n62228 93354\n30371 45752\n58092 87144\n98059 100000\n71669 100000\n7613 11439\n55492 83271\n85857 100000\n9460 14220\n10548 15860\n22556 33986\n40286 60593\n43033 64687\n7688 11552\n76779 100000\n12349 18574\n87297 100000\n67674 100000\n22307 33623\n23742 35787\n79662 100000\n17539 26424\n71950 100000\n30267 45604\n90721 100000\n21553 32495\n53558 80380\n52820 79289\n94595 100000\n67474 100000\n33165 49941\n81738 100000\n34793 52349\n53910 80896\n86265 100000\n93266 100000\n96148 100000\n29800 44884\n60429 90663\n97680 100000\n63627 95443\n77766 100000\n78009 100000\n62054 93091\n79243 100000\n25450 38360\n41780 62830\n92742 100000\n83526 100000\n10992 16545\n69240 100000\n7811 11733\n65971 98946\n54028 81071\n52996 79558\n71492 100000\n6675 10022\n40018 60194\n13434 20235\n42368 63703\n25171 37932\n30490 45929\n33854 50972\n4697 7082\n79646 100000\n59999 90013\n41982 63133\n4284 6458\n55256 82911\n95360 100000\n68004 100000\n51468 77248\n79999 100000\n79152 100000\n12792 19262\n83210 100000\n41045 61737\n80347 100000\n55467 83234\n37770 56807\n50663 76062\n20427 30758\n13046 19648\n47479 71323\n64874 97301\n91076 100000\n45353 68156\n77257 100000\n23133 34863\n69553 100000\n13876 20896\n9249 13899\n632 947\n82643 100000\n91546 100000\n10427 15684\n70208 100000\n38485 57896\n92181 100000\n11930 17943\n70686 100000\n45606 68517\n35777 53809\n55765 83670\n53614 80458\n13729 20670\n35579 53504\n76988 100000\n90350 100000\n28436 42814\n82181 100000\n37051 55728\n90928 100000\n32673 49194\n56645 84974\n52864 79355\n97898 100000\n66831 100000\n62362 93547\n50072 75172\n27696 41706\n54852 82292\n30512 45963\n60024 90052\n73770 100000\n69360 100000\n42802 64342\n56936 85412\n90518 100000\n79892 100000\n10109 15207\n22409 33772\n3012 4556\n9286 13952\n68391 100000\n21688 32693\n92254 100000\n73269 100000\n31195 46981\n954 1425\n12302 18508\n7932 11919\n29335 44178\n13920 20963\n97227 100000\n60694 91065\n76057 100000\n33493 50425\n28608 43072\n12821 19312\n5967 8969\n12629 19002\n26764 40316\n13124 19770\n80864 100000\n8912 13388\n55909 83882\n48511 72849\n94383 100000\n36811 55364\n38014 57186\n29009 43684\n65135 97689\n18871 28431\n50847 76337\n38341 57690\n47534 71407\n35187 52937\n8741 13129\n14422 21707\n35853 53926\n56692 85050\n71612 100000\n61660 92507\n46286 69537\n60906 91381\n87439 100000\n96977 100000\n25385 38259\n81253 100000\n62861 94273\n73053 100000\n28349 42681\n35987 54120\n20797 31337\n95556 100000\n73983 100000\n68500 100000\n6927 10397\n30778 46357\n33063 49793\n95257 100000\n39463 59370\n41688 62696\n24994 37673\n73420 100000\n83225 100000\n8184 12299\n84036 100000\n89817 100000\n19569 29472\n56481 84730\n1621 2439\n90113 100000\n86704 100000\n59018 88537\n70543 100000\n36441 54811\n16106 24273\n84064 100000\n87678 100000\n38092 57310\n81689 100000\n69147 100000\n82429 100000\n63294 94932\n51013 76578\n99568 100000\n29704 44740\n10456 15730\n35661 53626\n52496 78804\n626 940\n56311 84476\n96786 100000\n90103 100000\n62090 93144\n23007 34673\n45760 68741\n33595 50578\n98237 100000\n67382 100000\n42417 63776\n6237 9366\n14111 21253\n10246 15414\n67760 100000\n49160 73816\n40005 60176\n47417 71225\n7280 10935\n74684 100000\n72094 100000\n21371 32224\n47260 70995\n89991 100000\n77532 100000\n89071 100000\n48643 73038\n36357 54685\n15513 23373\n28788 43351\n63050 94559\n61319 92005\n5072 7635\n72697 100000\n17438 26271\n78685 100000\n79985 100000\n72963 100000\n35847 53917\n65570 98351\n13799 20778\n86755 100000\n56886 85337\n7214 10838\n35268 53052\n49976 75026\n98732 100000\n98379 100000\n73075 100000\n49086 73700\n41132 61872\n45301 68080\n24128 36366\n93255 100000\n33305 50152\n47366 71152\n79807 100000\n60746 91152\n24344 36690\n6539 9816\n766 1149\n9497 14279\n74524 100000\n49706 74637\n15065 22685\n88079 100000\n72492 100000\n58014 87024\n32984 49670\n57576 86358\n83608 100000\n10408 15659\n27886 41989\n45336 68132\n53312 80031\n62285 93435\n92490 100000\n95017 100000\n70267 100000\n63616 95424\n15046 22657\n47972 72052\n78631 100000\n83694 100000\n83699 100000\n32999 49698\n7914 11892\n9160 13763\n4534 6835\n82191 100000\n61651 92494\n6877 10323\n1347 2019\n64403 96597\n38784 58346\n30570 46050\n57959 86946\n41710 62727\n45857 68886\n59788 89696\n51442 77208\n7006 10517\n46893 70436\n35822 53878\n26260 39561\n74475 100000\n65983 98966\n23921 36054\n18792 28318\n68207 100000\n80962 100000\n98445 100000\n58852 88283\n75626 100000\n12997 19577\n14526 21868\n41347 62191\n36704 55205\n23714 35745\n17378 26177\n65023 97526\n84354 100000\n4782 7210\n11210 16867\n93155 100000\n85696 100000\n93793 100000\n5710 8579\n70405 100000\n15278 23009\n28790 43354\n68525 100000\n61627 92458\n16049 24182\n25510 38451\n77870 100000\n1809 2731\n6023 9047\n93907 100000\n96174 100000\n88676 100000\n76066 100000\n63052 94562\n76149 100000\n91832 100000\n73303 100000\n89414 100000\n31928 48085\n82702 100000\n61937 92916\n92053 100000\n64987 97465\n63072 94592\n48750 73200\n17950 27043\n3866 5827\n21497 32410\n87734 100000\n552 819\n76355 100000\n11602 17458\n99843 100000\n27532 41465\n88687 100000\n42795 64332\n14419 21704\n45567 68457\n5283 7940\n58842 88268\n800 1198\n74223 100000\n85705 100000\n5025 7565\n70742 100000\n38286 57606\n92029 100000\n61625 92454\n15199 22887\n90273 100000\n95341 100000\n21682 32685\n14299 21520\n55339 83041\n7813 11736\n25137 37885\n925 1383\n80354 100000\n29137 43873\n60405 90632\n85604 100000\n3034 4589\n61572 92371\n70483 100000\n58963 88452\n10574 15899\n62728 94081\n92701 100000\n68117 100000\n63347 95011\n58634 87940\n27974 42112\n63195 94781\n877 1310\n93747 100000\n59259 88893\n20175 30383\n81181 100000\n89740 100000\n40622 61098\n5721 8596\n29847 44961\n98875 100000\n32016 48213\n16488 24834\n98709 100000\n44954 67559\n47931 71988\n51095 76698\n94068 100000\n10577 15902\n66088 99123\n43954 66064\n3693 5572\n1581 2376\n16073 24220\n13080 19703\n42605 64058\n7346 11037\n41873 62971\n55785 83699\n72302 100000\n83109 100000\n42610 64066\n21015 31673\n62675 94008\n21990 33155\n81380 100000\n87288 100000\n64903 97345\n90252 100000\n43516 65415\n90648 100000\n65794 98670\n76138 100000\n43779 65797\n678 1013\n82907 100000\n42081 63279\n44670 67135\n98974 100000\n22135 33367\n77325 100000\n66573 99853\n84712 100000\n72448 100000\n76163 100000\n48127 72269\n3628 5477\n26458 39865\n86695 100000\n92156 100000\n26511 39941\n22603 34050\n34324 51667\n90072 100000\n95853 100000\n23124 34851\n9577 14398\n78473 100000\n33696 50731\n59570 89367\n61681 92539\n592 883\n165 241\n30381 45767\n28693 43200\n20878 31461\n63503 95242\n90377 100000\n32635 49142\n55340 83042\n49573 74445\n33206 50002\n99576 100000\n70707 100000\n80929 100000\n37794 56847\n21486 32393\n81556 100000\n49073 73683\n34734 52265\n88409 100000\n79257 100000\n81139 100000\n89865 100000\n98810 100000\n35680 53659\n13677 20593\n23072 34769\n62796 94180\n17627 26562\n82276 100000\n74270 100000\n60411 90641\n26339 39679\n36123 54324\n53223 79898\n57839 86759\n63993 95985\n90059 100000\n20225 30457\n86845 100000\n88633 100000\n77287 100000\n83143 100000\n9504 14289\n98219 100000\n83377 100000\n53782 80706\n38577 58037\n53592 80428\n9136 13728\n18772 28287\n23620 35599\n53986 81010\n4210 6349\n30396 45790\n69839 100000\n41477 62385\n6484 9737\n38528 57967\n62196 93307\n30660 46183\n89302 100000\n77674 100000\n7557 11356\n19360 29161\n86366 100000\n32738 49287\n36269 54548\n14677 22097\n63196 94783\n38741 58276\n57794 86697\n58041 87067\n87307 100000\n92661 100000\n42432 63800\n99399 100000\n74450 100000\n93834 100000\n7064 10604\n94082 100000\n12670 19070\n56639 84966\n37516 56416\n4256 6416\n10404 15654\n93252 100000\n79539 100000\n51535 77355\n26788 40351\n58141 87215\n83503 100000\n40840 61423\n26824 40405\n31763 47835\n61506 92277\n9854 14815\n65349 98013\n80887 100000\n5173 7780\n23084 34788\n5196 7818\n51751 77690\n60123 90206\n1474 2217\n20852 31424\n15352 23133\n15437 23257\n48824 73310\n31128 46875\n19121 28802\n33117 49877\n11491 17294\n37497 56392\n94363 100000\n10601 15937\n46933 70498\n44137 66331\n26771 40326\n51245 76920\n44890 67466\n65254 97875\n98898 100000\n68652 100000\n68478 100000\n85434 100000\n38516 57945\n22683 34171\n18157 27352\n79535 100000\n10286 15471\n23856 35959\n62812 94206\n55822 83755\n40489 60898\n36757 55285\n37113 55817\n4800 7240\n19195 28916\n3988 6016\n3259 4932\n94085 100000\n98880 100000\n36397 54744\n9473 14241\n95494 100000\n42423 63784\n19048 28689\n32244 48560\n26335 39673\n58364 87543\n35672 53646\n22552 33981\n14894 22426\n3846 5794\n79153 100000\n45243 67994\n64950 97411\n83023 100000\n75798 100000\n33529 50477\n87168 100000\n53859 80823\n52521 78844\n44851 67409\n92926 100000\n20453 30799\n65166 97743\n6917 10379\n5404 8115\n80741 100000\n35498 53397\n53438 80212\n48569 72929\n98355 100000\n13221 19914\n29848 44963\n66544 99810\n32528 48982\n49374 74140\n72415 100000\n97106 100000\n53011 79583\n46477 69820\n32364 48744\n1962 2961\n42143 63373\n90310 100000\n15883 23934\n11750 17678\n19754 29751\n56778 85173\n73729 100000\n34739 52275\n95337 100000\n17008 25620\n97769 100000\n98762 100000\n79950 100000\n71219 100000\n49371 74136\n68907 100000\n49382 74155\n85714 100000\n38488 57901\n8987 13502\n93740 100000\n43505 65398\n76787 100000\n62240 93370\n9884 14858\n1690 2545\n7122 10693\n53698 80588\n95681 100000\n19789 29797\n7355 11051\n63903 95853\n97069 100000\n17379 26179\n10089 15177\n94520 100000\n6026 9050\n16289 24544\n19636 29573\n29344 44191\n31211 47003\n74252 100000\n5402 8111\n94154 100000\n76330 100000\n26059 39266\n2286 3460\n32956 49628\n97261 100000\n32768 49335\n7178 10785\n58601 87887\n55057 82607\n51075 76666\n61394 92115\n80607 100000\n14379 21641\n48394 72670\n82859 100000\n99826 100000\n24157 36408\n32035 48241\n5752 8638\n74611 100000\n90018 100000\n78132 100000\n7561 11362\n21920 33049\n47654 71578\n64021 96030\n42171 63411\n47060 70702\n61708 92577\n91886 100000\n54453 81701\n62350 93531\n86932 100000\n90526 100000\n22865 34448\n68245 100000\n98520 100000\n67298 100000\n79872 100000\n42476 63868\n56560 84847\n40140 60374\n86255 100000\n89453 100000\n54548 81846\n36572 55012\n95010 100000\n67475 100000\n24216 36498\n26773 40329\n98717 100000\n89480 100000\n92940 100000\n64859 97279\n78122 100000\n80562 100000\n87001 100000\n35659 53623\n10882 16367\n30133 45401\n29849 44965\n9669 14533\n27679 41683\n10280 15463\n47638 71553\n74933 100000\n57012 85529\n40668 61164\n26599 40069\n48401 72681\n85697 100000\n13470 20287\n69283 100000\n43849 65899\n50434 75712\n57729 86589\n79115 100000\n72825 100000\n42365 63699\n90767 100000\n50882 76386\n80528 100000\n42684 64175\n53989 81016\n3746 5654\n88888 100000\n5425 8145\n88964 100000\n56795 85194\n79926 100000\n36423 54783\n86195 100000\n14736 22181\n80182 100000\n15474 23312\n96929 100000\n9570 14389\n81791 100000\n32579 49062\n37276 56063\n29273 44082\n43507 65401\n23307 35124\n85610 100000\n31318 47165\n53384 80131\n17424 26247\n68028 100000\n77737 100000\n12904 19434\n37089 55782\n53554 80374\n55528 83325\n86030 100000\n72929 100000\n20178 30387\n87080 100000\n518 766\n6020 9043\n9674 14539\n38134 57373\n31852 47970\n40923 61545\n94107 100000\n87097 100000\n86781 100000\n30467 45895\n20012 30142\n24021 36212\n70319 100000\n76544 100000\n51237 76908\n53185 79842\n70720 100000\n65210 97812\n15102 22742\n40916 61534\n14389 21654\n95182 100000\n83762 100000\n32613 49110\n90484 100000\n85761 100000\n25448 38358\n56277 84428\n28831 43414\n97968 100000\n92872 100000\n54272 81427\n94498 100000\n74626 100000\n12109 18215\n22180 33433\n62930 94374\n49743 74691\n836 1252\n78496 100000\n88774 100000\n36086 54271\n98470 100000\n27804 41868\n56136 84222\n99723 100000\n52439 78721\n57330 86013\n52156 78295\n23215 34989\n4517 6809\n33897 51037\n87393 100000\n85258 100000\n51790 77747\n47322 71087\n26341 39682\n13509 20340\n68516 100000\n8056 12105\n3412 5160\n6797 10207\n2059 3110\n19841 29878\n86114 100000\n64902 97344\n33070 49805\n87733 100000\n80474 100000\n71011 100000\n88375 100000\n28284 42589\n94301 100000\n38090 57307\n39018 58698\n62965 94428\n88202 100000\n67911 100000\n58038 87061\n74072 100000\n17109 25775\n60103 90174\n70100 100000\n38276 57591\n47839 71852\n52552 78899\n64437 96648\n52840 79318\n16352 24640\n55651 83509\n60580 90890\n23823 35909\n54162 81264\n67627 100000\n76483 100000\n93471 100000\n68754 100000\n38229 57518\n57178 85777\n6890 10338\n25176 37939\n26006 39189\n82430 100000\n79800 100000\n84108 100000\n48957 73507\n64944 97402\n1228 1838\n52462 78756\n3252 4921\n12767 19223\n83424 100000\n65479 98221\n96699 100000\n61694 92556\n49572 74443\n76705 100000\n81350 100000\n4174 6298\n58678 88005\n98851 100000\n97116 100000\n85908 100000\n95505 100000\n86110 100000\n48500 72833\n33202 49996\n66929 100000\n28957 43604\n16958 25540\n64394 96583\n51016 76582\n78565 100000\n79325 100000\n18485 27860\n84802 100000\n54315 81490\n4301 6482\n58800 88205\n18861 28418\n56199 84318\n96424 100000\n99849 100000\n86537 100000\n2768 4192\n52238 78419\n4279 6449\n49364 74127\n55953 83946\n38468 57873\n25483 38408\n59106 88672\n65343 98003\n14770 22232\n92491 100000\n69932 100000\n12014 18067\n95787 100000\n51469 77250\n82711 100000\n18437 27784\n76984 100000\n39393 59270\n1542 2315\n72145 100000\n95535 100000\n3801 5731\n83435 100000\n96911 100000\n91217 100000\n42166 63403\n25025 37714\n8338 12520\n72547 100000\n86878 100000\n3407 5153\n28762 43310\n42204 63458\n38739 58273\n97768 100000\n14582 21952\n51957 77996\n34400 51775\n63619 95430\n92578 100000\n78604 100000\n8245 12383\n70149 100000\n16530 24904\n31992 48181\n41474 62381\n88071 100000\n60215 90343\n80964 100000\n67093 100000\n14131 21282\n14522 21863\n45584 68480\n37634 56596\n38529 57969\n95847 100000\n42483 63877\n19105 28777\n92568 100000\n5731 8609\n155 225\n38407 57787\n86362 100000\n10652 16017\n9317 14001\n67631 100000\n86915 100000\n55741 83637\n91041 100000\n74065 100000\n89584 100000\n77047 100000\n62261 93402\n52059 78144\n84299 100000\n42359 63688\n17984 27095\n729 1091\n72708 100000\n99709 100000\n38607 58080\n47699 71643\n15325 23084\n59370 89066\n18430 27774\n76158 100000\n83251 100000\n46067 69200\n52523 78848\n81126 100000\n93560 100000\n4895 7384\n5643 8471\n12211 18370\n97341 100000\n81397 100000\n32041 48251\n5947 8941\n37772 56811\n94092 100000\n79678 100000\n95139 100000\n89365 100000\n33820 50922\n1983 2994\n78513 100000\n43186 64918\n42002 63164\n867 1293\n73571 100000\n49965 75011\n57429 86157\n50356 75596\n98596 100000\n19463 29317\n15968 24058\n54238 81376\n9918 14912\n86527 100000\n49337 74087\n68229 100000\n39029 58715\n73704 100000\n92982 100000\n68316 100000\n73010 100000\n58647 87957\n5521 8286\n20179 30388\n75964 100000\n45100 67783\n99405 100000\n38655 58149\n35130 52848\n33784 50866\n73713 100000\n39898 60019\n81441 100000\n19652 29596\n74364 100000\n58335 87503\n67017 100000\n16391 24694\n39069 58772\n89933 100000\n30608 46109\n3954 5968\n30936 46584\n62140 93219\n10514 15809\n87558 100000\n40820 61394\n50274 75479\n82342 100000\n70129 100000\n71135 100000\n84430 100000\n99527 100000\n29980 45165\n4658 7025\n86648 100000\n25571 38539\n21124 31836\n22066 33268\n84789 100000\n81064 100000\n83035 100000\n5382 8081\n50783 76239\n99285 100000\n4640 6997\n297 430\n42676 64163\n75621 100000\n7933 11920\n17697 26668\n1098 1638\n50533 75864\n26760 40309\n51870 77870\n57745 86616\n53927 80920\n26505 39934\n91847 100000\n84387 100000\n41259 62055\n82012 100000\n48457 72759\n83819 100000\n25279 38094\n2213 3351\n97128 100000\n72452 100000\n48807 73283\n36496 54891\n23890 36011\n34082 51308\n21276 32073\n59430 89155\n93903 100000\n40659 61151\n18090 27254\n34768 52314\n65781 98653\n99489 100000\n64304 96444\n13230 19928\n84956 100000\n7327 11007\n86504 100000\n18095 27262\n45729 68696\n77442 100000\n99772 100000\n9077 13639\n12422 18686\n55131 82722\n70196 100000\n2808 4259\n10196 15339\n24901 37544\n38106 57331\n76601 100000\n70486 100000\n81420 100000\n69088 100000\n93388 100000\n46404 69713\n31085 46808\n22972 34615\n64826 97230\n45733 68702\n6142 9223\n12638 19016\n57932 86905\n38007 57172\n44802 67341\n10115 15216\n12698 19114\n90629 100000\n80618 100000\n72502 100000\n48012 72111\n60950 91443\n75463 100000\n43825 65868\n58318 87473\n1834 2767\n4729 7130\n64293 96429\n57487 86233\n67804 100000\n43630 65586\n64594 96883\n47236 70960\n6168 9260\n54268 81420\n4961 7477\n2166 3279\n80034 100000\n45160 67872\n57765 86649\n93893 100000\n95259 100000\n16188 24393\n46565 69951\n73510 100000\n35115 52830\n71481 100000\n44844 67400\n25198 37973\n23055 34743\n5918 8899\n2934 4442\n7403 11123\n25118 37860\n87520 100000\n84110 100000\n26623 40106\n61642 92480\n72451 100000\n78511 100000\n96723 100000\n50026 75101\n61323 92010\n37346 56162\n18206 27434\n88956 100000\n44171 66382\n44640 67090\n16821 25326\n33100 49854\n48031 72139\n10066 15145\n44490 66861\n1767 2665\n13436 20237\n22749 34272\n1511 2266\n95159 100000\n74034 100000\n51877 77880\n78575 100000\n74101 100000\n44894 67471\n69751 100000\n31831 47938\n32497 48937\n14809 22294\n53296 80007\n69534 100000\n47153 70842\n28006 42155\n10043 15109\n40221 60489\n49556 74418\n77125 100000\n5065 7624\n87280 100000\n44548 66950\n7377 11084\n90325 100000\n57517 86278\n9365 14072\n28549 42980\n65773 98642\n73071 100000\n27635 41612\n45409 68237\n86919 100000\n88556 100000\n98658 100000\n48145 72297\n30322 45682\n48095 72229\n80572 100000\n75925 100000\n64063 96086\n84922 100000\n96326 100000\n55228 82867\n19688 29652\n8744 13133\n52660 79051\n43060 64731\n51194 76844\n97357 100000\n93075 100000\n25925 39082\n54275 81432\n93756 100000\n88928 100000\n93912 100000\n18837 28387\n35812 53863\n22682 34170\n11251 16927\n23353 35192\n4767 7189\n37476 56362\n18509 27897\n75670 100000\n53050 79640\n10860 16332\n14884 22411\n28243 42525\n93525 100000\n52309 78526\n32356 48731\n58739 88108\n82189 100000\n45663 68601\n20656 31112\n30420 45825\n44895 67472\n74393 100000\n77849 100000\n24481 36891\n58544 87802\n85821 100000\n2942 4452\n85019 100000\n55307 82992\n79367 100000\n31699 47742\n59081 88632\n21426 32301\n98766 100000\n13086 19712\n72769 100000\n86238 100000\n31069 46783\n57630 86439\n9196 13816\n64939 97394\n60850 91300\n25851 38971\n85617 100000\n27933 42057\n3245 4911\n69272 100000\n40225 60496\n14418 21702\n77460 100000\n93455 100000\n81925 100000\n73348 100000\n11639 17512\n88913 100000\n66518 99772\n46186 69378\n53401 80158\n55518 83311\n20342 30628\n58437 87644\n4447 6704\n95390 100000\n56582 84881\n94402 100000\n45199 67931\n52891 79400\n2118 3205\n17220 25952\n38063 57263\n25764 38842\n21672 32672\n4849 7312\n3770 5691\n59244 88871\n83861 100000\n24507 36930\n21105 31807\n88164 100000\n39516 59450\n22555 33984\n83049 100000\n26965 40620\n16345 24630\n32865 49481\n29267 44073\n97263 100000\n6164 9254\n88469 100000\n43563 65487\n29733 44786\n20563 30967\n25280 38096\n45491 68353\n66146 99216\n46306 69569\n81319 100000\n59655 89491\n57919 86884\n70695 100000\n8824 13257\n57191 85796\n79455 100000\n36320 54628\n20714 31208\n1232 1845\n97664 100000\n32840 49445\n65568 98349\n45350 68153\n72265 100000\n36734 55247\n88127 100000\n942 1406\n7204 10824\n9761 14671\n40633 61113\n91462 100000\n87998 100000\n52715 79133\n49934 74969\n99189 100000\n93026 100000\n66412 99613\n86431 100000\n81258 100000\n12770 19227\n87265 100000\n95091 100000\n95190 100000\n96837 100000\n81705 100000\n73920 100000\n12920 19459\n17027 25648\n30829 46426\n97641 100000\n65060 97575\n90459 100000\n62536 93799\n6559 9844\n83555 100000\n98151 100000\n48067 72191\n66949 100000\n50116 75243\n67897 100000\n91338 100000\n15304 23049\n66648 99958\n56888 85341\n20263 30510\n9373 14085\n63745 95618\n7948 11943\n52204 78371\n61159 91762\n52171 78318\n10614 15956\n63675 95517\n44061 66219\n14577 21944\n40220 60488\n47650 71573\n12384 18628\n9993 15031\n57701 86545\n50947 76483\n76969 100000\n80040 100000\n51695 77601\n7035 10559\n59382 89084\n27883 41984\n92196 100000\n23730 35768\n17208 25933\n77721 100000\n9040 13583\n74834 100000\n72161 100000\n79702 100000\n94480 100000\n76752 100000\n34977 52616\n4722 7120\n19753 29750\n2979 4506\n61367 92073\n91519 100000\n35558 53475\n79828 100000\n66476 99708\n78086 100000\n69658 100000\n81753 100000\n9453 14211\n93848 100000\n74195 100000\n84060 100000\n22389 33739\n59417 89137\n14920 22469\n55216 82851\n96325 100000\n65249 97867\n49967 75013\n63791 95689\n69020 100000\n4109 6200\n11098 16704\n13607 20487\n57192 85797\n86178 100000\n32722 49261\n51610 77468\n72568 100000\n82975 100000\n40420 60794\n70950 100000\n62737 94095\n81193 100000\n77455 100000\n34777 52326\n48122 72262\n64270 96393\n78398 100000\n37031 55698\n24198 36471\n16036 24164\n70291 100000\n48143 72294\n72083 100000\n67580 100000\n94307 100000\n26723 40254\n58907 88364\n11843 17818\n11716 17631\n8005 12025\n21045 31713\n29114 43841\n47495 71348\n83516 100000\n74982 100000\n14947 22509\n58974 88472\n98142 100000\n14210 21393\n48677 73089\n51759 77701\n81329 100000\n54392 81605\n42625 64087\n50891 76401\n13466 20281\n80860 100000\n13285 20011\n57496 86246\n62922 94363\n86500 100000\n13438 20239\n8381 12580\n75629 100000\n70907 100000\n75003 100000\n14396 21667\n94704 100000\n6729 10100\n83144 100000\n77409 100000\n65431 98144\n79045 100000\n63940 95906\n50755 76197\n7030 10552\n58608 87899\n40705 61222\n45225 67967\n28937 43573\n53470 80254\n96859 100000\n46644 70067\n24284 36601\n99294 100000\n26205 39480\n21729 32749\n17899 26965\n64583 96867\n95246 100000\n83405 100000\n62216 93336\n15697 23654\n34152 51408\n72054 100000\n81046 100000\n42804 64345\n30230 45549\n46607 70014\n96630 100000\n79128 100000\n61936 92915\n92072 100000\n76540 100000\n13333 20083\n30212 45523\n37342 56156\n81514 100000\n95023 100000\n12069 18152\n57184 85785\n28663 43153\n75276 100000\n70096 100000\n91874 100000\n34375 51738\n55030 82564\n10127 15235\n44654 67115\n20727 31229\n32326 48687\n58913 88374\n31005 46688\n67402 100000\n30810 46402\n59438 89167\n47535 71408\n59356 89043\n63510 95251\n44886 67460\n57325 86006\n69121 100000\n92695 100000\n77286 100000\n98949 100000\n67552 100000\n80086 100000\n90099 100000\n26833 40421\n73005 100000\n75710 100000\n7872 11828\n80356 100000\n58078 87119\n40994 61657\n99134 100000\n53570 80395\n80914 100000\n84818 100000\n9639 14489\n2143 3243\n69287 100000\n92703 100000\n29426 44310\n76282 100000\n98704 100000\n70340 100000\n16576 24964\n79695 100000\n11562 17402\n67217 100000\n38517 57947\n5802 8713\n86801 100000\n52949 79487\n15245 22957\n98051 100000\n3187 4819\n35665 53632\n30399 45793\n79584 100000\n66300 99450\n7465 11223\n68134 100000\n99143 100000\n11480 17280\n2374 3590\n360 523\n68194 100000\n22650 34120\n55270 82935\n15846 23883\n96482 100000\n68919 100000\n66211 99312\n47842 71857\n39526 59463\n20695 31176\n3743 5649\n26935 40576\n35790 53831\n67834 100000\n51453 77227\n20220 30449\n84379 100000\n6158 9246\n18715 28208\n30275 45613\n38479 57887\n77686 100000\n52467 78763\n9114 13695\n18303 27582\n1493 2242\n16179 24380\n45054 67709\n71106 100000\n79092 100000\n47989 72077\n7272 10922\n97683 100000\n69744 100000\n44803 67342\n98440 100000\n71412 100000\n54001 81030\n11647 17526\n86482 100000\n62950 94405\n69613 100000\n6571 9862\n33401 50285\n49412 74197\n99856 100000\n15433 23251\n53969 80984\n32203 48502\n18351 27656\n94071 100000\n41448 62340\n90694 100000\n99322 100000\n75478 100000\n98526 100000\n54904 82375\n88569 100000\n74824 100000\n94229 100000\n171 249\n70046 100000\n56790 85188\n84803 100000\n22736 34254\n85600 100000\n63816 95728\n39306 59135\n59087 88643\n9730 14627\n90063 100000\n14567 21930\n43957 66067\n18214 27446\n84946 100000\n69592 100000\n71205 100000\n22969 34610\n45138 67838\n8048 12090\n82196 100000\n66783 100000\n60822 91260\n89208 100000\n12307 18514\n51202 76858\n70562 100000\n73194 100000\n55782 83694\n2298 3479\n3146 4758\n83521 100000\n90236 100000\n17522 26397\n62185 93291\n77173 100000\n80806 100000\n82171 100000\n77542 100000\n80292 100000\n72598 100000\n25348 38200\n69162 100000\n99227 100000\n69173 100000\n78641 100000\n84501 100000\n50708 76128\n65370 98047\n1975 2979\n60780 91206\n15778 23768\n22587 34027\n95915 100000\n61471 92228\n27978 42117\n70881 100000\n98313 100000\n91819 100000\n72192 100000\n75125 100000\n62839 94243\n23528 35463\n39957 60101\n24362 36717\n3499 5287\n81759 100000\n39421 59309\n8055 12103\n12362 18595\n71640 100000\n27967 42101\n26213 39490\n84433 100000\n21936 33073\n91491 100000\n1567 2352\n90332 100000\n64011 96012\n37374 56207\n23598 35571\n7541 11332\n2564 3880\n3526 5325\n55087 82650\n95049 100000\n54811 82232\n51333 77044\n32702 49235\n36074 54252\n26122 39361\n11182 16823\n38148 57396\n86098 100000\n18614 28058\n50431 75707\n82921 100000\n59059 88599\n20129 30314\n99930 100000\n76311 100000\n7735 11623\n68620 100000\n35416 53278\n91403 100000\n95665 100000\n50050 75138\n9102 13674\n63812 95721\n43783 65803\n30196 45496\n49222 73915\n9795 14725\n24097 36322\n53858 80821\n36288 54580\n43918 66004\n29603 44585\n46397 69704\n31808 47903\n37884 56986\n90737 100000\n40034 60221\n16248 24487\n51081 76676\n23958 36107\n98980 100000\n37134 55850\n27165 40913\n36516 54921\n1317 1973\n20986 31624\n83602 100000\n74607 100000\n51719 77637\n95483 100000\n32780 49355\n68079 100000\n24303 36630\n31236 47042\n85348 100000\n95612 100000\n33150 49923\n99252 100000\n12850 19346\n62267 93409\n70197 100000\n6478 9729\n78715 100000\n74519 100000\n90538 100000\n57120 85689\n83181 100000\n2239 3389\n32757 49316\n16928 25499\n97573 100000\n44659 67122\n53061 79657\n40956 61595\n72746 100000\n11518 17334\n68831 100000\n53580 80410\n94975 100000\n76083 100000\n90323 100000\n94466 100000\n4772 7196\n98977 100000\n23451 35339\n33258 50082\n58682 88012\n23136 34867\n9666 14529\n97074 100000\n79642 100000\n64711 97055\n48701 73126\n56822 85239\n35580 53505\n71822 100000\n4524 6819\n96732 100000\n42249 63523\n81710 100000\n83654 100000\n54304 81474\n3523 5320\n86497 100000\n27566 41511\n54832 82263\n38042 57232\n74483 100000\n75314 100000\n77155 100000\n3783 5708\n1158 1727\n90097 100000\n23224 35001\n68131 100000\n47051 70689\n41254 62048\n39654 59660\n82353 100000\n56183 84294\n4188 6317\n19453 29299\n35424 53289\n75291 100000\n70178 100000\n80996 100000\n58098 87153\n82584 100000\n99207 100000\n5757 8644\n343 498\n81836 100000\n13175 19847\n13612 20494\n33122 49883\n61783 92686\n39672 59685\n41784 62836\n33742 50802\n28296 42609\n66520 99775\n15594 23492\n16085 24237\n53623 80471\n71806 100000\n82896 100000\n75709 100000\n12842 19336\n41131 61871\n72129 100000\n92107 100000\n80147 100000\n43483 65362\n753 1131\n36420 54779\n40010 60183\n41921 63042\n7015 10529\n79029 100000\n90373 100000\n66796 100000\n68821 100000\n40743 61280\n41725 62747\n8050 12094\n41694 62704\n2868 4345\n1045 1560\n21590 32546\n26129 39371\n38574 58034\n86388 100000\n11063 16649\n31861 47985\n64400 96592\n19455 29301\n19322 29112\n64525 96780\n2426 3665\n25238 38035\n31253 47064\n15488 23335\n144 209\n58712 88060\n31834 47944\n73395 100000\n45976 69068\n44536 66933\n94009 100000\n28040 42211\n67715 100000\n81491 100000\n70050 100000\n64324 96475\n49919 74947\n95840 100000\n28015 42170\n10449 15718\n14102 21237\n76891 100000\n15413 23224\n36304 54603\n23572 35530\n84495 100000\n26239 39532\n51703 77614\n61653 92496\n59195 88801\n84815 100000\n51256 76935\n62349 93529\n41795 62851\n75425 100000\n49790 74760\n67566 100000\n8518 12789\n48339 72589\n57842 86763\n46008 69113\n63618 95428\n78306 100000\n94040 100000\n19538 29429\n93149 100000\n39438 59332\n77451 100000\n83265 100000\n25563 38528\n12002 18049\n26115 39351\n43302 65099\n32532 48989\n60125 90209\n52093 78194\n93146 100000\n78920 100000\n52555 78903\n27546 41484\n10019 15073\n55038 82574\n5729 8606\n45441 68279\n16156 24347\n73850 100000\n56584 84884\n3744 5650\n36198 54436\n92654 100000\n3039 4596\n17866 26913\n12990 19566\n80749 100000\n90942 100000\n89026 100000\n85878 100000\n5199 7821\n48818 73302\n79143 100000\n10289 15475\n64390 96578\n57674 86502\n1666 2508\n56091 84155\n57564 86342\n8547 12832\n73980 100000\n53183 79839\n12145 18275\n53732 80637\n46458 69793\n99705 100000\n64969 97440\n32476 48905\n96704 100000\n57287 85946\n97775 100000\n71152 100000\n92398 100000\n23484 35391\n70805 100000\n55056 82605\n36872 55455\n28820 43398\n14049 21159\n91158 100000\n97682 100000\n79436 100000\n17755 26752\n43857 65909\n70806 100000\n79060 100000\n82866 100000\n22978 34627\n5728 8605\n85615 100000\n26598 40068\n76917 100000\n74742 100000\n14406 21682\n31273 47097\n6358 9547\n98591 100000\n7257 10898\n69657 100000\n70034 100000\n20424 30754\n46278 69524\n18677 28152\n82368 100000\n96990 100000\n37423 56281\n74856 100000\n18324 27615\n52387 78643\n92052 100000\n33601 50587\n8094 12160\n43611 65557\n90077 100000\n86493 100000\n99108 100000\n13733 20676\n23438 35320\n42653 64131\n48285 72508\n48212 72400\n38455 57857\n5635 8459\n97974 100000\n57764 86648\n7996 12010\n64221 96322\n83512 100000\n95155 100000\n22024 33205\n72907 100000\n53824 80770\n26671 40180\n16659 25091\n35692 53680\n54369 81574\n75255 100000\n86505 100000\n62824 94225\n10538 15843\n96657 100000\n94614 100000\n78390 100000\n14555 21912\n47005 70614\n83442 100000\n97748 100000\n52831 79306\n79281 100000\n64484 96715\n91069 100000\n85191 100000\n62245 93376\n86392 100000\n9665 14528\n33728 50781\n77932 100000\n95548 100000\n49662 74575\n30842 46446\n70683 100000\n28486 42889\n3931 5930\n2658 4017\n44753 67267\n6368 9560\n32096 48337\n47848 71866\n58588 87868\n79421 100000\n43061 64732\n3879 5848\n29287 44104\n49987 75042\n16588 24982\n78058 100000\n23806 35886\n92524 100000\n9155 13755\n25129 37874\n41300 62123\n46968 70557\n42948 64562\n10531 15834\n36110 54305\n67791 100000\n21702 32710\n94553 100000\n54864 82311\n7390 11106\n7690 11554\n38271 57585\n5111 7689\n58669 87991\n99569 100000\n8630 12956\n63679 95522\n33461 50377\n39726 59763\n48411 72694\n75536 100000\n1007 1504\n63042 94545\n70940 100000\n28682 43185\n50580 75933\n63106 94643\n51835 77819\n7140 10722\n33472 50392\n12974 19541\n19286 29056\n41397 62267\n78547 100000\n45264 68025\n61517 92291\n33809 50904\n66099 99140\n94125 100000\n48003 72096\n12886 19407\n57304 85974\n37800 56856\n10570 15893\n72884 100000\n56737 85119\n2750 4162\n65087 97618\n76950 100000\n98694 100000\n10423 15679\n34964 52597\n91242 100000\n14780 22249\n3850 5801\n26777 40333\n8639 12971\n97210 100000\n68517 100000\n49872 74879\n35456 53337\n59498 89259\n61312 91994\n988 1478\n36025 54177\n59170 88763\n37238 56007\n66384 99571\n32154 48425\n34910 52520\n87166 100000\n71932 100000\n25337 38183\n41867 62962\n31597 47587\n67344 100000\n95136 100000\n40043 60233\n78515 100000\n6581 9876\n12036 18100\n69095 100000\n19448 29290\n5426 8147\n63882 95824\n70982 100000\n92819 100000\n78574 100000\n66693 100000\n94621 100000\n44568 66978\n24217 36499\n73600 100000\n81575 100000\n13996 21073\n87137 100000\n49138 73780\n94873 100000\n29427 44311\n24536 36969\n95716 100000\n22739 34258\n40153 60393\n16484 24828\n81382 100000\n36792 55337\n31769 47845\n37726 56736\n17293 26058\n51520 77329\n7797 11712\n59920 89900\n54205 81329\n44276 66541\n21163 31899\n50632 76016\n64409 96607\n87581 100000\n22138 33371\n47489 71337\n556 825\n10336 15546\n56951 85436\n72554 100000\n23344 35180\n56927 85401\n80380 100000\n60271 90425\n23913 36044\n79846 100000\n34899 52503\n62490 93733\n25465 38385\n13831 20826\n4143 6251\n79177 100000\n65342 98001\n54660 82005\n37886 56990\n48903 73423\n90190 100000\n67157 100000\n61217 91849\n87316 100000\n98668 100000\n90206 100000\n37400 56245\n60407 90635\n25255 38061\n21020 31680\n46695 70143\n38058 57254\n82384 100000\n4483 6758\n89229 100000\n71643 100000\n1267 1899\n34979 52619\n10428 15686\n79072 100000\n10864 16338\n47917 71968\n51787 77742\n16143 24330\n60864 91318\n35859 53936\n54986 82498\n50191 75358\n20229 30462\n6958 10446\n77817 100000\n80468 100000\n60469 90724\n53697 80586\n62386 93579\n52179 78332\n68115 100000\n72108 100000\n69779 100000\n90037 100000\n39200 58973\n60382 90593\n9344 14042\n97697 100000\n49762 74718\n84840 100000\n54125 81203\n2806 4257\n8128 12209\n68265 100000\n12413 18671\n60278 90436\n45228 67973\n75514 100000\n15771 23756\n93794 100000\n87777 100000\n38291 57616\n66026 99027\n96647 100000\n9038 13580\n95788 100000\n30882 46503\n89191 100000\n85297 100000\n24835 37445\n33763 50833\n47957 72028\n79073 100000\n84276 100000\n61898 92863\n79910 100000\n38435 57828\n26838 40429\n60388 90603\n79523 100000\n36848 55418\n65413 98113\n92263 100000\n3144 4756\n49357 74118\n93953 100000\n36167 54393\n67907 100000\n61445 92189\n69948 100000\n54772 82171\n74654 100000\n97944 100000\n45697 68651\n72497 100000\n42315 63622\n80506 100000\n90374 100000\n79361 100000\n8463 12703\n21905 33027\n58371 87552\n43101 64793\n69458 100000\n37057 55737\n60365 90567\n89145 100000\n70880 100000\n80289 100000\n9364 14071\n35431 53299\n69889 100000\n18174 27382\n35156 52888\n31869 47999\n89872 100000\n54040 81085\n49402 74182\n25931 39091\n41294 62115\n77938 100000\n90440 100000\n98147 100000\n14627 22021\n60431 90665\n67324 100000\n11533 17360\n11048 16625\n38797 58368\n81851 100000\n71395 100000\n45333 68128\n62172 93270\n85987 100000\n12665 19060\n26747 40291\n92986 100000\n34631 52113\n62378 93569\n79721 100000\n98865 100000\n96790 100000\n64749 97113\n44540 66938\n34320 51661\n99476 100000\n75256 100000\n97180 100000\n24100 36327\n28007 42156\n44522 66913\n59365 89059\n40736 61269\n17602 26524\n49843 74834\n80126 100000\n68318 100000\n81011 100000\n71996 100000\n88229 100000\n42491 63888\n25261 38071\n15516 23377\n21664 32660\n76664 100000\n32769 49336\n47657 71582\n32343 48710\n50601 75968\n17 23\n34104 51341\n43881 65946\n70846 100000\n38480 57889\n54178 81286\n81215 100000\n59669 89511\n1714 2583\n18540 27946\n72499 100000\n4938 7444\n5405 8116\n78893 100000\n55934 83917\n95532 100000\n83369 100000\n37485 56374\n91607 100000\n48528 72874\n22243 33528\n67065 100000\n71585 100000\n61771 92670\n68740 100000\n348 504\n85162 100000\n41807 62870\n75603 100000\n39035 58723\n99317 100000\n34563 52011\n67519 100000\n49959 75003\n11512 17325\n20987 31626\n84919 100000\n75597 100000\n59136 88715\n81740 100000\n18761 28272\n71807 100000\n49531 74381\n32145 48411\n16089 24245\n78769 100000\n23756 35807\n34698 52214\n32700 49232\n77806 100000\n65929 98881\n84569 100000\n39248 59043\n95414 100000\n93895 100000\n97755 100000\n63012 94495\n57776 86667\n38869 58479\n1037 1549\n81286 100000\n42921 64523\n96950 100000\n94302 100000\n54390 81603\n87161 100000\n69039 100000\n2001 3022\n47894 71937\n40401 60765\n84477 100000\n28992 43656\n29041 43733\n46128 69293\n27819 41890\n41943 63074\n27199 40965\n16431 24751\n15819 23837\n37767 56803\n91785 100000\n9951 14964\n10591 15924\n9028 13567\n54185 81298\n22306 33622\n36090 54278\n81854 100000\n53806 80747\n86267 100000\n98647 100000\n67822 100000\n76925 100000\n44855 67415\n47738 71698\n62359 93544\n33386 50265\n38494 57911\n85570 100000\n96317 100000\n82732 100000\n70217 100000\n73388 100000\n86221 100000\n31357 47226\n64419 96623\n3521 5317\n27857 41943\n22038 33224\n19246 28991\n57060 85599\n13299 20032\n73781 100000\n17849 26888\n98895 100000\n27795 41853\n57668 86493\n53277 79977\n21752 32786\n16994 25599\n71891 100000\n71551 100000\n27153 40893\n11055 16635\n96225 100000\n7892 11859\n16724 25187\n84527 100000\n17295 26061\n82093 100000\n30598 46094\n9700 14579\n48433 72727\n98894 100000\n26854 40454\n26501 39930\n30166 45451\n63667 95505\n44554 66959\n21877 32982\n77007 100000\n56240 84377\n27960 42093\n29618 44610\n34373 51735\n44286 66555\n47165 70858\n87078 100000\n2195 3325\n48534 72883\n13588 20456\n25837 38952\n51391 77132\n13663 20571\n23435 35315\n21431 32307\n58422 87622\n75041 100000\n92812 100000\n8548 12833\n15203 22893\n33971 51146\n99696 100000\n12015 18069\n97986 100000\n48898 73415\n23095 34806\n89678 100000\n14330 21564\n31410 47307\n79963 100000\n73583 100000\n40821 61395\n58679 88007\n69991 100000\n21119 31828\n21074 31761\n77995 100000\n33162 49938\n60145 90241\n95186 100000\n7629 11463\n2137 3234\n62615 93915\n77596 100000\n26146 39398\n61260 91913\n16355 24643\n12440 18710\n52633 79014\n40559 61005\n55520 83314\n44133 66325\n99832 100000\n91223 100000\n29953 45122\n25298 38125\n98012 100000\n69308 100000\n49700 74626\n19764 29763\n52082 78180\n79675 100000\n41846 62929\n82185 100000\n14361 21612\n85758 100000\n69866 100000\n5979 8985\n76611 100000\n1711 2578\n72078 100000\n64054 96074\n34314 51652\n72782 100000\n48316 72553\n60305 90476\n2014 3043\n17226 25960\n39839 59933\n9171 13779\n80460 100000\n83624 100000\n84443 100000\n92217 100000\n37769 56805\n64176 96255\n1867 2817\n3356 5077\n71080 100000\n27678 41681\n2897 4394\n92170 100000\n40442 60825\n12726 19155\n13670 20583\n94998 100000\n57425 86152\n85578 100000\n6395 9601\n21950 33096\n55573 83394\n79329 100000\n43096 64786\n7009 10521\n89790 100000\n92652 100000\n5383 8083\n83052 100000\n88508 100000\n19481 29344\n19310 29092\n4615 6959\n58442 87652\n24194 36465\n93933 100000\n98010 100000\n72035 100000\n16927 25497\n68192 100000\n83382 100000\n6701 10058\n8423 12640\n68626 100000\n2567 3885\n83430 100000\n18984 28595\n90795 100000\n29472 44381\n8069 12124\n25532 38483\n14653 22062\n93846 100000\n3857 5812\n72597 100000\n97674 100000\n2348 3548\n45208 67945\n85613 100000\n46112 69268\n27509 41428\n29005 43677\n68881 100000\n66684 100000\n51254 76932\n11780 17725\n95944 100000\n43812 65847\n2605 3939\n76704 100000\n83220 100000\n16981 25578\n33093 49842\n55035 82571\n7500 11276\n66812 100000\n199 287\n29482 44398\n96627 100000\n9878 14848\n88629 100000\n69828 100000\n19421 29250\n27946 42075\n16787 25280\n35471 53360\n648 971\n64185 96268\n37759 56791\n21737 32760\n93161 100000\n64765 97138\n55289 82963\n39596 59569\n13927 20973\n89968 100000\n34904 52511\n19818 29838\n16108 24277\n32574 49056\n55203 82831\n96864 100000\n53644 80505\n20933 31541\n9801 14736\n75680 100000\n9755 14663\n34183 51456\n96480 100000\n95646 100000\n46532 69902\n39135 58878\n10242 15409\n33917 51068\n27166 40915\n23530 35465\n62982 94452\n17455 26297\n60799 91231\n35935 54046\n76582 100000\n98903 100000\n63496 95233\n13772 20739\n97272 100000\n21236 32007\n76092 100000\n41054 61749\n98230 100000\n99800 100000\n80027 100000\n2271 3440\n58007 87016\n66746 100000\n6366 9557\n43263 65038\n77370 100000\n74079 100000\n7514 11292\n20916 31517\n75097 100000\n89464 100000\n48956 73506\n60702 91079\n72886 100000\n90504 100000\n38202 57478\n50324 75553\n21357 32203\n80629 100000\n11709 17621\n33830 50935\n92626 100000\n12512 18824\n75794 100000\n74602 100000\n64056 96077\n19491 29359\n96051 100000\n71049 100000\n31119 46862\n41978 63127\n88476 100000\n75622 100000\n32014 48210\n95022 100000\n27782 41836\n32433 48835\n94462 100000\n73826 100000\n40695 61204\n35309 53115\n2 4\n38718 58240\n15827 23851\n96298 100000\n92084 100000\n22035 33218\n71791 100000\n71386 100000\n85448 100000\n83669 100000\n86490 100000\n47635 71549\n16206 24418\n14661 22072\n60726 91118\n1810 2733\n40539 60976\n32141 48405\n7705 11575\n42124 63342\n42576 64012\n59146 88727\n12915 19450\n89338 100000\n10899 16396\n71675 100000\n97025 100000\n32902 49542\n87257 100000\n68302 100000\n59117 88687\n56445 84676\n24479 36888\n81285 100000\n45236 67986\n5704 8569\n56434 84661\n49963 75009\n73894 100000\n24894 37532\n13703 20633\n97073 100000\n70865 100000\n85974 100000\n61954 92940\n37910 57025\n56226 84360\n65241 97855\n80136 100000\n38104 57329\n19725 29711\n69893 100000\n6982 10481\n80739 100000\n72414 100000\n42866 64439\n54183 81294\n2982 4512\n30916 46555\n51409 77160\n49798 74773\n35175 52919\n66622 99925\n70527 100000\n12203 18360\n7508 11285\n9272 13934\n113 166\n50042 75124\n98907 100000\n89919 100000\n28926 43557\n12309 18518\n18504 27889\n44867 67433\n42823 64372\n13828 20821\n34699 52215\n42000 63161\n54800 82216\n13277 19999\n30620 46124\n35155 52887\n9006 13531\n64104 96150\n37546 56465\n3336 5046\n34172 51440\n282 406\n96938 100000\n50450 75737\n7752 11648\n62435 93653\n20496 30867\n93521 100000\n94109 100000\n62468 93701\n8317 12490\n21077 31767\n80365 100000\n82771 100000\n4752 7168\n26387 39754\n84587 100000\n21336 32168\n30685 46222\n7418 11146\n59481 89236\n94088 100000\n12493 18793\n67931 100000\n42873 64450\n37535 56447\n10568 15889\n94461 100000\n96589 100000\n54112 81183\n97475 100000\n15633 23553\n34844 52425\n23493 35405\n11961 17990\n59185 88785\n45361 68168\n48929 73463\n58250 87374\n76381 100000\n6069 9112\n62899 94330\n55076 82635\n7414 11140\n58116 87179\n21168 31905\n72537 100000\n70567 100000\n66597 99888\n52710 79124\n34137 51387\n98199 100000\n88386 100000\n90233 100000\n47210 70924\n3671 5540\n66862 100000\n87234 100000\n46895 70439\n84089 100000\n63868 95804\n40960 61602\n71834 100000\n50106 75226\n82405 100000\n11362 17099\n1661 2500\n54083 81146\n86010 100000\n4258 6418\n97932 100000\n79390 100000\n38499 57919\n72402 100000\n64402 96596\n9093 13662\n4463 6728\n8432 12654\n84486 100000\n30907 46539\n51038 76614\n54933 82419\n970 1449\n76247 100000\n71266 100000\n53329 80054\n64276 96403\n13868 20882\n38603 58074\n34575 52029\n82580 100000\n99059 100000\n55366 83085\n42031 63205\n45692 68644\n78467 100000\n20771 31295\n2834 4298\n5688 8541\n11468 17261\n15158 22827\n60214 90341\n67571 100000\n93363 100000\n58694 88030\n10430 15689\n67945 100000\n49083 73696\n50144 75288\n76090 100000\n59936 89921\n9569 14388\n71548 100000\n14494 21819\n53198 79863\n26791 40355\n11875 17865\n76338 100000\n28866 43465\n50016 75085\n61500 92269\n11204 16858\n77336 100000\n78535 100000\n94142 100000\n49559 74424\n18835 28383\n77813 100000\n11311 17025\n10004 15049\n38079 57288\n95712 100000\n43357 65180\n30056 45278\n60378 90587\n1517 2275\n72183 100000\n56532 84809\n73593 100000\n5102 7677\n22144 33381\n80039 100000\n17013 25628\n75205 100000\n81309 100000\n92844 100000\n83797 100000\n24798 37384\n9841 14793\n46646 70070\n80750 100000\n4075 6149\n4268 6431\n69886 100000\n15586 23481\n27860 41948\n20040 30183\n20547 30941\n80548 100000\n29323 44159\n1211 1812\n55298 82978\n44261 66517\n37891 56997\n72247 100000\n38895 58515\n49368 74133\n97394 100000\n17750 26747\n41194 61969\n60728 91122\n74210 100000\n88771 100000\n58661 87979\n79768 100000\n22431 33804\n22088 33300\n95950 100000\n46693 70140\n56132 84217\n50750 76190\n47376 71168\n60483 90747\n34052 51260\n86416 100000\n72563 100000\n19761 29760\n49602 74492\n78833 100000\n89486 100000\n34657 52155\n72924 100000\n93338 100000\n72559 100000\n60221 90352\n88203 100000\n68153 100000\n42344 63666\n8112 12185\n8653 12992\n99168 100000\n59727 89600\n28066 42256\n92444 100000\n78790 100000\n90537 100000\n84199 100000\n29387 44253\n37743 56766\n82757 100000\n94658 100000\n90691 100000\n69797 100000\n74936 100000\n23808 35889\n81857 100000\n68296 100000\n7172 10776\n57758 86638\n9957 14974\n99606 100000\n3023 4572\n62620 93922\n75084 100000\n96475 100000\n21862 32957\n51945 77976\n45615 68534\n7060 10599\n25630 38638\n41252 62046\n33234 50046\n8619 12941\n69159 100000\n26621 40103\n16201 24411\n4971 7489\n10896 16391\n15532 23400\n27666 41664\n93777 100000\n91780 100000\n13793 20770\n42455 63837\n30131 45398\n41499 62414\n2490 3768\n94506 100000\n45282 68051\n72356 100000\n67171 100000\n7987 11999\n72640 100000\n65086 97617\n67935 100000\n95497 100000\n27033 40717\n8721 13097\n46382 69681\n9046 13591\n93709 100000\n11284 16981\n14198 21374\n78540 100000\n81404 100000\n433 640\n88031 100000\n95973 100000\n97733 100000\n37489 56379\n98560 100000\n95498 100000\n37986 57141\n18301 27580\n27370 41217\n81625 100000\n58933 88406\n38293 57618\n89224 100000\n74980 100000\n76669 100000\n84338 100000\n20874 31456\n37796 56849\n57710 86562\n24949 37609\n71615 100000\n65599 98395\n57722 86580\n10021 15076\n43653 65618\n38791 58357\n90433 100000\n74619 100000\n12441 18711\n13349 20108\n3895 5874\n52196 78358\n59892 89856\n32299 48645\n55701 83582\n659 988\n23301 35114\n77334 100000\n18647 28109\n21988 33152\n33625 50626\n66429 99640\n60959 91459\n92167 100000\n17375 26174\n72796 100000\n7233 10866\n20862 31439\n27163 40910\n77994 100000\n10710 16111\n83118 100000\n72185 100000\n54615 81941\n30202 45506\n29531 44472\n70165 100000\n63652 95481\n50438 75719\n36676 55166\n71772 100000\n6224 9350\n93550 100000\n11450 17235\n45510 68380\n95869 100000\n88412 100000\n51831 77813\n53678 80556\n88310 100000\n44093 66263\n42995 64629\n68109 100000\n11813 17774\n29339 44185\n83002 100000\n15493 23342\n76150 100000\n67377 100000\n38963 58615\n20707 31196\n29307 44136\n35177 52923\n56810 85219\n35893 53982\n99087 100000\n74515 100000\n49512 74352\n57590 86379\n51823 77802\n17983 27093\n50559 75902\n87006 100000\n49946 74985\n97397 100000\n26484 39904\n19191 28909\n995 1487\n54753 82142\n77324 100000\n85682 100000\n31334 47191\n33450 50362\n76350 100000\n93120 100000\n77979 100000\n46144 69317\n1950 2944\n73687 100000\n41268 62070\n78937 100000\n44555 66961\n41663 62657\n44105 66283\n43733 65725\n61844 92780\n39590 59562\n18175 27383\n34121 51366\n34874 52467\n24297 36621\n24589 37052\n68801 100000\n74633 100000\n95162 100000\n49314 74051\n59873 89829\n48753 73205\n67733 100000\n15706 23665\n43077 64756\n68993 100000\n77435 100000\n49560 74426\n24443 36840\n9244 13890\n53041 79627\n21094 31789\n79876 100000\n72474 100000\n39535 59474\n71055 100000\n1893 2853\n65749 98613\n73128 100000\n53232 79913\n57684 86519\n9260 13916\n49758 74712\n84174 100000\n4964 7480\n15772 23758\n38424 57812\n18370 27685\n80635 100000\n31355 47222\n5658 8495\n37827 56899\n68438 100000\n5588 8388\n88901 100000\n90469 100000\n97952 100000\n14349 21594\n11846 17822\n85819 100000\n20950 31565\n82163 100000\n24442 36838\n95255 100000\n41695 62705\n56630 84953\n61163 91768\n79592 100000\n2424 3662\n38998 58667\n27716 41735\n96484 100000\n53870 80837\n7103 10665\n18734 28235\n82653 100000\n68946 100000\n17488 26347\n19173 28884\n79480 100000\n89368 100000\n67476 100000\n79687 100000\n11985 18023\n94758 100000\n83689 100000\n65492 98244\n42408 63764\n9428 14172\n28325 42648\n37656 56625\n80870 100000\n86710 100000\n90157 100000\n49997 75057\n31263 47080\n32339 48705\n32076 48305\n5794 8699\n63061 94575\n85563 100000\n56343 84525\n66135 99198\n25013 37699\n10676 16055\n20013 30143\n90326 100000\n4687 7070\n90312 100000\n58048 87079\n8202 12321\n22318 33640\n50245 75436\n11228 16892\n88938 100000\n10603 15940\n34107 51344\n44639 67089\n26908 40540\n15344 23119\n29180 43945\n97744 100000\n18144 27332\n1899 2862\n75001 100000\n61871 92818\n75607 100000\n7717 11594\n22288 33594\n7370 11074\n526 776\n53028 79611\n67209 100000\n54993 82508\n2570 3890\n61254 91904\n25161 37918\n80420 100000\n62065 93106\n69582 100000\n96470 100000\n7755 11652\n99006 100000\n85360 100000\n60564 90868\n76354 100000\n61728 92607\n64214 96313\n84879 100000\n15410 23220\n88983 100000\n18581 28009\n97712 100000\n69977 100000\n60167 90277\n64640 96947\n92572 100000\n8132 12217\n25239 38036\n6586 9882\n69339 100000\n43408 65257\n6027 9052\n30531 45988\n66734 100000\n34227 51517\n67104 100000\n8761 13158\n11461 17253\n46210 69416\n64132 96191\n34824 52398\n19327 29118\n81707 100000\n22876 34464\n83637 100000\n41808 62872\n80738 100000\n1896 2857\n3392 5130\n14057 21170\n62130 93203\n81692 100000\n50849 76340\n17636 26577\n75204 100000\n37070 55757\n43197 64935\n80610 100000\n87106 100000\n79867 100000\n24791 37371\n31113 46851\n59319 88986\n70709 100000\n71305 100000\n49916 74942\n91746 100000\n19270 29029\n45598 68502\n31892 48033\n4219 6363\n48907 73428\n7078 10628\n85327 100000\n5614 8428\n78213 100000\n42712 64215\n97761 100000\n27395 41251\n16639 25063\n54346 81538\n86279 100000\n97618 100000\n54441 81680\n34042 51246\n35531 53440\n53004 79571\n49727 74670\n71289 100000\n80359 100000\n72711 100000\n5359 8049\n22410 33773\n8498 12761\n60885 91350\n86317 100000\n71766 100000\n73056 100000\n85709 100000\n13043 19643\n46518 69883\n27277 41083\n34721 52245\n12518 18832\n58518 87763\n49822 74805\n23109 34832\n4624 6973\n84183 100000\n22504 33908\n52430 78710\n74613 100000\n38851 58452\n41247 62041\n24871 37496\n29665 44679\n93940 100000\n23967 36120\n46357 69644\n49823 74806\n4414 6655\n44487 66856\n86875 100000\n16446 24772\n59923 89904\n96436 100000\n42870 64445\n9355 14059\n42812 64356\n65943 98903\n99869 100000\n49416 74203\n6923 10390\n55395 83128\n11552 17389\n70271 100000\n8838 13277\n2922 4425\n64805 97203\n84364 100000\n62032 93060\n24605 37077\n53624 80473\n60116 90195\n10771 16198\n14431 21721\n66811 100000\n67166 100000\n7293 10954\n80711 100000\n55955 83949\n82993 100000\n26076 39291\n82758 100000\n7156 10753\n38158 57412\n91988 100000\n35689 53675\n87430 100000\n92067 100000\n27046 40734\n11694 17599\n70406 100000\n1878 2831\n29156 43906\n10562 15883\n74556 100000\n73976 100000\n53521 80325\n8973 13482\n85243 100000\n49448 74250\n4979 7500\n83683 100000\n55116 82698\n89682 100000\n34892 52493\n19935 30025\n5325 7998\n99495 100000\n23554 35504\n80935 100000\n37830 56903\n89556 100000\n90987 100000\n5328 8002\n1237 1853\n29001 43670\n80158 100000\n3532 5335\n83541 100000\n65883 98807\n80837 100000\n67792 100000\n6494 9752\n95138 100000\n73195 100000\n85939 100000\n15004 22593\n7762 11660\n83397 100000\n33408 50295\n1090 1626\n39295 59114\n49840 74829\n43576 65501\n26643 40135\n31037 46736\n50416 75686\n51192 76842\n1170 1746\n97065 100000\n49786 74755\n46126 69289\n65641 98460\n36094 54284\n22911 34520\n84420 100000\n90558 100000\n75331 100000\n67651 100000\n51337 77050\n6824 10243\n88004 100000\n71780 100000\n11443 17222\n76809 100000\n46673 70108\n40237 60514\n61752 92643\n79825 100000\n3081 4658\n24495 36912\n81720 100000\n66516 99769\n90920 100000\n53770 80690\n34248 51551\n15028 22628\n86371 100000\n17874 26927\n48546 72901\n13394 20172\n59912 89887\n67303 100000\n24436 36829\n55002 82522\n95043 100000\n46864 70396\n55801 83723\n75682 100000\n6804 10215\n9429 14173\n20052 30202\n1172 1748\n37797 56851\n73362 100000\n25475 38398\n54464 81720\n25022 37709\n10891 16383\n93209 100000\n32431 48832\n72305 100000\n79939 100000\n8776 13181\n98402 100000\n77030 100000\n8995 13511\n68181 100000\n2083 3149\n29802 44887\n78365 100000\n99765 100000\n73124 100000\n2102 3178\n998 1490\n29874 45000\n76101 100000\n82502 100000\n49944 74983\n98541 100000\n75124 100000\n22391 33742\n11314 17028\n70942 100000\n45723 68688\n30190 45488\n61251 91899\n24450 36850\n6712 10075\n62015 93032\n80608 100000\n5620 8438\n14456 21761\n44351 66656\n18786 28308\n97123 100000\n89061 100000\n58972 88468\n1985 2997\n79682 100000\n92774 100000\n87258 100000\n2690 4065\n18939 28532\n35171 52912\n36594 55048\n38026 57206\n60298 90462\n60317 90494\n64846 97260\n67919 100000\n87400 100000\n42050 63234\n38754 58298\n57743 86613\n65534 98301\n2612 3950\n72128 100000\n28805 43378\n43607 65551\n16764 25244\n45763 68746\n60463 90715\n10037 15100\n51829 77810\n9858 14820\n36679 55171\n90213 100000\n93631 100000\n80598 100000\n29769 44841\n19354 29154\n34051 51258\n12401 18650\n58570 87841\n66690 100000\n85771 100000\n29029 43716\n62003 93016\n76319 100000\n3221 4875\n68429 100000\n90896 100000\n860 1285\n88610 100000\n55847 83792\n73825 100000\n55792 83708\n43817 65856\n98982 100000\n11511 17324\n71259 100000\n3798 5727\n53141 79779\n57435 86167\n1576 2367\n70359 100000\n28672 43169\n75366 100000\n11395 17148\n4194 6327\n65009 97502\n84656 100000\n85264 100000\n92878 100000\n41996 63155\n38091 57308\n98287 100000\n89533 100000\n9853 14813\n72472 100000\n30591 46081\n87223 100000\n5646 8475\n84316 100000\n75657 100000\n94306 100000\n64635 96940\n55225 82864\n80473 100000\n31952 48120\n55037 82573\n12049 18120\n70862 100000\n17116 25788\n50902 76419\n75160 100000\n95862 100000\n3263 4938\n22061 33258\n55902 83873\n596 889\n60994 91512\n51953 77990\n65253 97873\n53108 79730\n87458 100000\n35476 53367\n85087 100000\n21092 31787\n17587 26501\n45299 68077\n28261 42555\n97718 100000\n28281 42584\n59267 88905\n420 619\n4759 7177\n43559 65481\n46857 70386\n11213 16870\n63997 95990\n6417 9632\n19646 29588\n31889 48028\n61917 92889\n8850 13297\n57926 86895\n46982 70578\n2281 3451\n29161 43914\n43725 65714\n15298 23039\n8327 12505\n87498 100000\n78590 100000\n23669 35677\n78705 100000\n21871 32972\n10874 16356\n37945 57079\n59352 89037\n33395 50275\n61376 92087\n79931 100000\n188 271\n87478 100000\n46610 70019\n94126 100000\n98144 100000\n89238 100000\n53809 80752\n50735 76165\n9604 14440\n74625 100000\n20379 30683\n40795 61359\n27059 40751\n54738 82116\n72026 100000\n96453 100000\n57249 85887\n63355 95021\n30732 46292\n7234 10867\n41913 63029\n86179 100000\n58869 88310\n68230 100000\n23804 35884\n25471 38392\n95065 100000\n4763 7182\n71002 100000\n3136 4744\n66200 99299\n24785 37361\n58959 88446\n12075 18162\n48363 72627\n15494 23343\n49939 74976\n66879 100000\n27321 41146\n8612 12930\n57542 86315\n2071 3130\n75814 100000\n38369 57728\n15836 23867\n5569 8357\n13266 19983\n8691 13052\n10445 15712\n13861 20874\n21003 31653\n16275 24525\n62787 94168\n66064 99084\n64435 96645\n60355 90553\n18500 27881\n2125 3216\n83276 100000\n27338 41171\n29094 43813\n19041 28679\n31924 48079\n93705 100000\n53671 80546\n58705 88047\n97203 100000\n55608 83447\n57252 85892\n34549 51993\n78036 100000\n87758 100000\n22596 34040\n61750 92639\n8989 13504\n19529 29415\n51880 77884\n48839 73331\n63899 95848\n74655 100000\n98824 100000\n60762 91178\n89519 100000\n76443 100000\n80582 100000\n1417 2127\n28571 43015\n37751 56778\n96765 100000\n17603 26526\n35442 53316\n50167 75323\n64661 96979\n65318 97968\n85844 100000\n96571 100000\n10801 16245\n71626 100000\n32465 48885\n73494 100000\n20626 31066\n37765 56800\n77628 100000\n75812 100000\n37518 56419\n64332 96486\n59543 89329\n52281 78482\n87278 100000\n10061 15136\n80708 100000\n65171 97750\n77755 100000\n80104 100000\n75076 100000\n96905 100000\n8420 12637\n75684 100000\n75671 100000\n6758 10146\n1071 1600\n594 886\n69922 100000\n79659 100000\n31573 47554\n10050 15121\n92746 100000\n66863 100000\n72210 100000\n65578 98364\n82716 100000\n77128 100000\n82981 100000\n8425 12643\n48622 73001\n66642 99951\n99862 100000\n902 1349\n42253 63529\n16137 24320\n83926 100000\n22878 34467\n47682 71618\n20484 30846\n8613 12931\n86697 100000\n82826 100000\n81716 100000\n39560 59512\n91187 100000\n66989 100000\n26214 39491\n89819 100000\n51672 77565\n71666 100000\n91275 100000\n63211 94803\n95971 100000\n96180 100000\n76114 100000\n31395 47282\n5319 7989\n54296 81462\n90808 100000\n56131 84215\n60689 91057\n93866 100000\n95454 100000\n10466 15743\n63483 95212\n58241 87359\n98828 100000\n83345 100000\n20977 31609\n55233 82877\n68375 100000\n76177 100000\n3627 5475\n18529 27927\n96398 100000\n41904 63015\n64736 97095\n66973 100000\n56489 84745\n72158 100000\n48885 73394\n91286 100000\n50155 75305\n88244 100000\n73824 100000\n52970 79518\n95711 100000\n33855 50974\n35474 53365\n64678 97006\n32159 48432\n76923 100000\n35726 53736\n26395 39768\n94572 100000\n91755 100000\n76995 100000\n8087 12150\n64886 97320\n88242 100000\n67799 100000\n73898 100000\n7259 10901\n85523 100000\n22567 34002\n30600 46098\n81214 100000\n43272 65052\n47073 70721\n90119 100000\n67191 100000\n14544 21894\n62397 93597\n56327 84500\n13010 19595\n91817 100000\n9686 14557\n15276 23006\n13735 20679\n61195 91817\n20305 30574\n89115 100000\n5898 8864\n27329 41157\n20643 31092\n58546 87805\n82157 100000\n80197 100000\n33405 50290\n51098 76701\n2841 4308\n1142 1705\n83385 100000\n97608 100000\n12796 19269\n56366 84558\n99912 100000\n29311 44140\n62177 93280\n17269 26026\n59325 88996\n91900 100000\n52277 78477\n19807 29823\n19323 29113\n70785 100000\n41916 63034\n25000 37682\n73121 100000\n37553 56475\n17710 26688\n47573 71462\n13636 20530\n94822 100000\n10421 15676\n50565 75910\n62585 93874\n31553 47524\n78860 100000\n45507 68376\n80220 100000\n80308 100000\n70738 100000\n51331 77040\n61396 92118\n25840 38956\n13040 19640\n90659 100000\n83610 100000\n16685 25133\n84639 100000\n67742 100000\n60668 91024\n54674 82024\n92173 100000\n15734 23701\n31669 47694\n33277 50110\n99667 100000\n41321 62154\n3974 5997\n37512 56410\n88433 100000\n9087 13652\n50815 76285\n30901 46530\n6507 9770\n55751 83649\n85156 100000\n57650 86466\n75324 100000\n80221 100000\n21550 32491\n97717 100000\n23984 36150\n65420 98125\n79324 100000\n63584 95372\n35148 52877\n78882 100000\n22387 33737\n21435 32313\n22436 33810\n94991 100000\n75029 100000\n56726 85102\n39804 59882\n79657 100000\n29913 45056\n56261 84409\n98079 100000\n16838 25352\n64716 97064\n767 1151\n58934 88407\n77417 100000\n94428 100000\n18662 28131\n56603 84911\n32350 48721\n76978 100000\n59042 88576\n33138 49906\n3710 5599\n81979 100000\n98610 100000\n35285 53077\n65107 97647\n88372 100000\n75540 100000\n22312 33630\n13232 19930\n79449 100000\n66891 100000\n36155 54372\n52474 78773\n45380 68194\n57339 86025\n72342 100000\n9703 14583\n9631 14480\n31844 47959\n42260 63541\n7605 11426\n61577 92378\n71536 100000\n87728 100000\n4646 7006\n74123 100000\n48592 72960\n84370 100000\n29173 43933\n78355 100000\n60408 90637\n77397 100000\n28556 42991\n43043 64703\n56407 84623\n14889 22420\n86918 100000\n13328 20076\n86816 100000\n92556 100000\n3366 5092\n21658 32652\n56514 84779\n90725 100000\n79975 100000\n92480 100000\n60845 91293\n67284 100000\n28894 43508\n85618 100000\n91075 100000\n5313 7982\n12744 19184\n30725 46281\n85242 100000\n46584 69980\n80046 100000\n78929 100000\n9748 14652\n86036 100000\n98761 100000\n95092 100000\n35991 54127\n83631 100000\n89718 100000\n22274 33576\n43564 65488\n97360 100000\n1258 1884\n39453 59353\n31326 47177\n97621 100000\n33231 50040\n39026 58710\n35221 52987\n44079 66243\n23696 35718\n72510 100000\n50859 76353\n47644 71562\n19457 29305\n91591 100000\n44046 66199\n73406 100000\n98349 100000\n6689 10042\n41304 62129\n77593 100000\n18741 28246\n20713 31206\n53125 79755\n18029 27161\n87371 100000\n20267 30517\n86810 100000\n59568 89365\n12694 19108\n6573 9865\n85754 100000\n35250 53027\n91384 100000\n33354 50220\n47578 71469\n2723 4117\n65074 97597\n66923 100000\n24489 36903\n71544 100000\n19976 30089\n88013 100000\n44003 66138\n95459 100000\n69033 100000\n95140 100000\n33186 49974\n20645 31095\n61096 91668\n25092 37821\n66870 100000\n20074 30235\n6637 9962\n62022 93042\n98333 100000\n59918 89897\n31139 46894\n39081 58790\n30028 45239\n35970 54097\n85996 100000\n37863 56952\n17097 25756\n39764 59819\n41476 62383\n17858 26902\n60187 90304\n58214 87317\n94338 100000\n78660 100000\n43512 65409\n89657 100000\n79165 100000\n37341 56155\n24077 36293\n64607 96900\n22023 33204\n5768 8661\n10287 15472\n79147 100000\n69864 100000\n31885 48022\n58287 87427\n74526 100000\n77313 100000\n55939 83924\n89789 100000\n26032 39226\n43900 65974\n69107 100000\n6591 9889\n96201 100000\n31900 48044\n83790 100000\n86387 100000\n45583 68479\n4220 6365\n12841 19335\n35404 53258\n33419 50314\n5222 7855\n88761 100000\n7866 11818\n11817 17780\n21197 31949\n70308 100000\n36077 54258\n30992 46670\n82296 100000\n77858 100000\n40817 61390\n12637 19015\n82219 100000\n713 1068\n68502 100000\n409 602\n82590 100000\n58268 87401\n87582 100000\n60875 91335\n10407 15658\n64795 97187\n77901 100000\n82692 100000\n17651 26597\n14191 21366\n24991 37669\n48001 72094\n85199 100000\n36817 55373\n19238 28982\n3781 5705\n21205 31960\n15495 23345\n24013 36198\n30979 46652\n7181 10790\n90915 100000\n75418 100000\n14144 21303\n24976 37649\n10781 16212\n32885 49514\n54041 81086\n42784 64316\n55189 82809\n67961 100000\n71033 100000\n2739 4143\n61738 92620\n43128 64831\n61275 91936\n24321 36656\n4741 7151\n68244 100000\n30345 45716\n59501 89264\n62504 93752\n31496 47438\n25732 38795\n40457 60849\n85820 100000\n37316 56120\n31853 47972\n55382 83109\n70138 100000\n94697 100000\n92867 100000\n55083 82645\n24016 36203\n65766 98633\n70447 100000\n78725 100000\n47490 71339\n77828 100000\n84609 100000\n39548 59494\n68780 100000\n34210 51494\n47689 71628\n718 1077\n33999 51185\n18267 27527\n34223 51512\n77588 100000\n8917 13394\n56237 84374\n24045 36246\n93040 100000\n76397 100000\n30760 46333\n59218 88830\n69376 100000\n18293 27567\n61002 91526\n4377 6599\n9069 13625\n71314 100000\n61912 92882\n73051 100000\n55360 83078\n83185 100000\n26497 39923\n74743 100000\n96223 100000\n8903 13374\n44150 66353\n78826 100000\n5832 8762\n72221 100000\n16998 25604\n80123 100000\n47704 71650\n83927 100000\n19622 29554\n74612 100000\n97626 100000\n48271 72486\n28948 43589\n25297 38123\n37625 56582\n20946 31559\n82948 100000\n53957 80964\n16595 24995\n12742 19181\n56135 84221\n50458 75747\n65698 98540\n90855 100000\n93564 100000\n42720 64226\n37257 56034\n58670 87992\n77473 100000\n18880 28444\n97598 100000\n574 852\n45458 68304\n68091 100000\n30488 45927\n98885 100000\n43019 64667\n71570 100000\n3455 5224\n92305 100000\n75189 100000\n97455 100000\n81324 100000\n60583 90895\n38439 57835\n76648 100000\n86357 100000\n19680 29640\n92676 100000\n80029 100000\n21143 31866\n90964 100000\n97243 100000\n43031 64684\n86424 100000\n2526 3822\n38627 58106\n8804 13228\n10936 16457\n15553 23433\n41391 62257\n2632 3980\n82760 100000\n98787 100000\n8869 13322\n35816 53869\n6752 10135\n68922 100000\n96443 100000\n86027 100000\n71892 100000\n55643 83497\n40984 61641\n99735 100000\n83994 100000\n83993 100000\n35975 54104\n32174 48459\n16580 24969\n79648 100000\n17422 26245\n98112 100000\n12907 19439\n42049 63233\n90907 100000\n10113 15214\n46927 70489\n30734 46296\n59870 89824\n31917 48068\n20525 30908\n48516 72858\n77177 100000\n29588 44560\n74122 100000\n7281 10936\n89227 100000\n80211 100000\n90141 100000\n62580 93868\n81787 100000\n57240 85870\n35936 54048\n35708 53705\n17386 26189\n26669 40176\n29223 44006\n20906 31504\n49867 74872\n78792 100000\n10908 16412\n7337 11022\n84767 100000\n65084 97614\n29056 43757\n31349 47212\n69312 100000\n85968 100000\n16531 24905\n45476 68330\n85726 100000\n57563 86341\n6093 9146\n27702 41716\n41894 63000\n57010 85526\n6612 9919\n4506 6794\n58427 87629\n66655 99972\n70260 100000\n17605 26529\n61851 92789\n33689 50721\n34469 51876\n32696 49227\n78832 100000\n99325 100000\n72346 100000\n99984 100000\n81252 100000\n23546 35492\n69992 100000\n32279 48616\n51300 76999\n4033 6085\n22022 33202\n50763 76207\n81860 100000\n79636 100000\n43636 65593\n61398 92121\n16926 25496\n72999 100000\n27065 40760\n27157 40900\n83280 100000\n92646 100000\n29118 43847\n65459 98189\n93428 100000\n48134 72278\n61363 92066\n7487 11257\n39531 59468\n32205 48505\n94693 100000\n81407 100000\n37952 57088\n62400 93602\n177 256\n16411 24722\n35557 53474\n64904 97347\n79885 100000\n69089 100000\n15677 23623\n14170 21337\n48820 73305\n45770 68756\n47629 71542\n76976 100000\n17433 26263\n73791 100000\n49537 74389\n58376 87559\n28435 42812\n10146 15262\n75692 100000\n98208 100000\n86488 100000\n42151 63382\n5184 7799\n2364 3576\n39511 59441\n57089 85642\n60039 90074\n39978 60133\n80630 100000\n78798 100000\n42507 63912\n65989 98975\n16083 24233\n98996 100000\n15386 23182\n30609 46110\n19208 28931\n74013 100000\n285 410\n50053 75143\n12501 18806\n78829 100000\n29008 43682\n71099 100000\n45673 68614\n29717 44761\n24873 37499\n97441 100000\n72694 100000\n14730 22171\n2851 4320\n1083 1618\n85913 100000\n66173 99260\n1785 2691\n3286 4973\n13550 20401\n40614 61085\n23575 35535\n17562 26458\n91194 100000\n78371 100000\n7454 11206\n9438 14187\n60138 90228\n67913 100000\n32871 49490\n17252 26000\n43099 64791\n16503 24860\n53559 80381\n87914 100000\n14579 21947\n72947 100000\n96769 100000\n25938 39100\n58508 87748\n66808 100000\n49292 74012\n20782 31314\n5957 8954\n18391 27715\n27767 41812\n48011 72110\n43141 64849\n38503 57925\n61830 92755\n67755 100000\n88861 100000\n55549 83356\n32820 49416\n66848 100000\n65970 98945\n44373 66689\n39208 58984\n37191 55935\n11825 17791\n42915 64513\n47373 71163\n29894 45026\n5248 7889\n25786 38875\n60559 90860\n81439 100000\n32740 49290\n52394 78654\n69437 100000\n59276 88921\n3453 5221\n53465 80247\n14551 21906\n37465 56344\n19598 29517\n41617 62587\n70365 100000\n39490 59411\n16702 25157\n75012 100000\n5094 7666\n34597 52062\n7659 11510\n3041 4599\n87304 100000\n10586 15916\n61447 92192\n66937 100000\n16666 25103\n86453 100000\n62118 93186\n51131 76749\n94537 100000\n32863 49477\n28544 42973\n75476 100000\n5870 8822\n34056 51265\n53791 80721\n76312 100000\n27077 40778\n63129 94679\n52625 79002\n23809 35891\n68406 100000\n88110 100000\n13903 20939\n4824 7271\n15751 23725\n59432 89158\n56104 84176\n6517 9786\n14608 21991\n5468 8211\n59070 88615\n44087 66255\n58903 88359\n57671 86496\n72316 100000\n54273 81429\n33173 49954\n65394 98084\n64502 96746\n97410 100000\n25415 38305\n58024 87041\n18751 28260\n19668 29621\n13327 20074\n44289 66559\n33452 50365\n46314 69579\n74464 100000\n89473 100000\n2196 3326\n56324 84496\n32027 48229\n60991 91507\n92780 100000\n81356 100000\n1649 2482\n16827 25334\n78312 100000\n71688 100000\n94845 100000\n79223 100000\n89362 100000\n12830 19323\n27478 41377\n58212 87315\n80547 100000\n65756 98621\n60461 90712\n52707 79120\n28865 43463\n52989 79548\n45087 67762\n23190 34953\n32630 49135\n88059 100000\n84264 100000\n12516 18829\n49277 73992\n72135 100000\n80232 100000\n1561 2343\n46033 69149\n44662 67126\n93186 100000\n57936 86912\n69108 100000\n83591 100000\n29049 43746\n46878 70414\n14078 21201\n26888 40507\n43198 64936\n22912 34522\n25960 39127\n59033 88562\n528 780\n34928 52546\n12455 18736\n74881 100000\n410 604\n64811 97209\n30889 46513\n55874 83827\n18724 28220\n30815 46410\n17577 26485\n22209 33478\n93622 100000\n49335 74083\n70714 100000\n7992 12005\n22289 33595\n45445 68285\n18173 27380\n98799 100000\n2554 3865\n6452 9692\n30793 46378\n41521 62448\n8502 12767\n33409 50296\n39574 59535\n94431 100000\n65974 98951\n53639 80497\n94891 100000\n90261 100000\n16951 25530\n47840 71854\n57783 86679\n56054 84102\n28046 42222\n39597 59571\n22287 33593\n37926 57047\n38782 58342\n75914 100000\n55328 83023\n99038 100000\n84150 100000\n33740 50799\n15898 23956\n86638 100000\n89575 100000\n11816 17778\n3773 5695\n29857 44975\n40646 61130\n98088 100000\n89593 100000\n25817 38922\n28893 43506\n84479 100000\n74 109\n99572 100000\n97873 100000\n29817 44912\n33751 50815\n87726 100000\n31723 47776\n40249 60529\n60025 90053\n4571 6896\n61406 92131\n10810 16261\n9914 14904\n842 1260\n11280 16973\n89992 100000\n10099 15192\n80243 100000\n80306 100000\n79444 100000\n65406 98102\n4086 6167\n14375 21635\n67111 100000\n57081 85628\n36753 55277\n30642 46156\n53203 79870\n7065 10606\n2158 3266\n57209 85821\n31720 47772\n19963 30070\n74694 100000\n81107 100000\n96731 100000\n11053 16632\n48575 72937\n37088 55780\n77061 100000\n76511 100000\n42228 63495\n35916 54019\n41640 62623\n68088 100000\n24993 37672\n16416 24731\n20258 30502\n96228 100000\n84709 100000\n32033 48238\n6343 9525\n69669 100000\n57007 85520\n23845 35941\n46609 70018\n31040 46741\n58083 87128\n78418 100000\n38604 58076\n96591 100000\n7148 10738\n13764 20725\n32493 48930\n80563 100000\n22697 34195\n78589 100000\n11926 17938\n11219 16879\n52420 78695\n6589 9887\n74152 100000\n64217 96316\n64533 96792\n69713 100000\n48286 72509\n21448 32337\n53974 80991\n22362 33701\n18211 27442\n43223 64972\n78417 100000\n93328 100000\n20835 31398\n43229 64982\n71110 100000\n81096 100000\n91627 100000\n21500 32415\n95708 100000\n78005 100000\n84843 100000\n81371 100000\n98988 100000\n13275 19996\n79643 100000\n46526 69894\n79401 100000\n61663 92510\n75573 100000\n89589 100000\n78971 100000\n61133 91722\n86103 100000\n45657 68591\n48707 73134\n19082 28740\n1067 1594\n7580 11389\n67570 100000\n17144 25830\n69771 100000\n29656 44667\n12230 18399\n34294 51623\n56925 85398\n56258 84405\n76522 100000\n57136 85713\n43520 65422\n21363 32212\n55682 83552\n82885 100000\n36410 54764\n56710 85078\n89976 100000\n45740 68713\n58291 87432\n32518 48968\n37224 55986\n47266 71005\n77510 100000\n69284 100000\n34451 51852\n52701 79112\n45917 68969\n59385 89088\n65596 98390\n23448 35335\n49112 73739\n48155 72312\n13037 19636\n43764 65772\n6440 9671\n77824 100000\n89841 100000\n75128 100000\n96817 100000\n1891 2850\n77081 100000\n28828 43409\n18927 28515\n91095 100000\n90284 100000\n81196 100000\n74169 100000\n55722 83610\n52473 78772\n50562 75907\n26187 39456\n2953 4465\n63721 95585\n40285 60591\n49318 74058\n78270 100000\n18698 28184\n76850 100000\n6111 9176\n91086 100000\n30477 45909\n46931 70495\n55987 83998\n58222 87330\n45963 69045\n21778 32825\n68938 100000\n47887 71926\n37215 55972\n35083 52778\n75288 100000\n15507 23366\n68862 100000\n52143 78277\n94399 100000\n73292 100000\n67706 100000\n18962 28564\n42270 63555\n25697 38741\n141 204\n86290 100000\n38017 57191\n74780 100000\n6381 9581\n91477 100000\n84227 100000\n92685 100000\n19741 29734\n4982 7505\n21761 32801\n76575 100000\n65418 98122\n14167 21334\n75126 100000\n28667 43160\n92031 100000\n90732 100000\n57367 86065\n2161 3271\n13095 19725\n89166 100000\n54251 81395\n78683 100000\n28720 43244\n87917 100000\n26095 39319\n42459 63843\n59014 88532\n61964 92953\n90926 100000\n36331 54644\n74226 100000\n45478 68334\n60781 91207\n85413 100000\n82250 100000\n93330 100000\n11762 17695\n51816 77790\n95113 100000\n7262 10905\n3162 4781\n27143 40879\n61635 92469\n44344 66644\n32508 48954\n31621 47622\n50521 75844\n18193 27414\n16695 25147\n98451 100000\n37885 56988\n5177 7787\n54665 82012\n58001 87006\n28621 43090\n90426 100000\n58338 87508\n45681 68627\n65593 98386\n32423 48821\n8122 12199\n38075 57282\n95395 100000\n37683 56668\n34005 51193\n89024 100000\n52911 79432\n75244 100000\n29188 43956\n62255 93392\n31568 47547\n40449 60835\n60197 90318\n65454 98181\n94818 100000\n12938 19486\n50717 76140\n50466 75759\n54397 81614\n25916 39068\n50885 76391\n59463 89208\n11664 17551\n57716 86572\n40775 61328\n40508 60926\n9430 14175\n32168 48448\n84023 100000\n76651 100000\n4344 6552\n35911 54010\n36473 54858\n38888 58506\n31182 46962\n6292 9454\n11885 17877\n86821 100000\n99726 100000\n92293 100000\n16761 25240\n35042 52713\n14397 21668\n28388 42742\n86291 100000\n47231 70953\n76898 100000\n65700 98543\n89566 100000\n79066 100000\n87083 100000\n27319 41143\n12092 18188\n9752 14658\n91034 100000\n16141 24326\n33645 50656\n50372 75619\n12838 19332\n47941 72002\n85420 100000\n11981 18017\n76487 100000\n65395 98086\n39101 58821\n27713 41730\n78464 100000\n65738 98595\n10038 15101\n43609 65555\n66311 99466\n66696 100000\n71850 100000\n90838 100000\n17786 26797\n86287 100000\n22297 33608\n33680 50707\n11955 17980\n46076 69213\n13702 20632\n85850 100000\n82238 100000\n52062 78148\n40786 61344\n8480 12733\n80238 100000\n64696 97034\n70090 100000\n86429 100000\n46560 69942\n24806 37397\n54765 82161\n93507 100000\n83361 100000\n6451 9691\n52685 79087\n78075 100000\n82868 100000\n52801 79260\n51133 76753\n82294 100000\n55089 82653\n38892 58511\n87763 100000\n55337 83037\n85879 100000\n55051 82596\n34188 51463\n82240 100000\n93618 100000\n74578 100000\n49372 74137\n33436 50339\n38172 57432\n24951 37613\n38958 58609\n25133 37880\n36761 55291\n56263 84411\n65914 98855\n25425 38320\n99352 100000\n51386 77125\n18498 27877\n97173 100000\n23773 35832\n78576 100000\n91994 100000\n75606 100000\n41127 61864\n10083 15169\n48465 72772\n86212 100000\n49970 75016\n89034 100000\n94745 100000\n996 1488\n61022 91555\n97613 100000\n27676 41677\n30655 46176\n47142 70823\n47190 70894\n52169 78315\n21413 32283\n95843 100000\n37762 56796\n23968 36121\n28709 43227\n12961 19522\n89033 100000\n5584 8381\n29417 44295\n12633 19008\n6030 9055\n38803 58376\n14309 21534\n22872 34459\n3166 4788\n56416 84636\n42900 64490\n77407 100000\n77962 100000\n49389 74165\n58755 88133\n14214 21399\n1191 1779\n71117 100000\n61891 92850\n38057 57253\n46178 69368\n411 605\n91106 100000\n17546 26436\n5970 8973\n86926 100000\n87122 100000\n56244 84384\n88049 100000\n44941 67537\n4567 6889\n49143 73786\n34194 51471\n72831 100000\n75373 100000\n89791 100000\n90 135\n41788 62841\n54532 81821\n10672 16051\n43972 66089\n67052 100000\n53877 80848\n15940 24020\n2665 4028\n70274 100000\n58296 87440\n20539 30928\n57117 85686\n21994 33160\n68113 100000\n91784 100000\n41931 63058\n15689 23643\n10719 16124\n29131 43863\n41936 63064\n72213 100000\n19209 28933\n72781 100000\n65846 98751\n53000 79564\n92562 100000\n32255 48574\n42009 63173\n9033 13574\n67588 100000\n39488 59408\n77702 100000\n35769 53797\n53518 80320\n45534 68412\n49956 75000\n22291 33598\n88246 100000\n44813 67355\n56796 85196\n73052 100000\n26314 39644\n69266 100000\n38227 57514\n19486 29352\n5064 7622\n53881 80853\n67866 100000\n88184 100000\n97940 100000\n49028 73611\n66859 100000\n46996 70601\n352 511\n3589 5417\n8981 13494\n749 1124\n34313 51651\n50403 75664\n15802 23810\n30867 46480\n40315 60635\n11887 17880\n43892 65964\n64175 96254\n34770 52317\n69703 100000\n82286 100000\n92229 100000\n90794 100000\n59466 89212\n43068 64744\n449 665\n9768 14684\n65100 97635\n58039 87063\n49883 74894\n72810 100000\n20250 30491\n81014 100000\n35903 53997\n32098 48341\n45834 68855\n312 450\n20530 30915\n74049 100000\n5602 8411\n23258 35050\n35796 53839\n28704 43218\n21354 32197\n46827 70338\n28501 42910\n51820 77797\n11180 16821\n29954 45124\n67056 100000\n72064 100000\n60600 90924\n46897 70442\n48107 72243\n97993 100000\n28178 42432\n63695 95545\n90523 100000\n98728 100000\n21850 32940\n45930 68991\n44354 66661\n13685 20605\n18684 28162\n40640 61123\n26333 39670\n40266 60556\n51050 76630\n72665 100000\n44602 67033\n27721 41743\n69080 100000\n63925 95886\n68365 100000\n5397 8102\n65896 98827\n8271 12419\n28055 42238\n69768 100000\n27086 40790\n23318 35141\n51595 77445\n44207 66436\n81375 100000\n37922 57042\n86624 100000\n76182 100000\n28757 43301\n68137 100000\n30084 45326\n64531 96789\n80195 100000\n14872 22396\n32771 49338\n35904 53999\n14298 21519\n30758 46331\n93299 100000\n65091 97623\n28185 42443\n63707 95564\n68373 100000\n43163 64880\n2063 3115\n61475 92233\n83070 100000\n83554 100000\n44901 67481\n50723 76150\n66928 100000\n31020 46711\n33152 49925\n93522 100000\n68716 100000\n78168 100000\n56849 85279\n13517 20351\n44959 67567\n42218 63479\n71514 100000\n83898 100000\n67002 100000\n48424 72713\n67425 100000\n69819 100000\n98348 100000\n76113 100000\n33576 50550\n5673 8516\n62109 93170\n69295 100000\n13506 20336\n41599 62559\n63779 95672\n89803 100000\n63599 95399\n95009 100000\n44599 67029\n25774 38859\n89226 100000\n44832 67384\n70016 100000\n98602 100000\n35677 53653\n12373 18612\n38306 57638\n34071 51291\n29206 43983\n89698 100000\n27662 41657\n88315 100000\n70821 100000\n1459 2195\n87928 100000\n17081 25734\n87493 100000\n19579 29487\n74457 100000\n12871 19380\n74846 100000\n16637 25060\n16217 24435\n58774 88164\n73968 100000\n69175 100000\n47 68\n38884 58499\n42515 63925\n9252 13903\n89192 100000\n12166 18306\n32665 49184\n33786 50869\n31162 46929\n32942 49605\n33879 51015\n45396 68219\n60201 90324\n54307 81477\n18936 28527\n56447 84679\n18915 28497\n96262 100000\n28915 43538\n93141 100000\n33038 49759\n71894 100000\n8499 12763\n91750 100000\n2847 4314\n91559 100000\n64058 96080\n39141 58886\n35117 52832\n76769 100000\n61211 91840\n81920 100000\n27559 41502\n30929 46574\n95727 100000\n47164 70856\n97485 100000\n80736 100000\n63759 95640\n24211 36489\n93743 100000\n57405 86120\n58145 87221\n91343 100000\n54982 82492\n12765 19219\n16971 25562\n98452 100000\n97757 100000\n51222 76885\n5959 8957\n53542 80356\n11279 16971\n91932 100000\n70685 100000\n75770 100000\n44243 66489\n21588 32542\n98814 100000\n26883 40498\n6831 10255\n29405 44278\n30150 45428\n53634 80487\n57715 86570\n74207 100000\n87386 100000\n24542 36979\n86688 100000\n75857 100000\n87397 100000\n51895 77904\n34889 52488\n39996 60161\n87107 100000\n27251 41043\n6258 9399\n99560 100000\n59821 89750\n8894 13361\n3001 4541\n507 749\n58159 87238\n52033 78109\n85582 100000\n79247 100000\n20989 31630\n61057 91605\n96840 100000\n27403 41262\n65826 98722\n13021 19611\n39324 59164\n96672 100000\n18850 28404\n71157 100000\n76288 100000\n82901 100000\n25274 38088\n23036 34715\n56382 84584\n19362 29164\n61393 92114\n97472 100000\n32817 49412\n18801 28332\n65352 98017\n25846 38964\n817 1223\n55355 83069\n42414 63772\n16708 25165\n12331 18547\n15485 23329\n37806 56865\n37970 57115\n35075 52763\n79227 100000\n25128 37873\n33178 49961\n77906 100000\n68988 100000\n98265 100000\n71918 100000\n82553 100000\n5907 8880\n36202 54442\n69274 100000\n78294 100000\n83172 100000\n61258 91910\n61895 92857\n20221 30450\n54693 82053\n22583 34021\n51891 77899\n97874 100000\n37889 56994\n50306 75526\n25745 38814\n44819 67365\n17104 25768\n33790 50875\n49954 74998\n11089 16693\n49077 73689\n85467 100000\n4346 6554\n43368 65199\n40091 60302\n31308 47152\n79170 100000\n77062 100000\n96787 100000\n32368 48748\n16825 25332\n4267 6430\n6319 9493\n96584 100000\n52268 78461\n16370 24665\n15591 23488\n51053 76635\n36290 54582\n98689 100000\n27790 41847\n2029 3067\n85635 100000\n70438 100000\n60000 90015\n65895 98826\n54416 81643\n42590 64033\n9190 13805\n21349 32190\n3037 4594\n1336 2002\n5828 8756\n86471 100000\n33271 50101\n66525 99783\n18355 27663\n57994 86997\n99976 100000\n92287 100000\n38871 58481\n81446 100000\n47216 70932\n46604 70009\n46022 69133\n11874 17864\n60072 90127\n68467 100000\n98334 100000\n96702 100000\n36851 55422\n17309 26083\n9296 13967\n74168 100000\n57971 86964\n28607 43071\n39365 59228\n33833 50939\n56801 85204\n60059 90106\n25839 38955\n75634 100000\n95607 100000\n56681 85030\n26027 39219\n50875 76377\n22861 34443\n27756 41795\n89951 100000\n74747 100000\n38275 57590\n73912 100000\n32469 48892\n23772 35831\n40687 61192\n67787 100000\n87854 100000\n82275 100000\n48662 73067\n99924 100000\n50396 75655\n52034 78110\n74806 100000\n75619 100000\n50195 75364\n40446 60830\n35920 54025\n82080 100000\n25912 39062\n3375 5106\n1715 2584\n68779 100000\n89274 100000\n10620 15966\n69651 100000\n63516 95260\n47463 71299\n28795 43362\n58113 87175\n66720 100000\n33332 50189\n82723 100000\n60352 90550\n63716 95578\n59869 89822\n53308 80025\n28752 43296\n61088 91652\n97223 100000\n61762 92658\n47148 70833\n11632 17500\n74891 100000\n16362 24653\n49671 74589\n94286 100000\n7790 11701\n29377 44238\n8885 13349\n61028 91562\n40426 60801\n62596 93887\n2765 4188\n90379 100000\n41613 62582\n13649 20549\n41922 63043\n32621 49121\n65775 98645\n28821 43400\n74120 100000\n61030 91564\n13637 20531\n2793 4233\n46241 69463\n29148 43892\n16153 24343\n88513 100000\n83241 100000\n54531 81820\n69793 100000\n78962 100000\n8516 12786\n64511 96760\n67019 100000\n64632 96936\n92737 100000\n23096 34808\n12467 18752\n74216 100000\n5561 8345\n8177 12286\n8033 12066\n39044 58737\n67412 100000\n85770 100000\n56142 84231\n3020 4567\n81942 100000\n42373 63708\n96564 100000\n49066 73673\n57723 86582\n93336 100000\n99815 100000\n31805 47899\n40966 61612\n95340 100000\n62745 94104\n1469 2212\n49009 73584\n77684 100000\n77193 100000\n16539 24914\n18064 27213\n98537 100000\n75190 100000\n3015 4560\n91639 100000\n9341 14037\n88765 100000\n44146 66347\n9797 14729\n67673 100000\n89439 100000\n9974 14999\n4520 6812\n95315 100000\n58509 87750\n9997 15038\n59643 89474\n92730 100000\n37663 56636\n24062 36267\n43216 64962\n36483 54872\n63951 95920\n94519 100000\n50753 76194\n13194 19874\n43617 65566\n20812 31361\n42201 63454\n91685 100000\n50941 76474\n67394 100000\n87708 100000\n39657 59665\n85216 100000\n19496 29367\n25355 38211\n73577 100000\n93396 100000\n75846 100000\n16228 24453\n66627 99931\n40774 61326\n49703 74632\n93126 100000\n20650 31103\n52393 78652\n55315 83003\n57264 85910\n46573 69963\n24486 36898\n41052 61747\n39881 59994\n20885 31470\n77971 100000\n35121 52837\n92474 100000\n53913 80901\n32103 48347\n61029 91563\n81921 100000\n82499 100000\n26503 39932\n51624 77492\n42181 63427\n79571 100000\n72223 100000\n22471 33862\n68795 100000\n94703 100000\n95068 100000\n93841 100000\n74904 100000\n16475 24816\n57686 86522\n89605 100000\n11989 18030\n18712 28205\n88511 100000\n13771 20738\n45340 68139\n45499 68365\n84419 100000\n19300 29078\n96017 100000\n37449 56319\n64947 97406\n66889 100000\n24986 37662\n9275 13939\n39310 59141\n12280 18475\n25480 38405\n6716 10081\n28967 43620\n42971 64595\n12341 18561\n93615 100000\n96713 100000\n40349 60688\n22072 33277\n40503 60917\n60135 90224\n70744 100000\n26217 39496\n15554 23434\n55059 82610\n59008 88522\n85808 100000\n25611 38604\n73556 100000\n33132 49896\n53263 79954\n90291 100000\n3251 4919\n22342 33672\n7224 10852\n91920 100000\n61846 92783\n26628 40113\n34026 51225\n71980 100000\n4596 6932\n39619 59602\n25887 39026\n83715 100000\n14147 21307\n14502 21832\n94676 100000\n53445 80222\n918 1372\n96734 100000\n70457 100000\n41253 62047\n2404 3633\n43973 66091\n5916 8895\n63331 94987\n48376 72644\n84385 100000\n40022 60202\n15776 23765\n21172 31912\n2590 3918\n25015 37701\n15083 22713\n52739 79166\n53631 80483\n63910 95863\n12851 19348\n44854 67414\n81831 100000\n3142 4752\n49942 74980\n33411 50300\n30774 46351\n71464 100000\n15815 23829\n95669 100000\n46387 69689\n4062 6127\n28949 43590\n90861 100000\n67756 100000\n93695 100000\n10832 16291\n63529 95283\n93672 100000\n12579 18923\n16744 25215\n66884 100000\n15212 22906\n92377 100000\n25327 38167\n58578 87854\n34134 51384\n40492 60902\n93963 100000\n96184 100000\n772 1157\n89565 100000\n44865 67429\n73693 100000\n31636 47645\n62516 93766\n89396 100000\n67408 100000\n31898 48041\n43171 64891\n45601 68508\n10892 16385\n90521 100000\n60802 91235\n78506 100000\n58562 87828\n61472 92229\n50944 76479\n47343 71118\n29805 44891\n92284 100000\n83734 100000\n39869 59977\n52077 78172\n81981 100000\n21560 32504\n35526 53434\n43715 65701\n63514 95257\n59440 89169\n17582 26493\n65629 98444\n39390 59266\n99061 100000\n19439 29277\n69790 100000\n99975 100000\n58673 87997\n96590 100000\n72951 100000\n58966 88457\n93302 100000\n19703 29676\n77527 100000\n1759 2653\n94048 100000\n77454 100000\n69135 100000\n71732 100000\n33585 50563\n33498 50433\n89247 100000\n63752 95629\n99402 100000\n97782 100000\n67774 100000\n84351 100000\n94546 100000\n83556 100000\n54946 82439\n85597 100000\n10044 15111\n61712 92583\n30726 46283\n1326 1986\n13045 19646\n24335 36676\n93762 100000\n79887 100000\n10668 16043\n69982 100000\n40138 60371\n11641 17516\n37251 56026\n6274 9423\n72130 100000\n62309 93471\n68345 100000\n32151 48421\n96416 100000\n80934 100000\n48257 72466\n17304 26075\n79989 100000\n82319 100000\n67622 100000\n5541 8314\n43964 66076\n49686 74609\n36350 54675\n33257 50081\n76434 100000\n14254 21452\n69010 100000\n73744 100000\n33663 50682\n29079 43787\n43346 65165\n9720 14610\n39480 59396\n76793 100000\n70984 100000\n14994 22580\n86484 100000\n28802 43374\n36332 54646\n37021 55681\n66350 99523\n45403 68228\n6435 9663\n28197 42459\n38049 57241\n43799 65827\n98522 100000\n63636 95458\n42035 63210\n22247 33535\n34285 51611\n84304 100000\n74906 100000\n81523 100000\n73001 100000\n82673 100000\n12267 18455\n51287 76981\n61962 92950\n41630 62609\n37938 57069\n25951 39115\n79614 100000\n915 1367\n70866 100000\n94172 100000\n666 998\n4340 6546\n57507 86263\n42806 64348\n87414 100000\n45128 67823\n23467 35365\n96781 100000\n18120 27298\n14727 22168\n19324 29114\n31075 46791\n14740 22186\n61420 92155\n44784 67312\n26135 39381\n16483 24827\n30533 45991\n4573 6899\n84349 100000\n36522 54930\n24869 37493\n69825 100000\n4225 6372\n61379 92091\n15094 22729\n17158 25853\n56727 85104\n37947 57081\n17500 26364\n40381 60735\n83543 100000\n95263 100000\n58108 87168\n5187 7802\n62304 93463\n26086 39306\n76332 100000\n22028 33210\n87687 100000\n81037 100000\n63168 94740\n84605 100000\n90487 100000\n40121 60345\n97862 100000\n56787 85184\n95053 100000\n15700 23658\n28440 42820\n17843 26880\n63332 94988\n46261 69496\n64803 97199\n29691 44723\n19441 29280\n90530 100000\n55521 83316\n83944 100000\n5936 8924\n12542 18868\n85572 100000\n94694 100000\n64537 96797\n54460 81713\n90013 100000\n24204 36480\n11692 17597\n47201 70910\n35136 52858\n10110 15209\n3763 5680\n81271 100000\n59644 89476\n74695 100000\n391 574\n14472 21785\n6511 9776\n87752 100000\n3621 5465\n79297 100000\n67920 100000\n90793 100000\n98726 100000\n59351 89036\n46823 70332\n77693 100000\n15225 22927\n31062 46774\n98532 100000\n91503 100000\n18240 27484\n46046 69168\n31828 47934\n67562 100000\n3528 5327\n76314 100000\n95575 100000\n82230 100000\n40595 61058\n98663 100000\n6314 9486\n67038 100000\n28855 43449\n38987 58649\n10107 15204\n34635 52119\n12979 19549\n37680 56663\n43006 64645\n66724 100000\n65659 98485\n99922 100000\n68692 100000\n19376 29184\n38807 58382\n70633 100000\n33607 50597\n21133 31851\n89869 100000\n49182 73849\n58361 87539\n84985 100000\n92016 100000\n95546 100000\n30772 46348\n9959 14976\n62720 94071\n68666 100000\n86491 100000\n87586 100000\n40209 60473\n21868 32967\n32382 48766\n67951 100000\n16745 25216\n1616 2431\n35269 53054\n50409 75672\n67901 100000\n44904 67485\n88746 100000\n73820 100000\n57370 86069\n46083 69224\n52189 78348\n19982 30098\n31045 46747\n32379 48762\n27615 41585\n91646 100000\n74812 100000\n97044 100000\n6388 9590\n80193 100000\n31031 46726\n2667 4031\n17771 26776\n35231 53002\n33885 51022\n18283 27553\n32533 48990\n63875 95815\n62870 94287\n86859 100000\n21913 33038\n33481 50406\n32372 48752\n85743 100000\n68638 100000\n86903 100000\n52361 78605\n12768 19224\n15975 24070\n28375 42721\n931 1391\n78525 100000\n59005 88516\n67429 100000\n54720 82091\n49630 74530\n1129 1685\n17655 26603\n68304 100000\n82460 100000\n86645 100000\n34332 51679\n32499 48940\n57439 86172\n8932 13418\n79822 100000\n93093 100000\n59768 89664\n24444 36841\n44893 67470\n54561 81863\n1845 2783\n88785 100000\n61290 91963\n39064 58763\n95384 100000\n72244 100000\n47450 71279\n85231 100000\n55561 83374\n19017 28648\n30087 45331\n96853 100000\n93237 100000\n18219 27454\n21259 32042\n2814 4268\n22970 34612\n20065 30222\n40342 60676\n46538 69909\n59933 89917\n70352 100000\n98329 100000\n10275 15457\n54550 81848\n57924 86891\n70029 100000\n54007 81039\n88222 100000\n80321 100000\n84030 100000\n6531 9806\n67308 100000\n39473 59386\n26648 40144\n40167 60414\n29508 44434\n12774 19234\n18832 28379\n19839 29874\n62491 93734\n84035 100000\n81887 100000\n73663 100000\n57245 85880\n18203 27430\n36238 54499\n55702 83583\n29361 44216\n13601 20478\n33532 50481\n44947 67547\n33935 51094\n13265 19981\n33848 50961\n50942 76475\n75661 100000\n40502 60916\n80958 100000\n35100 52806\n53613 80456\n38767 58320\n84138 100000\n75235 100000\n82929 100000\n70021 100000\n10181 15314\n22464 33852\n44369 66682\n71051 100000\n8934 13421\n88337 100000\n71725 100000\n3310 5006\n11114 16730\n84572 100000\n93424 100000\n86422 100000\n82542 100000\n69921 100000\n75909 100000\n48936 73475\n28103 42314\n20429 30760\n30449 45870\n30033 45244\n479 704\n24238 36530\n99790 100000\n79138 100000\n99370 100000\n66184 99275\n54400 81619\n64623 96924\n77637 100000\n12336 18554\n69665 100000\n22279 33583\n85063 100000\n13108 19746\n72090 100000\n19670 29625\n79373 100000\n11578 17422\n78696 100000\n96399 100000\n57179 85778\n50574 75923\n19993 30114\n56377 84577\n47134 70814\n88034 100000\n63151 94713\n17626 26561\n9353 14056\n8870 13324\n13104 19739\n96437 100000\n5471 8216\n37246 56019\n92314 100000\n64701 97040\n65397 98088\n65354 98020\n42768 64291\n6153 9239\n92941 100000\n15421 23234\n94241 100000\n81264 100000\n24661 37161\n74645 100000\n35890 53977\n13431 20232\n1903 2869\n59878 89835\n29288 44106\n63089 94618\n68043 100000\n88119 100000\n71525 100000\n49294 74015\n2866 4343\n9999 15042\n22164 33410\n53300 80014\n93590 100000\n43582 65510\n2891 4385\n6339 9520\n33061 49790\n63421 95121\n21762 32803\n73904 100000\n93969 100000\n79296 100000\n58998 88508\n23831 35922\n18333 27627\n15157 22826\n2334 3527\n45591 68489\n11580 17425\n36227 54481\n56 81\n73412 100000\n93301 100000\n67310 100000\n66139 99206\n45648 68578\n20844 31413\n56544 84825\n62662 93991\n6231 9359\n29345 44192\n96629 100000\n72940 100000\n55617 83459\n52046 78127\n65396 98087\n36627 55097\n80586 100000\n33961 51132\n54174 81280\n63178 94757\n45843 68866\n8749 13140\n41153 61904\n9488 14264\n67670 100000\n82386 100000\n37248 56022\n71810 100000\n24483 36894\n59898 89866\n26893 40515\n51991 78048\n50335 75569\n9427 14171\n3572 5391\n84116 100000\n25321 38160\n18181 27393\n53675 80551\n83655 100000\n28512 42927\n93526 100000\n1553 2332\n21165 31901\n27327 41154\n60745 91150\n46523 69890\n56380 84581\n11093 16698\n16550 24927\n5474 8220\n83285 100000\n14023 21119\n64860 97281\n16494 24844\n16102 24266\n94557 100000\n3405 5149\n69081 100000\n63684 95528\n54647 81987\n81957 100000\n37133 55848\n383 560\n47221 70938\n74251 100000\n75965 100000\n52928 79452\n99609 100000\n62242 93372\n12026 18086\n29429 44314\n23559 35512\n15730 23695\n73855 100000\n54815 82238\n7099 10657\n93341 100000\n75806 100000\n2260 3421\n18063 27212\n9765 14679\n36195 54431\n40505 60921\n97745 100000\n31039 46740\n63724 95589\n8593 12903\n45641 68570\n35417 53280\n83029 100000\n77416 100000\n82112 100000\n7681 11543\n84262 100000\n71357 100000\n62173 93272\n66452 99673\n63546 95312\n53804 80744\n4903 7394\n49190 73862\n6181 9283\n5637 8462\n60217 90346\n90397 100000\n55805 83730\n85725 100000\n85775 100000\n76569 100000\n15905 23967\n52356 78599\n4296 6476\n57832 86748\n24571 37023\n80399 100000\n54751 82138\n5334 8010\n4071 6143\n82986 100000\n87553 100000\n74199 100000\n59264 88902\n89031 100000\n64030 96043\n83983 100000\n922 1379\n85223 100000\n37430 56291\n55110 82689\n3401 5143\n51625 77494\n86823 100000\n90263 100000\n59294 88951\n22367 33709\n54613 81938\n97619 100000\n49589 74472\n1371 2059\n74588 100000\n19644 29586\n92917 100000\n95961 100000\n48386 72658\n33951 51119\n84034 100000\n69873 100000\n30956 46614\n92612 100000\n1112 1654\n31609 47607\n34171 51438\n95061 100000\n74326 100000\n59467 89213\n97958 100000\n61668 92517\n49609 74501\n48111 72247\n65011 97505\n97 145\n70143 100000\n34272 51591\n3864 5825\n4847 7310\n55095 82663\n88442 100000\n56974 85470\n19367 29172\n17593 26511\n54137 81221\n30976 46646\n12083 18175\n47242 70968\n14912 22456\n82086 100000\n21720 32737\n26069 39280\n15334 23100\n97363 100000\n86850 100000\n4485 6762\n8021 12050\n262 372\n82638 100000\n54876 82329\n35756 53778\n43154 64867\n62527 93784\n91905 100000\n41480 62389\n55709 83593\n1121 1671\n30110 45365\n89154 100000\n96412 100000\n16338 24617\n54198 81320\n55627 83472\n47510 71371\n600 896\n49801 74777\n44461 66816\n52328 78554\n24170 36430\n531 785\n27053 40744\n38970 58624\n16987 25588\n67000 100000\n82856 100000\n82503 100000\n68575 100000\n28446 42829\n93284 100000\n59090 88647\n77581 100000\n76974 100000\n63811 95719\n41197 61973\n21929 33063\n86460 100000\n72928 100000\n88328 100000\n41395 62264\n693 1037\n75942 100000\n66226 99336\n47706 71654\n20093 30264\n49732 74676\n55426 83178\n81470 100000\n48611 72986\n54897 82362\n13531 20371\n2135 3231\n10226 15386\n48576 72939\n27970 42105\n48026 72132\n57125 85698\n95411 100000\n85144 100000\n92515 100000\n67904 100000\n63341 95000\n3069 4643\n73393 100000\n14082 21208\n67843 100000\n11139 16767\n20647 31099\n2914 4415\n29940 45098\n57011 85527\n74026 100000\n87066 100000\n61180 91793\n82469 100000\n28591 43047\n14450 21751\n27537 41470\n44145 66345\n72218 100000\n1630 2454\n23853 35955\n48174 72339\n86854 100000\n96396 100000\n44966 67578\n62704 94051\n71547 100000\n68836 100000\n21557 32500\n24737 37286\n93883 100000\n25227 38018\n73423 100000\n1470 2213\n1043 1557\n74567 100000\n49940 74978\n55899 83868\n81182 100000\n56328 84501\n25169 37929\n36527 54937\n43109 64803\n27833 41909\n87907 100000\n92469 100000\n43281 65067\n2974 4498\n11609 17466\n16184 24388\n19184 28899\n44734 67235\n14711 22145\n93983 100000\n72351 100000\n33884 51021\n96814 100000\n6970 10462\n47269 71008\n11979 18015\n43721 65710\n76285 100000\n50359 75600\n18533 27934\n28779 43336\n79453 100000\n72224 100000\n22030 33213\n45905 68954\n83578 100000\n43342 65158\n12506 18814\n52233 78411\n34594 52057\n76256 100000\n65718 98565\n43444 65308\n28193 42452\n50682 76087\n52542 78882\n27817 41887\n86147 100000\n70130 100000\n65950 98913\n32735 49282\n59649 89483\n81409 100000\n86552 100000\n69125 100000\n48081 72210\n92118 100000\n74814 100000\n12475 18766\n38430 57819\n95316 100000\n27769 41815\n97189 100000\n41507 62426\n39769 59827\n88552 100000\n72901 100000\n60833 91275\n94911 100000\n98137 100000\n64949 97409\n69282 100000\n29353 44204\n46997 70602\n56694 85053\n91863 100000\n73474 100000\n38776 58333\n10484 15766\n59324 88994\n62223 93347\n31038 46738\n33149 49921\n42191 63439\n63353 95019\n12580 18924\n85912 100000\n15906 23968\n73525 100000\n48811 73290\n16031 24155\n51157 76790\n91686 100000\n46911 70463\n49949 74990\n57488 86234\n61139 91733\n44184 66401\n6162 9251\n66154 99228\n18263 27521\n17308 26081\n78202 100000\n78300 100000\n56520 84789\n1604 2413\n86891 100000\n53911 80898\n82965 100000\n63307 94952\n60934 91420\n60275 90430\n39496 59420\n76952 100000\n36422 54782\n26466 39879\n69519 100000\n54597 81916\n83325 100000\n78941 100000\n73492 100000\n34679 52187\n7944 11936\n93454 100000\n52200 78366\n63108 94647\n61185 91800\n95197 100000\n82947 100000\n98498 100000\n89876 100000\n38315 57655\n61129 91717\n88016 100000\n35208 52969\n7373 11078\n54301 81470\n37455 56326\n36933 55547\n10329 15534\n3157 4773\n94113 100000\n68678 100000\n59514 89283\n7266 10912\n61380 92092\n92260 100000\n27100 40814\n68920 100000\n81268 100000\n3832 5773\n60550 90845\n4825 7273\n99803 100000\n9654 14514\n236 337\n26459 39867\n20428 30759\n96759 100000\n39740 59786\n44569 66980\n78309 100000\n23386 35242\n40642 61126\n32736 49284\n34302 51635\n57984 86984\n24610 37086\n63262 94884\n18916 28498\n60995 91514\n73970 100000\n89695 100000\n10470 15748\n24474 36883\n58115 87178\n16447 24773\n86600 100000\n80682 100000\n36915 55519\n79731 100000\n76802 100000\n35537 53448\n10694 16085\n4839 7297\n42953 64569\n32513 48961\n72070 100000\n5459 8198\n29943 45104\n18385 27707\n71413 100000\n32514 48963\n30767 46343\n46040 69160\n56921 85392\n96778 100000\n79332 100000\n98109 100000\n26800 40370\n73822 100000\n21033 31695\n26206 39481\n51919 77938\n76287 100000\n11351 17082\n66646 99955\n50696 76107\n43936 66035\n35851 53922\n50203 75373\n96619 100000\n45190 67915\n89428 100000\n66970 100000\n70798 100000\n74453 100000\n37339 56152\n68105 100000\n98986 100000\n1124 1676\n83524 100000\n43169 64889\n86341 100000\n16722 25183\n1383 2077\n71094 100000\n49268 73981\n7758 11655\n98271 100000\n66233 99349\n47541 71417\n49411 74195\n14279 21488\n97109 100000\n42136 63363\n54490 81762\n38326 57669\n55894 83860\n57962 86950\n23655 35654\n77704 100000\n94838 100000\n46625 70038\n32991 49683\n95758 100000\n31246 47055\n7676 11535\n89441 100000\n87384 100000\n60792 91223\n29064 43768\n29450 44345\n28019 42175\n91907 100000\n8637 12968\n65174 97754\n49498 74329\n47157 70848\n67689 100000\n66909 100000\n88287 100000\n98563 100000\n85226 100000\n38836 58429\n53690 80575\n61629 92462\n38513 57940\n84310 100000\n35614 53560\n59406 89121\n52727 79148\n71584 100000\n29466 44370\n21195 31947\n81162 100000\n32186 48475\n42457 63839\n99264 100000\n81087 100000\n28111 42327\n81505 100000\n42878 64456\n70540 100000\n17612 26540\n84369 100000\n64086 96124\n93356 100000\n97156 100000\n91064 100000\n65634 98451\n26285 39600\n41421 62302\n77011 100000\n15908 23972\n85730 100000\n56405 84620\n83725 100000\n59853 89801\n71223 100000\n39072 58777\n52362 78607\n39666 59677\n62114 93180\n99354 100000\n64313 96459\n21584 32538\n25796 38892\n6227 9355\n22864 34447\n21978 33138\n5575 8367\n99362 100000\n69983 100000\n85588 100000\n80445 100000\n85248 100000\n75177 100000\n61416 92149\n69400 100000\n56188 84303\n95450 100000\n57886 86829\n82601 100000\n72388 100000\n75542 100000\n41256 62050\n33167 49945\n40917 61536\n67669 100000\n63936 95899\n84694 100000\n61160 91764\n82915 100000\n7658 11508\n80271 100000\n80088 100000\n36257 54530\n53112 79736\n25950 39114\n66892 100000\n25799 38896\n92186 100000\n80655 100000\n96089 100000\n39478 59393\n39687 59709\n99585 100000\n48649 73046\n1412 2120\n68130 100000\n45281 68049\n40399 60762\n1865 2813\n28353 42687\n69415 100000\n69639 100000\n1405 2108\n53783 80707\n45649 68579\n38010 57178\n35973 54101\n25302 38131\n50485 75789\n2184 3309\n13867 20881\n18907 28486\n50212 75386\n42048 63231\n51689 77592\n4528 6826\n79438 100000\n77691 100000\n78761 100000\n9790 14717\n84022 100000\n69087 100000\n45206 67941\n38588 58053\n43338 65152\n50111 75236\n6466 9710\n52373 78621\n80997 100000\n115 169\n50338 75572\n20483 30844\n66915 100000\n76117 100000\n97306 100000\n91221 100000\n60299 90464\n63056 94568\n72913 100000\n53463 80244\n89183 100000\n19417 29245\n62999 94477\n29687 44716\n7924 11906\n69218 100000\n86659 100000\n49437 74235\n50005 75069\n89674 100000\n46127 69291\n32296 48642\n23130 34858\n49155 73807\n79114 100000\n16351 24638\n11070 16660\n65926 98877\n22450 33831\n19902 29975\n58865 88304\n9062 13616\n51518 77327\n56703 85067\n20469 30821\n85298 100000\n41573 62521\n61348 92047\n21890 33003\n3193 4830\n55008 82532\n3446 5211\n1322 1979\n27090 40797\n45457 68303\n26391 39761\n84960 100000\n56100 84170\n69243 100000\n2282 3453\n1937 2923\n16771 25255\n89979 100000\n97322 100000\n88365 100000\n56495 84754\n97507 100000\n757 1137\n70663 100000\n73598 100000\n13667 20577\n24018 36207\n79187 100000\n63555 95325\n76006 100000\n12034 18096\n43450 65315\n45879 68918\n7505 11281\n39791 59862\n68999 100000\n31605 47599\n44671 67137\n13923 20967\n69253 100000\n37879 56979\n27440 41320\n73776 100000\n29708 44746\n47774 71757\n12072 18158\n68458 100000\n90932 100000\n24332 36670\n25915 39066\n67700 100000\n66425 99632\n71035 100000\n55925 83905\n90601 100000\n65026 97530\n13096 19726\n34873 52466\n12087 18181\n74811 100000\n82340 100000\n15106 22748\n14713 22148\n81551 100000\n73347 100000\n43497 65383\n45972 69060\n49885 74897\n4681 7059\n79085 100000\n97321 100000\n63028 94519\n45918 68971\n64663 96983\n59765 89659\n93680 100000\n44636 67085\n59594 89405\n11273 16962\n38742 58278\n2532 3831\n98967 100000\n92954 100000\n52257 78446\n52416 78689\n30069 45301\n90973 100000\n77908 100000\n19318 29104\n74012 100000\n53425 80193\n94994 100000\n46671 70105\n36318 54626\n72806 100000\n82169 100000\n99727 100000\n84427 100000\n50013 75081\n93826 100000\n41235 62025\n84560 100000\n1992 3009\n67302 100000\n91216 100000\n82534 100000\n18364 27676\n78533 100000\n46180 69371\n35365 53198\n27481 41382\n94230 100000\n51630 77502\n74715 100000\n91482 100000\n98358 100000\n88501 100000\n45599 68504\n5968 8970\n50422 75696\n16457 24787\n14984 22566\n26160 39418\n38625 58103\n49325 74068\n35086 52783\n29555 44509\n27578 41530\n91460 100000\n93565 100000\n4675 7051\n52228 78404\n68892 100000\n6859 10298\n17744 26740\n47964 72040\n48596 72967\n46913 70465\n95985 100000\n59405 89119\n13139 19794\n17813 26839\n85427 100000\n2599 3932\n10213 15365\n76629 100000\n5824 8748\n23419 35291\n90531 100000\n56284 84439\n58182 87274\n25135 37882\n40183 60438\n10937 16459\n66280 99420\n86526 100000\n13224 19918\n42089 63290\n77475 100000\n54358 81559\n52026 78098\n56970 85464\n7632 11468\n46354 69639\n92620 100000\n43629 65585\n25084 37810\n12197 18350\n75978 100000\n12231 18401\n71317 100000\n85952 100000\n29659 44670\n62816 94213\n24569 37021\n1900 2864\n72593 100000\n88618 100000\n82721 100000\n11092 16697\n34254 51562\n37999 57159\n26177 39442\n38142 57387\n42119 63334\n47858 71882\n11845 17820\n77633 100000\n70456 100000\n50451 75738\n16513 24875\n96347 100000\n43425 65280\n91241 100000\n51513 77318\n28592 43049\n54098 81166\n91944 100000\n1135 1694\n66578 99860\n90411 100000\n10822 16278\n8007 12028\n2303 3487\n27636 41613\n90423 100000\n79804 100000\n2967 4488\n52202 78368\n89630 100000\n97870 100000\n65747 98610\n71535 100000\n11083 16683\n14101 21236\n82010 100000\n77830 100000\n88559 100000\n42150 63381\n51579 77420\n38035 57221\n61753 92644\n1407 2112\n61948 92930\n43758 65763\n28852 43445\n29066 43771\n65732 98587\n2436 3681\n21825 32898\n80315 100000\n69247 100000\n50075 75176\n14007 21094\n96008 100000\n32475 48903\n54510 81793\n74630 100000\n5783 8683\n94887 100000\n72946 100000\n38712 58230\n83850 100000\n57641 86455\n56179 84289\n15971 24063\n52641 79024\n54919 82397\n37194 55940\n29514 44446\n46766 70252\n21712 32726\n25012 37698\n1254 1878\n46294 69551\n69933 100000\n36243 54507\n66344 99513\n52591 78959\n60652 91001\n39796 59870\n19263 29018\n41925 63047\n88057 100000\n91980 100000\n26482 39901\n87064 100000\n67597 100000\n85090 100000\n29407 44280\n14202 21380\n22031 33214\n28473 42870\n79310 100000\n83302 100000\n4644 7003\n92911 100000\n65188 97778\n7374 11079\n40717 61238\n2621 3965\n70648 100000\n96620 100000\n14953 22520\n15305 23051\n29988 45176\n19992 30113\n59251 88882\n82529 100000\n88225 100000\n62642 93957\n16318 24589\n86009 100000\n52012 78078\n40470 60870\n21571 32523\n38912 58542\n44237 66480\n93006 100000\n15024 22623\n1355 2032\n44037 66184\n31364 47236\n65153 97721\n44475 66837\n84950 100000\n47692 71633\n92214 100000\n96481 100000\n69656 100000\n87593 100000\n61238 91879\n13424 20221\n26591 40059\n55963 83961\n99798 100000\n45089 67765\n63354 95020\n10724 16131\n22623 34083\n20235 30470\n26124 39365\n53908 80893\n56633 84958\n2949 4461\n14357 21605\n22565 34000\n91501 100000\n2625 3971\n64988 97467\n77486 100000\n45297 68074\n15160 22831\n97531 100000\n11753 17683\n63709 95567\n26959 40612\n8349 12533\n64261 96381\n44477 66841\n5809 8725\n29906 45046\n82588 100000\n15854 23896\n66396 99589\n93134 100000\n74617 100000\n92168 100000\n32292 48636\n12502 18808\n90631 100000\n9900 14883\n55922 83900\n89327 100000\n64385 96569\n80035 100000\n89551 100000\n99371 100000\n95536 100000\n11603 17459\n90763 100000\n62624 93929\n62426 93640\n18949 28547\n23475 35378\n46312 69577\n37131 55846\n1064 1590\n7001 10511\n9241 13885\n38458 57860\n23009 34676\n29271 44078\n76029 100000\n80729 100000\n81724 100000\n75352 100000\n32893 49527\n78108 100000\n87350 100000\n66932 100000\n78945 100000\n65314 97962\n43792 65817\n54199 81321\n29221 44004\n55510 83299\n2557 3868\n52952 79491\n81592 100000\n69514 100000\n55317 83006\n66463 99690\n42474 63865\n87019 100000\n83723 100000\n25625 38630\n99827 100000\n40301 60614\n34879 52476\n62460 93687\n4556 6871\n76488 100000\n8635 12964\n91347 100000\n36059 54228\n19576 29482\n64546 96811\n14056 21169\n20113 30291\n52532 78864\n59634 89461\n72557 100000\n48359 72620\n35024 52687\n38366 57725\n87918 100000\n46269 69509\n77673 100000\n24033 36230\n81788 100000\n56751 85136\n82437 100000\n64215 96314\n15869 23914\n36373 54709\n95071 100000\n7938 11926\n43571 65495\n61510 92282\n84507 100000\n6543 9821\n2702 4083\n77892 100000\n7255 10896\n11348 17079\n80832 100000\n21091 31785\n11194 16845\n7388 11102\n69269 100000\n96673 100000\n51956 77994\n31381 47262\n90884 100000\n38756 58301\n53793 80725\n1122 1673\n86689 100000\n40796 61361\n57454 86192\n67933 100000\n55621 83465\n27550 41489\n68461 100000\n27317 41140\n32919 49568\n43301 65098\n75295 100000\n25986 39161\n35263 53045\n67662 100000\n9152 13750\n62291 93443\n84875 100000\n84158 100000\n2941 4451\n7985 11995\n19876 29935\n92357 100000\n94918 100000\n49571 74442\n91405 100000\n72141 100000\n60768 91188\n39967 60115\n75835 100000\n55878 83832\n56393 84602\n19320 29108\n82690 100000\n4333 6536\n69201 100000\n29201 43977\n88418 100000\n90016 100000\n65082 97610\n23017 34687\n47058 70700\n53596 80432\n41245 62039\n88908 100000\n83245 100000\n46767 70253\n4852 7317\n50006 75070\n88257 100000\n78339 100000\n5252 7894\n86410 100000\n45668 68608\n46901 70448\n9760 14670\n28424 42795\n56180 84290\n25243 38043\n69239 100000\n78940 100000\n84176 100000\n91764 100000\n30444 45863\n77541 100000\n53563 80385\n11086 16688\n98187 100000\n62705 94053\n67212 100000\n3689 5566\n82354 100000\n59116 88686\n86134 100000\n18965 28568\n31303 47146\n58808 88219\n85104 100000\n71456 100000\n5198 7820\n63838 95761\n58253 87378\n94185 100000\n70830 100000\n12624 18993\n17168 25867\n41373 62232\n57097 85655\n39433 59326\n77450 100000\n37174 55910\n14833 22330\n4628 6980\n69246 100000\n15196 22883\n93092 100000\n58311 87464\n70187 100000\n6620 9933\n5331 8006\n60516 90794\n14539 21887\n38883 58497\n6161 9250\n74414 100000\n98679 100000\n43717 65704\n89815 100000\n49644 74549\n4404 6640\n51163 76800\n78482 100000\n60980 91492\n65702 98546\n38463 57865\n72675 100000\n16552 24930\n3606 5443\n48809 73287\n72585 100000\n2615 3956\n79894 100000\n62101 93159\n7988 12000\n50624 76004\n87698 100000\n1529 2294\n61768 92666\n91334 100000\n64604 96896\n79549 100000\n18221 27458\n8571 12868\n84817 100000\n50907 76428\n11344 17073\n28385 42737\n65199 97796\n50318 75543\n775 1162\n91756 100000\n50811 76280\n64751 97115\n15648 23576\n54505 81786\n6756 10142\n4843 7305\n94774 100000\n83404 100000\n72981 100000\n85404 100000\n80290 100000\n70310 100000\n98468 100000\n21104 31806\n27582 41534\n27618 41589\n59773 89671\n59866 89819\n12356 18585\n93990 100000\n64428 96634\n76858 100000\n48427 72718\n68672 100000\n41888 62990\n82714 100000\n70079 100000\n45337 68134\n5393 8097\n96133 100000\n62852 94261\n76621 100000\n4454 6714\n14981 22562\n76253 100000\n78388 100000\n29108 43833\n3120 4722\n39627 59614\n31541 47507\n4417 6659\n94008 100000\n23724 35758\n28054 42237\n98145 100000\n51080 76674\n36542 54961\n86726 100000\n89240 100000\n9008 13535\n71363 100000\n28406 42769\n95458 100000\n14032 21133\n59896 89863\n63690 95538\n5702 8566\n85536 100000\n17005 25616\n79509 100000\n57046 85578\n1351 2025\n42709 64210\n29217 43998\n36870 55452\n19090 28752\n43669 65638\n70875 100000\n86166 100000\n53995 81023\n77882 100000\n77374 100000\n427 631\n18084 27243\n55514 83305\n76394 100000\n11759 17690\n70874 100000\n80945 100000\n66164 99246\n53832 80783\n71359 100000\n48741 73187\n32542 49005\n1264 1893\n71113 100000\n76205 100000\n97765 100000\n10714 16116\n97401 100000\n31533 47494\n30764 46339\n37112 55815\n25690 38731\n2579 3903\n46351 69633\n18427 27770\n3140 4750\n60709 91090\n76646 100000\n92860 100000\n15653 23585\n89662 100000\n39391 59267\n123 181\n64211 96309\n4576 6904\n93265 100000\n12287 18485\n67520 100000\n83454 100000\n12544 18872\n18688 28168\n60199 90320\n34569 52020\n66829 100000\n62971 94437\n10104 15199\n9390 14114\n98037 100000\n12570 18909\n10829 16287\n72420 100000\n46084 69225\n23975 36134\n55550 83357\n65730 98585\n41810 62875\n28553 42987\n66244 99365\n8096 12162\n22462 33850\n40557 61003\n4386 6613\n69170 100000\n70693 100000\n89490 100000\n18350 27654\n12352 18578\n27826 41899\n88230 100000\n44960 67568\n32709 49244\n50693 76103\n56771 85162\n33541 50495\n57032 85557\n92622 100000\n52837 79314\n76840 100000\n71168 100000\n61225 91861\n48826 73313\n3899 5880\n91671 100000\n81158 100000\n34985 52628\n84207 100000\n83545 100000\n1478 2222\n86039 100000\n59060 88601\n96071 100000\n28658 43145\n25853 38974\n12896 19420\n96075 100000\n23905 36033\n40247 60526\n65443 98164\n42685 64176\n85394 100000\n11038 16611\n66801 100000\n76754 100000\n43209 64953\n68422 100000\n38773 58329\n1506 2259\n97576 100000\n77157 100000\n91695 100000\n93506 100000\n19231 28969\n26159 39417\n63230 94831\n7457 11210\n18258 27513\n75930 100000\n95958 100000\n77112 100000\n98631 100000\n99947 100000\n44144 66343\n16791 25284\n62713 94062\n35087 52785\n93513 100000\n64852 97268\n70333 100000\n75389 100000\n79848 100000\n80129 100000\n7428 11165\n63659 95492\n66203 99303\n21809 32874\n56884 85335\n58411 87608\n92655 100000\n54746 82131\n76748 100000\n95572 100000\n12779 19241\n24172 36433\n82506 100000\n34416 51798\n35213 52976\n53601 80440\n73911 100000\n76215 100000\n56326 84499\n56701 85064\n38290 57614\n80070 100000\n86277 100000\n44885 67459\n10654 16021\n36115 54313\n66542 99807\n18231 27471\n83334 100000\n97489 100000\n17456 26299\n79316 100000\n66219 99324\n1756 2647\n21025 31685\n94473 100000\n73271 100000\n97276 100000\n39710 59740\n14640 22041\n60914 91392\n64760 97130\n93362 100000\n31914 48064\n93578 100000\n92533 100000\n18307 27590\n40527 60955\n30079 45319\n61807 92722\n36291 54584\n36265 54542\n95012 100000\n39939 60073\n52930 79456\n3478 5257\n88781 100000\n72605 100000\n82694 100000\n80871 100000\n63758 95638\n49526 74374\n51749 77686\n1959 2957\n77272 100000\n93439 100000\n82686 100000\n60574 90882\n35134 52854\n56516 84782\n29253 44053\n60206 90332\n60313 90488\n35998 54137\n53822 80768\n13811 20796\n30517 45969\n34114 51355\n70086 100000\n34058 51269\n75446 100000\n11336 17062\n65624 98436\n63626 95442\n73853 100000\n88370 100000\n80829 100000\n60678 91039\n24766 37329\n78883 100000\n29200 43976\n80544 100000\n12324 18538\n5654 8487\n82910 100000\n21655 32646\n41443 62333\n12152 18286\n65588 98379\n87779 100000\n80316 100000\n28383 42734\n66312 99468\n77837 100000\n87381 100000\n29203 43979\n58826 88245\n72567 100000\n8590 12899\n80728 100000\n49850 74846\n77627 100000\n61616 92439\n63932 95895\n56789 85186\n24855 37470\n29646 44649\n2733 4132\n19643 29584\n35966 54091\n5776 8673\n21484 32391\n15009 22601\n45500 68367\n7740 11629\n26382 39748\n77943 100000\n49815 74795\n7301 10965\n17924 27006\n53828 80777\n33698 50735\n60265 90417\n42148 63379\n18793 28320\n39905 60027\n29614 44602\n28565 43006\n7761 11659\n21800 32861\n87533 100000\n63711 95569\n65127 97677\n598 892\n10666 16039\n77003 100000\n55948 83937\n46962 70547\n23146 34884\n79522 100000\n88103 100000\n18366 27679\n17366 26160\n53332 80059\n73133 100000\n94793 100000\n54841 82275\n35529 53437\n75392 100000\n88834 100000\n51281 76973\n7929 11915\n20537 30925\n98376 100000\n34028 51228\n83716 100000\n59220 88833\n92510 100000\n28836 43424\n65312 97958\n15025 22624\n20446 30790\n23867 35975\n52779 79227\n64938 97393\n88195 100000\n20876 31458\n20398 30713\n61147 91744\n44383 66705\n92459 100000\n48891 73403\n68320 100000\n69209 100000\n7238 10872\n28616 43085\n98032 100000\n89946 100000\n33904 51047\n30274 45612\n93367 100000\n92257 100000\n8013 12036\n58460 87678\n16692 25143\n76086 100000\n62709 94058\n99347 100000\n76761 100000\n86138 100000\n8199 12318\n10906 16409\n39795 59868\n87769 100000\n40885 61495\n53394 80147\n98649 100000\n86594 100000\n27787 41843\n22001 33170\n69623 100000\n22515 33926\n20025 30162\n33509 50447\n10220 15377\n34749 52288\n76206 100000\n80893 100000\n66395 99588\n28206 42471\n82415 100000\n26438 39834\n50963 76504\n24638 37127\n34257 51566\n29737 44793\n20564 30968\n6095 9149\n91418 100000\n72518 100000\n68967 100000\n24223 36507\n79946 100000\n32625 49128\n21272 32066\n21067 31748\n67708 100000\n59914 89891\n85506 100000\n63266 94888\n1365 2047\n38496 57914\n35572 53494\n97208 100000\n66106 99151\n76530 100000\n95400 100000\n3554 5365\n59992 90002\n50662 76060\n22361 33699\n44592 67018\n88281 100000\n99769 100000\n5348 8034\n46221 69433\n61151 91750\n72602 100000\n44834 67387\n68328 100000\n52178 78330\n53096 79714\n46134 69304\n52823 79294\n57543 86317\n73670 100000\n7979 11984\n97695 100000\n61496 92264\n57627 86435\n97567 100000\n65066 97585\n4757 7175\n76018 100000\n93475 100000\n50187 75352\n57248 85885\n63583 95370\n34174 51443\n22773 34310\n15885 23937\n73669 100000\n561 834\n81840 100000\n15332 23096\n80487 100000\n37107 55807\n27073 40771\n95957 100000\n36578 55022\n65731 98586\n46731 70199\n8722 13098\n4866 7337\n99046 100000\n87305 100000\n37958 57097\n5986 8995\n32620 49120\n73608 100000\n68660 100000\n95589 100000\n29949 45115\n58995 88504\n87470 100000\n99195 100000\n22254 33547\n52386 78641\n51627 77497\n31058 46767\n32412 48807\n49617 74512\n32540 49001\n75410 100000\n73272 100000\n81457 100000\n3766 5683\n5202 7826\n46853 70378\n10833 16293\n17148 25837\n98486 100000\n30125 45389\n9112 13691\n77413 100000\n14420 21705\n44770 67292\n74232 100000\n11563 17403\n75297 100000\n69533 100000\n48436 72731\n14010 21098\n78602 100000\n97596 100000\n6843 10274\n47608 71514\n41680 62683\n57135 85711\n4057 6122\n98400 100000\n97518 100000\n23977 36138\n43898 65970\n84020 100000\n86269 100000\n40970 61620\n6991 10496\n85623 100000\n13348 20107\n16252 24493\n69182 100000\n81870 100000\n64074 96103\n9583 14409\n81202 100000\n28283 42588\n90437 100000\n44608 67042\n78813 100000\n45343 68143\n48561 72921\n66190 99284\n99610 100000\n82763 100000\n92189 100000\n33318 50170\n70939 100000\n50557 75900\n36205 54448\n12411 18668\n38847 58445\n44242 66487\n66284 99427\n3654 5515\n52599 78969\n49570 74441\n19355 29156\n1794 2707\n39973 60125\n54802 82220\n74097 100000\n30331 45695\n60318 90496\n79234 100000\n9195 13814\n18825 28368\n25959 39126\n11303 17010\n52571 78928\n65871 98787\n40509 60928\n7781 11687\n4806 7247\n21289 32094\n71728 100000\n24143 36390\n84148 100000\n47390 71188\n81768 100000\n76030 100000\n34457 51859\n64643 96952\n96656 100000\n51879 77882\n55024 82554\n23548 35495\n47226 70946\n5919 8900\n28724 43249\n40086 60294\n23235 35017\n72032 100000\n55156 82761\n6842 10272\n22577 34014\n1345 2017\n20729 31232\n64069 96094\n4370 6588\n57964 86953\n24282 36598\n97351 100000\n59819 89747\n68772 100000\n44407 66740\n43662 65629\n72581 100000\n81719 100000\n43555 65475\n10166 15292\n75306 100000\n53504 80300\n80625 100000\n71702 100000\n31581 47564\n57866 86800\n7435 11176\n26251 39549\n53089 79701\n25509 38449\n12171 18314\n97340 100000\n69572 100000\n45872 68908\n97702 100000\n60009 90029\n84722 100000\n96285 100000\n50280 75488\n80642 100000\n59667 89508\n57800 86704\n84366 100000\n24433 36824\n35840 53904\n42573 64009\n99065 100000\n38681 58185\n5792 8696\n8573 12872\n47537 71412\n524 774\n78691 100000\n23261 35056\n51927 77950\n89801 100000\n33908 51053\n19202 28924\n40569 61019\n2256 3416\n78011 100000\n66506 99753\n3699 5582\n87645 100000\n15227 22929\n17254 26004\n5212 7840\n53653 80520\n77902 100000\n24700 37225\n83309 100000\n50101 75218\n87692 100000\n58528 87777\n80520 100000\n38971 58626\n37731 56745\n38188 57456\n19930 30018\n1841 2776\n14967 22542\n94471 100000\n41376 62236\n63158 94724\n99566 100000\n13223 19917\n21185 31933\n1002 1497\n42330 63644\n34883 52480\n61939 92919\n76589 100000\n74390 100000\n6960 10448\n65003 97491\n50767 76212\n17264 26017\n81866 100000\n76683 100000\n86955 100000\n82159 100000\n85958 100000\n20725 31226\n93105 100000\n55431 83184\n2204 3339\n38050 57243\n95894 100000\n31599 47589\n13451 20259\n92522 100000\n50782 76237\n92790 100000\n46263 69499\n3558 5371\n12300 18505\n90435 100000\n19702 29674\n85449 100000\n39318 59155\n11057 16638\n26826 40408\n26476 39892\n97804 100000\n43326 65131\n67245 100000\n34392 51763\n27605 41570\n93070 100000\n85249 100000\n92994 100000\n11318 17035\n63912 95866\n73837 100000\n91860 100000\n97375 100000\n67615 100000\n14509 21843\n46270 69510\n45085 67759\n98586 100000\n84849 100000\n96943 100000\n939 1402\n51196 76847\n7643 11483\n74661 100000\n89723 100000\n83073 100000\n44905 67486\n53243 79929\n2734 4133\n33200 49993\n34907 52515\n76463 100000\n30320 45678\n79660 100000\n7723 11604\n78447 100000\n78354 100000\n21613 32582\n8843 13284\n2820 4277\n36032 54187\n45033 67677\n24402 36778\n97234 100000\n56174 84284\n39843 59937\n24375 36736\n68026 100000\n33404 50289\n63128 94677\n33653 50668\n27806 41871\n53811 80754\n71267 100000\n81432 100000\n78789 100000\n81274 100000\n29369 44228\n26744 40287\n49854 74853\n18554 27969\n56110 84185\n93058 100000\n74631 100000\n32614 49112\n92452 100000\n46858 70388\n54922 82401\n57757 86636\n33772 50846\n58102 87159\n66871 100000\n74690 100000\n98920 100000\n91305 100000\n98640 100000\n34707 52226\n70992 100000\n43239 64999\n49998 75059\n31864 47991\n36165 54389\n65316 97965\n5681 8529\n32191 48483\n21867 32965\n11174 16813\n88899 100000\n61854 92792\n40971 61621\n19777 29779\n96607 100000\n51225 76889\n18065 27214\n12366 18602\n91269 100000\n47511 71373\n58858 88293\n32230 48543\n29015 43694\n90466 100000\n93436 100000\n1777 2681\n59906 89878\n88395 100000\n94123 100000\n15487 23333\n13782 20752\n15095 22731\n81435 100000\n80430 100000\n46116 69272\n83672 100000\n38240 57534\n28073 42267\n36552 54978\n21044 31712\n73130 100000\n27182 40940\n61693 92554\n59790 89699\n80026 100000\n53640 80499\n16191 24398\n60377 90585\n63325 94978\n11349 17080\n49520 74365\n76956 100000\n71079 100000\n24426 36812\n62124 93195\n10633 15985\n98746 100000\n29822 44920\n68433 100000\n23372 35224\n50657 76051\n73711 100000\n92356 100000\n12079 18168\n5724 8599\n36826 55386\n29773 44845\n48782 73247\n89541 100000\n73072 100000\n32785 49363\n4424 6670\n72988 100000\n904 1351\n10691 16081\n86025 100000\n9520 14312\n87511 100000\n33129 49893\n41838 62918\n50803 76270\n74990 100000\n69077 100000\n25515 38457\n47184 70884\n17489 26348\n48827 73314\n46681 70120\n27136 40869\n46710 70167\n87494 100000\n83115 100000\n29338 44183\n17331 26114\n78526 100000\n86639 100000\n50856 76349\n5145 7741\n37696 56688\n49262 73973\n40213 60479\n45072 67737\n38775 58331\n61300 91980\n4438 6691\n21980 33141\n75165 100000\n97430 100000\n40251 60532\n86318 100000\n52614 78987\n260 369\n93946 100000\n80853 100000\n19573 29477\n87068 100000\n38395 57768\n31803 47897\n38036 57222\n19647 29589\n91623 100000\n73843 100000\n28976 43633\n6820 10237\n25220 38005\n46529 69897\n65424 98133\n77233 100000\n54603 81923\n36985 55626\n69507 100000\n38087 57303\n42287 63582\n96932 100000\n27121 40846\n71680 100000\n90192 100000\n22483 33880\n38083 57295\n54581 81895\n33490 50420\n97831 100000\n64698 97036\n96080 100000\n9369 14078\n73817 100000\n90655 100000\n49918 74945\n9312 13994\n87199 100000\n76441 100000\n71738 100000\n64263 96384\n72982 100000\n54171 81276\n71233 100000\n80993 100000\n20784 31317\n40008 60180\n16452 24780\n96899 100000\n32487 48920\n751 1128\n50343 75579\n60399 90621\n97257 100000\n14244 21440\n85897 100000\n34092 51325\n29386 44252\n39059 58756\n31006 46689\n68380 100000\n15173 22852\n66743 100000\n56934 85410\n50587 75943\n13249 19956\n88058 100000\n74976 100000\n67860 100000\n15380 23173\n11987 18027\n93720 100000\n58172 87259\n62733 94088\n93307 100000\n26432 39822\n50775 76224\n58644 87953\n2879 4365\n7425 11160\n6693 10047\n32165 48442\n61611 92430\n98036 100000\n37768 56804\n12828 19320\n76954 100000\n77803 100000\n85222 100000\n36842 55409\n23293 35102\n89844 100000\n38097 57318\n4250 6408\n33656 50673\n23859 35963\n73908 100000\n72377 100000\n45173 67893\n80745 100000\n89644 100000\n34541 51979\n59731 89607\n20803 31347\n99871 100000\n20160 30363\n91859 100000\n76201 100000\n21170 31909\n90368 100000\n56145 84235\n39269 59075\n81090 100000\n44029 66172\n38364 57721\n68547 100000\n97866 100000\n29444 44337\n17281 26041\n71032 100000\n38444 57843\n1370 2057\n2040 3081\n72506 100000\n3302 4996\n46375 69669\n27111 40831\n16422 24739\n65041 97548\n49473 74288\n71453 100000\n78250 100000\n7697 11563\n70794 100000\n94360 100000\n82543 100000\n16656 25087\n28155 42398\n51742 77676\n56190 84305\n99959 100000\n37130 55844\n39088 58800\n32734 49281\n56114 84190\n12100 18201\n88977 100000\n23846 35943\n28236 42515\n10921 16433\n29406 44279\n91883 100000\n84389 100000\n34695 52210\n36284 54572\n35413 53273\n56227 84361\n29260 44062\n49507 74343\n34466 51872\n88254 100000\n70845 100000\n7003 10514\n73792 100000\n17844 26881\n32396 48783\n63778 95670\n40284 60589\n61366 92071\n53573 80399\n61193 91814\n60535 90824\n3387 5124\n13116 19759\n30394 45787\n44612 67048\n30048 45266\n39030 58716\n78665 100000\n2845 4312\n92428 100000\n31907 48055\n35238 53011\n90472 100000\n83039 100000\n85454 100000\n31268 47088\n34636 52121\n63280 94908\n77968 100000\n25108 37842\n26557 40010\n16000 24107\n11475 17271\n55891 83854\n11722 17640\n68048 100000\n86599 100000\n47098 70761\n25818 38924\n52898 79410\n37362 56188\n17155 25848\n49701 74628\n98599 100000\n65879 98802\n2079 3143\n55548 83354\n65498 98250\n82583 100000\n29207 43985\n92172 100000\n8972 13481\n82004 100000\n80382 100000\n88852 100000\n42994 64627\n38476 57883\n12174 18319\n49245 73947\n27922 42043\n47701 71646\n77149 100000\n82603 100000\n11072 16664\n79777 100000\n87679 100000\n23594 35564\n69450 100000\n16118 24294\n2293 3471\n20330 30609\n2510 3798\n30115 45373\n56608 84921\n43468 65341\n41053 61748\n66108 99153\n76591 100000\n43889 65959\n1311 1965\n2858 4331\n75321 100000\n95770 100000\n35056 52736\n44462 66818\n41094 61810\n16317 24588\n65190 97781\n48728 73168\n17105 25769\n94797 100000\n10914 16422\n44871 67439\n1088 1623\n97903 100000\n71890 100000\n68643 100000\n57986 86987\n82111 100000\n81667 100000\n72798 100000\n14037 21140\n31902 48047\n24522 36951\n74632 100000\n14228 21418\n29963 45139\n29841 44952\n55283 82954\n35856 53932\n52815 79281\n85612 100000\n3816 5750\n2110 3191\n86991 100000\n49640 74543\n43363 65190\n87946 100000\n31322 47172\n24865 37486\n76389 100000\n19586 29498\n51021 76591\n16733 25200\n91571 100000\n12193 18344\n81547 100000\n23765 35820\n41418 62297\n78564 100000\n41160 61916\n9578 14400\n31998 48189\n48702 73127\n39728 59767\n67712 100000\n29485 44401\n99109 100000\n36140 54350\n77276 100000\n6812 10225\n65128 97678\n93011 100000\n14203 21382\n57815 86723\n68041 100000\n86372 100000\n21368 32220\n79563 100000\n74187 100000\n68225 100000\n56713 85083\n63228 94829\n2593 3922\n76979 100000\n50866 76363\n19669 29623\n99064 100000\n92202 100000\n63334 94990\n45959 69039\n92161 100000\n32017 48214\n44115 66299\n18488 27864\n48964 73519\n52358 78601\n74609 100000\n51228 76894\n28397 42755\n6071 9116\n75931 100000\n55267 82929\n52198 78362\n25626 38632\n14270 21476\n22798 34345\n27256 41051\n56729 85107\n45876 68913\n57389 86097\n62597 93888\n27052 40742\n14106 21244\n75874 100000\n73615 100000\n25869 38999\n11911 17920\n41531 62464\n14836 22334\n50561 75905\n60896 91365\n56250 84393\n93972 100000\n33787 50870\n73728 100000\n86301 100000\n52558 78907\n22096 33312\n65306 97950\n54152 81247\n8999 13518\n96967 100000\n15155 22823\n49962 75007\n6324 9500\n9617 14458\n62923 94364\n5533 8303\n62550 93824\n90652 100000\n94882 100000\n22195 33457\n20586 31001\n30796 46381\n96986 100000\n1151 1716\n68267 100000\n44268 66529\n67141 100000\n95064 100000\n86771 100000\n20864 31442\n55660 83524\n71177 100000\n39756 59808\n18451 27806\n54023 81064\n31313 47158\n2655 4012\n31086 46809\n10482 15764\n53999 81028\n32987 49676\n92563 100000\n91201 100000\n48698 73120\n54804 82223\n3750 5661\n81497 100000\n49039 73628\n96631 100000\n19056 28699\n18465 27828\n41648 62632\n95955 100000\n50091 75203\n8413 12629\n65857 98765\n98492 100000\n33979 51156\n72900 100000\n85603 100000\n23700 35724\n99423 100000\n12906 19437\n30671 46203\n64253 96368\n30217 45529\n84718 100000\n99876 100000\n67609 100000\n65138 97695\n79881 100000\n96408 100000\n73463 100000\n33782 50862\n66102 99145\n20284 30543\n48706 73132\n60756 91169\n32294 48639\n60330 90515\n9821 14767\n57828 86742\n39292 59110\n30654 46175\n25641 38653\n38740 58274\n11343 17071\n80063 100000\n48902 73421\n4617 6961\n36820 55377\n87067 100000\n97273 100000\n94716 100000\n91280 100000\n37202 55952\n71657 100000\n26121 39360\n45596 68499\n36715 55219\n33826 50930\n34246 51547\n10152 15270\n96807 100000\n70139 100000\n23892 36014\n65093 97625\n61824 92746\n13891 20921\n20318 30593\n88682 100000\n52743 79172\n34750 52289\n11258 16940\n73276 100000\n48267 72481\n81687 100000\n48941 73482\n94942 100000\n33275 50107\n65739 98596\n33507 50445\n77736 100000\n66008 98998\n24107 36335\n66109 99155\n63494 95230\n35470 53358\n68531 100000\n41047 61740\n50185 75348\n71656 100000\n69176 100000\n42388 63734\n46792 70286\n85890 100000\n423 623\n43395 65241\n65265 97889\n94238 100000\n31065 46777\n50310 75532\n73528 100000\n84623 100000\n88636 100000\n48398 72676\n22805 34356\n9630 14478\n5566 8353\n74336 100000\n81001 100000\n74249 100000\n1976 2981\n25921 39076\n8524 12795\n12488 18786\n76126 100000\n59782 89685\n68895 100000\n14457 21762\n34799 52358\n87921 100000\n98155 100000\n82162 100000\n53430 80202\n30484 45919\n54418 81646\n75107 100000\n33046 49767\n24329 36667\n93164 100000\n74999 100000\n57351 86041\n80281 100000\n82843 100000\n23321 35145\n90360 100000\n12257 18439\n90316 100000\n19452 29297\n15342 23115\n54153 81249\n27038 40723\n60306 90477\n8390 12592\n57408 86125\n97658 100000\n4253 6413\n91497 100000\n35824 53882\n83306 100000\n2353 3557\n17250 25997\n12735 19170\n27140 40873\n91584 100000\n56036 84073\n75817 100000\n60404 90630\n34243 51542\n11772 17713\n10581 15908\n18546 27956\n38641 58126\n96865 100000\n89398 100000\n19088 28749\n95058 100000\n27604 41568\n91741 100000\n34122 51367\n37127 55839\n4331 6534\n72411 100000\n6467 9712\n94211 100000\n6151 9235\n57483 86229\n16922 25488\n49017 73593\n9641 14492\n92210 100000\n3701 5586\n95421 100000\n17190 25903\n45616 68536\n39165 58923\n29205 43982\n79899 100000\n86746 100000\n28207 42472\n77134 100000\n82841 100000\n82679 100000\n97714 100000\n84311 100000\n99437 100000\n46391 69696\n37954 57092\n37350 56169\n17483 26341\n88675 100000\n45950 69025\n4691 7074\n94478 100000\n52506 78820\n65783 98655\n33460 50375\n42438 63811\n60794 91225\n96239 100000\n33756 50821\n99107 100000\n69869 100000\n56704 85069\n80206 100000\n45377 68190\n82013 100000\n49692 74615\n4316 6508\n63317 94967\n40198 60458\n99891 100000\n20678 31146\n89452 100000\n54763 82159\n57295 85959\n13979 21048\n86097 100000\n10370 15600\n66589 99874\n13378 20150\n68588 100000\n70746 100000\n48338 72587\n27763 41806\n37720 56727\n75221 100000\n98871 100000\n3289 4977\n86593 100000\n57206 85816\n37175 55911\n52354 78595\n78532 100000\n77501 100000\n13798 20777\n48682 73098\n37226 55989\n21766 32810\n60144 90239\n2167 3280\n65388 98075\n20856 31430\n8701 13066\n85522 100000\n19983 30099\n64755 97121\n19544 29436\n48566 72926\n32449 48860\n9 12\n23569 35525\n28509 42923\n51761 77703\n45157 67868\n14205 21386\n56363 84554\n52009 78072\n83854 100000\n41377 62237\n89255 100000\n16715 25174\n47684 71621\n97636 100000\n46104 69255\n37984 57137\n6798 10208\n15333 23098\n99773 100000\n16174 24373\n46507 69867\n43243 65005\n42512 63919\n36431 54796\n90221 100000\n43959 66069\n24952 37615\n338 488\n55047 82589\n11608 17465\n22445 33824\n26470 39884\n84154 100000\n3431 5190\n64462 96683\n6188 9293\n69606 100000\n81165 100000\n59675 89518\n86698 100000\n93710 100000\n43996 66127\n5210 7837\n69735 100000\n74541 100000\n39616 59598\n4176 6300\n51027 76598\n47779 71764\n79547 100000\n81695 100000\n60528 90813\n28148 42385\n5015 7551\n8592 12901\n83314 100000\n24540 36976\n19495 29366\n20437 30774\n94600 100000\n95276 100000\n37386 56226\n91796 100000\n37595 56539\n3360 5085\n75024 100000\n88040 100000\n33712 50758\n54552 81850\n89329 100000\n851 1271\n34265 51578\n69571 100000\n25245 38047\n41831 62907\n80417 100000\n46774 70261\n94580 100000\n36007 54152\n23705 35730\n17300 26070\n77252 100000\n34786 52340\n65408 98104\n38599 58067\n78098 100000\n75617 100000\n59692 89544\n81760 100000\n8922 13402\n24958 37623\n13917 20958\n69562 100000\n94203 100000\n6280 9432\n71320 100000\n1029 1536\n23195 34959\n17102 25765\n22091 33304\n38135 57375\n43168 64887\n23127 34854\n63739 95610\n6635 9959\n42938 64547\n92261 100000\n59902 89871\n33612 50605\n13653 20555\n25211 37991\n99539 100000\n28495 42902\n24139 36386\n13176 19849\n65805 98688\n87943 100000\n56525 84798\n87664 100000\n13768 20733\n67983 100000\n48041 72152\n18218 27452\n6109 9174\n22896 34494\n46930 70494\n76913 100000\n21291 32097\n68361 100000\n64375 96553\n47567 71453\n49180 73847\n1221 1826\n22073 33279\n87240 100000\n98270 100000\n91149 100000\n31841 47954\n21424 32299\n4947 7455\n27880 41979\n77343 100000\n63107 94645\n7351 11046\n55496 83277\n58725 88083\n99382 100000\n27276 41081\n32641 49152\n44366 66677\n64718 97067\n68145 100000\n53512 80311\n26958 40611\n74919 100000\n12620 18989\n50568 75916\n83876 100000\n32570 49050\n19118 28797\n35427 53293\n51575 77415\n67483 100000\n685 1024\n31078 46796\n37992 57149\n97264 100000\n59940 89927\n51741 77675\n65516 98279\n42467 63854\n13464 20278\n67013 100000\n62892 94319\n54461 81714\n14777 22243\n41681 62685\n5822 8745\n94719 100000\n46378 69673\n83884 100000\n79371 100000\n4224 6371\n43761 65767\n58671 87994\n14403 21677\n27208 40980\n83311 100000\n58639 87946\n37218 55977\n11264 16950\n90686 100000\n97610 100000\n58213 87316\n3731 5631\n52630 79008\n93023 100000\n26879 40491\n45815 68826\n39180 58945\n14768 22229\n79882 100000\n82066 100000\n98594 100000\n93878 100000\n95143 100000\n85638 100000\n21208 31965\n48537 72889\n979 1463\n92824 100000\n20543 30935\n68568 100000\n42236 63505\n97119 100000\n98093 100000\n5921 8903\n27288 41098\n65235 97848\n5121 7704\n56223 84355\n27784 41840\n23697 35719\n2912 4412\n32175 48460\n83025 100000\n86633 100000\n17828 26860\n11790 17741\n19887 29953\n33927 51083\n91007 100000\n49590 74474\n33711 50757\n14602 21983\n74793 100000\n26009 39194\n59732 89609\n8622 12945\n6309 9476\n58577 87853\n74044 100000\n59247 88876\n62396 93596\n6965 10455\n73100 100000\n36372 54708\n40359 60702\n88778 100000\n87529 100000\n41322 62155\n30173 45462\n64444 96660\n85824 100000\n85700 100000\n5438 8166\n99817 100000\n16988 25590\n4043 6100\n3334 5042\n82596 100000\n83275 100000\n90367 100000\n64817 97219\n80521 100000\n66388 99576\n59349 89033\n35333 53148\n35609 53550\n11682 17581\n39261 59064\n59760 89652\n49907 74930\n90524 100000\n13655 20558\n32534 48991\n60309 90481\n89289 100000\n78321 100000\n43914 65997\n11541 17370\n49485 74310\n98963 100000\n87885 100000\n38936 58579\n75535 100000\n5873 8828\n60179 90293\n36248 54515\n42277 63567\n92269 100000\n29028 43715\n98792 100000\n63600 95400\n22375 33722\n9010 13539\n76596 100000\n31155 46917\n25927 39085\n68178 100000\n38940 58585\n17623 26556\n1572 2360\n67849 100000\n3340 5052\n6260 9402\n98710 100000\n81807 100000\n23839 35933\n4471 6739\n64119 96172\n91126 100000\n90728 100000\n96654 100000\n91433 100000\n8160 12262\n84851 100000\n78754 100000\n9129 13718\n27460 41351\n14145 21305\n9662 14524\n42448 63827\n97972 100000\n81512 100000\n24978 37651\n92203 100000\n73429 100000\n82007 100000\n95633 100000\n34719 52242\n9796 14727\n60696 91068\n24932 37587\n44634 67081\n70001 100000\n41809 62874\n62875 94295\n50103 75220\n724 1084\n10863 16337\n2610 3948\n90301 100000\n47065 70709\n9745 14649\n36022 54174\n94904 100000\n17707 26683\n5854 8798\n33875 51008\n74593 100000\n68803 100000\n4031 6081\n26345 39689\n27500 41414\n30980 46653\n3333 5040\n98277 100000\n77188 100000\n25496 38428\n23960 36110\n58957 88442\n71024 100000\n76559 100000\n16498 24850\n37178 55915\n14283 21495\n15134 22789\n23197 34961\n3982 6008\n65181 97766\n15762 23744\n90008 100000\n45116 67807\n41777 62825\n83273 100000\n7867 11820\n69233 100000\n88143 100000\n74458 100000\n24350 36698\n53593 80429\n44797 67333\n50801 76267\n2869 4347\n671 1004\n27282 41091\n16490 24837\n12446 18719\n53829 80779\n22147 33385\n22019 33198\n58937 88412\n41354 62200\n62212 93330\n9174 13784\n99460 100000\n21002 31651\n82027 100000\n14058 21172\n58787 88184\n14528 21871\n68401 100000\n78399 100000\n1570 2357\n80898 100000\n61093 91662\n37484 56373\n2058 3109\n64096 96138\n77865 100000\n82807 100000\n28748 43289\n83760 100000\n86870 100000\n78378 100000\n22975 34621\n35473 53363\n47160 70851\n38377 57741\n82880 100000\n88704 100000\n25922 39077\n85096 100000\n36759 55288\n53403 80161\n90283 100000\n22537 33956\n47225 70944\n89234 100000\n3666 5532\n5178 7789\n58988 88495\n87028 100000\n32087 48323\n84178 100000\n11504 17311\n79366 100000\n80763 100000\n34328 51674\n46445 69773\n42781 64311\n15565 23450\n61724 92601\n49933 74967\n61054 91601\n22169 33417\n89133 100000\n33168 49947\n69952 100000\n61696 92559\n44235 66476\n62900 94331\n92109 100000\n63445 95154\n26103 39332\n92456 100000\n28716 43236\n62370 93558\n92781 100000\n77224 100000\n640 960\n93683 100000\n48098 72232\n9016 13547\n69817 100000\n28427 42799\n57093 85647\n68182 100000\n19027 28662\n70827 100000\n40336 60667\n28360 42699\n21202 31956\n63487 95218\n90886 100000\n49280 73997\n27462 41353\n86825 100000\n77587 100000\n56421 84644\n73753 100000\n77958 100000\n15644 23571\n53294 80004\n82794 100000\n95523 100000\n74882 100000\n60146 90242\n87967 100000\n1528 2292\n33658 50675\n86352 100000\n85865 100000\n11534 17361\n30737 46302\n45509 68378\n1185 1768\n29187 43954\n50736 76167\n31688 47722\n21239 32013\n71306 100000\n21155 31885\n28131 42359\n15367 23157\n5555 8335\n76924 100000\n89780 100000\n22218 33491\n29455 44353\n79420 100000\n32241 48556\n73275 100000\n92277 100000\n37397 56240\n92605 100000\n31140 46896\n88806 100000\n72291 100000\n7267 10914\n61921 92893\n26041 39237\n86117 100000\n83124 100000\n13392 20169\n96321 100000\n98821 100000\n93807 100000\n5128 7713\n63646 95472\n70348 100000\n7187 10799\n56340 84521\n58983 88487\n45588 68485\n7270 10918\n94575 100000\n64009 96009\n83126 100000\n32954 49625\n47321 71086\n67356 100000\n90946 100000\n66766 100000\n15252 22969\n90736 100000\n87597 100000\n64907 97351\n24917 37565\n13163 19831\n55949 83939\n51515 77322\n27942 42069\n47278 71020\n63964 95941\n60460 90710\n85042 100000\n49084 73697\n47764 71740\n87484 100000\n11483 17283\n99994 100000\n87738 100000\n37192 55937\n19821 29842\n15844 23880\n16640 25065\n21126 31840\n65679 98512\n61979 92977\n92042 100000\n89212 100000\n61078 91636\n39224 59004\n42307 63610\n81899 100000\n72645 100000\n13262 19977\n50848 76339\n97791 100000\n37833 56906\n48914 73439\n85716 100000\n81147 100000\n79003 100000\n51521 77331\n51764 77708\n22200 33464\n3077 4653\n73886 100000\n42906 64499\n97617 100000\n84834 100000\n61657 92502\n72433 100000\n50230 75412\n27520 41447\n81092 100000\n4335 6538\n52190 78350\n16918 25480\n79966 100000\n46744 70219\n45837 68860\n68448 100000\n90685 100000\n12245 18423\n69663 100000\n77577 100000\n83690 100000\n51928 77951\n61130 91718\n9161 13764\n96376 100000\n71245 100000\n2013 3041\n55112 82692\n78483 100000\n83235 100000\n98289 100000\n98130 100000\n24182 36446\n32651 49164\n82016 100000\n54858 82303\n90083 100000\n33860 50983\n23048 34733\n91102 100000\n15916 23983\n56833 85259\n50726 76153\n70916 100000\n95591 100000\n8481 12735\n84497 100000\n4940 7447\n96126 100000\n18991 28607\n83394 100000\n39958 60102\n6534 9810\n1764 2661\n83452 100000\n32185 48473\n84937 100000\n73382 100000\n62562 93842\n84355 100000\n45643 68573\n16990 25593\n68924 100000\n88879 100000\n27214 40989\n52923 79446\n77185 100000\n35329 53144\n67789 100000\n93761 100000\n65125 97673\n98539 100000\n50305 75525\n62002 93015\n43822 65864\n42 60\n79117 100000\n55926 83906\n58633 87939\n83824 100000\n4547 6857\n73759 100000\n22592 34033\n46624 70036\n72290 100000\n72636 100000\n73139 100000\n55544 83348\n61218 91850\n16017 24134\n32909 49554\n60648 90996\n88147 100000\n75250 100000\n36950 55570\n18191 27410\n36996 55643\n91888 100000\n91161 100000\n64963 97431\n68459 100000\n20151 30346\n59592 89402\n93543 100000\n8046 12087\n78336 100000\n52446 78732\n84896 100000\n98181 100000\n82351 100000\n10521 15822\n60273 90428\n59015 88533\n2591 3919\n90065 100000\n3468 5244\n44353 66660\n28906 43526\n13435 20236\n31121 46866\n35297 53095\n55025 82555\n82236 100000\n81204 100000\n5476 8224\n72519 100000\n38487 57900\n63201 94791\n66619 99922\n6476 9726\n65392 98081\n56466 84708\n61935 92913\n45041 67689\n13635 20528\n55836 83775\n14972 22549\n56101 84172\n40702 61216\n29947 45111\n13287 20014\n80843 100000\n10850 16317\n76259 100000\n69555 100000\n13754 20709\n25505 38442\n46770 70257\n30731 46291\n63872 95810\n54527 81814\n76196 100000\n39943 60079\n11902 17906\n70887 100000\n52104 78213\n28911 43533\n14401 21674\n10901 16400\n33578 50553\n96229 100000\n65149 97713\n78681 100000\n28 40\n54334 81518\n27741 41774\n97817 100000\n6148 9231\n93109 100000\n3176 4804\n80448 100000\n31584 47568\n57378 86079\n5818 8739\n39432 59324\n33019 49732\n50326 75556\n49501 74334\n37240 56011\n53771 80691\n92320 100000\n33697 50733\n62558 93837\n10480 15762\n9538 14340\n31370 47244\n86827 100000\n39567 59523\n26068 39279\n97897 100000\n41656 62644\n65661 98487\n85280 100000\n94726 100000\n54596 81915\n26980 40643\n88045 100000\n97052 100000\n42904 64497\n21329 32158\n16515 24879\n84272 100000\n77842 100000\n51117 76730\n32724 49263\n92301 100000\n11130 16755\n41685 62692\n50958 76497\n8674 13025\n33643 50653\n88341 100000\n8378 12575\n77871 100000\n93775 100000\n88659 100000\n75791 100000\n1713 2581\n81447 100000\n32369 48749\n41940 63070\n90271 100000\n47303 71059\n59953 89945\n23390 35246\n2165 3278\n25581 38555\n89261 100000\n2945 4456\n33811 50907\n66732 100000\n206 297\n11958 17984\n9767 14682\n69911 100000\n59561 89355\n15750 23724\n54139 81224\n15531 23398\n49219 73909\n62954 94411\n50766 76211\n80827 100000\n17769 26772\n8427 12646\n21050 31722\n28686 43191\n38715 58235\n83837 100000\n41609 62577\n72467 100000\n84032 100000\n25076 37796\n46473 69814\n95132 100000\n55306 82991\n41228 62017\n44442 66790\n27362 41205\n64920 97368\n71296 100000\n86223 100000\n41653 62641\n22564 33998\n16776 25263\n59571 89368\n36023 54175\n96019 100000\n38942 58587\n92977 100000\n34337 51687\n11366 17107\n61166 91773\n95954 100000\n92846 100000\n46042 69163\n5060 7614\n55015 82541\n3786 5711\n74373 100000\n73807 100000\n68242 100000\n64327 96479\n59662 89500\n19432 29265\n12793 19264\n3338 5049\n74138 100000\n45144 67847\n48480 72799\n84155 100000\n64342 96502\n13355 20116\n77104 100000\n19494 29365\n57030 85553\n7707 11579\n89144 100000\n77010 100000\n49669 74586\n93694 100000\n18584 28013\n87841 100000\n51798 77760\n77183 100000\n43535 65443\n1935 2920\n44908 67490\n35392 53237\n52407 78673\n43430 65287\n68745 100000\n65031 97536\n76321 100000\n6090 9141\n96773 100000\n57888 86832\n39660 59669\n13467 20283\n32645 49157\n2930 4435\n7398 11117\n20588 31005\n38703 58218\n60427 90661\n74685 100000\n73566 100000\n55576 83399\n24451 36852\n35232 53003\n35465 53349\n73488 100000\n33569 50539\n44515 66903\n12470 18756\n58223 87331\n17688 26654\n34218 51505\n42391 63739\n54895 82358\n17384 26186\n75609 100000\n55154 82757\n52025 78096\n81072 100000\n20102 30277\n73206 100000\n91287 100000\n82889 100000\n89492 100000\n82048 100000\n23396 35255\n98002 100000\n774 1160\n32117 48368\n9131 13720\n19285 29055\n87460 100000\n78752 100000\n89421 100000\n64559 96830\n13648 20547\n26190 39461\n59938 89923\n74485 100000\n14372 21630\n51881 77885\n73046 100000\n58457 87672\n89028 100000\n10385 15625\n24041 36241\n2962 4480\n73008 100000\n64779 97162\n90541 100000\n12887 19408\n66539 99803\n29 41\n84935 100000\n20291 30554\n4983 7506\n15171 22850\n41947 63079\n2446 3696\n60904 91378\n15460 23288\n30354 45729\n34411 51790\n56598 84905\n39361 59222\n28639 43119\n68964 100000\n10793 16230\n60472 90729\n15875 23922\n6080 9128\n89187 100000\n30523 45977\n84086 100000\n50836 76320\n24488 36901\n42682 64173\n86788 100000\n73724 100000\n5000 7531\n90591 100000\n79984 100000\n30198 45500\n75251 100000\n2537 3839\n57909 86868\n46596 69998\n91929 100000\n76016 100000\n62226 93351\n41951 63087\n63175 94753\n18319 27607\n9543 14347\n39240 59031\n32948 49616\n87070 100000\n75230 100000\n96397 100000\n57273 85924\n66560 99832\n54733 82108\n18242 27488\n97236 100000\n37722 56730\n22331 33658\n95754 100000\n49818 74800\n81377 100000\n78816 100000\n70144 100000\n60815 91252\n77856 100000\n97622 100000\n60997 91517\n84384 100000\n21194 31945\n938 1401\n10751 16168\n33757 50823\n14260 21460\n68078 100000\n96891 100000\n49342 74095\n34072 51292\n46846 70368\n90045 100000\n97847 100000\n46890 70431\n7898 11869\n87248 100000\n95046 100000\n18794 28322\n54117 81192\n61247 91894\n59130 88705\n10086 15173\n15389 23188\n86272 100000\n73949 100000\n74299 100000\n80601 100000\n85813 100000\n52631 79010\n4155 6269\n47969 72048\n15345 23121\n25104 37837\n22987 34641\n24743 37294\n49938 74975\n73438 100000\n56193 84310\n82102 100000\n69355 100000\n50829 76308\n56909 85370\n45129 67824\n34094 51327\n86621 100000\n94004 100000\n52894 79403\n88557 100000\n74664 100000\n64551 96819\n88822 100000\n47418 71226\n11631 17498\n50689 76095\n92402 100000\n10210 15360\n67430 100000\n66112 99160\n47460 71293\n9786 14710\n71066 100000\n51152 76782\n91872 100000\n50099 75214\n23204 34972\n14870 22392\n56744 85127\n40919 61539\n28248 42533\n55308 82994\n5762 8651\n98089 100000\n7430 11167\n74162 100000\n66550 99819\n4504 6792\n55111 82690\n65287 97923\n62079 93128\n90778 100000\n30178 45468\n55486 83264\n49876 74885\n27917 42036\n27159 40904\n99434 100000\n64603 96895\n80412 100000\n62271 93416\n81379 100000\n25600 38587\n66726 100000\n84476 100000\n84151 100000\n822 1231\n243 346\n17712 26690\n36893 55488\n2910 4410\n20860 31436\n3703 5588\n39562 59514\n85866 100000\n71532 100000\n71330 100000\n91339 100000\n27299 41114\n58216 87321\n8441 12667\n70324 100000\n53949 80953\n87570 100000\n25064 37779\n19477 29338\n56294 84453\n63915 95870\n5353 8041\n3297 4989\n96886 100000\n71605 100000\n70416 100000\n34778 52328\n815 1220\n72367 100000\n58666 87986\n50241 75428\n46203 69404\n649 972\n20907 31505\n37531 56442\n50491 75797\n94116 100000\n61468 92224\n6510 9775\n67406 100000\n63747 95620\n66804 100000\n31562 47538\n90339 100000\n45078 67746\n53683 80564\n17634 26574\n3106 4699\n42199 63451\n27041 40728\n97433 100000\n33159 49934\n61298 91976\n75984 100000\n76396 100000\n25512 38454\n2863 4338\n28718 43240\n52783 79234\n11006 16566\n69097 100000\n99274 100000\n30023 45232\n75557 100000\n78990 100000\n46379 69675\n68868 100000\n52486 78789\n34423 51809\n22056 33250\n75551 100000\n92171 100000\n29416 44294\n54723 82095\n61513 92286\n23485 35392\n13324 20070\n24793 37375\n31239 47047\n85870 100000\n62320 93486\n17065 25709\n14385 21648\n44946 67545\n7402 11122\n76935 100000\n21019 31679\n42815 64359\n63784 95679\n46374 69668\n77554 100000\n91965 100000\n83208 100000\n58320 87477\n81477 100000\n5165 7769\n33937 51097\n27820 41891\n39266 59070\n47831 71841\n75614 100000\n10451 15722\n52883 79386\n51332 77042\n66387 99575\n31297 47137\n78277 100000\n89065 100000\n36637 55111\n86276 100000\n22625 34086\n61267 91925\n12496 18798\n84845 100000\n52191 78352\n67343 100000\n38119 57350\n94941 100000\n13129 19777\n36712 55215\n82608 100000\n21596 32554\n34912 52523\n79219 100000\n31109 46844\n943 1407\n60529 90815\n38146 57394\n31559 47533\n96042 100000\n51039 76615\n40193 60450\n40990 61650\n8865 13316\n16418 24734\n81106 100000\n96010 100000\n63273 94899\n3068 4641\n30560 46033\n87405 100000\n60097 90165\n62691 94034\n3947 5957\n44339 66636\n44052 66206\n35001 52654\n66259 99386\n65121 97668\n38964 58617\n13078 19699\n55990 84003\n41994 63151\n66450 99670\n29723 44770\n92569 100000\n91024 100000\n88055 100000\n14100 21234\n49373 74138\n91474 100000\n12466 18751\n33033 49752\n70441 100000\n30470 45901\n34814 52382\n31572 47552\n51893 77902\n84811 100000\n93254 100000\n63239 94846\n88294 100000\n43634 65591\n10827 16285\n27983 42124\n87560 100000\n48808 73285\n47527 71395\n46869 70402\n96012 100000\n71865 100000\n47045 70681\n9556 14367\n98785 100000\n17898 26964\n21118 31827\n66299 99448\n83972 100000\n86467 100000\n41034 61720\n98489 100000\n54547 81845\n12139 18264\n8862 13312\n48187 72360\n91318 100000\n85511 100000\n23082 34785\n62994 94472\n90594 100000\n2981 4510\n60504 90777\n853 1274\n323 464\n62174 93274\n366 534\n64834 97242\n66500 99745\n29048 43745\n15801 23809\n26992 40659\n57189 85793\n84920 100000\n81378 100000\n34049 51256\n38117 57346\n87706 100000\n18201 27428\n43574 65499\n69883 100000\n57442 86177\n80075 100000\n84708 100000\n865 1291\n28840 43429\n98166 100000\n61605 92421\n98727 100000\n66561 99834\n6082 9130\n66956 100000\n91713 100000\n31241 47049\n21760 32800\n11138 16765\n28365 42708\n62563 93843\n2202 3337\n85391 100000\n91502 100000\n29280 44095\n50028 75105\n68012 100000\n71520 100000\n60036 90069\n17505 26372\n99471 100000\n46956 70538\n86266 100000\n16638 25061\n70877 100000\n38613 58087\n34321 51662\n47151 70839\n63122 94668\n19962 30069\n45113 67803\n42088 63289\n50515 75833\n1838 2773\n17440 26275\n7463 11221\n39947 60085\n61329 92018\n92805 100000\n93731 100000\n59612 89429\n74860 100000\n25384 38257\n79238 100000\n7081 10631\n43495 65380\n90511 100000\n8874 13331\n32120 48372\n99756 100000\n4507 6795\n88804 100000\n46957 70540\n39002 58674\n51854 77847\n11915 17924\n82851 100000\n93508 100000\n30074 45310\n13784 20755\n76096 100000\n47990 72079\n45630 68554\n4637 6993\n17817 26846\n69552 100000\n31983 48169\n94141 100000\n67797 100000\n17257 26007\n3457 5227\n84619 100000\n19926 30012\n35167 52906\n960 1434\n36524 54933\n34067 51284\n43278 65061\n15935 24012\n15037 22643\n11953 17976\n50469 75764\n18744 28251\n599 894\n13085 19711\n42662 64143\n95945 100000\n76808 100000\n390 573\n92992 100000\n827 1238\n52216 78389\n63729 95596\n91169 100000\n69569 100000\n52461 78755\n33242 50060\n9888 14865\n17533 26413\n31219 47016\n46475 69817\n59394 89103\n41257 62052\n78173 100000\n72743 100000\n47009 70621\n76318 100000\n92627 100000\n80902 100000\n72028 100000\n44615 67052\n81234 100000\n53163 79812\n91612 100000\n48240 72442\n64341 96500\n13408 20194\n15197 22884\n97446 100000\n46043 69164\n97753 100000\n33572 50544\n74447 100000\n98803 100000\n51412 77163\n92046 100000\n51707 77620\n92063 100000\n5365 8059\n16615 25024\n22478 33873\n56880 85327\n44222 66457\n87274 100000\n24697 37220\n33630 50633\n15234 22942\n82210 100000\n73248 100000\n98915 100000\n79458 100000\n74346 100000\n46743 70218\n90722 100000\n3615 5457\n25033 37728\n48863 73366\n63500 95239\n14282 21493\n91290 100000\n3826 5765\n18304 27584\n12376 18616\n76725 100000\n17717 26697\n67196 100000\n91798 100000\n62771 94146\n36117 54315\n70637 100000\n90902 100000\n65625 98437\n99139 100000\n46166 69351\n83816 100000\n23516 35444\n60674 91032\n85514 100000\n19860 29910\n93548 100000\n36510 54914\n31778 47858\n28181 42437\n75882 100000\n27450 41337\n31423 47328\n66461 99687\n1945 2935\n46030 69144\n85250 100000\n99158 100000\n68036 100000\n96026 100000\n20699 31182\n44063 66221\n94500 100000\n30205 45510\n18023 27152\n47905 71951\n54797 82211\n20064 30220\n22503 33907\n54643 81981\n25561 38525\n64152 96221\n5875 8831\n49150 73800\n99243 100000\n84505 100000\n39812 59892\n12510 18821\n45929 68989\n34427 51815\n73673 100000\n20837 31402\n11973 18009\n73491 100000\n82912 100000\n95216 100000\n50615 75990\n94920 100000\n88571 100000\n59551 89342\n35670 53642\n77169 100000\n59627 89451\n3481 5261\n87491 100000\n61757 92651\n23315 35137\n33768 50841\n38990 58653\n65200 97798\n25229 38022\n21955 33105\n29898 45032\n56885 85336\n8800 13221\n13615 20497\n92511 100000\n89081 100000\n86992 100000\n86769 100000\n8092 12156\n72680 100000\n5008 7542\n73267 100000\n96573 100000\n95893 100000\n36244 54508\n11498 17304\n61825 92747\n66360 99539\n95254 100000\n25345 38195\n48249 72454\n4936 7442\n32083 48317\n71323 100000\n96940 100000\n67659 100000\n49132 73771\n52323 78548\n98399 100000\n14832 22329\n99359 100000\n24011 36194\n45168 67886\n44299 66572\n12685 19091\n39999 60165\n69885 100000\n43668 65637\n40328 60655\n81104 100000\n56220 84350\n51181 76828\n71383 100000\n731 1094\n69745 100000\n43994 66124\n70921 100000\n39736 59779\n3873 5837\n51890 77897\n96666 100000\n18098 27266\n75751 100000\n40267 60557\n33453 50366\n26662 40166\n84398 100000\n17619 26550\n89337 100000\n67164 100000\n41893 62998\n31054 46761\n49255 73963\n62246 93378\n89038 100000\n37502 56398\n7150 10742\n35690 53676\n14300 21522\n42039 63215\n13934 20984\n57751 86626\n7005 10516\n93256 100000\n47344 71120\n79447 100000\n72417 100000\n71042 100000\n34797 52355\n71198 100000\n69942 100000\n30808 46399\n93737 100000\n86694 100000\n12804 19283\n40388 60747\n83880 100000\n29063 43767\n61199 91821\n91021 100000\n70040 100000\n84124 100000\n47935 71992\n76587 100000\n31955 48125\n47217 70933\n45130 67826\n2224 3367\n54245 81385\n35608 53549\n52395 78656\n78073 100000\n6695 10050\n4799 7238\n88893 100000\n27780 41833\n56348 84532\n96375 100000\n38598 58065\n72113 100000\n85269 100000\n12151 18285\n93337 100000\n83709 100000\n18060 27208\n62470 93705\n10616 15960\n95742 100000\n1928 2908\n27571 41518\n16560 24942\n7644 11485\n54767 82165\n90341 100000\n96476 100000\n21709 32720\n23523 35455\n73523 100000\n72564 100000\n53967 80981\n1278 1918\n93784 100000\n48669 73077\n72324 100000\n29694 44726\n12181 18327\n44189 66408\n73328 100000\n1456 2190\n48215 72405\n912 1364\n50873 76374\n11932 17947\n69131 100000\n83198 100000\n36416 54773\n69834 100000\n56105 84178\n76049 100000\n78718 100000\n96793 100000\n29912 45055\n41598 62558\n75315 100000\n67016 100000\n39492 59415\n679 1015\n67426 100000\n57874 86813\n9232 13870\n58203 87304\n32751 49305\n98589 100000\n84714 100000\n99030 100000\n57615 86416\n72285 100000\n27103 40819\n62480 93719\n90571 100000\n99573 100000\n69972 100000\n48849 73348\n25046 37751\n4523 6818\n2936 4445\n62035 93063\n12095 18193\n86201 100000\n76892 100000\n47878 71912\n82649 100000\n76835 100000\n88440 100000\n76785 100000\n15167 22844\n40700 61212\n74487 100000\n92962 100000\n69980 100000\n47022 70645\n97366 100000\n95887 100000\n39864 59970\n64421 96627\n12550 18881\n29191 43962\n19619 29549\n26437 39832\n47988 72076\n75564 100000\n48660 73063\n64578 96859\n90491 100000\n91799 100000\n28804 43376\n93163 100000\n98956 100000\n87832 100000\n5807 8721\n98143 100000\n87916 100000\n1780 2684\n8668 13014\n375 546\n57034 85561\n68072 100000\n73105 100000\n58655 87970\n57691 86529\n91476 100000\n38456 57858\n19515 29395\n92061 100000\n21010 31664\n2710 4096\n87224 100000\n99288 100000\n59497 89258\n72294 100000\n91896 100000\n76254 100000\n65425 98134\n81298 100000\n44571 66983\n52724 79145\n9740 14641\n99990 100000\n91567 100000\n21466 32364\n42219 63481\n28951 43594\n16885 25427\n82119 100000\n60007 90026\n25679 38713\n34601 52068\n1108 1649\n14179 21349\n97719 100000\n36310 54613\n85287 100000\n67563 100000\n87004 100000\n82734 100000\n83211 100000\n32257 48577\n25342 38190\n22402 33760\n98791 100000\n51702 77613\n65090 97621\n51430 77190\n70161 100000\n41314 62143\n66852 100000\n13381 20154\n82045 100000\n40305 60620\n52100 78207\n28056 42239\n51352 77074\n48416 72703\n58301 87449\n67359 100000\n87724 100000\n11262 16947\n79036 100000\n85219 100000\n10308 15504\n84540 100000\n74206 100000\n37877 56975\n13066 19678\n30325 45685\n95816 100000\n66217 99322\n26307 39633\n39031 58717\n60060 90107\n63520 95268\n5103 7679\n22654 34126\n53153 79799\n58979 88480\n69726 100000\n67355 100000\n80060 100000\n66772 100000\n68612 100000\n21285 32088\n16489 24835\n2577 3900\n5293 7955\n80388 100000\n3107 4701\n79688 100000\n66137 99202\n20442 30782\n43418 65270\n5101 7675\n47167 70862\n66352 99525\n2812 4266\n50924 76452\n55274 82942\n28535 42957\n48506 72842\n41732 62758\n32869 49488\n28791 43356\n25148 37900\n84169 100000\n21887 32999\n18222 27459\n29401 44274\n64294 96431\n22976 34623\n72573 100000\n2622 3967\n89642 100000\n45307 68089\n9714 14601\n75213 100000\n48802 73277\n60409 90639\n63366 95035\n37816 56881\n67684 100000\n22105 33325\n67967 100000\n69495 100000\n72652 100000\n65218 97824\n70948 100000\n5280 7935\n56493 84750\n92869 100000\n7713 11587\n97089 100000\n35931 54041\n98991 100000\n77939 100000\n61764 92661\n31408 47304\n10265 15443\n74623 100000\n70230 100000\n13860 20872\n55787 83702\n91773 100000\n84422 100000\n80024 100000\n49229 73924\n47902 71948\n12409 18664\n45661 68597\n33984 51165\n97270 100000\n96464 100000\n12315 18525\n1606 2416\n74491 100000\n83307 100000\n79075 100000\n98515 100000\n75902 100000\n58759 88140\n92808 100000\n92341 100000\n86448 100000\n56769 85159\n71126 100000\n25374 38240\n6019 9041\n54328 81511\n76104 100000\n33506 50444\n4521 6814\n52551 78897\n41101 61821\n96772 100000\n59957 89951\n41603 62566\n62463 93692\n32786 49364\n14930 22483\n55866 83818\n7748 11643\n53768 80688\n55700 83581\n9419 14157\n32680 49204\n50023 75095\n47456 71287\n49096 73716\n71653 100000\n53595 80431\n14537 21884\n6684 10036\n9445 14198\n30008 45205\n50824 76301\n86278 100000\n96514 100000\n66784 100000\n40945 61580\n33672 50696\n82142 100000\n31596 47586\n92519 100000\n43304 65102\n89539 100000\n71295 100000\n85364 100000\n17429 26256\n46129 69294\n25004 37687\n12507 18816\n75261 100000\n63465 95185\n34125 51371\n95645 100000\n74141 100000\n39959 60103\n85972 100000\n76866 100000\n77479 100000\n55108 82685\n2694 4071\n27230 41013\n79503 100000\n75409 100000\n81082 100000\n13376 20146\n23738 35782\n29655 44665\n72167 100000\n10442 15707\n50529 75857\n21061 31739\n14538 21885\n86858 100000\n82875 100000\n25259 38068\n44586 67008\n11420 17189\n9299 13970\n24342 36686\n46489 69840\n27931 42054\n14703 22132\n99049 100000\n80924 100000\n61361 92064\n92329 100000\n16147 24335\n57786 86684\n63596 95394\n64224 96326\n57099 85659\n62209 93324\n36540 54957\n49038 73626\n44469 66828\n11378 17122\n58781 88176\n15745 23717\n14840 22341\n66714 100000\n35429 53296\n82109 100000\n93788 100000\n36255 54527\n9168 13775\n63763 95646\n31094 46821\n76375 100000\n19137 28827\n76327 100000\n77492 100000\n31657 47675\n87367 100000\n17442 26278\n20607 31037\n46655 70081\n29484 44400\n72828 100000\n37300 56099\n67103 100000\n91120 100000\n18885 28453\n97581 100000\n95376 100000\n85039 100000\n12816 19303\n20696 31177\n70207 100000\n32436 48839\n80847 100000\n5651 8483\n48303 72536\n17392 26198\n97795 100000\n50258 75456\n46972 70563\n53379 80123\n52076 78170\n86929 100000\n29023 43705\n14520 21860\n40575 61030\n90716 100000\n44831 67382\n81877 100000\n44119 66306\n42961 64580\n9880 14850\n75485 100000\n92169 100000\n10157 15278\n95662 100000\n55446 83205\n72156 100000\n29886 45015\n84618 100000\n98999 100000\n69413 100000\n53490 80280\n97512 100000\n86224 100000\n29215 43996\n58586 87865\n75976 100000\n63774 95664\n77317 100000\n47209 70923\n24966 37635\n78869 100000\n20295 30559\n39214 58991\n23139 34872\n53170 79821\n31336 47193\n63292 94928\n79878 100000\n43518 65419\n69739 100000\n23675 35686\n59646 89480\n56538 84817\n25323 38162\n28746 43285\n18615 28060\n10728 16137\n47909 71958\n49518 74362\n53510 80308\n23919 36052\n37330 56141\n26680 40192\n84966 100000\n63718 95580\n16920 25484\n71313 100000\n82791 100000\n3502 5291\n71986 100000\n76025 100000\n95888 100000\n89560 100000\n29452 44348\n41204 61983\n53304 80020\n34840 52419\n17189 25901\n96192 100000\n20870 31450\n38321 57663\n6306 9472\n43264 65039\n5667 8508\n47873 71904\n71256 100000\n46005 69109\n13873 20891\n94489 100000\n18703 28191\n35485 53378\n82239 100000\n62020 93039\n14 19\n56351 84536\n18132 27315\n52422 78697\n14251 21449\n70884 100000\n77189 100000\n76777 100000\n85505 100000\n20985 31622\n76388 100000\n74757 100000\n68886 100000\n53516 80318\n62355 93538\n42499 63900\n3186 4818\n21742 32768\n67509 100000\n51673 77567\n30472 45903\n25113 37851\n79957 100000\n26298 39619\n77117 100000\n98748 100000\n41286 62100\n7256 10897\n6024 9048\n77980 100000\n16314 24582\n63100 94635\n7254 10895\n61328 92017\n8138 12228\n56717 85088\n70232 100000\n80405 100000\n51435 77197\n17783 26793\n16977 25572\n80031 100000\n84510 100000\n31704 47750\n6415 9629\n13654 20557\n21181 31925\n40087 60296\n57498 86249\n37488 56378\n74682 100000\n79452 100000\n78214 100000\n67077 100000\n47539 71415\n13203 19886\n65102 97639\n62992 94468\n8180 12291\n84266 100000\n71468 100000\n51393 77135\n10960 16497\n35446 53322\n31495 47436\n47918 71969\n32692 49221\n50370 75617\n2703 4084\n55410 83152\n9402 14132\n73694 100000\n92969 100000\n76687 100000\n5874 8830\n27596 41557\n57657 86477\n33141 49910\n18843 28394\n10824 16281\n33037 49758\n76186 100000\n67009 100000\n51224 76888\n35419 53282\n488 720\n79009 100000\n83625 100000\n40667 61162\n73799 100000\n89037 100000\n94252 100000\n83909 100000\n99630 100000\n30 42\n16299 24558\n5570 8359\n74266 100000\n56459 84699\n27634 41611\n88666 100000\n18672 28147\n34613 52087\n53195 79858\n95584 100000\n47472 71314\n50683 76089\n64225 96327\n38281 57597\n2180 3302\n4116 6210\n17215 25943\n9919 14914\n80149 100000\n1706 2568\n54381 81592\n66180 99269\n74557 100000\n72657 100000\n73512 100000\n41502 62417\n85838 100000\n78334 100000\n90719 100000\n98914 100000\n89531 100000\n51416 77169\n79730 100000\n26043 39240\n2442 3689\n58552 87814\n61949 92932\n92051 100000\n14799 22279\n76439 100000\n62972 94439\n39824 59912\n39517 59451\n55451 83213\n36654 55133\n78587 100000\n95294 100000\n13738 20683\n99246 100000\n91386 100000\n68224 100000\n5659 8497\n94408 100000\n41199 61976\n97606 100000\n90997 100000\n80543 100000\n76495 100000\n126 184\n45886 68927\n13950 21005\n64473 96698\n12659 19049\n60023 90051\n75688 100000\n62143 93225\n13994 21071\n68440 100000\n34109 51347\n55149 82749\n26875 40486\n28497 42904\n17900 26966\n25997 39175\n98777 100000\n45393 68215\n23512 35439\n25822 38931\n97088 100000\n69830 100000\n82451 100000\n87277 100000\n46633 70052\n55066 82620\n42130 63352\n82019 100000\n65607 98408\n99739 100000\n49561 74427\n55281 82952\n19187 28903\n36575 55017\n70604 100000\n46699 70149\n2188 3315\n35466 53351\n52283 78485\n57281 85935\n66522 99778\n9311 13992\n86572 100000\n86115 100000\n26733 40270\n71663 100000\n10597 15932\n26378 39742\n50041 75122\n56118 84196\n84068 100000\n62809 94201\n57904 86859\n51731 77658\n91818 100000\n67805 100000\n95176 100000\n32564 49039\n36772 55307\n69813 100000\n763 1144\n24416 36798\n3403 5147\n77426 100000\n50124 75256\n28492 42898\n4902 7393\n33096 49847\n88237 100000\n57028 85551\n94699 100000\n33957 51127\n37588 56530\n4137 6242\n87036 100000\n66665 99989\n75460 100000\n41591 62548\n95066 100000\n57557 86335\n8705 13071\n50308 75529\n78643 100000\n59262 88899\n86050 100000\n234 333\n48110 72246\n73144 100000\n71897 100000\n86294 100000\n88480 100000\n66913 100000\n20703 31189\n99511 100000\n15663 23600\n50439 75721\n57978 86975\n40386 60743\n60458 90707\n6086 9135\n40423 60798\n87827 100000\n18612 28055\n88723 100000\n92400 100000\n63027 94518\n61234 91873\n85046 100000\n83077 100000\n54851 82291\n72820 100000\n3141 4751\n25794 38889\n49063 73668\n43312 65114\n36116 54314\n72723 100000\n74818 100000\n2959 4475\n30594 46086\n47386 71182\n90627 100000\n89906 100000\n90615 100000\n95978 100000\n41720 62742\n85891 100000\n9707 14590\n91013 100000\n17066 25711\n22446 33825\n84653 100000\n27014 40692\n4802 7242\n46779 70268\n38386 57755\n19207 28930\n67498 100000\n44968 67581\n14885 22413\n28996 43662\n34986 52630\n80207 100000\n21199 31951\n49927 74958\n49452 74255\n31301 47144\n1798 2714\n96914 100000\n72239 100000\n85927 100000\n75950 100000\n87116 100000\n23932 36069\n96676 100000\n43813 65849\n46385 69686\n57633 86444\n91587 100000\n3995 6027\n56041 84080\n72151 100000\n79960 100000\n94437 100000\n62903 94337\n43446 65310\n90679 100000\n46417 69733\n73291 100000\n97193 100000\n96745 100000\n24056 36261\n27920 42039\n75831 100000\n91279 100000\n54771 82170\n53249 79936\n75060 100000\n69612 100000\n48167 72329\n48969 73527\n52388 78644\n98733 100000\n56333 84510\n86008 100000\n59266 88904\n97239 100000\n28884 43492\n94897 100000\n6252 9390\n90681 100000\n88074 100000\n36764 55295\n53320 80041\n2050 3096\n43569 65493\n52797 79254\n84268 100000\n96789 100000\n48019 72121\n84077 100000\n79411 100000\n47064 70707\n19631 29566\n2788 4227\n51477 77263\n3363 5088\n8686 13044\n24676 37183\n91362 100000\n62727 94080\n83744 100000\n90398 100000\n69698 100000\n49904 74926\n8923 13404\n12378 18620\n20828 31387\n3992 6022\n66101 99143\n96110 100000\n40953 61590\n53750 80664\n85898 100000\n43588 65521\n51440 77204\n76899 100000\n39150 58898\n29234 44022\n41113 61841\n92525 100000\n38913 58544\n71930 100000\n23092 34802\n4123 6220\n94990 100000\n73992 100000\n55583 83412\n79211 100000\n25478 38402\n2509 3796\n23219 34994\n51109 76718\n27408 41271\n63787 95683\n48734 73177\n78818 100000\n59473 89222\n44035 66182\n52208 78377\n57501 86254\n51833 77816\n9127 13714\n88669 100000\n14232 21425\n67906 100000\n96812 100000\n40771 61322\n58717 88069\n27369 41216\n56150 84243\n56243 84382\n24639 37128\n81972 100000\n33771 50845\n14527 21869\n46087 69230\n16195 24403\n27599 41561\n26153 39409\n7782 11688\n27314 41135\n24710 37242\n12772 19231\n39212 58989\n98651 100000\n90042 100000\n71577 100000\n68928 100000\n29284 44100\n72587 100000\n24819 37417\n82869 100000\n32891 49523\n9988 15023\n19478 29339\n10931 16449\n52530 78860\n23111 34834\n62117 93185\n11467 17260\n95912 100000\n17363 26156\n83997 100000\n56561 84848\n70059 100000\n18858 28414\n8831 13269\n29069 43774\n73870 100000\n53440 80215\n92373 100000\n66187 99278\n91660 100000\n7432 11170\n27125 40852\n37594 56538\n43423 65277\n18860 28416\n51964 78006\n68424 100000\n13026 19619\n12221 18387\n79183 100000\n28195 42456\n80327 100000\n54678 82031\n78977 100000\n38437 57831\n19835 29867\n42841 64399\n1388 2085\n69248 100000\n83055 100000\n24611 37088\n21258 32040\n69235 100000\n99329 100000\n47643 71560\n49144 73788\n68336 100000\n20682 31152\n48219 72413\n74727 100000\n64105 96152\n194 281\n39424 59312\n28005 42154\n39447 59343\n79749 100000\n69311 100000\n97546 100000\n20886 31472\n37358 56181\n59274 88918\n94847 100000\n32606 49101\n51139 76762\n38113 57342\n50277 75483\n22866 34450\n95240 100000\n88277 100000\n85120 100000\n92146 100000\n96175 100000\n83448 100000\n47757 71727\n64829 97235\n52814 79280\n6618 9929\n40013 60187\n78896 100000\n29509 44436\n94283 100000\n70344 100000\n89725 100000\n12628 19000\n2722 4116\n88688 100000\n82636 100000\n34323 51666\n35415 53277\n20266 30515\n34430 51819\n62453 93678\n34334 51682\n46870 70404\n8146 12241\n10713 16115\n50327 75558\n75881 100000\n15690 23644\n75575 100000\n92898 100000\n8058 12108\n6822 10239\n57653 86470\n99999 100000\n36799 55347\n70301 100000\n58239 87356\n62806 94196\n57153 85739\n73996 100000\n11841 17815\n50218 75396\n98182 100000\n49257 73967\n46819 70326\n74367 100000\n75677 100000\n57380 86082\n89689 100000\n97274 100000\n77364 100000\n65069 97589\n39493 59416\n27290 41100\n12218 18382\n40908 61523\n55325 83019\n85683 100000\n21263 32049\n77936 100000\n279 403\n74404 100000\n91640 100000\n83872 100000\n34041 51245\n56956 85442\n461 682\n67122 100000\n73869 100000\n66514 99766\n47320 71084\n68486 100000\n3599 5433\n32072 48300\n4970 7488\n49007 73581\n3448 5213\n36223 54476\n80852 100000\n6408 9620\n58445 87657\n50631 76014\n24326 36664\n63021 94509\n60611 90942\n10018 15071\n26548 39999\n54036 81080\n53594 80430\n23148 34888\n12504 18811\n52307 78522\n72702 100000\n61189 91807\n73208 100000\n44556 66962\n95157 100000\n13238 19938\n8617 12938\n57453 86190\n95002 100000\n17086 25740\n5016 7552\n60779 91205\n24384 36750\n87621 100000\n43846 65894\n27973 42110\n96749 100000\n75358 100000\n70000 100000\n20279 30537\n61494 92261\n27104 40820\n48819 73303\n41492 62405\n68826 100000\n47992 72082\n57572 86353\n30356 45733\n11731 17651\n49750 74701\n22971 34613\n36742 55260\n79244 100000\n90244 100000\n93951 100000\n69827 100000\n5433 8157\n78676 100000\n52431 78711\n67434 100000\n59881 89839\n75935 100000\n41623 62596\n22416 33782\n42609 64065\n49508 74345\n6404 9613\n35724 53733\n46238 69458\n613 917\n75958 100000\n89164 100000\n63208 94799\n98149 100000\n24776 37345\n78630 100000\n45166 67884\n56025 84058\n10012 15061\n52827 79299\n25016 37703\n7945 11938\n23779 35842\n16375 24674\n33192 49982\n88722 100000\n74738 100000\n68729 100000\n75604 100000\n9383 14102\n59161 88749\n99858 100000\n73730 100000\n81513 100000\n82231 100000\n50157 75309\n79996 100000\n1641 2472\n79232 100000\n17645 26590\n20655 31110\n93168 100000\n86546 100000\n97151 100000\n58195 87292\n35094 52796\n21024 31684\n6255 9394\n89704 100000\n29852 44969\n4633 6987\n66747 100000\n73580 100000\n93043 100000\n19514 29393\n23579 35541\n74401 100000\n37530 56440\n45844 68867\n16601 25004\n73778 100000\n83400 100000\n46536 69906\n12739 19176\n86978 100000\n74426 100000\n32748 49300\n50638 76025\n77264 100000\n28579 43027\n31950 48118\n37085 55776\n57704 86551\n90419 100000\n47843 71859\n7927 11912\n16163 24357\n60771 91193\n44846 67403\n44291 66561\n59636 89464\n4317 6510\n86096 100000\n10743 16157\n87299 100000\n12870 19378\n46595 69996\n51892 77901\n32295 48640\n28714 43234\n17299 26069\n58399 87588\n59816 89742\n89284 100000\n3893 5870\n88894 100000\n75585 100000\n6441 9673\n64934 97389\n86446 100000\n64687 97021\n61679 92535\n43315 65118\n2410 3641\n13197 19877\n71539 100000\n13777 20746\n4960 7476\n95107 100000\n93970 100000\n9039 13582\n69625 100000\n42612 64070\n91714 100000\n98252 100000\n38789 58353\n81223 100000\n83201 100000\n12278 18471\n34960 52590\n44343 66642\n16286 24541\n42220 63482\n20994 31637\n74184 100000\n7711 11583\n86076 100000\n28251 42538\n41556 62499\n90628 100000\n83485 100000\n89961 100000\n77926 100000\n21287 32091\n70131 100000\n16813 25316\n97749 100000\n57211 85824\n22636 34101\n10321 15523\n35239 53013\n9800 14734\n65893 98823\n27891 41997\n68366 100000\n30034 45246\n63974 95956\n43714 65699\n98517 100000\n41241 62033\n1126 1680\n53717 80619\n31428 47333\n44109 66289\n84790 100000\n66745 100000\n63913 95867\n42630 64096\n68442 100000\n34628 52107\n55774 83682\n70468 100000\n91199 100000\n79180 100000\n16846 25364\n87610 100000\n66048 99061\n67890 100000\n15370 23161\n34145 51397\n28089 42293\n25490 38421\n92725 100000\n20960 31583\n93056 100000\n6122 9193\n38747 58287\n16888 25432\n97094 100000\n26085 39305\n52999 79563\n30534 45992\n57683 86517\n3673 5543\n13201 19883\n24480 36890\n8351 12535\n16699 25152\n73469 100000\n13363 20126\n36623 55091\n15572 23460\n57881 86823\n12803 19282\n64575 96854\n53560 80382\n53567 80391\n84866 100000\n76423 100000\n39280 59094\n56172 84280\n51061 76647\n56325 84497\n2501 3784\n39970 60121\n68650 100000\n24803 37393\n18035 27170\n44987 67608\n77240 100000\n25892 39033\n81141 100000\n34570 52022\n50520 75842\n25910 39060\n12783 19247\n35397 53246\n70623 100000\n71387 100000\n70713 100000\n30337 45705\n45546 68429\n64767 97141\n75381 100000\n65673 98503\n10930 16448\n44441 66789\n87184 100000\n80868 100000\n56842 85268\n96286 100000\n71225 100000\n99974 100000\n93188 100000\n98322 100000\n48317 72555\n68897 100000\n42252 63527\n99316 100000\n66305 99458\n81871 100000\n15793 23793\n15415 23227\n76908 100000\n69838 100000\n41198 61974\n53140 79778\n68874 100000\n86412 100000\n63359 95027\n67022 100000\n70772 100000\n37867 56959\n32229 48541\n3657 5520\n61288 91960\n98835 100000\n20861 31438\n4887 7372\n46953 70534\n95919 100000\n48933 73470\n94358 100000\n79289 100000\n81757 100000\n882 1319\n19528 29414\n60633 90972\n32944 49609\n17586 26499\n8183 12297\n1731 2607\n32490 48926\n9581 14406\n95355 100000\n71341 100000\n27167 40916\n84675 100000\n52013 78080\n27633 41610\n73862 100000\n53615 80460\n36175 54403\n62012 93028\n34733 52264\n58836 88260\n27703 41717\n15400 23205\n10815 16269\n79559 100000\n29619 44611\n89036 100000\n78930 100000\n48663 73068\n60191 90308\n91447 100000\n90640 100000\n48036 72146\n99310 100000\n40402 60766\n83179 100000\n41193 61967\n81472 100000\n8205 12326\n63541 95305\n70903 100000\n29952 45120\n7548 11343\n72323 100000\n20587 31003\n96328 100000\n73259 100000\n4413 6654\n38563 58019\n89912 100000\n23185 34944\n99732 100000\n36137 54346\n40035 60222\n92163 100000\n90005 100000\n87792 100000\n24964 37633\n11822 17786\n66533 99793\n16376 24675\n22184 33438\n29421 44302\n19608 29534\n15562 23446\n55148 82747\n69411 100000\n35 48\n82224 100000\n6195 9305\n4720 7117\n6826 10247\n46007 69112\n73692 100000\n96597 100000\n20730 31234\n18356 27665\n46922 70482\n87301 100000\n13529 20368\n28808 43382\n32784 49361\n66737 100000\n61743 92628\n25418 38309\n63075 94597\n61301 91981\n16337 24616\n35430 53298\n63706 95563\n67679 100000\n44676 67144\n66065 99086\n52700 79110\n4387 6615\n20056 30208\n88487 100000\n70497 100000\n28646 43128\n13476 20295\n10332 15539\n85739 100000\n58034 87053\n28701 43213\n18133 27316\n69826 100000\n24982 37657\n57833 86750\n41768 62815\n70115 100000\n69715 100000\n13701 20630\n28932 43567\n67675 100000\n70999 100000\n15607 23513\n45086 67761\n77369 100000\n65963 98935\n59465 89211\n94607 100000\n36249 54517\n11381 17126\n95158 100000\n34715 52237\n42875 64452\n34014 51208\n14628 22023\n76518 100000\n82729 100000\n65105 97643\n65048 97558\n12208 18367\n86786 100000\n84094 100000\n59608 89423\n69208 100000\n18401 27729\n37951 57087\n782 1174\n48950 73497\n12710 19131\n59776 89676\n72483 100000\n50506 75817\n70922 100000\n60426 90659\n70978 100000\n38571 58030\n60493 90760\n27513 41435\n8066 12120\n82748 100000\n16700 25154\n42185 63433\n53352 80089\n72313 100000\n57177 85775\n64430 96637\n58068 87106\n90638 100000\n67824 100000\n45766 68750\n74405 100000\n72013 100000\n5372 8068\n50296 75513\n34762 52306\n23879 35995\n21551 32492\n38497 57916\n77898 100000\n79812 100000\n33519 50460\n33540 50494\n59958 89953\n44168 66378\n73466 100000\n40878 61482\n66661 99982\n56723 85097\n56718 85090\n33967 51141\n3292 4982\n75901 100000\n87707 100000\n61150 91748\n1682 2531\n73344 100000\n21579 32532\n11274 16964\n29071 43777\n92659 100000\n33366 50237\n3123 4725\n17157 25852\n95362 100000\n12170 18312\n19536 29426\n84899 100000\n96444 100000\n96907 100000\n72896 100000\n51290 76986\n41541 62479\n69723 100000\n41616 62586\n60047 90085\n55435 83188\n73507 100000\n39880 59993\n75654 100000\n72179 100000\n74225 100000\n64364 96537\n7151 10744\n51615 77476\n79328 100000\n80150 100000\n66698 100000\n33878 51014\n92792 100000\n84912 100000\n83724 100000\n84483 100000\n9173 13782\n68152 100000\n12404 18655\n84488 100000\n85484 100000\n94834 100000\n82706 100000\n13257 19969\n89475 100000\n33008 49713\n48365 72629\n47307 71065\n38462 57864\n32899 49536\n34458 51860\n95204 100000\n42394 63742\n56663 85002\n67292 100000\n68358 100000\n3660 5523\n17535 26417\n45586 68483\n435 642\n33004 49706\n43147 64858\n21082 31774\n11781 17727\n25803 38901\n92539 100000\n77456 100000\n66722 100000\n28280 42583\n73316 100000\n66605 99901\n87182 100000\n78662 100000\n21564 32512\n62483 93722\n16517 24883\n43313 65115\n79473 100000\n17127 25803\n80173 100000\n31970 48147\n20063 30218\n86838 100000\n18116 27294\n25605 38595\n16500 24854\n59152 88736\n72180 100000\n55296 82974\n81506 100000\n26184 39451\n73504 100000\n27348 41184\n66620 99923\n27989 42131\n89366 100000\n24713 37247\n48356 72615\n31711 47760\n76448 100000\n41295 62117\n27126 40853\n96515 100000\n90028 100000\n43833 65879\n29987 45174\n24761 37322\n84050 100000\n49404 74185\n97346 100000\n45611 68527\n41437 62326\n92082 100000\n31575 47556\n55895 83862\n2229 3374\n75633 100000\n16541 24916\n7612 11438\n81808 100000\n23664 35669\n34728 52257\n30502 45947\n4134 6236\n1555 2334\n7042 10571\n82545 100000\n25142 37891\n25285 38104\n51906 77920\n88744 100000\n41645 62629\n49123 73757\n85982 100000\n88820 100000\n80346 100000\n58358 87536\n44562 66969\n24705 37233\n29564 44523\n67736 100000\n70401 100000\n77040 100000\n53973 80990\n99236 100000\n25055 37765\n35591 53522\n4538 6843\n56669 85011\n16478 24821\n95719 100000\n9778 14699\n55508 83296\n82461 100000\n33872 51003\n73716 100000\n88696 100000\n11223 16886\n2092 3163\n85332 100000\n50467 75761\n49072 73681\n69262 100000\n89751 100000\n86458 100000\n91202 100000\n1123 1675\n57313 85987\n89075 100000\n25068 37785\n60810 91246\n69845 100000\n61263 91918\n47693 71635\n5427 8148\n23774 35834\n38358 57713\n77899 100000\n55433 83186\n53747 80660\n52862 79351\n77304 100000\n49628 74527\n88036 100000\n48980 73543\n52286 78490\n41212 61995\n14524 21866\n40257 60542\n24521 36949\n81586 100000\n37375 56208\n41817 62887\n89564 100000\n76612 100000\n6964 10453\n35788 53828\n90388 100000\n92159 100000\n49057 73658\n80375 100000\n64655 96971\n84442 100000\n80900 100000\n75924 100000\n67092 100000\n3529 5329\n95524 100000\n47762 71737\n98661 100000\n6032 9059\n72355 100000\n23672 35682\n15818 23835\n70980 100000\n48960 73512\n85649 100000\n49902 74924\n26657 40157\n52774 79221\n88966 100000\n43600 65540\n9579 14402\n59586 89391\n597 891\n53505 80302\n20373 30675\n16676 25119\n90267 100000\n760 1140\n41565 62510\n22158 33403\n87589 100000\n91463 100000\n79101 100000\n87525 100000\n50880 76384\n47178 70876\n3099 4686\n66092 99129\n3577 5398\n81245 100000\n46594 69994\n95766 100000\n22384 33734\n12785 19250\n26828 40411\n79972 100000\n44800 67337\n74119 100000\n66924 100000\n6545 9823\n19960 30066\n7518 11296\n36191 54426\n97566 100000\n59494 89254\n20458 30805\n4484 6760\n24015 36202\n11988 18028\n95373 100000\n14359 21608\n57744 86614\n49980 75031\n81964 100000\n51789 77745\n89986 100000\n79315 100000\n91272 100000\n96189 100000\n24227 36514\n20804 31349\n97450 100000\n10030 15089\n30501 45945\n8291 12451\n85816 100000\n36974 55610\n4891 7378\n43471 65345\n727 1088\n8473 12721\n76224 100000\n46854 70380\n65362 98034\n44216 66448\n49350 74109\n46492 69844\n89999 100000\n90669 100000\n16295 24552\n26331 39666\n68505 100000\n79363 100000\n63827 95743\n49636 74537\n57713 86567\n94430 100000\n19016 28647\n75885 100000\n61284 91952\n47336 71108\n45659 68593\n37435 56299\n59321 88989\n97412 100000\n72821 100000\n41333 62173\n84509 100000\n48299 72530\n96252 100000\n46301 69561\n78731 100000\n7677 11537\n24683 37197\n33049 49773\n22070 33273\n87308 100000\n45487 68348\n41636 62619\n42852 64416\n43316 65119\n70404 100000\n48009 72106\n91680 100000\n22837 34404\n93783 100000\n13534 20374\n44391 66718\n79988 100000\n75240 100000\n31300 47142\n31964 48138\n98719 100000\n54261 81411\n4309 6496\n78438 100000\n63037 94536\n42327 63641\n60251 90399\n25314 38151\n6461 9705\n86320 100000\n74641 100000\n85185 100000\n9874 14842\n13389 20165\n35369 53204\n79499 100000\n81300 100000\n52426 78703\n50430 75706\n93324 100000\n79093 100000\n54223 81354\n61074 91630\n16907 25461\n59111 88678\n88802 100000\n51930 77955\n71967 100000\n96572 100000\n27503 41419\n46598 70001\n34944 52569\n31543 47509\n40986 61644\n25558 38521\n96473 100000\n99037 100000\n81305 100000\n97743 100000\n37638 56602\n9840 14792\n20571 30980\n56712 85082\n92339 100000\n25989 39166\n12778 19240\n70017 100000\n1615 2429\n57208 85819\n97583 100000\n73690 100000\n48360 72621\n77624 100000\n58579 87856\n95774 100000\n6845 10277\n56170 84278\n65083 97612\n32331 48695\n12678 19082\n83392 100000\n8227 12357\n81589 100000\n18608 28050\n2842 4309\n50322 75550\n64708 97049\n39971 60122\n29837 44945\n67215 100000\n81221 100000\n54249 81392\n9398 14126\n32089 48326\n64095 96137\n48910 73433\n88401 100000\n57384 86089\n48089 72222\n55043 82582\n43660 65626\n63560 95334\n38450 57851\n47709 71657\n38138 57380\n3309 5004\n4323 6519\n12337 18555\n73702 100000\n2792 4232\n8624 12948\n16654 25084\n92429 100000\n62891 94318\n37612 56561\n16626 25041\n56182 84293\n65333 97989\n30498 45941\n82776 100000\n48336 72584\n63890 95833\n51448 77218\n3002 4543\n61069 91624\n79086 100000\n64918 97365\n35583 53510\n34930 52549\n11539 17368\n18714 28207\n91707 100000\n33895 51034\n17919 26999\n22050 33242\n59433 89159\n66385 99572\n72909 100000\n57491 86239\n57938 86915\n75077 100000\n86958 100000\n21654 32645\n44012 66151\n61467 92222\n27986 42128\n71733 100000\n28078 42275\n86311 100000\n47393 71193\n658 986\n41769 62816\n9886 14861\n61759 92653\n10549 15862\n72352 100000\n37313 56117\n48670 73079\n43390 65233\n21379 32234\n62258 93397\n59784 89689\n12191 18341\n72630 100000\n45488 68349\n11021 16585\n70414 100000\n67113 100000\n25371 38237\n27951 42082\n75500 100000\n25670 38700\n80453 100000\n55911 83884\n67806 100000\n16045 24177\n59077 88626\n71713 100000\n84902 100000\n71854 100000\n47042 70677\n60981 91493\n44480 66845\n77855 100000\n83659 100000\n97021 100000\n23189 34951\n10737 16148\n66957 100000\n41313 62141\n72331 100000\n68562 100000\n64611 96907\n65813 98704\n78507 100000\n47884 71922\n29107 43831\n67461 100000\n29921 45068\n535 791\n92025 100000\n64427 96633\n41512 62434\n64582 96865\n43094 64782\n26284 39598\n73427 100000\n10646 16009\n92201 100000\n46981 70576\n61850 92788\n24396 36767\n64943 97400\n58799 88203\n34816 52385\n72854 100000\n89435 100000\n34798 52356\n13082 19706\n5775 8671\n9785 14709\n92324 100000\n82438 100000\n13532 20372\n60813 91250\n68543 100000\n54606 81927\n95666 100000\n14138 21295\n64248 96362\n77570 100000\n19782 29786\n87631 100000\n69846 100000\n94320 100000\n72633 100000\n77731 100000\n29720 44765\n88607 100000\n76273 100000\n58395 87582\n2345 3543\n20479 30839\n9533 14333\n86013 100000\n1929 2909\n74492 100000\n92971 100000\n34897 52500\n94888 100000\n36518 54924\n4283 6456\n4826 7275\n73641 100000\n27219 40997\n17527 26404\n70409 100000\n42670 64155\n22658 34131\n21318 32139\n89945 100000\n52075 78168\n35667 53636\n14471 21784\n1617 2433\n83158 100000\n64366 96541\n64644 96953\n78115 100000\n92665 100000\n11836 17807\n12852 19350\n19143 28837\n14859 22373\n32481 48911\n24079 36295\n47749 71716\n60968 91472\n90436 100000\n95307 100000\n44319 66601\n83476 100000\n17447 26284\n53850 80807\n44069 66231\n79594 100000\n7034 10558\n4645 7004\n63411 95106\n80752 100000\n68753 100000\n76189 100000\n44382 66703\n38866 58476\n19403 29226\n95128 100000\n96072 100000\n71220 100000\n94254 100000\n83577 100000\n72614 100000\n23539 35482\n13855 20865\n84436 100000\n58436 87642\n34394 51765\n8151 12249\n80524 100000\n48492 72818\n55093 82661\n4570 6894\n99022 100000\n46109 69263\n43511 65407\n20060 30214\n83213 100000\n22860 34441\n70945 100000\n2318 3506\n2425 3663\n48536 72887\n51539 77362\n30934 46580\n896 1340\n64778 97161\n95196 100000\n28861 43456\n52756 79193\n63771 95658\n3445 5210\n22569 34005\n11659 17545\n60744 91148\n48729 73169\n92176 100000\n46195 69390\n75361 100000\n48640 73032\n86245 100000\n75554 100000\n37467 56347\n13976 21044\n7399 11118\n10283 15467\n66781 100000\n67496 100000\n64498 96740\n57458 86196\n96959 100000\n64802 97198\n52043 78123\n51529 77346\n91445 100000\n33942 51105\n30316 45673\n99275 100000\n17519 26393\n31447 47362\n71013 100000\n54741 82122\n51471 77253\n52918 79441\n20282 30541\n85405 100000\n5208 7834\n662 992\n46289 69542\n37199 55948\n59279 88927\n68470 100000\n45858 68887\n53372 80116\n11680 17577\n7576 11383\n18738 28241\n20648 31101\n80888 100000\n17107 25772\n60824 91264\n97647 100000\n23274 35076\n68274 100000\n62575 93862\n20577 30988\n57922 86889\n14017 21110\n39060 58757\n75330 100000\n60354 90552\n15661 23598\n97547 100000\n26978 40639\n16710 25169\n77482 100000\n57977 86973\n78650 100000\n80048 100000\n14521 21861\n51093 76694\n11598 17452\n28863 43460\n94781 100000\n15373 23164\n50526 75853\n3486 5268\n37909 57024\n79976 100000\n43362 65189\n8458 12696\n3812 5745\n88953 100000\n86011 100000\n58556 87820\n6928 10399\n8328 12507\n64035 96050\n94447 100000\n36042 54201\n32941 49603\n73611 100000\n61386 92102\n48497 72828\n30343 45712\n11910 17918\n42860 64429\n93894 100000\n54156 81254\n6229 9357\n9415 14150\n85647 100000\n30321 45680\n3910 5896\n20821 31376\n35496 53394\n78796 100000\n48784 73251\n15792 23791\n15123 22772\n73633 100000\n38426 57814\n34825 52399\n6839 10268\n95593 100000\n49569 74439\n91968 100000\n16219 24437\n68748 100000\n7381 11091\n4394 6624\n3071 4645\n36841 55407\n35166 52905\n5424 8144\n1645 2477\n83904 100000\n61918 92890\n60936 91423\n17164 25862\n37007 55661\n16046 24178\n95610 100000\n58610 87903\n24778 37348\n13634 20526\n49789 74759\n55245 82894\n83262 100000\n72047 100000\n98989 100000\n96833 100000\n50651 76043\n62424 93636\n68858 100000\n3761 5677\n75982 100000\n77108 100000\n54890 82350\n85998 100000\n43632 65589\n5786 8687\n42787 64319\n5951 8947\n99654 100000\n19639 29579\n44121 66309\n78400 100000\n74348 100000\n31122 46868\n82767 100000\n83847 100000\n1137 1698\n42296 63595\n38976 58635\n86233 100000\n81991 100000\n94563 100000\n94672 100000\n1887 2844\n50800 76265\n8067 12121\n67207 100000\n64352 96519\n69895 100000\n2836 4301\n31034 46730\n35870 53949\n85970 100000\n52160 78302\n52469 78766\n59566 89362\n37872 56967\n25488 38417\n45383 68199\n30117 45376\n11446 17227\n31887 48025\n78263 100000\n24445 36843\n57207 85817\n48331 72577\n35657 53620\n8125 12205\n152 221\n15672 23616\n71674 100000\n42188 63436\n39537 59478\n25624 38628\n31067 46781\n7537 11326\n27858 41945\n59345 89025\n81400 100000\n96161 100000\n58563 87830\n4175 6299\n47427 71243\n28067 42258\n81558 100000\n37399 56243\n2016 3046\n83970 100000\n48238 72440\n18071 27223\n65695 98535\n60892 91360\n75825 100000\n76159 100000\n57160 85748\n34420 51804\n23003 34666\n55081 82643\n23563 35518\n9083 13647\n95203 100000\n15518 23380\n94412 100000\n96785 100000\n94599 100000\n1213 1814\n2939 4449\n75014 100000\n20936 31545\n36008 54153\n13591 20462\n86752 100000\n88904 100000\n95799 100000\n58069 87108\n27733 41763\n15831 23858\n57976 86971\n88863 100000\n88137 100000\n50713 76135\n63126 94674\n15944 24026\n16524 24895\n60190 90307\n90150 100000\n66083 99114\n8904 13375\n32137 48398\n89838 100000\n75589 100000\n41547 62485\n21651 32641\n78755 100000\n17075 25726\n67003 100000\n91523 100000\n77978 100000\n55117 82700\n216 313\n24131 36371\n75441 100000\n46152 69329\n58056 87091\n49583 74462\n85851 100000\n96566 100000\n18127 27308\n37303 56103\n16276 24527\n42233 63502\n42384 63726\n57130 85704\n35960 54083\n4277 6445\n95251 100000\n6143 9224\n78981 100000\n7902 11874\n93393 100000\n21582 32536\n47892 71934\n74805 100000\n74294 100000\n18611 28053\n82465 100000\n15933 24008\n46638 70059\n47486 71333\n14835 22332\n19878 29939\n55977 83983\n90979 100000\n24558 37001\n81746 100000\n91285 100000\n94173 100000\n38934 58577\n35043 52715\n68156 100000\n523 773\n79557 100000\n30352 45726\n99751 100000\n11460 17251\n9934 14937\n19917 29999\n78028 100000\n44445 66794\n53132 79765\n79598 100000\n54917 82394\n2247 3402\n36031 54186\n20614 31049\n72486 100000\n31961 48134\n92440 100000\n71373 100000\n48926 73459\n88347 100000\n17387 26191\n40163 60407\n57396 86106\n14481 21800\n82833 100000\n53743 80654\n36855 55428\n94224 100000\n93605 100000\n70062 100000\n93767 100000\n73579 100000\n47230 70952\n16706 25163\n37291 56086\n34815 52384\n99971 100000\n60061 90109\n60347 90541\n53670 80544\n50457 75746\n98100 100000\n90824 100000\n67874 100000\n83934 100000\n96087 100000\n57260 85903\n25758 38834\n77636 100000\n42027 63198\n12566 18903\n69945 100000\n55678 83547\n21316 32135\n6379 9577\n10056 15129\n62013 93030\n86315 100000\n79098 100000\n23245 35030\n12679 19083\n2743 4150\n47999 72092\n30799 46386\n76146 100000\n19277 29040\n63984 95971\n75970 100000\n68751 100000\n77273 100000\n394 579\n44665 67129\n89507 100000\n46380 69677\n14808 22293\n53273 79970\n4845 7307\n22526 33941\n97845 100000\n84566 100000\n43978 66098\n61012 91540\n59175 88770\n85086 100000\n74215 100000\n72974 100000\n73364 100000\n99822 100000\n8837 13276\n35550 53465\n22245 33532\n44596 67024\n93268 100000\n64586 96871\n93084 100000\n40337 60668\n40250 60531\n96538 100000\n31631 47637\n16703 25159\n8074 12131\n25694 38736\n42591 64035\n32529 48984\n91597 100000\n52793 79248\n45008 67640\n15988 24088\n87681 100000\n68878 100000\n28417 42786\n77379 100000\n40867 61466\n699 1048\n32927 49581\n37035 55706\n20562 30965\n8545 12829\n42769 64292\n78340 100000\n4781 7209\n51450 77221\n39460 59366\n58888 88336\n21925 33057\n83187 100000\n38886 58503\n20789 31323\n32391 48776\n21223 31986\n61817 92736\n11069 16659\n53794 80727\n27491 41400\n98254 100000\n89831 100000\n88425 100000\n32157 48429\n52608 78979\n91090 100000\n8347 12531\n8990 13506\n396 583\n91437 100000\n93368 100000\n9481 14255\n7017 10532\n72114 100000\n90406 100000\n86099 100000\n94332 100000\n69918 100000\n67954 100000\n50991 76543\n9144 13740\n2028 3065\n9850 14807\n97568 100000\n17841 26877\n51526 77341\n91656 100000\n99746 100000\n44450 66800\n27188 40949\n64429 96636\n40517 60938\n36013 54159\n47000 70606\n90180 100000\n97471 100000\n88154 100000\n99103 100000\n13459 20271\n2085 3152\n46967 70556\n24498 36915\n4754 7171\n95463 100000\n41444 62334\n43615 65563\n17511 26382\n58242 87360\n49565 74434\n17277 26036\n98347 100000\n39798 59873\n92347 100000\n4953 7466\n78901 100000\n92835 100000\n4745 7158\n56917 85385\n47224 70942\n69544 100000\n4419 6663\n36073 54251\n75067 100000\n30514 45966\n39084 58795\n19008 28634\n30750 46321\n65787 98660\n29652 44660\n50960 76499\n45151 67858\n98667 100000\n96301 100000\n88912 100000\n23791 35863\n72826 100000\n4674 7050\n84179 100000\n72935 100000\n25854 38976\n74133 100000\n1066 1593\n86573 100000\n13091 19719\n89023 100000\n33739 50798\n54235 81371\n18328 27620\n43566 65490\n90154 100000\n82754 100000\n3094 4677\n32900 49538\n20039 30181\n73840 100000\n94171 100000\n46463 69801\n55827 83763\n78184 100000\n52926 79449\n50278 75485\n8243 12381\n26792 40357\n61614 92435\n88459 100000\n60922 91400\n73675 100000\n82295 100000\n89849 100000\n78614 100000\n52211 78382\n39166 58924\n99001 100000\n49951 74992\n4352 6563\n55364 83083\n73116 100000\n46762 70246\n62312 93475\n71474 100000\n81146 100000\n41570 62517\n35803 53849\n97389 100000\n53987 81012\n66357 99533\n16575 24963\n30746 46316\n15477 23317\n76563 100000\n40370 60720\n15183 22866\n45570 68461\n32952 49622\n41874 62972\n3616 5458\n81456 100000\n62869 94285\n92134 100000\n26210 39486\n41157 61911\n14335 21571\n59628 89453\n5645 8474\n58349 87523\n92786 100000\n6783 10186\n54341 81528\n60688 91056\n77594 100000\n78104 100000\n87861 100000\n81603 100000\n39173 58936\n1041 1554\n20549 30944\n53937 80935\n23495 35409\n8666 13011\n52602 78972\n41122 61856\n63686 95531\n75143 100000\n42303 63605\n77893 100000\n38568 58026\n80262 100000\n23820 35905\n27430 41306\n87481 100000\n24754 37311\n57231 85855\n96302 100000\n56151 84245\n54701 82065\n31585 47569\n30154 45434\n677 1011\n18700 28187\n81339 100000\n49873 74881\n99222 100000\n33682 50711\n21926 33059\n41166 61924\n57084 85633\n50189 75355\n46065 69198\n89724 100000\n52061 78147\n58611 87904\n38243 57538\n59039 88572\n76005 100000\n98009 100000\n65096 97629\n6346 9529\n52907 79425\n40932 61560\n34132 51381\n40782 61339\n64018 96025\n95704 100000\n86571 100000\n73059 100000\n61205 91831\n48183 72353\n46222 69434\n56270 84419\n29677 44699\n88821 100000\n62142 93223\n83931 100000\n42514 63923\n46701 70151\n15705 23664\n39524 59461\n63402 95094\n63046 94551\n8847 13291\n95327 100000\n11535 17362\n72985 100000\n69021 100000\n9855 14817\n29315 44145\n43481 65359\n5953 8950\n30651 46170\n33558 50521\n52389 78646\n92950 100000\n12106 18210\n55595 83429\n57224 85845\n10264 15441\n78384 100000\n92233 100000\n57725 86585\n48548 72904\n83328 100000\n95864 100000\n84887 100000\n8133 12219\n96895 100000\n2843 4310\n42314 63621\n34531 51965\n14136 21291\n70297 100000\n46794 70289\n88506 100000\n40483 60889\n13801 20780\n80213 100000\n29418 44297\n3204 4847\n23712 35742\n38251 57551\n65303 97947\n57327 86009\n67876 100000\n47080 70734\n56818 85233\n71742 100000\n2801 4248\n86355 100000\n32457 48872\n40303 60618\n23663 35668\n11035 16606\n75975 100000\n27894 42002\n26362 39716\n10796 16235\n86328 100000\n50913 76437\n33747 50809\n40358 60700\n46327 69597\n95725 100000\n18974 28581\n11597 17451\n69943 100000\n88448 100000\n93882 100000\n23444 35329\n94444 100000\n47039 70671\n17022 25641\n62939 94390\n75326 100000\n61966 92956\n54338 81523\n1330 1992\n27271 41074\n98406 100000\n21152 31882\n82331 100000\n83429 100000\n96764 100000\n24757 37317\n12900 19427\n3961 5979\n66873 100000\n27177 40931\n44227 66463\n9207 13832\n70761 100000\n55809 83737\n48764 73221\n7404 11125\n84871 100000\n37685 56671\n9045 13590\n65712 98558\n1967 2969\n85417 100000\n13770 20736\n94528 100000\n30077 45316\n62659 93986\n98571 100000\n82412 100000\n48770 73230\n70740 100000\n17160 25856\n58529 87779\n42317 63625\n36449 54823\n22406 33768\n44172 66384\n65939 98898\n95926 100000\n70467 100000\n32629 49134\n41516 62440\n15637 23560\n72117 100000\n2381 3600\n47568 71455\n93259 100000\n33406 50292\n75488 100000\n91160 100000\n67877 100000\n94485 100000\n69227 100000\n28874 43477\n56537 84816\n29350 44199\n40672 61169\n87899 100000\n25263 38075\n44981 67601\n94981 100000\n85423 100000\n81170 100000\n27185 40945\n6103 9163\n4018 6061\n69684 100000\n77275 100000\n81189 100000\n93885 100000\n62859 94270\n51811 77783\n72964 100000\n39802 59879\n8484 12741\n63781 95675\n89342 100000\n51170 76811\n79057 100000\n84778 100000\n42774 64301\n69543 100000\n5859 8806\n22784 34327\n5982 8990\n91635 100000\n86226 100000\n9226 13862\n12528 18846\n76756 100000\n98229 100000\n62045 93076\n18933 28523\n82108 100000\n53287 79993\n59291 88947\n82834 100000\n21186 31934\n13916 20957\n16421 24737\n31278 47106\n22562 33995\n38814 58393\n53737 80645\n94336 100000\n1491 2239\n62723 94075\n31617 47617\n8434 12657\n54999 82517\n58850 88279\n73658 100000\n87576 100000\n63884 95827\n96183 100000\n61879 92830\n40014 60188\n13409 20196\n27912 42028\n74605 100000\n69423 100000\n26073 39287\n40973 61624\n63622 95435\n85765 100000\n27853 41936\n90111 100000\n78307 100000\n91948 100000\n40522 60946\n60396 90616\n92721 100000\n87933 100000\n34307 51642\n47113 70784\n70965 100000\n41062 61762\n94065 100000\n7211 10834\n27902 42014\n85636 100000\n72485 100000\n18951 28551\n60372 90579\n70896 100000\n11526 17347\n84717 100000\n91130 100000\n5189 7806\n32110 48358\n38523 57959\n47615 71525\n8734 13120\n83191 100000\n217 314\n56919 85389\n73433 100000\n83407 100000\n75247 100000\n72952 100000\n87656 100000\n72228 100000\n90210 100000\n28167 42415\n54071 81128\n5411 8126\n26709 40233\n91148 100000\n66345 99515\n20879 31463\n97154 100000\n51203 76860\n14052 21163\n87677 100000\n90711 100000\n69841 100000\n92628 100000\n22411 33775\n82881 100000\n6818 10235\n91603 100000\n57917 86881\n64156 96227\n75716 100000\n19937 30029\n31963 48136\n50955 76493\n42312 63618\n55425 83176\n9248 13897\n38185 57451\n14966 22540\n39638 59632\n96664 100000\n9750 14655\n63328 94982\n78380 100000\n68189 100000\n40726 61252\n87 130\n454 672\n29454 44351\n58319 87475\n61357 92059\n55767 83672\n31238 47045\n12070 18154\n82307 100000\n89852 100000\n31167 46938\n38815 58395\n70879 100000\n7540 11330\n8142 12235\n37095 55790\n61929 92904\n29225 44009\n7591 11406\n63485 95216\n25343 38191\n46665 70096\n28968 43622\n33577 50551\n95573 100000\n41133 61874\n59606 89420\n81771 100000\n71754 100000\n79174 100000\n33210 50008\n76390 100000\n74540 100000\n39441 59336\n19332 29124\n49379 74149\n92803 100000\n24942 37599\n84196 100000\n55145 82742\n47053 70692\n57545 86319\n37697 56690\n42168 63405\n66576 99857\n39199 58972\n40429 60805\n15401 23207\n77850 100000\n52096 78200\n27437 41315\n65487 98235\n96641 100000\n2796 4238\n70235 100000\n9125 13712\n24975 37647\n46415 69730\n25175 37938\n69392 100000\n15169 22847\n16426 24743\n48718 73150\n73495 100000\n25451 38362\n91921 100000\n69228 100000\n15655 23589\n99281 100000\n41879 62979\n24818 37416\n31555 47526\n35711 53711\n41976 63125\n84441 100000\n44533 66929\n52752 79187\n21417 32288\n10566 15887\n36312 54615\n47431 71249\n67414 100000\n10729 16139\n49169 73831\n18639 28095\n58117 87180\n24074 36289\n28665 43157\n3874 5839\n13989 21063\n47734 71693\n88421 100000\n4994 7521\n75285 100000\n40638 61121\n89592 100000\n68631 100000\n67772 100000\n48096 72230\n6627 9944\n26317 39647\n68906 100000\n93096 100000\n40549 60991\n82526 100000\n30541 46003\n36064 54235\n3179 4809\n41263 62062\n40588 61047\n71916 100000\n44398 66728\n98630 100000\n71234 100000\n74257 100000\n74322 100000\n77536 100000\n43986 66111\n28107 42321\n92922 100000\n2187 3313\n92209 100000\n14123 21271\n19801 29813\n61436 92178\n99290 100000\n43247 65012\n39542 59485\n88148 100000\n13245 19949\n48762 73219\n4746 7160\n87423 100000\n29825 44926\n77489 100000\n74253 100000\n88108 100000\n54601 81921\n44253 66503\n48051 72167\n83810 100000\n73773 100000\n76084 100000\n5067 7627\n27063 40756\n15232 22938\n88873 100000\n5590 8392\n63637 95460\n37985 57139\n1000 1494\n13479 20300\n19358 29159\n33868 50995\n45060 67719\n95200 100000\n2369 3583\n94017 100000\n76520 100000\n77346 100000\n37928 57051\n59725 89597\n83705 100000\n16249 24489\n45289 68061\n57308 85979\n33279 50113\n44239 66482\n2115 3200\n62030 93057\n97026 100000\n12788 19255\n21898 33016\n92451 100000\n3246 4913\n26513 39944\n55950 83941\n46154 69332\n92054 100000\n8301 12465\n74852 100000\n38233 57524\n55065 82618\n92686 100000\n71538 100000\n11687 17588\n55579 83404\n84292 100000\n36886 55476\n34322 51664\n65288 97924\n6064 9105\n68249 100000\n32728 49271\n31174 46948\n34819 52390\n85472 100000\n82806 100000\n51140 76764\n44506 66887\n73142 100000\n16514 24877\n88426 100000\n27944 42072\n58953 88438\n25112 37849\n42857 64425\n50190 75356\n2164 3276\n29196 43970\n59677 89521\n35543 53455\n33986 51168\n47520 71386\n4221 6366\n22281 33586\n1651 2486\n15013 22606\n29888 45018\n93057 100000\n5733 8612\n59290 88945\n77662 100000\n4529 6828\n691 1034\n73639 100000\n6283 9437\n52990 79549\n24147 36395\n17723 26707\n97565 100000\n93339 100000\n95482 100000\n56329 84503\n26046 39245\n93932 100000\n54214 81340\n9824 14770\n72245 100000\n76602 100000\n31727 47781\n77821 100000\n90663 100000\n69655 100000\n49657 74568\n81374 100000\n66291 99439\n22791 34337\n19570 29473\n31283 47115\n36125 54327\n96955 100000\n67986 100000\n53264 79956\n7626 11457\n50688 76094\n40636 61118\n93216 100000\n94373 100000\n85379 100000\n10079 15163\n10139 15251\n60334 90522\n87026 100000\n5367 8061\n4229 6377\n91879 100000\n97705 100000\n48293 72522\n55842 83785\n93282 100000\n6723 10091\n33821 50924\n76510 100000\n93136 100000\n7946 11940\n15931 24006\n4731 7133\n71469 100000\n4282 6454\n41629 62607\n61233 91872\n3865 5826\n75080 100000\n38391 57763\n74666 100000\n26222 39504\n94105 100000\n93034 100000\n83634 100000\n92286 100000\n60590 90907\n3045 4606\n3463 5237\n9806 14743\n8764 13161\n55107 82683\n68955 100000\n61313 91996\n64958 97424\n42526 63941\n56010 84037\n39506 59433\n14116 21260\n77658 100000\n72503 100000\n45652 68583\n20127 30312\n21869 32969\n52400 78664\n70889 100000\n23545 35491\n84903 100000\n44820 67366\n20380 30684\n26039 39235\n3280 4967\n58919 88383\n14878 22403\n7826 11757\n59945 89935\n50940 76473\n44215 66447\n6594 9894\n7968 11970\n54448 81692\n46705 70158\n13055 19662\n57481 86227\n52201 78367\n97832 100000\n9661 14523\n51411 77162\n46249 69475\n91448 100000\n29765 44836\n25522 38471\n51821 77799\n20018 30152\n85735 100000\n82682 100000\n61231 91870\n9627 14473\n3698 5580\n17643 26588\n81408 100000\n17337 26122\n36561 54995\n61540 92327\n74829 100000\n92246 100000\n88599 100000\n43879 65943\n19864 29915\n46855 70382\n47018 70638\n62592 93883\n52493 78799\n19458 29307\n93892 100000\n88512 100000\n20894 31486\n83629 100000\n40551 60994\n91792 100000\n64371 96548\n29790 44868\n99819 100000\n32887 49518\n11819 17783\n41249 62043\n81322 100000\n77788 100000\n71369 100000\n80030 100000\n7317 10993\n42211 63469\n808 1209\n3052 4616\n34870 52463\n5322 7994\n64857 97276\n76678 100000\n67294 100000\n12058 18135\n9101 13673\n65152 97719\n24258 36561\n46235 69453\n48161 72320\n8581 12884\n46778 70267\n94799 100000\n7077 10626\n44252 66502\n99111 100000\n1159 1729\n49500 74332\n22610 34062\n84484 100000\n73331 100000\n89574 100000\n46899 70446\n42627 64091\n7501 11277\n70627 100000\n78865 100000\n92847 100000\n99530 100000\n3971 5993\n36196 54433\n93787 100000\n81492 100000\n40779 61335\n60847 91296\n8557 12846\n69322 100000\n37335 56147\n78008 100000\n9989 15024\n43672 65642\n79141 100000\n5129 7715\n89982 100000\n78123 100000\n27846 41927\n48598 72969\n17737 26731\n82520 100000\n86848 100000\n15755 23732\n53091 79704\n30698 46242\n45152 67859\n21375 32229\n49600 74489\n3735 5636\n63855 95785\n1644 2476\n64744 97107\n96997 100000\n80159 100000\n14221 21408\n95283 100000\n42293 63592\n90547 100000\n93642 100000\n31927 48083\n92903 100000\n97393 100000\n49855 74854\n83141 100000\n96613 100000\n58866 88306\n90034 100000\n32444 48853\n31680 47708\n57755 86632\n95789 100000\n5506 8264\n4132 6234\n41580 62532\n93545 100000\n45344 68145\n91953 100000\n50936 76467\n47187 70888\n82290 100000\n17990 27104\n85437 100000\n53943 80943\n21879 32985\n99279 100000\n2895 4391\n39878 59990\n46900 70447\n93392 100000\n50709 76129\n87889 100000\n46050 69174\n77368 100000\n6851 10286\n40344 60680\n11275 16965\n92129 100000\n75723 100000\n41306 62132\n75511 100000\n56882 85331\n21692 32698\n1638 2466\n71966 100000\n48681 73096\n54730 82104\n73948 100000\n26646 40141\n82724 100000\n6935 10410\n70136 100000\n54956 82456\n12338 18556\n17856 26899\n55483 83258\n82309 100000\n66236 99353\n87543 100000\n94965 100000\n37355 56177\n93966 100000\n75343 100000\n64832 97240\n96283 100000\n72686 100000\n72678 100000\n45083 67755\n24306 36633\n48621 73000\n14360 21610\n43775 65789\n36190 54425\n43867 65926\n370 539\n54646 81986\n65266 97891\n46958 70541\n88727 100000\n52475 78774\n60544 90836\n32285 48625\n94648 100000\n39867 59975\n17156 25850\n20595 31017\n83193 100000\n47853 71874\n14898 22432\n98019 100000\n27511 41431\n26269 39573\n91352 100000\n15054 22668\n36896 55491\n51396 77140\n98435 100000\n42016 63182\n22314 33633\n83587 100000\n94923 100000\n97015 100000\n56508 84771\n88483 100000\n68007 100000\n45762 68744\n43605 65547\n37260 56039\n96851 100000\n91028 100000\n81163 100000\n71817 100000\n35735 53748\n39422 59310\n58155 87234\n34740 52277\n15047 22658\n19667 29619\n46717 70178\n51392 77134\n45704 68659\n45074 67740\n61569 92366\n16790 25283\n64082 96118\n44472 66833\n8101 12168\n28656 43143\n34441 51836\n19012 28640\n25568 38534\n7412 11137\n31032 46727\n65328 97981\n88563 100000\n79017 100000\n58341 87511\n77058 100000\n20022 30157\n42683 64174\n35108 52819\n65671 98501\n29519 44455\n35539 53451\n50998 76556\n82089 100000\n98133 100000\n14311 21536\n74094 100000\n47389 71187\n85790 100000\n89281 100000\n44532 66928\n24320 36654\n90773 100000\n19069 28720\n69563 100000\n19283 29052\n13138 19793\n46168 69355\n40004 60174\n72009 100000\n66437 99652\n65626 98439\n49064 73670\n63385 95067\n14440 21733\n9607 14444\n77535 100000\n39729 59769\n85616 100000\n38223 57509\n92348 100000\n24492 36908\n87714 100000\n71447 100000\n89971 100000\n58776 88167\n64067 96092\n60921 91399\n58366 87546\n60307 90478\n20434 30768\n7746 11639\n15376 23167\n4468 6735\n49415 74201\n89703 100000\n2084 3150\n16509 24870\n62857 94268\n7882 11845\n11952 17975\n21501 32416\n19838 29872\n5755 8641\n35383 53224\n55728 83619\n49233 73930\n90452 100000\n4101 6187\n2112 3194\n60954 91449\n58791 88191\n57537 86309\n52305 78518\n62671 94003\n44741 67245\n83348 100000\n47956 72026\n76630 100000\n15053 22667\n43573 65498\n91982 100000\n46093 69238\n79038 100000\n90250 100000\n87870 100000\n88854 100000\n42624 64085\n24213 36493\n33283 50119\n51439 77203\n72426 100000\n90592 100000\n53111 79734\n59553 89345\n29657 44668\n68086 100000\n97783 100000\n4948 7457\n43056 64726\n53658 80526\n5530 8298\n97770 100000\n44234 66474\n22586 34026\n46476 69819\n56604 84913\n2644 3996\n28633 43109\n31850 47968\n25150 37902\n39762 59815\n20966 31593\n49011 73587\n94769 100000\n67280 100000\n71381 100000\n17017 25633\n79462 100000\n59137 88717\n14054 21166\n56715 85086\n18363 27675\n89731 100000\n81733 100000\n14306 21531\n28036 42205\n72089 100000\n36992 55636\n44930 67520\n50603 75971\n14902 22439\n21679 32681\n54193 81310\n17449 26287\n46935 70502\n4448 6705\n46635 70055\n71044 100000\n38670 58169\n39205 58980\n76160 100000\n77801 100000\n43233 64988\n35510 53413\n55447 83207\n1974 2977\n6915 10377\n19406 29229\n1188 1773\n70655 100000\n95519 100000\n38384 57752\n17186 25895\n53647 80509\n37639 56603\n76153 100000\n16087 24241\n81485 100000\n23793 35866\n59955 89948\n28750 43292\n68888 100000\n85846 100000\n80872 100000\n13843 20843\n68023 100000\n91356 100000\n52843 79324\n16629 25046\n54248 81390\n25660 38684\n19279 29044\n27907 42022\n93847 100000\n72299 100000\n85240 100000\n16202 24412\n47566 71452\n54847 82283\n56390 84598\n10422 15677\n51651 77535\n26726 40259\n69041 100000\n40261 60547\n7451 11201\n54347 81540\n43886 65954\n85234 100000\n7295 10957\n29710 44749\n69092 100000\n70914 100000\n14992 22578\n35438 53310\n38096 57317\n38927 58565\n96941 100000\n46942 70515\n13656 20560\n99766 100000\n42636 64105\n80341 100000\n6704 10062\n10981 16530\n16892 25438\n48867 73371\n68827 100000\n18277 27544\n5236 7877\n30571 46051\n27690 41698\n4634 6989\n63429 95133\n8730 13113\n21713 32727\n65697 98538\n87196 100000\n79321 100000\n10390 15632\n19745 29741\n90702 100000\n9757 14667\n31721 47773\n48737 73182\n9409 14141\n28604 43066\n96055 100000\n11710 17622\n96351 100000\n74490 100000\n5713 8584\n91323 100000\n40105 60324\n5535 8306\n40162 60406\n71019 100000\n47420 71230\n89060 100000\n50545 75881\n53451 80230\n3171 4796\n49111 73737\n52995 79556\n8768 13167\n30236 45558\n5300 7964\n43378 65214\n48157 72314\n77877 100000\n3977 6001\n77217 100000\n48053 72170\n46787 70279\n31472 47403\n17069 25716\n40555 61001\n76051 100000\n58484 87713\n53996 81024\n40799 61366\n65209 97811\n13930 20978\n23037 34716\n89270 100000\n56600 84907\n1593 2396\n76730 100000\n86595 100000\n89739 100000\n38877 58488\n55917 83893\n47906 71953\n48688 73105\n38317 57658\n54879 82334\n81599 100000\n20255 30498\n72643 100000\n47787 71775\n83767 100000\n9441 14192\n2275 3445\n38257 57561\n84245 100000\n64145 96209\n2558 3869\n37378 56212\n34973 52610\n19961 30067\n60698 91072\n99919 100000\n68815 100000\n59196 88803\n53777 80699\n70917 100000\n10678 16059\n54161 81262\n72739 100000\n3485 5267\n25805 38904\n55748 83645\n18924 28511\n45965 69049\n95359 100000\n90295 100000\n17868 26917\n45545 68427\n7341 11029\n26601 40073\n41214 61998\n88374 100000\n22588 34028\n44285 66553\n30006 45202\n63380 95057\n44666 67130\n77611 100000\n19134 28822\n73915 100000\n96624 100000\n90060 100000\n86419 100000\n59698 89555\n8766 13163\n31279 47107\n58840 88265\n94314 100000\n35752 53772\n39922 60047\n26389 39758\n28413 42779\n36543 54962\n7208 10828\n10448 15717\n33815 50914\n76231 100000\n92836 100000\n61953 92938\n72405 100000\n65518 98282\n59931 89914\n17089 25745\n69666 100000\n12854 19353\n17025 25645\n77618 100000\n95673 100000\n1917 2891\n67228 100000\n3503 5293\n47387 71184\n24872 37497\n77990 100000\n92877 100000\n48769 73229\n23251 35039\n70758 100000\n90036 100000\n77710 100000\n73896 100000\n88462 100000\n83082 100000\n37372 56205\n92235 100000\n799 1196\n89112 100000\n27526 41456\n21764 32806\n25206 37985\n3643 5499\n13361 20124\n22396 33751\n11250 16925\n12809 19291\n18145 27333\n33223 50027\n60830 91272\n39882 59995\n37235 56002\n9585 14411\n64397 96587\n83301 100000\n87630 100000\n46107 69259\n44080 66245\n89381 100000\n95837 100000\n63235 94841\n65195 97790\n40447 60831\n2104 3182\n6555 9837\n27245 41034\n42320 63630\n94220 100000\n923 1380\n87935 100000\n87871 100000\n58779 88172\n33324 50178\n16854 25378\n47433 71251\n87675 100000\n10254 15425\n60714 91098\n3747 5656\n92713 100000\n79921 100000\n59794 89704\n44301 66574\n59673 89516\n77516 100000\n99424 100000\n71211 100000\n39055 58752\n62755 94122\n74310 100000\n65526 98291\n88917 100000\n15618 23531\n32572 49053\n33109 49864\n85352 100000\n54431 81665\n30486 45923\n50730 76159\n38932 58573\n86715 100000\n24654 37149\n34138 51388\n68606 100000\n69485 100000\n34626 52104\n40884 61493\n37860 56948\n3331 5037\n9404 14134\n59555 89347\n34384 51752\n77798 100000\n24598 37065\n79983 100000\n90354 100000\n10255 15426\n97526 100000\n33026 49743\n49637 74538\n50571 75920\n10503 15794\n84147 100000\n33203 49998\n25580 38554\n68941 100000\n54860 82306\n35105 52814\n32176 48461\n94826 100000\n55086 82649\n30029 45240\n64601 96892\n6391 9596\n28330 42653\n23008 34675\n60260 90410\n96698 100000\n213 309\n38980 58640\n3004 4545\n57 82\n39636 59629\n70812 100000\n37959 57098\n73324 100000\n7445 11191\n25709 38758\n26963 40617\n21502 32417\n6036 9065\n97569 100000\n19353 29152\n24570 37022\n31397 47286\n45716 68679\n1583 2379\n46519 69884\n24763 37324\n62520 93773\n26556 40009\n9753 14660\n88890 100000\n73061 100000\n71201 100000\n37607 56555\n75894 100000\n37001 55651\n18320 27609\n52533 78865\n18288 27560\n71444 100000\n58664 87982\n39600 59575\n96537 100000\n66845 100000\n69279 100000\n34516 51944\n23982 36147\n83859 100000\n34660 52159\n47740 71702\n86026 100000\n32883 49511\n79517 100000\n83671 100000\n62565 93847\n23737 35780\n96834 100000\n43206 64949\n64000 95995\n8355 12542\n973 1454\n82072 100000\n33024 49741\n90056 100000\n7864 11815\n961 1436\n53240 79925\n92152 100000\n85841 100000\n21099 31798\n54072 81129\n29779 44853\n58687 88018\n96279 100000\n71613 100000\n89410 100000\n79530 100000\n34046 51251\n12630 19003\n5517 8282\n48192 72369\n76507 100000\n48060 72181\n33190 49979\n47169 70864\n3584 5410\n42482 63876\n46758 70240\n7673 11531\n56547 84830\n33012 49719\n70689 100000\n50769 76214\n24812 37407\n92818 100000\n54415 81642\n12592 18945\n19572 29475\n28548 42979\n9507 14293\n308 445\n16155 24346\n36465 54847\n70376 100000\n4087 6168\n60660 91012\n26256 39556\n53646 80508\n71186 100000\n90849 100000\n5090 7661\n17247 25993\n1160 1730\n51642 77521\n94340 100000\n8196 12315\n40653 61141\n73022 100000\n74590 100000\n68790 100000\n26749 40294\n31502 47448\n40974 61626\n51310 77011\n89525 100000\n31337 47194\n30243 45570\n24583 37043\n34431 51820\n8399 12607\n30038 45253\n8491 12753\n24151 36399\n7767 11668\n8265 12411\n90401 100000\n32686 49212\n25664 38691\n68477 100000\n63671 95511\n47430 71247\n68796 100000\n56638 84965\n74675 100000\n93876 100000\n31314 47159\n43644 65604\n75495 100000\n77274 100000\n12668 19066\n66790 100000\n89985 100000\n80654 100000\n35009 52667\n53803 80742\n52355 78597\n70167 100000\n701 1051\n22006 33178\n89816 100000\n30368 45748\n27653 41643\n88261 100000\n71505 100000\n53869 80836\n17249 25995\n68419 100000\n21042 31708\n92099 100000\n3653 5513\n35925 54033\n93816 100000\n74061 100000\n39268 59073\n1081 1615\n76246 100000\n21313 32131\n27997 42144\n12734 19168\n15773 23760\n28392 42747\n91213 100000\n52888 79395\n54610 81934\n20940 31549\n94005 100000\n65224 97833\n30397 45791\n99781 100000\n36944 55563\n64721 97072\n44076 66239\n84096 100000\n2372 3588\n75357 100000\n83889 100000\n41396 62265\n66080 99108\n82567 100000\n17098 25758\n95735 100000\n99114 100000\n42962 64581\n73288 100000\n52942 79475\n47666 71597\n13404 20187\n95551 100000\n35704 53698\n49465 74276\n87516 100000\n34785 52339\n6788 10193\n49196 73873\n10889 16380\n93274 100000\n31280 47109\n54413 81640\n49098 73718\n55849 83794\n84277 100000\n37044 55719\n43932 66027\n7593 11409\n24831 37439\n55618 83460\n40620 61094\n40460 60855\n66558 99830\n19537 29428\n29033 43721\n80245 100000\n10120 15224\n99829 100000\n17935 27021\n23331 35160\n57685 86521\n62840 94245\n38995 58661\n93648 100000\n11155 16787\n88205 100000\n67479 100000\n48749 73199\n49136 73777\n65944 98905\n66982 100000\n83737 100000\n38114 57343\n77985 100000\n26645 40139\n93351 100000\n11200 16852\n50910 76431\n64195 96284\n24089 36310\n34462 51866\n10703 16099\n37438 56302\n33915 51064\n89520 100000\n77101 100000\n80128 100000\n36067 54240\n19676 29634\n26551 40002\n23895 36018\n57043 85575\n51266 76952\n18577 28004\n27682 41686\n6246 9380\n58606 87896\n6112 9177\n77116 100000\n21863 32958\n41302 62125\n38719 58241\n87886 100000\n92797 100000\n55371 83094\n64876 97304\n83058 100000\n17782 26791\n81427 100000\n30227 45543\n47121 70793\n21701 32709\n16149 24337\n16034 24160\n37980 57131\n57210 85823\n73136 100000\n74774 100000\n67779 100000\n79981 100000\n13313 20053\n30790 46375\n20489 30856\n72754 100000\n31750 47814\n96502 100000\n64932 97387\n38622 58099\n56802 85206\n17524 26400\n67977 100000\n44566 66976\n61637 92472\n45750 68727\n147 214\n48790 73259\n82658 100000\n18185 27400\n11540 17369\n27593 41553\n46775 70262\n61797 92706\n12360 18592\n75253 100000\n57849 86773\n72364 100000\n4209 6347\n66676 100000\n56349 84533\n67702 100000\n74932 100000\n96716 100000\n18649 28111\n38624 58101\n24651 37145\n13816 20803\n6914 10376\n90105 100000\n72199 100000\n89949 100000\n78933 100000\n5292 7954\n35972 54100\n59678 89522\n9772 14691\n6942 10421\n7400 11120\n40599 61065\n27366 41210\n66370 99553\n34517 51945\n85052 100000\n70295 100000\n43791 65815\n4409 6648\n56089 84153\n76960 100000\n48255 72463\n44795 67329\n24688 37205\n28696 43206\n49734 74679\n41281 62092\n28582 43032\n29623 44616\n45855 68883\n71318 100000\n4345 6553\n41233 62023\n51597 77448\n35653 53614\n33940 51103\n13445 20248\n21592 32548\n82106 100000\n54466 81723\n22332 33660\n85722 100000\n7440 11183\n60586 90900\n31353 47219\n25110 37845\n60953 91447\n303 438\n56368 84561\n36285 54574\n23271 35072\n30124 45388\n69578 100000\n63525 95276\n60571 90877\n37643 56611\n79752 100000\n58267 87399\n62717 94067\n790 1184\n20500 30872\n74873 100000\n23710 35738\n46730 70197\n50056 75148\n29396 44266\n14716 22153\n5717 8590\n50418 75690\n30100 45352\n54122 81200\n62735 94092\n19533 29421\n36835 55400\n57612 86411\n67183 100000\n77997 100000\n23987 36156\n46370 69662\n1946 2937\n30187 45483\n40127 60355\n22295 33605\n43692 65669\n30765 46340\n33263 50089\n19634 29570\n6755 10140\n68935 100000\n66925 100000\n13523 20358\n1590 2391\n52510 78825\n53873 80843\n54017 81054\n29124 43855\n38483 57893\n56976 85474\n90298 100000\n44479 66844\n7851 11795\n98266 100000\n12371 18609\n56562 84849\n84970 100000\n22011 33186\n22301 33613\n18947 28544\n5385 8085\n32213 48517\n8075 12133\n69327 100000\n26028 39221\n25278 38093\n37574 56506\n10642 16001\n69531 100000\n43217 64964\n82945 100000\n58368 87548\n60266 90418\n57410 86129\n76070 100000\n74753 100000\n23514 35442\n58077 87118\n74421 100000\n79471 100000\n23947 36090\n84127 100000\n13985 21056\n67237 100000\n20043 30188\n75391 100000\n24234 36524\n29138 43874\n98139 100000\n37813 56877\n14480 21798\n13695 20619\n71832 100000\n24678 37187\n76973 100000\n89089 100000\n87877 100000\n85561 100000\n62218 93340\n52693 79099\n29549 44501\n69547 100000\n70158 100000\n10665 16037\n65481 98225\n56417 84638\n82311 100000\n65957 98924\n17287 26050\n62948 94403\n19614 29543\n40264 60553\n616 922\n28631 43106\n60390 90607\n24078 36294\n4338 6544\n2730 4128\n57340 86027\n88661 100000\n18753 28263\n34166 51429\n72932 100000\n46376 69671\n5225 7860\n37513 56412\n53988 81014\n23498 35414\n86866 100000\n72832 100000\n51200 76855\n47603 71508\n92985 100000\n37263 56043\n28176 42429\n40304 60619\n76485 100000\n54279 81439\n65880 98803\n8469 12715\n94002 100000\n50133 75272\n83357 100000\n197 284\n44010 66148\n81002 100000\n74179 100000\n62205 93318\n34428 51816\n51987 78042\n82223 100000\n19965 30073\n79514 100000\n39021 58702\n62178 93281\n46835 70349\n35251 53029\n85463 100000\n52912 79433\n66060 99078\n93435 100000\n65737 98593\n28345 42675\n75028 100000\n15542 23417\n56530 84805\n35053 52731\n25119 37861\n27402 41260\n13736 20680\n4416 6658\n67548 100000\n8356 12543\n56740 85122\n77539 100000\n7646 11488\n4636 6991\n84209 100000\n49620 74515\n98298 100000\n97317 100000\n59849 89793\n34501 51924\n50135 75274\n62868 94283\n1522 2284\n50764 76209\n78615 100000\n40976 61629\n28396 42754\n27664 41661\n21225 31990\n88645 100000\n10261 15436\n22965 34604\n79293 100000\n15652 23583\n30510 45960\n10116 15217\n52005 78066\n89109 100000\n78127 100000\n21542 32480\n96307 100000\n43807 65840\n2306 3492\n81873 100000\n2134 3230\n62092 93146\n6829 10251\n66563 99837\n70969 100000\n34059 51270\n31990 48178\n8583 12887\n12103 18205\n36584 55033\n70490 100000\n99483 100000\n58246 87367\n18640 28097\n77296 100000\n8677 13030\n34395 51767\n68124 100000\n16187 24391\n8139 12230\n62882 94306\n41415 62292\n29283 44098\n24801 37389\n44104 66281\n31281 47111\n90796 100000\n19345 29141\n21479 32383\n2113 3196\n11705 17616\n26991 40658\n76229 100000\n26899 40524\n72283 100000\n59342 89021\n5487 8238\n67208 100000\n44699 67183\n68255 100000\n40933 61561\n21005 31657\n16757 25233\n46830 70342\n53337 80066\n77333 100000\n94387 100000\n92218 100000\n28317 42639\n43567 65491\n6099 9155\n44402 66733\n20433 30766\n3696 5577\n65057 97571\n77238 100000\n57411 86130\n34404 51781\n11129 16753\n55055 82603\n9941 14948\n33177 49960\n18325 27616\n24937 37593\n79430 100000\n69326 100000\n36065 54237\n82034 100000\n93754 100000\n98671 100000\n18053 27197\n67261 100000\n11532 17358\n27357 41197\n99176 100000\n99343 100000\n21482 32387\n47953 72021\n6937 10414\n26650 40147\n95284 100000\n23347 35185\n48962 73515\n81376 100000\n52042 78122\n79719 100000\n29052 43751\n57202 85811\n66347 99518\n45951 69027\n3799 5729\n61955 92942\n72424 100000\n70784 100000\n93380 100000\n22688 34180\n11031 16601\n17188 25899\n33633 50639\n4319 6513\n26772 40328\n95807 100000\n2686 4058\n9992 15030\n41086 61798\n92423 100000\n56652 84986\n21932 33068\n11723 17642\n98247 100000\n99770 100000\n35953 54074\n29310 44139\n31379 47259\n29152 43899\n76019 100000\n12077 18164\n15015 22609\n3858 5814\n37275 56061\n64480 96710\n70275 100000\n43288 65075\n11199 16851\n91815 100000\n65404 98100\n83174 100000\n39790 59861\n2603 3936\n10806 16254\n8899 13369\n81056 100000\n25264 38077\n94753 100000\n81930 100000\n22725 34237\n30422 45827\n82759 100000\n87063 100000\n32495 48933\n89937 100000\n74559 100000\n67268 100000\n39604 59580\n49860 74862\n56230 84365\n65141 97701\n23727 35762\n45046 67698\n66998 100000\n64592 96881\n71457 100000\n37875 56971\n48261 72472\n97644 100000\n66340 99507\n25 36\n43185 64916\n95207 100000\n85341 100000\n60532 90820\n1999 3020\n832 1246\n22780 34321\n27427 41302\n32980 49663\n93468 100000\n12732 19164\n35728 53738\n1507 2260\n37254 56030\n82316 100000\n77977 100000\n44257 66511\n99072 100000\n44219 66452\n50650 76041\n74194 100000\n18253 27503\n75219 100000\n42187 63435\n10475 15755\n10667 16041\n80686 100000\n59851 89797\n99240 100000\n80021 100000\n69978 100000\n97667 100000\n78694 100000\n55641 83494\n37315 56119\n61600 92415\n80462 100000\n47358 71141\n52203 78369\n58843 88270\n11323 17044\n2206 3342\n13109 19747\n70071 100000\n3979 6004\n42520 63933\n65252 97872\n9994 15033\n51757 77699\n66078 99106\n7476 11241\n86765 100000\n43310 65111\n32138 48399\n29035 43724\n74479 100000\n10411 15663\n57284 85941\n81777 100000\n91424 100000\n63081 94606\n44914 67497\n53086 79696\n16485 24829\n49032 73618\n82594 100000\n45485 68346\n40474 60876\n42920 64521\n42284 63577\n30505 45951\n38267 57579\n89098 100000\n11386 17135\n12596 18951\n38198 57473\n66364 99544\n49679 74600\n64140 96203\n62912 94349\n22207 33474\n32130 48385\n99301 100000\n52944 79478\n4837 7294\n92552 100000\n10341 15555\n87319 100000\n94097 100000\n27363 41206\n47470 71310\n66534 99794\n30419 45823\n8812 13239\n90600 100000\n18103 27273\n98840 100000\n19084 28743\n95336 100000\n98720 100000\n73823 100000\n70954 100000\n62670 94002\n36595 55050\n5029 7571\n76340 100000\n1847 2786\n31455 47375\n63894 95840\n75334 100000\n85310 100000\n57377 86078\n73242 100000\n11536 17364\n89235 100000\n349 505\n62734 94090\n14743 22191\n63252 94868\n75030 100000\n57717 86573\n49043 73635\n76276 100000\n6903 10360\n60171 90282\n30831 46429\n58867 88307\n738 1105\n64671 96995\n53283 79986\n88192 100000\n16665 25101\n19380 29191\n17592 26510\n61887 92843\n45627 68550\n17486 26345\n97942 100000\n26811 40386\n9387 14109\n32992 49685\n311 449\n19201 28923\n86618 100000\n98267 100000\n34284 51609\n1244 1863\n71455 100000\n8591 12900\n93051 100000\n23591 35559\n5308 7976\n61108 91686\n41959 63101\n52870 79364\n72627 100000\n11551 17387\n62153 93240\n3442 5206\n6051 9087\n15874 23921\n89734 100000\n16585 24976\n60878 91340\n3191 4826\n5736 8616\n30297 45644\n64288 96422\n62283 93432\n79548 100000\n46602 70006\n10383 15621\n68003 100000\n59023 88545\n42164 63400\n53212 79881\n53997 81025\n16136 24318\n16130 24310\n74227 100000\n56316 84484\n79327 100000\n94474 100000\n41488 62400\n68939 100000\n4097 6181\n5294 7956\n12958 19517\n68507 100000\n65119 97665\n13832 20827\n88926 100000\n22026 33208\n80727 100000\n36987 55629\n40098 60315\n32901 49540\n72714 100000\n93663 100000\n37543 56459\n4281 6452\n41985 63138\n24972 37643\n32946 49612\n60731 91128\n1136 1696\n37239 56009\n40977 61631\n24420 36804\n2409 3639\n80919 100000\n77447 100000\n45489 68350\n21035 31698\n8104 12172\n26502 39931\n16270 24519\n55830 83768\n13154 19820\n14741 22188\n59520 89292\n68866 100000\n65666 98494\n9554 14364\n21846 32934\n27962 42095\n4487 6764\n79987 100000\n46337 69612\n53954 80959\n31670 47695\n65921 98868\n6932 10405\n70101 100000\n76078 100000\n212 308\n28635 43112\n18679 28155\n43491 65374\n76013 100000\n47439 71261\n54343 81532\n47074 70722\n49645 74550\n27803 41867\n7265 10911\n55300 82982\n71133 100000\n14918 22465\n72087 100000\n30009 45207\n91297 100000\n61720 92596\n99357 100000\n86817 100000\n81532 100000\n94115 100000\n92801 100000\n90579 100000\n19356 29157\n79781 100000\n24305 36632\n31092 46818\n45713 68674\n38245 57541\n85704 100000\n12205 18363\n93327 100000\n38254 57556\n6170 9264\n32634 49140\n32650 49163\n81801 100000\n72481 100000\n91317 100000\n56162 84265\n82909 100000\n7458 11212\n51269 76955\n77735 100000\n2989 4523\n91099 100000\n451 668\n28987 43649\n41579 62531\n84971 100000\n66228 99340\n15727 23692\n54871 82321\n11412 17176\n86888 100000\n9991 15028\n37702 56697\n2732 4131\n89372 100000\n17464 26313\n90671 100000\n34452 51853\n42525 63939\n99839 100000\n26093 39316\n47088 70747\n23500 35418\n5565 8351\n97449 100000\n49317 74056\n69101 100000\n95485 100000\n46540 69912\n75610 100000\n30385 45774\n18026 27157\n74291 100000\n35114 52829\n21338 32172\n30410 45808\n69810 100000\n4080 6157\n23487 35395\n74214 100000\n44120 66307\n95026 100000\n23026 34701\n22635 34099\n82243 100000\n43987 66113\n89325 100000\n49185 73853\n21662 32658\n30262 45598\n33562 50528\n53602 80441\n29084 43797\n81751 100000\n92160 100000\n40542 60980\n84386 100000\n56828 85250\n49151 73802\n73926 100000\n52185 78341\n70776 100000\n44924 67510\n2517 3809\n88200 100000\n59318 88984\n32827 49428\n57003 85515\n28787 43349\n3086 4665\n5350 8037\n89244 100000\n78998 100000\n35757 53779\n17297 26065\n174 252\n2530 3828\n92495 100000\n78130 100000\n99341 100000\n6204 9320\n64580 96862\n19578 29486\n70010 100000\n15204 22895\n44616 67053\n40609 61078\n91558 100000\n64849 97264\n20996 31640\n98523 100000\n85075 100000\n25073 37793\n95562 100000\n17913 26988\n11812 17773\n84173 100000\n41075 61783\n47877 71911\n45240 67991\n73029 100000\n1265 1895\n45646 68576\n4594 6929\n11096 16701\n78866 100000\n57814 86722\n30043 45260\n36957 55583\n43011 64654\n29801 44886\n26178 39444\n15458 23285\n31344 47205\n71385 100000\n50577 75928\n52317 78540\n46612 70022\n63471 95194\n1052 1569\n74773 100000\n52580 78941\n56344 84527\n16313 24581\n86254 100000\n70094 100000\n87787 100000\n68913 100000\n21648 32636\n34296 51627\n17302 26072\n96876 100000\n75099 100000\n40688 61194\n56030 84063\n45786 68782\n94776 100000\n61395 92117\n38952 58599\n6249 9385\n13515 20348\n64347 96510\n88883 100000\n15650 23580\n4367 6584\n63580 95365\n64552 96820\n75722 100000\n96693 100000\n3234 4893\n48228 72427\n61931 92906\n66213 99315\n11416 17182\n82339 100000\n15505 23362\n73108 100000\n35924 54031\n31993 48183\n53574 80401\n71572 100000\n8209 12331\n58476 87702\n67119 100000\n34780 52332\n90167 100000\n66441 99657\n26560 40015\n53456 80237\n63594 95392\n74053 100000\n11695 17601\n34253 51560\n36645 55121\n87515 100000\n69704 100000\n12741 19180\n27262 41060\n84334 100000\n36156 54373\n85049 100000\n65187 97777\n8951 13448\n2946 4457\n68550 100000\n97294 100000\n926 1384\n77641 100000\n17265 26019\n98985 100000\n31435 47341\n26291 39609\n82449 100000\n65946 98908\n92174 100000\n8835 13274\n80957 100000\n97735 100000\n7100 10659\n98565 100000\n77656 100000\n14215 21400\n81320 100000\n10571 15894\n4285 6460\n43080 64760\n88623 100000\n25061 37775\n24190 36459\n56738 85120\n51836 77820\n43522 65424\n30180 45472\n98467 100000\n3441 5204\n92122 100000\n54640 81977\n13595 20469\n62777 94155\n16071 24217\n61412 92143\n52737 79163\n52187 78345\n9773 14693\n19597 29515\n11451 17236\n88366 100000\n61998 93008\n60014 90038\n64810 97208\n12950 19503\n20390 30699\n90506 100000\n93739 100000\n1956 2952\n79023 100000\n63117 94660\n49312 74048\n25610 38603\n78658 100000\n19834 29865\n5159 7763\n47844 71860\n18811 28348\n30199 45502\n9228 13864\n583 868\n24906 37551\n7446 11192\n2707 4090\n99039 100000\n57906 86863\n66789 100000\n62503 93751\n98016 100000\n3181 4811\n95657 100000\n24893 37531\n15987 24087\n48194 72373\n4198 6332\n17491 26350\n37444 56311\n23636 35625\n77703 100000\n58877 88320\n53655 80523\n61462 92215\n63908 95859\n32679 49203\n24259 36563\n61314 91998\n69046 100000\n62750 94112\n91451 100000\n99351 100000\n74572 100000\n32792 49372\n17742 26737\n85291 100000\n55096 82665\n83809 100000\n30260 45596\n52935 79463\n27652 41641\n70425 100000\n30003 45198\n6670 10013\n44951 67555\n64043 96060\n88703 100000\n847 1266\n58744 88117\n74570 100000\n37036 55708\n39775 59838\n36464 54846\n13115 19758\n53102 79721\n75079 100000\n61756 92649\n83044 100000\n11207 16862\n59229 88847\n57137 85714\n58968 88460\n87743 100000\n61574 92374\n22559 33991\n74777 100000\n13530 20370\n10327 15532\n36451 54826\n14775 22240\n57365 86062\n79226 100000\n61760 92655\n59393 89102\n98242 100000\n66613 99913\n66488 99726\n67428 100000\n3361 5086\n33111 49866\n25852 38972\n51969 78015\n10494 15780\n49895 74913\n6563 9849\n64619 96919\n37778 56820\n91788 100000\n72579 100000\n71942 100000\n71795 100000\n86229 100000\n35592 53524\n56458 84697\n75098 100000\n80326 100000\n46923 70484\n14429 21717\n70366 100000\n71608 100000\n27292 41104\n86349 100000\n45368 68177\n91284 100000\n8465 12707\n88038 100000\n34742 52280\n3291 4980\n85695 100000\n1015 1516\n1253 1876\n52027 78099\n67154 100000\n42604 64056\n75759 100000\n51967 78011\n2465 3725\n5019 7556\n15605 23510\n1634 2459\n30091 45338\n21529 32459\n4889 7375\n89894 100000\n29756 44824\n94828 100000\n75419 100000\n59995 90007\n792 1187\n23707 35733\n33909 51055\n49487 74313\n5491 8243\n60015 90040\n22643 34110\n2797 4240\n39601 59576\n9726 14620\n74166 100000\n34940 52563\n64879 97308\n69769 100000\n7167 10769\n79714 100000\n73026 100000\n38011 57180\n45066 67728\n83867 100000\n1314 1969\n51832 77815\n46228 69442\n95512 100000\n74089 100000\n16378 24677\n63696 95547\n19073 28726\n91853 100000\n15424 23238\n28391 42746\n77592 100000\n86433 100000\n8884 13348\n91576 100000\n95592 100000\n55965 83965\n71128 100000\n16310 24575\n89169 100000\n35619 53568\n3027 4579\n35395 53243\n18857 28412\n95027 100000\n38429 57818\n10952 16483\n86346 100000\n75052 100000\n16139 24324\n66604 99900\n35524 53432\n97093 100000\n51141 76765\n81417 100000\n90207 100000\n88023 100000\n6210 9327\n64668 96991\n33047 49769\n49259 73969\n11777 17721\n73341 100000\n95891 100000\n18020 27147\n67062 100000\n4311 6500\n91528 100000\n91114 100000\n71149 100000\n67396 100000\n29356 44208\n8813 13241\n8671 13019\n64027 96039\n18905 28483\n90473 100000\n10877 16360\n63493 95229\n63765 95648\n68252 100000\n56482 84732\n78814 100000\n33990 51173\n23835 35929\n17894 26957\n17762 26762\n78366 100000\n36430 54795\n53941 80941\n76062 100000\n76055 100000\n95448 100000\n38294 57620\n20465 30815\n58059 87095\n33201 49994\n74546 100000\n42786 64318\n99807 100000\n17954 27048\n14686 22109\n31587 47572\n58471 87694\n82308 100000\n46589 69987\n3919 5911\n88514 100000\n34357 51712\n21820 32890\n15608 23515\n2062 3114\n74905 100000\n34852 52437\n12947 19499\n10359 15583\n7376 11083\n87310 100000\n49423 74215\n83818 100000\n16251 24492\n25777 38862\n94329 100000\n5135 7725\n8311 12481\n40324 60648\n72093 100000\n95651 100000\n69463 100000\n96450 100000\n29883 45011\n11976 18012\n8393 12596\n14973 22550\n21022 31682\n44327 66614\n22715 34222\n35219 52984\n59569 89366\n5172 7779\n1687 2539\n32690 49217\n70355 100000\n27508 41427\n2471 3735\n27254 41047\n92748 100000\n59971 89971\n54722 82093\n66464 99692\n95124 100000\n47763 71738\n8943 13436\n12674 19077\n17730 26719\n11954 17978\n81968 100000\n57878 86820\n49149 73798\n58057 87092\n99214 100000\n71287 100000\n46196 69392\n4578 6907\n87443 100000\n2294 3472\n8968 13476\n18000 27122\n34893 52494\n4907 7401\n66795 100000\n37377 56211\n66538 99801\n85159 100000\n13053 19660\n62351 93533\n42316 63624\n3760 5676\n79354 100000\n15525 23388\n43192 64927\n22540 33961\n9287 13954\n62123 93193\n45854 68881\n38004 57166\n38137 57378\n14006 21092\n33599 50584\n10440 15703\n39547 59492\n62674 94007\n44107 66287\n56531 84807\n4577 6906\n38889 58507\n51103 76710\n75713 100000\n74324 100000\n58596 87878\n55201 82827\n74760 100000\n76248 100000\n9564 14379\n27910 42026\n70462 100000\n99330 100000\n80519 100000\n49788 74758\n15285 23020\n80529 100000\n145 211\n98246 100000\n12954 19510\n9837 14788\n73329 100000\n25632 38641\n4801 7241\n3057 4623\n87285 100000\n22010 33185\n57441 86175\n1203 1798\n22922 34534\n90112 100000\n76862 100000\n58649 87960\n1198 1790\n91984 100000\n91018 100000\n15080 22709\n5452 8185\n58772 88161\n17258 26008\n31780 47860\n59661 89499\n3790 5716\n23488 35397\n85314 100000\n69009 100000\n62326 93495\n36215 54464\n67738 100000\n65453 98179\n15124 22773\n85062 100000\n84281 100000\n89995 100000\n86563 100000\n28023 42182\n91915 100000\n46332 69604\n51912 77928\n47170 70866\n68141 100000\n96085 100000\n17353 26143\n85828 100000\n81023 100000\n75660 100000\n84358 100000\n15803 23812\n45475 68328\n22404 33764\n37122 55831\n11456 17243\n72495 100000\n98643 100000\n26375 39736\n77515 100000\n69190 100000\n32507 48953\n93632 100000\n95032 100000\n20420 30748\n88918 100000\n49880 74891\n80791 100000\n1413 2122\n52889 79397\n28106 42319\n96232 100000\n10761 16183\n95723 100000\n19659 29607\n21847 32935\n12597 18952\n80006 100000\n8186 12302\n78741 100000\n77043 100000\n61902 92869\n39725 59762\n17886 26946\n38865 58474\n41621 62592\n65032 97537\n22480 33875\n83567 100000\n99315 100000\n31468 47398\n52784 79235\n99838 100000\n2683 4054\n92571 100000\n7647 11490\n58542 87798\n6532 9807\n79786 100000\n82897 100000\n24218 36500\n53084 79693\n88677 100000\n67790 100000\n86770 100000\n62996 94474\n94616 100000\n77700 100000\n25661 38686\n22063 33262\n29343 44190\n63480 95208\n73074 100000\n65381 98064\n45319 68105\n13890 20919\n29093 43812\n82996 100000\n5388 8090\n24060 36265\n91051 100000\n71929 100000\n49689 74612\n30513 45964\n40701 61214\n63389 95072\n93172 100000\n55196 82819\n30895 46521\n47609 71516\n76503 100000\n48572 72933\n31612 47610\n27606 41572\n57476 86221\n11024 16590\n48318 72556\n4320 6515\n28853 43447\n30114 45371\n27130 40859\n63400 95091\n84490 100000\n78995 100000\n65457 98186\n67236 100000\n75870 100000\n39234 59023\n63814 95725\n90475 100000\n97462 100000\n6757 10144\n41179 61942\n33045 49766\n41172 61932\n42952 64567\n23558 35510\n23733 35774\n395 581\n76768 100000\n85575 100000\n31858 47980\n98578 100000\n48614 72990\n65334 97990\n18722 28217\n7323 11002\n55332 83029\n5256 7900\n51135 76756\n23367 35215\n6359 9549\n66916 100000\n5845 8783\n80307 100000\n82898 100000\n87259 100000\n73465 100000\n97883 100000\n2687 4060\n92738 100000\n84761 100000\n96815 100000\n31557 47529\n23016 34685\n78613 100000\n91036 100000\n97435 100000\n81137 100000\n97962 100000\n72039 100000\n93696 100000\n71355 100000\n22036 33220\n36037 54192\n50629 76011\n71129 100000\n56247 84389\n8867 13318\n70487 100000\n3555 5366\n54676 82027\n90910 100000\n97562 100000\n64982 97459\n93742 100000\n88736 100000\n46442 69770\n19001 28623\n34181 51452\n14470 21782\n73619 100000\n25883 39021\n43029 64682\n76662 100000\n11928 17940\n38879 58492\n7724 11605\n89195 100000\n19996 30117\n72817 100000\n52695 79102\n54714 82084\n39721 59756\n15782 23774\n56067 84121\n45238 67989\n34212 51497\n8358 12546\n62584 93872\n96280 100000\n46546 69921\n79384 100000\n80144 100000\n55258 82915\n51078 76670\n94456 100000\n18397 27722\n46188 69381\n59198 88806\n6303 9468\n34880 52477\n27302 41118\n34510 51935\n48226 72424\n92939 100000\n12085 18178\n16384 24684\n95814 100000\n25232 38026\n95871 100000\n76727 100000\n91648 100000\n14679 22099\n20892 31483\n76893 100000\n18212 27444\n99162 100000\n54340 81526\n64653 96968\n30707 46256\n7692 11556\n41084 61794\n21283 32085\n51636 77513\n51983 78036\n31445 47358\n19724 29710\n87710 100000\n92024 100000\n42856 64423\n95386 100000\n69832 100000\n42853 64418\n41238 62028\n50655 76048\n92147 100000\n23164 34912\n48120 72258\n16301 24562\n32644 49156\n35233 53005\n37900 57010\n94064 100000\n80438 100000\n56805 85211\n85710 100000\n48586 72954\n38193 57465\n55692 83570\n90865 100000\n98622 100000\n10488 15772\n83330 100000\n78125 100000\n33417 50310\n29814 44907\n52115 78232\n56453 84689\n32252 48571\n8130 12213\n53586 80418\n86716 100000\n85101 100000\n44113 66295\n30257 45591\n27438 41317\n45636 68563\n89607 100000\n11428 17199\n62608 93905\n41037 61725\n18149 27340\n51581 77424\n50816 76287\n70747 100000\n86798 100000\n95628 100000\n99171 100000\n84782 100000\n65338 97995\n97894 100000\n96227 100000\n5699 8561\n41828 62903\n79080 100000\n91468 100000\n60080 90138\n36881 55469\n72011 100000\n54781 82185\n19053 28695\n93218 100000\n35554 53470\n66287 99432\n55812 83741\n71001 100000\n69151 100000\n44364 66673\n20868 31448\n20037 30178\n19055 28698\n9624 14467\n94969 100000\n12379 18621\n39671 59684\n11651 17533\n56817 85231\n15465 23296\n91348 100000\n94714 100000\n49215 73903\n16322 24594\n16099 24261\n49522 74369\n96811 100000\n37249 56023\n18617 28063\n3149 4762\n93698 100000\n1624 2444\n39179 58944\n74972 100000\n7394 11111\n2571 3892\n78810 100000\n6241 9373\n37456 56328\n4623 6972\n93617 100000\n80644 100000\n83268 100000\n9476 14246\n1212 1813\n73425 100000\n46952 70532\n90006 100000\n20020 30154\n4426 6673\n73884 100000\n7653 11499\n40632 61112\n45254 68009\n91417 100000\n27583 41535\n20197 30415\n53705 80600\n72416 100000\n36888 55479\n97448 100000\n77640 100000\n70476 100000\n23209 34979\n14987 22572\n3609 5447\n2609 3946\n20931 31539\n47232 70954\n14762 22221\n59836 89776\n84873 100000\n5023 7563\n71589 100000\n59639 89468\n86679 100000\n45330 68124\n25971 39140\n52751 79185\n57306 85976\n93665 100000\n80585 100000\n36229 54484\n9411 14144\n28444 42826\n56381 84583\n80589 100000\n9120 13705\n45724 68689\n17031 25654\n5764 8655\n42869 64443\n30518 45970\n14641 22043\n91196 100000\n78812 100000\n2716 4106\n10171 15300\n95904 100000\n43241 65002\n2997 4536\n86802 100000\n32672 49192\n95969 100000\n74510 100000\n15314 23065\n70073 100000\n38344 57694\n31433 47339\n74340 100000\n10528 15830\n97554 100000\n51066 76654\n28892 43504\n95072 100000\n83795 100000\n20791 31327\n6124 9196\n76484 100000\n56266 84415\n49903 74925\n85081 100000\n4638 6994\n38704 58219\n51519 77328\n35941 54055\n26637 40127\n56702 85066\n20967 31594\n57737 86603\n26343 39686\n42310 63615\n44062 66220\n13734 20678\n48366 72631\n96099 100000\n70841 100000\n74597 100000\n6525 9798\n49741 74689\n50748 76188\n74384 100000\n33244 50063\n15411 23221\n62064 93104\n12918 19455\n97681 100000\n91857 100000\n95131 100000\n28097 42306\n42326 63639\n92137 100000\n4649 7011\n11884 17876\n81073 100000\n44338 66634\n71555 100000\n43504 65396\n98045 100000\n81194 100000\n73672 100000\n76471 100000\n28990 43653\n82931 100000\n849 1268\n19304 29083\n95470 100000\n39105 58828\n28433 42810\n32781 49356\n85488 100000\n11888 17882\n16986 25586\n79889 100000\n42060 63249\n1516 2274\n90976 100000\n42621 64081\n89086 100000\n54495 81770\n59381 89083\n87485 100000\n22821 34377\n70868 100000\n42540 63960\n68579 100000\n28600 43060\n66297 99445\n35789 53830\n99966 100000\n95380 100000\n53925 80918\n47416 71223\n93024 100000\n97906 100000\n74953 100000\n69150 100000\n72112 100000\n41557 62500\n81545 100000\n10600 15936\n19499 29373\n95833 100000\n61277 91939\n75518 100000\n40404 60770\n68589 100000\n95403 100000\n87221 100000\n61400 92124\n46012 69119\n26038 39234\n95020 100000\n79717 100000\n66348 99520\n50307 75528\n74803 100000\n51389 77129\n2587 3914\n65829 98728\n85864 100000\n70542 100000\n24050 36252\n48521 72865\n56021 84051\n30374 45757\n26602 40075\n14827 22321\n25029 37721\n65752 98617\n54472 81734\n67966 100000\n6087 9137\n31937 48101\n47384 71180\n16682 25128\n92178 100000\n58878 88322\n26164 39423\n26647 40143\n94219 100000\n66788 100000\n96532 100000\n99712 100000\n53982 81003\n89045 100000\n74668 100000\n70263 100000\n84762 100000\n59230 88849\n65058 97573\n8315 12488\n15180 22862\n84928 100000\n58178 87268\n29984 45171\n93988 100000\n7299 10962\n63296 94936\n61630 92463\n34262 51574\n81317 100000\n22451 33833\n76107 100000\n43385 65225\n66162 99244\n22427 33798\n74435 100000\n24653 37148\n29433 44321\n53156 79804\n78912 100000\n2236 3385\n24622 37103\n83068 100000\n41508 62427\n59390 89097\n8467 12711\n88848 100000\n31335 47192\n26399 39774\n27212 40986\n85302 100000\n72668 100000\n89540 100000\n63415 95114\n87343 100000\n63979 95965\n14560 21918\n48301 72532\n55345 83052\n13753 20707\n79015 100000\n91610 100000\n35874 53954\n94777 100000\n27627 41602\n64330 96483\n98924 100000\n22671 34154\n23309 35127\n25533 38485\n34123 51368\n88872 100000\n93692 100000\n35343 53162\n6056 9095\n52225 78401\n72705 100000\n22853 34429\n20736 31243\n80068 100000\n40384 60740\n4365 6582\n41511 62433\n19089 28750\n11978 18014\n49349 74107\n69142 100000\n70211 100000\n46860 70390\n79705 100000\n42118 63333\n84297 100000\n53356 80094\n71448 100000\n60859 91312\n49621 74517\n58015 87026\n13815 20802\n24177 36440\n47933 71990\n82718 100000\n4886 7370\n17832 26865\n45715 68677\n62966 94429\n99432 100000\n17597 26517\n64333 96488\n31878 48012\n6405 9614\n48233 72434\n40391 60752\n94339 100000\n83162 100000\n19973 30085\n83386 100000\n91059 100000\n74835 100000\n21747 32777\n71911 100000\n37738 56757\n33980 51158\n69673 100000\n81313 100000\n99418 100000\n71644 100000\n35452 53331\n65721 98571\n10940 16464\n7106 10669\n26144 39394\n46163 69347\n59666 89506\n4156 6271\n1257 1883\n8346 12530\n24382 36748\n86451 100000\n6354 9539\n76565 100000\n7334 11017\n69993 100000\n34545 51985\n65325 97976\n27849 41931\n74672 100000\n28331 42654\n34980 52621\n36677 55167\n6691 10044\n75987 100000\n64727 97081\n47856 71878\n61191 91810\n75055 100000\n519 767\n26493 39917\n62395 93595\n22454 33837\n23681 35696\n37306 56106\n86583 100000\n12943 19493\n53238 79923\n88056 100000\n61648 92490\n94943 100000\n22348 33681\n60114 90192\n9593 14422\n34507 51932\n52577 78937\n82625 100000\n76380 100000\n81099 100000\n36135 54343\n32116 48367\n57950 86932\n82980 100000\n14025 21123\n95272 100000\n26649 40145\n18475 27843\n56330 84504\n51628 77499\n98092 100000\n65193 97786\n34015 51210\n48631 73016\n15821 23841\n72212 100000\n2993 4530\n34000 51186\n39082 58791\n90707 100000\n87849 100000\n45835 68857\n93898 100000\n93360 100000\n60560 90862\n18074 27227\n26170 39431\n55459 83224\n30066 45295\n33512 50451\n17632 26570\n19271 29030\n25906 39055\n1443 2168\n61070 91626\n96826 100000\n1292 1939\n51143 76767\n26258 39559\n82345 100000\n75081 100000\n17995 27113\n34950 52576\n565 839\n49542 74397\n76759 100000\n59693 89546\n87264 100000\n98931 100000\n31913 48063\n93463 100000\n96132 100000\n30246 45575\n31972 48149\n57967 86958\n58131 87202\n66232 99347\n6272 9420\n95 143\n53932 80927\n42724 64231\n37110 55812\n45464 68312\n48034 72143\n3901 5883\n31202 46993\n95734 100000\n76670 100000\n10435 15695\n90351 100000\n45674 68616\n65717 98564\n4588 6920\n96428 100000\n87834 100000\n23464 35360\n67436 100000\n42998 64634\n35362 53194\n49006 73580\n88493 100000\n36424 54784\n11897 17897\n53301 80016\n3009 4553\n52016 78085\n34961 52592\n794 1189\n38047 57238\n83131 100000\n64797 97191\n87902 100000\n53382 80128\n31302 47145\n13758 20715\n70471 100000\n59048 88583\n71143 100000\n34937 52560\n23635 35623\n94721 100000\n42847 64409\n92410 100000\n57561 86339\n86795 100000\n14382 21644\n7974 11978\n70659 100000\n91393 100000\n61832 92759\n17895 26958\n73335 100000\n67084 100000\n55786 83701\n82323 100000\n10133 15243\n49242 73943\n33316 50167\n51851 77842\n1356 2033\n45516 68389\n97178 100000\n24201 36475\n10386 15626\n82803 100000\n58827 88246\n62053 93089\n21605 32569\n91117 100000\n76523 100000\n46486 69835\n69348 100000\n53751 80665\n97035 100000\n66471 99699\n37669 56646\n97124 100000\n35084 52780\n73752 100000\n98962 100000\n83657 100000\n49612 74506\n18536 27940\n44471 66831\n1087 1622\n42718 64223\n404 595\n5420 8139\n93670 100000\n6920 10385\n56850 85280\n23001 34662\n22183 33437\n58249 87372\n47881 71916\n73901 100000\n18406 27736\n49413 74198\n51682 77582\n56510 84774\n53845 80799\n60395 90614\n36395 54741\n2197 3328\n39445 59341\n53852 80810\n39273 59082\n95913 100000\n35525 53433\n53677 80555\n51033 76606\n2367 3580\n71339 100000\n20418 30746\n63901 95851\n8394 12598\n41155 61908\n67186 100000\n14921 22470\n96556 100000\n78817 100000\n69252 100000\n85064 100000\n30111 45367\n92132 100000\n74430 100000\n71230 100000\n31227 47029\n30452 45874\n65299 97940\n21791 32849\n93086 100000\n67102 100000\n88403 100000\n18739 28243\n32109 48357\n84327 100000\n28222 42495\n51460 77236\n47993 72083\n3875 5841\n44271 66534\n61388 92106\n2724 4119\n92704 100000\n15585 23479\n86665 100000\n74692 100000\n40720 61241\n45423 68257\n94316 100000\n41752 62789\n85157 100000\n78664 100000\n69900 100000\n9759 14669\n18285 27555\n86757 100000\n85782 100000\n85286 100000\n85069 100000\n88990 100000\n82381 100000\n46592 69992\n92829 100000\n14604 21986\n31969 48145\n21555 32498\n86677 100000\n11747 17673\n8292 12452\n96798 100000\n37585 56525\n54310 81481\n30581 46064\n76983 100000\n97470 100000\n25152 37905\n96167 100000\n5975 8980\n57092 85645\n48275 72490\n19407 29230\n48858 73358\n22506 33911\n60624 90962\n34685 52195\n95126 100000\n92009 100000\n90667 100000\n81919 100000\n70460 100000\n87011 100000\n31560 47535\n167 244\n82118 100000\n34103 51340\n99388 100000\n42809 64351\n75788 100000\n31556 47528\n15617 23530\n36618 55084\n11870 17858\n35266 53049\n40824 61398\n35122 52839\n25634 38644\n38129 57365\n93425 100000\n2052 3099\n24109 36339\n16999 25606\n33894 51033\n64737 97097\n67537 100000\n65551 98324\n39698 59724\n49405 74186\n27412 41277\n79564 100000\n7473 11236\n61374 92083\n72654 100000\n81413 100000\n54641 81978\n73947 100000\n85880 100000\n87136 100000\n44241 66485\n40089 60299\n50741 76177\n91802 100000\n40979 61635\n99364 100000\n64111 96161\n96440 100000\n15695 23651\n48333 72580\n77297 100000\n54320 81498\n29342 44189\n13178 19851\n39536 59476\n67055 100000\n19560 29461\n20396 30709\n46247 69472\n53087 79697\n7556 11355\n9251 13902\n1832 2764\n14931 22485\n84878 100000\n70288 100000\n16619 25030\n72693 100000\n1799 2716\n14176 21345\n10009 15058\n91299 100000\n22985 34638\n71887 100000\n8010 12032\n96324 100000\n52128 78254\n42932 64538\n60940 91428\n39456 59358\n55417 83163\n26113 39348\n69696 100000\n8797 13216\n3522 5319\n51349 77069\n30915 46553\n83217 100000\n14237 21432\n73749 100000\n87252 100000\n75963 100000\n27373 41220\n5119 7700\n86432 100000\n29744 44807\n1505 2258\n60738 91140\n32038 48245\n7455 11208\n7594 11410\n4392 6621\n66155 99230\n86185 100000\n77261 100000\n37299 56097\n5333 8009\n27755 41794\n73719 100000\n37059 55740\n52771 79216\n46156 69335\n9097 13667\n24836 37446\n36308 54609\n39472 59385\n39578 59542\n23929 36065\n37391 56232\n84098 100000\n76347 100000\n81421 100000\n98703 100000\n72263 100000\n83373 100000\n47150 70837\n3638 5491\n89219 100000\n28271 42568\n68583 100000\n82512 100000\n62422 93634\n71278 100000\n28809 43384\n86933 100000\n52649 79034\n3421 5174\n9727 14622\n83395 100000\n35120 52836\n8974 13483\n93827 100000\n61282 91948\n46303 69565\n18980 28590\n55140 82734\n68632 100000\n59409 89125\n32747 49299\n20369 30670\n43410 65260\n87281 100000\n25739 38806\n40852 61440\n74278 100000\n19674 29632\n59186 88786\n5168 7773\n21403 32268\n6196 9306\n12520 18835\n22950 34580\n74703 100000\n31354 47221\n50810 76279\n23667 35674\n77220 100000\n19336 29130\n65992 98978\n73479 100000\n95106 100000\n92010 100000\n33424 50321\n64758 97127\n26536 39978\n59250 88880\n84308 100000\n39174 58937\n77685 100000\n69756 100000\n26257 39557\n52667 79060\n32435 48838\n89534 100000\n88573 100000\n40647 61132\n7213 10837\n23101 34816\n43925 66016\n74894 100000\n62206 93320\n90977 100000\n19541 29432\n76300 100000\n30118 45378\n36536 54952\n83173 100000\n79255 100000\n1806 2725\n46215 69425\n47337 71110\n25098 37829\n91087 100000\n49979 75030\n79337 100000\n10929 16446\n5754 8640\n21598 32558\n70579 100000\n83156 100000\n44288 66558\n13584 20452\n8181 12293\n98161 100000\n5961 8960\n42726 64234\n64821 97223\n55195 82818\n74137 100000\n29017 43697\n72659 100000\n86570 100000\n80758 100000\n46606 70013\n86041 100000\n41484 62395\n87641 100000\n43519 65420\n78973 100000\n60229 90366\n27149 40886\n50238 75423\n92241 100000\n98615 100000\n25017 37704\n54881 82337\n42182 63428\n56855 85288\n68596 100000\n10082 15167\n37667 56643\n59123 88694\n56678 85026\n28130 42358\n56788 85185\n1886 2843\n28629 43103\n36049 54210\n72899 100000\n75973 100000\n46689 70134\n87358 100000\n79145 100000\n65767 98634\n21430 32305\n61375 92085\n13617 20500\n76023 100000\n50703 76119\n22121 33350\n20452 30797\n97091 100000\n31520 47473\n49235 73932\n57366 86064\n55841 83783\n75758 100000\n24506 36928\n12088 18183\n81892 100000\n4990 7516\n46558 69940\n46279 69526\n64844 97258\n19763 29762\n86522 100000\n4045 6102\n85028 100000\n3938 5941\n35629 53582\n79504 100000\n86058 100000\n5753 8639\n9184 13798\n30245 45573\n52427 78705\n81136 100000\n27638 41615\n98414 100000\n22662 34138\n84287 100000\n10090 15179\n41451 62345\n72531 100000\n26243 39536\n50433 75711\n65217 97822\n88698 100000\n89651 100000\n98118 100000\n86984 100000\n7971 11974\n60603 90928\n93391 100000\n55207 82838\n90416 100000\n16366 24659\n17212 25940\n32553 49023\n5390 8093\n83438 100000\n46257 69490\n86819 100000\n32461 48879\n74431 100000\n20324 30601\n84869 100000\n30647 46162\n57479 86224\n50432 75709\n49051 73648\n8222 12351\n27070 40766\n16882 25423\n81006 100000\n13946 20999\n64401 96594\n87941 100000\n70615 100000\n96094 100000\n58522 87770\n98462 100000\n97377 100000\n42196 63447\n77102 100000\n56301 84463\n73375 100000\n41178 61940\n48055 72173\n71216 100000\n96182 100000\n21512 32430\n3432 5191\n62263 93405\n16867 25401\n64381 96562\n9738 14639\n58200 87299\n78350 100000\n76372 100000\n64985 97462\n15055 22669\n46886 70426\n84000 100000\n77629 100000\n52289 78495\n10070 15151\n34592 52054\n1793 2706\n70270 100000\n11966 17998\n26439 39836\n75480 100000\n63288 94922\n51626 77495\n51149 76778\n65140 97699\n36347 54671\n14755 22210\n38808 58383\n24505 36926\n78476 100000\n33925 51081\n63582 95368\n59986 89994\n30351 45725\n97929 100000\n84228 100000\n88492 100000\n4639 6995\n21539 32475\n89029 100000\n5716 8589\n51584 77429\n79474 100000\n14118 21263\n85411 100000\n90516 100000\n17530 26409\n92417 100000\n41709 62726\n45052 67706\n29880 45006\n99550 100000\n22532 33949\n51573 77412\n20367 30667\n74028 100000\n92995 100000\n56361 84551\n60052 90094\n73688 100000\n20312 30583\n48724 73160\n75416 100000\n14676 22096\n5526 8293\n41576 62526\n91995 100000\n47584 71476\n66356 99531\n44551 66955\n69120 100000\n93113 100000\n62700 94046\n76644 100000\n55820 83752\n54915 82391\n39162 58917\n25888 39028\n51474 77257\n44631 67077\n87742 100000\n40678 61177\n38353 57707\n70037 100000\n99592 100000\n4838 7296\n94508 100000\n75646 100000\n80455 100000\n43877 65940\n36755 55281\n7478 11244\n80041 100000\n65132 97683\n87383 100000\n50244 75434\n96417 100000\n86899 100000\n77378 100000\n57235 85862\n13810 20794\n58668 87989\n25021 37708\n62960 94421\n6672 10017\n27318 41142\n19525 29410\n26921 40559\n2373 3589\n48256 72464\n52455 78745\n86981 100000\n24712 37246\n95431 100000\n78987 100000\n40894 61506\n86184 100000\n77772 100000\n25147 37899\n36674 55163\n43356 65179\n710 1064\n72658 100000\n10147 15263\n73551 100000\n20404 30724\n35207 52968\n74091 100000\n73239 100000\n99138 100000\n53177 79831\n22920 34532\n60843 91290\n28127 42352\n64051 96069\n34033 51235\n15579 23470\n35597 53533\n52206 78374\n79724 100000\n67575 100000\n82457 100000\n56797 85198\n68275 100000\n83047 100000\n88295 100000\n55992 84006\n87805 100000\n81573 100000\n76548 100000\n73955 100000\n99398 100000\n39758 59811\n27505 41422\n64396 96585\n8531 12806\n32088 48324\n82479 100000\n15289 23026\n3748 5658\n17747 26743\n21684 32688\n45722 68687\n52501 78811\n95624 100000\n64706 97046\n52653 79039\n32415 48810\n71627 100000\n81856 100000\n29583 44551\n44203 66431\n65451 98176\n6576 9869\n39170 58931\n83611 100000\n41792 62847\n83885 100000\n49629 74528\n84602 100000\n78456 100000\n50341 75577\n41915 63033\n4259 6419\n30088 45333\n29404 44277\n22547 33973\n58640 87947\n6425 9646\n20732 31236\n40851 61439\n81103 100000\n59567 89364\n32414 48809\n14143 21301\n67155 100000\n58008 87017\n74737 100000\n82035 100000\n81398 100000\n30082 45323\n33133 49897\n47007 70618\n82656 100000\n62389 93585\n35081 52774\n8266 12413\n9808 14747\n85344 100000\n94410 100000\n5560 8344\n21995 33161\n41320 62153\n21810 32876\n41470 62374\n5327 8001\n1111 1653\n60037 90071\n47697 71640\n9883 14856\n70336 100000\n38618 58092\n82059 100000\n52829 79302\n14134 21288\n38925 58562\n49558 74422\n68220 100000\n83445 100000\n54321 81499\n86818 100000\n46742 70216\n3115 4713\n71174 100000\n7708 11580\n92862 100000\n34905 52512\n49892 74908\n57816 86725\n61548 92337\n97737 100000\n79319 100000\n968 1446\n89760 100000\n29877 45003\n1251 1873\n1433 2152\n20299 30565\n21179 31923\n88111 100000\n43763 65771\n50468 75763\n4476 6746\n68585 100000\n28412 42778\n55888 83849\n49189 73861\n27688 41694\n84257 100000\n96639 100000\n38698 58208\n67828 100000\n98165 100000\n49293 74014\n58082 87126\n98937 100000\n17538 26423\n77392 100000\n5510 8272\n8108 12179\n6895 10346\n81328 100000\n11296 17000\n42397 63746\n15151 22818\n87325 100000\n32870 49489\n43713 65697\n29144 43885\n38339 57688\n47123 70797\n99734 100000\n53662 80531\n68250 100000\n11983 18020\n37223 55985\n5691 8547\n50069 75167\n63772 95660\n92588 100000\n56134 84220\n40126 60353\n25598 38583\n6536 9812\n7248 10887\n7536 11324\n51361 77087\n49747 74697\n55180 82794\n14340 21577\n75892 100000\n94839 100000\n54247 81389\n9515 14304\n18820 28360\n49723 74663\n68578 100000\n60293 90456\n60063 90113\n67463 100000\n66809 100000\n30269 45606\n80612 100000\n38522 57957\n76657 100000\n72477 100000\n9956 14972\n66140 99208\n5894 8858\n33016 49727\n78743 100000\n99144 100000\n37474 56359\n82778 100000\n54744 82127\n56783 85178\n75913 100000\n8376 12572\n10026 15083\n70198 100000\n92884 100000\n46702 70153\n80454 100000\n10609 15949\n84563 100000\n38822 58405\n28593 43050\n96998 100000\n58021 87035\n90708 100000\n72266 100000\n62807 94198\n9981 15012\n2529 3827\n90306 100000\n24701 37227\n3056 4621\n46833 70346\n18138 27323\n27380 41230\n57975 86969\n21248 32026\n24054 36258\n39197 58970\n37032 55700\n81005 100000\n83317 100000\n10640 15998\n20232 30467\n3096 4681\n57782 86677\n27099 40812\n4671 7045\n7250 10891\n78141 100000\n36515 54920\n99234 100000\n12035 18098\n57677 86507\n4714 7107\n906 1355\n31777 47856\n6091 9143\n74671 100000\n89233 100000\n87464 100000\n61268 91926\n32914 49561\n87407 100000\n68991 100000\n75164 100000\n80697 100000\n4532 6832\n92215 100000\n91116 100000\n62069 93111\n84437 100000\n92810 100000\n74504 100000\n23801 35880\n11950 17972\n40082 60289\n99944 100000\n65856 98764\n19846 29886\n42618 64078\n80785 100000\n17083 25736\n72846 100000\n49538 74391\n15300 23043\n36902 55501\n2182 3305\n11122 16740\n23744 35790\n52598 78968\n72251 100000\n25339 38186\n24012 36196\n83786 100000\n89457 100000\n43482 65361\n59402 89116\n7070 10614\n57145 85726\n90562 100000\n8256 12399\n94237 100000\n45531 68409\n64789 97178\n85112 100000\n30860 46471\n68176 100000\n10325 15529\n43057 64727\n60121 90203\n24093 36316\n90476 100000\n57679 86511\n17961 27060\n20669 31131\n62340 93516\n63530 95285\n97637 100000\n12090 18186\n96425 100000\n99269 100000\n32712 49248\n87100 100000\n5537 8309\n13627 20515\n63851 95780\n3215 4866\n36804 55354\n71158 100000\n10828 16286\n24467 36874\n95377 100000\n67940 100000\n30890 46514\n80918 100000\n20031 30171\n85139 100000\n95991 100000\n95732 100000\n40905 61519\n63434 95138\n32163 48439\n67225 100000\n22233 33514\n93128 100000\n70621 100000\n21964 33121\n67407 100000\n84309 100000\n73180 100000\n65359 98029\n4025 6072\n54373 81581\n77485 100000\n2007 3033\n65778 98649\n79380 100000\n62553 93830\n23811 35893\n59686 89535\n87773 100000\n71566 100000\n61358 92060\n85973 100000\n51220 76883\n87226 100000\n31696 47737\n84008 100000\n10403 15653\n42887 64470\n32018 48215\n22142 33378\n93541 100000\n68511 100000\n48149 72304\n30426 45833\n86444 100000\n52406 78672\n96650 100000\n6205 9321\n47776 71760\n24604 37075\n87814 100000\n25287 38106\n96874 100000\n5400 8107\n9711 14596\n19051 28693\n26367 39722\n72669 100000\n6072 9117\n90446 100000\n64220 96321\n8063 12115\n82997 100000\n71088 100000\n50796 76260\n49315 74052\n85320 100000\n43678 65650\n92894 100000\n22443 33820\n83812 100000\n98627 100000\n84534 100000\n35059 52741\n21411 32281\n64565 96837\n8018 12045\n69527 100000\n79084 100000\n98737 100000\n17131 25808\n15889 23943\n82256 100000\n11173 16812\n13808 20791\n24534 36966\n82421 100000\n57619 86424\n40292 60602\n31652 47666\n43778 65795\n95678 100000\n61985 92988\n22918 34530\n4024 6070\n6118 9186\n9133 13724\n50973 76517\n61885 92841\n30151 45430\n41698 62710\n88567 100000\n69017 100000\n37066 55751\n87603 100000\n14087 21214\n7033 10557\n42650 64127\n79058 100000\n69833 100000\n15693 23648\n22779 34319\n48417 72704\n34245 51546\n8392 12595\n9609 14446\n81639 100000\n14516 21852\n85188 100000\n84331 100000\n35712 53713\n30127 45391\n96221 100000\n38619 58094\n54900 82368\n91689 100000\n87471 100000\n29326 44164\n77239 100000\n62572 93857\n53285 79989\n52877 79377\n93065 100000\n53689 80574\n54725 82098\n99286 100000\n36650 55128\n92610 100000\n98441 100000\n38009 57176\n13076 19696\n47465 71303\n82704 100000\n90847 100000\n47564 71448\n55125 82712\n8960 13463\n63806 95711\n48906 73427\n52251 78437\n31082 46803\n93608 100000\n75755 100000\n25479 38403\n79835 100000\n91634 100000\n84260 100000\n79893 100000\n4443 6698\n12102 18204\n45390 68210\n65202 97801\n31088 46813\n13836 20834\n99306 100000\n44190 66410\n5108 7686\n5901 8870\n42352 63677\n23870 35980\n253 359\n5725 8600\n32586 49073\n88388 100000\n9896 14877\n78600 100000\n36746 55267\n69516 100000\n63863 95797\n13155 19821\n42497 63896\n59249 88879\n64398 96589\n81839 100000\n22118 33345\n10476 15756\n28637 43116\n82928 100000\n9633 14482\n17962 27062\n16807 25308\n46839 70356\n96011 100000\n97434 100000\n42908 64503\n65360 98030\n24817 37415\n36148 54361\n88973 100000\n66467 99695\n95039 100000\n39231 59017\n47720 71672\n48323 72564\n85014 100000\n28230 42506\n77332 100000\n64745 97108\n60526 90811\n91871 100000\n51369 77098\n34112 51352\n42142 63371\n65308 97954\n27522 41450\n1811 2734\n79467 100000\n92814 100000\n19475 29335\n30562 46036\n64505 96750\n12989 19564\n83192 100000\n72509 100000\n25372 38238\n63431 95135\n99742 100000\n94364 100000\n88472 100000\n54324 81504\n45768 68753\n48305 72538\n23600 35574\n49347 74105\n87469 100000\n6219 9343\n99490 100000\n21951 33098\n96300 100000\n46018 69128\n13981 21050\n43866 65925\n70160 100000\n74204 100000\n72916 100000\n75843 100000\n44431 66774\n15066 22687\n82655 100000\n55019 82547\n15904 23965\n25506 38444\n33788 50872\n69908 100000\n31095 46823\n90698 100000\n14316 21543\n14744 22193\n42229 63497\n7075 10623\n59558 89351\n79387 100000\n94960 100000\n90287 100000\n43589 65522\n57985 86986\n87354 100000\n14655 22064\n13726 20665\n94988 100000\n16862 25391\n46255 69486\n83738 100000\n64407 96604\n18528 27925\n15822 23843\n38997 58665\n67099 100000\n53980 81000\n64487 96721\n26163 39422\n75543 100000\n29181 43946\n14647 22055\n47506 71366\n15892 23948\n17810 26835\n71729 100000\n83758 100000\n69608 100000\n38759 58306\n16762 25241\n5009 7543\n36098 54290\n77008 100000\n72691 100000\n14556 21913\n24746 37298\n28371 42715\n26569 40029\n77603 100000\n23184 34943\n2152 3256\n18613 28057\n42891 64475\n26665 40171\n67367 100000\n33941 51104\n65238 97851\n53200 79866\n29358 44211\n83350 100000\n52621 78997\n98876 100000\n37079 55768\n41674 62675\n7786 11694\n91467 100000\n85917 100000\n61210 91838\n61882 92836\n96111 100000\n93326 100000\n71012 100000\n50792 76253\n94710 100000\n84015 100000\n88601 100000\n52331 78560\n34179 51449\n6017 9038\n80505 100000\n33518 50459\n2478 3747\n22528 33945\n71213 100000\n42115 63329\n77069 100000\n68184 100000\n99088 100000\n91031 100000\n35129 52847\n8017 12043\n96136 100000\n24829 37435\n19705 29678\n20745 31257\n320 460\n80670 100000\n87204 100000\n91288 100000\n62612 93910\n82733 100000\n91459 100000\n15671 23614\n73530 100000\n66692 100000\n70774 100000\n20780 31311\n2745 4152\n69858 100000\n49276 73991\n66580 99862\n54344 81534\n16582 24972\n1766 2664\n83711 100000\n2798 4242\n81559 100000\n79437 100000\n64714 97061\n48181 72350\n22799 34346\n93179 100000\n40849 61436\n49806 74782\n38163 57421\n56373 84569\n57818 86727\n78027 100000\n33044 49765\n71883 100000\n36061 54230\n7564 11366\n32855 49466\n7552 11350\n23983 36148\n26230 39517\n26688 40202\n94452 100000\n53799 80736\n44790 67321\n87788 100000\n80332 100000\n46668 70101\n95399 100000\n40550 60993\n84877 100000\n33651 50664\n70628 100000\n48693 73112\n63585 95374\n68295 100000\n51020 76589\n86332 100000\n76458 100000\n6322 9498\n93936 100000\n44619 67059\n75737 100000\n55829 83766\n83249 100000\n81643 100000\n33211 50009\n29530 44471\n35478 53369\n65233 97845\n72558 100000\n22413 33778\n4818 7263\n91440 100000\n54291 81455\n51490 77284\n85326 100000\n39085 58796\n67415 100000\n29679 44702\n20147 30339\n5320 7991\n25426 38322\n88429 100000\n79280 100000\n4002 6037\n91793 100000\n21912 33036\n9009 13537\n91701 100000\n81600 100000\n16093 24251\n60392 90610\n84504 100000\n63751 95627\n42767 64290\n24618 37096\n77526 100000\n69305 100000\n58258 87384\n22539 33960\n8442 12669\n20522 30904\n60225 90359\n89658 100000\n46849 70372\n66840 100000\n31438 47346\n2242 3393\n67187 100000\n31703 47748\n96409 100000\n13143 19801\n44283 66550\n19854 29899\n32612 49109\n98415 100000\n82300 100000\n93408 100000\n90247 100000\n14807 22291\n65197 97793\n83176 100000\n51750 77688\n37712 56715\n58720 88074\n41240 62031\n14174 21342\n78780 100000\n5144 7740\n57719 86575\n95743 100000\n67581 100000\n6067 9108\n65052 97563\n11142 16770\n15081 22710\n54566 81871\n38688 58194\n23788 35857\n60937 91424\n51938 77965\n51763 77706\n42965 64585\n43123 64823\n51652 77536\n95962 100000\n13320 20063\n40159 60401\n42713 64216\n66422 99628\n50496 75803\n98887 100000\n22357 33694\n30667 46196\n76173 100000\n8006 12027\n70888 100000\n62897 94328\n51303 77002\n77872 100000\n18495 27872\n62425 93638\n74810 100000\n579 860\n77967 100000\n71074 100000\n97251 100000\n54128 81207\n93430 100000\n20297 30562\n59844 89787\n18954 28554\n36846 55416\n8905 13376\n36450 54824\n51388 77127\n57350 86040\n45177 67898\n36461 54842\n72874 100000\n20423 30753\n4574 6901\n99755 100000\n94326 100000\n86585 100000\n28989 43651\n51365 77092\n74104 100000\n87930 100000\n69682 100000\n81150 100000\n36520 54926\n98734 100000\n95069 100000\n32527 48980\n35305 53107\n41173 61934\n9164 13768\n70157 100000\n84524 100000\n75917 100000\n38621 58097\n71945 100000\n41907 63019\n52504 78816\n45996 69095\n78022 100000\n91179 100000\n68162 100000\n93452 100000\n38464 57867\n78808 100000\n50516 75835\n28729 43257\n99750 100000\n34351 51705\n72482 100000\n25049 37756\n86384 100000\n85690 100000\n7565 11367\n63639 95463\n63451 95164\n92684 100000\n2380 3598\n83481 100000\n93890 100000\n72252 100000\n85797 100000\n35508 53411\n68174 100000\n25719 38775\n49221 73913\n24055 36260\n68838 100000\n36213 54460\n16917 25478\n15817 23833\n2162 3272\n65426 98136\n94749 100000\n14504 21836\n19810 29827\n51949 77984\n57127 85700\n1559 2340\n58247 87369\n76796 100000\n13343 20098\n30586 46073\n13222 19916\n85629 100000\n94754 100000\n5882 8841\n32386 48771\n77088 100000\n44058 66216\n48844 73339\n37812 56875\n7923 11905\n36892 55486\n49808 74785\n87406 100000\n96648 100000\n62603 93898\n21161 31896\n11307 17018\n38669 58168\n76333 100000\n80337 100000\n65109 97651\n46175 69364\n60046 90084\n48387 72660\n21016 31674\n90619 100000\n8334 12515\n58960 88447\n36480 54869\n22706 34208\n8530 12804\n17179 25886\n64481 96712\n71518 100000\n55933 83916\n27013 40690\n99604 100000\n68121 100000\n30710 46260\n2712 4099\n59749 89633\n43965 66077\n44916 67499\n80947 100000\n16875 25412\n25421 38314\n80317 100000\n25978 39148\n64065 96089\n21478 32382\n66744 100000\n26635 40123\n29127 43859\n47911 71960\n2662 4023\n96218 100000\n58837 88262\n78410 100000\n59355 89041\n90783 100000\n74981 100000\n49488 74315\n81636 100000\n42831 64385\n64019 96027\n48570 72931\n25513 38455\n7464 11222\n1141 1703\n26119 39357\n97420 100000\n73225 100000\n64488 96723\n94027 100000\n20002 30126\n81410 100000\n16975 25569\n65678 98510\n18765 28278\n71637 100000\n91924 100000\n34204 51485\n71352 100000\n9668 14531\n17463 26311\n110 163\n49211 73896\n84130 100000\n68439 100000\n7994 12007\n89884 100000\n2681 4050\n88174 100000\n90169 100000\n20403 30722\n59441 89171\n64177 96257\n55969 83971\n29688 44717\n13929 20976\n3952 5966\n89864 100000\n28194 42454\n79486 100000\n57856 86783\n38077 57285\n90447 100000\n8589 12898\n41223 62009\n59807 89727\n79204 100000\n68737 100000\n22690 34182\n6786 10190\n5840 8774\n20740 31250\n61661 92508\n15086 22717\n78325 100000\n57409 86127\n5228 7865\n66432 99644\n88468 100000\n73014 100000\n46253 69482\n89297 100000\n35194 52948\n93727 100000\n45803 68807\n41509 62429\n58342 87512\n41683 62689\n52117 78235\n28201 42464\n34527 51959\n42421 63781\n33502 50439\n73796 100000\n90232 100000\n12564 18900\n40850 61437\n27364 41207\n10564 15885\n66897 100000\n39508 59436\n22085 33296\n57316 85991\n24957 37621\n20000 30122\n64658 96975\n9742 14644\n82999 100000\n29902 45039\n65585 98374\n62147 93232\n11522 17341\n52080 78176\n90802 100000\n77753 100000\n99612 100000\n15861 23905\n61647 92488\n24837 37447\n6850 10285\n34633 52117\n3906 5890\n69849 100000\n20605 31033\n96084 100000\n3100 4688\n97186 100000\n21581 32535\n23862 35968\n76800 100000\n5997 9009\n75800 100000\n20611 31045\n82493 100000\n86949 100000\n48838 73329\n46444 69772\n18472 27838\n81952 100000\n24167 36425\n6427 9649\n25748 38819\n91672 100000\n60644 90991\n48023 72127\n84016 100000\n56298 84460\n48699 73122\n23581 35545\n91805 100000\n91979 100000\n57925 86893\n34255 51564\n3160 4778\n3466 5241\n81338 100000\n54404 81626\n3207 4852\n53765 80685\n20300 30567\n28594 43052\n65571 98352\n8514 12783\n96970 100000\n31785 47868\n80794 100000\n79173 100000\n95326 100000\n26741 40281\n86300 100000\n44307 66584\n15759 23739\n1104 1644\n72814 100000\n13940 20992\n82761 100000\n36663 55146\n72270 100000\n55182 82797\n51282 76975\n64722 97074\n15193 22879\n35026 52691\n62761 94131\n15348 23127\n26939 40582\n89947 100000\n74328 100000\n11773 17714\n80320 100000\n51327 77035\n77216 100000\n4226 6373\n6727 10097\n13412 20200\n46615 70025\n54488 81758\n87721 100000\n28469 42865\n3878 5847\n85805 100000\n20345 30633\n15741 23712\n75642 100000\n17884 26942\n15039 22647\n67485 100000\n48604 72976\n45161 67874\n39147 58895\n83890 100000\n16538 24913\n78776 100000\n28211 42477\n64425 96631\n41298 62121\n20794 31333\n35616 53564\n10809 16259\n2390 3613\n6180 9281\n62180 93284\n32314 48667\n46088 69232\n2248 3404\n91981 100000\n36369 54702\n68038 100000\n73300 100000\n40431 60808\n63559 95332\n83294 100000\n29329 44169\n84556 100000\n60457 90706\n3451 5218\n20394 30706\n16185 24389\n20015 30146\n4181 6310\n83498 100000\n25397 38278\n32994 49689\n84222 100000\n43105 64798\n98474 100000\n72749 100000\n2397 3623\n31011 46696\n87911 100000\n37005 55658\n44958 67565\n19933 30022\n31436 47343\n87973 100000\n82610 100000\n5031 7574\n83640 100000\n10708 16107\n39009 58685\n57806 86713\n99447 100000\n63261 94882\n8623 12947\n10779 16209\n5033 7577\n30665 46193\n94490 100000\n74059 100000\n4135 6238\n2332 3525\n878 1312\n94521 100000\n78843 100000\n33219 50020\n1685 2536\n9146 13742\n15403 23210\n53051 79642\n58572 87845\n49906 74928\n70967 100000\n84285 100000\n77254 100000\n52872 79367\n23324 35150\n10558 15878\n93796 100000\n70775 100000\n96434 100000\n51604 77458\n11974 18010\n62568 93851\n55235 82881\n75131 100000\n56346 84530\n39241 59032\n81783 100000\n31542 47508\n9694 14570\n31226 47027\n97604 100000\n42074 63271\n3867 5829\n83676 100000\n89296 100000\n36189 54424\n73123 100000\n69412 100000\n64677 97004\n44643 67095\n95077 100000\n87837 100000\n61785 92689\n10726 16134\n57433 86164\n12025 18084\n35293 53090\n45269 68032\n8283 12438\n11993 18036\n31346 47208\n14410 21689\n10000 15044\n20911 31510\n36069 54243\n51494 77290\n25035 37731\n13605 20483\n7328 11008\n18414 27748\n39746 59794\n66052 99067\n21346 32186\n80387 100000\n48407 72689\n43199 64938\n68412 100000\n19325 29116\n87085 100000\n34651 52144\n21373 32227\n63144 94704\n78803 100000\n92389 100000\n65901 98837\n27950 42081\n89836 100000\n58499 87735\n72454 100000\n84181 100000\n55011 82536\n23898 36023\n93184 100000\n21638 32620\n17019 25635\n37460 56336\n79253 100000\n57250 85888\n28161 42406\n2060 3111\n35434 53304\n8616 12936\n82712 100000\n6735 10111\n37188 55931\n35062 52745\n49502 74335\n6681 10032\n43172 64893\n53400 80157\n2996 4535\n11016 16578\n54639 81976\n62144 93227\n75350 100000\n53866 80833\n87573 100000\n86402 100000\n13060 19669\n79782 100000\n43553 65472\n37710 56712\n57385 86091\n86969 100000\n48642 73036\n43680 65652\n57338 86023\n5150 7748\n16963 25549\n39688 59710\n25442 38348\n65628 98442\n96498 100000\n2973 4497\n55269 82933\n59724 89596\n61583 92388\n44949 67551\n17152 25843\n61578 92380\n5077 7640\n10144 15258\n65555 98331\n78335 100000\n53423 80190\n36497 54893\n43396 65242\n16543 24918\n81431 100000\n18380 27698\n18426 27769\n11197 16849\n14189 21362\n99784 100000\n43196 64933\n89479 100000\n48015 72116\n21533 32464\n56396 84607\n53710 80608\n95234 100000\n91621 100000\n90407 100000\n42471 63861\n75526 100000\n64388 96575\n23574 35533\n65743 98603\n65010 97504\n88605 100000\n44531 66927\n43203 64945\n73516 100000\n62364 93549\n19591 29506\n21388 32245\n96626 100000\n27067 40762\n12932 19477\n5505 8263\n69452 100000\n79195 100000\n58290 87430\n45203 67937\n62856 94266\n65307 97952\n61255 91905\n97048 100000\n39643 59639\n16788 25281\n27233 41018\n56973 85469\n62259 93398\n79027 100000\n87905 100000\n11882 17874\n20646 31097\n15457 23284\n33051 49777\n70475 100000\n61289 91962\n81351 100000\n11107 16719\n71146 100000\n76681 100000\n1434 2154\n494 729\n41562 62506\n59645 89478\n61148 91746\n17330 26113\n99935 100000\n71371 100000\n87985 100000\n84330 100000\n15582 23475\n81655 100000\n55403 83141\n9580 14404\n98566 100000\n32615 49114\n3295 4986\n4165 6283\n40265 60554\n17517 26390\n86306 100000\n76363 100000\n25231 38024\n77873 100000\n54988 82501\n402 592\n47279 71022\n74634 100000\n31024 46716\n1261 1889\n54742 82124\n40735 61267\n93304 100000\n34498 51919\n37477 56364\n94025 100000\n98620 100000\n14413 21694\n92205 100000\n69048 100000\n70626 100000\n25485 38412\n6380 9579\n97796 100000\n40634 61115\n2033 3072\n5368 8062\n52816 79283\n8543 12825\n31976 48156\n27365 41209\n89291 100000\n26674 40185\n87170 100000\n70065 100000\n13980 21049\n26672 40182\n47168 70863\n96892 100000\n75521 100000\n23662 35666\n34532 51966\n3704 5590\n18376 27694\n39356 59213\n24585 37046\n6325 9502\n26989 40656\n15509 23369\n90144 100000\n20942 31553\n60416 90646\n12559 18894\n26420 39806\n17516 26389\n30216 45528\n10699 16092\n35877 53959\n728 1089\n25268 38082\n55362 83080\n8736 13122\n66120 99174\n30558 46029\n79622 100000\n26052 39256\n35913 54013\n48153 72310\n99118 100000\n11655 17539\n50172 75330\n84795 100000\n42302 63603\n2594 3923\n40180 60434\n60863 91317\n74415 100000\n93986 100000\n85983 100000\n15569 23457\n10419 15672\n99699 100000\n88560 100000\n65786 98659\n85942 100000\n63795 95696\n64167 96243\n67595 100000\n19080 28737\n99219 100000\n75805 100000\n73350 100000\n23126 34853\n94955 100000\n34806 52370\n98382 100000\n37761 56795\n34461 51865\n55839 83780\n53355 80093\n20441 30781\n99005 100000\n41848 62932\n38086 57301\n79399 100000\n10626 15974\n85180 100000\n48888 73397\n30203 45507\n93194 100000\n33710 50755\n18973 28579\n96725 100000\n25524 38474\n84447 100000\n18189 27406\n4074 6148\n38873 58483\n54114 81187\n29006 43679\n72392 100000\n38832 58422\n98004 100000\n33912 51059\n578 859\n95335 100000\n33338 50198\n19805 29820\n72375 100000\n39904 60026\n75339 100000\n65831 98731\n18520 27912\n10943 16470\n37232 55998\n14709 22141\n4096 6179\n60156 90257\n21314 32132\n64122 96176\n23329 35157\n85832 100000\n54910 82383\n21952 33100\n87522 100000\n1655 2491\n90832 100000\n72572 100000\n39093 58808\n16048 24181\n55085 82648\n21954 33104\n97334 100000\n97199 100000\n22486 33885\n39987 60148\n94669 100000\n34513 51940\n84859 100000\n98778 100000\n84835 100000\n12889 19411\n14545 21895\n4814 7258\n32958 49630\n43157 64871\n622 932\n91833 100000\n19628 29561\n37571 56501\n83612 100000\n74700 100000\n29936 45092\n33302 50147\n46246 69471\n12346 18569\n85041 100000\n41460 62358\n6194 9303\n39858 59962\n69306 100000\n3104 4696\n96724 100000\n51137 76759\n99136 100000\n70313 100000\n9437 14186\n48287 72511\n16558 24940\n89107 100000\n91828 100000\n78068 100000\n53942 80942\n98774 100000\n33530 50478\n31810 47906\n70856 100000\n66196 99293\n26377 39740\n68724 100000\n32838 49443\n42517 63928\n19152 28851\n48057 72176\n37820 56888\n8752 13145\n39897 60018\n39838 59931\n15392 23193\n55945 83934\n16177 24378\n24628 37113\n23304 35119\n20474 30830\n91098 100000\n56819 85234\n87468 100000\n46582 69977\n79791 100000\n6838 10266\n95441 100000\n98738 100000\n34297 51628\n91302 100000\n17391 26197\n66793 100000\n19716 29697\n4292 6470\n96269 100000\n28467 42861\n85543 100000\n84973 100000\n58768 88155\n66260 99388\n28612 43079\n90958 100000\n38266 57577\n66229 99341\n53600 80439\n98196 100000\n76136 100000\n48714 73143\n69824 100000\n29039 43730\n90754 100000\n89116 100000\n12433 18700\n24301 36627\n16189 24395\n95212 100000\n14473 21787\n65271 97897\n65363 98036\n10047 15117\n84446 100000\n56309 84473\n32903 49543\n56971 85466\n75717 100000\n52132 78259\n19843 29882\n80767 100000\n35957 54079\n94511 100000\n88500 100000\n62826 94228\n8191 12307\n17871 26922\n64692 97028\n23379 35234\n52279 78479\n17869 26918\n28875 43479\n29605 44588\n81566 100000\n47910 71959\n83525 100000\n2811 4264\n87658 100000\n56357 84545\n79808 100000\n84047 100000\n82504 100000\n99883 100000\n8980 13492\n6002 9017\n45728 68694\n20863 31441\n15924 23996\n84701 100000\n51019 76587\n40812 61383\n20536 30923\n69157 100000\n96894 100000\n52915 79437\n49260 73970\n19129 28815\n38376 57739\n94055 100000\n78322 100000\n3578 5399\n19561 29462\n90199 100000\n62343 93521\n74569 100000\n62579 93867\n51499 77298\n86847 100000\n66865 100000\n86868 100000\n28470 42866\n37034 55704\n61135 91726\n48886 73395\n17428 26254\n61568 92365\n49128 73765\n1859 2806\n76017 100000\n60978 91489\n72959 100000\n36169 54395\n24202 36477\n72753 100000\n41109 61834\n69166 100000\n25296 38121\n39483 59401\n25378 38246\n92308 100000\n78247 100000\n34841 52420\n64659 96976\n14458 21763\n47028 70655\n56496 84755\n41237 62027\n96179 100000\n69257 100000\n87655 100000\n36068 54241\n39579 59544\n41748 62783\n89911 100000\n54471 81733\n29011 43688\n64295 96432\n91015 100000\n26936 40578\n6853 10290\n70238 100000\n88216 100000\n14026 21124\n58060 87096\n94698 100000\n94184 100000\n81348 100000\n92086 100000\n56887 85339\n56511 84776\n90438 100000\n50567 75914\n85353 100000\n76297 100000\n21504 32420\n43521 65423\n68929 100000\n21536 32469\n7357 11054\n28516 42931\n35012 52671\n16448 24775\n29164 43920\n11576 17419\n78839 100000\n13301 20034\n73849 100000\n86654 100000\n72109 100000\n65545 98316\n94289 100000\n40866 61464\n13067 19679\n69300 100000\n61450 92196\n72272 100000\n82666 100000\n10122 15227\n73605 100000\n66595 99885\n68128 100000\n10927 16442\n20285 30545\n21970 33129\n74636 100000\n3534 5338\n20307 30576\n75182 100000\n29654 44663\n55379 83104\n81157 100000\n18010 27136\n2536 3837\n95821 100000\n80233 100000\n3065 4636\n60673 91031\n89743 100000\n46412 69726\n60541 90832\n7249 10889\n31413 47311\n52969 79517\n5600 8408\n98365 100000\n16647 25075\n97708 100000\n87504 100000\n97814 100000\n20125 30308\n28093 42299\n53038 79624\n5207 7833\n89885 100000\n20969 31597\n34473 51883\n27935 42059\n98867 100000\n403 594\n85333 100000\n35881 53963\n57053 85588\n97615 100000\n11153 16784\n31130 46878\n93448 100000\n96846 100000\n88942 100000\n88387 100000\n2193 3322\n48437 72732\n44769 67291\n22921 34533\n94736 100000\n55058 82608\n63720 95583\n57830 86744\n9917 14910\n72529 100000\n66617 99919\n73339 100000\n48222 72418\n16570 24956\n99801 100000\n20637 31081\n62452 93677\n62051 93086\n66462 99688\n79638 100000\n57665 86488\n66634 99942\n28335 42659\n68830 100000\n18780 28300\n10595 15930\n95188 100000\n66767 100000\n97311 100000\n77638 100000\n6864 10305\n39709 59738\n37861 56950\n27548 41487\n21848 32937\n32021 48220\n33035 49755\n45619 68540\n7305 10972\n66721 100000\n36 50\n96217 100000\n66074 99099\n10673 16052\n79445 100000\n49555 74416\n24108 36337\n590 879\n74710 100000\n75962 100000\n32250 48569\n96144 100000\n59617 89437\n20440 30779\n48131 72274\n85422 100000\n2561 3874\n89822 100000\n27004 40678\n30547 46012\n83673 100000\n12436 18705\n92179 100000\n18435 27780\n66053 99068\n92136 100000\n25531 38482\n70576 100000\n78178 100000\n76639 100000\n44458 66811\n4989 7514\n66797 100000\n8337 12519\n54623 81954\n99225 100000\n23842 35938\n22153 33395\n56096 84163\n44767 67288\n4218 6361\n49525 74373\n45133 67830\n36839 55405\n98714 100000\n77056 100000\n44589 67013\n883 1320\n22546 33972\n38125 57359\n39458 59362\n52290 78496\n30195 45495\n1436 2158\n56085 84147\n25236 38033\n76505 100000\n76663 100000\n87563 100000\n57579 86362\n68266 100000\n41424 62308\n42657 64136\n24614 37092\n17569 26471\n38182 57447\n79784 100000\n81561 100000\n26203 39478\n94006 100000\n25941 39104\n40160 60403\n27862 41952\n31323 47173\n64945 97403\n9875 14843\n51727 77651\n24236 36527\n15656 23590\n29481 44397\n28171 42421\n6344 9526\n31590 47576\n72475 100000\n68186 100000\n39104 58826\n11890 17885\n3817 5751\n89795 100000\n58191 87287\n54702 82067\n97939 100000\n1965 2966\n933 1393\n64376 96554\n74150 100000\n81737 100000\n53171 79822\n29639 44640\n77520 100000\n27992 42135\n47198 70906\n12330 18546\n44414 66749\n10643 16003\n99263 100000\n65067 97587\n43462 65332\n93031 100000\n59217 88829\n77357 100000\n82836 100000\n19811 29828\n5014 7550\n74798 100000\n15190 22876\n60902 91374\n11356 17090\n96435 100000\n16939 25513\n91962 100000\n70694 100000\n65178 97761\n65675 98505\n848 1267\n50788 76248\n47334 71105\n83879 100000\n37825 56895\n27474 41371\n76911 100000\n47835 71847\n66128 99187\n27224 41005\n79105 100000\n43872 65932\n5255 7898\n50536 75868\n25993 39170\n52159 78300\n65804 98686\n81679 100000\n46034 69150\n59968 89968\n67871 100000\n61991 92998\n16723 25185\n54911 82385\n55166 82774\n29869 44993\n11963 17994\n94574 100000\n19734 29724\n3306 5001\n70300 100000\n76477 100000\n92048 100000\n80780 100000\n54648 81988\n831 1244\n51278 76967\n59822 89752\n32762 49324\n220 317\n89706 100000\n47863 71889\n73993 100000\n50649 76040\n86741 100000\n90317 100000\n78465 100000\n3151 4764\n43906 65984\n23166 34916\n2691 4066\n89407 100000\n16608 25015\n49896 74915\n29868 44991\n9001 13522\n90637 100000\n20502 30875\n76871 100000\n43624 65577\n13813 20799\n64483 96714\n38951 58598\n4084 6164\n7585 11398\n10990 16542\n78747 100000\n25346 38197\n46891 70433\n10473 15752\n87906 100000\n59489 89247\n77562 100000\n78180 100000\n795 1190\n28872 43473\n88972 100000\n30986 46661\n52628 79005\n42098 63305\n42333 63649\n21509 32426\n69958 100000\n90335 100000\n48916 73443\n81703 100000\n68383 100000\n43657 65622\n20467 30818\n81830 100000\n39615 59596\n24158 36410\n62855 94265\n88671 100000\n93569 100000\n93509 100000\n45607 68519\n40042 60232\n30903 46533\n23990 36162\n75810 100000\n55020 82548\n82472 100000\n77406 100000\n15268 22993\n49623 74520\n63019 94506\n99701 100000\n2952 4464\n27869 41962\n57497 86247\n2246 3400\n15613 23523\n5501 8256\n41290 62108\n27991 42133\n30278 45618\n95363 100000\n69366 100000\n66061 99079\n4653 7016\n40254 60537\n22781 34322\n367 535\n39314 59149\n31209 47000\n79202 100000\n56053 84101\n27736 41766\n42536 63955\n26652 40149\n70478 100000\n94012 100000\n25308 38143\n42631 64097\n22221 33495\n84633 100000\n74869 100000\n90480 100000\n18386 27708\n24706 37234\n5363 8057\n7417 11145\n24206 36483\n22156 33399\n52006 78067\n91622 100000\n57424 86150\n87420 100000\n92920 100000\n7057 10593\n53769 80689\n46662 70091\n26798 40367\n27515 41438\n29989 45178\n57587 86375\n62416 93627\n49383 74156\n78209 100000\n38611 58084\n51385 77123\n51613 77473\n47525 71392\n98855 100000\n34131 51380\n74741 100000\n31640 47650\n40580 61037\n58156 87235\n26693 40210\n33620 50619\n12116 18225\n84764 100000\n90814 100000\n2194 3323\n67244 100000\n73771 100000\n63663 95499\n95635 100000\n6803 10214\n41195 61970\n46562 69946\n79760 100000\n29690 44721\n30055 45276\n82528 100000\n52246 78430\n47575 71465\n55295 82973\n26690 40204\n96208 100000\n73398 100000\n19999 30120\n14284 21496\n46669 70102\n54265 81416\n48878 73384\n62170 93266\n41901 63010\n66886 100000\n76252 100000\n12260 18444\n62512 93760\n12434 18702\n22034 33217\n19708 29683\n99942 100000\n32960 49633\n41583 62536\n82934 100000\n56793 85191\n97114 100000\n97811 100000\n58910 88369\n897 1341\n72163 100000\n11892 17888\n19632 29567\n89068 100000\n75624 100000\n23858 35962\n6304 9470\n44255 66507\n21530 32460\n41234 62024\n77 114\n93891 100000\n86699 100000\n32322 48680\n83636 100000\n75993 100000\n80102 100000\n10904 16405\n14197 21373\n98829 100000\n50008 75074\n43612 65559\n23051 34738\n63371 95042\n32703 49236\n72104 100000\n53841 80795\n2210 3348\n68333 100000\n12270 18460\n48848 73346\n46471 69811\n65865 98777\n1605 2415\n27786 41842\n78311 100000\n90715 100000\n34115 51357\n92734 100000\n43413 65263\n61338 92031\n17864 26911\n48420 72708\n14497 21823\n85095 100000\n20584 30998\n32988 49678\n47751 71719\n61876 92826\n64171 96249\n77380 100000\n11717 17632\n92508 100000\n26322 39654\n99823 100000\n70892 100000\n76746 100000\n38210 57489\n94578 100000\n69753 100000\n34184 51458\n51178 76822\n4206 6343\n75927 100000\n4009 6047\n353 512\n26797 40365\n25489 38419\n64410 96608\n74648 100000\n43620 65571\n8897 13366\n5964 8964\n41130 61869\n10035 15097\n44658 67120\n71253 100000\n20962 31586\n84670 100000\n52781 79231\n67258 100000\n97221 100000\n80022 100000\n88129 100000\n55282 82953\n3863 5823\n8135 12223\n64792 97181\n10542 15850\n91662 100000\n5715 8587\n75473 100000\n87674 100000\n92902 100000\n37092 55786\n66082 99112\n8763 13160\n1484 2229\n63642 95467\n34755 52295\n88146 100000\n11100 16708\n58931 88402\n74244 100000\n89320 100000\n88430 100000\n77534 100000\n14003 21086\n76433 100000\n57219 85836\n29910 45052\n16721 25182\n39781 59848\n64180 96262\n55377 83102\n53357 80095\n85168 100000\n76263 100000\n61746 92633\n733 1097\n64971 97442\n82829 100000\n86202 100000\n39032 58718\n96956 100000\n8084 12147\n13713 20648\n43970 66086\n45604 68514\n32966 49644\n37831 56904\n40708 61226\n75697 100000\n71122 100000\n2309 3495\n14213 21398\n39988 60150\n83320 100000\n69487 100000\n45143 67846\n67259 100000\n62759 94127\n97634 100000\n25914 39065\n63066 94583\n71685 100000\n45739 68711\n83413 100000\n78243 100000\n63438 95143\n66419 99624\n52348 78587\n46146 69319\n10563 15884\n30189 45487\n87807 100000\n6313 9484\n19280 29046\n66317 99476\n31832 47940\n8574 12873\n73083 100000\n7950 11946\n59791 89700\n92720 100000\n80912 100000\n25836 38951\n18496 27873\n2440 3686\n87850 100000\n95221 100000\n91644 100000\n47461 71295\n25913 39064\n81022 100000\n93467 100000\n62686 94027\n7721 11600\n81211 100000\n62742 94101\n43831 65875\n64921 97370\n54476 81741\n17118 25790\n3475 5253\n56394 84603\n53259 79948\n36697 55195\n75206 100000\n99491 100000\n27674 41674\n76296 100000\n70151 100000\n89011 100000\n58746 88121\n84858 100000\n8910 13385\n9219 13852\n30042 45259\n74698 100000\n18278 27545\n81040 100000\n9099 13670\n14813 22301\n58121 87187\n37437 56301\n88083 100000\n3527 5326\n50079 75183\n51447 77217\n50935 76466\n85068 100000\n45600 68506\n52856 79343\n4906 7399\n74837 100000\n26454 39861\n61021 91553\n27122 40848\n64545 96810\n39054 58751\n4048 6107\n42719 64224\n30081 45321\n67277 100000\n69256 100000\n72794 100000\n95910 100000\n91548 100000\n19919 30002\n41739 62768\n50019 75090\n73629 100000\n25044 37748\n31196 46982\n64240 96348\n33368 50239\n9065 13619\n80333 100000\n41453 62347\n14995 22582\n51444 77212\n63286 94919\n11622 17485\n72880 100000\n57162 85752\n62295 93450\n33226 50032\n40278 60578\n73245 100000\n58095 87149\n98570 100000\n65908 98847\n31373 47250\n1519 2279\n83570 100000\n69388 100000\n95606 100000\n62441 93662\n48692 73111\n18842 28393\n7774 11677\n30904 46534\n23876 35991\n35460 53344\n38887 58504\n34353 51708\n4773 7198\n72983 100000\n4968 7485\n3573 5393\n29120 43850\n85070 100000\n23510 35435\n39651 59654\n43071 64749\n63173 94749\n49323 74066\n40361 60705\n91109 100000\n49224 73918\n21626 32605\n18787 28310\n23049 34734\n33243 50062\n20980 31614\n49 70\n57546 86321\n29038 43728\n90954 100000\n87547 100000\n65905 98841\n56623 84943\n45940 69009\n13151 19816\n25543 38500\n29565 44524\n36437 54805\n84657 100000\n80038 100000\n90143 100000\n20388 30695\n13936 20987\n46252 69480\n26696 40214\n74680 100000\n21275 32071\n8754 13147\n96319 100000\n10607 15945\n78105 100000\n66704 100000\n33704 50746\n94986 100000\n25936 39098\n69667 100000\n21125 31838\n9066 13621\n40567 61016\n22510 33917\n53762 80680\n57346 86034\n50194 75363\n42096 63302\n94217 100000\n59947 89937\n40182 60437\n59092 88651\n58013 87023\n34803 52366\n98290 100000\n60157 90258\n13664 20572\n43074 64752\n69681 100000\n49983 75037\n75068 100000\n2861 4336\n29545 44493\n82769 100000\n88263 100000\n17475 26328\n51785 77738\n2337 3532\n79109 100000\n34191 51468\n40711 61229\n65617 98424\n75873 100000\n20941 31551\n2506 3791\n48823 73308\n57652 86468\n25672 38702\n14683 22104\n82970 100000\n97402 100000\n61131 91719\n37403 56250\n2252 3411\n80881 100000\n18394 27719\n91461 100000\n52029 78102\n43922 66012\n945 1410\n62652 93975\n74595 100000\n20777 31307\n31856 47977\n99477 100000\n31029 46723\n41407 62281\n73312 100000\n99631 100000\n83432 100000\n99601 100000\n73378 100000\n2100 3174\n18719 28214\n12255 18437\n46488 69839\n98621 100000\n52717 79137\n91733 100000\n10464 15740\n58100 87156\n99094 100000\n24095 36319\n62077 93124\n96112 100000\n16850 25372\n37030 55697\n31798 47890\n88949 100000\n94684 100000\n64241 96350\n64271 96394\n94069 100000\n40547 60988\n81526 100000\n37441 56306\n67151 100000\n75808 100000\n50912 76435\n87863 100000\n41626 62601\n66659 99979\n46576 69968\n41071 61776\n4605 6944\n28982 43642\n22352 33687\n36906 55506\n40123 60349\n83585 100000\n37579 56513\n93859 100000\n4878 7354\n68893 100000\n69462 100000\n29000 43669\n99786 100000\n13604 20482\n85602 100000\n62687 94028\n73609 100000\n70788 100000\n16497 24849\n53956 80962\n24235 36525\n15246 22959\n3078 4654\n1997 3016\n63160 94728\n40501 60915\n42202 63456\n67643 100000\n19744 29739\n96856 100000\n99933 100000\n35295 53092\n5669 8511\n53637 80493\n32330 48693\n8907 13380\n24808 37401\n51312 77013\n99202 100000\n69090 100000\n37383 56221\n69379 100000\n23388 35244\n92283 100000\n24262 36568\n90507 100000\n88680 100000\n96109 100000\n45181 67903\n37939 57071\n52964 79509\n78733 100000\n52773 79220\n73190 100000\n36720 55225\n71720 100000\n68263 100000\n67332 100000\n17987 27099\n49929 74961\n75911 100000\n9968 14988\n84516 100000\n67190 100000\n84695 100000\n69930 100000\n11372 17115\n79182 100000\n7322 11000\n61606 92423\n29871 44996\n28676 43175\n36427 54790\n5124 7709\n33560 50524\n67088 100000\n84184 100000\n11590 17439\n39136 58879\n75538 100000\n69975 100000\n78516 100000\n63783 95677\n50949 76485\n53409 80170\n99596 100000\n42441 63816\n22687 34178\n17664 26618\n7366 11068\n53261 79951\n41364 62216\n28766 43316\n8525 12796\n4115 6208\n19292 29066\n27421 41292\n1520 2280\n54526 81813\n3887 5861\n65208 97809\n31923 48077\n90968 100000\n59082 88633\n33873 51004\n38168 57428\n92934 100000\n98783 100000\n91080 100000\n45617 68538\n90844 100000\n68319 100000\n7362 11061\n19260 29014\n13079 19701\n3271 4953\n44409 66742\n992 1484\n28403 42764\n88282 100000\n91308 100000\n20391 30700\n78109 100000\n34360 51717\n81756 100000\n95125 100000\n72788 100000\n15375 23166\n6110 9175\n52119 78238\n60406 90634\n72857 100000\n91661 100000\n28267 42563\n49832 74819\n60010 90031\n55536 83336\n74768 100000\n95724 100000\n68219 100000\n63644 95470\n65869 98783\n94117 100000\n61977 92974\n82285 100000\n38368 57727\n69226 100000\n8489 12750\n9217 13848\n48290 72517\n40454 60843\n83388 100000\n14351 21597\n41224 62011\n90400 100000\n25177 37941\n29249 44047\n63109 94648\n72404 100000\n70242 100000\n72604 100000\n62658 93984\n37327 56137\n17113 25782\n52617 78991\n66529 99789\n35917 54020\n18748 28255\n15973 24067\n24351 36700\n70580 100000\n90389 100000\n54043 81089\n69200 100000\n91104 100000\n28134 42363\n8575 12875\n34470 51878\n48831 73320\n42242 63514\n98220 100000\n97362 100000\n77467 100000\n22790 34336\n45985 69078\n11278 16970\n45021 67660\n34795 52353\n32212 48515\n18702 28190\n245 349\n63205 94795\n14434 21725\n8977 13488\n11802 17759\n14529 21872\n23888 36007\n46964 70551\n32013 48208\n16520 24889\n88842 100000\n68966 100000\n12390 18635\n58161 87241\n61025 91558\n25424 38318\n7827 11758\n7479 11246\n25590 38569\n5085 7653\n59364 89057\n96460 100000\n8262 12406\n33817 50918\n40809 61379\n57582 86367\n80650 100000\n92158 100000\n9678 14546\n69242 100000\n35151 52881\n1266 1897\n34566 52015\n74523 100000\n97539 100000\n34747 52286\n14461 21767\n57114 85680\n39426 59315\n4006 6042\n72177 100000\n57655 86474\n87996 100000\n71187 100000\n7231 10863\n83763 100000\n41746 62780\n61748 92637\n1765 2663\n31606 47601\n87539 100000\n55322 83014\n87913 100000\n54902 82372\n68973 100000\n23825 35912\n88020 100000\n94165 100000\n41055 61750\n57182 85783\n7356 11052\n12634 19010\n75178 100000\n22991 34648\n66444 99662\n13983 21053\n52754 79190\n29019 43701\n70147 100000\n70358 100000\n93226 100000\n88252 100000\n58500 87736\n14266 21470\n24692 37212\n9464 14226\n78035 100000\n31748 47811\n16323 24595\n1890 2848\n62843 94248\n56990 85495\n73126 100000\n45742 68716\n1749 2637\n98524 100000\n26891 40512\n65567 98348\n94188 100000\n63561 95336\n57406 86122\n76784 100000\n10039 15103\n68778 100000\n30583 46067\n64451 96671\n60017 90043\n77768 100000\n46035 69152\n46585 69981\n58097 87152\n22761 34291\n95890 100000\n54974 82481\n1923 2899\n24052 36255\n40964 61608\n2523 3818\n64953 97417\n81346 100000\n6172 9266\n14294 21513\n51190 76839\n92030 100000\n8038 12075\n49519 74364\n18895 28468\n14092 21221\n23118 34844\n30640 46153\n45261 68021\n25905 39053\n28168 42416\n49709 74642\n35709 53707\n97493 100000\n12524 18842\n16116 24290\n80683 100000\n87760 100000\n63632 95452\n55687 83561\n9019 13552\n65935 98891\n84690 100000\n31594 47583\n32971 49652\n51243 76917\n70123 100000\n11806 17765\n4758 7176\n11091 16695\n75414 100000\n10263 15440\n39832 59923\n94256 100000\n10502 15792\n39321 59159\n29553 44506\n64282 96413\n74520 100000\n11962 17992\n65012 97507\n74369 100000\n9177 13790\n63263 94885\n75345 100000\n23469 35368\n13730 20672\n18913 28493\n80892 100000\n84029 100000\n24660 37160\n6426 9648\n67646 100000\n40581 61038\n8447 12677\n33448 50358\n94436 100000\n72729 100000\n94976 100000\n34624 52100\n15862 23906\n6265 9410\n35064 52748\n70199 100000\n81499 100000\n55601 83438\n79736 100000\n99213 100000\n40025 60208\n89120 100000\n61556 92348\n19783 29787\n91309 100000\n99040 100000\n23652 35648\n99633 100000\n81101 100000\n27984 42125\n98789 100000\n61216 91847\n79224 100000\n5810 8726\n23047 34731\n41375 62235\n10186 15322\n59100 88663\n8996 13512\n22746 34268\n50247 75438\n25730 38791\n93830 100000\n9721 14612\n16002 24111\n54501 81780\n4289 6465\n74750 100000\n97516 100000\n8223 12353\n97646 100000\n35299 53098\n61187 91803\n52664 79057\n27704 41718\n487 719\n76069 100000\n39853 59955\n9915 14906\n4660 7028\n23552 35501\n86028 100000\n44976 67592\n42721 64228\n64006 96004\n71377 100000\n20309 30579\n1226 1834\n5738 8620\n46321 69589\n96554 100000\n73177 100000\n13252 19960\n29780 44854\n7563 11364\n33737 50794\n7684 11547\n65462 98192\n80661 100000\n98257 100000\n36212 54459\n92776 100000\n76209 100000\n58084 87130\n50588 75945\n96952 100000\n54401 81620\n13024 19616\n29651 44658\n1919 2894\n89373 100000\n43992 66120\n4917 7415\n24539 36975\n86567 100000\n15545 23423\n16070 24216\n82616 100000\n48893 73406\n73308 100000\n98843 100000\n77572 100000\n76289 100000\n61248 91895\n4744 7157\n42295 63594\n92764 100000\n92267 100000\n88654 100000\n6611 9918\n13688 20610\n69687 100000\n17356 26147\n65609 98411\n83190 100000\n45280 68047\n36233 54491\n61122 91708\n96825 100000\n64561 96832\n80239 100000\n23002 34664\n63460 95177\n37973 57120\n13905 20942\n87999 100000\n50956 76495\n77604 100000\n76452 100000\n50845 76335\n6802 10212\n94636 100000\n57029 85552\n90560 100000\n41977 63126\n1178 1758\n98691 100000\n12526 18844\n54927 82408\n92494 100000\n66473 99703\n27529 41461\n17185 25894\n22803 34352\n80836 100000\n62962 94424\n85355 100000\n77717 100000\n33023 49739\n15434 23253\n23276 35079\n68213 100000\n29577 44541\n53080 79688\n83164 100000\n17373 26171\n79513 100000\n72545 100000\n2550 3858\n24390 36760\n53731 80636\n128 187\n88808 100000\n71162 100000\n76147 100000\n6382 9583\n77930 100000\n51926 77949\n69264 100000\n27248 41037\n44473 66834\n44368 66680\n2259 3420\n76857 100000\n11494 17299\n10375 15608\n11495 17300\n69212 100000\n34352 51706\n88526 100000\n65670 98499\n76178 100000\n78763 100000\n81416 100000\n54874 82326\n23937 36076\n39086 58797\n95323 100000\n57547 86322\n63929 95891\n20115 30294\n7082 10632\n55129 82719\n53587 80419\n49684 74607\n91885 100000\n42210 63468\n52168 78314\n75371 100000\n15860 23903\n94041 100000\n55151 82751\n73953 100000\n34951 52577\n22124 33354\n93889 100000\n16152 24342\n60862 91316\n4310 6498\n86081 100000\n25107 37841\n79331 100000\n59025 88549\n89916 100000\n38094 57314\n81093 100000\n30634 46143\n83540 100000\n50383 75635\n94279 100000\n84768 100000\n14665 22079\n16866 25399\n97185 100000\n68348 100000\n30021 45228\n86271 100000\n30674 46208\n31488 47426\n76633 100000\n61454 92202\n45348 68151\n24378 36742\n9150 13747\n97800 100000\n68279 100000\n23496 35410\n12028 18088\n42206 63462\n18168 27372\n91978 100000\n12749 19192\n416 612\n48474 72788\n46790 70283\n33459 50374\n35205 52964\n65263 97887\n44399 66730\n1964 2965\n77974 100000\n71251 100000\n40532 60963\n92997 100000\n2313 3500\n52594 78963\n91517 100000\n74113 100000\n90505 100000\n62207 93322\n7854 11799\n67241 100000\n39370 59235\n52245 78428\n43710 65693\n83875 100000\n88351 100000\n98724 100000\n39153 58904\n97891 100000\n24532 36962\n86566 100000\n42732 64244\n97786 100000\n85343 100000\n14486 21809\n87565 100000\n8207 12328\n3685 5560\n21480 32385\n441 652\n58764 88149\n53759 80676\n90705 100000\n69640 100000\n1813 2736\n17324 26103\n41049 61742\n39655 59662\n77353 100000\n54896 82360\n65564 98344\n85800 100000\n86957 100000\n92751 100000\n5720 8594\n74213 100000\n41491 62404\n62863 94276\n55236 82882\n92615 100000\n53529 80337\n90777 100000\n56716 85087\n12317 18527\n71308 100000\n30209 45517\n77028 100000\n21261 32045\n23688 35705\n48920 73449\n40940 61572\n1503 2255\n69317 100000\n96802 100000\n19673 29631\n97685 100000\n96490 100000\n50505 75815\n3622 5466\n83925 100000\n57992 86995\n37496 56391\n94876 100000\n24179 36442\n26756 40304\n60490 90756\n4436 6688\n57847 86770\n53523 80329\n50423 75697\n9434 14181\n61092 91660\n9143 13739\n71515 100000\n40929 61555\n28247 42531\n30355 45731\n70899 100000\n15060 22678\n57697 86539\n52570 78926\n39299 59122\n75197 100000\n57649 86465\n34110 51349\n33960 51130\n93342 100000\n1545 2319\n26725 40257\n73756 100000\n90023 100000\n81283 100000\n32195 48489\n44837 67390\n71118 100000\n19462 29315\n32573 49055\n59709 89573\n30702 46248\n23449 35336\n87981 100000\n61620 92446\n45557 68445\n97068 100000\n59179 88776\n78915 100000\n723 1082\n37998 57157\n83240 100000\n90616 100000\n41711 62728\n71031 100000\n18695 28179\n39394 59271\n46642 70064\n10830 16288\n5634 8458\n84319 100000\n48544 72898\n69931 100000\n21563 32510\n30423 45829\n81992 100000\n88327 100000\n23358 35202\n64637 96943\n83856 100000\n63788 95684\n17729 26718\n90864 100000\n8137 12227\n22415 33781\n21600 32562\n96760 100000\n51817 77792\n99687 100000\n13118 19762\n61897 92861\n69113 100000\n78892 100000\n16320 24591\n65013 97509\n56682 85032\n45871 68906\n44422 66759\n30798 46384\n46977 70571\n3397 5137\n74701 100000\n34995 52646\n27240 41028\n14226 21415\n30718 46272\n86808 100000\n60970 91475\n43726 65715\n38684 58188\n36600 55058\n38923 58559\n58357 87534\n66354 99529\n78707 100000\n53365 80106\n22657 34130\n35441 53314\n4912 7408\n30920 46561\n23866 35974\n7115 10683\n53321 80042\n46896 70440\n90041 100000\n95491 100000\n43415 65266\n12652 19040\n95489 100000\n19399 29219\n27284 41093\n42811 64355\n12645 19029\n70893 100000\n38800 58372\n11943 17963\n24684 37198\n38365 57723\n88474 100000\n92493 100000\n4130 6231\n30215 45527\n36282 54568\n94646 100000\n44944 67541\n14643 22047\n66689 100000\n41819 62889\n3228 4886\n28800 43370\n48583 72951\n6503 9765\n98993 100000\n97760 100000\n7170 10773\n59289 88943\n48025 72130\n8609 12925\n84809 100000\n19018 28649\n20399 30715\n10309 15506\n2114 3198\n34260 51571\n32815 49408\n24970 37640\n24059 36264\n1145 1709\n35394 53241\n22255 33548\n73439 100000\n92133 100000\n33105 49859\n98244 100000\n28250 42537\n72394 100000\n56031 84065\n53290 79997\n50768 76213\n20510 30886\n33702 50743\n42745 64261\n9722 14614\n73151 100000\n92120 100000\n23553 35503\n60147 90244\n74378 100000\n75662 100000\n10367 15595\n9961 14979\n88589 100000\n54489 81760\n20758 31275\n27654 41645\n89312 100000\n38071 57275\n96122 100000\n90384 100000\n60311 90484\n19068 28719\n24302 36629\n393 577\n50887 76395\n39287 59102\n55409 83151\n71862 100000\n3641 5495\n7733 11619\n38562 58018\n17058 25698\n54420 81648\n27419 41288\n63775 95666\n61341 92036\n54853 82294\n66657 99975\n66070 99094\n32567 49044\n62741 94100\n28299 42612\n30285 45627\n6930 10401\n12183 18329\n35886 53970\n24250 36547\n13068 19681\n34525 51957\n31929 48087\n10381 15618\n78143 100000\n73656 100000\n92405 100000\n88713 100000\n38554 58006\n16589 24984\n7074 10621\n21089 31783\n52800 79259\n37919 57038\n67034 100000\n37675 56655\n86656 100000\n16429 24748\n54786 82193\n12762 19213\n99179 100000\n63531 95287\n95308 100000\n74615 100000\n43004 64643\n24868 37491\n76706 100000\n26676 40188\n20642 31090\n37167 55900\n35375 53213\n98466 100000\n22508 33914\n30670 46202\n7876 11835\n10372 15604\n52274 78473\n60270 90424\n79185 100000\n20687 31160\n57246 85882\n74657 100000\n87649 100000\n46751 70231\n80584 100000\n77060 100000\n51100 76705\n63043 94547\n78727 100000\n43895 65967\n6910 10371\n98845 100000\n31586 47570\n11824 17789\n2441 3687\n64356 96525\n85711 100000\n26013 39198\n26460 39869\n92735 100000\n83360 100000\n12824 19316\n26477 39893\n22931 34549\n98681 100000\n95983 100000\n55242 82890\n41351 62197\n72314 100000\n34673 52178\n6767 10162\n57958 86945\n89952 100000\n70155 100000\n90714 100000\n61302 91982\n60740 91142\n93558 100000\n80689 100000\n55402 83140\n78139 100000\n81033 100000\n48142 72292\n1134 1693\n40421 60795\n6106 9169\n31960 48132\n38311 57648\n47078 70730\n68731 100000\n88095 100000\n78140 100000\n79753 100000\n37158 55886\n3126 4729\n21209 31967\n23312 35132\n12748 19190\n38649 58138\n37351 56170\n41586 62540\n39669 59681\n16325 24598\n43135 64841\n57858 86786\n17444 26281\n96028 100000\n84055 100000\n17162 25859\n80047 100000\n59011 88528\n56274 84425\n52947 79484\n60236 90377\n52045 78126\n5010 7545\n99459 100000\n75664 100000\n2240 3390\n62606 93902\n36898 55494\n33537 50488\n36907 55507\n2531 3830\n57195 85803\n77179 100000\n74130 100000\n28981 43640\n34055 51264\n60253 90402\n89380 100000\n36655 55135\n74417 100000\n65968 98942\n70756 100000\n83056 100000\n9531 14329\n73765 100000\n32821 49418\n62372 93561\n85780 100000\n48507 72844\n42868 64441\n54264 81415\n8602 12914\n59573 89372\n75596 100000\n92595 100000\n38680 58184\n29103 43826\n20572 30981\n94187 100000\n79634 100000\n45019 67656\n63248 94861\n11497 17302\n40294 60604\n78167 100000\n1795 2709\n68455 100000\n62848 94255\n94274 100000\n34509 51934\n35714 53716\n27640 41618\n24905 37550\n51260 76943\n69990 100000\n71298 100000\n52224 78400\n33142 49912\n56492 84749\n90371 100000\n87759 100000\n48694 73113\n3355 5076\n84908 100000\n14402 21675\n35090 52790\n89954 100000\n72550 100000\n86283 100000\n97384 100000\n82852 100000\n53367 80109\n26934 40575\n35512 53416\n74577 100000\n68476 100000\n23746 35794\n79269 100000\n13536 20376\n87797 100000\n42818 64364\n16406 24714\n27094 40803\n42771 64296\n67855 100000\n35827 53886\n67281 100000\n86722 100000\n12045 18115\n62027 93051\n86876 100000\n43282 65068\n2585 3912\n36681 55173\n82388 100000\n67147 100000\n1898 2860\n24273 36582\n75775 100000\n71346 100000\n97806 100000\n45827 68844\n10118 15221\n8731 13114\n83949 100000\n37893 57000\n73102 100000\n35783 53820\n22585 34024\n86042 100000\n70929 100000\n24884 37519\n27328 41156\n94540 100000\n7235 10868\n90420 100000\n76460 100000\n71150 100000\n98436 100000\n88859 100000\n66272 99405\n9868 14834\n72170 100000\n2362 3573\n42628 64093\n58889 88338\n68166 100000\n36477 54864\n60987 91503\n75779 100000\n84062 100000\n65959 98927\n82574 100000\n81822 100000\n21896 33013\n62385 93578\n25094 37823\n8644 12978\n8940 13430\n12456 18738\n80269 100000\n24114 36346\n6858 10296\n25620 38620\n57822 86734\n15756 23734\n13632 20522\n49309 74042\n5430 8152\n48746 73194\n54477 81742\n64850 97265\n61778 92679\n50827 76306\n5098 7671\n74076 100000\n40463 60859\n67296 100000\n24130 36370\n88076 100000\n18034 27169\n17493 26354\n25857 38980\n24264 36570\n92311 100000\n73342 100000\n39892 60011\n48861 73363\n31758 47827\n33660 50677\n38431 57821\n90031 100000\n50633 76018\n97129 100000\n51413 77164\n97188 100000\n52768 79213\n55688 83563\n48551 72909\n85389 100000\n95745 100000\n34665 52168\n18421 27760\n98723 100000\n14569 21932\n6480 9732\n2163 3274\n45426 68262\n20822 31377\n40308 60625\n19738 29729\n53480 80267\n80803 100000\n44088 66256\n12429 18694\n93945 100000\n60124 90208\n67206 100000\n56667 85008\n47661 71589\n7520 11299\n52841 79320\n88535 100000\n86031 100000\n71731 100000\n57322 86001\n8826 13260\n96547 100000\n30699 46243\n13558 20413\n6741 10120\n3148 4760\n52884 79388\n53714 80614\n85756 100000\n51270 76956\n2051 3098\n2776 4207\n76620 100000\n29046 43742\n5229 7866\n24728 37273\n21924 33056\n62314 93478\n15165 22840\n98433 100000\n94162 100000\n60566 90870\n55034 82569\n69073 100000\n74795 100000\n56891 85346\n27801 41863\n38363 57720\n33412 50302\n65797 98675\n75568 100000\n26355 39706\n1948 2941\n99193 100000\n49256 73965\n21361 32209\n25926 39083\n23674 35685\n59676 89519\n47805 71803\n79022 100000\n18450 27805\n38282 57599\n3804 5735\n89606 100000\n66021 99019\n84630 100000\n70643 100000\n82762 100000\n30898 46525\n95782 100000\n55050 82594\n70424 100000\n79572 100000\n13458 20269\n78770 100000\n63333 94989\n77375 100000\n39145 58892\n52116 78234\n94657 100000\n64102 96146\n85439 100000\n61044 91587\n11084 16685\n63498 95236\n89637 100000\n47071 70718\n25920 39075\n11150 16781\n49680 74602\n47464 71301\n72736 100000\n91887 100000\n74946 100000\n49414 74199\n88987 100000\n24689 37207\n2878 4363\n20487 30852\n51653 77537\n50363 75607\n39667 59678\n29625 44618\n64309 96451\n92507 100000\n50456 75745\n8643 12977\n8300 12464\n40619 61093\n38706 58223\n57154 85741\n1973 2976\n38039 57228\n68323 100000\n33009 49714\n41747 62781\n21257 32039\n85581 100000\n72361 100000\n35738 53751\n13264 19980\n75972 100000\n4599 6936\n56721 85094\n84581 100000\n80296 100000\n93130 100000\n46111 69266\n10154 15273\n77843 100000\n68272 100000\n82006 100000\n65405 98101\n24939 37595\n37333 56145\n6849 10283\n6333 9513\n7977 11982\n19120 28801\n51901 77913\n17941 27029\n78268 100000\n66212 99313\n94681 100000\n13158 19825\n84261 100000\n10059 15134\n65038 97544\n97177 100000\n64629 96933\n10218 15375\n68714 100000\n90995 100000\n58143 87218\n35863 53941\n78700 100000\n66296 99444\n55098 82668\n32051 48267\n5221 7853\n472 694\n69065 100000\n51715 77632\n60795 91226\n29956 45127\n59389 89095\n2408 3638\n83303 100000\n60657 91007\n29950 45116\n44106 66285\n47606 71512\n67023 100000\n35797 53840\n96751 100000\n63534 95292\n1840 2775\n98548 100000\n90369 100000\n98822 100000\n17048 25682\n48684 73100\n82158 100000\n17408 26223\n18659 28126\n78144 100000\n24308 36637\n68873 100000\n75327 100000\n76874 100000\n8303 12468\n44041 66192\n21653 32644\n8796 13215\n45945 69016\n61673 92525\n14383 21645\n52207 78375\n95078 100000\n96563 100000\n32353 48726\n99920 100000\n24200 36474\n16643 25069\n24895 37534\n46991 70594\n32591 49079\n90899 100000\n85233 100000\n13047 19650\n68370 100000\n44759 67275\n26565 40022\n52518 78839\n3440 5202\n22906 34512\n82291 100000\n30272 45610\n15835 23865\n19828 29853\n65872 98789\n81227 100000\n84769 100000\n41311 62139\n22793 34340\n95079 100000\n16797 25292\n29713 44754\n84462 100000\n53853 80811\n37711 56714\n27525 41454\n67879 100000\n74222 100000\n5045 7593\n75036 100000\n9931 14932\n92097 100000\n8708 13076\n84019 100000\n55890 83853\n99544 100000\n91653 100000\n82446 100000\n44451 66802\n96667 100000\n43409 65259\n60393 90612\n33679 50706\n92851 100000\n19557 29456\n92873 100000\n15550 23429\n86536 100000\n4076 6150\n99463 100000\n14552 21907\n9023 13558\n73534 100000\n58658 87974\n99230 100000\n58211 87314\n66132 99193\n56825 85244\n22607 34056\n16649 25077\n74576 100000\n4150 6262\n81684 100000\n8854 13303\n6952 10437\n36754 55279\n49036 73623\n2002 3024\n93566 100000\n64506 96752\n97198 100000\n23931 36068\n33629 50632\n97390 100000\n33466 50383\n23160 34907\n31718 47770\n83072 100000\n2036 3076\n36447 54820\n50504 75814\n72888 100000\n41386 62250\n24299 36625\n64389 96576\n84968 100000\n94163 100000\n42926 64529\n56918 85387\n33468 50386\n98152 100000\n39980 60136\n10966 16507\n54176 81283\n74021 100000\n75789 100000\n88391 100000\n36716 55221\n97392 100000\n65903 98839\n94950 100000\n18455 27814\n5844 8781\n50989 76540\n26786 40347\n28561 43000\n98158 100000\n84967 100000\n18030 27163\n211 306\n15757 23735\n44091 66260\n54232 81366\n18690 28172\n59103 88667\n71934 100000\n9842 14795\n17861 26907\n51372 77102\n89271 100000\n39834 59926\n34016 51211\n63099 94633\n28966 43618\n17959 27057\n59964 89963\n73845 100000\n67489 100000\n27232 41016\n29321 44156\n36362 54692\n516 763\n59509 89277\n67975 100000\n32961 49634\n70171 100000\n55615 83455\n6470 9717\n16097 24258\n34588 52048\n36403 54752\n6422 9640\n49048 73642\n56554 84839\n89383 100000\n29797 44879\n68158 100000\n5708 8576\n80667 100000\n38977 58636\n15551 23430\n11001 16559\n56369 84563\n19401 29223\n46414 69728\n95755 100000\n41141 61886\n3869 5831\n78175 100000\n48879 73385\n55915 83890\n26984 40649\n98321 100000\n21305 32120\n13448 20253\n66688 100000\n32636 49143\n11666 17555\n7824 11754\n96462 100000\n40077 60283\n3130 4736\n6394 9600\n71747 100000\n92059 100000\n51449 77220\n84073 100000\n31382 47264\n82302 100000\n52811 79276\n34341 51692\n97004 100000\n51378 77113\n26905 40534\n75519 100000\n2718 4110\n96330 100000\n52396 78658\n10953 16484\n63537 95297\n74010 100000\n79766 100000\n71801 100000\n92823 100000\n39857 59961\n31426 47331\n22079 33289\n97552 100000\n49274 73989\n78206 100000\n61194 91815\n41115 61845\n73162 100000\n97502 100000\n5684 8533\n63224 94823\n66267 99398\n74264 100000\n50922 76449\n16196 24404\n9775 14696\n64470 96695\n72833 100000\n58510 87752\n21080 31770\n13630 20519\n89406 100000\n65 94\n16428 24746\n72160 100000\n6119 9188\n98676 100000\n91178 100000\n21378 32233\n63938 95902\n43848 65898\n1335 2000\n13253 19962\n92613 100000\n92251 100000\n85777 100000\n4213 6353\n31904 48051\n37729 56741\n61739 92621\n93974 100000\n48717 73148\n13136 19791\n52001 78061\n9237 13879\n78906 100000\n83761 100000\n59159 88747\n25858 38981\n70370 100000\n22179 33432\n53175 79827\n96857 100000\n8510 12778\n67878 100000\n32557 49030\n16789 25282\n70815 100000\n63276 94903\n7652 11497\n780 1170\n55331 83027\n56707 85073\n72742 100000\n50319 75544\n58224 87333\n24193 36463\n96081 100000\n18957 28559\n94479 100000\n51675 77570\n96508 100000\n14876 22401\n41118 61851\n31242 47051\n87997 100000\n72269 100000\n46264 69501\n70616 100000\n37216 55974\n48346 72600\n88166 100000\n92769 100000\n25499 38433\n95427 100000\n18749 28256\n37105 55804\n9094 13663\n66828 100000\n60160 90263\n59486 89243\n10444 15711\n38203 57479\n47924 71979\n73664 100000\n92565 100000\n94395 100000\n42725 64232\n78606 100000\n87901 100000\n67559 100000\n92560 100000\n13839 20838\n61007 91533\n43979 66100\n13122 19767\n68622 100000\n87909 100000\n90061 100000\n12975 19543\n47688 71626\n50993 76547\n1440 2163\n69486 100000\n37281 56071\n45624 68547\n87778 100000\n50347 75583\n99934 100000\n65644 98464\n42147 63377\n26397 39771\n74505 100000\n56644 84972\n60540 90831\n92727 100000\n62190 93297\n19831 29859\n73231 100000\n52217 78391\n52192 78353\n21949 33095\n2386 3607\n60649 90997\n63556 95327\n75121 100000\n50669 76070\n46320 69587\n35581 53507\n39998 60163\n49012 73588\n39359 59219\n81276 100000\n42992 64623\n90281 100000\n30675 46209\n64044 96061\n14982 22563\n48182 72352\n34666 52169\n23942 36083\n4242 6397\n99900 100000\n35382 53223\n30078 45318\n48312 72546\n96536 100000\n83822 100000\n11507 17317\n93984 100000\n68899 100000\n91712 100000\n73250 100000\n1911 2881\n50036 75114\n94863 100000\n67482 100000\n76213 100000\n95492 100000\n1906 2873\n46722 70186\n25405 38289\n2222 3365\n44311 66590\n53341 80072\n68704 100000\n68154 100000\n951 1421\n88837 100000\n86628 100000\n47739 71700\n25785 38874\n90809 100000\n66701 100000\n19695 29662\n87292 100000\n60102 90172\n33073 49810\n99332 100000\n38383 57751\n89299 100000\n61649 92492\n41895 63002\n27610 41578\n71831 100000\n2008 3034\n95290 100000\n38947 58593\n97078 100000\n28414 42781\n51197 76849\n9827 14773\n84936 100000\n43092 64779\n75293 100000\n8395 12599\n26620 40102\n38765 58317\n38432 57822\n26348 39693\n85798 100000\n4444 6700\n21422 32296\n28502 42912\n11746 17672\n17847 26886\n57502 86256\n34283 51608\n45356 68160\n56050 84095\n79605 100000\n80218 100000\n60581 90892\n71449 100000\n53712 80611\n82062 100000\n10650 16015\n90451 100000\n46437 69761\n13237 19937\n46567 69954\n22934 34554\n74963 100000\n72277 100000\n51480 77266\n32800 49386\n24631 37118\n45314 68098\n15191 22877\n28773 43326\n56414 84634\n24788 37365\n80004 100000\n72466 100000\n96555 100000\n15575 23465\n19492 29361\n31348 47211\n60712 91095\n86667 100000\n59222 88836\n18736 28238\n95346 100000\n89202 100000\n76680 100000\n97107 100000\n27336 41168\n76219 100000\n44704 67190\n31837 47949\n38230 57519\n89766 100000\n36656 55137\n7252 10893\n80475 100000\n23416 35287\n47821 71827\n23531 35467\n98495 100000\n68342 100000\n19842 29880\n75707 100000\n29362 44218\n50366 75610\n15407 23215\n49178 73844\n4046 6103\n83777 100000\n64777 97159\n72725 100000\n2178 3298\n3461 5234\n45672 68613\n21065 31746\n78356 100000\n51988 78043\n78884 100000\n60143 90237\n29511 44440\n76331 100000\n40332 60661\n66815 100000\n41655 62643\n6003 9019\n61197 91819\n72274 100000\n90833 100000\n96037 100000\n77954 100000\n49080 73692\n16812 25315\n93748 100000\n68670 100000\n60239 90382\n68694 100000\n37596 56540\n11573 17415\n89613 100000\n57979 86977\n78918 100000\n44266 66525\n60717 91103\n36908 55508\n40272 60567\n8646 12982\n41845 62927\n27649 41635\n75434 100000\n19836 29869\n99441 100000\n64303 96443\n46885 70425\n51914 77931\n44714 67206\n51537 77359\n90181 100000\n82044 100000\n67578 100000\n8984 13498\n50905 76424\n71844 100000\n38482 57892\n51605 77459\n48396 72673\n82554 100000\n18096 27263\n87339 100000\n76004 100000\n67435 100000\n47029 70656\n71665 100000\n47951 72018\n81200 100000\n51213 76873\n45398 68222\n65148 97711\n44478 66843\n86442 100000\n8061 12113\n23352 35191\n59777 89678\n45829 68847\n73887 100000\n6104 9165\n34582 52039\n89430 100000\n85886 100000\n11046 16622\n11844 17819\n32652 49166\n12551 18883\n20737 31244\n28173 42425\n42703 64202\n67938 100000\n19642 29583\n23999 36177\n14911 22454\n97882 100000\n7606 11428\n26539 39982\n68343 100000\n41475 62382\n64446 96663\n72522 100000\n77307 100000\n54517 81802\n88591 100000\n36181 54412\n90396 100000\n41906 63018\n9022 13556\n46399 69708\n85054 100000\n19527 29413\n85217 100000\n67900 100000\n3278 4964\n43530 65436\n67128 100000\n9089 13654\n16948 25526\n74521 100000\n69324 100000\n86887 100000\n56854 85287\n43781 65800\n58591 87871\n47352 71132\n26632 40119\n42189 63437\n30830 46427\n12224 18391\n73603 100000\n37418 56273\n53934 80931\n4913 7410\n96879 100000\n93142 100000\n37515 56414\n32140 48403\n25884 39022\n19507 29381\n69082 100000\n28085 42286\n24029 36224\n50674 76077\n14951 22517\n56641 84968\n47675 71609\n9963 14982\n86718 100000\n85535 100000\n16796 25291\n51232 76900\n86685 100000\n48712 73141\n55519 83312\n87436 100000\n5751 8637\n52790 79244\n67301 100000\n5181 7794\n54920 82398\n26077 39293\n43937 66037\n19045 28684\n70559 100000\n48328 72571\n7609 11434\n58526 87775\n3789 5714\n468 689\n41183 61949\n77680 100000\n30218 45531\n96994 100000\n15177 22858\n51335 77047\n86220 100000\n24930 37584\n59478 89230\n72406 100000\n89636 100000\n1866 2815\n43479 65355\n24494 36910\n63753 95630\n63688 95534\n42754 64274\n14680 22100\n91902 100000\n41770 62818\n3637 5490\n58952 88436\n68123 100000\n22166 33412\n17347 26135\n20349 30640\n40578 61034\n71415 100000\n50455 75743\n3430 5189\n14535 21881\n82259 100000\n43055 64724\n79340 100000\n62601 93894\n15438 23259\n55286 82959\n33255 50077\n58708 88053\n10481 15763\n54522 81807\n52515 78833\n20304 30573\n43045 64706\n81565 100000\n86325 100000\n24448 36847\n78485 100000\n32996 49693\n9944 14952\n92779 100000\n81656 100000\n89400 100000\n3066 4638\n31104 46837\n64474 96700\n28946 43587\n98272 100000\n95278 100000\n5467 8209\n56946 85428\n44597 67026\n73273 100000\n69955 100000\n69618 100000\n22043 33232\n62408 93614\n83967 100000\n94275 100000\n93844 100000\n60501 90771\n71603 100000\n75300 100000\n33722 50772\n48138 72284\n38862 58470\n10347 15564\n37870 56964\n27152 40891\n34664 52166\n26882 40496\n84424 100000\n45737 68708\n95560 100000\n7022 10540\n92370 100000\n66735 100000\n37948 57082\n25770 38853\n73531 100000\n56767 85155\n71229 100000\n120 175\n63207 94798\n78401 100000\n46274 69517\n89242 100000\n20747 31259\n65322 97972\n161 234\n55474 83245\n48097 72231\n67379 100000\n61522 92299\n47001 70607\n3398 5138\n65902 98838\n66000 98989\n65558 98336\n7385 11097\n8580 12882\n60900 91370\n85703 100000\n43407 65256\n81613 100000\n23933 36070\n62436 93655\n39906 60029\n62669 94001\n3679 5552\n41210 61992\n52669 79064\n53104 79723\n54529 81817\n48196 72377\n1315 1970\n60897 91366\n34363 51720\n5267 7915\n47995 72087\n34205 51486\n61792 92700\n98873 100000\n61421 92156\n45719 68684\n45242 67993\n84934 100000\n44642 67093\n7199 10817\n29170 43928\n96004 100000\n87206 100000\n31534 47495\n19140 28832\n90051 100000\n26708 40231\n46484 69831\n13660 20566\n24316 36650\n10362 15587\n7335 11019\n50537 75870\n4956 7471\n57682 86516\n67134 100000\n25638 38649\n48758 73213\n66983 100000\n70909 100000\n67698 100000\n91011 100000\n83500 100000\n2889 4382\n21909 33033\n46390 69695\n96088 100000\n80648 100000\n55114 82694\n74114 100000\n16312 24579\n41870 62967\n97677 100000\n58428 87631\n96334 100000\n51913 77930\n51644 77525\n86457 100000\n92230 100000\n87025 100000\n76797 100000\n79341 100000\n13859 20871\n85455 100000\n38785 58348\n72584 100000\n11440 17217\n88186 100000\n6739 10117\n12790 19259\n8178 12288\n69550 100000\n88747 100000\n53328 80052\n82179 100000\n924 1382\n49765 74724\n74112 100000\n12586 18936\n24870 37494\n65842 98745\n19335 29128\n49889 74903\n70240 100000\n91421 100000\n40592 61053\n5242 7883\n19792 29801\n57173 85769\n91556 100000\n82844 100000\n28573 43018\n55162 82770\n64986 97463\n41048 61741\n75451 100000\n8461 12700\n11804 17762\n47656 71581\n1693 2549\n15404 23212\n26071 39284\n8978 13489\n26592 40060\n96034 100000\n12921 19460\n15841 23875\n6464 9708\n48185 72357\n59683 89530\n41856 62946\n90985 100000\n34839 52418\n55887 83847\n68823 100000\n95929 100000\n80499 100000\n21014 31671\n44376 66694\n85829 100000\n39817 59901\n49897 74916\n96966 100000\n73868 100000\n18077 27231\n68519 100000\n26610 40087\n18033 27167\n98390 100000\n50002 75065\n59455 89195\n37305 56105\n51918 77936\n81612 100000\n81875 100000\n23341 35174\n96835 100000\n60244 90388\n34958 52587\n74271 100000\n54926 82406\n90251 100000\n74240 100000\n2976 4501\n44878 67449\n92481 100000\n24254 36554\n85307 100000\n70104 100000\n85311 100000\n96451 100000\n9887 14863\n12817 19305\n5250 7892\n54025 81067\n82949 100000\n16855 25380\n55499 83282\n96356 100000\n36810 55363\n70072 100000\n27841 41920\n38941 58586\n98281 100000\n53045 79632\n51819 77795\n33389 50268\n22769 34304\n9056 13606\n98545 100000\n72110 100000\n31739 47798\n61808 92724\n25645 38660\n69877 100000\n87790 100000\n2076 3138\n4133 6235\n11593 17444\n73570 100000\n46916 70471\n58293 87435\n19378 29188\n13745 20694\n21028 31688\n43824 65866\n65689 98526\n18926 28514\n41839 62919\n14757 22214\n51259 76941\n38590 58056\n78586 100000\n76180 100000\n84955 100000\n79268 100000\n58425 87626\n77670 100000\n68096 100000\n77745 100000\n41365 62218\n2700 4081\n2044 3087\n68576 100000\n65239 97852\n35055 52735\n73537 100000\n31384 47266\n29505 44430\n55026 82557\n38449 57849\n99598 100000\n15033 22637\n50158 75310\n10989 16540\n25281 38098\n10557 15876\n65134 97687\n61875 92825\n78736 100000\n79628 100000\n51754 77694\n33604 50591\n60704 91082\n92662 100000\n27660 41653\n53630 80482\n13206 19889\n74863 100000\n73154 100000\n34413 51793\n98507 100000\n29548 44499\n80973 100000\n95398 100000\n45156 67866\n29735 44789\n21845 32932\n40519 60941\n13314 20054\n54375 81583\n83916 100000\n42522 63936\n63231 94833\n19331 29123\n2077 3140\n46506 69866\n22347 33680\n81269 100000\n20802 31346\n434 641\n97527 100000\n7701 11570\n1816 2741\n18482 27854\n17978 27085\n58956 88441\n17661 26613\n88248 100000\n72770 100000\n67163 100000\n64306 96447\n33547 50503\n34865 52457\n58686 88017\n64414 96614\n32347 48716\n80530 100000\n87575 100000\n72376 100000\n43540 65452\n73360 100000\n11755 17686\n5942 8934\n66719 100000\n5392 8096\n24053 36257\n20726 31227\n85058 100000\n84256 100000\n49574 74446\n34291 51618\n39378 59249\n39885 60001\n31262 47078\n71851 100000\n18262 27520\n27452 41340\n68537 100000\n55099 82670\n52063 78149\n30462 45890\n31383 47265\n23377 35231\n49433 74229\n63092 94623\n32473 48899\n37201 55951\n2975 4500\n21241 32017\n97324 100000\n92462 100000\n5089 7659\n84738 100000\n13031 19626\n20517 30897\n13242 19945\n8210 12332\n99002 100000\n20817 31369\n84730 100000\n6962 10450\n11775 17718\n75685 100000\n29628 44623\n79630 100000\n98864 100000\n74334 100000\n2279 3449\n2503 3786\n53207 79875\n34277 51600\n55808 83735\n30102 45354\n71638 100000\n22280 33584\n89693 100000\n34748 52287\n29636 44636\n7237 10870\n6184 9288\n68084 100000\n80649 100000\n30611 46112\n7296 10958\n23169 34920\n27870 41964\n69636 100000\n11951 17974\n57200 85809\n60913 91391\n4026 6074\n28453 42838\n47003 70611\n42567 64000\n35749 53768\n87629 100000\n41563 62507\n10415 15668\n65439 98158\n98134 100000\n58987 88493\n5933 8920\n61769 92668\n64360 96532\n46621 70032\n24783 37357\n69395 100000\n42291 63589\n82389 100000\n82092 100000\n72253 100000\n53204 79871\n17303 26073\n96186 100000\n73880 100000\n90331 100000\n83973 100000\n95946 100000\n38919 58553\n1389 2087\n28399 42757\n62885 94310\n85630 100000\n92187 100000\n46017 69126\n76578 100000\n28153 42395\n85835 100000\n32048 48262\n29716 44759\n3473 5250\n80305 100000\n63319 94970\n481 708\n68850 100000\n6034 9063\n22319 33642\n18886 28455\n73900 100000\n71860 100000\n81145 100000\n53092 79706\n44528 66923\n84610 100000\n93207 100000\n90121 100000\n60567 90872\n84074 100000\n93022 100000\n40814 61386\n8472 12720\n81680 100000\n55750 83648\n73957 100000\n88278 100000\n4415 6656\n52360 78603\n6308 9475\n86189 100000\n34242 51540\n5075 7638\n22321 33645\n98360 100000\n86732 100000\n17342 26127\n22806 34357\n2955 4468\n84533 100000\n19108 28781\n58133 87204\n3612 5452\n5937 8925\n95553 100000\n30121 45382\n83239 100000\n22037 33222\n14666 22080\n6777 10177\n83222 100000\n84188 100000\n44095 66267\n17070 25718\n6976 10471\n64960 97427\n40070 60275\n56140 84227\n86714 100000\n85347 100000\n52776 79224\n83747 100000\n14267 21472\n32967 49645\n91807 100000\n63320 94971\n97766 100000\n42639 64111\n29436 44327\n31343 47203\n38085 57299\n54429 81661\n57520 86283\n56830 85254\n19196 28917\n95292 100000\n90788 100000\n44110 66291\n98917 100000\n54682 82037\n86676 100000\n24675 37181\n49177 73843\n94849 100000\n12857 19358\n98964 100000\n58118 87181\n77431 100000\n39509 59438\n62560 93840\n90670 100000\n98939 100000\n54242 81381\n87782 100000\n46092 69237\n46250 69477\n1611 2423\n28223 42497\n51600 77452\n89072 100000\n26506 39935\n55165 82773\n80963 100000\n11292 16993\n47612 71521\n87251 100000\n34726 52253\n12535 18857\n80133 100000\n34794 52351\n21558 32501\n71227 100000\n24032 36228\n32616 49116\n15430 23246\n77164 100000\n16909 25464\n84434 100000\n12812 19297\n19028 28663\n2935 4443\n51948 77982\n64292 96427\n51425 77182\n16015 24131\n88515 100000\n56517 84783\n91594 100000\n75466 100000\n96671 100000\n11913 17922\n30996 46676\n73627 100000\n11640 17514\n745 1118\n85012 100000\n54257 81404\n34308 51643\n62179 93283\n37103 55802\n39249 59045\n26216 39494\n81442 100000\n23752 35802\n27628 41603\n49748 74699\n34142 51393\n18587 28018\n76052 100000\n19824 29847\n88585 100000\n77602 100000\n53719 80621\n95062 100000\n33548 50505\n11104 16715\n85486 100000\n37775 56815\n85654 100000\n21630 32609\n7739 11628\n78023 100000\n54450 81696\n26211 39488\n60071 90125\n46095 69242\n81363 100000\n23232 35014\n61355 92055\n71408 100000\n79585 100000\n53338 80067\n50722 76149\n24228 36516\n47793 71786\n26131 39375\n64827 97232\n45479 68336\n21969 33128\n61321 92007\n57489 86236\n85496 100000\n85334 100000\n38040 57229\n4052 6114\n17565 26464\n48913 73437\n21212 31971\n90456 100000\n69575 100000\n7661 11513\n97519 100000\n61733 92614\n43983 66107\n45590 68488\n7018 10533\n28660 43148\n71723 100000\n72045 100000\n22463 33851\n17674 26632\n95322 100000\n15567 23453\n57690 86528\n1778 2682\n66883 100000\n52596 78966\n65646 98467\n12606 18967\n14922 22472\n64612 96908\n50454 75742\n28943 43582\n4503 6791\n16881 25422\n87487 100000\n53334 80062\n89046 100000\n56784 85180\n25856 38979\n12164 18303\n31330 47185\n5054 7606\n59848 89792\n82618 100000\n88420 100000\n44574 66988\n70901 100000\n90044 100000\n47109 70779\n58281 87419\n6165 9255\n82669 100000\n10996 16551\n83721 100000\n64999 97484\n38338 57686\n27009 40684\n52593 78962\n10208 15357\n92502 100000\n3347 5063\n62373 93562\n30848 46455\n12897 19422\n6096 9151\n15649 23578\n29920 45066\n44211 66442\n35351 53176\n32291 48634\n64724 97077\n80765 100000\n69966 100000\n56064 84116\n27789 41846\n52451 78740\n73002 100000\n23799 35877\n37181 55920\n15394 23196\n98258 100000\n91325 100000\n96600 100000\n19037 28674\n71290 100000\n91058 100000\n71923 100000\n86625 100000\n89 133\n24253 36553\n60699 91074\n76876 100000\n32298 48644\n38400 57776\n97918 100000\n69683 100000\n94985 100000\n49879 74890\n29467 44372\n13140 19796\n71744 100000\n52310 78528\n10879 16363\n83455 100000\n29281 44096\n73015 100000\n58860 88297\n79757 100000\n81039 100000\n96910 100000\n80276 100000\n20809 31356\n60538 90828\n16680 25125\n75649 100000\n49596 74483\n37855 56940\n89524 100000\n85197 100000\n44446 66796\n34802 52364\n91675 100000\n54222 81352\n20016 30148\n14603 21984\n35621 53570\n4479 6752\n6549 9829\n71549 100000\n1883 2840\n4753 7170\n84606 100000\n76050 100000\n30349 45722\n52344 78581\n94074 100000\n25555 38518\n73094 100000\n92274 100000\n24395 36766\n49303 74031\n44359 66668\n89182 100000\n35685 53667\n24745 37296\n98750 100000\n72349 100000\n34655 52152\n90229 100000\n51037 76612\n14853 22363\n70354 100000\n26311 39639\n42426 63790\n15100 22738\n77524 100000\n96157 100000\n71855 100000\n99025 100000\n4280 6450\n37995 57152\n7965 11967\n88235 100000\n52292 78499\n71782 100000\n45974 69064\n97666 100000\n86675 100000\n87394 100000\n86610 100000\n39606 59583\n69232 100000\n73660 100000\n13618 20502\n85166 100000\n33160 49936\n78149 100000\n1631 2455\n32628 49132\n72881 100000\n11419 17187\n34076 51299\n47233 70955\n46419 69736\n50890 76399\n66270 99402\n6468 9714\n71109 100000\n91682 100000\n77607 100000\n80298 100000\n10472 15751\n9057 13607\n23720 35752\n64354 96523\n58386 87573\n44127 66317\n58477 87704\n78361 100000\n60993 91510\n32472 48897\n50510 75824\n71364 100000\n4780 7207\n24947 37606\n60836 91280\n89165 100000\n35540 53452\n29672 44690\n16912 25469\n39912 60037\n3472 5248\n99639 100000\n53361 80100\n12486 18784\n84737 100000\n46478 69822\n67352 100000\n58729 88090\n3837 5779\n53606 80445\n38346 57697\n41622 62594\n61283 91950\n59413 89131\n36550 54975\n75809 100000\n15448 23272\n77549 100000\n41676 62677\n79051 100000\n70535 100000\n96442 100000\n7401 11121\n63893 95839\n50233 75415\n85934 100000\n5220 7852\n28606 43070\n51863 77860\n74534 100000\n94278 100000\n92603 100000\n16158 24350\n87355 100000\n8165 12269\n29243 44037\n2928 4433\n35071 52757\n76499 100000\n81941 100000\n84942 100000\n57598 86388\n86956 100000\n32936 49593\n88226 100000\n21332 32162\n48792 73262\n73415 100000\n29726 44776\n86486 100000\n29914 45057\n14477 21793\n26520 39954\n5428 8149\n65185 97774\n69508 100000\n70294 100000\n71740 100000\n5161 7765\n57354 86045\n12212 18372\n55673 83539\n85508 100000\n7198 10815\n75308 100000\n50400 75661\n69774 100000\n86483 100000\n80813 100000\n1654 2490\n65952 98916\n35226 52994\n56082 84142\n60964 91466\n72934 100000\n77759 100000\n57889 86834\n43355 65178\n56731 85111\n77495 100000\n66497 99740\n55604 83441\n65110 97652\n54364 81569\n18027 27158\n19869 29923\n80160 100000\n11835 17805\n76157 100000\n82390 100000\n73918 100000\n95537 100000\n40650 61136\n63401 95093\n29967 45144\n6135 9212\n4811 7255\n62169 93264\n38793 58361\n42418 63778\n46366 69655\n28814 43391\n6182 9285\n85750 100000\n83332 100000\n56503 84764\n18252 27502\n26461 39871\n11471 17266\n63068 94586\n21710 32722\n27123 40849\n1648 2481\n49777 74741\n35344 53164\n89140 100000\n21857 32949\n51187 76835\n60509 90784\n51549 77376\n61201 91824\n91372 100000\n89246 100000\n52412 78681\n54442 81682\n80429 100000\n43454 65321\n26376 39738\n80295 100000\n50656 76049\n57355 86046\n61659 92505\n16477 24819\n93074 100000\n95835 100000\n94971 100000\n62287 93437\n73811 100000\n49804 74780\n33709 50753\n78328 100000\n97161 100000\n76081 100000\n24579 37036\n19863 29914\n61995 93003\n53900 80882\n68057 100000\n95402 100000\n38551 58001\n73449 100000\n15897 23954\n67957 100000\n63502 95241\n29675 44695\n36976 55613\n99936 100000\n90208 100000\n78424 100000\n45191 67916\n52071 78162\n95447 100000\n51304 77003\n33089 49837\n83402 100000\n82726 100000\n39915 60040\n91174 100000\n57761 86642\n49024 73605\n76009 100000\n74816 100000\n8566 12858\n30493 45932\n59308 88972\n20899 31493\n85501 100000\n32234 48548\n7573 11379\n1978 2984\n82956 100000\n93465 100000\n98978 100000\n67326 100000\n24034 36231\n61451 92197\n8927 13411\n37733 56748\n37799 56854\n83658 100000\n7777 11682\n60988 91504\n90935 100000\n14750 22202\n68629 100000\n10353 15574\n14988 22574\n46345 69625\n50834 76317\n98060 100000\n73125 100000\n66222 99330\n42678 64166\n5748 8634\n54387 81599\n85812 100000\n56994 85501\n12718 19142\n59710 89575\n23748 35797\n63769 95655\n63797 95699\n82850 100000\n3964 5983\n54780 82184\n62307 93468\n65887 98813\n2003 3026\n97671 100000\n65103 97641\n97104 100000\n51775 77723\n61822 92743\n33864 50988\n66056 99073\n90891 100000\n82647 100000\n92379 100000\n41851 62937\n89323 100000\n71954 100000\n97006 100000\n16802 25300\n37314 56118\n67709 100000\n74001 100000\n26661 40164\n20376 30679\n30596 46090\n41353 62199\n94231 100000\n27904 42018\n29856 44974\n20984 31620\n49509 74346\n34759 52301\n98262 100000\n52643 79026\n62692 94036\n3293 4984\n40200 60461\n14115 21259\n57887 86831\n95992 100000\n65117 97663\n26100 39327\n76722 100000\n7037 10562\n19382 29195\n16937 25510\n61838 92770\n70512 100000\n22496 33898\n70861 100000\n7759 11657\n64994 97476\n42481 63875\n66020 99018\n19311 29094\n2592 3921\n59404 89118\n87020 100000\n29126 43857\n12545 18873\n4129 6229\n4081 6159\n80722 100000\n44647 67101\n9250 13900\n36986 55628\n52763 79204\n26373 39733\n81529 100000\n19915 29996\n38545 57991\n64794 97185\n90599 100000\n11520 17337\n32957 49629\n6665 10004\n10137 15248\n63486 95217\n75886 100000\n32610 49106\n40789 61348\n71185 100000\n86717 100000\n18908 28487\n68014 100000\n9345 14044\n43695 65674\n73706 100000\n60049 90089\n23138 34871\n62220 93343\n58274 87409\n54747 82133\n87474 100000\n58169 87255\n61794 92702\n32327 48688\n88648 100000\n60328 90512\n43728 65718\n99116 100000\n26807 40380\n80946 100000\n72164 100000\n56847 85277\n88845 100000\n25134 37881\n9240 13883\n8403 12614\n79338 100000\n90869 100000\n5478 8227\n47875 71907\n75593 100000\n95394 100000\n66332 99495\n91009 100000\n467 688\n54727 82100\n70751 100000\n97083 100000\n81541 100000\n4933 7438\n65544 98315\n38911 58540\n94267 100000\n16738 25207\n66403 99597\n78663 100000\n20460 30807\n13787 20760\n24511 36935\n99178 100000\n62199 93310\n75576 100000\n75778 100000\n50489 75794\n60620 90956\n93066 100000\n13441 20244\n18198 27422\n74848 100000\n56177 84287\n20359 30654\n4949 7459\n6686 10039\n53216 79887\n72303 100000\n29198 43973\n93272 100000\n7804 11722\n91936 100000\n80260 100000\n83154 100000\n45683 68630\n66536 99798\n85295 100000\n7126 10699\n37344 56159\n78815 100000\n52157 78296\n90693 100000\n28219 42489\n91674 100000\n66632 99939\n73428 100000\n92505 100000\n36146 54358\n27932 42056\n79545 100000\n29112 43839\n39238 59028\n63933 95896\n18102 27271\n66980 100000\n81946 100000\n76739 100000\n55564 83380\n73430 100000\n13945 20998\n61772 92671\n99182 100000\n65429 98141\n17280 26040\n43115 64812\n71776 100000\n88217 100000\n25122 37865\n30039 45254\n21645 32630\n5418 8137\n80910 100000\n97956 100000\n21284 32086\n67572 100000\n85532 100000\n98544 100000\n38207 57485\n23229 35009\n59834 89772\n11437 17213\n72366 100000\n14846 22349\n78341 100000\n55634 83483\n98104 100000\n5036 7580\n18024 27154\n29806 44892\n24996 37675\n53074 79678\n12459 18741\n2826 4286\n20169 30375\n84986 100000\n24199 36473\n58053 87086\n71331 100000\n60915 91393\n13850 20857\n19690 29655\n79569 100000\n70170 100000\n53392 80143\n86417 100000\n82325 100000\n26920 40558\n31441 47351\n85254 100000\n39697 59722\n73468 100000\n82972 100000\n16230 24456\n70998 100000\n38029 57211\n30925 46569\n38161 57417\n77681 100000\n19605 29529\n93407 100000\n30060 45285\n48796 73270\n5861 8809\n57336 86020\n87435 100000\n83461 100000\n3898 5879\n17020 25637\n97979 100000\n17644 26589\n73872 100000\n61264 91920\n81418 100000\n42506 63910\n30708 46258\n74353 100000\n42238 63508\n26016 39204\n93361 100000\n27876 41972\n4148 6259\n43904 65981\n39362 59223\n27475 41373\n5058 7612\n29934 45088\n25521 38469\n87824 100000\n96310 100000\n79162 100000\n60874 91334\n84604 100000\n53903 80886\n19934 30023\n42480 63874\n48337 72585\n75141 100000\n73004 100000\n89185 100000\n50762 76206\n76211 100000\n14053 21165\n12560 18895\n6537 9813\n65137 97693\n15254 22972\n78393 100000\n31110 46845\n95455 100000\n70233 100000\n55498 83281\n34924 52541\n9603 14438\n18882 28447\n83163 100000\n16876 25414\n89093 100000\n95328 100000\n22149 33388\n36322 54632\n66660 99980\n97246 100000\n61975 92971\n74735 100000\n11156 16788\n42928 64533\n42570 64004\n73185 100000\n94223 100000\n33913 51061\n69734 100000\n61209 91836\n84152 100000\n3304 4998\n55157 82763\n1438 2161\n38489 57902\n49757 74711\n40072 60277\n96832 100000\n30304 45655\n44937 67532\n28488 42892\n63630 95448\n79076 100000\n82933 100000\n65302 97946\n31421 47325\n12313 18523\n52833 79308\n2757 4173\n45811 68821\n46680 70118\n84612 100000\n75928 100000\n20168 30374\n57275 85926\n63655 95485\n93636 100000\n5153 7753\n54683 82039\n1984 2995\n58452 87665\n91735 100000\n8103 12171\n50609 75981\n4222 6368\n26518 39951\n25536 38489\n78632 100000\n52383 78636\n11575 17418\n9283 13948\n90551 100000\n25111 37847\n60963 91464\n55229 82869\n28743 43280\n385 564\n32146 48413\n62593 93884\n45755 68735\n38268 57580\n8892 13359\n39719 59753\n24635 37123\n74077 100000\n77923 100000\n99535 100000\n43340 65156\n42566 63999\n76837 100000\n61541 92328\n7375 11081\n17112 25780\n51873 77873\n82126 100000\n22590 34030\n14295 21515\n2969 4492\n93478 100000\n97152 100000\n82408 100000\n5544 8317\n66571 99850\n68765 100000\n5657 8493\n96559 100000\n83740 100000\n1782 2686\n7841 11780\n87789 100000\n55647 83504\n78427 100000\n46037 69155\n61930 92905\n72344 100000\n48021 72123\n86369 100000\n85892 100000\n78458 100000\n13956 21014\n50465 75758\n22778 34317\n42040 63217\n18016 27142\n45180 67902\n43118 64816\n37908 57023\n9205 13829\n37170 55904\n5306 7973\n34250 51555\n49093 73712\n44973 67587\n98707 100000\n28245 42528\n18756 28266\n64149 96216\n97335 100000\n28765 43315\n93819 100000\n73818 100000\n5041 7587\n32830 49431\n89382 100000\n93213 100000\n13097 19728\n548 812\n98421 100000\n91203 100000\n91129 100000\n59680 89526\n35696 53686\n44166 66376\n51968 78013\n50317 75541\n12169 18310\n5132 7721\n38301 57631\n36184 54417\n29121 43852\n32144 48409\n62981 94450\n56403 84617\n36588 55040\n53981 81002\n66798 100000\n36011 54157\n51218 76880\n66421 99626\n26254 39553\n30376 45759\n73867 100000\n81966 100000\n635 953\n77247 100000\n47104 70770\n5703 8568\n3471 5247\n450 666\n7695 11561\n49981 75033\n5384 8084\n86077 100000\n80288 100000\n23541 35485\n9451 14207\n26750 40295\n44000 66134\n41368 62223\n13336 20088\n19938 30031\n47596 71496\n71556 100000\n51234 76904\n5522 8287\n25379 38248\n19704 29677\n69185 100000\n89298 100000\n91478 100000\n75319 100000\n84286 100000\n89437 100000\n60011 90032\n18383 27703\n4766 7187\n65586 98376\n18513 27901\n97262 100000\n54592 81910\n97916 100000\n80744 100000\n76228 100000\n50151 75299\n51121 76735\n14171 21338\n47302 71057\n89900 100000\n85361 100000\n7857 11804\n17624 26557\n73549 100000\n97125 100000\n71564 100000\n57499 86251\n65417 98120\n94872 100000\n81388 100000\n54055 81105\n97983 100000\n52788 79241\n71774 100000\n1488 2234\n85184 100000\n88361 100000\n49535 74387\n38968 58621\n35746 53765\n81323 100000\n35301 53101\n98952 100000\n7919 11900\n50679 76084\n53948 80951\n40229 60501\n10376 15610\n41875 62973\n83469 100000\n39187 58956\n74762 100000\n42694 64188\n3721 5616\n38578 58039\n68065 100000\n66306 99459\n52963 79507\n46311 69575\n54543 81838\n95468 100000\n41606 62572\n55951 83943\n24462 36868\n20582 30994\n62621 93924\n44794 67327\n10235 15399\n38918 58551\n62471 93706\n25463 38382\n47388 71185\n75792 100000\n25054 37763\n14978 22558\n40526 60954\n81063 100000\n44014 66154\n47116 70787\n459 679\n39349 59202\n8073 12130\n10662 16034\n42585 64025\n27929 42052\n24867 37490\n36476 54863\n30372 45754\n32337 48703\n22766 34300\n15597 23497\n89899 100000\n40419 60793\n66381 99567\n82078 100000\n8716 13088\n51035 76609\n63817 95729\n18136 27321\n91552 100000\n91253 100000\n53590 80424\n64757 97125\n34492 51911\n88439 100000\n75484 100000\n90066 100000\n86049 100000\n59344 89024\n55802 83725\n37258 56036\n10339 15551\n28511 42926\n61059 91609\n94429 100000\n14067 21187\n54952 82449\n97371 100000\n27799 41860\n77925 100000\n80772 100000\n74409 100000\n90575 100000\n26380 39745\n46631 70048\n64553 96822\n81985 100000\n71274 100000\n69600 100000\n52379 78629\n46587 69985\n31028 46722\n76418 100000\n38318 57659\n25240 38038\n91645 100000\n17953 27046\n10333 15541\n75966 100000\n71107 100000\n71838 100000\n41468 62371\n19188 28905\n87722 100000\n31595 47585\n73736 100000\n13218 19909\n88362 100000\n91604 100000\n97140 100000\n7416 11144\n70045 100000\n53269 79965\n18080 27236\n42733 64246\n34542 51981\n85498 100000\n32065 48289\n98480 100000\n9381 14098\n88711 100000\n97454 100000\n96628 100000\n62281 93430\n44804 67343\n26642 40134\n32388 48773\n46777 70266\n82823 100000\n82164 100000\n29109 43835\n39051 58747\n48075 72202\n68082 100000\n16324 24597\n73978 100000\n33299 50143\n78939 100000\n7067 10609\n40002 60170\n54901 82370\n87178 100000\n89069 100000\n35196 52951\n38477 57884\n45400 68225\n668 1000\n89341 100000\n59094 88654\n57999 87004\n54236 81372\n89608 100000\n39068 58770\n70089 100000\n28889 43500\n14592 21967\n77944 100000\n97544 100000\n8185 12300\n25330 38172\n13183 19857\n82541 100000\n66631 99937\n5730 8608\n16268 24516\n7776 11680\n69318 100000\n23405 35268\n13616 20498\n10023 15079\n57643 86457\n88936 100000\n62729 94082\n92479 100000\n64639 96946\n84807 100000\n28651 43134\n16808 25309\n7725 11606\n12215 18377\n61470 92227\n22344 33675\n66133 99195\n93802 100000\n56835 85261\n38327 57670\n27128 40856\n21159 31892\n77762 100000\n72357 100000\n96829 100000\n76378 100000\n5063 7620\n94938 100000\n1808 2729\n99417 100000\n15211 22904\n66089 99125\n62068 93110\n51841 77828\n61869 92815\n98377 100000\n30433 45843\n71624 100000\n23284 35088\n57712 86565\n54499 81777\n47077 70728\n3980 6005\n28613 43080\n51249 76926\n17497 26360\n98801 100000\n76832 100000\n73774 100000\n19594 29510\n19368 29173\n29602 44583\n43005 64644\n35015 52674\n36878 55463\n60062 90111\n55344 83050\n36478 54866\n67350 100000\n5796 8702\n82282 100000\n50205 75376\n23154 34897\n56935 85411\n30816 46411\n78749 100000\n90085 100000\n93099 100000\n9930 14931\n41010 61682\n49134 73774\n96747 100000\n38322 57664\n54408 81631\n43280 65065\n93627 100000\n33486 50412\n42824 64374\n96053 100000\n16013 24128\n22589 34029\n14474 21789\n98392 100000\n11080 16677\n17024 25644\n12485 18782\n16117 24292\n93469 100000\n6994 10502\n85187 100000\n73945 100000\n8079 12140\n30440 45856\n60651 91000\n36178 54407\n10510 15804\n57511 86270\n50932 76462\n58507 87746\n73625 100000\n15563 23447\n52505 78818\n38434 57826\n77558 100000\n82598 100000\n49871 74878\n12752 19196\n22954 34587\n17238 25979\n31738 47797\n50480 75781\n40942 61576\n12827 19319\n53094 79710\n10811 16262\n67468 100000\n23893 36015\n53831 80782\n69646 100000\n21687 32692\n39065 58764\n1755 2645\n87528 100000\n39678 59694\n58496 87731\n64229 96332\n54300 81468\n64691 97027\n97287 100000\n63008 94490\n67711 100000\n74107 100000\n5572 8362\n39614 59595\n89080 100000\n27725 41750\n28234 42511\n3634 5487\n95275 100000\n31206 46997\n21673 32674\n68602 100000\n72809 100000\n7722 11602\n72464 100000\n13973 21039\n48147 72300\n9199 13820\n31230 47034\n73148 100000\n89440 100000\n28783 43344\n62006 93020\n70137 100000\n96685 100000\n99938 100000\n34001 51187\n47723 71676\n81239 100000\n17367 26162\n17261 26012\n59469 89216\n4497 6781\n78373 100000\n23279 35082\n24231 36520\n31372 47248\n60618 90952\n93196 100000\n59929 89912\n94352 100000\n18710 28201\n41085 61796\n881 1318\n62493 93736\n64536 96795\n30806 46397\n74888 100000\n25467 38387\n79866 100000\n35793 53834\n23060 34751\n71105 100000\n59426 89151\n96692 100000\n380 555\n9830 14778\n11067 16655\n58782 88177\n59510 89278\n30010 45209\n33215 50014\n35135 52856\n41908 63021\n1858 2805\n73588 100000\n29021 43703\n76110 100000\n21900 33019\n71997 100000\n49474 74290\n99470 100000\n7141 10724\n84280 100000\n38957 58608\n79273 100000\n26919 40556\n97478 100000\n66548 99816\n89111 100000\n85354 100000\n8550 12836\n52113 78229\n2988 4521\n51319 77025\n48812 73291\n47353 71133\n21173 31913\n67458 100000\n96583 100000\n71871 100000\n57386 86093\n93757 100000\n43836 65882\n60809 91245\n50125 75257\n48010 72108\n59856 89805\n65862 98773\n8834 13273\n56610 84923\n4548 6859\n91037 100000\n28555 42990\n52924 79447\n78015 100000\n39300 59124\n98574 100000\n42173 63414\n60180 90294\n54942 82434\n52548 78892\n81180 100000\n76217 100000\n93491 100000\n88089 100000\n68173 100000\n64935 97390\n33617 50614\n48532 72881\n84392 100000\n75290 100000\n76758 100000\n44159 66366\n18044 27186\n11826 17793\n95629 100000\n8778 13185\n24221 36505\n47323 71088\n21531 32462\n80943 100000\n74691 100000\n73424 100000\n97508 100000\n81293 100000\n30231 45551\n64049 96067\n65649 98470\n19713 29692\n5271 7920\n18691 28174\n12692 19105\n41462 62362\n60555 90853\n62410 93618\n62011 93027\n85534 100000\n20477 30835\n25589 38568\n85811 100000\n89129 100000\n13225 19920\n97706 100000\n48976 73537\n87349 100000\n35587 53517\n45215 67956\n89375 100000\n58965 88455\n29122 43853\n10290 15476\n16371 24666\n73033 100000\n78148 100000\n37582 56519\n91831 100000\n54595 81914\n98751 100000\n40438 60818\n66805 100000\n98730 100000\n35320 53130\n93993 100000\n89006 100000\n86427 100000\n8816 13246\n93597 100000\n2342 3539\n8436 12660\n12186 18334\n77869 100000\n6320 9495\n45937 69003\n62668 94000\n34896 52498\n15456 23283\n75129 100000\n44915 67498\n55052 82598\n82609 100000\n68945 100000\n11326 17048\n10644 16005\n91399 100000\n61281 91946\n42955 64572\n50364 75608\n90035 100000\n11028 16597\n39125 58861\n28158 42403\n32263 48588\n11059 16641\n25062 37777\n55276 82945\n3658 5521\n32726 49267\n39538 59480\n49779 74743\n82153 100000\n63509 95250\n59735 89613\n67506 100000\n6911 10372\n10374 15606\n31786 47869\n15786 23779\n3358 5081\n67990 100000\n80166 100000\n56570 84860\n34551 51997\n34765 52310\n36762 55292\n28172 42423\n84669 100000\n26365 39720\n66129 99188\n57554 86331\n76475 100000\n91381 100000\n74712 100000\n55049 82592\n33413 50304\n38682 58186\n92586 100000\n29073 43779\n77663 100000\n25842 38958\n5823 8747\n83252 100000\n18332 27626\n96634 100000\n23465 35362\n91 136\n11113 16728\n70246 100000\n80842 100000\n87552 100000\n87425 100000\n95671 100000\n77682 100000\n74469 100000\n18877 28440\n20143 30332\n99149 100000\n6990 10494\n19539 29430\n40838 61420\n90220 100000\n20912 31511\n82096 100000\n42329 63643\n74413 100000\n6171 9265\n92388 100000\n43411 65261\n91115 100000\n36526 54936\n54883 82339\n48133 72277\n18310 27595\n78426 100000\n75147 100000\n84453 100000\n73697 100000\n46877 70413\n13064 19676\n27908 42024\n99520 100000\n32561 49036\n13932 20981\n24261 36566\n84651 100000\n96391 100000\n59108 88675\n82919 100000\n46974 70566\n60446 90688\n44298 66571\n80483 100000\n44685 67160\n77400 100000\n84906 100000\n5670 8512\n19198 28920\n42563 63995\n40723 61247\n33487 50414\n83893 100000\n73050 100000\n90315 100000\n47412 71218\n98853 100000\n503 743\n52824 79295\n66927 100000\n94602 100000\n61806 92721\n52874 79371\n68214 100000\n44785 67314\n35261 53042\n75796 100000\n81487 100000\n16763 25243\n44030 66174\n60817 91254\n70337 100000\n99503 100000\n23844 35940\n82015 100000\n71445 100000\n99888 100000\n90661 100000\n59583 89387\n681 1018\n84336 100000\n294 426\n40888 61499\n49183 73850\n32866 49482\n22197 33460\n43921 66010\n9060 13612\n95201 100000\n16587 24980\n17061 25703\n38465 57869\n43545 65459\n67895 100000\n18768 28282\n97935 100000\n34670 52174\n76763 100000\n90095 100000\n97355 100000\n42134 63359\n1194 1783\n58450 87663\n63727 95594\n40116 60339\n47611 71519\n41724 62746\n22076 33284\n91493 100000\n27735 41765\n39635 59627\n6047 9081\n98464 100000\n22740 34259\n59882 89840\n20038 30179\n21491 32400\n59831 89768\n28920 43546\n91189 100000\n8765 13162\n44380 66700\n42572 64008\n69913 100000\n4170 6291\n5258 7903\n11365 17105\n94718 100000\n29686 44714\n12054 18129\n39713 59744\n30219 45533\n63820 95733\n90067 100000\n36668 55153\n42447 63825\n43967 66081\n93189 100000\n15552 23431\n10659 16030\n24544 36982\n55007 82531\n9358 14063\n25233 38028\n99303 100000\n82522 100000\n83079 100000\n97286 100000\n32418 48814\n12728 19158\n3054 4619\n99931 100000\n93687 100000\n47082 70737\n69387 100000\n74446 100000\n80019 100000\n62521 93774\n4290 6467\n26031 39225\n63826 95742\n19435 29271\n43514 65412\n76349 100000\n80169 100000\n41266 62068\n97663 100000\n5482 8231\n39319 59157\n6809 10222\n2873 4354\n43353 65176\n11583 17428\n51649 77532\n77555 100000\n4098 6182\n20138 30326\n31377 47257\n53726 80629\n79263 100000\n53044 79631\n93664 100000\n68447 100000\n56542 84823\n40490 60899\n5463 8203\n87634 100000\n45404 68229\n74850 100000\n28405 42767\n61296 91973\n82688 100000\n94495 100000\n66741 100000\n42960 64578\n76482 100000\n72588 100000\n18290 27563\n65603 98402\n77557 100000\n88324 100000\n61245 91891\n65319 97969\n14342 21581\n63124 94670\n63513 95255\n97630 100000\n59298 88957\n60948 91439\n59948 89939\n63574 95356\n86614 100000\n40161 60405\n78002 100000\n88764 100000\n75311 100000\n82589 100000\n79560 100000\n7348 11040\n80856 100000\n80569 100000\n83787 100000\n66202 99302\n41072 61778\n76431 100000\n10062 15137\n13417 20209\n96054 100000\n40012 60186\n4272 6437\n8586 12893\n55577 83401\n82082 100000\n37425 56283\n4792 7225\n38237 57529\n43225 64975\n95236 100000\n3178 4807\n33145 49917\n97513 100000\n499 738\n14399 21670\n46102 69252\n85147 100000\n67160 100000\n75938 100000\n1012 1512\n63676 95519\n96581 100000\n50525 75851\n39690 59712\n20323 30600\n93206 100000\n96461 100000\n55010 82535\n71998 100000\n47288 71035\n33137 49905\n60154 90254\n14854 22364\n26268 39572\n50878 76381\n24183 36448\n37511 56409\n48985 73551\n76810 100000\n67229 100000\n23445 35331\n67808 100000\n41572 62519\n34073 51294\n14989 22575\n44992 67616\n15356 23138\n8876 13335\n21603 32567\n14158 21321\n79490 100000\n647 970\n56734 85115\n82524 100000\n17927 27010\n28692 43199\n18275 27540\n83832 100000\n28080 42278\n83499 100000\n65975 98953\n46277 69522\n40514 60934\n89677 100000\n96517 100000\n96543 100000\n67418 100000\n76595 100000\n65402 98097\n72958 100000\n2106 3186\n3853 5806\n66649 99960\n50118 75246\n669 1001\n16169 24365\n16554 24933\n2562 3876\n16132 24314\n46296 69553\n60066 90117\n46205 69408\n70708 100000\n71712 100000\n66866 100000\n59124 88695\n30584 46069\n67312 100000\n68475 100000\n49513 74354\n79369 100000\n40847 61432\n52723 79144\n87422 100000\n76200 100000\n25804 38902\n97660 100000\n68633 100000\n54801 82218\n87826 100000\n54123 81201\n28532 42951\n63733 95601\n54508 81790\n13744 20692\n43296 65089\n55800 83721\n96715 100000\n19078 28733\n41971 63118\n86135 100000\n2304 3489\n38683 58187\n56469 84712\n74928 100000\n15926 24000\n43290 65078\n80831 100000\n68782 100000\n66415 99618\n10005 15050\n6888 10336\n12283 18479\n51824 77804\n58752 88128\n34976 52615\n38473 57879\n92055 100000\n5672 8515\n53953 80957\n72076 100000\n33968 51142\n14491 21815\n67285 100000\n90852 100000\n26790 40354\n36591 55043\n86090 100000\n44125 66315\n5690 8545\n32882 49510\n97431 100000\n63641 95466\n95667 100000\n87076 100000\n42830 64384\n163 237\n76486 100000\n60303 90472\n14913 22457\n6715 10079\n2677 4045\n44405 66738\n22538 33958\n65297 97938\n96249 100000\n67758 100000\n49207 73889\n91508 100000\n36791 55335\n28955 43600\n74250 100000\n23981 36145\n48881 73389\n36849 55419\n32657 49172\n51800 77764\n17691 26660\n46080 69220\n22385 33735\n96777 100000\n82068 100000\n54047 81095\n29685 44712\n44185 66403\n21148 31874\n16064 24206\n85255 100000\n94193 100000\n28520 42935\n83710 100000\n97973 100000\n27838 41915\n69962 100000\n24524 36954\n96016 100000\n50440 75722\n34837 52416\n61190 91808\n22458 33844\n77565 100000\n30405 45801\n76007 100000\n87448 100000\n68965 100000\n4682 7060\n82180 100000\n59002 88513\n70622 100000\n7526 11309\n46227 69441\n58821 88236\n30957 46615\n92237 100000\n71781 100000\n95299 100000\n61443 92186\n49467 74280\n90939 100000\n64194 96282\n72231 100000\n14249 21446\n56201 84321\n67448 100000\n25784 38873\n9985 15018\n89389 100000\n34529 51962\n96214 100000\n48462 72767\n28617 43086\n37978 57128\n6450 9689\n9817 14761\n32278 48614\n86975 100000\n15555 23436\n46150 69326\n57232 85857\n33800 50890\n49480 74300\n10971 16515\n76399 100000\n24526 36956\n93849 100000\n5305 7971\n76794 100000\n67620 100000\n48581 72948\n62810 94202\n77810 100000\n95252 100000\n60494 90761\n59664 89504\n16181 24382\n6551 9831\n99882 100000\n53246 79932\n595 887\n30001 45195\n59246 88875\n37852 56935\n45185 67908\n17839 26875\n47943 72006\n57146 85727\n82416 100000\n9480 14254\n20896 31489\n7570 11375\n23043 34724\n98013 100000\n76615 100000\n93232 100000\n40493 60904\n76221 100000\n65771 98639\n15108 22750\n22199 33463\n5323 7996\n42065 63258\n75174 100000\n21515 32435\n54557 81856\n37364 56191\n70322 100000\n27595 41556\n81495 100000\n44068 66229\n13364 20127\n94296 100000\n43865 65924\n28300 42613\n65855 98763\n85969 100000\n25214 37996\n72642 100000\n66787 100000\n66206 99306\n54929 82411\n42542 63963\n45796 68798\n30395 45789\n54638 81974\n54609 81933\n52148 78284\n25338 38184\n98256 100000\n76953 100000\n48630 73015\n63889 95832\n86543 100000\n98356 100000\n98680 100000\n6582 9877\n3018 4564\n18279 27546\n63139 94696\n91091 100000\n15310 23059\n46330 69601\n76955 100000\n75140 100000\n82676 100000\n87150 100000\n45453 68299\n63077 94600\n25900 39046\n54317 81493\n5141 7734\n6123 9194\n55346 83054\n27941 42068\n80432 100000\n31154 46916\n13135 19789\n58394 87581\n65170 97749\n46367 69656\n75936 100000\n30504 45950\n63218 94814\n77697 100000\n55731 83624\n70517 100000\n4997 7526\n68618 100000\n40864 61461\n42749 64266\n54008 81040\n39110 58837\n80272 100000\n84665 100000\n17670 26626\n62338 93513\n40197 60456\n68783 100000\n39047 58741\n84365 100000\n32501 48944\n17939 27026\n42986 64614\n26000 39180\n45257 68015\n85905 100000\n63635 95456\n34599 52065\n34249 51553\n97826 100000\n38842 58438\n6392 9597\n92590 100000\n86437 100000\n29570 44532\n60923 91402\n4422 6668\n35049 52727\n27629 41604\n24364 36721\n35164 52902\n368 536\n55253 82907\n61515 92289\n29380 44242\n45162 67876\n32723 49262\n6420 9637\n4477 6748\n4713 7105\n48767 73227\n43309 65109\n25366 38228\n68792 100000\n26316 39646\n51264 76950\n37179 55917\n14875 22400\n2010 3037\n27723 41746\n5116 7697\n14830 22326\n18336 27632\n18704 28192\n68030 100000\n35830 53889\n80981 100000\n4992 7518\n97820 100000\n30353 45727\n17149 25838\n31564 47541\n20548 30943\n91330 100000\n44511 66896\n27742 41776\n62419 93630\n68125 100000\n31918 48070\n67685 100000\n66346 99516\n26 37\n74865 100000\n36186 54420\n93675 100000\n6639 9964\n26704 40226\n25157 37913\n94366 100000\n38089 57305\n80510 100000\n13442 20245\n99904 100000\n36658 55140\n11505 17313\n54101 81170\n1304 1955\n2595 3925\n56012 84039\n63232 94835\n54587 81903\n85940 100000\n6031 9057\n27146 40882\n26951 40598\n83120 100000\n1422 2135\n93502 100000\n74879 100000\n65133 97685\n95495 100000\n78846 100000\n39737 59781\n21344 32184\n70578 100000\n28326 42649\n27385 41237\n42353 63679\n56254 84399\n32537 48997\n44372 66687\n62701 94048\n54032 81076\n56392 84601\n76586 100000\n28749 43291\n3595 5426\n87648 100000\n18620 28068\n7021 10538\n68064 100000\n52618 78992\n47284 71031\n6773 10171\n93874 100000\n16857 25383\n49746 74696\n38420 57806\n14737 22182\n43314 65117\n16115 24289\n23908 36036\n92015 100000\n70083 100000\n57709 86561\n86069 100000\n95135 100000\n48415 72701\n79519 100000\n99526 100000\n77466 100000\n27098 40810\n66424 99630\n51268 76954\n42851 64415\n44677 67145\n80657 100000\n71700 100000\n8280 12434\n45015 67650\n13825 20817\n57968 86959\n45503 68370\n2330 3523\n99716 100000\n15006 22596\n63322 94974\n77361 100000\n70140 100000\n90988 100000\n53857 80819\n40807 61376\n49192 73866\n37382 56219\n8272 12421\n40811 61382\n68454 100000\n9698 14577\n77402 100000\n44287 66556\n97330 100000\n80823 100000\n81886 100000\n87551 100000\n65131 97681\n77025 100000\n59155 88742\n80051 100000\n25503 38439\n36348 54672\n61015 91545\n51933 77958\n78435 100000\n88753 100000\n86385 100000\n69029 100000\n32280 48617\n28547 42977\n84949 100000\n2923 4426\n32177 48463\n71021 100000\n99806 100000\n9085 13649\n92349 100000\n59331 89005\n81989 100000\n25085 37812\n53201 79868\n33985 51167\n9519 14310\n26659 40160\n14654 22063\n32765 49330\n28002 42150\n54865 82312\n9856 14818\n87812 100000\n59809 89730\n67272 100000\n60369 90574\n3978 6002\n88000 100000\n18511 27899\n74344 100000\n49534 74386\n61798 92707\n74531 100000\n80336 100000\n81909 100000\n44141 66337\n52726 79147\n56337 84517\n5580 8375\n48452 72752\n46737 70207\n24550 36991\n98597 100000\n58254 87379\n9544 14349\n52193 78354\n28900 43518\n79704 100000\n43752 65753\n80620 100000\n2351 3554\n65251 97870\n60031 90063\n41446 62337\n20827 31385\n96735 100000\n13722 20659\n59767 89662\n27353 41191\n55122 82707\n44212 66443\n83062 100000\n517 764\n95098 100000\n74379 100000\n96548 100000\n31403 47295\n70092 100000\n88165 100000\n32324 48683\n81100 100000\n12044 18114\n89141 100000\n51174 76817\n88005 100000\n70949 100000\n36112 54308\n15611 23519\n49172 73836\n14259 21459\n75920 100000\n99258 100000\n51500 77299\n17231 25968\n463 684\n7002 10512\n22619 34076\n97378 100000\n4648 7009\n60628 90967\n72965 100000\n77153 100000\n3093 4675\n26821 40402\n77255 100000\n98575 100000\n21004 31655\n46600 70004\n53072 79674\n92361 100000\n10701 16096\n88921 100000\n6498 9759\n25693 38735\n26137 39385\n18938 28530\n82562 100000\n97528 100000\n93633 100000\n95868 100000\n69066 100000\n14314 21540\n29226 44011\n46760 70243\n45193 67920\n84087 100000\n37901 57011\n34704 52222\n59812 89736\n85918 100000\n94434 100000\n61091 91658\n61137 91729\n32367 48747\n93176 100000\n69202 100000\n67131 100000\n93060 100000\n18147 27337\n34189 51464\n51418 77173\n77251 100000\n52452 78741\n37445 56313\n1131 1688\n91769 100000\n84067 100000\n19862 29913\n18249 27499\n78910 100000\n47781 71768\n35901 53993\n36864 55444\n26982 40646\n55485 83262\n30366 45745\n79248 100000\n81880 100000\n57155 85742\n91146 100000\n25963 39131\n45322 68110\n33112 49868\n73535 100000\n42439 63812\n71212 100000\n66144 99213\n33959 51129\n74732 100000\n94426 100000\n47857 71880\n92924 100000\n13680 20597\n38491 57906\n99516 100000\n30809 46400\n76457 100000\n76593 100000\n53142 79781\n91143 100000\n43981 66104\n52092 78193\n12454 18734\n28902 43520\n6894 10344\n87628 100000\n93049 100000\n51083 76678\n45822 68836\n28526 42944\n90675 100000\n34415 51796\n1640 2470\n55813 83742\n79454 100000\n80688 100000\n73498 100000\n39763 59817\n72400 100000\n56942 85421\n52112 78227\n71460 100000\n51162 76798\n35988 54122\n42544 63966\n63954 95925\n85483 100000\n41258 62054\n23873 35986\n9354 14057\n86637 100000\n10875 16357\n3290 4978\n47351 71130\n69764 100000\n7718 11596\n12266 18454\n76637 100000\n90346 100000\n6732 10106\n15587 23483\n26930 40570\n44436 66781\n74984 100000\n84099 100000\n42894 64479\n78645 100000\n23191 34954\n24383 36749\n54913 82388\n46851 70374\n43126 64828\n2640 3990\n69369 100000\n54159 81259\n34467 51873\n83366 100000\n44864 67428\n73858 100000\n32071 48298\n22689 34181\n8520 12791\n29379 44240\n61861 92802\n36401 54749\n90033 100000\n15340 23111\n35867 53946\n9705 14586\n58192 87289\n42458 63841\n44196 66420\n42216 63476\n99300 100000\n73205 100000\n18658 28125\n12757 19204\n52728 79149\n44247 66494\n10461 15736\n50635 76021\n85533 100000\n65620 98428\n70127 100000\n74416 100000\n46697 70146\n10841 16303\n11101 16709\n69711 100000\n51599 77451\n92238 100000\n32707 49242\n18900 28476\n62413 93622\n95923 100000\n43116 64814\n33700 50739\n78498 100000\n89450 100000\n67880 100000\n30315 45671\n79271 100000\n26172 39434\n64377 96555\n9687 14559\n66972 100000\n83365 100000\n50323 75551\n22940 34563\n99706 100000\n13824 20815\n54124 81202\n4334 6537\n96976 100000\n26778 40334\n30108 45363\n67657 100000\n45313 68097\n39972 60123\n21732 32752\n10628 15977\n57718 86574\n6810 10223\n52078 78173\n51908 77923\n44537 66935\n95550 100000\n91797 100000\n80502 100000\n60871 91330\n66988 100000\n80425 100000\n63044 94548\n79417 100000\n70591 100000\n70498 100000\n93828 100000\n62375 93565\n89173 100000\n31569 47548\n24281 36596\n63702 95557\n70524 100000\n54496 81772\n39984 60143\n68253 100000\n37189 55932\n26165 39424\n36890 55482\n62780 94159\n95239 100000\n60848 91297\n85960 100000\n19446 29287\n13706 20637\n49492 74320\n15027 22626\n60131 90218\n11712 17626\n18143 27331\n19125 28808\n79580 100000\n58066 87104\n20354 30646\n20813 31362\n23294 35104\n47807 71805\n87806 100000\n65294 97935\n85607 100000\n43785 65806\n81052 100000\n57896 86846\n69631 100000\n73299 100000\n43999 66132\n287 413\n96930 100000\n71160 100000\n74403 100000\n63937 95901\n65336 97993\n83269 100000\n15374 23165\n80968 100000\n52347 78585\n15329 23091\n31710 47759\n15634 23555\n71973 100000\n89898 100000\n37930 57055\n36611 55075\n26985 40651\n22709 34212\n84721 100000\n95438 100000\n56312 84477\n11656 17540\n27809 41876\n66019 99016\n15603 23506\n47200 70909\n15748 23721\n95552 100000\n81097 100000\n1568 2354\n17514 26387\n23147 34886\n38252 57553\n54502 81782\n73513 100000\n11441 17219\n40484 60890\n53660 80528\n14301 21524\n5879 8837\n64109 96158\n74400 100000\n68544 100000\n97913 100000\n92784 100000\n76943 100000\n51607 77463\n68480 100000\n74696 100000\n9256 13909\n50979 76526\n83178 100000\n46720 70183\n56238 84375\n88714 100000\n46517 69881\n58617 87913\n80570 100000\n20651 31105\n39700 59726\n98320 100000\n56654 84988\n23878 35993\n67393 100000\n38555 58007\n44177 66390\n90188 100000\n44140 66336\n61428 92167\n39584 59552\n80106 100000\n36943 55561\n29096 43817\n11572 17413\n34735 52267\n92272 100000\n37398 56242\n23618 35597\n40390 60751\n51329 77038\n29696 44729\n56037 84074\n98866 100000\n88555 100000\n10705 16102\n29469 44375\n72758 100000\n70976 100000\n68359 100000\n71486 100000\n96946 100000\n49445 74245\n77299 100000\n25324 38163\n44230 66467\n58019 87032\n72470 100000\n41325 62160\n75260 100000\n78013 100000\n73732 100000\n11134 16760\n39193 58964\n78197 100000\n17071 25720\n22548 33974\n95623 100000\n20514 30893\n87237 100000\n18268 27529\n466 687\n9663 14526\n91039 100000\n37037 55710\n7393 11109\n30927 46571\n80555 100000\n81241 100000\n26814 40391\n45175 67896\n17478 26332\n69874 100000\n92771 100000\n64107 96156\n68144 100000\n80458 100000\n12198 18351\n73219 100000\n34159 51418\n418 615\n57749 86622\n45502 68369\n87883 100000\n46028 69142\n61904 92872\n73897 100000\n98473 100000\n28472 42868\n72098 100000\n32124 48377\n67916 100000\n98384 100000\n95618 100000\n71755 100000\n55652 83511\n78680 100000\n64338 96496\n33319 50171\n56486 84740\n89205 100000\n2108 3188\n6869 10312\n83947 100000\n18137 27322\n27672 41672\n65327 97979\n39929 60058\n66298 99447\n6837 10265\n60136 90225\n30437 45851\n39498 59423\n58551 87813\n36546 54968\n39955 60097\n1483 2227\n2619 3963\n53272 79968\n87987 100000\n19658 29606\n68768 100000\n64535 96794\n47234 70957\n6601 9904\n47356 71138\n51828 77808\n41666 62661\n30362 45741\n90508 100000\n44370 66683\n27926 42048\n48593 72962\n82128 100000\n80498 100000\n81481 100000\n71183 100000\n4601 6938\n44979 67598\n97668 100000\n53366 80108\n49986 75041\n47050 70688\n79978 100000\n29264 44067\n86321 100000\n36968 55599\n53166 79816\n40417 60790\n57269 85918\n76115 100000\n73057 100000\n51717 77635\n1119 1668\n22310 33627\n90093 100000\n31033 46728\n25020 37707\n3101 4690\n38451 57853\n92296 100000\n71718 100000\n78283 100000\n28736 43268\n1444 2170\n6445 9680\n81533 100000\n68799 100000\n46796 70293\n34290 51617\n95557 100000\n93444 100000\n52278 78478\n58275 87410\n43974 66093\n52492 78797\n13162 19830\n92938 100000\n68354 100000\n59764 89657\n94737 100000\n51805 77772\n74776 100000\n50837 76322\n52887 79393\n39830 59919\n24845 37458\n78409 100000\n51514 77320\n46402 69711\n505 746\n46299 69557\n88902 100000\n13413 20201\n89509 100000\n77493 100000\n93258 100000\n39408 59290\n95444 100000\n87619 100000\n98874 100000\n60018 90044\n2938 4448\n53632 80485\n90727 100000\n85251 100000\n36607 55070\n32638 49147\n14218 21404\n99909 100000\n3237 4897\n20618 31054\n56607 84919\n34135 51385\n48664 73070\n17140 25824\n35227 52996\n97172 100000\n34385 51753\n89259 100000\n68353 100000\n72775 100000\n1664 2506\n82245 100000\n63647 95473\n88037 100000\n51463 77241\n30511 45962\n85238 100000\n62083 93135\n16210 24425\n77004 100000\n79754 100000\n35810 53860\n33623 50623\n33180 49964\n41750 62786\n25614 38609\n90314 100000\n81282 100000\n26618 40099\n63966 95943\n98776 100000\n94539 100000\n33431 50330\n40663 61156\n96662 100000\n43276 65058\n31767 47842\n42820 64367\n93956 100000\n76385 100000\n13964 21026\n95943 100000\n85906 100000\n48195 72375\n52121 78242\n49020 73598\n14619 22008\n92148 100000\n35962 54085\n2884 4374\n85653 100000\n67199 100000\n36910 55511\n96999 100000\n22267 33565\n1114 1658\n8085 12148\n54691 82050\n43152 64864\n1894 2854\n26774 40330\n25195 37969\n14838 22337\n2727 4124\n1477 2220\n48655 73056\n73243 100000\n70678 100000\n11994 18037\n83615 100000\n36481 54870\n63703 95558\n14766 22226\n41361 62211\n24733 37280\n73686 100000\n5601 8410\n13967 21031\n24517 36943\n74968 100000\n52627 79004\n92434 100000\n77140 100000\n86164 100000\n15879 23930\n23117 34842\n28162 42407\n47997 72089\n69791 100000\n32565 49041\n67372 100000\n91278 100000\n64045 96062\n61773 92673\n17253 26002\n33339 50200\n92247 100000\n64830 97237\n80756 100000\n16021 24140\n21027 31687\n91985 100000\n63610 95415\n58734 88099\n1386 2082\n74909 100000\n82140 100000\n41734 62761\n88265 100000\n55506 83293\n59728 89602\n66318 99478\n58138 87210\n87904 100000\n3912 5899\n42611 64068\n48078 72206\n65201 97799\n88625 100000\n91596 100000\n67309 100000\n31194 46979\n80153 100000\n25468 38388\n8650 12988\n72989 100000\n32194 48487\n51189 76838\n67982 100000\n33356 50223\n70716 100000\n35426 53292\n86382 100000\n32654 49168\n64584 96868\n38950 58596\n55103 82677\n86617 100000\n29296 44119\n10224 15384\n99956 100000\n42140 63368\n16258 24501\n68860 100000\n14565 21926\n99650 100000\n74295 100000\n11829 17796\n16729 25195\n32086 48322\n31716 47768\n5548 8322\n51894 77903\n33914 51062\n77326 100000\n90805 100000\n31999 48191\n3206 4850\n16214 24430\n45284 68054\n9879 14849\n74544 100000\n35102 52810\n96270 100000\n26796 40364\n1020 1523\n57051 85585\n76991 100000\n3989 6017\n4678 7054\n12786 19252\n24987 37664\n74398 100000\n60183 90299\n13620 20504\n69189 100000\n26746 40290\n40296 60607\n76708 100000\n51508 77311\n75845 100000\n64997 97481\n11062 16647\n65499 98251\n7920 11901\n39289 59106\n28562 43001\n55453 83216\n97736 100000\n22707 34209\n41885 62985\n18462 27823\n90751 100000\n99902 100000\n56616 84932\n94524 100000\n63533 95290\n11853 17832\n35731 53742\n63633 95453\n47553 71433\n10773 16200\n51942 77971\n57660 86481\n67431 100000\n5272 7922\n43868 65927\n37933 57061\n30370 45751\n14594 21970\n50045 75130\n41355 62201\n92310 100000\n48740 73186\n39481 59397\n65924 98873\n59397 89108\n9826 14772\n63238 94844\n88399 100000\n65792 98666\n11482 17282\n80208 100000\n33752 50816\n11675 17569\n33249 50070\n3905 5889\n37324 56132\n23480 35384\n9412 14146\n61435 92176\n53439 80214\n89942 100000\n38983 58644\n82871 100000\n45928 68987\n57274 85925\n26429 39817\n36930 55543\n56338 84519\n99927 100000\n89125 100000\n94959 100000\n91333 100000\n56883 85333\n80107 100000\n15498 23349\n63174 94751\n87352 100000\n10623 15970\n26442 39841\n9834 14785\n70581 100000\n66227 99338\n23193 34956\n90286 100000\n1452 2183\n80077 100000\n57844 86767\n58946 88425\n91100 100000\n8823 13256\n67821 100000\n71193 100000\n86514 100000\n98457 100000\n88580 100000\n68617 100000\n68392 100000\n37604 56551\n25158 37914\n44598 67028\n89379 100000\n41196 61971\n60264 90416\n46216 69426\n77525 100000\n33301 50145\n43786 65808\n49010 73585\n13687 20608\n21943 33084\n63957 95930\n9208 13834\n72783 100000\n59595 89406\n93734 100000\n34855 52441\n75477 100000\n54912 82386\n10313 15512\n97018 100000\n50262 75462\n89747 100000\n32804 49393\n44543 66942\n63588 95380\n72706 100000\n41551 62491\n44474 66835\n91630 100000\n52819 79288\n99840 100000\n76268 100000\n82533 100000\n28551 42983\n8781 13190\n17411 26228\n13646 20545\n42100 63308\n26529 39966\n93744 100000\n97624 100000\n25726 38784\n39960 60105\n55989 84001\n47172 70868\n51587 77434\n54018 81056\n39323 59163\n58875 88318\n20718 31214\n38046 57236\n45302 68082\n86649 100000\n40583 61040\n39946 60084\n77436 100000\n60941 91429\n43091 64778\n93203 100000\n92422 100000\n56280 84432\n96989 100000\n56018 84048\n53514 80315\n65245 97859\n67386 100000\n78502 100000\n70718 100000\n35405 53260\n32547 49012\n21793 32851\n91504 100000\n36254 54525\n6901 10357\n80972 100000\n57196 85805\n70181 100000\n54480 81745\n12902 19430\n3834 5775\n18597 28034\n93619 100000\n77318 100000\n64784 97170\n95317 100000\n342 496\n65064 97581\n92889 100000\n9386 14107\n1196 1787\n69241 100000\n19050 28691\n81537 100000\n56287 84443\n8329 12508\n71006 100000\n85737 100000\n83928 100000\n49890 74905\n89053 100000\n4533 6833\n5866 8817\n63458 95174\n68600 100000\n81524 100000\n22570 34006\n63300 94942\n74651 100000\n98251 100000\n5712 8582\n8037 12074\n68614 100000\n43595 65531\n42827 64378\n1939 2926\n38640 58125\n82519 100000\n87463 100000\n61293 91967\n32933 49589\n28075 42270\n69530 100000\n87245 100000\n53428 80199\n80344 100000\n65142 97703\n4355 6567\n87110 100000\n14617 22005\n56429 84654\n70214 100000\n14162 21327\n46661 70090\n61526 92306\n86936 100000\n53081 79689\n31471 47401\n74786 100000\n12884 19404\n86465 100000\n96831 100000\n34646 52138\n32714 49251\n89746 100000\n50476 75774\n90256 100000\n4378 6601\n35469 53356\n63338 94995\n39706 59733\n64608 96902\n13496 20322\n98481 100000\n85910 100000\n37632 56594\n71301 100000\n31141 46897\n47381 71175\n838 1254\n818 1225\n67079 100000\n95810 100000\n90225 100000\n6779 10180\n23196 34960\n26126 39367\n97836 100000\n9910 14899\n55857 83806\n43416 65268\n39272 59080\n27677 41679\n77086 100000\n31294 47132\n1175 1754\n59688 89537\n39412 59297\n61676 92530\n26566 40024\n64078 96110\n84439 100000\n82481 100000\n7871 11826\n8690 13051\n54107 81178\n62679 94014\n25658 38681\n63983 95970\n72527 100000\n51834 77817\n13475 20293\n75062 100000\n70671 100000\n35479 53371\n38929 58568\n83474 100000\n12617 18984\n20598 31021\n38730 58260\n56779 85174\n14656 22065\n15528 23393\n69467 100000\n87942 100000\n75007 100000\n19726 29712\n37091 55785\n90630 100000\n36120 54319\n94022 100000\n8673 13023\n53684 80566\n49213 73899\n82722 100000\n63869 95806\n30724 46280\n90133 100000\n54135 81217\n3262 4937\n16836 25348\n88269 100000\n16553 24931\n86708 100000\n46944 70518\n82362 100000\n6974 10468\n45793 68793\n79408 100000\n78819 100000\n41707 62724\n29900 45035\n84105 100000\n47973 72054\n73174 100000\n98768 100000\n32303 48652\n54536 81827\n50906 76426\n45987 69081\n25225 38014\n16709 25167\n65949 98912\n88262 100000\n50105 75224\n47641 71557\n80628 100000\n18433 27777\n79661 100000\n51623 77490\n32261 48584\n76293 100000\n29969 45147\n52154 78291\n30645 46160\n3240 4902\n53875 80846\n45923 68979\n28071 42264\n62995 94473\n5695 8555\n8767 13165\n47271 71010\n27472 41368\n59934 89918\n65227 97837\n81534 100000\n27210 40983\n90586 100000\n36330 54643\n18550 27961\n49165 73824\n86196 100000\n33050 49775\n39889 60006\n68015 100000\n40882 61489\n39154 58906\n71258 100000\n74553 100000\n50345 75581\n81059 100000\n20834 31396\n40260 60546\n95304 100000\n91925 100000\n73514 100000\n96115 100000\n2322 3511\n46867 70400\n14508 21842\n17621 26552\n85259 100000\n16534 24908\n2391 3614\n51371 77101\n29506 44432\n61859 92800\n90468 100000\n82371 100000\n5432 8155\n24668 37171\n81086 100000\n20630 31072\n9138 13731\n85624 100000\n36693 55188\n28356 42693\n57318 85994\n6465 9709\n90584 100000\n25944 39107\n67579 100000\n96601 100000\n22161 33407\n14384 21647\n25069 37786\n18038 27175\n99657 100000\n13781 20751\n6348 9531\n52946 79482\n36790 55334\n2477 3745\n83957 100000\n40473 60875\n42607 64061\n13335 20087\n50754 76195\n51123 76737\n21039 31704\n64077 96108\n7284 10940\n13291 20020\n91544 100000\n11601 17456\n33120 49880\n44763 67282\n17145 25832\n11513 17326\n52789 79242\n52000 78060\n75042 100000\n35857 53933\n52967 79514\n33239 50056\n73564 100000\n72830 100000\n45904 68952\n47401 71204\n63768 95653\n70773 100000\n82024 100000\n65377 98057\n9323 14011\n63926 95887\n9447 14201\n97020 100000\n69338 100000\n75471 100000\n99764 100000\n46914 70467\n68053 100000\n901 1348\n25277 38092\n23832 35924\n6699 10056\n53946 80947\n78045 100000\n28741 43277\n94560 100000\n11628 17494\n29147 43890\n82538 100000\n70231 100000\n38944 58589\n12703 19121\n80603 100000\n99543 100000\n77198 100000\n2559 3871\n66581 99864\n888 1326\n7931 11917\n59756 89645\n75167 100000\n95057 100000\n29663 44675\n34372 51734\n71636 100000\n71384 100000\n28764 43314\n53040 79626\n71820 100000\n91236 100000\n26586 40053\n28341 42671\n79943 100000\n57934 86908\n94355 100000\n18390 27713\n35732 53744\n47730 71687\n95916 100000\n70876 100000\n44161 66369\n33437 50341\n98364 100000\n65822 98715\n90321 100000\n35483 53376\n28090 42294\n69047 100000\n62033 93061\n73866 100000\n48987 73555\n793 1188\n57063 85603\n89277 100000\n29697 44730\n15030 22631\n1589 2390\n44858 67419\n23955 36103\n66591 99878\n765 1148\n4496 6779\n21113 31821\n71664 100000\n40801 61368\n48679 73093\n69072 100000\n20518 30898\n89258 100000\n32897 49534\n63310 94957\n71764 100000\n83881 100000\n49536 74388\n85384 100000\n44587 67009\n80768 100000\n13110 19748\n6504 9767\n72191 100000\n97312 100000\n97520 100000\n35079 52770\n55036 82572\n65594 98387\n53274 79972\n45933 68997\n51739 77671\n20762 31282\n97005 100000\n72271 100000\n74017 100000\n25782 38870\n82840 100000\n34449 51849\n30506 45952\n85182 100000\n34065 51281\n44325 66611\n52136 78266\n45847 68871\n66114 99163\n63123 94669\n74351 100000\n21580 32534\n38903 58528\n69158 100000\n42966 64587\n16331 24609\n86690 100000\n44164 66374\n92755 100000\n56914 85379\n88816 100000\n70081 100000\n70768 100000\n73361 100000\n27485 41388\n88993 100000\n84771 100000\n42504 63907\n80286 100000\n37815 56880\n37523 56427\n27556 41498\n82924 100000\n91585 100000\n9456 14214\n88461 100000\n98362 100000\n72936 100000\n87799 100000\n70356 100000\n98285 100000\n84182 100000\n14969 22546\n51265 76951\n23610 35587\n25537 38490\n46765 70251\n35314 53121\n79884 100000\n16596 24996\n11493 17297\n96395 100000\n48550 72907\n76770 100000\n68992 100000\n95226 100000\n1199 1791\n87388 100000\n89962 100000\n61894 92856\n72774 100000\n39468 59378\n16794 25288\n12232 18402\n88398 100000\n19122 28804\n3516 5311\n50227 75408\n11970 18003\n16112 24284\n48862 73365\n15105 22746\n67390 100000\n41030 61715\n36363 54694\n38801 58373\n91254 100000\n7491 11263\n45463 68311\n35922 54028\n55155 82759\n34547 51989\n79991 100000\n36593 55046\n68269 100000\n85317 100000\n37432 56294\n13235 19934\n60301 90468\n89260 100000\n77826 100000\n5912 8887\n9962 14980\n96405 100000\n77720 100000\n93297 100000\n24764 37326\n77868 100000\n91804 100000\n14333 21568\n3813 5746\n61623 92451\n8605 12918\n98968 100000\n51099 76703\n16150 24338\n78383 100000\n91768 100000\n73876 100000\n43226 64977\n10363 15589\n81231 100000\n2385 3605\n14729 22170\n50373 75621\n98385 100000\n90589 100000\n2371 3587\n85858 100000\n12263 18450\n47737 71696\n92023 100000\n76638 100000\n20329 30607\n26385 39752\n92537 100000\n8712 13082\n78924 100000\n46275 69518\n12464 18748\n18424 27765\n38548 57997\n76392 100000\n49710 74644\n14386 21649\n16572 24959\n98319 100000\n59532 89311\n73582 100000\n34974 52611\n48000 72093\n64216 96315\n75559 100000\n30482 45917\n81048 100000\n30677 46212\n50449 75736\n9406 14137\n25311 38147\n83894 100000\n2074 3135\n11474 17270\n81083 100000\n6759 10148\n61674 92527\n46785 70276\n42313 63620\n98053 100000\n29314 44143\n61446 92191\n52861 79350\n84561 100000\n34680 52188\n8784 13194\n17175 25879\n44096 66268\n76616 100000\n84615 100000\n85921 100000\n3328 5031\n21993 33159\n14903 22441\n11681 17579\n24795 37379\n52441 78723\n80890 100000\n63717 95579\n81847 100000\n35555 53471\n36118 54316\n28636 43114\n3285 4972\n60004 90022\n75819 100000\n68932 100000\n11249 16924\n92461 100000\n98401 100000\n25640 38652\n13937 20988\n85549 100000\n80954 100000\n46599 70002\n9073 13633\n38032 57216\n82003 100000\n12514 18826\n95920 100000\n2243 3394\n89759 100000\n21621 32596\n59846 89789\n69357 100000\n18605 28046\n91841 100000\n46455 69788\n96150 100000\n26282 39596\n89286 100000\n690 1032\n81155 100000\n93721 100000\n48977 73539\n19675 29633\n11023 16589\n47017 70636\n55921 83898\n83184 100000\n75784 100000\n3055 4620\n50558 75901\n9282 13947\n92843 100000\n3576 5397\n40768 61318\n75000 100000\n73475 100000\n90274 100000\n5312 7981\n4562 6880\n35183 52933\n34766 52311\n62556 93834\n93464 100000\n513 758\n64978 97453\n40710 61228\n46806 70307\n131 192\n70379 100000\n5973 8978\n66752 100000\n94857 100000\n55448 83208\n28028 42192\n77847 100000\n41772 62820\n82266 100000\n75023 100000\n52575 78933\n70495 100000\n20493 30863\n19295 29071\n59615 89434\n17630 26567\n75396 100000\n57100 85661\n98380 100000\n59415 89133\n74259 100000\n45512 68383\n11008 16568\n57343 86031\n38440 57836\n65053 97565\n24814 37410\n67144 100000\n54967 82469\n68668 100000\n86680 100000\n25609 38602\n1981 2990\n50472 75768\n12143 18271\n86509 100000\n11525 17345\n34848 52431\n57312 85985\n78054 100000\n6560 9845\n53884 80858\n18162 27361\n814 1219\n86549 100000\n34573 52026\n24513 36939\n18444 27795\n1368 2053\n30975 46645\n69419 100000\n81315 100000\n20799 31341\n162 236\n89617 100000\n509 752\n4235 6386\n8361 12550\n26655 40154\n75356 100000\n84901 100000\n52243 78425\n53389 80139\n23067 34762\n65282 97914\n55 79\n78969 100000\n2857 4329\n4665 7034\n41869 62965\n45101 67784\n90288 100000\n57779 86671\n7108 10672\n58816 88230\n87404 100000\n24150 36398\n1527 2291\n22225 33502\n58316 87470\n33385 50263\n7846 11788\n90994 100000\n92008 100000\n42370 63705\n41559 62503\n54813 82235\n71493 100000\n94019 100000\n69337 100000\n28921 43548\n21575 32528\n75612 100000\n56130 84213\n12148 18280\n95003 100000\n49943 74981\n23796 35872\n52906 79423\n64307 96448\n50980 76527\n77760 100000\n59685 89534\n84039 100000\n89059 100000\n49431 74225\n84294 100000\n78217 100000\n30706 46254\n34437 51830\n49989 75044\n29732 44785\n60182 90298\n9619 14460\n68885 100000\n86207 100000\n4535 6837\n70106 100000\n83568 100000\n99835 100000\n37247 56020\n37878 56977\n18176 27384\n43839 65886\n49329 74074\n21109 31814\n29903 45041\n87309 100000\n11748 17674\n94239 100000\n19683 29644\n25554 38516\n26625 40108\n62594 93885\n69380 100000\n19606 29531\n16736 25204\n89597 100000\n47698 71642\n21783 32835\n34224 51513\n99828 100000\n82100 100000\n83827 100000\n77225 100000\n12740 19178\n97723 100000\n73045 100000\n51958 77998\n15990 24092\n94554 100000\n33147 49919\n41393 62260\n66288 99434\n47632 71545\n21975 33135\n64260 96379\n93662 100000\n49792 74763\n97841 100000\n7396 11114\n49030 73615\n29382 44246\n58549 87810\n26212 39489\n70955 100000\n21062 31740\n67404 100000\n99946 100000\n63141 94698\n29745 44809\n71043 100000\n25958 39125\n85833 100000\n43993 66122\n1039 1552\n33582 50558\n45394 68216\n6541 9819\n32480 48910\n43674 65644\n68031 100000\n22727 34240\n11074 16668\n39747 59795\n97131 100000\n99695 100000\n85815 100000\n82056 100000\n71792 100000\n6236 9365\n13164 19832\n94768 100000\n60274 90429\n72201 100000\n96688 100000\n74855 100000\n4445 6701\n5511 8273\n83978 100000\n91270 100000\n29328 44167\n18970 28575\n24518 36944\n33619 50617\n49450 74253\n29432 44319\n69868 100000\n55995 84010\n49307 74038\n38187 57454\n27958 42091\n21117 31826\n80172 100000\n91889 100000\n73064 100000\n55224 82863\n42015 63181\n43787 65810\n43556 65476\n2747 4156\n97370 100000\n31687 47721\n55250 82902\n30438 45852\n11464 17256\n43942 66044\n37584 56523\n29020 43702\n46815 70320\n13339 20093\n66321 99481\n92394 100000\n5631 8454\n60433 90668\n87959 100000\n39116 58848\n89708 100000\n24265 36571\n17305 26077\n35211 52973\n79266 100000\n36405 54756\n35541 53453\n36260 54535\n47292 71041\n67771 100000\n227 325\n69965 100000\n50471 75767\n51065 76653\n51324 77030\n73448 100000\n92959 100000\n61619 92444\n94618 100000\n28854 43448\n52929 79454\n25292 38115\n98107 100000\n32032 48236\n92365 100000\n96009 100000\n88739 100000\n5557 8338\n42245 63518\n94322 100000\n85026 100000\n73883 100000\n4925 7426\n96512 100000\n92658 100000\n99509 100000\n27377 41225\n76239 100000\n47309 71069\n27945 42074\n71999 100000\n29081 43791\n2578 3901\n96046 100000\n45121 67815\n62192 93300\n72612 100000\n85774 100000\n60453 90699\n17399 26209\n59156 88743\n59786 89692\n1073 1604\n46052 69177\n81581 100000\n4144 6253\n89013 100000\n14960 22531\n43623 65575\n64034 96048\n22869 34456\n91061 100000\n83727 100000\n37370 56202\n90443 100000\n93567 100000\n63836 95757\n98904 100000\n9927 14926\n81372 100000\n90032 100000\n97885 100000\n5833 8764\n73586 100000\n93486 100000\n34244 51544\n13752 20706\n53589 80422\n98807 100000\n16673 25114\n109 161\n55214 82848\n34605 52075\n13560 20417\n41440 62330\n75133 100000\n63308 94954\n41664 62659\n8866 13317\n55996 84012\n65157 97728\n9180 13794\n31700 47743\n49320 74061\n93699 100000\n70972 100000\n36613 55077\n66523 99780\n94611 100000\n45849 68873\n12194 18345\n8400 12608\n67214 100000\n45743 68717\n84716 100000\n65933 98889\n97989 100000\n25207 37987\n52252 78439\n68396 100000\n64343 96504\n41137 61880\n47919 71970\n81469 100000\n26926 40565\n42677 64164\n63356 95023\n97336 100000\n28734 43266\n36044 54203\n74301 100000\n74362 100000\n79047 100000\n39369 59234\n69260 100000\n26754 40302\n55171 82782\n29076 43783\n58565 87833\n55375 83100\n24577 37033\n89214 100000\n12873 19384\n31396 47284\n7283 10938\n98434 100000\n15938 24017\n1909 2879\n89513 100000\n50732 76161\n82780 100000\n53317 80038\n6443 9677\n272 390\n57728 86588\n66484 99719\n28364 42706\n67200 100000\n33153 49926\n3936 5938\n84348 100000\n79573 100000\n85403 100000\n90152 100000\n14886 22415\n2785 4221\n70759 100000\n99253 100000\n44736 67238\n86964 100000\n26931 40572\n57169 85762\n16758 25235\n92916 100000\n71176 100000\n71710 100000\n9675 14541\n67800 100000\n17656 26604\n26572 40032\n18123 27303\n73723 100000\n56475 84723\n4495 6777\n44842 67396\n80247 100000\n8802 13224\n42862 64433\n84472 100000\n25286 38105\n57941 86919\n17649 26594\n91084 100000\n99602 100000\n93131 100000\n53919 80908\n35457 53339\n87583 100000\n51540 77364\n78434 100000\n39873 59982\n1826 2756\n41422 62304\n93519 100000\n50842 76330\n41941 63072\n32030 48233\n17557 26451\n40217 60485\n6584 9880\n51868 77866\n95936 100000\n19596 29513\n27371 41218\n94608 100000\n43210 64954\n39317 59153\n5040 7586\n49440 74239\n19425 29256\n97887 100000\n32221 48529\n88167 100000\n43150 64862\n9615 14456\n46454 69787\n28224 42498\n98420 100000\n25472 38393\n23833 35925\n68148 100000\n49270 73983\n23192 34955\n49321 74063\n83508 100000\n76967 100000\n39095 58811\n77951 100000\n43840 65887\n67351 100000\n70839 100000\n50892 76402\n98742 100000\n63603 95405\n75215 100000\n85809 100000\n99885 100000\n22909 34516\n6075 9121\n55198 82822\n5492 8245\n69426 100000\n33936 51095\n41058 61755\n30838 46439\n79216 100000\n70321 100000\n27289 41099\n14437 21729\n31854 47974\n42255 63533\n82645 100000\n78639 100000\n6558 9842\n38425 57813\n64478 96706\n3955 5970\n69320 100000\n40020 60198\n31965 48139\n72513 100000\n64170 96248\n60008 90027\n20575 30985\n11707 17619\n47855 71877\n24656 37153\n13370 20136\n65014 97511\n32916 49563\n97938 100000\n91605 100000\n24663 37163\n99762 100000\n10296 15486\n39107 58832\n63295 94934\n88952 100000\n28157 42401\n87840 100000\n74817 100000\n49813 74791\n67852 100000\n21589 32544\n68468 100000\n9523 14315\n55826 83761\n27976 42115\n97945 100000\n15090 22723\n10094 15184\n51629 77500\n28466 42860\n82573 100000\n11178 16818\n59423 89146\n92166 100000\n4667 7037\n58104 87162\n24889 37525\n54503 81783\n74355 100000\n91927 100000\n72876 100000\n97248 100000\n30769 46345\n99565 100000\n89618 100000\n9838 14789\n62614 93913\n40112 60334\n51082 76677\n44715 67208\n50988 76539\n81303 100000\n68089 100000\n68847 100000\n35947 54063\n82222 100000\n25651 38670\n68164 100000\n38165 57424\n99600 100000\n38810 58386\n43842 65889\n2874 4356\n26555 40008\n1466 2207\n62529 93787\n3006 4549\n48090 72223\n2674 4041\n14489 21813\n5545 8319\n91631 100000\n97098 100000\n10690 16079\n43743 65739\n85619 100000\n23923 36056\n85406 100000\n71070 100000\n52514 78831\n95614 100000\n17848 26887\n95033 100000\n9572 14391\n65672 98502\n22642 34109\n37545 56463\n56913 85377\n16460 24792\n83026 100000\n77335 100000\n96719 100000\n96049 100000\n21228 31995\n59539 89322\n12883 19402\n25034 37730\n58464 87684\n77617 100000\n60737 91138\n65524 98289\n62714 94063\n41703 62718\n57714 86569\n77300 100000\n44975 67591\n36124 54326\n13219 19911\n52828 79301\n18371 27686\n31111 46847\n2460 3717\n76827 100000\n6750 10133\n18353 27659\n63140 94697\n47636 71550\n22317 33638\n84357 100000\n22801 34350\n99276 100000\n53703 80596\n77488 100000\n7710 11582\n66475 99706\n66517 99770\n10948 16476\n81203 100000\n80715 100000\n33773 50848\n58480 87708\n87054 100000\n46000 69101\n58923 88388\n39768 59825\n16573 24961\n92467 100000\n86390 100000\n38569 58027\n95730 100000\n96703 100000\n26218 39498\n45251 68004\n71224 100000\n8401 12610\n35410 53267\n40997 61663\n91903 100000\n78448 100000\n50539 75872\n84847 100000\n47011 70625\n47158 70849\n16398 24703\n38984 58645\n69784 100000\n54186 81299\n59471 89219\n73140 100000\n91783 100000\n83333 100000\n55350 83061\n56144 84234\n97358 100000\n73699 100000\n86064 100000\n39501 59427\n2725 4120\n7883 11846\n26147 39400\n24043 36243\n46801 70299\n96491 100000\n81344 100000\n11011 16571\n7602 11421\n76688 100000\n26416 39800\n76223 100000\n27116 40840\n29368 44227\n15035 22640\n43638 65596\n11148 16778\n72189 100000\n48591 72959\n31911 48060\n19212 28939\n2886 4378\n55658 83521\n34407 51784\n35381 53222\n18215 27448\n54846 82282\n43389 65231\n79424 100000\n13056 19663\n37406 56255\n18847 28400\n51193 76843\n48928 73461\n909 1359\n12882 19400\n67560 100000\n1642 2473\n66807 100000\n57298 85965\n29875 45001\n57101 85662\n87409 100000\n9852 14811\n90320 100000\n66880 100000\n40576 61031\n51239 76911\n79965 100000\n19144 28839\n48244 72448\n34956 52584\n22257 33551\n89529 100000\n81958 100000\n90191 100000\n40128 60357\n24105 36333\n46512 69875\n93429 100000\n14187 21359\n83613 100000\n65219 97825\n23843 35939\n32675 49196\n68111 100000\n53537 80350\n20217 30445\n3070 4644\n74489 100000\n29528 44468\n29495 44415\n24418 36801\n99035 100000\n99624 100000\n95279 100000\n85786 100000\n25715 38769\n67443 100000\n58080 87122\n50809 76278\n96617 100000\n91396 100000\n86012 100000\n44411 66745\n90258 100000\n45303 68083\n50863 76358\n94817 100000\n55893 83858\n29544 44492\n15945 24028\n1125 1678\n76624 100000\n23604 35579\n1138 1699\n42104 63313\n77200 100000\n49191 73864\n87771 100000\n77846 100000\n13593 20465\n53892 80871\n19210 28935\n32118 48369\n14465 21775\n65164 97740\n25573 38543\n2688 4062\n92256 100000\n90328 100000\n37990 57146\n41452 62346\n97586 100000\n75220 100000\n43048 64712\n84680 100000\n14194 21370\n52194 78356\n10820 16274\n92332 100000\n73477 100000\n56386 84592\n5118 7699\n40935 61564\n76839 100000\n10732 16142\n30693 46235\n43529 65435\n36232 54489\n99700 100000\n56565 84852\n49014 73590\n30911 46546\n25753 38826\n59976 89979\n54928 82409\n73409 100000\n14724 22164\n8486 12745\n75180 100000\n38501 57922\n79908 100000\n90512 100000\n18898 28472\n83600 100000\n40791 61352\n41041 61731\n92778 100000\n38024 57203\n24851 37464\n75187 100000\n73805 100000\n52748 79181\n71141 100000\n86555 100000\n83116 100000\n61178 91789\n93838 100000\n89472 100000\n60735 91135\n90540 100000\n87858 100000\n58535 87789\n28534 42955\n69901 100000\n80891 100000\n36642 55118\n80800 100000\n47421 71232\n52770 79215\n21282 32083\n38442 57840\n31804 47898\n69574 100000\n23709 35736\n98344 100000\n940 1404\n5746 8631\n62602 93896\n24401 36776\n70824 100000\n42835 64389\n31751 47816\n41032 61718\n72655 100000\n49316 74054\n83871 100000\n93285 100000\n58393 87580\n6353 9538\n50894 76406\n93647 100000\n2366 3579\n23824 35910\n88828 100000\n90822 100000\n8629 12955\n37128 55841\n61452 92198\n8409 12623\n12162 18301\n16910 25466\n90916 100000\n61086 91648\n44493 66865\n42410 63767\n43062 64734\n77015 100000\n99215 100000\n13513 20346\n72525 100000\n28169 42418\n12451 18728\n94344 100000\n75078 100000\n6880 10327\n6561 9846\n69532 100000\n57801 86706\n13130 19779\n5558 8340\n65911 98850\n73960 100000\n90887 100000\n93593 100000\n66456 99680\n30863 46474\n40506 60923\n61384 92098\n20565 30969\n31018 46707\n71435 100000\n27206 40978\n11321 17040\n37776 56817\n54407 81630\n48505 72840\n76473 100000\n421 620\n67433 100000\n14986 22570\n36647 55124\n24387 36754\n85640 100000\n42037 63213\n85312 100000\n74157 100000\n94590 100000\n68198 100000\n25315 38152\n530 783\n86368 100000\n70908 100000\n84125 100000\n53552 80370\n87210 100000\n68208 100000\n50798 76262\n93778 100000\n18555 27971\n59893 89858\n36188 54422\n60119 90199\n99113 100000\n57016 85535\n92712 100000\n25680 38715\n43010 64652\n48760 73216\n1398 2100\n76198 100000\n7462 11219\n65350 98015\n3542 5348\n27274 41078\n98741 100000\n41434 62322\n41601 62562\n31527 47484\n39449 59346\n51696 77603\n26855 40456\n16532 24906\n30884 46506\n22804 34354\n33018 49730\n12758 19206\n378 551\n61888 92845\n27692 41701\n8971 13480\n76772 100000\n69816 100000\n83204 100000\n18919 28502\n6873 10317\n22711 34215\n44249 66497\n65372 98049\n11771 17711\n92033 100000\n69054 100000\n43693 65671\n36443 54814\n12392 18639\n26839 40431\n11400 17157\n62933 94380\n88568 100000\n23040 34720\n80549 100000\n9135 13726\n80255 100000\n2708 4092\n82134 100000\n41806 62869\n6055 9093\n81428 100000\n88303 100000\n52848 79333\n26436 39830\n22365 33705\n47326 71094\n50236 75420\n55090 82655\n50563 75908\n71056 100000\n70664 100000\n77874 100000\n63312 94959\n73554 100000\n53258 79947\n54475 81739\n17689 26656\n29290 44109\n5674 8517\n73266 100000\n28644 43124\n84051 100000\n23171 34924\n52018 78087\n71559 100000\n36614 55079\n62987 94459\n22633 34095\n70715 100000\n46623 70035\n34383 51751\n95096 100000\n85524 100000\n94589 100000\n62574 93861\n25616 38613\n6603 9907\n96696 100000\n42941 64552\n99892 100000\n65575 98358\n94535 100000\n27223 41004\n60556 90855\n81511 100000\n89834 100000\n59919 89899\n31170 46943\n28959 43606\n66481 99714\n61680 92537\n32040 48249\n12805 19284\n19686 29649\n94536 100000\n93654 100000\n43406 65255\n26896 40519\n34743 52281\n68682 100000\n63079 94603\n39042 58734\n86171 100000\n90603 100000\n75828 100000\n3261 4936\n79419 100000\n20710 31200\n19029 28664\n72430 100000\n59336 89012\n41639 62622\n97422 100000\n43070 64747\n26988 40654\n42375 63712\n98528 100000\n15120 22767\n65801 98682\n72670 100000\n44989 67611\n75547 100000\n81884 100000\n1852 2796\n9573 14393\n39899 60020\n73882 100000\n6490 9744\n55823 83757\n51524 77337\n3754 5667\n62050 93084\n97787 100000\n24017 36205\n15664 23602\n60939 91427\n93813 100000\n25584 38560\n45626 68549\n17520 26394\n24066 36273\n65859 98768\n66210 99311\n74566 100000\n63219 94815\n65315 97964\n40194 60452\n73280 100000\n80142 100000\n6973 10467\n2319 3507\n74965 100000\n4516 6808\n4795 7231\n69018 100000\n36365 54697\n72722 100000\n49858 74858\n63950 95919\n49769 74729\n40134 60365\n88762 100000\n88478 100000\n85916 100000\n91200 100000\n85456 100000\n97183 100000\n61081 91641\n88521 100000\n37924 57044\n77132 100000\n36626 55095\n34667 52170\n23236 35018\n38972 58627\n61980 92979\n84972 100000\n84812 100000\n94741 100000\n45542 68423\n35912 54011\n31298 47138\n48173 72337\n9903 14888\n79820 100000\n79043 100000\n56354 84540\n82393 100000\n93915 100000\n65088 97619\n21053 31727\n25476 38399\n22437 33811\n10314 15513\n38753 58297\n42044 63223\n57436 86168\n55685 83557\n49034 73621\n30386 45776\n32850 49460\n50594 75955\n78834 100000\n29560 44517\n22353 33689\n50000 75062\n80631 100000\n14936 22493\n35641 53600\n40456 60847\n60927 91408\n48193 72371\n62914 94352\n75919 100000\n21343 32182\n67999 100000\n42641 64114\n4016 6058\n41829 62904\n45119 67811\n7510 11287\n26050 39253\n38022 57201\n26912 40545\n69862 100000\n18199 27424\n3205 4849\n41877 62976\n82860 100000\n68045 100000\n97855 100000\n15970 24062\n26500 39928\n83171 100000\n35751 53771\n74921 100000\n76985 100000\n75248 100000\n94216 100000\n69401 100000\n3712 5602\n86297 100000\n10733 16143\n32198 48494\n25752 38824\n589 878\n27657 41649\n83584 100000\n1730 2606\n65677 98508\n34329 51675\n29999 45191\n73966 100000\n58868 88308\n96038 100000\n52135 78264\n60720 91108\n57239 85868\n39860 59965\n10635 15989\n20778 31308\n57141 85721\n469 690\n34238 51532\n99945 100000\n94603 100000\n62718 94069\n8868 13320\n66147 99218\n97192 100000\n24475 36884\n45233 67980\n83175 100000\n11230 16895\n34832 52410\n72480 100000\n7856 11803\n32548 49014\n7168 10770\n64181 96263\n20600 31025\n70699 100000\n50576 75926\n17001 25609\n9972 14996\n46115 69271\n86954 100000\n94663 100000\n60511 90787\n36158 54377\n46157 69337\n26977 40638\n18618 28064\n92909 100000\n63470 95193\n49324 74067\n29845 44958\n26681 40193\n95988 100000\n35799 53842\n73606 100000\n95608 100000\n97876 100000\n95040 100000\n43694 65673\n55394 83126\n90102 100000\n83337 100000\n6437 9666\n97776 100000\n84275 100000\n75043 100000\n40697 61207\n90746 100000\n84145 100000\n20034 30175\n37012 55667\n6493 9750\n59416 89135\n82473 100000\n53883 80856\n7855 11801\n59162 88750\n97077 100000\n75561 100000\n50284 75494\n40395 60757\n75943 100000\n28830 43412\n99961 100000\n95885 100000\n88208 100000\n6010 9028\n77109 100000\n53347 80081\n36935 55549\n61766 92664\n21948 33093\n78285 100000\n91046 100000\n61801 92713\n78512 100000\n76972 100000\n66965 100000\n68646 100000\n81359 100000\n30228 45545\n72169 100000\n28705 43220\n19988 30106\n70636 100000\n98325 100000\n26372 39731\n51606 77461\n86173 100000\n96919 100000\n39164 58921\n28747 43287\n82084 100000\n93996 100000\n24081 36299\n46201 69400\n76467 100000\n41282 62094\n92702 100000\n69301 100000\n31362 47233\n65458 98188\n96872 100000\n62599 93891\n68159 100000\n14423 21708\n26066 39276\n24119 36353\n70852 100000\n49749 74700\n81490 100000\n32340 48706\n59346 89027\n46381 69679\n17906 26976\n17761 26761\n84565 100000\n91761 100000\n52133 78260\n20766 31288\n74781 100000\n78842 100000\n26789 40353\n20073 30234\n50032 75110\n27589 41546\n5218 7848\n91657 100000\n82212 100000\n94350 100000\n73295 100000\n71419 100000\n34214 51499\n23828 35917\n361 525\n97987 100000\n55429 83182\n25696 38739\n99117 100000\n16100 24263\n37557 56481\n78332 100000\n89969 100000\n13488 20311\n36438 54806\n13051 19657\n73453 100000\n61787 92691\n77883 100000\n33292 50133\n36917 55522\n79858 100000\n94860 100000\n87296 100000\n48468 72777\n23886 36005\n50377 75627\n44379 66699\n75116 100000\n55584 83413\n97080 100000\n16887 25430\n39431 59323\n189 273\n24828 37433\n54045 81092\n29736 44791\n97133 100000\n3852 5805\n10671 16049\n75021 100000\n52857 79344\n54168 81273\n65788 98662\n63358 95026\n49627 74525\n67108 100000\n51311 77012\n97030 100000\n85935 100000\n87860 100000\n27670 41669\n14201 21379\n32206 48506\n50071 75171\n68169 100000\n22754 34280\n22501 33905\n45555 68443\n56391 84600\n74480 100000\n82046 100000\n96653 100000\n6700 10057\n82184 100000\n77127 100000\n12651 19039\n82602 100000\n87864 100000\n3719 5614\n33561 50526\n93477 100000\n50313 75536\n40331 60660\n3737 5638\n46336 69610\n2438 3683\n57193 85799\n99952 100000\n61023 91556\n13748 20700\n33083 49827\n1075 1606\n70698 100000\n40915 61533\n4844 7306\n8825 13258\n37266 56046\n5439 8167\n3913 5901\n53105 79724\n74688 100000\n84672 100000\n52568 78924\n94690 100000\n74256 100000\n41628 62605\n66855 100000\n15026 22625\n35388 53231\n73283 100000\n94382 100000\n97284 100000\n26972 40631\n33467 50384\n42569 64002\n37416 56270\n49241 73941\n68046 100000\n78661 100000\n78227 100000\n43393 65238\n17323 26101\n28348 42679\n31198 46986\n40846 61431\n99588 100000\n54451 81697\n44504 66883\n60370 90576\n6748 10129\n36905 55504\n75534 100000\n74402 100000\n16105 24272\n81373 100000\n61508 92279\n7276 10929\n41262 62060\n50421 75695\n7956 11954\n65860 98770\n8801 13223\n53706 80602\n64775 97156\n58337 87506\n18266 27526\n10128 15236\n15865 23910\n20306 30575\n53780 80703\n82249 100000\n86927 100000\n4876 7351\n95116 100000\n32551 49019\n46187 69380\n89465 100000\n70309 100000\n60487 90752\n87247 100000\n30242 45568\n33369 50240\n36413 54769\n69164 100000\n62570 93854\n17777 26785\n11116 16732\n61418 92152\n68306 100000\n87920 100000\n65940 98899\n82494 100000\n78451 100000\n41323 62157\n1676 2523\n86118 100000\n41243 62036\n34454 51856\n35603 53540\n3538 5342\n86197 100000\n29302 44128\n96344 100000\n76798 100000\n66986 100000\n92544 100000\n26446 39848\n29803 44888\n3915 5905\n71650 100000\n21718 32733\n38860 58467\n62156 93244\n31912 48062\n40188 60445\n77211 100000\n4693 7077\n71398 100000\n37353 56173\n37076 55764\n81330 100000\n39586 59554\n21461 32355\n76298 100000\n89174 100000\n61336 92029\n20738 31246\n13540 20384\n95650 100000\n33993 51178\n80109 100000\n6097 9152\n72003 100000\n20875 31457\n57983 86983\n43489 65372\n70863 100000\n95627 100000\n48531 72879\n66355 99530\n49399 74178\n79863 100000\n16166 24361\n62072 93115\n48946 73490\n74060 100000\n19077 28732\n17831 26863\n29480 44395\n77448 100000\n28426 42798\n37486 56375\n93602 100000\n80015 100000\n37152 55877\n99743 100000\n28408 42772\n94605 100000\n19274 29035\n8792 13207\n33325 50179\n19346 29142\n20952 31569\n40462 60858\n77344 100000\n54359 81561\n36206 54449\n58566 87834\n89477 100000\n14334 21570\n55265 82926\n84678 100000\n57850 86775\n82557 100000\n36275 54557\n52971 79519\n50832 76314\n87592 100000\n9559 14371\n39192 58963\n98086 100000\n18396 27721\n14128 21279\n50969 76510\n16785 25277\n23699 35723\n77285 100000\n32407 48800\n65123 97670\n86519 100000\n66044 99054\n93749 100000\n20674 31139\n72639 100000\n18233 27475\n70871 100000\n25446 38356\n72789 100000\n67752 100000\n40339 60672\n20652 31106\n27269 41071\n45057 67714\n5240 7881\n31524 47480\n8966 13472\n83493 100000\n5200 7823\n59310 88974\n12835 19328\n84549 100000\n73917 100000\n66279 99418\n31052 46758\n55988 84000\n14274 21480\n40621 61096\n67686 100000\n78777 100000\n86743 100000\n45612 68529\n72493 100000\n47076 70726\n91626 100000\n10496 15784\n82830 100000\n24876 37505\n45666 68605\n60851 91301\n57514 86275\n81012 100000\n85154 100000\n80222 100000\n17826 26858\n43049 64714\n6892 10342\n23766 35821\n71045 100000\n53093 79708\n47768 71747\n12345 18567\n2336 3531\n14425 21711\n50240 75427\n64355 96524\n1547 2322\n27585 41539\n83903 100000\n37487 56376\n89048 100000\n30299 45647\n29873 44999\n44792 67324\n78894 100000\n875 1307\n4941 7448\n90611 100000\n87315 100000\n33031 49750\n3777 5700\n86078 100000\n76469 100000\n77404 100000\n32430 48831\n73223 100000\n94972 100000\n58180 87271\n50393 75651\n80285 100000\n47604 71509\n2017 3047\n22960 34596\n82435 100000\n27620 41592\n9873 14840\n99131 100000\n38868 58478\n82075 100000\n81793 100000\n72194 100000\n10418 15671\n21405 32272\n32578 49060\n50398 75658\n19523 29406\n14492 21816\n45978 69070\n87453 100000\n79783 100000\n77474 100000\n13465 20280\n22572 34009\n73166 100000\n21514 32434\n13928 20974\n6526 9800\n98786 100000\n27058 40750\n95473 100000\n74924 100000\n90460 100000\n75724 100000\n71988 100000\n34150 51405\n6144 9225\n31734 47791\n18327 27618\n89660 100000\n74073 100000\n46832 70345\n46230 69446\n74145 100000\n73402 100000\n78635 100000\n73538 100000\n24118 36352\n74124 100000\n25771 38854\n33836 50943\n77135 100000\n94214 100000\n55304 82988\n99135 100000\n33403 50287\n53135 79769\n21251 32030\n48797 73271\n87357 100000\n6330 9509\n22379 33726\n25795 38890\n35908 54005\n29209 43988\n56166 84272\n67691 100000\n57797 86701\n83451 100000\n43776 65791\n65809 98696\n20072 30233\n82592 100000\n26366 39721\n61339 92033\n71808 100000\n90644 100000\n28057 42240\n1551 2328\n39702 59729\n47976 72059\n47340 71113\n81360 100000\n3569 5387\n86881 100000\n56015 84044\n34376 51740\n70990 100000\n77695 100000\n95625 100000\n82270 100000\n47752 71721\n14589 21962\n3902 5884\n68066 100000\n19671 29627\n9100 13672\n91266 100000\n35798 53841\n55908 83881\n54958 82458\n82040 100000\n33646 50657\n93079 100000\n25578 38551\n92411 100000\n1592 2394\n16424 24741\n94144 100000\n82378 100000\n39848 59945\n89496 100000\n25654 38675\n37322 56128\n17669 26625\n60719 91106\n16967 25556\n83396 100000\n29516 44449\n79175 100000\n24239 36532\n20265 30514\n87236 100000\n93293 100000\n67250 100000\n48545 72899\n15667 23606\n22600 34046\n41605 62570\n36865 55445\n72860 100000\n77039 100000\n56700 85062\n49909 74932\n57795 86698\n48125 72266\n53139 79776\n79041 100000\n758 1138\n54668 82016\n74277 100000\n71476 100000\n2099 3172\n77423 100000\n9032 13573\n64 93\n35311 53117\n68708 100000\n76046 100000\n57423 86149\n40939 61571\n48483 72805\n37363 56190\n43688 65664\n79579 100000\n19740 29733\n67020 100000\n42521 63934\n40719 61240\n73757 100000\n99342 100000\n81829 100000\n87874 100000\n33574 50547\n47950 72017\n61944 92925\n63849 95777\n64191 96276\n37225 55987\n55398 83134\n25673 38703\n65228 97838\n49761 74716\n66414 99616\n233 332\n37252 56027\n73987 100000\n32187 48477\n97934 100000\n59525 89301\n23334 35163\n27845 41925\n97651 100000\n48297 72528\n66349 99522\n85585 100000\n21578 32531\n51394 77137\n79169 100000\n43082 64764\n29456 44355\n47745 71710\n87379 100000\n58112 87174\n37850 56933\n56251 84395\n38891 58510\n10049 15119\n26878 40489\n82886 100000\n37578 56512\n14667 22081\n68120 100000\n50840 76327\n85442 100000\n26517 39949\n65373 98051\n82523 100000\n33193 49983\n22014 33190\n64590 96878\n78411 100000\n52565 78918\n44136 66329\n38994 58660\n56944 85425\n58810 88223\n56745 85128\n84749 100000\n4354 6566\n64762 97133\n39371 59237\n87211 100000\n33923 51078\n55353 83066\n25583 38559\n47929 71986\n53899 80880\n63704 95559\n4508 6796\n69171 100000\n58135 87206\n46494 69848\n3561 5377\n8956 13457\n89015 100000\n34448 51848\n37577 56510\n80025 100000\n75698 100000\n68718 100000\n28869 43470\n72353 100000\n48947 73492\n99780 100000\n36453 54830\n51547 77374\n37781 56825\n28123 42345\n19252 29002\n39840 59934\n54707 82074\n42687 64178\n44604 67036\n53149 79793\n20321 30597\n95908 100000\n53144 79784\n47204 70916\n64831 97238\n59231 88850\n61525 92305\n3950 5962\n87127 100000\n52370 78618\n71451 100000\n42357 63686\n85518 100000\n22880 34470\n56432 84658\n9895 14876\n71670 100000\n32647 49160\n4402 6637\n96580 100000\n60975 91484\n75749 100000\n99363 100000\n40554 60999\n17633 26572\n70915 100000\n45520 68395\n33273 50104\n16397 24702\n85806 100000\n87703 100000\n16476 24818\n13897 20930\n76420 100000\n22696 34193\n28735 43267\n64642 96951\n35302 53103\n55455 83218\n23113 34837\n44336 66630\n1094 1631\n42885 64467\n8359 12548\n59307 88970\n29365 44222\n9933 14936\n13599 20476\n66756 100000\n43124 64824\n91800 100000\n86007 100000\n66664 99988\n5636 8460\n86342 100000\n7812 11734\n43466 65338\n90636 100000\n32222 48530\n61109 91687\n35593 53525\n73431 100000\n85038 100000\n89170 100000\n8861 13311\n72443 100000\n88880 100000\n74052 100000\n57567 86346\n22227 33505\n36452 54828\n38110 57337\n13760 20719\n31153 46914\n95440 100000\n45439 68276\n9122 13708\n5689 8543\n80121 100000\n75961 100000\n31517 47469\n36208 54453\n19513 29392\n70024 100000\n59057 88596\n85468 100000\n44899 67478\n84538 100000\n19205 28928\n17282 26043\n10294 15483\n85351 100000\n10865 16340\n3167 4790\n19997 30118\n87266 100000\n25721 38777\n53781 80704\n13846 20849\n13403 20186\n96753 100000\n5990 9001\n52297 78507\n48135 72279\n89104 100000\n27667 41666\n39645 59643\n52528 78856\n77712 100000\n87969 100000\n62215 93335\n59443 89174\n90921 100000\n3498 5286\n33919 51072\n13508 20339\n36793 55338\n99032 100000\n67618 100000\n52265 78457\n91159 100000\n35767 53793\n10970 16513\n67882 100000\n46571 69961\n7649 11492\n1109 1650\n67146 100000\n92749 100000\n55875 83828\n75420 100000\n33352 50217\n96528 100000\n65205 97805\n95191 100000\n18981 28592\n73914 100000\n6776 10176\n76207 100000\n92853 100000\n36070 54245\n25307 38141\n39160 58914\n20156 30356\n54388 81600\n17638 26581\n42658 64138\n25575 38546\n38615 58089\n84102 100000\n23225 35003\n7769 11670\n24490 36904\n42462 63847\n35656 53619\n36386 54728\n10649 16013\n49914 74940\n52859 79346\n29012 43690\n98579 100000\n16774 25260\n32152 48423\n11332 17057\n3118 4719\n11331 17055\n86561 100000\n27275 41080\n74220 100000\n90962 100000\n264 376\n26295 39614\n16246 24483\n72701 100000\n65754 98619\n60196 90316\n80423 100000\n21051 31724\n97490 100000\n77308 100000\n46502 69859\n28599 43059\n23322 35147\n84141 100000\n32348 48717\n77269 100000\n59476 89228\n5995 9007\n25109 37843\n27001 40673\n57257 85899\n87183 100000\n29157 43908\n21849 32938\n28160 42405\n62698 94044\n20691 31168\n77170 100000\n31187 46970\n80907 100000\n50778 76229\n39760 59813\n71138 100000\n70470 100000\n61602 92417\n38231 57521\n54421 81650\n41025 61706\n9716 14604\n31724 47777\n97379 100000\n5264 7911\n69545 100000\n52592 78960\n53234 79917\n45075 67742\n5829 8758\n25136 37884\n65665 98492\n76667 100000\n63545 95311\n72613 100000\n62036 93064\n89162 100000\n93586 100000\n4357 6570\n12265 18453\n28017 42173\n93476 100000\n45402 68227\n60323 90504\n57763 86646\n38696 58206\n81548 100000\n86702 100000\n99473 100000\n9986 15019\n24704 37231\n59552 89343\n68499 100000\n37217 55976\n98146 100000\n64317 96464\n25103 37836\n82287 100000\n2766 4189\n93353 100000\n73910 100000\n90019 100000\n82442 100000\n26775 40331\n59192 88795\n94249 100000\n18994 28612\n74599 100000\n27477 41376\n84676 100000\n78260 100000\n91937 100000\n31117 46858\n14449 21749\n43402 65250\n4171 6293\n79129 100000\n86248 100000\n7918 11898\n55192 82814\n81842 100000\n35985 54117\n80754 100000\n43412 65262\n77917 100000\n61924 92897\n45658 68592\n51565 77400\n52991 79551\n11701 17610\n44467 66825\n3422 5176\n79118 100000\n94061 100000\n29293 44114\n676 1009\n3343 5057\n70518 100000\n24347 36694\n29272 44080\n78170 100000\n23532 35469\n31796 47887\n83177 100000\n45571 68462\n68558 100000\n22653 34124\n93364 100000\n29666 44681\n13998 21077\n64501 96745\n41902 63012\n47801 71797\n32848 49457\n78061 100000\n78269 100000\n94653 100000\n50462 75753\n32049 48263\n44143 66341\n53547 80362\n51034 76607\n60496 90763\n259 367\n29645 44648\n1632 2456\n22859 34440\n90176 100000\n90515 100000\n97309 100000\n19665 29616\n71322 100000\n27554 41494\n34919 52533\n95684 100000\n54766 82163\n54294 81459\n35098 52802\n50285 75496\n60692 91061\n89835 100000\n53764 80683\n39263 59066\n97670 100000\n44687 67163\n38422 57810\n49717 74655\n45782 68776\n57277 85929\n37525 56431\n75693 100000\n99115 100000\n67531 100000\n26219 39499\n97825 100000\n95707 100000\n3489 5272\n97864 100000\n60910 91387\n90178 100000\n23384 35240\n50596 75959\n2958 4473\n30636 46146\n66220 99326\n49666 74582\n35220 52986\n69867 100000\n37771 56809\n26780 40337\n26301 39624\n78 115\n34455 51857\n82634 100000\n87253 100000\n15643 23570\n30664 46191\n12220 18385\n32410 48804\n55666 83531\n61811 92727\n86053 100000\n4231 6381\n93199 100000\n94110 100000\n6529 9804\n62302 93460\n18448 27801\n76410 100000\n81742 100000\n51040 76617\n79620 100000\n40952 61588\n84931 100000\n58657 87973\n62775 94153\n88024 100000\n84654 100000\n61448 92193\n35321 53131\n52002 78062\n74991 100000\n41532 62466\n86129 100000\n88168 100000\n4393 6622\n52601 78971\n7444 11190\n20509 30885\n29793 44873\n98954 100000\n67156 100000\n20139 30327\n84923 100000\n74967 100000\n31691 47728\n77709 100000\n99157 100000\n55661 83525\n22822 34378\n97453 100000\n96207 100000\n42606 64060\n80081 100000\n49523 74370\n81259 100000\n82892 100000\n2257 3417\n24615 37093\n84699 100000\n16938 25512\n78768 100000\n76446 100000\n7318 10995\n89177 100000\n90917 100000\n15704 23663\n92338 100000\n42538 63958\n90474 100000\n61252 91901\n89448 100000\n58421 87621\n63527 95280\n80594 100000\n81035 100000\n74628 100000\n13707 20639\n79516 100000\n67091 100000\n25352 38206\n68165 100000\n98428 100000\n4343 6550\n9417 14153\n35681 53660\n8729 13111\n73800 100000\n59623 89444\n69083 100000\n6577 9870\n55799 83720\n7332 11014\n97696 100000\n41274 62081\n32332 48696\n82104 100000\n59206 88815\n26748 40293\n43087 64772\n91683 100000\n13284 20010\n36264 54540\n66377 99562\n86249 100000\n64243 96354\n70254 100000\n45399 68224\n80371 100000\n97013 100000\n92313 100000\n90799 100000\n72637 100000\n88359 100000\n21851 32941\n62060 93098\n2711 4097\n24504 36925\n40400 60763\n92630 100000\n2556 3867\n31942 48108\n99881 100000\n71668 100000\n85611 100000\n48866 73370\n90488 100000\n54094 81160\n54361 81565\n2479 3749\n56168 84275\n56932 85407\n55029 82562\n71964 100000\n59758 89648\n56161 84263\n74758 100000\n13463 20276\n63032 94527\n90021 100000\n55659 83523\n45640 68569\n57901 86854\n25637 38648\n83693 100000\n3723 5620\n7029 10551\n61387 92104\n24278 36591\n26819 40400\n8487 12747\n50652 76045\n45984 69077\n56750 85134\n79298 100000\n71921 100000\n90122 100000\n57108 85671\n67508 100000\n18200 27426\n90240 100000\n6836 10263\n47970 72049\n44922 67507\n37646 56615\n13613 20495\n87160 100000\n7426 11161\n289 417\n10409 15661\n79095 100000\n26783 40342\n59477 89229\n28126 42350\n8798 13218\n37902 57013\n78244 100000\n52535 78868\n47331 71101\n44443 66791\n7622 11450\n99444 100000\n66420 99625\n97824 100000\n52520 78842\n98413 100000\n67594 100000\n7584 11396\n46987 70586\n32602 49094\n75151 100000\n51916 77934\n59211 88822\n56399 84611\n34190 51466\n48277 72493\n76990 100000\n42937 64545\n31105 46838\n85848 100000\n61311 91992\n50202 75372\n48787 73256\n70886 100000\n77582 100000\n73484 100000\n3508 5300\n81698 100000\n35022 52684\n4428 6676\n27204 40974\n9425 14168\n9734 14633\n54533 81822\n84204 100000\n86884 100000\n14224 21412\n81004 100000\n17389 26193\n21083 31776\n5596 8402\n76738 100000\n28999 43667\n1510 2264\n56640 84967\n26393 39765\n8027 12057\n71836 100000\n5616 8431\n68545 100000\n46396 69703\n57535 86305\n2119 3207\n56318 84487\n16235 24464\n12708 19129\n6682 10034\n83019 100000\n8281 12436\n34487 51902\n10048 15118\n45422 68255\n74618 100000\n34398 51771\n86735 100000\n57048 85581\n28480 42880\n10661 16033\n84988 100000\n38288 57610\n20488 30854\n79970 100000\n29552 44505\n88332 100000\n22366 33707\n59537 89318\n76740 100000\n56052 84099\n30592 46083\n47257 70989\n45259 68018\n72549 100000\n28478 42877\n98085 100000\n94084 100000\n9309 13988\n87580 100000\n36648 55125\n46667 70100\n75245 100000\n68190 100000\n8963 13467\n97153 100000\n52703 79115\n4666 7036\n8620 12943\n10300 15491\n11056 16637\n46305 69568\n96663 100000\n84836 100000\n6968 10460\n46220 69431\n74580 100000\n82194 100000\n7547 11341\n55825 83760\n77733 100000\n79923 100000\n70432 100000\n65836 98738\n2191 3320\n66115 99164\n78989 100000\n19795 29806\n65261 97884\n43119 64818\n65502 98256\n44732 67231\n34681 52190\n64652 96967\n61492 92258\n88565 100000\n28919 43545\n10406 15656\n9621 14462\n94665 100000\n28068 42259\n95547 100000\n10656 16025\n23333 35162\n38690 58197\n50424 75699\n71237 100000\n92757 100000\n85577 100000\n89881 100000\n65434 98148\n8179 12289\n54360 81563\n91382 100000\n31218 47015\n58085 87132\n62743 94102\n53393 80145\n87701 100000\n57597 86387\n74040 100000\n17213 25941\n92868 100000\n91664 100000\n74024 100000\n31080 46799\n37741 56763\n46036 69153\n98965 100000\n30416 45818\n82274 100000\n30172 45460\n87164 100000\n40537 60972\n6862 10303\n18747 28254\n11406 17167\n63994 95986\n49948 74988\n73181 100000\n74155 100000\n45287 68059\n68293 100000\n78735 100000\n67345 100000\n39143 58889\n91033 100000\n20069 30228\n28254 42542\n5589 8390\n87740 100000\n81949 100000\n25861 38985\n72111 100000\n22002 33172\n30719 46274\n54029 81073\n46847 70370\n93239 100000\n30136 45405\n78835 100000\n6692 10045\n19221 28953\n3541 5347\n48970 73529\n96193 100000\n27492 41401\n72666 100000\n56993 85500\n29224 44008\n10861 16333\n35107 52817\n85072 100000\n75108 100000\n78172 100000\n31224 47024\n22581 34018\n76958 100000\n77293 100000\n64351 96517\n65007 97499\n15121 22768\n85526 100000\n37745 56769\n45839 68862\n90792 100000\n78876 100000\n41120 61854\n30168 45455\n65616 98422\n70023 100000\n54619 81947\n90924 100000\n65427 98138\n28521 42936\n7153 10748\n78647 100000\n95876 100000\n88491 100000\n3391 5129\n8404 12615\n7088 10639\n7433 11172\n18697 28182\n976 1459\n4885 7368\n76251 100000\n34801 52362\n15326 23086\n44538 66936\n9469 14235\n5908 8882\n23163 34911\n92559 100000\n9810 14751\n14990 22576\n22764 34297\n96561 100000\n73595 100000\n96331 100000\n50367 75612\n98923 100000\n31536 47499\n17938 27025\n868 1295\n68122 100000\n35706 53701\n79264 100000\n61786 92690\n64249 96364\n37896 57006\n22412 33777\n52053 78135\n65658 98483\n75207 100000\n4943 7450\n80636 100000\n84777 100000\n31487 47424\n75506 100000\n27010 40685\n89553 100000\n75502 100000\n49714 74650\n21663 32659\n89958 100000\n62166 93259\n52327 78552\n76516 100000\n13606 20485\n42158 63391\n59245 88873\n58625 87926\n83134 100000\n40769 61319\n92841 100000\n31539 47504\n84813 100000\n79720 100000\n34918 52532\n13351 20111\n36565 55000\n18467 27830\n12286 18484\n17200 25921\n14000 21081\n10995 16549\n78353 100000\n20260 30504\n75349 100000\n86459 100000\n20117 30297\n25809 38909\n64517 96769\n52125 78248\n25617 38615\n59115 88684\n65508 98265\n62076 93122\n9314 13997\n45650 68581\n11088 16691\n71798 100000\n28768 43318\n30365 45744\n53399 80155\n15076 22703\n26846 40440\n22809 34361\n19943 30038\n53196 79860\n49539 74393\n39033 58720\n3129 4734\n42356 63684\n41852 62939\n99918 100000\n77845 100000\n39911 60036\n70304 100000\n36649 55127\n64519 96772\n20719 31216\n25383 38256\n72968 100000\n40276 60574\n92007 100000\n81980 100000\n47438 71259\n47488 71335\n18814 28351\n49744 74693\n85745 100000\n10036 15098\n78785 100000\n18416 27752\n4715 7109\n17181 25888\n69494 100000\n21058 31735\n48617 72995\n96755 100000\n52079 78174\n92960 100000\n37785 56833\n19145 28840\n64729 97084\n7805 11723\n68624 100000\n52821 79291\n20459 30806\n71610 100000\n18661 28130\n90219 100000\n7286 10943\n26932 40573\n77403 100000\n8864 13315\n22816 34370\n65777 98648\n19952 30050\n84590 100000\n43194 64931\n5126 7711\n80775 100000\n2219 3360\n96963 100000\n64783 97169\n43102 64795\n92177 100000\n7648 11491\n41958 63100\n30122 45384\n20494 30864\n63146 94707\n30742 46310\n83258 100000\n23741 35785\n58976 88475\n31776 47855\n36924 55532\n82379 100000\n11579 17424\n8657 12997\n80516 100000\n33695 50730\n96156 100000\n71802 100000\n57464 86204\n10439 15701\n43002 64639\n15147 22811\n61933 92909\n81230 100000\n71565 100000\n11236 16904\n43926 66017\n482 710\n92554 100000\n62990 94464\n18340 27639\n24388 36756\n1804 2722\n85140 100000\n98429 100000\n76836 100000\n31203 46994\n34229 51519\n96455 100000\n49328 74073\n84317 100000\n10161 15284\n7845 11786\n61884 92839\n68592 100000\n19350 29149\n59180 88778\n36172 54399\n49428 74222\n78851 100000\n97515 100000\n93585 100000\n74315 100000\n6174 9270\n59164 88753\n45964 69047\n6944 10424\n36691 55186\n87049 100000\n28479 42878\n17915 26991\n63311 94958\n33832 50937\n97082 100000\n30618 46121\n3683 5558\n71768 100000\n12042 18110\n41672 62672\n61215 91845\n56765 85153\n3520 5315\n14265 21468\n49730 74674\n19023 28656\n92815 100000\n95177 100000\n33606 50595\n20850 31420\n46131 69298\n10505 15797\n1190 1777\n28870 43471\n47364 71149\n69914 100000\n58924 88390\n3117 4717\n13904 20940\n92929 100000\n80009 100000\n41860 62951\n45920 68973\n67981 100000\n27411 41275\n22536 33955\n44993 67617\n44807 67347\n60284 90443\n34386 51754\n52107 78217\n95018 100000\n34177 51447\n79990 100000\n87159 100000\n9012 13541\n33006 49709\n39828 59916\n60869 91327\n52402 78667\n75388 100000\n24275 36585\n83351 100000\n10637 15993\n30578 46060\n92190 100000\n56617 84934\n56310 84475\n45585 68481\n49740 74688\n90385 100000\n96368 100000\n45979 69071\n20436 30772\n58286 87426\n48788 73257\n96614 100000\n34078 51302\n97220 100000\n77692 100000\n45552 68439\n42615 64074\n68776 100000\n13553 20405\n84300 100000\n72143 100000\n37414 56267\n9548 14355\n82891 100000\n62409 93616\n88799 100000\n97838 100000\n73216 100000\n66096 99136\n76236 100000\n40524 60950\n36725 55232\n20382 30687\n77309 100000\n59825 89757\n94770 100000\n65399 98091\n81124 100000\n52988 79546\n88797 100000\n75433 100000\n32935 49592\n85545 100000\n26305 39629\n62052 93087\n75241 100000\n46214 69424\n6547 9826\n43020 64669\n5638 8464\n16194 24402\n93298 100000\n7383 11095\n12933 19478\n62376 93566\n11877 17867\n31091 46817\n9494 14273\n40616 61088\n48571 72932\n48227 72425\n21178 31922\n72004 100000\n98636 100000\n61401 92125\n24832 37441\n10986 16537\n42186 63434\n86310 100000\n9869 14835\n76067 100000\n58035 87055\n87267 100000\n96712 100000\n742 1113\n22846 34419\n25736 38801\n94625 100000\n21260 32044\n46786 70278\n59086 88641\n61079 91638\n94700 100000\n54184 81296\n99970 100000\n17167 25866\n30224 45539\n30380 45765\n42109 63321\n91838 100000\n36315 54621\n94984 100000\n70426 100000\n82801 100000\n92888 100000\n82459 100000\n84999 100000\n71273 100000\n26232 39521\n54814 82236\n79414 100000\n13647 20546\n65662 98488\n75594 100000\n59663 89502\n97921 100000\n61814 92731\n16716 25175\n63387 95070\n58890 88340\n33934 51093\n60492 90759\n93085 100000\n67746 100000\n72055 100000\n78561 100000\n20159 30362\n73574 100000\n35542 53454\n99378 100000\n28537 42960\n4107 6196\n91038 100000\n45788 68785\n10312 15511\n48447 72746\n31138 46893\n69950 100000\n9372 14083\n45919 68972\n2117 3203\n43063 64735\n80409 100000\n62638 93950\n32155 48426\n45055 67711\n31405 47299\n31783 47865\n40950 61586\n58154 87232\n5630 8452\n70531 100000\n20444 30786\n29299 44124\n22614 34068\n84736 100000\n71472 100000\n84921 100000\n43953 66062\n86503 100000\n89910 100000\n62456 93682\n25193 37965\n52318 78541\n56642 84969\n35089 52788\n32790 49369\n53462 80243\n63409 95103\n554 823\n49244 73945\n12285 18482\n89588 100000\n5700 8562\n86796 100000\n32209 48511\n30319 45677\n5881 8840\n40322 60645\n77933 100000\n25183 37950\n88626 100000\n84798 100000\n96033 100000\n85399 100000\n79562 100000\n79669 100000\n98202 100000\n10097 15189\n9960 14978\n76944 100000\n97603 100000\n37829 56902\n89879 100000\n76261 100000\n51235 76906\n15265 22988\n10311 15510\n63491 95225\n29488 44405\n81266 100000\n20943 31555\n58516 87760\n57415 86138\n97139 100000\n37739 56759\n84200 100000\n15266 22990\n40223 60492\n49163 73820\n9640 14491\n90494 100000\n5745 8630\n43238 64997\n51553 77383\n60790 91221\n16341 24623\n60098 90166\n18484 27858\n89376 100000\n81053 100000\n94476 100000\n65573 98355\n73809 100000\n45778 68770\n58045 87074\n21347 32187\n31450 47367\n42251 63525\n20153 30350\n95817 100000\n96204 100000\n69558 100000\n14051 21162\n22924 34537\n43747 65744\n76605 100000\n30233 45554\n23830 35920\n65292 97932\n96093 100000\n93029 100000\n91527 100000\n75058 100000\n25844 38961\n79597 100000\n7169 10771\n20552 30950\n85281 100000\n32282 48621\n73836 100000\n31971 48148\n23706 35731\n60292 90455\n83428 100000\n10951 16481\n32000 48192\n41853 62941\n11179 16819\n59073 88621\n24279 36593\n51656 77540\n8387 12588\n68285 100000\n86033 100000\n31874 48006\n97075 100000\n35999 54139\n78732 100000\n96496 100000\n5037 7582\n91479 100000\n78275 100000\n69614 100000\n65112 97656\n42103 63312\n26514 39946\n64209 96307\n38416 57801\n78583 100000\n32129 48383\n35723 53732\n50884 76389\n85823 100000\n22192 33451\n83908 100000\n53727 80630\n47927 71983\n94628 100000\n35588 53518\n60920 91398\n34468 51874\n2771 4197\n97803 100000\n85057 100000\n56732 85112\n94634 100000\n92328 100000\n46627 70041\n4204 6341\n94036 100000\n26613 40091\n36982 55622\n64247 96360\n18248 27497\n27810 41878\n35371 53208\n3335 5044\n74952 100000\n41718 62739\n52826 79297\n88218 100000\n54654 81996\n60654 91004\n21917 33044\n41046 61738\n62695 94040\n66308 99461\n70047 100000\n83291 100000\n28209 42475\n43496 65382\n11997 18041\n60655 91005\n3742 5647\n6285 9440\n80725 100000\n66898 100000\n4791 7224\n68719 100000\n67567 100000\n2538 3840\n41119 61853\n48961 73514\n86217 100000\n97467 100000\n25235 38031\n89923 100000\n50535 75867\n5182 7796\n71880 100000\n88274 100000\n78293 100000\n7086 10637\n96576 100000\n58385 87571\n30697 46241\n33495 50428\n16843 25359\n87965 100000\n6815 10230\n41740 62770\n46341 69618\n46413 69727\n60663 91016\n36402 54750\n16305 24567\n80951 100000\n29410 44284\n67612 100000\n65260 97882\n10273 15455\n9877 14847\n67342 100000\n18711 28203\n45440 68278\n32596 49086\n98304 100000\n59424 89147\n94277 100000\n95677 100000\n61531 92312\n74583 100000\n58766 88152\n42819 64366\n7634 11471\n35178 52924\n9505 14291\n10338 15550\n54892 82353\n51003 76563\n10942 16468\n67606 100000\n75803 100000\n43687 65662\n99188 100000\n31760 47830\n33515 50455\n42982 64610\n3840 5784\n633 949\n96137 100000\n70666 100000\n2540 3842\n31580 47563\n39751 59802\n28929 43561\n55944 83932\n59526 89303\n61346 92043\n60086 90147\n86904 100000\n87956 100000\n23949 36094\n56148 84240\n6084 9133\n9027 13565\n6840 10270\n67082 100000\n97212 100000\n64080 96114\n9347 14047\n77014 100000\n60344 90536\n65214 97817\n77122 100000\n81213 100000\n76780 100000\n98033 100000\n47377 71169\n83433 100000\n36097 54289\n69515 100000\n96700 100000\n24263 36569\n52992 79552\n69144 100000\n88078 100000\n3963 5982\n20385 30691\n85589 100000\n63980 95966\n50384 75637\n75120 100000\n55351 83063\n21633 32614\n36014 54160\n97731 100000\n67202 100000\n36296 54592\n21140 31862\n74025 100000\n56804 85210\n94139 100000\n19461 29313\n79160 100000\n8706 13072\n2253 3412\n98418 100000\n66086 99119\n99896 100000\n999 1492\n88619 100000\n10330 15536\n51564 77399\n48674 73085\n31096 46825\n88957 100000\n56528 84802\n92968 100000\n81960 100000\n29414 44290\n74032 100000\n53064 79662\n26263 39565\n35143 52869\n6753 10136\n60895 91364\n50119 75247\n36038 54194\n12314 18524\n82959 100000\n21931 33067\n9107 13683\n51989 78045\n32678 49201\n16864 25395\n23743 35788\n55532 83330\n76887 100000\n51950 77985\n85558 100000\n90749 100000\n59292 88949\n89148 100000\n86144 100000\n19253 29004\n91068 100000\n90012 100000\n67078 100000\n80394 100000\n15979 24076\n7420 11150\n91379 100000\n41216 62001\n61246 91892\n39705 59732\n47946 72010\n40662 61155\n1341 2011\n15122 22770\n60021 90048\n81874 100000\n18358 27668\n87103 100000\n35068 52753\n61511 92284\n95015 100000\n99562 100000\n94866 100000\n28415 42782\n34095 51328\n48418 72705\n99066 100000\n73184 100000\n14782 22252\n84243 100000\n8986 13500\n5231 7869\n62276 93425\n77449 100000\n8938 13426\n67971 100000\n57445 86181\n6731 10104\n62538 93803\n25734 38798\n76889 100000\n98008 100000\n4742 7153\n77531 100000\n32274 48608\n67796 100000\n52295 78503\n91993 100000\n29123 43854\n62383 93576\n1951 2946\n51370 77099\n98567 100000\n97861 100000\n22796 34343\n27113 40835\n49984 75038\n49685 74608\n42763 64285\n275 396\n62337 93511\n5777 8675\n12874 19385\n84452 100000\n15686 23638\n80263 100000\n53231 79911\n39854 59956\n78387 100000\n50112 75238\n89846 100000\n58707 88051\n49464 74275\n60894 91363\n93054 100000\n49856 74856\n75748 100000\n61571 92369\n11243 16915\n98011 100000\n29465 44369\n79745 100000\n59705 89567\n54227 81360\n18166 27368\n28867 43467\n56019 84049\n48789 73258\n29443 44336\n89228 100000\n96448 100000\n81504 100000\n81846 100000\n60750 91158\n77267 100000\n22882 34473\n41151 61902\n44664 67128\n80716 100000\n22958 34594\n60804 91238\n27220 40999\n52165 78310\n90198 100000\n56735 85116\n778 1168\n40886 61497\n52468 78765\n22783 34326\n70646 100000\n95527 100000\n51289 76985\n34382 51750\n26968 40625\n19164 28870\n18130 27312\n86381 100000\n94270 100000\n79342 100000\n48609 72983\n5012 7548\n7621 11449\n91263 100000\n92464 100000\n90668 100000\n34600 52067\n65456 98184\n46082 69223\n13756 20712\n90582 100000\n10112 15212\n16765 25246\n97184 100000\n8608 12923\n99245 100000\n89085 100000\n29423 44305\n50745 76182\n33351 50216\n11289 16988\n78888 100000\n34619 52094\n83844 100000\n10175 15305\n88444 100000\n38038 57226\n54809 82228\n18050 27194\n32093 48332\n13826 20819\n74785 100000\n79370 100000\n88290 100000\n13665 20574\n40482 60888\n97523 100000\n51446 77216\n13152 19818\n89332 100000\n87447 100000\n58238 87354\n92921 100000\n39582 59549\n95966 100000\n1152 1718\n737 1103\n341 494\n53113 79737\n80134 100000\n45044 67695\n92322 100000\n13614 20496\n86700 100000\n4159 6275\n47570 71458\n61087 91650\n27039 40725\n49380 74151\n10685 16070\n51808 77777\n78452 100000\n5599 8406\n33237 50052\n45338 68136\n26455 39862\n74375 100000\n91043 100000\n85667 100000\n45024 67665\n25212 37993\n81618 100000\n40259 60545\n7084 10634\n8584 12889\n18487 27863\n9516 14306\n20082 30246\n71816 100000\n99465 100000\n10740 16152\n81414 100000\n43176 64900\n57593 86382\n46724 70189\n89850 100000\n93909 100000\n38292 57617\n25647 38663\n66667 99992\n78572 100000\n22867 34452\n24334 36674\n15239 22950\n50954 76491\n3539 5344\n64189 96273\n94620 100000\n84567 100000\n59151 88734\n9335 14028\n35292 53088\n7787 11695\n45030 67673\n63039 94539\n1337 2004\n91541 100000\n28239 42519\n3614 5456\n84475 100000\n34356 51711\n78265 100000\n36379 54718\n43641 65600\n59366 89061\n46969 70559\n30098 45349\n93855 100000\n94351 100000\n45178 67899\n37912 57027\n38550 57999\n21897 33014\n12784 19248\n52088 78187\n33473 50394\n94549 100000\n13802 20781\n73306 100000\n64946 97404\n96855 100000\n94772 100000\n28454 42839\n94407 100000\n75275 100000\n47397 71198\n62043 93074\n5018 7554\n25097 37828\n25564 38529\n31177 46954\n66313 99470\n79069 100000\n94619 100000\n1148 1713\n93610 100000\n31790 47876\n38905 58530\n22264 33561\n55407 83147\n21036 31699\n89808 100000\n68582 100000\n35462 53346\n18154 27348\n75656 100000\n16817 25321\n28304 42619\n9361 14068\n98652 100000\n47694 71636\n27561 41505\n50281 75489\n51226 76891\n99752 100000\n50181 75344\n19524 29408\n29240 44031\n27879 41978\n81307 100000\n99943 100000\n31390 47275\n27747 41783\n46288 69540\n46608 70016\n30367 45746\n97699 100000\n72058 100000\n50412 75678\n93019 100000\n8418 12635\n94169 100000\n69441 100000\n17768 26771\n76884 100000\n52241 78423\n40518 60940\n34935 52556\n36317 54624\n37869 56963\n9194 13812\n65015 97512\n58372 87553\n74964 100000\n42939 64548\n93746 100000\n49999 75060\n59865 89818\n23071 34768\n79649 100000\n6909 10369\n78806 100000\n24186 36453\n80979 100000\n46539 69910\n41704 62720\n84052 100000\n61684 92543\n23022 34696\n35389 53233\n21220 31981\n27982 42123\n20653 31108\n84426 100000\n97678 100000\n21399 32261\n4441 6696\n4395 6626\n24593 37059\n94458 100000\n45860 68891\n37296 56093\n68322 100000\n18754 28264\n50010 75077\n56557 84843\n45698 68652\n90375 100000\n1532 2299\n33966 51139\n18707 28197\n34903 52509\n4359 6573\n79511 100000\n88189 100000\n32376 48758\n61487 92250\n98638 100000\n17878 26933\n50361 75603\n95905 100000\n8141 12233\n42706 64207\n14997 22585\n3173 4799\n44006 66142\n73067 100000\n4721 7119\n97859 100000\n42364 63697\n34344 51696\n53503 80298\n52146 78281\n6477 9728\n24717 37255\n17260 26010\n83048 100000\n72917 100000\n73651 100000\n19168 28876\n59354 89040\n43144 64853\n21755 32792\n38564 58021\n15549 23427\n13319 20062\n47403 71206\n84375 100000\n87507 100000\n60435 90670\n63413 95110\n39558 59509\n1554 2333\n83805 100000\n74736 100000\n879 1314\n68368 100000\n81471 100000\n3728 5628\n2453 3707\n25419 38311\n93311 100000\n15598 23498\n31821 47922\n23976 36136\n48059 72180\n55460 83225\n8312 12482\n73573 100000\n53496 80289\n92789 100000\n63923 95883\n99753 100000\n82445 100000\n39486 59406\n3713 5604\n14139 21296\n43470 65343\n63254 94870\n11696 17602\n41147 61895\n19430 29263\n71192 100000\n65267 97892\n66368 99550\n80257 100000\n54064 81119\n75726 100000\n17307 26080\n43819 65859\n2177 3296\n6516 9784\n489 721\n91204 100000\n78756 100000\n43896 65968\n33399 50283\n50617 75994\n10450 15720\n42463 63848\n36699 55198\n27591 41549\n25860 38983\n61232 91871\n45347 68149\n11459 17249\n11756 17687\n25964 39132\n3802 5732\n33535 50485\n53335 80064\n34654 52150\n45662 68599\n28798 43366\n89680 100000\n12745 19186\n65830 98730\n69522 100000\n3109 4703\n90734 100000\n78171 100000\n29129 43861\n16904 25456\n82103 100000\n71667 100000\n64908 97352\n89020 100000\n77738 100000\n78238 100000\n19426 29257\n52249 78434\n57428 86155\n89503 100000\n59017 88536\n15114 22759\n86350 100000\n15716 23676\n235 335\n55998 84014\n23822 35908\n13641 20535\n37241 56012\n82742 100000\n38111 57339\n27028 40712\n30281 45621\n93535 100000\n11585 17430\n19793 29803\n68720 100000\n83520 100000\n50104 75222\n65019 97518\n85512 100000\n83940 100000\n94675 100000\n53546 80361\n34505 51929\n48597 72968\n49369 74134\n24373 36733\n2871 4351\n39177 58941\n42508 63914\n34526 51958\n85642 100000\n51315 77018\n95167 100000\n15670 23612\n86477 100000\n46208 69413\n4592 6926\n5047 7596\n96469 100000\n18402 27730\n77350 100000\n76012 100000\n89653 100000\n91012 100000\n5524 8290\n45749 68726\n43851 65901\n70639 100000\n75254 100000\n33750 50813\n2395 3620\n90087 100000\n61763 92660\n85328 100000\n73935 100000\n67850 100000\n26011 39196\n20231 30465\n70816 100000\n78854 100000\n21323 32147\n97948 100000\n45324 68113\n16662 25097\n71756 100000\n58951 88435\n50660 76056\n57128 85702\n2214 3353\n78083 100000\n21428 32303\n46016 69125\n60961 91462\n90410 100000\n91614 100000\n92307 100000\n15843 23878\n13511 20342\n76600 100000\n28074 42268\n88823 100000\n64534 96793\n855 1277\n44192 66413\n49972 75019\n38864 58472\n31705 47752\n72843 100000\n14958 22528\n49059 73661\n20671 31134\n1657 2494\n16583 24973\n13004 19588\n50953 76490\n30445 45865\n73383 100000\n33108 49863\n94403 100000\n76673 100000\n97187 100000\n37211 55966\n75346 100000\n71417 100000\n11022 16587\n8433 12656\n96007 100000\n1284 1927\n3999 6033\n94176 100000\n40873 61476\n13518 20352\n36279 54564\n63815 95726\n91332 100000\n40111 60333\n24288 36605\n67248 100000\n89594 100000\n48601 72972\n37155 55881\n33505 50443\n17572 26475\n10379 15614\n20120 30300\n9474 14243\n30545 46010\n73178 100000\n51186 76834\n90853 100000\n86643 100000\n11030 16599\n44939 67534\n42541 63961\n16756 25231\n29160 43913\n91952 100000\n99060 100000\n96544 100000\n46218 69428\n98295 100000\n64975 97448\n44710 67200\n99054 100000\n36528 54939\n89313 100000\n39226 59007\n16600 25002\n240 342\n94463 100000\n19364 29168\n21901 33021\n40467 60866\n94157 100000\n92601 100000\n61325 92013\n97661 100000\n18868 28426\n8944 13438\n32031 48234\n78455 100000\n54068 81124\n24777 37347\n57678 86509\n83182 100000\n99925 100000\n2624 3970\n60363 90564\n16540 24915\n87694 100000\n84371 100000\n70422 100000\n80774 100000\n25968 39136\n31802 47896\n32073 48301\n5903 8874\n19213 28941\n94196 100000\n72322 100000\n87976 100000\n10884 16370\n25344 38193\n30559 46031\n23729 35766\n2848 4315\n23704 35729\n33681 50709\n32069 48295\n43067 64742\n72971 100000\n83458 100000\n77487 100000\n45249 68001\n98957 100000\n559 831\n47171 70867\n71799 100000\n41717 62737\n28461 42850\n90971 100000\n35820 53875\n92239 100000\n106 157\n15318 23071\n388 569\n4128 6228\n28192 42451\n18452 27808\n35367 53200\n88903 100000\n9618 14459\n68894 100000\n27560 41503\n90068 100000\n11871 17859\n69538 100000\n82661 100000\n30777 46355\n64227 96330\n61003 91527\n43300 65096\n52676 79075\n63264 94886\n19851 29895\n36827 55388\n34965 52598\n2860 4335\n11313 17027\n56068 84122\n29149 43893\n7901 11872\n26954 40603\n73540 100000\n11376 17120\n9230 13868\n34303 51636\n79446 100000\n60223 90356\n96611 100000\n11384 17131\n38140 57383\n7427 11163\n90966 100000\n19159 28862\n52538 78874\n99238 100000\n42280 63571\n60887 91352\n45267 68029\n21232 32002\n68797 100000\n43659 65625\n18237 27480\n12299 18503\n1861 2809\n98782 100000\n52943 79477\n84735 100000\n4565 6885\n90355 100000\n44200 66426\n60773 91196\n27758 41798\n53515 80317\n69595 100000\n18302 27581\n41417 62295\n93923 100000\n72861 100000\n73257 100000\n64055 96076\n46331 69602\n98731 100000\n74978 100000\n7094 10649\n33943 51106\n19516 29397\n83290 100000\n3722 5618\n8426 12644\n43960 66070\n74433 100000\n34176 51446\n41116 61847\n2360 3569\n30037 45251\n79481 100000\n23549 35497\n21668 32667\n62296 93451\n26010 39195\n53701 80593\n5021 7559\n21722 32739\n18243 27489\n76922 100000\n65504 98259\n50812 76281\n36056 54223\n24625 37108\n62783 94163\n1255 1879\n92647 100000\n22316 33636\n93449 100000\n52813 79279\n14785 22257\n8077 12137\n32283 48622\n6574 9866\n74647 100000\n19030 28665\n38710 58227\n87567 100000\n63420 95119\n10417 15670\n24718 37257\n62257 93396\n80696 100000\n45925 68982\n48732 73174\n36640 55115\n54873 82325\n7277 10931\n94356 100000\n58757 88136\n72837 100000\n80822 100000\n89932 100000\n71069 100000\n36268 54546\n53418 80182\n29055 43755\n24466 36873\n86038 100000\n90787 100000\n51716 77634\n32132 48389\n42227 63494\n52411 78680\n71433 100000\n95006 100000\n19229 28965\n82328 100000\n35906 54001\n65600 98397\n15339 23109\n89305 100000\n95559 100000\n39866 59973\n42139 63366\n47122 70795\n52300 78512\n80840 100000\n36309 54611\n37186 55928\n33522 50464\n89364 100000\n18676 28151\n44972 67586\n76941 100000\n61971 92965\n25692 38733\n60442 90683\n63419 95118\n14150 21310\n41015 61690\n74188 100000\n75179 100000\n97130 100000\n88121 100000\n35562 53482\n4985 7509\n66703 100000\n19071 28722\n26961 40614\n36972 55606\n15627 23545\n33002 49704\n70084 100000\n56594 84900\n67637 100000\n43934 66031\n29047 43744\n72121 100000\n26979 40641\n46874 70409\n97356 100000\n96127 100000\n36532 54946\n42529 63947\n28456 42843\n34772 52319\n92432 100000\n42792 64327\n89113 100000\n52376 78625\n61351 92050\n12794 19266\n84820 100000\n54891 82352\n27361 41203\n67221 100000\n77471 100000\n75793 100000\n61202 91826\n53121 79749\n90947 100000\n23069 34766\n68217 100000\n27346 41181\n3032 4587\n98424 100000\n40268 60559\n15986 24086\n78445 100000\n69897 100000\n77787 100000\n59436 89164\n37264 56044\n47653 71577\n69643 100000\n8396 12601\n46898 70444\n27980 42120\n7460 11215\n68405 100000\n25392 38272\n41883 62983\n12911 19445\n40242 60519\n66680 100000\n81168 100000\n20806 31352\n39816 59899\n91176 100000\n5813 8731\n20891 31481\n77781 100000\n98293 100000\n96682 100000\n11560 17400\n66257 99384\n4056 6121\n76906 100000\n92678 100000\n99314 100000\n50350 75588\n83647 100000\n48948 73494\n75953 100000\n27892 41999\n49446 74247\n87900 100000\n17467 26318\n74031 100000\n70731 100000\n58804 88212\n35612 53556\n24515 36941\n63153 94716\n79861 100000\n11839 17811\n15738 23707\n48745 73193\n81931 100000\n65150 97715\n56103 84175\n71835 100000\n99879 100000\n6707 10067\n33288 50126\n40797 61362\n5778 8676\n91760 100000\n41165 61923\n89663 100000\n96742 100000\n48397 72675\n29037 43727\n88547 100000\n87219 100000\n70549 100000\n7131 10708\n14172 21339\n23701 35726\n78978 100000\n4195 6328\n56412 84630\n75443 100000\n74908 100000\n66565 99840\n14433 21724\n709 1062\n34232 51523\n76351 100000\n70058 100000\n29884 45012\n55961 83958\n21224 31988\n17326 26106\n29812 44903\n880 1316\n34711 52232\n24112 36344\n36884 55473\n81804 100000\n10651 16016\n17893 26956\n91002 100000\n96352 100000\n7775 11678\n73622 100000\n73596 100000\n98387 100000\n3184 4815\n50161 75315\n83466 100000\n24127 36364\n51414 77166\n46280 69527\n54090 81156\n57877 86819\n73696 100000\n30928 46572\n12970 19535\n71829 100000\n49912 74937\n72931 100000\n79179 100000\n91922 100000\n32398 48786\n34614 52089\n69792 100000\n32716 49254\n25955 39120\n22231 33511\n45407 68235\n87938 100000\n51336 77049\n42279 63570\n88126 100000\n82570 100000\n28733 43264\n38441 57838\n75016 100000\n3724 5622\n9766 14681\n72215 100000\n59287 88940\n14651 22060\n12022 18080\n38300 57630\n29616 44606\n8633 12961\n24509 36933\n12275 18467\n33673 50697\n91215 100000\n13338 20091\n55373 83098\n65004 97493\n2078 3141\n31316 47162\n60679 91041\n82953 100000\n33520 50461\n22753 34278\n93701 100000\n73519 100000\n33947 51112\n18878 28441\n85122 100000\n28528 42946\n76804 100000\n13072 19688\n58314 87468\n45496 68361\n49056 73656\n71933 100000\n53972 80988\n72718 100000\n16760 25239\n18313 27598\n48086 72218\n24365 36722\n21383 32239\n62647 93967\n46164 69349\n58026 87043\n51705 77618\n59946 89936\n52057 78142\n38623 58100\n70814 100000\n41370 62227\n78573 100000\n57471 86214\n61198 91820\n59703 89564\n57912 86873\n30906 46538\n59427 89152\n32034 48239\n82597 100000\n36596 55051\n31733 47789\n5091 7662\n60353 90551\n56264 84413\n62646 93965\n40185 60441\n52777 79225\n86208 100000\n80167 100000\n32006 48199\n7791 11703\n46626 70040\n86931 100000\n78638 100000\n57477 86222\n82115 100000\n56002 84021\n72836 100000\n32409 48803\n16968 25557\n27035 40720\n4265 6428\n45539 68419\n47512 71374\n78702 100000\n45493 68357\n93501 100000\n37749 56775\n27382 41232\n5662 8502\n15715 23675\n70607 100000\n77457 100000\n87401 100000\n70933 100000\n66596 99886\n91700 100000\n16642 25067\n53985 81009\n94880 100000\n49690 74613\n47097 70759\n6393 9599\n70503 100000\n90774 100000\n59691 89542\n41529 62460\n34859 52447\n28513 42928\n25763 38841\n33907 51052\n94253 100000\n84432 100000\n31815 47913\n62633 93943\n12601 18959\n6267 9413\n75507 100000\n52950 79489\n28316 42637\n42760 64281\n34215 51501\n10596 15931\n9243 13888\n97707 100000\n16409 24719\n98176 100000\n1824 2753\n90609 100000\n29258 44060\n87802 100000\n63427 95131\n68005 100000\n11010 16570\n36869 55451\n91866 100000\n51342 77059\n75188 100000\n95230 100000\n69432 100000\n71857 100000\n68684 100000\n15359 23143\n45365 68174\n50948 76484\n76042 100000\n17237 25977\n86670 100000\n14694 22120\n43131 64835\n42977 64603\n95857 100000\n78259 100000\n89463 100000\n76989 100000\n24176 36438\n92071 100000\n27683 41687\n71757 100000\n50870 76370\n42936 64543\n42505 63908\n6694 10049\n71354 100000\n56846 85275\n80637 100000\n66502 99748\n39049 58744\n47696 71638\n98839 100000\n97584 100000\n2786 4223\n43976 66095\n3795 5723\n28109 42323\n63010 94493\n46781 70271\n68183 100000\n53306 80022\n58340 87510\n72317 100000\n59499 89260\n41690 62699\n23896 36020\n12370 18607\n5156 7759\n88897 100000\n74791 100000\n31518 47470\n33118 49878\n91692 100000\n34446 51844\n71275 100000\n71805 100000\n3116 4715\n60380 90590\n9343 14040\n35201 52958\n14256 21455\n87428 100000\n85345 100000\n11787 17735\n72461 100000\n11916 17925\n40608 61077\n62061 93100\n38115 57344\n5904 8875\n14639 22040\n49869 74875\n26250 39548\n13346 20103\n34463 51867\n66283 99425\n79606 100000\n33861 50984\n95306 100000\n71370 100000\n6763 10156\n27753 41792\n49319 74059\n5507 8266\n67813 100000\n41028 61711\n48250 72456\n45200 67932\n53772 80692\n57486 86232\n51455 77230\n60530 90817\n47359 71142\n35447 53324\n58455 87669\n51330 77039\n79631 100000\n96596 100000\n16622 25035\n73493 100000\n93123 100000\n16451 24779\n91547 100000\n26816 40395\n23745 35792\n64742 97105\n53885 80860\n76968 100000\n95247 100000\n28797 43365\n13609 20490\n38433 57824\n12098 18198\n36770 55304\n7287 10945\n93039 100000\n79477 100000\n66836 100000\n98518 100000\n54591 81909\n14479 21797\n21832 32911\n61719 92594\n88319 100000\n32405 48798\n34340 51691\n47777 71761\n26933 40574\n14596 21974\n29853 44970\n38508 57933\n86864 100000\n42170 63409\n92188 100000\n5378 8075\n37369 56200\n6954 10440\n90563 100000\n72797 100000\n96954 100000\n40353 60692\n14733 22176\n76171 100000\n68872 100000\n47798 71794\n47177 70875\n82253 100000\n82777 100000\n12935 19482\n3914 5903\n95806 100000\n58167 87252\n80110 100000\n45515 68387\n12656 19044\n68487 100000\n86258 100000\n75090 100000\n47186 70887\n84410 100000\n11944 17965\n65709 98555\n31136 46889\n58237 87353\n38557 58010\n71392 100000\n64048 96066\n98213 100000\n20273 30527\n80141 100000\n88233 100000\n58721 88076\n7171 10775\n63891 95835\n49468 74281\n62632 93942\n99653 100000\n92636 100000\n53469 80253\n33780 50859\n87686 100000\n25716 38770\n47111 70781\n49838 74827\n57183 85784\n34347 51700\n50779 76231\n71975 100000\n28064 42253\n38405 57784\n14020 21115\n8689 13049\n50405 75667\n82023 100000\n93005 100000\n50196 75365\n77268 100000\n8091 12154\n54789 82197\n48399 72678\n93059 100000\n94503 100000\n1107 1648\n70799 100000\n31544 47510\n18505 27890\n96022 100000\n82842 100000\n71243 100000\n60362 90563\n54237 81374\n31452 47370\n80132 100000\n36439 54808\n82216 100000\n85853 100000\n66085 99118\n49781 74746\n59704 89565\n16354 24642\n79865 100000\n47249 70978\n42321 63631\n8913 13389\n25662 38688\n82786 100000\n39148 58896\n63697 95548\n43699 65679\n83895 100000\n81786 100000\n81918 100000\n15110 22753\n20716 31212\n43539 65450\n12913 19447\n68908 100000\n46027 69140\n85141 100000\n95452 100000\n66490 99729\n22369 33713\n83753 100000\n79552 100000\n55947 83936\n49506 74342\n59769 89665\n65837 98739\n20854 31427\n34096 51329\n8723 13100\n90970 100000\n51965 78007\n73426 100000\n59281 88930\n84682 100000\n82244 100000\n38629 58109\n49540 74394\n40096 60311\n71908 100000\n80897 100000\n23447 35333\n88172 100000\n8523 12794\n37307 56107\n82117 100000\n86751 100000\n63057 94570\n69270 100000\n17818 26847\n89929 100000\n12154 18290\n79176 100000\n78805 100000\n70488 100000\n19691 29656\n53816 80761\n38514 57942\n85000 100000\n86842 100000\n91529 100000\n81102 100000\n87598 100000\n4066 6134\n70182 100000\n11614 17474\n77433 100000\n9804 14739\n69738 100000\n81926 100000\n32404 48796\n33077 49816\n70087 100000\n67605 100000\n37195 55942\n63730 95597\n58164 87246\n46411 69725\n39380 59252\n17194 25910\n4655 7019\n45310 68093\n50357 75598\n11340 17067\n47618 71528\n92273 100000\n30263 45599\n58770 88159\n98315 100000\n48063 72185\n6166 9256\n21629 32608\n27267 41068\n44099 66273\n57419 86143\n73109 100000\n59029 88556\n93985 100000\n61168 91776\n6362 9553\n39841 59935\n54867 82316\n11671 17562\n44812 67353\n85587 100000\n3604 5439\n79520 100000\n47985 72072\n99628 100000\n85225 100000\n60707 91087\n54437 81673\n53746 80658\n11693 17598\n83864 100000\n11247 16921\n21839 32923\n35448 53326\n28941 43579\n4554 6869\n99133 100000\n54115 81189\n7840 11778\n79011 100000\n16810 25312\n14847 22351\n70522 100000\n84827 100000\n94124 100000\n87424 100000\n40481 60887\n19294 29069\n72207 100000\n85385 100000\n15470 23305\n18236 27479\n12158 18296\n57175 85773\n40300 60612\n4587 6919\n95744 100000\n71078 100000\n4978 7499\n68933 100000\n74121 100000\n77748 100000\n85220 100000\n83852 100000\n77452 100000\n45005 67636\n22364 33703\n22219 33492\n37270 56051\n92449 100000\n11109 16722\n45460 68306\n95838 100000\n62305 93465\n76364 100000\n67899 100000\n92145 100000\n84499 100000\n70121 100000\n2618 3962\n57236 85864\n29166 43922\n83152 100000\n33276 50109\n30455 45878\n45841 68864\n5093 7664\n47286 71033\n60757 91171\n75700 100000\n61767 92665\n89200 100000\n54309 81480\n15022 22620\n16182 24384\n70440 100000\n4491 6771\n87868 100000\n22438 33812\n8508 12775\n20187 30400\n53218 79890\n77834 100000\n65497 98249\n53492 80283\n76608 100000\n20724 31224\n20624 31064\n9996 15036\n64842 97254\n53528 80336\n47220 70936\n54145 81234\n59201 88810\n44086 66254\n66131 99191\n81816 100000\n38863 58471\n10467 15744\n26731 40268\n18852 28406\n17904 26972\n11327 17049\n17652 26598\n99972 100000\n22729 34243\n9558 14370\n70638 100000\n6548 9827\n52142 78276\n52682 79083\n72044 100000\n90439 100000\n32627 49130\n86986 100000\n97115 100000\n52757 79195\n58304 87454\n46420 69738\n96658 100000\n95781 100000\n13271 19990\n16886 25428\n8964 13469\n13666 20576\n78710 100000\n19316 29101\n4481 6755\n8684 13041\n56273 84423\n17289 26052\n621 930\n25305 38137\n31388 47272\n32682 49207\n39329 59172\n22858 34438\n33420 50315\n15107 22749\n52933 79459\n12350 18576\n62427 93642\n64641 96949\n30914 46551\n63643 95468\n66702 100000\n67040 100000\n14292 21509\n41369 62225\n38989 58651\n33014 49723\n36104 54297\n34769 52316\n39934 60065\n11298 17002\n86474 100000\n40666 61160\n78280 100000\n11203 16857\n55272 82939\n39385 59259\n88996 100000\n77840 100000\n78404 100000\n93474 100000\n99728 100000\n98555 100000\n8694 13055\n14585 21957\n11169 16805\n93041 100000\n52280 78480\n76450 100000\n34708 52227\n28844 43435\n80003 100000\n68385 100000\n54842 82276\n94393 100000\n38201 57477\n71811 100000\n52544 78885\n91856 100000\n51814 77788\n77137 100000\n65097 97630\n33340 50202\n64880 97310\n51617 77479\n47143 70825\n67269 100000\n81531 100000\n38731 58262\n24695 37218\n73392 100000\n85791 100000\n50749 76189\n32746 49298\n79737 100000\n59738 89618\n1918 2893\n47710 71659\n54243 81382\n41332 62171\n38597 58064\n48298 72529\n70176 100000\n8851 13299\n85245 100000\n42041 63218\n23273 35074\n92602 100000\n17936 27023\n31713 47762\n19058 28703\n77352 100000\n37548 56468\n68734 100000\n61474 92232\n58380 87565\n42934 64541\n42603 64054\n19272 29031\n84844 100000\n8880 13343\n27731 41761\n17012 25626\n67321 100000\n16714 25173\n76812 100000\n17955 27050\n56159 84260\n97442 100000\n78897 100000\n61727 92606\n74354 100000\n4805 7246\n29562 44520\n18190 27408\n69535 100000\n11068 16657\n85562 100000\n50413 75680\n3787 5712\n19107 28779\n8546 12830\n50528 75856\n59574 89374\n28482 42883\n20757 31274\n9952 14965\n98091 100000\n80671 100000\n50639 76026\n57604 86397\n39753 59804\n60035 90068\n16704 25160\n89814 100000\n74584 100000\n9121 13706\n59687 89536\n87535 100000\n62327 93496\n36425 54786\n86809 100000\n6336 9517\n56034 84070\n19629 29563\n84629 100000\n30703 46250\n30909 46542\n23864 35971\n78024 100000\n88385 100000\n18960 28562\n3265 4942\n98592 100000\n42897 64484\n83985 100000\n73509 100000\n33274 50105\n30912 46547\n72399 100000\n60665 91019\n64164 96239\n33382 50259\n91321 100000\n51070 76660\n96623 100000\n14883 22409\n67720 100000\n98090 100000\n64037 96052\n31817 47917\n70105 100000\n78303 100000\n43677 65648\n5591 8394\n41787 62840\n35884 53968\n36947 55566\n25749 38820\n49844 74836\n54586 81901\n55368 83089\n59605 89418\n34011 51202\n60230 90368\n69812 100000\n12583 18930\n19672 29629\n37613 56563\n52636 79018\n79851 100000\n95054 100000\n44505 66885\n27494 41404\n32698 49230\n22692 34186\n74935 100000\n15520 23382\n95811 100000\n80690 100000\n37649 56618\n44496 66871\n40271 60565\n32993 49687\n99582 100000\n33796 50885\n74327 100000\n48300 72531\n79544 100000\n57484 86230\n79397 100000\n46791 70285\n89997 100000\n34500 51923\n76632 100000\n80703 100000\n23460 35352\n39923 60048\n28622 43092\n92839 100000\n70108 100000\n76905 100000\n35832 53892\n78722 100000\n14517 21854\n99941 100000\n265 378\n83905 100000\n70924 100000\n59796 89707\n20226 30458\n16956 25538\n47715 71667\n28935 43570\n1628 2451\n9321 14008\n93658 100000\n37156 55883\n97242 100000\n49911 74935\n3264 4940\n93741 100000\n48774 73236\n27161 40906\n79304 100000\n76386 100000\n95790 100000\n49387 74162\n53020 79597\n28475 42872\n88616 100000\n22884 34476\n66031 99035\n72371 100000\n30529 45985\n87121 100000\n53281 79982\n44129 66321\n85669 100000\n74535 100000\n8947 13443\n67276 100000\n61360 92062\n67639 100000\n5080 7644\n84788 100000\n69128 100000\n98601 100000\n28515 42930\n64412 96611\n88211 100000\n23627 35611\n47034 70663\n88289 100000\n33379 50254\n38273 57587\n1343 2013\n79385 100000\n79677 100000\n41716 62735\n25336 38181\n28088 42291\n94550 100000\n65006 97497\n54571 81878\n42991 64622\n82744 100000\n90255 100000\n1525 2288\n33839 50948\n62788 94169\n41029 61713\n7186 10797\n16853 25377\n51341 77058\n51492 77287\n96799 100000\n24562 37008\n44421 66758\n54748 82134\n1197 1788\n16657 25088\n7839 11776\n43956 66066\n89729 100000\n81521 100000\n2524 3819\n59140 88720\n62676 94010\n40861 61456\n22591 34031\n31015 46703\n33534 50484\n72734 100000\n91747 100000\n14250 21447\n89209 100000\n25178 37942\n65680 98513\n51280 76971\n9600 14432\n99574 100000\n36078 54259\n64372 96549\n39320 59158\n58076 87116\n33669 50690\n53103 79722\n96215 100000\n81007 100000\n84164 100000\n20370 30671\n82051 100000\n62420 93631\n16110 24281\n85859 100000\n66850 100000\n80350 100000\n55755 83655\n45971 69058\n72091 100000\n15381 23174\n91531 100000\n69917 100000\n48989 73558\n27117 40842\n43658 65624\n87119 100000\n16336 24615\n41779 62828\n38769 58323\n84945 100000\n74015 100000\n98393 100000\n8100 12167\n9297 13968\n45956 69034\n91192 100000\n33322 50174\n97103 100000\n78006 100000\n81721 100000\n78617 100000\n84829 100000\n6262 9405\n93233 100000\n49607 74498\n56315 84482\n7978 11983\n38082 57294\n48371 72638\n20492 30862\n9084 13648\n92087 100000\n83475 100000\n26604 40077\n69417 100000\n42927 64531\n14064 21182\n37439 56303\n37556 56479\n2393 3617\n452 669\n36525 54935\n97740 100000\n13851 20859\n63517 95262\n29584 44553\n95001 100000\n10711 16113\n62404 93607\n55219 82855\n93446 100000\n19756 29753\n11596 17450\n87002 100000\n15888 23941\n68800 100000\n71620 100000\n79857 100000\n1498 2249\n77756 100000\n33323 50176\n484 714\n94491 100000\n58479 87706\n2749 4160\n30407 45803\n46950 70528\n59316 88980\n93262 100000\n37020 55680\n69759 100000\n40848 61434\n57648 86463\n78276 100000\n73460 100000\n5131 7719\n538 795\n60573 90880\n69456 100000\n87145 100000\n65466 98199\n63166 94737\n92326 100000\n74002 100000\n12393 18640\n95641 100000\n48850 73349\n97781 100000\n96567 100000\n73287 100000\n74642 100000\n73090 100000\n58502 87739\n14435 21726\n70074 100000\n79294 100000\n31380 47261\n62303 93461\n44053 66208\n76243 100000\n96768 100000\n96439 100000\n52651 79036\n23861 35967\n50921 76447\n68090 100000\n71075 100000\n85145 100000\n39581 59547\n82456 100000\n38093 57312\n7246 10885\n21123 31834\n87635 100000\n52802 79262\n55843 83787\n7434 11174\n73743 100000\n17556 26450\n56184 84296\n71914 100000\n6259 9401\n59341 89020\n61950 92934\n78138 100000\n34771 52318\n68747 100000\n80054 100000\n73967 100000\n27435 41312\n15580 23471\n56303 84465\n88088 100000\n17599 26520\n30883 46505\n38533 57974\n30832 46431\n208 300\n44413 66748\n94233 100000\n31997 48188\n94664 100000\n60542 90833\n43700 65681\n75322 100000\n67378 100000\n75515 100000\n2864 4340\n84114 100000\n6035 9064\n24609 37084\n59098 88660\n10579 15906\n75489 100000\n43299 65094\n55734 83627\n93121 100000\n72118 100000\n48700 73124\n88678 100000\n24527 36957\n50819 76293\n48971 73531\n9588 14415\n68254 100000\n50507 75818\n20910 31509\n76555 100000\n87050 100000\n93052 100000\n57049 85582\n77782 100000\n43246 65010\n71500 100000\n19630 29565\n68693 100000\n48426 72716\n39534 59473\n19531 29417\n52560 78910\n21513 32432\n98804 100000\n11934 17950\n57565 86343\n41485 62397\n71709 100000\n84964 100000\n22810 34363\n88790 100000\n94300 100000\n43847 65896\n32264 48590\n17041 25672\n79368 100000\n86778 100000\n76720 100000\n56764 85151\n85118 100000\n92768 100000\n75096 100000\n54078 81137\n21634 32615\n53208 79876\n21646 32632\n98307 100000\n71085 100000\n1851 2794\n87314 100000\n97148 100000\n83605 100000\n936 1397\n50311 75533\n45187 67911\n50495 75801\n74858 100000\n89135 100000\n2266 3432\n73597 100000\n48042 72154\n74788 100000\n16897 25446\n31168 46940\n67847 100000\n30938 46586\n76760 100000\n92228 100000\n19454 29300\n11229 16894\n78656 100000\n47669 71600\n96414 100000\n97984 100000\n31991 48180\n69364 100000\n8535 12813\n97282 100000\n81666 100000\n74105 100000\n20776 31305\n47414 71220\n34417 51800\n85380 100000\n8289 12448\n42122 63340\n47491 71341\n81013 100000\n14185 21356\n8886 13351\n36475 54862\n31953 48122\n77804 100000\n63859 95791\n31063 46775\n36741 55259\n65034 97539\n10790 16226\n61359 92061\n30607 46108\n529 782\n29403 44276\n95260 100000\n64255 96372\n15972 24065\n73114 100000\n90608 100000\n32289 48631\n2805 4255\n68859 100000\n79482 100000\n42132 63356\n81433 100000\n90757 100000\n87165 100000\n25312 38149\n24647 37138\n61306 91987\n16921 25486\n63222 94821\n23564 35519\n10323 15526\n23478 35382\n76168 100000\n10862 16335\n5502 8257\n6197 9308\n25550 38512\n29169 43926\n82085 100000\n92358 100000\n7757 11654\n35556 53472\n69788 100000\n54246 81387\n29130 43862\n40024 60206\n74766 100000\n34807 52372\n5668 8509\n52149 78285\n3105 4697\n98310 100000\n35565 53486\n32520 48971\n44756 67271\n21963 33119\n13380 20153\n1614 2427\n46513 69876\n63159 94726\n98353 100000\n65798 98676\n59072 88619\n47750 71718\n45967 69052\n34554 52000\n20612 31046\n89222 100000\n33088 49835\n34165 51428\n66623 99926\n15293 23032\n27250 41041\n68580 100000\n38296 57624\n18297 27573\n92952 100000\n88877 100000\n27616 41587\n84876 100000\n79748 100000\n36885 55474\n95004 100000\n29229 44015\n5249 7891\n83517 100000\n26304 39628\n30026 45237\n58072 87112\n50027 75103\n21782 32833\n81043 100000\n26107 39338\n4461 6725\n19303 29082\n34553 51999\n22489 33889\n91357 100000\n49579 74455\n97404 100000\n40239 60516\n48574 72936\n2199 3331\n80834 100000\n58347 87519\n53835 80788\n93678 100000\n94573 100000\n3716 5609\n45953 69030\n98664 100000\n10886 16374\n23198 34963\n43622 65574\n40038 60227\n97728 100000\n23172 34925\n97071 100000\n10853 16322\n62610 93908\n41392 62259\n45561 68450\n67994 100000\n81358 100000\n4586 6918\n97001 100000\n70396 100000\n10888 16378\n49908 74931\n2697 4077\n33391 50270\n13700 20628\n63538 95299\n79868 100000\n59718 89589\n6277 9427\n15201 22890\n86707 100000\n70552 100000\n6406 9616\n26663 40167\n43939 66040\n80953 100000\n5677 8522\n63258 94876\n64494 96734\n84190 100000\n20704 31191\n51631 77504\n31199 46988\n46755 70236\n53921 80911\n31741 47801\n58703 88044\n47044 70680\n75866 100000\n96850 100000\n37469 56351\n63562 95338\n81961 100000\n49648 74555\n86966 100000\n32341 48707\n86961 100000\n50087 75196\n20278 30535\n60464 90717\n38786 58349\n88340 100000\n49306 74036\n76965 100000\n89326 100000\n26392 39763\n32950 49620\n77223 100000\n54204 81328\n80410 100000\n19735 29726\n29461 44362\n96516 100000\n4264 6427\n96503 100000\n39926 60053\n29865 44987\n55352 83064\n89679 100000\n68479 100000\n88402 100000\n37480 56367\n36217 54467\n1741 2624\n85748 100000\n82049 100000\n32384 48768\n70067 100000\n69674 100000\n12565 18902\n91426 100000\n68597 100000\n83505 100000\n69104 100000\n69 100\n56923 85396\n99095 100000\n59187 88788\n74246 100000\n44994 67618\n29917 45061\n23203 34970\n5466 8207\n11604 17460\n70510 100000\n17931 27016\n34606 52076\n81935 100000\n54367 81572\n66709 100000\n66103 99147\n99548 100000\n46132 69300\n3530 5331\n85674 100000\n41479 62388\n52308 78524\n25666 38694\n47817 71822\n77956 100000\n72595 100000\n18524 27918\n27422 41294\n20585 31000\n79309 100000\n72822 100000\n61244 91890\n68949 100000\n19116 28793\n35028 52694\n40478 60883\n65122 97669\n73023 100000\n94568 100000\n26606 40079\n56092 84157\n21009 31663\n82766 100000\n60141 90234\n64841 97253\n45132 67828\n86568 100000\n34758 52299\n27316 41138\n63818 95730\n65477 98218\n81902 100000\n38351 57705\n40230 60502\n77942 100000\n73031 100000\n90509 100000\n555 824\n56978 85477\n47601 71504\n78230 100000\n29840 44950\n92386 100000\n99185 100000\n28877 43481\n51974 78024\n35118 52833\n93283 100000\n30650 46168\n44320 66602\n52260 78450\n71170 100000\n15764 23746\n84302 100000\n58969 88462\n85622 100000\n47328 71097\n24135 36378\n20070 30230\n16486 24831\n50966 76507\n13007 19591\n38583 58045\n75595 100000\n44021 66163\n29476 44388\n35428 53295\n75708 100000\n56749 85133\n23632 35618\n72020 100000\n22414 33780\n6980 10478\n53872 80841\n15371 23162\n48588 72956\n86102 100000\n6799 10209\n33745 50806\n75259 100000\n5581 8376\n67101 100000\n34674 52180\n23058 34748\n52960 79504\n93981 100000\n15383 23178\n72847 100000\n11040 16613\n89236 100000\n73929 100000\n19393 29210\n28220 42491\n23162 34910\n29102 43825\n89868 100000\n69649 100000\n23413 35282\n27298 41112\n71196 100000\n92512 100000\n92194 100000\n27985 42127\n97574 100000\n22946 34575\n44648 67103\n36270 54550\n96733 100000\n61256 91907\n13493 20318\n50297 75515\n81775 100000\n33981 51160\n8512 12780\n99814 100000\n83453 100000\n6015 9036\n86744 100000\n47426 71241\n7981 11988\n54694 82054\n79711 100000\n69273 100000\n80084 100000\n19128 28813\n76875 100000\n81518 100000\n96844 100000\n17270 26027\n22680 34167\n95563 100000\n78579 100000\n57461 86200\n73168 100000\n81353 100000\n52798 79256\n79801 100000\n95819 100000\n79267 100000\n18503 27887\n74568 100000\n3125 4728\n94892 100000\n6659 9996\n91353 100000\n19147 28844\n60002 90018\n33676 50701\n159 231\n16772 25257\n60397 90618\n81910 100000\n9864 14828\n47551 71430\n66231 99345\n58780 88174\n9799 14732\n66039 99047\n15519 23381\n76315 100000\n61956 92943\n3447 5212\n81962 100000\n51072 76663\n16012 24127\n79977 100000\n1608 2419\n62334 93508\n47680 71615\n39624 59610\n46711 70168\n93062 100000\n68867 100000\n78188 100000\n77574 100000\n14178 21347\n60321 90502\n45966 69050\n21175 31917\n72197 100000\n47112 70782\n24535 36968\n94411 100000\n48115 72251\n18276 27542\n90534 100000\n64320 96468\n50579 75932\n23650 35645\n75348 100000\n68610 100000\n92587 100000\n24047 36248\n28394 42750\n89691 100000\n44719 67214\n75217 100000\n64314 96460\n86607 100000\n16845 25363\n21583 32537\n25551 38513\n81781 100000\n98179 100000\n39115 58846\n11425 17195\n9916 14908\n61901 92868\n19880 29942\n26541 39985\n7134 10714\n56800 85203\n3163 4783\n32355 48730\n79528 100000\n60081 90140\n33155 49928\n23262 35058\n44282 66549\n56657 84993\n26215 39493\n75360 100000\n21230 31999\n96003 100000\n69717 100000\n40597 61062\n7363 11063\n27948 42077\n58635 87941\n68355 100000\n44321 66604\n85953 100000\n18393 27718\n54034 81078\n49358 74119\n24404 36780\n7958 11957\n29783 44858\n18474 27842\n30822 46417\n42422 63783\n2467 3729\n94583 100000\n37701 56696\n8579 12881\n47760 71733\n9186 13800\n71264 100000\n42072 63269\n37773 56813\n51666 77557\n81937 100000\n80442 100000\n45084 67757\n31252 47062\n41200 61977\n35088 52786\n43940 66041\n84418 100000\n45025 67667\n23462 35356\n75537 100000\n40699 61211\n26404 39781\n86703 100000\n53951 80955\n60743 91146\n16740 25210\n56093 84158\n26349 39695\n69803 100000\n8197 12316\n58023 87039\n26224 39507\n71169 100000\n11353 17085\n90527 100000\n82635 100000\n58667 87988\n54203 81327\n58424 87625\n24455 36856\n24005 36184\n80811 100000\n431 637\n56028 84061\n33956 51126\n11123 16741\n97215 100000\n91791 100000\n34178 51448\n46060 69190\n28627 43099\n25367 38230\n67486 100000\n87270 100000\n20202 30423\n15175 22854\n13775 20742\n58517 87762\n43532 65439\n34812 52380\n70516 100000\n81255 100000\n57974 86968\n22250 33539\n12479 18773\n52377 78627\n85741 100000\n12489 18787\n96219 100000\n35664 53631\n56662 85000\n60754 91165\n72523 100000\n45022 67661\n28393 42749\n62569 93852\n75504 100000\n41394 62262\n77355 100000\n66499 99743\n99053 100000\n67535 100000\n6959 10447\n21265 32053\n18375 27693\n23216 34991\n5550 8326\n16035 24162\n30614 46116\n5697 8557\n44349 66652\n57134 85710\n88382 100000\n15923 23994\n95160 100000\n98317 100000\n86963 100000\n1700 2561\n13708 20640\n37310 56111\n85954 100000\n90837 100000\n35281 53071\n57031 85555\n22999 34660\n87180 100000\n50255 75450\n16782 25271\n63971 95950\n30393 45785\n90597 100000\n24641 37131\n77778 100000\n52796 79252\n17542 26429\n7566 11369\n46884 70423\n35286 53078\n82507 100000\n41826 62900\n1595 2400\n2023 3059\n16302 24563\n34020 51217\n13075 19694\n42269 63554\n30031 45242\n36768 55300\n19737 29728\n74064 100000\n25042 37744\n64071 96098\n101 150\n54583 81898\n84118 100000\n34162 51423\n6044 9078\n10738 16150\n30669 46200\n54177 81284\n87753 100000\n59120 88691\n23818 35902\n15595 23493\n77529 100000\n70704 100000\n16095 24254\n28092 42298\n11244 16916\n46117 69274\n43354 65177\n72601 100000\n71063 100000\n16284 24538\n10969 16512\n17738 26732\n58862 88299\n18937 28528\n99055 100000\n76814 100000\n52807 79271\n29319 44153\n49847 74841\n37601 56545\n12144 18273\n45824 68840\n76053 100000\n21780 32829\n49591 74475\n77215 100000\n68411 100000\n17266 26021\n23576 35536\n38687 58192\n66635 99943\n3192 4828\n54211 81337\n95521 100000\n71753 100000\n63370 95040\n39278 59090\n67619 100000\n57948 86930\n29832 44938\n9851 14809\n70736 100000\n31968 48144\n62024 93045\n64936 97391\n53668 80541\n4668 7039\n5774 8670\n52294 78502\n6608 9913\n58417 87616\n87993 100000\n97741 100000\n22851 34426\n8012 12034\n9719 14609\n33677 50703\n67598 100000\n7926 11910\n8753 13146\n51900 77912\n55726 83615\n32986 49674\n37793 56845\n33997 51183\n34311 51648\n65061 97576\n355 515\n53435 80208\n11383 17130\n72103 100000\n59910 89884\n17251 25998\n15698 23655\n70997 100000\n95960 100000\n44755 67269\n68911 100000\n47784 71772\n25741 38808\n73659 100000\n17902 26970\n10014 15064\n88800 100000\n23123 34850\n87739 100000\n47312 71073\n62247 93379\n13393 20170\n11050 16627\n85872 100000\n11587 17434\n53519 80322\n2027 3063\n67574 100000\n28817 43394\n30603 46102\n34023 51221\n52375 78624\n45124 67818\n68179 100000\n54014 81049\n67385 100000\n45462 68309\n25572 38541\n74200 100000\n16441 24766\n96282 100000\n28150 42389\n66575 99856\n32162 48437\n31825 47928\n79576 100000\n76930 100000\n10808 16258\n26886 40504\n4154 6268\n35617 53565\n56457 84696\n91938 100000\n56719 85091\n99608 100000\n38975 58633\n93238 100000\n45506 68375\n84092 100000\n10402 15651\n55386 83115\n59983 89990\n92821 100000\n26860 40462\n54370 81576\n31419 47321\n10145 15260\n41635 62618\n59563 89357\n54024 81065\n72172 100000\n54950 82445\n34720 52244\n17210 25936\n43985 66110\n27798 41859\n69058 100000\n85436 100000\n39771 59830\n87713 100000\n75829 100000\n28022 42180\n29185 43952\n28282 42586\n57243 85876\n51351 77073\n43237 64995\n62449 93672\n45039 67686\n23070 34767\n8332 12512\n58758 88138\n16296 24553\n17203 25927\n32576 49058\n18689 28170\n80168 100000\n50898 76413\n78970 100000\n47280 71024\n89634 100000\n92908 100000\n83618 100000\n7545 11339\n72082 100000\n17320 26098\n70619 100000\n99777 100000\n3872 5836\n90666 100000\n29557 44512\n219 316\n79623 100000\n86575 100000\n74875 100000\n54197 81318\n16809 25311\n94062 100000\n53145 79786\n44644 67097\n5227 7864\n4774 7199\n16445 24771\n70610 100000\n88209 100000\n50269 75472\n33716 50764\n87074 100000\n24953 37616\n78176 100000\n19958 30062\n8277 12429\n16326 24599\n83664 100000\n84713 100000\n99197 100000\n82951 100000\n28963 43612\n35010 52668\n85020 100000\n19806 29822\n91374 100000\n7963 11965\n92014 100000\n34126 51373\n31055 46762\n36512 54917\n9106 13681\n92409 100000\n28947 43588\n29753 44820\n94647 100000\n36201 54441\n80414 100000\n10126 15234\n22266 33564\n24399 36773\n12924 19463\n98940 100000\n77440 100000\n92206 100000\n73410 100000\n458 677\n29085 43799\n61945 92926\n63648 95475\n27470 41364\n55901 83871\n47517 71381\n91666 100000\n8078 12138\n30073 45308\n63314 94962\n58221 87329\n93100 100000\n85275 100000\n36334 54650\n34717 52240\n87208 100000\n95024 100000\n21734 32755\n77820 100000\n35272 53059\n77763 100000\n1757 2649\n22211 33481\n57148 85730\n61173 91783\n33762 50831\n26169 39430\n62014 93031\n67340 100000\n5869 8820\n47048 70685\n28728 43255\n56798 85200\n79589 100000\n41736 62763\n51548 77375\n53359 80097\n50055 75146\n57443 86179\n18948 28545\n25497 38430\n10497 15786\n88796 100000\n8775 13179\n88717 100000\n29178 43942\n20574 30983\n69996 100000\n9907 14895\n37198 55947\n82486 100000\n76869 100000\n89501 100000\n77138 100000\n82631 100000\n64157 96229\n86085 100000\n83943 100000\n60521 90802\n42599 64048\n12117 18227\n27544 41481\n68313 100000\n46848 70371\n79679 100000\n99802 100000\n65474 98212\n77608 100000\n12415 18675\n89131 100000\n4182 6311\n99675 100000\n91273 100000\n24242 36535\n37004 55656\n32427 48826\n90502 100000\n89322 100000\n37942 57076\n57242 85874\n39152 58902\n58173 87261\n51407 77157\n20998 31643\n54997 82514\n4686 7068\n55920 83897\n84704 100000\n31310 47155\n21886 32997\n87138 100000\n23941 36081\n68605 100000\n46307 69570\n89232 100000\n75272 100000\n76328 100000\n81584 100000\n24188 36457\n77711 100000\n55135 82727\n24909 37555\n62842 94247\n17078 25729\n3862 5821\n90876 100000\n14660 22071\n61865 92808\n43051 64717\n55653 83513\n20793 31331\n42964 64584\n59252 88883\n10067 15147\n96803 100000\n36338 54657\n56685 85036\n79492 100000\n73553 100000\n27957 42089\n6245 9378\n22944 34571\n88438 100000\n8360 12549\n50354 75594\n41796 62852\n74831 100000\n78034 100000\n43562 65485\n31545 47511\n33447 50357\n64148 96214\n66738 100000\n96925 100000\n56398 84610\n258 366\n19640 29580\n75363 100000\n52264 78456\n68357 100000\n61441 92183\n60441 90681\n8902 13373\n85485 100000\n22904 34509\n67 98\n43625 65578\n96975 100000\n16453 24781\n18420 27759\n90839 100000\n35727 53737\n1746 2631\n83007 100000\n36157 54375\n36661 55144\n77941 100000\n47295 71047\n7121 10692\n57027 85549\n75073 100000\n28527 42945\n90908 100000\n38469 57874\n43204 64946\n93103 100000\n52772 79218\n59450 89187\n29669 44686\n78778 100000\n28279 42582\n63425 95128\n90183 100000\n47674 71608\n35823 53880\n1729 2605\n56271 84421\n97830 100000\n30805 46396\n25961 39128\n76277 100000\n89511 100000\n57300 85969\n54626 81958\n85040 100000\n16561 24944\n54857 82301\n25283 38101\n37283 56073\n61700 92564\n52844 79326\n37845 56926\n97963 100000\n15619 23532\n70994 100000\n66485 99721\n95461 100000\n6288 9446\n87306 100000\n16759 25237\n16410 24721\n36973 55608\n80478 100000\n45331 68125\n39333 59177\n78185 100000\n64539 96800\n91759 100000\n80230 100000\n79352 100000\n78499 100000\n17229 25965\n1566 2351\n16037 24165\n70419 100000\n39137 58880\n88322 100000\n71739 100000\n36625 55094\n36807 55359\n26540 39983\n15133 22788\n90919 100000\n21085 31779\n70338 100000\n63475 95200\n7814 11738\n58902 88358\n87984 100000\n4527 6824\n30950 46605\n79279 100000\n14029 21128\n18384 27705\n64732 97089\n69440 100000\n36735 55249\n70734 100000\n31186 46968\n72092 100000\n56163 84267\n77214 100000\n59064 88607\n19396 29215\n49478 74296\n72620 100000\n35200 52956\n12391 18637\n69620 100000\n91560 100000\n38323 57665\n18442 27791\n94961 100000\n70257 100000\n10741 16154\n86415 100000\n18696 28180\n1557 2337\n61810 92726\n39216 58994\n4778 7204\n99152 100000\n70598 100000\n2829 4289\n47219 70935\n60012 90034\n9377 14091\n15626 23543\n19097 28763\n42116 63330\n22039 33226\n11613 17472\n41412 62289\n45467 68317\n25707 38756\n19296 29073\n71037 100000\n50034 75112\n26595 40064\n59495 89255\n76848 100000\n64769 97145\n82920 100000\n28554 42989\n47948 72013\n42460 63845\n79531 100000\n50012 75080\n42510 63917\n32898 49535\n58530 87781\n80043 100000\n17890 26953\n26654 40152\n54975 82482\n12965 19528\n80349 100000\n49360 74122\n49102 73724\n19264 29019\n69968 100000\n14400 21672\n62210 93326\n12825 19317\n46009 69115\n85294 100000\n77796 100000\n56586 84887\n98678 100000\n39557 59507\n27164 40911\n1360 2039\n30736 46300\n90499 100000\n68789 100000\n88720 100000\n74744 100000\n26417 39801\n52150 78286\n77563 100000\n78654 100000\n62432 93650\n84233 100000\n11445 17226\n87727 100000\n86626 100000\n99172 100000\n45651 68582\n69987 100000\n65761 98627\n40900 61514\n74281 100000\n90094 100000\n95381 100000\n13885 20912\n74724 100000\n21519 32442\n36132 54338\n72203 100000\n57841 86761\n37440 56305\n1562 2344\n21402 32266\n57001 85512\n65674 98504\n6661 9999\n21365 32215\n62159 93249\n57608 86404\n45732 68701\n68161 100000\n4293 6471\n88898 100000\n68398 100000\n61495 92263\n90549 100000\n16138 24322\n83932 100000\n32541 49003\n45296 68073\n40714 61233\n95972 100000\n60575 90883\n65722 98572\n26080 39299\n81121 100000\n33659 50676\n18887 28457\n47565 71450\n84671 100000\n57894 86842\n84853 100000\n6092 9144\n36231 54487\n48405 72686\n46649 70073\n35256 53034\n11269 16958\n51195 76846\n54713 82083\n79 116\n64166 96241\n62762 94133\n97086 100000\n93780 100000\n94917 100000\n22873 34460\n13568 20429\n64881 97312\n66281 99422\n43587 65519\n92687 100000\n83338 100000\n14296 21516\n25358 38214\n49133 73772\n17756 26754\n62681 94018\n78913 100000\n16019 24136\n66835 100000\n62544 93814\n14952 22519\n18311 27596\n84614 100000\n23042 34723\n32361 48739\n89049 100000\n33876 51010\n85290 100000\n83020 100000\n32256 48576\n10460 15735\n66091 99128\n9024 13560\n55310 82996\n13433 20234\n1243 1862\n31730 47785\n56564 84851\n12594 18948\n13908 20946\n28062 42249\n9368 14076\n7488 11259\n10003 15048\n1968 2970\n14735 22180\n12254 18436\n9845 14798\n56472 84718\n30826 46421\n71422 100000\n30174 45463\n50179 75340\n83863 100000\n15921 23992\n45048 67700\n47025 70649\n68529 100000\n62099 93156\n47445 71269\n78927 100000\n33107 49862\n53686 80569\n95314 100000\n98700 100000\n59038 88570\n30873 46488\n5416 8133\n12802 19280\n95773 100000\n87783 100000\n42086 63287\n77221 100000\n20532 30917\n98316 100000\n65376 98055\n64621 96922\n38295 57622\n24760 37321\n22702 34203\n36457 54836\n40562 61009\n70660 100000\n71240 100000\n92482 100000\n7833 11766\n16 22\n60577 90886\n12553 18886\n68427 100000\n63376 95050\n29211 43991\n62021 93041\n19621 29552\n51570 77407\n98178 100000\n70749 100000\n12642 19023\n39176 58939\n23671 35680\n48229 72428\n66785 100000\n3758 5673\n87329 100000\n66156 99232\n35898 53989\n26474 39890\n29376 44236\n7054 10588\n58148 87225\n98538 100000\n60231 90369\n64059 96081\n52390 78647\n65834 98735\n47540 71416\n85978 100000\n81310 100000\n10519 15818\n53786 80712\n81901 100000\n53818 80763\n61575 92375\n35923 54030\n62095 93150\n11447 17229\n40212 60477\n16890 25435\n91720 100000\n47761 71735\n61020 91552\n17315 26092\n14664 22077\n37662 56634\n51884 77890\n26683 40195\n14089 21216\n47066 70710\n26994 40662\n80927 100000\n7596 11412\n73081 100000\n48100 72235\n77605 100000\n20568 30974\n60801 91233\n88546 100000\n65490 98240\n99957 100000\n67197 100000\n10868 16346\n83858 100000\n20234 30469\n53812 80755\n23437 35318\n73738 100000\n84084 100000\n57157 85744\n59240 88864\n58709 88054\n99809 100000\n21470 32369\n67086 100000\n70710 100000\n59564 89359\n43797 65824\n93546 100000\n8818 13249\n84739 100000\n29088 43804\n96092 100000\n84450 100000\n84160 100000\n89385 100000\n49451 74254\n45471 68323\n26084 39304\n1445 2172\n35111 52824\n44707 67194\n32854 49465\n21219 31980\n77566 100000\n14900 22436\n90851 100000\n93499 100000\n37549 56469\n89293 100000\n30058 45281\n56728 85105\n16834 25345\n45431 68267\n98990 100000\n81515 100000\n58120 87185\n63942 95909\n34012 51204\n8248 12388\n52951 79490\n62866 94280\n85428 100000\n49953 74996\n99721 100000\n40011 60185\n4803 7243\n5920 8901\n77393 100000\n73684 100000\n92788 100000\n35035 52703\n11688 17590\n52869 79362\n14574 21941\n8962 13466\n78117 100000\n59028 88554\n61802 92714\n36745 55265\n68653 100000\n49845 74838\n22217 33490\n72456 100000\n49206 73888\n69823 100000\n87659 100000\n46534 69904\n96251 100000\n92700 100000\n19567 29470\n63605 95408\n55656 83518\n24594 37060\n27714 41732\n93191 100000\n87856 100000\n42456 63838\n58870 88311\n83218 100000\n29787 44863\n70452 100000\n24685 37200\n3645 5501\n59761 89653\n44428 66769\n74845 100000\n60667 91022\n99635 100000\n26526 39962\n810 1212\n70367 100000\n89489 100000\n45167 67885\n77126 100000\n20661 31117\n35472 53361\n95942 100000\n19977 30090\n61538 92323\n63898 95847\n63821 95734\n86062 100000\n67923 100000\n76468 100000\n90723 100000\n62293 93446\n73471 100000\n93579 100000\n23181 34939\n18692 28175\n19752 29749\n75769 100000\n43744 65740\n43117 64815\n44412 66747\n20616 31052\n41349 62194\n58915 88376\n39684 59705\n1357 2035\n48504 72839\n31954 48123\n94218 100000\n45848 68872\n41884 62984\n59021 88542\n38436 57830\n90308 100000\n83549 100000\n50904 76422\n79123 100000\n32858 49470\n54181 81291\n84395 100000\n21916 33043\n49581 74458\n33341 50203\n47267 71006\n72978 100000\n54120 81197\n3907 5891\n71804 100000\n53063 79661\n3110 4705\n24659 37158\n42493 63892\n3423 5178\n65870 98785\n75440 100000\n70894 100000\n26483 39902\n92139 100000\n70919 100000\n89959 100000\n44621 67062\n67722 100000\n834 1249\n78601 100000\n24708 37238\n94389 100000\n63267 94890\n2678 4047\n45171 67890\n77575 100000\n27354 41193\n7367 11069\n17882 26940\n13737 20681\n30442 45859\n14616 22003\n37621 56576\n27823 41895\n92430 100000\n25980 39151\n11161 16795\n3195 4833\n96457 100000\n61612 92432\n53968 80983\n17002 25611\n41438 62328\n12282 18478\n98331 100000\n5401 8109\n93584 100000\n59653 89488\n19114 28790\n39132 58872\n79259 100000\n22723 34234\n34676 52182\n92641 100000\n58597 87880\n48207 72392\n3629 5478\n42466 63852\n85873 100000\n27294 41106\n54504 81784\n34725 52252\n76010 100000\n87697 100000\n23760 35813\n99296 100000\n77389 100000\n82477 100000\n72059 100000\n37993 57150\n73461 100000\n87538 100000\n81364 100000\n43178 64903\n86403 100000\n2218 3359\n35615 53562\n3620 5464\n73589 100000\n59993 90004\n44218 66450\n19348 29145\n62360 93545\n78577 100000\n1591 2393\n34823 52396\n30973 46641\n35967 54093\n37282 56072\n41692 62701\n84574 100000\n76442 100000\n88741 100000\n29535 44479\n60283 90442\n98508 100000\n89645 100000\n76175 100000\n18867 28425\n63177 94756\n34922 52538\n55759 83660\n41180 61944\n24104 36332\n36295 54590\n7058 10595\n14377 21639\n51088 76686\n6038 9069\n7142 10726\n81849 100000\n1133 1692\n15581 23473\n25477 38400\n11415 17181\n46086 69229\n84314 100000\n53638 80495\n22631 34093\n75786 100000\n47202 70912\n72069 100000\n82966 100000\n39633 59623\n53530 80339\n3740 5644\n76947 100000\n84663 100000\n40630 61109\n14140 21297\n32737 49285\n97190 100000\n72918 100000\n13022 19613\n69416 100000\n56578 84873\n46837 70353\n51728 77653\n30626 46132\n52030 78104\n64806 97204\n33454 50367\n82161 100000\n92496 100000\n15920 23990\n77377 100000\n84167 100000\n4830 7283\n36646 55122\n48607 72980\n89546 100000\n22210 33479\n15752 23727\n64187 96271\n28694 43202\n52880 79382\n38255 57558\n68436 100000\n22249 33537\n44101 66276\n63589 95382\n84246 100000\n84335 100000\n54998 82516\n87652 100000\n32633 49139\n19445 29285\n88473 100000\n45981 69073\n46501 69858\n87283 100000\n25669 38698\n58651 87963\n41948 63081\n9113 13693\n5888 8849\n11758 17689\n62093 93148\n86971 100000\n60776 91202\n98706 100000\n13840 20839\n87272 100000\n91575 100000\n82233 100000\n24233 36522\n87014 100000\n14331 21565\n80291 100000\n1732 2608\n11222 16884\n32078 48309\n57982 86981\n55031 82565\n18047 27191\n55691 83569\n41571 62518\n28322 42645\n30360 45738\n38191 57461\n77512 100000\n74134 100000\n87450 100000\n591 881\n46674 70110\n67405 100000\n87866 100000\n53398 80153\n98077 100000\n88548 100000\n71779 100000\n22982 34633\n55408 83149\n59314 88978\n85699 100000\n89745 100000\n18775 28291\n80304 100000\n74592 100000\n30469 45899\n87875 100000\n52472 78770\n11217 16876\n69056 100000\n78183 100000\n58245 87366\n45537 68416\n21594 32551\n70722 100000\n2428 3668\n49239 73938\n90318 100000\n58040 87065\n68163 100000\n61099 91674\n41881 62981\n81247 100000\n63327 94981\n79508 100000\n92772 100000\n93853 100000\n54788 82195\n86731 100000\n23458 35349\n77506 100000\n30035 45247\n14182 21353\n64442 96656\n25334 38178\n75088 100000\n65913 98853\n22435 33809\n85376 100000\n28832 43416\n80712 100000\n26615 40095\n34259 51569\n10346 15563\n88865 100000\n51875 77877\n54568 81874\n94127 100000\n88961 100000\n33753 50817\n71379 100000\n9064 13618\n36484 54874\n98113 100000\n4836 7292\n63152 94714\n57531 86300\n17047 25681\n35633 53589\n79233 100000\n6513 9779\n98268 100000\n43369 65201\n61146 91743\n72057 100000\n90026 100000\n80911 100000\n90821 100000\n33042 49763\n38745 58283\n22768 34303\n67064 100000\n25393 38273\n7633 11469\n74508 100000\n2055 3104\n73218 100000\n84756 100000\n46360 69648\n67556 100000\n6421 9638\n72124 100000\n25181 37947\n55698 83577\n15435 23254\n16527 24900\n81167 100000\n49670 74588\n6775 10174\n85175 100000\n10647 16010\n72102 100000\n44390 66716\n62958 94417\n13692 20615\n68011 100000\n7726 11608\n93098 100000\n1774 2676\n84123 100000\n58823 88239\n35492 53388\n36682 55174\n63084 94610\n75404 100000\n89721 100000\n93200 100000\n58384 87570\n72737 100000\n68727 100000\n62525 93780\n83419 100000\n96606 100000\n72778 100000\n53627 80478\n51792 77750\n85300 100000\n87983 100000\n93355 100000\n34009 51199\n77176 100000\n83482 100000\n89599 100000\n70539 100000\n71272 100000\n71962 100000\n53235 79918\n27639 41617\n95378 100000\n48103 72239\n71724 100000\n52105 78214\n68736 100000\n92334 100000\n4690 7073\n6276 9426\n72348 100000\n80704 100000\n81802 100000\n15849 23887\n46818 70325\n98609 100000\n95189 100000\n82751 100000\n89122 100000\n41705 62721\n60642 90988\n29938 45095\n56404 84618\n82320 100000\n23383 35239\n24360 36713\n83063 100000\n39396 59273\n5056 7609\n99899 100000\n27451 41339\n80925 100000\n82674 100000\n53239 79924\n37689 56678\n25139 37888\n19242 28987\n34460 51863\n79507 100000\n49463 74273\n22685 34174\n13220 19913\n37856 56941\n38078 57286\n21775 32822\n86274 100000\n70259 100000\n25519 38465\n59721 89592\n76063 100000\n97289 100000\n23342 35176\n65229 97839\n35855 53930\n86479 100000\n61107 91685\n96687 100000\n70823 100000\n19729 29717\n54286 81449\n87029 100000\n37650 56619\n49232 73929\n36541 54959\n39075 58783\n36748 55270\n94010 100000\n14336 21573\n26023 39213\n29438 44329\n81553 100000\n53314 80034\n99105 100000\n73648 100000\n74969 100000\n80660 100000\n1006 1503\n21944 33086\n47547 71425\n81206 100000\n81034 100000\n76098 100000\n60861 91315\n58 83\n15368 23159\n20900 31494\n17944 27033\n12380 18622\n24963 37631\n25587 38564\n84591 100000\n16504 24861\n33654 50669\n18552 27965\n99736 100000\n8840 13280\n1932 2915\n71254 100000\n65791 98665\n60889 91355\n45318 68104\n60613 90945\n44465 66823\n61349 92048\n43561 65484\n46754 70235\n78088 100000\n96730 100000\n65760 98626\n65525 98290\n66963 100000\n10399 15647\n4657 7023\n91753 100000\n75776 100000\n40961 61603\n61120 91706\n98513 100000\n6310 9478\n22051 33244\n97725 100000\n39293 59112\n9628 14474\n55365 83084\n58289 87429\n14828 22323\n91955 100000\n26390 39759\n37268 56048\n71410 100000\n8190 12306\n4901 7392\n69124 100000\n73958 100000\n87862 100000\n11486 17288\n22601 34047\n79322 100000\n47630 71543\n14590 21964\n72712 100000\n17834 26867\n96048 100000\n2911 4411\n75170 100000\n87031 100000\n18335 27630\n45934 68999\n64237 96343\n18666 28137\n39052 58749\n64290 96425\n29294 44116\n86167 100000\n857 1280\n71014 100000\n39013 58692\n14042 21149\n80248 100000\n27444 41328\n83444 100000\n75296 100000\n99954 100000\n38183 57448\n47871 71901\n37006 55660\n16244 24479\n82413 100000\n8307 12473\n78953 100000\n43112 64807\n97031 100000\n59941 89928\n11940 17959\n93225 100000\n5106 7683\n90812 100000\n88452 100000\n14412 21693\n16618 25028\n51954 77991\n64168 96244\n73617 100000\n58545 87804\n21748 32779\n13315 20056\n48421 72709\n81493 100000\n56334 84512\n4522 6816\n28297 42610\n64774 97154\n48730 73171\n3533 5337\n88719 100000\n78392 100000\n27890 41996\n85424 100000\n60630 90969\n95214 100000\n8931 13416\n10939 16462\n69141 100000\n37859 56946\n9359 14065\n98469 100000\n82917 100000\n51129 76746\n91539 100000\n78142 100000\n27263 41061\n44310 66589\n18865 28423\n34945 52570\n87261 100000\n33690 50722\n72033 100000\n55462 83227\n83277 100000\n8098 12165\n77615 100000\n10974 16519\n80482 100000\n52975 79526\n84180 100000\n87751 100000\n49810 74787\n30286 45629\n22663 34140\n15880 23931\n6814 10228\n4909 7404\n74667 100000\n31102 46834\n69349 100000\n19102 28771\n43331 65140\n46200 69398\n79789 100000\n45776 68767\n5767 8660\n38112 57341\n63922 95881\n37611 56559\n56954 85440\n15184 22867\n96984 100000\n58982 88486\n5096 7669\n18519 27911\n12078 18166\n67518 100000\n32046 48260\n42799 64337\n80017 100000\n10619 15965\n81468 100000\n99622 100000\n21930 33065\n53756 80671\n90161 100000\n34077 51301\n71347 100000\n61731 92612\n48168 72330\n26842 40435\n3707 5594\n55930 83911\n18141 27328\n85520 100000\n68460 100000\n59420 89142\n32266 48594\n42152 63383\n56766 85154\n79191 100000\n38570 58028\n20239 30476\n51569 77406\n61915 92886\n45773 68761\n40451 60839\n89526 100000\n40196 60454\n50975 76520\n33924 51079\n51325 77032\n43946 66051\n54146 81236\n65089 97620\n90835 100000\n72841 100000\n20734 31240\n58857 88292\n49490 74318\n66896 100000\n14550 21904\n23186 34945\n79680 100000\n86797 100000\n77879 100000\n16624 25038\n91867 100000\n40044 60234\n22487 33887\n12319 18530\n29754 44822\n67049 100000\n30072 45306\n15993 24097\n44508 66891\n45010 67642\n39611 59590\n83544 100000\n78936 100000\n79096 100000\n72041 100000\n52480 78781\n36498 54895\n27397 41253\n72165 100000\n7533 11320\n34810 52376\n26831 40417\n54250 81394\n96308 100000\n95631 100000\n48239 72441\n90676 100000\n92762 100000\n52761 79200\n54573 81882\n56448 84680\n88692 100000\n1885 2842\n59045 88579\n11149 16780\n45911 68963\n44627 67070\n99661 100000\n77106 100000\n56228 84363\n10219 15376\n89685 100000\n84963 100000\n35573 53495\n79068 100000\n57205 85815\n82448 100000\n80001 100000\n8258 12401\n67625 100000\n72827 100000\n25241 38040\n58152 87230\n35023 52685\n15736 23704\n98231 100000\n73289 100000\n46077 69215\n58550 87811\n98795 100000\n29521 44458\n85151 100000\n11630 17497\n47743 71707\n47707 71655\n43122 64822\n17030 25652\n60481 90744\n92333 100000\n20461 30809\n98188 100000\n14968 22544\n27391 41247\n98634 100000\n35289 53083\n22358 33695\n62361 93546\n64719 97069\n86374 100000\n83188 100000\n33983 51164\n12297 18499\n79283 100000\n63581 95366\n13672 20585\n99532 100000\n6459 9703\n99522 100000\n78026 100000\n32227 48539\n78621 100000\n22447 33827\n10766 16191\n64141 96204\n87776 100000\n16464 24798\n92092 100000\n2146 3248\n67442 100000\n49625 74523\n15248 22962\n98576 100000\n34568 52018\n18235 27477\n45731 68699\n97497 100000\n37471 56355\n86623 100000\n38006 57170\n39608 59585\n99338 100000\n16919 25482\n63598 95398\n38695 58205\n90981 100000\n6492 9748\n33581 50556\n49430 74224\n8163 12266\n92645 100000\n76172 100000\n42867 64440\n40156 60397\n61973 92968\n37501 56397\n33714 50761\n90333 100000\n66764 100000\n1106 1647\n86605 100000\n90073 100000\n79854 100000\n65845 98750\n17575 26481\n54963 82463\n9433 14180\n32791 49371\n62256 93394\n57055 85592\n61212 91841\n74826 100000\n13986 21058\n95873 100000\n42871 64446\n19856 29902\n14871 22394\n45176 67897\n84987 100000\n73557 100000\n5092 7663\n52176 78328\n20895 31488\n37381 56217\n84530 100000\n88742 100000\n77291 100000\n15170 22848\n91941 100000\n64186 96269\n30573 46054\n33760 50827\n90399 100000\n58977 88477\n49964 75010\n79346 100000\n8064 12116\n28398 42756\n3500 5289\n23155 34899\n5176 7785\n3670 5539\n51318 77024\n62690 94032\n28376 42723\n63970 95948\n21779 32827\n12660 19051\n79305 100000\n90204 100000\n69626 100000\n84042 100000\n85321 100000\n13025 19617\n85559 100000\n667 999\n23159 34905\n44122 66310\n55290 82965\n93246 100000\n60276 90432\n417 614\n56595 84901\n35595 53529\n6284 9438\n99788 100000\n86125 100000\n98342 100000\n80484 100000\n99649 100000\n88027 100000\n22005 33177\n33628 50630\n40980 61637\n63801 95706\n12715 19138\n92038 100000\n3636 5489\n21076 31765\n60568 90873\n99868 100000\n67607 100000\n25909 39058\n17484 26342\n84001 100000\n62091 93145\n57810 86717\n43736 65728\n91786 100000\n66050 99063\n30717 46270\n52600 78970\n5151 7750\n58595 87877\n63070 94589\n11044 16620\n80416 100000\n24849 37462\n58234 87347\n58944 88422\n48005 72099\n91312 100000\n91699 100000\n72696 100000\n1450 2180\n19979 30092\n77875 100000\n88273 100000\n51970 78017\n86359 100000\n65654 98477\n58205 87306\n49839 74828\n74889 100000\n48541 72894\n94649 100000\n14695 22121\n80743 100000\n18250 27500\n7663 11516\n29698 44731\n36336 54653\n51976 78028\n61777 92678\n40099 60316\n38260 57566\n37605 56552\n80568 100000\n73435 100000\n8305 12470\n67025 100000\n12609 18972\n16883 25424\n79663 100000\n85133 100000\n31875 48008\n31492 47432\n90503 100000\n7623 11452\n79588 100000\n53391 80142\n72855 100000\n19185 28900\n66439 99654\n54651 81992\n33213 50011\n72343 100000\n61444 92188\n52428 78707\n8439 12665\n4475 6745\n17052 25689\n68824 100000\n81386 100000\n23869 35978\n48661 73065\n38665 58163\n51119 76732\n67835 100000\n74338 100000\n35402 53255\n66814 100000\n86705 100000\n35734 53746\n52419 78693\n99379 100000\n50040 75120\n75772 100000\n23777 35839\n38232 57523\n57659 86480\n76584 100000\n58074 87114\n73198 100000\n92724 100000\n92800 100000\n14135 21290\n82755 100000\n1233 1847\n76179 100000\n26911 40544\n24637 37126\n40944 61579\n43040 64698\n74558 100000\n65746 98608\n95731 100000\n69024 100000\n88932 100000\n93666 100000\n92579 100000\n4692 7075\n57823 86735\n63199 94789\n13090 19718\n905 1353\n57854 86779\n73527 100000\n75032 100000\n10544 15853\n36237 54497\n38298 57627\n19905 29980\n34576 52030\n23025 34700\n87340 100000\n52892 79401\n48676 73087\n20751 31266\n4884 7366\n99284 100000\n3851 5803\n38370 57730\n97729 100000\n46143 69316\n81355 100000\n27139 40872\n96511 100000\n37988 57143\n30635 46144\n89168 100000\n87128 100000\n19748 29744\n160 233\n1683 2532\n40664 61157\n91752 100000\n41898 63006\n50667 76067\n67649 100000\n84279 100000\n53211 79880\n45256 68013\n69409 100000\n65390 98078\n39011 58689\n84293 100000\n75530 100000\n6377 9574\n59282 88931\n61432 92172\n46723 70188\n54818 82243\n25081 37805\n28706 43221\n84010 100000\n97414 100000\n97206 100000\n31378 47258\n55614 83454\n20628 31069\n40443 60826\n88363 100000\n85368 100000\n1472 2215\n51049 76629\n15040 22648\n38728 58256\n15962 24050\n38575 58035\n12130 18248\n20041 30185\n16800 25297\n83561 100000\n96951 100000\n15631 23550\n30158 45441\n99181 100000\n7325 11004\n52517 78837\n15747 23720\n80204 100000\n47318 71081\n45448 68291\n96327 100000\n48825 73311\n2701 4082\n32142 48406\n63242 94851\n22989 34644\n57927 86897\n15965 24055\n58912 88373\n35952 54072\n35545 53458\n11165 16801\n40494 60905\n33131 49895\n11515 17330\n33439 50344\n92598 100000\n56567 84855\n32814 49406\n34064 51279\n64266 96388\n69361 100000\n65611 98415\n51009 76572\n53432 80204\n42741 64257\n58801 88207\n81113 100000\n20770 31293\n9068 13624\n93913 100000\n99689 100000\n53819 80764\n85478 100000\n52054 78137\n77178 100000\n17490 26349\n24287 36604\n90186 100000\n89397 100000\n60122 90204\n11106 16718\n384 562\n57640 86454\n29561 44518\n95863 100000\n6631 9952\n42800 64339\n34518 51947\n27410 41273\n18508 27896\n44337 66632\n52812 79277\n18833 28381\n83639 100000\n30812 46406\n44456 66809\n72214 100000\n54266 81417\n22871 34458\n8549 12835\n44385 66708\n88408 100000\n17851 26891\n88941 100000\n8946 13441\n74825 100000\n57825 86738\n55124 82711\n9351 14054\n39374 59242\n92363 100000\n58733 88097\n1940 2928\n87518 100000\n3688 5565\n7209 10830\n68339 100000\n99024 100000\n8274 12424\n71827 100000\n82976 100000\n72473 100000\n55876 83829\n33974 51149\n30579 46061\n10007 15054\n2650 4004\n58458 87674\n99414 100000\n51476 77261\n55178 82792\n12934 19480\n94877 100000\n96116 100000\n22932 34550\n90660 100000\n67173 100000\n56889 85343\n40556 61002\n33666 50687\n3613 5454\n50695 76106\n40530 60961\n53950 80954\n13098 19730\n68536 100000\n72574 100000\n83992 100000\n13527 20364\n28142 42374\n74441 100000\n96073 100000\n91537 100000\n59827 89761\n41575 62524\n73859 100000\n50131 75268\n67497 100000\n19375 29183\n61305 91986\n66725 100000\n52301 78513\n38920 58554\n95588 100000\n22326 33651\n59915 89893\n81079 100000\n77909 100000\n78804 100000\n37387 56227\n43513 65411\n48186 72359\n70216 100000\n21505 32421\n28626 43098\n94311 100000\n69184 100000\n96767 100000\n62129 93202\n43180 64906\n19677 29636\n8464 12705\n39941 60076\n61392 92112\n96863 100000\n4647 7008\n81148 100000\n48050 72166\n22938 34559\n64312 96457\n54695 82055\n10322 15524\n24163 36418\n40833 61412\n44578 66995\n79830 100000\n41038 61727\n40030 60216\n56624 84944\n57721 86578\n64790 97179\n95266 100000\n85273 100000\n36961 55588\n33043 49764\n79699 100000\n29199 43974\n34464 51868\n65160 97734\n95638 100000\n32079 48310\n96557 100000\n88542 100000\n21806 32869\n44620 67060\n52836 79313\n23884 36001\n13016 19604\n99658 100000\n5615 8429\n69822 100000\n91684 100000\n62628 93935\n88564 100000\n10358 15581\n8717 13089\n19914 29994\n17079 25731\n23597 35569\n84171 100000\n69536 100000\n29761 44831\n70026 100000\n72468 100000\n1925 2903\n88701 100000\n57263 85908\n71414 100000\n39331 59175\n99676 100000\n9443 14195\n27287 41096\n59527 89304\n75855 100000\n3556 5367\n35813 53864\n58539 87794\n54444 81686\n8709 13077\n15864 23909\n43343 65160\n40804 61371\n35103 52811\n17335 26120\n89087 100000\n96913 100000\n44510 66895\n18654 28119\n61959 92946\n17929 27014\n12010 18061\n25416 38306\n41533 62468\n67665 100000\n6833 10258\n47118 70789\n50994 76548\n8975 13485\n49286 74004\n22519 33932\n55001 82520\n97504 100000\n11838 17809\n84153 100000\n10613 15955\n1564 2348\n13803 20783\n63792 95691\n76553 100000\n84915 100000\n63190 94774\n90657 100000\n82994 100000\n63877 95818\n37086 55777\n70022 100000\n26535 39976\n17551 26444\n85658 100000\n76003 100000\n6650 9981\n26837 40428\n79428 100000\n6413 9627\n35654 53615\n51865 77863\n46106 69258\n4904 7395\n9833 14784\n26054 39259\n19259 29013\n92506 100000\n36273 54555\n54782 82187\n50355 75595\n9384 14104\n59696 89551\n73077 100000\n37911 57026\n21811 32877\n86800 100000\n39566 59521\n47826 71835\n13757 20714\n63629 95446\n655 981\n890 1330\n32135 48395\n57110 85675\n93549 100000\n39079 58788\n67076 100000\n55913 83888\n27762 41804\n96770 100000\n64136 96197\n52729 79151\n92708 100000\n5598 8404\n9291 13961\n48156 72313\n68832 100000\n66453 99674\n32928 49582\n85976 100000\n34653 52148\n25825 38936\n91593 100000\n373 544\n58107 87166\n48068 72192\n67672 100000\n96961 100000\n3394 5133\n12156 18293\n41159 61915\n15783 23775\n12599 18956\n27665 41662\n46808 70309\n61153 91753\n45569 68460\n70421 100000\n59462 89206\n178 257\n5097 7670\n11670 17561\n59679 89524\n51995 78055\n55814 83744\n56070 84125\n63426 95129\n57019 85539\n31610 47608\n95432 100000\n46338 69614\n69446 100000\n42632 64099\n68969 100000\n77348 100000\n928 1388\n91077 100000\n58063 87101\n53674 80549\n69365 100000\n87903 100000\n8636 12966\n70347 100000\n23751 35801\n324 466\n62854 94264\n93713 100000\n30450 45871\n46483 69829\n10983 16533\n84731 100000\n98794 100000\n18459 27819\n46527 69895\n12206 18364\n59131 88707\n51267 76953\n46679 70117\n26820 40401\n11144 16773\n16566 24951\n49595 74482\n82701 100000\n6120 9189\n64558 96829\n31673 47699\n87561 100000\n43375 65211\n59065 88608\n60118 90198\n30968 46633\n5403 8113\n69959 100000\n7146 10734\n81678 100000\n23149 34889\n74318 100000\n43220 64968\n963 1439\n77339 100000\n8397 12603\n25353 38207\n59348 89031\n19898 29970\n85143 100000\n60268 90421\n9552 14361\n60932 91417\n8747 13137\n76863 100000\n80909 100000\n93726 100000\n4537 6841\n35096 52799\n15059 22676\n48073 72199\n28468 42863\n33567 50536\n47518 71383\n55120 82704\n81436 100000\n19013 28642\n16213 24429\n80259 100000\n56908 85368\n63760 95641\n37160 55890\n56664 85003\n90338 100000\n2133 3228\n82424 100000\n48199 72380\n63212 94804\n63083 94609\n1416 2125\n46185 69377\n34607 52078\n34572 52025\n28203 42467\n51211 76871\n46628 70043\n19648 29590\n69700 100000\n34477 51888\n98299 100000\n19970 30081\n46498 69853\n15558 23442\n54686 82044\n86193 100000\n14554 21910\n41065 61767\n57536 86307\n25725 38782\n33590 50570\n24370 36729\n68098 100000\n11221 16882\n22134 33365\n2668 4032\n89807 100000\n49476 74294\n69011 100000\n60527 90812\n74424 100000\n36057 54225\n20368 30669\n62122 93192\n63030 94523\n22476 33870\n50864 76360\n5422 8141\n10508 15801\n38171 57431\n19038 28676\n38931 58571\n82566 100000\n57234 85860\n17570 26473\n22855 34433\n97676 100000\n1001 1495\n44974 67589\n21861 32956\n94525 100000\n73464 100000\n50289 75502\n6567 9856\n77726 100000\n850 1270\n65780 98652\n97110 100000\n85190 100000\n74656 100000\n69504 100000\n97589 100000\n19347 29144\n99481 100000\n42834 64388\n93931 100000\n64278 96406\n9539 14342\n10618 15963\n16955 25537\n62862 94275\n56197 84315\n78821 100000\n17198 25917\n26910 40543\n62479 93717\n51207 76865\n51077 76669\n23365 35211\n56102 84174\n87859 100000\n90461 100000\n64228 96331\n63253 94869\n88989 100000\n87217 100000\n2777 4208\n89555 100000\n98911 100000\n9862 14825\n43795 65821\n73167 100000\n75558 100000\n77791 100000\n26546 39995\n2073 3134\n69611 100000\n55981 83988\n22698 34196\n21158 31890\n12233 18404\n38646 58133\n92584 100000\n50933 76464\n54670 82019\n1046 1561\n98690 100000\n1669 2512\n2171 3286\n77148 100000\n23792 35864\n88737 100000\n26692 40208\n9625 14469\n48553 72912\n5647 8477\n62335 93509\n71541 100000\n16841 25357\n45508 68377\n3060 4628\n82478 100000\n33462 50378\n59434 89160\n14718 22156\n50851 76343\n9565 14381\n70255 100000\n54985 82496\n67827 100000\n34946 52571\n20397 30711\n41026 61708\n75658 100000\n29494 44414\n12248 18428\n14455 21760\n7275 10927\n89666 100000\n49121 73753\n66677 100000\n19123 28805\n76846 100000\n90126 100000\n78944 100000\n55970 83972\n35800 53844\n95931 100000\n97933 100000\n26630 40115\n24969 37639\n48501 72834\n83418 100000\n29113 43840\n59241 88865\n91436 100000\n99130 100000\n32663 49180\n41110 61836\n43645 65606\n52512 78828\n45631 68555\n94371 100000\n14398 21669\n64672 96996\n19650 29594\n90578 100000\n97438 100000\n66410 99610\n48049 72164\n77016 100000\n67600 100000\n9352 14055\n25422 38315\n30323 45683\n56305 84467\n51807 77775\n38379 57744\n92387 100000\n98282 100000\n23612 35590\n85289 100000\n66426 99634\n59488 89246\n95846 100000\n11020 16583\n49613 74507\n29804 44890\n17125 25800\n90804 100000\n6446 9682\n98775 100000\n39407 59288\n6792 10199\n25998 39177\n21213 31972\n18928 28516\n15992 24095\n88264 100000\n54943 82436\n80152 100000\n99068 100000\n21776 32823\n43737 65730\n58153 87231\n60588 90904\n60912 91390\n58532 87785\n300 434\n19858 29906\n3588 5416\n17114 25784\n41714 62732\n96278 100000\n14760 22219\n81321 100000\n81750 100000\n37691 56680\n9540 14343\n65979 98959\n91108 100000\n94251 100000\n14188 21361\n28924 43554\n17794 26810\n48190 72365\n63271 94895\n23104 34822\n38329 57673\n77143 100000\n92616 100000\n13187 19863\n49100 73720\n89561 100000\n60304 90474\n46105 69256\n54458 81709\n92330 100000\n88662 100000\n51299 76998\n25622 38624\n95011 100000\n69758 100000\n54312 81485\n29909 45050\n86713 100000\n47965 72042\n46160 69342\n59204 88813\n84842 100000\n97724 100000\n51697 77605\n64796 97189\n12789 19257\n77556 100000\n59474 89224\n37932 57059\n72674 100000\n121 177\n81175 100000\n41682 62687\n68717 100000\n69761 100000\n92195 100000\n48189 72364\n81482 100000\n34118 51361\n60111 90186\n84799 100000\n89619 100000\n78491 100000\n83281 100000\n80788 100000\n53952 80956\n42623 64083\n69425 100000\n14233 21427\n98447 100000\n69123 100000\n10260 15435\n24911 37557\n45452 68297\n27897 42007\n48171 72334\n31013 46699\n91862 100000\n22745 34267\n12033 18095\n58461 87679\n13397 20176\n60165 90273\n73714 100000\n65632 98448\n26849 40445\n91659 100000\n6483 9736\n12099 18199\n22081 33291\n61886 92842\n29851 44968\n61162 91767\n10214 15367\n15980 24078\n533 789\n24549 36990\n32315 48668\n18588 28020\n52440 78722\n59212 88823\n51722 77643\n44808 67348\n68210 100000\n64550 96817\n88889 100000\n71077 100000\n91190 100000\n15056 22670\n51774 77722\n25976 39146\n45114 67804\n82884 100000\n40338 60670\n58282 87421\n38359 57714\n96263 100000\n16056 24193\n37841 56918\n29036 43726\n17554 26447\n71294 100000\n97028 100000\n92589 100000\n79288 100000\n85134 100000\n75957 100000\n42449 63828\n77910 100000\n55465 83231\n54840 82274\n14763 22222\n71426 100000\n73797 100000\n18922 28508\n9234 13873\n67252 100000\n25179 37944\n70237 100000\n99017 100000\n33994 51179\n57848 86772\n4141 6249\n65991 98977\n57672 86498\n52690 79095\n42665 64147\n54016 81053\n45922 68977\n67924 100000\n15896 23953\n18244 27491\n86305 100000\n46993 70596\n53279 79980\n14547 21898\n98025 100000\n7 10\n81044 100000\n8496 12759\n47719 71671\n55892 83856\n29887 45017\n98226 100000\n27137 40870\n29515 44448\n31722 47774\n30824 46419\n51356 77079\n57352 86043\n8449 12680\n88516 100000\n18037 27173\n57720 86576\n83319 100000\n70448 100000\n56124 84205\n45682 68629\n72279 100000\n6535 9811\n57307 85977\n33918 51070\n94513 100000\n3378 5111\n37961 57101\n8890 13357\n14644 22049\n59730 89606\n50857 76350\n42810 64353\n62200 93312\n84455 100000\n39470 59382\n50950 76486\n68910 100000\n49891 74907\n88611 100000\n67604 100000\n78746 100000\n721 1080\n99719 100000\n20752 31268\n92714 100000\n12984 19557\n57893 86841\n32894 49529\n44668 67132\n90329 100000\n84254 100000\n60185 90302\n5406 8117\n18428 27772\n72119 100000\n87177 100000\n39948 60086\n83603 100000\n36433 54799\n66933 100000\n66644 99953\n9870 14836\n10539 15845\n270 386\n5664 8505\n90166 100000\n44897 67475\n88350 100000\n91697 100000\n13544 20390\n64868 97292\n24826 37429\n26235 39526\n25903 39050\n41056 61752\n90372 100000\n37653 56622\n20540 30930\n33267 50094\n79241 100000\n88070 100000\n74234 100000\n36609 55073\n37003 55654\n31577 47559\n23702 35727\n77059 100000\n65725 98577\n91042 100000\n87202 100000\n75161 100000\n64894 97334\n86853 100000\n61909 92879\n44410 66743\n89077 100000\n65300 97942\n76039 100000\n13952 21008\n21298 32107\n71000 100000\n44272 66536\n81970 100000\n82944 100000\n60139 90230\n94841 100000\n2758 4175\n67783 100000\n40243 60521\n9937 14941\n45321 68108\n45424 68259\n13690 20612\n48289 72515\n89343 100000\n35458 53340\n14530 21874\n34596 52060\n96574 100000\n83352 100000\n38558 58012\n29233 44020\n77683 100000\n73631 100000\n56755 85140\n56022 84053\n66541 99806\n49287 74005\n56256 84402\n16593 24991\n71007 100000\n90058 100000\n47176 70873\n17141 25826\n53187 79845\n28272 42570\n10522 15823\n8746 13136\n93825 100000\n44733 67233\n21989 33153\n31978 48160\n96510 100000\n73734 100000\n8532 12808\n18941 28535\n9557 14369\n25006 37689\n47748 71714\n81622 100000\n1218 1821\n88801 100000\n43305 65104\n85202 100000\n36966 55597\n96309 100000\n76068 100000\n11629 17495\n77415 100000\n57335 86018\n6624 9939\n73186 100000\n30295 45642\n10849 16316\n97426 100000\n75826 100000\n11785 17732\n78107 100000\n42126 63346\n16806 25307\n15152 22819\n40690 61197\n57773 86662\n68981 100000\n12986 19560\n77775 100000\n65270 97896\n53030 79613\n21841 32925\n16216 24433\n43268 65045\n22857 34436\n40459 60853\n7229 10860\n14038 21142\n62932 94378\n97235 100000\n70833 100000\n55664 83529\n91991 100000\n71552 100000\n94843 100000\n90309 100000\n64098 96140\n66376 99561\n93774 100000\n21665 32662\n62928 94370\n91315 100000\n41283 62096\n77718 100000\n4908 7402\n31818 47918\n39444 59339\n35971 54099\n40325 60650\n39653 59658\n97955 100000\n2212 3350\n15728 23693\n55193 82815\n10964 16503\n12800 19277\n62239 93369\n52623 78999\n65683 98518\n5152 7751\n24338 36682\n77645 100000\n91861 100000\n89423 100000\n83706 100000\n8572 12870\n36880 55467\n59690 89541\n70687 100000\n92893 100000\n2290 3466\n63548 95315\n45675 68617\n30641 46155\n45169 67888\n5952 8949\n56424 84647\n33539 50492\n81895 100000\n86874 100000\n34208 51492\n54820 82245\n13399 20179\n30483 45918\n50828 76307\n28742 43279\n3337 5048\n70163 100000\n25083 37808\n39109 58835\n59197 88805\n97376 100000\n83604 100000\n10583 15911\n4035 6088\n17434 26265\n86112 100000\n26844 40438\n98769 100000\n39357 59215\n2972 4496\n13982 21051\n72695 100000\n7344 11033\n98301 100000\n60767 91186\n86553 100000\n64153 96223\n51782 77733\n96505 100000\n15328 23089\n61596 92410\n39389 59264\n65040 97547\n29143 43883\n28460 42849\n72101 100000\n72682 100000\n54799 82214\n17382 26184\n40635 61116\n56300 84462\n17043 25676\n20840 31407\n46392 69698\n97662 100000\n7554 11352\n92450 100000\n14122 21270\n32164 48440\n74765 100000\n89374 100000\n69389 100000\n89424 100000\n3010 4554\n24857 37474\n10553 15870\n55163 82771\n45859 68889\n20351 30643\n66208 99309\n95305 100000\n21242 32019\n94946 100000\n27429 41304\n88029 100000\n54048 81096\n60931 91415\n90733 100000\n7409 11132\n79102 100000\n44396 66725\n12495 18796\n10881 16366\n90622 100000\n89189 100000\n49952 74994\n56218 84348\n7935 11922\n15420 23233\n40696 61205\n80287 100000\n82544 100000\n44277 66542\n63558 95330\n15521 23383\n95137 100000\n89294 100000\n29575 44539\n68685 100000\n45466 68315\n40947 61583\n29395 44265\n23441 35324\n24862 37482\n51902 77915\n48966 73521\n57098 85657\n90510 100000\n28901 43519\n46654 70080\n32773 49342\n44877 67447\n21801 32863\n65556 98332\n80099 100000\n76795 100000\n96367 100000\n62814 94209\n15610 23517\n37494 56387\n14500 21828\n68270 100000\n93918 100000\n45660 68595\n93314 100000\n30542 46004\n12885 19406\n64750 97114\n28338 42665\n42918 64517\n80441 100000\n76360 100000\n56216 84344\n21270 32062\n95076 100000\n11524 17344\n95764 100000\n75980 100000\n7830 11762\n94333 100000\n75475 100000\n41505 62423\n76346 100000\n10343 15558\n28759 43304\n75397 100000\n97288 100000\n91812 100000\n26381 39746\n15447 23271\n59047 88582\n97155 100000\n78039 100000\n54572 81880\n20569 30976\n6893 10343\n71232 100000\n72667 100000\n70494 100000\n84895 100000\n54545 81842\n63102 94637\n2387 3609\n10825 16282\n30049 45267\n74897 100000\n71277 100000\n64512 96762\n46511 69874\n34228 51518\n61883 92838\n99186 100000\n39931 60061\n55556 83365\n83748 100000\n31516 47467\n68119 100000\n25237 38034\n52921 79444\n12311 18521\n84872 100000\n26139 39388\n72910 100000\n13385 20160\n6043 9076\n95271 100000\n78558 100000\n96382 100000\n44990 67613\n88613 100000\n10455 15728\n34315 51654\n24501 36920\n63227 94828\n91360 100000\n15116 22761\n17579 26489\n70323 100000\n7352 11047\n72596 100000\n36539 54956\n23056 34745\n9153 13752\n63714 95575\n20657 31113\n76521 100000\n57843 86765\n74938 100000\n18565 27986\n61812 92728\n12822 19313\n99893 100000\n48817 73300\n37024 55687\n33609 50600\n5680 8528\n44357 66665\n24943 37600\n27836 41913\n27234 41019\n32237 48551\n32374 48754\n52938 79468\n17508 26378\n57578 86361\n98278 100000\n97822 100000\n2406 3636\n60865 91320\n45099 67781\n54187 81301\n93943 100000\n87175 100000\n95422 100000\n17879 26935\n32808 49399\n66427 99636\n3232 4891\n23881 35998\n13161 19829\n1179 1760\n66011 99002\n72181 100000\n69297 100000\n44054 66210\n94415 100000\n49046 73638\n91152 100000\n78256 100000\n85877 100000\n38768 58321\n48314 72549\n87719 100000\n35965 54089\n12086 18179\n5423 8143\n23226 35005\n32693 49223\n55974 83978\n25394 38274\n60846 91294\n82848 100000\n86132 100000\n31056 46764\n13102 19736\n80915 100000\n22481 33877\n72902 100000\n27120 40845\n59052 88589\n26782 40340\n14239 21434\n56212 84338\n71696 100000\n27642 41621\n55663 83528\n60886 91351\n68697 100000\n37573 56504\n75110 100000\n59868 89821\n79225 100000\n4910 7406\n96431 100000\n47207 70920\n15118 22764\n7689 11553\n58841 88267\n71803 100000\n7645 11486\n92642 100000\n50551 75891\n84025 100000\n53363 80103\n33723 50774\n10847 16313\n6737 10115\n67042 100000\n22531 33948\n36946 55565\n28857 43452\n31897 48039\n43980 66102\n63260 94880\n47004 70612\n66727 100000\n37410 56261\n44262 66518\n26512 39943\n26582 40046\n58405 87598\n74397 100000\n13557 20412\n47101 70766\n69934 100000\n31489 47427\n38100 57323\n62921 94361\n13210 19895\n54267 81418\n30852 46460\n11432 17205\n18890 28462\n75470 100000\n71108 100000\n39842 59936\n76641 100000\n63949 95918\n67693 100000\n26350 39697\n99074 100000\n87477 100000\n92932 100000\n83892 100000\n80805 100000\n99261 100000\n55071 82627\n44056 66212\n94291 100000\n61038 91578\n47128 70805\n94691 100000\n12615 18981\n5412 8127\n64673 96997\n65378 98059\n29497 44419\n23585 35551\n99028 100000\n92984 100000\n19054 28697\n46564 69949\n15036 22641\n70902 100000\n78957 100000\n26234 39524\n6485 9738\n96001 100000\n73831 100000\n68240 100000\n47469 71309\n17805 26828\n28596 43055\n14946 22507\n34343 51694\n70762 100000\n79010 100000\n17143 25829\n37073 55760\n91271 100000\n21334 32165\n87688 100000\n79201 100000\n15347 23125\n79381 100000\n94324 100000\n48008 72104\n49176 73841\n61294 91969\n94303 100000\n87848 100000\n73044 100000\n73532 100000\n14783 22254\n95587 100000\n91649 100000\n49721 74660\n74437 100000\n6360 9550\n22395 33749\n92976 100000\n71759 100000\n11268 16956\n11765 17701\n78550 100000\n68325 100000\n81798 100000\n78096 100000\n28560 42998\n26045 39243\n88344 100000\n65762 98628\n98812 100000\n32453 48866\n55762 83666\n43306 65106\n19162 28866\n6429 9652\n4975 7494\n66881 100000\n61813 92729\n11407 17169\n54925 82405\n67881 100000\n43292 65082\n64321 96470\n17306 26078\n65276 97905\n9263 13919\n24267 36573\n74460 100000\n56016 84045\n62494 93737\n28508 42922\n70641 100000\n95776 100000\n53742 80652\n97102 100000\n9529 14326\n83825 100000\n74830 100000\n42036 63211\n97853 100000\n95171 100000\n7674 11532\n46963 70549\n25685 38724\n72396 100000\n67432 100000\n83651 100000\n99428 100000\n56742 85125\n36952 55574\n77174 100000\n38084 57297\n29493 44412\n46937 70506\n85388 100000\n17583 26494\n72409 100000\n51593 77442\n70218 100000\n33106 49861\n25023 37711\n61408 92135\n40601 61068\n16180 24381\n79488 100000\n37321 56127\n73497 100000\n55803 83726\n17773 26779\n50854 76347\n72209 100000\n77676 100000\n5216 7846\n27614 41584\n72428 100000\n25723 38779\n50260 75459\n29364 44221\n44314 66596\n97138 100000\n57933 86907\n36959 55585\n74929 100000\n56773 85166\n48981 73545\n39122 58858\n52818 79286\n68570 100000\n10748 16164\n49285 74003\n2173 3290\n99668 100000\n19000 28622\n90412 100000\n89867 100000\n38410 57791\n52866 79358\n15238 22949\n32380 48764\n15930 24005\n51776 77725\n96839 100000\n11294 16997\n94361 100000\n80616 100000\n41849 62934\n14119 21265\n48877 73383\n39610 59589\n56143 84232\n1297 1945\n14430 21719\n73334 100000\n77201 100000\n56387 84594\n6988 10491\n28439 42819\n69730 100000\n83304 100000\n29831 44937\n90117 100000\n39559 59510\n71508 100000\n27080 40783\n91150 100000\n52421 78696\n17057 25696\n61482 92243\n63621 95433\n29768 44840\n12119 18230\n70388 100000\n16982 25580\n16427 24744\n25398 38279\n65371 98048\n14424 21710\n50279 75486\n14722 22162\n36329 54641\n66553 99822\n58504 87742\n26759 40308\n73806 100000\n37071 55758\n50092 75204\n18227 27466\n76303 100000\n41641 62625\n67037 100000\n19749 29745\n25498 38431\n79302 100000\n82139 100000\n97669 100000\n91975 100000\n58590 87870\n11299 17004\n19112 28787\n34399 51773\n56879 85325\n94544 100000\n80444 100000\n2824 4283\n9620 14461\n95134 100000\n9446 14200\n20053 30203\n80229 100000\n77207 100000\n40310 60628\n62911 94347\n52055 78139\n67159 100000\n8863 13314\n21415 32286\n40398 60760\n55675 83543\n17246 25991\n59327 88999\n19609 29535\n25776 38861\n8483 12739\n40495 60906\n29475 44387\n2068 3125\n10524 15825\n10027 15084\n81412 100000\n19169 28878\n21940 33080\n47175 70872\n59183 88782\n16392 24695\n67223 100000\n71268 100000\n90846 100000\n18314 27600\n19065 28714\n75932 100000\n76322 100000\n95112 100000\n34167 51431\n31779 47859\n16339 24619\n78738 100000\n2022 3057\n42106 63316\n26447 39850\n38208 57487\n94928 100000\n60508 90783\n31189 46972\n57279 85933\n50213 75388\n38780 58339\n67204 100000\n73091 100000\n16167 24363\n4464 6729\n83732 100000\n98669 100000\n81437 100000\n18601 28040\n91629 100000\n41649 62634\n61546 92335\n10469 15747\n52511 78827\n97400 100000\n32455 48869\n2799 4244\n68593 100000\n59998 90012\n28642 43122\n46282 69530\n49794 74767\n44761 67278\n42571 64006\n82076 100000\n660 989\n2731 4129\n12738 19174\n76249 100000\n46776 70264\n32590 49077\n86494 100000\n75577 100000\n48087 72219\n99393 100000\n94067 100000\n93144 100000\n93815 100000\n80632 100000\n1790 2701\n36918 55523\n337 487\n76534 100000\n42022 63191\n13332 20081\n44828 67377\n40992 61653\n84521 100000\n43474 65350\n89442 100000\n8610 12926\n91830 100000\n43021 64670\n58478 87705\n78087 100000\n63507 95247\n18977 28586\n42223 63487\n23107 34828\n54969 82473\n65967 98941\n38355 57710\n65194 97788\n25213 37994\n59739 89619\n21394 32253\n15073 22699\n73137 100000\n97616 100000\n58769 88157\n1733 2610\n53802 80740\n9629 14476\n90656 100000\n19312 29095\n9329 14019\n7657 11506\n32253 48572\n41987 63140\n40629 61108\n68051 100000\n24738 37287\n31309 47154\n95602 100000\n28737 43270\n75782 100000\n58362 87541\n41340 62181\n45229 67974\n73740 100000\n96881 100000\n60339 90530\n81911 100000\n65016 97513\n7551 11349\n52145 78280\n88782 100000\n10985 16535\n29859 44978\n11698 17605\n84172 100000\n5296 7958\n25618 38616\n56014 84042\n25675 38706\n10498 15788\n74707 100000\n99120 100000\n1941 2930\n19939 30032\n49853 74851\n25090 37819\n51729 77655\n93215 100000\n57223 85844\n99141 100000\n94640 100000\n35212 52974\n5442 8172\n608 909\n7020 10536\n3752 5665\n23269 35068\n69454 100000\n96551 100000\n51801 77766\n49991 75048\n21048 31718\n29543 44490\n75967 100000\n86727 100000\n588 876\n58642 87950\n34491 51909\n5076 7639\n90086 100000\n71103 100000\n33524 50467\n74720 100000\n16687 25135\n59572 89370\n58398 87587\n4453 6713\n24397 36769\n88396 100000\n68940 100000\n53491 80282\n76028 100000\n10075 15158\n44811 67352\n99000 100000\n73080 100000\n59148 88730\n59051 88587\n66059 99077\n26209 39485\n96032 100000\n16096 24256\n21367 32219\n37616 56568\n7793 11706\n78249 100000\n80080 100000\n78553 100000\n59200 88809\n80435 100000\n35124 52841\n55466 83233\n5503 8259\n70733 100000\n266 380\n39476 59390\n41897 63004\n35202 52959\n59575 89376\n11452 17238\n38673 58173\n6500 9762\n98017 100000\n67300 100000\n37132 55847\n20662 31119\n40967 61614\n75072 100000\n42445 63822\n85767 100000\n43894 65966\n80501 100000\n78726 100000\n61634 92468\n85826 100000\n46683 70124\n83015 100000\n47407 71212\n39504 59430\n68698 100000\n28659 43147\n5082 7648\n26262 39564\n95870 100000\n11206 16860\n10682 16066\n89604 100000\n78837 100000\n14598 21977\n50813 76282\n97179 100000\n82741 100000\n5649 8480\n97328 100000\n9958 14975\n17336 26121\n74838 100000\n87045 100000\n17914 26990\n99690 100000\n6127 9201\n43633 65590\n97016 100000\n50612 75986\n53449 80228\n59062 88604\n73432 100000\n65889 98816\n32837 49442\n1679 2526\n54282 81443\n43202 64943\n90293 100000\n90270 100000\n61655 92499\n27330 41159\n4029 6078\n99226 100000\n91470 100000\n88077 100000\n97117 100000\n70564 100000\n50239 75425\n98471 100000\n8030 12061\n55021 82549\n1599 2406\n8241 12377\n29929 45079\n6365 9556\n75582 100000\n44433 66777\n23210 34980\n84917 100000\n65605 98404\n99693 100000\n13279 20002\n97889 100000\n83726 100000\n23789 35859\n5314 7983\n17010 25623\n29582 44550\n14802 22283\n19978 30091\n35861 53939\n29308 44137\n84353 100000\n53181 79836\n42355 63682\n27557 41499\n76461 100000\n81594 100000\n97219 100000\n57297 85963\n98484 100000\n69678 100000\n95393 100000\n154 224\n12925 19465\n66740 100000\n98979 100000\n50681 76086\n27623 41595\n42753 64272\n95515 100000\n83971 100000\n15353 23134\n20591 31011\n87847 100000\n35717 53721\n79439 100000\n74084 100000\n55642 83496\n64197 96288\n3182 4813\n59651 89486\n20118 30298\n10276 15458\n66492 99732\n49027 73610\n70039 100000\n84232 100000\n47859 71884\n80848 100000\n30543 46006\n90124 100000\n61789 92695\n65274 97901\n57577 86359\n39053 58750\n73930 100000\n46244 69468\n9936 14939\n32799 49384\n58185 87278\n35048 52725\n86107 100000\n60716 91102\n18295 27571\n81765 100000\n71794 100000\n38128 57364\n50211 75384\n91513 100000\n7712 11585\n47367 71154\n79565 100000\n15691 23646\n1979 2986\n49343 74097\n76703 100000\n76635 100000\n52706 79118\n93308 100000\n23491 35402\n79726 100000\n64571 96847\n36975 55612\n57082 85630\n71262 100000\n19826 29850\n15111 22754\n24207 36484\n72683 100000\n56187 84301\n70981 100000\n45960 69040\n35809 53859\n26140 39389\n19405 29228\n45120 67813\n16439 24763\n15714 23674\n26587 40055\n46943 70516\n41993 63149\n46926 70488\n10621 15967\n60585 90899\n48925 73458\n22473 33865\n55742 83638\n8448 12678\n50270 75474\n57706 86555\n79112 100000\n38763 58313\n41942 63073\n70192 100000\n73913 100000\n45771 68757\n80967 100000\n13727 20667\n67836 100000\n10789 16225\n58061 87098\n43255 65026\n49424 74216\n81715 100000\n51755 77696\n27963 42096\n8561 12851\n26396 39770\n95031 100000\n32895 49531\n12704 19122\n91494 100000\n37176 55912\n23456 35347\n13725 20664\n19005 28630\n52718 79138\n61 88\n33252 50073\n2268 3435\n19603 29525\n39062 58759\n91602 100000\n76743 100000\n64012 96014\n25535 38488\n90687 100000\n22507 33912\n35513 53418\n51383 77120\n68864 100000\n56410 84627\n87013 100000\n64367 96543\n81066 100000\n88329 100000\n92633 100000\n93591 100000\n74920 100000\n21245 32023\n9348 14049\n3017 4562\n65488 98236\n13198 19879\n56863 85301\n39877 59989\n9400 14130\n3174 4801\n18188 27404\n3943 5950\n39256 59057\n98150 100000\n97196 100000\n29676 44697\n95948 100000\n24730 37276\n48319 72558\n87087 100000\n90362 100000\n12066 18146\n53557 80379\n89799 100000\n47314 71077\n86023 100000\n83802 100000\n37659 56630\n47289 71037\n32210 48512\n10420 15674\n50653 76046\n10492 15778\n99964 100000\n79111 100000\n46520 69885\n58945 88424\n72188 100000\n77623 100000\n99529 100000\n89467 100000\n32571 49051\n32531 48988\n47382 71177\n88970 100000\n25698 38742\n70282 100000\n10627 15975\n9063 13617\n37011 55665\n86337 100000\n18807 28341\n21193 31944\n88784 100000\n76341 100000\n19901 29974\n76767 100000\n76148 100000\n30346 45717\n22759 34289\n7486 11256\n68798 100000\n30720 46276\n79405 100000\n18627 28077\n36458 54837\n18281 27549\n54924 82404\n68968 100000\n75432 100000\n40568 61018\n93278 100000\n33554 50515\n55918 83894\n97802 100000\n94315 100000\n45769 68754\n80199 100000\n9258 13912\n73 107\n99429 100000\n8678 13032\n80558 100000\n54280 81441\n11157 16790\n74890 100000\n83013 100000\n372 543\n81928 100000\n99184 100000\n96045 100000\n73974 100000\n26288 39604\n65705 98551\n28711 43229\n43762 65769\n7798 11714\n2302 3486\n97361 100000\n61342 92037\n33963 51135\n74940 100000\n63210 94802\n22977 34625\n82335 100000\n46559 69941\n24354 36704\n89755 100000\n3325 5028\n79464 100000\n70964 100000\n23889 36009\n21059 31737\n68762 100000\n25919 39074\n6497 9758\n85398 100000\n58623 87922\n18650 28112\n46817 70323\n49982 75035\n88554 100000\n62535 93798\n90238 100000\n53894 80873\n63917 95873\n35605 53544\n60615 90948\n85941 100000\n88576 100000\n67699 100000\n27190 40952\n89769 100000\n10416 15669\n95325 100000\n89542 100000\n53037 79623\n55063 82615\n17014 25629\n35981 54112\n95895 100000\n79658 100000\n13502 20331\n46653 70078\n43995 66125\n11154 16785\n88159 100000\n7360 11058\n51556 77387\n9892 14871\n52167 78313\n64648 96961\n48909 73432\n28329 42652\n71741 100000\n88106 100000\n46684 70126\n27651 41639\n32539 49000\n7603 11423\n54845 82280\n29490 44408\n97829 100000\n18477 27846\n60432 90666\n98444 100000\n54058 81109\n30318 45676\n75510 100000\n97642 100000\n63094 94627\n56211 84337\n192 278\n6568 9858\n86140 100000\n48636 73026\n53055 79648\n67304 100000\n79869 100000\n40425 60800\n67737 100000\n87018 100000\n71293 100000\n317 456\n38824 58408\n82564 100000\n93751 100000\n86157 100000\n11058 16640\n18315 27602\n49220 73911\n25865 38991\n87966 100000\n55185 82802\n79906 100000\n70458 100000\n88577 100000\n18872 28433\n91601 100000\n17319 26096\n46504 69863\n74563 100000\n97076 100000\n49773 74734\n91702 100000\n11413 17178\n3005 4547\n93941 100000\n8200 12319\n68761 100000\n8045 12086\n7524 11305\n42550 63977\n10907 16410\n63283 94913\n39701 59728\n82423 100000\n50402 75663\n43015 64661\n21160 31894\n16746 25217\n45998 69097\n45572 68464\n94879 100000\n5366 8060\n22714 34220\n13657 20562\n36105 54298\n70831 100000\n73343 100000\n33039 49760\n35956 54078\n28060 42245\n72609 100000\n46617 70027\n77559 100000\n19011 28639\n66614 99915\n51130 76748\n96794 100000\n96752 100000\n44822 67368\n40241 60518\n50286 75498\n41402 62275\n39630 59618\n81171 100000\n23642 35634\n31956 48126\n11252 16929\n95094 100000\n49978 75029\n25464 38384\n40409 60778\n8452 12685\n41553 62495\n17610 26537\n9860 14822\n50685 76091\n66765 100000\n9522 14314\n38378 57743\n68950 100000\n52716 79135\n98590 100000\n75839 100000\n85807 100000\n99729 100000\n7611 11436\n18945 28541\n79879 100000\n4255 6415\n23277 35080\n80797 100000\n22472 33864\n68960 100000\n32346 48714\n30752 46323\n38021 57199\n41102 61822\n68291 100000\n56953 85438\n3370 5098\n41567 62513\n75689 100000\n53193 79854\n26525 39960\n30535 45994\n47317 71080\n45710 68669\n92604 100000\n86740 100000\n84346 100000\n91397 100000\n497 734\n23403 35265\n98673 100000\n91380 100000\n71030 100000\n9247 13895\n92368 100000\n81767 100000\n96694 100000\n45885 68926\n54977 82484\n7490 11261\n41334 62175\n74132 100000\n88048 100000\n38642 58127\n44309 66588\n14345 21586\n56648 84978\n19681 29641\n33383 50260\n93512 100000\n10299 15490\n82615 100000\n77204 100000\n18013 27139\n7744 11635\n64188 96272\n51767 77711\n64773 97153\n78622 100000\n92953 100000\n54538 81831\n6268 9414\n64702 97041\n23595 35566\n48779 73243\n81484 100000\n25762 38840\n43631 65587\n45694 68646\n66225 99334\n54433 81668\n99420 100000\n53976 80994\n4294 6473\n49814 74793\n92570 100000\n826 1237\n37212 55967\n12948 19500\n58144 87220\n27969 42104\n99250 100000\n61053 91600\n184 265\n35185 52935\n50389 75646\n38205 57482\n79014 100000\n68338 100000\n41080 61789\n57395 86105\n80138 100000\n81525 100000\n309 446\n74573 100000\n14044 21151\n94788 100000\n37016 55673\n1550 2326\n37882 56984\n89412 100000\n84725 100000\n66944 100000\n52385 78640\n78195 100000\n76878 100000\n86747 100000\n64417 96620\n49171 73835\n63344 95005\n91232 100000\n81074 100000\n3975 5998\n3585 5412\n95405 100000\n17775 26782\n81316 100000\n70013 100000\n28891 43503\n99220 100000\n74517 100000\n33041 49762\n18226 27465\n88927 100000\n59237 88859\n40046 60237\n66872 100000\n39405 59284\n38910 58538\n2726 4122\n1093 1630\n75756 100000\n65002 97489\n51160 76794\n7542 11333\n48713 73142\n35774 53804\n98633 100000\n34075 51297\n42796 64333\n58520 87767\n15324 23082\n45718 68682\n97063 100000\n64862 97283\n89736 100000\n71144 100000\n85318 100000\n19520 29402\n58166 87250\n45425 68261\n56123 84204\n37104 55803\n46142 69314\n22057 33252\n94782 100000\n11186 16829\n19522 29405\n42162 63398\n42354 63680\n7076 10624\n78686 100000\n70174 100000\n16131 24312\n53295 80006\n68410 100000\n41773 62821\n94439 100000\n53478 80265\n47504 71362\n9091 13658\n47700 71644\n20893 31484\n83745 100000\n90254 100000\n62641 93955\n44524 66916\n81936 100000\n99324 100000\n78714 100000\n75094 100000\n65613 98418\n28543 42972\n71151 100000\n80899 100000\n88308 100000\n88789 100000\n59068 88612\n35304 53106\n98021 100000\n73278 100000\n35586 53515\n48967 73523\n77509 100000\n52141 78274\n27873 41968\n96250 100000\n81394 100000\n14338 21575\n12305 18511\n66650 99962\n35589 53520\n28819 43396\n49603 74493\n10797 16237\n16613 25021\n56589 84892\n74423 100000\n64273 96398\n65848 98754\n51158 76792\n43844 65891\n66890 100000\n35801 53846\n6316 9488\n78459 100000\n22049 33241\n35730 53741\n42893 64478\n34732 52262\n69763 100000\n3661 5525\n7592 11407\n35373 53211\n83563 100000\n71494 100000\n19447 29289\n99474 100000\n30030 45241\n30768 46344\n38830 58419\n14605 21987\n23151 34892\n37475 56360\n99368 100000\n96264 100000\n76032 100000\n3667 5534\n93843 100000\n42896 64483\n76165 100000\n5223 7857\n46769 70255\n43177 64901\n50901 76418\n86631 100000\n45910 68961\n32273 48606\n48150 72305\n28643 43123\n29504 44429\n93840 100000\n13892 20922\n88093 100000\n69110 100000\n344 499\n43248 65013\n80293 100000\n35778 53811\n32231 48544\n76885 100000\n9608 14445\n38239 57532\n36246 54512\n93917 100000\n98516 100000\n95688 100000\n55303 82986\n41383 62246\n85802 100000\n11619 17481\n15418 23230\n78739 100000\n85056 100000\n85214 100000\n33156 49930\n87173 100000\n37510 56408\n99903 100000\n28927 43559\n88533 100000\n64267 96389\n2329 3522\n87810 100000\n34434 51825\n52529 78858\n95490 100000\n81582 100000\n57754 86631\n70566 100000\n76415 100000\n68846 100000\n29579 44545\n43943 66046\n87089 100000\n50675 76078\n31535 47497\n95073 100000\n16671 25110\n76634 100000\n57681 86514\n97722 100000\n32479 48909\n50640 76028\n52410 78678\n5211 7839\n30170 45457\n58127 87196\n40826 61401\n82832 100000\n20176 30385\n56167 84274\n52099 78205\n77538 100000\n52263 78454\n70642 100000\n81387 100000\n94829 100000\n23973 36131\n70624 100000\n21953 33102\n3479 5258\n36385 54726\n71895 100000\n64941 97396\n25300 38129\n49868 74873\n44151 66354\n29976 45160\n20638 31083\n42244 63517\n18779 28298\n14216 21402\n45669 68610\n79400 100000\n68310 100000\n12076 18163\n72096 100000\n74048 100000\n35768 53795\n22338 33668\n25650 38668\n13924 20969\n86883 100000\n76949 100000\n27008 40683\n75574 100000\n58809 88221\n17211 25938\n59428 89153\n93423 100000\n1770 2671\n90943 100000\n33214 50012\n29402 44275\n77373 100000\n49216 73904\n10582 15910\n46101 69251\n15253 22971\n74280 100000\n30966 46630\n99578 100000\n68414 100000\n77580 100000\n88367 100000\n78199 100000\n87188 100000\n1677 2524\n98857 100000\n8715 13087\n60876 91337\n16652 25081\n48461 72766\n11591 17440\n34932 52551\n86499 100000\n61327 92016\n24649 37141\n83741 100000\n4136 6240\n82137 100000\n43285 65072\n74927 100000\n75010 100000\n86646 100000\n38220 57506\n50846 76336\n8088 12151\n46094 69240\n84726 100000\n3036 4592\n92783 100000\n99821 100000\n18603 28043\n96079 100000\n15499 23351\n57613 86412\n16298 24556\n60091 90156\n29918 45062\n32878 49502\n42637 64107\n52749 79182\n45505 68374\n91688 100000\n45298 68075\n67549 100000\n58036 87057\n92670 100000\n51073 76664\n45110 67798\n62497 93740\n43604 65545\n66294 99442\n1421 2134\n22637 34102\n44925 67512\n82404 100000\n80804 100000\n61847 92785\n61547 92336\n1432 2150\n72034 100000\n98506 100000\n89184 100000\n75262 100000\n11454 17240\n27749 41787\n13276 19998\n96105 100000\n1164 1736\n32240 48554\n23254 35044\n69060 100000\n93982 100000\n57796 86699\n73794 100000\n44152 66356\n99564 100000\n36294 54588\n68441 100000\n71418 100000\n95795 100000\n89950 100000\n44546 66946\n49152 73803\n39779 59844\n24247 36543\n92876 100000\n69163 100000\n15769 23753\n90769 100000\n38880 58494\n80379 100000\n36822 55380\n54065 81121\n4271 6435\n41057 61754\n15127 22778\n13119 19764\n41602 62564\n25105 37838\n92066 100000\n98073 100000\n27355 41194\n17417 26238\n85989 100000\n90081 100000\n46802 70300\n97946 100000\n63045 94550\n91359 100000\n76436 100000\n59383 89085\n12256 18438\n74176 100000\n20302 30570\n13318 20060\n76125 100000\n94205 100000\n44691 67170\n41356 62202\n12643 19025\n13216 19906\n12182 18328\n32990 49681\n42262 63544\n47259 70993\n45411 68239\n68067 100000\n6625 9940\n61405 92130\n37821 56890\n45867 68900\n51459 77234\n51655 77539\n78523 100000\n76094 100000\n94913 100000\n83478 100000\n27179 40935\n81325 100000\n295 427\n44323 66608\n21881 32988\n77661 100000\n21523 32449\n14754 22208\n64335 96490\n98695 100000\n5836 8767\n47081 70735\n63614 95421\n785 1177\n93002 100000\n21946 33089\n85313 100000\n15419 23232\n38743 58280\n67399 100000\n41490 62403\n51366 77094\n9802 14737\n66383 99570\n97459 100000\n65448 98171\n16063 24204\n2656 4014\n64627 96930\n6835 10261\n60682 91046\n43443 65306\n56581 84879\n97917 100000\n76281 100000\n88124 100000\n99861 100000\n37150 55874\n60626 90964\n39112 58841\n86556 100000\n65602 98400\n88641 100000\n7093 10648\n2661 4022\n18804 28337\n51462 77239\n85553 100000\n4153 6266\n32460 48877\n52490 78795\n88528 100000\n51426 77184\n50502 75811\n68561 100000\n15490 23337\n31957 48128\n29642 44643\n94195 100000\n23865 35972\n52509 78824\n76489 100000\n67854 100000\n52903 79418\n34180 51451\n45447 68289\n16190 24397\n11036 16607\n4388 6616\n94318 100000\n16766 25247\n55672 83538\n61624 92452\n74006 100000\n55657 83519\n30551 46018\n35909 54007\n31183 46964\n89847 100000\n91177 100000\n37693 56684\n9709 14593\n456 674\n11408 17170\n73594 100000\n66552 99821\n66742 100000\n36671 55158\n34967 52601\n60106 90178\n29062 43766\n1827 2758\n4243 6399\n18624 28073\n67083 100000\n62881 94305\n42033 63207\n84628 100000\n56959 85448\n14548 21900\n75832 100000\n24165 36422\n46548 69925\n90361 100000\n67139 100000\n73775 100000\n82 121\n74193 100000\n45721 68686\n41697 62709\n2407 3637\n14318 21545\n31000 46682\n92335 100000\n13481 20303\n57790 86692\n65051 97562\n41892 62996\n93880 100000\n94189 100000\n59227 88845\n56073 84129\n32007 48200\n24782 37355\n76583 100000\n85441 100000\n11814 17775\n20099 30272\n12385 18629\n86696 100000\n77701 100000\n66045 99056\n76571 100000\n79422 100000\n36399 54746\n94903 100000\n53862 80828\n69071 100000\n32183 48471\n87279 100000\n33410 50298\n44750 67262\n70826 100000\n22122 33351\n3367 5093\n69294 100000\n77197 100000\n71087 100000\n40306 60622\n56619 84937\n99567 100000\n72772 100000\n64940 97395\n37788 56838\n24478 36887\n3881 5851\n49381 74153\n98708 100000\n31571 47551\n16068 24212\n49616 74511\n52020 78089\n12936 19484\n54136 81219\n65953 98918\n30713 46264\n11788 17737\n41271 62075\n78616 100000\n41619 62589\n12382 18624\n12610 18974\n83770 100000\n12306 18513\n83506 100000\n48795 73268\n12063 18142\n37345 56160\n52901 79415\n4723 7121\n36695 55192\n27842 41921\n82241 100000\n12691 19103\n96149 100000\n82187 100000\n93183 100000\n96311 100000\n56534 84812\n91557 100000\n36801 55349\n54787 82194\n45334 68130\n15098 22734\n87829 100000\n50929 76459\n85349 100000\n98371 100000\n37576 56508\n16330 24607\n92058 100000\n30576 46058\n93837 100000\n1204 1800\n3552 5363\n48883 73391\n63074 94596\n78788 100000\n74775 100000\n92858 100000\n86405 100000\n66097 99138\n62407 93612\n68077 100000\n10979 16528\n129 188\n56269 84418\n45696 68649\n42415 63773\n26890 40511\n8279 12432\n4544 6852\n78598 100000\n50586 75942\n48993 73563\n16735 25203\n32334 48698\n36783 55323\n20355 30648\n43760 65766\n47311 71071\n84329 100000\n36303 54601\n37371 56204\n95228 100000\n47263 71000\n72043 100000\n86619 100000\n26427 39815\n21496 32408\n65663 98489\n57965 86954\n98359 100000\n69251 100000\n70551 100000\n44254 66505\n56590 84893\n37915 57031\n43909 65989\n78960 100000\n55357 83073\n77194 100000\n21751 32784\n39050 58745\n63972 95952\n61222 91858\n75969 100000\n72504 100000\n79875 100000\n71821 100000\n61479 92239\n96549 100000\n41280 62091\n21758 32796\n88481 100000\n89696 100000\n54822 82249\n99163 100000\n16238 24469\n37280 56070\n73852 100000\n7714 11589\n40414 60785\n26527 39963\n15130 22783\n636 954\n43183 64912\n88849 100000\n68118 100000\n59633 89459\n57070 85612\n4119 6215\n36222 54475\n34779 52330\n88335 100000\n77418 100000\n1293 1940\n73019 100000\n39246 59040\n10310 15508\n17443 26280\n24094 36318\n5825 8750\n84763 100000\n58306 87458\n47850 71869\n85308 100000\n31515 47466\n34559 52005\n61184 91799\n2666 4029\n68428 100000\n25412 38300\n99621 100000\n39257 59059\n48991 73560\n46678 70115\n76868 100000\n72432 100000\n57188 85791\n31193 46978\n78546 100000\n97260 100000\n46708 70163\n83589 100000\n71342 100000\n96616 100000\n8538 12817\n4656 7021\n32813 49405\n34677 52183\n3848 5798\n86246 100000\n40909 61525\n31549 47518\n93264 100000\n47660 71588\n46521 69887\n68572 100000\n75192 100000\n51124 76738\n15483 23326\n77771 100000\n61942 92923\n55273 82940\n6006 9023\n69038 100000\n4430 6678\n58849 88278\n16891 25437\n57440 86173\n93684 100000\n65703 98548\n15954 24041\n93922 100000\n24691 37210\n2272 3441\n67721 100000\n59793 89702\n10742 16155\n7640 11479\n43370 65202\n11049 16626\n64173 96251\n31025 46717\n64316 96462\n932 1392\n66169 99253\n56473 84720\n83135 100000\n67868 100000\n74139 100000\n17056 25695\n59737 89616\n12483 18780\n66640 99948\n34710 52230\n94945 100000\n3632 5483\n66036 99044\n53649 80513\n86014 100000\n29366 44224\n49252 73959\n81708 100000\n82941 100000\n63156 94720\n83719 100000\n96056 100000\n90624 100000\n44485 66854\n39902 60023\n5441 8170\n95333 100000\n6806 10218\n67488 100000\n53005 79573\n36769 55302\n83147 100000\n90747 100000\n86071 100000\n48375 72643\n90740 100000\n69154 100000\n39714 59746\n30000 45193\n1460 2197\n51373 77104\n17528 26406\n53426 80195\n25829 38942\n20786 31319\n44466 66824\n46291 69546\n73698 100000\n55073 82630\n21376 32231\n65561 98340\n38018 57193\n74543 100000\n24799 37386\n9278 13942\n97937 100000\n58407 87602\n9420 14159\n69786 100000\n58022 87037\n10922 16434\n53882 80854\n68019 100000\n39822 59909\n77569 100000\n307 443\n77284 100000\n98512 100000\n73355 100000\n23739 35783\n36509 54912\n8670 13017\n10478 15759\n55479 83253\n85888 100000\n87502 100000\n75616 100000\n65047 97556\n30744 46314\n3201 4843\n52413 78683\n12690 19101\n22148 33387\n39876 59987\n27776 41827\n43748 65746\n92975 100000\n5419 8138\n9733 14632\n17055 25694\n62627 93934\n1147 1712\n37172 55907\n17940 27027\n14591 21966\n59845 89788\n28611 43077\n50214 75390\n43690 65667\n31714 47764\n63048 94555\n92034 100000\n18989 28603\n66964 100000\n74149 100000\n58894 88346\n7678 11539\n93916 100000\n57951 86934\n2670 4035\n67703 100000\n82081 100000\n59935 89920\n58374 87556\n20164 30369\n967 1445\n31701 47745\n4735 7141\n18194 27415\n15928 24003\n33678 50705\n33135 49901\n41208 61989\n76421 100000\n1695 2553\n63220 94817\n52998 79561\n1394 2094\n77548 100000\n94910 100000\n85855 100000\n85784 100000\n56208 84332\n68490 100000\n58675 88000\n92473 100000\n66782 100000\n59254 88886\n77483 100000\n75714 100000\n69405 100000\n27737 41768\n50288 75501\n35327 53141\n63634 95454\n60582 90893\n15628 23546\n27783 41838\n77342 100000\n29383 44247\n24341 36685\n44701 67185\n24072 36285\n81699 100000\n94705 100000\n36170 54396\n51730 77657\n83687 100000\n64771 97149\n62010 93026\n94392 100000\n12226 18395\n78007 100000\n43388 65229\n39413 59298\n71706 100000\n10477 15758\n40897 61511\n77783 100000\n62666 93997\n708 1061\n92925 100000\n65519 98283\n92001 100000\n74023 100000\n86917 100000\n41754 62793\n22320 33644\n10870 16349\n63987 95976\n67403 100000\n12430 18695\n37824 56894\n55940 83926\n10453 15725\n29462 44363\n47399 71201\n36366 54698\n55753 83652\n66406 99603\n55497 83279\n95900 100000\n45816 68827\n82113 100000\n61920 92892\n28474 42871\n15731 23696\n16564 24949\n98286 100000\n24813 37408\n3715 5608\n15524 23387\n36455 54833\n9597 14427\n67688 100000\n95261 100000\n41751 62787\n50602 75970\n42801 64341\n35249 53026\n11192 16841\n83996 100000\n2819 4275\n43765 65773\n20779 31310\n56650 84982\n95199 100000\n57570 86350\n73385 100000\n54069 81126\n45123 67817\n47814 71816\n36245 54510\n36903 55502\n67810 100000\n17310 26084\n79119 100000\n51546 77373\n31022 46714\n5780 8678\n33291 50131\n76170 100000\n25154 37908\n87729 100000\n53543 80357\n74108 100000\n56427 84652\n33661 50678\n94240 100000\n47370 71158\n71252 100000\n81257 100000\n18961 28563\n8460 12698\n48806 73282\n65077 97602\n23272 35073\n43861 65916\n89537 100000\n96519 100000\n48253 72461\n44231 66469\n89352 100000\n15807 23819\n37408 56258\n62799 94186\n23785 35852\n55387 83116\n73790 100000\n13955 21012\n28576 43022\n38835 58428\n54099 81167\n79330 100000\n98215 100000\n46729 70196\n18745 28252\n76570 100000\n53413 80175\n30995 46674\n54868 82317\n90336 100000\n58070 87110\n29059 43762\n12185 18332\n70118 100000\n59283 88933\n43628 65583\n2039 3080\n49584 74464\n77166 100000\n97313 100000\n73591 100000\n13498 20325\n82873 100000\n83099 100000\n12196 18348\n51975 78026\n45573 68466\n86015 100000\n44912 67494\n19809 29825\n47471 71312\n7937 11924\n64450 96670\n55478 83251\n87203 100000\n64008 96007\n29439 44330\n67333 100000\n49418 74206\n67645 100000\n28339 42667\n7222 10849\n94030 100000\n90344 100000\n97585 100000\n61796 92704\n83804 100000\n80617 100000\n50128 75262\n49704 74634\n8793 13209\n43120 64819\n14905 22443\n61204 91829\n53659 80527\n47349 71128\n2148 3250\n28618 43087\n24289 36607\n95603 100000\n5194 7815\n65660 98486\n92047 100000\n1722 2594\n38792 58359\n21612 32581\n1771 2672\n78880 100000\n49410 74194\n38609 58082\n27770 41817\n87369 100000\n77280 100000\n98398 100000\n64581 96863\n1426 2142\n8848 13293\n14622 22013\n58196 87293\n1139 1700\n75833 100000\n21204 31959\n12395 18642\n87801 100000\n69772 100000\n48466 72774\n65973 98949\n54803 82222\n34201 51482\n47809 71809\n2695 4073\n21860 32954\n36102 54295\n35414 53275\n48123 72263\n22422 33791\n27060 40752\n58970 88464\n90577 100000\n8478 12729\n18537 27942\n69332 100000\n95121 100000\n10622 15968\n66643 99952\n60470 90725\n84298 100000\n30076 45314\n44015 66155\n4536 6839\n13117 19760\n6687 10040\n50833 76316\n30515 45967\n12823 19315\n19633 29569\n55768 83674\n3861 5819\n30735 46298\n32758 49318\n53019 79596\n55795 83714\n65894 98825\n21066 31747\n38334 57680\n28021 42178\n29866 44988\n58402 87593\n32189 48480\n16432 24752\n5531 8300\n28476 42873\n49251 73957\n22204 33470\n9928 14927\n31247 47056\n32920 49570\n64203 96299\n69537 100000\n14996 22583\n49611 74505\n98551 100000\n54953 82450\n27686 41692\n85093 100000\n80614 100000\n46265 69503\n86343 100000\n49208 73890\n11786 17734\n42091 63293\n73977 100000\n12867 19375\n62198 93309\n64911 97356\n32655 49169\n50618 75996\n78159 100000\n72015 100000\n14234 21428\n65071 97592\n6375 9571\n11660 17546\n29165 43921\n13794 20771\n48644 73039\n75979 100000\n6177 9276\n72063 100000\n28008 42157\n31190 46974\n10436 15697\n91945 100000\n68523 100000\n25208 37988\n59799 89713\n34156 51414\n63805 95710\n60247 90394\n94547 100000\n80401 100000\n39856 59960\n21441 32323\n2968 4490\n30987 46662\n40017 60193\n78518 100000\n88960 100000\n34544 51984\n29540 44485\n53916 80905\n62094 93149\n46875 70411\n44745 67253\n3428 5186\n45752 68730\n48469 72779\n97561 100000\n24309 36639\n23928 36063\n7620 11448\n94045 100000\n85414 100000\n89601 100000\n89210 100000\n29592 44566\n43311 65113\n84146 100000\n93133 100000\n54349 81543\n38752 58295\n21401 32264\n88345 100000\n34486 51901\n70538 100000\n88748 100000\n70099 100000\n90701 100000\n72471 100000\n98529 100000\n23810 35892\n16359 24649\n56107 84181\n95715 100000\n25030 37723\n91851 100000\n37808 56869\n20884 31469\n7601 11420\n60366 90569\n18709 28199\n52399 78662\n20292 30555\n56408 84624\n59729 89604\n89583 100000\n10387 15628\n89411 100000\n47501 71358\n38197 57471\n57492 86241\n27189 40951\n85131 100000\n92907 100000\n87088 100000\n48705 73131\n17276 26035\n15796 23799\n37053 55730\n87096 100000\n47663 71592\n19398 29217\n56989 85493\n39019 58700\n18918 28501\n16952 25532\n15259 22979\n13562 20420\n97150 100000\n72871 100000\n88130 100000\n67996 100000\n29503 44428\n93950 100000\n65085 97615\n46234 69452\n48870 73375\n97812 100000\n9506 14292\n85507 100000\n86580 100000\n889 1328\n17222 25955\n21393 32252\n21439 32320\n86034 100000\n98693 100000\n44542 66941\n9925 14924\n72072 100000\n77528 100000\n646 968\n73903 100000\n50858 76351\n31008 46692\n32115 48366\n43469 65342\n85882 100000\n76580 100000\n21474 32376\n49898 74918\n61544 92332\n60837 91281\n15724 23689\n38034 57219\n93422 100000\n43457 65324\n87594 100000\n65280 97912\n4207 6344\n52366 78612\n53029 79612\n44889 67465\n82206 100000\n86937 100000\n54311 81483\n88813 100000\n9724 14617\n86973 100000\n17474 26327\n39910 60035\n33842 50952\n87499 100000\n57560 86338\n68871 100000\n2339 3535\n38055 57249\n89797 100000\n99416 100000\n94044 100000\n92928 100000\n56673 85017\n43598 65537\n79860 100000\n17815 26842\n38511 57937\n58434 87639\n43509 65404\n43377 65213\n64113 96163\n3647 5504\n49910 74934\n66130 99190\n55870 83823\n14247 21443\n32506 48952\n51740 77673\n1055 1574\n44434 66778\n33546 50501\n9782 14704\n50394 75652\n19972 30083\n36590 55042\n53461 80242\n30022 45230\n1856 2803\n14370 21627\n71752 100000\n24031 36227\n69843 100000\n21616 32588\n69428 100000\n36723 55230\n9923 14922\n86773 100000\n12137 18260\n11368 17110\n25009 37694\n42909 64505\n3603 5438\n689 1030\n50162 75316\n44001 66135\n96029 100000\n82858 100000\n82817 100000\n54039 81084\n36819 55375\n7736 11624\n46988 70588\n15297 23038\n80385 100000\n45486 68347\n24918 37567\n99377 100000\n85943 100000\n6340 9521\n90015 100000\n13587 20455\n61114 91697\n30899 46527\n4857 7324\n30403 45799\n6972 10465\n57124 85696\n96303 100000\n57512 86272\n70051 100000\n82401 100000\n10223 15382\n14441 21735\n60371 90577\n13592 20463\n1534 2302\n24603 37073\n88498 100000\n58835 88259\n41523 62451\n31351 47216\n78460 100000\n51979 78031\n56308 84471\n39477 59391\n31982 48167\n52108 78219\n10155 15275\n74937 100000\n8019 12047\n17412 26229\n3197 4837\n97517 100000\n4514 6805\n16383 24682\n77780 100000\n24816 37414\n94357 100000\n10775 16203\n48105 72241\n28179 42434\n39874 59984\n97111 100000\n80265 100000\n1056 1576\n49827 74813\n80895 100000\n97901 100000\n41142 61888\n21406 32273\n35125 52842\n20481 30842\n78612 100000\n1696 2555\n16308 24572\n50518 75838\n17684 26648\n25120 37863\n17977 27084\n12682 19088\n53871 80839\n37637 56601\n72002 100000\n57311 85984\n88494 100000\n68108 100000\n16661 25095\n62770 94145\n37589 56532\n12241 18417\n73626 100000\n50339 75574\n75238 100000\n7251 10892\n50642 76030\n51855 77849\n17685 26650\n9031 13571\n53488 80278\n61013 91542\n2899 4396\n29707 44745\n75663 100000\n36043 54202\n73135 100000\n2543 3847\n52261 78451\n35138 52860\n62128 93201\n80513 100000\n24075 36290\n64183 96266\n75916 100000\n58295 87439\n76139 100000\n26112 39346\n91963 100000\n85023 100000\n5215 7845\n31486 47423\n69424 100000\n46328 69598\n9784 14707\n7734 11621\n95142 100000\n40655 61145\n31916 48067\n80254 100000\n65999 98988\n67527 100000\n58663 87981\n6261 9403\n43945 66050\n64836 97245\n20027 30165\n1010 1508\n73201 100000\n23666 35672\n12189 18338\n33837 50945\n33785 50868\n11810 17770\n39251 59048\n39186 58955\n64116 96168\n54142 81229\n7013 10526\n71622 100000\n89090 100000\n67929 100000\n54937 82425\n68062 100000\n74029 100000\n91563 100000\n94624 100000\n99648 100000\n71912 100000\n49547 74405\n80985 100000\n5375 8072\n34792 52347\n97505 100000\n86024 100000\n32429 48829\n84779 100000\n95347 100000\n73441 100000\n949 1417\n90554 100000\n70190 100000\n11832 17801\n38713 58231\n82488 100000\n20663 31121\n29110 43837\n93772 100000\n64455 96675\n41168 61927\n89157 100000\n70177 100000\n12639 19017\n62618 93918\n1033 1543\n3444 5208\n72489 100000\n40673 61170\n79639 100000\n34887 52485\n20198 30416\n2396 3621\n68608 100000\n97602 100000\n52124 78246\n35693 53681\n62288 93439\n12396 18643\n20728 31230\n362 527\n44970 67583\n26554 40006\n46691 70137\n77087 100000\n10438 15700\n55326 83020\n70095 100000\n18909 28488\n96495 100000\n39131 58870\n57876 86817\n23838 35932\n58279 87415\n87093 100000\n43437 65297\n6924 10392\n36989 55632\n28285 42590\n28401 42760\n83059 100000\n55623 83467\n43771 65781\n20550 30946\n76695 100000\n24412 36791\n96748 100000\n5865 8815\n18196 27418\n86581 100000\n30686 46224\n40993 61655\n38289 57612\n43873 65933\n68701 100000\n71300 100000\n71483 100000\n71607 100000\n19985 30102\n77886 100000\n4696 7080\n81601 100000\n31249 47059\n41442 62332\n32676 49198\n80162 100000\n45082 67753\n94816 100000\n95109 100000\n78623 100000\n5641 8468\n98460 100000\n14355 21603\n68300 100000\n54438 81675\n9909 14898\n97000 100000\n86449 100000\n74148 100000\n88943 100000\n86423 100000\n3372 5101\n65309 97955\n57753 86629\n85210 100000\n47939 71998\n15135 22791\n37461 56337\n60982 91495\n71553 100000\n59475 89226\n25077 37798\n5587 8386\n74302 100000\n75344 100000\n87897 100000\n68221 100000\n58017 87029\n79546 100000\n77301 100000\n55301 82984\n84927 100000\n34520 51950\n17402 26214\n73101 100000\n41472 62377\n91246 100000\n83041 100000\n65995 98983\n76352 100000\n33241 50058\n42531 63949\n305 440\n87796 100000\n92259 100000\n24586 37048\n63269 94893\n4609 6951\n21700 32708\n78870 100000\n81557 100000\n26986 40652\n94679 100000\n83480 100000\n13820 20809\n85116 100000\n12810 19293\n85177 100000\n96357 100000\n97051 100000\n36129 54332\n20792 31329\n14756 22212\n67492 100000\n69220 100000\n48816 73298\n34495 51915\n39732 59774\n86898 100000\n45797 68799\n93089 100000\n21854 32945\n4298 6478\n66423 99629\n76093 100000\n23240 35022\n22628 34089\n30308 45661\n58369 87550\n8220 12348\n78979 100000\n31255 47067\n422 622\n21064 31744\n55764 83669\n85949 100000\n15408 23217\n86331 100000\n54941 82432\n84500 100000\n70996 100000\n59560 89354\n55936 83921\n72282 100000\n69280 100000\n1869 2819\n47678 71613\n80244 100000\n40355 60696\n71569 100000\n36710 55212\n86779 100000\n83260 100000\n98006 100000\n94527 100000\n88910 100000\n9746 14650\n94133 100000\n54206 81330\n10866 16342\n72395 100000\n25595 38578\n65120 97667\n98323 100000\n50171 75328\n88030 100000\n78298 100000\n9334 14026\n39903 60025\n40 56\n89204 100000\n81743 100000\n24682 37195\n57170 85763\n74488 100000\n14142 21299\n80554 100000\n72790 100000\n11673 17565\n56367 84560\n69206 100000\n7095 10651\n99515 100000\n36939 55555\n83936 100000\n88750 100000\n35141 52865\n59303 88964\n42716 64221\n50908 76429\n52058 78143\n50494 75800\n95410 100000\n79306 100000\n92848 100000\n77136 100000\n65535 98302\n3903 5886\n70792 100000\n78923 100000\n4012 6053\n12539 18863\n66592 99880\n49071 73679\n62837 94241\n75666 100000\n83692 100000\n24197 36469\n48 69\n87421 100000\n65163 97739\n90858 100000\n95865 100000\n98336 100000\n29682 44707\n39818 59903\n33570 50540\n71218 100000\n78414 100000\n82322 100000\n33759 50826\n91852 100000\n55943 83930\n95875 100000\n34643 52133\n16468 24806\n53485 80273\n55127 82716\n11436 17211\n3579 5401\n61000 91523\n74345 100000\n18773 28288\n92478 100000\n11496 17301\n4559 6875\n84457 100000\n1618 2435\n38861 58468\n30129 45394\n74212 100000\n47824 71833\n15409 23218\n48028 72134\n89732 100000\n93220 100000\n45902 68950\n95245 100000\n11594 17446\n81824 100000\n59720 89591\n24256 36557\n67368 100000\n47930 71987\n18507 27894\n85495 100000\n48975 73536\n82433 100000\n32366 48746\n98177 100000\n83219 100000\n64088 96127\n65468 98203\n43951 66060\n55681 83551\n12059 18136\n43146 64856\n30268 45605\n18298 27575\n81527 100000\n49624 74522\n20364 30662\n66491 99730\n40147 60385\n4313 6503\n67826 100000\n37684 56669\n54260 81410\n8090 12153\n93649 100000\n59542 89327\n93277 100000\n31064 46776\n78327 100000\n57469 86211\n12272 18464\n38307 57640\n50390 75647\n81094 100000\n77547 100000\n27773 41822\n75971 100000\n66134 99196\n64951 97413\n61617 92441\n5409 8123\n67010 100000\n41463 62363\n71898 100000\n969 1448\n98314 100000\n51406 77156\n60257 90406\n79144 100000\n31478 47410\n53033 79616\n28540 42966\n83021 100000\n41125 61861\n60579 90889\n44698 67182\n49646 74552\n18967 28572\n67142 100000\n66729 100000\n84191 100000\n34604 52073\n76188 100000\n8121 12198\n81055 100000\n65365 98039\n96637 100000\n99506 100000\n85306 100000\n39245 59038\n93240 100000\n73161 100000\n81701 100000\n59125 88697\n13160 19828\n68900 100000\n70803 100000\n47882 71918\n38738 58272\n61994 93002\n52438 78720\n23106 34826\n70932 100000\n16555 24934\n33906 51050\n43647 65609\n18557 27974\n98477 100000\n38162 57419\n29257 44059\n55512 83301\n22328 33654\n30625 46131\n34752 52292\n65972 98948\n29297 44120\n58943 88421\n9770 14687\n52993 79553\n22123 33352\n24671 37176\n40122 60347\n26952 40600\n29158 43910\n69406 100000\n81289 100000\n11078 16675\n10838 16300\n51374 77106\n94096 100000\n64693 97029\n8296 12458\n69808 100000\n8143 12237\n87947 100000\n13008 19592\n82989 100000\n13061 19671\n45023 67663\n69196 100000\n26784 40344\n54428 81660\n118 173\n88582 100000\n74745 100000\n71134 100000\n29771 44843\n98391 100000\n91262 100000\n77219 100000\n69084 100000\n52842 79322\n45420 68251\n79604 100000\n54696 82057\n89692 100000\n79619 100000\n77484 100000\n63854 95784\n70760 100000\n64031 96044\n52569 78925\n66401 99595\n37944 57078\n47247 70975\n9376 14089\n91772 100000\n19971 30082\n87926 100000\n14738 22183\n26109 39342\n4958 7473\n72088 100000\n91282 100000\n4677 7053\n62149 93234\n31764 47837\n34231 51522\n34800 52360\n59332 89007\n30931 46576\n18405 27734\n89620 100000\n55237 82883\n41217 62002\n10615 15958\n96393 100000\n16482 24826\n53325 80047\n28666 43159\n90497 100000\n5414 8130\n27486 41390\n49785 74753\n64138 96201\n94802 100000\n4659 7027\n82400 100000\n301 435\n1247 1866\n38674 58174\n4472 6740\n64379 96559\n40657 61148\n86203 100000\n90070 100000\n33229 50036\n60905 91380\n10999 16557\n50727 76155\n57473 86217\n20754 31270\n90170 100000\n64300 96439\n18082 27239\n48547 72903\n48529 72875\n39738 59783\n88416 100000\n52350 78589\n30648 46164\n7407 11128\n17726 26713\n12229 18398\n90776 100000\n81117 100000\n31431 47337\n27943 42071\n26309 39636\n4597 6933\n28117 42336\n82895 100000\n59357 89045\n96642 100000\n36454 54832\n71517 100000\n94191 100000\n57747 86620\n40275 60573\n74020 100000\n23959 36108\n17345 26131\n39264 59067\n78050 100000\n38457 57859\n90937 100000\n15632 23551\n80083 100000\n64896 97338\n2513 3803\n78072 100000\n61805 92719\n36506 54909\n29629 44625\n33563 50530\n31616 47616\n47062 70704\n907 1356\n40373 60724\n79823 100000\n77097 100000\n90209 100000\n89633 100000\n82077 100000\n65361 98032\n56051 84097\n73636 100000\n1318 1974\n75498 100000\n95822 100000\n21443 32327\n70484 100000\n32092 48330\n19357 29158\n98318 100000\n52983 79537\n89466 100000\n18645 28106\n77679 100000\n19244 28989\n45868 68902\n67546 100000\n18718 28213\n91485 100000\n74308 100000\n25966 39134\n56899 85357\n69719 100000\n71335 100000\n41429 62315\n46873 70408\n40586 61044\n95791 100000\n58018 87030\n37429 56289\n47255 70986\n87637 100000\n31043 46745\n88655 100000\n62208 93323\n84044 100000\n68654 100000\n17715 26694\n93527 100000\n14927 22479\n69568 100000\n29150 43895\n88227 100000\n78885 100000\n2086 3153\n30425 45832\n75548 100000\n31566 47544\n37426 56284\n78784 100000\n19167 28874\n64616 96914\n59987 89995\n39296 59116\n77732 100000\n38634 58116\n37819 56886\n25994 39171\n52047 78128\n76445 100000\n25917 39070\n29591 44564\n44605 67038\n9467 14232\n91992 100000\n91894 100000\n25923 39079\n54909 82382\n76061 100000\n95082 100000\n28175 42428\n33375 50248\n14879 22404\n75176 100000\n34909 52518\n64717 97066\n54524 81809\n98476 100000\n37832 56905\n73798 100000\n65364 98037\n18681 28158\n44826 67374\n22535 33954\n56890 85344\n53154 79801\n79761 100000\n62640 93953\n72972 100000\n53025 79606\n61837 92768\n53323 80045\n7569 11374\n78201 100000\n56205 84328\n39423 59311\n10769 16195\n15804 23814\n86441 100000\n75044 100000\n97141 100000\n55100 82671\n36130 54334\n58696 88032\n59101 88664\n81501 100000\n34453 51854\n57393 86102\n52484 78786\n77866 100000\n69091 100000\n12623 18992\n41699 62712\n57865 86798\n11827 17794\n58134 87205\n66919 100000\n2555 3866\n44936 67531\n55139 82732\n75704 100000\n26202 39477\n87682 100000\n50938 76469\n17232 25969\n11000 16558\n41244 62038\n94865 100000\n83040 100000\n47549 71427\n93717 100000\n26823 40404\n58786 88183\n22561 33993\n31036 46734\n20641 31088\n28045 42220\n78878 100000\n30989 46665\n72732 100000\n59016 88535\n56350 84535\n76048 100000\n59674 89517\n4418 6661\n20089 30258\n26564 40020\n63732 95599\n2696 4075\n60243 90387\n1697 2556\n3121 4723\n53535 80347\n73677 100000\n40613 61084\n23625 35608\n2054 3103\n77168 100000\n26629 40114\n73981 100000\n55044 82584\n78240 100000\n86636 100000\n82443 100000\n62986 94458\n71581 100000\n62716 94066\n87717 100000\n11650 17531\n41783 62834\n22856 34434\n72227 100000\n23442 35325\n97687 100000\n28490 42895\n55668 83533\n47144 70826\n79336 100000\n15189 22874\n32441 48847\n35701 53694\n614 918\n53327 80050\n83609 100000\n27389 41244\n8254 12396\n51489 77282\n66612 99911\n25511 38453\n20948 31562\n93518 100000\n55991 84005\n8985 13499\n93625 100000\n99348 100000\n60030 90061\n87995 100000\n89216 100000\n70739 100000\n86544 100000\n14629 22024\n23623 35604\n62751 94114\n76920 100000\n29500 44424\n51258 76939\n18799 28328\n82304 100000\n34485 51899\n1914 2886\n19485 29350\n20888 31475\n41726 62749\n48997 73567\n46079 69219\n23436 35317\n84519 100000\n64955 97419\n13269 19987\n37786 56835\n82629 100000\n88314 100000\n9741 14642\n81041 100000\n24729 37275\n55468 83235\n97996 100000\n57371 86071\n96501 100000\n73065 100000\n43930 66024\n2647 3999\n71651 100000\n40515 60935\n61481 92242\n94000 100000\n25947 39110\n48130 72273\n18854 28409\n83244 100000\n81029 100000\n87922 100000\n77601 100000\n75104 100000\n59843 89786\n22621 34080\n37271 56053\n87055 100000\n12097 18197\n27602 41565\n31165 46934\n55414 83159\n29202 43978\n55624 83469\n88259 100000\n76367 100000\n54681 82036\n2402 3631\n92225 100000\n81797 100000\n86037 100000\n59418 89138\n48258 72468\n31296 47135\n63914 95868\n50265 75466\n87322 100000\n57403 86117\n14769 22230\n25895 39039\n61192 91812\n92392 100000\n73358 100000\n8407 12619\n32584 49070\n4853 7318\n81030 100000\n36999 55647\n28108 42322\n72816 100000\n6419 9636\n93637 100000\n33671 50694\n33195 49985\n70947 100000\n41250 62044\n40057 60253\n40648 61133\n27320 41144\n15043 22652\n34345 51698\n13272 19991\n55279 82949\n58262 87391\n97893 100000\n70983 100000\n29238 44029\n62844 94249\n44874 67443\n59795 89706\n25408 38294\n77677 100000\n96065 100000\n76546 100000\n70253 100000\n71096 100000\n21572 32525\n43195 64932\n21759 32798\n71955 100000\n34200 51481\n55704 83586\n28208 42474\n85827 100000\n87403 100000\n34405 51782\n63406 95099\n97991 100000\n2623 3969\n66736 100000\n77774 100000\n3677 5549\n9689 14563\n24020 36210\n28215 42483\n63691 95539\n67687 100000\n57955 86940\n92983 100000\n81945 100000\n22212 33483\n79375 100000\n65033 97538\n14072 21193\n48984 73550\n82441 100000\n45037 67684\n77854 100000\n53322 80044\n14699 22125\n94404 100000\n9774 14694\n27497 41409\n93081 100000\n45741 68714\n43651 65615\n52304 78517\n70766 100000\n37742 56765\n98600 100000\n33975 51150\n79303 100000\n4005 6041\n19660 29608\n9948 14958\n30097 45347\n54699 82061\n8415 12631\n33886 51023\n56062 84113\n57581 86366\n55569 83388\n72690 100000\n30959 46618\n71421 100000\n32390 48775\n12187 18335\n69473 100000\n24566 37016\n75085 100000\n30554 46023\n30994 46673\n7492 11265\n76981 100000\n25242 38041\n29854 44971\n55838 83778\n14219 21406\n46740 70213\n41090 61805\n12316 18526\n52705 79117\n58463 87682\n21226 31992\n57079 85626\n79418 100000\n80087 100000\n99579 100000\n88644 100000\n98781 100000\n57914 86876\n4178 6304\n55964 83963\n85681 100000\n13306 20042\n21464 32361\n65432 98145\n24117 36350\n44454 66806\n16872 25408\n91487 100000\n27227 41009\n51765 77709\n89826 100000\n48955 73505\n22058 33253\n97844 100000\n34983 52625\n46047 69170\n51530 77348\n57526 86290\n53109 79731\n45501 68368\n88240 100000\n95192 100000\n93110 100000\n97399 100000\n33438 50343\n72960 100000\n71642 100000\n29977 45162\n34981 52623\n86663 100000\n4465 6730\n20627 31067\n77609 100000\n6714 10078\n61952 92937\n72320 100000\n59400 89112\n75887 100000\n35126 52843\n88051 100000\n3700 5584\n58876 88319\n49770 74730\n35600 53537\n20538 30927\n75850 100000\n57226 85848\n61658 92504\n84958 100000\n16690 25139\n78357 100000\n76856 100000\n29750 44816\n14575 21942\n35535 53446\n19555 29452\n82632 100000\n92032 100000\n5793 8697\n46614 70024\n57910 86870\n40408 60776\n81455 100000\n31010 46695\n66249 99372\n15247 22960\n68290 100000\n46803 70302\n35355 53182\n14839 22339\n27076 40776\n91676 100000\n23179 34936\n34898 52502\n3352 5072\n93812 100000\n71684 100000\n33390 50269\n26293 39611\n74686 100000\n68070 100000\n52435 78717\n74511 100000\n17635 26576\n50332 75565\n293 424\n35203 52961\n48043 72156\n16178 24379\n74470 100000\n35850 53921\n52334 78565\n9677 14544\n80969 100000\n31635 47643\n7096 10653\n32080 48312\n47514 71377\n55770 83677\n52312 78531\n8419 12636\n94011 100000\n58110 87171\n65582 98371\n71957 100000\n97338 100000\n80718 100000\n5553 8331\n12200 18354\n77092 100000\n78824 100000\n59801 89717\n63495 95231\n99027 100000\n6062 9102\n22862 34444\n80992 100000\n49004 73577\n23887 36006\n94622 100000\n13578 20442\n32288 48630\n41733 62759\n9512 14300\n9246 13893\n43333 65144\n41146 61894\n98042 100000\n67192 100000\n63399 95089\n17863 26910\n42160 63394\n21374 32228\n13345 20101\n97746 100000\n85383 100000\n76676 100000\n21463 32359\n12469 18754\n68055 100000\n39139 58883\n58575 87849\n76642 100000\n9717 14605\n30391 45782\n48756 73211\n93623 100000\n92609 100000\n38631 58112\n7314 10988\n23629 35614\n33387 50266\n27854 41938\n72849 100000\n89499 100000\n7124 10696\n76088 100000\n90048 100000\n73618 100000\n98832 100000\n43862 65918\n83901 100000\n80209 100000\n90427 100000\n41220 62006\n35230 53000\n24560 37005\n65075 97599\n47240 70966\n75960 100000\n22841 34409\n35029 52695\n81645 100000\n26900 40525\n34447 51846\n27315 41136\n68317 100000\n49484 74308\n40806 61374\n57664 86487\n53734 80640\n12262 18448\n87852 100000\n31207 46998\n7693 11558\n30160 45445\n98869 100000\n80097 100000\n40891 61503\n76348 100000\n7680 11542\n66382 99569\n33116 49875\n50094 75207\n6386 9587\n45473 68326\n44576 66992\n55928 83908\n89738 100000\n72842 100000\n76619 100000\n14388 21652\n17883 26941\n644 965\n63163 94731\n93864 100000\n98629 100000\n92545 100000\n4474 6743\n30953 46609\n42967 64588\n11558 17396\n58672 87996\n67073 100000\n9088 13653\n74704 100000\n53722 80625\n32767 49334\n57198 85807\n81312 100000\n60686 91052\n9266 13925\n76666 100000\n89211 100000\n68151 100000\n1144 1708\n53217 79889\n70125 100000\n46718 70180\n41024 61704\n7309 10979\n60325 90507\n46763 70248\n96494 100000\n15902 23962\n48091 72224\n3883 5854\n58574 87848\n20326 30603\n4456 6717\n84396 100000\n74436 100000\n2875 4357\n46496 69850\n81780 100000\n48549 72905\n14496 21822\n16688 25136\n99834 100000\n86794 100000\n72699 100000\n29141 43879\n85016 100000\n33280 50114\n65114 97659\n41219 62005\n79732 100000\n99854 100000\n55650 83508\n19466 29320\n82306 100000\n86054 100000\n68962 100000\n71153 100000\n65994 98981\n2359 3568\n66875 100000\n87715 100000\n43548 65464\n69584 100000\n88017 100000\n25151 37904\n44139 66334\n10306 15501\n38382 57749\n47867 71896\n87094 100000\n66041 99050\n87696 100000\n2588 3916\n40998 61664\n87600 100000\n99842 100000\n88612 100000\n41403 62276\n5354 8043\n2203 3338\n81458 100000\n99488 100000\n74014 100000\n77078 100000\n72469 100000\n67047 100000\n62158 93247\n29569 44531\n90941 100000\n5190 7808\n53713 80612\n50250 75441\n89669 100000\n96797 100000\n63234 94839\n70656 100000\n91969 100000\n54398 81616\n63726 95593\n54403 81624\n23004 34668\n10123 15229\n89050 100000\n46480 69824\n46001 69103\n52846 79330\n62533 93794\n30593 46085\n75400 100000\n73011 100000\n63433 95137\n3388 5126\n28707 43223\n90409 100000\n77752 100000\n63577 95362\n48152 72308\n86194 100000\n43676 65647\n33362 50231\n71299 100000\n50142 75284\n32749 49302\n62058 93096\n58929 88398\n81953 100000\n50982 76531\n50387 75642\n39071 58776\n4167 6287\n34836 52414\n26152 39407\n71059 100000\n40764 61313\n38809 58384\n2906 4404\n69474 100000\n85443 100000\n63501 95240\n35255 53033\n58710 88056\n70779 100000\n73381 100000\n17926 27008\n68785 100000\n23248 35034\n75447 100000\n15541 23415\n52322 78547\n38532 57972\n34319 51660\n66194 99290\n65945 98906\n20096 30268\n37677 56658\n97909 100000\n19222 28954\n45184 67906\n99033 100000\n52762 79202\n69776 100000\n18883 28449\n10080 15165\n64411 96609\n72335 100000\n94295 100000\n84465 100000\n49587 74469\n69354 100000\n33926 51082\n80546 100000\n62417 93628\n96991 100000\n14646 22053\n26134 39379\n84688 100000\n88449 100000\n55973 83976\n5606 8417\n70375 100000\n27691 41700\n21602 32565\n92825 100000\n73541 100000\n39120 58854\n54365 81570\n31491 47430\n1725 2598\n96965 100000\n83161 100000\n51726 77649\n2929 4434\n5536 8308\n87195 100000\n71390 100000\n93960 100000\n2548 3854\n63623 95437\n18456 27815\n65723 98574\n88378 100000\n4322 6518\n58493 87728\n31352 47217\n81219 100000\n68037 100000\n99651 100000\n2964 4483\n13092 19720\n92433 100000\n60796 91227\n73003 100000\n25437 38340\n80662 100000\n45271 68034\n89853 100000\n67325 100000\n27154 40895\n59233 88853\n18054 27199\n19225 28958\n16062 24202\n47616 71526\n24694 37216\n74057 100000\n71936 100000\n21874 32978\n30877 46495\n48126 72267\n76116 100000\n66325 99487\n17928 27012\n56841 85267\n71420 100000\n94119 100000\n17180 25887\n45891 68935\n50221 75399\n89590 100000\n82606 100000\n65248 97865\n61317 92002\n35006 52661\n76095 100000\n59694 89548\n77401 100000\n36730 55241\n61788 92693\n3211 4858\n63544 95309\n55380 83106\n48282 72503\n36635 55107\n20136 30324\n6708 10069\n77853 100000\n21214 31974\n35174 52917\n52180 78334\n90114 100000\n70873 100000\n69250 100000\n71824 100000\n86803 100000\n11177 16816\n92073 100000\n28087 42289\n58243 87362\n44346 66647\n99287 100000\n99812 100000\n39949 60088\n78682 100000\n81820 100000\n18943 28538\n20939 31548\n46064 69196\n87171 100000\n40751 61293\n58136 87208\n55600 83437\n476 700\n82431 100000\n56245 84385\n86093 100000\n31615 47615\n92709 100000\n80464 100000\n49638 74539\n67012 100000\n4871 7345\n15718 23679\n45898 68946\n39861 59966\n86531 100000\n78935 100000\n9302 13975\n40201 60462\n52127 78252\n84397 100000\n79357 100000\n66126 99183\n72080 100000\n97451 100000\n42285 63579\n53310 80027\n40295 60606\n40040 60229\n45131 67827\n52296 78505\n85788 100000\n3678 5551\n41519 62444\n45155 67865\n75560 100000\n25676 38708\n55817 83748\n18680 28157\n68251 100000\n48283 72504\n43806 65838\n93067 100000\n73207 100000\n42840 64397\n76843 100000\n43902 65977\n90217 100000\n88161 100000\n33857 50978\n6281 9434\n8492 12755\n15845 23882\n65993 98980\n68423 100000\n43533 65440\n24897 37538\n62253 93389\n75988 100000\n50672 76075\n84839 100000\n30729 46287\n69644 100000\n44660 67123\n9079 13642\n35258 53037\n12953 19508\n91668 100000\n33185 49972\n8239 12375\n88836 100000\n46690 70135\n82717 100000\n74045 100000\n7261 10904\n91443 100000\n18234 27476\n27170 40922\n13286 20013\n43075 64753\n168 246\n52852 79338\n60291 90453\n44692 67172\n5155 7757\n43008 64649\n2170 3284\n91967 100000\n22108 33330\n82487 100000\n28630 43104\n7732 11618\n39290 59108\n27279 41087\n13254 19964\n1781 2685\n48259 72470\n83601 100000\n77825 100000\n25252 38058\n89422 100000\n70644 100000\n87811 100000\n23953 36100\n92000 100000\n83945 100000\n44188 66406\n64467 96690\n53164 79814\n9710 14595\n45551 68437\n96523 100000\n56566 84854\n2244 3396\n23144 34881\n28238 42518\n66307 99460\n80761 100000\n9492 14270\n83288 100000\n85734 100000\n7032 10555\n90376 100000\n98642 100000\n35978 54109\n28229 42505\n84660 100000\n93691 100000\n61514 92288\n67264 100000\n5310 7979\n6717 10082\n10604 15941\n45548 68433\n11431 17203\n35907 54003\n21303 32116\n46122 69283\n92651 100000\n58917 88380\n67723 100000\n46002 69105\n22160 33406\n32589 49076\n16027 24148\n84263 100000\n2217 3358\n96365 100000\n51999 78059\n55106 82681\n86329 100000\n50448 75734\n27466 41358\n90706 100000\n18150 27342\n69549 100000\n61226 91863\n40865 61463\n26221 39502\n77907 100000\n49334 74082\n87818 100000\n29692 44724\n2840 4306\n11233 16899\n19374 29181\n94493 100000\n6342 9524\n46424 69743\n20371 30672\n87336 100000\n5956 8953\n76121 100000\n46074 69211\n84259 100000\n14935 22491\n68757 100000\n40741 61277\n38917 58549\n84775 100000\n61984 92986\n66309 99463\n54430 81663\n40487 60895\n2823 4282\n72284 100000\n95047 100000\n83234 100000\n82065 100000\n61716 92590\n47572 71461\n60597 90919\n91719 100000\n16556 24936\n54981 82490\n60786 91215\n28372 42716\n19192 28911\n22064 33264\n55186 82804\n2341 3537\n30887 46511\n77707 100000\n18004 27128\n24699 37223\n80859 100000\n72976 100000\n68813 100000\n21012 31668\n89345 100000\n50566 75912\n88805 100000\n16548 24925\n77123 100000\n29474 44385\n41760 62803\n39276 59087\n70342 100000\n98184 100000\n61077 91634\n44847 67404\n22935 34555\n64073 96101\n88583 100000\n11025 16591\n84473 100000\n52359 78602\n59903 89873\n75715 100000\n1418 2129\n21302 32114\n62214 93333\n90897 100000\n54219 81346\n88730 100000\n50621 76000\n4121 6217\n47852 71872\n42996 64630\n40299 60611\n63096 94630\n58653 87966\n29413 44288\n10342 15556\n93839 100000\n19240 28985\n70594 100000\n42648 64125\n5534 8305\n55032 82566\n30779 46359\n45632 68556\n33608 50598\n47369 71156\n19431 29264\n81327 100000\n18439 27787\n73129 100000\n5477 8225\n11364 17103\n99659 100000\n3791 5717\n18866 28424\n41149 61898\n62581 93869\n93087 100000\n83833 100000\n46443 69771\n40208 60472\n38849 58449\n65436 98152\n93994 100000\n72991 100000\n20599 31023\n26008 39192\n91704 100000\n56476 84725\n92325 100000\n45691 68642\n3642 5497\n84977 100000\n60210 90337\n90989 100000\n99140 100000\n68835 100000\n15049 22660\n45045 67696\n18165 27366\n60821 91259\n57638 86451\n34782 52334\n49459 74267\n68347 100000\n8898 13368\n53575 80403\n30363 45742\n54215 81341\n16835 25347\n63321 94973\n86435 100000\n12149 18282\n38585 58048\n31792 47880\n42331 63646\n17369 26165\n16840 25356\n35955 54077\n18142 27330\n61291 91965\n43948 66054\n46856 70384\n81528 100000\n41757 62798\n87338 100000\n19601 29522\n7160 10759\n26099 39325\n58435 87641\n11061 16645\n2970 4494\n49236 73933\n21114 31823\n47617 71527\n22609 34060\n13307 20044\n67987 100000\n38790 58355\n82394 100000\n7525 11307\n27049 40739\n985 1473\n14818 22309\n94098 100000\n82214 100000\n27875 41970\n15385 23180\n3480 5260\n14779 22247\n83553 100000\n43876 65938\n21524 32450\n91971 100000\n8414 12630\n50883 76387\n99640 100000\n17897 26962\n52978 79531\n96908 100000\n20264 30512\n45061 67721\n99889 100000\n83785 100000\n48801 73276\n63005 94486\n50965 76506\n95845 100000\n12531 18851\n74779 100000\n73922 100000\n79738 100000\n85874 100000\n28452 42837\n29662 44674\n73085 100000\n54299 81466\n48697 73118\n74298 100000\n35432 53301\n78302 100000\n14811 22298\n50484 75787\n5711 8581\n19385 29201\n82130 100000\n19444 29283\n57426 86153\n41014 61689\n25138 37886\n35495 53392\n76313 100000\n68473 100000\n23592 35561\n16023 24143\n30891 46516\n83768 100000\n35463 53347\n55807 83733\n25577 38549\n7895 11864\n99910 100000\n68469 100000\n49116 73745\n6004 9020\n15508 23367\n76524 100000\n41170 61929\n2448 3699\n83316 100000\n66731 100000\n8830 13267\n89668 100000\n62774 94151\n17642 26587\n63003 94484\n24068 36277\n12689 19099\n9182 13796\n60034 90067\n95769 100000\n6865 10307\n39497 59422\n13987 21060\n44064 66223\n66455 99678\n15138 22796\n41833 62911\n5838 8771\n40232 60505\n13974 21041\n47628 71541\n22885 34477\n87526 100000\n33706 50748\n42907 64501\n95701 100000\n56032 84067\n35060 52742\n34299 51630\n41050 61744\n52015 78083\n69502 100000\n79402 100000\n41558 62501\n68645 100000\n76197 100000\n21991 33156\n76801 100000\n65511 98270\n54662 82007\n53340 80070\n77462 100000\n56058 84109\n69609 100000\n53509 80306\n72220 100000\n81280 100000\n29095 43815\n43297 65091\n49460 74268\n5723 8598\n42838 64394\n83122 100000\n41405 62278\n63216 94811\n53467 80250\n57044 85576\n37490 56381\n3733 5634\n86998 100000\n1789 2699\n73779 100000\n53284 79987\n51106 76713\n46843 70363\n62838 94242\n52677 79077\n34659 52158\n50346 75582\n57734 86598\n86830 100000\n96241 100000\n62660 93987\n82932 100000\n11805 17763\n76299 100000\n83157 100000\n71136 100000\n92125 100000\n79335 100000\n73373 100000\n49831 74818\n34483 51896\n89712 100000\n11448 17231\n62711 94060\n65070 97590\n61101 91678\n14055 21168\n96791 100000\n50747 76186\n95522 100000\n57879 86821\n97784 100000\n18107 27279\n43184 64914\n32888 49520\n21649 32637\n80274 100000\n37707 56707\n19081 28739\n42850 64414\n40155 60395\n78407 100000\n97701 100000\n70326 100000\n4762 7181\n12833 19326\n77795 100000\n47299 71053\n34784 52337\n79089 100000\n47085 70742\n22684 34172\n31430 47336\n60026 90054\n89665 100000\n89288 100000\n15799 23805\n21985 33148\n38312 57650\n21475 32378\n72647 100000\n59224 88840\n6885 10332\n98164 100000\n10898 16394\n25075 37795\n11163 16799\n31463 47390\n43531 65437\n94319 100000\n48996 73566\n58576 87851\n60695 91066\n60048 90087\n47545 71423\n20275 30530\n43863 65920\n11051 16629\n43249 65015\n62871 94289\n8232 12363\n42877 64455\n77246 100000\n92999 100000\n1942 2931\n3203 4845\n98071 100000\n84652 100000\n276 398\n49578 74453\n92740 100000\n71396 100000\n74337 100000\n27229 41011\n21389 32247\n36039 54195\n64416 96618\n6357 9545\n85875 100000\n52188 78347\n97310 100000\n70587 100000\n93331 100000\n10199 15344\n25962 39129\n44799 67336\n97818 100000\n31749 47813\n17136 25817\n6987 10489\n93498 100000\n80020 100000\n19151 28850\n21110 31816\n62557 93836\n5130 7717\n35057 52738\n97120 100000\n84852 100000\n26445 39846\n91582 100000\n20201 30421\n26067 39277\n67238 100000\n60617 90951\n39316 59152\n25036 37733\n56295 84455\n52721 79142\n77921 100000\n32592 49081\n83168 100000\n40485 60892\n30388 45779\n98772 100000\n72390 100000\n71263 100000\n11610 17468\n2522 3816\n69068 100000\n15279 23010\n89794 100000\n14366 21619\n64838 97249\n6223 9349\n7104 10667\n45656 68590\n835 1251\n79826 100000\n76880 100000\n96625 100000\n22215 33486\n24792 37373\n33916 51066\n26967 40623\n55590 83423\n85822 100000\n69989 100000\n91803 100000\n95150 100000\n95345 100000\n1537 2307\n40742 61279\n14717 22154\n54907 82379\n84766 100000\n28259 42551\n17506 26374\n42661 64141\n12847 19342\n23603 35578\n41744 62777\n6294 9458\n30093 45341\n22747 34270\n26018 39206\n74237 100000\n36740 55257\n28698 43209\n24974 37645\n48165 72325\n55821 83754\n45220 67961\n82568 100000\n10170 15298\n75625 100000\n38238 57531\n82326 100000\n28541 42968\n53134 79767\n51204 76861\n11390 17141\n41677 62679\n26864 40469\n62785 94166\n18873 28435\n6254 9393\n31895 48037\n82927 100000\n65221 97828\n10823 16280\n82200 100000\n97496 100000\n39561 59513\n75086 100000\n93835 100000\n71086 100000\n99034 100000\n2026 3062\n14062 21179\n66723 100000\n61045 91588\n11176 16815\n84031 100000\n71312 100000\n46645 70069\n75734 100000\n12499 18803\n6409 9621\n69800 100000\n76127 100000\n15051 22663\n77511 100000\n81119 100000\n47466 71305\n28119 42340\n81185 100000\n65206 97806\n92412 100000\n42498 63898\n9319 14004\n93000 100000\n36319 54627\n19616 29545\n82484 100000\n37393 56235\n89598 100000\n92951 100000\n83826 100000\n63357 95025\n57666 86489\n98172 100000\n85509 100000\n23544 35490\n37343 56157\n9284 13949\n16335 24614\n83180 100000\n13970 21036\n89070 100000\n14895 22428\n17350 26139\n61075 91631\n43000 64637\n44926 67513\n54042 81088\n67105 100000\n46388 69691\n9332 14023\n72765 100000\n49199 73877\n26735 40274\n82983 100000\n42518 63930\n137 199\n21279 32077\n23434 35314\n89990 100000\n50636 76022\n50556 75899\n87155 100000\n4405 6641\n93177 100000\n51992 78050\n28777 43333\n60546 90839\n12780 19242\n68261 100000\n39191 58962\n67640 100000\n49604 74495\n52665 79058\n5197 7819\n57341 86028\n9590 14418\n3544 5352\n55547 83353\n13462 20275\n85576 100000\n44564 66973\n2580 3904\n83383 100000\n64542 96805\n94246 100000\n84113 100000\n79616 100000\n59670 89512\n3283 4970\n24379 36743\n33479 50402\n40028 60212\n13968 21033\n12818 19306\n1301 1951\n8411 12626\n91157 100000\n32113 48362\n62577 93864\n44875 67445\n5361 8053\n69888 100000\n30943 46595\n52806 79270\n68980 100000\n35161 52897\n14255 21453\n35930 54040\n96287 100000\n30146 45421\n67633 100000\n21983 33146\n8429 12649\n90830 100000\n12445 18717\n56910 85372\n81546 100000\n96893 100000\n80839 100000\n56827 85248\n49434 74230\n81996 100000\n92376 100000\n69259 100000\n93300 100000\n62102 93160\n66955 100000\n24805 37395\n22235 33516\n20512 30890\n10077 15160\n20262 30508\n61297 91974\n14510 21845\n27425 41299\n55181 82796\n51434 77196\n76829 100000\n33639 50648\n86153 100000\n62487 93728\n45895 68941\n39386 59260\n96483 100000\n19693 29659\n45581 68476\n7729 11614\n14200 21378\n98718 100000\n41033 61719\n2185 3311\n11283 16979\n58190 87286\n30065 45293\n15936 24013\n62784 94164\n59584 89388\n17405 26218\n56059 84110\n15673 23617\n88132 100000\n36965 55595\n17853 26894\n46593 69993\n48696 73116\n57929 86900\n30220 45534\n7639 11478\n28146 42381\n73539 100000\n29838 44947\n47854 71876\n4977 7497\n23619 35598\n29483 44399\n62217 93338\n64121 96175\n35720 53727\n22521 33935\n29796 44878\n63188 94770\n30723 46279\n13402 20184\n35337 53154\n67534 100000\n25008 37692\n43382 65221\n99289 100000\n92127 100000\n40448 60833\n99929 100000\n15282 23015\n67080 100000\n44838 67391\n79967 100000\n15263 22985\n27144 40880\n67730 100000\n35611 53554\n80119 100000\n48834 73324\n9560 14373\n56306 84468\n7069 10612\n73405 100000\n33266 50093\n14998 22586\n67029 100000\n38081 57292\n80863 100000\n61403 92128\n25257 38064\n47773 71756\n15682 23631\n78252 100000\n79995 100000\n79478 100000\n76690 100000\n70491 100000\n38248 57546\n56691 85048\n25556 38519\n67747 100000\n11442 17220\n71375 100000\n29265 44069\n91088 100000\n67145 100000\n16651 25080\n71546 100000\n37000 55649\n71057 100000\n13001 19584\n63830 95747\n18499 27879\n22593 34035\n95768 100000\n12365 18600\n19794 29805\n8025 12055\n78720 100000\n64681 97011\n96981 100000\n93516 100000\n84547 100000\n5295 7957\n11304 17012\n35725 53734\n1022 1526\n99191 100000\n34603 52072\n18929 28517\n59619 89439\n70546 100000\n15753 23729\n44821 67367\n5806 8719\n35791 53832\n32378 48760\n64503 96747\n22477 33872\n22979 34629\n91431 100000\n28242 42524\n84478 100000\n61856 92795\n28471 42867\n52654 79041\n84041 100000\n52681 79081\n86001 100000\n29992 45182\n73982 100000\n74755 100000\n56602 84910\n71503 100000\n57562 86340\n55743 83639\n28984 43644\n89635 100000\n4959 7474\n64776 97157\n8587 12895\n72373 100000\n64298 96436\n71924 100000\n10291 15478\n58763 88147\n37446 56315\n10697 16090\n11751 17680\n68829 100000\n51115 76727\n15140 22799\n43182 64910\n55515 83306\n57727 86587\n8295 12457\n32100 48343\n78699 100000\n93217 100000\n5235 7876\n95428 100000\n60517 90795\n61545 92333\n67623 100000\n25933 39094\n14163 21329\n83766 100000\n7993 12006\n1594 2398\n754 1133\n90911 100000\n23511 35437\n1888 2846\n21816 32884\n41098 61816\n37407 56257\n90441 100000\n69679 100000\n72973 100000\n92638 100000\n5906 8879\n77690 100000\n63955 95926\n3674 5545\n29855 44973\n17401 26213\n80449 100000\n14015 21106\n13153 19819\n16300 24560\n94812 100000\n15141 22800\n63287 94921\n2320 3509\n99335 100000\n30553 46021\n38053 57246\n49661 74574\n24274 36584\n16075 24222\n76665 100000\n3008 4552\n95385 100000\n29004 43676\n54201 81324\n62438 93658\n81075 100000\n75730 100000\n93 140\n14745 22195\n95198 100000\n92004 100000\n47275 71015\n26118 39355\n10337 15548\n62294 93448\n49510 74348\n51664 77553\n58346 87518\n64683 97015\n77888 100000\n58263 87393\n58648 87959\n71550 100000\n34627 52106\n1920 2896\n29251 44050\n82138 100000\n83695 100000\n35794 53835\n72943 100000\n33988 51170\n29542 44489\n71241 100000\n72644 100000\n30116 45375\n36307 54608\n21274 32069\n17946 27037\n31781 47862\n62499 93744\n50206 75378\n824 1235\n37109 55811\n59887 89848\n19394 29212\n39149 58897\n96848 100000\n93899 100000\n16342 24625\n34751 52290\n40856 61448\n44187 66405\n99201 100000\n68515 100000\n28786 43348\n39155 58908\n95726 100000\n41939 63069\n30059 45283\n71191 100000\n22214 33485\n47468 71308\n11255 16935\n66418 99623\n71304 100000\n14008 21095\n17952 27045\n97902 100000\n52210 78380\n75816 100000\n82575 100000\n12999 19580\n13256 19968\n2411 3643\n49586 74467\n39525 59462\n19381 29193\n3926 5923\n11517 17333\n47206 70919\n63443 95151\n60557 90856\n23680 35695\n2308 3494\n14323 21553\n35676 53652\n45095 67775\n90465 100000\n27527 41457\n34975 52613\n65686 98522\n783 1175\n6678 10027\n64123 96178\n45260 68020\n44727 67226\n68493 100000\n89137 100000\n92091 100000\n22511 33919\n7878 11839\n72329 100000\n38324 57667\n70194 100000\n95555 100000\n42731 64242\n20348 30639\n73833 100000\n45468 68319\n37630 56590\n85499 100000\n35274 53062\n89975 100000\n13926 20971\n24725 37268\n10228 15389\n33774 50850\n104 155\n81540 100000\n74552 100000\n91480 100000\n87238 100000\n49683 74605\n39442 59337\n1032 1541\n18607 28048\n94661 100000\n81967 100000\n23187 34947\n8041 12079\n34538 51974\n41425 62309\n38206 57483\n83391 100000\n28265 42561\n58819 88234\n92453 100000\n95825 100000\n84359 100000\n45218 67959\n93013 100000\n19218 28948\n63348 95012\n80479 100000\n8052 12097\n79915 100000\n72893 100000\n61493 92259\n90829 100000\n16683 25130\n66007 98996\n24146 36394\n99613 100000\n11196 16847\n85539 100000\n42114 63327\n73559 100000\n14773 22237\n31980 48163\n55343 83048\n91696 100000\n6007 9025\n95130 100000\n58735 88101\n72838 100000\n87577 100000\n94374 100000\n31757 47826\n27689 41696\n39017 58697\n79270 100000\n78233 100000\n4039 6093\n62738 94097\n57474 86219\n50141 75283\n40094 60307\n1333 1997\n77800 100000\n55983 83991\n7627 11459\n78514 100000\n46780 70270\n33331 50188\n85842 100000\n10967 16509\n82366 100000\n83666 100000\n76292 100000\n39077 58786\n10156 15277\n55445 83204\n52626 79003\n22649 34119\n36328 54640\n77410 100000\n82197 100000\n67451 100000\n75379 100000\n72850 100000\n36686 55179\n74591 100000\n93629 100000\n96329 100000\n2890 4384\n12236 18409\n62321 93488\n12585 18934\n59257 88890\n29788 44865\n23443 35327\n20252 30494\n4276 6444\n80942 100000\n76344 100000\n21370 32223\n78968 100000\n42574 64010\n18853 28407\n35350 53175\n45417 68246\n69042 100000\n81403 100000\n96413 100000\n47889 71930\n42362 63693\n16960 25543\n11124 16743\n84814 100000\n36381 54720\n82147 100000\n59143 88724\n80669 100000\n40639 61122\n75893 100000\n47642 71558\n46359 69646\n18593 28027\n28702 43214\n69957 100000\n16824 25331\n31429 47334\n90479 100000\n60669 91026\n94565 100000\n36459 54839\n14658 22068\n36396 54742\n75505 100000\n32691 49219\n37309 56110\n37420 56277\n17416 26236\n18461 27822\n49105 73730\n17686 26651\n68665 100000\n1636 2462\n34757 52298\n27443 41326\n58932 88404\n2274 3444\n7361 11060\n88874 100000\n3587 5415\n8849 13295\n38303 57634\n52585 78950\n15010 22603\n92119 100000\n70600 100000\n53002 79568\n58537 87791\n22104 33324\n80176 100000\n70066 100000\n88139 100000\n6107 9170\n44682 67154\n60222 90354\n73211 100000\n69848 100000\n68551 100000\n4725 7124\n50627 76009\n10197 15341\n70284 100000\n80181 100000\n36507 54910\n8604 12917\n62653 93976\n95256 100000\n83167 100000\n41406 62280\n69359 100000\n48836 73327\n58713 88062\n2719 4112\n10215 15369\n3519 5314\n13107 19744\n64979 97455\n84133 100000\n70993 100000\n47055 70696\n47880 71915\n40407 60774\n33899 51040\n95465 100000\n45989 69084\n43560 65483\n54833 82264\n98685 100000\n79610 100000\n66633 99941\n14235 21429\n57314 85988\n69488 100000\n87317 100000\n37590 56534\n78820 100000\n8453 12687\n80210 100000\n68202 100000\n26562 40018\n98263 100000\n72950 100000\n36468 54851\n75216 100000\n14415 21697\n6528 9803\n41689 62697\n61266 91923\n45973 69062\n82349 100000\n23971 36127\n4106 6195\n78917 100000\n52313 78533\n38906 58532\n39836 59928\n96358 100000\n87426 100000\n50271 75475\n89628 100000\n78552 100000\n88156 100000\n16798 25293\n8166 12270\n99913 100000\n43780 65798\n87375 100000\n18347 27649\n23257 35048\n19256 29009\n17576 26483\n27757 41797\n77708 100000\n10236 15400\n93795 100000\n26722 40253\n32766 49332\n45386 68203\n63405 95098\n73238 100000\n11352 17084\n88566 100000\n43929 66023\n63609 95414\n7852 11797\n41946 63078\n19896 29966\n94979 100000\n72608 100000\n67734 100000\n37148 55871\n1467 2208\n51864 77861\n10859 16331\n40346 60684\n28128 42354\n13514 20347\n66638 99946\n92966 100000\n82812 100000\n5686 8537\n36919 55524\n95169 100000\n42698 64194\n4545 6853\n59458 89201\n53685 80568\n33469 50387\n5694 8553\n93267 100000\n79555 100000\n54856 82299\n89913 100000\n41260 62056\n38592 58059\n26847 40442\n91864 100000\n21525 32452\n31432 47338\n95778 100000\n2921 4423\n40195 60453\n24914 37561\n64573 96851\n84757 100000\n21141 31863\n92863 100000\n22634 34097\n99407 100000\n32082 48316\n15983 24082\n43814 65851\n99150 100000\n35077 52767\n36063 54234\n66802 100000\n88136 100000\n3880 5850\n39437 59331\n49923 74952\n62164 93257\n64042 96059\n86989 100000\n61491 92256\n71705 100000\n91986 100000\n76849 100000\n55388 83117\n55088 82651\n82193 100000\n57392 86101\n89567 100000\n84177 100000\n55302 82985\n74009 100000\n20963 31588\n955 1426\n10997 16553\n58109 87170\n72508 100000\n96305 100000\n44518 66907\n95565 100000\n83299 100000\n89690 100000\n41338 62179\n14874 22399\n83838 100000\n64651 96966\n76640 100000\n80353 100000\n96824 100000\n78890 100000\n340 492\n81347 100000\n1584 2381\n64460 96681\n70897 100000\n27431 41308\n36701 55200\n21611 32579\n24103 36331\n97614 100000\n76413 100000\n1312 1966\n61152 91751\n46739 70211\n25949 39113\n95878 100000\n69298 100000\n17206 25930\n82787 100000\n4580 6910\n99534 100000\n55856 83805\n86421 100000\n82409 100000\n24140 36387\n85171 100000\n90076 100000\n64869 97294\n73919 100000\n82154 100000\n8273 12423\n47996 72088\n9839 14791\n75731 100000\n52031 78106\n11133 16759\n25357 38213\n33499 50434\n40835 61415\n65978 98957\n15302 23046\n67256 100000\n27608 41575\n14851 22359\n6933 10406\n95232 100000\n55338 83039\n8695 13057\n96272 100000\n88976 100000\n5737 8618\n99759 100000\n4929 7432\n46459 69795\n49089 73705\n34595 52058\n79746 100000\n39446 59342\n99 148\n9965 14984\n41359 62208\n11487 17289\n29479 44393\n38820 58402\n56671 85015\n20238 30474\n92011 100000\n95050 100000\n1889 2847\n78675 100000\n59451 89189\n59743 89624\n74407 100000\n78657 100000\n41297 62119\n58795 88197\n1480 2224\n119 174\n44186 66404\n89652 100000\n73417 100000\n47117 70788\n17219 25950\n21706 32716\n3652 5512\n61961 92948\n4614 6958\n83913 100000\n23670 35678\n57165 85757\n88732 100000\n43593 65528\n25826 38938\n68212 100000\n93719 100000\n73630 100000\n89181 100000\n76682 100000\n33920 51073\n78684 100000\n97042 100000\n38167 57426\n75305 100000\n13563 20422\n841 1258\n75093 100000\n55463 83229\n35897 53988\n28771 43323\n59078 88627\n69887 100000\n96030 100000\n62430 93647\n38988 58650\n3567 5385\n39918 60043\n85339 100000\n10149 15266\n16993 25598\n66278 99417\n6754 10138\n46954 70536\n75493 100000\n66926 100000\n99997 100000\n32336 48701\n16645 25072\n46073 69209\n11076 16672\n86170 100000\n57201 85810\n97164 100000\n72260 100000\n3531 5333\n7915 11893\n49663 74576\n92414 100000\n65934 98890\n95014 100000\n81726 100000\n75008 100000\n49931 74963\n13144 19803\n92949 100000\n71767 100000\n62467 93699\n55713 83597\n49099 73719\n62039 93070\n9156 13757\n2657 4015\n55372 83096\n40074 60279\n35477 53368\n98346 100000\n62081 93132\n31761 47831\n72358 100000\n43098 64789\n30130 45396\n91438 100000\n41871 62968\n28708 43225\n78333 100000\n1038 1551\n42974 64599\n1166 1740\n2147 3249\n83212 100000\n20808 31355\n79824 100000\n93517 100000\n13966 21030\n72578 100000\n3583 5408\n18757 28267\n68071 100000\n71683 100000\n40356 60697\n4815 7259\n33270 50099\n68451 100000\n83592 100000\n73319 100000\n82422 100000\n63976 95960\n21567 32516\n43666 65635\n2920 4422\n36758 55286\n63909 95861\n30147 45423\n91715 100000\n92395 100000\n54689 82048\n93211 100000\n92108 100000\n201 289\n59239 88863\n3762 5679\n83667 100000\n21617 32590\n97537 100000\n65043 97550\n36474 54860\n16521 24890\n94106 100000\n95578 100000\n54283 81445\n45165 67882\n83000 100000\n36267 54545\n25778 38864\n83495 100000\n94859 100000\n63989 95980\n16545 24921\n49227 73921\n86293 100000\n73610 100000\n97398 100000\n20640 31086\n23252 35041\n17021 25639\n93944 100000\n43318 65121\n25086 37814\n97625 100000\n82269 100000\n29440 44332\n21959 33112\n68397 100000\n23849 35948\n89431 100000\n38595 58062\n3091 4672\n85433 100000\n50 72\n17753 26750\n87612 100000\n67903 100000\n33871 51001\n639 959\n31030 46725\n5188 7804\n34 47\n73394 100000\n65744 98604\n49195 73872\n48864 73367\n50825 76302\n24410 36788\n5026 7566\n78919 100000\n34523 51955\n89558 100000\n89346 100000\n74095 100000\n56829 85252\n63959 95932\n40561 61008\n97247 100000\n44779 67305\n53607 80447\n91363 100000\n42078 63275\n30552 46020\n68726 100000\n89403 100000\n22172 33421\n92182 100000\n56451 84686\n78198 100000\n41128 61866\n52423 78699\n72149 100000\n63454 95169\n6300 9465\n34047 51253\n27345 41180\n32001 48193\n26946 40592\n72136 100000\n90646 100000\n41912 63027\n67275 100000\n89369 100000\n64060 96083\n51238 76909\n18944 28539\n66511 99761\n92164 100000\n490 723\n89094 100000\n62851 94259\n6065 9106\n63274 94901\n3098 4684\n83924 100000\n95647 100000\n85274 100000\n55246 82896\n86162 100000\n13146 19807\n31125 46871\n41432 62320\n33363 50233\n1193 1782\n21273 32068\n64301 96440\n32075 48304\n86564 100000\n3933 5934\n65242 97856\n56278 84430\n86616 100000\n39046 58740\n14231 21423\n88393 100000\n91721 100000\n99981 100000\n56185 84297\n88052 100000\n88925 100000\n11808 17767\n57349 86039\n68905 100000\n80699 100000\n10331 15537\n1263 1892\n54097 81164\n58543 87800\n612 916\n59437 89166\n30496 45937\n884 1321\n2682 4052\n45992 69089\n80313 100000\n23267 35064\n18602 28042\n71596 100000\n50598 75963\n26675 40186\n84640 100000\n62797 94182\n26687 40201\n57861 86792\n10702 16098\n50360 75601\n16253 24494\n64548 96815\n12604 18963\n90009 100000\n61415 92147\n19031 28666\n49385 74159\n49122 73755\n95175 100000\n20067 30225\n14365 21617\n15588 23484\n47391 71190\n18884 28451\n77330 100000\n60327 90510\n72360 100000\n34745 52284\n17396 26205\n92991 100000\n29192 43964\n38389 57759\n85915 100000\n65951 98914\n84403 100000\n77521 100000\n66618 99920\n98849 100000\n90444 100000\n47108 70778\n61287 91958\n26384 39751\n28291 42599\n15999 24105\n99611 100000\n95456 100000\n94029 100000\n1988 3003\n15068 22690\n64660 96978\n86191 100000\n72664 100000\n19257 29010\n63824 95739\n56862 85299\n12222 18388\n69821 100000\n52460 78754\n45995 69093\n21715 32729\n88407 100000\n65852 98758\n21599 32560\n23803 35882\n68449 100000\n70529 100000\n50600 75966\n57065 85605\n66651 99964\n76357 100000\n60769 91189\n27727 41754\n45459 68305\n26286 39601\n15668 23608\n80314 100000\n75848 100000\n44213 66444\n6271 9418\n43767 65775\n29266 44071\n6676 10024\n24359 36712\n66682 100000\n13382 20155\n25326 38166\n30476 45908\n21063 31742\n70526 100000\n19959 30064\n59708 89572\n75516 100000\n32197 48492\n29621 44613\n31042 46744\n92191 100000\n30080 45320\n49427 74221\n34639 52127\n59075 88623\n4164 6282\n51711 77626\n2245 3398\n14503 21834\n46622 70033\n43193 64929\n70782 100000\n2763 4184\n50427 75702\n69780 100000\n88995 100000\n9589 14416\n90934 100000\n51772 77719\n19888 29954\n47428 71244\n54565 81869\n52166 78312\n62804 94194\n97727 100000\n28244 42527\n14861 22376\n23243 35026\n94824 100000\n83981 100000\n39242 59034\n69031 100000\n60595 90916\n85008 100000\n50843 76332\n73183 100000\n45239 67990\n96315 100000\n40187 60444\n76508 100000\n28862 43458\n9803 14738\n4621 6968\n27658 41650\n77863 100000\n53785 80710\n9193 13810\n54180 81289\n43252 65021\n50799 76264\n86793 100000\n71047 100000\n16032 24157\n19400 29221\n40596 61060\n72569 100000\n61916 92887\n13913 20954\n74813 100000\n33347 50212\n31442 47353\n70014 100000\n66127 99185\n77833 100000\n50066 75162\n39990 60152\n22660 34135\n96015 100000\n77881 100000\n84040 100000\n59937 89922\n46745 70220\n14788 22262\n12051 18123\n5837 8769\n58489 87721\n7027 10548\n45241 67992\n60148 90245\n92963 100000\n73961 100000\n59722 89594\n1912 2883\n52349 78588\n57095 85651\n87396 100000\n78338 100000\n47010 70623\n13728 20669\n80579 100000\n77446 100000\n43165 64882\n60079 90136\n26012 39197\n93395 100000\n88499 100000\n32913 49559\n75385 100000\n87711 100000\n63000 94479\n77490 100000\n18790 28315\n68688 100000\n49922 74950\n40707 61224\n12533 18854\n9269 13929\n87817 100000\n65491 98242\n82621 100000\n37600 56544\n18542 27950\n53190 79850\n99825 100000\n95243 100000\n65469 98204\n37203 55953\n58105 87163\n5629 8451\n21971 33130\n71676 100000\n54966 82468\n48990 73559\n49711 74645\n406 597\n59126 88698\n18539 27945\n3562 5378\n93372 100000\n14068 21188\n72878 100000\n20204 30426\n28640 43120\n79190 100000\n31806 47901\n32805 49395\n74372 100000\n85204 100000\n57629 86438\n84825 100000\n51357 77080\n69619 100000\n47624 71535\n23863 35969\n39799 59874\n55833 83772\n92664 100000\n35455 53336\n13862 20875\n39679 59696\n11034 16604\n44999 67627\n95927 100000\n71958 100000\n23568 35524\n40571 61023\n25864 38989\n13658 20563\n32661 49177\n55844 83788\n45346 68148\n15126 22776\n96917 100000\n23645 35638\n53288 79994\n22236 33517\n14133 21286\n49198 73875\n31289 47123\n95722 100000\n76515 100000\n18598 28035\n30311 45665\n36263 54539\n76626 100000\n64510 96759\n7230 10862\n70411 100000\n23031 34708\n72728 100000\n77699 100000\n89317 100000\n45757 68738\n91366 100000\n11018 16581\n27352 41190\n94438 100000\n87466 100000\n25037 37735\n61362 92065\n736 1101\n44340 66638\n17727 26715\n83427 100000\n80424 100000\n24371 36730\n74420 100000\n4755 7173\n81225 100000\n4114 6206\n43594 65530\n60375 90582\n52068 78157\n36226 54480\n74092 100000\n96429 100000\n97690 100000\n27622 41594\n19894 29963\n68235 100000\n3540 5346\n65323 97973\n12905 19436\n64033 96046\n130 190\n68288 100000\n180 259\n18812 28349\n83682 100000\n84289 100000\n53545 80359\n53879 80850\n76419 100000\n2080 3144\n95353 100000\n50173 75332\n41319 62151\n14675 22094\n83680 100000\n17787 26799\n38732 58263\n79002 100000\n94327 100000\n12104 18207\n23280 35084\n573 851\n81299 100000\n74960 100000\n42929 64534\n90718 100000\n15463 23293\n98335 100000\n82017 100000\n24222 36506\n10660 16031\n99282 100000\n14063 21181\n9192 13809\n34119 51363\n13566 20425\n63881 95823\n45711 68671\n64110 96159\n48939 73479\n82127 100000\n27133 40865\n30795 46380\n62781 94160\n28842 43432\n515 761\n65063 97580\n76645 100000\n71926 100000\n60163 90269\n55392 83123\n41652 62639\n57050 85583\n77573 100000\n81630 100000\n90801 100000\n10818 16272\n33198 49990\n10575 15900\n99411 100000\n26701 40222\n24998 37679\n68020 100000\n84773 100000\n29990 45179\n7823 11752\n30960 46620\n54633 81969\n63203 94793\n72176 100000\n54627 81960\n12787 19253\n18359 27670\n9475 14245\n37205 55956\n96944 100000\n50945 76480\n56370 84565\n2736 4137\n35172 52914\n90378 100000\n2762 4182\n74386 100000\n96077 100000\n98534 100000\n50742 76178\n95388 100000\n26553 40005\n94304 100000\n51768 77713\n25031 37725\n81367 100000\n31630 47636\n51866 77864\n96683 100000\n62382 93575\n54169 81274\n6499 9760\n74530 100000\n48813 73293\n79026 100000\n8916 13393\n53194 79856\n84028 100000\n5739 8621\n53066 79665\n57746 86618\n21808 32872\n2767 4190\n81564 100000\n33965 51138\n60255 90404\n36280 54566\n29389 44256\n78320 100000\n93250 100000\n12626 18997\n65727 98580\n45991 69087\n54513 81797\n97878 100000\n10949 16478\n66003 98992\n42402 63754\n94780 100000\n30902 46532\n44697 67181\n93114 100000\n74722 100000\n79929 100000\n18019 27146\n61243 91888\n57233 85859\n34881 52478\n87872 100000\n20085 30251\n21101 31802\n75655 100000\n72898 100000\n87704 100000\n96323 100000\n55428 83180\n65118 97664\n8634 12962\n53385 80133\n22403 33762\n24948 37607\n85065 100000\n93524 100000\n86187 100000\n33020 49733\n49148 73796\n38333 57679\n60820 91258\n63191 94775\n70595 100000\n80783 100000\n78984 100000\n34442 51838\n87483 100000\n81326 100000\n35002 52655\n63256 94872\n2648 4001\n31264 47082\n87482 100000\n11087 16690\n7389 11104\n92806 100000\n14290 21505\n66979 100000\n54546 81844\n75307 100000\n15561 23445\n68793 100000\n20101 30276\n80329 100000\n67892 100000\n93320 100000\n43387 65227\n36179 54409\n52746 79178\n42575 64011\n41081 61790\n54491 81764\n284 409\n31643 47655\n67008 100000\n10354 15575\n69898 100000\n71248 100000\n96792 100000\n72677 100000\n49504 74339\n20021 30156\n34675 52181\n70391 100000\n19293 29067\n58474 87698\n59681 89528\n81731 100000\n91320 100000\n10424 15680\n90216 100000\n6866 10308\n22947 34576\n50589 75947\n89873 100000\n64108 96157\n62275 93423\n87242 100000\n56756 85141\n5179 7791\n47868 71897\n41578 62530\n59620 89440\n59207 88816\n73152 100000\n7227 10856\n2269 3437\n22300 33611\n30283 45624\n91928 100000\n36941 55558\n5852 8795\n5186 7801\n5164 7768\n38535 57976\n66361 99540\n34276 51598\n92488 100000\n70938 100000\n64485 96717\n3043 4602\n74174 100000\n3287 4975\n85457 100000\n23303 35117\n87256 100000\n90282 100000\n41303 62127\n65147 97710\n132 193\n14914 22459\n84508 100000\n87189 100000\n66104 99149\n55956 83950\n81825 100000\n96151 100000\n77993 100000\n70464 100000\n6800 10210\n12697 19112\n77634 100000\n54110 81181\n50076 75178\n42561 63992\n43373 65207\n39335 59180\n48857 73357\n24023 36215\n63837 95759\n56533 84810\n95679 100000\n76684 100000\n43546 65461\n45498 68364\n64646 96957\n91170 100000\n91931 100000\n71247 100000\n26433 39824\n2354 3558\n58044 87072\n66266 99396\n74564 100000\n2209 3346\n61066 91618\n14253 21451\n95464 100000\n45807 68813\n91763 100000\n10431 15690\n80184 100000\n86327 100000\n55028 82560\n53555 80375\n65331 97986\n83012 100000\n70653 100000\n20068 30226\n36705 55206\n76701 100000\n67680 100000\n38707 58224\n64496 96737\n98490 100000\n49426 74219\n79275 100000\n62886 94311\n61318 92003\n47792 71784\n20174 30382\n94800 100000\n31070 46784\n60828 91270\n99533 100000\n22277 33581\n44047 66201\n43619 65569\n2357 3564\n71393 100000\n1361 2041\n65203 97802\n42546 63970\n6996 10504\n81080 100000\n86454 100000\n21907 33031\n8594 12904\n9673 14538\n90147 100000\n62879 94301\n30418 45822\n27641 41619\n28739 43274\n75266 100000\n45912 68964\n80358 100000\n79406 100000\n48533 72882\n54293 81458\n80036 100000\n23951 36097\n69879 100000\n31459 47382\n39953 60094\n9894 14874\n64218 96318\n32148 48417\n57054 85590\n51309 77010\n69482 100000\n38896 58517\n77714 100000\n19377 29186\n77739 100000\n62949 94404\n54038 81083\n78624 100000\n70156 100000\n93530 100000\n77470 100000\n35116 52831\n48202 72384\n70403 100000\n94548 100000\n75702 100000\n12238 18411\n28407 42771\n90775 100000\n49005 73578\n624 936\n97498 100000\n51415 77167\n81585 100000\n86515 100000\n48567 72927\n66543 99808\n42836 64391\n35349 53173\n17921 27003\n12269 18458\n30436 45849\n16215 24431\n30550 46017\n24331 36669\n73297 100000\n5891 8855\n55710 83594\n65368 98044\n2283 3455\n37851 56934\n752 1130\n30885 46508\n93440 100000\n95839 100000\n3028 4580\n28688 43194\n92754 100000\n92045 100000\n68996 100000\n94433 100000\n96754 100000\n14315 21541\n35379 53219\n29351 44200\n27919 42038\n32028 48230\n24636 37124\n32267 48596\n30250 45581\n58248 87370\n27414 41279\n27547 41486\n58175 87264\n31026 46719\n98409 100000\n66417 99622\n72005 100000\n83133 100000\n97066 100000\n4162 6278\n35065 52749\n93556 100000\n71297 100000\n41387 62251\n10033 15093\n63022 94511\n3630 5480\n51925 77948\n76744 100000\n1461 2199\n65056 97569\n22093 33307\n4488 6766\n55914 83889\n52839 79316\n10723 16130\n10366 15594\n90673 100000\n59980 89985\n60926 91406\n31014 46701\n57837 86756\n79779 100000\n97081 100000\n31726 47779\n43580 65508\n19419 29247\n44688 67165\n26660 40162\n63666 95504\n68598 100000\n58756 88134\n1216 1818\n35262 53043\n49127 73763\n67445 100000\n35045 52719\n60734 91134\n80331 100000\n25382 38254\n8267 12415\n34589 52049\n80600 100000\n19341 29137\n22343 33674\n24802 37391\n76929 100000\n27808 41874\n68534 100000\n23120 34846\n89339 100000\n63031 94525\n45164 67880\n74003 100000\n72155 100000\n21372 32226\n7079 10629\n73099 100000\n6291 9452\n16382 24681\n22475 33868\n7515 11293\n60947 91438\n88668 100000\n24735 37283\n13814 20800\n33306 50154\n41589 62545\n93789 100000\n4558 6874\n8662 13004\n27778 41830\n42383 63724\n49694 74617\n316 454\n37991 57147\n30656 46177\n83261 100000\n18726 28223\n32486 48918\n22457 33842\n61999 93010\n79799 100000\n14764 22223\n22060 33256\n79236 100000\n13350 20110\n19944 30039\n16707 25164\n11429 17200\n51647 77529\n69119 100000\n90753 100000\n85992 100000\n13428 20227\n3944 5952\n48065 72188\n80002 100000\n75469 100000\n90130 100000\n81774 100000\n99498 100000\n29712 44752\n26280 39592\n21642 32627\n76476 100000\n3147 4759\n41169 61928\n73602 100000\n41782 62833\n51487 77278\n56039 84076\n75377 100000\n25957 39123\n34141 51392\n7326 11006\n50380 75631\n6331 9511\n73934 100000\n50626 76007\n7884 11848\n55676 83544\n43652 65617\n79847 100000\n5867 8818\n3537 5341\n86924 100000\n55671 83537\n89134 100000\n99267 100000\n43130 64834\n66670 99997\n94226 100000\n11920 17930\n91193 100000\n83813 100000\n20086 30253\n29437 44328\n24058 36263\n44872 67440\n93791 100000\n49988 75043\n51112 76722\n94512 100000\n76815 100000\n41416 62294\n959 1432\n86627 100000\n3312 5008\n76881 100000\n38875 58486\n42110 63322\n87190 100000\n62348 93528\n31633 47640\n39553 59502\n32251 48570\n93433 100000\n29340 44186\n46554 69934\n62598 93889\n91298 100000\n2528 3826\n14949 22513\n24885 37520\n15045 22656\n99730 100000\n43085 64768\n33003 49705\n617 923\n47181 70880\n6286 9442\n2778 4209\n94121 100000\n9324 14013\n23409 35275\n60346 90539\n21138 31859\n30687 46225\n68936 100000\n51826 77806\n67526 100000\n44778 67304\n37404 56252\n58310 87463\n92353 100000\n78903 100000\n53958 80965\n11393 17145\n15459 23287\n18177 27386\n57270 85919\n92501 100000\n63369 95039\n36901 55499\n54692 82051\n54555 81854\n23750 35800\n94756 100000\n59641 89471\n2082 3148\n25141 37890\n92126 100000\n22756 34283\n83200 100000\n51433 77194\n51545 77372\n50018 75088\n90925 100000\n79834 100000\n22720 34228\n78627 100000\n54893 82354\n27603 41567\n3089 4669\n32317 48671\n41742 62774\n59750 89635\n97698 100000\n98521 100000\n10400 15648\n76376 100000\n44783 67311\n51897 77907\n65840 98743\n27707 41722\n48754 73207\n81663 100000\n30738 46304\n62926 94368\n5509 8270\n66151 99224\n85594 100000\n26658 40158\n93650 100000\n40534 60966\n62160 93251\n87568 100000\n53626 80476\n82644 100000\n29604 44586\n68017 100000\n37151 55875\n36988 55630\n55374 83099\n40411 60781\n73209 100000\n36511 54915\n62127 93199\n31457 47379\n12840 19334\n11851 17829\n21364 32213\n38107 57332\n52549 78894\n36871 55454\n60108 90182\n27231 41015\n64115 96166\n18481 27852\n61781 92683\n91319 100000\n76444 100000\n8836 13275\n845 1263\n47662 71591\n37286 56079\n42042 63220\n28519 42934\n48959 73510\n27843 41922\n83 123\n78174 100000\n67870 100000\n68752 100000\n52503 78814\n28289 42597\n4228 6376\n27374 41222\n20112 30289\n29155 43904\n31066 46779\n45002 67631\n23521 35451\n73322 100000\n57062 85602\n39563 59515\n50267 75470\n858 1282\n96005 100000\n89892 100000\n66342 99510\n61156 91757\n32839 49444\n97157 100000\n49736 74682\n26998 40668\n44512 66897\n43938 66039\n93638 100000\n58790 88190\n71540 100000\n93624 100000\n97762 100000\n68114 100000\n9175 13786\n33205 50001\n35097 52800\n29711 44751\n27102 40817\n29435 44325\n20228 30461\n26624 40107\n60687 91054\n9037 13579\n16646 25074\n98494 100000\n21201 31954\n3296 4988\n80391 100000\n60402 90626\n75871 100000\n16597 24997\n85458 100000\n87040 100000\n3400 5141\n68196 100000\n16051 24185\n12820 19310\n51910 77925\n30109 45364\n92931 100000\n62765 94138\n91782 100000\n63351 95017\n33566 50534\n19840 29876\n75733 100000\n38406 57785\n63127 94676\n58303 87452\n10968 16511\n83938 100000\n26357 39709\n23599 35572\n62264 93406\n5585 8383\n5567 8354\n53905 80889\n67032 100000\n45926 68984\n41937 63066\n60202 90326\n12515 18827\n18247 27495\n50098 75212\n85801 100000\n76774 100000\n69676 100000\n54718 82089\n54394 81608\n34044 51248\n3470 5246\n55705 83588\n26406 39784\n64726 97080\n41832 62909\n9261 13917\n7397 11115\n86530 100000\n59913 89889\n44163 66372\n12942 19492\n56536 84815\n41821 62892\n31338 47195\n4140 6247\n9561 14375\n51818 77794\n52164 78308\n67501 100000\n96265 100000\n48402 72682\n9111 13689\n44927 67515\n67460 100000\n57132 85706\n24789 37367\n85229 100000\n75879 100000\n3247 4914\n70702 100000\n44780 67307\n14001 21083\n2706 4088\n37717 56723\n26925 40564\n7313 10986\n3128 4733\n17545 26434\n12993 19572\n37010 55664\n25143 37892\n56733 85113\n53229 79909\n49658 74570\n27673 41673\n97511 100000\n62074 93118\n13419 20212\n32468 48890\n2311 3498\n25187 37956\n28217 42487\n40981 61638\n35339 53156\n45685 68633\n37180 55919\n88066 100000\n66810 100000\n55105 82679\n73314 100000\n48069 72194\n78877 100000\n32925 49578\n28418 42787\n96108 100000\n63192 94776\n8343 12526\n15099 22736\n19288 29059\n19589 29502\n62801 94190\n40924 61546\n43348 65168\n26679 40191\n32061 48283\n22159 33404\n2127 3219\n77263 100000\n48665 73072\n39735 59778\n46566 69952\n58201 87300\n9751 14657\n86086 100000\n65915 98857\n89018 100000\n40108 60328\n27312 41133\n88649 100000\n29870 44995\n35481 53373\n25093 37822\n84746 100000\n15146 22809\n56106 84179\n18156 27351\n39466 59374\n70926 100000\n90481 100000\n29136 43871\n71025 100000\n81220 100000\n62977 94445\n71316 100000\n83484 100000\n4867 7338\n40149 60387\n95741 100000\n39821 59908\n55883 83841\n76464 100000\n51058 76642\n11779 17724\n61874 92823\n61459 92210\n20631 31073\n10081 15166\n9574 14394\n91314 100000\n49515 74358\n99177 100000\n66521 99777\n79409 100000\n73848 100000\n83390 100000\n77029 100000\n6556 9839\n17481 26338\n2447 3697\n3075 4650\n133 194\n68257 100000\n18921 28506\n44114 66297\n80363 100000\n4329 6530\n97639 100000\n5999 9012\n97607 100000\n94180 100000\n6871 10315\n17176 25880\n94328 100000\n60919 91397\n41914 63031\n81905 100000\n34440 51834\n48949 73496\n50138 75278\n987 1476\n44453 66805\n17872 26923\n42679 64167\n60547 90840\n31920 48073\n61027 91561\n82215 100000\n762 1143\n16930 25502\n29372 44232\n42644 64118\n8319 12492\n87348 100000\n37069 55756\n83583 100000\n33621 50620\n50225 75405\n42492 63890\n98883 100000\n86017 100000\n43189 64922\n87010 100000\n12175 18320\n10639 15996\n22177 33428\n41299 62122\n62157 93246\n84235 100000\n75840 100000\n52799 79257\n89347 100000\n6950 10433\n67781 100000\n6947 10428\n52303 78516\n55261 82919\n37866 56958\n11690 17594\n56484 84736\n19731 29721\n14276 21483\n27434 41311\n23486 35394\n64754 97119\n67724 100000\n33069 49803\n93688 100000\n91917 100000\n83718 100000\n35357 53185\n11354 17087\n65106 97645\n88009 100000\n37651 56620\n24187 36455\n16417 24733\n75461 100000\n35247 53023\n25060 37773\n2977 4503\n22453 33835\n35887 53972\n56807 85214\n69985 100000\n11108 16721\n56491 84748\n35489 53383\n46499 69855\n65745 98606\n25427 38324\n27396 41252\n34539 51976\n78422 100000\n45112 67801\n70437 100000\n24044 36245\n96216 100000\n19106 28778\n49494 74322\n10681 16064\n24613 37090\n91570 100000\n45118 67809\n62433 93651\n2124 3214\n24811 37406\n37784 56831\n69271 100000\n80626 100000\n40753 61295\n76853 100000\n95503 100000\n58581 87859\n85408 100000\n55649 83507\n90239 100000\n24669 37172\n30700 46245\n39436 59330\n26246 39541\n52442 78725\n75668 100000\n53123 79752\n81212 100000\n10124 15231\n73487 100000\n42453 63835\n8858 13308\n92643 100000\n52526 78852\n10391 15633\n27417 41284\n60436 90672\n45883 68922\n37136 55854\n90425 100000\n65800 98680\n72138 100000\n33803 50894\n79159 100000\n70910 100000\n31079 46798\n56922 85394\n85170 100000\n21017 31676\n52109 78221\n19349 29147\n19158 28860\n39925 60051\n51534 77353\n376 547\n52817 79285\n69844 100000\n9238 13880\n49261 73972\n31443 47355\n93770 100000\n33929 51087\n51735 77664\n19305 29085\n62443 93665\n83315 100000\n15713 23673\n85432 100000\n75494 100000\n63023 94513\n35101 52808\n40887 61498\n56452 84687\n92692 100000\n76790 100000\n75117 100000\n41731 62757\n80707 100000\n36722 55229\n42436 63808\n15995 24100\n52044 78124\n32502 48945\n63723 95588\n34074 51296\n38897 58519\n67948 100000\n42144 63374\n31424 47329\n63990 95981\n28758 43303\n63442 95149\n89446 100000\n16592 24989\n23227 35006\n15733 23700\n46352 69635\n2507 3792\n72594 100000\n37415 56268\n4032 6083\n72624 100000\n91716 100000\n13765 20727\n42169 63407\n57475 86220\n60164 90271\n5352 8039\n96621 100000\n99151 100000\n54553 81851\n17809 26834\n51113 76724\n40703 61218\n84780 100000\n62098 93154\n23323 35149\n87244 100000\n1776 2679\n31131 46880\n43503 65395\n53681 80561\n50927 76457\n65475 98214\n1171 1747\n86177 100000\n37903 57015\n57780 86673\n81677 100000\n6957 10444\n60137 90226\n19467 29321\n69588 100000\n64697 97035\n65346 98009\n79550 100000\n68241 100000\n84305 100000\n51937 77964\n36954 55578\n55012 82537\n60772 91194\n75273 100000\n50249 75440\n28974 43631\n87169 100000\n74365 100000\n80443 100000\n92354 100000\n72512 100000\n9984 15016\n61115 91698\n50312 75535\n55164 82772\n607 908\n5965 8965\n59702 89562\n57494 86243\n48030 72137\n36556 54986\n86326 100000\n68205 100000\n15692 23647\n79292 100000\n64064 96088\n9995 15035\n40205 60467\n62398 93599\n53133 79766\n60415 90645\n72883 100000\n64463 96685\n50333 75566\n20742 31253\n61132 91721\n24152 36400\n60087 90149\n96013 100000\n75144 100000\n56521 84791\n33402 50286\n92211 100000\n19383 29197\n78911 100000\n17803 26824\n37881 56982\n97298 100000\n30018 45222\n4717 7112\n3024 4574\n33174 49956\n99523 100000\n11510 17322\n65696 98537\n25262 38073\n78887 100000\n7260 10903\n9288 13956\n89580 100000\n59734 89611\n34564 52012\n88914 100000\n29607 44591\n87046 100000\n92566 100000\n86052 100000\n64477 96705\n86476 100000\n37987 57142\n77205 100000\n25026 37716\n83186 100000\n5546 8320\n43577 65503\n95892 100000\n8014 12038\n61656 92501\n9017 13549\n91530 100000\n6630 9950\n15280 23012\n81725 100000\n34706 52225\n9528 14324\n95951 100000\n98935 100000\n41498 62412\n9660 14521\n90682 100000\n21960 33114\n15200 22888\n79333 100000\n23998 36175\n11261 16946\n43265 65040\n21745 32773\n40813 61384\n96487 100000\n9503 14288\n56907 85366\n86766 100000\n14288 21502\n7530 11315\n37592 56536\n9277 13941\n50549 75889\n25271 38085\n58706 88049\n82428 100000\n81451 100000\n66641 99950\n30302 45652\n13668 20579\n48543 72896\n19883 29948\n60083 90144\n70913 100000\n48310 72544\n37169 55903\n56353 84539\n49652 74562\n99050 100000\n14706 22136\n45774 68763\n72812 100000\n46226 69440\n43179 64905\n16966 25554\n34678 52185\n36537 54953\n18725 28221\n69870 100000\n80921 100000\n12941 19491\n45949 69023\n92249 100000\n85975 100000\n90872 100000\n40051 60246\n23565 35520\n30163 45448\n86835 100000\n3341 5054\n93208 100000\n33596 50579\n76699 100000\n63130 94680\n64898 97340\n80734 100000\n20010 30139\n4880 7358\n99783 100000\n97214 100000\n24349 36696\n60189 90306\n31683 47713\n35764 53788\n60604 90930\n29650 44656\n17837 26872\n28070 42262\n78192 100000\n86040 100000\n41404 62277\n48391 72667\n46940 70512\n50038 75118\n20455 30802\n97560 100000\n92592 100000\n96818 100000\n69694 100000\n61593 92405\n62878 94300\n93831 100000\n59069 88614\n18894 28466\n80194 100000\n74190 100000\n85129 100000\n78794 100000\n23916 36049\n28980 43638\n27011 40686\n54564 81868\n82021 100000\n83571 100000\n64877 97305\n50376 75626\n90735 100000\n49166 73826\n79888 100000\n3196 4835\n35700 53693\n38525 57962\n41104 61825\n18169 27374\n5381 8080\n69341 100000\n78955 100000\n24063 36268\n21803 32866\n5621 8439\n64684 97016\n69697 100000\n49060 73663\n96297 100000\n38445 57844\n27413 41278\n32884 49512\n13049 19654\n15872 23919\n45363 68170\n72386 100000\n92667 100000\n60918 91396\n13305 20041\n53775 80697\n47429 71246\n56924 85397\n75017 100000\n50293 75509\n81306 100000\n82255 100000\n61340 92034\n90149 100000\n67859 100000\n40366 60714\n54385 81596\n92204 100000\n39855 59958\n95093 100000\n32826 49426\n20609 31041\n25170 37930\n8941 13432\n84425 100000\n53205 79872\n5611 8424\n22584 34023\n36370 54704\n28695 43204\n79941 100000\n45189 67914\n31591 47578\n97890 100000\n10180 15313\n11893 17890\n17286 26049\n75679 100000\n35638 53596\n14227 21416\n59990 89998\n91078 100000\n95258 100000\n14077 21200\n7972 11975\n76334 100000\n98670 100000\n2774 4203\n80838 100000\n56916 85383\n1176 1755\n96622 100000\n58584 87862\n92606 100000\n67162 100000\n55234 82879\n81827 100000\n64504 96748\n50048 75135\n79007 100000\n88630 100000\n99126 100000\n10174 15304\n49597 74485\n18339 27637\n84413 100000\n34724 52251\n72142 100000\n38263 57572\n34560 52007\n91873 100000\n80045 100000\n83128 100000\n49673 74592\n37828 56901\n40293 60603\n7232 10864\n48804 73279\n97343 100000\n58817 88231\n37504 56400\n45391 68212\n75025 100000\n39546 59491\n1489 2236\n6128 9202\n57126 85699\n96023 100000\n69794 100000\n22275 33578\n33775 50852\n82665 100000\n69513 100000\n98896 100000\n95041 100000\n35264 53046\n29384 44248\n26328 39662\n23454 35344\n78667 100000\n22285 33590\n95274 100000\n32549 49015\n34686 52196\n72516 100000\n29752 44818\n50315 75538\n18018 27144\n9955 14970\n50391 75648\n11375 17119\n17088 25743\n98890 100000\n66609 99908\n53173 79824\n62934 94382\n90163 100000\n41175 61937\n54620 81949\n58978 88479\n80250 100000\n83233 100000\n45397 68220\n10087 15174\n6289 9448\n18170 27376\n57957 86944\n84529 100000\n65980 98961\n97027 100000\n22324 33648\n93805 100000\n29846 44960\n67825 100000\n96995 100000\n81365 100000\n99052 100000\n18752 28262\n89614 100000\n40365 60713\n46647 70071\n53252 79941\n84248 100000\n64675 97001\n49551 74411\n93542 100000\n4680 7057\n83479 100000\n60839 91284\n23660 35662\n32835 49438\n83937 100000\n63365 95034\n3267 4946\n50818 76291\n82960 100000\n20635 31079\n14689 22113\n65401 98095\n62278 93427\n66163 99245\n12019 18075\n45970 69057\n94947 100000\n16395 24700\n20708 31198\n16026 24147\n40748 61289\n54140 81225\n76877 100000\n4375 6596\n22368 33711\n66274 99409\n99855 100000\n11725 17645\n71783 100000\n86706 100000\n27701 41714\n48747 73196\n20927 31534\n1323 1980\n24673 37179\n6679 10029\n14620 22010\n21231 32000\n47457 71289\n31665 47689\n64233 96337\n17476 26329\n68488 100000\n66601 99895\n43303 65100\n52186 78343\n15774 23762\n22244 33530\n3266 4944\n40927 61551\n40436 60816\n20422 30751\n11811 17772\n36337 54655\n98955 100000\n27093 40802\n93160 100000\n44482 66849\n10631 15982\n67592 100000\n63393 95079\n93716 100000\n39201 58975\n62496 93739\n59272 88914\n70869 100000\n47766 71743\n61285 91954\n12513 18825\n18774 28290\n29409 44282\n4695 7079\n90424 100000\n40282 60585\n73043 100000\n96916 100000\n88955 100000\n76080 100000\n33136 49903\n50443 75726\n97514 100000\n47907 71954\n72610 100000\n54961 82461\n66991 100000\n24243 36537\n48017 72119\n68400 100000\n25772 38856\n12114 18221\n96277 100000\n16940 25515\n97456 100000\n35864 53942\n19127 28812\n89758 100000\n5214 7843\n64452 96672\n99906 100000\n59533 89313\n14442 21737\n71116 100000\n52432 78713\n73545 100000\n62831 94234\n190 275\n51871 77871\n24414 36794\n59877 89834\n10028 15086\n90752 100000\n32742 49293\n7459 11213\n21493 32403\n96124 100000\n90128 100000\n86709 100000\n88450 100000\n18846 28398\n64801 97196\n92514 100000\n13383 20157\n25588 38566\n39928 60056\n7699 11566\n59828 89763\n7969 11971\n96691 100000\n28650 43133\n35159 52894\n96246 100000\n56746 85130\n66833 100000\n80808 100000\n37681 56664\n22398 33755\n33393 50272\n97771 100000\n88479 100000\n90116 100000\n82513 100000\n39681 59700\n33488 50416\n3635 5488\n78599 100000\n44728 67227\n79670 100000\n12 16\n78187 100000\n91745 100000\n96423 100000\n59759 89650\n63035 94532\n97290 100000\n17967 27071\n75367 100000\n25493 38425\n39007 58682\n90952 100000\n77316 100000\n63839 95763\n5760 8648\n42387 63732\n66869 100000\n58950 88433\n44919 67503\n90933 100000\n40437 60817\n33485 50411\n15269 22995\n79647 100000\n63528 95282\n84622 100000\n31919 48071\n13367 20131\n62984 94455\n28649 43131\n10624 15971\n54031 81075\n99932 100000\n49110 73736\n15142 22802\n13036 19634\n45481 68339\n46831 70343\n94015 100000\n52584 78949\n99873 100000\n10977 16525\n43213 64958\n16779 25267\n19847 29887\n98068 100000\n45535 68413\n12355 18583\n63058 94571\n11363 17101\n75945 100000\n86831 100000\n83691 100000\n68664 100000\n26603 40076\n41203 61982\n64882 97313\n3424 5180\n19664 29614\n45761 68742\n54549 81847\n92445 100000\n88293 100000\n71875 100000\n34620 52095\n96090 100000\n77664 100000\n24617 37095\n62034 93062\n2155 3260\n43501 65391\n26577 40041\n61369 92077\n77422 100000\n45415 68244\n1821 2749\n29819 44916\n10414 15667\n95974 100000\n22263 33559\n74989 100000\n65430 98142\n22832 34394\n49529 74378\n69238 100000\n16101 24264\n43367 65197\n7263 10907\n42557 63987\n12962 19524\n57940 86918\n14642 22045\n77139 100000\n33433 50334\n64804 97201\n37411 56262\n38805 58379\n61687 92547\n25882 39020\n33670 50692\n83956 100000\n97535 100000\n64160 96234\n56877 85323\n54422 81652\n83522 100000\n16396 24701\n82377 100000\n51063 76649\n80231 100000\n7698 11565\n66934 100000\n94087 100000\n71073 100000\n32432 48833\n81908 100000\n30821 46416\n5644 8473\n828 1240\n80866 100000\n86048 100000\n38616 58090\n32060 48282\n75583 100000\n51175 76819\n81709 100000\n21176 31919\n31098 46829\n90305 100000\n51400 77147\n62354 93537\n88288 100000\n47179 70877\n1587 2386\n14507 21841\n93269 100000\n43069 64746\n20400 30717\n98491 100000\n93132 100000\n97640 100000\n39004 58678\n56871 85313\n23471 35372\n50934 76465\n2633 3981\n12443 18714\n11328 17051\n19612 29541\n15574 23463\n83215 100000\n77202 100000\n16414 24728\n26430 39819\n15321 23076\n61872 92820\n6616 9926\n3839 5782\n90302 100000\n913 1365\n70617 100000\n49101 73722\n68581 100000\n57315 85990\n35140 52863\n18153 27347\n38471 57876\n76723 100000\n937 1399\n73473 100000\n2791 4231\n8234 12367\n73189 100000\n52958 79501\n46326 69596\n14869 22390\n6460 9704\n26810 40385\n70298 100000\n76903 100000\n66577 99858\n12843 19337\n20523 30905\n70729 100000\n53454 80235\n99841 100000\n54855 82297\n29378 44239\n25720 38776\n54339 81525\n51658 77543\n51055 76638\n20242 30480\n83468 100000\n97794 100000\n3059 4626\n8026 12056\n96212 100000\n16078 24227\n62827 94229\n72955 100000\n43086 64770\n67054 100000\n73345 100000\n71882 100000\n20281 30539\n51179 76824\n36853 55424\n51802 77767\n72421 100000\n65183 97770\n88945 100000\n28013 42167\n49677 74598\n68926 100000\n85894 100000\n55385 83114\n65124 97672\n91658 100000\n4703 7089\n36101 54294\n73802 100000\n75673 100000\n51619 77483\n69188 100000\n69275 100000\n76792 100000\n78062 100000\n21622 32598\n5981 8988\n59601 89413\n68496 100000\n22222 33497\n7145 10732\n49557 74420\n89700 100000\n55454 83217\n93020 100000\n85212 100000\n94244 100000\n54600 81920\n68961 100000\n66590 99876\n674 1007\n79300 100000\n51111 76721\n51360 77085\n58740 88110\n21293 32100\n28931 43565\n97275 100000\n62792 94174\n23108 34830\n69902 100000\n61990 92996\n887 1325\n23152 34894\n42617 64077\n66977 100000\n54659 82003\n28930 43563\n13039 19639\n65078 97604\n51326 77034\n62131 93205\n17275 26034\n99385 100000\n41759 62801\n62189 93296\n46071 69206\n1523 2286\n69203 100000\n22741 34260\n2153 3258\n44447 66797\n33036 49757\n71889 100000\n90074 100000\n10750 16166\n30770 46346\n27781 41834\n90115 100000\n41952 63089\n95751 100000\n38985 58647\n93511 100000\n17694 26664\n63394 95081\n98309 100000\n12611 18975\n70854 100000\n71480 100000\n98115 100000\n29554 44507\n81578 100000\n91105 100000\n10282 15466\n92575 100000\n83090 100000\n26195 39468\n66666 99990\n30306 45657\n99521 100000\n57166 85758\n27110 40830\n51941 77970\n17965 27068\n55927 83907\n52662 79054\n88415 100000\n87157 100000\n70858 100000\n38594 58061\n95658 100000\n88725 100000\n56670 85013\n80875 100000\n94469 100000\n55004 82526\n37718 56724\n49296 74018\n43984 66109\n18104 27275\n16664 25100\n89387 100000\n6163 9253\n4560 6877\n13290 20018\n72867 100000\n59802 89719\n27867 41960\n36345 54668\n46010 69116\n90445 100000\n56969 85463\n18818 28357\n62530 93788\n7967 11969\n83617 100000\n26332 39668\n94486 100000\n20150 30344\n82587 100000\n89310 100000\n28205 42470\n79440 100000\n30865 46477\n57008 85522\n65704 98550\n90307 100000\n72949 100000\n57935 86910\n68647 100000\n91774 100000\n203 292\n69632 100000\n16644 25070\n26836 40427\n22273 33574\n19526 29411\n56195 84313\n93389 100000\n17675 26634\n58665 87984\n57009 85524\n90352 100000\n31437 47345\n94556 100000\n75811 100000\n14190 21364\n33238 50054\n97452 100000\n76526 100000\n11301 17007\n15466 23298\n12928 19470\n86520 100000\n33196 49987\n13819 20807\n97850 100000\n61073 91629\n16818 25322\n14993 22579\n8477 12727\n47904 71950\n39203 58977\n57739 86607\n25502 38438\n46903 70450\n64336 96492\n57383 86087\n1971 2973\n49857 74857\n58743 88115\n76609 100000\n62526 93782\n81837 100000\n58887 88335\n71913 100000\n55531 83329\n46298 69555\n68774 100000\n59301 88962\n72592 100000\n2553 3863\n96360 100000\n82251 100000\n31646 47659\n73940 100000\n11662 17548\n46574 69965\n16694 25145\n4380 6604\n48983 73549\n31510 47459\n47195 70903\n48912 73435\n11003 16563\n52213 78385\n47032 70660\n77329 100000\n20167 30373\n30839 46441\n52291 78498\n84109 100000\n40912 61529\n66136 99200\n88786 100000\n78949 100000\n81192 100000\n96560 100000\n55309 82995\n10695 16087\n8040 12077\n34258 51568\n53581 80412\n95318 100000\n92492 100000\n68777 100000\n81657 100000\n92745 100000\n98065 100000\n76369 100000\n16502 24858\n53821 80767\n77420 100000\n56249 84392\n17992 27108\n1575 2366\n44066 66227\n24290 36608\n19166 28873\n45357 68162\n26644 40137\n53172 79823\n57387 86095\n74934 100000\n43212 64956\n87057 100000\n90347 100000\n40394 60756\n97092 100000\n27579 41531\n47127 70804\n22092 33305\n65579 98366\n31740 47799\n60208 90335\n80309 100000\n39430 59321\n43517 65417\n11960 17988\n63439 95145\n11082 16681\n53168 79818\n27811 41879\n66204 99304\n2251 3409\n20975 31606\n9074 13635\n17420 26241\n69049 100000\n29518 44453\n85435 100000\n252 358\n36628 55098\n8111 12184\n82348 100000\n8939 13428\n40641 61125\n78386 100000\n69492 100000\n6352 9537\n40181 60435\n34811 52378\n80186 100000\n83794 100000\n28655 43142\n99464 100000\n21615 32586\n54252 81396\n78952 100000\n89611 100000\n24357 36708\n66608 99906\n32544 49009\n28873 43475\n41543 62481\n18730 28228\n18567 27989\n15462 23291\n52074 78166\n77230 100000\n48252 72460\n28018 42174\n57693 86533\n96800 100000\n50886 76393\n11863 17847\n35254 53032\n17233 25970\n34263 51576\n45320 68106\n7279 10933\n76118 100000\n99237 100000\n25304 38135\n50453 75740\n12557 18892\n51384 77122\n37019 55679\n37285 56077\n82790 100000\n79059 100000\n70771 100000\n7810 11731\n51284 76977\n81950 100000\n44681 67152\n84632 100000\n1307 1959\n94502 100000\n18798 28327\n77013 100000\n79992 100000\n73647 100000\n77476 100000\n93046 100000\n48668 73075\n25145 37896\n19551 29446\n20544 30936\n62434 93652\n84596 100000\n11665 17553\n83287 100000\n31939 48104\n36505 54908\n90819 100000\n87141 100000\n81638 100000\n3209 4855\n66978 100000\n81879 100000\n15113 22758\n9394 14119\n77913 100000\n30747 46317\n88760 100000\n9499 14282\n57212 85826\n62802 94191\n67322 100000\n98675 100000\n47145 70827\n5969 8971\n51495 77291\n41975 63124\n93975 100000\n42791 64325\n77430 100000\n88892 100000\n7727 11610\n63871 95809\n51306 77006\n45907 68958\n22381 33729\n51662 77551\n41658 62648\n83773 100000\n68861 100000\n61142 91738\n51971 78019\n39099 58817\n68482 100000\n21264 32051\n9922 14920\n2435 3679\n4921 7420\n89639 100000\n55629 83475\n78372 100000\n23336 35167\n89888 100000\n93125 100000\n23566 35521\n30548 46013\n13111 19750\n14852 22361\n76694 100000\n84367 100000\n25652 38672\n39220 58999\n48943 73485\n13239 19940\n90785 100000\n77213 100000\n16814 25317\n9498 14280\n17193 25909\n54497 81773\n22045 33235\n23780 35843\n16440 24765\n12861 19365\n3419 5171\n17073 25724\n11095 16700\n28888 43498\n70597 100000\n70936 100000\n39291 59109\n82595 100000\n78133 100000\n2494 3774\n98156 100000\n13099 19732\n66365 99545\n12608 18970\n89478 100000\n27034 40718\n13629 20518\n62333 93506\n50789 76250\n32803 49392\n28751 43294\n38065 57267\n77090 100000\n1061 1584\n71770 100000\n99587 100000\n46256 69488\n95939 100000\n11644 17520\n43528 65433\n77175 100000\n73907 100000\n37165 55898\n9149 13746\n71943 100000\n32478 48908\n58392 87579\n56433 84660\n43084 64767\n44084 66252\n62119 93188\n37161 55892\n90574 100000\n38867 58477\n10764 16188\n1702 2563\n76291 100000\n18187 27403\n42192 63440\n21174 31915\n1579 2372\n5747 8632\n21210 31968\n39024 58708\n65073 97596\n94785 100000\n77651 100000\n67026 100000\n37301 56101\n13199 19880\n49824 74808\n34143 51394\n23924 36057\n39668 59680\n8020 12048\n16719 25179\n64236 96341\n2376 3592\n26290 39607\n11325 17047\n92221 100000\n39849 59947\n22840 34408\n40545 60984\n63698 95550\n15537 23408\n25695 38738\n7019 10534\n69023 100000\n7331 11012\n41449 62342\n37166 55899\n16636 25058\n96638 100000\n41342 62184\n34198 51478\n43050 64715\n79901 100000\n1881 2837\n36327 54639\n79930 100000\n35515 53420\n18180 27391\n153 222\n63076 94598\n75209 100000\n47026 70651\n47487 71334\n112 165\n88247 100000\n71863 100000\n15441 23263\n53679 80558\n15231 22936\n7660 11512\n71380 100000\n35288 53081\n56169 84276\n39326 59167\n52702 79114\n71592 100000\n20760 31279\n64305 96445\n17067 25713\n27356 41195\n61866 92809\n57908 86866\n13871 20888\n55423 83172\n42578 64014\n69603 100000\n97229 100000\n71324 100000\n6250 9387\n25585 38561\n93829 100000\n90557 100000\n15685 23637\n13270 19988\n83465 100000\n92068 100000\n60789 91220\n37121 55829\n84315 100000\n15777 23767\n21974 33133\n18447 27800\n1701 2562\n99850 100000\n30913 46549\n24632 37119\n13686 20606\n5946 8940\n17415 26234\n43047 64710\n72257 100000\n64097 96139\n12695 19109\n58605 87894\n24770 37334\n19469 29324\n6334 9514\n69015 100000\n99293 100000\n52214 78386\n68957 100000\n30537 45997\n78841 100000\n12339 18558\n7087 10638\n60110 90184\n51118 76731\n56940 85418\n28715 43235\n63712 95571\n47818 71824\n93193 100000\n21254 32035\n6011 9030\n14245 21441\n22430 33803\n19047 28687\n65521 98286\n80511 100000\n93958 100000\n83401 100000\n37682 56666\n43449 65314\n38725 58252\n70878 100000\n76184 100000\n4819 7264\n2101 3176\n76405 100000\n20660 31116\n57778 86669\n79871 100000\n99003 100000\n18990 28605\n74410 100000\n34663 52165\n16674 25116\n18256 27509\n45562 68451\n64883 97314\n5744 8629\n31482 47416\n9470 14237\n97443 100000\n18273 27536\n77080 100000\n73304 100000\n2598 3930\n82060 100000\n11860 17843\n9535 14335\n66706 100000\n88980 100000\n20251 30492\n28756 43300\n75173 100000\n98217 100000\n57278 85931\n74100 100000\n65753 98618\n56677 85025\n44055 66211\n87370 100000\n76816 100000\n68308 100000\n16123 24301\n59550 89341\n96609 100000\n24796 37381\n46545 69920\n16858 25385\n52466 78762\n17968 27072\n13900 20934\n5988 8998\n50725 76152\n2475 3741\n68160 100000\n34933 52552\n57444 86180\n90345 100000\n99062 100000\n8992 13508\n93668 100000\n23812 35894\n94787 100000\n95541 100000\n69050 100000\n51909 77924\n50058 75152\n7628 11461\n91935 100000\n48871 73376\n30776 46354\n99584 100000\n72132 100000\n95117 100000\n41236 62026\n48935 73473\n77438 100000\n45032 67675\n41016 61691\n15863 23908\n99915 100000\n90813 100000\n21614 32584\n75037 100000\n21813 32879\n17600 26522\n18840 28390\n16893 25440\n99865 100000\n42503 63906\n42805 64346\n38794 58363\n36302 54599\n27930 42053\n51939 77967\n21777 32824\n37250 56024\n96041 100000\n85688 100000\n1023 1527\n49901 74923\n96499 100000\n97846 100000\n76693 100000\n62548 93821\n89890 100000\n4987 7511\n46262 69498\n85867 100000\n41719 62740\n70314 100000\n42311 63617\n43476 65352\n83735 100000\n69468 100000\n32683 49208\n78530 100000\n75922 100000\n13742 20688\n18517 27908\n99190 100000\n13456 20266\n66990 100000\n90893 100000\n89543 100000\n74893 100000\n81974 100000\n61910 92880\n20243 30481\n67388 100000\n38235 57527\n97843 100000\n62187 93294\n59715 89583\n51005 76566\n16028 24149\n72300 100000\n57414 86136\n40938 61569\n59530 89308\n66009 99000\n1610 2422\n50684 76090\n10135 15245\n50035 75113\n228 326\n11883 17875\n11312 17026\n55048 82591\n11702 17611\n36445 54817\n83106 100000\n84868 100000\n45145 67848\n70154 100000\n27914 42031\n22700 34200\n50232 75414\n63819 95731\n21249 32028\n58775 88166\n81819 100000\n26507 39937\n89198 100000\n34998 52649\n32218 48526\n12180 18326\n64674 96999\n67267 100000\n69165 100000\n2299 3480\n5453 8187\n8250 12390\n885 1322\n475 698\n62975 94443\n31876 48010\n37454 56325\n29981 45167\n77811 100000\n34090 51322\n30256 45589\n16949 25527\n52036 78112\n7218 10843\n71797 100000\n26608 40083\n79124 100000\n48711 73139\n88457 100000\n89012 100000\n58598 87882\n80178 100000\n58993 88501\n19755 29752\n46138 69309\n94893 100000\n92668 100000\n9779 14700\n37190 55933\n191 276\n70331 100000\n13711 20645\n23286 35091\n39637 59630\n63193 94778\n71951 100000\n77500 100000\n76325 100000\n77063 100000\n40877 61481\n82204 100000\n77241 100000\n17604 26528\n85620 100000\n44197 66422\n75949 100000\n24719 37259\n13322 20067\n39113 58842\n37880 56981\n66435 99648\n5389 8091\n36380 54719\n73369 100000\n53583 80415\n86252 100000\n77696 100000\n97011 100000\n74977 100000\n6951 10435\n29487 44404\n65918 98862\n66119 99172\n66953 100000\n77889 100000\n94930 100000\n88084 100000\n73254 100000\n48367 72633\n9970 14992\n81069 100000\n5613 8427\n2192 3321\n55749 83646\n22488 33888\n41398 62269\n59740 89620\n62403 93606\n20132 30318\n47140 70821\n20694 31174\n28965 43616\n66018 99014\n43931 66025\n32639 49149\n68029 100000\n56543 84824\n98881 100000\n71005 100000\n32905 49547\n89000 100000\n60491 90758\n3782 5706\n4898 7388\n96806 100000\n29162 43916\n30240 45565\n99558 100000\n97648 100000\n18106 27277\n40975 61628\n71336 100000\n99086 100000\n21707 32717\n4911 7407\n4179 6306\n15833 23862\n4555 6870\n95655 100000\n67599 100000\n36787 55330\n59255 88887\n47619 71529\n30998 46679\n85932 100000\n82283 100000\n37164 55896\n13773 20740\n47588 71482\n91235 100000\n52065 78151\n40393 60754\n69741 100000\n75578 100000\n33075 49813\n59457 89199\n55471 83240\n71497 100000\n42808 64350\n95858 100000\n91296 100000\n2846 4313\n87895 100000\n92696 100000\n23850 35950\n63198 94787\n72292 100000\n5868 8819\n25897 39042\n32112 48361\n1103 1643\n80324 100000\n22080 33290\n36028 54181\n92079 100000\n29699 44733\n4835 7291\n2867 4344\n41428 62313\n22833 34396\n61974 92970\n94079 100000\n90457 100000\n60653 91002\n40999 61666\n56708 85075\n44752 67265\n32597 49087\n58240 87358\n12919 19457\n65927 98878\n9890 14867\n51589 77436\n21545 32483\n94178 100000\n1748 2635\n78825 100000\n94234 100000\n49210 73894\n54270 81424\n58481 87709\n19924 30009\n21620 32595\n82439 100000\n58126 87195\n756 1136\n38427 57815\n74926 100000\n99014 100000\n81405 100000\n91229 100000\n71269 100000\n24881 37513\n76512 100000\n94424 100000\n89358 100000\n78666 100000\n98959 100000\n81174 100000\n67540 100000\n39851 59951\n12482 18779\n80828 100000\n6721 10088\n89188 100000\n68625 100000\n95460 100000\n78085 100000\n95168 100000\n96231 100000\n78019 100000\n49852 74849\n7236 10869\n77599 100000\n85438 100000\n53353 80090\n63386 95068\n5407 8119\n98860 100000\n21489 32398\n61723 92600\n73632 100000\n26626 40110\n6208 9324\n27081 40785\n10684 16069\n36353 54678\n8009 12031\n60645 90992\n95339 100000\n98245 100000\n19410 29235\n19414 29241\n92245 100000\n27754 41793\n83043 100000\n69926 100000\n71614 100000\n21527 32456\n48637 73028\n81790 100000\n52381 78632\n56060 84111\n12731 19163\n2489 3766\n87473 100000\n57599 86389\n73155 100000\n15856 23898\n58677 88004\n60587 90902\n14079 21202\n11231 16896\n85555 100000\n24751 37307\n76099 100000\n69032 100000\n94053 100000\n79217 100000\n63041 94543\n1639 2468\n86145 100000\n25156 37912\n11783 17729\n56515 84781\n19060 28707\n72297 100000\n80627 100000\n72793 100000\n30662 46187\n18399 27725\n36111 54307\n35929 54039\n54050 81098\n62282 93431\n43330 65138\n30630 46137\n41794 62850\n36604 55065\n90831 100000\n60565 90869\n70971 100000\n27759 41800\n47294 71045\n38194 57466\n87027 100000\n20929 31536\n23957 36106\n41554 62496\n61987 92991\n19130 28816\n49606 74497\n92258 100000\n25375 38242\n99939 100000\n28274 42573\n96348 100000\n76204 100000\n97440 100000\n58921 88385\n52936 79465\n36368 54700\n18179 27389\n98303 100000\n6771 10167\n69230 100000\n30387 45778\n4813 7257\n77769 100000\n50109 75232\n46339 69616\n67094 100000\n84555 100000\n69765 100000\n38147 57395\n18912 28492\n70286 100000\n66334 99499\n63673 95514\n85552 100000\n15365 23153\n90529 100000\n80873 100000\n98102 100000\n41577 62528\n68985 100000\n37119 55827\n75613 100000\n18637 28092\n18591 28025\n88627 100000\n7704 11574\n27101 40816\n21325 32151\n5028 7570\n69470 100000\n83896 100000\n72625 100000\n13915 20956\n58573 87846\n86724 100000\n16449 24776\n58002 87008\n37061 55743\n77955 100000\n75588 100000\n37459 56334\n59071 88617\n18838 28388\n84142 100000\n18208 27438\n28602 43062\n89922 100000\n11677 17572\n98212 100000\n84186 100000\n14700 22127\n75462 100000\n95640 100000\n603 902\n8364 12555\n59541 89325\n66224 99333\n72961 100000\n21366 32217\n24164 36420\n73234 100000\n7503 11279\n46976 70570\n22186 33441\n23758 35809\n33632 50637\n6173 9268\n57738 86605\n14943 22503\n64124 96179\n87545 100000\n27695 41705\n59490 89248\n34401 51776\n18687 28166\n59360 89051\n31365 47237\n9949 14960\n73340 100000\n90828 100000\n92268 100000\n23385 35241\n69367 100000\n94825 100000\n49401 74180\n91698 100000\n39448 59345\n70536 100000\n45245 67996\n32150 48420\n44836 67389\n12725 19153\n45004 67634\n93323 100000\n60203 90328\n13174 19845\n83653 100000\n93786 100000\n67194 100000\n85531 100000\n48444 72741\n12011 18063\n81539 100000\n50943 76477\n11333 17058\n20541 30932\n50523 75848\n5083 7650\n47648 71570\n6643 9968\n59362 89054\n23882 35999\n33549 50506\n70912 100000\n61104 91682\n97238 100000\n82124 100000\n2325 3516\n71179 100000\n26568 40027\n59975 89977\n83593 100000\n57280 85934\n38635 58118\n18795 28323\n43586 65517\n96281 100000\n14857 22369\n13512 20344\n54540 81833\n22418 33785\n69971 100000\n74988 100000\n63590 95384\n63681 95525\n68271 100000\n3755 5668\n19890 29957\n3757 5671\n75483 100000\n65851 98757\n18412 27745\n2508 3794\n76383 100000\n95531 100000\n38660 58155\n99852 100000\n51712 77628\n15573 23462\n39345 59196\n66824 100000\n67315 100000\n6305 9471\n67500 100000\n6656 9991\n26471 39885\n38139 57381\n62466 93698\n57642 86456\n14225 21414\n12587 18938\n29911 45054\n36644 55120\n13357 20118\n98190 100000\n48302 72534\n32307 48657\n46272 69514\n42207 63464\n46053 69179\n94518 100000\n44130 66322\n41537 62473\n48958 73508\n76560 100000\n31288 47122\n19370 29177\n72760 100000\n8365 12556\n2600 3933\n57113 85679\n34987 52632\n95621 100000\n55060 82612\n96871 100000\n5538 8311\n98863 100000\n77076 100000\n7957 11956\n94281 100000\n70883 100000\n73098 100000\n331 476\n68276 100000\n94077 100000\n96153 100000\n35979 54110\n53115 79739\n57503 86257\n73404 100000\n14045 21153\n75752 100000\n12619 18987\n24430 36818\n41096 61812\n67653 100000\n77006 100000\n68518 100000\n8660 13002\n27518 41444\n82264 100000\n8290 12450\n42931 64537\n41820 62891\n28850 43442\n46085 69227\n21115 31824\n63743 95615\n39689 59711\n12107 18211\n52794 79249\n61646 92487\n25192 37963\n38845 58442\n34459 51861\n29013 43691\n89737 100000\n86340 100000\n27184 40943\n9697 14575\n78193 100000\n52764 79206\n62682 94020\n6640 9965\n48832 73321\n98222 100000\n21207 31964\n98022 100000\n89186 100000\n21 30\n45667 68606\n24538 36973\n72479 100000\n29890 45021\n83310 100000\n98701 100000\n20511 30888\n62031 93059\n10912 16419\n13316 20058\n38982 58643\n92546 100000\n37385 56225\n54073 81130\n51594 77443\n71376 100000\n51054 76637\n30185 45481\n78431 100000\n90408 100000\n69708 100000\n12967 19532\n88646 100000\n14796 22275\n65027 97531\n36990 55633\n65025 97529\n11079 16676\n47841 71855\n80998 100000\n81610 100000\n79855 100000\n51431 77191\n14751 22204\n42052 63238\n54795 82207\n71694 100000\n58792 88192\n84989 100000\n81156 100000\n60232 90371\n84537 100000\n71760 100000\n84301 100000\n80042 100000\n64522 96775\n32859 49472\n11004 16564\n3219 4872\n14278 21486\n44363 66672\n41899 63008\n38850 58451\n66555 99826\n66551 99820\n99353 100000\n99583 100000\n18660 28128\n94840 100000\n51255 76933\n51762 77705\n91498 100000\n25234 38029\n83641 100000\n84890 100000\n11411 17175\n17854 26896\n85203 100000\n20180 30389\n17332 26115\n38949 58595\n55715 83600\n46541 69914\n36752 55275\n18851 28405\n88325 100000\n73502 100000\n41587 62541\n98698 100000\n79382 100000\n3040 4597\n97218 100000\n45664 68603\n36738 55253\n54520 81805\n10745 16159\n19600 29520\n35754 53775\n16727 25192\n18742 28247\n60246 90392\n55507 83294\n90697 100000\n22408 33771\n81560 100000\n66199 99298\n49455 74261\n6690 10043\n66950 100000\n514 759\n85377 100000\n3200 4841\n25132 37879\n36963 55592\n71046 100000\n78629 100000\n6449 9687\n6889 10337\n91749 100000\n25881 39018\n82979 100000\n47413 71219\n30181 45474\n62105 93165\n44329 66617\n18522 27915\n67001 100000\n61431 92171\n45265 68026\n4848 7311\n31460 47384\n76466 100000\n94149 100000\n34484 51898\n45884 68924\n64808 97206\n27079 40782\n86776 100000\n68851 100000\n97354 100000\n44655 67116\n44435 66780\n17819 26849\n39182 58949\n57122 85693\n91637 100000\n91136 100000\n98836 100000\n96027 100000\n82964 100000\n26697 40215\n59861 89812\n38584 58046\n33827 50931\n51876 77878\n71190 100000\n98048 100000\n6225 9351\n81574 100000\n95016 100000\n71745 100000\n47054 70694\n22616 34071\n48191 72367\n49429 74223\n17754 26751\n4967 7484\n94232 100000\n46706 70160\n39908 60033\n95389 100000\n1524 2287\n83873 100000\n26199 39473\n57080 85627\n63469 95192\n11678 17573\n38519 57951\n49117 73746\n76416 100000\n9356 14061\n13875 20894\n86242 100000\n78974 100000\n42197 63449\n55599 83435\n64041 96057\n33731 50785\n58618 87915\n72068 100000\n31508 47456\n28568 43010\n84710 100000\n2589 3917\n28601 43061\n41737 62765\n48471 72783\n57803 86709\n62488 93730\n49214 73901\n26813 40390\n83900 100000\n23414 35284\n4275 6442\n67401 100000\n70904 100000\n86632 100000\n95148 100000\n62931 94376\n47422 71234\n17016 25632\n88507 100000\n63392 95077\n94715 100000\n64516 96768\n34326 51670\n6600 9903\n80252 100000\n75237 100000\n68644 100000\n62537 93801\n85662 100000\n49037 73624\n56799 85201\n13622 20506\n6078 9125\n4466 6732\n41776 62824\n84824 100000\n74033 100000\n43998 66130\n11119 16737\n62120 93189\n97297 100000\n43855 65906\n14657 22066\n36421 54781\n55297 82976\n90569 100000\n29218 44000\n51006 76567\n48137 72282\n13909 20948\n65886 98811\n75394 100000\n90125 100000\n59745 89628\n31501 47446\n85541 100000\n11477 17275\n17763 26763\n71715 100000\n72350 100000\n74493 100000\n17340 26125\n56873 85317\n23647 35641\n38573 58033\n41009 61681\n88414 100000\n87809 100000\n37431 56292\n84559 100000\n92101 100000\n23074 34772\n61701 92566\n36945 55564\n70239 100000\n79127 100000\n52008 78070\n68810 100000\n52137 78267\n22544 33969\n67150 100000\n74598 100000\n29119 43849\n91608 100000\n50123 75255\n47655 71580\n52284 78486\n59384 89086\n9530 14327\n44264 66522\n34366 51725\n92850 100000\n69973 100000\n98157 100000\n42839 64396\n72570 100000\n54167 81271\n78942 100000\n29470 44377\n96927 100000\n13347 20105\n68634 100000\n8357 12545\n33491 50422\n73709 100000\n10768 16194\n59928 89910\n24153 36402\n73748 100000\n59813 89738\n27209 40981\n17221 25954\n31376 47255\n2473 3737\n3962 5980\n25621 38622\n26762 40313\n36145 54357\n99824 100000\n55904 83876\n17274 26033\n11967 18000\n87762 100000\n42274 63561\n60413 90643\n37598 56542\n3079 4655\n33001 49702\n86473 100000\n85232 100000\n40479 60885\n55109 82687\n6433 9659\n79389 100000\n40604 61073\n47523 71390\n42034 63208\n23177 34932\n90890 100000\n31333 47189\n42782 64313\n79608 100000\n9736 14636\n99154 100000\n77940 100000\n11669 17560\n1530 2296\n34066 51282\n81520 100000\n76440 100000\n42345 63668\n45869 68903\n33269 50097\n31944 48110\n91383 100000\n38080 57290\n93112 100000\n24427 36813\n47270 71009\n15950 24035\n96188 100000\n11815 17776\n22874 34461\n30961 46622\n77278 100000\n47264 71001\n71699 100000\n7859 11807\n67726 100000\n25742 38809\n58514 87757\n89973 100000\n86748 100000\n41021 61700\n74081 100000\n93580 100000\n8779 13187\n83539 100000\n36782 55321\n6113 9179\n3299 4992\n31417 47318\n97588 100000\n35843 53910\n65759 98625\n80447 100000\n38020 57197\n97483 100000\n25880 39016\n33254 50076\n36882 55471\n5784 8684\n92382 100000\n40068 60272\n11242 16913\n18265 27524\n76643 100000\n97867 100000\n18100 27269\n65347 98010\n27088 40794\n78849 100000\n47998 72090\n43859 65913\n75876 100000\n90340 100000\n97506 100000\n69035 100000\n91063 100000\n86414 100000\n88075 100000\n36581 55028\n62284 93434\n1607 2418\n51107 76715\n17648 26593\n83358 100000\n14942 22502\n41990 63145\n4234 6385\n68607 100000\n22703 34204\n2637 3986\n17423 26246\n23535 35475\n70266 100000\n47437 71257\n76408 100000\n34827 52402\n26495 39919\n60880 91342\n55730 83622\n39034 58722\n98805 100000\n8260 12404\n98961 100000\n6989 10493\n27539 41474\n56811 85221\n68431 100000\n96402 100000\n85205 100000\n50616 75992\n78160 100000\n7025 10545\n6949 10431\n25429 38328\n63700 95554\n61100 91676\n32245 48561\n67411 100000\n57997 87000\n63403 95096\n68760 100000\n25967 39135\n8555 12843\n2035 3074\n92811 100000\n17616 26546\n12372 18610\n57774 86664\n72681 100000\n45428 68264\n24627 37111\n1342 2012\n74288 100000\n94499 100000\n16311 24577\n87823 100000\n25682 38718\n60181 90296\n28524 42941\n74833 100000\n28710 43228\n53178 79832\n69927 100000\n15016 22611\n88215 100000\n92371 100000\n61371 92080\n47239 70964\n61539 92325\n97009 100000\n3644 5500\n48542 72895\n90514 100000\n23868 35977\n39519 59454\n52977 79529\n35246 53022\n94517 100000\n83511 100000\n40136 60368\n74923 100000\n36113 54309\n33799 50889\n28669 43163\n77584 100000\n65440 98159\n1442 2167\n62318 93483\n36470 54854\n66084 99116\n43325 65130\n6141 9222\n12290 18489\n98613 100000\n39568 59525\n26997 40667\n70251 100000\n52144 78279\n176 254\n73496 100000\n37848 56931\n70036 100000\n80590 100000\n89504 100000\n30639 46152\n37137 55855\n88364 100000\n30721 46277\n90477 100000\n4607 6948\n18464 27827\n71257 100000\n54345 81536\n48703 73128\n47681 71617\n38916 58548\n14390 21656\n33140 49908\n69995 100000\n56477 84726\n79772 100000\n70592 100000\n56611 84925\n36494 54887\n8663 13006\n76235 100000\n26148 39401\n80917 100000\n93547 100000\n4125 6222\n61512 92285\n63572 95353\n2105 3184\n48535 72885\n90279 100000\n50967 76508\n34289 51616\n32711 49247\n80525 100000\n9004 13527\n79770 100000\n35899 53990\n70547 100000\n71985 100000\n79050 100000\n83205 100000\n81650 100000\n25708 38757\n5683 8531\n80072 100000\n79229 100000\n87434 100000\n15320 23075\n77349 100000\n4883 7364\n56127 84209\n94695 100000\n78986 100000\n42305 63607\n26873 40483\n6214 9334\n73634 100000\n77650 100000\n76999 100000\n17930 27015\n69169 100000\n71717 100000\n29882 45009\n65552 98326\n4812 7256\n7288 10947\n52545 78887\n2047 3092\n35037 52705\n73524 100000\n84904 100000\n1916 2889\n64740 97102\n32149 48419\n10271 15452\n39823 59910\n98170 100000\n50937 76468\n51060 76645\n62514 93763\n23775 35836\n39809 59889\n97900 100000\n18673 28148\n40150 60388\n22994 34651\n82209 100000\n11918 17928\n23583 35548\n7575 11382\n48726 73164\n76409 100000\n19922 30006\n51674 77569\n54541 81834\n17596 26515\n85519 100000\n7456 11209\n103 154\n37969 57114\n14541 21889\n42026 63197\n42722 64229\n79044 100000\n40536 60970\n48945 73488\n25500 38434\n11801 17758\n42442 63818\n6050 9086\n30446 45866\n35980 54111\n28683 43187\n61734 92615\n1086 1621\n52481 78782\n54898 82364\n98417 100000\n89344 100000\n6347 9530\n15758 23737\n31161 46927\n67188 100000\n89506 100000\n84865 100000\n29250 44048\n99142 100000\n9643 14495\n29241 44033\n93702 100000\n72873 100000\n50488 75793\n27533 41466\n69288 100000\n90348 100000\n2549 3856\n1726 2599\n18987 28600\n22952 34584\n5469 8213\n4014 6056\n55199 82824\n12546 18875\n99985 100000\n65476 98216\n12680 19084\n13312 20051\n94183 100000\n95750 100000\n3800 5730\n34217 51504\n69685 100000\n48357 72617\n61006 91531\n19852 29896\n49532 74383\n97587 100000\n83980 100000\n10918 16428\n48353 72611\n64787 97175\n99435 100000\n54959 82459\n2323 3513\n31632 47639\n43374 65209\n77323 100000\n51633 77507\n72037 100000\n66598 99890\n8855 13304\n29430 44316\n33317 50168\n33699 50737\n88256 100000\n77305 100000\n53057 79651\n17870 26920\n32816 49410\n25890 39031\n1453 2185\n68788 100000\n21052 31726\n39190 58961\n65690 98528\n35698 53690\n99356 100000\n43419 65272\n71120 100000\n70593 100000\n68402 100000\n2264 3429\n58747 88122\n66014 99007\n98174 100000\n99268 100000\n51781 77732\n37142 55863\n67898 100000\n94089 100000\n66172 99258\n81314 100000\n26347 39692\n35645 53605\n5877 8834\n94262 100000\n38200 57476\n52342 78578\n15566 23451\n62793 94175\n55860 83809\n21911 33035\n89887 100000\n19216 28946\n83865 100000\n77120 100000\n49618 74513\n30494 45933\n83027 100000\n53099 79717\n97798 100000\n28834 43420\n620 928\n29674 44693\n64679 97008\n72937 100000\n19249 28996\n175 253\n47146 70829\n91048 100000\n97734 100000\n11267 16954\n48852 73352\n11642 17518\n20325 30602\n71586 100000\n62181 93286\n57601 86392\n19951 30048\n84891 100000\n36311 54614\n88597 100000\n40141 60376\n68149 100000\n7951 11948\n66265 99395\n99805 100000\n86089 100000\n55489 83268\n7843 11784\n5001 7533\n33531 50480\n70688 100000\n57972 86965\n50554 75896\n2261 3423\n5309 7977\n734 1098\n62873 94292\n83153 100000\n25718 38773\n24001 36179\n23673 35684\n43140 64847\n39341 59189\n64712 97057\n43275 65056\n88962 100000\n78462 100000\n33693 50727\n59256 88889\n49188 73859\n65022 97524\n28973 43630\n89517 100000\n25754 38827\n55358 83075\n53386 80135\n58215 87319\n65220 97827\n4626 6977\n12978 19548\n47090 70749\n39366 59229\n52537 78872\n58470 87693\n70730 100000\n4186 6315\n76089 100000\n55400 83137\n42241 63513\n8846 13290\n29930 45081\n9212 13841\n72254 100000\n93908 100000\n50253 75447\n32022 48222\n99239 100000\n89788 100000\n43488 65370\n98969 100000\n6816 10231\n70764 100000\n9954 14968\n42430 63797\n17791 26806\n99401 100000\n12277 18470\n89796 100000\n2728 4125\n85132 100000\n74498 100000\n66459 99684\n80556 100000\n1019 1522\n86666 100000\n87765 100000\n44607 67041\n83024 100000\n72852 100000\n30733 46294\n22089 33301\n5741 8623\n81772 100000\n76480 100000\n19006 28631\n34045 51250\n64024 96034\n59121 88692\n99217 100000\n24424 36810\n80705 100000\n36828 55390\n52656 79045\n85679 100000\n37966 57109\n52922 79445\n44377 66696\n7157 10755\n51375 77108\n54172 81277\n60619 90954\n79006 100000\n32836 49440\n22194 33455\n5855 8800\n13817 20805\n72372 100000\n54254 81400\n32775 49346\n54914 82389\n63505 95244\n90672 100000\n80338 100000\n67759 100000\n22145 33382\n74872 100000\n55725 83614\n34875 52469\n4502 6790\n16462 24795\n18377 27695\n80923 100000\n94209 100000\n88770 100000\n36558 54989\n63095 94628\n81627 100000\n30761 46335\n44739 67243\n57870 86806\n23457 35348\n44397 66727\n4470 6738\n72031 100000\n40521 60945\n40369 60718\n78111 100000\n23076 34775\n53890 80869\n5994 9005\n41201 61978\n59323 88992\n20684 31155\n843 1261\n95763 100000\n42275 63563\n66337 99503\n30017 45220\n49615 74510\n2991 4526\n95419 100000\n27463 41355\n96441 100000\n29464 44367\n65758 98624\n41371 62229\n26441 39840\n55575 83397\n70728 100000\n99737 100000\n84401 100000\n3581 5405\n41148 61897\n80640 100000\n60420 90650\n7102 10663\n43167 64885\n8167 12272\n80693 100000\n69854 100000\n19026 28660\n3269 4950\n67801 100000\n60808 91244\n80175 100000\n74500 100000\n37207 55960\n89287 100000\n30317 45675\n5472 8217\n26370 39727\n33648 50659\n88709 100000\n31668 47692\n31932 48093\n4302 6484\n94136 100000\n82455 100000\n42981 64609\n89840 100000\n8450 12682\n30155 45436\n87312 100000\n22163 33409\n40689 61196\n65463 98194\n62539 93805\n20901 31496\n6431 9656\n82440 100000\n63080 94604\n60777 91203\n36352 54677\n98425 100000\n71003 100000\n36667 55152\n82662 100000\n86445 100000\n42528 63945\n66330 99493\n29459 44360\n45309 68092\n50952 76489\n83138 100000\n91227 100000\n6787 10191\n48004 72097\n98275 100000\n24006 36185\n21827 32902\n81544 100000\n28199 42462\n26755 40303\n11799 17755\n86804 100000\n93628 100000\n68297 100000\n35594 53527\n76498 100000\n84883 100000\n78857 100000\n9109 13686\n4000 6035\n44614 67051\n98525 100000\n69377 100000\n8828 13264\n94815 100000\n88931 100000\n6847 10280\n60459 90708\n40248 60527\n86730 100000\n79796 100000\n78751 100000\n97299 100000\n2392 3616\n43250 65017\n12310 18519\n85138 100000\n13480 20301\n27476 41375\n210 304\n96407 100000\n30258 45593\n63731 95598\n99494 100000\n9818 14763\n97303 100000\n41633 62614\n9731 14628\n36406 54758\n58307 87459\n48612 72987\n98345 100000\n36076 54256\n19083 28742\n79284 100000\n10486 15768\n96020 100000\n51842 77830\n23363 35209\n88280 100000\n23555 35506\n88224 100000\n86721 100000\n24408 36785\n28913 43535\n66960 100000\n94449 100000\n2265 3431\n55194 82816\n43643 65603\n31329 47183\n92299 100000\n45213 67953\n9053 13602\n15354 23135\n80312 100000\n26197 39471\n16859 25387\n67116 100000\n46768 70254\n9881 14852\n86319 100000\n45777 68769\n69427 100000\n16403 24709\n38644 58130\n47532 71404\n26597 40067\n88632 100000\n85724 100000\n39692 59715\n12930 19473\n63499 95237\n1994 3011\n65540 98311\n83437 100000\n25461 38379\n71931 100000\n6632 9954\n89839 100000\n84463 100000\n11215 16873\n18515 27904\n34847 52429\n56831 85256\n24310 36640\n70791 100000\n86923 100000\n72204 100000\n49338 74089\n46989 70590\n54798 82212\n23200 34965\n30329 45691\n88356 100000\n20593 31014\n42559 63989\n81587 100000\n29116 43844\n57811 86718\n53886 80862\n25303 38133\n55644 83499\n94571 100000\n34658 52157\n63001 94480\n90027 100000\n8693 13054\n64638 96945\n89510 100000\n37409 56259\n47482 71328\n17042 25674\n48146 72299\n57921 86888\n90950 100000\n79839 100000\n26104 39334\n95302 100000\n48047 72162\n95144 100000\n3102 4692\n69211 100000\n62384 93577\n18148 27338\n57040 85570\n59883 89841\n78242 100000\n32220 48528\n84837 100000\n5057 7611\n20785 31318\n96507 100000\n5105 7681\n17711 26689\n35204 52962\n93968 100000\n12004 18052\n28100 42310\n97703 100000\n60928 91410\n8911 13386\n16057 24195\n49742 74690\n58777 88168\n89494 100000\n35841 53906\n6287 9444\n53466 80249\n51777 77726\n13362 20125\n54861 82307\n19442 29281\n7056 10591\n57291 85952\n41989 63144\n61793 92701\n53823 80769\n79750 100000\n22704 34205\n56857 85292\n17700 26672\n65806 98690\n58928 88397\n11306 17016\n70004 100000\n95262 100000\n27202 40971\n81568 100000\n71979 100000\n23013 34682\n59886 89846\n73707 100000\n51827 77807\n1182 1764\n44521 66911\n56711 85080\n42647 64123\n91000 100000\n66094 99133\n58831 88252\n86259 100000\n37278 56066\n62097 93153\n46125 69288\n95293 100000\n34275 51596\n62915 94353\n65029 97534\n67441 100000\n10545 15855\n81003 100000\n89935 100000\n74146 100000\n21432 32309\n87290 100000\n18942 28536\n13246 19951\n23797 35874\n8842 13282\n48020 72122\n61048 91592\n35894 53984\n13323 20068\n53408 80169\n89230 100000\n68995 100000\n19562 29463\n33865 50989\n56576 84870\n99540 100000\n55739 83635\n81885 100000\n86839 100000\n92693 100000\n75827 100000\n51859 77854\n52306 78520\n46840 70358\n60868 91325\n75725 100000\n46450 69780\n70410 100000\n75823 100000\n25559 38523\n64823 97227\n73237 100000\n15209 22902\n67617 100000\n25267 38081\n36407 54759\n53665 80536\n99898 100000\n1849 2790\n91711 100000\n68901 100000\n8275 12426\n95965 100000\n23360 35205\n1991 3007\n89330 100000\n38269 57582\n68329 100000\n28419 42789\n40750 61292\n84535 100000\n37857 56943\n89981 100000\n98087 100000\n29325 44162\n22078 33287\n44236 66478\n13848 20853\n71015 100000\n90230 100000\n62161 93252\n43506 65399\n84536 100000\n88606 100000\n97380 100000\n79487 100000\n60263 90415\n34514 51942\n56840 85266\n76214 100000\n43456 65323\n23686 35702\n83513 100000\n78527 100000\n37564 56490\n74639 100000\n10763 16187\n7072 10617\n87608 100000\n64101 96145\n18596 28032\n27680 41684\n29331 44172\n53917 80906\n81008 100000\n70166 100000\n70848 100000\n54096 81162\n93383 100000\n53100 79719\n3374 5104\n70145 100000\n99272 100000\n61170 91779\n558 829\n15800 23807\n13522 20357\n14427 21713\n89283 100000\n84683 100000\n63832 95751\n22930 34548\n34648 52140\n41036 61723\n65500 98253\n37544 56461\n56213 84339\n25539 38493\n87465 100000\n78734 100000\n75051 100000\n67282 100000\n80561 100000\n9645 14499\n6037 9067\n84382 100000\n62910 94346\n90492 100000\n10880 16365\n5749 8635\n76122 100000\n35461 53345\n87908 100000\n54631 81966\n24002 36181\n97649 100000\n48638 73030\n44507 66889\n67517 100000\n35695 53684\n86210 100000\n88745 100000\n41771 62819\n36391 54736\n5034 7578\n11254 16933\n63289 94924\n32619 49119\n21883 32992\n65720 98569\n50584 75939\n14337 21574\n1471 2214\n51797 77758\n43727 65717\n57789 86690\n2103 3180\n56563 84850\n28457 42845\n75239 100000\n47290 71038\n73366 100000\n68443 100000\n82779 100000\n66512 99763\n80103 100000\n20579 30991\n49802 74778\n20859 31434\n61498 92267\n35943 54057\n65291 97930\n79655 100000\n88895 100000\n45517 68390\n82071 100000\n55638 83488\n49881 74892\n96063 100000\n66289 99435\n25552 38514\n47987 72074\n34687 52198\n6235 9364\n78692 100000\n89775 100000\n69371 100000\n95917 100000\n88830 100000\n21979 33139\n7468 11226\n56579 84875\n29889 45019\n21006 31658\n2569 3888\n24280 36594\n56241 84378\n23668 35676\n13631 20520\n82930 100000\n4232 6382\n33720 50769\n92252 100000\n7320 10998\n45842 68865\n84743 100000\n9939 14944\n53868 80835\n53672 80547\n82796 100000\n77100 100000\n61097 91670\n68805 100000\n1860 2808\n17050 25685\n83533 100000\n72524 100000\n71881 100000\n82258 100000\n85419 100000\n91085 100000\n32504 48949\n31201 46992\n88279 100000\n70120 100000\n27552 41491\n76882 100000\n65154 97722\n51350 77071\n57883 86825\n124 182\n12769 19226\n37468 56349\n88517 100000\n64919 97367\n79146 100000\n71130 100000\n71197 100000\n25282 38100\n78134 100000\n85592 100000\n55075 82633\n65533 98300\n96203 100000\n1633 2458\n2480 3751\n707 1059\n24672 37178\n250 355\n57303 85972\n73755 100000\n44294 66566\n12987 19561\n46173 69361\n73927 100000\n30919 46559\n15859 23902\n99036 100000\n59132 88709\n7369 11072\n27016 40694\n43740 65734\n24807 37399\n73746 100000\n44902 67482\n90486 100000\n73952 100000\n67750 100000\n22239 33521\n38572 58032\n9163 13766\n75761 100000\n82743 100000\n62405 93609\n86127 100000\n32874 49496\n75399 100000\n76329 100000\n11032 16602\n88039 100000\n89798 100000\n67601 100000\n60965 91467\n67869 100000\n58473 87697\n59524 89299\n60610 90940\n84770 100000\n48613 72988\n24936 37592\n70537 100000\n10318 15519\n70558 100000\n59622 89443\n77150 100000\n38144 57390\n30338 45706\n81085 100000\n80523 100000\n92448 100000\n25517 38461\n8208 12330\n42025 63196\n75891 100000\n71617 100000\n48362 72625\n25402 38284\n30530 45986\n62342 93520\n56780 85175\n31347 47210\n45833 68853\n3083 4662\n96014 100000\n8155 12255\n75274 100000\n15038 22645\n61726 92604\n29715 44758\n17034 25659\n95881 100000\n29807 44894\n50794 76256\n64142 96206\n58401 87591\n99665 100000\n81889 100000\n59178 88775\n55655 83516\n56519 84787\n74371 100000\n49930 74962\n74075 100000\n98394 100000\n34380 51747\n88963 100000\n18870 28429\n38373 57735\n22767 34302\n46240 69462\n88380 100000\n26596 40066\n39968 60117\n30982 46656\n7832 11765\n80786 100000\n64399 96591\n45887 68928\n65258 97879\n79773 100000\n48856 73356\n83272 100000\n42680 64169\n40461 60856\n59752 89638\n45212 67951\n3380 5114\n69331 100000\n94890 100000\n35834 53895\n61320 92006\n7372 11077\n37413 56266\n16537 24912\n94629 100000\n59775 89674\n88312 100000\n66530 99790\n1016 1517\n49217 73906\n82633 100000\n73082 100000\n85627 100000\n77953 100000\n46549 69927\n65198 97794\n8642 12975\n9159 13762\n74839 100000\n59340 89019\n90617 100000\n73232 100000\n96604 100000\n45695 68648\n93303 100000\n74243 100000\n90649 100000\n10002 15047\n54821 82247\n26845 40439\n2375 3591\n20177 30386\n61433 92173\n44043 66195\n33058 49787\n6884 10331\n73302 100000\n76227 100000\n45051 67705\n35560 53479\n80624 100000\n73118 100000\n35407 53263\n23468 35367\n14610 21994\n27379 41228\n76671 100000\n91882 100000\n44884 67458\n53526 80334\n63870 95807\n95365 100000\n32515 48964\n64129 96187\n60282 90440\n27498 41411\n6356 9543\n62913 94350\n42382 63722\n12862 19367\n25810 38911\n53182 79837\n17568 26469\n84646 100000\n85590 100000\n19057 28701\n76545 100000\n68501 100000\n23694 35714\n88258 100000\n98028 100000\n81391 100000\n89956 100000\n18326 27617\n52910 79431\n65853 98760\n77228 100000\n9692 14566\n34826 52400\n22738 34256\n15624 23539\n1387 2083\n8070 12125\n52085 78184\n9052 13600\n78110 100000\n86150 100000\n82011 100000\n32318 48672\n88906 100000\n11187 16831\n31505 47452\n68840 100000\n27307 41125\n60220 90351\n50209 75381\n17589 26504\n80411 100000\n40427 60802\n23628 35612\n78861 100000\n68879 100000\n50743 76179\n75878 100000\n51116 76728\n69223 100000\n56812 85222\n22652 34123\n88135 100000\n5779 8677\n44534 66931\n5955 8952\n26781 40339\n82623 100000\n76279 100000\n85564 100000\n33442 50350\n70850 100000\n57241 85872\n59024 88547\n24670 37174\n85670 100000\n51683 77583\n72022 100000\n65966 98939\n60001 90016\n72383 100000\n31995 48185\n25769 38851\n32985 49672\n19921 30005\n57788 86688\n9893 14873\n84520 100000\n5288 7948\n95700 100000\n69457 100000\n48963 73517\n17785 26795\n43590 65523\n42413 63771\n92567 100000\n6765 10159\n91390 100000\n24714 37249\n40902 61516\n27401 41258\n91954 100000\n18657 28124\n30211 45521\n79709 100000\n47879 71914\n12727 19157\n27347 41183\n12163 18302\n62345 93525\n57947 86928\n73380 100000\n63461 95179\n63677 95520\n76537 100000\n6565 9853\n40968 61616\n84822 100000\n74467 100000\n51481 77268\n71616 100000\n65630 98445\n30335 45701\n99697 100000\n86784 100000\n84979 100000\n28522 42938\n27573 41522\n21843 32928\n62830 94233\n7877 11837\n53691 80577\n83662 100000\n87571 100000\n66920 100000\n40931 61558\n74871 100000\n28772 43324\n3855 5809\n58567 87836\n22399 33756\n76027 100000\n39573 59533\n85113 100000\n23085 34790\n95935 100000\n70690 100000\n37115 55821\n75365 100000\n65543 98314\n78879 100000\n2924 4427\n91358 100000\n63342 95001\n49667 74583\n82000 100000\n48490 72816\n69430 100000\n65770 98637\n24452 36853\n63103 94639\n27201 40969\n750 1126\n72514 100000\n43016 64663\n75605 100000\n13302 20036\n63800 95704\n51217 76879\n14321 21550\n82228 100000\n62237 93367\n94598 100000\n14669 22085\n58659 87976\n83286 100000\n23433 35313\n83032 100000\n2346 3544\n89702 100000\n94151 100000\n15707 23666\n89863 100000\n41909 63023\n51026 76596\n84007 100000\n67007 100000\n88971 100000\n91808 100000\n86785 100000\n43081 64762\n65289 97926\n47014 70631\n86569 100000\n42183 63430\n630 944\n97382 100000\n75359 100000\n39820 59907\n45063 67724\n42723 64230\n12240 18415\n8704 13070\n57038 85566\n35267 53050\n27796 41855\n41741 62772\n83123 100000\n1753 2643\n10462 15738\n37660 56631\n59113 88681\n32067 48293\n69372 100000\n69731 100000\n82237 100000\n70202 100000\n25320 38158\n48264 72477\n94161 100000\n16176 24376\n21142 31865\n27132 40863\n37834 56907\n74726 100000\n40661 61154\n93406 100000\n44224 66460\n60462 90714\n13050 19655\n30092 45340\n95269 100000\n88710 100000\n2144 3244\n71446 100000\n60742 91145\n7105 10668\n90651 100000\n49971 75017\n24464 36870\n32605 49099\n21156 31886\n76551 100000\n94919 100000\n57767 86651\n74434 100000\n58561 87826\n46771 70258\n25657 38680\n45712 68673\n29491 44410\n80419 100000\n38360 57716\n50802 76268\n64990 97471\n32039 48247\n80389 100000\n30105 45358\n35316 53125\n99796 100000\n92809 100000\n8353 12539\n13423 20219\n85481 100000\n81897 100000\n78439 100000\n87042 100000\n80266 100000\n28740 43276\n74714 100000\n54740 82120\n45690 68640\n64085 96122\n86729 100000\n50004 75068\n15651 23581\n83092 100000\n80930 100000\n87554 100000\n60798 91230\n43770 65780\n53928 80921\n75740 100000\n39259 59062\n5078 7641\n93437 100000\n98672 100000\n96261 100000\n26379 39743\n44103 66279\n8475 12724\n31451 47368\n79667 100000\n47119 70791\n19141 28834\n7906 11881\n96052 100000\n63478 95205\n13069 19682\n60434 90669\n79759 100000\n56646 84976\n58378 87562\n88187 100000\n22374 33721\n70027 100000\n94606 100000\n21191 31941\n75712 100000\n63575 95358\n48368 72634\n43916 66001\n62415 93626\n21859 32952\n64917 97363\n3063 4633\n59369 89065\n23589 35557\n54084 81148\n79136 100000\n50447 75733\n37320 56126\n51996 78056\n65182 97768\n82341 100000\n67667 100000\n61381 92094\n78031 100000\n26057 39263\n22808 34360\n54637 81973\n69390 100000\n40240 60517\n2015 3044\n11559 17398\n5826 8752\n72106 100000\n88299 100000\n81177 100000\n50611 75984\n74638 100000\n36259 54533\n65982 98965\n28796 43363\n84893 100000\n30145 45420\n19790 29798\n95672 100000\n76422 100000\n21521 32445\n51571 77408\n98942 100000\n95815 100000\n78764 100000\n98493 100000\n42816 64361\n59962 89961\n48628 73012\n3014 4559\n58531 87783\n13925 20970\n6321 9496\n56443 84674\n55503 83287\n78967 100000\n25125 37869\n23302 35116\n33674 50698\n29653 44661\n13906 20943\n45371 68182\n64456 96677\n98976 100000\n64029 96041\n82329 100000\n51770 77717\n29322 44157\n2295 3473\n77414 100000\n57111 85676\n41972 63119\n87936 100000\n60383 90595\n63154 94717\n15379 23172\n81205 100000\n462 683\n66819 100000\n65954 98919\n60989 91505\n20832 31392\n35235 53007\n71981 100000\n91512 100000\n70289 100000\n45846 68870\n58345 87517\n2850 4319\n57115 85682\n85440 100000\n55457 83221\n12781 19244\n30201 45504\n52519 78840\n98995 100000\n55880 83835\n10274 15456\n78740 100000\n88354 100000\n82698 100000\n36856 55430\n28037 42207\n22106 33327\n47196 70904\n11140 16768\n62998 94476\n4706 7094\n51603 77457\n63062 94576\n42377 63716\n254 360\n36434 54801\n12473 18762\n74899 100000\n73710 100000\n62795 94178\n8600 12912\n47083 70739\n48139 72286\n12574 18915\n60856 91308\n74019 100000\n95639 100000\n80261 100000\n99652 100000\n83074 100000\n56409 84625\n18740 28244\n43242 65004\n22775 34314\n56636 84962\n13297 20028\n24769 37333\n97810 100000\n98357 100000\n84911 100000\n63680 95524\n16461 24794\n38402 57779\n28997 43664\n27036 40721\n12444 18716\n64285 96417\n7378 11086\n2300 3482\n46652 70077\n56500 84759\n58612 87906\n80033 100000\n77715 100000\n58802 88209\n52374 78622\n32068 48294\n55330 83026\n71843 100000\n58132 87203\n65036 97542\n85375 100000\n57840 86760\n7046 10578\n95173 100000\n53779 80702\n66524 99782\n59989 89997\n94213 100000\n3594 5425\n73585 100000\n59800 89715\n540 798\n86101 100000\n35846 53915\n10735 16145\n78289 100000\n82967 100000\n54240 81379\n15589 23485\n53128 79760\n65520 98284\n90014 100000\n46809 70311\n15188 22873\n19709 29685\n25063 37778\n7986 11997\n60117 90196\n51387 77126\n78603 100000\n56462 84703\n87798 100000\n58829 88250\n58882 88328\n54908 82381\n46440 69766\n10148 15265\n22731 34246\n38657 58151\n19521 29403\n45906 68956\n84103 100000\n80820 100000\n19776 29778\n57645 86459\n79019 100000\n86938 100000\n18046 27190\n33589 50569\n59371 89068\n85717 100000\n83853 100000\n21510 32427\n58328 87491\n28499 42907\n37805 56864\n49186 73855\n30471 45902\n71027 100000\n34869 52462\n6881 10328\n38310 57646\n56046 84088\n7311 10982\n53354 80092\n55854 83802\n54292 81457\n13907 20944\n35660 53625\n99047 100000\n8284 12440\n30282 45622\n28909 43530\n2654 4011\n48633 73020\n36936 55550\n27706 41720\n47690 71629\n60140 90232\n98437 100000\n26055 39261\n76870 100000\n12192 18343\n31097 46827\n34612 52086\n48431 72724\n54411 81636\n79272 100000\n48072 72198\n41673 62674\n36241 54504\n34305 51639\n35871 53950\n34656 52153\n58047 87078\n18164 27365\n58188 87283\n79334 100000\n20161 30364\n70810 100000\n44281 66548\n66496 99738\n43772 65783\n76527 100000\n36744 55264\n23962 36112\n46167 69353\n78802 100000\n72515 100000\n70117 100000\n41506 62424\n84804 100000\n25436 38338\n8089 12152\n27959 42092\n69805 100000\n99231 100000\n26691 40206\n81337 100000\n45577 68471\n74087 100000\n38076 57283\n31628 47634\n67306 100000\n10188 15326\n44588 67011\n21977 33137\n25728 38788\n46058 69187\n23214 34987\n53336 80065\n70316 100000\n66093 99131\n63564 95342\n44903 67484\n10839 16301\n51090 76688\n60715 91100\n91206 100000\n28047 42224\n93954 100000\n9276 13940\n94545 100000\n52236 78416\n71726 100000\n58899 88353\n57987 86988\n20131 30317\n11648 17528\n23483 35389\n9527 14322\n66757 100000\n13454 20263\n40778 61333\n59472 89221\n22534 33952\n7567 11370\n41923 63045\n52255 78442\n40810 61381\n93604 100000\n77896 100000\n69602 100000\n41324 62158\n64864 97286\n22337 33667\n96191 100000\n97302 100000\n53673 80548\n44577 66993\n51377 77111\n91574 100000\n81845 100000\n76033 100000\n52720 79141\n25984 39159\n10365 15593\n32450 48861\n78048 100000\n50275 75480\n8853 13302\n80685 100000\n13196 19876\n65691 98529\n33345 50208\n23640 35631\n81295 100000\n49575 74448\n6462 9706\n32664 49182\n76931 100000\n13416 20207\n81718 100000\n20476 30833\n40788 61347\n78582 100000\n7220 10845\n42489 63886\n39284 59099\n20917 31518\n65900 98835\n46343 69621\n79568 100000\n46401 69710\n38234 57526\n51915 77932\n81184 100000\n9385 14105\n86307 100000\n89401 100000\n46204 69406\n85586 100000\n10176 15307\n43455 65322\n93583 100000\n3208 4853\n34271 51589\n70525 100000\n3439 5201\n51114 76726\n59650 89485\n34106 51343\n29901 45037\n55393 83124\n29630 44626\n46637 70058\n94623 100000\n86988 100000\n58939 88416\n95649 100000\n9953 14966\n27530 41463\n12503 18810\n46070 69205\n51679 77577\n70400 100000\n15185 22869\n37447 56316\n51830 77812\n54862 82308\n94420 100000\n76579 100000\n24931 37586\n94526 100000\n73073 100000\n92852 100000\n37102 55800\n80766 100000\n84984 100000\n83775 100000\n60419 90649\n46368 69658\n30937 46585\n6827 10249\n38447 57846\n86094 100000\n28257 42548\n13674 20587\n53476 80261\n53416 80178\n22517 33929\n36335 54651\n59228 88846\n29574 44537\n8246 12384\n26742 40283\n99031 100000\n91580 100000\n44629 67074\n5446 8177\n13978 21047\n86701 100000\n51233 76902\n93442 100000\n7737 11625\n46364 69652\n32207 48508\n40794 61357\n46948 70525\n3960 5977\n97905 100000\n99192 100000\n35003 52656\n24847 37460\n94072 100000\n51643 77523\n95872 100000\n13469 20286\n57071 85614\n80507 100000\n20570 30978\n86016 100000\n45276 68042\n51024 76594\n62447 93670\n16082 24232\n28451 42836\n57348 86038\n88355 100000\n23979 36141\n31204 46995\n20450 30795\n88706 100000\n31681 47710\n35044 52717\n1650 2484\n12929 19471\n2179 3300\n32626 49129\n59398 89110\n76128 100000\n52932 79458\n62279 93428\n22012 33187\n87346 100000\n42058 63245\n94807 100000\n19918 30000\n66838 100000\n61485 92248\n6651 9982\n78950 100000\n16433 24754\n29649 44654\n24496 36913\n95417 100000\n46421 69739\n97024 100000\n59522 89295\n35000 52652\n20623 31062\n82696 100000\n77012 100000\n1157 1725\n46429 69750\n46110 69265\n94814 100000\n2389 3612\n67263 100000\n97881 100000\n33221 50023\n17195 25911\n51981 78033\n19479 29341\n75437 100000\n58996 88505\n56573 84865\n11684 17583\n94989 100000\n90606 100000\n55696 83575\n94047 100000\n8770 13171\n51509 77312\n63719 95581\n15156 22824\n42762 64284\n9124 13711\n30834 46434\n25574 38545\n55539 83341\n60956 91453\n53412 80173\n27114 40837\n19409 29233\n99058 100000\n61774 92674\n36075 54254\n49819 74801\n58690 88024\n50256 75452\n51946 77978\n37536 56448\n2642 3994\n64362 96534\n62673 94006\n60763 91180\n32823 49421\n20914 31515\n35347 53169\n49397 74176\n57656 86476\n96333 100000\n97253 100000\n38837 58430\n51018 76585\n61140 91735\n33030 49749\n14771 22233\n99713 100000\n75948 100000\n18443 27793\n70677 100000\n13712 20647\n31529 47487\n23311 35131\n5115 7695\n50990 76542\n99895 100000\n3318 5018\n16003 24112\n19545 29437\n6742 10122\n60151 90250\n67848 100000\n74111 100000\n57527 86292\n41284 62097\n70681 100000\n93574 100000\n16571 24958\n45147 67851\n20245 30484\n46023 69134\n69309 100000\n77130 100000\n8585 12891\n26267 39570\n81390 100000\n79993 100000\n60044 90082\n60632 90971\n69363 100000\n33125 49887\n48927 73460\n58895 88348\n40233 60507\n38723 58248\n10096 15188\n2744 4151\n51510 77314\n79355 100000\n17867 26915\n40333 60663\n17553 26446\n34623 52098\n32706 49241\n62167 93260\n16868 25402\n25306 38139\n24559 37003\n33598 50583\n43832 65877\n11146 16776\n48979 73541\n65472 98209\n76060 100000\n63887 95830\n39631 59620\n45836 68858\n42748 64265\n98593 100000\n5862 8811\n11906 17912\n62270 93414\n11776 17720\n41891 62994\n59181 88779\n62041 93072\n67832 100000\n42903 64495\n31870 48000\n7597 11413\n33259 50084\n20620 31057\n80164 100000\n8057 12107\n41059 61757\n8685 13043\n59602 89414\n81502 100000\n89647 100000\n11208 16864\n49203 73882\n50290 75504\n48515 72856\n3935 5937\n20902 31497\n764 1146\n56724 85099\n30014 45215\n63213 94805\n19133 28821\n56945 85426\n29606 44589\n96371 100000\n1241 1859\n4930 7433\n57945 86925\n79603 100000\n95415 100000\n40754 61296\n24024 36217\n61551 92340\n29798 44881\n91430 100000\n93782 100000\n35439 53311\n27032 40716\n81579 100000\n31156 46919\n36560 54993\n1499 2251\n57521 86285\n21317 32137\n79077 100000\n17040 25670\n3788 5713\n56439 84668\n97233 100000\n61417 92151\n42156 63388\n95439 100000\n4017 6060\n39340 59188\n76108 100000\n13633 20524\n4858 7325\n54869 82318\n40280 60581\n14041 21147\n82402 100000\n90951 100000\n22576 34013\n61857 92797\n87890 100000\n66047 99059\n87300 100000\n76821 100000\n76324 100000\n91264 100000\n99344 100000\n43073 64751\n40145 60382\n5698 8559\n46137 69308\n36938 55554\n23105 34824\n19176 28889\n14021 21116\n88968 100000\n47816 71820\n69335 100000\n65789 98663\n10129 15238\n60188 90305\n23313 35133\n72823 100000\n36143 54354\n19775 29777\n41561 62505\n17901 26968\n79787 100000\n33597 50581\n85871 100000\n34861 52450\n38218 57504\n23380 35235\n66673 100000\n66025 99025\n85995 100000\n687 1028\n94944 100000\n60336 90525\n5434 8159\n99412 100000\n77544 100000\n10645 16007\n98337 100000\n18544 27954\n78786 100000\n44611 67046\n66912 100000\n22094 33309\n40680 61181\n86604 100000\n95080 100000\n9612 14451\n36463 54845\n32158 48430\n94137 100000\n83954 100000\n11663 17550\n52897 79408\n23090 34798\n85136 100000\n41822 62893\n25744 38812\n42729 64239\n3568 5386\n20534 30919\n78593 100000\n16945 25522\n83003 100000\n79785 100000\n21269 32061\n95959 100000\n3 6\n78421 100000\n56874 85319\n63349 95014\n29808 44896\n95586 100000\n91901 100000\n69278 100000\n72661 100000\n26808 40382\n90756 100000\n48355 72613\n47536 71410\n3824 5763\n62104 93164\n11073 16666\n59783 89687\n30454 45876\n51601 77453\n334 481\n76656 100000\n65577 98362\n15012 22605\n89241 100000\n74719 100000\n51612 77472\n69025 100000\n21297 32105\n44601 67032\n37050 55727\n78177 100000\n5758 8645\n71554 100000\n91364 100000\n1673 2518\n13059 19668\n15341 23113\n8352 12537\n76244 100000\n74987 100000\n27528 41459\n95220 100000\n69853 100000\n27456 41345\n18070 27222\n89047 100000\n35549 53464\n88598 100000\n45874 68911\n94853 100000\n61529 92310\n27197 40962\n67050 100000\n62935 94383\n891 1332\n28124 42347\n62578 93866\n39522 59459\n84323 100000\n90841 100000\n19007 28633\n68759 100000\n66652 99966\n50073 75173\n51165 76804\n61553 92343\n89153 100000\n98479 100000\n703 1054\n97612 100000\n6370 9564\n87287 100000\n60507 90781\n68649 100000\n35209 52971\n45047 67699\n49699 74625\n71907 100000\n47574 71464\n51516 77324\n7485 11254\n84318 100000\n357 519\n93561 100000\n47452 71282\n79515 100000\n97871 100000\n6830 10253\n57358 86051\n15564 23449\n13681 20599\n90463 100000\n23395 35253\n81755 100000\n1635 2460\n92523 100000\n63318 94968\n4446 6702\n15683 23633\n38986 58648\n72532 100000\n70515 100000\n47891 71932\n16663 25099\n1195 1785\n62997 94475\n67782 100000\n41176 61938\n41246 62040\n62135 93211\n13651 20552\n99847 100000\n31021 46712\n94261 100000\n81112 100000\n26532 39971\n2363 3574\n48409 72692\n2270 3439\n47345 71122\n28429 42803\n96164 100000\n12664 19058\n60450 90695\n15721 23684\n37337 56150\n68806 100000\n64913 97359\n82774 100000\n22681 34168\n44111 66293\n10041 15107\n69935 100000\n31547 47515\n66749 100000\n84933 100000\n83487 100000\n72030 100000\n19715 29695\n47300 71055\n82640 100000\n78522 100000\n42360 63690\n73399 100000\n72911 100000\n82136 100000\n85568 100000\n45253 68008\n98123 100000\n3730 5630\n78405 100000\n99991 100000\n81172 100000\n26971 40629\n78359 100000\n86944 100000\n9130 13719\n80522 100000\n89527 100000\n49228 73923\n49033 73619\n7984 11993\n84974 100000\n73120 100000\n87785 100000\n21928 33062\n27265 41065\n25681 38716\n26575 40037\n77115 100000\n84241 100000\n80205 100000\n19940 30034\n11582 17427\n37140 55860\n86516 100000\n32825 49424\n87239 100000\n81664 100000\n45549 68434\n23046 34729\n5027 7568\n98510 100000\n68513 100000\n64331 96484\n90080 100000\n23283 35087\n11041 16615\n71815 100000\n62639 93952\n10602 15939\n19099 28767\n93514 100000\n39879 59991\n97790 100000\n39039 58730\n69766 100000\n29458 44358\n36794 55339\n90156 100000\n15237 22947\n80798 100000\n69915 100000\n26120 39359\n35346 53168\n66817 100000\n61815 92732\n25387 38262\n34116 51358\n35643 53603\n63846 95773\n86678 100000\n33057 49785\n52152 78288\n31661 47682\n8948 13444\n54521 81806\n90806 100000\n27042 40729\n46656 70083\n54554 81853\n38956 58606\n83670 100000\n71439 100000\n82372 100000\n37657 56627\n57707 86557\n13997 21075\n29282 44097\n61354 92053\n99627 100000\n11606 17463\n43235 64992\n62680 94016\n30965 46629\n69579 100000\n70221 100000\n91996 100000\n88699 100000\n94993 100000\n60949 91441\n71600 100000\n77812 100000\n96035 100000\n64325 96477\n93350 100000\n59832 89769\n97373 100000\n70970 100000\n32371 48751\n90370 100000\n55078 82638\n37520 56423\n92500 100000\n26272 39577\n2519 3813\n13236 19936\n65416 98118\n56824 85242\n61675 92529\n9416 14151\n61903 92870\n1048 1563\n2226 3369\n94905 100000\n82685 100000\n31962 48135\n10490 15776\n81590 100000\n86323 100000\n27800 41862\n54074 81131\n88466 100000\n95231 100000\n30689 46229\n39128 58865\n93533 100000\n96379 100000\n48292 72520\n27171 40923\n73040 100000\n98569 100000\n74941 100000\n46248 69474\n67138 100000\n55318 83008\n29550 44502\n58255 87381\n48755 73209\n83422 100000\n57942 86920\n47802 71798\n21750 32782\n73766 100000\n82480 100000\n67591 100000\n47333 71104\n67075 100000\n15019 22617\n20883 31468\n1028 1534\n3496 5283\n85267 100000\n8774 13177\n54010 81042\n7110 10675\n98416 100000\n53220 79894\n9422 14163\n73370 100000\n24599 37067\n33954 51123\n89726 100000\n23980 36143\n42693 64186\n5980 8987\n45784 68779\n44635 67083\n7190 10803\n74228 100000\n24574 37027\n11607 17464\n14939 22497\n73323 100000\n32387 48772\n1578 2370\n34818 52389\n57221 85840\n30853 46461\n65269 97894\n35162 52898\n83359 100000\n37529 56438\n77428 100000\n61179 91791\n47268 71007\n85137 100000\n35721 53729\n9305 13980\n6190 9296\n7888 11853\n83005 100000\n61782 92684\n96928 100000\n81668 100000\n21538 32473\n64541 96803\n31731 47786\n35218 52983\n76384 100000\n68766 100000\n11065 16651\n87755 100000\n80055 100000\n88458 100000\n54923 82403\n57918 86883\n87602 100000\n97406 100000\n19556 29454\n92446 100000\n89481 100000\n35523 53430\n60607 90935\n6546 9824\n94388 100000\n21129 31845\n95090 100000\n56867 85307\n34480 51892\n13184 19859\n28305 42621\n56881 85329\n14791 22267\n95104 100000\n77376 100000\n25289 38110\n88631 100000\n28993 43658\n6592 9890\n18409 27741\n22908 34515\n24209 36487\n98456 100000\n81169 100000\n29589 44561\n2449 3700\n93902 100000\n20775 31303\n49162 73819\n35014 52673\n5532 8301\n1691 2547\n93879 100000\n20560 30963\n89714 100000\n66921 100000\n76058 100000\n77578 100000\n25686 38726\n23128 34856\n79593 100000\n98040 100000\n48280 72499\n79120 100000\n56095 84161\n19785 29789\n17799 26818\n55077 82637\n93995 100000\n53388 80138\n93280 100000\n32438 48843\n22303 33617\n56781 85176\n412 607\n92321 100000\n72389 100000\n33891 51029\n18760 28270\n29932 45085\n71992 100000\n56198 84316\n60448 90691\n62195 93305\n37219 55979\n81604 100000\n49290 74009\n5930 8917\n85130 100000\n56470 84714\n21765 32808\n33056 49784\n56112 84187\n87853 100000\n19487 29354\n32345 48713\n82680 100000\n93187 100000\n71495 100000\n52357 78600\n46340 69617\n12120 18231\n29944 45106\n35637 53595\n57104 85665\n77986 100000\n17515 26388\n88025 100000\n35160 52895\n75921 100000\n88504 100000\n59388 89093\n64878 97307\n92040 100000\n36017 54166\n84378 100000\n351 509\n31706 47753\n776 1164\n32225 48536\n39909 60034\n16577 24965\n43891 65963\n10736 16147\n4807 7249\n65977 98956\n83486 100000\n13957 21015\n33758 50825\n88878 100000\n68049 100000\n63638 95461\n59079 88629\n67115 100000\n47828 71837\n97040 100000\n39454 59354\n25431 38331\n82125 100000\n99645 100000\n87059 100000\n13507 20338\n45809 68817\n286 411\n88634 100000\n73403 100000\n26695 40212\n38645 58132\n38876 58487\n35576 53500\n2333 3526\n42090 63292\n3087 4666\n73986 100000\n13149 19813\n60211 90338\n27368 41214\n55119 82703\n82783 100000\n38478 57886\n51738 77670\n62648 93969\n553 821\n72993 100000\n26499 39927\n99077 100000\n82149 100000\n95429 100000\n89058 100000\n1209 1809\n60113 90190\n73924 100000\n3655 5517\n33544 50499\n25783 38871\n81683 100000\n85150 100000\n77915 100000\n13405 20189\n96757 100000\n8936 13423\n27802 41865\n94856 100000\n77719 100000\n84194 100000\n22722 34232\n98274 100000\n95059 100000\n38033 57218\n26593 40062\n54976 82483\n85500 100000\n24874 37501\n72052 100000\n29962 45137\n54195 81314\n50647 76037\n83628 100000\n37602 56547\n23562 35517\n66174 99261\n42914 64511\n15824 23847\n49861 74864\n75168 100000\n77848 100000\n54569 81875\n47966 72044\n30566 46043\n97551 100000\n43261 65035\n37298 56095\n87495 100000\n57589 86378\n68931 100000\n33603 50589\n75208 100000\n70005 100000\n93616 100000\n95568 100000\n47395 71195\n327 470\n41625 62600\n27305 41121\n71886 100000\n68238 100000\n7636 11473\n45699 68653\n46209 69414\n61010 91537\n14499 21826\n45090 67766\n37222 55983\n83964 100000\n58475 87700\n61426 92164\n63793 95693\n22400 33757\n62324 93493\n89641 100000\n80008 100000\n57470 86213\n99785 100000\n86905 100000\n84162 100000\n58010 87020\n38390 57761\n19329 29121\n37277 56065\n10057 15131\n90871 100000\n3165 4786\n75895 100000\n22963 34600\n70292 100000\n88579 100000\n71326 100000\n34154 51411\n60379 90589\n37491 56383\n56635 84961\n10029 15087\n99487 100000\n23659 35660\n1054 1572\n45136 67835\n39037 58726\n97655 100000\n36680 55172\n33688 50719\n36251 54519\n85098 100000\n37538 56451\n30749 46320\n93421 100000\n24030 36225\n7253 10894\n8314 12486\n16634 25055\n61919 92891\n81795 100000\n15194 22880\n12926 19467\n27812 41881\n66887 100000\n82332 100000\n50320 75546\n27359 41199\n88241 100000\n41528 62458\n4350 6559\n20506 30881\n84332 100000\n25407 38292\n11864 17849\n20463 30813\n17733 26724\n68223 100000\n13360 20122\n98105 100000\n36218 54468\n4314 6505\n83986 100000\n84562 100000\n48634 73022\n75639 100000\n83620 100000\n33792 50879\n44678 67147\n80310 100000\n51410 77161\n81924 100000\n40528 60957\n64618 96917\n27558 41500\n58548 87808\n32517 48967\n72276 100000\n43911 65993\n25606 38597\n80452 100000\n67036 100000\n98562 100000\n40488 60897\n89905 100000\n55919 83896\n27568 41514\n9816 14759\n27937 42063\n69216 100000\n76071 100000\n62495 93738\n69903 100000\n65740 98598\n62458 93684\n310 447\n47664 71594\n50082 75187\n6398 9605\n32828 49429\n33798 50887\n16229 24455\n23687 35704\n8150 12247\n23260 35054\n5069 7630\n13384 20158\n56548 84832\n21918 33045\n94921 100000\n51317 77022\n26801 40372\n69878 100000\n96605 100000\n69994 100000\n65920 98866\n3819 5754\n41518 62443\n32077 48307\n1818 2744\n66527 99786\n96342 100000\n61149 91747\n48414 72699\n15164 22838\n77836 100000\n16294 24551\n39167 58925\n70134 100000\n30348 45720\n75815 100000\n30194 45493\n37527 56435\n49499 74330\n17432 26261\n82042 100000\n44694 67175\n55632 83480\n64093 96134\n17812 26838\n11565 17406\n64764 97136\n54479 81744\n89616 100000\n12406 18658\n19547 29440\n70038 100000\n34556 52002\n28671 43167\n63587 95378\n2189 3317\n85789 100000\n65506 98262\n59549 89339\n21566 32515\n72713 100000\n7801 11719\n81226 100000\n62332 93504\n20246 30486\n66557 99829\n45315 68100\n26897 40521\n61259 91912\n4834 7290\n44726 67225\n64274 96399\n4266 6429\n3229 4887\n87492 100000\n71730 100000\n85900 100000\n93417 100000\n26337 39676\n33463 50379\n36571 55011\n89502 100000\n71438 100000\n96169 100000\n63770 95657\n17457 26301\n72079 100000\n82908 100000\n65923 98872\n27994 42139\n67266 100000\n70343 100000\n80684 100000\n39550 59497\n99748 100000\n15732 23698\n69016 100000\n89871 100000\n87084 100000\n5582 8378\n9147 13743\n9762 14673\n36920 55526\n4564 6884\n33094 49844\n2582 3906\n30096 45346\n72171 100000\n90299 100000\n97231 100000\n86867 100000\n33209 50006\n25814 38917\n5932 8919\n67168 100000\n69970 100000\n7333 11015\n41802 62862\n30279 45619\n65656 98479\n4673 7048\n17696 26667\n60209 90336\n41078 61786\n19692 29657\n67558 100000\n35153 52885\n73938 100000\n65449 98173\n44494 66867\n20838 31404\n61018 91548\n60104 90175\n62186 93292\n25168 37927\n95775 100000\n44550 66953\n46177 69366\n55438 83193\n43386 65226\n15292 23030\n6457 9701\n31295 47134\n68527 100000\n21296 32104\n58348 87521\n81236 100000\n23089 34796\n30176 45466\n22351 33685\n64780 97164\n46161 69344\n53520 80323\n45226 67969\n25027 37718\n13065 19677\n16614 25022\n44742 67247\n3088 4667\n4719 7116\n42667 64151\n4147 6257\n40969 61618\n15949 24034\n14810 22296\n46748 70226\n11612 17471\n96478 100000\n70088 100000\n56730 85109\n37736 56754\n58088 87137\n40385 60741\n28129 42356\n36912 55514\n53506 80303\n55718 83605\n2759 4177\n91231 100000\n99302 100000\n63593 95390\n18387 27710\n38221 57507\n89671 100000\n69714 100000\n44400 66731\n93210 100000\n74164 100000\n52262 78452\n71660 100000\n66445 99663\n15599 23499\n80174 100000\n67179 100000\n50169 75325\n78157 100000\n6049 9084\n26453 39860\n8369 12562\n99741 100000\n99851 100000\n59814 89739\n22843 34413\n72363 100000\n42485 63881\n55280 82951\n91392 100000\n31948 48115\n36897 55493\n88759 100000\n92088 100000\n47509 71370\n17130 25807\n273 392\n92253 100000\n87514 100000\n67254 100000\n16526 24898\n66894 100000\n99137 100000\n89239 100000\n28824 43403\n49805 74781\n74140 100000\n35145 52872\n39993 60157\n51507 77309\n40892 61504\n6956 10443\n97207 100000\n86152 100000\n40106 60325\n98910 100000\n61186 91802\n6129 9203\n93992 100000\n48178 72345\n99224 100000\n27732 41762\n91904 100000\n81744 100000\n2181 3304\n15272 23000\n4589 6922\n73536 100000\n81116 100000\n82728 100000\n79001 100000\n61715 92588\n67307 100000\n98066 100000\n74167 100000\n76603 100000\n60727 91120\n32861 49474\n47722 71675\n70229 100000\n33309 50158\n11435 17209\n31267 47086\n90294 100000\n91472 100000\n65636 98453\n78948 100000\n50033 75111\n95309 100000\n66062 99080\n82489 100000\n11396 17149\n1863 2811\n72208 100000\n57373 86073\n13077 19698\n11005 16565\n139 201\n35937 54049\n95324 100000\n21079 31769\n24368 36726\n84230 100000\n50830 76310\n13430 20230\n19666 29618\n53256 79945\n27847 41928\n35091 52791\n694 1039\n62800 94188\n68209 100000\n88081 100000\n63026 94516\n8926 13409\n36343 54665\n4036 6089\n94805 100000\n45563 68453\n43012 64656\n47137 70817\n2258 3418\n59950 89941\n13841 20840\n41341 62182\n19932 30021\n99948 100000\n33289 50128\n35265 53047\n40486 60893\n80940 100000\n72638 100000\n98944 100000\n26276 39585\n80140 100000\n89955 100000\n8083 12145\n90278 100000\n83489 100000\n73613 100000\n65257 97878\n15510 23370\n49088 73704\n70630 100000\n44013 66152\n22964 34602\n11734 17656\n33440 50346\n13611 20493\n73703 100000\n64374 96552\n96141 100000\n76860 100000\n60343 90535\n6029 9054\n20014 30144\n36821 55379\n68769 100000\n3590 5419\n75022 100000\n14126 21275\n59305 88967\n91316 100000\n95475 100000\n4794 7229\n48014 72114\n22734 34251\n62328 93498\n20887 31473\n59988 89996\n15560 23444\n47262 70998\n33516 50456\n40124 60351\n40228 60500\n91678 100000\n32178 48465\n63397 95087\n63864 95798\n65384 98067\n95676 100000\n12358 18588\n4064 6130\n51934 77960\n96750 100000\n92244 100000\n81841 100000\n4434 6685\n36021 54172\n28908 43529\n36583 55032\n10085 15172\n26877 40488\n10454 15726\n94922 100000\n21705 32715\n40618 61091\n85474 100000\n69856 100000\n430 635\n81419 100000\n1155 1722\n16455 24784\n23211 34982\n25059 37772\n48032 72140\n26033 39227\n31973 48151\n31277 47104\n91404 100000\n96529 100000\n4932 7437\n97950 100000\n862 1288\n70069 100000\n95729 100000\n7522 11301\n25460 38377\n6463 9707\n92961 100000\n5081 7646\n48923 73454\n70317 100000\n83834 100000\n83806 100000\n14371 21628\n4832 7287\n93462 100000\n10541 15849\n32924 49577\n58451 87664\n84693 100000\n6387 9588\n38702 58216\n65645 98465\n33845 50957\n47811 71812\n40563 61011\n48829 73318\n89042 100000\n13596 20471\n59811 89734\n65682 98516\n89569 100000\n80809 100000\n87892 100000\n22557 33987\n26918 40554\n5071 7634\n75491 100000\n37200 55950\n32104 48349\n9807 14745\n86095 100000\n93288 100000\n20340 30625\n68712 100000\n1504 2256\n62126 93198\n11929 17941\n92716 100000\n69598 100000\n55862 83812\n98373 100000\n92798 100000\n24744 37295\n61765 92662\n51277 76965\n67629 100000\n21157 31888\n18171 27377\n36840 55406\n27283 41092\n14670 22086\n84406 100000\n5788 8691\n22120 33348\n47205 70917\n56748 85132\n59338 89015\n76437 100000\n73024 100000\n54705 82072\n76697 100000\n97245 100000\n97252 100000\n84104 100000\n27106 40823\n72801 100000\n36664 55147\n13526 20362\n8379 12577\n29106 43830\n17807 26832\n31793 47882\n79260 100000\n6919 10383\n67410 100000\n12363 18597\n58674 87998\n89434 100000\n78237 100000\n30864 46475\n26383 39750\n98770 100000\n31356 47224\n63651 95479\n86745 100000\n10910 16415\n53143 79783\n1743 2627\n85126 100000\n48911 73434\n59974 89975\n49300 74025\n38996 58663\n47898 71942\n42024 63194\n48554 72914\n88503 100000\n63672 95513\n59689 89539\n6633 9956\n56023 84054\n47647 71568\n22182 33436\n97773 100000\n34972 52608\n69221 100000\n45665 68604\n54157 81255\n82792 100000\n3514 5309\n28703 43216\n28581 43030\n1272 1907\n80514 100000\n29219 44001\n91113 100000\n65958 98926\n64014 96018\n89138 100000\n17591 26508\n66820 100000\n97007 100000\n87402 100000\n65838 98740\n70183 100000\n22282 33587\n84343 100000\n9151 13748\n25041 37742\n94378 100000\n81440 100000\n33769 50843\n22973 34617\n52959 79503\n30067 45297\n48251 72458\n3553 5364\n36151 54366\n7424 11158\n33777 50855\n26848 40444\n5318 7988\n42701 64198\n15072 22697\n38003 57164\n25665 38693\n2915 4416\n59460 89203\n9568 14386\n60022 90050\n9366 14074\n57061 85601\n94559 100000\n79054 100000\n83221 100000\n28563 43002\n71611 100000\n69168 100000\n62365 93550\n26088 39308\n29863 44984\n4187 6316\n12717 19140\n90739 100000\n94294 100000\n44868 67434\n45856 68884\n22505 33910\n15669 23610\n4869 7341\n82028 100000\n91005 100000\n59672 89514\n99875 100000\n66243 99363\n30036 45249\n17682 26644\n64733 97091\n96291 100000\n75774 100000\n83459 100000\n77945 100000\n29718 44762\n40665 61159\n57998 87002\n73486 100000\n15956 24043\n37750 56776\n53538 80352\n11947 17968\n36639 55114\n94939 100000\n94347 100000\n95008 100000\n72538 100000\n86611 100000\n43988 66115\n14339 21576\n38313 57651\n59315 88979\n24087 36308\n10352 15572\n68802 100000\n71071 100000\n46841 70359\n25956 39121\n88881 100000\n28428 42801\n15206 22897\n77827 100000\n19500 29374\n54621 81951\n74389 100000\n16463 24796\n46657 70085\n96728 100000\n10198 15342\n72235 100000\n42700 64197\n4318 6512\n9268 13928\n6993 10500\n79067 100000\n43159 64875\n95644 100000\n99710 100000\n28868 43468\n50868 76366\n38156 57409\n34414 51795\n96558 100000\n83923 100000\n12024 18083\n19217 28947\n45536 68415\n4212 6352\n75694 100000\n17120 25794\n51458 77233\n93836 100000\n72632 100000\n82978 100000\n2896 4392\n7340 11027\n23690 35708\n24834 37443\n21068 31750\n95594 100000\n21606 32571\n5849 8791\n10125 15232\n79607 100000\n60092 90157\n40859 61454\n72892 100000\n38697 58207\n84532 100000\n1455 2188\n18830 28375\n57375 86075\n66402 99596\n374 545\n56776 85171\n43858 65911\n90901 100000\n71939 100000\n61848 92786\n17268 26025\n9684 14554\n68657 100000\n38992 58657\n80643 100000\n74452 100000\n63735 95604\n3945 5954\n67861 100000\n42073 63270\n23131 34860\n8016 12042\n92367 100000\n46700 70150\n23290 35096\n44609 67043\n46572 69962\n1187 1772\n10432 15691\n98005 100000\n38777 58335\n40784 61341\n93510 100000\n31614 47613\n98205 100000\n56449 84682\n96996 100000\n87092 100000\n89938 100000\n46788 70280\n47945 72008\n55752 83651\n57595 86385\n66248 99371\n81607 100000\n42758 64279\n71017 100000\n15092 22725\n11473 17269\n88600 100000\n10900 16398\n36187 54421\n38961 58613\n3345 5061\n2983 4513\n88858 100000\n98925 100000\n55628 83474\n19829 29855\n54605 81926\n65151 97717\n92403 100000\n67576 100000\n75847 100000\n95296 100000\n59894 89860\n3460 5233\n18479 27849\n31877 48011\n46537 69908\n98780 100000\n29517 44451\n30020 45226\n46426 69746\n98076 100000\n55413 83157\n26727 40261\n37642 56609\n51301 77000\n61607 92425\n28589 43043\n39808 59888\n53935 80932\n30663 46189\n9041 13584\n79625 100000\n36003 54145\n21149 31876\n91641 100000\n35453 53333\n42777 64304\n89532 100000\n23337 35168\n83483 100000\n37593 56537\n38069 57272\n13259 19972\n48798 73272\n54221 81350\n99369 100000\n77303 100000\n58527 87776\n78020 100000\n58515 87758\n64785 97172\n46836 70351\n47576 71466\n67992 100000\n77222 100000\n77725 100000\n81947 100000\n75989 100000\n89763 100000\n23800 35879\n43352 65174\n40372 60722\n49719 74658\n55294 82972\n42568 64001\n78251 100000\n92154 100000\n45034 67679\n55611 83451\n7092 10646\n92315 100000\n71972 100000\n87132 100000\n10202 15348\n67235 100000\n83196 100000\n6904 10362\n12534 18855\n70977 100000\n8297 12459\n50136 75276\n67717 100000\n96681 100000\n86634 100000\n14061 21177\n48880 73387\n37394 56236\n92150 100000\n60258 90407\n42464 63850\n90381 100000\n56634 84959\n30427 45835\n2645 3997\n86895 100000\n7447 11194\n7024 10544\n91577 100000\n56437 84665\n17053 25691\n47543 71420\n34144 51396\n87411 100000\n11807 17766\n43950 66058\n71845 100000\n61368 92075\n3436 5197\n16479 24823\n88532 100000\n23996 36172\n42358 63687\n91475 100000\n24205 36481\n21749 32780\n21001 31649\n9942 14949\n627 941\n91909 100000\n93387 100000\n75194 100000\n54368 81573\n39602 59578\n90720 100000\n17371 26169\n83815 100000\n25319 38157\n58260 87387\n44772 67295\n97543 100000\n65409 98106\n15154 22821\n85626 100000\n97285 100000\n26444 39844\n83170 100000\n41500 62415\n50773 76220\n78963 100000\n86997 100000\n49830 74817\n25275 38089\n98588 100000\n42984 64612\n39012 58691\n50273 75478\n38153 57405\n55791 83707\n52980 79533\n43903 65979\n13564 20423\n62945 94399\n3031 4586\n18072 27224\n86464 100000\n26166 39426\n74827 100000\n24175 36437\n98817 100000\n22937 34558\n82689 100000\n26865 40471\n50607 75977\n86719 100000\n39652 59656\n50962 76502\n62440 93661\n51796 77756\n60398 90620\n17555 26449\n71654 100000\n20114 30293\n97928 100000\n53247 79933\n13 18\n80709 100000\n73027 100000\n25329 38170\n12403 18654\n29600 44580\n49403 74184\n40371 60721\n73229 100000\n38538 57980\n94759 100000\n52835 79311\n57320 85997\n63902 95852\n48248 72453\n9034 13575\n22165 33411\n24839 37450\n10890 16381\n76672 100000\n81463 100000\n90269 100000\n90770 100000\n33296 50139\n2586 3913\n83463 100000\n20688 31162\n27631 41607\n59665 89505\n70973 100000\n90991 100000\n75304 100000\n70252 100000\n50186 75350\n93600 100000\n46528 69896\n65821 98714\n60708 91088\n35845 53913\n79198 100000\n77005 100000\n41088 61802\n60701 91077\n84070 100000\n4863 7332\n62968 94432\n57328 86010\n15018 22615\n94850 100000\n99704 100000\n18440 27789\n74443 100000\n30475 45907\n12939 19488\n64824 97228\n61345 92042\n83298 100000\n25896 39041\n15527 23391\n53441 80217\n42901 64491\n7982 11989\n23175 34930\n22522 33936\n45931 68993\n43608 65553\n86073 100000\n71454 100000\n37873 56969\n22175 33424\n16438 24761\n76302 100000\n62244 93375\n17317 26094\n67006 100000\n55184 82801\n8187 12303\n29292 44113\n90561 100000\n71823 100000\n15503 23358\n62066 93107\n61383 92096\n24601 37070\n13027 19620\n65489 98238\n51271 76957\n98241 100000\n54599 81918\n62047 93078\n11370 17112\n14961 22533\n717 1075\n61016 91546\n67243 100000\n11484 17285\n77145 100000\n957 1429\n18007 27132\n90684 100000\n54465 81722\n14566 21928\n49807 74784\n13368 20132\n51563 77397\n19440 29278\n76631 100000\n45012 67645\n88916 100000\n18956 28558\n37352 56171\n53225 79902\n99375 100000\n44468 66827\n65937 98894\n7559 11358\n88410 100000\n86684 100000\n85241 100000\n86236 100000\n79591 100000\n58000 87005\n52885 79389\n96195 100000\n70033 100000\n85030 100000\n13704 20635\n69329 100000\n15942 24023\n25182 37949\n59221 88834\n75280 100000\n33127 49890\n63845 95772\n74896 100000\n79961 100000\n89928 100000\n10249 15418\n65339 97997\n78899 100000\n71511 100000\n74368 100000\n3711 5601\n90595 100000\n10042 15108\n38159 57414\n3805 5736\n34872 52465\n17214 25942\n32926 49579\n23787 35855\n98688 100000\n23398 35257\n914 1366\n35306 53109\n36495 54889\n47193 70899\n71737 100000\n57326 86008\n72996 100000\n87646 100000\n17313 26088\n71968 100000\n21711 32724\n90382 100000\n34642 52132\n48766 73225\n41164 61922\n8431 12652\n8760 13157\n49593 74478\n34519 51949\n25843 38960\n16493 24842\n77000 100000\n77922 100000\n5038 7584\n95979 100000\n21322 32145\n12487 18785\n19812 29830\n56415 84635\n67370 100000\n20049 30197\n57863 86795\n14483 21803\n24092 36315\n83891 100000\n44296 66568\n58322 87481\n94682 100000\n81572 100000\n23300 35113\n7423 11156\n10757 16178\n79794 100000\n86296 100000\n1674 2519\n12108 18213\n40491 60900\n38190 57460\n19649 29592\n19287 29057\n24162 36416\n58991 88499\n54972 82477\n44887 67462\n67650 100000\n14287 21500\n90678 100000\n51236 76907\n31979 48162\n83950 100000\n77281 100000\n78362 100000\n90583 100000\n11519 17336\n71545 100000\n68927 100000\n79314 100000\n74455 100000\n40541 60978\n34515 51943\n23382 35238\n14313 21539\n17217 25946\n4383 6609\n13352 20112\n37402 56248\n44160 66367\n60207 90333\n18964 28567\n94122 100000\n59286 88938\n18079 27235\n81060 100000\n52161 78304\n38606 58078\n75428 100000\n88346 100000\n68559 100000\n6411 9624\n95874 100000\n68351 100000\n76782 100000\n58879 88324\n21919 33047\n9635 14484\n15384 23179\n56233 84368\n87978 100000\n56260 84407\n31567 47546\n18121 27300\n32172 48456\n70513 100000\n74069 100000\n24208 36485\n10001 15046\n1118 1666\n70184 100000\n66319 99479\n50925 76454\n67741 100000\n71285 100000\n66710 100000\n75264 100000\n75777 100000\n82310 100000\n75858 100000\n33418 50312\n11854 17834\n97280 100000\n55494 83274\n83460 100000\n82525 100000\n43755 65758\n46651 70076\n7909 11886\n53774 80695\n7244 10881\n4790 7222\n90900 100000\n42286 63580\n54190 81305\n28113 42331\n33551 50509\n44907 67488\n13048 19652\n99810 100000\n61404 92129\n21320 32142\n82029 100000\n68292 100000\n17173 25875\n32881 49508\n90885 100000\n63764 95647\n91125 100000\n99093 100000\n62301 93459\n18844 28395\n9213 13842\n94542 100000\n61557 92349\n41389 62254\n74842 100000\n15286 23021\n36394 54740\n20186 30399\n53566 80390\n98083 100000\n44371 66685\n82360 100000\n61161 91765\n35969 54095\n58330 87494\n32029 48231\n87689 100000\n6125 9198\n59487 89245\n93635 100000\n97010 100000\n35324 53136\n17007 25618\n66273 99407\n59492 89251\n25466 38386\n75638 100000\n44787 67317\n92649 100000\n10782 16213\n16753 25227\n87770 100000\n44563 66971\n37049 55726\n94789 100000\n2121 3210\n64669 96992\n267 381\n33426 50323\n44850 67407\n91427 100000\n60576 90885\n95185 100000\n39410 59294\n97629 100000\n88978 100000\n85861 100000\n40843 61427\n9653 14513\n25058 37770\n75944 100000\n85966 100000\n61058 91607\n19583 29494\n96776 100000\n19543 29434\n22470 33860\n36012 54158\n25612 38606\n8116 12190\n83550 100000\n48162 72321\n95561 100000\n61899 92865\n28458 42846\n20061 30216\n22140 33374\n23059 34749\n69008 100000\n27322 41147\n7891 11857\n22786 34330\n70436 100000\n27916 42035\n70882 100000\n24271 36580\n72321 100000\n55396 83130\n48231 72431\n71534 100000\n63515 95259\n91466 100000\n78959 100000\n85573 100000\n4542 6850\n30015 45217\n31208 46999\n40831 61409\n73623 100000\n53522 80327\n97348 100000\n22641 34107\n36747 55268\n63040 94541\n96595 100000\n75186 100000\n97326 100000\n81990 100000\n61437 92179\n89462 100000\n98504 100000\n95270 100000\n87231 100000\n47105 70772\n55910 83883\n86897 100000\n16287 24542\n85193 100000\n82301 100000\n21268 32059\n56720 85093\n94587 100000\n11588 17435\n536 793\n5279 7934\n23891 36012\n7161 10760\n93445 100000\n59134 88712\n7521 11300\n12426 18691\n20617 31053\n57853 86778\n35678 53655\n43596 65533\n22870 34457\n26462 39872\n70133 100000\n4376 6598\n76494 100000\n52004 78064\n37163 55894\n89772 100000\n84362 100000\n98449 100000\n5435 8161\n77612 100000\n21253 32033\n96530 100000\n720 1079\n18648 28110\n19232 28971\n27304 41120\n87467 100000\n37615 56566\n24224 36509\n82293 100000\n78625 100000\n237 338\n80517 100000\n90811 100000\n41358 62206\n16407 24716\n97240 100000\n12960 19521\n56985 85487\n53213 79882\n69937 100000\n29513 44444\n66121 99176\n21670 32670\n16969 25559\n8462 12702\n57838 86757\n16747 25218\n44600 67030\n56113 84188\n48304 72537\n66469 99697\n38028 57209\n7470 11230\n39954 60096\n36587 55038\n10245 15413\n1366 2049\n61425 92162\n15966 24056\n10867 16344\n78093 100000\n41466 62367\n83547 100000\n52463 78758\n99926 100000\n50414 75682\n83598 100000\n72296 100000\n16080 24229\n92463 100000\n56289 84447\n41305 62130\n20058 30212\n70793 100000\n52339 78574\n32624 49126\n49013 73589\n80901 100000\n37084 55775\n88007 100000\n42765 64288\n74659 100000\n32759 49320\n94375 100000\n24460 36865\n37692 56682\n84939 100000\n26589 40057\n12397 18644\n2499 3782\n15765 23748\n72134 100000\n40988 61647\n38560 58015\n29370 44230\n4010 6049\n80639 100000\n13960 21020\n19540 29431\n98712 100000\n26299 39621\n27134 40866\n19092 28755\n29210 43989\n30027 45238\n16728 25193\n33870 50999\n28776 43331\n43435 65295\n4882 7362\n51257 76937\n7379 11087\n8023 12052\n71394 100000\n44333 66624\n57916 86879\n22329 33655\n15429 23244\n85487 100000\n17450 26289\n71097 100000\n19615 29544\n34661 52161\n68369 100000\n69352 100000\n42064 63256\n20668 31129\n3504 5294\n17996 27114\n55424 83174\n38340 57689\n77502 100000\n86512 100000\n8751 13144\n79744 100000\n49322 74064\n908 1358\n39274 59084\n67557 100000\n23816 35899\n85990 100000\n64438 96650\n76598 100000\n35710 53709\n70509 100000\n62224 93348\n9000 13520\n87163 100000\n12427 18692\n24822 37422\n35199 52955\n7359 11057\n54991 82506\n26394 39767\n48428 72719\n45958 69037\n82515 100000\n30137 45407\n1812 2735\n39388 59262\n6992 10498\n31084 46806\n76543 100000\n44520 66910\n71496 100000\n73552 100000\n57868 86804\n21686 32690\n56660 84997\n78331 100000\n65757 98622\n96615 100000\n92831 100000\n78759 100000\n38044 57234\n4373 6593\n60536 90826\n6706 10065\n3497 5284\n20407 30729\n29978 45163\n48509 72846\n84054 100000\n2018 3049\n22434 33808\n15867 23912\n63728 95595\n27300 41115\n84589 100000\n98788 100000\n57724 86584\n32689 49216\n3170 4794\n8807 13232\n9458 14216\n35848 53918\n71521 100000\n50915 76439\n3511 5304\n20937 31546\n38073 57279\n91428 100000\n87989 100000\n74484 100000\n22460 33848\n38819 58401\n52118 78236\n43742 65738\n95119 100000\n91586 100000\n17732 26722\n26545 39993\n1949 2942\n85407 100000\n48526 72872\n78773 100000\n45597 68500\n47883 71920\n95595 100000\n98657 100000\n66148 99220\n23319 35143\n78315 100000\n3807 5739\n26287 39603\n58871 88312\n71490 100000\n5380 8079\n10305 15499\n24567 37018\n71749 100000\n75091 100000\n46406 69717\n89612 100000\n21444 32329\n47301 71056\n58753 88130\n52212 78384\n2444 3693\n42988 64618\n92039 100000\n47754 71723\n76813 100000\n49753 74705\n66451 99671\n59576 89377\n50984 76533\n49634 74534\n32320 48676\n31933 48094\n23948 36092\n29024 43707\n2136 3232\n75859 100000\n20317 30592\n35390 53234\n76610 100000\n89820 100000\n91047 100000\n32190 48481\n44539 66937\n34927 52545\n32354 48728\n21587 32541\n6867 10309\n98711 100000\n59138 88718\n27663 41659\n68211 100000\n28545 42974\n16630 25048\n90383 100000\n29734 44788\n14196 21372\n14127 21277\n3323 5025\n33729 50782\n55639 83490\n63457 95173\n13585 20453\n94924 100000\n57357 86050\n89455 100000\n41464 62364\n79895 100000\n72780 100000\n5039 7585\n84579 100000\n66320 99480\n58174 87262\n88855 100000\n92625 100000\n45775 68765\n28136 42365\n19808 29824\n67532 100000\n40207 60470\n65035 97540\n69974 100000\n29648 44652\n75431 100000\n44721 67218\n98193 100000\n44870 67437\n54060 81113\n19064 28712\n12017 18072\n87364 100000\n60718 91104\n53267 79961\n93048 100000\n48522 72867\n56138 84224\n18628 28079\n625 938\n21864 32960\n95342 100000\n73985 100000\n7091 10645\n25704 38751\n99155 100000\n26359 39713\n98343 100000\n37389 56230\n87747 100000\n42854 64420\n66413 99614\n30251 45582\n55174 82785\n71052 100000\n39146 58894\n3019 4565\n31509 47458\n66242 99361\n7349 11042\n50926 76456\n81449 100000\n45642 68572\n34941 52564\n17549 26441\n72042 100000\n12020 18077\n58029 87047\n5543 8316\n24159 36411\n29003 43674\n43654 65619\n675 1008\n14752 22205\n62136 93212\n24064 36270\n88358 100000\n93329 100000\n51743 77678\n17187 25897\n84957 100000\n84518 100000\n67227 100000\n4748 7163\n91673 100000\n12773 19233\n94662 100000\n71701 100000\n49146 73792\n45429 68265\n93711 100000\n90428 100000\n91212 100000\n67459 100000\n50301 75521\n12153 18288\n64685 97018\n89150 100000\n584 870\n1582 2377\n72962 100000\n10010 15059\n67889 100000\n49282 74000\n91555 100000\n53628 80479\n36643 55119\n53070 79671\n54872 82323\n89474 100000\n12179 18325\n45389 68208\n70132 100000\n1219 1823\n65234 97846\n8054 12101\n85977 100000\n71389 100000\n69721 100000\n81685 100000\n47813 71814\n59781 89684\n77723 100000\n69267 100000\n40192 60449\n61586 92394\n13807 20789\n79567 100000\n61745 92631\n51150 76779\n46349 69630\n17617 26547\n67840 100000\n23097 34809\n13984 21054\n61636 92471\n70019 100000\n11857 17839\n79527 100000\n42592 64037\n22807 34359\n18021 27148\n93681 100000\n46971 70562\n13006 19590\n21619 32593\n12898 19424\n22167 33413\n21299 32109\n51421 77177\n52747 79180\n31618 47618\n28845 43437\n94459 100000\n74303 100000\n57194 85801\n20028 30167\n93598 100000\n86661 100000\n14407 21684\n23412 35281\n10356 15579\n30261 45597\n64967 97436\n41459 62356\n93377 100000\n43493 65377\n31943 48109\n14543 21893\n70474 100000\n83776 100000\n31565 47542\n84267 100000\n76726 100000\n87606 100000\n83846 100000\n49759 74714\n66033 99038\n38274 57589\n5175 7783\n43990 66117\n20236 30472\n98283 100000\n97600 100000\n1500 2252\n48518 72861\n5127 7712\n92550 100000\n57991 86994\n26233 39523\n71748 100000\n94418 100000\n17128 25804\n47625 71537\n30835 46435\n2535 3836\n99090 100000\n248 352\n63547 95313\n54103 81174\n79809 100000\n26853 40453\n4764 7184\n49422 74213\n64159 96232\n71270 100000\n66125 99182\n99387 100000\n71436 100000\n75362 100000\n3764 5681\n81621 100000\n7026 10547\n66477 99709\n86511 100000\n64147 96213\n62595 93886\n79344 100000\n34007 51196\n40316 60636\n13797 20775\n54779 82182\n61601 92416\n96660 100000\n13035 19633\n87052 100000\n33816 50916\n30836 46437\n81191 100000\n86128 100000\n26686 40200\n24446 36844\n81900 100000\n3900 5882\n66668 99994\n55760 83662\n76585 100000\n43332 65142\n26521 39955\n78190 100000\n72802 100000\n11900 17903\n7966 11968\n98614 100000\n2350 3552\n43200 64940\n5437 8164\n22174 33423\n80557 100000\n91155 100000\n85567 100000\n63275 94902\n63121 94667\n73674 100000\n40480 60886\n95736 100000\n6610 9916\n95021 100000\n99666 100000\n49800 74775\n21070 31753\n47785 71773\n44495 66869\n39332 59176\n79208 100000\n89394 100000\n36052 54216\n99166 100000\n51923 77945\n96746 100000\n22566 34001\n55729 83621\n8377 12574\n71093 100000\n96415 100000\n51275 76962\n68770 100000\n10920 16431\n10345 15562\n42176 63419\n20790 31325\n78495 100000\n77022 100000\n11503 17310\n78723 100000\n99467 100000\n36194 54430\n4467 6734\n18971 28577\n36448 54822\n8933 13420\n50229 75411\n96220 100000\n31732 47788\n62587 93876\n20443 30784\n77667 100000\n88994 100000\n43874 65935\n36659 55141\n63214 94807\n60823 91262\n6240 9371\n6371 9565\n50978 76524\n2094 3165\n5554 8333\n2190 3318\n9848 14804\n24891 37528\n33236 50050\n14161 21326\n50282 75490\n88067 100000\n20247 30488\n99782 100000\n16650 25079\n91506 100000\n6769 10164\n28159 42404\n41999 63159\n71358 100000\n35961 54084\n99221 100000\n42434 63804\n26751 40297\n10024 15080\n88072 100000\n77480 100000\n47679 71614\n45756 68736\n10780 16211\n37319 56125\n56371 84566\n47717 71669\n54567 81872\n82651 100000\n75155 100000\n80096 100000\n36721 55227\n67743 100000\n9403 14133\n97278 100000\n27107 40825\n73662 100000\n27835 41912\n81641 100000\n53971 80986\n231 330\n42727 64236\n13437 20238\n81045 100000\n70946 100000\n14154 21315\n43552 65471\n92706 100000\n11045 16621\n80913 100000\n30485 45921\n13461 20274\n98367 100000\n61780 92681\n68623 100000\n84372 100000\n44535 66932\n87075 100000\n63848 95776\n20715 31210\n84647 100000\n9496 14277\n96708 100000\n5858 8804\n74117 100000\n96159 100000\n70931 100000\n66905 100000\n27805 41870\n28552 42985\n232 331\n62252 93387\n2664 4026\n26003 39184\n80988 100000\n84100 100000\n59464 89209\n78364 100000\n78074 100000\n4966 7483\n54978 82486\n73371 100000\n35561 53481\n99664 100000\n49905 74927\n20947 31561\n22304 33618\n26558 40012\n91892 100000\n62916 94355\n63802 95707\n77034 100000\n40819 61392\n79500 100000\n16119 24296\n69596 100000\n57510 86268\n18572 27995\n98662 100000\n89004 100000\n56501 84760\n98169 100000\n58600 87885\n67397 100000\n8490 12751\n98024 100000\n35736 53749\n86136 100000\n21206 31962\n16419 24735\n47967 72045\n10389 15631\n58749 88125\n89632 100000\n32704 49238\n95813 100000\n74851 100000\n29795 44877\n48615 72992\n87540 100000\n16282 24535\n76781 100000\n34410 51788\n6657 9993\n70056 100000\n14319 21547\n60367 90571\n29816 44911\n55559 83371\n90311 100000\n41510 62431\n24471 36880\n9259 13914\n28557 42993\n17398 26207\n32526 48978\n21078 31768\n90781 100000\n13999 21079\n32543 49007\n75896 100000\n98659 100000\n44191 66412\n32275 48610\n44326 66613\n18125 27306\n50081 75186\n18671 28145\n9550 14358\n42472 63862\n36706 55208\n19859 29908\n70162 100000\n85502 100000\n94177 100000\n8641 12974\n97689 100000\n97482 100000\n47531 71402\n52931 79457\n41793 62849\n27791 41848\n80583 100000\n30016 45219\n35945 54060\n79276 100000\n40910 61526\n42564 63996\n28294 42605\n86658 100000\n85480 100000\n3399 5139\n3908 5893\n25482 38407\n229 328\n52755 79192\n83393 100000\n93505 100000\n51180 76826\n8002 12021\n46202 69402\n12766 19221\n58360 87538\n89823 100000\n63996 95989\n55555 83364\n9509 14295\n39890 60008\n79318 100000\n17124 25799\n47238 70963\n69061 100000\n40770 61320\n38109 57336\n70402 100000\n5203 7827\n85396 100000\n78406 100000\n67490 100000\n88875 100000\n63029 94521\n81549 100000\n25381 38252\n63221 94819\n27925 42047\n89193 100000\n41140 61884\n81242 100000\n85928 100000\n32852 49463\n95194 100000\n15934 24010\n4307 6493\n19243 28988\n55952 83944\n23906 36034\n26651 40148\n88102 100000\n15937 24015\n13993 21070\n36958 55584\n60335 90523\n3993 6023\n49932 74965\n90745 100000\n82517 100000\n10140 15252\n93630 100000\n20919 31522\n13227 19923\n73998 100000\n40177 60430\n86000 100000\n72173 100000\n1577 2368\n56436 84663\n18220 27456\n82263 100000\n16385 24686\n54602 81922\n92289 100000\n15174 22853\n92758 100000\n10576 15901\n65054 97566\n14938 22495\n31816 47915\n13289 20017\n43880 65945\n13684 20604\n47728 71684\n51059 76644\n72966 100000\n17278 26038\n71367 100000\n9448 14203\n92726 100000\n8000 12017\n11439 17216\n3393 5131\n57302 85971\n60322 90503\n95433 100000\n13074 19692\n64523 96777\n2901 4398\n30503 45949\n53797 80733\n85121 100000\n75915 100000\n17292 26056\n88419 100000\n32503 48947\n95576 100000\n90296 100000\n42738 64253\n16016 24132\n24961 37629\n37332 56143\n6941 10420\n47626 71538\n39792 59863\n71302 100000\n58183 87275\n17585 26497\n53126 79756\n26862 40466\n37365 56193\n72621 100000\n84860 100000\n8062 12114\n16801 25299\n56902 85360\n64424 96630\n51544 77370\n49632 74532\n92547 100000\n93887 100000\n27259 41056\n14955 22524\n37558 56483\n36058 54227\n52687 79090\n59056 88595\n55406 83146\n91598 100000\n52847 79332\n89436 100000\n54271 81425\n65684 98520\n15443 23266\n12412 18669\n97556 100000\n51862 77858\n52314 78534\n71809 100000\n50143 75286\n12432 18699\n91823 100000\n68299 100000\n36092 54281\n21139 31861\n40477 60881\n75647 100000\n26155 39412\n78585 100000\n79793 100000\n91035 100000\n90215 100000\n20315 30588\n47571 71459\n79359 100000\n14088 21215\n26666 40173\n23502 35422\n97050 100000\n4543 6851\n23915 36047\n49489 74316\n86725 100000\n97599 100000\n55070 82626\n9340 14036\n31797 47889\n86682 100000\n29586 44556\n17129 25806\n90082 100000\n10762 16185\n17797 26816\n28687 43193\n24101 36329\n2581 3905\n31434 47340\n41483 62393\n93488 100000\n46199 69396\n74082 100000\n70110 100000\n59911 89885\n2714 4103\n58332 87498\n54749 82135\n83403 100000\n59871 89825\n8444 12672\n44693 67173\n56601 84909\n45065 67727\n36404 54754\n79494 100000\n9776 14697\n65531 98298\n14634 22032\n76907 100000\n4037 6091\n15522 23384\n3515 5310\n32806 49397\n90818 100000\n79505 100000\n51032 76604\n65795 98671\n26538 39980\n67515 100000\n45838 68861\n82740 100000\n69493 100000\n66479 99711\n98912 100000\n90200 100000\n98482 100000\n41185 61953\n14236 21431\n57259 85902\n15763 23745\n37764 56799\n97217 100000\n26278 39589\n88946 100000\n35503 53405\n35005 52660\n92957 100000\n32 45\n2737 4139\n19254 29006\n49780 74745\n12000 18045\n65726 98579\n77998 100000\n2584 3910\n18067 27217\n61207 91833\n8158 12260\n61664 92511\n20019 30153\n85817 100000\n61685 92544\n19423 29252\n34767 52312\n47986 72073\n67265 100000\n23732 35772\n25775 38860\n67421 100000\n58055 87090\n78314 100000\n84874 100000\n97557 100000\n3253 4922\n13579 20444\n37288 56083\n54979 82487\n40170 60419\n8032 12064\n6266 9411\n51307 77007\n21391 32249\n36024 54176\n28971 43627\n719 1078\n63098 94632\n43544 65458\n25216 37999\n47530 71400\n65445 98166\n49496 74326\n48623 73003\n52620 78995\n81454 100000\n77876 100000\n55327 83021\n80413 100000\n87929 100000\n60013 90036\n85235 100000\n1340 2010\n87780 100000\n66245 99366\n71276 100000\n66713 100000\n35772 53802\n21377 32232\n55694 83572\n28016 42172\n7788 11697\n84402 100000\n37043 55718\n33859 50981\n73255 100000\n52609 78980\n19868 29921\n73445 100000\n1382 2076\n85793 100000\n56229 84364\n40767 61317\n75532 100000\n55665 83530\n64454 96674\n44240 66484\n50330 75563\n68034 100000\n27349 41186\n63246 94859\n17679 26639\n76549 100000\n36732 55244\n56763 85150\n22962 34599\n21656 32648\n92988 100000\n54483 81751\n53763 80681\n43962 66072\n47796 71791\n63055 94566\n46555 69936\n58538 87792\n66304 99457\n98248 100000\n81187 100000\n76731 100000\n40231 60503\n96131 100000\n31651 47665\n87746 100000\n52072 78164\n93653 100000\n5110 7688\n77009 100000\n66043 99053\n15903 23963\n47423 71236\n6512 9777\n77243 100000\n18429 27773\n96562 100000\n48882 73390\n6975 10470\n75191 100000\n58466 87687\n32097 48339\n15790 23787\n79925 100000\n54726 82099\n70299 100000\n14976 22554\n21436 32315\n81070 100000\n52742 79171\n42038 63214\n97492 100000\n1359 2038\n68816 100000\n65527 98292\n63412 95108\n29755 44823\n16157 24348\n40164 60409\n17745 26741\n38199 57474\n98232 100000\n82809 100000\n67353 100000\n11977 18013\n95019 100000\n26973 40633\n15461 23290\n84948 100000\n37289 56084\n964 1441\n13561 20419\n63463 95182\n51874 77875\n67694 100000\n63013 94497\n42437 63809\n42695 64190\n18140 27326\n83464 100000\n87536 100000\n60194 90313\n79222 100000\n85694 100000\n23446 35332\n13366 20129\n66100 99142\n68350 100000\n60401 90624\n46728 70195\n18879 28443\n67455 100000\n70545 100000\n84745 100000\n84197 100000\n460 681\n93700 100000\n94806 100000\n70386 100000\n31901 48046\n60261 90412\n83410 100000\n6102 9161\n23580 35543\n41814 62882\n59168 88760\n42790 64324\n65715 98562\n84940 100000\n92141 100000\n67289 100000\n35411 53269\n95693 100000\n99448 100000\n27023 40704\n8777 13183\n44788 67318\n75890 100000\n89099 100000\n43834 65880\n70506 100000\n24883 37517\n65461 98191\n62547 93819\n11434 17207\n76123 100000\n59339 89017\n55697 83576\n60320 90500\n12892 19416\n25894 39037\n70093 100000\n64763 97135\n96341 100000\n47304 71061\n56479 84728\n652 976\n79817 100000\n62248 93380\n81509 100000\n24840 37451\n73959 100000\n93145 100000\n1068 1596\n86644 100000\n42461 63846\n61229 91868\n73200 100000\n37384 56223\n52606 78977\n24225 36510\n57622 86429\n80565 100000\n72618 100000\n72422 100000\n63111 94652\n87804 100000\n26880 40493\n7395 11113\n95571 100000\n43269 65047\n38002 57162\n22613 34067\n72704 100000\n84578 100000\n87523 100000\n84894 100000\n75838 100000\n52882 79384\n54537 81829\n21328 32157\n94844 100000\n38630 58110\n78047 100000\n94763 100000\n11135 16761\n49308 74040\n14697 22123\n78449 100000\n53101 79720\n51486 77276\n21032 31694\n35762 53786\n18003 27127\n39913 60038\n44552 66956\n28699 43210\n28878 43482\n87660 100000\n13988 21061\n61809 92725\n25432 38332\n19827 29851\n77560 100000\n24715 37251\n92937 100000\n65990 98976\n64210 96308\n65843 98747\n74472 100000\n24748 37302\n11281 16975\n20497 30868\n12101 18203\n65168 97746\n47092 70753\n7023 10542\n67129 100000\n44427 66767\n35666 53634\n72840 100000\n19593 29509\n62589 93879\n66984 100000\n89587 100000\n36418 54776\n91636 100000\n36180 54411\n44020 66162\n36994 55640\n75513 100000\n82865 100000\n8676 13029\n52890 79398\n75134 100000\n21770 32814\n5042 7588\n10527 15829\n68767 100000\n22090 33302\n31988 48176\n81381 100000\n46530 69898\n30825 46420\n32558 49031\n16717 25176\n6014 9035\n84021 100000\n91260 100000\n71231 100000\n72979 100000\n47983 72069\n51990 78047\n29546 44495\n24304 36631\n53286 79991\n74699 100000\n10848 16315\n73440 100000\n72460 100000\n79398 100000\n13602 20479\n31448 47364\n75797 100000\n23682 35697\n59232 88852\n44348 66650\n12706 19126\n12517 18830\n4709 7098\n66754 100000\n70511 100000\n33164 49940\n3697 5579\n33552 50511\n60471 90727\n56235 84371\n93352 100000\n21414 32284\n88123 100000\n44892 67469\n13922 20966\n3586 5414\n87146 100000\n64257 96375\n53966 80979\n29919 45064\n74159 100000\n51094 76696\n93570 100000\n29336 44179\n56836 85262\n66246 99368\n65882 98806\n75929 100000\n34406 51783\n14223 21410\n72084 100000\n75952 100000\n70362 100000\n21312 32130\n22346 33679\n39475 59389\n2602 3935\n32774 49344\n15787 23781\n3189 4823\n97910 100000\n87392 100000\n41455 62351\n72733 100000\n23656 35656\n87139 100000\n98119 100000\n7796 11710\n8924 13406\n71255 100000\n5847 8787\n23557 35509\n95880 100000\n92064 100000\n72891 100000\n72530 100000\n58006 87014\n51685 77587\n59260 88895\n75405 100000\n95164 100000\n85794 100000\n32929 49584\n82211 100000\n32623 49124\n46355 69641\n7742 11632\n49877 74887\n37713 56717\n43133 64837\n28559 42996\n57247 85884\n42304 63606\n87347 100000\n91121 100000\n92153 100000\n64066 96091\n24810 37404\n96947 100000\n43637 65594\n44591 67016\n49420 74210\n13141 19798\n96513 100000\n53062 79659\n29449 44344\n55042 82581\n75801 100000\n93248 100000\n13624 20509\n47926 71982\n62708 94057\n23679 35693\n29309 44138\n80491 100000\n37452 56323\n48994 73564\n54756 82147\n69445 100000\n97947 100000\n35634 53590\n97536 100000\n61993 93001\n53525 80332\n42019 63186\n92743 100000\n60533 90822\n19085 28744\n77271 100000\n53502 80297\n81730 100000\n30307 45659\n86942 100000\n40031 60217\n24740 37290\n68744 100000\n5927 8911\n15417 23229\n32102 48345\n85367 100000\n23657 35657\n18619 28066\n35142 52867\n64081 96116\n58783 88178\n42945 64558\n56332 84508\n90164 100000\n49774 74736\n99456 100000\n42635 64104\n51419 77174\n57448 86184\n87912 100000\n45772 68759\n70834 100000\n41035 61721\n15497 23347\n74297 100000\n18733 28234\n82039 100000\n6488 9742\n57004 85516\n92538 100000\n89750 100000\n582 866\n63456 95172\n31996 48187\n36051 54214\n58825 88243\n42697 64193\n11162 16797\n4215 6356\n92483 100000\n96900 100000\n55138 82731\n98239 100000\n69498 100000\n43136 64843\n34061 51274\n41933 63060\n57159 85746\n81478 100000\n73717 100000\n52259 78449\n71765 100000\n93165 100000\n73933 100000\n97463 100000\n76757 100000\n88091 100000\n9982 15014\n73515 100000\n3135 4743\n69398 100000\n33998 51184\n3491 5275\n98929 100000\n2817 4273\n35900 53992\n64443 96658\n52934 79461\n35186 52936\n83888 100000\n18813 28350\n17298 26067\n66901 100000\n49106 73732\n69422 100000\n69709 100000\n89272 100000\n11744 17670\n22656 34129\n50464 75756\n29030 43718\n48940 73480\n79378 100000\n50425 75700\n62611 93909\n7111 10677\n54104 81175\n93971 100000\n62049 93082\n67219 100000\n99589 100000\n16006 24117\n38179 57442\n21398 32260\n95740 100000\n61397 92119\n34882 52479\n79635 100000\n19352 29151\n52089 78188\n496 733\n35008 52665\n42633 64100\n86635 100000\n73988 100000\n22718 34225\n97308 100000\n71682 100000\n49678 74599\n50226 75406\n53097 79715\n87108 100000\n17328 26110\n6552 9833\n44269 66531\n20374 30676\n382 558\n81425 100000\n72761 100000\n4008 6045\n88587 100000\n6079 9127\n92617 100000\n41955 63095\n22053 33247\n73016 100000\n91131 100000\n2784 4220\n19193 28912\n52098 78203\n88635 100000\n66939 100000\n61562 92356\n16018 24135\n19372 29179\n12890 19413\n30948 46601\n76942 100000\n1822 2750\n45413 68241\n86288 100000\n81538 100000\n92077 100000\n85200 100000\n55690 83567\n42826 64376\n62038 93068\n32401 48791\n55858 83807\n6898 10352\n53071 79672\n62559 93839\n94523 100000\n53376 80120\n40879 61484\n25293 38116\n68264 100000\n83839 100000\n28035 42204\n68771 100000\n85296 100000\n50287 75499\n46871 70405\n81067 100000\n65460 98190\n93808 100000\n84573 100000\n6140 9220\n76842 100000\n84352 100000\n94968 100000\n66629 99934\n96953 100000\n19392 29209\n34868 52461\n9162 13765\n3994 6025\n85109 100000\n99890 100000\n62501 93748\n25706 38755\n44394 66722\n95223 100000\n92019 100000\n72731 100000\n52622 78998\n73873 100000\n66489 99728\n29018 43699\n88001 100000\n11727 17647\n74085 100000\n87197 100000\n15425 23239\n5714 8585\n91737 100000\n91394 100000\n44313 66594\n34374 51737\n82235 100000\n13969 21035\n8022 12051\n22013 33189\n59966 89966\n83018 100000\n17615 26545\n35548 53462\n39375 59244\n52738 79164\n3385 5120\n1427 2143\n7964 11966\n93472 100000\n44208 66438\n44509 66893\n63852 95781\n32873 49494\n89180 100000\n40382 60736\n52722 79143\n79425 100000\n26294 39613\n48016 72117\n37723 56731\n97416 100000\n33053 49780\n14612 21998\n88297 100000\n71634 100000\n5528 8295\n75231 100000\n29664 44677\n72450 100000\n71509 100000\n31400 47291\n8669 13016\n61967 92958\n7802 11720\n89017 100000\n33591 50571\n31891 48032\n43912 65994\n49568 74438\n46634 70054\n97501 100000\n7437 11179\n46410 69724\n96858 100000\n88238 100000\n22646 34114\n29770 44842\n34349 51702\n56194 84311\n24519 36946\n41497 62411\n57777 86668\n54617 81944\n91301 100000\n72345 100000\n11033 16603\n54739 82118\n38287 57608\n53608 80448\n53345 80078\n54440 81679\n75142 100000\n20425 30756\n76788 100000\n30532 45989\n60499 90767\n980 1465\n50316 75539\n8384 12584\n81138 100000\n82671 100000\n40452 60840\n18373 27689\n62163 93255\n82160 100000\n74359 100000\n15739 23708\n4217 6360\n92037 100000\n94148 100000\n47125 70801\n35742 53759\n72653 100000\n50201 75371\n29747 44812\n19766 29766\n15217 22914\n50704 76120\n15583 23476\n91163 100000\n48037 72147\n98793 100000\n43782 65802\n75651 100000\n36576 55019\n84399 100000\n74637 100000\n20066 30223\n89717 100000\n51858 77853\n81615 100000\n1546 2321\n72200 100000\n88268 100000\n92639 100000\n9075 13636\n37597 56541\n28954 43598\n98153 100000\n26340 39680\n22363 33702\n99045 100000\n62925 94366\n42993 64625\n53152 79797\n19395 29214\n73032 100000\n30800 46388\n37028 55695\n93195 100000\n21277 32074\n28147 42383\n77543 100000\n41481 62390\n8811 13237\n44786 67316\n50134 75273\n37623 56579\n68869 100000\n42030 63203\n14623 22014\n76918 100000\n66799 100000\n93270 100000\n89901 100000\n25932 39093\n1675 2521\n19067 28717\n36339 54658\n66999 100000\n83572 100000\n41966 63111\n21534 32466\n991 1482\n79821 100000\n3199 4839\n81796 100000\n88179 100000\n12251 18432\n21632 32612\n2865 4341\n49724 74665\n80880 100000\n39532 59469\n69439 100000\n83660 100000\n32090 48328\n45295 68071\n54604 81924\n86032 100000\n49475 74292\n2534 3834\n40258 60544\n32325 48685\n21639 32622\n87627 100000\n22823 34380\n40552 60996\n95267 100000\n2130 3223\n86347 100000\n40987 61646\n71172 100000\n17011 25625\n56674 85019\n63604 95406\n89225 100000\n64756 97123\n73681 100000\n57846 86769\n98500 100000\n78264 100000\n49866 74871\n55835 83774\n48473 72786\n14132 21284\n78555 100000\n45442 68280\n55586 83417\n35582 53509\n58621 87920\n74800 100000\n87376 100000\n18108 27281\n44489 66859\n45170 67889\n67973 100000\n5732 8610\n40546 60986\n76424 100000\n67997 100000\n99071 100000\n6054 9092\n62974 94441\n45352 68155\n81814 100000\n76535 100000\n74116 100000\n82173 100000\n19111 28786\n67181 100000\n9003 13525\n83341 100000\n89683 100000\n81634 100000\n29002 43672\n5791 8695\n28202 42466\n26040 39236\n16516 24881\n57356 86048\n19850 29893\n74292 100000\n39806 59885\n1786 2693\n69981 100000\n56597 84904\n25788 38879\n8036 12072\n21503 32419\n58177 87267\n95187 100000\n14193 21368\n8505 12771\n60855 91307\n95273 100000\n78301 100000\n52445 78730\n7384 11096\n895 1338\n39935 60067\n75753 100000\n53599 80438\n3745 5652\n88937 100000\n34546 51987\n69245 100000\n63446 95156\n81429 100000\n34555 52001\n67120 100000\n44646 67100\n87079 100000\n59153 88738\n44861 67424\n23490 35400\n43731 65723\n8485 12743\n32008 48202\n2043 3086\n36577 55020\n84975 100000\n64759 97128\n37994 57151\n47492 71343\n98374 100000\n47252 70982\n56200 84320\n35433 53302\n55420 83168\n96162 100000\n37976 57125\n8171 12277\n58948 88429\n13731 20673\n28295 42607\n50983 76532\n70801 100000\n56224 84356\n84506 100000\n55938 83923\n17009 25621\n34970 52604\n47033 70662\n20365 30664\n80079 100000\n86263 100000\n40610 61079\n35228 52998\n60500 90769\n94101 100000\n57859 86788\n19618 29548\n96987 100000\n41889 62992\n84724 100000\n51272 76958\n80877 100000\n46006 69111\n68042 100000\n33017 49729\n14348 21592\n74970 100000\n41040 61730\n88456 100000\n26793 40359\n97545 100000\n80527 100000\n40538 60974\n35435 53305\n97809 100000\n48653 73053\n75115 100000\n76022 100000\n37317 56121\n83267 100000\n66952 100000\n12160 18299\n99928 100000\n20615 31051\n99767 100000\n68730 100000\n44393 66721\n31690 47726\n93785 100000\n7897 11867\n44036 66183\n65068 97588\n80764 100000\n3885 5858\n58724 88082\n41467 62369\n40103 60321\n65553 98327\n94842 100000\n11246 16919\n55472 83242\n40787 61345\n35828 53887\n21835 32917\n22574 34011\n97204 100000\n82327 100000\n22132 33363\n11191 16839\n51012 76576\n35921 54026\n23781 35845\n66466 99694\n39951 60091\n40883 61491\n3231 4889\n83078 100000\n62635 93947\n43907 65985\n95129 100000\n84732 100000\n55006 82529\n83034 100000\n52612 78983\n42071 63268\n49870 74876\n35570 53492\n36603 55063\n98194 100000\n60916 91394\n82540 100000\n12860 19364\n67503 100000\n54473 81735\n11842 17816\n46268 69508\n40059 60257\n36934 55548\n54624 81956\n72429 100000\n66585 99868\n48358 72619\n59313 88977\n87685 100000\n33441 50348\n64479 96708\n92585 100000\n78112 100000\n88726 100000\n50869 76368\n24902 37546\n65296 97937\n6778 10178\n57821 86732\n48731 73173\n95286 100000\n88090 100000\n44523 66914\n9754 14661\n14873 22397\n261 371\n24578 37035\n22068 33271\n54935 82423\n446 661\n27468 41362\n33883 51020\n54810 82230\n19773 29774\n41560 62504\n99209 100000\n53711 80609\n34845 52426\n39663 59674\n84046 100000\n20700 31183\n32358 48734\n44270 66532\n18453 27810\n696 1043\n31233 47037\n36266 54543\n91167 100000\n79502 100000\n80674 100000\n61036 91574\n64793 97183\n39683 59703\n78012 100000\n26308 39635\n77322 100000\n55811 83740\n98064 100000\n23492 35404\n45687 68635\n27705 41719\n31324 47175\n59977 89981\n25310 38146\n65320 97970\n88586 100000\n95675 100000\n4111 6203\n32042 48253\n77505 100000\n78154 100000\n68989 100000\n66016 99010\n54391 81604\n47971 72051\n4833 7289\n48842 73336\n7483 11252\n53517 80319\n42001 63163\n4291 6468\n65802 98684\n31592 47579\n34146 51398\n65906 98843\n29957 45129\n10078 15161\n24924 37576\n4525 6820\n68591 100000\n54878 82332\n22286 33591\n26024 39215\n14152 21312\n72684 100000\n57363 86059\n11577 17420\n92278 100000\n24552 36994\n17662 26615\n89934 100000\n78037 100000\n29080 43789\n73039 100000\n41174 61936\n64223 96325\n62112 93176\n34274 51594\n77600 100000\n1513 2269\n97014 100000\n99340 100000\n1205 1802\n98878 100000\n52330 78558\n55594 83428\n60281 90439\n63999 95993\n60705 91083\n55022 82550\n70262 100000\n37567 56494\n22067 33269\n37295 56092\n48400 72680\n22717 34224\n85479 100000\n89460 100000\n2872 4352\n94957 100000\n42346 63669\n79935 100000\n88015 100000\n10121 15225\n85260 100000\n6061 9101\n91079 100000\n95000 100000\n49936 74972\n9002 13523\n1014 1515\n58430 87633\n92471 100000\n95765 100000\n14012 21101\n39605 59581\n71825 100000\n54957 82457\n78258 100000\n8451 12683\n4142 6250\n90688 100000\n89889 100000\n79902 100000\n63905 95855\n47046 70683\n57869 86805\n41489 62401\n22380 33728\n34235 51528\n96313 100000\n67837 100000\n98616 100000\n56156 84255\n86775 100000\n24323 36660\n28991 43655\n62672 94004\n28835 43422\n25635 38645\n89886 100000\n81026 100000\n72287 100000\n58815 88229\n39772 59832\n37478 56365\n58569 87839\n68231 100000\n25889 39029\n46970 70561\n33734 50789\n96550 100000\n83560 100000\n75355 100000\n53562 80384\n45495 68359\n302 436\n28334 42657\n44623 67064\n28722 43247\n97594 100000\n45006 67638\n56007 84031\n67456 100000\n44879 67450\n805 1204\n86586 100000\n90923 100000\n21331 32161\n31476 47407\n6641 9966\n99593 100000\n537 794\n99101 100000\n3452 5219\n36502 54902\n44154 66358\n42153 63385\n99374 100000\n71502 100000\n38066 57268\n71095 100000\n6703 10061\n15257 22976\n94914 100000\n5772 8667\n7940 11929\n84339 100000\n94501 100000\n70152 100000\n74412 100000\n79386 100000\n31945 48111\n79790 100000\n66630 99935\n89091 100000\n97034 100000\n90053 100000\n73742 100000\n36301 54597\n42696 64192\n77802 100000\n19179 28892\n45623 68545\n28204 42468\n3650 5509\n24363 36719\n81850 100000\n36812 55366\n26223 39505\n10479 15760\n3464 5238\n18454 27812\n33874 51006\n68069 100000\n1957 2954\n43811 65846\n35331 53146\n90268 100000\n55411 83154\n31237 47043\n19040 28678\n57905 86861\n54217 81344\n55605 83442\n85751 100000\n78799 100000\n39674 59689\n22393 33746\n94325 100000\n10319 15520\n66269 99401\n76867 100000\n60175 90287\n8213 12336\n47851 71871\n63265 94887\n34182 51454\n8203 12323\n61138 91731\n21049 31720\n17811 26836\n88371 100000\n77952 100000\n85088 100000\n40772 61324\n18329 27622\n41818 62888\n17135 25815\n22665 34144\n55150 82750\n22292 33599\n97777 100000\n22173 33422\n9788 14713\n99950 100000\n33559 50523\n30781 46361\n80778 100000\n82818 100000\n73905 100000\n12335 18552\n34060 51272\n322 462\n50881 76385\n19483 29347\n89001 100000\n19471 29328\n30478 45910\n59265 88903\n26154 39411\n5163 7767\n99083 100000\n27861 41950\n82268 100000\n11699 17607\n92295 100000\n54580 81893\n14597 21975\n36818 55374\n78374 100000\n11971 18005\n4168 6289\n24065 36271\n29571 44533\n78907 100000\n87117 100000\n35184 52934\n40590 61050\n91821 100000\n6117 9185\n91611 100000\n89673 100000\n32617 49117\n40957 61597\n49733 74678\n49141 73784\n87133 100000\n55775 83683\n61599 92414\n24124 36359\n439 649\n53054 79646\n78954 100000\n25032 37727\n99365 100000\n36624 55092\n27087 40792\n22251 33541\n97558 100000\n76883 100000\n82846 100000\n72576 100000\n28531 42950\n59712 89577\n72565 100000\n86602 100000\n39262 59065\n55014 82540\n44116 66300\n29237 44027\n53120 79747\n89661 100000\n71337 100000\n20092 30263\n85740 100000\n56706 85072\n51091 76690\n55441 83197\n86742 100000\n17518 26391\n67045 100000\n3169 4793\n25835 38950\n75320 100000\n28697 43208\n20259 30503\n14350 21596\n18564 27985\n15912 23976\n88840 100000\n33944 51108\n90880 100000\n50569 75918\n17758 26756\n51334 77046\n43279 65063\n87764 100000\n34718 52241\n25807 38907\n8140 12232\n4779 7206\n64106 96154\n46176 69365\n38518 57949\n48291 72519\n1750 2638\n97079 100000\n21844 32930\n93111 100000\n64448 96667\n98755 100000\n5364 8058\n72318 100000\n29973 45154\n29447 44341\n36964 55593\n32809 49400\n70786 100000\n17658 26608\n10747 16162\n36781 55319\n2533 3833\n22863 34445\n92438 100000\n30783 46364\n21923 33054\n53931 80925\n14672 22089\n5735 8615\n48890 73401\n22879 34468\n12461 18744\n51087 76685\n5945 8939\n39206 58982\n62067 93108\n91918 100000\n33310 50159\n44209 66439\n25870 39001\n9613 14453\n79645 100000\n35338 53155\n12844 19338\n81915 100000\n63133 94686\n22246 33533\n6761 10152\n89670 100000\n54930 82413\n62845 94250\n36993 55638\n55271 82937\n17385 26187\n98970 100000\n3831 5772\n34018 51214\n63185 94766\n72526 100000\n48777 73240\n62630 93938\n4157 6273\n56870 85311\n79262 100000\n86175 100000\n78305 100000\n98941 100000\n6579 9872\n85517 100000\n40204 60466\n91505 100000\n49682 74604\n85962 100000\n7953 11951\n56252 84396\n80633 100000\n52319 78542\n12261 18446\n26729 40264\n35080 52772\n15399 23203\n18395 27720\n50067 75163\n84892 100000\n85099 100000\n83064 100000\n19995 30116\n3917 5909\n24048 36249\n71633 100000\n8647 12984\n47455 71286\n4449 6706\n91906 100000\n70349 100000\n80476 100000\n35575 53498\n18527 27923\n96885 100000\n98797 100000\n11193 16843\n3275 4958\n12982 19554\n70193 100000\n68002 100000\n58900 88355\n53017 79592\n29815 44909\n84065 100000\n31532 47492\n23586 35553\n90588 100000\n79094 100000\n47173 70869\n70986 100000\n30487 45925\n20233 30468\n83336 100000\n13244 19948\n48340 72591\n76454 100000\n86295 100000\n74601 100000\n4530 6830\n25380 38250\n28988 43650\n86159 100000\n5547 8321\n25995 39173\n52014 78082\n15504 23360\n25106 37840\n82172 100000\n83105 100000\n13581 20448\n43997 66128\n6186 9290\n40675 61173\n20008 30135\n61279 91942\n11085 16686\n10447 15715\n18590 28024\n16430 24750\n83331 100000\n27921 42041\n14523 21865\n29285 44101\n6860 10299\n2787 4225\n37620 56574\n43679 65651\n26062 39270\n99880 100000\n67507 100000\n74350 100000\n51354 77076\n31762 47833\n70928 100000\n54382 81593\n71124 100000\n40216 60483\n58845 88273\n59484 89241\n69396 100000\n92750 100000\n79641 100000\n69556 100000\n24184 36450\n12776 19238\n82356 100000\n8095 12161\n31603 47596\n10634 15987\n23985 36152\n7783 11690\n66899 100000\n18055 27201\n80078 100000\n65231 97841\n78976 100000\n32857 49469\n23407 35271\n72122 100000\n67365 100000\n6550 9830\n2856 4328\n41675 62676\n55074 82631\n34273 51592\n56192 84309\n54710 82079\n35839 53903\n26315 39645\n83778 100000\n59613 89431\n83456 100000\n34947 52572\n98948 100000\n69690 100000\n39964 60111\n36093 54282\n57556 86334\n73062 100000\n87855 100000\n59034 88564\n72590 100000\n5266 7914\n247 351\n4040 6094\n64568 96842\n95364 100000\n83702 100000\n43816 65854\n9042 13586\n21227 31993\n81659 100000\n75524 100000\n95709 100000\n54435 81671\n63895 95842\n36367 54699\n16773 25258\n91410 100000\n88674 100000\n64657 96974\n23068 34764\n35047 52723\n24946 37604\n98987 100000\n23508 35432\n5431 8154\n58656 87971\n51586 77432\n27105 40821\n32701 49234\n88142 100000\n10831 16290\n18822 28364\n21768 32812\n91211 100000\n52508 78822\n56388 84596\n27138 40871\n23875 35990\n39543 59486\n23212 34984\n52003 78063\n23935 36073\n77212 100000\n95626 100000\n2285 3459\n97797 100000\n87638 100000\n23609 35585\n7817 11743\n8772 13174\n27156 40898\n46799 70297\n61905 92873\n42006 63169\n27542 41479\n65313 97960\n38343 57693\n38336 57683\n20717 31213\n13204 19887\n32463 48883\n3210 4856\n21908 33032\n41612 62581\n84368 100000\n27624 41597\n87639 100000\n47385 71181\n88979 100000\n81357 100000\n13834 20831\n21805 32868\n72945 100000\n80390 100000\n32756 49314\n31306 47150\n49456 74263\n2307 3493\n33813 50910\n99921 100000\n14848 22353\n54734 82110\n29330 44171\n13821 20811\n51646 77528\n51645 77526\n97580 100000\n81983 100000\n64927 97380\n62524 93779\n20170 30377\n61862 92804\n1665 2507\n2004 3028\n97756 100000\n34709 52228\n32470 48894\n28780 43338\n88141 100000\n95554 100000\n9823 14769\n98288 100000\n84440 100000\n94869 100000\n77356 100000\n38143 57388\n24330 36668\n2704 4086\n93169 100000\n84429 100000\n10034 15095\n12416 18677\n43801 65831\n92155 100000\n12065 18144\n99791 100000\n96677 100000\n94832 100000\n45806 68812\n6808 10220\n68556 100000\n52471 78768\n71847 100000\n5576 8369\n95786 100000\n92861 100000\n75136 100000\n25545 38503\n32123 48376\n97314 100000\n46020 69131\n38385 57753\n2347 3546\n6239 9370\n83080 100000\n41778 62826\n85029 100000\n60212 90339\n7903 11876\n58030 87048\n17487 26346\n73767 100000\n64382 96564\n5299 7963\n21736 32759\n87541 100000\n58020 87033\n82376 100000\n98465 100000\n30869 46482\n40995 61659\n33022 49737\n4065 6132\n86230 100000\n67058 100000\n48498 72830\n29620 44612\n8259 12403\n20328 30605\n26353 39702\n91914 100000\n70449 100000\n68655 100000\n10384 15623\n26413 39795\n98354 100000\n84938 100000\n82380 100000\n61272 91933\n1005 1502\n76765 100000\n71462 100000\n42399 63748\n17721 26704\n81817 100000\n40383 60738\n81197 100000\n48210 72396\n52786 79237\n39942 60077\n69000 100000\n31321 47170\n45621 68543\n21704 32713\n80323 100000\n49082 73695\n53009 79580\n4247 6404\n34574 52028\n86353 100000\n5387 8088\n21198 31950\n45 65\n7771 11672\n6593 9892\n60262 90413\n44898 67477\n92200 100000\n47560 71443\n49212 73898\n92739 100000\n13071 19686\n79137 100000\n17862 26908\n94977 100000\n33326 50180\n22423 33792\n26042 39238\n46749 70228\n23736 35778\n66792 100000\n97320 100000\n14892 22423\n48448 72747\n97457 100000\n24244 36538\n14277 21485\n82453 100000\n12303 18509\n61554 92345\n98862 100000\n41264 62064\n96644 100000\n27541 41477\n9670 14534\n66751 100000\n85034 100000\n4060 6125\n57432 86163\n62941 94392\n65664 98491\n36050 54212\n66827 100000\n45465 68314\n94688 100000\n33175 49957\n20723 31222\n64906 97350\n97860 100000\n16605 25012\n10956 16490\n8795 13213\n20408 30730\n49811 74788\n87073 100000\n16574 24962\n69801 100000\n7304 10970\n46467 69805\n7709 11581\n53551 80369\n54768 82166\n87992 100000\n91977 100000\n41309 62137\n66945 100000\n12879 19395\n10232 15394\n57025 85547\n2888 4380\n68952 100000\n97367 100000\n38417 57802\n66207 99308\n47974 72056\n20471 30824\n41231 62021\n99914 100000\n87172 100000\n29599 44578\n16542 24917\n44760 67277\n21451 32342\n62500 93746\n83840 100000\n65259 97880\n18497 27875\n17028 25649\n88447 100000\n66762 100000\n5481 8230\n13659 20564\n98431 100000\n63694 95543\n82054 100000\n78477 100000\n54277 81436\n36615 55080\n28717 43238\n50107 75228\n9978 15007\n9096 13665\n54984 82495\n5726 8602\n59624 89445\n93247 100000\n93414 100000\n79476 100000\n58807 88217\n71868 100000\n1252 1874\n84981 100000\n33034 49753\n665 996\n71704 100000\n17770 26774\n98154 100000\n89142 100000\n87591 100000\n35826 53885\n9715 14603\n74183 100000\n55018 82546\n43072 64750\n75218 100000\n87104 100000\n50304 75524\n44304 66579\n36953 55576\n15873 23920\n70590 100000\n87766 100000\n16529 24902\n87113 100000\n1464 2204\n39783 59851\n81869 100000\n65467 98201\n2684 4056\n96113 100000\n95174 100000\n51861 77857\n336 485\n18039 27177\n77386 100000\n3279 4966\n70107 100000\n5239 7880\n7858 11805\n83717 100000\n99008 100000\n32976 49659\n68994 100000\n16559 24941\n8564 12856\n90490 100000\n21644 32629\n48119 72256\n86597 100000\n3308 5003\n29259 44061\n25607 38599\n93571 100000\n96372 100000\n93999 100000\n64490 96727\n40643 61127\n77579 100000\n52491 78796\n19227 28961\n9289 13958\n80701 100000\n93415 100000\n83250 100000\n87927 100000\n93106 100000\n42970 64593\n82501 100000\n1698 2557\n1227 1836\n89371 100000\n46245 69469\n18172 27378\n28228 42503\n51229 76896\n51591 77439\n4437 6690\n99097 100000\n77805 100000\n59711 89576\n98383 100000\n8029 12060\n44335 66628\n42509 63916\n89516 100000\n18343 27643\n82974 100000\n70119 100000\n28952 43595\n17470 26322\n43890 65961\n78090 100000\n53901 80883\n80216 100000\n70454 100000\n28390 42744\n95964 100000\n61654 92498\n60761 91177\n9566 14382\n84494 100000\n84229 100000\n9336 14030\n84066 100000\n23757 35808\n9921 14918\n31951 48119\n90654 100000\n44142 66339\n66215 99319\n87670 100000\n20274 30529\n26186 39454\n52120 78240\n56540 84820\n90194 100000\n16549 24926\n70573 100000\n79968 100000\n84122 100000\n89675 100000\n28859 43454\n85503 100000\n57362 86057\n70743 100000\n52215 78387\n28880 43485\n87302 100000\n99092 100000\n34057 51267\n58433 87637\n59277 88923\n35030 52696\n16848 25368\n1560 2341\n27203 40973\n7443 11188\n83969 100000\n72242 100000\n46179 69369\n63565 95344\n4629 6982\n98918 100000\n23857 35960\n7205 10825\n25067 37784\n91826 100000\n24071 36283\n70103 100000\n91836 100000\n7943 11935\n90285 100000\n48965 73520\n23268 35066\n94929 100000\n94671 100000\n78273 100000\n59890 89853\n13030 19625\n27487 41392\n14048 21158\n63640 95464\n4937 7443\n60797 91229\n75563 100000\n24572 37024\n70285 100000\n29826 44928\n12705 19124\n13280 20004\n71101 100000\n69695 100000\n47096 70758\n86456 100000\n22926 34541\n53553 80372\n85895 100000\n93466 100000\n11322 17042\n61457 92207\n37936 57066\n85293 100000\n2956 4470\n61626 92456\n84274 100000\n96256 100000\n62834 94238\n49775 74738\n32963 49638\n83321 100000\n94454 100000\n52037 78114\n44074 66237\n20055 30206\n42925 64528\n34037 51240\n96361 100000\n51650 77534\n36034 54189\n46386 69687\n846 1265\n77051 100000\n41211 61994\n53605 80444\n64495 96735\n68142 100000\n35707 53703\n95585 100000\n14797 22276\n47714 71666\n52905 79421\n58101 87157\n4457 6719\n9140 13734\n1217 1819\n72368 100000\n17654 26601\n95824 100000\n37962 57102\n67584 100000\n4864 7333\n80005 100000\n642 963\n99421 100000\n55434 83187\n62726 94078\n95045 100000\n40855 61446\n32233 48547\n51896 77906\n92100 100000\n56066 84119\n96587 100000\n92468 100000\n66567 99843\n29016 43695\n71905 100000\n87194 100000\n20697 31179\n363 529\n52873 79369\n93397 100000\n49444 74244\n23961 36111\n16839 25354\n10203 15349\n4169 6290\n66465 99693\n16260 24504\n89040 100000\n35644 53604\n274 394\n25011 37697\n36313 54617\n94591 100000\n29893 45025\n23509 35434\n16454 24782\n60599 90922\n97961 100000\n5676 8520\n58554 87818\n15338 23107\n77809 100000\n76707 100000\n9843 14796\n14011 21100\n30569 46048\n11531 17356\n30794 46379\n96843 100000\n80049 100000\n72081 100000\n79364 100000\n23538 35481\n75742 100000\n37854 56938\n1153 1719\n40896 61510\n58557 87821\n33754 50819\n45851 68876\n97474 100000\n18708 28198\n86485 100000\n77672 100000\n46973 70564\n10552 15868\n34080 51305\n25102 37835\n99304 100000\n13058 19667\n46213 69422\n33841 50950\n49564 74432\n520 769\n99778 100000\n70380 100000\n9242 13886\n46557 69938\n31401 47292\n6407 9618\n97201 100000\n80869 100000\n34662 52163\n43257 65028\n32420 48817\n74080 100000\n69637 100000\n60237 90379\n92366 100000\n62832 94236\n33451 50364\n3830 5771\n23221 34997\n59091 88649\n46039 69158\n3329 5033\n53604 80443\n11774 17716\n54386 81597\n78693 100000\n60166 90275\n50500 75809\n48579 72944\n869 1297\n21380 32236\n15444 23267\n55543 83346\n15017 22613\n91220 100000\n13554 20407\n84223 100000\n22785 34329\n92142 100000\n18899 28474\n41863 62956\n46206 69410\n96121 100000\n66168 99251\n66238 99356\n47159 70850\n77503 100000\n76187 100000\n11975 18011\n41918 63038\n66495 99736\n52444 78729\n86286 100000\n16459 24791\n77835 100000\n7574 11381\n46190 69384\n39716 59750\n24485 36897\n22828 34389\n40899 61513\n48868 73372\n9477 14248\n76531 100000\n347 503\n54362 81566\n56539 84819\n30872 46487\n20880 31464\n62300 93458\n74307 100000\n74180 100000\n47958 72029\n97419 100000\n47124 70799\n56952 85437\n91739 100000\n99691 100000\n2816 4272\n80217 100000\n89940 100000\n70277 100000\n58106 87165\n28638 43118\n56420 84643\n48006 72100\n6216 9338\n84582 100000\n85196 100000\n22020 33200\n2284 3457\n98573 100000\n34690 52203\n51497 77295\n78155 100000\n76174 100000\n90653 100000\n48577 72941\n9490 14267\n48121 72260\n89067 100000\n97823 100000\n80532 100000\n21397 32258\n36252 54521\n54839 82273\n94706 100000\n27071 40768\n33334 50192\n44775 67301\n67295 100000\n58356 87533\n37724 56732\n71450 100000\n21333 32164\n39094 58810\n16697 25150\n69749 100000\n43793 65819\n5682 8530\n11556 17393\n96255 100000\n11527 17349\n94597 100000\n57293 85955\n37795 56848\n17997 27116\n75562 100000\n3920 5913\n93979 100000\n18494 27871\n87530 100000\n35284 53076\n80340 100000\n83642 100000\n60498 90766\n39459 59364\n78224 100000\n71960 100000\n24039 36238\n38893 58512\n25965 39133\n64747 97110\n11760 17692\n38844 58440\n54980 82488\n1773 2675\n84687 100000\n76712 100000\n78297 100000\n54259 81408\n65962 98933\n2021 3055\n99745 100000\n64146 96211\n52561 78911\n50644 76033\n29581 44549\n42980 64607\n33571 50542\n55473 83243\n82937 100000\n4034 6086\n33032 49751\n89041 100000\n7589 11404\n34808 52374\n19424 29254\n69229 100000\n30585 46071\n29385 44250\n20807 31353\n81761 100000\n4595 6930\n30868 46481\n39520 59456\n83581 100000\n93419 100000\n69707 100000\n83160 100000\n20105 30281\n68456 100000\n61845 92781\n91027 100000\n40658 61150\n41275 62083\n5835 8766\n85856 100000\n31369 47243\n48704 73130\n2228 3372\n46233 69450\n5885 8845\n66549 99817\n21454 32345\n34943 52567\n59112 88679\n45620 68541\n37835 56909\n37412 56264\n78003 100000\n89417 100000\n30602 46101\n91407 100000\n38811 58388\n78337 100000\n14826 22320\n19694 29661\n13520 20355\n22513 33922\n43129 64833\n23233 35015\n34421 51806\n28319 42642\n84234 100000\n28423 42794\n97271 100000\n48563 72923\n75741 100000\n60622 90959\n32824 49422\n72548 100000\n14341 21579\n55027 82558\n58456 87670\n66509 99758\n47874 71905\n2205 3340\n15048 22659\n69880 100000\n17918 26997\n26265 39568\n16262 24506\n16621 25033\n4361 6576\n91023 100000\n60295 90459\n16033 24158\n81128 100000\n98175 100000\n79837 100000\n13213 19901\n16436 24759\n51806 77773\n5157 7761\n87673 100000\n82036 100000\n13440 20242\n16466 24802\n5850 8793\n85911 100000\n34857 52445\n48851 73351\n63773 95662\n86846 100000\n37690 56679\n46812 70316\n2430 3671\n12839 19333\n67993 100000\n65833 98734\n13580 20446\n9440 14190\n26872 40482\n27343 41178\n37318 56123\n33746 50807\n29730 44783\n4348 6556\n39090 58803\n19096 28762\n92421 100000\n22336 33665\n63867 95802\n39661 59671\n8790 13204\n70397 100000\n31462 47388\n46904 70452\n76021 100000\n75703 100000\n81265 100000\n30705 46253\n78375 100000\n55210 82843\n30917 46556\n25628 38636\n52429 78709\n71487 100000\n60075 90131\n37018 55677\n19714 29694\n46978 70572\n8519 12790\n62554 93831\n19701 29672\n51001 76559\n83238 100000\n90500 100000\n24850 37463\n96684 100000\n19010 28637\n52691 79097\n17368 26163\n83828 100000\n39207 58983\n88032 100000\n97635 100000\n3564 5381\n17836 26871\n18686 28164\n30252 45584\n54506 81787\n37284 56075\n94790 100000\n90084 100000\n91111 100000\n62545 93816\n15222 22922\n78581 100000\n94656 100000\n50378 75628\n27516 41440\n48986 73553\n32262 48586\n611 914\n1515 2272\n3076 4652\n91096 100000\n21697 32704\n21610 32578\n82599 100000\n31823 47925\n41546 62484\n13375 20144\n45345 68146\n28462 42852\n80769 100000\n46271 69512\n79350 100000\n58280 87417\n63036 94534\n88827 100000\n94837 100000\n60612 90944\n17974 27079\n13156 19822\n83247 100000\n1374 2064\n53078 79684\n27337 41169\n34025 51223\n2689 4063\n61172 91782\n58382 87568\n13278 20001\n82847 100000\n1850 2792\n9598 14429\n98846 100000\n66255 99382\n86922 100000\n19882 29946\n69004 100000\n7610 11435\n72745 100000\n58482 87710\n28004 42153\n34917 52530\n34915 52527\n88390 100000\n68510 100000\n14027 21125\n13089 19716\n87497 100000\n97730 100000\n61537 92322\n15468 23301\n64275 96401\n98953 100000\n79637 100000\n80135 100000\n33668 50689\n77437 100000\n84363 100000\n54305 81475\n16008 24121\n69481 100000\n87071 100000\n35444 53320\n41152 61903\n6961 10449\n30955 46612\n82254 100000\n18299 27577\n44965 67576\n52035 78111\n82476 100000\n40291 60601\n82902 100000\n29091 43808\n43293 65084\n6502 9764\n58491 87725\n47595 71495\n17060 25701\n83792 100000\n94384 100000\n157 228\n43716 65703\n10183 15318\n35702 53695\n19460 29311\n51560 77393\n56996 85503\n11895 17893\n82984 100000\n89741 100000\n90127 100000\n57374 86074\n17976 27082\n13874 20893\n90918 100000\n53918 80907\n14352 21599\n21875 32979\n68136 100000\n66877 100000\n61863 92805\n85316 100000\n38246 57542\n263 374\n45092 67769\n57703 86549\n57673 86500\n87438 100000\n67976 100000\n19433 29267\n68723 100000\n14863 22380\n51110 76719\n69660 100000\n90024 100000\n73731 100000\n68187 100000\n5307 7974\n71639 100000\n73397 100000\n58683 88014\n13310 20048\n1316 1972\n46613 70023\n14778 22245\n50957 76496\n81812 100000\n46481 69826\n11634 17504\n94999 100000\n95780 100000\n77458 100000\n76176 100000\n28961 43609\n47590 71486\n88436 100000\n36408 54761\n69143 100000\n39982 60139\n44680 67150\n91553 100000\n55882 83839\n39718 59752\n38536 57978\n12264 18452\n15676 23622\n20048 30196\n31675 47702\n95434 100000\n16241 24474\n14060 21176\n55172 82783\n12994 19573\n66851 100000\n76718 100000\n66779 100000\n12673 19075\n54962 82462\n82735 100000\n57140 85720\n86774 100000\n91844 100000\n31693 47732\n66161 99242\n56013 84040\n18532 27932\n87968 100000\n46611 70021\n23526 35460\n79933 100000\n50822 76298\n19339 29135\n8649 12987\n69647 100000\n68675 100000\n61011 91539\n398 586\n42584 64024\n71061 100000\n2070 3128\n2568 3886\n17704 26679\n37506 56402\n13800 20779\n39352 59207\n5687 8539\n31540 47505\n77918 100000\n90496 100000\n27597 41559\n35602 53539\n82639 100000\n5262 7908\n36743 55262\n59593 89404\n35574 53496\n7773 11676\n83203 100000\n3939 5943\n47194 70901\n1667 2510\n59647 89481\n12893 19417\n95170 100000\n77654 100000\n33298 50142\n91083 100000\n82800 100000\n94051 100000\n24133 36375\n89577 100000\n45915 68967\n12477 18770\n14621 22011\n40716 61236\n56203 84325\n88406 100000\n20464 30814\n1299 1948\n44622 67063\n81662 100000\n24772 37338\n39416 59301\n62758 94126\n77159 100000\n66073 99098\n93173 100000\n30575 46057\n25546 38505\n13326 20073\n16623 25036\n74037 100000\n94881 100000\n77071 100000\n69479 100000\n57020 85540\n80427 100000\n10991 16544\n65471 98208\n51932 77957\n2287 3461\n58692 88027\n38899 58522\n22902 34505\n24858 37476\n21093 31788\n60770 91191\n52881 79383\n76938 100000\n69691 100000\n35356 53183\n17701 26674\n14916 22462\n91767 100000\n86525 100000\n99228 100000\n27524 41452\n93765 100000\n54947 82440\n17170 25870\n93755 100000\n38787 58351\n89263 100000\n73025 100000\n37760 56793\n64361 96533\n84240 100000\n95289 100000\n89960 100000\n86799 100000\n24716 37253\n23476 35379\n42379 63719\n29937 45093\n46251 69478\n98035 100000\n44657 67118\n66825 100000\n6012 9032\n82047 100000\n45751 68728\n29228 44014\n64345 96507\n55244 82893\n6879 10326\n39003 58676\n77982 100000\n80125 100000\n85729 100000\n50971 76514\n73086 100000\n80824 100000\n66763 100000\n98909 100000\n27325 41152\n13673 20586\n92923 100000\n13822 20812\n68564 100000\n85981 100000\n35021 52682\n66285 99428\n8521 12792\n25615 38611\n54793 82204\n59468 89214\n41890 62993\n30657 46178\n37735 56752\n61335 92028\n10590 15923\n54216 81342\n23256 35047\n70374 100000\n5983 8991\n5226 7862\n72453 100000\n15115 22760\n1684 2534\n65714 98561\n97022 100000\n38716 58237\n84192 100000\n82805 100000\n64256 96373\n67211 100000\n52965 79511\n2310 3496\n79214 100000\n77044 100000\n5660 8498\n54828 82259\n48847 73344\n67690 100000\n60028 90058\n28249 42535\n65598 98394\n91849 100000\n78412 100000\n1105 1646\n20154 30352\n16227 24451\n22449 33830\n96253 100000\n73616 100000\n60955 91451\n7842 11782\n10413 15666\n83874 100000\n2183 3307\n23501 35420\n81717 100000\n37108 55809\n98900 100000\n60515 90793\n35938 54051\n88101 100000\n37899 57009\n38475 57882\n50148 75294\n70849 100000\n72635 100000\n31663 47686\n12027 18087\n94031 100000\n92472 100000\n67551 100000\n86141 100000\n60361 90561\n51670 77562\n55421 83170\n77311 100000\n96887 100000\n22530 33947\n7011 10524\n9176 13788\n93263 100000\n83363 100000\n70070 100000\n18911 28491\n35518 53423\n60133 90221\n44416 66751\n34913 52524\n16684 25132\n19942 30037\n84085 100000\n83868 100000\n46468 69807\n16884 25425\n34472 51881\n70679 100000\n4160 6276\n24434 36826\n27745 41779\n13683 20602\n1430 2147\n86686 100000\n24377 36740\n76961 100000\n80249 100000\n94026 100000\n30683 46220\n99804 100000\n1662 2502\n22284 33589\n41525 62454\n52170 78317\n68880 100000\n84961 100000\n84980 100000\n73372 100000\n99308 100000\n14906 22445\n66780 100000\n61008 91535\n833 1247\n67271 100000\n40186 60443\n38328 57671\n69193 100000\n86987 100000\n35878 53960\n34148 51401\n2790 4230\n11889 17884\n53889 80868\n8656 12995\n76119 100000\n29705 44742\n49466 74278\n81633 100000\n96804 100000\n86142 100000\n42367 63701\n50553 75895\n39564 59517\n70204 100000\n45587 68484\n80236 100000\n41230 62019\n72589 100000\n4873 7347\n55541 83344\n318 458\n22813 34366\n54144 81232\n40090 60301\n8771 13172\n16390 24692\n48635 73024\n58099 87155\n65196 97791\n35036 52704\n94702 100000\n70315 100000\n21266 32055\n13569 20430\n27601 41564\n15464 23295\n51602 77455\n81434 100000\n47481 71326\n36462 54844\n7694 11559\n96983 100000\n7720 11598\n30748 46319\n46155 69334\n74358 100000\n70732 100000\n49479 74298\n62154 93241\n71858 100000\n49079 73691\n55707 83591\n3438 5200\n11791 17743\n27987 42129\n7865 11817\n94569 100000\n65484 98229\n12547 18876\n66443 99660\n49859 74860\n13869 20884\n30601 46099\n38404 57783\n27241 41029\n84231 100000\n58631 87937\n30847 46454\n92885 100000\n21921 33050\n10163 15287\n34878 52474\n84597 100000\n22648 34117\n30271 45609\n75364 100000\n16984 25583\n27455 41344\n41659 62650\n3223 4877\n43794 65820\n33170 49949\n10216 15371\n95051 100000\n53455 80236\n42842 64400\n72075 100000\n91878 100000\n60277 90434\n32373 48753\n79377 100000\n70311 100000\n78510 100000\n10357 15580\n77743 100000\n47398 71200\n73668 100000\n22961 34597\n44403 66735\n33353 50218\n33575 50549\n94334 100000\n84205 100000\n50698 76110\n58681 88010\n92770 100000\n85409 100000\n24255 36555\n32599 49089\n72304 100000\n51550 77377\n28782 43342\n15985 24085\n5512 8275\n79536 100000\n43689 65665\n92761 100000\n71397 100000\n20675 31141\n26953 40602\n35552 53467\n16086 24239\n7090 10643\n91132 100000\n4498 6783\n68956 100000\n38549 57998\n7916 11895\n67744 100000\n70430 100000\n91770 100000\n57158 85745\n71920 100000\n78744 100000\n55588 83419\n13308 20046\n20805 31351\n31142 46898\n80071 100000\n86889 100000\n33888 51025\n89301 100000\n18192 27412\n30926 46570\n85596 100000\n98074 100000\n61729 92609\n77904 100000\n63017 94503\n7120 10690\n50115 75241\n25019 37706\n20287 30548\n10395 15640\n47554 71434\n27439 41319\n50804 76271\n58727 88086\n90189 100000\n67818 100000\n20890 31479\n86983 100000\n82482 100000\n25273 38087\n99425 100000\n97877 100000\n34809 52375\n93496 100000\n32269 48599\n14373 21632\n95097 100000\n97907 100000\n57472 86216\n40577 61032\n26579 40043\n35687 53671\n33311 50161\n35837 53899\n79909 100000\n97807 100000\n56098 84167\n33802 50893\n79218 100000\n26138 39387\n42759 64280\n68371 100000\n64118 96171\n16072 24219\n53532 80342\n60793 91224\n5940 8930\n8114 12188\n91295 100000\n90690 100000\n41530 62462\n2885 4376\n46984 70581\n31715 47766\n80961 100000\n44582 67002\n27872 41967\n94236 100000\n36830 55394\n45219 67960\n62829 94232\n4894 7383\n41042 61733\n16293 24550\n69362 100000\n37097 55792\n56129 84211\n60082 90142\n73936 100000\n72249 100000\n29573 44536\n85515 100000\n36580 55026\n4090 6171\n74955 100000\n6327 9505\n96345 100000\n73379 100000\n21040 31705\n50896 76410\n44223 66459\n82691 100000\n95506 100000\n39618 59600\n93292 100000\n53215 79885\n64269 96392\n21453 32344\n18917 28499\n7495 11269\n2626 3972\n77079 100000\n31765 47838\n27158 40902\n83808 100000\n33863 50987\n40875 61479\n42890 64474\n61976 92973\n42843 64402\n93150 100000\n16372 24668\n56214 84341\n35741 53757\n5977 8983\n65172 97751\n61071 91627\n55418 83165\n9898 14880\n525 775\n33953 51122\n22661 34136\n60643 90990\n39620 59603\n52939 79470\n63653 95482\n3474 5252\n79829 100000\n86409 100000\n6469 9715\n94271 100000\n88570 100000\n90214 100000\n77851 100000\n52232 78409\n58005 87012\n16815 25318\n87803 100000\n821 1229\n13598 20474\n20100 30274\n39513 59445\n37308 56109\n48288 72513\n22875 34463\n88811 100000\n20062 30217\n47067 70712\n19094 28759\n74809 100000\n98218 100000\n34923 52540\n82369 100000\n30878 46497\n78097 100000\n85047 100000\n54778 82180\n52465 78760\n53536 80349\n75830 100000\n25757 38832\n60890 91357\n60400 90622\n97332 100000\n61382 92095\n33285 50122\n62484 93724\n61466 92220\n84774 100000\n72735 100000\n54672 82021\n30140 45413\n4557 6872\n8556 12845\n36084 54269\n93431 100000\n68914 100000\n65285 97919\n29478 44391\n52745 79176\n28139 42369\n54129 81209\n16257 24499\n48667 73074\n19967 30077\n21902 33022\n1074 1605\n62542 93811\n41278 62087\n94128 100000\n38534 57975\n88603 100000\n58488 87719\n48307 72540\n92460 100000\n54213 81339\n1409 2115\n77794 100000\n34602 52070\n73726 100000\n90227 100000\n89970 100000\n77988 100000\n50606 75975\n15224 22925\n59275 88919\n83462 100000\n8737 13123\n16603 25008\n40413 60784\n76365 100000\n88884 100000\n1200 1793\n19328 29119\n68403 100000\n88175 100000\n48384 72655\n3376 5107\n43766 65774\n37940 57072\n32335 48699\n39927 60054\n67817 100000\n90742 100000\n86641 100000\n46980 70575\n11754 17684\n29668 44684\n73418 100000\n30330 45693\n5798 8705\n25079 37802\n5573 8364\n82313 100000\n71763 100000\n62907 94341\n41215 61999\n51108 76716\n72744 100000\n56283 84437\n57748 86621\n95321 100000\n24734 37281\n48077 72205\n95367 100000\n68845 100000\n51424 77180\n11077 16673\n83632 100000\n38196 57470\n15312 23062\n10446 15713\n10091 15181\n74555 100000\n68825 100000\n58373 87555\n77065 100000\n27375 41223\n25924 39080\n17421 26243\n68228 100000\n22004 33176\n91019 100000\n41647 62631\n72926 100000\n78787 100000\n75444 100000\n53315 80035\n57324 86005\n13234 19932\n43853 65904\n93214 100000\n76538 100000\n41813 62880\n21250 32029\n4900 7391\n52329 78556\n84558 100000\n81626 100000\n54577 81888\n60901 91372\n80552 100000\n20610 31043\n84009 100000\n63277 94904\n40006 60177\n74163 100000\n20200 30419\n60240 90383\n69006 100000\n54752 82140\n79186 100000\n24890 37526\n88998 100000\n92913 100000\n27064 40758\n13427 20226\n57524 86288\n46757 70239\n60882 91345\n35364 53196\n41363 62214\n6524 9797\n24727 37271\n14353 21601\n12573 18914\n69030 100000\n20567 30972\n16363 24654\n108 160\n52522 78846\n96463 100000\n72131 100000\n30841 46444\n5800 8709\n95529 100000\n88643 100000\n83088 100000\n88900 100000\n98908 100000\n61829 92754\n17846 26884\n4510 6799\n83529 100000\n34034 51236\n56714 85085\n13492 20317\n30827 46423\n71735 100000\n97359 100000\n86061 100000\n42023 63193\n88383 100000\n27708 41724\n91910 100000\n92675 100000\n72915 100000\n22939 34561\n32937 49595\n46098 69247\n5890 8853\n77142 100000\n9423 14165\n25601 38588\n46495 69849\n6455 9697\n97466 100000\n64709 97051\n60477 90737\n25668 38697\n55397 83132\n25428 38326\n76775 100000\n45764 68747\n436 644\n24904 37549\n22826 34385\n38799 58371\n10452 15723\n86338 100000\n18606 28047\n87273 100000\n39045 58739\n75048 100000\n81393 100000\n8598 12909\n4704 7090\n98632 100000\n58884 88331\n60998 91519\n26605 40078\n51052 76633\n54525 81811\n14941 22501\n34163 51425\n32393 48778\n28082 42281\n91794 100000\n46395 69701\n17103 25766\n55442 83198\n38965 58618\n11564 17404\n14979 22560\n49181 73848\n25699 38744\n86367 100000\n35401 53253\n28517 42932\n33640 50649\n79980 100000\n64885 97318\n14086 21213\n63946 95913\n95599 100000\n6794 10203\n68106 100000\n25066 37782\n38224 57510\n50358 75599\n54762 82157\n37349 56167\n57518 86279\n12239 18413\n64348 96512\n49771 74731\n74191 100000\n25492 38424\n60403 90628\n36731 55242\n82188 100000\n39963 60109\n33557 50519\n62204 93316\n40755 61297\n94713 100000\n55335 83034\n41167 61925\n16590 24986\n89092 100000\n36617 55082\n78147 100000\n75335 100000\n62476 93713\n58354 87530\n24240 36533\n54405 81628\n69180 100000\n98715 100000\n49527 74375\n68063 100000\n16250 24490\n26668 40175\n6489 9743\n93036 100000\n73708 100000\n96921 100000\n55993 84007\n87372 100000\n62604 93899\n16074 24221\n78211 100000\n56139 84225\n45533 68411\n40432 60810\n66049 99062\n75423 100000\n99208 100000\n16997 25602\n8494 12757\n24520 36948\n5886 8846\n36887 55477\n90211 100000\n97067 100000\n44843 67398\n16059 24198\n58506 87744\n24126 36362\n1768 2667\n46191 69385\n8298 12461\n23392 35249\n27788 41844\n45921 68975\n95298 100000\n53224 79900\n45550 68435\n87961 100000\n1857 2804\n25291 38113\n21308 32125\n64349 96514\n13127 19775\n49462 74272\n2963 4482\n25039 37738\n63447 95157\n85272 100000\n11718 17634\n8145 12240\n39103 58825\n56613 84929\n81764 100000\n85010 100000\n69693 100000\n86896 100000\n22459 33846\n74604 100000\n87351 100000\n15694 23650\n95048 100000\n95343 100000\n76412 100000\n3925 5922\n25217 38000\n34089 51320\n43232 64987\n51559 77392\n66322 99482\n83963 100000\n93190 100000\n38521 57955\n71204 100000\n3966 5986\n45830 68848\n6664 10003\n60006 90025\n8282 12437\n63170 94744\n78549 100000\n86532 100000\n84965 100000\n69115 100000\n31282 47113\n83551 100000\n13963 21025\n1402 2105\n11793 17747\n7860 11809\n37837 56912\n1864 2812\n61983 92984\n44953 67558\n80057 100000\n23963 36113\n45437 68274\n87488 100000\n47672 71605\n9743 14646\n42257 63537\n17134 25813\n1240 1857\n95425 100000\n79205 100000\n61751 92641\n24406 36782\n85994 100000\n18988 28601\n76143 100000\n45554 68441\n28838 43426\n8035 12070\n68372 100000\n85678 100000\n87120 100000\n34036 51238\n1168 1744\n45717 68681\n71580 100000\n122 179\n82168 100000\n64174 96253\n55529 83327\n97249 100000\n74822 100000\n52804 79266\n36388 54731\n95963 100000\n10457 15731\n52987 79544\n68787 100000\n60233 90373\n28115 42333\n20495 30866\n3942 5949\n9202 13824\n42484 63879\n47031 70658\n89311 100000\n71452 100000\n21487 32395\n2525 3820\n46902 70449\n26509 39939\n99438 100000\n27291 41102\n87663 100000\n74305 100000\n15096 22732\n44675 67143\n99397 100000\n8362 12552\n78748 100000\n10368 15596\n77576 100000\n98098 100000\n45524 68400\n71681 100000\n4254 6414\n63004 94485\n78033 100000\n79301 100000\n5149 7747\n14561 21920\n60227 90362\n19873 29930\n70385 100000\n9188 13803\n43259 65031\n93427 100000\n33482 50407\n95784 100000\n85215 100000\n84088 100000\n13503 20332\n63290 94925\n98047 100000\n81955 100000\n63847 95774\n49647 74554\n15989 24090\n36262 54537\n11927 17939\n71182 100000\n7431 11169\n37117 55825\n77232 100000\n72354 100000\n71602 100000\n27981 42122\n30644 46159\n7691 11555\n5899 8866\n59585 89389\n61709 92579\n30309 45662\n24919 37568\n42825 64375\n62082 93134\n27029 40713\n13935 20985\n99041 100000\n84045 100000\n20926 31532\n75580 100000\n96410 100000\n62232 93360\n73984 100000\n16088 24243\n99019 100000\n40130 60360\n94385 100000\n21483 32389\n16400 24706\n58599 87883\n13990 21065\n74185 100000\n56555 84841\n99023 100000\n28447 42831\n13962 21024\n4411 6651\n43924 66015\n31608 47605\n8756 13151\n85315 100000\n24664 37164\n93374 100000\n46024 69135\n44245 66491\n85490 100000\n95718 100000\n39282 59097\n1879 2833\n32169 48450\n94925 100000\n680 1017\n26174 39437\n11820 17784\n12327 18541\n94276 100000\n25859 38982\n77757 100000\n12797 19271\n43427 65282\n41911 63025\n88236 100000\n41447 62338\n59614 89433\n39022 58704\n65828 98726\n44420 66756\n91207 100000\n20109 30285\n7123 10694\n89160 100000\n629 943\n73916 100000\n5998 9010\n48799 73273\n12167 18307\n87129 100000\n94266 100000\n40348 60686\n5496 8250\n92945 100000\n62629 93936\n56083 84143\n31728 47782\n44312 66592\n58700 88038\n99200 100000\n70851 100000\n45359 68165\n38506 57929\n41896 63003\n76915 100000\n36559 54991\n27611 41579\n24174 36436\n66394 99586\n7595 11411\n79461 100000\n25188 37957\n31627 47632\n10468 15745\n97553 100000\n57059 85598\n42424 63786\n74693 100000\n67928 100000\n49432 74227\n53572 80398\n74074 100000\n77867 100000\n61484 92247\n20819 31373\n92619 100000\n87445 100000\n58771 88160\n81516 100000\n12484 18781\n21609 32577\n35139 52861\n41535 62471\n19679 29639\n67231 100000\n74914 100000\n43445 65309\n50386 75640\n36751 55274\n39028 58713\n96335 100000\n6902 10358\n25579 38553\n72226 100000\n72984 100000\n64900 97342\n44194 66416\n4860 7327\n43215 64961\n95056 100000\n29373 44233\n30857 46466\n76623 100000\n49461 74270\n92807 100000\n44202 66430\n67363 100000\n48484 72807\n2721 4115\n71721 100000\n65863 98774\n93068 100000\n96552 100000\n63115 94658\n49278 73994\n88321 100000\n48040 72151\n15740 23710\n47797 71792\n95953 100000\n43341 65157\n77567 100000\n38678 58181\n39302 59127\n22187 33442\n73712 100000\n43145 64854\n88787 100000\n65230 97840\n84642 100000\n40510 60929\n92688 100000\n73816 100000\n57903 86858\n66268 99399\n78095 100000\n57412 86132\n15172 22851\n87775 100000\n779 1169\n71471 100000\n57447 86183\n5373 8069\n32328 48690\n30688 46227\n15997 24103\n84225 100000\n59329 89002\n32829 49430\n85201 100000\n46365 69654\n12782 19246\n16611 25019\n93028 100000\n79090 100000\n83224 100000\n98722 100000\n94746 100000\n95095 100000\n59858 89808\n11404 17163\n26408 39788\n86589 100000\n97549 100000\n66122 99177\n4019 6062\n38758 58304\n89088 100000\n19707 29682\n3546 5354\n5356 8045\n94060 100000\n53740 80649\n2496 3777\n57220 85838\n36538 54954\n9350 14052\n64912 97358\n62336 93510\n14168 21335\n36796 55342\n43467 65340\n1772 2674\n31118 46860\n17541 26427\n77046 100000\n21876 32981\n7130 10706\n48584 72952\n22966 34606\n84755 100000\n74004 100000\n53253 79942\n33027 49745\n43478 65354\n58202 87302\n47622 71533\n37417 56271\n98430 100000\n10378 15613\n22996 34654\n65808 98694\n79061 100000\n89051 100000\n79962 100000\n71563 100000\n62381 93573\n17325 26105\n89989 100000\n56006 84029\n61878 92828\n26617 40098\n45378 68191\n7822 11751\n42794 64330\n19245 28990\n4652 7014\n71837 100000\n67413 100000\n16915 25475\n51542 77367\n19043 28681\n32451 48863\n56621 84939\n94748 100000\n51704 77616\n43162 64878\n37493 56386\n70377 100000\n72095 100000\n80814 100000\n76536 100000\n90913 100000\n60659 91011\n54938 82426\n43201 64942\n17343 26128\n91727 100000\n30874 46490\n22117 33344\n40466 60864\n40171 60421\n41177 61939\n87986 100000\n48180 72349\n41308 62135\n28904 43523\n89328 100000\n92611 100000\n45492 68355\n1018 1520\n97345 100000\n65386 98071\n74516 100000\n69407 100000\n88134 100000\n39434 59328\n12347 18570\n85305 100000\n55319 83009\n94724 100000\n39930 60060\n85924 100000\n92871 100000\n13594 20467\n37380 56215\n950 1419\n99967 100000\n53330 80056\n99042 100000\n16394 24698\n27570 41517\n26794 40361\n71848 100000\n72619 100000\n17099 25760\n61970 92963\n64431 96638\n81576 100000\n66264 99393\n66839 100000\n81020 100000\n98626 100000\n14726 22167\n55903 83875\n91454 100000\n29643 44645\n4469 6736\n25438 38341\n75880 100000\n99996 100000\n4078 6153\n33503 50440\n74895 100000\n75292 100000\n69910 100000\n92442 100000\n52397 78659\n53895 80874\n8408 12621\n24502 36922\n48585 72953\n82298 100000\n58822 88238\n31863 47989\n15760 23741\n91006 100000\n50630 76013\n32662 49179\n38544 57990\n49713 74648\n769 1154\n69807 100000\n5678 8524\n19104 28775\n18652 28116\n88163 100000\n87585 100000\n58403 87595\n45957 69035\n49990 75046\n16957 25539\n67939 100000\n59410 89127\n35646 53606\n10231 15393\n63448 95159\n8344 12528\n91151 100000\n15064 22684\n39461 59367\n49018 73595\n49826 74811\n11405 17165\n45210 67948\n61158 91761\n44656 67117\n19512 29391\n32521 48972\n49726 74669\n57766 86650\n25350 38204\n75628 100000\n80591 100000\n47627 71539\n16929 25500\n37458 56332\n76342 100000\n84881 100000\n34992 52640\n29197 43972\n39467 59376\n89974 100000\n50102 75219\n13572 20434\n76617 100000\n9357 14062\n56653 84987\n32026 48228\n4027 6076\n45362 68169\n22655 34128\n1441 2165\n17080 25733\n85951 100000\n22075 33282\n21215 31975\n69523 100000\n44827 67376\n83574 100000\n70278 100000\n83886 100000\n74127 100000\n79049 100000\n38509 57935\n1062 1586\n72211 100000\n51344 77061\n18492 27868\n28654 43140\n31653 47667\n96912 100000\n16563 24947\n17284 26045\n10105 15200\n7136 10717\n18161 27359\n62121 93190\n7274 10925\n34479 51890\n57094 85649\n98858 100000\n321 461\n17945 27035\n73112 100000\n92906 100000\n46881 70418\n38827 58413\n59380 89081\n40029 60214\n56628 84950\n70025 100000\n61603 92418\n90405 100000\n12184 18331\n87735 100000\n9744 14648\n85160 100000\n59054 88592\n46405 69715\n23815 35897\n94811 100000\n45580 68474\n8286 12444\n5484 8234\n18183 27396\n46920 70479\n49454 74259\n2277 3447\n26682 40194\n2773 4201\n80812 100000\n23244 35028\n15366 23155\n21703 32711\n89699 100000\n75520 100000\n42396 63745\n42084 63283\n14108 21247\n55721 83609\n35892 53980\n67921 100000\n28009 42159\n85091 100000\n93044 100000\n96418 100000\n95906 100000\n20098 30271\n51994 78054\n78708 100000\n60084 90145\n3646 5502\n36632 55102\n52081 78178\n25767 38847\n52760 79198\n61982 92982\n92304 100000\n55648 83505\n80242 100000\n61102 91680\n72611 100000\n58997 88507\n37056 55736\n21098 31796\n46151 69327\n31985 48172\n48978 73540\n11568 17409\n47480 71325\n57045 85577\n50532 75863\n20076 30237\n45592 68491\n41544 62482\n19784 29788\n68330 100000\n72756 100000\n76020 100000\n59335 89010\n49837 74826\n45043 67693\n93976 100000\n43461 65330\n7036 10561\n54376 81584\n16303 24565\n53825 80772\n91056 100000\n43826 65869\n69615 100000\n4079 6155\n3617 5460\n36079 54261\n76323 100000\n42440 63814\n8034 12068\n55712 83596\n29594 44570\n3414 5164\n2201 3335\n42837 64393\n49194 73870\n17469 26321\n3996 6028\n50786 76245\n24252 36551\n14151 21311\n43499 65387\n12132 18251\n88213 100000\n39392 59268\n18823 28365\n70212 100000\n75269 100000\n45677 68620\n69117 100000\n36456 54834\n32485 48917\n47402 71205\n79062 100000\n86541 100000\n29633 44630\n15870 23915\n29536 44480\n97813 100000\n80386 100000\n49495 74324\n49453 74257\n11757 17688\n54666 82013\n75135 100000\n1329 1991\n50368 75613\n1367 2051\n51145 76771\n67841 100000\n75888 100000\n50314 75537\n42626 64089\n23561 35515\n87118 100000\n53219 79892\n73727 100000\n42240 63511\n45795 68796\n65692 98530\n70399 100000\n17708 26685\n14858 22371\n76478 100000\n86507 100000\n2267 3433\n93403 100000\n76904 100000\n74118 100000\n37081 55771\n13884 20910\n88531 100000\n21360 32208\n13182 19856\n82467 100000\n85142 100000\n71022 100000\n12603 18962\n30544 46008\n59895 89861\n30406 45802\n45277 68043\n22942 34567\n14022 21118\n56122 84203\n84201 100000\n26193 39466\n72795 100000\n12041 18109\n60357 90556\n90449 100000\n94954 100000\n53641 80500\n50129 75264\n67875 100000\n72591 100000\n26869 40476\n24824 37426\n32160 48433\n67953 100000\n56815 85228\n66254 99381\n95481 100000\n4727 7127\n53805 80746\n28395 42752\n11421 17190\n12067 18148\n29204 43981\n31766 47840\n5625 8445\n16819 25323\n8748 13139\n49985 75040\n96847 100000\n59762 89655\n14588 21961\n60421 90651\n95947 100000\n2685 4057\n54498 81775\n87326 100000\n58632 87938\n3233 4892\n3968 5989\n10179 15312\n34959 52588\n12342 18563\n70859 100000\n67596 100000\n67815 100000\n96659 100000\n19923 30007\n91444 100000\n59511 89279\n23917 36050\n44090 66259\n64007 96005\n90064 100000\n63229 94830\n29448 44343\n84464 100000\n80203 100000\n58975 88474\n52973 79522\n50420 75693\n11391 17142\n67126 100000\n64557 96828\n90172 100000\n56024 84056\n70371 100000\n60484 90748\n39748 59797\n80407 100000\n60525 90809\n80037 100000\n61083 91644\n31772 47850\n41092 61807\n93261 100000\n41962 63105\n77253 100000\n68916 100000\n8322 12496\n64622 96923\n91706 100000\n224 322\n25733 38797\n86214 100000\n4561 6878\n62017 93035\n62428 93643\n16039 24169\n68073 100000\n82174 100000\n84460 100000\n92297 100000\n29782 44857\n54899 82366\n85365 100000\n43487 65368\n27794 41851\n85194 100000\n86440 100000\n10229 15390\n73336 100000\n83987 100000\n41318 62149\n84758 100000\n8117 12191\n65610 98413\n92057 100000\n39770 59829\n58851 88281\n49836 74824\n59512 89280\n18217 27451\n36685 55177\n46446 69775\n14112 21254\n54258 81406\n45602 68510\n17942 27030\n32011 48206\n82265 100000\n55935 83919\n62546 93818\n53752 80667\n4094 6177\n99747 100000\n9651 14509\n60944 91434\n91731 100000\n80137 100000\n81792 100000\n23965 36117\n26861 40464\n60279 90437\n25876 39010\n4233 6383\n19722 29706\n74995 100000\n40102 60320\n8252 12392\n56895 85352\n24447 36845\n63181 94761\n45820 68833\n82822 100000\n44737 67240\n56483 84734\n92859 100000\n5193 7813\n86559 100000\n66338 99505\n20044 30190\n27594 41554\n40543 60982\n76604 100000\n53922 80913\n30549 46015\n13895 20928\n42179 63424\n893 1336\n89119 100000\n91361 100000\n62203 93315\n83121 100000\n25798 38895\n27887 41991\n93094 100000\n299 433\n80343 100000\n8654 12993\n51523 77335\n62582 93870\n91588 100000\n18445 27797\n44437 66782\n75653 100000\n15853 23894\n62732 94087\n12136 18258\n75586 100000\n21830 32908\n30340 45708\n12746 19188\n25619 38618\n79836 100000\n32413 48808\n34136 51386\n3884 5856\n99270 100000\n40287 60594\n75824 100000\n59516 89286\n18683 28161\n8958 13460\n2835 4300\n49992 75049\n84513 100000\n30314 45669\n78889 100000\n34213 51498\n10189 15328\n58449 87662\n10250 15419\n96340 100000\n78329 100000\n29523 44461\n58558 87822\n77885 100000\n85048 100000\n28404 42765\n33744 50804\n91175 100000\n64680 97009\n29904 45043\n56069 84124\n15967 24057\n80862 100000\n78983 100000\n77399 100000\n25248 38052\n38898 58520\n55794 83712\n99638 100000\n95195 100000\n48306 72539\n63857 95788\n15249 22963\n11361 17097\n19550 29444\n25520 38467\n10240 15406\n18460 27821\n81256 100000\n36174 54402\n60228 90364\n61176 91787\n66293 99441\n10065 15143\n61741 92624\n79403 100000\n83917 100000\n95855 100000\n1855 2802\n95215 100000\n57575 86357\n5470 8214\n56480 84729\n31840 47953\n29471 44379\n68699 100000\n7442 11187\n15899 23958\n96117 100000\n25400 38281\n32333 48697\n10689 16078\n86588 100000\n28443 42824\n45292 68065\n56455 84692\n54773 82173\n44303 66578\n48931 73467\n88012 100000\n61280 91944\n71362 100000\n5044 7592\n41207 61987\n68834 100000\n91300 100000\n10262 15438\n8703 13069\n26829 40413\n80680 100000\n32688 49215\n69940 100000\n33432 50332\n89493 100000\n49642 74546\n92270 100000\n12676 19080\n88549 100000\n74986 100000\n31697 47738\n50628 76010\n57299 85967\n81779 100000\n6076 9123\n585 872\n36298 54594\n56593 84898\n42452 63833\n85556 100000\n10802 16247\n97793 100000\n63858 95789\n16557 24938\n14823 22316\n1463 2202\n14806 22289\n18061 27210\n67858 100000\n36698 55196\n70959 100000\n9642 14494\n9431 14177\n95166 100000\n51085 76682\n9050 13597\n91049 100000\n46514 69877\n27360 41201\n28998 43665\n12329 18545\n32670 49189\n64768 97143\n80905 100000\n1344 2015\n91779 100000\n60984 91498\n70951 100000\n72440 100000\n87613 100000\n29230 44017\n85218 100000\n88788 100000\n41515 62439\n93249 100000\n26025 39216\n96238 100000\n27693 41702\n31133 46883\n40119 60342\n1294 1941\n84918 100000\n68882 100000\n81489 100000\n55079 82639\n94906 100000\n10982 16532\n16333 24612\n56997 85505\n87945 100000\n86668 100000\n73644 100000\n83449 100000\n39847 59943\n20686 31158\n89719 100000\n23936 36074\n70009 100000\n30132 45400\n60345 90537\n81669 100000\n31958 48129\n34895 52497\n24482 36893\n12150 18283\n49548 74406\n64863 97285\n3560 5375\n82312 100000\n42246 63519\n17209 25935\n41465 62366\n42063 63254\n4550 6862\n12621 18990\n32932 49588\n15882 23933\n81711 100000\n23634 35622\n35958 54080\n44583 67004\n64910 97355\n49894 74912\n67621 100000\n12009 18059\n3932 5932\n98363 100000\n27586 41541\n52805 79268\n52868 79361\n89681 100000\n95242 100000\n71311 100000\n78951 100000\n60100 90169\n48102 72237\n64633 96937\n64457 96678\n3030 4584\n54423 81654\n76404 100000\n69591 100000\n32851 49461\n34754 52294\n25838 38953\n74311 100000\n59001 88511\n83125 100000\n41799 62857\n35147 52875\n2943 4453\n35919 54024\n33523 50465\n40080 60287\n45038 67685\n39124 58860\n58363 87542\n80378 100000\n59916 89894\n68237 100000\n22812 34365\n6328 9507\n81248 100000\n7907 11883\n91422 100000\n69953 100000\n17667 26622\n67528 100000\n12460 18742\n54076 81134\n48268 72482\n27896 42006\n74740 100000\n77860 100000\n31100 46831\n57897 86848\n64654 96969\n20003 30128\n7166 10768\n39168 58927\n56257 84403\n69777 100000\n64047 96065\n22340 33670\n46543 69918\n11417 17183\n49672 74591\n23989 36160\n87980 100000\n2917 4419\n8918 13396\n84360 100000\n41961 63104\n38596 58063\n66170 99255\n70586 100000\n16357 24647\n60385 90598\n63886 95829\n3675 5546\n58090 87140\n77027 100000\n39665 59676\n10725 16133\n96147 100000\n90002 100000\n98454 100000\n23378 35232\n78925 100000\n98639 100000\n26710 40235\n2518 3811\n82798 100000\n61488 92251\n69587 100000\n5070 7632\n29839 44948\n29397 44268\n29263 44065\n21187 31935\n40458 60851\n96762 100000\n47277 71019\n84617 100000\n88234 100000\n14652 22061\n95156 100000\n28307 42625\n83781 100000\n96957 100000\n74974 100000\n32674 49195\n48488 72813\n1531 2298\n8881 13344\n96882 100000\n17090 25747\n21797 32857\n50452 75739\n1543 2316\n75641 100000\n95374 100000\n69718 100000\n46544 69919\n2807 4258\n76964 100000\n85067 100000\n6423 9642\n64393 96582\n16348 24634\n39846 59941\n91274 100000\n19091 28754\n95430 100000\n61236 91876\n28184 42442\n94932 100000\n93197 100000\n46912 70464\n1059 1581\n7405 11126\n13548 20397\n56524 84796\n25527 38477\n33464 50380\n52325 78550\n14843 22345\n86510 100000\n94555 100000\n54323 81502\n30692 46234\n17681 26642\n45342 68142\n24606 37079\n66653 99968\n80170 100000\n15943 24025\n47440 71262\n75598 100000\n52247 78431\n59780 89683\n51029 76600\n88125 100000\n68713 100000\n67998 100000\n25904 39051\n26321 39653\n72225 100000\n63762 95644\n24369 36728\n4881 7360\n59225 88842\n46449 69779\n19265 29021\n96525 100000\n2631 3979\n8230 12361\n69477 100000\n98842 100000\n63297 94937\n9820 14766\n7913 11891\n278 402\n19981 30096\n6456 9699\n11847 17824\n2312 3499\n42933 64539\n42780 64310\n51793 77752\n59223 88838\n4117 6212\n62439 93660\n50911 76433\n96373 100000\n77746 100000\n16518 24885\n60749 91156\n15977 24073\n72146 100000\n45469 68321\n61035 91573\n17510 26380\n85542 100000\n97969 100000\n88886 100000\n69876 100000\n85043 100000\n31694 47734\n8001 12019\n98984 100000\n89994 100000\n14674 22092\n6149 9233\n84854 100000\n89818 100000\n62369 93556\n40172 60422\n7581 11390\n81934 100000\n48024 72128\n43968 66083\n97468 100000\n33052 49778\n10883 16369\n56906 85365\n35946 54062\n2405 3634\n42490 63887\n37522 56426\n48735 73179\n81091 100000\n6542 9820\n46318 69584\n65321 97971\n59697 89553\n48213 72402\n7315 10989\n97428 100000\n20182 30392\n98913 100000\n20636 31080\n45982 69074\n81296 100000\n17823 26855\n27406 41267\n618 924\n49641 74545\n82878 100000\n45705 68661\n45188 67913\n41790 62845\n32730 49275\n49675 74595\n61344 92041\n53544 80358\n81134 100000\n66943 100000\n42534 63952\n4241 6395\n52725 79146\n42361 63692\n46959 70542\n83421 100000\n65021 97522\n15927 24002\n8389 12591\n78524 100000\n59425 89149\n40376 60727\n42300 63600\n30336 45703\n78200 100000\n27837 41914\n86780 100000\n64378 96557\n65706 98552\n97563 100000\n81424 100000\n4750 7166\n87741 100000\n71873 100000\n67031 100000\n1895 2855\n83470 100000\n30638 46150\n45814 68825\n59930 89913\n28587 43041\n47035 70664\n63986 95974\n54356 81557\n76167 100000\n63217 94812\n65503 98258\n83534 100000\n12237 18410\n36779 55317\n36247 54514\n34482 51894\n94973 100000\n75234 100000\n53407 80168\n84823 100000\n19546 29439\n21549 32489\n44464 66821\n7789 11699\n861 1286\n78695 100000\n39940 60075\n90712 100000\n84593 100000\n82962 100000\n75298 100000\n43635 65592\n2368 3581\n53349 80085\n11481 17281\n68577 100000\n296 429\n35437 53309\n62860 94271\n67095 100000\n77294 100000\n89316 100000\n47410 71216\n41661 62654\n83312 100000\n33665 50685\n59099 88662\n15337 23105\n50228 75409\n40367 60715\n32125 48378\n31123 46869\n5421 8140\n52162 78305\n92426 100000\n42308 63612\n53362 80102\n51288 76983\n83532 100000\n70721 100000\n61804 92717\n4337 6542\n5120 7702\n23242 35024\n38841 58436\n91822 100000\n82289 100000\n64087 96126\n4073 6147\n16944 25521\n9209 13836\n94242 100000\n52235 78415\n7290 10950\n71647 100000\n33197 49989\n53876 80847\n56809 85217\n76755 100000\n80319 100000\n81597 100000\n29896 45028\n3680 5553\n72671 100000\n27551 41490\n86787 100000\n83941 100000\n91240 100000\n99763 100000\n60662 91015\n95981 100000\n85400 100000\n28465 42858\n64609 96904\n88540 100000\n47736 71695\n35534 53444\n6187 9292\n18770 28284\n8597 12908\n10587 15918\n71560 100000\n62171 93268\n12474 18764\n28032 42199\n27024 40706\n45275 68040\n58292 87433\n94135 100000\n57702 86547\n14856 22368\n61678 92534\n70780 100000\n93402 100000\n56982 85482\n46159 69341\n62541 93809\n79942 100000\n69195 100000\n18097 27265\n25659 38683\n99524 100000\n78701 100000\n70146 100000\n18160 27357\n97591 100000\n70431 100000\n30383 45771\n38593 58060\n93934 100000\n19575 29481\n11209 16866\n99211 100000\n5579 8374\n4399 6632\n37144 55865\n23122 34848\n85369 100000\n45385 68202\n86545 100000\n54288 81452\n86764 100000\n68232 100000\n64206 96303\n17531 26410\n74312 100000\n90353 100000\n86360 100000\n78538 100000\n57002 85513\n14849 22355\n15067 22689\n73499 100000\n45158 67870\n59504 89267\n84867 100000\n21469 32368\n20516 30896\n2752 4165\n97778 100000\n43585 65515\n65286 97921\n19220 28952\n30064 45291\n90610 100000\n14165 21332\n1540 2312\n44019 66161\n72463 100000\n35880 53962\n2698 4078\n6674 10020\n68024 100000\n80082 100000\n3294 4985\n71123 100000\n84081 100000\n87657 100000\n33526 50471\n45375 68188\n80485 100000\n64974 97447\n46044 69165\n69597 100000\n20184 30396\n45227 67971\n36608 55071\n67480 100000\n72771 100000\n98211 100000\n33931 51090\n60818 91256\n93295 100000\n12622 18991\n41352 62198\n92979 100000\n32304 48653\n44638 67087\n37599 56543\n30253 45585\n46928 70491\n19206 28929\n86596 100000\n17620 26551\n69787 100000\n6374 9570\n12723 19151\n48390 72665\n31692 47730\n47030 70657\n88100 100000\n76411 100000\n38000 57160\n85165 100000\n42053 63239\n59219 88832\n36185 54419\n66331 99494\n13202 19884\n40053 60248\n47285 71032\n28448 42832\n22044 33233\n55662 83526\n78136 100000\n68594 100000\n61098 91672\n36774 55311\n69014 100000\n93156 100000\n37965 57107\n77729 100000\n64199 96291\n89735 100000\n83942 100000\n9567 14384\n75459 100000\n32972 49653\n45097 67777\n91600 100000\n90827 100000\n25256 38062\n33543 50498\n2314 3501\n10855 16325\n5059 7613\n135 197\n59656 89492\n55206 82837\n63462 95180\n17115 25786\n8269 12417\n89851 100000\n23654 35652\n22573 34010\n73106 100000\n17346 26133\n45610 68525\n50474 75771\n20383 30688\n73810 100000\n12111 18218\n8164 12267\n70068 100000\n37479 56366\n54664 82010\n62446 93669\n82145 100000\n8551 12837\n89336 100000\n79392 100000\n34240 51536\n37273 56057\n75065 100000\n95391 100000\n66954 100000\n83016 100000\n70241 100000\n90197 100000\n7196 10812\n95757 100000\n86843 100000\n55723 83612\n53010 79581\n9280 13944\n61697 92561\n2882 4370\n72685 100000\n34511 51937\n77689 100000\n87745 100000\n2617 3960\n53244 79930\n21007 31659\n85494 100000\n60879 91341\n11125 16745\n79356 100000\n32188 48478\n38302 57632\n24230 36519\n24248 36544\n87432 100000\n55354 83067\n56696 85056\n80538 100000\n24938 37594\n36326 54638\n38591 58057\n74586 100000\n24973 37644\n68679 100000\n96098 100000\n83742 100000\n45986 69080\n57827 86740\n33320 50172\n80938 100000\n95211 100000\n83870 100000\n87569 100000\n9414 14149\n28368 42712\n64491 96728\n10511 15805\n34691 52205\n99475 100000\n25828 38941\n62475 93711\n89505 100000\n28890 43501\n34436 51828\n40936 61566\n75270 100000\n88991 100000\n16076 24224\n52332 78562\n79427 100000\n41970 63117\n88336 100000\n37498 56394\n90677 100000\n53926 80919\n36087 54273\n52172 78320\n92881 100000\n83236 100000\n36709 55211\n67512 100000\n79587 100000\n33789 50873\n92707 100000\n89359 100000\n55516 83308\n69183 100000\n78229 100000\n89416 100000\n14209 21391\n67664 100000\n10088 15176\n99277 100000\n93140 100000\n39950 60089\n20501 30873\n51872 77872\n74476 100000\n71655 100000\n22582 34020\n15426 23240\n57891 86838\n13961 21022\n52326 78551\n73780 100000\n82032 100000\n93872 100000\n74787 100000\n31600 47591\n68630 100000\n87700 100000\n6126 9199\n88188 100000\n88731 100000\n43969 66085\n31124 46870\n47671 71603\n41413 62290\n96276 100000\n78774 100000\n17045 25679\n49656 74567\n77338 100000\n37670 56648\n37811 56874\n10608 15947\n71443 100000\n59453 89192\n93750 100000\n92557 100000\n52709 79122\n65566 98346\n49674 74594\n26523 39957\n92062 100000\n51219 76882\n66175 99263\n97750 100000\n29525 44464\n11506 17315\n41642 62626\n27145 40881\n24988 37665\n36375 54711\n37964 57105\n15472 23309\n28846 43438\n255 361\n75063 100000\n38348 57700\n79168 100000\n92767 100000\n32910 49555\n81503 100000\n52740 79168\n41317 62147\n31051 46757\n49784 74751\n1035 1546\n28503 42913\n34791 52345\n13640 20534\n66428 99638\n47783 71771\n51031 76603\n54194 81312\n13388 20164\n54970 82474\n84217 100000\n33372 50243\n58797 88200\n16208 24422\n3820 5755\n38553 58004\n22111 33334\n31735 47793\n48027 72133\n38818 58399\n13396 20174\n18246 27494\n50435 75714\n14816 22307\n81399 100000\n42905 64498\n98554 100000\n8699 13063\n76453 100000\n31261 47077\n42133 63358\n25953 39118\n2676 4043\n87878 100000\n71041 100000\n7731 11616\n42409 63766\n70697 100000\n98341 100000\n29412 44287\n66624 99927\n38721 58244\n97863 100000\n75959 100000\n1871 2821\n99212 100000\n98758 100000\n79410 100000\n48218 72411\n84059 100000\n4868 7339\n7364 11064\n91181 100000\n95994 100000\n53180 79835\n74772 100000\n86003 100000\n7149 10740\n3021 4568\n85899 100000\n46694 70142\n50204 75374\n69076 100000\n9117 13701\n43360 65186\n56290 84448\n5652 8485\n27378 41227\n63975 95958\n72412 100000\n57817 86726\n62250 93383\n79206 100000\n46452 69783\n71604 100000\n64707 97048\n77094 100000\n88798 100000\n24900 37542\n43963 66074\n68009 100000\n1395 2095\n56760 85147\n26479 39896\n28140 42371\n93055 100000\n47721 71674\n31578 47561\n81190 100000\n16863 25393\n4396 6627\n45553 68440\n81430 100000\n33794 50881\n11189 16835\n46149 69324\n71778 100000\n10364 15591\n30704 46251\n41749 62784\n53059 79654\n3156 4772\n22910 34518\n97488 100000\n93773 100000\n87241 100000\n69420 100000\n84350 100000\n57586 86373\n4199 6334\n1718 2588\n53784 80709\n49664 74578\n17207 25932\n19563 29464\n94243 100000\n86865 100000\n78500 100000\n63519 95266\n34729 52259\n50325 75555\n66079 99107\n31966 48140\n80431 100000\n22228 33507\n23778 35841\n2067 3123\n42479 63872\n92327 100000\n25815 38919\n84211 100000\n79070 100000\n84511 100000\n22405 33766\n48805 73281\n56210 84336\n65688 98525\n19009 28636\n74958 100000\n98628 100000\n82471 100000\n84668 100000\n10770 16196\n18716 28210\n19802 29815\n88721 100000\n6193 9301\n2948 4460\n58676 88002\n67956 100000\n21817 32886\n98564 100000\n25124 37868\n75380 100000\n40533 60964\n90193 100000\n23023 34697\n40279 60580\n91728 100000\n7751 11647\n94293 100000\n64039 96055\n72895 100000\n11538 17367\n44499 66877\n18920 28504\n98945 100000\n48381 72651\n57857 86784\n54354 81553\n88541 100000\n70918 100000\n36803 55352\n79740 100000\n44882 67456\n94786 100000\n80553 100000\n79016 100000\n38667 58166\n2198 3330\n87654 100000\n11984 18022\n57294 85957\n90567 100000\n36236 54495\n53569 80394\n54389 81602\n85271 100000\n58264 87395\n54012 81045\n48683 73099\n86548 100000\n21465 32363\n1643 2474\n62989 94463\n41728 62752\n81940 100000\n62188 93295\n23183 34941\n74689 100000\n30963 46626\n4324 6521\n23722 35755\n61315 91999\n69214 100000\n4238 6389\n59917 89896\n88975 100000\n78689 100000\n63840 95765\n28344 42674\n92980 100000\n7225 10853\n22203 33469\n40872 61475\n35449 53328\n79087 100000\n55278 82948\n41965 63109\n93073 100000\n53324 80046\n59716 89585\n90710 100000\n7073 10619\n27384 41236\n92513 100000\n85050 100000\n68637 100000\n58465 87685\n42028 63199\n60170 90281\n448 664\n74115 100000\n9395 14121\n26758 40306\n21740 32765\n66594 99883\n8363 12553\n71956 100000\n80691 100000\n70113 100000\n89897 100000\n64190 96274\n7849 11792\n60974 91482\n76191 100000\n94401 100000\n34237 51530\n62073 93117\n87162 100000\n23472 35374\n89378 100000\n7670 11527\n88301 100000\n13150 19814\n47002 70609\n70 102\n52384 78638\n75013 100000\n46479 69823\n36544 54964\n24121 36355\n52658 79048\n56499 84758\n70381 100000\n14252 21450\n72099 100000\n16025 24146\n11948 17969\n11715 17629\n69443 100000\n25370 38235\n28290 42598\n53411 80172\n7911 11889\n35494 53391\n13958 21016\n87963 100000\n43266 65041\n13931 20979\n74387 100000\n83364 100000\n94035 100000\n98729 100000\n64092 96132\n65873 98791\n22499 33903\n24768 37332\n29864 44985\n65330 97984\n81120 100000\n354 514\n8497 12760\n60003 90020\n95330 100000\n27956 42087\n59876 89832\n85889 100000\n60591 90909\n69307 100000\n40529 60959\n46838 70355\n50785 76243\n93245 100000\n17431 26259\n43888 65957\n79479 100000\n98378 100000\n27856 41941\n17892 26955\n62184 93289\n34494 51914\n23644 35637\n79028 100000\n72326 100000\n31225 47025\n82531 100000\n36300 54596\n97550 100000\n26745 40289\n90069 100000\n64631 96935\n99170 100000\n87131 100000\n38795 58364\n14948 22511\n79460 100000\n19803 29816\n4950 7461\n6912 10373\n94712 100000\n97291 100000\n42014 63180\n81331 100000\n40516 60936\n27055 40746\n78521 100000\n2474 3739\n90134 100000\n98250 100000\n28099 42309\n3631 5482\n14910 22452\n8829 13266\n6432 9658\n16677 25121\n45094 67773\n15331 23095\n80830 100000\n93090 100000\n51036 76610\n10201 15347\n96845 100000\n97534 100000\n18048 27192\n31926 48082\n29346 44193\n79131 100000\n40823 61397\n86970 100000\n84924 100000\n6908 10368\n47235 70958\n11685 17585\n92840 100000\n42247 63520\n22371 33716\n53381 80126\n97726 100000\n47310 71070\n44624 67065\n87037 100000\n63024 94514\n15058 22674\n22941 34565\n25144 37894\n57168 85760\n6557 9841\n62509 93757\n56001 84019\n11115 16731\n69747 100000\n96766 100000\n95319 100000\n33835 50942\n65222 97829\n26401 39777\n27155 40896\n19443 29282\n49137 73779\n69199 100000\n20639 31084\n68555 100000\n88817 100000\n7615 11442\n90993 100000\n68786 100000\n94729 100000\n46096 69243\n97500 100000\n75332 100000\n72923 100000\n40173 60424\n42746 64262\n24619 37097\n91458 100000\n29042 43735\n46636 70057\n6967 10458\n70602 100000\n47561 71444\n9872 14838\n64649 96963\n90643 100000\n54728 82101\n34567 52016\n86 128\n92632 100000\n91180 100000\n69818 100000\n88489 100000\n33268 50095\n74438 100000\n28409 42774\n26423 39810\n41136 61879\n3051 4615\n10193 15334\n25553 38515\n52269 78463\n24285 36602\n34022 51219\n17091 25748\n48555 72915\n59888 89850\n68334 100000\n22468 33857\n34908 52516\n94080 100000\n26388 39756\n22425 33795\n21340 32176\n58170 87257\n92531 100000\n22224 33500\n83420 100000\n89650 100000\n71716 100000\n63306 94950\n60938 91426\n59607 89421\n72267 100000\n83684 100000\n30540 46001\n79802 100000\n83820 100000\n84072 100000\n34185 51459\n47265 71003\n6602 9906\n36802 55351\n8110 12183\n60502 90773\n86762 100000\n40403 60768\n2088 3156\n50197 75366\n91026 100000\n14312 21537\n95761 100000\n49660 74573\n74261 100000\n14453 21756\n44306 66582\n40926 61549\n63377 95052\n62445 93667\n38 52\n26492 39916\n43702 65683\n39865 59971\n83573 100000\n95831 100000\n38605 58077\n76966 100000\n82170 100000\n44860 67423\n806 1206\n40045 60235\n30312 45667\n31588 47574\n31474 47405\n81318 100000\n11270 16959\n32492 48929\n73990 100000\n61414 92145\n28104 42316\n85350 100000\n94966 100000\n46772 70259\n96801 100000\n55703 83585\n93852 100000\n44749 67261\n93926 100000\n96243 100000\n66750 100000\n31158 46922\n99318 100000\n89333 100000\n7471 11232\n31184 46966\n28253 42541\n16271 24520\n48321 72561\n52953 79492\n98686 100000\n60040 90075\n89082 100000\n400 588\n39680 59698\n62893 94321\n47308 71067\n9725 14618\n45026 67668\n38825 58410\n28843 43434\n82458 100000\n40363 60709\n65606 98406\n7604 11425\n61826 92748\n1573 2362\n44374 66690\n52850 79335\n85035 100000\n33898 51039\n71072 100000\n75556 100000\n86999 100000\n19587 29499\n85929 100000\n55545 83350\n37183 55924\n75720 100000\n55593 83427\n25052 37761\n55972 83975\n8872 13328\n58555 87819\n35078 52769\n46362 69650\n60338 90528\n5871 8824\n60161 90265\n88735 100000\n46267 69506\n28336 42661\n71869 100000\n392 575\n54085 81149\n53568 80393\n26456 39863\n2038 3079\n91511 100000\n45335 68131\n54004 81036\n79612 100000\n73204 100000\n68286 100000\n87413 100000\n215 311\n34021 51218\n1013 1513\n92303 100000\n68126 100000\n20743 31254\n3507 5299\n78165 100000\n29316 44147\n70423 100000\n78113 100000\n15422 23236\n99677 100000\n8536 12814\n74815 100000\n10852 16320\n35366 53199\n18490 27866\n47485 71332\n84810 100000\n49052 73649\n45518 68391\n23930 36066\n45017 67652\n24417 36799\n49158 73813\n2560 3872\n73661 100000\n4166 6285\n77366 100000\n14332 21566\n23253 35043\n15969 24060\n47016 70634\n60703 91081\n10683 16068\n33364 50234\n65892 98821\n70102 100000\n83559 100000\n50146 75292\n36323 54634\n40088 60297\n97994 100000\n92431 100000\n3602 5437\n53405 80165\n65505 98261\n72380 100000\n32593 49082\n42443 63819\n45480 68338\n30103 45355\n90877 100000\n85246 100000\n19379 29189\n96235 100000\n66142 99211\n81406 100000\n40244 60522\n84129 100000\n76714 100000\n83878 100000\n54844 82279\n94034 100000\n42051 63236\n40920 61541\n52101 78208\n56017 84047\n61604 92419\n96652 100000\n41944 63075\n6832 10256\n2883 4372\n69455 100000\n57331 86014\n59536 89317\n85810 100000\n33726 50779\n57708 86559\n12113 18220\n56697 85057\n14180 21350\n6667 10007\n84677 100000\n74608 100000\n11198 16850\n53757 80672\n55871 83824\n56423 84646\n91842 100000\n73233 100000\n71849 100000\n63611 95417\n93582 100000\n53484 80271\n371 541\n3217 4869\n13888 20916\n21942 33082\n24980 37654\n87620 100000\n22760 34290\n58718 88071\n28793 43359\n64395 96584\n9532 14331\n38502 57924\n28732 43262\n29354 44205\n38636 58120\n16420 24736\n93404 100000\n26534 39974\n45714 68676\n143 208\n989 1479\n77914 100000\n63184 94765\n25328 38168\n96717 100000\n84485 100000\n13166 19834\n27313 41134\n94050 100000\n35504 53406\n35815 53867\n66447 99666\n76451 100000\n73095 100000\n10207 15355\n40007 60178\n86400 100000\n77340 100000\n74473 100000\n90495 100000\n1969 2971\n59317 88982\n95558 100000\n45205 67940\n67030 100000\n89444 100000\n74038 100000\n61221 91856\n23615 35594\n51678 77576\n91373 100000\n37763 56797\n24825 37428\n98947 100000\n28387 42741\n30716 46269\n65411 98109\n35368 53202\n57676 86505\n83782 100000\n96830 100000\n73296 100000\n25945 39108\n15858 23900\n68764 100000\n3970 5992\n15290 23027\n97171 100000\n89978 100000\n1720 2591\n24533 36964\n39757 59809\n57332 86015\n28881 43486\n48895 73410\n64930 97384\n51857 77852\n79601 100000\n48279 72497\n78041 100000\n34632 52115\n51960 78000\n76823 100000\n1372 2060\n82177 100000\n59129 88703\n2575 3898\n92294 100000\n46542 69916\n27309 41128\n14343 21583\n25649 38666\n71662 100000\n55227 82866\n28661 43150\n69026 100000\n51654 77538\n65819 98711\n77530 100000\n56040 84078\n72748 100000\n25200 37976\n80677 100000\n93723 100000\n86312 100000\n22995 34653\n53056 79649\n98764 100000\n76203 100000\n12549 18880\n41526 62456\n54484 81752\n23199 34964\n46135 69305\n28402 42762\n69070 100000\n5192 7811\n18668 28140\n71852 100000\n34497 51917\n26021 39210\n74832 100000\n72673 100000\n96114 100000\n70532 100000\n57465 86206\n79924 100000\n7764 11664\n41584 62537\n81089 100000\n18859 28415\n47557 71439\n11380 17124\n99408 100000\n58719 88073\n80841 100000\n74857 100000\n75465 100000\n92549 100000\n53991 81018\n60676 91035\n21790 32848\n16127 24306\n23364 35210\n2527 3824\n30428 45836\n49928 74959\n7679 11541\n26580 40044\n5154 7755\n11128 16751\n78531 100000\n29061 43764\n42813 64357\n13626 20513\n85988 100000\n32649 49162\n88749 100000\n67347 100000\n25018 37705\n19276 29039\n47069 70714\n93537 100000\n50702 76118\n78551 100000\n72977 100000\n92534 100000\n84498 100000\n27598 41560\n33713 50760\n78809 100000\n84800 100000\n70818 100000\n93018 100000\n14242 21438\n48493 72820\n3633 5485\n17943 27032\n64384 96567\n24374 36735\n5820 8742\n87880 100000\n7527 11310\n53075 79680\n94541 100000\n63346 95009\n3611 5450\n55853 83800\n93349 100000\n62459 93685\n45127 67822\n15270 22997\n65652 98475\n59779 89682\n28287 42593\n29227 44013\n24508 36931\n37209 55962\n46822 70331\n25789 38881\n73220 100000\n51959 77999\n30430 45838\n51014 76579\n11500 17306\n70647 100000\n43788 65812\n77057 100000\n59659 89496\n1289 1935\n79360 100000\n57953 86937\n82101 100000\n49731 74675\n62865 94279\n56649 84980\n45201 67934\n79896 100000\n42318 63627\n32134 48393\n34443 51839\n53165 79815\n13228 19924\n32695 49226\n32215 48520\n43557 65477\n48510 72848\n9699 14578\n90289 100000\n55367 83087\n88510 100000\n6146 9228\n74254 100000\n64028 96040\n62835 94239\n71060 100000\n29145 43887\n20413 30738\n55009 82534\n6275 9425\n91016 100000\n75946 100000\n24181 36445\n59295 88953\n54743 82125\n31695 47735\n54022 81062\n2415 3647\n36911 55513\n17772 26777\n61439 92181\n89667 100000\n94288 100000\n43329 65136\n67794 100000\n68616 100000\n21661 32657\n59253 88885\n37709 56710\n32931 49587\n26763 40315\n41910 63024\n91081 100000\n54109 81180\n95836 100000\n39894 60014\n92679 100000\n77459 100000\n18129 27311\n11102 16711\n13410 20197\n96103 100000\n72301 100000\n68432 100000\n63844 95771\n35927 54036\n94134 100000\n83665 100000\n23348 35186\n34318 51659\n27119 40844\n98744 100000\n54308 81478\n89118 100000\n42963 64582\n1955 2951\n90165 100000\n10258 15432\n62961 94423\n22512 33920\n41608 62575\n97352 100000\n86043 100000\n52449 78737\n76606 100000\n83436 100000\n9695 14572\n30188 45485\n8845 13288\n47106 70774\n17197 25915\n29453 44349\n4861 7329\n92090 100000\n69701 100000\n78310 100000\n4185 6314\n50385 75639\n68495 100000\n88486 100000\n67313 100000\n85192 100000\n10984 16534\n839 1255\n47705 71652\n55916 83891\n5183 7797\n42689 64180\n32483 48914\n22198 33461\n35191 52944\n15547 23425\n30557 46028\n4789 7221\n28871 43472\n64387 96573\n99262 100000\n31903 48049\n28510 42924\n29529 44469\n9644 14497\n72065 100000\n2576 3899\n57156 85743\n93366 100000\n32200 48497\n65184 97772\n50590 75948\n27482 41384\n5483 8233\n51744 77679\n79416 100000\n60647 90994\n91771 100000\n71076 100000\n49225 73919\n21137 31857\n9452 14209\n99642 100000\n86647 100000\n16616 25025\n492 726\n88400 100000\n50503 75813\n87201 100000\n37981 57132\n19599 29519\n2837 4302\n68532 100000\n84474 100000\n71734 100000\n75233 100000\n4679 7056\n80016 100000\n41161 61918\n1 2\n40989 61649\n97920 100000\n91408 100000\n47849 71868\n84421 100000\n54331 81514\n69909 100000\n12756 19203\n37234 56001\n67067 100000\n96138 100000\n37744 56768\n9777 14698\n15469 23303\n89064 100000\n22849 34423\n78991 100000\n81736 100000\n49406 74188\n74587 100000\n84772 100000\n87099 100000\n85753 100000\n26472 39887\n65627 98440\n63834 95754\n87294 100000\n17150 25840\n38178 57440\n71746 100000\n47084 70740\n40758 61303\n58165 87248\n33730 50783\n74542 100000\n3548 5356\n78286 100000\n86587 100000\n98559 100000\n13002 19585\n76901 100000\n38122 57354\n30421 45826\n39577 59540\n24134 36377\n13933 20983\n7651 11495\n16512 24874\n53612 80454\n55197 82820\n55312 82998\n91964 100000\n63956 95928\n15823 23845\n38967 58620\n96877 100000\n55370 83093\n35270 53056\n30580 46063\n94208 100000\n2093 3164\n94885 100000\n89964 100000\n82804 100000\n4251 6409\n94771 100000\n6301 9466\n49119 73750\n64350 96516\n18582 28010\n56209 84334\n68662 100000\n4303 6486\n88693 100000\n90665 100000\n89767 100000\n24514 36940\n7794 11708\n98897 100000\n91439 100000\n63063 94578\n62756 94123\n96816 100000\n85909 100000\n80171 100000\n57515 86276\n17873 26925\n58003 87009\n44083 66251\n5391 8094\n13295 20025\n55885 83844\n94668 100000\n82630 100000\n78767 100000\n65741 98600\n47594 71493\n8655 12994\n67018 100000\n97425 100000\n54160 81261\n24680 37191\n7893 11860\n5345 8028\n55954 83948\n51888 77894\n93867 100000\n75608 100000\n96403 100000\n4398 6630\n89709 100000\n60447 90689\n91776 100000\n81848 100000\n86425 100000\n52237 78418\n23622 35603\n40214 60481\n83713 100000\n92408 100000\n96931 100000\n55061 82613\n7191 10805\n68314 100000\n34502 51926\n18685 28163\n45736 68706\n4200 6336\n51577 77417\n13769 20734\n80665 100000\n29923 45070\n39514 59447\n51758 77700\n60930 91414\n44942 67538\n20214 30441\n78489 100000\n26609 40085\n36436 54804\n79065 100000\n92162 100000\n17093 25750\n65699 98541\n74442 100000\n32214 48518\n55113 82693\n54163 81265\n2126 3218\n96343 100000\n17390 26195\n23314 35135\n62254 93391\n26364 39718\n54589 81906\n63512 95253\n79938 100000\n13995 21072\n83253 100000\n7917 11897\n86550 100000\n88171 100000\n86469 100000\n77206 100000\n30684 46221\n50353 75593\n32908 49552\n18470 27836\n67071 100000\n28096 42305\n22726 34239\n23649 35644\n6350 9534\n10092 15182\n12607 18968\n10987 16538\n9459 14218\n43769 65779\n2343 3540\n4369 6587\n59210 88820\n38398 57773\n43139 64846\n94376 100000\n47131 70809\n37648 56617\n95674 100000\n13919 20961\n86982 100000\n50497 75804\n44762 67280\n94235 100000\n52583 78947\n193 280\n61024 91557\n13948 21002\n14160 21324\n31374 47251\n14511 21846\n32012 48207\n20535 30921\n12737 19172\n44438 66784\n54353 81551\n60637 90980\n75421 100000\n17062 25704\n12647 19032\n81015 100000\n18367 27680\n35188 52939\n42406 63761\n23400 35260\n72687 100000\n12018 18073\n67538 100000\n4635 6990\n26737 40277\n94687 100000\n16911 25468\n46736 70206\n2944 4454\n89656 100000\n70599 100000\n37996 57154\n50597 75961\n93707 100000\n16265 24511\n93904 100000\n32550 49017\n66663 99986\n14506 21840\n64556 96826\n60294 90457\n46985 70583\n2019 3051\n46825 70336\n7928 11914\n45230 67976\n85599 100000\n66058 99075\n46211 69418\n1735 2613\n1952 2947\n96545 100000\n94405 100000\n94667 100000\n78938 100000\n52767 79212\n22514 33924\n45707 68664\n71562 100000\n79495 100000\n76647 100000\n71054 100000\n21069 31752\n50298 75516\n5843 8780\n86261 100000\n4918 7416\n57069 85611\n91534 100000\n23952 36098\n29275 44086\n66841 100000\n56189 84304\n830 1242\n31248 47057\n55143 82738\n10670 16047\n97121 100000\n6983 10482\n10 13\n31017 46705\n76102 100000\n51533 77352\n20918 31520\n6073 9118\n57390 86098\n27423 41296\n92624 100000\n65452 98177\n13623 20508\n76566 100000\n47185 70886\n33101 49855\n19742 29736\n74518 100000\n5799 8707\n79813 100000\n3276 4960\n33694 50729\n26002 39182\n30377 45761\n79964 100000\n94570 100000\n67932 100000\n44358 66666\n8942 13434\n75223 100000\n23466 35364\n84733 100000\n7421 11152\n46750 70230\n78982 100000\n59194 88799\n17693 26663\n1754 2644\n50049 75137\n11686 17587\n36836 55401\n93818 100000\n70428 100000\n50060 75155\n79249 100000\n32568 49046\n95739 100000\n90532 100000\n50329 75561\n67569 100000\n91340 100000\n20203 30425\n23969 36123\n31150 46911\n83323 100000\n98960 100000\n20954 31572\n41011 61683\n78128 100000\n16874 25411\n2849 4317\n48058 72178\n70122 100000\n58111 87173\n60168 90279\n47089 70748\n53527 80335\n22296 33606\n37279 56068\n76077 100000\n16469 24808\n68052 100000\n9911 14901\n46192 69386\n98585 100000\n71467 100000\n19361 29162\n32037 48243\n4177 6302\n39765 59821\n46938 70508\n68483 100000\n82612 100000\n4196 6330\n45818 68830\n50835 76319\n61914 92885\n31454 47374\n30773 46349\n67968 100000\n49614 74509\n39252 59050\n31934 48096\n90546 100000\n33829 50934\n56806 85212\n26247 39543\n78946 100000\n22568 34003\n14192 21367\n20673 31137\n55602 83439\n28712 43231\n82731 100000\n26312 39640\n7219 10844\n63435 95140\n99339 100000\n84635 100000\n27207 40979\n93158 100000\n99409 100000\n33327 50181\n43884 65951\n76398 100000\n75049 100000\n59874 89830\n88109 100000\n60067 90118\n2227 3370\n40050 60244\n45527 68404\n7863 11814\n77564 100000\n64234 96338\n98511 100000\n10429 15687\n80760 100000\n18360 27671\n27831 41906\n59747 89631\n41979 63128\n510 753\n1844 2781\n56133 84219\n95796 100000\n35354 53180\n18655 28121\n66005 98994\n54141 81227\n72906 100000\n18114 27291\n18950 28549\n15840 23873\n78891 100000\n46153 69330\n71856 100000\n27381 41231\n87147 100000\n80944 100000\n93069 100000\n23524 35457\n38587 58052\n7183 10793\n97436 100000\n99395 100000\n39551 59498\n19559 29460\n28876 43480\n62763 94135\n3601 5436\n86330 100000\n33945 51110\n40727 61253\n30941 46591\n86116 100000\n51422 77178\n18578 28005\n6326 9503\n19980 30094\n15089 22722\n2006 3031\n86664 100000\n55674 83541\n15540 23413\n88920 100000\n81452 100000\n48217 72409\n6349 9532\n22986 34640\n6882 10329\n44503 66882\n20606 31035\n14164 21330\n94264 100000\n75690 100000\n95005 100000\n76826 100000\n18723 28219\n93335 100000\n35038 52706\n76492 100000\n74674 100000\n27341 41175\n68083 100000\n35759 53782\n93370 100000\n83108 100000\n32050 48265\n62841 94246\n88022 100000\n98763 100000\n44695 67177\n6770 10165\n73079 100000\n71632 100000\n1230 1841\n82813 100000\n74135 100000\n33303 50149\n24596 37063\n1792 2704\n71593 100000\n25872 39004\n75555 100000\n36566 55002\n87705 100000\n19174 28886\n38831 58421\n94635 100000\n91740 100000\n18025 27156\n35072 52758\n22981 34632\n89073 100000\n47254 70984\n87962 100000\n71038 100000\n84913 100000\n72308 100000\n14495 21820\n49848 74842\n11595 17448\n37392 56234\n39981 60137\n44072 66235\n69075 100000\n68315 100000\n97981 100000\n96915 100000\n12038 18103\n87341 100000\n17947 27038\n43438 65298\n79157 100000\n89627 100000\n16356 24645\n91616 100000\n93554 100000\n14416 21699\n56467 84709\n49698 74623\n59304 88965\n63071 94590\n21419 32291\n88471 100000\n6418 9634\n11795 17749\n20071 30232\n51323 77029\n16200 24410\n94831 100000\n74660 100000\n93811 100000\n33616 50612\n13017 19606\n13720 20656\n57422 86148\n4202 6339\n2546 3852\n31548 47517\n23494 35407\n21699 32707\n82317 100000\n16505 24863\n85152 100000\n63921 95880\n31258 47071\n45414 68242\n25667 38695\n52579 78940\n72229 100000\n72970 100000\n2250 3408\n61641 92479\n78908 100000\n52285 78488\n23411 35279\n54066 81122\n16266 24512\n38666 58165\n11216 16874\n14409 21687\n48164 72324\n8102 12170\n42663 64144\n33300 50144\n43253 65023\n52184 78339\n75468 100000\n22917 34529\n55554 83363\n24348 36695\n24877 37507\n47360 71144\n53801 80739\n53046 79634\n27990 42132\n35315 53123\n69702 100000\n57820 86730\n77077 100000\n34241 51538\n19822 29844\n53265 79958\n80950 100000\n17178 25884\n79586 100000\n3682 5557\n89251 100000\n95028 100000\n86398 100000\n6230 9358\n60623 90960\n73607 100000\n41411 62287\n30588 46076\n32003 48195\n47341 71114\n67114 100000\n56506 84767\n8049 12092\n88833 100000\n69261 100000\n89128 100000\n98852 100000\n46746 70222\n38993 58659\n3282 4969\n70341 100000\n70290 100000\n9718 14607\n5529 8297\n40471 60871\n12589 18940\n59867 89820\n66054 99070\n84017 100000\n55598 83433\n10151 15269\n55247 82898\n69321 100000\n49090 73707\n12956 19514\n72240 100000\n28084 42284\n37125 55836\n20035 30176\n81995 100000\n49125 73759\n13170 19840\n1181 1763\n35237 53009\n30143 45417\n90730 100000\n48234 72435\n40125 60352\n57490 86237\n76361 100000\n98338 100000\n21769 32813\n73555 100000\n16870 25406\n94120 100000\n4954 7467\n48080 72209\n79012 100000\n53471 80255\n18580 28007\n91538 100000\n715 1072\n67224 100000\n5005 7537\n83057 100000\n65407 98103\n55609 83449\n78281 100000\n93375 100000\n43059 64730\n90863 100000\n22836 34402\n87939 100000\n92733 100000\n52765 79208\n88096 100000\n92978 100000\n23972 36129\n30324 45684\n38277 57592\n35805 53852\n33295 50138\n6233 9362\n76783 100000\n19415 29243\n31023 46715\n55123 82709\n56276 84427\n70222 100000\n30949 46603\n74342 100000\n94468 100000\n60661 91014\n81161 100000\n31890 48030\n57569 86349\n70507 100000\n44082 66249\n10058 15133\n5781 8680\n24541 36978\n98759 100000\n79103 100000\n27172 40924\n20360 30655\n24863 37483\n48451 72751\n85920 100000\n28905 43525\n9396 14123\n63373 95045\n17248 25994\n86380 100000\n46597 70000\n74394 100000\n97605 100000\n56048 84091\n67838 100000\n30465 45893\n62339 93515\n49588 74470\n8533 12810\n95779 100000\n54134 81216\n49327 74071\n40857 61450\n61082 91642\n66250 99374\n16211 24427\n30429 45837\n13133 19785\n19816 29834\n13696 20621\n81929 100000\n40345 60682\n24780 37352\n60308 90480\n84469 100000\n71236 100000\n92593 100000\n79220 100000\n33877 51012\n79132 100000\n25325 38165\n82611 100000\n11 14\n82782 100000\n42601 64050\n65595 98388\n18022 27150\n809 1211\n98450 100000\n6221 9347\n44565 66975\n3774 5696\n24493 36909\n35533 53442\n49995 75054\n54994 82509\n75267 100000\n17949 27042\n68918 100000\n37591 56535\n30392 45783\n26581 40045\n3889 5864\n47598 71499\n4619 6965\n80335 100000\n93781 100000\n32147 48415\n21698 32706\n98369 100000\n20216 30444\n83523 100000\n67891 100000\n90953 100000\n50294 75511\n59127 88699\n44529 66925\n1363 2044\n97305 100000\n84206 100000\n35127 52844\n32886 49516\n33489 50418\n39539 59481\n42390 63737\n15275 23004\n76362 100000\n86523 100000\n58252 87377\n21434 32312\n98677 100000\n12133 18253\n76447 100000\n90201 100000\n59214 88825\n41945 63076\n16632 25052\n86430 100000\n20211 30436\n31671 47696\n83914 100000\n33090 49839\n15743 23715\n28774 43328\n13400 20180\n2892 4386\n92212 100000\n51825 77805\n930 1390\n9185 13799\n71619 100000\n90860 100000\n74110 100000\n56267 84416\n78234 100000\n31049 46753\n75841 100000\n42902 64493\n27324 41150\n83962 100000\n78797 100000\n3138 4748\n51292 76989\n91578 100000\n19855 29901\n37839 56914\n70296 100000\n76831 100000\n35624 53575\n55706 83590\n5878 8836\n18476 27845\n98577 100000\n8081 12142\n53459 80240\n6257 9397\n26089 39310\n15159 22829\n17618 26549\n45470 68322\n1501 2253\n17039 25668\n2961 4479\n35852 53924\n72107 100000\n47371 71160\n46182 69374\n4432 6681\n22886 34479\n64555 96825\n80622 100000\n15186 22871\n62070 93113\n99647 100000\n10410 15662\n91388 100000\n50919 76444\n19637 29575\n26179 39445\n39427 59316\n24046 36247\n20922 31526\n66994 100000\n65275 97903\n79518 100000\n21562 32508\n34693 52207\n16146 24334\n70589 100000\n14815 22305\n47357 71140\n33337 50196\n70042 100000\n82905 100000\n83096 100000\n65317 97967\n4563 6882\n4055 6119\n89335 100000\n58438 87645\n70778 100000\n99636 100000\n44018 66160\n38515 57944\n64363 96535\n67958 100000\n67634 100000\n23596 35568\n51321 77027\n79161 100000\n47544 71422\n66691 100000\n76980 100000\n33435 50337\n23689 35706\n83042 100000\n40513 60933\n34388 51757\n87456 100000\n48680 73095\n90417 100000\n60495 90762\n73149 100000\n58662 87980\n7048 10580\n15638 23561\n95238 100000\n23570 35526\n99792 100000\n23974 36132\n12155 18292\n64993 97474\n96078 100000\n86877 100000\n2009 3036\n69347 100000\n51379 77115\n46371 69664\n33455 50368\n6154 9240\n63566 95345\n79554 100000\n58365 87545\n33611 50603\n82815 100000\n62103 93162\n76724 100000\n76133 100000\n22188 33443\n94717 100000\n24956 37619\n67100 100000\n79575 100000\n63843 95769\n85244 100000\n45430 68266\n16860 25388\n2131 3225\n63011 94494\n53778 80701\n56341 84523\n78443 100000\n1708 2572\n24106 36334\n74463 100000\n92795 100000\n13715 20651\n66398 99592\n28597 43057\n4817 7261\n53796 80731\n48406 72688\n94337 100000\n56084 84145\n52424 78700\n71407 100000\n98132 100000\n14467 21778\n89705 100000\n29083 43795\n87557 100000\n83270 100000\n93221 100000\n7109 10673\n58833 88256\n11302 17009\n7467 11225\n94206 100000\n18216 27450\n93640 100000\n91742 100000\n17459 26304\n69949 100000\n85447 100000\n7630 11465\n92527 100000\n88608 100000\n16799 25295\n17288 26051\n1485 2230\n25586 38563\n11652 17535\n98950 100000\n31896 48038\n84898 100000\n58880 88325\n38157 57411\n24771 37336\n58964 88454\n71288 100000\n68621 100000\n41225 62012\n62023 93044\n27535 41468\n88553 100000\n26030 39224\n55091 82657\n29879 45005\n79441 100000\n38466 57870\n62100 93158\n73860 100000\n87975 100000\n88197 100000\n37943 57077\n10392 15635\n56304 84466\n56281 84434\n54470 81731\n48874 73380\n46497 69852\n83948 100000\n24266 36572\n68346 100000\n45020 67658\n76374 100000\n86517 100000\n52017 78086\n81021 100000\n58560 87824\n36823 55381\n4827 7277\n86495 100000\n28137 42366\n26133 39378\n44075 66238\n44395 66723\n28685 43190\n5626 8446\n8541 12821\n4085 6166\n16565 24950\n23637 35626\n20111 30287\n91566 100000\n6751 10134\n28351 42684\n51517 77326\n68016 100000\n95264 100000\n79769 100000\n55864 83815\n98809 100000\n73048 100000\n91778 100000\n63823 95738\n76370 100000\n32671 49190\n10917 16426\n14512 21847\n77884 100000\n70941 100000\n86204 100000\n95615 100000\n83408 100000\n80896 100000\n60514 90792\n37123 55833\n62037 93066\n47473 71315\n55249 82901\n30417 45820\n58602 87889\n9167 13773\n60422 90652\n23786 35854\n77218 100000\n54049 81097\n48458 72761\n26229 39515\n3395 5134\n54576 81887\n43324 65128\n69340 100000\n29057 43759\n29420 44300\n56938 85415\n47808 71807\n49643 74548\n69215 100000\n60454 90701\n89360 100000\n22041 33230\n55118 82702\n87949 100000\n73563 100000\n39420 59307\n85410 100000\n97597 100000\n35132 52851\n58016 87027\n13177 19850\n15317 23070\n46947 70523\n41384 62247\n70650 100000\n33025 49742\n51429 77188\n45381 68195\n9596 14426\n88664 100000\n16014 24130\n37913 57029\n7475 11239\n28569 43012\n18776 28293\n9906 14893\n16976 25570\n20191 30405\n10491 15777\n68974 100000\n40925 61548\n58613 87907\n57867 86802\n22666 34146\n75139 100000\n14367 21621\n9764 14677\n38826 58412\n94995 100000\n65130 97680\n5486 8237\n8661 13003\n68489 100000\n88622 100000\n12242 18419\n40564 61013\n38547 57995\n82260 100000\n38507 57931\n16079 24228\n58812 88226\n44005 66140\n76426 100000\n88086 100000\n27855 41940\n6764 10158\n14095 21226\n27266 41066\n9293 13963\n72890 100000\n97530 100000\n17172 25873\n75637 100000\n42598 64047\n30223 45538\n42629 64095\n23306 35122\n12431 18697\n34445 51842\n39285 59100\n33066 49798\n96993 100000\n80647 100000\n3967 5987\n54939 82428\n95114 100000\n10134 15244\n42205 63460\n67513 100000\n31865 47993\n47454 71284\n32202 48500\n92359 100000\n82146 100000\n80397 100000\n22262 33557\n96504 100000\n78852 100000\n44883 67457\n49115 73743\n44173 66385\n54560 81861\n15775 23764\n54457 81708\n38930 58570\n85551 100000\n32121 48373\n58051 87083\n21423 32298\n67823 100000\n4455 6715\n92698 100000\n44448 66798\n57368 86067\n56844 85272\n25833 38947\n33825 50928\n73760 100000\n36621 55088\n56851 85281\n66378 99564\n93697 100000\n43510 65406\n36333 54648\n20402 30720\n49153 73804\n90039 100000\n53311 80029\n65173 97752\n78779 100000\n57437 86170\n95604 100000\n33642 50651\n60424 90655\n56587 84888\n5857 8803\n4138 6243\n52736 79161\n3490 5274\n69381 100000\n33992 51176\n86316 100000\n54755 82146\n94956 100000\n31083 46804\n76886 100000\n54119 81196\n51172 76814\n24626 37110\n87867 100000\n87923 100000\n19685 29647\n81129 100000\n69944 100000\n54469 81729\n75281 100000\n36806 55357\n43606 65549\n36000 54140\n11946 17967\n98412 100000\n95349 100000\n57203 85813\n78536 100000\n10630 15981\n49691 74614\n26542 39987\n68565 100000\n48519 72863\n65186 97775\n60625 90963\n81277 100000\n95235 100000\n44502 66881\n64259 96378\n86492 100000\n31672 47697\n31331 47186\n17808 26833\n68116 100000\n47476 71319\n89756 100000\n95409 100000\n29135 43870\n9165 13770\n74663 100000\n93063 100000\n13340 20094\n27409 41272\n42659 64139\n86111 100000\n99311 100000\n11371 17114\n33843 50954\n12091 18187\n4726 7126\n24703 37230\n34702 52219\n9508 14294\n100 149\n3868 5830\n93470 100000\n8773 13175\n96421 100000\n48343 72595\n5607 8419\n97849 100000\n11488 17290\n95580 100000\n13471 20288\n26425 39813\n98191 100000\n13172 19842\n26769 40324\n55415 83160\n94980 100000\n12250 18431\n72930 100000\n71623 100000\n67893 100000\n9105 13679\n4408 6647\n77099 100000\n13829 20822\n70394 100000\n72423 100000\n1280 1921\n35280 53070\n58339 87509\n45107 67794\n47507 71367\n23617 35596\n30153 45433\n54760 82154\n66968 100000\n77671 100000\n56509 84773\n38349 57702\n83542 100000\n59657 89493\n12653 19041\n98328 100000\n17998 27118\n5805 8717\n36860 55437\n87363 100000\n16387 24689\n19581 29490\n37559 56484\n28505 42916\n7411 11135\n69954 100000\n72646 100000\n20970 31598\n19624 29557\n37168 55901\n39986 60146\n43451 65316\n19736 29727\n93401 100000\n46310 69574\n32519 48969\n75089 100000\n32416 48811\n32070 48296\n93792 100000\n99982 100000\n98458 100000\n84599 100000\n35869 53948\n92637 100000\n24804 37394\n92012 100000\n32911 49556\n25999 39179\n92629 100000\n25983 39157\n96520 100000\n18466 27829\n99295 100000\n40740 61276\n96104 100000\n57360 86053\n59333 89008\n88060 100000\n74683 100000\n77158 100000\n89420 100000\n57530 86298\n91045 100000\n82468 100000\n87562 100000\n38579 58041\n80028 100000\n57990 86993\n19857 29904\n74756 100000\n34625 52102\n54414 81641\n33256 50079\n30785 46367\n50397 75657\n81651 100000\n72310 100000\n99280 100000\n75611 100000\n26457 39864\n32459 48875\n52564 78916\n41588 62543\n70443 100000\n13032 19628\n19991 30111\n87564 100000\n93312 100000\n21182 31927\n111 164\n41536 62472\n94626 100000\n44302 66576\n42744 64260\n76130 100000\n78181 100000\n74918 100000\n94457 100000\n38484 57894\n94465 100000\n58206 87308\n28726 43252\n22699 34198\n86760 100000\n64825 97229\n55538 83339\n57066 85606\n55619 83462\n11190 16837\n48998 73569\n61868 92813\n2433 3676\n92987 100000\n93854 100000\n93076 100000\n74055 100000\n18057 27204\n53495 80287\n64884 97316\n58226 87336\n94419 100000\n44032 66177\n65293 97933\n19412 29237\n73215 100000\n21595 32552\n10111 15210\n24038 36237\n87330 100000\n62607 93904\n17885 26944\n10433 15692\n11740 17664\n77292 100000\n19577 29484\n75338 100000\n50302 75522\n4486 6763\n51417 77171\n10876 16359\n6730 10102\n76425 100000\n15002 22590\n55160 82767\n60288 90448\n19119 28799\n96260 100000\n51708 77621\n49497 74327\n70126 100000\n71332 100000\n98197 100000\n92883 100000\n40378 60730\n10055 15128\n81341 100000\n24592 37058\n90692 100000\n95331 100000\n32715 49252\n93253 100000\n35959 54082\n1541 2314\n69179 100000\n68703 100000\n47702 71647\n83148 100000\n31868 47998\n33062 49791\n57541 86314\n34864 52456\n37171 55905\n13443 20246\n47581 71473\n42895 64481\n80876 100000\n2715 4104\n80061 100000\n67137 100000\n11457 17245\n98446 100000\n69857 100000\n92964 100000\n49390 74166\n85778 100000\n78038 100000\n6226 9353\n3417 5167\n8148 12245\n72024 100000\n40842 61426\n71091 100000\n76335 100000\n3768 5687\n76847 100000\n81210 100000\n2761 4181\n81402 100000\n43155 64868\n5139 7730\n51867 77865\n89931 100000\n44845 67402\n74823 100000\n79778 100000\n21221 31982\n86344 100000\n57538 86311\n52547 78890\n24476 36885\n66478 99710\n72967 100000\n21785 32839\n6913 10374\n47819 71825\n74321 100000\n55546 83352\n81392 100000\n65450 98174\n67291 100000\n67648 100000\n55313 82999\n16828 25336\n92485 100000\n10854 16323\n23903 36029\n65655 98478\n66253 99379\n54931 82415\n45392 68214\n10008 15056\n32310 48661\n34621 52096\n58736 88103\n27793 41850\n73260 100000\n79349 100000\n14009 21096\n25130 37875\n70159 100000\n39363 59224\n49835 74823\n94155 100000\n59637 89466\n51541 77366\n72615 100000\n23063 34755\n19592 29508\n82132 100000\n2512 3801\n52863 79353\n94186 100000\n3690 5568\n23836 35930\n80301 100000\n21685 32689\n39515 59448\n44418 66754\n94298 100000\n86420 100000\n61927 92901\n16050 24183\n7531 11317\n3890 5865\n68680 100000\n57574 86356\n81342 100000\n27040 40726\n38894 58514\n20227 30460\n75200 100000\n37052 55729\n78478 100000\n6473 9722\n22980 34630\n70523 100000\n62849 94257\n60129 90215\n8808 13233\n42593 64039\n33344 50207\n48719 73151\n56552 84837\n96926 100000\n50291 75506\n62942 94394\n37967 57111\n19319 29106\n4927 7430\n38812 58389\n33114 49871\n1526 2290\n95570 100000\n18778 28296\n94321 100000\n3437 5198\n8805 13229\n37920 57040\n7063 10603\n47372 71161\n24820 37418\n47494 71346\n62552 93828\n49766 74725\n5337 8016\n43440 65300\n28384 42736\n50855 76348\n43298 65093\n99124 100000\n16350 24637\n83910 100000\n44948 67549\n5632 8455\n35058 52739\n44206 66434\n25731 38793\n94534 100000\n34888 52487\n43754 65756\n27979 42118\n88138 100000\n61799 92709\n65351 98016\n67905 100000\n10052 15124\n34101 51337\n53938 80936\n38461 57863\n95123 100000\n34736 52269\n28978 43636\n52456 78747\n66351 99524\n26176 39441\n62967 94430\n57334 86017\n40715 61234\n18005 27130\n70847 100000\n93870 100000\n21252 32031\n24318 36652\n27260 41057\n82550 100000\n74381 100000\n33930 51089\n11002 16561\n48354 72612\n69501 100000\n76982 100000\n7345 11035\n72908 100000\n33161 49937\n797 1193\n13537 20378\n96808 100000\n8889 13356\n42146 63376\n419 617\n92149 100000\n3386 5122\n36610 55074\n98238 100000\n60638 90981\n45938 69005\n96163 100000\n48627 73010\n69466 100000\n48084 72215\n78367 100000\n41980 63130\n57187 85790\n8755 13149\n37154 55880\n77861 100000\n68390 100000\n69096 100000\n83329 100000\n74621 100000\n45135 67833\n62262 93403\n42664 64146\n52536 78870\n96643 100000\n52925 79448\n48214 72403\n86893 100000\n83264 100000\n36805 55355\n97216 100000\n69281 100000\n55513 83303\n37118 55826\n55502 83286\n25362 38220\n55115 82696\n84720 100000\n81652 100000\n81267 100000\n91247 100000\n32408 48801\n69528 100000\n67417 100000\n5950 8945\n52573 78930\n9813 14755\n25045 37750\n82025 100000\n56866 85306\n66315 99473\n36472 54857\n80884 100000\n6922 10389\n34764 52308\n32243 48559\n42029 63201\n90850 100000\n72799 100000\n98619 100000\n80580 100000\n17835 26869\n97407 100000\n15082 22712\n6906 10364\n60784 91211\n53975 80992\n42954 64571\n44073 66236\n68387 100000\n63206 94797\n45990 69085\n16058 24196\n25404 38288\n87187 100000\n21144 31867\n74802 100000\n9098 13669\n38054 57248\n85224 100000\n38843 58439\n79561 100000\n15071 22696\n63649 95477\n52986 79542\n16220 24438\n66282 99423\n47446 71271\n29489 44406\n16205 24416\n14039 21144\n21240 32015\n86723 100000\n67985 100000\n24915 37563\n83050 100000\n65046 97555\n61595 92408\n96679 100000\n73652 100000\n39837 59930\n59996 90009\n76109 100000\n11741 17665\n81674 100000\n78124 100000\n21492 32401\n41139 61883\n4919 7418\n6053 9091\n26753 40300\n24573 37026\n51293 76990\n87991 100000\n4366 6583\n51241 76914\n89266 100000\n83084 100000\n98765 100000\n15622 23536\n37734 56750\n14562 21922\n64676 97003\n81704 100000\n24935 37591\n2735 4135\n72000 100000\n698 1046\n6278 9429\n83530 100000\n55376 83101\n21526 32454\n63449 95161\n71329 100000\n94864 100000\n13510 20341\n48438 72733\n80450 100000\n53493 80284\n3771 5692\n36557 54988\n90765 100000\n7050 10582\n82314 100000\n78017 100000\n88740 100000\n35933 54044\n40061 60260\n94305 100000\n33996 51181\n61631 92464\n11561 17401\n14825 22319\n57639 86452\n5206 7832\n25190 37960\n73828 100000\n2451 3704\n53479 80266\n10794 16232\n30192 45490\n56505 84766\n4700 7086\n58009 87018\n22424 33793\n19771 29772\n72255 100000\n39895 60015\n26162 39421\n90875 100000\n57493 86242\n25149 37901\n82318 100000\n49776 74739\n51428 77187\n53842 80796\n75745 100000\n98958 100000\n18796 28324\n2292 3469\n78472 100000\n10298 15489\n72198 100000\n51922 77944\n96292 100000\n84512 100000\n64408 96605\n72727 100000\n89877 100000\n55889 83851\n75224 100000\n48494 72822\n34221 51509\n77517 100000\n58523 87771\n62227 93352\n65816 98708\n84517 100000\n99203 100000\n71165 100000\n61707 92576\n51552 77381\n14682 22102\n39414 59299\n29558 44514\n20515 30894\n50442 75725\n64547 96813\n15258 22977\n62820 94220\n80433 100000\n38953 58601\n21878 32983\n38853 58456\n13087 19713\n32525 48977\n38878 58490\n83988 100000\n98397 100000\n17780 26788\n94836 100000\n11423 17192\n46707 70162\n3111 4707\n37876 56973\n33497 50431\n69478 100000\n87843 100000\n80757 100000\n11514 17328\n66113 99162\n50680 76085\n82745 100000\n24621 37101\n41997 63156\n36019 54169\n37846 56928\n53307 80024\n64615 96912\n27228 41010\n18086 27246\n10546 15856\n28648 43130\n61925 92898\n68289 100000\n96353 100000\n21326 32153\n8833 13272\n39222 59002\n80268 100000\n5332 8008\n70417 100000\n48158 72316\n8803 13226\n33084 49829\n9333 14024\n39556 59506\n33932 51091\n73359 100000\n81486 100000\n92362 100000\n53887 80864\n10993 16547\n81500 100000\n25990 39167\n75699 100000\n46232 69449\n15423 23237\n54015 81051\n38256 57559\n74915 100000\n42549 63975\n79374 100000\n56558 84844\n20849 31418\n2482 3754\n75162 100000\n64072 96100\n3610 5448\n40139 60372\n80339 100000\n56768 85157\n27923 42045\n17026 25646\n58236 87351\n66761 100000\n36850 55420\n73263 100000\n19418 29246\n25072 37791\n40317 60637\n80740 100000\n76124 100000\n24878 37509\n51640 77518\n9563 14378\n62308 93470\n12699 19115\n53978 80997\n26909 40541\n44022 66164\n88223 100000\n54269 81422\n40065 60267\n6711 10074\n88267 100000\n20104 30280\n11735 17658\n64383 96565\n31375 47253\n87391 100000\n61269 91928\n17875 26928\n45909 68960\n46136 69307\n69052 100000\n60029 90059\n31674 47701\n67465 100000\n87937 100000\n19620 29551\n88044 100000\n3672 5542\n85446 100000\n63796 95697\n66864 100000\n9210 13838\n94181 100000\n19072 28724\n35527 53435\n32604 49098\n82201 100000\n94670 100000\n96869 100000\n67727 100000\n36047 54206\n22602 34048\n55637 83486\n54419 81647\n50065 75161\n13208 19891\n73750 100000\n99725 100000\n9449 14205\n19070 28721\n72379 100000\n84435 100000\n12478 18772\n73171 100000\n14356 21604\n97350 100000\n85002 100000\n1246 1865\n32196 48491\n95443 100000\n94564 100000\n71971 100000\n49108 73734\n72446 100000\n32349 48719\n25547 38507\n71652 100000\n20882 31467\n3183 4814\n42386 63730\n9575 14395\n57662 86485\n53715 80615\n50365 75609\n85557 100000\n75862 100000\n78182 100000\n81702 100000\n69133 100000\n95479 100000\n92914 100000\n98167 100000\n45384 68200\n29097 43818\n94330 100000\n59271 88912\n20990 31631\n48350 72606\n18322 27613\n2995 4533\n34301 51634\n32708 49243\n8323 12498\n67947 100000\n82678 100000\n57742 86612\n57689 86526\n95088 100000\n4460 6723\n78021 100000\n94201 100000\n79212 100000\n79048 100000\n35370 53206\n65998 98987\n52879 79381\n69712 100000\n44011 66149\n68168 100000\n57651 86467\n10159 15281\n74181 100000\n72021 100000\n20366 30666\n63668 95506\n28942 43581\n22129 33360\n44017 66158\n82555 100000\n48085 72216\n54380 81590\n99670 100000\n89388 100000\n44147 66349\n97423 100000\n19617 29546\n67553 100000\n90960 100000\n22065 33266\n79184 100000\n81555 100000\n95967 100000\n79904 100000\n57555 86332\n57014 85531\n87374 100000\n13762 20723\n21972 33131\n44201 66428\n40713 61232\n37292 56088\n93824 100000\n23992 36164\n26757 40305\n18422 27762\n67978 100000\n33098 49850\n61573 92372\n5171 7777\n36612 55076\n22242 33526\n80023 100000\n10704 16101\n49042 73633\n33092 49841\n67178 100000\n76210 100000\n98403 100000\n57064 85604\n5495 8248\n80970 100000\n52476 78776\n4077 6151\n57885 86828\n97041 100000\n93657 100000\n45941 69011\n46041 69161\n44401 66732\n6481 9733\n84925 100000\n86911 100000\n70465 100000\n96142 100000\n43500 65389\n31089 46814\n81198 100000\n5958 8956\n51700 77609\n2754 4168\n48908 73430\n93358 100000\n68590 100000\n66023 99023\n40585 61043\n61134 91724\n48671 73081\n69963 100000\n76622 100000\n70312 100000\n92264 100000\n59538 89320\n4230 6379\n66241 99360\n57129 85703\n3827 5766\n25750 38822\n27244 41033\n87836 100000\n55677 83546\n69551 100000\n37111 55814\n39036 58725\n57292 85953\n29608 44593\n64624 96926\n84026 100000\n80467 100000\n38701 58214\n22461 33849\n60150 90249\n95808 100000\n26567 40026\n67819 100000\n75082 100000\n20412 30736\n79345 100000\n42276 63565\n51443 77210\n35571 53493\n6660 9997\n36316 54623\n69767 100000\n39813 59894\n49541 74396\n44514 66901\n69276 100000\n56485 84738\n71485 100000\n22442 33818\n29729 44782\n30464 45892\n9222 13856\n2434 3678\n7635 11472\n60368 90573\n18721 28216\n55580 83406\n78791 100000\n59823 89754\n91198 100000\n88128 100000\n17409 26224\n26805 40378\n28422 42793\n20680 31148\n25879 39015\n32258 48579\n11728 17648\n10897 16392\n17072 25722\n20746 31258\n45865 68898\n17814 26841\n2056 3105\n64689 97023\n32912 49558\n94632 100000\n48074 72200\n17494 26355\n15255 22973\n32783 49360\n92828 100000\n1897 2858\n77443 100000\n67638 100000\n82768 100000\n84496 100000\n71864 100000\n90859 100000\n3357 5079\n82824 100000\n77310 100000\n16655 25085\n70843 100000\n39471 59383\n68421 100000\n94370 100000\n76655 100000\n66326 99488\n76557 100000\n22606 34054\n17462 26309\n87152 100000\n97868 100000\n46866 70398\n84734 100000\n65042 97549\n4161 6277\n25549 38510\n65017 97514\n53221 79895\n53486 80275\n40594 61056\n6508 9772\n13159 19826\n23234 35016\n22139 33373\n4771 7195\n95280 100000\n31359 47228\n98607 100000\n8438 12663\n7097 10655\n30089 45334\n16458 24789\n51015 76581\n99445 100000\n87123 100000\n26200 39475\n90470 100000\n77023 100000\n80155 100000\n30659 46181\n21659 32654\n72921 100000\n84751 100000\n29760 44829\n88756 100000\n98081 100000\n66188 99280\n60331 90516\n83346 100000\n41785 62837\n7568 11372\n91581 100000\n73210 100000\n28327 42650\n26634 40121\n6022 9046\n19223 28956\n85013 100000\n24007 36187\n86968 100000\n68903 100000\n15382 23176\n54717 82087\n89171 100000\n45993 69090\n67051 100000\n51709 77623\n19489 29356\n4397 6628\n26125 39366\n45108 67795\n27045 40732\n71579 100000\n62148 93233\n80574 100000\n84491 100000\n96668 100000\n72540 100000\n58323 87482\n21330 32159\n13311 20049\n15322 23078\n29998 45190\n77085 100000\n2305 3490\n81251 100000\n92548 100000\n16718 25178\n41487 62399\n54234 81369\n91004 100000\n37905 57018\n68367 100000\n35011 52670\n6442 9675\n62472 93707\n67766 100000\n25863 38987\n62450 93674\n12274 18466\n30341 45710\n85527 100000\n92933 100000\n58408 87603\n92027 100000\n16712 25171\n32834 49437\n91665 100000\n58788 88186\n41135 61877\n40009 60182\n77823 100000\n12968 19533\n52780 79229\n46842 70361\n28883 43490\n54231 81365\n88316 100000\n27643 41623\n93016 100000\n70220 100000\n74361 100000\n48673 73083\n95369 100000\n55845 83789\n3119 4720\n17552 26445\n67654 100000\n28794 43361\n10954 16486\n26037 39232\n79104 100000\n2838 4303\n33029 49747\n4287 6462\n7800 11717\n25504 38440\n67886 100000\n43251 65019\n18797 28326\n62457 93683\n84221 100000\n27216 40992\n29153 43901\n21828 32904\n26573 40034\n16145 24333\n51206 76864\n99995 100000\n71978 100000\n9059 13610\n38500 57921\n38280 57596\n43475 65351\n61456 92205\n38052 57245\n73737 100000\n55452 83215\n96290 100000\n33852 50968\n3074 4649\n54968 82471\n62462 93691\n48785 73252\n15063 22683\n13921 20964\n3591 5420\n74272 100000\n70828 100000\n7176 10783\n53266 79959\n87750 100000\n92112 100000\n44295 66567\n50459 75748\n5860 8807\n79189 100000\n86967 100000\n65304 97948\n71630 100000\n53429 80201\n88201 100000\n1563 2346\n93340 100000\n76597 100000\n66568 99845\n36221 54473\n56438 84667\n83440 100000\n29772 44844\n94287 100000\n6878 10324\n81465 100000\n61056 91604\n18514 27902\n45889 68932\n49269 73982\n96661 100000\n9945 14954\n82764 100000\n40351 60690\n45484 68344\n72025 100000\n78046 100000\n72582 100000\n82186 100000\n17703 26677\n23255 35046\n42764 64287\n99620 100000\n9626 14471\n18392 27717\n45351 68154\n91483 100000\n83340 100000\n52678 79078\n79849 100000\n21873 32976\n86314 100000\n27952 42083\n29526 44465\n48496 72826\n57661 86483\n53820 80765\n17177 25882\n35642 53601\n59577 89378\n62344 93523\n54165 81268\n47782 71770\n34851 52435\n7675 11534\n75865 100000\n5497 8251\n85257 100000\n58355 87532\n50379 75630\n21992 33157\n10302 15494\n62791 94172\n67331 100000\n99026 100000\n44513 66899\n87951 100000\n91809 100000\n85537 100000\n71853 100000\n26519 39952\n14800 22280\n47652 71576\n9636 14486\n26424 39812\n69999 100000\n73127 100000\n78161 100000\n52254 78441\n68953 100000\n65651 98473\n85370 100000\n71867 100000\n32397 48784\n91943 100000\n35074 52761\n16444 24769\n91999 100000\n31775 47853\n49336 74085\n23616 35595\n2437 3682\n15842 23877\n88178 100000\n46223 69435\n55960 83956\n79629 100000\n86861 100000\n15770 23754\n15556 23438\n83566 100000\n87651 100000\n47325 71092\n3426 5183\n66339 99506\n38297 57625\n150 218\n1248 1868\n79955 100000\n89649 100000\n14498 21824\n25952 39117\n93529 100000\n28807 43381\n1234 1849\n17082 25735\n2469 3733\n99818 100000\n78135 100000\n14824 22317\n64340 96499\n87148 100000\n25091 37820\n32760 49321\n37617 56570\n94530 100000\n10958 16494\n65541 98312\n54445 81688\n25486 38414\n70519 100000\n61564 92360\n13877 20897\n54584 81899\n33701 50741\n75939 100000\n55248 82900\n50637 76024\n82450 100000\n60109 90183\n97564 100000\n47237 70962\n77432 100000\n34193 51470\n96237 100000\n75735 100000\n99553 100000\n9601 14434\n87214 100000\n97710 100000\n90442 100000\n84929 100000\n60250 90397\n19100 28769\n98084 100000\n40836 61416\n19509 29385\n54126 81205\n50030 75107\n43829 65873\n8217 12343\n36795 55340\n82183 100000\n45070 67733\n39464 59371\n29585 44555\n8341 12524\n20524 30906\n10963 16501\n80300 100000\n73421 100000\n59972 89973\n79209 100000\n89273 100000\n31800 47893\n25140 37889\n55321 83012\n13902 20937\n88047 100000\n90004 100000\n28101 42311\n17692 26661\n88885 100000\n59875 89831\n66778 100000\n56342 84524\n28373 42718\n43490 65373\n3860 5817\n45174 67895\n49421 74211\n88379 100000\n26843 40437\n33989 51172\n92439 100000\n31624 47626\n83783 100000\n1703 2565\n88543 100000\n37906 57020\n64222 96323\n82505 100000\n92573 100000\n74912 100000\n70213 100000\n85429 100000\n75386 100000\n33850 50965\n66486 99723\n93730 100000\n68669 100000\n88839 100000\n74432 100000\n37766 56801\n94951 100000\n51164 76802\n88199 100000\n32272 48604\n95370 100000\n99452 100000\n74451 100000\n17749 26746\n54468 81727\n3026 4578\n44044 66196\n33528 50475\n46586 69983\n7212 10835\n25528 38479\n4091 6172\n4113 6205\n35940 54053\n63557 95329\n23769 35826\n20322 30598\n18109 27282\n38372 57733\n79231 100000\n28812 43388\n72986 100000\n41209 61991\n69207 100000\n36398 54745\n8106 12175\n7453 11205\n24543 36980\n80493 100000\n28953 43597\n54559 81859\n95408 100000\n39111 58839\n5656 8491\n61521 92297\n87008 100000\n11557 17395\n38870 58480\n86840 100000\n29360 44214\n35300 53100\n87060 100000\n22097 33314\n95619 100000\n20296 30561\n11865 17850\n84706 100000\n23231 35013\n35259 53038\n28029 42193\n41316 62146\n78291 100000\n88343 100000\n72120 100000\n83796 100000\n94272 100000\n84644 100000\n69314 100000\n59374 89074\n42669 64153\n63015 94500\n29312 44141\n82064 100000\n45482 68340\n98767 100000\n85089 100000\n8681 13036\n80733 100000\n50550 75890\n30536 45995\n85123 100000\n67749 100000\n62194 93303\n46643 70066\n97480 100000\n86551 100000\n63236 94842\n52684 79086\n23646 35639\n89672 100000\n69328 100000\n64662 96981\n78874 100000\n86452 100000\n13645 20543\n60788 91218\n16297 24555\n4630 6983\n77114 100000\n85930 100000\n15482 23325\n6495 9754\n98160 100000\n74801 100000\n51183 76830\n46580 69973\n6222 9348\n172 250\n1819 2746\n71310 100000\n96377 100000\n36162 54384\n10625 15972\n78688 100000\n57781 86675\n9080 13643\n51074 76665\n80237 100000\n5451 8183\n66071 99095\n28539 42964\n41112 61839\n37039 55713\n66599 99892\n43349 65170\n23012 34681\n34475 51886\n46482 69827\n41061 61761\n73599 100000\n39711 59742\n500 740\n46403 69712\n31422 47327\n44702 67187\n45634 68559\n39901 60022\n97170 100000\n74678 100000\n28049 42228\n44825 67372\n87213 100000\n11320 17039\n59167 88758\n19284 29054\n31137 46891\n72721 100000\n2825 4285\n71814 100000\n19911 29989\n73645 100000\n25712 38763\n89984 100000\n51665 77555\n8466 12709\n71693 100000\n10221 15378\n84269 100000\n78872 100000\n78441 100000\n37083 55774\n1494 2243\n98308 100000\n48128 72271\n96337 100000\n44071 66234\n39625 59611\n51815 77789\n63943 95910\n67964 100000\n3691 5569\n52391 78648\n94846 100000\n24091 36313\n12834 19327\n88768 100000\n93673 100000\n97985 100000\n69604 100000\n22102 33322\n33804 50896\n15316 23068\n37587 56528\n6653 9985\n36219 54470\n16020 24138\n40110 60331\n26130 39373\n79718 100000\n48478 72795\n88505 100000\n43287 65074\n63506 95245\n86163 100000\n64520 96773\n28938 43575\n85119 100000\n69155 100000\n75918 100000\n80130 100000\n19165 28872\n56072 84128\n2565 3882\n54551 81849\n18743 28249\n3695 5575\n24465 36871\n20241 30478\n42451 63832\n17453 26295\n40498 60910\n6738 10116\n27394 41250\n14534 21880\n57625 86432\n32970 49650\n23614 35593\n53994 81021\n20381 30685\n99499 100000\n48648 73044\n59261 88897\n18059 27206\n62943 94395\n87486 100000\n47211 70925\n85656 100000\n22196 33459\n99619 100000\n86951 100000\n39479 59394\n91970 100000\n24004 36183\n35628 53580\n22925 34539\n37547 56466\n40143 60379\n1238 1855\n79097 100000\n82344 100000\n67851 100000\n1396 2097\n3258 4931\n3937 5940\n91365 100000\n62377 93568\n35585 53513\n18585 28015\n10585 15914\n89550 100000\n9679 14547\n4809 7252\n81644 100000\n59184 88783\n92680 100000\n74789 100000\n11867 17853\n58627 87930\n32510 48957\n39722 59757\n64134 96194\n78713 100000\n3803 5733\n11401 17159\n85464 100000\n43392 65236\n74752 100000\n92049 100000\n68417 100000\n77002 100000\n36554 54982\n71983 100000\n3756 5670\n84830 100000\n95818 100000\n116 171\n90807 100000\n18789 28313\n98981 100000\n33392 50271\n21494 32405\n82121 100000\n8794 13211\n50718 76142\n6444 9678\n49447 74248\n6332 9512\n14940 22499\n19511 29389\n48109 72245\n71173 100000\n45980 69072\n90760 100000\n4689 7072\n86869 100000\n18992 28609\n59036 88567\n24270 36579\n15262 22984\n26151 39405\n98043 100000\n22626 34087\n33444 50354\n59951 89943\n36708 55210\n87731 100000\n9110 13688\n15678 23625\n45306 68087\n13356 20117\n76564 100000\n19626 29559\n69350 100000\n18404 27733\n57851 86776\n17532 26412\n69570 100000\n94778 100000\n26485 39905\n23943 36084\n75486 100000\n39694 59718\n16204 24414\n87718 100000\n17374 26173\n88939 100000\n48765 73223\n47449 71277\n11201 16853\n77668 100000\n82546 100000\n69650 100000\n38354 57708\n83509 100000\n72738 100000\n94441 100000\n61841 92775\n81944 100000\n94743 100000\n65509 98266\n25729 38790\n23819 35904\n16304 24566\n82737 100000\n13484 20307\n97072 100000\n25868 38997\n48514 72855\n84149 100000\n56444 84675\n61111 91691\n19964 30072\n65080 97608\n42125 63344\n34293 51622\n257 364\n17133 25811\n96322 100000\n21772 32818\n1060 1582\n20218 30447\n40589 61048\n22226 33504\n34111 51351\n63484 95214\n1245 1864\n70007 100000\n21457 32348\n88934 100000\n15812 23825\n43064 64737\n69225 100000\n72905 100000\n5341 8022\n16544 24919\n10599 15935\n67856 100000\n72484 100000\n71896 100000\n25249 38053\n75211 100000\n31404 47297\n84914 100000\n18213 27445\n69057 100000\n71976 100000\n96374 100000\n972 1452\n15820 23839\n37679 56661\n48315 72551\n21767 32811\n6077 9124\n56384 84588\n9374 14086\n8821 13253\n40752 61294\n84801 100000\n55959 83954\n53979 80998\n19700 29670\n35243 53019\n87972 100000\n15828 23852\n81696 100000\n32002 48194\n77358 100000\n85883 100000\n66537 99799\n80936 100000\n35950 54068\n4328 6528\n25423 38317\n68549 100000\n15378 23170\n15281 23014\n71090 100000\n13125 19772\n53299 80012\n16113 24285\n93703 100000\n8707 13074\n32248 48566\n32968 49647\n78836 100000\n35374 53212\n61732 92613\n75799 100000\n44027 66170\n2450 3702\n80200 100000\n67692 100000\n90501 100000\n74260 100000\n96570 100000\n87888 100000\n87353 100000\n16934 25507\n23556 35507\n14404 21679\n47451 71280\n93611 100000\n57282 85937\n62794 94176\n48901 73419\n25518 38463\n43397 65243\n65326 97978\n29587 44558\n23168 34918\n62985 94457\n23241 35023\n68044 100000\n87215 100000\n25643 38656\n15057 22672\n89866 100000\n63613 95420\n87749 100000\n67462 100000\n49921 74949\n46805 70306\n50001 75064\n50166 75322\n38325 57668\n1095 1633\n29498 44421\n28420 42790\n50110 75234\n70168 100000\n50153 75303\n69542 100000\n7368 11071\n91895 100000\n99125 100000\n443 655\n34091 51324\n27173 40926\n77260 100000\n38098 57320\n49408 74190\n69346 100000\n72401 100000\n23621 35601\n72600 100000\n83707 100000\n85919 100000\n44007 66143\n2616 3958\n4756 7174\n20744 31256\n21757 32795\n61224 91860\n35564 53485\n7835 11769\n39008 58684\n49659 74571\n71870 100000\n7685 11548\n23852 35953\n36126 54328\n2629 3976\n60929 91412\n11798 17753\n28615 43084\n65419 98124\n66379 99565\n52073 78165\n24774 37342\n92870 100000\n72925 100000\n71758 100000\n28441 42822\n21541 32478\n19095 28760\n30248 45577\n70043 100000\n15181 22863\n85715 100000\n16111 24283\n80395 100000\n75105 100000\n89409 100000\n88985 100000\n17004 25614\n38331 57676\n57076 85622\n95530 100000\n48491 72817\n80721 100000\n95569 100000\n9468 14234\n51986 78041\n89939 100000\n20871 31451\n26171 39432\n75328 100000\n63467 95189\n98018 100000\n20959 31582\n38120 57352\n6834 10259\n4403 6639\n43218 64965\n66628 99932\n84580 100000\n91855 100000\n32569 49048\n19897 29968\n7869 11822\n29104 43827\n91398 100000\n4598 6935\n40060 60259\n67446 100000\n1556 2336\n63782 95676\n22951 34582\n47229 70951\n39677 59693\n90222 100000\n75592 100000\n24779 37350\n15974 24068\n97445 100000\n86852 100000\n9273 13936\n64600 96891\n17625 26559\n21753 32788\n53137 79772\n3856 5811\n53955 80961\n12043 18112\n94285 100000\n46350 69631\n88082 100000\n91402 100000\n65916 98859\n94767 100000\n91124 100000\n46319 69586\n9326 14015\n46014 69122\n19787 29793\n3000 4540\n81809 100000\n95804 100000\n64251 96366\n9370 14080\n16689 25137\n43550 65468\n82001 100000\n72779 100000\n46197 69394\n61951 92936\n88935 100000\n81998 100000\n84707 100000\n31799 47891\n32045 48259\n4777 7203\n894 1337\n26736 40276\n25368 38231\n1552 2330\n88997 100000\n77133 100000\n34948 52573\n29741 44801\n30453 45875\n83104 100000\n75683 100000\n96726 100000\n66433 99645\n54812 82234\n46575 69967\n75006 100000\n44553 66958\n18594 28029\n78119 100000\n74486 100000\n60697 91070\n27191 40953\n21167 31904\n37259 56037\n61989 92994\n1514 2270\n88369 100000\n84959 100000\n1173 1750\n21885 32996\n56020 84050\n85469 100000\n33154 49927\n69500 100000\n49654 74565\n74748 100000\n89500 100000\n9070 13627\n29532 44473\n64931 97385\n601 898\n5846 8785\n36592 55044\n87676 100000\n32305 48654\n68673 100000\n1473 2216\n28538 42962\n1101 1641\n8883 13347\n12064 18143\n62944 94397\n26005 39187\n17202 25925\n80373 100000\n89309 100000\n95075 100000\n6615 9924\n34226 51516\n1303 1953\n12578 18921\n8237 12372\n87158 100000\n69336 100000\n50219 75397\n55810 83738\n78116 100000\n19149 28847\n80299 100000\n69781 100000\n53598 80436\n72455 100000\n16777 25265\n22201 33465\n52417 78690\n22974 34619\n47947 72011\n3114 4712\n13444 20247\n67652 100000\n63481 95210\n94666 100000\n94390 100000\n44998 67626\n95184 100000\n5297 7959\n22679 34165\n19957 30060\n70195 100000\n55788 83703\n37323 56130\n89433 100000\n71528 100000\n66353 99527\n31240 47048\n55094 82662\n61136 91727\n82114 100000\n44839 67392\n67048 100000\n74236 100000\n53792 80723\n15166 22842\n79166 100000\n28076 42271\n71727 100000\n37065 55749\n57078 85625\n10517 15814\n48620 72998\n19131 28817\n32377 48759\n455 673\n10629 15979\n68641 100000\n7760 11658\n25288 38108\n91562 100000\n90870 100000\n54447 81691\n97911 100000\n45202 67935\n68997 100000\n15726 23691\n56772 85164\n34266 51580\n32831 49433\n83648 100000\n1408 2113\n66042 99052\n12357 18586\n29939 45096\n11720 17637\n7534 11321\n98927 100000\n46490 69842\n39025 58709\n7528 11312\n54241 81380\n98126 100000\n59026 88550\n85787 100000\n22018 33196\n57416 86140\n58592 87873\n82129 100000\n30786 46369\n16491 24839\n81861 100000\n24934 37590\n81233 100000\n73526 100000\n18009 27135\n5395 8099\n66636 99944\n67586 100000\n84226 100000\n83700 100000\n35942 54056\n28432 42808\n79919 100000\n49135 73775\n77598 100000\n8493 12756\n53834 80786\n33691 50724\n58738 88106\n98749 100000\n9728 14624\n95520 100000\n40512 60932\n26277 39587\n60606 90934\n17312 26086\n24025 36219\n89356 100000\n8031 12062\n19338 29134\n89659 100000\n97064 100000\n42523 63937\n23463 35358\n84624 100000\n75210 100000\n67863 100000\n1723 2595\n93752 100000\n86578 100000\n41150 61900\n54882 82338\n19913 29993\n86930 100000\n94414 100000\n85452 100000\n6199 9312\n10932 16450\n28102 42312\n8268 12416\n9201 13823\n4261 6422\n12880 19397\n87896 100000\n32477 48907\n92124 100000\n48082 72212\n38241 57535\n77387 100000\n51339 77054\n61721 92597\n71004 100000\n66431 99642\n8713 13084\n65719 98567\n87061 100000\n84585 100000\n12759 19208\n25832 38946\n726 1087\n43245 65008\n96459 100000\n37229 55993\n74287 100000\n78369 100000\n65204 97804\n77669 100000\n58327 87489\n33179 49963\n17244 25987\n54996 82512\n75103 100000\n90978 100000\n53342 80074\n29359 44213\n66438 99653\n1931 2913\n3986 6014\n30326 45686\n33657 50674\n66107 99152\n3793 5719\n80975 100000\n80120 100000\n51869 77868\n60766 91184\n84884 100000\n83633 100000\n7821 11750\n95217 100000\n92018 100000\n13406 20190\n21570 32522\n645 966\n61276 91937\n55525 83321\n81415 100000\n86783 100000\n93553 100000\n97837 100000\n39440 59334\n44544 66943\n90590 100000\n69672 100000\n27850 41933\n92223 100000\n1936 2921\n7529 11314\n52704 79116\n17388 26192\n23527 35461\n36048 54208\n15687 23639\n78032 100000\n88847 100000\n47203 70914\n72528 100000\n35818 53872\n33622 50622\n43893 65965\n86906 100000\n7175 10781\n80000 100000\n50976 76521\n26428 39816\n66252 99378\n68100 100000\n39659 59668\n5122 7705\n26351 39698\n39613 59593\n43915 65999\n21060 31738\n37184 55925\n5578 8372\n9682 14551\n17191 25905\n10834 16295\n69815 100000\n87767 100000\n86209 100000\n81660 100000\n86609 100000\n1457 2192\n79936 100000\n55170 82781\n30197 45498\n72730 100000\n89190 100000\n96206 100000\n96447 100000\n59055 88593\n158 230\n5230 7868\n30988 46663\n96939 100000\n68466 100000\n39451 59349\n79715 100000\n25316 38153\n20057 30210\n66849 100000\n42686 64177\n10693 16084\n96236 100000\n89476 100000\n28277 42578\n99501 100000\n52083 78181\n18634 28088\n15947 24032\n3316 5014\n20188 30401\n29899 45033\n92121 100000\n94765 100000\n6269 9416\n60783 91210\n97709 100000\n56894 85351\n35109 52821\n15148 22813\n24698 37221\n32868 49486\n54511 81794\n90485 100000\n2156 3262\n84806 100000\n5897 8863\n55205 82835\n50620 75999\n69573 100000\n26498 39925\n92955 100000\n88484 100000\n69686 100000\n30182 45476\n22762 34293\n29306 44135\n87303 100000\n61464 92217\n64761 97131\n8313 12484\n59386 89090\n87429 100000\n27694 41703\n18781 28302\n80165 100000\n7572 11377\n84006 100000\n88775 100000\n85560 100000\n335 483\n66004 98993\n55347 83056\n77553 100000\n73214 100000\n84727 100000\n64297 96435\n79005 100000\n56958 85446\n17263 26016\n61790 92697\n98389 100000\n82234 100000\n51931 77956\n12801 19278\n7302 10966\n62380 93572\n60349 90545\n63939 95904\n87086 100000\n20230 30464\n25050 37758\n49045 73637\n10572 15895\n81462 100000\n11081 16679\n45255 68011\n80056 100000\n9983 15015\n93104 100000\n37524 56429\n69872 100000\n38762 58312\n32399 48788\n40756 61299\n58497 87732\n49156 73809\n57163 85754\n58409 87605\n28135 42364\n22710 34214\n83081 100000\n34858 52446\n83017 100000\n53116 79740\n77497 100000\n23039 34719\n32385 48769\n54019 81058\n55793 83710\n51850 77841\n13574 20438\n96836 100000\n72641 100000\n80825 100000\n42369 63704\n82432 100000\n61621 92447\n95281 100000\n74165 100000\n42688 64179\n47338 71111\n15791 23789\n12696 19111\n14645 22051\n72914 100000\n90898 100000\n10073 15155\n44816 67360\n15780 23771\n54456 81706\n30983 46657\n38539 57982\n3235 4895\n13942 20994\n41634 62616\n26716 40242\n2636 3985\n88454 100000\n7200 10818\n78053 100000\n17146 25833\n24575 37029\n72818 100000\n81876 100000\n81396 100000\n11703 17613\n72369 100000\n86143 100000\n63352 95018\n74428 100000\n51250 76927\n64172 96250\n37442 56307\n32731 49277\n80858 100000\n29762 44833\n4163 6280\n18902 28479\n40738 61273\n29818 44914\n93185 100000\n41330 62169\n84664 100000\n24311 36642\n83326 100000\n70958 100000\n20192 30407\n53319 80040\n34971 52606\n20833 31394\n32694 49225\n58256 87382\n57342 86030\n31470 47400\n89648 100000\n22894 34491\n38699 58210\n52966 79513\n22283 33588\n24141 36388\n32302 48651\n21418 32290\n69891 100000\n66230 99343\n30855 46463\n89292 100000\n20149 30343\n7071 10615\n67564 100000\n23422 35296\n90052 100000\n87644 100000\n7382 11093\n45522 68398\n38166 57425\n75719 100000\n36121 54321\n4663 7032\n99233 100000\n84144 100000\n32389 48774\n63725 95591\n96934 100000\n31107 46841\n82861 100000\n60946 91437\n81637 100000\n3600 5435\n94167 100000\n30939 46588\n13621 20505\n66458 99683\n54463 81718\n36692 55187\n59546 89335\n47806 71804\n16950 25528\n5457 8195\n70520 100000\n31822 47923\n64699 97037\n74979 100000\n96701 100000\n94633 100000\n89742 100000\n19510 29387\n93860 100000\n5734 8613\n59461 89204\n87712 100000\n7599 11417\n28120 42341\n92674 100000\n51917 77935\n94878 100000\n97510 100000\n90249 100000\n48112 72248\n66987 100000\n22259 33554\n46075 69212\n67255 100000\n93273 100000\n90956 100000\n30415 45817\n75232 100000\n68987 100000\n95539 100000\n60685 91050\n38262 57570\n60430 90664\n97424 100000\n46466 69804\n82483 100000\n53018 79594\n31511 47461\n31871 48002\n40392 60753\n58208 87310\n30945 46597\n81401 100000\n33388 50267\n29349 44197\n73931 100000\n95613 100000\n56128 84210\n64786 97174\n61947 92928\n50074 75175\n80886 100000\n16793 25287\n74622 100000\n80161 100000\n60605 90932\n77647 100000\n45944 69014\n64114 96165\n3134 4742\n31325 47176\n16381 24680\n51240 76913\n81868 100000\n39159 58912\n49737 74683\n48295 72525\n51136 76757\n72859 100000\n77385 100000\n42264 63546\n56684 85034\n36487 54878\n30599 46096\n68481 100000\n30696 46239\n67239 100000\n5705 8571\n18834 28382\n50266 75468\n63918 95874\n31756 47824\n50951 76488\n29959 45132\n82061 100000\n84057 100000\n21965 33122\n51286 76979\n63579 95364\n33615 50610\n82475 100000\n92340 100000\n40256 60540\n74957 100000\n82624 100000\n66341 99508\n18486 27861\n38946 58591\n87395 100000\n88113 100000\n15069 22692\n86822 100000\n45141 67842\n83111 100000\n50272 75477\n50410 75674\n74066 100000\n28886 43495\n60711 91093\n76888 100000\n83638 100000\n82271 100000\n7269 10917\n81536 100000\n78225 100000\n28995 43660\n58420 87619\n68711 100000\n81496 100000\n41886 62987\n3339 5051\n70098 100000\n31342 47202\n53970 80985\n26948 40594\n91182 100000\n41478 62386\n48606 72979\n55146 82744\n43732 65724\n46004 69107\n63436 95141\n16090 24247\n42711 64213\n82882 100000\n36513 54918\n94861 100000\n49514 74356\n53603 80442\n4336 6540\n9128 13716\n96388 100000\n7216 10840\n32656 49170\n18210 27441\n49693 74616\n21733 32754\n50210 75383\n5993 9004\n28077 42273\n69798 100000\n97915 100000\n52041 78121\n80976 100000\n76103 100000\n80275 100000\n43558 65479\n66006 98995\n48721 73154\n91471 100000\n85659 100000\n82299 100000\n31439 47348\n6191 9297\n82305 100000\n16388 24690\n5238 7879\n57525 86289\n92447 100000\n58794 88196\n17650 26595\n39609 59587\n77561 100000\n75268 100000\n52696 79104\n19969 30079\n49605 74496\n55620 83463\n68721 100000\n70533 100000\n25735 38800\n93345 100000\n35964 54088\n53122 79751\n57037 85565\n29400 44273\n33955 51124\n69148 100000\n54410 81634\n2544 3849\n18727 28225\n81614 100000\n40032 60218\n35180 52927\n97827 100000\n81466 100000\n91195 100000\n64302 96442\n89176 100000\n8659 13001\n67661 100000\n34885 52483\n63179 94758\n78729 100000\n57075 85621\n35944 54059\n50877 76380\n80990 100000\n82709 100000\n71784 100000\n37652 56621\n86303 100000\n12361 18594\n37907 57022\n47963 72038\n3739 5642\n3734 5635\n3230 4888\n73819 100000\n22751 34276\n16528 24901\n24246 36542\n90327 100000\n29298 44122\n46435 69759\n14378 21640\n95830 100000\n13865 20878\n72715 100000\n81143 100000\n51632 77505\n60412 90642\n33330 50186\n71084 100000\n67061 100000\n43100 64792\n5004 7536\n30643 46158\n5449 8180\n37208 55961\n86496 100000\n64353 96521\n48432 72725\n58940 88417\n89800 100000\n79110 100000\n13521 20356\n20685 31157\n92827 100000\n50362 75605\n28221 42493\n85731 100000\n61567 92364\n48873 73378\n14271 21477\n65522 98287\n23356 35198\n69118 100000\n4020 6064\n57369 86068\n41743 62775\n5259 7905\n19020 28652\n97967 100000\n31967 48142\n61507 92278\n12677 19081\n73768 100000\n14715 22151\n89095 100000\n85127 100000\n75317 100000\n49796 74770\n744 1116\n19086 28746\n15484 23327\n64964 97432\n30004 45200\n71203 100000\n2472 3736\n31504 47451\n81118 100000\n30085 45327\n79181 100000\n1926 2905\n41917 63036\n86562 100000\n63552 95321\n30944 46596\n73761 100000\n48803 73278\n59559 89353\n66856 100000\n16226 24449\n28827 43408\n57735 86600\n2208 3344\n95756 100000\n88198 100000\n65707 98553\n67024 100000\n59479 89232\n68841 100000\n45511 68381\n50192 75360\n87255 100000\n55147 82746\n68843 100000\n75370 100000\n93038 100000\n29563 44521\n31350 47214\n28681 43184\n82982 100000\n40379 60732\n16749 25221\n48559 72919\n89585 100000\n15362 23148\n81290 100000\n82713 100000\n54661 82006\n73228 100000\n55134 82726\n95533 100000\n50961 76500\n62080 93130\n39983 60141\n63612 95418\n17908 26979\n95977 100000\n97162 100000\n51457 77232\n48689 73106\n34287 51613\n72286 100000\n6217 9339\n35502 53404\n67242 100000\n7608 11432\n30820 46415\n9007 13533\n37666 56641\n22651 34122\n",
        "output": "29\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 104,
        "task_id": 541,
        "test_case_id": 37,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 99999\n22225 33389\n83449 100000\n64120 96171\n129 185\n16424 24662\n81015 100000\n46752 69997\n51906 77749\n93086 100000\n61300 91905\n4583 6921\n4591 6933\n87027 100000\n50230 75255\n76350 100000\n96066 100000\n17508 26288\n13293 20014\n47898 71725\n50164 75156\n38307 57346\n49123 73594\n19468 29254\n93321 100000\n97295 100000\n26472 39709\n73736 100000\n84136 100000\n71553 100000\n58134 87135\n88208 100000\n26315 39479\n9243 13905\n67355 100000\n36284 54330\n52964 79330\n76002 100000\n83653 100000\n68306 100000\n90958 100000\n2761 4179\n10496 15791\n90002 100000\n68378 100000\n97804 100000\n30068 45051\n96038 100000\n31674 47453\n55795 83590\n85945 100000\n8488 12766\n53152 79611\n45305 67821\n36134 54099\n82916 100000\n48026 71916\n26120 39185\n81271 100000\n12946 19491\n65403 98111\n24694 37058\n87473 100000\n99620 100000\n9565 14383\n8128 12232\n86815 100000\n9617 14459\n60786 91136\n79979 100000\n12303 18519\n90448 100000\n11230 16925\n50992 76398\n32638 48886\n66373 99553\n56509 84672\n36576 54773\n21271 31943\n70239 100000\n17467 26225\n50233 75259\n65358 98046\n99715 100000\n87983 100000\n26040 39065\n61316 91927\n96476 100000\n91163 100000\n67827 100000\n91512 100000\n79541 100000\n38992 58370\n58139 87144\n97412 100000\n82673 100000\n88527 100000\n59589 89340\n98191 100000\n42300 63350\n98757 100000\n16284 24459\n83128 100000\n36794 55094\n69736 100000\n94997 100000\n81651 100000\n1697 2549\n91789 100000\n38744 57982\n69135 100000\n85287 100000\n24007 36026\n33664 50444\n1531 2291\n96211 100000\n6805 10280\n14208 21386\n67309 100000\n16495 24771\n93527 100000\n25401 38101\n40787 61066\n52709 78946\n54198 81193\n93315 100000\n35772 53547\n32580 48795\n30908 46309\n54822 82125\n8358 12580\n45298 67813\n80951 100000\n39325 58863\n95534 100000\n71294 100000\n7929 11943\n98192 100000\n5817 8781\n48994 73395\n56998 85420\n46781 70040\n28225 42326\n37097 55541\n82054 100000\n12912 19438\n74487 100000\n5028 7588\n56142 84122\n42444 63566\n56944 85333\n76154 100000\n15489 23283\n2672 4045\n46718 69951\n98615 100000\n37030 55437\n48518 72668\n90442 100000\n92511 100000\n43045 64452\n94092 100000\n72867 100000\n41367 61943\n62232 93327\n61642 92426\n69695 100000\n64794 97189\n78490 100000\n81246 100000\n59195 88725\n89167 100000\n97632 100000\n14331 21568\n5638 8499\n83066 100000\n77177 100000\n19287 28981\n36255 54283\n69147 100000\n41576 62260\n42214 63222\n41168 61647\n36944 55310\n46304 69327\n10052 15123\n31138 46647\n98868 100000\n47867 71674\n7308 11011\n8771 13194\n39786 59547\n34081 51063\n55634 83351\n44035 65910\n12963 19515\n40374 60447\n70315 100000\n83018 100000\n41279 61818\n87015 100000\n48918 73285\n2798 4228\n81698 100000\n71133 100000\n31559 47276\n66258 99381\n73802 100000\n68832 100000\n24579 36885\n51037 76465\n21808 32752\n20561 30894\n81226 100000\n31721 47524\n14235 21424\n16998 25518\n42964 64335\n94454 100000\n19776 29703\n83206 100000\n5646 8511\n91060 100000\n71689 100000\n54361 81438\n47956 71809\n52708 78944\n476 711\n95108 100000\n22157 33279\n80959 100000\n82142 100000\n9749 14661\n83613 100000\n12101 18207\n54003 80900\n87570 100000\n53207 79689\n64454 96672\n48922 73290\n4718 7124\n70241 100000\n9646 14504\n27533 41282\n74298 100000\n38635 57826\n50138 75118\n74842 100000\n95873 100000\n1244 1864\n55711 83464\n71885 100000\n67017 100000\n34508 51694\n39941 59794\n77861 100000\n70296 100000\n72151 100000\n64965 97454\n42031 62942\n63705 95543\n540 807\n34760 52056\n18519 27800\n30732 46057\n49423 74058\n80603 100000\n94032 100000\n82192 100000\n59345 88961\n99553 100000\n31660 47429\n31867 47741\n77147 100000\n42133 63096\n17914 26893\n71007 100000\n71577 100000\n41971 62853\n60280 90374\n59989 89942\n47445 71042\n64119 96170\n36268 54303\n51362 76959\n59654 89436\n2160 3267\n92532 100000\n2488 3771\n32205 48236\n99342 100000\n79166 100000\n81473 100000\n30230 45296\n39478 59083\n84341 100000\n96782 100000\n59731 89557\n85583 100000\n64651 96971\n14128 21269\n74237 100000\n50869 76210\n51239 76773\n29092 43607\n78378 100000\n2108 3184\n51487 77143\n13394 20163\n39723 59447\n45332 67864\n19803 29745\n61002 91451\n1956 2954\n49554 74245\n36334 54404\n14478 21776\n82281 100000\n90508 100000\n1886 2848\n16714 25086\n35563 53247\n53758 80529\n29434 44108\n11218 16905\n11268 16980\n3514 5302\n95403 100000\n75033 100000\n86191 100000\n70460 100000\n2268 3432\n87793 100000\n9984 15018\n34440 51595\n60507 90721\n47977 71842\n49374 73977\n70329 100000\n65151 97739\n74162 100000\n52809 79103\n81924 100000\n34621 51849\n92079 100000\n66581 99873\n2660 4027\n97371 100000\n70677 100000\n41897 62749\n28567 42831\n79715 100000\n20945 31466\n49889 74757\n566 848\n73793 100000\n68720 100000\n93788 100000\n16143 24241\n3311 5006\n2378 3605\n57835 86679\n35001 52407\n84993 100000\n53468 80087\n48431 72540\n58685 87953\n11123 16754\n38944 58293\n3891 5858\n96218 100000\n87126 100000\n48072 71991\n84974 100000\n29276 43871\n46822 70099\n65426 98145\n54871 82196\n41353 61924\n95190 100000\n9474 14246\n40728 60976\n95058 100000\n37531 56183\n71738 100000\n25672 38515\n74458 100000\n4848 7321\n29116 43641\n10731 16155\n29536 44254\n5380 8120\n49098 73556\n84560 100000\n25780 38680\n81400 100000\n84344 100000\n51729 77491\n53764 80541\n33693 50480\n5730 8640\n1172 1758\n26432 39650\n85129 100000\n53335 79885\n76948 100000\n52368 78436\n46051 68938\n63075 94591\n70309 100000\n3157 4780\n19178 28816\n71348 100000\n41255 61783\n77551 100000\n76101 100000\n35430 53044\n32385 48499\n66248 99368\n59108 88592\n90165 100000\n42878 64204\n15562 23391\n84437 100000\n29779 44618\n92237 100000\n76731 100000\n55822 83632\n56255 84290\n84471 100000\n30529 45748\n55100 82542\n9134 13732\n45753 68495\n16919 25400\n55638 83358\n11999 18056\n34962 52353\n51591 77294\n98962 100000\n64262 96389\n36787 55084\n46116 69036\n31963 47885\n165 241\n59073 88537\n89850 100000\n29235 43807\n53203 79683\n15126 22747\n17116 25688\n21627 32485\n40598 60786\n42014 62915\n62997 94480\n15702 23594\n90810 100000\n22346 33564\n4290 6478\n68119 100000\n79720 100000\n97481 100000\n87623 100000\n24242 36374\n83210 100000\n49562 74255\n24901 37358\n58107 87093\n82465 100000\n37120 55575\n81823 100000\n33281 49862\n89615 100000\n89162 100000\n8645 13005\n31579 47302\n39288 58804\n44545 66681\n4590 6931\n72828 100000\n55009 82398\n32331 48424\n60109 90117\n58657 87909\n62170 93235\n66225 99335\n38368 57444\n94209 100000\n48329 72381\n3689 5556\n1867 2818\n69056 100000\n21876 32856\n9649 14508\n68640 100000\n22015 33061\n49543 74231\n16507 24789\n47015 70387\n92278 100000\n94781 100000\n67794 100000\n97137 100000\n20398 30651\n89049 100000\n16675 25025\n62249 93354\n11221 16910\n42641 63851\n24170 36273\n39629 59306\n91459 100000\n61629 92408\n5166 7802\n99436 100000\n58045 87000\n60496 90704\n17169 25773\n36419 54539\n11173 16838\n3429 5178\n80652 100000\n46027 68904\n73811 100000\n94321 100000\n58260 87322\n28666 42977\n27003 40476\n7159 10792\n24787 37184\n88597 100000\n26485 39726\n53597 80280\n67046 100000\n5751 8672\n97555 100000\n84713 100000\n78396 100000\n56204 84215\n70867 100000\n62444 93655\n92088 100000\n43099 64534\n83304 100000\n71266 100000\n1625 2435\n75189 100000\n96940 100000\n5853 8837\n99545 100000\n66470 99701\n53019 79412\n21478 32257\n69335 100000\n5080 7672\n28986 43448\n69140 100000\n65201 97816\n88040 100000\n93136 100000\n53968 80847\n6505 9818\n15280 22975\n7810 11763\n87625 100000\n38788 58056\n72366 100000\n21787 32719\n94939 100000\n77962 100000\n67758 100000\n8971 13494\n73722 100000\n9183 13810\n82543 100000\n46996 70357\n86277 100000\n78968 100000\n9590 14418\n79578 100000\n62089 93111\n28616 42906\n58230 87274\n76783 100000\n33654 50428\n56164 84155\n5269 7953\n9084 13648\n52875 79201\n18267 27426\n18036 27077\n87085 100000\n14223 21408\n57448 86091\n50145 75130\n2040 3080\n75321 100000\n59297 88886\n36501 54666\n79840 100000\n16354 24557\n70159 100000\n35199 52690\n47117 70540\n4994 7540\n95760 100000\n48425 72530\n94281 100000\n16545 24847\n32666 48927\n40444 60553\n79672 100000\n12058 18145\n53070 79495\n82601 100000\n79110 100000\n96522 100000\n81957 100000\n78927 100000\n84320 100000\n77521 100000\n79327 100000\n67503 100000\n63304 94936\n7095 10697\n68480 100000\n12036 18111\n92670 100000\n58663 87918\n94966 100000\n62357 93511\n77163 100000\n48315 72358\n79261 100000\n53515 80154\n90040 100000\n63672 95495\n76165 100000\n14377 21636\n28031 42027\n73163 100000\n93353 100000\n36953 55321\n23885 35842\n73977 100000\n9065 13620\n38549 57707\n86307 100000\n55499 83147\n51133 76609\n8315 12516\n77442 100000\n67453 100000\n21484 32266\n41659 62386\n55676 83412\n88403 100000\n88285 100000\n38781 58044\n85068 100000\n67585 100000\n99695 100000\n38429 57533\n14413 21687\n74827 100000\n83040 100000\n22150 33271\n77747 100000\n42293 63339\n95442 100000\n15189 22844\n16028 24068\n8378 12607\n23469 35230\n20417 30679\n95141 100000\n70177 100000\n65877 98816\n98604 100000\n10556 15885\n80195 100000\n74285 100000\n32813 49158\n47186 70647\n67360 100000\n9533 14335\n33764 50582\n39840 59639\n27845 41745\n68162 100000\n32340 48439\n91640 100000\n87323 100000\n51184 76692\n8949 13457\n1436 2146\n46456 69552\n11901 17910\n86291 100000\n49119 73587\n59775 89624\n98748 100000\n66256 99379\n10406 15660\n83943 100000\n30648 45933\n58889 88264\n53560 80224\n67350 100000\n26303 39461\n4509 6802\n36048 53968\n58972 88386\n20264 30448\n62800 94188\n84714 100000\n54256 81279\n71843 100000\n35967 53841\n32160 48170\n18614 27942\n44182 66134\n6703 10124\n81328 100000\n49214 73729\n53494 80122\n1617 2422\n57373 85978\n65290 97948\n93901 100000\n7583 11426\n57379 85986\n57360 85957\n56093 84050\n18145 27245\n71939 100000\n70842 100000\n71103 100000\n73966 100000\n96828 100000\n28712 43040\n49741 74529\n4619 6978\n33229 49780\n13834 20808\n13148 19790\n60849 91225\n21781 32711\n37960 56824\n97128 100000\n41072 61499\n55594 83289\n6187 9338\n47871 71680\n88699 100000\n85867 100000\n83724 100000\n5840 8816\n83373 100000\n24997 37500\n89363 100000\n52710 78948\n84738 100000\n64074 96104\n65418 98134\n22262 33445\n18300 27476\n22363 33593\n93119 100000\n48513 72660\n30377 45518\n9482 14259\n36821 55130\n14345 21588\n10450 15723\n12935 19472\n75482 100000\n8141 12249\n46652 69851\n31823 47676\n77332 100000\n47541 71182\n30474 45666\n33532 50237\n4939 7459\n91536 100000\n76018 100000\n50153 75141\n91346 100000\n14276 21483\n73702 100000\n63704 95542\n40011 59899\n32538 48730\n21201 31842\n7218 10881\n83621 100000\n99449 100000\n18900 28384\n69444 100000\n88368 100000\n99123 100000\n36841 55159\n62958 94425\n64899 97352\n82625 100000\n97853 100000\n28479 42696\n26206 39315\n63630 95428\n21500 32288\n42893 64226\n49499 74173\n88662 100000\n73915 100000\n76717 100000\n63701 95539\n13537 20370\n43190 64670\n10621 15984\n54639 81851\n86994 100000\n55106 82550\n14845 22332\n32719 49013\n84611 100000\n50607 75821\n56713 84989\n55107 82551\n37379 55954\n55246 82757\n68160 100000\n48197 72177\n73809 100000\n26534 39793\n20162 30287\n55395 82986\n14332 21569\n2347 3555\n20171 30301\n47805 71576\n89281 100000\n85517 100000\n74081 100000\n85548 100000\n76573 100000\n38923 58260\n84878 100000\n69164 100000\n12061 18149\n37218 55721\n89777 100000\n69640 100000\n21662 32534\n80899 100000\n57587 86316\n88087 100000\n81000 100000\n30881 46271\n26341 39516\n46183 69138\n80969 100000\n61215 91778\n17122 25695\n77278 100000\n3004 4552\n25729 38603\n36324 54389\n73944 100000\n30820 46183\n9160 13775\n41207 61708\n32768 49086\n38883 58203\n22395 33641\n70141 100000\n22240 33411\n76698 100000\n73854 100000\n72786 100000\n50932 76309\n75310 100000\n83739 100000\n13953 20991\n34799 52115\n14178 21345\n32773 49095\n2855 4318\n18333 27524\n77323 100000\n98714 100000\n29367 44009\n55485 83124\n28762 43113\n77906 100000\n46211 69180\n78834 100000\n24115 36186\n84458 100000\n72394 100000\n98229 100000\n36305 54360\n41580 62266\n45520 68150\n42248 63271\n75509 100000\n96338 100000\n31529 47230\n85308 100000\n85531 100000\n34035 50992\n50369 75466\n94548 100000\n52539 78706\n22077 33159\n79939 100000\n29789 44631\n89145 100000\n56861 85212\n88626 100000\n35955 53824\n59595 89349\n73388 100000\n91174 100000\n31834 47690\n75061 100000\n76962 100000\n60398 90553\n61793 92657\n9793 14729\n5323 8032\n92754 100000\n26449 39675\n90090 100000\n74137 100000\n36948 55314\n97795 100000\n51325 76900\n51768 77553\n35868 53692\n50117 75090\n92980 100000\n84853 100000\n17032 25567\n69334 100000\n42243 63265\n77216 100000\n58291 87370\n84397 100000\n69091 100000\n57748 86556\n34443 51599\n62833 94235\n69698 100000\n62874 94300\n29388 44036\n25409 38115\n69585 100000\n76314 100000\n86377 100000\n42150 63120\n7563 11399\n88788 100000\n23286 34958\n99623 100000\n65938 98910\n37755 56517\n80820 100000\n20964 31495\n24341 36530\n23301 34981\n65253 97893\n18303 27480\n48742 73018\n95423 100000\n62915 94358\n1633 2449\n83357 100000\n83671 100000\n6568 9913\n24730 37108\n48950 73327\n68625 100000\n94692 100000\n91778 100000\n32475 48635\n30917 46321\n65202 97817\n64993 97494\n29540 44261\n59423 89089\n96353 100000\n75237 100000\n68583 100000\n96737 100000\n38845 58146\n4633 6999\n85380 100000\n15460 23241\n95687 100000\n73483 100000\n58341 87442\n93799 100000\n64631 96939\n63449 95145\n50273 75319\n27290 40913\n57731 86530\n30617 45886\n41162 61638\n42575 63757\n71271 100000\n94396 100000\n38582 57752\n81919 100000\n37628 56326\n48075 71996\n87940 100000\n98985 100000\n3446 5204\n91740 100000\n7326 11037\n65794 98690\n84939 100000\n99651 100000\n44909 67242\n49399 74019\n94247 100000\n25159 37740\n90068 100000\n71190 100000\n28281 42407\n29955 44876\n43946 65778\n3312 5007\n5784 8729\n58296 87378\n54572 81754\n82208 100000\n99662 100000\n44072 65963\n51786 77576\n71764 100000\n41698 62449\n38511 57657\n83894 100000\n93131 100000\n37843 56646\n4225 6379\n43196 64679\n4341 6551\n70485 100000\n54138 81103\n21924 32924\n12823 19300\n24717 37090\n23327 35016\n77605 100000\n89107 100000\n95133 100000\n92853 100000\n78017 100000\n47921 71756\n6830 10318\n40966 61343\n80375 100000\n23167 34783\n43868 65663\n86606 100000\n35350 52921\n46910 70225\n17128 25707\n62675 93998\n12982 19543\n62150 93204\n37946 56802\n33600 50339\n88205 100000\n32765 49081\n9290 13972\n18107 27189\n14288 21499\n32417 48547\n32199 48226\n77292 100000\n7415 11169\n9142 13746\n19882 29870\n3444 5201\n90620 100000\n82946 100000\n33988 50923\n76246 100000\n32146 48150\n96833 100000\n27207 40789\n63394 95066\n7576 11418\n38534 57686\n40589 60772\n87853 100000\n94141 100000\n66558 99835\n46087 68996\n27400 41083\n82398 100000\n8392 12629\n90288 100000\n1283 1920\n97131 100000\n35230 52741\n13741 20673\n53274 79794\n19747 29660\n77097 100000\n91586 100000\n23690 35562\n93662 100000\n51706 77460\n62764 94136\n9562 14379\n57035 85472\n67894 100000\n38757 58004\n44098 66001\n46734 69973\n32709 48998\n45622 68302\n25540 38311\n11972 18012\n39148 58601\n40724 60972\n32891 49279\n69256 100000\n41186 61675\n15333 23056\n71580 100000\n94027 100000\n7735 11651\n25395 38091\n59488 89184\n38218 57212\n68961 100000\n44443 66526\n82590 100000\n77029 100000\n88192 100000\n11774 17732\n38099 57034\n108 157\n79755 100000\n12644 19036\n75462 100000\n54255 81277\n31034 46491\n52143 78094\n29472 44163\n95887 100000\n56459 84596\n61286 91887\n6313 9523\n25133 37704\n65754 98630\n80527 100000\n19800 29740\n56605 84826\n5120 7734\n58803 88135\n68691 100000\n10949 16488\n78604 100000\n99597 100000\n49609 74330\n18477 27737\n98872 100000\n73121 100000\n38810 58088\n18122 27212\n49384 73994\n21229 31882\n26129 39198\n50464 75598\n34758 52053\n41777 62568\n64309 96462\n74302 100000\n27382 41058\n29629 44402\n17832 26773\n26244 39376\n94340 100000\n27494 41225\n29449 44130\n35387 52974\n21583 32415\n25884 38838\n72669 100000\n76123 100000\n22580 33911\n32923 49326\n42016 62917\n539 806\n39916 59755\n89968 100000\n7916 11922\n17345 26038\n70808 100000\n74544 100000\n68155 100000\n62354 93507\n61690 92500\n91890 100000\n11117 16747\n37748 56506\n40092 60024\n29246 43822\n54180 81166\n50841 76172\n70068 100000\n26930 40371\n70446 100000\n8197 12336\n83190 100000\n16972 25476\n34941 52321\n21940 32951\n54345 81414\n46284 69299\n74354 100000\n23894 35854\n42376 63469\n42341 63412\n46907 70221\n32986 49415\n27278 40893\n40523 60672\n13177 19834\n27501 41235\n85061 100000\n51795 77591\n23057 34622\n23799 35719\n57952 86861\n295 440\n99326 100000\n96007 100000\n32041 47995\n22248 33423\n42588 63775\n61912 92837\n32106 48091\n32540 48732\n85579 100000\n62601 93885\n57753 86562\n66385 99568\n33117 49610\n89091 100000\n94014 100000\n28477 42693\n40417 60510\n18153 27255\n26986 40451\n49553 74244\n65978 98964\n75868 100000\n4408 6650\n52872 79196\n12633 19020\n69631 100000\n32932 49340\n8514 12807\n283 420\n101 149\n6430 9699\n58898 88277\n26217 39333\n72561 100000\n68550 100000\n51808 77611\n27183 40750\n98294 100000\n75383 100000\n1177 1766\n98138 100000\n48306 72346\n28861 43262\n15759 23682\n41026 61431\n49485 74148\n83500 100000\n74186 100000\n12456 18751\n61960 92921\n21731 32635\n6675 10075\n43966 65806\n52012 77902\n56396 84501\n20322 30530\n95527 100000\n19457 29238\n96137 100000\n67708 100000\n7338 11053\n22107 33206\n94215 100000\n44887 67210\n47098 70511\n29635 44408\n48231 72230\n78426 100000\n30274 45366\n72785 100000\n15343 23072\n57894 86772\n9933 14941\n37810 56605\n90578 100000\n30897 46293\n13481 20287\n98632 100000\n93740 100000\n25725 38596\n12240 18423\n65627 98439\n71068 100000\n31452 47115\n2759 4176\n72046 100000\n33184 49710\n95603 100000\n25069 37612\n14607 21969\n42583 63768\n36705 54966\n31251 46825\n82414 100000\n3615 5450\n21815 32764\n51862 77685\n13275 19985\n65606 98406\n9469 14239\n54247 81265\n16595 24914\n2142 3237\n857 1274\n19092 28680\n44421 66498\n97720 100000\n99801 100000\n2752 4167\n88407 100000\n88303 100000\n60445 90623\n767 1146\n96204 100000\n20532 30849\n10516 15822\n25024 37545\n9754 14669\n76538 100000\n39081 58503\n64710 97060\n36503 54669\n40608 60801\n3603 5433\n26304 39463\n40807 61097\n3026 4587\n74561 100000\n57512 86193\n70083 100000\n5732 8643\n29203 43759\n73758 100000\n28493 42715\n61618 92390\n13683 20592\n19563 29389\n36983 55369\n83179 100000\n3628 5470\n38396 57488\n89064 100000\n86262 100000\n14270 21474\n65375 98069\n61091 91591\n52310 78353\n62391 93564\n83898 100000\n27122 40658\n84668 100000\n43215 64708\n25053 37587\n66560 99838\n13792 20743\n39391 58959\n2377 3603\n15575 23411\n67796 100000\n1874 2829\n12294 18504\n1108 1662\n67161 100000\n11449 17245\n71840 100000\n28995 43461\n19906 29909\n12028 18098\n56032 83954\n80831 100000\n37355 55921\n69320 100000\n97162 100000\n17888 26857\n31090 46572\n14760 22204\n22391 33634\n41110 61556\n98068 100000\n42281 63320\n89336 100000\n91791 100000\n66018 99022\n20714 31122\n42103 63050\n3115 4717\n66012 99015\n33482 50162\n47279 70792\n92476 100000\n23907 35874\n23590 35414\n24259 36403\n84370 100000\n23693 35566\n32942 49353\n68795 100000\n1465 2187\n27127 40666\n67934 100000\n44821 67107\n55610 83311\n58041 86994\n23826 35758\n38766 58018\n20195 30343\n97760 100000\n95664 100000\n89092 100000\n25083 37633\n42983 64366\n91271 100000\n73112 100000\n45799 68565\n50069 75022\n80165 100000\n56893 85258\n70158 100000\n40173 60149\n78118 100000\n66366 99544\n19718 29617\n59781 89632\n89761 100000\n42066 62996\n92077 100000\n22570 33896\n35000 52406\n13338 20077\n36411 54524\n44439 66521\n24559 36853\n32950 49365\n65859 98787\n88818 100000\n27721 41558\n71428 100000\n15220 22885\n38453 57567\n47700 71417\n71126 100000\n61596 92361\n89583 100000\n75924 100000\n15815 23765\n66630 99945\n11213 16898\n92635 100000\n59267 88836\n49914 74789\n96700 100000\n42430 63544\n79638 100000\n17152 25746\n56949 85342\n31864 47738\n50786 76091\n54386 81471\n97731 100000\n30178 45215\n39164 58627\n93057 100000\n12390 18649\n69333 100000\n27644 41447\n8160 12277\n1557 2331\n25666 38505\n88555 100000\n90425 100000\n75325 100000\n3454 5215\n8954 13466\n82678 100000\n22798 34233\n78833 100000\n57510 86189\n28182 42265\n17745 26645\n50822 76143\n63997 95982\n43098 64532\n9772 14696\n78156 100000\n86431 100000\n56512 84677\n49484 74147\n60761 91102\n16122 24212\n71945 100000\n81863 100000\n17040 25578\n58993 88417\n2492 3777\n69896 100000\n45350 67890\n21349 32060\n33343 49950\n73708 100000\n6013 9082\n62663 93979\n45118 67548\n14651 22038\n57680 86451\n83420 100000\n14551 21887\n25114 37677\n62325 93466\n49729 74511\n78446 100000\n54836 82147\n10911 16432\n71613 100000\n23454 35207\n49621 74346\n20316 30521\n70623 100000\n74293 100000\n73715 100000\n50409 75520\n33861 50726\n25210 37816\n86040 100000\n47281 70795\n26422 39638\n72960 100000\n92645 100000\n84287 100000\n6570 9915\n13302 20027\n24305 36472\n9544 14353\n95665 100000\n73995 100000\n27801 41681\n38953 58308\n74386 100000\n11769 17725\n41676 62414\n66161 99237\n27782 41650\n59320 88922\n15518 23327\n98580 100000\n32687 48960\n8019 12078\n68116 100000\n26402 39607\n23424 35160\n54987 82365\n28264 42381\n35159 52636\n60070 90064\n46962 70302\n8428 12680\n11345 17096\n52159 78115\n8529 12831\n14267 21470\n84082 100000\n88079 100000\n38434 57540\n77908 100000\n88261 100000\n2775 4196\n4511 6805\n47343 70888\n25524 38287\n34961 52351\n94898 100000\n3482 5258\n50959 76348\n92682 100000\n20367 30599\n35072 52513\n73934 100000\n11433 17223\n88024 100000\n73906 100000\n86159 100000\n8421 12670\n42846 64158\n42340 63410\n42245 63267\n73302 100000\n29668 44450\n13790 20741\n13013 19591\n12777 19235\n10875 16373\n52689 78918\n61588 92349\n48973 73365\n39410 58992\n41487 62130\n65420 98138\n60042 90024\n79472 100000\n87406 100000\n52801 79088\n52576 78758\n95342 100000\n31772 47597\n80849 100000\n46720 69954\n5360 8090\n88498 100000\n1808 2727\n21377 32105\n83843 100000\n65687 98523\n90396 100000\n90592 100000\n95529 100000\n89380 100000\n76520 100000\n22239 33410\n40609 60803\n3091 4681\n99748 100000\n48399 72490\n9925 14931\n36083 54021\n29043 43535\n36761 55048\n31832 47688\n15773 23702\n57320 85902\n16782 25192\n79944 100000\n57869 86733\n61756 92600\n46897 70204\n15613 23463\n47595 71264\n64838 97258\n39719 59441\n1819 2744\n10108 15210\n87822 100000\n82273 100000\n67099 100000\n28303 42438\n93870 100000\n29608 44370\n59970 89913\n49151 73634\n60844 91219\n97605 100000\n74169 100000\n28237 42342\n27294 40918\n55270 82793\n98337 100000\n68467 100000\n44814 67098\n18509 27786\n48623 72832\n60551 90784\n54214 81216\n94322 100000\n63866 95797\n97865 100000\n13785 20734\n67108 100000\n82401 100000\n85642 100000\n82727 100000\n75697 100000\n33839 50695\n66671 100000\n33489 50174\n81526 100000\n89200 100000\n61959 92920\n74688 100000\n78362 100000\n42295 63343\n75316 100000\n83059 100000\n27640 41439\n2800 4231\n73999 100000\n88212 100000\n57511 86191\n21918 32915\n12938 19478\n54720 81974\n31636 47394\n22058 33128\n32960 49379\n22115 33218\n50701 75963\n987 1480\n75206 100000\n75537 100000\n13092 19702\n31381 47015\n56317 84381\n5491 8286\n76474 100000\n37415 56010\n95348 100000\n67009 100000\n7876 11861\n69573 100000\n62368 93528\n82637 100000\n35138 52606\n12348 18585\n32611 48846\n39897 59726\n82161 100000\n97718 100000\n17297 25963\n38141 57094\n2591 3926\n99349 100000\n41905 62760\n65944 98918\n61601 92368\n83618 100000\n82172 100000\n68352 100000\n38654 57851\n90314 100000\n18340 27533\n56421 84543\n55716 83472\n25814 38731\n1779 2680\n56021 83935\n33755 50568\n72354 100000\n57743 86550\n43167 64635\n76612 100000\n89564 100000\n2055 3103\n56907 85279\n67785 100000\n74115 100000\n74773 100000\n71031 100000\n92653 100000\n43459 65065\n65234 97864\n20691 31086\n68884 100000\n56991 85409\n67469 100000\n94779 100000\n54351 81421\n64528 96788\n2993 4534\n69133 100000\n86518 100000\n78934 100000\n10370 15606\n78247 100000\n87487 100000\n83250 100000\n96497 100000\n86335 100000\n88689 100000\n55962 83846\n39645 59330\n51149 76636\n48520 72671\n51513 77185\n96569 100000\n30597 45857\n99386 100000\n80516 100000\n97092 100000\n42097 63043\n93902 100000\n95326 100000\n84100 100000\n20924 31436\n74539 100000\n97981 100000\n26364 39549\n71911 100000\n81476 100000\n5946 8984\n93436 100000\n59233 88783\n60348 90474\n37257 55781\n22786 34216\n52038 77940\n10296 15492\n51930 77782\n80655 100000\n95249 100000\n35194 52684\n25517 38278\n46408 69477\n7615 11472\n19084 28665\n24266 36414\n4181 6315\n11220 16908\n89154 100000\n41419 62024\n88721 100000\n70067 100000\n21612 32461\n99996 100000\n63349 95000\n62648 93958\n91573 100000\n79194 100000\n45201 67671\n76495 100000\n52798 79084\n8232 12389\n43515 65149\n97894 100000\n92260 100000\n75149 100000\n37790 56574\n96682 100000\n36835 55151\n40244 60250\n17934 26924\n92972 100000\n12939 19480\n19433 29201\n90838 100000\n20213 30370\n29332 43955\n93006 100000\n2290 3463\n22829 34281\n1678 2518\n50487 75636\n66401 99590\n49671 74421\n96293 100000\n8177 12306\n18328 27517\n50167 75160\n33739 50545\n26157 39242\n57372 85976\n65582 98369\n99494 100000\n32770 49090\n26909 40344\n56416 84534\n28651 42955\n69821 100000\n23480 35248\n19058 28624\n73234 100000\n91926 100000\n51664 77397\n9171 13793\n77828 100000\n73425 100000\n93981 100000\n70928 100000\n97372 100000\n95645 100000\n53352 79913\n1445 2159\n67347 100000\n69945 100000\n48949 73326\n67505 100000\n35872 53699\n68912 100000\n48996 73398\n87468 100000\n3410 5152\n66323 99483\n70326 100000\n78372 100000\n97899 100000\n30719 46037\n1636 2452\n81036 100000\n31639 47397\n12530 18864\n99887 100000\n18044 27089\n64978 97473\n84715 100000\n16542 24841\n35440 53058\n28256 42368\n37016 55416\n73067 100000\n95990 100000\n76363 100000\n70571 100000\n82457 100000\n54756 82032\n57849 86700\n23152 34762\n90110 100000\n62647 93956\n28412 42598\n48993 73394\n78104 100000\n65153 97743\n91549 100000\n45682 68389\n29685 44473\n44257 66250\n575 862\n21354 32068\n92819 100000\n84240 100000\n65147 97733\n86996 100000\n9102 13679\n72329 100000\n54224 81232\n96714 100000\n83511 100000\n39517 59141\n13358 20111\n8460 12726\n68732 100000\n65785 98679\n25777 38675\n45135 67571\n96175 100000\n6071 9164\n99617 100000\n21856 32826\n20703 31104\n22181 33317\n31922 47826\n75797 100000\n83309 100000\n79487 100000\n62998 94481\n61489 92195\n65933 98904\n78010 100000\n89341 100000\n33223 49772\n49152 73636\n4132 6235\n51448 77087\n736 1098\n40750 61006\n74292 100000\n35078 52523\n64333 96498\n61552 92293\n25233 37853\n81334 100000\n40962 61337\n88011 100000\n57207 85723\n6384 9633\n24032 36062\n62033 93028\n91878 100000\n99099 100000\n5299 7997\n88034 100000\n71142 100000\n11215 16901\n90473 100000\n89551 100000\n34950 52334\n37403 55990\n44046 65926\n19036 28589\n62940 94398\n28767 43122\n51496 77161\n62586 93863\n90740 100000\n35844 53656\n99587 100000\n13552 20395\n4184 6320\n35264 52792\n37488 56121\n67234 100000\n98515 100000\n76702 100000\n62429 93628\n8086 12175\n2448 3715\n59372 89004\n83628 100000\n66530 99795\n26959 40413\n96534 100000\n65700 98543\n27879 41793\n24016 36040\n50321 75392\n91854 100000\n23637 35482\n32134 48132\n42606 63800\n28786 43150\n2966 4493\n25765 38657\n34926 52297\n72608 100000\n79456 100000\n55976 83865\n67613 100000\n77281 100000\n7904 11902\n52274 78296\n55888 83733\n6609 9975\n32275 48344\n33852 50713\n9491 14273\n532 794\n6787 10252\n29513 44221\n46253 69250\n95458 100000\n27228 40819\n62352 93504\n19723 29625\n82669 100000\n97565 100000\n62340 93486\n90188 100000\n79962 100000\n73051 100000\n77611 100000\n34719 51994\n64808 97213\n96827 100000\n62087 93108\n41511 62161\n58955 88358\n84444 100000\n10445 15718\n47623 71304\n63404 95079\n29873 44760\n42312 63366\n26557 39829\n91551 100000\n94842 100000\n60429 90598\n93990 100000\n67858 100000\n54667 81898\n67031 100000\n24319 36495\n67522 100000\n88986 100000\n43027 64425\n8319 12521\n92302 100000\n28069 42087\n32940 49351\n94279 100000\n89803 100000\n3936 5931\n89657 100000\n96676 100000\n90474 100000\n72452 100000\n69593 100000\n38752 57996\n24815 37223\n49509 74187\n27577 41348\n79589 100000\n15205 22867\n44931 67275\n97084 100000\n2239 3388\n99214 100000\n11898 17906\n1989 3003\n31535 47238\n97312 100000\n4685 7076\n46555 69712\n49167 73659\n96739 100000\n24274 36427\n35280 52817\n20471 30761\n46653 69853\n23696 35569\n58159 87174\n8190 12327\n46248 69241\n54448 81565\n94232 100000\n6094 9194\n44567 66716\n32107 48093\n56158 84146\n9822 14776\n50552 75740\n57985 86910\n91035 100000\n39778 59532\n98247 100000\n30507 45716\n87297 100000\n33921 50819\n22113 33216\n82176 100000\n18752 28146\n18194 27315\n81544 100000\n49365 73961\n62910 94351\n54137 81101\n65798 98696\n59971 89915\n60677 90978\n16794 25214\n78004 100000\n97216 100000\n9078 13640\n41101 61543\n10622 15986\n34969 52361\n30786 46133\n44148 66083\n66613 99919\n92396 100000\n68034 100000\n31947 47861\n83906 100000\n91921 100000\n42183 63174\n73807 100000\n11577 17436\n41225 61737\n42697 63938\n11540 17381\n71786 100000\n44050 65931\n26792 40169\n83391 100000\n77267 100000\n21767 32689\n88772 100000\n76011 100000\n63292 94919\n51650 77377\n89498 100000\n77454 100000\n37676 56397\n58869 88233\n28020 42009\n92981 100000\n10530 15842\n88639 100000\n95746 100000\n64282 96420\n37692 56422\n80884 100000\n20533 30851\n26291 39445\n36964 55340\n30794 46146\n24183 36290\n47989 71864\n44361 66408\n3623 5463\n76509 100000\n86539 100000\n43563 65218\n8620 12971\n36735 55012\n28845 43239\n49622 74347\n37654 56364\n9191 13823\n19748 29661\n67027 100000\n45781 68535\n63731 95586\n84684 100000\n51215 76735\n45715 68436\n4786 7229\n12807 19276\n44499 66615\n9244 13906\n43472 65086\n48472 72601\n56784 85095\n93625 100000\n10965 16509\n91429 100000\n17037 25574\n27373 41044\n81824 100000\n66596 99894\n44154 66091\n35970 53847\n28671 42985\n66080 99117\n48793 73098\n48445 72559\n44405 66474\n38287 57314\n13458 20255\n13697 20611\n97416 100000\n20737 31161\n30685 45992\n59888 89792\n49771 74570\n75883 100000\n50086 75046\n15605 23452\n72628 100000\n43082 64511\n98826 100000\n67738 100000\n49223 73743\n8171 12295\n54860 82181\n71519 100000\n34380 51509\n32045 48001\n4150 6262\n51018 76438\n64553 96823\n41412 62015\n48594 72786\n97104 100000\n68999 100000\n19929 29946\n66154 99227\n86424 100000\n40435 60539\n19568 29398\n75139 100000\n37650 56357\n59518 89231\n12542 18885\n18170 27278\n14541 21871\n66210 99311\n6221 9386\n4797 7243\n2853 4314\n44319 66344\n82978 100000\n64179 96262\n10051 15122\n48370 72446\n79185 100000\n69609 100000\n58084 87061\n49552 74243\n80924 100000\n4541 6852\n76534 100000\n49334 73910\n53779 80562\n8670 13044\n15457 23238\n56448 84580\n31483 47159\n96339 100000\n46012 68880\n88217 100000\n10077 15161\n8070 12153\n73548 100000\n12928 19461\n74776 100000\n52543 78711\n58458 87617\n40631 60836\n97335 100000\n76971 100000\n60745 91081\n41772 62559\n50867 76208\n91759 100000\n76582 100000\n36796 55097\n9252 13919\n21026 31580\n60242 90313\n18639 27979\n38274 57296\n61243 91821\n54588 81774\n36746 55025\n52965 79332\n45279 67788\n9856 14829\n26551 39819\n43427 65022\n76680 100000\n44734 66980\n80341 100000\n3544 5347\n88093 100000\n32815 49162\n45574 68230\n19235 28904\n66034 99045\n21547 32362\n53242 79745\n64142 96203\n11426 17213\n1128 1692\n45259 67755\n89662 100000\n40382 60459\n79007 100000\n85942 100000\n9208 13850\n68302 100000\n63065 94575\n67428 100000\n57578 86302\n60635 90914\n34803 52120\n27683 41505\n64872 97311\n22050 33116\n25597 38401\n67905 100000\n62930 94382\n47119 70543\n30438 45614\n75812 100000\n63250 94856\n80436 100000\n69307 100000\n45301 67817\n20523 30833\n52407 78494\n6089 9188\n88258 100000\n50367 75462\n32892 49281\n20538 30858\n30004 44952\n37460 56079\n48162 72121\n98 144\n88102 100000\n14898 22414\n83042 100000\n96728 100000\n98934 100000\n33062 49530\n52774 79045\n14738 22170\n6277 9467\n25945 38926\n2854 4316\n51554 77243\n96366 100000\n19821 29774\n33516 50212\n33250 49815\n9235 13893\n98525 100000\n83335 100000\n58843 88195\n76488 100000\n94125 100000\n33611 50359\n87069 100000\n36552 54738\n32543 48737\n40524 60674\n69845 100000\n20808 31264\n17441 26186\n96197 100000\n18858 28318\n44115 66030\n59141 88642\n86155 100000\n34320 51419\n7685 11576\n95683 100000\n77031 100000\n31280 46865\n81112 100000\n46422 69498\n24821 37231\n19626 29490\n72283 100000\n42373 63465\n85037 100000\n67359 100000\n53731 80483\n98626 100000\n90693 100000\n98183 100000\n65598 98392\n21709 32603\n17844 26791\n33798 50632\n94446 100000\n76137 100000\n27837 41735\n68699 100000\n64533 96796\n30138 45157\n29755 44583\n19958 29986\n61809 92678\n52666 78886\n12878 19385\n778 1164\n69671 100000\n94701 100000\n24838 37259\n86768 100000\n43684 65395\n93316 100000\n41269 61801\n8332 12542\n77088 100000\n95150 100000\n31746 47562\n65419 98136\n52439 78549\n79620 100000\n61031 91497\n76584 100000\n44171 66118\n1816 2740\n11322 17064\n98997 100000\n47990 71865\n75141 100000\n77654 100000\n24642 36979\n75564 100000\n14434 21715\n8348 12565\n69359 100000\n80381 100000\n51368 76967\n19644 29515\n1065 1598\n19633 29500\n24831 37249\n89941 100000\n39969 59835\n40804 61093\n24260 36405\n73747 100000\n28664 42973\n17740 26637\n54104 81059\n93987 100000\n24 36\n9484 14263\n92467 100000\n39129 58577\n37899 56731\n90064 100000\n71673 100000\n47489 71105\n30395 45550\n50703 75966\n18345 27540\n89262 100000\n15152 22789\n20095 30189\n64863 97294\n67841 100000\n18996 28529\n71992 100000\n45195 67662\n6445 9724\n47066 70465\n2773 4194\n64476 96704\n86556 100000\n42158 63133\n28562 42822\n30295 45400\n38835 58129\n14559 21898\n11778 17738\n80510 100000\n85753 100000\n87497 100000\n46159 69102\n83080 100000\n59867 89760\n41228 61741\n7051 10634\n45661 68359\n93202 100000\n45104 67530\n76298 100000\n32084 48060\n94122 100000\n52087 78016\n50449 75573\n63721 95569\n38794 58063\n56546 84730\n87997 100000\n73305 100000\n96871 100000\n51742 77512\n41194 61688\n20323 30532\n44118 66035\n15367 23109\n6521 9844\n10287 15480\n77562 100000\n10617 15977\n18373 27584\n27706 41537\n40888 61226\n71455 100000\n13796 20748\n72063 100000\n83911 100000\n3022 4580\n17264 25912\n14912 22433\n84514 100000\n68762 100000\n70643 100000\n48388 72473\n37825 56623\n40639 60848\n53055 79471\n17577 26391\n9194 13828\n34695 51955\n71491 100000\n36477 54628\n53218 79704\n93453 100000\n83235 100000\n32127 48122\n80500 100000\n55951 83828\n96587 100000\n39754 59496\n11267 16978\n17255 25899\n42004 62901\n56205 84216\n10871 16366\n89778 100000\n92855 100000\n76863 100000\n28680 42999\n56098 84055\n40866 61188\n32789 49119\n73180 100000\n76400 100000\n2797 4227\n98433 100000\n43917 65735\n46848 70131\n75474 100000\n96796 100000\n8305 12502\n61142 91667\n39285 58801\n33777 50602\n18363 27571\n22443 33712\n9464 14231\n90566 100000\n57528 86219\n44466 66564\n17507 26286\n86012 100000\n50495 75649\n75983 100000\n23432 35174\n403 608\n10433 15700\n1738 2610\n38107 57046\n84564 100000\n39225 58715\n41431 62043\n61534 92265\n40935 61299\n87864 100000\n93704 100000\n6364 9598\n26148 39227\n24982 37474\n91825 100000\n70355 100000\n64384 96572\n12622 19004\n40831 61133\n81187 100000\n92122 100000\n49061 73495\n48818 73135\n44369 66421\n67510 100000\n984 1474\n13450 20245\n32255 48315\n76478 100000\n10396 15644\n85220 100000\n84340 100000\n19530 29345\n27038 40534\n12041 18119\n79714 100000\n20720 31132\n74637 100000\n31593 47327\n39527 59153\n39826 59615\n43881 65685\n43197 64680\n70171 100000\n49059 73491\n68895 100000\n52711 78950\n78267 100000\n35672 53404\n21191 31827\n95834 100000\n29871 44758\n74278 100000\n76693 100000\n14712 22133\n55626 83338\n44306 66322\n16492 24768\n45945 68784\n15589 23430\n50960 76350\n76966 100000\n6962 10515\n48151 72105\n1154 1729\n61704 92520\n46289 69306\n4508 6801\n11765 17719\n17558 26361\n83977 100000\n12433 18715\n6515 9833\n5703 8602\n74273 100000\n41241 61764\n89435 100000\n42111 63063\n40979 61363\n51975 77850\n47034 70416\n60295 90396\n73441 100000\n64858 97288\n95935 100000\n92964 100000\n5704 8604\n28324 42466\n13323 20055\n76371 100000\n59793 89648\n85954 100000\n90728 100000\n90083 100000\n68750 100000\n92667 100000\n93559 100000\n89674 100000\n17448 26197\n3999 6026\n76423 100000\n60196 90245\n98448 100000\n60074 90069\n82588 100000\n43564 65220\n81105 100000\n89392 100000\n74498 100000\n8396 12634\n76225 100000\n38058 56972\n22355 33579\n90204 100000\n51713 77470\n84989 100000\n57345 85936\n90521 100000\n58155 87167\n56427 84552\n10921 16448\n23914 35884\n610 913\n67652 100000\n3983 6003\n20280 30469\n13715 20639\n78923 100000\n21637 32498\n51126 76599\n13530 20357\n47599 71270\n44262 66257\n54270 81303\n55957 83838\n23784 35699\n48323 72372\n31204 46753\n5217 7877\n38834 58127\n24718 37091\n33339 49944\n46830 70108\n16152 24256\n34017 50964\n89677 100000\n5953 8997\n34924 52294\n30243 45318\n30359 45490\n10416 15676\n82342 100000\n74612 100000\n50295 75351\n31724 47528\n15792 23728\n43964 65804\n29159 43703\n86696 100000\n75595 100000\n3958 5963\n5452 8229\n3641 5489\n42634 63840\n52507 78654\n68203 100000\n27028 40519\n21717 32614\n28328 42471\n4414 6660\n49321 73888\n9747 14658\n97316 100000\n84142 100000\n44480 66586\n3518 5309\n96381 100000\n74513 100000\n65256 97898\n87903 100000\n46209 69176\n76166 100000\n37739 56491\n33155 49665\n12770 19224\n73247 100000\n39641 59323\n84552 100000\n14661 22053\n35137 52604\n36370 54461\n72794 100000\n40826 61125\n74337 100000\n59912 89827\n59053 88505\n9204 13845\n17463 26220\n45618 68295\n34868 52214\n41969 62851\n5267 7950\n2180 3295\n40448 60561\n10608 15964\n61916 92844\n69494 100000\n59969 89912\n69090 100000\n92019 100000\n71290 100000\n59289 88874\n15567 23399\n78591 100000\n37262 55790\n2696 4085\n77030 100000\n18517 27796\n24314 36487\n53853 80670\n28338 42488\n33699 50489\n69154 100000\n55431 83044\n22373 33609\n7144 10769\n61216 91779\n59004 88432\n87111 100000\n88281 100000\n67364 100000\n37261 55788\n22883 34361\n90835 100000\n96045 100000\n10546 15868\n1282 1919\n44696 66922\n63984 95964\n26125 39192\n6942 10484\n41397 61991\n49803 74621\n56836 85177\n10980 16533\n38580 57749\n32844 49204\n45599 68267\n26880 40299\n25067 37609\n57611 86350\n96186 100000\n45233 67719\n11018 16593\n26643 39947\n31228 46791\n29189 43738\n11541 17382\n3671 5529\n24166 36266\n25273 37912\n67967 100000\n45610 68282\n96976 100000\n48800 73109\n19189 28831\n36259 54289\n19290 28987\n87913 100000\n54546 81714\n87311 100000\n33468 50141\n38080 57006\n83758 100000\n3079 4664\n45203 67674\n32968 49390\n87621 100000\n67035 100000\n79579 100000\n50623 75846\n53141 79597\n88053 100000\n81681 100000\n97603 100000\n93689 100000\n84633 100000\n65389 98089\n21579 32408\n9775 14700\n66898 100000\n1968 2973\n21113 31715\n48928 73297\n62943 94403\n17826 26762\n60871 91253\n11083 16694\n67342 100000\n74833 100000\n88168 100000\n26624 39922\n74024 100000\n13408 20185\n17895 26866\n23089 34668\n53260 79772\n57643 86394\n73688 100000\n72217 100000\n87292 100000\n33511 50206\n31906 47801\n63428 95113\n51499 77166\n10727 16148\n70362 100000\n38930 58270\n41 59\n5469 8253\n6894 10414\n26924 40362\n17656 26517\n27379 41055\n24429 36665\n47561 71212\n49536 74221\n66888 100000\n33100 49585\n15514 23321\n38430 57535\n71275 100000\n32909 49306\n71959 100000\n75064 100000\n41087 61523\n94951 100000\n30499 45705\n15708 23605\n25297 37946\n81635 100000\n33825 50672\n13290 20009\n88584 100000\n99941 100000\n22710 34106\n81706 100000\n88683 100000\n31459 47126\n73506 100000\n49378 73983\n51397 77009\n64871 97309\n14445 21729\n3502 5287\n66864 100000\n67709 100000\n85542 100000\n76308 100000\n99966 100000\n54579 81762\n35920 53769\n81571 100000\n36092 54033\n53806 80603\n48584 72768\n28807 43179\n67646 100000\n51827 77638\n49939 74824\n64866 97300\n56007 83915\n23377 35092\n64579 96864\n64534 96797\n2592 3927\n30858 46238\n31167 46692\n77241 100000\n76465 100000\n23153 34763\n87148 100000\n22376 33612\n79319 100000\n62189 93261\n91375 100000\n72788 100000\n89734 100000\n82949 100000\n52799 79085\n68305 100000\n10178 15314\n23771 35680\n96319 100000\n44813 67097\n46213 69184\n39207 58691\n74549 100000\n30383 45529\n44906 67238\n83537 100000\n32613 48849\n34670 51919\n56230 84252\n19773 29697\n41632 62345\n98564 100000\n72639 100000\n72913 100000\n55858 83688\n17943 26938\n37177 55662\n32221 48262\n64207 96308\n84885 100000\n94950 100000\n83920 100000\n34591 51806\n67104 100000\n7425 11185\n85509 100000\n89019 100000\n65410 98121\n67767 100000\n68230 100000\n52947 79309\n97011 100000\n82967 100000\n88306 100000\n21976 33003\n16776 25182\n68005 100000\n28204 42294\n37450 56062\n9350 14063\n20936 31455\n16038 24084\n47318 70852\n11490 17305\n15976 23994\n9385 14117\n58241 87289\n70105 100000\n46308 69333\n75715 100000\n4863 7346\n1076 1613\n57820 86658\n51769 77554\n78009 100000\n55457 83082\n17696 26577\n68538 100000\n65333 98010\n43694 65409\n29011 43482\n51209 76727\n48310 72352\n4597 6942\n11416 17198\n9866 14845\n63847 95768\n42225 63237\n41790 62589\n90440 100000\n62971 94442\n4571 6899\n19115 28717\n91961 100000\n70860 100000\n62788 94170\n87922 100000\n30991 46431\n98096 100000\n60259 90340\n83771 100000\n5809 8770\n71363 100000\n89979 100000\n43063 64481\n1990 3004\n82084 100000\n2684 4065\n92618 100000\n65829 98741\n7573 11414\n87798 100000\n81522 100000\n91923 100000\n76653 100000\n40300 60331\n54248 81267\n42135 63098\n22092 33182\n36549 54734\n96686 100000\n14143 21290\n29754 44582\n99129 100000\n25875 38826\n59300 88892\n13253 19953\n15083 22686\n70361 100000\n92627 100000\n96152 100000\n14144 21292\n84706 100000\n48355 72421\n19479 29271\n2665 4034\n61109 91617\n17967 26975\n8203 12344\n26375 39567\n5255 7932\n88622 100000\n15148 22783\n36197 54196\n40871 61196\n26251 39385\n47998 71876\n25866 38811\n14992 22557\n5858 8846\n48495 72633\n88315 100000\n55570 83254\n84841 100000\n92537 100000\n27772 41634\n84559 100000\n6775 10234\n59327 88931\n36445 54581\n24955 37433\n48865 73206\n80166 100000\n18173 27281\n75115 100000\n5130 7748\n76706 100000\n27485 41212\n41617 62321\n3686 5552\n59759 89604\n393 593\n83471 100000\n99795 100000\n80068 100000\n94549 100000\n4971 7509\n79645 100000\n55614 83318\n56023 83938\n68180 100000\n47146 70584\n91666 100000\n36554 54742\n30683 45988\n6497 9804\n48998 73402\n94999 100000\n40988 61378\n31883 47765\n95473 100000\n68060 100000\n48724 72989\n22554 33876\n1280 1916\n15416 23180\n71906 100000\n31312 46910\n70160 100000\n55378 82958\n26446 39671\n27235 40831\n33952 50866\n45716 68438\n15686 23573\n70600 100000\n50657 75896\n52727 78976\n21830 32786\n86004 100000\n27766 41625\n79986 100000\n11844 17833\n49750 74541\n13346 20091\n88276 100000\n3139 4753\n41454 62077\n55049 82456\n30079 45065\n83626 100000\n37796 56583\n80269 100000\n32116 48106\n39088 58511\n59350 88969\n99458 100000\n37472 56097\n26186 39288\n19148 28767\n82395 100000\n25141 37715\n28071 42089\n41384 61969\n48936 73308\n36899 55247\n74915 100000\n72453 100000\n66069 99100\n71480 100000\n4692 7084\n49324 73894\n29718 44526\n3440 5194\n6264 9447\n48854 73187\n89594 100000\n95916 100000\n85034 100000\n81963 100000\n34480 51653\n95388 100000\n43857 65650\n82753 100000\n99594 100000\n52436 78543\n8606 12952\n68337 100000\n80588 100000\n57052 85498\n57100 85567\n53821 80625\n98382 100000\n68733 100000\n49450 74097\n75845 100000\n87491 100000\n82264 100000\n8479 12753\n1019 1527\n79704 100000\n58844 88197\n19140 28755\n7366 11097\n35293 52833\n61429 92102\n42069 63001\n36765 55056\n51447 77085\n85984 100000\n21732 32637\n53850 80666\n25717 38582\n67574 100000\n76611 100000\n58166 87184\n83480 100000\n88640 100000\n4131 6233\n58684 87952\n89169 100000\n76249 100000\n785 1176\n49255 73788\n47460 71061\n25935 38911\n10328 15542\n1431 2138\n78076 100000\n88255 100000\n19473 29261\n11421 17205\n42681 63912\n68042 100000\n69956 100000\n38945 58295\n82614 100000\n88136 100000\n87549 100000\n35124 52585\n29976 44908\n41498 62142\n87356 100000\n52357 78423\n85929 100000\n22308 33511\n21476 32253\n22646 34006\n7622 11486\n31153 46670\n14254 21451\n71836 100000\n1253 1875\n65675 98505\n83999 100000\n90976 100000\n21490 32275\n65053 97584\n51084 76534\n22259 33440\n66578 99869\n67066 100000\n43431 65028\n81281 100000\n55574 83260\n63265 94876\n45995 68857\n80630 100000\n17099 25664\n99546 100000\n13018 19597\n16331 24523\n53719 80464\n39340 58885\n6695 10109\n45470 68072\n30232 45300\n75307 100000\n90952 100000\n29340 43967\n82589 100000\n51854 77676\n5936 8969\n9195 13830\n80143 100000\n65415 98129\n77205 100000\n93725 100000\n4582 6919\n95012 100000\n5039 7604\n15468 23252\n88390 100000\n18884 28360\n37377 55952\n13232 19917\n55839 83657\n6084 9183\n91726 100000\n45513 68139\n60107 90114\n95285 100000\n38543 57698\n80292 100000\n66912 100000\n3515 5303\n92921 100000\n6531 9858\n47801 71570\n15342 23070\n22436 33700\n88126 100000\n42800 64091\n94908 100000\n49723 74502\n88796 100000\n58983 88403\n94293 100000\n24343 36534\n12716 19140\n39165 58629\n68780 100000\n5764 8696\n81554 100000\n75919 100000\n85062 100000\n2739 4149\n68814 100000\n34949 52333\n23213 34853\n39102 58532\n96710 100000\n54929 82283\n17432 26173\n42965 64337\n57860 86716\n75555 100000\n35480 53116\n67262 100000\n11869 17867\n38023 56920\n23144 34753\n66506 99757\n93415 100000\n27236 40832\n24696 37061\n73828 100000\n24208 36326\n62364 93521\n74869 100000\n33773 50596\n52526 78686\n84636 100000\n83823 100000\n92688 100000\n34125 51129\n2091 3163\n70011 100000\n16533 24829\n26743 40097\n21001 31541\n86452 100000\n49843 74683\n39104 58535\n6040 9122\n55349 82917\n88805 100000\n87681 100000\n83130 100000\n77448 100000\n97709 100000\n57224 85747\n8168 12290\n58942 88339\n83787 100000\n52655 78870\n4931 7447\n76923 100000\n50759 76051\n73438 100000\n85203 100000\n8365 12589\n43975 65820\n28337 42487\n33622 50379\n41946 62818\n28604 42887\n27913 41843\n13258 19959\n12748 19188\n27265 40872\n43117 64561\n60372 90514\n73829 100000\n44775 67043\n60948 91366\n32776 49100\n68291 100000\n31426 47078\n2198 3323\n23540 35339\n39159 58619\n35051 52482\n1939 2931\n78424 100000\n48442 72555\n87383 100000\n90209 100000\n32851 49213\n52545 78713\n66848 100000\n29084 43595\n17474 26235\n79176 100000\n89509 100000\n74333 100000\n78813 100000\n93451 100000\n10029 15087\n99746 100000\n25342 38016\n81620 100000\n19974 30011\n50908 76269\n99101 100000\n75628 100000\n36171 54154\n64849 97274\n84456 100000\n2038 3077\n78023 100000\n48021 71910\n66427 99627\n40810 61101\n59728 89553\n47939 71782\n61625 92400\n69684 100000\n77921 100000\n69298 100000\n74280 100000\n25708 38568\n8264 12439\n42459 63587\n18827 28268\n1249 1870\n33787 50617\n89201 100000\n56796 85113\n59680 89475\n47661 71358\n72691 100000\n81643 100000\n68760 100000\n57846 86695\n11357 17111\n36902 55251\n50355 75443\n74787 100000\n85824 100000\n1480 2214\n37833 56632\n33933 50833\n33300 49889\n96003 100000\n43969 65812\n10104 15205\n42718 63970\n81044 100000\n4553 6870\n35177 52661\n35272 52807\n27223 40811\n27428 41126\n16157 24265\n77965 100000\n69321 100000\n93441 100000\n85793 100000\n20037 30102\n41937 62804\n16693 25055\n88436 100000\n55545 83213\n89325 100000\n96966 100000\n81048 100000\n35044 52472\n25236 37857\n5813 8776\n62654 93967\n28287 42414\n19065 28634\n46934 70257\n65365 98056\n95657 100000\n85761 100000\n95209 100000\n10369 15604\n89048 100000\n31527 47227\n28396 42574\n70878 100000\n79416 100000\n19377 29121\n62580 93853\n40349 60406\n83457 100000\n45664 68365\n54225 81233\n83524 100000\n14160 21318\n50177 75176\n37462 56083\n50535 75713\n86813 100000\n28000 41975\n14685 22090\n80508 100000\n30064 45046\n88708 100000\n53091 79524\n54503 81651\n12429 18709\n52609 78803\n23194 34823\n73386 100000\n3442 5198\n47793 71556\n67863 100000\n78664 100000\n78375 100000\n70328 100000\n62666 93984\n35893 53731\n638 952\n1934 2923\n93111 100000\n69308 100000\n40343 60395\n3370 5093\n77514 100000\n58630 87868\n59832 89707\n97503 100000\n24599 36915\n81637 100000\n79817 100000\n39655 59346\n4928 7443\n16550 24854\n68911 100000\n34839 52172\n66262 99387\n36409 54521\n11962 17999\n10292 15487\n48292 72322\n20174 30306\n21726 32626\n98692 100000\n23592 35417\n6867 10375\n54802 82100\n7201 10855\n30700 46011\n32518 48699\n45073 67480\n15803 23746\n49440 74082\n68506 100000\n25206 37811\n78996 100000\n42688 63922\n47138 70571\n29592 44348\n59652 89433\n45333 67865\n77964 100000\n77936 100000\n85066 100000\n94042 100000\n16223 24365\n64665 96992\n78779 100000\n58358 87465\n39849 59653\n20387 30634\n56795 85112\n75777 100000\n44227 66203\n70998 100000\n25642 38465\n66748 100000\n97299 100000\n95764 100000\n17391 26111\n83290 100000\n69024 100000\n85087 100000\n24431 36667\n39205 58689\n81388 100000\n57308 85882\n25103 37659\n14634 22011\n58802 88134\n81023 100000\n30998 46440\n70178 100000\n47113 70534\n26041 39067\n63037 94535\n76013 100000\n30657 45949\n8868 13338\n8862 13331\n27063 40571\n33142 49644\n86916 100000\n6982 10544\n35277 52814\n39574 59223\n25908 38874\n70918 100000\n54846 82161\n5757 8684\n13400 20174\n61211 91773\n86616 100000\n30932 46345\n99454 100000\n75406 100000\n12278 18482\n30146 45168\n98716 100000\n5319 8027\n61515 92234\n32645 48895\n75308 100000\n38064 56982\n13216 19893\n64835 97254\n34843 52176\n74627 100000\n13849 20833\n35477 53111\n27875 41786\n52823 79124\n32578 48792\n29692 44483\n50971 76367\n87785 100000\n52136 78084\n36751 55033\n36340 54414\n45524 68157\n78246 100000\n97399 100000\n18008 27035\n31021 46473\n9543 14352\n52045 77952\n99646 100000\n80659 100000\n1802 2717\n32326 48416\n82260 100000\n20995 31533\n37302 55850\n69123 100000\n53905 80748\n43106 64547\n96797 100000\n57104 85571\n5669 8548\n92628 100000\n4379 6608\n45724 68451\n19526 29341\n66255 99378\n5805 8764\n82338 100000\n3295 4982\n77736 100000\n66119 99176\n80543 100000\n53121 79567\n81149 100000\n74269 100000\n34874 52224\n85347 100000\n13127 19758\n87161 100000\n5662 8538\n68209 100000\n36712 54975\n32317 48404\n22264 33449\n18719 28101\n1061 1591\n47828 71612\n54778 82064\n46954 70290\n76244 100000\n6550 9886\n36296 54347\n28626 42919\n41411 62014\n38685 57896\n92697 100000\n63652 95465\n59687 89489\n50067 75018\n56155 84141\n4847 7319\n80083 100000\n46107 69025\n90114 100000\n57075 85533\n52772 79042\n31678 47459\n90975 100000\n91024 100000\n88840 100000\n27484 41211\n76860 100000\n79045 100000\n82258 100000\n41508 62156\n46747 69990\n77797 100000\n41608 62310\n85226 100000\n24504 36774\n74899 100000\n66642 99963\n18016 27046\n84288 100000\n14549 21884\n46502 69627\n6185 9334\n1421 2124\n107 155\n78976 100000\n64878 97320\n13428 20215\n50517 75682\n34034 50991\n4369 6592\n7497 11297\n97945 100000\n95330 100000\n25801 38713\n30914 46316\n48475 72604\n3047 4619\n48260 72275\n35239 52755\n90253 100000\n39144 58597\n32234 48281\n76911 100000\n48677 72914\n3682 5545\n73511 100000\n71968 100000\n32251 48308\n30384 45531\n69241 100000\n382 576\n70858 100000\n47580 71240\n6493 9798\n3565 5379\n41553 62228\n17170 25775\n26260 39397\n14628 22002\n50641 75872\n6136 9264\n12960 19511\n26649 39956\n35027 52444\n98324 100000\n98408 100000\n92740 100000\n50981 76381\n12522 18851\n16192 24320\n45255 67750\n92486 100000\n35331 52891\n24725 37102\n49866 74718\n92548 100000\n68775 100000\n22410 33664\n60513 90730\n50844 76176\n28837 43225\n54 77\n93720 100000\n59282 88864\n74166 100000\n68232 100000\n33026 49475\n87702 100000\n73203 100000\n91627 100000\n89001 100000\n64317 96474\n8300 12494\n24645 36982\n38568 57730\n20539 30859\n85443 100000\n90071 100000\n98635 100000\n15714 23615\n85342 100000\n2911 4407\n93465 100000\n90383 100000\n99256 100000\n84429 100000\n1230 1843\n66669 100000\n199 295\n45351 67891\n95256 100000\n55497 83144\n1292 1934\n41911 62768\n62484 93712\n79424 100000\n69943 100000\n77353 100000\n80741 100000\n48578 72761\n61867 92767\n58488 87660\n33749 50561\n59707 89519\n80492 100000\n75129 100000\n55212 82705\n44753 67009\n58408 87544\n30217 45273\n40526 60677\n25311 37967\n16262 24426\n44438 66520\n59052 88504\n57202 85716\n6647 10030\n54008 80908\n82827 100000\n31702 47497\n76385 100000\n73375 100000\n25200 37803\n23306 34988\n9860 14835\n30668 45967\n97381 100000\n40700 60936\n99230 100000\n4719 7125\n3548 5354\n32059 48022\n57689 86467\n64480 96711\n23701 35578\n58080 87055\n9477 14251\n41879 62726\n69788 100000\n62713 94059\n29455 44138\n53185 79659\n75882 100000\n26464 39697\n13556 20399\n4664 7045\n28780 43141\n2472 3747\n61692 92503\n21666 32540\n23341 35037\n42578 63762\n79730 100000\n54820 82123\n52853 79166\n6442 9718\n26963 40419\n37147 55616\n34004 50943\n42955 64321\n50382 75485\n18631 27968\n7265 10949\n65503 98256\n53730 80481\n27980 41941\n33809 50646\n91559 100000\n93304 100000\n67160 100000\n25408 38113\n76757 100000\n17478 26241\n77534 100000\n34772 52075\n88202 100000\n17857 26810\n27929 41869\n24285 36442\n26612 39905\n41468 62100\n25228 37845\n67132 100000\n41696 62446\n81501 100000\n80415 100000\n29088 43601\n89133 100000\n51830 77643\n50084 75043\n76024 100000\n12616 18995\n80266 100000\n2078 3142\n86006 100000\n1030 1545\n72713 100000\n79004 100000\n53252 79758\n52949 79311\n38929 58268\n47134 70565\n81144 100000\n60838 91209\n68609 100000\n83707 100000\n49878 74739\n46800 70066\n16428 24667\n62478 93704\n58007 86942\n5382 8124\n68982 100000\n57945 86852\n81511 100000\n159 231\n55371 82949\n40978 61361\n50454 75582\n86891 100000\n79497 100000\n96453 100000\n15075 22674\n27436 41137\n9298 13985\n84582 100000\n14623 21993\n11793 17761\n64571 96851\n52493 78633\n98591 100000\n92538 100000\n40644 60854\n36211 54216\n95801 100000\n23184 34809\n40912 61266\n13533 20362\n6298 9499\n80973 100000\n85053 100000\n10240 15409\n65051 97581\n1909 2885\n1921 2903\n80186 100000\n6459 9746\n57289 85852\n23050 34612\n5970 9023\n25458 38193\n50945 76329\n92002 100000\n69547 100000\n70972 100000\n58667 87925\n73499 100000\n85555 100000\n97650 100000\n19300 28999\n37200 55694\n50947 76333\n53062 79483\n82423 100000\n65820 98726\n17003 25526\n98136 100000\n35606 53308\n72203 100000\n19042 28599\n54060 80990\n7874 11857\n62960 94428\n86134 100000\n97471 100000\n39415 58998\n72413 100000\n96759 100000\n21529 32332\n40745 61000\n3327 5032\n31672 47450\n36672 54920\n54915 82261\n84822 100000\n83497 100000\n59164 88678\n21277 31951\n52785 79063\n6283 9476\n96993 100000\n11200 16877\n90355 100000\n11596 17463\n92052 100000\n81057 100000\n8282 12467\n28641 42940\n78444 100000\n53512 80149\n26858 40266\n51662 77394\n12570 18925\n23664 35520\n1211 1812\n6644 10024\n5384 8127\n38197 57182\n75099 100000\n2463 3734\n41126 61581\n78483 100000\n84798 100000\n52454 78572\n83901 100000\n65174 97776\n45069 67474\n12566 18919\n8925 13421\n36236 54257\n7778 11713\n6742 10184\n6281 9474\n82359 100000\n60889 91279\n32294 48370\n14463 21755\n44809 67091\n53034 79435\n57393 86005\n88874 100000\n41287 61827\n69667 100000\n33733 50536\n50103 75069\n18090 27160\n76722 100000\n53107 79549\n71401 100000\n37923 56766\n72434 100000\n60555 90789\n88838 100000\n36323 54388\n82700 100000\n22049 33115\n45208 67681\n55969 83856\n23195 34825\n23108 34695\n75691 100000\n36384 54483\n20468 30758\n56574 84774\n88012 100000\n25680 38527\n79369 100000\n39177 58647\n76383 100000\n24272 36423\n87529 100000\n56278 84322\n17951 26949\n46906 70220\n80870 100000\n31802 47643\n14713 22135\n35984 53870\n96894 100000\n35160 52637\n62002 92984\n89313 100000\n67781 100000\n3395 5132\n27105 40632\n60704 91015\n26103 39159\n19982 30022\n5839 8815\n7930 11945\n34356 51471\n56250 84282\n77547 100000\n94017 100000\n42132 63094\n27510 41247\n10402 15654\n62515 93758\n85398 100000\n71248 100000\n43217 64712\n8129 12233\n72322 100000\n27529 41275\n91702 100000\n7617 11476\n9625 14470\n86761 100000\n74957 100000\n60817 91179\n32095 48078\n71234 100000\n43320 64865\n70742 100000\n22412 33666\n98082 100000\n860 1278\n54595 81786\n13736 20666\n25448 38177\n17373 26082\n63371 95031\n87288 100000\n47292 70810\n85413 100000\n50721 75994\n22611 33960\n13247 19945\n41463 62092\n57382 85990\n63242 94843\n26443 39666\n29684 44471\n412 621\n67731 100000\n67179 100000\n17837 26780\n60211 90269\n31105 46595\n4160 6278\n52523 78680\n69479 100000\n40855 61171\n57131 85613\n56954 85351\n23443 35191\n96873 100000\n45854 68651\n62410 93598\n87316 100000\n11158 16813\n74712 100000\n44232 66211\n36739 55017\n74907 100000\n83964 100000\n14516 21837\n9442 14199\n59064 88525\n1272 1903\n22011 33055\n59477 89166\n76009 100000\n41084 61518\n4372 6597\n12958 19507\n96345 100000\n56591 84803\n53148 79605\n26614 39907\n30416 45582\n66998 100000\n79787 100000\n24398 36615\n57304 85876\n36464 54607\n63093 94618\n67972 100000\n6866 10374\n78474 100000\n42896 64230\n19645 29517\n69588 100000\n37991 56872\n96241 100000\n86450 100000\n52227 78224\n74515 100000\n21702 32593\n67319 100000\n87841 100000\n93040 100000\n42673 63901\n32965 49386\n52123 78068\n40275 60297\n41002 61397\n47500 71121\n99812 100000\n61930 92866\n48418 72520\n71411 100000\n14266 21469\n49895 74763\n54912 82258\n14595 21950\n65118 97687\n29847 44722\n90974 100000\n10747 16179\n30398 45554\n48642 72862\n45974 68829\n10942 16478\n76382 100000\n56765 85066\n72746 100000\n15374 23119\n45406 67973\n26827 40219\n58349 87454\n12858 19354\n60800 91155\n95172 100000\n51382 76987\n29430 44102\n66753 100000\n34635 51870\n29616 44382\n74130 100000\n5135 7753\n85590 100000\n61510 92227\n38377 57459\n97176 100000\n51924 77774\n53935 80795\n11102 16726\n39651 59340\n63239 94837\n31725 47530\n30793 46145\n14664 22057\n17687 26564\n66202 99299\n15441 23213\n73777 100000\n41920 62781\n49165 73657\n13463 20261\n93734 100000\n52250 78257\n99993 100000\n25544 38317\n29234 43805\n50693 75953\n27736 41578\n6564 9908\n28739 43082\n69236 100000\n61375 92016\n10142 15260\n74747 100000\n4243 6407\n92350 100000\n64671 97001\n67028 100000\n60467 90659\n73232 100000\n55376 82954\n45029 67413\n47971 71832\n46927 70247\n47789 71551\n45564 68214\n44573 66724\n90969 100000\n65244 97879\n97533 100000\n44530 66659\n24948 37422\n56159 84148\n3092 4683\n6574 9921\n43325 64872\n22393 33638\n37608 56299\n44173 66120\n46381 69439\n11729 17663\n25118 37683\n834 1246\n46566 69731\n91580 100000\n40091 60023\n28260 42374\n99647 100000\n65947 98923\n20227 30391\n54317 81370\n44105 66012\n38656 57854\n5190 7835\n74479 100000\n36439 54571\n36758 55043\n13896 20907\n19628 29493\n15248 22930\n50331 75407\n1402 2092\n93547 100000\n63817 95723\n35692 53432\n92579 100000\n61837 92720\n80782 100000\n93977 100000\n94398 100000\n33024 49472\n36877 55213\n84543 100000\n84565 100000\n52183 78155\n20789 31235\n37484 56114\n50534 75711\n46712 69943\n12732 19164\n50293 75349\n6604 9968\n28961 43413\n579 866\n11006 16572\n16947 25440\n34865 52208\n83784 100000\n88654 100000\n15637 23498\n91714 100000\n91753 100000\n54785 82074\n49332 73907\n1915 2895\n78079 100000\n18254 27406\n39602 59264\n5320 8029\n42830 64136\n14733 22163\n91667 100000\n71505 100000\n60240 90310\n27784 41654\n4353 6569\n11692 17608\n47047 70436\n18083 27150\n14863 22360\n74893 100000\n41037 61449\n19500 29301\n74810 100000\n5524 8337\n90325 100000\n95413 100000\n60139 90159\n47031 70411\n65350 98035\n14705 22122\n46875 70169\n5301 8001\n41887 62737\n48827 73149\n56969 85374\n11890 17898\n50811 76128\n14416 21692\n24331 36515\n68916 100000\n92508 100000\n97434 100000\n28665 42975\n66181 99265\n9268 13941\n27547 41301\n31478 47153\n14287 21498\n22771 34196\n41292 61835\n53156 79615\n72700 100000\n85133 100000\n46840 70120\n30671 45972\n79646 100000\n26265 39403\n78238 100000\n91030 100000\n66350 99524\n40238 60240\n2958 4481\n5856 8842\n21668 32543\n85302 100000\n41767 62550\n22070 33148\n24589 36901\n76504 100000\n53056 79473\n75636 100000\n58233 87277\n70260 100000\n1251 1873\n92118 100000\n49565 74259\n8243 12407\n45435 68020\n35099 52554\n2325 3517\n33774 50597\n45628 68311\n73844 100000\n3366 5086\n68695 100000\n42492 63639\n59703 89513\n517 769\n17816 26747\n94895 100000\n22323 33530\n45849 68643\n20700 31100\n42377 63470\n4707 7107\n55413 83017\n77920 100000\n2063 3117\n62811 94202\n87003 100000\n50483 75628\n52500 78644\n65299 97961\n54044 80965\n94351 100000\n27636 41433\n22261 33443\n22785 34215\n64165 96240\n43359 64922\n19485 29280\n28441 42641\n13625 20506\n89427 100000\n5666 8545\n40509 60649\n62611 93900\n58076 87050\n2740 4151\n73139 100000\n53772 80552\n75862 100000\n21121 31726\n35120 52581\n17063 25610\n94299 100000\n59220 88765\n89405 100000\n78410 100000\n91654 100000\n91812 100000\n68193 100000\n36984 55370\n78208 100000\n65843 98764\n62715 94063\n81443 100000\n67493 100000\n4019 6060\n36873 55207\n51117 76586\n93836 100000\n40655 60871\n14915 22437\n12343 18577\n95238 100000\n49525 74207\n98556 100000\n82676 100000\n43908 65725\n20660 31041\n82128 100000\n29150 43690\n7025 10602\n5041 7607\n87704 100000\n93966 100000\n48204 72189\n86381 100000\n85418 100000\n98336 100000\n63309 94943\n50515 75680\n84263 100000\n17646 26499\n24464 36720\n2925 4428\n85236 100000\n73719 100000\n22794 34229\n16600 24921\n86532 100000\n83129 100000\n38326 57379\n68363 100000\n15138 22766\n72763 100000\n98688 100000\n47816 71595\n86661 100000\n47638 71325\n99183 100000\n91781 100000\n43493 65117\n45596 68262\n36910 55262\n96922 100000\n77544 100000\n60253 90330\n38962 58319\n77412 100000\n62293 93424\n18816 28252\n33376 50001\n89243 100000\n90247 100000\n57387 85998\n51702 77454\n72429 100000\n41238 61758\n75972 100000\n57518 86203\n84275 100000\n64747 97113\n93266 100000\n82294 100000\n74866 100000\n87941 100000\n65614 98419\n46836 70115\n10346 15567\n52195 78174\n23751 35651\n19562 29388\n52496 78637\n43434 65032\n67640 100000\n85962 100000\n75191 100000\n97180 100000\n84607 100000\n17686 26563\n16870 25326\n30878 46267\n39236 58730\n53154 79613\n2657 4024\n36058 53982\n48727 72994\n83475 100000\n79926 100000\n62551 93812\n20450 30733\n50457 75587\n66670 100000\n74215 100000\n40466 60587\n34263 51336\n91582 100000\n92644 100000\n72477 100000\n59733 89560\n46228 69209\n25316 37974\n33840 50697\n67210 100000\n88382 100000\n26655 39963\n7041 10622\n15570 23403\n7822 11780\n73385 100000\n19540 29357\n30086 45075\n22619 33970\n4339 6549\n34557 51757\n66970 100000\n26875 40291\n78848 100000\n44289 66296\n6002 9068\n2566 3888\n30203 45254\n75245 100000\n7726 11636\n29359 43995\n6232 9401\n82825 100000\n11266 16977\n34831 52159\n1885 2846\n60594 90845\n95677 100000\n39186 58661\n91067 100000\n19309 29014\n67239 100000\n31220 46779\n232 347\n47694 71410\n39599 59261\n23282 34952\n97617 100000\n40915 61270\n48385 72469\n90848 100000\n42349 63423\n85578 100000\n11504 17325\n54272 81306\n41873 62718\n26799 40178\n82197 100000\n71482 100000\n28707 43034\n88868 100000\n6691 10102\n81752 100000\n10042 15109\n88993 100000\n20609 30961\n9152 13762\n48674 72908\n24928 37392\n30504 45711\n77837 100000\n26095 39147\n16808 25233\n94486 100000\n96927 100000\n40307 60340\n60396 90550\n83115 100000\n86576 100000\n61956 92914\n43180 64653\n41332 61894\n43895 65708\n99328 100000\n699 1045\n68740 100000\n66553 99829\n66197 99290\n20633 30997\n15981 24002\n70357 100000\n57792 86614\n23969 35968\n40151 60113\n50068 75020\n10967 16512\n98144 100000\n99154 100000\n6218 9381\n37835 56635\n11092 16709\n95092 100000\n2057 3106\n65692 98531\n24296 36458\n72459 100000\n12737 19173\n28171 42246\n5247 7921\n74277 100000\n53332 79881\n96258 100000\n52118 78059\n15377 23123\n88843 100000\n38627 57816\n22517 33820\n41945 62817\n14386 21650\n24276 36430\n79029 100000\n28928 43363\n80242 100000\n62037 93032\n72730 100000\n61055 91534\n77648 100000\n91508 100000\n63342 94990\n92599 100000\n24519 36796\n88458 100000\n48111 72044\n36582 54783\n17189 25800\n72541 100000\n59647 89427\n60039 90019\n91609 100000\n75261 100000\n24280 36436\n21711 32607\n51754 77531\n87584 100000\n13396 20167\n71849 100000\n69231 100000\n51515 77188\n72377 100000\n49817 74643\n34495 51673\n39230 58722\n66409 99601\n52400 78484\n42791 64079\n72888 100000\n7256 10935\n62397 93572\n42337 63405\n91607 100000\n41861 62704\n91629 100000\n8311 12510\n54212 81212\n47104 70520\n2675 4051\n24002 36020\n39931 59779\n15244 22923\n57599 86331\n1862 2809\n53444 80050\n22285 33481\n82268 100000\n71556 100000\n38389 57477\n52528 78690\n48893 73246\n80669 100000\n35792 53576\n10521 15828\n42252 63276\n22194 33341\n56927 85309\n16979 25487\n48194 72172\n19491 29289\n19297 28996\n26836 40231\n42618 63819\n92528 100000\n47290 70808\n10253 15431\n34452 51609\n86252 100000\n44698 66925\n33302 49891\n39178 58649\n39919 59760\n65999 98997\n59746 89582\n78213 100000\n75490 100000\n37968 56838\n25776 38674\n53313 79852\n74906 100000\n78371 100000\n77005 100000\n10247 15420\n89274 100000\n72235 100000\n79702 100000\n12464 18762\n36726 54998\n76459 100000\n52005 77890\n89969 100000\n35109 52566\n62244 93346\n59706 89517\n16407 24635\n43578 65239\n54607 81802\n54832 82142\n86712 100000\n97712 100000\n85931 100000\n64910 97369\n78890 100000\n73564 100000\n52677 78899\n76740 100000\n6555 9893\n32977 49403\n94489 100000\n29545 44270\n14195 21369\n53473 80095\n82906 100000\n20472 30762\n37133 55597\n80545 100000\n62411 93600\n63480 95197\n79308 100000\n61285 91885\n24576 36880\n78150 100000\n85449 100000\n13062 19663\n34968 52360\n11294 17021\n86873 100000\n15065 22661\n27149 40699\n50566 75763\n57606 86342\n79869 100000\n73981 100000\n32391 48509\n41091 61530\n93783 100000\n8419 12667\n8760 13179\n39301 58824\n99611 100000\n89581 100000\n92837 100000\n94907 100000\n90901 100000\n66543 99813\n32837 49193\n23672 35534\n88677 100000\n74332 100000\n12150 18279\n51782 77570\n74625 100000\n28426 42619\n91907 100000\n94457 100000\n22370 33605\n46735 69974\n28250 42360\n9618 14460\n54924 82277\n64716 97068\n43401 64983\n82972 100000\n487 726\n5449 8223\n73379 100000\n70478 100000\n73333 100000\n42548 63719\n54754 82029\n17178 25784\n50317 75385\n29083 43593\n51409 77029\n28886 43300\n69955 100000\n80247 100000\n27487 41214\n26584 39867\n58389 87515\n43456 65062\n80457 100000\n31951 47867\n61810 92679\n60022 89991\n73065 100000\n9972 15002\n22545 33862\n12802 19269\n6112 9223\n45584 68246\n75317 100000\n86844 100000\n17108 25676\n42112 63065\n25094 37649\n81070 100000\n47132 70562\n49134 73610\n75042 100000\n41164 61641\n99730 100000\n20953 31478\n51225 76750\n57926 86822\n39939 59791\n9883 14871\n87619 100000\n15945 23951\n5742 8658\n71510 100000\n38238 57243\n42406 63510\n3213 4860\n7145 10771\n33238 49795\n32164 48175\n8562 12881\n59060 88517\n38118 57063\n30791 46142\n55342 82907\n34533 51727\n56519 84689\n62926 94377\n71502 100000\n70974 100000\n40958 61330\n15092 22701\n73254 100000\n89823 100000\n83399 100000\n91592 100000\n60562 90799\n52051 77961\n91317 100000\n55398 82991\n97151 100000\n12349 18587\n3572 5389\n33568 50288\n76 111\n48968 73357\n94364 100000\n28868 43275\n33976 50904\n72142 100000\n68789 100000\n23214 34855\n52883 79213\n77381 100000\n63214 94801\n47818 71599\n47823 71605\n99069 100000\n21063 31638\n40541 60700\n73858 100000\n14362 21613\n44183 66135\n81238 100000\n30184 45223\n35665 53396\n80760 100000\n43209 64698\n32357 48463\n38345 57408\n9291 13974\n66486 99726\n52177 78145\n62370 93532\n18680 28040\n21616 32467\n74613 100000\n24389 36605\n47150 70589\n89506 100000\n51387 76994\n53689 80420\n46901 70211\n36398 54504\n49032 73450\n75028 100000\n68524 100000\n24833 37251\n85631 100000\n44049 65930\n57874 86741\n38969 58331\n42521 63679\n63343 94991\n53305 79841\n85946 100000\n43124 64571\n52391 78471\n45013 67391\n19216 28874\n3824 5761\n38758 58006\n27609 41392\n31676 47457\n54926 82280\n16091 24163\n91107 100000\n93106 100000\n6241 9413\n89206 100000\n35823 53622\n2996 4539\n91128 100000\n10487 15775\n58858 88219\n22768 34191\n64140 96200\n9612 14449\n27392 41071\n16856 25305\n10137 15254\n87923 100000\n84494 100000\n70264 100000\n17783 26698\n24969 37454\n42872 64194\n26069 39107\n15091 22699\n28676 42993\n93607 100000\n76412 100000\n61241 91818\n11004 16568\n20570 30907\n62582 93856\n94294 100000\n12425 18703\n75714 100000\n74110 100000\n7756 11681\n39554 59195\n41265 61795\n71373 100000\n68577 100000\n95918 100000\n84072 100000\n32252 48309\n77606 100000\n64731 97091\n18318 27504\n68219 100000\n90300 100000\n33464 50134\n48258 72272\n27133 40675\n98466 100000\n58040 86992\n77158 100000\n11681 17595\n12323 18546\n35184 52668\n969 1452\n38179 57153\n93041 100000\n64330 96493\n38432 57538\n32180 48200\n37596 56280\n69582 100000\n54603 81797\n59074 88539\n36035 53948\n51001 76411\n92705 100000\n41699 62450\n74304 100000\n56981 85393\n12527 18859\n32154 48161\n3242 4902\n48330 72382\n89230 100000\n18903 28389\n63191 94762\n12750 19190\n44106 66014\n28625 42917\n54303 81349\n72650 100000\n80587 100000\n88765 100000\n20857 31338\n7908 11910\n83569 100000\n7543 11370\n19442 29214\n59071 88535\n63182 94750\n22847 34308\n10766 16211\n84675 100000\n21987 33017\n83134 100000\n10564 15895\n78607 100000\n71398 100000\n38754 58000\n19143 28759\n48875 73222\n31470 47142\n66092 99136\n11549 17394\n90856 100000\n37398 55983\n89499 100000\n18342 27535\n47938 71781\n34605 51828\n40638 60846\n38098 57033\n17845 26793\n56094 84051\n37197 55691\n69906 100000\n22025 33074\n37846 56651\n32959 49378\n24810 37215\n88384 100000\n65373 98065\n55195 82682\n54391 81478\n71178 100000\n31994 47932\n4823 7286\n8723 13122\n62933 94386\n88536 100000\n44231 66209\n17249 25890\n11601 17469\n83847 100000\n35139 52608\n57111 85582\n60818 91180\n16976 25482\n79718 100000\n61928 92862\n16227 24372\n93358 100000\n56845 85190\n11985 18033\n27252 40855\n67706 100000\n70731 100000\n49777 74581\n51272 76821\n86806 100000\n22041 33101\n90142 100000\n62523 93769\n75001 100000\n32313 48398\n53562 80228\n25993 38990\n49894 74762\n53790 80580\n51549 77236\n90308 100000\n78215 100000\n88197 100000\n42335 63402\n64036 96041\n39835 59631\n70488 100000\n85035 100000\n67923 100000\n34296 51383\n21056 31626\n89108 100000\n44039 65915\n43083 64512\n97908 100000\n77608 100000\n2714 4111\n46222 69198\n77788 100000\n59334 88943\n74692 100000\n77817 100000\n92436 100000\n65524 98286\n70836 100000\n39736 59467\n70152 100000\n55045 82449\n15975 23993\n71035 100000\n11057 16657\n27150 40700\n36569 54763\n50383 75486\n26467 39702\n35319 52872\n59084 88555\n9131 13727\n71155 100000\n81551 100000\n73152 100000\n40793 61077\n21791 32725\n41988 62879\n4216 6365\n64523 96779\n62576 93847\n23613 35446\n68866 100000\n58751 88058\n87438 100000\n77849 100000\n76503 100000\n22516 33819\n36253 54280\n52924 79277\n11816 17797\n83935 100000\n85423 100000\n31732 47539\n18091 27162\n876 1302\n94157 100000\n65993 98988\n52146 78099\n83708 100000\n44575 66727\n85879 100000\n73459 100000\n81223 100000\n95936 100000\n27319 40956\n37139 55605\n43934 65758\n61746 92584\n96487 100000\n11851 17842\n23737 35631\n82861 100000\n73928 100000\n72946 100000\n36833 55147\n53119 79564\n6199 9356\n34381 51511\n1566 2349\n87135 100000\n35517 53171\n95000 100000\n85695 100000\n82688 100000\n1561 2339\n58082 87058\n25944 38924\n67876 100000\n89523 100000\n57420 86052\n98240 100000\n65376 98071\n27648 41452\n46881 70179\n58126 87122\n49096 73552\n53010 79399\n13466 20264\n86388 100000\n39014 58405\n63181 94749\n96723 100000\n62524 93770\n6915 10444\n6533 9862\n86742 100000\n71873 100000\n60847 91223\n16761 25158\n17183 25791\n675 1009\n53136 79591\n65780 98671\n5119 7733\n35007 52416\n99446 100000\n2902 4391\n53094 79528\n10016 15068\n88596 100000\n99684 100000\n18932 28431\n35982 53868\n40996 61389\n70923 100000\n54269 81301\n70429 100000\n19490 29288\n55006 82392\n28138 42194\n35349 52919\n50058 75004\n92902 100000\n23328 35018\n69096 100000\n95123 100000\n43906 65723\n26510 39760\n25455 38189\n97581 100000\n53795 80587\n30180 45219\n14609 21972\n82935 100000\n33710 50505\n57575 86296\n77980 100000\n72117 100000\n22604 33949\n27543 41295\n80771 100000\n40875 61204\n37937 56788\n80688 100000\n12571 18927\n71958 100000\n47043 70431\n17158 25756\n2118 3199\n74686 100000\n95592 100000\n8126 12229\n32249 48306\n37687 56416\n89237 100000\n87370 100000\n17093 25656\n51412 77033\n63213 94799\n18482 27745\n5044 7612\n29901 44801\n76430 100000\n27589 41365\n21054 31623\n63842 95760\n75202 100000\n17918 26900\n76631 100000\n9399 14135\n85648 100000\n53699 80432\n39996 59873\n47728 71457\n34020 50969\n11485 17297\n21129 31738\n33543 50253\n52086 78015\n46782 70041\n62118 93158\n53724 80473\n99253 100000\n72344 100000\n43421 65014\n47764 71512\n21703 32595\n49415 74046\n86317 100000\n15068 22666\n66454 99675\n35650 53374\n5370 8106\n97251 100000\n28642 42942\n79544 100000\n99486 100000\n79011 100000\n11495 17313\n14219 21404\n505 751\n27865 41772\n92925 100000\n41490 62133\n53296 79830\n10778 16227\n47053 70446\n58024 86971\n32519 48701\n88138 100000\n72029 100000\n21070 31648\n20513 30820\n84729 100000\n92583 100000\n20125 30234\n14673 22071\n86084 100000\n65338 98017\n98697 100000\n61572 92325\n60748 91086\n88937 100000\n68454 100000\n64816 97225\n20746 31172\n67958 100000\n10213 15363\n64340 96510\n92993 100000\n74508 100000\n7098 10702\n76859 100000\n4899 7399\n15795 23732\n25142 37716\n51430 77056\n18702 28075\n90392 100000\n95552 100000\n66770 100000\n593 887\n77712 100000\n71671 100000\n83181 100000\n87932 100000\n59694 89501\n71338 100000\n81075 100000\n90857 100000\n89238 100000\n71814 100000\n3075 4657\n39854 59661\n56743 85034\n60540 90769\n59507 89213\n21250 31916\n84382 100000\n42527 63687\n42155 63128\n42061 62990\n71309 100000\n60767 91110\n28691 43014\n9580 14405\n56112 84077\n60674 90973\n83326 100000\n68235 100000\n51522 77199\n37893 56721\n12953 19500\n94981 100000\n69690 100000\n62768 94141\n43400 64982\n2878 4354\n53814 80615\n34819 52144\n38925 58263\n32981 49409\n45869 68674\n94397 100000\n72120 100000\n93291 100000\n11910 17924\n44905 67236\n39892 59719\n90140 100000\n57485 86148\n80540 100000\n74709 100000\n83109 100000\n97755 100000\n18730 28112\n79937 100000\n35760 53531\n11304 17036\n2930 4434\n45020 67400\n30409 45570\n18776 28184\n80033 100000\n97427 100000\n29075 43581\n35641 53359\n77695 100000\n6684 10090\n77700 100000\n90449 100000\n38561 57720\n42210 63214\n61380 92023\n99064 100000\n93300 100000\n56752 85046\n1301 1947\n59907 89819\n90665 100000\n89534 100000\n62270 93387\n92698 100000\n11951 17982\n60239 90309\n74361 100000\n66457 99678\n21587 32420\n92194 100000\n7083 10681\n16726 25100\n23223 34867\n33071 49544\n79376 100000\n80101 100000\n94077 100000\n98623 100000\n16372 24584\n40673 60898\n92131 100000\n61319 91932\n80062 100000\n44832 67125\n37793 56578\n20082 30171\n6262 9444\n12030 18101\n5827 8796\n14200 21375\n92380 100000\n99645 100000\n28060 42072\n46268 69275\n58357 87464\n66679 100000\n62065 93072\n98545 100000\n56564 84759\n22559 33884\n65413 98127\n12062 18150\n83496 100000\n67631 100000\n36020 53926\n47397 70971\n98776 100000\n30560 45798\n6117 9233\n67065 100000\n20906 31410\n58591 87808\n41180 61665\n54532 81695\n47486 71100\n67351 100000\n9949 14966\n69099 100000\n84193 100000\n93620 100000\n45058 67458\n88863 100000\n21041 31602\n5940 8975\n54634 81845\n35621 53332\n27757 41611\n2350 3560\n29346 43974\n20732 31154\n75040 100000\n25166 37749\n26640 39943\n67057 100000\n55735 83503\n59483 89175\n646 962\n58585 87802\n85200 100000\n98078 100000\n62684 94012\n40100 60037\n77462 100000\n68702 100000\n43297 64834\n53430 80028\n76055 100000\n14460 21752\n13339 20079\n65348 98032\n1176 1764\n8746 13159\n77907 100000\n45281 67791\n24471 36730\n80944 100000\n91342 100000\n48079 72003\n57257 85801\n18305 27483\n27340 40991\n90744 100000\n35363 52940\n81390 100000\n6857 10358\n91299 100000\n74950 100000\n8911 13401\n53485 80112\n51901 77744\n40851 61165\n447 667\n82524 100000\n64325 96485\n30869 46255\n78173 100000\n31598 47336\n57347 85939\n51671 77407\n72805 100000\n55096 82536\n4998 7544\n99945 100000\n49284 73832\n58644 87887\n24277 36432\n15476 23265\n5818 8782\n46303 69326\n70675 100000\n93462 100000\n2087 3157\n84890 100000\n96063 100000\n6729 10163\n46503 69628\n54501 81648\n1260 1886\n3123 4728\n37765 56535\n97950 100000\n98802 100000\n74138 100000\n34946 52328\n85872 100000\n55438 83055\n42306 63358\n18400 27622\n63289 94915\n41831 62658\n39930 59778\n96990 100000\n88470 100000\n55769 83553\n49414 74044\n39743 59478\n60159 90190\n47392 70965\n10973 16520\n53072 79497\n65267 97915\n23348 35048\n94745 100000\n1256 1879\n22038 33095\n45913 68737\n82565 100000\n45355 67898\n75772 100000\n8505 12795\n93626 100000\n88463 100000\n42705 63951\n68045 100000\n89083 100000\n66883 100000\n60692 90999\n95660 100000\n97423 100000\n15286 22984\n20239 30410\n93088 100000\n12483 18792\n40543 60703\n1321 1975\n10345 15565\n73631 100000\n20894 31394\n3316 5013\n15000 22569\n90638 100000\n64751 97119\n94786 100000\n18086 27154\n92483 100000\n67229 100000\n10377 15617\n31435 47090\n6768 10223\n89306 100000\n29397 44051\n36287 54333\n60105 90112\n76445 100000\n75588 100000\n50111 75081\n89719 100000\n49048 73474\n87409 100000\n68976 100000\n54310 81359\n86634 100000\n68077 100000\n39725 59450\n52135 78083\n44874 67191\n91927 100000\n15277 22971\n40008 59894\n6803 10277\n18502 27774\n32476 48636\n94036 100000\n3779 5694\n65344 98026\n41749 62521\n75302 100000\n62068 93076\n13706 20625\n69781 100000\n66911 100000\n97095 100000\n95630 100000\n20970 31503\n72536 100000\n53776 80559\n86732 100000\n459 688\n51700 77452\n37465 56087\n50894 76249\n427 639\n19463 29246\n56160 84149\n62323 93464\n58761 88076\n16198 24328\n34398 51533\n8447 12707\n99549 100000\n87059 100000\n53248 79754\n95840 100000\n42320 63379\n51801 77601\n69367 100000\n22745 34157\n26362 39547\n29887 44780\n3406 5147\n22935 34439\n44672 66885\n10471 15755\n567 850\n796 1193\n6431 9700\n58344 87447\n68687 100000\n24876 37320\n91776 100000\n77368 100000\n27107 40636\n49898 74767\n33279 49859\n21854 32824\n54232 81241\n77574 100000\n63621 95416\n55450 83071\n18906 28392\n98443 100000\n26419 39633\n73098 100000\n99610 100000\n10873 16369\n92323 100000\n31287 46875\n87688 100000\n25585 38383\n59292 88879\n13495 20305\n40001 59882\n68481 100000\n54535 81699\n11787 17751\n65312 97981\n44699 66927\n19230 28896\n82191 100000\n81324 100000\n40968 61347\n13198 19864\n77646 100000\n16432 24674\n65955 98932\n5092 7694\n33106 49595\n66915 100000\n92332 100000\n30296 45402\n35957 53826\n6433 9703\n32693 48970\n92041 100000\n23569 35381\n78846 100000\n20881 31374\n29572 44317\n66455 99676\n30512 45723\n74335 100000\n73853 100000\n37361 55930\n10989 16545\n10154 15276\n81777 100000\n79146 100000\n98384 100000\n15937 23941\n43728 65465\n40861 61181\n33818 50661\n60271 90359\n81747 100000\n57147 85633\n80918 100000\n54202 81198\n58072 87045\n84000 100000\n639 954\n17239 25876\n82169 100000\n68393 100000\n76620 100000\n45824 68601\n12265 18463\n458 686\n89790 100000\n1839 2774\n1190 1782\n70013 100000\n15971 23987\n14791 22252\n73897 100000\n24632 36966\n43758 65511\n84477 100000\n65207 97825\n55218 82714\n47091 70499\n99194 100000\n37577 56251\n85620 100000\n58817 88156\n75015 100000\n82323 100000\n71839 100000\n11694 17611\n3746 5642\n87474 100000\n20138 30250\n12320 18542\n93558 100000\n32652 48905\n11176 16841\n43981 65828\n64439 96652\n31744 47558\n96238 100000\n68362 100000\n62864 94286\n15502 23303\n20445 30724\n15122 22741\n29079 43586\n43464 65073\n88459 100000\n70119 100000\n64453 96671\n46643 69837\n44723 66964\n76505 100000\n45425 68004\n28506 42737\n49471 74127\n27156 40710\n52057 77969\n23898 35861\n72326 100000\n41069 61494\n34048 51011\n22624 33977\n64692 97030\n35047 52477\n3585 5406\n11843 17832\n92364 100000\n66471 99703\n99678 100000\n68063 100000\n26954 40406\n80319 100000\n59178 88698\n56109 84073\n70914 100000\n35938 53798\n70431 100000\n29716 44523\n70845 100000\n51538 77222\n91668 100000\n25107 37666\n82801 100000\n99683 100000\n84693 100000\n11908 17921\n19131 28740\n50861 76200\n82269 100000\n7531 11351\n29644 44418\n3464 5227\n84880 100000\n4767 7200\n19551 29371\n59160 88672\n19743 29655\n36856 55181\n69286 100000\n21115 31718\n68067 100000\n20701 31101\n83577 100000\n85928 100000\n65974 98959\n80987 100000\n40016 59907\n41981 62870\n73955 100000\n16335 24529\n67567 100000\n36690 54944\n23055 34619\n7644 11517\n12232 18409\n5199 7848\n83663 100000\n5165 7800\n20807 31262\n30473 45665\n25619 38432\n43941 65768\n74608 100000\n55988 83884\n69435 100000\n52765 79032\n19302 29003\n33047 49509\n84572 100000\n61060 91542\n79726 100000\n2553 3870\n27018 40501\n7928 11941\n23628 35470\n76311 100000\n67206 100000\n56237 84264\n2678 4055\n44733 66979\n87684 100000\n59161 88674\n11719 17647\n39873 59690\n10554 15882\n52783 79059\n35986 53873\n19451 29228\n97964 100000\n13598 20462\n98250 100000\n71180 100000\n69454 100000\n10799 16261\n33598 50337\n47986 71858\n30739 46067\n69120 100000\n7465 11248\n96372 100000\n62163 93224\n40743 60998\n75130 100000\n13484 20291\n8600 12943\n1943 2936\n79909 100000\n21735 32641\n54466 81594\n56848 85195\n57490 86156\n70245 100000\n58563 87767\n57545 86247\n32696 48975\n70814 100000\n60684 90987\n76658 100000\n91119 100000\n73252 100000\n15604 23450\n65443 98172\n32007 47951\n10181 15318\n74165 100000\n33753 50566\n54801 82098\n12805 19273\n25792 38700\n27590 41366\n92690 100000\n67776 100000\n36254 54281\n29196 43749\n56943 85332\n62572 93841\n15532 23347\n75602 100000\n61222 91789\n40085 60015\n41542 62210\n35884 53717\n83142 100000\n58479 87647\n37726 56473\n18103 27183\n74266 100000\n49813 74636\n1985 2997\n25694 38547\n11202 16880\n27085 40605\n9821 14774\n50656 75894\n53737 80492\n71301 100000\n35112 52570\n68441 100000\n98975 100000\n77742 100000\n13442 20235\n47679 71388\n39525 59151\n62585 93861\n11417 17199\n83985 100000\n95674 100000\n25223 37839\n43034 64434\n22657 34023\n84901 100000\n32335 48432\n40434 60538\n50585 75789\n26590 39876\n55038 82439\n72376 100000\n78254 100000\n44509 66627\n45894 68709\n1564 2345\n81560 100000\n20108 30209\n68662 100000\n57336 85925\n34905 52269\n98013 100000\n16771 25175\n85643 100000\n11474 17282\n7321 11030\n36850 55171\n45793 68556\n3284 4966\n23532 35328\n14686 22092\n8811 13255\n64787 97177\n87710 100000\n9787 14719\n4192 6331\n37678 56400\n71513 100000\n56925 85306\n38273 57295\n91934 100000\n1359 2032\n6697 10113\n22585 33920\n16951 25446\n14782 22238\n39307 58832\n39905 59739\n31141 46650\n61765 92614\n88005 100000\n87031 100000\n82383 100000\n89910 100000\n55639 83360\n75356 100000\n37370 55943\n98262 100000\n11116 16746\n48190 72165\n55284 82816\n82644 100000\n13826 20794\n93548 100000\n35021 52436\n29015 43489\n82646 100000\n39572 59221\n97241 100000\n26635 39937\n53510 80146\n69060 100000\n89327 100000\n12959 19509\n72853 100000\n65464 98200\n4020 6062\n28879 43290\n95945 100000\n77215 100000\n28603 42885\n47782 71539\n51989 77868\n68997 100000\n76694 100000\n3718 5599\n75749 100000\n13441 20234\n43733 65473\n26391 39589\n99526 100000\n18010 27037\n91960 100000\n93538 100000\n77767 100000\n39662 59355\n49493 74163\n78835 100000\n55171 82642\n74371 100000\n45260 67756\n88145 100000\n73819 100000\n46270 69278\n73091 100000\n87202 100000\n2809 4244\n98332 100000\n87770 100000\n31390 47026\n16078 24145\n69337 100000\n56698 84967\n92847 100000\n42381 63475\n14355 21603\n9858 14832\n80993 100000\n74310 100000\n33301 49890\n71706 100000\n99540 100000\n99473 100000\n32323 48413\n64641 96955\n97661 100000\n63230 94823\n54864 82187\n18909 28396\n52510 78659\n69005 100000\n90191 100000\n56455 84589\n73662 100000\n46649 69845\n92646 100000\n60243 90315\n36237 54258\n62614 93904\n28041 42043\n8724 13124\n52759 79024\n79524 100000\n30886 46276\n97115 100000\n76324 100000\n22319 33526\n11467 17272\n82806 100000\n55067 82485\n78116 100000\n45646 68336\n24837 37258\n8851 13315\n76084 100000\n47402 70978\n51909 77754\n2049 3093\n88970 100000\n48497 72635\n19817 29767\n41149 61618\n1680 2522\n62268 93384\n21472 32247\n44242 66227\n99808 100000\n96692 100000\n12864 19363\n98143 100000\n625 933\n40802 61089\n65037 97561\n53188 79662\n99240 100000\n16194 24323\n89226 100000\n95596 100000\n54755 82031\n81495 100000\n59103 88584\n12196 18355\n1396 2085\n84507 100000\n46194 69154\n2262 3424\n29360 43996\n31196 46740\n96590 100000\n26925 40363\n28553 42810\n3132 4740\n40522 60670\n64565 96841\n56331 84403\n27416 41106\n4058 6123\n49960 74860\n74358 100000\n77631 100000\n90851 100000\n46362 69411\n22933 34437\n50445 75568\n58935 88330\n51627 77344\n33057 49523\n89895 100000\n64636 96948\n56794 85111\n54146 81115\n2801 4233\n12769 19222\n99407 100000\n32035 47987\n40135 60090\n31789 47625\n20707 31110\n59676 89469\n56816 85145\n39769 59518\n23963 35960\n17793 26711\n65799 98697\n88770 100000\n73222 100000\n20506 30811\n29058 43557\n6656 10044\n82635 100000\n12498 18816\n25119 37685\n13702 20619\n12699 19115\n75889 100000\n57013 85444\n86389 100000\n83986 100000\n48396 72484\n60048 90030\n90770 100000\n19597 29446\n20730 31150\n16742 25125\n2349 3558\n80277 100000\n1741 2615\n30987 46425\n58669 87927\n81764 100000\n6614 9981\n15657 23528\n19415 29177\n45046 67439\n67404 100000\n34243 51307\n73064 100000\n1096 1644\n29168 43714\n32379 48491\n44796 67073\n84541 100000\n76807 100000\n90007 100000\n3638 5485\n97524 100000\n39537 59169\n8446 12706\n90747 100000\n13063 19664\n38691 57907\n6211 9372\n97757 100000\n11033 16619\n36678 54928\n98914 100000\n44957 67313\n22039 33097\n88071 100000\n82794 100000\n46156 69097\n42239 63258\n85388 100000\n22618 33969\n70990 100000\n84691 100000\n33377 50003\n70741 100000\n52194 78172\n80716 100000\n30527 45744\n68490 100000\n68049 100000\n23417 35152\n9658 14523\n50652 75889\n14081 21198\n26056 39089\n46600 69778\n84606 100000\n23583 35403\n23048 34610\n93198 100000\n24772 37164\n93009 100000\n85201 100000\n63015 94504\n90704 100000\n33585 50314\n535 800\n89215 100000\n65609 98412\n15828 23781\n24076 36126\n43382 64957\n20929 31445\n71101 100000\n7127 10745\n5747 8666\n33040 49496\n92154 100000\n98640 100000\n24038 36071\n56996 85417\n90290 100000\n75663 100000\n97249 100000\n55589 83282\n2931 4436\n8513 12806\n68043 100000\n11336 17085\n33433 50089\n54491 81634\n66980 100000\n416 625\n42297 63346\n22119 33224\n46210 69178\n12298 18511\n11811 17789\n83086 100000\n28473 42688\n37275 55808\n63244 94846\n26707 40044\n25966 38956\n96418 100000\n15719 23624\n98587 100000\n47169 70622\n83903 100000\n33995 50931\n90720 100000\n37291 55833\n10822 16300\n94820 100000\n90998 100000\n92222 100000\n47032 70413\n6422 9687\n23053 34615\n94858 100000\n61194 91746\n94047 100000\n16580 24895\n3870 5830\n33812 50651\n87954 100000\n34496 51675\n64761 97135\n71146 100000\n5943 8980\n41129 61587\n24138 36224\n37996 56881\n99284 100000\n94420 100000\n66827 100000\n70216 100000\n5271 7956\n41940 62809\n19652 29526\n91701 100000\n29046 43539\n58893 88270\n45678 68383\n16099 24176\n53704 80440\n39700 59415\n67019 100000\n78829 100000\n92946 100000\n71011 100000\n92584 100000\n98517 100000\n78610 100000\n14966 22518\n93914 100000\n19787 29718\n74133 100000\n24023 36051\n25862 38805\n97066 100000\n52536 78700\n17015 25542\n28705 43031\n16578 24893\n35483 53119\n83215 100000\n21477 32255\n80172 100000\n17095 25659\n77085 100000\n97253 100000\n88513 100000\n54873 82199\n13022 19602\n21326 32021\n454 678\n75312 100000\n40192 60175\n86561 100000\n66972 100000\n81116 100000\n59964 89905\n55958 83840\n95289 100000\n36647 54881\n54395 81483\n42030 62940\n84037 100000\n79669 100000\n5683 8571\n58472 87637\n22539 33853\n352 529\n96494 100000\n36669 54916\n57489 86154\n30555 45789\n67256 100000\n15610 23459\n92138 100000\n20242 30414\n78626 100000\n96264 100000\n68348 100000\n85893 100000\n53001 79387\n45396 67959\n33660 50438\n27125 40662\n78633 100000\n8407 12650\n8963 13482\n66644 99966\n41391 61981\n28390 42566\n14819 22293\n89976 100000\n57961 86873\n18875 28344\n63946 95912\n25986 38981\n6360 9592\n47708 71429\n76605 100000\n70410 100000\n82366 100000\n50772 76069\n66142 99210\n91222 100000\n33984 50918\n12694 19107\n19914 29921\n11099 16722\n73350 100000\n13388 20154\n7400 11146\n23269 34932\n71485 100000\n36176 54162\n15915 23907\n28835 43222\n79318 100000\n73862 100000\n96272 100000\n50752 76041\n53279 79802\n28363 42524\n74323 100000\n47484 71097\n61647 92434\n57040 85480\n5352 8078\n73343 100000\n50524 75694\n87807 100000\n76937 100000\n94776 100000\n84432 100000\n77265 100000\n44474 66578\n14700 22114\n48526 72680\n41200 61698\n67551 100000\n23192 34820\n94879 100000\n55089 82522\n13604 20473\n95496 100000\n17624 26462\n24511 36784\n10785 16238\n85597 100000\n27504 41238\n49207 73719\n40839 61146\n59884 89785\n33043 49502\n71075 100000\n59579 89325\n17105 25673\n6856 10357\n63351 95003\n53338 79890\n81723 100000\n74558 100000\n15935 23937\n95659 100000\n51858 77680\n16146 24245\n81161 100000\n2051 3096\n3222 4874\n16183 24308\n18862 28325\n6096 9196\n21363 32085\n47387 70957\n92895 100000\n4781 7220\n24670 37020\n728 1087\n61444 92122\n48416 72516\n72664 100000\n45828 68606\n21256 31924\n18707 28082\n11147 16795\n25943 38922\n86975 100000\n67467 100000\n24188 36297\n18643 27984\n97 143\n94850 100000\n67577 100000\n26500 39749\n78387 100000\n65417 98132\n39469 59069\n66237 99351\n59536 89258\n91232 100000\n93339 100000\n13772 20717\n43785 65547\n33596 50333\n18425 27657\n65352 98038\n4630 6994\n20528 30841\n50796 76106\n16390 24612\n84524 100000\n98677 100000\n65224 97849\n46950 70283\n74659 100000\n88697 100000\n14244 21436\n85911 100000\n69086 100000\n10319 15527\n22738 34146\n33213 49757\n17033 25569\n12720 19146\n62616 93908\n73834 100000\n93035 100000\n57596 86328\n29833 44701\n12153 18285\n29894 44792\n21222 31873\n91023 100000\n12395 18657\n47812 71587\n5754 8678\n56273 84317\n58229 87272\n71199 100000\n9266 13938\n11641 17532\n97838 100000\n43686 65397\n69035 100000\n3930 5921\n27814 41700\n23098 34681\n88778 100000\n56710 84985\n31502 47190\n16826 25259\n5229 7891\n34406 51546\n61948 92898\n70259 100000\n13801 20756\n47289 70806\n35713 53463\n46701 69927\n31103 46593\n96935 100000\n54367 81445\n77812 100000\n46698 69923\n84586 100000\n91829 100000\n75651 100000\n37157 55630\n23562 35372\n38671 57874\n37696 56428\n41346 61914\n40267 60284\n11427 17214\n68693 100000\n96124 100000\n82291 100000\n41296 61841\n70783 100000\n23278 34945\n89132 100000\n40306 60339\n90093 100000\n83881 100000\n99383 100000\n1269 1900\n89593 100000\n10870 16365\n58193 87219\n12774 19230\n93389 100000\n80574 100000\n2341 3544\n7755 11680\n27266 40873\n33979 50908\n70796 100000\n436 651\n377 569\n99426 100000\n55977 83866\n72837 100000\n71659 100000\n93094 100000\n40279 60301\n65617 98424\n4383 6614\n50026 74957\n14076 21191\n33303 49892\n73870 100000\n50542 75723\n32395 48514\n36476 54627\n59645 89424\n91321 100000\n35746 53508\n49242 73771\n42178 63169\n63427 95112\n42901 64237\n2017 3042\n43502 65130\n53681 80406\n73420 100000\n75396 100000\n88933 100000\n24113 36183\n33945 50852\n92778 100000\n18770 28175\n26747 40101\n25714 38577\n14474 21771\n92268 100000\n99026 100000\n36516 54685\n99870 100000\n94602 100000\n35287 52826\n61771 92623\n98309 100000\n76485 100000\n90361 100000\n4901 7402\n20871 31358\n75606 100000\n46386 69445\n33659 50437\n25095 37650\n637 951\n68964 100000\n62021 93012\n3911 5891\n89880 100000\n79763 100000\n42905 64244\n48376 72455\n51289 76847\n21798 32736\n67041 100000\n29724 44535\n68085 100000\n4954 7484\n29822 44684\n26913 40349\n70750 100000\n47759 71505\n92347 100000\n35525 53184\n94029 100000\n52256 78266\n50578 75780\n85861 100000\n46096 69011\n50257 75295\n15923 23919\n24925 37388\n77722 100000\n15356 23094\n86814 100000\n73727 100000\n15972 23989\n13149 19791\n73170 100000\n92115 100000\n33231 49783\n34056 51023\n53337 79888\n66227 99337\n16240 24392\n25770 38666\n66602 99904\n37589 56268\n56438 84565\n83056 100000\n84928 100000\n72935 100000\n96477 100000\n50991 76397\n76268 100000\n73456 100000\n21986 33016\n3834 5777\n55845 83666\n2345 3551\n48749 73028\n22130 33239\n38252 57264\n17286 25946\n751 1123\n78757 100000\n14031 21116\n97091 100000\n34066 51039\n13915 20934\n17283 25941\n77535 100000\n35798 53584\n41429 62040\n33925 50824\n41759 62537\n47127 70555\n52416 78510\n22640 33998\n94464 100000\n33202 49741\n18063 27119\n40410 60499\n97628 100000\n24034 36065\n25960 38947\n4248 6415\n46749 69992\n2905 4397\n58584 87801\n91408 100000\n23187 34813\n40919 61275\n72701 100000\n71130 100000\n33630 50391\n22501 33798\n66951 100000\n7196 10848\n3418 5162\n2165 3272\n51507 77178\n48547 72714\n31463 47133\n77366 100000\n24356 36555\n22764 34186\n31442 47100\n68260 100000\n51318 76888\n44728 66970\n21777 32705\n90678 100000\n38094 57027\n10725 16145\n4143 6253\n30926 46336\n21693 32580\n49006 73412\n17386 26102\n68634 100000\n88313 100000\n7946 11969\n6529 9856\n9774 14698\n56913 85286\n66981 100000\n94449 100000\n55120 82569\n76821 100000\n98637 100000\n95040 100000\n50590 75796\n81371 100000\n79591 100000\n15961 23972\n30133 45148\n38704 57926\n22201 33351\n44248 66238\n850 1265\n41440 62056\n64567 96845\n79226 100000\n25004 37511\n85563 100000\n45769 68520\n66336 99503\n36879 55217\n84814 100000\n53015 79405\n23919 35893\n98263 100000\n95464 100000\n60557 90792\n21225 31876\n89369 100000\n42982 64365\n13321 20051\n20943 31464\n29917 44825\n39994 59871\n94290 100000\n96349 100000\n4299 6490\n69939 100000\n71660 100000\n87685 100000\n17277 25931\n50688 75944\n6292 9489\n75960 100000\n50530 75704\n70505 100000\n97236 100000\n18518 27798\n16316 24505\n69538 100000\n65623 98433\n23926 35903\n43888 65696\n68437 100000\n4562 6884\n89838 100000\n47417 70998\n53657 80370\n49042 73466\n14412 21685\n60184 90229\n77843 100000\n10626 15992\n51329 76907\n24372 36580\n1290 1931\n99761 100000\n79754 100000\n63972 95946\n38957 58312\n75622 100000\n83730 100000\n52059 77971\n63457 95157\n40320 60362\n57683 86457\n14029 21113\n87321 100000\n95933 100000\n72824 100000\n71605 100000\n39409 58990\n17685 26562\n65140 97720\n11595 17461\n89244 100000\n53877 80705\n60288 90385\n63819 95726\n36565 54757\n91148 100000\n50227 75251\n27821 41711\n35252 52773\n32755 49068\n47714 71435\n6833 10323\n53269 79787\n21092 31681\n62471 93696\n7620 11482\n43837 65622\n66983 100000\n16197 24327\n46813 70083\n67024 100000\n49969 74874\n39558 59200\n2102 3175\n76579 100000\n41704 62456\n95303 100000\n26798 40176\n64924 97391\n86581 100000\n78877 100000\n10843 16328\n50745 76029\n58003 86936\n37142 55609\n31072 46546\n27524 41267\n69614 100000\n63148 94704\n29546 44271\n40137 60093\n7973 12011\n52805 79096\n61448 92128\n68216 100000\n37795 56581\n43093 64525\n17362 26067\n92337 100000\n48664 72894\n72269 100000\n77541 100000\n83549 100000\n30308 45418\n87008 100000\n94694 100000\n15479 23269\n28715 43044\n75386 100000\n59843 89722\n53434 80034\n73505 100000\n49958 74856\n36012 53913\n75133 100000\n14681 22084\n23075 34650\n97821 100000\n27119 40654\n56011 83922\n32656 48913\n72521 100000\n33405 50047\n93101 100000\n29334 43958\n22564 33890\n16930 25419\n14398 21665\n36161 54137\n20407 30664\n34798 52114\n86337 100000\n49281 73828\n88653 100000\n79123 100000\n46407 69476\n68082 100000\n86580 100000\n29466 44155\n71960 100000\n25484 38230\n14141 21286\n94282 100000\n47953 71804\n47154 70595\n37931 56779\n42728 63985\n60907 91308\n49753 74545\n86054 100000\n24879 37324\n52915 79262\n35344 52911\n85363 100000\n31454 47118\n90301 100000\n88346 100000\n35505 53152\n97846 100000\n79284 100000\n21391 32124\n853 1269\n79796 100000\n35861 53681\n13863 20855\n48561 72737\n64725 97084\n45848 68641\n28810 43182\n56558 84749\n72645 100000\n52333 78389\n51290 76848\n42222 63233\n8453 12715\n815 1221\n70080 100000\n41316 61873\n38786 58052\n24203 36320\n47467 71071\n61888 92800\n89824 100000\n43058 64473\n50280 75330\n79919 100000\n63221 94810\n25571 38360\n60759 91100\n58840 88190\n22550 33870\n15139 22768\n49215 73730\n96187 100000\n85694 100000\n13725 20651\n92766 100000\n96153 100000\n3568 5383\n88748 100000\n84505 100000\n28190 42274\n91994 100000\n49979 74887\n44891 67216\n75011 100000\n53144 79601\n83809 100000\n51581 77280\n66795 100000\n21316 32006\n90228 100000\n63395 95068\n8010 12065\n9877 14862\n50609 75824\n10143 15261\n29844 44717\n41271 61805\n95678 100000\n77065 100000\n90523 100000\n59243 88799\n77520 100000\n35866 53689\n44079 65973\n43514 65148\n52958 79322\n32845 49205\n84548 100000\n90989 100000\n29630 44403\n89514 100000\n56923 85303\n48914 73280\n30826 46191\n40767 61033\n80109 100000\n47950 71801\n21213 31859\n95783 100000\n71264 100000\n17563 26369\n22081 33164\n11228 16921\n76597 100000\n24731 37109\n24611 36934\n18735 28119\n79078 100000\n77768 100000\n10158 15284\n80470 100000\n79000 100000\n92739 100000\n19239 28911\n49963 74864\n31043 46502\n3007 4556\n11535 17375\n98773 100000\n48300 72336\n57709 86497\n64983 97480\n82022 100000\n45991 68850\n65399 98104\n23446 35194\n23220 34863\n74814 100000\n62607 93894\n20674 31062\n74628 100000\n79874 100000\n92552 100000\n23601 35430\n4122 6220\n94094 100000\n19329 29045\n18131 27224\n1315 1965\n14108 21240\n18391 27608\n58348 87453\n70318 100000\n11523 17357\n81417 100000\n68451 100000\n83871 100000\n36957 55328\n50082 75039\n21762 32681\n17385 26101\n54817 82119\n42902 64239\n8626 12978\n95731 100000\n26562 39836\n16077 24143\n35700 53445\n732 1093\n56540 84722\n1298 1942\n50296 75352\n10453 15727\n12422 18698\n83677 100000\n16060 24117\n22437 33701\n75159 100000\n21221 31872\n98038 100000\n65288 97944\n24323 36502\n25198 37800\n35283 52822\n17444 26191\n90842 100000\n33874 50746\n74503 100000\n41398 61992\n66187 99275\n47376 70940\n72098 100000\n50146 75131\n70762 100000\n77755 100000\n54737 81999\n37872 56687\n82083 100000\n50655 75893\n46145 69079\n19535 29350\n59460 89137\n65439 98165\n17789 26706\n48522 72674\n56559 84751\n99118 100000\n32453 48602\n98746 100000\n74575 100000\n11969 18008\n28419 42609\n43741 65486\n1447 2162\n73368 100000\n36480 54633\n37857 56665\n33781 50607\n92136 100000\n69753 100000\n20858 31339\n76854 100000\n7139 10761\n40593 60778\n71623 100000\n59900 89809\n73419 100000\n97903 100000\n53477 80100\n30345 45471\n46785 70044\n21243 31904\n7906 11906\n69079 100000\n58342 87444\n59280 88861\n87475 100000\n47447 71044\n60092 90095\n43677 65385\n28752 43100\n24974 37461\n39874 59692\n24164 36264\n32337 48435\n48248 72257\n43525 65163\n84396 100000\n5947 8986\n14774 22226\n83165 100000\n47836 71625\n87695 100000\n56411 84527\n61121 91637\n89037 100000\n82476 100000\n73447 100000\n77974 100000\n90979 100000\n58839 88189\n24209 36328\n73600 100000\n27002 40474\n89314 100000\n37959 56823\n47328 70868\n19247 28921\n2465 3736\n59946 89879\n39378 58941\n62977 94452\n52257 78268\n18354 27557\n45764 68512\n78470 100000\n47785 71545\n79947 100000\n43365 64930\n84538 100000\n83233 100000\n45984 68842\n5678 8562\n20973 31507\n78418 100000\n56797 85115\n29723 44533\n95497 100000\n62673 93995\n27853 41755\n41638 62355\n60059 90046\n19533 29348\n37505 56143\n43559 65212\n12100 18206\n32664 48924\n86454 100000\n51111 76579\n5325 8036\n86805 100000\n23910 35878\n4044 6099\n42702 63947\n96517 100000\n9666 14536\n57 81\n74636 100000\n42272 63307\n23083 34660\n17171 25776\n91584 100000\n98269 100000\n33393 50029\n69168 100000\n41354 61925\n78239 100000\n41951 62826\n20753 31183\n68168 100000\n35598 53296\n93306 100000\n24457 36709\n86521 100000\n81679 100000\n61139 91663\n17569 26376\n72308 100000\n54388 81474\n2913 4410\n69650 100000\n94308 100000\n67937 100000\n23541 35341\n2973 4505\n54574 81757\n86974 100000\n30324 45442\n60319 90433\n92686 100000\n70723 100000\n24665 37011\n34310 51407\n33541 50250\n95557 100000\n83545 100000\n23738 35633\n83091 100000\n39344 58890\n98548 100000\n17202 25817\n44884 67204\n82152 100000\n17220 25845\n6767 10222\n11100 16724\n49863 74713\n14349 21594\n38710 57935\n39883 59708\n61152 91682\n89387 100000\n81200 100000\n20785 31229\n23519 35309\n9995 15035\n55925 83790\n23992 36004\n6970 10528\n60935 91346\n58985 88405\n81605 100000\n80203 100000\n85935 100000\n82365 100000\n95083 100000\n60286 90382\n62339 93485\n35891 53728\n12839 19325\n61824 92700\n98158 100000\n66651 99976\n30099 45094\n53624 80319\n65506 98261\n45723 68450\n99886 100000\n95007 100000\n50390 75495\n67799 100000\n23267 34929\n45577 68234\n39063 58478\n22737 34144\n71715 100000\n78298 100000\n23040 34598\n7820 11777\n5579 8413\n8174 12301\n20676 31065\n63005 94491\n21755 32670\n87461 100000\n59253 88816\n241 361\n86214 100000\n8577 12906\n21365 32088\n65719 98573\n63316 94954\n52850 79162\n62313 93452\n50781 76084\n92310 100000\n83715 100000\n61516 92236\n83622 100000\n69031 100000\n61399 92054\n2365 3584\n54559 81735\n10141 15259\n23082 34659\n48239 72243\n19695 29584\n60251 90326\n11393 17164\n71830 100000\n98530 100000\n72400 100000\n15398 23154\n29361 43998\n30911 46313\n65914 98874\n29957 44878\n57858 86713\n17306 25976\n18882 28356\n54240 81256\n27787 41659\n92305 100000\n57394 86007\n29558 44294\n7944 11965\n75360 100000\n28842 43234\n37476 56102\n75352 100000\n25852 38791\n74194 100000\n80857 100000\n5170 7807\n60130 90146\n73196 100000\n83088 100000\n62799 94186\n91376 100000\n66152 99224\n90843 100000\n5815 8778\n20433 30706\n31982 47916\n70595 100000\n59047 88497\n74655 100000\n86350 100000\n63612 95402\n42549 63720\n66949 100000\n97023 100000\n67058 100000\n23028 34580\n13268 19974\n28605 42889\n97484 100000\n48906 73266\n73195 100000\n14873 22376\n74453 100000\n8898 13383\n63829 95741\n48600 72797\n59409 89066\n34468 51634\n90891 100000\n87434 100000\n70912 100000\n29032 43516\n27389 41068\n27874 41785\n1067 1601\n80909 100000\n43224 64722\n49131 73606\n12854 19347\n18950 28460\n79987 100000\n33225 49774\n49271 73813\n5346 8068\n36675 54925\n78825 100000\n28653 42957\n16098 24174\n64818 97229\n87155 100000\n66105 99157\n92865 100000\n84732 100000\n97006 100000\n76115 100000\n69720 100000\n11329 17074\n14699 22113\n68575 100000\n42900 64235\n83372 100000\n3885 5851\n79528 100000\n58378 87497\n35355 52929\n47539 71180\n84961 100000\n32710 49000\n27693 41516\n84395 100000\n70301 100000\n91416 100000\n6225 9391\n52679 78903\n57620 86361\n26207 39317\n61431 92105\n73194 100000\n7142 10766\n53729 80480\n62842 94250\n11309 17043\n16772 25177\n65762 98642\n20460 30747\n11178 16843\n26205 39314\n4522 6822\n84482 100000\n56015 83927\n11882 17886\n1432 2140\n35242 52760\n8404 12646\n42630 63835\n44541 66676\n41040 61453\n14996 22563\n25525 38289\n27697 41522\n52304 78344\n20274 30460\n31180 46713\n81211 100000\n81017 100000\n84615 100000\n77069 100000\n73448 100000\n54698 81942\n74497 100000\n75495 100000\n83200 100000\n94993 100000\n21295 31976\n16592 24910\n90898 100000\n32319 48407\n56111 84075\n53229 79722\n51510 77182\n15885 23865\n2972 4503\n40739 60992\n97832 100000\n79087 100000\n40409 60497\n93242 100000\n17994 27013\n79680 100000\n51440 77074\n28923 43355\n76848 100000\n23838 35774\n39414 58997\n80422 100000\n7293 10986\n13134 19769\n4602 6950\n9555 14368\n54992 82372\n55699 83445\n97629 100000\n39999 59879\n99542 100000\n14554 21891\n14428 21707\n727 1085\n12479 18786\n79252 100000\n79781 100000\n86232 100000\n2190 3312\n29640 44413\n80029 100000\n18207 27335\n90046 100000\n92285 100000\n6900 10425\n83593 100000\n80089 100000\n26724 40068\n75346 100000\n10699 16105\n64505 96749\n84289 100000\n43234 64738\n62569 93837\n46539 69685\n86799 100000\n5277 7965\n48045 71947\n30526 45742\n48569 72748\n11046 16639\n73022 100000\n82123 100000\n98929 100000\n18237 27381\n62636 93938\n46317 69344\n10589 15935\n21548 32363\n37805 56598\n33243 49802\n63429 95114\n53937 80798\n67898 100000\n95559 100000\n38600 57777\n16429 24669\n72801 100000\n28779 43139\n85701 100000\n4117 6211\n92379 100000\n20076 30161\n31647 47409\n54048 80972\n42570 63751\n40516 60659\n41139 61602\n28980 43440\n36960 55332\n5315 8021\n55990 83887\n70616 100000\n19248 28923\n81297 100000\n60943 91359\n87300 100000\n77764 100000\n20665 31050\n97322 100000\n10710 16123\n83077 100000\n28870 43278\n68147 100000\n41702 62454\n45635 68319\n83139 100000\n47691 71406\n52905 79250\n76349 100000\n68264 100000\n87333 100000\n30528 45746\n46070 68966\n25038 37563\n53957 80830\n50734 76012\n58066 87034\n14652 22040\n4559 6879\n78577 100000\n534 798\n18134 27228\n10776 16223\n90350 100000\n44927 67269\n75930 100000\n75342 100000\n10312 15516\n16861 25314\n96565 100000\n58960 88367\n48109 72042\n11058 16658\n98973 100000\n16879 25339\n43915 65733\n69322 100000\n13276 19987\n99725 100000\n86631 100000\n97557 100000\n74139 100000\n33617 50370\n39595 59255\n69007 100000\n99304 100000\n95830 100000\n7989 12037\n97272 100000\n57333 85921\n8585 12918\n93595 100000\n71125 100000\n86751 100000\n4836 7303\n32694 48972\n85725 100000\n77165 100000\n44744 66996\n22168 33297\n85484 100000\n59286 88871\n44494 66606\n74891 100000\n62975 94449\n25216 37826\n75093 100000\n47821 71603\n73893 100000\n90626 100000\n54182 81168\n49583 74288\n8152 12267\n64430 96641\n1969 2975\n69380 100000\n93113 100000\n27624 41416\n84674 100000\n46242 69233\n6646 10028\n58347 87452\n44772 67037\n67947 100000\n35312 52863\n12673 19076\n75580 100000\n4349 6564\n91587 100000\n15324 23042\n40945 61312\n93257 100000\n24468 36726\n38578 57746\n58473 87638\n23603 35434\n43664 65368\n40494 60629\n20843 31314\n32947 49360\n69175 100000\n87928 100000\n72728 100000\n742 1108\n22093 33184\n28772 43129\n3296 4984\n1927 2913\n34051 51016\n41545 62214\n15033 22616\n65293 97952\n7143 10767\n19163 28792\n20007 30062\n58727 88018\n63296 94925\n95672 100000\n90073 100000\n22304 33506\n77719 100000\n54850 82167\n84984 100000\n64911 97371\n92741 100000\n76027 100000\n62950 94412\n35227 52736\n71733 100000\n69068 100000\n16370 24580\n21331 32029\n12309 18527\n40515 60658\n89292 100000\n89412 100000\n22419 33674\n46871 70162\n35770 53544\n8317 12519\n86759 100000\n84256 100000\n75090 100000\n32814 49160\n33417 50066\n7734 11649\n11237 16935\n55836 83653\n68615 100000\n44762 67021\n98889 100000\n99555 100000\n61896 92812\n9133 13730\n90858 100000\n53716 80460\n91992 100000\n6890 10408\n32861 49229\n48699 72948\n38977 58345\n117 168\n59629 89400\n63246 94849\n59945 89878\n68975 100000\n46911 70226\n32274 48342\n99807 100000\n9912 14913\n52698 78929\n33124 49618\n39435 59026\n44674 66887\n51944 77801\n7898 11892\n42816 64113\n59315 88915\n83094 100000\n1657 2483\n17966 26973\n29473 44165\n81776 100000\n56147 84130\n73156 100000\n561 841\n37063 55488\n38679 57886\n99252 100000\n17075 25629\n74117 100000\n48536 72696\n24066 36110\n97420 100000\n46988 70342\n76426 100000\n20169 30298\n75221 100000\n61892 92806\n19612 29467\n6256 9436\n15966 23980\n78859 100000\n91626 100000\n58827 88171\n17313 25988\n84666 100000\n54479 81613\n76995 100000\n6710 10134\n19642 29513\n98027 100000\n32900 49293\n33820 50665\n60397 90551\n38798 58071\n15898 23885\n77130 100000\n30116 45120\n84935 100000\n72834 100000\n87214 100000\n93221 100000\n31333 46945\n62176 93242\n53797 80590\n90981 100000\n58039 86991\n80142 100000\n66082 99121\n60249 90324\n66159 99233\n66297 99442\n6956 10507\n75449 100000\n11049 16645\n40755 61015\n16792 25210\n40355 60417\n1734 2603\n64657 96982\n93730 100000\n27062 40569\n11739 17680\n18299 27474\n96450 100000\n37132 55596\n60813 91173\n93709 100000\n86836 100000\n36187 54180\n9708 14597\n62113 93149\n46011 68879\n50919 76287\n6486 9787\n49760 74554\n16942 25434\n26664 39975\n35295 52837\n40506 60645\n51958 77825\n72568 100000\n83767 100000\n65565 98347\n41546 62216\n30557 45793\n52040 77943\n3297 4985\n37888 56713\n45139 67576\n77290 100000\n54145 81113\n15418 23183\n1563 2343\n64744 97109\n72845 100000\n59261 88830\n75083 100000\n30046 45020\n63914 95866\n92960 100000\n9455 14218\n26348 39526\n21758 32675\n95649 100000\n62727 94083\n37718 56459\n43784 65546\n25752 38634\n15012 22586\n89445 100000\n96375 100000\n29368 44011\n15867 23836\n11571 17426\n53109 79551\n8487 12765\n28551 42808\n30389 45539\n2578 3907\n97119 100000\n30436 45611\n66481 99717\n1484 2220\n70767 100000\n52329 78383\n60666 90960\n52729 78979\n3352 5069\n22673 34046\n79811 100000\n2899 4385\n48229 72228\n19481 29274\n8676 13052\n64416 96621\n42390 63487\n98047 100000\n33035 49489\n61487 92193\n17060 25605\n95865 100000\n10803 16269\n1900 2870\n89848 100000\n71320 100000\n85799 100000\n37311 55861\n60977 91412\n86386 100000\n80322 100000\n16900 25372\n6910 10438\n5750 8670\n30505 45712\n21058 31630\n48636 72853\n31590 47322\n67402 100000\n72213 100000\n82548 100000\n16349 24551\n42621 63823\n77082 100000\n27391 41070\n33111 49601\n30587 45841\n22097 33190\n15145 22778\n44104 66010\n98271 100000\n91502 100000\n19569 29400\n59523 89238\n5376 8116\n92130 100000\n68282 100000\n25315 37972\n37073 55502\n5926 8953\n34098 51091\n15497 23296\n29074 43580\n58952 88354\n72306 100000\n55258 82776\n44570 66720\n28371 42537\n44343 66380\n80384 100000\n26097 39150\n62917 94362\n25924 38894\n61303 91910\n28309 42445\n99158 100000\n75873 100000\n26946 40395\n95063 100000\n3708 5584\n35511 53160\n98462 100000\n19242 28915\n22020 33068\n45039 67429\n64087 96121\n68092 100000\n54869 82194\n69329 100000\n30649 45935\n70825 100000\n78624 100000\n38641 57833\n76748 100000\n98420 100000\n16925 25409\n73711 100000\n89088 100000\n35495 53137\n4585 6924\n75382 100000\n6741 10182\n88625 100000\n47835 71623\n8977 13503\n11763 17716\n85973 100000\n65712 98562\n56195 84202\n31288 46877\n86690 100000\n50564 75759\n67513 100000\n44482 66589\n82066 100000\n66754 100000\n6860 10362\n88493 100000\n66484 99723\n79766 100000\n41573 62254\n15495 23293\n50870 76211\n8869 13340\n11238 16936\n33836 50689\n6494 9799\n24813 37220\n1590 2383\n60157 90186\n57508 86185\n57604 86339\n17544 26341\n72216 100000\n54571 81752\n46250 69245\n40907 61257\n68937 100000\n3707 5582\n44327 66356\n91449 100000\n5776 8715\n55827 83639\n37083 55522\n21323 32016\n77675 100000\n14544 21876\n66938 100000\n29274 43868\n87024 100000\n41455 62078\n74870 100000\n79009 100000\n35195 52686\n59489 89186\n12762 19209\n54007 80906\n48462 72587\n74564 100000\n23474 35237\n70973 100000\n91010 100000\n82422 100000\n90534 100000\n10397 15646\n83398 100000\n48615 72821\n68055 100000\n28918 43347\n63430 95116\n88204 100000\n72806 100000\n85385 100000\n46399 69463\n6699 10117\n98017 100000\n35778 53557\n92235 100000\n62050 93052\n97699 100000\n16853 25300\n97737 100000\n69618 100000\n47630 71314\n89422 100000\n55768 83551\n40419 60512\n32173 48190\n76518 100000\n20848 31323\n89074 100000\n86603 100000\n77270 100000\n9173 13796\n44577 66729\n2243 3394\n42084 63024\n1089 1633\n27608 41391\n46504 69629\n21275 31949\n4588 6929\n21759 32676\n29981 44915\n69775 100000\n41373 61951\n7807 11757\n55709 83461\n52594 78783\n17549 26349\n26263 39401\n41273 61807\n36116 54068\n35881 53713\n39821 59609\n27669 41483\n74316 100000\n22023 33072\n88793 100000\n14054 21150\n43485 65106\n67260 100000\n7743 11663\n37684 56410\n6290 9486\n71233 100000\n57662 86422\n99030 100000\n71860 100000\n87177 100000\n45146 67587\n37352 55917\n53060 79480\n8619 12969\n51168 76665\n78686 100000\n88634 100000\n49831 74666\n3167 4794\n60161 90193\n22603 33947\n1907 2881\n2967 4495\n39598 59259\n67601 100000\n93881 100000\n56908 85280\n42765 64039\n22594 33933\n25009 37520\n29336 43961\n33143 49646\n2127 3214\n60636 90915\n42531 63694\n21212 31858\n91687 100000\n50969 76364\n10566 15898\n55737 83505\n54004 80902\n73197 100000\n26373 39564\n62840 94247\n28913 43339\n73109 100000\n1144 1717\n6375 9617\n3789 5709\n69541 100000\n70183 100000\n29508 44215\n84700 100000\n70827 100000\n55182 82661\n27233 40828\n42434 63549\n82860 100000\n8109 12207\n616 920\n47457 71057\n3869 5829\n91883 100000\n18945 28452\n26768 40133\n6880 10392\n92586 100000\n18120 27209\n83651 100000\n89285 100000\n89597 100000\n72683 100000\n62790 94172\n21622 32476\n19243 28916\n29632 44405\n76438 100000\n48002 71882\n28115 42162\n88065 100000\n42735 63995\n77180 100000\n8121 12223\n79053 100000\n77402 100000\n93446 100000\n36963 55338\n79490 100000\n48935 73307\n70412 100000\n43646 65344\n56894 85260\n52096 78028\n87532 100000\n60235 90302\n41706 62458\n87927 100000\n58933 88327\n76684 100000\n95993 100000\n65907 98866\n45010 67386\n52758 79022\n59941 89871\n97558 100000\n36783 55080\n61579 92337\n70598 100000\n326 489\n49482 74143\n97240 100000\n72884 100000\n81782 100000\n61315 91926\n74256 100000\n66624 99935\n89087 100000\n73328 100000\n86114 100000\n87178 100000\n21333 32032\n99182 100000\n91909 100000\n72998 100000\n24771 37163\n62299 93434\n112 163\n24068 36114\n63624 95420\n29008 43478\n88628 100000\n41665 62396\n74844 100000\n48166 72127\n63680 95509\n97433 100000\n93466 100000\n40445 60555\n31465 47135\n43043 64448\n9486 14265\n43463 65072\n14073 21185\n10951 16490\n45021 67402\n14811 22281\n43282 64810\n99047 100000\n37844 56647\n98387 100000\n27455 41166\n89707 100000\n84092 100000\n44715 66953\n96292 100000\n89073 100000\n56039 83964\n78950 100000\n54933 82289\n90715 100000\n46702 69929\n626 934\n40263 60278\n89916 100000\n85808 100000\n38770 58025\n62467 93690\n71342 100000\n99199 100000\n22270 33458\n34504 51689\n18487 27753\n4318 6515\n53616 80308\n39612 59279\n21383 32113\n58886 88259\n82988 100000\n1881 2840\n41012 61410\n33258 49826\n17062 25609\n65589 98380\n96419 100000\n29884 44775\n53478 80101\n36446 54583\n21707 32600\n56673 84930\n79426 100000\n94643 100000\n90458 100000\n27567 41333\n44712 66948\n88392 100000\n11685 17599\n2152 3255\n87700 100000\n42975 64355\n4403 6644\n81013 100000\n98304 100000\n218 326\n82399 100000\n50784 76089\n10373 15611\n99824 100000\n9338 14047\n46326 69359\n90152 100000\n63068 94580\n27868 41776\n55780 83569\n48851 73182\n59432 89104\n38664 57866\n73392 100000\n7694 11589\n43264 64784\n5050 7623\n93091 100000\n92300 100000\n86481 100000\n17442 26187\n90260 100000\n62670 93990\n13494 20304\n80790 100000\n53794 80585\n74667 100000\n17435 26178\n67208 100000\n7360 11088\n75248 100000\n42710 63958\n24455 36706\n8244 12409\n88489 100000\n19337 29059\n1559 2335\n73228 100000\n31569 47288\n18644 27986\n92081 100000\n18810 28241\n5725 8632\n17579 26395\n92155 100000\n63321 94961\n74220 100000\n4272 6450\n40548 60711\n16420 24655\n31047 46508\n27039 40536\n58514 87699\n18313 27496\n38316 57361\n89310 100000\n89105 100000\n68586 100000\n92053 100000\n69358 100000\n62167 93231\n44526 66653\n27134 40677\n6432 9701\n71588 100000\n48499 72638\n45643 68331\n53543 80197\n32838 49195\n15080 22681\n81917 100000\n16994 25512\n75344 100000\n21444 32207\n54889 82223\n92038 100000\n83548 100000\n88615 100000\n72562 100000\n78844 100000\n96997 100000\n93897 100000\n78502 100000\n64607 96907\n86351 100000\n76644 100000\n78531 100000\n56615 84841\n79915 100000\n39644 59328\n43528 65166\n51530 77210\n17007 25531\n47133 70564\n361 544\n82982 100000\n85405 100000\n81815 100000\n428 641\n95042 100000\n21801 32740\n86691 100000\n24174 36279\n78928 100000\n25384 38076\n16037 24082\n60874 91258\n88447 100000\n62318 93458\n52095 78027\n42526 63685\n86738 100000\n53363 79927\n28500 42728\n97218 100000\n63064 94573\n66397 99584\n28911 43337\n39262 58770\n78740 100000\n52741 78997\n61248 91830\n70599 100000\n49154 73640\n38319 57367\n78759 100000\n48954 73332\n50019 74947\n58020 86964\n55188 82671\n68913 100000\n82947 100000\n64800 97199\n6439 9713\n80972 100000\n58689 87959\n79480 100000\n12335 18564\n75494 100000\n52151 78105\n56412 84528\n77792 100000\n39229 58721\n64942 97417\n77012 100000\n50929 76304\n61021 91482\n43404 64988\n64992 97493\n72008 100000\n80794 100000\n65440 98166\n94942 100000\n5568 8397\n64985 97484\n21419 32169\n7984 12030\n75931 100000\n27598 41378\n68902 100000\n7834 11796\n12574 18931\n17543 26339\n63029 94526\n63719 95566\n55884 83728\n6217 9379\n60613 90877\n32339 48438\n91967 100000\n50238 75268\n55020 82416\n28239 42345\n76236 100000\n19584 29423\n99565 100000\n53911 80756\n51685 77429\n29655 44435\n81809 100000\n73251 100000\n36006 53904\n88758 100000\n73996 100000\n51218 76741\n45045 67437\n83006 100000\n56690 84956\n69747 100000\n22300 33500\n81849 100000\n38915 58248\n39033 58433\n84411 100000\n89081 100000\n30613 45880\n72564 100000\n98119 100000\n26693 40027\n613 917\n56082 84031\n71676 100000\n45296 67810\n55608 83307\n1401 2091\n22066 33140\n81570 100000\n91288 100000\n87842 100000\n79430 100000\n49652 74392\n28356 42514\n95561 100000\n94696 100000\n94402 100000\n37673 56393\n9857 14831\n15270 22962\n64792 97186\n64975 97468\n46628 69816\n39062 58477\n35998 53891\n81056 100000\n36348 54429\n22030 33082\n27010 40489\n84854 100000\n45192 67658\n26340 39515\n8781 13209\n57565 86279\n23392 35114\n78350 100000\n98682 100000\n55176 82649\n51350 76941\n94888 100000\n28221 42318\n20773 31212\n155 226\n30318 45432\n51781 77568\n61887 92798\n44685 66904\n40813 61106\n18110 27195\n66289 99430\n48786 73085\n96342 100000\n78434 100000\n13124 19752\n45780 68533\n42172 63159\n88185 100000\n52428 78530\n7374 11110\n9261 13932\n52253 78262\n20761 31196\n9574 14396\n50180 75179\n45317 67841\n90602 100000\n12288 18496\n44075 65967\n95066 100000\n79355 100000\n47742 71481\n2703 4095\n55703 83453\n72058 100000\n3104 4700\n82397 100000\n81598 100000\n25063 37603\n47164 70614\n19184 28824\n82426 100000\n57716 86509\n57677 86446\n70561 100000\n7917 11924\n73018 100000\n68328 100000\n5663 8539\n19625 29488\n59016 88449\n47542 71183\n17190 25801\n14198 21373\n92885 100000\n1809 2729\n59539 89262\n95286 100000\n47462 71063\n58325 87420\n94860 100000\n26803 40183\n84394 100000\n75124 100000\n81663 100000\n16462 24718\n93640 100000\n68416 100000\n58133 87134\n36191 54187\n13508 20323\n28243 42351\n97577 100000\n24795 37197\n98788 100000\n28148 42209\n34655 51899\n5557 8381\n10777 16225\n79792 100000\n19937 29958\n34988 52389\n89497 100000\n74320 100000\n35501 53145\n9966 14991\n36572 54768\n21551 32368\n44727 66969\n81340 100000\n79162 100000\n40551 60716\n22850 34311\n16057 24112\n52024 77921\n47817 71597\n52548 78717\n95201 100000\n82997 100000\n86065 100000\n31378 47011\n9738 14642\n22102 33198\n26831 40225\n73453 100000\n69512 100000\n38354 57421\n80733 100000\n43398 64980\n45330 67860\n57791 86613\n3329 5035\n25859 38801\n10679 16075\n66622 99933\n68170 100000\n96747 100000\n61800 92667\n26256 39391\n32380 48493\n31005 46450\n80137 100000\n1072 1606\n43205 64692\n55348 82916\n51490 77149\n21865 32839\n22711 34107\n39116 58556\n20590 30937\n54315 81366\n99196 100000\n35816 53611\n69346 100000\n50687 75942\n6205 9364\n44237 66218\n89384 100000\n26512 39762\n14865 22364\n25968 38958\n74797 100000\n6215 9377\n21232 31886\n64616 96922\n87926 100000\n113 164\n8018 12077\n56223 84244\n2193 3315\n96883 100000\n51212 76730\n92597 100000\n51805 77607\n58836 88186\n39879 59701\n92036 100000\n7839 11804\n89528 100000\n49349 73934\n35055 52489\n55190 82673\n62689 94019\n30871 46258\n57048 85491\n50583 75786\n88740 100000\n53003 79390\n16582 24898\n70098 100000\n88787 100000\n65739 98606\n17204 25821\n75688 100000\n50819 76138\n20800 31250\n62324 93465\n21008 31552\n90023 100000\n12209 18374\n16314 24502\n62878 94307\n99262 100000\n44018 65884\n95825 100000\n32980 49407\n71938 100000\n27917 41850\n61347 91973\n99778 100000\n6316 9528\n60156 90185\n92621 100000\n94015 100000\n87506 100000\n70129 100000\n24626 36958\n94996 100000\n43808 65577\n2282 3452\n36650 54886\n42474 63611\n61446 92125\n16164 24277\n64769 97146\n37084 55524\n22147 33267\n57532 86225\n88431 100000\n1 2\n20253 30431\n52396 78478\n9838 14801\n4558 6878\n10618 15979\n92330 100000\n94572 100000\n85075 100000\n4381 6611\n90418 100000\n17271 25921\n84650 100000\n50450 75575\n70809 100000\n94419 100000\n26064 39100\n34542 51739\n9048 13599\n70420 100000\n85592 100000\n59045 88494\n28241 42349\n15352 23088\n23647 35496\n27012 40492\n3359 5077\n59540 89264\n48570 72749\n78930 100000\n9380 14110\n62893 94327\n94814 100000\n55286 82820\n74288 100000\n84922 100000\n17987 27003\n11861 17858\n53255 79763\n47810 71584\n88961 100000\n34774 52078\n86444 100000\n11454 17252\n52266 78282\n34689 51947\n54494 81639\n16104 24183\n61064 91549\n30339 45464\n78912 100000\n10759 16199\n58745 88047\n29054 43552\n48696 72944\n68993 100000\n63299 94928\n68743 100000\n52725 78974\n6730 10165\n29855 44733\n20341 30559\n35578 53271\n83694 100000\n14965 22516\n93015 100000\n84707 100000\n93253 100000\n9121 13711\n52738 78993\n93426 100000\n7347 11066\n70112 100000\n73599 100000\n47262 70767\n5722 8626\n42317 63375\n13314 20041\n1479 2213\n68614 100000\n68130 100000\n93134 100000\n7340 11056\n33325 49924\n94961 100000\n11428 17216\n72914 100000\n12523 18853\n11853 17846\n74197 100000\n36793 55093\n4006 6037\n88350 100000\n78123 100000\n85409 100000\n64889 97337\n1182 1771\n25025 37547\n23132 34732\n48235 72237\n85194 100000\n2050 3094\n16440 24686\n83173 100000\n94488 100000\n82082 100000\n7040 10621\n87263 100000\n55260 82779\n74451 100000\n76213 100000\n82052 100000\n79516 100000\n68882 100000\n16458 24712\n63061 94570\n18918 28411\n50211 75227\n59431 89103\n34952 52336\n92678 100000\n93022 100000\n40946 61314\n11359 17114\n1611 2412\n43938 65764\n94661 100000\n11325 17069\n77854 100000\n31804 47646\n23319 35005\n80739 100000\n26546 39812\n46298 69320\n3251 4915\n7037 10618\n92956 100000\n13966 21012\n92409 100000\n41889 62739\n17120 25692\n96413 100000\n50505 75665\n75164 100000\n84659 100000\n40044 59951\n51949 77811\n29375 44019\n937 1401\n62877 94305\n63157 94715\n34534 51728\n24842 37264\n23232 34878\n84246 100000\n80834 100000\n1545 2311\n59803 89664\n9139 13742\n27680 41500\n64712 97062\n33404 50045\n48135 72079\n908 1352\n51063 76504\n91199 100000\n1546 2313\n87868 100000\n53221 79709\n64223 96333\n78640 100000\n87399 100000\n72527 100000\n51107 76572\n89896 100000\n91235 100000\n2401 3642\n62141 93189\n12586 18949\n75838 100000\n3032 4597\n84736 100000\n70740 100000\n59354 88975\n77182 100000\n76832 100000\n90072 100000\n57215 85734\n66930 100000\n89446 100000\n65680 98512\n60765 91107\n16848 25291\n41593 62285\n70349 100000\n62134 93178\n841 1255\n20459 30746\n52237 78239\n37366 55937\n54426 81533\n40132 60085\n1007 1509\n63802 95698\n92544 100000\n1562 2341\n52991 79372\n39453 59051\n95777 100000\n49540 74226\n55852 83677\n49608 74328\n85253 100000\n87125 100000\n70995 100000\n21691 32577\n12809 19280\n93336 100000\n19031 28583\n45145 67585\n97258 100000\n1560 2337\n23445 35193\n31700 47494\n70706 100000\n91877 100000\n18329 27519\n19531 29346\n8690 13074\n60550 90783\n28365 42526\n72501 100000\n89684 100000\n90027 100000\n87400 100000\n12492 18807\n47563 71215\n9056 13610\n51125 76598\n780 1167\n37563 56232\n72673 100000\n39701 59417\n67645 100000\n22878 34352\n20452 30736\n36618 54835\n70883 100000\n13641 20531\n66326 99488\n19041 28598\n42052 62976\n51457 77101\n16943 25435\n9185 13814\n36630 54852\n32764 49080\n94650 100000\n13010 19587\n69901 100000\n14199 21374\n19075 28648\n9077 13638\n88936 100000\n72223 100000\n28844 43238\n37444 56052\n3353 5070\n55926 83791\n93414 100000\n92410 100000\n27770 41632\n33591 50324\n11360 17116\n14221 21406\n37952 56811\n45633 68317\n44034 65908\n89769 100000\n34069 51043\n10847 16332\n429 643\n84846 100000\n28133 42188\n29839 44710\n28055 42063\n68644 100000\n28343 42495\n33865 50732\n54342 81409\n87943 100000\n28728 43065\n72874 100000\n98077 100000\n74654 100000\n87503 100000\n11538 17379\n69810 100000\n63492 95214\n62720 94072\n84682 100000\n40470 60593\n81406 100000\n59962 89903\n95782 100000\n30380 45523\n36640 54871\n63175 94741\n82111 100000\n8782 13211\n35420 53025\n71818 100000\n36795 55096\n92425 100000\n85743 100000\n67101 100000\n97844 100000\n68074 100000\n23185 34811\n72484 100000\n60510 90725\n17367 26074\n31358 46981\n97478 100000\n41105 61550\n19012 28556\n84480 100000\n10908 16428\n70122 100000\n66364 99542\n97835 100000\n89173 100000\n29968 44895\n19480 29272\n20802 31254\n51221 76746\n46237 69226\n27902 41826\n80551 100000\n5485 8277\n85497 100000\n25295 37942\n65105 97663\n86255 100000\n26215 39329\n20223 30384\n6796 10265\n15631 23490\n79789 100000\n4627 6990\n23638 35483\n26679 40003\n43451 65055\n32556 48757\n61058 91538\n93410 100000\n72840 100000\n2103 3176\n47205 70678\n92440 100000\n89390 100000\n22088 33176\n5867 8862\n86644 100000\n49218 73736\n65673 98502\n88934 100000\n6275 9464\n1712 2570\n93439 100000\n6694 10107\n19954 29981\n63344 94993\n40340 60391\n33775 50599\n71628 100000\n11111 16738\n35583 53279\n67254 100000\n57450 86093\n57370 85973\n4503 6794\n64375 96557\n98348 100000\n4617 6975\n61657 92449\n77359 100000\n47722 71445\n36183 54174\n58153 87165\n9220 13868\n23667 35526\n70673 100000\n77090 100000\n77875 100000\n17144 25732\n81873 100000\n5296 7993\n68753 100000\n7553 11383\n12371 18624\n22754 34170\n2058 3107\n57927 86824\n19111 28711\n33837 50691\n201 299\n49031 73449\n34168 51197\n40540 60699\n95424 100000\n50866 76207\n18675 28032\n24596 36911\n51254 76794\n75055 100000\n56959 85358\n7761 11688\n96154 100000\n1963 2964\n18799 28221\n1380 2062\n65241 97873\n82929 100000\n97983 100000\n9104 13682\n62316 93456\n51760 77539\n40624 60828\n29089 43603\n15455 23236\n97566 100000\n72969 100000\n92910 100000\n47583 71245\n39172 58640\n47616 71294\n26192 39296\n35380 52963\n55738 83507\n66521 99780\n52144 78096\n17486 26254\n60840 91213\n95748 100000\n99140 100000\n97952 100000\n40709 60949\n93272 100000\n57992 86919\n46900 70209\n94600 100000\n71973 100000\n75739 100000\n27572 41340\n42074 63010\n82702 100000\n97936 100000\n24168 36269\n96059 100000\n12229 18404\n18529 27813\n10665 16051\n63518 95253\n68405 100000\n43077 64503\n97568 100000\n83331 100000\n64151 96218\n19565 29393\n30142 45162\n24109 36178\n42732 63991\n72158 100000\n37195 55689\n55131 82583\n3636 5482\n38839 58136\n42384 63478\n23339 35034\n94713 100000\n18165 27272\n61857 92751\n62048 93050\n37823 56620\n49454 74102\n75640 100000\n401 605\n78443 100000\n64390 96579\n34467 51632\n89184 100000\n76414 100000\n49917 74793\n36496 54658\n84762 100000\n80988 100000\n22994 34528\n4437 6696\n57446 86089\n63907 95856\n67618 100000\n72113 100000\n92333 100000\n75585 100000\n53603 80291\n12218 18388\n44993 67363\n53234 79730\n90001 100000\n52213 78203\n47116 70539\n20117 30222\n83890 100000\n67957 100000\n13166 19817\n27809 41692\n50373 75471\n16145 24244\n62483 93711\n23140 34747\n4126 6226\n93365 100000\n81916 100000\n51546 77233\n52319 78369\n17573 26384\n41009 61407\n45326 67854\n81022 100000\n10592 15940\n87646 100000\n69012 100000\n82371 100000\n10890 16398\n1254 1876\n56539 84720\n85273 100000\n7032 10612\n46265 69270\n58200 87230\n30630 45905\n55282 82812\n26886 40309\n91033 100000\n97368 100000\n99669 100000\n29706 44505\n34252 51319\n74210 100000\n17712 26599\n83846 100000\n44834 67128\n55625 83337\n51784 77572\n6323 9540\n14772 22222\n4622 6982\n32688 48962\n44768 67030\n71395 100000\n70135 100000\n74729 100000\n672 1004\n7945 11967\n11128 16761\n18572 27881\n30023 44983\n88867 100000\n35632 53344\n78290 100000\n86609 100000\n48979 73374\n3166 4792\n41048 61462\n88537 100000\n95863 100000\n85963 100000\n19891 29885\n50402 75509\n4524 6824\n51718 77477\n75318 100000\n85257 100000\n20614 30969\n73119 100000\n14496 21804\n37121 55577\n94022 100000\n6610 9976\n65897 98848\n91140 100000\n78847 100000\n61853 92745\n59874 89771\n53024 79419\n30686 45993\n23114 34704\n39496 59109\n75026 100000\n34686 51941\n1954 2951\n12872 19377\n72182 100000\n62618 93912\n21740 32647\n45575 68232\n15312 23019\n75348 100000\n1123 1684\n32238 48289\n2291 3464\n27043 40542\n64267 96397\n27869 41778\n26611 39903\n38830 58121\n73540 100000\n53778 80561\n88550 100000\n38310 57351\n64107 96151\n28647 42949\n73746 100000\n49028 73444\n85985 100000\n52940 79300\n79689 100000\n98417 100000\n18698 28067\n6630 10006\n86328 100000\n99056 100000\n54741 82006\n29596 44354\n22815 34259\n44919 67259\n72970 100000\n66309 99460\n48632 72848\n8350 12568\n10083 15171\n30579 45827\n2177 3292\n87380 100000\n36174 54158\n39245 58745\n28838 43227\n48136 72081\n91922 100000\n86882 100000\n38458 57576\n77266 100000\n62039 93035\n13638 20526\n28442 42642\n84737 100000\n54228 81237\n33658 50436\n18806 28234\n58612 87840\n20061 30136\n91704 100000\n85609 100000\n33517 50214\n98881 100000\n50465 75600\n24888 37338\n11546 17390\n99852 100000\n29589 44343\n67451 100000\n82720 100000\n92233 100000\n66582 99874\n35058 52494\n11959 17995\n67691 100000\n62851 94265\n39269 58779\n87157 100000\n26346 39523\n29493 44194\n13500 20312\n93435 100000\n14973 22527\n2668 4038\n54393 81481\n7860 11834\n51608 77319\n89337 100000\n15054 22645\n58482 87652\n74736 100000\n12772 19227\n29889 44783\n25021 37540\n32416 48546\n39163 58625\n58860 88222\n95435 100000\n35256 52780\n24073 36122\n85340 100000\n70942 100000\n37767 56538\n15510 23315\n31941 47851\n76483 100000\n92289 100000\n59121 88613\n33959 50876\n32396 48515\n48701 72952\n13185 19847\n82451 100000\n13205 19874\n46301 69324\n83325 100000\n45423 68001\n59009 88438\n70764 100000\n72220 100000\n61125 91642\n64214 96319\n82832 100000\n24976 37464\n88696 100000\n67686 100000\n17814 26744\n50581 75784\n34931 52306\n87965 100000\n9997 15039\n31229 46792\n97818 100000\n8587 12922\n254 380\n40775 61047\n10961 16504\n55331 82888\n85866 100000\n89865 100000\n13690 20603\n55876 83716\n9733 14634\n45253 67747\n60755 91096\n17420 26157\n4501 6790\n12494 18810\n30689 45997\n92501 100000\n42987 64370\n54920 82270\n21029 31584\n87033 100000\n30003 44950\n88448 100000\n30143 45163\n79722 100000\n38662 57864\n48494 72632\n80667 100000\n94896 100000\n67171 100000\n82224 100000\n14296 21512\n51509 77180\n68619 100000\n380 574\n77831 100000\n35222 52726\n80141 100000\n65946 98921\n26200 39308\n73117 100000\n40003 59885\n68868 100000\n86188 100000\n43497 65122\n4724 7132\n73650 100000\n89753 100000\n80364 100000\n1630 2444\n25749 38630\n57900 86780\n83578 100000\n84243 100000\n18685 28046\n76226 100000\n44707 66940\n24679 37034\n73726 100000\n4096 6183\n85598 100000\n1984 2996\n52847 79157\n93297 100000\n81645 100000\n60519 90739\n2919 4419\n12014 18077\n74630 100000\n93648 100000\n64473 96701\n98533 100000\n85516 100000\n90825 100000\n74578 100000\n30344 45470\n80352 100000\n74521 100000\n33439 50098\n86565 100000\n2567 3890\n90558 100000\n67237 100000\n41204 61703\n73352 100000\n57515 86198\n1035 1554\n21049 31616\n76243 100000\n13219 19898\n50053 74998\n71920 100000\n97062 100000\n55051 82458\n26179 39278\n98370 100000\n40315 60352\n4712 7115\n36590 54795\n64266 96395\n56150 84134\n46229 69211\n10195 15339\n60084 90083\n36528 54704\n47120 70544\n21144 31762\n13227 19911\n47612 71288\n96108 100000\n17293 25957\n32623 48863\n90139 100000\n82531 100000\n5151 7780\n83107 100000\n60166 90202\n99537 100000\n24211 36331\n94792 100000\n90322 100000\n61995 92971\n75907 100000\n3744 5639\n41817 62633\n12454 18748\n46315 69342\n94210 100000\n20336 30552\n34249 51314\n62717 94066\n46329 69363\n10485 15772\n86023 100000\n25946 38927\n45360 67906\n18587 27899\n93699 100000\n98664 100000\n99172 100000\n76811 100000\n26110 39170\n66891 100000\n23261 34922\n18954 28468\n11606 17476\n18983 28511\n17538 26333\n51584 77283\n84241 100000\n58111 87098\n43593 65258\n94916 100000\n21761 32679\n72135 100000\n46446 69536\n7284 10973\n31174 46703\n56776 85083\n42268 63302\n71901 100000\n51817 77624\n17207 25826\n98659 100000\n11684 17598\n7977 12018\n5635 8493\n90640 100000\n43110 64551\n67278 100000\n68449 100000\n72476 100000\n61231 91802\n59926 89849\n42924 64275\n96479 100000\n87278 100000\n71243 100000\n35308 52856\n4510 6804\n63362 95017\n56667 84922\n85569 100000\n40473 60598\n77077 100000\n18383 27597\n75836 100000\n75233 100000\n77783 100000\n68629 100000\n16966 25467\n25362 38045\n55147 82607\n18927 28424\n42787 64072\n93760 100000\n12798 19264\n48619 72827\n41259 61789\n47588 71253\n27447 41154\n35900 53743\n86680 100000\n33239 49797\n91051 100000\n28127 42179\n24083 36138\n69953 100000\n63258 94867\n65886 98830\n91455 100000\n36385 54484\n89788 100000\n54955 82320\n13660 20560\n81494 100000\n7983 12028\n95668 100000\n91353 100000\n58220 87259\n80424 100000\n43858 65651\n23982 35990\n51091 76546\n70034 100000\n40385 60462\n68439 100000\n57476 86133\n51536 77219\n50718 75989\n43023 64419\n26294 39448\n12254 18446\n38264 57281\n25056 37593\n63102 94632\n50683 75938\n36170 54152\n96064 100000\n25591 38393\n78411 100000\n44738 66988\n83673 100000\n4942 7464\n79602 100000\n77809 100000\n55297 82836\n4043 6097\n6031 9108\n95594 100000\n68885 100000\n87486 100000\n88784 100000\n97570 100000\n35260 52786\n72137 100000\n96649 100000\n3045 4617\n47783 71541\n24744 37126\n19301 29001\n77129 100000\n58732 88026\n15872 23843\n68646 100000\n4210 6354\n13269 19976\n10465 15746\n35752 53518\n62650 93961\n55997 83900\n2795 4225\n47278 70791\n86741 100000\n31017 46468\n29531 44246\n2131 3221\n52786 79065\n92184 100000\n77877 100000\n50943 76327\n74943 100000\n98726 100000\n93874 100000\n96903 100000\n62072 93082\n43241 64747\n71311 100000\n30302 45410\n46203 69166\n74973 100000\n58332 87431\n3315 5011\n91604 100000\n1204 1802\n93477 100000\n76315 100000\n89992 100000\n60924 91331\n96593 100000\n40496 60632\n90293 100000\n48172 72135\n55895 83742\n81127 100000\n58735 88031\n98860 100000\n22658 34024\n50506 75667\n23529 35324\n56291 84341\n11244 16944\n76598 100000\n75702 100000\n70457 100000\n1026 1537\n26065 39102\n70745 100000\n97178 100000\n53406 79997\n71 104\n75127 100000\n28383 42556\n17630 26473\n30872 46260\n83474 100000\n5264 7946\n58559 87761\n93230 100000\n46948 70279\n12715 19138\n15865 23832\n72228 100000\n73230 100000\n24774 37168\n18272 27434\n29794 44639\n72775 100000\n10696 16102\n84371 100000\n74079 100000\n50658 75898\n4665 7046\n3287 4971\n947 1417\n99178 100000\n15938 23943\n56995 85416\n69373 100000\n19673 29554\n20969 31502\n64084 96118\n46436 69521\n75570 100000\n21499 32287\n3795 5717\n27257 40862\n92085 100000\n86721 100000\n29720 44528\n46924 70243\n71620 100000\n73332 100000\n52422 78520\n8058 12136\n48371 72447\n48284 72310\n53633 80333\n56548 84733\n44679 66895\n39773 59524\n14486 21789\n38374 57456\n17323 26004\n41631 62343\n55328 82882\n34781 52091\n86032 100000\n83004 100000\n46961 70300\n15029 22611\n66709 100000\n85290 100000\n96893 100000\n94145 100000\n15548 23372\n3282 4963\n20271 30457\n10384 15626\n78061 100000\n48890 73241\n63833 95747\n73911 100000\n5103 7711\n50407 75517\n26424 39640\n89951 100000\n10805 16271\n91446 100000\n15045 22633\n61643 92428\n34723 52000\n93811 100000\n9867 14846\n13783 20731\n24536 36819\n10018 15071\n7121 10734\n19593 29438\n23461 35219\n10551 15877\n63041 94542\n96617 100000\n35834 53641\n35082 52527\n55889 83734\n5282 7972\n66637 99956\n11044 16635\n36799 55101\n75905 100000\n96170 100000\n73427 100000\n60138 90157\n64323 96483\n75118 100000\n58470 87634\n26009 39016\n58215 87252\n32917 49318\n75375 100000\n78071 100000\n43498 65123\n22897 34382\n56630 84866\n6771 10228\n73877 100000\n61674 92475\n31698 47491\n59581 89328\n43091 64522\n47017 70390\n10371 15607\n47046 70435\n13529 20356\n39184 58658\n11423 17209\n21537 32346\n3413 5156\n88655 100000\n96632 100000\n19953 29979\n80929 100000\n99615 100000\n21352 32065\n49495 74167\n42336 63404\n84662 100000\n60441 90617\n60296 90397\n16774 25180\n58542 87738\n3647 5497\n60741 91073\n41363 61937\n63717 95563\n35189 52676\n78878 100000\n77583 100000\n77704 100000\n89465 100000\n36454 54593\n80719 100000\n22111 33212\n57633 86380\n98245 100000\n98012 100000\n2649 4015\n45522 68154\n14611 21975\n5862 8852\n37046 55462\n63328 94969\n91716 100000\n56544 84728\n80673 100000\n13852 20839\n59789 89643\n55933 83802\n96766 100000\n22929 34431\n1357 2029\n29946 44864\n24478 36739\n78248 100000\n21261 31931\n83902 100000\n5481 8270\n14534 21862\n76006 100000\n81847 100000\n53855 80674\n71019 100000\n46385 69444\n43506 65137\n30140 45160\n56057 83992\n62267 93382\n84209 100000\n83967 100000\n61519 92242\n78402 100000\n98614 100000\n36611 54825\n33065 49535\n21897 32884\n95948 100000\n60876 91261\n14395 21660\n98711 100000\n37113 55563\n36365 54454\n68513 100000\n51252 76791\n68335 100000\n28869 43277\n63509 95240\n9528 14326\n24751 37135\n38464 57585\n52402 78487\n93994 100000\n24807 37212\n36120 54074\n59668 89458\n38292 57322\n49675 74427\n20466 30755\n1017 1525\n70 102\n98133 100000\n95365 100000\n65591 98383\n14093 21219\n70107 100000\n60678 90979\n55996 83898\n460 689\n54117 81074\n63019 94510\n65257 97900\n72833 100000\n79560 100000\n33379 50005\n72490 100000\n54481 81617\n82709 100000\n91813 100000\n51241 76776\n55253 82768\n63484 95202\n7070 10661\n39967 59831\n26703 40040\n29030 43513\n84208 100000\n79397 100000\n89601 100000\n68815 100000\n32658 48916\n7974 12012\n3479 5253\n85706 100000\n7636 11505\n25817 38736\n26507 39757\n66793 100000\n36406 54516\n20805 31260\n27742 41588\n66023 99030\n16249 24406\n95102 100000\n20772 31211\n94640 100000\n86554 100000\n83318 100000\n90441 100000\n2670 4041\n32564 48771\n13460 20258\n77769 100000\n6145 9276\n28954 43402\n63284 94907\n93252 100000\n42870 64191\n71875 100000\n85366 100000\n16509 24792\n66887 100000\n57663 86423\n83595 100000\n78798 100000\n51321 76893\n47201 70672\n75554 100000\n40592 60777\n50426 75541\n82856 100000\n47979 71846\n35018 52431\n81581 100000\n85001 100000\n83455 100000\n51791 77585\n38728 57959\n40133 60086\n38856 58164\n85473 100000\n80343 100000\n29782 44622\n9578 14401\n64677 97008\n7050 10633\n51288 76845\n20189 30333\n5005 7555\n38076 57000\n15883 23862\n52917 79264\n59078 88544\n21282 31959\n94840 100000\n72773 100000\n2891 4373\n94876 100000\n7281 10969\n90183 100000\n23489 35260\n1328 1983\n14492 21799\n77565 100000\n3703 5577\n82530 100000\n11609 17481\n77599 100000\n87116 100000\n20276 30463\n10477 15763\n5800 8757\n23441 35188\n42887 64216\n59553 89284\n65649 98468\n51667 77402\n70806 100000\n46193 69152\n23559 35368\n43229 64730\n62234 93330\n85254 100000\n88340 100000\n35175 52657\n23809 35736\n23572 35385\n72849 100000\n42685 63917\n53834 80643\n96313 100000\n24652 36991\n31365 46993\n91968 100000\n49209 73723\n41203 61702\n50108 75077\n61290 91891\n52590 78778\n12741 19178\n21617 32469\n2283 3454\n98479 100000\n53777 80560\n5444 8216\n7075 10668\n32099 48082\n56867 85221\n99348 100000\n36335 54406\n79255 100000\n96944 100000\n81170 100000\n32750 49059\n79348 100000\n73403 100000\n60683 90986\n92159 100000\n15236 22910\n87892 100000\n99422 100000\n43512 65145\n60333 90452\n53912 80757\n76444 100000\n76194 100000\n60100 90105\n24098 36162\n76111 100000\n88266 100000\n7684 11574\n48436 72547\n84810 100000\n42507 63660\n78461 100000\n67314 100000\n34231 51292\n33873 50744\n61033 91499\n53326 79872\n43552 65203\n86163 100000\n59528 89246\n42396 63495\n6367 9603\n92651 100000\n62347 93497\n20424 30691\n45549 68189\n71430 100000\n73087 100000\n14299 21517\n37263 55791\n28826 43208\n10329 15543\n69663 100000\n26730 40077\n42721 63975\n85321 100000\n44229 66205\n32529 48717\n6403 9657\n71121 100000\n97939 100000\n56004 83910\n13881 20885\n84228 100000\n94127 100000\n81137 100000\n85796 100000\n36699 54957\n8882 13361\n58432 87577\n26617 39911\n99718 100000\n56909 85281\n18668 28025\n94638 100000\n20479 30771\n48112 72045\n43511 65143\n93913 100000\n15785 23719\n21593 32428\n44303 66317\n80694 100000\n56025 83941\n74749 100000\n32661 48921\n48650 72872\n66847 100000\n38242 57247\n56377 84473\n47435 71027\n84159 100000\n53765 80543\n35356 52930\n78339 100000\n11524 17358\n628 937\n60133 90149\n21826 32781\n40794 61078\n37871 56685\n29800 44651\n19113 28715\n39429 59019\n65873 98809\n6892 10411\n15862 23829\n23136 34739\n85212 100000\n2669 4039\n96928 100000\n16089 24161\n89605 100000\n73398 100000\n99989 100000\n18394 27613\n46437 69523\n95498 100000\n58308 87396\n51776 77562\n66428 99629\n82658 100000\n26425 39641\n71834 100000\n32668 48930\n85910 100000\n77661 100000\n34987 52388\n35273 52808\n47265 70772\n284 422\n31355 46976\n23645 35493\n91136 100000\n87245 100000\n23728 35619\n85028 100000\n97946 100000\n27251 40853\n84592 100000\n88717 100000\n20153 30275\n92006 100000\n13775 20721\n3691 5559\n31054 46518\n87458 100000\n34011 50954\n95839 100000\n40350 60408\n74199 100000\n24375 36585\n38502 57642\n26188 39291\n46424 69502\n40356 60418\n43950 65783\n36223 54236\n61003 91453\n12447 18737\n4492 6777\n26748 40103\n14109 21242\n41049 61464\n48105 72035\n91418 100000\n41372 61949\n3330 5036\n26158 39244\n98667 100000\n26455 39682\n65510 98267\n8847 13309\n24654 36995\n30556 45791\n98597 100000\n52848 79159\n76830 100000\n2541 3852\n70300 100000\n29753 44580\n36632 54856\n508 756\n55723 83484\n92888 100000\n12095 18199\n23458 35213\n69055 100000\n74970 100000\n15949 23956\n86394 100000\n6686 10093\n18663 28019\n86788 100000\n74212 100000\n42263 63294\n41953 62828\n13182 19842\n49104 73565\n7828 11789\n89520 100000\n57401 86018\n66099 99147\n93539 100000\n90054 100000\n76124 100000\n99428 100000\n65401 98107\n69192 100000\n60727 91052\n50451 75576\n90753 100000\n62414 93605\n75334 100000\n23957 35951\n4490 6774\n63454 95152\n6587 9942\n1836 2769\n5718 8622\n21887 32871\n2139 3233\n82695 100000\n11159 16814\n6687 10094\n38363 57436\n3509 5296\n3010 4560\n99844 100000\n59470 89155\n94540 100000\n51495 77159\n35075 52517\n70443 100000\n41183 61670\n89737 100000\n52267 78284\n75459 100000\n608 910\n6406 9662\n86879 100000\n3883 5848\n31978 47909\n67844 100000\n96297 100000\n96735 100000\n4626 6988\n7875 11859\n555 831\n65214 97836\n54441 81554\n39915 59754\n72173 100000\n15360 23099\n69895 100000\n19335 29055\n7962 11994\n89378 100000\n22777 34205\n53300 79834\n44114 66028\n92034 100000\n84503 100000\n85373 100000\n14750 22188\n22934 34438\n8518 12815\n56283 84329\n88727 100000\n76257 100000\n54519 81677\n44461 66557\n52508 78655\n6142 9272\n9615 14455\n16315 24504\n7692 11586\n12441 18727\n28814 43189\n5728 8636\n29498 44200\n42584 63769\n79494 100000\n97733 100000\n43458 65064\n4276 6456\n80483 100000\n84983 100000\n52342 78401\n66165 99243\n30108 45108\n31419 47068\n63657 95472\n28883 43296\n38031 56931\n74283 100000\n35937 53796\n73394 100000\n28098 42135\n58489 87662\n62465 93688\n74875 100000\n67067 100000\n79881 100000\n46204 69167\n18136 27231\n66693 100000\n80658 100000\n16971 25475\n53889 80724\n91314 100000\n8798 13235\n56113 84079\n80539 100000\n21626 32483\n12325 18548\n77132 100000\n8465 12734\n45263 67760\n76167 100000\n8312 12511\n74437 100000\n8644 13004\n29247 43824\n92109 100000\n49392 74007\n35262 52790\n12052 18137\n64612 96917\n18378 27591\n9347 14058\n78449 100000\n41451 62072\n4916 7425\n74392 100000\n44190 66146\n48476 72606\n48137 72082\n78812 100000\n78777 100000\n18658 28010\n14017 21094\n90936 100000\n34912 52279\n65411 98123\n13491 20299\n67492 100000\n48347 72408\n79232 100000\n51420 77044\n2511 3804\n25475 38219\n88272 100000\n14662 22055\n977 1464\n75405 100000\n67704 100000\n34176 51208\n88984 100000\n1327 1982\n38613 57799\n20028 30090\n86037 100000\n75596 100000\n43813 65585\n63145 94700\n65631 98444\n20036 30101\n93010 100000\n92545 100000\n47937 71779\n46508 69635\n20413 30673\n2224 3365\n86783 100000\n77318 100000\n43478 65094\n76838 100000\n26453 39680\n82796 100000\n63016 94505\n76417 100000\n9002 13538\n64642 96957\n22631 33987\n46232 69217\n53008 79396\n7237 10909\n87412 100000\n28816 43192\n93309 100000\n53272 79791\n39671 59367\n19819 29770\n52388 78467\n51428 77054\n83764 100000\n92394 100000\n96650 100000\n95103 100000\n65182 97786\n31276 46859\n82661 100000\n66845 100000\n81199 100000\n4430 6685\n3687 5554\n29988 44926\n48884 73235\n13301 20026\n92231 100000\n10641 16014\n63227 94818\n20985 31523\n47430 71018\n84624 100000\n86385 100000\n7679 11565\n9613 14451\n39534 59165\n17118 25690\n33205 49745\n97257 100000\n38153 57113\n62956 94423\n91870 100000\n2338 3538\n82816 100000\n83769 100000\n87467 100000\n83504 100000\n26405 39612\n19687 29574\n53769 80549\n2588 3921\n29585 44336\n23381 35097\n17174 25780\n6008 9077\n53773 80554\n18708 28083\n56520 84690\n85352 100000\n2297 3473\n62970 94441\n6813 10293\n77426 100000\n74897 100000\n37032 55439\n64828 97243\n74364 100000\n37348 55912\n62056 93061\n93083 100000\n13650 20545\n69818 100000\n9661 14528\n47669 71372\n87013 100000\n18949 28458\n17767 26675\n477 713\n54760 82038\n56693 84960\n66990 100000\n87169 100000\n94610 100000\n99571 100000\n9404 14140\n48481 72612\n51630 77348\n57123 85598\n84920 100000\n80577 100000\n64916 97379\n17131 25712\n805 1208\n45444 68034\n11590 17455\n12180 18327\n53499 80128\n42077 63014\n62786 94167\n54777 82063\n17071 25622\n2172 3283\n33691 50478\n98642 100000\n68611 100000\n45952 68794\n45559 68204\n3808 5738\n642 958\n32793 49124\n99652 100000\n10594 15943\n10653 16032\n40582 60762\n24547 36835\n48448 72564\n18912 28400\n47904 71732\n68470 100000\n85271 100000\n29761 44591\n53116 79560\n55042 82445\n4138 6244\n32679 48946\n39202 58685\n85176 100000\n56528 84703\n85553 100000\n53287 79816\n89350 100000\n80531 100000\n57766 86579\n17983 26996\n61438 92114\n63727 95580\n63943 95907\n20867 31352\n41802 62609\n40336 60386\n92610 100000\n61029 91495\n40960 61333\n91020 100000\n49228 73753\n5604 8447\n99747 100000\n67984 100000\n68339 100000\n40360 60425\n98454 100000\n97211 100000\n61776 92633\n11933 17956\n88802 100000\n31534 47237\n99590 100000\n88854 100000\n25070 37614\n99931 100000\n52326 78380\n30055 45032\n87582 100000\n38004 56892\n32853 49216\n3710 5588\n5584 8421\n57609 86348\n80007 100000\n58704 87982\n47109 70529\n62837 94242\n41581 62268\n60879 91266\n79566 100000\n89098 100000\n29595 44352\n60858 91236\n76609 100000\n11405 17182\n44181 66132\n57115 85588\n5042 7608\n94715 100000\n56733 85020\n94590 100000\n36479 54631\n35979 53864\n2748 4162\n23515 35303\n52584 78770\n79337 100000\n41838 62668\n71988 100000\n87255 100000\n28111 42154\n25257 37886\n78561 100000\n71127 100000\n29476 44169\n52494 78634\n70414 100000\n34203 51248\n96717 100000\n68009 100000\n22921 34417\n28253 42364\n52438 78547\n55770 83554\n32808 49150\n71808 100000\n46255 69253\n16112 24193\n11122 16753\n37999 56885\n5574 8405\n86246 100000\n68276 100000\n16825 25258\n13680 20588\n71987 100000\n73165 100000\n39482 59090\n43805 65572\n86204 100000\n75332 100000\n75579 100000\n90358 100000\n94436 100000\n16984 25496\n65621 98430\n16090 24162\n4779 7217\n16554 24859\n22405 33657\n28368 42532\n48133 72077\n19354 29083\n34416 51561\n68471 100000\n78067 100000\n85190 100000\n29292 43898\n85877 100000\n97825 100000\n59407 89062\n74291 100000\n87418 100000\n36913 55267\n66832 100000\n90703 100000\n34863 52204\n46305 69328\n96210 100000\n39065 58481\n44063 65950\n33745 50554\n13108 19726\n4701 7098\n46585 69757\n66544 99814\n72118 100000\n16617 24942\n75660 100000\n25486 38234\n19078 28653\n76149 100000\n89156 100000\n52490 78629\n57855 86709\n9068 13626\n4471 6743\n48764 73050\n86376 100000\n43602 65273\n22060 33131\n62184 93254\n79332 100000\n81091 100000\n12970 19525\n62629 93927\n48364 72435\n53057 79475\n82805 100000\n73937 100000\n93402 100000\n56175 84172\n52487 78625\n36317 54379\n14018 21096\n38583 57754\n1132 1699\n37105 55552\n80765 100000\n91061 100000\n2407 3651\n83085 100000\n11038 16627\n83676 100000\n53680 80405\n93187 100000\n24417 36647\n84195 100000\n52021 77917\n30691 45999\n48844 73173\n11282 17002\n40957 61328\n17648 26503\n15304 23008\n30466 45656\n34736 52018\n45093 67514\n78754 100000\n15419 23185\n36127 54087\n3621 5460\n84892 100000\n37907 56746\n87362 100000\n58412 87550\n10255 15433\n14080 21196\n78736 100000\n36613 54828\n41148 61617\n93936 100000\n24222 36346\n23093 34673\n76661 100000\n63541 95294\n52363 78430\n15823 23775\n554 830\n76040 100000\n75803 100000\n92654 100000\n2876 4352\n15491 23287\n50829 76154\n4217 6367\n31974 47903\n51505 77175\n99128 100000\n96021 100000\n36181 54170\n93832 100000\n22541 33856\n80958 100000\n27642 41443\n39842 59642\n73909 100000\n96955 100000\n49561 74254\n2310 3494\n73904 100000\n17299 25966\n21154 31774\n64253 96379\n21892 32878\n31530 47232\n7630 11496\n3700 5574\n84257 100000\n26151 39231\n93236 100000\n43307 64848\n26452 39678\n87507 100000\n51268 76816\n51057 76495\n99743 100000\n41850 62689\n74671 100000\n10136 15253\n83116 100000\n59066 88529\n91699 100000\n46993 70351\n83186 100000\n81600 100000\n29537 44256\n85 126\n47635 71321\n98561 100000\n59582 89329\n20891 31388\n4686 7077\n59791 89646\n21959 32982\n91153 100000\n3498 5280\n63473 95184\n28788 43153\n76824 100000\n42881 64209\n96115 100000\n79942 100000\n57844 86692\n25979 38973\n91207 100000\n2299 3477\n18360 27566\n51118 76587\n11376 17139\n45613 68287\n28438 42636\n25889 38845\n9529 14328\n2508 3799\n35062 52501\n4215 6363\n93430 100000\n70514 100000\n17665 26530\n75464 100000\n22449 33722\n22028 33078\n14509 21824\n4097 6184\n83866 100000\n67643 100000\n50493 75645\n25808 38722\n13340 20081\n72268 100000\n14669 22065\n98284 100000\n34817 52141\n84801 100000\n95655 100000\n37661 56375\n97301 100000\n94054 100000\n10685 16085\n51378 76982\n66696 100000\n71579 100000\n29796 44643\n30241 45315\n56345 84425\n11868 17866\n3126 4733\n8098 12193\n28733 43073\n79448 100000\n47331 70871\n74537 100000\n95931 100000\n33711 50506\n31939 47848\n72406 100000\n81597 100000\n44451 66539\n53600 80285\n49108 73571\n35676 53409\n22075 33156\n23972 35973\n35892 53730\n55893 83739\n30836 46205\n29224 43792\n86988 100000\n57692 86472\n79368 100000\n19561 29387\n1606 2404\n46885 70187\n32354 48458\n76575 100000\n19546 29365\n95706 100000\n88664 100000\n23472 35234\n46949 70281\n29717 44525\n75523 100000\n50345 75427\n53936 80797\n41941 62810\n14926 22455\n47688 71402\n14507 21821\n67888 100000\n44929 67272\n22330 33537\n17294 25959\n43591 65255\n82367 100000\n18405 27629\n17002 25524\n15183 22834\n24984 37478\n69165 100000\n60073 90067\n74321 100000\n31629 47384\n95602 100000\n47649 71343\n12576 18935\n50017 74944\n21370 32094\n83493 100000\n21033 31590\n62202 93281\n79992 100000\n85334 100000\n98204 100000\n30875 46264\n91610 100000\n69987 100000\n11786 17750\n95768 100000\n65816 98720\n92334 100000\n62642 93948\n9871 14852\n90311 100000\n44770 67034\n31976 47906\n47036 70420\n32797 49131\n21178 31810\n98658 100000\n90465 100000\n22032 33086\n37738 56490\n92750 100000\n19639 29510\n41813 62628\n78852 100000\n78783 100000\n43384 64959\n51027 76450\n73693 100000\n53717 80461\n24860 37295\n128 184\n81843 100000\n19786 29717\n60438 90612\n96543 100000\n68700 100000\n27279 40895\n47830 71616\n44403 66470\n40721 60968\n54644 81859\n48470 72599\n45593 68259\n34114 51113\n71138 100000\n25701 38557\n40059 59977\n21492 32278\n16166 24279\n61199 91753\n44201 66163\n43286 64817\n60982 91421\n87183 100000\n2863 4333\n93711 100000\n24344 36536\n63703 95541\n28494 42717\n82289 100000\n31710 47509\n88049 100000\n88427 100000\n10981 16535\n15483 23273\n34544 51741\n69232 100000\n18876 28346\n35879 53711\n34685 51940\n75018 100000\n82016 100000\n56902 85271\n73659 100000\n37657 56370\n88084 100000\n80653 100000\n65683 98517\n41047 61461\n29338 43964\n6967 10522\n30815 46176\n20595 30945\n73586 100000\n96580 100000\n65114 97680\n2596 3934\n2890 4371\n40708 60948\n65705 98551\n79582 100000\n51361 76958\n99533 100000\n63111 94647\n57936 86839\n858 1275\n2834 4287\n90426 100000\n49216 73732\n33495 50183\n3122 4727\n57559 86269\n26163 39252\n42933 64287\n19139 28754\n74920 100000\n81589 100000\n49078 73522\n49649 74387\n68456 100000\n58180 87202\n18615 27943\n42788 64073\n19504 29306\n82263 100000\n31562 47280\n63177 94744\n58957 88361\n86667 100000\n96960 100000\n81393 100000\n60183 90227\n37491 56125\n48871 73214\n33823 50669\n10206 15351\n30776 46117\n21006 31550\n28952 43399\n51938 77793\n57733 86532\n23241 34891\n45772 68523\n59527 89244\n49903 74775\n80377 100000\n99258 100000\n14959 22509\n85344 100000\n31165 46690\n54154 81128\n17969 26977\n51343 76928\n19261 28941\n51544 77231\n94441 100000\n42442 63562\n26165 39255\n60910 91313\n560 839\n39055 58467\n7827 11787\n86683 100000\n12920 19450\n52097 78029\n63617 95409\n41062 61483\n64162 96236\n7499 11300\n12410 18680\n70557 100000\n79953 100000\n32762 49078\n44640 66832\n47217 70699\n30367 45501\n9806 14749\n89786 100000\n75792 100000\n60729 91056\n96849 100000\n66501 99750\n43453 65057\n82507 100000\n57802 86632\n9242 13903\n61957 92916\n61112 91623\n56747 85039\n17780 26695\n3063 4640\n76861 100000\n63903 95849\n29524 44237\n41643 62362\n43262 64782\n43189 64668\n58161 87178\n74216 100000\n40182 60162\n18626 27960\n26477 39715\n55620 83330\n88650 100000\n97516 100000\n26415 39627\n54991 82371\n32465 48619\n2547 3861\n96531 100000\n39204 58688\n59293 88880\n41671 62406\n11379 17143\n3145 4762\n29017 43493\n56980 85391\n3593 5419\n81592 100000\n79398 100000\n97441 100000\n88132 100000\n83817 100000\n52419 78516\n33497 50186\n51751 77525\n94363 100000\n671 1002\n5318 8025\n48985 73382\n79168 100000\n89936 100000\n18068 27127\n91741 100000\n98335 100000\n81303 100000\n4778 7216\n81413 100000\n55441 83060\n57614 86355\n7980 12023\n72265 100000\n15796 23734\n65756 98633\n43237 64742\n41486 62129\n69386 100000\n52157 78112\n18836 28283\n80828 100000\n1394 2083\n91642 100000\n56941 85328\n36911 55263\n54108 81064\n97690 100000\n83214 100000\n9616 14457\n12964 19517\n88391 100000\n37447 56056\n40497 60633\n59457 89133\n9432 14183\n12419 18694\n8641 13000\n9573 14394\n6361 9593\n7991 12039\n46681 69895\n9799 14738\n26000 39000\n69902 100000\n80791 100000\n23753 35654\n45365 67913\n16884 25347\n58583 87800\n46191 69150\n68070 100000\n80376 100000\n82100 100000\n48758 73041\n12107 18215\n61936 92877\n71979 100000\n72661 100000\n449 670\n92238 100000\n95531 100000\n24451 36700\n71314 100000\n57472 86126\n98539 100000\n54626 81833\n11062 16663\n82850 100000\n78203 100000\n94545 100000\n6182 9329\n15494 23291\n76214 100000\n84849 100000\n33272 49849\n69545 100000\n88075 100000\n82343 100000\n70001 100000\n79238 100000\n41053 61471\n94046 100000\n20278 30465\n38642 57835\n30879 46268\n20842 31312\n13184 19845\n53004 79391\n14277 21485\n30588 45843\n36107 54054\n93646 100000\n90723 100000\n45895 68710\n72119 100000\n43171 64640\n9342 14052\n16823 25255\n33885 50763\n80320 100000\n7803 11751\n71569 100000\n12260 18455\n69001 100000\n66122 99182\n30894 46289\n60141 90162\n90131 100000\n43250 64765\n92315 100000\n99568 100000\n22895 34379\n16747 25135\n34815 52138\n92775 100000\n28075 42094\n47744 71484\n40566 60738\n95488 100000\n76453 100000\n95806 100000\n25507 38264\n27653 41459\n44869 67183\n98129 100000\n72233 100000\n51719 77478\n55571 83256\n40751 61008\n42649 63862\n87342 100000\n66357 99534\n10549 15874\n62510 93751\n21339 32041\n69601 100000\n63515 95249\n13573 20427\n74314 100000\n90959 100000\n50417 75530\n84300 100000\n63540 95293\n22251 33426\n66177 99261\n32231 48277\n56450 84583\n87869 100000\n79828 100000\n67720 100000\n46904 70217\n34960 52349\n2334 3531\n30496 45700\n13300 20024\n66964 100000\n62532 93784\n94362 100000\n73249 100000\n98599 100000\n91360 100000\n98514 100000\n3741 5635\n62890 94324\n15516 23325\n5657 8530\n28635 42931\n53031 79429\n57251 85790\n21904 32894\n98669 100000\n22375 33611\n21457 32225\n55896 83743\n2315 3504\n82690 100000\n95261 100000\n49566 74261\n33736 50541\n61738 92571\n80703 100000\n81315 100000\n4548 6864\n92395 100000\n56418 84538\n53067 79492\n40840 61148\n78611 100000\n64383 96570\n47070 70472\n94504 100000\n38712 57938\n61308 91915\n55409 83010\n38180 57154\n1004 1505\n15134 22759\n59505 89210\n73814 100000\n74398 100000\n50360 75452\n31587 47316\n42927 64278\n92831 100000\n24827 37242\n24788 37186\n40500 60638\n3458 5221\n69396 100000\n24850 37278\n33390 50025\n70905 100000\n37409 56000\n46862 70149\n80787 100000\n81027 100000\n4186 6323\n60470 90663\n58323 87418\n95578 100000\n29452 44135\n33964 50885\n7971 12008\n87590 100000\n41299 61846\n84969 100000\n43541 65186\n11045 16637\n80811 100000\n25445 38172\n9238 13897\n35289 52828\n6492 9796\n38364 57437\n55211 82704\n23612 35445\n70208 100000\n59903 89813\n31436 47092\n8494 12777\n92734 100000\n99027 100000\n30017 44972\n40402 60487\n46775 70032\n29446 44126\n26763 40125\n67527 100000\n12470 18771\n8347 12564\n92534 100000\n62858 94278\n20304 30502\n56370 84461\n47159 70605\n33549 50261\n69393 100000\n24690 37051\n524 780\n39553 59193\n25292 37937\n10166 15297\n6451 9732\n82216 100000\n80126 100000\n36851 55173\n75625 100000\n76182 100000\n85814 100000\n3550 5357\n40005 59889\n53194 79671\n46771 70025\n42413 63520\n6085 9184\n79109 100000\n46372 69426\n22896 34380\n72210 100000\n39846 59648\n20547 30873\n19797 29735\n69564 100000\n57949 86856\n60409 90569\n2507 3797\n14871 22373\n77540 100000\n19394 29149\n1227 1837\n71226 100000\n89204 100000\n10357 15585\n13046 19636\n70652 100000\n36221 54233\n95548 100000\n44292 66301\n147 213\n69293 100000\n54517 81674\n1100 1651\n25468 38209\n57276 85830\n9394 14130\n38943 58292\n62412 93601\n6083 9181\n91050 100000\n84357 100000\n31886 47768\n81308 100000\n49805 74624\n11239 16937\n22506 33807\n69291 100000\n73229 100000\n57030 85465\n82840 100000\n83057 100000\n66437 99642\n29852 44728\n72918 100000\n63884 95824\n89943 100000\n39545 59181\n77330 100000\n7280 10968\n17382 26096\n35412 53010\n45975 68830\n62579 93851\n98592 100000\n62894 94329\n52234 78234\n42005 62902\n34200 51243\n93248 100000\n14717 22140\n43483 65103\n67268 100000\n81321 100000\n77203 100000\n24568 36866\n65648 98467\n20503 30806\n77972 100000\n48750 73030\n54359 81435\n51419 77043\n12942 19485\n72512 100000\n59947 89881\n47280 70793\n82671 100000\n36932 55294\n29978 44912\n79829 100000\n43054 64466\n88500 100000\n98752 100000\n85026 100000\n83437 100000\n36023 53930\n22979 34504\n91113 100000\n31600 47340\n6633 10010\n50727 76003\n84904 100000\n13101 19716\n91130 100000\n89080 100000\n65467 98203\n48897 73252\n67218 100000\n32101 48085\n47012 70383\n60534 90760\n8063 12143\n74078 100000\n68587 100000\n29057 43556\n40028 59926\n1586 2377\n49157 73644\n69517 100000\n38762 58012\n34712 51982\n86858 100000\n59070 88533\n17798 26718\n41661 62389\n89673 100000\n93457 100000\n10964 16508\n95976 100000\n6464 9755\n47645 71337\n19858 29833\n43228 64728\n13217 19895\n59777 89627\n80487 100000\n13812 20774\n24470 36729\n67441 100000\n68870 100000\n79547 100000\n65527 98290\n99442 100000\n51012 76428\n39592 59250\n85941 100000\n63609 95397\n16711 25082\n36558 54747\n99932 100000\n85647 100000\n36671 54919\n69469 100000\n54350 81420\n90762 100000\n33313 49907\n88061 100000\n37294 55837\n37419 56016\n59396 89043\n383 577\n73842 100000\n19983 30023\n14735 22165\n55603 83300\n28155 42222\n78204 100000\n25469 38210\n81648 100000\n38486 57619\n50176 75174\n70087 100000\n39943 59797\n1762 2649\n36812 55120\n57837 86682\n48149 72101\n51275 76825\n84578 100000\n66836 100000\n30896 46292\n86087 100000\n78937 100000\n14744 22179\n3588 5411\n83299 100000\n39714 59434\n32608 48840\n3567 5382\n97443 100000\n75708 100000\n66288 99428\n77464 100000\n32879 49259\n49138 73617\n99982 100000\n74871 100000\n44971 67333\n14585 21937\n78161 100000\n48134 72078\n63794 95684\n52132 78078\n59592 89345\n57629 86373\n31446 47106\n11408 17187\n47334 70875\n33559 50275\n30269 45359\n41381 61965\n34796 52112\n8084 12172\n60573 90816\n58254 87311\n51853 77675\n23174 34795\n12055 18142\n35889 53725\n7 10\n13590 20453\n80258 100000\n36614 54829\n17681 26557\n39889 59716\n53461 80077\n67259 100000\n49850 74693\n79033 100000\n11952 17984\n53498 80127\n63356 95008\n9331 14035\n86613 100000\n78105 100000\n42048 62969\n26078 39121\n46786 70045\n8716 13108\n63412 95091\n60091 90094\n35720 53473\n34813 52135\n88660 100000\n22950 34461\n35699 53444\n50270 75314\n62045 93045\n44615 66792\n21743 32653\n39426 59014\n55719 83477\n85498 100000\n53870 80694\n86425 100000\n47236 70731\n65167 97765\n95225 100000\n22628 33983\n58882 88255\n76266 100000\n91318 100000\n11086 16699\n37717 56457\n98360 100000\n88173 100000\n14059 21159\n60517 90735\n25259 37890\n29391 44042\n29351 43980\n82025 100000\n62255 93364\n80249 100000\n41525 62184\n71736 100000\n49054 73484\n41208 61710\n98956 100000\n76754 100000\n65343 98025\n5393 8140\n96566 100000\n51845 77667\n84045 100000\n9212 13855\n22495 33789\n63980 95958\n51609 77320\n66460 99684\n73005 100000\n17688 26566\n90127 100000\n64504 96748\n6721 10150\n83065 100000\n7323 11033\n86460 100000\n66807 100000\n94124 100000\n12175 18319\n24258 36401\n38950 58304\n58548 87747\n31401 47045\n17831 26772\n82117 100000\n89257 100000\n528 787\n37920 56762\n78639 100000\n51439 77072\n8519 12817\n19710 29607\n26264 39402\n95382 100000\n26363 39548\n40761 61023\n93030 100000\n52451 78567\n84091 100000\n71806 100000\n92647 100000\n40121 60069\n48298 72332\n67920 100000\n8897 13382\n11896 17904\n96234 100000\n20103 30202\n79905 100000\n57870 86735\n8942 13448\n9816 14766\n54552 81724\n22399 33647\n39510 59129\n33342 49948\n35305 52852\n44382 66441\n65507 98262\n16025 24064\n31198 46743\n12275 18479\n41421 62028\n14162 21322\n18411 27637\n57105 85573\n84080 100000\n66135 99201\n51036 76464\n2717 4115\n52603 78795\n19794 29729\n21730 32633\n24936 37405\n12655 19051\n66910 100000\n6907 10434\n88822 100000\n58528 87719\n47916 71748\n35479 53115\n73066 100000\n86371 100000\n28708 43035\n65428 98148\n71725 100000\n39445 59039\n726 1083\n93519 100000\n32412 48539\n58128 87125\n51575 77273\n46491 69607\n18505 27779\n11438 17230\n89851 100000\n11211 16894\n30960 46386\n26070 39109\n28677 42995\n39431 59021\n51135 76611\n17326 26008\n20039 30105\n49011 73420\n576 863\n94618 100000\n14369 21625\n94983 100000\n83792 100000\n73646 100000\n21452 32217\n39355 58906\n69255 100000\n68177 100000\n9009 13546\n24893 37346\n77190 100000\n35217 52718\n44921 67261\n995 1492\n3780 5695\n15300 23003\n51985 77863\n66953 100000\n19783 29713\n93950 100000\n42656 63873\n69876 100000\n86118 100000\n69867 100000\n54930 82284\n65523 98284\n70854 100000\n75220 100000\n52852 79165\n13226 19910\n89014 100000\n63247 94851\n93450 100000\n62504 93741\n51124 76596\n88827 100000\n49217 73734\n69126 100000\n28587 42862\n23002 34539\n41474 62109\n43003 64391\n91218 100000\n8385 12619\n10792 16249\n15952 23961\n172 252\n94729 100000\n997 1494\n41008 61405\n4466 6736\n72489 100000\n16285 24460\n49641 74377\n61843 92731\n42758 64030\n29488 44186\n94581 100000\n34041 51001\n16107 24186\n5003 7552\n15394 23148\n9832 14790\n2799 4230\n29714 44519\n32006 47949\n19544 29362\n67999 100000\n84297 100000\n81214 100000\n46706 69935\n4751 7177\n49876 74735\n66324 99485\n94864 100000\n71124 100000\n41858 62698\n69713 100000\n78108 100000\n67979 100000\n1769 2663\n71070 100000\n42020 62924\n73141 100000\n70782 100000\n15984 24007\n39106 58537\n99164 100000\n88966 100000\n14798 22262\n22749 34163\n601 900\n8590 12927\n27001 40473\n97547 100000\n50612 75828\n81998 100000\n61120 91636\n74244 100000\n69015 100000\n78405 100000\n99424 100000\n75698 100000\n20529 30843\n98819 100000\n31202 46749\n46078 68980\n917 1369\n71263 100000\n36016 53921\n87882 100000\n82037 100000\n92800 100000\n28109 42151\n59782 89633\n78804 100000\n79858 100000\n731 1091\n62452 93668\n78516 100000\n65845 98768\n68032 100000\n38244 57250\n82991 100000\n10265 15449\n17161 25760\n6093 9193\n99767 100000\n97350 100000\n45817 68593\n59072 88536\n75006 100000\n47344 70889\n7569 11406\n39041 58445\n9260 13931\n27427 41124\n26102 39158\n47248 70748\n65111 97674\n26008 39014\n27506 41242\n42165 63145\n59871 89766\n71894 100000\n80757 100000\n26844 40243\n72977 100000\n7114 10723\n57068 85523\n96681 100000\n15245 22925\n98287 100000\n21822 32776\n23782 35696\n67238 100000\n37269 55800\n83209 100000\n4705 7104\n73591 100000\n63645 95452\n36460 54602\n63606 95392\n19257 28935\n52620 78819\n84869 100000\n96001 100000\n36376 54472\n44839 67135\n59486 89180\n70979 100000\n76723 100000\n10186 15326\n30089 45078\n76941 100000\n12151 18281\n96636 100000\n86850 100000\n33793 50627\n43028 64427\n17554 26356\n25775 38672\n77473 100000\n52346 78407\n3399 5136\n80080 100000\n83807 100000\n63590 95367\n58019 86963\n4648 7020\n50344 75426\n11022 16600\n2790 4218\n15124 22744\n15538 23355\n59788 89642\n10456 15733\n70358 100000\n21600 32441\n35157 52633\n29119 43646\n62707 94049\n53993 80886\n5021 7577\n88567 100000\n61468 92162\n3646 5496\n62239 93338\n18276 27439\n21413 32159\n26944 40392\n65860 98789\n72941 100000\n70507 100000\n57244 85778\n48074 71995\n54139 81105\n4603 6951\n8599 12941\n24474 36734\n60584 90832\n57161 85657\n61645 92431\n79536 100000\n27617 41405\n21511 32304\n87934 100000\n75398 100000\n76797 100000\n83623 100000\n94652 100000\n77440 100000\n43722 65456\n69981 100000\n82332 100000\n90527 100000\n93764 100000\n7589 11434\n19771 29694\n17477 26239\n42894 64227\n53374 79949\n22008 33050\n10353 15581\n99353 100000\n70760 100000\n30989 46428\n43667 65371\n71322 100000\n66640 99960\n68584 100000\n12664 19063\n31057 46524\n78113 100000\n77860 100000\n93260 100000\n1848 2788\n68684 100000\n72005 100000\n62415 93606\n85036 100000\n60902 91300\n1600 2396\n795 1191\n63084 94605\n84686 100000\n50569 75767\n87385 100000\n30830 46196\n81179 100000\n32020 47969\n32186 48209\n62211 93294\n216 323\n27657 41465\n89410 100000\n58021 86966\n61470 92165\n87465 100000\n30252 45331\n7541 11367\n30541 45767\n83488 100000\n28927 43361\n67964 100000\n36095 54036\n86930 100000\n44580 66732\n74447 100000\n76525 100000\n53097 79532\n46621 69805\n66927 100000\n80405 100000\n42963 64333\n38560 57719\n18605 27929\n77998 100000\n19847 29816\n23143 34751\n71508 100000\n79643 100000\n95174 100000\n8119 12219\n38867 58183\n49665 74411\n46274 69285\n56541 84723\n38461 57582\n85745 100000\n61076 91567\n90063 100000\n46383 69442\n48065 71979\n56472 84616\n89776 100000\n27986 41951\n76827 100000\n30328 45449\n40160 60128\n53583 80258\n22995 34529\n83295 100000\n43679 65388\n49945 74835\n69266 100000\n13511 20328\n60220 90283\n85123 100000\n63859 95786\n88042 100000\n34433 51584\n18878 28350\n57950 86858\n35924 53776\n93589 100000\n86406 100000\n44717 66955\n64169 96245\n43557 65209\n99744 100000\n99881 100000\n3526 5321\n17843 26789\n82115 100000\n74849 100000\n91712 100000\n11838 17826\n48390 72475\n70227 100000\n97255 100000\n81150 100000\n93425 100000\n57503 86177\n68331 100000\n59110 88596\n57594 86325\n43142 64597\n41016 61417\n91123 100000\n64464 96687\n20152 30274\n16488 24762\n48233 72234\n64904 97360\n58532 87724\n60934 91345\n63967 95940\n78687 100000\n50691 75950\n18187 27304\n27939 41884\n11866 17864\n32874 49251\n38019 56913\n10632 16001\n33135 49634\n86567 100000\n69489 100000\n81120 100000\n17197 25811\n57330 85916\n3949 5950\n43889 65698\n68132 100000\n46978 70327\n59365 88992\n63290 94916\n24702 37070\n32452 48600\n4332 6537\n29461 44147\n77397 100000\n75986 100000\n48465 72593\n57081 85540\n65731 98593\n98598 100000\n75412 100000\n81654 100000\n71368 100000\n13599 20464\n65740 98607\n39880 59702\n89002 100000\n14060 21161\n69158 100000\n34232 51293\n97028 100000\n65797 98694\n14399 21666\n97905 100000\n30207 45259\n8985 13514\n77794 100000\n41901 62756\n9417 14160\n63673 95497\n94498 100000\n41202 61701\n70421 100000\n29888 44782\n26286 39438\n86699 100000\n9039 13585\n57045 85486\n35809 53598\n51376 76978\n85681 100000\n11468 17274\n40145 60104\n14038 21127\n7480 11271\n10409 15665\n81716 100000\n66216 99322\n92660 100000\n40002 59884\n14246 21439\n71445 100000\n51731 77495\n94698 100000\n95693 100000\n51255 76795\n27905 41830\n66446 99660\n95620 100000\n52876 79202\n43787 65549\n36720 54989\n12407 18676\n20129 30239\n99082 100000\n24262 36408\n91395 100000\n82099 100000\n95451 100000\n74089 100000\n96909 100000\n63798 95690\n12619 18998\n41403 62000\n31450 47113\n98987 100000\n8429 12681\n80150 100000\n66591 99887\n78193 100000\n50490 75641\n85219 100000\n11710 17633\n36167 54148\n55269 82792\n84426 100000\n38215 57208\n66996 100000\n59801 89660\n53871 80695\n63361 95015\n2582 3912\n91155 100000\n95097 100000\n86280 100000\n44116 66032\n42167 63149\n34470 51637\n84204 100000\n92974 100000\n47763 71510\n94611 100000\n46083 68989\n88267 100000\n50780 76082\n89816 100000\n53023 79418\n66592 99889\n8613 12961\n48138 72083\n26082 39127\n66025 99034\n53787 80575\n88336 100000\n62847 94259\n2985 4522\n28016 42002\n90428 100000\n65332 98008\n17962 26966\n34806 52124\n33920 50817\n22202 33353\n18930 28428\n57856 86710\n60431 90602\n29113 43637\n88810 100000\n21859 32830\n34938 52317\n44703 66933\n26671 39987\n29975 44906\n96525 100000\n16829 25264\n27338 40988\n34626 51857\n83 123\n47038 70423\n73691 100000\n53329 79876\n96937 100000\n17428 26166\n9726 14623\n96244 100000\n34642 51880\n53445 80052\n87749 100000\n97027 100000\n80660 100000\n67985 100000\n32777 49101\n99461 100000\n58652 87901\n46113 69033\n69502 100000\n6759 10211\n76679 100000\n74075 100000\n33677 50460\n89642 100000\n66148 99220\n83544 100000\n42637 63845\n34916 52283\n80974 100000\n23953 35945\n99285 100000\n52871 79194\n27310 40942\n35601 53301\n50137 75117\n43347 64907\n74026 100000\n36651 54888\n29739 44559\n3317 5015\n1159 1738\n18376 27589\n97649 100000\n94082 100000\n40555 60723\n34845 52178\n71394 100000\n58740 88039\n60831 91199\n32532 48720\n39277 58791\n90784 100000\n62417 93610\n84227 100000\n3080 4665\n58970 88383\n11017 16591\n46766 70017\n48114 72047\n36707 54969\n54591 81779\n24967 37452\n89205 100000\n90789 100000\n925 1382\n54435 81546\n24192 36303\n19948 29971\n96969 100000\n11735 17672\n99734 100000\n32599 48826\n68782 100000\n58743 88044\n49317 73881\n36945 55311\n28898 43320\n17318 25995\n57678 86448\n74031 100000\n87820 100000\n95881 100000\n72550 100000\n57235 85763\n44793 67068\n54657 81880\n81525 100000\n23054 34617\n9586 14414\n3341 5052\n71379 100000\n41994 62885\n41724 62486\n70447 100000\n51517 77192\n84326 100000\n75473 100000\n3528 5324\n15910 23901\n53426 80022\n26916 40352\n90869 100000\n75431 100000\n6963 10516\n8107 12204\n6324 9542\n51678 77419\n48426 72532\n67153 100000\n46389 69451\n86154 100000\n90727 100000\n33023 49471\n38221 57216\n99964 100000\n81830 100000\n28483 42702\n28588 42864\n3888 5854\n76741 100000\n53391 79973\n28311 42449\n64609 96911\n48658 72885\n29132 43665\n92484 100000\n99185 100000\n34413 51555\n71961 100000\n48903 73262\n26277 39424\n86705 100000\n6798 10268\n39867 59681\n43460 65066\n85252 100000\n74421 100000\n31607 47351\n72572 100000\n74719 100000\n72759 100000\n4976 7515\n47752 71496\n29121 43649\n71922 100000\n58077 87051\n93700 100000\n64931 97402\n76341 100000\n2992 4532\n42589 63776\n66403 99594\n45000 67374\n58629 87866\n12625 19008\n98203 100000\n76524 100000\n20491 30789\n30429 45603\n48108 72040\n7124 10740\n42019 62922\n164 239\n46033 68912\n93684 100000\n52216 78208\n40740 60993\n28982 43443\n42122 63079\n8211 12357\n85764 100000\n18880 28352\n86754 100000\n8442 12701\n67110 100000\n83850 100000\n66200 99295\n18302 27479\n68017 100000\n12681 19090\n46387 69447\n4474 6747\n53675 80397\n34918 52285\n97562 100000\n2074 3134\n17520 26305\n56484 84633\n58921 88312\n40308 60341\n89633 100000\n51676 77417\n18225 27362\n42602 63796\n82526 100000\n12921 19451\n85885 100000\n55573 83258\n23169 34787\n24145 36236\n70686 100000\n97876 100000\n90070 100000\n23256 34915\n64757 97128\n66032 99042\n42416 63524\n40129 60080\n55046 82451\n99756 100000\n11031 16616\n73959 100000\n80020 100000\n47733 71466\n25756 38641\n482 718\n31304 46899\n33475 50152\n34369 51493\n58079 87053\n70006 100000\n70417 100000\n23072 34644\n51072 76518\n37860 56669\n14899 22415\n74644 100000\n91807 100000\n55344 82911\n66136 99202\n54656 81878\n34134 51143\n35513 53164\n20639 31006\n71347 100000\n46056 68946\n16007 24039\n80610 100000\n15607 23454\n14878 22383\n43219 64715\n96729 100000\n2586 3917\n19496 29297\n39417 59001\n9519 14315\n95448 100000\n43907 65724\n19277 28966\n70168 100000\n67816 100000\n12674 19078\n90650 100000\n13767 20710\n35836 53644\n40321 60363\n74401 100000\n75547 100000\n51643 77368\n60722 91045\n71490 100000\n28410 42595\n95892 100000\n20847 31321\n70722 100000\n12500 18818\n61130 91651\n18005 27031\n40961 61335\n75491 100000\n91046 100000\n56489 84640\n43509 65140\n35612 53318\n768 1148\n68125 100000\n32372 48483\n65966 98948\n4905 7409\n19527 29342\n98365 100000\n68860 100000\n6783 10245\n98458 100000\n81262 100000\n13157 19804\n77261 100000\n98357 100000\n42404 63507\n81510 100000\n82996 100000\n6938 10476\n92026 100000\n55257 82775\n597 893\n12289 18497\n15263 22951\n59184 88706\n81030 100000\n35142 52611\n52513 78665\n88243 100000\n97243 100000\n57383 85991\n65633 98447\n20400 30654\n65716 98569\n77916 100000\n15445 23220\n26091 39139\n47212 70691\n27866 41773\n50879 76223\n72517 100000\n53740 80497\n88415 100000\n16147 24247\n17713 26601\n15237 22912\n76109 100000\n8223 12373\n8950 13459\n94475 100000\n1351 2021\n53981 80867\n38181 57156\n40074 59997\n41684 62427\n63573 95340\n89359 100000\n11120 16751\n98767 100000\n20034 30099\n47590 71256\n34835 52166\n59418 89080\n10559 15888\n15010 22582\n29530 44245\n70882 100000\n5332 8048\n27907 41833\n49730 74513\n79114 100000\n93388 100000\n71136 100000\n85198 100000\n48268 72287\n51161 76654\n27863 41769\n15212 22875\n54757 82034\n21313 32003\n63675 95500\n47787 71547\n48730 72999\n32586 48803\n84464 100000\n50267 75311\n51229 76756\n18520 27802\n62980 94456\n41140 61604\n17926 26910\n60661 90953\n37182 55669\n24229 36355\n4980 7521\n78338 100000\n91762 100000\n46969 70313\n30748 46081\n12710 19132\n30775 46115\n78272 100000\n18559 27861\n78140 100000\n14978 22534\n18361 27568\n24844 37267\n98196 100000\n21675 32555\n59616 89381\n80759 100000\n79081 100000\n59367 88995\n27460 41174\n22166 33294\n56294 84345\n19369 29109\n5355 8083\n1098 1648\n80637 100000\n76616 100000\n68058 100000\n58455 87611\n95197 100000\n80925 100000\n36633 54858\n96020 100000\n18922 28418\n21024 31576\n92868 100000\n32046 48003\n93207 100000\n24535 36817\n96675 100000\n94679 100000\n54810 82110\n18050 27100\n45679 68384\n10302 15501\n58880 88251\n89768 100000\n61817 92689\n44083 65978\n43885 65691\n83407 100000\n34782 52093\n60597 90851\n13894 20903\n68187 100000\n41466 62097\n97943 100000\n61847 92738\n81009 100000\n19478 29270\n98764 100000\n26032 39052\n32358 48464\n67381 100000\n12966 19520\n83934 100000\n42601 63795\n22404 33656\n69581 100000\n97129 100000\n56134 84108\n45789 68550\n66487 99728\n183 269\n20504 30808\n7266 10951\n50722 75995\n23271 34936\n28205 42296\n82058 100000\n1737 2608\n65545 98317\n29688 44477\n80738 100000\n71760 100000\n70204 100000\n20163 30289\n67571 100000\n57033 85470\n17623 26460\n5342 8062\n53093 79527\n35887 53722\n54179 81165\n56674 84932\n16069 24133\n29834 44703\n40950 61319\n64666 96993\n98760 100000\n8166 12288\n93638 100000\n50099 75063\n95275 100000\n76849 100000\n27651 41456\n47603 71276\n78351 100000\n48715 72975\n45976 68831\n37990 56870\n91937 100000\n39226 58717\n13107 19725\n41734 62499\n96748 100000\n6370 9608\n81727 100000\n14535 21864\n82647 100000\n48054 71961\n81260 100000\n14447 21732\n46133 69061\n85904 100000\n8718 13112\n4103 6191\n16807 25232\n10509 15812\n69008 100000\n77612 100000\n34118 51118\n26543 39808\n80230 100000\n33090 49572\n34592 51807\n87889 100000\n68135 100000\n76967 100000\n87450 100000\n98782 100000\n74085 100000\n56593 84806\n12362 18609\n82596 100000\n472 704\n78389 100000\n75041 100000\n8012 12067\n2908 4402\n36404 54513\n97239 100000\n85837 100000\n58918 88307\n48690 72935\n91802 100000\n32287 48360\n72688 100000\n32631 48876\n54527 81688\n9317 14012\n31130 46635\n53146 79603\n45585 68247\n27620 41408\n84119 100000\n53294 79827\n16067 24129\n55773 83557\n11152 16805\n86716 100000\n89671 100000\n57192 85701\n70501 100000\n9913 14914\n28796 43162\n48243 72249\n64906 97363\n3189 4828\n42753 64022\n4952 7480\n14749 22187\n33069 49542\n38632 57823\n58911 88297\n16673 25022\n33794 50628\n7619 11480\n51401 77015\n4180 6313\n60053 90037\n80845 100000\n78310 100000\n28965 43419\n5280 7970\n92623 100000\n84981 100000\n58257 87317\n94887 100000\n10950 16489\n99327 100000\n5390 8137\n67316 100000\n25791 38699\n29356 43990\n34007 50946\n76097 100000\n27989 41956\n97008 100000\n55136 82589\n11039 16629\n12701 19119\n78167 100000\n31830 47685\n29408 44069\n97540 100000\n19439 29210\n34935 52313\n38833 58126\n51274 76824\n89181 100000\n55515 83167\n97293 100000\n8555 12869\n27895 41816\n75200 100000\n86630 100000\n13856 20845\n41592 62284\n65759 98638\n90257 100000\n54773 82057\n36374 54469\n8384 12617\n6267 9452\n24069 36116\n79439 100000\n33048 49511\n51386 76993\n48348 72410\n48028 71920\n11337 17086\n27364 41031\n70705 100000\n15738 23653\n68053 100000\n38071 56992\n31609 47354\n58638 87879\n54891 82227\n40285 60309\n95919 100000\n98540 100000\n71022 100000\n37401 55987\n8029 12092\n78536 100000\n11366 17124\n18743 28133\n19324 29037\n8014 12070\n80281 100000\n66241 99357\n98495 100000\n87514 100000\n30533 45754\n23727 35618\n24622 36951\n90791 100000\n10923 16452\n41413 62017\n14599 21956\n17129 25708\n80559 100000\n88858 100000\n51668 77403\n4913 7420\n40614 60810\n46693 69914\n43583 65244\n26378 39571\n4610 6964\n61131 91652\n70210 100000\n25116 37680\n26417 39630\n611 915\n13332 20066\n69103 100000\n2154 3257\n84965 100000\n1281 1917\n92648 100000\n78902 100000\n59786 89640\n76285 100000\n67809 100000\n52834 79141\n10501 15798\n55595 83290\n69913 100000\n26802 40181\n53703 80439\n63447 95141\n81671 100000\n24935 37403\n27453 41162\n70997 100000\n32212 48247\n9353 14069\n59010 88440\n12248 18435\n56933 85317\n59377 89014\n63114 94652\n15811 23758\n61755 92598\n75672 100000\n63768 95644\n46216 69190\n6640 10019\n41533 62195\n22324 33531\n32704 48989\n92152 100000\n87194 100000\n27143 40691\n73250 100000\n34775 52080\n31925 47830\n35733 53490\n62181 93250\n93071 100000\n62625 93922\n70392 100000\n75560 100000\n64654 96977\n28308 42444\n52029 77929\n34612 51839\n13361 20116\n60503 90715\n52210 78199\n5801 8758\n84550 100000\n66287 99427\n93064 100000\n84651 100000\n85520 100000\n15602 23447\n17289 25951\n17312 25986\n71194 100000\n33943 50849\n81404 100000\n31766 47588\n17029 25564\n46342 69380\n73922 100000\n50428 75544\n53781 80566\n91045 100000\n92790 100000\n63994 95977\n30366 45499\n83338 100000\n70089 100000\n6039 9121\n30191 45233\n10615 15974\n36166 54146\n23679 35545\n35653 53378\n7175 10815\n77220 100000\n58433 87579\n10510 15814\n42854 64168\n7277 10965\n79848 100000\n55971 83859\n57398 86014\n32219 48258\n16804 25228\n77991 100000\n11738 17678\n93867 100000\n21641 32503\n2664 4033\n35804 53591\n37891 56718\n67642 100000\n87310 100000\n8285 12471\n27992 41962\n12031 18102\n43235 64739\n31798 47638\n62481 93708\n8761 13180\n2583 3913\n96336 100000\n4993 7539\n2320 3511\n51992 77872\n13004 19576\n25456 38190\n56406 84518\n80847 100000\n35090 52540\n71036 100000\n97373 100000\n64860 97291\n28979 43438\n74606 100000\n83379 100000\n56135 84109\n8283 12468\n46401 69466\n56739 85029\n20810 31266\n19896 29892\n40104 60044\n63286 94910\n18191 27312\n39611 59278\n44771 67035\n93715 100000\n71137 100000\n87762 100000\n84926 100000\n82784 100000\n53713 80456\n1236 1852\n87181 100000\n28573 42843\n42976 64356\n76019 100000\n49521 74202\n30885 46275\n79229 100000\n32527 48714\n83640 100000\n95186 100000\n27126 40664\n74446 100000\n81231 100000\n82848 100000\n41636 62353\n8387 12621\n24998 37502\n75264 100000\n35680 53414\n66356 99533\n12039 18116\n93766 100000\n28088 42118\n26310 39473\n68641 100000\n20212 30368\n55063 82478\n58706 87986\n9619 14461\n61269 91860\n48367 72440\n68716 100000\n39111 58546\n16026 24065\n89631 100000\n39008 58395\n54128 81087\n42093 63037\n6965 10519\n61615 92385\n17485 26252\n39861 59671\n66311 99463\n96462 100000\n36510 54676\n68969 100000\n56196 84204\n57749 86558\n58350 87455\n25086 37638\n10931 16462\n89315 100000\n99588 100000\n55760 83538\n90661 100000\n39548 59185\n16852 25298\n9334 14040\n11619 17497\n77280 100000\n97589 100000\n75413 100000\n31104 46594\n14614 21981\n86269 100000\n2027 3058\n39935 59785\n93592 100000\n25426 38145\n76221 100000\n91081 100000\n74369 100000\n77710 100000\n41922 62784\n11863 17860\n35904 53748\n49338 73916\n8789 13220\n57380 85987\n94693 100000\n96598 100000\n45002 67377\n18828 28270\n74422 100000\n18387 27604\n11414 17195\n83919 100000\n7091 10692\n55235 82741\n84504 100000\n29136 43670\n187 276\n27522 41265\n180 265\n13921 20943\n84942 100000\n45266 67765\n65773 98659\n40980 61365\n15716 23619\n96751 100000\n77728 100000\n2376 3601\n86906 100000\n81489 100000\n72900 100000\n3812 5743\n57769 86584\n54804 82104\n78578 100000\n66555 99831\n17198 25813\n61390 92040\n69130 100000\n13267 19972\n60690 90995\n80201 100000\n88184 100000\n47655 71351\n38655 57853\n86215 100000\n89580 100000\n54970 82340\n47703 71421\n60221 90284\n57190 85698\n78946 100000\n37316 55867\n62886 94318\n90237 100000\n28480 42697\n48066 71981\n86796 100000\n49981 74890\n73658 100000\n21934 32942\n80841 100000\n94006 100000\n38678 57884\n22864 34332\n72719 100000\n33211 49754\n57468 86120\n89370 100000\n94658 100000\n87999 100000\n12321 18543\n3017 4571\n92065 100000\n90804 100000\n53460 80076\n20157 30280\n51266 76812\n80449 100000\n81204 100000\n3938 5934\n46153 69093\n89646 100000\n33871 50741\n67349 100000\n74149 100000\n93369 100000\n6426 9693\n62951 94414\n72513 100000\n51188 76698\n72323 100000\n6354 9583\n20797 31245\n19320 29029\n20207 30361\n8432 12685\n50228 75252\n60938 91352\n72465 100000\n33052 49517\n10978 16530\n10078 15163\n17528 26319\n18573 27882\n1529 2289\n35978 53862\n36281 54325\n65042 97567\n13525 20350\n58600 87822\n27546 41299\n77307 100000\n39942 59795\n13882 20886\n29770 44603\n30044 45016\n22568 33894\n29815 44674\n35535 53201\n1776 2674\n37820 56617\n69647 100000\n86212 100000\n30033 44997\n73838 100000\n83415 100000\n91464 100000\n87766 100000\n1565 2347\n78942 100000\n3348 5063\n35933 53791\n51812 77617\n43374 64945\n73916 100000\n78457 100000\n40467 60589\n38370 57448\n44401 66468\n33896 50779\n33006 49444\n25723 38592\n70945 100000\n95637 100000\n40454 60568\n50152 75139\n11346 17097\n68880 100000\n16334 24527\n5331 8046\n98168 100000\n18877 28348\n70094 100000\n43227 64727\n76462 100000\n40452 60565\n22361 33589\n26885 40308\n6845 10341\n96606 100000\n68757 100000\n96205 100000\n85170 100000\n78553 100000\n71643 100000\n79833 100000\n19883 29871\n82948 100000\n11506 17328\n42654 63870\n77060 100000\n10334 15549\n17675 26547\n49379 73985\n54895 82233\n24909 37368\n38154 57114\n88491 100000\n1877 2834\n88955 100000\n15192 22848\n25646 38472\n39934 59784\n41471 62105\n61342 91965\n4244 6409\n90716 100000\n96401 100000\n64156 96227\n74116 100000\n52292 78321\n30833 46201\n53431 80029\n462 691\n85924 100000\n33009 49449\n2016 3040\n84792 100000\n47225 70711\n99815 100000\n31842 47700\n99025 100000\n23248 34903\n37849 56656\n93476 100000\n96680 100000\n43850 65641\n46177 69128\n54865 82188\n98472 100000\n47713 71434\n61727 92554\n89897 100000\n56033 83956\n90337 100000\n9249 13915\n3419 5164\n53563 80229\n14057 21156\n45288 67800\n11732 17667\n59835 89711\n90639 100000\n8686 13068\n83189 100000\n62900 94337\n90210 100000\n49991 74906\n76779 100000\n56188 84191\n86120 100000\n7924 11934\n14312 21541\n60062 90051\n5873 8873\n58875 88244\n25518 38280\n24206 36323\n87050 100000\n71527 100000\n39466 59066\n60560 90796\n88735 100000\n17124 25699\n21871 32849\n63141 94696\n55396 82988\n94043 100000\n36562 54754\n2149 3250\n83097 100000\n90386 100000\n37040 55453\n55817 83623\n8873 13347\n64748 97114\n73580 100000\n50768 76065\n73761 100000\n35301 52847\n18859 28320\n78073 100000\n61735 92565\n15574 23410\n50824 76146\n95759 100000\n26289 39443\n11746 17691\n22669 34041\n25804 38716\n20659 31040\n71751 100000\n80075 100000\n89516 100000\n157 229\n58901 88281\n67808 100000\n63878 95816\n40778 61052\n59029 88472\n35590 53287\n98260 100000\n22435 33698\n76958 100000\n6980 10542\n28379 42549\n59281 88863\n13427 20213\n90180 100000\n56588 84798\n85283 100000\n24004 36022\n45703 68420\n81073 100000\n61325 91942\n1597 2392\n96699 100000\n7295 10989\n70200 100000\n41473 62108\n37363 55934\n23210 34850\n36283 54329\n71501 100000\n36194 54191\n13555 20398\n36946 55312\n34973 52367\n84987 100000\n91613 100000\n54775 82060\n10957 16498\n76916 100000\n45648 68339\n79145 100000\n39259 58765\n24444 36689\n28686 43008\n39747 59484\n22702 34092\n10194 15337\n3564 5377\n74999 100000\n82650 100000\n96404 100000\n91983 100000\n71955 100000\n35785 53567\n71409 100000\n93019 100000\n62074 93086\n57353 85948\n30435 45610\n56720 85000\n72000 100000\n84599 100000\n78478 100000\n5613 8462\n15947 23953\n93017 100000\n80365 100000\n95551 100000\n30285 45383\n25203 37808\n43345 64903\n3918 5902\n29725 44537\n86222 100000\n81973 100000\n64265 96394\n59448 89123\n6449 9729\n30219 45277\n49798 74612\n56314 84376\n42664 63887\n17177 25783\n83208 100000\n74750 100000\n648 966\n28143 42201\n88901 100000\n32875 49253\n66628 99943\n5920 8946\n36358 54442\n15928 23927\n13830 20801\n93350 100000\n59995 89951\n41907 62762\n69532 100000\n9809 14754\n97190 100000\n68942 100000\n74850 100000\n5261 7942\n62508 93747\n19050 28612\n735 1096\n62487 93717\n72991 100000\n77207 100000\n1058 1587\n12853 19346\n19874 29859\n34890 52248\n38698 57918\n1822 2748\n10336 15551\n86886 100000\n69978 100000\n47067 70467\n9446 14203\n36839 55157\n60435 90608\n18381 27594\n56862 85213\n30762 46098\n92121 100000\n21186 31821\n52425 78526\n4376 6603\n68633 100000\n82568 100000\n3417 5161\n39023 58418\n52723 78970\n30368 45502\n57077 85535\n87500 100000\n62815 94207\n23818 35747\n81301 100000\n13782 20730\n71971 100000\n35582 53277\n16754 25146\n14817 22290\n51146 76630\n47103 70519\n55557 83234\n51663 77395\n19746 29659\n74136 100000\n18592 27906\n65846 98770\n15685 23571\n18687 28050\n15371 23115\n53827 80632\n59132 88630\n65483 98226\n96069 100000\n35678 53411\n94968 100000\n96286 100000\n37613 56306\n98334 100000\n35304 52851\n49512 74190\n23554 35361\n70968 100000\n28976 43435\n45517 68145\n33960 50878\n86320 100000\n37978 56850\n30259 45340\n24636 36972\n77295 100000\n64185 96272\n35180 52664\n88616 100000\n15430 23198\n33488 50172\n83820 100000\n7888 11878\n13698 20613\n75956 100000\n58268 87335\n41716 62475\n70479 100000\n10263 15445\n28781 43142\n53639 80342\n55338 82901\n91320 100000\n3825 5763\n48293 72323\n29651 44428\n95670 100000\n96891 100000\n8390 12625\n38900 58226\n81047 100000\n38872 58189\n3754 5654\n30966 46395\n28488 42707\n71319 100000\n88264 100000\n43379 64952\n83600 100000\n59558 89291\n69389 100000\n95351 100000\n47727 71455\n13044 19634\n73363 100000\n4253 6423\n74032 100000\n66178 99262\n57465 86116\n38796 58067\n53619 80312\n82495 100000\n16970 25473\n238 357\n21138 31752\n54488 81630\n1709 2566\n93428 100000\n63090 94615\n34097 51089\n47572 71229\n99329 100000\n77703 100000\n98536 100000\n97432 100000\n95794 100000\n42794 64083\n25790 38697\n98288 100000\n11008 16575\n72718 100000\n94800 100000\n63131 94681\n4556 6875\n4069 6140\n36940 55305\n83942 100000\n23290 34963\n6732 10168\n51695 77444\n69408 100000\n77643 100000\n9870 14850\n27694 41518\n76379 100000\n57278 85834\n16534 24831\n26628 39928\n3379 5107\n88546 100000\n79775 100000\n73918 100000\n72013 100000\n87364 100000\n55037 82437\n42187 63182\n43622 65308\n44756 67013\n95998 100000\n787 1179\n25860 38803\n57090 85553\n48576 72759\n543 811\n46860 70146\n26922 40359\n45458 68054\n6596 9958\n13310 20037\n27359 41022\n34525 51717\n62305 93442\n53378 79954\n69150 100000\n67740 100000\n56324 84392\n31654 47420\n76808 100000\n76316 100000\n87915 100000\n44147 66081\n18456 27706\n20038 30104\n41286 61826\n35599 53298\n2524 3827\n31298 46891\n59492 89191\n97542 100000\n13513 20331\n19470 29256\n73813 100000\n26920 40357\n68718 100000\n96318 100000\n97276 100000\n45616 68292\n66811 100000\n71249 100000\n65040 97565\n86794 100000\n96382 100000\n66611 99915\n51152 76641\n53900 80741\n73940 100000\n29672 44456\n7475 11264\n57425 86060\n93971 100000\n80039 100000\n93789 100000\n28539 42790\n90492 100000\n77263 100000\n82668 100000\n71448 100000\n34497 51677\n65763 98643\n56197 84205\n81141 100000\n53533 80181\n37947 56804\n54666 81896\n46245 69237\n88468 100000\n65990 98982\n45438 68024\n51304 76869\n44230 66207\n84095 100000\n38938 58284\n78594 100000\n84267 100000\n49447 74093\n28333 42480\n51962 77830\n28063 42077\n66957 100000\n64079 96112\n27035 40528\n2447 3714\n3325 5028\n91598 100000\n65520 98280\n56041 83968\n94952 100000\n42365 63452\n94440 100000\n23175 34797\n68571 100000\n68406 100000\n71730 100000\n86363 100000\n38517 57666\n60388 90539\n73820 100000\n82730 100000\n55560 83237\n84531 100000\n59704 89514\n24591 36904\n57129 85609\n2392 3626\n55980 83871\n8356 12578\n24275 36429\n4147 6258\n16250 24408\n35838 53647\n74976 100000\n93658 100000\n33869 50738\n64070 96097\n16374 24587\n32918 49319\n46647 69842\n23770 35679\n85278 100000\n55786 83579\n20922 31432\n28504 42734\n37396 55980\n41877 62723\n28223 42322\n75054 100000\n77505 100000\n71170 100000\n30931 46344\n55209 82701\n17760 26666\n78873 100000\n93288 100000\n12295 18505\n93139 100000\n50511 75674\n53915 80763\n38782 58046\n40660 60878\n15393 23147\n15654 23523\n20646 31019\n36224 54237\n93143 100000\n82212 100000\n26529 39788\n23959 35954\n91693 100000\n25434 38156\n25329 37994\n74267 100000\n32271 48336\n86399 100000\n82434 100000\n57684 86459\n55757 83534\n3813 5745\n65791 98685\n53425 80021\n83403 100000\n6812 10292\n89630 100000\n7402 11149\n87262 100000\n21336 32036\n12478 18784\n97583 100000\n59099 88578\n98112 100000\n88525 100000\n88089 100000\n84894 100000\n53987 80875\n92543 100000\n72599 100000\n65866 98800\n86902 100000\n60389 90540\n60257 90337\n5497 8295\n37740 56493\n61384 92029\n11806 17779\n35608 53310\n41680 62421\n92882 100000\n43879 65682\n3668 5524\n64452 96669\n19034 28587\n14856 22349\n8743 13155\n3416 5159\n11796 17765\n6756 10205\n13095 19707\n64192 96284\n1983 2994\n94700 100000\n87037 100000\n95973 100000\n21051 31619\n51443 77080\n84182 100000\n70862 100000\n96670 100000\n11631 17515\n61197 91750\n4071 6143\n30542 45768\n48389 72474\n21314 32004\n97034 100000\n45376 67929\n68726 100000\n33887 50766\n77601 100000\n22175 33308\n51099 76559\n64042 96052\n23830 35763\n61923 92855\n18557 27858\n54844 82158\n3461 5224\n83601 100000\n50055 75001\n85782 100000\n31831 47686\n94988 100000\n57641 86392\n308 462\n52469 78597\n89766 100000\n45677 68382\n62496 93729\n62812 94203\n78831 100000\n71709 100000\n83770 100000\n6884 10398\n18159 27263\n59823 89692\n94136 100000\n57389 86000\n79420 100000\n36868 55199\n27451 41159\n46926 70245\n45899 68716\n14469 21762\n88800 100000\n98094 100000\n86820 100000\n24959 37439\n60279 90372\n26302 39460\n19576 29411\n74233 100000\n88707 100000\n91063 100000\n5140 7760\n92729 100000\n11785 17749\n92872 100000\n6204 9362\n4125 6225\n80754 100000\n14696 22109\n34360 51478\n17647 26501\n76761 100000\n3156 4779\n58602 87825\n93295 100000\n15782 23714\n42420 63530\n17824 26760\n34717 51990\n5619 8470\n21789 32721\n18043 27088\n60399 90555\n12200 18360\n84781 100000\n97124 100000\n5437 8206\n64511 96759\n89821 100000\n90790 100000\n43682 65392\n70840 100000\n99207 100000\n84925 100000\n97345 100000\n80306 100000\n13336 20073\n34386 51518\n16320 24509\n16659 25000\n80627 100000\n9174 13797\n88074 100000\n53192 79668\n11522 17355\n45150 67594\n49186 73690\n82782 100000\n67289 100000\n83432 100000\n88354 100000\n43603 65274\n762 1139\n97068 100000\n86821 100000\n34515 51704\n31308 46904\n22835 34292\n91889 100000\n62834 94237\n49688 74445\n6814 10294\n18189 27308\n40507 60646\n62728 94085\n83074 100000\n40097 60032\n94619 100000\n69733 100000\n55024 82421\n23749 35648\n75290 100000\n5955 9000\n64332 96496\n96185 100000\n45472 68076\n13832 20805\n87107 100000\n32406 48529\n73338 100000\n70816 100000\n80573 100000\n76017 100000\n25266 37900\n96447 100000\n29746 44569\n44273 66276\n76023 100000\n45245 67736\n21803 32744\n59256 88822\n6713 10137\n74020 100000\n20365 30596\n45986 68845\n86095 100000\n77895 100000\n29026 43507\n75463 100000\n5399 8150\n35649 53373\n32983 49411\n5698 8593\n45481 68091\n3340 5051\n13746 20679\n33145 49649\n95068 100000\n78126 100000\n54768 82051\n67676 100000\n88538 100000\n55140 82595\n15278 22972\n49300 73856\n93445 100000\n25497 38248\n55197 82686\n24555 36846\n23739 35634\n94766 100000\n11820 17803\n92291 100000\n46957 70294\n31801 47642\n91743 100000\n4922 7434\n23860 35805\n86234 100000\n65715 98568\n23793 35711\n94389 100000\n18263 27419\n14632 22008\n33449 50111\n39992 59868\n91477 100000\n39222 58712\n76901 100000\n43066 64486\n59897 89805\n67744 100000\n37705 56442\n95621 100000\n93919 100000\n92148 100000\n55119 82568\n48512 72658\n65992 98986\n77760 100000\n67053 100000\n31064 46533\n80962 100000\n25563 38346\n714 1067\n31645 47407\n28858 43259\n33612 50361\n8591 12929\n94435 100000\n29560 44297\n77435 100000\n39685 59391\n22243 33415\n46654 69854\n73890 100000\n21224 31875\n3141 4756\n48242 72247\n74056 100000\n59193 88721\n22426 33685\n50283 75334\n93438 100000\n30386 45535\n51765 77548\n53828 80634\n30271 45361\n12686 19097\n52073 77994\n56221 84240\n9182 13809\n62730 94089\n12859 19355\n73941 100000\n77357 100000\n87551 100000\n55360 82933\n77141 100000\n27926 41863\n29875 44763\n50343 75425\n48430 72538\n14862 22359\n48503 72644\n82657 100000\n67621 100000\n98531 100000\n2957 4479\n78997 100000\n71196 100000\n9111 13694\n79546 100000\n95313 100000\n82026 100000\n32568 48777\n6863 10368\n91390 100000\n72347 100000\n82412 100000\n50087 75047\n87665 100000\n62214 93299\n38103 57039\n62876 94303\n36514 54683\n90477 100000\n57646 86398\n63283 94905\n89853 100000\n19167 28799\n63416 95098\n94431 100000\n79131 100000\n7744 11665\n65812 98715\n69526 100000\n25451 38183\n76637 100000\n74790 100000\n26755 40114\n45722 68448\n96466 100000\n64397 96590\n53158 79618\n20421 30687\n1880 2839\n29503 44207\n81792 100000\n85526 100000\n16700 25065\n36602 54812\n59674 89467\n43848 65638\n18006 27032\n76276 100000\n93778 100000\n1652 2477\n60909 91311\n4636 7004\n52938 79298\n20473 30763\n15591 23432\n39984 59856\n77533 100000\n48188 72161\n721 1076\n84174 100000\n82368 100000\n47286 70800\n48011 71894\n49040 73462\n8480 12754\n9416 14159\n48508 72651\n72090 100000\n25169 37754\n7740 11660\n93858 100000\n79694 100000\n91680 100000\n23033 34588\n94982 100000\n97082 100000\n52244 78249\n86679 100000\n55353 82922\n42707 63954\n74483 100000\n73514 100000\n70256 100000\n39154 58609\n88371 100000\n89475 100000\n63929 95887\n76978 100000\n70486 100000\n38492 57629\n77067 100000\n89052 100000\n50300 75359\n13943 20975\n478 714\n44648 66843\n42775 64053\n39037 58438\n18533 27821\n31100 46588\n53081 79509\n94584 100000\n38193 57175\n46079 68982\n70681 100000\n77778 100000\n91614 100000\n98686 100000\n15557 23383\n49677 74431\n63150 94706\n51136 76613\n71484 100000\n99768 100000\n18157 27261\n29949 44868\n16788 25203\n95929 100000\n43671 65375\n36738 55016\n44807 67088\n93606 100000\n63550 95306\n86093 100000\n27946 41894\n50873 76217\n54257 81281\n47976 71840\n33401 50039\n51883 77715\n98445 100000\n50182 75182\n32749 49057\n43328 64878\n55882 83725\n62430 93630\n70366 100000\n79861 100000\n32622 48862\n17576 26389\n87548 100000\n35236 52751\n25688 38538\n15096 22706\n68508 100000\n80321 100000\n63498 95223\n94753 100000\n77976 100000\n39354 58904\n79201 100000\n40776 61049\n78766 100000\n698 1044\n39419 59004\n74120 100000\n29756 44585\n38422 57525\n68914 100000\n2544 3856\n1976 2984\n5828 8798\n40676 60901\n58170 87191\n88067 100000\n17603 26428\n52152 78106\n99286 100000\n78277 100000\n719 1074\n82908 100000\n13220 19900\n34010 50952\n7963 11996\n94357 100000\n58421 87563\n57525 86214\n17660 26523\n71326 100000\n19180 28818\n9782 14712\n56891 85255\n53819 80621\n40718 60963\n68259 100000\n89428 100000\n83996 100000\n37204 55700\n16385 24604\n52263 78277\n40354 60415\n21327 32023\n38079 57005\n27292 40915\n13964 21009\n84905 100000\n19069 28639\n75393 100000\n61886 92797\n8425 12676\n10274 15463\n60231 90296\n86671 100000\n62278 93399\n57730 86529\n38708 57932\n5293 7988\n31124 46625\n55083 82512\n20302 30498\n61677 92480\n79063 100000\n52168 78131\n94719 100000\n67807 100000\n14617 21985\n95952 100000\n31904 47797\n259 387\n25607 38416\n99338 100000\n8273 12452\n49571 74270\n1879 2838\n85228 100000\n34341 51448\n62560 93826\n36759 55044\n6911 10439\n91569 100000\n97374 100000\n1153 1727\n69406 100000\n23880 35835\n54731 81989\n56977 85386\n81657 100000\n52720 78966\n77444 100000\n31387 47023\n1757 2641\n85377 100000\n64259 96385\n66317 99473\n86268 100000\n70934 100000\n6337 9562\n59570 89312\n26586 39870\n4286 6471\n68890 100000\n49311 73873\n32482 48645\n17434 26176\n83789 100000\n66093 99138\n95459 100000\n77569 100000\n49445 74091\n64705 97053\n5391 8138\n54867 82191\n24332 36516\n67893 100000\n69847 100000\n27681 41501\n90401 100000\n7132 10751\n31259 46835\n24005 36024\n68847 100000\n89473 100000\n12504 18823\n61135 91658\n21952 32969\n34005 50944\n75471 100000\n58927 88318\n26337 39511\n12513 18835\n7797 11741\n56709 84983\n84990 100000\n20834 31300\n37088 55529\n66169 99251\n27468 41187\n11677 17589\n11687 17602\n47033 70414\n54931 82285\n45932 68764\n53796 80588\n66838 100000\n22841 34301\n61424 92094\n77035 100000\n17919 26902\n56749 85042\n16479 24747\n79750 100000\n95061 100000\n29544 44268\n88637 100000\n28302 42436\n95212 100000\n42859 64176\n94644 100000\n88780 100000\n41430 62042\n33889 50768\n41446 62066\n82889 100000\n91645 100000\n12008 18067\n96906 100000\n54502 81650\n8744 13156\n33792 50625\n67550 100000\n83832 100000\n59973 89917\n45188 67652\n69735 100000\n31101 46590\n24595 36910\n71645 100000\n89653 100000\n34351 51464\n26368 39556\n13928 20952\n67733 100000\n72982 100000\n74527 100000\n43811 65582\n74073 100000\n32956 49374\n80638 100000\n9057 13611\n67596 100000\n62668 93987\n97956 100000\n61835 92718\n93357 100000\n39911 59749\n60040 90021\n2600 3941\n41784 62579\n556 832\n48866 73207\n57591 86321\n10872 16368\n28346 42498\n39228 58719\n91116 100000\n36540 54720\n955 1431\n99057 100000\n7488 11283\n60999 91445\n27151 40702\n90905 100000\n32654 48909\n6912 10440\n80478 100000\n797 1195\n90051 100000\n67182 100000\n50303 75363\n54219 81225\n15206 22868\n91860 100000\n1197 1791\n83851 100000\n24922 37385\n68285 100000\n16957 25454\n66074 99109\n94873 100000\n18540 27833\n34065 51038\n3279 4958\n53388 79969\n44939 67286\n14421 21699\n41182 61669\n79356 100000\n37408 55999\n12392 18652\n14754 22194\n67875 100000\n10624 15989\n38212 57203\n27444 41149\n16896 25365\n99113 100000\n47123 70549\n1694 2544\n35790 53573\n62218 93306\n70489 100000\n2612 3960\n55663 83393\n5913 8937\n21606 32450\n5707 8608\n7017 10593\n40601 60791\n64152 96220\n3925 5913\n44786 67058\n43635 65328\n28890 43307\n82640 100000\n9045 13594\n19168 28801\n97228 100000\n3124 4729\n90283 100000\n6220 9384\n916 1367\n31439 47096\n91793 100000\n9824 14779\n32387 48502\n80368 100000\n60936 91348\n6629 10005\n8597 12938\n19513 29322\n20734 31156\n24537 36820\n8266 12441\n2202 3330\n89918 100000\n82023 100000\n64988 97487\n30104 45102\n66158 99232\n39716 59437\n88445 100000\n77596 100000\n54343 81410\n85543 100000\n14468 21760\n78822 100000\n37806 56599\n52077 78000\n81677 100000\n12512 18833\n62690 94020\n31990 47928\n83641 100000\n69559 100000\n23660 35513\n59591 89343\n50042 74982\n81305 100000\n78600 100000\n39896 59725\n13623 20502\n67481 100000\n46414 69485\n34761 52057\n65599 98394\n92025 100000\n87408 100000\n61341 91963\n15908 23899\n49839 74678\n93348 100000\n64640 96954\n88086 100000\n1388 2074\n53629 80325\n44842 67140\n44945 67296\n50041 74981\n9662 14529\n60115 90125\n69294 100000\n76361 100000\n5395 8143\n48207 72194\n57288 85850\n28112 42156\n29237 43809\n16679 25031\n23491 35263\n54045 80967\n24768 37160\n22019 33067\n56235 84260\n89553 100000\n34226 51284\n45683 68391\n47719 71441\n64396 96588\n32312 48396\n89576 100000\n20745 31171\n40348 60405\n54640 81852\n35912 53759\n57097 85561\n99356 100000\n44801 67081\n79530 100000\n51526 77205\n537 804\n37227 55736\n36244 54268\n7817 11772\n22232 33400\n64019 96015\n30051 45026\n1398 2088\n10867 16360\n28167 42242\n82042 100000\n10234 15400\n25573 38364\n51658 77389\n38666 57868\n54040 80958\n14409 21680\n21603 32446\n4120 6216\n53342 79897\n59153 88661\n55075 82498\n68174 100000\n48067 71983\n4505 6797\n16175 24295\n81652 100000\n48601 72798\n83834 100000\n73002 100000\n84222 100000\n24019 36045\n63151 94707\n4030 6077\n19024 28572\n53820 80623\n88290 100000\n3277 4956\n23225 34869\n37635 56335\n86281 100000\n38610 57794\n10026 15082\n85834 100000\n55408 83009\n43031 64431\n10209 15357\n65701 98545\n95767 100000\n17612 26441\n1001 1501\n868 1292\n10127 15240\n35490 53130\n54296 81341\n43441 65041\n52471 78600\n29661 44442\n1311 1960\n99281 100000\n48811 73126\n42921 64272\n26111 39171\n48333 72386\n76750 100000\n23850 35790\n79197 100000\n69576 100000\n58116 87106\n83007 100000\n75502 100000\n63098 94625\n84545 100000\n63911 95862\n39760 59504\n46732 69970\n76384 100000\n33783 50609\n98753 100000\n84036 100000\n59938 89867\n18665 28022\n88888 100000\n38978 58346\n86860 100000\n19325 29038\n41173 61655\n22366 33599\n14780 22235\n28875 43284\n43532 65171\n38952 58307\n49932 74814\n30638 45919\n59611 89375\n50304 75364\n66583 99876\n31299 46892\n65033 97555\n55334 82893\n95034 100000\n84439 100000\n72530 100000\n98511 100000\n74664 100000\n8491 12771\n69323 100000\n19268 28953\n230 343\n93664 100000\n15594 23437\n9836 14797\n57878 86747\n87233 100000\n9517 14311\n59567 89306\n1185 1774\n837 1249\n11330 17076\n13989 21049\n17375 26084\n40677 60902\n2251 3407\n14639 22020\n39962 59823\n95907 100000\n4257 6428\n15873 23845\n15587 23427\n74673 100000\n7914 11919\n31572 47293\n72437 100000\n90576 100000\n18414 27641\n72578 100000\n86791 100000\n27594 41372\n50770 76067\n10411 15668\n66777 100000\n78955 100000\n70759 100000\n92055 100000\n46779 70038\n94940 100000\n77711 100000\n80294 100000\n93713 100000\n86529 100000\n14596 21951\n26601 39891\n60226 90289\n74746 100000\n50471 75610\n60297 90399\n67422 100000\n42828 64133\n52986 79364\n37126 55586\n35493 53134\n48251 72263\n47323 70859\n90432 100000\n82055 100000\n91465 100000\n95318 100000\n69889 100000\n90241 100000\n5675 8557\n99109 100000\n23373 35086\n85432 100000\n98406 100000\n47310 70840\n66546 99818\n92279 100000\n85775 100000\n28815 43191\n72202 100000\n85776 100000\n2111 3187\n97263 100000\n15798 23738\n25855 38795\n79165 100000\n45153 67599\n23706 35586\n46893 70198\n7795 11738\n93543 100000\n75802 100000\n34793 52108\n12293 18503\n31714 47515\n74622 100000\n75971 100000\n84873 100000\n99970 100000\n9786 14718\n77403 100000\n68139 100000\n39092 58517\n82573 100000\n3554 5362\n40870 61194\n18266 27424\n75441 100000\n1856 2801\n24142 36231\n24337 36525\n16218 24358\n24924 37387\n24539 36823\n62628 93926\n49256 73789\n30396 45551\n5404 8155\n67641 100000\n60620 90889\n32100 48083\n12066 18157\n17870 26829\n81129 100000\n35524 53183\n38784 58049\n32659 48918\n62031 93025\n87632 100000\n56993 85412\n58331 87430\n17225 25853\n22592 33930\n64928 97397\n78623 100000\n97611 100000\n8259 12432\n55411 83014\n38707 57931\n32191 48217\n32125 48118\n48820 73139\n13073 19678\n9004 13540\n31523 47223\n92502 100000\n47625 71307\n50391 75496\n40769 61037\n44051 65932\n85747 100000\n79052 100000\n66498 99745\n50079 75036\n98388 100000\n13707 20626\n73297 100000\n58968 88379\n83517 100000\n12877 19384\n30251 45330\n17050 25593\n26581 39863\n60750 91088\n45773 68524\n78330 100000\n88972 100000\n67702 100000\n73594 100000\n76686 100000\n12564 18915\n42480 63618\n85009 100000\n74824 100000\n96621 100000\n2830 4281\n82167 100000\n39056 58468\n79793 100000\n13126 19756\n88370 100000\n87044 100000\n17707 26591\n29634 44407\n13386 20150\n51256 76797\n72102 100000\n29591 44347\n28675 42991\n42544 63714\n86442 100000\n67824 100000\n23266 34927\n94904 100000\n34379 51508\n53846 80660\n46484 69595\n31657 47425\n88038 100000\n75420 100000\n37337 55898\n685 1026\n47922 71757\n79112 100000\n55806 83607\n63223 94812\n89481 100000\n45498 68117\n28332 42478\n67149 100000\n14824 22300\n57940 86845\n67432 100000\n16990 25506\n45258 67754\n36686 54939\n52644 78854\n39899 59730\n5197 7845\n73619 100000\n7670 11553\n23396 35120\n43507 65138\n82786 100000\n74554 100000\n65787 98681\n26090 39138\n67383 100000\n43396 64977\n26352 39531\n5136 7754\n11791 17757\n78326 100000\n60694 91002\n74535 100000\n18230 27370\n20852 31329\n14503 21815\n74689 100000\n66145 99215\n74996 100000\n4334 6541\n32445 48588\n69893 100000\n56778 85087\n27324 40964\n60038 90018\n19326 29040\n9849 14817\n41028 61434\n22918 34412\n12650 19044\n82467 100000\n24979 37469\n78526 100000\n73636 100000\n67500 100000\n10976 16526\n65772 98657\n8917 13409\n65172 97773\n84325 100000\n61632 92411\n38088 57018\n90756 100000\n1307 1955\n81825 100000\n21310 32000\n65534 98302\n89303 100000\n33905 50793\n9594 14422\n334 501\n96779 100000\n64000 95986\n84982 100000\n94564 100000\n34064 51036\n77083 100000\n87437 100000\n46873 70165\n60110 90118\n98490 100000\n66461 99686\n49064 73500\n95314 100000\n251 377\n27793 41669\n45459 68056\n18544 27840\n40195 60179\n58989 88412\n31496 47183\n49003 73408\n18935 28437\n16750 25139\n86885 100000\n49596 74309\n22488 33778\n19985 30027\n813 1218\n65473 98211\n43208 64696\n29300 43911\n34578 51787\n60711 91027\n20738 31162\n35226 52734\n46026 68902\n4435 6694\n80390 100000\n61914 92840\n67069 100000\n78909 100000\n7479 11270\n76263 100000\n66348 99520\n99469 100000\n75258 100000\n71560 100000\n92497 100000\n68582 100000\n23636 35481\n30589 45845\n13922 20944\n90163 100000\n41305 61856\n9940 14952\n65367 98058\n64086 96120\n49828 74662\n91554 100000\n39767 59515\n24361 36561\n44036 65911\n63504 95233\n77437 100000\n56352 84435\n82421 100000\n35510 53159\n24129 36211\n99274 100000\n89658 100000\n93918 100000\n2865 4336\n10609 15966\n39569 59217\n27792 41667\n36711 54973\n17903 26879\n63171 94735\n10267 15453\n35975 53857\n93479 100000\n13737 20667\n65601 98398\n94875 100000\n53239 79739\n42930 64282\n26973 40434\n70291 100000\n75324 100000\n44160 66100\n94297 100000\n25028 37551\n19722 29624\n21980 33008\n49071 73510\n52791 79074\n78331 100000\n56121 84089\n54173 81155\n66026 99035\n12069 18161\n91468 100000\n15347 23079\n56754 85049\n5354 8081\n58792 88119\n5126 7742\n50313 75379\n7297 10992\n78136 100000\n55410 83012\n64401 96597\n85158 100000\n26680 40004\n51822 77631\n21308 31996\n20901 31402\n25417 38129\n13712 20634\n287 428\n79442 100000\n38271 57293\n88680 100000\n862 1282\n18032 27071\n98105 100000\n69724 100000\n47090 70497\n11731 17665\n4687 7078\n12820 19295\n59020 88457\n90156 100000\n83736 100000\n29270 43864\n85488 100000\n89452 100000\n69967 100000\n28593 42871\n5857 8844\n7585 11428\n42824 64126\n16289 24466\n21998 33033\n30608 45873\n96957 100000\n40779 61054\n97346 100000\n36936 55299\n52109 78044\n66922 100000\n91964 100000\n6434 9704\n99152 100000\n94990 100000\n2733 4141\n38567 57729\n19885 29875\n86503 100000\n44861 67170\n40999 61393\n99644 100000\n54029 80939\n66977 100000\n60944 91361\n20510 30817\n52271 78291\n35726 53480\n76228 100000\n81848 100000\n26156 39240\n30866 46250\n17394 26115\n80153 100000\n51140 76621\n3334 5042\n67203 100000\n23970 35970\n1423 2127\n75198 100000\n17778 26692\n99954 100000\n92076 100000\n47632 71317\n8631 12986\n29437 44114\n51358 76954\n84893 100000\n64419 96625\n68844 100000\n24825 37238\n17638 26485\n67418 100000\n65185 97791\n96578 100000\n8509 12799\n55117 82564\n41841 62673\n16272 24441\n13704 20622\n11987 18036\n3587 5409\n30856 46235\n41341 61906\n94690 100000\n47483 71095\n34288 51370\n7883 11871\n76673 100000\n98984 100000\n35346 52914\n23988 35998\n63159 94717\n13868 20863\n20713 31120\n59027 88469\n88396 100000\n63661 95478\n94342 100000\n23698 35572\n98734 100000\n10977 16528\n23186 34812\n32267 48330\n67073 100000\n49428 74065\n24348 36541\n50898 76254\n61981 92953\n27575 41345\n66936 100000\n29244 43820\n75403 100000\n86346 100000\n33112 49603\n87840 100000\n89740 100000\n16812 25238\n7841 11807\n481 717\n64952 97433\n2479 3759\n32833 49188\n70114 100000\n20079 30167\n86411 100000\n59606 89367\n13984 21042\n83218 100000\n98796 100000\n18660 28013\n85332 100000\n20899 31400\n79806 100000\n68536 100000\n22196 33343\n70474 100000\n80069 100000\n13563 20411\n54365 81443\n24084 36139\n62555 93819\n65867 98801\n2904 4395\n53432 80030\n64290 96432\n67224 100000\n83993 100000\n29583 44333\n97234 100000\n15666 23541\n93577 100000\n93231 100000\n44310 66329\n36300 54352\n13055 19652\n34311 51408\n89032 100000\n97009 100000\n65052 97582\n55316 82863\n91775 100000\n91139 100000\n99705 100000\n5134 7752\n32655 48911\n76269 100000\n78528 100000\n51286 76843\n75163 100000\n10574 15911\n89460 100000\n4656 7033\n19004 28542\n81904 100000\n87335 100000\n38686 57898\n72066 100000\n83627 100000\n61970 92935\n19289 28985\n18532 27819\n61395 92048\n62443 93653\n98549 100000\n8272 12450\n17251 25893\n99974 100000\n85264 100000\n31519 47216\n29272 43866\n20088 30180\n21286 31964\n31795 47635\n46247 69239\n15017 22593\n70894 100000\n20938 31457\n55105 82549\n88405 100000\n69937 100000\n15185 22838\n5307 8009\n6150 9283\n46310 69336\n43303 64843\n38780 58042\n96652 100000\n39924 59766\n35400 52995\n34792 52107\n2335 3532\n1928 2914\n40921 61277\n23936 35920\n23981 35988\n4813 7270\n52359 78426\n95792 100000\n4504 6796\n68192 100000\n32142 48144\n69022 100000\n74177 100000\n73471 100000\n70585 100000\n5502 8301\n58148 87158\n88910 100000\n85376 100000\n10769 16215\n96329 100000\n54828 82136\n94583 100000\n44706 66939\n93756 100000\n30789 46138\n83104 100000\n83462 100000\n45496 68115\n35931 53788\n95355 100000\n67688 100000\n99116 100000\n69239 100000\n34536 51730\n90270 100000\n59196 88727\n82220 100000\n23678 35543\n13507 20322\n71791 100000\n77195 100000\n9270 13944\n52049 77958\n48001 71881\n3975 5990\n23922 35897\n32646 48897\n67761 100000\n36823 55133\n56809 85135\n28658 42963\n82024 100000\n30206 45258\n28590 42867\n94483 100000\n88812 100000\n49375 73979\n11462 17266\n9010 13548\n61358 91990\n9808 14753\n66767 100000\n62982 94459\n37029 55436\n8561 12879\n92165 100000\n18389 27606\n78266 100000\n21182 31815\n14869 22370\n28160 42231\n90649 100000\n24530 36810\n3471 5240\n43843 65630\n31207 46759\n38591 57765\n75681 100000\n48990 73389\n31404 47050\n30052 45027\n85848 100000\n69370 100000\n54053 80979\n52303 78342\n15977 23996\n90389 100000\n16399 24625\n91815 100000\n90082 100000\n19497 29298\n47875 71686\n42522 63680\n69814 100000\n67424 100000\n35647 53369\n70254 100000\n91056 100000\n93737 100000\n14464 21756\n944 1411\n30983 46419\n40245 60252\n63353 95005\n98662 100000\n78555 100000\n23242 34892\n83410 100000\n4800 7248\n6301 9505\n78487 100000\n45766 68515\n88352 100000\n39121 58565\n7664 11545\n48767 73055\n30024 44984\n12707 19127\n44641 66833\n65239 97871\n44008 65869\n65215 97837\n59985 89935\n62955 94421\n79657 100000\n30475 45667\n46188 69146\n49806 74626\n98222 100000\n35506 53154\n59991 89945\n11223 16913\n36919 55276\n10354 15582\n29861 44743\n89526 100000\n38182 57158\n83668 100000\n61480 92183\n68488 100000\n52675 78897\n11447 17243\n91241 100000\n47918 71751\n53408 79999\n8298 12492\n5824 8793\n27050 40555\n31899 47789\n54686 81926\n89618 100000\n52142 78092\n99471 100000\n95961 100000\n3940 5937\n62240 93340\n42209 63213\n19231 28898\n26560 39834\n43020 64414\n2203 3332\n79309 100000\n40744 60999\n16701 25066\n28636 42932\n10553 15880\n55362 82936\n4224 6378\n3931 5923\n33940 50845\n36637 54865\n39869 59684\n94746 100000\n49724 74503\n56777 85085\n96094 100000\n44964 67320\n92101 100000\n14234 21423\n93750 100000\n3962 5968\n27676 41493\n63740 95598\n20355 30582\n43033 64433\n71815 100000\n33274 49853\n53258 79769\n60794 91146\n62057 93062\n22254 33431\n42823 64125\n93392 100000\n80194 100000\n41231 61745\n82963 100000\n46584 69755\n40447 60559\n53275 79795\n53398 79984\n89573 100000\n62151 93206\n54894 82231\n93767 100000\n64739 97102\n6755 10203\n95252 100000\n530 790\n18917 28409\n92774 100000\n19134 28744\n69934 100000\n68705 100000\n48683 72925\n40167 60140\n64143 96204\n14099 21229\n30067 45050\n24575 36878\n95509 100000\n49873 74729\n44354 66395\n62094 93118\n39750 59489\n89013 100000\n96101 100000\n20960 31489\n68621 100000\n11476 17284\n59765 89612\n8330 12538\n32673 48938\n27755 41607\n67662 100000\n68008 100000\n74213 100000\n22981 34506\n95689 100000\n91308 100000\n49033 73451\n75825 100000\n46165 69110\n8498 12785\n60672 90970\n84051 100000\n30509 45719\n10711 16124\n87070 100000\n34185 51221\n35388 52976\n94113 100000\n53153 79612\n97220 100000\n2206 3336\n47118 70541\n2348 3556\n9379 14108\n62215 93301\n17785 26701\n75545 100000\n77098 100000\n61609 92378\n67579 100000\n14830 22308\n65713 98564\n41172 61653\n46630 69819\n17221 25847\n93745 100000\n80523 100000\n99302 100000\n21800 32739\n32521 48704\n7192 10842\n78978 100000\n34880 52234\n29208 43765\n4273 6451\n45834 68617\n10857 16345\n31364 46991\n54142 81110\n19124 28730\n94565 100000\n9370 14096\n72922 100000\n96635 100000\n73883 100000\n81980 100000\n87089 100000\n23871 35822\n68071 100000\n72674 100000\n79769 100000\n22770 34194\n38732 57966\n37281 55818\n65654 98473\n74190 100000\n49305 73864\n32240 48292\n14818 22291\n76930 100000\n76803 100000\n16787 25201\n22144 33261\n99004 100000\n15730 23640\n48460 72583\n29701 44497\n23180 34803\n88698 100000\n65082 97629\n40547 60709\n88339 100000\n74952 100000\n65980 98968\n37471 56095\n55326 82879\n15558 23385\n83858 100000\n49337 73915\n6118 9235\n14408 21679\n26777 40145\n50213 75229\n21014 31562\n47621 71301\n64649 96968\n77701 100000\n23287 34959\n79030 100000\n62433 93636\n53522 80164\n57972 86890\n12427 18706\n54233 81243\n34955 52340\n94576 100000\n73949 100000\n60911 91315\n72050 100000\n175 257\n53235 79731\n3674 5533\n9703 14590\n74262 100000\n8611 12957\n38672 57875\n81846 100000\n55123 82573\n28042 42044\n18548 27846\n82751 100000\n90045 100000\n78991 100000\n51720 77479\n40095 60029\n59848 89729\n30316 45430\n73401 100000\n52920 79269\n47530 71167\n79190 100000\n56264 84305\n7528 11348\n60260 90342\n33830 50680\n83261 100000\n81662 100000\n79895 100000\n99112 100000\n1520 2277\n99276 100000\n19613 29469\n45531 68165\n42456 63582\n94188 100000\n90679 100000\n41605 62305\n77498 100000\n38657 57855\n6853 10352\n57265 85814\n99215 100000\n64049 96064\n24132 36216\n50097 75060\n28068 42085\n71099 100000\n64196 96290\n45529 68162\n48440 72553\n7949 11973\n63201 94779\n8415 12662\n32725 49022\n96040 100000\n87268 100000\n1257 1881\n29570 44313\n82582 100000\n69745 100000\n8020 12079\n44186 66140\n38285 57311\n86763 100000\n13674 20578\n32873 49249\n8352 12572\n25592 38394\n44087 65984\n68440 100000\n16729 25104\n25890 38847\n9778 14705\n52858 79174\n84485 100000\n81569 100000\n50116 75088\n63463 95168\n85719 100000\n3690 5558\n51601 77308\n27253 40856\n56851 85198\n61973 92941\n65023 97537\n91861 100000\n30061 45042\n91501 100000\n92992 100000\n80288 100000\n80681 100000\n1511 2261\n91570 100000\n12793 19258\n78052 100000\n70103 100000\n29965 44890\n97154 100000\n59140 88641\n76928 100000\n97202 100000\n485 723\n27383 41059\n73348 100000\n62832 94233\n28612 42900\n89538 100000\n22291 33489\n79756 100000\n35826 53627\n50178 75177\n89789 100000\n23252 34910\n97215 100000\n48957 73337\n73137 100000\n14647 22033\n6335 9558\n81341 100000\n79729 100000\n13730 20657\n84098 100000\n56741 85031\n89732 100000\n57580 86304\n89801 100000\n81327 100000\n61279 91876\n75034 100000\n34967 52359\n69107 100000\n57318 85898\n2765 4184\n67312 100000\n79005 100000\n43055 64468\n98871 100000\n6855 10355\n27733 41574\n5398 8149\n15429 23197\n26333 39505\n29071 43576\n44987 67354\n11192 16865\n39544 59180\n17080 25638\n28471 42685\n7953 11978\n27812 41696\n91676 100000\n61168 91706\n62888 94322\n51704 77457\n35089 52538\n99143 100000\n55554 83229\n8402 12643\n50320 75390\n82713 100000\n81995 100000\n98076 100000\n59739 89568\n23402 35129\n4237 6398\n4885 7380\n50083 75041\n67930 100000\n48737 73010\n92633 100000\n54251 81271\n78771 100000\n33916 50809\n49231 73756\n55112 82558\n1548 2317\n88214 100000\n77007 100000\n13799 20752\n56100 84058\n81678 100000\n60169 90206\n82814 100000\n43675 65381\n30903 46302\n33235 49791\n69776 100000\n1093 1640\n20748 31176\n41904 62759\n52200 78183\n84609 100000\n63683 95515\n84544 100000\n17835 26778\n59283 88866\n51395 77006\n19666 29546\n81864 100000\n64250 96375\n81990 100000\n57634 86381\n68558 100000\n15628 23487\n55966 83852\n7286 10976\n75270 100000\n16445 24695\n11904 17914\n2073 3132\n12376 18632\n74886 100000\n41219 61728\n97165 100000\n96835 100000\n78259 100000\n12786 19248\n12354 18596\n41339 61904\n25806 38718\n94262 100000\n27750 41600\n45017 67397\n56935 85320\n88358 100000\n36112 54061\n34529 51723\n50329 75405\n56504 84665\n80472 100000\n11285 17008\n86730 100000\n47130 70560\n2483 3765\n27059 40565\n68403 100000\n5842 8819\n1374 2054\n58427 87571\n70711 100000\n3301 4992\n11963 18000\n11385 17152\n11808 17783\n38594 57770\n10994 16553\n31908 47804\n22967 34485\n84529 100000\n73772 100000\n84254 100000\n63533 95281\n19917 29926\n7612 11467\n10308 15509\n45019 67399\n90853 100000\n73971 100000\n40943 61309\n15659 23530\n74491 100000\n50400 75507\n72065 100000\n84151 100000\n29242 43817\n84476 100000\n18053 27104\n91772 100000\n65183 97787\n1225 1833\n54531 81693\n30115 45119\n86187 100000\n58715 87999\n55750 83525\n49302 73858\n35429 53042\n52180 78150\n85842 100000\n84408 100000\n28932 43369\n98415 100000\n77560 100000\n35442 53060\n58375 87492\n31183 46719\n89571 100000\n10313 15517\n72842 100000\n60223 90286\n91656 100000\n58588 87805\n58232 87276\n39270 58780\n20926 31440\n87888 100000\n26851 40256\n59641 89417\n7767 11697\n63516 95250\n86199 100000\n7558 11391\n17800 26721\n41539 62206\n541 808\n99490 100000\n6246 9420\n47984 71855\n43064 64483\n80950 100000\n5389 8135\n68535 100000\n38524 57673\n50242 75274\n18679 28039\n26361 39546\n99149 100000\n40362 60428\n28161 42232\n1637 2454\n39745 59481\n44678 66893\n54897 82237\n47370 70931\n22818 34264\n99288 100000\n96799 100000\n53178 79649\n5979 9037\n80474 100000\n63366 95022\n68907 100000\n76850 100000\n82547 100000\n59453 89128\n89381 100000\n6971 10529\n53389 79971\n60950 91368\n8134 12239\n95095 100000\n121 174\n20266 30450\n36133 54097\n86290 100000\n89075 100000\n26964 40421\n53854 80672\n58173 87194\n55295 82834\n16702 25067\n68161 100000\n28224 42324\n470 702\n20267 30451\n63741 95599\n78655 100000\n83821 100000\n83735 100000\n36208 54213\n9080 13642\n59885 89787\n11918 17936\n87463 100000\n27789 41662\n33078 49551\n73575 100000\n91307 100000\n95692 100000\n31617 47365\n26935 40379\n71247 100000\n18203 27329\n15592 23434\n72227 100000\n12316 18538\n74471 100000\n31792 47629\n73665 100000\n26538 39799\n89668 100000\n61365 92001\n33927 50826\n46756 70003\n33796 50630\n12605 18977\n25785 38688\n42497 63645\n86940 100000\n17635 26482\n3972 5985\n9092 13661\n79358 100000\n90532 100000\n34634 51869\n80517 100000\n46300 69323\n39302 58825\n34344 51453\n1735 2604\n10231 15395\n87035 100000\n75791 100000\n93782 100000\n45040 67430\n1587 2379\n68394 100000\n95787 100000\n20425 30692\n23662 35516\n81991 100000\n19419 29183\n87371 100000\n75962 100000\n12883 19391\n95938 100000\n26398 39600\n82287 100000\n12974 19531\n92343 100000\n37926 56770\n96653 100000\n67023 100000\n33772 50594\n79436 100000\n91070 100000\n51621 77338\n3723 5606\n73604 100000\n98116 100000\n25575 38366\n62882 94312\n26559 39833\n52252 78261\n16629 24958\n11566 17418\n32121 48113\n54475 81608\n32596 48820\n43773 65532\n61944 92891\n60369 90508\n9415 14158\n14007 21076\n98114 100000\n13024 19605\n22409 33663\n5634 8492\n90813 100000\n94324 100000\n42764 64038\n12282 18486\n16692 25053\n83972 100000\n49133 73609\n76152 100000\n48419 72522\n37490 56123\n89762 100000\n4423 6675\n80264 100000\n32871 49245\n95808 100000\n13758 20697\n99538 100000\n57228 85754\n81267 100000\n24213 36333\n22354 33578\n2408 3652\n65447 98178\n45213 67689\n50274 75321\n62469 93693\n99559 100000\n65228 97855\n77151 100000\n29734 44550\n33029 49480\n73191 100000\n54506 81657\n52977 79349\n93769 100000\n89254 100000\n1167 1751\n65402 98109\n25850 38789\n26960 40414\n25568 38354\n83377 100000\n89267 100000\n28431 42627\n63390 95060\n96541 100000\n97774 100000\n57294 85860\n42703 63949\n81870 100000\n29733 44549\n25046 37576\n68826 100000\n49466 74119\n3722 5604\n54769 82052\n72293 100000\n25351 38029\n79313 100000\n6661 10051\n82654 100000\n88703 100000\n65504 98257\n55553 83227\n41096 61537\n31898 47788\n24584 36893\n77446 100000\n21156 31776\n94388 100000\n42850 64164\n52534 78698\n99297 100000\n86097 100000\n98071 100000\n58393 87520\n31331 46941\n12116 18231\n57368 85971\n10895 16406\n24338 36526\n3488 5267\n69551 100000\n58140 87145\n51740 77508\n40519 60664\n77581 100000\n83238 100000\n41544 62212\n6164 9306\n43163 64629\n89703 100000\n33242 49801\n77188 100000\n25188 37784\n93004 100000\n36792 55092\n84923 100000\n1675 2513\n31517 47213\n71811 100000\n78501 100000\n33786 50615\n50779 76081\n16430 24670\n99863 100000\n65940 98913\n6244 9417\n40643 60853\n58730 88022\n11375 17137\n79382 100000\n63186 94755\n13877 20879\n14191 21364\n30540 45765\n83695 100000\n66657 99986\n67512 100000\n8247 12413\n58394 87522\n68817 100000\n5416 8173\n54157 81132\n93861 100000\n78383 100000\n25221 37836\n12418 18692\n39054 58465\n35841 53652\n21530 32334\n65331 98007\n25104 37661\n81618 100000\n34213 51263\n25168 37752\n65645 98463\n20010 30066\n64020 96017\n91202 100000\n37181 55668\n58787 88114\n34217 51270\n32741 49045\n25003 37510\n81769 100000\n40232 60233\n9582 14409\n93294 100000\n27262 40868\n99181 100000\n78869 100000\n55756 83533\n63031 94528\n10021 15075\n48455 72574\n31385 47020\n1917 2898\n90569 100000\n41043 61456\n92990 100000\n66252 99374\n93615 100000\n97113 100000\n56662 84915\n81819 100000\n29941 44858\n26212 39325\n734 1095\n95020 100000\n86737 100000\n20705 31107\n46151 69089\n45108 67535\n20581 30922\n30313 45425\n99846 100000\n38126 57073\n15786 23721\n55855 83682\n22670 34042\n54314 81365\n56456 84591\n76894 100000\n98118 100000\n42841 64152\n25059 37597\n70712 100000\n20729 31149\n9184 13812\n32269 48333\n78988 100000\n11547 17392\n99865 100000\n30598 45859\n96219 100000\n43739 65483\n26780 40150\n37632 56331\n89031 100000\n93817 100000\n92767 100000\n32517 48697\n59050 88501\n60793 91145\n24649 36987\n60081 90079\n9488 14268\n42546 63716\n7099 10703\n41657 62382\n92937 100000\n89077 100000\n22871 34340\n55325 82878\n45027 67410\n22630 33986\n81686 100000\n12236 18416\n45783 68538\n5313 8019\n82045 100000\n59662 89449\n87186 100000\n55516 83169\n54226 81234\n49610 74331\n31078 46555\n73692 100000\n62139 93185\n92933 100000\n69093 100000\n95143 100000\n84110 100000\n61603 92370\n2195 3317\n42825 64128\n91258 100000\n70477 100000\n1341 2004\n72740 100000\n27215 40800\n40853 61169\n34089 51075\n6653 10040\n79372 100000\n54390 81477\n56071 84012\n10035 15096\n83237 100000\n53088 79520\n68420 100000\n69730 100000\n66109 99164\n50667 75913\n66164 99241\n48921 73289\n24006 36025\n11432 17222\n95745 100000\n69410 100000\n46805 70073\n9335 14042\n24422 36655\n64829 97245\n10828 16309\n30058 45037\n9758 14676\n57367 85969\n29279 43876\n30209 45262\n32115 48105\n43457 65063\n76515 100000\n91047 100000\n52946 79308\n13815 20779\n1696 2547\n81772 100000\n73041 100000\n11701 17620\n2168 3276\n55778 83566\n78796 100000\n40024 59920\n27140 40686\n79220 100000\n77810 100000\n4220 6371\n85915 100000\n99950 100000\n37171 55652\n53325 79870\n19310 29015\n22681 34060\n45557 68201\n20337 30553\n57416 86045\n3094 4687\n12922 19452\n87220 100000\n57103 85570\n55751 83526\n84201 100000\n58709 87990\n80788 100000\n59237 88790\n51352 76944\n61695 92507\n71257 100000\n77013 100000\n95218 100000\n76278 100000\n53447 80056\n21645 32510\n50502 75660\n46928 70249\n69586 100000\n93373 100000\n16405 24633\n75700 100000\n5426 8189\n32717 49010\n89546 100000\n27462 41178\n79867 100000\n47196 70664\n19879 29866\n21765 32686\n50715 75984\n64518 96770\n63468 95176\n17932 26921\n87225 100000\n10969 16514\n92973 100000\n37908 56747\n74529 100000\n45138 67575\n55862 83694\n30083 45071\n30741 46070\n24952 37428\n94720 100000\n22773 34199\n49737 74522\n66631 99947\n34922 52292\n62297 93430\n88913 100000\n88219 100000\n88338 100000\n69696 100000\n57625 86368\n90117 100000\n88782 100000\n86612 100000\n74813 100000\n80160 100000\n6925 10458\n13052 19647\n98257 100000\n17164 25765\n52173 78139\n54098 81050\n17067 25617\n42547 63717\n30485 45682\n82034 100000\n89903 100000\n31932 47838\n34072 51048\n28943 43385\n38323 57374\n21307 31994\n9888 14878\n40314 60351\n16498 24776\n31644 47406\n43719 65450\n68037 100000\n10462 15742\n20983 31521\n12826 19305\n57946 86853\n11998 18054\n25079 37627\n40390 60467\n518 770\n57392 86004\n91913 100000\n32455 48604\n84816 100000\n78210 100000\n70235 100000\n65819 98724\n67367 100000\n91349 100000\n36937 55301\n9683 14561\n2816 4255\n32524 48708\n39728 59455\n35863 53684\n72353 100000\n31610 47355\n96044 100000\n88135 100000\n81744 100000\n44471 66574\n80279 100000\n51807 77610\n14302 21521\n82482 100000\n63910 95861\n20499 30800\n49092 73545\n59659 89445\n4829 7292\n2827 4275\n48708 72961\n93060 100000\n23842 35778\n8674 13049\n14816 22289\n98165 100000\n54739 82002\n37875 56691\n56920 85299\n10368 15603\n83596 100000\n62362 93518\n19990 30035\n67356 100000\n62066 93074\n21540 32351\n44145 66077\n80055 100000\n80999 100000\n92574 100000\n13924 20947\n5786 8733\n13259 19960\n49205 73716\n58434 87580\n27276 40889\n46014 68882\n11817 17799\n88216 100000\n58313 87404\n68056 100000\n89126 100000\n25887 38842\n92531 100000\n17614 26444\n94750 100000\n99373 100000\n8806 13249\n50061 75009\n20647 31020\n64785 97174\n28964 43418\n19455 29234\n99332 100000\n26728 40073\n41541 62208\n77283 100000\n12394 18655\n88919 100000\n90312 100000\n41226 61738\n20991 31529\n3225 4878\n50365 75459\n5206 7860\n33199 49735\n59869 89763\n66452 99671\n95844 100000\n32408 48533\n50501 75658\n15005 22577\n22956 34469\n4384 6616\n96440 100000\n34110 51108\n31604 47346\n43135 64587\n96140 100000\n87142 100000\n88534 100000\n58468 87632\n86898 100000\n3904 5879\n4557 6876\n61983 92955\n82563 100000\n42177 63168\n66337 99504\n93518 100000\n93468 100000\n36456 54596\n78237 100000\n82252 100000\n79026 100000\n50584 75788\n31796 47636\n81215 100000\n13993 21055\n4860 7341\n63892 95834\n87173 100000\n71001 100000\n71589 100000\n29696 44488\n17909 26887\n8640 12998\n67235 100000\n75969 100000\n10781 16232\n73189 100000\n94381 100000\n49814 74638\n60605 90863\n28793 43158\n42842 64153\n1661 2490\n19223 28885\n82288 100000\n48287 72315\n10309 15511\n66820 100000\n43581 65242\n87353 100000\n18775 28183\n46167 69112\n5113 7725\n83741 100000\n71037 100000\n81891 100000\n93422 100000\n64358 96535\n7473 11261\n61454 92137\n52983 79359\n10610 15967\n83460 100000\n3241 4900\n31498 47186\n18070 27130\n64240 96358\n51130 76603\n5240 7910\n53428 80026\n18574 27883\n27318 40955\n96361 100000\n26686 40016\n95798 100000\n6045 9128\n70932 100000\n21907 32899\n12222 18395\n97955 100000\n93033 100000\n17228 25858\n87565 100000\n72905 100000\n65010 97518\n50038 74977\n43548 65196\n1020 1529\n67912 100000\n71494 100000\n47954 71806\n94058 100000\n94235 100000\n76823 100000\n32883 49266\n31748 47564\n24289 36448\n1577 2364\n66433 99636\n72989 100000\n61177 91721\n28817 43194\n10793 16251\n329 495\n74532 100000\n70133 100000\n53558 80220\n6036 9117\n38514 57660\n75231 100000\n84474 100000\n27604 41385\n52305 78346\n19359 29091\n50774 76073\n61848 92740\n49276 73820\n55469 83100\n47712 71433\n36815 55124\n96905 100000\n82292 100000\n97402 100000\n65664 98488\n14385 21648\n50853 76190\n26493 39736\n30844 46217\n30045 45018\n97325 100000\n28572 42841\n72015 100000\n88988 100000\n23088 34667\n16584 24900\n79335 100000\n40705 60943\n7394 11138\n17886 26853\n37045 55461\n60652 90940\n13575 20431\n50980 76379\n66416 99613\n66924 100000\n88725 100000\n75292 100000\n47016 70388\n24264 36411\n84137 100000\n14042 21134\n9343 14053\n32096 48079\n83836 100000\n51881 77711\n86440 100000\n1248 1869\n14318 21550\n55406 83006\n18535 27824\n40502 60640\n11971 18011\n97260 100000\n72582 100000\n25578 38370\n51422 77047\n94714 100000\n82178 100000\n86449 100000\n75281 100000\n15530 23345\n7006 10580\n57311 85887\n25366 38050\n25303 37952\n49951 74845\n26819 40207\n75166 100000\n60217 90278\n54758 82036\n82154 100000\n14499 21809\n59114 88602\n54375 81457\n38013 56904\n13848 20831\n29930 44843\n86409 100000\n78409 100000\n58056 87018\n28001 41976\n60228 90293\n2840 4297\n32318 48405\n53065 79488\n79116 100000\n45340 67875\n59156 88666\n18677 28036\n72769 100000\n78841 100000\n41773 62561\n29050 43546\n13685 20594\n92373 100000\n29364 44004\n78647 100000\n15813 23762\n71896 100000\n86735 100000\n36276 54316\n24495 36762\n85125 100000\n45692 68404\n62963 94432\n78035 100000\n64177 96258\n94938 100000\n80060 100000\n3542 5344\n5052 7626\n68779 100000\n24949 37424\n74759 100000\n36595 54803\n88115 100000\n97949 100000\n92804 100000\n84882 100000\n35121 52582\n38108 57048\n84608 100000\n1715 2575\n5104 7712\n52608 78801\n91553 100000\n28591 42868\n53523 80165\n94245 100000\n75620 100000\n38191 57173\n96200 100000\n70286 100000\n18204 27331\n75918 100000\n59708 89521\n71618 100000\n12103 18210\n37049 55467\n72069 100000\n84946 100000\n55430 83043\n79151 100000\n16722 25095\n90517 100000\n88602 100000\n16121 24210\n43609 65285\n14666 22059\n72925 100000\n70040 100000\n78970 100000\n69689 100000\n2901 4389\n31022 46475\n74935 100000\n78894 100000\n18039 27082\n50776 76076\n1986 2998\n91029 100000\n17300 25967\n90726 100000\n57041 85481\n33607 50352\n97195 100000\n75230 100000\n84077 100000\n10788 16243\n79160 100000\n31199 46744\n39882 59706\n46587 69760\n68311 100000\n38717 57944\n1452 2169\n74861 100000\n80093 100000\n39839 59638\n9762 14681\n30687 45994\n42620 63822\n47100 70514\n67572 100000\n88896 100000\n50181 75181\n30084 45072\n18452 27699\n75804 100000\n83362 100000\n25835 38765\n36433 54564\n13075 19680\n78602 100000\n94080 100000\n12307 18524\n92814 100000\n1971 2977\n27953 41902\n16712 25083\n97386 100000\n72919 100000\n61977 92948\n42996 64381\n4482 6760\n39193 58670\n94269 100000\n3499 5282\n11193 16867\n47398 70972\n4413 6658\n688 1030\n55143 82601\n62390 93562\n57971 86888\n21404 32145\n96235 100000\n15381 23129\n85882 100000\n25425 38143\n53462 80079\n67177 100000\n92251 100000\n8335 12546\n62282 93407\n37883 56704\n58054 87015\n21114 31716\n80928 100000\n79990 100000\n1904 2876\n57892 86768\n49631 74359\n72838 100000\n31247 46819\n63915 95868\n57106 85575\n97776 100000\n5378 8118\n36039 53953\n54798 82095\n49690 74448\n92907 100000\n43657 65358\n48657 72883\n59862 89751\n12472 18775\n74845 100000\n31081 46559\n29900 44800\n82738 100000\n55883 83727\n5184 7828\n47740 71477\n26045 39071\n97102 100000\n95859 100000\n82490 100000\n23626 35467\n71356 100000\n92195 100000\n80979 100000\n63001 94485\n88736 100000\n73469 100000\n15240 22916\n54746 82016\n93634 100000\n41943 62814\n78097 100000\n52961 79327\n9719 14613\n26087 39134\n1533 2293\n98603 100000\n27981 41943\n77619 100000\n39648 59335\n39331 58870\n89825 100000\n7163 10797\n88030 100000\n50800 76112\n87041 100000\n30923 46331\n38463 57584\n50540 75720\n5051 7625\n23243 34894\n67361 100000\n15257 22943\n13238 19927\n78936 100000\n19611 29466\n45935 68769\n5222 7883\n29905 44807\n42995 64380\n51005 76417\n87808 100000\n64842 97264\n91767 100000\n808 1211\n55 79\n72635 100000\n47519 71150\n12775 19232\n92632 100000\n12092 18194\n88033 100000\n34462 51625\n94358 100000\n56385 84487\n42040 62955\n67607 100000\n88044 100000\n71661 100000\n49164 73656\n21291 31972\n66243 99360\n62808 94199\n88860 100000\n26872 40287\n49708 74475\n54035 80951\n31 46\n63631 95430\n76390 100000\n64586 96873\n48675 72910\n34147 51163\n15117 22734\n97377 100000\n48257 72271\n70855 100000\n39676 59376\n84336 100000\n18108 27191\n22643 34002\n36844 55164\n1490 2229\n94354 100000\n49815 74640\n54840 82152\n77324 100000\n84155 100000\n92821 100000\n63234 94829\n644 960\n60728 91054\n14071 21181\n96690 100000\n58330 87428\n67033 100000\n67644 100000\n72858 100000\n50521 75688\n81369 100000\n2693 4080\n99170 100000\n14091 21216\n90399 100000\n72959 100000\n79010 100000\n84211 100000\n67848 100000\n89856 100000\n8261 12435\n25224 37840\n78542 100000\n68926 100000\n45650 68343\n90658 100000\n30492 45693\n97923 100000\n29853 44730\n54973 82344\n39589 59245\n75780 100000\n97933 100000\n9366 14088\n18198 27322\n69926 100000\n86205 100000\n70754 100000\n40910 61263\n44159 66098\n46762 70012\n48477 72608\n91608 100000\n97764 100000\n94051 100000\n86666 100000\n40499 60636\n42415 63523\n24306 36474\n87052 100000\n23663 35518\n71435 100000\n85623 100000\n93344 100000\n20127 30237\n27811 41694\n56526 84699\n55873 83710\n35385 52970\n90422 100000\n598 895\n37067 55494\n52563 78741\n9460 14226\n15198 22857\n68293 100000\n7559 11392\n58995 88420\n42919 64268\n59231 88781\n2110 3186\n61717 92540\n15348 23081\n9378 14106\n45910 68732\n20628 30990\n66652 99977\n97588 100000\n62723 94076\n65942 98915\n90660 100000\n23709 35591\n70075 100000\n47079 70481\n90494 100000\n52632 78837\n66673 100000\n97630 100000\n76440 100000\n53626 80322\n18627 27962\n42640 63850\n52587 78774\n50219 75238\n96415 100000\n50337 75418\n81543 100000\n65718 98572\n58203 87235\n59738 89567\n57622 86364\n69420 100000\n16738 25118\n68741 100000\n49486 74150\n83049 100000\n33842 50700\n79831 100000\n93284 100000\n19392 29146\n6837 10328\n85658 100000\n78069 100000\n65006 97512\n55722 83482\n60742 91075\n93777 100000\n88945 100000\n72263 100000\n61267 91857\n8648 13011\n86228 100000\n19001 28536\n66937 100000\n9536 14339\n45276 67784\n47554 71200\n85989 100000\n41678 62417\n73033 100000\n39281 58796\n27673 41489\n97219 100000\n81882 100000\n85479 100000\n81155 100000\n2998 4543\n66772 100000\n58162 87180\n45782 68536\n85721 100000\n85913 100000\n26583 39865\n55029 82427\n64709 97059\n18310 27491\n15188 22842\n21315 32005\n41199 61696\n38398 57492\n17146 25736\n80458 100000\n71471 100000\n51502 77171\n49783 74590\n82899 100000\n80645 100000\n87354 100000\n51176 76678\n53453 80065\n55256 82773\n3263 4932\n33093 49575\n26423 39639\n40352 60412\n54023 80930\n49734 74518\n26241 39372\n4999 7546\n39567 59215\n74163 100000\n89398 100000\n78271 100000\n72331 100000\n30049 45023\n79800 100000\n69143 100000\n75126 100000\n91077 100000\n88239 100000\n30408 45569\n23721 35610\n72170 100000\n98622 100000\n99091 100000\n42616 63816\n5023 7581\n23941 35927\n67287 100000\n758 1133\n27563 41327\n30667 45965\n71518 100000\n39058 58471\n77120 100000\n90985 100000\n43920 65738\n70768 100000\n59893 89800\n63528 95271\n94228 100000\n18307 27487\n35064 52504\n26918 40354\n73826 100000\n33948 50858\n3822 5758\n79791 100000\n99316 100000\n87731 100000\n15405 23165\n94806 100000\n83242 100000\n68001 100000\n26252 39386\n87143 100000\n41803 62611\n99156 100000\n97747 100000\n92625 100000\n46678 69890\n2982 4519\n70452 100000\n5865 8858\n19076 28649\n38024 56922\n44372 66426\n86968 100000\n88479 100000\n42774 64051\n93037 100000\n16304 24487\n2052 3098\n26377 39570\n93818 100000\n3392 5127\n77669 100000\n40646 60857\n80676 100000\n20060 30135\n63238 94835\n58674 87934\n38984 58357\n39293 58813\n61406 92066\n34148 51165\n95710 100000\n99244 100000\n51770 77555\n28689 43012\n65876 98814\n74766 100000\n65509 98265\n68689 100000\n48521 72672\n87361 100000\n22451 33724\n29858 44738\n92873 100000\n48236 72239\n69034 100000\n86857 100000\n14679 22080\n57521 86208\n65729 98590\n11847 17836\n74834 100000\n3196 4838\n45130 67564\n14315 21545\n96538 100000\n22756 34174\n42694 63933\n55630 83345\n8638 12996\n8238 12398\n7927 11940\n58454 87610\n73795 100000\n42386 63481\n94854 100000\n55473 83105\n8546 12855\n91788 100000\n48488 72622\n38625 57814\n15403 23162\n93564 100000\n63120 94662\n53959 80833\n52733 78985\n13295 20016\n69054 100000\n95125 100000\n48740 73014\n42592 63780\n59768 89616\n58315 87407\n7007 10581\n2887 4366\n47865 71670\n87511 100000\n54702 81947\n84308 100000\n97405 100000\n94509 100000\n4404 6645\n27206 40787\n45657 68354\n63470 95179\n51042 76472\n99991 100000\n50513 75677\n52117 78057\n86102 100000\n39983 59854\n90513 100000\n75267 100000\n50029 74962\n47064 70463\n76687 100000\n17113 25682\n94845 100000\n45673 68377\n47598 71269\n20940 31460\n16162 24273\n33917 50811\n3709 5586\n74174 100000\n83089 100000\n45921 68749\n65424 98142\n69467 100000\n82767 100000\n291 434\n83427 100000\n48694 72941\n77468 100000\n41852 62691\n7459 11239\n88153 100000\n30242 45316\n78641 100000\n12079 18175\n49508 74186\n34734 52015\n89248 100000\n19210 28864\n7164 10799\n71140 100000\n28610 42897\n50158 75147\n58309 87398\n51972 77846\n27351 41009\n52936 79294\n37623 56320\n42271 63306\n23823 35753\n97175 100000\n54066 81000\n97365 100000\n15197 22855\n3756 5657\n43807 65575\n13 19\n90849 100000\n85654 100000\n74425 100000\n42203 63204\n22566 33892\n77122 100000\n99366 100000\n34108 51105\n93062 100000\n13528 20355\n32175 48194\n87639 100000\n60306 90412\n67183 100000\n78520 100000\n35574 53266\n71805 100000\n21443 32205\n81586 100000\n50192 75197\n91324 100000\n75725 100000\n55580 83270\n49933 74816\n96678 100000\n14676 22075\n31884 47766\n98783 100000\n77881 100000\n80646 100000\n81642 100000\n58595 87814\n11085 16697\n1916 2897\n38491 57628\n88641 100000\n52926 79279\n11916 17933\n52384 78461\n43886 65693\n35694 53436\n2164 3271\n24355 36554\n81493 100000\n50936 76316\n25242 37865\n78087 100000\n84409 100000\n27200 40776\n88713 100000\n60703 91014\n15614 23464\n45065 67469\n84056 100000\n20615 30970\n52586 78772\n43285 64815\n63106 94639\n94506 100000\n65223 97848\n63919 95874\n72697 100000\n68399 100000\n41872 62717\n89888 100000\n84398 100000\n61882 92791\n15955 23965\n90167 100000\n99084 100000\n20142 30257\n62182 93251\n70516 100000\n27569 41336\n34177 51209\n81212 100000\n35379 52962\n47674 71381\n40615 60812\n48123 72060\n70416 100000\n20669 31054\n77871 100000\n33262 49834\n32678 48945\n40654 60870\n13222 19904\n2598 3937\n9945 14959\n45690 68401\n73503 100000\n54335 81397\n61512 92230\n79280 100000\n3037 4606\n31173 46701\n35822 53621\n71927 100000\n64369 96548\n82238 100000\n45025 67407\n82785 100000\n9910 14911\n9626 14472\n34323 51423\n16191 24319\n2285 3457\n37362 55932\n72777 100000\n28720 43053\n48411 72509\n17472 26232\n30376 45516\n40734 60984\n91362 100000\n62645 93953\n10713 16127\n27836 41733\n5145 7770\n46069 68964\n44587 66742\n41596 62291\n2256 3414\n1598 2393\n4234 6394\n20290 30481\n89309 100000\n91428 100000\n30369 45503\n47736 71471\n89744 100000\n61078 91570\n97620 100000\n65922 98886\n67945 100000\n91423 100000\n81082 100000\n36956 55326\n3400 5138\n61449 92130\n66274 99405\n73968 100000\n12443 18730\n56647 84891\n9103 13680\n48195 72173\n86119 100000\n65608 98410\n13803 20760\n86753 100000\n20885 31378\n6329 9548\n34800 52116\n22584 33918\n17533 26326\n62742 94105\n17157 25754\n97538 100000\n99011 100000\n71224 100000\n65121 97690\n78650 100000\n86504 100000\n94656 100000\n79887 100000\n88983 100000\n49335 73911\n78191 100000\n45173 67629\n47004 70370\n73649 100000\n58649 87896\n53284 79811\n70849 100000\n6489 9792\n52418 78514\n53961 80837\n61497 92207\n49693 74453\n23520 35310\n24117 36190\n69224 100000\n94832 100000\n191 282\n35094 52547\n32840 49197\n13208 19880\n37357 55924\n31343 46959\n46511 69641\n26080 39125\n28502 42731\n47485 71098\n23487 35258\n70028 100000\n3109 4705\n27500 41233\n82968 100000\n84709 100000\n50423 75537\n2255 3412\n77127 100000\n29784 44625\n80642 100000\n86560 100000\n83597 100000\n70116 100000\n88786 100000\n98109 100000\n18901 28386\n67846 100000\n56562 84756\n50299 75357\n98199 100000\n75809 100000\n35115 52573\n17726 26618\n89437 100000\n93855 100000\n38187 57166\n49796 74609\n90504 100000\n69854 100000\n88754 100000\n73417 100000\n26068 39105\n18645 27988\n3821 5757\n94768 100000\n32468 48624\n30372 45508\n98647 100000\n27057 40563\n13015 19594\n84924 100000\n548 820\n86526 100000\n20046 30114\n27829 41723\n41896 62747\n8122 12224\n29681 44467\n81588 100000\n69898 100000\n35696 53439\n65915 98876\n64208 96310\n3130 4737\n21847 32812\n42607 63802\n16526 24818\n97148 100000\n41154 61625\n61750 92590\n18286 27454\n76381 100000\n49461 74111\n67593 100000\n10955 16494\n42784 64067\n35383 52967\n33352 49965\n11257 16964\n34725 52003\n87088 100000\n79594 100000\n34093 51083\n77300 100000\n48673 72906\n74702 100000\n93649 100000\n95507 100000\n60382 90530\n75322 100000\n55945 83819\n45567 68219\n35481 53117\n72622 100000\n89 133\n22575 33903\n82775 100000\n74045 100000\n99810 100000\n77317 100000\n87964 100000\n97849 100000\n21670 32547\n68626 100000\n11939 17964\n14727 22155\n18499 27770\n47249 70750\n1863 2810\n50793 76103\n51818 77625\n13312 20039\n34250 51316\n72474 100000\n2298 3475\n57720 86515\n76208 100000\n94118 100000\n83831 100000\n81164 100000\n72412 100000\n18980 28507\n10126 15238\n86733 100000\n1427 2132\n10224 15382\n90014 100000\n41701 62453\n73991 100000\n42536 63702\n99666 100000\n47414 70994\n2214 3349\n46942 70268\n44047 65927\n77351 100000\n3803 5730\n27167 40725\n78575 100000\n80106 100000\n12668 19070\n71274 100000\n54721 81975\n23273 34938\n53989 80878\n13251 19950\n23607 35438\n76293 100000\n21967 32992\n15290 22990\n76540 100000\n59979 89925\n76174 100000\n22831 34285\n41934 62800\n17334 26022\n92158 100000\n91345 100000\n53627 80323\n61621 92395\n9005 13541\n42400 63501\n38921 58257\n37629 56328\n52676 78898\n61591 92353\n34756 52049\n18796 28217\n57667 86429\n72857 100000\n30093 45083\n75748 100000\n63092 94617\n23464 35224\n6632 10008\n80640 100000\n12158 18293\n71458 100000\n87303 100000\n28104 42144\n5674 8555\n8254 12423\n91842 100000\n15599 23444\n28614 42903\n67668 100000\n30679 45983\n25906 38871\n75395 100000\n58492 87665\n30577 45824\n19956 29983\n18137 27232\n12790 19255\n55488 83130\n12113 18227\n54618 81820\n48791 73095\n18385 27600\n77935 100000\n46976 70325\n57760 86572\n87260 100000\n81756 100000\n63881 95820\n11191 16863\n91121 100000\n34305 51398\n45402 67967\n38344 57406\n78676 100000\n20372 30607\n86160 100000\n43750 65497\n96376 100000\n50421 75535\n65948 98925\n51628 77345\n85045 100000\n12890 19402\n30697 46007\n39342 58888\n64569 96848\n85492 100000\n20320 30527\n14675 22074\n50842 76173\n83886 100000\n57422 86054\n88420 100000\n115 166\n46576 69743\n38411 57508\n88316 100000\n94116 100000\n19766 29687\n57964 86878\n17946 26942\n78616 100000\n28387 42562\n2728 4132\n49085 73532\n1967 2971\n30824 46188\n50899 76256\n26735 40084\n69521 100000\n60345 90470\n74611 100000\n99165 100000\n40689 60921\n88530 100000\n71152 100000\n18907 28393\n97822 100000\n25718 38584\n35947 53812\n34554 51754\n36391 54493\n57408 86030\n18966 28485\n41452 62074\n71829 100000\n46049 68935\n16217 24356\n51202 76717\n57498 86169\n68737 100000\n36797 55099\n74014 100000\n43160 64625\n72584 100000\n60904 91304\n55275 82800\n58914 88301\n79379 100000\n22450 33723\n92197 100000\n67724 100000\n90982 100000\n97278 100000\n57706 86492\n85204 100000\n53925 80780\n75134 100000\n1437 2148\n24103 36169\n76025 100000\n91932 100000\n77615 100000\n25583 38380\n19614 29471\n94223 100000\n81659 100000\n92114 100000\n84859 100000\n10681 16078\n83642 100000\n88985 100000\n69152 100000\n66643 99965\n67086 100000\n61482 92187\n98106 100000\n29742 44562\n52996 79378\n89919 100000\n90352 100000\n69915 100000\n52337 78394\n86985 100000\n11715 17642\n62479 93705\n11699 17618\n5545 8367\n20446 30726\n7861 11836\n90596 100000\n89960 100000\n55373 82951\n32832 49187\n49974 74880\n46787 70047\n67156 100000\n92491 100000\n33227 49776\n62229 93323\n51547 77234\n25516 38277\n49501 74176\n31408 47054\n44488 66599\n86356 100000\n30091 45080\n97160 100000\n78344 100000\n1660 2488\n77844 100000\n25482 38228\n88763 100000\n66884 100000\n66144 99214\n89396 100000\n72721 100000\n54512 81665\n75255 100000\n71269 100000\n68280 100000\n73512 100000\n16605 24927\n46886 70189\n62760 94129\n62161 93221\n65310 97978\n77931 100000\n94008 100000\n87610 100000\n76250 100000\n97572 100000\n33403 50043\n42261 63290\n83969 100000\n66095 99141\n61238 91814\n20439 30715\n88423 100000\n2302 3482\n55501 83149\n23202 34835\n42108 63058\n2725 4128\n86375 100000\n61707 92524\n56161 84150\n31849 47711\n14268 21471\n15541 23360\n59202 88736\n95465 100000\n17977 26989\n95199 100000\n4927 7442\n28219 42314\n1771 2666\n23044 34604\n62781 94160\n16649 24985\n74669 100000\n60135 90152\n89273 100000\n24013 36035\n17316 25992\n69849 100000\n11434 17225\n23676 35539\n61190 91740\n17921 26904\n29735 44552\n17807 26733\n91731 100000\n26001 39002\n83110 100000\n44576 66728\n33483 50163\n45750 68490\n5121 7735\n23908 35875\n49410 74037\n94004 100000\n51896 77736\n40648 60861\n95070 100000\n66030 99039\n83754 100000\n45082 67494\n10180 15317\n30137 45155\n84770 100000\n52888 79220\n40338 60389\n15824 23776\n59104 88585\n86993 100000\n48317 72361\n75768 100000\n54922 82273\n96106 100000\n3449 5209\n51836 77653\n36399 54506\n72297 100000\n35232 52744\n4841 7310\n85958 100000\n3731 5617\n14736 22167\n71188 100000\n97464 100000\n78849 100000\n51210 76728\n19507 29311\n20889 31384\n88669 100000\n88218 100000\n66612 99917\n11894 17902\n25641 38464\n12065 18155\n85145 100000\n58576 87789\n2208 3340\n98024 100000\n5357 8086\n56718 84996\n44014 65878\n72460 100000\n83001 100000\n27749 41599\n74090 100000\n97892 100000\n76874 100000\n15635 23495\n88900 100000\n48939 73313\n91875 100000\n62928 94380\n35206 52701\n9530 14330\n4995 7541\n80623 100000\n8544 12851\n64370 96550\n11849 17839\n77756 100000\n83672 100000\n93376 100000\n85015 100000\n78141 100000\n89127 100000\n95119 100000\n94712 100000\n1626 2437\n68327 100000\n26908 40342\n24021 36047\n87337 100000\n41276 61813\n84345 100000\n4406 6648\n8756 13173\n3917 5900\n67770 100000\n22358 33584\n94103 100000\n48167 72128\n53759 80531\n84207 100000\n41956 62832\n52900 79241\n72144 100000\n62919 94364\n51697 77447\n44497 66611\n31911 47809\n76283 100000\n963 1443\n94539 100000\n40251 60260\n16596 24916\n28377 42546\n16585 24901\n82350 100000\n38811 58090\n70027 100000\n74268 100000\n57158 85651\n58321 87415\n83557 100000\n9395 14131\n11175 16840\n77539 100000\n45619 68297\n92259 100000\n56641 84882\n91550 100000\n10637 16008\n34812 52134\n28004 41981\n31281 46866\n7859 11832\n70515 100000\n7614 11470\n92600 100000\n30286 45385\n29797 44645\n9429 14178\n82303 100000\n989 1483\n31694 47486\n81128 100000\n8734 13140\n6201 9359\n16982 25492\n93843 100000\n160 233\n98874 100000\n78845 100000\n73312 100000\n38636 57827\n62884 94315\n34986 52387\n12072 18166\n5397 8147\n92420 100000\n5802 8760\n23196 34827\n98634 100000\n43801 65567\n1960 2959\n31820 47671\n65563 98344\n92124 100000\n57188 85695\n38314 57357\n22536 33849\n35200 52692\n9063 13618\n16274 24443\n74284 100000\n10835 16318\n1621 2428\n75172 100000\n33357 49972\n19018 28565\n56357 84442\n64676 97007\n98343 100000\n14049 21144\n19414 29176\n11169 16831\n57960 86872\n9422 14166\n96081 100000\n28418 42607\n66067 99096\n13250 19948\n65388 98087\n89933 100000\n74693 100000\n99690 100000\n15376 23122\n37646 56350\n5278 7967\n39929 59776\n9584 14411\n71321 100000\n17935 26926\n43111 64553\n82102 100000\n79457 100000\n77734 100000\n42436 63552\n69433 100000\n12844 19333\n11591 17456\n22138 33252\n68541 100000\n60633 90910\n93495 100000\n27271 40881\n32235 48283\n15439 23210\n90451 100000\n61183 91731\n88604 100000\n70439 100000\n88063 100000\n186 274\n30970 46402\n25339 38011\n59263 88832\n68744 100000\n43878 65681\n67575 100000\n83799 100000\n41158 61632\n82373 100000\n91083 100000\n47399 70974\n15284 22981\n54685 81924\n75849 100000\n68839 100000\n32368 48479\n93174 100000\n25841 38775\n37389 55969\n7505 11307\n12930 19464\n50946 76331\n5127 7744\n9023 13566\n38020 56915\n83067 100000\n52835 79142\n31490 47173\n33018 49461\n2912 4409\n71316 100000\n20681 31071\n8612 12959\n31628 47383\n94289 100000\n14937 22474\n48945 73320\n87100 100000\n87513 100000\n79809 100000\n94749 100000\n69596 100000\n8725 13126\n41254 61781\n82440 100000\n87655 100000\n52619 78818\n58147 87157\n12543 18886\n14068 21176\n20883 31376\n40799 61084\n99509 100000\n19382 29129\n21818 32769\n64982 97478\n33527 50230\n33362 49980\n46377 69434\n68658 100000\n43334 64887\n71981 100000\n92779 100000\n77923 100000\n71915 100000\n49716 74490\n81534 100000\n44689 66909\n60716 91035\n33782 50608\n85659 100000\n68837 100000\n83634 100000\n73140 100000\n61933 92871\n11065 16668\n99355 100000\n98228 100000\n67695 100000\n69160 100000\n69662 100000\n68169 100000\n26329 39498\n57399 86016\n62396 93570\n98459 100000\n72230 100000\n76964 100000\n35418 53021\n7530 11350\n49122 73592\n40065 59986\n80191 100000\n83245 100000\n84937 100000\n62375 93539\n4606 6956\n12013 18075\n85081 100000\n6202 9360\n2220 3358\n36177 54164\n6893 10412\n75857 100000\n98135 100000\n74350 100000\n81506 100000\n6801 10273\n83625 100000\n58899 88279\n51576 77274\n85713 100000\n67689 100000\n29154 43696\n896 1331\n83424 100000\n87669 100000\n30190 45232\n61993 92969\n78427 100000\n86060 100000\n60241 90311\n14825 22302\n94433 100000\n77463 100000\n57213 85731\n67112 100000\n72082 100000\n89496 100000\n74155 100000\n36318 54380\n56241 84271\n35269 52801\n39420 59005\n79517 100000\n81539 100000\n8827 13279\n61917 92845\n19056 28621\n19859 29835\n24958 37438\n3963 5970\n90795 100000\n869 1293\n55946 83821\n10057 15130\n24178 36284\n94233 100000\n86186 100000\n50537 75715\n10786 16239\n42106 63054\n86080 100000\n49638 74371\n23016 34560\n68638 100000\n17459 26213\n10461 15740\n34334 51436\n5118 7732\n95404 100000\n73110 100000\n96335 100000\n61224 91791\n88078 100000\n47761 71507\n72379 100000\n9524 14322\n80911 100000\n59429 89099\n91019 100000\n76624 100000\n64766 97142\n49060 73493\n12482 18791\n16626 24954\n83643 100000\n20047 30116\n57923 86818\n3218 4868\n68620 100000\n67476 100000\n36097 54039\n71700 100000\n82689 100000\n91334 100000\n16180 24303\n37917 56757\n93528 100000\n50056 75002\n75948 100000\n76387 100000\n81661 100000\n10408 15664\n12338 18569\n34683 51937\n30495 45698\n96912 100000\n13498 20310\n28578 42849\n55382 82965\n21788 32720\n48595 72788\n79073 100000\n14500 21810\n2462 3732\n11107 16731\n8403 12644\n6919 10450\n83991 100000\n66405 99597\n79047 100000\n92362 100000\n37855 56663\n37160 55635\n99020 100000\n25683 38530\n84122 100000\n39227 58718\n8846 13307\n44222 66197\n7464 11246\n44654 66852\n86047 100000\n41884 62733\n87338 100000\n95786 100000\n21782 32713\n56530 84707\n78391 100000\n76245 100000\n43742 65487\n52331 78387\n10351 15577\n9144 13749\n82388 100000\n15826 23779\n60766 91109\n28892 43311\n90839 100000\n12244 18430\n51348 76938\n49680 74435\n89275 100000\n21518 32315\n88112 100000\n55208 82700\n14077 21192\n87454 100000\n98318 100000\n34038 50996\n40398 60481\n77911 100000\n80867 100000\n58285 87360\n28759 43109\n33983 50916\n25528 38293\n17229 25859\n74352 100000\n61508 92223\n87938 100000\n27764 41622\n33490 50176\n55184 82664\n1593 2386\n76934 100000\n28841 43232\n4744 7165\n59509 89217\n37814 56609\n20727 31145\n5701 8598\n16574 24887\n49670 74419\n85436 100000\n96010 100000\n67134 100000\n93181 100000\n92624 100000\n70817 100000\n96904 100000\n94476 100000\n2321 3512\n26834 40228\n2353 3564\n89800 100000\n85871 100000\n45798 68564\n23346 35045\n85968 100000\n10807 16273\n4699 7095\n15846 23806\n85082 100000\n81509 100000\n85714 100000\n60254 90332\n45954 68797\n24789 37188\n35773 53548\n3365 5085\n26842 40240\n85785 100000\n48466 72594\n70321 100000\n64788 97178\n43614 65294\n63423 95107\n81207 100000\n91840 100000\n38631 57822\n5420 8180\n72966 100000\n87668 100000\n3715 5594\n45102 67527\n31423 47073\n80423 100000\n5445 8217\n69813 100000\n49748 74539\n9400 14136\n33881 50758\n90246 100000\n66698 100000\n24435 36675\n31956 47873\n26838 40234\n11668 17573\n56245 84275\n23388 35108\n91152 100000\n4027 6072\n50399 75505\n5168 7805\n65575 98359\n44012 65875\n6020 9091\n67338 100000\n16678 25029\n79222 100000\n51898 77739\n53350 79910\n14337 21576\n55129 82581\n32128 48124\n64474 96702\n41926 62790\n30183 45222\n12399 18663\n39500 59115\n14255 21453\n27704 41533\n68920 100000\n93884 100000\n59496 89198\n52476 78608\n59778 89628\n4551 6868\n13658 20557\n15211 22874\n90480 100000\n33848 50708\n38309 57349\n25290 37935\n83629 100000\n67597 100000\n61436 92111\n4361 6580\n26631 39932\n54651 81870\n63424 95108\n68663 100000\n66892 100000\n17866 26824\n10820 16297\n65919 98881\n63930 95889\n66379 99561\n86674 100000\n46898 70206\n80419 100000\n511 761\n25023 37543\n10003 15048\n9051 13603\n73641 100000\n87145 100000\n55263 82783\n27668 41481\n84431 100000\n35141 52610\n38083 57011\n599 897\n64123 96176\n23759 35663\n31093 46577\n58353 87459\n63115 94654\n29293 43900\n6208 9368\n69094 100000\n50260 75300\n55122 82571\n33584 50312\n30050 45024\n28706 43032\n26845 40244\n70432 100000\n24552 36841\n22117 33221\n32383 48497\n72557 100000\n50252 75288\n10272 15460\n38383 57467\n52053 77964\n11520 17353\n27218 40804\n51939 77795\n7092 10693\n90192 100000\n87424 100000\n99758 100000\n76439 100000\n19660 29537\n52793 79077\n55164 82633\n22940 34447\n98042 100000\n64126 96180\n84679 100000\n46959 70296\n70131 100000\n80178 100000\n83152 100000\n20827 31291\n88337 100000\n18713 28090\n9551 14362\n62539 93795\n75014 100000\n23389 35109\n97549 100000\n95280 100000\n88333 100000\n86396 100000\n31791 47627\n27187 40756\n27190 40759\n61235 91808\n77685 100000\n19453 29231\n77591 100000\n78160 100000\n74417 100000\n3725 5609\n49409 74035\n36415 54531\n68314 100000\n26279 39427\n22900 34387\n17644 26496\n5253 7929\n23796 35716\n52744 79001\n41720 62480\n83956 100000\n12434 18716\n94507 100000\n16190 24318\n75801 100000\n43691 65404\n42423 63535\n4110 6202\n86202 100000\n47101 70515\n44972 67334\n63535 95285\n33355 49969\n18222 27358\n76074 100000\n71076 100000\n68647 100000\n99019 100000\n17542 26338\n29179 43728\n77037 100000\n78654 100000\n49166 73658\n70182 100000\n72025 100000\n73571 100000\n19469 29255\n92693 100000\n30742 46071\n27912 41842\n20683 31074\n20587 30932\n66904 100000\n78786 100000\n66545 99816\n66273 99404\n72542 100000\n39412 58995\n179 264\n20821 31282\n75897 100000\n89644 100000\n95449 100000\n85092 100000\n86676 100000\n55784 83575\n42305 63357\n11534 17373\n68296 100000\n12558 18907\n80558 100000\n73437 100000\n29400 44054\n68353 100000\n5471 8256\n37414 56008\n54012 80913\n38968 58329\n68489 100000\n65243 97877\n44109 66019\n97145 100000\n61239 91815\n18435 27673\n69425 100000\n23188 34814\n98884 100000\n72735 100000\n97010 100000\n99377 100000\n42719 63972\n20750 31178\n71282 100000\n53073 79498\n6858 10360\n86466 100000\n67713 100000\n14119 21253\n58520 87709\n20741 31165\n92720 100000\n78107 100000\n37921 56764\n80567 100000\n32953 49369\n56078 84025\n11444 17238\n4828 7291\n50571 75770\n49088 73538\n78929 100000\n37217 55719\n21697 32586\n85311 100000\n23135 34738\n76232 100000\n15401 23159\n77251 100000\n17156 25753\n91413 100000\n73291 100000\n12387 18645\n72560 100000\n97159 100000\n19671 29551\n77256 100000\n32053 48013\n30842 46215\n11964 18001\n81669 100000\n87699 100000\n13986 21045\n52578 78761\n6193 9348\n13061 19662\n32916 49317\n58552 87752\n6219 9383\n36100 54044\n39334 58874\n27949 41898\n43304 64845\n400 604\n38581 57750\n92710 100000\n27430 41130\n93555 100000\n46878 70173\n51470 77118\n37189 55678\n56982 85395\n28463 42674\n9286 13966\n73127 100000\n24156 36251\n25821 38744\n18270 27430\n3573 5390\n75599 100000\n10703 16112\n29268 43860\n24572 36872\n25649 38477\n44326 66355\n49149 73632\n30843 46216\n47949 71799\n88635 100000\n74180 100000\n89373 100000\n79449 100000\n25160 37741\n10562 15892\n43752 65500\n42597 63788\n8087 12177\n21561 32382\n17598 26420\n24462 36716\n72139 100000\n17014 25540\n74851 100000\n27918 41852\n42068 62999\n4837 7304\n22654 34019\n27296 40921\n64738 97100\n88767 100000\n1202 1800\n36124 54081\n87516 100000\n96177 100000\n68742 100000\n23943 35930\n63879 95817\n81458 100000\n35183 52667\n227 339\n13612 20486\n61757 92602\n13923 20945\n66247 99366\n49816 74641\n17330 26016\n2896 4380\n38996 58376\n13739 20671\n85356 100000\n88946 100000\n7711 11614\n87730 100000\n73259 100000\n57519 86205\n85707 100000\n64409 96609\n86042 100000\n78830 100000\n80934 100000\n60350 90477\n62918 94363\n14341 21581\n93604 100000\n59077 88543\n26818 40206\n3806 5735\n60634 90912\n68360 100000\n78262 100000\n52527 78688\n1815 2739\n58112 87100\n28178 42257\n68574 100000\n89995 100000\n68515 100000\n75742 100000\n63711 95554\n96775 100000\n70137 100000\n17755 26660\n68810 100000\n41270 61803\n67946 100000\n45542 68179\n47199 70669\n43791 65554\n65602 98400\n44682 66900\n77040 100000\n88008 100000\n948 1419\n20484 30781\n88409 100000\n13911 20929\n95407 100000\n62923 94372\n52898 79237\n42952 64315\n93551 100000\n16103 24182\n80561 100000\n64857 97286\n73851 100000\n47535 71174\n84797 100000\n16230 24375\n1503 2247\n98456 100000\n73104 100000\n59725 89549\n5480 8269\n79955 100000\n86861 100000\n83510 100000\n22095 33187\n53928 80786\n79663 100000\n73765 100000\n63334 94978\n72365 100000\n93405 100000\n51392 77001\n94759 100000\n39183 58657\n56814 85141\n21630 32489\n23608 35439\n58354 87461\n80256 100000\n38015 56907\n18908 28394\n88113 100000\n27263 40870\n82413 100000\n6712 10136\n76118 100000\n10581 15920\n77621 100000\n65136 97712\n10294 15490\n58979 88397\n66417 99614\n17117 25689\n47466 71069\n87105 100000\n1646 2468\n2292 3466\n5780 8721\n74206 100000\n51089 76543\n41516 62170\n90497 100000\n43176 64647\n71649 100000\n36603 54814\n97193 100000\n43818 65590\n57708 86495\n60482 90681\n77209 100000\n73620 100000\n63776 95655\n76989 100000\n3724 5607\n67029 100000\n61724 92550\n64108 96152\n72776 100000\n48808 73121\n60951 91370\n50154 75143\n60612 90875\n10812 16282\n45717 68439\n38676 57881\n80994 100000\n34421 51568\n14612 21977\n32865 49235\n42849 64163\n57200 85714\n3837 5782\n39485 59095\n78020 100000\n40029 59927\n52990 79370\n28322 42464\n12776 19233\n86933 100000\n45776 68528\n56896 85262\n23683 35552\n79520 100000\n76113 100000\n66198 99291\n51385 76992\n15511 23317\n62575 93846\n59450 89125\n76979 100000\n790 1184\n15619 23472\n88501 100000\n91959 100000\n61220 91785\n60290 90388\n89394 100000\n37260 55786\n97922 100000\n12791 19256\n27457 41170\n84862 100000\n25363 38046\n98890 100000\n90611 100000\n49437 74078\n35095 52548\n29148 43687\n98101 100000\n34852 52188\n88741 100000\n13411 20190\n98902 100000\n29671 44455\n71859 100000\n35758 53527\n88176 100000\n765 1143\n31348 46966\n296 441\n59590 89342\n96622 100000\n80100 100000\n50512 75675\n68692 100000\n56298 84352\n32454 48603\n80164 100000\n94187 100000\n97851 100000\n20279 30467\n26282 39432\n48457 72577\n42595 63784\n41460 62087\n73931 100000\n88996 100000\n58538 87731\n27745 41592\n97457 100000\n48743 73019\n71173 100000\n32780 49106\n68842 100000\n96252 100000\n33123 49617\n43727 65463\n45467 68069\n46908 70222\n23155 34766\n3692 5561\n25615 38427\n5504 8305\n51109 76576\n98410 100000\n86139 100000\n63926 95884\n19538 29354\n92247 100000\n27623 41414\n47172 70626\n24055 36096\n41291 61833\n2554 3872\n26898 40327\n71330 100000\n3185 4821\n2744 4157\n13292 20013\n93352 100000\n14635 22013\n2470 3744\n87395 100000\n89787 100000\n81797 100000\n21520 32317\n36046 53964\n86283 100000\n36172 54155\n93196 100000\n23581 35399\n21380 32109\n42319 63378\n84669 100000\n2850 4310\n43435 65033\n52662 78880\n61254 91840\n2627 3982\n76160 100000\n41886 62736\n161 234\n39603 59266\n43540 65185\n53038 79442\n1472 2200\n37649 56355\n71881 100000\n11314 17052\n60569 90809\n55023 82420\n86527 100000\n48164 72124\n99018 100000\n59510 89218\n85039 100000\n6636 10014\n35801 53587\n5720 8624\n21030 31586\n48349 72411\n47241 70736\n4455 6723\n87553 100000\n60825 91191\n591 885\n91970 100000\n30825 46190\n52039 77942\n98855 100000\n5503 8303\n80260 100000\n11135 16773\n66740 100000\n74238 100000\n75215 100000\n55412 83015\n66714 100000\n96945 100000\n71053 100000\n12477 18782\n77010 100000\n97076 100000\n27903 41828\n57727 86525\n96362 100000\n26994 40460\n56282 84328\n30997 46439\n47982 71851\n2176 3291\n71474 100000\n64956 97438\n43340 64895\n50852 76188\n47324 70861\n971 1455\n58680 87945\n61203 91760\n64442 96656\n86489 100000\n24785 37181\n25375 38061\n97749 100000\n3965 5972\n15046 22634\n15646 23512\n32413 48541\n44962 67318\n36507 54673\n6377 9620\n17258 25904\n3437 5189\n97152 100000\n89071 100000\n37994 56878\n61383 92028\n57572 86291\n67812 100000\n16801 25224\n76922 100000\n52498 78640\n65528 98292\n84535 100000\n39274 58786\n42938 64293\n27765 41624\n98780 100000\n79450 100000\n84796 100000\n37922 56765\n72621 100000\n90955 100000\n48776 73070\n89323 100000\n67408 100000\n95073 100000\n52928 79283\n48450 72566\n23567 35379\n3704 5578\n99675 100000\n10953 16492\n65672 98500\n70959 100000\n66112 99167\n99229 100000\n99893 100000\n67854 100000\n87322 100000\n74967 100000\n34505 51690\n14330 21566\n93251 100000\n93258 100000\n95613 100000\n49955 74852\n42752 64021\n9721 14616\n28711 43039\n34954 52338\n8988 13518\n63163 94722\n99037 100000\n2280 3449\n21111 31712\n22939 34446\n11232 16928\n79623 100000\n47734 71467\n70201 100000\n85245 100000\n83177 100000\n41973 62856\n43035 64435\n74615 100000\n84785 100000\n41120 61571\n84111 100000\n39732 59461\n52035 77936\n3884 5850\n86731 100000\n53362 79926\n33273 49851\n70891 100000\n15870 23841\n34827 52155\n98393 100000\n90529 100000\n24288 36447\n66556 99833\n73486 100000\n25029 37552\n5238 7907\n30850 46226\n22027 33077\n18725 28107\n78120 100000\n96934 100000\n37243 55763\n62621 93916\n70737 100000\n44708 66941\n36270 54306\n38255 57269\n11659 17558\n47894 71718\n42506 63659\n54587 81773\n62599 93881\n48509 72653\n73293 100000\n47829 71614\n26629 39930\n59346 88962\n85454 100000\n97132 100000\n99478 100000\n63194 94766\n70231 100000\n92874 100000\n38341 57402\n22820 34267\n98320 100000\n79184 100000\n54245 81263\n99700 100000\n17360 26063\n29658 44439\n6482 9781\n87771 100000\n36748 55028\n43519 65154\n74099 100000\n19713 29611\n20759 31194\n14216 21399\n92493 100000\n56772 85077\n93665 100000\n39585 59240\n30572 45816\n19574 29408\n37300 55847\n60433 90605\n93406 100000\n99591 100000\n27065 40574\n74294 100000\n78568 100000\n33528 50231\n28105 42145\n34204 51249\n93397 100000\n54722 81976\n83138 100000\n82984 100000\n9190 13821\n66879 100000\n21324 32018\n24637 36974\n26334 39507\n35219 52721\n66833 100000\n15764 23690\n72444 100000\n6347 9574\n40508 60647\n28169 42244\n60618 90886\n20914 31421\n20405 30662\n9495 14278\n84264 100000\n9087 13654\n38859 58169\n51974 77849\n8535 12839\n79922 100000\n67122 100000\n78513 100000\n73346 100000\n31693 47484\n17436 26179\n92199 100000\n5598 8441\n62521 93766\n60436 90610\n39494 59106\n47991 71866\n92823 100000\n57517 86201\n70398 100000\n94960 100000\n27404 41088\n15470 23255\n96091 100000\n34466 51630\n63927 95885\n30610 45875\n52681 78907\n65826 98737\n47272 70783\n27541 41292\n40604 60795\n7967 12002\n27915 41846\n82536 100000\n57600 86333\n31350 46968\n48392 72477\n96806 100000\n46937 70261\n13115 19738\n66235 99349\n17041 25580\n82826 100000\n84081 100000\n7078 10673\n49893 74761\n70823 100000\n62752 94119\n24587 36898\n37463 56084\n97351 100000\n94911 100000\n883 1312\n99811 100000\n64355 96532\n22726 34126\n79304 100000\n97223 100000\n46754 70000\n34653 51896\n77918 100000\n4512 6807\n8253 12422\n88963 100000\n78165 100000\n60862 91241\n64972 97464\n24898 37353\n29556 44290\n12177 18322\n63023 94517\n53628 80324\n86103 100000\n66284 99423\n45493 68110\n54455 81577\n25278 37919\n80205 100000\n32402 48524\n25678 38523\n51825 77636\n29021 43498\n87022 100000\n22464 33743\n96602 100000\n21239 31898\n36186 54179\n97333 100000\n65459 98194\n52842 79152\n46918 70236\n71630 100000\n68739 100000\n70846 100000\n70892 100000\n71711 100000\n31857 47726\n12911 19436\n20675 31063\n58545 87743\n73124 100000\n35458 53082\n88657 100000\n88821 100000\n3228 4883\n2691 4077\n32730 49027\n25229 37847\n93399 100000\n7155 10787\n47631 71316\n83302 100000\n40872 61198\n10502 15799\n37731 56480\n55491 83135\n47487 71101\n86507 100000\n8876 13352\n72367 100000\n87996 100000\n7418 11175\n49956 74853\n46428 69507\n17971 26980\n4101 6189\n70185 100000\n20601 30951\n946 1415\n97384 100000\n39430 59020\n92931 100000\n2328 3522\n75808 100000\n97788 100000\n30463 45652\n74832 100000\n4947 7473\n77655 100000\n32369 48480\n16601 24922\n36974 55356\n33546 50257\n29552 44282\n69653 100000\n53333 79882\n1555 2329\n30229 45294\n73324 100000\n74550 100000\n62748 94113\n6001 9067\n77961 100000\n62312 93451\n13161 19810\n24486 36749\n7150 10778\n42204 63205\n46914 70230\n78519 100000\n76556 100000\n50554 75743\n14511 21828\n61539 92273\n19508 29313\n74172 100000\n29580 44329\n88342 100000\n63555 95313\n12817 19291\n31968 47893\n66606 99908\n27452 41160\n42457 63583\n49792 74604\n82244 100000\n93984 100000\n64998 97502\n26890 40314\n85118 100000\n47565 71217\n39086 58509\n77033 100000\n83620 100000\n40886 61223\n43048 64457\n60548 90780\n88152 100000\n81921 100000\n78980 100000\n3118 4720\n33020 49465\n20347 30569\n3971 5983\n53750 80513\n66687 100000\n79525 100000\n79239 100000\n94063 100000\n18433 27670\n30839 46211\n3861 5819\n82817 100000\n35059 52496\n20184 30324\n94747 100000\n47553 71198\n17530 26321\n8710 13100\n82575 100000\n5541 8361\n37570 56242\n12502 18820\n43876 65678\n76321 100000\n66906 100000\n41229 61742\n97673 100000\n13675 20580\n60531 90755\n39190 58666\n77390 100000\n74357 100000\n73614 100000\n86638 100000\n38817 58100\n32261 48322\n11363 17119\n55498 83146\n3389 5122\n13239 19929\n40719 60965\n80927 100000\n74556 100000\n64280 96417\n16088 24160\n43165 64632\n44721 66960\n8148 12259\n58870 88235\n25754 38637\n11770 17726\n84026 100000\n13705 20624\n61421 92089\n86271 100000\n15165 22811\n93644 100000\n54110 81067\n68299 100000\n88437 100000\n92232 100000\n45814 68589\n5202 7853\n90555 100000\n66280 99416\n66954 100000\n99382 100000\n36628 54850\n35566 53253\n96972 100000\n96260 100000\n93081 100000\n52362 78429\n24999 37503\n37423 56020\n7748 11672\n98586 100000\n42477 63615\n81469 100000\n34755 52048\n39149 58602\n73509 100000\n92106 100000\n93925 100000\n95200 100000\n12981 19542\n93721 100000\n7881 11867\n53635 80336\n31997 47937\n94865 100000\n68752 100000\n35744 53506\n63791 95679\n13473 20275\n60248 90323\n42892 64224\n63469 95178\n93115 100000\n17940 26934\n84393 100000\n75384 100000\n51080 76529\n44425 66504\n10216 15368\n80134 100000\n98595 100000\n18971 28494\n54675 81909\n54022 80928\n41033 61442\n38571 57734\n22985 34512\n83958 100000\n28584 42858\n67008 100000\n57132 85614\n33727 50526\n23347 35046\n78143 100000\n62224 93315\n89779 100000\n533 796\n84167 100000\n37170 55650\n30493 45695\n56446 84578\n71120 100000\n90654 100000\n38104 57040\n8679 13057\n60274 90363\n51745 77516\n42237 63255\n33705 50497\n54382 81465\n22997 34532\n63178 94745\n27466 41185\n66344 99515\n43914 65732\n23718 35605\n35457 53081\n15868 23838\n92005 100000\n21128 31737\n57092 85555\n94657 100000\n19211 28865\n65553 98329\n91590 100000\n38971 58335\n62468 93691\n52432 78536\n44794 67070\n64530 96792\n33816 50658\n64159 96232\n58169 87189\n61059 91540\n67843 100000\n48410 72508\n86201 100000\n28298 42429\n29953 44872\n23900 35863\n9421 14165\n12391 18651\n72493 100000\n14822 22297\n53319 79862\n87871 100000\n21725 32625\n34947 52330\n63785 95670\n38347 57411\n64365 96543\n69681 100000\n84952 100000\n70777 100000\n57024 85458\n71476 100000\n18851 28306\n75575 100000\n79819 100000\n83659 100000\n10121 15231\n67633 100000\n71083 100000\n30459 45646\n53970 80849\n29890 44785\n64038 96045\n190 280\n65283 97939\n30424 45596\n33601 50341\n41526 62185\n62090 93113\n21805 32746\n28132 42187\n19217 28875\n12676 19081\n97210 100000\n13917 20936\n33136 49635\n23681 35548\n2493 3778\n14186 21355\n67653 100000\n29539 44259\n58601 87824\n15664 23538\n50050 74993\n45877 68686\n80337 100000\n38735 57970\n90531 100000\n68579 100000\n89068 100000\n22035 33090\n47526 71160\n7116 10725\n45884 68695\n37089 55531\n82018 100000\n2011 3033\n80705 100000\n23450 35201\n71202 100000\n85441 100000\n46239 69229\n68989 100000\n54979 82353\n31271 46853\n2182 3299\n77924 100000\n38665 57867\n81090 100000\n242 363\n96006 100000\n49147 73630\n25019 37537\n24680 37036\n52951 79314\n10548 15872\n51878 77708\n42491 63638\n79016 100000\n23126 34725\n66960 100000\n97244 100000\n44736 66984\n51058 76496\n19951 29975\n92463 100000\n24786 37182\n36573 54769\n84487 100000\n57262 85808\n633 947\n99648 100000\n37053 55473\n21077 31659\n63051 94557\n93455 100000\n94855 100000\n52874 79200\n28047 42051\n89666 100000\n57457 86104\n27696 41520\n17026 25559\n95381 100000\n64124 96178\n13637 20525\n51028 76452\n58078 87052\n60756 91097\n48038 71935\n78221 100000\n83114 100000\n26033 39054\n28992 43456\n54625 81831\n7410 11161\n74969 100000\n18357 27560\n81482 100000\n54033 80947\n59385 89027\n62146 93197\n33892 50773\n57254 85796\n91838 100000\n98824 100000\n1850 2792\n99176 100000\n64406 96605\n6518 9839\n61666 92461\n22837 34296\n21170 31798\n9597 14426\n66257 99380\n96142 100000\n41556 62232\n87223 100000\n95874 100000\n59122 88615\n64678 97010\n63869 95800\n41746 62516\n7722 11631\n43736 65478\n79069 100000\n78413 100000\n4063 6131\n7439 11207\n18380 27593\n26005 39009\n27458 41172\n41741 62509\n68491 100000\n86623 100000\n86421 100000\n74820 100000\n50224 75247\n125 180\n79521 100000\n33674 50457\n66041 99055\n20578 30917\n86566 100000\n50244 75278\n10447 15720\n54398 81488\n85854 100000\n48313 72356\n71339 100000\n50838 76167\n75993 100000\n14789 22249\n30929 46341\n95588 100000\n57482 86143\n24826 37240\n92903 100000\n8840 13297\n64251 96377\n61148 91676\n85261 100000\n44542 66677\n88905 100000\n54267 81297\n87796 100000\n43618 65301\n49353 73941\n88507 100000\n32344 48443\n50628 75852\n76139 100000\n51733 77498\n84834 100000\n34957 52343\n36121 54076\n69612 100000\n3755 5655\n87738 100000\n72692 100000\n41598 62295\n64311 96465\n54743 82010\n82427 100000\n87887 100000\n61533 92264\n32732 49030\n23099 34683\n52601 78793\n48153 72107\n70365 100000\n84815 100000\n10380 15622\n31712 47512\n89382 100000\n85771 100000\n74356 100000\n41059 61480\n48130 72071\n57948 86855\n16978 25486\n16199 24329\n20381 30623\n14593 21947\n16416 24648\n53191 79667\n13345 20089\n74271 100000\n26621 39918\n85010 100000\n35050 52481\n89297 100000\n45210 67684\n12123 18240\n47075 70477\n46002 68869\n91319 100000\n47968 71827\n80123 100000\n96143 100000\n13241 19933\n52579 78762\n80183 100000\n39258 58764\n78677 100000\n61506 92220\n35491 53132\n83349 100000\n61546 92284\n56552 84740\n6649 10033\n40903 61251\n5227 7889\n13431 20220\n46276 69288\n98785 100000\n98264 100000\n61889 92801\n27810 41693\n34701 51965\n15422 23188\n23217 34860\n61679 92483\n30800 46156\n33271 49847\n79021 100000\n65191 97800\n88549 100000\n34074 51051\n70511 100000\n53151 79610\n32353 48456\n13045 19635\n39324 58861\n15724 23629\n70991 100000\n94748 100000\n1027 1539\n46016 68885\n51803 77604\n16393 24616\n42520 63678\n4698 7093\n16014 24050\n9435 14188\n47985 71857\n37099 55545\n68654 100000\n44041 65917\n18324 27511\n58779 88101\n2817 4257\n52380 78456\n70354 100000\n84048 100000\n2275 3441\n97339 100000\n68196 100000\n67638 100000\n51384 76990\n5371 8108\n47912 71743\n44942 67291\n8666 13038\n54162 81141\n13756 20694\n83180 100000\n33911 50801\n1595 2389\n89763 100000\n58733 88027\n6289 9484\n42448 63570\n94829 100000\n49549 74240\n1305 1952\n89365 100000\n87009 100000\n56394 84498\n66537 99805\n32744 49049\n26826 40217\n9229 13885\n99794 100000\n55161 82628\n43183 64657\n57976 86898\n92733 100000\n63152 94708\n74916 100000\n94111 100000\n80252 100000\n44483 66590\n87687 100000\n67782 100000\n13119 19746\n71201 100000\n39683 59388\n77939 100000\n77566 100000\n67883 100000\n30480 45675\n45373 67925\n71449 100000\n63263 94874\n15037 22622\n36282 54327\n30834 46202\n85447 100000\n9213 13856\n80505 100000\n90200 100000\n71880 100000\n84053 100000\n63571 95336\n46489 69603\n30306 45416\n95006 100000\n53864 80686\n7236 10908\n47562 71213\n99067 100000\n16238 24389\n17181 25788\n25891 38849\n17980 26993\n70668 100000\n33424 50076\n38096 57030\n85168 100000\n40283 60305\n69318 100000\n64024 96023\n29248 43826\n28025 42017\n90121 100000\n16876 25335\n93020 100000\n87988 100000\n54545 81713\n89549 100000\n67318 100000\n44523 66648\n87729 100000\n61275 91870\n82724 100000\n70166 100000\n42445 63567\n78503 100000\n59909 89823\n45740 68475\n59024 88464\n35531 53195\n11669 17575\n74726 100000\n83084 100000\n22046 33110\n84562 100000\n1157 1734\n72616 100000\n69636 100000\n31656 47423\n8066 12146\n39351 58900\n21321 32013\n41548 62220\n10695 16100\n42906 64246\n72300 100000\n61198 91752\n67553 100000\n44487 66597\n91805 100000\n83994 100000\n73738 100000\n18672 28029\n67539 100000\n90897 100000\n76466 100000\n75174 100000\n59809 89671\n42858 64175\n79113 100000\n86677 100000\n5434 8200\n91169 100000\n55394 82985\n10405 15659\n10982 16536\n26656 39965\n71450 100000\n70789 100000\n68835 100000\n29959 44881\n5538 8357\n91012 100000\n97988 100000\n19843 29810\n83092 100000\n83795 100000\n13329 20061\n95658 100000\n22797 34232\n93821 100000\n30092 45082\n65926 98892\n1704 2559\n63700 95538\n81977 100000\n53954 80824\n16153 24257\n2354 3566\n76669 100000\n71206 100000\n26447 39672\n10437 15706\n97571 100000\n78048 100000\n75514 100000\n438 655\n80267 100000\n80851 100000\n26475 39713\n87091 100000\n85534 100000\n53231 79725\n91254 100000\n4270 6447\n51500 77168\n77006 100000\n90380 100000\n42798 64088\n30654 45943\n92795 100000\n14400 21667\n22101 33196\n29072 43577\n96391 100000\n57098 85563\n73963 100000\n77746 100000\n87706 100000\n22984 34511\n49965 74867\n133 192\n41801 62607\n80176 100000\n79572 100000\n20966 31498\n46473 69578\n14423 21701\n33938 50842\n23007 34547\n3882 5847\n1155 1731\n12317 18539\n54605 81799\n20120 30227\n52264 78278\n92884 100000\n95385 100000\n32753 49064\n89210 100000\n53780 80564\n52347 78409\n85244 100000\n16149 24250\n20663 31047\n20070 30150\n16763 25162\n22494 33787\n12837 19322\n9900 14894\n9999 15043\n76366 100000\n37350 55914\n76177 100000\n19045 28604\n59270 88842\n29557 44292\n34445 51601\n7472 11259\n95809 100000\n9166 13785\n68764 100000\n83371 100000\n3549 5355\n63264 94875\n96433 100000\n75444 100000\n1478 2211\n65380 98075\n76248 100000\n23311 34994\n32876 49254\n82048 100000\n23323 35010\n16125 24216\n1267 1896\n53000 79385\n28444 42645\n91412 100000\n91572 100000\n61897 92814\n94886 100000\n3618 5456\n86311 100000\n27078 40594\n17302 25969\n90208 100000\n71903 100000\n44433 66514\n21086 31673\n6157 9295\n38816 58099\n96125 100000\n56602 84821\n46623 69809\n33570 50291\n88122 100000\n14230 21417\n30020 44977\n71186 100000\n92523 100000\n63610 95398\n87811 100000\n13266 19971\n6530 9857\n77616 100000\n95854 100000\n55565 83246\n48184 72155\n93738 100000\n2628 3983\n98930 100000\n71573 100000\n77024 100000\n41111 61558\n9711 14603\n1304 1951\n24154 36247\n73866 100000\n52421 78518\n94587 100000\n46254 69251\n98641 100000\n90622 100000\n66295 99438\n42350 63424\n60252 90328\n59583 89331\n26406 39614\n32371 48482\n26350 39529\n6499 9807\n88426 100000\n68367 100000\n94973 100000\n60158 90188\n73315 100000\n51223 76748\n30479 45673\n44393 66457\n26257 39392\n29786 44628\n79364 100000\n13426 20211\n37406 55995\n86935 100000\n8478 12751\n90273 100000\n46185 69141\n35833 53639\n28829 43211\n90509 100000\n39029 58427\n4236 6397\n66965 100000\n97585 100000\n41570 62250\n371 562\n66878 100000\n73063 100000\n99267 100000\n41637 62354\n81373 100000\n64892 97342\n86089 100000\n56065 84004\n37610 56302\n72401 100000\n22255 33432\n51960 77828\n13366 20123\n79998 100000\n91309 100000\n3374 5098\n50565 75761\n45270 67773\n22528 33836\n94880 100000\n71300 100000\n39621 59294\n76364 100000\n5677 8560\n40102 60041\n6670 10067\n38008 56897\n56570 84769\n90434 100000\n53916 80765\n25453 38186\n49477 74135\n67290 100000\n5436 8204\n80301 100000\n29944 44862\n33904 50791\n18166 27273\n17166 25768\n75648 100000\n62128 93171\n16247 24403\n39343 58889\n86303 100000\n71535 100000\n50546 75729\n77659 100000\n56458 84595\n86922 100000\n41358 61930\n49267 73806\n85916 100000\n22167 33295\n34748 52036\n323 483\n86458 100000\n25073 37619\n22775 34201\n49530 74213\n36442 54576\n82478 100000\n65154 97745\n66430 99632\n75754 100000\n35905 53749\n30100 45095\n46090 69000\n9622 14466\n59977 89922\n92318 100000\n43720 65452\n1765 2655\n92650 100000\n48401 72494\n57057 85506\n97705 100000\n58207 87242\n53457 80071\n30769 46106\n22509 33810\n46421 69497\n77709 100000\n8894 13378\n94557 100000\n77156 100000\n69748 100000\n74129 100000\n42253 63278\n55011 82401\n37648 56354\n82577 100000\n2467 3739\n49174 73671\n38473 57597\n29253 43834\n70720 100000\n32618 48857\n96530 100000\n23015 34559\n78486 100000\n34861 52200\n99765 100000\n20055 30128\n64200 96297\n54528 81689\n59069 88532\n64856 97285\n63796 95686\n56875 85234\n93856 100000\n19048 28608\n16241 24393\n98755 100000\n49614 74336\n89812 100000\n26139 39214\n33264 49837\n42515 63670\n67988 100000\n34063 51035\n10958 16499\n25111 37671\n65054 97586\n28776 43134\n89817 100000\n25438 38160\n45277 67786\n9614 14453\n58420 87561\n3343 5056\n78343 100000\n36017 53923\n74253 100000\n81587 100000\n11377 17141\n71164 100000\n69932 100000\n26542 39806\n86694 100000\n25309 37963\n76100 100000\n95723 100000\n57734 86534\n54533 81696\n98379 100000\n47333 70873\n61900 92818\n1013 1519\n27599 41379\n1274 1906\n28803 43172\n61665 92460\n91419 100000\n48082 72006\n70494 100000\n11528 17363\n68768 100000\n69377 100000\n7414 11167\n1894 2861\n65493 98240\n63160 94718\n80373 100000\n48155 72110\n76519 100000\n56918 85295\n93862 100000\n27701 41528\n69544 100000\n20658 31039\n70039 100000\n4074 6148\n86467 100000\n75148 100000\n39211 58696\n26895 40321\n23620 35457\n55673 83408\n84930 100000\n68191 100000\n17280 25936\n44655 66853\n50999 76409\n46343 69381\n22154 33276\n50165 75157\n40462 60580\n35325 52882\n81851 100000\n79821 100000\n33367 49987\n67903 100000\n9897 14889\n52302 78340\n60426 90594\n42590 63777\n60836 91206\n83968 100000\n36855 55179\n4960 7492\n61450 92132\n75468 100000\n12463 18760\n22499 33796\n12076 18171\n23527 35322\n5473 8260\n76780 100000\n72302 100000\n28318 42459\n87522 100000\n63038 94537\n74728 100000\n1958 2956\n12915 19441\n23262 34923\n23956 35949\n19537 29352\n10045 15114\n52455 78574\n89994 100000\n60530 90754\n89989 100000\n87534 100000\n28492 42713\n57809 86642\n72668 100000\n9302 13990\n23206 34843\n83594 100000\n99412 100000\n60056 90040\n4607 6958\n21233 31888\n85242 100000\n53883 80714\n50754 76044\n87593 100000\n69332 100000\n15869 23840\n4168 6292\n324 485\n85445 100000\n53435 80036\n81403 100000\n62901 94338\n34022 50973\n91492 100000\n7310 11015\n77233 100000\n38908 58238\n53302 79836\n34697 51958\n2776 4197\n69324 100000\n94616 100000\n10493 15785\n15462 23244\n94834 100000\n15651 23518\n17583 26399\n16575 24889\n90331 100000\n71664 100000\n91481 100000\n14852 22344\n70674 100000\n52550 78721\n65377 98072\n52999 79383\n99035 100000\n44376 66432\n90144 100000\n93021 100000\n51138 76617\n56407 84520\n10177 15313\n78390 100000\n83453 100000\n33400 50038\n87276 100000\n75150 100000\n47877 71690\n45417 67991\n23482 35251\n71469 100000\n67384 100000\n18364 27572\n46656 69858\n75397 100000\n58632 87871\n16847 25290\n56722 85003\n19977 30015\n56757 85054\n6073 9168\n41318 61875\n10170 15304\n37428 56027\n20809 31265\n5778 8718\n32070 48039\n66746 100000\n27944 41891\n57551 86257\n95927 100000\n26943 40390\n12767 19219\n60152 90178\n76261 100000\n25076 37623\n19071 28643\n87663 100000\n81513 100000\n35897 53738\n10650 16027\n50433 75552\n77577 100000\n1732 2601\n75631 100000\n74752 100000\n15998 24028\n6068 9160\n26575 39855\n74812 100000\n89537 100000\n76813 100000\n15022 22601\n43056 64469\n49877 74737\n2757 4174\n34410 51552\n14997 22565\n82108 100000\n31550 47261\n71794 100000\n83874 100000\n252 378\n90291 100000\n77667 100000\n67478 100000\n44205 66169\n65554 98330\n58992 88415\n81778 100000\n26444 39667\n69786 100000\n17938 26931\n58881 88253\n69820 100000\n91801 100000\n91739 100000\n67288 100000\n20765 31201\n33914 50805\n30799 46154\n74351 100000\n36001 53895\n30236 45306\n80149 100000\n49224 73745\n54843 82156\n34050 51014\n89604 100000\n72797 100000\n8984 13513\n7061 10650\n65166 97764\n98061 100000\n42287 63329\n77548 100000\n95803 100000\n61291 91892\n81822 100000\n63324 94964\n38987 58361\n29377 44023\n20629 30992\n61063 91547\n66097 99145\n12991 19555\n27997 41971\n19503 29305\n10193 15336\n66784 100000\n95855 100000\n27350 41007\n12803 19270\n76088 100000\n79277 100000\n8968 13489\n4469 6740\n46397 69460\n60023 89992\n80802 100000\n12884 19393\n61459 92146\n81879 100000\n64448 96665\n4642 7011\n46594 69771\n27120 40655\n63614 95405\n57726 86523\n39511 59131\n59275 88851\n63596 95377\n6682 10087\n2116 3195\n99604 100000\n74134 100000\n94726 100000\n25800 38712\n34016 50962\n56000 83905\n40704 60942\n79920 100000\n75379 100000\n61360 91993\n34568 51773\n94348 100000\n12438 18723\n74415 100000\n5327 8040\n18304 27481\n40630 60835\n10099 15196\n39798 59569\n77460 100000\n17523 26310\n26234 39359\n91506 100000\n14613 21979\n96817 100000\n59309 88906\n9306 13995\n99944 100000\n21278 31953\n69191 100000\n18015 27045\n56046 83976\n83380 100000\n80119 100000\n4214 6361\n2178 3293\n32591 48813\n71017 100000\n62999 94482\n26413 39625\n13299 20023\n85088 100000\n67650 100000\n38533 57685\n42535 63701\n74193 100000\n33054 49519\n84646 100000\n46826 70104\n85476 100000\n94490 100000\n86681 100000\n45064 67468\n58598 87819\n41328 61890\n57859 86715\n31494 47180\n29743 44564\n70266 100000\n467 697\n90814 100000\n96104 100000\n12865 19365\n83833 100000\n16119 24206\n546 817\n75687 100000\n37453 56066\n17905 26883\n11259 16968\n30538 45762\n33880 50757\n6 9\n9452 14213\n2647 4013\n43774 65533\n69973 100000\n84302 100000\n72712 100000\n50160 75150\n91499 100000\n52773 79044\n1074 1609\n65895 98846\n60681 90983\n93726 100000\n22296 33495\n98720 100000\n62623 93919\n95651 100000\n96800 100000\n71252 100000\n19395 29150\n54523 81682\n39250 58752\n98584 100000\n10197 15341\n7188 10836\n23415 35148\n47600 71271\n60491 90696\n10642 16016\n40040 59944\n73985 100000\n89334 100000\n15166 22812\n11589 17454\n57930 86830\n97579 100000\n43717 65446\n96459 100000\n23704 35583\n5447 8220\n76012 100000\n55772 83556\n18604 27927\n48771 73062\n89634 100000\n45701 68417\n17757 26662\n17261 25908\n6366 9602\n13972 21022\n55965 83850\n9386 14119\n16165 24278\n99579 100000\n13272 19981\n7910 11914\n60805 91162\n57670 86434\n2843 4300\n23064 34632\n16765 25165\n61562 92310\n45240 67728\n9498 14282\n75019 100000\n78617 100000\n17952 26950\n75460 100000\n67111 100000\n56686 84950\n42325 63386\n40542 60701\n9041 13588\n42218 63227\n30205 45257\n67285 100000\n25422 38137\n55186 82668\n93917 100000\n89963 100000\n56853 85201\n99121 100000\n98555 100000\n26473 39711\n32763 49079\n8941 13447\n93210 100000\n22129 33237\n55166 82636\n73936 100000\n83931 100000\n56565 84761\n25051 37583\n10894 16404\n93338 100000\n95259 100000\n91137 100000\n70926 100000\n65781 98672\n84294 100000\n70670 100000\n62025 93018\n53092 79525\n28698 43022\n52635 78840\n30976 46411\n66055 99076\n93494 100000\n31889 47772\n9559 14374\n7815 11768\n94574 100000\n55222 82721\n77518 100000\n6018 9089\n30470 45662\n74426 100000\n86101 100000\n59714 89530\n29636 44409\n55418 83024\n10375 15614\n63692 95526\n22312 33515\n23929 35909\n20453 30737\n61367 92005\n43939 65766\n31967 47891\n17021 25550\n80283 100000\n7334 11048\n81694 100000\n99439 100000\n55613 83316\n70594 100000\n77022 100000\n26809 40191\n93857 100000\n9953 14971\n27315 40950\n67263 100000\n76064 100000\n18635 27974\n64754 97123\n25414 38125\n78858 100000\n70810 100000\n2713 4109\n65697 98538\n69669 100000\n10829 16310\n73572 100000\n48869 73211\n27637 41435\n27159 40714\n21214 31861\n59177 88696\n399 603\n20992 31530\n96041 100000\n98507 100000\n8642 13001\n90153 100000\n20682 31072\n90801 100000\n27807 41689\n96194 100000\n57012 85442\n32404 48526\n1796 2708\n76921 100000\n11880 17884\n48403 72497\n85468 100000\n43576 65236\n64633 96943\n74158 100000\n95038 100000\n87265 100000\n77186 100000\n45546 68184\n41282 61822\n93205 100000\n74668 100000\n61990 92964\n58428 87572\n71652 100000\n18795 28215\n78801 100000\n21613 32463\n55350 82919\n28263 42379\n25444 38170\n82879 100000\n40603 60794\n33583 50311\n31825 47678\n93892 100000\n56180 84180\n30892 46287\n82597 100000\n37148 55618\n87849 100000\n17445 26193\n65722 98578\n95296 100000\n3061 4637\n73923 100000\n40906 61256\n99856 100000\n3434 5185\n16212 24347\n73751 100000\n86352 100000\n29521 44233\n74831 100000\n50874 76218\n81945 100000\n36870 55203\n2556 3874\n11387 17155\n5392 8139\n91698 100000\n7283 10972\n57737 86540\n96261 100000\n66550 99825\n21775 32701\n88055 100000\n6082 9179\n54311 81361\n58518 87706\n69670 100000\n32075 48046\n5037 7600\n38730 57963\n33645 50415\n22325 33532\n71683 100000\n78183 100000\n13622 20501\n88387 100000\n69417 100000\n63890 95831\n34856 52193\n27247 40848\n67006 100000\n26216 39331\n37266 55796\n27788 41661\n88951 100000\n43321 64866\n32548 48744\n89620 100000\n53554 80215\n9560 14376\n11445 17239\n26783 40154\n69138 100000\n10936 16470\n28216 42310\n86896 100000\n41013 61412\n34187 51224\n95697 100000\n98278 100000\n70769 100000\n85748 100000\n5901 8918\n29155 43697\n35880 53712\n44100 66003\n13499 20311\n7302 11001\n85615 100000\n28192 42276\n24866 37304\n4483 6762\n46890 70195\n37206 55704\n30188 45228\n9333 14038\n48456 72575\n16156 24263\n20031 30095\n5116 7729\n43312 64855\n79851 100000\n99347 100000\n81987 100000\n77776 100000\n92 136\n95338 100000\n15847 23807\n98649 100000\n71061 100000\n14101 21232\n71181 100000\n74281 100000\n14697 22110\n99658 100000\n97594 100000\n24822 37233\n18786 28202\n49203 73713\n69569 100000\n31306 46901\n28659 42965\n19153 28775\n49836 74673\n87715 100000\n17546 26344\n22348 33568\n78469 100000\n5915 8939\n82656 100000\n8855 13321\n46884 70185\n93863 100000\n93522 100000\n25645 38470\n86141 100000\n21167 31793\n82183 100000\n73145 100000\n91892 100000\n8994 13526\n30156 45182\n79258 100000\n57595 86326\n21236 31893\n26214 39328\n64436 96649\n74768 100000\n80309 100000\n45128 67561\n5001 7549\n56550 84737\n25559 38341\n71380 100000\n97020 100000\n68606 100000\n80497 100000\n57230 85757\n3816 5749\n75699 100000\n80479 100000\n41986 62877\n36109 54058\n94329 100000\n48126 72065\n74452 100000\n81938 100000\n69209 100000\n98701 100000\n81820 100000\n89866 100000\n20071 30152\n3433 5183\n69826 100000\n51070 76514\n24199 36313\n35023 52440\n16500 24779\n3372 5096\n55650 83374\n29333 43957\n19405 29163\n14215 21397\n52287 78313\n41136 61598\n63040 94541\n29477 44170\n85795 100000\n86686 100000\n51081 76530\n18143 27243\n63787 95673\n21559 32379\n20465 30754\n52291 78320\n61760 92607\n28557 42816\n80835 100000\n55668 83400\n21853 32822\n88932 100000\n2868 4339\n70835 100000\n63374 95035\n20263 30447\n42193 63191\n27284 40903\n41738 62504\n62571 93840\n7646 11519\n62854 94270\n54452 81573\n2793 4222\n83327 100000\n87247 100000\n29421 44089\n64563 96837\n11714 17640\n57546 86248\n81988 100000\n18164 27270\n43772 65531\n79932 100000\n65425 98144\n30161 45189\n22788 34219\n33651 50424\n19023 28571\n86675 100000\n45768 68518\n27360 41024\n84329 100000\n95558 100000\n24428 36664\n31237 46804\n92752 100000\n75333 100000\n73557 100000\n6929 10465\n4012 6046\n80555 100000\n23525 35319\n41829 62654\n4580 6915\n35487 53127\n61696 92508\n5535 8354\n97506 100000\n49163 73654\n48035 71931\n24912 37372\n91917 100000\n36341 54416\n76959 100000\n7466 11250\n67614 100000\n82144 100000\n31200 46746\n53193 79670\n62615 93906\n46454 69549\n63629 95426\n1137 1705\n51578 77276\n51029 76454\n14397 21663\n71078 100000\n66479 99714\n70151 100000\n41300 61847\n62434 93638\n18552 27852\n92612 100000\n47619 71298\n96005 100000\n31666 47438\n1752 2633\n87379 100000\n73555 100000\n37023 55426\n2572 3899\n56905 85276\n67956 100000\n97667 100000\n95954 100000\n3533 5333\n17338 26027\n77735 100000\n92808 100000\n26938 40384\n34801 52117\n31256 46832\n35637 53354\n96456 100000\n9501 14286\n29501 44205\n16696 25059\n8414 12660\n19252 28927\n43075 64501\n98449 100000\n36028 53939\n1702 2556\n59872 89768\n82468 100000\n5565 8393\n95939 100000\n67673 100000\n1912 2891\n54287 81328\n45815 68590\n34572 51778\n52352 78416\n4690 7082\n60705 91017\n37169 55648\n94651 100000\n42875 64200\n46091 69001\n53441 80046\n87414 100000\n55864 83697\n13519 20342\n9351 14065\n3711 5589\n87642 100000\n70682 100000\n63737 95594\n19091 28678\n75847 100000\n53942 80805\n59163 88677\n78250 100000\n17536 26331\n52837 79146\n70042 100000\n14964 22515\n7805 11755\n37481 56110\n96872 100000\n87828 100000\n58908 88292\n98197 100000\n90020 100000\n29830 44698\n87416 100000\n27747 41595\n54734 81994\n35107 52564\n48782 73079\n32092 48072\n73796 100000\n25437 38159\n59815 89679\n67420 100000\n17279 25935\n53355 79916\n94098 100000\n20896 31396\n14131 21272\n76712 100000\n11081 16690\n13417 20197\n2368 3588\n57816 86651\n85258 100000\n4574 6905\n46418 69492\n66332 99497\n57893 86770\n3714 5593\n3371 5095\n88036 100000\n56454 84588\n212 316\n94623 100000\n78949 100000\n23995 36010\n47347 70894\n17744 26644\n82718 100000\n97809 100000\n5668 8547\n19650 29523\n7409 11160\n5424 8185\n91435 100000\n42137 63100\n48478 72609\n82672 100000\n98563 100000\n15512 23319\n65703 98548\n84245 100000\n41211 61713\n75045 100000\n11488 17302\n88246 100000\n5761 8690\n70408 100000\n54446 81561\n88804 100000\n23134 34736\n79540 100000\n38906 58235\n73635 100000\n65026 97543\n51359 76956\n6621 9994\n71377 100000\n87790 100000\n52775 79046\n37251 55774\n16510 24794\n96982 100000\n32610 48844\n93337 100000\n36054 53975\n12064 18154\n17284 25942\n90406 100000\n99506 100000\n67568 100000\n43296 64833\n95663 100000\n8307 12505\n2316 3506\n17308 25979\n94186 100000\n93355 100000\n77167 100000\n41370 61947\n21694 32581\n20463 30751\n64591 96880\n91166 100000\n48463 72589\n64503 96747\n25265 37899\n54079 81019\n57381 85989\n79545 100000\n66472 99704\n98648 100000\n29548 44275\n68029 100000\n67119 100000\n89000 100000\n37021 55423\n14890 22403\n63140 94695\n1005 1506\n55002 82386\n32663 48923\n72483 100000\n35191 52679\n55236 82742\n50664 75908\n44481 66587\n54018 80921\n61599 92366\n4822 7284\n10064 15140\n11737 17676\n28745 43090\n23680 35547\n55691 83435\n47340 70883\n66766 100000\n71984 100000\n14021 21101\n21669 32545\n31197 46742\n69186 100000\n28420 42610\n21628 32486\n18213 27345\n41892 62743\n67490 100000\n2663 4031\n59234 88784\n47219 70702\n94519 100000\n93324 100000\n98423 100000\n9919 14924\n39155 58611\n75741 100000\n23955 35947\n96712 100000\n37881 56701\n76887 100000\n58755 88066\n95456 100000\n74569 100000\n18398 27619\n31987 47924\n79330 100000\n74822 100000\n41522 62178\n27414 41104\n29599 44358\n58132 87132\n62699 94036\n79215 100000\n78566 100000\n74307 100000\n91275 100000\n85020 100000\n44131 66057\n46709 69939\n1718 2581\n45907 68728\n58610 87836\n56501 84660\n91568 100000\n43822 65597\n89005 100000\n51400 77013\n57988 86913\n10347 15569\n47065 70464\n38546 57703\n24360 36560\n31594 47329\n57004 85430\n72523 100000\n79179 100000\n45364 67912\n76189 100000\n7023 10600\n86767 100000\n57833 86677\n15238 22913\n47401 70976\n52822 79122\n79198 100000\n53676 80398\n51104 76567\n54174 81157\n88887 100000\n95897 100000\n8092 12184\n79744 100000\n64615 96921\n20817 31277\n77532 100000\n75865 100000\n55308 82853\n91274 100000\n26782 40153\n41326 61887\n97512 100000\n80552 100000\n7503 11304\n20178 30313\n85317 100000\n38831 58123\n34279 51359\n29752 44578\n26982 40446\n35572 53262\n81884 100000\n62920 94366\n40038 59941\n94480 100000\n15366 23107\n18431 27667\n91844 100000\n29173 43720\n87496 100000\n44766 67027\n4494 6779\n90742 100000\n10658 16040\n74525 100000\n84509 100000\n53128 79579\n35883 53715\n31578 47301\n71932 100000\n58789 88116\n84739 100000\n95324 100000\n2742 4154\n88141 100000\n26201 39309\n73840 100000\n5575 8407\n49892 74760\n77294 100000\n17875 26836\n47010 70379\n46683 69898\n17422 26159\n64638 96950\n37386 55964\n48334 72387\n33604 50347\n70226 100000\n97057 100000\n18022 27054\n18699 28069\n58263 87327\n84145 100000\n12345 18580\n68137 100000\n95686 100000\n84380 100000\n74219 100000\n45264 67761\n33366 49986\n46148 69084\n64106 96149\n78805 100000\n9695 14577\n8138 12245\n75246 100000\n51977 77852\n86299 100000\n95471 100000\n62711 94055\n83300 100000\n67820 100000\n92388 100000\n34842 52175\n53232 79726\n49864 74714\n71308 100000\n94123 100000\n16160 24270\n2749 4163\n42991 64376\n49364 73959\n6512 9828\n22750 34164\n21155 31775\n76642 100000\n53386 79967\n72333 100000\n79276 100000\n219 327\n39910 59747\n54510 81662\n39646 59332\n73645 100000\n1266 1894\n70250 100000\n81364 100000\n33188 49718\n8123 12226\n91196 100000\n42947 64308\n91306 100000\n27991 41960\n18216 27350\n51721 77480\n99032 100000\n34735 52017\n73364 100000\n50787 76093\n16474 24738\n93765 100000\n42036 62950\n75835 100000\n42277 63315\n62990 94470\n46409 69479\n7140 10763\n4116 6210\n22531 33840\n18184 27299\n51317 76887\n24698 37064\n51007 76419\n75076 100000\n25778 38677\n80812 100000\n19298 28997\n39252 58755\n44988 67355\n39457 59056\n18508 27784\n92031 100000\n53187 79661\n83959 100000\n42698 63939\n5796 8751\n46264 69268\n92848 100000\n39740 59473\n6144 9275\n42374 63467\n17034 25570\n14879 22384\n28008 41987\n51866 77691\n57157 85649\n8327 12533\n78217 100000\n3308 5002\n94090 100000\n48831 73155\n2783 4207\n14003 21071\n44065 65953\n37783 56564\n57082 85542\n74826 100000\n33098 49581\n3651 5501\n5160 7793\n48029 71921\n47147 70585\n53711 80452\n38145 57101\n65279 97933\n37489 56122\n8260 12433\n16877 25336\n93886 100000\n78356 100000\n8422 12671\n45370 67920\n70729 100000\n18737 28123\n69215 100000\n19498 29299\n68984 100000\n10655 16036\n98167 100000\n9885 14874\n44094 65994\n16768 25170\n52360 78427\n3563 5376\n77126 100000\n59100 88579\n57371 85974\n87635 100000\n31520 47218\n57337 85927\n35422 53028\n65650 98469\n24699 37065\n7994 12045\n15598 23443\n5305 8007\n8462 12729\n44304 66318\n45171 67626\n85632 100000\n14153 21306\n30910 46311\n43204 64690\n13362 20117\n99960 100000\n70930 100000\n29392 44043\n31230 46794\n622 928\n91988 100000\n70781 100000\n68908 100000\n29694 44485\n83560 100000\n97452 100000\n48464 72591\n62106 93137\n75219 100000\n67045 100000\n69721 100000\n3945 5945\n49234 73761\n24758 37145\n54833 82144\n4528 6831\n70710 100000\n63363 95018\n9214 13858\n56590 84801\n61634 92414\n37680 56404\n25834 38764\n34673 51925\n57777 86594\n7514 11325\n51474 77124\n4674 7061\n88101 100000\n63317 94955\n32122 48114\n14161 21320\n43678 65386\n92064 100000\n39626 59301\n92604 100000\n55113 82560\n81668 100000\n27041 40539\n71102 100000\n40884 61219\n51785 77574\n9349 14061\n96665 100000\n72780 100000\n22722 34119\n84153 100000\n63474 95186\n43653 65354\n46331 69365\n91205 100000\n74202 100000\n6419 9682\n58486 87657\n85135 100000\n10159 15286\n31485 47163\n50913 76277\n43704 65425\n48814 73130\n71407 100000\n48911 73275\n96658 100000\n15627 23486\n5276 7964\n58204 87237\n66621 99932\n85994 100000\n3195 4837\n91278 100000\n59316 88917\n24440 36682\n25138 37710\n97300 100000\n5203 7855\n23852 35793\n79576 100000\n69053 100000\n30335 45459\n60175 90215\n31122 46622\n16844 25285\n34436 51589\n11984 18031\n95851 100000\n33354 49967\n46699 69924\n2658 4025\n93708 100000\n91547 100000\n36860 55188\n15247 22929\n32721 49016\n54937 82296\n38420 57521\n13457 20254\n16404 24632\n6443 9720\n18264 27420\n47955 71808\n70233 100000\n98022 100000\n13224 19907\n8652 13017\n94634 100000\n50949 76336\n32637 48884\n58196 87223\n89017 100000\n37315 55865\n12675 19080\n66839 100000\n15566 23398\n57272 85825\n15110 22725\n6551 9887\n14787 22247\n54273 81307\n45482 68092\n37167 55645\n56095 84052\n17509 26289\n75404 100000\n6959 10511\n61517 92238\n78511 100000\n4104 6193\n19781 29711\n20101 30198\n54486 81626\n89197 100000\n25217 37828\n62677 94002\n71151 100000\n78724 100000\n69806 100000\n78168 100000\n60224 90287\n53377 79953\n84062 100000\n9850 14818\n50208 75222\n77109 100000\n52742 78998\n30852 46229\n28021 42010\n50650 75885\n45358 67903\n99476 100000\n5465 8249\n4022 6065\n66944 100000\n90416 100000\n80051 100000\n1063 1594\n70513 100000\n15082 22685\n21235 31892\n81931 100000\n24151 36243\n86031 100000\n6871 10380\n22360 33587\n26745 40099\n60012 89975\n17519 26304\n61838 92722\n99921 100000\n97817 100000\n89700 100000\n37442 56048\n20679 31068\n34055 51021\n68813 100000\n5164 7799\n31740 47552\n51813 77618\n13588 20450\n57987 86912\n46638 69831\n58165 87183\n64693 97032\n3407 5148\n12125 18244\n88938 100000\n755 1128\n69030 100000\n13449 20243\n3905 5880\n56844 85189\n53105 79545\n19214 28870\n44019 65886\n90577 100000\n82114 100000\n58852 88210\n88428 100000\n71009 100000\n76475 100000\n28499 42727\n81650 100000\n46676 69887\n54549 81719\n31325 46930\n18992 28524\n61368 92007\n8909 13399\n94848 100000\n84764 100000\n93953 100000\n37309 55858\n88629 100000\n41993 62884\n94469 100000\n11835 17822\n88990 100000\n45540 68176\n17407 26135\n21993 33026\n58425 87567\n31399 47042\n29767 44599\n87746 100000\n95635 100000\n21098 31693\n79061 100000\n8879 13357\n60734 91063\n16233 24381\n97783 100000\n44411 66481\n89785 100000\n20317 30523\n82847 100000\n30200 45248\n25920 38890\n28654 42958\n81399 100000\n84123 100000\n74971 100000\n28723 43058\n85453 100000\n35433 53048\n98839 100000\n98312 100000\n84023 100000\n85489 100000\n90565 100000\n1475 2205\n24987 37483\n92478 100000\n57344 85935\n16902 25374\n38195 57178\n89004 100000\n33011 49451\n6103 9208\n33316 49911\n2661 4028\n65811 98714\n17495 26268\n25742 38619\n12342 18575\n18494 27764\n23122 34718\n28197 42284\n6399 9652\n64244 96365\n95774 100000\n58708 87989\n33277 49856\n10970 16515\n47018 70392\n75027 100000\n56483 84631\n66568 99853\n52757 79020\n25476 38220\n60962 91390\n58527 87717\n58566 87773\n98223 100000\n34990 52392\n97238 100000\n44409 66478\n59143 88645\n2805 4238\n7186 10833\n11243 16943\n70150 100000\n4316 6511\n96967 100000\n86358 100000\n22601 33944\n71755 100000\n16551 24855\n26081 39126\n85822 100000\n55387 82974\n18530 27815\n22265 33451\n92046 100000\n15866 23834\n91071 100000\n38339 57399\n42663 63885\n60735 91065\n86077 100000\n15652 23519\n75057 100000\n47482 71093\n74123 100000\n32436 48575\n578 865\n15129 22751\n46845 70126\n15960 23971\n58759 88073\n4149 6260\n88648 100000\n74858 100000\n84678 100000\n78756 100000\n88069 100000\n37381 55957\n27309 40940\n3900 5872\n60501 90712\n14785 22244\n6121 9240\n11773 17730\n21527 32329\n2673 4047\n8836 13291\n64634 96945\n35066 52506\n24502 36771\n15974 23991\n38773 58029\n28118 42167\n12331 18557\n45839 68625\n84170 100000\n9360 14079\n67554 100000\n39581 59233\n49113 73577\n61180 91725\n56736 85025\n94112 100000\n53514 80153\n52160 78117\n22534 33845\n14367 21622\n99406 100000\n19762 29681\n95170 100000\n91899 100000\n50724 75997\n32934 49343\n16906 25379\n34553 51753\n43130 64580\n96483 100000\n23641 35487\n61083 91578\n50997 76406\n24733 37112\n27424 41118\n3423 5169\n15746 23664\n92613 100000\n57321 85904\n31940 47850\n37753 56515\n15890 23872\n87378 100000\n11256 16963\n65097 97654\n52934 79291\n12815 19288\n44605 66774\n16318 24507\n11690 17605\n30311 45421\n76138 100000\n98508 100000\n39152 58606\n62311 93450\n52390 78469\n70314 100000\n73748 100000\n21247 31911\n4681 7070\n21608 32453\n83528 100000\n64310 96463\n39950 59806\n91528 100000\n30187 45227\n49464 74116\n3069 4648\n58355 87462\n19570 29401\n84141 100000\n40142 60099\n34915 52282\n66436 99641\n62743 94106\n55767 83550\n65430 98151\n46236 69224\n3937 5932\n8458 12723\n33537 50245\n91229 100000\n96256 100000\n21750 32661\n58491 87664\n63616 95408\n29764 44595\n10800 16263\n99078 100000\n62008 92993\n50790 76099\n53907 80750\n44073 65964\n28296 42426\n3954 5957\n37735 56486\n6528 9854\n9231 13888\n37861 56671\n7776 11710\n42388 63485\n12751 19191\n46561 69722\n26403 39609\n61877 92783\n67592 100000\n20089 30181\n97415 100000\n92075 100000\n11059 16659\n65329 98005\n1387 2072\n97730 100000\n71236 100000\n41497 62140\n9443 14200\n96963 100000\n24163 36262\n21501 32289\n46231 69215\n16409 24638\n68396 100000\n54827 82134\n55785 83577\n19667 29547\n55764 83545\n47177 70634\n81332 100000\n46938 70263\n96715 100000\n16177 24298\n29323 43941\n81133 100000\n33563 50281\n39627 59303\n90632 100000\n31412 47059\n78669 100000\n3300 4991\n27552 41309\n90075 100000\n84800 100000\n48336 72390\n43891 65702\n23913 35883\n67658 100000\n79405 100000\n5163 7797\n45449 68040\n61706 92523\n898 1334\n18654 28002\n6600 9963\n49595 74307\n2997 4541\n40667 60891\n76986 100000\n83270 100000\n65500 98253\n60487 90688\n29516 44226\n19461 29243\n80465 100000\n30163 45192\n49339 73918\n74011 100000\n73025 100000\n63128 94676\n92360 100000\n47044 70432\n88572 100000\n38443 57555\n65702 98546\n86981 100000\n32843 49202\n62697 94032\n68423 100000\n90187 100000\n81359 100000\n55640 83361\n58456 87613\n62242 93342\n68945 100000\n84441 100000\n53224 79713\n49667 74414\n3381 5110\n90782 100000\n56957 85355\n30373 45510\n70251 100000\n55854 83681\n96811 100000\n71346 100000\n61943 92889\n66684 100000\n5234 7899\n57027 85461\n98578 100000\n75094 100000\n87976 100000\n38840 58137\n57323 85906\n3909 5887\n39538 59171\n48881 73231\n86323 100000\n11742 17685\n99797 100000\n3696 5568\n9820 14772\n97466 100000\n84239 100000\n668 997\n29140 43677\n13034 19619\n49909 74783\n61758 92604\n9458 14223\n51978 77853\n8573 12900\n11292 17018\n44963 67319\n41630 62342\n23754 35656\n95425 100000\n71116 100000\n94802 100000\n1594 2388\n29309 43924\n26488 39729\n71642 100000\n53771 80551\n37397 55981\n22197 33345\n98396 100000\n19775 29701\n57046 85488\n74677 100000\n18501 27772\n70574 100000\n91149 100000\n51950 77812\n96743 100000\n98848 100000\n64812 97220\n45586 68249\n17900 26873\n14631 22006\n43769 65527\n58734 88029\n63370 95030\n55388 82976\n36033 53946\n83835 100000\n57126 85604\n5131 7749\n81407 100000\n53209 79693\n73097 100000\n52415 78508\n16213 24348\n17333 26020\n38503 57644\n95533 100000\n83312 100000\n79340 100000\n28579 42851\n59413 89073\n98157 100000\n39862 59673\n23614 35447\n54703 81949\n94445 100000\n6557 9895\n93824 100000\n3131 4739\n55710 83463\n96373 100000\n79064 100000\n4992 7538\n6152 9287\n57762 86574\n78862 100000\n82711 100000\n24973 37459\n54013 80914\n7937 11955\n14767 22214\n15979 23999\n15435 23205\n19174 28810\n21584 32416\n20537 30857\n78735 100000\n77607 100000\n25941 38920\n21804 32745\n89417 100000\n32531 48719\n11743 17687\n45325 67853\n70262 100000\n37079 55514\n96454 100000\n93572 100000\n74711 100000\n99735 100000\n44477 66583\n17402 26127\n49847 74688\n80885 100000\n65810 98713\n76217 100000\n49153 73638\n13014 19593\n92598 100000\n53576 80247\n8100 12196\n28556 42815\n39370 58927\n23551 35356\n58570 87779\n21799 32737\n96112 100000\n87122 100000\n36889 55232\n65296 97955\n63698 95534\n35667 53399\n73166 100000\n47270 70780\n53647 80353\n17664 26529\n47883 71700\n48453 72571\n84570 100000\n49522 74203\n27977 41937\n14166 21328\n66355 99532\n67891 100000\n33576 50300\n92326 100000\n82544 100000\n70025 100000\n27130 40670\n54370 81449\n46430 69511\n97205 100000\n43743 65488\n76289 100000\n77867 100000\n29065 43567\n9653 14514\n40260 60273\n32835 49190\n82444 100000\n74953 100000\n33967 50889\n91361 100000\n8049 12123\n81249 100000\n69414 100000\n4470 6742\n18721 28103\n86984 100000\n95790 100000\n30882 46272\n59866 89759\n31658 47426\n21946 32962\n52851 79164\n58864 88227\n89770 100000\n976 1462\n76812 100000\n64836 97256\n60043 90025\n73513 100000\n79058 100000\n94995 100000\n67004 100000\n11136 16775\n11620 17498\n20655 31034\n89300 100000\n40816 61109\n6181 9328\n83305 100000\n24775 37169\n80071 100000\n80955 100000\n47421 71005\n80125 100000\n79445 100000\n92971 100000\n2039 3079\n25745 38624\n65611 98414\n30168 45201\n14714 22136\n85731 100000\n14300 21519\n53089 79521\n54164 81143\n75437 100000\n86313 100000\n80586 100000\n39720 59443\n21586 32419\n55266 82786\n28874 43283\n42833 64140\n22945 34455\n88647 100000\n10431 15696\n20288 30478\n73899 100000\n3684 5549\n70658 100000\n7226 10894\n40625 60829\n50889 76240\n79129 100000\n91785 100000\n10570 15904\n24270 36420\n31770 47594\n18281 27447\n75273 100000\n76187 100000\n30326 45446\n9177 13801\n34974 52369\n11977 18020\n46060 68950\n88794 100000\n7624 11488\n5020 7575\n42644 63854\n99544 100000\n47592 71259\n7373 11108\n38722 57950\n24373 36581\n5788 8736\n42817 64115\n15107 22722\n82679 100000\n92953 100000\n19141 28756\n84020 100000\n463 693\n33485 50167\n7502 11303\n44396 66461\n75970 100000\n89931 100000\n20383 30626\n39052 58462\n22292 33490\n73947 100000\n4267 6443\n21399 32137\n5245 7918\n58922 88313\n63222 94811\n61324 91940\n1573 2358\n65429 98149\n12280 18484\n81897 100000\n62679 94005\n54221 81227\n85919 100000\n5059 7639\n83808 100000\n46986 70338\n13949 20985\n36055 53977\n81392 100000\n14164 21326\n30437 45612\n68033 100000\n70993 100000\n51 73\n47814 71591\n57067 85522\n68624 100000\n37961 56826\n22893 34376\n57542 86241\n74127 100000\n45235 67723\n58521 87711\n62513 93754\n31417 47066\n51984 77861\n87445 100000\n24430 36666\n23173 34794\n61086 91582\n77786 100000\n42540 63707\n50951 76338\n19815 29763\n68548 100000\n68894 100000\n11072 16677\n65542 98313\n57582 86308\n38756 58003\n27971 41929\n95383 100000\n97896 100000\n87921 100000\n31282 46867\n94795 100000\n56447 84579\n577 864\n92067 100000\n20947 31469\n90908 100000\n59226 88774\n57186 85692\n64668 96996\n16903 25375\n95023 100000\n466 696\n39002 58386\n96316 100000\n43061 64478\n29102 43621\n53528 80172\n49429 74066\n98650 100000\n38146 57103\n55859 83690\n1223 1830\n17763 26670\n89647 100000\n67120 100000\n30707 46020\n1676 2515\n91852 100000\n25108 37668\n66947 100000\n48804 73114\n77531 100000\n56092 84048\n90613 100000\n55127 82579\n50845 76177\n91862 100000\n37319 55872\n10148 15268\n8610 12956\n89104 100000\n44134 66061\n28546 42801\n48483 72615\n41004 61400\n32948 49362\n78186 100000\n32471 48629\n89164 100000\n19482 29276\n65044 97570\n7641 11513\n93623 100000\n24985 37480\n88908 100000\n56463 84604\n5611 8458\n228 340\n21655 32525\n75737 100000\n31190 46730\n31297 46890\n22268 33456\n76334 100000\n23755 35658\n52091 78021\n62019 93009\n63400 95074\n99133 100000\n51638 77361\n57021 85454\n35403 52999\n11509 17334\n50528 75701\n79133 100000\n41410 62012\n2954 4474\n91638 100000\n6374 9616\n59370 89001\n74836 100000\n30642 45925\n64008 95998\n17226 25855\n13731 20659\n82347 100000\n31819 47669\n44522 66646\n46573 69738\n83729 100000\n48201 72184\n58686 87954\n22668 34040\n25467 38208\n27101 40627\n68425 100000\n59916 89833\n18031 27070\n44745 66998\n31041 46500\n12850 19342\n18023 27055\n95562 100000\n51296 76859\n91931 100000\n55155 82620\n81119 100000\n87104 100000\n25377 38065\n54389 81475\n15838 23795\n56059 83996\n2559 3879\n29047 43541\n57174 85676\n65366 98057\n98014 100000\n17506 26284\n14502 21813\n85744 100000\n1443 2157\n17594 26413\n62424 93618\n78493 100000\n711 1062\n1623 2431\n98345 100000\n85602 100000\n48342 72399\n24633 36968\n98948 100000\n73682 100000\n63147 94703\n70558 100000\n3481 5256\n70456 100000\n50702 75965\n53450 80061\n2580 3909\n18019 27051\n86943 100000\n32048 48006\n1350 2019\n78800 100000\n92771 100000\n83761 100000\n10513 15817\n59677 89470\n30627 45900\n18545 27842\n68520 100000\n47151 70591\n89728 100000\n81087 100000\n73373 100000\n66619 99928\n16917 25397\n57723 86519\n23393 35116\n33498 50187\n58043 86997\n62213 93297\n96856 100000\n68044 100000\n91755 100000\n78797 100000\n5304 8006\n46 65\n36397 54503\n13890 20897\n95684 100000\n45819 68595\n67274 100000\n98913 100000\n50194 75201\n40742 60997\n62226 93319\n28611 42899\n49563 74256\n17756 26661\n70533 100000\n62758 94127\n70523 100000\n44090 65989\n73149 100000\n13696 20610\n64544 96810\n47491 71109\n51707 77461\n8036 12102\n71171 100000\n21059 31632\n8913 13404\n56356 84441\n79186 100000\n77224 100000\n30469 45661\n6390 9640\n80751 100000\n39100 58530\n31980 47913\n21512 32305\n57825 86664\n29018 43494\n24621 36950\n96065 100000\n63494 95216\n70804 100000\n25322 37982\n38337 57395\n30511 45722\n97375 100000\n79435 100000\n97914 100000\n91873 100000\n31653 47419\n70269 100000\n7736 11653\n75642 100000\n54163 81142\n96178 100000\n86926 100000\n56333 84407\n65513 98272\n44979 67342\n53168 79633\n15298 23000\n20907 31411\n43088 64518\n62459 93678\n89680 100000\n80171 100000\n41064 61485\n88563 100000\n60657 90947\n82011 100000\n55979 83869\n69691 100000\n74727 100000\n96441 100000\n3783 5699\n62738 94098\n43585 65246\n19356 29086\n41371 61948\n59061 88519\n51501 77169\n33901 50786\n98302 100000\n52819 79117\n82990 100000\n36301 54353\n15106 22721\n26903 40334\n59378 89015\n40333 60380\n37093 55536\n23378 35093\n72448 100000\n38318 57365\n64147 96212\n97664 100000\n43904 65720\n21911 32905\n14061 21163\n80728 100000\n15038 22623\n504 750\n49656 74398\n24695 37059\n86827 100000\n85157 100000\n72272 100000\n77609 100000\n25146 37722\n50619 75838\n20866 31350\n99324 100000\n23295 34970\n55375 82953\n14678 22078\n74192 100000\n38795 58065\n85475 100000\n14204 21381\n521 776\n87471 100000\n32867 49239\n75161 100000\n95414 100000\n67304 100000\n33878 50753\n52693 78923\n54262 81288\n15609 23458\n54276 81310\n71245 100000\n15797 23736\n80830 100000\n62041 93039\n60670 90967\n91003 100000\n19855 29827\n18832 28276\n49824 74655\n36904 55255\n15948 23954\n28643 42944\n18158 27262\n18246 27394\n54627 81834\n61622 92396\n37538 56192\n83782 100000\n5291 7986\n41615 62319\n54421 81524\n67521 100000\n41400 61996\n5755 8680\n56807 85132\n49773 74574\n20226 30389\n6140 9269\n96326 100000\n80114 100000\n62264 93378\n48290 72318\n63506 95236\n65452 98184\n19400 29156\n17848 26798\n39957 59816\n48725 72991\n67032 100000\n88085 100000\n42460 63589\n8161 12279\n81818 100000\n13909 20925\n10480 15766\n92441 100000\n51338 76919\n78791 100000\n90414 100000\n81964 100000\n19942 29965\n5792 8744\n25181 37774\n77573 100000\n86457 100000\n93663 100000\n3878 5841\n60325 90442\n4530 6834\n61474 92173\n30002 44948\n52090 78020\n96371 100000\n40479 60606\n54414 81513\n53984 80870\n36593 54799\n58675 87935\n56409 84523\n73972 100000\n65325 97999\n21441 32202\n12128 18248\n15987 24011\n95045 100000\n55449 83070\n77025 100000\n12780 19240\n65321 97994\n76985 100000\n84079 100000\n3922 5909\n80900 100000\n82927 100000\n40869 61193\n79539 100000\n61773 92627\n59248 88807\n61660 92452\n36002 53896\n45016 67396\n79014 100000\n15696 23584\n44360 66406\n1690 2539\n44040 65916\n33381 50009\n12245 18431\n88156 100000\n79088 100000\n81391 100000\n28727 43064\n11303 17034\n86790 100000\n439 657\n18412 27638\n72665 100000\n53208 79691\n31807 47649\n32270 48334\n24369 36574\n93565 100000\n8439 12696\n20485 30783\n13413 20192\n51737 77503\n37905 56743\n71990 100000\n53200 79679\n53788 80576\n52345 78406\n34193 51232\n69371 100000\n12374 18629\n90925 100000\n12601 18971\n77413 100000\n22852 34313\n33251 49816\n73096 100000\n66603 99905\n66577 99868\n20626 30987\n13797 20749\n21550 32366\n71297 100000\n66017 99021\n19454 29233\n31176 46706\n45791 68553\n90855 100000\n87489 100000\n9418 14161\n57881 86751\n59269 88840\n74650 100000\n5361 8091\n63745 95606\n45527 68160\n17501 26277\n39185 58660\n29175 43723\n57982 86906\n28673 42988\n91952 100000\n932 1393\n23368 35080\n78085 100000\n80878 100000\n58015 86956\n282 418\n79764 100000\n44491 66603\n82604 100000\n60218 90279\n72397 100000\n52969 79340\n56214 84231\n6999 10569\n28266 42384\n89862 100000\n12381 18638\n83211 100000\n96011 100000\n48187 72159\n80494 100000\n72750 100000\n67918 100000\n28623 42914\n99749 100000\n76057 100000\n71796 100000\n82823 100000\n2950 4468\n25296 37944\n4972 7510\n97659 100000\n15988 24012\n26652 39959\n31341 46957\n93133 100000\n40525 60676\n22162 33289\n81965 100000\n89950 100000\n56037 83962\n14814 22286\n56938 85324\n96734 100000\n62485 93713\n64041 96050\n96421 100000\n4045 6100\n83222 100000\n96584 100000\n66900 100000\n96740 100000\n15310 23016\n56286 84334\n47808 71581\n405 610\n94877 100000\n28392 42568\n23166 34781\n10863 16353\n49669 74417\n3267 4940\n91880 100000\n22988 34518\n25823 38748\n25538 38308\n53555 80217\n83514 100000\n70756 100000\n58123 87117\n69792 100000\n68324 100000\n49195 73703\n34696 51957\n61754 92597\n71402 100000\n36692 54947\n95341 100000\n85758 100000\n10394 15641\n3112 4711\n28732 43071\n31402 47047\n50000 74919\n50463 75597\n38416 57517\n85894 100000\n81465 100000\n5512 8320\n89490 100000\n77041 100000\n80718 100000\n55963 83847\n2179 3294\n61906 92828\n93731 100000\n21197 31836\n48779 73073\n43174 64645\n31553 47266\n14258 21458\n77394 100000\n52313 78359\n32760 49075\n65828 98739\n14642 22024\n5237 7905\n65963 98943\n55805 83605\n91093 100000\n89893 100000\n49827 74660\n52413 78505\n78139 100000\n62142 93191\n73301 100000\n37913 56752\n61219 91784\n52984 79361\n71090 100000\n88700 100000\n54834 82145\n39443 59037\n5791 8742\n49524 74206\n42288 63331\n97268 100000\n88307 100000\n51814 77619\n85502 100000\n70274 100000\n45299 67814\n28125 42176\n87204 100000\n30669 45969\n95860 100000\n79193 100000\n11753 17702\n38848 58151\n78425 100000\n58289 87366\n32176 48195\n23250 34906\n677 1012\n1964 2966\n95991 100000\n17352 26050\n93179 100000\n49325 73895\n81289 100000\n5617 8467\n87019 100000\n82461 100000\n55285 82818\n99676 100000\n37822 56619\n23752 35653\n78838 100000\n47651 71345\n58980 88398\n94013 100000\n90921 100000\n96958 100000\n2872 4345\n65525 98288\n2076 3138\n74111 100000\n56400 84508\n79777 100000\n46426 69504\n28145 42205\n72738 100000\n92060 100000\n71286 100000\n35636 53352\n39196 58675\n30363 45495\n5696 8590\n46673 69882\n93960 100000\n89841 100000\n48832 73156\n36474 54624\n36829 55142\n36336 54408\n9149 13757\n30735 46061\n45291 67803\n21688 32572\n21809 32754\n52694 78924\n47157 70601\n3140 4755\n50778 76080\n52351 78414\n80992 100000\n85327 100000\n45735 68466\n34210 51257\n4390 6625\n50527 75700\n2716 4114\n43294 64830\n96076 100000\n39928 59774\n99415 100000\n59771 89620\n54459 81583\n44543 66679\n63913 95864\n14630 22005\n6097 9198\n89510 100000\n28470 42683\n60897 91291\n70220 100000\n23253 34911\n24190 36301\n47284 70798\n50538 75717\n11383 17149\n16983 25494\n60149 90173\n10006 15054\n47422 71007\n63496 95219\n48958 73339\n65604 98403\n31329 46937\n14545 21877\n60368 90506\n58609 87835\n8475 12745\n83472 100000\n93520 100000\n37265 55794\n90126 100000\n45307 67824\n29042 43534\n12900 19417\n24859 37293\n29335 43959\n79035 100000\n10661 16045\n25241 37864\n56326 84395\n86142 100000\n23670 35532\n21450 32214\n90589 100000\n21334 32033\n34029 50983\n42194 63193\n82486 100000\n30150 45174\n61594 92357\n32233 48280\n79037 100000\n25263 37895\n93065 100000\n18009 27036\n153 222\n84400 100000\n8939 13445\n39635 59313\n43009 64400\n68448 100000\n91363 100000\n85820 100000\n13097 19711\n41029 61435\n15626 23485\n77588 100000\n37102 55548\n97697 100000\n16516 24803\n74007 100000\n33876 50749\n43697 65414\n83443 100000\n9707 14596\n2952 4470\n89843 100000\n80293 100000\n56311 84371\n98994 100000\n99301 100000\n51834 77649\n42088 63030\n95609 100000\n68447 100000\n34966 52358\n77399 100000\n64689 97026\n31923 47827\n17091 25653\n170 249\n87231 100000\n29003 43473\n3660 5513\n76251 100000\n96571 100000\n89089 100000\n60273 90362\n73724 100000\n69743 100000\n67126 100000\n80562 100000\n80905 100000\n17985 27000\n26639 39942\n18564 27868\n6468 9761\n7851 11820\n91688 100000\n41233 61748\n52597 78788\n21023 31575\n79768 100000\n4197 6337\n6413 9673\n66705 100000\n20865 31349\n65018 97530\n44539 66672\n26921 40358\n45403 67969\n5026 7585\n48415 72515\n28046 42050\n7408 11159\n45964 68814\n35116 52575\n29961 44883\n65422 98140\n75901 100000\n19105 28701\n80056 100000\n90980 100000\n5027 7587\n52392 78473\n96648 100000\n46341 69379\n47771 71522\n8785 13214\n64622 96929\n94286 100000\n13008 19583\n27037 40532\n45758 68503\n92322 100000\n86874 100000\n11781 17743\n17791 26709\n87228 100000\n56310 84370\n60045 90027\n59203 88737\n14583 21934\n89203 100000\n75963 100000\n60637 90916\n289 431\n3077 4661\n33671 50454\n52251 78259\n96964 100000\n19172 28807\n99517 100000\n78075 100000\n33785 50613\n1698 2551\n97686 100000\n56002 83908\n52366 78433\n12212 18380\n85801 100000\n21319 32011\n56633 84870\n14594 21948\n13187 19849\n81423 100000\n68681 100000\n60607 90866\n87780 100000\n16968 25471\n78843 100000\n78042 100000\n11693 17609\n29527 44240\n39461 59061\n37273 55805\n94421 100000\n68585 100000\n58416 87556\n86544 100000\n75998 100000\n22411 33665\n25633 38452\n31087 46568\n50792 76102\n21663 32535\n53375 79950\n86070 100000\n45521 68152\n53138 79594\n80070 100000\n5522 8334\n25267 37902\n17911 26889\n27481 41206\n56118 84085\n44286 66291\n86980 100000\n86713 100000\n72603 100000\n57110 85581\n41621 62327\n45875 68683\n48904 73263\n20951 31476\n55928 83793\n83393 100000\n63558 95317\n90711 100000\n35352 52925\n18135 27230\n27884 41799\n53596 80278\n31073 46547\n6887 10402\n56181 84181\n58441 87590\n54623 81827\n74087 100000\n67993 100000\n19772 29695\n71947 100000\n13350 20098\n1367 2044\n60498 90707\n74829 100000\n71237 100000\n44023 65891\n53551 80211\n12071 18165\n4858 7337\n23013 34556\n12147 18274\n21941 32953\n54565 81744\n51959 77827\n3599 5426\n34559 51760\n1781 2683\n18549 27847\n93140 100000\n46073 68971\n65008 97515\n57651 86406\n14088 21210\n8413 12659\n56608 84831\n52728 78977\n91784 100000\n60861 91240\n69869 100000\n21043 31606\n60276 90367\n19273 28961\n69137 100000\n59000 88426\n95048 100000\n1409 2105\n85803 100000\n62088 93109\n89462 100000\n60981 91419\n45071 67477\n58693 87966\n39973 59840\n73857 100000\n80936 100000\n51666 77400\n20418 30681\n38540 57695\n21482 32263\n66418 99615\n33254 49821\n58371 87484\n95001 100000\n40544 60705\n64635 96947\n99673 100000\n85365 100000\n6704 10125\n48264 72281\n45446 68036\n46062 68954\n60386 90535\n93688 100000\n52916 79263\n82185 100000\n43910 65727\n18078 27143\n86682 100000\n78702 100000\n25706 38565\n67226 100000\n42755 64026\n17742 26640\n32114 48104\n77986 100000\n20788 31233\n60916 91322\n52145 78097\n15214 22878\n20900 31401\n44886 67208\n72577 100000\n95898 100000\n56151 84135\n75843 100000\n45502 68121\n46524 69661\n63691 95525\n69878 100000\n24512 36785\n72168 100000\n75781 100000\n57065 85519\n49862 74712\n17898 26869\n92471 100000\n98095 100000\n79619 100000\n87627 100000\n50887 76236\n19619 29478\n76895 100000\n84087 100000\n90468 100000\n91505 100000\n75990 100000\n9320 14017\n60987 91430\n95593 100000\n98175 100000\n62927 94379\n25439 38162\n64652 96973\n17532 26324\n92164 100000\n74260 100000\n40116 60063\n80 118\n27838 41737\n10356 15584\n21696 32585\n51605 77314\n41682 62424\n90037 100000\n41540 62207\n90423 100000\n77745 100000\n51855 77677\n54786 82075\n50014 74939\n67795 100000\n18511 27788\n64257 96383\n66376 99557\n49506 74183\n38522 57671\n58480 87649\n86866 100000\n59620 89386\n77973 100000\n33757 50571\n58799 88129\n30213 45269\n85248 100000\n53891 80727\n36180 54168\n88975 100000\n59896 89804\n95574 100000\n44363 66411\n94934 100000\n5951 8994\n92191 100000\n19975 30013\n38280 57303\n64434 96647\n32758 49072\n11254 16959\n47013 70385\n99146 100000\n13534 20364\n19438 29208\n37995 56879\n83526 100000\n39713 59433\n79650 100000\n47188 70650\n90899 100000\n21975 33002\n81840 100000\n19345 29072\n75199 100000\n80151 100000\n45778 68530\n90436 100000\n93546 100000\n97403 100000\n1797 2709\n92510 100000\n63660 95476\n46348 69388\n49938 74822\n32449 48595\n82830 100000\n1653 2478\n28319 42460\n24269 36419\n63532 95279\n24461 36714\n19744 29656\n77943 100000\n99599 100000\n85002 100000\n28774 43131\n82136 100000\n57261 85807\n36662 54906\n95305 100000\n76533 100000\n52891 79225\n7637 11506\n11927 17948\n63137 94691\n80595 100000\n25281 37923\n28555 42813\n3505 5291\n8 11\n20638 31004\n38887 58207\n40736 60987\n19109 28708\n16566 24875\n21169 31796\n73902 100000\n16642 24976\n72388 100000\n56571 84770\n25187 37782\n11902 17912\n3215 4863\n1843 2779\n35876 53707\n59740 89570\n88658 100000\n93214 100000\n59449 89124\n47509 71135\n88847 100000\n90378 100000\n5821 8787\n29740 44560\n74445 100000\n97279 100000\n66351 99525\n54939 82299\n17933 26923\n15718 23622\n50325 75399\n46738 69978\n12532 18868\n11373 17134\n84948 100000\n19192 28835\n24085 36141\n39218 58707\n73050 100000\n69273 100000\n65454 98186\n40781 61057\n62889 94323\n90049 100000\n62732 94091\n19474 29263\n8683 13064\n71646 100000\n43454 65059\n67859 100000\n79204 100000\n76238 100000\n65125 97695\n29035 43522\n27564 41329\n92093 100000\n6389 9639\n65453 98185\n94992 100000\n53990 80880\n17608 26437\n42408 63513\n34267 51341\n3853 5806\n91331 100000\n42674 63902\n83469 100000\n24310 36481\n63249 94854\n71222 100000\n30249 45327\n29986 44922\n52937 79296\n61899 92817\n5173 7812\n78911 100000\n76499 100000\n10297 15493\n77744 100000\n55036 82435\n28411 42597\n19089 28675\n59225 88772\n64331 96495\n19334 29053\n914 1363\n76036 100000\n57781 86599\n98840 100000\n41424 62034\n83924 100000\n25291 37936\n12253 18444\n32290 48365\n95408 100000\n95791 100000\n81869 100000\n78567 100000\n82001 100000\n47144 70581\n35807 53595\n45431 68014\n59613 89378\n7717 11622\n84802 100000\n60933 91344\n42730 63988\n14625 21996\n6834 10325\n9654 14515\n61894 92809\n65225 97851\n69960 100000\n92099 100000\n77956 100000\n11614 17488\n51793 77588\n69013 100000\n21664 32537\n78382 100000\n31223 46783\n27578 41350\n90221 100000\n51850 77672\n77279 100000\n57529 86221\n41950 62824\n24382 36595\n8485 12762\n90889 100000\n76602 100000\n47806 71578\n78471 100000\n1763 2651\n72887 100000\n14648 22034\n40006 59891\n9282 13961\n12961 19512\n46522 69658\n23588 35410\n60200 90251\n57234 85762\n92030 100000\n33535 50242\n60708 91022\n93449 100000\n61654 92445\n69063 100000\n77034 100000\n86022 100000\n64121 96173\n11883 17887\n32325 48415\n47797 71563\n58276 87346\n74524 100000\n26089 39137\n44456 66548\n97696 100000\n90105 100000\n89464 100000\n81735 100000\n88609 100000\n20331 30546\n6870 10379\n33411 50057\n74526 100000\n13237 19926\n84804 100000\n94009 100000\n55913 83767\n85663 100000\n7187 10835\n50863 76204\n41247 61771\n25830 38758\n91747 100000\n73431 100000\n74319 100000\n62704 94043\n24385 36600\n54476 81609\n87795 100000\n41977 62863\n76402 100000\n99498 100000\n80433 100000\n22686 34068\n77494 100000\n33530 50234\n52882 79211\n94558 100000\n83090 100000\n55433 83047\n50434 75554\n50047 74989\n5159 7792\n8275 12456\n58367 87479\n66102 99152\n18442 27685\n85780 100000\n80985 100000\n71761 100000\n86604 100000\n35659 53387\n9105 13684\n50381 75483\n39128 58575\n36261 54293\n48983 73380\n96469 100000\n35079 52524\n22087 33174\n82455 100000\n65198 97811\n7985 12031\n73454 100000\n47532 71170\n14771 22220\n34033 50990\n32913 49313\n5897 8911\n39387 58954\n25759 38647\n53491 80119\n58186 87210\n93459 100000\n41243 61767\n71293 100000\n75424 100000\n59711 89526\n34629 51862\n70100 100000\n11458 17260\n52705 78940\n18426 27658\n11988 18038\n33371 49994\n52566 78744\n15266 22956\n73493 100000\n50375 75473\n33409 50053\n72908 100000\n39306 58830\n22809 34249\n46772 70027\n15309 23015\n88308 100000\n1987 3000\n5983 9042\n24618 36945\n64346 96520\n21870 32848\n62346 93495\n27475 41197\n25637 38458\n4513 6808\n65531 98297\n86230 100000\n92702 100000\n16348 24549\n54612 81812\n30711 46025\n33846 50705\n11678 17591\n1575 2360\n71930 100000\n18830 28274\n91180 100000\n46278 69291\n56622 84852\n30338 45462\n91164 100000\n38028 56927\n4747 7171\n34424 51574\n16965 25466\n62526 93774\n94777 100000\n9865 14843\n95396 100000\n26957 40409\n48118 72052\n92462 100000\n4293 6481\n44697 66924\n24227 36352\n93168 100000\n75858 100000\n3659 5511\n80650 100000\n24877 37321\n26198 39305\n96516 100000\n54330 81389\n43500 65127\n72916 100000\n26374 39566\n79365 100000\n14066 21172\n28592 42870\n60371 90512\n82075 100000\n25689 38539\n92582 100000\n95761 100000\n79648 100000\n46825 70102\n54556 81731\n70199 100000\n87246 100000\n4107 6198\n97685 100000\n45997 68861\n53782 80567\n39221 58711\n6835 10326\n34914 52281\n91717 100000\n70176 100000\n33510 50205\n42223 63234\n32091 48070\n10227 15388\n21935 32943\n30336 45460\n21632 32491\n64619 96926\n90050 100000\n46319 69346\n3183 4818\n37427 56026\n24594 36909\n47735 71469\n58145 87153\n91600 100000\n86435 100000\n85650 100000\n37112 55562\n24496 36763\n79631 100000\n387 583\n83409 100000\n93193 100000\n45860 68661\n26832 40226\n63228 94819\n76567 100000\n58262 87326\n15109 22724\n35864 53686\n94359 100000\n61927 92861\n42002 62897\n56257 84294\n5298 7996\n49373 73975\n20845 31317\n8139 12247\n57049 85492\n44318 66342\n13363 20118\n32110 48097\n58859 88221\n10115 15220\n70061 100000\n71460 100000\n97710 100000\n35983 53869\n61860 92756\n71432 100000\n88630 100000\n66244 99361\n90004 100000\n83278 100000\n91069 100000\n41184 61671\n49179 73679\n59094 88572\n36767 55058\n28399 42579\n86617 100000\n72106 100000\n16138 24235\n22359 33585\n21011 31558\n88125 100000\n40430 60530\n24747 37130\n87121 100000\n14087 21208\n41308 61862\n32328 48419\n13098 19713\n79958 100000\n47546 71188\n41313 61869\n42559 63735\n85295 100000\n58593 87811\n85276 100000\n73269 100000\n36869 55201\n83426 100000\n6513 9830\n17236 25871\n223 334\n42836 64145\n52272 78293\n33172 49690\n98684 100000\n886 1317\n10716 16130\n39013 58403\n76178 100000\n76606 100000\n33266 49840\n31885 47767\n62086 93106\n46321 69350\n31352 46972\n30266 45353\n88404 100000\n43782 65544\n4357 6574\n96050 100000\n74583 100000\n65347 98031\n68828 100000\n37874 56690\n70031 100000\n82836 100000\n24712 37083\n41376 61957\n65480 98220\n70102 100000\n10314 15518\n9878 14863\n83390 100000\n938 1402\n78679 100000\n71473 100000\n90487 100000\n77627 100000\n11023 16602\n12563 18914\n6842 10336\n98411 100000\n63024 94519\n83369 100000\n37153 55624\n84571 100000\n42683 63914\n55215 82709\n55847 83670\n82 121\n96053 100000\n71477 100000\n6227 9393\n85387 100000\n10218 15372\n16737 25116\n66659 99988\n33130 49627\n52682 78908\n87376 100000\n15261 22949\n52373 78444\n76782 100000\n1259 1885\n25553 38331\n68759 100000\n73713 100000\n6658 10047\n92665 100000\n39194 58672\n10531 15844\n40225 60221\n37971 56841\n1849 2790\n26311 39475\n58383 87505\n19834 29795\n12449 18740\n90797 100000\n13365 20121\n55645 83368\n54747 82018\n3236 4895\n77335 100000\n16261 24424\n12210 18376\n34246 51310\n64977 97471\n58768 88087\n47474 71081\n61710 92529\n3276 4954\n43983 65831\n57246 85782\n63722 95571\n94456 100000\n46769 70022\n40684 60913\n63086 94609\n8700 13087\n24340 36528\n11758 17708\n75731 100000\n71882 100000\n14859 22355\n54010 80911\n9947 14962\n86287 100000\n82378 100000\n75673 100000\n80397 100000\n51026 76449\n76902 100000\n12162 18300\n57233 85761\n56487 84638\n67265 100000\n38890 58212\n49432 74071\n9094 13664\n65581 98368\n75109 100000\n34934 52311\n63329 94970\n30405 45564\n97890 100000\n99425 100000\n85008 100000\n95539 100000\n49744 74533\n42757 64029\n53742 80501\n34652 51894\n5110 7720\n66008 99008\n78091 100000\n26857 40264\n69951 100000\n75940 100000\n60630 90906\n45804 68573\n71831 100000\n37804 56596\n57588 86318\n47077 70479\n52002 77887\n11726 17659\n35054 52487\n27232 40826\n17885 26851\n69153 100000\n56723 85005\n26130 39200\n53550 80210\n58398 87528\n12614 18992\n35147 52617\n58424 87566\n21723 32622\n80818 100000\n25572 38362\n38164 57130\n39188 58663\n37339 55901\n58318 87411\n32373 48485\n63520 95257\n49689 74446\n14698 22112\n56024 83940\n592 886\n44339 66374\n20582 30923\n22192 33338\n19753 29669\n32036 47989\n44166 66110\n96491 100000\n54974 82346\n15930 23930\n65446 98176\n17863 26820\n26852 40257\n14805 22272\n16840 25279\n13288 20005\n82583 100000\n91641 100000\n3099 4693\n12446 18735\n58124 87119\n30550 45781\n44617 66795\n30106 45105\n75724 100000\n79181 100000\n39653 59343\n88834 100000\n87628 100000\n38018 56912\n6752 10198\n69297 100000\n68521 100000\n20214 30371\n2478 3757\n30455 45640\n31371 47002\n9127 13722\n28259 42373\n94105 100000\n83477 100000\n30571 45814\n33934 50835\n25300 37949\n11689 17604\n80704 100000\n94037 100000\n28448 42652\n27327 40969\n43017 64411\n64841 97262\n73674 100000\n84459 100000\n62899 94335\n2671 4043\n40597 60784\n46551 69705\n51183 76690\n36239 54260\n73020 100000\n90963 100000\n36049 53969\n21770 32692\n69119 100000\n40200 60185\n34894 52252\n4974 7512\n43991 65843\n66511 99765\n48676 72912\n7625 11489\n25550 38326\n57445 86088\n67463 100000\n67317 100000\n67444 100000\n38 54\n37656 56368\n99009 100000\n99564 100000\n62276 93396\n31004 46449\n54704 81951\n71191 100000\n55766 83548\n95727 100000\n79377 100000\n20020 30078\n51947 77807\n96805 100000\n94078 100000\n91364 100000\n52246 78251\n40101 60039\n77064 100000\n31513 47208\n42615 63815\n62655 93968\n19361 29095\n72906 100000\n98361 100000\n48458 72579\n13094 19706\n4411 6655\n78340 100000\n22124 33231\n70155 100000\n92474 100000\n1127 1690\n89663 100000\n90309 100000\n44816 67101\n29593 44350\n46827 70105\n12083 18181\n79568 100000\n46662 69866\n61854 92747\n11982 18027\n15446 23221\n42756 64028\n3880 5844\n16830 25265\n74495 100000\n60778 91126\n74538 100000\n86074 100000\n50964 76357\n488 728\n54617 81819\n16024 24063\n95597 100000\n20277 30464\n42438 63555\n66399 99588\n66312 99465\n54890 82225\n85080 100000\n97684 100000\n39217 58705\n14836 22318\n8045 12116\n18852 28307\n97543 100000\n47233 70725\n93571 100000\n56152 84137\n18620 27952\n40765 61029\n18224 27361\n22287 33483\n53784 80571\n1691 2540\n40103 60043\n67495 100000\n95011 100000\n20104 30203\n56101 84059\n66070 99102\n4222 6375\n60971 91403\n64854 97282\n62691 94021\n30162 45191\n90788 100000\n72889 100000\n34085 51070\n10363 15595\n51403 77018\n94511 100000\n38772 58028\n89704 100000\n79287 100000\n83442 100000\n1258 1883\n51981 77858\n77257 100000\n85083 100000\n59942 89872\n14919 22444\n82450 100000\n7747 11670\n16606 24928\n48581 72764\n44932 67276\n42482 63622\n63347 94997\n84317 100000\n64703 97050\n46022 68895\n38452 57566\n48208 72195\n77561 100000\n52107 78042\n10289 15483\n9684 14563\n72114 100000\n58195 87221\n49474 74131\n66071 99104\n39834 59629\n20199 30348\n12598 18967\n42439 63556\n89609 100000\n61982 92954\n1568 2351\n79408 100000\n90870 100000\n55808 83609\n94288 100000\n64206 96306\n9468 14237\n5833 8807\n69797 100000\n1143 1715\n33507 50201\n19827 29784\n7578 11420\n9203 13843\n99665 100000\n15751 23670\n39117 58558\n26616 39910\n11380 17144\n14435 21717\n45500 68119\n84493 100000\n24581 36888\n48018 71904\n52970 79341\n65069 97610\n50764 76059\n74696 100000\n56767 85069\n28924 43356\n28452 42658\n41500 62146\n62995 94477\n29994 44936\n47555 71201\n23092 34672\n73131 100000\n62243 93344\n23726 35616\n34703 51967\n80446 100000\n60214 90273\n89046 100000\n18215 27348\n97259 100000\n31891 47776\n63409 95086\n31901 47793\n77104 100000\n51411 77032\n14106 21238\n13331 20064\n18423 27654\n38066 56985\n12514 18837\n38640 57832\n40732 60981\n1871 2824\n89904 100000\n71941 100000\n19333 29052\n85959 100000\n22540 33854\n41928 62792\n96390 100000\n61100 91605\n29439 44116\n27537 41288\n88619 100000\n93031 100000\n53945 80810\n2936 4444\n20935 31453\n98170 100000\n90721 100000\n58604 87828\n40805 61094\n37544 56201\n60310 90419\n4387 6620\n1241 1860\n63524 95264\n89397 100000\n7198 10852\n70821 100000\n53467 80086\n35434 53050\n66411 99604\n37059 55481\n3773 5685\n67302 100000\n53492 80120\n33864 50731\n93963 100000\n61464 92155\n62472 93697\n7613 11469\n20021 30080\n96709 100000\n17637 26484\n63379 95044\n42142 63109\n5902 8920\n94664 100000\n2562 3884\n408 614\n85783 100000\n81227 100000\n16400 24627\n82687 100000\n60724 91048\n83932 100000\n50668 75914\n97177 100000\n8342 12557\n66473 99705\n98799 100000\n83520 100000\n45447 68038\n85849 100000\n68364 100000\n38455 57571\n73533 100000\n96223 100000\n59863 89753\n81918 100000\n83508 100000\n49196 73704\n74457 100000\n34705 51970\n54879 82208\n53228 79720\n87784 100000\n90522 100000\n42352 63428\n64691 97029\n5694 8586\n92090 100000\n45427 68008\n45391 67951\n27961 41914\n33740 50546\n46666 69872\n13159 19807\n81872 100000\n4873 7364\n85709 100000\n12145 18272\n59651 89432\n82314 100000\n96080 100000\n97369 100000\n60349 90476\n90024 100000\n78932 100000\n64879 97321\n83307 100000\n29255 43837\n13282 19996\n86853 100000\n80597 100000\n81632 100000\n78709 100000\n10605 15959\n98377 100000\n21375 32101\n12226 18400\n18035 27075\n68512 100000\n17505 26283\n54238 81252\n8792 13226\n19206 28856\n68581 100000\n77052 100000\n9581 14407\n83266 100000\n50587 75792\n99664 100000\n13684 20593\n62082 93100\n9409 14146\n55329 82884\n20017 30075\n28639 42937\n7689 11582\n42954 64319\n96267 100000\n33770 50591\n19293 28992\n20124 30232\n72043 100000\n6438 9711\n43029 64429\n11783 17746\n9720 14615\n7074 10667\n77635 100000\n48823 73142\n36482 54636\n2339 3540\n10896 16407\n36942 55308\n88160 100000\n88327 100000\n24378 36589\n22704 34096\n40273 60295\n49703 74466\n82610 100000\n60746 91082\n52242 78246\n52862 79181\n8021 12080\n13919 20939\n56781 85091\n97522 100000\n32215 48252\n74384 100000\n24700 37067\n56124 84094\n91955 100000\n85611 100000\n32232 48279\n32617 48856\n77491 100000\n67789 100000\n21508 32301\n29456 44140\n64488 96724\n5606 8449\n87185 100000\n99729 100000\n28783 43144\n57377 85984\n86136 100000\n25931 38905\n29362 44000\n5468 8252\n64334 96500\n35652 53376\n84988 100000\n70211 100000\n13930 20954\n90612 100000\n2342 3546\n49573 74273\n79973 100000\n43923 65744\n53421 80015\n19767 29689\n97489 100000\n40594 60779\n88606 100000\n59456 89131\n70469 100000\n11656 17552\n1496 2238\n37135 55599\n79785 100000\n50277 75325\n58410 87548\n22275 33465\n64386 96574\n94154 100000\n5133 7751\n91819 100000\n42410 63516\n93676 100000\n11101 16725\n61164 91701\n62253 93361\n30531 45752\n84015 100000\n84006 100000\n68166 100000\n62626 93923\n78883 100000\n64939 97413\n33579 50305\n62694 94026\n9593 14421\n79214 100000\n17089 25649\n75187 100000\n68144 100000\n21442 32203\n66744 100000\n60772 91118\n1582 2370\n93883 100000\n93216 100000\n87523 100000\n55323 82875\n93052 100000\n58623 87857\n64387 96576\n97237 100000\n2235 3383\n22241 33412\n74204 100000\n81228 100000\n43770 65528\n17996 27016\n87661 100000\n46588 69762\n20268 30452\n95742 100000\n12868 19370\n47931 71769\n84747 100000\n86840 100000\n99833 100000\n84818 100000\n67564 100000\n87058 100000\n29881 44770\n44824 67112\n31063 46531\n94868 100000\n19816 29765\n75173 100000\n30985 46422\n71695 100000\n77784 100000\n98538 100000\n66700 100000\n4310 6505\n38556 57715\n99770 100000\n43266 64787\n8675 13051\n16450 24701\n25043 37572\n30329 45450\n49290 73840\n25041 37568\n67771 100000\n34787 52099\n56521 84692\n28157 42226\n63369 95028\n70830 100000\n24808 37213\n72328 100000\n35406 53002\n38259 57274\n99520 100000\n33675 50458\n12745 19183\n75367 100000\n54541 81708\n65129 97702\n25333 38001\n47153 70594\n9603 14435\n78550 100000\n16120 24208\n35926 53779\n56656 84906\n78515 100000\n93197 100000\n15585 23424\n92995 100000\n68834 100000\n18242 27388\n28818 43196\n41947 62819\n60174 90214\n52233 78232\n75589 100000\n16667 25012\n87206 100000\n80491 100000\n45644 68332\n78505 100000\n4661 7041\n87692 100000\n46400 69465\n1453 2170\n75778 100000\n4587 6927\n34441 51596\n36443 54578\n6972 10530\n8959 13475\n55647 83370\n49426 74063\n84967 100000\n51250 76788\n38328 57382\n32852 49215\n12402 18668\n92540 100000\n96043 100000\n62692 94023\n13122 19749\n19572 29404\n35945 53808\n5576 8409\n16170 24286\n18253 27404\n90983 100000\n93329 100000\n17025 25557\n66137 99204\n80224 100000\n83791 100000\n8964 13483\n55039 82440\n22338 33551\n66564 99845\n90946 100000\n51712 77468\n91234 100000\n56841 85184\n73907 100000\n49333 73908\n52957 79321\n87232 100000\n69604 100000\n58089 87069\n76870 100000\n54080 81021\n76372 100000\n42343 63415\n3232 4890\n51227 76752\n93944 100000\n73464 100000\n58365 87477\n20840 31309\n44413 66484\n92042 100000\n48078 72001\n55337 82899\n15253 22936\n14419 21695\n21320 32012\n43846 65634\n13030 19613\n63739 95597\n37130 55592\n98187 100000\n8663 13033\n51927 77778\n21562 32384\n21108 31708\n41948 62821\n80181 100000\n37106 55554\n20968 31501\n12411 18681\n92419 100000\n14752 22192\n77458 100000\n31888 47770\n18365 27573\n30690 45998\n86378 100000\n49826 74658\n12252 18443\n26550 39817\n87925 100000\n52411 78502\n355 535\n27144 40692\n2923 4425\n36858 55185\n8589 12925\n55339 82902\n61573 92327\n36484 54639\n50431 75548\n71773 100000\n26891 40315\n93903 100000\n86330 100000\n54621 81824\n9639 14493\n80745 100000\n89480 100000\n24416 36645\n31159 46679\n66761 100000\n80784 100000\n2187 3308\n25007 37516\n9135 13734\n47924 71760\n66894 100000\n66236 99350\n23146 34756\n40401 60486\n53027 79423\n50210 75226\n53025 79420\n95165 100000\n68141 100000\n9678 14553\n27667 41480\n67336 100000\n74121 100000\n92376 100000\n32988 49418\n82981 100000\n50334 75413\n49282 73830\n90343 100000\n4139 6245\n19869 29851\n4102 6190\n60989 91432\n49912 74787\n45356 67900\n11199 16876\n54243 81260\n21566 32389\n20576 30915\n15544 23365\n96402 100000\n63204 94784\n99631 100000\n66129 99191\n51231 76759\n82259 100000\n46455 69551\n71218 100000\n34444 51600\n85306 100000\n89246 100000\n22904 34392\n47308 70837\n95213 100000\n83402 100000\n21348 32058\n5515 8324\n21949 32966\n12860 19356\n32969 49391\n27568 41335\n35266 52795\n24513 36786\n85000 100000\n95054 100000\n33154 49663\n74391 100000\n56343 84423\n14584 21935\n16514 24799\n64951 97431\n89212 100000\n49427 74064\n33416 50065\n53347 79906\n72976 100000\n42395 63494\n95832 100000\n49099 73557\n77597 100000\n97609 100000\n50826 76149\n7224 10891\n84364 100000\n92860 100000\n38913 58246\n852 1267\n69530 100000\n77530 100000\n10764 16208\n83926 100000\n52043 77948\n90834 100000\n23148 34758\n11459 17261\n59934 89861\n33194 49727\n37306 55854\n15482 23272\n16398 24623\n47383 70950\n53953 80822\n3720 5601\n83249 100000\n10483 15769\n12700 19117\n42487 63631\n72690 100000\n32206 48238\n65407 98117\n42173 63161\n93705 100000\n34768 52068\n46672 69881\n67258 100000\n36045 53962\n24872 37313\n98149 100000\n91916 100000\n30939 46357\n92241 100000\n17711 26598\n71863 100000\n65749 98621\n47593 71260\n9688 14569\n6757 10207\n63790 95678\n52788 79069\n61460 92148\n70938 100000\n81258 100000\n50690 75948\n33632 50394\n86099 100000\n100 147\n47611 71286\n22868 34337\n5766 8699\n47558 71206\n75880 100000\n92225 100000\n8299 12493\n62315 93455\n58682 87949\n86639 100000\n250 376\n30077 45063\n81888 100000\n14269 21472\n82372 100000\n19640 29511\n54986 82363\n85444 100000\n793 1188\n63563 95325\n33265 49839\n92281 100000\n43765 65521\n52225 78220\n54624 81829\n59810 89672\n79997 100000\n82225 100000\n1743 2618\n26218 39334\n48712 72969\n34393 51527\n9599 14430\n87653 100000\n23543 35345\n9977 15009\n12679 19086\n89746 100000\n61214 91777\n55336 82897\n74107 100000\n98787 100000\n13082 19689\n94438 100000\n20915 31422\n97172 100000\n38305 57342\n45097 67520\n24615 36941\n39153 58608\n69081 100000\n89078 100000\n93978 100000\n74919 100000\n33378 50004\n87716 100000\n82999 100000\n18349 27548\n23374 35087\n54600 81793\n90643 100000\n67667 100000\n19555 29377\n78263 100000\n37708 56446\n34602 51823\n22720 34117\n22164 33292\n20898 31399\n80525 100000\n10379 15620\n94767 100000\n52114 78052\n13390 20156\n972 1457\n33156 49667\n63653 95467\n84315 100000\n6348 9575\n95254 100000\n20256 30436\n23003 34541\n20841 31311\n50223 75245\n88480 100000\n51826 77637\n72145 100000\n42038 62953\n76164 100000\n422 632\n53832 80640\n47084 70488\n9826 14783\n13676 20581\n54076 81015\n79599 100000\n10440 15711\n71216 100000\n55005 82390\n51525 77203\n53014 79404\n62307 93445\n72903 100000\n91868 100000\n48668 72900\n26953 40405\n5534 8352\n27603 41384\n13648 20543\n73710 100000\n94811 100000\n44215 66185\n16264 24429\n36535 54713\n36951 55317\n46271 69280\n37631 56330\n96471 100000\n76432 100000\n67358 100000\n53251 79757\n28955 43403\n92387 100000\n51038 76467\n22053 33122\n40155 60119\n67698 100000\n66378 99560\n98424 100000\n17415 26148\n20697 31095\n53202 79681\n26320 39484\n43271 64795\n41681 62422\n46514 69646\n80427 100000\n17036 25572\n38986 58360\n39215 58702\n86963 100000\n98062 100000\n9186 13816\n53648 80355\n90022 100000\n74282 100000\n96417 100000\n2768 4188\n62148 93201\n2651 4017\n888 1319\n6663 10055\n65369 98060\n32293 48369\n75854 100000\n20735 31158\n81858 100000\n95204 100000\n42 60\n46501 69625\n70007 100000\n71058 100000\n45057 67457\n23158 34770\n37663 56379\n64795 97191\n89833 100000\n79429 100000\n91380 100000\n33743 50551\n2546 3859\n72862 100000\n29181 43730\n51365 76964\n98103 100000\n59302 88896\n94091 100000\n16697 25061\n68682 100000\n38988 58363\n33985 50919\n75171 100000\n80300 100000\n46793 70054\n11131 16766\n66645 99967\n26981 40445\n35697 53441\n42124 63082\n12683 19094\n60440 90615\n64091 96129\n63066 94576\n35271 52805\n16016 24052\n78333 100000\n39413 58996\n64183 96268\n8961 13478\n1212 1813\n71006 100000\n97779 100000\n7570 11408\n68096 100000\n3537 5338\n74864 100000\n61425 92096\n58130 87128\n24317 36492\n28354 42511\n29705 44503\n47795 71559\n20818 31279\n83612 100000\n3453 5213\n25388 38083\n51410 77031\n22031 33084\n20287 30477\n14284 21495\n74459 100000\n29922 44833\n59684 89483\n60036 90016\n36564 54756\n31620 47370\n62545 93803\n9240 13900\n43565 65221\n10055 15127\n97683 100000\n86901 100000\n87296 100000\n56505 84667\n31682 47466\n45261 67758\n54073 81012\n19739 29650\n48682 72923\n58010 86948\n36681 54932\n5010 7561\n64058 96077\n30614 45881\n8872 13346\n87238 100000\n33437 50095\n30827 46192\n94198 100000\n25682 38529\n71687 100000\n10734 16159\n41935 62802\n49950 74843\n15729 23639\n15917 23911\n99120 100000\n77174 100000\n42075 63011\n6440 9715\n48899 73255\n55318 82867\n32745 49050\n90285 100000\n53211 79695\n84753 100000\n27054 40559\n67666 100000\n85173 100000\n31917 47819\n2497 3785\n61602 92369\n39539 59172\n50368 75464\n69644 100000\n8828 13280\n98639 100000\n22198 33347\n97359 100000\n25490 38238\n36791 55090\n46128 69053\n12724 19150\n49105 73566\n43432 65029\n43100 64536\n21085 31672\n51292 76851\n87029 100000\n9478 14252\n37906 56744\n7089 10689\n28316 42455\n75209 100000\n56833 85173\n58431 87576\n69919 100000\n70136 100000\n53734 80487\n88930 100000\n91658 100000\n24753 37138\n37647 56352\n18474 27732\n94119 100000\n29444 44124\n27662 41473\n48052 71958\n14560 21899\n5615 8465\n84132 100000\n75309 100000\n1336 1995\n93525 100000\n23807 35733\n74949 100000\n77153 100000\n1079 1617\n68901 100000\n61804 92671\n16716 25088\n39318 58851\n72004 100000\n96619 100000\n52243 78247\n21812 32760\n11076 16683\n30865 46249\n87960 100000\n55004 82389\n63932 95891\n35128 52591\n27272 40882\n86253 100000\n64555 96826\n12855 19349\n72964 100000\n25406 38110\n49052 73480\n87991 100000\n27511 41248\n8593 12932\n80188 100000\n11664 17566\n50735 76013\n58002 86935\n55095 82534\n13927 20951\n60323 90439\n93099 100000\n1425 2130\n9407 14143\n90262 100000\n1884 2845\n16969 25472\n88560 100000\n87420 100000\n65597 98391\n4300 6492\n73982 100000\n31133 46641\n39661 59354\n27446 41152\n58974 88390\n15780 23712\n72496 100000\n85263 100000\n26138 39212\n32571 48782\n18678 28038\n24472 36731\n43744 65489\n73038 100000\n65577 98363\n48214 72204\n15919 23913\n96389 100000\n23516 35305\n69067 100000\n20541 30863\n65379 98074\n64873 97312\n4570 6897\n2237 3386\n48132 72075\n88515 100000\n33159 49671\n97080 100000\n1403 2094\n37903 56739\n47702 71419\n98813 100000\n46859 70144\n81427 100000\n76619 100000\n4264 6440\n33148 49653\n74257 100000\n3144 4760\n39806 59582\n59735 89563\n64284 96423\n6502 9813\n42315 63371\n33331 49933\n81011 100000\n61680 92485\n17679 26554\n98110 100000\n41482 62124\n52025 77923\n56397 84503\n95903 100000\n58114 87102\n27411 41099\n5658 8531\n35484 53121\n62335 93481\n49646 74383\n29657 44438\n89130 100000\n79402 100000\n64392 96582\n93962 100000\n17069 25619\n43202 64688\n51408 77027\n84929 100000\n48629 72842\n29200 43754\n46404 69471\n15073 22672\n10290 15484\n56228 84250\n58838 88188\n76536 100000\n49100 73559\n48941 73315\n6701 10121\n782 1170\n49746 74535\n55206 82698\n23980 35986\n57471 86124\n93082 100000\n71692 100000\n20972 31506\n1556 2330\n92968 100000\n66047 99065\n89451 100000\n66763 100000\n52161 78119\n2278 3446\n48816 73133\n99184 100000\n96563 100000\n24525 36803\n73694 100000\n74782 100000\n23208 34846\n62489 93721\n22535 33847\n74131 100000\n20006 30060\n13822 20787\n15119 22737\n33850 50711\n60050 90033\n71454 100000\n71598 100000\n80349 100000\n3120 4724\n51405 77022\n8967 13487\n44028 65898\n91602 100000\n70519 100000\n5937 8970\n15611 23460\n39820 59608\n90878 100000\n63335 94980\n15790 23725\n45953 68795\n56592 84805\n49727 74508\n44670 66881\n33486 50168\n11074 16680\n57589 86319\n99627 100000\n67735 100000\n7866 11844\n22305 33508\n20440 30716\n14646 22031\n41113 61561\n69961 100000\n38544 57700\n39542 59176\n50614 75831\n38351 57416\n59761 89607\n99722 100000\n16952 25447\n23460 35217\n58913 88300\n81550 100000\n2431 3690\n64848 97273\n83649 100000\n7388 11131\n93153 100000\n48646 72867\n23917 35889\n88007 100000\n45306 67823\n27477 41199\n23518 35307\n84902 100000\n61561 92308\n8936 13439\n6720 10148\n10317 15524\n5585 8422\n23086 34664\n47382 70948\n90575 100000\n63325 94965\n57810 86643\n93999 100000\n52017 77910\n78003 100000\n79059 100000\n75036 100000\n4105 6195\n26369 39558\n29067 43570\n37824 56621\n71563 100000\n97040 100000\n27950 41899\n87151 100000\n54403 81497\n27435 41136\n17365 26071\n17597 26419\n17252 25894\n5774 8712\n30192 45235\n75295 100000\n55941 83812\n70038 100000\n8766 13188\n49768 74566\n64578 96863\n35097 52551\n16313 24500\n68497 100000\n75153 100000\n96623 100000\n41514 62166\n11867 17865\n83492 100000\n99132 100000\n73951 100000\n44536 66667\n46711 69941\n9300 13988\n9287 13968\n4434 6692\n59189 88714\n50763 76057\n39007 58394\n10839 16323\n94702 100000\n66952 100000\n86594 100000\n72295 100000\n2769 4189\n83464 100000\n44274 66277\n44392 66455\n11533 17371\n64833 97252\n97501 100000\n54417 81517\n35043 52471\n5251 7927\n26736 40086\n55444 83064\n82693 100000\n57124 85600\n61941 92886\n79247 100000\n78146 100000\n41322 61882\n56013 83924\n32042 47996\n12842 19331\n2755 4171\n23617 35451\n21270 31941\n47361 70919\n14159 21317\n28972 43429\n70283 100000\n95127 100000\n63287 94912\n11766 17721\n86823 100000\n60330 90447\n62991 94471\n70115 100000\n24024 36052\n49288 73838\n14242 21434\n5583 8420\n56042 83969\n12944 19487\n8621 12973\n19676 29559\n64780 97167\n51277 76828\n90489 100000\n14479 21777\n21028 31583\n41737 62503\n76242 100000\n89375 100000\n92760 100000\n36604 54815\n72451 100000\n5836 8810\n74329 100000\n50720 75993\n34370 51494\n19249 28924\n16476 24742\n6760 10213\n90701 100000\n90238 100000\n67885 100000\n33886 50764\n87392 100000\n68674 100000\n94207 100000\n63567 95330\n79159 100000\n37775 56551\n38905 58233\n38596 57773\n33317 49912\n33066 49537\n92668 100000\n76919 100000\n41439 62054\n17449 26198\n69524 100000\n53413 80005\n47844 71640\n65890 98837\n91841 100000\n68664 100000\n64919 97384\n57058 85508\n62816 94209\n85166 100000\n52405 78492\n86445 100000\n13853 20841\n94853 100000\n93771 100000\n384 579\n43486 65107\n31488 47169\n32510 48686\n35127 52589\n96379 100000\n19791 29725\n94695 100000\n67325 100000\n58436 87584\n39168 58634\n74563 100000\n16544 24845\n5232 7897\n39305 58829\n96360 100000\n31533 47235\n32001 47944\n87587 100000\n8729 13134\n25220 37834\n63503 95231\n42912 64257\n73147 100000\n56632 84868\n6852 10351\n17038 25575\n42013 62914\n45483 68094\n81114 100000\n63648 95458\n39528 59154\n1654 2479\n41572 62253\n43095 64528\n6958 10509\n7532 11352\n13655 20552\n45389 67948\n62634 93936\n39788 59551\n55869 83705\n17186 25795\n5181 7822\n62073 93084\n5079 7671\n25466 38207\n56 80\n3253 4919\n50377 75476\n98644 100000\n74626 100000\n21102 31699\n50551 75738\n44991 67360\n53214 79699\n23314 34998\n55202 82692\n81556 100000\n10523 15831\n74313 100000\n67980 100000\n16555 24860\n13319 20048\n91066 100000\n55975 83863\n49023 73436\n71414 100000\n79120 100000\n81532 100000\n78995 100000\n25736 38613\n78062 100000\n45152 67597\n78806 100000\n32147 48151\n46280 69293\n80856 100000\n84837 100000\n35163 52642\n58866 88229\n25234 37854\n55448 83068\n28594 42873\n96113 100000\n30693 46001\n37597 56282\n79271 100000\n66600 99900\n14802 22268\n76401 100000\n21596 32433\n19118 28721\n26587 39871\n37369 55942\n33640 50407\n43038 64440\n99340 100000\n46989 70344\n19007 28548\n74069 100000\n82316 100000\n26522 39778\n41295 61839\n81175 100000\n70322 100000\n28669 42982\n44642 66834\n54306 81353\n15448 23224\n92675 100000\n70048 100000\n20846 31319\n21183 31816\n35507 53155\n88927 100000\n60439 90613\n94707 100000\n40256 60268\n74161 100000\n79980 100000\n76331 100000\n3852 5804\n16101 24179\n63665 95485\n39011 58400\n69000 100000\n75298 100000\n5561 8387\n14579 21930\n46817 70090\n1994 3010\n1891 2856\n417 626\n73752 100000\n71143 100000\n75649 100000\n12551 18895\n56234 84258\n85139 100000\n73381 100000\n52327 78381\n59209 88747\n89389 100000\n10533 15847\n42876 64201\n21074 31654\n73277 100000\n29000 43469\n29326 43947\n11734 17670\n75614 100000\n95523 100000\n46743 69985\n44506 66623\n85218 100000\n21422 32173\n38131 57082\n64557 96829\n26502 39751\n18926 28422\n56279 84324\n22326 33533\n46295 69315\n99236 100000\n69568 100000\n10110 15213\n45570 68224\n50740 76022\n38496 57635\n83050 100000\n37474 56100\n8794 13228\n73815 100000\n98452 100000\n67973 100000\n65330 98006\n58497 87671\n79134 100000\n55534 83197\n64057 96075\n31699 47492\n16046 24095\n9016 13556\n81535 100000\n80678 100000\n25566 38351\n45568 68221\n74383 100000\n10536 15850\n46291 69309\n62964 94433\n95087 100000\n50397 75503\n67143 100000\n10575 15913\n63536 95287\n69496 100000\n34042 51003\n65522 98283\n97256 100000\n72056 100000\n71847 100000\n26034 39055\n21597 32435\n42530 63692\n47709 71430\n49369 73968\n49984 74895\n79076 100000\n48220 72213\n43179 64652\n81182 100000\n14022 21103\n55428 83040\n72904 100000\n421 631\n22000 33036\n79028 100000\n56649 84894\n29227 43797\n9284 13963\n95345 100000\n26278 39425\n93138 100000\n28663 42971\n49018 73429\n41909 62765\n83046 100000\n43523 65159\n83538 100000\n37667 56385\n60208 90265\n10928 16458\n33356 49971\n13230 19914\n98413 100000\n53584 80259\n99849 100000\n6394 9645\n69603 100000\n84950 100000\n67857 100000\n91561 100000\n72357 100000\n79118 100000\n6571 9917\n96820 100000\n32915 49315\n63841 95759\n58417 87557\n36040 53955\n27055 40560\n47086 70491\n62049 93051\n97834 100000\n58405 87540\n35925 53778\n19202 28851\n71336 100000\n32588 48807\n21582 32413\n58088 87067\n38438 57547\n89569 100000\n89815 100000\n20068 30147\n4156 6272\n24724 37101\n36706 54967\n20698 31097\n86332 100000\n74473 100000\n81841 100000\n64577 96862\n29344 43972\n84468 100000\n84066 100000\n46249 69243\n77255 100000\n33133 49631\n85749 100000\n4260 6432\n30857 46236\n81350 100000\n94155 100000\n14900 22417\n51280 76834\n41213 61717\n50626 75849\n81492 100000\n64943 97418\n49588 74295\n64276 96412\n42006 62904\n53726 80475\n97230 100000\n6822 10306\n3504 5290\n81210 100000\n37912 56751\n36757 55041\n875 1300\n34475 51645\n68432 100000\n35605 53307\n7633 11500\n88019 100000\n52354 78420\n81912 100000\n22521 33825\n99427 100000\n8269 12445\n8028 12090\n61626 92402\n62972 94444\n76501 100000\n77589 100000\n18129 27221\n74816 100000\n11697 17616\n6067 9159\n441 659\n60055 90039\n32322 48411\n9457 14221\n2601 3943\n5356 8085\n78954 100000\n46053 68942\n26695 40030\n47692 71407\n84090 100000\n29618 44385\n73924 100000\n43267 64788\n42342 63413\n37394 55977\n5375 8114\n87595 100000\n11344 17094\n3805 5733\n2760 4177\n12738 19175\n72157 100000\n54067 81001\n2587 3919\n77430 100000\n79433 100000\n95142 100000\n56208 84220\n73132 100000\n31491 47175\n9791 14725\n9319 14015\n47799 71566\n13086 19694\n10429 15694\n76274 100000\n5260 7940\n75542 100000\n95838 100000\n61381 92024\n17031 25566\n23857 35802\n54909 82253\n73393 100000\n7458 11238\n58919 88309\n24752 37137\n26105 39161\n83682 100000\n45929 68760\n41839 62669\n12142 18269\n7397 11142\n91160 100000\n17829 26768\n59106 88589\n74248 100000\n37378 55953\n46217 69191\n80406 100000\n22347 33566\n91720 100000\n6198 9355\n35296 52839\n58461 87620\n12834 19317\n96236 100000\n15323 23040\n4354 6571\n59604 89364\n8807 13250\n27966 41922\n13248 19946\n34426 51576\n87080 100000\n32846 49206\n1051 1577\n75484 100000\n46727 69963\n37416 56011\n28906 43330\n71801 100000\n57385 85994\n15213 22876\n81762 100000\n97379 100000\n61678 92481\n84311 100000\n39956 59815\n64339 96509\n13343 20086\n46086 68994\n65596 98390\n70273 100000\n45204 67675\n71295 100000\n3874 5835\n94192 100000\n33698 50488\n62784 94164\n38032 56933\n87917 100000\n8490 12770\n31339 46953\n80041 100000\n35426 53036\n90101 100000\n92772 100000\n25631 38450\n33741 50547\n78906 100000\n48486 72619\n26622 39920\n76577 100000\n67300 100000\n27362 41027\n71041 100000\n22902 34390\n65865 98799\n64680 97013\n44970 67331\n6889 10406\n27141 40687\n79298 100000\n81394 100000\n97150 100000\n95966 100000\n54075 81014\n73914 100000\n30126 45136\n91703 100000\n62399 93576\n60779 91127\n56172 84168\n98066 100000\n88165 100000\n2615 3965\n94130 100000\n90775 100000\n48277 72301\n19467 29252\n86056 100000\n1412 2110\n61737 92569\n77415 100000\n88632 100000\n60304 90408\n59467 89149\n52295 78326\n9100 13675\n3969 5979\n8137 12243\n97385 100000\n59186 88709\n64243 96363\n99961 100000\n37885 56708\n1935 2925\n99395 100000\n1275 1908\n38885 58205\n36228 54244\n66381 99563\n58975 88391\n98829 100000\n47442 71037\n91031 100000\n95606 100000\n6657 10046\n85717 100000\n37202 55697\n52154 78108\n53289 79820\n85386 100000\n30944 46363\n23621 35459\n15113 22730\n23309 34991\n49475 74132\n85215 100000\n51933 77787\n65334 98011\n65878 98818\n68657 100000\n33653 50427\n40531 60686\n65434 98158\n7635 11503\n1003 1504\n34784 52095\n50482 75627\n73800 100000\n3021 4578\n68110 100000\n501 746\n1942 2935\n41691 62438\n48449 72565\n70575 100000\n91748 100000\n70252 100000\n30186 45226\n20351 30576\n88915 100000\n25308 37961\n12607 18981\n69228 100000\n64374 96555\n88668 100000\n45823 68600\n32388 48504\n8647 13009\n83281 100000\n49860 74708\n95690 100000\n68153 100000\n45857 68656\n98308 100000\n99952 100000\n1792 2701\n86569 100000\n85630 100000\n53949 80817\n58625 87860\n48050 71954\n49400 74021\n58628 87864\n45923 68751\n83498 100000\n28215 42309\n43947 65779\n76872 100000\n14207 21384\n71923 100000\n5907 8929\n10088 15180\n89360 100000\n84832 100000\n89536 100000\n15282 22979\n36597 54805\n20493 30793\n67291 100000\n54149 81119\n41098 61539\n96191 100000\n88421 100000\n51557 77246\n70798 100000\n59524 89239\n4495 6781\n84824 100000\n15019 22597\n68676 100000\n386 582\n57811 86644\n18200 27325\n11217 16904\n14837 22320\n90785 100000\n57951 86860\n96172 100000\n4695 7088\n30838 46209\n73743 100000\n70874 100000\n44349 66389\n14137 21280\n37711 56451\n6056 9144\n20916 31423\n59959 89899\n4011 6045\n98159 100000\n51644 77369\n22316 33521\n18625 27959\n39134 58583\n15836 23793\n5639 8501\n68588 100000\n73744 100000\n30040 45008\n31044 46503\n15527 23341\n90096 100000\n65593 98385\n40927 61288\n66708 100000\n19681 29567\n28922 43353\n44271 66272\n11481 17290\n72218 100000\n16521 24811\n92997 100000\n37782 56562\n48454 72572\n9461 14228\n79100 100000\n44856 67163\n60538 90765\n60992 91435\n65210 97829\n52084 78011\n49076 73518\n10907 16427\n25600 38407\n31406 47052\n63396 95069\n85728 100000\n23758 35662\n40530 60684\n72416 100000\n36198 54198\n60881 91268\n81875 100000\n6302 9507\n30019 44975\n61653 92443\n98484 100000\n86041 100000\n15335 23059\n87626 100000\n93850 100000\n68938 100000\n20474 30764\n25587 38386\n39946 59800\n96084 100000\n15169 22815\n89063 100000\n76670 100000\n246 369\n89155 100000\n65709 98558\n93368 100000\n80409 100000\n78399 100000\n68848 100000\n43582 65243\n8382 12613\n58778 88099\n50726 76001\n63146 94702\n43730 65468\n35415 53015\n24291 36451\n59149 88654\n79597 100000\n2120 3202\n34527 51720\n86945 100000\n11014 16585\n44598 66761\n86276 100000\n16937 25428\n24065 36109\n28615 42904\n90733 100000\n89249 100000\n75476 100000\n58503 87681\n67261 100000\n45014 67393\n3955 5958\n11955 17988\n55434 83048\n48042 71941\n19649 29522\n50923 76294\n7332 11046\n59623 89390\n95366 100000\n73484 100000\n37025 55430\n74867 100000\n32284 48357\n17961 26964\n58437 87585\n20000 30050\n33471 50146\n18657 28008\n98373 100000\n77305 100000\n70070 100000\n19196 28841\n20404 30661\n98570 100000\n80616 100000\n6467 9760\n21866 32840\n29932 44845\n23156 34767\n1789 2697\n40310 60345\n8735 13142\n43543 65190\n92642 100000\n81139 100000\n6339 9566\n15259 22946\n64683 97017\n46559 69718\n59380 89018\n94242 100000\n51349 76939\n39693 59404\n14644 22027\n70704 100000\n99168 100000\n6543 9876\n25178 37768\n7858 11831\n24508 36781\n55369 82946\n76391 100000\n14938 22475\n53474 80096\n89953 100000\n73670 100000\n78981 100000\n41635 62351\n22723 34121\n57348 85941\n27632 41427\n6941 10482\n39535 59166\n14977 22533\n49897 74766\n86640 100000\n86078 100000\n16178 24299\n823 1232\n15147 22781\n95707 100000\n36068 53996\n67454 100000\n12880 19388\n27025 40514\n65761 98641\n7197 10850\n29262 43849\n51282 76837\n68694 100000\n5272 7958\n2504 3792\n3974 5989\n42424 63536\n89772 100000\n19768 29691\n21468 32243\n51196 76709\n96444 100000\n76627 100000\n31318 46921\n33962 50882\n66733 100000\n98465 100000\n35341 52905\n78455 100000\n61938 92880\n26071 39111\n47309 70839\n64986 97485\n72275 100000\n64199 96295\n41082 61514\n12898 19413\n54853 82172\n15950 23958\n85657 100000\n58966 88376\n66222 99332\n69793 100000\n88837 100000\n66712 100000\n29157 43701\n73093 100000\n68714 100000\n12506 18825\n34891 52249\n49580 74285\n72463 100000\n34680 51932\n50996 76404\n67393 100000\n69539 100000\n84423 100000\n9448 14206\n36229 54246\n69706 100000\n48910 73273\n32103 48087\n51520 77197\n39814 59597\n45728 68456\n71250 100000\n78122 100000\n87444 100000\n21536 32345\n62986 94466\n65221 97844\n990 1484\n56855 85204\n64198 96294\n22009 33051\n84604 100000\n32824 49175\n5797 8752\n49926 74805\n18121 27210\n57266 85816\n45752 68493\n51698 77449\n45412 67983\n80643 100000\n36148 54118\n8530 12832\n46952 70287\n90606 100000\n76169 100000\n81103 100000\n75239 100000\n56885 85248\n49080 73525\n53501 80131\n80848 100000\n49775 74577\n48302 72339\n5454 8232\n93456 100000\n62620 93915\n29414 44078\n25580 38374\n35259 52785\n60013 89977\n88452 100000\n46162 69106\n2860 4327\n65150 97737\n89940 100000\n16590 24908\n68183 100000\n50114 75085\n92424 100000\n10816 16290\n53053 79468\n95235 100000\n70051 100000\n19029 28581\n80742 100000\n69774 100000\n21227 31880\n38284 57310\n70564 100000\n72133 100000\n78780 100000\n88455 100000\n90806 100000\n87433 100000\n45911 68734\n66614 99920\n52082 78008\n31175 46705\n85116 100000\n58635 87875\n29999 44945\n95728 100000\n87229 100000\n14567 21912\n64073 96102\n16828 25262\n49346 73928\n10974 16522\n21360 32080\n34919 52286\n79606 100000\n71230 100000\n42035 62949\n17880 26844\n44168 66114\n32374 48486\n1513 2264\n31575 47297\n19183 28823\n79562 100000\n19338 29060\n57232 85759\n75967 100000\n52102 78036\n27519 41260\n37868 56679\n43650 65350\n91834 100000\n10686 16086\n84721 100000\n9798 14736\n91181 100000\n97820 100000\n9527 14325\n33365 49985\n29910 44814\n89890 100000\n40772 61042\n22382 33622\n67565 100000\n93853 100000\n77705 100000\n32790 49121\n82266 100000\n36918 55275\n13968 21016\n58329 87427\n81007 100000\n78732 100000\n98163 100000\n35167 52646\n64576 96860\n84421 100000\n75525 100000\n70292 100000\n86404 100000\n76296 100000\n63639 95442\n29928 44841\n48047 71951\n67151 100000\n73948 100000\n24720 37095\n48237 72240\n83271 100000\n54902 82243\n330 496\n16618 24943\n68769 100000\n52892 79227\n83608 100000\n92876 100000\n47506 71131\n3685 5551\n19945 29968\n16442 24689\n28540 42792\n24353 36550\n55790 83585\n75013 100000\n24864 37301\n33290 49876\n48898 73254\n93898 100000\n17539 26334\n13406 20183\n56569 84767\n2692 4079\n13585 20445\n4118 6213\n706 1054\n59444 89118\n53663 80377\n74586 100000\n27698 41523\n83405 100000\n55802 83600\n53998 80893\n27152 40704\n83702 100000\n10470 15753\n2391 3624\n19240 28912\n85487 100000\n74821 100000\n75058 100000\n57292 85857\n45044 67435\n7148 10776\n39248 58749\n30619 45888\n8830 13282\n33087 49567\n90688 100000\n56096 84053\n72848 100000\n44568 66717\n24714 37086\n30407 45567\n50109 75078\n29405 44064\n349 524\n25826 38752\n64477 96706\n24729 37107\n96663 100000\n22466 33746\n46724 69958\n27832 41727\n42761 64034\n65164 97760\n41461 62088\n40032 59931\n33642 50411\n66101 99150\n81283 100000\n3512 5299\n8361 12583\n94682 100000\n8331 12540\n12628 19012\n74482 100000\n59353 88974\n16672 25021\n6362 9595\n45816 68592\n62502 93739\n55744 83516\n81117 100000\n91371 100000\n33627 50388\n47295 70815\n51423 77048\n43351 64913\n50122 75096\n28321 42462\n76320 100000\n72252 100000\n35546 53221\n35988 53876\n35666 53397\n12337 18567\n57674 86441\n95118 100000\n49160 73649\n65850 98776\n34411 51553\n99448 100000\n78462 100000\n15810 23756\n39906 59741\n24505 36776\n42726 63982\n12057 18144\n45488 68101\n12033 18105\n48843 73171\n59679 89473\n85343 100000\n38498 57637\n7667 11549\n46552 69707\n14461 21753\n73485 100000\n43388 64965\n31706 47503\n20921 31430\n90794 100000\n75909 100000\n45424 68003\n34484 51658\n30258 45339\n90242 100000\n47917 71750\n83367 100000\n38998 58378\n75009 100000\n55759 83537\n68567 100000\n10305 15505\n5968 9019\n51653 77381\n18729 28111\n70671 100000\n97355 100000\n47409 70987\n27940 41885\n93046 100000\n71246 100000\n11724 17655\n57895 86773\n5670 8550\n31962 47884\n54064 80997\n41799 62604\n48544 72709\n551 825\n62280 93403\n63632 95432\n63425 95109\n73942 100000\n19061 28629\n91273 100000\n61392 92043\n57400 86017\n45943 68781\n63944 95909\n13402 20177\n12533 18869\n59847 89728\n11642 17533\n40746 61001\n49072 73512\n15350 23085\n59416 89077\n51076 76523\n78227 100000\n93371 100000\n15035 22619\n29214 43775\n90590 100000\n51187 76697\n11945 17972\n41142 61607\n34224 51281\n84064 100000\n90567 100000\n89577 100000\n10746 16177\n48952 73330\n89196 100000\n69933 100000\n74892 100000\n54420 81522\n52434 78539\n30283 45379\n71259 100000\n97496 100000\n55259 82778\n69044 100000\n14948 22493\n82539 100000\n2004 3024\n85148 100000\n66721 100000\n7062 10652\n98903 100000\n15769 23697\n64874 97314\n26807 40189\n4395 6632\n347 520\n80839 100000\n97429 100000\n12 17\n37514 56156\n79808 100000\n47769 71520\n88088 100000\n67159 100000\n46814 70085\n55707 83458\n81538 100000\n16681 25034\n58831 88178\n18359 27564\n93876 100000\n95843 100000\n38086 57016\n60400 90556\n36274 54313\n22593 33931\n55741 83511\n54101 81054\n54813 82114\n14466 21758\n42164 63143\n62881 94311\n62827 94226\n7207 10865\n96386 100000\n59555 89287\n55174 82647\n84003 100000\n44790 67065\n13875 20875\n80316 100000\n44917 67256\n26219 39335\n1313 1963\n81296 100000\n84427 100000\n16831 25266\n8389 12623\n74974 100000\n82540 100000\n90470 100000\n25099 37655\n78933 100000\n18584 27895\n32081 48056\n23359 35066\n1054 1581\n47903 71731\n44505 66622\n29216 43779\n49558 74251\n3775 5688\n69265 100000\n29282 43881\n25105 37663\n96312 100000\n84310 100000\n12718 19143\n54905 82248\n88082 100000\n764 1142\n21543 32355\n62594 93874\n23354 35058\n20555 30884\n35022 52438\n96473 100000\n54653 81873\n89012 100000\n43311 64854\n37246 55767\n9070 13629\n32810 49153\n17858 26812\n57118 85592\n17728 26620\n2352 3562\n71313 100000\n38157 57119\n77373 100000\n16123 24214\n70970 100000\n66764 100000\n23971 35971\n75289 100000\n31794 47633\n59730 89556\n46114 69034\n45672 68375\n33968 50890\n94863 100000\n22977 34501\n87235 100000\n72244 100000\n24686 37046\n9523 14320\n24607 36927\n62053 93057\n77018 100000\n66559 99836\n54932 82287\n45352 67893\n77665 100000\n83583 100000\n37482 56111\n16105 24184\n40857 61174\n46556 69713\n37008 55404\n36831 55145\n89562 100000\n88068 100000\n39448 59043\n32806 49147\n44625 66807\n65301 97965\n91257 100000\n73763 100000\n69404 100000\n93586 100000\n171 250\n39140 58591\n81878 100000\n55162 82629\n40421 60516\n17244 25883\n62829 94228\n9534 14336\n69338 100000\n83394 100000\n88823 100000\n63779 95660\n33083 49559\n66063 99090\n48907 73268\n21736 32642\n92504 100000\n89356 100000\n49527 74210\n43659 65361\n21467 32241\n85773 100000\n85477 100000\n56642 84883\n25858 38799\n75010 100000\n82869 100000\n60819 91182\n16795 25216\n95432 100000\n36679 54929\n43397 64978\n24942 37414\n22845 34306\n14638 22019\n74188 100000\n39951 59807\n21400 32139\n67728 100000\n36775 55069\n80162 100000\n48681 72921\n36410 54523\n1974 2981\n98476 100000\n53580 80253\n80546 100000\n27172 40734\n69925 100000\n60212 90270\n43225 64724\n69466 100000\n73027 100000\n72640 100000\n79248 100000\n68261 100000\n29076 43582\n56062 84000\n83319 100000\n59883 89784\n78084 100000\n25449 38179\n14800 22266\n39811 59591\n13845 20825\n4277 6457\n22859 34324\n67407 100000\n96430 100000\n56746 85037\n77489 100000\n93008 100000\n70024 100000\n26689 40021\n98407 100000\n38011 56901\n53815 80616\n77405 100000\n60000 89957\n92210 100000\n59594 89348\n12020 18085\n93642 100000\n47165 70615\n14547 21881\n78874 100000\n78270 100000\n29992 44934\n21196 31834\n10693 16098\n64001 95988\n96242 100000\n95570 100000\n80874 100000\n19807 29752\n11255 16961\n53894 80731\n50753 76042\n58028 86976\n25546 38320\n28644 42945\n5274 7961\n40974 61355\n32170 48186\n87732 100000\n81941 100000\n50020 74949\n50731 76008\n47393 70966\n49473 74129\n85006 100000\n71682 100000\n92957 100000\n79543 100000\n72277 100000\n96785 100000\n46364 69415\n45127 67560\n36921 55279\n7702 11600\n17893 26862\n1913 2892\n25386 38079\n94630 100000\n13639 20528\n95641 100000\n72999 100000\n99233 100000\n78985 100000\n20886 31379\n89245 100000\n97910 100000\n22703 34094\n1222 1828\n47182 70640\n32500 48671\n48992 73392\n53489 80117\n25627 38445\n4095 6181\n45563 68212\n64437 96650\n70139 100000\n82528 100000\n95008 100000\n72963 100000\n24619 36946\n40972 61353\n16356 24560\n77221 100000\n41620 62326\n14933 22468\n62319 93460\n10151 15272\n98793 100000\n13562 20409\n37156 55629\n31311 46908\n94711 100000\n85486 100000\n61053 91530\n30962 46388\n20177 30312\n7024 10601\n44986 67353\n61369 92008\n14520 21843\n99891 100000\n37791 56575\n73155 100000\n80113 100000\n27488 41215\n32516 48695\n39781 59538\n95411 100000\n41974 62857\n61132 91654\n71285 100000\n81177 100000\n14968 22520\n73175 100000\n19792 29727\n88768 100000\n14467 21759\n91394 100000\n15771 23700\n31781 47613\n27491 41220\n35298 52843\n73954 100000\n2286 3458\n905 1346\n43766 65523\n94481 100000\n23372 35085\n6605 9969\n79941 100000\n44984 67350\n55320 82870\n47914 71746\n40218 60212\n60810 91169\n14169 21333\n24566 36863\n55525 83182\n30979 46414\n88564 100000\n3398 5135\n57461 86110\n48885 73236\n32008 47952\n91817 100000\n58334 87434\n9539 14345\n8313 12513\n24666 37013\n63237 94833\n55390 82979\n32695 48974\n90712 100000\n24950 37425\n63495 95218\n29802 44655\n55599 83295\n5775 8714\n90305 100000\n16351 24553\n68770 100000\n70425 100000\n87594 100000\n91857 100000\n6032 9110\n306 458\n50696 75958\n12954 19501\n70404 100000\n18656 28006\n37770 56543\n51105 76568\n16298 24479\n52731 78982\n21455 32222\n97038 100000\n54115 81072\n56476 84622\n69002 100000\n60266 90351\n74444 100000\n57084 85544\n87162 100000\n14005 21074\n39706 59425\n69016 100000\n25075 37622\n56206 84217\n39003 58387\n10674 16067\n80199 100000\n69112 100000\n19385 29135\n99711 100000\n59434 89107\n32607 48839\n50741 76023\n60213 90271\n77662 100000\n11174 16839\n14323 21557\n89354 100000\n81559 100000\n2595 3932\n44634 66821\n63197 94771\n99433 100000\n21971 32998\n53318 79860\n33924 50822\n93831 100000\n87802 100000\n32601 48830\n74175 100000\n41552 62226\n42973 64352\n44025 65894\n40440 60548\n41145 61612\n22674 34048\n76560 100000\n78026 100000\n95648 100000\n47963 71819\n40335 60384\n60906 91307\n56318 84382\n59664 89452\n6546 9880\n34850 52185\n75600 100000\n81188 100000\n88027 100000\n94035 100000\n82651 100000\n22948 34459\n89351 100000\n42109 63060\n8904 13392\n23996 36011\n45088 67505\n33717 50513\n36721 54991\n24060 36101\n31499 47187\n59943 89874\n8853 13319\n56170 84164\n27994 41966\n75834 100000\n23127 34726\n9205 13846\n35126 52588\n66368 99548\n96526 100000\n34854 52190\n40791 61074\n72863 100000\n34791 52106\n99045 100000\n86235 100000\n71778 100000\n68897 100000\n94975 100000\n99317 100000\n21406 32148\n97937 100000\n74741 100000\n93655 100000\n9158 13771\n77782 100000\n74621 100000\n37769 56541\n7833 11795\n17662 26527\n17772 26683\n3050 4623\n91705 100000\n17076 25631\n14379 21639\n90941 100000\n10824 16303\n31865 47739\n23967 35965\n30709 46022\n6237 9408\n67904 100000\n97140 100000\n87034 100000\n54529 81691\n13904 20918\n74703 100000\n30134 45150\n74880 100000\n98772 100000\n33407 50050\n16470 24731\n38194 57176\n42478 63616\n96784 100000\n13781 20729\n9075 13636\n83003 100000\n11284 17006\n81375 100000\n18686 28048\n49612 74334\n82286 100000\n18801 28225\n43419 65012\n88118 100000\n11183 16851\n9795 14733\n69205 100000\n6263 9445\n83013 100000\n33185 49712\n74649 100000\n7562 11397\n73805 100000\n65760 98640\n36982 55368\n60523 90745\n83198 100000\n24046 36084\n51562 77255\n66489 99731\n23317 35002\n17426 26164\n39794 59561\n92695 100000\n90388 100000\n52499 78642\n55219 82716\n78292 100000\n63389 95058\n9119 13707\n91944 100000\n6234 9403\n95784 100000\n76394 100000\n30558 45795\n90230 100000\n59214 88754\n94142 100000\n89082 100000\n41017 61419\n53314 79853\n15260 22947\n29135 43669\n29711 44515\n64485 96719\n49208 73721\n29982 44917\n94721 100000\n29506 44212\n64953 97434\n96000 100000\n39513 59134\n32606 48838\n12161 18298\n34207 51253\n42371 63461\n41044 61457\n85071 100000\n39812 59593\n49421 74055\n53965 80842\n45098 67521\n90803 100000\n94742 100000\n60427 90596\n82484 100000\n17059 25604\n74732 100000\n93269 100000\n5321 8030\n43645 65343\n36716 54983\n90174 100000\n70218 100000\n4446 6711\n14895 22411\n74848 100000\n61659 92451\n51739 77506\n6331 9551\n11553 17399\n82591 100000\n76472 100000\n17574 26385\n86127 100000\n76001 100000\n42812 64107\n97500 100000\n55598 83294\n89694 100000\n35522 53179\n689 1031\n23687 35559\n50420 75534\n320 478\n79383 100000\n73617 100000\n39242 58741\n75832 100000\n95845 100000\n82141 100000\n682 1021\n62516 93759\n49749 74540\n27067 40577\n24764 37154\n34260 51330\n70811 100000\n11088 16702\n2045 3087\n4732 7146\n83321 100000\n13635 20523\n22431 33691\n61205 91763\n69142 100000\n81033 100000\n70982 100000\n29750 44574\n62826 94224\n58915 88302\n22707 34101\n78229 100000\n62822 94219\n33361 49979\n68850 100000\n21211 31857\n50044 74986\n19445 29219\n21997 33032\n92626 100000\n45694 68408\n98054 100000\n16647 24982\n16012 24048\n94635 100000\n53387 79968\n95940 100000\n50975 76373\n34743 52029\n65277 97930\n42180 63171\n93693 100000\n62913 94356\n7311 11017\n88906 100000\n80854 100000\n79105 100000\n31051 46514\n4329 6533\n5087 7685\n96029 100000\n73984 100000\n49448 74094\n91243 100000\n10390 15634\n4489 6773\n3042 4614\n33639 50405\n99822 100000\n61719 92542\n26602 39892\n42613 63812\n78718 100000\n34394 51528\n67741 100000\n2217 3353\n57851 86703\n3521 5314\n91831 100000\n93314 100000\n19833 29793\n92513 100000\n85947 100000\n4010 6044\n28019 42007\n37019 55421\n43545 65193\n73804 100000\n57522 86210\n73461 100000\n92614 100000\n41070 61496\n8912 13402\n28777 43136\n25799 38710\n52387 78466\n18804 28230\n31846 47706\n73129 100000\n16059 24115\n81432 100000\n90514 100000\n9564 14382\n65361 98051\n99942 100000\n47634 71319\n9971 15001\n6113 9225\n29117 43643\n27855 41758\n75505 100000\n74218 100000\n76172 100000\n35981 53866\n69620 100000\n4802 7251\n52047 77955\n29167 43713\n47923 71759\n71735 100000\n81434 100000\n32009 47953\n33895 50778\n36545 54727\n74713 100000\n75147 100000\n18969 28491\n27393 41073\n18037 27079\n53799 80592\n78694 100000\n18834 28280\n12652 19048\n76630 100000\n78475 100000\n60126 90140\n52767 79035\n9197 13832\n11740 17682\n99799 100000\n9608 14442\n37859 56668\n16200 24330\n15219 22884\n60698 91006\n87830 100000\n7171 10809\n5487 8279\n76977 100000\n82652 100000\n1827 2756\n43513 65147\n45477 68084\n72813 100000\n75030 100000\n91410 100000\n47838 71629\n90150 100000\n22345 33562\n4717 7122\n73672 100000\n54555 81729\n52325 78378\n6209 9369\n87193 100000\n49769 74567\n22705 34097\n54477 81611\n4183 6319\n81852 100000\n59974 89918\n91337 100000\n72981 100000\n18392 27610\n98152 100000\n12011 18072\n58698 87974\n52174 78140\n10417 15677\n51512 77184\n78458 100000\n67867 100000\n92261 100000\n31841 47699\n55624 83335\n44812 67096\n93879 100000\n78064 100000\n44442 66524\n55407 83007\n40464 60584\n69686 100000\n26099 39154\n79622 100000\n44410 66480\n60339 90461\n11813 17792\n80434 100000\n40376 60450\n56758 85056\n31085 46565\n45689 68399\n68601 100000\n95924 100000\n72548 100000\n33469 50143\n91774 100000\n29066 43569\n86622 100000\n39015 58406\n64449 96666\n4926 7440\n33831 50682\n66231 99343\n12642 19034\n85378 100000\n28295 42425\n89148 100000\n9986 15021\n93490 100000\n6444 9722\n96758 100000\n96824 100000\n7631 11497\n74387 100000\n41707 62459\n22565 33891\n99929 100000\n8436 12692\n31960 47880\n53666 80382\n28880 43291\n77940 100000\n77892 100000\n91653 100000\n6673 10072\n47216 70698\n61740 92574\n30487 45685\n19870 29853\n90433 100000\n3845 5794\n80158 100000\n76203 100000\n10656 16037\n30078 45064\n40413 60504\n37585 56263\n2279 3447\n37534 56187\n370 560\n43995 65848\n2818 4259\n16094 24167\n12810 19282\n41523 62180\n40209 60201\n15629 23488\n53165 79628\n34577 51785\n47881 71696\n83226 100000\n4152 6266\n95323 100000\n21867 32842\n6385 9634\n28292 42421\n23837 35772\n11248 16950\n93044 100000\n62544 93801\n90057 100000\n42782 64064\n40822 61119\n38129 57079\n29450 44131\n19719 29619\n79057 100000\n93298 100000\n42265 63297\n90833 100000\n54009 80909\n13504 20318\n96791 100000\n95526 100000\n23113 34702\n16051 24103\n26067 39104\n5789 8738\n60167 90203\n45609 68281\n37087 55527\n19992 30038\n76943 100000\n14949 22495\n29232 43803\n15834 23789\n15062 22657\n33323 49921\n18779 28190\n68922 100000\n38741 57978\n46903 70215\n88722 100000\n69768 100000\n44512 66630\n45879 68690\n71060 100000\n643 959\n84010 100000\n54496 81641\n95628 100000\n74147 100000\n11110 16736\n80147 100000\n1378 2060\n89924 100000\n9946 14960\n89113 100000\n60522 90744\n6602 9966\n34 49\n1831 2761\n75358 100000\n26675 39995\n85074 100000\n54485 81624\n98736 100000\n7598 11445\n66662 99993\n1628 2440\n72341 100000\n22953 34466\n46292 69311\n21157 31778\n82400 100000\n26544 39809\n55572 83257\n13557 20401\n20069 30148\n41869 62713\n60899 91295\n97592 100000\n33594 50329\n40203 60190\n67910 100000\n36617 54833\n88492 100000\n13132 19766\n78015 100000\n33165 49678\n40397 60479\n80692 100000\n70459 100000\n24218 36340\n97976 100000\n61207 91766\n3876 5838\n47480 71090\n88095 100000\n26941 40387\n562 842\n63011 94498\n91073 100000\n57586 86314\n57547 86250\n71214 100000\n2420 3673\n95463 100000\n48030 71923\n56551 84739\n25654 38485\n66431 99633\n33000 49436\n58457 87615\n35209 52704\n45786 68544\n5428 8191\n73389 100000\n92256 100000\n33030 49481\n27304 40933\n40701 60938\n7426 11187\n72443 100000\n49069 73507\n51872 77699\n93682 100000\n32487 48651\n43248 64761\n14740 22174\n91226 100000\n54278 81314\n33512 50207\n85345 100000\n56832 85171\n76867 100000\n26563 39837\n38150 57109\n83574 100000\n45775 68527\n66053 99073\n7890 11882\n70198 100000\n6213 9375\n7258 10938\n63627 95424\n67635 100000\n41722 62483\n61314 91924\n4958 7488\n9 13\n70850 100000\n48895 73250\n31188 46727\n30289 45390\n75458 100000\n30902 46301\n75562 100000\n77020 100000\n83905 100000\n1201 1799\n83490 100000\n15852 23815\n58297 87379\n72617 100000\n61469 92164\n88279 100000\n45486 68098\n54776 82061\n59661 89448\n58529 87720\n45826 68604\n76949 100000\n90591 100000\n90672 100000\n63849 95771\n36536 54714\n71100 100000\n56167 84160\n37368 55940\n28583 42857\n30227 45291\n72942 100000\n63775 95654\n76595 100000\n85633 100000\n62174 93240\n80931 100000\n14248 21443\n60194 90243\n50489 75639\n21080 31664\n58873 88241\n20756 31188\n22427 33686\n23289 34962\n22721 34118\n44272 66274\n37532 56184\n80960 100000\n26384 39580\n19893 29888\n94356 100000\n34352 51466\n49074 73515\n24597 36912\n58099 87082\n37365 55936\n55070 82489\n17510 26291\n54153 81126\n54059 80988\n28194 42279\n81066 100000\n63305 94938\n50840 76170\n71701 100000\n19993 30040\n97984 100000\n51518 77193\n6920 10451\n79138 100000\n88467 100000\n73288 100000\n36641 54873\n68411 100000\n22454 33728\n18718 28099\n96789 100000\n26709 40048\n49502 74177\n206 306\n54732 81990\n92696 100000\n58411 87549\n75195 100000\n65211 97831\n94977 100000\n2246 3399\n94512 100000\n99990 100000\n73159 100000\n33723 50521\n7675 11560\n50669 75915\n80213 100000\n60327 90444\n18815 28250\n97122 100000\n95356 100000\n14214 21395\n43551 65202\n78706 100000\n66968 100000\n14691 22101\n57711 86500\n19272 28960\n78742 100000\n22062 33134\n20511 30818\n98193 100000\n26429 39645\n84916 100000\n87040 100000\n8849 13313\n59577 89323\n10190 15331\n36532 54710\n65973 98957\n22284 33479\n17165 25766\n21962 32986\n42855 64170\n7852 11821\n37060 55483\n34218 51271\n60335 90455\n12127 18247\n64753 97122\n63414 95095\n53594 80275\n65156 97747\n19313 29019\n69719 100000\n72783 100000\n39819 59606\n54049 80973\n22043 33105\n44588 66744\n9930 14938\n26404 39611\n70426 100000\n91482 100000\n46286 69301\n11355 17108\n93671 100000\n11511 17338\n90149 100000\n33374 49999\n73519 100000\n47697 71413\n4345 6559\n84825 100000\n23437 35182\n36256 54284\n11558 17406\n90572 100000\n9451 14212\n64379 96563\n92320 100000\n68066 100000\n12054 18140\n45416 67989\n743 1110\n14706 22124\n83989 100000\n23326 35014\n15528 23343\n67636 100000\n46461 69560\n32474 48634\n52565 78743\n91973 100000\n64429 96640\n37411 56004\n77401 100000\n8745 13158\n45212 67688\n29445 44125\n89010 100000\n69116 100000\n54681 81917\n23829 35762\n41327 61889\n12660 19057\n9453 14215\n42503 63655\n99898 100000\n27178 40742\n72552 100000\n11305 17038\n34235 51297\n96544 100000\n91170 100000\n35787 53570\n74207 100000\n13664 20564\n86051 100000\n11430 17220\n91225 100000\n1896 2864\n99786 100000\n93530 100000\n72961 100000\n36471 54619\n25462 38199\n59678 89472\n27705 41535\n76443 100000\n3469 5236\n92735 100000\n94771 100000\n96647 100000\n68594 100000\n80351 100000\n17047 25588\n99432 100000\n39308 58834\n19505 29308\n99017 100000\n73010 100000\n7709 11610\n59705 89516\n82137 100000\n94538 100000\n13524 20348\n12287 18494\n74152 100000\n71431 100000\n41094 61533\n79835 100000\n64507 96753\n78353 100000\n26749 40104\n41000 61394\n8502 12790\n538 805\n73590 100000\n50948 76335\n34985 52385\n4760 7189\n82435 100000\n32418 48548\n6420 9684\n69626 100000\n67315 100000\n83563 100000\n98729 100000\n18965 28484\n30670 45970\n84236 100000\n65351 98037\n34388 51521\n75433 100000\n39133 58582\n35278 52815\n4478 6754\n32771 49092\n99502 100000\n33788 50618\n26190 39294\n52870 79193\n32002 47945\n18689 28053\n74122 100000\n90226 100000\n31447 47108\n54062 80994\n34980 52377\n58738 88036\n40312 60348\n36081 54018\n86017 100000\n55238 82745\n58984 88404\n26970 40430\n9209 13851\n92017 100000\n41619 62325\n51085 76536\n59081 88549\n85508 100000\n14688 22095\n76148 100000\n82063 100000\n2417 3669\n49865 74716\n6778 10238\n50766 76062\n85359 100000\n69649 100000\n31738 47550\n68010 100000\n34008 50948\n4839 7307\n6549 9885\n10690 16093\n91445 100000\n11252 16955\n28897 43318\n73956 100000\n87555 100000\n98861 100000\n48577 72760\n17550 26350\n9074 13634\n5982 9041\n44092 65991\n24760 37148\n52790 79072\n1085 1628\n99352 100000\n55541 83207\n88161 100000\n94139 100000\n8374 12602\n34795 52110\n30537 45760\n75653 100000\n62765 94137\n17859 26813\n88909 100000\n10073 15154\n26859 40267\n75103 100000\n57277 85832\n33372 49996\n35207 52702\n41663 62393\n28863 43266\n3054 4628\n79985 100000\n44218 66191\n99397 100000\n38824 58111\n48157 72113\n55181 82659\n27146 40695\n54293 81336\n51131 76605\n36452 54590\n28056 42065\n20218 30377\n84004 100000\n18599 27918\n13341 20083\n55399 82993\n43014 64407\n83647 100000\n16889 25354\n11568 17420\n93066 100000\n76873 100000\n63063 94572\n63938 95901\n73377 100000\n76625 100000\n29837 44707\n96760 100000\n22822 34270\n37734 56484\n94304 100000\n26007 39013\n62 88\n91143 100000\n87528 100000\n34662 51908\n90249 100000\n20610 30963\n7030 10608\n75193 100000\n31258 46834\n45371 67922\n83283 100000\n28805 43175\n61997 92975\n71270 100000\n86165 100000\n60784 91133\n99862 100000\n27614 41399\n41810 62624\n99562 100000\n45032 67418\n91276 100000\n31169 46695\n1358 2030\n53385 79965\n26281 39430\n34458 51618\n99336 100000\n35197 52688\n44716 66954\n16598 24919\n90823 100000\n38312 57353\n37486 56117\n63873 95807\n16159 24269\n21184 31818\n74672 100000\n34418 51563\n65315 97985\n98195 100000\n77338 100000\n63307 94941\n3018 4573\n64574 96857\n22763 34184\n13609 20480\n42362 63447\n40107 60049\n55747 83520\n4624 6985\n95132 100000\n20328 30540\n32728 49025\n39278 58792\n81353 100000\n2602 3944\n63780 95661\n62493 93725\n72952 100000\n23762 35666\n28543 42796\n34130 51136\n73281 100000\n90931 100000\n14213 21394\n14619 21987\n27753 41604\n47574 71232\n11649 17544\n57258 85802\n80889 100000\n69891 100000\n28967 43423\n30534 45755\n59063 88523\n77525 100000\n18550 27849\n8172 12297\n67475 100000\n23362 35070\n77398 100000\n92418 100000\n11759 17709\n20527 30840\n14969 22521\n73421 100000\n93770 100000\n41567 62247\n23584 35404\n88737 100000\n14936 22473\n37527 56176\n25365 38048\n45012 67389\n87043 100000\n50593 75801\n9743 14650\n40626 60830\n57955 86866\n53236 79733\n14530 21857\n34276 51356\n82760 100000\n51821 77630\n28896 43316\n57805 86637\n44117 66034\n21973 33000\n59868 89762\n17502 26279\n89835 100000\n52440 78551\n49517 74197\n86200 100000\n77979 100000\n80948 100000\n88690 100000\n89403 100000\n27069 40580\n61008 91460\n66726 100000\n6060 9149\n29567 44307\n5093 7695\n82726 100000\n52106 78041\n13060 19661\n82616 100000\n24510 36783\n19647 29520\n94406 100000\n88773 100000\n69633 100000\n81330 100000\n74119 100000\n49699 74460\n49778 74582\n78907 100000\n3663 5516\n37404 55991\n8816 13263\n78605 100000\n66800 100000\n21107 31706\n81796 100000\n36427 54553\n98661 100000\n27088 40609\n69019 100000\n14264 21466\n43474 65089\n35677 53410\n30573 45817\n52153 78107\n85237 100000\n96910 100000\n17928 26913\n33652 50425\n3025 4585\n88096 100000\n63526 95267\n92433 100000\n7214 10876\n75839 100000\n5211 7869\n63935 95896\n87266 100000\n60170 90208\n54141 81108\n79913 100000\n65720 98575\n88623 100000\n21342 32046\n69682 100000\n44342 66379\n46792 70052\n85907 100000\n81567 100000\n38290 57319\n13988 21048\n52864 79184\n63562 95323\n22480 33767\n75234 100000\n77499 100000\n79759 100000\n58904 88286\n84069 100000\n60886 91274\n17328 26012\n54492 81636\n34339 51445\n94368 100000\n36355 54439\n9973 15004\n54796 82093\n54984 82360\n58673 87933\n96823 100000\n5004 7553\n10043 15111\n80893 100000\n98756 100000\n47215 70696\n69693 100000\n47940 71783\n58842 88193\n78492 100000\n66933 100000\n88284 100000\n81788 100000\n65287 97943\n24726 37104\n50077 75033\n28180 42261\n89022 100000\n50202 75213\n47189 70651\n602 901\n85521 100000\n67532 100000\n53311 79849\n98928 100000\n5624 8478\n14653 22041\n56837 85178\n82754 100000\n84906 100000\n69697 100000\n87735 100000\n39175 58644\n23130 34730\n6944 10488\n87046 100000\n95891 100000\n27574 41343\n94920 100000\n73325 100000\n75659 100000\n89566 100000\n44053 65934\n48822 73141\n68234 100000\n18352 27553\n74819 100000\n42166 63147\n31466 47137\n44198 66157\n86013 100000\n41959 62837\n34104 51100\n42668 63893\n78119 100000\n24954 37432\n40786 61064\n87747 100000\n66393 99578\n73246 100000\n94239 100000\n36810 55118\n57924 86819\n73233 100000\n89961 100000\n53376 79951\n91004 100000\n26843 40241\n25764 38655\n49770 74569\n79692 100000\n46985 70337\n98322 100000\n11873 17873\n50142 75126\n80930 100000\n12781 19241\n91388 100000\n41337 61902\n40407 60495\n6914 10443\n69890 100000\n29141 43678\n3081 4667\n49786 74595\n11841 17830\n81166 100000\n24897 37352\n54967 82336\n42188 63184\n33103 49589\n6723 10153\n17548 26347\n71079 100000\n89290 100000\n81183 100000\n8517 12813\n91734 100000\n1790 2699\n79553 100000\n43170 64639\n64602 96899\n11398 17171\n50229 75253\n50089 75049\n45230 67714\n5529 8343\n4231 6388\n6465 9757\n11727 17660\n45532 68166\n19733 29640\n26026 39043\n36328 54395\n72817 100000\n50574 75774\n54050 80974\n46494 69612\n37048 55465\n90026 100000\n63654 95469\n28949 43394\n17869 26827\n32574 48786\n33318 49913\n5018 7572\n19548 29367\n61280 91877\n35192 52681\n59441 89115\n89234 100000\n15480 23270\n31608 47352\n58988 88411\n38048 56957\n82680 100000\n49875 74733\n62022 93013\n35368 52946\n33626 50386\n54366 81444\n28331 42476\n48819 73137\n4462 6731\n80087 100000\n25658 38492\n28033 42029\n49017 73428\n38981 58351\n67093 100000\n16775 25181\n89450 100000\n22003 33042\n79852 100000\n82335 100000\n72287 100000\n1991 3005\n91919 100000\n84546 100000\n2301 3480\n47699 71415\n25246 37871\n41807 62619\n89467 100000\n87873 100000\n50989 76393\n20568 30905\n63288 94913\n58266 87331\n79731 100000\n15395 23149\n35361 52937\n13545 20383\n21125 31733\n39468 59068\n53080 79508\n86348 100000\n24473 36733\n74923 100000\n15672 23550\n8326 12532\n16193 24321\n11560 17410\n37080 55516\n71383 100000\n74067 100000\n9029 13573\n30636 45916\n4929 7444\n34622 51851\n13892 20900\n59665 89453\n98735 100000\n9511 14302\n64435 96648\n9188 13819\n79798 100000\n42949 64312\n1760 2645\n63377 95040\n43305 64846\n60332 90450\n97392 100000\n26625 39924\n59628 89398\n95622 100000\n29649 44424\n10670 16061\n71624 100000\n1473 2202\n65484 98227\n77996 100000\n91588 100000\n64855 97283\n33310 49903\n79418 100000\n12299 18512\n59471 89156\n21412 32157\n48805 73116\n67916 100000\n80514 100000\n64540 96806\n17978 26990\n27822 41713\n13502 20315\n6030 9106\n32803 49142\n10625 15990\n35071 52512\n73602 100000\n25431 38152\n12531 18866\n98355 100000\n60122 90135\n56260 84298\n49225 73747\n50507 75668\n27600 41381\n97017 100000\n78958 100000\n86499 100000\n93178 100000\n73663 100000\n15349 23083\n29104 43624\n59776 89625\n391 589\n36310 54369\n7211 10872\n20777 31217\n94580 100000\n25235 37856\n364 549\n13682 20591\n64343 96515\n97805 100000\n91749 100000\n57659 86417\n64071 96098\n11618 17495\n36069 53998\n86464 100000\n72829 100000\n13532 20360\n96207 100000\n58364 87475\n36616 54832\n98422 100000\n57177 85679\n83031 100000\n56883 85246\n73764 100000\n59223 88770\n44637 66827\n10569 15902\n52464 78589\n79147 100000\n97166 100000\n35005 52412\n71838 100000\n21831 32788\n26874 40290\n62548 93808\n23170 34789\n95510 100000\n46510 69639\n89377 100000\n47411 70990\n36704 54964\n84515 100000\n16633 24964\n6346 9573\n5124 7739\n34745 52033\n85891 100000\n30716 46033\n7739 11658\n38499 57639\n9247 13912\n60035 90014\n93911 100000\n56873 85231\n88903 100000\n55964 83848\n98926 100000\n69219 100000\n38559 57718\n85407 100000\n55905 83757\n33750 50562\n78360 100000\n36752 55034\n19047 28607\n76683 100000\n19920 29931\n77896 100000\n5893 8904\n47432 71022\n5623 8477\n49725 74504\n22875 34347\n55028 82426\n49407 74031\n52365 78432\n1234 1850\n73510 100000\n42937 64292\n66467 99695\n6379 9624\n88295 100000\n25209 37814\n10524 15832\n37242 55762\n13991 21052\n4816 7274\n30388 45538\n29311 43926\n56882 85244\n72878 100000\n31871 47748\n91038 100000\n57198 85711\n22474 33759\n82245 100000\n41664 62394\n1931 2918\n91950 100000\n53216 79702\n47677 71385\n89585 100000\n97606 100000\n16958 25455\n88845 100000\n13995 21059\n26261 39398\n79550 100000\n27919 41853\n96317 100000\n6163 9305\n58027 86974\n3084 4672\n12424 18701\n20704 31105\n67598 100000\n65837 98752\n68171 100000\n42057 62984\n72077 100000\n55815 83620\n91279 100000\n68105 100000\n50624 75847\n17817 26749\n17110 25678\n44022 65890\n32211 48246\n59748 89584\n43449 65052\n61472 92169\n58550 87750\n31514 47209\n84414 100000\n1467 2191\n63294 94923\n42839 64149\n66005 99005\n73648 100000\n7730 11643\n61376 92017\n42393 63492\n65068 97609\n83810 100000\n55861 83693\n15208 22871\n97098 100000\n68287 100000\n38940 58287\n594 889\n46432 69515\n15931 23932\n30988 46427\n43115 64559\n53303 79838\n63942 95906\n53520 80162\n79523 100000\n60087 90088\n63336 94982\n69885 100000\n59493 89193\n8525 12826\n79199 100000\n29843 44716\n89209 100000\n27171 40732\n46777 70035\n95675 100000\n85607 100000\n24557 36849\n97518 100000\n54072 81010\n32167 48181\n89563 100000\n97963 100000\n42483 63624\n78761 100000\n18988 28517\n53587 80264\n42033 62946\n54900 82241\n76688 100000\n62156 93215\n53599 80284\n83026 100000\n38223 57218\n40770 61038\n91402 100000\n76862 100000\n73627 100000\n85674 100000\n13283 19998\n50422 75536\n40834 61139\n94479 100000\n31035 46492\n77522 100000\n76282 100000\n60753 91092\n44042 65919\n8252 12420\n63844 95763\n12729 19158\n59569 89310\n46740 69981\n25282 37925\n57351 85945\n57746 86553\n30909 46310\n83248 100000\n46486 69598\n81855 100000\n8345 12561\n47251 70753\n2772 4193\n26515 39766\n12909 19432\n47738 71475\n21999 33035\n37240 55759\n15547 23370\n79563 100000\n50124 75100\n22133 33244\n21974 33001\n20996 31534\n48894 73248\n10118 15226\n30173 45206\n93073 100000\n99716 100000\n9276 13953\n33089 49570\n52330 78385\n35504 53150\n65474 98213\n45825 68602\n96513 100000\n38697 57917\n6879 10391\n89364 100000\n42519 63676\n61072 91560\n34332 51434\n74211 100000\n29299 43909\n32708 48996\n74902 100000\n59392 89037\n50816 76134\n8343 12558\n29967 44893\n28141 42199\n93747 100000\n3953 5955\n54322 81376\n6584 9938\n81503 100000\n94392 100000\n34259 51329\n29329 43950\n16129 24222\n70578 100000\n70088 100000\n49146 73628\n58931 88324\n91837 100000\n98328 100000\n23277 34944\n55385 82970\n99224 100000\n91295 100000\n84047 100000\n44621 66800\n69823 100000\n59881 89781\n15316 23027\n90359 100000\n39135 58585\n83119 100000\n1784 2687\n15021 22599\n19082 28661\n90599 100000\n28950 43396\n65862 98793\n58444 87595\n49046 73472\n36044 53961\n68559 100000\n19088 28673\n92938 100000\n77374 100000\n70056 100000\n47944 71789\n88642 100000\n38176 57150\n8220 12369\n70941 100000\n39235 58728\n29413 44076\n61586 92345\n21279 31954\n49029 73446\n63850 95772\n69927 100000\n13077 19682\n60077 90074\n29194 43745\n45998 68863\n55657 83383\n98537 100000\n83882 100000\n25030 37553\n72447 100000\n44720 66959\n20219 30379\n69074 100000\n88886 100000\n27664 41476\n61337 91959\n24802 37205\n99221 100000\n39868 59683\n34519 51709\n5593 8433\n21264 31934\n92913 100000\n29850 44725\n21206 31850\n57639 86389\n32869 49241\n42932 64285\n87099 100000\n17771 26682\n6147 9280\n63599 95382\n34095 51086\n17268 25917\n98477 100000\n62383 93551\n87975 100000\n19161 28790\n64984 97482\n8957 13471\n346 518\n4796 7242\n49095 73550\n1708 2565\n4426 6678\n66111 99166\n11118 16748\n36585 54787\n2360 3576\n33680 50464\n89476 100000\n92363 100000\n4811 7267\n35306 52853\n47930 71767\n26025 39042\n70302 100000\n41607 62309\n12300 18514\n62577 93848\n8349 12567\n71393 100000\n63792 95681\n76875 100000\n88416 100000\n95086 100000\n16644 24979\n45765 68514\n3913 5894\n81194 100000\n38055 56968\n41197 61693\n68126 100000\n28717 43047\n26426 39642\n99732 100000\n39275 58787\n86964 100000\n68478 100000\n51724 77484\n9222 13872\n74434 100000\n7223 10889\n30515 45727\n38745 57983\n57343 85934\n38946 58297\n90385 100000\n55529 83189\n12080 18176\n88686 100000\n58011 86950\n23020 34565\n64929 97398\n16563 24870\n38466 57588\n70606 100000\n94189 100000\n66033 99043\n61257 91846\n63490 95211\n14006 21075\n50072 75027\n14292 21506\n42687 63920\n10000 15044\n79534 100000\n99776 100000\n30945 46365\n80583 100000\n59911 89825\n6143 9273\n42555 63729\n66510 99764\n18150 27251\n1220 1824\n85146 100000\n9781 14710\n72627 100000\n90739 100000\n97530 100000\n35396 52988\n24972 37457\n79802 100000\n74420 100000\n80318 100000\n9753 14667\n91381 100000\n34188 51225\n46558 69716\n54876 82204\n67064 100000\n60063 90052\n4195 6334\n39200 58682\n60202 90254\n32309 48393\n57178 85680\n83236 100000\n62367 93526\n64559 96833\n6995 10563\n27123 40660\n37064 55490\n54537 81703\n82331 100000\n9659 14525\n89051 100000\n49202 73712\n27386 41064\n72753 100000\n15168 22814\n761 1138\n1434 2142\n63716 95561\n98369 100000\n82228 100000\n8169 12292\n53199 79678\n15899 23886\n59007 88435\n58001 86933\n97719 100000\n52877 79204\n75480 100000\n94277 100000\n25657 38491\n46059 68949\n88636 100000\n67530 100000\n20447 30727\n78904 100000\n5076 7668\n5958 9006\n93126 100000\n49518 74198\n95284 100000\n67486 100000\n57095 85558\n34018 50965\n93289 100000\n50349 75433\n39243 58742\n71822 100000\n85265 100000\n34693 51953\n31671 47448\n2570 3895\n11498 17318\n97714 100000\n79054 100000\n57436 86074\n58300 87385\n92298 100000\n89962 100000\n51228 76754\n30080 45067\n16619 24945\n73530 100000\n69021 100000\n44989 67357\n45660 68358\n95975 100000\n40505 60644\n41568 62248\n62018 93008\n78058 100000\n90718 100000\n85532 100000\n21680 32562\n82506 100000\n71255 100000\n45395 67957\n12336 18565\n11809 17785\n3426 5174\n61246 91826\n89849 100000\n43859 65653\n12110 18221\n16176 24297\n95455 100000\n9902 14896\n13469 20268\n14591 21945\n42012 62913\n97625 100000\n19871 29855\n91198 100000\n6092 9192\n89589 100000\n23303 34984\n99493 100000\n66497 99744\n97125 100000\n30623 45895\n58832 88179\n57541 86240\n66125 99186\n43870 65667\n97282 100000\n64300 96449\n4324 6524\n54874 82200\n31181 46715\n43928 65751\n79910 100000\n78692 100000\n57965 86880\n90245 100000\n58819 88159\n37176 55661\n86991 100000\n90862 100000\n11270 16983\n38899 58225\n38982 58353\n7398 11143\n64809 97215\n86194 100000\n51278 76830\n36769 55060\n3466 5231\n62265 93380\n71410 100000\n17959 26961\n77099 100000\n65573 98357\n85682 100000\n75427 100000\n81675 100000\n72048 100000\n67329 100000\n16433 24676\n48146 72097\n4356 6573\n97090 100000\n69482 100000\n6378 9622\n99668 100000\n13347 20093\n47538 71179\n47543 71184\n12221 18393\n3591 5416\n81607 100000\n48158 72114\n50209 75224\n92541 100000\n28908 43333\n7079 10674\n89129 100000\n97510 100000\n68977 100000\n97897 100000\n38863 58177\n64357 96534\n3902 5876\n43749 65495\n37041 55455\n64762 97137\n31429 47082\n61698 92512\n16384 24603\n75665 100000\n69405 100000\n40060 59978\n10147 15266\n4072 6145\n9167 13786\n9845 14810\n49125 73596\n63762 95634\n96514 100000\n33697 50486\n86978 100000\n17357 26057\n65184 97789\n13634 20521\n4545 6859\n94676 100000\n63754 95621\n31554 47268\n53823 80628\n75390 100000\n66574 99863\n21208 31852\n80785 100000\n81683 100000\n62803 94191\n52673 78894\n41141 61605\n24150 36242\n90369 100000\n4119 6215\n9449 14208\n97517 100000\n13186 19848\n90017 100000\n40326 60370\n63243 94845\n86167 100000\n89894 100000\n77218 100000\n91442 100000\n79686 100000\n14272 21477\n95484 100000\n97970 100000\n85057 100000\n49258 73792\n85766 100000\n26541 39804\n66946 100000\n63196 94769\n74956 100000\n34678 51930\n54936 82294\n26086 39132\n16209 24343\n67660 100000\n71521 100000\n97304 100000\n10112 15215\n89440 100000\n37895 56724\n15210 22873\n72743 100000\n61961 92923\n63674 95499\n78554 100000\n41493 62136\n60983 91423\n69208 100000\n8180 12310\n12408 18678\n11855 17848\n42200 63200\n71355 100000\n18156 27259\n25750 38631\n1489 2228\n97777 100000\n54129 81089\n46691 69911\n39286 58802\n99296 100000\n8200 12340\n21689 32573\n32066 48032\n28476 42692\n95258 100000\n76876 100000\n85491 100000\n66790 100000\n46726 69962\n24379 36591\n18162 27267\n9098 13671\n61309 91916\n16004 24036\n48510 72655\n28128 42181\n58772 88092\n66569 99855\n66369 99549\n25085 37636\n99400 100000\n61963 92925\n96923 100000\n60112 90122\n52199 78181\n45256 67751\n29014 43487\n48913 73278\n4246 6412\n11295 17022\n50994 76401\n44827 67117\n24930 37395\n17999 27020\n95035 100000\n46915 70231\n3019 4574\n88048 100000\n1362 2037\n78569 100000\n97599 100000\n53171 79637\n17860 26815\n40408 60496\n89152 100000\n62067 93075\n54011 80912\n56288 84337\n5252 7928\n37672 56392\n6939 10478\n68680 100000\n13422 20204\n75979 100000\n84223 100000\n62904 94342\n16827 25261\n67759 100000\n89927 100000\n24824 37236\n8301 12496\n94948 100000\n90202 100000\n5294 7990\n60066 90057\n43447 65049\n96755 100000\n43569 65225\n36566 54758\n42468 63602\n71779 100000\n96848 100000\n8665 13036\n22780 34210\n24521 36798\n12414 18685\n25554 38332\n77272 100000\n18168 27275\n62749 94115\n32017 47964\n35888 53723\n55907 83759\n78876 100000\n88278 100000\n82831 100000\n52717 78961\n98391 100000\n67588 100000\n49251 73783\n94323 100000\n34870 52218\n16766 25167\n3943 5943\n78314 100000\n33756 50570\n62609 93896\n57619 86360\n15733 23645\n9671 14544\n58805 88137\n1829 2758\n25639 38462\n55306 82850\n28699 43024\n26397 39599\n85680 100000\n50196 75205\n59472 89158\n51867 77692\n88351 100000\n98067 100000\n15680 23563\n11402 17176\n79290 100000\n8007 12061\n80926 100000\n64047 96061\n9773 14697\n58505 87684\n38369 57446\n6987 10551\n99130 100000\n52840 79149\n27769 41630\n39030 58429\n48335 72389\n84553 100000\n21672 32550\n6978 10538\n34871 52220\n5738 8651\n53975 80857\n25569 38356\n12593 18959\n3655 5505\n25125 37692\n41689 62435\n73504 100000\n39516 59139\n85687 100000\n68751 100000\n47650 71344\n31245 46815\n12132 18254\n15761 23685\n91068 100000\n96355 100000\n67431 100000\n43477 65093\n40067 59988\n7117 10727\n92229 100000\n36299 54351\n80919 100000\n62445 93656\n99015 100000\n19734 29642\n66565 99847\n67016 100000\n21267 31937\n93885 100000\n18323 27510\n64027 96029\n33859 50723\n32131 48128\n28750 43097\n20032 30096\n6819 10301\n68616 100000\n85873 100000\n18853 28308\n61701 92515\n65499 98252\n18863 28326\n20245 30420\n13383 20147\n53358 79920\n85309 100000\n83830 100000\n83546 100000\n39160 58621\n1295 1937\n46998 70360\n91016 100000\n50789 76097\n25992 38989\n2277 3445\n13380 20143\n12870 19374\n23038 34594\n65771 98656\n65855 98781\n52445 78557\n16677 25027\n67197 100000\n80592 100000\n74030 100000\n92857 100000\n41221 61731\n87239 100000\n67895 100000\n3070 4650\n92465 100000\n24707 37077\n22310 33513\n41438 62053\n3769 5678\n78440 100000\n58373 87488\n14415 21690\n94947 100000\n99924 100000\n66857 100000\n63767 95643\n41890 62740\n44862 67171\n58467 87630\n75922 100000\n83340 100000\n9513 14306\n13663 20563\n78269 100000\n50950 76337\n54753 82028\n14512 21830\n23442 35190\n36896 55242\n22072 33151\n63577 95347\n50414 75526\n11804 17776\n12704 19123\n75466 100000\n7160 10793\n78428 100000\n25010 37522\n93 137\n43090 64520\n92830 100000\n37537 56191\n25827 38754\n40432 60534\n73187 100000\n4416 6663\n59439 89113\n56770 85073\n59889 89793\n20448 30729\n90390 100000\n85742 100000\n30778 46121\n13657 20555\n50674 75921\n30057 45036\n81718 100000\n15633 23492\n97188 100000\n17758 26663\n4840 7308\n45375 67927\n79103 100000\n88386 100000\n53343 79898\n23901 35865\n91296 100000\n23138 34743\n65155 97746\n39208 58692\n7995 12046\n4514 6810\n20667 31052\n44069 65960\n48705 72957\n9168 13788\n82119 100000\n75800 100000\n74259 100000\n54493 81637\n78093 100000\n70214 100000\n84687 100000\n53280 79804\n37013 55411\n32015 47961\n5563 8390\n20965 31497\n39502 59118\n90010 100000\n2254 3411\n89892 100000\n76996 100000\n69342 100000\n58452 87607\n46764 70015\n72755 100000\n91117 100000\n50090 75051\n85040 100000\n78691 100000\n65335 98012\n51661 77393\n23497 35271\n77672 100000\n77868 100000\n86684 100000\n2625 3979\n32975 49400\n12507 18826\n81286 100000\n6242 9414\n75266 100000\n62848 94260\n12437 18722\n96814 100000\n52312 78357\n11717 17645\n50404 75512\n93554 100000\n59364 88990\n30026 44986\n56917 85294\n48736 73009\n88764 100000\n56542 84725\n64783 97171\n78184 100000\n65494 98242\n99968 100000\n34606 51829\n38372 57452\n5368 8102\n9588 14416\n14695 22107\n30602 45863\n7997 12049\n68645 100000\n30399 45555\n2614 3964\n13150 19792\n93729 100000\n73043 100000\n11607 17478\n84612 100000\n76330 100000\n6635 10012\n32077 48050\n76301 100000\n52324 78376\n55947 83822\n89596 100000\n82777 100000\n62046 93046\n7628 11493\n58714 87998\n18931 28430\n14325 21559\n94129 100000\n87184 100000\n68932 100000\n99173 100000\n65093 97647\n85515 100000\n14459 21750\n88329 100000\n45934 68768\n71077 100000\n8023 12082\n24187 36295\n14655 22043\n39353 58902\n80986 100000\n47942 71786\n52713 78954\n67212 100000\n28227 42329\n22307 33510\n40265 60281\n56740 85030\n65997 98994\n51802 77602\n69871 100000\n75937 100000\n92730 100000\n95024 100000\n3158 4782\n7367 11098\n87076 100000\n13888 20893\n58131 87130\n70472 100000\n93444 100000\n95430 100000\n7715 11620\n31718 47520\n3216 4865\n40359 60424\n54091 81040\n72757 100000\n28359 42519\n25269 37905\n38067 56987\n55597 83293\n57153 85642\n17199 25814\n75183 100000\n55115 82562\n28447 42650\n51425 77050\n22418 33673\n31868 47743\n60118 90130\n20909 31414\n95124 100000\n63303 94935\n66928 100000\n45754 68496\n96481 100000\n52570 78750\n73750 100000\n45378 67931\n33791 50624\n98378 100000\n40387 60464\n70989 100000\n32533 48721\n57886 86758\n80619 100000\n81502 100000\n14366 21620\n58821 88161\n97105 100000\n9722 14617\n68679 100000\n73358 100000\n56871 85227\n82888 100000\n42510 63665\n99246 100000\n5316 8022\n32754 49066\n11505 17326\n84945 100000\n88245 100000\n50743 76026\n37215 55716\n56922 85302\n65311 97979\n69709 100000\n87341 100000\n76168 100000\n50136 75116\n85678 100000\n84491 100000\n95195 100000\n93026 100000\n23096 34678\n28655 42960\n91519 100000\n13123 19750\n68385 100000\n89881 100000\n35539 53209\n1071 1605\n11800 17770\n87998 100000\n39257 58762\n50611 75827\n73767 100000\n89793 100000\n23585 35405\n1681 2524\n11950 17980\n41201 61700\n18712 28089\n23457 35211\n99175 100000\n14023 21105\n28036 42034\n85784 100000\n43856 65649\n11283 17004\n8916 13408\n21647 32514\n81376 100000\n83081 100000\n973 1459\n64949 97428\n37034 55443\n90541 100000\n46610 69791\n94367 100000\n10750 16184\n72538 100000\n59363 88989\n70165 100000\n8943 13449\n32254 48313\n65686 98522\n13104 19720\n88738 100000\n76842 100000\n14317 21549\n61022 91484\n10986 16542\n582 870\n55149 82610\n72091 100000\n80078 100000\n60309 90418\n87694 100000\n54360 81436\n87765 100000\n94159 100000\n42867 64188\n8650 13014\n50405 75514\n42660 63881\n77645 100000\n2976 4509\n57676 86444\n39332 58871\n45143 67581\n5002 7550\n68736 100000\n45961 68808\n81158 100000\n1306 1954\n10525 15834\n91190 100000\n53674 80395\n67509 100000\n23742 35639\n90950 100000\n27677 41495\n20434 30708\n42437 63553\n83885 100000\n68417 100000\n6258 9439\n24500 36768\n43877 65680\n16975 25480\n45535 68169\n68273 100000\n21486 32269\n9125 13718\n76944 100000\n96597 100000\n13368 20126\n67678 100000\n34078 51058\n22689 34072\n99547 100000\n98254 100000\n73967 100000\n36922 55280\n43361 64924\n75402 100000\n94383 100000\n81415 100000\n45076 67485\n96644 100000\n95436 100000\n47112 70533\n16953 25448\n85621 100000\n11318 17059\n22492 33784\n22862 34328\n2367 3587\n82407 100000\n79438 100000\n8000 12052\n1399 2089\n48693 72940\n29984 44920\n11920 17939\n29285 43885\n36534 54712\n93797 100000\n3970 5981\n66875 100000\n94633 100000\n74051 100000\n37293 55836\n16571 24882\n16389 24610\n85988 100000\n76976 100000\n59763 89610\n62936 94390\n57496 86165\n76626 100000\n51095 76553\n57506 86182\n63696 95531\n15461 23242\n806 1209\n99762 100000\n52483 78619\n99131 100000\n91744 100000\n46622 69807\n8175 12303\n60086 90086\n14629 22003\n40180 60159\n39803 59577\n66361 99539\n78517 100000\n14260 21461\n15830 23783\n63467 95174\n1196 1790\n66984 100000\n49743 74532\n59625 89394\n47508 71133\n44837 67133\n70839 100000\n2613 3962\n58 82\n61801 92668\n24629 36962\n89284 100000\n77276 100000\n47244 70742\n81647 100000\n31246 46817\n42771 64048\n78305 100000\n81130 100000\n3483 5259\n68968 100000\n77236 100000\n84157 100000\n26758 40118\n49293 73845\n37066 55493\n25155 37734\n72926 100000\n92940 100000\n63318 94956\n2030 3063\n95520 100000\n20380 30622\n20228 30393\n77527 100000\n59948 89882\n89991 100000\n16131 24225\n8617 12967\n73606 100000\n29952 44871\n82761 100000\n63367 95024\n96884 100000\n47822 71604\n92827 100000\n18030 27069\n87823 100000\n85833 100000\n28300 42433\n54941 82301\n21841 32804\n82195 100000\n80122 100000\n20521 30830\n80345 100000\n68414 100000\n42440 63558\n6043 9126\n14224 21410\n59414 89074\n26112 39172\n82162 100000\n25947 38929\n50663 75906\n53634 80335\n18233 27375\n60726 91051\n23544 35347\n85316 100000\n65923 98887\n11342 17092\n36313 54373\n79556 100000\n92854 100000\n8809 13252\n41600 62298\n36047 53966\n93842 100000\n81398 100000\n29973 44903\n15097 22708\n64389 96578\n78152 100000\n44153 66090\n84335 100000\n50896 76252\n92119 100000\n17356 26055\n8706 13096\n14120 21254\n84190 100000\n90327 100000\n56271 84314\n80711 100000\n6288 9483\n74070 100000\n56660 84912\n47187 70649\n96930 100000\n90410 100000\n11392 17163\n77790 100000\n91165 100000\n57567 86283\n97635 100000\n46267 69273\n7060 10648\n92764 100000\n43442 65042\n22830 34283\n41137 61600\n18714 28092\n255 381\n73742 100000\n89802 100000\n411 619\n60602 90859\n25668 38507\n17949 26947\n93517 100000\n79367 100000\n1207 1806\n86787 100000\n448 668\n40269 60288\n7356 11083\n14305 21527\n97700 100000\n6848 10346\n99731 100000\n20768 31205\n83243 100000\n75244 100000\n35528 53190\n43987 65837\n86987 100000\n88806 100000\n37591 56270\n38574 57739\n43839 65625\n47139 70573\n10772 16218\n19689 29576\n2879 4355\n48784 73083\n4565 6889\n32330 48422\n37858 56667\n71048 100000\n27066 40576\n43476 65092\n43921 65740\n66391 99575\n79493 100000\n62420 93614\n60676 90976\n26499 39748\n13173 19829\n14741 22175\n62491 93723\n78151 100000\n21284 31961\n30167 45199\n88624 100000\n59387 89030\n33909 50798\n58654 87905\n531 792\n28910 43336\n18788 28206\n44043 65921\n89544 100000\n7880 11866\n81326 100000\n34742 52028\n23734 35627\n44810 67093\n52763 79030\n75204 100000\n54511 81663\n13952 20989\n83112 100000\n94109 100000\n43903 65719\n3404 5144\n69317 100000\n7867 11846\n27876 41787\n3625 5466\n28384 42557\n18984 28512\n96769 100000\n91940 100000\n13180 19839\n36354 54438\n13547 20386\n32378 48490\n76476 100000\n22217 33376\n54341 81407\n94765 100000\n18662 28017\n89980 100000\n21257 31925\n73601 100000\n63124 94668\n53497 80125\n28014 41999\n79575 100000\n50709 75975\n24869 37308\n91245 100000\n41057 61477\n15195 22853\n46336 69372\n80488 100000\n70020 100000\n32643 48893\n86327 100000\n12703 19122\n76853 100000\n46975 70324\n85408 100000\n39006 58392\n66234 99348\n86856 100000\n42653 63868\n16040 24086\n55232 82736\n78370 100000\n52896 79233\n67712 100000\n68528 100000\n4628 6991\n92524 100000\n58932 88326\n32352 48454\n95985 100000\n78827 100000\n40418 60511\n82248 100000\n78941 100000\n99049 100000\n83913 100000\n18262 27418\n66265 99392\n28472 42687\n57864 86724\n954 1429\n76615 100000\n37358 55926\n51762 77542\n80695 100000\n60532 90757\n21034 31592\n73933 100000\n53504 80135\n58286 87361\n71033 100000\n10628 15994\n53540 80192\n27230 40822\n63991 95973\n12073 18168\n83191 100000\n64498 96741\n53571 80240\n29012 43484\n1982 2993\n32600 48828\n93467 100000\n88320 100000\n68863 100000\n67036 100000\n47131 70561\n78529 100000\n15364 23104\n69229 100000\n660 985\n81107 100000\n59299 88890\n98428 100000\n15523 23336\n95114 100000\n53011 79400\n7301 10999\n34649 51890\n27049 40553\n87843 100000\n9861 14836\n81664 100000\n62830 94229\n13342 20084\n65245 97881\n84879 100000\n27613 41397\n32647 48899\n57303 85875\n73603 100000\n31362 46988\n9611 14447\n8461 12728\n86897 100000\n35081 52526\n4258 6430\n53852 80669\n78638 100000\n93401 100000\n2429 3686\n68704 100000\n77162 100000\n80111 100000\n81349 100000\n97347 100000\n46030 68908\n45855 68653\n54068 81003\n83872 100000\n47891 71713\n97563 100000\n42197 63196\n28129 42183\n44974 67336\n35564 53249\n51198 76711\n21230 31884\n94578 100000\n9891 14881\n88451 100000\n2097 3170\n60245 90319\n285 424\n31984 47918\n132 190\n16536 24833\n43016 64410\n82793 100000\n43534 65174\n6249 9425\n52971 79342\n77903 100000\n11893 17901\n45499 68118\n58907 88290\n51726 77488\n21503 32292\n48234 72235\n81029 100000\n98999 100000\n42207 63209\n93166 100000\n3859 5816\n51559 77250\n9015 13555\n67193 100000\n44747 67001\n7979 12021\n49120 73589\n88457 100000\n56948 85341\n75108 100000\n30847 46221\n85169 100000\n98074 100000\n20311 30514\n5098 7704\n89822 100000\n18348 27546\n78430 100000\n14376 21634\n87250 100000\n99211 100000\n27053 40558\n76905 100000\n58070 87042\n21376 32103\n39472 59074\n64349 96525\n41882 62731\n10423 15684\n75335 100000\n14806 22273\n97074 100000\n13032 19616\n5986 9045\n44866 67178\n63618 95411\n99780 100000\n2832 4283\n92603 100000\n44806 67086\n81660 100000\n33132 49630\n34535 51729\n26589 39874\n55163 82631\n35932 53790\n67398 100000\n76191 100000\n52804 79094\n47537 71177\n15099 22710\n72167 100000\n82147 100000\n48733 73004\n98352 100000\n67989 100000\n25348 38025\n61234 91807\n9864 14841\n19147 28766\n2814 4252\n87175 100000\n70927 100000\n9397 14133\n72236 100000\n74756 100000\n92040 100000\n62756 94125\n93351 100000\n61410 92071\n19462 29244\n1439 2151\n48719 72980\n93154 100000\n25123 37690\n33153 49661\n76542 100000\n19789 29722\n43639 65334\n40819 61115\n62377 93542\n5627 8482\n46462 69562\n15703 23596\n31668 47442\n49136 73613\n3792 5712\n56464 84606\n26950 40400\n73498 100000\n25673 38516\n41954 62829\n50438 75559\n80021 100000\n26527 39786\n98239 100000\n45157 67606\n34337 51441\n97959 100000\n5036 7599\n41757 62534\n61242 91820\n7362 11091\n97016 100000\n39797 59567\n60005 89964\n53527 80170\n21605 32449\n48757 73040\n74484 100000\n53973 80854\n54972 82343\n55922 83785\n15556 23381\n22659 34026\n22792 34226\n34335 51438\n23747 35646\n27560 41322\n7718 11624\n3349 5065\n91821 100000\n5214 7874\n22303 33505\n66626 99939\n4784 7225\n90058 100000\n59709 89523\n42310 63363\n6628 10003\n95632 100000\n50249 75284\n44107 66016\n32185 48208\n94062 100000\n32801 49138\n1724 2590\n53566 80234\n90349 100000\n51427 77052\n68651 100000\n90937 100000\n15991 24017\n44507 66624\n56316 84379\n15603 23449\n21872 32851\n21888 32873\n66908 100000\n1493 2234\n85269 100000\n50860 76199\n6740 10181\n2787 4214\n66463 99688\n30348 45476\n66170 99252\n83328 100000\n13296 20017\n913 1361\n44937 67284\n3378 5105\n37191 55681\n20265 30449\n3229 4884\n16220 24360\n72851 100000\n43574 65233\n28029 42024\n20137 30248\n71567 100000\n76267 100000\n1686 2533\n93970 100000\n68194 100000\n93341 100000\n1312 1961\n86071 100000\n90779 100000\n36375 54471\n12019 18084\n62731 94090\n66905 100000\n93948 100000\n88412 100000\n46066 68960\n55537 83202\n30500 45706\n84941 100000\n93657 100000\n40584 60765\n12312 18532\n22044 33107\n6891 10409\n6380 9626\n8187 12322\n56543 84727\n1371 2049\n74010 100000\n11240 16938\n52771 79041\n51545 77232\n28560 42820\n93899 100000\n69364 100000\n97688 100000\n92947 100000\n95799 100000\n72467 100000\n20086 30178\n97424 100000\n98498 100000\n89911 100000\n25510 38268\n8091 12183\n80443 100000\n87357 100000\n55226 82727\n94060 100000\n73569 100000\n24233 36362\n82549 100000\n16154 24259\n84772 100000\n14263 21465\n13886 20891\n17568 26374\n34615 51842\n85819 100000\n47419 71002\n27370 41040\n60434 90606\n31222 46781\n75177 100000\n11051 16649\n23998 36013\n57797 86622\n45871 68678\n28027 42021\n35105 52562\n16444 24693\n52718 78963\n82270 100000\n1430 2137\n70000 100000\n86210 100000\n479 715\n61648 92436\n53262 79775\n84623 100000\n39524 59150\n1485 2222\n26754 40112\n2945 4459\n52466 78593\n12629 19013\n35284 52823\n9234 13892\n94520 100000\n16485 24756\n2989 4528\n24410 36637\n96998 100000\n6104 9210\n27234 40829\n31048 46510\n42304 63356\n66081 99119\n71970 100000\n69949 100000\n54081 81023\n79250 100000\n37039 55452\n60882 91269\n54788 82079\n46046 68930\n34485 51659\n86515 100000\n79705 100000\n20141 30255\n45846 68638\n8929 13427\n23067 34636\n9557 14372\n85120 100000\n36232 54252\n19267 28952\n44735 66982\n71039 100000\n86709 100000\n90913 100000\n40850 61163\n62064 93070\n92263 100000\n95347 100000\n8262 12436\n54069 81004\n17613 26443\n14694 22106\n69883 100000\n96130 100000\n66985 100000\n36461 54603\n92547 100000\n87010 100000\n27323 40962\n99636 100000\n50046 74988\n76352 100000\n32839 49196\n68083 100000\n71558 100000\n13950 20986\n6735 10173\n63132 94683\n93157 100000\n1354 2025\n28334 42482\n96478 100000\n80779 100000\n28209 42302\n70904 100000\n31023 46477\n49794 74606\n63843 95761\n84268 100000\n62245 93348\n33144 49647\n94067 100000\n22655 34020\n99654 100000\n39028 58425\n42560 63736\n24395 36611\n50622 75844\n20451 30735\n1908 2883\n6788 10254\n57598 86330\n73319 100000\n24711 37081\n55313 82860\n94791 100000\n34471 51638\n25840 38774\n18985 28513\n93110 100000\n36673 54922\n89996 100000\n72609 100000\n79727 100000\n23805 35729\n18434 27672\n2702 4094\n79119 100000\n34173 51204\n65872 98808\n89141 100000\n70588 100000\n49722 74500\n31518 47215\n16243 24396\n58475 87641\n24963 37446\n25918 38887\n44594 66755\n91417 100000\n31568 47287\n6069 9161\n44566 66714\n91096 100000\n91901 100000\n88432 100000\n52660 78877\n43835 65618\n96613 100000\n61189 91738\n491 732\n41547 62218\n76815 100000\n6623 9997\n96792 100000\n40939 61305\n40052 59966\n85110 100000\n23481 35250\n61221 91787\n87147 100000\n55956 83837\n25338 38009\n2825 4271\n14957 22507\n43556 65208\n61794 92658\n5760 8688\n9032 13578\n4312 6507\n55470 83101\n76879 100000\n60146 90167\n32140 48141\n6966 10520\n32827 49180\n57686 86463\n75784 100000\n4924 7437\n68555 100000\n83740 100000\n77580 100000\n12984 19546\n80439 100000\n49887 74753\n43953 65788\n65605 98405\n61827 92705\n14657 22047\n32603 48833\n10702 16110\n95162 100000\n79384 100000\n10865 16356\n90424 100000\n85582 100000\n92048 100000\n12631 19016\n17403 26128\n26978 40439\n91099 100000\n45037 67426\n14742 22176\n55322 82873\n35119 52579\n21053 31621\n31458 47124\n52475 78606\n40045 59953\n58797 88126\n57943 86849\n50901 76259\n98651 100000\n2988 4527\n23783 35697\n75756 100000\n20664 31049\n36635 54861\n53872 80696\n47239 70734\n29357 43991\n10008 15056\n44782 67052\n51110 76578\n21883 32866\n57259 85804\n18152 27254\n20332 30548\n76992 100000\n85638 100000\n61458 92144\n74948 100000\n32792 49123\n34811 52132\n38009 56898\n35738 53497\n37055 55475\n23876 35829\n12687 19099\n68807 100000\n77992 100000\n1070 1604\n12194 18351\n59966 89908\n88828 100000\n47517 71147\n5632 8488\n88417 100000\n32078 48051\n28848 43244\n4964 7498\n45760 68506\n14414 21689\n15004 22576\n88359 100000\n13808 20768\n53623 80317\n78287 100000\n77845 100000\n52556 78731\n23022 34568\n27017 40500\n83660 100000\n74287 100000\n77504 100000\n47384 70951\n61580 92338\n19397 29152\n97858 100000\n29647 44422\n3467 5233\n40262 60276\n38980 58350\n6488 9790\n18905 28391\n22143 33260\n56613 84839\n19094 28684\n72747 100000\n36849 55170\n2006 3027\n16733 25110\n29995 44938\n24447 36694\n97934 100000\n57535 86230\n19104 28700\n84718 100000\n13526 20351\n63547 95301\n47390 70961\n6026 9102\n29916 44823\n74132 100000\n7498 11299\n42283 63323\n55167 82637\n44915 67254\n90940 100000\n94252 100000\n18581 27891\n62656 93969\n99095 100000\n36071 54001\n13005 19578\n85438 100000\n14684 22088\n39333 58872\n38886 58206\n58438 87586\n58401 87534\n58216 87254\n92116 100000\n4488 6771\n49927 74807\n69136 100000\n11686 17601\n59551 89282\n26554 39825\n3474 5244\n91708 100000\n87211 100000\n98569 100000\n68188 100000\n56849 85196\n10074 15156\n35644 53363\n1383 2066\n72716 100000\n77795 100000\n65671 98499\n91006 100000\n55504 83152\n37536 56190\n78816 100000\n41586 62276\n50649 75884\n69045 100000\n26863 40274\n54880 82209\n17139 25724\n21784 32715\n56538 84718\n89059 100000\n27438 41139\n52627 78829\n92047 100000\n25696 38550\n37056 55477\n21220 31870\n27802 41682\n33312 49906\n19426 29193\n3781 5696\n34878 52231\n48987 73385\n68636 100000\n76517 100000\n67466 100000\n75282 100000\n57909 86795\n59817 89681\n7802 11750\n5466 8250\n28095 42130\n96096 100000\n38484 57616\n91618 100000\n68464 100000\n1103 1655\n93916 100000\n23892 35851\n71848 100000\n71581 100000\n72912 100000\n80346 100000\n176 258\n61964 92926\n60627 90901\n97676 100000\n65255 97897\n2655 4022\n72352 100000\n12005 18063\n95836 100000\n63803 95700\n31110 46601\n33445 50106\n96493 100000\n38527 57677\n92207 100000\n42375 63468\n89221 100000\n20556 30886\n20230 30396\n90808 100000\n64990 97489\n80066 100000\n76784 100000\n55079 82506\n80945 100000\n33163 49675\n86758 100000\n18117 27205\n33776 50601\n74044 100000\n17281 25938\n27559 41320\n1553 2326\n80805 100000\n68879 100000\n67455 100000\n8698 13084\n72169 100000\n34567 51771\n57832 86675\n79268 100000\n4358 6575\n24053 36093\n15689 23577\n55025 82422\n44556 66698\n22334 33543\n92392 100000\n87791 100000\n24219 36341\n69111 100000\n45637 68322\n17288 25949\n16380 24596\n41378 61961\n83184 100000\n71771 100000\n26683 40010\n9955 14973\n83896 100000\n30599 45860\n57884 86755\n37545 56203\n24196 36309\n73789 100000\n65003 97509\n68628 100000\n24800 37202\n99455 100000\n5756 8682\n1299 1944\n31588 47318\n77938 100000\n27857 41761\n32470 48627\n66774 100000\n40341 60392\n77975 100000\n20722 31135\n97000 100000\n85462 100000\n3227 4882\n75303 100000\n88646 100000\n86285 100000\n99012 100000\n54504 81653\n66320 99478\n5111 7722\n31522 47221\n83366 100000\n74595 100000\n55102 82546\n84992 100000\n88979 100000\n44252 66244\n30659 45952\n73950 100000\n78291 100000\n71354 100000\n33241 49800\n18209 27339\n14446 21730\n33320 49917\n8569 12892\n2307 3491\n95716 100000\n23390 35111\n99076 100000\n11258 16966\n83382 100000\n8276 12458\n71951 100000\n62446 93658\n33564 50282\n85112 100000\n25828 38755\n17723 26614\n44781 67051\n77740 100000\n18245 27392\n92576 100000\n62129 93172\n52477 78609\n46497 69618\n77406 100000\n76144 100000\n86892 100000\n17570 26378\n96703 100000\n80977 100000\n49439 74080\n76851 100000\n89831 100000\n25877 38829\n2523 3825\n38030 56929\n84295 100000\n49940 74826\n15821 23773\n98053 100000\n82891 100000\n51236 76768\n48976 73370\n8353 12574\n99691 100000\n63870 95801\n60123 90137\n26313 39477\n39458 59057\n69077 100000\n59342 88955\n93927 100000\n54990 82369\n92386 100000\n39616 59285\n35512 53162\n60806 91163\n51101 76562\n83662 100000\n89383 100000\n10577 15915\n64699 97043\n7432 11198\n85322 100000\n70356 100000\n88454 100000\n62207 93288\n84352 100000\n30417 45584\n72756 100000\n46181 69134\n80394 100000\n36499 54663\n98945 100000\n72896 100000\n41476 62113\n60835 91205\n98015 100000\n99977 100000\n6012 9081\n20534 30853\n88323 100000\n66699 100000\n67216 100000\n91221 100000\n97816 100000\n37026 55431\n71161 100000\n16973 25477\n93496 100000\n12799 19265\n19476 29266\n42455 63581\n4623 6984\n93524 100000\n2100 3173\n356 537\n91975 100000\n52814 79111\n14024 21107\n27528 41274\n69101 100000\n53615 80307\n16386 24605\n20849 31325\n62108 93140\n33180 49702\n62914 94357\n76590 100000\n94824 100000\n84071 100000\n59301 88894\n31319 46923\n2356 3570\n98741 100000\n5531 8347\n86505 100000\n17661 26525\n28700 43025\n27786 41657\n16666 25011\n16245 24399\n4047 6104\n26776 40144\n99447 100000\n20593 30941\n35919 53767\n35169 52648\n19964 29995\n2454 3723\n48502 72643\n81940 100000\n80569 100000\n67651 100000\n17773 26685\n13488 20296\n82624 100000\n42807 64101\n11095 16715\n96180 100000\n95207 100000\n3056 4631\n89163 100000\n79518 100000\n29769 44601\n63598 95381\n16594 24913\n33149 49655\n79467 100000\n16499 24778\n29652 44429\n85518 100000\n50214 75230\n90456 100000\n89906 100000\n88440 100000\n11981 18026\n79127 100000\n77388 100000\n17535 26329\n13023 19603\n61442 92120\n5938 8971\n32058 48020\n15314 23023\n93443 100000\n30166 45197\n41587 62278\n71443 100000\n85360 100000\n97951 100000\n59279 88859\n46018 68889\n43376 64947\n72629 100000\n35624 53335\n97535 100000\n67080 100000\n25783 38685\n22505 33805\n53955 80826\n73253 100000\n20193 30339\n32633 48879\n99036 100000\n34186 51223\n49934 74817\n87951 100000\n26808 40190\n44711 66947\n19761 29679\n66302 99448\n12332 18558\n50958 76347\n18049 27099\n16279 24451\n92592 100000\n44896 67223\n83518 100000\n47433 71024\n81457 100000\n64702 97048\n49435 74076\n49838 74677\n58284 87358\n87799 100000\n29010 43481\n45042 67432\n54252 81273\n67140 100000\n9777 14703\n87630 100000\n88201 100000\n46609 69789\n63894 95836\n40590 60773\n27269 40877\n43756 65507\n96821 100000\n3086 4674\n88381 100000\n42244 63266\n56711 84986\n87596 100000\n22695 34079\n83738 100000\n39708 59427\n6076 9171\n30802 46159\n27129 40669\n38736 57972\n52686 78914\n78730 100000\n36226 54240\n23255 34914\n49316 73879\n1926 2911\n1799 2713\n92250 100000\n90967 100000\n70693 100000\n71963 100000\n68934 100000\n82555 100000\n11235 16933\n19542 29360\n10062 15137\n24311 36482\n91256 100000\n34407 51548\n27661 41472\n69488 100000\n36733 55010\n89343 100000\n27197 40771\n41118 61569\n52645 78855\n641 957\n76603 100000\n65783 98675\n43567 65223\n22880 34356\n95306 100000\n96341 100000\n35185 52669\n98909 100000\n38877 58196\n34658 51903\n91780 100000\n51246 76782\n57799 86626\n50308 75371\n10737 16162\n92488 100000\n13607 20477\n98330 100000\n81265 100000\n89558 100000\n10165 15295\n98942 100000\n82852 100000\n24102 36167\n59557 89290\n98899 100000\n21142 31759\n30090 45079\n17690 26568\n68016 100000\n93262 100000\n81270 100000\n61548 92286\n70101 100000\n50598 75807\n39729 59457\n46470 69574\n34617 51844\n67297 100000\n35447 53068\n85396 100000\n79911 100000\n43643 65339\n79574 100000\n12048 18130\n73847 100000\n43656 65357\n93608 100000\n74748 100000\n49270 73811\n43527 65165\n1406 2099\n6238 9409\n7157 10790\n24238 36368\n66532 99797\n58067 87036\n8024 12083\n45226 67708\n10350 15575\n91460 100000\n27756 41609\n26744 40098\n66189 99278\n27387 41065\n51585 77285\n51235 76766\n97329 100000\n4362 6581\n86572 100000\n25385 38077\n18475 27734\n70261 100000\n32963 49383\n80334 100000\n49683 74439\n41760 62539\n9736 14638\n9030 13574\n85063 100000\n78442 100000\n69783 100000\n93718 100000\n73494 100000\n5025 7584\n25620 38433\n7655 11532\n92175 100000\n59362 88987\n62780 94158\n58484 87655\n99955 100000\n72910 100000\n87741 100000\n76836 100000\n87273 100000\n93359 100000\n9246 13910\n67415 100000\n54620 81823\n59135 88634\n76397 100000\n46163 69107\n62322 93463\n64191 96283\n37604 56292\n84752 100000\n19028 28579\n27525 41269\n55923 83786\n11570 17424\n28798 43164\n92212 100000\n893 1327\n90872 100000\n46202 69165\n82394 100000\n92536 100000\n12197 18356\n50647 75882\n62486 93715\n84909 100000\n5254 7930\n7772 11704\n35258 52783\n14206 21383\n26037 39061\n7456 11235\n58944 88342\n74739 100000\n86075 100000\n72018 100000\n79569 100000\n7759 11685\n7046 10628\n11888 17896\n57263 85810\n51046 76479\n65541 98311\n91396 100000\n96610 100000\n94283 100000\n2067 3122\n3596 5423\n5793 8746\n83070 100000\n51647 77373\n27170 40730\n94219 100000\n95906 100000\n66251 99373\n57281 85840\n79217 100000\n21860 32831\n82322 100000\n55520 83176\n43025 64423\n42713 63963\n87952 100000\n69330 100000\n13710 20630\n12350 18589\n33175 49695\n994 1491\n98031 100000\n5905 8926\n15822 23774\n6868 10376\n51469 77117\n21495 32282\n4151 6264\n38241 57246\n29933 44847\n51353 76946\n58829 88175\n69947 100000\n91526 100000\n42032 62944\n3492 5272\n31780 47611\n68549 100000\n51426 77051\n92758 100000\n41758 62535\n26117 39180\n7341 11057\n37163 55640\n82569 100000\n31504 47193\n52901 79243\n44850 67154\n15485 23277\n66765 100000\n52633 78838\n43508 65139\n33195 49729\n68598 100000\n62206 93286\n21776 32703\n10413 15672\n9957 14977\n87390 100000\n21757 32674\n91933 100000\n84042 100000\n37593 56274\n275 410\n91856 100000\n28108 42150\n42838 64148\n14823 22299\n5880 8884\n2324 3516\n73318 100000\n71632 100000\n56165 84156\n71365 100000\n96886 100000\n73791 100000\n22932 34436\n25927 38899\n13603 20471\n28350 42504\n99653 100000\n68377 100000\n74991 100000\n69565 100000\n42411 63517\n5125 7741\n49057 73488\n10580 15919\n47045 70433\n45248 67740\n72855 100000\n72292 100000\n83287 100000\n17429 26168\n57719 86513\n16132 24226\n97289 100000\n99572 100000\n70568 100000\n23076 34651\n43393 64972\n78734 100000\n95076 100000\n12980 19541\n57453 86098\n44407 66476\n26382 39578\n85841 100000\n34313 51411\n14888 22399\n14922 22448\n7272 10959\n74724 100000\n9727 14625\n77507 100000\n25325 37988\n33056 49522\n96489 100000\n88289 100000\n94575 100000\n11452 17249\n22888 34369\n29348 43976\n38718 57945\n17633 26478\n14757 22200\n45137 67573\n63028 94525\n80105 100000\n83556 100000\n69422 100000\n91981 100000\n39721 59444\n24685 37044\n19702 29595\n74047 100000\n26661 39971\n25430 38151\n44759 67017\n27795 41672\n30270 45360\n51142 76623\n49591 74301\n83337 100000\n35638 53355\n54030 80941\n56132 84105\n57975 86896\n34107 51103\n26357 39540\n44838 67134\n73355 100000\n69345 100000\n66588 99882\n79447 100000\n91521 100000\n69217 100000\n22779 34208\n52903 79247\n56864 85216\n37720 56463\n88779 100000\n5935 8967\n12578 18938\n24634 36970\n27492 41221\n48566 72743\n74327 100000\n7992 12041\n96679 100000\n37292 55835\n19308 29013\n23090 34669\n73657 100000\n21223 31874\n17514 26296\n42852 64166\n18002 27026\n62209 93290\n36915 55270\n38857 58166\n99179 100000\n14586 21938\n78124 100000\n51015 76432\n16529 24823\n40066 59987\n97207 100000\n33402 50041\n71378 100000\n99416 100000\n72920 100000\n90275 100000\n23654 35505\n76893 100000\n59742 89574\n73122 100000\n38586 57759\n46933 70255\n67365 100000\n42017 62919\n70187 100000\n73205 100000\n31731 47538\n77333 100000\n72748 100000\n97448 100000\n89932 100000\n31882 47763\n78590 100000\n37168 55647\n32786 49115\n7245 10919\n14271 21476\n26725 40069\n63715 95560\n61780 92639\n92816 100000\n46512 69643\n23074 34648\n98883 100000\n12277 18481\n33620 50376\n13174 19830\n30322 45438\n43504 65134\n71658 100000\n93278 100000\n30503 45710\n1440 2153\n29708 44509\n58283 87356\n78302 100000\n70499 100000\n18886 28362\n27840 41739\n3088 4677\n68505 100000\n43450 65053\n18634 27973\n39291 58810\n8884 13365\n88271 100000\n13131 19764\n56658 84909\n16936 25427\n95816 100000\n69791 100000\n18416 27643\n61156 91687\n72876 100000\n28485 42704\n25416 38128\n59511 89219\n42007 62905\n29040 43531\n63771 95648\n16797 25219\n34620 51848\n25343 38018\n31833 47689\n34428 51579\n75113 100000\n96400 100000\n450 671\n61041 91512\n43092 64524\n19374 29117\n67429 100000\n6588 9943\n31877 47757\n72758 100000\n25530 38296\n14406 21676\n32943 49355\n94276 100000\n89930 100000\n26869 40283\n884 1314\n80773 100000\n55577 83265\n86793 100000\n33219 49767\n60375 90518\n89425 100000\n54790 82082\n46283 69298\n91597 100000\n69804 100000\n96099 100000\n87650 100000\n78185 100000\n17856 26808\n56433 84560\n72034 100000\n8524 12824\n50539 75718\n94675 100000\n79682 100000\n27204 40783\n61070 91557\n49676 74429\n7264 10948\n10106 15207\n32189 48214\n3182 4817\n53809 80608\n68427 100000\n75435 100000\n29016 43491\n6079 9175\n83263 100000\n18742 28131\n93983 100000\n91322 100000\n52224 78219\n39606 59272\n12351 18591\n26421 39636\n38173 57146\n61934 92873\n69931 100000\n23703 35582\n91527 100000\n29863 44745\n57703 86489\n45545 68183\n19133 28742\n36513 54681\n4785 7227\n8938 13443\n48380 72462\n83691 100000\n14707 22126\n60391 90542\n48756 73039\n12179 18325\n89852 100000\n60265 90349\n8207 12352\n70691 100000\n92168 100000\n55666 83397\n30294 45398\n92487 100000\n24723 37099\n50602 75813\n14072 21183\n40878 61209\n27313 40947\n14247 21441\n2144 3240\n92221 100000\n3484 5260\n35033 52454\n52504 78649\n6169 9312\n93540 100000\n47672 71377\n41312 61868\n96136 100000\n82841 100000\n84972 100000\n31444 47104\n40118 60065\n85691 100000\n99378 100000\n83688 100000\n42120 63076\n61437 92112\n5527 8341\n67525 100000\n33232 49785\n58603 87827\n52322 78373\n84192 100000\n18007 27034\n93238 100000\n55564 83244\n84722 100000\n96367 100000\n83531 100000\n84749 100000\n14476 21773\n7111 10719\n35313 52865\n46604 69784\n7016 10592\n45743 68479\n71562 100000\n84724 100000\n71422 100000\n8162 12281\n56199 84207\n26126 39193\n49607 74327\n82473 100000\n93007 100000\n14394 21659\n27901 41825\n23686 35557\n25452 38184\n24458 36710\n98050 100000\n83797 100000\n4810 7265\n14746 22183\n85677 100000\n75222 100000\n24661 37006\n79027 100000\n66205 99303\n41480 62121\n86942 100000\n41944 62816\n64066 96090\n50106 75074\n37616 56310\n40051 59964\n42334 63400\n47885 71704\n8955 13468\n16491 24767\n87457 100000\n6278 9469\n28736 43078\n7460 11240\n90277 100000\n52973 79345\n73845 100000\n26465 39699\n31332 46943\n8423 12673\n21022 31573\n2656 4023\n64819 97231\n68903 100000\n53574 80244\n49977 74884\n64336 96504\n20694 31090\n29691 44482\n97222 100000\n74840 100000\n2113 3191\n3480 5255\n10933 16465\n58008 86944\n32903 49297\n78243 100000\n41441 62058\n35173 52654\n46546 69696\n27342 40995\n19811 29758\n21292 31973\n83254 100000\n24112 36182\n66880 100000\n19987 30031\n12416 18689\n48796 73103\n53086 79517\n17412 26144\n42290 63334\n22614 33964\n6815 10295\n17272 25923\n23369 35081\n71046 100000\n64418 96624\n70033 100000\n83788 100000\n55995 83896\n59039 88485\n95246 100000\n2088 3158\n74113 100000\n5067 7653\n51143 76624\n49954 74850\n41319 61877\n80840 100000\n2980 4516\n51333 76912\n12916 19442\n63513 95246\n29504 44209\n79446 100000\n22795 34230\n89483 100000\n30901 46300\n93578 100000\n44844 67144\n26479 39718\n94275 100000\n62338 93484\n83008 100000\n86997 100000\n52076 77998\n94731 100000\n56787 85099\n42677 63905\n88483 100000\n3472 5242\n34396 51531\n81768 100000\n54759 82037\n85003 100000\n99737 100000\n59639 89414\n86429 100000\n70546 100000\n81186 100000\n33531 50235\n51919 77768\n96337 100000\n33737 50542\n87617 100000\n12604 18976\n43707 65430\n59295 88882\n53103 79541\n88364 100000\n57074 85531\n42795 64084\n35088 52536\n4388 6622\n48946 73322\n91040 100000\n36031 53944\n86595 100000\n78128 100000\n88495 100000\n3401 5140\n57341 85932\n49999 74918\n71023 100000\n67603 100000\n45229 67712\n34818 52143\n50243 75276\n15737 23652\n40696 60930\n17604 26429\n77674 100000\n96110 100000\n21574 32400\n47206 70680\n41216 61722\n29441 44120\n5330 8044\n89912 100000\n35645 53365\n27240 40838\n78951 100000\n74296 100000\n63220 94809\n96900 100000\n55843 83662\n19868 29850\n68551 100000\n73367 100000\n88155 100000\n67170 100000\n32807 49149\n5499 8298\n3210 4855\n97070 100000\n31826 47679\n64529 96790\n20388 30636\n45931 68763\n92382 100000\n17493 26264\n41134 61594\n75448 100000\n26779 40148\n97348 100000\n38074 56997\n84438 100000\n10779 16229\n58359 87467\n96009 100000\n9979 15012\n85406 100000\n58044 86998\n32907 49303\n8592 12931\n21545 32358\n61722 92547\n46603 69782\n52724 78972\n67710 100000\n24689 37050\n73270 100000\n45941 68777\n14344 21586\n87449 100000\n74594 100000\n76201 100000\n1949 2944\n40607 60800\n72909 100000\n58962 88369\n88855 100000\n84099 100000\n44510 66628\n4640 7008\n35689 53428\n5978 9036\n27988 41954\n99649 100000\n55619 83328\n96899 100000\n68343 100000\n75821 100000\n67869 100000\n58504 87682\n82525 100000\n50394 75500\n58333 87433\n48210 72198\n16480 24749\n10348 15571\n58865 88228\n93069 100000\n31182 46717\n8082 12170\n9479 14254\n91451 100000\n43097 64531\n78380 100000\n27325 40965\n65844 98766\n78722 100000\n78046 100000\n54536 81701\n22884 34362\n65231 97860\n50893 76247\n37068 55495\n77242 100000\n48567 72745\n20619 30976\n71905 100000\n3819 5754\n775 1159\n76793 100000\n85320 100000\n34164 51190\n82132 100000\n95415 100000\n34809 52129\n468 699\n27982 41945\n4091 6174\n91173 100000\n82231 100000\n72407 100000\n69589 100000\n3600 5428\n18382 27596\n74623 100000\n87117 100000\n18919 28413\n3927 5916\n29790 44633\n67851 100000\n36377 54473\n88020 100000\n19059 28626\n31424 47075\n32446 48589\n24682 37040\n55319 82868\n66126 99188\n87985 100000\n14387 21651\n51537 77221\n93890 100000\n45399 67964\n90467 100000\n98044 100000\n82664 100000\n8351 12570\n69841 100000\n68207 100000\n26180 39280\n44555 66697\n86170 100000\n66896 100000\n14371 21627\n28126 42178\n53811 80610\n91758 100000\n43748 65494\n64201 96299\n50518 75684\n99191 100000\n33795 50629\n4266 6442\n14203 21380\n86067 100000\n71584 100000\n35130 52594\n63793 95683\n38838 58135\n80234 100000\n4005 6036\n67077 100000\n4776 7214\n75414 100000\n76656 100000\n92535 100000\n85503 100000\n49067 73504\n42227 63240\n64118 96169\n8039 12107\n84539 100000\n26773 40140\n61715 92537\n2687 4069\n91329 100000\n92172 100000\n41056 61475\n75251 100000\n72679 100000\n85545 100000\n13956 20997\n81844 100000\n77469 100000\n95960 100000\n11551 17396\n51542 77228\n96808 100000\n46857 70142\n70344 100000\n60807 91164\n46212 69182\n94524 100000\n20198 30347\n84500 100000\n19090 28677\n92525 100000\n21485 32268\n59319 88921\n76785 100000\n48662 72890\n95039 100000\n15383 23131\n18388 27605\n93779 100000\n73895 100000\n79653 100000\n88992 100000\n60826 91193\n78618 100000\n24857 37290\n41685 62429\n16956 25452\n52181 78151\n18715 28094\n96854 100000\n94325 100000\n12545 18888\n67581 100000\n28899 43321\n53247 79753\n45343 67879\n73327 100000\n28284 42411\n18483 27746\n30043 45014\n24853 37284\n16822 25254\n60585 90833\n59854 89739\n31716 47517\n72804 100000\n76482 100000\n18546 27844\n14976 22531\n23433 35175\n55881 83724\n34576 51784\n53766 80544\n13595 20459\n43318 64862\n70792 100000\n8883 13363\n84014 100000\n25232 37851\n49465 74117\n84147 100000\n44076 65969\n46044 68928\n97965 100000\n71306 100000\n78612 100000\n25923 38893\n33913 50803\n41585 62274\n63635 95436\n54676 81911\n89600 100000\n13429 20217\n67040 100000\n33101 49586\n37798 56586\n8497 12783\n88592 100000\n1841 2776\n38634 57825\n68545 100000\n40046 59955\n45484 68095\n78170 100000\n24304 36470\n60014 89978\n36991 55380\n96550 100000\n40973 61354\n76434 100000\n14578 21929\n75732 100000\n40271 60292\n51020 76441\n81298 100000\n10426 15689\n8438 12694\n48402 72495\n39692 59402\n59093 88571\n50057 75003\n350 526\n7100 10704\n57164 85663\n64564 96839\n63918 95872\n74221 100000\n11854 17847\n95734 100000\n91200 100000\n41906 62761\n703 1050\n41505 62152\n99203 100000\n71788 100000\n86832 100000\n496 738\n48723 72987\n73206 100000\n41314 61870\n51455 77098\n27014 40496\n7257 10936\n67932 100000\n15731 23642\n61640 92422\n87351 100000\n58906 88289\n55050 82457\n87803 100000\n79595 100000\n57803 86634\n25179 37770\n87113 100000\n56834 85175\n77500 100000\n55093 82530\n94424 100000\n41347 61915\n25371 38056\n1073 1607\n23276 34943\n42259 63287\n62947 94407\n1689 2538\n96560 100000\n58876 88245\n69319 100000\n11948 17977\n70279 100000\n5890 8901\n84089 100000\n55094 82532\n58174 87195\n54400 81492\n23008 34549\n43901 65716\n43866 65661\n61708 92525\n65158 97750\n78548 100000\n27549 41304\n30549 45779\n58909 88294\n5961 9009\n56340 84418\n38465 57586\n10102 15202\n63161 94720\n15802 23744\n63559 95318\n35461 53086\n61538 92272\n62398 93574\n93437 100000\n8797 13233\n31686 47473\n31646 47408\n40313 60350\n68526 100000\n75263 100000\n24966 37451\n41998 62890\n35753 53520\n17517 26301\n26450 39676\n53469 80089\n43423 65016\n86961 100000\n31033 46490\n4898 7397\n93804 100000\n1817 2741\n49645 74382\n26549 39815\n46902 70213\n45290 67802\n74545 100000\n43763 65517\n73867 100000\n83292 100000\n79360 100000\n98419 100000\n61590 92352\n7241 10914\n62637 93939\n66304 99452\n28766 43120\n31137 46646\n47676 71384\n398 601\n95387 100000\n45024 67406\n81808 100000\n37757 56520\n90884 100000\n28994 43459\n90642 100000\n73998 100000\n32361 48468\n17085 25644\n55600 83297\n71816 100000\n66534 99800\n17023 25554\n83727 100000\n8705 13094\n48193 72170\n73488 100000\n27081 40599\n93772 100000\n20710 31116\n54749 82021\n3968 5978\n87309 100000\n52985 79362\n12743 19181\n19805 29749\n51158 76650\n23439 35186\n71946 100000\n48140 72087\n79427 100000\n48382 72465\n25843 38778\n67094 100000\n92673 100000\n96323 100000\n85683 100000\n64551 96820\n83558 100000\n51846 77668\n69392 100000\n51840 77659\n79603 100000\n15296 22998\n68761 100000\n40442 60551\n2821 4264\n80633 100000\n57280 85838\n33821 50667\n99736 100000\n87885 100000\n88195 100000\n78905 100000\n61006 91458\n22748 34162\n55130 82582\n58694 87968\n66286 99425\n71565 100000\n81896 100000\n10124 15235\n62661 93976\n57581 86306\n88198 100000\n33593 50327\n58063 87030\n63047 94551\n79974 100000\n49424 74059\n42657 63875\n87312 100000\n47594 71262\n17438 26183\n88562 100000\n82317 100000\n29680 44466\n88232 100000\n45315 67837\n98155 100000\n94667 100000\n17104 25671\n257 385\n65192 97801\n23183 34808\n49907 74780\n88608 100000\n80129 100000\n45141 67579\n61333 91954\n90933 100000\n78465 100000\n88918 100000\n63253 94860\n23331 35024\n71370 100000\n64608 96909\n90900 100000\n79752 100000\n66665 99997\n29365 44006\n34501 51684\n16543 24843\n16890 25356\n78051 100000\n34562 51765\n99372 100000\n22860 34326\n20312 30515\n72589 100000\n27629 41423\n22005 33045\n94000 100000\n61871 92773\n39271 58781\n90993 100000\n98710 100000\n93805 100000\n91684 100000\n78255 100000\n67366 100000\n68671 100000\n92176 100000\n29249 43828\n55138 82592\n9958 14979\n28690 43013\n95841 100000\n71144 100000\n58541 87736\n95611 100000\n66275 99407\n52618 78817\n71364 100000\n31503 47192\n5161 7795\n51599 77305\n37636 56336\n41434 62047\n35793 53577\n92448 100000\n56247 84278\n86403 100000\n85986 100000\n52280 78303\n45831 68612\n16627 24956\n84698 100000\n33010 49450\n63262 94872\n75934 100000\n82143 100000\n85933 100000\n7932 11947\n90373 100000\n67926 100000\n94255 100000\n68069 100000\n53700 80434\n88994 100000\n93714 100000\n89006 100000\n90961 100000\n18879 28351\n20591 30938\n8608 12954\n43329 64879\n19341 29066\n76078 100000\n38843 58142\n64946 97423\n65658 98480\n60186 90231\n81425 100000\n76871 100000\n52121 78064\n8507 12797\n49358 73949\n21459 32228\n89592 100000\n90234 100000\n58246 87297\n22958 34471\n98418 100000\n44486 66595\n63662 95480\n20839 31308\n33217 49764\n69523 100000\n337 505\n52125 78070\n8935 13437\n5660 8535\n44503 66620\n18975 28498\n50679 75931\n35942 53804\n87956 100000\n37282 55819\n85559 100000\n18331 27521\n38926 58264\n9141 13745\n89691 100000\n10103 15203\n13089 19698\n53041 79447\n21660 32531\n44432 66513\n3036 4604\n7650 11526\n32657 48914\n49193 73699\n51166 76662\n92043 100000\n64662 96987\n79468 100000\n53266 79782\n62461 93682\n64886 97333\n75581 100000\n65802 98702\n12006 18064\n76112 100000\n189 279\n39699 59413\n48943 73317\n43254 64771\n38680 57887\n20482 30777\n76565 100000\n5549 8371\n86106 100000\n38045 56953\n38975 58341\n66191 99281\n80590 100000\n89076 100000\n58385 87509\n31303 46898\n74651 100000\n83743 100000\n46013 68881\n90792 100000\n33116 49609\n72399 100000\n2774 4195\n26222 39340\n34264 51337\n88324 100000\n34006 50945\n93784 100000\n44582 66736\n53219 79705\n72731 100000\n36657 54899\n66814 100000\n79548 100000\n77042 100000\n446 666\n27268 40875\n86260 100000\n14418 21694\n6800 10271\n31632 47388\n24907 37366\n63699 95536\n8364 12587\n35973 53853\n24162 36260\n73236 100000\n82469 100000\n33248 49811\n69680 100000\n93531 100000\n42249 63272\n35762 53533\n11381 17146\n46983 70335\n36779 55075\n50677 75927\n59426 89094\n10604 15958\n46318 69345\n61481 92185\n96575 100000\n38330 57385\n12520 18847\n83216 100000\n5372 8110\n34713 51984\n41157 61631\n12592 18957\n46411 69481\n69525 100000\n12497 18815\n19185 28826\n33122 49616\n49500 74175\n38909 58239\n40303 60334\n8980 13508\n15829 23782\n50644 75877\n61547 92285\n86780 100000\n44623 66804\n36137 54102\n92564 100000\n56701 84972\n88259 100000\n64938 97411\n30261 45344\n67189 100000\n43249 64763\n3941 5939\n64362 96540\n2751 4165\n71604 100000\n94645 100000\n56766 85068\n15727 23635\n69295 100000\n81325 100000\n23062 34629\n86002 100000\n81616 100000\n59844 89723\n58643 87886\n31403 47048\n80662 100000\n90042 100000\n22965 34481\n66444 99656\n67231 100000\n89550 100000\n98224 100000\n10917 16442\n40367 60437\n99000 100000\n35865 53687\n78133 100000\n97487 100000\n98503 100000\n99978 100000\n20955 31481\n45655 68350\n30337 45461\n39697 59409\n97974 100000\n13602 20469\n86239 100000\n41520 62175\n7993 12043\n83997 100000\n45110 67538\n85787 100000\n72273 100000\n74229 100000\n63861 95789\n33141 49642\n68873 100000\n68831 100000\n42525 63684\n29777 44615\n30301 45408\n48171 72134\n39863 59675\n35381 52964\n31926 47831\n53037 79440\n34681 51934\n92029 100000\n81836 100000\n44880 67198\n61769 92620\n10620 15982\n13869 20864\n97450 100000\n65984 98972\n4702 7099\n9884 14872\n29063 43564\n6498 9805\n73413 100000\n20997 31535\n65 94\n14576 21926\n91072 100000\n41717 62477\n98496 100000\n34137 51148\n43482 65101\n93653 100000\n83693 100000\n32025 47975\n44967 67326\n74050 100000\n62600 93883\n50827 76151\n53368 79937\n90659 100000\n66190 99279\n6064 9154\n59036 88482\n48735 73007\n58000 86932\n30708 46021\n47089 70495\n93942 100000\n52606 78799\n99141 100000\n76719 100000\n37199 55693\n90922 100000\n40653 60869\n61276 91871\n25432 38153\n91386 100000\n80602 100000\n71117 100000\n62896 94332\n44492 66604\n65634 98448\n7430 11195\n26309 39471\n78769 100000\n73872 100000\n7796 11740\n43852 65643\n46686 69904\n57740 86546\n34506 51691\n91625 100000\n14082 21200\n50712 75980\n60952 91372\n53346 79904\n13560 20405\n85440 100000\n23485 35256\n7639 11509\n12136 18261\n82779 100000\n49198 73707\n34539 51734\n83360 100000\n38506 57650\n5362 8092\n77687 100000\n81893 100000\n1180 1769\n18149 27250\n34453 51610\n67354 100000\n83024 100000\n26021 39034\n3649 5499\n64168 96244\n56525 84697\n33957 50873\n13118 19744\n38424 57527\n45744 68481\n85637 100000\n25963 38952\n68947 100000\n53567 80235\n88229 100000\n99408 100000\n62306 93443\n89175 100000\n34299 51389\n36145 54114\n55765 83546\n12630 19015\n83470 100000\n65171 97771\n5816 8780\n11493 17310\n21916 32913\n44501 66618\n68886 100000\n19175 28812\n41923 62785\n10515 15821\n81198 100000\n28693 43016\n40170 60144\n20958 31486\n28716 43045\n14889 22401\n5073 7664\n13553 20396\n1309 1957\n49560 74253\n56582 84787\n24551 36840\n6336 9560\n44188 66143\n13955 20995\n16203 24334\n86949 100000\n60198 90247\n55660 83388\n17354 26053\n99511 100000\n99875 100000\n81174 100000\n71807 100000\n27610 41393\n65908 98867\n76309 100000\n36314 54374\n78860 100000\n17016 25543\n24494 36761\n85349 100000\n20688 31082\n17121 25693\n98194 100000\n48564 72741\n91972 100000\n64527 96786\n92113 100000\n14868 22368\n36973 55355\n77753 100000\n98576 100000\n89486 100000\n21372 32097\n97744 100000\n80937 100000\n32327 48417\n64772 97152\n65883 98824\n53256 79765\n23257 34917\n25405 38108\n26598 39887\n60477 90672\n88627 100000\n91011 100000\n64249 96374\n20975 31509\n14784 22242\n72240 100000\n89095 100000\n96195 100000\n47314 70846\n14683 22087\n37036 55447\n33210 49753\n69816 100000\n75063 100000\n23249 34905\n2894 4377\n77678 100000\n33162 49674\n44978 67341\n19912 29918\n21251 31917\n18669 28026\n45030 67415\n18336 27528\n18130 27223\n98581 100000\n42619 63820\n45494 68112\n46568 69733\n7038 10619\n84359 100000\n27498 41230\n14974 22528\n75758 100000\n31244 46814\n62020 93011\n53686 80415\n2314 3502\n12988 19551\n60082 90080\n98178 100000\n82460 100000\n37562 56230\n11934 17958\n43418 65010\n36861 55189\n94079 100000\n4025 6069\n26523 39779\n52457 78578\n60401 90558\n69046 100000\n99902 100000\n48106 72037\n93332 100000\n98243 100000\n31094 46578\n90875 100000\n47088 70494\n60088 90089\n52855 79169\n32030 47982\n34382 51512\n17566 26372\n70716 100000\n64909 97368\n23444 35192\n35830 53634\n34538 51733\n75654 100000\n42603 63797\n21553 32372\n88734 100000\n68794 100000\n61797 92663\n95468 100000\n24609 36930\n1844 2780\n28990 43453\n34848 52182\n80916 100000\n65009 97516\n76007 100000\n31121 46620\n83690 100000\n83923 100000\n24197 36310\n33692 50479\n13522 20345\n91055 100000\n39057 58470\n85805 100000\n15655 23525\n7120 10732\n56060 83997\n84434 100000\n24796 37198\n44070 65961\n72687 100000\n9607 14440\n81331 100000\n14168 21331\n96327 100000\n69683 100000\n92166 100000\n74653 100000\n20505 30810\n78256 100000\n24189 36299\n61176 91719\n56036 83961\n77666 100000\n85310 100000\n12989 19552\n2333 3529\n59990 89944\n29483 44179\n45914 68738\n35 50\n24515 36789\n96230 100000\n29845 44719\n33760 50576\n51774 77559\n56375 84470\n73268 100000\n49106 73568\n35695 53438\n90171 100000\n57573 86292\n57008 85437\n84366 100000\n14575 21924\n5180 7821\n80282 100000\n42196 63195\n88928 100000\n9233 13891\n87755 100000\n32461 48613\n90915 100000\n32397 48516\n67127 100000\n80537 100000\n77383 100000\n79929 100000\n5153 7782\n4034 6083\n5061 7643\n92217 100000\n77763 100000\n65346 98029\n10410 15666\n92143 100000\n96733 100000\n61499 92211\n47275 70787\n81793 100000\n69779 100000\n79241 100000\n75678 100000\n44911 67246\n20733 31155\n49931 74812\n84971 100000\n79968 100000\n65431 98153\n95802 100000\n23455 35208\n90052 100000\n22842 34302\n94229 100000\n18076 27139\n11212 16896\n70336 100000\n98297 100000\n8003 12056\n51079 76527\n66890 100000\n25341 38014\n54231 81240\n70191 100000\n58777 88098\n54236 81248\n5849 8830\n45426 68006\n406 611\n40838 61144\n5157 7790\n69476 100000\n56183 84184\n67630 100000\n17982 26995\n26570 39848\n58179 87201\n6627 10002\n62983 94461\n29 43\n17431 26172\n18826 28266\n80323 100000\n83468 100000\n92955 100000\n52019 77914\n82049 100000\n36777 55072\n36423 54547\n77356 100000\n3133 4742\n911 1357\n27176 40739\n56648 84892\n60328 90445\n31019 46471\n73547 100000\n58758 88071\n76975 100000\n4303 6496\n41303 61853\n67599 100000\n94238 100000\n88362 100000\n75980 100000\n91612 100000\n15854 23819\n28999 43467\n38579 57747\n76899 100000\n142 206\n50346 75428\n43943 65772\n75643 100000\n36207 54212\n70573 100000\n52549 78719\n53549 80208\n77347 100000\n52261 78274\n42671 63899\n30912 46314\n69881 100000\n15193 22850\n92209 100000\n89500 100000\n90713 100000\n91993 100000\n71591 100000\n13020 19599\n92257 100000\n82792 100000\n81092 100000\n35348 52918\n60465 90656\n28044 42048\n6794 10263\n45572 68227\n30747 46079\n82807 100000\n86334 100000\n77690 100000\n49065 73501\n64104 96146\n8526 12827\n55683 83424\n61688 92496\n36246 54270\n50982 76382\n57694 86476\n8420 12668\n97693 100000\n66412 99606\n74160 100000\n35835 53642\n27856 41760\n7871 11852\n34841 52174\n55524 83181\n40916 61272\n66539 99808\n23801 35723\n62570 93838\n40404 60490\n57086 85547\n10201 15346\n8932 13432\n78311 100000\n90493 100000\n67806 100000\n21970 32997\n11653 17548\n89374 100000\n64312 96466\n71108 100000\n28505 42736\n47365 70926\n64003 95990\n45774 68525\n82519 100000\n34184 51220\n67269 100000\n22504 33804\n38137 57090\n69176 100000\n23056 34620\n83812 100000\n20151 30273\n68113 100000\n45379 67932\n7273 10960\n59635 89408\n77408 100000\n96304 100000\n11339 17088\n7412 11164\n51220 76744\n84813 100000\n39398 58971\n75442 100000\n76594 100000\n3491 5271\n88060 100000\n42504 63657\n66365 99543\n20202 30352\n62994 94475\n52014 77906\n38884 58204\n23384 35102\n17708 26593\n26332 39504\n67162 100000\n70567 100000\n85838 100000\n98835 100000\n11486 17299\n835 1247\n55314 82861\n16835 25271\n149 216\n69615 100000\n19035 28588\n27356 41017\n42327 63390\n35392 52981\n98759 100000\n23110 34698\n60378 90524\n95175 100000\n68222 100000\n58611 87838\n82612 100000\n20064 30140\n84148 100000\n10728 16150\n20049 30120\n22911 34404\n45863 68665\n27004 40478\n72207 100000\n89750 100000\n78670 100000\n11047 16641\n57648 86402\n64063 96086\n11281 17000\n51524 77202\n25245 37869\n27768 41629\n34043 51004\n63069 94582\n73207 100000\n14807 22274\n76898 100000\n5519 8330\n40169 60142\n92456 100000\n89504 100000\n27585 41361\n35541 53212\n7180 10824\n36473 54622\n24231 36358\n17850 26801\n84103 100000\n51618 77333\n77954 100000\n12186 18336\n74476 100000\n22179 33314\n37307 55855\n29191 43740\n96449 100000\n62574 93844\n51234 76764\n61713 92534\n26050 39079\n96128 100000\n30816 46177\n57612 86352\n61668 92465\n40213 60206\n95691 100000\n6808 10285\n60514 90731\n24453 36702\n29123 43651\n44830 67123\n67793 100000\n71291 100000\n6120 9238\n56712 84987\n77842 100000\n95369 100000\n18760 28160\n22220 33381\n81826 100000\n78547 100000\n84220 100000\n49807 74628\n5155 7786\n31727 47533\n27029 40520\n97576 100000\n85760 100000\n62422 93616\n9587 14415\n55421 83028\n18097 27172\n86128 100000\n75275 100000\n52383 78459\n63491 95213\n67331 100000\n83757 100000\n71329 100000\n67280 100000\n79897 100000\n53137 79593\n40205 60194\n1873 2828\n34498 51678\n93542 100000\n61605 92373\n44193 66150\n47039 70424\n85025 100000\n72606 100000\n88864 100000\n56342 84421\n45219 67696\n66394 99579\n60129 90145\n12367 18617\n47440 71033\n66046 99063\n53327 79873\n50357 75447\n77590 100000\n49766 74563\n43257 64775\n98313 100000\n52408 78496\n82027 100000\n14618 21986\n31998 47939\n4907 7412\n12357 18602\n94296 100000\n69163 100000\n20836 31302\n82130 100000\n35358 52933\n3431 5181\n98957 100000\n1092 1639\n85794 100000\n49259 73793\n69193 100000\n94629 100000\n65441 98168\n27824 41717\n94885 100000\n35935 53794\n4662 7042\n14347 21591\n14064 21168\n94453 100000\n65479 98219\n65817 98721\n49107 73570\n13914 20932\n21177 31808\n44714 66951\n62701 94039\n38917 58252\n52198 78179\n72288 100000\n78180 100000\n46412 69482\n3439 5192\n77543 100000\n29838 44708\n79386 100000\n57745 86552\n61608 92377\n96978 100000\n59760 89605\n57306 85880\n24604 36923\n46450 69542\n28327 42470\n96719 100000\n77304 100000\n93787 100000\n63421 95104\n50359 75451\n98812 100000\n99487 100000\n64361 96539\n25358 38039\n50040 74980\n39454 59052\n51251 76790\n7596 11443\n75609 100000\n38068 56988\n63623 95419\n40691 60924\n80217 100000\n10732 16156\n50851 76186\n33780 50605\n55643 83365\n39789 59553\n75999 100000\n36836 55153\n28632 42927\n87612 100000\n41655 62379\n2877 4353\n82619 100000\n60373 90515\n27472 41193\n49309 73870\n56888 85252\n42990 64374\n54127 81086\n97636 100000\n88747 100000\n1252 1874\n10366 15600\n56265 84307\n42797 64087\n78866 100000\n23846 35785\n16512 24797\n42202 63203\n92400 100000\n99220 100000\n23772 35681\n70666 100000\n90094 100000\n95730 100000\n15568 23401\n17524 26311\n32168 48183\n11552 17397\n9740 14646\n40143 60101\n40042 59947\n88235 100000\n31377 47010\n53390 79972\n50604 75816\n37186 55674\n43119 64563\n57543 86243\n60717 91036\n10070 15149\n39975 59843\n28045 42049\n74805 100000\n97722 100000\n46713 69945\n38110 57051\n82551 100000\n32583 48799\n92479 100000\n46613 69797\n30107 45106\n94331 100000\n95222 100000\n60998 91443\n47993 71868\n71305 100000\n413 622\n96889 100000\n28619 42910\n47184 70643\n10806 16272\n70343 100000\n31790 47626\n19046 28606\n1648 2470\n3839 5786\n28326 42469\n24394 36610\n67049 100000\n23962 35958\n71568 100000\n890 1321\n92983 100000\n48076 71998\n52099 78032\n97525 100000\n55133 82585\n8711 13101\n84690 100000\n51629 77347\n65949 98926\n55877 83717\n48975 73368\n76260 100000\n9602 14433\n85940 100000\n13199 19865\n22447 33719\n65075 97619\n71729 100000\n22120 33225\n63183 94752\n21437 32196\n50036 74974\n45675 68379\n49930 74811\n57238 85768\n52300 78336\n13926 20950\n67739 100000\n48062 71974\n32469 48626\n84601 100000\n31563 47281\n39779 59534\n98457 100000\n85821 100000\n93169 100000\n22362 33591\n21565 32387\n76116 100000\n29420 44087\n75823 100000\n61465 92157\n31384 47019\n84566 100000\n47614 71292\n45310 67828\n3576 5393\n18763 28165\n68154 100000\n87005 100000\n28756 43105\n55906 83758\n52113 78050\n58722 88010\n58386 87511\n45308 67825\n9198 13834\n39851 59655\n11151 16803\n46118 69039\n79084 100000\n84776 100000\n37175 55659\n31920 47823\n81806 100000\n31088 46569\n44646 66840\n65039 97564\n78321 100000\n10489 15779\n75734 100000\n18596 27913\n20342 30560\n96979 100000\n28336 42485\n42041 62957\n81974 100000\n71857 100000\n47525 71158\n75373 100000\n19880 29867\n65237 97868\n20977 31512\n92167 100000\n17585 26402\n99066 100000\n50187 75189\n5055 7632\n57463 86113\n34295 51382\n94866 100000\n48484 72616\n22712 34108\n87649 100000\n38931 58271\n87743 100000\n21174 31804\n79753 100000\n99552 100000\n29637 44410\n3110 4707\n31061 46529\n31443 47102\n26172 39266\n48451 72567\n45436 68021\n54694 81938\n28102 42142\n37900 56733\n53201 79680\n86545 100000\n92383 100000\n73556 100000\n45060 67461\n14677 22076\n41447 62067\n31215 46770\n67178 100000\n47671 71375\n88365 100000\n27022 40508\n66685 100000\n2867 4338\n67374 100000\n81624 100000\n53632 80331\n60991 91434\n5525 8339\n20150 30271\n66865 100000\n46667 69873\n55224 82724\n87490 100000\n26048 39076\n45199 67667\n36257 54286\n87469 100000\n20115 30219\n23046 34606\n97992 100000\n77882 100000\n79381 100000\n26813 40198\n55797 83592\n79677 100000\n605 904\n69957 100000\n39776 59529\n17240 25878\n25002 37508\n45784 68540\n6705 10127\n99976 100000\n72529 100000\n87284 100000\n36900 55248\n55609 83309\n97494 100000\n17417 26152\n17196 25810\n91027 100000\n10492 15784\n13249 19947\n4888 7383\n65849 98775\n77258 100000\n7259 10939\n6192 9347\n94391 100000\n76837 100000\n9950 14967\n75964 100000\n11455 17254\n78853 100000\n11637 17524\n49700 74462\n21855 32825\n24571 36870\n80891 100000\n95567 100000\n25442 38167\n52818 79115\n38062 56979\n99364 100000\n37223 55729\n81472 100000\n50088 75048\n93141 100000\n30015 44969\n9802 14742\n88673 100000\n83136 100000\n4326 6528\n66695 100000\n93273 100000\n40426 60524\n8856 13323\n26127 39195\n71412 100000\n96520 100000\n62373 93536\n39980 59849\n59115 88604\n1495 2236\n92181 100000\n35815 53609\n52205 78191\n3445 5203\n11104 16728\n65176 97778\n66735 100000\n8671 13046\n84692 100000\n29660 44441\n11670 17577\n31155 46673\n73440 100000\n53896 80734\n44719 66958\n30806 46163\n89985 100000\n73592 100000\n12949 19495\n63633 95433\n76868 100000\n8076 12162\n47853 71653\n22190 33334\n39665 59358\n52571 78751\n92381 100000\n88376 100000\n19631 29497\n22968 34487\n47094 70505\n68443 100000\n54577 81760\n18957 28472\n93556 100000\n82809 100000\n7379 11116\n46780 70039\n4955 7485\n80262 100000\n9148 13755\n79221 100000\n94579 100000\n69923 100000\n57638 86388\n46944 70272\n42699 63941\n36212 54218\n28362 42522\n33986 50920\n43982 65829\n35589 53286\n37114 55565\n45697 68411\n4733 7147\n97920 100000\n78973 100000\n67423 100000\n71753 100000\n32662 48922\n77613 100000\n32978 49404\n78581 100000\n19623 29485\n76720 100000\n20077 30163\n9844 14809\n29619 44386\n96962 100000\n85013 100000\n62301 93437\n68347 100000\n83553 100000\n1457 2175\n71638 100000\n7533 11354\n58936 88331\n20185 30326\n1210 1811\n2590 3924\n37724 56469\n46134 69062\n2519 3818\n43389 64966\n12279 18483\n63060 94568\n72383 100000\n15224 22892\n96510 100000\n76746 100000\n79476 100000\n78875 100000\n12027 18096\n87980 100000\n75916 100000\n36160 54136\n58781 88105\n68254 100000\n11517 17348\n16894 25362\n35334 52897\n32503 48675\n61160 91695\n76056 100000\n55193 82678\n61841 92727\n66022 99028\n45347 67885\n31933 47840\n44052 65933\n57554 86263\n22869 34338\n96921 100000\n12904 19424\n17595 26415\n32433 48570\n68444 100000\n17794 26712\n64673 97003\n48060 71971\n42329 63392\n60191 90239\n65801 98700\n29447 44127\n56732 85018\n10956 16496\n62236 93334\n7136 10757\n6936 10473\n91943 100000\n54333 81395\n88926 100000\n19536 29351\n12965 19519\n91104 100000\n90203 100000\n54981 82356\n71855 100000\n24574 36876\n88819 100000\n7359 11087\n50201 75211\n42974 64354\n12138 18263\n10968 16513\n17384 26100\n2123 3207\n20391 30640\n97771 100000\n73219 100000\n51375 76976\n81715 100000\n46106 69024\n74275 100000\n80425 100000\n70554 100000\n29732 44547\n64950 97430\n92258 100000\n91816 100000\n33359 49975\n56594 84807\n59646 89425\n17884 26850\n93674 100000\n74315 100000\n3422 5168\n26597 39886\n47448 71045\n73204 100000\n33742 50549\n69274 100000\n95519 100000\n80825 100000\n56603 84822\n84561 100000\n9969 14997\n78094 100000\n50939 76321\n38490 57627\n50246 75280\n77969 100000\n818 1226\n4235 6396\n1616 2421\n54706 81953\n49132 73607\n6738 10178\n13605 20475\n4144 6254\n14827 22304\n62069 93078\n48019 71906\n32421 48553\n92262 100000\n89873 100000\n863 1284\n95268 100000\n63952 95918\n73978 100000\n34358 51474\n19997 30046\n97044 100000\n33747 50557\n80383 100000\n88785 100000\n76982 100000\n88137 100000\n1703 2558\n70190 100000\n47096 70508\n59011 88441\n8601 12944\n93545 100000\n10748 16180\n70281 100000\n42860 64177\n31649 47411\n85144 100000\n81943 100000\n49128 73602\n98791 100000\n63755 95623\n76170 100000\n39118 58559\n25958 38945\n91859 100000\n83111 100000\n4959 7490\n72052 100000\n1010 1514\n93292 100000\n25186 37781\n74377 100000\n51207 76724\n24863 37300\n55355 82925\n26696 40031\n83929 100000\n24210 36330\n2856 4320\n44388 66449\n72526 100000\n77832 100000\n9013 13552\n14663 22056\n38658 57856\n23349 35050\n17587 26405\n47739 71476\n35609 53312\n34664 51911\n78540 100000\n85073 100000\n33589 50320\n75376 100000\n4042 6095\n63985 95965\n28985 43447\n35255 52778\n1337 1997\n28456 42664\n18074 27136\n60268 90354\n40229 60229\n7202 10857\n59799 89658\n23139 34745\n18298 27473\n92196 100000\n52787 79067\n73839 100000\n64314 96470\n2653 4019\n51675 77415\n45543 68180\n25061 37600\n8231 12387\n73076 100000\n36320 54383\n40456 60571\n15227 22897\n65445 98174\n2829 4279\n81342 100000\n99200 100000\n67194 100000\n36732 55008\n59298 88888\n95607 100000\n303 452\n89301 100000\n59117 88607\n74783 100000\n3815 5747\n85888 100000\n64999 97503\n94841 100000\n78631 100000\n39195 58674\n32783 49110\n8112 12210\n17704 26587\n69243 100000\n95394 100000\n33129 49626\n90346 100000\n67221 100000\n14113 21247\n26268 39409\n83712 100000\n83616 100000\n94384 100000\n69161 100000\n12380 18637\n37234 55749\n79767 100000\n93241 100000\n28043 42046\n41963 62842\n95804 100000\n67680 100000\n52361 78428\n9937 14947\n57324 85907\n10993 16551\n95266 100000\n90089 100000\n23668 35528\n43693 65407\n99042 100000\n94605 100000\n18344 27538\n31948 47863\n13581 20440\n7330 11043\n98977 100000\n72576 100000\n79124 100000\n86092 100000\n6397 9649\n67181 100000\n92783 100000\n19999 30049\n47473 71080\n43078 64504\n76882 100000\n35977 53860\n98696 100000\n78745 100000\n30829 46195\n268 401\n64768 97144\n48997 73400\n52547 78716\n13065 19667\n80480 100000\n20967 31499\n35316 52868\n87667 100000\n93226 100000\n76420 100000\n41174 61656\n25873 38823\n35409 53007\n35421 53027\n38394 57484\n14944 22486\n57784 86604\n42049 62971\n40699 60934\n77966 100000\n86779 100000\n4769 7203\n95368 100000\n98060 100000\n92701 100000\n38243 57249\n76781 100000\n85541 100000\n7162 10795\n57738 86542\n13410 20188\n61000 91447\n29509 44217\n93053 100000\n14286 21497\n4054 6117\n45339 67873\n61302 91909\n74318 100000\n2036 3073\n25418 38131\n55886 83731\n59917 89835\n17936 26927\n16704 25071\n47193 70659\n63100 94628\n59255 88820\n29588 44342\n91326 100000\n90190 100000\n74148 100000\n69301 100000\n59931 89856\n47245 70744\n7382 11122\n51641 77365\n497 739\n48555 72726\n65725 98583\n6034 9114\n95295 100000\n41924 62787\n54427 81534\n29433 44107\n40328 60373\n98338 100000\n15728 23637\n75914 100000\n9426 14172\n13440 20233\n63999 95984\n78209 100000\n7036 10616\n44854 67160\n73798 100000\n85014 100000\n47444 71040\n34278 51358\n80609 100000\n79006 100000\n12413 18683\n50817 76135\n29396 44050\n17545 26343\n99917 100000\n8603 12948\n60312 90423\n32158 48167\n64172 96249\n89413 100000\n41965 62846\n45368 67918\n12830 19311\n52714 78956\n22172 33303\n66593 99890\n73190 100000\n66734 100000\n57873 86739\n43762 65516\n93692 100000\n72495 100000\n48288 72316\n43439 65037\n40472 60597\n48183 72153\n26100 39155\n48527 72682\n95827 100000\n57418 86049\n4878 7371\n96034 100000\n47723 71447\n99589 100000\n58771 88091\n82417 100000\n13583 20443\n93612 100000\n92307 100000\n10040 15105\n59331 88939\n53417 80010\n22819 34265\n10455 15731\n32660 48919\n98880 100000\n47855 71655\n34666 51915\n28757 43107\n71251 100000\n68073 100000\n78404 100000\n96570 100000\n40249 60257\n11020 16597\n54271 81304\n80954 100000\n15732 23644\n65765 98646\n23700 35576\n22635 33992\n596 892\n47080 70482\n65049 97578\n53395 79979\n48124 72061\n57607 86344\n44485 66593\n3100 4695\n99289 100000\n82499 100000\n46513 69645\n35332 52893\n92989 100000\n50825 76147\n98435 100000\n17210 25831\n13640 20530\n59398 89046\n54918 82266\n55262 82782\n64125 96179\n82387 100000\n20957 31484\n88438 100000\n55439 83057\n34991 52393\n40641 60851\n21045 31609\n90457 100000\n79440 100000\n54058 80987\n75374 100000\n31767 47590\n52692 78921\n40289 60313\n16188 24316\n99249 100000\n28566 42830\n17078 25634\n58493 87666\n97692 100000\n66997 100000\n59656 89439\n57168 85669\n163 237\n52512 78663\n87576 100000\n96594 100000\n86168 100000\n58277 87347\n28002 41978\n18809 28239\n69738 100000\n59566 89305\n98940 100000\n1558 2333\n52975 79347\n29970 44899\n19352 29080\n25440 38164\n29774 44611\n59451 89126\n33536 50243\n90341 100000\n94335 100000\n75530 100000\n99403 100000\n30701 46012\n79471 100000\n11487 17300\n56344 84424\n73536 100000\n23578 35394\n4355 6572\n34206 51252\n41660 62387\n1932 2920\n2294 3468\n51699 77450\n72827 100000\n43633 65326\n51281 76836\n72655 100000\n86374 100000\n15893 23877\n57631 86376\n88723 100000\n9012 13551\n35587 53284\n51103 76565\n70113 100000\n5189 7834\n73542 100000\n2732 4139\n80875 100000\n76030 100000\n10457 15734\n40754 61013\n70902 100000\n42086 63027\n72944 100000\n20480 30773\n56639 84878\n85427 100000\n98258 100000\n84751 100000\n7071 10662\n5889 8899\n46197 69157\n61463 92154\n66759 100000\n15328 23049\n14358 21607\n22377 33614\n50550 75736\n90972 100000\n89692 100000\n44799 67078\n6683 10089\n50795 76105\n40 57\n2477 3755\n79698 100000\n64170 96246\n91037 100000\n4401 6642\n45252 67745\n36250 54275\n73151 100000\n20517 30825\n57867 86729\n33888 50767\n93129 100000\n53539 80191\n86420 100000\n48344 72402\n79331 100000\n28523 42764\n64242 96361\n96830 100000\n46235 69223\n82975 100000\n39772 59522\n99721 100000\n55237 82743\n83947 100000\n92526 100000\n37334 55894\n25883 38836\n87442 100000\n91915 100000\n77866 100000\n24732 37111\n8703 13091\n24862 37299\n14227 21413\n24896 37351\n60614 90879\n16541 24840\n22808 34248\n99536 100000\n35867 53691\n73609 100000\n35775 53552\n34669 51918\n88633 100000\n9170 13792\n39000 58382\n23855 35798\n38832 58125\n88026 100000\n57628 86372\n17725 26617\n41594 62287\n22851 34312\n76796 100000\n24778 37173\n97013 100000\n83121 100000\n81575 100000\n50093 75056\n33395 50033\n1938 2929\n55825 83636\n89988 100000\n81439 100000\n60282 90376\n40486 60617\n77851 100000\n16806 25231\n19751 29666\n99655 100000\n78293 100000\n14729 22158\n4820 7281\n75637 100000\n95391 100000\n72149 100000\n39958 59818\n99702 100000\n64496 96737\n18062 27117\n47208 70683\n29659 44440\n65050 97580\n20851 31328\n53595 80277\n56579 84781\n56942 85330\n77715 100000\n80421 100000\n77409 100000\n59914 89830\n48377 72456\n33044 49504\n6659 10048\n48145 72095\n4519 6818\n8741 13153\n11579 17438\n33036 49490\n94007 100000\n34785 52096\n26771 40138\n25743 38621\n63406 95082\n49904 74776\n55461 83090\n75408 100000\n59358 88981\n48474 72603\n15623 23480\n91237 100000\n25652 38482\n41590 62281\n33422 50074\n67296 100000\n81704 100000\n78451 100000\n56239 84267\n30448 45627\n2183 3301\n1461 2180\n82345 100000\n12322 18544\n53246 79752\n79728 100000\n76640 100000\n29927 44840\n24483 36746\n28076 42096\n88531 100000\n33478 50157\n66576 99866\n86914 100000\n21861 32832\n20019 30077\n45122 67553\n90991 100000\n70270 100000\n19677 29561\n53174 79642\n30501 45708\n36332 54402\n62961 94429\n7045 10627\n70481 100000\n86122 100000\n34586 51798\n13137 19773\n72442 100000\n43942 65770\n97309 100000\n85052 100000\n55128 82580\n61798 92664\n97338 100000\n86745 100000\n53117 79561\n98784 100000\n39313 58843\n19 28\n50918 76286\n65903 98858\n67266 100000\n42556 63730\n12078 18174\n10017 15069\n57657 86415\n92404 100000\n11788 17753\n85368 100000\n13454 20251\n15453 23232\n48553 72723\n82964 100000\n24271 36422\n20890 31386\n8548 12858\n71405 100000\n91912 100000\n49376 73980\n19670 29550\n69619 100000\n65674 98503\n39702 59419\n53505 80137\n656 979\n24318 36494\n40873 61200\n55989 83886\n18046 27093\n76663 100000\n83614 100000\n18045 27091\n27337 40986\n58533 87725\n44097 66000\n58012 86951\n79794 100000\n63634 95435\n697 1043\n46263 69267\n48507 72649\n84040 100000\n25937 38914\n30646 45930\n18936 28438\n37516 56159\n69471 100000\n88472 100000\n74101 100000\n60662 90954\n71299 100000\n97645 100000\n31071 46544\n70147 100000\n48908 73270\n25716 38580\n23825 35756\n38380 57463\n27058 40564\n72938 100000\n80915 100000\n58362 87472\n41690 62436\n3165 4791\n30600 45861\n84258 100000\n46441 69530\n78751 100000\n20994 31532\n99265 100000\n48095 72021\n74543 100000\n29808 44664\n37278 55813\n86410 100000\n76290 100000\n40891 61230\n71027 100000\n90735 100000\n90557 100000\n91836 100000\n66422 99621\n81083 100000\n74785 100000\n77853 100000\n19589 29431\n5403 8154\n25143 37718\n84205 100000\n4534 6839\n13200 19866\n58973 88388\n21585 32417\n30927 46338\n95673 100000\n89137 100000\n75552 100000\n58853 88212\n964 1444\n17854 26805\n5626 8481\n85119 100000\n75075 100000\n99280 100000\n73126 100000\n4108 6199\n75624 100000\n42888 64218\n8193 12331\n52789 79070\n8688 13071\n60785 91135\n81016 100000\n16784 25196\n18291 27463\n23163 34777\n39739 59471\n11010 16579\n99910 100000\n98236 100000\n26330 39500\n81381 100000\n39397 58969\n91672 100000\n23849 35789\n30626 45899\n62292 93422\n34746 52034\n49490 74158\n75533 100000\n36724 54995\n54568 81748\n26965 40422\n63969 95942\n22496 33791\n83193 100000\n34499 51680\n95270 100000\n49139 73618\n99507 100000\n73433 100000\n45835 68618\n26096 39148\n71707 100000\n43570 65226\n8969 13491\n22879 34354\n39072 58489\n20813 31271\n16368 24578\n33177 49699\n27886 41803\n51871 77698\n13040 19627\n20654 31033\n33284 49867\n96615 100000\n67909 100000\n59537 89259\n85274 100000\n39321 58856\n6931 10467\n75773 100000\n65197 97809\n80778 100000\n65681 98513\n61714 92536\n81515 100000\n61932 92869\n60103 90109\n40108 60051\n98442 100000\n52560 78736\n26223 39342\n58577 87791\n21 31\n3584 5404\n11836 17823\n82404 100000\n82355 100000\n7830 11791\n30921 46328\n69912 100000\n84217 100000\n82803 100000\n20873 31361\n53653 80364\n47767 71516\n11190 16862\n87724 100000\n11436 17228\n77691 100000\n40481 60609\n3849 5801\n96661 100000\n53373 79947\n30497 45702\n19918 29927\n13048 19639\n3734 5622\n3060 4636\n16568 24878\n41644 62363\n28569 42835\n74694 100000\n36522 54695\n81311 100000\n39403 58980\n17389 26108\n49711 74481\n9496 14280\n43461 65068\n25017 37533\n90918 100000\n88954 100000\n71331 100000\n11675 17586\n22386 33627\n46931 70252\n11052 16650\n39649 59336\n40366 60436\n55249 82762\n24514 36787\n24327 36510\n70346 100000\n40150 60111\n52414 78506\n10723 16141\n2699 4090\n18636 27975\n20825 31289\n38151 57110\n78224 100000\n75958 100000\n25536 38305\n70378 100000\n60891 91282\n10744 16174\n29153 43695\n78282 100000\n88017 100000\n25327 37990\n77166 100000\n27562 41326\n66967 100000\n72174 100000\n83692 100000\n43131 64581\n49467 74120\n49438 74079\n10286 15479\n69083 100000\n53184 79657\n31621 47372\n94184 100000\n68872 100000\n11271 16985\n22131 33241\n9572 14393\n90111 100000\n83240 100000\n15879 23855\n64921 97387\n2629 3985\n60649 90935\n39650 59338\n61087 91584\n22544 33861\n50462 75596\n63252 94858\n73930 100000\n20314 30518\n70664 100000\n14046 21140\n39775 59527\n39449 59044\n27889 41807\n99225 100000\n66773 100000\n64443 96657\n24365 36567\n844 1258\n71343 100000\n30174 45207\n86001 100000\n84812 100000\n36111 54060\n93904 100000\n96959 100000\n93080 100000\n58029 86978\n11384 17151\n19373 29115\n1047 1572\n50065 75015\n92699 100000\n45837 68622\n5916 8941\n25632 38451\n13485 20292\n67864 100000\n29297 43906\n16328 24519\n4320 6518\n26674 39993\n63845 95765\n90893 100000\n70373 100000\n5188 7833\n45908 68729\n50713 75981\n58807 88141\n55109 82554\n10086 15177\n51322 76895\n95056 100000\n27212 40796\n72678 100000\n96131 100000\n19149 28769\n79537 100000\n78636 100000\n28667 42978\n44216 66187\n99832 100000\n60128 90143\n4287 6473\n11420 17204\n1612 2414\n4029 6075\n99083 100000\n16378 24593\n28107 42149\n58255 87313\n99905 100000\n90537 100000\n20408 30665\n96365 100000\n10215 15366\n47463 71065\n54130 81090\n12144 18271\n89582 100000\n48341 72398\n62813 94204\n88533 100000\n5681 8568\n26737 40088\n4499 6787\n85151 100000\n65958 98936\n46041 68923\n2837 4291\n13520 20343\n73074 100000\n73549 100000\n37140 55606\n96694 100000\n93442 100000\n86296 100000\n2216 3352\n74106 100000\n15020 22598\n90633 100000\n27804 41684\n66751 100000\n58104 87090\n7595 11442\n43086 64515\n15452 23230\n85662 100000\n92803 100000\n48012 71896\n42387 63483\n83048 100000\n82393 100000\n27192 40762\n94730 100000\n66715 100000\n54397 81486\n19553 29374\n34346 51455\n87884 100000\n18042 27086\n79153 100000\n98333 100000\n45767 68516\n44538 66671\n55347 82914\n42213 63220\n83224 100000\n57080 85539\n38690 57905\n9669 14541\n88556 100000\n16569 24879\n69699 100000\n97002 100000\n65911 98870\n40975 61356\n94821 100000\n63476 95190\n66672 100000\n71425 100000\n49 69\n5383 8126\n23743 35640\n50486 75634\n9425 14171\n45008 67384\n75872 100000\n12106 18214\n80380 100000\n84701 100000\n57432 86069\n82080 100000\n23094 34675\n62806 94195\n10682 16080\n7299 10996\n33866 50733\n93191 100000\n91162 100000\n94846 100000\n60188 90233\n28877 43287\n18138 27234\n56146 84128\n66589 99883\n24931 37396\n9095 13665\n28083 42108\n62071 93081\n48932 73302\n8337 12548\n55568 83251\n79486 100000\n5443 8215\n12046 18127\n3597 5424\n8885 13366\n87150 100000\n57752 86561\n57407 86028\n27538 41289\n13438 20231\n15684 23570\n53611 80302\n85890 100000\n78697 100000\n76362 100000\n22079 33161\n99766 100000\n12488 18800\n9509 14299\n54862 82183\n17336 26024\n17838 26782\n66482 99719\n13453 20249\n69842 100000\n91593 100000\n55034 82432\n39137 58588\n28631 42926\n98830 100000\n26451 39677\n47372 70934\n51393 77003\n16655 24994\n24792 37192\n89806 100000\n24334 36520\n69583 100000\n76920 100000\n22214 33371\n96133 100000\n4741 7161\n62289 93417\n64734 97096\n82630 100000\n2005 3026\n60547 90779\n90971 100000\n49809 74630\n95515 100000\n56719 84998\n54005 80904\n42311 63364\n82381 100000\n94603 100000\n96322 100000\n84496 100000\n60553 90787\n15500 23300\n83773 100000\n77262 100000\n19932 29951\n22012 33056\n26412 39623\n24116 36188\n92377 100000\n54934 82291\n86220 100000\n25359 38040\n31289 46879\n58579 87793\n38878 58197\n56930 85313\n99958 100000\n29962 44884\n4305 6500\n83207 100000\n55383 82966\n60809 91167\n43746 65491\n12509 18828\n9546 14355\n84828 100000\n49923 74800\n31128 46631\n53035 79437\n85649 100000\n91662 100000\n36512 54680\n2346 3553\n18569 27876\n34866 52210\n80248 100000\n68094 100000\n43814 65586\n45149 67592\n37213 55712\n27198 40773\n77349 100000\n93478 100000\n62845 94255\n92672 100000\n19698 29588\n56088 84041\n14904 22422\n15488 23282\n18201 27326\n70282 100000\n1837 2770\n11840 17828\n83759 100000\n71085 100000\n21402 32142\n63837 95753\n46352 69395\n25208 37813\n2010 3032\n65016 97527\n75945 100000\n8893 13377\n30928 46340\n36273 54311\n81673 100000\n53932 80791\n58025 86972\n56818 85148\n86865 100000\n5176 7817\n46550 69703\n96144 100000\n75114 100000\n82620 100000\n94052 100000\n5540 8360\n97883 100000\n47396 70969\n59568 89308\n66738 100000\n29125 43654\n63359 95012\n73016 100000\n57636 86384\n90698 100000\n14210 21390\n32239 48291\n59338 88949\n72551 100000\n60537 90764\n5430 8194\n71917 100000\n3989 6013\n15781 23713\n13100 19715\n3388 5120\n32403 48525\n28508 42740\n90668 100000\n63456 95155\n22036 33091\n12377 18633\n24560 36854\n34242 51305\n62747 94111\n41306 61858\n36395 54499\n87291 100000\n42517 63673\n4004 6035\n98723 100000\n67030 100000\n65535 98304\n73515 100000\n61576 92331\n14098 21228\n96844 100000\n10877 16375\n96667 100000\n28873 43282\n49684 74440\n9271 13946\n99959 100000\n8183 12315\n10905 16424\n99798 100000\n51965 77835\n69877 100000\n31525 47225\n86585 100000\n71772 100000\n23265 34926\n80591 100000\n64887 97335\n47273 70785\n54805 82105\n74373 100000\n92054 100000\n30132 45146\n77243 100000\n23778 35691\n20828 31293\n3420 5166\n98049 100000\n62271 93389\n50315 75383\n61600 92367\n99692 100000\n88411 100000\n26750 40106\n17657 26519\n35292 52832\n91154 100000\n74548 100000\n46690 69909\n98003 100000\n13169 19822\n78593 100000\n22444 33714\n43636 65329\n56478 84625\n21335 32034\n22766 34188\n61950 92902\n34625 51856\n82766 100000\n99670 100000\n9756 14672\n16959 25456\n96698 100000\n76897 100000\n55227 82729\n29176 43724\n7844 11812\n30862 46245\n67409 100000\n96847 100000\n6224 9389\n94353 100000\n87119 100000\n35679 53413\n15015 22591\n73849 100000\n93839 100000\n43218 64714\n97615 100000\n280 416\n4391 6626\n87140 100000\n57761 86573\n59905 89816\n81907 100000\n1263 1889\n90333 100000\n98518 100000\n88294 100000\n52006 77891\n24071 36119\n29603 44362\n84835 100000\n44767 67028\n54460 81585\n7935 11951\n54166 81146\n21894 32881\n33350 49963\n37342 55904\n1095 1643\n59369 88999\n99390 100000\n64674 97004\n98438 100000\n44478 66584\n71040 100000\n95616 100000\n34503 51688\n42565 63743\n48850 73181\n70893 100000\n319 477\n72796 100000\n1868 2820\n95395 100000\n75766 100000\n58149 87159\n36697 54954\n74740 100000\n11469 17276\n24307 36475\n88389 100000\n37054 55474\n11682 17596\n54688 81929\n95905 100000\n90213 100000\n35985 53872\n73846 100000\n47680 71390\n38734 57968\n20941 31462\n59585 89334\n97796 100000\n61770 92622\n69958 100000\n10855 16343\n57191 85699\n69316 100000\n71323 100000\n51022 76443\n54696 81940\n12940 19481\n87845 100000\n89993 100000\n10899 16413\n37683 56409\n79628 100000\n47873 71683\n64694 97034\n68201 100000\n19026 28575\n79977 100000\n31461 47129\n42617 63817\n39266 58776\n78613 100000\n19375 29118\n38623 57812\n4447 6712\n61958 92918\n14637 22017\n47831 71617\n21139 31754\n98887 100000\n76704 100000\n20244 30418\n43521 65157\n4199 6339\n10324 15535\n86251 100000\n60580 90827\n4148 6259\n77684 100000\n17601 26424\n26757 40117\n13245 19941\n80674 100000\n46703 69931\n37395 55978\n89810 100000\n54567 81747\n50876 76220\n50190 75194\n20724 31139\n75269 100000\n39970 59836\n16660 25002\n27521 41264\n13047 19638\n77620 100000\n38597 57774\n96504 100000\n68358 100000\n22906 34396\n18751 28145\n17101 25667\n58741 88041\n16277 24448\n62530 93781\n2098 3171\n44908 67241\n19486 29281\n95738 100000\n40164 60134\n43996 65850\n57298 85867\n7571 11410\n37837 56637\n81229 100000\n44833 67127\n64320 96479\n54102 81056\n28696 43020\n4824 7287\n98843 100000\n81059 100000\n77087 100000\n28003 41979\n82522 100000\n24152 36244\n24030 36060\n51108 76574\n32595 48818\n78206 100000\n82126 100000\n27627 41420\n26731 40078\n89530 100000\n29286 43887\n58556 87758\n4066 6136\n44340 66375\n97868 100000\n33972 50897\n64760 97133\n70299 100000\n64221 96329\n39687 59394\n69760 100000\n39938 59789\n83605 100000\n32013 47958\n33344 49952\n84899 100000\n70650 100000\n14327 21562\n81408 100000\n77524 100000\n1429 2135\n80471 100000\n12875 19381\n31709 47508\n85191 100000\n81012 100000\n91080 100000\n23903 35869\n35788 53571\n61741 92576\n67135 100000\n71997 100000\n27182 40748\n18460 27713\n18018 27050\n83316 100000\n68804 100000\n42360 63443\n8359 12581\n72951 100000\n8083 12171\n45414 67986\n13692 20605\n84793 100000\n8556 12871\n55656 83382\n11857 17851\n71914 100000\n6016 9086\n84887 100000\n99831 100000\n6745 10188\n85437 100000\n94954 100000\n49261 73797\n17052 25596\n20515 30823\n66382 99564\n11492 17309\n10179 15316\n43387 64964\n62421 93615\n10058 15131\n82043 100000\n63385 95052\n76773 100000\n54253 81274\n41961 62839\n63240 94839\n81234 100000\n31890 47774\n11700 17619\n54914 82260\n48651 72874\n8380 12610\n71413 100000\n93650 100000\n11451 17248\n99125 100000\n81338 100000\n80949 100000\n6194 9350\n64202 96301\n64321 96480\n27195 40768\n70376 100000\n86633 100000\n10032 15092\n52344 78404\n90827 100000\n72036 100000\n35423 53030\n38203 57190\n31328 46935\n4834 7300\n58631 87870\n30695 46004\n20596 30946\n78629 100000\n99634 100000\n24393 36609\n49577 74279\n28937 43376\n63681 95511\n77056 100000\n83703 100000\n70073 100000\n20826 31290\n903 1342\n14285 21496\n94415 100000\n14280 21489\n20075 30159\n86904 100000\n5338 8057\n21710 32605\n34154 51175\n14872 22374\n65168 97766\n80770 100000\n89735 100000\n41735 62501\n91304 100000\n39483 59092\n77062 100000\n68918 100000\n4682 7071\n33038 49493\n77264 100000\n57978 86901\n34983 52382\n40757 61017\n34493 51670\n20024 30083\n85619 100000\n94803 100000\n17072 25624\n79479 100000\n20535 30854\n67931 100000\n88685 100000\n48585 72770\n27102 40629\n90299 100000\n8213 12359\n78268 100000\n288 429\n61172 91713\n77798 100000\n58978 88395\n78275 100000\n6994 10562\n39107 58538\n4373 6598\n99643 100000\n83459 100000\n33228 49778\n33991 50926\n94559 100000\n34744 52031\n19155 28779\n88209 100000\n3929 5920\n49110 73574\n61559 92304\n54124 81083\n79843 100000\n90435 100000\n891 1323\n89131 100000\n29467 44156\n4801 7249\n1872 2826\n21874 32854\n67798 100000\n14916 22439\n8920 13414\n26365 39550\n88045 100000\n56892 85257\n81106 100000\n94463 100000\n75819 100000\n91469 100000\n38340 57401\n27367 41036\n62557 93823\n24961 37442\n65533 98301\n15900 23887\n55493 83138\n75254 100000\n37422 56019\n37580 56254\n8892 13376\n14528 21854\n35828 53631\n72389 100000\n73446 100000\n61441 92118\n46420 69496\n67063 100000\n85992 100000\n40720 60967\n8534 12838\n11395 17167\n41086 61521\n94137 100000\n1097 1646\n71045 100000\n26873 40289\n58551 87751\n8837 13293\n4335 6543\n29929 44842\n86818 100000\n42419 63529\n83099 100000\n5706 8606\n50022 74951\n92714 100000\n63752 95618\n99470 100000\n18994 28527\n62195 93270\n11425 17212\n87014 100000\n80886 100000\n78056 100000\n50708 75973\n38898 58224\n67637 100000\n42899 64234\n99965 100000\n53992 80884\n25352 38030\n63088 94612\n24008 36028\n51899 77740\n29390 44040\n85640 100000\n66043 99058\n29432 44106\n68637 100000\n17270 25920\n68220 100000\n85938 100000\n19943 29966\n62096 93122\n93600 100000\n28935 43374\n99238 100000\n59526 89243\n10284 15476\n99086 100000\n72879 100000\n60518 90737\n80157 100000\n91115 100000\n77288 100000\n3784 5701\n25769 38664\n49712 74483\n95354 100000\n50748 76034\n71926 100000\n88222 100000\n19634 29502\n98706 100000\n56870 85226\n59698 89506\n3082 4668\n20787 31231\n92638 100000\n66380 99562\n72017 100000\n99949 100000\n21096 31689\n34879 52233\n34788 52101\n4206 6349\n19381 29127\n82741 100000\n65416 98130\n37078 55512\n71091 100000\n70381 100000\n69048 100000\n58835 88184\n31252 46826\n13117 19742\n20112 30215\n30325 45444\n11628 17510\n73079 100000\n13768 20712\n65861 98791\n30864 46247\n56869 85224\n91566 100000\n78018 100000\n51478 77130\n41076 61505\n43422 65015\n67890 100000\n80335 100000\n14799 22264\n7925 11936\n78983 100000\n19658 29533\n30264 45349\n31171 46698\n34478 51650\n63729 95583\n54213 81214\n895 1329\n43819 65591\n45938 68773\n67962 100000\n7042 10623\n42359 63441\n8379 12608\n40763 61026\n82979 100000\n16638 24972\n67001 100000\n75345 100000\n79721 100000\n50481 75625\n35890 53726\n55510 83161\n56154 84140\n50221 75241\n90815 100000\n58016 86958\n12603 18974\n31860 47732\n67188 100000\n97759 100000\n99672 100000\n59830 89704\n78422 100000\n20003 30055\n62965 94434\n1651 2475\n9324 14024\n62052 93056\n37091 55534\n34392 51526\n99055 100000\n37280 55816\n16718 25091\n22783 34213\n79301 100000\n47657 71353\n10114 15218\n73859 100000\n98436 100000\n8914 13405\n93199 100000\n29564 44303\n76128 100000\n42452 63576\n27361 41025\n35722 53475\n72140 100000\n35704 53451\n24834 37253\n10836 16320\n65584 98372\n31166 46691\n27862 41767\n70097 100000\n98865 100000\n58619 87850\n58665 87922\n91576 100000\n16748 25136\n89926 100000\n73428 100000\n85676 100000\n22761 34181\n4141 6249\n44309 66328\n20083 30172\n49880 74742\n69290 100000\n12452 18745\n15362 23102\n74799 100000\n47160 70606\n41001 61395\n87601 100000\n75355 100000\n43828 65607\n17600 26423\n54470 81600\n69831 100000\n4673 7059\n68366 100000\n95857 100000\n9959 14981\n80685 100000\n56768 85071\n98446 100000\n71634 100000\n72937 100000\n26888 40312\n24239 36369\n36308 54366\n66941 100000\n14431 21711\n11435 17226\n58636 87877\n79263 100000\n24630 36963\n8639 12997\n88399 100000\n95082 100000\n44282 66286\n38054 56967\n77800 100000\n7276 10964\n4538 6847\n46981 70332\n32513 48690\n17575 26387\n82890 100000\n30943 46362\n76087 100000\n81002 100000\n56380 84478\n72334 100000\n13679 20586\n83645 100000\n69009 100000\n68295 100000\n4985 7527\n29625 44396\n40885 61221\n39936 59786\n58926 88317\n83988 100000\n19916 29925\n62344 93492\n70747 100000\n22576 33904\n54052 80978\n43604 65275\n36352 54435\n33978 50906\n28993 43457\n52802 79090\n62007 92992\n49949 74842\n11665 17568\n31863 47737\n52827 79130\n27208 40791\n23298 34976\n79223 100000\n57690 86468\n94931 100000\n67479 100000\n19349 29077\n92770 100000\n4997 7543\n23145 34755\n56256 84292\n23315 35000\n30984 46421\n84877 100000\n65551 98326\n73521 100000\n34153 51173\n66504 99754\n91458 100000\n41782 62575\n77564 100000\n74889 100000\n65927 98893\n64403 96600\n83747 100000\n8184 12317\n38808 58085\n33508 50202\n38724 57953\n95283 100000\n87042 100000\n36009 53910\n72439 100000\n195 289\n85999 100000\n92883 100000\n43013 64406\n42314 63370\n97127 100000\n67877 100000\n40735 60986\n71385 100000\n84018 100000\n1519 2275\n79827 100000\n28436 42634\n25982 38977\n33826 50674\n31574 47296\n5990 9051\n62604 93889\n68093 100000\n68623 100000\n33566 50284\n36890 55233\n53836 80645\n89899 100000\n64487 96722\n74588 100000\n19002 28538\n75559 100000\n8230 12385\n51179 76683\n14986 22546\n9020 13562\n4456 6725\n82428 100000\n57911 86798\n30930 46343\n7103 10709\n13012 19590\n32230 48275\n85225 100000\n36351 54434\n10893 16403\n23231 34877\n94039 100000\n27277 40891\n20197 30346\n9042 13589\n52270 78289\n56289 84338\n15982 24003\n93946 100000\n27887 41804\n81086 100000\n32174 48192\n91289 100000\n43681 65391\n10475 15761\n28507 42738\n16997 25517\n42465 63598\n26555 39826\n29288 43890\n72990 100000\n14792 22253\n41131 61590\n98032 100000\n19607 29461\n53336 79886\n24036 36068\n18014 27043\n71767 100000\n3986 6009\n54364 81442\n48432 72541\n94467 100000\n58554 87756\n3314 5010\n98220 100000\n19060 28628\n52704 78938\n95944 100000\n45659 68356\n95807 100000\n55027 82424\n36444 54580\n19701 29593\n17580 26396\n50848 76180\n23942 35928\n69805 100000\n26740 40092\n56556 84746\n25894 38853\n54521 81680\n56742 85032\n10360 15589\n71744 100000\n93951 100000\n58812 88149\n78489 100000\n72033 100000\n61419 92085\n51728 77490\n19342 29067\n18807 28235\n75965 100000\n51902 77745\n3787 5705\n3260 4928\n97885 100000\n47224 70709\n76634 100000\n52269 78288\n45206 67678\n66107 99160\n589 882\n69010 100000\n72115 100000\n12602 18973\n36350 54432\n79323 100000\n67152 100000\n73965 100000\n60354 90483\n52460 78584\n49036 73456\n10261 15441\n7954 11980\n98949 100000\n52769 79038\n86701 100000\n4849 7323\n2819 4260\n19717 29616\n9541 14348\n67868 100000\n18241 27387\n66843 100000\n70026 100000\n12404 18672\n58307 87394\n42550 63721\n3511 5298\n13243 19937\n27320 40958\n8998 13533\n68970 100000\n23630 35473\n20216 30374\n66531 99796\n17133 25715\n86181 100000\n61417 92082\n94872 100000\n9390 14124\n39689 59397\n34052 51018\n37159 55634\n30009 44960\n23436 35180\n31979 47911\n37699 56433\n40666 60889\n31129 46633\n24678 37032\n41196 61691\n69369 100000\n57064 85517\n81733 100000\n86605 100000\n32804 49144\n39543 59178\n10797 16257\n68590 100000\n7801 11748\n61711 92531\n35432 53046\n97901 100000\n10236 15403\n70702 100000\n2386 3617\n71608 100000\n68592 100000\n32177 48197\n34300 51391\n20353 30579\n3136 4747\n43053 64464\n76903 100000\n67515 100000\n92571 100000\n78460 100000\n82180 100000\n44187 66141\n21210 31855\n87900 100000\n18528 27812\n31242 46811\n51964 77834\n87330 100000\n25204 37809\n57358 85955\n28703 43029\n26166 39256\n56299 84354\n48714 72973\n40183 60163\n85724 100000\n69613 100000\n39858 59666\n13021 19600\n54498 81644\n36158 54134\n21187 31822\n64862 97293\n64718 97072\n50258 75297\n13016 19595\n69546 100000\n60850 91226\n96851 100000\n86117 100000\n91910 100000\n79032 100000\n83722 100000\n62405 93588\n39753 59494\n73029 100000\n7339 11055\n31596 47333\n79484 100000\n25902 38864\n62140 93187\n61045 91517\n20099 30196\n93697 100000\n78700 100000\n28975 43433\n99835 100000\n46391 69454\n42366 63453\n43631 65323\n66425 99624\n99717 100000\n17720 26609\n12268 18466\n98213 100000\n18820 28257\n91935 100000\n5555 8378\n69155 100000\n18445 27691\n25727 38600\n15942 23948\n25961 38949\n5407 8159\n17671 26539\n49260 73795\n12356 18600\n47754 71499\n37807 56600\n60114 90124\n91244 100000\n86642 100000\n60072 90066\n90315 100000\n58806 88139\n60815 91177\n66935 100000\n28080 42103\n77327 100000\n22246 33419\n28503 42733\n90832 100000\n64755 97124\n88385 100000\n83731 100000\n82960 100000\n32047 48004\n18256 27409\n45239 67727\n87607 100000\n44858 67166\n3513 5301\n16144 24242\n43708 65432\n83617 100000\n73237 100000\n72624 100000\n45353 67894\n35953 53821\n79617 100000\n63588 95364\n52581 78766\n43484 65105\n63868 95799\n52945 79306\n21619 32471\n15250 22933\n18740 28128\n6398 9650\n15221 22886\n15700 23591\n99578 100000\n42650 63864\n42609 63806\n38590 57764\n12822 19298\n88182 100000\n32812 49157\n31194 46736\n20461 30748\n79173 100000\n63314 94951\n29347 43975\n73976 100000\n61742 92577\n33981 50912\n48558 72732\n57034 85471\n96083 100000\n44377 66433\n87492 100000\n67778 100000\n19403 29160\n3309 5003\n74913 100000\n91057 100000\n46592 69769\n21097 31691\n71081 100000\n72940 100000\n71611 100000\n34509 51695\n70312 100000\n11755 17704\n38111 57052\n63122 94665\n16295 24474\n96190 100000\n14436 21718\n63839 95756\n44664 66871\n70794 100000\n34298 51387\n17446 26195\n39099 58529\n42543 63712\n99391 100000\n77834 100000\n34053 51019\n40364 60432\n40370 60441\n42711 63959\n68487 100000\n50993 76400\n33513 50208\n8308 12506\n81562 100000\n50480 75624\n15406 23166\n64599 96894\n93403 100000\n61492 92199\n57165 85664\n91043 100000\n29387 44034\n51615 77328\n72084 100000\n8539 12844\n1050 1576\n20026 30086\n23655 35506\n37944 56798\n22465 33744\n97472 100000\n51267 76814\n96702 100000\n30228 45292\n36233 54253\n61426 92098\n59112 88599\n4598 6944\n66015 99019\n30181 45220\n244 367\n66629 99944\n70450 100000\n49347 73930\n24031 36061\n91333 100000\n1685 2532\n11865 17863\n84727 100000\n83079 100000\n87286 100000\n53341 79895\n5586 8424\n1353 2024\n98852 100000\n70074 100000\n94654 100000\n36393 54496\n64632 96941\n67594 100000\n71666 100000\n3580 5398\n44130 66055\n60965 91394\n11165 16825\n54338 81403\n24741 37123\n27095 40619\n20283 30472\n21330 32027\n26225 39345\n35037 52460\n30110 45110\n1786 2691\n27227 40817\n49292 73843\n22980 34505\n59360 88985\n39782 59540\n31601 47342\n43701 65421\n95572 100000\n73340 100000\n24941 37413\n59102 88582\n68341 100000\n11391 17162\n87243 100000\n39895 59723\n91574 100000\n75455 100000\n99516 100000\n20378 30618\n40568 60741\n77461 100000\n22132 33242\n97925 100000\n28629 42922\n27211 40795\n29712 44517\n91752 100000\n50850 76184\n79292 100000\n36101 54045\n6766 10220\n56246 84277\n55090 82524\n53817 80618\n65087 97637\n40441 60550\n11477 17286\n46965 70306\n47041 70428\n44900 67229\n49821 74649\n48191 72167\n75527 100000\n95281 100000\n55917 83775\n58818 88158\n94352 100000\n2458 3727\n24278 36433\n96495 100000\n2781 4204\n53939 80800\n68332 100000\n54015 80917\n97315 100000\n91493 100000\n67533 100000\n90687 100000\n47570 71225\n68 99\n80338 100000\n83332 100000\n14763 22208\n57430 86065\n23725 35615\n31881 47762\n71600 100000\n99102 100000\n78585 100000\n18831 28275\n45388 67947\n27371 41041\n28652 42956\n44267 66265\n77664 100000\n74264 100000\n22877 34350\n84569 100000\n72215 100000\n7581 11424\n20284 30473\n7586 11430\n88180 100000\n72535 100000\n20236 30404\n30030 44993\n23449 35199\n54085 81030\n22507 33808\n78214 100000\n16206 24338\n88976 100000\n36030 53943\n27970 41927\n39588 59244\n19921 29932\n42629 63834\n65711 98561\n50907 76268\n39807 59584\n60117 90129\n27791 41665\n78309 100000\n44313 66333\n4134 6238\n27179 40743\n33761 50577\n46443 69532\n30733 46058\n41067 61491\n2616 3967\n29250 43829\n71093 100000\n3610 5442\n42851 64165\n69664 100000\n40280 60302\n84073 100000\n97158 100000\n97670 100000\n3979 5998\n71324 100000\n80117 100000\n3244 4906\n46394 69457\n43628 65318\n83482 100000\n83845 100000\n78196 100000\n95156 100000\n99167 100000\n65242 97875\n65540 98310\n87086 100000\n98088 100000\n17721 26611\n48873 73218\n98473 100000\n73730 100000\n37037 55448\n25898 38857\n26371 39561\n3328 5034\n65208 97826\n32491 48658\n90099 100000\n46344 69383\n4371 6595\n33822 50668\n69131 100000\n16783 25194\n69025 100000\n81801 100000\n28172 42248\n66711 100000\n61266 91856\n51734 77500\n65892 98841\n17471 26231\n87541 100000\n17233 25866\n15993 24020\n38677 57882\n21912 32907\n44251 66243\n44128 66051\n82257 100000\n29818 44678\n34215 51266\n24946 37419\n47181 70639\n24026 36054\n67882 100000\n11936 17960\n71189 100000\n92140 100000\n76769 100000\n64867 97302\n99365 100000\n90886 100000\n91532 100000\n75152 100000\n22910 34402\n95257 100000\n99103 100000\n89752 100000\n49757 74550\n29327 43948\n61317 91929\n14539 21868\n75178 100000\n39817 59602\n26319 39483\n30611 45876\n20816 31276\n64283 96421\n32324 48414\n980 1468\n42980 64362\n30566 45807\n33077 49550\n83161 100000\n60913 91317\n81320 100000\n36485 54641\n85844 100000\n91822 100000\n41124 61577\n70406 100000\n71669 100000\n32073 48044\n44436 66518\n91649 100000\n55170 82641\n85351 100000\n60763 91105\n21599 32439\n78357 100000\n61478 92180\n21832 32790\n15114 22731\n66172 99254\n70960 100000\n69418 100000\n70449 100000\n11630 17513\n21168 31794\n33738 50544\n92369 100000\n80708 100000\n83657 100000\n27752 41602\n68213 100000\n20680 31070\n29468 44157\n998 1496\n8931 13430\n31477 47151\n45606 68277\n38152 57112\n86668 100000\n88715 100000\n5795 8749\n83751 100000\n98532 100000\n77653 100000\n88959 100000\n37756 56519\n10072 15152\n73416 100000\n7235 10907\n33419 50069\n7021 10597\n79415 100000\n67397 100000\n25831 38759\n79742 100000\n38973 58338\n11526 17361\n92639 100000\n77222 100000\n84958 100000\n95553 100000\n57928 86826\n62652 93964\n2476 3753\n81346 100000\n68040 100000\n48006 71888\n72825 100000\n68667 100000\n65179 97783\n37670 56389\n66212 99314\n64088 96123\n72480 100000\n22014 33059\n17395 26117\n15772 23701\n1835 2768\n59250 88810\n37322 55878\n78944 100000\n48821 73140\n79630 100000\n84949 100000\n33396 50034\n14755 22196\n43610 65286\n44982 67346\n37267 55797\n51863 77686\n70771 100000\n64035 96040\n15744 23661\n66027 99036\n32488 48653\n34631 51866\n91248 100000\n80758 100000\n69940 100000\n4252 6421\n86810 100000\n97986 100000\n7551 11380\n33748 50559\n16756 25149\n96878 100000\n38036 56939\n49434 74074\n71509 100000\n58950 88351\n87763 100000\n33074 49547\n13551 20394\n1459 2178\n37521 56166\n26301 39458\n65149 97736\n41449 62069\n54954 82319\n8229 12383\n62331 93475\n74240 100000\n85433 100000\n25097 37652\n92438 100000\n75229 100000\n51885 77718\n79326 100000\n45741 68477\n94915 100000\n12264 18461\n27844 41744\n76724 100000\n17592 26411\n42714 63965\n15235 22909\n96370 100000\n91828 100000\n47161 70608\n45696 68410\n22189 33332\n3666 5520\n2949 4466\n32495 48664\n79425 100000\n76127 100000\n97967 100000\n37376 55951\n28764 43116\n46085 68992\n62384 93553\n8551 12863\n59564 89301\n82932 100000\n64324 96484\n90811 100000\n32740 49044\n55137 82590\n25219 37832\n57983 86908\n23101 34685\n41656 62380\n68729 100000\n41494 62137\n96315 100000\n5268 7952\n41489 62132\n5302 8003\n65205 97822\n67075 100000\n18350 27550\n80868 100000\n7591 11436\n16306 24490\n79155 100000\n44163 66105\n52105 78039\n49356 73945\n82445 100000\n72129 100000\n2495 3781\n47527 71161\n83611 100000\n18142 27242\n2811 4247\n967 1449\n32676 48942\n34630 51864\n60340 90463\n13256 19957\n87633 100000\n80063 100000\n3944 5944\n76648 100000\n23694 35567\n46452 69546\n29485 44181\n99 145\n10225 15384\n43412 65000\n80556 100000\n69263 100000\n54457 81581\n71034 100000\n94287 100000\n23833 35767\n35193 52683\n42793 64081\n66007 99007\n62556 93821\n64399 96593\n83479 100000\n35990 53879\n37184 55672\n98208 100000\n15632 23491\n93263 100000\n30720 46039\n51626 77343\n6166 9308\n1613 2415\n48948 73324\n60884 91271\n20297 30490\n6404 9659\n43193 64675\n80553 100000\n5956 9002\n4814 7271\n66525 99787\n18703 28076\n67240 100000\n3402 5141\n39012 58402\n67726 100000\n59249 88808\n2229 3372\n80245 100000\n34112 51111\n88166 100000\n47451 71049\n87760 100000\n77192 100000\n74225 100000\n98695 100000\n52615 78812\n72695 100000\n33656 50432\n65753 98628\n19418 29181\n55185 82666\n51852 77674\n12597 18965\n2833 4285\n89543 100000\n43363 64927\n32841 49198\n97508 100000\n82585 100000\n31473 47147\n10783 16234\n77084 100000\n82419 100000\n53045 79454\n45084 67497\n99930 100000\n20948 31471\n34920 52288\n99385 100000\n29693 44484\n64238 96355\n48343 72401\n37288 55828\n64347 96522\n90496 100000\n33168 49683\n99489 100000\n10338 15554\n92477 100000\n80761 100000\n13897 20908\n15249 22931\n83865 100000\n90103 100000\n13895 20905\n4367 6589\n91558 100000\n44337 66372\n63637 95439\n5208 7864\n47820 71602\n45883 68694\n98021 100000\n42229 63242\n26098 39152\n66503 99753\n68648 100000\n95737 100000\n49436 74077\n9361 14080\n66224 99334\n52944 79305\n73833 100000\n61975 92944\n12945 19489\n5106 7715\n42717 63968\n57167 85667\n35201 52693\n88322 100000\n39904 59738\n95709 100000\n8983 13512\n59401 89052\n75184 100000\n92713 100000\n60898 91293\n49885 74749\n39085 58508\n3743 5638\n48358 72426\n69880 100000\n24204 36321\n56738 85027\n30633 45911\n3148 4768\n20574 30912\n95494 100000\n45882 68693\n89240 100000\n22905 34394\n78303 100000\n47866 71672\n74309 100000\n94134 100000\n38136 57089\n2204 3333\n63836 95751\n42747 64012\n50529 75702\n95878 100000\n60478 90673\n86495 100000\n55618 83326\n56811 85138\n60384 90532\n72762 100000\n78525 100000\n16637 24970\n55921 83783\n87478 100000\n10757 16195\n71550 100000\n51247 76784\n6563 9906\n39822 59611\n47298 70820\n88345 100000\n86057 100000\n10490 15781\n79803 100000\n15571 23404\n90614 100000\n62987 94467\n28119 42168\n63487 95207\n2117 3197\n28912 43338\n7686 11577\n5908 8930\n45762 68509\n34959 52347\n68159 100000\n22126 33234\n29768 44600\n38759 58008\n7496 11296\n61277 91872\n20492 30791\n54774 82058\n2724 4126\n69520 100000\n80437 100000\n68165 100000\n44203 66166\n47002 70366\n88902 100000\n34637 51872\n49045 73470\n13036 19622\n73733 100000\n5085 7681\n15415 23179\n35203 52696\n91986 100000\n57486 86150\n54700 81944\n26058 39092\n79615 100000\n62682 94010\n14570 21917\n27193 40764\n75088 100000\n46429 69509\n39568 59216\n4223 6376\n56937 85323\n52963 79329\n67773 100000\n25978 38972\n41365 61940\n68533 100000\n4113 6206\n96103 100000\n98789 100000\n72290 100000\n60798 91152\n59251 88812\n58042 86996\n36520 54692\n9605 14437\n80463 100000\n99410 100000\n12135 18260\n11260 16969\n33398 50036\n51372 76972\n36295 54346\n84789 100000\n11903 17913\n54701 81945\n73699 100000\n59685 89485\n22762 34183\n56460 84598\n7253 10932\n50653 75891\n72464 100000\n32834 49189\n85042 100000\n89448 100000\n68825 100000\n12794 19259\n72458 100000\n25454 38187\n56575 84775\n69944 100000\n87074 100000\n2265 3428\n76310 100000\n98935 100000\n21885 32869\n5589 8428\n58404 87539\n99529 100000\n98795 100000\n26489 39731\n69858 100000\n81726 100000\n52034 77935\n74516 100000\n20258 30439\n21895 32882\n28389 42565\n72545 100000\n27692 41515\n83876 100000\n82517 100000\n68527 100000\n97995 100000\n72190 100000\n24441 36684\n67215 100000\n63805 95702\n707 1056\n27111 40642\n94400 100000\n99287 100000\n36938 55302\n69833 100000\n87422 100000\n15606 23453\n54181 81167\n57560 86271\n19909 29915\n65881 98821\n41794 62595\n6532 9860\n48346 72406\n31633 47389\n20122 30230\n57148 85634\n36392 54495\n6998 10567\n8370 12596\n7978 12020\n42829 64134\n20402 30657\n39312 58841\n82974 100000\n36260 54291\n18446 27692\n99828 100000\n39263 58771\n68401 100000\n89316 100000\n36570 54764\n41779 62570\n79969 100000\n76411 100000\n25879 38831\n78318 100000\n91233 100000\n75608 100000\n18951 28462\n42447 63569\n25201 37804\n43854 65646\n48297 72330\n62546 93804\n20695 31091\n16260 24423\n64068 96094\n10597 15948\n53863 80685\n52800 79087\n12678 19085\n48834 73158\n63458 95159\n90185 100000\n43698 65416\n90691 100000\n38920 58256\n89999 100000\n25268 37903\n74629 100000\n29772 44607\n58701 87978\n78959 100000\n83174 100000\n60102 90108\n69226 100000\n97748 100000\n95110 100000\n8787 13217\n21880 32861\n23766 35671\n76010 100000\n96150 100000\n33307 49898\n20176 30310\n56107 84070\n78767 100000\n88150 100000\n24143 36233\n17968 26976\n95439 100000\n39083 58505\n50855 76192\n78512 100000\n32501 48673\n94636 100000\n23296 34972\n50286 75338\n61283 91881\n65163 97758\n34434 51586\n75686 100000\n12550 18894\n51106 76570\n6790 10257\n30561 45800\n9876 14861\n62266 93381\n77706 100000\n27013 40494\n5620 8472\n59571 89313\n46932 70253\n28429 42624\n21076 31657\n89603 100000\n91022 100000\n13773 20718\n44172 66119\n2184 3303\n1823 2750\n69863 100000\n91827 100000\n42302 63353\n7034 10614\n24762 37151\n55746 83519\n53526 80169\n25126 37693\n2205 3335\n95831 100000\n57765 86578\n84766 100000\n94089 100000\n46483 69593\n49220 73739\n4790 7234\n93717 100000\n63713 95557\n22301 33502\n90949 100000\n52998 79381\n14970 22522\n1821 2746\n5887 8895\n94689 100000\n44547 66684\n24370 36576\n27616 41403\n23141 34749\n83829 100000\n56527 84701\n28901 43323\n90970 100000\n29626 44398\n76202 100000\n71893 100000\n37174 55657\n61557 92300\n51059 76497\n46892 70197\n5045 7614\n39322 58857\n5825 8794\n52191 78167\n23920 35895\n60691 90997\n90563 100000\n32544 48738\n34106 51102\n44619 66798\n48225 72220\n35132 52596\n30145 45166\n96946 100000\n53774 80555\n13090 19700\n29943 44861\n97502 100000\n57973 86892\n66029 99038\n37314 55864\n6964 10518\n49611 74332\n14743 22177\n67725 100000\n82170 100000\n98687 100000\n60647 90931\n6051 9137\n87524 100000\n74882 100000\n85330 100000\n71674 100000\n43051 64461\n17142 25728\n7854 11824\n96599 100000\n14352 21599\n5558 8382\n96697 100000\n50672 75918\n90951 100000\n89027 100000\n18924 28420\n11627 17508\n14209 21388\n77199 100000\n95147 100000\n25087 37639\n3322 5023\n65538 98307\n85460 100000\n47287 70802\n68956 100000\n46838 70117\n95729 100000\n40697 60931\n729 1088\n85189 100000\n84664 100000\n96445 100000\n84379 100000\n61443 92121\n27440 41142\n75002 100000\n16236 24385\n79310 100000\n81058 100000\n64484 96718\n59037 88483\n98291 100000\n79406 100000\n65317 97988\n7647 11521\n37873 56688\n36857 55183\n24606 36926\n60533 90758\n53670 80390\n72171 100000\n82983 100000\n51756 77534\n16244 24397\n53179 79650\n77739 100000\n6829 10316\n89157 100000\n73892 100000\n16325 24516\n57872 86738\n58887 88261\n49294 73847\n69188 100000\n34459 51620\n10519 15826\n7697 11593\n19120 28723\n58366 87478\n23644 35491\n11906 17918\n26528 39787\n20257 30438\n38713 57939\n39326 58864\n4112 6205\n89954 100000\n865 1286\n38565 57726\n98613 100000\n91461 100000\n82344 100000\n79745 100000\n95380 100000\n64494 96733\n45440 68028\n46093 69005\n6844 10340\n51248 76785\n2031 3065\n19760 29677\n86229 100000\n22007 33048\n96231 100000\n47176 70632\n46664 69868\n65060 97596\n87374 100000\n67442 100000\n65273 97924\n30069 45052\n81496 100000\n74939 100000\n29478 44171\n24215 36336\n37777 56554\n23777 35689\n57937 86840\n80118 100000\n43832 65613\n30680 45984\n73024 100000\n3146 4764\n37230 55742\n15698 23587\n30787 46135\n84031 100000\n10168 15300\n9764 14684\n6463 9753\n54425 81531\n8303 12498\n40196 60180\n68142 100000\n42241 63262\n23365 35076\n57763 86575\n4137 6242\n65289 97946\n12305 18522\n70619 100000\n83748 100000\n99848 100000\n15137 22764\n77762 100000\n30351 45479\n17867 26825\n29568 44309\n42672 63900\n94612 100000\n3820 5755\n99260 100000\n37674 56394\n74680 100000\n6974 10533\n74730 100000\n65863 98795\n78025 100000\n29481 44176\n55134 82586\n51869 77696\n5455 8234\n95177 100000\n75571 100000\n53601 80287\n12444 18731\n32301 48380\n2210 3342\n23201 34834\n81889 100000\n10482 15768\n19156 28781\n21415 32162\n24865 37302\n45507 68128\n37934 56783\n20470 30760\n12654 19050\n90845 100000\n53507 80141\n52856 79171\n80593 100000\n4722 7130\n58509 87692\n72660 100000\n38124 57070\n18041 27085\n65130 97703\n11301 17030\n49936 74820\n15848 23809\n15154 22792\n21811 32758\n3532 5331\n76878 100000\n36043 53960\n36548 54732\n35610 53314\n23423 35159\n22607 33955\n38270 57292\n91792 100000\n37700 56434\n29783 44624\n59098 88577\n84139 100000\n94628 100000\n66803 100000\n2132 3222\n88247 100000\n19173 28809\n3611 5443\n93618 100000\n33854 50716\n95044 100000\n45374 67926\n21337 32038\n36278 54320\n50559 75751\n74037 100000\n78352 100000\n72587 100000\n84383 100000\n86390 100000\n3967 5976\n65710 98560\n49567 74263\n24662 37008\n91338 100000\n19127 28733\n3665 5518\n30450 45631\n11273 16989\n92120 100000\n89319 100000\n41828 62652\n91150 100000\n91450 100000\n60855 91232\n14448 21733\n59294 88881\n64373 96554\n32702 48986\n22653 34018\n72378 100000\n54911 82256\n20771 31209\n96085 100000\n68766 100000\n5228 7890\n97067 100000\n31156 46674\n22337 33549\n73460 100000\n64376 96559\n27584 41360\n9091 13660\n1294 1936\n58511 87695\n96282 100000\n25374 38060\n23568 35380\n84348 100000\n15428 23196\n47369 70930\n26658 39967\n42813 64108\n63908 95858\n62672 93993\n21960 32984\n93048 100000\n19784 29714\n3038 4608\n72212 100000\n73566 100000\n63277 94895\n94922 100000\n76951 100000\n2513 3807\n33832 50683\n66598 99897\n11667 17572\n89235 100000\n46468 69571\n76841 100000\n40909 61261\n32848 49209\n81240 100000\n81050 100000\n5884 8891\n46867 70155\n80983 100000\n29225 43793\n34178 51210\n16096 24171\n96600 100000\n14626 21998\n81728 100000\n77004 100000\n48008 71891\n48034 71929\n72086 100000\n67544 100000\n58917 88305\n19877 29863\n76742 100000\n35469 53097\n48609 72811\n4766 7198\n37076 55508\n82249 100000\n61356 91987\n74533 100000\n25493 38242\n39981 59851\n48909 73271\n24477 36738\n1152 1726\n92397 100000\n3818 5753\n21509 32302\n78334 100000\n33849 50710\n1860 2806\n10879 16378\n10479 15765\n28437 42635\n19543 29361\n27570 41337\n8975 13499\n59051 88502\n58298 87381\n46684 69900\n76497 100000\n44517 66638\n54320 81373\n88678 100000\n7840 11806\n80095 100000\n99789 100000\n77934 100000\n82846 100000\n17175 25781\n52552 78725\n91976 100000\n26531 39790\n36897 55244\n67506 100000\n81859 100000\n44288 66294\n19617 29476\n36329 54396\n17979 26991\n87078 100000\n98611 100000\n77681 100000\n59857 89743\n48240 72245\n81519 100000\n13907 20923\n28073 42092\n84978 100000\n50636 75865\n51366 76965\n90296 100000\n98171 100000\n42441 63560\n67437 100000\n8595 12935\n19123 28728\n45267 67767\n80975 100000\n88494 100000\n57359 85956\n30439 45616\n68711 100000\n55575 83262\n88974 100000\n11512 17339\n79245 100000\n74443 100000\n11403 17178\n80167 100000\n72607 100000\n25732 38607\n66509 99763\n77509 100000\n44294 66304\n20399 30652\n8068 12149\n86958 100000\n34855 52191\n6846 10343\n1166 1750\n38751 57994\n77055 100000\n5753 8676\n90953 100000\n96392 100000\n88439 100000\n93469 100000\n10359 15588\n38470 57593\n35763 53535\n97142 100000\n53732 80484\n24127 36207\n58103 87088\n28451 42656\n20126 30236\n74095 100000\n34698 51960\n92255 100000\n28903 43325\n74480 100000\n35261 52788\n57710 86499\n506 752\n28514 42749\n13577 20434\n40539 60698\n31761 47580\n15624 23482\n14118 21252\n77559 100000\n58361 87471\n67376 100000\n7020 10596\n10593 15942\n71113 100000\n68361 100000\n44475 66580\n59692 89497\n32887 49273\n26739 40091\n86453 100000\n26227 39348\n61818 92691\n27957 41908\n80743 100000\n50570 75768\n35995 53886\n43157 64622\n22865 34333\n17777 26690\n87591 100000\n98705 100000\n10025 15081\n85889 100000\n6789 10256\n35714 53464\n82509 100000\n43902 65717\n58288 87364\n65285 97941\n90168 100000\n1980 2991\n83646 100000\n71447 100000\n94794 100000\n45656 68352\n1677 2517\n88465 100000\n16319 24508\n25090 37644\n95406 100000\n79095 100000\n71059 100000\n48551 72721\n20109 30210\n20444 30722\n13885 20889\n53617 80309\n50326 75400\n35161 52639\n74959 100000\n33827 50675\n22802 34239\n45106 67532\n84542 100000\n18681 28042\n47573 71230\n49701 74463\n14111 21245\n71149 100000\n80185 100000\n11578 17437\n68156 100000\n26262 39400\n69908 100000\n43080 64507\n44418 66492\n78195 100000\n87224 100000\n15329 23051\n1941 2934\n48799 73108\n28413 42599\n55248 82760\n26073 39114\n40926 61286\n52784 79061\n44514 66634\n52412 78504\n46593 69770\n39329 58868\n61661 92454\n70536 100000\n44155 66093\n90552 100000\n85402 100000\n52083 78010\n61396 92050\n29107 43629\n29806 44661\n63905 95852\n40420 60514\n71387 100000\n6724 10155\n35339 52903\n8093 12185\n41624 62332\n14571 21918\n25836 38767\n7008 10582\n46094 69007\n11296 17024\n5594 8435\n4090 6172\n18144 27244\n12796 19261\n31049 46511\n80793 100000\n93383 100000\n86727 100000\n6130 9253\n2718 4116\n24585 36894\n5183 7826\n18870 28336\n41883 62732\n29713 44518\n9217 13862\n43616 65298\n17049 25591\n45687 68396\n81699 100000\n52748 79008\n2481 3761\n23619 35455\n51851 77673\n96913 100000\n39871 59687\n41071 61498\n79778 100000\n84169 100000\n66973 100000\n24321 36499\n20232 30398\n45732 68462\n33567 50286\n5241 7912\n76329 100000\n88429 100000\n10301 15500\n56128 84100\n12047 18128\n55911 83765\n9745 14654\n55158 82624\n47641 71330\n25747 38627\n22484 33773\n29502 44206\n64033 96037\n75381 100000\n54437 81549\n39508 59126\n22227 33391\n23403 35130\n46841 70121\n31927 47832\n93507 100000\n11034 16621\n27587 41363\n51670 77405\n53079 79506\n47301 70825\n69767 100000\n54690 81932\n78538 100000\n80862 100000\n5105 7714\n5950 8992\n9931 14939\n66 96\n57205 85721\n93189 100000\n61998 92977\n30013 44966\n84285 100000\n14924 22452\n70138 100000\n84112 100000\n28158 42227\n85688 100000\n25047 37578\n13076 19681\n24756 37142\n58581 87796\n22796 34231\n9768 14689\n89928 100000\n69375 100000\n23854 35797\n59562 89297\n93636 100000\n42344 63416\n20045 30113\n44470 66572\n77773 100000\n5450 8225\n71837 100000\n52721 78967\n97021 100000\n96364 100000\n67800 100000\n8945 13453\n86341 100000\n80809 100000\n77450 100000\n12755 19197\n94778 100000\n19684 29570\n25974 38967\n31305 46900\n93491 100000\n70608 100000\n11652 17547\n96812 100000\n61186 91734\n54156 81131\n10383 15625\n6876 10387\n8430 12682\n26618 39912\n43499 65125\n72392 100000\n37391 55972\n54847 82163\n67679 100000\n65764 98644\n14181 21349\n75856 100000\n20877 31368\n3622 5461\n80369 100000\n59166 88681\n53971 80851\n56921 85301\n9097 13669\n85572 100000\n41669 62403\n97174 100000\n89227 100000\n20567 30903\n36026 53936\n99092 100000\n17527 26317\n59839 89717\n54203 81200\n34255 51323\n11370 17130\n62617 93910\n13416 20196\n95540 100000\n42050 62972\n75926 100000\n97787 100000\n67396 100000\n93825 100000\n832 1244\n54948 82311\n3866 5825\n68466 100000\n9253 13921\n52820 79118\n63348 94998\n22434 33697\n84106 100000\n64859 97290\n66242 99358\n66104 99156\n367 554\n94100 100000\n74311 100000\n80824 100000\n4721 7128\n20324 30534\n4546 6861\n43473 65088\n26900 40329\n37382 55958\n94905 100000\n62635 93937\n78090 100000\n72136 100000\n89827 100000\n91620 100000\n92806 100000\n82065 100000\n40640 60849\n1682 2526\n29609 44372\n35360 52936\n92272 100000\n80901 100000\n52719 78965\n72007 100000\n3064 4642\n64023 96021\n66123 99183\n36367 54458\n2694 4082\n60142 90163\n5612 8460\n48863 73203\n46577 69745\n70717 100000\n26865 40276\n80092 100000\n30065 45047\n53290 79821\n1525 2283\n20349 30573\n72312 100000\n22622 33974\n82304 100000\n11313 17050\n95946 100000\n98290 100000\n80744 100000\n86150 100000\n25154 37732\n1218 1821\n57813 86648\n83696 100000\n41814 62629\n74146 100000\n91470 100000\n29124 43653\n31915 47815\n18243 27390\n23635 35479\n333 500\n83078 100000\n72274 100000\n76877 100000\n8707 13097\n34909 52275\n42195 63194\n98786 100000\n13121 19748\n23012 34554\n88490 100000\n88120 100000\n67473 100000\n41340 61905\n98681 100000\n77385 100000\n1700 2553\n20798 31247\n43554 65206\n73757 100000\n27099 40624\n45163 67615\n95811 100000\n88831 100000\n11784 17747\n91389 100000\n45933 68766\n56034 83958\n3342 5054\n83029 100000\n46616 69800\n77492 100000\n37503 56141\n52474 78604\n76752 100000\n95486 100000\n74360 100000\n60796 91148\n49433 74073\n930 1389\n89279 100000\n80265 100000\n13611 20484\n92708 100000\n54856 82175\n79289 100000\n20275 30462\n85577 100000\n90995 100000\n44946 67297\n62124 93165\n547 818\n24247 36382\n615 919\n67097 100000\n42034 62947\n2060 3111\n76674 100000\n6541 9874\n78260 100000\n4338 6547\n31815 47664\n3160 4785\n75182 100000\n24580 36886\n40535 60691\n27136 40681\n82210 100000\n29373 44017\n49922 74799\n45337 67871\n87782 100000\n23661 35515\n36267 54302\n75472 100000\n19097 28689\n28173 42250\n15640 23502\n77449 100000\n53160 79621\n18453 27700\n7835 11798\n1474 2204\n35550 53228\n56600 84817\n80691 100000\n315 473\n51120 76590\n13630 20516\n3083 4670\n83131 100000\n29097 43614\n85155 100000\n77178 100000\n87977 100000\n88353 100000\n14660 22051\n71371 100000\n10053 15124\n35565 53251\n26958 40411\n19465 29250\n64303 96454\n11949 17979\n26945 40393\n51582 77281\n36980 55365\n74843 100000\n15182 22832\n62644 93951\n34911 52277\n6042 9125\n44202 66164\n46449 69540\n63871 95803\n84743 100000\n93508 100000\n99940 100000\n51681 77425\n87857 100000\n99398 100000\n25191 37789\n45318 67843\n99830 100000\n4693 7085\n41565 62245\n47934 71773\n65392 98095\n49713 74485\n74815 100000\n76042 100000\n1795 2706\n29832 44700\n50239 75269\n13862 20854\n3303 4995\n24691 37053\n60016 89981\n27850 41751\n94870 100000\n70695 100000\n61037 91504\n64915 97377\n45977 68832\n64115 96163\n45634 68318\n53102 79539\n98216 100000\n89388 100000\n30790 46140\n29895 44793\n99791 100000\n38235 57237\n77219 100000\n39932 59780\n24540 36825\n41246 61770\n15710 23608\n92904 100000\n55425 83035\n52531 78694\n50915 76281\n77945 100000\n66066 99094\n98073 100000\n93051 100000\n58793 88120\n40208 60199\n30172 45205\n60451 90631\n48373 72450\n80455 100000\n2171 3282\n31625 47378\n58096 87079\n22639 33997\n88681 100000\n18012 27041\n50925 76297\n36019 53925\n53518 80159\n80414 100000\n51723 77483\n9130 13726\n18709 28085\n84002 100000\n61498 92209\n53723 80471\n79089 100000\n13196 19861\n97170 100000\n75105 100000\n6009 9078\n8503 12791\n91014 100000\n92924 100000\n49068 73506\n81318 100000\n72491 100000\n64618 96925\n32711 49001\n83175 100000\n10283 15475\n59882 89782\n10646 16022\n17185 25794\n85233 100000\n13814 20777\n20442 30719\n61106 91613\n37002 55395\n83948 100000\n80240 100000\n51270 76819\n34127 51132\n57534 86229\n73335 100000\n95049 100000\n91963 100000\n68475 100000\n12987 19550\n35393 52983\n83555 100000\n42915 64262\n78129 100000\n32478 48639\n23049 34611\n56327 84396\n63677 95504\n3952 5954\n76104 100000\n98086 100000\n11502 17323\n31662 47432\n2682 4062\n22846 34307\n43406 64991\n90881 100000\n72507 100000\n75438 100000\n70320 100000\n71747 100000\n67842 100000\n85004 100000\n9372 14098\n59578 89324\n74609 100000\n62641 93946\n29211 43769\n54899 82239\n30782 46127\n29291 43896\n75250 100000\n81903 100000\n33558 50273\n59769 89617\n36173 54157\n882 1311\n25045 37574\n86986 100000\n80982 100000\n10262 15443\n74411 100000\n33391 50027\n93386 100000\n75806 100000\n81754 100000\n3872 5832\n49026 73440\n46964 70305\n87067 100000\n292 435\n45583 68244\n93523 100000\n22942 34450\n81165 100000\n24854 37285\n5976 9033\n74072 100000\n64260 96386\n47488 71103\n98259 100000\n55542 83209\n11186 16855\n71543 100000\n48641 72861\n7513 11323\n34075 51053\n29771 44605\n64624 96931\n38414 57514\n54526 81686\n47083 70487\n39827 59617\n98845 100000\n87248 100000\n85593 100000\n58310 87399\n84809 100000\n61195 91748\n60448 90627\n46294 69314\n82310 100000\n65748 98620\n41321 61881\n43993 65845\n60219 90281\n86965 100000\n29862 44744\n65071 97613\n83275 100000\n9315 14009\n5350 8074\n38331 57386\n55583 83273\n83244 100000\n90942 100000\n23178 34800\n21152 31772\n41020 61423\n2880 4356\n12734 19168\n82091 100000\n35631 53343\n23416 35150\n17984 26998\n756 1129\n69222 100000\n14417 21693\n86393 100000\n8579 12909\n98837 100000\n82015 100000\n55210 82703\n52323 78375\n47276 70789\n27160 40716\n24223 36347\n75893 100000\n54710 81958\n60803 91159\n73889 100000\n55150 82611\n42574 63756\n18317 27502\n70672 100000\n73008 100000\n38545 57701\n90892 100000\n69253 100000\n47240 70735\n90973 100000\n85421 100000\n38324 57375\n27531 41278\n48221 72214\n17213 25836\n44427 66506\n49910 74785\n60546 90778\n69985 100000\n98663 100000\n96411 100000\n54334 81396\n38267 57286\n42935 64289\n18258 27412\n96768 100000\n66400 99589\n79403 100000\n16303 24486\n81959 100000\n84932 100000\n5186 7831\n65065 97605\n84461 100000\n2419 3672\n65340 98019\n59749 89585\n49790 74601\n11944 17971\n79924 100000\n41979 62867\n31879 47760\n33198 49733\n18723 28105\n97604 100000\n46309 69335\n92976 100000\n70014 100000\n32363 48472\n4671 7056\n52147 78100\n29358 43993\n46731 69968\n92851 100000\n20306 30506\n43368 64935\n82134 100000\n86391 100000\n27805 41686\n64976 97470\n65936 98908\n61096 91600\n85152 100000\n43112 64555\n60885 91272\n65960 98940\n17127 25705\n79618 100000\n4382 6612\n33862 50728\n30412 45576\n48700 72950\n23168 34785\n85616 100000\n46105 69023\n95757 100000\n9643 14499\n42175 63165\n21394 32128\n47155 70597\n34882 52237\n35489 53129\n69474 100000\n65884 98826\n63433 95120\n69597 100000\n84603 100000\n45600 68269\n24096 36159\n5930 8959\n71229 100000\n58594 87813\n79237 100000\n16506 24788\n2106 3181\n54381 81463\n89347 100000\n92832 100000\n18429 27664\n71211 100000\n76523 100000\n94011 100000\n7668 11550\n30835 46203\n46076 68976\n69251 100000\n99306 100000\n19601 29452\n60419 90584\n25816 38734\n81317 100000\n39463 59063\n59410 89068\n27106 40634\n86848 100000\n99845 100000\n31330 46939\n50149 75135\n59531 89251\n51548 77235\n17275 25928\n95623 100000\n27592 41370\n24297 36459\n62295 93428\n28821 43199\n40913 61267\n43544 65192\n83043 100000\n40731 60980\n53403 79992\n61623 92397\n32557 48759\n4716 7121\n10567 15899\n90134 100000\n4979 7520\n19704 29597\n31756 47574\n70369 100000\n30937 46355\n83061 100000\n36099 54042\n2093 3166\n39518 59142\n67714 100000\n36975 55358\n72229 100000\n75789 100000\n84149 100000\n27993 41964\n62537 93793\n56043 83971\n84671 100000\n27990 41958\n65570 98353\n73508 100000\n65901 98855\n98080 100000\n2022 3049\n61370 92010\n22811 34252\n4170 6295\n16652 24989\n58477 87644\n73451 100000\n56066 84005\n30048 45022\n1812 2733\n39694 59406\n18370 27580\n20544 30869\n63838 95754\n25605 38414\n8155 12272\n54803 82102\n95349 100000\n71935 100000\n45653 68347\n67202 100000\n66253 99375\n52281 78304\n45491 68107\n49890 74758\n3760 5663\n23399 35124\n9227 13882\n15225 22894\n34558 51758\n69003 100000\n68415 100000\n95713 100000\n32742 49046\n65566 98349\n39093 58519\n66194 99286\n28235 42339\n31409 47056\n47729 71459\n84910 100000\n40391 60469\n56162 84152\n975 1461\n32245 48300\n54122 81081\n69146 100000\n80940 100000\n93104 100000\n475 710\n37943 56796\n53465 80083\n47221 70705\n99002 100000\n59420 89084\n45973 68828\n54201 81197\n29082 43591\n49833 74668\n77694 100000\n16817 25247\n61388 92036\n7435 11202\n81344 100000\n93151 100000\n1751 2631\n53946 80811\n44901 67230\n34832 52161\n634 948\n46288 69304\n85390 100000\n36463 54605\n16511 24796\n69085 100000\n86275 100000\n59826 89697\n74431 100000\n74424 100000\n46541 69688\n40788 61068\n64113 96160\n54120 81078\n70909 100000\n84030 100000\n50333 75411\n14710 22131\n44016 65881\n79474 100000\n49301 73857\n32713 49004\n53118 79563\n84748 100000\n37144 55612\n41625 62333\n6308 9516\n945 1413\n80865 100000\n85741 100000\n93895 100000\n31723 47527\n12169 18310\n87708 100000\n93333 100000\n10683 16081\n7560 11394\n85229 100000\n89194 100000\n92103 100000\n98585 100000\n33958 50875\n84094 100000\n97888 100000\n93833 100000\n55069 82488\n16691 25052\n66039 99053\n92945 100000\n99621 100000\n98557 100000\n62286 93413\n28824 43205\n1246 1866\n18238 27383\n94218 100000\n41708 62461\n84530 100000\n30919 46325\n4398 6637\n40136 60091\n68236 100000\n14855 22348\n184 271\n41880 62728\n24640 36977\n33950 50862\n15750 23669\n4735 7151\n10860 16349\n29620 44388\n38575 57741\n12159 18295\n73769 100000\n98374 100000\n96307 100000\n40889 61227\n86184 100000\n1524 2282\n48744 73021\n98892 100000\n74828 100000\n14310 21537\n32137 48136\n20651 31027\n67580 100000\n38876 58194\n48575 72757\n24443 36688\n13689 20601\n38622 57810\n33276 49855\n38291 57321\n55352 82921\n9314 14007\n54189 81178\n34840 52173\n48892 73244\n34552 51752\n26466 39701\n61807 92675\n75452 100000\n20431 30702\n46104 69022\n21648 32516\n16394 24617\n34028 50981\n71721 100000\n60473 90667\n72431 100000\n61610 92379\n25667 38506\n2999 4544\n1773 2669\n51511 77183\n53095 79529\n14485 21787\n40741 60995\n82755 100000\n3128 4735\n71900 100000\n41355 61926\n9088 13656\n61681 92487\n52375 78447\n48007 71889\n3693 5563\n2032 3067\n82223 100000\n50523 75692\n38135 57088\n99039 100000\n2412 3659\n62028 93021\n56714 84990\n49822 74651\n10550 15875\n91090 100000\n79432 100000\n77808 100000\n81670 100000\n24193 36305\n82904 100000\n11923 17943\n60976 91410\n12746 19184\n34133 51141\n26638 39941\n8834 13289\n65448 98179\n71123 100000\n78532 100000\n2351 3561\n67825 100000\n65932 98903\n64588 96876\n28649 42952\n86478 100000\n37867 56678\n61753 92595\n92084 100000\n85041 100000\n80024 100000\n71235 100000\n11274 16990\n43976 65822\n89034 100000\n4914 7421\n33867 50735\n34290 51374\n62366 93525\n13978 21032\n46941 70267\n86401 100000\n20477 30768\n7134 10754\n78397 100000\n80411 100000\n58681 87947\n47496 71115\n54239 81254\n55296 82835\n94500 100000\n81999 100000\n423 634\n66168 99249\n9211 13853\n86785 100000\n36827 55139\n3510 5297\n88425 100000\n26478 39716\n6593 9952\n41730 62493\n60380 90527\n22054 33124\n81732 100000\n99888 100000\n64934 97406\n23573 35387\n24754 37139\n96742 100000\n43937 65763\n35497 53141\n25092 37647\n52781 79056\n20792 31239\n45490 68105\n55417 83023\n82626 100000\n6809 10287\n25909 38875\n90888 100000\n10819 16296\n57970 86887\n89998 100000\n73410 100000\n65612 98415\n1767 2659\n53263 79776\n17276 25929\n81474 100000\n49751 74542\n13810 20771\n67856 100000\n20338 30554\n94789 100000\n96607 100000\n81591 100000\n75568 100000\n94016 100000\n96822 100000\n77420 100000\n28518 42754\n91864 100000\n78395 100000\n21749 32660\n27243 40843\n87345 100000\n18822 28260\n84716 100000\n27394 41074\n60449 90629\n67456 100000\n75522 100000\n72790 100000\n32390 48507\n11253 16957\n98551 100000\n9874 14857\n97997 100000\n57918 86811\n76749 100000\n38827 58116\n13236 19924\n27686 41509\n66003 99001\n17694 26573\n90172 100000\n28361 42521\n21589 32422\n14140 21285\n99613 100000\n27962 41916\n98966 100000\n6295 9494\n48605 72804\n24254 36393\n33890 50770\n89379 100000\n23085 34663\n25582 38378\n17216 25840\n96677 100000\n74553 100000\n64711 97061\n14375 21632\n9766 14686\n36192 54189\n28097 42134\n44373 66427\n55849 83673\n2518 3816\n14427 21705\n60370 90510\n91898 100000\n20621 30979\n32993 49425\n33974 50900\n36293 54342\n43606 65279\n97791 100000\n31728 47534\n94543 100000\n97156 100000\n71526 100000\n2500 3788\n89809 100000\n53944 80808\n86611 100000\n56843 85187\n17238 25875\n8075 12160\n8377 12606\n86213 100000\n41175 61658\n21884 32868\n88611 100000\n25247 37872\n25419 38133\n63217 94805\n39923 59765\n47250 70751\n83230 100000\n83113 100000\n75092 100000\n71887 100000\n40425 60523\n2746 4159\n22810 34250\n39384 58950\n63505 95235\n20155 30277\n30340 45466\n61047 91520\n27376 41050\n84844 100000\n65670 98498\n34610 51836\n83452 100000\n99462 100000\n99273 100000\n45936 68770\n37347 55910\n82933 100000\n80648 100000\n42364 63450\n1619 2424\n54028 80937\n36703 54962\n78226 100000\n99443 100000\n47058 70455\n78926 100000\n41967 62849\n72705 100000\n48200 72182\n87386 100000\n64090 96127\n87860 100000\n77046 100000\n75750 100000\n27555 41313\n38687 57899\n84249 100000\n99592 100000\n40080 60005\n50309 75373\n82030 100000\n6171 9315\n69501 100000\n47811 71586\n90088 100000\n10481 15767\n97873 100000\n85132 100000\n74061 100000\n614 918\n38085 57014\n74771 100000\n88032 100000\n39272 58782\n28709 43036\n46581 69751\n29906 44808\n48753 73034\n77515 100000\n65247 97883\n73755 100000\n63392 95062\n24980 37471\n84261 100000\n42269 63304\n3221 4872\n32489 48654\n1081 1620\n15911 23903\n70779 100000\n83064 100000\n79128 100000\n16435 24679\n68386 100000\n59549 89279\n50161 75152\n87363 100000\n14086 21206\n2070 3127\n62507 93745\n85686 100000\n55055 82465\n4296 6485\n81561 100000\n57231 85758\n59124 88617\n1502 2246\n38112 57053\n56103 84063\n80755 100000\n26492 39734\n72422 100000\n64180 96264\n65825 98735\n71595 100000\n89186 100000\n65885 98828\n5582 8418\n26995 40462\n19851 29822\n48944 73318\n98519 100000\n30122 45129\n93188 100000\n37289 55830\n65249 97886\n15493 23289\n35045 52473\n76997 100000\n15543 23363\n16346 24546\n27226 40816\n58188 87213\n70559 100000\n4415 6661\n88503 100000\n72774 100000\n46768 70021\n69076 100000\n63489 95209\n33647 50417\n68900 100000\n70880 100000\n66404 99596\n67547 100000\n39347 58895\n40511 60653\n39985 59858\n7454 11232\n41733 62498\n44872 67187\n70940 100000\n74888 100000\n59459 89135\n18780 28192\n21763 32683\n60178 90220\n46393 69456\n49868 74722\n58379 87498\n36056 53979\n90177 100000\n67328 100000\n70509 100000\n37938 56790\n38961 58318\n59956 89894\n79495 100000\n47886 71706\n33470 50145\n95067 100000\n38847 58149\n62208 93289\n32010 47954\n59538 89261\n88817 100000\n58800 88131\n54103 81058\n57036 85473\n89225 100000\n89560 100000\n52824 79125\n31910 47807\n74412 100000\n18893 28373\n24460 36713\n90984 100000\n21681 32563\n81708 100000\n35577 53270\n22597 33938\n41992 62883\n55374 82952\n58303 87389\n66561 99839\n73103 100000\n80772 100000\n85806 100000\n24727 37105\n58773 88093\n28059 42070\n65995 98992\n94861 100000\n69516 100000\n24253 36392\n47678 71387\n82209 100000\n31811 47656\n77079 100000\n5866 8860\n90365 100000\n24709 37079\n64136 96193\n28602 42883\n78347 100000\n4370 6594\n7292 10985\n42766 64040\n15160 22802\n95343 100000\n47213 70693\n43874 65675\n27164 40721\n59796 89652\n38219 57213\n48872 73216\n58530 87721\n43438 65036\n22353 33576\n34753 52045\n16267 24434\n12747 19186\n74770 100000\n34460 51622\n31440 47097\n70015 100000\n25420 38134\n10467 15749\n19103 28698\n34675 51927\n6984 10547\n56238 84265\n15271 22963\n21718 32615\n24722 37097\n54347 81416\n30728 46052\n10174 15309\n80037 100000\n67165 100000\n63678 95506\n43972 65816\n31218 46775\n79552 100000\n66313 99467\n27817 41705\n39161 58622\n80605 100000\n138 199\n93908 100000\n26131 39201\n54887 82220\n53261 79773\n38050 56961\n36943 55309\n32124 48117\n39020 58414\n63801 95696\n53951 80820\n93569 100000\n10676 16070\n62079 93094\n85835 100000\n94344 100000\n36155 54130\n84213 100000\n25602 38410\n81784 100000\n92033 100000\n45645 68334\n9713 14606\n31705 47501\n5308 8011\n71325 100000\n86808 100000\n17749 26652\n48491 72628\n95481 100000\n43931 65755\n89128 100000\n51467 77115\n14759 22203\n35846 53658\n6054 9141\n29523 44236\n60973 91406\n22752 34167\n1761 2647\n71654 100000\n35446 53066\n50150 75137\n47656 71352\n23853 35795\n1596 2391\n23945 35933\n53181 79653\n48281 72306\n56423 84546\n67389 100000\n29417 44082\n87519 100000\n86461 100000\n59713 89529\n67661 100000\n50510 75673\n31418 47067\n46748 69991\n62992 94472\n10434 15701\n66691 100000\n10595 15945\n50473 75614\n17254 25898\n85224 100000\n20211 30367\n42332 63397\n98617 100000\n3551 5359\n39127 58573\n30655 45945\n56785 85096\n56529 84705\n32955 49372\n9058 13612\n85281 100000\n90926 100000\n21827 32782\n27413 41103\n13597 20461\n32996 49431\n97245 100000\n84898 100000\n3721 5603\n42356 63435\n18025 27059\n90992 100000\n9140 13743\n91377 100000\n42220 63230\n1291 1932\n72075 100000\n42355 63433\n1739 2611\n71168 100000\n34763 52061\n87833 100000\n82175 100000\n9427 14174\n52169 78133\n54837 82148\n35549 53226\n63638 95440\n53738 80494\n68211 100000\n70590 100000\n22700 34088\n38607 57789\n13565 20415\n5138 7757\n73529 100000\n60452 90633\n7545 11372\n53885 80718\n98283 100000\n82311 100000\n33267 49841\n38421 57523\n66929 100000\n12589 18953\n70954 100000\n29538 44258\n37751 56512\n73695 100000\n51592 77296\n62024 93016\n9265 13936\n36580 54780\n80222 100000\n33206 49746\n22074 33155\n97854 100000\n12383 18641\n52555 78730\n5178 7819\n43623 65309\n17915 26894\n74249 100000\n71043 100000\n31957 47874\n49944 74833\n75135 100000\n27349 41005\n98215 100000\n39948 59803\n99058 100000\n45686 68395\n97725 100000\n50491 75642\n76705 100000\n25413 38123\n93532 100000\n31872 47749\n19093 28682\n76096 100000\n37245 55766\n62568 93836\n91456 100000\n99409 100000\n76247 100000\n95019 100000\n79500 100000\n44204 66167\n65518 98278\n44311 66330\n635 949\n35482 53118\n93630 100000\n91393 100000\n48148 72100\n76857 100000\n48375 72454\n95085 100000\n26292 39446\n65275 97927\n18147 27247\n64645 96961\n15469 23254\n77142 100000\n12105 18213\n50336 75417\n28608 42894\n91679 100000\n59565 89303\n53399 79986\n89612 100000\n35821 53620\n82977 100000\n58081 87057\n17309 25981\n61523 92248\n86586 100000\n82351 100000\n19226 28890\n61181 91727\n31083 46562\n55833 83648\n60027 90000\n88309 100000\n48896 73251\n65485 98228\n30102 45098\n12641 19033\n51008 76421\n31039 46498\n10938 16472\n68474 100000\n45739 68474\n23405 35133\n9146 13752\n61635 92415\n74987 100000\n8209 12354\n45194 67661\n78005 100000\n30292 45395\n97541 100000\n919 1372\n90421 100000\n3758 5659\n87967 100000\n94508 100000\n53449 80059\n80767 100000\n20560 30893\n24078 36130\n37483 56112\n96228 100000\n31185 46723\n73823 100000\n96014 100000\n31290 46880\n64287 96428\n68387 100000\n9060 13615\n74128 100000\n14035 21121\n14201 21377\n25464 38203\n32278 48348\n3095 4688\n84363 100000\n58061 87027\n28819 43197\n42110 63061\n26620 39916\n73310 100000\n75785 100000\n38764 58015\n98895 100000\n8073 12157\n40633 60840\n43644 65341\n26720 40063\n21535 32343\n66881 100000\n14523 21847\n35660 53388\n82280 100000\n45623 68303\n51048 76482\n35819 53616\n3117 4719\n83192 100000\n79951 100000\n13716 20640\n14075 21189\n2153 3256\n79972 100000\n47791 71554\n14929 22461\n91516 100000\n39978 59847\n90914 100000\n37928 56774\n2858 4324\n48653 72877\n57824 86662\n39319 58853\n39045 58451\n23370 35082\n93969 100000\n53843 80657\n4421 6672\n21449 32213\n47493 71111\n86241 100000\n10199 15343\n44 62\n24849 37276\n32485 48649\n47293 70811\n293 437\n44464 66560\n48091 72016\n30730 46054\n90777 100000\n41653 62376\n54043 80963\n57325 85909\n95883 100000\n26153 39234\n5508 8313\n62173 93238\n79172 100000\n59241 88795\n19181 28819\n81697 100000\n70144 100000\n89011 100000\n85755 100000\n81220 100000\n61925 92857\n6821 10305\n24140 36227\n61671 92471\n80566 100000\n5888 8897\n73411 100000\n47988 71862\n65625 98437\n32629 48873\n68921 100000\n42056 62982\n90769 100000\n87783 100000\n82415 100000\n47021 70396\n41147 61616\n12272 18473\n73781 100000\n34045 51006\n38738 57974\n93244 100000\n85884 100000\n40503 60641\n37367 55939\n77244 100000\n18968 28489\n54480 81615\n66121 99180\n26383 39579\n74557 100000\n11161 16818\n30385 45533\n7110 10718\n57119 85593\n92353 100000\n91125 100000\n60696 91004\n96596 100000\n30456 45642\n93938 100000\n7999 12051\n89834 100000\n60155 90183\n69416 100000\n18395 27614\n45556 68200\n27761 41618\n42992 64377\n78359 100000\n80330 100000\n18125 27215\n28150 42213\n61996 92973\n57267 85817\n38444 57556\n94072 100000\n65213 97834\n14407 21678\n85032 100000\n46349 69390\n60412 90572\n56481 84628\n99344 100000\n86535 100000\n65745 98615\n24641 36978\n10607 15962\n34906 52270\n18287 27456\n73660 100000\n99248 100000\n58537 87730\n49304 73862\n99607 100000\n62922 94370\n38012 56902\n55168 82638\n71345 100000\n87800 100000\n50168 75162\n41385 61971\n79818 100000\n24784 37180\n44731 66976\n44123 66044\n97110 100000\n88456 100000\n12666 19066\n64010 96002\n17776 26688\n21057 31628\n75349 100000\n99457 100000\n67991 100000\n40189 60171\n8064 12144\n73442 100000\n68816 100000\n53962 80838\n40207 60197\n85426 100000\n63973 95947\n61748 92587\n97474 100000\n67096 100000\n95071 100000\n7369 11101\n69184 100000\n25973 38965\n22182 33319\n33860 50724\n29463 44150\n76233 100000\n64864 97296\n41230 61744\n37473 56098\n5942 8978\n28305 42440\n45955 68799\n82153 100000\n30624 45897\n92745 100000\n73848 100000\n29343 43970\n83169 100000\n38367 57442\n91622 100000\n4989 7534\n61739 92572\n81558 100000\n62503 93740\n72877 100000\n59391 89035\n92413 100000\n40288 60312\n23570 35382\n54187 81175\n71335 100000\n71273 100000\n23425 35162\n24081 36134\n20161 30286\n46704 69932\n28106 42147\n16558 24864\n42779 64060\n65316 97987\n95699 100000\n43079 64506\n53006 79393\n89298 100000\n75479 100000\n84731 100000\n10463 15743\n80536 100000\n63667 95487\n36008 53908\n3391 5125\n98828 100000\n89171 100000\n42978 64359\n38059 56974\n98941 100000\n77116 100000\n75488 100000\n78157 100000\n86547 100000\n36713 54977\n31722 47525\n79394 100000\n29956 44877\n54715 81965\n77630 100000\n12201 18361\n87539 100000\n84497 100000\n98621 100000\n91216 100000\n66458 99680\n70866 100000\n28674 42989\n79126 100000\n71575 100000\n84260 100000\n62632 93933\n95475 100000\n97462 100000\n86185 100000\n81189 100000\n52050 77959\n49041 73464\n37841 56642\n93943 100000\n14453 21741\n7189 10838\n81795 100000\n31316 46917\n9375 14101\n4819 7279\n10399 15649\n64502 96746\n15914 23906\n62885 94316\n85596 100000\n13518 20340\n58272 87339\n44353 66393\n60210 90268\n11429 17218\n11369 17129\n77369 100000\n7122 10736\n50453 75580\n20636 31001\n95487 100000\n74789 100000\n40112 60057\n95964 100000\n99010 100000\n67277 100000\n45873 68681\n15334 23058\n80783 100000\n69687 100000\n21318 32009\n48051 71956\n12537 18877\n62989 94469\n73926 100000\n60003 89961\n61389 92038\n83030 100000\n34191 51229\n47125 70552\n18819 28256\n78029 100000\n6744 10187\n24137 36222\n43291 64825\n17141 25727\n65160 97752\n39499 59113\n45155 67603\n17990 27007\n31822 47675\n18033 27072\n88077 100000\n64901 97355\n50443 75565\n95144 100000\n81181 100000\n9499 14283\n16924 25408\n29315 43931\n69341 100000\n33244 49804\n56211 84225\n12012 18073\n7855 11826\n28279 42404\n88576 100000\n62733 94092\n44702 66931\n30076 45062\n39097 58526\n91974 100000\n13158 19806\n26270 39413\n47479 71088\n65744 98613\n5577 8410\n34307 51402\n59842 89721\n71718 100000\n81276 100000\n5287 7980\n2357 3572\n68569 100000\n16616 24941\n98869 100000\n16000 24030\n958 1436\n168 246\n4249 6417\n40474 60599\n11198 16875\n77803 100000\n54483 81620\n86319 100000\n3814 5746\n4477 6752\n26430 39647\n89042 100000\n62428 93626\n55920 83781\n53545 80201\n83199 100000\n91830 100000\n98429 100000\n47420 71003\n95639 100000\n68499 100000\n39562 59206\n72070 100000\n73588 100000\n96862 100000\n33479 50158\n1384 2068\n77676 100000\n58426 87569\n81994 100000\n2635 3993\n40937 61302\n95026 100000\n20057 30131\n20217 30376\n98467 100000\n77252 100000\n42145 63114\n69864 100000\n14720 22144\n78562 100000\n46138 69068\n64101 96141\n61926 92859\n78903 100000\n39421 59006\n20067 30146\n86575 100000\n86577 100000\n64877 97318\n49959 74858\n29009 43479\n38854 58160\n66920 100000\n87367 100000\n17443 26189\n34778 52085\n30738 46065\n82603 100000\n77982 100000\n89515 100000\n81431 100000\n20755 31187\n14196 21370\n19788 29720\n34423 51572\n71261 100000\n46061 68952\n4669 7053\n79993 100000\n54216 81219\n87647 100000\n48543 72707\n1521 2278\n2900 4387\n10780 16231\n78008 100000\n49143 73624\n64932 97404\n59550 89280\n57007 85435\n80289 100000\n95947 100000\n47751 71494\n12857 19352\n40258 60270\n85825 100000\n13002 19572\n90043 100000\n51874 77702\n12771 19225\n14058 21157\n69117 100000\n80438 100000\n38070 56990\n36366 54456\n56217 84235\n60554 90788\n15789 23724\n4765 7196\n53705 80442\n64408 96608\n12330 18556\n47946 71793\n89829 100000\n32919 49321\n68308 100000\n7351 11074\n4803 7253\n5918 8943\n76888 100000\n1250 1872\n21910 32903\n92709 100000\n75553 100000\n62032 93027\n13382 20145\n25326 37989\n72130 100000\n39963 59825\n1055 1583\n84113 100000\n87614 100000\n43084 64513\n36418 54537\n74523 100000\n34297 51385\n56700 84970\n81794 100000\n51237 76770\n82336 100000\n73832 100000\n49637 74370\n68858 100000\n18611 27937\n52687 78915\n48337 72392\n59179 88699\n69328 100000\n98542 100000\n75364 100000\n96586 100000\n33538 50246\n86349 100000\n42292 63337\n62287 93414\n46043 68927\n29080 43587\n47800 71568\n55048 82454\n93290 100000\n95542 100000\n29960 44882\n86771 100000\n21062 31637\n53749 80512\n58138 87142\n93909 100000\n43470 65083\n84460 100000\n97689 100000\n57166 85666\n69711 100000\n99632 100000\n27881 41795\n69336 100000\n89502 100000\n49150 73633\n41039 61451\n66736 100000\n30814 46175\n64968 97459\n92522 100000\n8565 12887\n16009 24043\n89722 100000\n25533 38299\n10756 16194\n23646 35495\n62657 93971\n27423 41117\n76229 100000\n97978 100000\n99900 100000\n13931 20956\n93076 100000\n95571 100000\n25638 38460\n41554 62229\n17641 26490\n41561 62239\n831 1242\n16452 24704\n32283 48355\n36924 55283\n93687 100000\n88935 100000\n56661 84913\n52749 79009\n57312 85889\n90271 100000\n44364 66412\n10299 15496\n4106 6197\n85699 100000\n61289 91890\n32951 49367\n92963 100000\n82283 100000\n75639 100000\n99134 100000\n54636 81847\n85268 100000\n59228 88777\n98738 100000\n45729 68458\n14951 22499\n94096 100000\n47306 70834\n79503 100000\n31896 47785\n85279 100000\n5989 9050\n67866 100000\n45075 67484\n43288 64820\n13817 20781\n3678 5538\n25523 38286\n67837 100000\n7882 11869\n5150 7778\n21728 32630\n1948 2943\n1118 1677\n5218 7879\n38106 57044\n67334 100000\n53851 80667\n56846 85191\n88250 100000\n97870 100000\n82004 100000\n41868 62712\n28289 42417\n29458 44142\n70802 100000\n72315 100000\n13714 20638\n44473 66576\n3673 5532\n10733 16157\n88220 100000\n85482 100000\n32962 49381\n5781 8723\n46433 69516\n21165 31789\n66465 99692\n311 467\n25679 38525\n60480 90677\n61702 92516\n2364 3583\n96936 100000\n50475 75617\n55310 82855\n18590 27903\n29374 44018\n54087 81033\n92001 100000\n26897 40325\n27060 40567\n88795 100000\n58481 87650\n28353 42509\n4756 7184\n14297 21514\n52420 78517\n48267 72285\n14522 21845\n32635 48881\n4945 7469\n21463 32236\n42777 64057\n31467 47138\n7303 11002\n14309 21535\n4163 6283\n12706 19126\n9036 13582\n14689 22097\n33003 49440\n79316 100000\n48100 72028\n94284 100000\n83530 100000\n61569 92320\n65112 97676\n80906 100000\n21555 32374\n61079 91571\n90231 100000\n91358 100000\n64189 96280\n18805 28232\n46606 69786\n7372 11106\n25869 38816\n94005 100000\n95060 100000\n50596 75805\n48686 72929\n42258 63286\n21873 32853\n45707 68424\n7535 11358\n89395 100000\n23973 35975\n59542 89268\n78799 100000\n26530 39789\n99918 100000\n9223 13874\n10119 15228\n36138 54104\n9916 14919\n87691 100000\n37723 56467\n32822 49172\n36279 54322\n56408 84521\n88334 100000\n50978 76376\n14197 21372\n90212 100000\n56083 84032\n20074 30157\n49185 73689\n63694 95529\n25676 38520\n31887 47769\n44150 66085\n59182 88703\n31902 47794\n770 1151\n17257 25902\n64512 96761\n54469 81598\n13398 20170\n26722 40065\n49513 74191\n83376 100000\n6154 9290\n29587 44340\n29264 43852\n34087 51073\n71793 100000\n70583 100000\n495 737\n53994 80887\n84146 100000\n10975 16524\n29811 44669\n38320 57369\n3956 5960\n63753 95620\n70889 100000\n52651 78865\n63586 95361\n78683 100000\n52580 78764\n80003 100000\n82491 100000\n55885 83730\n55061 82474\n66635 99953\n52379 78454\n3579 5397\n15308 23013\n39793 59560\n52943 79304\n81565 100000\n41240 61762\n81693 100000\n8114 12213\n15411 23174\n95398 100000\n49694 74454\n78998 100000\n30011 44964\n98009 100000\n87825 100000\n2645 4010\n90329 100000\n21470 32245\n73108 100000\n87012 100000\n29296 43905\n5944 8981\n89023 100000\n29239 43812\n64040 96048\n72393 100000\n59419 89082\n27024 40512\n38277 57300\n3223 4875\n47653 71348\n71334 100000\n17567 26373\n27202 40780\n34156 51177\n6680 10084\n60714 91031\n50755 76045\n76280 100000\n28459 42668\n97459 100000\n64233 96347\n45164 67616\n90819 100000\n30947 46368\n7602 11452\n16834 25270\n95188 100000\n97387 100000\n75035 100000\n57484 86147\n68338 100000\n61229 91799\n15841 23799\n78625 100000\n93952 100000\n35110 52567\n78189 100000\n88670 100000\n72214 100000\n66529 99793\n60577 90822\n8822 13272\n50880 76225\n81201 100000\n23976 35980\n41132 61592\n19579 29415\n7604 11455\n94250 100000\n82051 100000\n71876 100000\n98838 100000\n91354 100000\n22422 33680\n6843 10338\n50162 75154\n51025 76447\n17027 25561\n49393 74009\n270 404\n1053 1579\n58476 87643\n63216 94804\n90464 100000\n10985 16541\n80731 100000\n55771 83555\n40537 60695\n75497 100000\n54171 81153\n99504 100000\n3656 5507\n10009 15057\n35831 53636\n73992 100000\n8845 13306\n20182 30321\n2086 3155\n70531 100000\n72893 100000\n6115 9229\n91887 100000\n74900 100000\n12881 19389\n10252 15429\n89434 100000\n26717 40060\n77862 100000\n52867 79188\n50804 76118\n3489 5268\n31038 46497\n98141 100000\n2788 4215\n90304 100000\n85216 100000\n44690 66911\n10689 16091\n29639 44412\n70495 100000\n75952 100000\n38818 58101\n89250 100000\n1583 2372\n31284 46870\n2114 3192\n57274 85827\n11543 17386\n14536 21865\n21458 32227\n63050 94556\n47915 71747\n81153 100000\n98527 100000\n11155 16808\n54845 82159\n85103 100000\n10941 16476\n83606 100000\n73100 100000\n3833 5776\n95231 100000\n21215 31863\n89874 100000\n62350 93501\n78257 100000\n49858 74706\n8416 12664\n4251 6419\n63883 95823\n15463 23246\n70370 100000\n35452 53074\n27282 40900\n94412 100000\n26879 40297\n13723 20649\n68472 100000\n8946 13454\n81256 100000\n29217 43781\n55267 82788\n80209 100000\n87203 100000\n60037 90017\n85186 100000\n59097 88576\n34823 52149\n28090 42121\n72761 100000\n19736 29646\n55465 83095\n9810 14755\n71697 100000\n93150 100000\n6895 10416\n92748 100000\n15670 23547\n25997 38995\n68935 100000\n9647 14505\n9853 14823\n86484 100000\n19339 29062\n49053 73482\n25934 38910\n11617 17493\n61227 91796\n78155 100000\n24902 37359\n87164 100000\n64556 96828\n35573 53264\n7642 11514\n65767 98649\n12838 19324\n26164 39253\n13709 20629\n32565 48772\n72676 100000\n69629 100000\n3457 5220\n14531 21859\n41223 61734\n71615 100000\n76600 100000\n38423 57526\n23284 34955\n75262 100000\n53816 80617\n18060 27115\n86247 100000\n63004 94489\n86905 100000\n97856 100000\n98058 100000\n85175 100000\n44802 67082\n58406 87541\n45211 67686\n86318 100000\n46765 70016\n76393 100000\n26571 39850\n90636 100000\n84442 100000\n71763 100000\n60995 91439\n750 1121\n97864 100000\n70715 100000\n11154 16807\n96097 100000\n82370 100000\n25964 38953\n41005 61401\n89643 100000\n12972 19528\n81922 100000\n14601 21960\n19011 28554\n7358 11085\n72630 100000\n43754 65503\n27973 41933\n45510 68134\n68438 100000\n35144 52614\n10507 15808\n73458 100000\n56670 84926\n45615 68290\n1973 2980\n97458 100000\n43118 64562\n51532 77213\n52010 77898\n58833 88180\n3012 4563\n37876 56693\n81463 100000\n36498 54661\n28561 42821\n79996 100000\n43121 64565\n49283 73831\n62501 93737\n33853 50714\n72765 100000\n26189 39293\n56729 85013\n73634 100000\n75004 100000\n37634 56334\n95167 100000\n53913 80759\n5379 8119\n83213 100000\n29795 44641\n85029 100000\n58320 87413\n75081 100000\n84695 100000\n33548 50260\n91439 100000\n94224 100000\n95984 100000\n2053 3099\n1221 1826\n30890 46284\n68503 100000\n98953 100000\n27145 40693\n96949 100000\n26975 40436\n60996 91440\n98550 100000\n89637 100000\n98470 100000\n64698 97041\n99451 100000\n80402 100000\n39684 59390\n60277 90368\n81006 100000\n6828 10314\n48720 72982\n23623 35462\n15534 23350\n43317 64860\n96519 100000\n30323 45440\n87641 100000\n1988 3002\n94048 100000\n40304 60336\n30468 45659\n85600 100000\n78436 100000\n85294 100000\n74063 100000\n47329 70869\n61101 91606\n76938 100000\n54295 81339\n69451 100000\n84021 100000\n7649 11524\n96208 100000\n17625 26463\n68887 100000\n53132 79584\n53140 79596\n23965 35962\n20250 30426\n42638 63847\n76413 100000\n30612 45878\n10565 15897\n57317 85896\n22923 34421\n42731 63989\n71647 100000\n84568 100000\n15577 23414\n8048 12122\n18589 27901\n28339 42490\n20872 31360\n76312 100000\n35750 53514\n27250 40852\n35351 52923\n67811 100000\n29987 44924\n53050 79462\n81950 100000\n15157 22797\n25910 38876\n58083 87060\n4845 7316\n79644 100000\n26778 40146\n48656 72882\n94697 100000\n86918 100000\n19365 29103\n20261 30443\n50846 76178\n32847 49207\n47342 70886\n65015 97525\n4033 6082\n68330 100000\n65652 98471\n79216 100000\n38801 58074\n26326 39493\n1801 2716\n84039 100000\n1780 2681\n45422 67999\n11745 17690\n37077 55510\n61352 91981\n83983 100000\n11354 17107\n62272 93390\n57451 86094\n97808 100000\n75214 100000\n41027 61432\n99065 100000\n98035 100000\n94266 100000\n67379 100000\n10484 15771\n22123 33229\n60770 91115\n83125 100000\n36356 54440\n73185 100000\n65472 98210\n21889 32874\n20301 30496\n2459 3728\n96720 100000\n30070 45053\n97185 100000\n90568 100000\n44773 67039\n32019 47967\n45641 68328\n75852 100000\n96512 100000\n78774 100000\n30353 45482\n71644 100000\n8391 12627\n32898 49291\n52524 78682\n5672 8552\n5109 7719\n58368 87480\n56125 84095\n58565 87771\n58785 88111\n43104 64544\n71436 100000\n77477 100000\n29550 44279\n33304 49893\n57717 86510\n55058 82469\n78690 100000\n68675 100000\n96989 100000\n42501 63652\n73613 100000\n51100 76560\n44209 66177\n63033 94531\n4663 7044\n48160 72117\n70444 100000\n83219 100000\n87219 100000\n2242 3392\n23026 34576\n77686 100000\n7342 11059\n76733 100000\n82705 100000\n70649 100000\n13733 20661\n42760 64033\n617 921\n24067 36112\n99818 100000\n66226 99336\n9497 14281\n89773 100000\n35467 53094\n6125 9247\n23624 35464\n36060 53985\n39829 59620\n57397 86012\n39171 58639\n87581 100000\n82008 100000\n38593 57768\n97674 100000\n23954 35946\n13099 19714\n76804 100000\n84790 100000\n11 15\n58189 87215\n32597 48822\n7108 10715\n72808 100000\n6734 10171\n99413 100000\n42231 63246\n39082 58504\n1483 2218\n85564 100000\n26390 39588\n4833 7298\n38293 57323\n53938 80799\n58754 88064\n2128 3216\n13719 20644\n50615 75832\n97551 100000\n25929 38902\n42573 63755\n64426 96635\n73943 100000\n69084 100000\n1237 1854\n71677 100000\n43128 64578\n48461 72585\n47899 71726\n86800 100000\n63723 95573\n28618 42909\n7956 11983\n55819 83627\n72882 100000\n27778 41643\n68824 100000\n70620 100000\n81169 100000\n16980 25488\n48301 72338\n80801 100000\n28349 42502\n69485 100000\n20956 31482\n99387 100000\n72309 100000\n53370 79941\n20782 31223\n17314 25990\n70861 100000\n87721 100000\n59476 89165\n35761 53532\n68563 100000\n59784 89636\n54131 81091\n30021 44979\n20436 30710\n48702 72954\n22438 33703\n86301 100000\n7510 11317\n84478 100000\n16058 24114\n52754 79016\n34849 52184\n68774 100000\n58718 88004\n87603 100000\n46256 69255\n80482 100000\n13167 19819\n8427 12678\n28317 42457\n48218 72210\n75053 100000\n45777 68529\n58564 87769\n20892 31390\n91845 100000\n31056 46522\n31949 47864\n23524 35317\n73028 100000\n40185 60165\n89288 100000\n12021 18087\n84435 100000\n49090 73542\n49062 73496\n19970 30004\n58954 88357\n45186 67649\n4172 6298\n1188 1780\n59681 89477\n88023 100000\n37965 56833\n38494 57632\n95917 100000\n11032 16618\n5035 7598\n76734 100000\n89260 100000\n60754 91094\n14034 21120\n14867 22367\n86417 100000\n10705 16114\n75944 100000\n56480 84627\n79557 100000\n30062 45044\n13755 20692\n91347 100000\n79512 100000\n15295 22996\n74265 100000\n27618 41406\n17741 26639\n66932 100000\n76468 100000\n49087 73536\n44804 67084\n397 600\n35717 53468\n89482 100000\n29912 44816\n74918 100000\n44419 66494\n30941 46359\n1518 2273\n55763 83543\n29848 44723\n38601 57779\n72803 100000\n15230 22901\n54643 81857\n20397 30650\n19121 28725\n58258 87319\n15776 23706\n66720 100000\n70215 100000\n949 1421\n19856 29829\n24852 37282\n96845 100000\n7824 11782\n38268 57288\n432 646\n59890 89795\n89391 100000\n5014 7567\n99189 100000\n35153 52626\n32992 49423\n66442 99652\n33666 50447\n74708 100000\n8880 13358\n92765 100000\n69529 100000\n71775 100000\n32428 48563\n44077 65971\n47843 71638\n56210 84223\n71867 100000\n35657 53385\n69656 100000\n90347 100000\n84779 100000\n39845 59647\n79361 100000\n549 822\n64581 96866\n52792 79076\n38338 57397\n72892 100000\n34998 52404\n37662 56377\n1508 2255\n43300 64838\n28110 42152\n2122 3205\n70547 100000\n79205 100000\n75328 100000\n53521 80163\n91806 100000\n16082 24152\n71686 100000\n79065 100000\n6189 9342\n64585 96872\n63417 95099\n96853 100000\n32577 48791\n64905 97362\n19283 28975\n265 396\n5852 8835\n60355 90485\n73652 100000\n72710 100000\n90765 100000\n76753 100000\n41870 62714\n92163 100000\n55838 83655\n55706 83456\n26567 39844\n95896 100000\n77364 100000\n65734 98597\n74071 100000\n69439 100000\n28547 42802\n50225 75248\n43161 64626\n27209 40792\n54935 82293\n9779 14707\n76833 100000\n40056 59973\n73130 100000\n35004 52411\n91777 100000\n97139 100000\n73803 100000\n59048 88499\n27449 41156\n92622 100000\n73827 100000\n84194 100000\n46804 70072\n96655 100000\n15902 23891\n13823 20789\n16901 25373\n31690 47479\n13857 20847\n27073 40586\n5078 7670\n14002 21069\n29993 44935\n43030 64430\n16780 25188\n90215 100000\n15063 22659\n36998 55390\n26433 39652\n91869 100000\n40026 59923\n19101 28694\n69914 100000\n87329 100000\n98097 100000\n73153 100000\n26300 39456\n36687 54940\n29320 43938\n78368 100000\n28176 42254\n19738 29648\n50525 75696\n2934 4441\n39622 59295\n41512 62163\n77311 100000\n55681 83420\n64940 97415\n56568 84766\n95584 100000\n50139 75120\n17846 26794\n60590 90840\n59632 89404\n91565 100000\n45413 67984\n47794 71557\n6387 9637\n71349 100000\n16283 24458\n93798 100000\n27751 41601\n54925 82279\n26793 40171\n11315 17054\n1639 2456\n94547 100000\n74963 100000\n82750 100000\n4087 6169\n91028 100000\n85303 100000\n28627 42920\n11702 17621\n18513 27790\n57474 86129\n38682 57891\n14175 21342\n49842 74682\n2196 3319\n24437 36677\n62857 94276\n73224 100000\n80921 100000\n74742 100000\n40843 61152\n96926 100000\n59318 88920\n68269 100000\n83909 100000\n68326 100000\n14843 22330\n85752 100000\n9951 14968\n96239 100000\n67595 100000\n75753 100000\n30712 46026\n94881 100000\n33447 50108\n52164 78124\n94170 100000\n92567 100000\n97713 100000\n39300 58823\n53536 80186\n60308 90416\n68966 100000\n42931 64284\n32716 49008\n61023 91485\n196 291\n14808 22276\n71812 100000\n7422 11180\n30580 45829\n13866 20859\n39674 59372\n37572 56244\n61686 92494\n39460 59060\n21665 32539\n66689 100000\n38602 57781\n57184 85690\n49658 74401\n57172 85674\n42886 64215\n59271 88844\n60520 90741\n67223 100000\n4127 6227\n35221 52725\n70386 100000\n34129 51135\n1892 2858\n79538 100000\n99816 100000\n74353 100000\n22701 34090\n16564 24872\n78012 100000\n75137 100000\n95796 100000\n69413 100000\n25098 37653\n78101 100000\n5226 7887\n65814 98718\n39735 59466\n84918 100000\n41188 61679\n32308 48391\n30406 45565\n87968 100000\n65913 98873\n6676 10077\n16305 24489\n92218 100000\n96825 100000\n8467 12736\n31585 47313\n25173 37760\n22778 34207\n1205 1804\n77493 100000\n76220 100000\n18758 28156\n37742 56497\n47136 70567\n69357 100000\n87432 100000\n19471 29258\n44316 66338\n35254 52776\n81100 100000\n17350 26046\n82092 100000\n17290 25953\n16459 24713\n45642 68329\n99205 100000\n66293 99435\n70931 100000\n70072 100000\n97969 100000\n10092 15186\n33662 50441\n61174 91715\n68458 100000\n86242 100000\n14338 21577\n25149 37725\n83669 100000\n86765 100000\n72505 100000\n31065 46535\n40893 61234\n85591 100000\n36693 54949\n97773 100000\n20856 31336\n48437 72549\n75563 100000\n99817 100000\n86043 100000\n67348 100000\n55680 83418\n30546 45774\n55001 82384\n88073 100000\n81563 100000\n47560 71210\n41535 62199\n49886 74751\n46565 69729\n2440 3704\n94497 100000\n7942 11962\n13109 19728\n62014 93003\n57405 86024\n96301 100000\n51197 76710\n12680 19088\n25102 37658\n51083 76533\n16863 25317\n44571 66722\n24886 37334\n38904 58231\n65252 97891\n11529 17365\n22029 33080\n18512 27789\n25279 37920\n3624 5464\n25364 38047\n57593 86324\n37930 56777\n45386 67944\n71804 100000\n7289 10980\n52831 79138\n20106 30205\n56350 84432\n32496 48665\n23409 35139\n14363 21615\n69087 100000\n15392 23146\n72231 100000\n58119 87111\n55867 83701\n92162 100000\n37239 55757\n74456 100000\n10266 15451\n49451 74099\n90707 100000\n54161 81140\n37274 55807\n7895 11889\n79865 100000\n6037 9118\n13128 19759\n70424 100000\n4552 6869\n8357 12579\n11343 17093\n34575 51783\n49762 74557\n9367 14090\n85318 100000\n82181 100000\n98120 100000\n84386 100000\n24202 36318\n55252 82766\n93220 100000\n75022 100000\n23486 35257\n51466 77114\n1056 1585\n43144 64600\n20441 30717\n30888 46280\n22479 33765\n10535 15849\n66415 99611\n69624 100000\n5075 7666\n55824 83635\n70734 100000\n20396 30648\n26145 39222\n95180 100000\n57314 85892\n86957 100000\n39367 58922\n76798 100000\n9731 14631\n36527 54703\n65128 97701\n96961 100000\n32733 49032\n26295 39449\n28282 42409\n49756 74549\n24175 36280\n25250 37876\n78931 100000\n71026 100000\n60292 90392\n26454 39681\n57365 85966\n95047 100000\n3361 5080\n9031 13576\n24947 37420\n22551 33872\n70752 100000\n41377 61959\n78468 100000\n95926 100000\n16549 24853\n12445 18733\n95589 100000\n51087 76539\n75286 100000\n76885 100000\n15515 23323\n68316 100000\n28742 43086\n52956 79320\n70872 100000\n20209 30365\n12183 18331\n30749 46082\n26632 39933\n35853 53669\n34956 52341\n31147 46660\n23027 34578\n65991 98984\n15385 23135\n73684 100000\n31844 47702\n37187 55675\n8381 12612\n71950 100000\n19656 29531\n19396 29151\n46285 69300\n97765 100000\n15754 23675\n31487 47167\n64002 95989\n77271 100000\n23009 34550\n1075 1611\n27103 40630\n54299 81344\n67657 100000\n2438 3700\n8217 12366\n12647 19041\n53122 79568\n52003 77888\n57285 85845\n16382 24600\n78081 100000\n58397 87526\n89872 100000\n30785 46132\n36990 55378\n11856 17850\n20887 31381\n90086 100000\n65578 98364\n85465 100000\n47373 70935\n73390 100000\n77915 100000\n48572 72752\n81343 100000\n97031 100000\n39467 59067\n14112 21246\n44958 67314\n12544 18887\n10623 15988\n57151 85640\n96465 100000\n9920 14925\n52812 79108\n54316 81368\n93537 100000\n74019 100000\n8997 13532\n31240 46809\n12943 19486\n97029 100000\n38743 57981\n72519 100000\n52846 79156\n63276 94894\n96090 100000\n35303 52850\n48738 73012\n58930 88323\n10998 16558\n60659 90950\n23321 35007\n27583 41358\n15794 23731\n15177 22827\n77480 100000\n47933 71771\n48420 72524\n67981 100000\n58275 87344\n95732 100000\n20546 30872\n77015 100000\n51973 77848\n54313 81364\n9150 13758\n48853 73185\n36559 54749\n98397 100000\n94625 100000\n35265 52793\n55145 82604\n44924 67265\n62404 93586\n19852 29824\n72709 100000\n66999 100000\n95300 100000\n20963 31493\n69028 100000\n1664 2496\n15551 23375\n71719 100000\n8810 13253\n97418 100000\n194 288\n96047 100000\n22173 33305\n94213 100000\n41404 62002\n59495 89197\n43980 65827\n35294 52835\n99980 100000\n42275 63311\n42399 63500\n41785 62580\n4340 6550\n77274 100000\n56516 84684\n27582 41356\n17710 26596\n86400 100000\n3670 5527\n68930 100000\n51115 76584\n2019 3045\n23229 34874\n60964 91393\n35855 53672\n67722 100000\n64367 96546\n16739 25119\n71696 100000\n88842 100000\n51904 77747\n66818 100000\n93114 100000\n7247 10922\n56839 85181\n75578 100000\n66068 99098\n87389 100000\n76548 100000\n7847 11816\n33999 50935\n45688 68397\n70900 100000\n33197 49731\n92593 100000\n2861 4329\n97048 100000\n60834 91203\n87613 100000\n98657 100000\n66140 99207\n15561 23389\n58757 88069\n94422 100000\n40201 60186\n46717 69949\n93408 100000\n45189 67653\n41864 62708\n44113 66026\n64868 97304\n62595 93876\n96346 100000\n55379 82960\n73630 100000\n79642 100000\n42582 63766\n97656 100000\n73009 100000\n91327 100000\n6254 9432\n89724 100000\n76180 100000\n39374 58935\n50204 75216\n13531 20359\n29631 44404\n17599 26422\n65564 98345\n86637 100000\n46921 70240\n59197 88729\n53018 79411\n95698 100000\n14151 21303\n9983 15017\n3386 5117\n75904 100000\n29169 43716\n14441 21725\n82236 100000\n72192 100000\n90196 100000\n5065 7650\n44985 67351\n29683 44470\n84763 100000\n38165 57131\n75717 100000\n48640 72860\n32701 48984\n60679 90980\n1417 2117\n2964 4490\n90767 100000\n98286 100000\n28234 42338\n15896 23881\n42107 63056\n53415 80008\n92428 100000\n64470 96696\n43381 64955\n78956 100000\n60457 90642\n28304 42439\n55830 83644\n50625 75848\n57214 85732\n59598 89354\n75477 100000\n4613 6969\n39404 58981\n61028 91493\n21205 31848\n55863 83696\n17084 25643\n78925 100000\n72420 100000\n73543 100000\n68953 100000\n39608 59274\n68988 100000\n65101 97658\n26915 40351\n37461 56081\n16081 24150\n45971 68826\n29287 43889\n8937 13441\n71315 100000\n182 268\n92500 100000\n26328 39496\n45437 68022\n36003 53898\n11911 17925\n41679 62419\n81867 100000\n62941 94400\n21886 32870\n87358 100000\n62825 94222\n62938 94394\n68618 100000\n97631 100000\n86718 100000\n49535 74220\n41845 62680\n87674 100000\n47786 71546\n8813 13258\n72702 100000\n83984 100000\n19884 29873\n24543 36829\n3178 4811\n68996 100000\n36517 54687\n48122 72059\n77312 100000\n96855 100000\n85451 100000\n94588 100000\n70140 100000\n34773 52076\n8576 12904\n12160 18296\n80776 100000\n81389 100000\n53654 80366\n23775 35685\n21060 31633\n99430 100000\n45268 67769\n12430 18711\n21082 31667\n26991 40456\n17593 26412\n54193 81185\n38726 57955\n71384 100000\n36285 54331\n46696 69919\n72706 100000\n49715 74488\n68784 100000\n45409 67977\n93912 100000\n5433 8199\n15880 23857\n20774 31213\n11870 17868\n36719 54987\n22244 33416\n24743 37125\n57672 86438\n23549 35353\n95724 100000\n40560 60730\n94458 100000\n46160 69104\n85573 100000\n31075 46551\n22825 34274\n75612 100000\n8630 12985\n14598 21954\n64727 97086\n53268 79785\n22949 34460\n75917 100000\n11497 17316\n57866 86728\n61716 92539\n63083 94604\n7941 11961\n44994 67365\n36959 55331\n38139 57092\n82374 100000\n47349 70898\n79265 100000\n61767 92617\n90243 100000\n51727 77489\n14279 21488\n37164 55641\n88108 100000\n59291 88877\n44892 67217\n8732 13137\n57319 85900\n3752 5651\n12547 18891\n10932 16464\n39059 58473\n35927 53781\n54884 82215\n95091 100000\n44498 66613\n27132 40674\n55960 83843\n77814 100000\n89178 100000\n82980 100000\n65270 97919\n92519 100000\n69789 100000\n96885 100000\n45407 67975\n16355 24558\n78521 100000\n48443 72557\n4064 6133\n75923 100000\n93800 100000\n75759 100000\n26418 39632\n93974 100000\n71340 100000\n12869 19372\n737 1100\n94668 100000\n38335 57392\n90404 100000\n60322 90438\n85855 100000\n55930 83797\n22333 33542\n54288 81330\n8144 12253\n9837 14799\n72339 100000\n7179 10823\n88684 100000\n58338 87439\n9064 13619\n59244 88801\n25080 37629\n67822 100000\n18845 28296\n53679 80403\n211 314\n15420 23186\n20820 31281\n76829 100000\n66090 99134\n41652 62374\n7153 10784\n29899 44798\n83516 100000\n64628 96935\n57958 86870\n53253 79759\n2512 3806\n7714 11618\n65939 98912\n86951 100000\n23934 35916\n83096 100000\n47746 71487\n22279 33471\n54815 82117\n57879 86749\n72602 100000\n59383 89024\n99038 100000\n32440 48581\n90431 100000\n77989 100000\n93845 100000\n61989 92963\n6133 9259\n45785 68542\n32057 48019\n72059 100000\n23293 34968\n26687 40018\n67978 100000\n76935 100000\n31414 47063\n10752 16187\n71016 100000\n9921 14926\n34513 51701\n85528 100000\n65752 98627\n60173 90213\n69105 100000\n95437 100000\n18608 27933\n88942 100000\n74301 100000\n402 606\n11997 18052\n58801 88132\n47391 70963\n72478 100000\n61244 91823\n9691 14573\n29643 44416\n1408 2103\n45818 68594\n77001 100000\n18085 27152\n30849 46225\n17342 26033\n66768 100000\n68272 100000\n45480 68089\n57043 85483\n65909 98868\n40096 60031\n31007 46454\n31400 47043\n16118 24204\n92896 100000\n93054 100000\n23586 35406\n62911 94353\n32123 48116\n23631 35474\n9638 14491\n35216 52716\n75481 100000\n3002 4549\n21297 31979\n96213 100000\n16577 24892\n90686 100000\n15504 23306\n61823 92699\n95291 100000\n72520 100000\n26932 40374\n69510 100000\n94302 100000\n91048 100000\n65910 98869\n67303 100000\n4818 7277\n44713 66950\n57440 86079\n68806 100000\n54669 81901\n81140 100000\n91372 100000\n24956 37434\n13322 20053\n2068 3124\n21364 32087\n28542 42795\n9851 14820\n92370 100000\n5591 8430\n51039 76468\n51982 77859\n96139 100000\n73725 100000\n71670 100000\n50470 75608\n12764 19213\n46233 69219\n23345 35043\n36080 54016\n9970 14999\n76892 100000\n4764 7195\n71712 100000\n74077 100000\n49173 73669\n39766 59514\n67118 100000\n20081 30169\n67664 100000\n55335 82895\n42651 63865\n94936 100000\n95030 100000\n16457 24711\n77074 100000\n69784 100000\n85918 100000\n20853 31331\n48671 72903\n51370 76970\n26506 39756\n20308 30510\n55442 83061\n57414 86041\n36364 54452\n24920 37381\n87025 100000\n97072 100000\n21642 32505\n33808 50645\n10138 15255\n9577 14400\n33063 49532\n64570 96850\n41235 61752\n92615 100000\n8398 12637\n294 439\n20516 30824\n15559 23386\n97548 100000\n51137 76615\n92923 100000\n73525 100000\n63472 95182\n10403 15656\n12403 18670\n50198 75207\n26919 40355\n92777 100000\n30663 45959\n20829 31294\n20643 31014\n17839 26783\n88644 100000\n59922 89842\n83429 100000\n96017 100000\n81499 100000\n61098 91602\n72337 100000\n80016 100000\n9116 13702\n43301 64839\n34543 51740\n51622 77339\n59838 89715\n78747 100000\n15179 22829\n17897 26868\n79459 100000\n22652 34017\n92516 100000\n85297 100000\n45061 67463\n20303 30500\n72693 100000\n77210 100000\n84831 100000\n6714 10139\n55026 82423\n9923 14928\n33282 49864\n25897 38856\n36438 54570\n49710 74479\n57772 86588\n39139 58590\n27113 40645\n99341 100000\n38016 56908\n38479 57607\n11922 17942\n41549 62221\n2526 3830\n33297 49886\n59359 88983\n67000 100000\n174 256\n67332 100000\n28596 42876\n44366 66415\n1981 2992\n22342 33557\n72462 100000\n13353 20103\n5739 8653\n70886 100000\n50681 75934\n36218 54227\n36369 54460\n85307 100000\n36070 53999\n30135 45151\n43945 65776\n35042 52470\n7212 10874\n44876 67194\n54177 81161\n32198 48225\n39571 59219\n98248 100000\n80725 100000\n31119 46617\n35038 52462\n86227 100000\n81032 100000\n27297 40922\n79302 100000\n6250 9426\n99363 100000\n37564 56233\n32425 48560\n16373 24585\n94525 100000\n61972 92939\n56012 83923\n77367 100000\n17906 26884\n80484 100000\n23240 34890\n55121 82570\n34730 52011\n79743 100000\n1674 2512\n87348 100000\n74802 100000\n58720 88007\n61828 92707\n2782 4205\n75798 100000\n28847 43243\n88418 100000\n71179 100000\n65501 98254\n54505 81655\n93851 100000\n10680 16076\n24921 37383\n47718 71440\n3830 5770\n14192 21365\n12536 18875\n992 1487\n6668 10063\n69921 100000\n47997 71874\n4970 7507\n51887 77722\n46111 69030\n17102 25668\n93829 100000\n69355 100000\n76990 100000\n68721 100000\n99858 100000\n91756 100000\n85458 100000\n20605 30955\n77301 100000\n76759 100000\n20670 31056\n54994 82375\n30467 45657\n48379 72460\n39282 58797\n33170 49687\n52997 79379\n3575 5392\n19408 29167\n93893 100000\n81302 100000\n91325 100000\n52546 78715\n80913 100000\n8053 12128\n56441 84571\n72245 100000\n69245 100000\n18408 27633\n58867 88230\n5192 7839\n17930 26917\n37653 56362\n67471 100000\n45685 68394\n31685 47471\n21036 31595\n52642 78850\n78987 100000\n60464 90655\n83247 100000\n78597 100000\n99465 100000\n54354 81426\n64286 96426\n39162 58624\n85840 100000\n70684 100000\n70790 100000\n1898 2866\n51710 77465\n74955 100000\n83711 100000\n19777 29705\n62497 93731\n47093 70503\n73353 100000\n64797 97194\n70958 100000\n58851 88208\n24283 36440\n98016 100000\n82558 100000\n94631 100000\n10361 15591\n86164 100000\n84347 100000\n42960 64329\n7191 10840\n53470 80090\n63035 94533\n63725 95577\n59085 88557\n21774 32699\n56061 83998\n5530 8345\n57447 86090\n95726 100000\n34645 51884\n98849 100000\n88732 100000\n57848 86698\n20119 30226\n67166 100000\n21523 32322\n97342 100000\n23561 35370\n52116 78055\n95417 100000\n1224 1831\n36822 55132\n82821 100000\n7000 10570\n60606 90864\n11531 17368\n34080 51062\n58624 87858\n97602 100000\n56355 84440\n44961 67317\n14880 22385\n7260 10941\n42790 64077\n53767 80546\n40920 61276\n65515 98274\n76527 100000\n31845 47704\n98668 100000\n14853 22345\n57019 85452\n87425 100000\n25202 37806\n54031 80943\n76998 100000\n68829 100000\n70126 100000\n29571 44315\n44375 66430\n81459 100000\n14804 22270\n38739 57975\n11241 16940\n86448 100000\n89685 100000\n24248 36384\n92887 100000\n56491 84643\n31354 46975\n24313 36486\n10960 16502\n46770 70024\n22513 33816\n21677 32558\n14962 22512\n36688 54941\n17676 26549\n67524 100000\n30331 45454\n17677 26550\n83635 100000\n52350 78413\n73211 100000\n44969 67329\n83055 100000\n78884 100000\n12656 19052\n85474 100000\n13744 20676\n96089 100000\n53058 79476\n88580 100000\n39032 58432\n14504 21816\n18088 27157\n606 906\n90258 100000\n47581 71241\n84957 100000\n73562 100000\n93896 100000\n84324 100000\n61929 92864\n39356 58908\n28787 43152\n23151 34761\n5769 8705\n93105 100000\n82098 100000\n56708 84981\n73825 100000\n53446 80054\n94955 100000\n5117 7730\n69537 100000\n69484 100000\n32060 48024\n86770 100000\n20225 30387\n7463 11245\n70104 100000\n37128 55589\n88143 100000\n85778 100000\n18227 27365\n37298 55843\n50212 75228\n21814 32763\n14364 21617\n47072 70474\n30837 46207\n33263 49835\n39125 58570\n92499 100000\n73816 100000\n9099 13673\n71185 100000\n88535 100000\n64542 96808\n13816 20780\n40372 60444\n83586 100000\n62745 94108\n8922 13417\n24550 36839\n36925 55285\n87280 100000\n90019 100000\n57091 85554\n85210 100000\n37638 56338\n59015 88448\n82710 100000\n60565 90803\n11711 17635\n93575 100000\n51732 77496\n32248 48304\n14211 21392\n62083 93101\n7085 10683\n62456 93674\n4386 6619\n87068 100000\n75293 100000\n44531 66660\n54026 80935\n86833 100000\n11930 17952\n82375 100000\n40768 61035\n64962 97448\n78495 100000\n73316 100000\n67619 100000\n45759 68505\n80544 100000\n65795 98691\n1347 2014\n97921 100000\n44893 67218\n14041 21132\n9086 13652\n99618 100000\n88861 100000\n93880 100000\n39600 59262\n21072 31650\n90048 100000\n34770 52071\n22782 34212\n77673 100000\n77230 100000\n181 266\n25050 37582\n10897 16409\n95444 100000\n58986 88407\n71154 100000\n38297 57331\n78541 100000\n12035 18109\n22735 34141\n23994 36008\n38692 57909\n56081 84030\n69790 100000\n74366 100000\n25361 38043\n84817 100000\n56789 85103\n24506 36778\n62330 93473\n82617 100000\n37399 55984\n17847 26796\n96726 100000\n75874 100000\n76654 100000\n66488 99730\n37400 55986\n66269 99398\n82819 100000\n88601 100000\n15891 23874\n39094 58520\n4017 6056\n59463 89142\n31495 47182\n20666 31051\n21446 32209\n63574 95342\n40412 60502\n88273 100000\n67410 100000\n94614 100000\n82940 100000\n34244 51308\n96986 100000\n67438 100000\n95793 100000\n41599 62296\n36826 55138\n86717 100000\n96725 100000\n72051 100000\n34847 52180\n5494 8291\n55500 83148\n64422 96629\n48294 72325\n87261 100000\n52093 78024\n52829 79134\n26146 39224\n40395 60476\n76507 100000\n94836 100000\n38072 56993\n11335 17084\n5220 7881\n203 302\n29669 44452\n19798 29737\n25856 38797\n8919 13412\n94334 100000\n32264 48326\n62500 93736\n26815 40201\n41437 62051\n31696 47488\n35950 53816\n84385 100000\n52027 77926\n41867 62711\n73472 100000\n97802 100000\n52259 78271\n19234 28902\n47158 70603\n61054 91532\n40588 60770\n22455 33730\n36912 55265\n41543 62211\n68182 100000\n82171 100000\n40823 61120\n44444 66527\n70627 100000\n91242 100000\n98866 100000\n97732 100000\n19107 28705\n78089 100000\n33072 49545\n65550 98325\n22889 34371\n22299 33499\n31929 47835\n4725 7134\n3985 6007\n64721 97077\n48874 73220\n66238 99352\n59465 89146\n90098 100000\n11557 17405\n92563 100000\n61412 92074\n97126 100000\n6248 9424\n39292 58812\n23073 34646\n66004 99003\n33779 50604\n12199 18358\n97213 100000\n1791 2700\n57513 86194\n86626 100000\n14053 21149\n65046 97573\n99237 100000\n55072 82493\n69204 100000\n11077 16685\n53525 80168\n21469 32244\n85314 100000\n30696 46006\n3383 5112\n27405 41089\n15355 23092\n24884 37331\n43399 64981\n29897 44795\n46888 70193\n2963 4488\n5676 8559\n24020 36046\n12396 18659\n61115 91629\n6114 9227\n74984 100000\n43505 65136\n15009 22581\n17981 26994\n14505 21817\n91485 100000\n82512 100000\n91539 100000\n25871 38820\n79510 100000\n5017 7571\n19962 29993\n18284 27451\n94149 100000\n86508 100000\n4229 6386\n48775 73069\n85382 100000\n10208 15355\n8444 12704\n43156 64621\n89739 100000\n30553 45785\n81937 100000\n45842 68630\n90996 100000\n36086 54024\n44320 66346\n77387 100000\n51918 77767\n13105 19721\n85644 100000\n97819 100000\n7907 11908\n96559 100000\n27205 40785\n98619 100000\n45238 67726\n42626 63829\n49142 73622\n79475 100000\n71283 100000\n48798 73106\n29209 43766\n94493 100000\n42101 63048\n58047 87004\n88375 100000\n66956 100000\n16866 25320\n18967 28487\n38868 58184\n47254 70756\n41654 62377\n9633 14483\n58392 87519\n94216 100000\n9783 14714\n39492 59104\n44247 66236\n48360 72429\n7621 11484\n50179 75178\n54093 81043\n53270 79788\n71310 100000\n73565 100000\n16560 24866\n57658 86416\n34810 52130\n2137 3229\n66860 100000\n42898 64233\n79040 100000\n9027 13571\n23563 35373\n41579 62265\n39678 59379\n4422 6673\n25491 38240\n53330 79878\n9554 14367\n68669 100000\n20415 30676\n40715 60958\n18093 27166\n24487 36750\n51203 76719\n38322 57372\n42085 63026\n48452 72569\n69047 100000\n96939 100000\n36195 54192\n74551 100000\n471 703\n41289 61830\n9532 14333\n4799 7247\n76492 100000\n30570 45813\n25055 37591\n58828 88173\n5470 8254\n47259 70763\n63125 94670\n43669 65373\n67529 100000\n81585 100000\n16689 25049\n60610 90872\n28577 42847\n48262 72278\n61940 92884\n25485 38232\n33858 50722\n95981 100000\n10926 16456\n65875 98812\n91336 100000\n6666 10060\n74241 100000\n52629 78832\n20406 30663\n44851 67155\n95547 100000\n6881 10394\n73042 100000\n94376 100000\n5879 8882\n40706 60945\n19769 29692\n92091 100000\n63569 95333\n51068 76511\n60089 90091\n27185 40753\n83140 100000\n55366 82942\n17298 25964\n50218 75237\n64735 97097\n59379 89017\n74751 100000\n77362 100000\n39145 58598\n96250 100000\n18944 28451\n90430 100000\n87818 100000\n47755 71500\n49170 73663\n25579 38372\n35703 53449\n30562 45802\n32989 49419\n48529 72685\n80144 100000\n32567 48776\n87979 100000\n60511 90727\n85964 100000\n47102 70517\n59797 89654\n794 1189\n36819 55128\n16874 25331\n66992 100000\n92565 100000\n54254 81276\n36414 54529\n12251 18441\n10712 16125\n92153 100000\n341 512\n4323 6522\n44007 65867\n41939 62807\n86697 100000\n38260 57275\n14615 21982\n49636 74369\n83965 100000\n33701 50491\n53751 80515\n23077 34652\n53150 79608\n66156 99230\n833 1245\n95055 100000\n79370 100000\n47909 71739\n29829 44696\n46612 69795\n98608 100000\n3523 5317\n94068 100000\n99411 100000\n75713 100000\n33454 50117\n21272 31945\n76005 100000\n50499 75655\n5270 7954\n48607 72807\n82320 100000\n44815 67100\n24777 37171\n14725 22151\n70463 100000\n59194 88723\n52318 78367\n3497 5279\n99269 100000\n63822 95731\n1845 2782\n16365 24573\n34223 51280\n96283 100000\n57229 85756\n71174 100000\n72237 100000\n70994 100000\n9480 14256\n71389 100000\n64506 96751\n17168 25771\n61649 92438\n13829 20799\n1456 2174\n23840 35776\n82622 100000\n61415 92079\n32816 49163\n62304 93441\n78419 100000\n50362 75456\n41058 61478\n4761 7191\n3230 4886\n1759 2644\n78952 100000\n74289 100000\n10944 16482\n39639 59320\n15167 22813\n44705 66937\n25857 38798\n70732 100000\n12766 19217\n71240 100000\n14552 21888\n26240 39371\n5933 8964\n47520 71151\n47148 70586\n6527 9852\n97411 100000\n33696 50485\n47492 71110\n17247 25888\n16136 24232\n3202 4846\n3923 5910\n59800 89659\n41641 62359\n89706 100000\n62762 94133\n86726 100000\n98822 100000\n91957 100000\n35198 52689\n24544 36830\n46846 70128\n29350 43979\n20462 30749\n25928 38901\n51636 77357\n77105 100000\n57741 86547\n25378 38066\n19742 29654\n34309 51405\n13231 19916\n76696 100000\n4715 7120\n88731 100000\n99635 100000\n46586 69758\n20548 30875\n33845 50703\n19706 29601\n34582 51792\n34275 51355\n37561 56229\n56962 85363\n65028 97546\n85830 100000\n23991 36003\n7068 10658\n828 1238\n66330 99493\n49452 74100\n79670 100000\n80389 100000\n34522 51714\n61953 92908\n70018 100000\n59515 89227\n14336 21575\n24710 37080\n35276 52812\n40908 61259\n14940 22478\n48058 71967\n33183 49708\n94970 100000\n96013 100000\n97826 100000\n22260 33441\n14037 21125\n76176 100000\n10903 16421\n86883 100000\n71828 100000\n7424 11184\n40381 60457\n66362 99540\n87720 100000\n66783 100000\n73638 100000\n7705 11604\n8408 12652\n75380 100000\n21287 31966\n99034 100000\n82239 100000\n89655 100000\n86649 100000\n52398 78482\n6578 9927\n77741 100000\n73120 100000\n78308 100000\n66549 99823\n11736 17674\n21135 31747\n54298 81343\n63828 95739\n95536 100000\n68659 100000\n26441 39663\n55518 83173\n6019 9090\n62047 93048\n51889 77725\n67484 100000\n64522 96777\n25040 37566\n86312 100000\n49130 73605\n85696 100000\n3411 5154\n13053 19649\n55317 82865\n45924 68752\n97136 100000\n10937 16471\n34387 51520\n11747 17693\n64099 96139\n88877 100000\n5727 8635\n5460 8239\n13490 20298\n29425 44095\n45912 68736\n81447 100000\n27021 40507\n76300 100000\n51096 76554\n32964 49384\n79813 100000\n78919 100000\n42383 63477\n79387 100000\n41369 61946\n77485 100000\n11157 16812\n69575 100000\n88206 100000\n53709 80448\n95344 100000\n68346 100000\n77348 100000\n12682 19092\n88163 100000\n67436 100000\n25060 37598\n84299 100000\n3149 4769\n3632 5476\n12511 18832\n77880 100000\n43855 65647\n39705 59424\n69390 100000\n57362 85960\n11799 17768\n56659 84910\n4065 6135\n65678 98510\n63601 95385\n90319 100000\n39698 59411\n87133 100000\n45944 68783\n14945 22488\n19311 29016\n38442 57554\n86564 100000\n83087 100000\n11704 17624\n67766 100000\n11957 17992\n15856 23821\n42044 62962\n17678 26552\n5680 8566\n85505 100000\n68898 100000\n76380 100000\n83032 100000\n95412 100000\n73584 100000\n48441 72554\n82274 100000\n91542 100000\n72424 100000\n46530 69671\n68670 100000\n40034 59934\n37910 56749\n81721 100000\n23622 35461\n61475 92174\n78179 100000\n60571 90813\n16527 24820\n19629 29494\n34032 50988\n9505 14294\n36163 54140\n75175 100000\n845 1259\n69837 100000\n77019 100000\n78689 100000\n40513 60655\n82822 100000\n8564 12885\n29972 44902\n72634 100000\n10167 15299\n67801 100000\n23246 34900\n43018 64412\n16293 24471\n49320 73887\n5735 8648\n38158 57120\n35654 53380\n13066 19668\n90618 100000\n604 903\n68101 100000\n2096 3169\n64883 97327\n44446 66530\n72978 100000\n66398 99586\n80707 100000\n92869 100000\n75786 100000\n1091 1637\n41068 61493\n4982 7523\n60484 90684\n44322 66348\n81062 100000\n40575 60751\n57406 86026\n37297 55842\n53282 79808\n63415 95096\n27556 41314\n7229 10899\n74598 100000\n7181 10825\n98085 100000\n48407 72503\n36599 54808\n72316 100000\n45419 67994\n60828 91195\n44537 66669\n13691 20604\n73012 100000\n65643 98459\n90336 100000\n31067 46538\n75179 100000\n34024 50976\n13594 20458\n7651 11528\n77886 100000\n73654 100000\n75469 100000\n74427 100000\n91730 100000\n65319 97990\n77758 100000\n59734 89561\n7176 10817\n49542 74229\n72653 100000\n24590 36902\n3285 4968\n36073 54004\n7987 12033\n41673 62409\n84852 100000\n38256 57270\n66724 100000\n31829 47684\n85299 100000\n54677 81912\n60193 90242\n42159 63134\n82717 100000\n58064 87031\n61965 92928\n89096 100000\n98414 100000\n75671 100000\n94050 100000\n15458 23239\n26949 40399\n10439 15709\n86910 100000\n84757 100000\n56577 84778\n69729 100000\n1200 1797\n9682 14559\n4936 7455\n56089 84043\n86976 100000\n8558 12874\n62783 94163\n59428 89097\n35987 53875\n64805 97207\n99614 100000\n47547 71190\n53926 80782\n38611 57796\n84388 100000\n98814 100000\n11103 16727\n66073 99108\n54312 81362\n80636 100000\n27422 41116\n62225 93317\n47237 70732\n88755 100000\n72579 100000\n78482 100000\n97695 100000\n61988 92961\n18027 27063\n80890 100000\n313 471\n62591 93870\n66515 99771\n34205 51250\n95145 100000\n66292 99433\n2617 3968\n23856 35800\n91094 100000\n4608 6960\n94737 100000\n10044 15112\n57301 85872\n38785 58051\n89758 100000\n11210 16892\n14484 21785\n34439 51593\n23606 35437\n90112 100000\n15477 23267\n78441 100000\n70332 100000\n38932 58273\n37679 56402\n54780 82067\n59998 89955\n93413 100000\n74178 100000\n23014 34557\n43155 64619\n16418 24651\n18623 27956\n56822 85155\n93142 100000\n41985 62876\n5100 7708\n36151 54124\n59008 88436\n16312 24498\n44603 66770\n321 480\n85247 100000\n96249 100000\n83841 100000\n90133 100000\n8657 13022\n49503 74179\n48960 73343\n24965 37450\n55543 83211\n13286 20002\n81939 100000\n91013 100000\n37276 55810\n13155 19801\n54176 81160\n66318 99474\n11696 17615\n17737 26633\n97926 100000\n65035 97558\n86645 100000\n30403 45561\n80621 100000\n2173 3285\n60790 91141\n39470 59070\n362 546\n75450 100000\n63773 95652\n36837 55154\n45700 68416\n15881 23859\n10422 15683\n79451 100000\n74571 100000\n14250 21445\n13865 20858\n36842 55161\n75112 100000\n70572 100000\n56293 84343\n41823 62643\n57584 86310\n75569 100000\n14526 21852\n15391 23145\n5886 8894\n93563 100000\n3939 5935\n744 1112\n21893 32879\n98732 100000\n75338 100000\n1768 2661\n66260 99385\n32925 49329\n98323 100000\n46967 70310\n89487 100000\n56202 84212\n7527 11347\n38675 57879\n38065 56984\n54726 81981\n35776 53554\n92786 100000\n46121 69043\n95781 100000\n36803 55108\n33625 50384\n46316 69343\n29197 43750\n75020 100000\n84225 100000\n60172 90211\n83223 100000\n96674 100000\n86710 100000\n74656 100000\n41323 61883\n46382 69441\n79485 100000\n98694 100000\n62795 94180\n27833 41728\n53245 79750\n87588 100000\n29454 44137\n48041 71940\n77993 100000\n69260 100000\n27308 40939\n76932 100000\n82885 100000\n20128 30238\n56604 84824\n98127 100000\n43597 65264\n96340 100000\n85355 100000\n94963 100000\n39210 58695\n62823 94220\n96232 100000\n19205 28854\n82925 100000\n32483 48647\n57386 85996\n88962 100000\n17642 26492\n10603 15956\n93163 100000\n84272 100000\n48192 72168\n8695 13080\n91826 100000\n48120 72055\n18261 27416\n55944 83817\n98488 100000\n23632 35475\n25793 38701\n42723 63979\n43516 65151\n68134 100000\n60148 90171\n72791 100000\n37344 55906\n57934 86836\n89109 100000\n21516 32312\n8699 13085\n22114 33217\n22439 33705\n25190 37787\n28741 43085\n83910 100000\n44777 67045\n7862 11838\n27985 41950\n50301 75360\n9631 14480\n45215 67691\n40010 59897\n6979 10540\n46063 68956\n46065 68959\n16636 24969\n14737 22169\n519 772\n39385 58951\n81951 100000\n9192 13825\n67060 100000\n8831 13284\n92918 100000\n75619 100000\n14654 22042\n86990 100000\n57981 86905\n1113 1668\n48754 73035\n4759 7188\n95725 100000\n72386 100000\n17413 26145\n63804 95701\n213 317\n46335 69371\n8986 13515\n1006 1508\n11859 17854\n48473 72602\n49266 73805\n44635 66823\n15545 23366\n24903 37360\n63962 95933\n46637 69830\n72042 100000\n59767 89615\n54014 80916\n84826 100000\n17986 27001\n79206 100000\n48703 72955\n70093 100000\n55165 82634\n6517 9837\n77730 100000\n81446 100000\n87269 100000\n88488 100000\n9101 13677\n64682 97015\n81629 100000\n78522 100000\n12384 18642\n87294 100000\n68573 100000\n3435 5186\n49286 73834\n58614 87843\n26307 39467\n15560 23388\n48036 71933\n29399 44053\n53669 80388\n25301 37950\n19903 29904\n46821 70097\n94710 100000\n61225 91793\n70661 100000\n69100 100000\n44572 66723\n37136 55600\n57375 85981\n89811 100000\n37253 55776\n42184 63176\n21175 31806\n39477 59082\n16809 25235\n33552 50265\n94570 100000\n37001 55394\n31192 46733\n29781 44621\n7097 10700\n33993 50929\n24401 36620\n43539 65183\n2236 3384\n27871 41781\n58478 87645\n10155 15278\n76954 100000\n23557 35364\n18059 27113\n36723 54994\n73705 100000\n32626 48868\n96073 100000\n67927 100000\n67915 100000\n28422 42613\n73004 100000\n48032 71926\n44591 66749\n22690 34073\n95233 100000\n26518 39770\n21120 31724\n52826 79129\n79693 100000\n68923 100000\n86669 100000\n95503 100000\n37247 55769\n71561 100000\n84733 100000\n54752 82026\n4794 7239\n35077 52521\n92724 100000\n5516 8325\n80881 100000\n93781 100000\n41560 62237\n64148 96214\n6524 9847\n43096 64529\n67628 100000\n42242 63263\n80996 100000\n37579 56253\n39877 59697\n91431 100000\n27660 41470\n91911 100000\n40846 61156\n854 1270\n76037 100000\n22986 34514\n91124 100000\n27932 41875\n81132 100000\n28620 42911\n40292 60317\n75921 100000\n29882 44772\n70837 100000\n47297 70819\n15413 23177\n57413 86040\n71227 100000\n49089 73540\n18271 27432\n8255 12425\n12932 19467\n91557 100000\n3097 4691\n46269 69277\n32126 48120\n62051 93054\n56970 85375\n78202 100000\n71038 100000\n40596 60782\n32054 48014\n88739 100000\n1104 1656\n65263 97908\n62361 93516\n53054 79469\n67102 100000\n50544 75727\n34294 51381\n73382 100000\n10019 15072\n88305 100000\n43194 64676\n51092 76548\n3476 5247\n96866 100000\n48269 72288\n30971 46403\n49279 73824\n74642 100000\n41666 62398\n45067 67472\n74979 100000\n37390 55971\n50236 75264\n22059 33130\n21659 32530\n51856 77678\n27508 41244\n77633 100000\n23119 34712\n60136 90153\n43426 65021\n5570 8400\n96943 100000\n68106 100000\n73244 100000\n40083 60011\n88603 100000\n66300 99446\n76471 100000\n61187 91735\n45316 67839\n28595 42875\n17868 26826\n91285 100000\n51177 76680\n17380 26094\n24201 36316\n64277 96413\n57819 86657\n97694 100000\n5114 7727\n25042 37570\n64806 97209\n27300 40927\n29519 44230\n31148 46662\n63268 94881\n42762 64036\n27941 41887\n93011 100000\n67965 100000\n82541 100000\n11764 17718\n34657 51902\n45891 68706\n51492 77153\n12967 19522\n18982 28510\n74217 100000\n66522 99782\n51759 77538\n65041 97566\n15081 22683\n42401 63503\n79463 100000\n29980 44914\n74485 100000\n29027 43508\n7572 11412\n83585 100000\n80387 100000\n82955 100000\n15093 22702\n81284 100000\n85652 100000\n20863 31347\n68239 100000\n48299 72334\n31850 47712\n5912 8936\n94001 100000\n12539 18880\n65920 98883\n22061 33133\n18890 28368\n58440 87588\n41030 61437\n79820 100000\n62898 94334\n28534 42780\n17953 26952\n11067 16670\n5895 8907\n61119 91634\n29431 44104\n11980 18025\n85561 100000\n71262 100000\n18524 27808\n83421 100000\n24635 36971\n35859 53679\n952 1426\n54812 82112\n17107 25675\n13958 20999\n725 1082\n11810 17787\n5633 8490\n22789 34220\n407 613\n10511 15815\n77563 100000\n95921 100000\n36448 54586\n91302 100000\n96279 100000\n79878 100000\n39143 58595\n93597 100000\n47711 71432\n24617 36944\n25274 37913\n27976 41936\n71889 100000\n78258 100000\n64465 96689\n66146 99217\n23977 35982\n18694 28061\n91236 100000\n58586 87803\n6455 9739\n75949 100000\n60377 90522\n46227 69208\n10687 16088\n75981 100000\n3116 4718\n14980 22537\n90061 100000\n37972 56842\n76419 100000\n96061 100000\n82466 100000\n4164 6285\n63255 94863\n79664 100000\n28081 42105\n66743 100000\n37571 56243\n11587 17451\n59980 89927\n38513 57659\n11925 17945\n38448 57561\n94310 100000\n67195 100000\n69127 100000\n46444 69534\n86156 100000\n62060 93065\n55715 83470\n99790 100000\n44408 66477\n73366 100000\n10271 15459\n39610 59277\n44006 65865\n36742 55020\n56300 84355\n342 514\n94691 100000\n43792 65556\n71756 100000\n30801 46157\n68851 100000\n35374 52955\n39914 59752\n67654 100000\n24639 36976\n6294 9492\n87656 100000\n86909 100000\n48272 72293\n21845 32809\n83063 100000\n62455 93673\n15018 22595\n8567 12889\n27591 41368\n16379 24594\n63936 95897\n20850 31327\n77807 100000\n89503 100000\n67685 100000\n20210 30366\n60867 91248\n57429 86064\n79266 100000\n78007 100000\n60007 89967\n59670 89460\n2355 3568\n6309 9518\n32472 48631\n18404 27628\n64111 96157\n70751 100000\n25643 38467\n56636 84874\n50001 74920\n1748 2626\n60489 90692\n13771 20715\n32266 48329\n2557 3876\n49533 74217\n99307 100000\n59851 89734\n94236 100000\n97643 100000\n33828 50677\n10538 15854\n16294 24473\n12501 18819\n68678 100000\n22103 33200\n74618 100000\n98385 100000\n79183 100000\n81582 100000\n19566 29395\n42643 63853\n15978 23998\n42552 63724\n85949 100000\n99524 100000\n15962 23974\n62841 94248\n61157 91689\n35411 53009\n47305 70832\n61166 91704\n68429 100000\n2468 3740\n68079 100000\n99628 100000\n34182 51217\n9828 14785\n19336 29057\n86920 100000\n54563 81742\n24684 37043\n99100 100000\n6692 10103\n59206 88742\n42665 63889\n85370 100000\n35310 52859\n60752 91090\n22278 33470\n38761 58011\n57890 86764\n64948 97427\n47737 71473\n65162 97756\n65337 98016\n23710 35592\n2121 3204\n55939 83810\n2501 3789\n43005 64393\n53131 79583\n10962 16505\n51884 77716\n7955 11982\n9911 14912\n20984 31522\n5279 7968\n86895 100000\n68479 100000\n61524 92250\n29267 43858\n86272 100000\n27948 41896\n70611 100000\n91426 100000\n12359 18604\n38777 58036\n35382 52965\n81595 100000\n78373 100000\n27286 40907\n36883 55224\n39885 59711\n50633 75860\n34943 52323\n62442 93651\n61414 92077\n34867 52212\n17715 26604\n51660 77392\n57018 85450\n29464 44152\n27720 41557\n68473 100000\n3264 4934\n48963 73348\n30244 45320\n83229 100000\n20717 31126\n33457 50123\n38935 58279\n51031 76457\n48093 72018\n67369 100000\n86516 100000\n17699 26581\n8286 12473\n33120 49614\n55426 83037\n52410 78500\n34608 51832\n69240 100000\n15319 23033\n6240 9412\n25280 37921\n67697 100000\n4327 6530\n90824 100000\n18292 27464\n84567 100000\n15669 23545\n41428 62039\n84226 100000\n92700 100000\n15924 23920\n83950 100000\n23719 35606\n3278 4957\n96527 100000\n53484 80110\n60958 91383\n93955 100000\n9279 13957\n34144 51158\n94809 100000\n70688 100000\n33324 49923\n34399 51534\n88711 100000\n9106 13686\n47522 71155\n12163 18301\n10714 16128\n22713 34109\n79478 100000\n28301 42434\n15943 23949\n90469 100000\n75361 100000\n89441 100000\n40554 60721\n40000 59880\n79077 100000\n59841 89720\n52141 78091\n23884 35840\n76728 100000\n83143 100000\n2439 3702\n90597 100000\n57032 85468\n44003 65859\n61264 91854\n83117 100000\n7437 11204\n32151 48156\n84839 100000\n18953 28466\n55088 82520\n45432 68016\n13902 20916\n81545 100000\n28936 43375\n38266 57284\n19236 28906\n93790 100000\n82071 100000\n94326 100000\n61558 92302\n96629 100000\n60625 90897\n16504 24785\n3281 4961\n36725 54996\n61849 92741\n76031 100000\n19398 29154\n76490 100000\n41280 61819\n63460 95163\n5659 8533\n32836 49192\n56393 84497\n60667 90961\n37003 55396\n88816 100000\n54841 82153\n22677 34053\n3162 4787\n3490 5269\n34822 52148\n62981 94457\n26764 40127\n94401 100000\n85740 100000\n3988 6012\n55692 83437\n42081 63020\n22524 33830\n44276 66279\n88952 100000\n62867 94290\n1415 2114\n50884 76232\n3044 4616\n79918 100000\n8692 13076\n11030 16614\n7217 10880\n47663 71361\n67246 100000\n44853 67159\n61844 92733\n17409 26138\n44878 67196\n44362 66409\n71690 100000\n90454 100000\n31611 47357\n72479 100000\n76161 100000\n90920 100000\n49355 73943\n8770 13193\n89461 100000\n60301 90404\n72865 100000\n20861 31345\n73069 100000\n61123 91639\n81984 100000\n94081 100000\n82715 100000\n12956 19504\n95751 100000\n69815 100000\n8609 12955\n44240 66224\n38400 57495\n86835 100000\n83779 100000\n50378 75478\n62116 93155\n57838 86683\n78233 100000\n18598 27916\n43799 65564\n24895 37349\n51346 76934\n30245 45322\n87781 100000\n69992 100000\n56792 85107\n22804 34242\n93716 100000\n65066 97606\n74800 100000\n28565 42828\n43369 64937\n99948 100000\n74878 100000\n34071 51047\n50686 75941\n42157 63131\n52065 77982\n63112 94649\n31950 47865\n87222 100000\n60420 90585\n73144 100000\n50500 75656\n42922 64273\n76305 100000\n48144 72093\n59902 89812\n16503 24783\n94569 100000\n58627 87863\n53243 79747\n17329 26014\n7845 11813\n55991 83889\n86851 100000\n99014 100000\n60137 90155\n47813 71589\n29134 43668\n39265 58774\n10191 15332\n77360 100000\n83930 100000\n96689 100000\n91212 100000\n62592 93872\n72522 100000\n4442 6704\n8958 13473\n45956 68800\n10631 15999\n24820 37229\n12496 18814\n29278 43875\n92059 100000\n13629 20514\n60922 91328\n1492 2233\n61846 92737\n69839 100000\n44845 67145\n90259 100000\n46625 69811\n95427 100000\n9218 13864\n55052 82460\n21290 31970\n87188 100000\n9981 15014\n90874 100000\n10243 15413\n37509 56149\n87652 100000\n87254 100000\n44385 66445\n74823 100000\n56190 84195\n74691 100000\n92128 100000\n77475 100000\n46215 69188\n3028 4591\n21448 32212\n29496 44197\n30870 46257\n19005 28544\n82643 100000\n3302 4994\n73216 100000\n91495 100000\n76834 100000\n2305 3487\n41061 61482\n28134 42189\n74639 100000\n70843 100000\n80620 100000\n70676 100000\n24022 36049\n94190 100000\n79959 100000\n46791 70051\n34561 51763\n33935 50837\n8241 12403\n69221 100000\n7072 10664\n51415 77037\n12833 19316\n85832 100000\n26043 39069\n15475 23263\n2194 3316\n50148 75133\n56379 84476\n53307 79845\n40553 60719\n76150 100000\n5089 7689\n66939 100000\n52011 77900\n87264 100000\n74541 100000\n3879 5843\n15755 23677\n88789 100000\n77967 100000\n34479 51652\n12933 19469\n23640 35486\n61910 92834\n88304 100000\n20084 30174\n40295 60321\n93584 100000\n62664 93981\n24302 36467\n991 1486\n45508 68130\n91144 100000\n89720 100000\n57647 86400\n87658 100000\n25474 38218\n37983 56857\n58194 87220\n55146 82605\n35049 52479\n84782 100000\n99228 100000\n93915 100000\n8435 12690\n3224 4876\n86439 100000\n58317 87410\n33426 50079\n92037 100000\n32343 48442\n59376 89012\n5832 8806\n6878 10389\n16257 24420\n21995 33029\n31479 47154\n79912 100000\n48263 72279\n18504 27778\n95575 100000\n55870 83707\n4789 7233\n48748 73027\n64446 96662\n87405 100000\n11195 16869\n10709 16121\n25981 38975\n32689 48963\n93930 100000\n67612 100000\n23546 35349\n39328 58866\n23556 35363\n22331 33539\n56185 84186\n80049 100000\n11479 17288\n37418 56014\n25035 37558\n45898 68715\n23228 34873\n29060 43560\n76050 100000\n49297 73851\n51951 77813\n26666 39978\n60744 91079\n30510 45721\n22996 34530\n11025 16605\n35096 52549\n41052 61469\n84234 100000\n29582 44332\n84316 100000\n84589 100000\n33669 50452\n62062 93068\n35771 53546\n50728 76004\n32055 48016\n25519 38281\n79243 100000\n65282 97938\n11121 16752\n35765 53537\n71745 100000\n52404 78490\n14403 21671\n318 476\n98631 100000\n68122 100000\n72343 100000\n35245 52763\n39825 59614\n54952 82316\n99016 100000\n97005 100000\n36037 53950\n38790 58059\n18553 27853\n3226 4880\n68668 100000\n7806 11756\n92717 100000\n13318 20047\n7423 11182\n73283 100000\n75372 100000\n42051 62974\n41640 62357\n79003 100000\n75485 100000\n47973 71835\n52599 78790\n17764 26672\n37870 56683\n95036 100000\n49118 73585\n29251 43831\n84934 100000\n13057 19656\n85527 100000\n73058 100000\n62212 93295\n72658 100000\n49172 73667\n90805 100000\n1014 1521\n47660 71356\n55216 82710\n5029 7590\n6159 9299\n65405 98114\n94899 100000\n49386 73998\n86021 100000\n36435 54566\n35537 53205\n66512 99766\n98145 100000\n75707 100000\n35781 53561\n22664 34034\n16482 24752\n73697 100000\n5661 8537\n96257 100000\n35039 52464\n61256 91844\n80261 100000\n3977 5994\n23376 35090\n59208 88745\n47269 70779\n82752 100000\n35811 53601\n8654 13019\n61097 91601\n99463 100000\n67514 100000\n45969 68823\n35742 53503\n92664 100000\n43168 64636\n25863 38806\n95564 100000\n29319 43936\n64338 96507\n79399 100000\n25564 38348\n40429 60528\n95997 100000\n55340 82904\n73146 100000\n15076 22675\n64060 96080\n40089 60020\n18280 27445\n13111 19730\n44416 66488\n8550 12862\n87510 100000\n11019 16595\n49624 74350\n29831 44699\n3087 4676\n77754 100000\n97186 100000\n6196 9352\n19675 29557\n78628 100000\n43595 65261\n17267 25916\n12851 19343\n50037 74976\n82189 100000\n72677 100000\n68599 100000\n99530 100000\n21890 32876\n89093 100000\n26580 39862\n34711 51980\n55148 82608\n41531 62193\n91518 100000\n64554 96824\n3539 5340\n77049 100000\n78095 100000\n52429 78531\n10692 16097\n54878 82207\n47964 71821\n19391 29145\n89568 100000\n116 167\n3794 5715\n4317 6513\n80374 100000\n19199 28846\n41253 61780\n2807 4241\n33196 49730\n61062 91546\n51956 77821\n55642 83364\n53753 80519\n71680 100000\n74567 100000\n39061 58475\n92267 100000\n63219 94807\n81397 100000\n37502 56140\n63820 95727\n32987 49417\n91268 100000\n74189 100000\n90670 100000\n18601 27922\n15053 22643\n19862 29839\n89007 100000\n28574 42844\n30677 45980\n45460 68058\n41795 62597\n51173 76673\n59898 89807\n58587 87804\n78768 100000\n63728 95581\n91711 100000\n73409 100000\n67555 100000\n54851 82168\n60 86\n19053 28616\n83746 100000\n94298 100000\n13079 19684\n34442 51597\n43281 64809\n68117 100000\n72644 100000\n98947 100000\n66570 99857\n99638 100000\n14249 21444\n63022 94515\n69106 100000\n78092 100000\n70004 100000\n76660 100000\n33370 49992\n43662 65365\n90880 100000\n58963 88370\n94566 100000\n95405 100000\n65432 98155\n99459 100000\n23964 35961\n24147 36238\n65888 98833\n39609 59276\n507 754\n31768 47592\n61336 91958\n41751 62524\n60802 91158\n21288 31968\n12202 18362\n93611 100000\n33 48\n99087 100000\n74983 100000\n88554 100000\n36036 53949\n62059 93064\n44784 67055\n8728 13132\n27650 41455\n88801 100000\n95722 100000\n45348 67886\n7713 11617\n77382 100000\n4527 6829\n15583 23421\n97456 100000\n33663 50443\n6282 9475\n59925 89847\n8338 12550\n87745 100000\n16864 25318\n95051 100000\n81077 100000\n10343 15563\n6865 10372\n27483 41210\n86743 100000\n54497 81642\n84305 100000\n32911 49309\n71770 100000\n66086 99128\n73541 100000\n59019 88455\n33725 50523\n61191 91741\n17250 25891\n19727 29632\n13582 20441\n31680 47462\n85672 100000\n21919 32916\n79884 100000\n93089 100000\n3243 4904\n23017 34561\n62714 94061\n27914 41845\n20203 30354\n7010 10585\n36331 54400\n6792 10260\n90079 100000\n89170 100000\n56963 85365\n8821 13270\n87608 100000\n78414 100000\n8412 12658\n60623 90894\n13850 20835\n67716 100000\n90478 100000\n8907 13396\n33797 50631\n40970 61350\n19081 28659\n13859 20850\n25767 38660\n51800 77599\n99271 100000\n76448 100000\n11424 17210\n66616 99923\n40127 60077\n36876 55212\n87277 100000\n78634 100000\n26662 39972\n1368 2045\n54736 81998\n74242 100000\n6811 10290\n21517 32313\n65170 97769\n78320 100000\n21263 31933\n20855 31335\n74954 100000\n2309 3493\n5928 8955\n90157 100000\n82009 100000\n16986 25498\n76762 100000\n84634 100000\n58923 88314\n44691 66913\n67022 100000\n62091 93115\n74478 100000\n19524 29338\n74297 100000\n83430 100000\n5058 7637\n1882 2842\n54148 81118\n71785 100000\n98703 100000\n49696 74456\n3096 4689\n18335 27527\n26784 40156\n56598 84814\n99266 100000\n60968 91397\n75440 100000\n38681 57889\n59375 89010\n97840 100000\n68218 100000\n57868 86731\n30434 45609\n83533 100000\n76135 100000\n47315 70847\n49695 74455\n43143 64598\n16597 24917\n35854 53671\n31560 47277\n68978 100000\n13942 20973\n85818 100000\n52328 78382\n55584 83274\n64611 96915\n49416 74048\n1538 2301\n91650 100000\n52317 78365\n41320 61879\n38391 57479\n27131 40672\n66776 100000\n17191 25802\n29896 44794\n48770 73060\n64479 96709\n66315 99469\n12225 18399\n7328 11040\n5281 7971\n12385 18643\n41591 62282\n81672 100000\n81134 100000\n53124 79571\n56076 84021\n42353 63429\n32685 48957\n81025 100000\n12386 18644\n55489 83132\n11311 17047\n50627 75851\n11756 17705\n23740 35636\n60544 90775\n8227 12380\n6429 9698\n22510 33812\n13096 19709\n32703 48987\n53899 80740\n95902 100000\n29145 43683\n65610 98413\n19305 29008\n24692 37055\n77874 100000\n97439 100000\n85362 100000\n45142 67580\n24176 36282\n40726 60974\n36074 54005\n65397 98101\n16242 24395\n85022 100000\n36798 55100\n86662 100000\n34403 51541\n97648 100000\n5872 8871\n5963 9012\n27008 40486\n56349 84431\n89986 100000\n63777 95657\n99107 100000\n11001 16563\n34588 51802\n66163 99239\n81905 100000\n79080 100000\n11600 17468\n19933 29952\n46180 69132\n67241 100000\n86720 100000\n94055 100000\n40747 61003\n72533 100000\n49846 74687\n48621 72829\n32866 49237\n69059 100000\n71602 100000\n21816 32766\n27743 41589\n20022 30081\n60444 90622\n80892 100000\n93235 100000\n98770 100000\n67804 100000\n75876 100000\n52922 79273\n64756 97126\n78172 100000\n14450 21737\n7185 10831\n63441 95131\n1364 2040\n6864 10370\n62291 93420\n58695 87969\n56225 84247\n77902 100000\n77342 100000\n13471 20271\n29622 44391\n41894 62745\n85177 100000\n55453 83075\n63756 95624\n30954 46378\n8104 12201\n9392 14128\n77329 100000\n44624 66805\n64241 96359\n31944 47857\n51044 76476\n39566 59213\n38644 57837\n41195 61690\n20888 31382\n58201 87231\n35102 52558\n98275 100000\n89759 100000\n26904 40335\n79462 100000\n50965 76358\n70799 100000\n4493 6778\n12723 19149\n7878 11864\n51564 77258\n72060 100000\n30321 45436\n67157 100000\n72257 100000\n79554 100000\n1517 2271\n78518 100000\n73766 100000\n18637 27976\n9591 14419\n65396 98099\n76452 100000\n44614 66790\n46333 69367\n41051 61468\n92028 100000\n35518 53173\n36574 54770\n46312 69338\n70746 100000\n90201 100000\n42037 62951\n85464 100000\n82329 100000\n86584 100000\n96246 100000\n80721 100000\n39490 59102\n63658 95473\n16789 25204\n70579 100000\n48627 72838\n5882 8888\n39459 59058\n65468 98205\n64144 96206\n6170 9313\n22993 34527\n52825 79127\n76277 100000\n90375 100000\n5300 7999\n73611 100000\n50127 75103\n35369 52947\n11443 17237\n27606 41389\n61371 92011\n82561 100000\n95203 100000\n83378 100000\n54250 81270\n63117 94657\n65190 97798\n28139 42196\n47960 71815\n18174 27283\n24287 36445\n96707 100000\n58948 88347\n73407 100000\n54609 81806\n85076 100000\n67435 100000\n73596 100000\n28072 42090\n52061 77974\n37553 56215\n94738 100000\n34550 51748\n97460 100000\n14682 22085\n86233 100000\n40977 61360\n31391 47028\n99788 100000\n41780 62572\n41647 62367\n14590 21943\n85178 100000\n95789 100000\n88076 100000\n92107 100000\n89555 100000\n90062 100000\n82742 100000\n29722 44531\n3208 4852\n48540 72702\n97404 100000\n237 355\n54183 81170\n88328 100000\n31114 46607\n61294 91896\n26830 40223\n90195 100000\n40399 60483\n89731 100000\n19250 28925\n56810 85137\n54220 81226\n16456 24710\n12292 18502\n45009 67385\n61919 92848\n52541 78709\n71416 100000\n19475 29265\n12361 18607\n98036 100000\n46583 69753\n317 475\n62107 93138\n80198 100000\n3108 4704\n82158 100000\n395 597\n54680 81916\n69795 100000\n45916 68741\n82106 100000\n50476 75618\n52592 78781\n15057 22651\n76307 100000\n35740 53500\n53929 80787\n32439 48579\n17792 26710\n66028 99037\n44600 66765\n75016 100000\n95371 100000\n94717 100000\n54105 81060\n67908 100000\n35527 53188\n649 968\n42369 63458\n51178 76681\n66024 99032\n51673 77411\n25955 38941\n79227 100000\n48505 72646\n19936 29957\n25744 38622\n4077 6153\n26694 40028\n35860 53680\n27381 41057\n13867 20861\n78509 100000\n18420 27649\n10948 16487\n2230 3373\n5748 8667\n63712 95556\n88104 100000\n43232 64734\n35014 52426\n64466 96690\n81064 100000\n25796 38706\n42604 63798\n81176 100000\n81259 100000\n93928 100000\n11542 17384\n49127 73600\n32451 48598\n98301 100000\n44406 66475\n42096 63042\n64865 97298\n83276 100000\n98821 100000\n83406 100000\n41394 61987\n24766 37156\n93807 100000\n1499 2243\n325 487\n52163 78122\n25064 37604\n78341 100000\n19362 29097\n42407 63511\n54450 81569\n30565 45806\n33443 50103\n71366 100000\n98329 100000\n53546 80203\n17172 25777\n49115 73580\n69666 100000\n52129 78075\n67458 100000\n43129 64579\n39191 58667\n86480 100000\n81594 100000\n24926 37389\n90292 100000\n61664 92459\n57656 86413\n52585 78771\n84365 100000\n90084 100000\n985 1476\n44780 67050\n80504 100000\n6161 9302\n96033 100000\n47504 71128\n31774 47601\n69247 100000\n38485 57617\n12490 18803\n56939 85325\n26160 39248\n70885 100000\n97862 100000\n66057 99080\n87453 100000\n96289 100000\n22076 33157\n38234 57235\n91567 100000\n92768 100000\n63014 94502\n37652 56360\n32514 48691\n46438 69524\n98807 100000\n69400 100000\n97947 100000\n90902 100000\n28501 42730\n57888 86761\n4843 7313\n30650 45937\n17770 26680\n42470 63605\n84829 100000\n88931 100000\n95005 100000\n8973 13497\n41457 62082\n44730 66974\n6255 9434\n38061 56978\n38359 57430\n22180 33316\n21021 31572\n83732 100000\n44871 67186\n80557 100000\n96646 100000\n92453 100000\n40058 59976\n11780 17741\n26011 39019\n3727 5611\n18497 27768\n57438 86077\n93195 100000\n13750 20685\n74760 100000\n62193 93267\n9914 14916\n33956 50871\n37935 56785\n1936 2926\n35545 53220\n14734 22164\n85655 100000\n46174 69122\n22800 34236\n15582 23420\n61994 92970\n28195 42280\n63156 94713\n23410 35140\n32561 48765\n44709 66943\n43517 65152\n69198 100000\n57475 86131\n33855 50718\n21614 32464\n28030 42025\n95447 100000\n41288 61828\n19051 28613\n35402 52998\n65723 98580\n81348 100000\n62860 94281\n86510 100000\n43723 65458\n30482 45677\n63592 95371\n97601 100000\n95357 100000\n87128 100000\n60127 90142\n38875 58193\n26868 40281\n73759 100000\n8537 12842\n35576 53269\n11464 17268\n58513 87698\n95864 100000\n81135 100000\n45704 68421\n30694 46002\n82696 100000\n31521 47220\n65796 98693\n83009 100000\n81418 100000\n46020 68891\n91400 100000\n71069 100000\n89168 100000\n28382 42554\n76668 100000\n82003 100000\n36901 55250\n77699 100000\n26772 40139\n33706 50499\n16049 24100\n46244 69236\n56449 84582\n26626 39926\n81037 100000\n50695 75957\n87075 100000\n7678 11564\n80091 100000\n91924 100000\n58299 87383\n66535 99802\n91230 100000\n70284 100000\n49250 73781\n25483 38229\n12758 19202\n2170 3280\n64823 97236\n11887 17895\n35417 53019\n58370 87483\n52595 78784\n11108 16733\n9696 14579\n29645 44419\n59997 89953\n9907 14905\n74460 100000\n34844 52177\n34676 51928\n36658 54900\n58205 87239\n99094 100000\n98671 100000\n4680 7069\n26576 39856\n17368 26075\n70491 100000\n9345 14055\n74176 100000\n67121 100000\n542 810\n46665 69870\n20409 30667\n95059 100000\n96467 100000\n56371 84462\n22637 33994\n35419 53023\n58645 87889\n16126 24217\n7826 11786\n64584 96870\n86282 100000\n15388 23139\n35824 53624\n64752 97121\n81842 100000\n11064 16666\n13946 20979\n60937 91350\n84625 100000\n20105 30204\n33230 49782\n17526 26315\n69552 100000\n34368 51491\n99986 100000\n86125 100000\n80526 100000\n16333 24525\n6326 9545\n52479 78611\n35969 53845\n54305 81352\n65834 98748\n49221 73740\n68547 100000\n6091 9191\n26347 39524\n33843 50701\n73760 100000\n766 1144\n93967 100000\n63176 94742\n72175 100000\n71465 100000\n3992 6017\n3072 4653\n79434 100000\n66656 99984\n14458 21748\n37119 55573\n97290 100000\n76685 100000\n79481 100000\n87476 100000\n15934 23935\n24770 37162\n85797 100000\n31919 47822\n7231 10901\n38970 58333\n78366 100000\n54383 81467\n52208 78195\n8296 12490\n98307 100000\n35723 53477\n73423 100000\n57296 85863\n44460 66555\n50100 75065\n7174 10814\n42469 63604\n49210 73724\n13489 20297\n35034 52456\n86293 100000\n75841 100000\n63959 95929\n15071 22670\n49194 73701\n9014 13554\n75340 100000\n49812 74635\n22672 34045\n36216 54223\n36689 54942\n18180 27292\n20690 31085\n12060 18148\n59329 88935\n2502 3790\n74614 100000\n17374 26083\n16622 24949\n59435 89108\n67760 100000\n22468 33749\n26741 40093\n94601 100000\n7107 10714\n8680 13059\n32362 48470\n32119 48109\n63709 95551\n55950 83827\n79170 100000\n63990 95972\n72183 100000\n89491 100000\n21231 31885\n23724 35614\n64 92\n77350 100000\n67192 100000\n59026 88468\n62846 94257\n89965 100000\n20273 30459\n61673 92474\n61209 91769\n4762 7192\n26520 39774\n25786 38689\n89033 100000\n63682 95513\n97651 100000\n37606 56296\n10630 15997\n93222 100000\n69918 100000\n68808 100000\n40124 60072\n85711 100000\n8078 12165\n28797 43163\n80386 100000\n824 1233\n4869 7357\n74171 100000\n46297 69318\n16184 24309\n98691 100000\n12756 19198\n28760 43111\n71203 100000\n38776 58034\n69248 100000\n58697 87972\n76814 100000\n32079 48053\n60116 90127\n99841 100000\n99472 100000\n45113 67542\n34900 52261\n14278 21486\n7204 10860\n8198 12338\n89820 100000\n17492 26263\n19406 29165\n10387 15629\n55477 83109\n54019 80923\n83704 100000\n96182 100000\n30940 46358\n61703 92518\n92139 100000\n25036 37559\n88299 100000\n87589 100000\n13959 21001\n84184 100000\n52980 79355\n76852 100000\n43413 65002\n72883 100000\n47106 70524\n82937 100000\n2597 3936\n12725 19152\n49721 74498\n45091 67510\n2960 4484\n84838 100000\n37183 55671\n77115 100000\n54767 82049\n55047 82453\n19939 29961\n41891 62741\n73290 100000\n8042 12112\n68118 100000\n25959 38946\n48797 73104\n33432 50088\n20285 30474\n35103 52560\n74908 100000\n94349 100000\n75465 100000\n15693 23581\n88566 100000\n23862 35807\n41209 61711\n37560 56227\n10333 15548\n15645 23510\n64100 96140\n14999 22568\n52551 78723\n65363 98054\n53638 80340\n16920 25402\n24252 36390\n46548 69699\n60774 91121\n40187 60168\n93776 100000\n669 999\n87772 100000\n16593 24911\n68734 100000\n23438 35184\n45043 67433\n39832 59625\n35625 53336\n1356 2028\n37222 55727\n91343 100000\n31991 47929\n32150 48155\n58834 88182\n66100 99148\n60095 90099\n22163 33291\n69829 100000\n6725 10157\n50927 76301\n91448 100000\n91294 100000\n78144 100000\n82922 100000\n53127 79577\n74874 100000\n73973 100000\n93274 100000\n60229 90294\n7003 10576\n28228 42331\n40998 61392\n27960 41913\n4754 7182\n95970 100000\n20269 30454\n63482 95199\n40992 61384\n31274 46857\n47626 71308\n31307 46902\n5954 8999\n13858 20848\n62937 94392\n97619 100000\n7582 11425\n18228 27367\n52659 78875\n1658 2485\n61455 92138\n13732 20660\n38232 57232\n84583 100000\n4975 7514\n8721 13118\n60816 91178\n12314 18535\n27819 41707\n15805 23748\n4773 7210\n60524 90746\n75038 100000\n31294 46885\n23974 35977\n59548 89277\n95327 100000\n81293 100000\n87256 100000\n88956 100000\n14501 21811\n92468 100000\n49632 74361\n29597 44355\n89367 100000\n22515 33818\n38025 56923\n4484 6764\n17991 27009\n77689 100000\n92706 100000\n12849 19340\n93488 100000\n9414 14156\n99792 100000\n99556 100000\n21657 32527\n96031 100000\n88139 100000\n19594 29440\n32625 48866\n66514 99770\n13631 20517\n81913 100000\n84605 100000\n36920 55277\n72238 100000\n96561 100000\n43114 64558\n32507 48681\n54896 82235\n67879 100000\n56182 84182\n6696 10111\n51804 77606\n57411 86036\n8072 12155\n42162 63139\n25576 38368\n6138 9266\n46451 69544\n17907 26885\n77819 100000\n89419 100000\n69702 100000\n99079 100000\n37911 56750\n29325 43945\n95705 100000\n65871 98807\n99452 100000\n96100 100000\n99202 100000\n29192 43742\n55755 83532\n3735 5623\n12431 18713\n2276 3443\n67919 100000\n88128 100000\n95445 100000\n44902 67231\n43965 65805\n74236 100000\n97075 100000\n22486 33776\n55345 82912\n45902 68720\n34037 50994\n94070 100000\n33094 49576\n92275 100000\n99314 100000\n5736 8649\n786 1177\n59259 88827\n61913 92839\n69750 100000\n44508 66625\n4321 6519\n28193 42278\n70050 100000\n63996 95980\n84327 100000\n82196 100000\n57355 85950\n78197 100000\n26253 39387\n40033 59933\n67487 100000\n81787 100000\n8866 13336\n75991 100000\n47364 70924\n92414 100000\n96794 100000\n56452 84586\n68791 100000\n31080 46557\n97106 100000\n86621 100000\n91191 100000\n7534 11356\n23848 35788\n75703 100000\n62419 93612\n92445 100000\n50173 75171\n81441 100000\n45160 67611\n45847 68640\n13818 20783\n23312 34995\n62003 92985\n36319 54381\n11705 17626\n65204 97820\n59324 88928\n86211 100000\n7420 11177\n11407 17185\n40925 61284\n14854 22346\n96251 100000\n68461 100000\n68502 100000\n43619 65303\n47579 71239\n25048 37580\n84864 100000\n10760 16201\n45712 68432\n63963 95934\n21171 31800\n31606 47350\n99740 100000\n92512 100000\n35780 53560\n94468 100000\n61821 92695\n27306 40936\n76045 100000\n76183 100000\n32727 49024\n46783 70042\n41432 62045\n65266 97914\n19502 29304\n86582 100000\n65651 98470\n49800 74616\n28381 42552\n5520 8331\n76677 100000\n76255 100000\n86766 100000\n41503 62150\n29663 44444\n54424 81529\n63434 95122\n31445 47105\n53876 80703\n1233 1849\n65437 98162\n61811 92681\n80356 100000\n6702 10123\n21322 32014\n78082 100000\n29951 44870\n44089 65987\n13125 19754\n64425 96633\n92912 100000\n1124 1686\n43475 65091\n24325 36506\n68511 100000\n55427 83038\n81205 100000\n61273 91866\n23821 35751\n68746 100000\n90683 100000\n76008 100000\n93791 100000\n7753 11678\n73239 100000\n58752 88060\n41408 62009\n48848 73179\n88649 100000\n72975 100000\n75096 100000\n97361 100000\n85960 100000\n2012 3034\n61513 92232\n73349 100000\n74462 100000\n45651 68345\n43270 64794\n65874 98810\n3006 4555\n32649 48902\n71439 100000\n71710 100000\n79795 100000\n34826 52154\n8476 12747\n73188 100000\n15940 23946\n73182 100000\n94596 100000\n88885 100000\n66308 99458\n72054 100000\n66859 100000\n82131 100000\n31111 46603\n62710 94054\n69445 100000\n36024 53932\n48593 72785\n53933 80793\n26762 40123\n84462 100000\n29575 44321\n21012 31559\n58382 87504\n68980 100000\n36571 54766\n80995 100000\n5196 7844\n5957 9004\n23978 35984\n47802 71572\n28307 42442\n81800 100000\n79940 100000\n22600 33943\n62023 93015\n67257 100000\n98834 100000\n8867 13337\n73455 100000\n31008 46456\n98111 100000\n33448 50109\n46028 68905\n17803 26726\n30390 45541\n76179 100000\n57707 86493\n12636 19025\n9628 14476\n92692 100000\n85944 100000\n39380 58945\n73754 100000\n3265 4936\n14426 21704\n74725 100000\n64777 97161\n76196 100000\n77726 100000\n57919 86813\n13941 20971\n63765 95639\n95505 100000\n27261 40867\n39711 59430\n22277 33469\n21863 32835\n92640 100000\n22186 33326\n82571 100000\n68874 100000\n90307 100000\n79632 100000\n47716 71438\n52643 78852\n64713 97064\n11465 17269\n5414 8171\n50358 75449\n66340 99510\n26615 39908\n18278 27442\n30312 45423\n42219 63228\n98471 100000\n74382 100000\n69642 100000\n1609 2408\n60656 90945\n95756 100000\n56831 85169\n13279 19992\n33526 50228\n32863 49232\n82902 100000\n14762 22206\n25157 37738\n28585 42860\n3854 5808\n90128 100000\n47662 71360\n84643 100000\n26274 39419\n99453 100000\n6823 10307\n34019 50967\n97942 100000\n58782 88106\n83837 100000\n85991 100000\n60733 91062\n93910 100000\n60222 90285\n68206 100000\n25194 37794\n99938 100000\n99210 100000\n29903 44805\n15957 23967\n74701 100000\n43310 64852\n9956 14975\n79464 100000\n21018 31567\n64166 96241\n50761 76055\n29827 44692\n3964 5971\n50639 75869\n7539 11364\n55198 82688\n83441 100000\n20286 30476\n52691 78920\n14135 21277\n67084 100000\n9823 14778\n10464 15745\n16292 24470\n62653 93965\n18551 27851\n68003 100000\n29670 44454\n26435 39655\n48538 72699\n77816 100000\n84186 100000\n2271 3436\n43253 64770\n30059 45038\n68857 100000\n21439 32200\n38740 57976\n81902 100000\n31570 47290\n21773 32698\n60341 90464\n68494 100000\n78723 100000\n24387 36602\n47358 70914\n90896 100000\n18671 28028\n42372 63463\n7546 11374\n86437 100000\n51194 76707\n83721 100000\n8099 12195\n36667 54914\n34977 52373\n3935 5930\n70461 100000\n98256 100000\n95031 100000\n47962 71818\n34256 51324\n88169 100000\n96691 100000\n85439 100000\n20430 30700\n37778 56556\n5578 8412\n76456 100000\n94528 100000\n34174 51206\n9107 13688\n46366 69419\n46071 68968\n95925 100000\n34786 52098\n78695 100000\n64944 97420\n90034 100000\n87561 100000\n39254 58758\n30803 46160\n98779 100000\n14342 21582\n24773 37166\n44819 67105\n40161 60130\n21203 31845\n91227 100000\n51369 76968\n1754 2635\n46324 69356\n25987 38982\n67936 100000\n48603 72801\n95568 100000\n41250 61775\n18728 28110\n65900 98853\n88360 100000\n21405 32147\n69478 100000\n90077 100000\n40650 60864\n76678 100000\n80584 100000\n41006 61403\n8463 12731\n9147 13754\n87605 100000\n75899 100000\n75280 100000\n5431 8195\n69998 100000\n39503 59119\n94053 100000\n1208 1807\n79275 100000\n35603 53304\n31942 47853\n33685 50469\n98745 100000\n45581 68241\n46532 69675\n46631 69821\n72026 100000\n97546 100000\n80454 100000\n69356 100000\n8559 12875\n26272 39417\n72178 100000\n22816 34261\n76726 100000\n1920 2902\n53 76\n25630 38449\n39686 59393\n28646 42948\n61862 92760\n98198 100000\n41781 62574\n24526 36805\n37813 56608\n27622 41412\n15140 22769\n43395 64975\n35084 52529\n11879 17883\n61607 92376\n24759 37147\n87017 100000\n91769 100000\n86259 100000\n99659 100000\n74769 100000\n13334 20069\n16553 24858\n79936 100000\n29170 43717\n78500 100000\n21249 31915\n28120 42170\n76000 100000\n87317 100000\n2069 3126\n28065 42081\n42985 64368\n68359 100000\n74124 100000\n86178 100000\n82218 100000\n54582 81766\n59593 89347\n72600 100000\n8304 12500\n86208 100000\n76319 100000\n26284 39435\n76574 100000\n74187 100000\n14239 21428\n87948 100000\n43688 65400\n25471 38214\n34597 51816\n98018 100000\n64226 96337\n38989 58364\n95717 100000\n73369 100000\n93261 100000\n29298 43907\n83412 100000\n22666 34037\n77555 100000\n20618 30974\n35691 53431\n14237 21426\n80833 100000\n96018 100000\n81121 100000\n78984 100000\n23434 35177\n53698 80430\n75301 100000\n57162 85659\n36077 54011\n34169 51199\n95446 100000\n40365 60434\n59173 88690\n78220 100000\n31839 47697\n64749 97115\n81367 100000\n24605 36924\n45608 68280\n43788 65550\n63548 95303\n48971 73362\n41220 61729\n60851 91228\n94295 100000\n75162 100000\n48616 72822\n93458 100000\n17401 26126\n65476 98215\n66271 99400\n66054 99074\n78322 100000\n69122 100000\n4279 6461\n65549 98323\n74432 100000\n40235 60236\n19128 28735\n72917 100000\n36126 54085\n38995 58375\n62279 93401\n42944 64303\n71049 100000\n71625 100000\n46935 70259\n59148 88653\n22065 33138\n28094 42128\n32276 48345\n32829 49183\n57431 86067\n7654 11531\n56610 84835\n92027 100000\n322 481\n10999 16559\n97993 100000\n78039 100000\n62766 94138\n33387 50020\n18821 28259\n7926 11938\n97768 100000\n37984 56859\n66342 99513\n21661 32533\n54268 81299\n56815 85143\n15660 23532\n97227 100000\n61813 92684\n35918 53766\n26118 39182\n98600 100000\n57283 85843\n78560 100000\n80647 100000\n56414 84530\n23918 35891\n41958 62836\n21834 32793\n59352 88972\n50555 75745\n20736 31160\n95775 100000\n89794 100000\n23233 34880\n69423 100000\n78885 100000\n94699 100000\n70553 100000\n74965 100000\n31184 46721\n16859 25311\n21025 31578\n23866 35814\n94291 100000\n32342 48441\n7913 11918\n22293 33492\n9800 14739\n59573 89316\n18670 28027\n45576 68233\n40165 60136\n29252 43832\n9730 14630\n14991 22555\n91735 100000\n35850 53665\n61669 92467\n11989 18040\n4805 7257\n43929 65752\n71506 100000\n72428 100000\n24612 36936\n43380 64954\n53066 79490\n1214 1815\n4842 7311\n96171 100000\n88002 100000\n51838 77656\n99358 100000\n92509 100000\n48406 72502\n67906 100000\n41718 62478\n44299 66312\n26076 39118\n48859 73197\n99994 100000\n80775 100000\n10762 16204\n879 1307\n30554 45787\n52746 79005\n29780 44619\n51139 76619\n90028 100000\n2432 3691\n72253 100000\n68958 100000\n17458 26212\n36606 54817\n24668 37017\n53486 80113\n73356 100000\n82892 100000\n46038 68919\n10275 15464\n51843 77664\n88573 100000\n5804 8763\n46322 69352\n45560 68206\n3595 5422\n95733 100000\n18977 28502\n98690 100000\n49994 74910\n82956 100000\n82285 100000\n80836 100000\n56940 85327\n70062 100000\n84895 100000\n47620 71299\n32171 48187\n43892 65703\n70775 100000\n10811 16280\n24588 36899\n55826 83637\n27646 41449\n55015 82407\n89269 100000\n73059 100000\n22139 33254\n54244 81262\n62382 93549\n66493 99739\n59162 88676\n90162 100000\n10460 15739\n68967 100000\n80613 100000\n97488 100000\n66384 99566\n89140 100000\n57929 86828\n34054 51020\n45627 68309\n90903 100000\n94220 100000\n32051 48009\n67756 100000\n29835 44704\n87398 100000\n40790 61072\n40337 60388\n50928 76303\n64377 96560\n21411 32155\n83273 100000\n93723 100000\n44835 67129\n42877 64203\n38207 57195\n89447 100000\n53517 80157\n82837 100000\n81734 100000\n49780 74585\n1397 2087\n14672 22070\n78711 100000\n49642 74378\n61398 92053\n96343 100000\n59831 89705\n36149 54120\n70120 100000\n46545 69695\n23198 34829\n30916 46319\n54352 81423\n41925 62788\n58871 88237\n94064 100000\n37957 56820\n4121 6218\n67889 100000\n8178 12307\n73585 100000\n27329 40973\n20602 30952\n39959 59820\n26161 39249\n96036 100000\n49367 73964\n74376 100000\n77919 100000\n69207 100000\n94971 100000\n29385 44032\n31077 46553\n61815 92687\n96996 100000\n79465 100000\n58234 87278\n44627 66810\n50589 75795\n8583 12915\n67042 100000\n21981 33009\n6168 9310\n61394 92046\n80236 100000\n94782 100000\n74577 100000\n17632 26476\n20196 30345\n46790 70050\n67164 100000\n30953 46377\n79074 100000\n63341 94989\n91098 100000\n26907 40340\n70092 100000\n6405 9660\n33171 49688\n73677 100000\n54717 81968\n77341 100000\n18727 28109\n40669 60893\n48969 73359\n78447 100000\n21699 32589\n62078 93092\n5235 7901\n65677 98508\n80858 100000\n89660 100000\n92999 100000\n60939 91354\n57003 85428\n83069 100000\n61778 92636\n42538 63704\n41562 62241\n20114 30218\n25938 38915\n22199 33348\n83231 100000\n84585 100000\n24657 36998\n59762 89609\n28407 42591\n11973 18014\n25128 37697\n13375 20136\n69399 100000\n5569 8399\n52702 78935\n4135 6239\n59123 88616\n13181 19841\n17878 26841\n52959 79323\n57426 86061\n43768 65526\n44138 66067\n54196 81190\n58242 87291\n8928 13425\n84680 100000\n63155 94712\n69676 100000\n40234 60235\n50118 75091\n24658 37000\n74084 100000\n62111 93146\n39418 59003\n46618 69802\n73563 100000\n19000 28534\n80663 100000\n54748 82019\n82358 100000\n17840 26785\n88341 100000\n76431 100000\n5427 8190\n33334 49937\n51320 76891\n10651 16028\n85005 100000\n47356 70910\n6569 9914\n34391 51525\n15039 22625\n90828 100000\n24910 37369\n31777 47606\n69950 100000\n35769 53542\n52637 78843\n67286 100000\n77407 100000\n94395 100000\n9090 13659\n38298 57332\n13142 19781\n37780 56559\n73683 100000\n90252 100000\n45668 68370\n43555 65207\n10389 15632\n68552 100000\n83813 100000\n46761 70011\n59321 88923\n70901 100000\n72974 100000\n36927 55287\n64059 96078\n51170 76668\n80861 100000\n40670 60895\n80211 100000\n16796 25217\n50942 76326\n59972 89916\n86592 100000\n40023 59918\n11960 17997\n4311 6506\n34545 51742\n67457 100000\n19778 29706\n67534 100000\n14839 22324\n71983 100000\n27699 41525\n36129 54090\n21756 32672\n20706 31109\n75634 100000\n32028 47978\n13420 20201\n42481 63620\n91310 100000\n22973 34495\n30362 45493\n6905 10432\n9180 13806\n177 260\n60700 91008\n70949 100000\n82903 100000\n81961 100000\n98680 100000\n5511 8318\n74914 100000\n25349 38026\n6284 9477\n5653 8523\n65546 98318\n78962 100000\n92961 100000\n58499 87675\n30007 44957\n58633 87873\n10320 15529\n26349 39527\n83815 100000\n84735 100000\n97209 100000\n63198 94773\n5047 7618\n39224 58714\n39813 59595\n37123 55580\n87631 100000\n34122 51124\n86528 100000\n10919 16445\n52992 79374\n85669 100000\n57419 86050\n12962 19514\n89430 100000\n40075 59998\n4915 7423\n65941 98914\n41366 61942\n13954 20993\n4657 7035\n55506 83155\n95111 100000\n21964 32989\n90462 100000\n99105 100000\n91210 100000\n70196 100000\n24479 36740\n63856 95782\n16974 25479\n42466 63599\n64922 97388\n37103 55549\n23745 35643\n63979 95956\n11372 17133\n39223 58713\n39335 58876\n28969 43425\n92401 100000\n93185 100000\n87758 100000\n83681 100000\n93356 100000\n76071 100000\n82156 100000\n2975 4508\n40163 60132\n55880 83722\n40564 60735\n70353 100000\n54787 82077\n93813 100000\n72211 100000\n75664 100000\n1156 1733\n44675 66889\n19251 28926\n30280 45375\n4752 7178\n24660 37004\n63076 94593\n66627 99941\n27771 41633\n3233 4891\n19622 29484\n1317 1968\n36386 54485\n95298 100000\n64382 96568\n37324 55880\n48537 72697\n46169 69115\n87456 100000\n49264 73802\n71351 100000\n71708 100000\n14443 21727\n16944 25436\n41743 62513\n57203 85717\n53931 80790\n13662 20562\n65107 97666\n60289 90386\n62602 93886\n5975 9031\n84088 100000\n80826 100000\n25711 38573\n54467 81595\n51961 77829\n96865 100000\n55228 82730\n75546 100000\n91835 100000\n45304 67820\n79285 100000\n10497 15792\n44647 66841\n20986 31524\n85280 100000\n70697 100000\n3640 5488\n87218 100000\n89102 100000\n68442 100000\n48356 72422\n23058 34624\n67987 100000\n75941 100000\n4689 7081\n95495 100000\n69602 100000\n86180 100000\n31152 46668\n83655 100000\n41893 62744\n94597 100000\n26208 39318\n63010 94497\n15175 22824\n38647 57842\n45867 68670\n80578 100000\n78637 100000\n8454 12717\n95140 100000\n78038 100000\n69536 100000\n48266 72284\n17479 26243\n54436 81548\n30804 46161\n42567 63746\n78635 100000\n51747 77519\n30576 45822\n68653 100000\n19208 28860\n96842 100000\n48000 71880\n83710 100000\n71633 100000\n42045 62964\n76467 100000\n18833 28278\n42659 63879\n47967 71826\n96214 100000\n99163 100000\n53557 80219\n24000 36016\n55272 82795\n64893 97344\n64013 96007\n27870 41780\n70739 100000\n12560 18910\n80145 100000\n45718 68440\n67569 100000\n39386 58952\n61034 91501\n54242 81259\n36042 53958\n23494 35267\n98072 100000\n69477 100000\n79210 100000\n48942 73316\n80690 100000\n7261 10943\n96393 100000\n12759 19204\n32260 48321\n60680 90981\n88621 100000\n85957 100000\n17910 26888\n3555 5364\n37677 56398\n16572 24884\n23604 35435\n69986 100000\n30873 46261\n67975 100000\n13351 20099\n55652 83377\n84041 100000\n43233 64736\n45966 68817\n67405 100000\n83904 100000\n78279 100000\n56972 85378\n49235 73762\n64947 97425\n97262 100000\n13325 20057\n70916 100000\n34570 51776\n80357 100000\n39047 58453\n42221 63231\n92813 100000\n24456 36708\n42923 64274\n98675 100000\n21246 31909\n51892 77729\n14136 21278\n85011 100000\n71964 100000\n97039 100000\n76337 100000\n41095 61535\n21190 31826\n55530 83190\n36993 55383\n8953 13465\n87973 100000\n63119 94661\n91473 100000\n33203 49743\n54855 82174\n6651 10036\n79043 100000\n40070 59992\n32929 49336\n264 394\n15615 23466\n80315 100000\n50255 75292\n12397 18660\n23916 35887\n12554 18900\n27456 41168\n38332 57388\n11954 17987\n83232 100000\n55552 83225\n41878 62725\n92505 100000\n35165 52644\n44659 66861\n83487 100000\n29025 43505\n25551 38328\n93755 100000\n56467 84610\n39381 58946\n90928 100000\n5826 8795\n70375 100000\n45401 67966\n83118 100000\n77202 100000\n62447 93659\n16565 24874\n57208 85725\n38046 56954\n72590 100000\n16095 24169\n85072 100000\n94641 100000\n78725 100000\n74153 100000\n63546 95300\n15849 23810\n18154 27257\n98279 100000\n2393 3627\n53692 80423\n34684 51938\n10825 16304\n77576 100000\n74904 100000\n91530 100000\n3947 5947\n49204 73714\n23430 35171\n62329 93471\n62810 94201\n30260 45342\n52336 78393\n2388 3619\n46120 69042\n34487 51662\n63825 95734\n95624 100000\n71655 100000\n22709 34105\n12924 19455\n21055 31624\n57899 86779\n36238 54259\n3345 5059\n95640 100000\n77337 100000\n14437 21720\n23708 35589\n41895 62746\n72614 100000\n39147 58600\n19950 29974\n42412 63518\n69778 100000\n9296 13982\n57616 86357\n15443 23217\n95502 100000\n73587 100000\n53897 80736\n46605 69785\n54705 81952\n64719 97073\n30523 45738\n61816 92688\n63750 95615\n29577 44324\n44435 66516\n55878 83719\n76106 100000\n70537 100000\n27084 40603\n92852 100000\n89138 100000\n13908 20924\n4988 7532\n40293 60319\n47107 70525\n77058 100000\n6981 10543\n23652 35501\n14844 22331\n60760 91101\n81424 100000\n1536 2298\n93149 100000\n40849 61161\n44865 67176\n7294 10987\n88159 100000\n98174 100000\n79044 100000\n11635 17522\n55712 83465\n81125 100000\n10184 15324\n22458 33734\n93976 100000\n69519 100000\n62158 93217\n24165 36265\n61284 91883\n51417 77040\n67417 100000\n67583 100000\n11616 17491\n44765 67026\n71472 100000\n30037 45004\n82420 100000\n65935 98907\n94542 100000\n99374 100000\n55914 83769\n66872 100000\n75144 100000\n72766 100000\n48951 73328\n40031 59929\n30330 45452\n53610 80301\n36884 55225\n30053 45028\n40247 60254\n18472 27729\n83387 100000\n52306 78347\n38250 57261\n35903 53747\n64421 96627\n48397 72486\n33438 50097\n67034 100000\n62792 94175\n17775 26687\n71111 100000\n2134 3225\n79477 100000\n97453 100000\n10002 15047\n44244 66231\n26386 39582\n61094 91596\n78788 100000\n81074 100000\n65032 97553\n8088 12179\n41550 62222\n57112 85583\n92303 100000\n88881 100000\n10724 16143\n89349 100000\n81366 100000\n2650 4016\n63806 95704\n55727 83492\n81745 100000\n39952 59809\n4445 6710\n34699 51962\n8397 12635\n43702 65422\n73078 100000\n1235 1851\n10940 16475\n53687 80417\n87568 100000\n71497 100000\n32411 48537\n4638 7006\n99630 100000\n45512 68137\n4990 7536\n11365 17122\n15778 23709\n96428 100000\n46388 69449\n81935 100000\n95466 100000\n13916 20935\n59621 89388\n93493 100000\n31549 47260\n18457 27708\n4865 7350\n53582 80256\n93964 100000\n9942 14955\n49526 74209\n23577 35393\n62659 93973\n7676 11562\n5548 8370\n68593 100000\n96562 100000\n19558 29381\n20742 31167\n40967 61345\n92357 100000\n98316 100000\n10861 16350\n55985 83878\n76186 100000\n10854 16341\n85277 100000\n12722 19148\n68892 100000\n65558 98336\n45457 68052\n68485 100000\n95361 100000\n50891 76243\n90008 100000\n85043 100000\n11358 17112\n44631 66816\n86977 100000\n19043 28601\n84050 100000\n55655 83381\n77228 100000\n6586 9941\n32888 49275\n98030 100000\n2201 3329\n12067 18159\n38265 57283\n10795 16254\n53411 80002\n91541 100000\n93873 100000\n22679 34057\n27633 41428\n17727 26619\n91065 100000\n73056 100000\n20438 30713\n14319 21551\n94608 100000\n30846 46220\n88424 100000\n47643 71334\n64890 97339\n53980 80865\n91406 100000\n90129 100000\n50895 76251\n27586 41362\n299 445\n38598 57775\n46495 69614\n3432 5182\n49247 73777\n84232 100000\n1614 2417\n33518 50216\n9563 14380\n8568 12891\n62001 92982\n19728 29634\n17498 26271\n51503 77173\n62251 93357\n8715 13106\n56232 84255\n61137 91660\n69632 100000\n37725 56471\n70701 100000\n88004 100000\n68635 100000\n94555 100000\n52401 78486\n63488 95208\n90860 100000\n14062 21165\n72409 100000\n11327 17072\n94941 100000\n30810 46169\n2503 3791\n10341 15560\n35373 52953\n99369 100000\n75315 100000\n10488 15777\n68288 100000\n82150 100000\n69179 100000\n77441 100000\n45271 67775\n78244 100000\n12627 19011\n62470 93694\n63708 95549\n35240 52756\n47200 70670\n58407 87542\n43658 65359\n21571 32395\n82133 100000\n76272 100000\n35538 53207\n46182 69136\n13085 19693\n18902 28388\n82954 100000\n70679 100000\n83463 100000\n25089 37642\n86028 100000\n41119 61570\n32089 48068\n48880 73230\n61924 92856\n6075 9170\n13651 20546\n4825 7288\n99050 100000\n31313 46912\n58728 88020\n53688 80419\n58616 87845\n65580 98366\n80509 100000\n15131 22754\n64697 97039\n9575 14397\n366 553\n81853 100000\n17825 26761\n54673 81906\n31095 46579\n86746 100000\n54658 81881\n33573 50294\n40874 61202\n86029 100000\n37594 56276\n96443 100000\n96067 100000\n90438 100000\n31160 46681\n28152 42217\n92736 100000\n16343 24541\n16927 25413\n68632 100000\n15663 23536\n52249 78256\n25162 37743\n37685 56412\n79513 100000\n62172 93237\n79417 100000\n50197 75206\n54602 81796\n19998 30047\n35570 53259\n67416 100000\n90764 100000\n31843 47701\n69638 100000\n39613 59281\n2845 4303\n58658 87910\n34181 51215\n79167 100000\n3320 5020\n99290 100000\n43469 65082\n55871 83708\n8483 12759\n3138 4751\n20048 30118\n60843 91218\n83220 100000\n62058 93063\n57060 85511\n84135 100000\n46117 69037\n44820 67106\n25093 37648\n65058 97592\n1129 1693\n27157 40711\n48154 72108\n84765 100000\n48929 73298\n62722 94075\n18981 28509\n69861 100000\n67106 100000\n5182 7824\n38278 57301\n80317 100000\n20631 30994\n61328 91947\n2619 3970\n46015 68883\n1016 1524\n25427 38147\n32506 48679\n4977 7516\n76121 100000\n21474 32250\n35359 52934\n965 1446\n37235 55750\n28183 42266\n36462 54604\n72494 100000\n3802 5729\n22937 34443\n67983 100000\n81536 100000\n66278 99412\n54592 81780\n46570 69735\n48845 73175\n55220 82717\n30757 46092\n75583 100000\n86871 100000\n48350 72413\n87814 100000\n95549 100000\n75425 100000\n66374 99554\n960 1439\n29394 44047\n29086 43598\n8033 12099\n22387 33628\n58287 87363\n93247 100000\n28902 43324\n36694 54950\n37576 56249\n43853 65645\n69282 100000\n14842 22328\n81053 100000\n97409 100000\n75208 100000\n33520 50219\n41703 62455\n46633 69824\n65951 98928\n95545 100000\n67913 100000\n88157 100000\n85585 100000\n80522 100000\n94937 100000\n42309 63362\n15888 23869\n52706 78942\n87598 100000\n96920 100000\n45721 68446\n51998 77881\n94307 100000\n98847 100000\n32718 49012\n14718 22141\n33176 49697\n1178 1767\n12979 19540\n68428 100000\n22952 34464\n96046 100000\n64912 97372\n90391 100000\n93045 100000\n48303 72340\n14182 21350\n1607 2405\n93224 100000\n85480 100000\n66383 99565\n95972 100000\n11532 17370\n17822 26757\n88904 100000\n87241 100000\n53339 79891\n75512 100000\n19711 29609\n50562 75757\n15706 23602\n56964 85366\n21524 32324\n48099 72027\n85892 100000\n5148 7776\n19099 28692\n82217 100000\n22082 33166\n52981 79356\n553 828\n90279 100000\n26018 39028\n6155 9292\n52158 78113\n2846 4305\n17750 26653\n31235 46802\n31249 46822\n87466 100000\n30760 46096\n92415 100000\n34060 51029\n91978 100000\n25264 37897\n25253 37880\n11582 17443\n84912 100000\n45156 67605\n99212 100000\n13979 21034\n54585 81771\n20678 31067\n47644 71335\n28575 42845\n25675 38519\n36965 55341\n83336 100000\n13962 21007\n72486 100000\n70640 100000\n46082 68988\n99827 100000\n9829 14786\n11297 17025\n56219 84237\n74247 100000\n97425 100000\n810 1214\n79218 100000\n54439 81551\n51214 76733\n93503 100000\n42046 62966\n79293 100000\n29869 44755\n17218 25843\n51848 77670\n81460 100000\n87949 100000\n42282 63322\n53069 79494\n74582 100000\n17088 25647\n48278 72302\n24620 36948\n75577 100000\n22280 33473\n32082 48058\n15216 22880\n9818 14769\n81739 100000\n19064 28633\n41519 62174\n4439 6698\n12499 18817\n94613 100000\n18693 28060\n24783 37179\n71878 100000\n22235 33405\n80838 100000\n81590 100000\n51610 77322\n49648 74386\n483 720\n81701 100000\n81072 100000\n25722 38590\n300 446\n34046 51008\n45001 67376\n72188 100000\n46370 69424\n34898 52257\n36642 54874\n26828 40220\n60611 90874\n83456 100000\n92870 100000\n14886 22396\n29665 44446\n45727 68455\n89321 100000\n5899 8915\n61320 91934\n6510 9825\n76344 100000\n53048 79458\n50526 75698\n32108 48094\n20260 30442\n45946 68785\n40951 61321\n509 758\n38121 57066\n5007 7557\n74154 100000\n52535 78699\n61631 92410\n59693 89499\n34448 51605\n2522 3824\n63338 94984\n34476 51646\n54663 81890\n30246 45323\n27128 40667\n53422 80016\n43158 64623\n53859 80680\n90944 100000\n91026 100000\n59827 89699\n96953 100000\n12526 18857\n94862 100000\n54447 81563\n81039 100000\n36266 54301\n55700 83447\n30267 45355\n56803 85125\n79688 100000\n25078 37626\n85595 100000\n90281 100000\n8918 13410\n91517 100000\n66849 100000\n25323 37984\n24917 37377\n72823 100000\n60227 90291\n11722 17651\n86482 100000\n52849 79161\n29598 44356\n60326 90443\n32681 48950\n29366 44007\n5848 8829\n63446 95139\n45810 68582\n43187 64665\n51307 76873\n55936 83806\n88035 100000\n42661 63883\n63538 95290\n68747 100000\n7081 10677\n54084 81029\n67610 100000\n81687 100000\n90031 100000\n58237 87284\n90674 100000\n90917 100000\n51190 76701\n47966 71824\n50185 75186\n52314 78360\n51200 76715\n66035 99047\n5550 8372\n44601 66767\n47261 70765\n5139 7758\n53475 80098\n20023 30082\n48322 72370\n44312 66331\n75822 100000\n67986 100000\n38051 56962\n30934 46349\n94560 100000\n22605 33951\n73138 100000\n24409 36635\n85153 100000\n80503 100000\n10669 16059\n30494 45697\n59530 89250\n10859 16347\n73502 100000\n86336 100000\n97891 100000\n86624 100000\n24104 36170\n21093 31683\n4176 6305\n59003 88431\n31315 46915\n16124 24215\n84900 100000\n20925 31438\n80679 100000\n47121 70546\n58798 88127\n47124 70550\n30590 45846\n31243 46812\n20718 31128\n14790 22251\n81113 100000\n97799 100000\n57315 85893\n2946 4461\n71797 100000\n92950 100000\n29427 44098\n64077 96109\n93417 100000\n63595 95376\n99308 100000\n61890 92803\n13961 21005\n37789 56573\n16561 24867\n1923 2905\n57668 86431\n6622 9996\n97208 100000\n47360 70917\n50424 75538\n69897 100000\n80666 100000\n83907 100000\n53017 79409\n40675 60900\n75167 100000\n40460 60577\n60291 90390\n43212 64702\n7011 10586\n5900 8916\n39256 58761\n54152 81124\n53032 79431\n60179 90221\n91713 100000\n68431 100000\n33016 49458\n74097 100000\n9629 14477\n17862 26818\n10135 15251\n72280 100000\n84593 100000\n76822 100000\n38871 58188\n77285 100000\n29306 43919\n40694 60927\n64161 96235\n33902 50788\n38454 57569\n8406 12649\n21754 32668\n33082 49557\n5386 8131\n69018 100000\n10419 15679\n27259 40864\n80668 100000\n65232 97862\n59235 88786\n38226 57224\n67059 100000\n12653 19049\n24503 36772\n93907 100000\n4084 6164\n98534 100000\n35711 53460\n76230 100000\n80221 100000\n43696 65413\n1992 3007\n77671 100000\n50442 75564\n45695 68409\n39203 58686\n88570 100000\n5870 8868\n98056 100000\n56704 84975\n27019 40503\n51937 77792\n97426 100000\n93377 100000\n5607 8451\n46767 70019\n59188 88712\n98177 100000\n17070 25620\n21631 32490\n43558 65211\n67011 100000\n10144 15262\n69527 100000\n40439 60546\n2571 3897\n92829 100000\n58558 87760\n73111 100000\n54394 81482\n38014 56905\n35012 52423\n18736 28121\n52 75\n46716 69948\n52290 78319\n70939 100000\n62448 93661\n48691 72937\n71639 100000\n49871 74727\n7337 11052\n16717 25090\n99877 100000\n63988 95968\n35783 53564\n77107 100000\n74585 100000\n36252 54279\n63251 94857\n94659 100000\n18362 27570\n81854 100000\n88097 100000\n15877 23853\n96474 100000\n12211 18378\n34292 51377\n46251 69246\n68756 100000\n71278 100000\n40929 61291\n74932 100000\n79180 100000\n78646 100000\n53878 80706\n41294 61838\n72128 100000\n10892 16401\n33061 49529\n82120 100000\n21779 32709\n90895 100000\n52137 78085\n37216 55718\n3873 5833\n28404 42586\n22615 33966\n16340 24536\n75627 100000\n72792 100000\n76275 100000\n93282 100000\n36401 54508\n14930 22463\n7335 11049\n22698 34085\n65193 97802\n70440 100000\n89784 100000\n67310 100000\n61992 92967\n59185 88708\n63655 95470\n31691 47481\n93601 100000\n31808 47651\n60189 90235\n68402 100000\n40344 60397\n27655 41462\n84587 100000\n39884 59710\n75842 100000\n74235 100000\n91088 100000\n11946 17974\n16632 24962\n76328 100000\n35910 53755\n64679 97011\n55587 83279\n45090 67509\n96669 100000\n65502 98255\n83313 100000\n49968 74872\n8750 13164\n17048 25590\n23499 35275\n64531 96794\n42092 63035\n72854 100000\n9165 13783\n57715 86508\n93423 100000\n56771 85075\n55972 83860\n21445 32208\n49094 73548\n87251 100000\n4336 6545\n66277 99410\n81579 100000\n5552 8374\n47449 71046\n36188 54181\n13960 21003\n85860 100000\n82834 100000\n93431 100000\n94665 100000\n20536 30855\n2789 4216\n6300 9503\n29316 43932\n85546 100000\n29096 43612\n81862 100000\n34889 52246\n94244 100000\n12185 18334\n21825 32780\n3206 4850\n25972 38964\n33328 49928\n87675 100000\n18955 28469\n1806 2723\n3634 5479\n14229 21415\n27459 41173\n24015 36039\n23930 35910\n59082 88551\n54562 81741\n86700 100000\n33703 50493\n2741 4152\n48447 72562\n86627 100000\n22191 33336\n18817 28253\n66798 100000\n13486 20294\n75240 100000\n1783 2686\n52751 79013\n20862 31346\n58191 87217\n76418 100000\n56827 85164\n39664 59357\n6128 9250\n94774 100000\n62651 93962\n45338 67872\n9592 14420\n13027 19609\n21088 31675\n23219 34862\n84642 100000\n97887 100000\n18960 28477\n77157 100000\n78614 100000\n84847 100000\n36489 54647\n39987 59861\n68148 100000\n83826 100000\n85255 100000\n9273 13949\n67245 100000\n11409 17188\n12025 18094\n76855 100000\n92573 100000\n69705 100000\n17387 26104\n10264 15447\n40369 60440\n20954 31480\n10295 15491\n24177 36283\n77386 100000\n98148 100000\n95908 100000\n5767 8701\n105 153\n49781 74587\n39727 59453\n98244 100000\n51151 76639\n42234 63251\n81658 100000\n23714 35600\n30277 45369\n72784 100000\n57237 85766\n46679 69891\n67341 100000\n61069 91556\n91355 100000\n14778 22233\n60848 91224\n6904 10430\n13384 20148\n1278 1913\n35228 52737\n17256 25900\n51314 76881\n29180 43729\n68798 100000\n26578 39859\n53903 80745\n46715 69947\n92802 100000\n10813 16284\n37178 55663\n48295 72327\n37969 56839\n50912 76275\n81192 100000\n43936 65762\n55507 83157\n96999 100000\n99006 100000\n4285 6469\n67629 100000\n9652 14513\n99311 100000\n69427 100000\n27092 40615\n30443 45621\n18217 27351\n24042 36076\n32675 48940\n64007 95997\n61520 92243\n90297 100000\n13535 20366\n33174 49694\n36542 54722\n40264 60279\n72831 100000\n20553 30881\n1592 2385\n18738 28124\n14103 21234\n58005 86939\n9137 13738\n62798 94184\n31717 47519\n67677 100000\n12952 19499\n40281 60303\n93068 100000\n15217 22881\n55157 82623\n15229 22900\n60572 90815\n26697 40032\n80752 100000\n23304 34985\n24957 37436\n84351 100000\n64840 97260\n41693 62441\n39297 58818\n82112 100000\n58108 87095\n65342 98023\n95279 100000\n4578 6912\n63072 94586\n99554 100000\n56312 84372\n63690 95524\n37746 56503\n69272 100000\n58446 87598\n6731 10167\n14914 22436\n61967 92931\n16583 24899\n72104 100000\n24793 37194\n82488 100000\n58206 87241\n33073 49546\n89868 100000\n22546 33864\n54740 82004\n9763 14682\n71681 100000\n13278 19991\n26385 39581\n19854 29826\n70079 100000\n96888 100000\n29218 43783\n62133 93176\n30699 46010\n906 1348\n93075 100000\n66173 99255\n66562 99841\n65735 98599\n65061 97597\n8504 12793\n3823 5759\n57146 85632\n64153 96222\n82735 100000\n90488 100000\n95805 100000\n37335 55896\n80045 100000\n23949 35939\n51258 76800\n62380 93545\n89638 100000\n90526 100000\n18583 27894\n11124 16756\n95022 100000\n53588 80266\n83559 100000\n23879 35833\n71244 100000\n1870 2823\n12649 19043\n84786 100000\n92834 100000\n75779 100000\n60442 90618\n57039 85478\n9044 13592\n68821 100000\n96864 100000\n67727 100000\n2449 3716\n71057 100000\n19705 29599\n27934 41877\n85901 100000\n63807 95706\n91374 100000\n61999 92979\n93940 100000\n5373 8112\n63525 95266\n51284 76841\n54234 81245\n35449 53070\n55531 83192\n22271 33460\n19600 29451\n34175 51207\n1024 1534\n95610 100000\n92684 100000\n96645 100000\n39169 58636\n29166 43712\n30155 45180\n56825 85160\n11320 17062\n44783 67054\n92820 100000\n30978 46413\n1346 2012\n62043 93042\n90561 100000\n83619 100000\n28946 43389\n69499 100000\n75933 100000\n35450 53071\n77598 100000\n74470 100000\n20976 31510\n5910 8933\n45241 67730\n20488 30786\n82101 100000\n48031 71925\n58322 87417\n2380 3609\n66283 99422\n70498 100000\n1736 2606\n97203 100000\n86063 100000\n30442 45620\n70615 100000\n94826 100000\n85483 100000\n8580 12911\n63928 95886\n64481 96713\n12835 19318\n28114 42160\n36652 54889\n22870 34339\n41234 61750\n78335 100000\n3405 5145\n3107 4703\n9207 13849\n4157 6273\n32779 49105\n618 923\n6983 10545\n33166 49680\n88665 100000\n16204 24335\n94724 100000\n51404 77020\n80521 100000\n69540 100000\n65690 98528\n55494 83139\n5822 8789\n71657 100000\n59498 89200\n50560 75753\n40563 60734\n94485 100000\n93200 100000\n50586 75790\n36696 54953\n20554 30883\n84178 100000\n39336 58878\n46275 69286\n5601 8444\n24388 36604\n39783 59541\n44583 66737\n54290 81333\n1918 2900\n90466 100000\n38541 57696\n86643 100000\n63199 94775\n14477 21774\n19402 29158\n93312 100000\n42655 63871\n58267 87333\n19197 28843\n49686 74443\n49083 73528\n26202 39310\n43352 64914\n86517 100000\n55992 83891\n84084 100000\n84028 100000\n42868 64189\n69039 100000\n10420 15680\n18290 27461\n9067 13624\n29403 44060\n21739 32646\n44102 66006\n73526 100000\n9011 13550\n51483 77138\n88599 100000\n57479 86139\n48721 72983\n30298 45405\n21598 32437\n58092 87073\n65971 98953\n14346 21589\n42910 64253\n82942 100000\n39479 59085\n95350 100000\n91444 100000\n81753 100000\n75366 100000\n67050 100000\n97550 100000\n56847 85193\n6832 10321\n92948 100000\n53721 80468\n61812 92683\n80303 100000\n1749 2628\n67813 100000\n46218 69192\n5479 8268\n24779 37174\n58668 87926\n34565 51769\n42566 63745\n42339 63409\n51594 77299\n98230 100000\n71980 100000\n99671 100000\n82234 100000\n42958 64326\n18175 27285\n82581 100000\n49380 73987\n33119 49613\n95335 100000\n52537 78702\n76388 100000\n83400 100000\n65220 97843\n28427 42620\n19259 28938\n54300 81345\n28344 42496\n61493 92200\n43973 65817\n76756 100000\n12637 19027\n98719 100000\n56091 84046\n38914 58247\n78803 100000\n41502 62149\n197 292\n3739 5631\n12968 19523\n20687 31080\n60945 91362\n84629 100000\n65404 98113\n36504 54670\n41382 61967\n8165 12286\n59157 88667\n45074 67482\n38500 57640\n95625 100000\n53532 80180\n24520 36797\n5095 7699\n17768 26677\n5496 8294\n17736 26632\n29486 44183\n5457 8236\n11712 17637\n80701 100000\n17626 26465\n99720 100000\n30809 46167\n94733 100000\n63180 94747\n96227 100000\n36440 54572\n38577 57744\n87723 100000\n86809 100000\n90717 100000\n48014 71898\n61554 92295\n97378 100000\n35719 53471\n42773 64050\n89039 100000\n95015 100000\n81524 100000\n14656 22045\n22221 33382\n97607 100000\n94361 100000\n29699 44494\n51211 76729\n91750 100000\n20781 31222\n68031 100000\n53775 80557\n27952 41901\n59813 89677\n42152 63123\n5974 9029\n77253 100000\n81040 100000\n3485 5262\n93117 100000\n15555 23380\n58399 87530\n86889 100000\n69717 100000\n24527 36807\n56531 84709\n94165 100000\n14606 21968\n65186 97793\n76081 100000\n74519 100000\n40386 60463\n33151 49659\n10943 16480\n93013 100000\n68909 100000\n5850 8832\n93171 100000\n71528 100000\n77932 100000\n49422 74057\n98059 100000\n24628 36960\n20519 30828\n43445 65046\n44981 67345\n21502 32290\n4951 7479\n82138 100000\n46834 70113\n74057 100000\n48039 71937\n76543 100000\n77363 100000\n86593 100000\n49030 73447\n17873 26834\n70868 100000\n66345 99517\n44057 65940\n43261 64781\n74317 100000\n15526 23340\n23659 35512\n5542 8362\n25298 37947\n67282 100000\n35460 53084\n61570 92322\n19484 29278\n15804 23747\n31427 47080\n43990 65842\n96274 100000\n13819 20784\n34688 51945\n19106 28703\n21435 32192\n8368 12593\n77718 100000\n3257 4924\n42429 63542\n31735 47545\n72101 100000\n10101 15200\n82728 100000\n79048 100000\n58574 87787\n52140 78089\n4614 6971\n65619 98427\n1109 1663\n88486 100000\n39625 59300\n45469 68071\n94034 100000\n572 858\n83411 100000\n97001 100000\n5709 8610\n75657 100000\n75268 100000\n1424 2129\n56166 84158\n5493 8289\n8996 13530\n67911 100000\n1370 2048\n36494 54655\n37815 56610\n36730 55005\n4049 6108\n2475 3751\n99532 100000\n48666 72896\n40242 60247\n29517 44227\n86557 100000\n45377 67930\n43252 64768\n14562 21903\n41079 61510\n15576 23413\n88449 100000\n91382 100000\n9189 13820\n73737 100000\n52701 78934\n19229 28895\n67281 100000\n25837 38769\n22925 34424\n70785 100000\n59062 88521\n19899 29897\n73669 100000\n67299 100000\n12004 18062\n1169 1754\n36594 54801\n5284 7975\n93448 100000\n63607 95393\n65269 97917\n45285 67796\n75529 100000\n82877 100000\n43466 65077\n74682 100000\n89224 100000\n89519 100000\n73794 100000\n59822 89690\n78223 100000\n69846 100000\n73284 100000\n21228 31881\n10111 15214\n2648 4014\n41290 61831\n43596 65262\n2071 3128\n28137 42192\n50312 75378\n82898 100000\n42884 64213\n31098 46584\n76585 100000\n81541 100000\n76134 100000\n71307 100000\n61500 92212\n40934 61297\n51955 77819\n1498 2241\n85033 100000\n91872 100000\n70395 100000\n86842 100000\n40493 60627\n28989 43452\n75391 100000\n57908 86793\n16086 24158\n57260 85806\n20563 30897\n4228 6384\n72619 100000\n17136 25719\n44307 66324\n66809 100000\n92649 100000\n66120 99178\n19212 28867\n80313 100000\n69959 100000\n1255 1878\n92224 100000\n91646 100000\n63269 94882\n33415 50064\n15859 23826\n45134 67570\n23689 35561\n11550 17395\n82184 100000\n2107 3182\n90409 100000\n47995 71871\n92984 100000\n78974 100000\n43293 64828\n69442 100000\n12246 18432\n34136 51146\n17248 25889\n68542 100000\n21407 32150\n15351 23087\n73782 100000\n58653 87903\n62199 93276\n3737 5627\n86971 100000\n60342 90466\n68758 100000\n75194 100000\n16918 25398\n77526 100000\n82487 100000\n18630 27966\n37430 56031\n22343 33559\n14051 21147\n61806 92674\n41399 61994\n60776 91124\n29426 44096\n73365 100000\n36005 53902\n66449 99665\n81160 100000\n96501 100000\n21969 32995\n72080 100000\n29653 44431\n45478 68085\n7069 10660\n45710 68428\n38553 57711\n87166 100000\n84985 100000\n14953 22502\n33578 50303\n10011 15060\n35013 52425\n29623 44392\n23579 35395\n9391 14126\n51709 77464\n54518 81676\n97451 100000\n75799 100000\n16762 25160\n94164 100000\n10886 16390\n2304 3486\n5560 8385\n34062 51033\n41387 61975\n8016 12073\n34551 51750\n9373 14099\n16929 25417\n20062 30137\n63545 95299\n74559 100000\n90122 100000\n66536 99803\n38147 57105\n24130 36213\n24136 36221\n9998 15041\n92242 100000\n33503 50196\n59928 89851\n21244 31906\n84158 100000\n74507 100000\n76209 100000\n12426 18704\n30713 46028\n298 444\n93816 100000\n676 1010\n75992 100000\n77624 100000\n64015 96009\n18899 28382\n51598 77303\n9760 14678\n21071 31649\n97916 100000\n20016 30074\n28956 43405\n14928 22459\n10056 15129\n48783 73081\n65831 98744\n14050 21146\n64763 97138\n26210 39322\n70631 100000\n10774 16221\n1279 1915\n76516 100000\n20904 31406\n29022 43500\n58471 87635\n30036 45002\n14972 22526\n44661 66865\n19641 29512\n20989 31527\n81203 100000\n23564 35374\n66211 99313\n83476 100000\n61218 91782\n78393 100000\n14439 21722\n27735 41577\n14480 21779\n52079 78004\n99362 100000\n40610 60804\n47185 70645\n92561 100000\n92769 100000\n54318 81371\n16989 25504\n55823 83633\n22047 33111\n84321 100000\n88894 100000\n74469 100000\n31861 47733\n90227 100000\n96330 100000\n95703 100000\n17559 26362\n92087 100000\n1149 1723\n84413 100000\n53502 80133\n30147 45170\n79812 100000\n40865 61187\n44088 65985\n2009 3031\n22781 34211\n26057 39090\n63451 95148\n82118 100000\n29081 43589\n96458 100000\n96109 100000\n40956 61327\n70805 100000\n9256 13925\n89478 100000\n15321 23036\n28895 43314\n78369 100000\n14491 21797\n41744 62514\n9467 14236\n36624 54844\n34199 51242\n90306 100000\n2585 3916\n80285 100000\n73308 100000\n8437 12693\n92069 100000\n46736 69975\n46140 69072\n69994 100000\n14908 22427\n76093 100000\n39187 58662\n38222 57217\n21639 32501\n94839 100000\n89839 100000\n17821 26755\n7634 11502\n59617 89382\n87331 100000\n8047 12120\n97938 100000\n78117 100000\n41731 62494\n41603 62302\n26668 39982\n38415 57515\n95216 100000\n91171 100000\n72112 100000\n50742 76025\n94151 100000\n46287 69302\n60316 90428\n28341 42493\n26128 39196\n18277 27440\n40737 60989\n49811 74634\n526 784\n75430 100000\n89296 100000\n57661 86420\n12487 18798\n64245 96367\n41837 62667\n72880 100000\n25665 38503\n79667 100000\n20677 31066\n75706 100000\n67491 100000\n63079 94599\n88314 100000\n90116 100000\n96092 100000\n56750 85043\n92575 100000\n16603 24924\n48751 73031\n96659 100000\n53233 79728\n67204 100000\n41436 62050\n16248 24404\n14550 21885\n20073 30156\n48962 73346\n65438 98163\n23197 34828\n24374 36583\n71693 100000\n68529 100000\n52930 79286\n85238 100000\n99733 100000\n79685 100000\n10868 16362\n97265 100000\n95480 100000\n28175 42253\n13168 19821\n43323 64868\n20478 30769\n43503 65132\n74502 100000\n2882 4359\n40384 60461\n85448 100000\n6538 9871\n73231 100000\n69655 100000\n5262 7944\n24676 37029\n5665 8543\n36608 54820\n58487 87658\n26637 39940\n37797 56584\n50661 75904\n72248 100000\n2130 3220\n98001 100000\n88510 100000\n39341 58886\n22033 33088\n81043 100000\n7669 11551\n36691 54946\n78432 100000\n21686 32569\n18894 28375\n88325 100000\n61898 92815\n34023 50974\n36786 55083\n27830 41725\n18701 28073\n35405 53001\n95913 100000\n44831 67124\n6448 9727\n45214 67690\n51217 76739\n83197 100000\n14990 22553\n40681 60908\n92792 100000\n87287 100000\n97454 100000\n59637 89411\n79404 100000\n56044 83972\n10586 15929\n2864 4335\n48879 73228\n48707 72960\n89233 100000\n32904 49299\n6739 10180\n40627 60832\n91945 100000\n47505 71129\n1139 1709\n21332 32031\n22026 33075\n15766 23693\n68050 100000\n48638 72856\n86711 100000\n61027 91491\n85948 100000\n46357 69403\n98075 100000\n14067 21174\n16023 24061\n90708 100000\n43390 64967\n7732 11645\n80244 100000\n65758 98636\n58690 87961\n13779 20727\n22522 33827\n83786 100000\n39668 59362\n41955 62830\n59057 88511\n25999 38999\n49034 73453\n81986 100000\n66991 100000\n63897 95841\n8767 13189\n83392 100000\n51597 77302\n22976 34499\n58271 87338\n85067 100000\n57236 85765\n79068 100000\n84063 100000\n58938 88334\n73894 100000\n11473 17280\n40406 60494\n80028 100000\n6356 9587\n7892 11885\n88312 100000\n19679 29564\n75984 100000\n60873 91257\n64065 96088\n15315 23025\n70911 100000\n41333 61895\n34343 51452\n54097 81048\n14133 21275\n97957 100000\n5167 7803\n49159 73647\n61306 91913\n49382 73990\n88210 100000\n36813 55122\n62959 94427\n38132 57084\n28550 42806\n75120 100000\n70749 100000\n88469 100000\n97495 100000\n8281 12466\n92203 100000\n25012 37526\n14304 21525\n73221 100000\n48309 72350\n75762 100000\n98421 100000\n29146 43685\n79328 100000\n20385 30630\n11721 17649\n77876 100000\n17307 25978\n74255 100000\n75879 100000\n43652 65353\n82028 100000\n29193 43743\n26031 39051\n2077 3140\n16417 24649\n52815 79112\n92716 100000\n41107 61552\n22388 33630\n81731 100000\n13437 20230\n70950 100000\n60578 90824\n46833 70112\n16839 25277\n48498 72637\n87187 100000\n88262 100000\n94104 100000\n45094 67516\n59837 89714\n64039 96047\n46865 70152\n86950 100000\n20728 31147\n78763 100000\n2143 3239\n55169 82639\n98207 100000\n28357 42516\n59276 88853\n14152 21305\n29528 44242\n7976 12016\n56737 85026\n80747 100000\n98877 100000\n5980 9038\n5779 8720\n67388 100000\n48622 72830\n33427 50081\n24214 36334\n34482 51656\n81576 100000\n19867 29848\n91092 100000\n61159 91693\n62457 93675\n52953 79316\n90877 100000\n40050 59962\n77785 100000\n6806 10282\n97476 100000\n66508 99761\n64798 97195\n65141 97721\n65962 98942\n70784 100000\n57402 86019\n23280 34949\n6750 10195\n51748 77520\n12829 19310\n70095 100000\n83674 100000\n98340 100000\n492 733\n5537 8356\n34248 51313\n35445 53064\n60374 90516\n80200 100000\n11633 17518\n14282 21492\n37198 55692\n65569 98352\n57842 86688\n13482 20288\n51831 77644\n13973 21023\n47178 70636\n94158 100000\n99421 100000\n64720 97075\n974 1460\n82462 100000\n8212 12358\n55125 82575\n67406 100000\n81248 100000\n73341 100000\n48024 71914\n15372 23116\n10652 16030\n26698 40034\n80736 100000\n13273 19983\n84622 100000\n18849 28302\n76547 100000\n23695 35568\n74205 100000\n38797 58069\n70770 100000\n63689 95522\n11142 16786\n18479 27740\n30772 46110\n83755 100000\n19721 29622\n81272 100000\n31211 46764\n29002 43471\n76398 100000\n96216 100000\n16628 24957\n6487 9789\n59957 89896\n2427 3682\n7662 11543\n12193 18349\n74359 100000\n53646 80352\n30808 46166\n74341 100000\n39232 58724\n68412 100000\n84723 100000\n21802 32742\n20978 31513\n83397 100000\n16868 25322\n86816 100000\n702 1048\n33456 50121\n9847 14813\n67507 100000\n54910 82255\n23844 35781\n22432 33693\n81445 100000\n32545 48740\n75279 100000\n94143 100000\n89781 100000\n19812 29759\n59096 88575\n43683 65393\n92280 100000\n16798 25220\n843 1257\n28722 43057\n11655 17551\n55582 83272\n82787 100000\n9053 13605\n81395 100000\n13574 20429\n4035 6084\n69848 100000\n81352 100000\n90573 100000\n65281 97936\n53808 80606\n66232 99345\n48846 73176\n24492 36757\n92177 100000\n48274 72297\n20066 30144\n32697 48977\n23199 34831\n22206 33359\n30551 45782\n27396 41077\n55013 82405\n41756 62533\n63966 95938\n37520 56165\n99570 100000\n89606 100000\n34455 51613\n41484 62127\n89182 100000\n847 1261\n3627 5469\n88552 100000\n59107 88591\n4986 7529\n69844 100000\n95028 100000\n73593 100000\n88925 100000\n53822 80626\n20520 30829\n96151 100000\n19428 29195\n38251 57262\n46794 70056\n34816 52139\n51040 76469\n3014 4567\n34546 51743\n12740 19177\n68436 100000\n47996 71873\n82818 100000\n79488 100000\n82574 100000\n63766 95641\n48212 72200\n66966 100000\n49996 74913\n1851 2794\n12840 19327\n79608 100000\n60707 91020\n16634 24966\n69385 100000\n70451 100000\n57047 85490\n43292 64827\n97305 100000\n55386 82972\n28202 42292\n99279 100000\n70066 100000\n10534 15848\n64313 96468\n89547 100000\n82405 100000\n45418 67993\n92359 100000\n88485 100000\n51458 77102\n79031 100000\n1826 2755\n25829 38756\n49371 73972\n63579 95350\n65116 97683\n68310 100000\n90251 100000\n90538 100000\n20371 30605\n31032 46489\n41999 62892\n80735 100000\n58183 87206\n84661 100000\n76984 100000\n4425 6677\n45112 67540\n1512 2262\n16699 25064\n89160 100000\n74151 100000\n76035 100000\n91866 100000\n40471 60595\n10657 16038\n15363 23103\n96738 100000\n41272 61806\n56638 84877\n67344 100000\n84875 100000\n6991 10557\n51259 76802\n75989 100000\n54791 82084\n33200 49737\n34123 51126\n84475 100000\n36297 54349\n34431 51582\n57369 85972\n79799 100000\n61725 92551\n54671 81904\n57291 85855\n97567 100000\n95967 100000\n40814 61107\n49014 73424\n71667 100000\n13162 19811\n48610 72812\n92587 100000\n79823 100000\n22135 33248\n64044 96056\n66349 99522\n10291 15485\n21905 32896\n9434 14186\n40952 61322\n53292 79825\n25398 38097\n69965 100000\n43608 65283\n3650 5500\n18177 27289\n27398 41079\n16487 24760\n67249 100000\n49841 74680\n50310 75375\n4601 6948\n52063 77978\n16196 24326\n95618 100000\n23111 34700\n3290 4975\n40082 60009\n33455 50119\n86782 100000\n97763 100000\n22525 33832\n2697 4087\n58547 87746\n78481 100000\n24279 36434\n86236 100000\n39197 58676\n16411 24641\n61571 92324\n52273 78294\n13728 20655\n43133 64584\n73045 100000\n82261 100000\n23006 34546\n45455 68049\n57299 85869\n72153 100000\n95914 100000\n40036 59937\n88514 100000\n88971 100000\n75540 100000\n71375 100000\n1632 2448\n5191 7837\n47707 71428\n11011 16580\n74191 100000\n89101 100000\n93127 100000\n10498 15794\n12170 18312\n21820 32773\n39441 59034\n74344 100000\n56149 84133\n78403 100000\n77051 100000\n57249 85787\n9670 14542\n48580 72763\n46868 70157\n12730 19160\n53745 80506\n63372 95032\n63168 94731\n46999 70362\n72509 100000\n18077 27141\n52265 78280\n61870 92772\n25763 38654\n31708 47507\n31353 46973\n89094 100000\n12721 19147\n2935 4443\n69887 100000\n89610 100000\n6544 9878\n84584 100000\n43429 65025\n54913 82259\n5400 8151\n37933 56782\n93084 100000\n18052 27103\n44404 66472\n66281 99418\n42278 63316\n8618 12968\n56309 84369\n64467 96692\n82636 100000\n6330 9549\n88924 100000\n33025 49473\n51244 76780\n243 365\n29223 43791\n76359 100000\n86430 100000\n30704 46017\n55912 83766\n11027 16609\n53126 79575\n94183 100000\n92789 100000\n47231 70721\n98190 100000\n94385 100000\n93905 100000\n32686 48959\n9040 13586\n67669 100000\n23065 34634\n43094 64526\n85966 100000\n63957 95926\n19928 29945\n65272 97922\n18021 27053\n19376 29119\n60894 91287\n6559 9899\n64681 97014\n410 617\n95112 100000\n66917 100000\n89331 100000\n6342 9569\n97842 100000\n3291 4977\n97706 100000\n75567 100000\n14553 21889\n50508 75670\n81929 100000\n42633 63839\n48434 72544\n31622 47374\n86614 100000\n62777 94154\n55099 82541\n57061 85513\n86615 100000\n21634 32494\n12415 18687\n83501 100000\n39021 58415\n17698 26579\n348 522\n61670 92469\n85389 100000\n88728 100000\n58808 88142\n56369 84460\n77511 100000\n10801 16265\n19557 29380\n61025 91488\n59464 89144\n58422 87564\n17950 26948\n90159 100000\n25161 37742\n27639 41438\n55831 83645\n2115 3193\n84726 100000\n29164 43710\n31068 46540\n46206 69170\n98588 100000\n66294 99437\n4480 6756\n59506 89211\n8902 13388\n76760 100000\n45461 68060\n16463 24720\n162 236\n95785 100000\n16588 24906\n60352 90479\n55492 83137\n2226 3369\n13264 19968\n66868 100000\n23776 35687\n73768 100000\n43873 65673\n75155 100000\n28373 42540\n57287 85848\n3653 5503\n78752 100000\n64980 97476\n9932 14940\n29070 43575\n44676 66890\n8805 13248\n55879 83720\n95479 100000\n34109 51106\n86438 100000\n39255 58759\n38304 57340\n90666 100000\n9660 14527\n75241 100000\n83987 100000\n65925 98890\n15969 23984\n58004 86938\n95736 100000\n78199 100000\n96625 100000\n14488 21792\n92824 100000\n79091 100000\n44673 66886\n57947 86854\n69746 100000\n86939 100000\n29757 44586\n85086 100000\n77073 100000\n2264 3427\n64478 96708\n77660 100000\n81612 100000\n28754 43102\n19592 29436\n87535 100000\n92836 100000\n90081 100000\n77777 100000\n18463 27717\n8496 12781\n51893 77731\n22231 33398\n97041 100000\n33139 49638\n62852 94267\n58553 87754\n81377 100000\n25463 38201\n53956 80828\n89340 100000\n31943 47855\n19849 29818\n75551 100000\n55205 82697\n96868 100000\n87834 100000\n6634 10011\n36663 54908\n56762 85061\n66219 99326\n75982 100000\n82242 100000\n32087 48065\n39439 59032\n31079 46556\n95154 100000\n76929 100000\n11197 16873\n46375 69431\n63759 95629\n90977 100000\n87421 100000\n91810 100000\n79593 100000\n1903 2875\n43810 65581\n52120 78063\n94147 100000\n3536 5337\n10214 15364\n71617 100000\n86104 100000\n63659 95475\n53865 80687\n58916 88304\n88443 100000\n28475 42691\n99802 100000\n93249 100000\n22740 34148\n45162 67614\n57592 86323\n29402 44058\n10614 15972\n40358 60422\n57754 86564\n28839 43228\n35328 52887\n31233 46798\n26516 39767\n28386 42560\n55435 83049\n40521 60668\n68855 100000\n39540 59174\n14165 21327\n48161 72119\n33857 50721\n41649 62370\n8926 13422\n91146 100000\n60641 90922\n21533 32340\n88706 100000\n64970 97462\n91491 100000\n33629 50390\n72672 100000\n50175 75173\n25428 38148\n35010 52421\n89193 100000\n84180 100000\n1373 2052\n52650 78863\n55517 83171\n34679 51931\n18484 27748\n83438 100000\n85511 100000\n3570 5385\n43992 65844\n91142 100000\n39320 58854\n79866 100000\n38648 57843\n89733 100000\n80047 100000\n20709 31114\n33931 50831\n54652 81871\n18301 27477\n57880 86750\n62584 93859\n83347 100000\n12778 19237\n39901 59733\n1753 2634\n76407 100000\n49397 74016\n78253 100000\n46390 69452\n4023 6066\n89214 100000\n63742 95600\n4525 6826\n79158 100000\n37627 56325\n69289 100000\n34463 51626\n25022 37541\n70614 100000\n47042 70429\n50568 75766\n95721 100000\n43223 64721\n16720 25093\n53078 79505\n98908 100000\n66563 99843\n64316 96473\n78765 100000\n89521 100000\n68038 100000\n14430 21710\n47470 71076\n77197 100000\n31292 46883\n93347 100000\n96992 100000\n22378 33616\n92361 100000\n96311 100000\n6427 9694\n93719 100000\n88215 100000\n66188 99277\n80844 100000\n65135 97711\n39069 58485\n82213 100000\n78467 100000\n48528 72684\n54021 80926\n6504 9817\n91447 100000\n27239 40837\n53052 79466\n71475 100000\n10466 15747\n44387 66447\n10428 15692\n99429 100000\n62169 93234\n85812 100000\n59806 89667\n94837 100000\n24602 36920\n29490 44190\n40110 60054\n14240 21430\n74449 100000\n38888 58209\n74982 100000\n18837 28284\n6271 9459\n86724 100000\n10739 16166\n83375 100000\n4991 7537\n77194 100000\n87118 100000\n67897 100000\n90092 100000\n64989 97488\n7413 11166\n8784 13213\n6410 9668\n82632 100000\n99883 100000\n23157 34768\n75632 100000\n88013 100000\n59774 89623\n99350 100000\n5845 8823\n57209 85726\n54789 82080\n47826 71609\n16910 25385\n97422 100000\n51163 76658\n44519 66641\n19422 29187\n73150 100000\n86338 100000\n34152 51171\n71977 100000\n66632 99948\n65478 98217\n9047 13597\n93698 100000\n5366 8099\n19754 29671\n49857 74705\n21090 31679\n16749 25137\n35498 53142\n22727 34128\n67874 100000\n2313 3500\n92338 100000\n53652 80362\n38802 58075\n53561 80226\n21192 31828\n17797 26717\n52389 78468\n69268 100000\n25158 37739\n42326 63388\n6709 10132\n27006 40482\n73740 100000\n33734 50538\n76291 100000\n33557 50272\n75197 100000\n83122 100000\n26955 40407\n9598 14428\n75399 100000\n89913 100000\n33208 49749\n67150 100000\n27213 40797\n94926 100000\n91091 100000\n3274 4951\n68098 100000\n47732 71464\n24538 36821\n77287 100000\n48852 73184\n34526 51719\n7542 11368\n45852 68648\n41357 61929\n36695 54952\n41820 62639\n87572 100000\n69148 100000\n52939 79299\n29765 44597\n77438 100000\n72351 100000\n84452 100000\n15026 22608\n66133 99197\n14025 21108\n84105 100000\n65100 97657\n27947 41895\n1442 2156\n85213 100000\n3889 5855\n47345 70891\n47706 71426\n46192 69151\n3791 5711\n17669 26537\n23591 35415\n88832 100000\n6400 9653\n2870 4342\n16656 24996\n10815 16288\n4672 7058\n76048 100000\n37522 56167\n5024 7582\n43011 64403\n63851 95774\n65034 97556\n74339 100000\n26727 40071\n91367 100000\n3753 5652\n43825 65601\n60163 90196\n69472 100000\n90160 100000\n95821 100000\n72055 100000\n30478 45672\n70032 100000\n65385 98082\n35056 52490\n30379 45521\n53650 80358\n86455 100000\n81412 100000\n86302 100000\n64305 96456\n48672 72905\n68532 100000\n91204 100000\n62908 94347\n83260 100000\n68351 100000\n37095 55538\n14989 22551\n24234 36363\n40825 61124\n59609 89371\n4008 6041\n82703 100000\n78719 100000\n22470 33752\n82219 100000\n14527 21853\n59552 89283\n46447 69538\n65556 98333\n48119 72053\n24765 37155\n18079 27145\n58087 87066\n60925 91332\n39446 59040\n43840 65626\n13918 20937\n2791 4219\n78211 100000\n56425 84549\n86225 100000\n26539 39801\n80850 100000\n30299 45406\n32743 49047\n88674 100000\n35856 53674\n32831 49186\n99687 100000\n47009 70378\n58920 88310\n83274 100000\n81944 100000\n81046 100000\n83339 100000\n39010 58399\n82105 100000\n18486 27751\n19978 30016\n23531 35326\n99755 100000\n59438 89111\n95282 100000\n29607 44369\n54507 81658\n34747 52035\n42890 64221\n53813 80613\n76258 100000\n67703 100000\n98601 100000\n42018 62921\n35958 53827\n53524 80167\n59468 89151\n45254 67749\n53033 79433\n80538 100000\n98573 100000\n39198 58678\n99777 100000\n18058 27112\n5072 7662\n82768 100000\n72715 100000\n23847 35787\n86894 100000\n71609 100000\n79196 100000\n25626 38443\n82333 100000\n22572 33899\n35873 53701\n41003 61399\n78589 100000\n66742 100000\n10864 16355\n20072 30154\n79269 100000\n26494 39738\n36065 53993\n63162 94721\n28048 42053\n96574 100000\n23398 35123\n89805 100000\n61555 92296\n45802 68570\n15913 23905\n94653 100000\n31161 46683\n53768 80547\n17733 26628\n21807 32750\n2426 3681\n11362 17118\n44243 66229\n78755 100000\n84528 100000\n2847 4307\n36405 54514\n44653 66851\n68904 100000\n12234 18412\n87108 100000\n88798 100000\n21179 31811\n13762 20702\n71381 100000\n13509 20325\n36018 53924\n64181 96265\n52473 78603\n76628 100000\n69492 100000\n2995 4537\n63594 95374\n97408 100000\n99046 100000\n34240 51303\n77054 100000\n90310 100000\n97444 100000\n95996 100000\n14813 22285\n70045 100000\n70448 100000\n51571 77268\n64414 96617\n91999 100000\n10791 16248\n65200 97815\n36333 54403\n15837 23794\n61527 92255\n14821 22296\n99227 100000\n75528 100000\n95364 100000\n59563 89299\n50519 75686\n52393 78474\n32052 48011\n64562 96836\n30721 46041\n26181 39281\n90887 100000\n43071 64494\n49201 73710\n87308 100000\n47882 71698\n61362 91996\n38261 57277\n2293 3467\n41739 62506\n35559 53241\n84361 100000\n55402 82998\n96843 100000\n62431 93632\n64708 97057\n17809 26736\n96344 100000\n52286 78311\n29549 44277\n4577 6910\n4402 6643\n50897 76253\n86456 100000\n71221 100000\n19151 28772\n34604 51826\n78278 100000\n38449 57562\n69590 100000\n14123 21260\n940 1405\n97666 100000\n50682 75936\n26577 39857\n24273 36425\n77048 100000\n63405 95080\n43537 65179\n61945 92892\n33769 50589\n79900 100000\n64822 97235\n81019 100000\n57026 85460\n40250 60258\n94562 100000\n30291 45393\n51703 77455\n88516 100000\n10065 15142\n42450 63574\n49111 73575\n82017 100000\n50297 75354\n7403 11150\n73313 100000\n74083 100000\n95452 100000\n61644 92430\n62147 93199\n75683 100000\n76774 100000\n93877 100000\n10451 15725\n71833 100000\n18106 27187\n35407 53003\n49387 73999\n92551 100000\n72181 100000\n78549 100000\n15043 22630\n15396 23151\n98180 100000\n54824 82129\n37304 55852\n46143 69076\n69311 100000\n33336 49939\n48788 73089\n6934 10470\n36449 54587\n44885 67206\n35965 53839\n87821 100000\n66000 98998\n25730 38604\n70544 100000\n39647 59333\n96496 100000\n25888 38844\n33661 50439\n81890 100000\n89003 100000\n20501 30803\n70763 100000\n37173 55655\n10677 16072\n70423 100000\n33804 50639\n53636 80338\n88777 100000\n84378 100000\n85826 100000\n20952 31477\n81640 100000\n77191 100000\n43912 65729\n65815 98719\n1289 1930\n51806 77609\n11130 16765\n63123 94666\n33410 50055\n39390 58957\n4158 6275\n42642 63852\n3908 5885\n47052 70444\n48637 72854\n90729 100000\n23816 35745\n50016 74942\n53706 80444\n96072 100000\n11654 17550\n18580 27889\n8089 12180\n30744 46075\n24290 36449\n77032 100000\n26283 39434\n84181 100000\n97545 100000\n95974 100000\n61471 92167\n8769 13192\n98743 100000\n96226 100000\n78579 100000\n51230 76758\n84130 100000\n90491 100000\n24677 37030\n30202 45252\n45167 67621\n19080 28657\n76818 100000\n19492 29290\n95599 100000\n62013 93001\n74472 100000\n16611 24935\n98991 100000\n20251 30428\n2471 3745\n99005 100000\n76072 100000\n58857 88217\n50332 75409\n78142 100000\n65073 97616\n41435 62048\n27916 41848\n39368 58924\n97499 100000\n5807 8767\n18839 28287\n43081 64509\n35246 52764\n79022 100000\n98959 100000\n41903 62758\n80307 100000\n28825 43206\n22272 33461\n67517 100000\n23189 34816\n4205 6347\n32928 49334\n88978 100000\n63669 95490\n79473 100000\n59090 88566\n78301 100000\n3566 5381\n41495 62138\n67091 100000\n82348 100000\n44454 66544\n68871 100000\n34158 51180\n49238 73766\n30489 45688\n89404 100000\n99054 100000\n85428 100000\n37285 55824\n60709 91023\n48496 72634\n98140 100000\n13891 20899\n28789 43154\n23804 35728\n79814 100000\n79604 100000\n76153 100000\n91262 100000\n57130 85611\n81154 100000\n34897 52256\n57176 85678\n85900 100000\n23928 35907\n74528 100000\n88257 100000\n78705 100000\n7780 11716\n75236 100000\n21193 31829\n97929 100000\n45602 68272\n30584 45835\n4263 6438\n23333 35027\n44254 66246\n79999 100000\n52511 78661\n91397 100000\n53741 80499\n74876 100000\n83802 100000\n95650 100000\n67489 100000\n40591 60775\n81911 100000\n63568 95331\n66717 100000\n48142 72090\n69450 100000\n59395 89041\n29184 43733\n65842 98762\n84931 100000\n1975 2983\n82853 100000\n50169 75164\n83054 100000\n77901 100000\n15736 23650\n74040 100000\n7077 10671\n60154 90181\n14155 21310\n5712 8614\n18056 27109\n60591 90841\n82300 100000\n4226 6381\n12190 18343\n54186 81174\n82737 100000\n17381 26095\n28425 42617\n74721 100000\n43378 64950\n95770 100000\n25488 38236\n3645 5494\n71982 100000\n69513 100000\n89493 100000\n48446 72561\n1846 2784\n84255 100000\n14146 21295\n36923 55281\n22156 33278\n59405 89058\n75350 100000\n86256 100000\n25628 38446\n68715 100000\n68820 100000\n53678 80402\n13766 20708\n48599 72795\n13492 20301\n72985 100000\n19323 29035\n42745 64009\n220 329\n13035 19621\n81828 100000\n15246 22927\n52484 78621\n73215 100000\n603 902\n21303 31988\n71008 100000\n39138 58589\n1655 2480\n74980 100000\n91888 100000\n27891 41810\n62552 93814\n80466 100000\n75411 100000\n71332 100000\n94085 100000\n18911 28399\n49287 73836\n29133 43667\n77143 100000\n81876 100000\n84312 100000\n21721 32619\n79260 100000\n87662 100000\n704 1052\n11986 18034\n25822 38746\n95580 100000\n74076 100000\n19609 29463\n94 139\n6854 10354\n99927 100000\n77003 100000\n98011 100000\n72466 100000\n59910 89824\n38460 57580\n67015 100000\n86116 100000\n42861 64178\n98636 100000\n88110 100000\n76197 100000\n85341 100000\n49556 74248\n54454 81576\n74568 100000\n66676 100000\n24501 36769\n80120 100000\n33240 49799\n86838 100000\n88158 100000\n40710 60951\n29594 44351\n67998 100000\n10912 16434\n1426 2131\n16271 24440\n79567 100000\n57458 86106\n84719 100000\n6665 10058\n63310 94945\n35286 52825\n26231 39355\n63187 94756\n33321 49918\n60068 90060\n79805 100000\n60941 91356\n34414 51557\n1683 2528\n99904 100000\n37296 55840\n17418 26153\n70689 100000\n54858 82179\n91095 100000\n32546 48742\n85625 100000\n21580 32410\n68698 100000\n87004 100000\n46178 69129\n36917 55274\n50812 76130\n89664 100000\n97410 100000\n79125 100000\n42273 63308\n75604 100000\n84484 100000\n8614 12962\n70708 100000\n92066 100000\n45999 68864\n8952 13463\n33672 50455\n79307 100000\n80005 100000\n36381 54479\n50351 75437\n96105 100000\n58336 87437\n32509 48684\n66719 100000\n25215 37824\n81962 100000\n82233 100000\n24664 37010\n22583 33916\n46499 69621\n13354 20104\n21118 31721\n41325 61886\n13313 20040\n96601 100000\n65950 98927\n40379 60454\n58022 86967\n74717 100000\n19494 29293\n82788 100000\n29220 43786\n44175 66123\n19541 29358\n28743 43087\n92385 100000\n22742 34152\n60639 90919\n72881 100000\n72078 100000\n63900 95844\n17748 26650\n35971 53849\n98521 100000\n71064 100000\n99857 100000\n33109 49598\n71106 100000\n58447 87599\n11367 17126\n47978 71844\n94620 100000\n33269 49844\n1068 1602\n9267 13939\n6872 10382\n13445 20238\n41848 62685\n31195 46738\n78456 100000\n5396 8145\n20766 31202\n62186 93257\n29581 44331\n42780 64061\n10654 16034\n63876 95812\n76708 100000\n69993 100000\n75470 100000\n19388 29140\n37110 55560\n12333 18560\n23716 35602\n98643 100000\n36052 53973\n68373 100000\n77336 100000\n8865 13335\n9803 14744\n98510 100000\n49413 74042\n47027 70405\n80085 100000\n62458 93677\n80179 100000\n21914 32910\n92008 100000\n96424 100000\n24351 36547\n20052 30125\n16820 25252\n45861 68662\n58314 87405\n25700 38555\n51219 76742\n55243 82752\n2453 3721\n37909 56748\n76727 100000\n7920 11927\n42811 64105\n6567 9912\n45614 68288\n24371 36578\n87908 100000\n81374 100000\n76062 100000\n84595 100000\n26999 40469\n38769 58023\n81623 100000\n68355 100000\n42116 63071\n28342 42494\n86954 100000\n76158 100000\n97363 100000\n49109 73573\n86491 100000\n14952 22501\n41335 61899\n44058 65942\n78415 100000\n12579 18939\n26248 39382\n57556 86265\n43041 64445\n35085 52530\n80314 100000\n67994 100000\n22104 33202\n83543 100000\n95146 100000\n21766 32688\n72011 100000\n66739 100000\n31981 47915\n798 1197\n13474 20276\n22813 34255\n11803 17774\n45516 68143\n27418 41110\n63961 95932\n34528 51722\n1405 2098\n93724 100000\n15573 23408\n50729 76006\n77930 100000\n22482 33769\n95885 100000\n53927 80784\n76563 100000\n47498 71117\n33081 49555\n75132 100000\n56657 84908\n4428 6681\n53409 80000\n65199 97813\n92875 100000\n61732 92561\n336 504\n619 924\n4200 6340\n98980 100000\n94343 100000\n59747 89583\n97054 100000\n27173 40735\n50484 75630\n43046 64453\n82464 100000\n6315 9527\n19016 28563\n91522 100000\n44667 66877\n34284 51366\n32566 48774\n50281 75331\n55110 82556\n70524 100000\n81577 100000\n30915 46317\n10984 16539\n3960 5966\n21514 32308\n81488 100000\n7838 11803\n16018 24056\n97671 100000\n74975 100000\n71459 100000\n98993 100000\n80025 100000\n63044 94547\n92796 100000\n48282 72308\n27548 41303\n25152 37728\n4115 6208\n18854 28310\n47586 71250\n41257 61786\n71780 100000\n72569 100000\n36304 54358\n39199 58680\n48113 72046\n44590 66747\n5823 8791\n28769 43124\n47523 71156\n96488 100000\n69363 100000\n79879 100000\n66150 99222\n42076 63013\n16760 25156\n97580 100000\n79230 100000\n71464 100000\n70766 100000\n92070 100000\n47827 71610\n69522 100000\n61354 91984\n20923 31434\n98004 100000\n63450 95147\n90722 100000\n84306 100000\n69635 100000\n18450 27696\n98267 100000\n57069 85524\n26046 39073\n13666 20568\n17730 26624\n87714 100000\n35871 53698\n18343 27537\n72604 100000\n63418 95100\n93218 100000\n88187 100000\n49303 73860\n15535 23352\n96310 100000\n94674 100000\n88548 100000\n12102 18209\n5734 8647\n523 778\n75566 100000\n71426 100000\n73830 100000\n92102 100000\n86540 100000\n14015 21090\n16017 24054\n28856 43257\n21451 32215\n73099 100000\n22013 33058\n84986 100000\n56585 84792\n23511 35296\n27945 41892\n67861 100000\n99947 100000\n23599 35426\n76107 100000\n12728 19156\n64516 96767\n14768 22216\n16934 25424\n37236 55752\n84784 100000\n19799 29739\n37115 55567\n58599 87821\n6957 10508\n1895 2863\n83527 100000\n25317 37976\n82295 100000\n86512 100000\n32443 48585\n55261 82780\n60718 91038\n55380 82962\n46168 69113\n31635 47392\n75710 100000\n34640 51877\n425 637\n10486 15774\n68248 100000\n28424 42616\n701 1047\n71150 100000\n78065 100000\n80810 100000\n25350 38028\n30420 45590\n34933 52310\n4543 6855\n94716 100000\n82454 100000\n35972 53851\n73371 100000\n7249 10926\n34907 52271\n36108 54056\n9929 14936\n96704 100000\n22832 34286\n89265 100000\n76939 100000\n5446 8218\n36298 54350\n5994 9057\n37238 55755\n95550 100000\n33930 50830\n23870 35820\n21945 32960\n89858 100000\n60358 90491\n41151 61621\n7349 11070\n28443 42643\n76294 100000\n889 1320\n76131 100000\n35814 53607\n27514 41253\n92594 100000\n95652 100000\n75313 100000\n20313 30517\n26817 40204\n37445 56053\n62622 93918\n29007 43477\n378 570\n92252 100000\n87971 100000\n4621 6981\n75089 100000\n16589 24907\n26196 39303\n40556 60725\n17337 26026\n9376 14102\n55684 83426\n57624 86366\n59437 89110\n26271 39415\n79286 100000\n71727 100000\n60029 90003\n13957 20998\n79757 100000\n19265 28948\n4457 6726\n19758 29675\n97824 100000\n55897 83745\n95153 100000\n32366 48476\n6131 9255\n24017 36042\n16547 24850\n33713 50509\n63337 94983\n37542 56198\n47049 70440\n84884 100000\n78013 100000\n47320 70855\n2175 3289\n55040 82442\n56717 84995\n45853 68649\n28074 42093\n42464 63596\n11801 17772\n76091 100000\n71570 100000\n87752 100000\n86485 100000\n94817 100000\n48554 72724\n94021 100000\n8672 13047\n38858 58167\n16412 24642\n70956 100000\n1300 1945\n99300 100000\n47501 71123\n31226 46788\n40240 60244\n10591 15938\n75272 100000\n72071 100000\n6239 9410\n14786 22245\n39638 59318\n98583 100000\n82431 100000\n78793 100000\n30641 45924\n85430 100000\n61637 92417\n52857 79173\n86183 100000\n60638 90917\n71904 100000\n87501 100000\n816 1223\n7131 10750\n76436 100000\n10782 16233\n47745 71485\n36727 55000\n83212 100000\n18835 28282\n3786 5703\n9644 14501\n72239 100000\n67433 100000\n10718 16134\n69421 100000\n46750 69994\n63593 95372\n8477 12749\n42806 64100\n44692 66915\n99806 100000\n83334 100000\n70888 100000\n46425 69503\n47443 71038\n53707 80446\n13240 19931\n1953 2950\n57390 86002\n56140 84118\n79724 100000\n13423 20206\n17876 26838\n15531 23346\n50155 75144\n1469 2195\n35869 53694\n44650 66847\n19269 28955\n48531 72688\n9934 14942\n63840 95757\n67485 100000\n81956 100000\n24517 36793\n98655 100000\n42083 63023\n42539 63705\n24345 36537\n62201 93279\n49478 74136\n96321 100000\n75644 100000\n83205 100000\n28230 42334\n54655 81877\n83370 100000\n63153 94709\n13774 20719\n18190 27310\n61019 91478\n82193 100000\n75932 100000\n52830 79136\n64005 95994\n82186 100000\n1082 1622\n91520 100000\n60031 90006\n20487 30785\n60422 90589\n36051 53971\n27974 41934\n97266 100000\n81751 100000\n31784 47618\n31547 47256\n99485 100000\n22776 34203\n88249 100000\n26877 40294\n67095 100000\n55585 83276\n82886 100000\n57718 86512\n89469 100000\n99814 100000\n45442 68031\n99884 100000\n86368 100000\n73021 100000\n97196 100000\n79659 100000\n97284 100000\n52482 78617\n36103 54049\n16735 25113\n97691 100000\n59154 88663\n85305 100000\n19897 29894\n35743 53504\n51824 77634\n36280 54324\n19389 29142\n41080 61512\n69211 100000\n33525 50227\n92742 100000\n39837 59634\n74917 100000\n19955 29982\n61805 92673\n43894 65707\n92351 100000\n54419 81521\n91425 100000\n23338 35033\n31505 47194\n68596 100000\n3293 4979\n35635 53350\n53002 79388\n64109 96153\n51380 76985\n96079 100000\n37388 55968\n88883 100000\n66757 100000\n6351 9579\n99523 100000\n60668 90963\n85722 100000\n46801 70067\n69535 100000\n46757 70005\n76791 100000\n11914 17929\n60758 91099\n82745 100000\n37349 55913\n4568 6894\n40780 61056\n82284 100000\n44686 66905\n58208 87243\n34331 51433\n98717 100000\n50134 75113\n13493 20302\n42505 63658\n46463 69564\n2318 3509\n96839 100000\n46196 69156\n55758 83536\n92004 100000\n97204 100000\n76376 100000\n45666 68368\n2944 4458\n46815 70087\n48244 72250\n31964 47886\n43815 65587\n53604 80293\n36653 54891\n21823 32777\n96605 100000\n28294 42423\n84290 100000\n27746 41594\n41674 62411\n97183 100000\n66065 99092\n26496 39742\n15779 23710\n74931 100000\n92629 100000\n66703 100000\n66072 99106\n62498 93732\n78896 100000\n39663 59356\n27647 41450\n18212 27344\n58210 87246\n62084 93103\n41932 62798\n79339 100000\n16734 25112\n41609 62311\n46636 69828\n86546 100000\n29269 43862\n87477 100000\n41528 62188\n48110 72043\n48826 73147\n60307 90414\n73317 100000\n46922 70241\n67324 100000\n20147 30266\n4737 7155\n3125 4731\n91284 100000\n60644 90928\n35999 53892\n31337 46951\n88568 100000\n90617 100000\n74633 100000\n63475 95188\n56003 83909\n9128 13724\n65461 98196\n68059 100000\n10708 16119\n15742 23658\n64246 96368\n49957 74854\n84486 100000\n39618 59289\n63950 95916\n30807 46165\n85710 100000\n8527 12829\n52671 78892\n35468 53095\n66246 99364\n35934 53793\n12269 18468\n86091 100000\n45979 68835\n65757 98635\n79580 100000\n19344 29071\n60799 91153\n80053 100000\n99872 100000\n65852 98778\n63649 95459\n56990 85407\n37433 56036\n38035 56938\n97523 100000\n32282 48353\n90551 100000\n21683 32565\n71691 100000\n37592 56272\n91246 100000\n43716 65444\n90239 100000\n57967 86882\n61226 91794\n10983 16537\n17503 26280\n84821 100000\n85610 100000\n68350 100000\n75885 100000\n25174 37761\n89715 100000\n86706 100000\n32536 48726\n86197 100000\n28199 42288\n13178 19836\n14188 21358\n56899 85266\n24414 36643\n83581 100000\n76650 100000\n88675 100000\n71578 100000\n36251 54277\n85469 100000\n61213 91775\n82607 100000\n62238 93337\n66048 99066\n6851 10349\n57093 85556\n25130 37699\n55111 82557\n72556 100000\n75378 100000\n3463 5226\n3299 4989\n70462 100000\n40642 60852\n16703 25069\n68856 100000\n12568 18922\n24554 36844\n2209 3341\n6642 10021\n31605 47348\n55955 83835\n58502 87679\n86176 100000\n6861 10364\n43247 64759\n53708 80447\n88332 100000\n69503 100000\n41187 61677\n38880 58200\n67602 100000\n91725 100000\n90879 100000\n17214 25837\n66524 99785\n43260 64779\n73776 100000\n97061 100000\n97310 100000\n12555 18901\n89636 100000\n23037 34593\n60640 90921\n71825 100000\n47092 70501\n75650 100000\n96324 100000\n58967 88377\n2174 3287\n53175 79644\n14616 21984\n92762 100000\n73266 100000\n86413 100000\n40622 60825\n490 731\n11707 17628\n69952 100000\n79971 100000\n31506 47196\n53340 79893\n60549 90781\n6212 9373\n33322 49919\n59975 89919\n54593 81782\n44463 66559\n6949 10496\n27496 41227\n48175 72140\n27118 40652\n14815 22287\n86573 100000\n16849 25292\n71094 100000\n72243 100000\n13884 20888\n19700 29592\n40561 60732\n22222 33384\n52150 78104\n93366 100000\n51997 77879\n81467 100000\n76409 100000\n25248 37873\n79952 100000\n47243 70740\n80197 100000\n39573 59222\n33942 50848\n83481 100000\n38091 57024\n27984 41949\n60272 90361\n85121 100000\n42149 63118\n85881 100000\n75446 100000\n68493 100000\n51324 76898\n60076 90072\n93184 100000\n85099 100000\n10672 16064\n11537 17378\n12662 19061\n79585 100000\n35767 53540\n93311 100000\n17390 26110\n33550 50263\n55139 82594\n56616 84843\n78842 100000\n39212 58697\n40766 61031\n36029 53941\n55539 83204\n72096 100000\n49257 73790\n39201 58683\n92170 100000\n80939 100000\n86240 100000\n84019 100000\n27726 41564\n12098 18203\n94033 100000\n28650 42953\n46635 69827\n61768 92618\n89955 100000\n25218 37830\n58770 88090\n73671 100000\n80529 100000\n24803 37206\n20241 30412\n20374 30611\n95010 100000\n90295 100000\n34338 51443\n83265 100000\n73426 100000\n97069 100000\n5622 8475\n13472 20273\n97014 100000\n52007 77893\n3191 4831\n8658 13024\n97973 100000\n69827 100000\n15801 23742\n51654 77383\n67538 100000\n13820 20785\n10742 16171\n85906 100000\n83483 100000\n61752 92593\n34638 51874\n77282 100000\n76904 100000\n10721 16137\n78979 100000\n91441 100000\n83848 100000\n96426 100000\n84863 100000\n96183 100000\n86083 100000\n73380 100000\n79046 100000\n80634 100000\n88814 100000\n85921 100000\n1955 2952\n30273 45364\n88575 100000\n81811 100000\n53761 80535\n63431 95117\n58650 87898\n64604 96902\n47928 71765\n48630 72844\n27333 40979\n82346 100000\n45562 68210\n1552 2324\n82527 100000\n94550 100000\n70797 100000\n91312 100000\n7417 11173\n40801 61087\n17074 25627\n77942 100000\n72254 100000\n85547 100000\n89085 100000\n70633 100000\n20366 30597\n18368 27578\n81448 100000\n70795 100000\n73408 100000\n60424 90591\n5158 7791\n99028 100000\n65070 97612\n88521 100000\n78216 100000\n72891 100000\n10259 15439\n93120 100000\n26242 39373\n87698 100000\n67018 100000\n15251 22934\n98447 100000\n45324 67852\n60472 90666\n77017 100000\n18842 28291\n94763 100000\n1355 2026\n85987 100000\n16115 24198\n70400 100000\n23116 34707\n22899 34386\n13899 20911\n65979 98966\n95482 100000\n37712 56452\n82480 100000\n49272 73814\n45328 67857\n74951 100000\n32957 49375\n91583 100000\n27883 41798\n95771 100000\n50606 75819\n733 1094\n30171 45204\n864 1285\n64299 96447\n26992 40458\n61976 92946\n8970 13493\n68514 100000\n94168 100000\n77328 100000\n17988 27005\n57773 86590\n8763 13183\n77384 100000\n61260 91850\n83146 100000\n12907 19429\n88254 100000\n82271 100000\n65864 98797\n94366 100000\n88473 100000\n64273 96408\n94780 100000\n46677 69889\n65560 98340\n73678 100000\n54340 81406\n99772 100000\n19802 29743\n91021 100000\n49844 74684\n89857 100000\n67387 100000\n1701 2554\n27285 40905\n48023 71913\n10540 15857\n6952 10500\n40971 61352\n13135 19770\n26436 39656\n62843 94252\n40860 61179\n64089 96125\n99699 100000\n27731 41572\n6599 9962\n27163 40720\n85736 100000\n98917 100000\n24490 36755\n34171 51202\n59399 89048\n62192 93266\n33444 50105\n37936 56786\n64371 96552\n43535 65176\n63886 95826\n75143 100000\n1656 2481\n14668 22063\n19282 28974\n47913 71744\n4280 6462\n90748 100000\n54863 82185\n68434 100000\n66423 99622\n87057 100000\n77496 100000\n84144 100000\n92681 100000\n56573 84773\n91623 100000\n91996 100000\n36079 54014\n25262 37893\n52663 78882\n57459 86107\n38529 57680\n11005 16570\n54376 81458\n32582 48798\n56820 85151\n46839 70119\n86471 100000\n5729 8638\n90415 100000\n2047 3090\n28117 42166\n83303 100000\n11442 17235\n358 541\n31571 47291\n10596 15946\n84517 100000\n45132 67567\n93673 100000\n14147 21297\n15533 23348\n90684 100000\n15752 23672\n42179 63170\n71594 100000\n73579 100000\n64012 96005\n12081 18177\n65668 98494\n54619 81822\n24363 36563\n74103 100000\n2273 3438\n2779 4202\n29996 44939\n61297 91901\n77169 100000\n33648 50418\n8547 12856\n97108 100000\n90871 100000\n54727 81982\n5814 8777\n50171 75168\n68199 100000\n92444 100000\n83938 100000\n46176 69126\n16034 24077\n49469 74124\n49388 74000\n30745 46076\n72595 100000\n56734 85022\n38539 57693\n2517 3814\n68035 100000\n73256 100000\n73612 100000\n19044 28602\n64532 96795\n66301 99447\n29813 44672\n81453 100000\n29460 44145\n55898 83747\n73173 100000\n62274 93393\n44693 66917\n98554 100000\n76051 100000\n52688 78916\n10988 16544\n17167 25769\n41283 61823\n9952 14969\n27075 40590\n10930 16461\n35569 53257\n69216 100000\n74733 100000\n10189 15329\n96616 100000\n67068 100000\n15927 23925\n72772 100000\n80348 100000\n35875 53705\n4783 7223\n7809 11761\n19616 29474\n13328 20060\n90676 100000\n70243 100000\n4319 6517\n20692 31087\n37539 56194\n99013 100000\n59915 89832\n4076 6151\n74330 100000\n12104 18212\n6566 9911\n64235 96350\n94757 100000\n41534 62197\n24624 36955\n21797 32734\n57914 86803\n16921 25404\n48661 72889\n47856 71656\n74475 100000\n95311 100000\n47481 71091\n57782 86601\n70364 100000\n79336 100000\n81817 100000\n43794 65558\n99935 100000\n24801 37204\n22276 33467\n96290 100000\n5381 8122\n26607 39898\n56045 83974\n54598 81791\n94222 100000\n42054 62979\n49169 73662\n23824 35754\n22684 34066\n44805 67085\n74722 100000\n10584 15925\n73546 100000\n38149 57108\n48412 72510\n40982 61369\n94532 100000\n13668 20570\n8888 13371\n590 884\n42015 62916\n47872 71682\n79452 100000\n42658 63877\n44465 66562\n29038 43527\n70071 100000\n81464 100000\n89588 100000\n43590 65253\n26781 40151\n75743 100000\n97893 100000\n77857 100000\n81553 100000\n86224 100000\n37469 56092\n1744 2620\n52031 77931\n34584 51795\n39053 58464\n28809 43181\n5329 8042\n16539 24836\n28634 42930\n98181 100000\n41193 61686\n4067 6137\n24413 36641\n83700 100000\n16872 25328\n53074 79499\n98444 100000\n66889 100000\n39614 59282\n75968 100000\n20662 31045\n55312 82858\n45451 68042\n32589 48809\n57404 86023\n7982 12027\n38437 57546\n67305 100000\n85431 100000\n46843 70123\n60455 90638\n11012 16582\n37429 56029\n55513 83165\n30176 45211\n94586 100000\n15565 23396\n17425 26163\n87313 100000\n18666 28023\n83908 100000\n68198 100000\n79224 100000\n99603 100000\n48020 71908\n50372 75470\n27116 40650\n59712 89527\n51054 76491\n34864 52206\n73178 100000\n11940 17966\n25635 38454\n7200 10854\n41214 61719\n48974 73367\n3607 5437\n8032 12098\n25423 38139\n22662 34030\n86278 100000\n90044 100000\n90402 100000\n93812 100000\n93229 100000\n16278 24449\n80340 100000\n30421 45592\n78236 100000\n91690 100000\n33926 50825\n67470 100000\n28455 42662\n97413 100000\n46847 70129\n87891 100000\n99916 100000\n68987 100000\n68121 100000\n98380 100000\n14882 22389\n82795 100000\n86305 100000\n11439 17231\n3024 4583\n15892 23876\n49576 74278\n23343 35041\n99261 100000\n16867 25321\n63733 95588\n52716 78960\n17810 26737\n71172 100000\n22205 33358\n75154 100000\n63582 95354\n16513 24798\n8411 12656\n47283 70797\n68613 100000\n94959 100000\n86364 100000\n5590 8429\n77638 100000\n50327 75402\n55615 83320\n7768 11698\n99847 100000\n49232 73758\n75730 100000\n78657 100000\n62631 93931\n22170 33299\n81730 100000\n41031 61438\n71765 100000\n33575 50298\n92517 100000\n31634 47390\n73598 100000\n32921 49324\n66392 99577\n24541 36827\n68249 100000\n7846 11815\n2140 3234\n70852 100000\n6088 9187\n56069 84009\n25347 38024\n60393 90545\n60093 90097\n6545 9879\n43823 65598\n81689 100000\n50577 75778\n33189 49719\n8515 12809\n78749 100000\n93130 100000\n85939 100000\n50033 74969\n6408 9665\n56850 85197\n61476 92176\n49829 74663\n73105 100000\n21304 31989\n24919 37380\n19379 29124\n34014 50959\n91147 100000\n53747 80510\n71614 100000\n83521 100000\n92294 100000\n20498 30799\n2609 3955\n98295 100000\n60414 90576\n82732 100000\n14405 21675\n96925 100000\n22490 33781\n90403 100000\n65679 98511\n14692 22102\n1946 2939\n36864 55192\n81738 100000\n10257 15435\n1451 2167\n76065 100000\n79949 100000\n96568 100000\n14860 22356\n42065 62994\n49774 74576\n17705 26588\n49544 74233\n61473 92171\n86266 100000\n2223 3363\n52860 79178\n98721 100000\n32994 49427\n49635 74367\n67232 100000\n58301 87387\n31374 47006\n1804 2721\n17813 26742\n64213 96317\n43206 64693\n71087 100000\n23948 35938\n36788 55085\n38531 57682\n18465 27719\n77926 100000\n27796 41673\n11521 17354\n67639 100000\n40940 61306\n4516 6812\n46453 69548\n40217 60211\n41695 62445\n65975 98961\n28283 42410\n20592 30939\n16235 24384\n24011 36032\n75037 100000\n8484 12760\n62093 93117\n18101 27180\n7716 11621\n62125 93167\n60411 90571\n95560 100000\n72200 100000\n76569 100000\n77801 100000\n64925 97393\n43568 65224\n45366 67914\n61427 92099\n56617 84845\n3106 4702\n88343 100000\n23717 35604\n59159 88671\n33363 49982\n24880 37325\n57155 85646\n59288 88873\n44144 66076\n42596 63786\n67886 100000\n7990 12038\n78888 100000\n28599 42879\n16187 24314\n49617 74342\n45092 67512\n13324 20056\n38572 57736\n22350 33571\n14563 21905\n32136 48135\n78644 100000\n33987 50922\n94818 100000\n32905 49300\n92276 100000\n29263 43851\n15895 23880\n31437 47094\n33008 49447\n16042 24089\n50328 75403\n92560 100000\n35086 52532\n51816 77623\n49140 73619\n76173 100000\n3414 5157\n46034 68914\n90233 100000\n31745 47560\n69465 100000\n41949 62822\n58868 88232\n48511 72656\n43200 64685\n77355 100000\n62680 94007\n14573 21921\n81758 100000\n5679 8564\n72902 100000\n91941 100000\n94808 100000\n8991 13523\n61511 92229\n88950 100000\n49664 74410\n78731 100000\n13769 20713\n9251 13918\n54665 81894\n9689 14571\n70186 100000\n75584 100000\n89513 100000\n4476 6750\n97807 100000\n86530 100000\n3524 5318\n23275 34941\n20170 30299\n41506 62153\n20584 30926\n62831 94231\n36655 54895\n94892 100000\n45868 68672\n89436 100000\n68000 100000\n36892 55236\n5462 8243\n19661 29539\n9046 13596\n43042 64446\n67797 100000\n10627 15993\n17344 26037\n65038 97563\n32967 49389\n46956 70293\n15713 23614\n58113 87101\n41775 62564\n30942 46360\n7891 11884\n63382 95048\n26458 39687\n28351 42506\n22401 33651\n52426 78528\n60749 91087\n87097 100000\n33236 49792\n80235 100000\n20600 30950\n94703 100000\n75603 100000\n79690 100000\n7052 10635\n99161 100000\n85673 100000\n43520 65156\n53493 80121\n30425 45598\n72030 100000\n68445 100000\n48984 73381\n71844 100000\n23609 35441\n22741 34150\n67954 100000\n62754 94123\n70628 100000\n15440 23212\n12214 18383\n95895 100000\n70044 100000\n80617 100000\n79981 100000\n72022 100000\n29342 43969\n67362 100000\n43611 65288\n49706 74472\n93217 100000\n48856 73191\n7468 11254\n44754 67011\n30925 46335\n62435 93639\n82862 100000\n18829 28272\n66615 99921\n13306 20033\n95211 100000\n11448 17244\n34286 51368\n81255 100000\n59722 89543\n45184 67646\n79925 100000\n98005 100000\n43002 64389\n84233 100000\n86506 100000\n50849 76182\n87030 100000\n92447 100000\n25969 38959\n81430 100000\n18638 27977\n46008 68876\n44944 67294\n53142 79598\n31651 47415\n46655 69856\n54513 81667\n4643 7012\n61951 92904\n30357 45488\n65751 98625\n72131 100000\n51556 77245\n30754 46089\n80677 100000\n63992 95975\n92227 100000\n87149 100000\n32183 48205\n1135 1703\n8817 13264\n39299 58822\n11236 16934\n99539 100000\n66785 100000\n11229 16923\n60947 91365\n50556 75746\n69765 100000\n777 1163\n741 1106\n42490 63636\n36734 55011\n38747 57987\n21996 33030\n26410 39619\n4209 6352\n87234 100000\n27763 41621\n49000 73404\n62345 93494\n4364 6583\n78918 100000\n39060 58474\n10688 16089\n96841 100000\n59371 89003\n39741 59475\n92406 100000\n6055 9143\n37669 56388\n70525 100000\n44955 67310\n6933 10469\n76531 100000\n30798 46152\n3234 4893\n94315 100000\n7317 11023\n34794 52109\n81454 100000\n19096 28688\n17153 25748\n99583 100000\n30722 46042\n6913 10442\n70385 100000\n87645 100000\n47568 71221\n6110 9220\n2836 4290\n30999 46441\n13068 19671\n97030 100000\n3771 5682\n44954 67309\n57469 86122\n80098 100000\n85442 100000\n3089 4678\n81641 100000\n26684 40012\n19200 28848\n57216 85735\n82312 100000\n13821 20786\n89146 100000\n73405 100000\n16885 25349\n710 1060\n46440 69528\n42190 63187\n89020 100000\n79115 100000\n86817 100000\n49599 74314\n87904 100000\n3855 5809\n96750 100000\n52878 79205\n22001 33038\n79188 100000\n88694 100000\n1528 2288\n79605 100000\n83899 100000\n10084 15173\n50834 76162\n66824 100000\n30451 45633\n76508 100000\n24737 37118\n62157 93216\n31157 46675\n19831 29790\n39630 59307\n95743 100000\n28136 42191\n95134 100000\n19861 29838\n23161 34775\n3174 4805\n48217 72209\n92443 100000\n37451 56064\n47494 71112\n19343 29069\n63941 95905\n16084 24155\n71360 100000\n8696 13081\n30074 45059\n9312 14005\n2003 3023\n54590 81777\n26723 40066\n8120 12221\n64364 96542\n36969 55349\n17691 26569\n83296 100000\n49233 73760\n21064 31639\n72514 100000\n22882 34359\n53397 79982\n72954 100000\n40690 60922\n75995 100000\n81236 100000\n64593 96884\n89828 100000\n86775 100000\n38576 57743\n97564 100000\n23477 35243\n51946 77805\n86166 100000\n18480 27742\n14010 21080\n77720 100000\n13572 20425\n16339 24534\n70539 100000\n68243 100000\n30731 46055\n92469 100000\n40692 60925\n46376 69433\n12902 19421\n76596 100000\n86085 100000\n40210 60202\n82159 100000\n46410 69480\n55021 82417\n83053 100000\n11679 17592\n94604 100000\n6990 10555\n3639 5487\n3456 5218\n85031 100000\n48374 72452\n41921 62783\n52732 78984\n54672 81905\n40049 59961\n70207 100000\n11084 16696\n77708 100000\n39484 59094\n81566 100000\n36756 55039\n58463 87623\n63330 94971\n67732 100000\n41360 61932\n95714 100000\n83434 100000\n38501 57641\n5429 8192\n74678 100000\n29281 43879\n78148 100000\n69762 100000\n46434 69517\n35914 53761\n59732 89558\n28162 42234\n37530 56181\n3477 5249\n17009 25533\n14828 22306\n48886 73237\n90954 100000\n11457 17258\n65887 98831\n64850 97275\n66579 99870\n52458 78580\n13432 20221\n97741 100000\n84108 100000\n66078 99114\n28 41\n57679 86450\n96687 100000\n5256 7933\n94723 100000\n36394 54497\n21716 32613\n29028 43509\n49546 74236\n32737 49039\n97985 100000\n25477 38222\n66040 99054\n34963 52355\n79299 100000\n12409 18679\n47556 71203\n87815 100000\n99925 100000\n27554 41311\n25851 38790\n44749 67004\n14884 22392\n61262 91852\n48493 72631\n74520 100000\n97723 100000\n48485 72618\n929 1388\n47454 71053\n35901 53744\n37766 56537\n52376 78449\n89599 100000\n88620 100000\n43714 65440\n21991 33023\n93183 100000\n29841 44714\n5523 8335\n90173 100000\n99370 100000\n75017 100000\n79601 100000\n24887 37336\n2343 3548\n4515 6811\n48061 71972\n85864 100000\n34892 52250\n42428 63540\n80883 100000\n25900 38861\n46081 68986\n71272 100000\n75432 100000\n29231 43801\n48203 72187\n11094 16713\n3248 4910\n95461 100000\n88709 100000\n61343 91967\n24141 36229\n40659 60876\n65308 97975\n26149 39229\n93170 100000\n18104 27184\n93501 100000\n23150 34760\n46467 69569\n22341 33556\n12139 18264\n42256 63283\n82005 100000\n58120 87113\n51041 76471\n78964 100000\n69481 100000\n81486 100000\n21829 32784\n42473 63609\n73449 100000\n91350 100000\n90539 100000\n27758 41613\n84206 100000\n20882 31375\n68025 100000\n27011 40490\n15438 23209\n50217 75236\n84874 100000\n7065 10655\n27175 40738\n30724 46045\n19384 29133\n79106 100000\n84759 100000\n95230 100000\n23912 35881\n24598 36914\n44922 67263\n46870 70160\n32430 48566\n95159 100000\n11586 17450\n89241 100000\n98219 100000\n27666 41479\n46147 69083\n45909 68730\n77905 100000\n87544 100000\n7320 11028\n88144 100000\n29824 44687\n85416 100000\n17137 25721\n45400 67965\n94193 100000\n55967 83853\n93614 100000\n10192 15334\n32756 49069\n5422 8182\n74234 100000\n74060 100000\n75757 100000\n11143 16788\n26232 39357\n81625 100000\n13335 20071\n33724 50522\n47412 70992\n61124 91641\n36968 55347\n53874 80700\n58352 87457\n21329 32026\n79886 100000\n37458 56075\n87972 100000\n96405 100000\n31945 47858\n67078 100000\n87127 100000\n13831 20803\n59337 88948\n11440 17232\n92402 100000\n29161 43706\n69769 100000\n3283 4965\n9863 14840\n59042 88490\n91463 100000\n73886 100000\n59326 88930\n27719 41556\n57152 85641\n88679 100000\n70725 100000\n45182 67644\n68811 100000\n31395 47035\n7536 11359\n15375 23121\n83282 100000\n56865 85217\n85726 100000\n39150 58603\n57910 86797\n48614 72819\n33803 50638\n7518 11331\n70280 100000\n11965 18003\n53844 80658\n73280 100000\n71717 100000\n39206 58690\n77340 100000\n32550 48748\n93109 100000\n8017 12075\n53792 80583\n58197 87225\n20490 30788\n69991 100000\n70890 100000\n51907 77750\n95220 100000\n53552 80212\n95460 100000\n3730 5616\n8040 12109\n37185 55673\n84667 100000\n84011 100000\n60120 90132\n18206 27334\n32587 48805\n46365 69417\n98130 100000\n51789 77582\n91833 100000\n90647 100000\n20231 30397\n90145 100000\n8563 12883\n57240 85772\n28453 42659\n88676 100000\n2395 3630\n81312 100000\n18943 28450\n82778 100000\n39560 59203\n9814 14763\n1671 2507\n91595 100000\n84446 100000\n32906 49302\n98612 100000\n667 996\n84656 100000\n30290 45391\n83093 100000\n82087 100000\n61038 91506\n41851 62690\n84639 100000\n24601 36918\n54982 82358\n19312 29018\n84278 100000\n45441 68030\n11227 16920\n6733 10170\n29964 44888\n35989 53878\n20993 31531\n71854 100000\n61495 92204\n96220 100000\n1343 2006\n63030 94527\n22068 33144\n15256 22941\n13468 20267\n51966 77836\n33118 49611\n40177 60154\n91848 100000\n71769 100000\n92180 100000\n42128 63088\n57520 86206\n40363 60430\n7227 10896\n99923 100000\n90384 100000\n45421 67997\n68773 100000\n29389 44038\n80001 100000\n39870 59685\n99962 100000\n57136 85618\n93429 100000\n31783 47616\n27643 41445\n77592 100000\n72611 100000\n35384 52968\n47870 71678\n61885 92795\n86295 100000\n88920 100000\n2763 4181\n13214 19890\n97143 100000\n11350 17102\n29395 44048\n5303 8004\n38081 57007\n25465 38205\n89311 100000\n76511 100000\n7138 10760\n16075 24141\n95401 100000\n34301 51393\n69097 100000\n44459 66554\n74038 100000\n97698 100000\n51245 76781\n58910 88296\n76092 100000\n91488 100000\n15550 23374\n40139 60095\n32258 48318\n68268 100000\n44192 66149\n78164 100000\n65362 98053\n61893 92808\n34975 52370\n14462 21754\n97079 100000\n30010 44962\n65747 98618\n87558 100000\n87411 100000\n98069 100000\n86073 100000\n64459 96679\n35862 53682\n22543 33859\n64813 97221\n76514 100000\n43420 65013\n11347 17098\n52622 78823\n77455 100000\n64030 96032\n11093 16711\n80227 100000\n46528 69668\n73184 100000\n64296 96442\n66491 99735\n95702 100000\n92097 100000\n57449 86092\n38172 57144\n59201 88734\n83361 100000\n60237 90306\n61565 92315\n91958 100000\n58281 87353\n34978 52375\n9992 15030\n56439 84567\n27507 41243\n40682 60910\n20220 30381\n19037 28591\n249 375\n85017 100000\n86360 100000\n6247 9422\n34502 51686\n98327 100000\n38532 57683\n35181 52665\n7438 11205\n92759 100000\n3048 4620\n73397 100000\n18789 28208\n41046 61460\n88826 100000\n6041 9123\n21386 32117\n90316 100000\n13789 20739\n41465 62096\n5551 8373\n50193 75199\n13791 20742\n27900 41824\n69264 100000\n51437 77068\n47958 71812\n97740 100000\n13621 20499\n38365 57439\n95178 100000\n27486 41213\n31266 46847\n95662 100000\n92141 100000\n43330 64881\n58292 87372\n49340 73919\n70755 100000\n33452 50115\n40844 61153\n99933 100000\n29600 44359\n77096 100000\n4467 6738\n30891 46285\n94208 100000\n97866 100000\n8173 12299\n2938 4447\n22178 33312\n42968 64343\n10365 15598\n78401 100000\n73707 100000\n59547 89276\n53301 79835\n42299 63348\n7254 10933\n87502 100000\n29469 44158\n55199 82689\n68673 100000\n51617 77332\n61247 91828\n92607 100000\n30350 45478\n8022 12081\n45011 67388\n29954 44874\n30884 46274\n85800 100000\n96832 100000\n52880 79208\n51297 76861\n16518 24807\n42095 63040\n89114 100000\n40181 60160\n30831 46198\n17295 25960\n90455 100000\n56073 84016\n58294 87374\n46052 68940\n76365 100000\n49470 74126\n45282 67792\n14134 21276\n50335 75415\n2608 3953\n69707 100000\n14732 22162\n31972 47900\n2445 3711\n17188 25798\n29641 44414\n60665 90959\n55533 83195\n72116 100000\n21417 32165\n37373 55948\n31361 46986\n95747 100000\n26171 39264\n79625 100000\n10039 15103\n986 1478\n47792 71555\n22273 33463\n49742 74530\n24703 37072\n32039 47993\n54294 81338\n43838 65623\n75719 100000\n40311 60346\n84469 100000\n42500 63651\n89191 100000\n32551 48750\n80895 100000\n71000 100000\n77830 100000\n94273 100000\n50629 75853\n82272 100000\n50469 75606\n88692 100000\n86137 100000\n41159 61633\n67699 100000\n97707 100000\n86434 100000\n63695 95530\n8655 13020\n26767 40132\n1206 1805\n24646 36984\n80489 100000\n34285 51367\n72793 100000\n51566 77262\n50648 75883\n77865 100000\n7864 11841\n42414 63521\n7603 11453\n88123 100000\n90498 100000\n64643 96958\n98806 100000\n39677 59377\n47919 71752\n64521 96775\n84483 100000\n37194 55687\n49298 73853\n87382 100000\n83790 100000\n17148 25739\n67687 100000\n57217 85736\n27248 40850\n52497 78638\n46828 70106\n93305 100000\n98398 100000\n16326 24517\n94152 100000\n12040 18117\n25844 38779\n82773 100000\n88482 100000\n88579 100000\n67 98\n90600 100000\n86161 100000\n37498 56134\n7853 11822\n22234 33403\n6537 9869\n55731 83497\n22165 33293\n63718 95565\n57790 86612\n8842 13300\n65378 98073\n86476 100000\n99551 100000\n55728 83493\n72321 100000\n22183 33321\n59113 88601\n21260 31930\n38645 57838\n36131 54094\n49593 74304\n75306 100000\n28078 42099\n33980 50910\n69429 100000\n16239 24390\n25494 38243\n19931 29950\n53288 79818\n13050 19643\n54134 81096\n4085 6166\n8656 13021\n19621 29482\n5597 8439\n58091 87072\n7055 10640\n89125 100000\n95253 100000\n22651 34015\n49430 74068\n97813 100000\n24493 36759\n47353 70905\n95517 100000\n61788 92650\n99889 100000\n95769 100000\n18185 27301\n62907 94346\n26985 40450\n15064 22660\n62667 93986\n7752 11677\n27461 41176\n69752 100000\n31665 47436\n70180 100000\n13903 20917\n2270 3435\n3546 5351\n57861 86718\n79034 100000\n64116 96165\n41085 61519\n72703 100000\n63763 95636\n78416 100000\n57756 86567\n72633 100000\n43948 65780\n81915 100000\n32528 48716\n82859 100000\n59795 89651\n15105 22719\n60171 90210\n3090 4679\n92655 100000\n98567 100000\n28275 42397\n24841 37262\n5419 8178\n37970 56840\n95115 100000\n18259 27414\n87479 100000\n30428 45602\n71555 100000\n31661 47430\n61451 92133\n76681 100000\n9035 13581\n62408 93594\n56692 84958\n47847 71644\n88663 100000\n80448 100000\n409 615\n89134 100000\n61323 91939\n35471 53101\n86158 100000\n50008 74929\n68600 100000\n93529 100000\n19413 29175\n91979 100000\n34419 51565\n60236 90304\n20508 30815\n19763 29682\n32862 49230\n50231 75256\n87931 100000\n14572 21920\n19731 29638\n88744 100000\n6514 9832\n10452 15726\n94292 100000\n27937 41881\n35721 53474\n24968 37453\n26791 40168\n62488 93719\n36106 54053\n99434 100000\n12806 19275\n19657 29532\n38771 58026\n93511 100000\n13971 21021\n16625 24953\n89867 100000\n97702 100000\n73000 100000\n91707 100000\n16604 24926\n1706 2561\n61918 92847\n55065 82482\n68723 100000\n8383 12615\n95581 100000\n89934 100000\n55607 83305\n20551 30878\n48916 73283\n94241 100000\n73209 100000\n38350 57415\n20854 31333\n83650 100000\n50043 74984\n30615 45883\n72363 100000\n46930 70251\n10129 15242\n89070 100000\n22392 33636\n46945 70274\n10332 15547\n827 1237\n32542 48735\n59306 88902\n62177 93244\n32877 49255\n32347 48447\n64447 96663\n62587 93864\n11013 16583\n92111 100000\n73278 100000\n52567 78745\n65222 97846\n23230 34875\n88039 100000\n62735 94095\n61126 91643\n48604 72802\n2109 3185\n82648 100000\n20327 30539\n36383 54482\n68452 100000\n21840 32803\n32022 47971\n13479 20285\n32098 48081\n32632 48877\n52223 78218\n59814 89678\n98164 100000\n10076 15159\n70118 100000\n67275 100000\n89179 100000\n81414 100000\n15322 23038\n63642 95447\n86447 100000\n24181 36288\n29731 44546\n76054 100000\n78045 100000\n20123 30231\n65918 98880\n40976 61358\n23526 35320\n20414 30675\n8004 12057\n6349 9576\n40558 60728\n35074 52516\n8060 12139\n80046 100000\n60702 91012\n43764 65519\n83036 100000\n34121 51122\n31070 46543\n79349 100000\n63444 95136\n98464 100000\n26393 39592\n79492 100000\n50872 76215\n5351 8076\n32576 48789\n73843 100000\n21746 32656\n56518 84687\n72205 100000\n58762 88077\n78837 100000\n94819 100000\n51355 76949\n38826 58115\n45569 68222\n40550 60715\n97060 100000\n86777 100000\n13074 19679\n13215 19892\n54980 82355\n52340 78399\n464 694\n20542 30865\n12658 19055\n32850 49212\n75641 100000\n40294 60320\n92426 100000\n62159 93218\n77650 100000\n80254 100000\n68492 100000\n13209 19882\n14256 21455\n20252 30429\n76461 100000\n33222 49771\n87244 100000\n94106 100000\n14313 21543\n33502 50194\n19318 29026\n38941 58289\n51086 76537\n56914 85288\n51114 76583\n29277 43873\n96134 100000\n34111 51110\n48044 71945\n1242 1861\n61684 92491\n88414 100000\n35553 53231\n73359 100000\n923 1378\n12213 18381\n45872 68679\n21836 32797\n44467 66566\n62136 93180\n31771 47595\n17788 26705\n48340 72397\n90033 100000\n76156 100000\n49126 73598\n2084 3151\n70863 100000\n61067 91553\n56193 84200\n42514 63669\n54968 82337\n49874 74731\n82232 100000\n36015 53919\n46977 70326\n47869 71676\n72987 100000\n14473 21770\n4584 6922\n61540 92274\n96357 100000\n72811 100000\n45036 67425\n83827 100000\n43963 65803\n3252 4917\n58524 87714\n43745 65490\n96374 100000\n16744 25129\n71141 100000\n59128 88623\n68852 100000\n98593 100000\n46832 70111\n12111 18223\n45501 68120\n88022 100000\n42587 63773\n79002 100000\n84244 100000\n92906 100000\n52839 79148\n62432 93634\n83317 100000\n24883 37330\n54949 82313\n6810 10288\n9299 13987\n54551 81722\n70363 100000\n74579 100000\n4433 6690\n48988 73387\n51460 77104\n78564 100000\n40900 61246\n72934 100000\n22706 34099\n61467 92160\n78881 100000\n32246 48301\n6191 9345\n59076 88542\n40193 60177\n25601 38409\n9336 14044\n17834 26776\n58639 87880\n48768 73057\n71965 100000\n51249 76786\n92797 100000\n14708 22128\n30644 45928\n16286 24461\n42024 62930\n17369 26077\n16377 24591\n50970 76365\n43298 64835\n27846 41746\n24916 37376\n56468 84611\n48877 73224\n4654 7030\n97789 100000\n91078 100000\n13477 20281\n22048 33113\n54586 81772\n62343 93491\n95392 100000\n68557 100000\n19959 29988\n70604 100000\n92367 100000\n67892 100000\n62897 94333\n72318 100000\n98606 100000\n29087 43600\n87102 100000\n12677 19083\n87236 100000\n52532 78695\n92226 100000\n28801 43170\n31324 46928\n4948 7475\n23483 35253\n55860 83691\n56535 84715\n98326 100000\n7203 10858\n66692 100000\n21722 32620\n62290 93419\n659 983\n19278 28968\n72626 100000\n67925 100000\n21172 31802\n41433 62046\n89263 100000\n18871 28338\n12910 19434\n37487 56119\n19154 28777\n67421 100000\n58767 88085\n59002 88430\n30490 45690\n47832 71619\n59313 88912\n41127 61583\n90964 100000\n99946 100000\n20012 30068\n53394 79978\n29260 43846\n3151 4773\n74 109\n43242 64749\n72470 100000\n52155 78110\n29859 44739\n86414 100000\n35898 53740\n59631 89402\n85211 100000\n10972 16519\n515 767\n24452 36701\n2747 4161\n89135 100000\n59744 89578\n57245 85780\n46531 69673\n97841 100000\n48649 72871\n29499 44202\n54037 80954\n96657 100000\n47404 70980\n70589 100000\n38626 57815\n94075 100000\n86249 100000\n87176 100000\n64394 96585\n25345 38021\n80689 100000\n49691 74449\n15424 23191\n36521 54694\n64458 96678\n99059 100000\n25127 37695\n69856 100000\n97801 100000\n76089 100000\n396 599\n20291 30482\n75881 100000\n60631 90907\n14262 21463\n10588 15933\n44983 67348\n95518 100000\n503 749\n72516 100000\n88131 100000\n39836 59633\n80819 100000\n33256 49823\n90169 100000\n75859 100000\n83039 100000\n94900 100000\n64804 97206\n97003 100000\n72815 100000\n16494 24770\n1203 1801\n89038 100000\n99829 100000\n95440 100000\n19567 29397\n52188 78163\n39189 58665\n97958 100000\n41822 62642\n31029 46486\n94856 100000\n18916 28407\n79161 100000\n92274 100000\n64613 96918\n90218 100000\n11672 17581\n84368 100000\n40504 60642\n41281 61820\n96377 100000\n68786 100000\n31546 47255\n46405 69473\n76552 100000\n21568 32392\n87464 100000\n90540 100000\n56141 84120\n71530 100000\n19907 29911\n63970 95944\n56222 84242\n65414 98128\n9305 13994\n51153 76642\n53383 79962\n18473 27730\n52600 78792\n27708 41541\n35438 53056\n51877 77706\n6706 10128\n15593 23436\n81241 100000\n67020 100000\n15408 23169\n61088 91586\n54919 82268\n50579 75782\n17804 26728\n18139 27236\n44091 65990\n53922 80775\n23902 35867\n94211 100000\n59335 88944\n88189 100000\n82165 100000\n7031 10610\n10198 15342\n47778 71535\n34511 51698\n54569 81750\n23492 35265\n11489 17304\n40248 60256\n6441 9717\n13054 19650\n91500 100000\n76675 100000\n47055 70450\n64979 97474\n99503 100000\n69672 100000\n38558 57717\n83083 100000\n36834 55149\n47145 70582\n6279 9471\n83217 100000\n61587 92347\n19578 29414\n65583 98370\n71621 100000\n35390 52979\n36227 54242\n39921 59762\n93155 100000\n94984 100000\n48655 72880\n99147 100000\n97047 100000\n45845 68636\n81606 100000\n12053 18139\n64729 97088\n24562 36857\n7763 11690\n67482 100000\n64541 96807\n98765 100000\n79244 100000\n56259 84297\n83352 100000\n56479 84626\n52009 77897\n30591 45848\n52988 79366\n11328 17073\n19960 29990\n19431 29199\n26989 40454\n36698 54956\n39536 59168\n76470 100000\n11208 16889\n17655 26515\n3644 5493\n23975 35978\n7821 11778\n29674 44458\n32165 48177\n85055 100000\n53423 80018\n91773 100000\n5773 8710\n4000 6028\n31126 46629\n13091 19701\n76601 100000\n61217 91780\n65666 98490\n44256 66249\n22591 33929\n7470 11257\n45771 68522\n60811 91170\n21494 32281\n42453 63578\n26004 39007\n93213 100000\n1102 1654\n20930 31447\n28891 43309\n93815 100000\n63285 94909\n46506 69632\n79062 100000\n88297 100000\n55505 83154\n63902 95847\n75357 100000\n96763 100000\n10499 15796\n11112 16740\n9113 13696\n92179 100000\n18602 27923\n67609 100000\n57654 86411\n17325 26006\n12620 19000\n79296 100000\n88072 100000\n76801 100000\n43268 64790\n12440 18726\n20159 30283\n53241 79743\n63113 94651\n54169 81149\n52919 79267\n29195 43747\n20864 31348\n52568 78747\n26237 39365\n67805 100000\n20932 31449\n51651 77378\n30784 46131\n18547 27845\n52089 78019\n77582 100000\n59296 88884\n95168 100000\n47852 71651\n37410 56002\n83011 100000\n39433 59024\n62772 94147\n45886 68697\n32530 48718\n47379 70945\n2059 3109\n77914 100000\n10528 15838\n38311 57352\n36684 54937\n81218 100000\n14241 21432\n77637 100000\n91138 100000\n53986 80874\n45096 67519\n71182 100000\n27530 41276\n9225 13878\n53841 80654\n43971 65815\n8574 12901\n13308 20035\n65600 98396\n33936 50838\n2510 3802\n12230 18406\n54121 81079\n50353 75440\n41417 62022\n51611 77324\n16134 24229\n98362 100000\n30544 45771\n22826 34276\n49175 73673\n61071 91558\n2308 3492\n31351 46970\n80048 100000\n3409 5150\n36353 54436\n70290 100000\n25868 38814\n1905 2877\n4298 6488\n15774 23703\n26893 40318\n8799 13237\n7769 11699\n8043 12113\n42361 63445\n13439 20232\n47105 70522\n97323 100000\n71386 100000\n39617 59287\n47585 71248\n4082 6162\n44196 66155\n76889 100000\n77855 100000\n75544 100000\n80013 100000\n97790 100000\n38820 58105\n86998 100000\n21042 31604\n84637 100000\n98702 100000\n25328 37992\n33709 50503\n18367 27577\n68389 100000\n89067 100000\n3759 5661\n40298 60327\n75359 100000\n7643 11516\n89302 100000\n58822 88163\n15758 23681\n34488 51663\n19292 28991\n52277 78299\n71468 100000\n10139 15256\n21189 31824\n15578 23415\n84850 100000\n43705 65427\n20458 30744\n98482 100000\n45518 68147\n60244 90317\n87804 100000\n16460 24714\n84741 100000\n69621 100000\n71417 100000\n64034 96038\n54575 81758\n82439 100000\n94478 100000\n98234 100000\n26927 40366\n95508 100000\n87878 100000\n84547 100000\n87462 100000\n25975 38968\n94370 100000\n24062 36105\n96284 100000\n9493 14276\n3450 5210\n98891 100000\n95535 100000\n96721 100000\n73577 100000\n74455 100000\n84490 100000\n63848 95770\n82655 100000\n44428 66507\n39406 58985\n92556 100000\n23877 35830\n79749 100000\n13652 20547\n3503 5289\n60581 90828\n65278 97931\n81336 100000\n21780 32710\n5286 7978\n50292 75348\n61153 91684\n48624 72834\n89458 100000\n42627 63830\n80873 100000\n17005 25528\n44496 66609\n4041 6094\n38608 57791\n43108 64549\n83448 100000\n82386 100000\n26894 40320\n12950 19497\n73445 100000\n26912 40348\n29091 43606\n79082 100000\n96165 100000\n83794 100000\n98815 100000\n31102 46592\n57959 86871\n12736 19171\n30347 45474\n63105 94637\n43674 65380\n28163 42235\n16434 24677\n4821 7282\n16800 25223\n20249 30425\n23234 34881\n96611 100000\n96643 100000\n28857 43258\n19190 28832\n87801 100000\n77748 100000\n66713 100000\n73753 100000\n1605 2403\n16201 24331\n25761 38650\n21119 31722\n56928 85310\n18141 27240\n16005 24037\n64025 96025\n79830 100000\n44976 67339\n94439 100000\n15503 23305\n60492 90698\n82237 100000\n82914 100000\n47029 70408\n5948 8988\n27489 41217\n58849 88204\n82901 100000\n15956 23966\n63565 95328\n65372 98064\n75423 100000\n6350 9578\n75574 100000\n47636 71323\n73019 100000\n50854 76191\n15156 22795\n36985 55371\n5172 7810\n74338 100000\n77137 100000\n67578 100000\n47815 71593\n33348 49960\n86294 100000\n58175 87197\n12600 18969\n86316 100000\n13042 19631\n29569 44311\n72234 100000\n19227 28892\n36939 55304\n72074 100000\n71109 100000\n34690 51949\n69023 100000\n93380 100000\n58810 88145\n14932 22466\n98876 100000\n45286 67797\n50704 75968\n84780 100000\n75870 100000\n40645 60855\n46223 69200\n38933 58275\n20143 30259\n60808 91165\n21839 32802\n99242 100000\n11994 18048\n46883 70183\n43319 64863\n35902 53746\n74214 100000\n91513 100000\n58943 88341\n70984 100000\n27291 40914\n47809 71582\n31552 47264\n6961 10513\n39146 58599\n99139 100000\n62905 94343\n79880 100000\n10211 15360\n62121 93162\n16923 25407\n53609 80299\n46172 69119\n96396 100000\n95541 100000\n11832 17818\n32305 48386\n16006 24038\n62590 93869\n91280 100000\n97626 100000\n51442 77078\n95504 100000\n26979 40441\n77392 100000\n82905 100000\n70550 100000\n96212 100000\n89342 100000\n61832 92713\n61212 91774\n5991 9052\n53223 79712\n63293 94921\n64122 96174\n57787 86607\n70339 100000\n44125 66047\n70242 100000\n38918 58254\n20330 30544\n40305 60337\n9200 13837\n23106 34693\n31852 47716\n98161 100000\n4897 7396\n71593 100000\n11947 17975\n76454 100000\n48924 73292\n70933 100000\n65555 98332\n69401 100000\n83045 100000\n7106 10713\n54308 81356\n82140 100000\n38942 58291\n53323 79868\n1318 1970\n30179 45217\n9545 14354\n56335 84409\n49551 74242\n76392 100000\n47902 71730\n26229 39352\n81611 100000\n67881 100000\n43425 65020\n31462 47131\n51216 76737\n55604 83301\n31858 47728\n75746 100000\n31532 47234\n60099 90103\n13983 21041\n42805 64099\n31739 47551\n5652 8522\n79801 100000\n89935 100000\n89598 100000\n66851 100000\n28149 42211\n61268 91859\n98910 100000\n65530 98295\n83506 100000\n91467 100000\n51773 77558\n50380 75482\n81322 100000\n16559 24865\n42934 64288\n36644 54877\n75052 100000\n7115 10724\n39974 59842\n26061 39095\n39101 58531\n80435 100000\n94044 100000\n28122 42172\n35435 53052\n2232 3377\n85429 100000\n56115 84082\n96858 100000\n19822 29775\n75023 100000\n98998 100000\n14283 21493\n16758 25152\n73086 100000\n85983 100000\n87794 100000\n81208 100000\n91727 100000\n44973 67335\n86953 100000\n62776 94152\n79191 100000\n94589 100000\n16369 24579\n35597 53295\n15760 23683\n97055 100000\n83257 100000\n96275 100000\n55346 82913\n72482 100000\n19135 28746\n35326 52883\n86740 100000\n7683 11572\n42136 63099\n87813 100000\n90066 100000\n39632 59309\n44599 66763\n1106 1659\n13887 20892\n34044 51005\n93018 100000\n8002 12055\n26882 40302\n46045 68929\n16916 25395\n90313 100000\n99874 100000\n27421 41115\n46095 69009\n54985 82362\n5962 9010\n15378 23124\n62966 94436\n54989 82368\n43348 64908\n81665 100000\n30293 45396\n61939 92882\n15897 23883\n66307 99457\n79156 100000\n81528 100000\n93633 100000\n60558 90793\n96432 100000\n61233 91805\n3298 4987\n21961 32985\n26211 39323\n79921 100000\n49425 74061\n13197 19863\n40987 61376\n89819 100000\n5292 7987\n46943 70270\n5721 8625\n56817 85146\n49385 73996\n11733 17668\n81767 100000\n10761 16203\n93677 100000\n65064 97603\n3838 5784\n40809 61100\n80196 100000\n17406 26133\n52456 78576\n99951 100000\n9358 14076\n9293 13976\n58464 87625\n8090 12181\n19550 29370\n41862 62705\n6005 9073\n50547 75731\n3052 4625\n527 786\n52222 78216\n1957 2955\n64234 96348\n16781 25190\n86026 100000\n56952 85347\n60673 90972\n88251 100000\n7013 10588\n38171 57142\n96254 100000\n43251 64767\n50750 76038\n25720 38587\n61494 92202\n26565 39840\n33628 50389\n89665 100000\n12442 18729\n44151 66087\n7166 10801\n23896 35857\n17670 26538\n27561 41324\n98800 100000\n31471 47144\n79342 100000\n39593 59252\n69169 100000\n93535 100000\n62223 93314\n91904 100000\n18881 28354\n26322 39487\n63707 95547\n72646 100000\n8594 12934\n33716 50512\n49594 74306\n22187 33328\n33759 50574\n97271 100000\n39309 58836\n39669 59364\n95271 100000\n60653 90941\n97884 100000\n39594 59254\n2487 3770\n3403 5142\n79975 100000\n46882 70181\n37468 56090\n924 1380\n79412 100000\n21371 32095\n81516 100000\n31300 46893\n70748 100000\n58620 87852\n26399 39601\n35238 52753\n22063 33136\n71532 100000\n76058 100000\n82129 100000\n7442 11211\n57673 86440\n32650 48903\n51300 76864\n5808 8768\n79783 100000\n36744 55023\n41386 61973\n49852 74696\n51452 77094\n56866 85219\n9648 14507\n94932 100000\n90056 100000\n43865 65659\n53685 80414\n76171 100000\n88745 100000\n70857 100000\n54742 82008\n42913 64258\n47285 70799\n7387 11129\n18491 27758\n97217 100000\n17377 26088\n28628 42921\n81126 100000\n22055 33125\n5244 7917\n56123 84093\n51645 77370\n62144 93194\n69029 100000\n47082 70485\n50888 76238\n12363 18610\n34025 50977\n72286 100000\n46650 69847\n69787 100000\n83971 100000\n87542 100000\n93203 100000\n49021 73434\n34094 51084\n95586 100000\n34820 52145\n97032 100000\n46598 69776\n91238 100000\n55225 82725\n3250 4913\n57815 86650\n71198 100000\n31415 47064\n25522 38285\n12007 18065\n57010 85439\n74486 100000\n69026 100000\n61911 92835\n73964 100000\n79267 100000\n49326 73897\n85828 100000\n76732 100000\n83580 100000\n74510 100000\n90123 100000\n30647 45932\n7652 11529\n52030 77930\n69857 100000\n50605 75818\n86306 100000\n49655 74397\n22926 34426\n6874 10384\n95393 100000\n33311 49905\n38299 57333\n3643 5492\n42405 63509\n69785 100000\n70774 100000\n23602 35432\n65349 98034\n70409 100000\n54998 82381\n18236 27380\n34958 52345\n2770 4190\n9512 14304\n88444 100000\n69870 100000\n68605 100000\n30517 45729\n6707 10130\n54380 81462\n23650 35499\n10374 15612\n30996 46437\n93024 100000\n54921 82272\n58101 87085\n7819 11776\n56304 84361\n84575 100000\n21338 32040\n75097 100000\n95750 100000\n3924 5912\n66186 99273\n70348 100000\n52574 78755\n77436 100000\n3583 5402\n64830 97247\n27607 41390\n86600 100000\n7312 11018\n32796 49130\n64043 96054\n21504 32293\n39095 58522\n55423 83032\n87440 100000\n52399 78483\n14589 21942\n92726 100000\n83308 100000\n2437 3699\n12059 18147\n64081 96114\n24713 37084\n76370 100000\n8820 13268\n42262 63292\n16985 25497\n36509 54675\n52078 78002\n36677 54927\n55363 82937\n48487 72620\n68354 100000\n215 321\n5743 8659\n53802 80597\n27775 41638\n84318 100000\n5162 7796\n50917 76284\n92208 100000\n54285 81325\n11098 16720\n86148 100000\n70415 100000\n86033 100000\n24790 37190\n69403 100000\n41475 62111\n67747 100000\n9329 14031\n33847 50707\n46477 69585\n53420 80014\n93579 100000\n29243 43818\n21425 32177\n57290 85854\n57553 86261\n79846 100000\n46705 69934\n48285 72312\n58335 87436\n47304 70830\n99557 100000\n8824 13275\n47774 71527\n89018 100000\n17346 26040\n6916 10445\n39359 58912\n69326 100000\n12339 18571\n54158 81134\n90302 100000\n35478 53113\n42524 63683\n28330 42475\n82297 100000\n87216 100000\n95633 100000\n86522 100000\n51632 77352\n71975 100000\n1911 2889\n9537 14341\n7263 10947\n19194 28839\n27365 41033\n7592 11438\n17564 26370\n35669 53401\n94798 100000\n29911 44815\n90601 100000\n21968 32993\n75519 100000\n71537 100000\n31799 47639\n57114 85586\n71931 100000\n2542 3854\n15025 22606\n16207 24340\n83354 100000\n80328 100000\n83667 100000\n36600 54809\n25237 37859\n32203 48233\n69277 100000\n36952 55319\n37143 55611\n54956 82321\n78033 100000\n41217 61724\n80626 100000\n36596 54804\n51999 77882\n41014 61414\n88540 100000\n13985 21043\n83897 100000\n37974 56845\n54713 81962\n85765 100000\n84938 100000\n91414 100000\n86715 100000\n4419 6669\n61920 92850\n46431 69513\n66044 99060\n19452 29230\n25521 38284\n83156 100000\n68107 100000\n75165 100000\n23021 34566\n56337 84413\n80344 100000\n85192 100000\n25403 38104\n89977 100000\n14095 21222\n59504 89209\n13433 20222\n11825 17809\n51839 77657\n44103 66008\n79636 100000\n49883 74746\n12540 18882\n39447 59042\n66520 99778\n37878 56697\n50075 75030\n50123 75098\n55721 83480\n13147 19788\n64843 97266\n79991 100000\n7695 11590\n39801 59573\n3121 4725\n31916 47817\n51969 77840\n36555 54743\n77486 100000\n14328 21563\n17056 25600\n25610 38420\n59018 88453\n89261 100000\n39237 58731\n95453 100000\n37356 55922\n26864 40275\n66151 99223\n43598 65266\n53317 79858\n72111 100000\n6523 9846\n34600 51821\n64714 97066\n29411 44072\n8355 12576\n60468 90660\n89442 100000\n9879 14865\n14382 21644\n32265 48327\n4933 7450\n8643 13002\n71520 100000\n89944 100000\n40914 61269\n71995 100000\n82360 100000\n1742 2616\n66654 99981\n66804 100000\n78230 100000\n51116 76585\n53322 79866\n60574 90817\n4726 7135\n23642 35488\n21430 32184\n65567 98350\n52321 78372\n82829 100000\n19237 28908\n22137 33250\n69065 100000\n79437 100000\n1322 1976\n77078 100000\n31814 47662\n44737 66986\n75506 100000\n86650 100000\n94902 100000\n15150 22786\n91108 100000\n34026 50978\n49254 73787\n6106 9214\n31581 47305\n79701 100000\n68388 100000\n51222 76747\n19830 29788\n13804 20762\n60521 90742\n91709 100000\n96054 100000\n5209 7865\n61050 91524\n97762 100000\n93378 100000\n78453 100000\n90332 100000\n63440 95129\n83639 100000\n62387 93558\n36820 55129\n49520 74201\n23207 34845\n99850 100000\n51165 76661\n8843 13302\n900 1337\n77168 100000\n61709 92527\n51279 76832\n49644 74380\n44894 67220\n24836 37256\n85070 100000\n12824 19301\n23502 35281\n33373 49998\n37779 56557\n26006 39011\n43339 64894\n51232 76761\n32620 48860\n75814 100000\n35106 52563\n95700 100000\n61092 91593\n97708 100000\n90338 100000\n55701 83449\n38115 57059\n61577 92333\n21875 32855\n51873 77701\n8008 12062\n7547 11376\n51891 77728\n83915 100000\n90085 100000\n67542 100000\n59999 89956\n17489 26259\n96585 100000\n36615 54831\n83073 100000\n7645 11518\n11515 17344\n62198 93275\n35894 53732\n82920 100000\n24061 36103\n51264 76808\n57785 86605\n49789 74600\n26660 39970\n40948 61317\n96359 100000\n69189 100000\n19595 29442\n64028 96030\n76415 100000\n42308 63360\n25921 38891\n26753 40110\n80734 100000\n61986 92958\n58075 87048\n63636 95437\n10239 15408\n7064 10654\n58850 88206\n37221 55725\n91768 100000\n6795 10264\n59924 89845\n92785 100000\n41244 61768\n99073 100000\n85523 100000\n17004 25527\n18929 28427\n38595 57772\n97334 100000\n5864 8856\n17173 25778\n25039 37564\n77411 100000\n59487 89182\n84777 100000\n11545 17389\n16397 24621\n41277 61815\n35048 52478\n65659 98481\n72320 100000\n67823 100000\n37792 56577\n96025 100000\n50048 74991\n13483 20290\n71752 100000\n80350 100000\n92703 100000\n16137 24234\n50935 76314\n72956 100000\n39176 58646\n64293 96437\n47647 71340\n1527 2286\n75531 100000\n48980 73376\n92129 100000\n56629 84864\n67671 100000\n6924 10457\n10929 16460\n52385 78462\n73279 100000\n44890 67215\n68661 100000\n91145 100000\n18437 27677\n35444 53063\n16211 24346\n28934 43373\n44669 66880\n69531 100000\n43634 65327\n25307 37960\n26568 39845\n18731 28114\n43302 64841\n47550 71195\n96356 100000\n86049 100000\n93854 100000\n4352 6568\n8891 13374\n69727 100000\n37094 55537\n50646 75880\n79353 100000\n39691 59400\n80050 100000\n64958 97442\n37499 56136\n69452 100000\n37295 55839\n10571 15906\n18510 27787\n609 911\n7656 11533\n75003 100000\n37312 55862\n34363 51483\n77111 100000\n73552 100000\n96380 100000\n2281 3451\n97863 100000\n17109 25677\n26926 40364\n60795 91147\n79614 100000\n70829 100000\n19857 29831\n15954 23964\n32226 48269\n62724 94078\n13235 19922\n13476 20279\n16148 24248\n14307 21531\n22010 33053\n97360 100000\n20624 30984\n17304 25972\n46695 69917\n68175 100000\n94831 100000\n18471 27727\n60281 90375\n98665 100000\n3161 4786\n85093 100000\n65822 98730\n81084 100000\n65495 98244\n57025 85459\n20933 31450\n32286 48359\n32129 48125\n22876 34349\n14954 22504\n43239 64745\n20059 30134\n49985 74897\n33326 49926\n16155 24261\n76130 100000\n55973 83861\n90830 100000\n97380 100000\n21433 32189\n41938 62805\n8927 13423\n27635 41431\n86936 100000\n11646 17540\n38547 57704\n7725 11635\n759 1134\n6491 9795\n85895 100000\n59373 89006\n98986 100000\n10749 16182\n73808 100000\n76657 100000\n51694 77443\n75769 100000\n40879 61211\n72675 100000\n80780 100000\n30226 45290\n46179 69130\n42161 63137\n45404 67970\n79875 100000\n18113 27200\n34654 51897\n34888 52245\n83602 100000\n38628 57818\n76843 100000\n91790 100000\n21607 32451\n27490 41219\n9674 14547\n36854 55177\n26588 39872\n86719 100000\n16548 24852\n77723 100000\n86562 100000\n51094 76551\n77586 100000\n32062 48026\n66462 99687\n10444 15717\n70234 100000\n24040 36074\n38709 57933\n26811 40195\n59357 88980\n49268 73808\n94499 100000\n69740 100000\n29416 44081\n39800 59571\n84621 100000\n95901 100000\n13025 19606\n55561 83239\n44564 66710\n95155 100000\n57339 85930\n51482 77137\n69579 100000\n43411 64998\n91411 100000\n16785 25198\n77846 100000\n57070 85526\n70123 100000\n71534 100000\n93635 100000\n67411 100000\n56755 85051\n79903 100000\n53602 80289\n18659 28012\n43136 64588\n1366 2042\n20135 30245\n98282 100000\n6368 9605\n53170 79636\n87093 100000\n20044 30111\n89635 100000\n33431 50087\n81095 100000\n27417 41108\n42380 63474\n43067 64488\n10203 15348\n13378 20140\n10881 16381\n48840 73167\n54576 81759\n25781 38681\n7737 11654\n47468 71073\n55389 82978\n44099 66002\n53349 79908\n59111 88597\n42786 64070\n97376 100000\n3190 4830\n84886 100000\n41348 61916\n11348 17099\n83723 100000\n63958 95927\n69975 100000\n77110 100000\n68419 100000\n82282 100000\n28878 43289\n53637 80339\n49941 74828\n37303 55851\n83076 100000\n96549 100000\n96877 100000\n91301 100000\n16001 24032\n67855 100000\n81955 100000\n90205 100000\n82961 100000\n13708 20627\n60866 91246\n93502 100000\n45504 68124\n52052 77963\n27896 41818\n22887 34367\n18722 28104\n43847 65636\n7199 10853\n6472 9766\n4481 6758\n42064 62993\n68710 100000\n63027 94524\n67692 100000\n46417 69490\n11881 17885\n22947 34458\n35205 52699\n23470 35232\n5082 7675\n5484 8275\n53310 79848\n44185 66139\n47637 71324\n49660 74404\n70278 100000\n5647 8513\n38373 57454\n57477 86135\n85923 100000\n7044 10626\n36587 54790\n29514 44222\n65774 98661\n14105 21237\n10667 16055\n64319 96477\n53668 80386\n92050 100000\n53051 79464\n27906 41832\n75711 100000\n26775 40143\n24780 37175\n77546 100000\n21531 32336\n95654 100000\n62054 93058\n73817 100000\n34090 51077\n51682 77426\n14157 21314\n9303 13992\n71488 100000\n13009 19585\n34737 52019\n5914 8938\n71544 100000\n50319 75389\n37005 55400\n89272 100000\n18375 27588\n67185 100000\n55592 83286\n35399 52993\n11054 16652\n2906 4398\n67468 100000\n60917 91323\n89432 100000\n12495 18812\n45836 68620\n60270 90357\n87717 100000\n1189 1781\n90097 100000\n84689 100000\n36162 54138\n95370 100000\n75666 100000\n57789 86610\n64537 96801\n89548 100000\n82002 100000\n75629 100000\n98225 100000\n45018 67398\n88211 100000\n56595 84809\n76907 100000\n50751 76040\n38474 57599\n9162 13778\n69426 100000\n28018 42005\n57073 85530\n5212 7871\n84778 100000\n49851 74695\n39642 59325\n74715 100000\n19144 28761\n91122 100000\n95274 100000\n47228 70715\n53129 79581\n44161 66102\n22413 33667\n92530 100000\n85051 100000\n91560 100000\n38402 57497\n37511 56152\n15013 22588\n16360 24565\n37768 56540\n8730 13135\n6028 9104\n6195 9351\n39456 59055\n87302 100000\n43471 65084\n72097 100000\n25511 38269\n38528 57679\n82145 100000\n96838 100000\n86382 100000\n8506 12796\n61014 91470\n68560 100000\n66019 99024\n28156 42224\n56077 84023\n36768 55059\n15336 23061\n28607 42892\n28405 42588\n7969 12005\n16778 25185\n2929 4433\n146 211\n42557 63732\n1711 2568\n94805 100000\n96146 100000\n60972 91405\n81481 100000\n50983 76384\n41260 61790\n42951 64314\n97827 100000\n42471 63606\n861 1280\n70653 100000\n16708 25077\n12042 18120\n46936 70260\n6594 9954\n44977 67340\n70487 100000\n48094 72020\n71427 100000\n94372 100000\n23506 35287\n82771 100000\n97770 100000\n68955 100000\n43812 65584\n61129 91649\n85664 100000\n38101 57036\n91373 100000\n20319 30525\n47438 71031\n56868 85223\n76446 100000\n11629 17512\n29257 43840\n4894 7392\n71933 100000\n56511 84676\n6620 9992\n36987 55375\n48612 72815\n35519 53175\n34718 51992\n56721 85001\n85588 100000\n43962 65801\n3049 4622\n18612 27938\n21920 32918\n93641 100000\n84176 100000\n87672 100000\n13129 19760\n42600 63793\n21963 32987\n47490 71107\n961 1440\n79413 100000\n48222 72215\n72724 100000\n99029 100000\n36702 54961\n45387 67946\n40147 60108\n85831 100000\n36685 54938\n35915 53762\n36363 54450\n26308 39469\n8147 12258\n41351 61921\n72338 100000\n16674 25024\n39315 58846\n80829 100000\n50206 75218\n85628 100000\n38660 57860\n95467 100000\n85085 100000\n92423 100000\n84676 100000\n68990 100000\n73739 100000\n72009 100000\n89751 100000\n21491 32277\n13636 20524\n87304 100000\n20362 30591\n44067 65957\n30651 45938\n67935 100000\n21016 31564\n57714 86506\n91675 100000\n81786 100000\n91188 100000\n40599 60788\n27117 40651\n38446 57559\n40894 61236\n49368 73966\n52598 78789\n58510 87694\n9765 14685\n20569 30906\n70350 100000\n94163 100000\n67501 100000\n64203 96302\n65813 98716\n82315 100000\n39824 59613\n28012 41995\n34372 51497\n34936 52315\n94867 100000\n29729 44543\n97857 100000\n46641 69835\n95072 100000\n10355 15583\n6435 9706\n55356 82927\n40317 60356\n4154 6269\n13647 20542\n40863 61184\n83713 100000\n79708 100000\n53402 79990\n1662 2492\n68089 100000\n73201 100000\n65086 97636\n2061 3113\n60490 90694\n59644 89423\n77774 100000\n52442 78553\n59158 88669\n94957 100000\n38294 57325\n39388 58955\n14353 21600\n19774 29699\n33547 50259\n34409 51551\n48698 72947\n37829 56627\n60824 91190\n7141 10764\n85126 100000\n91266 100000\n3637 5484\n50418 75531\n12173 18317\n67145 100000\n21882 32865\n33268 49843\n4520 6819\n49124 73595\n24240 36370\n44398 66464\n2267 3431\n61111 91621\n3604 5434\n59584 89332\n80572 100000\n88367 100000\n3907 5883\n29860 44741\n62138 93184\n19522 29334\n25289 37934\n40680 60907\n17469 26228\n21985 33014\n5062 7645\n57871 86737\n258 386\n59 84\n18769 28173\n11460 17263\n5664 8541\n79213 100000\n50831 76157\n78775 100000\n1163 1745\n31743 47557\n54961 82326\n73774 100000\n15070 22668\n1810 2730\n9340 14049\n6265 9449\n42847 64160\n45246 67737\n62219 93307\n70947 100000\n81898 100000\n46054 68943\n76942 100000\n80815 100000\n40109 60053\n23960 35955\n59005 88433\n81609 100000\n78523 100000\n49331 73906\n68100 100000\n79857 100000\n3881 5846\n60697 91005\n99381 100000\n17872 26833\n3860 5817\n73208 100000\n15200 22860\n81978 100000\n72324 100000\n91946 100000\n30752 46086\n33070 49543\n96942 100000\n13195 19860\n64672 97002\n77983 100000\n73507 100000\n55646 83369\n85207 100000\n80965 100000\n80614 100000\n78893 100000\n39864 59677\n78421 100000\n18555 27856\n62554 93817\n56653 84900\n35492 53133\n25018 37535\n38669 57872\n82013 100000\n1523 2280\n80462 100000\n57350 85943\n52697 78928\n4348 6563\n647 964\n50361 75454\n33053 49518\n11482 17292\n64726 97085\n55451 83072\n21176 31807\n88605 100000\n45054 67453\n91421 100000\n61012 91466\n35948 53813\n6025 9100\n713 1066\n27975 41935\n45056 67455\n41564 62243\n62179 93248\n66206 99304\n30342 45468\n26536 39796\n6945 10489\n18865 28328\n60701 91010\n72162 100000\n20980 31516\n6495 9801\n87498 100000\n20443 30721\n30574 45819\n70082 100000\n54405 81500\n38371 57450\n10223 15380\n76558 100000\n70563 100000\n41515 62168\n50285 75337\n76633 100000\n32457 48607\n40611 60805\n1393 2082\n44281 66285\n43408 64995\n31909 47806\n4201 6341\n63042 94543\n63924 95881\n36165 54144\n23968 35966\n71810 100000\n59727 89551\n27295 40920\n95612 100000\n70556 100000\n15832 23786\n81452 100000\n4653 7028\n3574 5391\n58018 86961\n51312 76879\n14056 21154\n59605 89365\n43481 65099\n96203 100000\n65841 98760\n28630 42924\n53139 79595\n5571 8401\n99915 100000\n3347 5061\n49788 74598\n44671 66883\n11826 17810\n62613 93903\n67582 100000\n72581 100000\n12435 18718\n62092 93116\n90910 100000\n6838 10329\n21356 32072\n10161 15290\n6111 9222\n74961 100000\n60363 90498\n91820 100000\n29115 43639\n96696 100000\n81542 100000\n78452 100000\n55915 83771\n6253 9431\n24324 36504\n41390 61979\n66402 99592\n59513 89223\n19586 29425\n94403 100000\n6010 9079\n93320 100000\n31602 47343\n16960 25457\n85217 100000\n3950 5951\n70535 100000\n88453 100000\n76845 100000\n33540 50249\n63855 95780\n55183 82663\n31975 47905\n89648 100000\n28601 42882\n98404 100000\n34350 51463\n10543 15862\n1581 2369\n75086 100000\n43021 64415\n82489 100000\n65539 98308\n93835 100000\n21019 31569\n69974 100000\n89047 100000\n42625 63827\n41844 62678\n93424 100000\n94097 100000\n98771 100000\n58032 86982\n66855 100000\n33275 49854\n50284 75336\n42257 63285\n78661 100000\n85018 100000\n77183 100000\n91682 100000\n57794 86617\n92314 100000\n17787 26703\n22526 33833\n12372 18625\n10736 16161\n46796 70059\n4826 7289\n25120 37686\n45170 67625\n29210 43767\n15267 22957\n8156 12273\n2312 3498\n86501 100000\n73391 100000\n18377 27590\n99322 100000\n29646 44420\n5015 7568\n10606 15960\n67087 100000\n25820 38742\n15100 22712\n48357 72424\n79739 100000\n99899 100000\n69483 100000\n11138 16778\n69275 100000\n4908 7414\n82951 100000\n17572 26382\n32094 48076\n10995 16555\n38361 57433\n41766 62548\n96869 100000\n74362 100000\n91106 100000\n10204 15349\n24095 36157\n40098 60034\n65387 98085\n84755 100000\n44904 67234\n17784 26699\n50010 74932\n33718 50515\n77556 100000\n92738 100000\n6274 9463\n22369 33604\n84390 100000\n34070 51045\n21066 31642\n88672 100000\n65788 98682\n68418 100000\n54027 80936\n7113 10722\n76317 100000\n520 774\n54538 81705\n2166 3274\n39746 59483\n1707 2563\n73785 100000\n94473 100000\n37914 56753\n34371 51495\n61258 91847\n92861 100000\n61909 92832\n58982 88401\n36643 54875\n57590 86320\n15501 23302\n47766 71515\n63143 94698\n47335 70876\n53923 80777\n26533 39792\n59840 89719\n70986 100000\n84820 100000\n16850 25294\n69218 100000\n64215 96320\n46330 69364\n97872 100000\n16215 24352\n26498 39746\n40852 61167\n34939 52318\n2473 3748\n14835 22316\n62818 94213\n77275 100000\n16061 24119\n21306 31992\n85397 100000\n23711 35594\n89952 100000\n75543 100000\n9531 14332\n82867 100000\n67997 100000\n50725 75999\n71280 100000\n253 379\n82453 100000\n20648 31022\n72206 100000\n60057 90042\n55192 82677\n9506 14295\n22873 34344\n78166 100000\n86366 100000\n1392 2080\n43676 65383\n59783 89634\n8751 13166\n78132 100000\n50272 75317\n54892 82228\n77227 100000\n67939 100000\n34319 51418\n67461 100000\n43660 65362\n58160 87176\n22699 34087\n19828 29785\n30904 46304\n23382 35099\n36804 55109\n33729 50530\n28262 42377\n57194 85704\n46123 69046\n88321 100000\n82928 100000\n45761 68508\n42348 63422\n34430 51581\n17195 25808\n57163 85661\n40342 60394\n57017 85449\n28248 42358\n16302 24485\n38041 56946\n50561 75755\n59976 89920\n7329 11042\n30777 46119\n73273 100000\n25703 38561\n39345 58892\n61646 92432\n44378 66435\n6116 9231\n76085 100000\n97428 100000\n29947 44865\n63895 95838\n15397 23153\n83158 100000\n69470 100000\n87810 100000\n3897 5867\n86635 100000\n85149 100000\n92712 100000\n37070 55499\n6343 9570\n13373 20132\n40738 60991\n70813 100000\n40415 60507\n57374 85979\n24964 37448\n96202 100000\n64936 97408\n46101 69018\n8653 13018\n15939 23944\n83887 100000\n94337 100000\n16651 24988\n48147 72098\n66432 99635\n79760 100000\n47717 71439\n88238 100000\n5838 8813\n60205 90260\n76060 100000\n17762 26669\n30967 46397\n5123 7738\n99963 100000\n56745 85036\n76635 100000\n2810 4246\n46538 69683\n71942 100000\n1219 1822\n92309 100000\n21577 32404\n9000 13535\n86868 100000\n61617 92389\n59403 89055\n24086 36143\n93050 100000\n53021 79415\n44941 67289\n54061 80992\n6816 10296\n21456 32223\n5883 8890\n15874 23847\n2064 3118\n74433 100000\n20550 30877\n38699 57919\n28685 43006\n78325 100000\n5752 8674\n32858 49223\n84298 100000\n37081 55518\n25664 38502\n14525 21851\n1834 2766\n76273 100000\n93814 100000\n4188 6325\n15239 22915\n30770 46107\n15180 22830\n1663 2494\n52172 78138\n63965 95936\n75767 100000\n83239 100000\n88148 100000\n12208 18372\n50835 76163\n50700 75962\n41445 62064\n41804 62613\n26193 39298\n18401 27624\n78384 100000\n38746 57985\n40383 60460\n68981 100000\n95333 100000\n86956 100000\n573 860\n89683 100000\n51023 76445\n70757 100000\n27910 41838\n19125 28731\n21345 32052\n26899 40328\n18567 27873\n28323 42465\n46119 69041\n54816 82118\n84185 100000\n18570 27878\n3093 4685\n59833 89708\n30460 45648\n87189 100000\n66668 100000\n25000 37504\n51045 76478\n64457 96677\n24124 36202\n94012 100000\n16072 24136\n78792 100000\n44066 65955\n59386 89029\n55633 83349\n43216 64710\n26314 39478\n68943 100000\n19220 28881\n88766 100000\n37574 56246\n74894 100000\n63210 94793\n2331 3526\n29219 43784\n5645 8510\n34887 52244\n81483 100000\n88598 100000\n76775 100000\n53064 79486\n91032 100000\n59215 88756\n95579 100000\n37958 56822\n18179 27291\n58744 88046\n3031 4595\n91808 100000\n41106 61551\n44333 66365\n60078 90075\n37152 55623\n80680 100000\n92503 100000\n61173 91714\n7275 10963\n97116 100000\n21116 31719\n27 40\n76044 100000\n80219 100000\n46099 69016\n50533 75709\n81277 100000\n65206 97823\n63823 95732\n4808 7262\n17621 26456\n85878 100000\n49651 74390\n25254 37882\n43402 64985\n82377 100000\n33963 50884\n87016 100000\n23292 34966\n15243 22922\n18294 27467\n37600 56287\n9627 14474\n35555 53234\n2398 3636\n20830 31295\n24432 36669\n84291 100000\n71702 100000\n1522 2279\n21790 32723\n49308 73869\n29673 44457\n56680 84942\n5618 8469\n18334 27526\n98582 100000\n40380 60456\n62464 93687\n29353 43984\n83840 100000\n80912 100000\n91585 100000\n2374 3598\n35176 52659\n65568 98351\n86607 100000\n44221 66196\n74239 100000\n42708 63955\n22678 34055\n6266 9450\n27374 41046\n85270 100000\n60195 90244\n89629 100000\n68883 100000\n81035 100000\n95978 100000\n69368 100000\n35455 53079\n48179 72146\n5343 8064\n37252 55775\n10358 15587\n7336 11051\n26905 40336\n54750 82023\n89332 100000\n99201 100000\n42676 63904\n8982 13511\n79060 100000\n61595 92359\n57801 86630\n72418 100000\n47780 71537\n6421 9685\n69195 100000\n32227 48270\n29372 44016\n331 497\n92461 100000\n64102 96143\n36976 55360\n52064 77980\n79671 100000\n48888 73239\n57442 86082\n35302 52848\n48870 73212\n91906 100000\n53396 79981\n54160 81138\n66513 99768\n93732 100000\n70721 100000\n70969 100000\n62152 93208\n13348 20095\n25313 37969\n20422 30688\n8632 12987\n36231 54250\n24856 37289\n15292 22992\n57568 86285\n59756 89598\n44787 67060\n10153 15274\n56254 84288\n24255 36395\n57242 85775\n28617 42907\n82953 100000\n61263 91853\n72093 100000\n36185 54177\n98801 100000\n79966 100000\n20183 30322\n68498 100000\n50909 76270\n58211 87247\n10430 15695\n85763 100000\n51771 77556\n81093 100000\n30535 45757\n46746 69989\n37932 56780\n19164 28794\n15579 23416\n81097 100000\n71583 100000\n76794 100000\n58890 88266\n61167 91705\n26569 39846\n73696 100000\n49902 74773\n72741 100000\n52923 79275\n13646 20540\n80579 100000\n33158 49669\n98123 100000\n85183 100000\n63800 95694\n44910 67244\n67941 100000\n42010 62910\n43893 65705\n87170 100000\n96120 100000\n90948 100000\n25500 38252\n84337 100000\n70403 100000\n90282 100000\n19925 29939\n92464 100000\n3701 5575\n17278 25933\n71685 100000\n23270 34934\n70922 100000\n32798 49132\n71193 100000\n27280 40897\n87643 100000\n32333 48428\n4265 6441\n29304 43917\n63483 95200\n93796 100000\n99186 100000\n90912 100000\n4061 6128\n57778 86595\n39268 58778\n80764 100000\n12262 18458\n72832 100000\n73570 100000\n6006 9074\n68840 100000\n96956 100000\n94849 100000\n44602 66769\n23806 35731\n58465 87627\n55194 82680\n33997 50933\n12001 18058\n54965 82333\n95029 100000\n10920 16447\n22340 33555\n95389 100000\n89780 100000\n8979 13506\n52766 79034\n86845 100000\n49823 74653\n62850 94263\n27079 40596\n10339 15556\n54235 81247\n41212 61715\n26054 39086\n84449 100000\n30426 45599\n90495 100000\n20942 31463\n92920 100000\n43279 64805\n45099 67523\n12711 19133\n68030 100000\n33990 50925\n69362 100000\n66931 100000\n25355 38035\n14701 22115\n32490 48656\n9175 13798\n44584 66738\n94084 100000\n1535 2296\n21317 32008\n40688 60920\n55278 82805\n76828 100000\n87859 100000\n24027 36056\n69922 100000\n17958 26960\n74761 100000\n38069 56989\n18192 27313\n25739 38616\n33252 49817\n4940 7461\n71998 100000\n23803 35726\n7842 11809\n51656 77385\n68333 100000\n1624 2433\n50130 75106\n261 390\n85472 100000\n18247 27396\n78034 100000\n71636 100000\n22258 33438\n79297 100000\n43958 65795\n96553 100000\n19547 29366\n97200 100000\n90598 100000\n77899 100000\n26878 40296\n51897 77738\n11484 17295\n71668 100000\n37192 55683\n82926 100000\n75238 100000\n97103 100000\n92901 100000\n26143 39219\n72487 100000\n49867 74720\n77238 100000\n14149 21300\n23404 35131\n13003 19574\n25026 37548\n89699 100000\n49937 74821\n87360 100000\n8284 12470\n23034 34589\n31177 46707\n74966 100000\n95317 100000\n53359 79922\n41918 62779\n96941 100000\n68899 100000\n15595 23438\n73481 100000\n21421 32172\n42920 64270\n71912 100000\n30715 46032\n65882 98822\n53458 80072\n15498 23297\n1125 1687\n19741 29653\n4432 6689\n48981 73378\n77036 100000\n80192 100000\n66620 99930\n10037 15099\n10740 16168\n48064 71977\n8263 12438\n11203 16881\n63743 95602\n58549 87749\n37688 56417\n61627 92404\n78299 100000\n98028 100000\n42345 63418\n224 336\n13160 19809\n31565 47284\n4736 7153\n99641 100000\n9701 14586\n67452 100000\n44656 66855\n65644 98461\n15066 22663\n41752 62526\n52072 77993\n60177 90218\n29983 44919\n38384 57469\n93135 100000\n53176 79646\n72510 100000\n99467 100000\n92211 100000\n80074 100000\n26756 40116\n53472 80094\n80002 100000\n73334 100000\n30149 45172\n17055 25599\n29969 44897\n17973 26983\n22920 34416\n58678 87941\n81054 100000\n56683 84946\n26195 39302\n75343 100000\n70876 100000\n69372 100000\n76373 100000\n2186 3307\n35693 53434\n73081 100000\n55527 83185\n93959 100000\n23961 35957\n86685 100000\n78280 100000\n56106 84068\n81178 100000\n55416 83021\n69296 100000\n65603 98402\n12871 19376\n69285 100000\n95247 100000\n90178 100000\n20289 30479\n98179 100000\n51590 77293\n29921 44831\n30112 45113\n95018 100000\n25815 38732\n84420 100000\n5353 8080\n81191 100000\n77289 100000\n4874 7366\n16337 24532\n60583 90830\n44551 66690\n93803 100000\n41081 61513\n71352 100000\n46810 70079\n58765 88083\n85656 100000\n37625 56323\n75025 100000\n15008 22580\n14139 21283\n95329 100000\n85434 100000\n60773 91120\n61781 92641\n46260 69262\n86151 100000\n46207 69172\n81574 100000\n72899 100000\n72859 100000\n83333 100000\n17586 26404\n34659 51904\n67558 100000\n17018 25546\n3765 5671\n56924 85304\n37665 56382\n50697 75959\n15735 23648\n20522 30832\n87577 100000\n34997 52402\n8965 13484\n96148 100000\n49063 73498\n84448 100000\n77717 100000\n75513 100000\n50107 75075\n80238 100000\n30452 45634\n91552 100000\n6021 9093\n5185 7830\n82135 100000\n22523 33829\n56779 85088\n18700 28071\n14173 21339\n76564 100000\n94609 100000\n53869 80692\n14985 22545\n32624 48864\n8095 12188\n7939 11958\n48986 73383\n27808 41690\n70500 100000\n2623 3976\n840 1253\n81845 100000\n88199 100000\n18269 27429\n33216 49763\n6167 9309\n30665 45962\n9604 14436\n25353 38031\n72580 100000\n80729 100000\n72555 100000\n15135 22761\n32157 48165\n26285 39437\n78856 100000\n68099 100000\n25481 38227\n53298 79832\n24673 37025\n37459 56077\n62038 93033\n71672 100000\n74438 100000\n98002 100000\n44359 66404\n23103 34688\n45680 68385\n84399 100000\n88808 100000\n10321 15531\n96060 100000\n29271 43865\n98678 100000\n17419 26155\n52897 79235\n83584 100000\n96058 100000\n9510 14301\n22161 33287\n48304 72342\n55658 83384\n50837 76166\n69331 100000\n89915 100000\n11302 17032\n81804 100000\n64462 96683\n60344 90469\n86828 100000\n93557 100000\n67123 100000\n95362 100000\n63971 95945\n12420 18695\n90005 100000\n84376 100000\n35367 52945\n82685 100000\n35041 52468\n42917 64265\n82164 100000\n96296 100000\n45950 68791\n39017 58409\n74924 100000\n45300 67815\n76778 100000\n81433 100000\n77467 100000\n90429 100000\n13920 20941\n51310 76877\n89869 100000\n70903 100000\n6820 10303\n85951 100000\n92112 100000\n65076 97620\n52993 79375\n61445 92123\n14121 21256\n93533 100000\n94672 100000\n13139 19776\n62196 93272\n58376 87493\n61009 91461\n52186 78160\n51766 77550\n77417 100000\n23361 35069\n72812 100000\n80339 100000\n74763 100000\n79624 100000\n63272 94888\n19714 29612\n17098 25663\n11976 18019\n13974 21025\n7376 11113\n60143 90164\n61749 92589\n86632 100000\n67847 100000\n22542 33858\n7049 10632\n75319 100000\n56086 84037\n67829 100000\n16608 24931\n13780 20728\n94203 100000\n17039 25576\n93567 100000\n76884 100000\n17066 25616\n8578 12907\n26564 39838\n25636 38456\n66934 100000\n39791 59556\n66343 99514\n71163 100000\n78479 100000\n31580 47304\n98502 100000\n67098 100000\n35993 53884\n10753 16189\n90809 100000\n45595 68261\n32360 48466\n55074 82496\n24058 36099\n56510 84674\n50791 76101\n14998 22566\n42864 64184\n2631 3987\n82326 100000\n2490 3774\n57439 86078\n83838 100000\n11604 17473\n64472 96699\n3778 5692\n82441 100000\n71919 100000\n52672 78893\n69214 100000\n12203 18363\n38204 57191\n28795 43161\n74118 100000\n41589 62280\n61382 92026\n56216 84234\n37681 56406\n8633 12989\n76491 100000\n68002 100000\n82756 100000\n11725 17657\n51471 77120\n73037 100000\n70625 100000\n60921 91327\n78854 100000\n24217 36339\n51157 76648\n35886 53721\n70268 100000\n33722 50520\n15525 23339\n8257 12428\n21620 32473\n27861 41766\n56442 84573\n27520 41262\n15882 23861\n98950 100000\n54336 81399\n1162 1743\n35813 53605\n90909 100000\n39709 59428\n57806 86638\n21978 33005\n59904 89814\n76369 100000\n44236 66217\n40105 60046\n21048 31614\n50692 75952\n91939 100000\n77214 100000\n79612 100000\n18478 27739\n80168 100000\n72667 100000\n36500 54665\n52816 79113\n91335 100000\n33726 50525\n46241 69231\n6024 9098\n88001 100000\n86034 100000\n15992 24019\n18028 27065\n90524 100000\n95472 100000\n85729 100000\n51193 76705\n95604 100000\n81712 100000\n15036 22621\n36780 55077\n37372 55947\n31413 47061\n35663 53393\n47180 70638\n65490 98235\n71856 100000\n1803 2719\n98927 100000\n20379 30620\n77749 100000\n18449 27695\n90216 100000\n49357 73947\n2922 4424\n46479 69588\n72247 100000\n47743 71483\n40985 61372\n8418 12666\n18314 27498\n59667 89456\n92588 100000\n78699 100000\n28800 43168\n74921 100000\n82965 100000\n59430 89101\n35233 52746\n95569 100000\n54829 82137\n23032 34587\n71541 100000\n28414 42600\n64536 96799\n30621 45892\n55628 83341\n73887 100000\n92966 100000\n54823 82127\n87844 100000\n76099 100000\n26288 39441\n58448 87600\n78533 100000\n13874 20873\n51302 76866\n68578 100000\n87599 100000\n76368 100000\n43959 65797\n19270 28957\n93390 100000\n15690 23578\n23552 35357\n85023 100000\n38487 57621\n81109 100000\n29924 44836\n95867 100000\n51882 77713\n36459 54601\n29948 44867\n63664 95483\n43327 64876\n64897 97349\n39997 59875\n25709 38570\n34707 51973\n69741 100000\n58223 87263\n95595 100000\n31493 47178\n86216 100000\n65017 97528\n1112 1666\n37919 56760\n99661 100000\n57357 85953\n24650 36988\n32670 48934\n37583 56260\n28022 42012\n1766 2657\n43680 65389\n56726 85008\n60083 90082\n64210 96313\n57480 86140\n52240 78243\n50794 76104\n7879 11865\n7663 11544\n13649 20544\n25671 38513\n62475 93701\n79428 100000\n65519 98279\n86773 100000\n1547 2315\n91635 100000\n71954 100000\n56631 84867\n87066 100000\n68910 100000\n13183 19844\n4536 6843\n1833 2764\n12753 19194\n72121 100000\n56858 85207\n33046 49507\n88733 100000\n88940 100000\n70360 100000\n74658 100000\n94028 100000\n72714 100000\n82758 100000\n29532 44248\n74847 100000\n75299 100000\n77000 100000\n90610 100000\n18282 27448\n53169 79635\n53237 79735\n67074 100000\n57536 86231\n82483 100000\n57293 85859\n47085 70489\n55419 83025\n72255 100000\n38869 58185\n91531 100000\n6214 9376\n40815 61108\n84598 100000\n61651 92440\n91510 100000\n3254 4920\n40114 60061\n7509 11315\n69156 100000\n23692 35565\n12284 18488\n69058 100000\n30765 46101\n97436 100000\n53448 80057\n39848 59651\n75955 100000\n3877 5839\n47577 71236\n5929 8957\n55234 82739\n71523 100000\n24299 36462\n28366 42528\n75539 100000\n38916 58250\n35718 53469\n70476 100000\n12224 18398\n54442 81556\n36978 55363\n27707 41539\n36524 54698\n79626 100000\n93160 100000\n12841 19329\n90505 100000\n13561 20407\n51326 76901\n21046 31610\n65667 98492\n17540 26336\n68735 100000\n34547 51744\n29419 44086\n70271 100000\n41401 61997\n83636 100000\n13788 20738\n18667 28024\n56961 85361\n93659 100000\n41763 62544\n64558 96831\n67107 100000\n94024 100000\n44611 66784\n40241 60245\n58724 88012\n92236 100000\n68421 100000\n32321 48410\n5861 8851\n48515 72663\n38044 56951\n99741 100000\n36000 53893\n50934 76312\n20416 30678\n29401 44056\n89972 100000\n68184 100000\n68998 100000\n58212 87249\n27138 40683\n37882 56702\n92590 100000\n98321 100000\n93574 100000\n96852 100000\n78704 100000\n42571 63752\n42217 63226\n12085 18183\n47137 70569\n16133 24228\n51381 76986\n86938 100000\n19961 29991\n15929 23928\n56419 84540\n63323 94963\n9718 14611\n64820 97232\n48170 72132\n96609 100000\n36914 55269\n21857 32827\n59597 89352\n97065 100000\n82579 100000\n30111 45111\n16535 24832\n61210 91771\n8508 12798\n76638 100000\n35946 53810\n26993 40459\n92899 100000\n59737 89566\n94962 100000\n40905 61255\n30957 46381\n87855 100000\n94482 100000\n64669 96997\n91633 100000\n53591 80271\n27712 41546\n42585 63771\n13879 20882\n52170 78135\n47403 70979\n40153 60116\n74448 100000\n5941 8977\n72087 100000\n98217 100000\n1615 2419\n80622 100000\n8108 12205\n4668 7051\n61206 91765\n68905 100000\n24322 36500\n59408 89064\n44645 66839\n44898 67226\n78316 100000\n58941 88338\n11097 16719\n44142 66073\n89188 100000\n28718 43049\n56897 85263\n70438 100000\n20693 31089\n97814 100000\n32188 48213\n53982 80868\n38084 57013\n96915 100000\n34395 51529\n39304 58828\n72023 100000\n21786 32718\n52505 78651\n14557 21895\n36467 54611\n45833 68615\n76215 100000\n1435 2144\n80110 100000\n41121 61572\n88965 100000\n74490 100000\n14019 21097\n38184 57162\n41423 62032\n45763 68510\n23451 35203\n55617 83324\n96582 100000\n7943 11963\n10768 16213\n49319 73885\n5689 8580\n32279 48349\n85394 100000\n16746 25133\n9344 14054\n11319 17060\n9994 15033\n57088 85550\n51683 77427\n2404 3646\n13213 19888\n78945 100000\n62952 94416\n91706 100000\n90214 100000\n6402 9655\n62336 93482\n20791 31238\n68179 100000\n18169 27277\n23493 35266\n1320 1973\n69796 100000\n38849 58153\n28203 42293\n7322 11031\n14874 22377\n75515 100000\n66666 99999\n62775 94151\n88691 100000\n50805 76119\n21185 31820\n13898 20909\n62228 93322\n4637 7005\n52209 78197\n64935 97407\n37707 56445\n97475 100000\n43737 65480\n26051 39081\n11461 17265\n34884 52240\n74994 100000\n65856 98782\n61630 92409\n24704 37073\n79246 100000\n92391 100000\n13722 20648\n95646 100000\n59044 88493\n26338 39512\n13976 21029\n23713 35598\n45380 67934\n22840 34300\n24975 37462\n82570 100000\n80902 100000\n86789 100000\n69167 100000\n12286 18492\n87620 100000\n89702 100000\n340 510\n56267 84309\n85703 100000\n69828 100000\n39027 58424\n21552 32370\n89174 100000\n1929 2916\n37057 55478\n53642 80346\n14410 21681\n10172 15307\n98268 100000\n75160 100000\n84450 100000\n48249 72259\n45617 68294\n36004 53900\n24570 36869\n78524 100000\n50998 76407\n97194 100000\n35338 52902\n4059 6125\n36493 54653\n26846 40246\n35357 52932\n41962 62841\n92557 100000\n46620 69804\n99292 100000\n98218 100000\n47617 71295\n64837 97257\n94390 100000\n69443 100000\n59171 88687\n80600 100000\n24993 37493\n18593 27908\n79202 100000\n1933 2921\n45006 67382\n20869 31355\n70085 100000\n61032 91498\n72841 100000\n75976 100000\n59908 89821\n86359 100000\n92591 100000\n18958 28473\n68323 100000\n86490 100000\n72760 100000\n87959 100000\n30955 46379\n68111 100000\n33581 50308\n40545 60706\n55062 82476\n6782 10244\n98166 100000\n40054 59969\n23651 35500\n73717 100000\n4262 6436\n1569 2353\n40782 61059\n44544 66680\n43147 64604\n7453 11230\n99376 100000\n18285 27453\n57621 86362\n40713 60955\n93161 100000\n12816 19289\n50379 75480\n36981 55367\n84085 100000\n15741 23657\n34989 52390\n43177 64649\n86523 100000\n10945 16483\n95363 100000\n53265 79780\n67130 100000\n4129 6230\n50054 74999\n51922 77772\n7386 11127\n8268 12443\n51925 77776\n48265 72282\n76817 100000\n68703 100000\n63008 94494\n5223 7884\n54222 81229\n6839 10331\n4016 6054\n21498 32286\n2415 3665\n9964 14988\n87682 100000\n8549 12860\n86055 100000\n34376 51505\n26937 40382\n14731 22161\n69038 100000\n73801 100000\n2212 3346\n30995 46436\n28374 42542\n52844 79154\n56457 84593\n95890 100000\n82463 100000\n21621 32475\n87282 100000\n91059 100000\n57297 85865\n62685 94013\n8106 12203\n72543 100000\n69549 100000\n61542 92278\n15103 22716\n85751 100000\n70906 100000\n8835 13290\n43626 65315\n65868 98802\n24075 36125\n53249 79755\n37901 56735\n60892 91284\n83822 100000\n87369 100000\n86651 100000\n79923 100000\n59894 89801\n87415 100000\n14704 22120\n61400 92056\n84557 100000\n70149 100000\n16757 25151\n739 1103\n32621 48861\n98731 100000\n25163 37745\n31995 47934\n5038 7602\n23435 35179\n5973 9028\n33872 50743\n97101 100000\n84951 100000\n58218 87256\n62856 94274\n41232 61746\n3933 5927\n9632 14482\n36622 54841\n98965 100000\n92951 100000\n34365 51486\n67279 100000\n82989 100000\n77829 100000\n26790 40166\n40022 59916\n30625 45898\n16395 24618\n15339 23065\n72836 100000\n78388 100000\n7552 11381\n83149 100000\n84940 100000\n14483 21783\n38167 57134\n58351 87456\n77752 100000\n8440 12697\n24220 36343\n46818 70091\n89946 100000\n11514 17343\n18711 28088\n53382 79960\n84328 100000\n90607 100000\n86570 100000\n335 503\n27923 41859\n63365 95021\n32382 48496\n32307 48389\n78174 100000\n66192 99283\n59937 89865\n72021 100000\n53164 79627\n3541 5342\n19014 28559\n76652 100000\n30616 45884\n35961 53832\n25976 38969\n11935 17959\n21398 32135\n37609 56300\n77452 100000\n72081 100000\n8321 12523\n38295 57327\n27255 40860\n66435 99639\n27823 41715\n35877 53709\n44633 66819\n18338 27531\n21846 32811\n2015 3038\n25334 38002\n51180 76685\n72744 100000\n8375 12604\n17812 26740\n4539 6849\n81895 100000\n48159 72115\n99707 100000\n64211 96314\n8116 12216\n7250 10928\n38865 58180\n58377 87495\n18824 28263\n63953 95919\n24509 36782\n47887 71707\n72592 100000\n93416 100000\n18148 27249\n27842 41741\n76259 100000\n44290 66298\n35784 53566\n12121 18237\n7239 10911\n4544 6857\n84093 100000\n27625 41417\n45236 67724\n4500 6789\n753 1126\n58596 87816\n4407 6649\n83825 100000\n22017 33064\n18673 28030\n22457 33733\n87527 100000\n17939 26932\n87430 100000\n6781 10243\n12693 19106\n92398 100000\n4464 6733\n64495 96735\n55872 83709\n51993 77874\n54870 82195\n59222 88768\n11830 17816\n57185 85691\n89921 100000\n59721 89541\n90011 100000\n1184 1773\n54842 82154\n26636 39938\n10023 15077\n81146 100000\n44055 65937\n25956 38943\n2642 4005\n77495 100000\n6340 9567\n69113 100000\n20133 30243\n72729 100000\n57197 85709\n37259 55784\n65548 98321\n51433 77060\n2424 3678\n75621 100000\n52640 78846\n51910 77755\n35020 52434\n53155 79614\n52235 78236\n75288 100000\n16698 25062\n16383 24602\n91303 100000\n37146 55615\n19057 28622\n10561 15891\n56916 85292\n97913 100000\n42425 63537\n27566 41331\n56584 84790\n7167 10803\n83144 100000\n63948 95914\n88753 100000\n80304 100000\n21513 32306\n46639 69832\n75073 100000\n32364 48473\n24421 36653\n34021 50971\n37759 56523\n48618 72825\n64560 96834\n87536 100000\n16731 25107\n80468 100000\n8499 12786\n58655 87906\n53739 80495\n95272 100000\n81420 100000\n37345 55908\n20295 30487\n73865 100000\n78145 100000\n79401 100000\n68202 100000\n13172 19828\n87427 100000\n61175 91717\n14495 21803\n76015 100000\n57050 85494\n17320 25999\n63279 94898\n62709 94052\n50520 75687\n65067 97608\n37642 56343\n22485 33774\n49289 73839\n60488 90690\n27503 41237\n60499 90708\n86428 100000\n5248 7923\n1094 1641\n52080 78005\n21037 31596\n5488 8281\n94816 100000\n56031 83952\n16110 24191\n58034 86985\n81790 100000\n88502 100000\n80762 100000\n61658 92450\n26760 40121\n81899 100000\n56684 84948\n37975 56846\n44280 66284\n27256 40861\n6210 9371\n50676 75925\n21408 32151\n17263 25911\n45525 68158\n61117 91632\n10432 15698\n52894 79229\n70203 100000\n65789 98683\n54374 81455\n3475 5246\n10069 15147\n8627 12979\n21915 32911\n21151 31770\n45649 68341\n13064 19665\n37620 56315\n8905 13393\n51473 77123\n77027 100000\n12274 18477\n89575 100000\n54002 80899\n35840 53650\n6100 9203\n39947 59801\n33768 50588\n96573 100000\n97354 100000\n39317 58849\n39584 59239\n89112 100000\n59736 89565\n44852 67157\n54385 81469\n40518 60662\n7790 11729\n97724 100000\n47476 71083\n50468 75605\n63110 94645\n19635 29504\n34073 51050\n80385 100000\n72499 100000\n77714 100000\n45430 68012\n49431 74069\n80490 100000\n36491 54650\n48339 72396\n31515 47211\n85626 100000\n86479 100000\n24182 36289\n89222 100000\n12670 19073\n17747 26648\n80274 100000\n21389 32122\n19840 29806\n82560 100000\n9248 13914\n69770 100000\n17487 26256\n26910 40345\n72024 100000\n4001 6030\n58058 87022\n38922 58259\n57931 86831\n2489 3773\n28749 43096\n41728 62491\n33571 50292\n14490 21795\n21522 32320\n2548 3863\n75368 100000\n71890 100000\n36553 54740\n33670 50453\n61404 92063\n65833 98747\n89468 100000\n16790 25206\n32085 48062\n1028 1541\n54258 81282\n57798 86624\n23764 35668\n78228 100000\n1537 2300\n60695 91003\n9561 14378\n56209 84222\n26708 40046\n22433 33695\n94056 100000\n80426 100000\n2311 3496\n60004 89963\n26646 39951\n31528 47229\n15399 23156\n74042 100000\n86863 100000\n62353 93506\n49761 74555\n83489 100000\n73298 100000\n84330 100000\n3239 4898\n7577 11419\n55549 83219\n39977 59846\n92842 100000\n49630 74358\n43933 65757\n63954 95920\n10080 15166\n91671 100000\n18069 27128\n16336 24530\n84734 100000\n88028 100000\n13793 20744\n8451 12712\n75311 100000\n41342 61908\n76900 100000\n10827 16307\n58093 87074\n44136 66063\n53570 80239\n49795 74607\n24761 37149\n50773 76071\n93941 100000\n42736 63996\n76406 100000\n85556 100000\n65025 97541\n83137 100000\n93758 100000\n24392 36608\n31109 46600\n61113 91625\n49487 74152\n338 506\n1086 1629\n83654 100000\n35377 52959\n7390 11133\n71759 100000\n49468 74122\n19765 29685\n92450 100000\n87109 100000\n31386 47022\n83529 100000\n82446 100000\n67244 100000\n63643 95448\n40277 60299\n65934 98905\n29624 44394\n22311 33514\n56561 84755\n5837 8811\n29990 44930\n52649 78861\n26667 39980\n71648 100000\n3143 4759\n76768 100000\n97337 100000\n43353 64915\n55302 82844\n66948 100000\n30153 45178\n43019 64413\n71054 100000\n46363 69413\n30056 45034\n75783 100000\n97927 100000\n84845 100000\n71596 100000\n71030 100000\n19726 29631\n42803 64096\n18275 27438\n21828 32783\n96116 100000\n4175 6303\n13246 19943\n38793 58062\n2452 3720\n15612 23461\n35611 53316\n58961 88368\n54632 81842\n57883 86753\n46700 69926\n34318 51417\n50456 75585\n41464 62094\n73275 100000\n84029 100000\n90106 100000\n70333 100000\n55446 83066\n98562 100000\n1029 1543\n5874 8874\n3268 4942\n91250 100000\n13749 20683\n41569 62249\n98739 100000\n55662 83391\n90124 100000\n43845 65633\n236 353\n75613 100000\n51154 76643\n12998 19566\n51344 76930\n59753 89592\n15617 23469\n13584 20444\n39287 58803\n94471 100000\n87431 100000\n58026 86973\n50967 76361\n5644 8509\n32458 48609\n54838 82149\n77738 100000\n66445 99658\n28116 42164\n31060 46528\n45942 68779\n69840 100000\n807 1210\n67499 100000\n86115 100000\n3111 4709\n48883 73234\n17073 25626\n59175 88693\n22344 33561\n91663 100000\n23558 35366\n51263 76807\n79894 100000\n89792 100000\n84525 100000\n62222 93312\n42147 63116\n12115 18229\n73223 100000\n20661 31043\n7469 11255\n15449 23225\n87179 100000\n99423 100000\n66372 99552\n85538 100000\n77466 100000\n54831 82140\n12174 18318\n78466 100000\n85091 100000\n55064 82480\n53835 80644\n42230 63244\n25913 38879\n21902 32890\n8240 12402\n61946 92894\n98274 100000\n17082 25640\n53104 79543\n56910 85282\n12273 18475\n57037 85475\n72737 100000\n72045 100000\n49784 74592\n74223 100000\n28474 42689\n82987 100000\n36577 54774\n58784 88110\n74405 100000\n93325 100000\n28267 42386\n67449 100000\n69600 100000\n6909 10437\n29525 44238\n14420 21697\n24221 36345\n1195 1788\n61883 92793\n67622 100000\n54508 81660\n28186 42269\n17948 26945\n26642 39945\n74246 100000\n59105 88587\n16079 24147\n38362 57434\n72657 100000\n9006 13543\n10804 16270\n75049 100000\n10022 15076\n83133 100000\n26887 40311\n95399 100000\n87146 100000\n72754 100000\n81688 100000\n95862 100000\n18750 28144\n71552 100000\n95942 100000\n26990 40455\n89656 100000\n77152 100000\n83917 100000\n3380 5109\n64590 96878\n62802 94190\n23205 34841\n20205 30357\n52538 78704\n73015 100000\n47675 71382\n53860 80682\n61585 92344\n27184 40752\n48320 72367\n66806 100000\n68356 100000\n48250 72261\n18682 28043\n86365 100000\n82897 100000\n82095 100000\n34942 52322\n141 204\n96149 100000\n83776 100000\n8887 13369\n46369 69423\n47910 71741\n79917 100000\n78099 100000\n20905 31408\n22836 34294\n49315 73878\n19808 29753\n90663 100000\n42328 63391\n54642 81855\n18274 27437\n110 160\n87989 100000\n64994 97496\n47652 71347\n7368 11100\n28763 43115\n61486 92192\n71420 100000\n39881 59704\n35745 53507\n27076 40592\n44626 66808\n13263 19967\n51078 76526\n97221 100000\n14294 21509\n56332 84405\n6897 10420\n62012 92999\n56965 85368\n13069 19672\n86854 100000\n63931 95890\n33883 50760\n56243 84273\n97073 100000\n15084 22688\n10097 15192\n86 127\n91754 100000\n61525 92251\n55924 83788\n50472 75612\n87543 100000\n42689 63924\n25842 38777\n47648 71342\n84705 100000\n53728 80478\n31449 47111\n17092 25655\n3675 5534\n5544 8366\n12084 18182\n43113 64557\n77021 100000\n98878 100000\n31025 46479\n14776 22230\n59211 88750\n4124 6223\n65586 98375\n99388 100000\n62275 93394\n68340 100000\n4359 6576\n3194 4835\n13510 20326\n89100 100000\n22687 34069\n9263 13934\n29020 43497\n46135 69063\n5236 7903\n65641 98457\n39182 58655\n96546 100000\n15621 23476\n89836 100000\n88833 100000\n13711 20632\n31599 47338\n9686 14566\n63026 94522\n71784 100000\n6824 10309\n66042 99056\n47171 70625\n7986 12032\n683 1022\n74375 100000\n82449 100000\n78408 100000\n53736 80490\n44502 66619\n87637 100000\n1695 2546\n3235 4894\n38109 57050\n7225 10892\n69652 100000\n77622 100000\n67880 100000\n27959 41912\n92518 100000\n6508 9822\n10249 15423\n25932 38906\n33226 49775\n99609 100000\n74477 100000\n92051 100000\n69518 100000\n97406 100000\n44936 67283\n1509 2257\n64967 97458\n36330 54398\n81419 100000\n10664 16050\n91636 100000\n52013 77904\n71918 100000\n10458 15735\n90812 100000\n78194 100000\n95088 100000\n45015 67394\n19580 29416\n48117 72051\n28006 41984\n89123 100000\n61466 92159\n88776 100000\n12276 18480\n4835 7302\n4611 6966\n30982 46418\n70801 100000\n86511 100000\n4658 7037\n97784 100000\n16268 24435\n66617 99924\n73014 100000\n2780 4203\n87209 100000\n5405 8156\n84447 100000\n99468 100000\n7611 11466\n99031 100000\n71986 100000\n70179 100000\n96425 100000\n64112 96158\n27502 41236\n30397 45553\n88293 100000\n38615 57801\n9132 13729\n96816 100000\n5310 8014\n76772 100000\n22256 33434\n37794 56580\n17475 26236\n4056 6120\n36014 53917\n97247 100000\n24489 36753\n70125 100000\n72850 100000\n60232 90297\n92297 100000\n36605 54816\n25911 38877\n11048 16643\n226 338\n54718 81970\n30248 45326\n22717 34114\n50432 75550\n50549 75734\n98246 100000\n11140 16782\n1999 3017\n32481 48644\n654 975\n20090 30183\n28099 42136\n10876 16374\n17668 26535\n18792 28211\n23222 34866\n90677 100000\n67052 100000\n51963 77832\n52899 79239\n25390 38085\n62797 94182\n66182 99266\n96164 100000\n61582 92340\n90500 100000\n25893 38852\n43793 65557\n42666 63891\n72945 100000\n56975 85384\n82746 100000\n14261 21462\n18823 28262\n83818 100000\n36205 54209\n30279 45373\n61881 92789\n81096 100000\n7727 11637\n81887 100000\n76374 100000\n68566 100000\n76701 100000\n94921 100000\n51406 77024\n52887 79218\n34834 52164\n84199 100000\n81885 100000\n47689 71404\n44329 66358\n55483 83120\n44951 67305\n82686 100000\n29112 43635\n18933 28433\n88581 100000\n31052 46516\n75415 100000\n62778 94155\n69036 100000\n15142 22772\n64758 97129\n87355 100000\n9463 14230\n4024 6067\n48086 72010\n97356 100000\n93461 100000\n38425 57528\n46795 70058\n73344 100000\n513 764\n33562 50280\n94735 100000\n26558 39831\n32063 48027\n66021 99027\n763 1141\n57989 86914\n33501 50192\n46205 69168\n42966 64339\n47667 71369\n74714 100000\n58999 88425\n25240 37863\n39373 58933\n20005 30058\n33702 50492\n74661 100000\n46146 69081\n82627 100000\n47000 70364\n89015 100000\n87829 100000\n76032 100000\n10024 15079\n26929 40370\n51943 77800\n47941 71784\n58878 88247\n73551 100000\n71205 100000\n44420 66496\n23553 35359\n40698 60932\n26712 40054\n27827 41721\n65169 97768\n37842 56644\n11638 17526\n37506 56145\n56589 84799\n52278 78300\n66745 100000\n81362 100000\n38949 58302\n43712 65437\n9893 14883\n33440 50099\n76125 100000\n52356 78422\n93245 100000\n68881 100000\n38128 57077\n76083 100000\n68801 100000\n67970 100000\n68374 100000\n76279 100000\n54500 81646\n55255 82771\n40911 61264\n63099 94626\n61099 91604\n53553 80213\n25625 38442\n48930 73300\n32512 48688\n23412 35143\n17182 25790\n22520 33824\n64225 96336\n96055 100000\n6179 9325\n16888 25353\n8708 13098\n15936 23939\n26359 39543\n75337 100000\n97680 100000\n34384 51514\n55903 83754\n97751 100000\n1642 2461\n7228 10898\n44586 66740\n34510 51697\n41983 62873\n42143 63111\n88958 100000\n28987 43450\n44191 66147\n10229 15391\n45231 67716\n66909 100000\n76918 100000\n78728 100000\n45876 68685\n81993 100000\n6470 9764\n24119 36193\n51043 76474\n42908 64249\n61589 92351\n83512 100000\n65750 98623\n83793 100000\n73884 100000\n26917 40353\n8140 12248\n25733 38609\n66778 100000\n93118 100000\n82520 100000\n69754 100000\n99853 100000\n68875 100000\n52463 78588\n68854 100000\n36584 54786\n6901 10426\n90286 100000\n38894 58217\n96451 100000\n65665 98489\n44122 66042\n70678 100000\n61043 91515\n44021 65889\n64297 96444\n98679 100000\n93055 100000\n77644 100000\n56931 85314\n79501 100000\n28478 42695\n5965 9015\n12640 19031\n30756 46091\n7901 11897\n38258 57272\n44718 66957\n9021 13563\n50323 75395\n45993 68854\n31689 47477\n32466 48621\n21819 32771\n60601 90858\n95886 100000\n88588 100000\n35634 53348\n70317 100000\n981 1469\n14238 21427\n83801 100000\n20180 30317\n21299 31983\n51788 77580\n80585 100000\n5239 7909\n2000 3019\n83171 100000\n54953 82317\n75253 100000\n49718 74493\n19699 29590\n92949 100000\n37193 55685\n34694 51954\n91683 100000\n89357 100000\n41855 62694\n87838 100000\n3899 5870\n56748 85041\n79075 100000\n87521 100000\n10848 16333\n31349 46967\n75461 100000\n30628 45902\n34237 51299\n33181 49704\n8167 12289\n54848 82165\n26867 40280\n11728 17662\n83750 100000\n31556 47271\n74299 100000\n37201 55696\n2072 3130\n99053 100000\n21592 32427\n95194 100000\n43777 65537\n97879 100000\n44296 66308\n97336 100000\n12691 19104\n9129 13725\n29283 43882\n81004 100000\n94133 100000\n91839 100000\n25112 37673\n50172 75169\n16291 24469\n47258 70762\n15694 23582\n53331 79879\n80396 100000\n65879 98819\n25990 38986\n12993 19558\n53361 79925\n52583 78769\n66443 99654\n71403 100000\n51916 77764\n54032 80945\n6943 10486\n9161 13776\n77145 100000\n72586 100000\n33434 50090\n49837 74675\n85289 100000\n32775 49098\n27928 41867\n7564 11400\n93819 100000\n16964 25464\n52447 78560\n18239 27385\n61581 92339\n70592 100000\n86531 100000\n72473 100000\n71289 100000\n41032 61440\n28497 42723\n50733 76011\n87945 100000\n28089 42120\n16231 24377\n97267 100000\n76102 100000\n31752 47570\n8280 12465\n18526 27810\n57044 85485\n96193 100000\n69866 100000\n27137 40682\n29056 43555\n9788 14721\n92100 100000\n37621 56317\n24186 36294\n46553 69708\n86497 100000\n97442 100000\n53812 80611\n86760 100000\n55900 83751\n62509 93749\n45792 68554\n53365 79931\n67276 100000\n12370 18622\n91398 100000\n8001 12053\n90107 100000\n26354 39534\n28544 42797\n81750 100000\n1888 2851\n60931 91341\n46658 69860\n43605 65277\n97668 100000\n1148 1722\n27630 41424\n86392 100000\n4768 7201\n37129 55590\n966 1447\n73262 100000\n34769 52069\n54191 81181\n9898 14890\n31681 47464\n15918 23912\n82500 100000\n42509 63663\n54471 81601\n69782 100000\n6769 10225\n42897 64232\n71832 100000\n18384 27598\n15421 23187\n12996 19563\n77944 100000\n71239 100000\n39157 58615\n84626 100000\n45888 68700\n77839 100000\n26701 40037\n64173 96251\n41686 62431\n72099 100000\n4918 7427\n22812 34253\n57196 85707\n5179 7820\n87600 100000\n39918 59759\n15951 23960\n22328 33535\n94985 100000\n28131 42185\n77529 100000\n19171 28805\n81724 100000\n21795 32730\n89069 100000\n54423 81527\n5685 8575\n6708 10131\n21309 31998\n26906 40338\n41529 62190\n81802 100000\n69882 100000\n88461 100000\n54826 82133\n80816 100000\n57744 86551\n82390 100000\n87023 100000\n45620 68298\n84266 100000\n79931 100000\n78781 100000\n42070 63003\n68841 100000\n52514 78666\n43703 65423\n85336 100000\n40762 61024\n14920 22445\n38056 56969\n74992 100000\n7440 11208\n27679 41498\n55207 82699\n80460 100000\n30607 45871\n5439 8209\n87867 100000\n61237 91812\n23834 35768\n92658 100000\n88551 100000\n13011 19588\n106 154\n37051 55470\n73821 100000\n75296 100000\n4313 6508\n69780 100000\n27434 41135\n81599 100000\n92049 100000\n37565 56235\n40771 61040\n45790 68551\n63889 95830\n83860 100000\n9558 14373\n80535 100000\n48368 72442\n66580 99872\n42792 64080\n8850 13314\n35515 53167\n57986 86911\n62310 93449\n85537 100000\n60147 90169\n26060 39094\n52108 78043\n30381 45525\n64969 97461\n4631 6996\n51364 76962\n91409 100000\n66518 99775\n27091 40613\n33807 50644\n56764 85064\n16928 25415\n78811 100000\n70834 100000\n88190 100000\n85932 100000\n70465 100000\n51637 77359\n75212 100000\n45223 67703\n63025 94521\n75500 100000\n97511 100000\n42484 63626\n82976 100000\n40944 61311\n98364 100000\n47819 71600\n21423 32175\n18594 27910\n24653 36993\n59758 89602\n66810 100000\n33973 50898\n65328 98004\n39988 59862\n84373 100000\n94685 100000\n76950 100000\n64902 97357\n5096 7700\n26998 40468\n78171 100000\n39738 59469\n22487 33777\n71813 100000\n83734 100000\n39631 59308\n38855 58162\n24915 37375\n13825 20792\n19575 29409\n38405 57501\n60206 90262\n56157 84145\n32262 48323\n81981 100000\n16483 24753\n79788 100000\n98836 100000\n91438 100000\n39108 58540\n54728 81983\n16940 25432\n85689 100000\n66031 99041\n31178 46709\n39582 59235\n20307 30508\n16473 24736\n55835 83652\n41331 61893\n40140 60097\n26170 39263\n39113 58550\n22448 33721\n45554 68197\n61488 92194\n17588 26406\n39042 58446\n40331 60377\n97560 100000\n71821 100000\n29697 44490\n9136 13736\n43244 64753\n33204 49744\n19456 29236\n64601 96897\n83879 100000\n85727 100000\n86552 100000\n74675 100000\n93108 100000\n6906 10433\n28983 43445\n47876 71688\n13170 19824\n86064 100000\n63245 94847\n7550 11379\n43010 64402\n30028 44990\n94929 100000\n45676 68380\n26339 39513\n57829 86670\n76333 100000\n95749 100000\n92156 100000\n51533 77215\n12894 19408\n41402 61999\n1433 2141\n6355 9585\n21567 32391\n28416 42603\n88878 100000\n9771 14695\n81972 100000\n48362 72432\n55503 83151\n98210 100000\n97767 100000\n34984 52383\n85286 100000\n21771 32694\n97598 100000\n86110 100000\n57800 86628\n91105 100000\n10438 15708\n50035 74972\n88824 100000\n20270 30455\n51508 77179\n90141 100000\n1713 2571\n89122 100000\n33467 50139\n29715 44521\n54071 81008\n47948 71797\n89172 100000\n73320 100000\n37902 56737\n91689 100000\n31066 46536\n4232 6390\n88016 100000\n8495 12779\n91591 100000\n31824 47677\n18991 28522\n21471 32246\n28851 43248\n34853 52189\n50080 75037\n10601 15953\n53407 79998\n46646 69841\n34726 52005\n2430 3688\n70304 100000\n15519 23329\n1340 2002\n39808 59586\n31773 47599\n71065 100000\n64784 97173\n45085 67499\n84313 100000\n53351 79911\n51690 77435\n82609 100000\n24738 37119\n28784 43146\n61531 92261\n85329 100000\n15222 22888\n22853 34315\n41302 61851\n40259 60272\n61803 92670\n18629 27965\n82301 100000\n33150 49657\n98730 100000\n75098 100000\n8572 12898\n66360 99537\n89484 100000\n53996 80890\n12669 19072\n67333 100000\n38570 57733\n61030 91496\n65870 98805\n77161 100000\n38521 57670\n2303 3484\n37392 55974\n79334 100000\n96159 100000\n28290 42419\n99639 100000\n38386 57472\n87324 100000\n30262 45346\n36497 54659\n10947 16486\n19590 29432\n52207 78194\n25719 38586\n61255 91842\n11356 17109\n99153 100000\n39392 58960\n10834 16316\n39476 59080\n84773 100000\n34893 52251\n73212 100000\n50406 75516\n82139 100000\n46675 69885\n27080 40598\n32526 48712\n1901 2872\n61720 92544\n74640 100000\n74381 100000\n68919 100000\n71312 100000\n82146 100000\n6137 9265\n4487 6769\n55621 83331\n63340 94987\n79607 100000\n83465 100000\n5306 8008\n4440 6700\n95043 100000\n29836 44706\n55929 83795\n19510 29317\n17865 26822\n81279 100000\n60846 91222\n819 1228\n69242 100000\n79351 100000\n9839 14802\n83870 100000\n90328 100000\n57991 86917\n42577 63760\n70289 100000\n61403 92061\n10109 15211\n13934 20960\n87546 100000\n92243 100000\n23224 34868\n3074 4656\n63795 95685\n77804 100000\n56431 84558\n90102 100000\n56808 85133\n42316 63373\n42748 64014\n43899 65714\n97904 100000\n6841 10334\n8434 12688\n42427 63539\n64954 97436\n74009 100000\n40227 60225\n38401 57496\n38805 58080\n40583 60764\n55367 82943\n71228 100000\n29254 43836\n86024 100000\n65657 98478\n29061 43561\n27709 41542\n8395 12633\n9258 13929\n90844 100000\n39464 59064\n76777 100000\n42690 63926\n11850 17841\n91281 100000\n39512 59132\n91818 100000\n99052 100000\n15513 23320\n5592 8431\n50416 75528\n83298 100000\n62751 94117\n88760 100000\n51056 76493\n54282 81321\n9311 14003\n21525 32326\n37689 56418\n21124 31731\n78265 100000\n82107 100000\n53801 80596\n50096 75059\n76581 100000\n97394 100000\n9221 13870\n870 1294\n54649 81867\n63702 95540\n43898 65712\n75679 100000\n46077 68978\n73114 100000\n67788 100000\n32706 48992\n25344 38019\n47371 70932\n98524 100000\n39890 59717\n21163 31786\n68792 100000\n94529 100000\n68565 100000\n73307 100000\n30317 45431\n72696 100000\n45463 68063\n75807 100000\n52626 78828\n63387 95056\n43149 64607\n88394 100000\n96931 100000\n83100 100000\n18739 28126\n37338 55900\n95339 100000\n94980 100000\n26113 39173\n89438 100000\n71898 100000\n55558 83235\n20757 31190\n44129 66053\n77838 100000\n67163 100000\n61682 92488\n40896 61239\n67116 100000\n76026 100000\n15357 23095\n31347 46965\n36289 54336\n14289 21501\n1468 2193\n32974 49399\n63686 95518\n65835 98749\n27254 40858\n69258 100000\n33375 50000\n38170 57140\n32393 48512\n1731 2600\n40629 60834\n7640 11511\n7431 11196\n63857 95784\n63229 94821\n23839 35775\n76846 100000\n25813 38730\n49978 74886\n38306 57344\n15549 23373\n88892 100000\n53722 80469\n50200 75210\n91562 100000\n39379 58943\n63809 95710\n78821 100000\n65646 98464\n42233 63249\n13938 20966\n99783 100000\n90939 100000\n58651 87900\n78678 100000\n38936 58281\n78037 100000\n30821 46184\n69907 100000\n28085 42112\n92074 100000\n93176 100000\n70342 100000\n6953 10502\n14967 22519\n25577 38369\n79249 100000\n56987 85403\n78810 100000\n36214 54221\n44688 66908\n45335 67868\n96 141\n81952 100000\n39690 59399\n83135 100000\n37939 56791\n87788 100000\n41521 62176\n33810 50648\n5322 8031\n90120 100000\n95813 100000\n97600 100000\n67586 100000\n47929 71766\n43290 64823\n1025 1535\n10046 15115\n3500 5284\n95910 100000\n1319 1971\n33569 50290\n59697 89504\n47030 70410\n51691 77437\n49318 73883\n4953 7482\n83631 100000\n72299 100000\n36481 54634\n97612 100000\n16871 25327\n76061 100000\n33186 49714\n95537 100000\n89726 100000\n97446 100000\n10050 15120\n33461 50130\n43443 65043\n53257 79767\n55277 82804\n3552 5360\n80486 100000\n6825 10310\n79656 100000\n72282 100000\n17383 26098\n81485 100000\n27375 41048\n78030 100000\n99586 100000\n26715 40057\n45123 67554\n51006 76418\n50126 75102\n42067 62997\n14665 22058\n80173 100000\n48648 72870\n31759 47578\n65216 97838\n38089 57020\n39018 58411\n30973 46407\n12893 19407\n10256 15434\n79611 100000\n47363 70922\n44157 66096\n68915 100000\n13963 21008\n314 472\n4753 7180\n8841 13299\n94783 100000\n97772 100000\n28123 42174\n23080 34656\n57882 86752\n76883 100000\n85227 100000\n36898 55245\n69692 100000\n8051 12125\n34715 51987\n30031 44994\n2213 3348\n42981 64363\n5705 8605\n54331 81391\n35244 52762\n81749 100000\n93900 100000\n12227 18401\n42801 64093\n29737 44555\n61432 92106\n43032 64432\n63129 94678\n10751 16186\n62753 94121\n23780 35694\n92399 100000\n39838 59636\n34672 51923\n41527 62186\n31097 46582\n41618 62323\n11214 16900\n803 1204\n42462 63593\n21729 32632\n96174 100000\n32872 49247\n45963 68812\n49916 74792\n98571 100000\n62333 93478\n14659 22050\n83940 100000\n36666 54912\n44665 66873\n66270 99399\n45611 68284\n68924 100000\n1966 2970\n4723 7131\n16841 25280\n53664 80379\n47772 71523\n58374 87490\n52657 78872\n13912 20930\n970 1453\n82943 100000\n80957 100000\n65089 97640\n24845 37268\n61423 92092\n49171 73665\n86654 100000\n48867 73208\n44700 66929\n48 68\n52037 77939\n95420 100000\n94373 100000\n15793 23729\n60699 91007\n55677 83413\n51971 77844\n49531 74214\n3694 5565\n94663 100000\n76555 100000\n40113 60059\n66636 99955\n3169 4798\n34727 52007\n25502 38256\n16713 25084\n24420 36652\n18733 28117\n46759 70008\n90574 100000\n64350 96526\n19198 28845\n50268 75312\n1950 2945\n26394 39593\n31615 47362\n44397 66462\n41170 61650\n22158 33281\n92663 100000\n39633 59310\n17931 26919\n83638 100000\n55242 82750\n21817 32767\n49361 73955\n4330 6534\n9927 14934\n73225 100000\n22694 34077\n68381 100000\n52559 78735\n52955 79319\n12109 18219\n6719 10147\n77813 100000\n12296 18507\n8520 12819\n60234 90300\n52219 78212\n90175 100000\n53206 79688\n82875 100000\n52239 78242\n67425 100000\n58795 88123\n74758 100000\n22874 34345\n84919 100000\n59828 89700\n1672 2508\n73271 100000\n14721 22145\n56177 84175\n66406 99598\n21506 32297\n1584 2373\n25255 37883\n98699 100000\n85896 100000\n4240 6403\n42285 63327\n42022 62926\n57326 85910\n11592 17457\n17125 25701\n79253 100000\n74685 100000\n84354 100000\n59230 88780\n66797 100000\n46863 70150\n22290 33488\n72020 100000\n32748 49056\n42499 63649\n70910 100000\n2094 3167\n89990 100000\n72146 100000\n64032 96036\n11583 17445\n15886 23867\n77894 100000\n16031 24072\n57640 86390\n96030 100000\n42232 63248\n10468 15750\n97353 100000\n99226 100000\n52529 78691\n18690 28055\n41558 62235\n10210 15358\n28729 43067\n469 701\n62175 93241\n70372 100000\n6102 9207\n894 1328\n28648 42951\n48813 73129\n46837 70116\n34450 51607\n31762 47581\n50289 75343\n36814 55123\n16205 24337\n15269 22960\n7519 11333\n3959 5964\n30761 46097\n18288 27458\n79860 100000\n26606 39897\n65122 97691\n61105 91611\n11042 16632\n50318 75387\n63020 94512\n45420 67995\n69763 100000\n56618 84847\n10120 15229\n95301 100000\n81171 100000\n63578 95348\n51864 77687\n73044 100000\n21742 32651\n11658 17556\n25846 38782\n91424 100000\n96259 100000\n96412 100000\n37383 55960\n37566 56236\n54938 82298\n30848 46223\n20359 30587\n55291 82827\n35024 52441\n43342 64898\n4743 7164\n57974 86894\n93544 100000\n98480 100000\n62040 93037\n83719 100000\n74034 100000\n33619 50374\n66282 99420\n48545 72711\n85353 100000\n24153 36245\n3609 5441\n47499 71119\n86079 100000\n37042 55457\n82534 100000\n68755 100000\n25183 37776\n94126 100000\n82432 100000\n95617 100000\n74634 100000\n63095 94620\n88151 100000\n61313 91923\n10033 15093\n62687 94017\n24983 37476\n58038 86990\n32080 48054\n83981 100000\n9071 13631\n20191 30337\n33838 50693\n93474 100000\n79391 100000\n72454 100000\n96438 100000\n83194 100000\n20298 30491\n5855 8840\n47681 71391\n77117 100000\n16020 24058\n65880 98820\n30394 45548\n76646 100000\n75059 100000\n40073 59996\n19835 29797\n22608 33957\n68398 100000\n85950 100000\n72154 100000\n29638 44411\n88054 100000\n22982 34508\n36583 54785\n36867 55197\n71989 100000\n33013 49454\n98249 100000\n90644 100000\n84775 100000\n75726 100000\n62794 94179\n26685 40014\n94882 100000\n373 564\n9954 14972\n17801 26723\n43272 64796\n33412 50059\n17912 26891\n24516 36791\n13642 20533\n48889 73240\n93267 100000\n23260 34921\n18118 27206\n37208 55707\n22057 33127\n88528 100000\n56978 85387\n78673 100000\n12165 18304\n32297 48373\n74562 100000\n44317 66340\n24336 36524\n17410 26140\n79270 100000\n18798 28219\n5204 7857\n54042 80961\n34833 52163\n40605 60796\n96117 100000\n18492 27760\n87744 100000\n61061 91544\n33306 49896\n62145 93195\n18306 27485\n62372 93535\n54024 80931\n22641 34000\n87494 100000\n81184 100000\n29704 44502\n26644 39948\n58168 87187\n30193 45237\n23307 34989\n85953 100000\n32912 49311\n74374 100000\n39040 58443\n52979 79353\n3978 5996\n44795 67072\n87797 100000\n6660 10050\n36749 55030\n44390 66453\n89142 100000\n94561 100000\n46597 69775\n2594 3930\n36623 54843\n3487 5265\n3003 4550\n38599 57776\n50839 76168\n17087 25646\n98156 100000\n81230 100000\n35456 53080\n7457 11237\n687 1029\n42746 64011\n66942 100000\n6652 10038\n1369 2046\n21785 32716\n91101 100000\n59013 88445\n74534 100000\n71072 100000\n19898 29895\n67047 100000\n89554 100000\n61905 92826\n25137 37708\n36958 55330\n54904 82246\n6923 10456\n62925 94375\n26335 39508\n83159 100000\n66794 100000\n21454 32220\n53482 80107\n76098 100000\n99909 100000\n83101 100000\n34560 51762\n17201 25816\n95644 100000\n44119 66037\n82041 100000\n6478 9775\n50643 75876\n60854 91231\n23478 35244\n81131 100000\n41769 62553\n97022 100000\n16053 24106\n78463 100000\n22733 34137\n84067 100000\n81989 100000\n63164 94724\n40538 60696\n65730 98592\n63757 95626\n22185 33325\n13367 20125\n40076 60000\n47380 70946\n50924 76296\n76143 100000\n29474 44167\n13735 20664\n59599 89355\n99903 100000\n8624 12976\n20878 31369\n30097 45091\n12797 19263\n3934 5928\n79871 100000\n41729 62492\n61018 91477\n20240 30411\n35218 52719\n15572 23406\n25122 37689\n22021 33070\n80417 100000\n74504 100000\n96857 100000\n92348 100000\n70593 100000\n25447 38176\n86008 100000\n69665 100000\n65695 98535\n76621 100000\n94943 100000\n5768 8703\n2953 4472\n81757 100000\n78285 100000\n802 1202\n59901 89811\n90486 100000\n17123 25697\n81384 100000\n31778 47607\n24870 37309\n44847 67149\n88578 100000\n65536 98305\n94677 100000\n76682 100000\n91742 100000\n95084 100000\n42354 63431\n13543 20379\n1455 2172\n98660 100000\n38090 57022\n44843 67142\n51123 76594\n19663 29541\n92805 100000\n55562 83240\n94669 100000\n49403 74024\n10996 16556\n67230 100000\n23342 35039\n69830 100000\n73214 100000\n85089 100000\n58896 88275\n85862 100000\n34644 51882\n81385 100000\n95758 100000\n9609 14444\n86652 100000\n6688 10096\n62646 93955\n33778 50603\n31687 47475\n67992 100000\n35443 53061\n39273 58784\n57665 86426\n68992 100000\n64053 96071\n5811 8773\n31566 47285\n52572 78752\n52268 78286\n46246 69238\n73573 100000\n24840 37261\n6583 9936\n60737 91068\n68301 100000\n59715 89532\n17399 26124\n96752 100000\n78077 100000\n31253 46827\n17881 26846\n60660 90951\n77303 100000\n42961 64330\n89239 100000\n85078 100000\n99908 100000\n28417 42605\n87054 100000\n1998 3016\n41374 61953\n60026 89998\n33473 50149\n2451 3719\n89495 100000\n70230 100000\n44578 66730\n34113 51112\n23440 35187\n31631 47387\n37963 56830\n20179 30315\n70692 100000\n3172 4802\n1464 2186\n69011 100000\n37497 56133\n48245 72251\n96460 100000\n48490 72626\n69305 100000\n56826 85162\n59829 89702\n34059 51028\n31985 47920\n41406 62005\n91291 100000\n73054 100000\n75867 100000\n60454 90636\n48704 72956\n67037 100000\n96480 100000\n81894 100000\n83717 100000\n57796 86620\n54784 82072\n32200 48228\n13751 20687\n73900 100000\n26482 39723\n66141 99208\n93801 100000\n84044 100000\n65889 98835\n84214 100000\n54852 82170\n90847 100000\n27267 40874\n34741 52026\n32881 49262\n58892 88269\n27935 41878\n15474 23262\n37764 56533\n96166 100000\n90645 100000\n85471 100000\n46419 69494\n64853 97280\n46543 69691\n96160 100000\n19793 29728\n65766 98647\n3652 5502\n13001 19570\n30237 45307\n43213 64704\n18525 27809\n22983 34510\n93624 100000\n89247 100000\n37549 56210\n85163 100000\n1666 2499\n70212 100000\n86807 100000\n2007 3028\n14190 21362\n53163 79626\n10122 15232\n24467 36725\n86433 100000\n44516 66636\n92411 100000\n54092 81041\n55779 83567\n54735 81996\n90929 100000\n82811 100000\n72502 100000\n55793 83588\n31076 46552\n67207 100000\n73518 100000\n46187 69144\n90323 100000\n90268 100000\n31638 47396\n2413 3661\n33345 49954\n18065 27122\n75201 100000\n95402 100000\n59935 89863\n48435 72545\n27925 41861\n44300 66313\n83364 100000\n41667 62399\n84641 100000\n12368 18619\n18419 27647\n62849 94262\n85450 100000\n273 408\n32788 49118\n53471 80092\n83246 100000\n2474 3749\n47531 71168\n93703 100000\n83289 100000\n91267 100000\n3844 5793\n56048 83978\n38026 56924\n17319 25997\n76820 100000\n6520 9843\n67681 100000\n96437 100000\n3294 4981\n14730 22160\n16455 24709\n96736 100000\n90999 100000\n74102 100000\n45220 67698\n99339 100000\n43001 64388\n87560 100000\n37420 56017\n39855 59663\n51587 77288\n57121 85596\n12572 18928\n97782 100000\n7791 11731\n51315 76883\n36144 54113\n10636 16007\n92340 100000\n82265 100000\n66387 99570\n89701 100000\n60859 91237\n45968 68821\n84991 100000\n16045 24093\n40048 59959\n90340 100000\n37343 55905\n28513 42748\n6341 9568\n12360 18606\n20749 31177\n20917 31424\n52873 79198\n48219 72212\n39019 58412\n13067 19670\n70733 100000\n73520 100000\n48525 72679\n81470 100000\n99254 100000\n32459 48610\n72570 100000\n84058 100000\n56967 85371\n27713 41547\n48196 72175\n30601 45862\n9725 14621\n76589 100000\n73243 100000\n44808 67090\n29690 44480\n11002 16565\n59245 88803\n58646 87891\n21948 32965\n79207 100000\n40877 61207\n10963 16506\n44643 66835\n35730 53486\n75936 100000\n97839 100000\n25066 37607\n20879 31371\n98737 100000\n33039 49494\n4572 6901\n10014 15065\n91643 100000\n19947 29970\n88227 100000\n37948 56806\n39504 59120\n21447 32211\n4368 6591\n93735 100000\n43036 64437\n72092 100000\n5177 7818\n16 23\n61093 91594\n26596 39885\n82068 100000\n73898 100000\n62566 93834\n83567 100000\n13357 20109\n81275 100000\n6184 9332\n79934 100000\n5425 8187\n67167 100000\n31965 47888\n91478 100000\n50814 76132\n80284 100000\n93039 100000\n63101 94630\n82330 100000\n35682 53418\n41815 62631\n20002 30054\n93566 100000\n53264 79778\n32910 49307\n28034 42031\n93172 100000\n38229 57229\n27927 41865\n56976 85385\n8248 12414\n69637 100000\n89165 100000\n31936 47844\n23501 35279\n85712 100000\n17929 26915\n37889 56715\n37004 55398\n25707 38567\n64204 96303\n96713 100000\n21302 31987\n21489 32273\n51792 77587\n35562 53245\n19545 29363\n73 108\n3522 5315\n12519 18845\n15679 23562\n42502 63654\n29675 44459\n78043 100000\n73128 100000\n9224 13876\n58429 87574\n35151 52623\n97775 100000\n56497 84654\n74778 100000\n94336 100000\n28388 42564\n21868 32844\n79824 100000\n95928 100000\n7443 11212\n94741 100000\n63067 94578\n6461 9749\n65370 98061\n31557 47273\n8472 12741\n91339 100000\n58450 87604\n93452 100000\n72923 100000\n48953 73331\n18814 28248\n33001 49437\n76568 100000\n89591 100000\n1463 2184\n92844 100000\n55098 82540\n56625 84856\n30275 45367\n24563 36859\n82701 100000\n56878 85238\n27194 40766\n34804 52122\n10841 16325\n16254 24414\n15864 23831\n97509 100000\n69220 100000\n99441 100000\n78060 100000\n28822 43201\n74454 100000\n41574 62256\n54208 81206\n64580 96865\n85470 100000\n94487 100000\n90885 100000\n82615 100000\n43887 65695\n90267 100000\n90417 100000\n4007 6039\n24171 36275\n90318 100000\n3375 5100\n45805 68575\n73607 100000\n20530 30845\n41251 61777\n55713 83467\n93775 100000\n38385 57471\n67587 100000\n54783 82071\n87517 100000\n92061 100000\n95352 100000\n31010 46459\n53443 80049\n93268 100000\n26220 39336\n98469 100000\n69794 100000\n86876 100000\n60293 90393\n91184 100000\n6548 9884\n31541 47248\n67600 100000\n54083 81027\n86407 100000\n629 939\n72585 100000\n80565 100000\n77175 100000\n43690 65403\n43210 64699\n37069 55497\n4787 7231\n53999 80895\n10883 16385\n4198 6338\n48919 73286\n94243 100000\n45169 67624\n13364 20119\n29578 44326\n57116 85590\n64247 96370\n13568 20419\n57779 86596\n89798 100000\n54327 81385\n83875 100000\n71217 100000\n36805 55111\n6126 9248\n49405 74028\n46423 69500\n95556 100000\n63399 95073\n37210 55709\n58187 87211\n24940 37412\n76716 100000\n80493 100000\n58219 87257\n41122 61574\n85756 100000\n72251 100000\n82957 100000\n91182 100000\n60305 90410\n81078 100000\n39411 58993\n11289 17014\n10381 15623\n16413 24643\n29305 43918\n84628 100000\n69361 100000\n51931 77784\n83314 100000\n98277 100000\n90778 100000\n27545 41298\n70826 100000\n17937 26929\n77815 100000\n2844 4301\n49497 74170\n23990 36001\n16640 24974\n71868 100000\n11824 17808\n68974 100000\n29398 44052\n48332 72385\n11621 17499\n6572 9918\n4533 6838\n72405 100000\n4194 6333\n4002 6031\n99309 100000\n45177 67635\n18507 27783\n54927 82281\n37229 55740\n20224 30385\n69755 100000\n49801 74617\n35849 53663\n56053 83986\n68525 100000\n95426 100000\n63945 95911\n50892 76245\n29330 43951\n95872 100000\n42089 63032\n9283 13962\n80076 100000\n61766 92615\n92798 100000\n23940 35926\n21950 32967\n94030 100000\n73489 100000\n85335 100000\n93158 100000\n32448 48593\n72380 100000\n65286 97942\n41481 62122\n45747 68484\n17766 26674\n84966 100000\n73285 100000\n51337 76918\n77593 100000\n5960 9008\n5971 9025\n52374 78446\n94496 100000\n58251 87307\n90147 100000\n98460 100000\n54613 81813\n55627 83340\n31206 46757\n3066 4644\n26224 39344\n61066 91552\n36290 54338\n56085 84036\n67071 100000\n81026 100000\n64372 96553\n85684 100000\n32553 48752\n88080 100000\n75499 100000\n36529 54705\n7818 11774\n31421 47070\n23467 35228\n14605 21967\n74200 100000\n82633 100000\n97343 100000\n10133 15249\n76047 100000\n21633 32492\n64696 97037\n82682 100000\n37065 55492\n96762 100000\n46891 70196\n28345 42497\n15048 22636\n34618 51845\n20625 30985\n75456 100000\n65985 98974\n93631 100000\n53856 80676\n55954 83833\n54489 81631\n75840 100000\n88884 100000\n3761 5665\n11741 17683\n18766 28169\n58115 87104\n47994 71870\n78212 100000\n77682 100000\n53757 80527\n58214 87251\n47796 71561\n45456 68051\n14775 22228\n66477 99711\n43700 65419\n81934 100000\n51980 77856\n45398 67962\n22552 33873\n38281 57304\n9642 14497\n54808 82108\n88450 100000\n127 182\n26561 39835\n69299 100000\n79295 100000\n28683 43003\n64197 96292\n1800 2714\n74126 100000\n89312 100000\n72591 100000\n92659 100000\n73142 100000\n93281 100000\n40134 60088\n77922 100000\n26821 40210\n91692 100000\n90342 100000\n67860 100000\n69141 100000\n67220 100000\n69180 100000\n3750 5648\n61251 91834\n84653 100000\n80088 100000\n48479 72610\n41517 62171\n59610 89373\n72196 100000\n36740 55018\n57395 86009\n37035 55445\n84499 100000\n35514 53166\n28545 42799\n44742 66993\n90817 100000\n53529 80174\n6259 9440\n5834 8808\n77632 100000\n42840 64151\n64870 97307\n79008 100000\n19291 28989\n40175 60151\n53979 80863\n8237 12397\n59028 88470\n13671 20574\n71074 100000\n38860 58171\n70724 100000\n52902 79245\n61922 92853\n73362 100000\n46125 69049\n22885 34364\n10842 16327\n81202 100000\n44841 67138\n34776 52082\n16819 25250\n57055 85503\n95096 100000\n7476 11265\n19716 29614\n49310 73872\n7291 10983\n20509 30816\n50503 75661\n90490 100000\n47436 71028\n1740 2613\n66625 99937\n67684 100000\n48504 72645\n95626 100000\n77193 100000\n63747 95610\n3912 5893\n93032 100000\n82354 100000\n1813 2735\n38282 57306\n20054 30127\n5835 8809\n46608 69788\n32049 48007\n30676 45979\n45394 67955\n8908 13397\n7392 11135\n68413 100000\n53480 80104\n58312 87402\n92020 100000\n51561 77253\n89287 100000\n53840 80653\n10288 15482\n12546 18890\n78863 100000\n41171 61652\n83766 100000\n56303 84359\n69617 100000\n83765 100000\n14764 22209\n79859 100000\n12599 18968\n69378 100000\n57029 85463\n95131 100000\n5580 8415\n8393 12630\n45667 68369\n97331 100000\n70384 100000\n84787 100000\n74698 100000\n56651 84898\n33050 49515\n77172 100000\n81814 100000\n22064 33137\n2329 3523\n27638 41436\n45115 67544\n52444 78556\n30832 46199\n76840 100000\n36865 55194\n32895 49286\n88000 100000\n70864 100000\n47426 71012\n37279 55815\n2498 3786\n32914 49314\n53369 79939\n57852 86704\n89714 100000\n96746 100000\n62426 93622\n8192 12330\n27339 40990\n17150 25743\n27517 41258\n66903 100000\n20233 30399\n64743 97107\n14456 21746\n59952 89887\n21301 31986\n19477 29268\n33068 49541\n51049 76483\n97638 100000\n99247 100000\n92273 100000\n26035 39057\n56788 85101\n70506 100000\n53564 80231\n90164 100000\n95911 100000\n57999 86931\n56227 84249\n79499 100000\n69694 100000\n33700 50490\n57099 85565\n18196 27318\n75675 100000\n94505 100000\n1551 2322\n56685 84949\n3171 4801\n29614 44380\n51815 77621\n9272 13948\n78712 100000\n71399 100000\n57933 86835\n6802 10275\n9277 13954\n57885 86756\n95033 100000\n56985 85399\n79264 100000\n690 1032\n64471 96698\n88751 100000\n38643 57836\n66006 99006\n26247 39380\n94815 100000\n10435 15703\n57268 85819\n19648 29521\n11394 17165\n38646 57840\n18181 27294\n98922 100000\n5225 7886\n95239 100000\n12879 19386\n42513 63668\n78337 100000\n93694 100000\n18979 28505\n44592 66751\n95521 100000\n99043 100000\n40120 60067\n18695 28063\n69554 100000\n23597 35424\n94998 100000\n95228 100000\n47019 70393\n77888 100000\n94582 100000\n2185 3305\n55239 82746\n28464 42675\n17359 26061\n33058 49524\n81028 100000\n95555 100000\n67081 100000\n40495 60631\n2666 4035\n61799 92665\n26137 39211\n23407 35136\n59546 89275\n15056 22649\n92585 100000\n54461 81586\n10081 15167\n15620 23474\n82127 100000\n64055 96073\n65117 97685\n48084 72008\n31086 46567\n55333 82891\n88944 100000\n87470 100000\n47170 70623\n16076 24142\n48626 72837\n23580 35397\n92331 100000\n72681 100000\n5374 8113\n45187 67650\n80563 100000\n90546 100000\n61863 92762\n4301 6493\n24424 36658\n38418 57519\n7877 11863\n51486 77142\n86298 100000\n3339 5050\n28662 42969\n45415 67987\n55742 83513\n44550 66688\n55116 82563\n40954 61325\n17134 25716\n49705 74470\n693 1036\n56886 85249\n89607 100000\n61556 92298\n41263 61793\n48608 72809\n59491 89190\n92683 100000\n92975 100000\n48428 72535\n92817 100000\n5438 8208\n8693 13078\n72648 100000\n20004 30057\n4987 7531\n68504 100000\n757 1131\n7610 11465\n64774 97156\n41315 61872\n63527 95269\n54468 81596\n29354 43986\n36999 55392\n27287 40909\n14833 22313\n67180 100000\n5289 7983\n78011 100000\n87152 100000\n92190 100000\n81547 100000\n57664 86424\n73240 100000\n79182 100000\n41863 62707\n59176 88694\n48273 72295\n36933 55295\n66214 99318\n10087 15178\n93482 100000\n75169 100000\n20502 30805\n29428 44099\n99217 100000\n74245 100000\n96572 100000\n45528 68161\n39749 59487\n42123 63081\n22080 33162\n92581 100000\n88175 100000\n69267 100000\n38134 57086\n26092 39141\n71362 100000\n41368 61944\n71071 100000\n27148 40698\n33908 50797\n6779 10240\n11819 17802\n49534 74218\n34908 52273\n93363 100000\n83562 100000\n59858 89745\n40586 60767\n28921 43352\n72266 100000\n99330 100000\n42962 64332\n7648 11523\n41060 61481\n56320 84386\n95820 100000\n99360 100000\n32809 49151\n10572 15908\n15086 22691\n63384 95051\n35234 52748\n89527 100000\n19314 29021\n78086 100000\n81360 100000\n54473 81605\n22912 34405\n39 55\n74094 100000\n41908 62764\n46171 69117\n96012 100000\n46753 69999\n76689 100000\n25740 38617\n96452 100000\n61880 92788\n47128 70557\n80027 100000\n29727 44540\n83103 100000\n14758 22201\n77306 100000\n33394 50031\n69309 100000\n49872 74728\n12219 18390\n98395 100000\n78819 100000\n46879 70175\n39283 58799\n43689 65402\n24292 36452\n66363 99541\n26162 39250\n67516 100000\n47423 71009\n35448 53069\n90725 100000\n33169 49685\n6065 9156\n38073 56995\n30352 45481\n8069 12151\n46525 69663\n15521 23333\n81725 100000\n74409 100000\n60394 90546\n27426 41122\n26942 40389\n54661 81887\n53906 80749\n56840 85182\n48398 72488\n63933 95892\n64606 96905\n68717 100000\n4078 6155\n41344 61911\n85138 100000\n42598 63790\n66106 99158\n71341 100000\n56774 85080\n65024 97539\n72194 100000\n42739 63999\n82481 100000\n16347 24548\n89183 100000\n42534 63699\n92185 100000\n77315 100000\n37207 55706\n42451 63575\n15061 22656\n57891 86766\n43778 65538\n79571 100000\n97672 100000\n65943 98917\n10814 16286\n57538 86235\n35622 53333\n90481 100000\n62217 93304\n47459 71059\n36337 54410\n91918 100000\n43059 64475\n35805 53592\n10094 15189\n97954 100000\n13900 20913\n15095 22705\n66014 99018\n94369 100000\n53952 80821\n67976 100000\n87208 100000\n35117 52576\n66359 99536\n2723 4124\n3832 5774\n4098 6186\n47069 70470\n66174 99256\n32236 48285\n80044 100000\n91511 100000\n74570 100000\n94026 100000\n3238 4897\n80009 100000\n73626 100000\n61521 92245\n38144 57099\n52782 79057\n5340 8059\n29562 44300\n85187 100000\n56189 84193\n27407 41093\n27384 41061\n7375 11111\n87556 100000\n39246 58746\n20149 30270\n2604 3947\n32724 49021\n31024 46478\n48588 72775\n49605 74324\n54687 81928\n2456 3725\n84279 100000\n23386 35105\n74379 100000\n51534 77216\n25535 38303\n85692 100000\n22397 33644\n38619 57806\n97192 100000\n46277 69289\n65390 98091\n98169 100000\n46687 69905\n63560 95319\n34195 51236\n16832 25267\n75486 100000\n95971 100000\n66328 99491\n54548 81717\n3053 4626\n29158 43702\n57617 86358\n5 7\n40009 59896\n60098 90102\n83753 100000\n66010 99012\n12205 18367\n86144 100000\n5690 8581\n71012 100000\n57956 86867\n32782 49108\n74806 100000\n44275 66278\n83052 100000\n62127 93169\n36709 54971\n25548 38322\n68876 100000\n7429 11193\n3886 5852\n80023 100000\n46273 69283\n51631 77350\n30592 45849\n19177 28815\n90786 100000\n40876 61206\n73632 100000\n9396 14132\n61575 92329\n47054 70448\n42994 64379\n55091 82526\n72303 100000\n89409 100000\n26657 39966\n76881 100000\n17140 25726\n66779 100000\n22018 33066\n86129 100000\n3997 6022\n51323 76896\n49901 74771\n44585 66739\n86383 100000\n50597 75806\n15855 23820\n48116 72050\n21947 32963\n69605 100000\n76302 100000\n18897 28379\n29497 44198\n24301 36466\n75323 100000\n53082 79511\n44279 66282\n81444 100000\n56813 85140\n7221 10887\n65637 98453\n11050 16647\n1145 1719\n72150 100000\n63920 95875\n19254 28931\n99754 100000\n94833 100000\n72398 100000\n39526 59152\n33260 49830\n99310 100000\n43809 65579\n55776 83562\n78096 100000\n79233 100000\n7996 12047\n95163 100000\n65356 98044\n23332 35025\n25690 38540\n30319 45434\n96985 100000\n9909 14909\n72704 100000\n97064 100000\n78400 100000\n93349 100000\n48635 72852\n63749 95613\n61613 92383\n13303 20028\n57309 85883\n59824 89694\n10649 16026\n31092 46575\n53531 80178\n2414 3663\n96555 100000\n10707 16117\n37985 56861\n52185 78158\n84627 100000\n694 1038\n72605 100000\n39893 59721\n8291 12480\n13193 19858\n39752 59492\n8848 13311\n22512 33815\n76570 100000\n51583 77282\n88509 100000\n7344 11062\n92270 100000\n62135 93179\n58519 87708\n57840 86686\n45903 68722\n89590 100000\n54795 82091\n62903 94341\n24740 37122\n47685 71397\n5283 7974\n74092 100000\n65696 98537\n40252 60262\n82913 100000\n65336 98014\n70873 100000\n97880 100000\n73475 100000\n66013 99017\n10790 16246\n17437 26181\n37007 55403\n23047 34608\n78665 100000\n89280 100000\n87616 100000\n36316 54377\n6785 10249\n75024 100000\n26837 40233\n11114 16743\n71517 100000\n56623 84854\n14438 21721\n87787 100000\n37214 55714\n56276 84320\n41304 61855\n56581 84785\n32155 48163\n54908 82252\n28299 42431\n12896 19410\n36646 54880\n25751 38632\n83877 100000\n49919 74795\n41582 62270\n6369 9606\n1497 2240\n71629 100000\n11548 17393\n86459 100000\n21328 32024\n68007 100000\n81997 100000\n65983 98971\n60392 90543\n63407 95083\n49987 74900\n7911 11915\n59126 88620\n91161 100000\n63136 94689\n36011 53912\n35073 52515\n76915 100000\n48803 73113\n54039 80957\n23154 34764\n28843 43236\n35913 53760\n42078 63015\n9176 13799\n64046 96060\n23375 35088\n5288 7982\n15059 22654\n25498 38250\n20783 31225\n65302 97966\n66634 99952\n58998 88424\n64844 97267\n63078 94597\n28688 43011\n85399 100000\n52202 78186\n35061 52499\n25288 37933\n3421 5167\n5733 8645\n72404 100000\n30889 46282\n45385 67942\n34613 51840\n95943 100000\n86852 100000\n6127 9249\n93872 100000\n40220 60214\n24524 36802\n473 706\n14117 21251\n93921 100000\n57140 85623\n61782 92642\n54631 81841\n73070 100000\n42853 64167\n40613 60809\n59198 88730\n93447 100000\n89771 100000\n60629 90904\n1825 2753\n83889 100000\n23204 34839\n89757 100000\n59766 89613\n3011 4561\n40932 61295\n97935 100000\n87413 100000\n75974 100000\n40803 61091\n19110 28709\n98724 100000\n65640 98456\n36390 54492\n75929 100000\n99346 100000\n65893 98843\n78070 100000\n26049 39078\n15656 23526\n22128 33236\n27691 41514\n72826 100000\n65498 98250\n77805 100000\n71084 100000\n35751 53516\n71743 100000\n64051 96068\n48667 72898\n18732 28115\n80408 100000\n57585 86312\n19466 29251\n79687 100000\n82093 100000\n47007 70376\n90978 100000\n66230 99342\n29108 43630\n48280 72304\n99375 100000\n10520 15827\n96408 100000\n21972 32999\n80012 100000\n78867 100000\n35777 53556\n81147 100000\n7738 11656\n80615 100000\n74100 100000\n73082 100000\n99491 100000\n46279 69292\n85256 100000\n55016 82408\n64764 97139\n1008 1510\n95879 100000\n21569 32393\n44597 66759\n58711 87994\n1044 1568\n9355 14071\n9206 13848\n33399 50037\n95959 100000\n89982 100000\n2080 3145\n97860 100000\n39954 59812\n11431 17221\n1187 1778\n6269 9456\n1418 2118\n34976 52371\n56790 85104\n28082 42107\n11588 17453\n31187 46726\n13860 20851\n12238 18419\n75961 100000\n78990 100000\n61604 92371\n30977 46412\n31388 47024\n2221 3360\n74021 100000\n67933 100000\n87911 100000\n65970 98952\n55717 83474\n1049 1575\n43026 64424\n88435 100000\n20352 30577\n26974 40435\n76528 100000\n33360 49977\n40015 59906\n44246 66234\n95712 100000\n76345 100000\n61955 92912\n47597 71267\n39659 59351\n75074 100000\n15228 22898\n10007 15055\n45511 68135\n50294 75350\n62011 92998\n25320 37980\n99854 100000\n44724 66965\n45893 68708\n86072 100000\n22843 34303\n24364 36565\n56812 85139\n44324 66351\n66291 99432\n44533 66663\n67395 100000\n17841 26786\n8878 13355\n9398 14134\n76864 100000\n2730 4135\n72027 100000\n74305 100000\n68430 100000\n68928 100000\n10250 15425\n67963 100000\n2375 3599\n63226 94816\n96627 100000\n56563 84757\n96666 100000\n20096 30191\n73378 100000\n23071 34643\n39875 59694\n15584 23422\n16039 24085\n88056 100000\n28010 41991\n45897 68714\n63974 95948\n5084 7679\n27740 41585\n48739 73013\n66335 99502\n84867 100000\n75327 100000\n74903 100000\n52228 78225\n19437 29207\n86182 100000\n72219 100000\n18537 27828\n71826 100000\n73608 100000\n99513 100000\n9759 14677\n76744 100000\n9576 14399\n51905 77748\n85660 100000\n66677 100000\n4385 6618\n6664 10056\n22385 33626\n7018 10594\n20603 30953\n27036 40530\n1416 2115\n94230 100000\n48202 72185\n59031 88475\n79288 100000\n3586 5407\n12913 19439\n11860 17856\n14252 21448\n58748 88053\n46396 69459\n65848 98773\n71777 100000\n22145 33263\n58597 87818\n35614 53320\n16168 24283\n11603 17472\n29515 44224\n71626 100000\n17927 26911\n90372 100000\n53684 80412\n92009 100000\n61574 92328\n42631 63836\n51450 77090\n55791 83586\n78192 100000\n38618 57805\n39717 59438\n15297 22999\n51242 76777\n69930 100000\n90222 100000\n26088 39136\n16522 24813\n28124 42175\n59887 89790\n23484 35254\n27596 41375\n44291 66299\n47001 70365\n59804 89665\n50216 75234\n12149 18278\n81372 100000\n85197 100000\n93975 100000\n36838 55156\n35810 53599\n74599 100000\n28926 43359\n87136 100000\n81812 100000\n65196 97808\n50966 76359\n84617 100000\n76281 100000\n29122 43650\n9215 13859\n6454 9737\n94705 100000\n12852 19345\n56049 83979\n76711 100000\n61440 92117\n27196 40770\n61134 91657\n55998 83902\n16562 24869\n55695 83440\n85971 100000\n15254 22938\n13225 19908\n15777 23707\n21418 32167\n68861 100000\n5772 8708\n47302 70827\n65492 98238\n20751 31180\n57795 86619\n29872 44759\n14245 21437\n94267 100000\n73227 100000\n66769 100000\n17132 25714\n72936 100000\n62349 93499\n77657 100000\n38005 56893\n84702 100000\n69354 100000\n81593 100000\n13071 19675\n2543 3855\n10730 16154\n62210 93292\n56301 84356\n93515 100000\n79592 100000\n69674 100000\n36550 54736\n53710 80450\n57316 85894\n65180 97784\n55354 82924\n57843 86690\n46722 69956\n96863 100000\n99680 100000\n31139 46648\n36432 54562\n17427 26165\n76576 100000\n71539 100000\n87441 100000\n66863 100000\n36360 54446\n30454 45638\n36741 55019\n83288 100000\n8135 12241\n72122 100000\n32370 48481\n71739 100000\n78737 100000\n13425 20210\n54373 81453\n43977 65824\n75091 100000\n41840 62671\n2008 3029\n29807 44662\n54872 82197\n71809 100000\n91546 100000\n51860 77683\n95565 100000\n53964 80841\n78497 100000\n84540 100000\n86195 100000\n38954 58309\n50847 76179\n83176 100000\n40527 60679\n54638 81849\n75516 100000\n17465 26223\n14788 22248\n7314 11020\n15904 23894\n36210 54215\n1993 3009\n55546 83214\n23808 35735\n4903 7405\n80231 100000\n92329 100000\n83552 100000\n67745 100000\n49047 73473\n32954 49371\n24284 36441\n66476 99709\n680 1018\n12862 19360\n64482 96714\n25611 38422\n8386 12620\n11663 17564\n82072 100000\n60915 91320\n32432 48568\n8196 12335\n47559 71208\n19316 29024\n18182 27296\n18257 27411\n16609 24933\n84720 100000\n50199 75208\n88759 100000\n23947 35937\n65662 98485\n3346 5060\n67878 100000\n67672 100000\n52071 77991\n56139 84117\n81247 100000\n62114 93151\n87899 100000\n96815 100000\n37326 55883\n10393 15640\n26961 40415\n67196 100000\n36379 54477\n27437 41138\n89259 100000\n486 724\n5741 8656\n5987 9047\n54263 81290\n37714 56454\n69397 100000\n20803 31256\n25132 37703\n3657 5508\n60417 90580\n42959 64328\n81031 100000\n31583 47309\n50680 75932\n46947 70278\n84619 100000\n32612 48848\n76725 100000\n70555 100000\n75864 100000\n99878 100000\n57144 85629\n6471 9765\n77508 100000\n84769 100000\n32949 49364\n81971 100000\n86811 100000\n12002 18059\n85060 100000\n27097 40621\n25962 38951\n63640 95443\n95014 100000\n38404 57500\n13404 20180\n90419 100000\n56644 84886\n11979 18023\n69639 100000\n47841 71634\n13391 20158\n57505 86180\n10697 16103\n20673 31060\n62477 93703\n69561 100000\n13579 20438\n83467 100000\n30427 45601\n92577 100000\n14372 21629\n76743 100000\n42357 63437\n82958 100000\n69834 100000\n23593 35418\n91982 100000\n81263 100000\n10378 15619\n70517 100000\n76500 100000\n82523 100000\n71082 100000\n97665 100000\n52338 78396\n30634 45913\n11876 17878\n65776 98664\n3103 4698\n98310 100000\n31397 47038\n58766 88084\n19260 28939\n68371 100000\n90594 100000\n42216 63225\n22908 34399\n3256 4923\n30559 45797\n14176 21343\n61304 91911\n92339 100000\n95516 100000\n41264 61794\n57493 86160\n20525 30836\n28532 42778\n5715 8618\n74610 100000\n90344 100000\n62077 93090\n85779 100000\n8753 13170\n85557 100000\n91797 100000\n43781 65543\n17805 26729\n8870 13342\n83259 100000\n61 87\n74312 100000\n76666 100000\n70221 100000\n38409 57505\n63782 95664\n78078 100000\n54118 81076\n80280 100000\n99104 100000\n28274 42396\n35414 53013\n52167 78129\n38095 57028\n51580 77279\n26669 39984\n59285 88869\n49698 74458\n99159 100000\n12134 18258\n94684 100000\n25314 37971\n26519 39772\n97637 100000\n22356 33581\n99162 100000\n86982 100000\n68843 100000\n54095 81045\n34082 51065\n53791 80581\n63827 95737\n65830 98743\n2738 4147\n35629 53341\n82725 100000\n6954 10503\n48579 72762\n8990 13522\n83252 100000\n1842 2777\n65236 97867\n4949 7477\n27911 41840\n64228 96340\n98718 100000\n37096 55540\n7483 11276\n51462 77108\n98084 100000\n82254 100000\n56440 84569\n52355 78421\n2895 4379\n5472 8258\n88791 100000\n89718 100000\n67055 100000\n51967 77838\n80518 100000\n64888 97336\n57755 86565\n53204 79685\n57613 86354\n62220 93308\n41687 62432\n2910 4406\n93028 100000\n3119 4722\n68084 100000\n8059 12138\n33095 49577\n21768 32690\n33349 49962\n96507 100000\n96026 100000\n32460 48612\n58677 87939\n34569 51774\n93991 100000\n21266 31936\n58729 88021\n13387 20152\n84035 100000\n59695 89502\n99190 100000\n73169 100000\n70232 100000\n64596 96889\n34687 51943\n48492 72630\n38156 57117\n3614 5448\n37582 56258\n72035 100000\n95113 100000\n86254 100000\n12861 19358\n73479 100000\n39695 59407\n90506 100000\n88743 100000\n98083 100000\n17305 25974\n20423 30689\n46258 69259\n40711 60953\n92335 100000\n18606 27930\n77490 100000\n35485 53123\n48206 72192\n42706 63952\n91206 100000\n32257 48317\n59381 89020\n79902 100000\n57135 85617\n14943 22484\n87824 100000\n62332 93476\n42402 63504\n19222 28883\n53354 79915\n35594 53292\n7033 10613\n28948 43392\n73072 100000\n74008 100000\n23070 34642\n62819 94214\n83665 100000\n62543 93799\n27299 40926\n15763 23688\n66056 99078\n17274 25927\n44632 66817\n76224 100000\n72623 100000\n45237 67725\n19952 29977\n69759 100000\n6736 10175\n31015 46466\n36996 55387\n14048 21143\n61578 92335\n28024 42015\n60140 90161\n16954 25449\n76865 100000\n13223 19906\n8748 13161\n6554 9892\n41530 62192\n50810 76127\n99714 100000\n7240 10913\n16186 24313\n57487 86151\n64775 97157\n89253 100000\n25106 37664\n84473 100000\n21426 32178\n56212 84227\n36050 53970\n52554 78728\n8214 12360\n4709 7110\n43998 65852\n67173 100000\n61378 92020\n59478 89167\n77600 100000\n78817 100000\n86223 100000\n62770 94145\n39961 59822\n21473 32249\n32973 49398\n20234 30401\n68531 100000\n80863 100000\n55304 82846\n70988 100000\n35225 52732\n17790 26708\n18024 27057\n70490 100000\n38653 57849\n90354 100000\n96634 100000\n41798 62603\n44210 66178\n327 491\n35204 52698\n85478 100000\n37485 56116\n7102 10708\n57863 86722\n53995 80888\n22155 33277\n16202 24333\n89518 100000\n87759 100000\n33806 50642\n48331 72383\n16641 24975\n27222 40809\n59603 89363\n62369 93530\n61833 92715\n7109 10717\n53108 79550\n21526 32327\n42684 63916\n87634 100000\n2831 4282\n92969 100000\n4639 7007\n16388 24608\n85364 100000\n52036 77938\n75863 100000\n67543 100000\n92928 100000\n74884 100000\n71548 100000\n42421 63532\n12466 18764\n37729 56477\n42564 63741\n42289 63332\n94591 100000\n61372 92012\n31062 46530\n66760 100000\n47552 71197\n4088 6170\n98936 100000\n99445 100000\n81617 100000\n92630 100000\n60176 90216\n42153 63125\n49178 73677\n55591 83285\n55084 82514\n4283 6466\n3219 4869\n41176 61659\n63916 95869\n64513 96762\n73347 100000\n5295 7992\n91253 100000\n65320 97992\n56403 84513\n56731 85016\n16707 25076\n41352 61923\n22022 33071\n65318 97989\n59242 88797\n78680 100000\n40901 61248\n90207 100000\n55066 82483\n75805 100000\n99876 100000\n35365 52942\n29261 43847\n97461 100000\n13965 21010\n64882 97325\n53456 80069\n82938 100000\n36774 55068\n35739 53499\n56079 84026\n76545 100000\n84374 100000\n23931 35912\n81633 100000\n33668 50450\n69202 100000\n53589 80268\n5233 7898\n79502 100000\n58017 86960\n24558 36851\n78539 100000\n60721 91044\n81024 100000\n75701 100000\n96722 100000\n28831 43214\n63939 95902\n57042 85482\n19372 29114\n72279 100000\n33005 49443\n14709 22130\n72949 100000\n36472 54621\n84955 100000\n71728 100000\n82253 100000\n75774 100000\n48887 73238\n9677 14551\n84976 100000\n15963 23975\n37018 55419\n43350 64912\n16540 24838\n54324 81380\n55372 82950\n96771 100000\n3270 4946\n99782 100000\n60058 90044\n19732 29639\n25656 38489\n63466 95172\n82511 100000\n89177 100000\n76046 100000\n49647 74385\n55288 82823\n40612 60807\n22269 33457\n70526 100000\n36955 55324\n46323 69354\n55761 83539\n50659 75900\n31769 47593\n43107 64548\n52646 78856\n74792 100000\n4889 7384\n21150 31769\n81773 100000\n63087 94610\n13615 20490\n17522 26309\n25670 38511\n34077 51057\n13188 19851\n1995 3011\n37501 56139\n83163 100000\n15704 23598\n28423 42615\n48726 72992\n3906 5881\n89408 100000\n74589 100000\n25595 38398\n92878 100000\n87874 100000\n26317 39481\n114 165\n60164 90198\n43692 65405\n77909 100000\n37615 56309\n73337 100000\n69376 100000\n81936 100000\n91905 100000\n76079 100000\n62449 93663\n61747 92586\n49189 73694\n42889 64219\n51684 77428\n98715 100000\n98544 100000\n16169 24284\n9357 14075\n18896 28378\n46023 68896\n64224 96334\n57332 85919\n73779 100000\n55774 83559\n30664 45961\n93534 100000\n10246 15418\n97431 100000\n92288 100000\n91673 100000\n33484 50165\n3269 4944\n63671 95494\n11089 16704\n24225 36350\n61397 92052\n46102 69020\n12460 18756\n70948 100000\n47858 71659\n85222 100000\n77677 100000\n26810 40193\n42043 62961\n10235 15401\n18603 27925\n26820 40208\n98339 100000\n91971 100000\n32415 48545\n49295 73848\n53585 80261\n8778 13205\n36621 54840\n40848 61160\n50631 75856\n39710 59429\n57054 85502\n43916 65734\n4202 6343\n89987 100000\n2579 3908\n37728 56475\n41485 62128\n12709 19130\n78153 100000\n73516 100000\n90 134\n52260 78273\n24268 36418\n19142 28758\n88719 100000\n70884 100000\n4647 7018\n71504 100000\n43452 65056\n34303 51396\n56277 84321\n73006 100000\n78006 100000\n12695 19109\n97107 100000\n55616 83322\n19876 29861\n88880 100000\n40329 60374\n39407 58987\n35441 53059\n30008 44959\n39261 58768\n95598 100000\n131 188\n58512 87697\n23427 35166\n40585 60766\n83980 100000\n19086 28669\n59056 88510\n92277 100000\n79020 100000\n80882 100000\n60872 91255\n30401 45558\n8737 13146\n4026 6071\n99866 100000\n32984 49412\n31389 47025\n9365 14086\n84269 100000\n90166 100000\n96614 100000\n52258 78269\n17339 26029\n45022 67403\n62838 94244\n64341 96512\n54814 82115\n30356 45487\n46657 69859\n66305 99453\n91351 100000\n72528 100000\n55810 83613\n27813 41698\n38689 57903\n85209 100000\n5077 7669\n22247 33421\n69800 100000\n69688 100000\n15845 23805\n28449 42654\n99337 100000\n14517 21839\n83962 100000\n928 1386\n9274 13950\n37354 55919\n28548 42804\n465 695\n50820 76140\n31170 46696\n4864 7348\n6580 9931\n66143 99212\n91619 100000\n2576 3904\n34896 52255\n91884 100000\n93285 100000\n57671 86436\n81461 100000\n66499 99747\n2287 3459\n70298 100000\n70192 100000\n10763 16206\n33989 50924\n95069 100000\n99704 100000\n65516 98275\n74135 100000\n40574 60749\n88859 100000\n98856 100000\n28740 43084\n69556 100000\n60216 90276\n60609 90870\n60134 90151\n9784 14715\n85012 100000\n66038 99052\n91980 100000\n62702 94041\n24906 37364\n79338 100000\n11109 16734\n33287 49872\n81807 100000\n59600 89357\n87574 100000\n66826 100000\n4081 6160\n83022 100000\n53920 80771\n42426 63538\n36230 54248\n85324 100000\n30913 46315\n81791 100000\n51523 77201\n80206 100000\n39891 59718\n10183 15322\n13505 20319\n35281 52819\n14950 22497\n17265 25913\n58531 87722\n950 1422\n4204 6345\n69766 100000\n80726 100000\n46367 69420\n72638 100000\n45967 68819\n85049 100000\n48654 72878\n69976 100000\n55003 82387\n1910 2887\n25165 37747\n34837 52168\n32349 48449\n84872 100000\n18607 27932\n22574 33902\n52564 78742\n63668 95489\n4938 7458\n99399 100000\n82513 100000\n61136 91659\n16317 24506\n11815 17795\n39488 59099\n91472 100000\n93996 100000\n21927 32929\n53972 80852\n45639 68324\n2528 3832\n36222 54234\n53217 79703\n76262 100000\n67769 100000\n57721 86516\n97569 100000\n657 981\n88989 100000\n66799 100000\n95206 100000\n34583 51793\n3896 5865\n74958 100000\n65077 97621\n37854 56662\n6669 10065\n78274 100000\n43546 65194\n564 844\n33033 49486\n76450 100000\n39142 58593\n56503 84664\n31869 47745\n1610 2410\n52148 78102\n63218 94806\n36588 54792\n16653 24991\n50815 76133\n86258 100000\n7220 10885\n3055 4630\n47587 71251\n87606 100000\n91082 100000\n9620 14462\n15162 22806\n25252 37879\n93215 100000\n31146 46659\n35952 53819\n63751 95617\n80311 100000\n37924 56767\n53020 79414\n25368 38053\n69587 100000\n25272 37911\n64845 97268\n95240 100000\n78828 100000\n42972 64350\n21638 32500\n45174 67630\n2719 4117\n67949 100000\n39423 59010\n48589 72777\n67003 100000\n24518 36795\n40199 60184\n89917 100000\n26325 39491\n34209 51256\n35162 52640\n48717 72978\n78252 100000\n63275 94892\n14715 22137\n82562 100000\n29934 44848\n44298 66310\n80363 100000\n21047 31612\n66329 99492\n38901 58227\n36747 55026\n92015 100000\n39876 59696\n99679 100000\n44995 67367\n25260 37891\n47668 71370\n14232 21419\n83166 100000\n54406 81501\n820 1229\n16732 25108\n86707 100000\n56382 84482\n31812 47658\n38812 58092\n18563 27866\n93256 100000\n69966 100000\n58607 87832\n68846 100000\n25574 38365\n21955 32975\n89414 100000\n15920 23915\n81517 100000\n33683 50467\n39955 59813\n80312 100000\n49942 74829\n57823 86661\n31367 46996\n13330 20063\n74058 100000\n30098 45092\n4646 7017\n92206 100000\n69623 100000\n96971 100000\n46490 69605\n64675 97005\n62317 93457\n69936 100000\n52881 79209\n69092 100000\n77604 100000\n36201 54203\n24944 37417\n2745 4158\n73643 100000\n64469 96694\n91483 100000\n39902 59735\n52854 79167\n92657 100000\n72992 100000\n70642 100000\n49211 73725\n76427 100000\n99278 100000\n54530 81692\n56383 84484\n34964 52356\n94725 100000\n36265 54299\n84963 100000\n71207 100000\n22207 33361\n907 1350\n49971 74877\n77575 100000\n4851 7326\n36093 54034\n20495 30796\n60890 91281\n56621 84851\n81291 100000\n4306 6501\n50269 75313\n34483 51657\n37568 56239\n41668 62401\n50634 75861\n21796 32732\n96756 100000\n99582 100000\n24667 37015\n10010 15059\n42363 63449\n25647 38474\n79598 100000\n21390 32123\n37586 56264\n89457 100000\n57808 86641\n11624 17504\n53180 79651\n68952 100000\n83124 100000\n64288 96429\n94450 100000\n76067 100000\n3517 5307\n62593 93873\n70483 100000\n49629 74356\n91966 100000\n9915 14918\n24025 36053\n26254 39389\n37832 56630\n5259 7939\n47879 71693\n15807 23751\n22817 34262\n85899 100000\n56669 84925\n43538 65181\n93116 100000\n94728 100000\n4094 6179\n30096 45089\n66950 100000\n9083 13646\n45323 67851\n80797 100000\n82941 100000\n70244 100000\n89402 100000\n2700 4092\n78358 100000\n72795 100000\n97051 100000\n32256 48316\n58144 87152\n93602 100000\n37838 56638\n65027 97545\n20565 30900\n85868 100000\n1979 2989\n92890 100000\n51716 77474\n95158 100000\n56220 84239\n26594 39882\n93077 100000\n87270 100000\n52066 77984\n96551 100000\n95208 100000\n1723 2589\n27797 41675\n47642 71332\n33463 50133\n64802 97203\n51988 77866\n53110 79553\n91332 100000\n52320 78370\n43137 64590\n2680 4058\n37819 56615\n16259 24422\n1591 2384\n73314 100000\n93619 100000\n32259 48319\n69339 100000\n60617 90885\n86250 100000\n64610 96913\n67062 100000\n92757 100000\n52020 77916\n76664 100000\n8765 13187\n4502 6792\n96004 100000\n3362 5081\n36891 55235\n47174 70629\n82529 100000\n65704 98550\n75102 100000\n22223 33385\n67520 100000\n60575 90819\n74687 100000\n60300 90403\n36408 54519\n69352 100000\n59532 89252\n50298 75356\n95627 100000\n24411 36638\n71204 100000\n94773 100000\n75145 100000\n62076 93089\n661 986\n2538 3848\n46458 69554\n62205 93284\n31720 47523\n25922 38892\n62363 93520\n71714 100000\n37231 55744\n10306 15506\n8901 13387\n32229 48273\n89774 100000\n92791 100000\n53631 80329\n35923 53774\n26627 39927\n23137 34741\n22320 33527\n32420 48551\n26972 40433\n47683 71395\n39487 59097\n37982 56855\n82674 100000\n71442 100000\n98087 100000\n81857 100000\n19435 29204\n38822 58108\n16263 24427\n35065 52505\n2041 3081\n85109 100000\n79832 100000\n96612 100000\n86875 100000\n63350 95001\n61141 91666\n41732 62496\n46261 69264\n62804 94193\n82437 100000\n82731 100000\n67320 100000\n81555 100000\n6716 10141\n82318 100000\n43826 65603\n91786 100000\n52364 78431\n9881 14868\n64029 96031\n12481 18789\n12493 18808\n74934 100000\n57199 85713\n20571 30909\n42247 63270\n47615 71293\n55041 82443\n84660 100000\n83201 100000\n31983 47917\n43462 65070\n75626 100000\n56399 84506\n64796 97193\n2238 3387\n24463 36718\n47640 71329\n15472 23258\n98951 100000\n30118 45123\n76806 100000\n99208 100000\n88147 100000\n99969 100000\n90193 100000\n66796 100000\n83346 100000\n47965 71823\n27539 41290\n26312 39476\n66716 100000\n48938 73311\n45713 68433\n65836 98750\n14122 21258\n81578 100000\n94258 100000\n49961 74862\n58164 87182\n84520 100000\n1914 2894\n99495 100000\n66103 99154\n64128 96182\n51311 76878\n17262 25909\n22714 34110\n88923 100000\n19009 28551\n33022 49469\n83565 100000\n12228 18403\n36389 54490\n822 1231\n15423 23189\n3848 5799\n90588 100000\n58443 87593\n24357 36556\n47478 71086\n56465 84608\n16092 24164\n7681 11568\n75738 100000\n67125 100000\n64006 95996\n18767 28171\n63085 94607\n90761 100000\n52044 77950\n3525 5320\n90579 100000\n79097 100000\n41942 62812\n54047 80970\n81514 100000\n97519 100000\n7659 11538\n33719 50516\n51351 76942\n84534 100000\n58813 88151\n50613 75829\n91525 100000\n42737 63997\n84840 100000\n69043 100000\n19100 28693\n42692 63930\n9364 14085\n32705 48991\n73882 100000\n6935 10472\n92687 100000\n93591 100000\n86550 100000\n94117 100000\n29573 44319\n92634 100000\n83679 100000\n11698 17617\n42993 64378\n71292 100000\n75727 100000\n87812 100000\n37772 56546\n56856 85205\n65124 97693\n88355 100000\n84012 100000\n79649 100000\n62511 93752\n29695 44487\n72852 100000\n9316 14011\n75116 100000\n17738 26634\n19694 29583\n35076 52519\n29023 43502\n40215 60208\n66388 99571\n16519 24808\n583 872\n73265 100000\n32699 48981\n48178 72145\n31172 46699\n26553 39823\n51438 77070\n89902 100000\n91686 100000\n13700 20616\n89517 100000\n86590 100000\n50248 75282\n28054 42062\n60589 90839\n77957 100000\n81765 100000\n6631 10007\n42382 63476\n50904 76264\n45331 67862\n84387 100000\n48967 73355\n99840 100000\n25167 37750\n10337 15552\n54763 82043\n74863 100000\n27077 40593\n15359 23098\n11554 17401\n97743 100000\n30453 45636\n80554 100000\n37317 55869\n44923 67264\n17 25\n23610 35442\n48729 72998\n8234 12392\n42511 63666\n62835 94238\n5063 7647\n33982 50914\n97171 100000\n42154 63126\n32291 48366\n37730 56479\n20799 31249\n19523 29336\n64695 97036\n73095 100000\n62906 94344\n96114 100000\n59580 89326\n12016 18080\n13667 20569\n40068 59989\n34336 51440\n20760 31195\n73476 100000\n98188 100000\n97528 100000\n42971 64348\n62916 94360\n10160 15288\n63422 95106\n85613 100000\n90635 100000\n61505 92219\n4893 7391\n72358 100000\n97703 100000\n2446 3713\n91368 100000\n58167 87186\n20987 31525\n2991 4531\n51573 77270\n42768 64043\n28070 42088\n83255 100000\n7325 11036\n234 351\n28051 42058\n2750 4164\n57226 85751\n16093 24166\n85702 100000\n23800 35721\n94906 100000\n11932 17954\n67109 100000\n80287 100000\n79373 100000\n13703 20621\n27781 41649\n53076 79501\n82198 100000\n1659 2487\n84917 100000\n80270 100000\n59303 88897\n13592 20455\n79392 100000\n83953 100000\n14384 21646\n70076 100000\n60974 91407\n80329 100000\n98875 100000\n5684 8573\n49570 74268\n97473 100000\n41990 62881\n47394 70967\n5031 7593\n39151 58605\n82047 100000\n40282 60304\n60789 91140\n34280 51361\n25581 38376\n59648 89428\n64561 96835\n96608 100000\n87094 100000\n71052 100000\n59169 88685\n10910 16431\n86647 100000\n71279 100000\n98862 100000\n91076 100000\n3994 6019\n82357 100000\n36204 54207\n92987 100000\n17731 26625\n75101 100000\n45341 67876\n99371 100000\n80243 100000\n22403 33654\n60739 91071\n27649 41454\n47726 71453\n13842 20822\n88999 100000\n54622 81825\n22099 33193\n63225 94815\n19837 29800\n85790 100000\n11776 17735\n221 331\n12439 18724\n72546 100000\n23979 35985\n78207 100000\n74775 100000\n7027 10605\n21420 32171\n62698 94034\n69419 100000\n73675 100000\n28265 42383\n80291 100000\n54078 81017\n47607 71280\n26323 39488\n42055 62980\n88475 100000\n52935 79293\n35963 53835\n58224 87265\n86198 100000\n38240 57245\n15707 23604\n63880 95818\n2838 4293\n99992 100000\n33903 50789\n2771 4191\n90737 100000\n21038 31598\n70434 100000\n10729 16152\n62109 93142\n34881 52235\n35825 53625\n52795 79080\n12406 18675\n88783 100000\n69980 100000\n35567 53254\n31838 47696\n28806 43177\n58845 88199\n10182 15320\n72802 100000\n85581 100000\n25074 37621\n92449 100000\n26800 40179\n84349 100000\n31016 46467\n86912 100000\n29919 44827\n59458 89134\n79709 100000\n6123 9243\n55019 82414\n22844 34305\n27803 41683\n7137 10759\n47115 70537\n72686 100000\n51019 76439\n17396 26119\n13948 20983\n23649 35498\n33891 50772\n37108 55557\n2269 3434\n58372 87486\n23498 35273\n91632 100000\n39181 58653\n35214 52712\n22730 34131\n87485 100000\n91490 100000\n86723 100000\n84109 100000\n56099 84056\n30604 45867\n25013 37527\n29678 44463\n45222 67701\n7872 11854\n44877 67195\n37637 56337\n59389 89032\n28530 42774\n66987 100000\n70992 100000\n32811 49155\n71533 100000\n46378 69435\n37283 55821\n17774 26686\n43287 64818\n18102 27182\n45327 67855\n44867 67180\n18841 28290\n82110 100000\n41575 62258\n72654 100000\n24482 36744\n83768 100000\n1580 2368\n57000 85423\n79066 100000\n26585 39868\n20844 31316\n73945 100000\n97367 100000\n57456 86103\n43789 65552\n70634 100000\n7691 11585\n61583 92341\n26183 39284\n81530 100000\n67853 100000\n49575 74276\n50386 75490\n68556 100000\n78054 100000\n42378 63471\n28147 42208\n77044 100000\n36840 55158\n42324 63385\n88124 100000\n89826 100000\n58302 87388\n98346 100000\n30 45\n25526 38291\n56266 84308\n56329 84400\n32040 47994\n19295 28994\n6260 9442\n42680 63910\n79782 100000\n68244 100000\n79509 100000\n96071 100000\n1699 2552\n47183 70642\n56751 85044\n80795 100000\n55370 82948\n80215 100000\n57256 85800\n63685 95517\n89876 100000\n50444 75566\n68391 100000\n16214 24350\n56302 84357\n63383 95049\n54553 81726\n75278 100000\n71799 100000\n45925 68754\n80827 100000\n15784 23717\n28210 42303\n57349 85942\n62665 93983\n63103 94633\n44297 66309\n85768 100000\n37434 56037\n19729 29636\n75667 100000\n94059 100000\n28061 42073\n25001 37506\n46152 69091\n45193 67659\n96237 100000\n34001 50937\n7447 11220\n46037 68918\n86310 100000\n79343 100000\n9862 14838\n59454 89129\n34754 52047\n37771 56544\n42029 62938\n78031 100000\n85666 100000\n36627 54848\n6029 9105\n22289 33486\n21296 31978\n36871 55205\n64987 97486\n27848 41748\n68865 100000\n25613 38424\n9645 14502\n11419 17203\n5011 7563\n89670 100000\n80388 100000\n66601 99902\n99689 100000\n48773 73065\n98816 100000\n91896 100000\n14832 22312\n99492 100000\n7485 11279\n24644 36981\n97966 100000\n88866 100000\n97056 100000\n73624 100000\n76926 100000\n30235 45304\n2928 4432\n10512 15816\n93475 100000\n77050 100000\n41628 62338\n40824 61122\n74909 100000\n53625 80320\n94418 100000\n38120 57065\n85560 100000\n32785 49113\n90405 100000\n9250 13916\n10537 15852\n5708 8609\n75837 100000\n59892 89798\n79324 100000\n31612 47358\n43533 65172\n33690 50477\n84870 100000\n49776 74579\n31524 47224\n55983 83876\n61024 91487\n55730 83496\n75796 100000\n40749 61005\n38620 57808\n44335 66369\n66690 100000\n58046 87002\n80296 100000\n69304 100000\n39264 58773\n23890 35848\n98037 100000\n859 1276\n76184 100000\n2721 4121\n38519 57668\n77358 100000\n32429 48565\n26495 39740\n33160 49672\n92811 100000\n80696 100000\n32384 48498\n50387 75491\n73468 100000\n16676 25026\n42940 64296\n16353 24556\n8131 12236\n9359 14077\n94648 100000\n44855 67162\n83225 100000\n6382 9630\n35187 52672\n97754 100000\n722 1077\n24179 36285\n23904 35871\n95205 100000\n53534 80183\n76825 100000\n94447 100000\n67089 100000\n14425 21703\n83535 100000\n25705 38564\n93848 100000\n1576 2362\n77136 100000\n6414 9674\n2621 3973\n33784 50611\n59939 89868\n49135 73611\n95135 100000\n65131 97704\n76480 100000\n87160 100000\n19901 29900\n92086 100000\n19285 28978\n43760 65514\n80968 100000\n45905 68725\n77759 100000\n10449 15722\n61259 91848\n19707 29602\n26928 40368\n118 169\n24376 36586\n72433 100000\n39048 58455\n54458 81582\n84445 100000\n6547 9882\n59265 88834\n12063 18152\n48731 73001\n13776 20722\n88230 100000\n73770 100000\n19108 28706\n47710 71431\n60238 90307\n22016 33063\n38393 57483\n89176 100000\n69725 100000\n44875 67193\n42518 63675\n96427 100000\n66466 99693\n62630 93929\n24198 36311\n17231 25862\n39001 58384\n95546 100000\n80786 100000\n32289 48363\n12873 19378\n62862 94284\n49853 74698\n33771 50592\n86098 100000\n17877 26839\n66610 99913\n82229 100000\n7444 11214\n58184 87207\n41774 62562\n28376 42544\n59152 88659\n99204 100000\n23181 34805\n7487 11282\n23873 35824\n88006 100000\n32298 48375\n82097 100000\n23899 35862\n83888 100000\n51047 76481\n88484 100000\n64728 97087\n59743 89576\n88991 100000\n92446 100000\n69903 100000\n9967 14993\n48645 72865\n80904 100000\n26702 40038\n73013 100000\n69715 100000\n6784 10247\n1550 2320\n26266 39405\n33257 49824\n73330 100000\n75978 100000\n51424 77049\n98541 100000\n50113 75084\n33453 50116\n13620 20498\n92234 100000\n29736 44554\n12285 18490\n97045 100000\n39556 59197\n42809 64103\n50411 75522\n5771 8707\n20427 30696\n33801 50635\n41978 62865\n20767 31203\n92825 100000\n40995 61388\n51004 76415\n35708 53457\n87872 100000\n86757 100000\n53227 79718\n45053 67452\n9634 14485\n75128 100000\n31375 47008\n66347 99519\n72186 100000\n53039 79443\n97660 100000\n44371 66424\n1329 1985\n44935 67282\n48224 72218\n79228 100000\n6761 10214\n53641 80345\n15921 23916\n60782 91130\n39576 59226\n89983 100000\n9976 15007\n85275 100000\n8181 12312\n93156 100000\n13806 20765\n83345 100000\n8667 13040\n18095 27168\n47961 71816\n5896 8909\n754 1127\n77958 100000\n18458 27710\n4506 6798\n33635 50398\n7054 10638\n60430 90600\n12556 18903\n64707 97056\n96111 100000\n56515 84682\n66201 99297\n29610 44374\n37750 56510\n68281 100000\n96781 100000\n74059 100000\n96801 100000\n77011 100000\n89338 100000\n35122 52583\n62379 93544\n73134 100000\n32995 49429\n44558 66701\n56744 85035\n56424 84548\n99496 100000\n45626 68307\n38097 57032\n14514 21833\n11996 18050\n20739 31163\n17243 25882\n8852 13317\n46895 70201\n22004 33044\n95912 100000\n80581 100000\n81426 100000\n8733 13138\n82160 100000\n19114 28716\n4130 6232\n53838 80649\n5213 7873\n60075 90071\n47291 70809\n22538 33851\n90646 100000\n19610 29465\n64351 96527\n21590 32423\n89202 100000\n59116 88605\n55798 83594\n94617 100000\n84125 100000\n91617 100000\n60497 90706\n6883 10396\n60664 90957\n771 1153\n88481 100000\n27956 41907\n90781 100000\n14881 22387\n29062 43563\n32438 48578\n75816 100000\n95740 100000\n26604 39895\n1239 1858\n64839 97259\n9393 14129\n82919 100000\n95694 100000\n93526 100000\n29710 44513\n48592 72783\n48156 72112\n65094 97649\n76304 100000\n11368 17128\n6977 10537\n55196 82684\n22943 34452\n64220 96328\n19258 28937\n88194 100000\n27831 41726\n85346 100000\n11539 17380\n12524 18854\n62660 93974\n1510 2259\n58905 88287\n69302 100000\n69732 100000\n15111 22727\n59699 89507\n53196 79673\n2893 4376\n86292 100000\n99897 100000\n5854 8839\n3519 5311\n82341 100000\n60762 91103\n5934 8965\n8486 12764\n31405 47051\n42463 63595\n12152 18283\n68519 100000\n55532 83193\n50660 75902\n65002 97508\n81138 100000\n18011 27039\n61829 92709\n96176 100000\n28721 43055\n77502 100000\n33451 50114\n69139 100000\n92787 100000\n98070 100000\n6715 10140\n31131 46637\n1140 1710\n31484 47161\n13377 20139\n1814 2737\n85495 100000\n1379 2061\n70881 100000\n2881 4357\n82634 100000\n35774 53550\n78660 100000\n79853 100000\n78748 100000\n60071 90065\n16687 25045\n14770 22218\n92021 100000\n13833 20807\n74922 100000\n51677 77418\n83828 100000\n52562 78740\n68115 100000\n25590 38392\n12263 18459\n2808 4242\n97987 100000\n8646 13007\n66963 100000\n68836 100000\n57466 86117\n60315 90427\n49248 73778\n67787 100000\n46354 69399\n85772 100000\n12510 18830\n16063 24121\n96074 100000\n73970 100000\n30418 45586\n40818 61113\n75223 100000\n73799 100000\n40272 60293\n15373 23117\n47756 71502\n94161 100000\n73879 100000\n99803 100000\n46003 68870\n91765 100000\n25794 38703\n44763 67023\n39089 58513\n30281 45376\n84590 100000\n95139 100000\n7009 10583\n76970 100000\n52386 78464\n38674 57877\n15985 24008\n54237 81250\n90189 100000\n19262 28943\n19393 29147\n20040 30106\n4696 7090\n37327 55885\n54283 81322\n30946 46366\n77112 100000\n39489 59100\n343 515\n9475 14247\n17223 25850\n34599 51819\n58739 88038\n54695 81939\n38775 58032\n31221 46780\n22461 33738\n15767 23694\n44926 67268\n25698 38552\n39926 59770\n71122 100000\n10232 15397\n28977 43436\n95077 100000\n41166 61644\n68109 100000\n36303 54356\n26230 39353\n22731 34133\n9664 14532\n71176 100000\n92157 100000\n76299 100000\n44663 66869\n40375 60449\n53607 80296\n91084 100000\n86069 100000\n57270 85822\n61522 92247\n14374 21631\n69185 100000\n35827 53629\n19368 29107\n85798 100000\n15014 22590\n39365 58919\n18813 28246\n19489 29286\n36800 55102\n67573 100000\n29479 44173\n46955 70291\n19238 28910\n4451 6718\n83615 100000\n38912 58244\n20428 30698\n17163 25764\n56117 84084\n96777 100000\n2926 4429\n90798 100000\n67576 100000\n11612 17486\n8903 13390\n26977 40438\n76126 100000\n83306 100000\n71757 100000\n4877 7369\n54745 82014\n73287 100000\n40093 60026\n99061 100000\n69811 100000\n97701 100000\n34009 50950\n62123 93164\n66299 99445\n98535 100000\n55471 83102\n6681 10086\n89121 100000\n48902 73260\n84549 100000\n75950 100000\n30123 45131\n22644 34004\n84960 100000\n52696 78926\n39900 59732\n70528 100000\n95438 100000\n20620 30978\n66451 99669\n45479 68087\n29998 44943\n74817 100000\n91674 100000\n75008 100000\n64069 96095\n54996 82378\n34716 51988\n65092 97645\n56444 84576\n28340 42492\n25176 37765\n92669 100000\n65189 97797\n49578 74281\n11625 17505\n6996 10564\n12473 18776\n35529 53191\n50307 75370\n34808 52127\n97093 100000\n21075 31655\n72032 100000\n95795 100000\n80998 100000\n70726 100000\n9155 13767\n76105 100000\n35802 53588\n58141 87147\n82205 100000\n20652 31029\n38462 57583\n43357 64919\n22971 34491\n19219 28879\n28656 42961\n85810 100000\n21241 31901\n15665 23540\n50474 75616\n40141 60098\n76207 100000\n40017 59908\n6645 10026\n48209 72197\n53113 79556\n44785 67056\n15490 23285\n55919 83779\n35131 52595\n85700 100000\n75550 100000\n32857 49221\n3767 5675\n14231 21418\n53297 79831\n78412 100000\n58209 87244\n66180 99264\n25996 38994\n30287 45386\n717 1071\n9650 14509\n559 837\n6425 9692\n5964 9013\n83675 100000\n80359 100000\n56269 84311\n79388 100000\n9079 13641\n78587 100000\n24776 37170\n26243 39375\n7446 11218\n59034 88480\n27214 40798\n24263 36409\n96247 100000\n40965 61342\n83342 100000\n23673 35535\n12215 18384\n1640 2458\n21497 32285\n71147 100000\n49093 73546\n25503 38258\n50340 75421\n47518 71149\n77226 100000\n15743 23660\n85646 100000\n79872 100000\n55732 83499\n96403 100000\n78857 100000\n92841 100000\n40664 60885\n38003 56891\n94010 100000\n69983 100000\n11500 17320\n73179 100000\n64263 96390\n89717 100000\n53238 79737\n81975 100000\n82985 100000\n23911 35880\n26876 40292\n85500 100000\n49820 74647\n78850 100000\n19637 29506\n13244 19939\n40695 60928\n12812 19284\n88638 100000\n2411 3657\n56114 84080\n33971 50895\n79482 100000\n25838 38770\n73958 100000\n22176 33309\n41836 62665\n62165 93227\n95576 100000\n81976 100000\n86003 100000\n5088 7687\n94069 100000\n59089 88564\n13837 20813\n26155 39238\n57932 86833\n96027 100000\n65102 97659\n81533 100000\n64715 97067\n76199 100000\n26360 39544\n9332 14036\n75954 100000\n39681 59384\n48325 72375\n67730 100000\n37250 55773\n38467 57589\n17779 26693\n12355 18598\n62598 93879\n7288 10978\n7749 11673\n80108 100000\n7059 10647\n9153 13763\n34115 51114\n33450 50112\n3764 5669\n52397 78480\n4957 7487\n11437 17229\n18812 28244\n10952 16491\n71929 100000\n60475 90669\n48097 72023\n87644 100000\n90303 100000\n66060 99084\n71913 100000\n30706 46019\n32074 48045\n55303 82845\n90866 100000\n69625 100000\n2639 4001\n90802 100000\n27425 41120\n6503 9815\n19346 29073\n12155 18288\n53496 80124\n71254 100000\n18040 27084\n78916 100000\n75365 100000\n87726 100000\n91476 100000\n8290 12479\n56624 84855\n19965 29997\n32320 48408\n76886 100000\n63331 94973\n4846 7318\n83814 100000\n35542 53214\n43138 64591\n59479 89168\n1084 1626\n55229 82732\n23149 34759\n81953 100000\n19159 28786\n8582 12914\n17212 25834\n84200 100000\n93672 100000\n22991 34523\n27000 40471\n72127 100000\n69654 100000\n54744 82012\n68973 100000\n89056 100000\n35424 53032\n49010 73418\n27219 40805\n38956 58311\n41755 62532\n3321 5022\n65268 97916\n18527 27811\n68307 100000\n61840 92726\n65488 98232\n25044 37573\n6908 10435\n88105 100000\n59535 89256\n53047 79457\n37074 55504\n54428 81536\n56955 85353\n45205 67676\n13838 20815\n36249 54274\n47750 71493\n74808 100000\n12249 18437\n8989 13520\n75645 100000\n21684 32566\n37519 56163\n59983 89932\n88302 100000\n56325 84394\n95889 100000\n63109 94643\n263 393\n12731 19162\n2515 3810\n27724 41561\n15597 23442\n83785 100000\n5402 8153\n33164 49676\n1589 2381\n52861 79179\n9368 14092\n21879 32859\n58707 87988\n34315 51413\n50092 75054\n81627 100000\n5056 7634\n93204 100000\n32214 48251\n66688 100000\n96897 100000\n42950 64313\n38821 58107\n81537 100000\n64723 97080\n72373 100000\n86673 100000\n68379 100000\n62769 94143\n32751 49061\n85735 100000\n78543 100000\n38140 57093\n40086 60016\n28077 42098\n36475 54626\n4080 6158\n97953 100000\n42235 63252\n93059 100000\n66085 99126\n44779 67048\n22322 33529\n81909 100000\n74602 100000\n83763 100000\n56201 84211\n79200 100000\n45917 68743\n20920 31428\n42554 63727\n80008 100000\n70662 100000\n28079 42101\n43780 65541\n68818 100000\n3351 5068\n31411 47058\n61170 91709\n92578 100000\n91286 100000\n59397 89044\n59139 88639\n29547 44273\n33413 50061\n7938 11956\n63322 94962\n11390 17160\n32592 48814\n48787 73087\n49759 74553\n26249 39383\n9556 14370\n80966 100000\n44899 67228\n36668 54915\n89628 100000\n73537 100000\n38903 58230\n37437 56041\n55794 83589\n90036 100000\n29152 43693\n81861 100000\n35803 53590\n52008 77895\n29230 43800\n9542 14350\n12283 18487\n69942 100000\n89058 100000\n5064 7649\n67748 100000\n32244 48298\n17411 26142\n2734 4142\n13693 20606\n97291 100000\n43245 64755\n92368 100000\n44859 67168\n2416 3667\n12594 18960\n56936 85322\n95157 100000\n11749 17696\n65259 97902\n99264 100000\n74049 100000\n92454 100000\n29103 43623\n16080 24148\n31775 47603\n9419 14162\n33289 49874\n28941 43383\n45812 68585\n57695 86477\n14690 22099\n22951 34463\n20370 30603\n31225 46786\n56328 84398\n97303 100000\n40400 60484\n41754 62530\n23939 35924\n26987 40452\n82494 100000\n90413 100000\n85920 100000\n13194 19859\n22462 33739\n19608 29462\n89472 100000\n22765 34187\n69916 100000\n73331 100000\n42240 63260\n71944 100000\n22626 33980\n25870 38818\n22962 34477\n40319 60360\n87526 100000\n35375 52957\n934 1397\n42397 63497\n37104 55550\n95122 100000\n34869 52216\n50121 75095\n75140 100000\n76891 100000\n7848 11817\n60353 90481\n88233 100000\n64440 96653\n92045 100000\n84596 100000\n39733 59463\n31296 46888\n83425 100000\n70445 100000\n98751 100000\n14773 22224\n18651 27997\n42720 63974\n38206 57193\n62258 93367\n86992 100000\n89415 100000\n35885 53719\n93194 100000\n78672 100000\n39755 59497\n44776 67044\n63537 95288\n5878 8881\n88196 100000\n78648 100000\n51226 76751\n23845 35783\n12557 18905\n25940 38918\n46540 69686\n50968 76362\n54811 82111\n68195 100000\n78595 100000\n80618 100000\n54601 81795\n18339 27532\n28526 42769\n56773 85078\n29719 44527\n45249 67741\n36656 54897\n45885 68696\n90667 100000\n86048 100000\n11279 16997\n92939 100000\n46064 68958\n62573 93842\n4038 6089\n19514 29323\n1645 2467\n21148 31766\n40573 60747\n22922 34419\n92715 100000\n12189 18341\n12313 18534\n78645 100000\n58912 88299\n3101 4696\n40088 60019\n58763 88079\n38302 57337\n78957 100000\n87935 100000\n36247 54271\n54055 80982\n40777 61051\n83383 100000\n7194 10846\n63278 94896\n43385 64961\n16073 24137\n22744 34155\n10700 16107\n67821 100000\n13138 19774\n68686 100000\n46534 69677\n51722 77481\n13998 21064\n9328 14029\n44965 67322\n92943 100000\n19680 29565\n43039 64441\n98620 100000\n33492 50178\n85044 100000\n4185 6321\n21397 32133\n37258 55783\n68253 100000\n23958 35953\n45730 68459\n60192 90241\n48639 72858\n67253 100000\n67938 100000\n4651 7024\n7800 11746\n85481 100000\n730 1090\n55733 83501\n76159 100000\n95244 100000\n44217 66189\n31018 46470\n26356 39538\n67368 100000\n44264 66261\n66218 99325\n80963 100000\n32630 48874\n9430 14180\n36413 54528\n85090 100000\n53372 79945\n19968 30001\n91251 100000\n23495 35268\n74393 100000\n79149 100000\n97330 100000\n88852 100000\n56876 85235\n60182 90225\n31217 46773\n52255 78265\n89974 100000\n64146 96210\n70059 100000\n96975 100000\n7282 10971\n63436 95124\n37588 56266\n14897 22413\n3719 5600\n70929 100000\n26967 40425\n94607 100000\n69006 100000\n32821 49170\n60318 90431\n24405 36627\n86955 100000\n21061 31635\n59719 89538\n54886 82218\n77231 100000\n71358 100000\n14217 21401\n9228 13884\n22467 33747\n95812 100000\n66184 99270\n13517 20338\n80442 100000\n39865 59678\n6475 9770\n76114 100000\n87307 100000\n90447 100000\n88917 100000\n64524 96781\n52665 78884\n87963 100000\n76647 100000\n16011 24047\n34624 51854\n38431 57537\n87678 100000\n10518 15824\n31750 47567\n47374 70937\n70036 100000\n87689 100000\n53454 80066\n59556 89288\n85456 100000\n22987 34516\n96509 100000\n87540 100000\n34216 51268\n36926 55286\n2192 3314\n16955 25450\n75813 100000\n25091 37645\n5415 8172\n35068 52508\n59079 88545\n32562 48767\n46226 69206\n50744 76027\n30423 45594\n59850 89733\n76869 100000\n188 277\n7575 11417\n60598 90852\n29574 44320\n35486 53125\n69261 100000\n63231 94824\n88191 100000\n54358 81434\n60403 90561\n27816 41703\n14170 21334\n12947 19492\n10315 15520\n88183 100000\n14333 21571\n56313 84374\n49141 73621\n85262 100000\n43580 65241\n20014 30072\n61784 92644\n69500 100000\n1755 2637\n44559 66703\n99024 100000\n57022 85456\n65784 98677\n55567 83250\n6776 10235\n18974 28497\n63605 95391\n34328 51430\n18469 27724\n16135 24230\n28996 43463\n51779 77566\n25222 37838\n94736 100000\n89639 100000\n83279 100000\n61751 92591\n85836 100000\n64193 96285\n21259 31928\n6046 9130\n25372 38058\n88941 100000\n90571 100000\n20780 31220\n81813 100000\n96062 100000\n569 853\n25441 38166\n96810 100000\n25847 38784\n45319 67845\n48169 72131\n78642 100000\n136 196\n27199 40775\n76346 100000\n19946 29969\n86948 100000\n12148 18276\n59561 89295\n39652 59341\n83348 100000\n69996 100000\n39132 58581\n17051 25594\n19755 29672\n21764 32684\n45725 68453\n16821 25253\n11884 17889\n15299 23001\n13752 20688\n98019 100000\n31555 47269\n19683 29569\n82842 100000\n94910 100000\n59671 89462\n45129 67563\n86558 100000\n27888 41806\n77421 100000\n69822 100000\n97231 100000\n40446 60557\n5129 7747\n11298 17026\n10278 15468\n12549 18893\n26104 39160\n20382 30625\n19221 28882\n83868 100000\n93167 100000\n45658 68355\n55496 83142\n28067 42083\n16163 24275\n10149 15269\n99148 100000\n49856 74704\n85417 100000\n70943 100000\n30753 46087\n35210 52706\n9143 13748\n51399 77012\n84683 100000\n65280 97935\n23400 35126\n32778 49103\n62131 93174\n86881 100000\n46439 69526\n85522 100000\n29383 44030\n99873 100000\n68963 100000\n96809 100000\n43012 64404\n94205 100000\n63209 94791\n21744 32654\n57652 86408\n27550 41306\n99953 100000\n30199 45246\n7015 10591\n53259 79771\n58182 87204\n29823 44686\n61330 91951\n74251 100000\n41713 62469\n11026 16607\n12086 18185\n43880 65683\n50930 76306\n39209 58693\n70371 100000\n35101 52557\n92850 100000\n59891 89796\n23004 34543\n70690 100000\n48678 72916\n93420 100000\n34895 52254\n10832 16314\n7448 11222\n29143 43681\n15187 22840\n67142 100000\n65693 98533\n67056 100000\n57915 86805\n75689 100000\n95755 100000\n20136 30246\n72313 100000\n44769 67032\n47111 70532\n10784 16236\n67480 100000\n43000 64386\n61312 91922\n82595 100000\n1428 2133\n1687 2535\n47896 71721\n38566 57728\n82930 100000\n38276 57298\n51528 77207\n9665 14534\n71607 100000\n80370 100000\n73589 100000\n37598 56283\n80866 100000\n55311 82857\n30349 45477\n37205 55702\n26591 39877\n96482 100000\n83020 100000\n30128 45139\n17045 25586\n80038 100000\n38333 57389\n84422 100000\n49879 74741\n10001 15046\n89030 100000\n25621 38435\n58863 88225\n3051 4624\n18710 28087\n94140 100000\n5413 8170\n27722 41559\n58679 87943\n84754 100000\n28915 43342\n20790 31237\n30518 45731\n3556 5366\n67213 100000\n49998 74917\n52952 79315\n44868 67181\n86656 100000\n68939 100000\n42648 63861\n83912 100000\n88559 100000\n5909 8932\n1534 2294\n32250 48307\n95953 100000\n94678 100000\n25952 38936\n62839 94246\n6090 9190\n26647 39953\n3535 5336\n21199 31839\n86625 100000\n28832 43216\n359 542\n3305 4998\n98897 100000\n80576 100000\n67818 100000\n58501 87677\n60069 90062\n46537 69681\n85870 100000\n63922 95877\n38349 57413\n86030 100000\n43922 65742\n48439 72551\n29938 44854\n60927 91335\n80777 100000\n44620 66799\n29617 44383\n9292 13975\n72003 100000\n21990 33021\n90542 100000\n50039 74979\n27741 41587\n5600 8443\n26002 39003\n83072 100000\n97083 100000\n50446 75569\n43495 65120\n22148 33269\n43926 65748\n83486 100000\n3942 5941\n71446 100000\n84389 100000\n87403 100000\n66876 100000\n43226 64726\n83644 100000\n3705 5580\n26028 39046\n73374 100000\n84588 100000\n24097 36161\n23819 35748\n10924 16454\n83849 100000\n58469 87633\n98602 100000\n63207 94788\n40533 60689\n91832 100000\n21994 33028\n56315 84377\n44687 66907\n26235 39361\n15496 23294\n10237 15405\n40858 61176\n57467 86119\n92346 100000\n96535 100000\n16195 24324\n22891 34374\n49628 74355\n49155 73641\n39115 58554\n60845 91220\n1481 2216\n1042 1565\n78138 100000\n85603 100000\n67819 100000\n89322 100000\n92485 100000\n69872 100000\n28062 42075\n27135 40679\n62284 93409\n19458 29239\n85164 100000\n54928 82282\n50247 75281\n26159 39246\n49352 73939\n47198 70667\n88181 100000\n24681 37038\n51934 77788\n65433 98156\n44430 66510\n63465 95171\n38910 58241\n74710 100000\n87969 100000\n80096 100000\n89570 100000\n64811 97219\n86463 100000\n93541 100000\n14116 21250\n1213 1814\n43706 65429\n83725 100000\n16612 24936\n78744 100000\n87359 100000\n54945 82308\n85580 100000\n13554 20397\n37573 56245\n98142 100000\n27921 41857\n40020 59912\n52058 77970\n33951 50864\n63989 95970\n60356 90487\n27783 41652\n39506 59123\n37998 56884\n22957 34470\n25376 38063\n2200 3327\n38705 57928\n4632 6997\n9384 14116\n3875 5837\n97297 100000\n29049 43545\n39590 59247\n91215 100000\n51652 77379\n49962 74863\n7549 11378\n44960 67316\n37393 55975\n41833 62662\n89271 100000\n97320 100000\n93165 100000\n44726 66968\n80501 100000\n44214 66184\n17972 26981\n39352 58901\n75935 100000\n42201 63202\n79111 100000\n78231 100000\n12931 19465\n78701 100000\n48226 72222\n62273 93391\n12164 18303\n18939 28443\n69851 100000\n20164 30290\n87314 100000\n81347 100000\n44928 67271\n50886 76235\n31755 47573\n13163 19813\n55569 83252\n44527 66655\n81628 100000\n58074 87047\n59058 88513\n54155 81130\n55414 83019\n86781 100000\n2330 3525\n47385 70953\n69490 100000\n49921 74798\n90689 100000\n75478 100000\n35749 53512\n36941 55306\n93957 100000\n35229 52739\n83000 100000\n12457 18752\n56240 84269\n12801 19268\n720 1075\n77326 100000\n89909 100000\n74530 100000\n29404 44062\n60740 91072\n80571 100000\n21276 31950\n43313 64856\n58339 87440\n3797 5721\n12795 19260\n81740 100000\n89106 100000\n72553 100000\n627 935\n51306 76871\n95671 100000\n16646 24981\n86538 100000\n86474 100000\n46671 69879\n97584 100000\n91928 100000\n52283 78307\n66113 99168\n35976 53859\n65964 98945\n65072 97614\n45555 68199\n2428 3684\n42186 63180\n99701 100000\n23937 35921\n67010 100000\n41712 62468\n70497 100000\n98996 100000\n6585 9940\n86944 100000\n98292 100000\n8956 13469\n7433 11200\n69108 100000\n67751 100000\n22184 33323\n35212 52709\n16786 25200\n98713 100000\n96631 100000\n39818 59604\n90664 100000\n72598 100000\n33870 50739\n93593 100000\n53798 80591\n21720 32617\n14043 21136\n74616 100000\n18558 27860\n23774 35684\n50347 75429\n22886 34366\n77472 100000\n13760 20699\n20507 30813\n44162 66104\n13461 20259\n69177 100000\n29849 44724\n82149 100000\n18765 28167\n65656 98476\n63403 95078\n36736 55013\n49246 73776\n95320 100000\n68561 100000\n92457 100000\n68120 100000\n96556 100000\n50448 75572\n94274 100000\n87768 100000\n62004 92987\n85972 100000\n80980 100000\n26353 39533\n64653 96975\n63267 94879\n62528 93777\n66233 99347\n12318 18540\n30755 46090\n24108 36176\n29510 44218\n48271 72291\n99922 100000\n38387 57474\n87483 100000\n43195 64677\n11837 17824\n19072 28644\n54353 81425\n46763 70013\n60788 91138\n89295 100000\n36916 55272\n8826 13278\n64664 96990\n10552 15878\n39428 59017\n57329 85915\n92916 100000\n13713 20636\n43207 64695\n67200 100000\n6726 10159\n25925 38896\n74028 100000\n91694 100000\n33721 50519\n77416 100000\n15116 22733\n26984 40448\n20982 31520\n55265 82785\n45822 68599\n72010 100000\n24651 36990\n45198 67666\n13262 19965\n92344 100000\n99500 100000\n5517 8327\n25608 38418\n44996 67368\n87966 100000\n55894 83740\n79965 100000\n13727 20654\n93102 100000\n96778 100000\n82798 100000\n98394 100000\n16308 24493\n59012 88443\n60567 90806\n30231 45298\n51797 77593\n49604 74322\n96490 100000\n58568 87775\n99219 100000\n29341 43968\n8225 12376\n89062 100000\n93826 100000\n50348 75431\n26044 39070\n65047 97575\n81197 100000\n13980 21036\n39771 59520\n37011 55409\n45731 68461\n39509 59128\n23858 35803\n94686 100000\n20080 30168\n57113 85585\n84631 100000\n33599 50338\n83892 100000\n67005 100000\n16933 25423\n71457 100000\n86345 100000\n10694 16099\n98400 100000\n76963 100000\n18972 28495\n11000 16561\n55648 83371\n84083 100000\n29094 43609\n61453 92136\n8046 12118\n64145 96208\n31675 47455\n2679 4056\n22649 34011\n85586 100000\n1906 2879\n33542 50252\n77106 100000\n60459 90646\n35568 53256\n98235 100000\n5846 8825\n29856 44734\n19662 29540\n98505 100000\n26786 40160\n66199 99293\n51701 77453\n42493 63641\n94949 100000\n55054 82463\n27825 41718\n29650 44426\n28011 41993\n46737 69976\n38879 58198\n13392 20159\n76284 100000\n29198 43752\n69515 100000\n1334 1991\n82222 100000\n89335 100000\n76766 100000\n56358 84443\n53042 79449\n12508 18827\n67757 100000\n79707 100000\n22774 34200\n39442 59035\n12717 19142\n32885 49270\n52068 77988\n84319 100000\n59996 89952\n77113 100000\n7981 12025\n49007 73414\n45684 68393\n93823 100000\n18461 27714\n92144 100000\n90608 100000\n81983 100000\n85905 100000\n58742 88042\n36561 54753\n88997 100000\n82032 100000\n39136 58586\n15581 23419\n21134 31746\n93792 100000\n23411 35141\n12243 18428\n87898 100000\n72670 100000\n28529 42773\n31186 46725\n78346 100000\n56628 84862\n40821 61118\n27316 40952\n32800 49136\n64056 96074\n64933 97405\n89065 100000\n23325 35012\n92341 100000\n9993 15032\n73106 100000\n79883 100000\n2897 4382\n80822 100000\n64420 96626\n58435 87582\n92083 100000\n79737 100000\n19170 28804\n97109 100000\n64022 96020\n90100 100000\n94844 100000\n74780 100000\n76270 100000\n50023 74953\n89429 100000\n14941 22480\n68830 100000\n60525 90747\n86209 100000\n30476 45669\n4554 6871\n24549 36838\n97582 100000\n91803 100000\n56068 84007\n712 1064\n71924 100000\n58621 87854\n26537 39798\n57998 86929\n12626 19010\n96121 100000\n82864 100000\n52678 78901\n92133 100000\n48022 71911\n68383 100000\n10666 16053\n88240 100000\n40621 60824\n72371 100000\n87007 100000\n73610 100000\n86273 100000\n95079 100000\n92900 100000\n71803 100000\n9431 14182\n79989 100000\n21153 31773\n31958 47876\n40202 60188\n88464 100000\n80174 100000\n34221 51276\n59657 89441\n28454 42660\n56338 84415\n38162 57128\n77422 100000\n77245 100000\n60570 90811\n63891 95832\n37800 56589\n34589 51804\n21534 32342\n69052 100000\n18231 27371\n36563 54755\n57722 86517\n19735 29644\n95582 100000\n68270 100000\n70621 100000\n41185 61673\n62494 93726\n51383 76989\n29073 43579\n25768 38662\n56665 84919\n10796 16255\n96299 100000\n46866 70153\n95695 100000\n56485 84634\n42443 63564\n76227 100000\n34981 52378\n43341 64896\n80220 100000\n26861 40270\n59172 88688\n98461 100000\n77537 100000\n2937 4445\n64017 96012\n31334 46946\n58617 87846\n56609 84833\n44722 66962\n22972 34493\n49891 74759\n19126 28732\n32356 48462\n88750 100000\n41089 61527\n36089 54028\n6296 9495\n24251 36388\n27258 40863\n38472 57595\n65137 97714\n70800 100000\n69388 100000\n14640 22021\n34491 51667\n40993 61386\n48459 72581\n4278 6459\n34537 51731\n37709 56448\n70063 100000\n43172 64641\n95290 100000\n5108 7718\n77140 100000\n20999 31538\n28606 42891\n11516 17346\n55734 83502\n34287 51369\n14561 21901\n93706 100000\n19137 28750\n73248 100000\n91185 100000\n61010 91463\n1579 2367\n31787 47622\n28251 42362\n16423 24660\n5643 8508\n96082 100000\n67394 100000\n41805 62615\n21089 31677\n50101 75066\n77552 100000\n24131 36214\n50675 75923\n10230 15393\n28154 42221\n20752 31181\n19979 30017\n67690 100000\n19678 29563\n15517 23326\n89479 100000\n47014 70386\n97906 100000\n30545 45772\n1382 2065\n93400 100000\n36067 53995\n41448 62068\n85774 100000\n71212 100000\n45234 67721\n25634 38453\n55081 82510\n57764 86576\n87124 100000\n33420 50070\n18406 27630\n50188 75190\n32870 49243\n93240 100000\n72062 100000\n90863 100000\n46819 70093\n81099 100000\n37457 56073\n27682 41503\n42662 63884\n40678 60903\n86597 100000\n50963 76356\n65807 98710\n3804 5731\n2234 3381\n419 628\n29989 44928\n2574 3902\n44045 65924\n95676 100000\n9024 13568\n65000 97504\n97746 100000\n69888 100000\n10754 16191\n87578 100000\n23883 35838\n57650 86404\n49483 74145\n45607 68279\n30400 45556\n39039 58441\n26688 40020\n37727 56474\n81948 100000\n55641 83362\n56080 84028\n34520 51710\n28521 42760\n47911 71742\n54942 82303\n245 368\n47218 70700\n95490 100000\n13028 19610\n9928 14935\n83014 100000\n59274 88849\n38866 58181\n45322 67849\n87929 100000\n40037 59939\n42734 63994\n50393 75499\n79329 100000\n73490 100000\n19529 29344\n68655 100000\n5144 7768\n51953 77816\n76561 100000\n53807 80605\n46518 69652\n77997 100000\n45550 68191\n88134 100000\n13645 20538\n70841 100000\n24927 37391\n12326 18549\n71861 100000\n62942 94402\n59165 88679\n26806 40188\n34965 52357\n92384 100000\n66037 99050\n87531 100000\n58895 88273\n55856 83684\n77640 100000\n9525 14323\n87624 100000\n99742 100000\n51129 76602\n19984 30025\n66091 99135\n50342 75424\n76604 100000\n93345 100000\n30868 46254\n77549 100000\n27443 41147\n42989 64373\n36817 55126\n80237 100000\n14795 22257\n20611 30965\n87217 100000\n47425 71011\n26287 39440\n96002 100000\n54088 81035\n63130 94680\n36645 54879\n14471 21766\n47932 71770\n82497 100000\n21653 32522\n80232 100000\n9381 14112\n20961 31490\n47359 70915\n7952 11976\n59630 89401\n36972 55354\n40351 60410\n84806 100000\n55605 83302\n81021 100000\n18676 28034\n31805 47647\n69391 100000\n62734 94094\n16587 24905\n98431 100000\n14180 21348\n12421 18697\n27042 40541\n26833 40227\n55679 83416\n24397 36614\n80148 100000\n87564 100000\n33751 50564\n44666 66875\n25031 37554\n2835 4288\n48180 72148\n39784 59543\n35134 52600\n55268 82790\n86357 100000\n16528 24822\n30327 45448\n47696 71412\n3796 5719\n78662 100000\n87410 100000\n59174 88691\n85811 100000\n32493 48661\n70875 100000\n23358 35064\n80997 100000\n97212 100000\n23043 34602\n49084 73530\n37162 55638\n1101 1652\n65691 98530\n33353 49966\n73422 100000\n67560 100000\n50374 75472\n45830 68610\n198 293\n62612 93902\n9550 14360\n87894 100000\n10874 16371\n89045 100000\n97341 100000\n64514 96763\n87295 100000\n58346 87451\n23533 35330\n89294 100000\n41359 61931\n140 203\n74464 100000\n97401 100000\n28668 42980\n63419 95102\n70430 100000\n10113 15217\n98630 100000\n88236 100000\n91639 100000\n56027 83944\n53173 79640\n12609 18984\n82542 100000\n55812 83615\n23702 35580\n28218 42313\n77649 100000\n59340 88952\n54407 81503\n14840 22326\n28640 42939\n31785 47619\n22371 33606\n12217 18387\n42810 64104\n73261 100000\n95762 100000\n74707 100000\n97738 100000\n66132 99196\n7814 11767\n42286 63328\n78438 100000\n88912 100000\n30948 46370\n76700 100000\n33245 49805\n67924 100000\n55076 82500\n40099 60036\n59650 89431\n82247 100000\n91195 100000\n60994 91438\n2499 3787\n79135 100000\n12927 19459\n16116 24200\n98131 100000\n2984 4521\n61504 92217\n49116 73582\n56973 85380\n72498 100000\n49555 74247\n32311 48395\n47972 71834\n35016 52429\n8026 12087\n50012 74936\n79489 100000\n2915 4412\n45990 68849\n39547 59184\n95800 100000\n62935 94389\n30729 46053\n80022 100000\n84052 100000\n42652 63867\n14011 21082\n93627 100000\n60663 90956\n66096 99143\n32774 49096\n6178 9324\n12892 19405\n29470 44160\n19627 29491\n6899 10423\n20913 31420\n43134 64585\n33295 49882\n47195 70663\n2551 3868\n60425 90593\n42623 63825\n4153 6267\n24970 37455\n86143 100000\n55714 83469\n29111 43634\n79314 100000\n11585 17449\n21977 33004\n64499 96742\n9123 13715\n19364 29101\n28660 42967\n98147 100000\n19571 29403\n92962 100000\n32135 48134\n45681 68387\n82471 100000\n63514 95247\n82124 100000\n30783 46129\n48587 72773\n54482 81619\n94554 100000\n5285 7976\n19556 29379\n56791 85105\n98963 100000\n87670 100000\n18232 27373\n70645 100000\n91853 100000\n81003 100000\n32117 48107\n76906 100000\n78782 100000\n37353 55918\n3271 4947\n50903 76262\n73430 100000\n16282 24456\n96656 100000\n15305 23009\n81254 100000\n42969 64344\n60669 90965\n17682 26558\n76043 100000\n82174 100000\n15369 23112\n81766 100000\n81145 100000\n85554 100000\n33815 50656\n32502 48674\n6737 10176\n82748 100000\n96057 100000\n36808 55114\n23238 34887\n23508 35291\n83742 100000\n79678 100000\n30498 45703\n73962 100000\n10527 15836\n74855 100000\n93432 100000\n58053 87013\n53084 79514\n8584 12916\n84238 100000\n31224 46784\n67707 100000\n37107 55555\n31894 47782\n75043 100000\n48213 72202\n18800 28223\n8314 12515\n71835 100000\n61507 92222\n97465 100000\n84005 100000\n1745 2621\n12692 19105\n8250 12416\n36568 54761\n96539 100000\n17230 25860\n26144 39220\n2249 3404\n56361 84448\n1811 2731\n96077 100000\n2245 3397\n55097 82538\n96217 100000\n31973 47902\n2815 4253\n82865 100000\n51596 77301\n18332 27523\n11222 16911\n29013 43485\n89966 100000\n14779 22234\n47471 71077\n28246 42355\n8669 13043\n40478 60605\n35727 53481\n82770 100000\n49322 73890\n21844 32807\n9761 14680\n51942 77799\n24391 36607\n3747 5644\n673 1006\n45515 68142\n93301 100000\n74883 100000\n94599 100000\n75728 100000\n53621 80315\n28280 42406\n71020 100000\n98252 100000\n16414 24645\n93276 100000\n4441 6702\n80429 100000\n80530 100000\n85162 100000\n36396 54501\n63355 95007\n30938 46356\n8923 13418\n23811 35739\n13734 20662\n71415 100000\n60006 89965\n84075 100000\n84237 100000\n77663 100000\n68643 100000\n19404 29161\n91489 100000\n80210 100000\n88300 100000\n46710 69940\n31434 47088\n35651 53375\n69606 100000\n26902 40333\n92566 100000\n67072 100000\n7146 10773\n49738 74524\n17203 25819\n5686 8576\n45190 67655\n23997 36012\n56829 85167\n89386 100000\n60893 91286\n7837 11802\n71187 100000\n14864 22362\n73135 100000\n5588 8427\n58713 87996\n7970 12006\n32683 48954\n6053 9139\n59120 88612\n91908 100000\n14961 22511\n51075 76521\n56305 84363\n87831 100000\n40194 60178\n97662 100000\n47576 71235\n44234 66215\n84843 100000\n2820 4262\n48128 72068\n23387 35107\n95319 100000\n1887 2849\n792 1187\n47035 70418\n73605 100000\n76038 100000\n71789 100000\n99836 100000\n29935 44850\n34096 51088\n70169 100000\n44683 66901\n13514 20333\n73616 100000\n10293 15488\n80097 100000\n8373 12601\n85199 100000\n48129 72070\n76639 100000\n65894 98845\n40600 60790\n71841 100000\n64644 96960\n56378 84475\n40111 60056\n68151 100000\n16996 25515\n85369 100000\n8132 12237\n2327 3520\n52821 79120\n77721 100000\n87055 100000\n72751 100000\n95492 100000\n86749 100000\n58037 86989\n6473 9767\n82820 100000\n80808 100000\n70161 100000\n52197 78177\n91479 100000\n21392 32125\n70977 100000\n86903 100000\n46851 70135\n44811 67095\n77981 100000\n50871 76213\n4714 7118\n12436 18720\n61875 92779\n8493 12775\n29520 44231\n42903 64241\n12903 19422\n47846 71642\n37116 55568\n94976 100000\n24316 36491\n68047 100000\n31704 47500\n86175 100000\n26884 40306\n83353 100000\n48807 73119\n26540 39802\n39339 58883\n97859 100000\n39348 58896\n36659 54902\n78514 100000\n26469 39704\n66886 100000\n20656 31036\n31591 47323\n38701 57922\n43738 65482\n96287 100000\n99231 100000\n70632 100000\n24135 36219\n37655 56366\n63769 95645\n47804 71574\n85738 100000\n31542 47250\n88591 100000\n2539 3850\n18704 28077\n83123 100000\n2533 3839\n50412 75523\n96882 100000\n7094 10696\n6698 10115\n87174 100000\n9882 14869\n66702 100000\n14320 21553\n64031 96034\n96545 100000\n44268 66267\n47970 71830\n84230 100000\n29238 43811\n90080 100000\n83155 100000\n58562 87766\n77750 100000\n41010 61408\n86524 100000\n88041 100000\n4365 6585\n77249 100000\n49888 74755\n49598 74312\n65144 97727\n63478 95193\n95476 100000\n75330 100000\n92317 100000\n60747 91084\n48352 72417\n29664 44445\n14253 21450\n41723 62484\n27307 40937\n95100 100000\n78851 100000\n40057 59974\n15204 22865\n86380 100000\n20543 30867\n90774 100000\n36847 55168\n14457 21747\n85614 100000\n78922 100000\n64232 96345\n46668 69874\n15410 23172\n71359 100000\n37575 56247\n59422 89088\n1015 1523\n92799 100000\n84556 100000\n42997 64383\n99525 100000\n12146 18273\n73775 100000\n57300 85870\n81098 100000\n11069 16672\n84128 100000\n29495 44196\n2125 3211\n89353 100000\n4561 6882\n23226 34870\n32332 48426\n82010 100000\n42206 63208\n36986 55373\n2862 4331\n98266 100000\n29095 43610\n6183 9330\n26704 40041\n57264 85812\n45896 68712\n42928 64279\n56445 84577\n75503 100000\n47232 70723\n93956 100000\n75692 100000\n44511 66629\n68315 100000\n89676 100000\n64815 97224\n50110 75080\n54264 81291\n82845 100000\n60929 91338\n12259 18454\n1878 2836\n73267 100000\n64444 96658\n49870 74725\n31544 47253\n75394 100000\n8754 13171\n68603 100000\n88695 100000\n59415 89075\n71110 100000\n73681 100000\n85046 100000\n445 665\n24400 36618\n96268 100000\n63232 94826\n88841 100000\n50716 75986\n41472 62107\n47465 71068\n78733 100000\n25147 37723\n32014 47960\n51730 77493\n1449 2164\n78935 100000\n27332 40978\n18464 27718\n79507 100000\n22453 33727\n97332 100000\n95909 100000\n72147 100000\n77528 100000\n55726 83490\n87006 100000\n94455 100000\n96803 100000\n53125 79573\n4956 7486\n49899 74768\n94231 100000\n84618 100000\n91452 100000\n97285 100000\n91985 100000\n37000 55393\n41409 62010\n23350 35052\n23924 35901\n64337 96506\n30189 45230\n8808 13251\n77379 100000\n64302 96452\n91401 100000\n44518 66639\n56830 85168\n49077 73520\n94918 100000\n49191 73696\n67090 100000\n37762 56529\n13729 20656\n37124 55582\n90284 100000\n59992 89946\n13087 19695\n83311 100000\n56429 84555\n33466 50137\n27872 41782\n7751 11676\n64898 97351\n75557 100000\n16777 25184\n37044 55459\n48003 71883\n94225 100000\n52756 79019\n66844 100000\n87554 100000\n18913 28401\n20500 30802\n33383 50013\n80898 100000\n54089 81037\n4772 7208\n24434 36673\n69548 100000\n67154 100000\n52909 79255\n40233 60234\n47472 71079\n84219 100000\n96368 100000\n53958 80831\n22502 33800\n20166 30294\n9676 14549\n21515 32310\n13146 19787\n15740 23656\n71704 100000\n81700 100000\n67403 100000\n94503 100000\n51357 76953\n53565 80233\n12462 18759\n56798 85117\n89870 100000\n63295 94924\n33042 49500\n31037 46496\n11400 17173\n97400 100000\n91691 100000\n86867 100000\n72967 100000\n55811 83614\n68284 100000\n44233 66213\n92863 100000\n14777 22232\n58129 87127\n94332 100000\n53665 80381\n96965 100000\n74584 100000\n55984 83877\n49329 73903\n81051 100000\n9363 14084\n54368 81446\n36258 54288\n91330 100000\n7793 11734\n87083 100000\n901 1338\n72898 100000\n73071 100000\n20893 31392\n57724 86521\n17430 26170\n49966 74868\n77014 100000\n97302 100000\n96798 100000\n46917 70234\n61902 92821\n80855 100000\n93342 100000\n53437 80040\n56534 84714\n57776 86593\n69611 100000\n76286 100000\n1665 2498\n40717 60961\n41747 62518\n34265 51338\n61102 91607\n47362 70921\n73424 100000\n78175 100000\n95151 100000\n13176 19832\n82014 100000\n3033 4599\n57698 86482\n68275 100000\n36631 54854\n59933 89859\n47395 70968\n7147 10774\n70016 100000\n74463 100000\n79838 100000\n99527 100000\n26866 40278\n20194 30341\n40703 60941\n65663 98486\n20939 31458\n23548 35352\n13038 19625\n46498 69620\n79639 100000\n99480 100000\n59636 89410\n67717 100000\n13041 19629\n45354 67896\n75294 100000\n4261 6434\n61915 92842\n59601 89359\n62836 94240\n59068 88531\n23589 35412\n62425 93620\n30874 46262\n47246 70745\n35560 53243\n87974 100000\n60713 91030\n40261 60275\n41278 61817\n12051 18135\n24938 37409\n62639 93942\n40830 61132\n65014 97524\n13761 20701\n83685 100000\n25930 38903\n23418 35153\n65532 98299\n48925 73293\n91811 100000\n18498 27769\n98698 100000\n72504 100000\n80410 100000\n68336 100000\n91787 100000\n76481 100000\n62814 94205\n81251 100000\n55724 83486\n31673 47452\n38378 57461\n55579 83268\n81250 100000\n84104 100000\n62178 93246\n69064 100000\n22134 33246\n25177 37766\n70237 100000\n17433 26175\n83852 100000\n39552 59192\n25912 38878\n96198 100000\n71768 100000\n71169 100000\n93512 100000\n62374 93537\n4322 6521\n72061 100000\n25134 37705\n96859 100000\n92982 100000\n55636 83354\n73629 100000\n49351 73937\n75326 100000\n42276 63313\n14693 22104\n35040 52466\n78778 100000\n1714 2573\n71042 100000\n48048 71952\n41019 61422\n63497 95221\n27311 40943\n74791 100000\n81498 100000\n30548 45777\n65839 98756\n65381 98077\n25049 37581\n94237 100000\n16992 25509\n88775 100000\n24010 36030\n68152 100000\n93521 100000\n30001 44947\n29202 43758\n5388 8134\n67729 100000\n16252 24411\n67940 100000\n44639 66831\n37894 56723\n12719 19144\n79094 100000\n52377 78451\n27281 40898\n74839 100000\n6222 9387\n11833 17819\n35628 53340\n59618 89383\n16878 25338\n12818 19292\n49973 74879\n51689 77434\n26788 40163\n49237 73764\n99460 100000\n56956 85354\n46374 69429\n28367 42530\n98742 100000\n1052 1578\n89258 100000\n87197 100000\n53360 79924\n75276 100000\n96557 100000\n46243 69234\n23420 35156\n90095 100000\n71640 100000\n46516 69649\n11508 17332\n37557 56221\n48716 72977\n37547 56207\n61001 91449\n58846 88200\n95590 100000\n92784 100000\n60015 89980\n64824 97237\n25547 38321\n70727 100000\n47824 71606\n4468 6739\n95704 100000\n74306 100000\n89090 100000\n13435 20226\n3430 5179\n94494 100000\n6672 10070\n69095 100000\n32547 48743\n34415 51559\n29142 43679\n40854 61170\n68971 100000\n59873 89770\n76890 100000\n2534 3841\n22719 34116\n26306 39466\n68562 100000\n80202 100000\n58703 87981\n98797 100000\n72682 100000\n63410 95088\n38960 58316\n28206 42298\n56351 84433\n15697 23585\n15287 22985\n4984 7526\n65465 98201\n31729 47535\n35462 53087\n31125 46627\n29880 44769\n45453 68046\n62719 94070\n59287 88872\n51527 77206\n8424 12674\n281 417\n73822 100000\n14850 22340\n99272 100000\n58409 87546\n97679 100000\n87446 100000\n3993 6018\n74418 100000\n18417 27644\n24366 36569\n41117 61567\n54515 81671\n34995 52398\n56192 84199\n41268 61800\n56075 84019\n27897 41819\n5564 8391\n39852 59657\n87905 100000\n26761 40122\n43073 64497\n16899 25370\n78032 100000\n24613 36937\n80641 100000\n78365 100000\n61322 91937\n15340 23067\n29183 43732\n87559 100000\n43240 64746\n93225 100000\n61288 91889\n40797 61082\n48961 73345\n21541 32353\n57454 86099\n26962 40417\n13695 20608\n61616 92387\n15536 23353\n73372 100000\n57610 86349\n60262 90344\n71296 100000\n26077 39119\n67774 100000\n58731 88024\n68329 100000\n75658 100000\n73294 100000\n78785 100000\n49278 73823\n40841 61149\n51606 77315\n1284 1921\n24386 36601\n82396 100000\n22736 34143\n77068 100000\n8318 12520\n87876 100000\n35994 53885\n55961 83845\n56881 85243\n82934 100000\n26124 39190\n70504 100000\n44913 67250\n15765 23692\n47325 70863\n60337 90458\n3076 4659\n67634 100000\n74605 100000\n40552 60717\n43394 64973\n48305 72344\n97717 100000\n91159 100000\n56153 84138\n45736 68468\n72789 100000\n41063 61484\n3275 4952\n34401 51537\n51414 77036\n99396 100000\n83389 100000\n99192 100000\n51162 76656\n65998 98995\n90695 100000\n79041 100000\n46136 69065\n41980 62868\n17496 26269\n68925 100000\n82173 100000\n26327 39495\n90629 100000\n50455 75584\n17620 26455\n4465 6735\n83435 100000\n4771 7206\n7156 10789\n17718 26607\n70580 100000\n81383 100000\n74035 100000\n67549 100000\n35172 52653\n52989 79368\n29201 43756\n68173 100000\n74684 100000\n8890 13373\n40071 59994\n47582 71243\n12610 18986\n57302 85874\n50222 75243\n4114 6207\n64424 96632\n11779 17740\n89632 100000\n7327 11039\n40188 60170\n53013 79402\n86172 100000\n26816 40203\n58506 87686\n64881 97324\n65636 98451\n20998 31537\n35630 53342\n82962 100000\n35619 53329\n38127 57075\n56163 84154\n83396 100000\n61728 92555\n99298 100000\n72897 100000\n31715 47516\n99323 100000\n79662 100000\n74704 100000\n2536 3844\n22685 34067\n62793 94177\n49745 74534\n95853 100000\n63426 95110\n14154 21308\n27734 41576\n87538 100000\n92656 100000\n80428 100000\n62945 94405\n24126 36205\n61278 91874\n70086 100000\n52501 78646\n61689 92498\n7471 11258\n80722 100000\n33899 50783\n56213 84229\n47943 71788\n59602 89361\n17537 26332\n86917 100000\n55635 83352\n32407 48531\n45801 68568\n39408 58988\n47606 71279\n66240 99356\n50011 74934\n88127 100000\n14401 21668\n48795 73102\n86704 100000\n70772 100000\n6556 9894\n69977 100000\n87618 100000\n69411 100000\n81557 100000\n55866 83700\n85047 100000\n28457 42665\n96731 100000\n48121 72057\n59323 88926\n8360 12582\n49989 74903\n6484 9784\n81468 100000\n77707 100000\n20254 30432\n91575 100000\n29172 43719\n63461 95165\n81695 100000\n16683 25037\n73680 100000\n89640 100000\n58121 87115\n93043 100000\n10382 15624\n14896 22412\n99294 100000\n75265 100000\n24874 37316\n42682 63913\n25916 38883\n64269 96401\n17392 26113\n57221 85744\n72 106\n55704 83454\n69862 100000\n45506 68126\n557 834\n87707 100000\n85952 100000\n30582 45832\n71056 100000\n97254 100000\n57171 85673\n3188 4826\n32602 48832\n44725 66966\n94265 100000\n18176 27287\n71105 100000\n59663 89451\n91292 100000\n43526 65164\n28142 42200\n32029 47980\n18197 27320\n46776 70033\n94173 100000\n12591 18956\n63875 95810\n32376 48488\n91814 100000\n19853 29825\n24087 36144\n77428 100000\n62416 93608\n96898 100000\n34996 52400\n42528 63689\n82157 100000\n71128 100000\n76004 100000\n87512 100000\n60587 90837\n57127 85605\n94375 100000\n91213 100000\n1634 2450\n55152 82614\n73049 100000\n79209 100000\n76463 100000\n67508 100000\n97007 100000\n11134 16772\n40433 60536\n43258 64776\n47874 71684\n3382 5111\n20376 30614\n88631 100000\n18489 27755\n4208 6351\n8532 12836\n77434 100000\n43065 64485\n23786 35702\n98392 100000\n87077 100000\n1308 1956\n39777 59531\n73133 100000\n41114 61562\n31567 47286\n64157 96229\n78296 100000\n71408 100000\n13049 19641\n74995 100000\n35870 53696\n88871 100000\n56533 84713\n38230 57230\n79815 100000\n85221 100000\n56730 85015\n34143 51156\n96938 100000\n82411 100000\n13221 19902\n4896 7395\n2219 3356\n15506 23308\n99936 100000\n31163 46686\n18633 27971\n63854 95778\n5510 8316\n5904 8924\n71934 100000\n17908 26886\n46334 69369\n45466 68068\n93922 100000\n24962 37444\n42866 64187\n76957 100000\n17440 26185\n72647 100000\n88298 100000\n41256 61785\n23159 34772\n16938 25429\n57917 86809\n4418 6667\n5806 8766\n40536 60693\n97121 100000\n69181 100000\n59673 89466\n1470 2196\n43120 64564\n19360 29093\n40325 60369\n74531 100000\n52518 78673\n39667 59361\n16221 24362\n20167 30295\n60185 90230\n20356 30584\n5650 8518\n28312 42450\n20685 31077\n31210 46763\n49615 74338\n9232 13890\n68014 100000\n35832 53637\n84265 100000\n47833 71621\n45756 68500\n86641 100000\n15067 22665\n22975 34497\n75985 100000\n66059 99082\n19203 28852\n1549 2318\n65741 98608\n7554 11385\n28974 43432\n11907 17919\n70897 100000\n61171 91711\n18778 28188\n74142 100000\n88519 100000\n54140 81106\n63082 94602\n1574 2359\n69704 100000\n86551 100000\n8543 12850\n80263 100000\n72666 100000\n37494 56130\n82020 100000\n68501 100000\n6456 9741\n1772 2667\n35340 52904\n51705 77459\n9855 14827\n82319 100000\n93159 100000\n19423 29189\n27527 41272\n7729 11641\n26233 39358\n55848 83671\n12015 18078\n78328 100000\n76858 100000\n13770 20714\n12763 19211\n22406 33658\n17232 25864\n29110 43633\n4697 7091\n41806 62617\n53500 80129\n9473 14244\n52591 78779\n24929 37393\n3009 4558\n48917 73284\n81774 100000\n11525 17360\n95884 100000\n73321 100000\n72534 100000\n9387 14120\n35428 53040\n74755 100000\n42729 63986\n43314 64857\n78392 100000\n86190 100000\n6153 9289\n94606 100000\n66285 99424\n72291 100000\n82328 100000\n25 38\n45503 68123\n98943 100000\n52085 78013\n99567 100000\n22724 34122\n78994 100000\n15699 23589\n63089 94614\n39303 58826\n21505 32295\n98811 100000\n14841 22327\n5587 8426\n40064 59984\n14674 22072\n53101 79537\n10318 15526\n60946 91364\n16269 24436\n98401 100000\n39657 59348\n6885 10399\n11598 17466\n64730 97089\n8191 12329\n92149 100000\n50144 75129\n15465 23248\n92215 100000\n38049 56959\n17799 26719\n56672 84928\n11406 17183\n18004 27030\n89454 100000\n14722 22146\n17852 26803\n47900 71727\n6177 9323\n89973 100000\n90503 100000\n94120 100000\n8271 12449\n35561 53244\n85762 100000\n3147 4766\n19317 29025\n10279 15469\n18653 28000\n37323 55879\n50620 75840\n35354 52928\n72540 100000\n98900 100000\n22390 33633\n16466 24724\n71418 100000\n87488 100000\n31012 46462\n20558 30889\n1083 1624\n47762 71509\n35347 52916\n84161 100000\n11441 17233\n84197 100000\n15857 23823\n64894 97345\n60685 90988\n1039 1560\n26663 39973\n91599 100000\n16639 24973\n9667 14537\n12814 19286\n30645 45929\n43632 65324\n70508 100000\n67659 100000\n40656 60873\n84522 100000\n69972 100000\n22661 34028\n85746 100000\n21542 32354\n89561 100000\n35960 53831\n23105 34692\n10273 15461\n8031 12096\n76826 100000\n79051 100000\n28130 42184\n14761 22205\n58641 87883\n67308 100000\n60736 91066\n30415 45580\n36483 54638\n35648 53371\n98749 100000\n69703 100000\n33247 49809\n39498 59112\n72869 100000\n26267 39407\n80631 100000\n85104 100000\n75213 100000\n46368 69422\n37448 56058\n84248 100000\n77825 100000\n62588 93866\n27894 41815\n72933 100000\n88268 100000\n70877 100000\n40534 60690\n37836 56636\n45807 68578\n28882 43294\n50671 75917\n29139 43675\n8844 13304\n64026 96027\n98882 100000\n83873 100000\n72415 100000\n93471 100000\n88098 100000\n10060 15134\n52238 78241\n84216 100000\n25674 38517\n56635 84873\n94535 100000\n63556 95314\n46802 70069\n22725 34124\n7704 11602\n62204 93283\n47906 71735\n96911 100000\n64363 96541\n77743 100000\n31736 47547\n34651 51893\n61663 92458\n11995 18049\n92068 100000\n96407 100000\n47381 70947\n60552 90785\n58764 88081\n70610 100000\n24261 36407\n65733 98596\n8523 12823\n74552 100000\n33341 49946\n23336 35031\n57561 86272\n95299 100000\n29331 43953\n56968 85372\n97246 100000\n94670 100000\n92886 100000\n34132 51139\n45987 68846\n85955 100000\n7119 10730\n89198 100000\n47748 71490\n1692 2541\n32273 48340\n84403 100000\n9341 14050\n10066 15143\n71318 100000\n53009 79398\n34759 52055\n8464 12733\n28622 42913\n83599 100000\n90581 100000\n94513 100000\n99093 100000\n72973 100000\n95810 100000\n98919 100000\n63650 95461\n73017 100000\n39337 58880\n54348 81417\n70549 100000\n19552 29373\n74576 100000\n16290 24467\n53312 79850\n72294 100000\n60096 90100\n51847 77669\n11399 17172\n53573 80242\n93391 100000\n20145 30263\n93096 100000\n87566 100000\n85734 100000\n14359 21609\n81386 100000\n82944 100000\n91189 100000\n68597 100000\n47413 70993\n86372 100000\n68252 100000\n70305 100000\n5097 7702\n83433 100000\n34236 51298\n15161 22804\n48381 72463\n16557 24863\n39555 59196\n27540 41291\n72771 100000\n1066 1600\n95682 100000\n4343 6555\n14138 21281\n7857 11829\n67817 100000\n68730 100000\n95169 100000\n76082 100000\n54307 81354\n27882 41796\n46040 68922\n17706 26589\n26619 39914\n6146 9278\n50799 76110\n29854 44731\n41083 61516\n88398 100000\n19615 29473\n45225 67706\n60900 91296\n40025 59922\n45257 67753\n22127 33235\n59655 89437\n59520 89235\n204 303\n95004 100000\n94261 100000\n58965 88374\n19809 29754\n55702 83451\n32859 49225\n9294 13978\n32138 48138\n88283 100000\n72284 100000\n18421 27650\n94160 100000\n22351 33572\n56877 85236\n73322 100000\n58190 87216\n77291 100000\n59125 88618\n19591 29434\n4486 6768\n59878 89777\n38893 58215\n85165 100000\n41788 62585\n26605 39896\n13033 19618\n19232 28899\n53195 79672\n98367 100000\n91965 100000\n76788 100000\n33574 50296\n54947 82310\n63499 95225\n53963 80840\n53651 80360\n86877 100000\n41770 62555\n75630 100000\n36488 54646\n83804 100000\n69708 100000\n91503 100000\n40330 60376\n84074 100000\n66051 99071\n9159 13773\n46360 69408\n36368 54459\n49581 74286\n66641 99962\n39076 58495\n34126 51131\n93661 100000\n82514 100000\n8776 13203\n14489 21793\n82433 100000\n29656 44437\n64281 96418\n80803 100000\n27026 40515\n76526 100000\n28489 42708\n9169 13790\n60875 91259\n59402 89053\n92661 100000\n26860 40269\n16620 24947\n9813 14761\n53276 79796\n58154 87166\n18793 28213\n39530 59157\n34092 51081\n98560 100000\n89710 100000\n79374 100000\n88512 100000\n80187 100000\n67219 100000\n76521 100000\n47375 70939\n47825 71607\n20050 30122\n1853 2797\n42379 63473\n30063 45045\n34105 51101\n22627 33982\n18000 27022\n45548 68187\n85653 100000\n13397 20168\n20812 31270\n48602 72800\n82923 100000\n54319 81372\n15241 22918\n37702 56437\n86426 100000\n82843 100000\n46465 69567\n56596 84810\n84218 100000\n36403 54512\n95489 100000\n91751 100000\n32700 48982\n38649 57844\n46371 69425\n50654 75892\n52770 79039\n67443 100000\n25008 37518\n33765 50584\n33182 49706\n23128 34728\n17379 26092\n92371 100000\n35623 53334\n62527 93775\n72298 100000\n90244 100000\n33487 50170\n26194 39300\n838 1250\n15272 22965\n4062 6130\n50071 75025\n42025 62931\n51529 77209\n70167 100000\n30215 45271\n98048 100000\n13835 20810\n92245 100000\n91990 100000\n76513 100000\n21958 32980\n89621 100000\n8788 13219\n68530 100000\n31396 47037\n64236 96352\n33474 50151\n66940 100000\n70475 100000\n42071 63004\n60632 90909\n4275 6454\n48778 73072\n11167 16828\n73387 100000\n65624 98435\n94804 100000\n8802 13243\n15819 23771\n58769 88088\n75047 100000\n78363 100000\n61845 92735\n67460 100000\n79466 100000\n69905 100000\n5641 8505\n97430 100000\n91151 100000\n30103 45100\n49855 74702\n98231 100000\n34521 51712\n8302 12497\n49137 73615\n24625 36957\n92689 100000\n54495 81640\n62035 93030\n6606 9970\n84740 100000\n48801 73111\n32634 48880\n37691 56421\n33588 50318\n69365 100000\n85514 100000\n17096 25661\n38750 57992\n60823 91189\n19841 29807\n6311 9521\n93560 100000\n64592 96882\n97407 100000\n84498 100000\n95232 100000\n32504 48677\n73085 100000\n46925 70244\n43989 65840\n28208 42301\n76917 100000\n20326 30537\n88172 100000\n53547 80205\n27964 41918\n19587 29427\n36979 55364\n27180 40745\n82019 100000\n78074 100000\n87847 100000\n48393 72478\n16581 24896\n56064 84003\n27553 41310\n49343 73923\n23893 35853\n65055 97588\n28406 42590\n96767 100000\n93186 100000\n37047 55463\n77680 100000\n38907 58237\n79946 100000\n24582 36890\n37456 56071\n98176 100000\n67665 100000\n57346 85938\n44943 67293\n18696 28064\n30343 45469\n56395 84500\n89678 100000\n69124 100000\n15174 22823\n62873 94298\n48882 73232\n97960 100000\n39757 59501\n3951 5953\n78713 100000\n81881 100000\n90772 100000\n27264 40871\n66862 100000\n50798 76108\n99213 100000\n36541 54721\n96991 100000\n40485 60616\n93270 100000\n44037 65912\n31132 46639\n8376 12605\n77904 100000\n47095 70506\n10826 16305\n39703 59420\n14432 21713\n11958 17993\n75297 100000\n23863 35809\n72732 100000\n77114 100000\n49476 74134\n93280 100000\n3307 5001\n98853 100000\n10613 15971\n77523 100000\n19430 29198\n55490 83134\n87525 100000\n86126 100000\n46126 69050\n70442 100000\n58981 88400\n41301 61849\n26770 40136\n45321 67847\n38603 57783\n39389 58956\n70981 100000\n12366 18615\n76211 100000\n56145 84126\n17925 26909\n71424 100000\n37524 56171\n13110 19729\n59640 89416\n5070 7659\n65594 98386\n70895 100000\n14339 21579\n97201 100000\n21848 32813\n64433 96646\n27670 41485\n24045 36082\n45114 67543\n16573 24886\n19378 29122\n28747 43094\n86555 100000\n61318 91931\n47011 70381\n75125 100000\n47209 70685\n6038 9120\n68960 100000\n7230 10900\n14388 21652\n17695 26575\n22282 33476\n84506 100000\n95189 100000\n92922 100000\n5539 8358\n26293 39447\n36248 54272\n3357 5075\n48238 72242\n31208 46760\n19472 29260\n17606 26433\n80182 100000\n63529 95273\n2722 4123\n99984 100000\n66117 99172\n34692 51952\n92596 100000\n27201 40778\n51477 77129\n88111 100000\n15144 22776\n97112 100000\n70552 100000\n40254 60265\n73415 100000\n5770 8706\n28510 42743\n39376 58937\n33481 50160\n68409 100000\n15199 22858\n60963 91392\n32065 48030\n95017 100000\n11875 17877\n97504 100000\n59574 89317\n49752 74543\n19027 28577\n34925 52295\n912 1359\n23419 35155\n63720 95567\n59404 89057\n62988 94468\n89859 100000\n25609 38419\n18379 27592\n37743 56498\n22160 33285\n61154 91685\n52122 78066\n71586 100000\n40917 61273\n95332 100000\n79141 100000\n12375 18631\n7657 11535\n4895 7393\n32304 48385\n70644 100000\n15817 23768\n56263 84304\n56359 84445\n92269 100000\n73921 100000\n73276 100000\n96902 100000\n52018 77912\n90986 100000\n54001 80898\n96790 100000\n86138 100000\n36302 54354\n37024 55428\n43935 65760\n4906 7411\n17414 26147\n5418 8177\n17652 26509\n80456 100000\n37467 56089\n67523 100000\n25457 38192\n58816 88155\n24149 36240\n64659 96984\n88372 100000\n66925 100000\n65229 97857\n27965 41920\n60923 91330\n55332 82889\n31370 47000\n73812 100000\n52918 79266\n16851 25296\n93340 100000\n80981 100000\n17135 25717\n98057 100000\n51033 76460\n92859 100000\n53881 80711\n75259 100000\n18128 27219\n51674 77413\n22760 34180\n17327 26010\n72596 100000\n97313 100000\n51928 77779\n56695 84963\n88865 100000\n48354 72419\n7269 10955\n88969 100000\n98475 100000\n75138 100000\n35808 53597\n75060 100000\n7307 11010\n65134 97709\n2994 4536\n97756 100000\n15265 22955\n3005 4554\n57533 86227\n45165 67618\n77479 100000\n68540 100000\n69409 100000\n63306 94939\n2145 3242\n8768 13190\n76410 100000\n32641 48891\n33261 49832\n73852 100000\n60671 90968\n10798 16259\n57669 86432\n76866 100000\n69082 100000\n96463 100000\n72544 100000\n50911 76273\n3016 4569\n15226 22895\n99861 100000\n2148 3248\n11990 18042\n8921 13415\n62386 93556\n32032 47984\n80649 100000\n77204 100000\n63684 95516\n54766 82048\n60416 90579\n54825 82131\n70219 100000\n67439 100000\n80367 100000\n45121 67552\n53166 79630\n14361 21612\n16366 24575\n40239 60242\n97352 100000\n87863 100000\n34873 52223\n123 177\n58900 88280\n10909 16429\n78364 100000\n44415 66487\n87817 100000\n4145 6255\n92104 100000\n68580 100000\n48073 71993\n59516 89228\n26055 39088\n72385 100000\n38468 57590\n27293 40916\n84977 100000\n60651 90938\n16054 24108\n13506 20320\n65786 98680\n23643 35489\n82584 100000\n15178 22828\n44200 66161\n33910 50800\n2871 4344\n70820 100000\n48574 72756\n71869 100000\n15770 23698\n94944 100000\n636 950\n7158 10791\n63976 95951\n36665 54911\n27344 40997\n14588 21941\n71514 100000\n9330 14033\n75439 100000\n60827 91194\n70090 100000\n5765 8697\n63543 95297\n74492 100000\n64684 97018\n86862 100000\n73745 100000\n82895 100000\n89236 100000\n5349 8072\n52544 78712\n63993 95976\n77470 100000\n77 113\n18523 27806\n28755 43104\n84508 100000\n48812 73128\n77139 100000\n66548 99822\n31564 47283\n71576 100000\n3578 5395\n54861 82182\n16836 25273\n35896 53736\n85943 100000\n85551 100000\n24593 36907\n8742 13154\n92601 100000\n59633 89406\n39565 59212\n34366 51488\n47405 70981\n62522 93767\n75764 100000\n59614 89379\n55687 83430\n98981 100000\n95744 100000\n25915 38882\n156 227\n24236 36365\n12836 19320\n53682 80408\n60443 90620\n48009 71892\n86326 100000\n25594 38397\n87336 100000\n63885 95825\n91087 100000\n55057 82468\n89025 100000\n73667 100000\n93982 100000\n72317 100000\n43767 65525\n47350 70900\n14039 21129\n76403 100000\n88687 100000\n15003 22574\n54490 81633\n37927 56772\n52868 79190\n93678 100000\n93327 100000\n98439 100000\n28487 42706\n4497 6784\n99088 100000\n38439 57549\n29422 44091\n95988 100000\n69675 100000\n87676 100000\n30464 45653\n64441 96654\n60061 90050\n85424 100000\n97794 100000\n81568 100000\n98351 100000\n25598 38403\n29165 43711\n4297 6486\n70935 100000\n66167 99247\n44644 66837\n43191 64672\n61700 92514\n35552 53230\n91867 100000\n51743 77514\n98134 100000\n61529 92258\n64237 96353\n53977 80860\n7896 11890\n60247 90322\n38027 56925\n58086 87064\n91000 100000\n63139 94693\n48480 72611\n89675 100000\n44135 66062\n57922 86817\n35118 52577\n73370 100000\n73994 100000\n98342 100000\n86477 100000\n91175 100000\n2387 3618\n69199 100000\n21869 32846\n95826 100000\n33644 50413\n24267 36416\n92071 100000\n48318 72363\n63134 94686\n21877 32857\n87683 100000\n13669 20571\n89371 100000\n46507 69633\n45362 67909\n9875 14859\n65736 98601\n94172 100000\n98529 100000\n18432 27668\n81 120\n49606 74326\n76947 100000\n90446 100000\n7298 10994\n54557 81733\n7484 11277\n77092 100000\n13291 20011\n46849 70132\n62130 93173\n27526 41270\n98769 100000\n91168 100000\n77128 100000\n58958 88363\n60978 91414\n53061 79482\n90360 100000\n14404 21673\n5326 8038\n29162 43707\n79847 100000\n80943 100000\n87946 100000\n34825 52152\n68853 100000\n17366 26072\n35685 53423\n50536 75714\n23538 35337\n63758 95628\n91881 100000\n84968 100000\n50466 75602\n36062 53988\n36434 54565\n60447 90626\n66852 100000\n44068 65959\n40665 60887\n54223 81230\n18566 27871\n98089 100000\n13559 20404\n16531 24826\n59798 89656\n91949 100000\n47859 71661\n34326 51428\n20098 30195\n10407 15662\n29423 44092\n26075 39117\n11290 17015\n88116 100000\n11602 17470\n29371 44015\n9833 14791\n81839 100000\n46481 69590\n9908 14907\n65113 97678\n56727 85010\n43986 65836\n26526 39784\n41488 62131\n4838 7305\n9567 14386\n12562 18913\n72264 100000\n93152 100000\n41509 62157\n24971 37456\n2222 3361\n85635 100000\n93328 100000\n13103 19718\n93933 100000\n56496 84652\n64810 97217\n13596 20460\n88058 100000\n85328 100000\n79681 100000\n9018 13559\n75510 100000\n15827 23780\n15232 22903\n77380 100000\n85608 100000\n37651 56358\n47191 70655\n75065 100000\n37686 56414\n18646 27989\n78379 100000\n25256 37884\n13933 20959\n24359 36559\n33191 49722\n23330 35022\n73835 100000\n66533 99798\n39523 59149\n36801 55104\n22472 33756\n40685 60914\n51009 76423\n58854 88213\n21466 32240\n89981 100000\n40055 59971\n60365 90501\n6078 9174\n45749 68488\n12623 19005\n45926 68755\n90232 100000\n15783 23715\n90501 100000\n50305 75366\n98376 100000\n24814 37221\n79419 100000\n47207 70682\n99581 100000\n53244 79749\n76185 100000\n84323 100000\n35275 52811\n75247 100000\n14156 21312\n4594 6937\n49988 74902\n99150 100000\n95585 100000\n98272 100000\n93307 100000\n61334 91955\n72296 100000\n63523 95262\n49341 73920\n5526 8340\n26434 39653\n16033 24075\n39025 58421\n82104 100000\n29559 44296\n81719 100000\n22828 34280\n98079 100000\n96446 100000\n27334 40981\n23061 34627\n1940 2933\n43617 65299\n13284 19999\n63597 95379\n22177 33310\n74522 100000\n10505 15805\n61185 91733\n58885 88258\n7897 11891\n9585 14413\n94964 100000\n5894 8905\n92032 100000\n73896 100000\n93610 100000\n51543 77229\n17180 25787\n93489 100000\n49603 74321\n51979 77855\n80379 100000\n92480 100000\n42498 63647\n67953 100000\n21099 31695\n39856 59664\n93212 100000\n84576 100000\n97294 100000\n47439 71032\n75646 100000\n29275 43870\n31027 46483\n1775 2672\n27864 41770\n39673 59370\n92793 100000\n11126 16758\n57925 86820\n17086 25645\n91214 100000\n83716 100000\n10542 15861\n43849 65640\n99534 100000\n93162 100000\n48817 73134\n51903 77746\n48828 73150\n64846 97270\n34598 51818\n25977 38971\n84808 100000\n19585 29424\n21216 31865\n70778 100000\n96826 100000\n39434 59025\n95614 100000\n90965 100000\n56249 84280\n69379 100000\n3062 4639\n36424 54548\n23779 35692\n88107 100000\n88911 100000\n7557 11389\n81354 100000\n65574 98358\n88366 100000\n31326 46932\n96416 100000\n28146 42207\n61980 92952\n39551 59191\n12646 19039\n91652 100000\n79148 100000\n69278 100000\n3654 5504\n49818 74644\n86308 100000\n88652 100000\n29126 43656\n78808 100000\n48291 72320\n54944 82306\n55377 82956\n59273 88848\n93570 100000\n51936 77790\n98920 100000\n74603 100000\n39103 58534\n85809 100000\n13871 20868\n40883 61217\n94427 100000\n56597 84812\n3717 5597\n91290 100000\n92458 100000\n71284 100000\n84502 100000\n80404 100000\n89217 100000\n87210 100000\n4600 6947\n36025 53934\n20102 30200\n50882 76228\n43007 64396\n40897 61241\n79024 100000\n96626 100000\n67105 100000\n77248 100000\n43924 65745\n86052 100000\n66993 100000\n62403 93584\n69041 100000\n72455 100000\n86931 100000\n89782 100000\n49905 74777\n21479 32259\n28726 43063\n96981 100000\n29484 44180\n41783 62577\n27229 40821\n71088 100000\n74435 100000\n8136 12242\n37550 56212\n47388 70959\n9280 13958\n71783 100000\n93762 100000\n48423 72527\n33834 50685\n15209 22872\n55391 82981\n96795 100000\n66959 100000\n57682 86455\n20156 30278\n52542 78710\n90930 100000\n84911 100000\n88091 100000\n5369 8104\n73048 100000\n7005 10578\n48312 72354\n29369 44012\n69884 100000\n84616 100000\n49810 74632\n16410 24640\n37290 55831\n89223 100000\n64353 96529\n39696 59408\n58848 88202\n35143 52613\n85383 100000\n45949 68789\n49896 74764\n86819 100000\n4883 7378\n68767 100000\n38663 57865\n93201 100000\n79928 100000\n19549 29369\n88645 100000\n64740 97103\n27835 41731\n13883 20887\n96793 100000\n49943 74831\n32381 48494\n53910 80754\n83720 100000\n92013 100000\n87786 100000\n44863 67173\n9354 14070\n95577 100000\n26238 39367\n91799 100000\n94801 100000\n67537 100000\n42435 63551\n82580 100000\n66837 100000\n66468 99697\n68068 100000\n10934 16467\n94484 100000\n83811 100000\n58626 87862\n88948 100000\n54326 81384\n41266 61796\n21926 32927\n73957 100000\n83256 100000\n16686 25043\n51837 77655\n30506 45714\n74573 100000\n2423 3677\n7710 11612\n50509 75671\n99698 100000\n68763 100000\n10726 16147\n36778 55073\n31046 46506\n21285 31963\n20292 30483\n25512 38271\n49633 74363\n34385 51516\n76539 100000\n86924 100000\n96511 100000\n86578 100000\n28792 43157\n65455 98188\n46829 70107\n10532 15845\n78504 100000\n84338 100000\n36453 54591\n44356 66398\n74279 100000\n54682 81919\n88857 100000\n63074 94589\n92608 100000\n1670 2505\n57223 85746\n49363 73958\n90807 100000\n73164 100000\n7960 11991\n59049 88500\n21145 31763\n8113 12212\n92549 100000\n56437 84564\n42291 63336\n70596 100000\n74254 100000\n18399 27621\n15546 23368\n63821 95729\n84744 100000\n35747 53510\n62166 93229\n71787 100000\n55865 83698\n74198 100000\n62200 93277\n9093 13662\n1491 2231\n35182 52666\n21903 32892\n89282 100000\n24867 37306\n24843 37266\n97793 100000\n23503 35282\n96914 100000\n35683 53420\n42392 63490\n48283 72309\n59127 88621\n78971 100000\n97886 100000\n70630 100000\n52131 78077\n88891 100000\n87226 100000\n68321 100000\n74112 100000\n35580 53274\n79529 100000\n19863 29840\n51171 76669\n25715 38578\n45154 67601\n99157 100000\n1134 1701\n52948 79310\n103 151\n28378 42548\n59412 89071\n11170 16833\n34312 51410\n19487 29283\n10743 16173\n53667 80384\n35997 53890\n8522 12822\n15173 22822\n24134 36218\n56879 85240\n79025 100000\n85250 100000\n42558 63734\n42599 63792\n54611 81810\n29939 44855\n87856 100000\n63934 95894\n65928 98895\n15289 22988\n32897 49289\n64258 96384\n42105 63052\n32581 48796\n85208 100000\n32000 47943\n40394 60475\n16496 24773\n46466 69568\n29878 44766\n48125 72063\n64468 96693\n26654 39961\n77296 100000\n90605 100000\n99560 100000\n45590 68255\n5831 8804\n67850 100000\n69292 100000\n12977 19536\n11352 17105\n62536 93791\n12828 19309\n66050 99069\n23566 35377\n4560 6881\n9538 14343\n15201 22861\n25506 38263\n74157 100000\n33034 49487\n34465 51629\n98296 100000\n25926 38897\n18515 27793\n78802 100000\n55230 82734\n60961 91388\n13116 19740\n23987 35997\n39993 59870\n44038 65914\n18214 27347\n68518 100000\n96876 100000\n35626 53337\n38142 57096\n17582 26398\n76532 100000\n35874 53703\n60730 91057\n36790 55088\n26532 39791\n42367 63454\n47332 70872\n6607 9972\n71209 100000\n51421 77046\n78001 100000\n90482 100000\n32604 48835\n6044 9127\n78121 100000\n15332 23055\n68392 100000\n2389 3621\n12255 18447\n10808 16275\n3427 5176\n98128 100000\n90155 100000\n66130 99193\n54362 81439\n10089 15181\n47377 70942\n44295 66306\n51876 77705\n78473 100000\n68150 100000\n33234 49789\n59239 88793\n40322 60364\n59368 88997\n41150 61620\n8077 12163\n64781 97168\n75561 100000\n9269 13943\n63511 95243\n97837 100000\n71184 100000\n90570 100000\n80061 100000\n87895 100000\n79889 100000\n35104 52561\n78053 100000\n29355 43988\n44293 66302\n89863 100000\n85529 100000\n70099 100000\n75492 100000\n6638 10016\n9886 14875\n94451 100000\n15163 22807\n10802 16267\n39424 59011\n79995 100000\n7455 11233\n19724 29627\n86962 100000\n50843 76174\n99753 100000\n39724 59448\n31302 46896\n34239 51302\n40835 61140\n24054 36094\n81527 100000\n26228 39350\n97994 100000\n57179 85682\n87144 100000\n9679 14555\n25505 38261\n89485 100000\n75830 100000\n13304 20030\n5830 8802\n22357 33583\n25393 38088\n39166 58631\n15616 23468\n98040 100000\n12888 19399\n30382 45527\n85846 100000\n18790 28209\n51147 76632\n33128 49624\n9494 14277\n95994 100000\n70053 100000\n4780 7218\n6314 9525\n5794 8748\n25655 38487\n85967 100000\n90274 100000\n49274 73817\n10128 15241\n6928 10463\n83178 100000\n73057 100000\n79274 100000\n18595 27911\n52521 78677\n87638 100000\n53829 80635\n61787 92649\n92470 100000\n38892 58214\n58235 87280\n20401 30655\n61422 92091\n50063 75012\n4713 7116\n1805 2722\n54337 81401\n33523 50224\n25227 37844\n84516 100000\n61676 92478\n5365 8097\n16898 25369\n494 735\n27412 41101\n8127 12231\n23124 34721\n33105 49593\n63297 94926\n74018 100000\n60821 91185\n85131 100000\n28893 43312\n6141 9271\n46579 69748\n91378 100000\n23966 35963\n9115 13700\n80513 100000\n83867 100000\n91427 100000\n18543 27838\n58640 87882\n48780 73075\n16911 25386\n30539 45763\n87924 100000\n91651 100000\n40936 61301\n58033 86983\n96973 100000\n34068 51042\n98565 100000\n69428 100000\n229 342\n99727 100000\n84286 100000\n22 32\n23781 35695\n91771 100000\n6344 9571\n64629 96937\n16083 24154\n71928 100000\n38538 57691\n80004 100000\n42091 63034\n37967 56836\n35526 53186\n33292 49879\n77259 100000\n68972 100000\n47059 70456\n69109 100000\n46816 70088\n58236 87282\n73046 100000\n78177 100000\n41642 62360\n92282 100000\n28930 43365\n12992 19557\n25614 38425\n55694 83439\n38211 57201\n22609 33958\n39559 59201\n71529 100000\n90078 100000\n4963 7496\n89645 100000\n10327 15540\n42743 64006\n11090 16706\n29215 43777\n91631 100000\n57712 86502\n32023 47972\n40296 60323\n98399 100000\n98463 100000\n86270 100000\n83293 100000\n6057 9145\n26305 39465\n21623 32478\n76566 100000\n9122 13713\n25623 38438\n83025 100000\n59252 88814\n34425 51575\n45889 68702\n92173 100000\n12516 18840\n28461 42671\n92520 100000\n14228 21414\n84334 100000\n59499 89202\n77927 100000\n29788 44630\n22136 33249\n82076 100000\n79333 100000\n44348 66388\n59691 89496\n5406 8157\n31742 47556\n45086 67501\n75601 100000\n46580 69749\n82835 100000\n44774 67041\n36518 54689\n85304 100000\n28840 43230\n93175 100000\n44997 67370\n38000 56886\n76425 100000\n26024 39040\n11797 17766\n68267 100000\n26738 40090\n79519 100000\n49453 74101\n82618 100000\n45218 67695\n82808 100000\n14069 21178\n77254 100000\n62259 93369\n98033 100000\n86132 100000\n12082 18179\n16538 24835\n25949 38932\n22915 34408\n44882 67201\n97644 100000\n24194 36306\n31659 47427\n37109 55559\n61036 91503\n17853 26804\n95899 100000\n6216 9378\n73788 100000\n51463 77109\n52838 79147\n26168 39260\n74027 100000\n67462 100000\n46109 69027\n4453 6721\n97758 100000\n48611 72813\n70323 100000\n4040 6093\n19820 29772\n23000 34536\n49280 73826\n49457 74105\n72408 100000\n86678 100000\n57328 85913\n97111 100000\n68754 100000\n70345 100000\n55101 82544\n301 448\n4133 6236\n39074 58492\n47893 71717\n61391 92042\n24476 36737\n72632 100000\n42255 63282\n75744 100000\n90904 100000\n76554 100000\n33477 50155\n24050 36089\n45183 67645\n19427 29194\n54901 82242\n10671 16063\n84511 100000\n56275 84319\n84076 100000\n52431 78535\n81958 100000\n51308 76874\n70638 100000\n22999 34534\n12779 19239\n23547 35351\n90816 100000\n46154 69095\n56466 84609\n814 1220\n40892 61232\n63241 94841\n94312 100000\n58466 87629\n40490 60622\n79195 100000\n68061 100000\n43488 65111\n83760 100000\n53392 79975\n56507 84670\n98512 100000\n57601 86335\n19630 29495\n55343 82909\n79178 100000\n4967 7502\n18641 27981\n57066 85521\n94305 100000\n71967 100000\n66566 99849\n25057 37594\n25331 37998\n20426 30694\n5492 8288\n48182 72151\n70046 100000\n35376 52958\n7741 11661\n71258 100000\n38254 57267\n83857 100000\n98969 100000\n62126 93168\n66802 100000\n11483 17293\n60719 91040\n68688 100000\n42695 63934\n68197 100000\n40783 61060\n80477 100000\n63326 94966\n31900 47791\n17242 25881\n47424 71010\n31474 47148\n63420 95103\n50143 75128\n17447 26196\n67765 100000\n74005 100000\n10012 15062\n15032 22615\n10765 16210\n791 1185\n73988 100000\n57913 86801\n9936 14945\n80058 100000\n83323 100000\n7093 10695\n65265 97912\n2706 4099\n27023 40510\n82053 100000\n35500 53144\n21388 32120\n26504 39753\n17673 26543\n86179 100000\n49787 74597\n26296 39450\n88446 100000\n49075 73516\n47475 71082\n81835 100000\n38077 57002\n94462 100000\n33615 50367\n87343 100000\n59257 88823\n33115 49608\n84457 100000\n26083 39128\n87271 100000\n64475 96703\n57603 86338\n54328 81387\n3770 5680\n22476 33762\n23133 34734\n60536 90762\n28245 42354\n17416 26150\n12702 19121\n62385 93555\n20158 30282\n36123 54079\n49462 74113\n68496 100000\n28255 42367\n54168 81148\n99135 100000\n31003 46448\n86149 100000\n19358 29090\n37880 56699\n20779 31219\n79015 100000\n65260 97903\n23843 35779\n97319 100000\n16441 24687\n50015 74940\n34435 51587\n72044 100000\n6485 9785\n20130 30240\n60021 89990\n17955 26956\n99760 100000\n20464 30753\n92073 100000\n27244 40844\n44170 66117\n94196 100000\n13624 20504\n62000 92980\n35996 53888\n53309 79847\n84711 100000\n76353 100000\n46864 70151\n56474 84619\n89266 100000\n91437 100000\n16453 24706\n66448 99663\n7618 11478\n98160 100000\n1285 1923\n57969 86886\n489 730\n64380 96565\n33019 49463\n35817 53612\n7561 11396\n29228 43798\n96861 100000\n85124 100000\n27847 41747\n74033 100000\n88400 100000\n66075 99110\n21601 32442\n79306 100000\n29229 43799\n52577 78760\n78960 100000\n19447 29222\n36007 53906\n68940 100000\n64270 96403\n44822 67109\n76033 100000\n84746 100000\n26437 39657\n28536 42784\n41459 62085\n2469 3742\n69685 100000\n52062 77976\n2689 4073\n36648 54883\n97521 100000\n28201 42291\n75048 100000\n79531 100000\n53645 80350\n51331 76910\n63925 95883\n91962 100000\n79732 100000\n69196 100000\n29418 44084\n30734 46060\n85739 100000\n72440 100000\n98065 100000\n6786 10250\n62567 93835\n44315 66336\n98733 100000\n30980 46415\n90582 100000\n31758 47577\n59055 88508\n42250 63274\n28940 43382\n86408 100000\n98064 100000\n80629 100000\n82645 100000\n7048 10630\n39067 58483\n91054 100000\n15133 22757\n7088 10687\n33299 49888\n31986 47922\n93275 100000\n36885 55227\n65976 98962\n8635 12992\n67014 100000\n30536 45759\n75576 100000\n26742 40095\n57087 85549\n54301 81346\n17827 26764\n10585 15927\n15262 22950\n49802 74619\n23571 35383\n6017 9087\n144 208\n44120 66038\n35906 53750\n90837 100000\n4727 7137\n11937 17961\n67039 100000\n66873 100000\n48351 72415\n56187 84189\n20192 30338\n16419 24653\n6087 9186\n81410 100000\n68462 100000\n25052 37585\n6460 9748\n13608 20478\n39314 58845\n23864 35811\n14100 21230\n74046 100000\n92676 100000\n48931 73301\n56756 85053\n47266 70773\n61287 91888\n63190 94760\n54284 81323\n99499 100000\n63339 94986\n74465 100000\n45411 67981\n10200 15344\n71032 100000\n84670 100000\n85059 100000\n90947 100000\n61261 91851\n89008 100000\n26508 39758\n4454 6722\n33882 50759\n64926 97394\n61301 91907\n52588 78775\n78485 100000\n80837 100000\n44355 66397\n46872 70163\n57497 86167\n80412 100000\n98808 100000\n67131 100000\n73538 100000\n9055 13609\n93931 100000\n30702 46014\n95273 100000\n72079 100000\n83051 100000\n72141 100000\n3211 4856\n35668 53400\n74767 100000\n37137 55602\n93107 100000\n31265 46845\n7427 11189\n19401 29157\n32090 48069\n5242 7914\n95128 100000\n94914 100000\n7492 11290\n55000 82383\n3961 5967\n87252 100000\n71705 100000\n31209 46761\n7345 11063\n19409 29169\n5394 8141\n60833 91201\n40661 60879\n92954 100000\n11713 17639\n21106 31705\n82000 100000\n59572 89315\n93846 100000\n12845 19335\n79774 100000\n35496 53139\n96995 100000\n54249 81269\n63600 95384\n74641 100000\n66083 99122\n54356 81430\n23810 35738\n61114 91627\n74929 100000\n98212 100000\n41857 62697\n72068 100000\n13352 20101\n56492 84645\n16296 24475\n22683 34064\n26020 39032\n81288 100000\n20946 31467\n98740 100000\n52932 79289\n77947 100000\n30361 45492\n58250 87305\n48568 72747\n3809 5740\n10245 15416\n80706 100000\n81217 100000\n96764 100000\n36530 54706\n30254 45334\n72631 100000\n76464 100000\n81195 100000\n11608 17479\n91387 100000\n55651 83375\n74104 100000\n86657 100000\n83522 100000\n21112 31714\n17053 25597\n7931 11946\n36505 54671\n93926 100000\n4537 6845\n86111 100000\n24848 37274\n92679 100000\n87508 100000\n41470 62103\n94413 100000\n72531 100000\n16309 24494\n3742 5637\n16842 25282\n22367 33601\n65138 97716\n4424 6676\n46158 69101\n16275 24445\n10678 16073\n74944 100000\n79627 100000\n25033 37556\n62869 94293\n62610 93898\n24904 37361\n22734 34139\n1339 2001\n41846 62681\n64685 97019\n7918 11925\n51388 76995\n4567 6892\n43346 64905\n46110 69029\n70548 100000\n92295 100000\n13254 19954\n5474 8262\n55820 83629\n13839 20817\n37659 56372\n29809 44666\n21752 32664\n1460 2179\n66594 99891\n87769 100000\n55424 83033\n76805 100000\n83658 100000\n29001 43470\n29429 44100\n13854 20842\n85272 100000\n56805 85129\n36378 54475\n77125 100000\n51172 76671\n99880 100000\n20201 30350\n41672 62407\n43238 64744\n49226 73749\n74261 100000\n51191 76702\n26521 39776\n28794 43159\n77391 100000\n17565 26371\n42119 63075\n41343 61910\n339 508\n71592 100000\n33308 49900\n76530 100000\n40569 60742\n83494 100000\n20731 31152\n47316 70848\n33425 50077\n65099 97656\n43944 65774\n46302 69325\n73186 100000\n8011 12066\n48590 72779\n66590 99885\n74499 100000\n20390 30639\n65345 98027\n81292 100000\n12552 18897\n89667 100000\n38891 58213\n16623 24951\n83436 100000\n75776 100000\n54246 81264\n59092 88570\n68931 100000\n23191 34819\n61503 92216\n60615 90881\n41786 62582\n48500 72639\n89456 100000\n84964 100000\n21954 32973\n7948 11971\n42368 63456\n22237 33408\n59634 89407\n13580 20439\n76651 100000\n66897 100000\n44101 66005\n65738 98604\n67076 100000\n93264 100000\n85969 100000\n45737 68470\n66812 100000\n40602 60793\n34507 51693\n30893 46288\n53281 79806\n85054 100000\n81280 100000\n86076 100000\n64594 96886\n66098 99146\n5875 8876\n69456 100000\n44178 66127\n1488 2227\n15431 23199\n66483 99721\n76455 100000\n75196 100000\n88140 100000\n32242 48295\n95149 100000\n1151 1725\n14085 21205\n11247 16949\n83709 100000\n97383 100000\n29289 43892\n91453 100000\n14455 21744\n66162 99238\n46225 69204\n87182 100000\n8533 12837\n97640 100000\n95107 100000\n48680 72919\n60067 90058\n7450 11225\n30819 46181\n31692 47483\n6749 10193\n84443 100000\n3984 6005\n99819 100000\n5482 8272\n76108 100000\n87586 100000\n85961 100000\n74185 100000\n46674 69884\n62394 93567\n3841 5789\n7058 10646\n95116 100000\n59224 88771\n94320 100000\n18781 28194\n59864 89755\n98255 100000\n56643 84884\n56707 84980\n77912 100000\n63697 95533\n50436 75556\n23391 35112\n57227 85752\n69737 100000\n43332 64884\n91851 100000\n53189 79663\n17266 25914\n92417 100000\n76077 100000\n46919 70237\n88960 100000\n73245 100000\n45536 68170\n13252 19952\n63987 95967\n58490 87663\n98805 100000\n93265 100000\n98051 100000\n10063 15138\n85792 100000\n59643 89421\n77554 100000\n23986 35996\n81874 100000\n91865 100000\n30224 45287\n30471 45663\n89959 100000\n9901 14895\n68772 100000\n49634 74365\n56634 84871\n748 1119\n98509 100000\n17781 26696\n41425 62036\n55393 82984\n2532 3837\n94041 100000\n92117 100000\n25810 38725\n70648 100000\n44828 67119\n66899 100000\n71902 100000\n84054 100000\n51050 76485\n36601 54810\n62406 93590\n84212 100000\n8265 12440\n62534 93787\n42060 62988\n93629 100000\n8323 12526\n32712 49003\n88356 100000\n63327 94967\n18914 28403\n91795 100000\n81313 100000\n43309 64851\n77293 100000\n10997 16557\n69249 100000\n9668 14539\n77517 100000\n46842 70122\n49681 74436\n79469 100000\n82970 100000\n12808 19278\n88577 100000\n15768 23695\n85956 100000\n56058 83994\n44455 66546\n44606 66775\n59210 88749\n34013 50957\n91089 100000\n72356 100000\n9489 14269\n47327 70866\n71499 100000\n27532 41280\n23215 34856\n58259 87320\n3998 6024\n31847 47707\n14533 21861\n48276 72299\n92619 100000\n18160 27264\n84795 100000\n11636 17523\n74700 100000\n96107 100000\n63824 95733\n72723 100000\n65945 98919\n70471 100000\n71104 100000\n62542 93798\n74643 100000\n66429 99631\n62288 93416\n41915 62774\n45111 67539\n32976 49402\n13754 20691\n57150 85638\n3058 4634\n42863 64182\n738 1101\n92496 100000\n49406 74029\n92316 100000\n80625 100000\n4342 6553\n2506 3796\n95950 100000\n3990 6014\n97871 100000\n85182 100000\n45939 68774\n47975 71838\n86039 100000\n44449 66535\n11015 16587\n65620 98428\n88291 100000\n52016 77908\n54679 81915\n44347 66386\n18226 27364\n57644 86395\n85690 100000\n15172 22820\n6276 9465\n6898 10421\n50782 76086\n91700 100000\n30968 46399\n22598 33939\n32296 48372\n7451 11227\n4902 7404\n32499 48669\n65306 97971\n33406 50049\n18554 27854\n43072 64495\n93894 100000\n58717 88002\n64014 96008\n86226 100000\n96974 100000\n76544 100000\n37809 56603\n1021 1530\n35548 53224\n75111 100000\n23025 34574\n12271 18471\n44489 66601\n94797 100000\n91882 100000\n93034 100000\n69578 100000\n2662 4029\n96639 100000\n87447 100000\n18020 27052\n99115 100000\n17083 25641\n69080 100000\n15028 22610\n95074 100000\n34530 51724\n84708 100000\n6639 10017\n39396 58968\n38201 57187\n20294 30486\n4289 6476\n21901 32889\n88995 100000\n2441 3706\n69514 100000\n20747 31174\n16465 24722\n21137 31750\n2126 3213\n926 1383\n74144 100000\n20645 31017\n91193 100000\n60837 91207\n22209 33364\n10922 16450\n82734 100000\n55437 83053\n66597 99895\n41414 62018\n76193 100000\n89050 100000\n351 527\n13836 20811\n13379 20141\n11413 17194\n27565 41330\n81479 100000\n70560 100000\n45591 68256\n4870 7359\n67950 100000\n84353 100000\n52332 78388\n66314 99468\n92996 100000\n51558 77248\n92421 100000\n41190 61682\n47242 70738\n77146 100000\n61326 91944\n56443 84575\n86841 100000\n86925 100000\n1365 2041\n39830 59621\n86736 100000\n59433 89106\n63735 95591\n99920 100000\n29918 44826\n2394 3629\n34601 51822\n46130 69056\n84096 100000\n31310 46907\n27878 41791\n27790 41664\n7406 11155\n56368 84459\n84533 100000\n62095 93120\n59821 89688\n96529 100000\n42495 63643\n98810 100000\n22966 34483\n88893 100000\n29109 43631\n51261 76804\n98523 100000\n94531 100000\n14449 21735\n69592 100000\n29810 44668\n5345 8067\n40483 60612\n31026 46481\n54988 82366\n65724 98581\n23177 34799\n56461 84600\n95386 100000\n68510 100000\n30218 45275\n23171 34790\n25953 38937\n78169 100000\n79616 100000\n15047 22635\n14687 22094\n4427 6679\n63021 94513\n14747 22184\n1037 1557\n9202 13841\n32997 49432\n98879 100000\n96167 100000\n10545 15866\n89286 100000\n78688 100000\n98689 100000\n23746 35645\n36961 55334\n9297 13984\n89889 100000\n53810 80609\n51648 77375\n89845 100000\n50151 75138\n17094 25657\n17975 26986\n40069 59991\n27441 41143\n23414 35147\n23675 35537\n21753 32666\n4921 7432\n89861 100000\n83386 100000\n70347 100000\n66306 99455\n63057 94564\n63882 95822\n514 765\n92198 100000\n24529 36809\n60051 90035\n52378 78452\n73030 100000\n30653 45942\n73550 100000\n74981 100000\n32972 49396\n56506 84668\n6655 10042\n38737 57973\n61081 91575\n14931 22465\n60346 90471\n52162 78120\n12613 18991\n29920 44829\n34944 52324\n23861 35806\n90628 100000\n56428 84554\n79700 100000\n34229 51290\n33907 50795\n52582 78768\n50156 75145\n66781 100000\n75891 100000\n84235 100000\n43718 65448\n85171 100000\n33606 50351\n57887 86759\n34611 51837\n74560 100000\n50066 75017\n67228 100000\n88092 100000\n12934 19471\n29586 44338\n77579 100000\n56587 84796\n28320 42461\n73668 100000\n17701 26584\n17457 26210\n9003 13539\n24839 37260\n95818 100000\n71590 100000\n66474 99706\n2240 3389\n22924 34422\n20412 30672\n44054 65935\n88718 100000\n70223 100000\n37745 56502\n17836 26779\n18161 27266\n58826 88169\n43970 65813\n72847 100000\n65309 97976\n46004 68871\n49679 74434\n93335 100000\n45383 67938\n65821 98728\n34333 51435\n5068 7655\n42562 63738\n39903 59737\n78433 100000\n71253 100000\n59341 88954\n33435 50092\n83416 100000\n75354 100000\n97989 100000\n97167 100000\n25980 38974\n73154 100000\n14866 22366\n66706 100000\n9313 14006\n95046 100000\n6921 10453\n73528 100000\n89444 100000\n56388 84490\n56560 84753\n82871 100000\n13371 20130\n49148 73631\n26659 39968\n38408 57504\n63485 95203\n17547 26345\n61151 91680\n82190 100000\n93549 100000\n26336 39510\n46469 69573\n30314 45427\n49328 73901\n22146 33265\n12365 18614\n70247 100000\n61348 91974\n48539 72700\n76914 100000\n55689 83433\n49354 73942\n5532 8348\n5654 8524\n86086 100000\n15027 22609\n39965 59828\n11382 17148\n66268 99397\n90248 100000\n60888 91277\n82079 100000\n94135 100000\n51416 77038\n31719 47522\n78762 100000\n65292 97951\n98777 100000\n46122 69045\n51604 77312\n14542 21873\n71627 100000\n939 1403\n59347 88963\n10662 16047\n86880 100000\n12353 18594\n61636 92416\n44657 66857\n5141 7762\n50828 76152\n4670 7055\n30547 45775\n10171 15305\n57569 86286\n93675 100000\n32723 49019\n31540 47246\n30552 45783\n80161 100000\n33610 50357\n33524 50226\n5609 8455\n42939 64295\n58388 87514\n29171 43718\n96705 100000\n55916 83773\n86670 100000\n73701 100000\n88248 100000\n58823 88164\n38286 57313\n85172 100000\n98857 100000\n92747 100000\n79588 100000\n13740 20672\n88659 100000\n56470 84613\n87571 100000\n88207 100000\n82815 100000\n78016 100000\n91283 100000\n34269 51345\n12971 19526\n61447 92126\n6223 9388\n24446 36693\n53833 80642\n58305 87392\n66813 100000\n54384 81468\n94893 100000\n91383 100000\n27806 41688\n58756 88067\n28166 42240\n3862 5821\n71466 100000\n19073 28646\n23505 35285\n95234 100000\n70197 100000\n57907 86792\n54402 81495\n35806 53593\n85995 100000\n80372 100000\n5671 8551\n32781 49107\n23539 35338\n51339 76921\n17370 26079\n59455 89130\n66346 99518\n31931 47837\n23051 34613\n5621 8473\n71921 100000\n41984 62874\n66914 100000\n63236 94832\n51481 77136\n45161 67613\n15990 24016\n55890 83735\n630 941\n79039 100000\n79711 100000\n36575 54772\n75501 100000\n51354 76948\n9571 14391\n718 1073\n83466 100000\n93550 100000\n78714 100000\n87443 100000\n49791 74602\n72680 100000\n17618 26451\n31150 46665\n65904 98860\n33285 49869\n46729 69965\n76395 100000\n7084 10682\n134 194\n76952 100000\n4360 6578\n38275 57297\n26014 39023\n52417 78512\n42331 63396\n56983 85396\n63097 94624\n56578 84779\n44133 66060\n31907 47803\n6007 9076\n5785 8731\n8557 12872\n65770 98655\n23351 35054\n87910 100000\n14781 22237\n17871 26831\n28568 42833\n39660 59352\n33270 49845\n47056 70452\n70121 100000\n81219 100000\n1638 2455\n62262 93374\n37879 56698\n41191 61683\n71656 100000\n26010 39018\n39790 59554\n39933 59782\n38853 58158\n2933 4439\n53662 80375\n31107 46598\n98372 100000\n74036 100000\n74404 100000\n81269 100000\n93387 100000\n52522 78678\n33544 50254\n44009 65870\n6108 9217\n80920 100000\n42125 63083\n86822 100000\n45571 68226\n58127 87124\n87081 100000\n19066 28636\n4966 7501\n29977 44910\n12204 18365\n32399 48519\n90850 100000\n29937 44853\n84061 100000\n40206 60196\n83878 100000\n48308 72348\n70258 100000\n46725 69960\n46560 69720\n13017 19596\n3612 5445\n31433 47087\n5043 7610\n60111 90120\n31295 46886\n23656 35507\n21401 32141\n32736 49038\n85816 100000\n4777 7215\n20449 30731\n49370 73970\n55809 83611\n93794 100000\n91874 100000\n94251 100000\n72497 100000\n66840 100000\n66115 99170\n92935 100000\n11016 16589\n60967 91396\n49038 73459\n21217 31866\n4996 7542\n3377 5104\n17525 26313\n6507 9821\n39637 59317\n98099 100000\n51809 77612\n36967 55345\n16431 24672\n55685 83427\n71304 100000\n34357 51473\n58937 88332\n48665 72895\n67248 100000\n36064 53991\n68433 100000\n68265 100000\n39280 58795\n73836 100000\n9962 14985\n27695 41519\n99512 100000\n83862 100000\n79423 100000\n78632 100000\n36 51\n15600 23445\n13994 21057\n62241 93341\n95105 100000\n897 1332\n55330 82886\n39762 59507\n15442 23215\n38198 57183\n78459 100000\n39393 58962\n43624 65311\n55454 83077\n97492 100000\n95842 100000\n28103 42143\n34596 51814\n68104 100000\n14847 22335\n6004 9071\n90463 100000\n97663 100000\n83315 100000\n22974 34496\n68696 100000\n74286 100000\n79816 100000\n94263 100000\n41045 61458\n20237 30406\n33351 49964\n43391 64968\n74841 100000\n46571 69736\n37644 56347\n77089 100000\n942 1408\n50311 75377\n3827 5765\n440 658\n70637 100000\n73903 100000\n7149 10777\n15341 23068\n89883 100000\n62737 94097\n81365 100000\n39214 58700\n98946 100000\n1316 1967\n19271 28958\n44078 65972\n28285 42412\n24029 36059\n25212 37820\n54540 81707\n57691 86470\n8874 13349\n83698 100000\n49869 74723\n2620 3971\n95511 100000\n7205 10862\n67907 100000\n61077 91569\n55056 82466\n7690 11584\n3364 5084\n51345 76932\n58225 87266\n30666 45963\n87240 100000\n40727 60975\n57134 85616\n72979 100000\n74786 100000\n39744 59479\n59236 88788\n34291 51376\n49455 74103\n17851 26802\n83028 100000\n35060 52497\n26774 40141\n79431 100000\n99437 100000\n92228 100000\n51880 77710\n59852 89736\n4083 6163\n15118 22735\n54962 82328\n39944 59798\n63734 95590\n12525 18855\n57557 86266\n28852 43249\n53267 79784\n54699 81943\n70453 100000\n92514 100000\n62968 94439\n84117 100000\n53921 80773\n45452 68044\n45297 67812\n28261 42375\n37992 56874\n91685 100000\n50275 75322\n69491 100000\n95815 100000\n8774 13199\n52048 77957\n18937 28439\n11163 16821\n34100 51094\n55240 82747\n15176 22826\n70944 100000\n66976 100000\n57850 86701\n19387 29138\n70707 100000\n20617 30973\n34490 51665\n31818 47668\n50630 75855\n14343 21584\n42869 64190\n16891 25357\n41825 62647\n40792 61076\n22483 33771\n84086 100000\n10717 16132\n87207 100000\n11276 16993\n78261 100000\n13430 20218\n43489 65113\n65497 98248\n92527 100000\n90298 100000\n74423 100000\n50684 75939\n525 782\n56236 84262\n74885 100000\n76086 100000\n21575 32402\n73083 100000\n16552 24856\n42205 63206\n94408 100000\n83670 100000\n74506 100000\n16358 24563\n69171 100000\n37180 55666\n80057 100000\n22787 34218\n16114 24197\n47862 71665\n12171 18314\n61144 91671\n67483 100000\n18075 27138\n26147 39226\n68057 100000\n50737 76017\n95126 100000\n57770 86585\n18706 28081\n70639 100000\n34473 51642\n54349 81419\n99657 100000\n95057 100000\n1631 2446\n48189 72163\n96716 100000\n60034 90012\n83157 100000\n54410 81508\n99438 100000\n51122 76592\n53770 80550\n63257 94866\n84007 100000\n54628 81836\n88876 100000\n90544 100000\n32690 48965\n8306 12503\n19146 28764\n43599 65267\n78041 100000\n33744 50553\n26853 40258\n21195 31832\n42754 64024\n37072 55501\n5640 8503\n37330 55889\n205 304\n16715 25087\n58360 87469\n80333 100000\n80054 100000\n38748 57989\n74666 100000\n5263 7945\n43008 64398\n59204 88739\n83484 100000\n77824 100000\n84513 100000\n98625 100000\n88762 100000\n2466 3737\n54995 82377\n69648 100000\n56360 84446\n57953 86862\n23865 35812\n1899 2868\n87677 100000\n18393 27612\n84252 100000\n97912 100000\n11040 16630\n63235 94831\n83661 100000\n19186 28828\n52797 79083\n96603 100000\n54917 82264\n68948 100000\n61143 91669\n91953 100000\n99855 100000\n18613 27940\n57544 86245\n2434 3695\n38964 58323\n16897 25367\n93346 100000\n4274 6452\n1330 1986\n88496 100000\n58418 87558\n27188 40757\n97419 100000\n66901 100000\n16892 25359\n21359 32078\n17965 26971\n75436 100000\n13628 20512\n54150 81121\n85102 100000\n45631 68315\n32367 48477\n62016 93005\n62308 93446\n99779 100000\n20386 30632\n6552 9889\n83413 100000\n71585 100000\n4827 7290\n38033 56935\n57488 86152\n38001 56888\n16893 25360\n73492 100000\n34179 51211\n65769 98653\n71991 100000\n90408 100000\n26197 39304\n82783 100000\n31448 47109\n35231 52742\n71433 100000\n60966 91395\n670 1000\n12587 18950\n65968 98950\n69997 100000\n83780 100000\n63604 95390\n30238 45309\n65954 98931\n29762 44592\n50616 75833\n42918 64267\n62257 93366\n6780 10242\n6671 10068\n70405 100000\n57649 86403\n89293 100000\n71722 100000\n9805 14747\n83439 100000\n61597 92363\n94306 100000\n79850 100000\n47987 71860\n43860 65654\n10882 16383\n18072 27133\n30525 45741\n86206 100000\n9980 15013\n57995 86924\n49408 74033\n71754 100000\n33746 50555\n10325 15537\n34722 51998\n8812 13257\n49859 74707\n64171 96248\n85777 100000\n98901 100000\n60338 90460\n46380 69437\n7574 11415\n6483 9782\n89028 100000\n42370 63460\n80226 100000\n11275 16991\n19245 28918\n24705 37074\n11277 16994\n38269 57290\n62085 93104\n91126 100000\n44266 66263\n62538 93794\n27155 40708\n80152 100000\n96325 100000\n46966 70308\n71790 100000\n26691 40025\n59682 89479\n99303 100000\n22379 33617\n10833 16315\n79071 100000\n59773 89622\n87237 100000\n68944 100000\n50591 75798\n15186 22839\n87751 100000\n51174 76675\n77016 100000\n30233 45301\n53190 79665\n277 412\n6306 9513\n91951 100000\n15739 23655\n93583 100000\n97324 100000\n3987 6010\n91480 100000\n39362 58915\n41710 62465\n7411 11163\n65809 98712\n7004 10577\n595 890\n18051 27102\n89804 100000\n91201 100000\n15069 22667\n76758 100000\n64770 97148\n77071 100000\n82069 100000\n77775 100000\n95422 100000\n64923 97389\n40461 60579\n166 242\n39005 58390\n7677 11563\n24184 36292\n92897 100000\n87982 100000\n15233 22905\n19112 28713\n33939 50843\n72014 100000\n84710 100000\n92145 100000\n72109 100000\n62277 93397\n2932 4438\n43496 65121\n8489 12768\n50401 75508\n77503 100000\n77361 100000\n2037 3075\n85174 100000\n95957 100000\n7548 11377\n23029 34582\n26952 40404\n84314 100000\n59466 89147\n59262 88831\n22638 33995\n88543 100000\n5265 7947\n81237 100000\n90818 100000\n6165 9307\n56678 84939\n43687 65399\n72222 100000\n93398 100000\n14233 21421\n55514 83166\n52966 79334\n41874 62719\n64062 96084\n94660 100000\n5877 8880\n7313 11019\n56330 84401\n60738 91070\n18538 27830\n9438 14193\n51301 76865\n5506 8309\n93234 100000\n536 802\n71302 100000\n54302 81347\n46482 69591\n71256 100000\n91249 100000\n65481 98222\n21341 32044\n30797 46150\n75911 100000\n98489 100000\n63781 95663\n56655 84904\n60294 90395\n30012 44965\n63620 95414\n36947 55313\n73218 100000\n58723 88011\n81614 100000\n35395 52986\n10946 16485\n22718 34115\n45462 68062\n74388 100000\n17786 26702\n75429 100000\n85853 100000\n1117 1675\n67048 100000\n53230 79724\n52372 78442\n42347 63421\n46139 69070\n67922 100000\n9941 14954\n80136 100000\n37599 56285\n20093 30187\n54550 81720\n69507 100000\n33875 50747\n27064 40572\n57831 86673\n73412 100000\n77008 100000\n94442 100000\n35188 52674\n90820 100000\n14993 22559\n73193 100000\n75467 100000\n30204 45255\n57434 86072\n63254 94861\n36326 54392\n86693 100000\n44864 67174\n92932 100000\n50415 75527\n3928 5918\n68589 100000\n25901 38863\n58725 88014\n16228 24373\n20564 30898\n43984 65833\n5876 8878\n69395 100000\n61745 92582\n49662 74407\n44064 65951\n92732 100000\n77617 100000\n6252 9429\n75190 100000\n21117 31720\n42827 64131\n74857 100000\n42815 64111\n21453 32219\n27995 41967\n98232 100000\n92271 100000\n47406 70982\n839 1252\n15634 23494\n84997 100000\n93810 100000\n2568 3892\n72402 100000\n39712 59431\n80532 100000\n47510 71137\n64054 96072\n84501 100000\n27454 41164\n18560 27862\n39253 58757\n98610 100000\n50610 75826\n51291 76850\n46032 68911\n78913 100000\n76313 100000\n92219 100000\n41787 62583\n33002 49438\n40174 60150\n90087 100000\n55986 83880\n54431 81541\n38721 57949\n22298 33498\n75320 100000\n5364 8095\n11364 17121\n44515 66635\n19294 28993\n67377 100000\n74082 100000\n66882 100000\n62348 93498\n45813 68587\n26547 39813\n81780 100000\n79380 100000\n433 647\n28537 42786\n39550 59189\n92917 100000\n47264 70771\n77028 100000\n68869 100000\n52001 77885\n81880 100000\n51968 77839\n99257 100000\n21357 32074\n16981 25490\n28589 42866\n73689 100000\n50775 76074\n38537 57689\n36436 54567\n25058 37596\n56281 84327\n38216 57209\n40904 61253\n74772 100000\n76641 100000\n65110 97672\n63982 95961\n94303 100000\n34516 51705\n52495 78636\n34262 51334\n37548 56209\n1391 2079\n98596 100000\n78989 100000\n84124 100000\n84527 100000\n61046 91518\n70980 100000\n34083 51067\n67128 100000\n9264 13935\n47888 71709\n63940 95904\n87168 100000\n32130 48126\n19165 28795\n17461 26217\n8228 12382\n7244 10918\n40371 60443\n50802 76116\n77955 100000\n80991 100000\n59325 88929\n60207 90263\n56087 84039\n86665 100000\n14132 21274\n92442 100000\n11323 17066\n9118 13705\n22112 33214\n77482 100000\n76549 100000\n99751 100000\n59200 88733\n55087 82518\n44803 67083\n38355 57422\n30060 45040\n38536 57688\n927 1384\n99074 100000\n96537 100000\n65127 97699\n30333 45456\n61150 91679\n32927 49333\n62608 93895\n24408 36633\n82692 100000\n27684 41506\n33027 49477\n72565 100000\n78342 100000\n3842 5790\n97134 100000\n44164 66106\n32426 48561\n3772 5683\n75517 100000\n95876 100000\n82576 100000\n50990 76395\n11754 17703\n36327 54394\n19145 28762\n21983 33012\n13659 20558\n49441 74084\n39066 58482\n70277 100000\n85325 100000\n13558 20402\n92753 100000\n96807 100000\n31895 47784\n27288 40911\n14383 21645\n75107 100000\n92826 100000\n16477 24743\n61779 92638\n66557 99834\n12382 18639\n45312 67832\n1414 2112\n99972 100000\n70078 100000\n37272 55803\n15524 23337\n28621 42912\n11991 18043\n34359 51476\n31216 46771\n70786 100000\n25082 37632\n23288 34960\n43988 65839\n69300 100000\n56462 84602\n74601 100000\n46521 69656\n46544 69693\n72711 100000\n23874 35826\n32791 49122\n91719 100000\n35329 52888\n17358 26059\n8736 13144\n51996 77877\n73856 100000\n84728 100000\n49239 73767\n74408 100000\n40266 60282\n68322 100000\n21440 32201\n30662 45957\n83291 100000\n62880 94310\n31757 47576\n4458 6727\n71726 100000\n43621 65306\n45544 68182\n78576 100000\n47945 71791\n96917 100000\n28358 42518\n78668 100000\n42028 62936\n37774 56549\n15906 23897\n27732 41573\n98409 100000\n62529 93779\n71434 100000\n88558 100000\n37852 56660\n9216 13861\n56821 85153\n35899 53741\n72488 100000\n16345 24545\n68878 100000\n70396 100000\n8157 12274\n34390 51523\n37082 55520\n29561 44299\n29551 44280\n55010 82399\n19532 29347\n82971 100000\n51926 77777\n72256 100000\n81967 100000\n53123 79570\n30130 45143\n23031 34585\n86451 100000\n51552 77240\n89531 100000\n29759 44589\n79483 100000\n97081 100000\n64178 96260\n35728 53483\n15345 23076\n8340 12553\n22729 34130\n64704 97051\n6836 10327\n1838 2772\n71650 100000\n13456 20253\n20927 31442\n54259 81283\n33458 50125\n27096 40620\n72930 100000\n14620 21988\n37161 55636\n75453 100000\n37413 56007\n33646 50416\n95999 100000\n1647 2469\n78891 100000\n23657 35509\n29518 44228\n32894 49284\n89864 100000\n65899 98851\n3460 5223\n87472 100000\n43711 65436\n3065 4643\n16855 25304\n72271 100000\n22463 33741\n42333 63399\n47983 71853\n59258 88825\n17499 26273\n82168 100000\n40867 61189\n62143 93193\n65647 98465\n30170 45203\n80534 100000\n53455 80068\n86937 100000\n66633 99950\n68054 100000\n81222 100000\n38999 58380\n39688 59396\n21690 32575\n68805 100000\n85506 100000\n81290 100000\n55952 83830\n9210 13852\n58395 87523\n88872 100000\n21925 32926\n55484 83122\n74804 100000\n64661 96986\n8747 13160\n49620 74345\n9022 13564\n82681 100000\n11261 16970\n86333 100000\n12978 19538\n25998 38997\n43337 64892\n63184 94753\n25321 37981\n63549 95304\n64973 97466\n33752 50565\n21778 32707\n93965 100000\n58059 87024\n13977 21030\n12117 18232\n58671 87930\n75511 100000\n95264 100000\n81799 100000\n29221 43787\n29099 43617\n75068 100000\n42072 63006\n71303 100000\n32878 49257\n31961 47882\n17200 25815\n1348 2016\n26896 40323\n49035 73454\n37256 55780\n8218 12367\n78809 100000\n43816 65588\n70236 100000\n80170 100000\n66333 99499\n49398 74018\n63054 94560\n56413 84529\n40030 59928\n5266 7948\n45859 68659\n8759 13178\n13395 20165\n83280 100000\n24674 37027\n96294 100000\n9693 14575\n73136 100000\n11575 17432\n81368 100000\n96032 100000\n21560 32380\n87053 100000\n59514 89225\n27536 41287\n34765 52064\n42751 64019\n77732 100000\n6481 9779\n46991 70348\n14963 22514\n39623 59297\n47051 70443\n67117 100000\n90528 100000\n99177 100000\n3751 5649\n10568 15901\n29893 44790\n93326 100000\n10436 15705\n17719 26608\n18193 27314\n53416 80009\n97677 100000\n67236 100000\n15788 23723\n61232 91804\n89372 100000\n80355 100000\n94025 100000\n9880 14866\n82740 100000\n74946 100000\n98575 100000\n75573 100000\n47758 71504\n46224 69202\n76041 100000\n3306 5000\n55458 83084\n65132 97706\n19845 29812\n69020 100000\n48104 72034\n62774 94149\n41899 62753\n98189 100000\n53161 79622\n19560 29385\n67815 100000\n25011 37524\n51842 77662\n30072 45056\n12154 18286\n23100 34684\n2921 4422\n64647 96964\n18803 28228\n21643 32506\n95680 100000\n20743 31168\n69398 100000\n47549 71193\n85975 100000\n53381 79958\n39105 58536\n27967 41923\n79863 100000\n27626 41419\n87580 100000\n42967 64341\n94756 100000\n13678 20585\n92558 100000\n45937 68772\n67960 100000\n36674 54924\n1785 2689\n104 152\n45605 68276\n94346 100000\n63789 95677\n43957 65794\n7915 11920\n56191 84197\n36620 54839\n28258 42371\n61762 92610\n52833 79140\n36592 54798\n67752 100000\n75928 100000\n60919 91325\n15325 23044\n63443 95134\n86014 100000\n15155 22793\n39715 59436\n89532 100000\n5102 7710\n34402 51539\n64539 96805\n23815 35744\n2626 3980\n24330 36514\n29382 44029\n29500 44203\n62168 93233\n41916 62776\n42605 63799\n33309 49902\n51185 76694\n1033 1551\n58198 87226\n53483 80108\n17100 25665\n27920 41855\n96654 100000\n49494 74165\n8501 12789\n80956 100000\n55459 83086\n99368 100000\n92494 100000\n47524 71157\n57435 86073\n92183 100000\n54020 80924\n89901 100000\n6023 9096\n20272 30458\n16022 24060\n38495 57633\n47868 71675\n75957 100000\n41650 62372\n34581 51791\n42301 63351\n93000 100000\n84745 100000\n22503 33802\n14538 21867\n20345 30566\n41513 62164\n81411 100000\n2575 3903\n24367 36571\n97181 100000\n24569 36867\n29702 44499\n72262 100000\n44132 66058\n69066 100000\n15762 23686\n21604 32448\n16010 24045\n38846 58147\n87092 100000\n67835 100000\n65382 98078\n12489 18801\n62761 94131\n77634 100000\n39529 59156\n79960 100000\n13360 20114\n36508 54674\n15400 23157\n38183 57160\n34201 51245\n21194 31831\n83145 100000\n71419 100000\n43047 64455\n968 1450\n25797 38707\n96804 100000\n64360 96538\n20368 30600\n10644 16019\n94268 100000\n11037 16626\n25845 38780\n46784 70043\n63830 95743\n44422 66499\n40764 61028\n30462 45650\n70791 100000\n39520 59145\n79862 100000\n76022 100000\n28953 43401\n57968 86884\n85914 100000\n1778 2678\n25896 38855\n45346 67883\n11897 17905\n36152 54125\n52358 78425\n61051 91526\n84943 100000\n45487 68100\n61169 91707\n50594 75803\n776 1161\n36625 54845\n22848 34309\n54630 81839\n35729 53484\n11388 17156\n75211 100000\n95376 100000\n87063 100000\n57122 85597\n375 566\n15170 22816\n7936 11953\n40061 59980\n66571 99858\n38228 57228\n81838 100000\n8581 12913\n47957 71810\n92927 100000\n45865 68667\n62883 94313\n40899 61244\n72886 100000\n44261 66256\n34138 51149\n15889 23871\n45372 67923\n94734 100000\n43665 65369\n97527 100000\n74518 100000\n52722 78968\n9702 14588\n38617 57804\n17515 26298\n60481 90679\n98818 100000\n23340 35036\n24249 36385\n83365 100000\n10047 15117\n66440 99648\n72016 100000\n49227 73751\n19179 28817\n62562 93830\n43150 64609\n12301 18516\n3702 5576\n95183 100000\n78158 100000\n35337 52900\n9987 15022\n39444 59038\n63951 95917\n18794 28214\n9540 14347\n69159 100000\n37556 56219\n88870 100000\n53516 80155\n34422 51570\n55927 83792\n62855 94272\n61568 92319\n69835 100000\n37518 56162\n75232 100000\n9842 14805\n47063 70462\n67283 100000\n21438 32198\n28802 43171\n43440 65039\n14643 22026\n9894 14885\n98970 100000\n36578 54776\n65684 98518\n79901 100000\n81573 100000\n69571 100000\n16631 24961\n10539 15856\n27470 41190\n44618 66796\n45820 68596\n58534 87726\n30773 46112\n38841 58138\n80651 100000\n97395 100000\n2701 4093\n27780 41647\n4788 7232\n72996 100000\n16106 24185\n29190 43739\n96039 100000\n66704 100000\n53756 80525\n57342 85933\n60406 90565\n92151 100000\n25231 37849\n90714 100000\n87690 100000\n74396 100000\n77545 100000\n33946 50854\n8111 12209\n19764 29684\n82038 100000\n16047 24097\n42909 64251\n74250 100000\n62512 93753\n95949 100000\n48762 73047\n379 572\n26411 39621\n87114 100000\n30924 46333\n13981 21038\n41812 62627\n89908 100000\n7130 10749\n35941 53803\n66649 99972\n38749 57990\n27158 40712\n53096 79531\n96564 100000\n35795 53579\n54709 81957\n84915 100000\n22460 33737\n55789 83584\n33060 49528\n93932 100000\n85296 100000\n20116 30221\n41612 62315\n55460 83088\n96683 100000\n54192 81183\n2289 3462\n61082 91576\n37997 56883\n19846 29814\n74263 100000\n5215 7875\n98827 100000\n40043 59949\n14568 21913\n27046 40547\n17616 26448\n24894 37347\n46173 69120\n85934 100000\n60314 90426\n24333 36518\n45960 68807\n72310 100000\n93180 100000\n59717 89535\n4142 6251\n74055 100000\n50532 75707\n74345 100000\n99911 100000\n90186 100000\n72047 100000\n32653 48907\n40125 60074\n4774 7211\n88553 100000\n37865 56676\n4412 6657\n41726 62488\n91100 100000\n77571 100000\n48746 73023\n99255 100000\n4328 6531\n68604 100000\n69859 100000\n6896 10418\n36349 54431\n61430 92104\n16408 24636\n57006 85433\n67649 100000\n22913 34406\n43871 65669\n46723 69957\n29866 44749\n4876 7368\n16913 25390\n69441 100000\n68320 100000\n70285 100000\n42226 63238\n58106 87092\n62010 92996\n52803 79092\n44680 66897\n12567 18920\n61830 92710\n22716 34113\n24111 36180\n35408 53005\n36729 55003\n57428 86063\n290 433\n9709 14599\n97281 100000\n4659 7038\n44400 66467\n78948 100000\n70379 100000\n18390 27607\n30759 46095\n46549 69701\n85098 100000\n16097 24172\n24739 37121\n69718 100000\n70591 100000\n10720 16136\n302 450\n9199 13835\n88730 100000\n22675 34049\n81613 100000\n44525 66651\n372 563\n50941 76325\n28409 42593\n18868 28334\n14608 21971\n95788 100000\n36683 54936\n77859 100000\n57817 86653\n64789 97180\n43699 65418\n16179 24301\n73055 100000\n18724 28106\n84160 100000\n75070 100000\n19191 28833\n28581 42854\n22590 33927\n42211 63216\n38202 57189\n53503 80134\n3589 5413\n53273 79792\n89470 100000\n85912 100000\n67952 100000\n77929 100000\n9504 14292\n2046 3089\n57366 85967\n95591 100000\n8482 12758\n47633 71318\n64701 97046\n74868 100000\n42926 64277\n31279 46863\n16524 24816\n45221 67700\n76487 100000\n44966 67324\n56859 85209\n29741 44561\n82073 100000\n48514 72661\n811 1215\n52437 78545\n69033 100000\n9724 14620\n26324 39489\n69475 100000\n10004 15050\n19499 29300\n65805 98707\n79235 100000\n87861 100000\n67872 100000\n51189 76700\n9630 14478\n24672 37024\n143 207\n5210 7867\n74125 100000\n73462 100000\n62298 93432\n75617 100000\n99245 100000\n47008 70377\n47025 70401\n63170 94733\n37277 55812\n29128 43659\n73052 100000\n33333 49936\n79272 100000\n59701 89510\n73637 100000\n42693 63931\n64779 97165\n72430 100000\n36862 55190\n95331 100000\n90053 100000\n23682 35550\n88269 100000\n18887 28364\n91524 100000\n73304 100000\n80302 100000\n40204 60192\n7165 10800\n39049 58456\n47849 71647\n49418 74050\n81299 100000\n58883 88256\n40257 60269\n25283 37926\n35673 53405\n8668 13041\n62844 94253\n52489 78628\n9388 14122\n24051 36090\n26470 39706\n33092 49574\n11472 17279\n67103 100000\n47050 70441\n59119 88610\n70856 100000\n26343 39519\n64292 96435\n55035 82434\n72166 100000\n12789 19253\n54960 82325\n38815 58097\n7565 11402\n58987 88409\n18195 27316\n33085 49563\n57993 86921\n67772 100000\n14834 22314\n96199 100000\n71962 100000\n79344 100000\n28293 42422\n54761 82040\n86959 100000\n54539 81706\n95421 100000\n40106 60048\n63508 95238\n82694 100000\n43747 65493\n37818 56614\n13448 20241\n80907 100000\n89649 100000\n52515 78668\n64814 97222\n44111 66023\n30583 45833\n82425 100000\n55943 83815\n56988 85404\n31116 46611\n95823 100000\n47566 71219\n18521 27803\n11179 16845\n77179 100000\n27181 40746\n47141 70576\n87459 100000\n97971 100000\n68342 100000\n8061 12140\n18578 27887\n17388 26106\n1544 2309\n36556 54744\n30016 44971\n79117 100000\n29775 44613\n83944 100000\n62371 93534\n11450 17246\n69178 100000\n47951 71802\n39327 58865\n53044 79452\n77187 100000\n15658 23529\n18772 28179\n63437 95125\n62681 94008\n60020 89988\n18928 28425\n81692 100000\n69852 100000\n57206 85722\n5688 8579\n54633 81843\n58618 87848\n13763 20703\n96757 100000\n43584 65245\n72962 100000\n70793 100000\n28682 43001\n28273 42394\n80239 100000\n16793 25212\n41849 62687\n22051 33118\n32422 48555\n55918 83777\n94492 100000\n31340 46955\n84282 100000\n85767 100000\n43269 64792\n18891 28370\n31955 47872\n84118 100000\n59278 88857\n16886 25350\n1193 1786\n36894 55239\n80268 100000\n65305 97970\n85737 100000\n86774 100000\n92756 100000\n13748 20682\n6722 10151\n69630 100000\n66870 100000\n45100 67525\n19136 28748\n25527 38292\n97881 100000\n13120 19747\n99098 100000\n98992 100000\n11456 17256\n95656 100000\n49381 73988\n61015 91472\n33580 50307\n6436 9707\n60654 90942\n83185 100000\n799 1198\n26732 40079\n61491 92198\n52664 78883\n41021 61424\n22417 33672\n61931 92867\n67682 100000\n8362 12585\n75007 100000\n50868 76209\n45055 67454\n87397 100000\n20784 31227\n43550 65200\n848 1262\n46861 70147\n73115 100000\n87654 100000\n8071 12154\n39796 59565\n7653 11530\n58971 88385\n68656 100000\n17639 26487\n81676 100000\n98206 100000\n96672 100000\n40898 61242\n8201 12342\n76029 100000\n99859 100000\n3473 5243\n60008 89969\n16174 24293\n20715 31124\n97800 100000\n95104 100000\n65676 98507\n53049 79460\n73217 100000\n10578 15916\n43220 64717\n22872 34342\n91615 100000\n63046 94550\n95711 100000\n49733 74516\n40276 60298\n45537 68172\n20594 30943\n52430 78533\n30360 45491\n85865 100000\n17684 26561\n37639 56339\n14857 22351\n9050 13602\n4048 6106\n12068 18160\n20056 30130\n86620 100000\n746 1116\n89407 100000\n53572 80241\n80440 100000\n33992 50928\n48769 73058\n51945 77803\n6597 9959\n3020 4576\n51017 76436\n33605 50349\n2083 3150\n84271 100000\n36830 55143\n30950 46372\n2248 3402\n4879 7372\n38525 57674\n21269 31940\n87597 100000\n60588 90838\n74731 100000\n59690 89494\n32946 49359\n14564 21907\n95719 100000\n78098 100000\n66874 100000\n43734 65474\n50030 74964\n11839 17827\n87396 100000\n63034 94532\n5156 7788\n81110 100000\n68957 100000\n16802 25225\n68097 100000\n46760 70009\n3914 5895\n80035 100000\n94649 100000\n77095 100000\n51360 76957\n74184 100000\n76909 100000\n55910 83763\n54604 81798\n61374 92014\n17473 26233\n26438 39659\n2250 3406\n9569 14389\n76493 100000\n29448 44129\n64423 96630\n79856 100000\n92325 100000\n25991 38987\n9254 13923\n60168 90204\n61567 92318\n26355 39536\n93239 100000\n41677 62415\n74960 100000\n2652 4018\n18860 28322\n26387 39584\n16869 25324\n48517 72666\n7609 11463\n30710 46024\n80894 100000\n47628 71311\n31848 47709\n87778 100000\n70807 100000\n36988 55376\n71145 100000\n22857 34321\n7757 11682\n90867 100000\n27224 40813\n90261 100000\n71073 100000\n72781 100000\n90750 100000\n80550 100000\n35930 53786\n72100 100000\n9371 14097\n48063 71976\n82880 100000\n9054 13607\n92662 100000\n17761 26668\n57786 86606\n86105 100000\n62892 94326\n11293 17020\n34198 51240\n95766 100000\n55309 82854\n65929 98897\n67862 100000\n43577 65238\n21891 32877\n2112 3189\n89420 100000\n92555 100000\n61011 91465\n60060 90048\n35627 53338\n48841 73169\n43821 65595\n15720 23625\n7066 10656\n5057 7635\n92466 100000\n78507 100000\n11956 17990\n15407 23168\n99839 100000\n86602 100000\n99206 100000\n15264 22953\n74274 100000\n84681 100000\n73171 100000\n65463 98198\n42835 64143\n96023 100000\n86725 100000\n79679 100000\n15030 22613\n69350 100000\n7195 10847\n75504 100000\n68112 100000\n1069 1603\n99693 100000\n37320 55874\n69616 100000\n67373 100000\n8030 12094\n46979 70328\n5602 8445\n39350 58898\n39866 59679\n663 989\n53542 80196\n52828 79132\n96245 100000\n58659 87911\n90362 100000\n7126 10743\n3835 5778\n81401 100000\n70124 100000\n41888 62738\n84512 100000\n31669 47444\n12405 18673\n95634 100000\n89326 100000\n46398 69461\n72436 100000\n38356 57424\n83686 100000\n35317 52869\n81729 100000\n14148 21299\n31460 47127\n24041 36075\n79171 100000\n1023 1532\n74737 100000\n88610 100000\n83444 100000\n67928 100000\n64568 96847\n17734 26629\n47776 71531\n71440 100000\n29475 44168\n58009 86946\n52557 78732\n17042 25581\n36110 54059\n69553 100000\n95696 100000\n30750 46084\n65142 97723\n41776 62566\n86193 100000\n93759 100000\n60608 90868\n21588 32421\n77848 100000\n14114 21248\n38919 58255\n7090 10691\n68368 100000\n22549 33869\n70127 100000\n96773 100000\n84558 100000\n6525 9849\n74363 100000\n57504 86179\n98451 100000\n37364 55935\n4046 6102\n34464 51628\n37831 56629\n50392 75497\n37747 56504\n38563 57723\n63091 94616\n53316 79856\n44743 66995\n2720 4119\n33893 50775\n22616 33967\n53306 79843\n89305 100000\n48083 72007\n31322 46926\n51053 76489\n55233 82738\n92978 100000\n8242 12405\n78675 100000\n31277 46860\n81159 100000\n12908 19431\n72390 100000\n46751 69995\n51305 76870\n98010 100000\n38217 57211\n96188 100000\n88998 100000\n65103 97660\n74511 100000\n7579 11421\n66204 99301\n31764 47584\n37454 56068\n57635 86382\n8944 13451\n38357 57426\n50478 75621\n23817 35746\n43798 65563\n47654 71349\n45625 68306\n12340 18572\n28313 42451\n81722 100000\n37862 56672\n7777 11712\n90250 100000\n77354 100000\n89830 100000\n18941 28446\n57180 85684\n8664 13034\n72305 100000\n44429 66508\n48970 73360\n6172 9316\n7177 10819\n46992 70349\n93609 100000\n41034 61444\n98242 100000\n8133 12238\n78130 100000\n48659 72886\n90702 100000\n41518 62173\n82774 100000\n31382 47016\n27363 41029\n2228 3371\n35966 53840\n35646 53367\n74835 100000\n57889 86762\n53803 80598\n40223 60219\n97089 100000\n4093 6177\n44399 66465\n35852 53667\n21842 32805\n45821 68597\n95334 100000\n87130 100000\n27161 40717\n73621 100000\n90357 100000\n44380 66437\n19087 28671\n75347 100000\n11661 17562\n93947 100000\n65685 98520\n58199 87228\n68021 100000\n91443 100000\n21300 31984\n97149 100000\n67775 100000\n89712 100000\n3280 4959\n83582 100000\n13910 20927\n1265 1892\n7590 11435\n37956 56818\n7673 11556\n56144 84125\n84276 100000\n65775 98663\n90181 100000\n92877 100000\n83120 100000\n38308 57347\n19940 29963\n2048 3092\n85467 100000\n37318 55871\n82578 100000\n1375 2056\n25784 38687\n27225 40814\n72931 100000\n46697 69921\n2643 4007\n80717 100000\n1173 1759\n22954 34467\n81437 100000\n87095 100000\n94571 100000\n65982 98970\n25495 38245\n79511 100000\n92589 100000\n33676 50459\n9737 14640\n56104 84064\n71748 100000\n96502 100000\n65806 98708\n24403 36623\n15242 22920\n97889 100000\n74706 100000\n72138 100000\n64212 96315\n96397 100000\n72613 100000\n92891 100000\n46953 70289\n65572 98355\n15580 23417\n23736 35630\n3508 5295\n50670 75916\n32492 48660\n40798 61083\n21644 32508\n75549 100000\n55213 82706\n98904 100000\n70052 100000\n70306 100000\n50808 76123\n18898 28381\n76945 100000\n94253 100000\n89687 100000\n18609 27934\n14809 22278\n30119 45124\n69819 100000\n85863 100000\n55868 83703\n31013 46463\n92132 100000\n53743 80503\n39966 59829\n70584 100000\n23042 34600\n16591 24909\n71782 100000\n7832 11793\n52573 78753\n85980 100000\n11580 17439\n33102 49588\n55586 83277\n2436 3697\n7516 11328\n84697 100000\n67252 100000\n21237 31894\n86322 100000\n37038 55450\n54143 81111\n49908 74781\n7396 11141\n62248 93352\n64582 96867\n53677 80400\n19904 29906\n39561 59204\n77725 100000\n59754 89594\n77780 100000\n53134 79588\n12023 18090\n4247 6413\n99622 100000\n82833 100000\n78066 100000\n89807 100000\n21461 32232\n88224 100000\n33665 50446\n49975 74882\n13140 19778\n50073 75028\n57898 86778\n61831 92712\n12696 19110\n18999 28532\n8492 12773\n31327 46934\n28222 42320\n52241 78245\n66867 100000\n70294 100000\n5071 7660\n74720 100000\n90060 100000\n92475 100000\n72332 100000\n94411 100000\n43796 65560\n84630 100000\n32204 48235\n8634 12990\n89975 100000\n92794 100000\n68543 100000\n12689 19102\n48422 72526\n43724 65459\n74328 100000\n35279 52816\n36146 54116\n43862 65656\n44788 67062\n77100 100000\n64847 97271\n92727 100000\n4677 7065\n50314 75381\n18747 28140\n97998 100000\n72500 100000\n70106 100000\n92057 100000\n18312 27494\n45573 68229\n87165 100000\n79935 100000\n90533 100000\n14610 21973\n16845 25287\n54560 81737\n44857 67164\n54940 82300\n12617 18996\n3642 5490\n45514 68141\n20132 30242\n22927 34428\n68893 100000\n6496 9802\n32726 49023\n67413 100000\n35731 53488\n83551 100000\n92080 100000\n89449 100000\n63937 95899\n60446 90625\n85231 100000\n57906 86791\n77047 100000\n23788 35705\n82443 100000\n83341 100000\n81438 100000\n20364 30595\n84301 100000\n71015 100000\n24426 36661\n77075 100000\n66540 99809\n28876 43285\n29628 44401\n2369 3590\n16446 24696\n78738 100000\n80018 100000\n70175 100000\n59445 89119\n54054 80981\n25115 37679\n56415 84532\n53463 80081\n84127 100000\n88162 100000\n69555 100000\n59091 88568\n29792 44637\n95242 100000\n73888 100000\n1332 1989\n70154 100000\n89679 100000\n48413 72512\n59853 89737\n14124 21262\n30075 45060\n47842 71636\n85606 100000\n95182 100000\n63906 95854\n38476 57602\n39643 59326\n48387 72472\n96472 100000\n78276 100000\n86744 100000\n47798 71564\n2384 3615\n65096 97652\n91404 100000\n31344 46961\n69744 100000\n50027 74958\n90427 100000\n97616 100000\n50651 75887\n63551 95307\n27641 41441\n63432 95118\n80699 100000\n74879 100000\n18055 27108\n22295 33494\n55141 82597\n31486 47165\n72411 100000\n19599 29449\n51446 77083\n45733 68463\n36773 55066\n95243 100000\n71966 100000\n77393 100000\n83458 100000\n98305 100000\n48506 72648\n77688 100000\n79978 100000\n51640 77364\n38178 57152\n46164 69108\n34982 52380\n22267 33454\n92553 100000\n27815 41702\n9835 14795\n53818 80619\n70225 100000\n23882 35837\n97118 100000\n25919 38889\n73806 100000\n60204 90258\n99575 100000\n75875 100000\n75886 100000\n82090 100000\n51262 76805\n27274 40885\n10098 15194\n13294 20015\n90519 100000\n19908 29913\n35639 53356\n62194 93269\n36743 55022\n82103 100000\n47895 71719\n41826 62649\n56475 84621\n49263 73801\n13743 20675\n78947 100000\n33572 50293\n3757 5658\n95262 100000\n74638 100000\n69432 100000\n158 230\n32825 49177\n66485 99725\n11201 16878\n13315 20043\n16838 25275\n85494 100000\n61721 92545\n72856 100000\n12074 18169\n28017 42003\n34165 51191\n25653 38483\n54077 81016\n5464 8247\n29974 44904\n7919 11926\n99110 100000\n15389 23141\n20721 31133\n58031 86981\n53464 80082\n92311 100000\n52516 78670\n43424 65018\n19598 29448\n64490 96728\n27785 41655\n83803 100000\n95772 100000\n48785 73084\n12773 19229\n16070 24134\n57713 86504\n31516 47212\n49986 74898\n27674 41491\n84526 100000\n64742 97106\n33932 50832\n21937 32946\n26682 40008\n70202 100000\n81085 100000\n19022 28569\n17224 25852\n52443 78555\n15136 22763\n78824 100000\n15311 23017\n7587 11431\n4688 7080\n22563 33888\n66780 100000\n85693 100000\n58049 87007\n58290 87368\n42733 63992\n28527 42770\n33214 49759\n2227 3370\n71969 100000\n47339 70882\n91391 100000\n3799 5724\n44143 66075\n36682 54934\n13516 20336\n46115 69035\n1147 1721\n28277 42401\n76667 100000\n10322 15533\n87832 100000\n39945 59799\n86970 100000\n96660 100000\n13031 19615\n38148 57107\n4444 6708\n49362 73956\n72651 100000\n42882 64211\n69509 100000\n19288 28983\n46072 68969\n86803 100000\n1855 2800\n88106 100000\n39843 59644\n77806 100000\n45674 68378\n23555 35362\n25487 38235\n86432 100000\n14281 21490\n94912 100000\n8445 12705\n83937 100000\n42027 62934\n79371 100000\n82088 100000\n62281 93405\n71742 100000\n5013 7566\n23018 34562\n81910 100000\n42182 63173\n2390 3622\n77124 100000\n32826 49179\n35389 52977\n44529 66658\n18734 28118\n65804 98705\n1138 1707\n17453 26205\n85107 100000\n41275 61811\n6877 10388\n12476 18780\n124 178\n99781 100000\n94965 100000\n72948 100000\n27573 41342\n70665 100000\n4934 7452\n54218 81223\n44000 65855\n15894 23879\n6098 9200\n43492 65116\n53007 79394\n11673 17583\n6063 9153\n55044 82448\n49678 74432\n61108 91615\n46327 69360\n45109 67537\n16322 24511\n29489 44188\n40647 60859\n29321 43939\n73597 100000\n67526 100000\n94945 100000\n24832 37250\n7766 11695\n80272 100000\n50543 75725\n22249 33424\n11068 16671\n8740 13151\n32004 47947\n28026 42019\n26381 39576\n58280 87352\n95514 100000\n705 1053\n77629 100000\n96255 100000\n7787 11725\n41670 62405\n2839 4295\n74697 100000\n54074 81013\n18210 27341\n54738 82000\n34860 52199\n5988 9048\n8854 13320\n4596 6940\n56986 85401\n36828 55140\n42472 63608\n36567 54760\n85936 100000\n4374 6600\n62875 94302\n64656 96981\n24561 36855\n8294 12486\n68123 100000\n49459 74108\n35386 52972\n93992 100000\n76494 100000\n66554 99830\n93748 100000\n82086 100000\n33616 50369\n42189 63185\n10330 15545\n63553 95310\n27968 41925\n69070 100000\n58664 87920\n20222 30383\n56951 85346\n44030 65901\n42776 64055\n779 1165\n17111 25679\n98052 100000\n48017 71903\n71005 100000\n11041 16631\n62773 94148\n60604 90862\n51649 77376\n26258 39393\n63613 95404\n11864 17862\n20635 31000\n87958 100000\n93986 100000\n3198 4841\n78832 100000\n38403 57499\n1542 2306\n75903 100000\n41627 62336\n66124 99184\n57137 85620\n23658 35511\n78559 100000\n4173 6300\n39917 59757\n82599 100000\n15712 23612\n2259 3420\n14923 22450\n6268 9454\n79108 100000\n74105 100000\n68163 100000\n70828 100000\n88704 100000\n59238 88791\n64298 96445\n95358 100000\n35425 53034\n82537 100000\n76066 100000\n11156 16810\n70736 100000\n30883 46273\n37954 56814\n84172 100000\n28211 42304\n98577 100000\n59525 89241\n46896 70202\n44458 66552\n3921 5908\n47097 70510\n36468 54613\n42191 63188\n11422 17207\n1585 2375\n17028 25562\n60645 90929\n12184 18332\n45663 68363\n38800 58073\n58814 88152\n99312 100000\n42160 63135\n70407 100000\n92606 100000\n59424 89090\n35464 53090\n94510 100000\n70022 100000\n3679 5539\n3545 5349\n70240 100000\n30371 45507\n54765 82046\n78219 100000\n26883 40304\n74450 100000\n6109 9218\n23459 35215\n55305 82848\n50235 75263\n98774 100000\n78721 100000\n23218 34861\n17114 25684\n62185 93256\n61228 91798\n69194 100000\n76181 100000\n93407 100000\n46047 68932\n43949 65782\n87920 100000\n3932 5925\n11133 16770\n67545 100000\n31970 47897\n34325 51427\n36063 53990\n78864 100000\n55415 83020\n17001 25523\n92018 100000\n92666 100000\n46296 69316\n19201 28850\n16816 25246\n7478 11268\n24380 36593\n24933 37400\n16741 25123\n86121 100000\n15564 23394\n94166 100000\n80712 100000\n86568 100000\n52745 79003\n65851 98777\n67921 100000\n15354 23090\n42895 64228\n72270 100000\n91556 100000\n81001 100000\n27619 41407\n4679 7068\n49291 73841\n80413 100000\n40451 60564\n26940 40386\n5536 8355\n9640 14494\n72179 100000\n19006 28546\n87368 100000\n6462 9751\n96087 100000\n14995 22562\n3887 5853\n60469 90662\n66108 99162\n55420 83026\n69381 100000\n266 398\n57524 86213\n50291 75346\n98896 100000\n27275 40887\n99318 100000\n28288 42416\n78188 100000\n63193 94764\n68395 100000\n39022 58417\n97532 100000\n94256 100000\n13080 19686\n71549 100000\n49900 74769\n41816 62632\n78584 100000\n10853 16340\n29925 44838\n15074 22673\n16281 24455\n46221 69197\n96628 100000\n75257 100000\n77427 100000\n89905 100000\n90512 100000\n95922 100000\n83859 100000\n57696 86479\n88506 100000\n77536 100000\n76537 100000\n9219 13866\n93888 100000\n37977 56849\n1105 1658\n4271 6448\n26971 40432\n90235 100000\n247 371\n57704 86490\n65469 98206\n97930 100000\n22491 33782\n88203 100000\n67184 100000\n15041 22628\n48732 73002\n31363 46989\n18811 28242\n57310 85885\n44423 66501\n6359 9591\n10054 15125\n6693 10105\n21806 32748\n24861 37297\n12233 18410\n14893 22408\n52435 78541\n72866 100000\n66213 99316\n99521 100000\n44975 67338\n34155 51176\n81010 100000\n32277 48347\n19062 28630\n14308 21533\n23097 34680\n40081 60007\n92929 100000\n49395 74012\n36321 54385\n94642 100000\n45612 68286\n35154 52628\n60586 90835\n2916 4414\n95160 100000\n23371 35083\n87481 100000\n79629 100000\n45336 67869\n70436 100000\n70253 100000\n74403 100000\n79747 100000\n76559 100000\n5637 8497\n10701 16108\n34937 52316\n23408 35138\n54209 81208\n19905 29908\n78112 100000\n59138 88637\n84406 100000\n10925 16455\n12311 18530\n45405 67971\n71021 100000\n69237 100000\n64655 96979\n97024 100000\n25748 38628\n60456 90640\n75827 100000\n25584 38382\n9961 14984\n15590 23431\n71029 100000\n41293 61836\n79699 100000\n8481 12756\n55445 83065\n19350 29078\n14027 21110\n44990 67358\n96780 100000\n23836 35771\n78972 100000\n52502 78647\n17901 26875\n60485 90685\n17044 25584\n14956 22506\n77928 100000\n74977 100000\n55653 83378\n85549 100000\n30543 45769\n78643 100000\n98045 100000\n76847 100000\n87719 100000\n25513 38273\n38803 58076\n2754 4170\n97242 100000\n20494 30794\n36895 55241\n17292 25955\n66575 99864\n68221 100000\n43919 65737\n78993 100000\n64617 96923\n35053 52485\n64393 96584\n78491 100000\n79067 100000\n15825 23777\n28804 43174\n12448 18738\n99606 100000\n44184 66137\n20572 30910\n27409 41096\n77977 100000\n93581 100000\n79279 100000\n78187 100000\n37578 56252\n68608 100000\n94537 100000\n71496 100000\n95894 100000\n23534 35332\n81742 100000\n5798 8753\n82900 100000\n64398 96591\n75765 100000\n72094 100000\n24485 36748\n43280 64807\n12119 18234\n29381 44027\n21428 32181\n30374 45512\n12727 19154\n32341 48440\n92641 100000\n75228 100000\n36206 54211\n57902 86784\n51633 77354\n4573 6903\n90587 100000\n39949 59805\n39475 59078\n37504 56142\n51555 77244\n83933 100000\n8825 13277\n40931 61294\n48394 72480\n49692 74451\n90822 100000\n81504 100000\n57577 86300\n14070 21180\n85584 100000\n53924 80779\n69591 100000\n19878 29865\n86846 100000\n62669 93989\n14858 22353\n70035 100000\n57552 86259\n15958 23969\n674 1007\n7599 11447\n96711 100000\n85094 100000\n14820 22294\n38870 58186\n30484 45681\n81405 100000\n60428 90597\n6322 9539\n69771 100000\n39640 59321\n41930 62795\n77884 100000\n52683 78909\n66801 100000\n58786 88113\n82552 100000\n94923 100000\n49674 74426\n16085 24157\n43343 64899\n29280 43877\n14498 21808\n16324 24514\n55672 83407\n1494 2235\n65661 98484\n96558 100000\n69306 100000\n9780 14708\n70276 100000\n76912 100000\n8431 12684\n17795 26714\n74947 100000\n67079 100000\n53085 79515\n41881 62730\n78182 100000\n2552 3869\n43211 64701\n73703 100000\n21833 32791\n94595 100000\n78727 100000\n79697 100000\n93492 100000\n46640 69833\n28552 42809\n63778 95658\n3981 6000\n25650 38479\n93132 100000\n35936 53795\n13487 20295\n36710 54972\n10028 15085\n63917 95871\n93552 100000\n19981 30021\n3266 4938\n21510 32303\n54379 81461\n12813 19285\n42580 63764\n27557 41316\n26106 39162\n11718 17646\n49654 74395\n993 1489\n24914 37374\n88752 100000\n2569 3894\n48383 72466\n17353 26051\n96983 100000\n43663 65366\n90894 100000\n44695 66920\n18749 28142\n33086 49565\n23209 34848\n34628 51861\n87084 100000\n58507 87688\n98846 100000\n94788 100000\n54260 81285\n32021 47970\n90472 100000\n15586 23426\n68369 100000\n39064 58480\n89433 100000\n58780 88103\n69197 100000\n53752 80517\n45079 67490\n37758 56521\n18451 27698\n82791 100000\n55172 82643\n21733 32638\n22085 33170\n70148 100000\n81490 100000\n34767 52067\n50 71\n69166 100000\n97785 100000\n68046 100000\n33428 50082\n23688 35560\n37308 55856\n69121 100000\n77352 100000\n9872 14853\n70084 100000\n92580 100000\n34228 51288\n71231 100000\n33134 49632\n79561 100000\n99985 100000\n95078 100000\n82716 100000\n35353 52926\n33789 50620\n91782 100000\n37552 56214\n86579 100000\n73257 100000\n13940 20969\n61858 92753\n47927 71764\n72843 100000\n55740 83510\n72260 100000\n46970 70314\n61971 92937\n57020 85453\n24829 37245\n28446 42648\n89144 100000\n89158 100000\n47313 70845\n32823 49173\n26610 39902\n8628 12981\n59118 88608\n7731 11644\n74600 100000\n62122 93163\n81710 100000\n5749 8668\n58264 87329\n93988 100000\n81684 100000\n26951 40402\n45072 67478\n21546 32360\n50183 75184\n93364 100000\n32651 48904\n69928 100000\n30768 46104\n40323 60366\n60928 91336\n27794 41670\n55223 82722\n20410 30668\n21900 32888\n96887 100000\n3247 4909\n53694 80425\n20456 30742\n18920 28415\n16043 24090\n24791 37191\n59755 89596\n33167 49681\n53334 79883\n93741 100000\n23237 34886\n89652 100000\n50972 76368\n75185 100000\n64431 96642\n68357 100000\n12929 19463\n22090 33178\n75274 100000\n88050 100000\n70189 100000\n87132 100000\n83737 100000\n86379 100000\n97778 100000\n57015 85446\n10125 15236\n21656 32526\n64722 97078\n41146 61614\n74441 100000\n41350 61919\n87629 100000\n80112 100000\n59382 89022\n32427 48562\n653 974\n50717 75987\n38753 57998\n69899 100000\n51749 77521\n66052 99072\n84998 100000\n98453 100000\n8410 12655\n4746 7169\n38694 57912\n20599 30949\n81020 100000\n66854 100000\n61095 91598\n6937 10474\n55400 82995\n34857 52194\n14167 21329\n22823 34271\n87340 100000\n21576 32403\n21101 31698\n31368 46998\n53848 80663\n11341 17091\n11478 17287\n59219 88763\n83164 100000\n82857 100000\n42104 63051\n82148 100000\n31935 47842\n66127 99189\n83381 100000\n55247 82759\n72438 100000\n95720 100000\n48842 73170\n38509 57654\n24449 36698\n16064 24123\n17692 26571\n15499 23299\n89411 100000\n30094 45085\n10514 15819\n12846 19337\n81309 100000\n27495 41226\n56532 84711\n72446 100000\n37987 56864\n45251 67744\n6080 9176\n32734 49034\n62042 93041\n40672 60897\n50856 76194\n82256 100000\n47926 71763\n67113 100000\n1441 2154\n6160 9301\n24932 37398\n25032 37555\n93656 100000\n75680 100000\n98566 100000\n4750 7175\n73001 100000\n55124 82574\n93580 100000\n17511 26292\n8978 13505\n19829 29786\n20815 31274\n90759 100000\n25145 37721\n86864 100000\n50984 76385\n18892 28371\n51625 77342\n58661 87914\n32856 49220\n76063 100000\n30127 45137\n59017 88451\n80506 100000\n272 407\n29384 44031\n55361 82935\n57558 86267\n79532 100000\n64759 97131\n79982 100000\n82545 100000\n54034 80949\n61407 92067\n46745 69988\n85982 100000\n69075 100000\n64450 96667\n35083 52528\n33561 50278\n75249 100000\n61509 92225\n19019 28566\n31828 47682\n37640 56341\n31537 47242\n12108 18217\n20770 31207\n97786 100000\n7353 11077\n85754 100000\n20148 30268\n30530 45750\n96051 100000\n66459 99682\n85156 100000\n25691 38542\n97828 100000\n63435 95123\n57576 86298\n66541 99810\n89474 100000\n32924 49328\n33638 50403\n58573 87785\n91677 100000\n62929 94381\n39597 59258\n25101 37657\n43392 64970\n47770 71521\n78315 100000\n2400 3640\n20392 30642\n29566 44305\n19703 29596\n11943 17969\n67840 100000\n4219 6369\n94822 100000\n78027 100000\n73286 100000\n24638 36975\n12891 19404\n23117 34708\n11574 17430\n32351 48452\n90840 100000\n434 648\n79683 100000\n200 297\n38673 57876\n3706 5581\n61712 92533\n99885 100000\n1199 1795\n91348 100000\n16939 25430\n192 284\n99821 100000\n98356 100000\n20208 30363\n16907 25381\n8697 13082\n91370 100000\n42467 63601\n87061 100000\n99569 100000\n8124 12227\n14275 21481\n19665 29544\n46208 69174\n65109 97670\n22656 34022\n17024 25555\n67494 100000\n51569 77265\n56306 84364\n23500 35277\n12188 18340\n89613 100000\n48713 72971\n52994 79376\n50580 75783\n88574 100000\n51539 77223\n55590 83283\n44424 66503\n34910 52276\n77987 100000\n24746 37129\n50711 75978\n26650 39957\n44554 66695\n56473 84618\n53656 80369\n16962 25460\n12191 18345\n83095 100000\n12986 19549\n59344 88959\n37224 55730\n89846 100000\n56819 85150\n68022 100000\n26734 40082\n45745 68482\n85930 100000\n94204 100000\n61192 91743\n97877 100000\n44752 67008\n47427 71014\n19129 28736\n94871 100000\n99402 100000\n78100 100000\n72204 100000\n51577 77275\n77103 100000\n19810 29756\n6373 9614\n23035 34591\n98026 100000\n32288 48362\n42139 63103\n22142 33258\n25318 37977\n44165 66108\n97445 100000\n10091 15184\n87072 100000\n50665 75910\n14045 21139\n75203 100000\n16130 24223\n79422 100000\n1705 2560\n31239 46807\n47346 70892\n16728 25102\n79641 100000\n14726 22153\n85140 100000\n82873 100000\n10773 16220\n58319 87412\n68242 100000\n33955 50870\n43360 64923\n31293 46884\n6764 10218\n10602 15955\n93299 100000\n7850 11819\n7319 11026\n37671 56391\n30483 45679\n31383 47018\n68917 100000\n70017 100000\n97924 100000\n7331 11044\n90108 100000\n48255 72268\n33104 49591\n37131 55594\n88693 100000\n14303 21523\n37443 56050\n82493 100000\n97595 100000\n92637 100000\n77716 100000\n78703 100000\n45988 68847\n29819 44680\n480 716\n85371 100000\n40501 60639\n67627 100000\n44245 66232\n73032 100000\n54859 82180\n96879 100000\n95829 100000\n73527 100000\n80953 100000\n36338 54412\n67762 100000\n3559 5370\n70030 100000\n36057 53981\n5556 8380\n19573 29406\n72907 100000\n28240 42347\n56365 84454\n89277 100000\n20300 30494\n9406 14142\n38419 57520\n84470 100000\n64209 96311\n68685 100000\n35314 52866\n36664 54910\n51912 77758\n42461 63591\n46067 68961\n22116 33220\n32901 49294\n63688 95520\n11581 17441\n74390 100000\n12897 19412\n34012 50955\n30673 45975\n54637 81848\n61377 92019\n5759 8687\n97479 100000\n68224 100000\n24406 36629\n20545 30870\n61065 91551\n92631 100000\n73354 100000\n67270 100000\n95968 100000\n18925 28421\n52735 78989\n83384 100000\n38587 57761\n69566 100000\n84467 100000\n41205 61705\n67138 100000\n9278 13955\n46474 69580\n8772 13196\n21027 31581\n63070 94583\n76819 100000\n22519 33823\n52893 79228\n87198 100000\n78040 100000\n80665 100000\n12577 18937\n19274 28963\n84833 100000\n94110 100000\n13327 20059\n11494 17312\n29024 43504\n74690 100000\n5478 8267\n53145 79602\n27072 40584\n2425 3679\n40760 61022\n62705 94045\n16150 24252\n82353 100000\n80180 100000\n73831 100000\n45693 68406\n85887 100000\n64103 96145\n6058 9146\n60402 90560\n29563 44301\n32473 48633\n1286 1925\n70156 100000\n45476 68083\n62518 93763\n71486 100000\n68965 100000\n66542 99812\n38897 58222\n23985 35995\n36264 54297\n85723 100000\n72807 100000\n32043 47997\n7300 10998\n24107 36174\n89029 100000\n80806 100000\n35620 53331\n82452 100000\n91925 100000\n3326 5030\n8289 12477\n4389 6624\n96229 100000\n42772 64049\n78965 100000\n59861 89750\n38279 57302\n69700 100000\n6383 9631\n75518 100000\n82592 100000\n38934 58277\n25588 38388\n36220 54231\n63947 95913\n44729 66972\n7238 10910\n1107 1661\n3337 5046\n62944 94404\n53941 80803\n99235 100000\n93148 100000\n22002 33040\n13798 20750\n84114 100000\n8394 12631\n20481 30775\n58990 88413\n40171 60146\n3448 5208\n91002 100000\n56919 85297\n68023 100000\n38296 57329\n79187 100000\n37897 56727\n1944 2937\n69223 100000\n69183 100000\n66036 99048\n1861 2808\n69312 100000\n47880 71695\n93254 100000\n66296 99440\n53735 80489\n53744 80505\n14794 22256\n36407 54517\n61775 92631\n88379 100000\n7723 11632\n81685 100000\n14910 22430\n30239 45311\n32855 49219\n85979 100000\n82012 100000\n94280 100000\n5476 8265\n12484 18794\n193 286\n71160 100000\n92296 100000\n13285 20000\n86798 100000\n15085 22689\n80299 100000\n33731 50533\n17970 26978\n72939 100000\n66049 99068\n4039 6091\n49532 74216\n21207 31851\n44056 65939\n90000 100000\n80086 100000\n10638 16010\n93393 100000\n67834 100000\n83203 100000\n31701 47496\n34061 51031\n21460 32230\n37784 56565\n83359 100000\n87713 100000\n61792 92655\n53068 79493\n13164 19815\n81626 100000\n84274 100000\n7988 12035\n8972 13496\n78163 100000\n94428 100000\n51293 76853\n21685 32567\n18071 27132\n32220 48260\n49537 74223\n45594 68260\n91715 100000\n65165 97762\n15678 23560\n62320 93461\n84908 100000\n32152 48157\n17106 25674\n2555 3873\n8764 13185\n8372 12599\n97467 100000\n46905 70218\n17759 26664\n34876 52227\n16643 24977\n51175 76676\n31603 47344\n49767 74564\n23627 35468\n52967 79336\n37464 56085\n44004 65861\n28403 42585\n96439 100000\n3336 5044\n62203 93282\n44269 66268\n63397 95071\n6320 9536\n47664 71363\n34729 52010\n76965 100000\n22169 33298\n35715 53465\n12792 19257\n4282 6465\n1324 1978\n33590 50322\n3199 4843\n14348 21592\n43336 64890\n40565 60737\n54144 81112\n56226 84248\n19989 30034\n98125 100000\n47604 71277\n62075 93087\n17179 25785\n51635 77356\n95856 100000\n96577 100000\n92970 100000\n71328 100000\n6231 9400\n32067 48034\n88532 100000\n99640 100000\n20255 30434\n45706 68423\n83536 100000\n54762 82041\n9687 14567\n43102 64540\n56401 84510\n77984 100000\n34321 51420\n44344 66381\n94530 100000\n34573 51780\n47288 70804\n51828 77639\n72872 100000\n99440 100000\n67168 100000\n57125 85602\n3494 5275\n34274 51353\n7449 11223\n4140 6247\n14906 22424\n5032 7594\n69453 100000\n81268 100000\n61147 91675\n12969 19524\n98405 100000\n84489 100000\n78716 100000\n27678 41496\n38806 58081\n73183 100000\n84791 100000\n66775 100000\n26481 39722\n27820 41709\n12049 18132\n70687 100000\n98299 100000\n21311 32001\n79121 100000\n76129 100000\n64891 97340\n28931 43367\n88614 100000\n5008 7558\n14769 22217\n59180 88700\n28179 42259\n31703 47498\n13701 20617\n72368 100000\n47695 71411\n64274 96409\n40162 60131\n63270 94884\n15662 23535\n56500 84658\n42079 63017\n76377 100000\n63853 95777\n57548 86252\n4128 6229\n90916 100000\n5046 7616\n1777 2676\n63554 95312\n38902 58229\n20566 30902\n39399 58973\n75844 100000\n56566 84763\n51923 77773\n98353 100000\n62993 94473\n1296 1939\n23385 35104\n12584 18946\n91179 100000\n84224 100000\n89358 100000\n55667 83398\n97586 100000\n72124 100000\n74941 100000\n4182 6317\n11055 16654\n25593 38395\n67995 100000\n49514 74192\n62328 93470\n93144 100000\n26566 39842\n80604 100000\n25461 38198\n84699 100000\n24298 36460\n67784 100000\n70788 100000\n34614 51841\n96384 100000\n47299 70821\n99997 100000\n9026 13570\n28855 43255\n15094 22704\n97275 100000\n14532 21860\n28395 42573\n49685 74441\n72699 100000\n70532 100000\n15478 23268\n23797 35717\n24265 36412\n77091 100000\n73158 100000\n31688 47476\n83701 100000\n74343 100000\n49626 74352\n46127 69052\n84101 100000\n85323 100000\n71114 100000\n2372 3594\n10715 16129\n38695 57914\n46313 69339\n27899 41823\n69574 100000\n99033 100000\n18047 27095\n97288 100000\n88557 100000\n60460 90648\n91596 100000\n88052 100000\n84756 100000\n27818 41706\n38376 57458\n58391 87518\n81233 100000\n72198 100000\n30521 45735\n41261 61791\n42321 63381\n17219 25844\n53459 80074\n50205 75217\n645 961\n26389 39587\n51402 77016\n44139 66069\n95980 100000\n86475 100000\n86443 100000\n41847 62683\n74468 100000\n73913 100000\n73068 100000\n58790 88117\n71241 100000\n58928 88319\n4910 7417\n22040 33099\n75066 100000\n51002 76412\n34948 52332\n51298 76862\n40811 61103\n95226 100000\n71192 100000\n79836 100000\n78205 100000\n66009 99010\n74414 100000\n90030 100000\n31036 46494\n89459 100000\n19040 28596\n20650 31026\n21198 31838\n4031 6079\n28144 42203\n83772 100000\n64304 96455\n28701 43026\n24532 36813\n7082 10679\n1875 2831\n82564 100000\n60181 90223\n93613 100000\n13757 20695\n59067 88530\n66195 99287\n48836 73160\n81507 100000\n7183 10829\n37237 55754\n74517 100000\n27826 41720\n83687 100000\n48978 73372\n93427 100000\n34710 51978\n93404 100000\n43040 64443\n62098 93126\n80672 100000\n43283 64811\n97658 100000\n64526 96784\n39238 58733\n13467 20265\n30014 44967\n91763 100000\n49058 73490\n1722 2588\n75826 100000\n24627 36959\n92515 100000\n60619 90887\n652 973\n52639 78845\n31892 47778\n63814 95719\n80207 100000\n38965 58325\n29106 43627\n99608 100000\n97734 100000\n15414 23178\n92833 100000\n63764 95638\n21741 32649\n5246 7920\n66608 99910\n42529 63690\n67082 100000\n41796 62599\n36557 54745\n84407 100000\n87848 100000\n12257 18451\n2099 3172\n88057 100000\n77375 100000\n56169 84162\n67718 100000\n53673 80394\n43101 64538\n887 1318\n95870 100000\n30297 45403\n10560 15889\n84377 100000\n11035 16623\n51475 77126\n69212 100000\n46074 68972\n45904 68724\n40832 61135\n78820 100000\n41623 62331\n70612 100000\n30796 46149\n31959 47878\n31301 46895\n59151 88657\n36196 54194\n44169 66115\n73361 100000\n15553 23377\n83718 100000\n44391 66454\n30609 45874\n5033 7595\n74993 100000\n25054 37589\n55999 83903\n65098 97655\n36852 55175\n10049 15119\n95525 100000\n91311 100000\n93643 100000\n6417 9678\n99117 100000\n5925 8951\n62337 93483\n57530 86222\n38159 57122\n45026 67408\n92134 100000\n99598 100000\n7964 11998\n4037 6087\n22118 33223\n8224 12375\n19038 28592\n89808 100000\n60413 90574\n91422 100000\n48328 72379\n16858 25309\n80748 100000\n17732 26627\n12168 18308\n74326 100000\n27231 40824\n45858 68657\n12291 18500\n82267 100000\n70029 100000\n28849 43245\n53215 79701\n38253 57265\n64807 97211\n24749 37133\n30256 45336\n33673 50456\n29265 43854\n87375 100000\n58445 87596\n81901 100000\n18265 27422\n65706 98553\n98579 100000\n51453 77096\n69678 100000\n58055 87017\n7703 11601\n89557 100000\n7808 11759\n64095 96134\n97393 100000\n86960 100000\n20744 31170\n71400 100000\n68724 100000\n36989 55377\n52218 78211\n80942 100000\n73952 100000\n74716 100000\n5782 8725\n53135 79589\n51436 77066\n54693 81936\n28100 42138\n7278 10966\n87764 100000\n96695 100000\n6074 9169\n46858 70143\n2033 3069\n41479 62119\n40087 60018\n80130 100000\n87530 100000\n27744 41591\n93793 100000\n46850 70133\n9706 14594\n68979 100000\n25400 38100\n43553 65204\n80040 100000\n69990 100000\n18576 27885\n99694 100000\n11845 17834\n53481 80106\n22562 33887\n84428 100000\n18293 27466\n29259 43844\n30370 45505\n75973 100000\n29526 44239\n73306 100000\n31730 47536\n63059 94567\n12450 18742\n65857 98784\n84175 100000\n89948 100000\n41875 62720\n32585 48802\n84078 100000\n20823 31285\n30727 46050\n2886 4365\n39192 58668\n62027 93020\n98704 100000\n13777 20723\n68867 100000\n72360 100000\n51879 77709\n31273 46856\n23513 35299\n42294 63341\n70957 100000\n67663 100000\n45313 67834\n52128 78074\n74416 100000\n13549 20390\n16664 25008\n25006 37514\n89116 100000\n85463 100000\n10157 15282\n57143 85627\n82477 100000\n86728 100000\n8194 12332\n40424 60522\n79573 100000\n15098 22709\n25881 38834\n23471 35233\n86068 100000\n33923 50821\n96787 100000\n57076 85534\n79640 100000\n87205 100000\n76572 100000\n26022 39036\n14942 22482\n53212 79697\n34661 51906\n23888 35845\n35321 52876\n17439 26184\n5000 7547\n62237 93336\n74794 100000\n46523 69660\n53748 80511\n70818 100000\n21378 32106\n88393 100000\n29051 43547\n2024 3052\n87134 100000\n38301 57336\n37371 55945\n16172 24289\n28007 41985\n14497 21806\n81610 100000\n28645 42946\n65994 98990\n2362 3579\n48761 73046\n79325 100000\n8858 13327\n3029 4592\n8833 13287\n79262 100000\n43166 64633\n32990 49421\n50705 75969\n35401 52996\n13043 19632\n77009 100000\n30811 46170\n88661 100000\n59751 89589\n64489 96726\n95161 100000\n12581 18942\n7764 11691\n76306 100000\n50642 75874\n88710 100000\n78685 100000\n63282 94903\n18315 27499\n40658 60875\n77053 100000\n12688 19100\n52069 77989\n1486 2223\n71512 100000\n67616 100000\n57120 85595\n79036 100000\n22263 33447\n98520 100000\n81860 100000\n41982 62871\n25131 37701\n98672 100000\n95701 100000\n32899 49292\n420 629\n29222 43789\n3865 5824\n82077 100000\n28867 43273\n59612 89376\n41709 62463\n9444 14201\n4935 7454\n74017 100000\n96907 100000\n53659 80372\n85902 100000\n71823 100000\n51679 77421\n25724 38594\n43721 65454\n41745 62515\n86967 100000\n36199 54199\n13784 20732\n83998 100000\n40862 61183\n83697 100000\n29923 44835\n61777 92635\n12901 19419\n63398 95072\n91264 100000\n94197 100000\n80420 100000\n25537 38306\n98150 100000\n61903 92823\n37466 56088\n65354 98042\n83609 100000\n42741 64002\n32615 48853\n79282 100000\n97811 100000\n10547 15870\n93271 100000\n24448 36696\n12369 18621\n88015 100000\n87679 100000\n52740 78996\n83705 100000\n22339 33553\n4758 7187\n21909 32902\n32037 47991\n7161 10794\n28196 42282\n79888 100000\n16658 24998\n8466 12735\n42778 64058\n16182 24306\n69731 100000\n3648 5498\n71242 100000\n61759 92605\n92365 100000\n42475 63612\n10277 15466\n24205 36322\n39960 59821\n39079 58499\n59818 89682\n3836 5780\n21122 31727\n76073 100000\n24497 36764\n32802 49140\n37682 56408\n91079 100000\n11180 16847\n27031 40522\n62729 94087\n28187 42271\n69287 100000\n68257 100000\n33577 50301\n82035 100000\n22452 33726\n23059 34625\n90059 100000\n92568 100000\n47757 71503\n73718 100000\n80354 100000\n38300 57335\n71183 100000\n5777 8717\n46505 69631\n13616 20492\n45588 68252\n87327 100000\n92003 100000\n2025 3054\n63706 95545\n43594 65260\n89614 100000\n72911 100000\n52890 79223\n98494 100000\n71453 100000\n39024 58419\n26107 39164\n61856 92750\n77131 100000\n82723 100000\n18366 27575\n85926 100000\n52978 79351\n86331 100000\n3000 4546\n87575 100000\n43956 65793\n86601 100000\n86354 100000\n29676 44460\n79378 100000\n79013 100000\n97161 100000\n48438 72550\n96042 100000\n52448 78562\n52700 78932\n81866 100000\n29814 44673\n60688 90992\n82361 100000\n70117 100000\n2634 3991\n53608 80298\n83267 100000\n87384 100000\n31323 46927\n4854 7330\n60203 90256\n42115 63070\n61628 92406\n42351 63426\n24480 36742\n65537 98306\n3810 5741\n12094 18198\n68365 100000\n96554 100000\n11919 17937\n75674 100000\n26759 40120\n5740 8654\n68785 100000\n81803 100000\n8758 13176\n69017 100000\n49348 73932\n233 349\n7893 11887\n39920 59761\n81601 100000\n62519 93764\n57072 85529\n63726 95579\n97843 100000\n61127 91645\n89189 100000\n46005 68872\n38497 57636\n19894 29889\n82502 100000\n38911 58243\n26036 39059\n93806 100000\n12423 18699\n17609 26438\n12024 18092\n60863 91242\n99508 100000\n37737 56489\n81707 100000\n36309 54368\n87693 100000\n17615 26446\n82639 100000\n9059 13614\n11172 16836\n92192 100000\n15944 23950\n62948 94408\n14947 22491\n4923 7435\n7001 10572\n18427 27660\n63 90\n19910 29916\n51504 77174\n86347 100000\n49307 73868\n75610 100000\n50440 75562\n1302 1948\n57193 85702\n1198 1793\n36824 55135\n17596 26417\n97308 100000\n50575 75775\n60566 90805\n99907 100000\n13644 20537\n20318 30524\n48311 72353\n30025 44985\n49158 73645\n41163 61639\n6849 10347\n85570 100000\n77985 100000\n83170 100000\n72304 100000\n68477 100000\n57865 86726\n38889 58210\n26690 40023\n25470 38212\n90476 100000\n47529 71165\n83182 100000\n25612 38423\n54520 81679\n26245 39377\n48223 72216\n45755 68498\n79362 100000\n79695 100000\n20394 30645\n78088 100000\n86248 100000\n68568 100000\n73986 100000\n71723 100000\n33028 49478\n45870 68676\n74648 100000\n49643 74379\n27727 41565\n90743 100000\n56127 84098\n22446 33717\n2618 3969\n82743 100000\n61901 92819\n53714 80458\n98674 100000\n39764 59511\n78659 100000\n63354 95006\n53886 80720\n39480 59087\n70680 100000\n78807 100000\n99842 100000\n38616 57802\n90669 100000\n64011 96004\n89799 100000\n50762 76056\n73787 100000\n71545 100000\n24003 36021\n7404 11152\n27725 41563\n47156 70599\n98500 100000\n43851 65642\n87213 100000\n53578 80251\n64117 96167\n20514 30821\n12471 18773\n93596 100000\n72456 100000\n57767 86581\n45900 68717\n50203 75214\n94708 100000\n18885 28361\n32143 48145\n29144 43682\n84162 100000\n83385 100000\n18218 27352\n62097 93124\n47351 70902\n3676 5535\n10015 15066\n60094 90098\n34373 51499\n82199 100000\n19079 28655\n41242 61766\n96874 100000\n18843 28292\n76718 100000\n24294 36455\n66538 99806\n21956 32976\n7287 10977\n34580 51790\n29730 44545\n36579 54778\n37951 56810\n94646 100000\n97437 100000\n31345 46962\n7660 11540\n86245 100000\n97657 100000\n73323 100000\n3455 5216\n53934 80794\n5608 8453\n9433 14184\n58136 87138\n82855 100000\n99268 100000\n44495 66608\n44612 66786\n59865 89757\n19581 29418\n3658 5510\n21351 32063\n95653 100000\n4221 6373\n14519 21842\n50632 75858\n56398 84504\n33224 49773\n50599 75808\n214 319\n49197 73705\n16705 25073\n88792 100000\n34469 51636\n37695 56426\n50282 75333\n78499 100000\n37741 56495\n19429 29197\n72105 100000\n84648 100000\n85856 100000\n40733 60983\n54112 81069\n44330 66359\n84995 100000\n77418 100000\n32208 48241\n82638 100000\n13401 20175\n79658 100000\n25704 38562\n16614 24939\n63049 94554\n47507 71132\n53671 80392\n96776 100000\n82911 100000\n82504 100000\n98341 100000\n38246 57254\n40428 60527\n40270 60290\n41507 62155\n99419 100000\n78915 100000\n92092 100000\n10902 16419\n55938 83808\n59134 88633\n15001 22570\n93074 100000\n574 861\n36115 54067\n53452 80063\n68095 100000\n2406 3649\n87819 100000\n49653 74393\n48565 72742\n60421 90587\n75556 100000\n77850 100000\n74853 100000\n24648 36986\n60842 91216\n50818 76137\n90773 100000\n60616 90883\n98905 100000\n20981 31518\n35909 53754\n44220 66194\n65840 98758\n7869 11850\n42192 63189\n65639 98455\n87896 100000\n80275 100000\n29187 43736\n36178 54165\n53697 80429\n96102 100000\n85567 100000\n48643 72863\n37271 55802\n83286 100000\n83683 100000\n51833 77648\n4375 6601\n78297 100000\n59741 89572\n3698 5571\n69463 100000\n81785 100000\n28170 42245\n82459 100000\n84579 100000\n7811 11764\n44823 67110\n81477 100000\n30085 45074\n94177 100000\n6066 9158\n85617 100000\n31042 46501\n18066 27123\n85817 100000\n25335 38004\n29851 44727\n74738 100000\n66974 100000\n6293 9491\n62437 93642\n19938 29959\n22556 33879\n43802 65568\n77558 100000\n93869 100000\n16341 24537\n20299 30492\n35579 53273\n92707 100000\n70383 100000\n53087 79519\n7436 11203\n79647 100000\n68849 100000\n82308 100000\n58726 88016\n40224 60220\n72148 100000\n68722 100000\n98276 100000\n94146 100000\n56430 84557\n7508 11313\n40197 60181\n17746 26647\n64625 96932\n25849 38788\n31952 47868\n21821 32775\n274 409\n42098 63044\n32665 48926\n86423 100000\n15231 22902\n29295 43903\n31630 47386\n90135 100000\n93647 100000\n55875 83714\n58217 87255\n54654 81875\n60284 90378\n29892 44789\n57094 85557\n21403 32143\n68888 100000\n33127 49622\n77273 100000\n60263 90346\n46234 69221\n3181 4815\n80941 100000\n83532 100000\n87137 100000\n49079 73524\n41066 61489\n64412 96613\n87757 100000\n69448 100000\n22211 33367\n59608 89370\n99738 100000\n15112 22728\n9459 14224\n76795 100000\n69607 100000\n34555 51755\n28981 43441\n84750 100000\n73094 100000\n13548 20388\n86419 100000\n50191 75196\n35916 53763\n35291 52831\n27602 41383\n90039 100000\n38417 57518\n81180 100000\n18648 27993\n38174 57148\n42738 63998\n54297 81342\n98792 100000\n51468 77116\n41602 62300\n34940 52320\n80789 100000\n24354 36552\n44552 66692\n65653 98472\n44701 66930\n46680 69893\n99367 100000\n81789 100000\n8871 13344\n47400 70975\n36075 54007\n28570 42837\n19169 28802\n6616 9985\n77433 100000\n63835 95750\n98832 100000\n31551 47263\n52056 77968\n72155 100000\n3415 5158\n65036 97560\n4165 6287\n34202 51247\n49020 73432\n80524 100000\n77121 100000\n69716 100000\n33049 49513\n78917 100000\n62441 93649\n15121 22740\n38979 58348\n55159 82626\n16767 25168\n15965 23978\n28737 43079\n77443 100000\n72348 100000\n12297 18509\n10068 15146\n45981 68838\n71936 100000\n43913 65730\n6612 9978\n63002 94486\n63572 95338\n13260 19962\n35796 53580\n61891 92805\n68375 100000\n26372 39562\n25276 37917\n73342 100000\n52810 79105\n64799 97197\n75851 100000\n97153 100000\n89366 100000\n22746 34159\n21794 32728\n67779 100000\n56126 84097\n39780 59536\n14851 22342\n17659 26522\n11317 17057\n93322 100000\n19850 29820\n84164 100000\n47514 71142\n40455 60570\n54943 82304\n49519 74200\n86261 100000\n73075 100000\n23344 35042\n2633 3990\n64790 97182\n44207 66173\n11648 17543\n42553 63726\n3619 5458\n56287 84335\n3129 4736\n48710 72965\n80964 100000\n16537 24834\n44259 66253\n62957 94424\n82116 100000\n30136 45153\n30898 46295\n36088 54027\n11611 17484\n54522 81681\n17464 26222\n98426 100000\n11003 16566\n13309 20036\n493 734\n72707 100000\n11789 17755\n30208 45261\n50548 75732\n87032 100000\n22682 34062\n66341 99512\n38633 57824\n84165 100000\n52950 79312\n57845 86693\n88825 100000\n59899 89808\n41834 62663\n97485 100000\n75582 100000\n5231 7895\n18500 27771\n92788 100000\n27703 41531\n18889 28367\n46542 69690\n62302 93438\n83963 100000\n1062 1593\n73749 100000\n53568 80237\n79916 100000\n93645 100000\n13521 20344\n79363 100000\n9924 14929\n54321 81374\n61020 91480\n71662 100000\n7112 10721\n45985 68843\n97895 100000\n30414 45579\n77133 100000\n68781 100000\n85544 100000\n37385 55963\n18647 27991\n96518 100000\n26121 39186\n13255 19956\n52908 79254\n65298 97959\n96637 100000\n41458 62083\n73351 100000\n65148 97734\n85338 100000\n3177 4810\n18797 28218\n25404 38106\n97229 100000\n6519 9841\n17301 25968\n43968 65810\n1059 1589\n49037 73458\n32674 48939\n7135 10755\n43169 64637\n93838 100000\n81429 100000\n99528 100000\n2708 4102\n57210 85727\n28462 42672\n4254 6425\n1165 1749\n9830 14787\n7401 11148\n71267 100000\n79347 100000\n43324 64870\n76578 100000\n17683 26560\n67190 100000\n80297 100000\n37329 55888\n63116 94655\n71909 100000\n46137 69067\n76738 100000\n12882 19390\n1604 2402\n63462 95167\n61230 91801\n74509 100000\n20346 30567\n77950 100000\n44574 66726\n16493 24769\n31938 47847\n72984 100000\n7208 10866\n33340 49945\n61606 92374\n56451 84584\n58592 87810\n97675 100000\n81382 100000\n52230 78229\n30717 46035\n24139 36225\n24528 36808\n12195 18353\n29436 44112\n26901 40331\n8208 12353\n38564 57724\n51205 76721\n53606 80295\n2457 3726\n87047 100000\n3601 5430\n39990 59865\n6236 9407\n11378 17142\n85804 100000\n22863 34330\n24110 36179\n85117 100000\n77840 100000\n55384 82968\n58172 87193\n75077 100000\n24721 37096\n64971 97463\n56583 84788\n47194 70661\n63438 95127\n54923 82275\n56654 84902\n740 1105\n66674 100000\n83507 100000\n87221 100000\n30703 46015\n79090 100000\n65126 97697\n89185 100000\n91231 100000\n19493 29292\n8598 12939\n59339 88950\n63510 95242\n97845 100000\n79101 100000\n56694 84962\n75729 100000\n66456 99677\n26476 39714\n34047 51009\n64188 96278\n27799 41678\n95915 100000\n38488 57623\n53324 79869\n32902 49295\n22389 33631\n14971 22524\n48933 73304\n36728 55001\n69756 100000\n27015 40498\n24663 37009\n32018 47966\n98081 100000\n15306 23010\n42039 62954\n58495 87668\n21570 32394\n27110 40640\n60303 90407\n1832 2762\n96708 100000\n32523 48707\n59559 89292\n46574 69740\n5628 8483\n25529 38295\n33007 49445\n80154 100000\n26380 39574\n24900 37356\n43448 65051\n14 21\n19412 29173\n31422 47071\n59700 89509\n61985 92957\n17079 25636\n35454 53077\n45811 68584\n93412 100000\n71135 100000\n85507 100000\n65996 98993\n47534 71173\n70130 100000\n30684 45990\n55368 82944\n64686 97021\n57433 86071\n26299 39454\n34903 52266\n65891 98839\n2181 3297\n18155 27258\n45228 67711\n86124 100000\n7316 11022\n75205 100000\n21013 31560\n60757 91098\n58253 87310\n18252 27402\n22612 33961\n81491 100000\n19176 28814\n3168 4796\n54111 81068\n86169 100000\n89877 100000\n69252 100000\n39982 59853\n51407 77025\n36213 54219\n4589 6930\n89929 100000\n42181 63172\n99343 100000\n90348 100000\n9196 13831\n82113 100000\n87154 100000\n75906 100000\n67301 100000\n38177 57151\n77081 100000\n89439 100000\n89595 100000\n5060 7641\n92214 100000\n41809 62622\n34902 52264\n88200 100000\n1115 1672\n87366 100000\n60298 90401\n18761 28161\n23744 35642\n17138 25722\n89938 100000\n73534 100000\n22527 33834\n84913 100000\n17147 25738\n69384 100000\n13202 19868\n85106 100000\n18536 27826\n57363 85962\n6305 9511\n19692 29579\n57085 85546\n25239 37862\n50783 76087\n19187 28829\n33636 50399\n24059 36100\n24072 36121\n81079 100000\n96028 100000\n60150 90175\n2646 4012\n24241 36372\n63676 95502\n98154 100000\n60595 90847\n91540 100000\n85874 100000\n32424 48558\n60101 90107\n53804 80600\n49925 74804\n18470 27726\n31918 47820\n19432 29200\n15171 22818\n2729 4133\n22236 33406\n55649 83373\n55690 83434\n61075 91566\n16682 25036\n49948 74840\n58222 87262\n877 1303\n6358 9589\n81213 100000\n33844 50702\n91494 100000\n52381 78457\n40191 60174\n52941 79302\n56471 84614\n5726 8633\n79652 100000\n75489 100000\n69722 100000\n66866 100000\n51711 77466\n443 662\n4449 6715\n17065 25614\n41177 61661\n65482 98224\n8709 13099\n78967 100000\n74705 100000\n2336 3534\n12009 18069\n65514 98273\n35940 53801\n65827 98738\n22365 33597\n88292 100000\n8689 13072\n80842 100000\n68642 100000\n13409 20186\n86618 100000\n68495 100000\n62110 93144\n28679 42998\n31140 46649\n19991 30036\n14321 21555\n49162 73652\n42118 63074\n98670 100000\n461 690\n5710 8611\n81572 100000\n98358 100000\n61598 92365\n32112 48101\n50957 76346\n68683 100000\n41022 61426\n16461 24716\n89939 100000\n61791 92654\n30516 45728\n42946 64307\n84768 100000\n12455 18749\n55502 83150\n79807 100000\n4315 6510\n69440 100000\n99642 100000\n68665 100000\n64589 96877\n66185 99272\n60351 90478\n26407 39615\n21651 32519\n48530 72687\n39989 59863\n45982 68839\n37301 55848\n98750 100000\n55153 82616\n65393 98096\n55307 82851\n29687 44475\n32179 48199\n54051 80976\n13586 20446\n91315 100000\n77474 100000\n15932 23933\n44504 66621\n54514 81669\n25081 37630\n84644 100000\n35779 53559\n68469 100000\n73925 100000\n58014 86954\n7733 11647\n78572 100000\n71716 100000\n24442 36686\n41972 62854\n69824 100000\n91634 100000\n75287 100000\n44206 66171\n93382 100000\n37877 56695\n15643 23507\n12937 19476\n33504 50197\n17483 26250\n64598 96892\n80817 100000\n11209 16890\n98265 100000\n35371 52950\n87079 100000\n4645 7015\n29864 44746\n55970 83858\n88318 100000\n45709 68427\n82894 100000\n52636 78841\n60621 90891\n39167 58632\n50174 75172\n15653 23521\n54849 82166\n83417 100000\n34116 51115\n31643 47405\n31398 47040\n63411 95090\n31679 47461\n37618 56312\n39036 58437\n2892 4375\n75888 100000\n21929 32933\n67337 100000\n53147 79604\n85393 100000\n99417 100000\n15695 23583\n97766 100000\n30433 45607\n56364 84452\n31954 47871\n23795 35715\n91858 100000\n41952 62827\n78324 100000\n80469 100000\n9935 14943\n77889 100000\n34872 52221\n38976 58343\n62103 93133\n9690 14572\n78398 100000\n568 852\n2257 3416\n96363 100000\n26133 39205\n20165 30292\n69072 100000\n665 993\n95995 100000\n87722 100000\n13261 19964\n72725 100000\n31069 46541\n38520 57669\n43731 65470\n22632 33988\n63956 95924\n38125 57072\n75817 100000\n41334 61897\n31001 46445\n76599 100000\n23633 35476\n33384 50015\n31875 47754\n81274 100000\n87480 100000\n37405 55993\n51514 77186\n20606 30956\n50094 75057\n36680 54930\n90475 100000\n62314 93454\n35688 53426\n23594 35420\n50938 76319\n90499 100000\n36546 54729\n39804 59579\n35768 53541\n72830 100000\n27303 40931\n10866 16358\n95932 100000\n24708 37078\n32315 48401\n79717 100000\n90934 100000\n27497 41229\n47974 71837\n88849 100000\n88471 100000\n35530 53193\n96783 100000\n66239 99354\n57250 85789\n39748 59485\n22274 33464\n57957 86868\n87557 100000\n50018 74946\n41771 62557\n54063 80996\n37801 56591\n1363 2038\n68933 100000\n53100 79535\n40969 61348\n28730 43068\n85223 100000\n38765 58016\n97591 100000\n96515 100000\n60113 90123\n41088 61525\n93211 100000\n43666 65370\n21044 31608\n31372 47003\n96123 100000\n50987 76390\n86660 100000\n25712 38574\n17811 26738\n54433 81543\n25833 38762\n8006 12060\n44998 67371\n14440 21724\n96222 100000\n76755 100000\n67831 100000\n33327 49927\n23456 35209\n32148 48152\n25917 38885\n63983 95962\n22801 34238\n73567 100000\n5377 8117\n28254 42365\n97646 100000\n87761 100000\n58460 87619\n47503 71127\n34322 51422\n52316 78364\n79130 100000\n56402 84512\n20144 30261\n2157 3263\n85422 100000\n60065 90056\n58776 88097\n74334 100000\n33898 50782\n69227 100000\n82276 100000\n40963 61339\n31369 46999\n50710 75977\n89978 100000\n86000 100000\n45948 68788\n45553 68195\n35168 52647\n99435 100000\n87664 100000\n48429 72537\n17802 26725\n13802 20758\n14389 21653\n41700 62451\n61795 92660\n68468 100000\n74764 100000\n71220 100000\n94515 100000\n49982 74892\n9846 14811\n85665 100000\n9424 14170\n53075 79500\n84430 100000\n58384 87507\n40722 60969\n47790 71552\n62263 93376\n29787 44629\n89489 100000\n63591 95369\n67440 100000\n56549 84735\n62757 94126\n13165 19816\n68783 100000\n53649 80356\n13478 20283\n83891 100000\n65714 98566\n87947 100000\n44032 65904\n6424 9691\n86487 100000\n92773 100000\n96348 100000\n36809 55116\n95600 100000\n5423 8183\n13451 20246\n2460 3730\n943 1410\n78938 100000\n71976 100000\n78608 100000\n44005 65863\n98492 100000\n44950 67304\n72089 100000\n70812 100000\n56090 84045\n50706 75970\n37098 55543\n99359 100000\n9439 14195\n69534 100000\n90776 100000\n2026 3056\n29363 44002\n71678 100000\n83570 100000\n84369 100000\n92835 100000\n46788 70048\n76327 100000\n35734 53492\n92393 100000\n60646 90930\n89219 100000\n50125 75101\n87995 100000\n44629 66812\n29805 44660\n81055 100000\n67100 100000\n94859 100000\n66480 99715\n82226 100000\n52503 78648\n18430 27666\n46744 69986\n81071 100000\n66792 100000\n15450 23227\n66731 100000\n61165 91703\n1360 2034\n16880 25341\n60119 90131\n38002 56890\n18642 27982\n47952 71803\n37839 56640\n12848 19339\n76956 100000\n49661 74406\n22739 34147\n76697 100000\n89362 100000\n328 493\n31862 47735\n38508 57653\n21521 32318\n37701 56436\n41917 62777\n28257 42370\n70887 100000\n90367 100000\n63693 95527\n68408 100000\n696 1041\n80276 100000\n96484 100000\n84742 100000\n8103 12200\n54584 81769\n35190 52678\n6206 9366\n33193 49725\n72038 100000\n90158 100000\n66266 99394\n87298 100000\n72844 100000\n28165 42238\n66228 99339\n35922 53772\n80360 100000\n8369 12594\n46442 69531\n6576 9925\n34486 51660\n31158 46677\n90604 100000\n58226 87268\n52481 78615\n6226 9392\n35712 53461\n49249 73780\n50905 76266\n52794 79079\n88081 100000\n73167 100000\n5559 8384\n27112 40644\n7407 11157\n76809 100000\n31059 46527\n72126 100000\n83664 100000\n47135 70566\n94195 100000\n19740 29652\n12712 19134\n49187 73691\n39823 59612\n60675 90975\n39805 59580\n74744 100000\n27388 41066\n31510 47203\n17947 26944\n71344 100000\n18279 27443\n50662 75905\n35135 52601\n6536 9867\n22216 33375\n64501 96745\n20206 30359\n53862 80684\n73990 100000\n88947 100000\n22309 33512\n97449 100000\n20377 30616\n23732 35625\n62520 93765\n1036 1556\n88545 100000\n3871 5831\n52262 78276\n69464 100000\n56119 84086\n28558 42817\n64690 97027\n97147 100000\n54542 81710\n68607 100000\n19327 29041\n12515 18838\n9655 14517\n65250 97888\n27898 41821\n57990 86915\n39878 59699\n61327 91945\n30375 45514\n85461 100000\n97004 100000\n74012 100000\n49411 74039\n50207 75220\n44849 67153\n37232 55746\n77771 100000\n73868 100000\n72226 100000\n82442 100000\n14983 22542\n64658 96983\n49568 74264\n20160 30284\n96334 100000\n96358 100000\n32375 48487\n6511 9827\n16769 25171\n1297 1940\n95027 100000\n76254 100000\n52231 78230\n80395 100000\n58953 88356\n76356 100000\n3557 5367\n29909 44812\n56838 85180\n77883 100000\n99482 100000\n46519 69653\n53969 80848\n38716 57943\n63811 95714\n92078 100000\n97187 100000\n98383 100000\n71441 100000\n61179 91723\n27270 40879\n71758 100000\n84610 100000\n52685 78912\n60689 90993\n51435 77064\n97812 100000\n73434 100000\n44907 67240\n66791 100000\n78656 100000\n83330 100000\n93500 100000\n95094 100000\n29314 43929\n71092 100000\n55935 83805\n16909 25383\n53548 80207\n42171 63157\n6175 9320\n1349 2017\n49639 74373\n9757 14674\n89886 100000\n80052 100000\n49230 73755\n9110 13692\n39216 58704\n32243 48296\n43661 65363\n40619 60820\n49763 74559\n39909 59746\n55993 83893\n27121 40657\n95428 100000\n7746 11669\n79142 100000\n61624 92398\n52519 78674\n74086 100000\n79822 100000\n82313 100000\n57005 85431\n37533 56186\n75938 100000\n94991 100000\n24977 37466\n58102 87087\n9117 13704\n10913 16435\n61068 91554\n31507 47198\n42802 64094\n5507 8311\n99171 100000\n44015 65879\n34253 51320\n81063 100000\n97878 100000\n55481 83117\n49190 73695\n12885 19395\n44386 66446\n39311 58840\n16961 25459\n7501 11302\n36731 55006\n32141 48142\n80139 100000\n84150 100000\n51659 77390\n10391 15636\n34904 52268\n66390 99574\n99218 100000\n80444 100000\n11075 16682\n64205 96304\n14172 21337\n77431 100000\n27999 41974\n46252 69248\n47040 70426\n31614 47361\n17119 25691\n20091 30184\n7267 10953\n15756 23678\n27516 41257\n57935 86838\n22109 33208\n33947 50856\n51835 77651\n49732 74515\n74540 100000\n89885 100000\n25504 38260\n47458 71058\n54274 81308\n96280 100000\n97498 100000\n72410 100000\n98645 100000\n53785 80572\n85180 100000\n15863 23830\n82538 100000\n53800 80594\n59213 88753\n52982 79358\n77793 100000\n68859 100000\n52311 78355\n59390 89033\n58841 88192\n56390 84492\n74168 100000\n65123 97692\n84856 100000\n37528 56178\n12346 18582\n80255 100000\n23274 34940\n87320 100000\n83234 100000\n79470 100000\n97287 100000\n13424 20208\n46035 68916\n90536 100000\n60505 90719\n61361 91995\n58337 87438\n20293 30484\n81906 100000\n28393 42569\n8895 13379\n90883 100000\n69203 100000\n77378 100000\n89693 100000\n15675 23555\n26012 39020\n63018 94509\n6149 9282\n23164 34779\n58783 88108\n50922 76292\n40166 60138\n96168 100000\n81111 100000\n36971 55352\n29885 44777\n2630 3986\n39131 58579\n2962 4487\n88225 100000\n46694 69915\n50878 76222\n28522 42762\n54195 81189\n22384 33625\n69843 100000\n93849 100000\n29105 43626\n54266 81295\n50859 76198\n30766 46102\n3205 4849\n80475 100000\n38160 57124\n18295 27468\n25771 38668\n14574 21923\n22398 33645\n37432 56034\n28121 42171\n96818 100000\n49995 74911\n42942 64300\n50914 76279\n90065 100000\n34494 51672\n56130 84103\n4886 7381\n68889 100000\n62535 93789\n51940 77796\n58023 86969\n45779 68532\n87328 100000\n58750 88056\n98108 100000\n9326 14026\n20835 31301\n65341 98021\n98375 100000\n19450 29226\n55800 83596\n41571 62251\n33021 49467\n41658 62384\n16065 24125\n22743 34154\n61974 92942\n82235 100000\n27114 40647\n92880 100000\n8258 12430\n87038 100000\n56072 84014\n9568 14387\n11278 16995\n2158 3264\n56857 85206\n50170 75166\n76816 100000\n96772 100000\n97146 100000\n7210 10870\n4684 7074\n21544 32357\n29602 44361\n59247 88806\n32228 48272\n20540 30861\n90115 100000\n19367 29105\n38315 57359\n61861 92758\n18459 27712\n27687 41510\n34222 51278\n4177 6307\n13026 19607\n60041 90023\n33631 50392\n56668 84924\n71985 100000\n21480 32260\n37945 56800\n89688 100000\n39675 59374\n85188 100000\n94179 100000\n41078 61509\n52371 78440\n79411 100000\n40450 60563\n82204 100000\n95992 100000\n84685 100000\n880 1309\n15734 23646\n74203 100000\n11326 17071\n7515 11327\n10241 15410\n71740 100000\n56229 84251\n45393 67954\n40795 61079\n10526 15835\n8354 12575\n50488 75638\n41011 61409\n73700 100000\n10684 16083\n69505 100000\n35213 52711\n38063 56980\n70534 100000\n75977 100000\n38630 57821\n42516 63671\n65383 98079\n80031 100000\n79240 100000\n29642 44415\n91621 100000\n63464 95169\n35174 52656\n50389 75494\n99305 100000\n66322 99481\n87957 100000\n4852 7328\n55752 83528\n81759 100000\n6345 9572\n32769 49088\n6728 10162\n99750 100000\n12247 18434\n25624 38440\n77513 100000\n7067 10657\n97867 100000\n83418 100000\n54429 81537\n96552 100000\n69801 100000\n43344 64901\n49345 73926\n5317 8024\n56392 84495\n30158 45184\n13673 20576\n85565 100000\n918 1371\n94355 100000\n20373 30609\n25379 38067\n66352 99527\n19790 29724\n32329 48420\n36421 54543\n32938 49348\n86153 100000\n64229 96341\n3373 5097\n35311 52861\n36490 54649\n11233 16930\n61409 92070\n78022 100000\n74183 100000\n78201 100000\n15520 23331\n57841 86687\n39474 59077\n64402 96599\n98293 100000\n59724 89547\n148 214\n45124 67555\n58994 88419\n1952 2948\n14921 22446\n23413 35145\n74048 100000\n72241 100000\n96485 100000\n98911 100000\n78729 100000\n54614 81814\n6371 9610\n94138 100000\n47845 71641\n74587 100000\n60049 90032\n36718 54986\n31469 47141\n5432 8197\n85007 100000\n17341 26032\n78898 100000\n8629 12983\n79137 100000\n54771 82054\n59006 88434\n43371 64940\n81104 100000\n71492 100000\n14040 21131\n31697 47489\n83550 100000\n70193 100000\n5022 7579\n49835 74671\n30160 45187\n96248 100000\n22676 34051\n83258 100000\n84247 100000\n49479 74138\n22394 33640\n34571 51777\n77237 100000\n63298 94927\n81440 100000\n36598 54807\n39575 59224\n61514 92233\n85096 100000\n78895 100000\n92994 100000\n10412 15670\n35251 52771\n87987 100000\n45866 68668\n51062 76502\n82510 100000\n60209 90267\n41427 62038\n98425 100000\n79317 100000\n6280 9472\n95989 100000\n1787 2693\n88037 100000\n38733 57967\n20395 30646\n15638 23499\n94316 100000\n98912 100000\n11480 17289\n77879 100000\n35087 52534\n79758 100000\n26855 40262\n79515 100000\n24063 36107\n3040 4610\n49245 73775\n68233 100000\n22317 33523\n96129 100000\n6969 10526\n76610 100000\n72822 100000\n63055 94562\n33187 49716\n96524 100000\n17735 26631\n64301 96451\n30606 45870\n62517 93761\n61274 91868\n32830 49185\n66979 100000\n49102 73562\n31586 47314\n65778 98667\n45005 67381\n66737 100000\n91110 100000\n59688 89490\n89914 100000\n1446 2160\n88612 100000\n79896 100000\n26486 39727\n69751 100000\n84001 100000\n18202 27328\n32217 48254\n7632 11499\n45066 67470\n63646 95454\n44024 65892\n12590 18954\n13606 20476\n86549 100000\n7271 10958\n88142 100000\n63393 95064\n34342 51450\n40316 60354\n89775 100000\n14892 22407\n37111 55561\n62817 94211\n4944 7467\n74793 100000\n49012 73422\n49717 74492\n24905 37362\n78190 100000\n60311 90421\n59240 88794\n18579 27888\n74566 100000\n32026 47976\n76239 100000\n73880 100000\n67343 100000\n53344 79900\n48760 73044\n43651 65351\n71587 100000\n11234 16932\n34780 52089\n8149 12261\n82501 100000\n29204 43760\n31055 46520\n49569 74266\n94394 100000\n5250 7925\n32868 49240\n44412 66482\n39296 58817\n69412 100000\n94655 100000\n73235 100000\n24037 36069\n6297 9497\n76335 100000\n51498 77165\n70399 100000\n43952 65787\n47705 71424\n13567 20417\n63858 95785\n70787 100000\n60197 90246\n38205 57192\n93460 100000\n94115 100000\n99759 100000\n86418 100000\n5337 8056\n80947 100000\n46392 69455\n7693 11587\n50290 75344\n10541 15859\n42904 64242\n26854 40260\n68250 100000\n91167 100000\n18753 28148\n45566 68217\n20838 31306\n17823 26758\n11709 17631\n46084 68991\n83916 100000\n16297 24477\n51464 77111\n64133 96189\n26608 39899\n74303 100000\n38017 56910\n44968 67327\n2397 3634\n21069 31647\n64134 96191\n6926 10459\n30718 46036\n38512 57658\n54159 81136\n27858 41762\n99505 100000\n90754 100000\n43601 65271\n2727 4131\n44074 65966\n99160 100000\n53793 80584\n89009 100000\n10364 15596\n60486 90687\n60321 90436\n38535 57687\n1774 2670\n59689 89492\n38958 58313\n99838 100000\n4250 6418\n68319 100000\n78795 100000\n42062 62991\n6689 10098\n57725 86522\n19838 29802\n15327 23047\n69622 100000\n25185 37780\n33994 50930\n15674 23554\n74109 100000\n57138 85621\n45408 67976\n18534 27823\n25100 37656\n49051 73478\n5107 7717\n72532 100000\n30225 45289\n23813 35741\n29749 44573\n57225 85749\n83572 100000\n72278 100000\n41469 62101\n89729 100000\n99136 100000\n59993 89948\n75434 100000\n71886 100000\n67604 100000\n17964 26969\n93707 100000\n8786 13216\n97326 100000\n45280 67790\n28370 42535\n49704 74468\n76351 100000\n33253 49819\n44346 66384\n96435 100000\n30918 46323\n42883 64212\n17222 25848\n43153 64615\n45840 68627\n59512 89221\n96592 100000\n27593 41371\n35378 52961\n45140 67578\n57877 86745\n83127 100000\n2756 4172\n35616 53323\n1231 1845\n63622 95417\n99660 100000\n75445 100000\n63142 94697\n15427 23195\n71877 100000\n20526 30838\n89043 100000\n85612 100000\n61408 92068\n94472 100000\n89708 100000\n56384 84485\n63542 95296\n52625 78827\n46190 69149\n23822 35752\n41077 61507\n23909 35876\n43925 65746\n12548 18892\n76940 100000\n83431 100000\n61834 92716\n33146 49651\n26574 39854\n56689 84954\n41966 62847\n40617 60816\n55476 83108\n29936 44852\n46599 69777\n6581 9933\n14667 22061\n18490 27757\n52612 78808\n7661 11542\n58956 88360\n27880 41794\n95441 100000\n48232 72232\n31189 46728\n80967 100000\n28486 42705\n94175 100000\n84672 100000\n17205 25823\n99450 100000\n25697 38551\n40949 61318\n87579 100000\n93622 100000\n7597 11444\n89143 100000\n2359 3575\n72375 100000\n76792 100000\n84068 100000\n90067 100000\n98915 100000\n25735 38611\n96308 100000\n67061 100000\n19030 28582\n40748 61004\n8154 12270\n79219 100000\n66828 100000\n5249 7924\n94414 100000\n23352 35056\n60504 90717\n73311 100000\n98859 100000\n19795 29731\n49180 73681\n77941 100000\n4193 6332\n31616 47363\n19930 29948\n93063 100000\n36750 55031\n22866 34334\n82384 100000\n51588 77290\n57376 85982\n19528 29343\n94533 100000\n40353 60414\n55351 82920\n33329 49929\n76529 100000\n92125 100000\n56950 85344\n83350 100000\n31597 47335\n89368 100000\n30585 45837\n59653 89434\n84346 100000\n96774 100000\n64413 96615\n72950 100000\n99837 100000\n87851 100000\n35136 52603\n43276 64801\n6158 9297\n66250 99371\n66209 99310\n33551 50264\n74003 100000\n80090 100000\n22629 33984\n8056 12133\n79762 100000\n60085 90084\n91920 100000\n16684 25039\n97647 100000\n23308 34990\n28432 42628\n41843 62676\n25903 38866\n36382 54481\n25677 38522\n14987 22548\n78327 100000\n97283 100000\n35063 52503\n80371 100000\n98434 100000\n74074 100000\n8057 12134\n94066 100000\n56022 83937\n6372 9612\n6047 9131\n79441 100000\n64552 96821\n70603 100000\n91111 100000\n69970 100000\n57705 86491\n7594 11441\n33912 50802\n77594 100000\n95009 100000\n94405 100000\n29303 43915\n53837 80647\n1818 2743\n27298 40924\n38192 57174\n59374 89008\n56887 85251\n22424 33682\n5939 8973\n37660 56374\n31545 47254\n44426 66505\n55053 82461\n8433 12686\n45552 68193\n64603 96900\n59277 88855\n73107 100000\n6132 9257\n18571 27879\n91605 100000\n94246 100000\n35133 52598\n37989 56868\n24148 36239\n11150 16801\n11507 17330\n48999 73403\n58774 88094\n25995 38993\n9600 14431\n99198 100000\n16520 24809\n35502 53147\n51589 77291\n22445 33716\n42845 64157\n64110 96155\n30595 45854\n2527 3831\n18260 27415\n56898 85264\n14001 21068\n73007 100000\n57916 86807\n53213 79698\n68128 100000\n46980 70330\n2062 3115\n82070 100000\n71542 100000\n67372 100000\n34846 52179\n4308 6503\n50091 75052\n17922 26905\n51434 77062\n20944 31465\n33712 50508\n80175 100000\n4729 7141\n57356 85952\n90911 100000\n38621 57809\n56097 84054\n30876 46265\n64900 97354\n2605 3949\n35797 53582\n56676 84936\n89421 100000\n5700 8597\n1471 2198\n55512 83164\n55447 83067\n44226 66201\n36235 54255\n37332 55892\n60009 89970\n77501 100000\n89698 100000\n60804 91161\n24522 36799\n65146 97731\n36275 54314\n29130 43662\n69387 100000\n31880 47761\n88815 100000\n45089 67507\n89054 100000\n34691 51951\n28751 43098\n39070 58486\n6598 9961\n89119 100000\n15484 23275\n28904 43327\n43199 64684\n42970 64346\n59834 89709\n38990 58366\n36169 54150\n41380 61964\n99860 100000\n111 161\n79460 100000\n28916 43344\n5513 8322\n91075 100000\n71571 100000\n3324 5026\n59452 89127\n51995 77876\n63831 95745\n74430 100000\n84888 100000\n83297 100000\n6951 10499\n63564 95326\n41198 61695\n19655 29530\n17364 26069\n97071 100000\n72250 100000\n82921 100000\n75761 100000\n65284 97940\n66755 100000\n4855 7332\n74043 100000\n17729 26622\n73874 100000\n3478 5251\n6751 10196\n96206 100000\n43123 64569\n23510 35295\n32667 48929\n58615 87844\n37845 56649\n92460 100000\n97490 100000\n57941 86846\n3078 4663\n60820 91184\n98775 100000\n4599 6945\n7770 11701\n78966 100000\n51444 77081\n76690 100000\n27341 40993\n8035 12101\n46144 69077\n70521 100000\n7884 11872\n45244 67735\n59720 89539\n21350 32061\n77757 100000\n11871 17869\n18846 28298\n39122 58566\n16727 25101\n37138 55603\n71421 100000\n63452 95149\n71699 100000\n36906 55257\n45136 67572\n82021 100000\n99394 100000\n17393 26114\n77670 100000\n73092 100000\n66787 100000\n6457 9743\n48316 72359\n76703 100000\n45579 68237\n65013 97522\n70570 100000\n35980 53865\n49915 74790\n12561 18911\n7758 11684\n45158 67608\n94073 100000\n52110 78046\n25294 37940\n93795 100000\n81736 100000\n64141 96201\n91863 100000\n54662 81888\n59626 89395\n2207 3338\n68707 100000\n24889 37339\n63319 94958\n80495 100000\n19054 28618\n38763 58013\n43960 65798\n51160 76653\n52103 78037\n10212 15361\n51686 77430\n36345 54424\n27717 41553\n1788 2695\n61049 91523\n79104 100000\n71531 100000\n82606 100000\n86919 100000\n8297 12491\n67247 100000\n25651 38480\n92160 100000\n26716 40059\n89345 100000\n9109 13691\n86342 100000\n76593 100000\n87686 100000\n70964 100000\n25983 38978\n38844 58144\n45081 67492\n52569 78748\n65088 97639\n66895 100000\n49976 74883\n88265 100000\n37587 56265\n79891 100000\n84947 100000\n37085 55525\n8662 13031\n13083 19690\n64105 96147\n57939 86843\n12192 18347\n86096 100000\n37424 56022\n67504 100000\n31508 47199\n54449 81567\n7760 11687\n18838 28286\n91728 100000\n38760 58009\n58788 88115\n16439 24685\n35009 52419\n73198 100000\n11576 17434\n12895 19409\n9675 14548\n65728 98588\n32747 49054\n8752 13168\n14222 21407\n80978 100000\n12847 19338\n424 636\n65161 97754\n9423 14168\n15055 22647\n55674 83409\n63501 95228\n32767 49084\n54794 82090\n73478 100000\n48369 72444\n29005 43475\n99771 100000\n4710 7112\n25565 38349\n30488 45686\n11164 16823\n57241 85773\n40156 60120\n68546 100000\n15125 22745\n84836 100000\n44949 67302\n99479 100000\n85998 100000\n61878 92784\n28549 42805\n63977 95953\n39346 58894\n95053 100000\n69118 100000\n7434 11201\n61355 91986\n55144 82603\n62423 93617\n45940 68775\n1271 1902\n21136 31748\n44579 66731\n90553 100000\n41224 61736\n87827 100000\n45041 67431\n25824 38749\n92264 100000\n9636 14488\n20262 30445\n46661 69865\n35046 52475\n37212 55711\n31840 47698\n32515 48693\n4448 6713\n78530 100000\n50095 75058\n35764 53536\n32201 48229\n19806 29750\n58794 88122\n93736 100000\n14350 21596\n26184 39285\n24851 37280\n46564 69727\n16299 24480\n57897 86776\n36387 54486\n56677 84938\n20329 30542\n73168 100000\n3506 5292\n74093 100000\n80325 100000\n92375 100000\n17012 25538\n80481 100000\n67810 100000\n41705 62457\n64461 96682\n10587 15931\n85193 100000\n34461 51623\n25805 38717\n98513 100000\n21248 31913\n90653 100000\n38116 57060\n64546 96814\n33720 50517\n57700 86485\n69777 100000\n60336 90456\n98624 100000\n73623 100000\n32120 48111\n9887 14877\n36811 55119\n90485 100000\n39004 58388\n48338 72394\n91537 100000\n97928 100000\n74986 100000\n11821 17804\n3763 5668\n70335 100000\n92035 100000\n51088 76541\n48069 71986\n52605 78798\n29492 44192\n71897 100000\n60025 89996\n9126 13720\n69327 100000\n94567 100000\n55294 82832\n19564 29391\n88422 100000\n58536 87729\n82712 100000\n99535 100000\n8553 12865\n40128 60079\n25904 38867\n32033 47985\n21039 31599\n31254 46829\n30139 45158\n42925 64276\n59984 89934\n15876 23851\n72028 100000\n93005 100000\n84914 100000\n418 627\n35208 52703\n30887 46278\n27220 40806\n81923 100000\n40577 60753\n52907 79253\n24671 37022\n83590 100000\n19963 29994\n79558 100000\n19138 28752\n16857 25307\n41748 62519\n92439 100000\n89507 100000\n18440 27681\n94913 100000\n15313 23021\n36094 54035\n37733 56483\n45439 68026\n57994 86922\n10207 15353\n54650 81868\n85917 100000\n88807 100000\n34992 52394\n47321 70857\n92807 100000\n91563 100000\n43186 64663\n5744 8661\n76016 100000\n71792 100000\n42026 62932\n3801 5727\n7813 11766\n59965 89907\n15588 23429\n68950 100000\n26729 40075\n75795 100000\n55274 82798\n49229 73754\n19021 28568\n14981 22539\n80189 100000\n96977 100000\n8222 12372\n23565 35375\n69040 100000\n44825 67114\n15404 23164\n24257 36399\n56120 84087\n23769 35677\n28633 42928\n79102 100000\n73258 100000\n28276 42399\n9570 14390\n54178 81163\n77483 100000\n31806 47648\n8279 12463\n37590 56269\n87196 100000\n55273 82797\n82628 100000\n16208 24341\n21166 31791\n93868 100000\n73040 100000\n95433 100000\n12983 19545\n95937 100000\n8823 13274\n8074 12158\n72049 100000\n54277 81312\n81067 100000\n31020 46472\n45227 67710\n58135 87136\n30481 45676\n25660 38495\n8328 12534\n15034 22617\n51655 77384\n35366 52944\n35755 53523\n96633 100000\n26298 39452\n32534 48723\n40053 59967\n41976 62861\n51340 76922\n12926 19457\n41532 62194\n69288 100000\n6850 10348\n59921 89840\n79522 100000\n40339 60390\n54415 81514\n2442 3707\n6338 9564\n26140 39215\n75157 100000\n33338 49943\n87428 100000\n34030 50985\n24742 37124\n61017 91475\n82759 100000\n25557 38338\n89756 100000\n80064 100000\n49463 74115\n50370 75467\n39521 59146\n3613 5447\n18048 27097\n16530 24824\n54057 80985\n98939 100000\n28900 43322\n85249 100000\n68748 100000\n1238 1856\n93385 100000\n21283 31960\n93598 100000\n27513 41251\n59087 88561\n28430 42625\n8189 12326\n27580 41353\n47319 70853\n588 880\n23792 35710\n695 1039\n96095 100000\n51810 77614\n7959 11989\n38823 58109\n43181 64654\n23397 35122\n34233 51295\n91948 100000\n44121 66040\n17651 26507\n70005 100000\n17273 25925\n73517 100000\n45787 68546\n90254 100000\n41835 62664\n25184 37778\n2252 3409\n45547 68185\n41927 62791\n2340 3542\n20173 30304\n27030 40521\n8793 13227\n5841 8818\n18691 28057\n52974 79346\n45320 67846\n67201 100000\n78225 100000\n2418 3671\n38272 57294\n61182 91729\n70295 100000\n53908 80752\n27061 40568\n58879 88249\n84891 100000\n11842 17831\n39731 59460\n12358 18603\n91017 100000\n78598 100000\n2066 3121\n90987 100000\n90076 100000\n25989 38985\n56353 84437\n6416 9677\n85038 100000\n16151 24254\n27841 41740\n18921 28416\n70002 100000\n70999 100000\n74493 100000\n66858 100000\n7101 10706\n5655 8526\n87451 100000\n7405 11153\n5019 7574\n52427 78529\n31809 47652\n29236 43808\n40933 61296\n26177 39275\n92374 100000\n20974 31508\n82458 100000\n55299 82840\n38985 58359\n68983 100000\n66877 100000\n99392 100000\n59988 89941\n37698 56431\n53438 80041\n53114 79558\n36776 55070\n3562 5375\n62252 93359\n82844 100000\n47247 70747\n13415 20194\n29576 44323\n63687 95519\n67749 100000\n32525 48710\n63899 95843\n44789 67063\n87190 100000\n45159 67609\n53613 80305\n42612 63810\n20489 30787\n28140 42197\n33389 50023\n10529 15840\n22400 33649\n19363 29099\n32450 48596\n4678 7066\n40620 60822\n13643 20535\n23828 35761\n72349 100000\n80498 100000\n50085 75044\n55762 83541\n67370 100000\n69344 100000\n82516 100000\n88277 100000\n28052 42059\n18990 28520\n55289 82825\n35557 53238\n53090 79523\n62931 94384\n10971 16517\n88130 100000\n54444 81558\n58861 88223\n70626 100000\n63138 94692\n40557 60726\n28945 43388\n15642 23505\n28466 42678\n3669 5526\n43501 65129\n951 1424\n75341 100000\n35148 52618\n31782 47615\n87852 100000\n40808 61098\n9547 14357\n69073 100000\n12250 18439\n82402 100000\n24847 37272\n95278 100000\n15258 22945\n76496 100000\n48982 73379\n62153 93210\n88508 100000\n93875 100000\n48103 72033\n35362 52939\n27162 40719\n7523 11340\n57984 86909\n62712 94057\n38959 58315\n25096 37651\n97614 100000\n61550 92290\n26850 40254\n20937 31456\n55816 83621\n61122 91638\n84043 100000\n83062 100000\n43761 65515\n25399 38098\n12957 19505\n61726 92552\n83447 100000\n29188 43737\n4028 6074\n93768 100000\n74788 100000\n30681 45985\n75763 100000\n59927 89850\n12378 18634\n80305 100000\n29029 43511\n55846 83668\n78615 100000\n69855 100000\n38755 58001\n21496 32284\n74670 100000\n91577 100000\n90719 100000\n64831 97249\n69969 100000\n82221 100000\n99626 100000\n59474 89162\n79157 100000\n40144 60102\n68570 100000\n73539 100000\n34404 51543\n71131 100000\n42977 64357\n13764 20704\n38719 57946\n1720 2584\n35472 53103\n88361 100000\n85697 100000\n22294 33493\n16219 24359\n25330 37996\n63358 95011\n34227 51286\n47469 71075\n66788 100000\n38552 57710\n36843 55163\n45125 67556\n74565 100000\n2884 4363\n78127 100000\n48286 72314\n67943 100000\n7343 11060\n27139 40685\n67272 100000\n97514 100000\n99826 100000\n73101 100000\n98483 100000\n3868 5828\n27216 40801\n99145 100000\n36781 55078\n95374 100000\n57101 85568\n18151 27253\n59870 89764\n1146 1720\n52480 78613\n12698 19113\n84703 100000\n88253 100000\n85064 100000\n77636 100000\n87902 100000\n98628 100000\n7209 10868\n81856 100000\n51285 76842\n27908 41835\n28600 42880\n52211 78201\n55578 83267\n66758 100000\n89923 100000\n43355 64917\n38928 58266\n35499 53143\n36717 54984\n22634 33991\n65152 97741\n40800 61085\n98944 100000\n92416 100000\n88031 100000\n37439 56044\n67683 100000\n74501 100000\n69246 100000\n95090 100000\n35156 52632\n95310 100000\n32819 49167\n21146 31764\n43579 65240\n55508 83159\n85970 100000\n43524 65161\n34643 51881\n1158 1736\n27322 40961\n36785 55082\n39372 58931\n6022 9094\n57836 86680\n25392 38087\n87426 100000\n51035 76462\n44158 66097\n34163 51188\n93509 100000\n70581 100000\n82546 100000\n73260 100000\n7626 11490\n7708 11608\n96521 100000\n68145 100000\n51913 77760\n66808 100000\n53029 79427\n54781 82068\n91783 100000\n41108 61554\n67124 100000\n32722 49018\n25762 38652\n38053 56966\n70647 100000\n18296 27470\n74227 100000\n85446 100000\n61619 92392\n9790 14723\n75611 100000\n26474 39712\n77465 100000\n33894 50776\n97874 100000\n74064 100000\n56889 85253\n42678 63906\n21933 32941\n41830 62656\n24659 37002\n74488 100000\n65458 98192\n35320 52874\n97608 100000\n47760 71506\n11891 17899\n84360 100000\n66817 100000\n51213 76731\n93561 100000\n52094 78025\n6561 9902\n13794 20746\n29376 44021\n34862 52202\n45719 68442\n33031 49483\n96262 100000\n36105 54052\n12044 18123\n62547 93806\n43256 64774\n72471 100000\n25779 38678\n77260 100000\n48230 72229\n73326 100000\n85202 100000\n92016 100000\n16273 24442\n35093 52545\n68289 100000\n91879 100000\n4450 6716\n82729 100000\n66697 100000\n81779 100000\n32447 48591\n42053 62978\n88410 100000\n31432 47086\n74243 100000\n11410 17190\n58575 87788\n9974 15005\n34721 51996\n12181 18328\n21951 32968\n20018 30076\n42266 63299\n82406 100000\n2804 4237\n57996 86926\n82203 100000\n75953 100000\n44462 66558\n77118 100000\n4377 6604\n98886 100000\n16158 24267\n48765 73051\n86344 100000\n60453 90634\n846 1260\n98359 100000\n41791 62590\n34432 51583\n33076 49549\n3667 5522\n72369 100000\n13523 20347\n88083 100000\n89556 100000\n78583 100000\n2272 3437\n75123 100000\n45485 68096\n56716 84993\n90932 100000\n50245 75279\n34167 51195\n2622 3974\n9520 14316\n3571 5387\n6641 10020\n48046 71949\n20549 30876\n38214 57207\n43803 65569\n67284 100000\n26141 39216\n47429 71017\n66118 99174\n55177 82651\n5881 8886\n85852 100000\n31234 46800\n76357 100000\n86588 100000\n49491 74160\n85161 100000\n9797 14735\n72160 100000\n80146 100000\n3630 5473\n97539 100000\n78376 100000\n44126 66049\n2146 3244\n98831 100000\n86192 100000\n3867 5827\n68251 100000\n43333 64885\n6363 9597\n42479 63617\n71495 100000\n15318 23031\n15368 23110\n46778 70037\n41694 62443\n74272 100000\n9337 14046\n49946 74837\n65188 97796\n68189 100000\n4795 7240\n5518 8328\n42134 63097\n65364 98055\n50234 75261\n38937 58282\n36147 54117\n67139 100000\n51820 77628\n54564 81743\n53569 80238\n21427 32179\n72314 100000\n27399 41081\n41135 61596\n5401 8152\n74645 100000\n70043 100000\n11848 17838\n83607 100000\n18973 28496\n93728 100000\n49188 73692\n93651 100000\n60381 90529\n37980 56852\n95739 100000\n65579 98365\n13932 20957\n17400 26125\n95003 100000\n44761 67020\n19188 28830\n38227 57226\n2726 4130\n6903 10429\n97469 100000\n95765 100000\n37305 55853\n69677 100000\n5086 7683\n96846 100000\n15649 23516\n14753 22193\n10809 16276\n24133 36217\n90394 100000\n10573 15910\n70331 100000\n7728 11639\n32159 48169\n82838 100000\n662 987\n49992 74907\n91178 100000\n91247 100000\n32437 48576\n93573 100000\n42298 63347\n38480 57609\n30692 46000\n48652 72876\n19588 29429\n81151 100000\n71698 100000\n24128 36209\n38123 57069\n8426 12677\n3543 5346\n82907 100000\n80295 100000\n35754 53522\n96908 100000\n98858 100000\n45534 68168\n95136 100000\n24173 36278\n20902 31403\n10418 15678\n76094 100000\n53198 79677\n49504 74181\n61295 91898\n18683 28044\n69917 100000\n54463 81589\n5713 8615\n50237 75266\n47753 71497\n46055 68944\n78789 100000\n92372 100000\n39377 58939\n50723 75996\n55142 82599\n73615 100000\n10095 15190\n97513 100000\n54230 81239\n69187 100000\n13807 20767\n68517 100000\n63094 94619\n15436 23206\n826 1236\n73039 100000\n32639 48887\n73439 100000\n31642 47403\n75417 100000\n52190 78166\n24736 37116\n6717 10143\n75910 100000\n32939 49350\n58035 86986\n35032 52452\n31817 47666\n66816 100000\n70433 100000\n38614 57800\n90990 100000\n44093 65993\n5297 7994\n28791 43156\n30965 46394\n60593 90844\n12645 19038\n66907 100000\n67298 100000\n39400 58975\n5528 8342\n57502 86176\n86488 100000\n26259 39395\n36612 54826\n43386 64962\n61292 91893\n54707 81954\n16310 24495\n97224 100000\n49720 74496\n39075 58493\n16171 24287\n88344 100000\n68486 100000\n41054 61472\n59497 89199\n88949 100000\n39401 58976\n24816 37225\n38557 57716\n1120 1680\n56947 85339\n30781 46126\n8910 13400\n90730 100000\n87651 100000\n2433 3693\n75908 100000\n56391 84494\n88441 100000\n62341 93487\n7638 11507\n11242 16942\n77519 100000\n95491 100000\n64832 97250\n7251 10929\n6086 9185\n86398 100000\n10156 15280\n70003 100000\n67780 100000\n90751 100000\n6791 10259\n60732 91061\n62227 93321\n66573 99861\n77870 100000\n39656 59347\n12096 18201\n34523 51715\n40443 60552\n46031 68909\n93752 100000\n54211 81211\n24614 36939\n29666 44447\n84783 100000\n38375 57457\n33633 50396\n98350 100000\n30432 45606\n43467 65079\n78551 100000\n94523 100000\n22645 34005\n77953 100000\n81052 100000\n50253 75290\n70297 100000\n48261 72277\n30705 46018\n16779 25187\n11695 17613\n93954 100000\n26829 40222\n21010 31556\n37125 55584\n64895 97346\n21123 31729\n63832 95746\n73463 100000\n78286 100000\n77651 100000\n2104 3178\n73720 100000\n40789 61070\n81329 100000\n88726 100000\n15818 23769\n90731 100000\n88256 100000\n40663 60883\n67496 100000\n56020 83933\n63144 94699\n93003 100000\n49834 74669\n12459 18754\n32076 48048\n33480 50159\n62438 93643\n22606 33953\n27656 41464\n27601 41382\n45175 67632\n26751 40107\n79322 100000\n47609 71283\n84649 100000\n65987 98977\n27512 41249\n27154 40707\n90616 100000\n87275 100000\n43641 65337\n26176 39273\n23872 35823\n33686 50470\n24122 36199\n67391 100000\n37027 55433\n52623 78825\n67606 100000\n73432 100000\n45530 68164\n66077 99112\n72636 100000\n84519 100000\n29876 44764\n92898 100000\n21792 32726\n86747 100000\n68500 100000\n60225 90288\n65491 98237\n33649 50420\n91086 100000\n64959 97443\n51024 76446\n99585 100000\n65264 97910\n95962 100000\n68078 100000\n34400 51535\n78294 100000\n71800 100000\n60261 90343\n28231 42335\n58543 87740\n79651 100000\n85266 100000\n31481 47156\n37470 56094\n89539 100000\n11565 17417\n48573 72754\n65085 97634\n81243 100000\n93379 100000\n67293 100000\n38471 57594\n51093 76549\n40084 60013\n57239 85770\n9072 13632\n16881 25343\n29440 44118\n62233 93328\n99085 100000\n12948 19493\n72336 100000\n75454 100000\n19927 29943\n81680 100000\n25473 38217\n36142 54111\n4708 7109\n14251 21447\n26167 39258\n61196 91749\n6542 9875\n90732 100000\n49550 74241\n73969 100000\n95923 100000\n81868 100000\n80846 100000\n7870 11851\n63301 94932\n93296 100000\n61452 92134\n63261 94871\n18542 27836\n97613 100000\n77610 100000\n29324 43943\n3538 5339\n18026 27061\n1476 2207\n58050 87008\n9472 14243\n66978 100000\n27221 40808\n96305 100000\n99834 100000\n85604 100000\n90927 100000\n17340 26030\n11928 17949\n21532 32338\n4073 6147\n90956 100000\n59812 89675\n51071 76516\n22834 34290\n53240 79741\n40179 60157\n38530 57681\n37455 56070\n94869 100000\n8571 12896\n72201 100000\n82973 100000\n76715 100000\n47907 71736\n77370 100000\n23162 34776\n83324 100000\n60920 91326\n52070 77990\n50758 76050\n84163 100000\n29689 44479\n89466 100000\n99522 100000\n61553 92294\n72276 100000\n49511 74189\n31272 46855\n86088 100000\n86599 100000\n30959 46384\n14766 22212\n18802 28226\n55007 82394\n63867 95798\n13699 20615\n55739 83509\n16599 24920\n37341 55903\n23005 34545\n41112 61560\n91644 100000\n38851 58155\n19074 28647\n26457 39686\n98885 100000\n89463 100000\n48989 73388\n97099 100000\n13913 20931\n57361 85959\n11021 16598\n90736 100000\n36291 54339\n13742 20674\n51657 77387\n46929 70250\n11872 17871\n99566 100000\n30114 45117\n92737 100000\n62791 94173\n78982 100000\n69873 100000\n57001 85424\n4740 7159\n44938 67285\n38836 58131\n27302 40929\n77951 100000\n36466 54610\n15382 23130\n8221 12370\n49112 73576\n36875 55210\n93860 100000\n40393 60473\n15002 22572\n33732 50535\n21410 32154\n38379 57462\n89066 100000\n33015 49457\n2889 4369\n71438 100000\n55622 83332\n73084 100000\n70879 100000\n17584 26401\n58381 87502\n83598 100000\n78472 100000\n14946 22490\n75587 100000\n60942 91357\n58152 87163\n20375 30613\n552 826\n61864 92763\n63173 94738\n89884 100000\n84419 100000\n75900 100000\n79491 100000\n88544 100000\n13175 19831\n3581 5399\n85627 100000\n37100 55546\n59649 89430\n80781 100000\n25644 38469\n33602 50343\n25319 37978\n45665 68366\n2161 3268\n44677 66892\n43620 65305\n37061 55485\n29940 44857\n54363 81440\n90225 100000\n29307 43921\n83939 100000\n44681 66898\n68090 100000\n45473 68078\n32636 48882\n52156 78111\n86870 100000\n65081 97628\n40219 60213\n34049 51013\n93287 100000\n61783 92643\n3831 5772\n77978 100000\n17693 26572\n70622 100000\n15288 22986\n65561 98342\n39156 58613\n90330 100000\n82081 100000\n27397 41078\n31425 47077\n78621 100000\n14444 21728\n50032 74967\n47152 70593\n64158 96231\n68453 100000\n1730 2599\n12518 18844\n87879 100000\n89401 100000\n19209 28862\n39260 58767\n310 466\n81193 100000\n46170 69116\n89208 100000\n11767 17722\n55397 82990\n99914 100000\n40246 60253\n59954 89890\n42675 63903\n53508 80143\n45284 67795\n66516 99772\n49528 74211\n48516 72664\n3240 4899\n86196 100000\n17130 25710\n29310 43925\n28468 42681\n32056 48018\n51772 77557\n4331 6535\n25954 38939\n61650 92439\n87961 100000\n89529 100000\n81518 100000\n11683 17597\n79684 100000\n28038 42038\n91665 100000\n49313 73875\n98241 100000\n44177 66126\n60723 91047\n92911 100000\n7128 10746\n76844 100000\n7961 11992\n78897 100000\n5799 8755\n86533 100000\n29760 44590\n90518 100000\n98952 100000\n43572 65229\n47884 71702\n92839 100000\n13203 19870\n84402 100000\n1970 2976\n85243 100000\n40253 60263\n34518 51708\n80888 100000\n17030 25565\n52929 79284\n84107 100000\n19322 29033\n43561 65215\n39310 58838\n52406 78493\n13218 19896\n14602 21962\n58496 87669\n2695 4083\n96581 100000\n58837 88187\n5146 7772\n37412 56006\n50730 76007\n98389 100000\n7268 10954\n55693 83438\n55851 83676\n70654 100000\n68906 100000\n23466 35227\n14903 22421\n48838 73163\n7794 11736\n9595 14423\n21930 32935\n56637 84875\n62388 93559\n71511 100000\n2486 3769\n8226 12378\n88231 100000\n22849 34310\n73935 100000\n51067 76510\n89623 100000\n81101 100000\n81763 100000\n56904 85274\n83856 100000\n7712 11615\n12156 18290\n29579 44327\n63788 95675\n96588 100000\n22071 33150\n82305 100000\n95485 100000\n54792 82086\n95601 100000\n96994 100000\n80257 100000\n19425 29192\n5745 8663\n60462 90651\n3258 4925\n37286 55825\n1175 1763\n67535 100000\n42023 62928\n98863 100000\n76473 100000\n34859 52197\n80378 100000\n7584 11427\n210 313\n2766 4185\n19420 29184\n92914 100000\n31441 47099\n78019 100000\n25819 38740\n13975 21027\n30164 45194\n71197 100000\n37612 56304\n5456 8235\n22511 33813\n39908 59744\n1504 2249\n70111 100000\n78448 100000\n16427 24665\n40392 60471\n46854 70139\n95237 100000\n85530 100000\n54885 82217\n24230 36357\n5099 7706\n51181 76687\n25880 38833\n77542 100000\n2685 4066\n66377 99559\n32893 49282\n37864 56675\n271 406\n73282 100000\n1764 2653\n72641 100000\n25895 38854\n61393 92045\n99706 100000\n58498 87673\n19866 29846\n41227 61740\n66587 99881\n47431 71020\n61873 92776\n38412 57510\n16556 24861\n58459 87618\n20712 31119\n800 1199\n37940 56793\n6918 10448\n93827 100000\n19757 29674\n97715 100000\n41871 62716\n8615 12964\n59745 89580\n60415 90578\n26226 39346\n61004 91455\n23379 35094\n73470 100000\n86465 100000\n77234 100000\n51714 77471\n61984 92956\n7812 11765\n86146 100000\n31851 47714\n8714 13105\n74938 100000\n55588 83280\n9516 14310\n72172 100000\n52760 79025\n27336 40985\n86911 100000\n41375 61955\n63206 94787\n71651 100000\n53182 79654\n53043 79450\n86830 100000\n71210 100000\n7933 11948\n18493 27762\n37086 55526\n12352 18593\n88043 100000\n842 1256\n13654 20551\n83202 100000\n71397 100000\n4213 6359\n87990 100000\n10316 15522\n44140 66070\n40991 61383\n97622 100000\n98093 100000\n13370 20129\n7750 11675\n80792 100000\n15901 23889\n65629 98441\n67826 100000\n32210 48244\n9369 14094\n84375 100000\n16694 25056\n64773 97154\n97948 100000\n49489 74156\n139 201\n75000 100000\n34677 51929\n30157 45183\n18371 27581\n98983 100000\n99393 100000\n40529 60682\n62561 93828\n1335 1993\n60561 90797\n41015 61415\n97447 100000\n31231 46796\n30502 45709\n64318 96476\n12906 19427\n135 195\n33996 50932\n28460 42669\n69173 100000\n75422 100000\n72764 100000\n51624 77341\n74837 100000\n7588 11433\n35615 53321\n72924 100000\n33041 49498\n56699 84968\n35070 52511\n23104 34690\n18791 28210\n14220 21405\n47788 71549\n49589 74297\n8344 12559\n23030 34583\n74811 100000\n62171 93236\n32648 48901\n7616 11474\n48549 72717\n173 254\n73047 100000\n59425 89092\n42749 64016\n5891 8902\n16357 24562\n49005 73411\n42000 62893\n23302 34982\n53888 80723\n10221 15377\n64405 96603\n28360 42520\n73679 100000\n77856 100000\n39628 59305\n4496 6783\n8536 12840\n42264 63295\n45224 67704\n97025 100000\n12726 19153\n98055 100000\n69938 100000\n74779 100000\n70870 100000\n63486 95205\n32880 49260\n20188 30331\n91737 100000\n18167 27274\n71483 100000\n56681 84943\n95457 100000\n3396 5133\n11300 17028\n29971 44901\n1728 2596\n68143 100000\n38727 57957\n10898 16411\n4884 7379\n80132 100000\n2806 4239\n30124 45133\n4227 6383\n59181 88701\n49845 74686\n70205 100000\n82061 100000\n10472 15757\n36950 55316\n77299 100000\n13356 20108\n83774 100000\n83005 100000\n9034 13580\n93754 100000\n7658 11537\n29904 44806\n32295 48371\n66469 99699\n70907 100000\n79786 100000\n22992 34525\n21252 31919\n57675 86442\n13093 19704\n16770 25173\n52203 78188\n35268 52799\n16484 24754\n35842 53653\n96951 100000\n66834 100000\n17902 26877\n44325 66353\n2903 4393\n75062 100000\n60387 90537\n23712 35596\n53579 80252\n59394 89039\n94393 100000\n37523 56169\n83979 100000\n5034 7597\n94099 100000\n93686 100000\n24715 37087\n7556 11388\n12324 18547\n93878 100000\n67723 100000\n3843 5791\n81741 100000\n92422 100000\n9327 14028\n9019 13561\n30354 45484\n55748 83522\n87436 100000\n96394 100000\n97357 100000\n8637 12995\n84823 100000\n82600 100000\n78050 100000\n97931 100000\n83148 100000\n16035 24079\n71175 100000\n99787 100000\n76340 100000\n45881 68692\n13694 20607\n70238 100000\n80382 100000\n88434 100000\n5053 7628\n79864 100000\n89508 100000\n51128 76601\n19511 29318\n54197 81191\n63949 95915\n43562 65217\n7151 10780\n75853 100000\n55315 82862\n81396 100000\n42819 64118\n56017 83929\n11091 16707\n29415 44079\n9288 13969\n45033 67419\n63517 95252\n75487 100000\n60877 91263\n23760 35664\n93372 100000\n30817 46178\n44732 66978\n72742 100000\n81985 100000\n19890 29884\n62807 94197\n22793 34227\n70134 100000\n14187 21357\n63012 94499\n66395 99580\n30071 45054\n54323 81378\n46129 69054\n98474 100000\n69460 100000\n88287 100000\n25737 38614\n45052 67451\n35391 52980\n35394 52985\n59855 89740\n96398 100000\n32462 48614\n17534 26328\n72185 100000\n29621 44390\n67175 100000\n10260 15440\n46200 69162\n70272 100000\n89579 100000\n69486 100000\n86687 100000\n32166 48179\n48802 73112\n11189 16860\n37633 56332\n82508 100000\n70744 100000\n53071 79496\n33877 50751\n33565 50283\n63816 95721\n82475 100000\n12667 19068\n8085 12173\n23596 35423\n98227 100000\n48900 73257\n28528 42771\n2979 4514\n45454 68048\n16833 25269\n60643 90926\n76287 100000\n19674 29556\n82593 100000\n89021 100000\n76799 100000\n19083 28663\n12866 19367\n57175 85677\n41819 62637\n17818 26751\n34212 51261\n57053 85500\n86797 100000\n71516 100000\n86274 100000\n23550 35355\n93361 100000\n50640 75870\n47204 70677\n24782 37178\n47567 71220\n72921 100000\n96536 100000\n67199 100000\n89057 100000\n76151 100000\n72787 100000\n35658 53386\n38399 57493\n76790 100000\n77946 100000\n97096 100000\n94823 100000\n64294 96439\n72871 100000\n14934 22470\n70257 100000\n60423 90590\n75142 100000\n94200 100000\n14723 22147\n97463 100000\n94534 100000\n35857 53676\n53106 79547\n10041 15107\n79914 100000\n85419 100000\n2857 4322\n33966 50888\n14558 21896\n3798 5723\n10634 16004\n24878 37323\n32479 48641\n55736 83504\n47512 71140\n90119 100000\n16387 24607\n23827 35759\n34251 51318\n11974 18016\n84179 100000\n93418 100000\n24012 36034\n25299 37948\n92161 100000\n2509 3800\n1828 2757\n72435 100000\n50364 75458\n75590 100000\n72814 100000\n12787 19249\n14183 21351\n34449 51606\n3203 4847\n78476 100000\n73741 100000\n60953 91374\n69458 100000\n19669 29549\n34361 51480\n53655 80367\n33305 49894\n70921 100000\n2090 3161\n66732 100000\n30922 46329\n49390 74004\n51445 77082\n27478 41200\n80644 100000\n66089 99132\n61178 91722\n37840 56641\n88466 100000\n20793 31240\n9989 15025\n77968 100000\n91403 100000\n48617 72824\n95312 100000\n46741 69983\n24146 36237\n50241 75273\n95137 100000\n17666 26531\n41392 61983\n96122 100000\n86045 100000\n28597 42877\n2141 3235\n59919 89838\n73595 100000\n91893 100000\n62716 94064\n66680 100000\n81356 100000\n76433 100000\n34383 51513\n84152 100000\n231 345\n80407 100000\n46853 70137\n25899 38859\n83610 100000\n72994 100000\n26805 40186\n13414 20193\n28428 42622\n16056 24111\n26416 39629\n14293 21507\n18895 28377\n69269 100000\n82699 100000\n73480 100000\n40368 60438\n82800 100000\n56014 83925\n7493 11291\n78059 100000\n8399 12639\n2 3\n48647 72869\n56620 84850\n49412 74040\n23091 34670\n40019 59911\n61736 92567\n76198 100000\n49929 74810\n11144 16790\n80832 100000\n79733 100000\n88460 100000\n59963 89904\n77223 100000\n66918 100000\n522 777\n95416 100000\n16030 24071\n32890 49277\n72620 100000\n95171 100000\n68303 100000\n3966 5974\n76988 100000\n41832 62660\n95828 100000\n43145 64601\n13289 20007\n86664 100000\n41298 61845\n78181 100000\n20340 30557\n435 649\n14982 22540\n24123 36201\n91277 100000\n99851 100000\n9157 13770\n13864 20856\n50836 76164\n58902 88283\n59207 88743\n19256 28934\n80169 100000\n94018 100000\n71276 100000\n49980 74889\n91497 100000\n2987 4525\n90366 100000\n42581 63765\n12032 18103\n67311 100000\n36154 54128\n4605 6954\n5074 7665\n92562 100000\n14454 21742\n50809 76125\n5812 8774\n42236 63254\n57071 85527\n33137 49636\n92731 100000\n59930 89854\n83478 100000\n61655 92447\n36457 54598\n14577 21927\n34740 52024\n63975 95949\n30392 45545\n64961 97447\n76587 100000\n81190 100000\n73961 100000\n10583 15923\n95360 100000\n76763 100000\n82182 100000\n45629 68312\n86329 100000\n99475 100000\n23291 34964\n65898 98850\n83023 100000\n10619 15980\n22978 34502\n61564 92313\n65261 97905\n50600 75810\n14513 21831\n5221 7882\n92894 100000\n73399 100000\n35812 53603\n95025 100000\n58171 87192\n32896 49287\n10 14\n59607 89368\n23768 35675\n87401 100000\n56297 84350\n44476 66581\n70963 100000\n13542 20377\n94502 100000\n86923 100000\n77796 100000\n85374 100000\n33678 50461\n31000 46443\n57579 86303\n70602 100000\n57751 86560\n6245 9419\n33429 50084\n74368 100000\n55456 83081\n44368 66419\n80103 100000\n19517 29328\n94541 100000\n45951 68792\n4745 7167\n40986 61374\n33493 50180\n19281 28972\n32926 49331\n62436 93641\n7975 12014\n716 1070\n36547 54730\n47378 70944\n66675 100000\n63453 95150\n71369 100000\n76447 100000\n62482 93710\n63256 94865\n52254 78264\n11397 17170\n64352 96528\n65782 98673\n93486 100000\n98676 100000\n56242 84272\n8542 12849\n46496 69616\n86778 100000\n93137 100000\n32005 47948\n15412 23175\n57423 86056\n13317 20046\n77423 100000\n38711 57936\n45465 68066\n22105 33203\n59349 88967\n46259 69261\n94176 100000\n61435 92110\n56984 85397\n99197 100000\n18987 28516\n40007 59893\n3697 5570\n78920 100000\n99090 100000\n46024 68898\n95187 100000\n95224 100000\n92721 100000\n17260 25907\n90919 100000\n19596 29444\n54175 81158\n1588 2380\n63413 95093\n1000 1499\n18961 28479\n99601 100000\n58462 87622\n91177 100000\n19737 29647\n46058 68948\n26623 39921\n82094 100000\n40634 60841\n27168 40727\n57391 86003\n33609 50355\n53436 80038\n59059 88515\n40476 60603\n10242 15411\n31734 47543\n25886 38840\n83805 100000\n45095 67517\n37704 56440\n94594 100000\n16396 24619\n55443 83063\n18410 27636\n5309 8012\n23521 35312\n54453 81575\n98226 100000\n43824 65599\n6763 10217\n11794 17763\n88968 100000\n30117 45122\n50363 75457\n29799 44649\n66943 100000\n31203 46751\n35847 53660\n45023 67405\n39604 59268\n74796 100000\n83075 100000\n88585 100000\n32985 49414\n84133 100000\n62187 93258\n99142 100000\n77770 100000\n62725 94080\n59333 88942\n73077 100000\n46798 70062\n21017 31566\n70955 100000\n98844 100000\n5868 8864\n38684 57894\n75085 100000\n13718 20643\n27773 41636\n3447 5206\n28272 42393\n83547 100000\n14540 21870\n55191 82675\n137 198\n64230 96342\n63877 95814\n64451 96668\n50371 75468\n5441 8212\n55753 83530\n36832 55146\n53226 79717\n31816 47665\n76613 100000\n96754 100000\n91548 100000\n46487 69600\n92926 100000\n60124 90138\n59461 89139\n66893 100000\n54464 81590\n77419 100000\n50074 75029\n4284 6467\n45492 68109\n67790 100000\n93628 100000\n73974 100000\n30087 45076\n54854 82173\n12819 19294\n91723 100000\n71525 100000\n56251 84283\n30629 45903\n35439 53057\n25798 38708\n77322 100000\n69027 100000\n26804 40184\n27098 40622\n33319 49915\n43006 64394\n73661 100000\n58855 88214\n62499 93734\n7035 10615\n82207 100000\n35687 53425\n84140 100000\n18855 28312\n43613 65292\n99474 100000\n27645 41448\n67378 100000\n73329 100000\n75996 100000\n29766 44598\n22596 33937\n91194 100000\n92843 100000\n47724 71449\n69570 100000\n81428 100000\n94927 100000\n79963 100000\n75104 100000\n70466 100000\n8780 13207\n71853 100000\n66020 99026\n36225 54238\n20235 30402\n75447 100000\n28864 43268\n68380 100000\n72625 100000\n95605 100000\n82611 100000\n77697 100000\n87970 100000\n16736 25114\n1482 2217\n5200 7849\n61952 92906\n90445 100000\n83561 100000\n54261 81286\n17553 26354\n32715 49006\n58517 87704\n37719 56461\n34412 51554\n60896 91290\n66147 99219\n28692 43015\n45523 68155\n15709 23606\n35263 52791\n60988 91431\n6418 9680\n66604 99906\n38239 57244\n98450 100000\n85704 100000\n1794 2704\n36970 55350\n70915 100000\n99843 100000\n6746 10189\n14711 22132\n26052 39083\n77484 100000\n64821 97233\n10735 16160\n38862 58175\n89511 100000\n2644 4009\n84959 100000\n80043 100000\n37713 56453\n63872 95805\n56553 84742\n57666 86428\n74173 100000\n2707 4101\n97043 100000\n98574 100000\n70380 100000\n95956 100000\n34517 51706\n14205 21382\n93047 100000\n58815 88154\n61908 92830\n962 1441\n16062 24120\n9943 14957\n38321 57371\n14829 22307\n96831 100000\n81947 100000\n79169 100000\n7947 11970\n82056 100000\n6667 10062\n78580 100000\n56702 84973\n66835 100000\n34474 51644\n82939 100000\n34272 51350\n93587 100000\n92680 100000\n96385 100000\n97455 100000\n80115 100000\n76347 100000\n41811 62625\n13039 19626\n79320 100000\n8722 13120\n30027 44988\n94666 100000\n68076 100000\n33829 50679\n56671 84927\n49314 73877\n37225 55732\n6989 10553\n71515 100000\n57470 86123\n92095 100000\n39857 59665\n88977 100000\n90890 100000\n96181 100000\n84645 100000\n4978 7518\n3001 4548\n22372 33608\n44031 65902\n67814 100000\n31136 46644\n19944 29967\n22193 33340\n42856 64171\n39120 58563\n60864 91243\n49538 74224\n4770 7205\n20246 30421\n43173 64643\n83744 100000\n36217 54225\n72427 100000\n33805 50641\n25479 38225\n59436 89109\n53495 80123\n63104 94635\n66926 100000\n76776 100000\n49001 73405\n7696 11591\n36066 53994\n49456 74104\n67339 100000\n53947 80813\n40723 60970\n65048 97576\n7477 11266\n73647 100000\n15146 22779\n13072 19676\n92930 100000\n75084 100000\n42561 63737\n49785 74594\n5595 8436\n52796 79081\n31937 47845\n21409 32153\n91405 100000\n1782 2685\n89749 100000\n64344 96517\n8899 13385\n65120 97689\n1977 2985\n82251 100000\n21164 31788\n35270 52803\n5787 8734\n29908 44811\n59586 89335\n68446 100000\n46345 69384\n82744 100000\n64098 96138\n84883 100000\n6637 10015\n36164 54142\n47167 70618\n21695 32583\n46536 69679\n13929 20953\n84551 100000\n86046 100000\n73908 100000\n91824 100000\n14291 21504\n97830 100000\n97306 100000\n59805 89666\n97610 100000\n59879 89778\n25848 38786\n99060 100000\n15860 23827\n77072 100000\n68223 100000\n11106 16730\n25885 38839\n70545 100000\n24600 36916\n63981 95960\n53895 80733\n13206 19876\n89346 100000\n74494 100000\n81300 100000\n40297 60325\n44448 66533\n91523 100000\n49572 74271\n41123 61576\n55841 83660\n72396 100000\n99943 100000\n11137 16777\n14887 22397\n61620 92394\n85019 100000\n45714 68434\n36495 54657\n70267 100000\n43518 65153\n2764 4183\n4013 6048\n57255 85798\n62376 93541\n29803 44656\n39514 59136\n64627 96934\n93774 100000\n61872 92775\n37141 55608\n46080 68984\n32197 48224\n94474 100000\n6186 9336\n51373 76973\n91255 100000\n81639 100000\n72372 100000\n7290 10981\n34771 52073\n15293 22994\n44383 66442\n56627 84860\n73162 100000\n43872 65671\n1650 2474\n99775 100000\n90012 100000\n49804 74623\n31788 47623\n58239 87286\n25412 38121\n91745 100000\n78044 100000\n52726 78975\n66686 100000\n95893 100000\n50166 75158\n56498 84656\n56348 84430\n2150 3252\n43275 64800\n51646 77371\n97226 100000\n13982 21039\n14063 21167\n51692 77439\n55536 83200\n40230 60230\n49004 73410\n47765 71513\n78627 100000\n43444 65045\n89060 100000\n27312 40945\n10034 15095\n2869 4340\n85079 100000\n78939 100000\n56906 85277\n63280 94900\n26956 40408\n66002 99000\n16426 24664\n15196 22854\n46189 69147\n33385 50017\n41262 61792\n53614 80306\n35342 52907\n90938 100000\n98314 100000\n35343 52909\n46166 69111\n94057 100000\n14381 21643\n34408 51549\n3443 5200\n69325 100000\n42541 63709\n39841 59640\n62112 93147\n79234 100000\n95138 100000\n25951 38934\n91954 100000\n46098 69014\n93192 100000\n8145 12255\n34714 51986\n38410 57507\n7389 11132\n6940 10480\n86011 100000\n48241 72246\n48995 73396\n12887 19398\n11501 17322\n75526 100000\n29151 43692\n39586 59242\n43430 65026\n10281 15472\n36531 54708\n18522 27805\n75156 100000\n71423 100000\n45178 67637\n24009 36029\n24044 36080\n68936 100000\n6304 9510\n81402 100000\n85331 100000\n17097 25662\n97199 100000\n73756 100000\n99719 100000\n35249 52769\n11224 16915\n17992 27010\n7232 10903\n70058 100000\n68790 100000\n80006 100000\n45275 67782\n22174 33306\n75005 100000\n57739 86544\n53702 80437\n57483 86145\n79357 100000\n78109 100000\n49515 74193\n36455 54594\n77376 100000\n17331 26017\n15473 23260\n67546 100000\n93421 100000\n42059 62986\n92265 100000\n50746 76031\n55043 82447\n24043 36078\n59949 89884\n11061 16661\n23735 35628\n57481 86142\n66599 99898\n93354 100000\n82179 100000\n52739 78994\n90510 100000\n62564 93832\n24623 36953\n3957 5962\n70607 100000\n12596 18963\n26273 39418\n57028 85462\n9441 14197\n12635 19023\n82665 100000\n26448 39673\n71774 100000\n33201 49739\n84492 100000\n46730 69966\n38828 58118\n66338 99506\n47227 70714\n14013 21086\n83034 100000\n92569 100000\n71388 100000\n83534 100000\n43356 64918\n46340 69378\n21712 32608\n74001 100000\n45702 68418\n44225 66200\n71223 100000\n6711 10135\n72947 100000\n17769 26679\n77618 100000\n28064 42079\n30029 44992\n5448 8222\n89494 100000\n37387 55966\n68410 100000\n65442 98170\n25687 38537\n45561 68208\n55887 83732\n29322 43940\n50024 74955\n95986 100000\n14521 21844\n55782 83572\n12220 18392\n97015 100000\n56005 83912\n19319 29028\n7012 10587\n81954 100000\n50104 75071\n36802 55106\n48631 72846\n47686 71398\n99619 100000\n90631 100000\n58897 88276\n90453 100000\n45381 67935\n48025 71915\n1669 2504\n78544 100000\n90138 100000\n5207 7862\n12529 18862\n14482 21782\n90627 100000\n66526 99788\n58415 87554\n58279 87351\n18688 28052\n49557 74250\n43284 64813\n40488 60619\n67974 100000\n24735 37115\n78652 100000\n82995 100000\n57539 86237\n72199 100000\n19902 29902\n77567 100000\n61850 92742\n36928 55289\n39998 59877\n63860 95788\n21219 31869\n67472 100000\n99809 100000\n38526 57676\n1114 1670\n91876 100000\n4655 7032\n75594 100000\n33621 50377\n27588 41364\n49672 74423\n45746 68483\n65777 98665\n89418 100000\n12886 19396\n68719 100000\n59967 89909\n69749 100000\n51832 77646\n82641 100000\n24882 37329\n84055 100000\n6048 9132\n31813 47660\n50956 76345\n12088 18188\n3531 5329\n11251 16954\n91871 100000\n35267 52797\n36032 53945\n75869 100000\n26115 39176\n27463 41180\n37150 55621\n7601 11450\n27579 41352\n64548 96816\n15433 23202\n78496 100000\n42679 63908\n61865 92764\n39491 59103\n18962 28480\n91220 100000\n41036 61448\n510 759\n45059 67460\n28833 43218\n15215 22879\n13374 20134\n19150 28770\n32338 48437\n99629 100000\n33014 49456\n15279 22973\n81244 100000\n84970 100000\n96765 100000\n63158 94716\n76786 100000\n17068 25618\n97575 100000\n51642 77366\n56207 84218\n99681 100000\n19246 28919\n67250 100000\n64852 97279\n90997 100000\n88402 100000\n40389 60466\n48101 72030\n23731 35623\n31379 47012\n19725 29629\n40674 60899\n84803 100000\n5230 7893\n73714 100000\n56347 84429\n57642 86393\n9382 14113\n37052 55472\n29101 43620\n59545 89273\n35837 53646\n87615 100000\n74065 100000\n7788 11726\n42725 63981\n26634 39936\n54668 81899\n39557 59198\n50920 76289\n11056 16656\n62030 93024\n20315 30519\n851 1266\n55071 82491\n53988 80877\n72694 100000\n74574 100000\n24798 37200\n21240 31899\n6162 9303\n96508 100000\n6011 9080\n45538 68173\n17556 26358\n13987 21046\n20243 30416\n37006 55402\n13873 20871\n50617 75834\n1022 1531\n41309 61863\n45345 67881\n20580 30920\n2667 4036\n97869 100000\n37787 56570\n59351 88971\n4207 6350\n28828 43210\n47166 70616\n51394 77005\n16008 24041\n79673 100000\n99593 100000\n84774 100000\n32218 48256\n62137 93182\n23889 35846\n17674 26545\n1326 1981\n18219 27354\n96503 100000\n26840 40237\n54205 81202\n44739 66989\n150 218\n73797 100000\n17765 26673\n59886 89789\n58976 88393\n69875 100000\n68318 100000\n65905 98862\n66727 100000\n62700 94038\n90484 100000\n93667 100000\n77206 100000\n40090 60022\n68271 100000\n12050 18133\n10503 15801\n36193 54190\n5762 8692\n38605 57787\n3246 4908\n19685 29571\n14110 21244\n48321 72369\n36934 55296\n21896 32883\n38731 57964\n26835 40229\n98761 100000\n75890 100000\n7606 11458\n3176 4809\n70753 100000\n47348 70896\n70325 100000\n88586 100000\n88939 100000\n60199 90249\n46688 69906\n38589 57763\n77094 100000\n65626 98438\n24018 36043\n55987 83882\n36117 54069\n1141 1712\n96500 100000\n75855 100000\n42454 63579\n88835 100000\n38696 57916\n51553 77241\n96947 100000\n8117 12217\n12634 19022\n93209 100000\n60450 90630\n6376 9618\n70822 100000\n83502 100000\n73062 100000\n84401 100000\n16321 24510\n24039 36072\n74872 100000\n53348 79907\n84417 100000\n87347 100000\n4775 7213\n98315 100000\n13326 20058\n17287 25947\n91515 100000\n79542 100000\n23363 35072\n83401 100000\n54165 81145\n26109 39168\n10061 15136\n61270 91862\n82039 100000\n12364 18612\n56367 84458\n96086 100000\n93594 100000\n78586 100000\n80519 100000\n25659 38493\n24390 36606\n81294 100000\n14033 21119\n32389 48505\n32614 48851\n20832 31298\n86610 100000\n30596 45856\n26599 39889\n18096 27170\n32113 48102\n40211 60204\n27082 40600\n99867 100000\n8205 12348\n46685 69902\n42100 63047\n7365 11096\n71582 100000\n83060 100000\n12951 19498\n28355 42513\n13037 19623\n34828 52156\n13152 19796\n26185 39286\n14470 21764\n10598 15949\n88667 100000\n71619 100000\n80273 100000\n87573 100000\n64407 96607\n82884 100000\n83554 100000\n40004 59887\n26505 39754\n43201 64686\n58940 88337\n81076 100000\n35288 52827\n52911 79257\n30185 45224\n17269 25918\n52127 78073\n43510 65142\n60878 91265\n98349 100000\n84033 100000\n66259 99383\n43049 64458\n28249 42359\n58343 87446\n23875 35828\n10027 15084\n72663 100000\n24923 37386\n353 531\n44081 65976\n68225 100000\n21009 31554\n80601 100000\n64009 96000\n92063 100000\n34196 51238\n80212 100000\n7019 10595\n61979 92951\n73482 100000\n96019 100000\n85130 100000\n44524 66650\n4233 6392\n32216 48253\n77395 100000\n96918 100000\n57271 85824\n23598 35425\n67591 100000\n72289 100000\n97138 100000\n33928 50827\n16255 24416\n71994 100000\n52081 78007\n83975 100000\n88980 100000\n773 1156\n61250 91832\n11129 16763\n82764 100000\n67896 100000\n66183 99268\n83154 100000\n59588 89339\n84296 100000\n69071 100000\n9257 13927\n47747 71489\n66334 99501\n21160 31781\n708 1057\n79703 100000\n27675 41492\n17481 26246\n91224 100000\n29601 44360\n77456 100000\n86563 100000\n43367 64933\n62247 93351\n44112 66025\n22056 33126\n23859 35804\n98416 100000\n50955 76344\n747 1118\n26152 39233\n29424 44093\n29590 44345\n98440 100000\n99008 100000\n68639 100000\n80724 100000\n27401 41084\n7799 11744\n4302 6494\n68114 100000\n10837 16321\n5843 8820\n33707 50501\n28091 42123\n28661 42968\n19303 29005\n76256 100000\n40299 60329\n82250 100000\n55359 82931\n61652 92442\n75693 100000\n35992 53883\n25153 37730\n36722 54992\n67625 100000\n74838 100000\n145 209\n76076 100000\n81168 100000\n76110 100000\n31179 46711\n85185 100000\n53197 79675\n39295 58816\n57253 85794\n2873 4347\n87520 100000\n32628 48872\n2151 3254\n94969 100000\n9859 14834\n27104 40631\n12178 18324\n51783 77571\n46660 69863\n48766 73053\n4900 7400\n36078 54013\n92838 100000\n87753 100000\n77488 100000\n24797 37199\n94182 100000\n29791 44635\n28306 42441\n89654 100000\n70541 100000\n96147 100000\n46572 69737\n96724 100000\n93317 100000\n21431 32185\n5101 7709\n82206 100000\n30148 45171\n87545 100000\n38792 58061\n69742 100000\n84331 100000\n82155 100000\n2464 3735\n40214 60207\n55953 83831\n82587 100000\n26795 40173\n666 995\n79771 100000\n56030 83950\n7524 11342\n37417 56012\n27700 41527\n48633 72850\n99595 100000\n73402 100000\n51379 76983\n11168 16829\n71688 100000\n68862 100000\n55022 82418\n97182 100000\n98100 100000\n38861 58173\n93864 100000\n22477 33763\n9405 14141\n20027 30088\n1293 1935\n21143 31760\n75117 100000\n30618 45887\n37847 56653\n38873 58190\n33337 49941\n38725 57954\n80512 100000\n57352 85946\n3376 5102\n18874 28343\n54355 81428\n91474 100000\n51757 77536\n74196 100000\n95316 100000\n86849 100000\n56194 84201\n53304 79840\n76789 100000\n94593 100000\n79093 100000\n25616 38428\n52293 78322\n38413 57512\n40707 60946\n33125 49619\n20411 30670\n16753 25144\n4498 6785\n37440 56045\n72403 100000\n82403 100000\n21602 32444\n58244 87295\n99239 100000\n9156 13768\n74912 100000\n77429 100000\n40221 60216\n72426 100000\n52139 78088\n23115 34705\n87914 100000\n65374 98067\n70009 100000\n55959 83841\n43403 64987\n41496 62139\n49559 74252\n57563 86275\n89796 100000\n99414 100000\n75256 100000\n80193 100000\n34797 52113\n9151 13760\n16185 24311\n49114 73579\n45582 68243\n1554 2327\n83624 100000\n27433 41133\n61528 92256\n33233 49787\n73664 100000\n47190 70653\n10770 16216\n4691 7083\n87212 100000\n81714 100000\n30457 45643\n86109 100000\n79177 100000\n27346 41001\n78361 100000\n16645 24980\n68349 100000\n52927 79281\n41711 62467\n82554 100000\n92481 100000\n62105 93136\n1170 1755\n43536 65178\n75951 100000\n33814 50655\n29816 44676\n57417 86047\n43362 64926\n90132 100000\n81108 100000\n83869 100000\n76477 100000\n34427 51577\n86462 100000\n92915 100000\n81622 100000\n60010 89971\n86422 100000\n14994 22560\n46520 69655\n32011 47955\n48937 73310\n4703 7101\n32559 48762\n96196 100000\n54412 81511\n80290 100000\n52369 78438\n9062 13617\n1110 1664\n97810 100000\n43655 65356\n58163 87181\n92072 100000\n93100 100000\n97652 100000\n56493 84647\n79294 100000\n92602 100000\n48972 73364\n16931 25420\n72583 100000\n77595 100000\n2654 4021\n9348 14060\n79964 100000\n1183 1772\n27534 41283\n49330 73904\n72574 100000\n71098 100000\n44338 66373\n1627 2439\n92182 100000\n79826 100000\n86370 100000\n83961 100000\n95315 100000\n18582 27892\n43918 65736\n60002 89960\n95101 100000\n44308 66326\n67742 100000\n84866 100000\n55718 83476\n89608 100000\n11858 17853\n93504 100000\n95478 100000\n77201 100000\n28402 42584\n34928 52300\n37331 55890\n11332 17080\n32419 48549\n5194 7841\n10427 15691\n3516 5305\n36311 54370\n46920 70238\n23989 36000\n21835 32795\n70636 100000\n66475 99707\n9522 14319\n97902 100000\n95900 100000\n12832 19314\n27518 41259\n72558 100000\n45592 68258\n9181 13808\n20181 30319\n22084 33169\n9172 13794\n41714 62471\n59675 89468\n8027 12089\n72652 100000\n38208 57197\n35759 53529\n96954 100000\n65682 98515\n9751 14664\n61942 92887\n80155 100000\n11634 17520\n46615 69799\n12821 19297\n23142 34750\n46075 68974\n21979 33006\n71637 100000\n16688 25047\n88223 100000\n96303 100000\n42907 64248\n49016 73427\n36135 54100\n56835 85176\n31897 47786\n26648 39954\n87120 100000\n30920 46327\n5966 9017\n85493 100000\n48835 73159\n76969 100000\n32285 48358\n70173 100000\n64167 96242\n49709 74477\n74300 100000\n41442 62060\n4417 6665\n32162 48173\n33708 50502\n46916 70232\n38200 57186\n66552 99828\n25596 38400\n93582 100000\n17913 26892\n28458 42667\n47257 70761\n89376 100000\n57523 86212\n5599 8442\n57685 86461\n81088 100000\n41818 62635\n1192 1785\n62674 93997\n6875 10386\n36202 54204\n4592 6935\n50557 75748\n16048 24098\n65056 97589\n37710 56449\n57966 86881\n15128 22750\n873 1297\n75605 100000\n96395 100000\n49359 73951\n95877 100000\n70393 100000\n23951 35942\n18692 28059\n58324 87419\n84466 100000\n69382 100000\n86027 100000\n99070 100000\n79748 100000\n40562 60733\n6577 9926\n23406 35135\n16376 24590\n13893 20901\n24693 37056\n58151 87161\n36772 55064\n40062 59982\n71781 100000\n53005 79392\n90395 100000\n75591 100000\n77568 100000\n79208 100000\n85880 100000\n67187 100000\n6960 10512\n84229 100000\n20689 31083\n76325 100000\n40489 60620\n82029 100000\n9410 14148\n89574 100000\n40039 59942\n84860 100000\n69563 100000\n25199 37802\n51890 77726\n56611 84837\n40637 60844\n58705 87984\n48860 73199\n63912 95863\n2824 4269\n13778 20725\n453 676\n95982 100000\n83995 100000\n83388 100000\n56780 85089\n95075 100000\n30575 45821\n3249 4911\n59752 89591\n14171 21336\n91664 100000\n61694 92506\n8859 13328\n51579 77278\n89797 100000\n16173 24291\n49584 74289\n36591 54797\n59216 88758\n28229 42332\n60357 90489\n60079 90077\n2095 3168\n36882 55222\n3850 5802\n33919 50815\n5724 8630\n50678 75929\n89622 100000\n22909 34401\n2480 3760\n72419 100000\n34549 51747\n4535 6841\n90651 100000\n31989 47926\n71288 100000\n87407 100000\n74652 100000\n16815 25244\n2215 3350\n91109 100000\n27124 40661\n62708 94050\n14194 21367\n30221 45281\n11115 16744\n85490 100000\n21667 32542\n60969 91399\n24286 36443\n63165 94725\n75775 100000\n86714 100000\n51861 77684\n5562 8388\n83141 100000\n78693 100000\n34603 51824\n38809 58087\n50608 75822\n99600 100000\n29226 43795\n75877 100000\n19848 29817\n62450 93664\n86309 100000\n41310 61864\n18649 27994\n70428 100000\n74854 100000\n44059 65944\n7043 10625\n31953 47869\n14555 21893\n43985 65834\n84156 100000\n11790 17756\n97515 100000\n87792 100000\n72778 100000\n12705 19124\n58894 88272\n43295 64832\n79710 100000\n98146 100000\n92459 100000\n25214 37823\n46445 69535\n26135 39208\n18825 28265\n70512 100000\n42296 63345\n66193 99285\n54606 81801\n14797 22261\n72708 100000\n98842 100000\n60725 91050\n99563 100000\n7816 11770\n82881 100000\n27034 40527\n14569 21915\n12327 18551\n30182 45221\n69014 100000\n96470 100000\n21202 31844\n85850 100000\n62721 94074\n63000 94483\n3712 5590\n99321 100000\n40928 61290\n87509 100000\n97716 100000\n9732 14632\n11782 17745\n12760 19206\n88047 100000\n225 337\n36886 55228\n5847 8827\n15052 22641\n45698 68413\n40492 60625\n20033 30098\n48862 73202\n59757 89600\n57537 86233\n38006 56894\n29745 44568\n92455 100000\n29127 43657\n85519 100000\n85267 100000\n25758 38645\n87028 100000\n6765 10219\n58746 88049\n94890 100000\n14179 21346\n27672 41488\n19255 28933\n34289 51372\n73824 100000\n43911 65728\n45031 67417\n99404 100000\n23587 35408\n93093 100000\n36589 54793\n76980 100000\n90763 100000\n2491 3775\n57979 86902\n62063 93069\n6804 10278\n5500 8299\n9179 13805\n22257 33436\n68266 100000\n54116 81073\n9401 14137\n14008 21078\n18443 27687\n64137 96195\n30402 45560\n74370 100000\n79741 100000\n84889 100000\n34389 51522\n29985 44921\n60568 90807\n72571 100000\n73210 100000\n78110 100000\n81783 100000\n33515 50210\n18455 27704\n98205 100000\n2914 4411\n13786 20735\n20589 30935\n52859 79176\n77791 100000\n68426 100000\n63459 95161\n26236 39363\n69353 100000\n93012 100000\n86427 100000\n24577 36882\n38774 58031\n77852 100000\n42941 64298\n2823 4267\n49049 73475\n37788 56572\n81932 100000\n21200 31840\n42176 63167\n96547 100000\n91356 100000\n61090 91589\n97573 100000\n80952 100000\n52976 79348\n19832 29791\n26491 39733\n39770 59519\n65669 98496\n16403 24631\n933 1395\n69798 100000\n25249 37874\n29059 43559\n78753 100000\n74231 100000\n94423 100000\n53083 79513\n21100 31697\n42063 62992\n95337 100000\n79635 100000\n37529 56179\n20015 30073\n94437 100000\n42488 63632\n21810 32756\n87393 100000\n84027 100000\n52459 78582\n35451 53072\n44384 66444\n53884 80716\n65181 97785\n34159 51181\n87087 100000\n87258 100000\n30736 46062\n54877 82206\n63179 94746\n31438 47095\n4625 6987\n49144 73625\n85668 100000\n81157 100000\n76659 100000\n71557 100000\n16486 24758\n53401 79989\n61350 91977\n25509 38267\n70917 100000\n28951 43398\n10576 15914\n73535 100000\n40077 60001\n78242 100000\n51295 76857\n2092 3164\n72421 100000\n2737 4146\n11862 17859\n66450 99667\n7381 11120\n79300 100000\n33595 50331\n85536 100000\n74620 100000\n80251 100000\n94847 100000\n85733 100000\n67294 100000\n46124 69047\n64045 96058\n91718 100000\n45788 68548\n2531 3835\n1747 2624\n68313 100000\n11913 17928\n7522 11338\n74777 100000\n67552 100000\n34616 51843\n43905 65721\n78381 100000\n86498 100000\n15432 23201\n4941 7462\n43729 65466\n66321 99480\n34211 51259\n62300 93435\n35698 53443\n51441 77076\n70188 100000\n82749 100000\n68986 100000\n63380 95045\n98709 100000\n38210 57200\n75170 100000\n72249 100000\n66011 99014\n31641 47401\n78743 100000\n13945 20977\n84115 100000\n98298 100000\n73200 100000\n40431 60532\n77833 100000\n80594 100000\n39495 59108\n19996 30044\n90184 100000\n66220 99328\n81041 100000\n45250 67742\n79725 100000\n54946 82309\n55475 83107\n68708 100000\n90787 100000\n70181 100000\n84188 100000\n85375 100000\n18126 27216\n39358 58911\n65371 98063\n34283 51364\n57409 86032\n70324 100000\n6611 9977\n67217 100000\n79613 100000\n9307 13997\n43146 64602\n65906 98864\n69968 100000\n73384 100000\n82392 100000\n58419 87560\n72191 100000\n42610 63808\n57169 85670\n95875 100000\n85235 100000\n52699 78930\n86468 100000\n68133 100000\n87583 100000\n28531 42776\n47682 71393\n83285 100000\n24106 36173\n40222 60217\n18171 27279\n57464 86114\n58146 87155\n70492 100000\n23211 34851\n22663 34032\n22098 33191\n62393 93566\n58261 87324\n16344 24543\n70484 100000\n34556 51756\n98501 100000\n66823 100000\n31030 46487\n26726 40070\n20344 30564\n98666 100000\n4068 6138\n35069 52510\n82293 100000\n93014 100000\n48143 72091\n68465 100000\n90768 100000\n97534 100000\n82586 100000\n56453 84587\n41865 62709\n88505 100000\n55708 83460\n95120 100000\n74023 100000\n49953 74848\n41415 62019\n7233 10904\n81691 100000\n26290 39444\n79389 100000\n52509 78657\n9796 14734\n97163 100000\n91564 100000\n85403 100000\n98098 100000\n15839 23797\n2822 4266\n12091 18192\n53328 79874\n84008 100000\n67133 100000\n39563 59208\n91436 100000\n3150 4771\n81442 100000\n3180 4814\n45247 67738\n96591 100000\n90623 100000\n62683 94011\n69910 100000\n24750 37134\n25034 37557\n60940 91355\n18283 27449\n39995 59872\n59088 88563\n91293 100000\n4350 6566\n46582 69752\n54392 81479\n20335 30551\n46379 69436\n28217 42312\n85685 100000\n42783 64066\n41389 61977\n90018 100000\n45578 68235\n22767 34189\n44748 67002\n94972 100000\n12638 19028\n39872 59688\n24407 36631\n31002 46446\n45384 67940\n6365 9600\n78910 100000\n21922 32921\n68463 100000\n75712 100000\n5945 8983\n89627 100000\n66988 100000\n2866 4337\n66134 99199\n22473 33757\n70983 100000\n4111 6203\n6310 9520\n21988 33019\n19157 28782\n94278 100000\n44918 67258\n4051 6112\n94585 100000\n27009 40487\n65466 98202\n92944 100000\n37749 56508\n56129 84101\n71750 100000\n84532 100000\n72031 100000\n61543 92279\n94632 100000\n33097 49579\n68129 100000\n30725 46047\n15967 23981\n98497 100000\n3152 4774\n17253 25896\n86015 100000\n97052 100000\n56178 84177\n64456 96675\n18418 27646\n88413 100000\n3319 5019\n27348 41004\n25811 38727\n52904 79249\n99379 100000\n47741 71479\n97486 100000\n65562 98343\n87836 100000\n28391 42567\n43316 64859\n66523 99784\n68312 100000\n33476 50154\n22459 33735\n18923 28419\n96505 100000\n28440 42639\n18986 28514\n67701 100000\n72997 100000\n31893 47780\n18628 27964\n55487 83128\n89659 100000\n19913 29919\n49627 74353\n23906 35873\n47540 71181\n54729 81985\n78057 100000\n93958 100000\n91025 100000\n28232 42336\n85618 100000\n95934 100000\n28151 42215\n56490 84641\n67450 100000\n43830 65610\n77389 100000\n61954 92910\n66058 99081\n82683 100000\n14365 21618\n20597 30947\n73496 100000\n44829 67121\n69262 100000\n53059 79478\n38829 58119\n21549 32364\n30105 45104\n48384 72467\n38262 57278\n98976 100000\n71845 100000\n71317 100000\n80072 100000\n22253 33429\n50821 76142\n74308 100000\n78162 100000\n58991 88414\n3762 5667\n48089 72014\n40178 60156\n87877 100000\n80684 100000\n25435 38157\n21353 32067\n90580 100000\n18064 27120\n85781 100000\n95217 100000\n23334 35028\n83922 100000\n17347 26042\n22833 34288\n69340 100000\n69853 100000\n2640 4002\n64861 97292\n62101 93129\n91578 100000\n53581 80255\n21382 32112\n21162 31784\n3387 5118\n44956 67311\n43795 65559\n1869 2822\n96984 100000\n52764 79031\n96383 100000\n61305 91912\n25429 38149\n90443 100000\n25532 38298\n9383 14115\n3368 5090\n79049 100000\n68208 100000\n17321 26001\n62474 93700\n19986 30029\n22946 34456\n71599 100000\n35473 53104\n97169 100000\n67198 100000\n90656 100000\n35735 53493\n89426 100000\n57768 86583\n81143 100000\n29491 44191\n16721 25094\n62117 93157\n49523 74205\n35911 53757\n83941 100000\n4309 6504\n18600 27920\n96618 100000\n86288 100000\n94527 100000\n7305 11006\n35602 53302\n62976 94450\n30907 46308\n13935 20961\n79773 100000\n56224 84246\n80720 100000\n59400 89050\n8097 12191\n68877 100000\n95983 100000\n95064 100000\n29034 43520\n28678 42996\n50452 75578\n85670 100000\n60287 90384\n23761 35665\n50954 76343\n91049 100000\n60720 91042\n10385 15627\n21005 31548\n23039 34596\n10282 15473\n35091 52541\n65931 98901\n10639 16011\n57063 85516\n1541 2305\n72481 100000\n91849 100000\n48131 72073\n34777 52083\n87350 100000\n9037 13583\n49066 73502\n87098 100000\n51894 77733\n8540 12845\n42433 63548\n16860 25312\n79421 100000\n38789 58057\n40567 60740\n94755 100000\n92985 100000\n75369 100000\n75029 100000\n59508 89215\n49797 74610\n27048 40551\n72472 100000\n51060 76499\n75071 100000\n4904 7407\n6270 9457\n39722 59446\n64175 96255\n45151 67595\n92452 100000\n69468 100000\n45580 68239\n84495 100000\n34345 51454\n74039 100000\n26396 39597\n2535 3842\n54113 81070\n11885 17891\n46626 69813\n70714 100000\n15671 23549\n76502 100000\n45957 68801\n62750 94116\n23305 34986\n64834 97253\n36764 55054\n18468 27723\n24567 36864\n36523 54697\n16932 25421\n7482 11275\n11007 16573\n64195 96288\n53556 80218\n95882 100000\n66694 100000\n8150 12263\n3451 5211\n69238 100000\n85558 100000\n84283 100000\n74062 100000\n49327 73899\n78707 100000\n90439 100000\n27242 40842\n10885 16388\n24781 37177\n45068 67473\n87167 100000\n85540 100000\n70265 100000\n40309 60343\n16523 24815\n68483 100000\n83752 100000\n75736 100000\n20078 30165\n27922 41858\n61921 92851\n80324 100000\n55404 83002\n74663 100000\n4281 6463\n62119 93160\n22621 33972\n70319 100000\n42126 63085\n48734 73005\n17466 26224\n25534 38301\n32 47\n73871 100000\n39940 59793\n86756 100000\n57102 85569\n63333 94976\n9325 14025\n68776 100000\n44500 66616\n19077 28651\n88349 100000\n88671 100000\n21738 32644\n42082 63022\n11216 16902\n10107 15208\n53130 79582\n760 1136\n92744 100000\n77970 100000\n25662 38498\n61734 92564\n81832 100000\n52593 78782\n2521 3822\n45738 68472\n45734 68465\n77159 100000\n1288 1928\n54916 82262\n57096 85559\n5154 7784\n95780 100000\n12899 19415\n22329 33536\n60710 91025\n56994 85414\n20607 30958\n54597 81790\n96093 100000\n46332 69366\n39437 59029\n19459 29240\n71842 100000\n4755 7183\n81282 100000\n25205 37810\n87870 100000\n51051 76487\n91697 100000\n98122 100000\n48366 72438\n68149 100000\n91208 100000\n84034 100000\n23216 34858\n13204 19872\n51915 77762\n49044 73469\n54882 82212\n86769 100000\n74998 100000\n89723 100000\n9487 14266\n84454 100000\n53115 79559\n63154 94710\n33715 50511\n61379 92021\n70174 100000\n26862 40272\n23490 35262\n80723 100000\n37117 55570\n7707 11607\n62440 93647\n26579 39861\n58760 88074\n18861 28323\n20259 30441\n7169 10806\n18289 27459\n52520 78675\n37255 55779\n27969 41926\n32044 47999\n92801 100000\n24755 37140\n77602 100000\n29879 44768\n45448 68039\n369 558\n82059 100000\n46807 70075\n99299 100000\n20726 31143\n85978 100000\n86893 100000\n72355 100000\n98403 100000\n30688 45996\n40520 60666\n98638 100000\n19449 29224\n12231 18407\n77377 100000\n1571 2355\n21747 32657\n78125 100000\n45901 68719\n58544 87741\n90696 100000\n67693 100000\n34885 52241\n78710 100000\n52221 78215\n47536 71175\n43615 65296\n17343 26035\n6479 9776\n3164 4789\n69315 100000\n92492 100000\n13578 20436\n90118 100000\n99656 100000\n31747 47563\n48107 72039\n45392 67952\n85698 100000\n81257 100000\n37955 56816\n99573 100000\n53630 80327\n31977 47907\n65355 98043\n89716 100000\n76745 100000\n91655 100000\n7014 10589\n76339 100000\n55509 83160\n86589 100000\n5931 8961\n73975 100000\n5411 8167\n17022 25552\n33897 50781\n31050 46513\n11146 16793\n38087 57017\n41601 62299\n1622 2430\n89578 100000\n9895 14887\n54217 81221\n22647 34008\n77995 100000\n3768 5677\n64082 96115\n22688 34070\n19836 29799\n50769 76066\n48444 72558\n21238 31896\n49275 73819\n96583 100000\n63748 95612\n75572 100000\n11453 17250\n39799 59570\n18249 27398\n23881 35836\n92542 100000\n8101 12197\n21368 32091\n56960 85360\n83573 100000\n40827 61126\n19796 29733\n39371 58929\n7706 11606\n85937 100000\n43726 65462\n89887 100000\n85134 100000\n59022 88460\n55018 82412\n21254 31921\n42591 63778\n98804 100000\n83957 100000\n60887 91276\n83844 100000\n94994 100000\n24056 36097\n97362 100000\n28375 42543\n13947 20981\n48745 73022\n94835 100000\n38469 57592\n72684 100000\n4055 6119\n50567 75765\n56231 84253\n11924 17944\n42080 63018\n70153 100000\n29865 44748\n68024 100000\n16352 24554\n58749 88055\n8324 12528\n32144 48147\n90530 100000\n28348 42500\n59083 88553\n85732 100000\n13088 19697\n40405 60492\n91800 100000\n32061 48025\n96464 100000\n16915 25393\n3605 5435\n96155 100000\n3137 4749\n75210 100000\n94624 100000\n32193 48219\n39109 58542\n81619 100000\n98609 100000\n47521 71153\n58439 87587\n74006 100000\n60535 90761\n78574 100000\n64217 96323\n97704 100000\n18764 28166\n82518 100000\n97087 100000\n66353 99528\n38029 56928\n33529 50232\n41478 62117\n6197 9353\n90376 100000\n38358 57428\n38842 58140\n3680 5541\n88274 100000\n81631 100000\n98366 100000\n73161 100000\n57632 86378\n31142 46652\n36362 54448\n24049 36088\n49480 74140\n93277 100000\n98851 100000\n81379 100000\n72890 100000\n14368 21624\n34254 51322\n72588 100000\n46415 69486\n55321 82871\n31392 47030\n23244 34896\n97321 100000\n77641 100000\n50832 76159\n44332 66363\n13136 19771\n63391 95061\n15087 22693\n58403 87538\n80336 100000\n54907 82250\n97250 100000\n81266 100000\n22660 34027\n52517 78671\n42722 63977\n24484 36747\n28015 42001\n24992 37491\n72820 100000\n23401 35128\n88474 100000\n3766 5673\n84858 100000\n1859 2805\n10344 15564\n23247 34901\n26934 40378\n51461 77106\n51735 77501\n55086 82516\n18866 28330\n18768 28172\n70391 100000\n32961 49380\n82046 100000\n75136 100000\n75277 100000\n67038 100000\n16253 24412\n95214 100000\n53345 79902\n98046 100000\n32505 48678\n86100 100000\n57009 85438\n36114 54065\n6415 9675\n97653 100000\n97397 100000\n6589 9944\n52184 78156\n18082 27149\n40357 60420\n43185 64661\n20009 30065\n95904 100000\n66116 99171\n84339 100000\n73545 100000\n41566 62246\n51097 76555\n91316 100000\n17904 26881\n46595 69773\n72475 100000\n38343 57405\n35839 53648\n54096 81047\n12281 18485\n97792 100000\n13544 20381\n10187 15327\n36762 55050\n6062 9152\n94087 100000\n71337 100000\n40990 61381\n75902 100000\n71879 100000\n68012 100000\n79150 100000\n14301 21520\n82007 100000\n58969 88381\n33688 50474\n53643 80348\n7391 11134\n47749 71491\n13809 20769\n48004 71885\n51014 76431\n95501 100000\n98916 100000\n81497 100000\n68460 100000\n76618 100000\n21374 32099\n6447 9726\n72537 100000\n91733 100000\n95184 100000\n32784 49112\n93514 100000\n86795 100000\n74590 100000\n19483 29277\n89406 100000\n72057 100000\n99222 100000\n28484 42703\n25542 38314\n8726 13128\n64572 96853\n64135 96192\n39682 59386\n64174 96253\n24329 36513\n78861 100000\n76672 100000\n88234 100000\n19690 29577\n56200 84209\n26524 39780\n90074 100000\n71489 100000\n69233 100000\n79189 100000\n58090 87071\n8864 13334\n33442 50102\n93016 100000\n44146 66079\n61364 91999\n3893 5861\n45890 68704\n78295 100000\n77211 100000\n79152 100000\n18466 27721\n82535 100000\n51271 76820\n91757 100000\n28963 43417\n87106 100000\n57602 86336\n56706 84979\n60250 90325\n20221 30382\n65717 98570\n63036 94534\n44755 67012\n69809 100000\n5967 9018\n77733 100000\n97179 100000\n42346 63420\n47322 70858\n62744 94107\n17378 26090\n83951 100000\n55478 83111\n34101 51096\n45918 68745\n96015 100000\n1824 2752\n96119 100000\n46039 68921\n12480 18787\n63576 95345\n51069 76513\n72221 100000\n50250 75285\n29667 44449\n78622 100000\n19366 29104\n15365 23105\n83404 100000\n87933 100000\n71916 100000\n71003 100000\n72088 100000\n40716 60960\n93568 100000\n60275 90365\n64216 96322\n34752 52043\n23087 34666\n59522 89237\n94452 100000\n71858 100000\n33157 49668\n65585 98373\n74029 100000\n58474 87640\n59043 88491\n16615 24940\n64131 96187\n98008 100000\n70023 100000\n18087 27156\n39549 59187\n21858 32828\n68019 100000\n69504 100000\n10818 16294\n53831 80638\n2450 3718\n47908 71738\n25360 38042\n4399 6639\n10775 16222\n29612 44378\n20035 30100\n80624 100000\n59785 89638\n31870 47747\n19119 28722\n10300 15498\n87806 100000\n84573 100000\n20632 30996\n20764 31199\n78154 100000\n95930 100000\n7491 11288\n28637 42934\n15108 22723\n8719 13114\n84384 100000\n79092 100000\n20085 30176\n66945 100000\n55032 82430\n46306 69330\n82966 100000\n8215 12362\n5673 8554\n61335 91957\n80079 100000\n12373 18627\n39704 59422\n50890 76241\n82917 100000\n17512 26293\n39968 59833\n95636 100000\n7154 10786\n69415 100000\n10270 15457\n65792 98687\n35474 53106\n56769 85072\n77217 100000\n35943 53805\n83491 100000\n59417 89078\n95287 100000\n29118 43644\n26573 39852\n43139 64593\n92356 100000\n96157 100000\n5275 7962\n93820 100000\n85391 100000\n39607 59273\n76068 100000\n71972 100000\n38783 58048\n67608 100000\n35248 52767\n96630 100000\n7900 11895\n6932 10468\n61208 91768\n14096 21224\n38209 57198\n62451 93666\n11411 17192\n29541 44263\n36388 54488\n46475 69582\n49401 74022\n65660 98482\n46488 69602\n74945 100000\n48077 71999\n56824 85158\n92204 100000\n13029 19612\n52341 78400\n48868 73209\n20806 31261\n8469 12738\n49619 74344\n16222 24364\n46774 70030\n20786 31230\n95470 100000\n11953 17986\n12955 19502\n61874 92778\n789 1182\n34128 51133\n80032 100000\n67307 100000\n7248 10924\n22106 33205\n70341 100000\n22807 34246\n53976 80859\n43178 64651\n49252 73785\n35716 53466\n46909 70224\n68317 100000\n881 1310\n16311 24496\n10311 15514\n30332 45455\n81666 100000\n7348 11068\n14925 22453\n89661 100000\n54770 82053\n26351 39530\n30813 46173\n60405 90563\n77900 100000\n59304 88899\n43740 65484\n45292 67805\n26442 39664\n70719 100000\n75186 100000\n73946 100000\n94647 100000\n55467 83097\n90363 100000\n91005 100000\n89344 100000\n87705 100000\n52865 79185\n57478 86137\n39035 58436\n48947 73323\n6466 9759\n40228 60227\n49241 73770\n18221 27357\n49548 74239\n2189 3311\n33884 50762\n30568 45809\n84196 100000\n72864 100000\n26016 39025\n21475 32252\n31262 46841\n39844 59646\n32691 48966\n31577 47300\n68631 100000\n67763 100000\n10914 16437\n18650 27995\n37145 55614\n45539 68175\n30746 46078\n45708 68426\n90146 100000\n90836 100000\n62949 94410\n37512 56154\n15831 23785\n45662 68361\n52032 77932\n13452 20247\n92776 100000\n74962 100000\n17480 26245\n69172 100000\n26379 39573\n51844 77666\n25492 38241\n7512 11321\n79596 100000\n86702 100000\n580 867\n35370 52949\n66519 99776\n34574 51782\n43954 65790\n20389 30637\n61402 92059\n52111 78047\n89352 100000\n56253 84286\n11544 17388\n74807 100000\n79461 100000\n51738 77504\n24105 36171\n41115 61564\n21862 32834\n4615 6972\n19888 29880\n11269 16982\n25337 38007\n12856 19351\n19919 29929\n56953 85349\n9734 14635\n3973 5987\n23868 35817\n76133 100000\n63200 94777\n48741 73016\n19720 29620\n80327 100000\n70164 100000\n76090 100000\n6409 9667\n31317 46919\n12914 19440\n76458 100000\n49673 74424\n19664 29543\n11716 17643\n93691 100000\n10579 15917\n81837 100000\n15912 23904\n85651 100000\n82893 100000\n62979 94454\n78557 100000\n46198 69159\n4576 6909\n69078 100000\n97932 100000\n97941 100000\n99871 100000\n29185 43734\n66279 99414\n96890 100000\n31238 46805\n79251 100000\n21938 32948\n18948 28457\n57732 86531\n25757 38643\n88856 100000\n41504 62151\n87344 100000\n25324 37986\n18864 28327\n15989 24014\n39501 59116\n53379 79955\n47589 71254\n25109 37669\n49541 74227\n84896 100000\n81552 100000\n75975 100000\n6976 10536\n69190 100000\n40290 60315\n5410 8165\n75100 100000\n22907 34398\n27368 41038\n67013 100000\n24748 37131\n2514 3809\n40859 61177\n45587 68250\n4635 7002\n94830 100000\n62805 94194\n64960 97445\n96118 100000\n99633 100000\n978 1466\n35604 53305\n3713 5592\n15505 23307\n90143 100000\n58712 87995\n88830 100000\n70985 100000\n64130 96185\n51516 77190\n6395 9647\n74801 100000\n26269 39411\n63730 95585\n10582 15921\n61549 92288\n37155 55628\n37918 56759\n80528 100000\n50271 75316\n98237 100000\n83925 100000\n404 609\n89324 100000\n33218 49766\n16745 25131\n59021 88459\n46889 70194\n16576 24891\n28226 42327\n32456 48606\n37226 55734\n62285 93411\n20334 30550\n57313 85890\n93484 100000\n89854 100000\n48468 72596\n49510 74188\n64509 96756\n13405 20182\n14090 21214\n16327 24518\n35028 52446\n90709 100000\n7370 11103\n63260 94870\n17090 25651\n64966 97456\n37493 56128\n12467 18765\n57182 85686\n67715 100000\n9237 13896\n22429 33688\n32671 48935\n3732 5618\n86887 100000\n47366 70927\n71536 100000\n60258 90338\n16654 24992\n38972 58337\n43024 64421\n38397 57490\n28415 42601\n59343 88957\n73199 100000\n10146 15265\n5385 8129\n85358 100000\n65592 98384\n24118 36192\n55904 83756\n26948 40398\n29555 44288\n22469 33751\n50961 76352\n18754 28150\n77404 100000\n83861 100000\n74745 100000\n82036 100000\n9255 13924\n13951 20988\n18436 27675\n78306 100000\n42199 63198\n44228 66204\n16189 24317\n78431 100000\n85232 100000\n81115 100000\n24728 37106\n66902 100000\n12606 18979\n67674 100000\n709 1059\n18575 27884\n16695 25057\n98924 100000\n5603 8446\n16402 24630\n92220 100000\n73583 100000\n79581 100000\n92345 100000\n66176 99259\n86238 100000\n49754 74547\n88547 100000\n56842 85185\n68064 100000\n60895 91289\n73523 100000\n99710 100000\n84065 100000\n39481 59089\n92879 100000\n45070 67476\n42796 64086\n59440 89114\n15471 23257\n94169 100000\n3569 5384\n81549 100000\n44336 66371\n19604 29457\n43589 65251\n68610 100000\n14185 21353\n90013 100000\n8050 12124\n13843 20823\n65178 97781\n18369 27579\n21434 32191\n94933 100000\n51595 77300\n71851 100000\n8934 13435\n13901 20915\n94621 100000\n35607 53309\n44660 66863\n2403 3645\n90758 100000\n72085 100000\n14566 21910\n50875 76219\n54570 81751\n38078 57003\n90621 100000\n50356 75445\n65755 98631\n48139 72085\n19440 29212\n81156 100000\n31106 46597\n27007 40484\n85750 100000\n94234 100000\n10340 15558\n80774 100000\n93669 100000\n84563 100000\n49025 73438\n13281 19995\n56934 85319\n54227 81236\n1847 2786\n60579 90826\n43299 64836\n98041 100000\n61249 91831\n84102 100000\n36294 54344\n20575 30914\n77365 100000\n53755 80523\n77872 100000\n72549 100000\n38994 58373\n52762 79028\n92746 100000\n59314 88913\n31733 47541\n6553 9890\n5691 8582\n64851 97277\n24028 36058\n76336 100000\n67675 100000\n56363 84451\n12825 19303\n38683 57893\n3736 5625\n64497 96739\n67380 100000\n51021 76442\n74052 100000\n82177 100000\n12043 18121\n94897 100000\n78377 100000\n89339 100000\n7474 11262\n38688 57901\n94637 100000\n95293 100000\n87912 100000\n59779 89630\n39532 59161\n90821 100000\n84788 100000\n95359 100000\n12172 18316\n27509 41246\n51431 77057\n67186 100000\n35554 53232\n43648 65348\n13512 20330\n95566 100000\n20763 31198\n21180 31812\n64525 96782\n8832 13285\n84009 100000\n69710 100000\n10326 15539\n37551 56213\n49344 73924\n66414 99609\n78667 100000\n17591 26409\n15202 22863\n61373 92013\n24169 36271\n63761 95632\n2549 3865\n39546 59183\n87992 100000\n57195 85705\n56268 84310\n15451 23228\n85535 100000\n60108 90116\n30263 45348\n39050 58458\n72195 100000\n63043 94545\n47602 71275\n1011 1516\n69313 100000\n55440 83058\n57562 86274\n35290 52829\n30346 45473\n64595 96887\n65721 98577\n94704 100000\n88129 100000\n5216 7876\n2231 3375\n71993 100000\n56038 83963\n59772 89621\n35466 53092\n84638 100000\n56422 84544\n30818 46180\n23024 34572\n91018 100000\n45063 67467\n44953 67308\n59038 88484\n93375 100000\n53978 80862\n89970 100000\n41725 62487\n74000 100000\n96138 100000\n62589 93867\n56679 84940\n96744 100000\n69506 100000\n52715 78958\n30845 46218\n51693 77441\n23068 34638\n1012 1518\n84927 100000\n3217 4866\n29828 44694\n66438 99644\n98932 100000\n52931 79287\n89696 100000\n86888 100000\n80229 100000\n10093 15188\n91344 100000\n9445 14202\n70859 100000\n45087 67503\n21487 32271\n80042 100000\n53511 80148\n36315 54376\n94754 100000\n64913 97373\n38924 58262\n89040 100000\n40510 60651\n5758 8685\n42744 64008\n25020 37538\n1719 2582\n99882 100000\n60299 90402\n46230 69213\n16425 24663\n56374 84468\n73910 100000\n18771 28177\n5631 8487\n4676 7063\n81449 100000\n62365 93523\n89898 100000\n75670 100000\n34951 52335\n25874 38824\n6207 9367\n73036 100000\n8819 13266\n12608 18982\n92284 100000\n92189 100000\n51593 77297\n1729 2597\n32884 49268\n32979 49406\n7309 11013\n2842 4299\n33037 49491\n72108 100000\n90263 100000\n65084 97633\n22364 33595\n99926 100000\n87725 100000\n94568 100000\n5731 8641\n48532 72689\n51224 76749\n58546 87744\n79873 100000\n19516 29327\n76767 100000\n43771 65530\n18273 27435\n20187 30329\n12129 18249\n83666 100000\n17241 25880\n62460 93680\n31737 47549\n58500 87676\n11288 17012\n66196 99289\n13846 20827\n23294 34969\n15283 22980\n21906 32898\n37154 55626\n72612 100000\n79345 100000\n14518 21841\n58539 87732\n59142 88643\n27877 41789\n20238 30408\n31855 47722\n13443 20236\n68864 100000\n91034 100000\n25984 38979\n87002 100000\n59534 89254\n8673 13048\n77478 100000\n9892 14882\n88406 100000\n42916 64263\n75541 100000\n61826 92704\n88890 100000\n17211 25833\n10140 15258\n50757 76048\n70844 100000\n14378 21637\n37988 56866\n90003 100000\n32944 49357\n6190 9344\n83269 100000\n85875 100000\n53414 80006\n25433 38155\n19253 28929\n44914 67252\n85288 100000\n46009 68877\n43278 64803\n81760 100000\n36807 55113\n39016 58407\n46624 69810\n86081 100000\n80416 100000\n47878 71692\n36091 54032\n15997 24027\n98102 100000\n45558 68202\n89847 100000\n66149 99221\n42953 64317\n96350 100000\n79395 100000\n83264 100000\n1164 1747\n93989 100000\n40449 60562\n52621 78821\n79549 100000\n35333 52895\n56307 84366\n94751 100000\n3606 5436\n76175 100000\n81235 100000\n46413 69484\n60687 90991\n3726 5610\n35710 53459\n65477 98216\n93147 100000\n94150 100000\n73443 100000\n10421 15682\n20837 31304\n80431 100000\n21538 32348\n51746 77518\n43586 65247\n16773 25179\n67561 100000\n34531 51725\n19638 29508\n17605 26431\n36347 54427\n95196 100000\n51741 77510\n84591 100000\n50288 75342\n13614 20488\n74942 100000\n71167 100000\n53429 80027\n29511 44219\n49176 73675\n51519 77195\n31763 47582\n97398 100000\n91176 100000\n19967 29999\n15601 23446\n14702 22117\n44026 65895\n86397 100000\n71952 100000\n93090 100000\n11775 17733\n15853 23817\n96642 100000\n96892 100000\n49306 73866\n29898 44797\n64445 96660\n62155 93214\n49460 74110\n88583 100000\n28710 43037\n94958 100000\n32310 48394\n57699 86484\n11307 17041\n94191 100000\n4925 7438\n32196 48223\n77963 100000\n15481 23271\n88520 100000\n95583 100000\n44848 67151\n64048 96062\n52189 78165\n85716 100000\n70961 100000\n95462 100000\n19052 28615\n11196 16871\n76946 100000\n72159 100000\n77727 100000\n39765 59512\n12585 18948\n51206 76723\n74170 100000\n32093 48074\n14130 21271\n67719 100000\n56261 84300\n23452 35204\n18163 27269\n60144 90165\n55214 82708\n49082 73527\n16050 24102\n65924 98888\n35851 53666\n37929 56775\n982 1471\n20641 31010\n75428 100000\n42170 63155\n563 843\n35052 52484\n15104 22717\n55293 82830\n89308 100000\n43542 65188\n73762 100000\n42432 63547\n40168 60141\n31468 47139\n11291 17016\n56753 85047\n56063 84002\n44194 66152\n7178 10821\n61056 91535\n55682 83422\n11812 17791\n74862 100000\n78558 100000\n71776 100000\n75846 100000\n82909 100000\n5581 8417\n44284 66289\n64345 96518\n79504 100000\n39126 58572\n365 551\n69979 100000\n17716 26605\n48552 72722\n26490 39732\n21379 32107\n18915 28405\n41074 61502\n92304 100000\n98113 100000\n33178 49700\n5347 8069\n29098 43615\n28991 43455\n45048 67443\n68278 100000\n26471 39707\n66861 100000\n78708 100000\n14373 21630\n75475 100000\n26480 39720\n21289 31969\n22188 33330\n69061 100000\n34945 52326\n86044 100000\n47511 71139\n26582 39864\n94851 100000\n99796 100000\n12070 18163\n66829 100000\n53760 80533\n25782 38683\n78234 100000\n5006 7556\n41991 62882\n35002 52408\n15044 22632\n97344 100000\n4294 6482\n61907 92829\n80461 100000\n69349 100000\n50699 75961\n16246 24401\n27331 40977\n18 26\n81833 100000\n16912 25388\n76295 100000\n30949 46371\n92352 100000\n82006 100000\n83680 100000\n8096 12189\n3996 6021\n8602 12946\n23364 35074\n75252 100000\n31873 47751\n62605 93891\n22856 34320\n83147 100000\n73123 100000\n8079 12166\n24295 36456\n75056 100000\n39298 58820\n6774 10233\n54038 80956\n89026 100000\n35829 53633\n11187 16856\n26645 39949\n99319 100000\n45349 67888\n21957 32978\n90907 100000\n58048 87006\n38457 57574\n88330 100000\n32644 48894\n16330 24521\n52196 78176\n22481 33768\n5999 9064\n3425 5172\n10704 16113\n83525 100000\n90673 100000\n35592 53290\n85195 100000\n4245 6411\n50496 75651\n51484 77139\n1746 2623\n5737 8650\n49906 74779\n54200 81196\n46899 70208\n42537 63703\n2841 4298\n3197 4839\n98270 100000\n24465 36721\n19215 28872\n62392 93565\n26789 40164\n79842 100000\n41765 62546\n55300 82842\n88774 100000\n79559 100000\n41736 62502\n52394 78475\n27924 41860\n82290 100000\n86171 100000\n74505 100000\n94131 100000\n44870 67184\n16517 24805\n13872 20870\n51954 77817\n53763 80539\n12975 19533\n82515 100000\n60829 91197\n52972 79344\n47892 71715\n2826 4273\n71132 100000\n51540 77224\n49793 74605\n18356 27559\n90968 100000\n75994 100000\n18872 28339\n61158 91691\n34268 51343\n33017 49459\n13403 20179\n44379 66436\n8682 13062\n55632 83347\n98762 100000\n31749 47565\n21429 32183\n83021 100000\n74988 100000\n99022 100000\n86692 100000\n78992 100000\n1798 2711\n9767 14687\n34261 51332\n60385 90533\n90317 100000\n44604 66772\n28481 42699\n98139 100000\n29748 44572\n42168 63151\n56272 84315\n44127 66050\n21591 32425\n21519 32316\n18132 27225\n19160 28788\n95099 100000\n61697 92510\n37828 56626\n16967 25469\n82200 100000\n56156 84143\n48096 72022\n43221 64719\n3946 5946\n61359 91992\n50064 75013\n50062 75010\n37158 55632\n30005 44954\n11983 18029\n45962 68810\n26988 40453\n29199 43753\n72983 100000\n8067 12148\n49442 74085\n39670 59365\n54126 81085\n81357 100000\n75790 100000\n65547 98319\n14885 22394\n50259 75299\n17923 26906\n53487 80114\n30961 46387\n20348 30571\n93920 100000\n84187 100000\n49391 74005\n15922 23918\n92472 100000\n93072 100000\n88288 100000\n20175 30308\n15753 23674\n57248 85785\n20 29\n60516 90734\n16586 24903\n87919 100000\n46972 70318\n67966 100000\n77679 100000\n2042 3083\n39170 58638\n81173 100000\n97058 100000\n55777 83564\n21367 32090\n31539 47245\n13939 20968\n82870 100000\n67914 100000\n89567 100000\n88916 100000\n78684 100000\n70913 100000\n85512 100000\n47282 70796\n34667 51916\n48606 72806\n65622 98431\n36125 54083\n38659 57858\n43566 65222\n93097 100000\n59131 88628\n45464 68065\n75224 100000\n61530 92260\n93847 100000\n50135 75114\n17192 25803\n42129 63090\n51819 77627\n68400 100000\n58613 87842\n42579 63763\n90625 100000\n32202 48231\n29412 44074\n47624 71306\n86473 100000\n11831 17817\n64255 96381\n59729 89555\n50131 75108\n18403 27627\n53099 79534\n62453 93669\n90525 100000\n43841 65628\n25410 38117\n62861 94283\n81713 100000\n45959 68805\n78975 100000\n83047 100000\n80813 100000\n88167 100000\n69110 100000\n79734 100000\n72492 100000\n32209 48243\n5149 7777\n8604 12950\n68745 100000\n86537 100000\n12503 18821\n31267 46848\n581 868\n17372 26081\n28885 43299\n53605 80294\n88186 100000\n48663 72892\n29997 44941\n20467 30757\n84999 100000\n20598 30948\n21173 31803\n38113 57055\n14442 21726\n27378 41054\n80599 100000\n56339 84417\n29438 44115\n52845 79155\n25686 38535\n21149 31767\n33080 49554\n1345 2010\n88114 100000\n30284 45381\n50988 76392\n13393 20161\n38117 57062\n7028 10606\n34091 51079\n45062 67465\n11886 17893\n32272 48338\n19464 29248\n52674 78896\n16489 24764\n66653 99979\n43547 65195\n24014 36037\n23674 35536\n74232 100000\n81339 100000\n6743 10185\n86005 100000\n94409 100000\n98303 100000\n30678 45982\n49389 74002\n57501 86174\n24226 36351\n18883 28358\n99096 100000\n88967 100000\n48864 73204\n67563 100000\n61560 92306\n40942 61308\n61611 92380\n92723 100000\n62115 93153\n35100 52556\n26345 39521\n29482 44177\n56664 84918\n5408 8161\n9485 14264\n85589 100000\n15379 23126\n9694 14576\n27390 41069\n51744 77515\n55436 83051\n26 39\n69726 100000\n99724 100000\n40923 61280\n10105 15206\n91297 100000\n18321 27507\n39742 59476\n37643 56345\n6333 9555\n77925 100000\n26209 39320\n60461 90650\n26093 39143\n94093 100000\n65937 98909\n81225 100000\n73192 100000\n30391 45543\n87011 100000\n55357 82928\n9440 14196\n50147 75132\n12428 18708\n66420 99618\n72575 100000\n30661 45956\n80798 100000\n98487 100000\n42576 63758\n12559 18909\n44352 66392\n30141 45161\n7789 11728\n82959 100000\n15775 23705\n3041 4612\n35843 53655\n73653 100000\n22573 33901\n62309 93447\n64186 96274\n12768 19221\n48071 71990\n44452 66541\n27027 40517\n95979 100000\n3068 4647\n58888 88262\n32314 48400\n376 568\n69935 100000\n95276 100000\n95814 100000\n23428 35167\n26174 39270\n34541 51737\n50986 76389\n42163 63141\n71096 100000\n56759 85057\n42691 63928\n62418 93611\n76751 100000\n27933 41876\n21340 32043\n28782 43143\n65496 98246\n97264 100000\n36059 53983\n13633 20520\n90692 100000\n89525 100000\n40274 60296\n6099 9201\n1721 2586\n79665 100000\n69836 100000\n36469 54615\n38263 57280\n16690 25051\n3436 5188\n31053 46517\n50324 75397\n19618 29477\n63615 95407\n69004 100000\n43437 65035\n77818 100000\n22898 34384\n80702 100000\n45994 68855\n71002 100000\n1673 2510\n11676 17588\n73031 100000\n51521 77198\n37101 55547\n56724 85006\n80746 100000\n430 644\n44370 66423\n56262 84302\n58240 87288\n66495 99742\n38075 56999\n49920 74797\n31793 47631\n89617 100000\n29317 43934\n52166 78127\n91041 100000\n86995 100000\n74635 100000\n43638 65332\n45604 68275\n73213 100000\n4586 6926\n83714 100000\n80541 100000\n46644 69838\n34700 51963\n62034 93029\n88797 100000\n40403 60489\n30578 45826\n94434 100000\n66064 99091\n99975 100000\n1725 2592\n98107 100000\n49740 74527\n58687 87955\n87816 100000\n74968 100000\n24488 36751\n60791 91142\n6319 9534\n94752 100000\n74617 100000\n87567 100000\n76765 100000\n95858 100000\n11316 17055\n38390 57478\n33408 50052\n98925 100000\n67191 100000\n50352 75438\n26297 39451\n24805 37210\n38670 57873\n39587 59243\n88066 100000\n28836 43224\n38114 57057\n6285 9478\n30743 46073\n70738 100000\n50425 75539\n12936 19474\n44704 66935\n78147 100000\n21273 31946\n35108 52565\n87657 100000\n39986 59860\n2624 3978\n31270 46852\n31543 47251\n45287 67799\n29120 43647\n28909 43334\n22589 33926\n98841 100000\n29045 43538\n71013 100000\n3272 4948\n40459 60575\n33131 49629\n28207 42300\n21040 31601\n86543 100000\n55818 83625\n14306 21529\n817 1224\n53506 80139\n19804 29747\n29913 44818\n12973 19529\n95409 100000\n73336 100000\n69714 100000\n2978 4513\n15120 22738\n47464 71066\n26706 40043\n24812 37219\n81242 100000\n55201 82691\n12521 18849\n22229 33395\n78794 100000\n13627 20510\n32766 49083\n55697 83443\n99752 100000\n25193 37793\n21127 31735\n83591 100000\n69134 100000\n64930 97400\n45269 67771\n84620 100000\n74002 100000\n79085 100000\n68771 100000\n23851 35791\n30082 45070\n64322 96481\n90682 100000\n54339 81405\n94301 100000\n10414 15673\n97317 100000\n98978 100000\n68951 100000\n9411 14150\n26801 40180\n42712 63961\n5461 8241\n31992 47930\n96540 100000\n47659 71355\n98347 100000\n17246 25886\n96266 100000\n96352 100000\n8065 12145\n14370 21626\n38652 57848\n72698 100000\n51952 77815\n57574 86294\n89900 100000\n12003 18061\n53902 80743\n27005 40480\n25310 37965\n75815 100000\n84673 100000\n55720 83479\n78349 100000\n67371 100000\n82385 100000\n31108 46599\n85241 100000\n93516 100000\n69170 100000\n53983 80869\n26699 40035\n33152 49660\n89942 100000\n74940 100000\n37211 55710\n86173 100000\n56280 84325\n43588 65250\n14812 22283\n55135 82587\n19296 28995\n68927 100000\n96278 100000\n91044 100000\n16948 25441\n66261 99386\n21464 32238\n58608 87833\n10202 15347\n71524 100000\n40159 60126\n43372 64941\n37690 56419\n42458 63585\n93319 100000\n40616 60814\n16810 25236\n11691 17606\n94626 100000\n59787 89641\n86325 100000\n58721 88009\n92044 100000\n90236 100000\n36887 55229\n37950 56809\n85786 100000\n2119 3200\n1261 1887\n71874 100000\n17311 25984\n8206 12350\n34374 51501\n23684 35553\n44389 66451\n48596 72790\n73500 100000\n3186 4823\n40517 60661\n95367 100000\n27273 40883\n84580 100000\n59361 88986\n30788 46137\n87372 100000\n47071 70473\n28984 43446\n86636 100000\n58580 87794\n26914 40350\n34708 51974\n28200 42290\n4420 6670\n96880 100000\n81644 100000\n67519 100000\n84060 100000\n74887 100000\n99605 100000\n49015 73425\n57273 85826\n55250 82764\n79716 100000\n82040 100000\n4850 7325\n93128 100000\n50265 75308\n72894 100000\n6200 9358\n19436 29205\n59266 88835\n90016 100000\n37619 56314\n60870 91251\n28524 42766\n89268 100000\n12182 18329\n93085 100000\n65552 98327\n35324 52881\n13133 19767\n92958 100000\n69772 100000\n85127 100000\n80697 100000\n36343 54420\n43037 64439\n70898 100000\n999 1498\n21640 32502\n2405 3648\n85205 100000\n97996 100000\n96662 100000\n84343 100000\n83946 100000\n20333 30549\n77372 100000\n15353 23089\n95179 100000\n92358 100000\n25244 37868\n71112 100000\n55480 83115\n6401 9654\n45475 68081\n56567 84765\n78494 100000\n37031 55438\n56404 84514\n45711 68430\n74514 100000\n99097 100000\n79564 100000\n46036 68917\n20063 30138\n31526 47226\n64937 97409\n73850 100000\n24033 36063\n25110 37670\n21921 32919\n66969 100000\n35757 53526\n1268 1898\n98768 100000\n16914 25391\n18997 28530\n15346 23078\n28859 43260\n60624 90895\n1947 2941\n95817 100000\n97314 100000\n91724 100000\n37658 56371\n99044 100000\n40291 60316\n58176 87198\n40579 60756\n39792 59558\n70832 100000\n6174 9318\n11823 17807\n91313 100000\n14494 21802\n94979 100000\n55264 82784\n78823 100000\n82418 100000\n77023 100000\n9476 14249\n48185 72157\n2284 3455\n49244 73773\n38021 56917\n78720 100000\n57427 86062\n81925 100000\n6061 9151\n68523 100000\n54329 81388\n6286 9480\n88347 100000\n63774 95653\n44095 65996\n94688 100000\n49070 73508\n84332 100000\n34923 52293\n22753 34169\n17753 26658\n20723 31137\n76583 100000\n43875 65677\n46590 69766\n1160 1740\n65456 98189\n95951 100000\n52737 78992\n11645 17538\n8159 12276\n32386 48500\n59669 89459\n31089 46570\n31164 46688\n25967 38957\n42102 63049\n86203 100000\n94095 100000\n80223 100000\n67670 100000\n46797 70061\n65707 98554\n21852 32820\n43062 64479\n36881 55220\n97781 100000\n9896 14888\n30767 46103\n88898 100000\n7958 11987\n72779 100000\n88749 100000\n17974 26984\n84191 100000\n41727 62489\n82416 100000\n7699 11595\n10030 15089\n48345 72404\n85420 100000\n98115 100000\n91457 100000\n67528 100000\n72225 100000\n58228 87271\n75188 100000\n50013 74938\n89956 100000\n96008 100000\n31283 46868\n584 874\n97915 100000\n38451 57565\n18840 28288\n18186 27302\n79385 100000\n81674 100000\n93924 100000\n71390 100000\n41626 62334\n16167 24281\n10987 16543\n97493 100000\n69550 100000\n64275 96410\n11463 17267\n56555 84745\n4092 6175\n60233 90299\n93809 100000\n51900 77742\n21676 32557\n69351 100000\n89061 100000\n83927 100000\n5919 8945\n2081 3146\n45915 68740\n34086 51071\n90550 100000\n90603 100000\n45800 68567\n90609 100000\n18850 28304\n16141 24239\n78826 100000\n54875 82202\n2715 4113\n25370 38055\n23897 35859\n93330 100000\n99068 100000\n50115 75086\n69577 100000\n33494 50182\n69343 100000\n63552 95308\n41100 61541\n91341 100000\n48307 72347\n5992 9054\n8401 12641\n6975 10534\n43198 64682\n97468 100000\n15667 23543\n3864 5823\n50916 76282\n24990 37488\n85533 100000\n36082 54019\n10038 15101\n24404 36625\n49779 74584\n18409 27634\n41577 62262\n80709 100000\n51603 77310\n59859 89747\n12461 18758\n24047 36085\n94365 100000\n62649 93960\n60528 90751\n40774 61045\n10992 16549\n53466 80084\n64254 96380\n86908 100000\n97311 100000\n10745 16175\n18577 27886\n72503 100000\n25180 37772\n79143 100000\n77516 100000\n16266 24432\n78241 100000\n54430 81539\n99241 100000\n84202 100000\n72955 100000\n60334 90454\n64187 96276\n87865 100000\n81771 100000\n58747 88051\n3071 4652\n66646 99968\n1216 1817\n64268 96399\n27938 41883\n61484 92190\n72799 100000\n87112 100000\n45978 68834\n89741 100000\n23748 35647\n32336 48433\n52669 78890\n1048 1573\n54646 81863\n4853 7329\n36219 54229\n10794 16252\n43159 64624\n24180 36286\n36263 54296\n26275 39421\n16926 25411\n60474 90668\n73721 100000\n40649 60863\n3788 5707\n91036 100000\n87880 100000\n98979 100000\n5783 8727\n83503 100000\n30458 45645\n50541 75721\n76200 100000\n33553 50266\n55551 83223\n83204 100000\n89117 100000\n21002 31543\n16814 25242\n27056 40561\n96730 100000\n68827 100000\n71451 100000\n5486 8278\n48053 71959\n65436 98161\n44778 67046\n95265 100000\n24438 36679\n42246 63269\n74195 100000\n19976 30014\n44219 66192\n7829 11790\n80128 100000\n66505 99756\n41987 62878\n90219 100000\n56874 85232\n22091 33180\n19102 28696\n31214 46768\n73263 100000\n4162 6281\n3688 5555\n80713 100000\n12198 18357\n21385 32116\n23212 34852\n6050 9136\n27535 41285\n62427 93624\n69438 100000\n95121 100000\n47142 70578\n73157 100000\n78599 100000\n35907 53751\n54432 81542\n70065 100000\n30895 46290\n51102 76563\n60832 91200\n30393 45546\n21020 31571\n66045 99062\n28188 42272\n94379 100000\n33249 49813\n17954 26954\n623 929\n73125 100000\n40635 60842\n62978 94453\n82060 100000\n96819 100000\n63108 94641\n76735 100000\n23697 35570\n93219 100000\n27093 40616\n96162 100000\n11249 16952\n77432 100000\n52074 77995\n25382 38073\n64500 96744\n50330 75406\n84944 100000\n80768 100000\n26023 39038\n18942 28448\n82863 100000\n25271 37909\n92611 100000\n22108 33207\n92023 100000\n52750 79011\n3495 5276\n82262 100000\n20118 30224\n23468 35229\n21578 32406\n22073 33153\n23886 35843\n97681 100000\n15537 23354\n17405 26131\n1002 1502\n394 595\n79790 100000\n82362 100000\n6654 10041\n84975 100000\n18322 27509\n86952 100000\n52282 78306\n30563 45803\n75685 100000\n92605 100000\n9656 14519\n10758 16197\n91659 100000\n65001 97506\n7905 11904\n67624 100000\n70924 100000\n81245 100000\n16436 24681\n21369 32093\n24423 36657\n38392 57481\n59918 89837\n13287 20004\n72720 100000\n4531 6835\n11671 17579\n99234 100000\n11992 18045\n21966 32991\n99166 100000\n55422 83030\n21083 31669\n59232 88782\n27317 40954\n54170 81151\n39605 59270\n48211 72199\n56880 85241\n856 1273\n54966 82334\n27958 41910\n41041 61454\n40651 60865\n22577 33906\n35364 52941\n12639 19029\n64308 96461\n91270 100000\n28790 43155\n96024 100000\n97750 100000\n44302 66316\n98781 100000\n37507 56147\n61937 92878\n50940 76323\n63172 94737\n58525 87715\n37892 56720\n26463 39695\n52275 78297\n54369 81448\n45148 67590\n8249 12415\n30751 46085\n49682 74438\n2907 4400\n4675 7062\n26673 39991\n67557 100000\n50240 75271\n13145 19785\n33220 49768\n77457 100000\n17349 26044\n25238 37861\n55688 83431\n19213 28868\n9944 14958\n96988 100000\n39432 59023\n74461 100000\n82642 100000\n17187 25796\n87159 100000\n4259 6431\n62640 93944\n34270 51347\n6718 10145\n17322 26002\n56047 83977\n22349 33570\n49590 74299\n53183 79656\n71741 100000\n46591 69767\n88348 100000\n61461 92150\n83800 100000\n52041 77945\n99232 100000\n54975 82347\n85897 100000\n52115 78054\n20146 30264\n3793 5713\n12804 19272\n66500 99748\n22125 33233\n90294 100000\n58094 87076\n52648 78860\n49830 74664\n3367 5088\n75371 100000\n74467 100000\n61457 92142\n5049 7621\n19980 30019\n30637 45918\n17754 26659\n71953 100000\n4830 7294\n30740 46069\n20988 31526\n91504 100000\n48829 73151\n92150 100000\n88529 100000\n56067 84006\n57758 86569\n30022 44981\n11795 17764\n91947 100000\n27415 41105\n47610 71285\n9356 14073\n74394 100000\n93906 100000\n35123 52584\n96987 100000\n74877 100000\n78313 100000\n63887 95827\n83684 100000\n41388 61976\n99769 100000\n92142 100000\n97590 100000\n31613 47359\n88781 100000\n61855 92748\n34650 51891\n70055 100000\n34619 51846\n38768 58021\n53167 79632\n95032 100000\n44684 66902\n50263 75304\n64432 96644\n85496 100000\n33519 50217\n57783 86603\n24881 37327\n72767 100000\n94787 100000\n53644 80349\n75012 100000\n33522 50222\n65571 98354\n34779 52087\n12038 18115\n84120 100000\n57597 86329\n35237 52752\n38584 57755\n65412 98125\n92967 100000\n83227 100000\n91794 100000\n97833 100000\n71827 100000\n94662 100000\n15130 22752\n27718 41554\n27621 41410\n8684 13065\n88899 100000\n941 1407\n99283 100000\n1386 2070\n82299 100000\n92810 100000\n62739 94099\n37668 56387\n48535 72694\n28598 42878\n82697 100000\n21649 32517\n61240 91816\n91466 100000\n16764 25163\n65521 98282\n39034 58435\n67227 100000\n88226 100000\n34456 51615\n88117 100000\n52910 79256\n14955 22505\n73919 100000\n68622 100000\n8987 13516\n25150 37726\n37248 55771\n83976 100000\n85568 100000\n56143 84124\n50601 75811\n55974 83862\n75833 100000\n80399 100000\n52652 78866\n25164 37746\n17215 25838\n26718 40061\n56285 84332\n73457 100000\n59254 88818\n31946 47859\n57109 85580\n58105 87091\n94061 100000\n49043 73467\n27634 41429\n35029 52448\n20860 31343\n39112 58548\n60901 91298\n48965 73351\n86824 100000\n33623 50381\n92998 100000\n33918 50813\n21658 32528\n2258 3418\n55596 83291\n69886 100000\n24908 37367\n7086 10684\n97623 100000\n33280 49861\n62553 93816\n46632 69823\n1194 1787\n13861 20852\n21084 31670\n29758 44587\n77538 100000\n58185 87209\n67242 100000\n63192 94763\n10522 15830\n97292 100000\n48855 73189\n2785 4211\n19934 29954\n25988 38984\n70351 100000\n58775 88095\n18229 27368\n22530 33839\n55644 83366\n45390 67949\n58295 87376\n25818 38738\n29212 43771\n58118 87109\n20001 30052\n2940 4450\n82447 100000\n30113 45115\n49668 74415\n81821 100000\n3067 4646\n23322 35008\n52813 79109\n42330 63394\n78300 100000\n41483 62126\n47557 71205\n5625 8479\n82278 100000\n66771 100000\n24121 36197\n73698 100000\n2133 3224\n17894 26864\n78899 100000\n89255 100000\n94785 100000\n22215 33373\n90266 100000\n59587 89337\n17645 26498\n87493 100000\n41778 62569\n48940 73314\n32817 49165\n14745 22181\n76342 100000\n68382 100000\n16276 24446\n16216 24354\n15529 23344\n39583 59237\n76132 100000\n81505 100000\n98888 100000\n81253 100000\n12167 18306\n72095 100000\n23574 35388\n76442 100000\n49529 74212\n20833 31299\n90710 100000\n61311 91920\n45038 67428\n4817 7275\n18720 28102\n80796 100000\n83422 100000\n8739 13149\n88705 100000\n57322 85905\n32190 48215\n56074 84017\n38948 58300\n79453 100000\n31346 46964\n26980 40443\n37268 55798\n43612 65290\n781 1169\n58699 87975\n45295 67809\n40662 60881\n17672 26541\n85574 100000\n96980 100000\n90109 100000\n5409 8163\n14891 22405\n88374 100000\n22110 33210\n79970 100000\n7057 10644\n50437 75557\n56537 84717\n30234 45303\n56008 83917\n68200 100000\n18057 27111\n31512 47206\n2743 4156\n23239 34889\n57133 85615\n87253 100000\n80989 100000\n22428 33687\n67833 100000\n94194 100000\n97012 100000\n9322 14020\n65235 97866\n59290 88875\n14016 21092\n62563 93831\n39427 59016\n3057 4633\n59576 89321\n96919 100000\n68279 100000\n95500 100000\n56290 84339\n57128 85607\n23019 34563\n50635 75863\n30486 45684\n24057 36098\n75896 100000\n91732 100000\n20429 30699\n77425 100000\n34929 52302\n98616 100000\n59503 89208\n29163 43709\n19218 28877\n68534 100000\n93923 100000\n37584 56261\n47575 71234\n30828 46194\n98747 100000\n61420 92087\n43004 64392\n88363 100000\n21881 32863\n73864 100000\n94673 100000\n39925 59768\n47210 70687\n45443 68032\n84848 100000\n47202 70674\n65248 97884\n15434 23204\n94793 100000\n69182 100000\n63039 94539\n82969 100000\n4052 6114\n46131 69058\n4720 7126\n99345 100000\n90256 100000\n8720 13116\n17551 26351\n66605 99907\n30154 45179\n77200 100000\n39130 58578\n207 308\n70601 100000\n42843 64155\n24161 36259\n42563 63739\n80933 100000\n53967 80845\n17518 26303\n24077 36128\n18565 27870\n31536 47240\n91053 100000\n16532 24827\n65823 98732\n79876 100000\n40829 61130\n59944 89876\n49039 73460\n63500 95226\n86972 100000\n41854 62693\n51886 77720\n20796 31244\n99764 100000\n43236 64741\n82789 100000\n54346 81415\n42936 64291\n65952 98929\n38489 57625\n33695 50484\n39438 59030\n58605 87829\n66389 99573\n14078 21193\n86843 100000\n6560 9901\n40636 60843\n74489 100000\n36234 54254\n31836 47693\n29763 44593\n56432 84559\n43790 65553\n68172 100000\n23011 34553\n38477 57604\n79 117\n33255 49822\n26013 39021\n26042 39068\n19132 28741\n94185 100000\n28957 43407\n26173 39268\n66325 99486\n48915 73281\n18697 28066\n32569 48778\n4099 6187\n78596 100000\n24592 36906\n86899 100000\n23353 35057\n97526 100000\n13996 21060\n58387 87512\n4872 7362\n33121 49615\n7087 10685\n50410 75521\n1937 2928\n57107 85577\n6618 9989\n86884 100000\n44029 65900\n96542 100000\n27169 40729\n88720 100000\n51790 77584\n45034 67421\n70037 100000\n37480 56108\n77642 100000\n75243 100000\n82931 100000\n11657 17554\n14728 22156\n73639 100000\n72469 100000\n22931 34435\n26123 39189\n78423 100000\n55203 82694\n43455 65060\n73113 100000\n935 1399\n80067 100000\n17561 26365\n57183 85688\n41405 62003\n94128 100000\n43070 64492\n79315 100000\n66707 100000\n27873 41784\n8906 13394\n83010 100000\n96468 100000\n7246 10921\n69069 100000\n98633 100000\n65967 98949\n9262 13933\n89492 100000\n71694 100000\n61633 92413\n64688 97024\n93585 100000\n32195 48222\n82993 100000\n58666 87924\n30365 45498\n8334 12544\n55934 83804\n79586 100000\n956 1433\n14905 22423\n61904 92825\n80753 100000\n72132 100000\n68256 100000\n81927 100000\n97232 100000\n42645 63856\n43468 65080\n93396 100000\n25151 37727\n52370 78439\n92408 100000\n55796 83591\n65115 97681\n75207 100000\n86009 100000\n86264 100000\n65607 98408\n57437 86076\n73339 100000\n8400 12640\n33767 50586\n26613 39906\n9792 14727\n73553 100000\n29512 44220\n75598 100000\n20604 30954\n2563 3885\n64129 96184\n48068 71984\n65847 98771\n78222 100000\n57901 86782\n38317 57363\n11226 16919\n37092 55535\n47773 71525\n71675 100000\n54807 82107\n20585 30928\n36425 54550\n47214 70695\n86324 100000\n40482 60611\n32163 48174\n49881 74744\n75831 100000\n18397 27617\n61593 92356\n15456 23237\n45293 67807\n10388 15630\n65012 97521\n7219 10883\n58736 88033\n82936 100000\n54903 82244\n44930 67273\n42770 64046\n56697 84965\n70613 100000\n85412 100000\n59384 89025\n16392 24614\n64543 96809\n53315 79855\n34648 51888\n74978 100000\n12663 19062\n61496 92206\n99155 100000\n8310 12508\n59876 89774\n57807 86640\n91729 100000\n98363 100000\n44239 66222\n4146 6256\n50059 75006\n72656 100000\n34067 51040\n4844 7315\n35057 52492\n55392 82982\n78014 100000\n51616 77330\n77123 100000\n27380 41056\n17956 26958\n51908 77752\n23254 34912\n64995 97498\n45850 68644\n51917 77765\n29874 44761\n94470 100000\n31099 46586\n17998 27019\n99514 100000\n65391 98093\n28310 42447\n23465 35226\n4569 6896\n80116 100000\n85813 100000\n94206 100000\n68026 100000\n90516 100000\n19518 29330\n38515 57662\n457 684\n29241 43816\n14877 22381\n12235 18414\n55519 83174\n57139 85622\n17703 26586\n38047 56956\n27551 41307\n31618 47367\n99243 100000\n96295 100000\n88701 100000\n49161 73650\n25933 38908\n82605 100000\n45691 68403\n64600 96895\n13270 19978\n62505 93743\n30169 45202\n16837 25274\n78750 100000\n50522 75690\n92941 100000\n69850 100000\n109 159\n76146 100000\n39726 59452\n71470 100000\n37986 56862\n99389 100000\n84451 100000\n65953 98930\n54648 81866\n38966 58326\n44195 66154\n95958 100000\n78969 100000\n87728 100000\n83320 100000\n10640 16012\n50637 75867\n95822 100000\n61104 91610\n22096 33188\n51332 76911\n2705 4098\n28571 42839\n45632 68316\n7182 10827\n13670 20573\n22806 34245\n74933 100000\n82666 100000\n41842 62675\n37803 56594\n20100 30197\n11599 17467\n89505 100000\n94399 100000\n95052 100000\n2482 3763\n33949 50860\n98893 100000\n62466 93689\n58847 88201\n59411 89069\n64771 97150\n78477 100000\n15851 23813\n1395 2084\n8661 13030\n89545 100000\n69088 100000\n61338 91960\n39894 59722\n79038 100000\n64650 96970\n80932 100000\n58951 88352\n22420 33676\n49582 74287\n94387 100000\n83301 100000\n77400 100000\n11145 16792\n78914 100000\n12256 18449\n34972 52366\n11968 18007\n36139 54105\n79072 100000\n90771 100000\n61825 92702\n77371 100000\n26440 39662\n13084 19691\n48613 72817\n81351 100000\n81996 100000\n16501 24780\n37966 56835\n89053 100000\n30792 46144\n50760 76053\n59332 88941\n44345 66382\n79019 100000\n98319 100000\n83098 100000\n75925 100000\n79780 100000\n18311 27493\n91900 100000\n41662 62391\n17000 25521\n52866 79186\n31011 46460\n60780 91128\n40463 60582\n87417 100000\n35954 53822\n27326 40967\n17424 26162\n36061 53987\n51287 76844\n82896 100000\n75735 100000\n98063 100000\n49799 74614\n5917 8942\n59950 89885\n34282 51363\n2253 3410\n57788 86609\n45434 68019\n37436 56040\n23878 35832\n65449 98180\n16027 24066\n87504 100000\n565 846\n42140 63105\n74990 100000\n36486 54642\n3553 5361\n59816 89680\n25144 37719\n59811 89674\n35991 53881\n48081 72005\n36090 54030\n60712 91028\n35158 52635\n85315 100000\n96579 100000\n41090 61529\n80010 100000\n43405 64990\n29069 43574\n86244 100000\n6148 9281\n66618 99926\n86355 100000\n96224 100000\n95210 100000\n87930 100000\n17717 26606\n316 474\n94744 100000\n65339 98018\n73622 100000\n31548 47258\n40693 60926\n6081 9177\n51970 77842\n94740 100000\n31407 47053\n59764 89611\n42313 63368\n58656 87907\n78021 100000\n23109 34697\n1466 2189\n45992 68852\n12000 18057\n33278 49858\n87505 100000\n7419 11176\n23560 35369\n57701 86486\n96802 100000\n23895 35856\n91211 100000\n17019 25547\n91131 100000\n29149 43689\n17516 26299\n57780 86597\n11171 16834\n87285 100000\n70419 100000\n24281 36438\n774 1157\n85095 100000\n55909 83761\n93506 100000\n75638 100000\n92550 100000\n41153 61623\n44235 66216\n89552 100000\n46492 69609\n89842 100000\n26966 40424\n28049 42055\n90382 100000\n27730 41570\n28753 43101\n36966 55343\n89958 100000\n5030 7591\n11761 17712\n43068 64489\n45309 67827\n99696 100000\n26939 40385\n31854 47720\n21104 31703\n43022 64417\n74930 100000\n87318 100000\n89190 100000\n27611 41395\n47544 71185\n41501 62148\n4579 6914\n42508 63661\n8443 12703\n23512 35298\n59035 88481\n5324 8034\n51055 76492\n96347 100000\n82998 100000\n26633 39934\n24794 37195\n36428 54554\n49200 73709\n58065 87032\n37863 56673\n14433 21714\n36458 54599\n86927 100000\n94706 100000\n40278 60300\n69098 100000\n67721 100000\n35436 53053\n48489 72624\n92435 100000\n86267 100000\n37477 56104\n62606 93893\n75520 100000\n8202 12343\n99250 100000\n19889 29882\n5442 8213\n48115 72049\n12765 19215\n381 575\n95573 100000\n77134 100000\n89166 100000\n4346 6560\n11777 17737\n81487 100000\n12918 19446\n86628 100000\n90272 100000\n67412 100000\n30620 45890\n48548 72715\n82763 100000\n28252 42363\n88241 100000\n3027 4589\n41491 62134\n32952 49368\n33961 50880\n76034 100000\n46108 69026\n85435 100000\n66916 100000\n25604 38413\n7671 11554\n53120 79566\n62583 93858\n79994 100000\n67401 100000\n30990 46429\n92781 100000\n7721 11630\n1667 2501\n71957 100000\n76692 100000\n44437 66519\n17917 26898\n35643 53362\n48660 72887\n30472 45664\n89765 100000\n64271 96404\n51849 77671\n99180 100000\n33173 49692\n58700 87977\n93498 100000\n58156 87168\n93121 100000\n77148 100000\n35413 53012\n70962 100000\n5314 8020\n11762 17714\n60267 90353\n80298 100000\n90780 100000\n75959 100000\n50350 75435\n30658 45951\n6173 9317\n5514 8323\n10555 15884\n37626 56324\n67271 100000\n66478 99712\n92812 100000\n59014 88446\n11660 17560\n1181 1770\n81883 100000\n71684 100000\n3179 4812\n57154 85644\n60463 90653\n38927 58265\n92216 100000\n17013 25539\n57697 86481\n18808 28237\n23582 35401\n43592 65256\n47720 71442\n42646 63858\n71165 100000\n93639 100000\n25809 38723\n78556 100000\n87563 100000\n56270 84312\n30309 45419\n78546 100000\n78435 100000\n51755 77532\n544 813\n94518 100000\n8829 13281\n78002 100000\n37479 56107\n99333 100000\n14979 22535\n24719 37093\n28854 43253\n71884 100000\n63784 95668\n2607 3951\n23517 35306\n72110 100000\n29826 44691\n44493 66605\n28758 43108\n75793 100000\n99023 100000\n47591 71257\n24368 36573\n48199 72181\n54000 80897\n58390 87516\n39247 58748\n23479 35246\n20134 30244\n5719 8623\n89686 100000\n46050 68937\n39577 59227\n59596 89351\n79390 100000\n57977 86900\n16490 24765\n63445 95138\n94825 100000\n43817 65589\n40212 60205\n90752 100000\n70946 100000\n81409 100000\n90148 100000\n22989 34520\n49091 73543\n68103 100000\n86812 100000\n74066 100000\n48127 72066\n62974 94447\n49808 74629\n35949 53815\n67849 100000\n83568 100000\n59981 89929\n35766 53538\n79885 100000\n12708 19128\n97578 100000\n664 991\n61851 92743\n70529 100000\n27658 41467\n46824 70101\n48005 71886\n64326 96487\n72037 100000\n38850 58154\n27779 41645\n41936 62803\n14658 22049\n9746 14656\n72573 100000\n21783 32714\n10600 15952\n45640 68326\n60853 91230\n42880 64208\n61842 92729\n71066 100000\n49772 74572\n71795 100000\n90648 100000\n18330 27520\n88542 100000\n32795 49128\n69832 100000\n6049 9134\n20895 31395\n97296 100000\n86502 100000\n80608 100000\n75661 100000\n76240 100000\n90637 100000\n85769 100000\n14036 21123\n36013 53915\n82878 100000\n71493 100000\n81307 100000\n14014 21088\n22617 33968\n87881 100000\n98455 100000\n41075 61503\n34875 52226\n48275 72298\n57218 85738\n31623 47376\n96127 100000\n64061 96082\n88882 100000\n59221 88766\n22571 33898\n19025 28574\n13795 20747\n70663 100000\n95888 100000\n52777 79049\n65628 98440\n41025 61430\n16621 24948\n17193 25804\n1277 1912\n95454 100000\n98091 100000\n84198 100000\n22790 34222\n38407 57503\n8153 12269\n2676 4052\n99418 100000\n46707 69936\n87283 100000\n6955 10505\n98124 100000\n37172 55654\n98368 100000\n75483 100000\n39809 59588\n38896 58221\n57759 86571\n48583 72767\n45669 68371\n5258 7937\n48524 72677\n35149 52619\n94330 100000\n65838 98754\n40078 60002\n27849 41749\n67021 100000\n17944 26939\n22408 33662\n7600 11449\n15370 23114\n70698 100000\n52942 79303\n60556 90790\n58369 87481\n21678 32560\n19434 29203\n60822 91187\n50408 75518\n26503 39752\n11389 17158\n55892 83738\n24565 36861\n95250 100000\n15723 23628\n51669 77404\n22944 34454\n57681 86453\n5648 8514\n47274 70786\n43713 65439\n46642 69836\n76987 100000\n44199 66159\n18506 27781\n73383 100000\n33650 50422\n97944 100000\n89967 100000\n41578 62264\n55521 83177\n68612 100000\n34306 51400\n47129 70558\n20310 30512\n69562 100000\n21004 31547\n56184 84185\n82188 100000\n92761 100000\n11834 17820\n66718 100000\n97053 100000\n64194 96287\n12685 19096\n1276 1910\n33421 50072\n58555 87757\n22252 33427\n47162 70610\n32640 48889\n22758 34177\n87942 100000\n11647 17541\n97086 100000\n65635 98449\n31637 47395\n3617 5454\n82410 100000\n81816 100000\n81370 100000\n19182 28821\n30737 46063\n74890 100000\n45119 67549\n44044 65922\n4479 6755\n87518 100000\n24546 36833\n16406 24634\n3142 4758\n64176 96257\n47890 71712\n14012 21084\n72615 100000\n68845 100000\n51334 76914\n16883 25346\n40512 60654\n94270 100000\n13618 20496\n81521 100000\n426 638\n25939 38916\n60768 91112\n15787 23722\n69679 100000\n90630 100000\n23789 35707\n30034 44999\n99313 100000\n97470 100000\n39294 58815\n9239 13899\n24328 36512\n57627 86371\n26968 40426\n15639 23501\n17504 26282\n78498 100000\n82691 100000\n57905 86790\n4859 7339\n13571 20424\n43759 65512\n20949 31473\n41267 61798\n56341 84419\n45551 68192\n29407 44067\n82662 100000\n46350 69392\n43491 65115\n30964 46392\n66921 100000\n14581 21932\n19443 29215\n65145 97729\n97133 100000\n97438 100000\n4731 7144\n18664 28021\n28865 43269\n53530 80176\n390 588\n60278 90370\n64778 97163\n33728 50528\n61103 91609\n78273 100000\n19380 29125\n27515 41255\n48709 72963\n86598 100000\n87756 100000\n63587 95363\n48759 73043\n83374 100000\n61723 92549\n38166 57132\n66846 100000\n35782 53562\n40226 60223\n60024 89994\n92991 100000\n87994 100000\n31853 47718\n23600 35428\n17628 26469\n26823 40213\n45342 67878\n19525 29340\n6407 9664\n91589 100000\n2295 3469\n23112 34701\n96429 100000\n86932 100000\n36609 54821\n74442 100000\n33436 50094\n81314 100000\n47622 71303\n54645 81861\n74910 100000\n49736 74520\n6014 9083\n52307 78348\n63248 94852\n11929 17950\n23264 34925\n16988 25502\n89875 100000\n71382 100000\n80879 100000\n24120 36195\n73435 100000\n90559 100000\n6052 9138\n44060 65945\n14052 21148\n71051 100000\n39493 59105\n9739 14644\n67430 100000\n45844 68634\n28213 42307\n47905 71734\n21745 32655\n64997 97501\n27998 41972\n50558 75749\n14649 22036\n62231 93326\n52776 79047\n67792 100000\n75920 100000\n43974 65818\n59622 89389\n70206 100000\n17722 26612\n34258 51328\n13601 20467\n36581 54781\n56580 84783\n3807 5736\n40378 60452\n35297 52841\n54151 81123\n94049 100000\n651 971\n13686 20596\n4529 6832\n30520 45734\n90137 100000\n71616 100000\n79706 100000\n65615 98421\n55792 83587\n10331 15546\n82708 100000\n48417 72518\n44011 65873\n46220 69196\n53490 80118\n14189 21360\n34877 52229\n38186 57164\n24885 37333\n65029 97548\n75227 100000\n44710 66945\n11470 17277\n80362 100000\n46000 68866\n58265 87330\n64411 96611\n58737 88035\n9922 14927\n87129 100000\n24308 36477\n93744 100000\n24911 37370\n76145 100000\n56040 83966\n39044 58450\n65398 98103\n78264 100000\n9025 13569\n20908 31413\n50461 75594\n24688 37048\n10254 15432\n8239 12400\n44520 66643\n10851 16337\n6993 10561\n21636 32496\n54999 82382\n15151 22788\n10205 15350\n52133 78079\n2085 3153\n48353 72418\n83044 100000\n99820 100000\n39452 59049\n7627 11492\n98104 100000\n93763 100000\n74624 100000\n48427 72534\n7517 11329\n44124 66046\n94153 100000\n94775 100000\n59929 89853\n90368 100000\n38122 57068\n41793 62593\n53040 79445\n93440 100000\n26344 39520\n34858 52196\n63320 94960\n15812 23760\n86395 100000\n73861 100000\n55576 83263\n42639 63848\n79841 100000\n85720 100000\n89055 100000\n79236 100000\n9926 14932\n17155 25752\n27377 41052\n83928 100000\n48964 73349\n57821 86659\n9624 14469\n17491 26261\n17006 25529\n44652 66850\n72382 100000\n52423 78522\n97364 100000\n26136 39209\n70397 100000\n93473 100000\n97483 100000\n9804 14745\n55281 82810\n74410 100000\n50215 75232\n16963 25462\n87636 100000\n86483 100000\n93510 100000\n4167 6291\n3459 5222\n37567 56237\n99106 100000\n81850 100000\n1506 2252\n23203 34837\n72860 100000\n64272 96406\n13006 19580\n67786 100000\n12995 19562\n56735 85023\n33970 50893\n62891 94325\n76437 100000\n69528 100000\n24256 36397\n11805 17778\n30963 46390\n47386 70955\n90876 100000\n16570 24881\n23172 34792\n9905 14901\n27442 41145\n24981 37472\n4943 7465\n58862 88224\n72177 100000\n99543 100000\n20008 30064\n33597 50335\n21245 31908\n40679 60905\n6317 9530\n27353 41013\n59480 89169\n9259 13930\n87604 100000\n46563 69725\n10425 15687\n3412 5155\n82302 100000\n85050 100000\n89882 100000\n29406 44065\n66805 100000\n12485 18795\n49764 74560\n19448 29223\n78332 100000\n21258 31926\n65294 97953\n39090 58514\n18762 28163\n82382 100000\n99488 100000\n72995 100000\n61048 91521\n77247 100000\n49199 73708\n63053 94559\n83195 100000\n83037 100000\n22821 34268\n69580 100000\n56110 84074\n88018 100000\n88517 100000\n31827 47681\n26079 39123\n42422 63534\n12133 18256\n38100 57035\n77308 100000\n56308 84368\n72601 100000\n17208 25828\n60743 91077\n68262 100000\n92909 100000\n76486 100000\n11029 16612\n63656 95471\n84038 100000\n31500 47188\n46282 69296\n79950 100000\n8274 12454\n34266 51340\n78454 100000\n68011 100000\n86525 100000\n72965 100000\n85839 100000\n68544 100000\n48934 73306\n27904 41829\n29205 43761\n63271 94886\n17423 26160\n80804 100000\n22037 33093\n17989 27006\n18844 28294\n75389 100000\n51715 77472\n56295 84346\n73532 100000\n86913 100000\n24412 36639\n15970 23985\n42586 63772\n50576 75777\n86412 100000\n12582 18943\n81455 100000\n6873 10383\n2828 4277\n54206 81203\n87978 100000\n32882 49264\n5195 7842\n23285 34956\n21218 31867\n31924 47829\n86574 100000\n11386 17154\n73160 100000\n52236 78237\n5463 8245\n51156 76646\n40123 60071\n82031 100000\n94743 100000\n87697 100000\n7076 10669\n81358 100000\n15673 23552\n64155 96225\n42885 64214\n77506 100000\n71452 100000\n87388 100000\n7782 11718\n1477 2209\n64573 96855\n84936 100000\n69271 100000\n23891 35850\n79533 100000\n80628 100000\n37495 56131\n43640 65335\n87227 100000\n2034 3070\n11250 16953\n58400 87532\n28997 43464\n45630 68313\n34647 51886\n73706 100000\n31261 46839\n35878 53710\n3286 4970\n18115 27202\n92725 100000\n63530 95275\n62099 93127\n76553 100000\n59109 88594\n75755 100000\n46384 69443\n46812 70082\n71063 100000\n13969 21018\n34417 51562\n49947 74839\n36118 54071\n29958 44880\n26376 39569\n29039 43529\n46320 69348\n98744 100000\n44358 66402\n91929 100000\n65291 97949\n2225 3367\n22625 33978\n67399 100000\n44540 66674\n70976 100000\n3851 5803\n46010 68878\n75722 100000\n6321 9537\n71238 100000\n38102 57038\n88178 100000\n97729 100000\n33637 50401\n78565 100000\n38459 57578\n37340 55902\n69032 100000\n11626 17507\n38475 57600\n3782 5697\n78717 100000\n7922 11931\n88164 100000\n68660 100000\n9515 14309\n26431 39649\n77284 100000\n19421 29185\n88275 100000\n56174 84170\n17470 26229\n88193 100000\n60508 90722\n74378 100000\n65462 98197\n94761 100000\n16140 24237\n78159 100000\n73786 100000\n60104 90110\n74765 100000\n30877 46266\n24293 36453\n67656 100000\n87611 100000\n89443 100000\n49967 74870\n76354 100000\n85301 100000\n10889 16396\n36437 54568\n6299 9501\n28702 43028\n39991 59867\n14092 21217\n8054 12130\n6847 10345\n10906 16425\n65450 98181\n72242 100000\n10869 16364\n67054 100000\n97711 100000\n18652 27999\n57295 85861\n94371 100000\n88029 100000\n42409 63515\n28398 42577\n34329 51431\n84536 100000\n97721 100000\n60865 91244\n87199 100000\n28812 43185\n20131 30241\n44323 66350\n67474 100000\n95846 100000\n44883 67203\n51736 77502\n19785 29715\n34330 51432\n71148 100000\n24381 36594\n14826 22303\n44532 66661\n23639 35484\n38007 56895\n47057 70453\n54898 82238\n87060 100000\n66986 100000\n15275 22969\n43116 64560\n86752 100000\n67929 100000\n25373 38059\n37510 56150\n4856 7333\n57212 85730\n89818 100000\n48421 72525\n20934 31452\n67295 100000\n15294 22995\n81638 100000\n29942 44859\n35800 53586\n96388 100000\n10979 16531\n28421 42612\n68039 100000\n25340 38012\n5490 8285\n38450 57564\n63608 95395\n1487 2225\n20644 31016\n6690 10100\n47326 70865\n88487 100000\n84358 100000\n44952 67307\n5477 8266\n36660 54904\n42318 63377\n55612 83314\n60975 91408\n26678 40001\n28400 42581\n85679 100000\n30514 45726\n6327 9546\n38427 57531\n52348 78411\n48905 73264\n55678 83415\n35585 53281\n29019 43495\n86018 100000\n55151 82612\n34805 52123\n59328 88933\n26676 39997\n89669 100000\n49404 74026\n91103 100000\n14126 21265\n8999 13534\n7152 10782\n95615 100000\n32299 48376\n89616 100000\n2147 3246\n10400 15651\n53026 79422\n52843 79153\n48205 72191\n61026 91490\n87837 100000\n45874 68682\n67845 100000\n6799 10269\n10849 16335\n79555 100000\n44440 66522\n37441 56047\n22547 33866\n33286 49871\n35250 52770\n46007 68875\n47698 71414\n51144 76626\n9339 14048\n19636 29505\n56782 85092\n63375 95037\n58327 87423\n90041 100000\n2971 4501\n36997 55388\n48810 73124\n35092 52543\n91265 100000\n16307 24492\n61118 91633\n47777 71533\n6797 10266\n48991 73391\n67382 100000\n31640 47399\n55602 83299\n21095 31687\n28775 43133\n83955 100000\n69651 100000\n97046 100000\n79907 100000\n38445 57558\n66062 99088\n11510 17336\n27068 40578\n27854 41757\n63898 95842\n2020 3046\n23787 35703\n28401 42583\n28554 42812\n34120 51121\n84996 100000\n23720 35608\n66319 99476\n50163 75155\n42781 64063\n40922 61279\n98289 100000\n12784 19246\n8933 13433\n92430 100000\n45880 68691\n71350 100000\n96813 100000\n79305 100000\n37617 56311\n81422 100000\n23814 35742\n25421 38135\n27237 40834\n7190 10839\n40414 60506\n25284 37928\n34762 52059\n56494 84649\n28050 42057\n89330 100000\n68013 100000\n87805 100000\n41856 62695\n78773 100000\n77038 100000\n40758 61019\n27711 41545\n21539 32350\n66263 99389\n36846 55166\n69802 100000\n59356 88979\n36745 55024\n41900 62754\n73912 100000\n97918 100000\n19122 28727\n36156 54131\n34789 52102\n72232 100000\n96423 100000\n40079 60003\n2784 4209\n86921 100000\n85293 100000\n45670 68372\n58202 87233\n33641 50409\n88149 100000\n98559 100000\n37964 56831\n83579 100000\n33126 49620\n65045 97571\n68459 100000\n1217 1819\n76210 100000\n2611 3958\n26651 39958\n21209 31854\n6307 9515\n95016 100000\n43670 65374\n85898 100000\n80542 100000\n19994 30041\n33614 50365\n72246 100000\n53177 79647\n29773 44609\n96788 100000\n19130 28738\n74347 100000\n74937 100000\n62603 93888\n18755 28151\n2244 3396\n45217 67694\n50133 75111\n90091 100000\n22595 33935\n79023 100000\n6535 9866\n54411 81510\n37375 55950\n5829 8800\n32720 49015\n82553 100000\n43446 65048\n87334 100000\n35164 52643\n50553 75741\n26711 40052\n92451 100000\n98673 100000\n76237 100000\n7688 11580\n21679 32561\n9657 14521\n87201 100000\n70340 100000\n81892 100000\n80715 100000\n16449 24700\n32575 48787\n83414 100000\n92286 100000\n44746 67000\n1462 2182\n442 660\n88177 100000\n81529 100000\n32772 49093\n50070 75024\n5985 9044\n84016 100000\n44840 67137\n70780 100000\n67900 100000\n80036 100000\n65007 97513\n8151 12265\n75694 100000\n22533 33843\n88380 100000\n83019 100000\n24320 36497\n22602 33945\n67647 100000\n91432 100000\n54472 81603\n11331 17078\n46869 70158\n88879 100000\n67899 100000\n77451 100000\n62439 93645\n59336 88946\n47175 70630\n47418 71000\n55290 82826\n4218 6368\n87712 100000\n93124 100000\n42628 63832\n59147 88651\n35017 52430\n45329 67859\n6624 9999\n69257 100000\n61733 92563\n33514 50209\n12917 19444\n11499 17319\n2565 3887\n52630 78834\n54281 81320\n72885 100000\n79967 100000\n9001 13537\n38778 58038\n44048 65928\n18081 27148\n51494 77157\n35031 52451\n65262 97907\n79945 100000\n151 219\n52134 78081\n19672 29552\n68292 100000\n27581 41354\n4003 6033\n91936 100000\n30465 45655\n48697 72946\n29131 43663\n9899 14892\n61163 91699\n959 1438\n82887 100000\n60106 90113\n57247 85784\n24243 36376\n96837 100000\n68803 100000\n12618 18997\n16993 25511\n65195 97806\n89922 100000\n47268 70777\n57173 85675\n21594 32430\n3677 5537\n34124 51127\n22930 34433\n33554 50268\n24099 36163\n79283 100000\n84138 100000\n36307 54364\n9346 14057\n56171 84166\n62531 93783\n76318 100000\n56168 84161\n52755 79017\n80606 100000\n38895 58219\n10079 15164\n20053 30126\n22529 33838\n23935 35918\n5451 8227\n14876 22380\n12874 19380\n30513 45725\n92039 100000\n3207 4851\n87381 100000\n87839 100000\n34883 52239\n56116 84083\n37134 55598\n3857 5813\n95 140\n16437 24682\n10226 15386\n2981 4518\n6312 9522\n84518 100000\n98000 100000\n60097 90101\n82389 100000\n23921 35896\n43775 65535\n98211 100000\n36240 54261\n70577 100000\n89139 100000\n25332 38000\n46017 68887\n39394 58964\n15608 23456\n53622 80316\n95109 100000\n72073 100000\n80675 100000\n4793 7237\n19063 28632\n93255 100000\n57847 86697\n35617 53325\n54409 81507\n41416 62020\n43052 64463\n94212 100000\n25872 38821\n18413 27639\n86340 100000\n14150 21301\n6101 9205\n61035 91502\n4666 7048\n69812 100000\n26513 39763\n44638 66829\n15088 22695\n83819 100000\n58485 87656\n70667 100000\n74989 100000\n87062 100000\n17960 26963\n43940 65767\n37220 55724\n4667 7050\n81363 100000\n7863 11840\n74546 100000\n70249 100000\n19383 29131\n28905 43328\n73400 100000\n35662 53392\n23023 34570\n7274 10962\n99896 100000\n17490 26260\n39497 59111\n25728 38602\n98381 100000\n85298 100000\n57702 86488\n5892 8903\n4890 7386\n90502 100000\n2379 3607\n31589 47320\n62006 92990\n55466 83096\n80400 100000\n54730 81987\n13717 20642\n19013 28558\n54809 82109\n17709 26594\n34593 51809\n3662 5515\n13144 19783\n31257 46833\n49206 73718\n2735 4144\n98468 100000\n77325 100000\n4532 6836\n69701 100000\n85030 100000\n30422 45593\n3424 5170\n40231 60231\n34192 51230\n39096 58524\n98778 100000\n83446 100000\n12486 18796\n15926 23924\n99003 100000\n73061 100000\n18178 27290\n84215 100000\n11471 17278\n89231 100000\n93681 100000\n52353 78418\n56801 85123\n99519 100000\n1679 2520\n80910 100000\n43783 65545\n36157 54132\n92349 100000\n78304 100000\n12126 18245\n70824 100000\n52028 77928\n77481 100000\n86929 100000\n77949 100000\n93433 100000\n20928 31443\n12207 18370\n75787 100000\n62787 94169\n50119 75092\n49547 74237\n82992 100000\n40668 60892\n72594 100000\n68176 100000\n52149 78103\n79761 100000\n12166 18305\n44760 67018\n52468 78595\n41551 62224\n14927 22457\n58213 87250\n2274 3439\n79696 100000\n17899 26871\n57117 85591\n85996 100000\n50995 76403\n1088 1631\n15507 23310\n91601 100000\n26983 40447\n87373 100000\n18034 27073\n41330 61892\n64963 97450\n24347 36540\n22579 33910\n59923 89844\n2155 3259\n46359 69406\n72330 100000\n7525 11343\n71907 100000\n65988 98979\n77713 100000\n25648 38475\n87215 100000\n5475 8263\n12216 18385\n35475 53107\n25171 37757\n14324 21558\n68802 100000\n1133 1700\n38504 57646\n23394 35117\n50385 75489\n5219 7880\n44001 65856\n152 220\n49372 73973\n64908 97366\n93419 100000\n4728 7139\n44061 65946\n2959 4483\n90179 100000\n91678 100000\n42146 63115\n54683 81921\n77164 100000\n86587 100000\n70530 100000\n75291 100000\n25560 38342\n75947 100000\n75067 100000\n35488 53128\n41929 62794\n80876 100000\n53098 79533\n65078 97623\n51725 77486\n99137 100000\n93395 100000\n28465 42677\n51841 77660\n33694 50482\n76580 100000\n53991 80882\n18223 27359\n80246 100000\n34548 51746\n167 244\n2344 3549\n16873 25329\n36190 54185\n40981 61367\n70057 100000\n17562 26367\n21204 31847\n69982 100000\n64927 97395\n1450 2166\n86646 100000\n979 1467\n22321 33528\n32145 48149\n47551 71196\n82307 100000\n51335 76915\n23176 34798\n13446 20239\n84292 100000\n2029 3061\n52478 78610\n10446 15719\n6303 9509\n52752 79014\n49545 74234\n3313 5008\n65043 97568\n20110 30212\n48363 72434\n37249 55772\n98790 100000\n71937 100000\n92328 100000\n63923 95879\n89840 100000\n53887 80722\n25225 37841\n11119 16749\n65143 97725\n72563 100000\n64428 96638\n76551 100000\n52778 79051\n20880 31372\n10310 15513\n54893 82229\n1179 1768\n70562 100000\n31342 46958\n21705 32597\n96409 100000\n93844 100000\n53419 80013\n64605 96904\n23102 34686\n23950 35941\n15844 23804\n24315 36489\n95419 100000\n9712 14605\n17227 25857\n72870 100000\n3672 5531\n12648 19042\n16438 24683\n50823 76144\n25713 38576\n49402 74023\n120 172\n74406 100000\n41989 62880\n55017 82410\n10152 15273\n71298 100000\n43600 65269\n21734 32639\n5081 7674\n70761 100000\n52616 78814\n54684 81922\n86494 100000\n55937 83807\n43089 64519\n26085 39130\n70542 100000\n17494 26266\n62619 93913\n72342 100000\n81546 100000\n52631 78836\n16364 24572\n63575 95343\n26388 39585\n32423 48556\n49613 74335\n55187 82670\n85167 100000\n9831 14788\n89124 100000\n2603 3946\n69284 100000\n93739 100000\n96924 100000\n33079 49553\n12412 18682\n33534 50241\n13337 20075\n13274 19984\n83542 100000\n67589 100000\n90029 100000\n72370 100000\n42141 63107\n43804 65571\n81080 100000\n38779 58040\n558 835\n16323 24513\n1507 2253\n44596 66758\n82215 100000\n9819 14771\n87073 100000\n23722 35612\n54291 81334\n93283 100000\n58252 87309\n80693 100000\n35453 53076\n1602 2399\n71949 100000\n48102 72031\n87962 100000\n14451 21738\n24697 37062\n73241 100000\n48372 72449\n9990 15027\n24228 36354\n39416 58999\n6003 9070\n83990 100000\n25397 38095\n90685 100000\n81018 100000\n76288 100000\n80896 100000\n66160 99235\n24978 37468\n55463 83093\n19708 29603\n35968 53843\n53830 80636\n80922 100000\n3916 5898\n99548 100000\n28268 42388\n92355 100000\n58753 88062\n85639 100000\n81034 100000\n51976 77851\n14917 22441\n72968 100000\n48049 71953\n62183 93253\n98820 100000\n53559 80222\n29409 44070\n10401 15653\n516 768\n25760 38648\n6122 9241\n13179 19838\n68102 100000\n57742 86548\n32237 48287\n56775 85082\n41245 61769\n98200 100000\n33799 50633\n1567 2350\n47048 70438\n11966 18005\n28066 42082\n74784 100000\n44948 67300\n90450 100000\n40012 59901\n18396 27615\n53356 79917\n5009 7560\n52182 78153\n14411 21683\n56760 85059\n24384 36598\n40373 60446\n21943 32957\n5984 9043\n95255 100000\n3187 4824\n9352 14067\n99126 100000\n3811 5742\n46844 70124\n3408 5149\n3008 4557\n32477 48637\n46427 69506\n72846 100000\n25389 38084\n11181 16848\n46820 70095\n94074 100000\n45028 67412\n6273 9461\n86542 100000\n85395 100000\n45289 67801\n77822 100000\n27774 41637\n66496 99743\n25710 38572\n34076 51055\n29266 43856\n6558 9897\n97544 100000\n50226 75249\n85641 100000\n32024 47973\n62967 94438\n79906 100000\n4014 6050\n17916 26896\n14314 21544\n31969 47895\n57079 85538\n7123 10738\n10506 15806\n23488 35259\n96269 100000\n11961 17998\n52060 77972\n58540 87734\n57623 86365\n60302 90406\n39244 58744\n99685 100000\n700 1046\n52232 78231\n9918 14922\n46339 69376\n17035 25571\n6662 10053\n25005 37512\n70389 100000\n42169 63153\n94556 100000\n79565 100000\n75898 100000\n95852 100000\n29507 44214\n74228 100000\n69595 100000\n94521 100000\n22508 33809\n29453 44136\n80259 100000\n23611 35444\n5142 7764\n4791 7235\n10817 16292\n67025 100000\n45565 68215\n70646 100000\n61537 92270\n78178 100000\n88504 100000\n97497 100000\n31193 46734\n79779 100000\n95443 100000\n41443 62061\n29352 43982\n92253 100000\n64550 96818\n91042 100000\n27729 41568\n96192 100000\n30447 45625\n1961 2960\n34446 51603\n2753 4168\n25381 38071\n33283 49865\n13462 20260\n18716 28096\n6886 10401\n23576 35391\n46607 69787\n57396 86011\n95260 100000\n21159 31780\n20801 31252\n62578 93849\n73560 100000\n75078 100000\n51127 76600\n70919 100000\n59260 88829\n67977 100000\n4393 6630\n60956 91379\n73917 100000\n50031 74965\n64067 96092\n44897 67225\n42009 62908\n90662 100000\n37664 56380\n91365 100000\n53825 80630\n39831 59623\n33346 49956\n99063 100000\n90796 100000\n91543 100000\n41138 61601\n96901 100000\n53824 80629\n34732 52013\n39751 59491\n16818 25249\n39505 59122\n88154 100000\n93746 100000\n97536 100000\n14739 22172\n80938 100000\n2485 3768\n28613 42902\n94772 100000\n65258 97901\n73980 100000\n95375 100000\n61204 91761\n87499 100000\n69449 100000\n29078 43584\n23367 35079\n39619 59291\n50306 75368\n34886 52242\n69436 100000\n96576 100000\n83966 100000\n79877 100000\n87319 100000\n5453 8230\n10352 15579\n38336 57394\n47658 71354\n27571 41339\n18759 28158\n67169 100000\n7355 11081\n55068 82487\n59642 89419\n3695 5567\n15437 23207\n47857 71657\n91192 100000\n33298 49887\n47253 70755\n70263 100000\n42669 63895\n82309 100000\n99138 100000\n62389 93560\n29233 43804\n95667 100000\n53691 80422\n2105 3179\n27357 41019\n26461 39692\n99483 100000\n5363 8094\n57204 85719\n24631 36964\n44241 66226\n61866 92766\n45050 67447\n29979 44913\n26849 40252\n90694 100000\n15648 23515\n24647 36985\n96589 100000\n10673 16065\n10085 15175\n8889 13372\n52703 78937\n23575 35389\n9241 13902\n31264 46843\n40345 60399\n12843 19332\n24439 36681\n39375 58936\n12087 18186\n21294 31975\n16234 24382\n85829 100000\n70847 100000\n24246 36380\n50427 75542\n70209 100000\n68522 100000\n16113 24195\n93023 100000\n11802 17773\n77557 100000\n21715 32612\n49262 73799\n70255 100000\n72103 100000\n9447 14205\n21724 32623\n97561 100000\n48408 72505\n69360 100000\n7462 11243\n76428 100000\n25661 38496\n29036 43524\n33679 50463\n16226 24370\n87056 100000\n25230 37848\n94221 100000\n17702 26585\n62627 93925\n36010 53911\n40475 60601\n68255 100000\n15799 23739\n57921 86816\n61876 92781\n45035 67423\n6437 9709\n3384 5114\n42338 63407\n88170 100000\n78814 100000\n60731 91059\n96492 100000\n94285 100000\n20903 31404\n80450 100000\n16102 24181\n95861 100000\n77858 100000\n78776 100000\n54487 81628\n7902 11898\n72387 100000\n70437 100000\n7940 11959\n67002 100000\n42667 63892\n57516 86200\n67852 100000\n82736 100000\n56715 84991\n17590 26408\n29543 44266\n922 1376\n16709 25079\n13687 20597\n56646 84889\n12739 19176\n18415 27642\n99713 100000\n38507 57651\n52596 78786\n89149 100000\n31113 46606\n89289 100000\n29776 44614\n91120 100000\n38715 57942\n9985 15020\n88357 100000\n5187 7832\n36200 54201\n11312 17049\n55828 83641\n91885 100000\n49579 74283\n91579 100000\n47665 71365\n90994 100000\n9309 14000\n71891 100000\n91183 100000\n80332 100000\n70128 100000\n90370 100000\n10599 15951\n72019 100000\n51134 76610\n97018 100000\n61385 92031\n3335 5043\n85350 100000\n29915 44821\n20011 30067\n85504 100000\n79174 100000\n10071 15151\n89730 100000\n76498 100000\n9948 14964\n44469 66570\n11874 17875\n84143 100000\n36994 55384\n16117 24202\n68372 100000\n81966 100000\n98185 100000\n35748 53511\n37071 55500\n38189 57169\n8796 13232\n8863 13333\n10376 15615\n8176 12304\n93934 100000\n76003 100000\n22171 33301\n49269 73810\n4268 6444\n73690 100000\n32181 48202\n33259 49828\n2023 3050\n119 171\n20804 31258\n83992 100000\n49666 74412\n36661 54905\n46602 69781\n41740 62507\n33608 50354\n52100 78033\n66638 99958\n74016 100000\n78200 100000\n38993 58371\n36412 54526\n96741 100000\n38360 57432\n8094 12186\n74683 100000\n37808 56602\n14645 22029\n50747 76033\n50256 75293\n2731 4137\n51607 77317\n93362 100000\n44479 66585\n83749 100000\n92554 100000\n39009 58397\n16630 24959\n17145 25734\n91764 100000\n70377 100000\n27942 41888\n6700 10119\n74088 100000\n11530 17367\n21161 31783\n24436 36676\n71870 100000\n28580 42853\n43927 65750\n69366 100000\n53879 80708\n70996 100000\n28177 42256\n30764 46100\n26517 39769\n85624 100000\n90393 100000\n70937 100000\n5335 8053\n99688 100000\n9621 14464\n32759 49074\n71610 100000\n26514 39765\n43417 65008\n42267 63301\n5702 8600\n3785 5702\n67611 100000\n72722 100000\n19495 29295\n76119 100000\n79637 100000\n73687 100000\n1629 2442\n68725 100000\n73983 100000\n8339 12552\n69089 100000\n92312 100000\n13878 20880\n61526 92253\n70538 100000\n7026 10604\n64114 96161\n93112 100000\n62381 93547\n18441 27683\n34472 51640\n9114 13698\n27931 41873\n31453 47117\n1876 2833\n10059 15133\n37009 55406\n51283 76839\n57335 85924\n11723 17653\n84131 100000\n67136 100000\n35111 52568\n74013 100000\n22772 34197\n79776 100000\n50588 75793\n76730 100000\n76993 100000\n77891 100000\n19865 29844\n97531 100000\n18029 27067\n31751 47569\n41902 62757\n13656 20553\n64741 97104\n75752 100000\n47569 71223\n25741 38618\n25586 38384\n18873 28341\n15677 23559\n72927 100000\n8981 13509\n12242 18427\n14883 22391\n26996 40464\n4866 7351\n75131 100000\n37421 56018\n26603 39893\n87640 100000\n69279 100000\n19017 28564\n1454 2171\n41116 61566\n62763 94134\n36816 55125\n84251 100000\n4711 7113\n84173 100000\n36087 54025\n50128 75104\n48247 72255\n43192 64673\n81122 100000\n30152 45177\n30265 45351\n49417 74049\n32187 48211\n59723 89545\n20168 30297\n72359 100000\n81478 100000\n47839 71630\n90745 100000\n25446 38174\n41161 61636\n46337 69374\n90278 100000\n43109 64550\n57189 85697\n82241 100000\n47704 71422\n76506 100000\n48815 73131\n55381 82963\n34829 52157\n20649 31024\n98898 100000\n15925 23922\n28871 43279\n32038 47992\n44925 67267\n97739 100000\n57540 86239\n94311 100000\n29055 43553\n20154 30276\n81810 100000\n62736 94096\n52130 78076\n40172 60147\n75044 100000\n74182 100000\n4394 6631\n73651 100000\n31619 47368\n94460 100000\n15255 22939\n4891 7388\n59808 89670\n59080 88547\n69668 100000\n49013 73423\n75218 100000\n30364 45496\n89072 100000\n56607 84829\n87826 100000\n70685 100000\n68136 100000\n41750 62522\n87953 100000\n61386 92032\n61433 92107\n56997 85419\n76421 100000\n20627 30989\n85594 100000\n38289 57318\n90280 100000\n13501 20313\n47584 71246\n32486 48650\n91440 100000\n32707 48994\n94796 100000\n62355 93508\n95835 100000\n10990 16546\n75235 100000\n96016 100000\n8560 12877\n58177 87199\n57334 85922\n21769 32691\n93680 100000\n9704 14591\n69608 100000\n75339 100000\n81696 100000\n12469 18769\n1040 1562\n50009 74930\n61731 92559\n14422 21700\n45598 68266\n92254 100000\n91282 100000\n82496 100000\n79154 100000\n18556 27857\n69594 100000\n96624 100000\n3745 5641\n76839 100000\n54691 81933\n69244 100000\n22288 33485\n90197 100000\n40938 61303\n81480 100000\n13459 20256\n55754 83531\n13538 20371\n59192 88719\n57441 86081\n5927 8954\n98251 100000\n23355 35059\n36361 54447\n77039 100000\n25787 38691\n67386 100000\n42494 63642\n96078 100000\n50803 76117\n50186 75188\n36715 54981\n9145 13751\n60367 90505\n50603 75814\n35026 52443\n92308 100000\n97050 100000\n67734 100000\n22414 33668\n55432 83045\n30569 45811\n70109 100000\n91112 100000\n71943 100000\n17557 26359\n42957 64325\n64955 97437\n23227 34872\n80596 100000\n72752 100000\n67446 100000\n20719 31130\n4857 7335\n56572 84771\n5174 7814\n39815 59599\n51243 76778\n61987 92960\n15800 23740\n54396 81485\n56131 84104\n18585 27896\n8336 12547\n42212 63218\n55705 83455\n8037 12104\n93773 100000\n16472 24735\n72993 100000\n71429 100000\n43487 65109\n53985 80872\n75647 100000\n77334 100000\n23272 34937\n12782 19242\n23938 35922\n83588 100000\n66088 99130\n68941 100000\n16607 24929\n3895 5864\n92062 100000\n15820 23772\n58683 87950\n58561 87765\n52349 78412\n67085 100000\n28813 43187\n65505 98259\n70390 100000\n76643 100000\n17891 26860\n24890 37341\n58142 87149\n28220 42316\n83541 100000\n56105 84066\n80084 100000\n85113 100000\n31260 46837\n21109 31709\n75151 100000\n84322 100000\n86915 100000\n82839 100000\n8388 12622\n95530 100000\n92213 100000\n82797 100000\n94553 100000\n98311 100000\n51983 77860\n36076 54009\n76522 100000\n28533 42779\n54292 81335\n99051 100000\n42979 64360\n51030 76455\n31996 47936\n85142 100000\n86145 100000\n76103 100000\n45624 68304\n63746 95608\n75810 100000\n76053 100000\n15676 23557\n84281 100000\n2875 4350\n41462 62090\n67511 100000\n87740 100000\n2056 3104\n50514 75678\n59958 89898\n98921 100000\n80401 100000\n83419 100000\n67620 100000\n51000 76410\n74324 100000\n60064 90054\n83540 100000\n45720 68444\n26030 39050\n84962 100000\n46175 69124\n17963 26968\n44085 65981\n42224 63235\n51199 76713\n45428 68010\n59030 88473\n25275 37915\n70605 100000\n88331 100000\n94683 100000\n17808 26734\n44535 66666\n13721 20647\n94171 100000\n56016 83928\n60860 91238\n69808 100000\n15386 23137\n70728 100000\n34489 51664\n51488 77145\n7213 10875\n90545 100000\n69924 100000\n6458 9744\n8773 13198\n65212 97833\n71749 100000\n45827 68605\n74342 100000\n87709 100000\n37830 56628\n18782 28195\n2813 4250\n57687 86464\n84253 100000\n80473 100000\n76223 100000\n19331 29048\n60131 90147\n20121 30228\n19460 29242\n89713 100000\n99971 100000\n14193 21366\n36586 54788\n74397 100000\n67605 100000\n899 1335\n21073 31652\n39898 59728\n39758 59502\n14142 21288\n86373 100000\n66831 100000\n67901 100000\n63815 95720\n96300 100000\n71888 100000\n28694 43017\n59130 88626\n78445 100000\n10741 16170\n3582 5401\n33382 50011\n78437 100000\n47533 71171\n34220 51274\n15090 22698\n82151 100000\n43573 65231\n37752 56513\n98974 100000\n95849 100000\n31117 46613\n78480 100000\n12997 19564\n37890 56717\n50279 75328\n15072 22671\n74593 100000\n18080 27147\n94202 100000\n23475 35239\n32392 48511\n71864 100000\n83132 100000\n54724 81979\n3304 4996\n36215 54222\n35858 53678\n67419 100000\n94101 100000\n36072 54003\n39564 59210\n29100 43619\n70367 100000\n68819 100000\n30035 45001\n80099 100000\n42270 63305\n99501 100000\n13925 20948\n7540 11366\n74825 100000\n56010 83921\n91989 100000\n78715 100000\n29044 43536\n80019 100000\n11993 18046\n2516 3812\n8791 13224\n19624 29486\n50785 76090\n73905 100000\n45809 68581\n76292 100000\n14636 22015\n21346 32054\n99351 100000\n20384 30628\n25192 37791\n59443 89117\n14127 21267\n53701 80436\n58274 87342\n49739 74525\n19688 29575\n44414 66485\n92755 100000\n62378 93543\n30532 45753\n16108 24188\n15089 22697\n82325 100000\n46478 69587\n41210 61712\n94928 100000\n31410 47057\n94341 100000\n21965 32990\n35532 53196\n29052 43549\n83041 100000\n59406 89060\n47 66\n36371 54463\n13990 21050\n79508 100000\n71817 100000\n32224 48266\n20111 30213\n7593 11439\n53405 79996\n50931 76307\n89199 100000\n45509 68132\n15402 23161\n27851 41753\n22416 33671\n27951 41900\n16663 25007\n29031 43515\n73728 100000\n96056 100000\n70629 100000\n80814 100000\n27203 40781\n96595 100000\n47629 71313\n95718 100000\n23251 34908\n2792 4220\n15909 23900\n68294 100000\n51195 76708\n85605 100000\n83883 100000\n80391 100000\n89431 100000\n71940 100000\n2927 4430\n65832 98745\n11720 17648\n49728 74510\n68799 100000\n79609 100000\n30656 45947\n25136 37707\n93246 100000\n69281 100000\n60775 91123\n23841 35777\n74140 100000\n9236 13894\n48824 73144\n27762 41619\n66678 100000\n40436 60541\n55606 83303\n30522 45737\n10719 16135\n83363 100000\n93259 100000\n51377 76980\n18100 27178\n49911 74786\n84658 100000\n82769 100000\n14911 22432\n51870 77697\n571 856\n1997 3014\n27469 41188\n49377 73981\n32050 48008\n83251 100000\n67948 100000\n48927 73295\n87562 100000\n52449 78563\n13847 20829\n52179 78148\n84262 100000\n13564 20413\n66408 99600\n68006 100000\n13112 19732\n81185 100000\n96306 100000\n50120 75093\n33207 49747\n39620 59292\n39284 58800\n76021 100000\n10590 15936\n16740 25121\n16391 24613\n14257 21457\n29726 44539\n93972 100000\n54135 81098\n70224 100000\n54016 80918\n29041 43532\n71574 100000\n80204 100000\n37228 55738\n63628 95425\n71572 100000\n18959 28475\n19697 29587\n72971 100000\n56244 84274\n58247 87299\n37325 55882\n74258 100000\n31663 47434\n78131 100000\n85319 100000\n60001 89958\n8500 12787\n65959 98938\n90320 100000\n1890 2854\n94199 100000\n51560 77252\n77198 100000\n17237 25873\n81746 100000\n15361 23100\n94257 100000\n73901 100000\n1262 1888\n69712 100000\n51623 77340\n93409 100000\n9698 14582\n62859 94280\n29798 44647\n102 150\n79259 100000\n49360 73953\n88607 100000\n21087 31674\n69874 100000\n7923 11932\n14396 21661\n29662 44443\n7500 11301\n70551 100000\n39119 58561\n28087 42116\n80015 100000\n38366 57440\n41189 61680\n45126 67558\n16478 24745\n85843 100000\n73790 100000\n49832 74667\n43672 65376\n98201 100000\n61477 92178\n30310 45420\n33237 49793\n48319 72365\n17217 25841\n88242 100000\n8270 12447\n455 680\n31707 47505\n61265 91855\n19693 29581\n89299 100000\n85499 100000\n39382 58948\n8245 12410\n69641 100000\n68237 100000\n78284 100000\n60957 91381\n79845 100000\n66658 99987\n94769 100000\n25970 38961\n65020 97534\n2599 3939\n51413 77034\n47452 71051\n4782 7221\n51155 76644\n61991 92965\n99793 100000\n12077 18173\n35575 53267\n1710 2567\n89689 100000\n17043 25582\n49243 73772\n28191 42275\n34665 51913\n86257 100000\n66153 99225\n69201 100000\n58181 87203\n64093 96132\n2410 3655\n95322 100000\n86764 100000\n56992 85410\n40571 60745\n73345 100000\n25065 37605\n11680 17594\n37496 56132\n34131 51138\n91804 100000\n73531 100000\n78420 100000\n97728 100000\n93562 100000\n24454 36704\n41914 62773\n37543 56199\n42636 63843\n65295 97954\n94378 100000\n51034 76461\n47784 71543\n17581 26397\n24224 36349\n38700 57920\n12684 19095\n80700 100000\n52617 78816\n89690 100000\n62540 93796\n79772 100000\n43735 65476\n66647 99969\n22052 33120\n94552 100000\n18341 27534\n96135 100000\n52730 78980\n18353 27555\n80225 100000\n16799 25221\n61271 91863\n49265 73803\n22715 34112\n50858 76197\n75082 100000\n50516 75681\n43673 65378\n22665 34035\n64880 97322\n76764 100000\n354 533\n4700 7097\n3030 4593\n44457 66550\n46887 70191\n20754 31185\n26630 39931\n13192 19856\n82255 100000\n84717 100000\n40138 60094\n78961 100000\n76435 100000\n65011 97520\n55217 82712\n68241 100000\n29339 43966\n78407 100000\n93038 100000\n39971 59838\n18309 27489\n22759 34179\n66128 99190\n89619 100000\n35155 52630\n57626 86369\n14429 21708\n21558 32377\n92147 100000\n30419 45588\n3729 5615\n15051 22640\n70713 100000\n98629 100000\n78726 100000\n40576 60752\n65512 98270\n17500 26275\n41099 61540\n32805 49145\n98182 100000\n34623 51852\n43126 64574\n41800 62605\n48891 73242\n85337 100000\n92230 100000\n98209 100000\n68384 100000\n58796 88125\n92671 100000\n51921 77771\n19410 29170\n52403 78488\n10927 16457\n22548 33868\n1726 2593\n92137 100000\n44668 66879\n93632 100000\n18848 28301\n31821 47673\n71406 100000\n9906 14903\n11572 17428\n27410 41097\n9304 13993\n78739 100000\n46719 69952\n41715 62473\n57653 86409\n71333 100000\n62671 93991\n55204 82695\n65559 98338\n92942 100000\n34953 52337\n34142 51155\n65406 98115\n1857 2802\n64163 96237\n75180 100000\n47639 71327\n69673 100000\n49616 74340\n15749 23668\n39316 58847\n44472 66575\n86541 100000\n54440 81553\n48861 73200\n99739 100000\n99456 100000\n5693 8584\n87026 100000\n27892 41812\n97049 100000\n83893 100000\n9082 13644\n88518 100000\n56536 84716\n61536 92268\n27189 40758\n51620 77336\n15326 23045\n48722 72985\n47024 70400\n68738 100000\n69462 100000\n6450 9730\n64520 96773\n70327 100000\n11917 17934\n12432 18714\n55874 83712\n46328 69362\n23179 34802\n91157 100000\n93002 100000\n60993 91436\n40437 60543\n33582 50309\n59041 88488\n93360 100000\n5547 8369\n69149 100000\n66841 100000\n36272 54309\n31394 47033\n99823 100000\n69584 100000\n95307 100000\n51613 77326\n61236 91810\n57141 85625\n23357 35063\n99998 100000\n55832 83647\n92867 100000\n30682 45986\n42496 63644\n50563 75758\n52294 78324\n8607 12953\n64869 97305\n69657 100000\n62755 94124\n8125 12228\n5924 8950\n3740 5633\n86416 100000\n15007 22579\n89423 100000\n31263 46842\n12017 18082\n62921 94368\n29386 44033\n82872 100000\n97184 100000\n69984 100000\n94461 100000\n4517 6814\n94681 100000\n14703 22119\n75740 100000\n95081 100000\n66327 99489\n53590 80269\n56687 84951\n2323 3515\n10722 16139\n11066 16669\n45077 67487\n20363 30593\n18112 27198\n75828 100000\n7428 11191\n82559 100000\n64092 96131\n39451 59047\n98344 100000\n47407 70984\n41970 62852\n82503 100000\n56122 84091\n3073 4654\n58648 87894\n84771 100000\n69920 100000\n16803 25226\n78681 100000\n54106 81061\n57814 86649\n27083 40602\n8755 13172\n38609 57792\n24157 36252\n40324 60367\n68793 100000\n23045 34605\n29068 43572\n45797 68562\n96641 100000\n8795 13230\n92871 100000\n71139 100000\n85550 100000\n51294 76855\n28535 42782\n26825 40215\n7765 11693\n68706 100000\n58273 87341\n83058 100000\n35503 53148\n41284 61824\n76512 100000\n15274 22968\n77453 100000\n4909 7416\n45191 67657\n7774 11708\n65307 97973\n33684 50468\n89695 100000\n60655 90944\n62454 93671\n54094 81044\n24250 36387\n17995 27015\n73272 100000\n35655 53382\n55994 83895\n71487 100000\n90562 100000\n18038 27080\n32677 48944\n60686 90989\n11632 17516\n52229 78227\n26814 40200\n7745 11667\n85876 100000\n19416 29179\n8081 12169\n58227 87269\n94917 100000\n42130 63091\n69457 100000\n88643 100000\n36286 54332\n77698 100000\n7687 11578\n86025 100000\n79797 100000\n98261 100000\n20497 30798\n77510 100000\n46048 68934\n80564 100000\n80533 100000\n81805 100000\n26367 39554\n82675 100000\n65708 98556\n46689 69907\n86297 100000\n72506 100000\n42632 63838\n6772 10229\n65630 98443\n77751 100000\n37904 56741\n48591 72781\n69213 100000\n49819 74646\n30491 45692\n32104 48088\n25812 38729\n60364 90500\n64064 96087\n16887 25351\n52343 78403\n33423 50075\n57252 85792\n61296 91900\n57655 86412\n55060 82473\n3846 5796\n14226 21412\n39802 59575\n73035 100000\n17455 26207\n77625 100000\n91779 100000\n57279 85836\n64327 96488\n86979 100000\n11043 16634\n6446 9725\n10145 15264\n74798 100000\n52206 78193\n87550 100000\n61490 92196\n89624 100000\n4337 6546\n95688 100000\n72259 100000\n77584 100000\n19886 29876\n2659 4026\n95848 100000\n87448 100000\n28433 42629\n17993 27011\n62070 93079\n6950 10497\n77781 100000\n84827 100000\n83921 100000\n35547 53222\n38119 57064\n52525 78684\n25950 38933\n91260 100000\n51121 76591\n49192 73697\n24858 37292\n27108 40637\n27828 41722\n68822 100000\n70157 100000\n2296 3471\n86038 100000\n60162 90195\n68777 100000\n79212 100000\n22100 33195\n42238 63256\n24545 36832\n99637 100000\n85927 100000\n91746 100000\n40347 60403\n47860 71662\n35152 52624\n46823 70100\n36168 54149\n63619 95412\n74346 100000\n57286 85846\n17324 26005\n15417 23181\n35465 53091\n33603 50345\n93250 100000\n48057 71966\n39580 59231\n67083 100000\n6685 10091\n79409 100000\n35196 52687\n82653 100000\n60269 90355\n85552 100000\n21674 32553\n96620 100000\n37760 56525\n8295 12488\n96173 100000\n25766 38659\n97593 100000\n51688 77432\n32672 48937\n36806 55112\n9710 14601\n99892 100000\n26609 39900\n96455 100000\n97520 100000\n89650 100000\n60145 90166\n20025 30085\n70865 100000\n13234 19920\n34429 51580\n20623 30983\n4070 6141\n75695 100000\n77108 100000\n85974 100000\n29886 44778\n24564 36860\n63581 95353\n23530 35325\n30315 45428\n42047 62967\n94249 100000\n47140 70574\n31219 46777\n60777 91125\n28214 42308\n26785 40158\n98025 100000\n55698 83444\n64385 96573\n66331 99495\n444 664\n85143 100000\n18744 28135\n29494 44195\n24070 36117\n85021 100000\n30726 46049\n61763 92611\n81982 100000\n18099 27176\n21650 32518\n47003 70368\n13207 19878\n6251 9428\n74873 100000\n86108 100000\n62789 94171\n34348 51459\n18995 28528\n94894 100000\n7452 11229\n42489 63634\n53693 80424\n73704 100000\n68127 100000\n9492 14274\n98758 100000\n86219 100000\n96486 100000\n12690 19103\n38428 57532\n62782 94162\n58085 87062\n43836 65620\n15907 23898\n27936 41880\n368 556\n59144 88646\n28238 42343\n39046 58452\n38542 57697\n34247 51311\n76665 100000\n53612 80303\n34720 51995\n52092 78022\n22959 34472\n82776 100000\n4540 6851\n30477 45671\n27737 41579\n80946 100000\n17513 26295\n81603 100000\n35470 53099\n36708 54970\n22498 33795\n73436 100000\n8251 12418\n9465 14233\n77603 100000\n46112 69031\n15808 23752\n26063 39098\n24523 36801\n41311 61866\n43967 65808\n55581 83271\n78770 100000\n7957 11985\n56650 84896\n30175 45209\n54357 81432\n54286 81326\n12573 18930\n15447 23222\n1034 1553\n54543 81711\n21772 32696\n50251 75286\n8009 12063\n81316 100000\n61345 91971\n89348 100000\n95325 100000\n87866 100000\n10307 15507\n71014 100000\n59136 88635\n66439 99646\n68075 100000\n62771 94146\n40157 60122\n83880 100000\n44417 66490\n12141 18268\n62269 93385\n98817 100000\n52680 78905\n16661 25004\n46529 69669\n76396 100000\n97529 100000\n8115 12215\n40671 60896\n51614 77327\n85251 100000\n92000 100000\n93637 100000\n17689 26567\n94377 100000\n64076 96107\n64164 96238\n87249 100000\n169 247\n85379 100000\n34245 51309\n33414 50063\n11306 17039\n27464 41182\n66229 99340\n19280 28970\n9610 14446\n51941 77797\n69225 100000\n24362 36562\n37716 56456\n98646 100000\n72485 100000\n24806 37211\n96233 100000\n99477 100000\n55842 83661\n76457 100000\n2704 4096\n16725 25099\n50140 75122\n82532 100000\n21483 32265\n37973 56844\n74895 100000\n68424 100000\n7170 10808\n363 547\n58946 88345\n14510 21826\n21130 31739\n17058 25603\n42144 63113\n788 1181\n24358 36557\n20814 31273\n46874 70167\n79070 100000\n50807 76122\n6648 10032\n65746 98617\n84250 100000\n93092 100000\n46987 70340\n11562 17414\n14622 21992\n38813 58094\n43834 65616\n96706 100000\n31120 46618\n17521 26307\n56554 84743\n44740 66991\n63211 94795\n71028 100000\n97823 100000\n33107 49596\n92432 100000\n60868 91249\n52712 78952\n28023 42014\n53786 80574\n34183 51218\n53725 80474\n97097 100000\n83310 100000\n3441 5196\n12876 19383\n89218 100000\n37812 56607\n45185 67648\n59330 88937\n26595 39883\n88296 100000\n66729 100000\n6575 9923\n47571 71227\n6762 10216\n99813 100000\n87750 100000\n87533 100000\n15682 23567\n87036 100000\n37886 56709\n47303 70828\n75607 100000\n14094 21220\n35309 52858\n31913 47812\n79444 100000\n50801 76114\n209 311\n44920 67260\n51429 77055\n92979 100000\n96414 100000\n39073 58491\n24819 37228\n83428 100000\n14465 21757\n88957 100000\n34141 51154\n48186 72158\n5656 8528\n67434 100000\n13970 21019\n60379 90525\n66547 99820\n19895 29890\n49444 74089\n52690 78919\n46923 70242\n82163 100000\n36995 55385\n49657 74400\n90452 100000\n32864 49234\n37313 55863\n58924 88315\n83806 100000\n94108 100000\n73875 100000\n12344 18579\n85718 100000\n22755 34172\n25175 37763\n52661 78878\n81646 100000\n99682 100000\n87020 100000\n83454 100000\n7966 12001\n59023 88462\n45344 67880\n8457 12721\n79735 100000\n48794 73100\n84126 100000\n75655 100000\n14079 21195\n8034 12100\n65961 98941\n41933 62799\n75498 100000\n18640 27980\n42254 63280\n33472 50147\n50413 75524\n73993 100000\n19995 30042\n45980 68837\n95241 100000\n4187 6324\n64765 97141\n4550 6866\n92389 100000\n54573 81756\n44758 67015\n85339 100000\n12761 19208\n33067 49539\n90734 100000\n89252 100000\n30859 46240\n83949 100000\n97358 100000\n97085 100000\n5359 8089\n8210 12356\n30041 45010\n60883 91270\n66725 100000\n32936 49345\n30282 45377\n12665 19065\n59880 89779\n11748 17695\n16895 25363\n67144 100000\n96406 100000\n95065 100000\n71601 100000\n54372 81451\n79804 100000\n74597 100000\n43152 64613\n59920 89839\n40845 61155\n70303 100000\n19224 28887\n33032 49485\n8528 12830\n47935 71775\n80750 100000\n47062 70460\n6534 9864\n45181 67643\n22423 33681\n96718 100000\n94407 100000\n45705 68422\n10616 15976\n38852 58156\n7315 11021\n82430 100000\n1865 2814\n58606 87831\n67129 100000\n83630 100000\n83102 100000\n60032 90008\n53285 79813\n93690 100000\n9672 14545\n96354 100000\n31856 47724\n98794 100000\n45262 67759\n43277 64802\n85510 100000\n36096 54037\n46459 69556\n41356 61927\n24235 36364\n80664 100000\n40964 61340\n9812 14759\n9066 13622\n75682 100000\n70337 100000\n11204 16883\n47352 70904\n32316 48402\n48849 73180\n29312 43927\n48033 71927\n93828 100000\n77937 100000\n44553 66693\n85990 100000\n95643 100000\n93313 100000\n58192 87218\n45796 68561\n99988 100000\n67955 100000\n70172 100000\n43140 64594\n31754 47572\n95269 100000\n22313 33516\n8860 13329\n22892 34375\n29627 44399\n37020 55422\n36543 54724\n99075 100000\n31584 47311\n82952 100000\n61080 91573\n1444 2158\n29213 43773\n50105 75072\n50034 74971\n48688 72932\n32619 48859\n49129 73604\n56373 84466\n4347 6561\n37979 56851\n500 744\n75615 100000\n22784 34214\n96302 100000\n90374 100000\n46199 69160\n43994 65846\n79587 100000\n34927 52298\n97654 100000\n25599 38405\n95013 100000\n91696 100000\n2001 3021\n38482 57612\n18133 27227\n51680 77423\n52424 78524\n29950 44869\n40301 60332\n25936 38913\n2961 4486\n39730 59458\n15426 23193\n54580 81763\n91352 100000\n71925 100000\n27690 41513\n93841 100000\n76649 100000\n79354 100000\n19752 29668\n57201 85715\n92749 100000\n81060 100000\n16724 25098\n60592 90842\n55801 83598\n79350 100000\n24767 37158\n37165 55642\n36339 54413\n83343 100000\n37149 55619\n5546 8368\n20041 30107\n97769 100000\n18067 27125\n6332 9553\n71444 100000\n17636 26483\n88221 100000\n86090 100000\n40730 60979\n24245 36378\n17126 25703\n71603 100000\n54583 81768\n9794 14731\n21748 32659\n55271 82794\n51299 76863\n33293 49880\n59987 89939\n75087 100000\n96141 100000\n94443 100000\n84725 100000\n87673 100000\n52540 78708\n21003 31545\n54344 81412\n78953 100000\n2159 3266\n21646 32512\n47992 71867\n40346 60401\n11573 17429\n84921 100000\n22581 33913\n4812 7269\n262 392\n39440 59033\n70655 100000\n69062 100000\n11139 16780\n45003 67378\n4351 6567\n67209 100000\n39038 58440\n37310 55859\n77181 100000\n44557 66699\n3980 5999\n65486 98229\n48830 73153\n34594 51810\n64307 96459\n75407 100000\n95666 100000\n4304 6498\n71737 100000\n57494 86161\n45878 68688\n90655 100000\n34135 51144\n25603 38412\n38637 57828\n9412 14152\n67353 100000\n41379 61963\n97898 100000\n41616 62320\n87281 100000\n74743 100000\n67158 100000\n74547 100000\n72637 100000\n37850 56658\n9043 13591\n50666 75912\n21581 32411\n64052 96069\n68020 100000\n9301 13989\n58097 87080\n55455 83079\n76972 100000\n1264 1891\n39098 58528\n54194 81187\n48469 72597\n25243 37866\n14354 21601\n35521 53178\n28086 42114\n81471 100000\n76709 100000\n10633 16003\n20354 30581\n92864 100000\n42608 63804\n73034 100000\n27087 40608\n52613 78810\n57364 85964\n53016 79407\n11446 17241\n39462 59062\n47897 71723\n11028 16611\n892 1325\n27147 40696\n80451 100000\n66272 99402\n14894 22409\n33521 50220\n63135 94687\n47437 71029\n78135 100000\n5090 7690\n25226 37843\n40072 59995\n45652 68346\n25196 37797\n26456 39684\n88383 100000\n86655 100000\n73655 100000\n25139 37712\n9553 14365\n7399 11144\n79099 100000\n42476 63614\n67990 100000\n31336 46949\n41345 61912\n85858 100000\n49222 73741\n73837 100000\n62154 93212\n62801 94189\n86786 100000\n32292 48367\n87272 100000\n71866 100000\n69989 100000\n58238 87285\n85326 100000\n82334 100000\n5012 7564\n2712 4107\n92287 100000\n18503 27776\n64519 96771\n30125 45135\n56176 84173\n82057 100000\n21078 31661\n34397 51532\n81908 100000\n71895 100000\n93808 100000\n83277 100000\n5421 8181\n73716 100000\n62260 93371\n59212 88752\n46157 69099\n93733 100000\n2443 3708\n85292 100000\n55160 82627\n12742 19179\n45757 68502\n98728 100000\n10901 16417\n98958 100000\n51764 77546\n33763 50580\n81781 100000\n32669 48932\n38092 57025\n26856 40263\n46356 69401\n23993 36006\n27448 41155\n17896 26867\n30854 46232\n25878 38830\n6392 9642\n72839 100000\n64149 96215\n31797 47637\n68712 100000\n87064 100000\n63772 95650\n31592 47325\n65737 98603\n78880 100000\n29048 43543\n86534 100000\n78682 100000\n32118 48108\n30935 46351\n53544 80199\n67768 100000\n4380 6609\n45367 67916\n36130 54092\n22955 34468\n256 383\n39654 59344\n18496 27767\n70064 100000\n27245 40845\n57896 86774\n19068 28638\n41611 62314\n11182 16850\n61868 92768\n83188 100000\n26501 39750\n19924 29938\n82122 100000\n56823 85156\n46663 69867\n15980 24000\n7270 10956\n46293 69312\n42891 64223\n46029 68906\n82804 100000\n97919 100000\n34932 52308\n34979 52376\n4397 6636\n73418 100000\n8188 12324\n73712 100000\n84404 100000\n85886 100000\n11828 17813\n54109 81066\n40559 60729\n36417 54535\n98870 100000\n77572 100000\n48270 72290\n52000 77884\n27402 41085\n50129 75105\n14212 21393\n75829 100000\n48080 72004\n90381 100000\n25346 38023\n9583 14410\n2455 3724\n41492 62135\n63507 95237\n80763 100000\n81278 100000\n64291 96433\n78552 100000\n56508 84671\n82912 100000\n6579 9929\n39624 59298\n55902 83753\n32097 48080\n76386 100000\n79505 100000\n11177 16842\n53254 79761\n3318 5017\n78114 100000\n64388 96577\n90738 100000\n1323 1977\n13827 20795\n14838 22322\n20325 30535\n73491 100000\n10096 15191\n59494 89195\n33096 49578\n10474 15760\n692 1035\n79570 100000\n13407 20184\n36373 54467\n5458 8237\n2211 3344\n59575 89319\n29284 43883\n63760 95631\n248 373\n35756 53524\n36649 54884\n37270 55801\n68455 100000\n30975 46410\n1126 1689\n34405 51544\n10904 16423\n30216 45272\n39795 59563\n89533 100000\n38225 57222\n7133 10753\n24335 36522\n50788 76095\n40014 59904\n25304 37954\n63096 94622\n63810 95712\n94477 100000\n6758 10209\n17008 25532\n10648 16024\n61253 91838\n95837 100000\n3540 5341\n55283 82814\n71268 100000\n14621 21990\n57170 85672\n13591 20454\n98386 100000\n19653 29528\n16922 25405\n87153 100000\n83863 100000\n91369 100000\n98990 100000\n25014 37528\n80871 100000\n60011 89973\n71404 100000\n14548 21883\n1142 1713\n14084 21203\n88953 100000\n8691 13075\n48559 72733\n41444 62063\n60471 90665\n25450 38181\n72125 100000\n91637 100000\n957 1435\n9112 13695\n41975 62859\n62356 93509\n24377 36587\n41155 61627\n61161 91697\n9163 13780\n14102 21233\n85791 100000\n38807 58083\n80135 100000\n28853 43251\n64072 96100\n52628 78831\n53909 80753\n23927 35905\n22335 33545\n80639 100000\n79055 100000\n28174 42252\n84203 100000\n50738 76019\n80156 100000\n25285 37929\n13677 20583\n79164 100000\n80807 100000\n65557 98335\n23337 35032\n81450 100000\n57016 85447\n84355 100000\n94132 100000\n89837 100000\n24080 36132\n65108 97668\n98172 100000\n72662 100000\n7580 11422\n79870 100000\n75895 100000\n15049 22637\n31144 46656\n28586 42861\n11070 16674\n52734 78987\n54265 81293\n64335 96502\n48150 72103\n39077 58496\n32281 48352\n33682 50466\n30222 45283\n24349 36543\n84134 100000\n58356 87463\n53789 80578\n93830 100000\n28040 42042\n38168 57136\n30823 46187\n4459 6728\n67306 100000\n5972 9027\n56802 85124\n4792 7236\n41853 62692\n25121 37688\n44002 65857\n67176 100000\n82883 100000\n18568 27874\n19801 29742\n19390 29144\n46472 69577\n70651 100000\n22680 34059\n72340 100000\n25543 38315\n21939 32950\n41073 61500\n20357 30585\n25772 38669\n55556 83232\n77277 100000\n9374 14100\n11188 16858\n11915 17931\n79291 100000\n872 1296\n93652 100000\n19386 29137\n35171 52651\n3245 4907\n58345 87449\n16525 24817\n60529 90752\n34585 51797\n17355 26054\n9692 14574\n96277 100000\n1410 2107\n15425 23192\n12239 18421\n2558 3878\n19417 29180\n34639 51876\n87377 100000\n50366 75461\n286 426\n46272 69281\n74852 100000\n8288 12476\n40652 60867\n51145 76628\n27358 41021\n33491 50177\n36949 55315\n7333 11047\n87387 100000\n53917 80767\n86536 100000\n4053 6116\n55664 83395\n50592 75799\n39233 58725\n32480 48643\n92299 100000\n25731 38605\n34814 52136\n77766 100000\n45278 67787\n77225 100000\n78839 100000\n52171 78136\n25391 38086\n16875 25333\n49574 74274\n58939 88336\n31028 46485\n60715 91033\n65395 98098\n75370 100000\n47192 70657\n65271 97921\n7754 11679\n72107 100000\n10090 15182\n51875 77703\n28925 43358\n18372 27582\n48163 72123\n6817 10298\n41827 62650\n81196 100000\n69557 100000\n76707 100000\n2560 3880\n33900 50784\n1045 1569\n27523 41266\n40918 61274\n52808 79101\n32102 48086\n94254 100000\n93997 100000\n25957 38944\n1965 2968\n51313 76880\n65030 97550\n38447 57560\n11666 17570\n36465 54608\n7965 11999\n96075 100000\n24064 36108\n8762 13181\n37535 56188\n4563 6886\n64354 96531\n83604 100000\n94180 100000\n34994 52396\n23605 35436\n83012 100000\n97907 100000\n31154 46672\n26276 39422\n17404 26130\n81531 100000\n1820 2745\n93343 100000\n68146 100000\n89333 100000\n66815 100000\n84284 100000\n22693 34076\n20432 30704\n43961 65799\n31420 47069\n31876 47755\n97850 100000\n29178 43727\n16287 24463\n25170 37755\n45519 68149\n86469 100000\n77286 100000\n13106 19723\n64378 96562\n81690 100000\n52042 77946\n31648 47410\n96548 100000\n87289 100000\n39241 58739\n98923 100000\n74201 100000\n95850 100000\n65858 98785\n91770 100000\n76695 100000\n4396 6634\n36930 55292\n31112 46605\n77487 100000\n18092 27164\n14724 22149\n94162 100000\n14107 21239\n71055 100000\n11225 16917\n51201 76716\n47666 71367\n46006 68874\n66682 100000\n97440 100000\n49236 73763\n70091 100000\n96049 100000\n84767 100000\n25172 37758\n58804 88136\n96156 100000\n4616 6973\n62026 93019\n96169 100000\n67026 100000\n68325 100000\n19825 29780\n99151 100000\n11333 17081\n61007 91459\n46346 69385\n96209 100000\n30974 46409\n80710 100000\n25789 38695\n20708 31112\n94852 100000\n65800 98698\n61789 92652\n58137 87140\n33179 49701\n58483 87654\n11466 17270\n83745 100000\n58676 87937\n45382 67937\n24282 36439\n80632 100000\n65818 98722\n42986 64369\n24035 36067\n54589 81775\n92012 100000\n13051 19645\n44253 66245\n51208 76726\n80917 100000\n73666 100000\n7096 10698\n90444 100000\n97130 100000\n28517 42753\n38604 57785\n24125 36204\n88014 100000\n32207 48240\n1352 2022\n12580 18941\n56334 84408\n4620 6979\n85645 100000\n76592 100000\n75362 100000\n49145 73627\n32031 47983\n18561 27863\n97286 100000\n74754 100000\n71908 100000\n78137 100000\n74757 100000\n35684 53421\n35725 53479\n25037 37561\n75050 100000\n18774 28181\n41160 61634\n36277 54318\n36245 54269\n74536 100000\n70569 100000\n47513 71141\n98184 100000\n78986 100000\n71134 100000\n77578 100000\n19233 28901\n96088 100000\n1116 1673\n29883 44774\n86384 100000\n58688 87957\n35724 53478\n80520 100000\n74367 100000\n22318 33525\n36322 54387\n72547 100000\n23060 34626\n49219 73737\n89602 100000\n4436 6695\n88280 100000\n69480 100000\n32161 48172\n51568 77264\n69988 100000\n41092 61531\n90585 100000\n81564 100000\n92266 100000\n15291 22991\n26931 40373\n42622 63824\n8966 13486\n7856 11827\n59305 88900\n35571 53260\n79590 100000\n74496 100000\n18234 27377\n18938 28441\n41912 62770\n7318 11025\n9462 14229\n39737 59468\n90865 100000\n48087 72011\n83253 100000\n97078 100000\n34347 51457\n31776 47605\n66494 99740\n10916 16440\n64096 96136\n93961 100000\n46758 70007\n76614 100000\n26969 40428\n72012 100000\n93780 100000\n24094 36156\n91681 100000\n64239 96356\n7567 11404\n40411 60500\n9716 14609\n88103 100000\n80030 100000\n33330 49931\n28850 43247\n27867 41774\n585 876\n8409 12653\n56136 84111\n6748 10192\n72593 100000\n19501 29302\n66584 99877\n13569 20420\n94347 100000\n28057 42067\n62866 94289\n86708 100000\n89118 100000\n60432 90603\n59860 89748\n2197 3321\n25539 38310\n96786 100000\n73771 100000\n11149 16799\n92763 100000\n24934 37401\n2529 3833\n56495 84650\n7441 11209\n23653 35503\n89878 100000\n9548 14358\n13444 20237\n22620 33971\n15153 22790\n36525 54700\n60246 90321\n13421 20203\n76155 100000\n33681 50465\n48711 72967\n14975 22529\n94318 100000\n61852 92744\n53592 80272\n41192 61685\n79908 100000\n74647 100000\n19003 28540\n57410 86034\n87986 100000\n52602 78794\n64190 96282\n4595 6938\n62294 93426\n74972 100000\n1344 2008\n12389 18648\n804 1206\n13672 20575\n6318 9532\n16995 25513\n8951 13461\n57014 85445\n36346 54426\n95410 100000\n60914 91318\n53857 80677\n74474 100000\n76234 100000\n14334 21572\n74753 100000\n28164 42236\n57570 86288\n25478 38224\n13412 20191\n45597 68264\n87858 100000\n87937 100000\n95824 100000\n36874 55208\n60650 90937\n74322 100000\n45526 68159\n91496 100000\n76880 100000\n23705 35584\n52296 78328\n12919 19448\n87191 100000\n55245 82755\n11340 17090\n91995 100000\n7831 11792\n41252 61779\n812 1216\n53618 80310\n30972 46405\n39174 58643\n85239 100000\n44212 66181\n5066 7651\n95587 100000\n57608 86346\n44086 65982\n38138 57091\n8163 12282\n51550 77238\n94671 100000\n82246 100000\n95336 100000\n90755 100000\n76322 100000\n11321 17063\n97587 100000\n40549 60713\n97225 100000\n95148 100000\n41418 62023\n13600 20465\n75887 100000\n47081 70483\n58964 88372\n70316 100000\n41824 62645\n38353 57420\n85401 100000\n25589 38390\n27465 41183\n38010 56899\n35702 53448\n34190 51227\n64460 96680\n62120 93161\n12831 19313\n58947 88346\n95192 100000\n85851 100000\n15717 23620\n83172 100000\n33714 50510\n22969 34489\n62463 93685\n37666 56384\n22233 33402\n54025 80933\n60839 91211\n74572 100000\n46195 69155\n22195 33342\n35015 52428\n62400 93578\n96761 100000\n48404 72498\n11818 17801\n17497 26270\n86019 100000\n6862 10366\n16759 25154\n5932 8963\n53271 79790\n66585 99879\n91998 100000\n18454 27702\n20281 30470\n20051 30123\n58535 87728\n6353 9581\n81920 100000\n63611 95400\n9226 13880\n42523 63681\n38231 57231\n3577 5394\n87696 100000\n39519 59144\n63013 94500\n63364 95019\n96215 100000\n62351 93503\n32394 48513\n43044 64450\n88724 100000\n87090 100000\n72727 100000\n18439 27680\n28096 42132\n21713 32609\n70275 100000\n17629 26471\n7445 11216\n8678 13055\n4660 7040\n84210 100000\n93123 100000\n51073 76519\n81335 100000\n52465 78591\n6105 9212\n89161 100000\n31314 46914\n587 879\n7184 10830\n44033 65906\n65323 97997\n33509 50204\n56645 84888\n16363 24570\n31213 46766\n92858 100000\n56019 83932\n35307 52854\n11206 16887\n39240 58737\n61044 91516\n96948 100000\n93679 100000\n44846 67147\n31677 47458\n42635 63842\n16945 25437\n7504 11306\n85466 100000\n87901 100000\n49213 73727\n26487 39728\n66723 100000\n77628 100000\n20950 31474\n64493 96732\n88746 100000\n61307 91914\n51811 77615\n86133 100000\n55665 83396\n32463 48616\n21325 32019\n54304 81350\n63077 94595\n4171 6296\n54188 81176\n85789 100000\n47087 70493\n61202 91758\n4269 6446\n38551 57709\n44250 66241\n98202 100000\n15203 22864\n74964 100000\n15994 24022\n84304 100000\n99401 100000\n23041 34599\n76367 100000\n64455 96673\n50771 76068\n48405 72500\n54099 81051\n36754 55036\n26003 39005\n21701 32592\n51823 77633\n12588 18951\n61729 92557\n6747 10190\n59849 89731\n72143 100000\n50797 76107\n91903 100000\n97624 100000\n74325 100000\n70510 100000\n8164 12284\n40130 60082\n27395 41076\n68731 100000\n57340 85931\n61282 91880\n58095 87078\n76550 100000\n64094 96133\n29840 44712\n10611 15968\n44096 65998\n78573 100000\n22094 33186\n18208 27337\n70925 100000\n61331 91952\n44431 66512\n15459 23240\n32627 48870\n73869 100000\n21133 31744\n83855 100000\n9164 13781\n80515 100000\n82243 100000\n27474 41196\n22219 33379\n27978 41939\n81462 100000\n43465 65075\n178 262\n17398 26123\n18586 27897\n5649 8516\n69542 100000\n28827 43209\n40618 60818\n11194 16868\n88099 100000\n11662 17563\n50479 75622\n5440 8210\n48825 73146\n45207 67680\n19195 28840\n71892 100000\n27238 40836\n29487 44184\n80034 100000\n40856 61172\n20622 30981\n91611 100000\n19306 29010\n76020 100000\n81583 100000\n46596 69774\n21432 32187\n47311 70842\n4704 7102\n5616 8466\n90038 100000\n93237 100000\n22518 33821\n51240 76774\n84453 100000\n10268 15454\n46527 69666\n84177 100000\n67754 100000\n11310 17045\n36893 55237\n48755 73037\n51398 77011\n92405 100000\n59501 89206\n83408 100000\n58328 87425\n39972 59839\n1858 2804\n70060 100000\n83015 100000\n33288 49873\n93095 100000\n9840 14803\n39366 58920\n94088 100000\n73810 100000\n49990 74905\n97962 100000\n3214 4861\n983 1472\n19602 29454\n20613 30968\n66367 99546\n75720 100000\n48027 71918\n12022 18088\n83777 100000\n66551 99827\n97982 100000\n8995 13528\n62909 94349\n70819 100000\n26824 40214\n25514 38274\n49586 74292\n6357 9588\n18386 27602\n45311 67830\n54581 81765\n77149 100000\n49970 74876\n75072 100000\n70899 100000\n50830 76156\n10491 15782\n89180 100000\n24216 36338\n79079 100000\n48040 71938\n22226 33390\n73477 100000\n21081 31665\n61107 91614\n56626 84858\n9635 14487\n62726 94081\n70833 100000\n48689 72934\n70413 100000\n60151 90177\n30822 46186\n99384 100000\n51273 76823\n88656 100000\n80077 100000\n45864 68666\n48176 72142\n75747 100000\n49697 74457\n84418 100000\n34015 50960\n34970 52363\n94410 100000\n70587 100000\n3926 5915\n64825 97239\n40606 60798\n76676 100000\n3023 4582\n96498 100000\n72307 100000\n81831 100000\n77043 100000\n11082 16692\n4593 6936\n67961 100000\n52987 79365\n71095 100000\n40753 61011\n57583 86309\n88618 100000\n25541 38312\n92096 100000\n96098 100000\n84555 100000\n57354 85949\n88587 100000\n51541 77226\n61785 92645\n9403 14139\n5723 8628\n50189 75192\n98092 100000\n41563 62242\n41688 62433\n46648 69843\n88617 100000\n48533 72690\n56322 84388\n8143 12252\n37333 55893\n80467 100000\n25702 38559\n29004 43474\n65276 97928\n57305 85878\n67617 100000\n21050 31618\n46338 69375\n5483 8274\n92169 100000\n26870 40285\n75388 100000\n33084 49561\n68080 100000\n60121 90133\n48586 72772\n2135 3226\n451 673\n46799 70064\n40890 61229\n86755 100000\n59560 89294\n61485 92191\n86946 100000\n96896 100000\n67590 100000\n81065 100000\n93505 100000\n75079 100000\n35741 53501\n22650 34013\n61405 92064\n22894 34378\n72671 100000\n87552 100000\n2082 3148\n45947 68786\n68627 100000\n66923 100000\n23671 35533\n66728 100000\n97026 100000\n66453 99673\n12137 18262\n67459 100000\n17607 26435\n83633 100000\n21984 33013\n20092 30185\n30805 46162\n78323 100000\n57774 86591\n32105 48090\n56895 85261\n99973 100000\n65743 98612\n93464 100000\n88133 100000\n73574 100000\n24608 36929\n91340 100000\n64670 96999\n41422 62030\n61639 92421\n42568 63748\n1136 1704\n17452 26204\n86571 100000\n40997 61391\n19512 29320\n921 1374\n13151 19794\n37786 56569\n39912 59750\n70831 100000\n65187 97795\n63408 95084\n55550 83221\n7461 11241\n62256 93365\n65768 98651\n87332 100000\n23120 34714\n41329 61891\n39847 59650\n59421 89086\n37721 56464\n90554 100000\n39964 59827\n48198 72179\n25472 38215\n81720 100000\n77150 100000\n85908 100000\n90624 100000\n96638 100000\n60545 90776\n37569 56241\n22636 33993\n77787 100000\n57145 85631\n63770 95647\n2986 4523\n87909 100000\n62190 93262\n21242 31902\n5128 7745\n90700 100000\n19264 28947\n25156 37736\n8142 12250\n80398 100000\n25942 38921\n65091 97643\n28670 42983\n24200 36315\n11877 17879\n12458 18753\n75592 100000\n27739 41583\n42532 63695\n77319 100000\n88326 100000\n20671 31058\n55200 82690\n36638 54867\n10706 16116\n74270 100000\n46547 69697\n24475 36736\n96037 100000\n87659 100000\n53476 80099\n74372 100000\n88846 100000\n24158 36254\n3776 5690\n1570 2354\n42198 63197\n260 389\n13305 20031\n68796 100000\n44562 66706\n15630 23489\n64381 96567\n32522 48705\n15999 24029\n53598 80282\n28748 43095\n56173 84169\n17064 25612\n93233 100000\n30861 46244\n72187 100000\n63603 95389\n26409 39618\n91760 100000\n85539 100000\n55563 83242\n70696 100000\n19730 29637\n72800 100000\n30120 45125\n40468 60590\n34899 52259\n41768 62552\n93027 100000\n61859 92754\n58453 87609\n97157 100000\n91263 100000\n7173 10812\n63783 95666\n86855 100000\n69999 100000\n89216 100000\n80686 100000\n47230 70719\n4706 7105\n7836 11800\n5091 7692\n90276 100000\n36306 54362\n74145 100000\n27482 41208\n25459 38195\n74555 100000\n11703 17622\n22306 33509\n96201 100000\n36526 54702\n8130 12235\n72123 100000\n28037 42036\n586 878\n87789 100000\n69129 100000\n16977 25484\n57630 86374\n16381 24598\n41167 61645\n11308 17042\n71479 100000\n29633 44406\n3661 5514\n47223 70708\n44534 66664\n26462 39693\n36853 55176\n5651 8520\n67836 100000\n28244 42353\n12651 19046\n46281 69295\n61329 91949\n8366 12591\n70848 100000\n37799 56587\n96126 100000\n12788 19251\n62953 94418\n42709 63956\n90749 100000\n34194 51234\n44980 67343\n80094 100000\n40154 60118\n27020 40505\n9295 13980\n81045 100000\n9637 14489\n9769 14691\n74856 100000\n96448 100000\n37694 56425\n50435 75555\n23131 34731\n34702 51966\n30698 46009\n87939 100000\n24498 36765\n600 898\n21923 32923\n45808 68580\n72067 100000\n92193 100000\n22200 33350\n97191 100000\n68212 100000\n50028 74960\n14493 21801\n43433 65031\n67012 100000\n70635 100000\n55241 82749\n40864 61186\n91359 100000\n7779 11715\n4932 7449\n68210 100000\n43820 65593\n86231 100000\n5717 8621\n68164 100000\n22024 33073\n55092 82528\n13967 21014\n53364 79929\n69447 100000\n14810 22280\n2371 3592\n5682 8569\n14796 22259\n77138 100000\n80452 100000\n56405 84516\n44167 66112\n15194 22851\n91217 100000\n59875 89772\n50081 75038\n36962 55336\n70853 100000\n70659 100000\n75565 100000\n28236 42340\n97100 100000\n46266 69271\n45314 67835\n33657 50434\n78882 100000\n97261 100000\n35690 53429\n71734 100000\n70162 100000\n42740 64001\n25277 37918\n77570 100000\n10991 16548\n18856 28314\n61040 91510\n16087 24159\n69431 100000\n45272 67776\n4429 6683\n3332 5039\n92135 100000\n23259 34920\n39071 58487\n18319 27505\n69911 100000\n10362 15593\n9596 14425\n64767 97143\n27166 40724\n3592 5417\n41537 62202\n50419 75533\n44174 66122\n52112 78048\n82704 100000\n14274 21480\n11536 17377\n41023 61427\n95229 100000\n59190 88715\n56028 83946\n19922 29934\n46946 70276\n22421 33678\n99919 100000\n29138 43673\n9601 14432\n70143 100000\n6000 9066\n11009 16577\n8459 12724\n26677 39999\n69430 100000\n91721 100000\n4549 6865\n11185 16854\n22083 33168\n45919 68746\n66076 99111\n99650 100000\n88569 100000\n95708 100000\n24811 37217\n31227 46790\n94501 100000\n94020 100000\n46238 69227\n77656 100000\n19095 28686\n30212 45267\n31006 46452\n44441 66523\n44817 67102\n7605 11456\n84973 100000\n61683 92490\n45116 67546\n64903 97358\n52736 78990\n98493 100000\n14329 21564\n90113 100000\n24757 37144\n9852 14821\n34219 51273\n83495 100000\n85230 100000\n11036 16624\n8256 12427\n94901 100000\n93487 100000\n15301 23004\n36771 55063\n23905 35872\n10884 16386\n88397 100000\n28731 43069\n34349 51461\n55126 82577\n68946 100000\n64549 96817\n23324 35011\n57002 85426\n25287 37931\n38213 57205\n52450 78565\n4950 7478\n5054 7630\n64359 96537\n99596 100000\n46811 70080\n45920 68747\n95248 100000\n22442 33710\n86722 100000\n57736 86538\n90460 100000\n7899 11893\n63481 95198\n36701 54959\n6590 9946\n36262 54294\n76623 100000\n53433 80032\n9680 14557\n8877 13354\n37151 55622\n76571 100000\n33539 50247\n64037 96043\n76218 100000\n31741 47554\n82277 100000\n62686 94015\n69310 100000\n59544 89271\n7384 11125\n12569 18923\n97977 100000\n28101 42140\n22078 33160\n49277 73822\n76953 100000\n15596 23440\n84594 100000\n32941 49352\n55540 83206\n57269 85821\n6831 10319\n1186 1776\n14047 21141\n67114 100000\n84799 100000\n678 1014\n16670 25018\n45357 67901\n81827 100000\n94083 100000\n8041 12110\n67996 100000\n3289 4973\n99169 100000\n19488 29285\n74662 100000\n89151 100000\n79621 100000\n36085 54023\n49726 74506\n99077 100000\n62688 94018\n57142 85626\n90220 100000\n32560 48763\n84183 100000\n34724 52001\n96431 100000\n83884 100000\n46057 68947\n5336 8055\n3790 5710\n57571 86290\n90021 100000\n74179 100000\n1032 1549\n28823 43203\n9663 14530\n40806 61096\n19813 29760\n27174 40737\n14546 21879\n2288 3461\n80011 100000\n69572 100000\n81540 100000\n21347 32056\n29535 44253\n68131 100000\n11563 17415\n20496 30797\n7784 11722\n54100 81052\n13081 19687\n93367 100000\n75377 100000\n90069 100000\n34302 51395\n63107 94640\n41130 61588\n99995 100000\n82211 100000\n85065 100000\n26094 39145\n54723 81977\n15618 23471\n54378 81460\n32572 48784\n61761 92609\n75824 100000\n57555 86264\n82851 100000\n30640 45923\n6477 9773\n46019 68890\n42647 63859\n3749 5647\n12037 18113\n32692 48968\n89232 100000\n59615 89380\n63813 95718\n2199 3325\n5509 8314\n95328 100000\n28564 42826\n78963 100000\n87666 100000\n93683 100000\n28939 43380\n94167 100000\n87703 100000\n14174 21341\n94544 100000\n82533 100000\n89079 100000\n26796 40174\n17879 26842\n10276 15465\n57605 86340\n22613 33963\n47450 71048\n18320 27506\n20642 31012\n30445 45623\n54951 82315\n34633 51868\n25258 37888\n821 1230\n13389 20155\n65423 98141\n98961 100000\n43861 65655\n46299 69321\n62696 94030\n71862 100000\n70019 100000\n21393 32126\n54465 81592\n84022 100000\n13841 20821\n11556 17404\n2803 4236\n25914 38880\n69807 100000\n86140 100000\n28811 43183\n96070 100000\n13576 20432\n8062 12141\n71177 100000\n75304 100000\n13936 20963\n48684 72926\n81508 100000\n13070 19674\n20608 30960\n99577 100000\n55807 83608\n25695 38549\n49924 74802\n81630 100000\n9963 14987\n94930 100000\n54839 82150\n6827 10313\n32334 48430\n66316 99471\n42260 63289\n83726 100000\n3360 5078\n99431 100000\n44305 66320\n38381 57464\n2698 4089\n41349 61917\n10173 15308\n36487 54644\n47078 70480\n38224 57220\n3043 4615\n93837 100000\n76052 100000\n8186 12320\n83954 100000\n23733 35626\n60801 91157\n24542 36828\n54578 81761\n54977 82350\n2956 4477\n15933 23934\n65896 98847\n52215 78206\n48837 73161\n16002 24033\n93480 100000\n80683 100000\n40487 60618\n77994 100000\n25905 38869\n84868 100000\n74607 100000\n80961 100000\n67971 100000\n8960 13476\n57637 86386\n99879 100000\n84597 100000\n82557 100000\n84405 100000\n95619 100000\n58945 88343\n79393 100000\n73685 100000\n21635 32495\n11132 16768\n59790 89645\n8804 13246\n35125 52586\n43377 64948\n28013 41997\n75225 100000\n38702 57924\n34197 51239\n80278 100000\n1087 1630\n89747 100000\n3626 5468\n43607 65281\n79633 100000\n61133 91656\n36908 55260\n98954 100000\n31091 46574\n79666 100000\n15285 22983\n40714 60956\n79825 100000\n73642 100000\n98955 100000\n92187 100000\n93979 100000\n43154 64617\n98516 100000\n35282 52820\n13277 19989\n65004 97510\n84277 100000\n33762 50578\n11299 17027\n2505 3794\n40657 60874\n63904 95851\n35509 53158\n64597 96890\n1514 2266\n12659 19056\n83126 100000\n24769 37161\n79654 100000\n87854 100000\n71361 100000\n36132 54095\n51363 76961\n3438 5190\n46855 70140\n11895 17903\n80661 100000\n25853 38792\n10858 16346\n68630 100000\n17861 26817\n52334 78390\n27885 41801\n28988 43451\n17484 26251\n35737 53496\n87082 100000\n55365 82940\n50865 76206\n96253 100000\n24092 36153\n51994 77875\n16127 24218\n43164 64631\n4652 7026\n97655 100000\n43751 65499\n56186 84188\n63455 95154\n55850 83674\n1287 1927\n70170 100000\n85708 100000\n18989 28518\n16882 25345\n14680 22082\n3175 4807\n59075 88541\n37541 56196\n48215 72206\n28576 42846\n46325 69357\n47781 71538\n73501 100000\n47296 70817\n40198 60182\n90025 100000\n70359 100000\n80607 100000\n52023 77919\n54279 81316\n22751 34166\n83970 100000\n21953 32971\n28672 42986\n17282 25940\n19010 28553\n73395 100000\n30032 44995\n47307 70836\n90182 100000\n10880 16379\n86596 100000\n65080 97627\n20139 30251\n69394 100000\n31480 47155\n83162 100000\n2124 3209\n52226 78222\n43265 64786\n92082 100000\n69739 100000\n4521 6820\n58380 87500\n7538 11362\n70427 100000\n9076 13637\n61879 92786\n73238 100000\n31428 47081\n91357 100000\n11475 17283\n56652 84899\n99021 100000\n97206 100000\n66660 99990\n5871 8870\n43842 65629\n77826 100000\n78651 100000\n87883 100000\n14335 21573\n15522 23335\n26116 39178\n32818 49166\n21181 31813\n17081 25639\n99481 100000\n64660 96985\n37336 55897\n85181 100000\n92751 100000\n47851 71650\n71462 100000\n47601 71273\n75966 100000\n88059 100000\n90675 100000\n37452 56065\n81273 100000\n42594 63782\n29378 44024\n37402 55988\n36022 53929\n63901 95845\n5201 7851\n65969 98951\n35235 52749\n67865 100000\n56133 84106\n3903 5877\n18818 28255\n20583 30925\n66664 99996\n73938 100000\n58311 87401\n37773 56547\n11078 16687\n44484 66592\n70743 100000\n33533 50239\n15337 23063\n83798 100000\n81162 100000\n62036 93031\n70617 100000\n58692 87965\n15303 23006\n8993 13525\n82380 100000\n44889 67213\n23299 34978\n70338 100000\n45107 67533\n41307 61860\n1501 2245\n78764 100000\n26029 39048\n21913 32909\n16743 25127\n12347 18584\n80611 100000\n64876 97317\n1750 2629\n32971 49394\n85154 100000\n16013 24049\n17209 25830\n99497 100000\n76253 100000\n52879 79207\n745 1114\n54418 81519\n43162 64628\n22569 33895\n53575 80246\n66750 100000\n26535 39795\n30300 45407\n16862 25315\n31475 47149\n71107 100000\n14849 22339\n8322 12524\n81148 100000\n53873 80698\n50184 75185\n43246 64757\n59638 89412\n23750 35650\n28084 42110\n3390 5123\n51319 76889\n80732 100000\n34609 51834\n63570 95334\n37517 56161\n94227 100000\n81355 100000\n28135 42190\n85196 100000\n98253 100000\n37993 56876\n11264 16975\n39031 58431\n78232 100000\n52925 79278\n81172 100000\n53299 79833\n1064 1596\n31531 47233\n62912 94354\n7168 10805\n54332 81393\n88771 100000\n23084 34662\n2610 3956\n27439 41141\n8749 13163\n53424 80019\n25839 38772\n42873 64196\n21936 32944\n1099 1649\n17920 26903\n67884 100000\n38188 57167\n25802 38714\n32263 48325\n98712 100000\n36400 54507\n17462 26218\n16044 24091\n45851 68646\n10349 15573\n93668 100000\n62638 93940\n28761 43112\n44607 66777\n65613 98417\n92171 100000\n82707 100000\n54957 82322\n65384 98081\n92570 100000\n85513 100000\n28039 42040\n74143 100000\n73172 100000\n69374 100000\n42834 64142\n11892 17900\n29206 43763\n18089 27159\n77346 100000\n7894 11888\n46535 69678\n99040 100000\n13271 19979\n48752 73032\n26548 39814\n15509 23313\n42865 64186\n98931 100000\n88813 100000\n16941 25433\n70435 100000\n2537 3846\n63368 95026\n28966 43421\n1618 2423\n389 586\n13201 19867\n46214 69186\n4409 6652\n57834 86678\n72450 100000\n72224 100000\n11148 16797\n70908 100000\n24342 36532\n32931 49339\n50813 76131\n40628 60833\n68004 100000\n60880 91267\n89393 100000\n41931 62796\n4937 7456\n3192 4832\n10415 15675\n30461 45649\n13307 20034\n81655 100000\n10164 15294\n46161 69105\n44800 67080\n26321 39486\n94360 100000\n60407 90566\n88146 100000\n68797 100000\n78619 100000\n92244 100000\n1438 2149\n8838 13294\n45699 68415\n15809 23754\n25864 38808\n11569 17422\n73174 100000\n85705 100000\n63315 94953\n10563 15893\n70454 100000\n8660 13028\n48141 72089\n79849 100000\n42307 63359\n9988 15023\n66221 99330\n35964 53837\n84415 100000\n50112 75082\n57159 85653\n24499 36767\n93223 100000\n66822 100000\n40018 59909\n42151 63121\n10269 15455\n15625 23484\n58304 87390\n8636 12993\n63585 95360\n21436 32194\n7105 10712\n93481 100000\n48174 72139\n65360 98049\n46311 69337\n22159 33283\n809 1213\n41236 61754\n40216 60209\n1532 2292\n83733 100000\n34709 51976\n80310 100000\n1643 2463\n37287 55826\n83864 100000\n95164 100000\n58809 88143\n61566 92317\n62863 94285\n92728 100000\n83824 100000\n38303 57338\n38247 57256\n57531 86224\n66447 99661\n19015 28561\n75387 100000\n47267 70775\n86802 100000\n52921 79271\n37446 56055\n77135 100000\n46877 70172\n89611 100000\n13997 21062\n37826 56624\n6474 9768\n56084 84034\n87305 100000\n42826 64130\n60044 90026\n50719 75991\n65902 98857\n59619 89384\n10643 16018\n77999 100000\n62746 94109\n28372 42538\n60908 91310\n28624 42916\n95302 100000\n32153 48159\n57462 86111\n15622 23478\n94300 100000\n66975 100000\n69383 100000\n10005 15052\n13229 19913\n48165 72125\n47410 70989\n89044 100000\n92780 100000\n6334 9557\n57038 85477\n9811 14757\n48839 73165\n89455 100000\n8512 12804\n63865 95796\n45862 68663\n81136 100000\n49602 74319\n78746 100000\n64663 96988\n41097 61538\n26713 40055\n12306 18523\n78879 100000\n61614 92384\n43625 65313\n79535 100000\n49394 74011\n74209 100000\n85160 100000\n36760 55046\n47114 70536\n29991 44932\n10789 16245\n80184 100000\n686 1028\n77497 100000\n73242 100000\n64981 97477\n89211 100000\n28978 43437\n70975 100000\n94807 100000\n70576 100000\n74080 100000\n21878 32858\n88499 100000\n27473 41195\n38555 57714\n21760 32678\n97033 100000\n77835 100000\n27033 40526\n7865 11842\n87984 100000\n99282 100000\n75121 100000\n9827 14784\n88593 100000\n7742 11662\n46416 69488\n24450 36699\n80233 100000\n79984 100000\n66175 99258\n15115 22732\n52055 77967\n8346 12563\n77959 100000\n14751 22190\n53868 80690\n5923 8949\n85246 100000\n80852 100000\n90549 100000\n2319 3510\n53133 79586\n29093 43608\n46575 69741\n49625 74351\n70971 100000\n50806 76121\n23522 35314\n22961 34476\n93727 100000\n93866 100000\n57492 86158\n19032 28584\n28467 42680\n4968 7504\n84013 100000\n1601 2397\n78698 100000\n76629 100000\n92301 100000\n4485 6766\n6617 9987\n9178 13803\n85847 100000\n86362 100000\n28609 42895\n95377 100000\n41395 61989\n47980 71848\n34117 51117\n6859 10361\n76713 100000\n97390 100000\n4443 6706\n52178 78147\n14259 21459\n93889 100000\n50051 74995\n60812 91171\n36903 55253\n53022 79417\n66955 100000\n78588 100000\n7566 11403\n6888 10404\n94919 100000\n60979 91416\n61201 91757\n29313 43928\n9377 14104\n57688 86466\n53966 80843\n66741 100000\n80769 100000\n20616 30972\n90411 100000\n79954 100000\n38819 58103\n22839 34299\n31118 46615\n19371 29112\n2266 3429\n77898 100000\n53658 80371\n43141 64595\n73497 100000\n35706 53454\n87748 100000\n61790 92653\n20769 31206\n11584 17447\n82492 100000\n1644 2465\n63332 94974\n74985 100000\n60313 90424\n12045 18125\n18402 27625\n34058 51026\n85501 100000\n62360 93515\n37359 55927\n3170 4799\n32083 48059\n77614 100000\n91509 100000\n70660 100000\n75336 100000\n38573 57738\n8110 12208\n37033 55441\n77802 100000\n29465 44154\n94444 100000\n33906 50794\n28005 41982\n90520 100000\n16650 24987\n46533 69676\n37478 56105\n83592 100000\n6476 9771\n53875 80702\n95685 100000\n63003 94488\n97596 100000\n25699 38554\n91736 100000\n62946 94406\n89672 100000\n98653 100000\n98238 100000\n24079 36131\n37736 56487\n98722 100000\n76983 100000\n93998 100000\n33212 49755\n16422 24658\n87777 100000\n29707 44507\n4867 7353\n40947 61316\n78367 100000\n77239 100000\n46515 69647\n13242 19935\n18146 27246\n55033 82431\n24100 36164\n60390 90541\n15668 23544\n52670 78891\n98960 100000\n59167 88683\n38651 57846\n33624 50382\n87918 100000\n87039 100000\n44152 66088\n2970 4500\n15715 23617\n57495 86163\n92495 100000\n21414 32161\n77160 100000\n61116 91631\n58696 87970\n70458 100000\n21982 33010\n45176 67633\n47330 70870\n88829 100000\n23320 35006\n95871 100000\n20711 31117\n64736 97098\n48706 72958\n87402 100000\n69250 100000\n42185 63178\n94426 100000\n37188 55677\n70967 100000\n55783 83573\n12140 18266\n97900 100000\n55535 83199\n86608 100000\n98006 100000\n3910 5889\n90154 100000\n18541 27834\n4086 6168\n54184 81172\n48173 72137\n32435 48574\n12657 19054\n3890 5857\n68227 100000\n28887 43301\n81206 100000\n7825 11784\n10082 15169\n94260 100000\n679 1016\n2366 3585\n37284 55823\n52288 78315\n48433 72542\n17819 26752\n42686 63919\n88511 100000\n43306 64847\n24683 37042\n59268 88838\n75507 100000\n97435 100000\n55555 83230\n21293 31974\n2874 4348\n22228 33393\n29533 44249\n94314 100000\n13999 21065\n19263 28945\n30131 45145\n829 1239\n29542 44264\n31726 47532\n84657 100000\n2322 3513\n2494 3779\n34660 51905\n10810 16278\n75871 100000\n46974 70322\n29245 43821\n50354 75441\n25508 38265\n67696 100000\n47864 71669\n18124 27214\n70077 100000\n84372 100000\n17942 26936\n920 1373\n2852 4312\n16685 25041\n98547 100000\n15078 22679\n42021 62925\n19632 29499\n4749 7173\n26752 40108\n43668 65372\n75069 100000\n88070 100000\n42385 63479\n7306 11008\n22728 34129\n70047 100000\n25499 38251\n51389 76997\n56346 84427\n26134 39206\n47229 70717\n95236 100000\n12388 18646\n10635 16005\n92293 100000\n84242 100000\n67273 100000\n91487 100000\n87339 100000\n65063 97601\n6229 9397\n49507 74185\n87419 100000\n10150 15270\n81942 100000\n43629 65320\n49181 73683\n52614 78811\n27860 41765\n16375 24588\n10852 16338\n63521 95259\n91102 100000\n57862 86720\n95977 100000\n26484 39725\n3255 4922\n92977 100000\n92718 100000\n66490 99733\n53861 80683\n33138 49637\n82781 100000\n73927 100000\n70871 100000\n76075 100000\n9408 14144\n60215 90274\n40532 60688\n32738 49040\n6428 9696\n7104 10711\n45265 67763\n23335 35029\n29820 44681\n1046 1570\n48620 72828\n68649 100000\n31650 47413\n53036 79439\n87115 100000\n85414 100000\n37605 56294\n95477 100000\n46990 70346\n93660 100000\n4862 7344\n6643 10023\n94551 100000\n16468 24728\n73960 100000\n65119 97688\n54800 82097\n90556 100000\n58825 88168\n47099 70512\n30039 45007\n90217 100000\n9889 14879\n72508 100000\n34457 51616\n8341 12555\n34851 52186\n98281 100000\n75496 100000\n42389 63486\n32111 48099\n25684 38532\n66464 99690\n45004 67379\n27420 41114\n98478 100000\n36863 55191\n20911 31417\n93980 100000\n68240 100000\n51119 76588\n65139 97718\n52807 79099\n35882 53714\n96688 100000\n88523 100000\n61366 92003\n45209 67683\n85159 100000\n13007 19581\n22890 34373\n40063 59983\n25140 37714\n76617 100000\n89625 100000\n36209 54214\n82824 100000\n16908 25382\n75508 100000\n28938 43378\n24675 37028\n87045 100000\n28541 42794\n6261 9443\n9589 14417\n13619 20497\n44351 66391\n31497 47184\n11605 17475\n95372 100000\n78245 100000\n66217 99323\n30121 45127\n16181 24304\n84424 100000\n29301 43912\n68277 100000\n28495 42719\n84057 100000\n27777 41642\n67655 100000\n58872 88239\n50485 75632\n83160 100000\n9705 14593\n53384 79963\n77878 100000\n19276 28965\n49350 73935\n85857 100000\n94989 100000\n71852 100000\n26445 39669\n83068 100000\n48763 73049\n41538 62204\n30992 46432\n25693 38546\n65487 98231\n2044 3085\n9017 13558\n76645 100000\n29963 44886\n29891 44787\n39124 58568\n35709 53458\n32365 48474\n31928 47834\n94924 100000\n16451 24703\n98427 100000\n18531 27817\n82321 100000\n55292 82829\n83272 100000\n67222 100000\n15540 23359\n78281 100000\n61796 92662\n85259 100000\n88651 100000\n74679 100000\n60343 90467\n54309 81357\n6677 10079\n43151 64611\n28270 42391\n28820 43198\n60912 91316\n68036 100000\n65400 98106\n43074 64499\n96035 100000\n46808 70076\n89318 100000\n35558 53239\n96184 100000\n28765 43118\n3428 5177\n32027 47977\n11361 17117\n60954 91376\n80511 100000\n19340 29064\n96442 100000\n76721 100000\n41645 62364\n39471 59072\n26191 39295\n86321 100000\n60283 90377\n96314 100000\n52247 78253\n12120 18235\n11334 17083\n20874 31363\n57853 86706\n18116 27203\n94328 100000\n75704 100000\n82202 100000\n74224 100000\n7346 11064\n2261 3422\n53538 80190\n46960 70298\n51574 77271\n15358 23096\n17017 25544\n23946 35935\n4526 6828\n7511 11319\n37785 56567\n73296 100000\n68217 100000\n25562 38345\n56806 85130\n92327 100000\n89242 100000\n99291 100000\n15840 23798\n23263 34924\n51456 77099\n75848 100000\n23685 35555\n29349 43977\n58143 87151\n30307 45417\n56900 85267\n64646 96963\n16251 24410\n31779 47609\n51948 77809\n76913 100000\n30038 45006\n95117 100000\n71899 100000\n55853 83679\n9318 14014\n50498 75653\n9187 13818\n54499 81645\n13593 20456\n46557 69715\n13889 20895\n12187 18338\n18964 28483\n95778 100000\n41510 62159\n18422 27652\n62514 93756\n37869 56681\n75912 100000\n73466 100000\n13661 20561\n72873 100000\n82677 100000\n32854 49218\n95098 100000\n2918 4417\n90548 100000\n98803 100000\n66607 99909\n54462 81588\n73582 100000\n10767 16212\n35520 53176\n65227 97854\n55821 83631\n66667 100000\n94727 100000\n76264 100000\n9420 14163\n45083 67496\n37475 56101\n12785 19247\n74025 100000\n61772 92625\n9138 13740\n17234 25868\n33296 49884\n32849 49210\n7056 10642\n47389 70960\n98982 100000\n54289 81332\n55749 83524\n49184 73687\n62962 94431\n15903 23893\n59819 89684\n19539 29356\n7701 11598\n58589 87806\n62809 94200\n41964 62844\n37438 56042\n63121 94664\n20577 30916\n44381 66439\n71158 100000\n66303 99450\n11374 17136\n51112 76581\n47263 70769\n8702 13090\n71498 100000\n68018 100000\n58243 87293\n26108 39166\n32935 49344\n10544 15864\n18250 27399\n13228 19912\n34564 51767\n5257 7935\n70953 100000\n37407 55997\n64139 96198\n21700 32591\n32494 48662\n18684 28045\n69162 100000\n39279 58793\n63224 94813\n97094 100000\n78840 100000\n97990 100000\n96052 100000\n15444 23219\n97745 100000\n51572 77269\n54422 81525\n5566 8395\n89320 100000\n64637 96949\n1191 1784\n49027 73442\n29443 44122\n78870 100000\n83895 100000\n49285 73833\n61418 92084\n37953 56812\n63786 95671\n66517 99773\n41764 62545\n10939 16474\n60600 90856\n8521 12820\n71679 100000\n22489 33779\n71213 100000\n3098 4692\n12206 18369\n99380 100000\n43069 64490\n58672 87932\n52067 77986\n529 788\n5763 8694\n97391 100000\n91823 100000\n79610 100000\n33192 49723\n4203 6344\n85415 100000\n40119 60066\n58306 87393\n62581 93854\n50492 75644\n94622 100000\n32414 48543\n46682 69897\n27685 41508\n53960 80835\n22854 34317\n60970 91401\n29471 44162\n70776 100000\n12304 18521\n64957 97440\n11245 16945\n30198 45245\n80670 100000\n25965 38955\n31376 47009\n69303 100000\n54451 81571\n23514 35301\n1641 2459\n68652 100000\n52885 79216\n50572 75771\n70803 100000\n2484 3766\n90161 100000\n61808 92676\n89855 100000\n58569 87777\n1174 1761\n2361 3578\n19008 28549\n60090 90092\n41683 62425\n49446 74092\n71062 100000\n16680 25033\n45120 67550\n34340 51446\n20552 30880\n20811 31268\n29258 43842\n97280 100000\n98552 100000\n26331 39502\n3393 5129\n28242 42350\n23125 34723\n14624 21994\n95753 100000\n6973 10531\n51920 77770\n92126 100000\n90924 100000\n42058 62985\n92965 100000\n27301 40928\n8417 12665\n42696 63936\n64182 96266\n3858 5814\n20870 31357\n55077 82502\n75676 100000\n59145 88648\n97909 100000\n17649 26504\n19284 28976\n33161 49673\n78047 100000\n18717 28098\n96221 100000\n855 1271\n92324 100000\n94874 100000\n15983 24005\n19823 29777\n4161 6280\n22067 33142\n66208 99308\n76655 100000\n83108 100000\n62303 93439\n81596 100000\n74389 100000\n65689 98526\n44581 66734\n19583 29422\n27241 40840\n43370 64938\n2977 4511\n9389 14123\n86189 100000\n4288 6474\n19193 28837\n43087 64517\n26204 39313\n87352 100000\n385 581\n76736 100000\n53404 79994\n96399 100000\n91420 100000\n90483 100000\n9503 14290\n44873 67189\n27165 40723\n41338 61903\n51132 76607\n52634 78839\n98151 100000\n34355 51469\n25501 38254\n87349 100000\n65005 97511\n59913 89829\n1756 2639\n26066 39103\n37264 55792\n33868 50736\n6985 10548\n68617 100000\n78868 100000\n59065 88527\n92110 100000\n55544 83212\n14633 22010\n56926 85307\n24818 37227\n74222 100000\n46457 69553\n81142 100000\n42572 63754\n25994 38992\n94718 100000\n8182 12314\n91594 100000\n57443 86084\n6243 9416\n52653 78867\n2794 4224\n63311 94947\n48625 72835\n72618 100000\n76739 100000\n38639 57830\n4809 7263\n50052 74997\n75095 100000\n24415 36644\n85883 100000\n1684 2530\n52610 78805\n97135 100000\n82719 100000\n99108 100000\n2917 4415\n56148 84131\n28291 42420\n53286 79815\n23869 35819\n3547 5352\n54082 81025\n39859 59668\n80081 100000\n50195 75203\n81761 100000\n12237 18417\n68672 100000\n76936 100000\n48670 72902\n4431 6687\n93712 100000\n88820 100000\n15691 23579\n2028 3059\n37715 56455\n93785 100000\n35956 53825\n43076 64502\n75866 100000\n84665 100000\n99124 100000\n70735 100000\n98590 100000\n27471 41191\n90766 100000\n77439 100000\n97189 100000\n54868 82192\n38040 56945\n19266 28950\n93616 100000\n49601 74317\n99334 100000\n87391 100000\n93394 100000\n14597 21952\n24610 36932\n24172 36276\n73841 100000\n10169 15302\n24763 37152\n43436 65034\n32609 48842\n40632 60838\n51696 77446\n30774 46113\n89512 100000\n98162 100000\n79584 100000\n78115 100000\n92490 100000\n82649 100000\n59155 88664\n7216 10879\n28159 42229\n65965 98947\n37321 55876\n57828 86669\n90420 100000\n42742 64004\n25854 38794\n31431 47085\n9770 14693\n64517 96769\n87718 100000\n18485 27749\n11768 17724\n11125 16757\n98543 100000\n76429 100000\n68564 100000\n68765 100000\n72810 100000\n44179 66128\n1924 2907\n25556 38336\n51829 77641\n13381 20144\n21624 32480\n87648 100000\n27406 41091\n60706 91018\n93243 100000\n37941 56794\n14848 22337\n46614 69798\n48471 72600\n49498 74171\n50276 75323\n56477 84623\n54123 81082\n30223 45285\n82479 100000\n51794 77590\n34317 51416\n2677 4054\n74015 100000\n89748 100000\n12541 18883\n24088 36146\n61730 92558\n6608 9974\n65732 98595\n90229 100000\n55670 83403\n58157 87170\n79661 100000\n10647 16023\n56050 83981\n37127 55588\n24951 37427\n72980 100000\n82876 100000\n24716 37088\n60682 90984\n76235 100000\n65427 98146\n39425 59012\n89501 100000\n99293 100000\n42611 63809\n41629 62340\n87774 100000\n69497 100000\n7526 11345\n75623 100000\n85206 100000\n32377 48489\n77310 100000\n30672 45974\n86831 100000\n41165 61643\n2079 3144\n68086 100000\n47026 70403\n50159 75149\n53715 80459\n60080 90078\n46240 69230\n39465 59065\n51065 76506\n39774 59525\n93058 100000\n32401 48522\n21851 32818\n38569 57732\n25774 38671\n95152 100000\n26015 39024\n68484 100000\n24326 36508\n69610 100000\n73116 100000\n97370 100000\n78537 100000\n20339 30555\n8757 13174\n37645 56349\n73939 100000\n21488 32272\n24871 37311\n30404 45562\n15467 23251\n36537 54716\n28439 42638\n67137 100000\n55280 82808\n66994 100000\n72281 100000\n70132 100000\n89651 100000\n79107 100000\n85384 100000\n21528 32330\n8216 12364\n56381 84480\n35223 52728\n49419 74052\n67146 100000\n41968 62850\n27032 40524\n63651 95463\n39051 58460\n35786 53568\n23448 35197\n28778 43137\n95390 100000\n51485 77140\n94857 100000\n51186 76695\n89355 100000\n26420 39635\n36098 54041\n38043 56950\n84166 100000\n95965 100000\n38650 57845\n10075 15157\n30594 45852\n20822 31284\n53440 80044\n29505 44211\n43806 65574\n44445 66529\n45429 68011\n33441 50100\n98558 100000\n39289 58806\n91407 100000\n99127 100000\n8287 12475\n16454 24708\n32156 48164\n94967 100000\n98214 100000\n38505 57648\n16824 25256\n99663 100000\n84333 100000\n38720 57947\n67531 100000\n75106 100000\n97035 100000\n55324 82876\n22769 34192\n52187 78161\n54835 82146\n82438 100000\n32930 49337\n98700 100000\n4174 6301\n52491 78631\n87423 100000\n69115 100000\n92533 100000\n50765 76060\n4009 6042\n59726 89550\n5016 7570\n40427 60526\n70418 100000\n17335 26023\n32355 48460\n65475 98214\n9470 14241\n61223 91790\n4694 7086\n73863 100000\n33291 49878\n86492 100000\n43776 65536\n78545 100000\n88716 100000\n46464 69565\n3560 5372\n89035 100000\n57944 86850\n21000 31540\n3220 4871\n8701 13089\n92412 100000\n47073 70475\n13156 19803\n19020 28567\n26933 40376\n72717 100000\n47416 70997\n1793 2703\n73581 100000\n79359 100000\n35315 52867\n88524 100000\n52575 78756\n13805 20764\n94240 100000\n70694 100000\n75705 100000\n28846 43241\n21015 31563\n20762 31197\n81049 100000\n9978 15010\n18934 28435\n1540 2303\n63401 95075\n78429 100000\n81608 100000\n41719 62479\n45928 68758\n34749 52038\n21652 32521\n70520 100000\n55686 83429\n3134 4743\n30431 45605\n82448 100000\n48327 72378\n26794 40172\n48789 73091\n21465 32239\n86695 100000\n61541 92276\n51665 77399\n44314 66335\n51074 76520\n88476 100000\n41524 62182\n7022 10599\n94465 100000\n59229 88778\n20971 31505\n49097 73554\n95166 100000\n66434 99638\n5115 7728\n77321 100000\n29945 44863\n91259 100000\n15996 24025\n22122 33228\n50384 75487\n7378 11115\n78921 100000\n21052 31620\n43755 65505\n57388 85999\n1830 2759\n99259 100000\n84903 100000\n953 1427\n222 332\n38723 57952\n40498 60634\n84433 100000\n8924 13420\n21928 32931\n10233 15398\n80682 100000\n84933 100000\n35540 53210\n15218 22883\n26911 40347\n54215 81217\n1668 2502\n52176 78144\n48252 72264\n63557 95316\n42956 64323\n69838 100000\n35145 52615\n76546 100000\n78977 100000\n78103 100000\n69050 100000\n59475 89164\n9402 14138\n48523 72675\n87779 100000\n83842 100000\n69627 100000\n24918 37378\n9285 13964\n14020 21099\n97798 100000\n36441 54574\n31582 47307\n4314 6509\n13210 19883\n63439 95128\n52446 78558\n34027 50979\n16300 24481\n23794 35713\n74604 100000\n44270 66270\n77737 100000\n9873 14855\n4618 6977\n82352 100000\n66507 99759\n27834 41730\n42279 63318\n87609 100000\n2909 4404\n33335 49938\n15661 23533\n37022 55424\n1131 1697\n17112 25681\n12029 18099\n96732 100000\n64639 96952\n28408 42592\n11970 18009\n25825 38751\n9454 14216\n19875 29860\n27047 40549\n66079 99115\n16359 24564\n9729 14629\n89572 100000\n12749 19189\n6930 10466\n25795 38705\n34084 51068\n60543 90774\n7383 11123\n22998 34533\n32735 49036\n86217 100000\n52193 78170\n5716 8619\n22042 33103\n11771 17728\n68728 100000\n84730 100000\n7623 11487\n67968 100000\n32970 49393\n18183 27298\n24873 37314\n76389 100000\n52022 77918\n86748 100000\n59490 89188\n42804 64098\n35035 52457\n77761 100000\n53488 80115\n7674 11558\n44238 66220\n94374 100000\n18591 27904\n54888 82222\n68190 100000\n88742 100000\n34172 51203\n13464 20262\n69276 100000\n74365 100000\n59170 88686\n25480 38226\n64737 97099\n89860 100000\n54561 81739\n47271 70781\n8896 13381\n98090 100000\n4738 7156\n9038 13584\n77232 100000\n22692 34075\n40820 61117\n15141 22771\n79527 100000\n76931 100000\n56218 84236\n1539 2302\n6452 9733\n64803 97205\n28490 42710\n98933 100000\n45927 68757\n43326 64874\n1111 1665\n96291 100000\n63058 94566\n86698 100000\n17061 25607\n6773 10231\n93590 100000\n1526 2284\n67243 100000\n94031 100000\n6391 9641\n2778 4200\n80014 100000\n8738 13148\n77933 100000\n67969 100000\n41128 61585\n26889 40313\n85661 100000\n55548 83217\n66663 99994\n2300 3479\n25867 38813\n45726 68454\n20684 31076\n32552 48751\n30660 45954\n2924 4427\n56945 85335\n31655 47422\n44757 67014\n17162 25762\n47768 71518\n54716 81966\n37426 56024\n14290 21502\n57938 86842\n32746 49052\n6988 10552\n11751 17699\n65300 97963\n45795 68559\n19969 30002\n23313 34996\n8677 13054\n73444 100000\n21265 31935\n90170 100000\n76375 100000\n75913 100000\n3774 5687\n97349 100000\n90746 100000\n43695 65411\n74632 100000\n53904 80747\n93331 100000\n20979 31514\n80124 100000\n56029 83948\n22212 33368\n43909 65726\n66786 100000\n35701 53447\n97298 100000\n25336 38005\n15644 23509\n96309 100000\n74660 100000\n12575 18933\n34807 52125\n18976 28500\n80476 100000\n12018 18083\n43560 65214\n67148 100000\n357 539\n90935 100000\n84362 100000\n33460 50128\n27347 41003\n72006 100000\n91269 100000\n68028 100000\n3501 5285\n79526 100000\n10915 16439\n64583 96868\n88889 100000\n27051 40556\n30257 45337\n63522 95260\n8940 13446\n37209 55708\n65175 97777\n47684 71396\n18111 27197\n89024 100000\n48386 72470\n94002 100000\n14801 22267\n17291 25954\n90859 100000\n23182 34806\n11912 17926\n94429 100000\n99709 100000\n18248 27397\n86648 100000\n23542 35343\n50459 75591\n79746 100000\n40880 61213\n54674 81907\n96158 100000\n43015 64408\n91323 100000\n65219 97842\n44826 67116\n92313 100000\n37601 56288\n17149 25741\n19911 29917\n12661 19059\n54006 80905\n31501 47189\n7393 11136\n40334 60382\n56417 84536\n83571 100000\n89195 100000\n28385 42558\n20696 31093\n42001 62895\n30177 45213\n42418 63528\n68062 100000\n45829 68608\n88850 100000\n59960 89901\n92354 100000\n56001 83906\n73780 100000\n76162 100000\n34836 52167\n88729 100000\n44402 66469\n52707 78943\n8800 13239\n67465 100000\n10966 16511\n51159 76652\n23729 35620\n38426 57530\n75593 100000\n8651 13016\n64438 96651\n31561 47278\n49008 73415\n97327 100000\n22149 33270\n29129 43660\n59953 89889\n17235 25870\n79868 100000\n76343 100000\n48977 73371\n88395 100000\n47779 71536\n25213 37821\n50003 74922\n61774 92629\n10100 15198\n22858 34323\n5573 8404\n13992 21054\n83168 100000\n70618 100000\n31576 47298\n16752 25142\n12491 18805\n62407 93592\n41913 62771\n92694 100000\n67959 100000\n95833 100000\n90194 100000\n97669 100000\n37179 55665\n81748 100000\n66572 99860\n74865 100000\n89764 100000\n46314 69341\n46500 69623\n50883 76230\n59906 89818\n17206 25825\n78106 100000\n32511 48687\n49972 74878\n24074 36124\n97505 100000\n51303 76868\n17259 25906\n93370 100000\n12341 18573\n65457 98191\n79514 100000\n70374 100000\n30956 46380\n8649 13012\n88541 100000\n26246 39379\n60603 90861\n52467 78594\n19559 29383\n35166 52645\n85048 100000\n55482 83119\n20586 30930\n4919 7428\n42486 63630\n75850 100000\n42716 63967\n50694 75955\n30196 45242\n56386 84488\n14158 21316\n16161 24272\n15077 22677\n90962 100000\n98989 100000\n65313 97982\n39234 58726\n22210 33366\n25062 37602\n49156 73643\n5630 8485\n30622 45893\n89711 100000\n82456 100000\n75329 100000\n86653 100000\n93293 100000\n20305 30504\n89641 100000\n7193 10844\n34447 51604\n25861 38804\n60264 90348\n36515 54684\n85136 100000\n20918 31426\n22213 33370\n65543 98314\n83505 100000\n41910 62767\n70522 100000\n30303 45411\n11567 17419\n68015 100000\n3629 5471\n32842 49200\n5711 8613\n21110 31711\n17700 26582\n18105 27185\n74022 100000\n20716 31125\n56376 84472\n42545 63715\n97806 100000\n95384 100000\n27955 41905\n88929 100000\n60658 90949\n83706 100000\n87123 100000\n97726 100000\n68929 100000\n48541 72704\n47226 70713\n63166 94727\n52743 78999\n61518 92240\n33953 50868\n89477 100000\n33091 49573\n24995 37497\n23258 34919\n620 926\n15721 23626\n5367 8100\n68959 100000\n35732 53489\n21126 31734\n12757 19200\n57549 86253\n64218 96324\n84024 100000\n76265 100000\n32739 49042\n33998 50934\n17421 26158\n82706 100000\n31031 46488\n98034 100000\n31934 47841\n40953 61324\n18235 27379\n11889 17897\n19286 28979\n79256 100000\n31800 47640\n4392 6628\n31538 47243\n24643 36980\n83485 100000\n78394 100000\n5333 8050\n34595 51812\n19446 29220\n43148 64605\n80730 100000\n43375 64946\n57421 86053\n85601 100000\n65854 98780\n17610 26439\n34234 51296\n32573 48785\n79454 100000\n59672 89464\n17653 26511\n80990 100000\n31380 47013\n77269 100000\n51328 76905\n26700 40036\n10280 15470\n39267 58777\n77154 100000\n45334 67866\n39173 58642\n98153 100000\n20579 30918\n61272 91865\n44468 66568\n94878 100000\n80880 100000\n43979 65826\n33813 50653\n19887 29878\n58326 87422\n28724 43060\n99111 100000\n35243 52761\n86739 100000\n42073 63008\n72875 100000\n42551 63722\n32541 48734\n70248 100000\n90829 100000\n78510 100000\n48365 72436\n84953 100000\n38034 56937\n99518 100000\n66586 99880\n7385 11126\n99320 100000\n50102 75067\n93710 100000\n14065 21170\n64621 96928\n34362 51481\n78592 100000\n8455 12718\n40286 60310\n98023 100000\n21132 31742\n71119 100000\n70965 100000\n32223 48265\n11513 17341\n11921 17941\n71157 100000\n73881 100000\n31667 47440\n5152 7781\n64138 96197\n56999 85422\n6396 9648\n91366 100000\n23723 35613\n29318 43935\n50287 75340\n29522 44234\n27652 41458\n46042 68925\n43060 64476\n20919 31427\n9310 14002\n68823 100000\n76297 100000\n34079 51060\n35959 53829\n71978 100000\n18003 27028\n64050 96066\n41584 62272\n80877 100000\n23925 35902\n71129 100000\n92722 100000\n36292 54341\n9507 14297\n1978 2987\n31309 46905\n39578 59229\n91384 100000\n98412 100000\n36818 55127\n11651 17546\n38825 58113\n31670 47446\n32410 48536\n84342 100000\n38983 58355\n1458 2177\n38516 57664\n83918 100000\n21682 32564\n46880 70177\n36420 54541\n29393 44045\n41860 62702\n4405 6647\n2883 4361\n67746 100000\n61162 91698\n9230 13887\n99967 100000\n10558 15887\n26239 39369\n40117 60064\n22557 33880\n80872 100000\n8962 13480\n80971 100000\n784 1174\n11219 16907\n89016 100000\n57023 85457\n21274 31948\n12329 18554\n85976 100000\n51761 77541\n42822 64124\n85410 100000\n90130 100000\n8687 13070\n92434 100000\n56513 84679\n21305 31990\n62853 94268\n7934 11949\n96753 100000\n6818 10299\n17541 26337\n68072 100000\n7255 10934\n11829 17815\n61085 91581\n27432 41132\n53410 80001\n38706 57930\n88282 100000\n65159 97751\n48685 72927\n38837 58133\n89264 100000\n65106 97664\n3826 5764\n22867 34336\n8554 12867\n54280 81318\n5501 8300\n86486 100000\n32966 49388\n19348 29076\n88666 100000\n71225 100000\n28189 42273\n69206 100000\n64160 96233\n70096 100000\n24616 36943\n96668 100000\n95681 100000\n67292 100000\n76510 100000\n39473 59075\n80548 100000\n75285 100000\n14225 21411\n32109 48096\n66527 99790\n92595 100000\n79736 100000\n56284 84330\n82429 100000\n7520 11335\n98273 100000\n15569 23402\n13154 19799\n84857 100000\n73376 100000\n80656 100000\n33758 50573\n68304 100000\n28519 42756\n96933 100000\n84154 100000\n89097 100000\n91135 100000\n44062 65948\n99703 100000\n61535 92266\n81152 100000\n22493 33786\n52279 78302\n56514 84680\n37241 55761\n92691 100000\n24809 37214\n45172 67627\n769 1149\n31084 46564\n5334 8051\n88442 100000\n12889 19400\n38606 57788\n39395 58966\n22281 33474\n84231 100000\n39886 59713\n6968 10524\n57062 85514\n76588 100000\n49081 73526\n48923 73291\n75493 100000\n27754 41605\n67255 100000\n40236 60237\n63381 95046\n38245 57252\n98331 100000\n92094 100000\n28445 42647\n27040 40537\n47947 71795\n75946 100000\n75818 100000\n71820 100000\n33835 50687\n62820 94216\n97277 100000\n91415 100000\n46589 69764\n16301 24483\n23123 34720\n45841 68628\n69508 100000\n21065 31640\n40887 61225\n74928 100000\n3204 4848\n99209 100000\n8233 12391\n3259 4927\n60376 90520\n98402 100000\n94432 100000\n82613 100000\n32590 48811\n21843 32806\n13855 20843\n31205 46755\n4807 7261\n32787 49116\n80853 100000\n10442 15714\n43831 65611\n23952 35943\n88094 100000\n97389 100000\n53746 80508\n37602 56289\n27996 41969\n36519 54691\n49854 74700\n15040 22626\n22315 33520\n28834 43220\n34668 51917\n34921 52290\n5412 8169\n2545 3857\n92743 100000\n79254 100000\n17855 26806\n28559 42819\n19407 29166\n46358 69404\n7700 11597\n85459 100000\n76416 100000\n22928 34429\n62413 93603\n68344 100000\n6388 9638\n10838 16322\n33735 50539\n43315 64858\n39596 59257\n53393 79977\n94466 100000\n97173 100000\n51493 77155\n62868 94292\n94615 100000\n19712 29610\n99987 100000\n42945 64305\n32016 47962\n52780 79055\n86265 100000\n74068 100000\n7506 11309\n52836 79144\n48467 72595\n30410 45572\n86513 100000\n87301 100000\n68309 100000\n90783 100000\n53890 80726\n91544 100000\n41957 62834\n73783 100000\n36053 53974\n94425 100000\n52753 79015\n84581 100000\n41258 61787\n5553 8375\n35556 53236\n33099 49583\n4400 6640\n13589 20451\n1090 1635\n24817 37226\n75521 100000\n83632 100000\n91796 100000\n36451 54589\n78329 100000\n51253 76793\n3059 4635\n45179 67639\n75616 100000\n58036 86988\n89871 100000\n4155 6271\n53762 80537\n31275 46858\n28889 43305\n91287 100000\n97875 100000\n89743 100000\n76163 100000\n2089 3160\n64945 97421\n8448 12709\n96867 100000\n96461 100000\n48774 73067\n42042 62959\n5417 8175\n60030 90005\n20962 31492\n26039 39063\n68345 100000\n85108 100000\n3616 5452\n53535 80185\n69799 100000\n51778 77564\n10238 15407\n16665 25009\n44999 67373\n69628 100000\n99981 100000\n81209 100000\n33430 50086\n63006 94492\n28830 43212\n66203 99300\n89400 100000\n30194 45238\n47312 70843\n44434 66515\n13465 20263\n99895 100000\n89584 100000\n26719 40062\n24996 37499\n85566 100000\n14472 21768\n68595 100000\n95041 100000\n82230 100000\n18847 28300\n71641 100000\n305 456\n93685 100000\n63203 94782\n23235 34883\n67335 100000\n24425 36660\n91894 100000\n79674 100000\n41407 62007\n55118 82566\n24232 36360\n1038 1559\n77897 100000\n48809 73122\n2573 3901\n76157 100000\n23665 35522\n51531 77211\n11798 17767\n77512 100000\n6826 10311\n34281 51362\n36848 55169\n86304 100000\n57757 86568\n47528 71163\n2898 4384\n48687 72931\n39860 59670\n39180 58652\n86776 100000\n86784 100000\n75271 100000\n49861 74710\n93303 100000\n11594 17460\n27445 41151\n25113 37675\n21708 32602\n20959 31488\n93087 100000\n27328 40971\n51396 77007\n19207 28858\n41361 61934\n87200 100000\n30723 46043\n83945 100000\n90371 100000\n23329 35020\n57056 85504\n97273 100000\n39976 59845\n40752 61009\n70069 100000\n37607 56297\n54596 81788\n79956 100000\n86050 100000\n99510 100000\n61656 92448\n21908 32900\n37555 56217\n95715 100000\n82033 100000\n28919 43349\n29380 44026\n76961 100000\n24185 36293\n18448 27694\n28032 42028\n32598 48824\n18940 28445\n51449 77088\n98137 100000\n47076 70478\n74936 100000\n16128 24220\n53683 80410\n52104 78038\n18622 27955\n25681 38528\n4581 6917\n97961 100000\n37431 56032\n38562 57721\n47690 71405\n45200 67669\n4641 7010\n71554 100000\n16481 24750\n69348 100000\n17397 26121\n48246 72253\n45647 68338\n22599 33941\n63893 95835\n56912 85285\n38395 57486\n19225 28888\n16415 24646\n75419 100000\n31268 46850\n71824 100000\n83566 100000\n82813 100000\n19668 29548\n77765 100000\n50952 76340\n20343 30562\n936 1400\n5969 9021\n19534 29349\n81829 100000\n18017 27048\n44010 65871\n73176 100000\n49182 73684\n4179 6311\n81886 100000\n72364 100000\n44549 66687\n9807 14751\n72209 100000\n89542 100000\n50388 75492\n28335 42483\n4683 7072\n43864 65658\n17245 25884\n72928 100000\n23422 35158\n80163 100000\n16613 24938\n58270 87337\n56006 83914\n23932 35913\n83575 100000\n2709 4103\n52806 79097\n8235 12393\n16256 24418\n12505 18824\n90852 100000\n22881 34357\n61357 91988\n94526 100000\n43575 65235\n51451 77092\n80727 100000\n60814 91175\n36426 54551\n1922 2904\n7262 10945\n18978 28503\n4962 7494\n65790 98684\n30355 45486\n99785 100000\n55012 82403\n43358 64921\n96276 100000\n51336 76917\n25027 37549\n28153 42219\n32169 48185\n67562 100000\n55908 83760\n84303 100000\n83150 100000\n66171 99253\n6947 10492\n50685 75940\n26221 39338\n63071 94585\n98618 100000\n88914 100000\n59807 89668\n86829 100000\n19779 29708\n64964 97452\n15995 24023\n5132 7750\n46509 69637\n70493 100000\n11610 17482\n73732 100000\n6386 9636\n15835 23791\n7544 11371\n42403 63505\n30250 45328\n12130 18251\n16935 25426\n624 931\n99957 100000\n47179 70637\n87018 100000\n36357 54441\n86989 100000\n61344 91969\n33368 49989\n58125 87121\n41995 62886\n52315 78362\n85587 100000\n3153 4776\n97736 100000\n915 1365\n51987 77865\n70145 100000\n78908 100000\n84463 100000\n84059 100000\n9982 15016\n60984 91425\n34160 51183\n64566 96843\n267 399\n3273 4950\n35150 52621\n44791 67066\n16791 25208\n55654 83379\n4169 6293\n77102 100000\n68138 100000\n81717 100000\n36179 54166\n77823 100000\n51347 76936\n4965 7499\n68065 100000\n36325 54391\n96410 100000\n98300 100000\n55523 83180\n76231 100000\n14716 22138\n24953 37430\n50006 74926\n13587 20448\n7118 10728\n72835 100000\n63978 95954\n29870 44757\n92248 100000\n8405 12647\n16846 25289\n89115 100000\n11643 17535\n71396 100000\n51003 76413\n50698 75960\n71547 100000\n37090 55532\n62102 93131\n49296 73849\n85759 100000\n59994 89949\n21556 32375\n36372 54465\n66138 99205\n87242 100000\n15 22\n29037 43525\n82498 100000\n42988 64372\n87404 100000\n13844 20824\n67464 100000\n21837 32799\n24195 36307\n25663 38500\n2762 4180\n43416 65007\n8605 12951\n65079 97625\n32431 48567\n6777 10237\n59482 89173\n2632 3988\n88803 100000\n13765 20706\n60160 90192\n14177 21344\n12475 18779\n95173 100000\n88051 100000\n20725 31141\n75217 100000\n40729 60978\n17752 26656\n55814 83619\n48090 72015\n28364 42525\n88714 100000\n37781 56560\n91392 100000\n94536 100000\n59322 88924\n41450 62071\n95493 100000\n52863 79183\n55452 83073\n13190 19854\n13298 20021\n14145 21293\n30841 46213\n18326 27514\n25606 38415\n72597 100000\n47999 71878\n85354 100000\n72176 100000\n12923 19453\n76924 100000\n12400 18664\n76408 100000\n80140 100000\n81523 100000\n18993 28525\n62197 93274\n45273 67778\n2674 4049\n55834 83650\n7719 11626\n79738 100000\n69 101\n26460 39690\n24939 37411\n93617 100000\n32034 47986\n48718 72979\n46913 70229\n30812 46171\n34170 51201\n58508 87690\n1381 2063\n27689 41512\n15031 22614\n86493 100000\n48324 72374\n30994 46435\n79765 100000\n94201 100000\n81548 100000\n21396 32132\n85925 100000\n74208 100000\n550 824\n56872 85229\n30851 46228\n27142 40689\n34627 51859\n73429 100000\n91603 100000\n54751 82024\n31321 46925\n19033 28585\n89084 100000\n5869 8866\n84465 100000\n51935 77789\n30758 46094\n78534 100000\n26592 39878\n47020 70395\n4255 6426\n724 1081\n87048 100000\n54132 81092\n36241 54263\n39810 59590\n77302 100000\n10454 15729\n53660 80373\n46395 69458\n12089 18190\n87736 100000\n24481 36743\n30643 45926\n40423 60520\n41317 61874\n60458 90644\n99354 100000\n78886 100000\n37380 55955\n21727 32628\n76974 100000\n18784 28199\n62902 94339\n56601 84819\n51169 76666\n77471 100000\n42358 63439\n28325 42468\n83952 100000\n30144 45165\n58150 87160\n21355 32070\n89270 100000\n26797 40175\n49918 74794\n34512 51699\n72261 100000\n51204 76720\n24167 36268\n59481 89171\n1635 2451\n23193 34821\n19399 29155\n95221 100000\n36907 55259\n2461 3731\n15006 22578\n60980 91418\n50976 76374\n92342 100000\n88712 100000\n6986 10549\n86934 100000\n65726 98584\n43932 65756\n25015 37529\n28771 43127\n73309 100000\n88869 100000\n52561 78738\n61293 91895\n82790 100000\n31393 47031\n43522 65158\n27759 41615\n63589 95366\n35257 52781\n53783 80569\n60960 91387\n55154 82618\n84273 100000\n52382 78458\n72164 100000\n830 1240\n17115 25686\n86837 100000\n5993 9055\n62283 93408\n44610 66782\n23528 35323\n55659 83386\n76441 100000\n32280 48351\n94978 100000\n55403 83000\n16865 25319\n96298 100000\n35025 52442\n54107 81063\n60190 90237\n60317 90430\n37558 56223\n80864 100000\n41396 61990\n32820 49168\n88973 100000\n44394 66458\n46894 70200\n48088 72013\n56691 84957\n23785 35700\n60751 91089\n95309 100000\n69904 100000\n7354 11079\n5921 8947\n60359 90492\n70699 100000\n35595 53293\n8118 12218\n33500 50190\n72768 100000\n4438 6697\n79352 100000\n39679 59381\n63561 95321\n88090 100000\n81865 100000\n72988 100000\n73628 100000\n92336 100000\n4410 6654\n49458 74106\n8080 12167\n5636 8495\n3948 5948\n94764 100000\n70441 100000\n16329 24520\n81667 100000\n34563 51766\n85357 100000\n99275 100000\n95193 100000\n58030 86980\n14044 21137\n52530 78692\n77847 100000\n32184 48206\n87315 100000\n570 854\n77093 100000\n35642 53361\n43715 65442\n16706 25074\n85922 100000\n22327 33534\n50132 75110\n15941 23947\n23984 35993\n88286 100000\n38483 57614\n28735 43076\n87021 100000\n52656 78871\n25197 37798\n18347 27544\n15647 23513\n89947 100000\n98325 100000\n9868 14848\n96271 100000\n67007 100000\n75782 100000\n73148 100000\n93786 100000\n74164 100000\n48400 72492\n25068 37611\n87131 100000\n68778 100000\n29147 43686\n31096 46580\n45970 68825\n77917 100000\n55559 83236\n79943 100000\n9848 14815\n68297 100000\n21366 32089\n77668 100000\n95554 100000\n23648 35497\n50494 75647\n73784 100000\n13515 20334\n40924 61282\n28184 42267\n29611 44376\n54976 82349\n98809 100000\n70773 100000\n2191 3313\n65090 97642\n35895 53734\n2014 3036\n35202 52694\n77952 100000\n86237 100000\n27595 41374\n50458 75589\n82214 100000\n19966 29998\n46347 69386\n85770 100000\n62358 93512\n45794 68558\n99728 100000\n56946 85337\n40784 61062\n86999 100000\n7481 11273\n87906 100000\n78235 100000\n58282 87355\n72515 100000\n63818 95724\n38175 57149\n56666 84920\n86983 100000\n42670 63897\n55085 82515\n83294 100000\n58647 87893\n71910 100000\n46142 69075\n81333 100000\n94722 100000\n80589 100000\n16055 24110\n45856 68654\n65808 98711\n59521 89236\n85105 100000\n40989 61380\n56614 84840\n35437 53055\n22936 34441\n93865 100000\n90398 100000\n26936 40381\n62490 93722\n34540 51736\n1962 2962\n2043 3084\n83395 100000\n53842 80655\n57424 86058\n4057 6122\n67737 100000\n83017 100000\n52486 78624\n39141 58592\n79192 100000\n92489 100000\n70851 100000\n20419 30683\n64782 97169\n61084 91580\n34354 51468\n28704 43030\n71846 100000\n36929 55290\n63195 94767\n75733 100000\n93654 100000\n28520 42758\n39330 58869\n9033 13579\n60404 90562\n92572 100000\n1161 1742\n88839 100000\n23426 35164\n22415 33669\n26871 40286\n96189 100000\n95002 100000\n72932 100000\n78080 100000\n46100 69017\n4798 7245\n95506 100000\n54036 80952\n81770 100000\n38388 57475\n26428 39644\n81709 100000\n67705 100000\n3898 5869\n46692 69912\n4472 6744\n90459 100000\n62973 94445\n51752 77527\n41042 61455\n70641 100000\n90479 100000\n70656 100000\n67755 100000\n2885 4364\n75723 100000\n91624 100000\n99602 100000\n34764 52062\n48679 72917\n66386 99569\n77445 100000\n82594 100000\n17941 26935\n10162 15291\n35516 53169\n68283 100000\n70217 100000\n3699 5573\n34040 51000\n14311 21539\n89207 100000\n63126 94672\n95130 100000\n65019 97532\n56054 83987\n17159 25757\n39220 58710\n38382 57466\n8333 12543\n54456 81579\n94790 100000\n38967 58328\n59086 88559\n57452 86096\n74290 100000\n92366 100000\n24891 37343\n68701 100000\n74141 100000\n86859 100000\n332 498\n74657 100000\n69102 100000\n60787 91137\n29480 44175\n42099 63045\n98850 100000\n64097 96137\n50078 75035\n80897 100000\n58571 87781\n27688 41511\n83728 100000\n63968 95941\n18358 27562\n8790 13222\n53353 79914\n53366 79933\n26714 40056\n15320 23034\n50707 75972\n35534 53200\n94339 100000\n2263 3425\n30151 45176\n55327 82880\n45972 68827\n42999 64385\n82945 100000\n15123 22743\n38038 56943\n61128 91647\n29606 44368\n43637 65330\n1972 2979\n89283 100000\n33915 50807\n95642 100000\n50441 75563\n53974 80855\n65021 97535\n45369 67919\n1077 1615\n58316 87409\n28315 42454\n54599 81792\n62180 93249\n4815 7272\n50220 75239\n50767 76064\n31359 46983\n9502 14288\n86559 100000\n77821 100000\n88851 100000\n7285 10975\n27954 41904\n96952 100000\n81167 100000\n95429 100000\n71281 100000\n31360 46985\n9697 14580\n40302 60333\n5348 8071\n8712 13102\n95528 100000\n44658 66859\n71713 100000\n1031 1547\n85333 100000\n47848 71646\n37595 56278\n48296 72328\n79976 100000\n16579 24894\n3920 5906\n78772 100000\n1411 2109\n61074 91564\n61351 91979\n61089 91588\n81380 100000\n28297 42427\n27597 41377\n88408 100000\n29902 44803\n65326 98001\n68482 100000\n93891 100000\n49056 73487\n40759 61021\n7823 11781\n28884 43297\n70213 100000\n650 969\n8474 12743\n53205 79687\n52624 78826\n66830 100000\n67147 100000\n1422 2126\n12697 19112\n81123 100000\n43230 64731\n61416 92080\n28314 42453\n88522 100000\n54993 82373\n66094 99139\n28269 42390\n48959 73341\n27429 41128\n92620 100000\n44912 67248\n21094 31685\n60028 90002\n22537 33850\n43132 64583\n50316 75384\n92239 100000\n50045 74987\n85097 100000\n84712 100000\n78571 100000\n4291 6479\n70718 100000\n83358 100000\n54199 81195\n7682 11570\n53149 79607\n29825 44689\n36866 55195\n43259 64778\n72083 100000\n154 224\n54056 80983\n26705 40042\n95880 100000\n84521 100000\n20455 30740\n5859 8848\n30129 45141\n64078 96110\n76636 100000\n19756 29673\n34162 51186\n34119 51119\n56436 84563\n33386 50018\n240 360\n35707 53456\n89587 100000\n38510 57655\n11353 17106\n41789 62587\n42769 64044\n20778 31218\n35664 53395\n94974 100000\n56410 84525\n52452 78569\n71724 100000\n47721 71444\n72868 100000\n69280 100000\n19304 29006\n15539 23357\n37896 56726\n10392 15638\n56420 84542\n18119 27208\n64620 96927\n16755 25147\n90461 100000\n62741 94103\n30605 45868\n16464 24721\n35596 53294\n30278 45371\n29700 44496\n307 460\n66756 100000\n94264 100000\n89187 100000\n70021 100000\n79930 100000\n97318 100000\n80507 100000\n84647 100000\n24603 36922\n39249 58751\n8947 13455\n73102 100000\n48259 72273\n59666 89454\n53380 79956\n49019 73430\n53849 80665\n38093 57026\n84479 100000\n93576 100000\n13470 20270\n38352 57418\n60329 90446\n72361 100000\n32172 48188\n66853 100000\n22471 33754\n79600 100000\n81163 100000\n74512 100000\n26114 39174\n63281 94901\n26812 40197\n64508 96755\n29077 43583\n23820 35749\n90287 100000\n70352 100000\n47936 71777\n19605 29458\n42701 63945\n60361 90495\n79443 100000\n16671 25020\n65386 98084\n56763 85062\n91498 100000\n76338 100000\n53826 80631\n99677 100000\n6412 9671\n60054 90038\n14265 21468\n98029 100000\n96834 100000\n64150 96217\n8704 13092\n35036 52459\n55566 83248\n28687 43010\n98043 100000\n44328 66357\n62359 93513\n79311 100000\n56576 84776\n59794 89650\n2385 3616\n21032 31589\n7607 11459\n98499 100000\n1314 1964\n21362 32083\n98568 100000\n11415 17197\n69728 100000\n27628 41421\n1171 1757\n512 762\n92427 100000\n9755 14671\n3991 6016\n33969 50891\n60918 91324\n27191 40761\n41604 62304\n93939 100000\n783 1172\n35098 52552\n10303 15502\n9566 14385\n17820 26754\n89721 100000\n16751 25140\n59101 88581\n92246 100000\n28092 42125\n3046 4618\n59129 88624\n64896 97347\n94522 100000\n30771 46109\n58856 88215\n97621 100000\n65240 97872\n61744 92580\n53418 80011\n47234 70727\n32302 48381\n24899 37355\n39927 59772\n3465 5229\n16332 24524\n64248 96372\n7279 10967\n31921 47824\n72559 100000\n72745 100000\n94956 100000\n12671 19074\n7489 11285\n19646 29519\n42215 63223\n85147 100000\n35224 52730\n74181 100000\n91997 100000\n88179 100000\n68435 100000\n38163 57129\n75988 100000\n55804 83603\n28894 43313\n10222 15379\n88025 100000\n26175 39271\n72818 100000\n29907 44810\n910 1356\n77086 100000\n74150 100000\n91009 100000\n34641 51878\n89681 100000\n54147 81117\n57275 85828\n4612 6968\n13153 19797\n95499 100000\n72659 100000\n44764 67025\n61638 92419\n67385 100000\n39360 58913\n38456 57572\n23507 35289\n8005 12059\n72064 100000\n95869 100000\n28959 43410\n79498 100000\n39591 59249\n93859 100000\n61592 92354\n52075 77997\n41181 61667\n607 908\n64483 96716\n95608 100000\n67233 100000\n97852 100000\n3310 5004\n45147 67588\n47441 71035\n77890 100000\n29114 43638\n92986 100000\n48168 72130\n65059 97594\n15223 22890\n86907 100000\n78488 100000\n66869 100000\n56102 84061\n84654 100000\n43797 65562\n67944 100000\n45843 68632\n43571 65227\n88010 100000\n48833 73157\n29584 44335\n54185 81173\n21629 32488\n74054 100000\n91969 100000\n31058 46525\n78570 100000\n45303 67819\n86441 100000\n11518 17350\n91186 100000\n98685 100000\n19643 29514\n93822 100000\n75363 100000\n90757 100000\n82623 100000\n62009 92994\n4018 6058\n80580 100000\n53880 80709\n5695 8588\n38236 57239\n75662 100000\n23118 34710\n77331 100000\n68051 100000\n12328 18552\n36770 55062\n24207 36324\n68576 100000\n3358 5076\n57728 86526\n83241 100000\n17176 25782\n8267 12442\n94404 100000\n35618 53327\n21706 32599\n13059 19659\n63477 95192\n37299 55845\n8325 12530\n43184 64659\n20557 30888\n20512 30819\n36700 54958\n38143 57098\n52841 79150\n20819 31280\n23165 34780\n86315 100000\n47256 70759\n20897 31397\n42087 63029\n2383 3613\n39405 58983\n12334 18562\n14030 21115\n25738 38615\n40578 60754\n73274 100000\n69174 100000\n65083 97631\n45049 67445\n46150 69088\n82621 100000\n63644 95450\n37435 56038\n62954 94419\n32761 49077\n15164 22809\n3561 5374\n40702 60940\n92809 100000\n97975 100000\n7972 12010\n72567 100000\n9428 14176\n59246 88805\n35633 53346\n46634 69826\n15409 23171\n96243 100000\n16109 24190\n37166 55644\n29857 44736\n10185 15325\n97507 100000\n66264 99391\n35416 53017\n47701 71418\n80598 100000\n63539 95291\n34632 51867\n60841 91214\n74429 100000\n2496 3783\n7421 11179\n48878 73226\n15042 22629\n11396 17169\n25088 37641\n15050 22638\n72943 100000\n54821 82124\n58634 87874\n91514 100000\n98039 100000\n58109 87096\n14913 22435\n34257 51326\n88848 100000\n16371 24582\n62506 93744\n16032 24074\n37559 56225\n43630 65321\n77313 100000\n69879 100000\n72525 100000\n3892 5859\n79810 100000\n92007 100000\n51639 77362\n66752 100000\n86339 100000\n90697 100000\n53186 79660\n27403 41086\n41797 62601\n98589 100000\n61705 92522\n52214 78205\n57857 86712\n27615 41401\n5997 9062\n3631 5474\n23756 35660\n4292 6480\n28498 42725\n27467 41186\n43103 64542\n68450 100000\n66961 100000\n91661 100000\n58959 88365\n35323 52879\n47357 70912\n9714 14607\n92845 100000\n3102 4697\n51192 76703\n46517 69651\n10888 16394\n83038 100000\n17654 26513\n93103 100000\n17815 26746\n30047 45021\n3738 5629\n94687 100000\n94838 100000\n47260 70764\n15380 23127\n98317 100000\n13726 20653\n1733 2602\n33332 49935\n95245 100000\n30197 45244\n13759 20698\n15207 22870\n84416 100000\n50926 76299\n80271 100000\n5697 8592\n55949 83825\n78450 100000\n7490 11287\n46132 69060\n15725 23631\n23765 35669\n22441 33709\n67214 100000\n90680 100000\n89791 100000\n40115 60062\n9085 13650\n63641 95445\n60990 91433\n44255 66248\n16019 24057\n46089 68999\n91545 100000\n30358 45489\n29294 43901\n12258 18453\n12990 19554\n44881 67199\n22478 33764\n32247 48303\n37611 56303\n3493 5273\n27052 40557\n26150 39230\n67251 100000\n18773 28180\n54041 80960\n66267 99395\n90511 100000\n7361 11090\n64614 96919\n32464 48617\n49913 74788\n92014 100000\n65618 98425\n63986 95966\n14487 21791\n70758 100000\n74295 100000\n51459 77103\n4804 7255\n63964 95935\n77066 100000\n17361 26065\n32731 49028\n30276 45368\n65508 98263\n77873 100000\n82194 100000\n2581 3911\n97382 100000\n31236 46803\n6526 9850\n39084 58507\n55175 82648\n1273 1905\n1883 2843\n79042 100000\n66419 99616\n22941 34449\n2381 3611\n79139 100000\n49735 74519\n12811 19283\n64016 96011\n70987 100000\n81038 100000\n73467 100000\n80418 100000\n75351 100000\n92437 100000\n19682 29568\n49702 74465\n22824 34273\n63666 95486\n42090 63033\n35820 53618\n97618 100000\n55725 83488\n74774 100000\n7357 11084\n46186 69143\n9681 14558\n47497 71116\n70920 100000\n75536 100000\n27930 41871\n3594 5421\n33110 49599\n76714 100000\n5112 7724\n29160 43705\n61820 92694\n69049 100000\n17160 25758\n9450 14210\n52297 78330\n62939 94396\n30411 45574\n2075 3136\n37449 56060\n94739 100000\n49183 73686\n14402 21670\n13333 20068\n63670 95492\n75669 100000\n84861 100000\n12994 19560\n88378 100000\n36502 54667\n99763 100000\n76028 100000\n83762 100000\n73220 100000\n11087 16701\n38105 57042\n43188 64667\n87139 100000\n99001 100000\n29728 44542\n16946 25438\n77057 100000\n80799 100000\n26154 39236\n27859 41763\n45232 67717\n79136 100000\n658 982\n71731 100000\n79132 100000\n40148 60109\n6015 9084\n50376 75474\n20113 30217\n82078 100000\n32520 48703\n79414 100000\n44176 66124\n37916 56755\n89541 100000\n78508 100000\n20030 30093\n55031 82429\n30603 45865\n79834 100000\n17077 25632\n43725 65460\n83002 100000\n92892 100000\n84455 100000\n32537 48728\n34145 51159\n59311 88908\n45131 67566\n97155 100000\n90945 100000\n58582 87798\n51269 76818\n8185 12318\n65218 97841\n75110 100000\n96288 100000\n44013 65877\n40035 59935\n30508 45717\n61140 91665\n38874 58191\n49009 73417\n7887 11877\n59150 88655\n88702 100000\n54594 81784\n80935 100000\n67838 100000\n47068 70468\n14202 21379\n87875 100000\n64366 96545\n21824 32779\n30906 46306\n31201 46748\n88811 100000\n46567 69732\n16229 24374\n87346 100000\n24114 36185\n97911 100000\n2584 3914\n58522 87712\n19577 29412\n4650 7023\n93061 100000\n97328 100000\n67070 100000\n40833 61137\n53640 80343\n32922 49325\n39734 59465\n17842 26787\n94144 100000\n72072 100000\n67743 100000\n53620 80314\n68185 100000\n31866 47740\n27071 40583\n13000 19569\n81421 100000\n68677 100000\n66749 100000\n21507 32299\n14935 22471\n91809 100000\n65314 97983\n85715 100000\n52165 78126\n62718 94068\n3496 5278\n5714 8617\n72311 100000\n39091 58516\n4109 6201\n17054 25598\n42417 63526\n5040 7605\n88109 100000\n75770 100000\n84574 100000\n10176 15312\n4566 6891\n76405 100000\n59982 89931\n29842 44715\n31903 47795\n83539 100000\n96145 100000\n59836 89713\n35179 52663\n18316 27501\n7868 11848\n10959 16501\n59877 89775\n57962 86875\n71391 100000\n75943 100000\n94732 100000\n33587 50316\n86672 100000\n55631 83346\n27016 40499\n59624 89392\n92022 100000\n13724 20650\n98867 100000\n30863 46246\n91197 100000\n43490 65114\n68591 100000\n5224 7885\n84293 100000\n84696 100000\n93882 100000\n59308 88905\n16467 24726\n42998 64384\n92010 100000\n26641 39944\n42446 63568\n30211 45266\n66110 99165\n24828 37243\n17456 26208\n22141 33257\n93049 100000\n374 565\n21395 32130\n73731 100000\n99444 100000\n65324 97998\n91798 100000\n99331 100000\n58413 87552\n35551 53229\n61200 91755\n94516 100000\n392 591\n88565 100000\n37641 56342\n12157 18291\n10954 16493\n94592 100000\n38787 58054\n88799 100000\n74665 100000\n83284 100000\n35336 52899\n38196 57180\n4629 6993\n12417 18690\n10645 16020\n14028 21112\n51480 77134\n50141 75124\n11730 17664\n19328 29043\n29459 44143\n82408 100000\n59543 89269\n74542 100000\n26822 40211\n25383 38075\n69900 100000\n4189 6326\n86061 100000\n99089 100000\n60857 91234\n61005 91456\n56523 84694\n57378 85985\n24093 36154\n80908 100000\n23279 34947\n20884 31377\n13376 20138\n39043 58448\n56336 84411\n5820 8785\n76332 100000\n83368 100000\n4946 7471\n59968 89911\n41218 61726\n8552 12864\n65526 98289\n80253 100000\n93146 100000\n32680 48948\n70049 100000\n2859 4326\n14529 21855\n61693 92504\n7672 11555\n15842 23801\n43897 65711\n67141 100000\n11063 16665\n30220 45279\n76216 100000\n98656 100000\n44020 65888\n56800 85121\n48792 73096\n68052 100000\n73544 100000\n77585 100000\n69434 100000\n90831 100000\n40416 60508\n84819 100000\n12474 18778\n55675 83410\n42131 63092\n25436 38158\n68167 100000\n86583 100000\n29328 43949\n90741 100000\n86969 100000\n2812 4249\n18970 28493\n39323 58859\n3530 5327\n14803 22269\n77316 100000\n39907 59743\n31810 47654\n19826 29782\n20912 31418\n61949 92900\n44285 66290\n65957 98935\n89136 100000\n65972 98955\n28746 43092\n59183 88705\n29435 44110\n33586 50315\n65421 98139\n67917 100000\n7073 10666\n49882 74745\n26074 39116\n26059 39093\n15871 23842\n51010 76425\n98995 100000\n40828 61128\n49496 74169\n72345 100000\n94577 100000\n11207 16888\n81081 100000\n74927 100000\n16447 24698\n3847 5797\n45133 67568\n59529 89248\n53063 79485\n62005 92989\n78063 100000\n17578 26393\n84842 100000\n20435 30709\n37346 55909\n80228 100000\n22555 33877\n38481 57611\n54408 81505\n41821 62641\n82044 100000\n5467 8251\n8456 12719\n69658 100000\n16361 24566\n8616 12966\n30320 45435\n37915 56754\n50962 76354\n43709 65434\n78072 100000\n45047 67441\n61016 91473\n23431 35173\n95522 100000\n1925 2909\n52299 78334\n80453 100000\n87993 100000\n11644 17537\n74695 100000\n17619 26453\n70382 100000\n59218 88761\n3840 5787\n88790 100000\n13355 20106\n50157 75146\n88171 100000\n92889 100000\n39486 59096\n17011 25536\n41274 61809\n42208 63211\n73522 100000\n53839 80651\n53733 80485\n60769 91114\n50232 75257\n93887 100000\n58660 87913\n33802 50636\n92704 100000\n58977 88394\n52485 78622\n50545 75728\n37981 56853\n93722 100000\n7495 11294\n13880 20884\n80970 100000\n60856 91233\n36539 54718\n55287 82821\n90943 100000\n72511 100000\n55429 83042\n62565 93833\n39114 58552\n1121 1682\n57327 85911\n56586 84794\n52889 79222\n33754 50567\n69437 100000\n13747 20681\n82409 100000\n35299 52845\n17640 26489\n75760 100000\n69868 100000\n79086 100000\n79096 100000\n22153 33274\n83445 100000\n84897 100000\n32071 48041\n24745 37128\n18467 27722\n42228 63241\n60437 90611\n93499 100000\n29817 44677\n21610 32457\n65359 98047\n71367 100000\n95227 100000\n85137 100000\n57509 86187\n13369 20127\n44301 66315\n6352 9580\n13455 20252\n94313 100000\n61042 91513\n68650 100000\n6325 9543\n77002 100000\n76747 100000\n63732 95587\n18462 27715\n97019 100000\n52607 78800\n26459 39689\n64261 96388\n31143 46654\n78940 100000\n54114 81071\n91158 100000\n60017 89983\n23281 34951\n14765 22211\n55671 83405\n81261 100000\n21942 32955\n72134 100000\n99361 100000\n59955 89892\n31366 46994\n69037 100000\n36538 54717\n4748 7172\n92719 100000\n2241 3391\n52913 79259\n76831 100000\n9723 14618\n27710 41544\n1057 1586\n99251 100000\n31286 46873\n57997 86927\n88921 100000\n14604 21965\n8450 12711\n77229 100000\n55813 83617\n73202 100000\n78289 100000\n96022 100000\n91471 100000\n18746 28139\n14236 21425\n2358 3573\n38729 57961\n15252 22935\n27654 41460\n39615 59283\n3163 4788\n27893 41813\n41997 62889\n76802 100000\n37942 56795\n34739 52023\n8974 13498\n31683 47468\n90923 100000\n43409 64996\n13610 20482\n31930 47836\n89522 100000\n22917 34411\n99928 100000\n35705 53453\n8623 12975\n7002 10574\n8044 12114\n24090 36150\n7053 10637\n74699 100000\n62985 94465\n88943 100000\n28525 42767\n74818 100000\n12122 18238\n97627 100000\n84663 100000\n67447 100000\n77080 100000\n99784 100000\n45007 67383\n89159 100000\n49964 74865\n46435 69519\n20475 30765\n53948 80815\n84171 100000\n55341 82905\n15011 22584\n44548 66686\n27493 41223\n83509 100000\n92815 100000\n54608 81804\n57338 85928\n17602 26426\n63202 94780\n54438 81550\n57282 85842\n79278 100000\n75894 100000\n5243 7915\n97307 100000\n87850 100000\n21813 32761\n91062 100000\n40817 61111\n66747 100000\n80441 100000\n77693 100000\n4649 7022\n39213 58698\n97831 100000\n3 4\n96684 100000\n62759 94128\n59936 89864\n77070 100000\n89767 100000\n62596 93877\n87325 100000\n37058 55479\n2169 3278\n50756 76046\n2606 3950\n8659 13026\n68274 100000\n79713 100000\n79988 100000\n46982 70334\n53412 80003\n64717 97070\n95267 100000\n32068 48035\n94148 100000\n28509 42742\n58523 87713\n74859 100000\n99119 100000\n16843 25284\n73773 100000\n65576 98361\n65322 97996\n36755 55038\n99800 100000\n60046 90028\n7781 11717\n47673 71379\n55788 83582\n7304 11004\n88589 100000\n3369 5092\n71538 100000\n26545 39810\n48010 71893\n3209 4854\n62261 93372\n84436 100000\n28212 42305\n58402 87536\n94828 100000\n34492 51669\n17697 26578\n15508 23312\n57307 85881\n80190 100000\n8449 12710\n97780 100000\n57500 86172\n93125 100000\n31905 47799\n55251 82765\n79551 100000\n34057 51024\n19839 29804\n47126 70554\n90324 100000\n62495 93728\n18632 27970\n57615 86356\n5290 7985\n46141 69074\n34039 50998\n79018 100000\n50262 75303\n78674 100000\n94953 100000\n78658 100000\n92952 100000\n39078 58497\n26997 40466\n85788 100000\n38249 57260\n5642 8506\n65230 97859\n47023 70399\n37949 56808\n23509 35293\n34999 52405\n89705 100000\n66276 99409\n47220 70703\n31373 47005\n48326 72376\n77811 100000\n19321 29031\n19782 29712\n25622 38437\n67700 100000\n33147 49652\n90724 100000\n42121 63077\n22336 33547\n10787 16241\n55030 82428\n67174 100000\n94003 100000\n55745 83517\n48055 71963\n98907 100000\n58396 87525\n87955 100000\n49758 74551\n14861 22357\n1572 2357\n44331 66361\n92205 100000\n98725 100000\n63127 94674\n64184 96270\n81970 100000\n46088 68998\n78620 100000\n62462 93684\n99062 100000\n86035 100000\n71024 100000\n45080 67491\n95735 100000\n72267 100000\n7998 12050\n78102 100000\n3470 5238\n30288 45388\n37811 56606\n84677 100000\n41393 61985\n55059 82471\n66155 99228\n17555 26357\n9854 14825\n94598 100000\n66661 99991\n36714 54979\n90543 100000\n10448 15721\n48571 72750\n1245 1865\n57083 85543\n79904 100000\n96273 100000\n92674 100000\n94889 100000\n13372 20131\n34238 51301\n60852 91229\n44546 66683\n39522 59147\n71195 100000\n19654 29529\n69560 100000\n92846 100000\n70473 100000\n52101 78034\n44616 66793\n94799 100000\n58098 87081\n25270 37907\n82812 100000\n55276 82802\n71622 100000\n48501 72641\n76787 100000\n46290 69308\n8473 12742\n70703 100000\n88862 100000\n88756 100000\n48059 71969\n23536 35334\n86218 100000\n79001 100000\n87981 100000\n52284 78308\n9466 14234\n2525 3829\n95037 100000\n37675 56396\n55221 82719\n5610 8456\n91434 100000\n78900 100000\n86496 100000\n45166 67619\n65977 98963\n56296 84348\n58178 87200\n92959 100000\n20931 31448\n66215 99320\n58051 87010\n57078 85536\n31285 46871\n10495 15789\n75457 100000\n19424 29190\n23677 35541\n93232 100000\n10188 15328\n12261 18457\n57160 85655\n10862 16352\n67445 100000\n35019 52433\n20200 30349\n39680 59383\n64667 96995\n7804 11753\n23421 35157\n99195 100000\n83187 100000\n49884 74747\n9069 13627\n29554 44286\n43800 65565\n40388 60465\n14125 21264\n90882 100000\n81295 100000\n23360 35067\n7063 10653\n64786 97175\n98707 100000\n63291 94918\n83603 100000\n67092 100000\n77779 100000\n19330 29046\n75721 100000\n62250 93356\n8219 12368\n68809 100000\n81216 100000\n15273 22966\n15464 23247\n77339 100000\n81798 100000\n93605 100000\n61764 92612\n34324 51425\n82485 100000\n81621 100000\n50322 75393\n99550 100000\n80823 100000\n3486 5264\n56901 85269\n51418 77042\n32584 48801\n71044 100000\n72184 100000\n45996 68859\n42394 63493\n79854 100000\n52488 78627\n73026 100000\n53586 80262\n43335 64889\n58062 87029\n76190 100000\n13870 20866\n41742 62511\n545 815\n73878 100000\n5851 8834\n83450 100000\n68298 100000\n47730 71461\n45294 67808\n51497 77163\n10398 15648\n67390 100000\n11931 17953\n24237 36367\n3261 4929\n3976 5992\n77343 100000\n50985 76387\n8292 12482\n202 300\n86839 100000\n83936 100000\n77345 100000\n49650 74388\n66789 100000\n86703 100000\n69157 100000\n24507 36780\n68507 100000\n73088 100000\n43997 65851\n28872 43281\n1852 2795\n82799 100000\n21416 32163\n43863 65657\n40587 60768\n61138 91662\n72518 100000\n36825 55136\n14875 22378\n46728 69964\n44395 66460\n80575 100000\n35114 52572\n65022 97536\n26881 40300\n47959 71813\n35322 52877\n86123 100000\n60383 90531\n14783 22240\n39953 59811\n4609 6962\n78149 100000\n67321 100000\n91261 100000\n34733 52014\n89328 100000\n8470 12739\n96457 100000\n74108 100000\n17663 26528\n63212 94797\n71287 100000\n61687 92495\n39239 58735\n75716 100000\n20296 30489\n55472 83103\n79844 100000\n80131 100000\n23200 34833\n44895 67221\n37962 56828\n71762 100000\n74466 100000\n65062 97599\n11286 17010\n66639 99959\n12624 19007\n82714 100000\n64706 97054\n62480 93706\n48424 72529\n59442 89116\n38523 57672\n34314 51412\n31168 46694\n11623 17502\n29186 43735\n25306 37958\n83329 100000\n61193 91745\n42431 63546\n84270 100000\n43884 65689\n59702 89511\n63448 95143\n99541 100000\n92390 100000\n25357 38037\n33545 50255\n63512 95244\n73891 100000\n41646 62366\n93025 100000\n93802 100000\n72461 100000\n56215 84233\n25129 37698\n32682 48952\n28933 43371\n89110 100000\n31074 46549\n66913 100000\n75677 100000\n78345 100000\n94909 100000\n59205 88741\n90379 100000\n13102 19717\n67502 100000\n37614 56307\n48901 73258\n42862 64180\n97642 100000\n22381 33620\n95741 100000\n5572 8402\n97117 100000\n11978 18021\n41215 61721\n17714 26602\n1854 2798\n9869 14849\n84412 100000\n93279 100000\n36429 54556\n63493 95215\n90595 100000\n73487 100000\n40984 61371\n41885 62734\n38951 58306\n72152 100000\n96673 100000\n18428 27662\n42704 63950\n81323 100000\n74439 100000\n80366 100000\n81436 100000\n23383 35101\n16350 24552\n94770 100000\n13541 20375\n49101 73561\n44628 66811\n87156 100000\n70142 100000\n47122 70548\n10823 16301\n91141 100000\n43779 65540\n57156 85647\n72819 100000\n74349 100000\n53866 80688\n63357 95009\n51753 77529\n23463 35223\n13738 20669\n99894 100000\n78198 100000\n2593 3929\n8170 12294\n40796 61081\n5171 7809\n15181 22831\n34590 51805\n96836 100000\n55611 83313\n42820 64120\n25415 38126\n65254 97895\n72076 100000\n75820 100000\n33613 50363\n74592 100000\n61718 92541\n8976 13501\n26203 39311\n99868 100000\n34671 51921\n80568 100000\n50749 76036\n17739 26636\n62597 93878\n90176 100000\n25907 38873\n85184 100000\n99674 100000\n50266 75310\n26839 40236\n82363 100000\n13653 20549\n48013 71897\n49396 74014\n2711 4105\n23069 34640\n19116 28719\n90547 100000\n67839 100000\n16668 25014\n31212 46765\n51911 77757\n47163 70612\n63373 95034\n87257 100000\n83854 100000\n43480 65098\n48563 72740\n26976 40437\n91710 100000\n33856 50720\n63174 94740\n8803 13245\n63205 94786\n55844 83664\n68204 100000\n25302 37951\n18447 27693\n59802 89662\n98020 100000\n23999 36015\n52654 78869\n65471 98209\n95754 100000\n52960 79325\n36184 54176\n35398 52991\n43 61\n58719 88006\n60230 90295\n83082 100000\n90515 100000\n96870 100000\n25692 38544\n70518 100000\n11593 17458\n76142 100000\n88310 100000\n60830 91198\n13745 20677\n98864 100000\n866 1288\n70730 100000\n8510 12800\n63955 95922\n42624 63826\n76586 100000\n51150 76637\n14115 21249\n76192 100000\n91660 100000\n65194 97804\n89727 100000\n20775 31215\n31786 47621\n58231 87275\n76856 100000\n23741 35638\n13191 19855\n59427 89096\n52248 78255\n17296 25962\n40514 60656\n32616 48854\n81435 100000\n94350 100000\n64918 97382\n98971 100000\n53321 79865\n37697 56430\n72957 100000\n70368 100000\n904 1344\n98526 100000\n17796 26716\n71606 100000\n87299 100000\n32794 49126\n43289 64822\n68896 100000\n73452 100000\n29709 44511\n47074 70476\n84129 100000\n3135 4745\n40686 60916\n51367 76966\n50638 75868\n15060 22655\n12319 18541\n89725 100000\n49539 74225\n36872 55206\n10123 15233\n68286 100000\n67566 100000\n4333 6539\n64395 96586\n97753 100000\n46219 69194\n95106 100000\n36430 54558\n24399 36617\n7215 10878\n27631 41425\n32999 49435\n11349 17100\n15487 23280\n36654 54893\n5906 8928\n35674 53407\n14032 21117\n63896 95840\n71456 100000\n31765 47586\n75538 100000\n32398 48517\n18539 27831\n54524 81683\n37328 55886\n6603 9967\n64648 96966\n46406 69475\n99335 100000\n75021 100000\n72798 100000\n61483 92188\n48256 72269\n62706 94047\n76910 100000\n79050 100000\n86519 100000\n32132 48129\n8566 12888\n7912 11916\n23523 35315\n60047 90029\n52558 78733\n77960 100000\n91507 100000\n94271 100000\n6565 9910\n34375 51503\n87890 100000\n37816 56612\n3085 4673\n72327 100000\n90800 100000\n82369 100000\n56663 84916\n94181 100000\n78319 100000\n34293 51379\n4475 6749\n62473 93699\n54906 82249\n70288 100000\n65297 97957\n69543 100000\n57181 85685\n5567 8396\n76800 100000\n79225 100000\n90206 100000\n56606 84827\n78464 100000\n44860 67169\n6727 10160\n90264 100000\n69645 100000\n95538 100000\n90706 100000\n97269 100000\n39515 59138\n93485 100000\n63566 95329\n76355 100000\n17889 26858\n52289 78317\n20875 31364\n64515 96765\n6033 9112\n95062 100000\n68263 100000\n46968 70312\n21572 32397\n73465 100000\n46578 69746\n82085 100000\n40158 60124\n63062 94571\n92856 100000\n42138 63101\n43827 65605\n93173 100000\n86221 100000\n25876 38828\n58716 88001\n62865 94287\n51432 77058\n78606 100000\n58069 87040\n72414 100000\n2710 4104\n10067 15145\n70482 100000\n52658 78873\n82279 100000\n24309 36479\n98233 100000\n21031 31588\n9490 14271\n29462 44148\n79927 100000\n55932 83800\n83778 100000\n84307 100000\n66648 99970\n16999 25520\n45906 68727\n44149 66084\n92652 100000\n55364 82938\n24212 36332\n28028 42023\n19241 28913\n69533 100000\n52906 79251\n27479 41202\n62533 93785\n57942 86848\n20868 31353\n52747 79007\n3159 4783\n68787 100000\n63584 95358\n85525 100000\n11938 17962\n85599 100000\n36402 54510\n42114 63068\n83900 100000\n19750 29664\n83839 100000\n86872 100000\n28113 42158\n48181 72149\n91891 100000\n93208 100000\n64538 96803\n34088 51074\n19351 29079\n24943 37416\n47235 70729\n54566 81745\n97574 100000\n55968 83854\n27723 41560\n52506 78653\n26318 39482\n37014 55413\n8320 12522\n20524 30834\n52954 79317\n30564 45805\n21595 32432\n92539 100000\n74718 100000\n81703 100000\n53950 80818\n46262 69265\n96727 100000\n58122 87116\n92818 100000\n18488 27754\n80000 100000\n32241 48294\n39338 58882\n20630 30993\n35681 53416\n11184 16852\n33012 49452\n68027 100000\n88401 100000\n55931 83799\n45505 68125\n72384 100000\n18516 27794\n312 469\n10918 16444\n93701 100000\n91097 100000\n53283 79809\n23944 35932\n73729 100000\n70566 100000\n56179 84179\n37028 55435\n73226 100000\n6035 9116\n96895 100000\n47446 71043\n18297 27472\n75709 100000\n57793 86615\n16710 25081\n87460 100000\n39768 59517\n26187 39290\n44365 66414\n62402 93582\n54558 81734\n65632 98445\n2136 3227\n26342 39517\n83513 100000\n21381 32111\n45105 67531\n73181 100000\n88021 100000\n11708 17630\n5344 8066\n9508 14298\n87394 100000\n84761 100000\n27800 41680\n37012 55410\n17890 26859\n98486 100000\n37887 56711\n54712 81961\n78348 100000\n62872 94297\n87897 100000\n12310 18529\n69723 100000\n51687 77431\n22553 33875\n40126 60076\n55899 83749\n96475 100000\n21917 32914\n47300 70823\n70936 100000\n12535 18873\n58997 88422\n28181 42263\n78134 100000\n7903 11900\n3982 6002\n74898 100000\n2233 3379\n44608 66779\n13851 20837\n55114 82561\n2965 4492\n64404 96601\n18588 27900\n41792 62591\n66850 100000\n53295 79828\n89228 100000\n56070 84011\n86174 100000\n63663 95482\n86658 100000\n9744 14652\n89760 100000\n25807 38720\n75586 100000\n61149 91678\n94259 100000\n99708 100000\n640 955\n655 977\n75226 100000\n32684 48955\n74580 100000\n29677 44462\n73396 100000\n7885 11873\n43415 65005\n30951 46374\n45180 67641\n94333 100000\n75987 100000\n85575 100000\n9362 14082\n2589 3922\n40484 60614\n52441 78552\n99315 100000\n34438 51592\n13876 20877\n89099 100000\n57771 86586\n48692 72939\n32937 49347\n4832 7296\n11807 17781\n42274 63310\n6948 10494\n16237 24387\n22086 33172\n39850 59654\n79892 100000\n67791 100000\n55981 83873\n60642 90924\n749 1120\n15814 23764\n18476 27735\n91695 100000\n17617 26449\n7951 11975\n23147 34757\n35613 53319\n69455 100000\n50477 75620\n50933 76310\n52453 78571\n11926 17947\n69314 100000\n5810 8771\n97477 100000\n49073 73513\n64289 96430\n6151 9285\n98371 100000\n86500 100000\n23831 35765\n48414 72513\n3681 5543\n19872 29857\n61073 91562\n59191 88717\n68572 100000\n65529 98293\n63302 94934\n53541 80194\n91239 100000\n12393 18653\n82125 100000\n91118 100000\n61281 91878\n64817 97227\n17057 25601\n83071 100000\n24155 36249\n84876 100000\n10020 15074\n92011 100000\n71353 100000\n44741 66992\n40361 60427\n39123 58567\n81319 100000\n11265 16976\n52138 78086\n25558 38339\n17450 26200\n38991 58368\n58557 87759\n71097 100000\n96332 100000\n84805 100000\n80361 100000\n2974 4506\n44797 67075\n53367 79935\n54830 82139\n42715 63966\n98727 100000\n9552 14364\n63862 95791\n62342 93489\n72809 100000\n10116 15222\n56911 85283\n55173 82645\n97682 100000\n85675 100000\n4547 6863\n98937 100000\n56056 83991\n13171 19826\n47336 70878\n76014 100000\n18351 27552\n15184 22836\n39357 58910\n33824 50670\n59932 89858\n59502 89207\n25286 37930\n67313 100000\n60502 90713\n46353 69397\n56793 85109\n57830 86671\n71703 100000\n64492 96731\n67832 100000\n6591 9948\n55593 83288\n61188 91737\n80326 100000\n90353 100000\n57775 86592\n46601 69779\n27748 41597\n98007 100000\n13344 20088\n14316 21547\n76908 100000\n22208 33362\n3748 5646\n7666 11547\n14055 21152\n12090 18191\n97559 100000\n29785 44626\n11900 17908\n36119 54072\n99723 100000\n44933 67278\n22352 33574\n59025 88466\n60564 90802\n7416 11171\n70765 100000\n21493 32280\n87773 100000\n76358 100000\n6997 10566\n7629 11495\n31993 47931\n62824 94221\n33506 50200\n99080 100000\n84367 100000\n67363 100000\n85622 100000\n88907 100000\n72156 100000\n54689 81931\n47687 71400\n8694 13079\n80860 100000\n80657 100000\n7243 10917\n77396 100000\n51064 76505\n54819 82122\n15973 23990\n5341 8060\n82924 100000\n43322 64867\n17020 25549\n46471 69575\n85457 100000\n62624 93921\n29721 44529\n78036 100000\n44636 66825\n9715 14608\n80250 100000\n78871 100000\n72002 100000\n21234 31890\n92319 100000\n66016 99020\n45117 67547\n77702 100000\n3344 5058\n77836 100000\n39290 58808\n35591 53289\n96745 100000\n49273 73816\n23790 35708\n52026 77924\n77173 100000\n53439 80042\n19749 29663\n62015 93004\n91209 100000\n82986 100000\n87049 100000\n54719 81972\n58449 87602\n25369 38054\n44569 66718\n74734 100000\n20042 30108\n33064 49534\n88582 100000\n56366 84456\n62643 93949\n77344 100000\n35600 53300\n14793 22254\n21563 32385\n92223 100000\n86619 100000\n61346 91972\n56799 85119\n15681 23565\n48966 73353\n24868 37307\n48409 72507\n75535 100000\n78176 100000\n1080 1619\n64256 96382\n48920 73287\n28862 43264\n17883 26849\n55940 83811\n91534 100000\n16100 24178\n38864 58179\n8105 12202\n41588 62279\n8015 12072\n4325 6526\n47367 70928\n14026 21109\n28744 43089\n85404 100000\n31127 46630\n33075 49548\n86286 100000\n1338 1999\n56915 85290\n43844 65632\n87326 100000\n37203 55698\n4961 7493\n68334 100000\n46852 70136\n14326 21560\n73625 100000\n88590 100000\n94309 100000\n22732 34135\n71200 100000\n3462 5225\n3333 5041\n95819 100000\n86825 100000\n50439 75561\n84851 100000\n28970 43426\n99048 100000\n11760 17711\n69104 100000\n37196 55690\n37244 55765\n53537 80188\n34830 52158\n68245 100000\n91630 100000\n8371 12598\n39601 59263\n34420 51566\n98506 100000\n41093 61532\n80859 100000\n50396 75502\n29654 44433\n26746 40100\n61039 91508\n72782 100000\n56828 85166\n11559 17408\n67830 100000\n89964 100000\n64368 96547\n33446 50107\n26665 39976\n3035 4602\n27385 41062\n931 1391\n28482 42701\n12985 19547\n34000 50936\n86834 100000\n33499 50189\n13211 19885\n67982 100000\n79017 100000\n96532 100000\n88228 100000\n26483 39724\n30524 45740\n27738 41581\n7873 11855\n37802 56592\n76069 100000\n58811 88147\n92685 100000\n9028 13572\n18785 28201\n52641 78848\n76120 100000\n96950 100000\n55180 82657\n30214 45270\n46951 70285\n96434 100000\n7380 11118\n35974 53855\n51758 77537\n36021 53927\n43999 65853\n45274 67780\n68290 100000\n48519 72670\n33841 50699\n79163 100000\n73558 100000\n64827 97242\n87701 100000\n30635 45914\n9968 14995\n93079 100000\n72739 100000\n22799 34234\n23316 35001\n9996 15037\n52638 78844\n40580 60758\n25148 37724\n10132 15248\n65238 97870\n91058 100000\n76136 100000\n61145 91672\n48359 72428\n59217 88759\n12863 19361\n46803 70071\n83196 100000\n89041 100000\n3608 5439\n80133 100000\n86369 100000\n98964 100000\n82521 100000\n36269 54305\n44071 65962\n15833 23788\n10698 16104\n86801 100000\n49618 74343\n55495 83140\n51327 76903\n49312 73874\n85115 100000\n80582 100000\n46669 69875\n91252 100000\n13681 20590\n99270 100000\n71376 100000\n40902 61250\n23867 35815\n50900 76258\n60052 90036\n36242 54265\n48016 71901\n5996 9060\n64075 96106\n2021 3048\n43732 65471\n715 1069\n38629 57819\n91133 100000\n39455 59054\n70330 100000\n73177 100000\n40959 61331\n84688 100000\n43896 65710\n28434 42631\n46619 69803\n96163 100000\n16111 24192\n52204 78190\n36629 54851\n27186 40755\n15454 23234\n93599 100000\n95277 100000\n73559 100000\n9673 14546\n44265 66262\n44916 67255\n48857 73193\n29686 44474\n28799 43166\n50944 76328\n55254 82769\n17622 26458\n28719 43051\n51276 76827\n98504 100000\n42485 63628\n14918 22443\n24835 37254\n95543 100000\n86514 100000\n84440 100000\n92822 100000\n72816 100000\n87103 100000\n22623 33975\n92936 100000\n30272 45362\n25755 38639\n97687 100000\n57243 85776\n51167 76663\n42533 63697\n71566 100000\n5328 8041\n23730 35621\n45958 68803\n17552 26353\n59317 88919\n68181 100000\n38714 57941\n29613 44379\n38955 58310\n71118 100000\n21673 32552\n88682 100000\n80459 100000\n69259 100000\n1372 2051\n5143 7766\n78374 100000\n30159 45185\n68081 100000\n17151 25745\n88462 100000\n91956 100000\n95176 100000\n40146 60106\n22140 33255\n44350 66390\n79770 100000\n94891 100000\n85312 100000\n1840 2775\n17103 25669\n26084 39129\n73568 100000\n81604 100000\n86353 100000\n15486 23278\n67540 100000\n7849 11818\n31511 47204\n99983 100000\n93497 100000\n68788 100000\n35330 52889\n47238 70733\n61439 92115\n19085 28667\n11160 16816\n68690 100000\n34150 51168\n13311 20038\n36639 54869\n10372 15609\n34214 51265\n53720 80466\n52367 78435\n25460 38196\n1505 2250\n42874 64198\n79893 100000\n12941 19483\n79407 100000\n92866 100000\n2247 3400\n5952 8996\n81979 100000\n9526 14324\n97198 100000\n54086 81032\n74830 100000\n46562 69723\n81378 100000\n15641 23503\n19506 29309\n55405 83004\n78288 100000\n34277 51357\n28233 42337\n41675 62412\n88688 100000\n96263 100000\n18726 28108\n25832 38761\n30054 45030\n49714 74487\n4887 7382\n36431 54560\n13480 20286\n11503 17324\n36636 54863\n68140 100000\n72374 100000\n36416 54533\n88836 100000\n20282 30471\n9752 14665\n15757 23679\n71153 100000\n97042 100000\n85084 100000\n16610 24934\n68985 100000\n74762 100000\n23757 35661\n23366 35077\n44560 66704\n34241 51304\n16225 24368\n70108 100000\n14587 21939\n79751 100000\n82064 100000\n58560 87763\n30675 45978\n7467 11252\n22121 33227\n78865 100000\n31803 47645\n11096 16717\n96749 100000\n63679 95507\n46068 68963\n66166 99245\n80485 100000\n35003 52409\n87862 100000\n60347 90472\n56137 84113\n45638 68323\n27177 40740\n17317 25994\n44450 66537\n77059 100000\n36271 54307\n82858 100000\n30567 45808\n57384 85992\n46971 70316\n50595 75804\n49825 74657\n54664 81892\n81005 100000\n63386 95054\n97233 100000\n65989 98980\n57729 86528\n56547 84732\n66001 98999\n46627 69814\n99580 100000\n49952 74847\n26038 39062\n19441 29213\n849 1264\n22747 34161\n84523 100000\n92127 100000\n86553 100000\n30430 45604\n10840 16324\n19696 29586\n22402 33652\n2942 4454\n1543 2308\n18621 27953\n55244 82753\n20107 30207\n12075 18170\n81475 100000\n93666 100000\n20247 30423\n81755 100000\n83106 100000\n83523 100000\n83151 100000\n77268 100000\n27499 41231\n87680 100000\n31115 46609\n21312 32002\n32828 49181\n36544 54725\n24994 37495\n25135 37706\n27289 40912\n84425 100000\n14273 21478\n50689 75946\n37010 55408\n40287 60311\n12615 18994\n76662 100000\n38039 56944\n38661 57862\n91008 100000\n29273 43867\n85100 100000\n29565 44304\n68949 100000\n47803 71573\n97882 100000\n42943 64302\n43627 65317\n75392 100000\n64391 96580\n87192 100000\n85282 100000\n34682 51935\n83515 100000\n3127 4734\n92507 100000\n64278 96414\n81310 100000\n41018 61421\n26182 39282\n71663 100000\n76608 100000\n87274 100000\n5885 8893\n65409 98119\n90289 100000\n87267 100000\n61802 92669\n10675 16069\n60527 90749\n9308 13998\n24346 36539\n17194 25806\n40453 60566\n37581 56256\n23380 35096\n91127 100000\n76323 100000\n52098 78031\n41383 61968\n30631 45907\n95219 100000\n34166 51193\n4256 6427\n19915 29923\n49240 73768\n50833 76160\n4604 6952\n24402 36621\n83775 100000\n64264 96392\n27070 40582\n4881 7375\n79890 100000\n12099 18204\n4378 6606\n91846 100000\n91433 100000\n3013 4565\n25124 37691\n53112 79555\n54647 81865\n78535 100000\n63888 95829\n22567 33893\n81124 100000\n77235 100000\n76927 100000\n77063 100000\n6539 9872\n80214 100000\n85101 100000\n82684 100000\n40994 61387\n41102 61545\n86152 100000\n56372 84464\n41597 62293\n13536 20368\n63580 95352\n83473 100000\n91134 100000\n64417 96623\n1578 2366\n1516 2269\n20140 30253\n75618 100000\n85425 100000\n10663 16048\n36450 54588\n66426 99625\n20794 31241\n45433 68017\n60506 90720\n96378 100000\n62044 93044\n95400 100000\n54711 81959\n19307 29011\n55073 82494\n31912 47810\n69493 100000\n10131 15246\n9007 13544\n33879 50755\n47969 71829\n55526 83184\n89524 100000\n80984 100000\n59355 88977\n54971 82341\n21105 31704\n24339 36527\n28271 42392\n95251 100000\n82810 100000\n69495 100000\n33392 50028\n15748 23667\n64587 96875\n21698 32587\n20740 31164\n56499 84657\n37360 55928\n67400 100000\n64018 96014\n28286 42413\n54413 81512\n12451 18744\n6562 9904\n4191 6329\n78943 100000\n72734 100000\n24419 36651\n22230 33396\n21281 31957\n50582 75785\n2920 4421\n56974 85382\n3507 5294\n76535 100000\n88244 100000\n54229 81238\n75633 100000\n68800 100000\n2260 3421\n4366 6587\n80976 100000\n18374 27586\n51391 77000\n93621 100000\n52335 78391\n53210 79694\n12097 18202\n71746 100000\n27663 41474\n43125 64573\n93702 100000\n41613 62316\n70308 100000\n93753 100000\n89535 100000\n65133 97708\n92782 100000\n76460 100000\n25251 37877\n80073 100000\n75168 100000\n2690 4075\n8316 12517\n88119 100000\n38612 57798\n6070 9162\n12379 18636\n66971 100000\n45832 68614\n54959 82324\n7296 10991\n2188 3310\n83974 100000\n6882 10395\n54516 81672\n57455 86101\n19620 29480\n84121 100000\n56026 83942\n59845 89725\n64914 97375\n58006 86940\n19651 29524\n71215 100000\n2332 3527\n82201 100000\n34099 51093\n11338 17087\n56108 84071\n19519 29331\n15878 23854\n2530 3834\n88594 100000\n82339 100000\n43479 65096\n19166 28797\n8625 12977\n33113 49605\n75811 100000\n28512 42746\n59554 89285\n34353 51467\n36175 54160\n76484 100000\n43649 65349\n59820 89686\n23767 35673\n24052 36092\n14392 21657\n92849 100000\n10846 16331\n46569 69734\n85576 100000\n54387 81473\n21564 32386\n18123 27213\n98918 100000\n19353 29082\n77626 100000\n25387 38081\n9154 13765\n3212 4858\n35656 53384\n39507 59124\n75451 100000\n49592 74303\n63826 95736\n47578 71237\n71865 100000\n52895 79231\n83221 100000\n6807 10284\n71974 100000\n61743 92579\n8575 12902\n65803 98703\n47252 70754\n93177 100000\n11909 17922\n4239 6401\n54133 81094\n28394 42571\n90641 100000\n80903 100000\n98854 100000\n55104 82548\n95868 100000\n95308 100000\n19275 28964\n93749 100000\n16730 25106\n36447 54585\n75283 100000\n80430 100000\n70597 100000\n28917 43346\n16987 25500\n35640 53358\n6453 9735\n87065 100000\n40268 60286\n1620 2426\n98798 100000\n19842 29808\n93743 100000\n34514 51702\n23691 35564\n33397 50035\n58245 87296\n57564 86277\n84613 100000\n13665 20566\n66290 99431\n91475 100000\n26593 39880\n60997 91442\n24048 36086\n82096 100000\n52472 78602\n88769 100000\n72457 100000\n2796 4226\n80059 100000\n11561 17412\n1043 1566\n54615 81816\n68157 100000\n41595 62289\n17010 25535\n24986 37481\n95263 100000\n84097 100000\n24892 37345\n83637 100000\n42914 64260\n71080 100000\n14390 21654\n33059 49526\n57089 85551\n93840 100000\n62081 93098\n51634 77355\n79375 100000\n89153 100000\n64410 96610\n91156 100000\n91529 100000\n79012 100000\n76835 100000\n95955 100000\n10248 15421\n48534 72692\n24855 37287\n20393 30644\n75942 100000\n36878 55215\n65470 98207\n2969 4498\n85411 100000\n27431 41131\n59032 88477\n50395 75501\n83982 100000\n19824 29778\n7786 11724\n86010 100000\n28773 43130\n29053 43551\n30593 45851\n89949 100000\n85977 100000\n31248 46820\n47502 71125\n9728 14627\n97761 100000\n58572 87783\n69661 100000\n77155 100000\n85815 100000\n9193 13827\n51570 77267\n96671 100000\n27419 41112\n19347 29074\n72041 100000\n93308 100000\n44649 66845\n70422 100000\n53696 80428\n84655 100000\n9437 14192\n36954 55322\n33811 50650\n269 403\n23798 35718\n30165 45196\n81337 100000\n12905 19425\n39707 59426\n36789 55087\n30840 46212\n32192 48218\n94459 100000\n42879 64206\n37017 55417\n48098 72025\n44903 67232\n62029 93023\n3633 5478\n31416 47065\n82910 100000\n26670 39986\n34917 52284\n22203 33355\n67548 100000\n38518 57667\n31464 47134\n27544 41296\n59310 88907\n78760 100000\n92482 100000\n11079 16688\n51775 77560\n60320 90434\n97421 100000\n39383 58949\n67559 100000\n79400 100000\n31162 46684\n63625 95422\n60781 91129\n81239 100000\n21373 32098\n30880 46269\n21361 32081\n76059 100000\n34308 51404\n21704 32596\n98280 100000\n48228 72226\n31014 46465\n5998 9063\n21344 32050\n74336 100000\n32064 48029\n77990 100000\n27283 40901\n12056 18143\n32405 48527\n67802 100000\n85452 100000\n32069 48037\n29207 43764\n65074 97618\n46617 69801\n60955 91377\n66825 100000\n95215 100000\n75353 100000\n24427 36663\n85179 100000\n34304 51397\n18001 27024\n92378 100000\n2409 3653\n72929 100000\n81456 100000\n34824 52151\n9535 14337\n17667 26533\n12714 19137\n94883 100000\n1919 2901\n74596 100000\n97727 100000\n53451 80062\n71067 100000\n95773 100000\n91085 100000\n71265 100000\n97366 100000\n81743 100000\n39158 58617\n92643 100000\n3664 5517\n96860 100000\n2561 3882\n22667 34039\n13114 19736\n33555 50269\n1361 2035\n10844 16329\n83576 100000\n33108 49597\n58622 87855\n58925 88316\n20013 30070\n98528 100000\n16265 24431\n17806 26731\n98186 100000\n59393 89038\n69042 100000\n21079 31663\n26923 40360\n7720 11628\n53718 80463\n99757 100000\n32359 48465\n30779 46123\n71208 100000\n74619 100000\n98906 100000\n19357 29088\n65408 98118\n76451 100000\n83451 100000\n90507 100000\n50621 75842\n75400 100000\n15390 23143\n86263 100000\n85485 100000\n10473 15759\n53901 80742\n34901 52262\n21268 31939\n25261 37892\n3733 5620\n51182 76688\n12124 18242\n15079 22680\n67330 100000\n33643 50412\n76147 100000\n99122 100000\n60515 90733\n2848 4308\n81775 100000\n84758 100000\n13527 20353\n61968 92933\n33929 50828\n25892 38850\n15745 23662\n74331 100000\n85214 100000\n41222 61732\n52553 78727\n5069 7657\n96506 100000\n71166 100000\n54401 81494\n83440 100000\n9651 14511\n42837 64147\n43951 65785\n93190 100000\n90634 100000\n69210 100000\n42857 64173\n22970 34490\n78249 100000\n71948 100000\n3894 5863\n37554 56216\n45242 67731\n48560 72735\n10134 15250\n4159 6277\n73855 100000\n77212 100000\n30109 45109\n40422 60518\n6180 9327\n17351 26048\n77789 100000\n72197 100000\n85965 100000\n64227 96338\n41103 61546\n3356 5074\n87293 100000\n79957 100000\n23473 35235\n64974 97467\n5699 8595\n16139 24236\n58060 87026\n94813 100000\n28697 43021\n35008 52418\n88539 100000\n76489 100000\n72610 100000\n40480 60608\n77196 100000\n42799 64089\n90699 100000\n79740 100000\n21103 31701\n6840 10333\n35789 53572\n66958 100000\n55696 83442\n65233 97863\n39756 59499\n437 653\n3800 5726\n66655 99982\n97634 100000\n41143 61608\n18597 27914\n71732 100000\n15636 23497\n68124 100000\n47618 71297\n95181 100000\n16036 24081\n67357 100000\n36034 53947\n92609 100000\n49086 73534\n86062 100000\n36560 54751\n26101 39157\n44651 66849\n57963 86876\n44208 66175\n36610 54823\n34189 51226\n88809 100000\n91942 100000\n16505 24786\n59895 89802\n40895 61237\n40469 60592\n39541 59175\n16232 24379\n10891 16399\n52308 78350\n95397 100000\n75122 100000\n46994 70353\n30714 46030\n2636 3995\n10036 15097\n26600 39890\n66245 99363\n37622 56319\n46651 69849\n10251 15427\n89251 100000\n53225 79715\n91657 100000\n78758 100000\n74276 100000\n27345 40999\n99697 100000\n86177 100000\n23715 35601\n13141 19780\n40094 60028\n32729 49026\n56786 85098\n19509 29315\n61814 92686\n67340 100000\n33215 49761\n9521 14318\n80869 100000\n62740 94101\n15968 23982\n18481 27744\n4912 7419\n74380 100000\n70455 100000\n36935 55297\n13078 19683\n28998 43466\n71546 100000\n29605 44366\n88761 100000\n32991 49422\n77144 100000\n988 1481\n34477 51648\n51799 77597\n21481 32261\n14939 22476\n28347 42499\n45101 67526\n7529 11349\n73473 100000\n98683 100000\n37817 56613\n26787 40161\n90364 100000\n84510 100000\n74846 100000\n26169 39262\n6328 9547\n77061 100000\n6124 9245\n28515 42751\n24300 36464\n24799 37201\n44278 66281\n51612 77325\n83105 100000\n53308 79846\n14360 21610\n60331 90449\n38283 57308\n94417 100000\n71883 100000\n40930 61292\n45468 68070\n53357 79919\n51888 77724\n74997 100000\n18098 27174\n25515 38276\n62550 93811\n4060 6127\n59846 89727\n15887 23868\n91305 100000\n96829 100000\n90356 100000\n64991 97491\n36607 54818\n41426 62037\n93935 100000\n69860 100000\n58052 87011\n7698 11594\n54772 82055\n52667 78887\n77887 100000\n94380 100000\n99405 100000\n21158 31779\n29801 44653\n62887 94320\n82227 100000\n29379 44025\n56852 85200\n16950 25444\n44593 66753\n73640 100000\n62216 93302\n52668 78888\n81089 100000\n97815 100000\n25773 38670\n11053 16651\n63864 95795\n86147 100000\n47834 71622\n15816 23767\n18495 27765\n67648 100000\n18073 27134\n53157 79617\n33347 49958\n30387 45536\n73644 100000\n3288 4972\n68087 100000\n68537 100000\n33246 49807\n35845 53657\n35129 52592\n45541 68177\n88526 100000\n63402 95076\n92529 100000\n24846 37270\n95483 100000\n10304 15504\n17643 26494\n75684 100000\n16567 24877\n16066 24127\n46806 70074\n11613 17487\n14295 21510\n36670 54917\n74399 100000\n3590 5415\n59388 89031\n53400 79987\n72285 100000\n96240 100000\n98221 100000\n78741 100000\n97597 100000\n67115 100000\n81968 100000\n46448 69539\n23447 35195\n16074 24139\n25753 38635\n73554 100000\n26947 40396\n66441 99650\n22803 34240\n4460 6729\n41125 61579\n76973 100000\n61353 91982\n23356 35061\n28785 43148\n81584 100000\n78649 100000\n1325 1979\n28920 43351\n32549 48746\n24991 37489\n86847 100000\n95920 100000\n63007 94493\n58949 88349\n41144 61610\n21091 31680\n57412 86038\n24312 36484\n93384 100000\n81737 100000\n19520 29332\n21850 32817\n99357 100000\n51454 77097\n44528 66656\n97847 100000\n48289 72317\n29451 44133\n46876 70171\n80756 100000\n32194 48221\n29679 44465\n86900 100000\n19299 28998\n51535 77217\n82733 100000\n28971 43428\n63052 94558\n82663 100000\n90015 100000\n93968 100000\n57818 86655\n54969 82339\n7950 11974\n92934 100000\n5169 7806\n9789 14722\n74355 100000\n80687 100000\n24459 36712\n56319 84384\n87671 100000\n3534 5335\n2013 3035\n9061 13616\n46611 69793\n21719 32616\n61563 92311\n70565 100000\n30195 45240\n33462 50131\n58414 87553\n95297 100000\n28563 42824\n35170 52649\n35944 53806\n91606 100000\n15542 23361\n14901 22418\n80127 100000\n70163 100000\n52339 78397\n1603 2401\n95969 100000\n1018 1526\n96664 100000\n801 1200\n51672 77409\n87733 100000\n66114 99169\n56434 84561\n9939 14950\n70468 100000\n12713 19135\n31241 46810\n7371 11105\n60410 90570\n33863 50729\n18619 27950\n33088 49569\n66249 99370\n3856 5811\n37233 55747\n66370 99550\n78582 100000\n24082 36136\n86113 100000\n64545 96812\n85240 100000\n30201 45250\n13566 20416\n21692 32578\n46307 69332\n49443 74087\n55840 83659\n76994 100000\n98485 100000\n75745 100000\n91484 100000\n4295 6484\n18888 28366\n58100 87083\n72468 100000\n89424 100000\n24303 36469\n80671 100000\n12752 19193\n22587 33923\n33937 50840\n25669 38509\n80107 100000\n84640 100000\n22245 33417\n55547 83216\n46939 70264\n41285 61825\n91486 100000\n28093 42126\n87101 100000\n61413 92076\n45803 68571\n67323 100000\n75860 100000\n12621 19002\n9748 14660\n52611 78806\n34157 51179\n34271 51349\n6922 10454\n42727 63983\n64083 96117\n33954 50869\n52684 78910\n4241 6404\n2035 3072\n18610 27935\n19941 29964\n19515 29325\n60559 90795\n7039 10620\n87569 100000\n59961 89902\n89957 100000\n67051 100000\n16338 24533\n43243 64751\n33667 50449\n85730 100000\n1608 2406\n44189 66145\n87776 100000\n13546 20384\n91847 100000\n91722 100000\n21140 31755\n67736 100000\n71612 100000\n47294 70813\n2002 3022\n36782 55079\n45887 68698\n61184 91732\n71653 100000\n14391 21655\n56860 85210\n52015 77907\n612 916\n74428 100000\n20859 31341\n99616 100000\n70815 100000\n89147 100000\n92636 100000\n97077 100000\n91766 100000\n58820 88160\n78603 100000\n95021 100000\n86734 100000\n98491 100000\n23297 34974\n77119 100000\n7324 11035\n22425 33684\n54172 81154\n97123 100000\n31509 47201\n46485 69596\n46373 69427\n3363 5082\n31135 46643\n36626 54847\n27983 41947\n4238 6399\n90223 100000\n55781 83570\n56705 84977\n14907 22426\n47715 71437\n34579 51789\n50403 75510\n1407 2101\n93985 100000\n62327 93468\n58340 87441\n66567 99851\n5692 8583\n28380 42551\n24244 36377\n23791 35709\n33922 50820\n71392 100000\n55729 83494\n55803 83601\n77553 100000\n78307 100000\n77459 100000\n45922 68750\n53111 79554\n92202 100000\n85069 100000\n58710 87992\n84614 100000\n12114 18228\n89745 100000\n78784 100000\n11878 17881\n46645 69839\n65394 98097\n46460 69558\n18624 27958\n1243 1862\n56903 85273\n72524 100000\n74925 100000\n26178 39276\n51708 77462\n4 6\n48912 73277\n20637 31002\n84391 100000\n89984 100000\n44156 66095\n34225 51283\n19355 29084\n35463 53089\n39634 59311\n13626 20508\n15102 22715\n55629 83343\n23036 34592\n64575 96859\n18255 27407\n82765 100000\n53509 80145\n70310 100000\n48227 72224\n51390 76998\n55942 83814\n68238 100000\n75558 100000\n68041 100000\n75032 100000\n29290 43894\n24350 36545\n74926 100000\n1716 2577\n15563 23393\n20248 30424\n4882 7376\n44180 66130\n30042 45012\n62767 94139\n31753 47571\n11401 17175\n21384 32115\n73818 100000\n12643 19035\n84794 100000\n79281 100000\n49993 74909\n73709 100000\n76933 100000\n5790 8740\n80635 100000\n78354 100000\n50739 76020\n87893 100000\n50339 75420\n83228 100000\n83648 100000\n27305 40935\n80102 100000\n4983 7524\n51991 77871\n18562 27865\n68833 100000\n85981 100000\n56958 85356\n50460 75592\n77827 100000\n2396 3632\n1226 1835\n55108 82552\n871 1295\n12735 19169\n65177 97780\n57904 86788\n83356 100000\n31624 47377\n7792 11733\n70228 100000\n79855 100000\n38947 58299\n45 64\n22648 34010\n76955 100000\n80766 100000\n96701 100000\n6393 9644\n47341 70885\n96436 100000\n13937 20964\n47337 70879\n77863 100000\n88064 100000\n38052 56964\n25570 38358\n38638 57829\n30933 46347\n6753 10200\n97735 100000\n62104 93134\n23832 35766\n11750 17698\n56640 84880\n52409 78498\n85285 100000\n56854 85202\n12118 18233\n93751 100000\n69643 100000\n62061 93066\n34783 52094\n28469 42682\n58934 88329\n8713 13104\n72301 100000\n29529 44244\n22827 34278\n85114 100000\n65921 98885\n82109 100000\n63133 94684\n81068 100000\n18438 27678\n79140 100000\n24531 36811\n37630 56329\n86446 100000\n97980 100000\n90619 100000\n43883 65688\n9742 14648\n10244 15415\n47453 71052\n1727 2595\n34802 52119\n54204 81201\n71956 100000\n67426 100000\n78068 100000\n90966 100000\n84 124\n68178 100000\n54190 81180\n39231 58723\n8025 12085\n40570 60743\n36859 55186\n52461 78585\n32563 48769\n40318 60358\n56009 83919\n10285 15478\n66821 100000\n43833 65614\n68457 100000\n79083 100000\n86792 100000\n48628 72840\n71463 100000\n48806 73117\n57618 86359\n57827 86667\n87835 100000\n81946 100000\n45636 68321\n54958 82323\n50497 75652\n35939 53799\n10557 15886\n65327 98002\n93323 100000\n63056 94563\n8246 12411\n29747 44570\n25803 38715\n11080 16689\n40396 60478\n344 516\n54950 82314\n50732 76010\n29744 44566\n87051 100000\n17408 26137\n16497 24775\n86066 100000\n45445 68035\n58430 87575\n32498 48667\n63626 95423\n3201 4845\n7242 10916\n57108 85579\n22497 33793\n95191 100000\n15726 23633\n23669 35530\n26132 39203\n11272 16987\n48644 72864\n30341 45467\n99939 100000\n56387 84489\n54136 81100\n45533 68167\n17849 26800\n60985 91426\n36845 55165\n66528 99791\n64875 97315\n68994 100000\n64080 96113\n909 1354\n7395 11140\n95185 100000\n91114 100000\n63909 95860\n46361 69410\n23283 34953\n32757 49070\n48781 73077\n8586 12920\n71564 100000\n31045 46504\n41996 62887\n47354 70907\n65303 97967\n44249 66240\n64746 97112\n19935 29955\n22578 33908\n71156 100000\n8814 13259\n60542 90772\n52119 78061\n49782 74589\n83699 100000\n56524 84695\n29308 43922\n25407 38111\n89920 100000\n58494 87667\n32933 49341\n44879 67197\n1150 1724\n51260 76803\n34364 51484\n77189 100000\n60905 91306\n7771 11702\n66492 99737\n51061 76500\n88430 100000\n72180 100000\n61584 92343\n34757 52051\n11280 16999\n60187 90232\n37500 56137\n42094 63039\n51798 77595\n14508 21822\n62080 93096\n33004 49442\n66710 100000\n63714 95559\n87439 100000\n37219 55722\n62492 93724\n90705 100000\n18205 27333\n75314 100000\n97248 100000\n19521 29333\n79948 100000\n75892 100000\n44110 66021\n74723 100000\n71374 100000\n59001 88428\n93470 100000\n3777 5691\n17945 26941\n90151 100000\n47516 71146\n456 682\n40255 60266\n1693 2543\n69803 100000\n95450 100000\n19900 29899\n95776 100000\n60256 90336\n2444 3710\n72423 100000\n29682 44469\n22938 34445\n35671 53403\n80208 100000\n62678 94003\n9436 14190\n87809 100000\n87435 100000\n91064 100000\n97114 100000\n27330 40975\n45471 68074\n73792 100000\n16669 25016\n60466 90658\n81416 100000\n83167 100000\n49707 74474\n18655 28004\n69660 100000\n80464 100000\n8516 12811\n69646 100000\n70586 100000\n3113 4713\n12538 18878\n64687 97022\n86688 100000\n51489 77147\n75418 100000\n14097 21226\n9938 14949\n16469 24730\n25207 37812\n76449 100000\n67803 100000\n3829 5769\n6188 9340\n10443 15715\n20094 30188\n48955 73334\n22407 33660\n3105 4701\n8452 12714\n88174 100000\n49585 74291\n44563 66708\n39718 59440\n96132 100000\n41035 61446\n73920 100000\n99263 100000\n41559 62236\n49481 74142\n89111 100000\n9741 14647\n68390 100000\n90412 100000\n45965 68815\n68246 100000\n77170 100000\n91571 100000\n50261 75302\n80159 100000\n8236 12395\n50467 75603\n69971 100000\n53046 79456\n22532 33841\n37856 56664\n53222 79710\n96320 100000\n85823 100000\n37118 55571\n41761 62541\n1866 2816\n15101 22714\n88121 100000\n22250 33425\n26556 39827\n75668 100000\n27480 41204\n17315 25991\n36478 54629\n37374 55949\n72566 100000\n34524 51716\n60395 90548\n38550 57708\n86472 100000\n79577 100000\n47255 70757\n22814 34257\n39913 59751\n84070 100000\n35543 53216\n40021 59914\n54046 80968\n26765 40129\n74481 100000\n33055 49520\n43530 65169\n6674 10074\n11757 17707\n65595 98388\n70896 100000\n95638 100000\n59473 89160\n36344 54422\n21714 32610\n32920 49323\n27728 41567\n75788 100000\n44521 66644\n83816 100000\n96499 100000\n41614 62318\n24445 36691\n11555 17402\n23915 35886\n11640 17530\n99624 100000\n91897 100000\n82275 100000\n46714 69946\n78601 100000\n64626 96933\n74096 100000\n17460 26215\n96651 100000\n99726 100000\n81387 100000\n68205 100000\n21609 32455\n15190 22845\n72726 100000\n54978 82351\n49755 74548\n56979 85389\n6272 9460\n54635 81846\n26142 39217\n39937 59788\n33766 50585\n4871 7361\n51016 76434\n17828 26766\n23121 34716\n22558 33882\n83853 100000\n57735 86536\n36159 54135\n92908 100000\n77587 100000\n51164 76660\n69145 100000\n59187 88711\n65688 98524\n52884 79214\n75305 100000\n71665 100000\n24091 36151\n61321 91936\n45838 68623\n39251 58754\n30780 46124\n16811 25237\n63534 95283\n13613 20487\n17830 26770\n60366 90503\n30334 45457\n51717 77476\n70411 100000\n48582 72765\n47108 70527\n12302 18517\n95631 100000\n81061 100000\n22914 34407\n94812 100000\n74735 100000\n63352 95004\n61401 92058\n89220 100000\n97414 100000\n69758 100000\n59951 89886\n90583 100000\n50877 76221\n62395 93569\n68995 100000\n38060 56976\n48314 72357\n34838 52170\n63048 94552\n80347 100000\n8801 13241\n37492 56127\n83978 100000\n35247 52765\n76122 100000\n11231 16927\n89488 100000\n51374 76975\n57875 86742\n51868 77694\n12131 18252\n14452 21740\n25356 38036\n43085 64514\n91914 100000\n44613 66788\n93995 100000\n86135 100000\n10887 16392\n76591 100000\n874 1298\n40184 60164\n44940 67287\n57954 86864\n76241 100000\n66701 100000\n75416 100000\n13813 20775\n90397 100000\n79583 100000\n32594 48816\n32306 48387\n89453 100000\n65517 98277\n67322 100000\n54484 81622\n17332 26018\n25545 38318\n8900 13386\n30378 45519\n65209 97828\n57550 86255\n67448 100000\n33977 50905\n70624 100000\n50254 75291\n48546 72712\n55775 83561\n1130 1695\n27714 41548\n83461 100000\n56725 85007\n13720 20645\n24988 37484\n52832 79139\n95544 100000\n88213 100000\n24913 37373\n9120 13709\n83914 100000\n26053 39085\n68954 100000\n96387 100000\n25117 37682\n60903 91302\n19780 29710\n56884 85247\n90690 100000\n27372 41042\n58526 87716\n61502 92214\n13056 19654\n5981 9040\n43407 64993\n80342 100000\n82340 100000\n38233 57233\n50977 76375\n94382 100000\n92292 100000\n60797 91150\n13399 20172\n484 722\n45397 67961\n22475 33760\n25380 38069\n12867 19369\n59133 88632\n53858 80678\n71357 100000\n88003 100000\n28369 42534\n14592 21946\n69487 100000\n3901 5874\n21557 32376\n90873 100000\n46973 70320\n48876 73223\n33833 50684\n48634 72851\n27352 41011\n96770 100000\n45748 68486\n37744 56500\n29064 43566\n76671 100000\n2564 3886\n39658 59349\n84760 100000\n99804 100000\n47608 71281\n89307 100000\n14322 21556\n31134 46642\n33418 50068\n74400 100000\n92407 100000\n92058 100000\n99825 100000\n27767 41627\n59095 88573\n15964 23977\n28450 42655\n63118 94659\n29804 44658\n75176 100000\n92905 100000\n2943 4456\n76541 100000\n98652 100000\n70401 100000\n51602 77309\n35431 53045\n48378 72458\n53427 80024\n20360 30588\n92056 100000\n39979 59848\n63797 95688\n37853 56661\n15331 23053\n65251 97889\n87138 100000\n44197 66156\n51932 77785\n26892 40317\n86750 100000\n54616 81818\n81705 100000\n87622 100000\n22456 33731\n78111 100000\n66919 100000\n10323 15534\n43654 65355\n64885 97331\n18084 27151\n24418 36649\n37043 55458\n60125 90139\n51476 77128\n84309 100000\n40595 60781\n1229 1841\n94827 100000\n72163 100000\n77026 100000\n56863 85215\n5521 8332\n15307 23012\n10738 16164\n56688 84952\n55837 83654\n69599 100000\n82602 100000\n86243 100000\n56675 84934\n46742 69984\n95198 100000\n80082 100000\n79898 100000\n57839 86685\n3015 4568\n7252 10931\n98354 100000\n86405 100000\n20699 31098\n17046 25587\n67043 100000\n55231 82735\n85909 100000\n61340 91962\n13143 19782\n21931 32937\n79321 100000\n70683 100000\n88595 100000\n77246 100000\n55623 83333\n40955 61326\n47408 70986\n56354 84439\n79410 100000\n59284 88868\n81520 100000\n34377 51506\n58824 88166\n8158 12275\n50430 75546\n22514 33817\n57220 85742\n6927 10461\n72972 100000\n3034 4601\n37976 56847\n80308 100000\n44798 67076\n58423 87565\n20531 30847\n87306 100000\n32908 49304\n66683 100000\n29410 44071\n4739 7157\n60033 90010\n15946 23952\n86094 100000\n47168 70620\n26427 39643\n54399 81490\n36312 54372\n39531 59159\n13617 20494\n15650 23517\n88263 100000\n84356 100000\n72901 100000\n52886 79217\n95080 100000\n3385 5116\n78815 100000\n94178 100000\n61052 91528\n36359 54444\n86059 100000\n94102 100000\n10850 16336\n9549 14359\n16635 24968\n1119 1678\n86300 100000\n46355 69400\n95321 100000\n95629 100000\n82762 100000\n53893 80729\n63215 94803\n95050 100000\n30899 46297\n23268 34930\n34646 51885\n12595 18961\n62100 93128\n41499 62144\n72449 100000\n58278 87349\n34913 52280\n60285 90380\n5435 8202\n95512 100000\n39816 59601\n64463 96685\n28768 43123\n37693 56424\n16362 24568\n63388 95057\n93318 100000\n40284 60307\n29751 44576\n26414 39626\n68991 100000\n3237 4896\n93513 100000\n69235 100000\n38435 57542\n81221 100000\n44223 66198\n6129 9252\n6139 9267\n69347 100000\n48092 72017\n88571 100000\n10660 16043\n10900 16415\n90032 100000\n52395 78477\n27476 41198\n72350 100000\n56362 84449\n54119 81077\n91462 100000\n11772 17729\n18094 27167\n79312 100000\n72953 100000\n52276 78298\n85260 100000\n89256 100000\n90339 100000\n95779 100000\n69473 100000\n45283 67794\n7352 11076\n29534 44251\n51077 76525\n93871 100000\n44447 66532\n12308 18526\n66502 99751\n56971 85376\n82757 100000\n14004 21072\n66298 99443\n36102 54047\n52054 77966\n64732 97093\n30586 45839\n72319 100000\n96328 100000\n79691 100000\n67155 100000\n90400 100000\n71871 100000\n85056 100000\n39666 59360\n1060 1590\n18054 27106\n57491 86157\n35523 53181\n83689 100000\n99576 100000\n50910 76271\n49449 74096\n82121 100000\n24466 36723\n44888 67212\n16805 25229\n3039 4609\n86157 100000\n20321 30529\n75426 100000\n6770 10226\n2370 3591\n81304 100000\n64486 96721\n80549 100000\n97855 100000\n64630 96938\n66595 99893\n55601 83298\n6869 10377\n98968 100000\n78317 100000\n23190 34817\n26847 40248\n4730 7143\n58877 88246\n17310 25982\n76622 100000\n82566 100000\n90326 100000\n13212 19886\n76080 100000\n38161 57126\n70184 100000\n47596 71265\n63081 94601\n18787 28204\n34930 52304\n10476 15762\n74676 100000\n20204 30355\n23129 34729\n87495 100000\n25496 38246\n94491 100000\n1303 1949\n83973 100000\n20573 30911\n38169 57138\n6679 10082\n21424 32176\n79784 100000\n82722 100000\n88477 100000\n70222 100000\n40623 60826\n34103 51099\n78663 100000\n27605 41387\n5687 8577\n81466 100000\n6902 10428\n84994 100000\n64328 96490\n13113 19734\n81361 100000\n19873 29858\n32467 48622\n86112 100000\n52768 79037\n2681 4060\n54207 81204\n66885 100000\n4344 6557\n33800 50634\n63233 94827\n55743 83515\n87452 100000\n52301 78338\n93164 100000\n63834 95749\n64535 96798\n85313 100000\n90864 100000\n52046 77953\n6595 9956\n51082 76531\n61545 92282\n76422 100000\n98594 100000\n32348 48448\n28681 43000\n39349 58897\n76607 100000\n59716 89533\n31859 47730\n62254 93362\n56517 84686\n58874 88243\n25211 37818\n96420 100000\n84881 100000\n75635 100000\n9500 14285\n47005 70372\n17589 26407\n64021 96019\n63169 94732\n25072 37617\n33364 49983\n73997 100000\n9785 14716\n23318 35004\n29698 44492\n94784 100000\n50098 75061\n25411 38119\n68229 100000\n49212 73726\n38693 57911\n38346 57409\n33634 50397\n49488 74154\n96161 100000\n2638 3999\n2129 3218\n31971 47898\n71010 100000\n62149 93203\n68476 100000\n93553 100000\n88335 100000\n65274 97926\n10517 15823\n53519 80160\n55279 82807\n48070 71988\n46739 69979\n63710 95553\n78 115\n51563 77257\n15344 23074\n69865 100000\n48790 73093\n59307 88903\n97991 100000\n75771 100000\n38791 58060\n22586 33921\n5094 7697\n10659 16042\n88373 100000\n91430 100000\n74004 100000\n29370 44013\n7680 11566\n27090 40612\n34821 52147\n69634 100000\n21226 31878\n99515 100000\n1404 2096\n92146 100000\n6480 9778\n34151 51170\n27369 41039\n70503 100000\n50885 76233\n46997 70359\n97388 100000\n11674 17585\n95431 100000\n15024 22604\n96523 100000\n70869 100000\n13906 20921\n58670 87929\n18188 27306\n14218 21403\n48777 73071\n9052 13604\n61612 92381\n7724 11634\n44992 67361\n20990 31528\n81969 100000\n55528 83187\n88 131\n3919 5904\n24578 36883\n68228 100000\n71260 100000\n20229 30395\n86591 100000\n23887 35844\n4015 6052\n6381 9628\n18424 27656\n18741 28130\n88270 100000\n72189 100000\n33388 50021\n70951 100000\n92403 100000\n84871 100000\n38220 57214\n15554 23379\n1770 2664\n98432 100000\n48695 72943\n99625 100000\n43354 64916\n24945 37418\n90009 100000\n18268 27427\n88188 100000\n34738 52021\n86131 100000\n5977 9035\n40983 61370\n27909 41836\n91300 100000\n92881 100000\n55462 83092\n99906 100000\n82050 100000\n41467 62099\n58590 87807\n96929 100000\n6291 9487\n55301 82843\n55982 83874\n90826 100000\n63736 95592\n16003 24034\n38348 57412\n71115 100000\n20776 31216\n67870 100000\n5311 8015\n76070 100000\n28329 42473\n54474 81606\n12270 18469\n6582 9935\n28860 43261\n33730 50532\n12800 19266\n58013 86953\n74419 100000\n85024 100000\n67326 100000\n70496 100000\n23504 35284\n15986 24010\n61387 92034\n85634 100000\n61245 91825\n65460 98195\n56599 84815\n26468 39703\n63852 95775\n32752 49063\n99484 100000\n53293 79826\n37015 55415\n91007 100000\n49492 74161\n82572 100000\n69459 100000\n51506 77177\n64427 96637\n33689 50476\n6678 10081\n35220 52723\n63874 95808\n17924 26907\n12999 19568\n76968 100000\n40458 60573\n73885 100000\n68602 100000\n31250 46823\n6027 9103\n12925 19456\n57526 86216\n21899 32886\n48728 72996\n30066 45048\n62326 93467\n239 359\n35211 52708\n71635 100000\n15875 23849\n67172 100000\n15884 23863\n98522 100000\n43263 64783\n19444 29217\n79211 100000\n11622 17500\n38037 56941\n10013 15063\n44959 67315\n44137 66065\n87944 100000\n13257 19958\n50025 74956\n29846 44721\n33465 50135\n52533 78697\n79458 100000\n41178 61662\n65699 98541\n9991 15029\n4880 7373\n24734 37113\n21554 32373\n36506 54672\n11744 17689\n51895 77735\n59696 89503\n77410 100000\n86826 100000\n84807 100000\n19691 29578\n48858 73195\n72346 100000\n81926 100000\n25424 38141\n88478 100000\n36422 54545\n14243 21435\n38327 57380\n34208 51254\n5312 8017\n33592 50326\n53661 80374\n63998 95983\n55474 83106\n62246 93350\n26511 39761\n87171 100000\n37 53\n33358 49973\n49177 73676\n68048 100000\n22791 34224\n4831 7295\n77076 100000\n23763 35667\n41610 62313\n86284 100000\n48542 72706\n44513 66632\n3231 4888\n26392 39591\n45361 67907\n15806 23749\n16813 25240\n19759 29676\n64801 97201\n61822 92697\n73953 100000\n34230 51291\n1420 2122\n37706 56443\n21280 31955\n23545 35348\n33190 49721\n31255 46831\n21751 32663\n46659 69861\n54659 81883\n9735 14637\n96881 100000\n4734 7149\n65368 98059\n42398 63499\n4930 7446\n58071 87044\n54509 81661\n63799 95692\n78028 100000\n50573 75773\n16342 24539\n66782 100000\n94386 100000\n78240 100000\n75031 100000\n93302 100000\n85027 100000\n88897 100000\n9108 13689\n23537 35335\n22901 34389\n59272 88846\n8055 12132\n95797 100000\n73404 100000\n81615 100000\n24101 36166\n47693 71409\n15234 22907\n78385 100000\n28657 42962\n18956 28471\n17531 26323\n3683 5547\n56138 84115\n23812 35740\n27943 41889\n63345 94994\n32345 48444\n69764 100000\n77885 100000\n53672 80393\n45450 68041\n59168 88684\n81711 100000\n89697 100000\n3728 5613\n55189 82672\n62409 93596\n75260 100000\n67615 100000\n42251 63275\n88987 100000\n26027 39045\n23983 35992\n11141 16784\n2422 3675\n14984 22543\n4075 6149\n63266 94878\n21131 31740\n66410 99602\n77683 100000\n39533 59163\n57804 86636\n26439 39661\n49002 73407\n44108 66017\n88046 100000\n75146 100000\n31082 46561\n65616 98422\n32434 48572\n28247 42356\n89361 100000\n94903 100000\n55511 83162\n65779 98669\n68300 100000\n22006 33047\n60362 90497\n32003 47946\n90906 100000\n79961 100000\n18211 27342\n56619 84849\n18705 28079\n63259 94868\n47022 70398\n93310 100000\n62055 93059\n90960 100000\n46001 68867\n50004 74924\n22671 34043\n80138 100000\n82882 100000\n5863 8854\n70287 100000\n34451 51608\n34500 51682\n4742 7163\n23595 35421\n36905 55256\n47854 71654\n25354 38033\n88311 100000\n78836 100000\n85903 100000\n79983 100000\n31457 47122\n76195 100000\n4212 6358\n42391 63489\n27354 41014\n3184 4820\n49928 74809\n97396 100000\n75331 100000\n9483 14261\n37508 56148\n10441 15712\n18244 27391\n84979 100000\n67951 100000\n64132 96188\n43494 65118\n99081 100000\n72381 100000\n35140 52609\n16905 25378\n66413 99607\n92988 100000\n91581 100000\n63738 95595\n45497 68116\n39450 59046\n94573 100000\n58891 88267\n70700 100000\n22697 34083\n25971 38962\n42763 64037\n885 1315\n61819 92693\n72915 100000\n95941 100000\n5959 9007\n9817 14767\n67632 100000\n91219 100000\n90377 100000\n31664 47435\n79668 100000\n35318 52871\n67902 100000\n67570 100000\n64745 97111\n80740 100000\n81653 100000\n44283 66288\n25865 38809\n12010 18071\n8727 13130\n17468 26227\n40881 61214\n50777 76078\n23453 35206\n46526 69664\n91850 100000\n23081 34657\n70609 100000\n87767 100000\n17680 26555\n95669 100000\n88981 100000\n27702 41530\n47149 70587\n41065 61487\n79396 100000\n31455 47119\n89471 100000\n86973 100000\n22500 33797\n87455 100000\n77045 100000\n94514 100000\n47775 71529\n89795 100000\n62132 93175\n86548 100000\n19973 30009\n41536 62201\n52995 79377\n8596 12937\n9518 14313\n76140 100000\n38767 58020\n65157 97749\n74809 100000\n51052 76488\n61299 91904\n36763 55052\n64279 96416\n21358 32076\n57331 85917\n50736 76015\n17997 27018\n36342 54418\n38257 57271\n2683 4064\n6509 9823\n82436 100000\n11706 17627\n82556 100000\n16258 24421\n97063 100000\n26408 39617\n10771 16217\n2758 4175\n37515 56157\n94065 100000\n3520 5312\n84017 100000\n72053 100000\n19923 29936\n94076 100000\n78218 100000\n63647 95456\n19279 28969\n97968 100000\n26721 40064\n27798 41676\n28491 42712\n33687 50472\n92919 100000\n99114 100000\n40047 59957\n56198 84206\n89755 100000\n91533 100000\n8875 13350\n632 945\n78406 100000\n52647 78858\n28958 43409\n93334 100000\n14356 21605\n59146 88650\n13436 20228\n58293 87373\n60418 90582\n38042 56948\n309 464\n21068 31646\n31151 46666\n61884 92794\n38248 57258\n41179 61664\n27355 41015\n42821 64122\n39026 58422\n50002 74921\n50862 76202\n1247 1868\n32555 48755\n44141 66072\n75524 100000\n39785 59545\n76117 100000\n13824 20790\n28435 42632\n21462 32234\n54629 81838\n88964 100000\n91670 100000\n17976 26988\n32086 48063\n72821 100000\n52962 79328\n62334 93480\n18325 27513\n27260 40865\n69446 100000\n71086 100000\n32484 48648\n27089 40611\n99901 100000\n70229 100000\n37546 56205\n61675 92476\n47515 71144\n3558 5369\n43122 64567\n33114 49607\n33051 49516\n60495 90703\n59986 89937\n74896 100000\n76699 100000\n21255 31922\n57051 85496\n54779 82065\n91001 100000\n77647 100000\n28516 42752\n99712 100000\n92200 100000\n74252 100000\n8775 13201\n29137 43672\n81636 100000\n7798 11743\n28058 42068\n69511 100000\n73474 100000\n13905 20920\n54416 81515\n76896 100000\n684 1024\n32213 48249\n99531 100000\n23052 34614\n34481 51655\n8468 12737\n90211 100000\n64733 97094\n11852 17844\n1717 2579\n25746 38626\n53914 80761\n24989 37486\n73734 100000\n36909 55261\n80843 100000\n41038 61450\n20369 30601\n69051 100000\n18756 28153\n36113 54063\n97537 100000\n77623 100000\n8038 12105\n14603 21964\n11153 16806\n24001 36018\n4981 7522\n99193 100000\n37827 56625\n86729 100000\n1331 1987\n51600 77307\n96281 100000\n20309 30511\n55008 82396\n35146 52616\n54443 81557\n77731 100000\n122 176\n69598 100000\n44750 67006\n14524 21849\n22708 34103\n17376 26086\n22963 34479\n93472 100000\n79933 100000\n45051 67449\n69946 100000\n73656 100000\n27249 40851\n36511 54678\n71018 100000\n68666 100000\n7047 10629\n77213 100000\n18199 27323\n14089 21212\n37050 55468\n54525 81684\n92617 100000\n21253 31920\n81264 100000\n26255 39390\n97168 100000\n43182 64656\n32400 48521\n91761 100000\n78630 100000\n7921 11929\n99913 100000\n38185 57163\n63479 95195\n51787 77578\n99937 100000\n81224 100000\n30088 45077\n82994 100000\n42814 64110\n32593 48815\n89416 100000\n90321 100000\n24823 37235\n10404 15658\n34607 51830\n94040 100000\n82747 100000\n43955 65792\n90760 100000\n29877 44765\n33941 50847\n18674 28031\n98441 100000\n16515 24801\n59054 88507\n5533 8350\n54866 82190\n13688 20599\n8204 12346\n42174 63163\n65444 98173\n1951 2946\n20097 30193\n7364 11094\n85348 100000\n69659 100000\n45989 68848\n85234 100000\n15302 23005\n54670 81903\n10386 15628\n6423 9689\n95294 100000\n95532 100000\n78336 100000\n11071 16675\n67626 100000\n82306 100000\n26401 39605\n88301 100000\n78055 100000\n26710 40050\n62235 93332\n11792 17759\n46149 69086\n90269 100000\n32554 48753\n69954 100000\n2947 4463\n80923 100000\n92249 100000\n94430 100000\n95474 100000\n71999 100000\n83960 100000\n23310 34992\n59046 88496\n15492 23288\n67498 100000\n63531 95277\n81118 100000\n90125 100000\n54782 82070\n21932 32939\n56545 84729\n65930 98899\n63360 95014\n31335 46947\n20795 31243\n92186 100000\n28638 42935\n72193 100000\n11967 18006\n5605 8448\n29738 44557\n32350 48450\n60180 90222\n47461 71062\n86928 100000\n45078 67488\n92024 100000\n6119 9237\n91930 100000\n69461 100000\n90657 100000\n74803 100000\n54799 82096\n40785 61063\n80654 100000\n58642 87885\n85128 100000\n49103 73563\n70464 100000\n82918 100000\n91328 100000\n57514 86196\n56890 85254\n94760 100000\n46097 69013\n65727 98586\n11073 16678\n82849 100000\n83564 100000\n82166 100000\n32982 49410\n39570 59218\n68553 100000\n64941 97416\n61966 92929\n47455 71054\n41692 62439\n53997 80892\n61969 92934\n30632 45909\n33618 50372\n27963 41917\n18952 28464\n77988 100000\n63519 95255\n21793 32727\n41239 61760\n72039 100000\n10629 15996\n69995 100000\n55948 83824\n11263 16974\n90198 100000\n93036 100000\n18013 27042\n54963 82330\n74098 100000\n9801 14740\n38288 57316\n22430 33689\n14515 21835\n12553 18899\n52192 78169\n72539 100000\n55103 82547\n28713 43041\n60479 90675\n14543 21874\n73989 100000\n20087 30179\n90055 100000\n81634 100000\n27987 41952\n36128 54089\n90387 100000\n29867 44751\n52462 78586\n97274 100000\n10258 15437\n91074 100000\n13539 20372\n34146 51161\n43867 65662\n35300 52846\n9965 14990\n80065 100000\n5922 8948\n37190 55680\n24583 36891\n55669 83401\n66819 100000\n1864 2812\n14748 22185\n98708 100000\n91886 100000\n54793 82088\n57460 86108\n70669 100000\n71766 100000\n35427 53038\n44792 67067\n65217 97839\n83781 100000\n9579 14403\n4473 6745\n57473 86128\n37540 56195\n62984 94463\n70952 100000\n44341 66377\n90846 100000\n47415 70995\n44084 65980\n45770 68521\n89742 100000\n59750 89587\n62476 93702\n93381 100000\n10831 16313\n19864 29842\n37866 56677\n69962 100000\n28881 43292\n38190 57171\n35113 52571\n56469 84612\n36470 54617\n64356 96533\n65956 98933\n19844 29811\n34140 51152\n64329 96492\n31835 47692\n75548 100000\n10048 15118\n15149 22784\n30860 46242\n29177 43726\n23462 35221\n79938 100000\n77184 100000\n95089 100000\n37925 56768\n13497 20308\n80353 100000\n7889 11880\n2421 3674\n31626 47380\n82074 100000\n87163 100000\n76141 100000\n26572 39851\n11127 16760\n30095 45087\n825 1235\n84865 100000\n74402 100000\n25726 38598\n87886 100000\n55468 83099\n4634 7001\n55637 83356\n51371 76971\n36027 53937\n73011 100000\n95346 100000\n70402 100000\n73060 100000\n63921 95876\n68516 100000\n65304 97969\n41960 62838\n73053 100000\n88613 100000\n39276 58789\n53898 80738\n76404 100000\n93603 100000\n50921 76291\n98823 100000\n61252 91836\n73255 100000\n81580 100000\n32642 48892\n46493 69611\n90868 100000\n33505 50198\n58117 87108\n40546 60708\n47317 70850\n95647 100000\n79175 100000\n38548 57706\n24469 36728\n79899 100000\n49383 73992\n12176 18321\n25882 38835\n89738 100000\n57031 85467\n66339 99508\n68709 100000\n6072 9166\n86947 100000\n4079 6156\n34316 51414\n41453 62076\n43529 65167\n96369 100000\n72445 100000\n28168 42243\n71481 100000\n97848 100000\n91129 100000\n84704 100000\n26358 39541\n25531 38297\n22990 34521\n83589 100000\n62693 94024\n71507 100000\n58057 87020\n50007 74928\n41721 62481\n33315 49910\n86509 100000\n41336 61900\n69151 100000\n45359 67904\n3193 4834\n18127 27217\n16949 25442\n73360 100000\n20653 31031\n12528 18861\n73633 100000\n25394 38089\n51586 77286\n66989 100000\n11822 17806\n5554 8377\n62191 93264\n88757 100000\n9815 14764\n5387 8133\n45930 68762\n27045 40545\n51865 77689\n90957 100000\n71597 100000\n8146 12256\n36880 55218\n82240 100000\n6917 10447\n53882 80713\n40683 60912\n9321 14018\n42284 63325\n83027 100000\n29868 44753\n93742 100000\n16270 24438\n98654 100000\n66358 99535\n97556 100000\n65698 98540\n14357 21606\n9825 14781\n43978 65825\n45144 67583\n42929 64280\n37624 56322\n14580 21931\n99277 100000\n81928 100000\n59770 89619\n73292 100000\n5147 7774\n47110 70531\n10342 15562\n69057 100000\n11975 18017\n80331 100000\n35253 52774\n30247 45324\n95763 100000\n64222 96331\n20457 30743\n67427 100000\n99686 100000\n52285 78310\n77309 100000\n6156 9293\n91616 100000\n38436 57544\n9904 14899\n85562 100000\n75696 100000\n58929 88321\n94935 100000\n54017 80919\n93454 100000\n74230 100000\n49117 73583\n88260 100000\n76810 100000\n8779 13206\n44374 66429\n51567 77263\n39179 58650\n77185 100000\n54697 81941\n19204 28853\n2167 3275\n39636 59315\n33819 50663\n59485 89178\n36288 54335\n15023 22602\n40868 61191\n11942 17968\n24706 37076\n58442 87592\n45168 67623\n35011 52422\n53159 79620\n25555 38334\n22964 34480\n61310 91918\n51465 77112\n85827 100000\n32012 47956\n67694 100000\n40041 59946\n54983 82359\n19972 30007\n91399 100000\n75532 100000\n67211 100000\n79257 100000\n56502 84662\n41420 62026\n96333 100000\n93670 100000\n27366 41034\n90104 100000\n86772 100000\n7762 11689\n75119 100000\n19070 28641\n25367 38052\n73778 100000\n60483 90682\n81960 100000\n84830 100000\n58791 88118\n99805 100000\n52309 78352\n24491 36756\n17724 26615\n2156 3261\n2402 3644\n21687 32571\n70978 100000\n80914 100000\n12315 18536\n55486 83126\n13828 20797\n85077 100000\n6601 9964\n88600 100000\n13418 20198\n32570 48780\n15705 23600\n76222 100000\n94019 100000\n75718 100000\n12744 19182\n47277 70790\n26733 40080\n46733 69972\n4555 6873\n57566 86281\n56203 84213\n70582 100000\n32998 49434\n15158 22798\n78251 100000\n98988 100000\n57920 86815\n38588 57762\n88062 100000\n12401 18666\n30952 46376\n40438 60544\n7775 11709\n71159 100000\n35675 53408\n89832 100000\n93696 100000\n52914 79261\n415 624\n63995 95978\n96068 100000\n32268 48331\n14988 22549\n45489 68103\n52779 79053\n73860 100000\n82062 100000\n68258 100000\n85291 100000\n3200 4844\n5048 7619\n80496 100000\n49719 74494\n92123 100000\n48279 72303\n48772 73063\n51929 77780\n62160 93220\n23476 35241\n4178 6309\n19715 29613\n40327 60372\n51479 77132\n1400 2090\n77171 100000\n38493 57630\n31320 46924\n27665 41477\n11491 17307\n45806 68576\n97829 100000\n39219 58708\n59517 89230\n62779 94156\n58996 88421\n23010 34551\n76991 100000\n60582 90829\n76737 100000\n79660 100000\n75039 100000\n25305 37956\n24701 37068\n68713 100000\n41362 61935\n77414 100000\n67267 100000\n66207 99306\n53162 79624\n2138 3231\n82324 100000\n47981 71850\n77652 100000\n32497 48666\n43685 65396\n99295 100000\n17782 26697\n23629 35471\n11418 17201\n40332 60379\n867 1290\n87158 100000\n99464 100000\n6257 9437\n74395 100000\n98967 100000\n64154 96223\n45495 68114\n30305 45415\n85150 100000\n85141 100000\n47222 70707\n82364 100000\n21849 32815\n84954 100000\n42322 63382\n94174 100000\n90047 100000\n90437 100000\n77176 100000\n59683 89481\n99584 100000\n28968 43424\n90535 100000\n87775 100000\n87727 100000\n96567 100000\n15338 23064\n71047 100000\n70246 100000\n30905 46305\n48597 72792\n51750 77523\n86402 100000\n11941 17967\n24586 36896\n14909 22429\n17451 26202\n43366 64932\n79346 100000\n32139 48140\n44589 66746\n431 645\n32409 48534\n73450 100000\n70041 100000\n72861 100000\n17363 26068\n83423 100000\n62401 93580\n75242 100000\n43753 65501\n95418 100000\n70467 100000\n95661 100000\n46995 70355\n78653 100000\n93227 100000\n40377 60451\n35848 53662\n75656 100000\n75284 100000\n21615 32465\n71467 100000\n16224 24367\n36122 54078\n14719 22143\n68397 100000\n15058 22652\n11899 17907\n37425 56023\n82950 100000\n76691 100000\n63188 94757\n18444 27689\n97417 100000\n15722 23627\n23245 34898\n66396 99582\n65357 98045\n50857 76195\n836 1248\n30240 45313\n52245 78250\n14537 21866\n49516 74195\n63185 94754\n87279 100000\n64996 97499\n43364 64929\n56018 83931\n41152 61622\n4564 6887\n79676 100000\n47901 71729\n28960 43412\n67497 100000\n87365 100000\n85367 100000\n20588 30934\n89937 100000\n15905 23896\n4875 7367\n9717 14610\n85284 100000\n30674 45976\n43273 64797\n3331 5038\n82780 100000\n70838 100000\n5273 7960\n7507 11311\n39436 59028\n89213 100000\n47428 71016\n31999 47941\n60493 90699\n60628 90902\n97235 100000\n77692 100000\n3394 5131\n96968 100000\n14627 22000\n14380 21641\n67536 100000\n26017 39027\n25567 38352\n28914 43341\n84032 100000\n48747 73025\n12733 19166\n9975 15006\n82472 100000\n85381 100000\n94248 100000\n17874 26835\n88388 100000\n89682 100000\n38585 57757\n72649 100000\n2065 3119\n64252 96378\n67556 100000\n41156 61629\n3716 5596\n91228 100000\n77729 100000\n76960 100000\n90799 100000\n59533 89253\n9081 13643\n26525 39782\n57011 85440\n94226 100000\n63080 94600\n11519 17352\n80017 100000\n46670 69877\n1228 1839\n90240 100000\n2577 3906\n89626 100000\n83016 100000\n96693 100000\n34750 52040\n93945 100000\n54997 82379\n6615 9983\n75158 100000\n13419 20200\n79719 100000\n68215 100000\n31357 46979\n25182 37775\n25195 37796\n40491 60624\n1041 1564\n3323 5024\n10163 15292\n81656 100000\n32605 48837\n4868 7355\n15127 22749\n86314 100000\n38882 58202\n32698 48979\n92283 100000\n96179 100000\n34656 51900\n2018 3043\n99007 100000\n17864 26821\n31988 47925\n97553 100000\n75421 100000\n130 186\n29033 43518\n57059 85509\n2968 4497\n88237 100000\n86020 100000\n36931 55293\n25489 38237\n87547 100000\n6135 9262\n27972 41931\n58567 87774\n39828 59619\n21035 31594\n99869 100000\n53943 80806\n69964 100000\n40837 61143\n5949 8990\n74911 100000\n12290 18499\n69407 100000\n6626 10001\n74407 100000\n35186 52670\n60648 90933\n24937 37407\n27612 41396\n17658 26520\n13189 19853\n51914 77761\n19582 29420\n77250 100000\n38199 57185\n67488 100000\n72165 100000\n49420 74054\n5903 8922\n85671 100000\n22396 33642\n50302 75361\n49663 74409\n14671 22068\n90564 100000\n91272 100000\n5898 8913\n25561 38343\n37526 56174\n84189 100000\n6203 9361\n87429 100000\n63273 94890\n10217 15370\n74156 100000\n14565 21909\n69498 100000\n51777 77563\n41248 61773\n6077 9172\n93145 100000\n61339 91961\n24655 36996\n772 1154\n42156 63129\n22314 33518\n26653 39960\n84481 100000\n21387 32118\n35335 52898\n74500 100000\n43757 65509\n59469 89153\n297 443\n94416 100000\n6501 9811\n2951 4469\n45302 67818\n31291 46882\n11287 17011\n3529 5325\n54641 81853\n75534 100000\n94338 100000\n9245 13908\n22332 33541\n81094 100000\n82067 100000\n84488 100000\n28035 42033\n43373 64943\n79455 100000\n79839 100000\n40941 61307\n66730 100000\n57822 86660\n80177 100000\n60018 89985\n24352 36548\n28352 42507\n32539 48731\n80499 100000\n6134 9260\n31595 47331\n18172 27280\n77913 100000\n43642 65338\n86663 100000\n28888 43303\n14506 21819\n94546 100000\n87000 100000\n60932 91343\n47613 71290\n68088 100000\n31695 47487\n29615 44381\n43127 64576\n7029 10607\n74159 100000\n60771 91117\n94884 100000\n69817 100000\n4763 7193\n64884 97329\n94121 100000\n42832 64139\n71162 100000\n36380 54478\n49055 73485\n50953 76341\n97144 100000\n83268 100000\n75443 100000\n66179 99263\n71802 100000\n74795 100000\n31492 47177\n31558 47274\n6095 9195\n67764 100000\n40122 60070\n80218 100000\n49024 73437\n40842 61151\n50714 75983\n72432 100000\n55479 83113\n86036 100000\n2849 4309\n11527 17362\n87482 100000\n31123 46624\n41206 61707\n35327 52885\n47028 70406\n34031 50987\n74901 100000\n46708 69938\n32300 48378\n42911 64255\n37834 56634\n24875 37318\n20483 30779\n50673 75919\n20562 30895\n16624 24952\n5175 7816\n39364 58917\n29966 44891\n4920 7430\n5844 8821\n20910 31415\n97917 100000\n26199 39307\n16401 24628\n31269 46851\n27776 41640\n14424 21702\n63208 94789\n74881 100000\n41633 62347\n38592 57766\n82470 100000\n71219 100000\n91039 100000\n15687 23574\n16210 24345\n73618 100000\n49640 74375\n61349 91976\n87739 100000\n26019 39030\n98572 100000\n12976 19534\n80447 100000\n47006 70374\n29648 44423\n31149 46663\n62658 93972\n47889 71710\n44334 66367\n23923 35899\n3262 4930\n84350 100000\n76479 100000\n81232 100000\n34378 51507\n65226 97852\n19926 29941\n18757 28155\n47338 70880\n85571 100000\n12754 19195\n90224 100000\n93078 100000\n80502 100000\n61298 91903\n10935 16469\n66681 100000\n84025 100000\n35006 52414\n30652 45940\n40190 60173\n59033 88479\n24573 36874\n35928 53782\n86082 100000\n53805 80602\n21298 31981\n83656 100000\n52470 78598\n73089 100000\n53930 80789\n97641 100000\n36766 55057\n54210 81210\n70502 100000\n7486 11280\n51309 76876\n8681 13061\n38082 57009\n31451 47114\n20668 31053\n91187 100000\n37122 55578\n39110 58544\n84168 100000\n75878 100000\n42848 64161\n89814 100000\n12267 18465\n57912 86800\n16662 25005\n91172 100000\n61013 91468\n59040 88486\n10228 15390\n56482 84629\n69283 100000\n85524 100000\n41753 62528\n76204 100000\n28496 42721\n1807 2725\n18998 28531\n42789 64075\n24534 36815\n5495 8292\n8783 13212\n48015 71899\n91669 100000\n45196 67663\n95340 100000\n21067 31644\n46912 70227\n13019 19598\n77869 100000\n23707 35587\n7886 11875\n47920 71754\n83519 100000\n30855 46233\n66424 99623\n23079 34654\n87230 100000\n68509 100000\n47925 71761\n90560 100000\n20518 30826\n82739 100000\n59627 89397\n32535 48725\n98553 100000\n5198 7846\n66871 100000\n43222 64720\n48254 72267\n87602 100000\n28714 43042\n91203 100000\n85636 100000\n86436 100000\n42280 63319\n19049 28610\n87660 100000\n32714 49005\n12534 18871\n85361 100000\n30000 44946\n61672 92472\n20486 30784\n95353 100000\n1240 1859\n47060 70457\n30449 45629\n22642 34001\n92546 100000\n85869 100000\n23699 35574\n28942 43384\n17348 26043\n77424 100000\n91240 100000\n98763 100000\n35080 52525\n38329 57383\n6490 9793\n21262 31932\n22582 33914\n17184 25792\n52220 78213\n20686 31079\n8886 13368\n74591 100000\n54478 81612\n45654 68349\n52126 78071\n39922 59763\n19117 28720\n65824 98733\n43890 65700\n37732 56481\n20043 30109\n82089 100000\n33140 49640\n41104 61548\n23933 35914\n5137 7755\n75597 100000\n43710 65435\n96840 100000\n92893 100000\n62633 93934\n58637 87878\n89925 100000\n65916 98878\n18783 28197\n73295 100000\n57826 86665\n88009 100000\n83678 100000\n15384 23133\n51619 77334\n6619 9990\n25312 37968\n82631 100000\n51957 77823\n91902 100000\n41324 61884\n64826 97241\n29337 43962\n46351 69393\n69144 100000\n17154 25750\n58662 87916\n38804 58078\n97120 100000\n87172 100000\n61662 92456\n56486 84636\n27109 40639\n59541 89266\n95292 100000\n82567 100000\n61551 92292\n80286 100000\n37254 55777\n43549 65198\n46809 70078\n4518 6816\n92840 100000\n23221 34864\n5193 7840\n5911 8934\n99420 100000\n88377 100000\n80612 100000\n95223 100000\n43410 64997\n63017 94507\n10691 16095\n43349 64910\n46856 70141\n23634 35477\n21989 33020\n94045 100000\n9960 14982\n14831 22310\n52088 78018\n4575 6907\n87585 100000\n85392 100000\n52433 78538\n25549 38324\n65912 98872\n1996 3013\n12783 19244\n40152 60114\n40131 60083\n24553 36842\n1889 2852\n126 181\n76632 100000\n35410 53008\n31914 47814\n85058 100000\n10494 15787\n15683 23569\n80737 100000\n67205 100000\n53919 80770\n94925 100000\n30986 46424\n63378 95042\n71050 100000\n7521 11337\n37075 55506\n30981 46417\n9289 13970\n12112 18225\n83033 100000\n93695 100000\n1530 2290\n58830 88176\n65869 98804\n7125 10741\n38668 57871\n65203 97818\n43274 64799\n61544 92281\n49253 73786\n32889 49276\n6469 9763\n90255 100000\n76469 100000\n21737 32643\n10830 16311\n99999 100000\n9685 14564\n65917 98879\n25084 37635\n73023 100000\n3863 5822\n46958 70295\n89291 100000\n53220 79707\n47203 70675\n46963 70303\n25189 37786\n11846 17835\n89709 100000\n51551 77239\n38799 58072\n79122 100000\n65031 97551\n82296 100000\n20702 31103\n46103 69021\n43214 64706\n97972 100000\n30795 46147\n64907 97364\n68407 100000\n10175 15310\n87259 100000\n13540 20374\n45751 68491\n98430 100000\n82187 100000\n70470 100000\n4542 6854\n51066 76508\n94156 100000\n97678 100000\n32508 48683\n49747 74537\n75410 100000\n1385 2069\n74646 100000\n78892 100000\n81992 100000\n97164 100000\n18947 28456\n94217 100000\n66061 99086\n53250 79756\n691 1033\n34002 50939\n69773 100000\n99072 100000\n25552 38330\n24144 36234\n39361 58914\n7608 11461\n17833 26775\n12612 18989\n61434 92108\n8881 13360\n23095 34676\n58691 87963\n67711 100000\n6228 9395\n56248 84279\n4523 6823\n32088 48066\n74385 100000\n7785 11723\n30253 45333\n67414 100000\n46480 69589\n36992 55381\n10459 15737\n98894 100000\n39422 59008\n76271 100000\n82327 100000\n25396 38093\n68091 100000\n20029 30091\n42011 62911\n91984 100000\n30210 45264\n31009 46457\n35544 53218\n96932 100000\n13570 20422\n97480 100000\n22903 34391\n23063 34631\n41762 62543\n32222 48264\n47837 71627\n57284 85844\n22561 33886\n46184 69139\n93483 100000\n82550 100000\n94758 100000\n34663 51909\n67584 100000\n68838 100000\n99561 100000\n3620 5459\n2851 4311\n78506 100000\n47477 71084\n50447 75570\n23835 35770\n82698 100000\n48550 72719\n14870 22372\n54806 82106\n97491 100000\n61839 92724\n47548 71192\n64700 97045\n30519 45732\n92677 100000\n72958 100000\n5746 8665\n82505 100000\n31191 46731\n92616 100000\n62164 93225\n16904 25376\n60596 90849\n24533 36814\n82391 100000\n9089 13657\n53593 80273\n5995 9059\n87180 100000\n49600 74316\n65451 98182\n53278 79800\n13787 20736\n63502 95229\n26497 39744\n17634 26480\n51316 76885\n9700 14585\n80026 100000\n76348 100000\n8179 12308\n38963 58321\n41808 62621\n8199 12339\n91223 100000\n22204 33356\n73686 100000\n14340 21580\n54714 81963\n4911 7418\n68186 100000\n73003 100000\n77297 100000\n44694 66918\n64306 96458\n31878 47758\n92240 100000\n79655 100000\n39887 59714\n74674 100000\n28734 43075\n40243 60248\n91987 100000\n63744 95604\n86207 100000\n23160 34774\n16854 25302\n94639 100000\n98132 100000\n67871 100000\n88853 100000\n22696 34081\n14846 22333\n9323 14022\n15143 22774\n70195 100000\n49935 74819\n23 34\n15843 23803\n16015 24051\n31430 47083\n42948 64310\n80432 100000\n34367 51489\n11404 17180\n20403 30659\n32346 48445\n77320 100000\n1893 2860\n53479 80103\n235 352\n27210 40794\n90136 100000\n87290 100000\n2948 4465\n87711 100000\n27659 41468\n84410 100000\n57415 86043\n55464 83094\n69909 100000\n75690 100000\n91628 100000\n66842 100000\n8915 13407\n85122 100000\n1009 1512\n87071 100000\n23300 34980\n74091 100000\n10755 16193\n85993 100000\n14083 21201\n96916 100000\n72643 100000\n96048 100000\n63724 95575\n99912 100000\n90351 100000\n19098 28690\n52869 79192\n50974 76371\n20657 31037\n23773 35683\n27671 41487\n55082 82511\n41555 62231\n61532 92263\n36189 54183\n46721 69955\n44561 66705\n49050 73477\n28808 43180\n70293 100000\n16021 24059\n83652 100000\n345 517\n30018 44974\n21992 33025\n26672 39989\n9623 14467\n22838 34298\n10878 16377\n90793 100000\n19152 28773\n82828 100000\n65489 98234\n8471 12740\n51986 77864\n66157 99231\n43175 64646\n8818 13265\n92429 100000\n42303 63355\n87737 100000\n1515 2268\n54857 82177\n94319 100000\n26769 40135\n55178 82653\n62221 93310\n92089 100000\n78355 100000\n3828 5767\n1333 1990\n34566 51770\n82874 100000\n23802 35724\n20824 31287\n98173 100000\n27074 40588\n51472 77122\n38974 58339\n95378 100000\n15692 23580\n37763 56531\n66623 99934\n17529 26320\n42785 64069\n75751 100000\n69424 100000\n84811 100000\n98306 100000\n53291 79823\n49323 73892\n26250 39384\n62969 94440\n77893 100000\n47368 70929\n19158 28784\n74440 100000\n97836 100000\n33704 50495\n97037 100000\n48085 72009\n14650 22037\n74340 100000\n82629 100000\n18904 28390\n2054 3101\n76925 100000\n82667 100000\n88319 100000\n40847 61158\n9096 13667\n49731 74514\n80570 100000\n15268 22958\n41651 62373\n26119 39183\n24804 37208\n2686 4068\n59710 89524\n83153 100000\n94762 100000\n26681 40006\n23496 35270\n38997 58377\n86869 100000\n41583 62271\n5339 8058\n54818 82121\n6230 9399\n47850 71648\n71437 100000\n54065 80999\n93122 100000\n11246 16947\n3397 5134\n15747 23665\n48216 72207\n52201 78185\n42127 63087\n91738 100000\n79098 100000\n22045 33108\n22855 34319\n28198 42286\n34706 51972\n8815 13261\n49983 74894\n64415 96619\n27716 41551\n65246 97882\n5489 8283\n61155 91686\n64348 96523\n65793 98689\n95866 100000\n93286 100000\n29256 43839\n17627 26467\n69963 100000\n14163 21324\n71503 100000\n82337 100000\n13297 20019\n11564 17416\n87936 100000\n46773 70028\n38155 57115\n96533 100000\n9699 14583\n57444 86086\n60622 90892\n9843 14807\n34139 51151\n18616 27945\n86659 100000\n7234 10905\n80547 100000\n45892 68707\n48395 72482\n70387 100000\n73979 100000\n42750 64017\n17751 26654\n50341 75422\n60959 91385\n37848 56655\n31040 46499\n27321 40959\n30446 45624\n93834 100000\n71327 100000\n4452 6719\n20831 31296\n60599 90854\n87950 100000\n87001 100000\n69825 100000\n78787 100000\n42614 63814\n27100 40625\n65655 98475\n89945 100000\n53012 79401\n67375 100000\n32958 49377\n39369 58926\n62559 93825\n14104 21236\n39068 58484\n66856 100000\n82660 100000\n84280 100000\n77658 100000\n1930 2917\n26370 39560\n95093 100000\n8545 12853\n78049 100000\n29302 43914\n82376 100000\n43057 64471\n31456 47121\n44321 66347\n97340 100000\n33560 50276\n44630 66814\n56728 85012\n76049 100000\n67942 100000\n79203 100000\n34149 51167\n40836 61142\n5498 8297\n98607 100000\n62870 94295\n67088 100000\n37898 56729\n35581 53276\n43383 64958\n53892 80728\n60153 90180\n80445 100000\n66407 99599\n39759 59503\n81900 100000\n9750 14662\n17957 26959\n3527 5322\n85859 100000\n83499 100000\n62996 94479\n45202 67673\n20420 30685\n67783 100000\n5205 7858\n7665 11546\n47861 71664\n48361 72430\n69254 100000\n92174 100000\n38057 56971\n44082 65977\n51113 76582\n32799 49134\n10845 16330\n21618 32470\n72736 100000\n63376 95038\n97141 100000\n8329 12536\n93374 100000\n84472 100000\n23616 35450\n97482 100000\n52589 78776\n44027 65896\n35536 53203\n83183 100000\n24656 36997\n28538 42788\n34454 51612\n82608 100000\n61691 92501\n71089 100000\n27044 40544\n90586 100000\n67887 100000\n31684 47470\n28738 43081\n23625 35465\n71631 100000\n26848 40250\n19745 29657\n3173 4803\n43414 65003\n16508 24791\n56929 85311\n84980 100000\n78671 100000\n57222 85745\n20172 30303\n37384 55962\n76206 100000\n66421 99619\n78999 100000\n49564 74258\n89103 100000\n1232 1847\n60986 91428\n25520 38283\n39087 58510\n35794 53578\n13280 19993\n35586 53282\n44662 66867\n51233 76763\n77948 100000\n9073 13633\n72425 100000\n5629 8484\n27217 40803\n5358 8088\n82424 100000\n12565 18917\n4806 7259\n38313 57355\n71850 100000\n88875 100000\n15281 22977\n95373 100000\n36136 54101\n78386 100000\n82915 100000\n61978 92950\n75181 100000\n51148 76634\n63812 95716\n42984 64367\n8531 12834\n40581 60760\n89783 100000\n28582 42856\n59447 89121\n1413 2111\n6059 9148\n49840 74679\n29085 43597\n87846 100000\n42113 63067\n97270 100000\n36619 54837\n58884 88257\n20876 31366\n46755 70002\n56233 84256\n46476 69584\n55857 83686\n41639 62356\n33817 50659\n20065 30142\n9514 14307\n23236 34885\n71540 100000\n74581 100000\n56682 84945\n80393 100000\n15861 23828\n78790 100000\n29821 44683\n36492 54652\n92521 100000\n61641 92424\n16602 24923\n14641 22023\n27558 41318\n83756 100000\n19554 29376\n6516 9835\n86804 100000\n54881 82210\n52933 79290\n11162 16820\n16288 24464\n71025 100000\n98437 100000\n56703 84974\n33655 50430\n55078 82504\n34731 52012\n79231 100000\n75861 100000\n74781 100000\n13359 20112\n57507 86183\n24159 36255\n89997 100000\n5459 8238\n32178 48198\n53320 79863\n56783 85093\n84381 100000\n9841 14804\n97036 100000\n85400 100000\n89317 100000\n28053 42061\n19067 28637\n15387 23138\n39853 59659\n60509 90723\n8102 12199\n41024 61428\n12093 18196\n32886 49272\n79712 100000\n43647 65346\n77208 100000\n48562 72738\n88895 100000\n48669 72901\n38881 58201\n90407 100000\n57187 85693\n40027 59925\n84259 100000\n20186 30328\n23666 35524\n81512 100000\n11752 17700\n5667 8546\n53940 80801\n41919 62780\n40712 60954\n82298 100000\n63863 95793\n19332 29050\n53277 79798\n53371 79943\n7783 11720\n94517 100000\n60626 90899\n98754 100000\n5083 7677\n74436 100000\n19315 29022\n21007 31551\n44213 66183\n60949 91367\n27335 40983\n16546 24848\n30969 46400\n81069 100000\n13316 20044\n18869 28335\n56258 84295\n78417 100000\n9413 14154\n71232 100000\n50906 76267\n82474 100000\n26366 39552\n70307 100000\n92306 100000\n63045 94549\n61947 92896\n34636 51871\n14481 21780\n34751 52042\n85845 100000\n53918 80768\n62932 94385\n64724 97082\n86470 100000\n73090 100000\n20358 30586\n56435 84562\n68749 100000\n22588 33924\n22069 33146\n76424 100000\n11496 17314\n90854 100000\n38334 57390\n32253 48311\n35791 53574\n59462 89141\n25293 37939\n12672 19075\n19244 28917\n72733 100000\n53030 79428\n41055 61473\n56055 83989\n22242 33414\n57211 85728\n20361 30589\n13265 19970\n98972 100000\n44287 66292\n19686 29573\n22960 34474\n37703 56438\n86762 100000\n19162 28791\n78818 100000\n85111 100000\n40176 60152\n51565 77260\n96685 100000\n2688 4071\n50618 75836\n1215 1816\n35215 52714\n10856 16344\n91991 100000\n11905 17916\n40572 60746\n2435 3696\n27408 41095\n3350 5066\n35178 52662\n87195 100000\n68891 100000\n7172 10810\n86343 100000\n30304 45413\n41859 62700\n4100 6188\n63544 95298\n185 273\n42871 64193\n3452 5212\n8277 12460\n93949 100000\n24960 37441\n11639 17528\n52175 78142\n26552 39821\n35345 52912\n1078 1616\n30993 46434\n85016 100000\n18114 27201\n81008 100000\n42759 64031\n1419 2120\n9049 13601\n96640 100000\n21188 31823\n57219 85740\n62230 93325\n8717 13110\n71798 100000\n12398 18662\n49366 73962\n38667 57869\n60165 90200\n54883 82214\n90615 100000\n78609 100000\n67753 100000\n99934 100000\n58073 87046\n97861 100000\n17476 26237\n64793 97187\n67392 100000\n29604 44364\n39833 59627\n98117 100000\n73299 100000\n42593 63781\n54445 81560\n10821 16299\n22861 34327\n96270 100000\n70146 100000\n71372 100000\n17650 26506\n39579 59230\n22374 33610\n25985 38980\n11024 16603\n74413 100000\n93434 100000\n84046 100000\n26316 39480\n76999 100000\n16991 25507\n75051 100000\n47840 71632\n42818 64117\n13753 20690\n81877 100000\n59484 89176\n22266 33453\n11324 17068\n27246 40847\n67873 100000\n30900 46298\n83035 100000\n62188 93260\n24396 36612\n14184 21352\n16071 24135\n70010 100000\n3354 5071\n30413 45577\n50076 75032\n20672 31059\n51265 76810\n64004 95992\n77639 100000\n36153 54126\n2641 4003\n66131 99194\n35908 53752\n55401 82996\n99325 100000\n91052 100000\n95379 100000\n29793 44638\n37851 56659\n19971 30006\n76981 100000\n34790 52104\n2939 4448\n4036 6086\n95202 100000\n31476 47150\n84956 100000\n72258 100000\n14475 21772\n82659 100000\n16471 24733\n47564 71216\n10219 15374\n91 135\n27979 41940\n90593 100000\n45216 67693\n25721 38588\n99223 100000\n15016 22592\n87141 100000\n72685 100000\n97197 100000\n66223 99333\n39761 59505\n44260 66254\n4190 6327\n29442 44121\n97552 100000\n97252 100000\n58515 87701\n13840 20819\n16657 24997\n59199 88731\n42844 64156\n44453 66543\n76039 100000\n3995 6020\n97797 100000\n71500 100000\n22633 33990\n10469 15752\n93067 100000\n31966 47889\n2802 4234\n75409 100000\n30006 44956\n19606 29459\n27839 41738\n20058 30132\n50278 75326\n95129 100000\n84221 100000\n53077 79503\n52212 78202\n49299 73854\n54610 81808\n94345 100000\n91379 100000\n29174 43722\n81871 100000\n8588 12924\n29457 44141\n7555 11386\n98766 100000\n2955 4475\n70709 100000\n78527 100000\n84602 100000\n17454 26206\n73987 100000\n80887 100000\n92559 100000\n76303 100000\n68214 100000\n76360 100000\n36243 54266\n7537 11361\n42569 63750\n58256 87315\n36104 54051\n4757 7185\n46789 70049\n47173 70627\n15858 23824\n60324 90441\n23001 34537\n37351 55915\n28684 43005\n38440 57551\n30441 45619\n3635 5480\n77476 100000\n89559 100000\n98938 100000\n38022 56919\n69948 100000\n67828 100000\n99466 100000\n54725 81980\n74053 100000\n11412 17193\n60360 90493\n73357 100000\n1122 1683\n58269 87336\n35476 53109\n47434 71026\n723 1079\n47197 70666\n84577 100000\n77696 100000\n9606 14438\n26766 40131\n43869 65665\n84652 100000\n8861 13330\n78439 100000\n15330 23052\n91132 100000\n53867 80689\n13130 19762\n5543 8364\n43786 65548\n26047 39074\n76219 100000\n3915 5896\n45103 67528\n33380 50007\n19770 29693\n81914 100000\n33965 50887\n2163 3270\n99558 100000\n26841 40239\n95679 100000\n50060 75008\n17371 26080\n39402 58978\n38237 57241\n63009 94495\n56389 84491\n37776 56553\n36150 54122\n32182 48203\n18346 27542\n54708 81956\n46402 69468\n57645 86397\n621 927\n65587 98377\n29926 44839\n92321 100000\n17887 26855\n63312 94948\n28866 43271\n26395 39595\n56052 83984\n48847 73177\n51796 77592\n70012 100000\n60869 91250\n76399 100000\n43829 65609\n43587 65248\n20350 30574\n16068 24131\n4123 6221\n82598 100000\n14756 22198\n86878 100000\n61935 92875\n15701 23593\n59227 88775\n22919 34414\n43900 65715\n5596 8438\n9201 13839\n19039 28594\n62828 94227\n74167 100000\n13447 20240\n94327 100000\n31874 47752\n8685 13066\n40465 60585\n19659 29535\n22151 33272\n14393 21658\n31472 47145\n90652 100000\n2382 3612\n9471 14242\n36140 54107\n61786 92647\n64491 96729\n34766 52065\n95469 100000\n63602 95387\n64920 97386\n1389 2075\n67477 100000\n36041 53956\n36038 53951\n61962 92924\n6754 10202\n89565 100000\n72040 100000\n17303 25971\n996 1493\n2941 4452\n73873 100000\n58578 87792\n91385 100000\n15552 23376\n51857 77679\n80216 100000\n51859 77682\n12517 18842\n36676 54926\n10395 15643\n99890 100000\n22224 33387\n83796 100000\n31356 46977\n81930 100000\n58451 87606\n5860 8849\n89229 100000\n40882 61216\n69402 100000\n19814 29761\n32303 48383\n6107 9215\n44277 66280\n7222 10888\n57750 86559\n59718 89537\n62924 94373\n56932 85315\n33944 50851\n82854 100000\n18220 27355\n80698 100000\n54764 82045\n27843 41742\n89891 100000\n96225 100000\n53754 80521\n44609 66780\n88252 100000\n72895 100000\n33209 49751\n84537 100000\n47725 71451\n94843 100000\n51990 77870\n40687 60918\n48598 72794\n22610 33959\n14000 21066\n1945 2938\n32225 48268\n13496 20307\n94272 100000\n40013 59903\n91538 100000\n34437 51590\n13632 20518\n38742 57980\n81306 100000\n62017 93006\n63313 94950\n55080 82508\n7773 11706\n39363 58916\n68554 100000\n76710 100000\n85807 100000\n62558 93824\n82349 100000\n54534 81697\n63274 94891\n44224 66199\n51011 76426\n44934 67280\n10117 15224\n38433 57539\n77298 100000\n28511 42744\n18777 28186\n73264 100000\n86415 100000\n3602 5432\n68247 100000\n34532 51726\n71559 100000\n77240 100000\n3338 5048\n36737 55015\n84632 100000\n81484 100000\n75794 100000\n73929 100000\n30639 45921\n64776 97159\n97752 100000\n25016 37531\n36753 55035\n70334 100000\n40756 61016\n6176 9322\n1959 2957\n60019 89987\n62549 93809\n2317 3508\n31338 46952\n217 324\n78855 100000\n5819 8783\n87537 100000\n98126 100000\n37062 55487\n41297 61843\n26280 39428\n27760 41616\n14556 21894\n52004 77889\n61685 92492\n35670 53402\n27852 41754\n15688 23576\n37884 56706\n27115 40648\n50021 74950\n2373 3596\n82356 100000\n50902 76261\n30763 46099\n54090 81039\n64791 97184\n8622 12974\n64219 96326\n34971 52364\n36141 54109\n52124 78069\n71522 100000\n64750 97117\n88317 100000\n77910 100000\n11688 17603\n24687 37047\n65853 98779\n13058 19657\n91855 100000\n81649 100000\n16502 24782\n50937 76317\n41109 61555\n56274 84318\n99187 100000\n89329 100000\n40457 60572\n88922 100000\n4136 6240\n47627 71309\n80104 100000\n62796 94181\n64623 96930\n31278 46861\n13800 20754\n54371 81450\n84392 100000\n95563 100000\n66609 99911\n10424 15686\n28725 43062\n19818 29769\n93757 100000\n87 129\n1209 1809\n93536 100000\n91298 100000\n62785 94166\n86890 100000\n62296 93429\n21573 32399\n40773 61043\n95963 100000\n62162 93222\n48557 72730\n59366 88994\n89399 100000\n9890 14880\n208 309\n30268 45357\n30081 45068\n55661 83390\n23615 35448\n48956 73335\n49342 73922\n388 584\n62676 94000\n69558 100000\n17488 26258\n98285 100000\n93056 100000\n93929 100000\n86520 100000\n31573 47294\n61699 92513\n33294 49881\n30101 45097\n52817 79114\n56612 84838\n54275 81309\n878 1305\n10612 15969\n60764 91106\n27890 41808\n45621 68300\n78924 100000\n97742 100000\n94107 100000\n60926 91334\n31837 47694\n42148 63117\n16719 25092\n2786 4213\n79723 100000\n8857 13325\n31232 46797\n38342 57404\n68376 100000\n67541 100000\n21944 32958\n3155 4778\n53513 80151\n15953 23963\n1377 2059\n38130 57081\n25617 38429\n28695 43018\n95987 100000\n37513 56155\n48482 72614\n24548 36837\n88369 100000\n41648 62369\n59792 89647\n86367 100000\n66371 99551\n63032 94530\n21625 32481\n47670 71373\n41876 62722\n32444 48586\n4230 6387\n83351 100000\n15711 23610\n62541 93797\n93182 100000\n51238 76771\n25077 37625\n51341 76924\n43428 65024\n51780 77567\n27343 40996\n57693 86474\n52492 78632\n36634 54860\n61667 92463\n30073 45058\n6522 9845\n84694 100000\n24160 36257\n93228 100000\n76770 100000\n81949 100000\n99071 100000\n91843 100000\n13475 20278\n58248 87301\n55298 82838\n88497 100000\n30958 46382\n12632 19018\n79496 100000\n28770 43125\n44367 66417\n73118 100000\n6500 9809\n46257 69257\n73300 100000\n54434 81545\n53727 80476\n22089 33177\n452 675\n56696 84964\n69757 100000\n18337 27530\n81345 100000\n62879 94309\n44947 67299\n51330 76908\n82802 100000\n13434 20224\n35736 53494\n48926 73294\n29914 44819\n92290 100000\n69270 100000\n22034 33089\n6506 9819\n22805 34244\n38554 57712\n4463 6732\n27505 41240\n6287 9481\n86387 100000\n9481 14258\n57527 86217\n12241 18425\n54547 81715\n88433 100000\n3468 5234\n77724 100000\n56557 84747\n21147 31765\n79056 100000\n14298 21516\n57980 86903\n66354 99530\n18661 28015\n29703 44500\n5505 8307\n36203 54206\n39080 58501\n75216 100000\n82379 100000\n77772 100000\n60693 91001\n55358 82930\n86007 100000\n28947 43391\n22302 33504\n97940 100000\n74631 100000\n94810 100000\n99612 100000\n47037 70422\n90335 100000\n32945 49358\n79837 100000\n30255 45335\n41169 61649\n40477 60604\n34180 51213\n59519 89233\n56522 84693\n83355 100000\n44357 66400\n65057 97591\n70527 100000\n4032 6081\n65742 98610\n55522 83179\n65590 98381\n54554 81727\n11597 17464\n18748 28141\n90988 100000\n1310 1959\n10298 15495\n63846 95766\n68697 100000\n78901 100000\n12468 18767\n22383 33624\n98825 100000\n47061 70459\n28944 43386\n67345 100000\n4021 6063\n61501 92213\n9275 13951\n42724 63980\n12266 18464\n47646 71338\n76205 100000\n55156 82621\n11113 16741\n278 414\n39763 59509\n27094 40618\n51013 76430\n36888 55231\n26072 39113\n97214 100000\n4491 6776\n499 743\n49022 73435\n42808 64102\n62821 94218\n69567 100000\n90265 100000\n59264 88833\n94495 100000\n15466 23250\n89540 100000\n61428 92100\n84554 100000\n11371 17131\n94317 100000\n56761 85060\n61146 91673\n11814 17793\n9456 14220\n51032 76459\n6946 10491\n96850 100000\n5614 8463\n1897 2865\n43882 65686\n80560 100000\n73932 100000\n62695 94028\n91454 100000\n92178 100000\n58363 87474\n34161 51184\n52604 78796\n93993 100000\n67327 100000\n58249 87303\n47731 71462\n99745 100000\n58221 87260\n26122 39187\n20469 30759\n8293 12484\n18617 27946\n87096 100000\n63808 95708\n1688 2536\n9641 14495\n29345 43973\n79242 100000\n90861 100000\n54404 81499\n36084 54022\n16421 24656\n10130 15244\n48556 72728\n47211 70689\n25629 38448\n35030 52449\n65104 97662\n43930 65753\n43531 65170\n58068 87038\n79144 100000\n80800 100000\n18963 28481\n8839 13295\n57149 85636\n93973 100000\n12026 18095\n87515 100000\n50429 75545\n10508 15810\n12611 18988\n59500 89204\n1342 2005\n83262 100000\n79341 100000\n89036 100000\n60500 90710\n51763 77544\n70543 100000\n22297 33496\n76771 100000\n78083 100000\n65694 98534\n54544 81712\n96604 100000\n55891 83736\n47456 71056\n37761 56527\n61895 92811\n74681 100000\n90681 100000\n2888 4367\n4211 6356\n97639 100000\n91938 100000\n92431 100000\n89304 100000\n72001 100000\n25640 38463\n74041 100000\n93463 100000\n28185 42268\n20215 30373\n68370 100000\n4969 7505\n89736 100000\n37821 56618\n81451 100000\n42542 63711\n91015 100000\n4461 6730\n71461 100000\n79882 100000\n44017 65882\n65642 98458\n54964 82332\n60132 90148\n64085 96119\n23429 35169\n64342 96513\n52033 77934\n96331 100000\n85997 100000\n22916 34409\n10196 15340\n92506 100000\n69761 100000\n62871 94296\n45603 68274\n34674 51926\n20634 30999\n21343 32048\n95434 100000\n51356 76951\n14960 22510\n26213 39326\n63189 94758\n12453 18746\n4307 6502\n25788 38693\n31145 46658\n87484 100000\n29182 43731\n99188 100000\n93588 100000\n55829 83643\n45197 67665\n72986 100000\n18327 27515\n60576 90821\n97554 100000\n62934 94388\n15850 23812\n35951 53818\n14670 22066\n53442 80047\n81287 100000\n85455 100000\n56426 84550\n94071 100000\n64400 96595\n44565 66712\n69892 100000\n22560 33885\n80392 100000\n45983 68840\n58516 87703\n91535 100000\n38325 57377\n14351 21597\n67264 100000\n68422 100000\n304 454\n6573 9920\n22691 34074\n77971 100000\n38406 57502\n37754 56516\n60541 90770\n31652 47417\n2162 3269\n57812 86646\n25402 38102\n27542 41294\n34993 52395\n49472 74128\n35533 53198\n95847 100000\n23618 35453\n27450 41158\n7350 11072\n55132 82584\n69200 100000\n18910 28398\n96528 100000\n14902 22420\n86966 100000\n44836 67131\n23066 34635\n58158 87172\n41456 62080\n43255 64773\n66722 100000\n48253 72265\n18946 28454\n38703 57925\n70054 100000\n86941 100000\n50005 74925\n98605 100000\n22152 33273\n45589 68253\n90199 100000\n36182 54172\n70388 100000\n72642 100000\n81285 100000\n59137 88636\n98121 100000\n68108 100000\n68962 100000\n53172 79638\n11827 17811\n83587 100000\n8992 13524\n59686 89487\n21141 31757\n10031 15091\n67225 100000\n24089 36148\n40528 60680\n73673 100000\n63308 94942\n28397 42575\n53143 79599\n73143 100000\n28929 43364\n69128 100000\n22440 33707\n77864 100000\n66375 99556\n78000 100000\n91648 100000\n65638 98454\n35921 53770\n12223 18396\n64285 96425\n53690 80421\n13349 20097\n38133 57085\n98390 100000\n89844 100000\n89907 100000\n3292 4978\n74348 100000\n50645 75879\n88873 100000\n89971 100000\n37525 56173\n40812 61105\n45363 67911\n51090 76544\n21838 32800\n84600 100000\n36977 55362\n73080 100000\n20559 30891\n16052 24104\n17571 26380\n79366 100000\n87916 100000\n22368 33602\n2983 4520\n67044 100000\n49849 74691\n44263 66259\n25443 38169\n34704 51969\n3598 5425\n41866 62710\n29931 44844\n48043 71943\n30867 46252\n57903 86786\n35929 53784\n7080 10676\n20640 31008\n16367 24577\n30936 46353\n58903 88284\n71720 100000\n70081 100000\n28907 43332\n18618 27948\n72689 100000\n35241 52758\n8777 13204\n80241 100000\n2990 4530\n51342 76926\n56966 85370\n18514 27792\n47807 71579\n25685 38533\n1376 2057\n16648 24983\n4644 7013\n10500 15797\n54325 81382\n69894 100000\n50264 75306\n57854 86707\n474 708\n8309 12507\n86053 100000\n17882 26848\n35799 53585\n11205 16885\n41898 62751\n41622 62329\n87907 100000\n94563 100000\n26400 39603\n59348 88965\n50398 75504\n17611 26440\n99174 100000\n86279 100000\n75652 100000\n7494 11293\n72749 100000\n48056 71965\n40725 60973\n13503 20316\n88982 100000\n59446 89120\n33851 50712\n53577 80249\n89586 100000\n81042 100000\n99773 100000\n31760 47579\n69734 100000\n78283 100000\n97979 100000\n21864 32837\n82670 100000\n24383 36596\n93001 100000\n54377 81459\n3154 4777\n53847 80661\n15132 22756\n32579 48793\n69114 100000\n18857 28316\n52968 79338\n360 543\n87592 100000\n62321 93462\n34102 51098\n61411 92072\n99774 100000\n95513 100000\n73524 100000\n35818 53614\n76378 100000\n94023 100000\n11615 17490\n65981 98969\n51141 76622\n5803 8762\n35686 53424\n45671 68374\n74905 100000\n51491 77151\n9281 13959\n61332 91953\n59856 89742\n62525 93772\n26509 39759\n20476 30766\n22218 33378\n72395 100000\n24830 37247\n4973 7511\n56488 84639\n63442 95133\n61462 92152\n18251 27401\n46554 69710\n70966 100000\n47355 70909\n53845 80659\n84049 100000\n70110 100000\n96265 100000\n44211 66179\n72554 100000\n49848 74689\n13944 20976\n4242 6405\n78887 100000\n34327 51429\n52912 79258\n32441 48582\n99864 100000\n91647 100000\n93029 100000\n73073 100000\n29553 44284\n75 110\n99574 100000\n58110 87097\n66254 99377\n81834 100000\n41557 62234\n83783 100000\n29240 43814\n42449 63572\n53695 80426\n14958 22508\n96875 100000\n75884 100000\n7909 11912\n11351 17103\n69234 100000\n19370 29111\n69941 100000\n60783 91131\n57876 86743\n46984 70336\n59978 89923\n54797 82094\n46403 69469\n94680 100000\n66084 99124\n12583 18945\n38624 57813\n1168 1753\n94709 100000\n89192 100000\n46025 68900\n2767 4187\n17560 26364\n70480 100000\n81682 100000\n89813 100000\n33790 50622\n53028 79425\n76188 100000\n6233 9402\n2337 3536\n39787 59549\n85300 100000\n33369 49990\n39672 59369\n23107 34694\n1902 2874\n97803 100000\n85757 100000\n43338 64893\n89385 100000\n1390 2077\n2363 3581\n4861 7342\n46201 69164\n81933 100000\n16029 24070\n6411 9670\n92188 100000\n22283 33478\n49168 73660\n14074 21187\n68812 100000\n42831 64138\n276 411\n18240 27386\n93042 100000\n4166 6289\n50973 76369\n60930 91339\n67346 100000\n40237 60239\n75300 100000\n59312 88910\n92498 100000\n63300 94930\n29156 43699\n16723 25096\n93761 100000\n78312 100000\n78889 100000\n3114 4715\n32133 48131\n74860 100000\n63167 94729\n7363 11093\n8541 12847\n89086 100000\n85667 100000\n96285 100000\n34036 50993\n80358 100000\n22757 34176\n25948 38930\n79634 100000\n29090 43604\n2399 3638\n65095 97651\n72208 100000\n92108 100000\n86107 100000\n81602 100000\n68158 100000\n91895 100000\n18109 27193\n66650 99974\n42117 63073\n44080 65974\n7843 11811\n52695 78925\n73578 100000\n27715 41550\n90584 100000\n99667 100000\n66982 100000\n51098 76557\n16475 24740\n70394 100000\n78563 100000\n4892 7389\n29006 43476\n78696 100000\n64315 96472\n88100 100000\n73406 100000\n71277 100000\n17482 26248\n50864 76205\n94114 100000\n13320 20049\n23395 35118\n42323 63384\n92201 100000\n81500 100000\n6992 10559\n41634 62349\n62703 94042\n7129 10748\n42003 62899\n72391 100000\n41237 61756\n95524 100000\n56323 84390\n85372 100000\n98833 100000\n71819 100000\n90841 100000\n86361 100000\n85629 100000\n4050 6110\n94038 100000\n55978 83867\n68539 100000\n32442 48584\n13811 20772\n8570 12894\n3355 5073\n21898 32885\n2736 4145\n20758 31192\n64510 96757\n44258 66252\n60408 90568\n76326 100000\n75192 100000\n79273 100000\n54678 81914\n77550 100000\n79506 100000\n87754 100000\n44595 66757\n15916 23909\n60201 90253\n78024 100000\n90671 100000\n65173 97775\n31627 47382\n38814 58095\n16041 24088\n86130 100000\n73289 100000\n49687 74444\n90035 100000\n93206 100000\n73576 100000\n41697 62447\n24191 36302\n61836 92719\n96351 100000\n29812 44670\n61869 92770\n27576 41346\n47863 71667\n9834 14793\n75939 100000\n17143 25730\n66762 100000\n7968 12004\n59780 89631\n20454 30739\n69929 100000\n59660 89446\n34587 51800\n70540 100000\n86689 100000\n49597 74310\n8278 12461\n8367 12592\n77101 100000\n54125 81084\n77841 100000\n42767 64041\n83322 100000\n48152 72106\n91555 100000\n40149 60110\n43050 64460\n92098 100000\n414 623\n41606 62307\n93852 100000\n59825 89695\n59940 89869\n32149 48153\n50531 75706\n48177 72143\n77314 100000\n63960 95930\n14009 21079\n35661 53390\n38441 57552\n20612 30967\n50881 76226\n43308 64850\n86629 100000\n15959 23970\n84635 100000\n31489 47171\n94987 100000\n6613 9980\n74226 100000\n17892 26861\n2306 3489\n10478 15764\n53712 80454\n70194 100000\n11262 16972\n84907 100000\n25071 37615\n75401 100000\n36533 54711\n49505 74182\n34003 50941\n95304 100000\n28009 41989\n94986 100000\n99041 100000\n87110 100000\n60512 90728\n56035 83959\n8441 12699\n49587 74294\n1270 1901\n76729 100000\n17631 26475\n65435 98159\n2218 3354\n74114 100000\n43203 64689\n45601 68270\n62662 93977\n94086 100000\n30440 45618\n15276 22970\n44818 67104\n8930 13428\n92828 100000\n19949 29973\n14582 21933\n68226 100000\n11166 16827\n78666 100000\n4917 7426\n37722 56465\n47605 71278\n45474 68079\n35917 53765\n52811 79107\n29778 44617\n27314 40949\n44622 66802\n94448 100000\n6793 10262\n6540 9873\n16443 24691\n76095 100000\n45243 67733\n19228 28894\n46940 70266\n61057 91537\n39888 59715\n12465 18763\n18061 27116\n67750 100000\n54733 81992\n1500 2244\n97088 100000\n93070 100000\n21611 32459\n13385 20149\n45742 68478\n57660 86418\n35508 53156\n1649 2472\n71872 100000\n56989 85405\n25618 38430\n69132 100000\n86162 100000\n81014 100000\n25734 38610\n66962 100000\n44751 67007\n40186 60166\n34273 51352\n51257 76799\n2540 3851\n60526 90748\n65353 98040\n2777 4198\n22286 33482\n97999 100000\n72417 100000\n72325 100000\n35404 53000\n33221 49770\n18407 27632\n42700 63943\n36551 54737\n75046 100000\n73876 100000\n86289 100000\n95752 100000\n55787 83581\n681 1019\n98546 100000\n35584 53280\n98627 100000\n63073 94587\n70311 100000\n75385 100000\n61479 92181\n75915 100000\n86058 100000\n49765 74561\n26062 39097\n71004 100000\n52298 78332\n89754 100000\n56051 83983\n82868 100000\n19881 29869\n18140 27238\n33975 50902\n6625 10000\n44490 66602\n65986 98975\n18308 27488\n7568 11405\n63149 94705\n7377 11114\n46155 69096\n66139 99206\n76562 100000\n35494 53135\n17743 26642\n28278 42403\n60563 90800\n94214 100000\n78484 100000\n49997 74915\n6235 9405\n13233 19919\n16280 24453\n10668 16057\n64231 96343\n93937 100000\n24556 36848\n76212 100000\n15317 23029\n90006 100000\n35274 52809\n45410 67979\n8052 12126\n90334 100000\n73303 100000\n85802 100000\n19892 29886\n24669 37018\n8195 12333\n19411 29172\n498 741\n46835 70114\n65511 98269\n27086 40606\n54241 81257\n22380 33619\n16448 24699\n69125 100000\n43105 64546\n66310 99461\n10220 15375\n68727 100000\n73414 100000\n11650 17545\n33045 49506\n38939 58285\n60494 90701\n12143 18270\n54070 81006\n90345 100000\n89150 100000\n84855 100000\n279 415\n35593 53291\n30581 45830\n77447 100000\n65544 98315\n2101 3174\n54660 81885\n82721 100000\n63471 95181\n70008 100000\n68404 100000\n6650 10034\n93098 100000\n32072 48043\n73723 100000\n9917 14921\n4363 6582\n18745 28137\n8948 13456\n12034 18107\n35459 53083\n55799 83595\n71478 100000\n72770 100000\n66087 99129\n55901 83752\n61110 91619\n87734 100000\n46092 69003\n7206 10863\n9008 13545\n9903 14897\n41477 62115\n72441 100000\n62895 94331\n88419 100000\n47545 71186\n56804 85127\n19603 29456\n1448 2163\n75080 100000\n99956 100000\n21654 32524\n10504 15803\n17285 25944\n19709 29605\n41007 61404\n57499 86171\n2637 3997\n4089 6171\n31482 47158\n8511 12802\n72161 100000\n99216 100000\n76557 100000\n99979 100000\n15191 22847\n73495 100000\n22238 33409\n89120 100000\n65588 98379\n5122 7736\n61363 91997\n68231 100000\n6592 9950\n67777 100000\n72362 100000\n81702 100000\n75997 100000\n35372 52952\n47495 71113\n77799 100000\n64547 96815\n49623 74348\n2550 3866\n15791 23727\n33314 49908\n55014 82406\n56252 84285\n20190 30335\n8013 12069\n11060 16660\n50338 75419\n87742 100000\n36143 54112\n86016 100000\n92105 100000\n34728 52008\n41050 61466\n52217 78210\n60792 91144\n19860 29836\n98481 100000\n12827 19307\n91977 100000\n33556 50270\n32558 48760\n83344 100000\n4507 6800\n47143 70580\n60539 90767\n19055 28619\n35397 52989\n31713 47513\n66995 100000\n75927 100000\n19988 30032\n10335 15550\n67352 100000\n70313 100000\n2326 3518\n60476 90670\n8731 13136\n27153 40706\n42008 62907\n64295 96441\n64127 96181\n33459 50127\n57747 86555\n30444 45622\n46021 68893\n89278 100000\n37603 56290\n48037 71934\n2520 3820\n50979 76378\n9776 14701\n80749 100000\n80821 100000\n73735 100000\n97059 100000\n69230 100000\n81102 100000\n97633 100000\n11105 16729\n94627 100000\n88844 100000\n46629 69818\n80403 100000\n18867 28332\n84116 100000\n36784 55081\n16142 24240\n10367 15601\n55538 83203\n8538 12843\n8363 12586\n98693 100000\n79675 100000\n63346 94995\n78872 100000\n82866 100000\n96422 100000\n21671 32549\n41364 61938\n3817 5751\n35067 52507\n55179 82655\n77820 100000\n19957 29984\n92862 100000\n73561 100000\n89276 100000\n63583 95356\n90471 100000\n60255 90334\n79303 100000\n57403 86021\n14129 21270\n76252 100000\n1599 2395\n71551 100000\n49659 74403\n9124 13716\n41249 61774\n33496 50184\n23078 34653\n23535 35333\n35285 52824\n32860 49227\n28973 43430\n99144 100000\n64917 97381\n88561 100000\n49336 73913\n82772 100000\n20437 30711\n26692 40026\n4196 6335\n31711 47511\n81252 100000\n67518 100000\n41133 61593\n502 748\n56292 84342\n48391 72476\n96970 100000\n72335 100000\n43231 64733\n38478 57606\n50049 74992\n631 943\n92473 100000\n43331 64883\n67623 100000\n52761 79026\n61456 92140\n14600 21958\n50504 75663\n73676 100000\n95288 100000\n902 1340\n30853 46230\n13550 20392\n28962 43415\n93411 100000\n98873 100000\n58702 87979\n70657 100000\n42512 63667\n80121 100000\n59658 89443\n15159 22800\n46831 70109\n94946 100000\n92711 100000\n35588 53285\n51767 77552\n71996 100000\n1758 2642\n89879 100000\n56321 84387\n80714 100000\n752 1124\n35962 53834\n18355 27558\n24433 36671\n49121 73590\n54167 81147\n54692 81935\n",
        "output": "29\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 105,
        "task_id": 541,
        "test_case_id": 38,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 99999\n9660 14492\n39218 58792\n7097 10672\n471 721\n47512 71200\n29187 43767\n19659 29556\n59043 88558\n70154 100000\n47561 71275\n56682 85011\n52940 79344\n392 602\n63273 94906\n32157 48246\n2137 3205\n76159 100000\n89991 100000\n99644 100000\n66945 100000\n91481 100000\n3339 5038\n26852 40266\n72371 100000\n55470 83184\n81327 100000\n65427 98144\n23836 35763\n49766 74607\n4937 7429\n83337 100000\n68025 100000\n98872 100000\n1551 2348\n50174 75209\n15076 22687\n73917 100000\n13267 19922\n21137 31770\n25330 38008\n80239 100000\n66042 99079\n59106 88648\n16643 25026\n81516 100000\n47738 71544\n81903 100000\n24095 36160\n15318 23049\n60383 90590\n26442 39670\n71619 100000\n56247 84361\n87418 100000\n69485 100000\n64244 96356\n61510 92267\n46262 69361\n91177 100000\n93248 100000\n17196 25846\n5170 7772\n44284 66416\n86940 100000\n14073 21163\n33355 50012\n28495 42740\n29018 43526\n83503 100000\n22156 33273\n56321 84473\n30487 45735\n7182 10802\n73911 100000\n47021 70482\n2323 3495\n9881 14831\n7822 11749\n45182 67766\n22176 33305\n6224 9372\n77422 100000\n93966 100000\n70062 100000\n11340 17023\n88509 100000\n29476 44207\n86547 100000\n79695 100000\n45340 68005\n58039 87044\n30847 46289\n84591 100000\n23761 35651\n83831 100000\n28035 42046\n60144 90240\n29186 43766\n17099 25689\n16507 24826\n7040 10585\n13459 20222\n96199 100000\n38612 57899\n53392 80032\n3443 5196\n59679 89537\n56511 84757\n29711 44553\n43730 65596\n16455 24743\n88646 100000\n79069 100000\n23331 35011\n18249 27418\n9563 14349\n86866 100000\n91778 100000\n30308 45450\n87447 100000\n12405 18614\n15515 23344\n73813 100000\n91821 100000\n11983 17986\n94981 100000\n73624 100000\n32663 48993\n52832 79183\n43773 65655\n71523 100000\n70297 100000\n38708 58045\n64925 97378\n3480 5249\n49715 74525\n21409 32179\n32039 48070\n89521 100000\n97490 100000\n52270 78335\n29470 44197\n17764 26692\n41309 61967\n19869 29872\n18264 27441\n35118 52669\n44486 66716\n24542 36823\n11339 17021\n89347 100000\n71456 100000\n82302 100000\n3074 4640\n15847 23828\n12974 19474\n59401 89094\n61767 92652\n5427 8156\n59158 88733\n17572 26406\n86430 100000\n15423 23209\n93344 100000\n60859 91298\n34800 52197\n37023 55515\n14200 21351\n64612 96906\n62258 93394\n87313 100000\n2153 3232\n38466 57683\n85385 100000\n23165 34766\n48556 72773\n15895 23903\n83378 100000\n99504 100000\n84247 100000\n30121 45170\n6657 10014\n74555 100000\n88447 100000\n46257 69355\n18574 27913\n5948 8940\n71683 100000\n44379 66560\n11325 17000\n59201 88796\n15799 23760\n56927 85377\n59479 89224\n9842 14768\n22709 34085\n33331 49980\n63133 94709\n37550 56298\n15549 23397\n62295 93451\n16529 24854\n39349 58998\n23533 35308\n60086 90154\n74917 100000\n68849 100000\n15925 23945\n32983 49467\n54946 82380\n1956 2943\n95486 100000\n51542 77245\n38527 57779\n39828 59719\n73524 100000\n42789 64175\n24835 37266\n25639 38457\n23414 35138\n56089 84121\n19815 29793\n40260 60372\n59997 90021\n63140 94717\n90825 100000\n68250 100000\n58886 88322\n80749 100000\n32176 48272\n54468 81659\n5660 8508\n96849 100000\n77196 100000\n57331 85989\n20098 30210\n29624 44418\n84678 100000\n12668 19014\n64202 96293\n11775 17676\n10479 15724\n41038 61548\n54150 81161\n35614 53395\n10219 15339\n4611 6940\n96982 100000\n51172 76716\n33212 49807\n94708 100000\n77255 100000\n45860 68768\n81757 100000\n54085 81062\n26255 39392\n68732 100000\n74340 100000\n84287 100000\n27464 41185\n23569 35365\n39115 58630\n78363 100000\n38121 57162\n98381 100000\n78006 100000\n79792 100000\n55936 83886\n47029 70495\n64502 96735\n83576 100000\n31481 47232\n98226 100000\n1337 2027\n36295 54419\n97787 100000\n33901 50840\n86865 100000\n93084 100000\n57898 86828\n17287 25985\n35787 53653\n57660 86483\n90556 100000\n41406 62104\n30215 45315\n86962 100000\n84331 100000\n79208 100000\n35508 53241\n69570 100000\n27997 41986\n48533 72737\n26890 40317\n37822 56713\n22316 33501\n75401 100000\n34559 51827\n17888 26873\n48926 73335\n4097 6164\n76057 100000\n48181 72200\n83780 100000\n2792 4212\n66114 99192\n84435 100000\n92484 100000\n63808 95680\n42358 63534\n28968 43454\n81755 100000\n17469 26255\n9675 14517\n57882 86803\n92532 100000\n81435 100000\n85178 100000\n17087 25673\n27454 41170\n16267 24456\n13472 20241\n9101 13641\n77335 100000\n436 665\n22322 33510\n12168 18265\n37647 56452\n59601 89414\n84356 100000\n17054 25619\n28801 43200\n35683 53499\n69887 100000\n29022 43533\n92353 100000\n27393 41070\n56608 84903\n43904 65847\n56503 84745\n2248 3376\n66620 99942\n94197 100000\n15698 23617\n9743 14620\n85272 100000\n79920 100000\n75770 100000\n63935 95878\n35102 52643\n2619 3947\n20267 30467\n30358 45527\n28822 43234\n23425 35154\n41053 61572\n64872 97294\n86791 100000\n50191 75237\n23571 35369\n6991 10512\n93620 100000\n66592 99898\n25476 38223\n64915 97362\n88111 100000\n61194 91800\n51268 76856\n62822 94251\n32796 49193\n39574 59341\n63372 95047\n21672 32556\n59138 88700\n57338 86000\n42567 63845\n6427 9683\n70616 100000\n9129 13683\n27387 41059\n56473 84701\n22350 33548\n30422 45635\n41663 62493\n46056 69066\n81150 100000\n19115 28739\n52047 78012\n6989 10508\n97686 100000\n54670 81959\n63862 95768\n54460 81646\n36343 54493\n7698 11566\n42319 63476\n38040 57045\n68830 100000\n81669 100000\n61605 92409\n60166 90269\n39148 58679\n4009 6022\n96273 100000\n80243 100000\n61472 92215\n65187 97770\n78456 100000\n95790 100000\n28390 42578\n92017 100000\n81338 100000\n62781 94188\n10819 16228\n86455 100000\n75736 100000\n9908 14877\n62250 93383\n72567 100000\n56715 85059\n72889 100000\n8699 13053\n50212 75269\n42499 63744\n34314 51450\n46203 69273\n80522 100000\n94763 100000\n76361 100000\n87343 100000\n25719 38580\n73086 100000\n44398 66589\n33186 49766\n56440 84653\n12589 18888\n92358 100000\n53687 80461\n58882 88315\n6185 9313\n44305 66448\n52513 78701\n79975 100000\n39135 58659\n72212 100000\n99572 100000\n5709 8580\n27878 41811\n49193 73731\n35861 53767\n58053 87067\n96384 100000\n15611 23488\n48167 72178\n24976 37477\n93858 100000\n3482 5252\n76676 100000\n6833 10271\n75070 100000\n14199 21350\n1190 1800\n24109 36184\n13932 20948\n11750 17637\n35001 52498\n97935 100000\n28509 42761\n8183 12286\n47343 70967\n8907 13366\n33222 49820\n4908 7380\n69459 100000\n4693 7064\n63452 95162\n28779 43170\n27152 40705\n91900 100000\n42351 63521\n62915 94383\n25471 38216\n28868 43302\n30437 45662\n93639 100000\n37738 56586\n21877 32868\n80602 100000\n95454 100000\n22716 34094\n45797 68675\n12687 19043\n12845 19274\n68006 100000\n27670 41488\n94686 100000\n85683 100000\n34444 51654\n20799 31264\n89152 100000\n17566 26396\n14493 21787\n85747 100000\n41810 62722\n41058 61581\n55270 82883\n27060 40566\n82330 100000\n30459 45694\n98307 100000\n81187 100000\n96549 100000\n44671 66990\n25596 38392\n19772 29729\n629 963\n44416 66614\n35511 53246\n14631 22002\n66749 100000\n1842 2773\n62689 94047\n94477 100000\n58265 87391\n2396 3600\n97 152\n47688 71469\n73183 100000\n51690 77463\n54496 81696\n17958 26980\n79872 100000\n71902 100000\n59122 88675\n91663 100000\n14336 21557\n83667 100000\n94091 100000\n58593 87880\n89513 100000\n12394 18600\n42163 63244\n63116 94684\n77504 100000\n4224 6358\n46978 70415\n54958 82397\n79722 100000\n40297 60423\n98912 100000\n6731 10124\n97433 100000\n86044 100000\n36520 54755\n85892 100000\n92191 100000\n31052 46606\n58572 87850\n56054 84065\n20489 30794\n69425 100000\n4460 6713\n68101 100000\n86806 100000\n26107 39171\n76224 100000\n72662 100000\n86967 100000\n67072 100000\n59965 89974\n4202 6326\n73850 100000\n77696 100000\n45661 68483\n13398 20123\n30777 46189\n3242 4892\n82079 100000\n24201 36316\n64634 96940\n87509 100000\n51821 77667\n21411 32182\n94957 100000\n53348 79972\n40022 60009\n2834 4277\n64418 96612\n7670 11527\n79260 100000\n3462 5223\n91733 100000\n1023 1546\n44140 66205\n99168 100000\n23492 35247\n75885 100000\n15851 23835\n75680 100000\n96497 100000\n80865 100000\n91000 100000\n39098 58606\n97616 100000\n13613 20458\n80455 100000\n15581 23442\n5682 8537\n74213 100000\n78907 100000\n3639 5478\n29946 44908\n75670 100000\n18213 27365\n62903 94366\n9216 13822\n86911 100000\n98233 100000\n99727 100000\n36540 54783\n92441 100000\n32974 49454\n72339 100000\n52421 78565\n93300 100000\n11942 17923\n61179 91779\n64163 96232\n26905 40340\n34592 51883\n38217 57308\n37461 56168\n60833 91259\n47847 71699\n32693 49044\n26703 40051\n85448 100000\n72747 100000\n13233 19876\n45227 67835\n54462 81648\n80235 100000\n2117 3176\n78339 100000\n38412 57601\n54097 81079\n71928 100000\n27685 41511\n14194 21343\n29622 44415\n49258 73824\n42621 63928\n66812 100000\n2259 3394\n35571 53334\n96495 100000\n66299 99466\n36368 54533\n86927 100000\n67989 100000\n85511 100000\n55204 82785\n16758 25193\n21780 32718\n97552 100000\n91300 100000\n57521 86274\n89382 100000\n90892 100000\n47862 71721\n88014 100000\n95605 100000\n47195 70744\n14815 22290\n22789 34199\n82175 100000\n5381 8091\n99326 100000\n60692 91044\n56757 85116\n95565 100000\n95086 100000\n12315 18478\n39631 59427\n30557 45848\n94385 100000\n46074 69092\n8327 12501\n23016 34532\n92264 100000\n53897 80783\n42625 63932\n65759 98645\n41731 62598\n93135 100000\n17649 26516\n2823 4260\n90857 100000\n59868 89826\n13152 19752\n61730 92594\n93765 100000\n90117 100000\n64687 97022\n75498 100000\n54394 81539\n36846 55253\n19657 29553\n76276 100000\n99528 100000\n60837 91265\n42305 63454\n76707 100000\n87569 100000\n96708 100000\n52879 79253\n12984 19491\n41443 62161\n8274 12420\n24144 36234\n44771 67146\n80385 100000\n56680 85007\n68329 100000\n14089 21187\n12040 18075\n50481 75679\n35046 52561\n11032 16555\n98102 100000\n70410 100000\n22997 34505\n8944 13416\n53896 80781\n53640 80395\n70420 100000\n32779 49166\n14763 22214\n26556 39839\n56392 84582\n99867 100000\n5031 7565\n25659 38486\n97785 100000\n19914 29939\n41347 62018\n96317 100000\n32726 49091\n52016 77961\n72118 100000\n33081 49613\n40507 60743\n42306 63455\n76714 100000\n7355 11055\n32884 49321\n53972 80896\n74513 100000\n44225 66329\n96604 100000\n20746 31179\n54800 82159\n12966 19461\n48849 73218\n72361 100000\n43759 65638\n35658 53462\n12408 18620\n98153 100000\n51932 77831\n77066 100000\n45449 68163\n80481 100000\n54375 81507\n99376 100000\n94971 100000\n17939 26952\n45842 68743\n48281 72352\n63362 95032\n28676 43010\n98613 100000\n9917 14890\n65133 97689\n40208 60295\n58869 88292\n19671 29575\n8190 12298\n25710 38565\n83734 100000\n22914 34385\n6380 9614\n65024 97526\n91132 100000\n53778 80594\n38681 58003\n20657 31042\n85488 100000\n70463 100000\n2976 4493\n60947 91434\n61254 91884\n2312 3475\n57763 86632\n56104 84141\n45507 68252\n18167 27295\n81357 100000\n32143 48226\n11718 17591\n75594 100000\n16929 25443\n63483 95207\n76590 100000\n45211 67809\n92502 100000\n24097 36164\n41557 62334\n81809 100000\n32244 48378\n76948 100000\n88557 100000\n92332 100000\n15572 23430\n51292 76889\n18100 27190\n3767 5676\n6656 10012\n82550 100000\n25236 37871\n52508 78693\n10779 16166\n99664 100000\n79246 100000\n10307 15472\n88764 100000\n80297 100000\n23585 35390\n27547 41309\n36990 55464\n13985 21024\n73869 100000\n77093 100000\n54289 81370\n7758 11658\n54309 81402\n74281 100000\n79986 100000\n6212 9354\n3386 5112\n56917 85359\n73013 100000\n91145 100000\n20621 30989\n70258 100000\n78336 100000\n93676 100000\n46659 69944\n66831 100000\n54840 82223\n24924 37397\n32603 48901\n35410 53099\n91155 100000\n34418 51614\n73771 100000\n16880 25370\n62422 93651\n74792 100000\n85468 100000\n98720 100000\n62240 93369\n48792 73130\n14758 22206\n79160 100000\n21909 32911\n84831 100000\n75979 100000\n48530 72731\n23346 35036\n39590 59364\n44279 66410\n4279 6440\n57459 86184\n5119 7701\n73327 100000\n58061 87080\n53059 79525\n40896 61333\n6164 9279\n79990 100000\n6663 10021\n67191 100000\n86056 100000\n60020 90053\n44692 67025\n38274 57398\n4976 7486\n51194 76747\n80705 100000\n82452 100000\n32465 48705\n924 1405\n13749 20666\n97249 100000\n32824 49235\n49186 73722\n54392 81536\n79117 100000\n58500 87750\n82260 100000\n15630 23519\n42464 63692\n11956 17944\n73061 100000\n11219 16834\n21353 32095\n17243 25918\n56742 85095\n59784 89702\n71764 100000\n31839 47772\n77046 100000\n97639 100000\n48841 73207\n74023 100000\n78067 100000\n49588 74328\n86772 100000\n36653 54962\n55941 83893\n45218 67820\n33680 50503\n18929 28466\n45748 68609\n4251 6398\n90141 100000\n63638 95435\n14017 21075\n55266 82876\n16989 25528\n6000 9020\n4348 6547\n76574 100000\n43892 65828\n7297 10967\n10868 16304\n44117 66166\n87613 100000\n79154 100000\n90415 100000\n790 1200\n30406 45609\n12626 18944\n36686 55007\n32224 48344\n83105 100000\n43029 64530\n38200 57285\n20546 30870\n91025 100000\n30785 46202\n23298 34965\n72470 100000\n19393 29159\n38372 57539\n21161 31803\n7622 11454\n65112 97659\n15584 23447\n77736 100000\n19146 28791\n94218 100000\n11353 17039\n9171 13750\n86022 100000\n33198 49784\n18116 27216\n31598 47411\n99108 100000\n3805 5732\n51557 77267\n49892 74794\n75042 100000\n92338 100000\n22595 33915\n53790 80614\n89714 100000\n69641 100000\n22464 33720\n2893 4366\n1868 2813\n14279 21469\n76694 100000\n8081 12130\n204 313\n11367 17056\n16390 24642\n54880 82280\n21438 32225\n1102 1664\n9672 14512\n18286 27474\n75595 100000\n43744 65615\n62714 94083\n71483 100000\n2832 4274\n44796 67182\n72744 100000\n67733 100000\n47966 71879\n54658 81940\n15941 23967\n70781 100000\n92525 100000\n23357 35053\n19430 29214\n56051 84061\n85684 100000\n69166 100000\n92623 100000\n83965 100000\n80555 100000\n39794 59666\n52233 78280\n37866 56776\n42603 63902\n36161 54210\n2186 3286\n7234 10878\n20266 30466\n99605 100000\n12809 19221\n54567 81798\n13499 20281\n6543 9842\n49207 73753\n40501 60734\n9001 13497\n27442 41150\n81436 100000\n73960 100000\n30322 45471\n81190 100000\n94290 100000\n49408 74052\n94265 100000\n3460 5221\n59657 89505\n3413 5151\n79709 100000\n97263 100000\n90764 100000\n90459 100000\n68841 100000\n90614 100000\n38889 58305\n89742 100000\n79656 100000\n92155 100000\n68680 100000\n34797 52191\n97369 100000\n86322 100000\n15458 23261\n13434 20183\n17472 26259\n91702 100000\n59437 89155\n61101 91661\n94312 100000\n77809 100000\n48261 72318\n55998 83980\n3195 4819\n54618 81876\n75403 100000\n6612 9946\n22183 33315\n85566 100000\n49877 74776\n89660 100000\n946 1438\n73114 100000\n21667 32549\n68050 100000\n45772 68641\n82186 100000\n27501 41242\n90893 100000\n49813 74681\n29631 44430\n78257 100000\n11497 17255\n34826 52233\n28857 43286\n27892 41835\n19877 29883\n43081 64610\n40472 60692\n75804 100000\n75277 100000\n30898 46370\n73968 100000\n91498 100000\n51002 76457\n87936 100000\n45755 68617\n42483 63721\n95032 100000\n23386 35095\n70840 100000\n29707 44546\n20770 31218\n62029 93052\n24488 36746\n22445 33689\n19316 29036\n56308 84454\n41733 62602\n85236 100000\n62821 94249\n7980 11986\n69671 100000\n90317 100000\n50726 76047\n11486 17239\n59007 88502\n19606 29480\n96786 100000\n15136 22780\n6998 10521\n84927 100000\n37599 56378\n34086 51109\n42852 64270\n77893 100000\n33600 50383\n50607 75864\n4668 7027\n89656 100000\n69036 100000\n29019 43528\n5724 8600\n54622 81881\n11587 17390\n10570 15852\n78218 100000\n62981 94481\n9859 14796\n83329 100000\n5392 8105\n99118 100000\n31616 47438\n89784 100000\n10970 16456\n42386 63575\n89520 100000\n14271 21456\n76314 100000\n52138 78139\n54242 81293\n429 657\n57815 86710\n52020 77969\n16009 24071\n2613 3939\n37829 56723\n57219 85812\n53480 80159\n66972 100000\n76330 100000\n82494 100000\n4633 6976\n76456 100000\n76809 100000\n22885 34342\n69323 100000\n65389 98087\n12832 19255\n38824 58210\n55327 82968\n29628 44425\n6469 9735\n59361 89038\n7843 11782\n62657 93999\n28348 42515\n86262 100000\n81791 100000\n59232 88843\n98673 100000\n96896 100000\n78977 100000\n87527 100000\n85689 100000\n56077 84098\n1923 2891\n63320 94968\n13287 19950\n96320 100000\n51376 77013\n556 852\n35615 53397\n11305 16970\n46783 70126\n6628 9972\n67353 100000\n89042 100000\n6106 9186\n61990 92995\n94465 100000\n61653 92481\n48779 73113\n19979 30037\n35999 53969\n28527 42784\n78980 100000\n63816 95696\n93395 100000\n48031 71975\n77207 100000\n7230 10873\n72005 100000\n25391 38096\n20819 31297\n69548 100000\n72460 100000\n10304 15469\n29431 44142\n86184 100000\n20429 30704\n38575 57847\n9732 14603\n57881 86801\n61520 92279\n81905 100000\n24240 36372\n4962 7466\n97481 100000\n16576 24924\n7021 10556\n67787 100000\n23529 35303\n99609 100000\n51695 77471\n20176 30330\n18236 27400\n73503 100000\n23345 35035\n25408 38123\n48273 72338\n76051 100000\n58428 87645\n7139 10737\n56435 84647\n5895 8862\n36709 55043\n69001 100000\n17113 25710\n47598 71333\n9724 14591\n60274 90422\n63086 94642\n98150 100000\n67076 100000\n62533 93818\n71975 100000\n87834 100000\n49626 74385\n21902 32900\n34255 51363\n55666 83485\n7621 11452\n49416 74063\n47237 70803\n908 1379\n19546 29388\n20243 30432\n18713 28136\n64377 96551\n72535 100000\n63220 94825\n25898 38856\n11978 17978\n1299 1969\n79617 100000\n17406 26162\n31139 46730\n69111 100000\n49053 73526\n3180 4798\n56614 84911\n58613 87911\n32145 48229\n21031 31617\n28583 42867\n1560 2359\n9161 13734\n42378 63563\n77805 100000\n34071 51087\n18560 27893\n42626 63933\n49548 74269\n959 1455\n71623 100000\n82621 100000\n15481 23297\n59853 89802\n49356 73974\n61670 92508\n90006 100000\n36316 54453\n43371 65059\n1809 2722\n61894 92852\n14914 22435\n85500 100000\n43507 65264\n9140 13699\n9561 14346\n49421 74071\n25473 38219\n49318 73918\n53927 80829\n46804 70155\n51941 77845\n92609 100000\n79502 100000\n75169 100000\n25581 38371\n29543 44303\n69857 100000\n72963 100000\n22085 33168\n40889 61320\n55627 83426\n48678 72959\n47098 70595\n80814 100000\n12227 18357\n37012 55497\n19803 29778\n87044 100000\n99139 100000\n60702 91059\n89849 100000\n87109 100000\n22268 33428\n69114 100000\n22667 34027\n44596 66883\n13713 20613\n46357 69500\n4430 6670\n36192 54257\n55955 83916\n22724 34106\n43584 65378\n18488 27779\n23575 35375\n82460 100000\n52368 78482\n73561 100000\n34544 51808\n48063 72021\n50695 75999\n78374 100000\n92056 100000\n92957 100000\n61920 92889\n89456 100000\n74770 100000\n27107 40638\n99131 100000\n29360 44045\n95170 100000\n545 836\n10896 16346\n80831 100000\n11229 16850\n86013 100000\n46491 69692\n51709 77492\n92574 100000\n30564 45857\n41519 62276\n16663 25057\n84020 100000\n38703 58038\n64039 96041\n50829 76202\n37981 56953\n51179 76726\n29681 44506\n1331 2019\n19991 30056\n10311 15478\n94040 100000\n91564 100000\n508 778\n65627 98446\n75982 100000\n30790 46210\n67859 100000\n99585 100000\n43931 65890\n22671 34031\n47461 71129\n14181 21327\n91337 100000\n72449 100000\n94547 100000\n96523 100000\n62841 94281\n20557 30887\n10870 16308\n66785 100000\n43389 65088\n20092 30203\n88209 100000\n87264 100000\n50223 75286\n61900 92860\n62798 94211\n12440 18669\n98178 100000\n85725 100000\n20293 30504\n53715 80505\n45879 68797\n17556 26380\n72380 100000\n93650 100000\n18555 27884\n40418 60606\n6677 10044\n42452 63675\n82392 100000\n20198 30366\n63490 95218\n23424 35153\n72053 100000\n37938 56891\n79374 100000\n88564 100000\n41152 61718\n14109 21218\n86377 100000\n64960 97433\n51757 77564\n83694 100000\n75019 100000\n93383 100000\n65045 97559\n15788 23744\n20354 30600\n35366 53030\n83107 100000\n82456 100000\n32948 49419\n5067 7620\n57866 86777\n91163 100000\n78915 100000\n21361 32105\n25335 38016\n38044 57051\n60036 90078\n70940 100000\n95416 100000\n95387 100000\n62566 93864\n10325 15499\n32074 48126\n78745 100000\n86493 100000\n12912 19379\n58266 87393\n80395 100000\n449 687\n67454 100000\n99961 100000\n4742 7138\n20986 31549\n78182 100000\n25218 37844\n98886 100000\n82087 100000\n63212 94814\n71553 100000\n38699 58033\n89053 100000\n12288 18442\n52454 78611\n94982 100000\n7625 11458\n12858 19297\n96203 100000\n3504 5281\n87838 100000\n73302 100000\n12036 18067\n44306 66449\n96947 100000\n31150 46746\n60597 90904\n16592 24950\n61424 92141\n56690 85024\n65031 97537\n8550 12825\n66572 99867\n87941 100000\n10767 16147\n70689 100000\n24654 36989\n1301 1973\n68538 100000\n37939 56893\n53501 80190\n84503 100000\n61957 92949\n49461 74130\n44518 66766\n76208 100000\n34053 51060\n39197 58755\n58090 87124\n28024 42028\n7713 11586\n3768 5678\n82936 100000\n45228 67836\n89503 100000\n25246 37886\n78638 100000\n45696 68534\n88525 100000\n33440 50144\n89533 100000\n40187 60262\n58925 88380\n10852 16281\n86227 100000\n88474 100000\n57840 86739\n77466 100000\n1128 1704\n52551 78757\n92259 100000\n43646 65466\n83769 100000\n110 170\n49350 73966\n17424 26186\n30720 46098\n65869 98814\n87381 100000\n83709 100000\n87129 100000\n38959 58405\n18556 27886\n55973 83942\n40574 60847\n95182 100000\n7150 10755\n75828 100000\n18186 27323\n59914 89894\n38915 58345\n9907 14875\n5019 7546\n40803 61197\n22468 33726\n5202 7825\n70465 100000\n34078 51098\n70809 100000\n34894 52343\n51865 77731\n71458 100000\n58596 87884\n36382 54554\n3817 5746\n1392 2105\n72831 100000\n43485 65232\n80696 100000\n90829 100000\n37128 55667\n93445 100000\n44532 66787\n34645 51958\n98407 100000\n95404 100000\n61208 91821\n31047 46600\n8133 12212\n37497 56221\n78238 100000\n36094 54112\n48110 72093\n72207 100000\n91372 100000\n6904 10377\n76928 100000\n80873 100000\n26550 39831\n49706 74510\n458 702\n99590 100000\n14118 21230\n77503 100000\n28941 43413\n64281 96410\n7436 11171\n66946 100000\n48011 71946\n4447 6696\n34944 52411\n6261 9428\n35758 53608\n82707 100000\n3351 5057\n12283 18434\n97520 100000\n99058 100000\n33190 49772\n33843 50755\n31607 47426\n27033 40528\n36955 55409\n34460 51681\n51637 77382\n68474 100000\n59626 89453\n48753 73075\n47308 70911\n56219 84314\n194 298\n90514 100000\n34874 52310\n67510 100000\n67426 100000\n16848 25327\n76971 100000\n67835 100000\n93405 100000\n28051 42068\n82652 100000\n44994 67475\n70286 100000\n84565 100000\n90897 100000\n5969 8973\n9095 13632\n64733 97089\n68712 100000\n86586 100000\n93828 100000\n60574 90867\n63779 95640\n23036 34567\n59740 89635\n86245 100000\n7112 10695\n13547 20355\n34399 51587\n94132 100000\n49816 74686\n2496 3761\n31575 47375\n12920 19391\n53507 80200\n42012 63020\n66127 99212\n27483 41215\n73006 100000\n64313 96457\n59701 89571\n65005 97497\n75669 100000\n3933 5922\n97984 100000\n67728 100000\n40795 61184\n18616 27976\n20817 31294\n44584 66864\n36183 54245\n50225 75289\n41603 62401\n80822 100000\n60771 91165\n95659 100000\n65345 98019\n90723 100000\n91504 100000\n70261 100000\n11149 16730\n19643 29532\n77143 100000\n45080 67614\n15505 23330\n16074 24166\n58611 87907\n36862 55276\n23188 34799\n16156 24290\n23164 34764\n70161 100000\n46031 69025\n93802 100000\n29221 43822\n15436 23231\n87330 100000\n18622 27985\n49773 74618\n86401 100000\n27574 41348\n9136 13695\n44150 66219\n39483 59196\n87525 100000\n44798 67186\n57531 86288\n62184 93280\n21507 32326\n47256 70836\n54476 81668\n87674 100000\n77545 100000\n35420 53115\n95797 100000\n80166 100000\n70736 100000\n49509 74206\n15523 23357\n68451 100000\n88606 100000\n51852 77710\n53944 80855\n78115 100000\n98283 100000\n40287 60409\n44727 67081\n68067 100000\n46295 69409\n71002 100000\n144 221\n57899 86830\n42659 63977\n80004 100000\n57130 85677\n11555 17343\n46587 69836\n60153 90251\n50682 75981\n88902 100000\n9961 14954\n25955 38940\n22441 33683\n28564 42838\n61621 92432\n68198 100000\n22012 33060\n57380 86068\n64479 96704\n53234 79793\n10043 15072\n13548 20357\n76010 100000\n53244 79807\n79161 100000\n24668 37006\n48143 72145\n8519 12779\n35537 53285\n27532 41287\n45312 67964\n89216 100000\n32832 49247\n86634 100000\n39567 59329\n34130 51175\n35965 53922\n56424 84629\n51321 76931\n81985 100000\n8058 12096\n16421 24689\n10665 15996\n34046 51050\n17583 26419\n77410 100000\n78157 100000\n37452 56154\n92273 100000\n59307 88956\n72584 100000\n89663 100000\n68978 100000\n7337 11031\n38547 57808\n56267 84390\n10990 16487\n8660 12993\n99317 100000\n73075 100000\n45723 68573\n4197 6317\n55823 83717\n81871 100000\n55088 82606\n52937 79339\n20390 30651\n74564 100000\n35149 52715\n36479 54698\n32420 48641\n69423 100000\n23255 34899\n60942 91424\n75261 100000\n76542 100000\n63587 95360\n23634 35458\n75718 100000\n49975 74913\n62782 94190\n27212 40792\n14222 21387\n87310 100000\n77373 100000\n11127 16702\n2531 3815\n79220 100000\n89666 100000\n43449 65180\n85723 100000\n63091 94650\n51896 77776\n17165 25796\n3449 5204\n78178 100000\n99506 100000\n62328 93507\n19449 29241\n85497 100000\n42738 64100\n2154 3234\n99334 100000\n16350 24581\n22234 33384\n96737 100000\n848 1289\n28767 43152\n5438 8172\n82488 100000\n83385 100000\n23663 35502\n65008 97503\n68949 100000\n22704 34077\n16854 25337\n35839 53730\n74909 100000\n47056 70536\n44173 66251\n38574 57845\n47459 71127\n21396 32157\n97381 100000\n74576 100000\n13843 20807\n9891 14849\n37445 56142\n25183 37794\n94045 100000\n62637 93970\n29264 43889\n22253 33408\n89891 100000\n46411 69579\n89754 100000\n72576 100000\n50983 76429\n59243 88861\n78686 100000\n11715 17588\n85332 100000\n18023 27077\n56160 84226\n19465 29268\n85492 100000\n66212 99336\n52670 78939\n43019 64517\n4977 7487\n79064 100000\n80076 100000\n68480 100000\n33954 50918\n72855 100000\n77345 100000\n33790 50675\n41501 62249\n8947 13421\n51965 77882\n83778 100000\n64019 96008\n69263 100000\n17689 26576\n71042 100000\n16088 24188\n78895 100000\n83713 100000\n62101 93150\n98812 100000\n65296 97939\n59481 89228\n38370 57536\n56597 84888\n14176 21317\n88455 100000\n83886 100000\n66021 99046\n17919 26922\n97322 100000\n6964 10469\n66388 99599\n58986 88471\n53515 80213\n50709 76021\n81625 100000\n27417 41109\n26772 40150\n2116 3175\n43462 65201\n12918 19389\n71904 100000\n54089 81068\n10683 16018\n40625 60922\n18956 28505\n11066 16608\n80985 100000\n9846 14775\n43471 65214\n43899 65838\n53043 79499\n57412 86114\n86951 100000\n51377 77015\n62446 93685\n65709 98568\n57938 86890\n8775 13165\n11135 16713\n18253 27425\n84603 100000\n67724 100000\n49048 73517\n60328 90508\n94535 100000\n79614 100000\n2510 3782\n85989 100000\n4034 6059\n45277 67911\n45959 68913\n39858 59761\n86014 100000\n73065 100000\n97921 100000\n29798 44683\n9728 14597\n68751 100000\n47702 71487\n49840 74721\n64139 96196\n82933 100000\n25860 38799\n62512 93786\n44274 66403\n39831 59722\n99228 100000\n74020 100000\n60344 90531\n77984 100000\n18200 27346\n19834 29819\n96783 100000\n81733 100000\n25406 38120\n89432 100000\n1612 2430\n4865 7317\n57606 86398\n40667 60981\n59548 89329\n20495 30803\n34380 51559\n79105 100000\n68546 100000\n43461 65200\n50807 76168\n13689 20576\n8587 12884\n82384 100000\n23093 34662\n55062 82568\n48383 72504\n82855 100000\n38939 58374\n53098 79581\n75327 100000\n44110 66153\n11121 16694\n39425 59110\n37181 55749\n84807 100000\n19747 29691\n17687 26573\n43954 65927\n58621 87924\n87701 100000\n40226 60320\n96269 100000\n61099 91657\n47311 70916\n7888 11849\n42723 64072\n81888 100000\n97744 100000\n56904 85337\n15170 22826\n89271 100000\n65568 98353\n72582 100000\n87221 100000\n74019 100000\n94016 100000\n39264 58865\n20971 31526\n99946 100000\n83035 100000\n66132 99219\n85553 100000\n5344 8038\n22135 33244\n57458 86183\n4669 7028\n60929 91407\n49790 74645\n39092 58599\n45995 68968\n80016 100000\n33726 50574\n15259 22959\n52692 78968\n46281 69388\n29643 44448\n33656 50469\n3857 5804\n33057 49577\n89156 100000\n34816 52220\n55546 83305\n36153 54198\n53420 80074\n91048 100000\n44506 66750\n34781 52165\n96045 100000\n51079 76574\n57300 85941\n51593 77319\n50034 75000\n58229 87333\n58824 88227\n98183 100000\n54450 81630\n96136 100000\n59615 89435\n40863 61283\n548 840\n9268 13903\n93849 100000\n7013 10544\n7591 11410\n32525 48793\n28907 43358\n29998 44982\n56866 85281\n41012 61506\n1556 2354\n95822 100000\n98819 100000\n51506 77192\n81827 100000\n84047 100000\n46224 69304\n2788 4206\n33149 49712\n26589 39888\n67528 100000\n13156 19760\n84777 100000\n87210 100000\n58002 86987\n82234 100000\n72193 100000\n85856 100000\n22169 33293\n49950 74874\n19442 29231\n57433 86145\n85087 100000\n25828 38753\n20421 30693\n97909 100000\n10542 15814\n76762 100000\n73725 100000\n2119 3179\n40281 60400\n4305 6479\n98887 100000\n99134 100000\n21043 31635\n84923 100000\n14981 22537\n14077 21169\n56891 85317\n13936 20954\n55903 83835\n74184 100000\n91489 100000\n18093 27181\n25792 38696\n35869 53779\n65351 98030\n97280 100000\n42583 63870\n10634 15949\n85702 100000\n36263 54369\n1347 2042\n91119 100000\n69879 100000\n53151 79660\n44106 66147\n78291 100000\n94272 100000\n75749 100000\n9036 13547\n28196 42281\n29401 44101\n33872 50798\n44175 66254\n21467 32269\n680 1038\n38320 57465\n4289 6458\n15514 23342\n42671 63995\n47249 70823\n19002 28573\n94118 100000\n42859 64281\n31953 47939\n37765 56628\n3286 4959\n66413 99635\n54556 81785\n20887 31397\n61781 92674\n60312 90480\n39408 59082\n81230 100000\n95194 100000\n67457 100000\n48370 72484\n28004 41998\n27429 41128\n22657 34013\n46084 69103\n99222 100000\n62835 94271\n14889 22396\n22615 33945\n54302 81390\n22138 33248\n93939 100000\n29459 44181\n3612 5438\n52570 78783\n83297 100000\n36285 54407\n66112 99189\n27802 41698\n81788 100000\n72957 100000\n43135 64698\n2301 3459\n95110 100000\n51299 76898\n18522 27832\n12485 18732\n76118 100000\n8161 12253\n33418 50111\n1932 2906\n33828 50732\n85944 100000\n81718 100000\n76464 100000\n99693 100000\n34087 51110\n72052 100000\n61972 92972\n81276 100000\n2340 3521\n68270 100000\n23490 35244\n11754 17644\n57697 86535\n58138 87198\n3375 5095\n48064 72022\n72443 100000\n51008 76467\n47261 70845\n62921 94390\n9277 13915\n84138 100000\n65798 98707\n32269 48415\n1595 2405\n39073 58571\n26834 40239\n6550 9853\n19548 29391\n55001 82469\n4577 6892\n74244 100000\n89683 100000\n41402 62099\n55834 83735\n52028 77980\n43238 64852\n45257 67881\n78486 100000\n49142 73656\n84327 100000\n36849 55258\n52831 79181\n51055 76538\n28923 43385\n95227 100000\n20666 31054\n91657 100000\n52445 78600\n84576 100000\n69391 100000\n30624 45954\n72027 100000\n67779 100000\n48111 72095\n50896 76304\n7428 11160\n56835 85239\n57527 86282\n29295 43938\n59173 88755\n27946 41915\n90424 100000\n31169 46780\n59494 89250\n28165 42237\n94209 100000\n57686 86520\n79296 100000\n10698 16041\n60519 90787\n9568 14356\n45839 68740\n32485 48737\n70833 100000\n90277 100000\n40862 61282\n86349 100000\n84937 100000\n95922 100000\n75812 100000\n9973 14967\n58336 87506\n32921 49380\n84430 100000\n39642 59444\n52009 77950\n64184 96264\n62180 93272\n67391 100000\n62831 94265\n34040 51041\n6172 9294\n78873 100000\n34308 51442\n61186 91787\n11623 17444\n34403 51592\n15965 24006\n64348 96509\n43641 65460\n53845 80702\n8290 12442\n79987 100000\n56105 84142\n84213 100000\n61762 92644\n10615 15920\n87893 100000\n26879 40303\n3692 5559\n95173 100000\n83321 100000\n18654 28036\n97308 100000\n97497 100000\n80373 100000\n55370 83033\n36291 54414\n35883 53800\n70795 100000\n43076 64604\n7131 10725\n9498 14249\n95481 100000\n2356 3543\n68569 100000\n75109 100000\n71484 100000\n40240 60342\n95434 100000\n41325 61987\n93045 100000\n17112 25708\n47832 71677\n1487 2251\n11778 17681\n40674 60991\n12883 19335\n87288 100000\n39421 59103\n30719 46097\n2808 4236\n99857 100000\n31663 47509\n1947 2929\n84425 100000\n59699 89568\n32985 49470\n38160 57224\n68727 100000\n66586 99890\n76111 100000\n37022 55514\n35008 52509\n16260 24447\n98785 100000\n37020 55510\n92374 100000\n67928 100000\n99820 100000\n29708 44548\n84472 100000\n94657 100000\n98695 100000\n98252 100000\n51696 77472\n45072 67603\n59108 88652\n62609 93927\n93529 100000\n73449 100000\n69884 100000\n35478 53201\n98374 100000\n19924 29957\n25951 38935\n61992 92998\n60063 90116\n94069 100000\n32669 49004\n68771 100000\n67089 100000\n34882 52323\n15784 23737\n96233 100000\n47026 70490\n39678 59497\n78628 100000\n6858 10307\n80991 100000\n74357 100000\n43198 64788\n2098 3149\n55330 82972\n74299 100000\n13112 19690\n60398 90614\n47928 71821\n82727 100000\n46035 69032\n66731 100000\n48263 72321\n15334 23074\n48657 72927\n72872 100000\n91305 100000\n94062 100000\n29941 44900\n65462 98189\n89165 100000\n14377 21614\n24854 37291\n63335 94991\n79340 100000\n76238 100000\n16749 25181\n87617 100000\n61423 92140\n65726 98594\n99513 100000\n74171 100000\n5878 8839\n61779 92671\n17133 25744\n5074 7632\n3852 5796\n63255 94879\n45908 68844\n51273 76864\n53582 80306\n4490 6754\n86897 100000\n72080 100000\n34932 52395\n75640 100000\n7020 10554\n9799 14705\n64042 96046\n29733 44584\n8329 12503\n31800 47714\n91627 100000\n88508 100000\n99986 100000\n65025 97528\n68889 100000\n63891 95815\n92966 100000\n67231 100000\n22509 33787\n96908 100000\n12059 18105\n84091 100000\n56390 84580\n9524 14287\n9372 14062\n21016 31597\n90151 100000\n40140 60189\n98536 100000\n176 269\n17336 26061\n9050 13567\n54697 81999\n35627 53415\n86341 100000\n78372 100000\n85403 100000\n94507 100000\n20310 30532\n16167 24306\n18819 28301\n816 1241\n48059 72017\n48258 72312\n79388 100000\n49602 74350\n39131 58654\n63214 94818\n98317 100000\n56924 85372\n73794 100000\n61704 92554\n26527 39795\n79620 100000\n69033 100000\n90606 100000\n3192 4816\n46037 69036\n97002 100000\n78800 100000\n87344 100000\n27359 41014\n53853 80713\n33695 50525\n16740 25169\n97937 100000\n27992 41978\n7255 10908\n67573 100000\n97760 100000\n79601 100000\n15839 23817\n4843 7284\n50748 76083\n20462 30754\n95090 100000\n40179 60250\n61265 91902\n83222 100000\n91345 100000\n21900 32896\n17107 25701\n58558 87830\n42435 63650\n51743 77544\n82273 100000\n36894 55320\n38107 57141\n98730 100000\n5434 8167\n67750 100000\n80781 100000\n40552 60809\n42387 63576\n28183 42262\n30902 46376\n91950 100000\n63296 94933\n7259 10914\n30221 45323\n14429 21692\n67826 100000\n85932 100000\n7473 11229\n6840 10284\n77846 100000\n20381 30639\n6072 9134\n55048 82547\n89079 100000\n52449 78605\n42526 63785\n44676 66998\n16602 24965\n70487 100000\n98109 100000\n78981 100000\n83579 100000\n89840 100000\n59368 89046\n35982 53945\n28829 43242\n22730 34113\n23713 35577\n23720 35588\n29697 44530\n80594 100000\n88931 100000\n14917 22440\n79534 100000\n14555 21883\n81069 100000\n18767 28220\n58133 87191\n89555 100000\n93247 100000\n53793 80619\n32555 48837\n76864 100000\n13715 20617\n16251 24434\n2875 4338\n28621 42924\n34292 51417\n3679 5541\n74699 100000\n43694 65540\n55586 83364\n83870 100000\n22066 33137\n89325 100000\n18583 27926\n20093 30204\n98766 100000\n3418 5158\n51116 76632\n4702 7077\n92798 100000\n81746 100000\n39840 59734\n54874 82271\n94772 100000\n11318 16990\n35660 53465\n90814 100000\n97407 100000\n12116 18185\n16343 24571\n80416 100000\n78532 100000\n98522 100000\n83853 100000\n78489 100000\n85057 100000\n55029 82517\n67098 100000\n67821 100000\n12850 19282\n85462 100000\n99941 100000\n16651 25038\n51278 76872\n14592 21940\n73688 100000\n80440 100000\n59790 89709\n85171 100000\n76866 100000\n50777 76124\n95573 100000\n7023 10560\n9257 13887\n92028 100000\n874 1326\n71011 100000\n64679 97009\n3915 5894\n98124 100000\n94017 100000\n38973 58425\n99987 100000\n31400 47113\n58296 87444\n59327 88987\n10016 15034\n71856 100000\n86774 100000\n69184 100000\n15026 22606\n90787 100000\n79175 100000\n71673 100000\n52567 78780\n67155 100000\n84785 100000\n25900 38859\n58126 87181\n92716 100000\n42472 63705\n7132 10727\n58762 88139\n95412 100000\n78741 100000\n27944 41912\n81658 100000\n88991 100000\n13081 19643\n39388 59055\n45451 68165\n69753 100000\n82180 100000\n36713 55051\n74924 100000\n43712 65568\n33501 50234\n93595 100000\n53053 79515\n61647 92472\n82777 100000\n1106 1670\n14051 21128\n46343 69482\n65973 98970\n75069 100000\n46132 69175\n44358 66528\n45417 68116\n15914 23929\n40193 60271\n14505 21805\n92077 100000\n30303 45444\n57703 86543\n85061 100000\n50927 76348\n82128 100000\n4554 6854\n48962 73386\n19295 29003\n64086 96112\n75753 100000\n23417 35142\n50369 75513\n39902 59826\n71409 100000\n36428 54620\n86159 100000\n35996 53964\n80418 100000\n63867 95777\n87137 100000\n60931 91409\n31611 47432\n86102 100000\n40479 60704\n67723 100000\n94743 100000\n63213 94816\n45003 67489\n40030 60021\n55794 83681\n95244 100000\n77880 100000\n16488 24795\n39201 58763\n81970 100000\n5564 8363\n87656 100000\n55968 83937\n11283 16933\n59873 89833\n37559 56312\n88362 100000\n65895 98858\n58622 87926\n31994 48005\n16472 24770\n3448 5203\n74173 100000\n1058 1597\n44348 66513\n71812 100000\n94828 100000\n95163 100000\n31633 47463\n60528 90802\n77922 100000\n79767 100000\n1830 2752\n10066 15109\n26404 39612\n85922 100000\n416 638\n20673 31066\n89263 100000\n32321 48487\n2606 3928\n8064 12105\n50904 76317\n86200 100000\n87751 100000\n71527 100000\n56006 83995\n41714 62572\n7412 11138\n13931 20947\n82043 100000\n62958 94445\n51457 77125\n83680 100000\n83432 100000\n98907 100000\n23972 35977\n20010 30086\n77398 100000\n26467 39706\n41365 62047\n27598 41382\n71808 100000\n80324 100000\n64026 96020\n35920 53855\n8239 12371\n81478 100000\n92239 100000\n4135 6222\n63925 95866\n61335 92012\n86386 100000\n14641 22020\n54020 80964\n3512 5291\n47510 71198\n62318 93489\n91289 100000\n69931 100000\n2036 3059\n30957 46463\n51874 77747\n98297 100000\n69241 100000\n88787 100000\n2444 3678\n34748 52117\n85192 100000\n89843 100000\n30407 45610\n12738 19116\n86032 100000\n36802 55196\n34752 52124\n67703 100000\n97205 100000\n92039 100000\n33415 50106\n43889 65822\n3498 5274\n37937 56889\n52795 79124\n39034 58515\n36618 54910\n49039 73504\n93280 100000\n9080 13611\n22217 33362\n80679 100000\n54503 81706\n59975 89991\n89963 100000\n15269 22978\n34732 52089\n73955 100000\n25547 38322\n96813 100000\n46009 68989\n9074 13602\n57348 86016\n14468 21755\n45925 68862\n82952 100000\n47379 71019\n48611 72858\n25633 38447\n88402 100000\n18124 27228\n20811 31284\n91955 100000\n76465 100000\n83004 100000\n23136 34725\n7134 10729\n23128 34710\n26781 40165\n15015 22589\n74380 100000\n62469 93720\n86516 100000\n57959 86920\n94580 100000\n9022 13529\n57361 86036\n765 1165\n57118 85659\n9998 15007\n66069 99122\n25538 38307\n10861 16294\n30500 45754\n96929 100000\n83747 100000\n50734 76061\n32531 48802\n37881 56800\n31049 46602\n37301 55931\n11977 17977\n70479 100000\n26900 40333\n40571 60843\n81009 100000\n92007 100000\n12568 18858\n22887 34344\n81346 100000\n37885 56806\n82156 100000\n5073 7630\n9639 14461\n54644 81914\n85054 100000\n12457 18692\n98982 100000\n12202 18323\n74260 100000\n14318 21526\n1169 1770\n58159 87230\n79761 100000\n17585 26422\n83238 100000\n99037 100000\n1101 1662\n28882 43322\n81522 100000\n92752 100000\n88110 100000\n74922 100000\n61699 92548\n91666 100000\n55134 82681\n40720 61063\n16193 24348\n68523 100000\n6962 10466\n14689 22095\n98980 100000\n13550 20359\n62325 93501\n18829 28314\n81696 100000\n64534 96787\n56719 85064\n61278 91921\n21525 32352\n91007 100000\n70375 100000\n59843 89788\n33631 50430\n9185 13770\n93484 100000\n69985 100000\n43875 65800\n94876 100000\n7873 11826\n13220 19857\n8308 12470\n70364 100000\n79753 100000\n73900 100000\n48547 72759\n46865 70244\n35384 53059\n41579 62365\n92296 100000\n56837 85242\n72929 100000\n57648 86462\n90496 100000\n72905 100000\n42322 63480\n46459 69648\n3764 5672\n59755 89660\n84377 100000\n42329 63490\n77004 100000\n7219 10857\n53433 80095\n74569 100000\n82742 100000\n38189 57270\n5850 8796\n46181 69244\n5559 8355\n23842 35774\n47171 70708\n65466 98196\n48134 72128\n69893 100000\n17409 26166\n95431 100000\n67483 100000\n93072 100000\n48190 72212\n36723 55068\n8773 13161\n57292 85929\n90025 100000\n15483 23300\n63381 95059\n54489 81687\n45560 68334\n8265 12409\n18565 27902\n40128 60172\n53955 80871\n20558 30889\n62817 94243\n75681 100000\n82195 100000\n95876 100000\n35567 53327\n87901 100000\n9078 13608\n83679 100000\n75120 100000\n89962 100000\n51908 77792\n79278 100000\n72999 100000\n59709 89584\n7295 10965\n60107 90190\n38238 57341\n13828 20786\n38033 57034\n86078 100000\n54275 81348\n95273 100000\n76124 100000\n75882 100000\n95719 100000\n29722 44567\n55801 83691\n8406 12617\n16785 25231\n49835 74712\n75240 100000\n15980 24024\n89835 100000\n56530 84787\n45423 68125\n27218 40802\n3324 5017\n26623 39942\n70965 100000\n98016 100000\n16700 25112\n16072 24164\n47740 71547\n90079 100000\n4858 7304\n19417 29193\n90074 100000\n72173 100000\n93349 100000\n52362 78475\n48910 73310\n45421 68122\n37943 56897\n75404 100000\n96621 100000\n59593 89401\n95869 100000\n13591 20424\n10690 16027\n48814 73164\n67719 100000\n97272 100000\n7941 11934\n44026 66033\n67106 100000\n47590 71319\n14637 22013\n21690 32580\n35433 53134\n10352 15534\n12641 18969\n86440 100000\n74951 100000\n6569 9879\n20444 30724\n73757 100000\n20269 30469\n31539 47320\n78030 100000\n88706 100000\n17522 26328\n22129 33234\n80988 100000\n80759 100000\n11368 17057\n62129 93190\n65724 98591\n97215 100000\n43201 64792\n66092 99156\n32827 49239\n13338 20031\n28040 42052\n15756 23699\n21728 32641\n39023 58499\n36284 54405\n71914 100000\n44266 66390\n84988 100000\n71246 100000\n13463 20227\n11541 17323\n57426 86132\n65048 97565\n66240 99380\n341 525\n43160 64734\n9862 14801\n69964 100000\n86183 100000\n85089 100000\n28354 42524\n25167 37770\n47445 71108\n93779 100000\n8639 12964\n97824 100000\n94604 100000\n15219 22895\n70732 100000\n19845 29836\n31371 47070\n86089 100000\n29303 43951\n41359 62036\n84169 100000\n55760 83632\n84025 100000\n44209 66302\n31017 46555\n43663 65493\n85367 100000\n83439 100000\n52208 78245\n24429 36661\n1120 1690\n84481 100000\n62128 93188\n17072 25648\n20909 31433\n65394 98093\n4812 7243\n36118 54147\n40943 61404\n6393 9635\n77647 100000\n16812 25273\n51413 77065\n37121 55658\n24271 36422\n77663 100000\n30363 45536\n34257 51366\n11705 17574\n65515 98272\n97102 100000\n64117 96159\n84956 100000\n77900 100000\n16435 24711\n46456 69642\n11274 16918\n93410 100000\n94300 100000\n9680 14524\n28839 43259\n50334 75455\n63667 95479\n35803 53678\n54894 82301\n36454 54659\n79141 100000\n19966 30019\n19978 30036\n25587 38379\n88928 100000\n13131 19716\n36348 54502\n30513 45777\n21015 31595\n58407 87613\n42165 63248\n63153 94735\n88475 100000\n37845 56747\n83137 100000\n54354 81471\n36950 55403\n53757 80567\n18061 27134\n92620 100000\n11369 17059\n51311 76915\n33478 50200\n49568 74299\n3143 4739\n432 661\n85416 100000\n29992 44974\n35489 53215\n41845 62777\n14640 22019\n12060 18106\n9079 13610\n43100 64642\n82332 100000\n5251 7895\n12531 18800\n66047 99088\n12812 19225\n79261 100000\n88257 100000\n72572 100000\n80 125\n34245 51349\n3945 5937\n97673 100000\n58941 88406\n67926 100000\n22359 33559\n34517 51766\n9308 13968\n40560 60823\n53720 80513\n7290 10959\n94800 100000\n61580 92371\n91187 100000\n54256 81316\n9055 13574\n64891 97321\n1529 2314\n2611 3936\n99463 100000\n43602 65403\n12272 18420\n26342 39524\n30065 45080\n84258 100000\n11688 17547\n12915 19384\n82641 100000\n2384 3585\n73547 100000\n34067 51081\n9275 13912\n8770 13158\n13765 20690\n26931 40378\n45063 67587\n14121 21234\n69007 100000\n99236 100000\n14415 21671\n4734 7127\n56442 84656\n16709 25125\n17344 26073\n75814 100000\n55425 83111\n12678 19029\n88003 100000\n7296 10966\n6796 10217\n21850 32827\n50147 75163\n93288 100000\n72079 100000\n22610 33939\n62773 94175\n11182 16779\n43026 64525\n76446 100000\n69601 100000\n90135 100000\n98621 100000\n74925 100000\n814 1237\n15648 23544\n41634 62448\n55507 83244\n53460 80133\n91467 100000\n82024 100000\n15734 23670\n28504 42753\n67079 100000\n74696 100000\n95525 100000\n94190 100000\n69095 100000\n94806 100000\n24575 36869\n46326 69457\n64194 96279\n79008 100000\n63377 95054\n41318 61978\n54576 81813\n9239 13858\n64963 97437\n51392 77037\n66950 100000\n85819 100000\n78824 100000\n97847 100000\n27163 40722\n46365 69510\n7549 11346\n83513 100000\n64526 96774\n11548 17334\n30400 45600\n88349 100000\n18266 27443\n50832 76205\n62479 93733\n44052 66070\n52236 78284\n20434 30711\n38219 57311\n13903 20901\n30509 45769\n5280 7937\n19974 30030\n15128 22769\n75925 100000\n82506 100000\n12680 19032\n85991 100000\n36937 55385\n256 394\n99695 100000\n37537 56276\n50134 75147\n69531 100000\n95072 100000\n29334 44004\n59502 89263\n52267 78331\n99173 100000\n61925 92898\n19929 29964\n63643 95444\n82916 100000\n7047 10595\n55442 83140\n89466 100000\n82507 100000\n59316 88970\n38312 57455\n98222 100000\n73528 100000\n16285 24482\n83594 100000\n27034 40529\n91165 100000\n44522 66771\n16648 25034\n33742 50596\n81234 100000\n1125 1699\n77884 100000\n16631 25009\n18640 28013\n23362 35059\n64212 96308\n75021 100000\n86728 100000\n87278 100000\n26144 39226\n74507 100000\n70270 100000\n78290 100000\n9464 14191\n93306 100000\n10815 16221\n35930 53867\n45883 68804\n52170 78187\n43186 64772\n76215 100000\n44894 67330\n73473 100000\n23556 35344\n58142 87204\n93821 100000\n75231 100000\n30204 45299\n93354 100000\n42230 63352\n67517 100000\n89619 100000\n9821 14737\n83600 100000\n19913 29937\n54971 82418\n71620 100000\n6944 10436\n52101 78087\n27331 40970\n51093 76596\n51364 76993\n15697 23615\n52503 78686\n25463 38205\n94169 100000\n57477 86208\n2524 3803\n9637 14458\n75424 100000\n40524 60766\n77267 100000\n92960 100000\n26711 40062\n13812 20764\n79615 100000\n92109 100000\n40666 60980\n26048 39081\n72075 100000\n68186 100000\n60239 90368\n11699 17565\n97160 100000\n46832 70196\n25358 38046\n46496 69702\n35504 53236\n6492 9770\n15279 22994\n52936 79337\n45330 67991\n82651 100000\n55478 83197\n6359 9583\n71911 100000\n92462 100000\n773 1178\n55044 82542\n13306 19979\n2796 4218\n40196 60277\n4981 7493\n83682 100000\n5523 8299\n87367 100000\n87741 100000\n95682 100000\n25993 38994\n42494 63738\n51530 77226\n53765 80578\n9460 14185\n16527 24851\n68152 100000\n10722 16079\n70096 100000\n31153 46752\n2684 4041\n29967 44940\n25697 38541\n51460 77128\n57161 85723\n14842 22329\n69347 100000\n67394 100000\n29538 44298\n62452 93696\n4157 6257\n75801 100000\n4676 7040\n61193 91798\n30956 46462\n41474 62208\n76311 100000\n79680 100000\n83512 100000\n27909 41858\n49442 74102\n78401 100000\n66086 99147\n94468 100000\n42864 64290\n78459 100000\n51969 77889\n24440 36676\n16233 24407\n9608 14418\n35841 53733\n8960 13440\n55333 82975\n99424 100000\n93303 100000\n64894 97326\n95066 100000\n82645 100000\n20328 30559\n49518 74220\n45571 68349\n73727 100000\n92854 100000\n77991 100000\n59603 89417\n38441 57647\n99458 100000\n25618 38425\n13155 19758\n55459 83167\n30923 46411\n76994 100000\n18684 28086\n61406 92115\n63185 94779\n22507 33784\n90575 100000\n53431 80092\n91282 100000\n25533 38301\n48610 72857\n84541 100000\n3599 5419\n85627 100000\n43968 65948\n8181 12284\n41759 62643\n77716 100000\n72445 100000\n10735 16100\n84534 100000\n36033 54022\n3126 4713\n37964 56926\n80470 100000\n43601 65402\n21274 31978\n52743 79047\n5100 7673\n81752 100000\n75634 100000\n10251 15389\n28896 43341\n76652 100000\n64492 96720\n74678 100000\n95563 100000\n49837 74716\n31074 46639\n84427 100000\n31773 47674\n23145 34738\n35136 52696\n86024 100000\n65294 97936\n49866 74759\n9707 14565\n71279 100000\n94311 100000\n28910 43364\n1339 2030\n56689 85022\n55412 83093\n86107 100000\n57271 85897\n12765 19155\n18265 27442\n52830 79179\n44942 67400\n96238 100000\n55239 82835\n68622 100000\n47568 71284\n58399 87602\n42900 64339\n63073 94621\n73281 100000\n72468 100000\n40207 60294\n1678 2529\n55698 83533\n92257 100000\n21701 32595\n79967 100000\n59674 89530\n87328 100000\n6055 9109\n5970 8975\n73626 100000\n54072 81043\n36191 54256\n34530 51786\n85887 100000\n55276 82892\n87654 100000\n93820 100000\n21754 32681\n41781 62677\n28715 43068\n54838 82220\n52085 78066\n57367 86046\n42660 63978\n4282 6444\n26231 39356\n78831 100000\n39344 58990\n16052 24136\n83818 100000\n73162 100000\n48277 72344\n32146 48231\n77338 100000\n77725 100000\n86555 100000\n49432 74087\n26604 39911\n66355 99549\n31472 47220\n18252 27424\n63677 95492\n31119 46701\n99535 100000\n58196 87284\n64775 97149\n9770 14662\n63958 95910\n3069 4634\n27168 40730\n27497 41236\n28065 42089\n67366 100000\n34091 51115\n66365 99564\n80476 100000\n1862 2803\n39416 59095\n4239 6380\n72387 100000\n88562 100000\n57679 86511\n1871 2816\n53295 79887\n80321 100000\n16683 25086\n13634 20490\n18832 28318\n71064 100000\n74697 100000\n47421 71073\n93829 100000\n63712 95542\n14311 21515\n17498 26294\n29421 44127\n64839 97244\n64335 96489\n35103 52645\n74438 100000\n26812 40208\n10984 16478\n45321 67977\n58311 87466\n56595 84884\n79724 100000\n16191 24344\n41523 62283\n30182 45267\n92203 100000\n19828 29810\n43852 65769\n95801 100000\n48968 73394\n4704 7079\n53288 79877\n18499 27796\n67851 100000\n12358 18547\n39990 59957\n27264 40873\n92505 100000\n51480 77155\n53574 80295\n8270 12415\n28980 43472\n1645 2482\n78425 100000\n28761 43144\n72245 100000\n83541 100000\n19750 29695\n62825 94256\n98599 100000\n66639 99970\n11613 17429\n8993 13486\n28121 42169\n68253 100000\n83450 100000\n3080 4648\n9550 14328\n43266 64894\n41594 62387\n36884 55305\n73010 100000\n76169 100000\n15078 22690\n99434 100000\n82161 100000\n61460 92196\n87009 100000\n13377 20088\n36601 54884\n19808 29783\n31399 47112\n28665 42994\n83375 100000\n80554 100000\n87376 100000\n35348 53001\n23671 35514\n22765 34165\n50402 75562\n42271 63405\n47835 71680\n51459 77127\n54374 81505\n65670 98510\n84054 100000\n13166 19775\n29466 44190\n22331 33520\n29325 43988\n7991 12001\n9032 13542\n90957 100000\n62567 93865\n37988 56964\n33541 50294\n32452 48686\n42166 63249\n99747 100000\n87535 100000\n9081 13613\n76655 100000\n63832 95721\n37725 56565\n11863 17805\n40073 60087\n84200 100000\n6001 9021\n15405 23180\n98431 100000\n68959 100000\n69043 100000\n6885 10349\n5757 8649\n23341 35029\n82556 100000\n23912 35882\n89138 100000\n65240 97853\n19821 29801\n17516 26319\n72706 100000\n78053 100000\n79274 100000\n15979 24022\n67796 100000\n19025 28607\n9233 13851\n54301 81388\n73544 100000\n84262 100000\n43980 65964\n23703 35563\n52517 78707\n31769 47670\n2414 3629\n58075 87101\n93130 100000\n72294 100000\n48838 73201\n95636 100000\n79271 100000\n84791 100000\n8391 12597\n39288 58903\n135 208\n92164 100000\n71014 100000\n71741 100000\n5459 8205\n74465 100000\n68784 100000\n32473 48717\n19916 29941\n63692 95512\n76170 100000\n50942 76370\n38287 57418\n76460 100000\n90472 100000\n88002 100000\n3772 5686\n8854 13287\n98780 100000\n17027 25581\n37204 55781\n96574 100000\n72214 100000\n1232 1868\n86471 100000\n82534 100000\n67465 100000\n69907 100000\n98166 100000\n12422 18641\n32209 48322\n30772 46180\n83626 100000\n12751 19137\n58957 88431\n47826 71668\n38642 57943\n48515 72707\n69501 100000\n7088 10658\n91773 100000\n97415 100000\n71737 100000\n98368 100000\n49334 73940\n50936 76360\n25100 37672\n97630 100000\n55335 82979\n63963 95917\n35210 52804\n97716 100000\n55260 82867\n51735 77533\n66536 99820\n51956 77869\n83259 100000\n92711 100000\n92424 100000\n74249 100000\n93491 100000\n77577 100000\n70914 100000\n4345 6541\n36313 54447\n72739 100000\n49637 74404\n27274 40886\n45861 68769\n45926 68863\n52216 78257\n59930 89918\n56520 84774\n4344 6540\n28536 42796\n53563 80281\n62374 93578\n90100 100000\n23440 35176\n54133 81138\n89587 100000\n41981 62975\n38750 58108\n25946 38928\n632 967\n64678 97007\n19205 28872\n15705 23627\n35895 53819\n89495 100000\n48754 73077\n1211 1835\n44999 67483\n5404 8121\n87610 100000\n49838 74717\n36805 55200\n76509 100000\n45438 68146\n96808 100000\n73882 100000\n67137 100000\n23296 34962\n81437 100000\n66322 99498\n23643 35471\n90687 100000\n95493 100000\n10105 15167\n37038 55537\n31955 47943\n28232 42337\n18246 27414\n11304 16969\n8354 12544\n51476 77149\n34361 51530\n69568 100000\n18071 27151\n81468 100000\n59402 89096\n61587 92381\n90783 100000\n87029 100000\n49727 74545\n38156 57217\n2871 4332\n56421 84625\n15993 24046\n45305 67955\n44515 66762\n25135 37722\n60194 90307\n77560 100000\n72255 100000\n69822 100000\n54788 82141\n94622 100000\n81956 100000\n28254 42369\n93774 100000\n93092 100000\n89023 100000\n96450 100000\n27221 40807\n54420 81582\n16205 24366\n95390 100000\n67621 100000\n62510 93782\n86535 100000\n54065 81033\n22303 33481\n99654 100000\n31684 47541\n83560 100000\n78047 100000\n10809 16212\n8731 13099\n55072 82582\n88964 100000\n37244 55846\n11673 17522\n7187 10809\n81497 100000\n41560 62339\n38666 57980\n23125 34706\n90752 100000\n3931 5918\n49499 74190\n3348 5053\n5654 8499\n74681 100000\n60366 90565\n83327 100000\n14928 22457\n80677 100000\n22981 34483\n17183 25826\n86353 100000\n94516 100000\n70166 100000\n68834 100000\n18692 28101\n41621 62427\n28532 42792\n46907 70306\n96152 100000\n58931 88390\n41943 62923\n90040 100000\n76289 100000\n23271 34923\n34315 51451\n21846 32820\n32728 49095\n16559 24902\n44566 66835\n35415 53107\n43140 64707\n40236 60335\n96225 100000\n40328 60470\n93220 100000\n86661 100000\n39770 59632\n61188 91790\n78961 100000\n93343 100000\n16202 24362\n54668 81957\n29151 43719\n22828 34257\n5807 8727\n7574 11386\n72210 100000\n45361 68038\n70102 100000\n48348 72453\n36220 54300\n13861 20837\n54415 81573\n29084 43617\n57584 86365\n93954 100000\n93766 100000\n96216 100000\n85935 100000\n96188 100000\n21392 32151\n70509 100000\n2318 3487\n29800 44687\n88326 100000\n93908 100000\n4222 6355\n66894 100000\n12183 18289\n23166 34767\n53766 80579\n70480 100000\n83790 100000\n6382 9618\n36114 54140\n93888 100000\n51655 77410\n66603 99916\n10749 16122\n25668 38498\n45816 68704\n66379 99586\n58906 88352\n38134 57180\n99316 100000\n41413 62117\n79276 100000\n55313 82951\n29399 44099\n84736 100000\n90965 100000\n84886 100000\n21261 31959\n6682 10051\n12314 18477\n77971 100000\n81672 100000\n65188 97772\n76367 100000\n3646 5491\n94952 100000\n28625 42930\n23059 34606\n10137 15216\n32644 48963\n87455 100000\n49220 73772\n56366 84539\n55711 83554\n51206 76769\n38587 57862\n95298 100000\n72034 100000\n5486 8245\n66000 99015\n35609 53388\n33852 50767\n51360 76988\n47646 71407\n38492 57725\n90623 100000\n72008 100000\n51001 76456\n5147 7742\n33148 49711\n46653 69935\n38069 57085\n95843 100000\n36733 55086\n20473 30769\n97119 100000\n74197 100000\n62120 93176\n25438 38167\n58215 87314\n64525 96773\n10650 15974\n16031 24105\n97359 100000\n652 995\n72196 100000\n36405 54588\n54548 81775\n25090 37657\n5821 8751\n46728 70043\n65182 97764\n53137 79639\n30107 45147\n48549 72763\n77947 100000\n54351 81466\n11658 17498\n60062 90114\n41887 62840\n69944 100000\n13971 21005\n51742 77542\n75523 100000\n42674 63998\n1715 2583\n88642 100000\n9534 14306\n21586 32440\n8221 12345\n72124 100000\n74638 100000\n1127 1703\n2019 3036\n62762 94157\n15460 23265\n72526 100000\n25817 38734\n69128 100000\n20641 31021\n35564 53323\n87887 100000\n88539 100000\n78333 100000\n39887 59803\n94082 100000\n81240 100000\n96223 100000\n18068 27147\n41076 61607\n99046 100000\n66206 99326\n88574 100000\n69746 100000\n73627 100000\n45390 68081\n63628 95422\n61133 91707\n70649 100000\n77028 100000\n32764 49145\n14584 21925\n15602 23475\n60038 90081\n17293 25997\n96694 100000\n33401 50084\n75336 100000\n3308 4993\n11461 17202\n92116 100000\n96416 100000\n51167 76706\n59219 88823\n64323 96471\n47585 71310\n85740 100000\n53915 80811\n76134 100000\n87793 100000\n3132 4723\n89674 100000\n21802 32755\n84394 100000\n60453 90697\n90864 100000\n70751 100000\n91462 100000\n71200 100000\n49127 73635\n14797 22264\n14400 21651\n72546 100000\n80486 100000\n2111 3167\n66795 100000\n10353 15536\n30131 45185\n47004 70456\n42534 63797\n47804 71642\n89459 100000\n15336 23077\n26903 40338\n91967 100000\n92323 100000\n12445 18676\n660 1006\n59971 89984\n13201 19830\n46669 69959\n55399 83075\n91110 100000\n32017 48039\n66371 99574\n41437 62152\n33520 50261\n3699 5571\n36399 54579\n27897 41841\n49023 73477\n77193 100000\n12902 19363\n64458 96672\n19963 30014\n59167 88746\n80052 100000\n32413 48629\n14556 21884\n90674 100000\n68514 100000\n21875 32865\n9359 14042\n72383 100000\n18228 27390\n39541 59288\n60908 91374\n40081 60099\n1421 2149\n27614 41407\n36126 54158\n19065 28665\n60749 91130\n68083 100000\n28908 43360\n34552 51818\n94906 100000\n79878 100000\n68683 100000\n59141 88706\n25629 38441\n53980 80908\n81083 100000\n49227 73781\n68511 100000\n25692 38533\n51844 77699\n15150 22796\n95547 100000\n40448 60652\n70667 100000\n98642 100000\n80176 100000\n54167 81189\n41728 62593\n91604 100000\n88198 100000\n45551 68321\n45079 67613\n29658 44471\n72954 100000\n6149 9253\n63149 94728\n2717 4095\n30083 45110\n34065 51079\n34929 52390\n30814 46245\n48050 72002\n15304 23029\n21251 31943\n1840 2769\n83395 100000\n85938 100000\n60256 90393\n33882 50816\n29177 43754\n76005 100000\n76080 100000\n88906 100000\n27942 41909\n76663 100000\n87621 100000\n21182 31836\n50844 76222\n39405 59076\n47583 71308\n63458 95171\n62759 94154\n63247 94866\n48790 73128\n66156 99255\n96669 100000\n37900 56827\n66910 100000\n48469 72636\n22010 33058\n36375 54545\n63182 94774\n68163 100000\n26128 39200\n93313 100000\n9898 14861\n51210 76775\n38273 57396\n7313 10993\n91544 100000\n84295 100000\n81091 100000\n535 821\n57992 86971\n22400 33621\n49344 73957\n96684 100000\n62918 94386\n61609 92414\n12250 18390\n98972 100000\n99397 100000\n67113 100000\n86216 100000\n67228 100000\n43474 65217\n39959 59911\n44552 66814\n47094 70591\n44433 66640\n1103 1666\n60046 90094\n49135 73646\n67229 100000\n81738 100000\n83136 100000\n64269 96394\n40415 60601\n31488 47242\n6828 10264\n36017 53999\n20339 30576\n77542 100000\n78035 100000\n32390 48595\n94382 100000\n33718 50559\n49044 73511\n60254 90391\n81544 100000\n76673 100000\n28331 42489\n18149 27265\n38897 58318\n61811 92720\n15178 22836\n47156 70685\n82533 100000\n63026 94550\n10034 15057\n94923 100000\n530 813\n57234 85834\n44583 66862\n67034 100000\n1543 2336\n12947 19435\n51434 77094\n65030 97535\n91166 100000\n6541 9840\n41363 62043\n62619 93943\n61103 91664\n20086 30194\n92822 100000\n47066 70550\n88913 100000\n94168 100000\n82077 100000\n11457 17195\n91111 100000\n48717 73020\n10674 16006\n69758 100000\n47095 70592\n11234 16856\n82630 100000\n83760 100000\n42328 63489\n2679 4035\n77446 100000\n53999 80933\n7363 11066\n92943 100000\n5208 7832\n14566 21898\n70556 100000\n71084 100000\n16090 24190\n91587 100000\n45429 68135\n85926 100000\n67775 100000\n72285 100000\n44237 66344\n27836 41749\n39275 58883\n53590 80317\n59966 89976\n36160 54208\n37122 55659\n76537 100000\n66244 99384\n82613 100000\n4644 6991\n12084 18140\n86100 100000\n97154 100000\n46536 69763\n45029 67530\n40623 60918\n69282 100000\n22902 34367\n17529 26341\n13741 20656\n66756 100000\n43973 65954\n86723 100000\n95644 100000\n66276 99433\n91655 100000\n1523 2306\n30878 46339\n5369 8077\n53487 80168\n57493 86234\n73120 100000\n98433 100000\n37104 55633\n88518 100000\n26913 40352\n45241 67854\n72779 100000\n90422 100000\n74237 100000\n45866 68778\n21686 32574\n49843 74725\n36071 54077\n85548 100000\n73691 100000\n82309 100000\n46698 69997\n77993 100000\n46102 69131\n6081 9147\n22264 33423\n4724 7111\n21390 32148\n56626 84929\n6905 10378\n41054 61574\n27813 41712\n31661 47505\n37897 56822\n4326 6511\n82537 100000\n10346 15526\n80528 100000\n14352 21580\n24142 36231\n2213 3325\n19383 29143\n36702 55032\n17755 26677\n41653 62478\n31855 47795\n94506 100000\n5197 7817\n80539 100000\n57060 85575\n16497 24811\n5117 7698\n57964 86928\n83987 100000\n48774 73104\n39852 59753\n97828 100000\n78247 100000\n62583 93886\n54470 81662\n32629 48942\n92891 100000\n55959 83922\n14163 21297\n87895 100000\n83666 100000\n85202 100000\n70783 100000\n66938 100000\n9836 14758\n54047 81006\n42713 64058\n50774 76118\n19129 28763\n94813 100000\n23622 35439\n54023 80968\n83089 100000\n78956 100000\n81152 100000\n56794 85174\n71262 100000\n31445 47179\n28395 42584\n33175 49748\n46829 70191\n9968 14961\n33871 50796\n25713 38571\n18513 27817\n8806 13213\n92461 100000\n62447 93687\n15964 24004\n72403 100000\n58416 87624\n77015 100000\n20338 30574\n2144 3218\n17175 25814\n75418 100000\n57181 85754\n65441 98162\n56497 84735\n64740 97098\n98116 100000\n61658 92489\n75463 100000\n17119 25721\n75900 100000\n88421 100000\n45903 68836\n24015 36040\n74195 100000\n5730 8608\n42934 64391\n12882 19333\n14041 21114\n31704 47571\n24202 36318\n96702 100000\n43690 65533\n94944 100000\n53922 80820\n17936 26947\n76519 100000\n70575 100000\n51363 76992\n51843 77698\n80741 100000\n75414 100000\n10117 15187\n72952 100000\n64407 96598\n85480 100000\n56989 85470\n44469 66688\n79088 100000\n60852 91288\n26284 39435\n52334 78429\n95641 100000\n18442 27704\n13108 19683\n19666 29566\n29366 44053\n86446 100000\n19325 29050\n26078 39128\n80348 100000\n51037 76514\n67222 100000\n28812 43218\n43006 64499\n4124 6208\n75027 100000\n34770 52150\n55259 82866\n62901 94364\n3527 5315\n24308 36476\n32640 48957\n45966 68922\n17182 25825\n73160 100000\n90163 100000\n43097 64636\n6719 10107\n97947 100000\n53876 80747\n83540 100000\n89208 100000\n51295 76893\n17779 26714\n76883 100000\n69329 100000\n83858 100000\n86764 100000\n22061 33131\n21517 32340\n9782 14680\n4161 6263\n85331 100000\n25975 38970\n8072 12117\n84969 100000\n5081 7644\n83188 100000\n7830 11762\n71716 100000\n62021 93039\n56724 85071\n99733 100000\n55141 82692\n14620 21982\n19487 29302\n67805 100000\n33250 49862\n87775 100000\n1197 1812\n51279 76873\n54163 81182\n38962 58409\n64259 96380\n34701 52045\n42783 64165\n65750 98634\n80595 100000\n71512 100000\n11837 17769\n6020 9049\n86490 100000\n42013 63021\n5050 7595\n79301 100000\n25523 38288\n819 1245\n44830 67229\n84718 100000\n76266 100000\n16723 25146\n71452 100000\n51753 77558\n99669 100000\n44321 66471\n24735 37110\n38884 58300\n40041 60036\n65170 97747\n70181 100000\n77310 100000\n14853 22345\n55933 83882\n28078 42108\n49370 73994\n41778 62673\n17329 26051\n49999 74948\n82628 100000\n27415 41107\n82057 100000\n3068 4632\n32501 48762\n51230 76804\n9879 14828\n99518 100000\n65229 97838\n81010 100000\n17283 25979\n74994 100000\n47998 71930\n14058 21140\n47678 71455\n18822 28306\n27479 41209\n22530 33815\n53260 79830\n33741 50595\n1799 2708\n30371 45550\n92818 100000\n18721 28148\n94551 100000\n58676 88005\n34242 51344\n68953 100000\n10980 16472\n94634 100000\n42983 64465\n28353 42522\n12159 18252\n19892 29907\n33721 50565\n38445 57653\n94000 100000\n48388 72510\n24777 37175\n69763 100000\n73830 100000\n79293 100000\n81819 100000\n93624 100000\n51507 77194\n95401 100000\n34735 52095\n4443 6689\n84049 100000\n87536 100000\n47265 70851\n19502 29324\n72184 100000\n53759 80570\n71566 100000\n6594 9918\n22881 34337\n86417 100000\n76326 100000\n18289 27479\n91749 100000\n10476 15719\n12760 19149\n62188 93287\n48362 72472\n34092 51116\n77730 100000\n81375 100000\n26207 39318\n70452 100000\n79649 100000\n22650 34002\n78839 100000\n70786 100000\n49990 74935\n10245 15380\n13258 19911\n46166 69224\n97666 100000\n13539 20342\n45252 67875\n7907 11882\n63937 95880\n99799 100000\n92300 100000\n83798 100000\n28236 42343\n58595 87883\n55449 83150\n96271 100000\n18644 28021\n57828 86726\n21828 32793\n57805 86695\n42431 63646\n59034 88544\n79886 100000\n31426 47152\n11585 17387\n19990 30055\n67708 100000\n98158 100000\n40329 60472\n47209 70765\n51535 77234\n95306 100000\n79933 100000\n3888 5851\n10415 15630\n4712 7091\n21976 33008\n84422 100000\n33304 49938\n87863 100000\n22141 33253\n81754 100000\n29809 44703\n40449 60654\n45885 68807\n56112 84152\n3140 4735\n48687 72974\n3955 5950\n90911 100000\n94057 100000\n98894 100000\n86109 100000\n26275 39420\n75732 100000\n60233 90361\n71108 100000\n87574 100000\n52612 78851\n59031 88539\n99450 100000\n3790 5712\n24728 37099\n47635 71389\n59113 88660\n43053 64567\n34885 52328\n28546 42812\n46927 70338\n71995 100000\n19553 29400\n72149 100000\n56498 84737\n55812 83704\n456 699\n18572 27910\n30293 45429\n34278 51397\n45281 67918\n17753 26673\n59105 88647\n23629 35450\n30556 45847\n17826 26786\n91540 100000\n17531 26344\n59722 89605\n32727 49093\n35728 53565\n38928 58361\n81491 100000\n70035 100000\n42710 64052\n36620 54913\n8283 12432\n73443 100000\n35025 52534\n34805 52203\n68947 100000\n91858 100000\n55969 83938\n69382 100000\n88237 100000\n31601 47416\n59267 88898\n60875 91322\n4805 7234\n26067 39110\n54513 81723\n58303 87455\n92391 100000\n54438 81610\n67358 100000\n89150 100000\n6247 9408\n47240 70808\n5021 7549\n73648 100000\n32077 48132\n17587 26425\n83787 100000\n26137 39213\n17267 25953\n60017 90047\n59988 90008\n29571 44340\n19394 29160\n45472 68201\n82218 100000\n98378 100000\n44111 66155\n77145 100000\n77134 100000\n59898 89871\n59797 89719\n73643 100000\n41383 62073\n68455 100000\n36390 54567\n67936 100000\n25365 38057\n31402 47115\n3883 5843\n23823 35742\n37375 56040\n79428 100000\n16043 24122\n50559 75792\n36027 54015\n25294 37953\n7181 10800\n261 402\n99128 100000\n38525 57775\n13682 20564\n12848 19280\n65148 97714\n26438 39664\n34776 52158\n94500 100000\n82798 100000\n19216 28887\n22637 33981\n57316 85966\n30427 45643\n61047 91581\n51607 77342\n61858 92797\n35003 52502\n51271 76862\n23820 35738\n84479 100000\n30021 45019\n68832 100000\n69798 100000\n52452 78609\n13626 20477\n41889 62843\n14120 21232\n51010 76470\n93370 100000\n27821 41724\n56371 84546\n81981 100000\n14715 22140\n5328 8010\n34607 51903\n38264 57384\n40867 61290\n18052 27122\n74317 100000\n4907 7379\n70412 100000\n57034 85537\n89649 100000\n95115 100000\n17767 26696\n63156 94739\n23992 36007\n78676 100000\n25474 38220\n38374 57542\n96407 100000\n61412 92123\n42043 63066\n12446 18678\n56195 84278\n95903 100000\n23225 34856\n74174 100000\n60766 91159\n75319 100000\n50986 76434\n3415 5153\n50221 75283\n86722 100000\n68929 100000\n11600 17411\n16882 25374\n43495 65246\n2517 3792\n93381 100000\n1036 1563\n93406 100000\n7734 11620\n27779 41660\n37163 55720\n52725 79019\n162 248\n96213 100000\n58747 88115\n71143 100000\n43101 64644\n40866 61288\n89486 100000\n28521 42776\n58001 86986\n72429 100000\n30757 46154\n4841 7281\n96395 100000\n42734 64092\n55817 83710\n33209 49803\n6762 10170\n73843 100000\n79855 100000\n80746 100000\n51808 77644\n48069 72030\n31418 47140\n60828 91250\n47850 71704\n15607 23481\n33717 50557\n13858 20832\n37942 56896\n65628 98447\n75290 100000\n59667 89518\n93251 100000\n41420 62129\n59200 88794\n89577 100000\n74958 100000\n3509 5287\n59849 89796\n66846 100000\n36982 55452\n57310 85956\n10152 15237\n50845 76224\n84317 100000\n52638 78889\n5175 7781\n97091 100000\n28484 42724\n31650 47491\n27747 41613\n10664 15995\n76154 100000\n10142 15223\n68940 100000\n97974 100000\n96902 100000\n62467 93718\n17938 26951\n50059 75033\n76780 100000\n14088 21186\n43903 65845\n80534 100000\n43970 65950\n37299 55928\n38882 58297\n20503 30815\n54883 82284\n32605 48904\n64246 96358\n15957 23991\n41253 61877\n69829 100000\n90622 100000\n68071 100000\n33827 50731\n24231 36360\n77187 100000\n21103 31722\n78100 100000\n885 1344\n2667 4017\n33687 50513\n74355 100000\n36357 54516\n79381 100000\n82016 100000\n67544 100000\n81579 100000\n68892 100000\n11649 17485\n59452 89180\n88324 100000\n3346 5051\n61849 92784\n17106 25700\n35630 53420\n32115 48188\n47752 71564\n41700 62550\n68144 100000\n56086 84115\n38733 58082\n7961 11957\n63047 94580\n63771 95627\n15162 22815\n13596 20432\n5441 8178\n20812 31286\n82126 100000\n62550 93843\n65593 98392\n5997 9015\n53709 80495\n15350 23098\n67885 100000\n63630 95424\n33300 49933\n35529 53272\n25816 38733\n47108 70610\n58947 88413\n77372 100000\n29782 44656\n48572 72796\n50148 75165\n12021 18043\n4985 7500\n77390 100000\n38590 57867\n44308 66451\n94281 100000\n99556 100000\n44831 67230\n52180 78203\n37292 55918\n84256 100000\n7696 11563\n11912 17884\n48343 72445\n25305 37969\n14484 21777\n58168 87242\n50480 75677\n40429 60622\n26312 39477\n76727 100000\n31225 46865\n79467 100000\n15437 23232\n69167 100000\n2299 3456\n88942 100000\n7307 10983\n44958 67421\n54866 82261\n80393 100000\n17930 26940\n81771 100000\n90075 100000\n82773 100000\n71686 100000\n73692 100000\n89340 100000\n32180 48276\n87798 100000\n29454 44173\n70443 100000\n98105 100000\n12718 19084\n60847 91281\n7869 11821\n72441 100000\n52131 78129\n43603 65404\n30189 45277\n87582 100000\n30852 46298\n10039 15065\n84226 100000\n15056 22655\n52791 79119\n76094 100000\n11858 17797\n76638 100000\n15920 23937\n69975 100000\n79219 100000\n84655 100000\n36719 55061\n17748 26666\n64441 96647\n89419 100000\n37880 56799\n54881 82282\n9886 14840\n17301 26009\n32759 49138\n95811 100000\n17240 25913\n42510 63761\n20089 30199\n62221 93340\n17328 26050\n20182 30340\n28586 42870\n93754 100000\n31987 47995\n64548 96808\n16166 24304\n81125 100000\n90558 100000\n62246 93377\n66836 100000\n55254 82858\n7111 10693\n4957 7459\n99273 100000\n95520 100000\n69725 100000\n88672 100000\n50339 75462\n34953 52423\n3082 4650\n58108 87151\n92615 100000\n75484 100000\n78954 100000\n75025 100000\n27891 41833\n32822 49231\n81123 100000\n65292 97933\n85625 100000\n87604 100000\n32346 48530\n87868 100000\n98255 100000\n42017 63025\n3371 5088\n56731 85078\n43876 65802\n297 457\n72343 100000\n67235 100000\n69507 100000\n43035 64540\n50585 75832\n40990 61472\n11244 16871\n84649 100000\n48761 73086\n95471 100000\n33086 49622\n85227 100000\n12129 18205\n46001 68976\n60070 90127\n77095 100000\n4193 6313\n42522 63778\n46920 70327\n18155 27275\n10389 15590\n96985 100000\n56871 85287\n95312 100000\n72716 100000\n28928 43393\n94327 100000\n20578 30918\n38802 58183\n95241 100000\n94561 100000\n27049 40549\n80401 100000\n47528 71224\n4588 6908\n77414 100000\n2737 4127\n69321 100000\n29328 43993\n9999 15008\n89255 100000\n47517 71207\n97134 100000\n76058 100000\n24044 36082\n87462 100000\n13428 20173\n39128 58649\n7905 11878\n62122 93179\n40210 60297\n27433 41135\n39847 59745\n91639 100000\n74122 100000\n52335 78431\n32494 48751\n97408 100000\n78736 100000\n2713 4087\n12146 18231\n48083 72054\n10663 15994\n68477 100000\n76740 100000\n95036 100000\n18758 28207\n48430 72577\n19345 29083\n36614 54902\n66287 99450\n26119 39187\n60064 90118\n19226 28903\n54708 82016\n23467 35213\n14595 21943\n43805 65702\n56158 84224\n2770 4176\n47800 71636\n12296 18452\n81789 100000\n8945 13417\n44982 67454\n13648 20511\n66736 100000\n54920 82343\n74635 100000\n96336 100000\n1940 2917\n89594 100000\n42988 64472\n20783 31240\n28514 42767\n97291 100000\n35560 53317\n60993 91503\n178 272\n67339 100000\n8001 12013\n3642 5484\n24054 36096\n21509 32329\n85825 100000\n15963 24002\n86732 100000\n51203 76763\n10935 16403\n56944 85402\n35691 53512\n48628 72888\n9241 13861\n89031 100000\n84732 100000\n91695 100000\n88503 100000\n86753 100000\n45231 67839\n70252 100000\n89946 100000\n1567 2372\n10187 15291\n31990 48000\n84487 100000\n83096 100000\n71445 100000\n17431 26198\n19544 29385\n32566 48853\n36098 54118\n73420 100000\n50701 76009\n58954 88426\n91727 100000\n20408 30674\n95453 100000\n46825 70186\n95815 100000\n99977 100000\n25485 38234\n34664 51986\n51428 77087\n35708 53535\n44897 67335\n2260 3396\n57413 86116\n84654 100000\n39051 58540\n25971 38963\n58805 88202\n7937 11928\n18537 27857\n24013 36038\n71401 100000\n89756 100000\n16064 24154\n30262 45385\n56662 84982\n81368 100000\n20264 30463\n56298 84439\n92722 100000\n18336 27548\n80065 100000\n41463 62191\n33952 50914\n13938 20956\n36356 54515\n15806 23771\n83580 100000\n40640 60944\n2389 3592\n52090 78073\n72092 100000\n64669 96993\n18143 27255\n4561 6866\n52732 79029\n93316 100000\n6074 9137\n44147 66216\n21063 31661\n64119 96162\n90383 100000\n79464 100000\n52981 79400\n33492 50223\n2409 3621\n70992 100000\n90429 100000\n714 1088\n85132 100000\n25386 38089\n38164 57230\n25934 38910\n85235 100000\n71139 100000\n43156 64729\n91543 100000\n23311 34984\n24780 37179\n59719 89601\n14185 21332\n11281 16930\n14381 21622\n987 1496\n14706 22123\n48145 72148\n46319 69446\n69388 100000\n48747 73068\n88195 100000\n50294 75395\n59511 89278\n47913 71798\n4797 7221\n77517 100000\n10688 16025\n32863 49289\n63041 94571\n81194 100000\n8627 12945\n69727 100000\n56170 84241\n39579 59350\n34434 51637\n60626 90943\n87847 100000\n18064 27140\n34896 52345\n29565 44332\n21033 31619\n63282 94917\n31833 47764\n23099 34670\n19854 29853\n49252 73815\n81097 100000\n52234 78282\n81025 100000\n39412 59089\n41182 61765\n32685 49030\n53572 80292\n13962 20992\n98855 100000\n64437 96641\n72770 100000\n50332 75453\n58228 87332\n61778 92670\n77281 100000\n3455 5213\n66713 100000\n76689 100000\n88037 100000\n2591 3907\n14110 21219\n76760 100000\n6226 9375\n12135 18213\n3704 5579\n39556 59313\n626 960\n3685 5550\n28423 42627\n77790 100000\n87805 100000\n36806 55201\n30726 46106\n90593 100000\n41461 62188\n59974 89989\n64761 97128\n97080 100000\n84216 100000\n72153 100000\n90280 100000\n80589 100000\n5226 7860\n41382 62072\n1654 2495\n36626 54921\n66926 100000\n72746 100000\n2390 3593\n68085 100000\n48713 73014\n60559 90847\n89850 100000\n46109 69140\n10155 15241\n58656 87976\n38150 57207\n87907 100000\n26814 40212\n73287 100000\n58643 87957\n31801 47716\n49192 73730\n8451 12683\n15542 23386\n14343 21566\n97864 100000\n2900 4377\n42394 63587\n98206 100000\n18804 28278\n18158 27280\n48645 72910\n71261 100000\n28693 43035\n49845 74728\n22787 34195\n85923 100000\n89127 100000\n41257 61883\n58259 87382\n94960 100000\n37074 55590\n64181 96260\n61899 92858\n3535 5327\n76304 100000\n19852 29849\n16563 24908\n1780 2680\n26886 40312\n84653 100000\n42745 64111\n10609 15912\n85145 100000\n64363 96530\n29346 44023\n14054 21134\n72415 100000\n99536 100000\n87666 100000\n98797 100000\n39060 58552\n83504 100000\n45713 68557\n26185 39284\n99304 100000\n62745 94131\n4207 6332\n79672 100000\n57272 85898\n45359 68035\n7370 11077\n68864 100000\n80868 100000\n5770 8668\n2994 4521\n94130 100000\n63486 95211\n57319 85971\n5443 8182\n95442 100000\n19901 29919\n82353 100000\n88272 100000\n35202 52792\n94061 100000\n30048 45056\n65385 98081\n20519 30834\n36958 55415\n9339 14014\n33758 50622\n82560 100000\n62037 93062\n94208 100000\n99923 100000\n17019 25570\n94221 100000\n17746 26663\n28983 43476\n81739 100000\n49413 74059\n66641 99972\n2031 3051\n81744 100000\n65237 97849\n36683 55004\n14047 21122\n66868 100000\n60941 91422\n7190 10813\n81446 100000\n63656 95460\n66415 99638\n43537 65309\n36374 54544\n32952 49424\n64824 97222\n92632 100000\n41211 61810\n29521 44274\n26628 39951\n23438 35173\n28805 43207\n57977 86949\n86454 100000\n4612 6942\n38523 57772\n63666 95477\n50980 76426\n22842 34276\n9980 14977\n28220 42319\n72917 100000\n88970 100000\n66535 99818\n84358 100000\n31740 47628\n91252 100000\n94086 100000\n27888 41828\n22744 34134\n80342 100000\n90691 100000\n86403 100000\n97035 100000\n63868 95778\n42558 63832\n76369 100000\n90688 100000\n70956 100000\n75945 100000\n62741 94123\n34667 51992\n32419 48640\n20976 31533\n51670 77434\n16131 24249\n94413 100000\n76929 100000\n95320 100000\n62239 93368\n8746 13122\n16933 25451\n77518 100000\n42922 64375\n36916 55355\n46851 70224\n41836 62762\n29152 43720\n66431 99662\n56428 84635\n98685 100000\n80358 100000\n47448 71112\n49561 74291\n62674 94027\n63351 95015\n74645 100000\n57024 85525\n4880 7339\n5185 7798\n948 1442\n36398 54577\n15235 22922\n17872 26850\n56717 85062\n61715 92570\n88807 100000\n4699 7071\n53841 80696\n6462 9728\n42606 63905\n47163 70697\n84712 100000\n19999 30070\n7904 11876\n79248 100000\n42265 63397\n68104 100000\n26017 39033\n92815 100000\n37836 56736\n69992 100000\n72169 100000\n98698 100000\n62893 94351\n53622 80370\n11570 17366\n30497 45749\n56017 84011\n71609 100000\n71536 100000\n61290 91942\n12991 19504\n15840 23819\n99760 100000\n54528 81744\n88104 100000\n88979 100000\n55305 82938\n54524 81736\n21468 32271\n92238 100000\n4038 6066\n31463 47205\n3636 5475\n18042 27107\n36130 54164\n17957 26979\n81449 100000\n19589 29453\n75279 100000\n48391 72513\n61758 92638\n93532 100000\n93253 100000\n71593 100000\n29789 44668\n74752 100000\n64843 97250\n83353 100000\n87456 100000\n81138 100000\n33260 49876\n13051 19597\n78718 100000\n55946 83901\n46125 69163\n86895 100000\n3864 5815\n35878 53793\n34597 51890\n75198 100000\n48407 72538\n83941 100000\n67167 100000\n48803 73147\n79953 100000\n58565 87839\n6626 9969\n95003 100000\n13200 19828\n28565 42839\n12893 19349\n43166 64744\n97052 100000\n41921 62891\n58620 87923\n16204 24364\n65069 97599\n50170 75202\n11952 17938\n48392 72515\n69159 100000\n11653 17490\n54858 82247\n40050 60050\n17510 26310\n95629 100000\n23979 35990\n26516 39778\n60835 91262\n73708 100000\n25497 38253\n18435 27695\n29479 44212\n92719 100000\n83953 100000\n77697 100000\n12854 19290\n4698 7070\n22543 33834\n62908 94375\n30949 46452\n26986 40453\n97224 100000\n65248 97865\n67653 100000\n61452 92184\n74514 100000\n52107 78096\n91077 100000\n74286 100000\n90166 100000\n77972 100000\n97141 100000\n82886 100000\n33989 50965\n97502 100000\n21065 31664\n6960 10463\n90421 100000\n7043 10590\n99815 100000\n4335 6527\n42190 63289\n60980 91482\n25593 38386\n9841 14767\n68196 100000\n71142 100000\n29659 44472\n19870 29874\n26492 39741\n68564 100000\n82321 100000\n70151 100000\n12698 19058\n90487 100000\n4436 6680\n68839 100000\n96740 100000\n87110 100000\n38187 57266\n18941 28484\n74652 100000\n34869 52303\n18917 28448\n45474 68205\n84679 100000\n62539 93825\n68409 100000\n35806 53684\n29351 44031\n58237 87347\n80742 100000\n484 740\n72851 100000\n31287 46946\n83433 100000\n77006 100000\n32934 49397\n56685 85017\n58872 88297\n35937 53878\n42298 63444\n50841 76218\n95418 100000\n43415 65124\n99517 100000\n71804 100000\n70072 100000\n11563 17356\n61317 91984\n34346 51502\n56283 84412\n58650 87966\n53436 80099\n75687 100000\n90203 100000\n27619 41412\n13204 19836\n18419 27672\n85619 100000\n55601 83389\n4677 7042\n30661 46007\n70837 100000\n48098 72073\n26543 39820\n36568 54827\n8142 12226\n43493 65244\n36234 54323\n63217 94821\n56786 85163\n2446 3682\n94587 100000\n29810 44705\n44438 66646\n40006 59984\n50804 76165\n69313 100000\n74279 100000\n75886 100000\n53490 80173\n46609 69872\n82721 100000\n24914 37380\n14563 21893\n76586 100000\n2831 4272\n94578 100000\n76543 100000\n24347 36538\n3989 5994\n86808 100000\n46784 70127\n7994 12005\n31580 47384\n84910 100000\n77536 100000\n55382 83051\n40465 60679\n78563 100000\n15140 22784\n71010 100000\n29847 44756\n57099 85631\n12649 18984\n16344 24572\n63055 94593\n33703 50536\n19894 29909\n14432 21697\n31322 47001\n36585 54858\n27188 40758\n69514 100000\n41477 62212\n80612 100000\n9599 14404\n60508 90771\n93790 100000\n6712 10097\n45100 67641\n90212 100000\n45977 68938\n17744 26660\n87440 100000\n10157 15244\n23408 35130\n99478 100000\n93658 100000\n59058 88579\n29990 44971\n13297 19965\n64560 96827\n26260 39398\n73647 100000\n62914 94382\n84441 100000\n9115 13663\n58549 87819\n13517 20311\n157 240\n74231 100000\n57173 85741\n42744 64109\n94848 100000\n43731 65597\n45210 67808\n84135 100000\n41817 62734\n32508 48771\n27874 41807\n36883 55304\n87422 100000\n18558 27890\n72120 100000\n45203 67796\n10131 15209\n18222 27380\n71482 100000\n28608 42902\n67550 100000\n955 1449\n76886 100000\n50860 76249\n19364 29115\n72140 100000\n24832 37262\n19452 29245\n5705 8575\n82311 100000\n98820 100000\n81258 100000\n22116 33215\n81299 100000\n62260 93398\n38011 56998\n90725 100000\n11897 17861\n10591 15887\n50458 75646\n40709 61042\n12853 19288\n88262 100000\n5538 8322\n71351 100000\n57748 86610\n18182 27317\n15092 22711\n45857 68764\n44983 67456\n4096 6162\n45662 68484\n4967 7472\n76625 100000\n57984 86960\n59809 89738\n6926 10407\n18775 28232\n79924 100000\n93582 100000\n82832 100000\n67992 100000\n82270 100000\n92884 100000\n28939 43411\n4869 7323\n27904 41851\n73016 100000\n78332 100000\n2982 4501\n36204 54275\n17128 25737\n18025 27080\n93208 100000\n73142 100000\n57352 86022\n58526 87789\n24161 36257\n94932 100000\n93616 100000\n77176 100000\n214 330\n89248 100000\n6596 9921\n12675 19024\n52964 79379\n19032 28616\n73348 100000\n70036 100000\n7496 11263\n46256 69354\n20256 30450\n56795 85175\n71676 100000\n54241 81292\n84073 100000\n34637 51946\n12182 18288\n53525 80226\n25952 38936\n12391 18597\n81267 100000\n82738 100000\n25637 38454\n86332 100000\n56606 84901\n92797 100000\n19784 29746\n27496 41234\n69396 100000\n75779 100000\n94831 100000\n38936 58371\n76547 100000\n12357 18545\n89435 100000\n17485 26276\n30809 46238\n15089 22708\n20615 30979\n8336 12516\n88744 100000\n98669 100000\n11181 16777\n15780 23732\n6918 10395\n20036 30124\n20410 30677\n38898 58319\n34376 51551\n18044 27111\n87290 100000\n23640 35467\n8317 12485\n25916 38884\n32079 48134\n16944 25465\n76796 100000\n46908 70308\n69711 100000\n1489 2254\n27516 41264\n48230 72272\n28877 43315\n37560 56314\n57967 86932\n96543 100000\n71337 100000\n55108 82640\n61974 92975\n52931 79331\n3914 5893\n26510 39768\n36560 54815\n6391 9632\n18754 28201\n38311 57454\n79202 100000\n17597 26438\n64021 96012\n10557 15833\n66325 99503\n4673 7035\n29626 44421\n16409 24671\n9254 13883\n14416 21673\n84972 100000\n67549 100000\n13192 19815\n1441 2183\n85917 100000\n61749 92623\n12570 18861\n27638 41441\n74159 100000\n79539 100000\n37451 56152\n15342 23086\n15680 23590\n90690 100000\n78543 100000\n47345 70971\n49304 73896\n67676 100000\n93875 100000\n41327 61990\n41075 61605\n6480 9750\n14787 22248\n81724 100000\n91982 100000\n53012 79451\n31939 47918\n19859 29859\n10599 15898\n53445 80110\n89884 100000\n55759 83630\n73193 100000\n24093 36156\n33165 49736\n18628 27994\n79696 100000\n43137 64702\n98573 100000\n77820 100000\n10254 15394\n29192 43776\n64696 97036\n19443 29233\n47815 71654\n44148 66217\n83207 100000\n32953 49425\n35185 52770\n83568 100000\n63539 95287\n81408 100000\n42036 63054\n77205 100000\n19513 29340\n58628 87934\n183 279\n71092 100000\n23526 35300\n85389 100000\n2469 3718\n6535 9832\n47508 71194\n61631 92447\n36047 54041\n49295 73883\n73842 100000\n1187 1794\n30939 46435\n11608 17423\n24514 36782\n91922 100000\n93660 100000\n23132 34718\n38347 57502\n38003 56984\n24909 37372\n6378 9611\n30419 45629\n42663 63982\n47967 71881\n31570 47369\n83315 100000\n55661 83478\n57031 85534\n41302 61955\n52855 79218\n38631 57926\n49482 74163\n47396 71039\n47807 71646\n52435 78586\n36467 54679\n73929 100000\n30226 45330\n55500 83234\n36935 55382\n67467 100000\n25701 38549\n89801 100000\n31553 47343\n3862 5812\n67403 100000\n87233 100000\n74081 100000\n47096 70593\n69816 100000\n26345 39528\n2164 3250\n51994 77928\n83828 100000\n9692 14543\n22097 33184\n38035 57037\n38584 57859\n41726 62590\n81024 100000\n62553 93847\n27570 41340\n10806 16208\n95731 100000\n27972 41954\n69059 100000\n13655 20523\n85496 100000\n4258 6407\n32148 48234\n55776 83657\n47253 70830\n3697 5568\n10890 16338\n73703 100000\n15298 23022\n50240 75310\n94995 100000\n3505 5282\n7649 11495\n58067 87090\n38392 57571\n8671 13011\n73518 100000\n7989 11998\n87247 100000\n43290 64936\n14802 22271\n56468 84695\n59052 88570\n22363 33567\n24470 36723\n52769 79083\n28272 42397\n86456 100000\n6855 10304\n66061 99109\n12132 18208\n61187 91789\n70881 100000\n5609 8432\n70738 100000\n42729 64082\n48433 72580\n27452 41167\n52259 78318\n5946 8937\n2782 4196\n10577 15864\n27876 41809\n54171 81193\n57772 86645\n98632 100000\n84464 100000\n52217 78259\n9197 13790\n51221 76791\n41092 61629\n39830 59721\n33408 50096\n28376 42559\n82112 100000\n9328 13997\n339 521\n5340 8031\n24505 36769\n74659 100000\n41738 62608\n38886 58302\n15621 23505\n29801 44689\n33513 50251\n73808 100000\n84451 100000\n19202 28869\n85288 100000\n79867 100000\n70494 100000\n45284 67923\n15151 22798\n74111 100000\n61539 92308\n82795 100000\n53100 79583\n87579 100000\n48877 73262\n99954 100000\n9794 14696\n19731 29665\n34312 51447\n48010 71945\n19227 28905\n907 1378\n99547 100000\n16179 24324\n57410 86110\n30759 46158\n75757 100000\n5393 8106\n37282 55902\n64883 97310\n86116 100000\n16121 24238\n22454 33703\n97641 100000\n73951 100000\n89638 100000\n57570 86344\n38246 57353\n93480 100000\n5612 8436\n3109 4689\n74549 100000\n75637 100000\n70974 100000\n39714 59551\n20230 30414\n62635 93968\n85927 100000\n63420 95115\n56332 84487\n66279 99438\n62380 93588\n42575 63856\n98477 100000\n83757 100000\n39477 59187\n93237 100000\n58307 87461\n20798 31263\n61931 92906\n95153 100000\n28969 43455\n93733 100000\n86724 100000\n30540 45821\n83874 100000\n22488 33756\n12545 18823\n66202 99320\n3675 5536\n44068 66091\n54532 81750\n94338 100000\n27860 41786\n82162 100000\n51417 77071\n30614 45935\n28732 43096\n42764 64138\n63858 95762\n92030 100000\n25136 37723\n35886 53804\n63662 95470\n89509 100000\n13419 20157\n21860 32845\n95691 100000\n50629 75901\n81921 100000\n66883 100000\n85336 100000\n89864 100000\n30260 45381\n68883 100000\n11812 17731\n42678 64003\n59151 88721\n58538 87805\n12772 19162\n36254 54354\n34847 52269\n71135 100000\n4936 7427\n6556 9860\n62224 93345\n81344 100000\n44428 66633\n65042 97553\n35800 53672\n81959 100000\n64444 96651\n9448 14169\n39348 58996\n36590 54865\n48394 72517\n4352 6552\n928 1411\n69322 100000\n98977 100000\n18712 28134\n50256 75336\n93342 100000\n30863 46317\n26049 39082\n3209 4841\n63772 95628\n41210 61808\n35126 52681\n40157 60214\n45057 67577\n65120 97669\n57490 86229\n3946 5938\n13414 20149\n99963 100000\n28929 43395\n15233 22918\n90475 100000\n80786 100000\n88916 100000\n29874 44799\n8136 12218\n95061 100000\n25280 37935\n18436 27696\n99361 100000\n41328 61991\n98008 100000\n57642 86452\n15204 22874\n78458 100000\n92816 100000\n17508 26308\n75879 100000\n8301 12461\n44689 67021\n31803 47719\n55354 83008\n8066 12108\n78000 100000\n35778 53639\n34295 51423\n4684 7051\n81869 100000\n77120 100000\n91822 100000\n62687 94044\n66382 99590\n43605 65407\n16048 24130\n932 1417\n37075 55591\n9004 13501\n20735 31164\n97066 100000\n86476 100000\n16952 25476\n65932 98911\n95937 100000\n44091 66125\n16446 24727\n40432 60628\n95630 100000\n67085 100000\n44544 66804\n56033 84034\n22323 33511\n41268 61902\n11211 16823\n22035 33094\n5906 8879\n25883 38834\n26421 39637\n60594 90899\n5608 8431\n53543 80253\n34876 52314\n80608 100000\n63661 95469\n79361 100000\n83295 100000\n15747 23687\n90643 100000\n14608 21962\n52005 77944\n15792 23748\n72417 100000\n32026 48052\n12234 18368\n9967 14960\n14667 22061\n70298 100000\n45043 67554\n88478 100000\n10482 15729\n85326 100000\n47609 71348\n93981 100000\n55267 82878\n79991 100000\n96748 100000\n57811 86704\n56295 84433\n59350 89022\n96958 100000\n56668 84990\n68740 100000\n92263 100000\n29031 43546\n71405 100000\n42673 63997\n89221 100000\n73352 100000\n45721 68570\n45442 68152\n56543 84806\n87823 100000\n2264 3402\n97200 100000\n34006 50990\n9615 14428\n75094 100000\n8858 13293\n43628 65441\n38705 58040\n83063 100000\n89862 100000\n61559 92341\n81822 100000\n84844 100000\n78879 100000\n61154 91738\n35352 53008\n28974 43462\n91057 100000\n64719 97071\n36441 54639\n54819 82189\n28749 43124\n78155 100000\n90320 100000\n19998 30069\n31981 47984\n36065 54066\n87069 100000\n64898 97333\n177 270\n84949 100000\n11287 16940\n88958 100000\n76775 100000\n97837 100000\n51921 77813\n33519 50260\n76833 100000\n9883 14834\n60467 90718\n23962 35962\n89757 100000\n33903 50842\n88256 100000\n60760 91151\n79599 100000\n50160 75187\n36077 54086\n37105 55635\n52367 78481\n90077 100000\n60690 91041\n97292 100000\n97646 100000\n32233 48360\n33962 50927\n68706 100000\n33979 50951\n77961 100000\n99320 100000\n98130 100000\n79752 100000\n68165 100000\n67476 100000\n35319 52963\n59850 89798\n44344 66507\n44221 66321\n60709 91068\n4862 7312\n26266 39407\n61286 91935\n42777 64157\n15034 22617\n38054 57064\n65986 98992\n63391 95070\n19547 29389\n76897 100000\n90698 100000\n84310 100000\n13574 20395\n93975 100000\n10799 16197\n40816 61217\n82917 100000\n68788 100000\n4021 6040\n56341 84500\n42925 64380\n17684 26569\n35521 53261\n65419 98131\n96573 100000\n80966 100000\n13922 20932\n68303 100000\n11651 17488\n30842 46282\n71687 100000\n22212 33356\n55307 82941\n60305 90469\n41793 62695\n48878 73263\n42528 63788\n93915 100000\n72042 100000\n99268 100000\n43806 65703\n55622 83421\n49665 74450\n85415 100000\n34842 52260\n96881 100000\n25621 38430\n14886 22392\n77800 100000\n4686 7053\n67601 100000\n86580 100000\n95104 100000\n38233 57334\n27528 41280\n4788 7209\n73364 100000\n17776 26709\n98424 100000\n22461 33716\n91623 100000\n65347 98023\n67725 100000\n21869 32856\n21814 32775\n64836 97238\n77539 100000\n97000 100000\n28702 43047\n87084 100000\n16666 25062\n60527 90800\n46506 69716\n41165 61739\n32245 48380\n1037 1565\n5639 8478\n639 976\n52768 79082\n65342 98013\n2958 4466\n78590 100000\n2714 4089\n16491 24800\n77526 100000\n1544 2338\n94672 100000\n49211 73759\n80762 100000\n56625 84928\n64263 96386\n20808 31279\n89524 100000\n7167 10777\n52762 79073\n52446 78601\n23055 34601\n65562 98346\n78305 100000\n550 843\n19380 29139\n61827 92744\n67451 100000\n41299 61949\n87482 100000\n60214 90334\n67671 100000\n44617 66914\n30756 46152\n75905 100000\n58484 87725\n3205 4835\n54352 81468\n78494 100000\n39170 58711\n53471 80146\n80274 100000\n13348 20047\n77030 100000\n72467 100000\n98636 100000\n78384 100000\n96757 100000\n6386 9625\n44168 66241\n72533 100000\n34339 51488\n9236 13854\n72399 100000\n31261 46911\n690 1055\n64495 96725\n17414 26173\n20121 30247\n47614 71357\n36616 54906\n77192 100000\n94985 100000\n35150 52716\n6048 9097\n26544 39822\n52987 79411\n8177 12278\n39371 59030\n97167 100000\n3424 5168\n6631 9977\n50543 75771\n56134 84184\n16120 24237\n46755 70087\n57223 85818\n21577 32428\n3016 4553\n80895 100000\n19738 29677\n81318 100000\n72903 100000\n6576 9891\n3204 4833\n29744 44599\n27660 41476\n53386 80024\n48282 72353\n40613 60904\n98186 100000\n47718 71513\n66838 100000\n46685 69981\n89478 100000\n13167 19776\n58555 87826\n24806 37221\n55729 83580\n14574 21910\n74308 100000\n40478 60702\n80332 100000\n88300 100000\n70586 100000\n3831 5765\n18159 27282\n43309 64964\n11804 17720\n62579 93879\n30218 45319\n88830 100000\n31714 47587\n16495 24807\n42916 64364\n19249 28937\n54357 81475\n3388 5115\n61226 91846\n21743 32661\n22291 33464\n27658 41473\n44125 66179\n95007 100000\n86198 100000\n80657 100000\n93469 100000\n81308 100000\n44787 67171\n90418 100000\n32674 49012\n40409 60594\n88821 100000\n64698 97039\n19721 29652\n67646 100000\n36598 54879\n519 798\n8057 12094\n63598 95377\n7229 10871\n76498 100000\n61529 92292\n33013 49510\n34506 51750\n74933 100000\n23947 35935\n79038 100000\n51120 76638\n94139 100000\n23297 34963\n7073 10637\n20259 30455\n92725 100000\n77881 100000\n84109 100000\n37948 56905\n74574 100000\n8252 12392\n76388 100000\n42877 64305\n79422 100000\n11925 17901\n69932 100000\n3759 5663\n76404 100000\n60004 90030\n88990 100000\n54285 81364\n71540 100000\n39003 58469\n14063 21148\n23641 35468\n87049 100000\n38385 57561\n97876 100000\n9062 13585\n67062 100000\n11410 17123\n28789 43183\n23791 35695\n88997 100000\n39463 59165\n3828 5762\n49067 73544\n88533 100000\n52473 78640\n15098 22721\n21901 32898\n21040 31631\n59825 89763\n3690 5556\n3383 5106\n83333 100000\n91468 100000\n31569 47368\n97907 100000\n59600 89412\n64535 96788\n62964 94454\n26338 39519\n37533 56272\n25128 37712\n54231 81279\n26505 39761\n93298 100000\n6096 9169\n70729 100000\n44801 67190\n9644 14469\n82937 100000\n30855 46303\n73328 100000\n53444 80109\n3288 4962\n31207 46842\n90658 100000\n42962 64432\n87377 100000\n50377 75523\n49551 74275\n17266 25951\n23687 35538\n13791 20728\n63821 95704\n17806 26757\n90546 100000\n34836 52250\n9052 13569\n38240 57345\n81039 100000\n29686 44511\n69277 100000\n14851 22342\n4371 6583\n18390 27628\n53781 80600\n26999 40473\n94228 100000\n40060 60068\n90584 100000\n3974 5974\n8370 12566\n65057 97579\n1218 1845\n18636 28007\n52526 78720\n81555 100000\n74319 100000\n44775 67152\n36889 55313\n6825 10260\n78340 100000\n82354 100000\n10549 15824\n93226 100000\n87743 100000\n90900 100000\n9779 14675\n90164 100000\n80247 100000\n55675 83501\n25417 38135\n31604 47420\n92834 100000\n69015 100000\n49388 74023\n38269 57390\n73222 100000\n88955 100000\n78479 100000\n13214 19849\n97964 100000\n24287 36447\n70752 100000\n3374 5093\n16259 24446\n87972 100000\n53290 79881\n34426 51625\n93416 100000\n91844 100000\n93152 100000\n41326 61989\n57431 86142\n44414 66611\n65306 97954\n69449 100000\n32844 49262\n90393 100000\n92641 100000\n63660 95467\n71177 100000\n89310 100000\n1717 2586\n16431 24706\n78233 100000\n81690 100000\n79198 100000\n6980 10495\n5105 7681\n33824 50727\n46633 69905\n29136 43694\n76382 100000\n98993 100000\n28458 42681\n25656 38482\n96131 100000\n50934 76357\n91651 100000\n4206 6330\n26261 39399\n62359 93555\n51137 76664\n31211 46847\n55599 83386\n62974 94469\n86761 100000\n65572 98359\n64885 97312\n49215 73765\n65606 98411\n52761 79072\n80618 100000\n78331 100000\n77444 100000\n90063 100000\n62907 94374\n33270 49890\n1806 2717\n97583 100000\n28194 42278\n2863 4321\n13409 20141\n61926 92899\n82023 100000\n71140 100000\n36852 55261\n97960 100000\n35672 53482\n48622 72877\n76583 100000\n69623 100000\n77618 100000\n24650 36981\n74829 100000\n39189 58740\n87614 100000\n98347 100000\n42116 63170\n86279 100000\n22157 33275\n25869 38810\n88291 100000\n76731 100000\n49378 74007\n72250 100000\n18009 27056\n14333 21552\n2733 4121\n66452 99696\n21477 32286\n13253 19904\n39673 59490\n30670 46021\n40919 61367\n89805 100000\n29330 43996\n45219 67822\n90031 100000\n1755 2644\n63902 95832\n33539 50291\n19063 28662\n29248 43864\n62093 93140\n32173 48267\n64876 97300\n6095 9168\n98348 100000\n51745 77547\n11739 17619\n86081 100000\n17297 26003\n19682 29593\n99124 100000\n94511 100000\n33598 50381\n53939 80847\n44758 67128\n24211 36332\n84661 100000\n88280 100000\n11657 17497\n66034 99068\n24833 37263\n60251 90387\n90305 100000\n58798 88191\n4237 6376\n73300 100000\n11948 17933\n5423 8149\n15352 23102\n20697 31105\n80207 100000\n11855 17794\n56776 85147\n35310 52948\n55779 83661\n27215 40797\n83240 100000\n27009 40489\n50694 75997\n48507 72694\n3274 4941\n46640 69914\n37614 56404\n80171 100000\n65208 97803\n73622 100000\n64366 96536\n68507 100000\n88876 100000\n53291 79883\n53092 79573\n75919 100000\n28743 43114\n25747 38625\n2230 3351\n46252 69348\n45467 68191\n21 35\n12540 18813\n58928 88385\n66755 100000\n13315 19996\n27817 41718\n47043 70515\n59369 89048\n11539 17320\n51999 77937\n95218 100000\n88224 100000\n67693 100000\n44691 67024\n83830 100000\n47520 71212\n35958 53910\n38944 58383\n36299 54425\n67087 100000\n66516 99791\n68961 100000\n70081 100000\n76686 100000\n86151 100000\n66337 99522\n13552 20361\n64217 96315\n93330 100000\n85529 100000\n46452 69638\n57844 86744\n43497 65249\n24669 37008\n33822 50724\n2270 3412\n33383 50055\n72409 100000\n66912 100000\n33386 50059\n13844 20809\n76626 100000\n36137 54175\n23150 34747\n21677 32564\n90332 100000\n49412 74058\n67088 100000\n80113 100000\n19688 29603\n84067 100000\n70070 100000\n47859 71716\n64524 96772\n8254 12396\n15256 22954\n24085 36144\n21610 32470\n50298 75400\n49631 74393\n74578 100000\n82756 100000\n1700 2559\n37681 56502\n8586 12883\n35346 52999\n96124 100000\n35709 53536\n15819 23789\n81973 100000\n74276 100000\n56764 85129\n38563 57829\n33681 50504\n26487 39734\n44437 66644\n11160 16747\n90880 100000\n94744 100000\n56443 84657\n4416 6648\n77241 100000\n63453 95164\n40688 61011\n61522 92282\n35824 53710\n44431 66638\n17222 25884\n48352 72458\n51446 77111\n26104 39168\n51169 76710\n22511 33790\n91763 100000\n63600 95379\n11831 17760\n63593 95369\n71465 100000\n80419 100000\n92142 100000\n28199 42285\n39151 58682\n6190 9320\n25953 38937\n64224 96325\n74375 100000\n11429 17155\n22910 34378\n22757 34153\n70373 100000\n80131 100000\n34867 52299\n93457 100000\n14320 21530\n73224 100000\n59325 88984\n96426 100000\n58377 87569\n34423 51621\n91324 100000\n61817 92729\n15324 23059\n69536 100000\n23838 35766\n21189 31845\n11588 17392\n75994 100000\n10467 15708\n10214 15332\n2059 3096\n62298 93457\n36877 55297\n31706 47574\n74960 100000\n49397 74035\n67367 100000\n16245 24425\n55880 83801\n7657 11508\n24883 37336\n66478 99735\n4004 6016\n6457 9721\n32278 48426\n31794 47704\n85763 100000\n46039 69040\n98491 100000\n3574 5384\n19350 29091\n5319 7997\n92005 100000\n5415 8137\n44805 67195\n39805 59682\n41372 62055\n10992 16490\n11164 16754\n4027 6047\n16465 24757\n52022 77972\n13095 19665\n4290 6459\n29765 44630\n26673 40009\n71318 100000\n49654 74432\n98931 100000\n73829 100000\n91628 100000\n34641 51952\n28036 42048\n46270 69373\n83767 100000\n43756 65632\n51654 77408\n17844 26814\n83533 100000\n726 1106\n56092 84126\n97697 100000\n2100 3152\n24615 36925\n47607 71345\n79377 100000\n9959 14952\n98628 100000\n42614 63916\n31767 47666\n21668 32551\n92659 100000\n16930 25445\n26460 39696\n2237 3359\n9045 13562\n93671 100000\n83410 100000\n56635 84944\n6645 9997\n88531 100000\n81066 100000\n393 603\n78366 100000\n79356 100000\n77034 100000\n80140 100000\n90427 100000\n58064 87085\n14010 21063\n62536 93821\n22538 33828\n84805 100000\n46136 69182\n37865 56775\n50019 74976\n80155 100000\n30109 45150\n13127 19711\n47617 71360\n50743 76076\n1810 2724\n74997 100000\n56542 84804\n49392 74028\n10528 15791\n39648 59451\n47712 71504\n77025 100000\n44076 66102\n60273 90420\n39381 59045\n51249 76828\n86180 100000\n76457 100000\n333 510\n25818 38736\n39370 59029\n55977 83947\n46478 69675\n56833 85235\n13534 20335\n38398 57579\n12487 18735\n58600 87890\n4184 6300\n46635 69907\n21371 32120\n90770 100000\n46397 69557\n92394 100000\n85425 100000\n48390 72512\n59071 88600\n77627 100000\n24183 36290\n56745 85098\n2068 3107\n10453 15687\n25012 37532\n11607 17422\n2420 3638\n68258 100000\n44607 66899\n27578 41354\n77581 100000\n71900 100000\n36310 54441\n17433 26201\n75145 100000\n77784 100000\n3677 5539\n64523 96770\n51639 77386\n71738 100000\n9628 14447\n27325 40962\n69766 100000\n58287 87428\n91680 100000\n90363 100000\n84007 100000\n70332 100000\n8291 12444\n40439 60637\n34122 51163\n64778 97154\n23479 35229\n98856 100000\n73997 100000\n10257 15400\n18283 27470\n98455 100000\n77540 100000\n30531 45807\n89189 100000\n55668 83488\n8422 12642\n66109 99183\n82695 100000\n59692 89558\n77758 100000\n15354 23105\n37054 55559\n75667 100000\n12780 19176\n69721 100000\n72424 100000\n14615 21973\n67617 100000\n35448 53157\n12170 18269\n86343 100000\n5921 8899\n38007 56991\n89575 100000\n58162 87234\n74654 100000\n30963 46474\n91824 100000\n86118 100000\n47282 70877\n4067 6116\n39796 59668\n39507 59235\n56704 85043\n30246 45361\n26517 39779\n49758 74594\n586 900\n46213 69288\n80632 100000\n35246 52857\n61546 92318\n30931 46423\n40778 61160\n42588 63878\n41948 62929\n53860 80724\n99342 100000\n85859 100000\n54324 81421\n71640 100000\n89782 100000\n79098 100000\n55887 83813\n26726 40081\n13455 20215\n16359 24595\n62768 94167\n14028 21093\n72367 100000\n69255 100000\n36474 54690\n84212 100000\n24298 36464\n45703 68543\n37589 56362\n28430 42637\n69428 100000\n48186 72207\n36649 54956\n16807 25265\n72125 100000\n25020 37542\n67579 100000\n29488 44225\n53562 80280\n46606 69866\n74086 100000\n41821 62741\n22870 34320\n28652 42973\n50825 76195\n10754 16128\n52225 78271\n69038 100000\n64459 96674\n32818 49225\n28922 43383\n28763 43147\n67563 100000\n96598 100000\n54790 82143\n84526 100000\n11075 16621\n7627 11461\n17848 26819\n63052 94589\n11721 17594\n12427 18651\n85234 100000\n59725 89610\n52285 78358\n43710 65565\n17505 26304\n2331 3507\n98794 100000\n10466 15707\n56399 84593\n77680 100000\n72074 100000\n42595 63888\n28534 42794\n28720 43075\n36662 54975\n82348 100000\n9642 14466\n34313 51448\n9912 14882\n84170 100000\n51223 76793\n75191 100000\n993 1506\n89654 100000\n39434 59125\n49445 74107\n21178 31830\n59560 89347\n42724 64073\n70648 100000\n12402 18611\n17845 26815\n63173 94760\n73305 100000\n84066 100000\n8830 13251\n97626 100000\n51522 77214\n45789 68663\n74837 100000\n15258 22958\n27293 40919\n76086 100000\n44760 67130\n33693 50521\n99363 100000\n86698 100000\n71489 100000\n92195 100000\n78295 100000\n2101 3153\n44819 67213\n33673 50494\n20016 30093\n46735 70055\n21268 31968\n93704 100000\n29146 43710\n61035 91565\n75607 100000\n92701 100000\n11788 17697\n694 1060\n66964 100000\n47895 71767\n77597 100000\n25904 38865\n70118 100000\n28103 42146\n88191 100000\n80390 100000\n83195 100000\n64016 96003\n39779 59646\n79185 100000\n76077 100000\n71539 100000\n40061 60069\n23344 35033\n35718 53549\n16239 24416\n35268 52885\n27053 40554\n7862 11810\n50759 76099\n28856 43284\n58853 88270\n95278 100000\n60561 90851\n71476 100000\n49555 74279\n43917 65870\n61987 92991\n43793 65684\n362 559\n15703 23623\n93600 100000\n70090 100000\n67295 100000\n10912 16371\n12556 18839\n89485 100000\n82492 100000\n51479 77154\n39665 59477\n70879 100000\n94525 100000\n25213 37837\n66555 99845\n64791 97175\n19388 29152\n90440 100000\n9044 13561\n45876 68794\n45967 68923\n89078 100000\n71591 100000\n49476 74154\n89369 100000\n19590 29454\n21563 32409\n48403 72533\n32721 49084\n27427 41125\n38832 58221\n21881 32873\n20842 31327\n42623 63930\n88150 100000\n16351 24583\n43533 65304\n41520 62277\n76838 100000\n62753 94145\n65689 98536\n74670 100000\n46448 69632\n81892 100000\n89930 100000\n52021 77970\n81583 100000\n72683 100000\n59480 89226\n34937 52403\n50779 76126\n88457 100000\n8967 13450\n53220 79772\n29904 44841\n45216 67817\n56956 85419\n37297 55926\n58821 88224\n56781 85154\n69559 100000\n94068 100000\n69692 100000\n47211 70769\n20910 31435\n84797 100000\n86622 100000\n20496 30805\n29368 44056\n22260 33418\n65402 98105\n24540 36821\n51644 77394\n57250 85861\n17369 26110\n45422 68123\n10553 15829\n13595 20430\n17042 25602\n24691 37042\n33345 49997\n23954 35946\n78942 100000\n84527 100000\n16288 24487\n16011 24073\n74887 100000\n80876 100000\n7339 11034\n51012 76474\n46852 70225\n30287 45421\n22078 33157\n91710 100000\n23135 34723\n60044 90091\n54899 82308\n92093 100000\n61180 91780\n78620 100000\n55364 83024\n58745 88112\n23895 35855\n26339 39520\n37371 56033\n65395 98095\n35618 53402\n3076 4643\n25915 38883\n93623 100000\n18156 27277\n8974 13461\n19933 29970\n37004 55486\n96148 100000\n53054 79517\n12742 19123\n1695 2552\n52204 78238\n86545 100000\n46457 69644\n15901 23914\n93884 100000\n88883 100000\n57949 86905\n43853 65770\n10777 16162\n58542 87810\n70723 100000\n61535 92302\n55614 83410\n36588 54862\n50197 75246\n4765 7176\n65939 98922\n22642 33989\n4900 7367\n4108 6182\n39332 58972\n28327 42481\n18258 27431\n2723 4105\n64393 96577\n26679 40018\n38765 58129\n79726 100000\n82870 100000\n43423 65138\n6288 9471\n35442 53148\n69759 100000\n5893 8860\n26762 40135\n42911 64358\n10410 15622\n92895 100000\n99097 100000\n51123 76643\n32599 48895\n89735 100000\n98048 100000\n65494 98240\n26194 39296\n22636 33980\n41915 62882\n21132 31761\n67464 100000\n80061 100000\n74561 100000\n27841 41757\n95947 100000\n6248 9409\n27287 40908\n17152 25774\n19668 29570\n40772 61149\n91186 100000\n64311 96455\n13356 20059\n8913 13375\n43107 64653\n62790 94199\n54046 81004\n25595 38390\n50158 75183\n21424 32203\n73817 100000\n6538 9836\n24704 37063\n59407 89103\n41681 62517\n16842 25317\n30735 46120\n45225 67832\n3595 5412\n36571 54832\n19089 28703\n60176 90282\n96149 100000\n46273 69377\n95895 100000\n90101 100000\n63287 94924\n73592 100000\n50381 75528\n40221 60312\n38888 58304\n575 883\n70952 100000\n37443 56140\n23591 35398\n1630 2457\n2375 3571\n36526 54765\n1394 2107\n58309 87463\n2231 3352\n56713 85056\n8173 12271\n81877 100000\n90500 100000\n38216 57307\n18876 28387\n37142 55689\n93564 100000\n86252 100000\n32904 49352\n57023 85524\n35844 53738\n93804 100000\n96411 100000\n56804 85191\n22357 33557\n70767 100000\n15476 23289\n56337 84495\n29675 44498\n27097 40623\n38531 57785\n42910 64356\n77290 100000\n23499 35260\n57504 86250\n47636 71391\n42676 64000\n61808 92715\n68692 100000\n53505 80198\n57384 86075\n92878 100000\n807 1226\n13865 20843\n8138 12221\n50827 76198\n93727 100000\n61285 91933\n85794 100000\n3414 5152\n41694 62538\n97046 100000\n86505 100000\n22201 33342\n92526 100000\n46138 69185\n80126 100000\n82062 100000\n77924 100000\n21539 32371\n81431 100000\n9408 14113\n61190 91793\n36612 54899\n78965 100000\n56028 84026\n21305 32024\n47723 71523\n52422 78566\n13818 20773\n64873 97296\n86049 100000\n96329 100000\n85175 100000\n23512 35281\n27765 41640\n27114 40649\n76672 100000\n37908 56840\n47101 70600\n14839 22325\n96496 100000\n94186 100000\n69073 100000\n86787 100000\n43623 65433\n36633 54931\n26308 39471\n11438 17169\n85796 100000\n28300 42441\n83481 100000\n11328 17004\n80439 100000\n46114 69147\n72465 100000\n77962 100000\n36527 54767\n95329 100000\n32737 49108\n47374 71012\n30629 45961\n1754 2643\n34687 52024\n11380 17076\n60041 90087\n25077 37638\n10362 15550\n54482 81677\n3138 4732\n448 685\n27208 40785\n10383 15580\n71729 100000\n84249 100000\n84411 100000\n81573 100000\n36393 54571\n54784 82135\n66429 99659\n28333 42491\n5267 7917\n78193 100000\n96882 100000\n80017 100000\n101 157\n23122 34702\n29374 44064\n61860 92801\n69069 100000\n27204 40779\n70139 100000\n36640 54942\n37571 56331\n26546 39825\n92198 100000\n5123 7707\n32635 48951\n35679 53493\n97761 100000\n15 26\n37097 55624\n51895 77774\n36839 55244\n29957 44924\n80069 100000\n9713 14574\n45064 67589\n7718 11593\n9887 14841\n66790 100000\n68002 100000\n15466 23273\n81492 100000\n19886 29898\n43421 65134\n76767 100000\n64519 96763\n52117 78110\n65256 97875\n22670 34030\n98594 100000\n82050 100000\n3238 4886\n29680 44505\n44640 66949\n33567 50335\n84818 100000\n45360 68037\n38096 57127\n43296 64946\n44567 66836\n11302 16966\n45756 68619\n59046 88562\n68574 100000\n21946 32966\n9903 14867\n71352 100000\n182 277\n23493 35248\n33333 49983\n94505 100000\n71616 100000\n73209 100000\n17686 26572\n71444 100000\n18425 27682\n98338 100000\n22804 34222\n95634 100000\n323 494\n97371 100000\n15237 22925\n8860 13295\n27911 41861\n65328 97990\n37061 55569\n71432 100000\n36103 54126\n26763 40137\n17554 26377\n92724 100000\n64337 96492\n31618 47441\n68895 100000\n77638 100000\n12098 18160\n36106 54130\n51604 77337\n66919 100000\n35402 53087\n27883 41820\n70135 100000\n10316 15487\n1007 1527\n67586 100000\n23400 35115\n18496 27790\n10384 15581\n53345 79968\n25054 37596\n45804 68688\n60140 90234\n97886 100000\n60207 90325\n60015 90044\n18285 27473\n1627 2453\n36173 54227\n49723 74539\n74750 100000\n98981 100000\n38183 57261\n32542 48818\n21917 32924\n26298 39456\n60053 90104\n72527 100000\n29584 44359\n80474 100000\n86278 100000\n95890 100000\n99737 100000\n94519 100000\n44635 66942\n33179 49756\n20304 30523\n74834 100000\n88792 100000\n24567 36858\n93656 100000\n62076 93118\n73989 100000\n77639 100000\n11294 16952\n91362 100000\n21106 31727\n24443 36681\n38858 58263\n57224 85820\n78726 100000\n65365 98051\n82618 100000\n45153 67720\n3251 4904\n19440 29228\n26234 39360\n16195 24351\n87571 100000\n65398 98099\n30385 45573\n23744 35626\n15378 23138\n51984 77914\n79174 100000\n72588 100000\n47018 70478\n91133 100000\n66519 99796\n39331 58971\n30149 45215\n25604 38403\n47690 71473\n19522 29352\n72393 100000\n13995 21040\n77578 100000\n74954 100000\n43040 64547\n49913 74825\n76310 100000\n68631 100000\n29962 44932\n61291 91944\n82089 100000\n86976 100000\n19068 28670\n49788 74642\n53797 80626\n13022 19555\n93761 100000\n63455 95167\n27732 41590\n72240 100000\n53201 79742\n12200 18319\n10510 15768\n44376 66554\n25362 38052\n95279 100000\n97717 100000\n55323 82963\n1864 2807\n34673 52001\n86361 100000\n42225 63343\n63875 95790\n9181 13766\n65992 99003\n24450 36692\n39707 59542\n96628 100000\n33819 50718\n47924 71816\n75192 100000\n99031 100000\n97211 100000\n92226 100000\n23948 35937\n49663 74446\n43543 65320\n58689 88024\n63272 94905\n76270 100000\n15095 22716\n52141 78144\n10961 16441\n45200 67791\n20332 30566\n83024 100000\n34030 51026\n13748 20665\n27347 40995\n13536 20337\n1009 1529\n17186 25829\n3232 4878\n33877 50807\n8075 12123\n42033 63049\n64581 96859\n6995 10517\n82274 100000\n49828 74703\n51648 77399\n81154 100000\n91823 100000\n14385 21627\n13768 20694\n59647 89487\n22466 33723\n91643 100000\n20344 30586\n28355 42525\n62086 93131\n52439 78591\n18342 27556\n94861 100000\n56963 85430\n16386 24635\n62146 93217\n58295 87442\n21142 31776\n47974 71894\n57110 85647\n60640 90965\n37616 56407\n44410 66604\n91035 100000\n84010 100000\n10023 15043\n61304 91965\n2416 3632\n75116 100000\n88042 100000\n71865 100000\n23066 34616\n27655 41469\n73673 100000\n46535 69761\n78254 100000\n23600 35412\n42914 64361\n31336 47022\n26878 40301\n9932 14912\n8730 13097\n63147 94726\n98203 100000\n59222 88828\n93914 100000\n20694 31099\n25611 38414\n62971 94465\n9574 14365\n23923 35897\n85668 100000\n11321 16994\n63515 95255\n49657 74437\n52874 79247\n95068 100000\n54907 82321\n34627 51931\n72046 100000\n81828 100000\n20802 31270\n89919 100000\n84243 100000\n36051 54048\n41962 62949\n31192 46816\n45222 67827\n51204 76765\n69246 100000\n38485 57713\n6241 9397\n24774 37171\n6824 10258\n91575 100000\n51739 77539\n38462 57678\n37649 56456\n20407 30673\n24065 36113\n25234 37868\n47604 71341\n17015 25566\n69330 100000\n35502 53233\n36054 54052\n94592 100000\n14542 21864\n86923 100000\n44048 66064\n13925 20938\n68822 100000\n31822 47747\n34684 52020\n53412 80061\n38369 57534\n92605 100000\n62459 93706\n11010 16520\n67564 100000\n25146 37738\n31586 47393\n10161 15250\n85195 100000\n94136 100000\n81388 100000\n34333 51480\n82930 100000\n63803 95674\n22149 33262\n1289 1952\n46950 70370\n55898 83829\n377 577\n12835 19259\n46088 69111\n89206 100000\n4494 6760\n26360 39548\n88811 100000\n87523 100000\n34481 51713\n87204 100000\n80209 100000\n54795 82152\n73578 100000\n39820 59707\n25600 38399\n94200 100000\n62757 94150\n15859 23843\n49912 74823\n69 106\n42825 64231\n41362 62041\n76100 100000\n26658 39992\n3269 4933\n1892 2849\n12124 18198\n30421 45633\n69165 100000\n68307 100000\n48330 72422\n68143 100000\n69181 100000\n58074 87100\n39960 59912\n87118 100000\n23676 35522\n19941 29981\n50958 76394\n57003 85493\n11523 17296\n20881 31389\n558 854\n22597 33919\n61076 91624\n63838 95730\n20929 31462\n21402 32167\n2972 4487\n5516 8288\n16316 24533\n93758 100000\n98175 100000\n45956 68909\n21201 31865\n94531 100000\n9457 14181\n43737 65605\n22221 33367\n94240 100000\n38101 57135\n33360 50020\n96483 100000\n55931 83879\n51623 77364\n97279 100000\n64903 97342\n88241 100000\n942 1431\n96932 100000\n28280 42410\n89650 100000\n18477 27761\n30435 45658\n74323 100000\n77152 100000\n74703 100000\n35597 53371\n20844 31330\n15599 23470\n65191 97776\n36748 55110\n56118 84161\n60047 90096\n31109 46688\n87930 100000\n67927 100000\n75567 100000\n55836 83737\n10977 16468\n75798 100000\n74818 100000\n50376 75522\n69207 100000\n37318 55956\n49733 74553\n21552 32392\n98319 100000\n2298 3454\n86277 100000\n80944 100000\n23252 34894\n88407 100000\n38344 57497\n92456 100000\n52342 78442\n53242 79804\n87119 100000\n28039 42051\n58388 87584\n99704 100000\n95183 100000\n68922 100000\n96618 100000\n43480 65224\n97735 100000\n24978 37480\n76549 100000\n40583 60858\n15953 23986\n2735 4124\n83630 100000\n21400 32163\n81289 100000\n78244 100000\n2152 3230\n37040 55540\n37101 55629\n48861 73237\n27949 41921\n5662 8511\n79170 100000\n42461 63688\n62161 93241\n50359 75496\n5418 8143\n39536 59280\n87175 100000\n61807 92714\n33909 50851\n40840 61252\n76799 100000\n55732 83584\n19903 29921\n18380 27614\n32037 48068\n33007 49503\n17977 27004\n49916 74828\n17517 26320\n44620 66919\n22042 33104\n86176 100000\n45953 68904\n81947 100000\n54882 82283\n11789 17698\n50112 75112\n12660 18999\n3576 5386\n38902 58325\n76624 100000\n98828 100000\n38201 57287\n87779 100000\n94390 100000\n80795 100000\n17611 26460\n93746 100000\n34656 51975\n94834 100000\n78352 100000\n43070 64593\n74724 100000\n42942 64402\n32280 48428\n3490 5262\n27440 41146\n68448 100000\n9979 14976\n30119 45166\n14078 21170\n59945 89942\n67189 100000\n92413 100000\n71929 100000\n74142 100000\n22383 33597\n12207 18330\n50341 75464\n70905 100000\n75500 100000\n85690 100000\n91630 100000\n166 254\n22832 34261\n77611 100000\n43231 64839\n43851 65768\n81900 100000\n89668 100000\n90029 100000\n53483 80162\n89358 100000\n71237 100000\n91645 100000\n92129 100000\n94805 100000\n69371 100000\n17390 26140\n6736 10131\n53670 80437\n89469 100000\n86512 100000\n77973 100000\n12887 19341\n7472 11227\n95988 100000\n32567 48854\n36911 55349\n87445 100000\n9414 14120\n72677 100000\n43509 65267\n33309 49946\n70056 100000\n63618 95409\n15981 24026\n66056 99103\n31555 47347\n45631 68437\n78844 100000\n96004 100000\n47057 70538\n83308 100000\n7638 11478\n50244 75318\n43185 64770\n35075 52607\n91003 100000\n95696 100000\n76880 100000\n81377 100000\n51319 76929\n18295 27488\n76152 100000\n63245 94863\n12773 19164\n89009 100000\n38058 57070\n19453 29247\n2061 3100\n99805 100000\n4422 6658\n45245 67861\n35549 53301\n1458 2207\n41904 62866\n56899 85328\n53232 79789\n27906 41853\n86503 100000\n76598 100000\n25944 38924\n69113 100000\n54383 81522\n23334 35017\n18530 27846\n14701 22116\n94735 100000\n85592 100000\n1344 2037\n43294 64943\n30472 45712\n59688 89551\n76501 100000\n13621 20470\n91238 100000\n23560 35351\n81051 100000\n61012 91531\n40944 61405\n88315 100000\n83 131\n34391 51575\n36850 55259\n59759 89666\n2909 4391\n65455 98180\n28773 43160\n13294 19960\n86149 100000\n12334 18511\n45676 68504\n25440 38170\n57229 85827\n72438 100000\n40156 60212\n51700 77478\n82347 100000\n29176 43753\n82223 100000\n24024 36054\n72937 100000\n78277 100000\n91968 100000\n55 85\n63317 94963\n87816 100000\n48727 73036\n75490 100000\n29654 44464\n37815 56704\n71096 100000\n56457 84680\n35737 53577\n88243 100000\n48897 73293\n9643 14467\n8957 13436\n41223 61830\n46615 69880\n95737 100000\n20179 30335\n80751 100000\n62278 93425\n14946 22485\n58895 88336\n57769 86639\n93155 100000\n34679 52012\n37966 56928\n65155 97724\n28203 42293\n5972 8979\n72100 100000\n6152 9258\n58891 88329\n60340 90525\n76915 100000\n9283 13926\n41324 61986\n48201 72226\n4694 7065\n94644 100000\n91661 100000\n49415 74061\n67288 100000\n57419 86123\n71000 100000\n83556 100000\n34212 51298\n14341 21564\n85835 100000\n4748 7146\n1243 1884\n43132 64693\n22527 33811\n65962 98957\n53111 79598\n72993 100000\n53667 80433\n32336 48513\n95215 100000\n90272 100000\n27461 41180\n67514 100000\n15551 23400\n30625 45955\n81749 100000\n49873 74770\n44103 66142\n88437 100000\n66323 99500\n79057 100000\n600 921\n85902 100000\n34718 52069\n22808 34228\n8672 13012\n2816 4250\n47322 70933\n84446 100000\n37850 56754\n2271 3414\n97976 100000\n66031 99063\n14589 21934\n48055 72010\n18609 27965\n13913 20917\n36218 54297\n84459 100000\n96175 100000\n22158 33277\n73197 100000\n51899 77780\n43303 64955\n55958 83920\n73082 100000\n70377 100000\n38126 57169\n34298 51428\n47137 70657\n51554 77263\n30912 46393\n58624 87929\n86637 100000\n12126 18201\n16407 24667\n16867 25354\n80344 100000\n27814 41714\n83838 100000\n75296 100000\n68268 100000\n92206 100000\n48250 72300\n61517 92276\n73607 100000\n12478 18724\n97270 100000\n3154 4758\n7245 10892\n14466 21751\n72669 100000\n58299 87448\n51486 77164\n14970 22519\n75439 100000\n20547 30872\n97508 100000\n83448 100000\n12434 18661\n39146 58676\n90822 100000\n50943 76372\n24785 37188\n39075 58573\n13734 20646\n29498 44239\n71755 100000\n66442 99680\n8012 12027\n24943 37426\n48839 73203\n90462 100000\n1583 2391\n22295 33468\n14664 22056\n46823 70183\n60673 91016\n52228 78274\n18501 27798\n49005 73450\n73782 100000\n93065 100000\n23469 35216\n50250 75329\n9767 14656\n84675 100000\n90231 100000\n27622 41417\n22608 33936\n63146 94725\n63166 94751\n63375 95051\n36699 55028\n83326 100000\n65834 98762\n13379 20092\n97142 100000\n15652 23549\n19792 29759\n81280 100000\n26524 39791\n93212 100000\n54353 81469\n98274 100000\n80084 100000\n9529 14297\n13950 20974\n56513 84761\n34054 51062\n23065 34615\n45960 68914\n44937 67393\n94260 100000\n94212 100000\n19994 30062\n66629 99954\n81442 100000\n32754 49131\n9341 14016\n48418 72557\n76233 100000\n15670 23575\n41958 62945\n17644 26508\n12012 18030\n62873 94324\n63535 95282\n36000 53971\n64133 96187\n94964 100000\n47759 71573\n98257 100000\n48004 71937\n10955 16430\n89531 100000\n52479 78649\n99886 100000\n55465 83176\n14475 21765\n79624 100000\n7755 11653\n92409 100000\n75295 100000\n64092 96121\n73534 100000\n10509 15767\n3621 5451\n9299 13952\n64483 96709\n46382 69535\n97653 100000\n92022 100000\n24045 36084\n42670 63993\n17526 26336\n1564 2366\n1504 2277\n40821 61224\n56802 85187\n97941 100000\n25981 38977\n53019 79461\n74358 100000\n48772 73100\n32864 49291\n69524 100000\n83659 100000\n56259 84380\n23597 35406\n55198 82776\n10616 15921\n68656 100000\n71220 100000\n99521 100000\n73594 100000\n78975 100000\n39178 58723\n1134 1714\n78829 100000\n41128 61681\n28950 43428\n97580 100000\n13119 19700\n78301 100000\n16180 24325\n12669 19016\n81219 100000\n82299 100000\n79116 100000\n74012 100000\n12847 19278\n16956 25480\n1286 1949\n14435 21701\n30496 45748\n18475 27757\n98049 100000\n60209 90328\n18821 28304\n14005 21057\n97337 100000\n27397 41077\n97212 100000\n49300 73889\n96250 100000\n76147 100000\n18117 27217\n3210 4843\n67201 100000\n17355 26088\n36853 55262\n86636 100000\n97770 100000\n80326 100000\n2124 3185\n97258 100000\n85123 100000\n7440 11178\n1000 1516\n24763 37154\n8042 12070\n35680 53494\n64611 96904\n20659 31046\n20168 30320\n96264 100000\n25927 38902\n22952 34441\n92042 100000\n97288 100000\n48002 71935\n92143 100000\n11384 17084\n24260 36403\n46696 69995\n18267 27444\n65309 97960\n37402 56077\n99302 100000\n14621 21984\n11928 17904\n32889 49329\n78970 100000\n38742 58093\n90700 100000\n57375 86060\n39173 58716\n91242 100000\n8390 12595\n45499 68242\n4984 7498\n67791 100000\n98371 100000\n86191 100000\n98682 100000\n64339 96496\n42665 63985\n61463 92201\n58481 87721\n83574 100000\n92872 100000\n37309 55942\n55095 82619\n5848 8792\n63520 95263\n66892 100000\n65126 97679\n73756 100000\n57916 86855\n85551 100000\n45418 68118\n35151 52718\n42255 63384\n19848 29842\n28326 42480\n3787 5707\n75193 100000\n93459 100000\n49125 73632\n95426 100000\n78050 100000\n98840 100000\n49579 74315\n65650 98481\n20478 30777\n90116 100000\n59764 89673\n46042 69044\n71774 100000\n11059 16597\n29518 44271\n28073 42100\n32918 49374\n53011 79450\n63440 95144\n15880 23878\n11666 17510\n93458 100000\n7376 11086\n414 635\n11902 17870\n61274 91914\n74008 100000\n51964 77880\n37466 56177\n2295 3450\n71705 100000\n75551 100000\n33590 50370\n27877 41810\n23027 34552\n97293 100000\n57204 85790\n64842 97249\n39121 58638\n72479 100000\n63097 94658\n83848 100000\n38447 57656\n92691 100000\n88287 100000\n88775 100000\n27246 40848\n26676 40014\n67151 100000\n1395 2109\n49384 74016\n34966 52444\n97067 100000\n64207 96300\n33023 49525\n84364 100000\n51500 77184\n66209 99331\n48082 72052\n15243 22936\n97484 100000\n57259 85876\n7930 11917\n78966 100000\n23773 35669\n34010 50997\n80290 100000\n60791 91196\n86143 100000\n11898 17862\n60455 90699\n35815 53697\n39210 58780\n76968 100000\n11752 17641\n16393 24646\n73239 100000\n2332 3508\n20288 30497\n36323 54464\n88144 100000\n11314 16982\n22813 34235\n5861 8814\n95501 100000\n31548 47335\n28005 41999\n79893 100000\n10258 15402\n50331 75452\n96796 100000\n99258 100000\n28782 43173\n8456 12690\n21557 32401\n66600 99912\n10171 15269\n10323 15495\n42153 63230\n40263 60377\n42545 63812\n58636 87949\n92404 100000\n36225 54308\n82454 100000\n83743 100000\n88614 100000\n6078 9142\n37092 55616\n57238 85840\n37606 56390\n84379 100000\n79487 100000\n69534 100000\n31492 47248\n40338 60484\n1811 2725\n52890 79270\n74618 100000\n20452 30737\n69849 100000\n26760 40133\n30710 46083\n97172 100000\n89265 100000\n63727 95563\n45603 68399\n65940 98924\n98506 100000\n90905 100000\n92601 100000\n55002 82471\n90326 100000\n56400 84594\n20747 31181\n19213 28883\n49817 74687\n86690 100000\n56128 84176\n7148 10752\n93963 100000\n20613 30977\n90175 100000\n57087 85614\n82807 100000\n24071 36121\n71545 100000\n78522 100000\n41725 62588\n13344 20042\n48371 72486\n44108 66150\n49962 74892\n50654 75941\n49454 74121\n5082 7645\n1311 1987\n97445 100000\n56042 84047\n23725 35597\n86345 100000\n9737 14609\n14278 21468\n18870 28379\n29044 43564\n48972 73401\n25925 38898\n47735 71540\n73425 100000\n73448 100000\n81550 100000\n52655 78914\n98916 100000\n89935 100000\n62017 93034\n46352 69493\n7882 11839\n50493 75700\n74183 100000\n93814 100000\n63670 95483\n16892 25387\n88882 100000\n33605 50392\n11323 16997\n91220 100000\n72292 100000\n92866 100000\n2551 3843\n2090 3135\n72352 100000\n83242 100000\n14846 22334\n26868 40287\n19397 29164\n28684 43021\n40499 60730\n52690 78966\n24689 37039\n93956 100000\n98218 100000\n91194 100000\n53769 80585\n34124 51167\n89058 100000\n3884 5845\n65157 97727\n60857 91294\n57735 86590\n65196 97783\n41079 61612\n83029 100000\n24035 36069\n55347 82998\n77527 100000\n66182 99291\n397 608\n28126 42176\n19373 29128\n16671 25069\n50311 75421\n58973 88454\n31453 47190\n17970 26995\n18290 27480\n28069 42095\n72854 100000\n733 1118\n52975 79392\n37041 55541\n95228 100000\n70909 100000\n9054 13572\n23854 35793\n69471 100000\n86621 100000\n31683 47539\n19846 29838\n75674 100000\n7766 11670\n49140 73654\n98941 100000\n44226 66330\n27624 41419\n27421 41115\n29308 43959\n2701 4066\n98006 100000\n7753 11650\n30092 45125\n93236 100000\n19347 29086\n37844 56746\n59899 89872\n57235 85836\n96214 100000\n76019 100000\n62973 94467\n75644 100000\n36306 54435\n86678 100000\n53606 80345\n77118 100000\n55183 82754\n81247 100000\n43972 65952\n41632 62444\n89614 100000\n25782 38678\n99145 100000\n2004 3012\n89365 100000\n63071 94618\n3766 5674\n98434 100000\n27431 41131\n7615 11443\n23390 35099\n8969 13453\n72234 100000\n71116 100000\n17674 26556\n1205 1825\n92301 100000\n86075 100000\n51559 77270\n6636 9986\n17495 26291\n39117 58632\n82910 100000\n78997 100000\n1763 2654\n68606 100000\n9609 14419\n80519 100000\n15221 22898\n46106 69136\n25871 38814\n44264 66388\n91591 100000\n55830 83728\n63621 95412\n84614 100000\n64022 96014\n79575 100000\n20282 30489\n27550 41313\n36508 54739\n20251 30445\n13608 20449\n80138 100000\n16016 24082\n33447 50153\n513 787\n22794 34206\n48836 73198\n6456 9719\n38119 57159\n25771 38660\n89377 100000\n4909 7382\n21804 32758\n36875 55293\n27948 41919\n49224 73777\n86986 100000\n82503 100000\n8035 12061\n89062 100000\n15499 23323\n54160 81178\n92562 100000\n43809 65708\n67642 100000\n58062 87082\n59751 89653\n78350 100000\n44641 66950\n92178 100000\n40599 60883\n145 222\n71860 100000\n4618 6953\n97276 100000\n59155 88728\n73841 100000\n97754 100000\n23864 35806\n42456 63679\n32450 48683\n79095 100000\n7499 11269\n2220 3336\n29950 44913\n72197 100000\n50104 75100\n37669 56487\n60377 90579\n66758 100000\n81499 100000\n60100 90178\n38053 57063\n89992 100000\n31435 47164\n84329 100000\n86354 100000\n86324 100000\n78828 100000\n46285 69393\n24627 36945\n99468 100000\n50584 75831\n353 545\n34954 52425\n1802 2712\n45024 67523\n68855 100000\n58035 87037\n47235 70801\n61498 92250\n75783 100000\n59861 89815\n60895 91357\n36759 55128\n49914 74826\n86915 100000\n35418 53112\n39126 58646\n47582 71306\n60739 91113\n44778 67155\n86807 100000\n7982 11989\n6221 9367\n24713 37077\n92983 100000\n49615 74368\n9833 14753\n92187 100000\n4495 6761\n9949 14936\n57347 86014\n14360 21591\n64901 97338\n46394 69554\n96348 100000\n98402 100000\n36338 54485\n75552 100000\n97550 100000\n46419 69590\n62540 93827\n59812 89742\n28369 42548\n56516 84766\n46027 69018\n93197 100000\n10051 15084\n34914 52371\n80203 100000\n55608 83400\n72397 100000\n40027 60016\n45127 67681\n24128 36213\n13910 20912\n7068 10627\n37785 56660\n66473 99729\n60903 91368\n78838 100000\n1963 2954\n7416 11144\n59923 89907\n60999 91511\n56336 84493\n70683 100000\n83272 100000\n44361 66532\n77261 100000\n16076 24169\n47447 71111\n41246 61865\n91871 100000\n31528 47304\n51910 77794\n64565 96836\n20317 30542\n32002 48018\n1699 2558\n18344 27559\n8698 13051\n56393 84584\n68458 100000\n31026 46570\n79686 100000\n25172 37777\n58639 87952\n67907 100000\n46617 69882\n37002 55482\n56477 84707\n69086 100000\n78187 100000\n61367 92061\n16307 24520\n48697 72990\n69928 100000\n38538 57795\n92576 100000\n80540 100000\n60444 90685\n81982 100000\n27036 40531\n30253 45370\n76341 100000\n15302 23027\n66886 100000\n65312 97964\n14625 21992\n89112 100000\n45149 67715\n13997 21043\n98156 100000\n51134 76659\n40483 60709\n15199 22869\n35653 53455\n48893 73285\n31954 47941\n30000 44986\n9960 14953\n36066 54068\n71267 100000\n42422 63632\n93161 100000\n31265 46915\n49371 73996\n69626 100000\n20194 30358\n32891 49332\n16555 24895\n46974 70409\n80168 100000\n93750 100000\n82340 100000\n41017 61514\n16141 24267\n20040 30129\n53996 80930\n13988 21029\n91508 100000\n10689 16026\n6484 9757\n26747 40111\n33437 50140\n11619 17437\n13801 20745\n50200 75249\n55681 83509\n77684 100000\n63039 94568\n88836 100000\n68605 100000\n14000 21049\n89335 100000\n61340 92019\n24769 37163\n85791 100000\n1149 1738\n70931 100000\n2960 4468\n96966 100000\n55566 83335\n98563 100000\n68452 100000\n70369 100000\n93108 100000\n37047 55550\n24723 37091\n34238 51338\n69259 100000\n55417 83100\n70854 100000\n6036 9076\n83071 100000\n99797 100000\n51754 77559\n8763 13149\n24925 37398\n20838 31322\n96038 100000\n7854 11799\n32160 48251\n79765 100000\n70718 100000\n7410 11134\n96429 100000\n79814 100000\n77506 100000\n55672 83495\n57187 85763\n61419 92135\n56181 84255\n84333 100000\n43915 65867\n13337 20029\n77142 100000\n52109 78098\n91519 100000\n11547 17332\n37858 56765\n87979 100000\n18233 27396\n51330 76943\n91741 100000\n10223 15347\n1056 1594\n19531 29365\n64411 96604\n57662 86486\n81022 100000\n90342 100000\n54647 81920\n66854 100000\n93291 100000\n12616 18930\n71410 100000\n14872 22373\n2986 4509\n1496 2264\n69672 100000\n41134 61691\n94108 100000\n50697 76002\n67548 100000\n82524 100000\n26124 39194\n3048 4598\n6990 10510\n95369 100000\n32161 48252\n11670 17517\n51872 77744\n4882 7341\n78926 100000\n51266 76853\n24502 36763\n79294 100000\n73721 100000\n68248 100000\n92003 100000\n3353 5061\n53537 80243\n70976 100000\n83542 100000\n56755 85112\n36440 54638\n53424 80081\n37824 56715\n85295 100000\n56850 85261\n52667 78935\n54661 81946\n41641 62459\n85694 100000\n50013 74967\n21533 32364\n39307 58933\n61494 92245\n95923 100000\n53018 79459\n15663 23564\n59955 89958\n21871 32859\n34350 51509\n22052 33118\n69432 100000\n72045 100000\n98626 100000\n4125 6210\n32353 48541\n26383 39581\n45574 68355\n42798 64191\n77705 100000\n65931 98910\n36795 55187\n38280 57409\n35611 53390\n6418 9672\n81172 100000\n95367 100000\n69406 100000\n46935 70351\n21116 31741\n92915 100000\n41918 62886\n30094 45127\n13005 19525\n951 1445\n44156 66225\n19167 28819\n89522 100000\n94330 100000\n97540 100000\n80296 100000\n15777 23727\n85555 100000\n44487 66718\n28478 42714\n707 1079\n42346 63515\n22314 33499\n20993 31559\n77060 100000\n14598 21947\n76992 100000\n40725 61071\n12604 18912\n9230 13845\n61135 91709\n96854 100000\n75326 100000\n83890 100000\n68982 100000\n29344 44020\n88233 100000\n95343 100000\n7185 10807\n59081 88614\n93064 100000\n39582 59354\n19001 28572\n14709 22128\n37373 56036\n1746 2630\n58208 87303\n70430 100000\n73029 100000\n40822 61226\n71714 100000\n36227 54311\n8149 12236\n31289 46949\n23247 34885\n15689 23602\n55972 83941\n68099 100000\n89617 100000\n40083 60102\n33150 49713\n26221 39340\n14741 22180\n61465 92204\n31327 47008\n60985 91489\n70223 100000\n32273 48420\n20835 31319\n86617 100000\n93593 100000\n74754 100000\n43473 65216\n10493 15745\n55008 82482\n50877 76274\n60346 90533\n21649 32523\n39985 59950\n56895 85323\n70026 100000\n12917 19387\n15252 22950\n77565 100000\n37351 56001\n97681 100000\n64486 96713\n44725 67078\n98627 100000\n5699 8566\n60583 90882\n66440 99677\n68625 100000\n5935 8920\n9840 14765\n77476 100000\n29526 44281\n73470 100000\n60793 91198\n90684 100000\n29614 44404\n47765 71580\n53913 80807\n77870 100000\n26304 39464\n21953 32976\n83552 100000\n8334 12512\n98164 100000\n16719 25139\n52897 79278\n49722 74537\n99620 100000\n9936 14918\n32997 49489\n73458 100000\n23686 35536\n52272 78338\n16021 24090\n99546 100000\n64167 96238\n49720 74533\n38181 57258\n73335 100000\n96518 100000\n24821 37245\n44574 66848\n5952 8948\n31922 47892\n91897 100000\n28834 43249\n80094 100000\n55718 83565\n35243 52853\n71937 100000\n29297 43941\n65813 98728\n85583 100000\n1794 2703\n4605 6932\n31383 47088\n33543 50297\n34837 52252\n87127 100000\n17955 26976\n38474 57695\n92270 100000\n92742 100000\n82066 100000\n45745 68605\n38976 58430\n85525 100000\n20012 30088\n58505 87755\n7340 11035\n87730 100000\n40178 60249\n24497 36756\n40111 60143\n762 1161\n77866 100000\n67430 100000\n96341 100000\n68488 100000\n18 31\n58776 88158\n26761 40134\n73679 100000\n31777 47680\n67683 100000\n14069 21156\n44979 67449\n73991 100000\n17465 26248\n92163 100000\n45415 68114\n81391 100000\n27810 41709\n47885 71755\n24294 36458\n96895 100000\n70685 100000\n97546 100000\n10205 15317\n71951 100000\n72238 100000\n83908 100000\n12295 18451\n78642 100000\n42833 64241\n58077 87104\n60394 90609\n972 1476\n29897 44833\n48564 72786\n96304 100000\n19061 28658\n62588 93894\n34743 52110\n6264 9432\n72767 100000\n24323 36504\n44087 66119\n2947 4449\n9290 13939\n41139 61698\n30265 45389\n25125 37708\n93891 100000\n1573 2380\n1273 1929\n38870 58280\n93388 100000\n3024 4564\n94463 100000\n7931 11918\n77105 100000\n6862 10314\n90352 100000\n21966 32991\n50507 75718\n78029 100000\n29634 44436\n68461 100000\n15020 22594\n58889 88326\n23806 35717\n41524 62284\n49787 74640\n67560 100000\n40220 60311\n60287 90441\n82515 100000\n56175 84246\n41160 61731\n53316 79923\n97426 100000\n234 360\n71431 100000\n16665 25060\n65883 98838\n4054 6094\n49761 74599\n38648 57952\n8988 13478\n13362 20068\n60448 90690\n62526 93809\n86054 100000\n2426 3648\n66608 99924\n10539 15809\n68340 100000\n5046 7589\n31260 46909\n69738 100000\n76466 100000\n86036 100000\n82295 100000\n26495 39746\n84207 100000\n41716 62574\n81153 100000\n71933 100000\n7662 11515\n87448 100000\n42432 63647\n23208 34831\n85940 100000\n37742 56591\n96413 100000\n23563 35356\n28538 42799\n28603 42895\n23300 34967\n30483 45729\n63676 95490\n96789 100000\n71503 100000\n15603 23476\n43794 65685\n22324 33512\n23631 35453\n74399 100000\n93508 100000\n47694 71477\n96848 100000\n54559 81788\n67766 100000\n93986 100000\n73654 100000\n5739 8619\n83548 100000\n19685 29598\n50152 75172\n62387 93599\n34331 51478\n95094 100000\n21184 31839\n78948 100000\n96773 100000\n26806 40201\n88689 100000\n12010 18028\n34138 51188\n74180 100000\n52675 78947\n21147 31783\n97750 100000\n24507 36773\n51685 77456\n71850 100000\n27027 40519\n16623 24995\n24225 36351\n28156 42220\n52591 78818\n49274 73847\n83243 100000\n60361 90558\n49369 73993\n93819 100000\n73491 100000\n67338 100000\n61116 91682\n98553 100000\n11053 16587\n43085 64615\n85135 100000\n77877 100000\n23221 34851\n17487 26279\n27970 41951\n31577 47379\n69658 100000\n33740 50593\n20516 30831\n80184 100000\n76769 100000\n62283 93431\n84129 100000\n48867 73246\n63237 94853\n58860 88281\n36624 54918\n49985 74930\n43963 65940\n13250 19900\n32530 48800\n67917 100000\n53629 80381\n20633 31007\n18373 27604\n67479 100000\n28813 43219\n58094 87129\n39747 59597\n61850 92786\n22075 33152\n57344 86010\n2709 4080\n86776 100000\n38601 57883\n32767 49150\n3065 4626\n1112 1676\n98066 100000\n26938 40387\n71955 100000\n72123 100000\n74950 100000\n86127 100000\n46375 69526\n45811 68699\n15161 22814\n92544 100000\n78713 100000\n7288 10957\n68881 100000\n28927 43391\n43360 65041\n31806 47724\n14335 21555\n51499 77182\n1563 2364\n42352 63523\n684 1044\n92303 100000\n22227 33375\n33731 50581\n11655 17493\n31180 46799\n30469 45707\n1284 1947\n41061 61584\n78162 100000\n53557 80272\n79400 100000\n96527 100000\n69788 100000\n61227 91847\n51903 77786\n74267 100000\n56019 84014\n41200 61793\n33493 50224\n78987 100000\n39587 59361\n22984 34487\n45145 67709\n48524 72722\n89535 100000\n62846 94286\n74400 100000\n30877 46338\n2933 4427\n62402 93619\n14915 22437\n19497 29316\n57636 86444\n95290 100000\n93631 100000\n52671 78941\n72699 100000\n91013 100000\n62441 93678\n89430 100000\n89812 100000\n76950 100000\n99164 100000\n62905 94370\n25557 38337\n37953 56910\n72780 100000\n95436 100000\n81168 100000\n47091 70588\n51504 77190\n11589 17394\n20451 30735\n85271 100000\n12468 18709\n83974 100000\n3601 5421\n9490 14234\n64880 97304\n21827 32791\n1012 1532\n70954 100000\n27085 40606\n32402 48612\n43344 65019\n36340 54488\n31925 47897\n97884 100000\n25527 38292\n77874 100000\n93579 100000\n46523 69743\n29208 43800\n69652 100000\n51222 76792\n77952 100000\n6189 9319\n23398 35112\n73849 100000\n61830 92750\n83933 100000\n54645 81916\n53610 80352\n15529 23366\n84790 100000\n43145 64714\n68348 100000\n55665 83484\n5704 8573\n50041 75009\n46603 69861\n20402 30665\n159 242\n70599 100000\n74928 100000\n77937 100000\n85102 100000\n27818 41720\n86098 100000\n96074 100000\n30123 45173\n89126 100000\n23391 35101\n89965 100000\n55763 83637\n883 1341\n7519 11301\n29166 43739\n62463 93712\n76784 100000\n82297 100000\n40823 61227\n25545 38319\n71973 100000\n26534 39806\n63361 95031\n20889 31400\n30727 46107\n63629 95423\n9902 14866\n93905 100000\n18946 28493\n47744 71552\n24720 37088\n93390 100000\n7548 11344\n47341 70963\n3722 5608\n54843 82226\n10110 15176\n56076 84097\n36521 54756\n758 1156\n68557 100000\n62797 94209\n98725 100000\n96386 100000\n18338 27550\n62580 93881\n77322 100000\n60672 91014\n86971 100000\n97152 100000\n93086 100000\n78744 100000\n45810 68698\n53123 79617\n33565 50332\n80864 100000\n94455 100000\n34051 51057\n33206 49800\n40748 61107\n62230 93355\n76680 100000\n4486 6749\n46 72\n63331 94987\n30381 45568\n19046 28637\n36727 55076\n97548 100000\n7509 11286\n19888 29901\n56410 84610\n64480 96705\n9966 14959\n51142 76670\n37513 56245\n15929 23950\n56091 84124\n55766 83640\n16122 24239\n41112 61656\n18277 27459\n93573 100000\n84094 100000\n14692 22101\n90279 100000\n43881 65810\n22339 33532\n69393 100000\n75459 100000\n24897 37353\n66330 99511\n79049 100000\n78574 100000\n38334 57485\n78046 100000\n63944 95889\n72625 100000\n90967 100000\n69714 100000\n58204 87297\n86154 100000\n38917 58347\n43404 65108\n14180 21325\n82753 100000\n74647 100000\n74306 100000\n69699 100000\n74200 100000\n82160 100000\n43169 64749\n97905 100000\n43674 65510\n79445 100000\n33990 50967\n82977 100000\n37996 56974\n63503 95238\n88167 100000\n11091 16649\n4680 7046\n55512 83251\n66158 99257\n27123 40661\n16479 24782\n6889 10355\n51816 77658\n81536 100000\n818 1243\n87515 100000\n85969 100000\n54363 81485\n36068 54072\n35417 53111\n9318 13983\n82579 100000\n65656 98490\n66843 100000\n53760 80572\n8939 13410\n51452 77119\n76309 100000\n54039 80993\n16394 24648\n81832 100000\n14217 21381\n12094 18156\n55218 82806\n33588 50366\n52410 78548\n16984 25521\n69437 100000\n58014 87005\n4800 7226\n48491 72670\n47739 71546\n92092 100000\n65705 98563\n4728 7118\n74442 100000\n82940 100000\n67997 100000\n77918 100000\n28793 43187\n13683 20566\n51448 77114\n44745 67107\n99386 100000\n68369 100000\n85787 100000\n14358 21589\n77136 100000\n22187 33321\n77497 100000\n60896 91359\n76257 100000\n37801 56684\n29196 43782\n39294 58912\n44975 67444\n71015 100000\n93857 100000\n20998 31568\n8120 12195\n32433 48660\n7129 10721\n14617 21976\n36923 55365\n8815 13227\n45982 68946\n77644 100000\n51613 77350\n71298 100000\n58956 88430\n91568 100000\n76759 100000\n55926 83870\n44914 67360\n59597 89409\n57078 85604\n46398 69558\n35311 52950\n50802 76161\n97418 100000\n46053 69061\n40492 60722\n43677 65513\n74625 100000\n59027 88534\n40431 60626\n83597 100000\n64598 96884\n56274 84400\n17741 26656\n84520 100000\n39638 59437\n60712 91073\n77117 100000\n67711 100000\n33549 50308\n66190 99302\n33241 49848\n68971 100000\n83995 100000\n35212 52807\n11346 17030\n71759 100000\n45055 67573\n20947 31489\n46466 69656\n98581 100000\n57304 85948\n55367 83029\n85014 100000\n97679 100000\n47490 71169\n20598 30953\n99990 100000\n88644 100000\n51963 77878\n54191 81221\n55377 83042\n7802 11718\n14759 22207\n3009 4543\n74688 100000\n86569 100000\n31627 47454\n82380 100000\n78408 100000\n84078 100000\n38042 57048\n71871 100000\n2289 3443\n11221 16838\n63396 95078\n69429 100000\n29685 44510\n96028 100000\n72499 100000\n12700 19060\n71769 100000\n32050 48088\n10633 15947\n53254 79823\n1428 2161\n91550 100000\n11577 17375\n46379 69532\n2121 3181\n45426 68130\n29932 44887\n71600 100000\n78222 100000\n91582 100000\n25466 38210\n1531 2317\n53124 79619\n1606 2423\n13190 19811\n12249 18389\n57847 86749\n54984 82440\n95073 100000\n75689 100000\n43295 64944\n11278 16925\n33606 50393\n69175 100000\n51139 76666\n95389 100000\n71216 100000\n8555 12833\n67207 100000\n43998 65992\n3593 5410\n16100 24205\n47518 71209\n51755 77560\n10211 15327\n77735 100000\n27766 41641\n40993 61477\n51315 76922\n37734 56581\n77543 100000\n66772 100000\n94275 100000\n90746 100000\n31532 47309\n57673 86504\n71296 100000\n31196 46823\n97242 100000\n68322 100000\n13506 20293\n88517 100000\n79880 100000\n94442 100000\n50710 76022\n81596 100000\n35199 52789\n4902 7371\n72705 100000\n95560 100000\n71547 100000\n35089 52624\n88668 100000\n915 1391\n53157 79671\n27659 41474\n53082 79559\n22011 33059\n51290 76887\n18546 27871\n64773 97147\n67697 100000\n6031 9066\n88128 100000\n8654 12983\n10106 15169\n43818 65722\n10543 15815\n40397 60575\n4687 7055\n32387 48590\n44254 66372\n20618 30983\n34167 51234\n93447 100000\n37254 55862\n71242 100000\n19231 28909\n47823 71664\n60956 91448\n23642 35469\n9889 14845\n3229 4874\n5037 7575\n92065 100000\n61601 92405\n12236 18370\n36210 54285\n52814 79153\n79806 100000\n51192 76745\n40829 61235\n13588 20418\n49677 74466\n23401 35116\n81080 100000\n60863 91304\n56861 85276\n7689 11555\n39548 59299\n80133 100000\n28469 42699\n93823 100000\n72671 100000\n59493 89249\n60907 91373\n28336 42495\n72242 100000\n76623 100000\n43965 65943\n75211 100000\n82649 100000\n17853 26825\n86488 100000\n29885 44815\n14898 22409\n51643 77393\n96073 100000\n88809 100000\n81250 100000\n30243 45355\n47407 71053\n93962 100000\n71027 100000\n1024 1547\n9798 14703\n65615 98428\n89054 100000\n75963 100000\n13179 19793\n5134 7725\n83085 100000\n32621 48929\n47243 70813\n51758 77566\n17525 26334\n42133 63197\n5986 8995\n75415 100000\n9996 15003\n89937 100000\n44849 67259\n33786 50668\n16590 24946\n38646 57948\n16339 24565\n20311 30533\n45381 68067\n15180 22839\n74411 100000\n72940 100000\n5825 8758\n63285 94921\n37960 56920\n44208 66301\n56050 84060\n70292 100000\n46789 70135\n93019 100000\n84205 100000\n78626 100000\n11639 17471\n72386 100000\n41456 62180\n4759 7166\n10909 16367\n30329 45482\n6364 9590\n39516 59249\n87983 100000\n48990 73429\n92808 100000\n20038 30126\n46007 68987\n17869 26845\n89039 100000\n18989 28556\n76960 100000\n5518 8291\n60598 90905\n41120 61669\n46817 70175\n42785 64168\n40205 60291\n42801 64196\n27695 41526\n88116 100000\n24628 36947\n61515 92274\n54573 81808\n41025 61525\n78661 100000\n7059 10613\n64386 96566\n68441 100000\n44496 66734\n30617 45941\n12112 18178\n34062 51075\n89258 100000\n86489 100000\n82731 100000\n86954 100000\n37517 56252\n86626 100000\n5514 8284\n25231 37863\n10797 16193\n6422 9677\n9870 14815\n3725 5613\n87964 100000\n85767 100000\n21789 32734\n97277 100000\n86126 100000\n83925 100000\n4174 6284\n20103 30219\n70109 100000\n31959 47951\n45244 67859\n96878 100000\n89615 100000\n4228 6365\n49029 73488\n83218 100000\n59086 88621\n59569 89361\n88693 100000\n69762 100000\n32236 48366\n6358 9581\n75813 100000\n56806 85194\n15501 23325\n27099 40626\n47828 71671\n97018 100000\n22082 33162\n98321 100000\n89004 100000\n39476 59186\n61913 92880\n65985 98991\n7536 11327\n50499 75708\n47963 71875\n21800 32753\n35710 53538\n8452 12685\n25558 38339\n4411 6641\n56782 85156\n12646 18978\n38625 57916\n8479 12723\n9663 14496\n40076 60093\n3758 5662\n17750 26670\n73349 100000\n69561 100000\n31640 47474\n26095 39154\n27840 41756\n45289 67931\n43054 64569\n81563 100000\n60393 90608\n76146 100000\n44603 66893\n53984 80914\n22675 34036\n47982 71906\n35747 53592\n16028 24100\n14895 22406\n24605 36911\n92990 100000\n14986 22544\n73875 100000\n63579 95345\n31422 47146\n81538 100000\n11370 17061\n83255 100000\n98213 100000\n47709 71499\n56921 85366\n55747 83610\n73102 100000\n98889 100000\n89423 100000\n9684 14530\n53511 80207\n76131 100000\n34470 51697\n66229 99363\n36760 55130\n22174 33302\n54955 82393\n62321 93494\n3400 5134\n11279 16927\n18255 27427\n74030 100000\n75466 100000\n30368 45545\n89591 100000\n21080 31687\n94513 100000\n63383 95061\n17563 26390\n74201 100000\n34290 51414\n65373 98064\n65332 97996\n32614 48919\n64860 97274\n68359 100000\n86006 100000\n7122 10711\n41267 61901\n48770 73097\n48919 73324\n55556 83320\n23743 35625\n63090 94648\n88035 100000\n58189 87275\n88211 100000\n78583 100000\n30520 45788\n98587 100000\n9362 14046\n74368 100000\n74032 100000\n28212 42307\n70095 100000\n3436 5186\n26393 39595\n32341 48522\n63259 94885\n29608 44396\n24718 37085\n23189 34801\n67281 100000\n12551 18831\n72377 100000\n13658 20527\n38659 57969\n41313 61972\n46052 69060\n83901 100000\n53187 79720\n16536 24865\n96843 100000\n98428 100000\n35670 53480\n80909 100000\n86138 100000\n66811 100000\n13624 20475\n51080 76575\n87066 100000\n41344 62014\n4013 6028\n50901 76312\n8018 12037\n79817 100000\n53248 79814\n46272 69376\n15061 22664\n15398 23170\n93586 100000\n94963 100000\n64216 96313\n59211 88811\n483 738\n12156 18247\n87570 100000\n44784 67165\n61281 91926\n30595 45904\n74366 100000\n70459 100000\n76240 100000\n5132 7722\n1242 1882\n22740 34128\n18427 27686\n40530 60775\n76428 100000\n93570 100000\n82778 100000\n27423 41119\n65011 97506\n94117 100000\n41376 62062\n90890 100000\n68133 100000\n34889 52335\n95291 100000\n14867 22365\n14497 21793\n26977 40441\n63649 95451\n80426 100000\n36576 54841\n38906 58331\n99864 100000\n99425 100000\n4925 7408\n3863 5814\n17780 26716\n87898 100000\n76607 100000\n996 1510\n83371 100000\n42951 64417\n31964 47957\n39205 58770\n37133 55675\n89311 100000\n86371 100000\n85688 100000\n22581 33895\n95155 100000\n54058 81024\n38670 57986\n45339 68003\n54879 82278\n30481 45727\n35029 52538\n69308 100000\n799 1215\n35182 52766\n42246 63372\n27439 41145\n89878 100000\n93283 100000\n12756 19144\n59251 88874\n5460 8206\n11528 17304\n75212 100000\n88601 100000\n63820 95703\n6644 9996\n55187 82758\n64893 97325\n64467 96687\n77201 100000\n80158 100000\n21465 32266\n43522 65287\n67279 100000\n7836 11770\n83827 100000\n65418 98130\n98569 100000\n6094 9166\n61646 92471\n38005 56987\n85849 100000\n26558 39841\n69147 100000\n72066 100000\n94787 100000\n89888 100000\n75759 100000\n66093 99157\n94586 100000\n52088 78070\n14251 21427\n57647 86461\n24406 36628\n13215 19850\n91228 100000\n17456 26234\n35493 53220\n90516 100000\n41717 62576\n52923 79318\n97256 100000\n56419 84622\n72763 100000\n60485 90741\n22834 34264\n24624 36940\n31314 46991\n13305 19978\n5728 8605\n11354 17041\n43525 65290\n43782 65668\n87908 100000\n63479 95201\n16718 25138\n33265 49882\n92799 100000\n53994 80927\n76225 100000\n29785 44661\n53652 80411\n27398 41078\n86651 100000\n34262 51374\n42630 63938\n17153 25776\n18570 27908\n90073 100000\n83840 100000\n8241 12374\n54993 82456\n13904 20903\n15569 23426\n743 1134\n78388 100000\n5061 7613\n80562 100000\n62992 94498\n74938 100000\n53554 80267\n64125 96173\n48019 71957\n44772 67148\n5550 8341\n34194 51273\n49121 73625\n69105 100000\n28696 43038\n46376 69528\n87496 100000\n2283 3434\n92274 100000\n348 536\n31929 47903\n61669 92506\n25680 38514\n812 1233\n12725 19094\n437 666\n57638 86446\n61674 92514\n57430 86140\n24380 36588\n5835 8772\n90217 100000\n78566 100000\n32334 48509\n56920 85364\n367 564\n11906 17876\n63108 94675\n74359 100000\n4994 7511\n19105 28722\n20823 31304\n72859 100000\n64770 97141\n46912 70314\n51795 77625\n59754 89658\n79277 100000\n77308 100000\n1533 2320\n346 532\n51748 77552\n62165 93249\n34059 51071\n26612 39924\n10751 16125\n85599 100000\n66179 99287\n74859 100000\n97099 100000\n47203 70757\n86874 100000\n22965 34463\n65160 97731\n92019 100000\n95564 100000\n22801 34217\n62392 93607\n84835 100000\n488 746\n72766 100000\n35643 53440\n36994 55470\n77249 100000\n1671 2521\n16077 24171\n95893 100000\n66070 99123\n73151 100000\n10836 16256\n28409 42603\n40861 61281\n26112 39178\n62130 93192\n10154 15240\n14904 22418\n64387 96567\n25896 38853\n41701 62552\n76127 100000\n14274 21461\n77685 100000\n65339 98007\n60014 90043\n71303 100000\n25193 37808\n47495 71177\n8211 12330\n25475 38221\n57975 86946\n74217 100000\n74731 100000\n98645 100000\n91589 100000\n18593 27943\n94620 100000\n39693 59522\n4129 6215\n71381 100000\n61403 92111\n94053 100000\n8904 13361\n91977 100000\n40891 61324\n99912 100000\n5409 8127\n58131 87188\n79050 100000\n20327 30557\n8251 12390\n95088 100000\n65938 98921\n64166 96237\n73240 100000\n4844 7285\n82883 100000\n55394 83068\n19570 29428\n82338 100000\n78525 100000\n54846 82230\n77739 100000\n28113 42159\n83335 100000\n68886 100000\n36185 54248\n6448 9708\n16469 24765\n52178 78199\n70737 100000\n44492 66727\n6869 10324\n1752 2640\n51661 77419\n4303 6477\n79094 100000\n11911 17883\n95561 100000\n10898 16349\n17145 25763\n56743 85096\n59765 89674\n10630 15942\n72237 100000\n5422 8147\n62049 93081\n68236 100000\n93460 100000\n67985 100000\n14265 21447\n79351 100000\n17503 26301\n92401 100000\n38468 57686\n67767 100000\n1649 2487\n72867 100000\n70901 100000\n75652 100000\n13809 20760\n28899 43347\n91576 100000\n71049 100000\n26897 40330\n76117 100000\n26714 40065\n87978 100000\n20366 30617\n76108 100000\n92013 100000\n99048 100000\n49560 74289\n64608 96900\n76002 100000\n77455 100000\n91798 100000\n34801 52198\n14937 22471\n55130 82674\n46754 70085\n88961 100000\n20484 30785\n29602 44386\n77288 100000\n64706 97050\n46083 69102\n57961 86924\n91963 100000\n84912 100000\n31542 47326\n12980 19484\n31315 46992\n58976 88458\n92244 100000\n56844 85253\n99039 100000\n14984 22541\n7055 10607\n91051 100000\n58452 87684\n47431 71087\n65252 97870\n60867 91310\n1495 2262\n30830 46266\n64606 96896\n16928 25441\n96601 100000\n95362 100000\n54802 82163\n52729 79025\n73915 100000\n88946 100000\n92478 100000\n66858 100000\n31290 46951\n61732 92597\n79700 100000\n50419 75588\n1328 2015\n95577 100000\n72110 100000\n21740 32658\n55499 83232\n7191 10815\n19703 29625\n46300 69416\n15066 22672\n53243 79805\n72712 100000\n70105 100000\n54797 82155\n77277 100000\n52777 79095\n88986 100000\n35703 53529\n64074 96093\n52100 78086\n72842 100000\n70065 100000\n1312 1988\n84645 100000\n52076 78055\n83363 100000\n60736 91109\n75306 100000\n46146 69197\n25190 37804\n17802 26751\n30142 45202\n54117 81112\n51567 77280\n94939 100000\n61516 92275\n22715 34093\n60601 90909\n51919 77809\n96869 100000\n13132 19717\n94367 100000\n59998 90022\n61922 92893\n1275 1932\n25375 38073\n2192 3296\n68950 100000\n41136 61694\n83864 100000\n97910 100000\n99410 100000\n64638 96946\n48489 72668\n80685 100000\n53208 79755\n23039 34573\n50630 75903\n50599 75851\n84656 100000\n33863 50785\n43531 65301\n18850 28346\n47584 71309\n67297 100000\n98430 100000\n13351 20052\n58404 87608\n18201 27347\n19562 29415\n63693 95513\n78647 100000\n39803 59679\n64487 96714\n12868 19312\n62285 93435\n97620 100000\n68130 100000\n62995 94503\n53167 79688\n8272 12418\n21735 32652\n34541 51803\n41763 62648\n17950 26968\n19539 29376\n67716 100000\n70389 100000\n92477 100000\n48886 73273\n41503 62252\n98251 100000\n75310 100000\n61790 92686\n40580 60855\n27334 40973\n23233 34866\n82356 100000\n7026 10565\n27181 40747\n76477 100000\n81907 100000\n67115 100000\n16653 25041\n59590 89397\n86941 100000\n27365 41023\n99510 100000\n20027 30110\n54328 81428\n33587 50365\n88780 100000\n7960 11956\n74371 100000\n14540 21862\n78979 100000\n46236 69322\n13695 20585\n13505 20291\n80283 100000\n45639 68450\n41707 62560\n72249 100000\n82481 100000\n29539 44299\n47288 70884\n22630 33970\n35520 53260\n66646 99978\n22181 33311\n33722 50567\n13172 19784\n61405 92113\n19267 28964\n78594 100000\n46415 69584\n88697 100000\n38550 57813\n17031 25586\n73652 100000\n24226 36352\n61544 92315\n99807 100000\n2412 3626\n61599 92401\n64049 96057\n64734 97091\n57804 86694\n53884 80760\n63359 95027\n58933 88393\n93184 100000\n34136 51186\n51978 77904\n33968 50937\n5556 8350\n57215 85807\n89557 100000\n76406 100000\n87676 100000\n84168 100000\n65283 97917\n9449 14170\n29279 43912\n83762 100000\n41440 62157\n36149 54192\n10546 15821\n82686 100000\n38427 57624\n66766 100000\n30687 46047\n14760 22209\n97805 100000\n67013 100000\n82168 100000\n50740 76071\n58249 87367\n51143 76672\n31066 46627\n35986 53950\n96567 100000\n46291 69402\n93402 100000\n60723 91088\n27367 41025\n70989 100000\n22514 33794\n50656 75944\n36615 54904\n6959 10461\n98464 100000\n59389 89078\n35961 53915\n9041 13556\n86070 100000\n60180 90287\n36341 54489\n17332 26056\n31610 47430\n86616 100000\n92682 100000\n75834 100000\n65749 98632\n55485 83209\n23766 35658\n48579 72807\n15094 22714\n92683 100000\n50238 75307\n85588 100000\n70739 100000\n26090 39146\n5847 8790\n34451 51667\n3769 5680\n1160 1755\n31599 47413\n12003 18016\n55920 83860\n38635 57931\n47550 71260\n95111 100000\n29327 43991\n85457 100000\n18702 28118\n89596 100000\n25123 37705\n37896 56821\n85697 100000\n57915 86854\n40677 60995\n64725 97077\n52311 78399\n21331 32065\n6388 9627\n8704 13060\n42753 64124\n18788 28251\n247 380\n61260 91894\n6032 9068\n19970 30024\n85453 100000\n47911 71794\n72508 100000\n18976 28536\n92357 100000\n38393 57572\n41965 62954\n39285 58897\n36993 55469\n62154 93230\n40883 61312\n47820 71661\n45930 68871\n25390 38095\n4094 6159\n62636 93969\n3773 5687\n24148 36240\n42515 63767\n82708 100000\n45370 68050\n35288 52917\n42385 63574\n28083 42116\n94764 100000\n39431 59121\n493 755\n91662 100000\n34322 51463\n81358 100000\n30302 45443\n48353 72459\n7799 11715\n2598 3917\n79 124\n95057 100000\n70671 100000\n45419 68119\n33784 50664\n64680 97010\n39156 58690\n57788 86671\n72758 100000\n52289 78365\n57073 85595\n57582 86361\n73690 100000\n87801 100000\n12211 18337\n76091 100000\n79665 100000\n70971 100000\n38314 57457\n91738 100000\n88613 100000\n56464 84690\n72870 100000\n59187 88776\n49491 74176\n62048 93079\n66826 100000\n15139 22783\n54634 81899\n49982 74925\n87008 100000\n56727 85074\n53282 79867\n71987 100000\n19243 28930\n46600 69858\n49441 74101\n83917 100000\n76524 100000\n64790 97173\n3689 5555\n51491 77171\n58582 87864\n39826 59715\n98904 100000\n7202 10830\n6672 10035\n87530 100000\n95305 100000\n93877 100000\n40162 60223\n44094 66129\n12271 18419\n72239 100000\n82035 100000\n97339 100000\n58262 87386\n3850 5793\n32637 48954\n32484 48735\n65963 98958\n88394 100000\n17665 26542\n65719 98583\n69777 100000\n5034 7570\n10514 15773\n22520 33801\n58719 88071\n83920 100000\n3185 4805\n1547 2343\n22207 33348\n69700 100000\n49497 74186\n94147 100000\n12977 19479\n71786 100000\n67576 100000\n71255 100000\n73184 100000\n51214 76781\n29555 44321\n31449 47185\n45428 68134\n20051 30146\n32453 48688\n82900 100000\n14546 21869\n71585 100000\n98789 100000\n56596 84886\n1281 1942\n34202 51284\n97601 100000\n81765 100000\n25929 38904\n90370 100000\n48056 72012\n94267 100000\n49283 73863\n14402 21653\n46516 69732\n82101 100000\n56173 84244\n66160 99261\n27380 41049\n28132 42185\n887 1346\n24804 37217\n75325 100000\n99068 100000\n15674 23580\n55064 82571\n18317 27521\n3432 5180\n77169 100000\n82716 100000\n84084 100000\n18526 27840\n94796 100000\n62861 94306\n64106 96143\n32749 49125\n90498 100000\n29758 44618\n18798 28268\n11092 16650\n30349 45514\n21138 31771\n88066 100000\n28246 42357\n6501 9783\n16408 24669\n39333 58973\n11557 17347\n91172 100000\n11543 17327\n90401 100000\n68970 100000\n6613 9947\n15306 23032\n36347 54500\n89214 100000\n53005 79440\n72244 100000\n11402 17114\n31224 46863\n50416 75582\n85422 100000\n97496 100000\n22964 34461\n98564 100000\n2608 3931\n25879 38828\n10702 16047\n30152 45221\n26016 39032\n94456 100000\n89572 100000\n79312 100000\n229 351\n67568 100000\n52263 78325\n15284 23000\n45778 68649\n10234 15362\n23129 34712\n67320 100000\n99377 100000\n61088 91642\n57942 86896\n20710 31128\n76438 100000\n59409 89107\n90948 100000\n77200 100000\n41927 62898\n14538 21858\n53396 80038\n51101 76608\n14021 21081\n37841 56742\n43120 64675\n55035 82527\n43573 65362\n86707 100000\n54437 81608\n34570 51847\n88341 100000\n85731 100000\n4287 6454\n74233 100000\n76101 100000\n95674 100000\n35771 53627\n21266 31965\n61934 92912\n42216 63328\n51239 76816\n37139 55683\n18151 27268\n41459 62186\n61927 92901\n75565 100000\n75550 100000\n84408 100000\n65245 97861\n71695 100000\n60967 91465\n64412 96605\n29413 44118\n57417 86121\n75838 100000\n50452 75636\n58479 87719\n14454 21732\n2903 4381\n43108 64655\n18806 28282\n98994 100000\n15643 23537\n42195 63296\n24149 36241\n15636 23527\n56908 85344\n75563 100000\n80429 100000\n83909 100000\n89355 100000\n63449 95156\n85730 100000\n83309 100000\n10812 16218\n28048 42064\n98439 100000\n32144 48228\n3405 5141\n55963 83929\n62102 93151\n66340 99525\n97237 100000\n84008 100000\n2894 4368\n77336 100000\n35336 52985\n28892 43336\n7173 10785\n61174 91773\n27986 41971\n95468 100000\n14897 22408\n53597 80328\n42941 64400\n90944 100000\n63776 95636\n5853 8802\n25310 37977\n2569 3873\n74894 100000\n383 588\n10372 15562\n58117 87167\n91943 100000\n49954 74882\n21628 32496\n56276 84403\n75773 100000\n8522 12784\n58944 88409\n38008 56993\n64879 97303\n896 1359\n43594 65392\n2892 4364\n23035 34565\n10238 15368\n28437 42648\n82159 100000\n62857 94300\n27875 41808\n10982 16474\n8771 13159\n38790 58168\n13198 19825\n29141 43703\n69801 100000\n480 734\n76014 100000\n23015 34530\n31677 47531\n59627 89455\n49834 74710\n29985 44963\n83325 100000\n73540 100000\n17459 26238\n24653 36987\n74679 100000\n48573 72798\n93770 100000\n97688 100000\n46180 69243\n31547 47334\n47579 71302\n80121 100000\n88783 100000\n12880 19330\n23080 34639\n65286 97922\n16280 24476\n39734 59579\n76097 100000\n11487 17240\n9711 14570\n10336 15512\n28261 42380\n25273 37925\n29949 44912\n39608 59389\n29961 44930\n22999 34509\n54300 81387\n10054 15089\n21082 31690\n37707 56537\n96446 100000\n28764 43149\n41043 61557\n75610 100000\n24014 36039\n59060 88582\n40662 60975\n72252 100000\n17858 26831\n47309 70913\n62164 93247\n16988 25526\n52892 79272\n5592 8408\n16500 24815\n94152 100000\n89658 100000\n98884 100000\n7328 11017\n63565 95323\n26246 39380\n29882 44811\n7774 11679\n67500 100000\n92744 100000\n84414 100000\n11110 16678\n51626 77367\n61780 92673\n91339 100000\n89824 100000\n12712 19075\n59296 88940\n20961 31511\n5451 8195\n34431 51632\n59165 88744\n5956 8953\n23626 35445\n16593 24952\n78841 100000\n76755 100000\n95180 100000\n22327 33515\n13328 20015\n21191 31848\n43884 65814\n53677 80447\n72324 100000\n39941 59887\n1030 1555\n79285 100000\n56759 85120\n39025 58502\n28619 42920\n45054 67572\n76230 100000\n10224 15348\n75606 100000\n87299 100000\n45872 68789\n41421 62130\n37031 55527\n67975 100000\n57552 86319\n85199 100000\n69549 100000\n20610 30972\n37768 56633\n86265 100000\n10095 15150\n3006 4539\n86295 100000\n13670 20544\n99662 100000\n76536 100000\n7874 11828\n47594 71326\n76764 100000\n14236 21405\n27537 41295\n70134 100000\n283 434\n98342 100000\n26809 40205\n44144 66212\n22476 33738\n43252 64873\n33377 50047\n76499 100000\n89460 100000\n67177 100000\n31724 47605\n69941 100000\n38712 58051\n12317 18481\n31912 47879\n24454 36699\n9810 14721\n27092 40616\n87472 100000\n56389 84578\n69949 100000\n81587 100000\n63112 94679\n89945 100000\n12935 19415\n24350 36544\n67069 100000\n65028 97531\n63833 95723\n77342 100000\n12185 18293\n50557 75788\n93293 100000\n6061 9119\n95806 100000\n78297 100000\n58797 88190\n12326 18498\n52144 78149\n40812 61212\n12055 18098\n56388 84577\n31028 46572\n71907 100000\n98615 100000\n52683 78958\n1518 2299\n28378 42562\n67608 100000\n34978 52462\n60136 90230\n31504 47266\n6365 9591\n4241 6384\n29145 43708\n84590 100000\n5158 7758\n69654 100000\n8276 12422\n44872 67297\n86219 100000\n99587 100000\n45041 67550\n27649 41460\n90488 100000\n41885 62837\n78049 100000\n3568 5375\n95479 100000\n84151 100000\n87747 100000\n90888 100000\n79319 100000\n83969 100000\n24839 37270\n53693 80471\n87107 100000\n927 1409\n82451 100000\n8908 13367\n68113 100000\n19371 29125\n6400 9644\n86073 100000\n4005 6017\n25287 37944\n30917 46400\n8495 12745\n49373 73999\n84518 100000\n50080 75064\n26184 39283\n59203 88798\n94716 100000\n38780 58150\n56750 85104\n64528 96777\n22662 34019\n12494 18746\n93635 100000\n84711 100000\n48314 72399\n53804 80636\n42380 63566\n33029 49534\n92420 100000\n90250 100000\n1850 2785\n27714 41558\n62430 93663\n60310 90477\n63491 95220\n81614 100000\n27951 41924\n87563 100000\n67221 100000\n36213 54290\n30535 45813\n73412 100000\n83302 100000\n2053 3086\n74356 100000\n24245 36381\n3554 5352\n25892 38846\n41786 62685\n68391 100000\n35234 52836\n1296 1963\n39657 59465\n69483 100000\n5079 7641\n50345 75472\n48529 72730\n27475 41204\n13226 19865\n9900 14864\n64397 96584\n63295 94932\n41727 62592\n82135 100000\n10398 15603\n7314 10995\n95528 100000\n64878 97302\n73738 100000\n90959 100000\n32976 49457\n94420 100000\n52549 78754\n48585 72817\n63045 94578\n76966 100000\n43314 64970\n21287 31995\n17667 26545\n7714 11587\n322 492\n83167 100000\n22184 33317\n44298 66436\n15757 23701\n45841 68742\n31944 47927\n78959 100000\n42091 63132\n2189 3291\n5613 8438\n57510 86257\n46141 69190\n62217 93334\n76576 100000\n4429 6669\n86045 100000\n19733 29669\n38767 58131\n82882 100000\n35837 53726\n37380 56047\n63722 95556\n62219 93337\n30648 45989\n72122 100000\n85618 100000\n28914 43371\n95916 100000\n51393 77039\n44089 66122\n6997 10520\n88757 100000\n79394 100000\n39559 59316\n98743 100000\n85242 100000\n35514 53250\n36281 54399\n3244 4894\n82877 100000\n29242 43853\n98214 100000\n86638 100000\n47014 70472\n16859 25344\n47138 70658\n81270 100000\n93001 100000\n36859 55272\n80202 100000\n34231 51327\n28962 43445\n2637 3973\n31996 48008\n88452 100000\n55893 83822\n97517 100000\n40298 60424\n64743 97102\n76474 100000\n71171 100000\n19890 29904\n32087 48148\n62558 93854\n93556 100000\n48653 72921\n2607 3929\n20972 31528\n55659 83475\n60345 90532\n72600 100000\n56576 84856\n81059 100000\n87634 100000\n37043 55544\n72643 100000\n6648 10002\n1235 1871\n57644 86455\n92540 100000\n11545 17329\n31465 47208\n4396 6620\n51904 77787\n30283 45415\n26148 39233\n82482 100000\n27306 40937\n79778 100000\n25154 37751\n96176 100000\n27428 41127\n69358 100000\n29826 44726\n27927 41885\n27667 41485\n48093 72067\n11247 16877\n36679 54996\n32372 48568\n33781 50659\n86251 100000\n28318 42468\n63058 94598\n50598 75849\n41006 61498\n18356 27577\n95025 100000\n49099 73592\n87002 100000\n15966 24007\n66634 99960\n40056 60060\n67125 100000\n97174 100000\n14370 21605\n30051 45060\n17309 26021\n3262 4921\n20208 30383\n63921 95860\n84830 100000\n23348 35040\n82421 100000\n50337 75459\n14424 21686\n26249 39384\n17188 25831\n361 557\n28274 42401\n60091 90163\n56842 85251\n53432 80093\n73851 100000\n29073 43601\n55126 82669\n84633 100000\n4040 6068\n68969 100000\n85038 100000\n17547 26368\n49155 73677\n18547 27872\n52629 78874\n869 1320\n77147 100000\n91539 100000\n36182 54243\n53957 80875\n80965 100000\n9331 14001\n73452 100000\n18111 27210\n48519 72714\n85901 100000\n34360 51528\n34218 51310\n16539 24868\n93987 100000\n22658 34015\n82964 100000\n18726 28157\n418 641\n97661 100000\n2526 3807\n47610 71350\n99515 100000\n16061 24148\n6151 9257\n4123 6207\n66484 99746\n33584 50360\n34135 51184\n63672 95486\n9977 14973\n16513 24832\n80037 100000\n95683 100000\n2983 4503\n81355 100000\n22767 34168\n63623 95415\n55065 82572\n61919 92887\n58470 87708\n84041 100000\n41975 62968\n98921 100000\n94641 100000\n31218 46856\n60195 90309\n33455 50164\n27456 41173\n69634 100000\n74258 100000\n58119 87170\n53989 80921\n4500 6770\n58691 88027\n5160 7761\n78558 100000\n53149 79657\n33630 50429\n84332 100000\n78733 100000\n30666 46014\n92887 100000\n12546 18824\n25663 38491\n89723 100000\n20083 30189\n56910 85348\n96133 100000\n92431 100000\n20158 30304\n14573 21909\n27851 41772\n88617 100000\n53810 80645\n58180 87261\n75653 100000\n9954 14944\n75981 100000\n90826 100000\n58083 87113\n57525 86279\n43077 64605\n34020 51012\n50763 76104\n32510 48774\n86924 100000\n79079 100000\n69063 100000\n77554 100000\n50853 76237\n77423 100000\n49034 73496\n67327 100000\n7359 11060\n60973 91471\n84244 100000\n16636 25016\n47474 71148\n43572 65361\n24632 36952\n40804 61199\n26514 39775\n77165 100000\n24850 37287\n29278 43911\n18059 27132\n60084 90151\n79674 100000\n69552 100000\n8833 13255\n4346 6543\n91836 100000\n52659 78921\n57851 86755\n96597 100000\n36830 55231\n22585 33901\n94100 100000\n33542 50296\n28978 43468\n41335 62000\n56767 85133\n51998 77935\n51916 77803\n45919 68856\n68743 100000\n87976 100000\n48716 73019\n85030 100000\n36891 55315\n2693 4056\n73686 100000\n81006 100000\n50279 75374\n70488 100000\n61804 92708\n74639 100000\n29541 44301\n69625 100000\n52305 78390\n31942 47923\n42335 63500\n51853 77712\n31505 47268\n10270 15419\n28131 42183\n13109 19685\n33572 50344\n81329 100000\n82854 100000\n39620 59409\n49502 74194\n63466 95182\n498 764\n63887 95809\n65570 98357\n75586 100000\n99776 100000\n13019 19549\n80660 100000\n25791 38694\n29513 44263\n69576 100000\n84870 100000\n63827 95714\n49280 73858\n34788 52175\n58554 87825\n72208 100000\n51521 77213\n74080 100000\n91385 100000\n79295 100000\n54872 82268\n45152 67719\n3019 4557\n79604 100000\n3999 6009\n11052 16585\n58811 88211\n12642 18971\n82174 100000\n33821 50722\n4646 6994\n32683 49026\n86498 100000\n32581 48869\n4636 6980\n10869 16306\n84847 100000\n17148 25769\n76007 100000\n67674 100000\n34742 52108\n45770 68637\n55598 83384\n39010 58481\n7372 11080\n66057 99104\n12643 18973\n21442 32229\n85059 100000\n82676 100000\n63124 94697\n76785 100000\n85966 100000\n86009 100000\n74715 100000\n41126 61677\n37580 56346\n52921 79315\n41723 62585\n30296 45433\n53015 79454\n51025 76494\n45440 68148\n88090 100000\n65113 97660\n51884 77760\n85512 100000\n13584 20412\n69075 100000\n31475 47224\n88226 100000\n16765 25203\n14230 21397\n10459 15697\n77945 100000\n94496 100000\n28828 43241\n45177 67758\n69702 100000\n54430 81599\n66632 99958\n41826 62748\n22367 33572\n74968 100000\n43695 65541\n92390 100000\n35263 52878\n30960 46469\n21458 32255\n19829 29812\n20468 30761\n68368 100000\n69604 100000\n30275 45404\n4851 7295\n57693 86530\n93813 100000\n59059 88580\n50133 75145\n35705 53532\n68494 100000\n24310 36479\n14536 21854\n74325 100000\n12940 19424\n696 1062\n5920 8898\n23498 35258\n80785 100000\n939 1428\n96892 100000\n44956 67418\n12985 19493\n57895 86824\n32898 49342\n57572 86348\n89308 100000\n69107 100000\n95800 100000\n72413 100000\n57017 85515\n53691 80467\n96266 100000\n82998 100000\n18366 27592\n34089 51113\n77225 100000\n97592 100000\n4551 6849\n64243 96354\n67937 100000\n40794 61183\n93899 100000\n58529 87794\n20565 30899\n7024 10562\n99616 100000\n45993 68964\n84365 100000\n94335 100000\n87060 100000\n52078 78058\n86043 100000\n85245 100000\n75986 100000\n84539 100000\n30382 45569\n48712 73013\n18620 27982\n35882 53798\n53400 80044\n35125 52679\n41806 62716\n64149 96212\n64675 97003\n86875 100000\n22688 34055\n79849 100000\n5676 8529\n8039 12067\n70724 100000\n69489 100000\n741 1131\n17367 26106\n72804 100000\n51456 77124\n16445 24726\n60172 90276\n12553 18835\n69947 100000\n15565 23420\n66546 99834\n52281 78352\n78894 100000\n27811 41710\n96168 100000\n90577 100000\n6435 9691\n44432 66639\n68763 100000\n69805 100000\n61303 91963\n97776 100000\n41069 61595\n6453 9714\n36650 54958\n72646 100000\n74637 100000\n91705 100000\n70929 100000\n49228 73783\n6297 9484\n44353 66521\n12480 18726\n75503 100000\n95391 100000\n87827 100000\n75715 100000\n15688 23601\n93584 100000\n12188 18299\n95645 100000\n99682 100000\n13230 19871\n40921 61369\n53651 80410\n76600 100000\n26346 39529\n46072 69088\n13100 19671\n97556 100000\n75307 100000\n5215 7841\n21749 32672\n14778 22233\n29773 44644\n89734 100000\n16800 25254\n1921 2888\n593 910\n95752 100000\n94905 100000\n63764 95614\n37480 56198\n93296 100000\n23797 35704\n8685 13032\n45807 68692\n17347 26077\n82314 100000\n94424 100000\n43096 64635\n20514 30828\n37762 56624\n84738 100000\n55996 83977\n22166 33290\n94443 100000\n26244 39376\n37052 55557\n14043 21117\n87483 100000\n67794 100000\n82030 100000\n59834 89774\n66183 99292\n37682 56503\n18949 28497\n58391 87590\n1628 2455\n36532 54773\n80570 100000\n43162 64738\n25778 38671\n41429 62142\n79241 100000\n30461 45696\n71584 100000\n62805 94223\n89516 100000\n358 552\n52708 78994\n4587 6906\n27233 40826\n19398 29165\n73147 100000\n72968 100000\n9659 14491\n76612 100000\n87547 100000\n76352 100000\n36175 54231\n90550 100000\n76114 100000\n29774 44645\n72692 100000\n35711 53540\n64755 97119\n94967 100000\n78375 100000\n92350 100000\n73950 100000\n78710 100000\n47658 71425\n15776 23726\n70569 100000\n54070 81040\n25279 37933\n1265 1917\n12578 18873\n68207 100000\n1324 2009\n80996 100000\n8597 12897\n20320 30545\n53169 79692\n19255 28944\n44505 66748\n12829 19250\n8227 12354\n70023 100000\n77383 100000\n67978 100000\n26399 39604\n99403 100000\n14024 21087\n8463 12700\n63403 95087\n56406 84603\n89981 100000\n30418 45627\n68852 100000\n43293 64941\n43479 65223\n68814 100000\n6622 9962\n97214 100000\n33467 50183\n21758 32687\n10037 15062\n68015 100000\n39237 58825\n8680 13026\n32441 48671\n48609 72856\n12330 18506\n41516 62272\n4110 6185\n4059 6103\n4816 7248\n45587 68378\n91198 100000\n39429 59118\n1770 2665\n63305 94947\n47507 71193\n27087 40608\n80901 100000\n63451 95160\n50219 75280\n29732 44582\n23971 35975\n80716 100000\n19863 29864\n92896 100000\n88501 100000\n28628 42935\n24475 36729\n64768 97139\n47715 71508\n32044 48077\n53327 79940\n3770 5682\n90402 100000\n60513 90779\n95662 100000\n22917 34389\n13867 20847\n13059 19608\n23377 35081\n92419 100000\n99123 100000\n96731 100000\n33351 50007\n28251 42364\n837 1272\n51333 76946\n34473 51702\n46712 70020\n16364 24603\n53206 79751\n81232 100000\n53406 80051\n4480 6741\n299 459\n58989 88476\n13665 20537\n86563 100000\n76037 100000\n36014 53994\n72518 100000\n68105 100000\n70302 100000\n21226 31904\n73187 100000\n14810 22282\n48398 72524\n39317 58949\n49661 74443\n32354 48542\n94715 100000\n24905 37364\n1146 1732\n32802 49202\n91531 100000\n980 1487\n35921 53856\n33934 50885\n8725 13090\n72977 100000\n36798 55192\n21956 32980\n98458 100000\n33878 50809\n16927 25440\n54712 82022\n9755 14638\n98196 100000\n66133 99220\n6476 9744\n10335 15511\n57854 86761\n1068 1614\n68587 100000\n57450 86170\n98377 100000\n72281 100000\n55314 82953\n89082 100000\n75402 100000\n25943 38922\n35648 53447\n29512 44261\n30812 46242\n6815 10243\n17875 26855\n61219 91836\n67041 100000\n28323 42475\n24709 37072\n15023 22600\n29921 44869\n32857 49281\n62760 94155\n4591 6912\n38815 58199\n70451 100000\n56588 84875\n40202 60286\n10212 15329\n18048 27117\n88682 100000\n69057 100000\n19163 28812\n86605 100000\n31832 47762\n9180 13764\n26820 40219\n50110 75109\n40224 60317\n1588 2397\n42287 63431\n76569 100000\n68867 100000\n27007 40486\n75397 100000\n5279 7935\n4225 6359\n35016 52521\n65636 98459\n72019 100000\n7602 11425\n34854 52282\n42857 64277\n20204 30376\n24675 37018\n24787 37191\n69400 100000\n41635 62450\n42601 63899\n6361 9585\n3276 4944\n11830 17758\n19565 29420\n62035 93059\n70174 100000\n94910 100000\n60636 90959\n18131 27238\n86561 100000\n44425 66627\n90083 100000\n95617 100000\n23502 35265\n58664 87988\n90034 100000\n49328 73930\n41368 62051\n46123 69160\n70762 100000\n76591 100000\n73145 100000\n32794 49189\n5528 8305\n56957 85420\n7542 11335\n69186 100000\n61377 92077\n48740 73056\n19269 28966\n20935 31471\n15902 23915\n37838 56738\n72335 100000\n54726 82045\n24209 36328\n69958 100000\n41455 62179\n85226 100000\n7859 11805\n5130 7720\n40909 61352\n42222 63338\n63206 94804\n92004 100000\n87326 100000\n9346 14024\n42813 64212\n72656 100000\n15530 23367\n33617 50410\n88793 100000\n5306 7979\n54811 82177\n19118 28745\n45749 68610\n41664 62494\n58252 87372\n85543 100000\n81393 100000\n9784 14684\n43771 65653\n55191 82764\n87012 100000\n94339 100000\n75505 100000\n1610 2428\n53163 79682\n20992 31557\n78568 100000\n63991 95961\n63346 95007\n50487 75689\n68294 100000\n11726 17601\n13926 20939\n17285 25981\n87648 100000\n65222 97826\n99848 100000\n68491 100000\n25978 38974\n67153 100000\n35259 52874\n41732 62600\n14247 21421\n954 1448\n5333 8017\n20977 31534\n68529 100000\n85509 100000\n26247 39381\n8504 12759\n32131 48211\n71214 100000\n34479 51709\n80034 100000\n72648 100000\n15384 23147\n27196 40769\n11074 16620\n54976 82428\n35248 52860\n14808 22279\n35812 53693\n25118 37699\n59436 89153\n20470 30764\n40357 60513\n89942 100000\n69495 100000\n12274 18423\n37609 56395\n79596 100000\n93588 100000\n11225 16843\n41511 62264\n17412 26170\n46845 70215\n27239 40835\n76315 100000\n57403 86100\n17461 26242\n87387 100000\n15597 23467\n36737 55092\n24894 37349\n4574 6888\n29535 44292\n8836 13259\n95521 100000\n30508 45767\n96478 100000\n47851 71705\n91092 100000\n58112 87157\n15168 22823\n95512 100000\n59354 89027\n74884 100000\n39281 58892\n80858 100000\n59798 89720\n59441 89163\n61997 93007\n40195 60275\n10079 15128\n16690 25098\n48228 72268\n76502 100000\n31658 47502\n16353 24587\n55418 83101\n58443 87670\n75258 100000\n88097 100000\n27566 41334\n78430 100000\n74825 100000\n18577 27918\n85556 100000\n48326 72417\n91829 100000\n37180 55747\n40784 61168\n23618 35432\n40046 60044\n18752 28198\n72336 100000\n38880 58294\n52617 78857\n32132 48212\n70758 100000\n19885 29896\n94779 100000\n88755 100000\n68935 100000\n91723 100000\n35689 53509\n70376 100000\n38508 57752\n84361 100000\n57594 86379\n90650 100000\n96637 100000\n41559 62337\n84036 100000\n93114 100000\n13606 20446\n98245 100000\n23224 34855\n77729 100000\n66856 100000\n74934 100000\n35541 53291\n3961 5956\n79334 100000\n20331 30564\n36003 53976\n149 227\n68376 100000\n95282 100000\n77698 100000\n9762 14647\n27039 40534\n69757 100000\n51866 77733\n44006 66006\n50733 76059\n24110 36185\n83980 100000\n83081 100000\n89847 100000\n72293 100000\n27063 40572\n90014 100000\n73136 100000\n46588 69838\n32193 48297\n36680 54998\n47498 71180\n36707 55039\n85224 100000\n8256 12398\n16410 24672\n50798 76155\n64098 96131\n77573 100000\n32348 48533\n26322 39494\n48325 72416\n39356 59008\n19042 28631\n88486 100000\n10112 15179\n20177 30332\n97624 100000\n18379 27612\n45617 68419\n14260 21440\n5377 8085\n52745 79050\n51913 77799\n79705 100000\n15906 23919\n68078 100000\n85681 100000\n92995 100000\n30454 45687\n57036 85539\n61534 92300\n54011 80952\n68711 100000\n11099 16660\n50620 75885\n20990 31555\n27950 41922\n16137 24259\n31919 47888\n59649 89491\n5108 7684\n48776 73108\n90273 100000\n39142 58668\n86380 100000\n92204 100000\n60805 91215\n63900 95828\n34316 51453\n9249 13875\n15954 23987\n37548 56294\n13537 20338\n45924 68861\n8060 12099\n91851 100000\n26365 39555\n36741 55099\n16133 24252\n93995 100000\n14383 21624\n85250 100000\n43347 65024\n4520 6802\n55514 83255\n67407 100000\n85373 100000\n49690 74485\n25432 38159\n43512 65270\n75101 100000\n97547 100000\n83170 100000\n82593 100000\n70124 100000\n15312 23040\n252 388\n65301 97947\n68049 100000\n28432 42641\n4778 7197\n86110 100000\n13165 19774\n35458 53173\n34392 51576\n83739 100000\n59129 88687\n6323 9525\n70530 100000\n80487 100000\n61057 91595\n47753 71566\n83419 100000\n70039 100000\n3894 5860\n4615 6948\n14255 21433\n67308 100000\n42959 64428\n86018 100000\n40233 60331\n55055 82558\n64800 97188\n10614 15919\n89727 100000\n79980 100000\n75519 100000\n98510 100000\n99511 100000\n12713 19076\n48995 73436\n48603 72846\n47172 70710\n63971 95927\n22888 34346\n77475 100000\n84013 100000\n6415 9668\n97390 100000\n9347 14026\n45365 68043\n62548 93839\n42338 63504\n80008 100000\n64493 96722\n18718 28143\n39090 58596\n84813 100000\n7336 11029\n79744 100000\n44719 67069\n37672 56491\n56874 85292\n34233 51330\n3042 4588\n94934 100000\n67108 100000\n42438 63654\n17691 26579\n15246 22940\n44004 66003\n86082 100000\n39598 59376\n43661 65489\n72290 100000\n15535 23375\n97158 100000\n22143 33255\n68029 100000\n48065 72024\n85738 100000\n71930 100000\n92425 100000\n91726 100000\n18649 28029\n23032 34560\n92201 100000\n42340 63507\n26654 39987\n13421 20161\n24159 36253\n68182 100000\n67543 100000\n55780 83663\n60056 90108\n64130 96182\n52533 78728\n71338 100000\n55144 82697\n56376 84555\n53165 79685\n94853 100000\n62735 94114\n61901 92862\n26129 39201\n86210 100000\n56552 84820\n42888 64323\n5048 7592\n70735 100000\n1186 1793\n55253 82857\n67154 100000\n44908 67351\n36524 54761\n88266 100000\n20792 31252\n2975 4492\n86575 100000\n30235 45344\n76237 100000\n77625 100000\n92123 100000\n96025 100000\n85955 100000\n75727 100000\n30193 45282\n7737 11624\n41802 62710\n48992 73433\n48502 72685\n92571 100000\n588 904\n93646 100000\n53641 80396\n43276 64911\n13053 19599\n95926 100000\n89207 100000\n89190 100000\n34175 51246\n84789 100000\n68729 100000\n88205 100000\n33650 50460\n10011 15027\n74018 100000\n52644 78899\n11424 17145\n1360 2061\n51425 77083\n4273 6431\n44546 66806\n77897 100000\n83070 100000\n38640 57939\n56700 85039\n9034 13545\n51257 76839\n58793 88185\n48125 72113\n57879 86799\n38593 57870\n57922 86864\n11307 16973\n19876 29882\n9405 14109\n83048 100000\n77186 100000\n32188 48289\n34686 52023\n77559 100000\n80033 100000\n79710 100000\n24617 36928\n81946 100000\n28759 43140\n3798 5724\n84167 100000\n83772 100000\n60170 90273\n61504 92258\n44231 66337\n54137 81143\n22536 33824\n21118 31743\n57158 85718\n89080 100000\n51190 76743\n94914 100000\n70960 100000\n79836 100000\n55957 83919\n59811 89741\n72860 100000\n51009 76469\n57868 86781\n96544 100000\n81392 100000\n85733 100000\n88012 100000\n87664 100000\n8013 12028\n38291 57423\n53513 80211\n2552 3845\n50511 75723\n83710 100000\n7779 11686\n19416 29192\n16416 24682\n53180 79710\n19951 29995\n6660 10017\n42923 64377\n37246 55849\n81602 100000\n31291 46952\n27217 40801\n98735 100000\n75365 100000\n75417 100000\n98047 100000\n61933 92910\n63511 95249\n77750 100000\n81222 100000\n94146 100000\n67556 100000\n29557 44323\n51420 77076\n48936 73350\n46144 69194\n67691 100000\n8122 12197\n78280 100000\n18057 27129\n12925 19397\n63384 95062\n96893 100000\n45434 68141\n48283 72354\n23071 34625\n39079 58579\n60612 90922\n78672 100000\n16256 24442\n60006 90033\n29493 44232\n81874 100000\n43785 65672\n54735 82061\n55775 83655\n48350 72456\n27211 40790\n98805 100000\n79514 100000\n33274 49896\n31171 46782\n84973 100000\n27684 41510\n74532 100000\n79598 100000\n43345 65020\n89273 100000\n3747 5646\n75791 100000\n32905 49353\n29851 44763\n64756 97120\n90712 100000\n43864 65785\n16318 24537\n38108 57142\n61407 92116\n29788 44666\n8507 12762\n19944 29984\n42237 63363\n88547 100000\n34155 51215\n97188 100000\n75473 100000\n66918 100000\n25306 37971\n98190 100000\n32242 48374\n37659 56471\n82382 100000\n49753 74585\n85593 100000\n78348 100000\n96270 100000\n68797 100000\n44502 66745\n74102 100000\n83273 100000\n65725 98592\n63941 95886\n26415 39628\n89211 100000\n92704 100000\n78205 100000\n75731 100000\n33009 49505\n34503 51745\n79558 100000\n60155 90255\n62142 93211\n21551 32391\n16644 25027\n32221 48338\n28658 42983\n61687 92531\n39311 58940\n85837 100000\n96900 100000\n36039 54030\n16423 24693\n88465 100000\n84883 100000\n93003 100000\n28738 43105\n2134 3201\n91342 100000\n38295 57430\n99298 100000\n49292 73878\n17260 25942\n48860 73235\n52127 78124\n75796 100000\n74822 100000\n32641 48958\n16802 25257\n62366 93566\n19654 29549\n97895 100000\n54642 81911\n21575 32425\n76393 100000\n27921 41876\n98223 100000\n83844 100000\n29122 43673\n46004 68982\n58349 87525\n3220 4860\n65138 97698\n7078 10644\n85470 100000\n61157 91743\n86566 100000\n73903 100000\n84017 100000\n26902 40336\n99765 100000\n9689 14539\n43961 65937\n29803 44693\n94603 100000\n14935 22469\n3964 5960\n81529 100000\n44697 67034\n41105 61647\n4655 7008\n36827 55227\n59290 88931\n42722 64071\n153 232\n8795 13194\n88998 100000\n92592 100000\n2438 3670\n71031 100000\n84851 100000\n51532 77230\n68998 100000\n15727 23659\n45355 68028\n55234 82828\n51275 76867\n72006 100000\n22778 34182\n14994 22558\n7482 11245\n13834 20795\n9790 14691\n43489 65238\n74405 100000\n87954 100000\n75090 100000\n37816 56705\n65644 98471\n8399 12607\n95544 100000\n97123 100000\n21599 32458\n49655 74434\n95327 100000\n65803 98714\n25349 38033\n7374 11083\n26387 39586\n31317 46994\n61635 92453\n95201 100000\n32634 48950\n91205 100000\n22929 34408\n63170 94756\n80536 100000\n33554 50317\n61677 92518\n47125 70637\n8732 13101\n10600 15899\n71715 100000\n56521 84775\n81513 100000\n56024 84021\n8004 12016\n58099 87136\n98399 100000\n50420 75589\n44407 66599\n64863 97280\n25888 38841\n39045 58532\n1443 2186\n51128 76651\n65522 98284\n42413 63618\n16201 24360\n50662 75952\n41862 62804\n8343 12527\n5809 8730\n72896 100000\n30252 45369\n96576 100000\n68863 100000\n71430 100000\n7066 10624\n75678 100000\n79822 100000\n79958 100000\n49855 74741\n31518 47290\n44818 67211\n27351 41002\n47622 71369\n34633 51939\n46342 69480\n54980 82433\n89692 100000\n21906 32906\n54767 82108\n51056 76539\n8215 12336\n58769 88148\n72280 100000\n81488 100000\n79851 100000\n28556 42826\n73983 100000\n7010 10539\n12797 19203\n6861 10312\n11033 16556\n46611 69875\n63679 95495\n63019 94538\n89372 100000\n21119 31744\n95578 100000\n24058 36102\n32799 49198\n628 962\n83312 100000\n6878 10338\n37663 56477\n39509 59239\n31441 47173\n66153 99250\n74269 100000\n79644 100000\n56270 84394\n11490 17245\n66268 99420\n69143 100000\n80058 100000\n19540 29378\n96632 100000\n62851 94292\n58521 87780\n75416 100000\n79633 100000\n42205 63310\n11691 17553\n11499 17258\n87243 100000\n87861 100000\n81370 100000\n52457 78616\n71587 100000\n75597 100000\n10913 16373\n29081 43612\n51608 77343\n36628 54924\n28370 42550\n10050 15083\n63392 95071\n74614 100000\n6274 9447\n45594 68386\n27929 41888\n98830 100000\n83001 100000\n23332 35013\n58085 87116\n32310 48472\n12916 19386\n97299 100000\n34104 51135\n75221 100000\n45202 67794\n92940 100000\n22736 34121\n36609 54895\n33269 49888\n92755 100000\n74417 100000\n97775 100000\n26737 40097\n84237 100000\n72224 100000\n68360 100000\n95888 100000\n75220 100000\n61543 92314\n33368 50032\n48222 72259\n50116 75119\n28006 42000\n17751 26671\n46649 69928\n97857 100000\n95853 100000\n86590 100000\n55905 83838\n97159 100000\n17430 26196\n25690 38529\n62158 93237\n24082 36138\n90278 100000\n52424 78569\n90552 100000\n77988 100000\n17281 25975\n22693 34062\n46513 69728\n65786 98688\n8114 12184\n29936 44894\n28017 42017\n1006 1525\n86142 100000\n48242 72289\n73338 100000\n2275 3420\n62005 93019\n24009 36031\n63036 94564\n49967 74899\n67612 100000\n86849 100000\n10341 15519\n10668 15999\n75386 100000\n52476 78644\n77569 100000\n62543 93831\n87087 100000\n69675 100000\n81200 100000\n11133 16710\n71806 100000\n31064 46624\n58711 88060\n40764 61134\n57089 85616\n84130 100000\n84583 100000\n15007 22579\n1381 2091\n64926 97380\n94033 100000\n90844 100000\n88099 100000\n61965 92961\n41796 62699\n40704 61035\n21801 32754\n44370 66545\n86484 100000\n27079 40598\n59391 89080\n39962 59915\n29751 44609\n90435 100000\n10892 16341\n79437 100000\n94255 100000\n45836 68736\n19773 29731\n81420 100000\n27653 41466\n24370 36575\n14086 21183\n84175 100000\n91490 100000\n48039 71984\n3275 4942\n45358 68033\n15075 22686\n80734 100000\n23793 35697\n23957 35952\n83519 100000\n76171 100000\n97868 100000\n53297 79891\n6383 9620\n83364 100000\n1356 2054\n99323 100000\n31660 47504\n48025 71968\n51693 77468\n75113 100000\n30909 46388\n45165 67739\n34234 51332\n66741 100000\n87160 100000\n81490 100000\n75228 100000\n63616 95407\n25350 38034\n41994 62993\n36023 54010\n80136 100000\n97084 100000\n38850 58251\n26956 40413\n50542 75769\n13821 20776\n16453 24739\n45129 67684\n23277 34932\n11288 16942\n9777 14672\n9700 14554\n71509 100000\n10704 16050\n68138 100000\n85522 100000\n22875 34327\n28953 43433\n69569 100000\n47440 71100\n44893 67329\n51269 76858\n14599 21949\n51555 77265\n37528 56265\n52851 79213\n73776 100000\n93724 100000\n32878 49313\n17380 26128\n20365 30616\n31928 47901\n16117 24232\n29109 43652\n40021 60007\n11479 17231\n21824 32788\n39053 58542\n98877 100000\n29355 44037\n23187 34798\n45090 67628\n45007 67496\n75456 100000\n23792 35696\n39013 58484\n92847 100000\n89678 100000\n57901 86833\n98878 100000\n94497 100000\n63631 95425\n66123 99206\n8896 13347\n44963 67428\n67626 100000\n94350 100000\n57969 86934\n72961 100000\n16389 24641\n63848 95746\n18736 28171\n499 766\n39975 59937\n23839 35768\n69434 100000\n41424 62134\n63860 95765\n72709 100000\n54151 81163\n18173 27304\n92522 100000\n75276 100000\n36491 54713\n83508 100000\n60611 90921\n74394 100000\n76555 100000\n43218 64819\n89600 100000\n88575 100000\n93977 100000\n12225 18355\n32845 49263\n26920 40362\n72500 100000\n13372 20081\n86534 100000\n45102 67644\n57794 86679\n63426 95125\n10862 16296\n40509 60745\n64600 96887\n29923 44871\n69712 100000\n89450 100000\n61140 91716\n60695 91049\n56611 84907\n64683 97015\n49808 74673\n9765 14652\n42135 63199\n36404 54586\n93521 100000\n3307 4991\n47687 71467\n38482 57708\n89928 100000\n28547 42813\n57159 85720\n18678 28076\n19982 30042\n44062 66083\n55488 83214\n35473 53195\n46961 70391\n31906 47870\n58759 88135\n94524 100000\n88544 100000\n9345 14022\n60229 90356\n72142 100000\n73007 100000\n34223 51316\n43258 64882\n14248 21422\n83449 100000\n78755 100000\n97946 100000\n34083 51106\n14561 21890\n74799 100000\n52774 79091\n1651 2491\n31859 47800\n54170 81192\n40203 60288\n91017 100000\n88316 100000\n84465 100000\n61866 92811\n63497 95230\n26389 39589\n43203 64795\n89195 100000\n553 847\n63072 94620\n22949 34437\n5209 7833\n14030 21097\n54139 81146\n11927 17903\n86064 100000\n80588 100000\n13248 19897\n35270 52887\n62013 93029\n80110 100000\n24445 36684\n33144 49705\n43907 65853\n32950 49422\n43909 65856\n73326 100000\n39482 59194\n58000 86984\n35858 53762\n94002 100000\n67175 100000\n46724 70037\n56085 84113\n85104 100000\n76593 100000\n15209 22882\n23102 34674\n56456 84678\n89857 100000\n38926 58359\n92256 100000\n52841 79197\n90798 100000\n50631 75904\n64284 96414\n82282 100000\n20499 30809\n21659 32537\n45758 68621\n35729 53566\n45103 67645\n5454 8198\n76772 100000\n8696 13048\n7283 10950\n90922 100000\n40307 60440\n69285 100000\n44059 66079\n21937 32953\n63300 94940\n64937 97398\n98022 100000\n405 622\n12759 19148\n56725 85072\n46435 69615\n81760 100000\n3868 5821\n44396 66586\n88789 100000\n44151 66220\n6560 9866\n80257 100000\n64964 97439\n12066 18115\n61306 91968\n21472 32279\n93655 100000\n38043 57049\n69755 100000\n56268 84392\n98849 100000\n30665 46012\n32738 49110\n24268 36418\n88325 100000\n60590 90893\n43600 65401\n32968 49446\n89339 100000\n75048 100000\n52799 79130\n65871 98817\n64596 96881\n7932 11920\n2577 3886\n39217 58790\n40547 60804\n63418 95111\n77899 100000\n3359 5070\n69705 100000\n64922 97373\n77796 100000\n68279 100000\n12384 18586\n23845 35778\n54116 81110\n56772 85140\n32774 49159\n34003 50987\n20669 31060\n76251 100000\n71187 100000\n46967 70400\n11773 17673\n96113 100000\n33271 49892\n49673 74461\n6590 9913\n29517 44269\n75985 100000\n35536 53283\n29815 44712\n87899 100000\n70842 100000\n80823 100000\n38920 58351\n59319 88974\n95714 100000\n38434 57635\n14878 22380\n23495 35252\n35037 52550\n16314 24530\n21222 31897\n80086 100000\n73895 100000\n80784 100000\n38503 57744\n21636 32508\n38098 57130\n11273 16916\n53747 80553\n26331 39508\n99882 100000\n19855 29854\n27018 40502\n8515 12773\n60697 91052\n51339 76957\n56601 84894\n95613 100000\n45068 67597\n44295 66431\n81873 100000\n94776 100000\n38060 57073\n62518 93796\n66236 99373\n30412 45618\n81886 100000\n20171 30323\n12526 18791\n27943 41911\n85426 100000\n9211 13813\n58764 88143\n8476 12719\n23873 35819\n56739 85091\n12653 18990\n72694 100000\n61431 92151\n98125 100000\n35449 53158\n12728 19099\n62715 94085\n35732 53570\n35390 53068\n42810 64208\n77871 100000\n45852 68759\n70595 100000\n98591 100000\n67247 100000\n2884 4352\n2207 3316\n14953 22493\n7614 11442\n19900 29917\n30281 45412\n69943 100000\n4053 6092\n88599 100000\n64908 97351\n82475 100000\n7589 11407\n74454 100000\n6195 9327\n64973 97452\n63431 95132\n26829 40231\n18643 28019\n33066 49589\n44542 66801\n29194 43780\n83766 100000\n22733 34116\n6447 9706\n82286 100000\n53009 79448\n81330 100000\n43341 65015\n86783 100000\n83061 100000\n77760 100000\n62274 93418\n27809 41708\n88652 100000\n75574 100000\n15885 23887\n80258 100000\n5467 8217\n10084 15135\n79439 100000\n91361 100000\n32184 48282\n57656 86476\n26491 39739\n28057 42078\n94466 100000\n4555 6856\n44647 66959\n5161 7762\n10349 15530\n69924 100000\n51656 77412\n39637 59436\n72812 100000\n99035 100000\n89634 100000\n76745 100000\n64322 96470\n61527 92290\n28020 42022\n65736 98611\n5981 8990\n21252 31945\n31135 46725\n7920 11902\n96758 100000\n49984 74928\n74966 100000\n12659 18998\n86720 100000\n47611 71352\n85890 100000\n62097 93146\n81164 100000\n75126 100000\n7406 11128\n49420 74069\n73461 100000\n16695 25104\n98712 100000\n48132 72125\n31103 46680\n8378 12579\n85062 100000\n10887 16334\n63350 95013\n24793 37201\n59766 89676\n63698 95522\n29908 44847\n8965 13446\n90730 100000\n69706 100000\n15410 23188\n68962 100000\n88428 100000\n7667 11523\n33020 49521\n63851 95751\n8753 13133\n58298 87446\n58092 87126\n15815 23784\n28853 43280\n21825 32789\n58686 88020\n16541 24871\n38365 57530\n76360 100000\n69008 100000\n83176 100000\n3399 5132\n13262 19916\n23216 34845\n63461 95175\n554 849\n62681 94036\n11537 17316\n10755 16130\n84710 100000\n88835 100000\n88704 100000\n52230 78277\n37478 56194\n84537 100000\n36364 54527\n57858 86766\n97872 100000\n8314 12479\n67022 100000\n74274 100000\n11940 17920\n16190 24342\n48308 72389\n28867 43301\n81313 100000\n52491 78668\n53439 80103\n18331 27541\n10255 15396\n93183 100000\n48213 72245\n1949 2933\n86423 100000\n11170 16762\n12662 19003\n75301 100000\n21295 32007\n49263 73831\n30880 46343\n47681 71459\n82612 100000\n61947 92934\n60077 90139\n68179 100000\n31457 47197\n89636 100000\n94125 100000\n1927 2899\n81530 100000\n85321 100000\n47118 70626\n95995 100000\n95829 100000\n86779 100000\n15102 22727\n89977 100000\n47146 70671\n56752 85108\n80269 100000\n32745 49119\n67961 100000\n95736 100000\n31405 47120\n55568 83338\n75334 100000\n33633 50433\n93279 100000\n64974 97454\n71701 100000\n74796 100000\n3928 5913\n98 153\n16557 24899\n92837 100000\n55904 83836\n87347 100000\n13850 20819\n77601 100000\n39742 59589\n6015 9042\n37278 55897\n59703 89574\n40368 60530\n58688 88022\n34654 51972\n32440 48670\n82589 100000\n60370 90571\n26771 40148\n79157 100000\n55363 83023\n6573 9885\n73745 100000\n36617 54908\n13523 20320\n64296 96433\n56222 84320\n35313 52954\n16315 24531\n69749 100000\n4317 6498\n7864 11814\n35144 52708\n57011 85505\n73741 100000\n48243 72290\n44483 66710\n40040 60035\n39024 58500\n33640 50445\n61630 92446\n18107 27202\n44139 66203\n22575 33887\n42647 63962\n55870 83785\n42812 64211\n57167 85731\n40194 60273\n32031 48060\n61733 92598\n49233 73791\n78799 100000\n49735 74557\n81885 100000\n42976 64456\n28238 42345\n97924 100000\n24468 36719\n64029 96025\n66895 100000\n48820 73173\n24424 36654\n20754 31193\n18446 27710\n58716 88067\n25575 38361\n73270 100000\n29036 43553\n72254 100000\n43874 65799\n97691 100000\n51569 77283\n66051 99095\n26630 39954\n95819 100000\n61470 92212\n31909 47874\n77786 100000\n21377 32129\n87306 100000\n15563 23418\n91102 100000\n1561 2360\n20021 30101\n97918 100000\n45535 68297\n98045 100000\n13628 20481\n25158 37756\n41794 62696\n24062 36108\n92027 100000\n55589 83368\n48875 73258\n39804 59680\n89738 100000\n72190 100000\n98752 100000\n88254 100000\n90044 100000\n18805 28280\n56903 85335\n50119 75125\n28911 43366\n29855 44769\n99477 100000\n45446 68158\n68972 100000\n13880 20867\n91420 100000\n51114 76629\n35966 53923\n87484 100000\n78564 100000\n81670 100000\n34272 51388\n10115 15185\n88728 100000\n26425 39644\n52842 79199\n56840 85247\n36517 54752\n89057 100000\n9030 13540\n57004 85495\n19212 28882\n91525 100000\n50913 76330\n89405 100000\n16041 24119\n56093 84127\n62176 93266\n30521 45790\n24459 36706\n8558 12838\n4585 6903\n88527 100000\n45237 67849\n9740 14615\n47562 71276\n18011 27060\n50998 76451\n78110 100000\n48694 72985\n86076 100000\n44268 66393\n18343 27558\n31252 46899\n10562 15840\n98867 100000\n23672 35516\n30856 46305\n76431 100000\n95490 100000\n68939 100000\n28241 42350\n54169 81191\n37013 55498\n88678 100000\n89420 100000\n86222 100000\n20852 31342\n88079 100000\n19874 29880\n97549 100000\n81678 100000\n1491 2257\n64702 97045\n13406 20135\n99884 100000\n33668 50487\n35534 53281\n50154 75176\n12201 18321\n5912 8888\n63836 95727\n63284 94919\n34439 51645\n44412 66608\n90842 100000\n29509 44257\n60347 90535\n63909 95842\n8711 13070\n70340 100000\n90741 100000\n85505 100000\n96676 100000\n72899 100000\n71941 100000\n71282 100000\n1333 2023\n56439 84652\n95498 100000\n66672 100000\n58557 87829\n13007 19529\n41851 62787\n63884 95803\n65760 98647\n41473 62206\n95732 100000\n65614 98427\n13625 20476\n38682 58005\n28301 42443\n56100 84136\n39084 58586\n4390 6610\n14688 22093\n97327 100000\n8568 12856\n62913 94381\n66891 100000\n60543 90824\n3148 4747\n1855 2793\n91340 100000\n42383 63570\n21928 32939\n37709 56540\n103 160\n27579 41355\n65276 97906\n77564 100000\n65297 97941\n89411 100000\n72168 100000\n90729 100000\n80194 100000\n21220 31894\n13451 20209\n69539 100000\n80160 100000\n28778 43169\n4730 7121\n4566 6874\n77289 100000\n8644 12969\n12704 19064\n5884 8847\n34144 51198\n60740 91115\n12906 19369\n21940 32957\n72973 100000\n68685 100000\n93621 100000\n18964 28516\n95242 100000\n79320 100000\n3475 5241\n67121 100000\n62401 93618\n74265 100000\n5714 8587\n69257 100000\n23511 35279\n80638 100000\n82250 100000\n30673 46027\n2652 3994\n75141 100000\n47052 70529\n68609 100000\n99636 100000\n24316 36491\n80680 100000\n47912 71796\n93855 100000\n89356 100000\n90252 100000\n90551 100000\n13426 20169\n13030 19566\n60368 90569\n66059 99107\n87497 100000\n94987 100000\n17696 26587\n99480 100000\n90300 100000\n2506 3777\n99771 100000\n41251 61873\n86335 100000\n96109 100000\n20299 30515\n58161 87233\n9930 14909\n68502 100000\n61478 92223\n98677 100000\n20585 30931\n60216 90337\n73155 100000\n20717 31139\n75160 100000\n15575 23433\n22273 33435\n42018 63026\n27873 41806\n37641 56444\n65611 98421\n19339 29074\n38486 57715\n67901 100000\n59985 90003\n25643 38465\n27529 41282\n73632 100000\n52395 78524\n60659 90993\n75178 100000\n870 1321\n36135 54171\n80413 100000\n48198 72223\n88888 100000\n8257 12399\n95213 100000\n48193 72215\n20456 30744\n32732 49101\n24814 37234\n83958 100000\n54130 81132\n37552 56301\n64832 97233\n81196 100000\n91256 100000\n72166 100000\n22684 34051\n45552 68322\n78123 100000\n70454 100000\n37556 56308\n18922 28456\n58222 87322\n57487 86224\n64226 96329\n12034 18064\n94467 100000\n19220 28892\n58767 88146\n82979 100000\n8078 12127\n59040 88553\n92988 100000\n15868 23859\n82519 100000\n49904 74811\n33027 49531\n77014 100000\n56333 84488\n7605 11428\n66408 99628\n65320 97977\n28144 42204\n591 908\n39480 59192\n89759 100000\n60884 91339\n98863 100000\n24687 37036\n72614 100000\n70594 100000\n12508 18768\n63234 94848\n33213 49808\n15888 23892\n43391 65090\n62784 94192\n88372 100000\n12790 19191\n97798 100000\n94134 100000\n6681 10049\n34587 51874\n14026 21089\n35735 53574\n18469 27748\n23095 34665\n25149 37744\n88720 100000\n99936 100000\n48249 72299\n77070 100000\n27170 40733\n76529 100000\n77283 100000\n8530 12796\n91832 100000\n78204 100000\n1074 1622\n84107 100000\n38658 57967\n25926 38900\n79326 100000\n43990 65980\n67322 100000\n56693 85029\n24407 36629\n86666 100000\n43346 65022\n6908 10383\n61706 92558\n2349 3533\n96673 100000\n61375 92073\n52211 78249\n80023 100000\n823 1251\n3031 4575\n87327 100000\n9876 14823\n63617 95408\n43184 64769\n74148 100000\n60232 90360\n96558 100000\n69026 100000\n35337 52987\n62438 93674\n8198 12310\n33529 50276\n87423 100000\n30626 45957\n23276 34931\n31282 46940\n66732 100000\n52209 78247\n93700 100000\n44246 66357\n36826 55226\n78076 100000\n12827 19246\n7999 12011\n48749 73070\n52212 78251\n85301 100000\n99658 100000\n89703 100000\n62737 94117\n69338 100000\n7817 11742\n56465 84692\n33701 50533\n47662 71430\n34565 51838\n94225 100000\n16358 24593\n75656 100000\n10474 15715\n73986 100000\n89186 100000\n8751 13130\n52430 78578\n83256 100000\n1507 2281\n16870 25357\n55237 82833\n23121 34701\n3874 5830\n79167 100000\n41526 62287\n2970 4485\n39284 58896\n88776 100000\n11932 17910\n58480 87720\n634 969\n42101 63148\n25524 38289\n58457 87693\n39909 59836\n74927 100000\n5140 7733\n34610 51906\n63653 95456\n46848 70219\n23007 34519\n41534 62298\n35752 53600\n1674 2525\n79841 100000\n32235 48364\n16067 24157\n87098 100000\n49536 74251\n64571 96843\n27115 40650\n30097 45131\n86966 100000\n51227 76799\n90818 100000\n11347 17032\n79981 100000\n92446 100000\n85088 100000\n63316 94962\n51482 77157\n187 285\n40167 60232\n23245 34882\n19940 29979\n48552 72768\n29189 43771\n77323 100000\n13055 19602\n20342 30582\n22574 33885\n29239 43848\n21934 32947\n12954 19443\n26640 39968\n8959 13438\n36091 54107\n77816 100000\n74984 100000\n88810 100000\n57795 86680\n93378 100000\n21829 32795\n11235 16857\n58364 87549\n18860 28364\n23010 34523\n27424 41121\n97485 100000\n45624 68428\n26039 39066\n60096 90171\n87781 100000\n1133 1712\n78224 100000\n93364 100000\n26892 40320\n39953 59901\n19418 29194\n9393 14091\n45607 68404\n23624 35443\n42453 63676\n78065 100000\n85622 100000\n7763 11666\n76434 100000\n34757 52129\n72543 100000\n56754 85111\n57823 86721\n71953 100000\n81915 100000\n61324 91995\n24007 36029\n84404 100000\n62428 93660\n97321 100000\n67466 100000\n12241 18377\n6561 9867\n38837 58231\n75516 100000\n70401 100000\n79640 100000\n27915 41867\n36529 54769\n37832 56728\n46970 70404\n14926 22454\n44013 66015\n78999 100000\n96438 100000\n83646 100000\n69300 100000\n79983 100000\n12986 19495\n17348 26078\n28493 42737\n64238 96347\n4772 7187\n33832 50737\n83356 100000\n94759 100000\n87717 100000\n40466 60681\n62839 94278\n33686 50511\n26764 40139\n66400 99617\n49629 74390\n43263 64889\n20196 30362\n29377 44069\n78682 100000\n81423 100000\n32652 48976\n54538 81760\n47703 71489\n73563 100000\n9516 14275\n3719 5602\n54575 81812\n65278 97909\n74649 100000\n90511 100000\n32701 49055\n94615 100000\n69239 100000\n47131 70648\n20345 30587\n7220 10859\n56407 84605\n63415 95106\n84909 100000\n23746 35628\n11910 17882\n82919 100000\n92556 100000\n30397 45594\n79127 100000\n72564 100000\n49511 74208\n47853 71707\n45254 67877\n17996 27036\n20079 30183\n9984 14983\n87744 100000\n46306 69427\n75067 100000\n40313 60449\n34818 52222\n88891 100000\n42502 63749\n97156 100000\n44862 67279\n832 1266\n26871 40290\n68584 100000\n97603 100000\n99251 100000\n17455 26232\n2520 3796\n48522 72719\n9888 14843\n22162 33282\n63620 95411\n35241 52849\n35 54\n63652 95455\n87608 100000\n62357 93553\n77519 100000\n91058 100000\n98187 100000\n23176 34783\n2946 4447\n3464 5225\n9119 13670\n13529 20328\n12149 18235\n85148 100000\n16822 25288\n67946 100000\n98565 100000\n74554 100000\n92046 100000\n19130 28765\n51312 76917\n82064 100000\n49462 74132\n43913 65863\n59470 89210\n41945 62925\n5403 8120\n16674 25073\n50649 75933\n73273 100000\n60329 90509\n65355 98036\n2482 3737\n81026 100000\n7967 11967\n95857 100000\n88219 100000\n91660 100000\n17357 26092\n33665 50483\n30558 45849\n64767 97137\n86910 100000\n98420 100000\n46310 69433\n71491 100000\n75995 100000\n21354 32096\n22911 34380\n61085 91638\n60621 90937\n20388 30648\n5994 9009\n29226 43829\n16701 25113\n8233 12362\n1287 1950\n79717 100000\n99531 100000\n16286 24483\n17387 26136\n57482 86217\n48196 72221\n94754 100000\n26798 40190\n39968 59926\n33030 49536\n48187 72208\n21314 32036\n72152 100000\n87657 100000\n15433 23226\n84251 100000\n51164 76702\n9658 14489\n30998 46530\n74471 100000\n28713 43065\n12730 19102\n23243 34880\n68148 100000\n31116 46698\n99179 100000\n66486 99748\n31011 46546\n83179 100000\n35416 53109\n7528 11316\n46520 69738\n8662 12996\n73629 100000\n4896 7362\n40161 60221\n83569 100000\n11573 17370\n96435 100000\n37719 56554\n32306 48466\n14756 22203\n44628 66933\n17713 26613\n41141 61700\n82861 100000\n59563 89353\n80813 100000\n91609 100000\n44828 67227\n11094 16654\n18957 28506\n92346 100000\n77558 100000\n91022 100000\n83617 100000\n28120 42168\n41175 61755\n79742 100000\n62458 93705\n96107 100000\n75746 100000\n76595 100000\n1925 2895\n71474 100000\n46645 69922\n99254 100000\n80686 100000\n81151 100000\n3266 4928\n15315 23044\n19415 29190\n74975 100000\n13953 20980\n80730 100000\n65026 97529\n70997 100000\n70805 100000\n85727 100000\n60479 90733\n57542 86304\n21873 32862\n33914 50859\n30188 45275\n91740 100000\n44527 66779\n77670 100000\n27020 40506\n25721 38582\n26765 40141\n40477 60701\n65987 98994\n4291 6460\n16782 25226\n37095 55621\n29199 43785\n23275 34930\n50429 75600\n84577 100000\n75527 100000\n7633 11471\n96143 100000\n64253 96369\n59492 89247\n91966 100000\n3093 4665\n13531 20331\n82799 100000\n68842 100000\n8185 12290\n59143 88709\n22627 33965\n91820 100000\n82822 100000\n33788 50671\n95432 100000\n54743 82072\n52048 78014\n60775 91172\n57689 86524\n43133 64695\n55530 83279\n5551 8343\n5182 7792\n25343 38027\n71996 100000\n36842 55248\n25610 38412\n58843 88255\n52662 78926\n45569 68346\n22701 34074\n45618 68421\n40222 60314\n20046 30138\n54875 82273\n99705 100000\n23148 34744\n77657 100000\n62997 94505\n10420 15638\n37750 56605\n56648 84962\n29307 43957\n25299 37960\n7568 11375\n82739 100000\n35115 52664\n93832 100000\n30254 45372\n71183 100000\n38316 57460\n19905 29924\n34110 51145\n55843 83747\n99033 100000\n57625 86428\n18472 27751\n90433 100000\n61046 91580\n30836 46275\n48969 73396\n79407 100000\n77430 100000\n74929 100000\n65602 98406\n43259 64884\n62698 94059\n35847 53743\n65142 97704\n45091 67630\n1997 3002\n32109 48179\n36922 55363\n12801 19210\n24105 36178\n3796 5721\n1672 2522\n85299 100000\n79346 100000\n72658 100000\n59639 89476\n70388 100000\n97117 100000\n85703 100000\n62324 93499\n95622 100000\n54826 82201\n14259 21438\n79145 100000\n28443 42656\n61502 92255\n1691 2547\n28634 42945\n75921 100000\n24908 37370\n39413 59091\n94961 100000\n80337 100000\n41391 62084\n90299 100000\n92052 100000\n71775 100000\n61092 91649\n396 607\n6906 10379\n47468 71139\n44063 66084\n54381 81519\n62255 93390\n99072 100000\n3060 4617\n41878 62828\n67886 100000\n95325 100000\n63514 95254\n51645 77395\n25314 37983\n87040 100000\n18238 27403\n14226 21392\n72036 100000\n50641 75921\n76128 100000\n9214 13819\n50575 75816\n26116 39182\n12477 18723\n78266 100000\n88332 100000\n9738 14611\n50187 75231\n95653 100000\n18075 27158\n15337 23078\n38432 57632\n29240 43850\n37628 56425\n56938 85391\n19097 28713\n3826 5759\n89633 100000\n557 853\n91549 100000\n48354 72460\n12424 18645\n90831 100000\n95727 100000\n87902 100000\n9616 14429\n68850 100000\n83655 100000\n10490 15741\n43546 65323\n52993 79421\n1435 2173\n75078 100000\n93565 100000\n76186 100000\n70147 100000\n85852 100000\n64724 97076\n71728 100000\n22712 34089\n77008 100000\n47984 71910\n64849 97258\n96834 100000\n14534 21852\n4453 6704\n32929 49390\n20820 31299\n79797 100000\n77748 100000\n28070 42096\n70513 100000\n51546 77251\n73541 100000\n20460 30751\n57951 86908\n10532 15798\n29935 44893\n87963 100000\n91497 100000\n2056 3090\n81974 100000\n54507 81714\n24288 36448\n30806 46234\n12613 18925\n17571 26404\n21783 32724\n12065 18114\n20073 30175\n2774 4183\n35548 53299\n69141 100000\n83262 100000\n31757 47651\n18306 27503\n91960 100000\n83187 100000\n97651 100000\n41249 61869\n25835 38763\n81994 100000\n15166 22819\n44754 67120\n42283 63424\n73545 100000\n77548 100000\n78664 100000\n85329 100000\n88206 100000\n89502 100000\n18990 28557\n74559 100000\n82729 100000\n30450 45680\n72400 100000\n80804 100000\n5664 8513\n85616 100000\n59206 88803\n7752 11649\n56515 84765\n11740 17621\n40327 60468\n35300 52933\n58813 88213\n22986 34490\n51618 77357\n56980 85456\n6434 9690\n21156 31797\n57303 85946\n23763 35654\n37972 56938\n79482 100000\n31004 46537\n48008 71943\n71935 100000\n98087 100000\n42014 63022\n8053 12088\n97434 100000\n82944 100000\n15497 23320\n61818 92731\n23183 34793\n60307 90472\n9915 14887\n36507 54738\n27176 40741\n53861 80726\n10461 15701\n35479 53202\n25564 38346\n36397 54575\n71932 100000\n35360 53020\n58844 88257\n67532 100000\n87996 100000\n1472 2228\n58225 87327\n50092 75082\n7546 11341\n52057 78027\n64451 96663\n53360 79986\n18734 28168\n32116 48190\n45987 68954\n73121 100000\n71062 100000\n78545 100000\n55863 83773\n65998 99012\n42081 63116\n2658 4003\n27808 41706\n60348 90537\n75895 100000\n44953 67415\n1222 1852\n42507 63757\n37421 56107\n65270 97895\n76280 100000\n49530 74240\n57800 86687\n81086 100000\n58065 87087\n14762 22213\n86323 100000\n45508 68253\n75289 100000\n98103 100000\n74533 100000\n13274 19931\n65831 98758\n83698 100000\n59706 89580\n23935 35916\n7076 10641\n51784 77607\n58585 87870\n10814 16220\n15012 22586\n9470 14199\n84306 100000\n22105 33199\n45762 68627\n79304 100000\n45929 68869\n88424 100000\n71206 100000\n62181 93274\n79201 100000\n4664 7022\n72644 100000\n71068 100000\n11720 17593\n47025 70489\n61439 92164\n89956 100000\n97695 100000\n71692 100000\n52764 79076\n12086 18143\n45185 67770\n3919 5901\n46447 69631\n549 842\n97582 100000\n18878 28390\n2912 4395\n96493 100000\n67255 100000\n6760 10167\n46761 70096\n67292 100000\n5178 7784\n26863 40280\n59799 89721\n77149 100000\n40084 60103\n20676 31072\n51934 77834\n99852 100000\n55252 82856\n51354 76979\n50072 75051\n20699 31108\n81303 100000\n15287 23004\n22270 33432\n27826 41732\n71958 100000\n81096 100000\n57005 85497\n29150 43717\n72557 100000\n96402 100000\n29106 43647\n34370 51541\n7113 10697\n21529 32359\n674 1029\n38197 57281\n64290 96423\n31092 46664\n69071 100000\n65178 97759\n39913 59841\n40120 60157\n61224 91843\n61831 92752\n79493 100000\n47377 71016\n27148 40700\n92775 100000\n74795 100000\n7178 10794\n80535 100000\n70750 100000\n93610 100000\n24460 36707\n38576 57849\n3653 5503\n21278 31983\n62251 93385\n42388 63578\n90015 100000\n720 1096\n72494 100000\n93431 100000\n65899 98864\n74711 100000\n93541 100000\n72489 100000\n83082 100000\n79054 100000\n79879 100000\n10083 15133\n5524 8300\n84447 100000\n80451 100000\n88179 100000\n79969 100000\n96123 100000\n9872 14818\n98964 100000\n74885 100000\n99810 100000\n58884 88319\n23141 34730\n8311 12474\n55384 83055\n55669 83490\n1619 2441\n76997 100000\n90085 100000\n43827 65733\n74803 100000\n73167 100000\n58365 87550\n80365 100000\n6790 10208\n16439 24717\n62040 93068\n72355 100000\n67531 100000\n92483 100000\n96921 100000\n37324 55963\n48275 72341\n42592 63883\n62487 93746\n9415 14121\n41050 61568\n57408 86108\n74384 100000\n6566 9876\n6087 9156\n90525 100000\n19051 28642\n77624 100000\n26290 39444\n85868 100000\n25743 38618\n29645 44451\n23205 34826\n87357 100000\n86898 100000\n113 175\n69196 100000\n53905 80794\n70289 100000\n2624 3954\n4831 7268\n72673 100000\n24716 37081\n14076 21168\n6646 9998\n19283 28983\n93384 100000\n56411 84611\n27525 41275\n82109 100000\n55994 83974\n68708 100000\n95654 100000\n70186 100000\n77911 100000\n84604 100000\n37247 55851\n23067 34618\n52004 77943\n21466 32267\n14995 22560\n96857 100000\n50319 75432\n6517 9807\n14863 22358\n67657 100000\n3786 5705\n20568 30904\n60843 91274\n59823 89761\n69520 100000\n43486 65233\n3129 4719\n58673 88001\n4785 7205\n3064 4624\n35276 52898\n30565 45859\n13533 20334\n51873 77746\n73495 100000\n75609 100000\n34152 51210\n70828 100000\n40918 61365\n5276 7930\n51296 76894\n92813 100000\n75136 100000\n32076 48130\n12410 18623\n70195 100000\n54263 81327\n75213 100000\n49326 73927\n13667 20539\n63635 95431\n89553 100000\n74129 100000\n18694 28104\n51573 77288\n4378 6592\n68470 100000\n59796 89717\n66685 100000\n62270 93413\n58016 87008\n31653 47495\n99710 100000\n56674 84997\n989 1499\n7086 10654\n57368 86048\n3510 5288\n32564 48849\n80157 100000\n14055 21135\n88903 100000\n38911 58338\n20822 31302\n34924 52384\n70519 100000\n44141 66207\n94399 100000\n88001 100000\n25824 38746\n89049 100000\n83291 100000\n8205 12320\n84996 100000\n64252 96367\n8734 13104\n17362 26098\n6089 9158\n96559 100000\n70254 100000\n79453 100000\n3683 5547\n43648 65469\n68671 100000\n87244 100000\n73051 100000\n75868 100000\n28137 42194\n63207 94806\n47792 71623\n81667 100000\n7411 11136\n86628 100000\n34329 51476\n12428 18653\n65984 98989\n20367 30618\n51022 76489\n19437 29224\n9565 14351\n15363 23119\n58353 87532\n16283 24480\n55640 83446\n73619 100000\n85798 100000\n65960 98954\n53638 80393\n25366 38058\n48505 72690\n9438 14155\n2179 3276\n28468 42698\n86740 100000\n63056 94595\n47572 71291\n63768 95621\n31643 47478\n64700 97042\n35972 53932\n90497 100000\n22118 33218\n66784 100000\n70121 100000\n23909 35878\n62891 94349\n87880 100000\n95028 100000\n36178 54236\n2175 3269\n20423 30696\n91883 100000\n94380 100000\n43229 64835\n87106 100000\n55709 83551\n72637 100000\n51703 77483\n21939 32956\n70229 100000\n65996 99009\n59291 88932\n59733 89623\n20011 30087\n38302 57440\n51435 77095\n22770 34173\n85828 100000\n54754 82088\n80164 100000\n5247 7890\n89388 100000\n99642 100000\n73959 100000\n14135 21258\n67112 100000\n76189 100000\n18038 27100\n21145 31781\n3293 4971\n35385 53060\n57026 85527\n43558 65340\n997 1512\n14401 21652\n42210 63319\n1327 2013\n40938 61397\n49969 74902\n56628 84932\n5527 8304\n62643 93977\n26645 39974\n95276 100000\n96508 100000\n89001 100000\n77203 100000\n41419 62127\n24352 36548\n21085 31695\n5148 7744\n13530 20329\n72231 100000\n71048 100000\n23798 35705\n40998 61484\n57397 86091\n90301 100000\n89907 100000\n39168 58709\n38386 57562\n76351 100000\n54233 81282\n47830 71674\n82313 100000\n10185 15288\n53621 80368\n78702 100000\n67249 100000\n81268 100000\n46638 69911\n95205 100000\n38989 58449\n62454 93700\n15386 23150\n1992 2996\n86499 100000\n37265 55880\n3360 5072\n45582 68368\n43340 65013\n60784 91185\n68011 100000\n19585 29447\n5055 7604\n50069 75047\n45280 67917\n15250 22947\n37419 56105\n98909 100000\n6234 9387\n38323 57470\n19054 28646\n15288 23005\n98811 100000\n6843 10288\n88321 100000\n30017 45011\n56482 84717\n32272 48419\n23546 35328\n24026 36057\n63236 94851\n44366 66540\n23285 34945\n45255 67879\n85946 100000\n12994 19508\n13460 20224\n21270 31972\n57480 86213\n50455 75641\n60568 90859\n85428 100000\n49607 74358\n46130 69171\n23937 35920\n79831 100000\n1742 2622\n68466 100000\n2980 4499\n8570 12859\n22246 33399\n93505 100000\n4309 6486\n73339 100000\n87181 100000\n18196 27340\n7161 10768\n67363 100000\n59487 89238\n16441 24721\n60663 91000\n33711 50550\n735 1120\n99230 100000\n36251 54349\n19071 28673\n81493 100000\n76958 100000\n55919 83858\n69064 100000\n11849 17786\n78798 100000\n82484 100000\n78789 100000\n50436 75611\n58512 87766\n49886 74788\n14159 21292\n23480 35231\n73845 100000\n79367 100000\n33939 50892\n52758 79068\n72476 100000\n60217 90338\n97965 100000\n41712 62569\n8112 12181\n27372 41035\n93243 100000\n95470 100000\n22469 33727\n65933 98912\n77765 100000\n78763 100000\n54280 81355\n69532 100000\n96165 100000\n41941 62920\n63007 94520\n58492 87738\n36127 54160\n9037 13549\n21647 32521\n62904 94368\n3695 5565\n17388 26138\n51948 77857\n40063 60073\n92680 100000\n65137 97696\n58144 87207\n52633 78881\n70858 100000\n48580 72809\n10273 15423\n83463 100000\n36193 54258\n34419 51615\n45324 67982\n2024 3043\n39935 59877\n84218 100000\n36489 54710\n79349 100000\n47634 71388\n25223 37852\n91331 100000\n12373 18569\n12476 18722\n37344 55990\n48297 72374\n46767 70103\n72541 100000\n78475 100000\n365 562\n39159 58694\n40031 60023\n64816 97212\n2906 4385\n45375 68058\n19761 29713\n6084 9151\n61513 92270\n65955 98946\n35515 53252\n94959 100000\n46720 70031\n46363 69508\n1129 1706\n32345 48528\n94883 100000\n75477 100000\n67952 100000\n62297 93455\n61355 92042\n22053 33119\n33853 50769\n50347 75476\n13895 20888\n16667 25064\n87260 100000\n37819 56709\n51827 77675\n59622 89447\n93143 100000\n3614 5441\n41993 62992\n53199 79739\n25212 37836\n15528 23365\n89783 100000\n73818 100000\n57058 85572\n63972 95928\n52825 79169\n24677 37021\n5323 8004\n21717 32623\n59216 88818\n46062 69075\n93118 100000\n30074 45093\n53171 79695\n55555 83319\n46690 69987\n23578 35378\n49743 74569\n23186 34797\n76364 100000\n34301 51432\n93421 100000\n49473 74149\n64899 97335\n97992 100000\n77158 100000\n28314 42462\n79832 100000\n38516 57762\n32381 48580\n30143 45204\n10555 15831\n82236 100000\n30934 46428\n41659 62486\n82208 100000\n27469 41195\n5871 8828\n45693 68531\n38619 57908\n45189 67777\n88024 100000\n70230 100000\n97768 100000\n62256 93392\n68891 100000\n46791 70137\n40484 60711\n50043 75011\n15301 23026\n85201 100000\n74538 100000\n50821 76189\n79846 100000\n43977 65960\n17226 25890\n54337 81442\n15004 22575\n65100 97644\n56448 84664\n46503 69711\n95372 100000\n64853 97263\n38559 57824\n93578 100000\n1745 2628\n90644 100000\n77996 100000\n30426 45641\n66128 99213\n20596 30951\n57615 86410\n24348 36540\n17047 25610\n58534 87801\n48612 72860\n73646 100000\n96434 100000\n20490 30796\n64621 96919\n87215 100000\n27593 41374\n18962 28513\n43272 64904\n19686 29600\n15290 23008\n60157 90257\n89291 100000\n82146 100000\n70013 100000\n89830 100000\n8581 12875\n63507 95243\n57233 85833\n10550 15826\n4895 7361\n28933 43402\n71433 100000\n11790 17699\n29423 44130\n84497 100000\n47707 71497\n57905 86840\n46424 69597\n43282 64922\n84182 100000\n1104 1667\n35699 53523\n363 560\n12063 18112\n82404 100000\n24988 37496\n12285 18437\n82219 100000\n13601 20441\n73865 100000\n74257 100000\n86860 100000\n83057 100000\n81876 100000\n11342 17026\n37902 56830\n13197 19823\n41589 62380\n5983 8992\n51147 76678\n42092 63133\n44928 67380\n84735 100000\n20138 30275\n36442 54641\n60982 91484\n74920 100000\n88628 100000\n33253 49866\n31344 47033\n18931 28469\n99900 100000\n71632 100000\n92277 100000\n49285 73867\n24432 36666\n34892 52340\n6438 9695\n36241 54333\n6285 9466\n7030 10572\n38346 57500\n1713 2579\n51842 77696\n1848 2783\n71889 100000\n51157 76693\n72879 100000\n50922 76342\n14418 21676\n71872 100000\n11317 16988\n78263 100000\n52663 78928\n45524 68277\n80156 100000\n46985 70423\n90879 100000\n97712 100000\n47945 71849\n95108 100000\n40011 59993\n73115 100000\n27048 40547\n87729 100000\n40388 60563\n57424 86129\n62514 93790\n90177 100000\n51930 77828\n39362 59017\n27371 41033\n64503 96736\n92316 100000\n93088 100000\n88259 100000\n21164 31808\n70741 100000\n23365 35065\n73227 100000\n96934 100000\n90259 100000\n24566 36857\n55016 82494\n78040 100000\n2850 4301\n76405 100000\n82215 100000\n12786 19185\n29315 43971\n84372 100000\n91679 100000\n15592 23460\n92862 100000\n49245 73805\n5039 7578\n65856 98793\n84214 100000\n83101 100000\n52158 78168\n32407 48621\n72087 100000\n54781 82130\n65414 98125\n68286 100000\n57836 86735\n25812 38727\n97848 100000\n31033 46581\n50453 75638\n50365 75506\n57695 86532\n97813 100000\n80854 100000\n3259 4915\n3585 5398\n57749 86611\n81202 100000\n62733 94112\n66242 99382\n58227 87330\n49751 74583\n89364 100000\n19698 29616\n26316 39483\n801 1218\n22279 33444\n47973 71893\n4039 6067\n89076 100000\n5876 8836\n41512 62265\n42816 64217\n37635 56434\n20639 31018\n46870 70251\n40997 61483\n17396 26148\n11118 16690\n46604 69862\n6342 9554\n60236 90364\n51148 76679\n67173 100000\n22920 34394\n46028 69019\n44606 66897\n3190 4813\n65077 97610\n44705 67048\n41893 62850\n95187 100000\n97053 100000\n29218 43817\n51411 77063\n45829 68726\n61380 92081\n34487 51722\n66177 99283\n18863 28370\n35055 52574\n32328 48499\n96461 100000\n27314 40947\n470 720\n71816 100000\n91291 100000\n41507 62258\n93264 100000\n36439 54636\n63475 95195\n37950 56907\n3631 5467\n38159 57222\n85550 100000\n58195 87283\n76317 100000\n7786 11699\n54780 82129\n70029 100000\n91488 100000\n12015 18034\n13468 20235\n72163 100000\n64888 97317\n55106 82636\n66104 99174\n8887 13333\n44773 67149\n12414 18629\n67452 100000\n72745 100000\n69595 100000\n91516 100000\n21421 32198\n98163 100000\n70247 100000\n82450 100000\n23609 35423\n7490 11255\n18582 27925\n63634 95430\n40437 60634\n72148 100000\n85237 100000\n68779 100000\n41854 62792\n69529 100000\n84019 100000\n41486 62227\n68134 100000\n36503 54730\n61093 91650\n2670 4021\n81044 100000\n13794 20732\n67801 100000\n33498 50230\n64631 96936\n50129 75139\n83961 100000\n63842 95736\n76911 100000\n56836 85241\n60565 90855\n94510 100000\n60874 91321\n28466 42694\n11414 17129\n26904 40339\n25428 38153\n16661 25054\n1555 2353\n76906 100000\n6131 9226\n5249 7893\n66851 100000\n49622 74378\n906 1376\n89000 100000\n17213 25869\n17217 25874\n64977 97458\n16299 24506\n69803 100000\n69676 100000\n37345 55992\n50589 75839\n66582 99884\n25036 37567\n11529 17305\n43154 64726\n35561 53318\n32367 48562\n61196 91803\n34731 52088\n31246 46891\n7157 10764\n31784 47691\n59344 89011\n23621 35438\n28414 42613\n75809 100000\n35184 52769\n50008 74960\n48571 72795\n66866 100000\n40230 60326\n4469 6726\n53074 79545\n80942 100000\n74004 100000\n40707 61038\n98864 100000\n15917 23934\n94559 100000\n24746 37128\n32305 48464\n69637 100000\n94436 100000\n43820 65724\n46135 69180\n17016 25567\n41960 62947\n46944 70364\n50056 75030\n67492 100000\n89199 100000\n21579 32430\n44124 66177\n79275 100000\n98043 100000\n678 1036\n70867 100000\n81655 100000\n89901 100000\n37518 56254\n49850 74735\n60494 90752\n99406 100000\n60551 90835\n31899 47861\n8602 12906\n64140 96198\n57043 85550\n48070 72032\n13643 20503\n46778 70120\n6390 9630\n37280 55900\n91287 100000\n70472 100000\n9483 14224\n9573 14363\n68835 100000\n1511 2288\n68187 100000\n40811 61210\n35347 53000\n55651 83463\n24979 37481\n60426 90654\n22446 33690\n6812 10238\n58766 88145\n86370 100000\n49978 74919\n11227 16846\n580 892\n34567 51842\n47188 70734\n77648 100000\n37357 56011\n28180 42257\n85552 100000\n74245 100000\n12657 18996\n70243 100000\n31546 47332\n369 566\n27498 41238\n24409 36631\n72174 100000\n84159 100000\n97346 100000\n96140 100000\n56000 83984\n15632 23522\n92523 100000\n6567 9877\n1414 2139\n80888 100000\n21360 32104\n6204 9342\n75131 100000\n16367 24608\n19012 28589\n82453 100000\n65 100\n33730 50579\n17202 25855\n62592 93901\n79755 100000\n94431 100000\n15414 23193\n99275 100000\n64633 96939\n156 238\n8692 13042\n74156 100000\n75539 100000\n29587 44363\n39865 59772\n71843 100000\n35198 52788\n85595 100000\n86035 100000\n67929 100000\n70826 100000\n68419 100000\n88493 100000\n19472 29280\n90971 100000\n10686 16022\n78417 100000\n32149 48236\n18129 27235\n2656 4000\n49842 74724\n26277 39423\n39157 58691\n12535 18806\n9090 13625\n39279 58889\n35612 53392\n2302 3460\n59273 88907\n6515 9804\n98029 100000\n11158 16744\n77553 100000\n69693 100000\n21872 32861\n15486 23304\n21540 32373\n72049 100000\n96382 100000\n86156 100000\n46880 70266\n71176 100000\n27859 41785\n67828 100000\n55515 83256\n65585 98381\n9805 14715\n65177 97757\n83343 100000\n179 273\n89690 100000\n40164 60227\n11787 17696\n77930 100000\n99498 100000\n16224 24392\n35378 53049\n41380 62068\n96716 100000\n11920 17893\n87524 100000\n41637 62454\n88581 100000\n25772 38662\n67179 100000\n77094 100000\n91370 100000\n37558 56311\n65732 98605\n90384 100000\n60438 90675\n96585 100000\n65793 98700\n96167 100000\n20651 31034\n2830 4270\n67371 100000\n38969 58418\n84060 100000\n66026 99054\n37913 56848\n15626 23514\n70526 100000\n85780 100000\n38152 57210\n94020 100000\n21786 32728\n56014 84008\n11137 16715\n36544 54789\n35819 53702\n78084 100000\n48802 73145\n88264 100000\n77302 100000\n80648 100000\n95117 100000\n71959 100000\n80732 100000\n53733 80530\n70626 100000\n71885 100000\n19605 29479\n63510 95248\n65882 98836\n30690 46052\n79337 100000\n80213 100000\n29473 44202\n40595 60877\n7609 11434\n80613 100000\n66610 99926\n63785 95649\n30703 46072\n41853 62790\n47140 70662\n30536 45815\n27925 41883\n46822 70181\n74433 100000\n98453 100000\n63079 94631\n49934 74853\n71097 100000\n56149 84207\n19017 28596\n29843 44751\n48484 72661\n57451 86172\n66717 100000\n71810 100000\n2672 4024\n48601 72843\n77967 100000\n15990 24041\n18211 27362\n13043 19583\n2571 3876\n67161 100000\n24078 36131\n5631 8465\n37430 56120\n32908 49357\n93030 100000\n94673 100000\n5526 8303\n44282 66414\n22719 34098\n20562 30894\n12255 18397\n21650 32525\n2008 3019\n21496 32312\n57318 85969\n57733 86587\n21856 32837\n26074 39121\n28795 43191\n42325 63485\n87506 100000\n81390 100000\n74719 100000\n77348 100000\n27784 41669\n35681 53496\n73106 100000\n47382 71023\n16871 25358\n47435 71093\n80346 100000\n24331 36515\n71949 100000\n18449 27714\n89086 100000\n39449 59147\n88536 100000\n66875 100000\n17599 26441\n59963 89970\n45697 68535\n49659 74441\n34309 51444\n68005 100000\n58465 87703\n93843 100000\n89121 100000\n26370 39563\n23856 35795\n46984 70422\n61964 92959\n24890 37344\n42839 64252\n62202 93310\n96663 100000\n47971 71889\n99856 100000\n79497 100000\n75630 100000\n50674 75969\n17592 26431\n50 78\n17983 27016\n30340 45498\n91779 100000\n15894 23901\n68829 100000\n97871 100000\n13029 19565\n62878 94332\n68408 100000\n34864 52296\n95841 100000\n70502 100000\n6112 9195\n69074 100000\n46351 69492\n14192 21340\n11256 16890\n76999 100000\n20861 31355\n56537 84797\n89933 100000\n44730 67085\n62976 94473\n63504 95239\n26786 40172\n71785 100000\n43883 65812\n37499 56224\n45720 68568\n46159 69213\n7431 11164\n32532 48803\n1801 2711\n52193 78223\n61881 92834\n41920 62889\n7838 11773\n50638 75916\n35544 53294\n3243 4893\n83575 100000\n32097 48160\n36350 54506\n72848 100000\n90813 100000\n28865 43299\n95491 100000\n18924 28458\n76272 100000\n77732 100000\n93257 100000\n95954 100000\n28431 42639\n61294 91948\n31217 46855\n19085 28696\n23068 34620\n13490 20267\n15978 24020\n79311 100000\n32035 48065\n52275 78342\n46591 69843\n46241 69330\n17530 26343\n81825 100000\n88569 100000\n54326 81425\n59087 88622\n24736 37111\n96333 100000\n89934 100000\n4261 6412\n18691 28099\n96332 100000\n49988 74933\n8299 12457\n95221 100000\n63913 95849\n96064 100000\n50992 76442\n35004 52504\n88933 100000\n34390 51574\n31816 47737\n98691 100000\n78368 100000\n7685 11548\n23898 35860\n90004 100000\n26952 40406\n25429 38155\n40934 61390\n25268 37918\n59650 89492\n76659 100000\n46959 70387\n5311 7986\n24915 37382\n66224 99356\n16668 25065\n93659 100000\n94263 100000\n42901 64341\n63169 94754\n68824 100000\n44968 67434\n93707 100000\n17230 25897\n54292 81374\n6179 9303\n96379 100000\n21681 32568\n43467 65208\n67311 100000\n69502 100000\n46708 70014\n35114 52662\n89167 100000\n69219 100000\n41408 62108\n82070 100000\n47208 70764\n91800 100000\n97077 100000\n95353 100000\n53326 79938\n27961 41939\n11169 16761\n71768 100000\n50421 75590\n75861 100000\n81917 100000\n80922 100000\n15655 23552\n42917 64366\n98824 100000\n37058 55564\n77969 100000\n42403 63602\n17642 26504\n66585 99889\n66416 99639\n83738 100000\n26175 39270\n40245 60348\n1808 2721\n89360 100000\n35707 53534\n17543 26361\n39078 58577\n18899 28422\n53703 80487\n13522 20319\n1280 1940\n50835 76209\n29727 44573\n22199 33338\n69600 100000\n69701 100000\n32838 49256\n39955 59905\n55315 82954\n71999 100000\n95379 100000\n27640 41444\n48373 72490\n5270 7922\n93775 100000\n77128 100000\n67481 100000\n22827 34256\n27304 40935\n81882 100000\n87020 100000\n93927 100000\n98814 100000\n36034 54023\n48024 71967\n64219 96319\n8397 12605\n57745 86606\n82383 100000\n18440 27701\n14455 21734\n18357 27578\n2405 3614\n22646 33995\n5028 7560\n60666 91005\n55448 83148\n34108 51142\n7588 11406\n13992 21034\n95927 100000\n72411 100000\n20686 31089\n70294 100000\n89900 100000\n66982 100000\n42384 63572\n24997 37510\n62135 93199\n59476 89219\n61434 92156\n64490 96717\n47642 71399\n14905 22420\n30404 45606\n48707 73006\n17255 25936\n11560 17351\n19444 29234\n25893 38847\n71047 100000\n64942 97407\n4708 7086\n58618 87919\n44368 66542\n78581 100000\n23790 35694\n46538 69766\n65589 98387\n79423 100000\n11315 16984\n89707 100000\n3223 4865\n27960 41937\n50135 75148\n30637 45974\n11464 17207\n66835 100000\n30032 45035\n48907 73307\n25117 37697\n27966 41945\n76264 100000\n85129 100000\n82531 100000\n80563 100000\n50809 76171\n34536 51795\n26477 39720\n13116 19696\n97387 100000\n8423 12643\n32347 48531\n86123 100000\n35396 53078\n84838 100000\n58191 87277\n86296 100000\n13908 20908\n43338 65011\n76962 100000\n54870 82266\n84823 100000\n97264 100000\n55908 83844\n51262 76848\n20854 31345\n87670 100000\n29753 44611\n53451 80118\n50789 76141\n93106 100000\n66840 100000\n80596 100000\n80838 100000\n67321 100000\n23579 35380\n24067 36115\n98807 100000\n99880 100000\n23577 35377\n93207 100000\n47467 71137\n39068 58565\n91080 100000\n82817 100000\n59580 89381\n8232 12361\n83149 100000\n28924 43387\n58058 87075\n75955 100000\n24345 36535\n17470 26256\n59836 89777\n21611 32471\n85444 100000\n67355 100000\n54554 81783\n8107 12172\n66088 99149\n5015 7541\n51588 77311\n75624 100000\n22588 33906\n30693 46057\n33583 50359\n29546 44307\n29900 44836\n16735 25162\n89044 100000\n21394 32155\n85069 100000\n24016 36042\n6830 10267\n71374 100000\n97596 100000\n30523 45794\n2872 4333\n69786 100000\n53783 80603\n40618 60909\n61314 91979\n43138 64704\n19535 29371\n7583 11398\n34074 51092\n92072 100000\n34165 51231\n89561 100000\n79488 100000\n65018 97515\n50442 75619\n64918 97365\n60532 90807\n37311 55944\n75132 100000\n250 384\n68343 100000\n33352 50009\n20561 30892\n70458 100000\n80059 100000\n67607 100000\n31270 46924\n83405 100000\n4212 6340\n41734 62603\n7781 11690\n13429 20174\n38304 57442\n34422 51620\n89748 100000\n36366 54529\n88993 100000\n27996 41984\n99281 100000\n53447 80112\n17718 26619\n34712 52061\n65781 98682\n92939 100000\n60958 91451\n23916 35886\n3005 4538\n33302 49936\n77515 100000\n73180 100000\n91269 100000\n75395 100000\n72638 100000\n73188 100000\n5691 8553\n87052 100000\n1089 1645\n28290 42427\n90404 100000\n72676 100000\n70075 100000\n13276 19933\n45958 68912\n38644 57945\n28449 42667\n16820 25285\n40566 60834\n18369 27596\n40133 60178\n89162 100000\n75665 100000\n27288 40909\n67834 100000\n6004 9026\n98365 100000\n16331 24554\n54782 82131\n27855 41778\n65141 97703\n60031 90070\n21398 32159\n68674 100000\n23900 35863\n19723 29654\n33683 50507\n61247 91874\n68309 100000\n42948 64413\n31931 47905\n39318 58950\n75685 100000\n28719 43073\n67282 100000\n15922 23940\n17523 26330\n56164 84231\n71564 100000\n92359 100000\n97460 100000\n59939 89931\n45174 67755\n51885 77761\n54219 81263\n24707 37068\n36358 54517\n36818 55217\n16399 24655\n79977 100000\n32430 48657\n16126 24244\n58442 87668\n95082 100000\n5599 8418\n40903 61342\n81777 100000\n13561 20373\n91793 100000\n71110 100000\n79375 100000\n35657 53461\n2601 3922\n88901 100000\n51045 76525\n83203 100000\n17313 26026\n14344 21568\n56492 84730\n48640 72904\n7886 11846\n33064 49585\n64900 97337\n10978 16469\n5563 8361\n71019 100000\n44253 66370\n72696 100000\n90530 100000\n59352 89025\n3858 5806\n29501 44244\n69521 100000\n32350 48537\n19868 29871\n1748 2632\n38687 58013\n22856 34298\n44959 67423\n45094 67633\n55052 82553\n55883 83805\n35214 52809\n47748 71558\n73797 100000\n58985 88469\n79431 100000\n63738 95576\n59415 89118\n47231 70796\n30174 45252\n21689 32578\n61877 92828\n17652 26520\n70591 100000\n80350 100000\n11894 17857\n87374 100000\n40791 61179\n54366 81490\n83613 100000\n5797 8713\n11685 17542\n1516 2295\n6156 9264\n31346 47037\n81034 100000\n7387 11104\n83147 100000\n97465 100000\n14724 22152\n77037 100000\n90601 100000\n31678 47532\n8831 13252\n81326 100000\n25901 38861\n91144 100000\n13918 20925\n55960 83924\n87856 100000\n70497 100000\n24102 36173\n61895 92853\n70618 100000\n48293 72368\n90797 100000\n50847 76227\n60487 90743\n27634 41435\n55785 83670\n29613 44402\n10778 16164\n11104 16668\n38890 58307\n32260 48402\n18112 27211\n70899 100000\n5932 8914\n70295 100000\n21833 32801\n44670 66989\n21716 32622\n49068 73545\n78190 100000\n52007 77946\n20559 30890\n21615 32476\n74202 100000\n47627 71378\n24239 36370\n64814 97210\n20081 30186\n11366 17055\n30628 45959\n96313 100000\n81597 100000\n34754 52126\n70402 100000\n43592 65388\n61734 92600\n54162 81180\n67180 100000\n22882 34338\n1719 2588\n79134 100000\n90834 100000\n20567 30903\n25866 38805\n82800 100000\n96466 100000\n89292 100000\n25369 38063\n91983 100000\n98217 100000\n10673 16004\n53987 80918\n39292 58910\n49889 74791\n41064 61589\n75601 100000\n33945 50903\n20113 30236\n39247 58842\n64344 96504\n29593 44374\n71159 100000\n67398 100000\n44826 67224\n34804 52202\n18867 28375\n41065 61590\n37140 55685\n14411 21665\n97061 100000\n95368 100000\n58913 88360\n90945 100000\n7095 10670\n22896 34359\n34401 51590\n47856 71711\n84899 100000\n67606 100000\n71300 100000\n64032 96031\n60507 90769\n1047 1581\n29284 43920\n78235 100000\n35769 53624\n18510 27811\n8902 13357\n47326 70940\n46182 69246\n91130 100000\n2514 3787\n61117 91683\n45608 68405\n53938 80846\n29206 43796\n69900 100000\n58081 87111\n650 992\n65712 98573\n19755 29702\n23388 35097\n9941 14925\n85839 100000\n53394 80036\n71160 100000\n11953 17940\n95673 100000\n72488 100000\n66624 99948\n80898 100000\n73474 100000\n59769 89680\n82048 100000\n17415 26174\n84974 100000\n65443 98165\n97003 100000\n56331 84486\n27609 41401\n79658 100000\n88070 100000\n5366 8071\n70217 100000\n13686 20571\n28136 42192\n40374 60541\n93771 100000\n30833 46271\n44835 67238\n36046 54040\n84512 100000\n95943 100000\n24003 36023\n7443 11183\n34446 51658\n45894 68821\n95695 100000\n8514 12771\n8791 13189\n85463 100000\n34728 52084\n59857 89810\n75077 100000\n60668 91008\n52603 78837\n25131 37716\n38855 58258\n52618 78858\n65578 98369\n78958 100000\n15074 22684\n68320 100000\n17914 26914\n70622 100000\n64203 96294\n66397 99613\n90610 100000\n67091 100000\n69562 100000\n58881 88313\n3650 5498\n24998 37511\n57523 86277\n9487 14230\n20142 30282\n18747 28190\n15612 23489\n60323 90500\n84158 100000\n80849 100000\n98395 100000\n54696 81998\n69779 100000\n18359 27580\n40762 61130\n95709 100000\n79104 100000\n404 620\n81723 100000\n56839 85245\n25820 38739\n98804 100000\n74881 100000\n61597 92398\n28038 42050\n15679 23588\n83793 100000\n56579 84861\n38199 57283\n67515 100000\n7892 11856\n13128 19712\n37949 56906\n92676 100000\n69154 100000\n26730 40086\n49687 74480\n43829 65736\n49471 74145\n7235 10879\n71797 100000\n79900 100000\n49587 74327\n50126 75134\n50424 75594\n90181 100000\n48285 72358\n13578 20401\n21993 33033\n41923 62893\n21995 33035\n5016 7542\n84916 100000\n18029 27087\n52210 78248\n42692 64025\n96369 100000\n6589 9911\n459 703\n9442 14160\n57927 86873\n74311 100000\n36706 55038\n99466 100000\n55667 83486\n24846 37282\n89492 100000\n35578 53344\n53070 79540\n921 1400\n52770 79084\n97286 100000\n20469 30763\n61098 91656\n78615 100000\n6216 9360\n14963 22507\n50370 75515\n2675 4029\n29976 44952\n72901 100000\n96101 100000\n65594 98394\n71334 100000\n76265 100000\n90858 100000\n80228 100000\n13432 20180\n52196 78226\n81654 100000\n14125 21241\n82943 100000\n37444 56141\n99594 100000\n1142 1726\n68107 100000\n8385 12588\n59913 89893\n95058 100000\n13638 20494\n29564 44331\n8852 13283\n96685 100000\n42355 63529\n54673 81963\n7695 11562\n92551 100000\n64986 97474\n90946 100000\n14855 22348\n81944 100000\n69646 100000\n10077 15124\n80992 100000\n87748 100000\n1896 2855\n81269 100000\n87182 100000\n44588 66870\n62864 94312\n84056 100000\n30099 45134\n62175 93264\n28835 43251\n21455 32250\n33912 50855\n98154 100000\n12191 18303\n55066 82574\n7383 11099\n22299 33475\n2253 3383\n99216 100000\n56236 84342\n90947 100000\n14837 22322\n79001 100000\n18890 28408\n69707 100000\n26732 40089\n13555 20365\n5760 8652\n16335 24559\n6974 10486\n84312 100000\n69841 100000\n70006 100000\n59801 89724\n52919 79311\n74075 100000\n970 1473\n55275 82890\n84513 100000\n88435 100000\n60011 90040\n21550 32389\n67251 100000\n78241 100000\n59131 88689\n31982 47986\n13868 20849\n6470 9736\n20738 31168\n10642 15962\n38960 58407\n85342 100000\n33282 49906\n8642 12967\n59164 88742\n91905 100000\n72402 100000\n82240 100000\n82906 100000\n37224 55813\n70864 100000\n28887 43330\n97193 100000\n58850 88266\n61177 91777\n90554 100000\n53324 79935\n14849 22340\n24619 36930\n23840 35770\n24626 36944\n28825 43238\n45490 68229\n59700 89570\n5978 8987\n86649 100000\n30153 45222\n44685 67014\n37236 55832\n13970 21004\n49253 73817\n81865 100000\n60316 90487\n14357 21587\n12253 18394\n61413 92125\n55723 83573\n59136 88697\n24916 37384\n51374 77010\n72391 100000\n9220 13828\n10647 15970\n39525 59262\n22776 34180\n94663 100000\n92728 100000\n82114 100000\n54074 81045\n41339 62006\n76427 100000\n8940 13411\n31045 46598\n85686 100000\n7850 11794\n97389 100000\n24489 36748\n3389 5117\n35885 53803\n62897 94357\n54194 81225\n44944 67402\n18699 28114\n35724 53557\n13663 20534\n30055 45066\n55269 82881\n35915 53849\n64862 97278\n73039 100000\n60996 91507\n80382 100000\n43877 65804\n95939 100000\n92334 100000\n12872 19318\n89172 100000\n53214 79764\n12639 18965\n10057 15093\n92519 100000\n31507 47271\n80635 100000\n95581 100000\n47612 71354\n85779 100000\n54484 81679\n65303 97950\n22916 34388\n56305 84450\n57274 85900\n43321 64983\n99871 100000\n88825 100000\n77185 100000\n56890 85315\n87802 100000\n81038 100000\n94838 100000\n36131 54165\n28157 42222\n99398 100000\n5816 8742\n9327 13995\n92726 100000\n5707 8578\n10965 16448\n9387 14082\n26911 40349\n16451 24735\n43776 65660\n65860 98799\n81621 100000\n1910 2873\n30698 46065\n5136 7728\n22290 33462\n68486 100000\n15412 23191\n84834 100000\n10276 15427\n52938 79341\n85090 100000\n7422 11153\n61625 92438\n94492 100000\n71193 100000\n19729 29663\n79800 100000\n4315 6495\n39920 59852\n12942 19427\n27605 41393\n70652 100000\n69173 100000\n44136 66200\n46110 69141\n84627 100000\n82442 100000\n65454 98179\n23124 34705\n7420 11150\n11891 17851\n76560 100000\n64434 96637\n85811 100000\n27805 41703\n88270 100000\n73119 100000\n13779 20713\n91510 100000\n26077 39126\n29770 44639\n67383 100000\n31746 47636\n63826 95713\n68396 100000\n28498 42744\n78531 100000\n42292 63438\n51483 77159\n93902 100000\n53696 80476\n51515 77204\n94660 100000\n62020 93038\n22490 33759\n99671 100000\n11038 16564\n75569 100000\n8925 13391\n97447 100000\n90901 100000\n77301 100000\n10032 15055\n90090 100000\n84443 100000\n52188 78216\n56805 85192\n85534 100000\n73365 100000\n35314 52955\n88934 100000\n64902 97340\n83789 100000\n31945 47928\n26962 40421\n54531 81749\n87063 100000\n88229 100000\n45623 68426\n654 998\n43023 64522\n41651 62474\n53609 80351\n97121 100000\n28683 43020\n49277 73852\n67491 100000\n98806 100000\n61473 92216\n23246 34883\n39375 59035\n46819 70178\n2010 3023\n46583 69829\n33189 49770\n72619 100000\n37717 56551\n77077 100000\n92715 100000\n91533 100000\n40657 60969\n26656 39990\n93245 100000\n77381 100000\n63947 95893\n8333 12510\n92842 100000\n27666 41483\n98588 100000\n37812 56700\n95217 100000\n84469 100000\n18995 28564\n14627 21996\n19245 28932\n41656 62482\n92832 100000\n51632 77374\n33499 50231\n76120 100000\n31914 47882\n22197 33336\n6887 10352\n62783 94191\n11048 16578\n40110 60141\n26494 39744\n92923 100000\n31000 46532\n31388 47096\n9297 13948\n31775 47677\n49931 74850\n49946 74869\n72620 100000\n24320 36498\n95274 100000\n49598 74344\n80840 100000\n27436 41140\n8528 12793\n3407 5143\n36239 54329\n33254 49868\n59009 88505\n29655 44466\n42257 63388\n21654 32530\n7152 10757\n89583 100000\n99137 100000\n61256 91887\n89927 100000\n49434 74089\n13227 19866\n36629 54925\n25459 38200\n15886 23889\n13597 20434\n34193 51271\n37485 56205\n98550 100000\n33648 50458\n4912 7388\n6611 9944\n27330 40969\n57757 86623\n74889 100000\n20582 30925\n39407 59080\n85885 100000\n39524 59261\n67414 100000\n58422 87635\n22245 33397\n59032 88540\n63602 95383\n43492 65242\n72668 100000\n18248 27417\n97106 100000\n51478 77152\n58581 87863\n70092 100000\n95482 100000\n21621 32484\n30294 45430\n83708 100000\n96541 100000\n41798 62703\n51606 77340\n42769 64146\n69547 100000\n70603 100000\n4407 6635\n27238 40834\n48795 73135\n64594 96877\n11185 16783\n84724 100000\n3622 5452\n89283 100000\n81252 100000\n27487 41222\n64831 97231\n39223 58800\n3416 5154\n4927 7412\n72984 100000\n25393 38099\n82371 100000\n65346 98021\n47019 70479\n52577 78796\n13698 20591\n24216 36339\n2258 3392\n85098 100000\n75837 100000\n47214 70773\n87265 100000\n36172 54225\n46741 70065\n92154 100000\n84660 100000\n7199 10825\n32028 48056\n22941 34425\n14649 22032\n21301 32018\n29202 43790\n78198 100000\n51666 77426\n74290 100000\n95590 100000\n55493 83221\n66491 99753\n96220 100000\n29170 43745\n43791 65680\n89911 100000\n29762 44625\n57550 86316\n79864 100000\n89414 100000\n76244 100000\n31792 47702\n38877 58290\n18410 27658\n52428 78576\n70799 100000\n39554 59309\n9010 13510\n68468 100000\n43015 64511\n79396 100000\n65174 97751\n46801 70150\n90021 100000\n67855 100000\n48324 72414\n89795 100000\n5406 8123\n47868 71729\n42440 63657\n62094 93142\n50075 75055\n56855 85267\n2522 3800\n2847 4297\n30519 45786\n10732 16096\n65200 97790\n4696 7067\n83863 100000\n58698 88038\n41970 62960\n45144 67708\n87702 100000\n5887 8851\n52654 78913\n18215 27369\n80383 100000\n9068 13595\n13826 20784\n20524 30841\n76296 100000\n15383 23146\n87580 100000\n17069 25644\n21692 32583\n94518 100000\n84740 100000\n16373 24617\n43763 65642\n86782 100000\n77792 100000\n17330 26052\n32584 48873\n11467 17212\n17895 26884\n76511 100000\n50909 76324\n3895 5861\n99855 100000\n386 592\n29414 44119\n42243 63369\n62395 93611\n5417 8141\n2978 4496\n21838 32808\n79221 100000\n69929 100000\n27214 40795\n9217 13823\n80711 100000\n6024 9054\n7177 10792\n20028 30111\n91435 100000\n19986 30049\n24449 36690\n71690 100000\n83921 100000\n81953 100000\n79618 100000\n60123 90209\n32803 49204\n25399 38109\n36060 54060\n16672 25070\n29677 44500\n62639 93973\n53205 79749\n23045 34583\n66239 99378\n92670 100000\n80682 100000\n72104 100000\n2263 3401\n34254 51361\n29849 44759\n89699 100000\n44227 66331\n20291 30501\n3890 5853\n1966 2958\n17733 26641\n96861 100000\n61865 92809\n66335 99519\n35061 52584\n75278 100000\n96769 100000\n27844 41763\n63518 95259\n93562 100000\n83942 100000\n28413 42611\n64048 96055\n41423 62133\n94847 100000\n69208 100000\n73748 100000\n93688 100000\n77617 100000\n38303 57441\n9992 14998\n59213 88815\n6972 10483\n76179 100000\n51049 76530\n65429 98147\n27745 41609\n50924 76344\n48977 73409\n75373 100000\n4297 6468\n77107 100000\n62721 94095\n22194 33332\n4737 7132\n12154 18244\n77116 100000\n73213 100000\n47829 71672\n52527 78721\n61191 91795\n6472 9738\n5827 8761\n15601 23474\n54837 82218\n92444 100000\n88374 100000\n97734 100000\n14095 21198\n32569 48856\n57931 86878\n83876 100000\n99874 100000\n51610 77346\n47197 70748\n38596 57874\n2579 3890\n22545 33837\n41002 61492\n89768 100000\n91994 100000\n36337 54483\n83119 100000\n17497 26293\n43330 64999\n130 201\n49526 74234\n46331 69467\n62070 93110\n83274 100000\n84943 100000\n2176 3270\n56201 84287\n94320 100000\n55030 82519\n75262 100000\n40684 61005\n51597 77326\n89691 100000\n62405 93624\n32360 48551\n61683 92525\n47599 71334\n27209 40786\n34931 52393\n97382 100000\n50818 76184\n73695 100000\n26702 40049\n11496 17253\n54664 81950\n64423 96620\n81826 100000\n94991 100000\n40085 60105\n31319 46996\n32579 48867\n82885 100000\n38585 57860\n50490 75694\n16177 24320\n93719 100000\n1035 1562\n35808 53687\n46874 70258\n27723 41574\n79815 100000\n42572 63852\n50094 75085\n24153 36246\n79661 100000\n20774 31224\n71426 100000\n70541 100000\n90084 100000\n95460 100000\n68653 100000\n30492 45742\n92772 100000\n15421 23206\n24357 36555\n98798 100000\n9235 13853\n70421 100000\n59815 89748\n84002 100000\n97955 100000\n82328 100000\n87053 100000\n67469 100000\n11839 17771\n74531 100000\n9497 14247\n72458 100000\n63433 95136\n48452 72609\n78509 100000\n30995 46526\n96265 100000\n99691 100000\n5520 8294\n42389 63580\n78497 100000\n92945 100000\n24818 37239\n38861 58268\n42711 64054\n44452 66665\n4602 6928\n39893 59813\n43865 65787\n13829 20787\n17823 26781\n70178 100000\n59137 88699\n69686 100000\n72910 100000\n96522 100000\n12591 18891\n7405 11126\n51782 77604\n13897 20890\n79499 100000\n56888 85312\n34720 52072\n89706 100000\n38170 57241\n57101 85633\n88175 100000\n9261 13892\n51882 77758\n37723 56561\n50106 75104\n47107 70608\n19101 28717\n72440 100000\n8690 13039\n8310 12472\n18844 28337\n60595 90900\n81551 100000\n11266 16907\n24172 36274\n78588 100000\n81365 100000\n46172 69233\n88029 100000\n12571 18863\n87550 100000\n26014 39029\n29920 44868\n98497 100000\n20112 30235\n93654 100000\n57718 86567\n44302 66443\n59248 88869\n74838 100000\n18566 27903\n91691 100000\n6932 10416\n46982 70420\n51673 77440\n22188 33323\n85732 100000\n77981 100000\n76660 100000\n61397 92103\n98448 100000\n83065 100000\n71746 100000\n74103 100000\n40817 61219\n6716 10103\n95767 100000\n32776 49162\n71613 100000\n22179 33309\n15081 22694\n72529 100000\n79205 100000\n45021 67518\n2034 3056\n91709 100000\n78530 100000\n9073 13601\n21427 32207\n55328 82969\n21369 32117\n37209 55789\n50967 76405\n11951 17937\n74203 100000\n99574 100000\n86558 100000\n22335 33526\n3733 5624\n99293 100000\n70587 100000\n82293 100000\n36078 54087\n27589 41368\n52999 79431\n96098 100000\n6874 10331\n57614 86409\n7160 10767\n40917 61364\n13077 19637\n97181 100000\n19260 28953\n87871 100000\n10791 16185\n94319 100000\n17567 26398\n81762 100000\n77752 100000\n47574 71295\n93110 100000\n11916 17888\n46131 69173\n60651 90982\n67377 100000\n59775 89688\n14166 21301\n52689 78965\n27186 40754\n62650 93988\n47349 70976\n17804 26754\n23191 34804\n7848 11790\n45074 67605\n2480 3733\n72195 100000\n41168 61745\n21048 31641\n77946 100000\n55882 83804\n73665 100000\n9986 14986\n42950 64416\n54176 81199\n1624 2449\n82517 100000\n87669 100000\n29699 44532\n80471 100000\n66387 99598\n13068 19621\n61698 92546\n23587 35393\n27378 41045\n62875 94327\n17926 26934\n62008 93023\n56838 85243\n12740 19120\n27711 41553\n40802 61195\n96309 100000\n34856 52284\n75811 100000\n55271 82885\n79027 100000\n63414 95104\n83030 100000\n5428 8158\n45557 68331\n83038 100000\n71644 100000\n70348 100000\n19578 29437\n61493 92244\n81419 100000\n57108 85643\n62376 93581\n66488 99750\n77251 100000\n81288 100000\n36828 55228\n97990 100000\n89204 100000\n91830 100000\n62391 93606\n6336 9546\n80567 100000\n84455 100000\n94 147\n73533 100000\n12194 18308\n34362 51531\n44170 66245\n14602 21953\n18347 27564\n27907 41855\n34340 51490\n21974 33004\n24198 36312\n73577 100000\n36412 54597\n49128 73636\n6688 10060\n29911 44852\n51423 77080\n58212 87309\n46786 70131\n43405 65110\n55345 82994\n96364 100000\n42854 64273\n21000 31570\n44829 67228\n8599 12900\n61728 92590\n1005 1524\n31177 46793\n30035 45038\n98995 100000\n54653 81930\n85052 100000\n41858 62798\n75068 100000\n8186 12291\n47917 71805\n91990 100000\n78286 100000\n66869 100000\n81823 100000\n75943 100000\n69922 100000\n71654 100000\n44285 66418\n54901 82310\n20290 30500\n34183 51258\n30714 46089\n56660 84979\n33431 50131\n90011 100000\n34619 51919\n1615 2435\n97589 100000\n76695 100000\n89890 100000\n44836 67239\n70791 100000\n96759 100000\n91122 100000\n27502 41244\n28465 42693\n66453 99698\n57334 85994\n19932 29968\n71699 100000\n22544 33835\n45825 68719\n32750 49127\n79137 100000\n13949 20972\n17110 25705\n32927 49388\n13407 20137\n30168 45243\n26157 39244\n56015 84009\n91148 100000\n13411 20144\n99245 100000\n11635 17464\n45591 68382\n73583 100000\n18273 27452\n55906 83840\n25759 38639\n99347 100000\n6949 10445\n17410 26168\n43789 65677\n54369 81496\n90803 100000\n87870 100000\n50068 75045\n44945 67403\n44273 66401\n2805 4231\n45226 67833\n22498 33771\n27154 40709\n53475 80151\n92833 100000\n94688 100000\n81676 100000\n54715 82026\n54069 81038\n12479 18725\n65729 98600\n62163 93245\n72318 100000\n45258 67882\n91759 100000\n17619 26472\n96886 100000\n2227 3347\n99150 100000\n71662 100000\n6666 10026\n41593 62386\n95365 100000\n36421 54609\n66627 99952\n33312 49950\n79000 100000\n81317 100000\n13016 19545\n14877 22379\n75742 100000\n76564 100000\n93132 100000\n50241 75312\n33110 49653\n28849 43275\n84693 100000\n35579 53345\n47986 71914\n97535 100000\n93121 100000\n93973 100000\n61142 91719\n37348 55996\n45251 67873\n49782 74631\n54444 81619\n41638 62455\n61564 92348\n13094 19664\n52301 78385\n97364 100000\n70510 100000\n20763 31207\n1295 1962\n43277 64913\n80678 100000\n67522 100000\n32311 48473\n63950 95897\n62894 94353\n59555 89340\n64073 96092\n87594 100000\n56198 84283\n51208 76772\n52059 78029\n41543 62313\n15653 23550\n74351 100000\n7400 11119\n27720 41568\n66561 99853\n15716 23640\n43288 64933\n39471 59177\n94931 100000\n77380 100000\n69519 100000\n71424 100000\n14322 21532\n53004 79438\n91207 100000\n60803 91212\n64121 96166\n23812 35726\n55068 82577\n37420 56106\n32609 48911\n69810 100000\n42718 64065\n89384 100000\n1093 1650\n39209 58778\n53080 79555\n83764 100000\n96197 100000\n58306 87460\n30580 45883\n80177 100000\n56066 84082\n70964 100000\n55456 83162\n45343 68010\n78627 100000\n64550 96811\n9698 14552\n25723 38585\n78681 100000\n57422 86126\n70427 100000\n87725 100000\n24842 37276\n6168 9286\n73878 100000\n98823 100000\n52363 78476\n4559 6862\n15932 23954\n43988 65977\n62624 93950\n13058 19606\n20009 30085\n55793 83680\n94198 100000\n18346 27562\n44823 67220\n41789 62689\n38526 57777\n46024 69013\n56434 84645\n60764 91157\n67416 100000\n58029 87028\n9323 13990\n19327 29053\n79148 100000\n1626 2451\n44294 66429\n51098 76604\n11700 17567\n16452 24737\n86981 100000\n26050 39084\n48975 73406\n55715 83560\n63016 94534\n33416 50108\n18783 28242\n94601 100000\n79807 100000\n68131 100000\n38978 58433\n21047 31640\n75603 100000\n38853 58256\n56265 84388\n71238 100000\n80860 100000\n74775 100000\n18462 27735\n84951 100000\n59993 90015\n47300 70901\n19672 29577\n57752 86614\n23572 35370\n32765 49147\n95553 100000\n3537 5331\n20424 30697\n72202 100000\n22895 34357\n57095 85624\n1442 2184\n96498 100000\n96726 100000\n18584 27928\n45452 68166\n86229 100000\n10875 16316\n78441 100000\n92089 100000\n39543 59291\n19753 29700\n36436 54631\n61151 91733\n75060 100000\n63760 95607\n281 430\n94639 100000\n90869 100000\n51541 77244\n55684 83513\n36044 54037\n35041 52556\n29105 43645\n41475 62209\n53405 80050\n38084 57108\n79521 100000\n46838 70205\n94916 100000\n65514 98271\n44684 67013\n68703 100000\n53613 80356\n74857 100000\n80499 100000\n54180 81206\n34713 52062\n65207 97802\n72852 100000\n20361 30610\n5579 8388\n28310 42457\n81320 100000\n32618 48924\n37366 56024\n69484 100000\n22450 33697\n66996 100000\n9602 14409\n46808 70161\n22355 33554\n58248 87365\n55208 82791\n27370 41031\n33433 50134\n93176 100000\n9570 14359\n22720 34099\n37694 56521\n89763 100000\n47213 70772\n65859 98798\n52800 79131\n84667 100000\n72395 100000\n59000 88491\n39782 59650\n22824 34253\n12987 19497\n6865 10318\n46391 69549\n67569 100000\n38097 57129\n23627 35446\n60146 90242\n56702 85041\n39002 58468\n1677 2528\n8219 12343\n16165 24303\n84498 100000\n12456 18691\n16632 25011\n45297 67944\n64401 96589\n85715 100000\n85865 100000\n18221 27379\n40563 60828\n85445 100000\n72936 100000\n5628 8461\n1206 1826\n43578 65369\n76728 100000\n40468 60684\n36268 54377\n87543 100000\n38024 57020\n16312 24526\n34158 51221\n55610 83403\n77605 100000\n83535 100000\n26315 39482\n11286 16939\n92662 100000\n50545 75773\n24303 36470\n94333 100000\n13334 20024\n97934 100000\n47576 71298\n14216 21379\n86221 100000\n88576 100000\n19873 29879\n30231 45338\n32344 48526\n24302 36469\n42078 63113\n56734 85082\n47050 70527\n48765 73090\n96085 100000\n27366 41024\n85863 100000\n73148 100000\n5749 8637\n5913 8889\n42752 64122\n52933 79333\n84225 100000\n48414 72549\n57871 86786\n75892 100000\n539 827\n86285 100000\n809 1228\n67488 100000\n27070 40583\n49299 73888\n53315 79922\n58371 87560\n61940 92920\n60430 90660\n68549 100000\n15561 23416\n1574 2381\n46524 69745\n6722 10110\n11610 17425\n53846 80703\n82852 100000\n88502 100000\n8861 13297\n53465 80139\n13651 20516\n11971 17967\n85788 100000\n78317 100000\n84123 100000\n52952 79363\n97164 100000\n80517 100000\n60173 90278\n26087 39142\n68844 100000\n79112 100000\n57453 86175\n856 1301\n16917 25426\n7816 11741\n23528 35302\n67166 100000\n67540 100000\n56132 84182\n86356 100000\n14657 22047\n596 915\n98083 100000\n9070 13597\n74146 100000\n31087 46656\n87150 100000\n63767 95619\n39473 59181\n7501 11273\n75961 100000\n97740 100000\n57103 85637\n75309 100000\n67105 100000\n1977 2970\n85153 100000\n39765 59624\n96851 100000\n91948 100000\n90598 100000\n60569 90860\n47296 70895\n24301 36468\n90919 100000\n64075 96095\n84725 100000\n92383 100000\n35811 53692\n71625 100000\n80409 100000\n29317 43974\n91374 100000\n30056 45067\n89582 100000\n96935 100000\n69854 100000\n45384 68071\n72894 100000\n46642 69916\n68397 100000\n79562 100000\n94707 100000\n99529 100000\n94326 100000\n89074 100000\n9355 14036\n69212 100000\n11004 16511\n26377 39572\n70943 100000\n84028 100000\n6056 9111\n17893 26882\n80472 100000\n78005 100000\n8546 12818\n2216 3330\n44311 66455\n27339 40980\n74487 100000\n93054 100000\n10218 15338\n30996 46527\n55339 82985\n23472 35219\n24593 36896\n57362 86038\n65036 97544\n47409 71056\n82438 100000\n68214 100000\n36605 54889\n5585 8396\n86536 100000\n43106 64652\n84195 100000\n47399 71044\n354 546\n48086 72058\n69624 100000\n81552 100000\n63719 95551\n73124 100000\n37873 56787\n36036 54025\n51343 76963\n98988 100000\n93275 100000\n68547 100000\n53935 80841\n29705 44543\n47487 71165\n22196 33335\n16787 25235\n78919 100000\n2649 3989\n89125 100000\n4634 6978\n25945 38926\n24688 37038\n47076 70566\n93964 100000\n46628 69897\n96324 100000\n21001 31571\n20771 31219\n71757 100000\n94843 100000\n94129 100000\n3170 4784\n9251 13878\n82300 100000\n93444 100000\n72934 100000\n92435 100000\n6345 9560\n85249 100000\n69117 100000\n65436 98155\n45788 68662\n62006 93020\n167 256\n14806 22276\n33787 50669\n30212 45310\n24802 37215\n43339 65012\n68542 100000\n45465 68188\n8214 12334\n7163 10771\n69982 100000\n47782 71607\n65839 98769\n93276 100000\n32167 48260\n5919 8897\n55436 83129\n71502 100000\n70085 100000\n49360 73979\n12950 19438\n14982 22538\n48137 72133\n61585 92377\n26885 40311\n99452 100000\n80215 100000\n27540 41299\n8630 12951\n44642 66952\n75450 100000\n64906 97348\n91135 100000\n81729 100000\n71790 100000\n8987 13477\n45897 68827\n53854 80715\n65905 98870\n88949 100000\n42644 63958\n27083 40602\n24261 36405\n21502 32320\n70602 100000\n75201 100000\n37386 56054\n891 1353\n83287 100000\n47773 71591\n68150 100000\n99566 100000\n55781 83665\n57556 86325\n14958 22498\n76048 100000\n70334 100000\n19183 28842\n74753 100000\n97278 100000\n75187 100000\n26998 40471\n97022 100000\n99309 100000\n97714 100000\n69981 100000\n84366 100000\n49932 74851\n25707 38560\n76905 100000\n20999 31569\n25433 38161\n85605 100000\n25161 37760\n48778 73111\n87404 100000\n53892 80775\n88778 100000\n95794 100000\n70447 100000\n92978 100000\n84987 100000\n16340 24566\n79875 100000\n42488 63728\n24499 36759\n21315 32038\n53356 79981\n27827 41734\n97831 100000\n75036 100000\n64818 97215\n37685 56509\n34940 52406\n9007 13505\n33296 49927\n1049 1585\n72183 100000\n88388 100000\n32189 48291\n10524 15786\n44436 66643\n23482 35233\n71391 100000\n35977 53939\n59006 88501\n17922 26927\n52045 78008\n1834 2759\n43269 64899\n50660 75949\n93131 100000\n21112 31735\n75332 100000\n9694 14546\n83005 100000\n5309 7982\n2357 3545\n57674 86505\n29886 44816\n52400 78532\n16922 25434\n72607 100000\n44776 67153\n6607 9939\n59310 88960\n89806 100000\n44071 66095\n40619 60911\n41370 62053\n43664 65495\n83959 100000\n39457 59159\n85307 100000\n50911 76327\n8788 13184\n77653 100000\n75626 100000\n1350 2047\n56653 84969\n77940 100000\n48708 73008\n24312 36483\n66071 99125\n95906 100000\n73977 100000\n56886 85310\n52051 78019\n97227 100000\n23227 34859\n86046 100000\n10125 15198\n3453 5210\n30646 45987\n92751 100000\n17925 26933\n71299 100000\n39125 58645\n85761 100000\n56557 84828\n78183 100000\n51496 77178\n88006 100000\n61596 92396\n39017 58490\n18089 27177\n6571 9882\n56334 84490\n81683 100000\n71895 100000\n84442 100000\n29959 44927\n2279 3428\n36455 54661\n50218 75278\n63954 95903\n16558 24900\n14039 21111\n27075 40590\n91244 100000\n85650 100000\n12320 18487\n47194 70742\n5263 7912\n59107 88650\n34428 51627\n35905 53833\n89539 100000\n3420 5162\n54208 81246\n93116 100000\n6629 9974\n76548 100000\n32364 48558\n39812 59694\n43048 64560\n42376 63559\n85894 100000\n38673 57991\n11566 17361\n90360 100000\n21774 32709\n48286 72359\n15910 23924\n66818 100000\n54854 82242\n24534 36811\n61824 92738\n80469 100000\n12706 19066\n70620 100000\n748 1143\n62351 93544\n84222 100000\n54580 81817\n49545 74265\n73609 100000\n31776 47678\n78380 100000\n41816 62732\n80550 100000\n70912 100000\n65941 98926\n15039 22624\n71862 100000\n77789 100000\n21037 31627\n17651 26518\n11753 17642\n70010 100000\n25693 38535\n58899 88342\n84557 100000\n46619 69885\n9015 13518\n50803 76163\n55116 82652\n74410 100000\n16772 25212\n30070 45086\n12927 19401\n14568 21902\n15224 22903\n50657 75945\n70916 100000\n3629 5465\n55461 83170\n36318 54456\n84423 100000\n44430 66637\n96186 100000\n19718 29647\n68780 100000\n29480 44213\n40407 60590\n98932 100000\n80012 100000\n87199 100000\n30642 45982\n22475 33737\n10944 16417\n89538 100000\n50591 75841\n70304 100000\n49261 73829\n17138 25753\n77537 100000\n2650 3991\n16891 25385\n97826 100000\n1438 2178\n93876 100000\n52114 78106\n73178 100000\n89953 100000\n13827 20785\n30731 46113\n97602 100000\n15197 22866\n20226 30408\n3656 5506\n89859 100000\n20053 30149\n38208 57297\n82858 100000\n30943 46441\n57170 85736\n41955 62941\n28557 42828\n41800 62707\n68365 100000\n84421 100000\n72301 100000\n29679 44503\n1636 2467\n79999 100000\n72717 100000\n58240 87352\n31872 47819\n6366 9593\n95998 100000\n5918 8896\n23117 34695\n78365 100000\n32872 49303\n43751 65626\n68565 100000\n15564 23419\n1874 2821\n28084 42117\n10094 15148\n52986 79409\n73810 100000\n44272 66399\n59746 89645\n63262 94889\n75230 100000\n22182 33313\n69791 100000\n79845 100000\n86101 100000\n93979 100000\n93632 100000\n40887 61317\n30510 45771\n51525 77219\n65534 98302\n64375 96548\n97130 100000\n1383 2094\n85080 100000\n10342 15520\n45462 68183\n96819 100000\n14066 21153\n60564 90854\n95595 100000\n40964 61434\n22955 34445\n675 1031\n59732 89621\n62309 93475\n59858 89811\n6169 9288\n7368 11075\n51353 76978\n51581 77300\n44933 67387\n26323 39495\n39188 58738\n2449 3687\n69976 100000\n565 865\n97737 100000\n74540 100000\n95908 100000\n60911 91380\n94856 100000\n92982 100000\n47861 71720\n41450 62171\n52327 78420\n83064 100000\n67640 100000\n66263 99412\n74630 100000\n51517 77207\n44499 66740\n4857 7303\n32724 49089\n10233 15361\n43624 65435\n60550 90834\n89851 100000\n50800 76158\n47454 71121\n2612 3938\n77854 100000\n2403 3611\n52957 79370\n45011 67502\n60862 91303\n22203 33344\n98111 100000\n26932 40379\n37918 56856\n99364 100000\n97982 100000\n25403 38116\n92291 100000\n85401 100000\n41096 61635\n44380 66562\n40516 60755\n36725 55072\n42049 63074\n74437 100000\n90714 100000\n31967 47962\n21066 31666\n58019 87012\n19362 29111\n29076 43605\n28299 42440\n16502 24819\n49455 74122\n42361 63539\n16135 24255\n91188 100000\n2536 3823\n40642 60947\n53469 80144\n27361 41017\n33370 50034\n76029 100000\n35482 53206\n80292 100000\n37395 56066\n54727 82047\n19092 28708\n52951 79361\n54283 81360\n42428 63641\n8367 12561\n6446 9704\n19790 29756\n76439 100000\n32032 48061\n36081 54091\n82951 100000\n40928 61381\n45082 67618\n96169 100000\n27066 40577\n72589 100000\n21693 32585\n55948 83904\n91277 100000\n52586 78811\n49688 74482\n5335 8021\n21830 32797\n84535 100000\n37114 55648\n35465 53184\n70345 100000\n96728 100000\n62088 93133\n96960 100000\n31911 47877\n34638 51948\n45918 68855\n68177 100000\n23457 35198\n95112 100000\n88815 100000\n59559 89346\n41180 61762\n84325 100000\n89525 100000\n81361 100000\n37503 56230\n19506 29330\n53883 80758\n36897 55325\n43130 64689\n33337 49988\n5616 8442\n91215 100000\n24539 36819\n54544 81769\n51982 77910\n88477 100000\n85728 100000\n71103 100000\n30951 46455\n7261 10917\n31352 47045\n60289 90445\n32210 48323\n40126 60168\n93636 100000\n3342 5044\n76383 100000\n80688 100000\n61822 92736\n7959 11955\n57066 85583\n750 1145\n282 432\n50876 76273\n37541 56283\n31238 46880\n61276 91917\n4018 6035\n41156 61725\n37208 55788\n7804 11721\n93990 100000\n47134 70653\n27788 41675\n55458 83165\n75627 100000\n66862 100000\n83254 100000\n71223 100000\n8921 13386\n81971 100000\n91877 100000\n21493 32309\n83270 100000\n44992 67471\n45719 68566\n91633 100000\n35642 53438\n39965 59921\n6674 10038\n90413 100000\n58302 87453\n80046 100000\n4651 7001\n94070 100000\n71926 100000\n4165 6270\n18634 28004\n13859 20834\n90838 100000\n64521 96767\n93878 100000\n39978 59940\n1192 1804\n72000 100000\n73031 100000\n44638 66946\n5725 8601\n8728 13094\n224 343\n52749 79056\n70338 100000\n50267 75355\n26586 39884\n15207 22878\n37818 56708\n16552 24889\n82826 100000\n36696 55024\n86559 100000\n56319 84471\n27144 40694\n42584 63872\n1114 1679\n9634 14455\n41285 61928\n37658 56470\n76416 100000\n22481 33746\n71667 100000\n8494 12744\n10541 15812\n53435 80098\n47999 71931\n59077 88607\n88959 100000\n12819 19232\n16405 24664\n34123 51165\n96059 100000\n11391 17096\n82281 100000\n7284 10952\n12682 19035\n40834 61243\n77514 100000\n52565 78778\n236 363\n86468 100000\n4993 7510\n10636 15953\n61073 91619\n84077 100000\n64881 97306\n81576 100000\n39004 58471\n22134 33243\n12310 18472\n43819 65723\n18834 28321\n45315 67969\n90613 100000\n68597 100000\n47476 71151\n23987 36002\n1013 1533\n50057 75031\n14479 21770\n74440 100000\n94269 100000\n25741 38615\n59125 88680\n38237 57340\n49617 74371\n13285 19947\n53986 80916\n86287 100000\n82723 100000\n96703 100000\n91391 100000\n37650 56458\n47473 71146\n52166 78182\n38335 57486\n42924 64379\n67287 100000\n81105 100000\n16717 25136\n55558 83323\n96761 100000\n20343 30584\n22345 33540\n86144 100000\n719 1095\n22967 34465\n15765 23711\n54939 82369\n66879 100000\n7748 11642\n88126 100000\n56857 85270\n95363 100000\n38478 57702\n93673 100000\n45326 67986\n48616 72868\n52980 79398\n60252 90388\n59888 89856\n43148 64717\n27207 40783\n66669 100000\n27975 41958\n72253 100000\n83502 100000\n99086 100000\n88707 100000\n23583 35387\n86038 100000\n76789 100000\n13158 19764\n51170 76712\n28876 43313\n70500 100000\n35426 53124\n66907 100000\n83196 100000\n18040 27103\n93063 100000\n62987 94490\n24029 36061\n3317 5007\n98280 100000\n21657 32535\n47922 71812\n9848 14778\n66740 100000\n10401 15607\n93827 100000\n97514 100000\n17909 26906\n47935 71833\n87534 100000\n72433 100000\n39518 59252\n22694 34064\n124 191\n45581 68366\n81804 100000\n85269 100000\n47424 71076\n1789 2695\n15779 23731\n63974 95930\n42291 63437\n58833 88240\n55407 83086\n2729 4114\n58213 87310\n49947 74870\n20035 30123\n30203 45297\n26384 39582\n71538 100000\n8008 12020\n50236 75303\n75388 100000\n60141 90235\n88555 100000\n1470 2225\n5539 8323\n79406 100000\n32380 48579\n72342 100000\n64505 96740\n6143 9244\n11250 16882\n45562 68338\n93224 100000\n72548 100000\n89758 100000\n20655 31038\n11913 17885\n81100 100000\n26121 39190\n63293 94930\n87990 100000\n3237 4884\n32645 48965\n19614 29493\n36758 55127\n53133 79632\n27575 41349\n33012 49509\n26080 39131\n4327 6513\n33450 50157\n58198 87287\n23535 35311\n83977 100000\n55414 83096\n67605 100000\n71383 100000\n77197 100000\n93172 100000\n19086 28698\n64579 96855\n86687 100000\n30884 46350\n28463 42691\n9944 14929\n23760 35650\n83028 100000\n24279 36436\n81071 100000\n97131 100000\n16110 24220\n80450 100000\n31487 47241\n90828 100000\n42653 63970\n25786 38686\n1497 2266\n16056 24141\n88813 100000\n29918 44864\n69836 100000\n92366 100000\n1572 2379\n47365 70999\n94358 100000\n78867 100000\n50878 76275\n7005 10532\n70267 100000\n32582 48870\n58406 87612\n79287 100000\n89158 100000\n8562 12846\n28859 43289\n30660 46005\n17295 26000\n20758 31200\n27011 40492\n59583 89384\n77568 100000\n51667 77428\n9128 13681\n64142 96202\n50989 76437\n93461 100000\n5828 8763\n46697 69996\n15479 23294\n53128 79625\n50790 76143\n27973 41956\n93520 100000\n97488 100000\n30700 46068\n8935 13403\n43113 64663\n60682 91029\n52063 78035\n14427 21690\n48310 72393\n67379 100000\n199 305\n32216 48331\n40780 61162\n93781 100000\n41562 62343\n55976 83946\n94363 100000\n54202 81237\n5272 7924\n2930 4421\n86655 100000\n8364 12557\n88597 100000\n65609 98417\n15165 22818\n92850 100000\n20537 30857\n83520 100000\n48565 72787\n88230 100000\n42780 64161\n93122 100000\n68044 100000\n36832 55234\n78582 100000\n60284 90437\n80946 100000\n46938 70357\n37494 56217\n34073 51090\n37358 56012\n94127 100000\n99584 100000\n53655 80417\n44242 66351\n99612 100000\n44174 66252\n66178 99285\n43251 64872\n75342 100000\n82472 100000\n7909 11885\n73020 100000\n37416 56100\n18525 27838\n21986 33023\n36934 55380\n21282 31987\n7516 11297\n18810 28288\n88052 100000\n42208 63316\n40535 60783\n12223 18353\n31579 47382\n81567 100000\n80014 100000\n57284 85917\n44696 67033\n23443 35179\n36763 55134\n30140 45198\n39488 59205\n44160 66232\n11551 17338\n87269 100000\n14040 21112\n66671 100000\n64542 96799\n45832 68730\n59785 89703\n64173 96248\n31560 47355\n26930 40376\n5692 8554\n63382 95060\n32913 49366\n21283 31989\n57128 85674\n67411 100000\n13148 19744\n82138 100000\n98181 100000\n11470 17217\n1430 2165\n70496 100000\n71988 100000\n63181 94773\n10936 16404\n17457 26235\n96678 100000\n81769 100000\n49516 74217\n47840 71688\n86842 100000\n12798 19204\n23487 35240\n8204 12318\n35876 53789\n90018 100000\n30832 46270\n28979 43470\n38377 57548\n64553 96815\n43812 65712\n33547 50304\n1597 2409\n7945 11938\n8193 12303\n51847 77703\n17294 25999\n86337 100000\n65176 97755\n66791 100000\n29832 44733\n13912 20915\n81606 100000\n50573 75813\n88113 100000\n13646 20509\n80727 100000\n68541 100000\n91769 100000\n57032 85535\n11505 17267\n52310 78398\n25570 38354\n7243 10889\n12023 18047\n1061 1603\n8851 13281\n40957 61424\n58984 88468\n99368 100000\n59803 89728\n82103 100000\n14516 21821\n59611 89430\n28821 43232\n57709 86552\n25155 37752\n50978 76423\n56623 84924\n6701 10082\n18321 27526\n83344 100000\n75912 100000\n52631 78878\n18341 27554\n11123 16696\n20315 30538\n31256 46903\n54412 81567\n92926 100000\n6177 9300\n12961 19453\n11468 17214\n39212 58783\n43233 64842\n23759 35649\n61904 92867\n81792 100000\n66542 99829\n54293 81376\n97779 100000\n73746 100000\n66368 99570\n9031 13541\n90140 100000\n79760 100000\n98661 100000\n6800 10222\n64367 96537\n84197 100000\n34478 51708\n22771 34174\n63484 95208\n24089 36150\n84542 100000\n30330 45483\n57105 85640\n48142 72143\n21011 31590\n71744 100000\n41356 62032\n52776 79093\n73363 100000\n41403 62101\n964 1463\n5738 8617\n12324 18494\n63138 94715\n61615 92422\n88336 100000\n83587 100000\n31999 48013\n62439 93675\n8357 12548\n4544 6840\n70753 100000\n39861 59766\n37521 56258\n39659 59468\n79671 100000\n14575 21911\n42773 64151\n91581 100000\n13581 20407\n58033 87033\n91659 100000\n36249 54346\n64044 96048\n61579 92369\n14703 22119\n450 688\n34171 51241\n53878 80751\n781 1188\n94391 100000\n11661 17501\n81056 100000\n86466 100000\n1378 2086\n47483 71158\n82941 100000\n30047 45055\n46811 70165\n36447 54649\n29149 43715\n57791 86675\n42086 63124\n77831 100000\n60258 90396\n51923 77816\n79982 100000\n34140 51192\n692 1057\n74332 100000\n59541 89320\n95672 100000\n5831 8766\n52406 78542\n65982 98985\n19177 28833\n45135 67694\n83916 100000\n67195 100000\n92582 100000\n95665 100000\n44645 66956\n83275 100000\n78487 100000\n43313 64969\n81394 100000\n7168 10778\n65099 97642\n83950 100000\n72418 100000\n83829 100000\n19486 29301\n87662 100000\n51151 76684\n62109 93161\n81146 100000\n91114 100000\n6290 9473\n97881 100000\n37134 55676\n90984 100000\n949 1443\n65885 98842\n35354 53012\n83435 100000\n62289 93442\n52775 79092\n49618 74373\n61064 91606\n97007 100000\n42391 63582\n27149 40702\n15077 22688\n17001 25545\n85903 100000\n19309 29024\n2785 4200\n10049 15082\n2002 3009\n95085 100000\n95337 100000\n66396 99612\n39215 58788\n18511 27813\n4418 6651\n71057 100000\n1305 1978\n35532 53278\n62646 93981\n93366 100000\n7250 10900\n41869 62815\n80934 100000\n10134 15213\n80050 100000\n9399 14100\n49952 74878\n96171 100000\n38975 58428\n86155 100000\n61810 92718\n61561 92345\n31565 47362\n77551 100000\n10419 15637\n20928 31461\n41991 62989\n75512 100000\n95255 100000\n19036 28624\n2744 4138\n81310 100000\n21521 32346\n27564 41331\n95247 100000\n4583 6901\n79225 100000\n25184 37795\n9124 13677\n95864 100000\n3806 5733\n39704 59539\n2402 3609\n2341 3522\n31590 47399\n9151 13718\n48419 72558\n31031 46578\n59551 89335\n94875 100000\n67368 100000\n54679 81972\n29471 44198\n31896 47856\n25895 38851\n68746 100000\n9778 14674\n76331 100000\n23843 35775\n77011 100000\n19717 29646\n12804 19214\n8041 12069\n97012 100000\n5071 7627\n23848 35783\n39630 59425\n31736 47623\n64738 97095\n88887 100000\n9430 14143\n6643 9995\n88057 100000\n75631 100000\n42248 63375\n51505 77191\n66841 100000\n47472 71145\n13237 19880\n10703 16048\n80706 100000\n26156 39243\n3022 4562\n41815 62730\n94289 100000\n58617 87918\n6139 9238\n90917 100000\n75822 100000\n85472 100000\n88743 100000\n90451 100000\n79288 100000\n84971 100000\n33264 49881\n20129 30262\n18735 28170\n47414 71062\n35925 53861\n99538 100000\n27392 41068\n98284 100000\n4190 6308\n45539 68305\n58552 87823\n99241 100000\n21574 32424\n81166 100000\n96316 100000\n28276 42404\n7595 11415\n71905 100000\n98776 100000\n58109 87153\n48676 72956\n68646 100000\n68021 100000\n97100 100000\n57731 86584\n87788 100000\n12727 19098\n61171 91767\n83671 100000\n50817 76182\n37651 56459\n93100 100000\n53808 80642\n5703 8572\n94346 100000\n22015 33065\n87516 100000\n94315 100000\n51634 77378\n72439 100000\n47867 71728\n18157 27278\n25884 38835\n7973 11974\n5653 8498\n66506 99777\n15695 23611\n43631 65445\n86850 100000\n39881 59795\n8073 12119\n99549 100000\n40930 61384\n49312 73908\n81043 100000\n29191 43775\n28389 42577\n73774 100000\n43115 64666\n79099 100000\n64249 96364\n37076 55592\n28768 43154\n78032 100000\n28601 42893\n26995 40467\n86310 100000\n99903 100000\n25506 38266\n57379 86066\n51839 77693\n23138 34727\n66654 99991\n80270 100000\n45175 67756\n68764 100000\n44763 67134\n57160 85722\n47358 70987\n60182 90290\n48629 72889\n96437 100000\n36414 54600\n68890 100000\n21042 31634\n33875 50803\n9583 14381\n83471 100000\n86267 100000\n89612 100000\n65300 97946\n67558 100000\n95008 100000\n56851 85262\n51313 76919\n95437 100000\n88148 100000\n7513 11292\n8169 12265\n56063 84078\n27837 41751\n49679 74469\n33146 49709\n9450 14172\n91911 100000\n76850 100000\n88433 100000\n7553 11353\n18452 27719\n9716 14578\n93374 100000\n35723 53556\n14450 21726\n55839 83741\n61228 91848\n57719 86568\n92247 100000\n48763 73088\n3839 5778\n92528 100000\n8315 12481\n35021 52529\n78070 100000\n86775 100000\n3916 5896\n98341 100000\n17129 25739\n96619 100000\n49893 74796\n14289 21482\n23222 34852\n59712 89589\n50564 75798\n60588 90891\n45410 68108\n28960 43443\n3742 5638\n97767 100000\n72310 100000\n11376 17069\n17221 25882\n62262 93401\n56417 84619\n32575 48863\n77795 100000\n93801 100000\n85528 100000\n73095 100000\n48691 72980\n91878 100000\n31359 47054\n86824 100000\n82821 100000\n44300 66439\n20329 30560\n99818 100000\n47318 70928\n33192 49775\n88515 100000\n84484 100000\n16649 25035\n61447 92175\n80428 100000\n29225 43828\n56245 84358\n51076 76571\n78650 100000\n60517 90785\n81177 100000\n12078 18132\n77781 100000\n20122 30249\n50910 76326\n72844 100000\n96822 100000\n87384 100000\n61118 91685\n30238 45349\n84351 100000\n82948 100000\n7601 11424\n59293 88935\n18506 27806\n47432 71089\n43043 64552\n91067 100000\n45638 68448\n30574 45875\n708 1080\n33424 50121\n32374 48571\n20164 30313\n33840 50749\n35481 53205\n97017 100000\n79338 100000\n63459 95173\n35213 52808\n98606 100000\n47193 70741\n12122 18195\n27404 41089\n91930 100000\n65999 99013\n63336 94992\n16327 24548\n4918 7397\n73298 100000\n24456 36701\n39601 59381\n14790 22252\n41695 62540\n42767 64142\n3461 5222\n42245 63371\n83668 100000\n65587 98384\n83803 100000\n65979 98981\n91249 100000\n32267 48412\n35686 53504\n29871 44793\n18672 28066\n96852 100000\n17657 26529\n32304 48462\n4951 7452\n22226 33374\n83075 100000\n40913 61358\n68142 100000\n21929 32941\n67675 100000\n83592 100000\n23519 35291\n13036 19573\n19629 29513\n82110 100000\n32194 48299\n67738 100000\n42675 63999\n94080 100000\n88373 100000\n4806 7235\n53919 80816\n43433 65152\n76752 100000\n97213 100000\n50738 76068\n66675 100000\n67987 100000\n24889 37343\n96659 100000\n93274 100000\n73340 100000\n12603 18910\n45271 67901\n31655 47498\n38046 57054\n5213 7839\n74253 100000\n69464 100000\n3323 5015\n52803 79135\n60510 90775\n54707 82014\n41814 62728\n54288 81368\n23270 34921\n88060 100000\n81610 100000\n82871 100000\n57637 86445\n85936 100000\n4860 7308\n34204 51286\n2640 3978\n60071 90129\n34186 51261\n17801 26750\n38050 57059\n91224 100000\n30653 45995\n58051 87064\n86578 100000\n74547 100000\n90443 100000\n92311 100000\n41494 62240\n91315 100000\n32910 49360\n73465 100000\n7485 11249\n13249 19898\n71308 100000\n67135 100000\n93679 100000\n80957 100000\n50932 76355\n19624 29506\n23126 34707\n48718 73021\n38048 57056\n47976 71897\n39880 59794\n45935 68878\n70721 100000\n68775 100000\n12711 19074\n35472 53194\n91608 100000\n72349 100000\n60357 90552\n50496 75704\n64753 97116\n59897 89870\n4285 6450\n41184 61768\n18226 27387\n2316 3483\n99667 100000\n16722 25144\n68022 100000\n24561 36850\n78087 100000\n33716 50555\n64364 96532\n82408 100000\n75175 100000\n19526 29357\n47989 71918\n70262 100000\n27679 41501\n21990 33028\n36569 54829\n1999 3005\n77085 100000\n27669 41487\n62400 93617\n59490 89244\n79802 100000\n27024 40514\n84632 100000\n29931 44886\n5394 8108\n32892 49334\n67323 100000\n69262 100000\n64617 96913\n29870 44792\n58134 87193\n96485 100000\n69415 100000\n19473 29282\n44536 66792\n33712 50551\n62959 94447\n48976 73407\n50677 75974\n53761 80573\n22055 33122\n58098 87135\n18208 27357\n37926 56869\n57668 86496\n70908 100000\n45989 68957\n28351 42520\n16694 25103\n84030 100000\n65762 98651\n43065 64587\n17986 27019\n97332 100000\n80543 100000\n44508 66752\n93039 100000\n38245 57351\n20391 30652\n33322 49966\n39261 58860\n53536 80242\n65591 98389\n52175 78195\n57604 86394\n75245 100000\n6653 10009\n82792 100000\n49281 73860\n34707 52055\n98314 100000\n42147 63219\n77777 100000\n38993 58454\n36997 55474\n49911 74822\n74597 100000\n12265 18411\n66084 99144\n73057 100000\n85743 100000\n6362 9586\n74552 100000\n62711 94079\n87682 100000\n5819 8748\n34693 52033\n16290 24490\n10681 16016\n52145 78150\n57203 85788\n38452 57664\n44540 66798\n88791 100000\n17710 26609\n6424 9679\n31206 46841\n41888 62842\n92655 100000\n88752 100000\n1439 2179\n10711 16063\n46453 69639\n16228 24400\n74557 100000\n17715 26616\n67807 100000\n94919 100000\n44753 67118\n94930 100000\n29164 43737\n98094 100000\n62694 94055\n44210 66303\n63800 95670\n51356 76983\n84795 100000\n26945 40398\n94280 100000\n53587 80313\n19734 29671\n38609 57895\n45480 68214\n73880 100000\n13873 20857\n67506 100000\n55853 83761\n53461 80134\n54083 81060\n5530 8309\n41435 62150\n47489 71167\n78854 100000\n63888 95810\n79523 100000\n97169 100000\n52500 78682\n3239 4888\n39243 58836\n44312 66457\n84323 100000\n85676 100000\n34098 51125\n3987 5992\n46116 69150\n74052 100000\n70433 100000\n60115 90199\n41693 62537\n76592 100000\n31102 46679\n32524 48792\n94404 100000\n76869 100000\n17645 26510\n34783 52169\n36464 54675\n3566 5372\n16427 24701\n40598 60881\n26350 39534\n56151 84211\n18979 28540\n28909 43362\n21420 32196\n25254 37898\n99442 100000\n85778 100000\n77782 100000\n4717 7099\n46151 69203\n53139 79642\n48092 72066\n75200 100000\n9819 14734\n98165 100000\n75165 100000\n79124 100000\n16974 25507\n7524 11310\n22259 33416\n18148 27263\n19263 28957\n93050 100000\n46313 69437\n85141 100000\n70950 100000\n79606 100000\n49965 74896\n62119 93175\n40719 61062\n90438 100000\n99781 100000\n30571 45870\n16582 24933\n1772 2667\n83382 100000\n98542 100000\n19469 29275\n66197 99311\n33208 49802\n79754 100000\n94155 100000\n24739 37116\n25626 38436\n83588 100000\n94922 100000\n9605 14413\n32809 49212\n11876 17826\n66500 99767\n19271 28970\n58515 87769\n84596 100000\n43027 64527\n63395 95076\n77582 100000\n97930 100000\n6868 10322\n91283 100000\n13261 19915\n66986 100000\n62419 93647\n36930 55374\n39974 59935\n5898 8867\n92217 100000\n82590 100000\n55487 83212\n31850 47789\n80028 100000\n34529 51784\n40525 60767\n14434 21700\n80356 100000\n59959 89964\n89272 100000\n64551 96813\n76539 100000\n73604 100000\n78953 100000\n93006 100000\n13773 20703\n26085 39138\n13553 20363\n60458 90703\n46248 69342\n99875 100000\n63224 94832\n25669 38499\n54822 82195\n86685 100000\n71658 100000\n53644 80401\n13010 19534\n64540 96796\n95526 100000\n688 1052\n79003 100000\n75210 100000\n48751 73073\n33442 50146\n4286 6452\n37336 55980\n306 470\n63260 94887\n35379 53050\n18047 27115\n85037 100000\n52097 78083\n32208 48320\n54349 81463\n65596 98396\n55387 83059\n92603 100000\n25641 38461\n91449 100000\n32617 48923\n68553 100000\n76846 100000\n6650 10005\n54813 82181\n10658 15985\n83814 100000\n60108 90191\n81191 100000\n66807 100000\n1664 2511\n48203 72228\n22101 33192\n10910 16368\n95193 100000\n76372 100000\n95652 100000\n80311 100000\n22864 34311\n63992 95962\n48853 73225\n78136 100000\n42574 63854\n4550 6847\n29704 44541\n44683 67011\n91296 100000\n46214 69289\n45731 68586\n79576 100000\n6052 9104\n42311 63463\n3499 5275\n85669 100000\n37757 56614\n7041 10587\n90276 100000\n49507 74202\n32352 48540\n75380 100000\n86425 100000\n63519 95261\n70798 100000\n17615 26467\n89194 100000\n93254 100000\n74518 100000\n16400 24657\n68112 100000\n98660 100000\n82116 100000\n3824 5757\n34034 51032\n67584 100000\n55296 82925\n5587 8399\n59983 90001\n16986 25524\n85086 100000\n78703 100000\n3847 5790\n96540 100000\n1749 2634\n16200 24359\n90146 100000\n36724 55070\n74499 100000\n79265 100000\n59608 89425\n9039 13553\n47846 71697\n1483 2246\n41872 62819\n96315 100000\n51017 76482\n68043 100000\n14162 21296\n71353 100000\n57565 86338\n82391 100000\n29215 43811\n80662 100000\n84115 100000\n69280 100000\n1131 1709\n22516 33796\n47491 71171\n83856 100000\n39925 59860\n32281 48430\n71917 100000\n59806 89734\n31071 46634\n21899 32895\n25876 38823\n35158 52730\n15783 23736\n47548 71257\n88523 100000\n22474 33736\n28744 43116\n24496 36755\n567 868\n23940 35924\n35745 53589\n52499 78681\n19568 29425\n67871 100000\n81459 100000\n24856 37294\n32464 48703\n30098 45133\n24614 36924\n58680 88011\n46824 70185\n21046 31638\n58401 87605\n15399 23172\n60724 91090\n31131 46720\n77524 100000\n93531 100000\n86551 100000\n72475 100000\n63028 94552\n67972 100000\n29969 44943\n63956 95907\n21949 32971\n73625 100000\n3641 5482\n62206 93315\n14228 21394\n88808 100000\n15068 22675\n63412 95101\n88197 100000\n49234 73792\n18128 27233\n37476 56191\n96371 100000\n87102 100000\n13353 20055\n21784 32725\n64546 96805\n71605 100000\n50017 74972\n37055 55560\n60484 90740\n97016 100000\n86478 100000\n6794 10214\n15347 23093\n90875 100000\n43797 65690\n78853 100000\n81983 100000\n42643 63956\n1608 2426\n66406 99625\n84683 100000\n25316 37986\n95533 100000\n53193 79729\n20154 30298\n74916 100000\n13841 20804\n93726 100000\n77408 100000\n18791 28256\n41528 62289\n48801 73143\n51668 77430\n84398 100000\n34672 51999\n90385 100000\n55861 83770\n56345 84507\n57577 86355\n81214 100000\n90468 100000\n65861 98800\n85105 100000\n63094 94655\n97793 100000\n65227 97835\n66321 99497\n46928 70340\n44183 66267\n44701 67041\n84376 100000\n14122 21236\n10332 15507\n75028 100000\n67370 100000\n97588 100000\n92839 100000\n426 653\n36463 54673\n91649 100000\n67239 100000\n1389 2101\n29398 44097\n34427 51626\n39226 58805\n97001 100000\n54504 81708\n62590 93898\n5432 8164\n49510 74207\n88223 100000\n92414 100000\n34133 51180\n65751 98635\n22302 33479\n86124 100000\n8723 13088\n62691 94051\n74143 100000\n40846 61260\n19375 29131\n98346 100000\n72314 100000\n85489 100000\n70005 100000\n70873 100000\n48788 73125\n37565 56323\n91336 100000\n53824 80669\n57645 86457\n18897 28420\n34865 52297\n31966 47960\n24708 37070\n17620 26473\n51036 76512\n91247 100000\n82007 100000\n89416 100000\n4434 6676\n2540 3828\n36028 54016\n2563 3864\n82973 100000\n25780 38675\n87464 100000\n76027 100000\n87262 100000\n97428 100000\n73914 100000\n98740 100000\n99476 100000\n31311 46987\n67668 100000\n67771 100000\n43483 65229\n56659 84978\n73838 100000\n60427 90656\n86513 100000\n35085 52619\n81386 100000\n54158 81175\n60865 91307\n72436 100000\n40170 60237\n66920 100000\n50396 75553\n79239 100000\n39325 58963\n95978 100000\n91817 100000\n67404 100000\n27643 41450\n62371 93574\n53743 80546\n59918 89900\n60000 90025\n98120 100000\n49107 73605\n86019 100000\n9162 13735\n73904 100000\n64729 97083\n99020 100000\n27267 40877\n66217 99344\n49922 74837\n35786 53651\n84354 100000\n81005 100000\n54480 81674\n94012 100000\n3837 5775\n34208 51292\n84353 100000\n25177 37785\n796 1210\n16622 24993\n82152 100000\n83657 100000\n21604 32463\n37941 56895\n65622 98439\n40009 59990\n42485 63724\n81932 100000\n41447 62166\n41305 61960\n36870 55286\n79042 100000\n97345 100000\n57455 86178\n11985 17990\n34364 51534\n56146 84204\n88385 100000\n65825 98747\n12498 18753\n55999 83982\n43300 64951\n9987 14988\n35057 52577\n55545 83303\n70391 100000\n30640 45979\n69404 100000\n98935 100000\n18992 28560\n87314 100000\n9712 14572\n56670 84992\n83019 100000\n31498 47258\n70076 100000\n31593 47405\n68968 100000\n55571 83342\n27376 41041\n23691 35543\n65711 98571\n12261 18406\n3923 5907\n49174 73705\n6281 9459\n89471 100000\n18448 27713\n87566 100000\n8539 12807\n67993 100000\n43777 65661\n74036 100000\n80349 100000\n60069 90126\n32788 49180\n32544 48821\n27682 41507\n17449 26224\n11672 17520\n33077 49606\n38211 57300\n2372 3567\n81306 100000\n8295 12451\n97780 100000\n55466 83178\n82015 100000\n70945 100000\n34491 51727\n52955 79367\n48141 72141\n2538 3826\n98476 100000\n55287 82910\n72970 100000\n31788 47697\n51641 77389\n78082 100000\n25081 37643\n42997 64485\n21469 32273\n62190 93291\n5022 7550\n22502 33776\n25170 37773\n69756 100000\n30196 45287\n19266 28962\n47400 71045\n49612 74364\n44367 66541\n22119 33220\n3927 5912\n44694 67029\n31621 47446\n37167 55726\n68918 100000\n82599 100000\n56185 84262\n48177 72194\n14731 22165\n15682 23592\n12779 19175\n93134 100000\n64578 96853\n64443 96649\n77588 100000\n90224 100000\n87564 100000\n30347 45511\n55504 83240\n2069 3108\n465 713\n43468 65209\n2564 3865\n45344 68011\n94757 100000\n23161 34760\n81933 100000\n26027 39047\n15606 23480\n3452 5209\n12463 18703\n19776 29736\n57661 86484\n7522 11306\n29568 44336\n82132 100000\n15668 23572\n48773 73102\n27881 41816\n36117 54145\n12024 18049\n78237 100000\n79348 100000\n25439 38169\n2572 3878\n26816 40215\n61164 91755\n7032 10576\n78028 100000\n84402 100000\n40787 61171\n44903 67345\n38379 57551\n43501 65255\n88163 100000\n57782 86661\n14437 21704\n46402 69565\n10418 15635\n69273 100000\n12085 18141\n94713 100000\n73910 100000\n74863 100000\n91577 100000\n8529 12794\n31105 46682\n62326 93503\n34211 51296\n39438 59131\n46998 70446\n87493 100000\n93209 100000\n79770 100000\n37677 56498\n76972 100000\n58468 87706\n52873 79245\n55807 83697\n8024 12045\n2987 4510\n24551 36835\n62462 93710\n55309 82945\n69446 100000\n32601 48899\n38560 57825\n37849 56752\n342 526\n59313 88964\n51402 77051\n99021 100000\n13333 20022\n13229 19869\n1226 1858\n21102 31721\n14187 21335\n38396 57576\n76034 100000\n71487 100000\n78931 100000\n17480 26268\n78616 100000\n34600 51893\n96901 100000\n40588 60866\n32018 48041\n73165 100000\n71983 100000\n9540 14314\n42902 64342\n2411 3624\n74624 100000\n9427 14138\n70437 100000\n78611 100000\n74850 100000\n24866 37309\n20373 30628\n54869 82264\n78391 100000\n53611 80353\n83427 100000\n31531 47307\n75357 100000\n68147 100000\n31585 47391\n74069 100000\n55929 83876\n62688 94045\n50386 75536\n91146 100000\n37576 56339\n35020 52527\n90358 100000\n25083 37647\n45777 68648\n51721 77511\n64005 95985\n59353 89026\n75682 100000\n75952 100000\n11914 17886\n18184 27319\n34569 51845\n39916 59845\n28729 43091\n13442 20196\n76164 100000\n82794 100000\n36222 54303\n78144 100000\n8983 13473\n1477 2235\n32477 48723\n47192 70739\n49208 73754\n56546 84812\n26536 39810\n14440 21709\n23685 35535\n67066 100000\n72038 100000\n87869 100000\n63180 94771\n98519 100000\n68759 100000\n57133 85681\n10071 15114\n71726 100000\n70760 100000\n4023 6042\n55603 83393\n88487 100000\n45388 68078\n48872 73254\n61003 91517\n29138 43698\n44669 66988\n917 1394\n60925 91402\n55155 82710\n25687 38524\n93879 100000\n13612 20456\n29497 44238\n27713 41556\n11724 17598\n81824 100000\n56172 84243\n85423 100000\n48226 72266\n57313 85962\n47357 70986\n37802 56685\n31182 46802\n63460 95174\n17066 25641\n5973 8981\n5258 7904\n54424 81588\n44913 67359\n77679 100000\n17274 25965\n19234 28914\n56703 85042\n42805 64202\n16463 24755\n6341 9553\n16203 24363\n2363 3553\n95778 100000\n54865 82260\n31237 46879\n69420 100000\n67533 100000\n89278 100000\n37469 56181\n40632 60931\n58246 87361\n17944 26959\n2083 3125\n73138 100000\n1640 2474\n90362 100000\n69448 100000\n74501 100000\n13181 19796\n3870 5824\n34080 51101\n11458 17197\n13193 19816\n51258 76841\n85273 100000\n62012 93028\n84099 100000\n71229 100000\n51396 77043\n4826 7261\n36092 54108\n79816 100000\n3147 4745\n96372 100000\n72635 100000\n91410 100000\n36389 54565\n24048 36090\n82443 100000\n72283 100000\n8224 12350\n67539 100000\n89580 100000\n17245 25921\n58501 87751\n19358 29104\n19923 29955\n77594 100000\n84672 100000\n46487 69686\n32980 49462\n1688 2543\n7104 10681\n35074 52605\n28598 42888\n92729 100000\n38356 57516\n47285 70881\n89905 100000\n90466 100000\n56675 84999\n61110 91675\n21890 32883\n3590 5406\n93944 100000\n19557 29406\n79951 100000\n28690 43030\n33385 50058\n6111 9193\n6986 10504\n84486 100000\n487 745\n21267 31966\n17524 26332\n39695 59526\n228 349\n70288 100000\n50801 76159\n50142 75156\n48220 72256\n98520 100000\n66449 99692\n86467 100000\n85018 100000\n11893 17855\n80022 100000\n97993 100000\n28148 42209\n21417 32191\n80633 100000\n21992 33031\n82802 100000\n42587 63876\n75888 100000\n5862 8815\n13097 19668\n83509 100000\n59250 88873\n85213 100000\n1276 1934\n37670 56488\n4003 6015\n48264 72323\n91147 100000\n26297 39454\n2114 3172\n70390 100000\n45785 68658\n56029 84027\n56699 85038\n20836 31320\n97896 100000\n59644 89482\n41011 61505\n6002 9023\n80585 100000\n31197 46825\n68638 100000\n75611 100000\n63015 94532\n17808 26759\n8497 12747\n26084 39136\n18041 27105\n39547 59297\n95355 100000\n50799 76156\n9307 13966\n25737 38609\n35995 53963\n91682 100000\n19934 29971\n49376 74003\n5326 8008\n81380 100000\n66574 99870\n52470 78636\n3477 5244\n67804 100000\n73157 100000\n62496 93762\n97466 100000\n4444 6691\n15810 23778\n87986 100000\n34396 51582\n94638 100000\n96507 100000\n52357 78467\n56139 84193\n12949 19437\n64376 96549\n47281 70875\n20750 31187\n69249 100000\n82701 100000\n79908 100000\n27262 40870\n63952 95900\n93822 100000\n87057 100000\n51912 77797\n85933 100000\n89733 100000\n84723 100000\n35135 52694\n86766 100000\n50995 76445\n63442 95146\n50562 75796\n87281 100000\n51516 77206\n75154 100000\n84906 100000\n42919 64370\n92202 100000\n70032 100000\n63857 95761\n83735 100000\n95299 100000\n20360 30608\n19549 29393\n63088 94644\n78482 100000\n62734 94113\n17368 26108\n58987 88473\n16352 24585\n89081 100000\n63898 95825\n45780 68651\n70462 100000\n46745 70071\n23919 35890\n58583 87866\n99674 100000\n3294 4973\n50610 75867\n15062 22665\n611 935\n79788 100000\n4311 6490\n41166 61741\n3075 4641\n8909 13369\n40910 61353\n618 948\n29275 43906\n74363 100000\n49493 74180\n56008 83997\n5126 7712\n68951 100000\n32835 49251\n25051 37590\n55148 82701\n50203 75254\n30355 45523\n62708 94075\n60975 91474\n95338 100000\n61034 91564\n18281 27466\n53784 80604\n81413 100000\n94846 100000\n90127 100000\n577 887\n1859 2799\n95406 100000\n27268 40879\n68290 100000\n56199 84285\n4164 6268\n63639 95437\n95984 100000\n93524 100000\n42834 64242\n8484 12730\n89201 100000\n97034 100000\n47706 71495\n27271 40883\n78141 100000\n9105 13648\n35407 53094\n74453 100000\n529 811\n49314 73912\n83113 100000\n55724 83574\n90047 100000\n2182 3280\n28019 42020\n70316 100000\n70756 100000\n94183 100000\n42632 63941\n80483 100000\n82624 100000\n59309 88958\n15164 22817\n27730 41587\n9839 14763\n31231 46871\n50872 76268\n37487 56207\n65743 98623\n63231 94844\n6271 9442\n9816 14729\n34023 51015\n63424 95121\n90804 100000\n2138 3207\n68174 100000\n75739 100000\n95188 100000\n87966 100000\n34962 52437\n12595 18898\n85348 100000\n54426 81591\n38368 57533\n82266 100000\n96071 100000\n75371 100000\n33829 50733\n50372 75517\n70048 100000\n55800 83689\n97157 100000\n32594 48888\n44925 67376\n4181 6295\n92769 100000\n20464 30756\n99892 100000\n27035 40530\n11241 16865\n36179 54238\n93000 100000\n44429 66635\n92489 100000\n20030 30115\n82563 100000\n75066 100000\n5569 8372\n95270 100000\n83610 100000\n2628 3959\n99292 100000\n20662 31049\n93007 100000\n15022 22598\n279 427\n35535 53282\n66260 99406\n52274 78341\n71557 100000\n23727 35601\n91084 100000\n41537 62303\n31544 47329\n18795 28263\n50202 75252\n8786 13181\n36035 54024\n88498 100000\n75341 100000\n1853 2789\n86407 100000\n68264 100000\n63866 95775\n15774 23722\n50188 75232\n86254 100000\n5830 8765\n38950 58391\n7643 11485\n71528 100000\n5729 8607\n21547 32384\n6451 9712\n79637 100000\n10654 15979\n58763 88141\n17586 26423\n7599 11421\n42127 63188\n87024 100000\n83873 100000\n40845 61259\n23453 35194\n47900 71774\n25006 37524\n46795 70143\n86739 100000\n31558 47351\n94864 100000\n39274 58882\n97225 100000\n29244 43857\n77101 100000\n18008 27055\n54611 81866\n25169 37772\n45968 68925\n10177 15277\n78327 100000\n96534 100000\n73593 100000\n94542 100000\n81881 100000\n82242 100000\n50102 75096\n53954 80869\n72888 100000\n67057 100000\n45240 67853\n89494 100000\n17011 25559\n43088 64621\n98088 100000\n26779 40162\n22898 34362\n19427 29209\n70988 100000\n17550 26372\n49520 74223\n56023 84019\n64746 97107\n53025 79472\n3609 5433\n23991 36006\n74113 100000\n61322 91991\n19543 29383\n12761 19150\n86716 100000\n43494 65245\n24030 36063\n45565 68341\n78101 100000\n83945 100000\n70777 100000\n3727 5616\n34943 52409\n5205 7828\n6093 9164\n4621 6958\n68243 100000\n20445 30725\n82344 100000\n12670 19017\n82117 100000\n17302 26010\n55185 82756\n54266 81332\n74978 100000\n71395 100000\n41626 62434\n83807 100000\n97541 100000\n31766 47664\n6433 9689\n52240 78289\n44794 67179\n87764 100000\n76874 100000\n55720 83568\n11101 16663\n8622 12936\n99439 100000\n44667 66986\n86832 100000\n91151 100000\n48805 73150\n31902 47864\n38873 58284\n57863 86772\n37015 55501\n25075 37635\n81188 100000\n22915 34387\n20284 30492\n17224 25887\n64992 97481\n85079 100000\n30952 46456\n53452 80119\n81666 100000\n14875 22377\n51449 77115\n13189 19810\n90399 100000\n39646 59449\n16579 24929\n48755 73079\n36592 54868\n23554 35340\n32830 49245\n16154 24288\n9150 13717\n32398 48607\n55214 82801\n65052 97571\n56234 84340\n59329 88990\n79820 100000\n62618 93942\n64426 96625\n44186 66271\n77883 100000\n36789 55176\n77986 100000\n70068 100000\n37674 56493\n89762 100000\n24266 36414\n28294 42432\n86857 100000\n9206 13805\n2609 3932\n3879 5838\n49908 74818\n34191 51269\n94407 100000\n75596 100000\n13063 19614\n67827 100000\n38059 57072\n65517 98275\n29029 43543\n82063 100000\n93181 100000\n42971 64448\n15645 23540\n91867 100000\n51701 77480\n72113 100000\n5444 8184\n60731 91100\n17346 26076\n47205 70760\n78260 100000\n27112 40646\n70094 100000\n7381 11095\n61486 92235\n13291 19956\n65801 98711\n87561 100000\n87050 100000\n56741 85093\n39064 58558\n78245 100000\n60130 90221\n37935 56885\n7361 11063\n99191 100000\n69334 100000\n877 1331\n35855 53758\n85661 100000\n14834 22316\n20508 30821\n31436 47166\n36228 54312\n83095 100000\n49574 74307\n11082 16633\n77634 100000\n41336 62001\n67633 100000\n606 929\n30962 46473\n82269 100000\n76892 100000\n4921 7401\n71231 100000\n66799 100000\n86074 100000\n85506 100000\n42698 64034\n52414 78554\n77371 100000\n88918 100000\n61484 92231\n89896 100000\n27523 41273\n88909 100000\n22524 33808\n72738 100000\n33929 50879\n86926 100000\n70810 100000\n50868 76263\n22517 33798\n17820 26775\n87132 100000\n69636 100000\n31174 46788\n82605 100000\n384 589\n10607 15910\n71984 100000\n57365 86042\n13599 20438\n90239 100000\n75768 100000\n48950 73372\n9532 14303\n54786 82138\n91278 100000\n10502 15759\n90566 100000\n64188 96270\n85896 100000\n35568 53329\n8554 12831\n3721 5606\n53967 80889\n59116 88666\n3550 5347\n57443 86160\n86266 100000\n40807 61203\n55831 83730\n32742 49115\n85572 100000\n18348 27565\n14887 22393\n36900 55331\n92838 100000\n79859 100000\n90950 100000\n55986 83960\n33033 49541\n55331 82973\n54959 82399\n81129 100000\n56687 85020\n71765 100000\n70128 100000\n408 627\n77071 100000\n7481 11243\n63064 94608\n5035 7571\n92545 100000\n85882 100000\n14417 21674\n57681 86514\n44269 66394\n66693 100000\n2140 3211\n8844 13271\n12516 18778\n29071 43598\n61096 91654\n37947 56904\n83169 100000\n3341 5042\n64807 97200\n69199 100000\n64229 96333\n64835 97237\n4969 7475\n69288 100000\n23004 34515\n9495 14243\n29838 44743\n3299 4980\n88833 100000\n27694 41525\n62520 93799\n60776 91173\n36010 53987\n46034 69031\n53472 80147\n80611 100000\n56255 84374\n48485 72663\n24501 36762\n76210 100000\n86991 100000\n63977 95935\n10781 16168\n3708 5584\n7070 10631\n61709 92563\n95178 100000\n1895 2853\n58102 87141\n29863 44780\n3539 5333\n47873 71736\n28115 42161\n74759 100000\n56238 84346\n38144 57197\n19141 28783\n18981 28543\n28548 42815\n19985 30047\n47465 71133\n42239 63365\n14250 21425\n35842 53735\n89917 100000\n48075 72041\n69261 100000\n71519 100000\n16869 25356\n30195 45286\n89302 100000\n13560 20372\n20649 31030\n79370 100000\n23769 35663\n27143 40692\n73428 100000\n89876 100000\n12142 18225\n37687 56512\n86960 100000\n86901 100000\n37213 55795\n38166 57234\n93174 100000\n6432 9688\n66827 100000\n93380 100000\n47221 70782\n54109 81097\n51042 76521\n22606 33933\n93144 100000\n87848 100000\n54030 80979\n15400 23174\n16912 25418\n19474 29284\n3241 4890\n32902 49349\n50414 75580\n965 1465\n60418 90642\n95251 100000\n37367 56026\n33662 50479\n67094 100000\n87074 100000\n36595 54873\n19711 29637\n78003 100000\n24250 36387\n27705 41543\n50793 76148\n42349 63519\n10483 15730\n48238 72283\n37593 56368\n24254 36393\n2203 3311\n76810 100000\n42072 63105\n96432 100000\n14869 22367\n47150 70676\n96971 100000\n70776 100000\n3502 5279\n50902 76314\n34976 52460\n1034 1561\n87365 100000\n64808 97202\n61132 91706\n84544 100000\n97330 100000\n24049 36091\n163 250\n66169 99272\n15459 23263\n67666 100000\n13329 20017\n98574 100000\n41125 61676\n80146 100000\n78209 100000\n59982 90000\n87817 100000\n35400 53085\n68996 100000\n92758 100000\n97957 100000\n63505 95241\n58943 88408\n7154 10759\n25162 37762\n81221 100000\n43750 65625\n50235 75302\n63572 95333\n3513 5293\n69327 100000\n82496 100000\n93503 100000\n31882 47835\n29691 44520\n4477 6736\n74479 100000\n62125 93184\n75133 100000\n62115 93169\n96665 100000\n32330 48502\n73091 100000\n59299 88944\n15232 22916\n12489 18739\n55824 83719\n13327 20014\n70320 100000\n31263 46913\n2039 3064\n95403 100000\n90570 100000\n31312 46988\n86972 100000\n17095 25684\n1251 1895\n87101 100000\n17736 26646\n90409 100000\n31969 47966\n98237 100000\n14186 21334\n29040 43558\n15058 22659\n38840 58235\n18853 28351\n21835 32803\n51127 76650\n56423 84628\n78552 100000\n21187 31843\n53881 80755\n90657 100000\n84514 100000\n65766 98657\n68342 100000\n44093 66128\n12067 18116\n68857 100000\n17493 26287\n88804 100000\n25496 38252\n39795 59667\n89470 100000\n84462 100000\n97058 100000\n32300 48456\n32536 48809\n59186 88774\n85219 100000\n84367 100000\n90709 100000\n42295 63441\n78353 100000\n92104 100000\n39271 58877\n75706 100000\n18309 27508\n88453 100000\n62633 93965\n24783 37185\n57824 86722\n52373 78489\n99940 100000\n52329 78422\n93419 100000\n74398 100000\n44309 66453\n5741 8623\n71006 100000\n11426 17149\n71195 100000\n16130 24248\n7965 11964\n36087 54100\n59956 89959\n93455 100000\n49601 74349\n44040 66055\n61009 91526\n64595 96879\n96973 100000\n24189 36300\n91021 100000\n18812 28290\n75604 100000\n62223 93343\n95015 100000\n63847 95744\n28214 42311\n32135 48216\n81471 100000\n86050 100000\n70628 100000\n45599 68393\n88366 100000\n32460 48696\n14003 21053\n43847 65763\n17448 26223\n18330 27539\n76342 100000\n31221 46859\n15559 23412\n26270 39413\n32059 48104\n9156 13726\n77227 100000\n2511 3783\n52521 78712\n6474 9741\n54909 82323\n84270 100000\n40289 60412\n21488 32301\n17690 26577\n12198 18316\n2204 3312\n72070 100000\n19307 29020\n35738 53578\n47330 70948\n54016 80959\n96212 100000\n76725 100000\n70172 100000\n75808 100000\n45874 68792\n84045 100000\n33879 50811\n48026 71969\n73659 100000\n90264 100000\n93083 100000\n29690 44518\n461 707\n5144 7739\n55618 83417\n46857 70233\n87439 100000\n97187 100000\n64610 96902\n52018 77965\n62417 93643\n75311 100000\n24990 37499\n44803 67192\n80923 100000\n58169 87243\n16051 24134\n99591 100000\n64347 96508\n79249 100000\n54828 82204\n14551 21876\n71472 100000\n71331 100000\n57739 86596\n77571 100000\n73642 100000\n33974 50945\n49732 74552\n71934 100000\n64909 97352\n41652 62476\n57667 86494\n53635 80390\n83637 100000\n63000 94509\n80405 100000\n21385 32142\n17077 25656\n14297 21496\n4299 6471\n50906 76320\n66207 99327\n83749 100000\n60057 90109\n75928 100000\n42493 63736\n62432 93666\n87692 100000\n40950 61414\n20258 30454\n83258 100000\n19043 28633\n12539 18812\n35180 52763\n99012 100000\n89799 100000\n52325 78418\n82728 100000\n47303 70905\n72663 100000\n69644 100000\n75018 100000\n12359 18549\n21505 32323\n12171 18270\n72083 100000\n27320 40956\n13659 20528\n38629 57922\n1598 2411\n79533 100000\n91454 100000\n66970 100000\n10397 15602\n36453 54658\n51328 76940\n39727 59569\n4414 6644\n22849 34284\n34855 52283\n10503 15760\n38229 57328\n9582 14379\n86657 100000\n23338 35024\n84560 100000\n19581 29441\n77369 100000\n23551 35335\n22436 33676\n26125 39196\n17116 25715\n82776 100000\n37781 56655\n14349 21575\n54144 81154\n80532 100000\n3409 5146\n9418 14125\n14923 22448\n45001 67486\n29008 43509\n28999 43498\n15148 22794\n59768 89679\n96868 100000\n14844 22331\n20 33\n54032 80983\n48265 72324\n5288 7950\n81312 100000\n90265 100000\n78099 100000\n74242 100000\n55569 83339\n44408 66601\n64307 96450\n20234 30420\n39088 58592\n49537 74252\n58060 87078\n42538 63801\n41576 62361\n31932 47907\n81130 100000\n8160 12252\n76092 100000\n41319 61980\n84663 100000\n8439 12666\n35353 53010\n91026 100000\n81248 100000\n29319 43978\n13647 20510\n37630 56427\n43399 65102\n80557 100000\n23460 35203\n35794 53663\n88862 100000\n76918 100000\n22883 34339\n17933 26943\n43291 64938\n48276 72343\n90881 100000\n48863 73239\n27722 41572\n68232 100000\n9375 14065\n74120 100000\n34562 51832\n28748 43122\n44847 67257\n39726 59567\n74029 100000\n24592 36895\n37652 56461\n63369 95043\n9382 14075\n35656 53459\n97162 100000\n89629 100000\n87189 100000\n11630 17454\n78320 100000\n26713 40064\n64427 96627\n98802 100000\n39187 58736\n8015 12032\n60010 90039\n69951 100000\n10993 16492\n34995 52487\n81309 100000\n923 1403\n68896 100000\n74616 100000\n16589 24944\n7275 10939\n46553 69789\n1267 1920\n34436 51640\n65261 97882\n7338 11033\n80460 100000\n78261 100000\n48488 72667\n49341 73952\n75769 100000\n36983 55454\n31331 47014\n15608 23483\n43598 65397\n26833 40238\n35547 53298\n12583 18881\n70521 100000\n18833 28319\n76061 100000\n55473 83190\n15582 23443\n11450 17187\n84275 100000\n71982 100000\n31187 46809\n95168 100000\n4767 7180\n2702 4067\n82654 100000\n32277 48425\n86114 100000\n77396 100000\n5349 8044\n82554 100000\n73296 100000\n84012 100000\n83467 100000\n83717 100000\n99578 100000\n68003 100000\n97738 100000\n73930 100000\n30973 46493\n53879 80753\n99588 100000\n60801 91209\n1845 2778\n49407 74050\n27718 41565\n34703 52049\n68583 100000\n71355 100000\n73898 100000\n30711 46085\n58430 87649\n65101 97645\n60698 91053\n67747 100000\n86979 100000\n99130 100000\n95638 100000\n81665 100000\n5378 8086\n89737 100000\n25991 38991\n31173 46786\n15402 23177\n63699 95523\n96858 100000\n57210 85800\n89670 100000\n91226 100000\n31891 47849\n3853 5798\n40994 61479\n8915 13377\n2766 4170\n10948 16422\n13833 20793\n70962 100000\n13819 20774\n49776 74623\n68826 100000\n18132 27239\n61437 92162\n5955 8952\n64145 96206\n19712 29639\n74068 100000\n58564 87838\n12133 18210\n97414 100000\n81699 100000\n68869 100000\n72177 100000\n13785 20719\n78427 100000\n18404 27649\n5555 8348\n97972 100000\n29394 44092\n11723 17597\n81077 100000\n76228 100000\n17981 27012\n5133 7723\n15033 22615\n98039 100000\n22540 33830\n63423 95120\n40087 60107\n98577 100000\n81711 100000\n21576 32426\n10351 15532\n86259 100000\n21757 32686\n7144 10745\n90082 100000\n11546 17331\n53506 80199\n46059 69070\n89303 100000\n45622 68425\n44152 66221\n11311 16979\n66855 100000\n53595 80325\n83097 100000\n19475 29285\n47121 70631\n30868 46325\n18675 28070\n92066 100000\n79730 100000\n28739 43107\n46165 69223\n87492 100000\n86643 100000\n12726 19096\n27565 41333\n75535 100000\n35785 53650\n39387 59053\n60556 90842\n92853 100000\n85409 100000\n98558 100000\n82725 100000\n26794 40184\n12645 18976\n73775 100000\n69781 100000\n58367 87552\n958 1453\n57503 86248\n62200 93306\n83324 100000\n32850 49270\n66479 99736\n1115 1681\n31991 48002\n14739 22177\n41035 61542\n3478 5246\n78073 100000\n96031 100000\n91664 100000\n27236 40831\n85958 100000\n36407 54592\n1096 1654\n70787 100000\n66191 99303\n49577 74313\n15842 23822\n99532 100000\n42152 63228\n8895 13345\n14098 21201\n51161 76698\n80506 100000\n21674 32559\n66952 100000\n48847 73215\n88869 100000\n44842 67248\n52760 79071\n83957 100000\n13863 20840\n1259 1908\n76299 100000\n16838 25310\n85137 100000\n79473 100000\n65970 98967\n47360 70989\n59383 89069\n83059 100000\n96473 100000\n88464 100000\n99692 100000\n30979 46501\n407 626\n15299 23023\n40444 60645\n46090 69113\n52477 78645\n12724 19093\n33494 50225\n6298 9485\n32527 48796\n19090 28704\n2772 4179\n13272 19928\n99235 100000\n29282 43917\n1382 2092\n29703 44539\n17785 26725\n25039 37571\n78570 100000\n59044 88559\n12139 18220\n93297 100000\n92916 100000\n14390 21635\n98096 100000\n39936 59879\n7661 11514\n41729 62594\n45169 67746\n83796 100000\n33402 50086\n25026 37552\n47352 70980\n17216 25873\n46299 69415\n19379 29138\n21370 32119\n56830 85231\n31029 46574\n2879 4345\n65075 97606\n11139 16717\n93585 100000\n91546 100000\n83286 100000\n33374 50042\n17805 26755\n67852 100000\n23915 35885\n65948 98935\n51358 76985\n39800 59673\n25093 37662\n92657 100000\n48356 72463\n27978 41962\n58026 87023\n49007 73454\n10765 16144\n78118 100000\n86846 100000\n83728 100000\n83293 100000\n69573 100000\n99947 100000\n46193 69261\n26109 39174\n80278 100000\n19639 29526\n65363 98048\n17121 25725\n37915 56852\n85499 100000\n30619 45945\n68908 100000\n80082 100000\n7801 11717\n53983 80913\n66549 99837\n26065 39108\n57353 86024\n34690 52029\n32933 49395\n97890 100000\n73793 100000\n6077 9141\n55374 83038\n14062 21147\n17560 26385\n28009 42006\n13864 20842\n66779 100000\n51888 77765\n31938 47917\n86414 100000\n95823 100000\n92700 100000\n7972 11973\n929 1413\n80145 100000\n85708 100000\n78095 100000\n60423 90649\n99257 100000\n10220 15341\n38647 57950\n57382 86071\n74297 100000\n85390 100000\n89603 100000\n47674 71449\n93811 100000\n7656 11507\n20225 30407\n97849 100000\n96293 100000\n81668 100000\n63322 94971\n95529 100000\n65333 97997\n73074 100000\n72461 100000\n14972 22522\n1167 1767\n39351 59001\n17176 25816\n16349 24579\n40365 60526\n50870 76266\n4052 6090\n93606 100000\n28727 43088\n53321 79932\n27807 41705\n98174 100000\n2141 3213\n90920 100000\n6349 9568\n6744 10141\n27106 40637\n62198 93302\n63155 94738\n36102 54125\n20206 30380\n1367 2070\n36409 54594\n2502 3772\n69639 100000\n80829 100000\n16828 25297\n43590 65385\n88454 100000\n4449 6699\n54831 82208\n41230 61840\n90226 100000\n67168 100000\n44890 67324\n69348 100000\n81595 100000\n95987 100000\n44555 66818\n49906 74814\n12605 18913\n74280 100000\n97010 100000\n13487 20261\n48247 72296\n68422 100000\n36705 55036\n1578 2385\n14858 22351\n57483 86218\n23816 35732\n25720 38581\n10345 15525\n49854 74740\n99761 100000\n52836 79190\n66522 99799\n78781 100000\n5373 8081\n96219 100000\n84721 100000\n46015 68998\n20218 30398\n43659 65486\n29520 44273\n46612 69876\n51015 76478\n63196 94792\n71397 100000\n51924 77818\n70661 100000\n75409 100000\n62778 94183\n7616 11444\n22750 34143\n53550 80260\n50100 75093\n94079 100000\n64326 96476\n22167 33291\n98865 100000\n93258 100000\n92006 100000\n59577 89375\n28808 43212\n75052 100000\n75936 100000\n23403 35120\n13969 21002\n99768 100000\n69571 100000\n3941 5933\n22665 34024\n52876 79249\n18695 28106\n65592 98390\n23911 35880\n20687 31090\n88989 100000\n15353 23104\n51798 77629\n77606 100000\n72823 100000\n53549 80259\n2706 4075\n32628 48940\n7038 10583\n52250 78303\n44817 67209\n8931 13398\n20428 30703\n47969 71885\n42672 63996\n24106 36179\n17351 26081\n18801 28273\n28858 43288\n43671 65507\n25528 38293\n39713 59550\n40152 60205\n39479 59190\n43192 64780\n87259 100000\n55896 83827\n63494 95225\n98071 100000\n42715 64061\n2488 3746\n78714 100000\n8992 13485\n16994 25534\n50549 75779\n6253 9417\n45463 68184\n95376 100000\n45192 67780\n66277 99435\n87205 100000\n60981 91483\n59604 89419\n3623 5453\n86504 100000\n59738 89633\n53812 80649\n22676 34037\n83681 100000\n31044 46597\n48555 72772\n96734 100000\n70609 100000\n2021 3040\n97124 100000\n6482 9754\n78750 100000\n96228 100000\n16124 24241\n29464 44187\n43261 64887\n62910 94377\n61353 92039\n9320 13986\n16995 25536\n39710 59545\n835 1270\n21250 31942\n19556 29404\n63141 94718\n55802 83692\n34275 51393\n90270 100000\n98679 100000\n26488 39736\n967 1468\n42475 63709\n99697 100000\n45516 68265\n76479 100000\n56729 85076\n4992 7509\n24661 36998\n4134 6220\n31958 47949\n70679 100000\n47013 70471\n97882 100000\n31502 47264\n86355 100000\n76616 100000\n7205 10834\n44166 66239\n61479 92224\n7992 12002\n60886 91341\n93097 100000\n58644 87958\n46225 69305\n21627 32494\n84444 100000\n2006 3015\n29426 44135\n21514 32336\n25483 38232\n94693 100000\n90198 100000\n32191 48295\n7450 11194\n79609 100000\n25968 38959\n87825 100000\n56881 85302\n82018 100000\n15086 22703\n65652 98484\n3973 5973\n38932 58366\n94427 100000\n41942 62921\n28567 42842\n87727 100000\n7356 11057\n26066 39109\n2081 3123\n63092 94651\n80798 100000\n80810 100000\n75764 100000\n41855 62794\n79405 100000\n26132 39206\n58475 87714\n52157 78167\n10561 15839\n66637 99966\n98013 100000\n24608 36916\n59465 89201\n95339 100000\n69452 100000\n25859 38797\n71516 100000\n20779 31233\n66163 99265\n7951 11944\n7821 11748\n96941 100000\n99057 100000\n45168 67744\n8425 12647\n22562 33867\n86820 100000\n1085 1639\n61773 92662\n33193 49777\n22503 33777\n5668 8518\n52173 78192\n24737 37113\n80931 100000\n90131 100000\n98010 100000\n26621 39938\n31739 47627\n30946 46447\n44788 67172\n92546 100000\n92421 100000\n56357 84524\n95514 100000\n11320 16993\n52044 78006\n40273 60389\n97870 100000\n59384 89071\n61490 92241\n68941 100000\n39221 58798\n70456 100000\n3616 5444\n92829 100000\n76112 100000\n11817 17738\n22438 33679\n37823 56714\n51952 77862\n95872 100000\n16924 25437\n22177 33306\n91062 100000\n55256 82861\n9494 14241\n86749 100000\n27003 40479\n18000 27043\n84619 100000\n34870 52305\n66771 100000\n1538 2327\n20015 30092\n58274 87405\n50923 76343\n62732 94110\n1215 1841\n73174 100000\n52553 78760\n17451 26226\n2779 4192\n7809 11729\n46349 69489\n8189 12296\n36309 54440\n77238 100000\n66845 100000\n54615 81872\n4792 7215\n41304 61958\n2027 3047\n49662 74444\n23625 35444\n64391 96573\n4086 6147\n20412 30679\n35470 53192\n7824 11753\n93075 100000\n34179 51252\n54983 82438\n18796 28265\n99414 100000\n47482 71157\n61967 92965\n95031 100000\n14583 21923\n32218 48333\n4066 6115\n57950 86907\n1824 2742\n32309 48470\n57291 85928\n81758 100000\n89643 100000\n1366 2069\n72569 100000\n15574 23432\n6441 9698\n90772 100000\n92099 100000\n99552 100000\n67380 100000\n82779 100000\n33257 49872\n11645 17479\n48857 73231\n92105 100000\n14674 22071\n37934 56883\n95361 100000\n55615 83412\n56064 84079\n84864 100000\n26347 39530\n60593 90898\n76875 100000\n89269 100000\n23677 35523\n20414 30682\n8614 12923\n82131 100000\n89809 100000\n49051 73522\n92667 100000\n45196 67784\n5753 8644\n4988 7505\n70910 100000\n40080 60098\n15588 23454\n50207 75260\n32632 48947\n77799 100000\n76803 100000\n55165 82726\n83485 100000\n63914 95851\n52701 78982\n37242 55842\n22577 33890\n62500 93767\n66364 99563\n67715 100000\n88164 100000\n71802 100000\n92661 100000\n16970 25501\n74429 100000\n85068 100000\n47427 71080\n85987 100000\n74640 100000\n45668 68493\n18797 28266\n75107 100000\n86166 100000\n32731 49099\n59469 89209\n8677 13021\n70143 100000\n55223 82813\n45802 68685\n56532 84790\n51868 77737\n45827 68722\n74871 100000\n10379 15574\n33792 50678\n68081 100000\n25809 38723\n56304 84448\n67399 100000\n95480 100000\n83334 100000\n52431 78580\n88152 100000\n86393 100000\n64475 96698\n1482 2244\n74826 100000\n13225 19864\n78534 100000\n14117 21229\n73261 100000\n18284 27471\n21209 31877\n82640 100000\n25235 37869\n72775 100000\n89108 100000\n37207 55787\n59320 88976\n19016 28594\n19490 29307\n60754 91140\n66942 100000\n2300 3457\n15172 22828\n55702 83540\n13219 19856\n73988 100000\n46627 69896\n85112 100000\n71464 100000\n37508 56238\n69522 100000\n90245 100000\n9378 14069\n31228 46868\n40745 61103\n56854 85266\n23566 35361\n85417 100000\n17692 26581\n10871 16309\n2902 4379\n93825 100000\n9502 14255\n58523 87784\n40216 60307\n97867 100000\n48557 72775\n44307 66450\n7777 11684\n74667 100000\n65710 98569\n52592 78820\n55395 83069\n6689 10061\n72781 100000\n42979 64459\n22600 33922\n37302 55932\n27110 40642\n61788 92684\n90998 100000\n92671 100000\n15866 23855\n89257 100000\n35363 53025\n22996 34503\n27130 40672\n84620 100000\n42809 64207\n78687 100000\n97555 100000\n28967 43452\n5471 8223\n27778 41659\n14644 22025\n62032 93056\n81349 100000\n8366 12560\n70632 100000\n97981 100000\n34164 51230\n17816 26770\n66187 99298\n5577 8385\n60470 90722\n17792 26736\n15019 22593\n14743 22183\n81321 100000\n59484 89233\n85306 100000\n88312 100000\n99146 100000\n78637 100000\n17136 25750\n80882 100000\n7527 11314\n1550 2347\n30655 45998\n2505 3776\n58455 87690\n48669 72942\n69632 100000\n7778 11685\n39251 58847\n8803 13209\n919 1397\n99357 100000\n80010 100000\n15959 23994\n6011 9037\n55089 82608\n42791 64179\n84264 100000\n70136 100000\n28420 42623\n8756 13137\n23796 35702\n40753 61115\n13404 20132\n94928 100000\n34244 51348\n18711 28132\n97728 100000\n75063 100000\n64087 96114\n16875 25364\n25116 37695\n44243 66352\n85455 100000\n63817 95698\n28486 42727\n53951 80865\n9209 13810\n93737 100000\n51747 77550\n64802 97192\n31755 47648\n17114 25712\n54215 81257\n79169 100000\n74361 100000\n45683 68514\n54148 81158\n59478 89222\n79115 100000\n27183 40750\n71260 100000\n58281 87418\n77968 100000\n76473 100000\n42480 63717\n77087 100000\n75711 100000\n24351 36546\n49269 73839\n38678 57999\n95507 100000\n5036 7573\n94179 100000\n13678 20558\n29100 43639\n35505 53237\n64215 96312\n49241 73800\n43935 65896\n83414 100000\n90386 100000\n73077 100000\n75076 100000\n45444 68155\n86699 100000\n80329 100000\n69445 100000\n22983 34486\n52081 78062\n91333 100000\n81337 100000\n86737 100000\n4384 6601\n10966 16449\n47064 70547\n61692 92538\n77098 100000\n44711 67058\n850 1292\n12541 18815\n46590 69842\n27991 41977\n15419 23202\n50074 75053\n76371 100000\n89140 100000\n49885 74787\n30702 46071\n46077 69095\n74634 100000\n63528 95273\n17421 26183\n1162 1759\n19719 29649\n97274 100000\n18633 28003\n77065 100000\n97194 100000\n59082 88615\n82647 100000\n36292 54415\n44984 67458\n80573 100000\n55524 83269\n11436 17165\n25638 38455\n98294 100000\n28833 43247\n29142 43705\n3582 5393\n37766 56630\n18998 28567\n92656 100000\n73620 100000\n84896 100000\n71449 100000\n46309 69431\n4808 7238\n91367 100000\n22525 33809\n48298 72376\n42549 63818\n53468 80143\n54425 81589\n52298 78380\n32756 49133\n13208 19841\n27266 40875\n56593 84882\n189 288\n86474 100000\n49540 74257\n6662 10020\n64389 96570\n21876 32867\n73347 100000\n17126 25734\n37424 56112\n53716 80507\n12325 18496\n61638 92459\n72550 100000\n96451 100000\n17534 26348\n50883 76283\n50033 74999\n30160 45232\n45673 68500\n42171 63256\n58461 87697\n88937 100000\n50956 76392\n67147 100000\n46050 69057\n61500 92253\n26219 39337\n97063 100000\n5493 8254\n90620 100000\n56144 84201\n99854 100000\n32696 49049\n72834 100000\n48135 72130\n13631 20487\n30568 45865\n63859 95763\n77221 100000\n89389 100000\n32766 49149\n19408 29181\n99567 100000\n78790 100000\n51183 76733\n33339 49991\n82150 100000\n27697 41530\n68831 100000\n22133 33242\n35011 52514\n62151 93225\n58888 88325\n53658 80422\n47075 70564\n11009 16519\n35032 52543\n20147 30288\n12529 18796\n95972 100000\n88010 100000\n96003 100000\n134 206\n54659 81942\n5623 8452\n71592 100000\n24158 36251\n30900 46372\n4887 7348\n42356 63531\n80276 100000\n65250 97867\n47373 71010\n89406 100000\n10492 15744\n78528 100000\n46705 70009\n30464 45699\n47122 70632\n55652 83464\n33574 50346\n46599 69856\n97210 100000\n3473 5239\n2205 3313\n10567 15848\n9892 14851\n46098 69125\n97836 100000\n31730 47613\n49139 73653\n6875 10332\n70727 100000\n24518 36788\n24969 37467\n27953 41927\n5777 8680\n4394 6616\n20178 30333\n80833 100000\n51195 76748\n52404 78539\n65021 97520\n52284 78356\n85109 100000\n65108 97653\n5909 8883\n58903 88348\n45329 67990\n23042 34578\n70413 100000\n73504 100000\n9397 14096\n31421 47144\n82662 100000\n92454 100000\n12420 18637\n25275 37928\n35327 52973\n94487 100000\n10012 15028\n40464 60678\n63145 94724\n60463 90712\n5665 8514\n71045 100000\n27068 40580\n49868 74762\n43244 64862\n64031 96029\n88696 100000\n90543 100000\n30954 46459\n60442 90682\n16008 24069\n68623 100000\n80353 100000\n96281 100000\n16092 24194\n67095 100000\n72412 100000\n37310 55943\n84053 100000\n4948 7447\n89096 100000\n58343 87517\n50636 75913\n99215 100000\n10560 15838\n74861 100000\n68445 100000\n88062 100000\n86280 100000\n67903 100000\n83499 100000\n30324 45474\n91729 100000\n2467 3716\n33897 50834\n76463 100000\n16282 24478\n75908 100000\n12749 19134\n35332 52980\n94975 100000\n21130 31759\n92086 100000\n97304 100000\n42616 63919\n85930 100000\n92958 100000\n28377 42560\n82673 100000\n83656 100000\n71339 100000\n3384 5108\n60437 90673\n60657 90990\n66551 99840\n87180 100000\n4764 7174\n12502 18760\n61844 92776\n90406 100000\n93747 100000\n41758 62642\n91797 100000\n44660 66976\n19582 29443\n65742 98621\n61320 91988\n99843 100000\n75438 100000\n50921 76341\n6076 9140\n36657 54968\n32222 48340\n4872 7327\n17759 26683\n82220 100000\n23973 35979\n63646 95448\n54253 81310\n6913 10389\n57917 86856\n44782 67162\n36920 55360\n50587 75836\n43846 65761\n33532 50281\n30825 46259\n66984 100000\n73413 100000\n56692 85027\n52637 78888\n98060 100000\n64152 96215\n36330 54474\n90886 100000\n60796 91202\n25985 38983\n18212 27363\n72192 100000\n85610 100000\n97148 100000\n76451 100000\n42543 63808\n42418 63627\n24993 37503\n1323 2007\n28550 42817\n69098 100000\n26698 40044\n6670 10032\n36427 54619\n40974 61449\n15991 24043\n79923 100000\n60446 90688\n53156 79669\n45795 68673\n23939 35922\n76015 100000\n70152 100000\n21967 32993\n46364 69509\n29905 44842\n53739 80540\n24899 37356\n20018 30096\n64129 96180\n13672 20548\n44185 66270\n91949 100000\n75544 100000\n38610 57896\n2660 4006\n21660 32538\n71423 100000\n54542 81766\n47684 71462\n57027 85528\n6876 10334\n17727 26632\n71208 100000\n87111 100000\n63546 95296\n14261 21441\n5885 8848\n11476 17228\n55736 83591\n33096 49636\n57072 85594\n34317 51455\n16645 25029\n41820 62740\n46688 69984\n72275 100000\n67090 100000\n65422 98136\n24849 37286\n52046 78010\n61574 92362\n91076 100000\n47475 71150\n70926 100000\n28479 42716\n91397 100000\n33306 49941\n81323 100000\n62372 93575\n67858 100000\n42107 63156\n87949 100000\n22513 33792\n38088 57114\n19317 29038\n88367 100000\n11737 17616\n7582 11396\n54053 81017\n49158 73681\n98361 100000\n68618 100000\n18934 28474\n13171 19782\n92550 100000\n85678 100000\n66395 99610\n29952 44916\n48161 72170\n74466 100000\n26639 39967\n21862 32847\n23670 35512\n51039 76517\n74896 100000\n77815 100000\n63556 95310\n15887 23890\n14560 21889\n44239 66347\n26335 39513\n66140 99231\n14977 22530\n61069 91613\n31126 46713\n72384 100000\n44280 66411\n65130 97684\n44879 67309\n62300 93460\n50198 75247\n33981 50955\n20920 31451\n40269 60383\n49361 73980\n17272 25961\n71451 100000\n66664 100000\n98686 100000\n95648 100000\n83475 100000\n71307 100000\n1045 1579\n68364 100000\n77494 100000\n26997 40470\n96717 100000\n5092 7661\n94297 100000\n42186 63282\n57713 86560\n74989 100000\n81628 100000\n10771 16153\n8964 13445\n73606 100000\n25110 37685\n12081 18137\n33778 50653\n64737 97094\n10045 15076\n42866 64292\n1416 2142\n73999 100000\n42565 63843\n92185 100000\n3056 4611\n83986 100000\n88467 100000\n93637 100000\n85655 100000\n27956 41931\n54526 81740\n75086 100000\n37735 56582\n40920 61368\n87115 100000\n41264 61895\n81195 100000\n88352 100000\n59095 88632\n75548 100000\n50014 74968\n4996 7515\n64158 96224\n5295 7961\n31900 47862\n28512 42765\n648 989\n52087 78068\n98373 100000\n17211 25865\n32989 49478\n37440 56136\n87303 100000\n12870 19315\n94648 100000\n73002 100000\n85905 100000\n37387 56055\n31705 47572\n24039 36075\n72014 100000\n3996 6005\n49119 73623\n87913 100000\n63495 95227\n91935 100000\n51503 77188\n2317 3485\n11701 17568\n52371 78486\n70108 100000\n34518 51767\n22403 33626\n60472 90724\n56121 84167\n94988 100000\n10516 15775\n66405 99624\n94409 100000\n69698 100000\n14244 21416\n70927 100000\n33537 50289\n60109 90192\n97312 100000\n59343 89009\n75572 100000\n69856 100000\n38057 57069\n75112 100000\n46567 69809\n46404 69569\n98879 100000\n3467 5230\n18363 27587\n12376 18573\n88318 100000\n75129 100000\n41760 62644\n10786 16176\n6312 9509\n88077 100000\n42604 63903\n48686 72972\n12702 19062\n14495 21790\n65147 97713\n94400 100000\n96114 100000\n66331 99512\n80726 100000\n18916 28446\n66345 99532\n97854 100000\n62970 94464\n95263 100000\n34531 51788\n5095 7666\n6777 10189\n98142 100000\n5431 8163\n83567 100000\n44313 66459\n64742 97101\n50586 75834\n11249 16880\n72853 100000\n4589 6909\n27026 40518\n48106 72088\n35053 52572\n99637 100000\n20902 31422\n10802 16201\n78921 100000\n29271 43900\n57775 86649\n8757 13138\n58123 87175\n60356 90550\n70130 100000\n44856 67271\n22865 34313\n93201 100000\n39736 59582\n16108 24217\n45921 68858\n78359 100000\n60439 90677\n81919 100000\n48322 72411\n87489 100000\n69942 100000\n1846 2779\n82644 100000\n26535 39808\n11803 17718\n82130 100000\n38438 57642\n4199 6321\n14008 21061\n55343 82991\n42056 63082\n37124 55662\n65540 98312\n94523 100000\n17873 26851\n40079 60096\n19454 29248\n40392 60569\n67610 100000\n16380 24628\n39063 58556\n83066 100000\n99427 100000\n42634 63943\n20841 31325\n77916 100000\n19195 28860\n84181 100000\n45187 67774\n92732 100000\n14874 22376\n35139 52701\n64003 95982\n86917 100000\n82094 100000\n8331 12507\n60132 90223\n98759 100000\n27277 40892\n57236 85838\n54068 81037\n99494 100000\n8889 13337\n65783 98684\n11360 17049\n95664 100000\n14695 22107\n52149 78156\n96177 100000\n53895 80779\n98466 100000\n24556 36842\n65610 98419\n50051 75023\n73852 100000\n77982 100000\n74028 100000\n4147 6240\n96795 100000\n85180 100000\n11489 17243\n36867 55282\n45337 68000\n99712 100000\n57153 85712\n53971 80895\n74179 100000\n29343 44019\n22598 33920\n68823 100000\n31236 46878\n63330 94986\n26374 39567\n57185 85760\n1621 2444\n80997 100000\n61953 92943\n94545 100000\n93299 100000\n80986 100000\n52152 78160\n81851 100000\n26089 39145\n36434 54628\n19126 28758\n97812 100000\n91368 100000\n92904 100000\n72199 100000\n89475 100000\n96232 100000\n71329 100000\n88288 100000\n10015 15033\n26395 39598\n98173 100000\n41598 62392\n3145 4742\n76793 100000\n96606 100000\n19182 28840\n88824 100000\n78865 100000\n89892 100000\n27134 40678\n47671 71446\n27078 40596\n16596 24957\n699 1067\n55278 82895\n2171 3261\n88261 100000\n49065 73542\n85398 100000\n86117 100000\n85652 100000\n44813 67205\n49354 73971\n58645 87959\n72111 100000\n23908 35876\n78426 100000\n31137 46728\n18533 27851\n48337 72434\n6244 9402\n77849 100000\n29446 44163\n19889 29902\n31122 46705\n65049 97566\n47342 70965\n16907 25410\n57870 86784\n16826 25294\n37100 55628\n18739 28176\n37969 56933\n75454 100000\n33905 50844\n71532 100000\n96279 100000\n12703 19063\n91592 100000\n17232 25899\n31514 47283\n65375 98067\n55140 82690\n64352 96515\n23963 35964\n98159 100000\n37928 56872\n39671 59487\n72883 100000\n50122 75128\n82536 100000\n59253 88876\n73812 100000\n9113 13660\n45547 68315\n91100 100000\n48210 72240\n99229 100000\n67969 100000\n42714 64059\n43894 65831\n72156 100000\n85642 100000\n59421 89126\n86715 100000\n68170 100000\n31890 47848\n51213 76779\n51351 76976\n3472 5238\n6379 9613\n10208 15321\n63114 94682\n68166 100000\n2005 3013\n89296 100000\n15662 23562\n29478 44210\n13607 20448\n28948 43426\n47198 70750\n54665 81952\n5298 7967\n57533 86291\n24394 36610\n38413 57603\n43760 65639\n80415 100000\n85842 100000\n77774 100000\n23210 34835\n69865 100000\n61792 92689\n58708 88054\n91103 100000\n7204 10832\n77677 100000\n23503 35266\n85198 100000\n4089 6152\n35935 53876\n90107 100000\n8809 13217\n27269 40880\n48615 72866\n6780 10194\n63541 95290\n74767 100000\n61342 92022\n52733 79031\n59553 89338\n63042 94572\n71754 100000\n9354 14035\n66099 99166\n29527 44283\n63529 95274\n37216 55799\n38637 57935\n64990 97479\n90049 100000\n3055 4609\n26861 40277\n88403 100000\n86738 100000\n63365 95037\n6739 10135\n21617 32478\n28108 42154\n94909 100000\n10069 15112\n914 1389\n68518 100000\n69597 100000\n90933 100000\n2150 3227\n24602 36908\n77875 100000\n8461 12697\n69411 100000\n96465 100000\n11381 17078\n26943 40395\n90179 100000\n52905 79290\n58761 88138\n26584 39880\n25133 37719\n77019 100000\n54627 81887\n6301 9490\n36415 54601\n45042 67552\n48725 73033\n53818 80660\n6823 10257\n74191 100000\n91684 100000\n35595 53368\n54820 82191\n23950 35940\n22480 33745\n10951 16426\n86511 100000\n85128 100000\n42060 63088\n18198 27343\n49404 74045\n3263 4923\n14124 21240\n85482 100000\n1731 2606\n92321 100000\n2559 3857\n6128 9220\n90943 100000\n70208 100000\n63807 95679\n13054 19600\n22496 33768\n54906 82319\n9356 14038\n77081 100000\n54919 82341\n75407 100000\n69276 100000\n89787 100000\n92948 100000\n41956 62942\n12533 18803\n19598 29467\n95196 100000\n39645 59448\n33128 49678\n63739 95577\n41396 62090\n68787 100000\n19419 29196\n93240 100000\n10264 15410\n85410 100000\n94976 100000\n64179 96258\n25648 38473\n47670 71444\n43284 64926\n85510 100000\n35282 52908\n53777 80593\n25042 37576\n37933 56881\n54373 81504\n10239 15370\n60514 90780\n2255 3387\n19190 28852\n90636 100000\n17913 26913\n70266 100000\n11869 17815\n24448 36689\n48279 72348\n11203 16811\n92647 100000\n91734 100000\n21387 32145\n2568 3872\n85443 100000\n36229 54314\n52415 78556\n5189 7805\n71302 100000\n89374 100000\n75938 100000\n65063 97589\n47185 70730\n17980 27010\n86248 100000\n57652 86468\n94166 100000\n43 66\n44556 66820\n9730 14601\n10677 16010\n20466 30758\n61998 93008\n57273 85899\n37878 56797\n80791 100000\n31360 47055\n26313 39478\n94880 100000\n70059 100000\n16320 24540\n83868 100000\n38533 57788\n29101 43641\n59838 89780\n83350 100000\n88491 100000\n2500 3768\n19143 28786\n36089 54104\n92140 100000\n46780 70122\n71596 100000\n57249 85860\n93810 100000\n22579 33892\n91687 100000\n88056 100000\n37162 55719\n18502 27799\n94534 100000\n42973 64451\n92000 100000\n91774 100000\n62051 93083\n4425 6663\n33244 49853\n82005 100000\n31341 47027\n80819 100000\n16182 24327\n35991 53957\n56272 84397\n33214 49810\n44372 66549\n56470 84698\n5508 8275\n98489 100000\n33389 50064\n34220 51312\n54646 81918\n72627 100000\n31719 47596\n16586 24940\n5497 8259\n41583 62371\n66089 99151\n88632 100000\n41633 62446\n27029 40521\n86830 100000\n78236 100000\n21705 32603\n44360 66531\n41238 61852\n92193 100000\n55033 82524\n63238 94854\n72942 100000\n90680 100000\n99144 100000\n47051 70528\n29246 43860\n42273 63408\n46179 69242\n50052 75025\n74601 100000\n13598 20436\n96067 100000\n40125 60166\n4504 6776\n1400 2117\n88137 100000\n1062 1604\n68224 100000\n75842 100000\n3447 5201\n41233 61845\n84606 100000\n22616 33946\n8755 13135\n16688 25094\n49222 73774\n71367 100000\n55421 83106\n83006 100000\n61613 92420\n30470 45709\n22032 33090\n95231 100000\n81116 100000\n87505 100000\n59714 89592\n60918 91391\n43180 64765\n65539 98310\n22625 33962\n68983 100000\n86422 100000\n99388 100000\n62947 94428\n7630 11466\n13279 19937\n28172 42248\n11313 16981\n74392 100000\n52443 78598\n6937 10424\n35637 53431\n27360 41015\n98397 100000\n64554 96817\n1480 2240\n45705 68546\n82835 100000\n86570 100000\n70757 100000\n76322 100000\n28560 42832\n13558 20370\n63688 95508\n36559 54813\n18095 27184\n75578 100000\n57758 86624\n86137 100000\n37907 56839\n11627 17450\n6028 9062\n38788 58164\n12099 18162\n80120 100000\n23190 34803\n17817 26772\n22948 34435\n58742 88107\n81410 100000\n47105 70605\n81427 100000\n33874 50801\n24204 36321\n96656 100000\n11799 17714\n52742 79045\n13877 20862\n11453 17191\n82704 100000\n18770 28224\n50976 76420\n20146 30287\n12501 18759\n28023 42026\n38561 57827\n98081 100000\n90506 100000\n48663 72935\n64531 96782\n13402 20129\n88767 100000\n37252 55858\n58 90\n87973 100000\n40505 60740\n68473 100000\n41312 61971\n48397 72522\n61172 91769\n35283 52909\n9997 15005\n1586 2395\n3328 5022\n27689 41518\n60090 90161\n88797 100000\n92748 100000\n84938 100000\n24638 36962\n14083 21178\n2494 3758\n36100 54122\n51366 76996\n51072 76565\n66161 99263\n70504 100000\n23832 35757\n30874 46333\n44855 67269\n71305 100000\n63517 95258\n48517 72711\n3043 4590\n54950 82386\n20921 31452\n58605 87899\n30849 46292\n38132 57177\n30765 46170\n67682 100000\n18399 27644\n10828 16243\n57998 86981\n51961 77876\n41891 62847\n25068 37622\n65547 98324\n7523 11308\n20740 31171\n67234 100000\n22388 33605\n72517 100000\n16306 24519\n74474 100000\n11972 17969\n3366 5082\n10060 15098\n46087 69109\n93119 100000\n85441 100000\n17863 26838\n20378 30635\n59133 88693\n90182 100000\n25079 37641\n95375 100000\n32688 49036\n8121 12196\n56967 85437\n63373 95048\n24830 37258\n50613 75873\n5881 8843\n38467 57684\n25702 38551\n19577 29436\n59439 89159\n84855 100000\n25833 38760\n55117 82653\n53744 80548\n31241 46883\n57646 86459\n39760 59615\n60301 90464\n9704 14560\n71719 100000\n97114 100000\n68610 100000\n99701 100000\n53375 80007\n71573 100000\n16987 25525\n38162 57227\n63544 95294\n64143 96203\n599 919\n59854 89804\n40697 61025\n10355 15539\n75728 100000\n2786 4202\n82086 100000\n61258 91891\n42301 63447\n66251 99393\n94770 100000\n42491 63733\n52248 78301\n35019 52525\n3515 5295\n96651 100000\n90474 100000\n21378 32131\n1667 2515\n54895 82303\n82233 100000\n99193 100000\n3306 4989\n50407 75570\n7115 10700\n21555 32398\n21157 31798\n33088 49624\n69921 100000\n40736 61088\n67623 100000\n90407 100000\n18072 27152\n59721 89604\n24437 36673\n58488 87732\n6848 10295\n23236 34870\n61514 92272\n50941 76368\n3528 5316\n46441 69623\n10288 15445\n35617 53400\n1201 1818\n74790 100000\n38253 57364\n31086 46655\n11375 17067\n43693 65538\n40147 60198\n81548 100000\n71776 100000\n48215 72247\n80193 100000\n58693 88030\n48650 72918\n86939 100000\n32874 49306\n52375 78492\n32964 49440\n42542 63807\n4484 6747\n66613 99931\n26893 40322\n29845 44753\n26268 39409\n97241 100000\n23358 35055\n65067 97596\n84276 100000\n29641 44446\n17499 26295\n76260 100000\n60390 90602\n85695 100000\n65199 97788\n33899 50837\n99315 100000\n68298 100000\n17673 26555\n43675 65511\n10072 15115\n99435 100000\n49505 74200\n83249 100000\n88700 100000\n96224 100000\n33831 50736\n90519 100000\n7343 11039\n44109 66151\n55131 82675\n82568 100000\n81732 100000\n30460 45695\n54571 81806\n64333 96486\n20541 30863\n61086 91639\n47097 70594\n46312 69435\n36248 54344\n27538 41296\n26850 40264\n64001 95978\n94607 100000\n39301 58923\n82214 100000\n18785 28246\n96583 100000\n84420 100000\n18479 27764\n80367 100000\n45408 68106\n85216 100000\n75206 100000\n32318 48482\n2647 3987\n27631 41431\n43971 65951\n94114 100000\n76964 100000\n36258 54361\n19428 29211\n6982 10497\n4971 7478\n7923 11907\n40017 60002\n26034 39057\n49668 74455\n69264 100000\n60402 90620\n15267 22975\n65846 98779\n40644 60951\n55132 82677\n5334 8019\n1094 1651\n69708 100000\n72396 100000\n46335 69471\n99507 100000\n39000 58465\n97721 100000\n24773 37170\n76736 100000\n44172 66249\n8045 12074\n29148 43714\n20767 31214\n522 802\n95516 100000\n96041 100000\n36932 55377\n88983 100000\n8924 13390\n32461 48698\n91089 100000\n21309 32030\n7671 11529\n3977 5979\n42622 63929\n29741 44596\n65645 98472\n22457 33708\n38483 57709\n73956 100000\n90170 100000\n28691 43031\n8927 13394\n70659 100000\n27178 40743\n95043 100000\n28231 42335\n63069 94615\n7819 11746\n96864 100000\n16328 24549\n39389 59056\n79489 100000\n59254 88878\n31393 47104\n31952 47937\n25740 38613\n65835 98763\n30744 46134\n82259 100000\n72556 100000\n98848 100000\n32106 48174\n99487 100000\n54824 82198\n41770 62661\n5220 7849\n66798 100000\n998 1513\n95804 100000\n97011 100000\n94655 100000\n90432 100000\n86853 100000\n27129 40670\n19289 28993\n62410 93632\n66386 99596\n40533 60779\n17731 26638\n7691 11557\n95909 100000\n77858 100000\n48200 72225\n11132 16709\n99676 100000\n3430 5176\n42991 64475\n62544 93833\n98517 100000\n47292 70890\n28947 43424\n75203 100000\n64144 96205\n26010 39022\n30313 45457\n33005 49499\n37993 56970\n69418 100000\n53828 80676\n36661 54973\n74330 100000\n87480 100000\n7463 11214\n82113 100000\n58533 87800\n67508 100000\n75831 100000\n91104 100000\n91552 100000\n17477 26265\n17876 26856\n51966 77884\n78398 100000\n75196 100000\n54008 80948\n45514 68261\n91072 100000\n25769 38656\n637 973\n99845 100000\n35293 52923\n843 1282\n80629 100000\n81761 100000\n56369 84543\n56538 84798\n47277 70870\n76670 100000\n88088 100000\n57393 86086\n39859 59763\n7939 11932\n94687 100000\n64403 96593\n22722 34103\n9507 14262\n64602 96889\n51869 77739\n18854 28353\n33733 50583\n6416 9670\n81609 100000\n57797 86683\n83628 100000\n65822 98743\n22147 33260\n6299 9486\n71149 100000\n6163 9278\n25141 37730\n99925 100000\n20782 31239\n87734 100000\n47403 71049\n24129 36214\n63159 94742\n4387 6604\n47831 71675\n27041 40538\n69896 100000\n31361 47056\n64362 96528\n38900 58321\n94143 100000\n87273 100000\n11634 17462\n1429 2163\n13587 20417\n50863 76254\n1020 1542\n82597 100000\n74327 100000\n34260 51371\n24377 36585\n78635 100000\n69021 100000\n98524 100000\n46798 70146\n62090 93136\n5537 8321\n50439 75614\n46423 69595\n97996 100000\n89440 100000\n97147 100000\n75537 100000\n6539 9837\n16914 25420\n30728 46109\n64555 96819\n46582 69827\n24717 37083\n35228 52828\n9588 14386\n49426 74077\n78255 100000\n38801 58182\n59185 88772\n83013 100000\n37776 56646\n99259 100000\n67555 100000\n79729 100000\n6702 10084\n56475 84705\n14730 22163\n57578 86356\n5580 8389\n54060 81026\n62564 93862\n4088 6151\n43638 65455\n45937 68880\n17360 26096\n32975 49455\n63448 95155\n28626 42931\n87255 100000\n97569 100000\n45711 68554\n59422 89128\n13106 19679\n65696 98548\n15377 23136\n40856 61275\n33239 49845\n30734 46119\n11028 16549\n67664 100000\n86574 100000\n45992 68962\n32725 49090\n58446 87675\n37300 55930\n33114 49659\n88595 100000\n53086 79564\n52972 79389\n52783 79106\n46765 70101\n7304 10979\n37618 56409\n96095 100000\n18760 28210\n50314 75425\n2344 3526\n86130 100000\n6511 9797\n89424 100000\n86817 100000\n57553 86320\n90333 100000\n90195 100000\n42873 64301\n66170 99273\n64319 96466\n19961 30011\n83924 100000\n24825 37251\n32671 49008\n47246 70818\n39308 58934\n9976 14972\n59026 88532\n7415 11143\n49149 73667\n53681 80451\n32901 49347\n79812 100000\n69885 100000\n22381 33593\n98771 100000\n96889 100000\n45248 67867\n2799 4223\n47997 71929\n43772 65654\n17496 26292\n86980 100000\n71294 100000\n79891 100000\n76792 100000\n91389 100000\n97959 100000\n75472 100000\n20934 31470\n67710 100000\n1753 2642\n72230 100000\n88740 100000\n67984 100000\n31700 47565\n88444 100000\n38383 57557\n71751 100000\n8720 13083\n95539 100000\n93594 100000\n33967 50935\n15106 22734\n50179 75217\n85993 100000\n66873 100000\n25126 37709\n34670 51996\n16116 24231\n55049 82548\n17629 26485\n94295 100000\n67872 100000\n34987 52476\n54443 81617\n30573 45874\n69494 100000\n24686 37035\n75789 100000\n10835 16254\n87276 100000\n6934 10418\n1082 1634\n18618 27979\n90733 100000\n87267 100000\n45672 68498\n56554 84823\n2247 3374\n87562 100000\n31592 47403\n89379 100000\n83369 100000\n34946 52413\n8954 13431\n23105 34678\n79325 100000\n87700 100000\n5713 8585\n32588 48879\n92207 100000\n25672 38504\n22255 33410\n95262 100000\n12356 18544\n84547 100000\n37427 56116\n41514 62269\n28561 42834\n54675 81966\n70938 100000\n56829 85230\n75889 100000\n43956 65930\n24479 36734\n5506 8273\n68077 100000\n78607 100000\n90659 100000\n64454 96666\n96282 100000\n46608 69870\n9937 14919\n39366 59022\n10017 15036\n28429 42636\n18421 27674\n46280 69386\n3713 5592\n61555 92334\n27401 41084\n60452 90695\n3851 5795\n87043 100000\n87059 100000\n74902 100000\n64154 96218\n82298 100000\n76830 100000\n52488 78662\n23335 35018\n82711 100000\n52190 78219\n76469 100000\n47280 70874\n98221 100000\n29890 44823\n50025 74985\n29197 43783\n66013 99034\n93703 100000\n12614 18926\n15508 23334\n94794 100000\n91909 100000\n98072 100000\n66438 99674\n68053 100000\n53484 80163\n48799 73141\n44409 66602\n16464 24756\n40308 60441\n63743 95582\n11252 16885\n11698 17563\n86164 100000\n83797 100000\n69500 100000\n74389 100000\n13573 20393\n9893 14852\n8580 12873\n31090 46661\n57244 85851\n58277 87410\n849 1290\n94617 100000\n88919 100000\n27445 41155\n2776 4187\n15758 23702\n48016 71954\n36549 54798\n9768 14658\n76072 100000\n84717 100000\n86689 100000\n50646 75928\n42770 64148\n33380 50052\n54108 81096\n36726 55074\n95017 100000\n77220 100000\n63493 95223\n20594 30947\n28262 42382\n84856 100000\n46119 69154\n70656 100000\n62437 93673\n20732 31161\n89198 100000\n48721 73026\n3900 5868\n43511 65269\n81849 100000\n85651 100000\n51609 77345\n54197 81229\n82341 100000\n58634 87946\n77234 100000\n68443 100000\n67344 100000\n14857 22350\n98640 100000\n23808 35721\n2245 3371\n32472 48716\n7624 11456\n10447 15680\n96897 100000\n6615 9950\n17280 25974\n54792 82146\n48665 72937\n71514 100000\n89443 100000\n99091 100000\n16053 24137\n6574 9887\n26745 40108\n538 826\n78695 100000\n22028 33083\n22091 33178\n40837 61247\n50111 75110\n39179 58724\n99307 100000\n51911 77796\n29451 44169\n67562 100000\n52490 78666\n80515 100000\n8601 12904\n79827 100000\n50736 76064\n14535 21853\n48955 73377\n32753 49130\n25872 38815\n62007 93022\n19044 28634\n93935 100000\n36809 55206\n89295 100000\n9049 13566\n66125 99209\n92131 100000\n97047 100000\n42541 63806\n36729 55080\n1815 2731\n46518 69735\n2716 4093\n35240 52848\n67276 100000\n6401 9646\n59209 88807\n51647 77398\n57245 85852\n37617 56408\n96009 100000\n2829 4269\n23700 35558\n7767 11671\n51005 76462\n15833 23809\n34077 51097\n57534 86292\n48393 72516\n5356 8054\n51976 77901\n35206 52797\n20793 31253\n73945 100000\n54916 82336\n73515 100000\n53421 80076\n78622 100000\n29496 44237\n69656 100000\n20459 30749\n87169 100000\n61300 91957\n19410 29184\n59892 89863\n29472 44200\n29234 43841\n85943 100000\n6620 9958\n20145 30286\n71966 100000\n68673 100000\n26392 39593\n33225 49823\n91063 100000\n54506 81712\n80192 100000\n92232 100000\n53263 79835\n1109 1673\n52844 79201\n73275 100000\n88000 100000\n56959 85423\n66204 99323\n60689 91040\n67444 100000\n77632 100000\n36822 55221\n67042 100000\n8011 12025\n33739 50592\n82243 100000\n20563 30895\n34956 52428\n88189 100000\n23649 35481\n81626 100000\n76943 100000\n99732 100000\n16699 25110\n90995 100000\n67318 100000\n67910 100000\n87737 100000\n63608 95394\n70307 100000\n83377 100000\n52497 78677\n66753 100000\n85028 100000\n84340 100000\n81018 100000\n90038 100000\n82958 100000\n72072 100000\n13644 20505\n50601 75854\n881 1337\n52417 78558\n64134 96188\n54471 81663\n89936 100000\n94879 100000\n85189 100000\n38782 58154\n86665 100000\n73662 100000\n60013 90042\n11860 17800\n4978 7489\n77269 100000\n44940 67398\n12771 19161\n45176 67757\n39174 58718\n1903 2864\n61757 92636\n72974 100000\n84701 100000\n16138 24261\n40631 60930\n61411 92121\n96620 100000\n41480 62218\n12199 18317\n6483 9755\n59618 89439\n21897 32892\n10393 15596\n84766 100000\n57810 86703\n74865 100000\n34564 51836\n27637 41440\n82932 100000\n76924 100000\n95945 100000\n63232 94846\n3717 5598\n70725 100000\n21051 31644\n44834 67236\n79434 100000\n13430 20176\n29481 44215\n89893 100000\n91471 100000\n86914 100000\n63995 95967\n44706 67049\n68592 100000\n99459 100000\n87171 100000\n13853 20824\n1189 1798\n33869 50794\n54452 81633\n69986 100000\n19334 29067\n84165 100000\n47874 71737\n79813 100000\n2530 3814\n60888 91345\n72206 100000\n81979 100000\n13323 20007\n45790 68664\n65623 98440\n16937 25455\n98258 100000\n44568 66838\n98182 100000\n62810 94232\n13766 20691\n92216 100000\n45295 67942\n25517 38280\n39551 59304\n33555 50318\n38616 57905\n51849 77705\n35164 52741\n51867 77735\n34824 52231\n49098 73591\n72378 100000\n73538 100000\n97551 100000\n58021 87016\n89894 100000\n97617 100000\n15430 23220\n36145 54186\n47745 71554\n72497 100000\n61760 92640\n96750 100000\n32166 48259\n17150 25772\n81073 100000\n22785 34192\n28347 42513\n35629 53419\n84592 100000\n52299 78381\n66058 99106\n43179 64763\n64727 97079\n55111 82644\n83397 100000\n11559 17350\n82527 100000\n8087 12141\n49041 73506\n24325 36507\n44974 67442\n45880 68799\n90754 100000\n22195 33334\n85184 100000\n74164 100000\n58840 88250\n63657 95462\n59102 88643\n24775 37172\n55027 82514\n96066 100000\n59079 88610\n2519 3795\n66644 99976\n70191 100000\n95415 100000\n1148 1736\n39735 59581\n80579 100000\n99071 100000\n36143 54183\n22411 33638\n27842 41759\n22145 33257\n26559 39843\n1618 2440\n31675 47529\n44053 66071\n66243 99383\n984 1493\n27562 41329\n35054 52573\n45148 67714\n91958 100000\n52564 78776\n42751 64120\n81147 100000\n2215 3329\n95179 100000\n73597 100000\n16211 24374\n61216 91832\n76274 100000\n14361 21592\n74890 100000\n36021 54006\n60163 90265\n81977 100000\n33003 49497\n2475 3725\n98135 100000\n16354 24588\n29046 43566\n12828 19248\n25522 38287\n11152 16736\n3045 4593\n28462 42689\n35043 52558\n71304 100000\n39037 58520\n61525 92287\n55464 83175\n83928 100000\n93949 100000\n39014 58485\n45856 68763\n12345 18529\n24236 36366\n67410 100000\n37458 56164\n8745 13121\n54329 81429\n30431 45651\n98696 100000\n93294 100000\n40158 60216\n94028 100000\n27974 41957\n28666 42995\n76167 100000\n26966 40426\n5763 8657\n14445 21716\n82403 100000\n46836 70202\n74488 100000\n56197 84282\n71548 100000\n44512 66758\n25842 38774\n940 1429\n40771 61147\n17124 25731\n14991 22553\n10180 15280\n24238 36368\n30740 46128\n46965 70397\n91390 100000\n28062 42086\n9899 14862\n44465 66682\n4814 7246\n35588 53356\n78690 100000\n120 186\n98129 100000\n58403 87607\n70491 100000\n54990 82451\n41582 62369\n33448 50155\n56312 84461\n3608 5431\n31764 47662\n2925 4413\n65192 97777\n33836 50743\n28781 43172\n8681 13027\n23100 34671\n54655 81934\n26531 39802\n61989 92994\n44439 66647\n44626 66930\n95116 100000\n90532 100000\n48436 72585\n88733 100000\n47691 71474\n35230 52831\n68840 100000\n35373 53041\n58575 87854\n74558 100000\n8634 12956\n86426 100000\n40293 60416\n3597 5416\n71870 100000\n88847 100000\n10660 15989\n19802 29776\n90171 100000\n41016 61512\n91980 100000\n30210 45307\n46994 70439\n85597 100000\n50640 75919\n43524 65289\n43182 64767\n30341 45500\n83331 100000\n5866 8821\n78691 100000\n80114 100000\n41073 61602\n92429 100000\n15970 24011\n66485 99747\n65574 98362\n99971 100000\n65060 97585\n51699 77477\n15770 23716\n21471 32277\n80919 100000\n22890 34349\n34488 51723\n65451 98176\n85793 100000\n48661 72933\n27727 41581\n26191 39291\n87415 100000\n17952 26971\n95830 100000\n71205 100000\n85539 100000\n3166 4777\n62071 93111\n6113 9196\n43615 65421\n63077 94628\n86500 100000\n19386 29148\n50728 76050\n99199 100000\n7277 10942\n89161 100000\n592 909\n91351 100000\n19131 28766\n9566 14352\n2985 4507\n37294 55921\n10402 15608\n15566 23421\n15420 23204\n34934 52399\n19284 28985\n35519 53258\n83434 100000\n68463 100000\n19237 28920\n90524 100000\n67678 100000\n93728 100000\n58241 87353\n55829 83726\n63745 95586\n46075 69093\n70131 100000\n47905 71783\n15002 22572\n14451 21727\n64593 96876\n93933 100000\n30927 46417\n51540 77243\n33444 50149\n24949 37435\n16422 24691\n58440 87665\n30448 45677\n59579 89379\n85218 100000\n64648 96961\n56214 84307\n231 355\n45659 68480\n21834 32802\n19713 29641\n82957 100000\n10807 16210\n69818 100000\n2561 3861\n46888 70281\n62034 93058\n90859 100000\n50624 75892\n78527 100000\n2222 3339\n73161 100000\n56613 84910\n71724 100000\n86357 100000\n66282 99443\n7955 11950\n43995 65988\n70366 100000\n70699 100000\n76380 100000\n53262 79834\n12076 18129\n7216 10853\n94929 100000\n53775 80591\n86548 100000\n20922 31454\n42890 64326\n20132 30267\n63470 95188\n64952 97423\n55215 82802\n76235 100000\n80605 100000\n96645 100000\n14119 21231\n23646 35476\n19611 29487\n625 959\n64103 96138\n33503 50238\n21858 32841\n50715 76030\n68744 100000\n23520 35292\n38185 57263\n73992 100000\n19935 29973\n14710 22130\n64343 96503\n14529 21843\n96909 100000\n23813 35728\n94383 100000\n69352 100000\n3553 5351\n63796 95665\n74214 100000\n19765 29720\n902 1370\n4260 6411\n53155 79667\n98404 100000\n15742 23679\n56335 84491\n37154 55708\n54043 80999\n63542 95291\n17170 25805\n3010 4544\n29756 44615\n41688 62529\n1952 2937\n94682 100000\n55687 83517\n6604 9934\n86861 100000\n98892 100000\n37218 55803\n92325 100000\n10378 15572\n32534 48806\n50190 75235\n33625 50421\n4307 6483\n5033 7568\n73068 100000\n79072 100000\n12331 18507\n74776 100000\n78507 100000\n89087 100000\n62890 94347\n99341 100000\n60932 91410\n92377 100000\n93716 100000\n35432 53132\n98504 100000\n73644 100000\n87112 100000\n30848 46290\n95970 100000\n83684 100000\n24052 36094\n24570 36863\n34669 51995\n32425 48650\n61239 91863\n54678 81970\n62986 94488\n55471 83186\n54680 81974\n78706 100000\n84862 100000\n33815 50713\n43606 65409\n49891 74793\n39160 58695\n30442 45668\n78228 100000\n32979 49460\n9650 14476\n92703 100000\n86862 100000\n1960 2949\n68345 100000\n17453 26229\n98078 100000\n66436 99670\n20829 31312\n8056 12092\n32990 49479\n69551 100000\n27014 40497\n11189 16789\n7929 11915\n66427 99657\n6775 10187\n72093 100000\n11034 16557\n95692 100000\n8985 13475\n33502 50236\n77138 100000\n38677 57997\n55950 83907\n1866 2811\n96401 100000\n24191 36303\n16905 25407\n21236 31921\n12510 18770\n24383 36593\n87494 100000\n35650 53450\n95370 100000\n33074 49601\n76510 100000\n95259 100000\n71652 100000\n65231 97841\n95354 100000\n8752 13132\n42200 63302\n59144 88710\n90780 100000\n35005 52505\n22083 33164\n62169 93255\n59280 88917\n11459 17199\n67695 100000\n52550 78755\n30078 45101\n95649 100000\n76982 100000\n68462 100000\n95005 100000\n43374 65063\n85815 100000\n98816 100000\n26830 40233\n31369 47068\n51108 76621\n67143 100000\n95760 100000\n58453 87686\n33552 50313\n76552 100000\n51300 76900\n10409 15620\n27580 41356\n87872 100000\n67352 100000\n69149 100000\n5488 8248\n77623 100000\n462 708\n70630 100000\n18554 27882\n19014 28591\n2038 3062\n8709 13068\n68560 100000\n44232 66338\n17468 26254\n74149 100000\n50045 75014\n25000 37515\n88100 100000\n81879 100000\n35297 52928\n15142 22786\n98670 100000\n25894 38849\n66581 99883\n89067 100000\n61583 92375\n7747 11640\n38763 58127\n60327 90507\n60972 91470\n53599 80331\n28152 42214\n22601 33924\n24116 36194\n21987 33024\n8179 12281\n48368 72481\n23078 34635\n24745 37127\n5157 7757\n49660 74442\n43010 64504\n35322 52966\n64848 97257\n39744 59593\n32185 48283\n74783 100000\n67870 100000\n70207 100000\n23273 34926\n82831 100000\n68876 100000\n68588 100000\n68156 100000\n22001 33044\n21380 32135\n57281 85912\n59870 89829\n77928 100000\n81940 100000\n97204 100000\n90369 100000\n32533 48805\n40766 61137\n78498 100000\n93433 100000\n13674 20551\n13477 20247\n1736 2614\n96853 100000\n57988 86966\n57583 86363\n45635 68443\n37629 56426\n40542 60796\n90618 100000\n33734 50584\n52839 79194\n76938 100000\n21243 31930\n732 1116\n41371 62054\n26242 39373\n21665 32546\n18497 27792\n71396 100000\n6516 9805\n12263 18409\n82093 100000\n2582 3894\n95261 100000\n62444 93682\n54276 81350\n49437 74094\n45972 68929\n46422 69593\n49137 73650\n55656 83471\n11694 17557\n24182 36289\n91693 100000\n57435 86149\n38528 57781\n54118 81114\n31167 46776\n42819 64222\n58055 87070\n46147 69198\n70670 100000\n27636 41438\n77709 100000\n12998 19515\n50155 75178\n64063 96079\n57008 85501\n44599 66886\n7155 10761\n24528 36802\n76191 100000\n60685 91035\n89870 100000\n28124 42173\n46127 69167\n48689 72978\n29668 44486\n11506 17268\n56929 85379\n27988 41974\n41228 61838\n42771 64149\n9416 14122\n28344 42507\n43783 65669\n95602 100000\n35666 53473\n88317 100000\n84684 100000\n75436 100000\n80649 100000\n40284 60404\n37385 56053\n30964 46476\n42238 63364\n21462 32262\n20313 30535\n33353 50010\n83443 100000\n36762 55133\n24018 36044\n555 850\n67141 100000\n31749 47640\n78017 100000\n48447 72602\n7210 10843\n84111 100000\n86767 100000\n96156 100000\n24509 36775\n28524 42779\n46807 70159\n30826 46260\n27229 40819\n88466 100000\n17868 26844\n75969 100000\n62614 93936\n54270 81339\n70356 100000\n90449 100000\n31962 47954\n98566 100000\n77163 100000\n98526 100000\n90086 100000\n86812 100000\n35881 53797\n2719 4099\n25988 38987\n1343 2036\n92008 100000\n97958 100000\n91341 100000\n30604 45918\n74014 100000\n34738 52100\n88893 100000\n17612 26462\n36736 55091\n82021 100000\n67629 100000\n18559 27891\n40135 60181\n10998 16501\n45076 67609\n48866 73244\n65863 98804\n86395 100000\n82966 100000\n11259 16896\n13384 20101\n84477 100000\n56397 84590\n14612 21968\n57341 86006\n40545 60800\n82828 100000\n61271 91911\n87959 100000\n78705 100000\n98714 100000\n51041 76520\n91230 100000\n47676 71451\n59904 89880\n65072 97603\n27136 40681\n97846 100000\n71371 100000\n23003 34514\n29937 44895\n95296 100000\n43351 65030\n15029 22610\n40660 60973\n68450 100000\n49201 73744\n53586 80311\n55965 83932\n81642 100000\n85954 100000\n63597 95375\n34700 52043\n39664 59475\n45354 68026\n85667 100000\n87253 100000\n33155 49721\n78565 100000\n88573 100000\n52182 78207\n42126 63186\n86859 100000\n83788 100000\n82901 100000\n23354 35047\n30465 45701\n2783 4198\n87994 100000\n74617 100000\n44941 67399\n16850 25330\n93643 100000\n53109 79596\n77007 100000\n46816 70174\n75588 100000\n46013 68996\n65293 97935\n72761 100000\n57265 85888\n63286 94922\n91439 100000\n79279 100000\n52511 78697\n13365 20071\n63208 94808\n97803 100000\n30778 46191\n50929 76351\n18185 27321\n46366 69511\n41130 61685\n10370 15559\n36459 54668\n51289 76886\n65016 97512\n41278 61917\n8413 12629\n44019 66022\n94725 100000\n54957 82396\n500 767\n16908 25412\n86161 100000\n23371 35073\n79264 100000\n14719 22145\n58612 87909\n18647 28026\n82434 100000\n15110 22740\n51892 77770\n32517 48783\n10186 15290\n55061 82566\n1478 2237\n80294 100000\n5362 8065\n91482 100000\n25160 37758\n50536 75759\n74090 100000\n9533 14305\n79298 100000\n42151 63226\n61991 92997\n41031 61535\n40885 61315\n11707 17578\n41354 62028\n32099 48163\n69172 100000\n56445 84661\n24586 36886\n27812 41711\n64764 97133\n48659 72930\n61261 91895\n60890 91349\n45232 67841\n60537 90814\n59973 89987\n59428 89139\n74936 100000\n38431 57630\n35090 52626\n75704 100000\n48932 73343\n53240 79802\n53889 80770\n84265 100000\n93755 100000\n13311 19989\n83752 100000\n52361 78474\n58046 87055\n5151 7748\n71978 100000\n4870 7324\n88177 100000\n83080 100000\n6348 9566\n54834 82214\n58329 87494\n1860 2800\n23050 34592\n39234 58819\n45844 68746\n31754 47647\n23524 35298\n7494 11259\n92251 100000\n63845 95741\n43455 65191\n6324 9526\n49880 74781\n7653 11502\n65464 98192\n2991 4516\n21884 32877\n86421 100000\n30240 45351\n63918 95857\n39844 59740\n76990 100000\n24170 36272\n45548 68317\n6103 9181\n45498 68241\n47542 71247\n18987 28554\n19421 29198\n9905 14871\n6039 9082\n63564 95322\n59524 89296\n64592 96875\n92126 100000\n33511 50248\n15222 22900\n26521 39786\n18599 27952\n97722 100000\n63703 95528\n97397 100000\n65359 98042\n93958 100000\n39302 58925\n42286 63429\n5024 7554\n80658 100000\n44319 66468\n60998 91509\n95530 100000\n88281 100000\n71521 100000\n82291 100000\n40331 60474\n96815 100000\n31285 46943\n69331 100000\n3168 4780\n87442 100000\n87165 100000\n43336 65008\n30126 45178\n13916 20922\n27661 41477\n39644 59447\n91463 100000\n10657 15984\n1682 2534\n39360 59014\n49488 74172\n34677 52008\n54001 80935\n26150 39235\n71446 100000\n88342 100000\n50385 75534\n5245 7887\n23846 35780\n45385 68073\n32708 49064\n51780 77600\n76121 100000\n13939 20958\n68379 100000\n95656 100000\n45884 68805\n66324 99502\n76412 100000\n43626 65438\n39252 58848\n25348 38032\n78595 100000\n34725 52080\n38515 57761\n85941 100000\n14347 21573\n37594 56370\n91981 100000\n61642 92465\n17026 25580\n47732 71536\n70789 100000\n59068 88595\n13376 20087\n29048 43570\n9897 14859\n26 42\n29933 44889\n13498 20279\n4402 6627\n58875 88303\n51671 77436\n77017 100000\n94972 100000\n11413 17128\n3213 4848\n56954 85415\n89993 100000\n47791 71622\n87163 100000\n99390 100000\n44034 66044\n46805 70156\n71924 100000\n4536 6826\n40383 60555\n78947 100000\n65186 97769\n87337 100000\n45750 68611\n96801 100000\n89462 100000\n32709 49066\n56770 85137\n13693 20582\n79854 100000\n19069 28671\n70228 100000\n37545 56288\n76401 100000\n53069 79538\n18508 27808\n83160 100000\n26530 39800\n54589 81831\n41405 62103\n79741 100000\n48591 72828\n51050 76531\n30581 45885\n69523 100000\n8800 13204\n86119 100000\n71801 100000\n35277 52899\n84504 100000\n85617 100000\n54018 80961\n45920 68857\n55683 83511\n61007 91523\n19171 28824\n65782 98683\n89779 100000\n42530 63792\n69897 100000\n20174 30328\n69058 100000\n2199 3304\n55840 83742\n52451 78608\n45687 68520\n56090 84122\n29342 44017\n24053 36095\n56476 84706\n49764 74603\n68526 100000\n68612 100000\n44739 67099\n65509 98263\n57201 85785\n62985 94486\n20926 31458\n87058 100000\n6033 9070\n2630 3961\n31040 46593\n50177 75214\n84859 100000\n27494 41232\n13622 20472\n43656 65482\n23615 35429\n84230 100000\n7399 11118\n63530 95275\n38309 57450\n41771 62662\n72457 100000\n5755 8646\n10692 16031\n85363 100000\n10672 16003\n88356 100000\n7511 11289\n98973 100000\n75394 100000\n75531 100000\n1696 2554\n71382 100000\n71053 100000\n83138 100000\n92362 100000\n72328 100000\n43061 64580\n69645 100000\n58210 87306\n3332 5027\n75381 100000\n94034 100000\n90703 100000\n8025 12046\n55531 83280\n51297 76896\n41430 62143\n257 396\n2367 3560\n8956 13434\n17187 25830\n70495 100000\n9911 14881\n33200 49788\n12930 19406\n42204 63309\n10788 16179\n74275 100000\n60335 90519\n71192 100000\n42215 63327\n60190 90302\n8368 12563\n79132 100000\n89479 100000\n99944 100000\n17017 25568\n4886 7346\n31819 47743\n60374 90576\n45022 67519\n27633 41434\n40886 61316\n38643 57944\n34524 51776\n98821 100000\n30039 45043\n50136 75149\n36008 53984\n38389 57566\n27307 40938\n46308 69430\n20825 31307\n92313 100000\n38215 57305\n21619 32480\n74644 100000\n40 62\n64664 96985\n53246 79810\n10971 16458\n32264 48407\n84917 100000\n28047 42063\n29389 44084\n17413 26172\n26135 39210\n31796 47707\n72808 100000\n92304 100000\n61237 91861\n65413 98123\n84044 100000\n64346 96507\n27227 40816\n27831 41740\n19236 28918\n17971 26997\n20814 31289\n22869 34319\n17856 26829\n82650 100000\n97268 100000\n94485 100000\n26519 39782\n38113 57149\n65806 98719\n32111 48183\n69826 100000\n21412 32183\n55712 83556\n78735 100000\n49131 73640\n50128 75137\n9528 14295\n76826 100000\n64477 96701\n90147 100000\n41088 61624\n91672 100000\n9665 14500\n81589 100000\n13387 20107\n62632 93963\n30585 45891\n48189 72210\n89808 100000\n42872 64299\n45909 68845\n33798 50688\n61932 92908\n92173 100000\n19093 28709\n93824 100000\n69878 100000\n48487 72665\n54441 81615\n77016 100000\n85412 100000\n72317 100000\n32215 48330\n19588 29451\n67233 100000\n42707 64048\n79907 100000\n32695 49048\n49730 74549\n51650 77401\n91603 100000\n76980 100000\n32554 48836\n96856 100000\n34866 52298\n27191 40762\n53259 79829\n77328 100000\n39392 59059\n9229 13843\n55871 83787\n9852 14782\n63257 94882\n57302 85944\n65154 97723\n50661 75950\n48701 72997\n59014 88511\n21249 31940\n67044 100000\n43168 64747\n25205 37826\n19795 29764\n71417 100000\n84336 100000\n86648 100000\n10078 15126\n43796 65688\n69365 100000\n84863 100000\n91306 100000\n47040 70511\n23807 35719\n41173 61753\n94501 100000\n30052 45061\n409 628\n20917 31447\n76587 100000\n41768 62657\n72877 100000\n86925 100000\n44119 66169\n99224 100000\n41466 62196\n45402 68098\n57981 86955\n48091 72065\n80225 100000\n71368 100000\n68999 100000\n45128 67683\n83639 100000\n98064 100000\n35464 53182\n15125 22763\n89268 100000\n13525 20323\n74741 100000\n23542 35321\n28356 42526\n57189 85765\n71855 100000\n75684 100000\n76977 100000\n79404 100000\n43551 65331\n42217 63330\n15171 22827\n31417 47139\n65047 97563\n42458 63683\n31799 47712\n63150 94730\n89625 100000\n69211 100000\n43993 65985\n78723 100000\n39100 58608\n58749 88119\n56020 84015\n42704 64043\n61036 91567\n82495 100000\n39983 59947\n79944 100000\n26620 39936\n63596 95374\n95184 100000\n71323 100000\n69769 100000\n42314 63467\n49394 74030\n6842 10287\n32868 49298\n57485 86221\n90064 100000\n20833 31317\n11352 17038\n39680 59501\n28268 42390\n9901 14865\n7598 11419\n65935 98916\n51125 76646\n86645 100000\n79582 100000\n55851 83758\n93994 100000\n65324 97983\n57349 86018\n59385 89072\n53031 79480\n49829 74704\n70913 100000\n66141 99232\n54638 81906\n77327 100000\n31008 46541\n85048 100000\n93195 100000\n30708 46081\n64234 96341\n64615 96910\n32704 49058\n33575 50348\n78432 100000\n79528 100000\n78991 100000\n74802 100000\n20440 30718\n28540 42801\n92720 100000\n61425 92143\n68877 100000\n65915 98884\n87599 100000\n14907 22424\n94484 100000\n44317 66465\n2286 3438\n11929 17906\n76610 100000\n75951 100000\n52976 79394\n47625 71374\n17142 25759\n68660 100000\n40290 60413\n94490 100000\n70919 100000\n34143 51196\n67599 100000\n69204 100000\n88112 100000\n89215 100000\n28453 42673\n62537 93823\n5936 8922\n18623 27987\n3571 5380\n22846 34281\n29243 43855\n53440 80104\n10475 15717\n67437 100000\n87147 100000\n76247 100000\n59004 88497\n39350 58999\n46283 69391\n42564 63842\n70145 100000\n7700 11569\n96602 100000\n46332 69468\n10942 16414\n81229 100000\n45701 68540\n1163 1761\n74560 100000\n51741 77541\n68171 100000\n97470 100000\n14884 22389\n36443 54642\n41469 62200\n42436 63651\n64851 97260\n85432 100000\n73572 100000\n75441 100000\n21232 31915\n45540 68307\n42400 63597\n11140 16719\n2674 4027\n65842 98774\n93731 100000\n25861 38800\n1214 1839\n24214 36336\n37271 55888\n42185 63280\n597 916\n44774 67151\n69737 100000\n73235 100000\n26199 39304\n91116 100000\n23318 34992\n20200 30369\n40322 60460\n33071 49597\n48938 73353\n3179 4797\n96445 100000\n19709 29635\n41438 62153\n32922 49381\n91346 100000\n95536 100000\n24131 36218\n96184 100000\n52065 78038\n73550 100000\n23707 35569\n5412 8132\n61857 92796\n53126 79621\n50039 75007\n82706 100000\n99186 100000\n56384 84571\n60225 90350\n72947 100000\n34763 52138\n6134 9230\n60894 91355\n38881 58296\n1285 1948\n72299 100000\n28235 42341\n26013 39027\n5363 8067\n77598 100000\n53909 80801\n58321 87482\n43728 65594\n80790 100000\n54221 81265\n17898 26889\n95559 100000\n40427 60620\n82801 100000\n47546 71254\n23473 35221\n55705 83545\n31274 46929\n28175 42252\n58857 88275\n88589 100000\n85461 100000\n60317 90489\n81955 100000\n90456 100000\n86449 100000\n76378 100000\n99628 100000\n67163 100000\n79968 100000\n98249 100000\n83677 100000\n42449 63671\n47306 70909\n3052 4605\n21561 32407\n9071 13599\n138 212\n44330 66485\n37343 55988\n23294 34958\n44027 66034\n74749 100000\n3182 4801\n74546 100000\n42131 63195\n73322 100000\n92403 100000\n6320 9521\n99496 100000\n79384 100000\n29024 43536\n97677 100000\n99028 100000\n54779 82127\n15293 23013\n47722 71521\n95077 100000\n78444 100000\n16998 25540\n66374 99578\n97725 100000\n76724 100000\n10114 15183\n76631 100000\n77393 100000\n45445 68156\n43242 64860\n10782 16169\n34230 51326\n56817 85209\n27999 41990\n46526 69748\n46155 69207\n36774 55153\n44455 66668\n61616 92423\n60315 90485\n85986 100000\n79751 100000\n81656 100000\n2562 3863\n30433 45655\n45619 68422\n24557 36843\n15230 22913\n7049 10598\n22696 34066\n20857 31349\n62690 94049\n87937 100000\n9149 13716\n18161 27285\n17322 26041\n72147 100000\n88497 100000\n1166 1766\n90059 100000\n35324 52969\n18335 27547\n19070 28672\n57168 85733\n44461 66676\n74973 100000\n65399 98100\n8065 12106\n73141 100000\n49153 73674\n50316 75427\n7060 10614\n85670 100000\n80601 100000\n95420 100000\n92375 100000\n6046 9093\n1406 2126\n9759 14644\n20125 30255\n31948 47932\n33615 50407\n30839 46278\n34547 51812\n74341 100000\n93689 100000\n47506 71192\n43281 64920\n55854 83763\n91703 100000\n45791 68666\n42610 63911\n18848 28343\n90165 100000\n67518 100000\n20396 30657\n28227 42328\n35368 53033\n67346 100000\n65198 97786\n81042 100000\n75939 100000\n43018 64515\n27737 41597\n4714 7095\n98364 100000\n94937 100000\n74473 100000\n76206 100000\n28237 42344\n77721 100000\n77253 100000\n17604 26448\n67312 100000\n55757 83627\n3067 4630\n39514 59246\n47215 70774\n81012 100000\n32257 48396\n33101 49642\n10522 15783\n69911 100000\n6209 9349\n54530 81747\n50115 75117\n20741 31172\n13579 20403\n46014 68997\n91271 100000\n99194 100000\n10494 15747\n61813 92723\n3428 5174\n18005 27051\n11565 17359\n17501 26298\n23037 34569\n60915 91386\n62235 93362\n31014 46551\n66316 99491\n65428 98145\n99610 100000\n84093 100000\n27539 41298\n10449 15683\n47741 71549\n75507 100000\n41074 61604\n66739 100000\n97810 100000\n34489 51725\n73634 100000\n7342 11038\n71165 100000\n45627 68431\n59430 89143\n68417 100000\n39654 59461\n52595 78825\n19949 29992\n61399 92105\n222 340\n8670 13010\n90398 100000\n79321 100000\n35688 53508\n8972 13459\n91869 100000\n20403 30667\n3500 5276\n57092 85619\n86362 100000\n41946 62926\n41001 61490\n29960 44929\n85928 100000\n96542 100000\n14798 22266\n49353 73970\n63960 95913\n47241 70810\n83154 100000\n69533 100000\n9662 14495\n24799 37209\n74653 100000\n92598 100000\n81450 100000\n1954 2940\n97050 100000\n69530 100000\n28445 42660\n46727 70042\n84977 100000\n66814 100000\n88786 100000\n87931 100000\n3526 5313\n85776 100000\n87475 100000\n85636 100000\n39379 59042\n74387 100000\n70331 100000\n28367 42545\n81572 100000\n47128 70642\n371 569\n25520 38283\n90078 100000\n47174 70713\n94274 100000\n76705 100000\n53988 80919\n2939 4436\n45035 67541\n83922 100000\n39766 59626\n13461 20225\n85421 100000\n54459 81645\n66927 100000\n37289 55913\n30561 45852\n49544 74263\n90329 100000\n19354 29097\n78299 100000\n27476 41205\n46904 70302\n81608 100000\n78680 100000\n71350 100000\n20463 30755\n74228 100000\n72026 100000\n91332 100000\n21368 32115\n37215 55798\n1906 2868\n64716 97065\n90154 100000\n72353 100000\n26665 40001\n34821 52226\n16238 24415\n66904 100000\n76920 100000\n86828 100000\n41310 61968\n14270 21454\n10138 15218\n93494 100000\n3735 5628\n22918 34391\n13251 19901\n18600 27953\n92714 100000\n47719 71515\n93890 100000\n88313 100000\n66366 99566\n21696 32589\n30860 46311\n28015 42014\n42023 63034\n41208 61806\n6844 10290\n17911 26909\n88963 100000\n66967 100000\n31657 47501\n37202 55779\n58695 88032\n41692 62535\n1292 1956\n54501 81703\n38893 58312\n58892 88331\n96811 100000\n64430 96632\n2353 3538\n15872 23865\n35900 53826\n57197 85779\n12694 19052\n26743 40104\n27327 40965\n85334 100000\n45775 68645\n42568 63847\n35438 53142\n19176 28832\n30685 46044\n30742 46131\n11995 18004\n80990 100000\n33694 50523\n15877 23874\n4553 6853\n84110 100000\n20184 30342\n72680 100000\n31501 47262\n56240 84350\n41297 61946\n63784 95647\n74467 100000\n91940 100000\n41157 61726\n97075 100000\n54913 82331\n91855 100000\n14888 22395\n29544 44304\n87780 100000\n3560 5362\n66464 99715\n72726 100000\n75532 100000\n62764 94161\n94378 100000\n2107 3162\n50596 75847\n30261 45383\n10770 16152\n97669 100000\n8996 13492\n57063 85578\n39856 59759\n68430 100000\n64100 96133\n85177 100000\n75585 100000\n35440 53145\n28525 42781\n99598 100000\n73494 100000\n16330 24552\n66447 99688\n58684 88017\n1767 2660\n98136 100000\n56488 84725\n62936 94414\n75487 100000\n15893 23899\n82167 100000\n33443 50147\n90616 100000\n90862 100000\n11964 17956\n86158 100000\n44618 66915\n72313 100000\n5560 8357\n610 934\n59886 89853\n44395 66584\n43672 65508\n46455 69641\n60299 90461\n68676 100000\n9258 13888\n68967 100000\n21336 32071\n85261 100000\n12919 19390\n9123 13675\n4192 6311\n52802 79134\n15030 22611\n80728 100000\n30975 46496\n85413 100000\n1935 2909\n19306 29019\n68341 100000\n96326 100000\n62892 94350\n50322 75438\n10200 15311\n2780 4194\n93647 100000\n5402 8118\n27749 41615\n14452 21729\n48476 72647\n37155 55710\n53338 79956\n4151 6248\n23373 35076\n94889 100000\n65003 97494\n34374 51548\n73906 100000\n87593 100000\n58765 88144\n82594 100000\n61337 92016\n75998 100000\n83956 100000\n65221 97824\n47481 71156\n30730 46111\n89536 100000\n77360 100000\n66213 99338\n33350 50005\n93041 100000\n48563 72785\n36952 55405\n91570 100000\n70034 100000\n30599 45910\n35951 53899\n48378 72496\n73313 100000\n36783 55167\n35122 52676\n68388 100000\n17167 25800\n20924 31456\n12830 19251\n86627 100000\n79345 100000\n26147 39232\n56558 84829\n35441 53146\n66176 99281\n70215 100000\n81725 100000\n25401 38113\n82096 100000\n42957 64425\n83002 100000\n65307 97956\n44449 66661\n39016 58488\n61083 91635\n98836 100000\n24152 36245\n2837 4283\n48855 73228\n70080 100000\n69938 100000\n98343 100000\n28451 42670\n2408 3619\n53639 80394\n17631 26489\n22465 33721\n63309 94954\n81075 100000\n65265 97887\n36968 55430\n39750 59602\n88947 100000\n58577 87857\n70079 100000\n8906 13364\n38154 57213\n59018 88517\n57835 86734\n30136 45193\n47086 70581\n15043 22632\n34334 51481\n51785 77608\n42258 63389\n65730 98602\n71442 100000\n10519 15779\n2691 4052\n2891 4363\n90294 100000\n81350 100000\n57910 86848\n48927 73337\n21337 32072\n83106 100000\n2594 3911\n37923 56865\n7732 11617\n7692 11558\n16794 25243\n41608 62406\n4253 6400\n16378 24625\n98607 100000\n89240 100000\n30036 45039\n36873 55290\n7082 10649\n53083 79560\n18245 27412\n60260 90399\n84879 100000\n34849 52273\n95758 100000\n68086 100000\n93853 100000\n52324 78417\n36533 54775\n40384 60557\n33743 50598\n5661 8509\n1054 1591\n58176 87254\n34860 52291\n77586 100000\n4468 6725\n65701 98557\n73920 100000\n45955 68907\n13754 20674\n69789 100000\n39649 59453\n41242 61858\n47024 70487\n53344 79966\n50073 75052\n19050 28641\n469 718\n68505 100000\n51768 77583\n82675 100000\n94464 100000\n66830 100000\n5405 8122\n94249 100000\n67448 100000\n13759 20681\n55390 83063\n79143 100000\n73485 100000\n56114 84155\n32620 48928\n85959 100000\n33102 49643\n60772 91167\n92881 100000\n67285 100000\n27791 41679\n92803 100000\n53848 80706\n53541 80250\n51335 76950\n9178 13761\n50062 75036\n89153 100000\n69468 100000\n53168 79690\n9311 13972\n87078 100000\n85357 100000\n50121 75127\n83500 100000\n68115 100000\n28543 42806\n41775 62669\n3575 5385\n48486 72664\n84018 100000\n22663 34020\n95402 100000\n17157 25784\n58003 86989\n30875 46334\n48384 72506\n87643 100000\n30068 45084\n70605 100000\n12439 18667\n57148 85705\n3184 4804\n67152 100000\n2817 4252\n89816 100000\n69034 100000\n90222 100000\n9926 14902\n5748 8635\n54002 80937\n78173 100000\n61378 92079\n11343 17027\n71256 100000\n52681 78955\n33744 50600\n85073 100000\n22578 33891\n1195 1810\n72368 100000\n16553 24891\n47951 71859\n79657 100000\n70379 100000\n61979 92981\n28105 42148\n73801 100000\n33645 50453\n61417 92131\n68153 100000\n32867 49296\n52805 79139\n13273 19929\n4531 6818\n13617 20465\n25073 37631\n33497 50229\n66175 99280\n4774 7191\n31280 46938\n48905 73305\n34397 51584\n1693 2549\n66376 99582\n86748 100000\n67995 100000\n55009 82484\n17960 26983\n88021 100000\n92889 100000\n21062 31659\n5259 7906\n70769 100000\n96204 100000\n38539 57796\n15373 23131\n9441 14159\n27761 41632\n54339 81446\n83087 100000\n35546 53296\n94473 100000\n51251 76831\n93233 100000\n81914 100000\n49194 73732\n46286 69395\n15413 23192\n94935 100000\n31480 47231\n26817 40216\n32410 48624\n87382 100000\n86410 100000\n20856 31347\n76056 100000\n57727 86578\n75763 100000\n28104 42147\n43557 65339\n73815 100000\n66131 99217\n16132 24250\n20923 31455\n84166 100000\n63013 94529\n37868 56780\n26805 40199\n88302 100000\n49395 74031\n29067 43594\n65957 98950\n30550 45838\n50516 75731\n92012 100000\n19438 29225\n64667 96989\n73076 100000\n31199 46829\n35678 53491\n87675 100000\n1891 2848\n91366 100000\n56142 84198\n44083 66114\n1004 1523\n23674 35519\n79004 100000\n73366 100000\n49109 73608\n52195 78225\n55561 83328\n12348 18533\n67172 100000\n13823 20779\n58362 87547\n29827 44727\n55121 82660\n42119 63175\n63726 95562\n61410 92120\n3218 4857\n65412 98122\n69946 100000\n74076 100000\n8130 12207\n10 18\n82088 100000\n26025 39043\n20337 30573\n9527 14293\n44943 67401\n24430 36663\n94474 100000\n96448 100000\n97796 100000\n83740 100000\n56976 85451\n17024 25576\n95660 100000\n74841 100000\n19335 29069\n28549 42816\n69660 100000\n82880 100000\n86187 100000\n4051 6088\n61053 91590\n8262 12406\n28025 42030\n44445 66655\n13483 20256\n63407 95092\n21356 32098\n25760 38641\n8009 12022\n5047 7590\n18504 27802\n83483 100000\n91276 100000\n22392 33611\n7146 10749\n75582 100000\n57830 86728\n68080 100000\n64823 97220\n7604 11427\n94900 100000\n98041 100000\n9963 14956\n60825 91246\n16172 24313\n25347 38031\n11583 17384\n71077 100000\n18482 27769\n13101 19673\n11312 16980\n51068 76559\n83651 100000\n62978 94476\n3849 5792\n53006 79442\n39257 58855\n38250 57360\n21675 32561\n65410 98119\n31403 47117\n6085 9152\n80125 100000\n41369 62052\n51582 77302\n62911 94378\n87789 100000\n24118 36197\n38736 58086\n52481 78651\n24895 37350\n79636 100000\n52269 78334\n64537 96790\n12177 18281\n23702 35561\n62670 94020\n33951 50913\n4502 6773\n81204 100000\n3265 4926\n51320 76930\n15093 22712\n31513 47282\n99660 100000\n98733 100000\n22233 33383\n74345 100000\n27016 40499\n69761 100000\n31561 47356\n60459 90705\n4302 6476\n75815 100000\n91561 100000\n42898 64336\n73735 100000\n15309 23036\n34895 52344\n36538 54781\n79743 100000\n80300 100000\n94867 100000\n59669 89521\n94874 100000\n80693 100000\n10725 16084\n28242 42351\n58545 87814\n96430 100000\n90632 100000\n19601 29473\n36465 54676\n54945 82378\n52559 78769\n81260 100000\n10923 16388\n77932 100000\n85810 100000\n69638 100000\n34448 51662\n24441 36678\n73396 100000\n75382 100000\n48870 73251\n67832 100000\n1118 1687\n11989 17994\n76656 100000\n5389 8101\n8082 12132\n75949 100000\n9226 13838\n47455 71122\n46989 70431\n40341 60488\n11738 17617\n95592 100000\n47914 71800\n700 1069\n64277 96405\n59275 88910\n77942 100000\n3649 5496\n9219 13826\n41702 62554\n39382 59046\n80659 100000\n29014 43519\n54483 81678\n1653 2494\n28977 43467\n31232 46872\n44 68\n85230 100000\n66888 100000\n77112 100000\n58347 87521\n931 1416\n49860 74749\n26485 39732\n69431 100000\n20404 30669\n39967 59925\n50466 75657\n20601 30957\n96812 100000\n52866 79237\n96499 100000\n42146 63218\n4417 6650\n12753 19139\n59781 89696\n37744 56595\n6625 9967\n57874 86790\n89041 100000\n53633 80388\n11348 17033\n62555 93850\n87399 100000\n36320 54459\n14823 22302\n14153 21284\n69362 100000\n97908 100000\n16833 25303\n73128 100000\n3774 5688\n99333 100000\n17865 26840\n58495 87741\n83174 100000\n76181 100000\n5320 7999\n80977 100000\n75978 100000\n75216 100000\n19113 28735\n80937 100000\n66045 99084\n70040 100000\n59121 88673\n69202 100000\n63314 94960\n45652 68469\n44427 66631\n87622 100000\n87366 100000\n7227 10868\n26939 40388\n66914 100000\n64415 96608\n17595 26435\n21401 32165\n33891 50826\n47093 70590\n32086 48146\n71328 100000\n24778 37176\n80709 100000\n40686 61008\n87412 100000\n78221 100000\n36147 54189\n40129 60173\n66351 99543\n79429 100000\n81406 100000\n75426 100000\n99798 100000\n38010 56996\n96311 100000\n21302 32019\n43090 64625\n46209 69282\n66951 100000\n72341 100000\n24451 36694\n59828 89767\n67487 100000\n95720 100000\n2889 4359\n64953 97425\n80392 100000\n59879 89842\n76868 100000\n54281 81357\n38831 58220\n85845 100000\n62347 93538\n38353 57512\n73971 100000\n15525 23360\n95862 100000\n89392 100000\n54282 81359\n47204 70759\n33978 50950\n10274 15424\n42869 64296\n16979 25514\n27412 41102\n55576 83349\n71001 100000\n33301 49934\n13968 21001\n14319 21528\n98525 100000\n69989 100000\n48605 72850\n4700 7073\n75268 100000\n76716 100000\n95971 100000\n21924 32933\n18307 27504\n89196 100000\n50469 75660\n42532 63794\n95725 100000\n40587 60864\n69709 100000\n7975 11977\n57935 86884\n81961 100000\n48027 71971\n12676 19026\n76180 100000\n60168 90271\n38420 57613\n58743 88108\n81638 100000\n80929 100000\n55255 82860\n23628 35448\n62294 93450\n67947 100000\n49209 73755\n83279 100000\n66359 99555\n98306 100000\n73825 100000\n26570 39862\n3589 5404\n11269 16911\n36582 54852\n74660 100000\n52544 78745\n50548 75777\n68990 100000\n39396 59065\n89060 100000\n13399 20124\n54333 81435\n25065 37616\n79716 100000\n71563 100000\n8493 12743\n5375 8083\n21819 32783\n34970 52449\n72422 100000\n2338 3518\n26780 40164\n8797 13198\n13025 19558\n41982 62976\n75525 100000\n64341 96499\n17965 26989\n9741 14617\n76717 100000\n5011 7534\n89729 100000\n56506 84750\n11500 17260\n42108 63158\n71750 100000\n18768 28221\n54131 81134\n12789 19189\n48635 72897\n4403 6628\n64622 96921\n31760 47656\n56632 84939\n32590 48883\n15992 24045\n59549 89331\n39611 59394\n57761 86629\n20952 31496\n20995 31563\n71088 100000\n30159 45230\n11054 16588\n74441 100000\n53920 80817\n86008 100000\n20352 30598\n46307 69428\n32203 48312\n48363 72473\n97755 100000\n52856 79219\n36029 54017\n24040 36077\n61398 92104\n28600 42891\n9379 14071\n62174 93263\n35793 53662\n22699 34070\n10455 15690\n79168 100000\n47886 71756\n37887 56809\n65287 97924\n96697 100000\n90837 100000\n96027 100000\n68755 100000\n18886 28403\n32648 48969\n89032 100000\n85133 100000\n59030 88538\n39593 59368\n38645 57946\n36563 54819\n30534 45811\n19246 28933\n37388 56057\n56328 84482\n722 1098\n25744 38619\n74393 100000\n44695 67031\n65832 98760\n89868 100000\n82196 100000\n48208 72237\n33930 50880\n22382 33595\n25826 38749\n74553 100000\n49583 74321\n83118 100000\n72187 100000\n79652 100000\n98211 100000\n23516 35287\n47571 71289\n38686 58011\n71170 100000\n66823 100000\n84052 100000\n76839 100000\n18588 27934\n33053 49571\n55818 83711\n47049 70525\n11621 17440\n86854 100000\n64385 96564\n51458 77126\n42955 64423\n48880 73265\n96643 100000\n99379 100000\n32895 49338\n54177 81201\n55869 83784\n53734 80532\n54092 81073\n52787 79112\n77819 100000\n8511 12767\n83851 100000\n5859 8812\n81157 100000\n84563 100000\n69345 100000\n34109 51143\n44806 67196\n74657 100000\n81013 100000\n99860 100000\n13735 20647\n66569 99864\n48271 72334\n84064 100000\n81894 100000\n78656 100000\n87360 100000\n8814 13226\n93372 100000\n71614 100000\n18604 27959\n47700 71485\n54606 81859\n80335 100000\n23565 35360\n42424 63636\n6544 9844\n36892 55317\n29609 44397\n76856 100000\n86263 100000\n79937 100000\n30627 45958\n67459 100000\n16598 24959\n83357 100000\n98949 100000\n57547 86313\n11000 16504\n15146 22791\n49006 73452\n66515 99789\n34577 51858\n41974 62966\n10484 15732\n56206 84294\n28264 42385\n85691 100000\n72300 100000\n9625 14443\n13355 20058\n12814 19227\n67028 100000\n44930 67383\n89906 100000\n53680 80450\n74706 100000\n75370 100000\n3331 5026\n39191 58744\n97852 100000\n62369 93571\n25606 38406\n45265 67892\n77195 100000\n45471 68199\n16489 24797\n77767 100000\n24168 36270\n53 83\n53174 79700\n60500 90759\n69512 100000\n74316 100000\n92924 100000\n27028 40520\n46559 69798\n15654 23551\n11809 17727\n98121 100000\n22218 33363\n45906 68842\n89299 100000\n43768 65649\n19471 29278\n80196 100000\n31078 46645\n38876 58289\n18743 28182\n76802 100000\n22164 33286\n42913 64360\n80586 100000\n39047 58535\n19073 28677\n6973 10484\n49935 74854\n77718 100000\n80399 100000\n24166 36267\n39289 58905\n65812 98727\n45401 68097\n50729 76052\n64890 97320\n91841 100000\n32804 49206\n31406 47121\n15069 22676\n46183 69248\n20550 30876\n96599 100000\n44811 67202\n13879 20865\n48443 72597\n18339 27551\n86053 100000\n35345 52998\n99917 100000\n84413 100000\n88094 100000\n59683 89543\n5222 7852\n97469 100000\n80452 100000\n24725 37094\n68110 100000\n70684 100000\n82995 100000\n17842 26812\n47384 71026\n89498 100000\n93068 100000\n16931 25447\n36638 54939\n66925 100000\n94178 100000\n19669 29572\n55073 82583\n31572 47371\n81074 100000\n12889 19344\n13836 20799\n78075 100000\n29085 43619\n19396 29162\n80045 100000\n99353 100000\n12867 19311\n50571 75809\n92651 100000\n51386 77028\n17143 25760\n85305 100000\n85864 100000\n60297 90458\n30528 45804\n45483 68219\n20127 30258\n36984 55456\n48434 72582\n55518 83260\n21587 32442\n75331 100000\n53203 79745\n78825 100000\n98254 100000\n56997 85483\n16968 25499\n52027 77979\n85891 100000\n14223 21389\n95119 100000\n89511 100000\n66899 100000\n33613 50403\n93974 100000\n67432 100000\n38757 58119\n65442 98163\n57932 86879\n32730 49098\n55914 83851\n95761 100000\n13403 20131\n6733 10127\n47168 70702\n98188 100000\n93500 100000\n73556 100000\n38965 58414\n3703 5577\n89558 100000\n7912 11889\n48997 73439\n90582 100000\n52568 78781\n90501 100000\n19964 30016\n19230 28908\n31278 46936\n47383 71025\n51928 77825\n28932 43400\n20933 31469\n55993 83972\n74778 100000\n38948 58389\n66281 99441\n39721 59561\n38218 57310\n54613 81869\n33473 50191\n19952 29997\n34279 51398\n39786 59655\n21123 31749\n97236 100000\n23530 35304\n42846 64261\n61134 91708\n58463 87700\n61323 91993\n50569 75806\n64940 97403\n84506 100000\n64697 97037\n52576 78794\n13906 20906\n37403 56079\n36096 54115\n73306 100000\n44304 66446\n41377 62063\n24416 36643\n76193 100000\n56365 84538\n8466 12704\n67441 100000\n78025 100000\n30965 46478\n23581 35384\n86299 100000\n48548 72761\n99714 100000\n28060 42083\n28959 43441\n98009 100000\n67772 100000\n78845 100000\n13307 19981\n2851 4302\n60849 91283\n37000 55479\n20058 30156\n18874 28384\n80913 100000\n80503 100000\n19436 29223\n7263 10919\n75852 100000\n82925 100000\n89016 100000\n39270 58875\n68920 100000\n42730 64084\n25062 37611\n99516 100000\n60386 90596\n79699 100000\n94216 100000\n97062 100000\n13730 20639\n62340 93527\n36272 54384\n23938 35921\n96047 100000\n72976 100000\n18205 27353\n7555 11356\n29003 43504\n66076 99132\n22905 34371\n51282 76876\n64067 96085\n59833 89773\n37989 56966\n44415 66612\n67996 100000\n83233 100000\n27409 41097\n40278 60396\n15035 22618\n74611 100000\n85962 100000\n73840 100000\n99829 100000\n60678 91024\n76044 100000\n39778 59644\n16474 24774\n74846 100000\n86268 100000\n15555 23406\n41179 61760\n27400 41082\n71651 100000\n83546 100000\n56154 84216\n79635 100000\n79592 100000\n13830 20788\n7815 11740\n83914 100000\n82362 100000\n13806 20754\n16418 24685\n13 24\n33286 49911\n11173 16766\n96017 100000\n62060 93097\n85247 100000\n90906 100000\n5026 7556\n5779 8682\n74264 100000\n87022 100000\n69304 100000\n32757 49135\n43754 65630\n17473 26260\n87323 100000\n2680 4036\n31506 47270\n37764 56626\n62306 93469\n45596 68389\n96367 100000\n49871 74768\n11217 16831\n77343 100000\n15313 23042\n60401 90618\n13125 19709\n86601 100000\n54315 81410\n54340 81448\n13594 20429\n26497 39748\n15837 23814\n7891 11855\n4630 6972\n53258 79827\n63775 95634\n18031 27090\n99635 100000\n6399 9643\n57766 86636\n62785 94193\n68527 100000\n13061 19610\n56975 85450\n8093 12151\n88490 100000\n42303 63451\n73993 100000\n19677 29584\n45249 67869\n68773 100000\n72227 100000\n83426 100000\n9463 14189\n57585 86366\n65843 98776\n7215 10851\n35391 53069\n10241 15373\n86242 100000\n62792 94203\n82705 100000\n65584 98379\n89043 100000\n29193 43778\n49810 74677\n97901 100000\n47679 71456\n42433 63648\n21241 31927\n58069 87093\n84623 100000\n60352 90543\n76783 100000\n97202 100000\n19238 28922\n69808 100000\n93282 100000\n33234 49837\n76281 100000\n36786 55172\n49472 74147\n46677 69970\n80936 100000\n85395 100000\n26928 40374\n22848 34283\n41410 62112\n12308 18468\n28671 43002\n82358 100000\n3620 5450\n59969 89981\n54331 81433\n73123 100000\n53362 79988\n38554 57818\n15134 22777\n3812 5741\n98870 100000\n5800 8718\n83237 100000\n84845 100000\n76859 100000\n23540 35319\n92991 100000\n38174 57248\n16964 25493\n69133 100000\n35030 52539\n77675 100000\n69609 100000\n55954 83914\n90536 100000\n82436 100000\n90902 100000\n64331 96483\n92167 100000\n85065 100000\n15314 23043\n29569 44337\n85847 100000\n28880 43319\n79847 100000\n47929 71822\n82448 100000\n91253 100000\n58633 87944\n7567 11373\n41044 61559\n99784 100000\n66808 100000\n53965 80885\n15120 22754\n61909 92873\n62145 93215\n50044 75012\n26801 40195\n19215 28886\n36416 54603\n29069 43596\n78738 100000\n33078 49608\n6229 9380\n2898 4374\n18422 27676\n74369 100000\n20358 30606\n75914 100000\n27843 41761\n9342 14017\n54643 81913\n87438 100000\n42952 64419\n75040 100000\n70468 100000\n9530 14299\n56355 84521\n67954 100000\n93456 100000\n32252 48391\n95243 100000\n64270 96395\n25966 38957\n84714 100000\n3234 4881\n7474 11231\n49856 74743\n87294 100000\n58981 88465\n24233 36363\n92953 100000\n61725 92585\n76602 100000\n19811 29788\n26611 39922\n38776 58145\n16659 25052\n46962 70392\n87079 100000\n6814 10241\n58561 87834\n12989 19500\n26766 40143\n53589 80316\n25949 38931\n47620 71365\n39947 59894\n25320 37992\n29174 43751\n5781 8684\n50371 75516\n66383 99591\n25303 37967\n37109 55641\n93192 100000\n67720 100000\n80079 100000\n38618 57907\n99950 100000\n33685 50510\n57138 85688\n63625 95418\n36742 55101\n40782 61165\n53000 79432\n85386 100000\n33354 50011\n91826 100000\n18451 27717\n75650 100000\n48012 71948\n5541 8326\n41824 62745\n95284 100000\n47127 70640\n8894 13344\n67299 100000\n14225 21391\n96218 100000\n8207 12324\n7003 10528\n25739 38612\n44751 67116\n67505 100000\n65603 98407\n94773 100000\n89585 100000\n79773 100000\n34241 51343\n8793 13191\n5686 8545\n20479 30778\n48130 72121\n70115 100000\n89151 100000\n71050 100000\n14371 21606\n92650 100000\n68907 100000\n8401 12609\n12504 18762\n67495 100000\n97228 100000\n4732 7124\n18662 28050\n56474 84703\n28328 42483\n29856 44771\n6757 10162\n36698 55026\n63915 95852\n20239 30426\n6870 10326\n96505 100000\n91553 100000\n20701 31112\n76900 100000\n34671 51998\n44025 66032\n19448 29240\n87441 100000\n83913 100000\n5395 8109\n6735 10130\n56237 84344\n79459 100000\n18517 27823\n94742 100000\n41321 61982\n16485 24791\n20296 30509\n25449 38184\n1658 2502\n74278 100000\n41081 61614\n15791 23747\n20249 30443\n40376 60544\n42740 64103\n53279 79862\n58608 87903\n19537 29374\n14329 21546\n13175 19789\n27438 41143\n50171 75203\n91501 100000\n3411 5148\n16741 25170\n44097 66135\n13675 20553\n18663 28052\n82580 100000\n31259 46908\n53763 80575\n70818 100000\n37623 56418\n59749 89650\n47555 71266\n22859 34304\n50205 75257\n99335 100000\n48558 72777\n24901 37358\n83445 100000\n37962 56923\n9924 14900\n92859 100000\n93479 100000\n34352 51513\n81645 100000\n52991 79418\n31253 46900\n78265 100000\n93432 100000\n24657 36994\n15681 23591\n99462 100000\n17081 25662\n35275 52896\n28256 42373\n75820 100000\n64801 97190\n74042 100000\n99902 100000\n86712 100000\n40192 60270\n68178 100000\n29338 44011\n12619 18934\n52657 78918\n65974 98971\n75917 100000\n97015 100000\n79593 100000\n33362 50024\n53791 80616\n84114 100000\n44169 66243\n49219 73771\n25113 37691\n45517 68266\n90591 100000\n22306 33487\n1818 2735\n38206 57295\n77869 100000\n22586 33903\n3440 5192\n32755 49132\n5076 7635\n32523 48791\n96723 100000\n30202 45295\n70049 100000\n13107 19681\n12419 18636\n91545 100000\n82758 100000\n24962 37457\n30944 46443\n40537 60787\n34769 52148\n43589 65384\n9715 14577\n82815 100000\n49072 73550\n19154 28801\n78410 100000\n13405 20134\n26697 40043\n14818 22295\n64882 97308\n90979 100000\n53253 79822\n10209 15323\n83298 100000\n18219 27375\n61917 92885\n89294 100000\n48828 73186\n57630 86436\n75761 100000\n28972 43460\n55283 82903\n92051 100000\n24220 36345\n4377 6591\n19381 29140\n34558 51826\n14929 22458\n24389 36603\n37307 55939\n78902 100000\n14013 21068\n79735 100000\n10056 15092\n96586 100000\n79882 100000\n14148 21277\n24753 37138\n47047 70521\n59045 88561\n13354 20056\n57283 85915\n82278 100000\n73146 100000\n10498 15753\n53337 79955\n37337 55981\n51983 77912\n91318 100000\n13549 20358\n26190 39290\n12625 18943\n36266 54373\n83852 100000\n39927 59864\n57809 86702\n59680 89539\n93793 100000\n14956 22496\n84571 100000\n98808 100000\n72506 100000\n47695 71478\n24340 36530\n74941 100000\n56577 84858\n27820 41722\n54876 82274\n11675 17525\n98392 100000\n61075 91623\n37706 56536\n47629 71381\n24656 36992\n14622 21986\n51658 77415\n76907 100000\n78803 100000\n22959 34453\n395 606\n17416 26175\n56661 84980\n41131 61687\n98345 100000\n10957 16433\n8982 13472\n83955 100000\n46005 68984\n6353 9574\n29042 43561\n33139 49697\n772 1177\n55925 83868\n23654 35489\n56213 84306\n79209 100000\n95080 100000\n41291 61936\n84428 100000\n82625 100000\n40074 60089\n76293 100000\n3279 4949\n55177 82745\n41149 61712\n91707 100000\n70743 100000\n36924 55366\n82844 100000\n486 743\n4312 6492\n47927 71820\n69840 100000\n3267 4930\n97138 100000\n63439 95143\n47786 71615\n46951 70372\n16953 25477\n42889 64325\n66820 100000\n26853 40267\n96480 100000\n46915 70319\n62626 93954\n74758 100000\n6123 9214\n93972 100000\n13746 20662\n49921 74836\n84730 100000\n4752 7153\n62418 93645\n31016 46554\n1955 2941\n22548 33842\n43743 65614\n37534 56273\n27121 40658\n54034 80986\n60656 90989\n33205 49798\n56216 84311\n10090 15144\n55553 83316\n7977 11981\n9571 14361\n656 1000\n57121 85663\n35979 53941\n78191 100000\n29362 44047\n54764 82104\n70014 100000\n59625 89451\n35235 52838\n48526 72725\n56143 84199\n85097 100000\n9506 14261\n23323 34998\n17730 26636\n99484 100000\n31354 47048\n50394 75550\n48696 72989\n83022 100000\n38139 57187\n38977 58431\n19642 29531\n39026 58504\n10235 15364\n44820 67215\n99272 100000\n89482 100000\n43518 65280\n90949 100000\n27750 41617\n84585 100000\n53399 80042\n95552 100000\n7262 10918\n1262 1913\n33636 50439\n6746 10145\n73670 100000\n97800 100000\n13501 20285\n30491 45741\n77135 100000\n31112 46692\n56993 85477\n75002 100000\n69253 100000\n15368 23126\n20175 30329\n96700 100000\n68471 100000\n10148 15233\n1553 2351\n7518 11300\n94056 100000\n58993 88481\n24270 36420\n73897 100000\n6502 9784\n35931 53869\n13509 20299\n72273 100000\n80947 100000\n28067 42092\n17381 26129\n57119 85660\n97250 100000\n34502 51744\n26555 39837\n88098 100000\n84011 100000\n31032 46579\n61764 92647\n84278 100000\n13876 20861\n92918 100000\n41010 61503\n9077 13607\n7080 10647\n9280 13920\n14865 22362\n32772 49157\n14776 22231\n55971 83940\n87556 100000\n87468 100000\n12043 18080\n81223 100000\n97656 100000\n689 1054\n98866 100000\n44587 66868\n78899 100000\n63297 94935\n5975 8983\n10394 15597\n44411 66606\n83050 100000\n75751 100000\n8812 13223\n1712 2578\n37147 55696\n52125 78121\n79084 100000\n503 770\n69631 100000\n86497 100000\n84257 100000\n24767 37160\n79044 100000\n69477 100000\n93936 100000\n3496 5271\n68900 100000\n55733 83585\n8879 13322\n65588 98385\n55446 83146\n15240 22930\n30555 45845\n49302 73892\n48675 72954\n92192 100000\n24699 37054\n22439 33680\n40853 61271\n69541 100000\n84670 100000\n36778 55160\n56025 84023\n63711 95541\n9895 14856\n54889 82293\n18197 27341\n49402 74042\n58373 87564\n78493 100000\n79583 100000\n97814 100000\n86115 100000\n27179 40744\n58602 87894\n2554 3849\n13117 19697\n82459 100000\n67086 100000\n38529 57783\n48632 72893\n53166 79687\n67841 100000\n86459 100000\n25754 38633\n37775 56644\n36477 54694\n99777 100000\n5218 7845\n1837 2763\n77589 100000\n81731 100000\n97440 100000\n25367 38059\n44521 66770\n99198 100000\n16635 25015\n22282 33450\n82201 100000\n24946 37430\n32237 48367\n11080 16629\n75504 100000\n43253 64875\n27857 41782\n11852 17790\n6565 9875\n16565 24910\n40604 60891\n65721 98587\n88025 100000\n33072 49598\n92228 100000\n39908 59835\n67110 100000\n40975 61450\n82457 100000\n62166 93250\n70142 100000\n88859 100000\n49210 73757\n56711 85053\n94006 100000\n12381 18581\n84419 100000\n77123 100000\n40925 61376\n54791 82145\n37826 56718\n69505 100000\n32879 49314\n84405 100000\n9262 13893\n58971 88451\n91704 100000\n21053 31647\n63591 95366\n50979 76424\n63076 94627\n2212 3324\n70194 100000\n95506 100000\n89441 100000\n2764 4167\n26056 39094\n15495 23317\n80978 100000\n41274 61910\n20322 30549\n75845 100000\n84277 100000\n46639 69913\n43544 65321\n60535 90812\n65706 98564\n81225 100000\n93669 100000\n54453 81635\n57038 85543\n9282 13924\n57564 86336\n82747 100000\n70651 100000\n10489 15739\n88156 100000\n77211 100000\n31288 46947\n96296 100000\n97528 100000\n92335 100000\n67202 100000\n21293 32004\n20143 30283\n38384 57559\n27108 40639\n84843 100000\n14913 22433\n93687 100000\n28079 42109\n75104 100000\n76816 100000\n53903 80791\n69876 100000\n1975 2968\n37341 55986\n38690 58019\n33056 49575\n62824 94254\n27283 40901\n72822 100000\n70324 100000\n86311 100000\n29768 44636\n19166 28817\n19655 29551\n38996 58458\n98055 100000\n70696 100000\n43235 64846\n36245 54340\n54421 81583\n43425 65140\n38141 57191\n17057 25625\n91772 100000\n14616 21975\n14032 21100\n34323 51465\n11896 17859\n74946 100000\n84248 100000\n47477 71152\n80566 100000\n88583 100000\n16433 24708\n82997 100000\n65054 97574\n71635 100000\n18150 27267\n63360 95029\n36369 54535\n21213 31882\n10321 15493\n72563 100000\n76930 100000\n60906 91372\n51954 77866\n87697 100000\n51261 76846\n36766 55140\n70946 100000\n95246 100000\n17091 25679\n4159 6260\n94164 100000\n56313 84462\n91988 100000\n82763 100000\n40608 60897\n94640 100000\n81815 100000\n43331 65000\n32474 48719\n2705 4073\n70045 100000\n8617 12929\n87070 100000\n65081 97617\n1278 1937\n74489 100000\n5284 7943\n12073 18125\n66105 99176\n3426 5172\n8825 13242\n75913 100000\n30546 45831\n78580 100000\n1165 1764\n33663 50480\n3632 5469\n64562 96831\n5916 8892\n96671 100000\n84939 100000\n87391 100000\n88069 100000\n84986 100000\n52945 79352\n96255 100000\n74851 100000\n22913 34383\n5942 8931\n50007 74959\n98189 100000\n53933 80838\n42288 63433\n63981 95941\n6669 10031\n49709 74514\n61700 92549\n33409 50097\n48736 73048\n29970 44945\n29417 44122\n45588 68379\n87227 100000\n25711 38567\n39982 59946\n31694 47557\n54778 82125\n88777 100000\n96314 100000\n21854 32834\n47369 71004\n46461 69650\n99744 100000\n1418 2146\n10113 15181\n8164 12257\n55159 82717\n40678 60997\n48399 72525\n34949 52417\n29980 44957\n63229 94840\n36868 55284\n49619 74374\n85146 100000\n87370 100000\n40239 60340\n75057 100000\n65761 98649\n18808 28285\n53373 80004\n34578 51859\n55774 83653\n45881 68800\n41400 62096\n70255 100000\n21144 31779\n63735 95573\n42903 64344\n90529 100000\n57296 85935\n67026 100000\n16993 25533\n45947 68897\n85442 100000\n69158 100000\n83641 100000\n96097 100000\n25914 38881\n88368 100000\n86318 100000\n75284 100000\n88171 100000\n26117 39183\n14350 21577\n10994 16494\n26725 40079\n27258 40865\n79580 100000\n16604 24968\n99948 100000\n88462 100000\n85760 100000\n89483 100000\n44200 66289\n2432 3659\n94151 100000\n99074 100000\n46113 69145\n35006 52506\n40922 61371\n33445 50150\n18630 27998\n96803 100000\n51029 76500\n62301 93462\n98264 100000\n59535 89310\n66232 99366\n74025 100000\n15005 22577\n13609 20451\n67307 100000\n89397 100000\n59036 88548\n7128 10720\n19384 29145\n33982 50956\n28186 42266\n48781 73115\n4383 6599\n72354 100000\n37364 56021\n97393 100000\n75431 100000\n12137 18217\n57919 86859\n43766 65646\n65523 98286\n17061 25632\n17559 26383\n64161 96228\n33797 50687\n25994 38996\n12276 18425\n19287 28990\n27047 40546\n96116 100000\n36264 54370\n86758 100000\n95751 100000\n80665 100000\n55942 83895\n46785 70129\n24257 36398\n80883 100000\n47776 71596\n45606 68402\n44779 67157\n18166 27294\n92737 100000\n55476 83193\n71455 100000\n2388 3591\n90138 100000\n10707 16056\n2543 3832\n31140 46732\n30899 46371\n52411 78550\n70803 100000\n2393 3596\n11712 17585\n54013 80954\n39394 59062\n81565 100000\n20301 30518\n37137 55680\n32839 49257\n21006 31581\n65646 98474\n233 358\n9016 13519\n10872 16311\n21448 32238\n91839 100000\n44179 66261\n21848 32823\n31930 47904\n68862 100000\n88938 100000\n85999 100000\n59378 89063\n50968 76407\n93058 100000\n89149 100000\n356 549\n13839 20802\n21389 32147\n47035 70504\n25958 38945\n11144 16723\n4187 6305\n1067 1612\n74424 100000\n18971 28527\n84311 100000\n47866 71726\n53695 80475\n26174 39268\n3635 5474\n89715 100000\n479 732\n55074 82584\n7772 11676\n5188 7803\n83392 100000\n41334 61998\n22666 34025\n20954 31499\n44752 67117\n10371 15560\n14789 22251\n48504 72688\n73883 100000\n46064 69077\n16540 24870\n77602 100000\n66407 99626\n65975 98973\n76836 100000\n67220 100000\n10108 15173\n83456 100000\n54749 82080\n96383 100000\n31520 47292\n96970 100000\n17500 26296\n20150 30293\n25008 37526\n94406 100000\n63736 95574\n55311 82948\n64081 96103\n58154 87222\n10396 15601\n19786 29749\n60609 90919\n95456 100000\n16506 24824\n31213 46851\n24207 36324\n29746 44601\n83971 100000\n91656 100000\n1 2\n78024 100000\n56059 84073\n94862 100000\n36132 54166\n38621 57910\n3211 4845\n526 807\n18538 27859\n52040 77998\n21908 32910\n9929 14907\n3801 5727\n90465 100000\n34648 51962\n46566 69808\n50149 75167\n72334 100000\n87658 100000\n79425 100000\n61466 92205\n24094 36158\n4083 6142\n817 1242\n73072 100000\n64954 97426\n98876 100000\n97764 100000\n52880 79254\n92569 100000\n64258 96379\n69945 100000\n52506 78690\n18101 27192\n37453 56156\n44668 66987\n50153 75174\n53627 80378\n59607 89423\n92258 100000\n58598 87887\n35092 52628\n25009 37528\n25732 38599\n95607 100000\n91751 100000\n11652 17489\n10601 15900\n72102 100000\n37657 56469\n13473 20242\n193 296\n24087 36147\n58841 88252\n57849 86753\n33489 50219\n32752 49129\n36925 55367\n17647 26513\n98463 100000\n81061 100000\n61745 92617\n85554 100000\n68603 100000\n17813 26767\n87105 100000\n21737 32654\n30216 45316\n15826 23799\n96560 100000\n68593 100000\n50321 75436\n97564 100000\n94860 100000\n63979 95939\n67450 100000\n28215 42312\n29597 44379\n712 1086\n85114 100000\n6903 10375\n51914 77800\n4173 6282\n41496 62243\n80089 100000\n83505 100000\n21845 32819\n65799 98708\n5329 8011\n7738 11625\n45403 68099\n30485 45732\n10670 16001\n87444 100000\n36166 54216\n21842 32814\n80691 100000\n50251 75330\n84637 100000\n82949 100000\n75554 100000\n9075 13603\n5262 7910\n83146 100000\n69683 100000\n53046 79503\n76089 100000\n33922 50870\n15072 22681\n46821 70180\n76172 100000\n86294 100000\n53858 80722\n24021 36049\n42038 63057\n39385 59051\n858 1304\n73295 100000\n59304 88951\n19500 29320\n3165 4775\n65840 98771\n68925 100000\n73653 100000\n16900 25398\n6243 9400\n91786 100000\n29322 43983\n1622 2445\n438 667\n43110 64659\n3935 5924\n38305 57443\n36423 54613\n68434 100000\n18540 27862\n93428 100000\n68158 100000\n29648 44456\n65876 98827\n88162 100000\n20382 30640\n57100 85632\n90830 100000\n22417 33648\n88911 100000\n47650 71413\n11177 16772\n6809 10233\n85263 100000\n43622 65432\n44032 66042\n48813 73163\n20748 31183\n32377 48575\n13948 20971\n15593 23461\n29749 44605\n7461 11212\n33515 50253\n5535 8317\n30668 46018\n25685 38522\n93375 100000\n92583 100000\n71466 100000\n13423 20164\n64231 96337\n20370 30622\n99062 100000\n15733 23668\n16898 25396\n82040 100000\n83394 100000\n70395 100000\n87152 100000\n673 1027\n22973 34473\n43986 65975\n62308 93473\n93871 100000\n76814 100000\n86822 100000\n24928 37403\n95948 100000\n21697 32590\n80710 100000\n78777 100000\n6592 9915\n67081 100000\n88390 100000\n35197 52787\n24258 36400\n17403 26159\n80233 100000\n10358 15545\n7200 10827\n39748 59598\n99730 100000\n28302 42444\n30652 45994\n78606 100000\n50756 76095\n70325 100000\n82931 100000\n68561 100000\n35022 52530\n96579 100000\n58405 87610\n76253 100000\n42553 63822\n31673 47525\n17545 26364\n61487 92237\n46305 69426\n9679 14522\n62137 93203\n41 64\n3203 4831\n99160 100000\n16577 24926\n1685 2538\n86238 100000\n30677 46033\n71111 100000\n38039 57043\n11088 16644\n91181 100000\n50525 75743\n83155 100000\n61801 92703\n23810 35723\n34085 51108\n8541 12809\n69217 100000\n40906 61346\n7449 11192\n2463 3710\n21259 31957\n8322 12493\n98323 100000\n86057 100000\n7009 10537\n37146 55695\n67655 100000\n10194 15303\n78990 100000\n31123 46707\n73981 100000\n96732 100000\n10019 15038\n33310 49947\n15659 23557\n4876 7333\n75807 100000\n55562 83329\n46797 70145\n77867 100000\n56278 84405\n53216 79766\n65106 97651\n88227 100000\n45633 68441\n76551 100000\n53952 80866\n31949 47933\n2462 3708\n22933 34413\n82191 100000\n50974 76417\n64336 96490\n59109 88653\n78376 100000\n41819 62738\n64558 96823\n62659 94001\n75164 100000\n26609 39918\n24612 36921\n99824 100000\n49656 74435\n61738 92607\n81850 100000\n69913 100000\n57559 86329\n59574 89370\n57787 86669\n3855 5801\n5903 8874\n98843 100000\n66002 99018\n90871 100000\n79857 100000\n78400 100000\n97558 100000\n68245 100000\n75148 100000\n44888 67320\n40312 60447\n92122 100000\n32091 48154\n5693 8556\n82824 100000\n39202 58765\n19221 28894\n60129 90219\n40317 60454\n26578 39872\n37846 56748\n92411 100000\n74873 100000\n54521 81733\n46399 69559\n28562 42836\n73824 100000\n73073 100000\n32661 48989\n99181 100000\n16091 24192\n72287 100000\n61915 92882\n92643 100000\n72773 100000\n85575 100000\n14353 21581\n12144 18228\n48537 72745\n26134 39208\n452 691\n24584 36883\n54821 82193\n88008 100000\n96965 100000\n99554 100000\n92135 100000\n82555 100000\n96182 100000\n60866 91308\n90883 100000\n9394 14093\n45900 68832\n28602 42894\n8641 12966\n40977 61454\n3844 5786\n26704 40052\n17055 25621\n91142 100000\n37192 55764\n44357 66526\n48658 72928\n66300 99468\n74401 100000\n95740 100000\n51281 76875\n58435 87657\n8150 12238\n1679 2530\n96695 100000\n61720 92578\n52161 78173\n16262 24450\n96531 100000\n98757 100000\n38727 58072\n24599 36904\n54115 81108\n62604 93922\n99225 100000\n50762 76103\n21414 32186\n51944 77849\n45648 68463\n34984 52471\n87500 100000\n8802 13208\n30801 46227\n21999 33042\n44543 66802\n95816 100000\n8464 12702\n26447 39677\n7278 10943\n99447 100000\n87036 100000\n4362 6569\n18332 27543\n64948 97417\n10685 16020\n32493 48750\n17754 26675\n21058 31654\n76203 100000\n68271 100000\n72222 100000\n73131 100000\n17771 26702\n47006 70458\n23330 35009\n53601 80335\n11616 17433\n2801 4225\n13852 20822\n30403 45604\n40333 60477\n35070 52599\n8445 12675\n83703 100000\n38871 58281\n43111 64661\n44931 67384\n49609 74361\n84613 100000\n39586 59359\n20797 31261\n84792 100000\n23574 35373\n88967 100000\n5370 8078\n44301 66441\n66230 99364\n90740 100000\n7379 11092\n34277 51395\n16013 24077\n95011 100000\n65481 98218\n81466 100000\n60184 90293\n49827 74702\n11498 17257\n80508 100000\n69898 100000\n7286 10954\n17407 26163\n88978 100000\n12193 18306\n72693 100000\n6852 10300\n96634 100000\n78811 100000\n53061 79528\n19527 29358\n8525 12789\n67940 100000\n68724 100000\n69585 100000\n94882 100000\n79892 100000\n53748 80555\n39995 59966\n39542 59290\n26873 40294\n49738 74562\n99969 100000\n35341 52992\n4501 6771\n70868 100000\n28145 42205\n73980 100000\n22043 33105\n18686 28090\n50118 75123\n2644 3983\n6417 9671\n36354 54512\n38359 57520\n5618 8445\n19136 28774\n96709 100000\n15263 22967\n22963 34459\n36913 55352\n46969 70403\n94217 100000\n10310 15477\n81682 100000\n53402 80046\n83559 100000\n9701 14555\n54847 82232\n39399 59069\n79826 100000\n54079 81053\n47717 71511\n72360 100000\n8309 12471\n36270 54380\n46329 69463\n65881 98835\n66930 100000\n79256 100000\n28027 42033\n89560 100000\n45715 68559\n94268 100000\n60101 90180\n5798 8715\n81716 100000\n82111 100000\n88691 100000\n13031 19567\n72284 100000\n11824 17749\n83424 100000\n76685 100000\n50741 76072\n88026 100000\n13921 20931\n81422 100000\n17236 25905\n81821 100000\n69492 100000\n90148 100000\n50268 75357\n72932 100000\n2313 3477\n21771 32705\n77388 100000\n92845 100000\n66541 99828\n97459 100000\n47909 71791\n80161 100000\n68091 100000\n66417 99641\n53926 80828\n45709 68551\n44858 67273\n14593 21941\n89568 100000\n84868 100000\n80967 100000\n98938 100000\n38671 57988\n56862 85277\n27290 40913\n95381 100000\n30157 45227\n34674 52003\n94258 100000\n32978 49459\n19534 29369\n75044 100000\n27543 41303\n38214 57303\n98592 100000\n40495 60726\n87191 100000\n13650 20515\n76176 100000\n75038 100000\n18392 27632\n23994 36009\n7896 11863\n46592 69844\n23611 35425\n15396 23167\n78784 100000\n95069 100000\n84186 100000\n88897 100000\n9748 14629\n61961 92954\n75713 100000\n15998 24056\n12834 19258\n71486 100000\n75215 100000\n98355 100000\n5784 8690\n16149 24278\n47027 70492\n3240 4889\n13847 20814\n31410 47126\n24050 36092\n16583 24935\n51408 77060\n83015 100000\n90923 100000\n47457 71125\n52241 78290\n51103 76611\n98979 100000\n6442 9699\n17854 26826\n83692 100000\n23002 34513\n80340 100000\n61264 91900\n54965 82408\n84913 100000\n38927 58360\n15006 22578\n43792 65682\n59612 89431\n80284 100000\n8258 12400\n23993 36008\n72057 100000\n75707 100000\n72271 100000\n49026 73482\n73589 100000\n5683 8539\n47015 70473\n2876 4340\n82697 100000\n81715 100000\n75826 100000\n87329 100000\n94595 100000\n17568 26399\n63798 95667\n35893 53816\n8518 12777\n68435 100000\n15247 22941\n79140 100000\n31895 47854\n81671 100000\n21376 32127\n63721 95554\n1178 1782\n9554 14335\n36539 54782\n50010 74963\n56560 84833\n37477 56193\n24366 36569\n33582 50358\n57096 85626\n48852 73223\n51061 76548\n15392 23160\n78229 100000\n69515 100000\n43364 65047\n82993 100000\n6638 9989\n86884 100000\n5685 8543\n80024 100000\n13696 20587\n39882 59797\n39430 59119\n28158 42223\n44951 67413\n46839 70206\n51307 76909\n93794 100000\n1087 1642\n36979 55448\n59498 89257\n64189 96272\n69170 100000\n91359 100000\n10769 16151\n49741 74567\n21330 32063\n89395 100000\n56415 84616\n18340 27552\n2430 3655\n55529 83278\n47276 70868\n26632 39956\n55768 83643\n31216 46854\n79033 100000\n48251 72302\n27485 41219\n82992 100000\n13352 20053\n62329 93509\n52095 78081\n16333 24557\n11443 17177\n73394 100000\n10953 16428\n61455 92189\n46122 69159\n4440 6685\n15540 23384\n58291 87434\n43086 64617\n18406 27652\n91137 100000\n61394 92100\n35026 52535\n37591 56365\n17385 26134\n61549 92324\n19993 30060\n12769 19159\n9538 14312\n12569 18860\n36995 55471\n33910 50853\n48048 71998\n4671 7031\n58255 87377\n50714 76029\n37911 56844\n19725 29658\n86810 100000\n89472 100000\n60738 91112\n27010 40491\n58380 87574\n3337 5036\n95200 100000\n89266 100000\n821 1248\n12351 18537\n82890 100000\n85586 100000\n45131 67687\n23682 35531\n37622 56416\n57218 85811\n47144 70668\n85677 100000\n45805 68689\n98044 100000\n4079 6135\n70436 100000\n38723 58066\n44448 66660\n53298 79893\n72419 100000\n41056 61577\n16442 24722\n57363 86040\n62511 93784\n59244 88862\n26192 39292\n239 367\n88232 100000\n203 311\n94246 100000\n91167 100000\n14502 21800\n95566 100000\n48684 72969\n6956 10456\n32707 49062\n98968 100000\n80072 100000\n20900 31419\n96682 100000\n30476 45719\n46691 69988\n57519 86271\n33061 49582\n36215 54293\n66850 100000\n60755 91142\n39242 58834\n91317 100000\n82783 100000\n54787 82140\n99082 100000\n25211 37834\n8595 12895\n25269 37920\n26785 40170\n41518 62275\n74785 100000\n33453 50162\n8132 12210\n57947 86902\n48780 73114\n59020 88520\n93451 100000\n25592 38385\n37792 56671\n98379 100000\n80911 100000\n31356 47050\n63651 95453\n88301 100000\n84966 100000\n37610 56396\n93682 100000\n60078 90141\n83904 100000\n82145 100000\n48014 71951\n79902 100000\n74746 100000\n39040 58526\n11015 16529\n53522 80222\n21997 33038\n11870 17817\n28852 43279\n75408 100000\n16365 24605\n38454 57666\n60600 90908\n18243 27410\n81484 100000\n39346 58993\n78463 100000\n36485 54706\n55032 82522\n15686 23599\n46105 69135\n37795 56676\n47054 70533\n10631 15944\n83306 100000\n62382 93591\n29717 44562\n86091 100000\n21443 32231\n53181 79712\n36329 54472\n60212 90332\n18481 27768\n33771 50641\n4496 6762\n44517 66765\n68472 100000\n148 226\n64865 97284\n62332 93514\n62595 93907\n9964 14957\n14634 22008\n48474 72643\n71721 100000\n86063 100000\n94839 100000\n68418 100000\n57771 86643\n40985 61465\n96359 100000\n171 261\n82873 100000\n76517 100000\n14845 22332\n11102 16665\n21887 32880\n2759 4160\n30457 45691\n77319 100000\n41546 62318\n41277 61915\n96502 100000\n12823 19240\n43414 65123\n98844 100000\n28090 42127\n77878 100000\n81546 100000\n76518 100000\n20672 31065\n18983 28546\n67126 100000\n22072 33146\n16269 24459\n24229 36357\n72146 100000\n32836 49253\n67014 100000\n87826 100000\n68945 100000\n55406 83084\n54578 81815\n64046 96051\n82968 100000\n7194 10820\n98957 100000\n1159 1753\n47553 71264\n60480 90735\n37170 55732\n91427 100000\n67705 100000\n92113 100000\n17860 26834\n25933 38909\n97116 100000\n77766 100000\n68898 100000\n52011 77952\n36411 54596\n19111 28731\n59300 88945\n70998 100000\n19330 29059\n76195 100000\n14925 22452\n57999 86983\n88988 100000\n6171 9292\n20398 30660\n94373 100000\n32042 48074\n92608 100000\n47411 71058\n27362 41018\n9735 14607\n62436 93671\n34366 51536\n39722 59563\n59920 89904\n60138 90232\n93324 100000\n713 1087\n13391 20113\n55320 82960\n6725 10113\n22375 33583\n81228 100000\n87513 100000\n59724 89608\n77700 100000\n97014 100000\n79823 100000\n62585 93889\n55318 82958\n87051 100000\n35095 52633\n93232 100000\n10508 15766\n85970 100000\n5961 8961\n35836 53725\n76365 100000\n96568 100000\n82137 100000\n5938 8925\n42883 64313\n10513 15772\n10884 16330\n29494 44234\n15415 23195\n22252 33407\n85303 100000\n59807 89736\n95699 100000\n5241 7882\n65421 98135\n90953 100000\n92905 100000\n12530 18798\n89461 100000\n50021 74979\n75010 100000\n89605 100000\n78225 100000\n23231 34864\n60308 90474\n85972 100000\n83847 100000\n56070 84089\n37578 56343\n70983 100000\n26440 39667\n17927 26935\n6804 10227\n70189 100000\n64635 96942\n66677 100000\n23366 35067\n12172 18271\n52924 79319\n76424 100000\n45441 68150\n39899 59821\n24010 36033\n79955 100000\n71846 100000\n80698 100000\n32777 49164\n78623 100000\n86148 100000\n91266 100000\n9255 13884\n66180 99288\n6413 9665\n37449 56149\n27379 41047\n13303 19975\n73032 100000\n2233 3354\n9120 13671\n74434 100000\n6595 9919\n7788 11701\n52954 79366\n81969 100000\n98313 100000\n17798 26746\n5307 7980\n63472 95192\n24852 37289\n72062 100000\n5098 7671\n79676 100000\n61905 92868\n80267 100000\n24960 37454\n39376 59037\n62265 93406\n1349 2045\n82083 100000\n62574 93874\n55726 83576\n55393 83066\n22604 33929\n3150 4750\n77740 100000\n67406 100000\n49564 74295\n13018 19547\n3832 5767\n77240 100000\n61382 92084\n29474 44204\n87723 100000\n93628 100000\n83558 100000\n50076 75057\n67945 100000\n77654 100000\n7327 11016\n26002 39009\n63806 95678\n94366 100000\n87028 100000\n58580 87862\n78508 100000\n8777 13167\n32540 48815\n66510 99783\n49920 74835\n83072 100000\n39293 58911\n25857 38794\n45998 68972\n55975 83945\n57406 86105\n86691 100000\n6765 10173\n62019 93037\n45933 68874\n84968 100000\n92619 100000\n30908 46387\n97939 100000\n16564 24909\n50211 75267\n96069 100000\n23827 35750\n43581 65373\n90089 100000\n59779 89694\n17264 25948\n46564 69806\n17694 26584\n44562 66830\n28888 43332\n7036 10581\n32537 48811\n74915 100000\n98681 100000\n87432 100000\n77265 100000\n82056 100000\n47884 71753\n83219 100000\n43989 65978\n53218 79769\n64563 96833\n57081 85607\n36460 54670\n8394 12602\n60856 91293\n37724 56563\n29930 44884\n11129 16706\n32676 49015\n90417 100000\n95316 100000\n6707 10089\n60171 90275\n74511 100000\n24748 37130\n16938 25457\n99687 100000\n55477 83195\n70476 100000\n45084 67621\n84449 100000\n56656 84973\n63697 95520\n87938 100000\n13425 20167\n41098 61638\n34659 51978\n24280 36437\n39067 58564\n74740 100000\n16707 25122\n44666 66985\n39361 59015\n59826 89764\n28838 43257\n81836 100000\n20233 30418\n74072 100000\n23202 34820\n67542 100000\n87699 100000\n37944 56899\n69983 100000\n62557 93852\n8998 13494\n97300 100000\n211 326\n21285 31991\n15928 23948\n96412 100000\n52201 78232\n42404 63604\n97926 100000\n21075 31678\n59808 89737\n29411 44116\n14114 21225\n25734 38603\n73000 100000\n75999 100000\n70 107\n74106 100000\n38195 57278\n33147 49710\n38360 57521\n55751 83616\n85513 100000\n79347 100000\n71358 100000\n2461 3706\n84501 100000\n4690 7059\n17940 26953\n88386 100000\n95623 100000\n991 1502\n34336 51484\n37856 56761\n87220 100000\n39545 59295\n43430 65147\n18685 28088\n98929 100000\n1737 2615\n55164 82725\n87518 100000\n59069 88597\n59621 89445\n94048 100000\n2917 4402\n59594 89403\n22368 33574\n50739 76069\n91042 100000\n99026 100000\n26975 40439\n25400 38111\n30319 45467\n52920 79313\n29939 44897\n11310 16977\n23904 35871\n84349 100000\n99209 100000\n65668 98508\n45526 68281\n10412 15624\n78302 100000\n77119 100000\n82182 100000\n5018 7545\n11408 17121\n60395 90610\n22994 34500\n48464 72628\n63570 95331\n60493 90751\n56649 84963\n89829 100000\n69902 100000\n69139 100000\n74114 100000\n41676 62510\n93513 100000\n26944 40396\n55660 83476\n43940 65905\n86520 100000\n23303 34972\n40860 61280\n40629 60928\n65580 98372\n31802 47717\n99975 100000\n50812 76174\n28485 42726\n29041 43559\n23384 35093\n23474 35223\n92473 100000\n3541 5336\n91637 100000\n64057 96071\n2486 3742\n59620 89443\n73923 100000\n36573 54836\n86581 100000\n86240 100000\n22814 34237\n95378 100000\n93290 100000\n55060 82564\n24180 36286\n88379 100000\n54012 80953\n65255 97874\n87685 100000\n61508 92265\n84584 100000\n47754 71567\n94996 100000\n32736 49106\n98144 100000\n11122 16695\n59245 88864\n94375 100000\n115 178\n35315 52956\n45695 68533\n85174 100000\n24621 36934\n94298 100000\n5371 8079\n40948 61411\n94244 100000\n59356 89030\n98496 100000\n87414 100000\n66680 100000\n50614 75875\n75785 100000\n66477 99734\n92455 100000\n82271 100000\n5477 8233\n28615 42912\n11575 17373\n81171 100000\n40020 60005\n44950 67411\n24695 37048\n43826 65732\n75320 100000\n79092 100000\n9265 13899\n75384 100000\n82020 100000\n72320 100000\n50639 75917\n82053 100000\n52474 78641\n43585 65379\n42429 63643\n30818 46249\n74784 100000\n68558 100000\n97855 100000\n94342 100000\n27920 41875\n98710 100000\n88183 100000\n52389 78514\n83586 100000\n30372 45552\n77807 100000\n10976 16466\n23416 35141\n96862 100000\n4319 6502\n77541 100000\n98860 100000\n75940 100000\n18671 28065\n99718 100000\n60169 90272\n89662 100000\n29204 43793\n27548 41310\n18792 28258\n60116 90200\n42454 63677\n49146 73662\n56909 85346\n91775 100000\n37973 56940\n32912 49364\n56016 84010\n61973 92973\n96763 100000\n39484 59198\n61025 91550\n17825 26784\n31443 47175\n52084 78065\n20334 30569\n88514 100000\n96782 100000\n10130 15207\n58777 88160\n42831 64238\n9384 14077\n17894 26883\n19853 29851\n42679 64005\n35946 53892\n57465 86193\n98589 100000\n44090 66123\n93685 100000\n81863 100000\n66706 100000\n15830 23805\n94175 100000\n78810 100000\n29651 44459\n36869 55285\n58502 87752\n13503 20288\n73433 100000\n56559 84831\n46231 69315\n98438 100000\n10139 15219\n86564 100000\n85085 100000\n27770 41647\n54311 81406\n2775 4185\n50001 74951\n52869 79240\n60623 90940\n37940 56894\n54930 82357\n63219 94824\n80607 100000\n39723 59564\n75488 100000\n48413 72548\n65354 98035\n49746 74574\n26896 40328\n5597 8414\n23494 35250\n21271 31973\n30311 45455\n92589 100000\n12438 18665\n17800 26748\n88732 100000\n74050 100000\n38258 57372\n52296 78377\n61518 92277\n35731 53569\n3705 5580\n8488 12735\n58972 88452\n6950 10446\n90645 100000\n88861 100000\n16158 24292\n92463 100000\n63135 94711\n68799 100000\n19797 29766\n80634 100000\n67587 100000\n43984 65971\n45902 68835\n5384 8095\n28240 42349\n97573 100000\n45806 68690\n82368 100000\n55179 82748\n13798 20739\n22572 33882\n27775 41654\n62056 93092\n6208 9347\n65597 98397\n7058 10612\n18175 27306\n9696 14549\n89157 100000\n46672 69962\n65440 98160\n76566 100000\n93225 100000\n91040 100000\n55415 83097\n71414 100000\n11245 16873\n76413 100000\n2754 4152\n56716 85060\n48495 72675\n57937 86888\n65595 98395\n90774 100000\n38796 58175\n99602 100000\n66390 99602\n96747 100000\n6340 9551\n79335 100000\n19692 29607\n36142 54182\n28072 42098\n46911 70313\n17664 26541\n82317 100000\n32619 48926\n88188 100000\n23496 35254\n84580 100000\n88885 100000\n42272 63406\n25411 38127\n47762 71577\n16808 25266\n84573 100000\n17447 26221\n47404 71050\n75676 100000\n74328 100000\n75470 100000\n54036 80989\n37051 55556\n7468 11222\n38375 57544\n92014 100000\n44679 67003\n37369 56030\n9549 14327\n6883 10345\n47515 71204\n27225 40813\n73788 100000\n16689 25096\n94430 100000\n47446 71109\n37475 56190\n50067 75043\n63687 95507\n73414 100000\n29910 44850\n72792 100000\n61149 91731\n25728 38594\n3050 4602\n74116 100000\n33049 49566\n41262 61891\n62379 93587\n7948 11941\n34980 52465\n86023 100000\n23964 35965\n7418 11146\n20707 31123\n5346 8040\n47962 71874\n42573 63853\n23409 35131\n62229 93353\n76291 100000\n36012 53991\n35273 52892\n47854 71708\n84780 100000\n43705 65559\n36836 55240\n42862 64287\n73758 100000\n23070 34623\n7077 10643\n41565 62346\n7331 11021\n15213 22888\n39120 58637\n59157 88731\n15425 23213\n7634 11472\n55688 83519\n6007 9030\n7697 11565\n82104 100000\n5097 7669\n96286 100000\n32585 48875\n22568 33877\n74842 100000\n85278 100000\n85823 100000\n25677 38510\n58919 88370\n68059 100000\n28869 43303\n95027 100000\n57179 85751\n62385 93596\n61408 92118\n47439 71099\n19958 30007\n54364 81487\n22783 34188\n32733 49102\n74685 100000\n40797 61187\n90759 100000\n92684 100000\n80776 100000\n18351 27569\n16605 24969\n84919 100000\n70093 100000\n6821 10253\n1990 2993\n24977 37478\n34890 52336\n22095 33182\n19897 29912\n99623 100000\n33924 50873\n77397 100000\n47597 71331\n41414 62118\n30633 45967\n79634 100000\n24027 36059\n93005 100000\n74567 100000\n46445 69628\n833 1268\n93070 100000\n30638 45976\n32903 49350\n7477 11236\n31530 47306\n55467 83180\n71923 100000\n55475 83192\n83303 100000\n1676 2527\n60292 90451\n13637 20493\n22449 33696\n4543 6838\n44347 66511\n71268 100000\n33892 50828\n64285 96416\n77662 100000\n99313 100000\n56748 85102\n61586 92379\n33484 50210\n62227 93349\n38416 57607\n96236 100000\n63046 94579\n31081 46649\n90292 100000\n82970 100000\n14796 22262\n29730 44578\n66770 100000\n66619 99940\n38041 57046\n93718 100000\n56599 84891\n99526 100000\n23835 35762\n5750 8638\n30723 46102\n93553 100000\n7081 10648\n47801 71637\n43811 65710\n27131 40674\n24228 36355\n46328 69461\n64510 96747\n50320 75434\n4801 7228\n5637 8475\n14586 21929\n18842 28333\n2459 3704\n31815 47736\n73137 100000\n36418 54605\n61501 92254\n97606 100000\n26901 40335\n86482 100000\n13260 19914\n28444 42658\n69678 100000\n35349 53003\n79536 100000\n36090 54105\n48952 73374\n14020 21079\n51749 77553\n3191 4814\n50834 76207\n90365 100000\n92458 100000\n15884 23885\n81697 100000\n53712 80499\n57418 86122\n97360 100000\n68168 100000\n31500 47261\n68033 100000\n64749 97112\n96259 100000\n69899 100000\n28786 43179\n89213 100000\n57464 86192\n64156 96221\n97025 100000\n76606 100000\n87055 100000\n33465 50180\n14314 21520\n8533 12799\n78418 100000\n21886 32879\n29915 44860\n70891 100000\n69824 100000\n83763 100000\n80368 100000\n93117 100000\n87651 100000\n27595 41376\n93139 100000\n89739 100000\n67333 100000\n86308 100000\n54807 82171\n94357 100000\n26412 39624\n10840 16262\n76221 100000\n24670 37010\n44275 66405\n1822 2739\n89361 100000\n5621 8450\n97598 100000\n61769 92655\n80465 100000\n15591 23459\n40326 60467\n69236 100000\n69233 100000\n27352 41004\n12695 19054\n91216 100000\n6396 9639\n11690 17551\n2874 4337\n78634 100000\n50753 76090\n28337 42497\n49230 73786\n22380 33592\n42040 63061\n83384 100000\n27754 41623\n18164 27290\n11747 17632\n28707 43054\n84964 100000\n31392 47103\n81118 100000\n67210 100000\n66328 99507\n49187 73724\n60066 90122\n6651 10006\n70321 100000\n38833 58223\n95574 100000\n31521 47294\n86003 100000\n38125 57168\n77895 100000\n2974 4490\n58936 88397\n48003 71936\n75451 100000\n39855 59758\n65420 98133\n3350 5056\n88571 100000\n80867 100000\n67490 100000\n28031 42040\n76137 100000\n29281 43915\n3329 5024\n81335 100000\n15558 23410\n15000 22569\n950 1444\n16757 25191\n99274 100000\n11345 17029\n91185 100000\n72610 100000\n24715 37080\n27753 41621\n25640 38459\n28861 43291\n70939 100000\n34963 52439\n59794 89713\n37276 55895\n55564 83332\n48542 72753\n39754 59607\n80598 100000\n18039 27102\n11146 16726\n28799 43197\n76262 100000\n18459 27731\n34267 51382\n14636 22011\n42016 63024\n14470 21758\n50461 75650\n11449 17186\n9721 14586\n12416 18632\n97197 100000\n10315 15485\n76083 100000\n35330 52976\n96217 100000\n91491 100000\n99999 100000\n98330 100000\n63254 94878\n95358 100000\n16266 24455\n92871 100000\n48918 73323\n20773 31222\n26547 39826\n99151 100000\n11711 17584\n64424 96621\n61576 92365\n9183 13768\n238 366\n74991 100000\n89918 100000\n72263 100000\n50260 75343\n75389 100000\n81058 100000\n55381 83049\n13782 20716\n45996 68969\n19409 29182\n38653 57960\n87528 100000\n27146 40697\n22293 33466\n82999 100000\n53376 80009\n77525 100000\n61229 91849\n45404 68101\n75360 100000\n18239 27405\n91136 100000\n61366 92059\n2394 3597\n14773 22226\n94299 100000\n67401 100000\n39731 59575\n54091 81072\n30416 45623\n63571 95332\n168 258\n84152 100000\n44832 67232\n6898 10369\n41666 62496\n94469 100000\n26464 39702\n98906 100000\n99505 100000\n92520 100000\n70275 100000\n83166 100000\n26287 39440\n67402 100000\n34114 51151\n22504 33778\n64591 96873\n34999 52494\n96946 100000\n14317 21524\n22348 33545\n40335 60481\n68859 100000\n84415 100000\n37615 56405\n84705 100000\n5268 7918\n99579 100000\n56618 84916\n45489 68228\n75499 100000\n89789 100000\n32290 48442\n29487 44224\n47470 71141\n13901 20897\n82306 100000\n12268 18414\n89753 100000\n22003 33047\n56432 84642\n40820 61223\n80839 100000\n83271 100000\n31934 47910\n31680 47535\n46492 69694\n9005 13502\n59743 89639\n76540 100000\n65674 98516\n26227 39351\n50228 75293\n36274 54388\n16014 24079\n57902 86835\n91912 100000\n6694 10071\n71467 100000\n84050 100000\n27825 41730\n39633 59430\n10717 16072\n51034 76508\n35083 52617\n10531 15796\n36793 55183\n49059 73535\n73938 100000\n52292 78370\n7377 11088\n93020 100000\n85349 100000\n35545 53295\n65956 98948\n65352 98032\n82666 100000\n22738 34125\n73444 100000\n98749 100000\n42484 63723\n98110 100000\n32371 48566\n63790 95657\n93077 100000\n99189 100000\n21756 32685\n62171 93259\n56461 84686\n9947 14933\n38504 57746\n7238 10883\n86612 100000\n32556 48838\n17437 26207\n85268 100000\n90065 100000\n76893 100000\n25156 37754\n92488 100000\n72492 100000\n77199 100000\n13491 20269\n3380 5102\n61761 92642\n8101 12163\n42113 63166\n54049 81010\n67784 100000\n36084 54095\n58571 87848\n69061 100000\n76321 100000\n2997 4526\n36682 55002\n70870 100000\n19561 29414\n37728 56571\n39954 59903\n83020 100000\n35204 52795\n51 80\n97133 100000\n55641 83447\n90769 100000\n58781 88165\n51464 77133\n37825 56716\n64304 96445\n36912 55350\n96010 100000\n18324 27530\n5617 8443\n93338 100000\n99537 100000\n10901 16353\n94278 100000\n89860 100000\n80287 100000\n28966 43451\n17073 25649\n35631 53421\n52035 77990\n50404 75566\n30991 46521\n93038 100000\n50758 76098\n88404 100000\n12548 18827\n89848 100000\n50295 75397\n7632 11469\n98145 100000\n46344 69483\n34210 51295\n47887 71757\n6781 10195\n40173 60242\n62769 94169\n26614 39927\n77626 100000\n37169 55730\n60660 90994\n76691 100000\n14354 21583\n43821 65725\n5626 8457\n86217 100000\n2553 3847\n62066 93105\n40498 60729\n84206 100000\n67031 100000\n68577 100000\n11055 16589\n34626 51930\n1132 1710\n13135 19722\n84474 100000\n18679 28078\n52108 78097\n48304 72384\n36031 54019\n58535 87802\n26970 40430\n33413 50102\n10883 16329\n20591 30941\n31639 47472\n16910 25416\n51642 77391\n75878 100000\n65815 98731\n66940 100000\n92898 100000\n64705 97049\n60536 90813\n89994 100000\n95738 100000\n64803 97193\n63994 95965\n91978 100000\n60920 91395\n77223 100000\n79989 100000\n90391 100000\n18242 27409\n1456 2204\n13464 20229\n54943 82375\n7493 11258\n30593 45901\n34385 51566\n79162 100000\n85994 100000\n33262 49878\n11330 17007\n62116 93171\n47696 71480\n60720 91084\n31142 46735\n13446 20202\n88771 100000\n92518 100000\n45096 67635\n28982 43475\n77744 100000\n60139 90233\n28286 42420\n84562 100000\n21666 32547\n87285 100000\n83409 100000\n60238 90366\n67417 100000\n63292 94929\n75518 100000\n97680 100000\n71534 100000\n4240 6382\n70704 100000\n12237 18372\n91195 100000\n85449 100000\n52223 78269\n83621 100000\n50491 75696\n45435 68142\n77678 100000\n20870 31370\n28895 43340\n4242 6385\n75286 100000\n65173 97750\n74199 100000\n95010 100000\n39768 59629\n2174 3267\n82490 100000\n50224 75287\n72279 100000\n50182 75222\n82324 100000\n24635 36958\n73264 100000\n19337 29071\n72565 100000\n79138 100000\n25260 37906\n47893 71765\n55572 83343\n34880 52321\n72298 100000\n87474 100000\n58233 87340\n37390 56060\n41968 62957\n9326 13994\n18714 28138\n94157 100000\n17192 25839\n58616 87916\n36956 55411\n61945 92930\n57317 85967\n17605 26449\n47581 71304\n51159 76696\n68426 100000\n78180 100000\n18650 28031\n13004 19524\n326 498\n28599 42889\n85490 100000\n16919 25430\n46700 70001\n98784 100000\n82994 100000\n8785 13179\n88180 100000\n93916 100000\n64312 96456\n31148 46743\n65094 97636\n13614 20460\n21683 32570\n37575 56338\n37183 55752\n99419 100000\n53835 80687\n10927 16393\n87969 100000\n93874 100000\n72871 100000\n56828 85229\n88050 100000\n34271 51387\n58147 87210\n78389 100000\n75167 100000\n89330 100000\n6930 10413\n69017 100000\n36728 55078\n87830 100000\n39 60\n752 1148\n46730 70047\n12423 18643\n91806 100000\n35820 53704\n96692 100000\n9693 14544\n94475 100000\n39641 59442\n30458 45693\n93331 100000\n40710 61044\n40877 61305\n65965 98961\n46426 69600\n58412 87619\n45012 67504\n26506 39763\n34794 52185\n98545 100000\n20733 31162\n42262 63394\n97145 100000\n12217 18345\n64657 96973\n16105 24212\n13002 19522\n18138 27247\n25678 38512\n23788 35690\n31062 46621\n88322 100000\n9831 14751\n35655 53457\n78684 100000\n7877 11832\n31885 47840\n58685 88018\n84023 100000\n92101 100000\n58383 87579\n93695 100000\n73638 100000\n23175 34781\n35807 53685\n20357 30604\n58953 88424\n11713 17586\n33523 50266\n33517 50256\n72180 100000\n89508 100000\n50196 75245\n40209 60296\n81173 100000\n56043 84048\n25207 37828\n80802 100000\n75115 100000\n44723 67075\n99430 100000\n24710 37073\n55662 83480\n44904 67346\n92733 100000\n56073 84094\n22939 34421\n1638 2471\n34162 51228\n23821 35739\n24059 36103\n37210 55791\n48259 72314\n62253 93388\n26296 39453\n1884 2836\n35507 53240\n53671 80438\n53428 80086\n90705 100000\n9523 14285\n70053 100000\n56182 84257\n19374 29129\n48319 72406\n12004 18017\n37333 55976\n11692 17554\n48560 72781\n22213 33357\n14989 22549\n58659 87981\n51714 77498\n65583 98378\n74420 100000\n12316 18480\n76437 100000\n97239 100000\n29601 44385\n74046 100000\n41698 62546\n87034 100000\n92369 100000\n701 1071\n43241 64858\n86672 100000\n98537 100000\n88917 100000\n69135 100000\n90914 100000\n38599 57880\n34263 51376\n30749 46142\n26575 39869\n15327 23065\n76482 100000\n45301 67949\n26437 39662\n97797 100000\n53060 79526\n56044 84050\n34274 51392\n5808 8728\n37842 56743\n23491 35246\n62641 93975\n4382 6598\n92219 100000\n21978 33011\n33959 50924\n97823 100000\n36315 54451\n45848 68752\n40417 60605\n71291 100000\n2407 3617\n82445 100000\n30932 46424\n64453 96665\n32881 49317\n77153 100000\n22045 33107\n4964 7468\n77889 100000\n28657 42981\n61626 92439\n70793 100000\n53247 79812\n35974 53934\n20619 30985\n51775 77592\n60321 90496\n98162 100000\n41754 62635\n9885 14838\n2035 3058\n92952 100000\n45679 68508\n2442 3675\n75147 100000\n38290 57421\n96972 100000\n52072 78049\n25832 38759\n35830 53719\n31097 46671\n72322 100000\n16906 25408\n32296 48450\n89834 100000\n1387 2099\n50125 75132\n72580 100000\n79125 100000\n25270 37921\n24553 36838\n91394 100000\n93078 100000\n41892 62848\n43784 65670\n86518 100000\n32768 49152\n78163 100000\n8245 12380\n32735 49105\n1765 2657\n19954 30000\n27164 40724\n87091 100000\n51492 77172\n3027 4569\n25549 38324\n62889 94346\n45377 68062\n88430 100000\n61994 93002\n41138 61697\n92773 100000\n15517 23346\n31729 47611\n95041 100000\n57409 86109\n52682 78956\n77148 100000\n54977 82430\n41119 61667\n36308 54439\n37010 55494\n39915 59844\n54931 82358\n79142 100000\n28210 42305\n56427 84634\n50750 76085\n4892 7356\n25317 37988\n28596 42884\n96275 100000\n42560 63835\n92470 100000\n23894 35853\n14294 21490\n75743 100000\n19569 29427\n76462 100000\n59021 88522\n40181 60252\n98275 100000\n11090 16647\n59845 89790\n50544 75772\n15054 22652\n75649 100000\n16220 24387\n44293 66428\n23352 35044\n65168 97743\n78982 100000\n76985 100000\n68801 100000\n18906 28429\n9837 14760\n52973 79390\n8475 12718\n28685 43022\n27681 41505\n1807 2719\n73637 100000\n93663 100000\n37523 56260\n9869 14814\n64518 96762\n8351 12539\n8758 13140\n9714 14576\n85951 100000\n16554 24893\n201 309\n35805 53682\n35395 53076\n65105 97649\n77970 100000\n99301 100000\n78196 100000\n19674 29579\n12785 19184\n11794 17705\n31454 47192\n66973 100000\n6827 10263\n40949 61412\n38568 57835\n26257 39394\n87466 100000\n38583 57857\n14168 21304\n61948 92935\n75613 100000\n46654 69937\n68254 100000\n3226 4869\n43260 64885\n11047 16577\n82165 100000\n45975 68934\n44650 66963\n83150 100000\n59536 89312\n16844 25321\n37870 56783\n16018 24085\n29495 44236\n45645 68459\n77590 100000\n73689 100000\n17090 25677\n64365 96534\n71169 100000\n35843 53737\n50663 75954\n18872 28381\n2314 3479\n56853 85264\n63478 95200\n72560 100000\n27549 41311\n78251 100000\n92496 100000\n43134 64697\n19645 29535\n77256 100000\n53464 80138\n51437 77098\n15962 24000\n8243 12377\n20114 30238\n20818 31296\n60049 90099\n3950 5944\n67524 100000\n37454 56158\n37272 55889\n60339 90524\n43273 64906\n62267 93410\n82504 100000\n90929 100000\n57343 86009\n46377 69529\n81302 100000\n14518 21825\n47855 71709\n57500 86243\n26224 39346\n97183 100000\n72882 100000\n90767 100000\n13014 19541\n53393 80034\n10547 15822\n42758 64129\n52129 78127\n10588 15882\n13358 20062\n24255 36394\n21608 32468\n54997 82463\n24221 36346\n98716 100000\n26118 39185\n32238 48368\n24262 36406\n29556 44322\n89396 100000\n69198 100000\n18889 28406\n41350 62023\n7354 11054\n44514 66760\n75085 100000\n17156 25782\n12014 18033\n51771 77588\n463 709\n39819 59706\n72055 100000\n98017 100000\n94124 100000\n74708 100000\n42478 63715\n92144 100000\n40605 60893\n99985 100000\n62603 93921\n94433 100000\n25087 37652\n37291 55916\n97226 100000\n17270 25958\n63030 94554\n88011 100000\n66781 100000\n27292 40917\n53374 80005\n33135 49690\n82127 100000\n33132 49684\n41549 62323\n42536 63799\n63919 95858\n77106 100000\n27635 41436\n25188 37800\n16759 25195\n79408 100000\n48742 73060\n86778 100000\n75387 100000\n70253 100000\n75699 100000\n38391 57570\n76628 100000\n7445 11186\n32958 49433\n39065 58560\n17356 26090\n5922 8900\n20828 31311\n91715 100000\n41220 61824\n47099 70597\n6182 9308\n29583 44358\n87636 100000\n85848 100000\n69850 100000\n64271 96397\n14363 21594\n11617 17435\n65434 98152\n83833 100000\n72722 100000\n39732 59576\n84570 100000\n49666 74451\n28110 42156\n39213 58785\n96285 100000\n78770 100000\n77665 100000\n20131 30265\n65950 98939\n32793 49188\n82226 100000\n45649 68465\n35620 53405\n93267 100000\n15629 23518\n88722 100000\n19971 30026\n80545 100000\n40497 60728\n69118 100000\n97259 100000\n40517 60757\n68722 100000\n64293 96429\n50647 75930\n87361 100000\n46996 70443\n33628 50425\n94392 100000\n36478 54696\n161 246\n51494 77174\n68225 100000\n42571 63851\n78296 100000\n38641 57941\n14201 21353\n35265 52881\n23378 35083\n19774 29733\n82084 100000\n74101 100000\n69100 100000\n92114 100000\n86596 100000\n87403 100000\n37975 56943\n58520 87778\n7949 11942\n78354 100000\n18288 27478\n83494 100000\n15870 23862\n85266 100000\n73430 100000\n7668 11525\n331 506\n6240 9395\n66315 99490\n18665 28055\n83662 100000\n67278 100000\n32152 48240\n50502 75712\n10624 15933\n80943 100000\n24662 36999\n51560 77271\n90854 100000\n59629 89459\n42865 64291\n44538 66794\n62613 93935\n31257 46905\n90124 100000\n1766 2659\n91354 100000\n95748 100000\n30572 45872\n84978 100000\n50201 75251\n18532 27849\n29714 44557\n86121 100000\n37277 55896\n46212 69287\n59734 89625\n37965 56927\n58863 88284\n73399 100000\n46211 69285\n39553 59307\n92974 100000\n58516 87771\n11801 17716\n7806 11724\n59029 88537\n73682 100000\n26042 39070\n60984 91488\n64431 96633\n50892 76297\n66864 100000\n86974 100000\n72751 100000\n91061 100000\n69342 100000\n49605 74355\n56433 84643\n30752 46146\n4710 7089\n32834 49249\n27683 41509\n94788 100000\n75225 100000\n43256 64879\n2293 3448\n57730 86582\n38079 57100\n81399 100000\n61737 92605\n33305 49939\n33092 49630\n5013 7537\n27790 41678\n7847 11788\n80259 100000\n59294 88937\n94556 100000\n64302 96443\n32930 49391\n45759 68622\n70636 100000\n34383 51563\n45654 68472\n23924 35898\n48613 72862\n65392 98091\n81136 100000\n13347 20046\n6066 9126\n52578 78797\n1509 2285\n30354 45522\n92475 100000\n73743 100000\n92765 100000\n21762 32692\n60879 91329\n53231 79787\n97650 100000\n963 1461\n82378 100000\n73548 100000\n32781 49168\n56594 84883\n42945 64407\n90191 100000\n47889 71760\n38679 58000\n66338 99523\n58293 87438\n64261 96383\n24154 36247\n35761 53613\n56637 84947\n86136 100000\n11006 16514\n14460 21741\n11212 16825\n64556 96820\n21365 32110\n5764 8659\n12415 18631\n94162 100000\n76912 100000\n62445 93684\n14817 22294\n4731 7122\n67848 100000\n97042 100000\n27363 41020\n60734 91106\n14791 22254\n83968 100000\n29219 43819\n59146 88714\n61854 92791\n69867 100000\n36211 54286\n43280 64919\n12875 19323\n68475 100000\n81251 100000\n44391 66578\n44457 66671\n60079 90142\n54734 82060\n49556 74281\n97341 100000\n23795 35701\n8875 13316\n78420 100000\n99698 100000\n36637 54938\n97036 100000\n6155 9262\n38409 57596\n4491 6755\n9469 14197\n94628 100000\n89012 100000\n72374 100000\n79188 100000\n8038 12065\n68350 100000\n29375 44066\n41769 62659\n5502 8268\n62448 93688\n99325 100000\n46210 69283\n10228 15353\n11349 17034\n13145 19739\n62577 93877\n62655 93996\n73871 100000\n94379 100000\n84903 100000\n8594 12894\n47734 71539\n13034 19570\n96926 100000\n45746 68606\n63865 95773\n27833 41743\n28028 42035\n8675 13017\n44477 66699\n16834 25305\n55833 83733\n41805 62715\n59742 89638\n25757 38637\n77103 100000\n63137 94714\n21395 32156\n53426 80083\n87345 100000\n52202 78234\n59654 89499\n78108 100000\n5869 8825\n73615 100000\n36600 54882\n96675 100000\n29830 44731\n83220 100000\n52142 78146\n37168 55728\n58710 88058\n1941 2919\n39668 59482\n11841 17773\n51781 77602\n3423 5166\n74908 100000\n22026 33081\n15672 23577\n72787 100000\n91944 100000\n33216 49812\n58426 87642\n3014 4550\n96360 100000\n25407 38121\n43987 65976\n89552 100000\n19029 28612\n26917 40357\n80760 100000\n40999 61486\n40639 60942\n85176 100000\n61541 92312\n58230 87335\n50058 75032\n84288 100000\n69289 100000\n55990 83967\n51439 77101\n67799 100000\n51199 76756\n70543 100000\n40638 60940\n35674 53486\n7375 11084\n19822 29802\n39774 59638\n50907 76321\n8148 12235\n38038 57041\n93203 100000\n42381 63567\n88196 100000\n51967 77886\n95189 100000\n24672 37014\n50489 75692\n12537 18809\n937 1425\n58914 88361\n20969 31522\n18651 28032\n69722 100000\n58214 87312\n97417 100000\n47272 70861\n27657 41471\n35121 52674\n48726 73034\n1686 2540\n86146 100000\n87016 100000\n67170 100000\n62713 94081\n9938 14921\n31864 47808\n14160 21293\n92989 100000\n4845 7286\n4850 7294\n6909 10384\n43994 65986\n26250 39386\n17883 26866\n23051 34593\n28579 42861\n81019 100000\n93785 100000\n53147 79654\n52148 78154\n14824 22303\n46488 69687\n82759 100000\n68639 100000\n22057 33125\n28216 42313\n33410 50098\n82827 100000\n94251 100000\n27985 41970\n67887 100000\n14745 22187\n51543 77246\n77284 100000\n90988 100000\n51589 77312\n26110 39175\n94718 100000\n41577 62363\n89034 100000\n92552 100000\n50627 75897\n9854 14786\n99306 100000\n2360 3549\n66504 99773\n91398 100000\n11027 16547\n3997 6006\n54842 82225\n33559 50325\n68465 100000\n10968 16453\n73441 100000\n72612 100000\n10116 15186\n53851 80710\n6675 10040\n54985 82442\n23025 34548\n61705 92556\n58068 87092\n92980 100000\n74565 100000\n5186 7800\n37910 56843\n91719 100000\n95098 100000\n82620 100000\n79646 100000\n13510 20301\n25441 38171\n28226 42327\n15615 23494\n74962 100000\n42768 64144\n286 439\n14729 22161\n22820 34246\n53520 80220\n21962 32987\n16897 25394\n4400 6625\n6532 9827\n2844 4293\n3932 5920\n78080 100000\n15467 23275\n2136 3204\n60779 91177\n11134 16711\n41739 62609\n37980 56951\n38589 57865\n77610 100000\n5116 7697\n34809 52209\n44891 67325\n31774 47676\n42985 64467\n84799 100000\n33203 49794\n2604 3926\n50617 75880\n95311 100000\n9272 13908\n42845 64260\n27603 41389\n87134 100000\n89131 100000\n22779 34183\n91762 100000\n69720 100000\n15539 23382\n43582 65375\n77078 100000\n36906 55342\n81611 100000\n30904 46379\n99207 100000\n20248 30442\n63855 95758\n20885 31395\n95742 100000\n19728 29661\n23179 34787\n17179 25820\n78806 100000\n99014 100000\n85964 100000\n66699 100000\n34378 51555\n40319 60457\n3058 4614\n82983 100000\n85759 100000\n10221 15343\n67641 100000\n26600 39907\n10298 15459\n56911 85350\n14422 21683\n84618 100000\n36203 54273\n14447 21720\n36038 54029\n64463 96679\n93024 100000\n73731 100000\n75924 100000\n15610 23487\n78880 100000\n77258 100000\n14811 22284\n87952 100000\n78696 100000\n4488 6752\n82746 100000\n73384 100000\n52484 78656\n51355 76981\n53953 80867\n72752 100000\n24609 36918\n64980 97463\n68321 100000\n93404 100000\n9729 14599\n81448 100000\n24090 36152\n15322 23056\n33347 50000\n77557 100000\n10295 15455\n77250 100000\n11141 16720\n71060 100000\n86957 100000\n28366 42543\n44652 66966\n64153 96217\n82296 100000\n91459 100000\n84490 100000\n14296 21494\n15811 23779\n44088 66120\n18254 27426\n52407 78544\n89091 100000\n58829 88233\n76658 100000\n34032 51029\n6411 9662\n55590 83369\n45905 68840\n50107 75105\n74224 100000\n90693 100000\n59659 89508\n68338 100000\n92189 100000\n63702 95527\n2479 3731\n23112 34688\n92792 100000\n89490 100000\n37516 56251\n35093 52629\n16005 24066\n8184 12288\n82922 100000\n46489 69689\n27299 40927\n19842 29831\n61696 92544\n43562 65347\n91189 100000\n92527 100000\n63352 95016\n96924 100000\n62796 94208\n22215 33360\n19482 29296\n79749 100000\n6697 10076\n47530 71226\n27150 40703\n52909 79296\n35906 53835\n13989 21030\n72552 100000\n89957 100000\n45629 68434\n84347 100000\n21893 32886\n34012 51000\n88364 100000\n22762 34160\n63370 95044\n69996 100000\n27324 40961\n3559 5360\n53367 79996\n19037 28625\n86562 100000\n76055 100000\n4756 7160\n19860 29860\n53600 80333\n75049 100000\n63754 95600\n46469 69659\n29163 43736\n82010 100000\n50577 75819\n78618 100000\n45206 67802\n87469 100000\n31858 47799\n41547 62320\n91615 100000\n85850 100000\n30040 45045\n91755 100000\n74226 100000\n7773 11677\n17132 25743\n89999 100000\n24462 36710\n41934 62910\n41776 62671\n36656 54966\n96655 100000\n2710 4082\n30413 45619\n63171 94758\n24046 36086\n49013 73463\n53723 80518\n89542 100000\n90936 100000\n571 875\n64472 96694\n23786 35688\n6121 9211\n10973 16461\n91065 100000\n4913 7390\n94355 100000\n67423 100000\n95773 100000\n72431 100000\n67213 100000\n40373 60540\n95222 100000\n43257 64881\n34337 51485\n58076 87103\n93555 100000\n61044 91577\n78216 100000\n19768 29724\n30865 46319\n99569 100000\n95739 100000\n24415 36641\n81745 100000\n11465 17209\n30517 45783\n2142 3215\n20379 30636\n1776 2673\n4513 6791\n33844 50756\n50719 76037\n54569 81802\n48053 72006\n99952 100000\n98473 100000\n27282 40899\n8218 12341\n12921 19392\n72309 100000\n5814 8739\n3912 5891\n15642 23536\n91421 100000\n13359 20063\n60914 91384\n78171 100000\n81507 100000\n28609 42903\n77257 100000\n93841 100000\n69735 100000\n40701 61031\n17290 25991\n10326 15500\n20850 31339\n8737 13109\n17155 25780\n83750 100000\n933 1419\n54861 82252\n63905 95836\n27046 40545\n79200 100000\n87349 100000\n9250 13877\n29761 44623\n4780 7199\n95130 100000\n17436 26205\n46260 69359\n52535 78731\n1978 2972\n26486 39733\n64707 97052\n18824 28308\n37976 56945\n49959 74889\n17639 26500\n72593 100000\n90507 100000\n58951 88421\n30071 45088\n25909 38874\n83076 100000\n4244 6388\n72330 100000\n59512 89279\n4653 7005\n79158 100000\n53959 80878\n89501 100000\n63485 95210\n41213 61813\n87234 100000\n74360 100000\n48538 72747\n58550 87821\n93812 100000\n25323 37997\n67930 100000\n92237 100000\n36501 54728\n22584 33899\n1870 2815\n30764 46168\n80148 100000\n50258 75340\n78666 100000\n59281 88919\n36794 55185\n93104 100000\n32054 48096\n96866 100000\n55452 83154\n89803 100000\n6254 9418\n12442 18671\n25018 37540\n74403 100000\n21961 32985\n32770 49155\n96738 100000\n15805 23770\n20139 30276\n80974 100000\n76863 100000\n20864 31358\n30359 45529\n28994 43491\n98533 100000\n70572 100000\n17146 25765\n68242 100000\n62957 94443\n27751 41619\n69642 100000\n22542 33832\n69142 100000\n13433 20181\n31597 47410\n12525 18790\n30286 45419\n3994 6002\n6197 9330\n2256 3389\n81347 100000\n3369 5085\n12242 18379\n26678 40017\n93008 100000\n37219 55805\n77734 100000\n93592 100000\n54692 81992\n58988 88474\n69134 100000\n3305 4988\n65254 97873\n84629 100000\n61548 92322\n25515 38278\n46775 70114\n16725 25148\n34084 51107\n61861 92802\n61390 92093\n77998 100000\n22341 33535\n42649 63965\n62155 93232\n55375 83040\n96841 100000\n12888 19342\n11029 16550\n8934 13401\n82394 100000\n97719 100000\n44233 66339\n53489 80171\n87839 100000\n60201 90317\n52351 78458\n57239 85842\n88020 100000\n79491 100000\n25354 38042\n27665 41482\n70857 100000\n56027 84025\n85836 100000\n37683 56505\n54616 81874\n46370 69517\n26105 39169\n86959 100000\n38579 57853\n96491 100000\n88130 100000\n98091 100000\n7880 11836\n93102 100000\n81418 100000\n60477 90731\n89609 100000\n80645 100000\n34251 51356\n96699 100000\n61503 92256\n91891 100000\n93443 100000\n25867 38807\n56531 84788\n50765 76107\n66211 99335\n68457 100000\n90297 100000\n9604 14412\n43245 64863\n42228 63348\n44481 66706\n15724 23654\n78774 100000\n22569 33879\n79704 100000\n22027 33082\n97135 100000\n95612 100000\n78258 100000\n17460 26240\n2533 3818\n21867 32853\n72729 100000\n22921 34395\n58363 87548\n7133 10728\n39821 59708\n28673 43005\n85841 100000\n44473 66694\n7910 11886\n54325 81423\n50666 75958\n34393 51578\n40727 61075\n68139 100000\n94979 100000\n22225 33372\n86709 100000\n74520 100000\n57275 85901\n83799 100000\n76059 100000\n44804 67194\n24817 37238\n90227 100000\n53637 80392\n20868 31366\n56525 84779\n8261 12404\n12575 18868\n98684 100000\n64351 96513\n48000 71933\n64649 96962\n35862 53769\n48232 72274\n48711 73012\n56502 84744\n98140 100000\n64211 96307\n20721 31145\n49027 73484\n5695 8559\n70473 100000\n19943 29983\n87716 100000\n52738 79039\n33505 50241\n40279 60397\n6178 9301\n61856 92794\n33749 50608\n36305 54433\n23347 35038\n31060 46618\n19321 29044\n65088 97628\n9922 14897\n55258 82864\n9002 13498\n44096 66133\n82566 100000\n34773 52155\n7225 10866\n61257 91889\n74385 100000\n77032 100000\n10317 15489\n49475 74152\n20353 30599\n38747 58102\n38276 57402\n62341 93529\n61663 92498\n19618 29499\n69838 100000\n83370 100000\n95657 100000\n82549 100000\n86644 100000\n4423 6659\n12051 18093\n83495 100000\n27508 41253\n27546 41308\n70897 100000\n46782 70125\n71702 100000\n89627 100000\n98447 100000\n70709 100000\n21339 32075\n50552 75782\n66796 100000\n11396 17105\n86494 100000\n82904 100000\n17325 26044\n28123 42171\n86946 100000\n71286 100000\n95905 100000\n23852 35791\n26746 40110\n29781 44655\n92734 100000\n98767 100000\n63263 94891\n19503 29325\n862 1310\n77333 100000\n29289 43927\n15927 23947\n83842 100000\n56026 84024\n55355 83009\n68052 100000\n56040 84045\n38220 57313\n75622 100000\n65573 98361\n62050 93082\n57650 86465\n41066 61592\n12072 18124\n23803 35713\n38352 57510\n7099 10676\n97411 100000\n70222 100000\n60177 90283\n55682 83510\n67538 100000\n54081 81057\n34922 52381\n67049 100000\n10167 15262\n25044 37579\n29540 44300\n37840 56740\n11662 17502\n13940 20959\n95266 100000\n5652 8496\n91090 100000\n42999 64488\n31127 46714\n41977 62970\n9003 13500\n80036 100000\n34557 51825\n54523 81735\n21726 32637\n49938 74858\n47375 71013\n15939 23964\n25139 37728\n80011 100000\n48349 72454\n51926 77821\n29270 43899\n65654 98487\n3808 5736\n79159 100000\n60824 91244\n82435 100000\n79357 100000\n28138 42195\n20157 30303\n47250 70824\n82572 100000\n17992 27029\n60445 90686\n49825 74699\n18800 28272\n35403 53088\n69581 100000\n49159 73683\n30110 45151\n48017 71955\n7117 10703\n69752 100000\n39746 59596\n24758 37146\n94202 100000\n26954 40410\n18966 28520\n78275 100000\n16670 25068\n66578 99877\n27295 40922\n207 319\n38047 57055\n53779 80596\n3020 4559\n38023 57018\n50485 75686\n29068 43595\n25664 38493\n1119 1689\n6699 10079\n61880 92832\n3563 5367\n82181 100000\n81227 100000\n17712 26612\n58556 87828\n10620 15927\n22337 33529\n25451 38188\n97629 100000\n46436 69617\n18938 28479\n12312 18475\n42212 63321\n30977 46498\n89173 100000\n39029 58508\n37283 55904\n34756 52128\n93836 100000\n42220 63335\n39849 59748\n1171 1774\n7585 11401\n38685 58010\n39241 58833\n67037 100000\n31732 47616\n84499 100000\n82584 100000\n36322 54463\n6073 9136\n82505 100000\n55173 82739\n66060 99108\n49342 73954\n8455 12688\n107 166\n93760 100000\n45008 67498\n14448 21722\n23721 35589\n68820 100000\n63758 95604\n93198 100000\n70087 100000\n1081 1633\n79413 100000\n68532 100000\n54435 81605\n95157 100000\n76359 100000\n45075 67607\n60970 91468\n53532 80236\n22539 33829\n53817 80658\n27021 40508\n98707 100000\n19091 28706\n5062 7615\n51310 76913\n13062 19612\n95700 100000\n8952 13428\n92786 100000\n31483 47236\n79501 100000\n77215 100000\n42619 63925\n35049 52565\n3021 4560\n64287 96419\n98208 100000\n46245 69337\n91831 100000\n54344 81455\n64573 96846\n3724 5611\n20156 30302\n3776 5692\n16991 25530\n4454 6705\n92293 100000\n79421 100000\n17197 25848\n73025 100000\n73935 100000\n88923 100000\n82258 100000\n34293 51419\n99514 100000\n22344 33539\n9567 14354\n71123 100000\n77131 100000\n26979 40444\n76983 100000\n88930 100000\n24999 37513\n30545 45829\n74157 100000\n3843 5784\n13218 19855\n40013 59996\n79946 100000\n87312 100000\n60703 91060\n14670 22066\n74287 100000\n40118 60153\n17527 26337\n30398 45596\n86314 100000\n83129 100000\n71127 100000\n83231 100000\n63356 95021\n92707 100000\n46096 69122\n96742 100000\n52102 78088\n71037 100000\n93252 100000\n96547 100000\n39838 59732\n57122 85664\n5515 8286\n42430 63644\n78382 100000\n92766 100000\n22968 34466\n6558 9862\n98250 100000\n29147 43712\n99255 100000\n50280 75376\n31726 47608\n63664 95473\n66587 99892\n13194 19817\n41188 61774\n31357 47051\n5155 7753\n99011 100000\n86329 100000\n56602 84895\n99964 100000\n68793 100000\n1635 2466\n9221 13830\n38336 57487\n32171 48265\n4503 6774\n52881 79256\n20761 31204\n40353 60507\n19387 29150\n52811 79148\n71343 100000\n43860 65779\n48341 72441\n10485 15733\n50495 75702\n51787 77612\n75996 100000\n48408 72540\n45081 67616\n25903 38863\n15856 23840\n57460 86185\n32405 48618\n34515 51763\n44570 66842\n14164 21298\n66354 99547\n61962 92955\n76671 100000\n63716 95547\n81443 100000\n43879 65807\n11005 16513\n95150 100000\n63298 94937\n50323 75440\n99322 100000\n5183 7794\n1697 2556\n29812 44708\n89101 100000\n2852 4304\n19841 29830\n28154 42217\n95989 100000\n63487 95213\n14276 21465\n8865 13302\n44755 67122\n62023 93042\n28011 42009\n98398 100000\n69859 100000\n35132 52690\n31641 47475\n97118 100000\n82935 100000\n8059 12098\n8408 12621\n78181 100000\n55858 83767\n71956 100000\n71271 100000\n48028 71972\n27411 41100\n74329 100000\n9983 14982\n59929 89917\n43741 65611\n96686 100000\n65447 98171\n88038 100000\n83881 100000\n19975 30031\n88819 100000\n15994 24048\n80725 100000\n54397 81543\n65123 97675\n25291 37949\n22067 33139\n92466 100000\n67844 100000\n92933 100000\n29552 44316\n46500 69706\n34576 51856\n88216 100000\n39018 58492\n20853 31344\n50611 75869\n37696 56523\n19277 28976\n941 1430\n15938 23963\n27491 41228\n81721 100000\n33491 50222\n31067 46628\n32439 48668\n9829 14748\n70610 100000\n13445 20200\n91234 100000\n61475 92220\n41971 62961\n76471 100000\n95813 100000\n33838 50745\n73320 100000\n6854 10303\n51523 77216\n96206 100000\n59589 89395\n2135 3203\n54314 81409\n85282 100000\n36311 54443\n67589 100000\n2815 4248\n87237 100000\n24112 36189\n43684 65524\n54119 81115\n39656 59463\n17507 26307\n23094 34663\n52238 78287\n84488 100000\n77139 100000\n71943 100000\n31058 46614\n34153 51212\n88320 100000\n59160 88736\n23573 35372\n86693 100000\n1515 2294\n53730 80526\n20796 31259\n76385 100000\n26532 39804\n1246 1888\n90662 100000\n50367 75509\n18192 27333\n3136 4729\n35776 53635\n82864 100000\n58740 88104\n10611 15915\n29306 43956\n34121 51161\n46651 69932\n35556 53311\n51824 77672\n17098 25688\n76129 100000\n53535 80240\n5517 8289\n73223 100000\n59362 89039\n89780 100000\n86704 100000\n34938 52404\n94141 100000\n83447 100000\n18715 28139\n81119 100000\n36645 54950\n55151 82705\n70482 100000\n63624 95416\n38281 57410\n99813 100000\n73150 100000\n52807 79142\n17896 26886\n55741 83599\n13774 20705\n61497 92249\n81575 100000\n88248 100000\n9058 13579\n50893 76299\n63100 94663\n31082 46650\n57671 86500\n40705 61036\n93901 100000\n45184 67769\n58756 88130\n94877 100000\n13848 20816\n57394 86087\n267 410\n87933 100000\n21257 31954\n62000 93011\n97161 100000\n98847 100000\n16776 25218\n29228 43831\n90237 100000\n51232 76807\n56162 84229\n81627 100000\n77860 100000\n70283 100000\n94598 100000\n43647 65467\n28555 42825\n51534 77232\n62424 93654\n71219 100000\n32914 49368\n29058 43585\n33177 49752\n87927 100000\n48347 72451\n89179 100000\n52537 78735\n52647 78903\n49884 74786\n82600 100000\n92182 100000\n16760 25196\n31634 47464\n82500 100000\n4938 7431\n56798 85180\n79007 100000\n22418 33650\n52615 78854\n94760 100000\n55557 83321\n46625 69893\n29207 43798\n5696 8561\n2106 3161\n11404 17116\n2266 3405\n18480 27766\n64984 97470\n67006 100000\n51062 76549\n42213 63323\n74039 100000\n11758 17649\n80879 100000\n5870 8826\n69279 100000\n79245 100000\n42285 63427\n21792 32739\n5239 7879\n3652 5501\n88984 100000\n40767 61139\n5915 8891\n92901 100000\n41172 61752\n78516 100000\n96788 100000\n48614 72864\n25964 38954\n71864 100000\n96610 100000\n8109 12175\n8608 12915\n57517 86269\n51549 77256\n3071 4636\n5694 8557\n60050 90100\n23862 35803\n4144 6235\n38756 58118\n24361 36561\n67535 100000\n61993 93000\n75546 100000\n2465 3713\n34184 51259\n80043 100000\n39789 59660\n71420 100000\n24863 37305\n95214 100000\n68858 100000\n53872 80741\n25240 37877\n24378 36586\n18514 27819\n68119 100000\n43842 65755\n28092 42129\n65279 97911\n270 415\n26633 39958\n62364 93563\n10586 15878\n68628 100000\n30717 46094\n72962 100000\n87252 100000\n73332 100000\n15031 22612\n73159 100000\n17012 25560\n15323 23057\n61840 92770\n46019 69005\n57698 86537\n44008 66009\n20695 31101\n35224 52822\n86141 100000\n47892 71764\n7983 11990\n11571 17367\n7045 10593\n48973 73402\n33780 50657\n31043 46596\n2955 4462\n61030 91557\n13917 20923\n53283 79868\n32250 48388\n29171 43747\n22877 34330\n2657 4002\n8611 12920\n62521 93801\n16447 24729\n39228 58807\n9403 14106\n99429 100000\n41745 62619\n75540 100000\n93538 100000\n69389 100000\n26373 39566\n39030 58510\n28455 42676\n69377 100000\n76627 100000\n69087 100000\n1066 1611\n31750 47641\n88587 100000\n95212 100000\n20172 30325\n87201 100000\n69616 100000\n24541 36822\n85206 100000\n9508 14263\n61020 91544\n12339 18519\n83527 100000\n79555 100000\n86805 100000\n57701 86540\n41674 62507\n9843 14770\n10405 15612\n57470 86200\n27399 41080\n39977 59939\n84699 100000\n14530 21845\n59101 88641\n29167 43740\n97844 100000\n94368 100000\n5302 7973\n86264 100000\n15485 23303\n16639 25020\n33808 50704\n98480 100000\n28058 42080\n85458 100000\n67651 100000\n60923 91399\n41639 62456\n62404 93622\n14465 21750\n31979 47981\n87476 100000\n83675 100000\n74167 100000\n83134 100000\n26777 40159\n29775 44647\n97319 100000\n83939 100000\n44896 67333\n37827 56720\n42654 63971\n64859 97272\n76402 100000\n82845 100000\n42849 64265\n74904 100000\n57257 85872\n77127 100000\n74082 100000\n58439 87664\n69596 100000\n61144 91722\n26708 40058\n95513 100000\n18693 28102\n96130 100000\n36537 54780\n68082 100000\n88553 100000\n65258 97878\n61328 92001\n11050 16581\n91678 100000\n16761 25197\n68292 100000\n6437 9694\n35742 53585\n42868 64294\n55621 83420\n23930 35907\n32432 48659\n48800 73142\n37664 56479\n71859 100000\n20080 30185\n17985 27018\n13085 19648\n97859 100000\n83672 100000\n17705 26602\n37296 55924\n21562 32408\n51027 76497\n80836 100000\n95128 100000\n61489 92240\n33835 50742\n81502 100000\n61170 91766\n60567 90858\n77130 100000\n48985 73420\n81794 100000\n92779 100000\n18033 27093\n39617 59404\n51201 76759\n75693 100000\n53934 80839\n57756 86621\n74160 100000\n36473 54688\n55109 82641\n12472 18716\n7592 11411\n41041 61553\n12131 18207\n1122 1694\n91112 100000\n70180 100000\n3542 5338\n97763 100000\n83998 100000\n13383 20099\n1663 2510\n94555 100000\n96187 100000\n52953 79364\n62282 93430\n18206 27354\n20538 30858\n6996 10518\n85963 100000\n82522 100000\n7560 11363\n53162 79680\n5627 8459\n77989 100000\n94099 100000\n95342 100000\n71954 100000\n6105 9184\n26951 40405\n28958 43440\n25219 37846\n53222 79775\n20193 30357\n20997 31566\n91566 100000\n79236 100000\n13720 20626\n45112 67658\n47202 70755\n95999 100000\n77048 100000\n88496 100000\n11946 17929\n31818 47741\n32758 49137\n78061 100000\n80807 100000\n44611 66906\n40339 60486\n85844 100000\n32893 49336\n45589 68380\n26567 39856\n84846 100000\n7019 10553\n20109 30229\n19270 28968\n16955 25479\n38497 57733\n49446 74109\n21322 32049\n96126 100000\n30840 46279\n87836 100000\n40225 60319\n86632 100000\n17698 26590\n16939 25458\n26690 40034\n25450 38186\n73941 100000\n30072 45089\n21437 32223\n63313 94959\n72876 100000\n80466 100000\n78072 100000\n94024 100000\n18350 27567\n52813 79151\n57269 85894\n30926 46416\n66878 100000\n80130 100000\n61429 92148\n63996 95969\n52380 78500\n6799 10221\n31798 47710\n9462 14187\n12163 18258\n80149 100000\n44377 66556\n31411 47128\n80547 100000\n18969 28525\n55334 82977\n8194 12305\n45530 68288\n59906 89884\n88541 100000\n31460 47201\n40528 60772\n39081 58582\n852 1295\n85953 100000\n46525 69746\n31734 47620\n3885 5846\n29419 44125\n23537 35314\n51553 77262\n30473 45714\n58911 88357\n63839 95732\n99076 100000\n10256 15398\n31824 47750\n84757 100000\n72730 100000\n35783 53647\n65949 98937\n25007 37525\n59413 89114\n76201 100000\n66599 99910\n72502 100000\n84924 100000\n80787 100000\n99722 100000\n80422 100000\n32444 48676\n886 1345\n55004 82475\n21947 32968\n1110 1674\n10000 15009\n65364 98049\n18016 27066\n91162 100000\n11553 17341\n5219 7847\n67874 100000\n23958 35954\n88260 100000\n27902 41847\n52356 78466\n11609 17424\n35326 52972\n83990 100000\n73376 100000\n84598 100000\n845 1285\n29944 44905\n27507 41251\n53336 79953\n90020 100000\n48682 72966\n97838 100000\n75232 100000\n88414 100000\n37984 56959\n56667 84989\n77367 100000\n69695 100000\n34711 52060\n41330 61993\n14799 22267\n34649 51964\n27373 41037\n76899 100000\n85325 100000\n66319 99495\n94481 100000\n82535 100000\n11175 16768\n92547 100000\n65669 98509\n34574 51854\n40389 60564\n49915 74827\n63713 95543\n65581 98374\n86067 100000\n73747 100000\n22988 34492\n3822 5754\n48731 73040\n20399 30662\n48833 73193\n39697 59529\n20223 30404\n33371 50036\n304 467\n15673 23579\n81912 100000\n97621 100000\n65673 98515\n39534 59276\n25467 38211\n99914 100000\n58890 88328\n21700 32594\n17874 26853\n49972 74907\n76116 100000\n93906 100000\n98149 100000\n43758 65636\n52562 78773\n36484 54704\n21646 32520\n52968 79384\n64406 96597\n95599 100000\n93028 100000\n7840 11776\n19592 29456\n5544 8330\n66262 99410\n90267 100000\n80837 100000\n15010 22583\n67916 100000\n14421 21681\n22522 33804\n34015 51005\n16816 25279\n55755 83623\n49549 74271\n78210 100000\n87598 100000\n62233 93359\n69203 100000\n4935 7425\n55150 82704\n67685 100000\n1316 1994\n15470 23280\n41655 62481\n1832 2756\n31723 47603\n24759 37148\n84046 100000\n13958 20987\n12486 18734\n87228 100000\n28464 42692\n19119 28746\n71559 100000\n32854 49276\n10933 16400\n61215 91831\n86521 100000\n65994 99006\n96257 100000\n29091 43627\n72797 100000\n71753 100000\n69959 100000\n79266 100000\n67103 100000\n73579 100000\n90125 100000\n52846 79205\n74482 100000\n5358 8058\n55516 83257\n53686 80459\n73304 100000\n75792 100000\n22861 34306\n93649 100000\n92821 100000\n16610 24976\n90884 100000\n81111 100000\n31050 46603\n65325 97985\n60282 90435\n88982 100000\n50156 75179\n27930 41890\n24898 37354\n69108 100000\n88758 100000\n68063 100000\n42370 63550\n97913 100000\n68399 100000\n14900 22412\n68726 100000\n86515 100000\n50972 76414\n40500 60732\n20608 30968\n51577 77294\n65826 98748\n53661 80427\n11039 16566\n39501 59225\n96827 100000\n36426 54618\n41077 61609\n64388 96569\n78973 100000\n19926 29959\n63241 94858\n98708 100000\n7764 11668\n42401 63599\n66979 100000\n36437 54632\n6835 10274\n62571 93869\n40036 60030\n66214 99340\n47655 71421\n32190 48293\n31697 47561\n351 542\n6922 10401\n51334 76948\n14944 22481\n95462 100000\n50289 75389\n17729 26635\n24702 37059\n47117 70625\n93177 100000\n65205 97800\n17761 26687\n61869 92815\n48151 72156\n37642 56445\n24364 36565\n3135 4728\n5700 8567\n2392 3595\n56184 84260\n2555 3850\n89889 100000\n34779 52161\n44012 66014\n40008 59988\n96352 100000\n36273 54386\n50578 75821\n37113 55647\n22319 33506\n75903 100000\n62284 93433\n41427 62139\n10838 16258\n10568 15849\n58025 87022\n60716 91078\n49389 74024\n28050 42067\n87948 100000\n46901 70298\n29467 44192\n26750 40116\n98943 100000\n62064 93101\n23584 35389\n8997 13493\n20635 31011\n1757 2646\n22746 34136\n14547 21871\n92234 100000\n91378 100000\n44964 67429\n57383 86073\n41121 61670\n99125 100000\n67365 100000\n25841 38772\n41071 61599\n48576 72802\n87585 100000\n74662 100000\n76507 100000\n34939 52405\n8582 12876\n61082 91633\n15676 23583\n57514 86263\n33495 50226\n7765 11669\n21847 32822\n83083 100000\n39494 59216\n41856 62795\n36159 54206\n93715 100000\n67226 100000\n6329 9535\n80099 100000\n18418 27670\n39702 59537\n53921 80819\n92492 100000\n64850 97259\n69864 100000\n9400 14102\n18454 27723\n47699 71484\n44674 66995\n59678 89536\n83899 100000\n46197 69266\n28787 43180\n31718 47594\n92349 100000\n70414 100000\n28912 43367\n5759 8651\n66828 100000\n20217 30397\n37546 56290\n48351 72457\n95770 100000\n95650 100000\n66642 99974\n96482 100000\n43418 65129\n215 331\n51453 77120\n4229 6366\n88737 100000\n28533 42793\n23525 35299\n70386 100000\n14813 22288\n75273 100000\n68190 100000\n13883 20870\n18271 27449\n27989 41975\n71333 100000\n17391 26141\n26661 39995\n20518 30833\n51489 77168\n5228 7863\n16148 24277\n11432 17160\n62358 93554\n44458 66672\n69360 100000\n53052 79513\n40628 60927\n34871 52306\n40211 60299\n22826 34255\n22056 33123\n24324 36506\n39827 59717\n63252 94874\n97009 100000\n30279 45410\n97155 100000\n56282 84411\n65818 98736\n22990 34494\n37288 55911\n16710 25127\n54739 82067\n8212 12332\n20609 30970\n50517 75732\n74315 100000\n35428 53127\n70460 100000\n56643 84956\n83976 100000\n50085 75071\n74144 100000\n66401 99619\n29350 44030\n66934 100000\n73516 100000\n76723 100000\n2210 3321\n13898 20892\n34117 51155\n89861 100000\n53579 80302\n59871 89831\n2512 3784\n70250 100000\n93729 100000\n86819 100000\n97486 100000\n21634 32504\n51105 76615\n96964 100000\n16657 25048\n40238 60338\n99751 100000\n67955 100000\n71215 100000\n91302 100000\n27541 41300\n91404 100000\n49980 74922\n32326 48495\n5793 8705\n54239 81289\n68374 100000\n30115 45161\n50364 75504\n22845 34280\n76832 100000\n97524 100000\n87045 100000\n25682 38518\n77872 100000\n46226 69307\n99577 100000\n45030 67531\n22364 33568\n99387 100000\n86150 100000\n93662 100000\n39093 58600\n7458 11207\n48702 72998\n96417 100000\n67863 100000\n16568 24913\n41705 62558\n26668 40004\n92354 100000\n56137 84189\n53354 79978\n35454 53168\n48643 72907\n26334 39512\n15881 23879\n40107 60136\n95608 100000\n50679 75977\n14264 21446\n5796 8711\n96189 100000\n51612 77348\n47946 71851\n23356 35051\n65485 98225\n13706 20602\n85217 100000\n45614 68415\n60912 91381\n82939 100000\n83658 100000\n46716 70026\n55878 83799\n89454 100000\n27696 41528\n11166 16757\n79066 100000\n318 485\n23319 34993\n92236 100000\n29627 44423\n37786 56662\n10306 15471\n62980 94479\n66096 99160\n26451 39683\n43529 65297\n26026 39045\n80042 100000\n3600 5420\n14742 22181\n9909 14878\n63871 95782\n89532 100000\n51200 76757\n79448 100000\n99260 100000\n52450 78606\n49093 73582\n2183 3282\n60128 90218\n37968 56931\n77146 100000\n1928 2901\n45835 68735\n94926 100000\n41467 62197\n45470 68197\n28190 42272\n29786 44663\n67812 100000\n88648 100000\n37979 56950\n47022 70483\n97732 100000\n54056 81021\n31297 46962\n33249 49861\n25370 38065\n22648 33999\n91400 100000\n50389 75542\n19103 28720\n58952 88422\n13168 19778\n39337 58981\n49147 73664\n24733 37108\n79131 100000\n80388 100000\n3287 4960\n30268 45393\n10824 16237\n62952 94436\n38781 58152\n72825 100000\n78533 100000\n80424 100000\n89504 100000\n79712 100000\n80060 100000\n63280 94914\n58429 87647\n23598 35408\n71922 100000\n21247 31937\n6407 9655\n50269 75358\n51931 77830\n60767 91160\n87683 100000\n40218 60309\n31416 47137\n10930 16397\n88468 100000\n41973 62964\n5359 8060\n48364 72475\n68567 100000\n72016 100000\n37098 55625\n90041 100000\n71940 100000\n89253 100000\n37777 56648\n23113 34689\n60880 91331\n79177 100000\n93325 100000\n15404 23179\n71784 100000\n6213 9356\n99178 100000\n27773 41651\n80624 100000\n47278 70872\n85716 100000\n17334 26059\n57663 86488\n68872 100000\n72462 100000\n61628 92443\n91164 100000\n76148 100000\n56960 85424\n74843 100000\n74416 100000\n3174 4790\n50164 75193\n65213 97811\n87695 100000\n56778 85150\n34655 51973\n52557 78766\n19391 29156\n59528 89300\n80414 100000\n6214 9358\n66686 100000\n52459 78620\n9020 13526\n4943 7439\n78957 100000\n54649 81923\n58015 87007\n88083 100000\n44655 66969\n13592 20426\n31852 47791\n68552 100000\n24667 37005\n88267 100000\n27237 40832\n64380 96555\n13331 20020\n46482 69680\n25277 37931\n66367 99568\n25984 38982\n7841 11778\n89505 100000\n97678 100000\n4798 7222\n79016 100000\n27563 41330\n77337 100000\n58678 88007\n60342 90527\n27952 41925\n89881 100000\n58923 88376\n46739 70061\n41144 61705\n99119 100000\n753 1149\n24084 36142\n30434 45657\n58846 88259\n38460 57675\n58152 87219\n52294 78374\n56633 84941\n53623 80372\n90416 100000\n85658 100000\n7626 11460\n92398 100000\n24390 36605\n64135 96189\n75679 100000\n94341 100000\n68205 100000\n26862 40279\n79366 100000\n29427 44136\n197 302\n21134 31765\n91314 100000\n16769 25208\n23455 35196\n12610 18920\n43540 65315\n75948 100000\n99120 100000\n92075 100000\n94814 100000\n51640 77388\n82268 100000\n35487 53211\n50533 75755\n70665 100000\n54904 82316\n60338 90523\n75839 100000\n90312 100000\n25319 37991\n69526 100000\n24379 36587\n29974 44950\n97971 100000\n65981 98984\n29514 44265\n83253 100000\n7105 10682\n54005 80942\n92652 100000\n74541 100000\n78646 100000\n54436 81606\n74486 100000\n35908 53838\n1714 2581\n54212 81252\n2452 3692\n8428 12651\n95065 100000\n35566 53326\n63027 94551\n48810 73159\n22191 33327\n84070 100000\n34367 51537\n87877 100000\n78941 100000\n81126 100000\n49538 74254\n61803 92707\n64928 97382\n55970 83939\n82567 100000\n22700 34072\n54303 81392\n57562 86333\n53269 79845\n88109 100000\n10151 15236\n99253 100000\n14714 22138\n32165 48258\n83039 100000\n85456 100000\n84434 100000\n88914 100000\n8938 13408\n52427 78574\n42268 63401\n66757 100000\n98015 100000\n72881 100000\n63522 95266\n95495 100000\n49939 74859\n63266 94897\n72817 100000\n62993 94499\n609 933\n60400 90617\n80067 100000\n18181 27315\n31239 46881\n60625 90942\n30732 46115\n23944 35930\n83891 100000\n95035 100000\n65331 97994\n21087 31697\n54186 81214\n90291 100000\n91996 100000\n36878 55298\n50822 76191\n79172 100000\n95147 100000\n98713 100000\n50208 75261\n55753 83619\n30769 46175\n54636 81903\n44351 66518\n54318 81414\n52542 78742\n14299 21499\n57297 85936\n52929 79328\n4885 7345\n73891 100000\n14910 22428\n59112 88658\n40658 60970\n99890 100000\n10442 15673\n37800 56683\n36658 54970\n35358 53017\n49798 74659\n22318 33505\n42307 63457\n82231 100000\n25381 38082\n83413 100000\n12367 18560\n29333 44002\n60965 91462\n17579 26414\n64157 96223\n61602 92406\n39424 59109\n33022 49524\n30225 45329\n67136 100000\n59054 88573\n52456 78614\n4122 6205\n30751 46145\n83379 100000\n82203 100000\n58717 88069\n87200 100000\n49644 74416\n61006 91522\n90313 100000\n91355 100000\n23343 35032\n43072 64596\n73614 100000\n46156 69208\n24681 37027\n47269 70857\n43850 65766\n22038 33098\n92743 100000\n81367 100000\n38075 57094\n30544 45827\n99276 100000\n4510 6786\n34823 52229\n73901 100000\n30026 45026\n80357 100000\n69662 100000\n40682 61003\n14767 22218\n20212 30391\n73069 100000\n23395 35108\n15272 22983\n45643 68455\n78093 100000\n71504 100000\n9539 14313\n37315 55951\n83053 100000\n23517 35289\n46641 69915\n40414 60600\n27824 41729\n43328 64995\n16169 24308\n25064 37614\n49081 73564\n40835 61245\n39560 59318\n21951 32973\n55409 83089\n14139 21264\n37340 55984\n89288 100000\n12029 18056\n18653 28034\n16111 24222\n67142 100000\n85782 100000\n47436 71094\n55262 82869\n54701 82007\n74952 100000\n93026 100000\n1778 2676\n5361 8063\n34981 52467\n53752 80560\n81278 100000\n28631 42941\n61435 92158\n87218 100000\n69988 100000\n60830 91253\n42299 63445\n12907 19371\n33187 49768\n68215 100000\n19222 28896\n15331 23071\n60434 90668\n92367 100000\n99597 100000\n2567 3870\n92001 100000\n18082 27166\n14258 21437\n47186 70731\n25696 38539\n6291 9475\n83186 100000\n70046 100000\n32586 48876\n79147 100000\n90908 100000\n71771 100000\n32946 49415\n17837 26803\n76881 100000\n53146 79652\n141 218\n84390 100000\n44866 67287\n2483 3738\n40309 60442\n99030 100000\n42947 64411\n95331 100000\n90453 100000\n87989 100000\n22054 33120\n8916 13378\n47191 70738\n84344 100000\n48662 72934\n23237 34871\n44276 66406\n67704 100000\n62856 94299\n90160 100000\n71040 100000\n48829 73188\n57956 86917\n94817 100000\n30389 45580\n30282 45413\n20066 30165\n15548 23395\n89327 100000\n59188 88778\n57586 86368\n68571 100000\n48903 73303\n1223 1853\n25461 38203\n95523 100000\n44219 66317\n827 1258\n16660 25053\n72482 100000\n69691 100000\n39086 58588\n11030 16552\n18078 27161\n68425 100000\n87396 100000\n59916 89897\n90068 100000\n37195 55768\n9953 14942\n86487 100000\n35565 53324\n86508 100000\n74526 100000\n29734 44586\n30827 46262\n8474 12717\n1348 2044\n99684 100000\n76177 100000\n58901 88345\n52819 79160\n90013 100000\n53969 80891\n32437 48664\n66181 99290\n89247 100000\n25094 37664\n85474 100000\n89052 100000\n42368 63547\n63718 95550\n81379 100000\n35488 53213\n84550 100000\n29769 44637\n70855 100000\n8740 13113\n45243 67857\n33228 49828\n79978 100000\n48819 73172\n10959 16437\n21602 32461\n14800 22269\n13703 20599\n50193 75241\n98597 100000\n68446 100000\n81603 100000\n18680 28079\n87013 100000\n33349 50003\n533 818\n92820 100000\n81343 100000\n94160 100000\n15638 23531\n63747 95589\n80442 100000\n57114 85655\n80859 100000\n9780 14677\n21528 32358\n55550 83313\n29600 44384\n491 751\n37245 55848\n93396 100000\n22315 33500\n99349 100000\n96755 100000\n87934 100000\n9352 14032\n88358 100000\n54461 81647\n8873 13313\n21982 33017\n86702 100000\n25495 38250\n53950 80863\n49401 74040\n8213 12333\n72981 100000\n35748 53594\n36963 55423\n17479 26267\n16498 24813\n72598 100000\n30127 45180\n83748 100000\n75701 100000\n88516 100000\n45078 67611\n12671 19019\n37869 56781\n48787 73124\n85451 100000\n11415 17131\n69795 100000\n7666 11521\n87529 100000\n71577 100000\n37876 56793\n78719 100000\n15112 22743\n48021 71961\n79848 100000\n23137 34726\n61885 92839\n38247 57355\n42460 63686\n97822 100000\n30198 45289\n98396 100000\n30859 46309\n23415 35140\n80916 100000\n56252 84370\n33326 49973\n83194 100000\n88611 100000\n61832 92754\n11502 17263\n65401 98104\n92964 100000\n75766 100000\n78207 100000\n29111 43656\n59878 89841\n96746 100000\n21734 32651\n28644 42962\n91343 100000\n895 1358\n65510 98264\n56749 85103\n31782 47688\n72931 100000\n7572 11382\n28758 43138\n11359 17048\n82511 100000\n99455 100000\n43297 64948\n50574 75814\n39891 59810\n43102 64646\n11540 17322\n61702 92552\n93550 100000\n32317 48481\n76194 100000\n45773 68643\n4934 7423\n41364 62045\n21199 31861\n45542 68309\n68001 100000\n90341 100000\n80671 100000\n38821 58206\n57857 86765\n88354 100000\n93799 100000\n1464 2217\n35942 53885\n6978 10491\n29448 44165\n59710 89586\n37238 55836\n99330 100000\n30290 45425\n74579 100000\n11584 17385\n52528 78722\n8338 12519\n83244 100000\n70411 100000\n53268 79843\n79461 100000\n46097 69123\n41765 62651\n52029 77982\n97385 100000\n84383 100000\n50303 75409\n30305 45447\n61156 91741\n99201 100000\n39137 58661\n87787 100000\n66612 99929\n29821 44720\n3494 5268\n39458 59160\n98440 100000\n7017 10550\n47469 71140\n69889 100000\n64165 96236\n41569 62350\n70256 100000\n19114 28737\n84031 100000\n28109 42155\n64619 96916\n68238 100000\n31178 46795\n47344 70969\n44864 67283\n90323 100000\n96015 100000\n36492 54714\n29721 44566\n65530 98298\n41647 62468\n25987 38986\n75781 100000\n36216 54294\n96776 100000\n26073 39120\n91118 100000\n18444 27707\n79912 100000\n18090 27178\n740 1129\n88846 100000\n38627 57918\n66077 99134\n53773 80589\n92047 100000\n65988 98995\n21347 32086\n63340 94997\n2238 3361\n46073 69090\n94314 100000\n84569 100000\n91485 100000\n15915 23931\n22393 33612\n71863 100000\n50143 75157\n28346 42511\n93289 100000\n20843 31329\n21218 31891\n12282 18433\n44550 66812\n56053 84063\n925 1407\n28415 42615\n23771 35666\n69435 100000\n66965 100000\n84062 100000\n68522 100000\n12563 18849\n2629 3960\n46997 70444\n51231 76806\n98689 100000\n39503 59228\n55427 83114\n41772 62664\n3907 5882\n65001 97492\n38749 58106\n43438 65162\n89344 100000\n76009 100000\n78609 100000\n75672 100000\n41271 61905\n79058 100000\n61724 92583\n62647 93983\n65095 97637\n55037 82530\n92811 100000\n34657 51976\n7480 11242\n6506 9789\n7776 11682\n89940 100000\n42259 63390\n99802 100000\n26012 39026\n84185 100000\n21146 31782\n34661 51981\n53035 79487\n72414 100000\n29652 44460\n94675 100000\n15145 22790\n93569 100000\n15513 23340\n71141 100000\n24179 36285\n75420 100000\n75894 100000\n52911 79299\n50773 76117\n83224 100000\n8768 13156\n69870 100000\n11604 17416\n3004 4536\n78217 100000\n56130 84180\n2498 3764\n28127 42177\n85777 100000\n13115 19694\n49061 73537\n58725 88080\n45345 68013\n9466 14193\n28633 42944\n18710 28131\n27159 40717\n57079 85605\n38461 57676\n85633 100000\n43880 65808\n90349 100000\n38814 58198\n56408 84606\n78490 100000\n44107 66149\n15351 23100\n33973 50943\n57955 86916\n73186 100000\n57214 85806\n71565 100000\n8297 12454\n74744 100000\n66220 99348\n74571 100000\n90596 100000\n90722 100000\n46644 69920\n15114 22746\n64138 96194\n57704 86545\n79787 100000\n86325 100000\n80643 100000\n71317 100000\n76025 100000\n24080 36135\n63165 94750\n28957 43439\n8320 12489\n48512 72703\n32993 49483\n49477 74155\n85722 100000\n9629 14449\n53776 80592\n34945 52412\n72348 100000\n42646 63960\n44435 66642\n45813 68701\n20648 31029\n98014 100000\n87075 100000\n5789 8698\n45239 67851\n20189 30350\n19714 29642\n4813 7245\n58250 87369\n28577 42858\n64544 96803\n45353 68025\n97834 100000\n67389 100000\n66800 100000\n60671 91013\n99084 100000\n1375 2082\n29667 44484\n16247 24428\n5437 8171\n81108 100000\n61592 92388\n96230 100000\n97400 100000\n3278 4947\n42624 63931\n14554 21882\n75235 100000\n51465 77134\n12396 18603\n67919 100000\n88904 100000\n69713 100000\n91794 100000\n25206 37827\n41930 62904\n15814 23782\n8877 13320\n46337 69473\n53417 80070\n87434 100000\n50387 75538\n43553 65334\n59614 89433\n17257 25939\n59132 88691\n99140 100000\n4905 7376\n11280 16929\n80122 100000\n10899 16350\n45609 68406\n89133 100000\n45615 68416\n26599 39905\n28772 43159\n60098 90174\n42842 64256\n4175 6286\n65961 98955\n22749 34141\n96553 100000\n53235 79795\n59895 89868\n30024 45022\n12340 18520\n53855 80717\n89107 100000\n17703 26599\n36139 54178\n87041 100000\n57056 85569\n11383 17082\n77443 100000\n94027 100000\n13447 20204\n43898 65836\n45406 68104\n68794 100000\n81201 100000\n89623 100000\n78491 100000\n55901 83832\n57877 86796\n91856 100000\n42960 64429\n48207 72235\n75461 100000\n55224 82815\n99851 100000\n72105 100000\n28903 43353\n28482 42721\n39104 58615\n12262 18408\n67553 100000\n30881 46345\n77507 100000\n47245 70816\n19824 29805\n14916 22439\n77173 100000\n69832 100000\n39874 59787\n11422 17142\n90379 100000\n32505 48768\n57140 85691\n67873 100000\n17039 25599\n45393 68085\n54534 81753\n58802 88198\n23026 34550\n79518 100000\n50916 76334\n28851 43277\n96280 100000\n75547 100000\n90484 100000\n63 96\n54500 81701\n27795 41685\n97949 100000\n2603 3925\n60963 91459\n4462 6716\n4656 7009\n97472 100000\n23038 34571\n8870 13308\n93391 100000\n66647 99979\n62542 93830\n80234 100000\n86734 100000\n96 150\n53867 80733\n31391 47101\n19517 29346\n67192 100000\n51766 77580\n79317 100000\n11596 17404\n55607 83399\n28587 42872\n1643 2479\n56775 85145\n48202 72227\n38212 57301\n70843 100000\n3363 5077\n10903 16355\n69120 100000\n46290 69400\n34137 51187\n60032 90072\n85900 100000\n57307 85951\n87378 100000\n66210 99333\n93773 100000\n93398 100000\n5766 8662\n88567 100000\n3231 4877\n2447 3683\n10573 15857\n73317 100000\n98148 100000\n60608 90917\n10590 15885\n94107 100000\n87841 100000\n91149 100000\n36551 54802\n64777 97153\n78292 100000\n32870 49300\n82060 100000\n69171 100000\n64874 97297\n62573 93872\n33766 50634\n41508 62260\n84787 100000\n40562 60826\n35195 52784\n97512 100000\n32007 48025\n2329 3504\n58546 87816\n22528 33812\n74869 100000\n81510 100000\n85698 100000\n65770 98664\n6449 9710\n40485 60713\n18180 27314\n42963 64434\n40603 60889\n33032 49540\n96440 100000\n78920 100000\n44592 66876\n28975 43464\n4579 6895\n51752 77557\n85514 100000\n85113 100000\n84564 100000\n13569 20387\n35141 52704\n4525 6808\n98837 100000\n45782 68654\n80939 100000\n36037 54027\n4499 6768\n94562 100000\n87511 100000\n34228 51322\n26548 39827\n45699 68538\n16945 25467\n13243 19890\n78206 100000\n80890 100000\n3657 5508\n23290 34952\n43937 65899\n5533 8314\n88073 100000\n702 1072\n78195 100000\n4323 6508\n60059 90111\n87565 100000\n11162 16750\n62871 94322\n91250 100000\n61230 91850\n44881 67312\n38491 57724\n1307 1980\n99234 100000\n69499 100000\n69412 100000\n1391 2103\n360 555\n65189 97774\n64913 97359\n29255 43876\n33099 49640\n4532 6819\n79838 100000\n62352 93546\n25850 38784\n24077 36129\n83461 100000\n60489 90746\n57976 86947\n63239 94856\n60677 91022\n45686 68518\n35814 53696\n2362 3551\n7795 11710\n72634 100000\n70606 100000\n17778 26713\n6237 9392\n81079 100000\n41788 62687\n43193 64782\n8618 12930\n41174 61754\n51166 76705\n58008 86996\n75541 100000\n6327 9531\n8859 13294\n17088 25674\n46788 70134\n20195 30360\n93693 100000\n88692 100000\n99731 100000\n41877 62827\n53500 80188\n9110 13655\n73676 100000\n82217 100000\n72707 100000\n5940 8928\n90318 100000\n49983 74926\n73111 100000\n58466 87704\n51255 76836\n32760 49139\n81412 100000\n52139 78141\n1692 2548\n52215 78256\n34209 51293\n83091 100000\n36808 55205\n12128 18204\n8440 12667\n81101 100000\n83125 100000\n87425 100000\n6230 9381\n15507 23333\n31295 46959\n77365 100000\n84440 100000\n28623 42927\n12720 19087\n16289 24489\n54491 81690\n97911 100000\n88647 100000\n31286 46945\n83919 100000\n94203 100000\n74602 100000\n57261 85880\n42267 63399\n69682 100000\n85036 100000\n9933 14914\n840 1278\n86903 100000\n78579 100000\n79819 100000\n95977 100000\n60337 90522\n39283 58894\n67797 100000\n82441 100000\n51153 76687\n86031 100000\n24641 36967\n98469 100000\n76449 100000\n69162 100000\n56709 85051\n4773 7189\n28871 43306\n29392 44089\n25055 37597\n38805 58186\n48567 72790\n27819 41721\n3018 4556\n57833 86732\n85846 100000\n32163 48255\n62813 94236\n2971 4486\n92770 100000\n49705 74509\n63548 95300\n26279 39426\n40136 60182\n96615 100000\n33162 49731\n28177 42254\n73562 100000\n64792 97177\n38239 57343\n13270 19925\n46145 69196\n51254 76835\n85025 100000\n60399 90615\n82823 100000\n91521 100000\n74858 100000\n32010 48029\n24353 36549\n46715 70024\n61120 91688\n32627 48939\n88451 100000\n22506 33782\n77088 100000\n67123 100000\n53552 80263\n69441 100000\n1681 2532\n97906 100000\n29485 44220\n84936 100000\n30156 45226\n52128 78126\n3780 5697\n782 1189\n73457 100000\n67736 100000\n15021 22596\n31348 47040\n89800 100000\n67314 100000\n34512 51759\n30914 46395\n23692 35545\n67679 100000\n53516 80214\n35098 52638\n47061 70543\n87402 100000\n91616 100000\n27235 40829\n44178 66260\n54581 81818\n87970 100000\n83742 100000\n97423 100000\n64208 96301\n1434 2171\n30970 46487\n49195 73733\n82039 100000\n52696 78974\n11362 17051\n56065 84081\n6892 10360\n94113 100000\n28037 42049\n8684 13031\n77059 100000\n35773 53630\n94679 100000\n98471 100000\n57016 85513\n18948 28496\n98366 100000\n43817 65720\n18055 27126\n99381 100000\n98901 100000\n38836 58229\n77056 100000\n18405 27651\n47633 71386\n59835 89775\n20931 31465\n53189 79723\n43565 65351\n57832 86731\n63792 95659\n46648 69926\n9517 14277\n87435 100000\n50615 75876\n79333 100000\n65014 97509\n21870 32857\n17532 26345\n87202 100000\n47921 71810\n45685 68517\n95000 100000\n8006 12018\n23910 35879\n84734 100000\n42063 63094\n87783 100000\n65545 98320\n99922 100000\n14902 22415\n81480 100000\n71218 100000\n65090 97631\n63021 94542\n31051 46604\n74588 100000\n12983 19489\n20386 30646\n31068 46630\n42333 63497\n63323 94973\n7867 11818\n4922 7403\n77505 100000\n6180 9304\n83663 100000\n26278 39425\n21504 32322\n24162 36259\n92764 100000\n57437 86152\n30725 46105\n22447 33692\n75777 100000\n15388 23154\n98625 100000\n92117 100000\n90491 100000\n87542 100000\n94305 100000\n42828 64235\n95831 100000\n55803 83693\n9298 13950\n54229 81275\n84081 100000\n70994 100000\n57936 86886\n38456 57669\n73933 100000\n72044 100000\n76599 100000\n51624 77365\n87680 100000\n18603 27958\n57941 86894\n18133 27240\n48374 72491\n3225 4868\n17578 26413\n29772 44642\n2284 3435\n36691 55015\n46264 69364\n85998 100000\n43843 65757\n37370 56031\n95658 100000\n97499 100000\n59207 88805\n27889 41830\n1769 2664\n30043 45049\n89246 100000\n8563 12848\n16962 25490\n49106 73604\n33454 50163\n79471 100000\n20696 31103\n12763 19152\n36743 55102\n12108 18172\n77633 100000\n56098 84134\n300 461\n72114 100000\n48096 72070\n59632 89463\n66332 99514\n67743 100000\n93085 100000\n85347 100000\n87799 100000\n99184 100000\n63502 95236\n78572 100000\n6741 10137\n51082 76578\n55951 83909\n35295 52925\n7391 11109\n26784 40169\n65720 98585\n43305 64957\n53615 80359\n11401 17113\n18629 27996\n24297 36463\n83429 100000\n71250 100000\n53249 79815\n99232 100000\n48630 72890\n2085 3128\n30147 45211\n53353 79977\n38663 57976\n56204 84291\n10552 15828\n91898 100000\n25725 38589\n14962 22506\n57883 86804\n38036 57039\n68327 100000\n31025 46568\n8099 12160\n56293 84429\n23465 35209\n7682 11544\n74132 100000\n52086 78067\n86230 100000\n26582 39877\n65151 97719\n66943 100000\n52360 78473\n32400 48610\n30514 45778\n52737 79037\n57358 86032\n68621 100000\n94356 100000\n25939 38918\n13835 20797\n13118 19698\n35701 53525\n74219 100000\n84947 100000\n95352 100000\n44195 66283\n8505 12760\n31096 46669\n44848 67258\n31876 47825\n26700 40046\n7987 11995\n71647 100000\n32103 48170\n96727 100000\n53341 79961\n2757 4158\n41191 61779\n20480 30779\n70199 100000\n40480 60705\n42455 63678\n82107 100000\n32192 48296\n28630 42939\n7878 11833\n21181 31835\n3993 6000\n36255 54355\n73132 100000\n53653 80413\n308 473\n40282 60402\n28995 43492\n55857 83766\n18519 27827\n8900 13354\n66725 100000\n42235 63359\n34486 51720\n13838 20801\n20312 30534\n9636 14457\n20500 30810\n49002 73446\n15310 23037\n57157 85717\n25889 38842\n61115 91681\n86016 100000\n55859 83768\n70947 100000\n62384 93595\n97216 100000\n49262 73830\n94799 100000\n59805 89732\n71655 100000\n84065 100000\n17861 26835\n29515 44267\n21014 31594\n73046 100000\n29965 44936\n99992 100000\n41606 62404\n55272 82887\n2518 3794\n63920 95859\n67364 100000\n81432 100000\n29354 44036\n80031 100000\n94674 100000\n65533 98301\n26481 39725\n23541 35320\n34219 51311\n84953 100000\n4789 7210\n52947 79355\n14436 21702\n48904 73304\n8321 12491\n74580 100000\n42946 64409\n15382 23145\n21008 31585\n99571 100000\n54656 81936\n52782 79105\n91426 100000\n30471 45710\n34790 52178\n36854 55264\n90750 100000\n53055 79519\n66849 100000\n22142 33254\n24836 37267\n4091 6154\n55625 83424\n96950 100000\n73909 100000\n64852 97261\n79216 100000\n87894 100000\n61533 92298\n72863 100000\n69612 100000\n40146 60197\n20709 31126\n29694 44525\n9222 13831\n56001 83986\n1983 2980\n85467 100000\n72865 100000\n96666 100000\n79372 100000\n72858 100000\n72765 100000\n66517 99792\n96291 100000\n73603 100000\n17954 26975\n15273 22985\n860 1308\n3245 4895\n66745 100000\n51024 76493\n67268 100000\n71541 100000\n79252 100000\n24453 36697\n13920 20929\n60713 91075\n43114 64665\n40264 60378\n74446 100000\n34542 51805\n83090 100000\n27384 41055\n516 793\n91499 100000\n9396 14095\n22656 34012\n86975 100000\n84941 100000\n89845 100000\n57664 86489\n44037 66049\n83102 100000\n96278 100000\n21211 31880\n65748 98631\n78176 100000\n93249 100000\n40442 60641\n62443 93680\n38488 57718\n77366 100000\n64210 96305\n62654 93995\n3282 4953\n73876 100000\n79673 100000\n53534 80238\n34768 52147\n24545 36826\n23022 34542\n98748 100000\n34048 51053\n45534 68295\n33432 50132\n8596 12896\n65620 98437\n38045 57052\n37044 55545\n20100 30214\n34224 51317\n59631 89462\n84342 100000\n32251 48390\n9434 14149\n51264 76851\n3861 5811\n41296 61944\n13363 20069\n45942 68887\n29379 44072\n27804 41702\n97966 100000\n28467 42696\n60392 90606\n25174 37779\n93318 100000\n98462 100000\n75960 100000\n22263 33421\n71212 100000\n44918 67366\n23289 34951\n75008 100000\n57894 86822\n18487 27778\n78278 100000\n39889 59807\n64723 97075\n84659 100000\n95757 100000\n36279 54396\n31093 46666\n92672 100000\n98511 100000\n24865 37308\n93741 100000\n9066 13592\n37026 55520\n56354 84519\n48649 72917\n78379 100000\n40502 60735\n98191 100000\n75854 100000\n59255 88880\n419 642\n51418 77072\n7378 11090\n1465 2218\n69320 100000\n96545 100000\n44213 66308\n98432 100000\n60737 91111\n88049 100000\n41646 62466\n41834 62759\n36670 54987\n29606 44393\n54017 80960\n76398 100000\n44955 67417\n32512 48776\n91125 100000\n54529 81745\n10441 15671\n38852 58254\n39520 59256\n44482 66708\n14931 22462\n36949 55401\n93887 100000\n30524 45796\n47978 71900\n67774 100000\n16058 24144\n64438 96642\n92814 100000\n10576 15862\n52704 78986\n40759 61125\n4777 7196\n30125 45177\n74463 100000\n70352 100000\n44791 67175\n48895 73289\n6356 9577\n12407 18618\n35340 52991\n78097 100000\n46867 70248\n84575 100000\n66284 99447\n24057 36101\n1384 2095\n23017 34534\n36838 55243\n21592 32449\n91451 100000\n29121 43672\n61325 91996\n1857 2795\n64089 96116\n28425 42630\n49268 73838\n52757 79067\n84022 100000\n59729 89617\n98240 100000\n15730 23663\n3153 4756\n32153 48241\n69230 100000\n40004 59981\n94194 100000\n69584 100000\n70941 100000\n18142 27253\n68619 100000\n87172 100000\n53823 80668\n55727 83577\n85977 100000\n22275 33438\n64233 96340\n55907 83842\n51518 77208\n48219 72255\n11761 17653\n91790 100000\n40601 60886\n55579 83353\n20882 31391\n26133 39207\n98952 100000\n3943 5935\n7759 11659\n30762 46164\n85736 100000\n56923 85370\n23320 34994\n14588 21933\n16032 24107\n98467 100000\n23286 34946\n26787 40174\n92169 100000\n13371 20080\n13799 20741\n29235 43842\n37648 56454\n37429 56119\n32849 49269\n21120 31745\n27119 40656\n75142 100000\n35331 52978\n28952 43431\n60820 91239\n90654 100000\n59986 90005\n94150 100000\n31920 47889\n45779 68650\n92810 100000\n3797 5722\n20190 30351\n94059 100000\n9832 14752\n57751 86613\n48626 72885\n16035 24111\n15445 23243\n77171 100000\n81619 100000\n41584 62373\n39049 58537\n58425 87640\n3867 5819\n31194 46819\n77664 100000\n54905 82318\n5086 7652\n78282 100000\n5820 8749\n86683 100000\n70240 100000\n35852 53752\n72511 100000\n10773 16156\n33297 49929\n91551 100000\n62716 94087\n86027 100000\n24552 36837\n54832 82210\n53688 80462\n2836 4281\n63633 95429\n90576 100000\n28499 42746\n22661 34018\n11544 17328\n96094 100000\n31670 47521\n6559 9864\n73502 100000\n75509 100000\n94789 100000\n5754 8645\n79077 100000\n29309 43961\n99163 100000\n26518 39781\n53013 79452\n76357 100000\n44761 67131\n80298 100000\n6839 10282\n14169 21305\n41412 62116\n30753 46148\n20094 30205\n97634 100000\n17576 26411\n18018 27070\n78783 100000\n76662 100000\n54411 81565\n20714 31134\n84280 100000\n35990 53955\n31390 47099\n65406 98112\n68014 100000\n90682 100000\n95897 100000\n46282 69390\n81067 100000\n81922 100000\n39273 58880\n9844 14771\n21215 31885\n68791 100000\n30635 45971\n19208 28876\n22239 33389\n83268 100000\n49799 74660\n22442 33684\n43298 64949\n8872 13312\n94575 100000\n71264 100000\n88072 100000\n11336 17017\n29269 43898\n12031 18059\n97724 100000\n61181 91781\n66696 100000\n52164 78179\n79055 100000\n19015 28593\n51104 76613\n24989 37497\n98976 100000\n46860 70236\n44748 67112\n39467 59171\n46806 70158\n78996 100000\n72983 100000\n59723 89606\n37483 56202\n79500 100000\n13368 20075\n3077 4644\n29173 43750\n90904 100000\n39788 59659\n90898 100000\n54963 82404\n65966 98963\n83114 100000\n37626 56423\n43408 65114\n55118 82655\n93983 100000\n90206 100000\n60971 91469\n76782 100000\n5230 7865\n45033 67537\n48683 72967\n91202 100000\n55594 83376\n45247 67865\n31027 46571\n18013 27062\n94625 100000\n56821 85217\n2635 3970\n84187 100000\n25265 37915\n64699 97041\n51927 77823\n40568 60837\n86129 100000\n36651 54959\n81987 100000\n47036 70506\n50808 76170\n865 1315\n96980 100000\n9710 14568\n21332 32066\n29576 44347\n8016 12033\n22982 34485\n67047 100000\n9654 14483\n44105 66146\n68848 100000\n59582 89383\n88353 100000\n26103 39166\n84173 100000\n74901 100000\n28906 43357\n66867 100000\n70920 100000\n23860 35801\n96562 100000\n36957 55413\n93601 100000\n95380 100000\n47274 70864\n18585 27930\n71013 100000\n7382 11097\n54038 80991\n644 984\n60296 90457\n80047 100000\n97769 100000\n13182 19798\n3438 5189\n18365 27590\n27051 40551\n52581 78801\n47471 71143\n9774 14668\n15916 23932\n17962 26985\n32489 48743\n35542 53292\n47551 71261\n68274 100000\n6059 9116\n23333 35015\n82513 100000\n89007 100000\n54138 81144\n80457 100000\n25797 38705\n35165 52743\n11935 17913\n15996 24052\n23337 35022\n80064 100000\n60719 91082\n62749 94138\n24798 37208\n22109 33205\n34226 51320\n4794 7217\n1514 2292\n69099 100000\n34831 52240\n2681 4038\n41311 61970\n5765 8660\n15464 23271\n46703 70005\n72915 100000\n62421 93650\n56988 85468\n96354 100000\n96825 100000\n19665 29565\n56688 85021\n14249 21423\n85034 100000\n89048 100000\n32497 48757\n76263 100000\n37347 55995\n29797 44681\n25950 38933\n83846 100000\n46202 69272\n78504 100000\n27308 40939\n24372 36578\n32698 49051\n32199 48307\n19981 30040\n57923 86866\n45667 68491\n56156 84220\n94722 100000\n9184 13769\n32379 48577\n79566 100000\n72578 100000\n90578 100000\n30444 45671\n13129 19713\n94336 100000\n58525 87787\n89254 100000\n8750 13128\n55015 82493\n55542 83297\n10939 16408\n69615 100000\n88080 100000\n84840 100000\n61536 92303\n23508 35274\n88549 100000\n97699 100000\n9445 14165\n67765 100000\n25248 37889\n34454 51671\n8323 12494\n12748 19132\n15873 23867\n22727 34109\n89705 100000\n75272 100000\n55706 83547\n86742 100000\n53842 80698\n91811 100000\n59545 89325\n15265 22971\n82202 100000\n11411 17125\n76133 100000\n93425 100000\n89597 100000\n16209 24371\n44575 66849\n15163 22816\n86948 100000\n34919 52377\n45657 68476\n89452 100000\n39367 59024\n73921 100000\n62398 93615\n5413 8134\n96846 100000\n39390 59057\n93552 100000\n84798 100000\n59505 89267\n1357 2056\n53466 80141\n59793 89712\n56126 84172\n13439 20191\n56897 85326\n41258 61885\n93277 100000\n13486 20259\n43411 65119\n72453 100000\n48109 72092\n95756 100000\n90293 100000\n48182 72202\n18786 28248\n92186 100000\n79529 100000\n41345 62015\n75847 100000\n22717 34095\n47937 71836\n48410 72543\n89282 100000\n98951 100000\n8961 13442\n57711 86556\n37530 56267\n44224 66327\n29231 43836\n22088 33173\n2342 3524\n22840 34273\n38810 58191\n49621 74376\n80444 100000\n16789 25237\n76987 100000\n85013 100000\n5505 8272\n47333 70952\n84296 100000\n55445 83145\n52255 78312\n11138 16716\n38958 58403\n21637 32509\n80914 100000\n48223 72261\n88874 100000\n66196 99310\n38789 58166\n88384 100000\n74534 100000\n79376 100000\n20340 30578\n93705 100000\n56088 84119\n78794 100000\n29560 44326\n30707 46079\n20278 30484\n49993 74939\n26446 39675\n79056 100000\n56484 84720\n93365 100000\n64691 97029\n90757 100000\n5841 8781\n46742 70067\n39957 59908\n53453 80121\n91414 100000\n2051 3083\n11334 17014\n56848 85258\n99180 100000\n47705 71493\n1644 2481\n66860 100000\n80866 100000\n4284 6448\n33702 50535\n64776 97151\n34093 51118\n7952 11946\n24652 36985\n51684 77455\n39775 59640\n21895 32890\n14170 21306\n58359 87543\n79081 100000\n116 180\n80104 100000\n97637 100000\n28193 42277\n4628 6969\n2948 4450\n31795 47705\n56518 84770\n21892 32885\n38913 58342\n4558 6860\n42766 64140\n99465 100000\n84057 100000\n30258 45377\n39426 59112\n10009 15023\n82124 100000\n94891 100000\n81286 100000\n48956 73378\n46732 70050\n75841 100000\n23057 34603\n61889 92844\n17478 26266\n91868 100000\n24876 37326\n50859 76247\n98947 100000\n42001 63001\n69390 100000\n96943 100000\n92585 100000\n22623 33958\n17723 26626\n73598 100000\n27120 40657\n11064 16606\n21573 32423\n88030 100000\n33226 49825\n17093 25681\n387 593\n6145 9246\n43981 65965\n67378 100000\n24955 37445\n98058 100000\n48674 72952\n82473 100000\n49004 73448\n20973 31529\n47444 71106\n27506 41249\n27699 41532\n35024 52532\n58491 87737\n22501 33775\n58648 87964\n63850 95749\n92094 100000\n5281 7939\n80048 100000\n18088 27176\n72814 100000\n14136 21259\n17242 25916\n16015 24081\n11237 16859\n13245 19892\n72357 100000\n81817 100000\n47879 71745\n98800 100000\n68057 100000\n3871 5825\n45201 67793\n2743 4136\n16413 24678\n80330 100000\n29312 43966\n6791 10210\n9294 13943\n73407 100000\n37090 55613\n90885 100000\n38381 57554\n63997 95971\n14890 22398\n79010 100000\n5165 7767\n76562 100000\n36735 55090\n25661 38489\n70372 100000\n97403 100000\n4874 7330\n81384 100000\n59305 88953\n52461 78624\n5468 8218\n14696 22109\n70794 100000\n52112 78104\n51536 77236\n66575 99871\n78874 100000\n17889 26875\n39739 59585\n26098 39159\n76329 100000\n96023 100000\n98449 100000\n46768 70104\n14483 21776\n5163 7765\n18793 28260\n21221 31895\n59830 89769\n89644 100000\n45235 67847\n4170 6277\n84119 100000\n85193 100000\n39639 59439\n8561 12844\n50084 75070\n21963 32988\n84746 100000\n17018 25569\n22495 33767\n93145 100000\n56177 84249\n92318 100000\n42746 64113\n49933 74852\n96698 100000\n74009 100000\n20786 31244\n34008 50994\n51889 77766\n14477 21768\n26179 39277\n67786 100000\n69925 100000\n10243 15376\n4209 6336\n3466 5228\n31100 46675\n39522 59259\n84538 100000\n82312 100000\n18977 28537\n28990 43485\n89293 100000\n55503 83239\n24423 36653\n52203 78236\n13209 19842\n58448 87679\n78085 100000\n4790 7212\n46462 69652\n1887 2841\n52160 78171\n71845 100000\n85729 100000\n49235 73793\n95281 100000\n57568 86342\n95302 100000\n46704 70007\n64358 96524\n23914 35884\n11361 17050\n4890 7353\n13346 20044\n30365 45539\n92133 100000\n37690 56516\n8373 12572\n17643 26506\n21817 32780\n41561 62341\n39232 58815\n7108 10687\n65098 97641\n97980 100000\n71347 100000\n50460 75648\n35754 53602\n17907 26904\n94737 100000\n52510 78695\n60957 91450\n4457 6709\n86506 100000\n77619 100000\n78501 100000\n63573 95335\n28678 43014\n52155 78164\n22333 33523\n89399 100000\n35299 52931\n91812 100000\n46899 70296\n30037 45041\n88018 100000\n28576 42856\n41535 62300\n55308 82943\n37211 55793\n90022 100000\n84881 100000\n97748 100000\n268 412\n66144 99236\n29180 43758\n49494 74181\n96623 100000\n85479 100000\n6952 10450\n65577 98368\n83148 100000\n89798 100000\n72446 100000\n67773 100000\n77977 100000\n81878 100000\n10046 15077\n30486 45733\n40295 60420\n33140 49698\n92050 100000\n59375 89058\n49198 73738\n96981 100000\n15802 23766\n16570 24916\n37592 56367\n25655 38481\n98425 100000\n26493 39743\n45282 67920\n77190 100000\n80374 100000\n41107 61649\n32030 48059\n81362 100000\n93722 100000\n82038 100000\n24098 36166\n88133 100000\n33028 49533\n6890 10357\n31387 47094\n40805 61200\n8693 13044\n69148 100000\n20899 31417\n2397 3601\n4720 7105\n15393 23162\n4276 6436\n33763 50629\n34694 52034\n72553 100000\n25157 37755\n86319 100000\n41790 62690\n23705 35567\n47286 70882\n11888 17846\n37129 55669\n58288 87430\n97192 100000\n66648 99980\n32543 48819\n55122 82662\n99090 100000\n10128 15203\n29378 44070\n2434 3663\n88600 100000\n40929 61383\n47376 71015\n24680 37026\n30671 46023\n72161 100000\n24548 36831\n26102 39165\n58810 88209\n50964 76401\n63193 94789\n22954 34444\n38535 57790\n2017 3032\n96986 100000\n43052 64565\n55961 83926\n22148 33261\n8837 13261\n73359 100000\n60585 90886\n5995 9011\n97970 100000\n32710 49068\n16371 24613\n28161 42229\n11293 16950\n80761 100000\n19631 29515\n76632 100000\n16379 24626\n80578 100000\n72370 100000\n48620 72873\n34737 52098\n55685 83515\n96674 100000\n37268 55883\n77783 100000\n30861 46313\n29030 43544\n3173 4788\n88247 100000\n31540 47322\n26094 39152\n87090 100000\n97109 100000\n48156 72163\n63477 95198\n12638 18963\n6837 10278\n4232 6370\n46184 69250\n95039 100000\n59506 89269\n83301 100000\n2425 3647\n74091 100000\n70717 100000\n50864 76256\n42302 63449\n36144 54185\n91335 100000\n60369 90570\n21989 33027\n25134 37720\n42576 63858\n91347 100000\n15824 23796\n97644 100000\n37164 55721\n86457 100000\n11777 17679\n23966 35969\n67118 100000\n53217 79767\n41481 62220\n72216 100000\n74216 100000\n30616 45939\n82239 100000\n86212 100000\n67035 100000\n33485 50212\n58963 88441\n44329 66483\n55279 82896\n85346 100000\n15220 22896\n50970 76411\n74572 100000\n42354 63527\n59689 89552\n64439 96644\n36557 54809\n45554 68326\n81911 100000\n16404 24662\n89655 100000\n72571 100000\n95961 100000\n28111 42157\n88499 100000\n66420 99646\n72421 100000\n20254 30448\n62953 94438\n55664 83482\n68302 100000\n90989 100000\n66100 99167\n84605 100000\n87219 100000\n74797 100000\n91328 100000\n98571 100000\n61049 91585\n40942 61402\n23588 35394\n67634 100000\n39403 59074\n31190 46813\n23313 34987\n56914 85353\n17040 25600\n84188 100000\n79913 100000\n74992 100000\n13991 21032\n87981 100000\n11967 17961\n55366 83027\n86039 100000\n86199 100000\n32610 48912\n64950 97420\n3059 4615\n52902 79286\n68884 100000\n62322 93496\n79032 100000\n96043 100000\n8790 13187\n77563 100000\n70044 100000\n75348 100000\n61301 91959\n84357 100000\n35059 52580\n50935 76359\n39970 59929\n76786 100000\n36781 55164\n96227 100000\n45157 67725\n18959 28510\n14988 22547\n21984 33020\n17828 26790\n41316 61976\n1338 2028\n14174 21313\n3255 4908\n56343 84503\n67058 100000\n8835 13257\n74737 100000\n34154 51214\n92352 100000\n13367 20074\n71649 100000\n49849 74734\n18441 27702\n66454 99700\n2054 3088\n36684 55005\n67976 100000\n4015 6031\n2075 3116\n50780 76128\n29388 44083\n34911 52366\n35865 53773\n52543 78744\n33008 49504\n85939 100000\n35676 53488\n51395 77041\n5792 8704\n26566 39855\n26449 39680\n68958 100000\n49806 74670\n23510 35278\n52988 79413\n79475 100000\n72004 100000\n43128 64685\n20108 30228\n38773 58141\n12734 19109\n15475 23288\n38349 57506\n86799 100000\n65377 98069\n54391 81535\n65704 98562\n31762 47659\n61893 92851\n25389 38093\n7123 10712\n72455 100000\n89817 100000\n43958 65932\n32088 48149\n16079 24175\n11202 16809\n19041 28630\n64379 96554\n19599 29469\n60819 91238\n63302 94944\n58324 87485\n70527 100000\n3114 4697\n67700 100000\n52609 78846\n55873 83790\n30323 45472\n94415 100000\n31622 47447\n89425 100000\n60334 90517\n16264 24453\n97989 100000\n77389 100000\n5343 8036\n52747 79053\n53992 80924\n36157 54203\n90661 100000\n4741 7136\n54104 81090\n96536 100000\n10318 15490\n26916 40356\n14202 21355\n43412 65120\n20679 31078\n53122 79615\n30111 45153\n46916 70320\n24918 37387\n82764 100000\n17809 26761\n95584 100000\n2508 3779\n43454 65189\n39395 59063\n986 1495\n62140 93209\n53941 80850\n28918 43378\n53788 80611\n60557 90844\n24413 36638\n71761 100000\n51118 76636\n89967 100000\n42938 64396\n89489 100000\n79263 100000\n96991 100000\n21524 32351\n73182 100000\n80863 100000\n77814 100000\n87214 100000\n67727 100000\n48479 72653\n54408 81560\n48767 73092\n49092 73580\n77439 100000\n5121 7704\n1025 1549\n99622 100000\n33259 49875\n11277 16923\n85976 100000\n63584 95354\n82947 100000\n80139 100000\n34021 51013\n2088 3133\n9830 14749\n71036 100000\n89316 100000\n86968 100000\n23888 35844\n71393 100000\n75432 100000\n39971 59931\n74335 100000\n27571 41342\n31101 46677\n8932 13399\n73429 100000\n61386 92089\n72175 100000\n10334 15509\n64009 95993\n64735 97092\n83042 100000\n19515 29344\n68608 100000\n55167 82730\n76115 100000\n14130 21248\n16246 24427\n32572 48860\n96870 100000\n94629 100000\n71653 100000\n30682 46041\n71567 100000\n60 92\n97657 100000\n15714 23637\n34588 51876\n66044 99082\n14903 22416\n74965 100000\n52520 78711\n51851 77708\n15667 23570\n63841 95735\n55290 82915\n53844 80701\n70524 100000\n97952 100000\n65757 98642\n38459 57673\n23811 35725\n45669 68494\n74155 100000\n53317 79925\n92899 100000\n4355 6558\n31318 46995\n21765 32697\n47931 71826\n38695 58026\n20422 30694\n10716 16071\n77226 100000\n85397 100000\n67256 100000\n96318 100000\n51665 77424\n65357 98039\n71020 100000\n2967 4480\n20237 30424\n23413 35137\n39981 59944\n73948 100000\n27545 41307\n14100 21204\n85538 100000\n12179 18283\n54593 81839\n8926 13393\n86788 100000\n54264 81329\n95475 100000\n43541 65316\n15955 23988\n91929 100000\n61114 91680\n52984 79405\n81120 100000\n24002 36022\n63592 95367\n62998 94507\n22652 34005\n88894 100000\n35721 53553\n5794 8707\n53722 80516\n52393 78520\n61528 92291\n44017 66020\n82051 100000\n81404 100000\n96363 100000\n59970 89983\n44749 67114\n7557 11359\n75275 100000\n42482 63719\n34027 51022\n3015 4551\n92875 100000\n57067 85585\n33944 50901\n58679 88009\n13493 20272\n28010 42007\n49365 73986\n51390 77034\n99297 100000\n73680 100000\n69509 100000\n23197 34812\n8433 12657\n90319 100000\n33105 49647\n38457 57670\n60350 90540\n30001 44987\n24750 37133\n85657 100000\n80277 100000\n91610 100000\n86654 100000\n57183 85757\n4924 7406\n43499 65252\n14081 21176\n2767 4172\n42848 64264\n75081 100000\n69622 100000\n92190 100000\n10141 15221\n34566 51840\n19694 29609\n16034 24110\n66475 99732\n70822 100000\n77329 100000\n40108 60138\n79065 100000\n72129 100000\n46676 69969\n53806 80639\n18908 28433\n3345 5049\n63989 95957\n27560 41325\n2018 3034\n83983 100000\n62238 93366\n11781 17686\n50981 76427\n94836 100000\n3718 5600\n19280 28979\n20914 31442\n37275 55894\n40742 61100\n64055 96068\n22681 34046\n3228 4873\n26898 40331\n28554 42824\n70392 100000\n96563 100000\n10359 15547\n52868 79239\n54341 81449\n37737 56585\n90458 100000\n83416 100000\n94994 100000\n16412 24676\n73792 100000\n33287 49912\n57211 85801\n74057 100000\n92210 100000\n98945 100000\n26469 39710\n477 730\n72928 100000\n36380 54551\n18494 27787\n65529 98296\n96884 100000\n69804 100000\n45716 68561\n34621 51923\n12557 18840\n56856 85268\n10962 16443\n48681 72964\n81035 100000\n60548 90831\n29839 44745\n12585 18883\n53593 80321\n52827 79173\n15627 23515\n92741 100000\n58783 88168\n85388 100000\n98946 100000\n81779 100000\n23427 35156\n32516 48782\n46694 69992\n9285 13930\n74431 100000\n88309 100000\n79458 100000\n11041 16568\n82329 100000\n80162 100000\n52611 78850\n80404 100000\n54537 81758\n25598 38396\n47672 71447\n52514 78702\n87652 100000\n33682 50506\n22686 34053\n34379 51557\n97128 100000\n80970 100000\n2091 3137\n44315 66462\n89352 100000\n17609 26457\n71568 100000\n53604 80341\n83946 100000\n76142 100000\n44422 66624\n71073 100000\n95483 100000\n95040 100000\n50721 76039\n8742 13116\n94756 100000\n64627 96930\n10249 15387\n38446 57654\n65165 97738\n73779 100000\n13699 20593\n48851 73221\n1401 2118\n40650 60960\n56351 84515\n37551 56300\n64830 97230\n73284 100000\n68051 100000\n69443 100000\n53358 79983\n1666 2514\n18920 28452\n74362 100000\n97723 100000\n91002 100000\n32081 48138\n85376 100000\n82157 100000\n1388 2100\n2849 4300\n4295 6466\n50785 76136\n19160 28808\n92812 100000\n18483 27771\n83165 100000\n48274 72340\n5110 7686\n40741 61098\n74079 100000\n78660 100000\n34741 52106\n54129 81131\n21809 32766\n9013 13515\n51379 77017\n42293 63439\n37437 56132\n58707 88052\n61051 91588\n50097 75089\n49487 74171\n36939 55388\n22017 33068\n7534 11323\n23355 35049\n61701 92550\n88865 100000\n60855 91291\n74536 100000\n83725 100000\n57315 85964\n99203 100000\n74283 100000\n3094 4666\n5953 8949\n43799 65693\n82718 100000\n79228 100000\n22908 34374\n71201 100000\n3745 5643\n66122 99204\n27838 41753\n53191 79726\n74085 100000\n88064 100000\n79411 100000\n73315 100000\n24571 36864\n60164 90266\n2949 4452\n34965 52443\n79465 100000\n62079 93122\n14737 22174\n83889 100000\n52826 79171\n76831 100000\n77676 100000\n90840 100000\n8478 12722\n66567 99860\n77957 100000\n26059 39100\n85749 100000\n51832 77681\n64043 96047\n13151 19750\n5400 8115\n70892 100000\n225 345\n81460 100000\n84426 100000\n78716 100000\n76488 100000\n56631 84938\n94546 100000\n69169 100000\n35097 52636\n16030 24103\n22494 33766\n28945 43421\n56106 84143\n56466 84693\n54490 81688\n19390 29155\n37882 56801\n57388 86081\n22200 33340\n27555 41318\n28650 42970\n43861 65780\n58905 88351\n61918 92886\n24917 37386\n98302 100000\n87619 100000\n11355 17043\n61983 92987\n39415 59094\n94611 100000\n312 477\n38130 57174\n27251 40855\n24363 36563\n14673 22070\n61721 92579\n40248 60351\n93838 100000\n53564 80282\n4350 6549\n29083 43615\n32943 49411\n24500 36761\n37566 56325\n32483 48734\n54446 81622\n66503 99772\n46936 70353\n40395 60573\n66520 99797\n56762 85126\n29889 44821\n15403 23178\n25855 38791\n19229 28907\n62039 93066\n73958 100000\n16493 24803\n51943 77847\n94810 100000\n12841 19270\n79573 100000\n77 121\n30446 45673\n19742 29684\n92209 100000\n38232 57332\n45427 68132\n35924 53860\n79613 100000\n25251 37894\n83380 100000\n60769 91162\n5104 7679\n99816 100000\n85469 100000\n71894 100000\n60384 90592\n4298 6469\n54244 81296\n7183 10804\n1981 2977\n99453 100000\n92856 100000\n44336 66493\n6968 10475\n2504 3775\n23418 35144\n31255 46902\n59518 89287\n4877 7335\n25394 38101\n78756 100000\n71372 100000\n7771 11675\n27210 40788\n97788 100000\n42076 63109\n63627 95421\n63750 95594\n95091 100000\n94460 100000\n32462 48700\n91708 100000\n44729 67083\n36804 55198\n81364 100000\n38532 57786\n61505 92260\n45853 68760\n30014 45005\n55856 83765\n62451 93694\n50027 74989\n20543 30865\n76223 100000\n34968 52447\n63175 94764\n89632 100000\n85130 100000\n81117 100000\n76160 100000\n34516 51765\n33996 50977\n56367 84540\n14326 21540\n58627 87933\n84860 100000\n73730 100000\n37313 55947\n92062 100000\n32368 48563\n68819 100000\n65381 98075\n63605 95388\n23666 35506\n67335 100000\n37212 55794\n79041 100000\n56420 84623\n28500 42747\n60552 90836\n87906 100000\n88770 100000\n84061 100000\n71403 100000\n53960 80880\n21440 32227\n23450 35190\n69234 100000\n49874 74771\n38741 58091\n74643 100000\n50248 75325\n45137 67696\n84739 100000\n4481 6743\n34198 51278\n57042 85548\n52140 78142\n70201 100000\n84995 100000\n17887 26872\n26950 40404\n25830 38756\n2938 4434\n17349 26079\n93644 100000\n9975 14971\n94940 100000\n74498 100000\n69032 100000\n53152 79661\n93665 100000\n64102 96136\n80106 100000\n9592 14392\n14708 22126\n49012 73461\n1888 2842\n72754 100000\n59462 89196\n13325 20011\n63922 95861\n95678 100000\n21661 32539\n35591 53362\n5992 9006\n49286 73869\n18003 27048\n42961 64431\n59771 89683\n29591 44371\n58548 87818\n36976 55443\n36332 54476\n46185 69251\n2932 4425\n26568 39858\n79316 100000\n16857 25341\n69041 100000\n83362 100000\n68380 100000\n40482 60708\n80848 100000\n1668 2517\n2529 3812\n36914 55353\n44966 67431\n67194 100000\n1669 2519\n72262 100000\n60410 90631\n92245 100000\n7597 11418\n68595 100000\n63695 95517\n42073 63106\n93269 100000\n98727 100000\n98293 100000\n74505 100000\n86309 100000\n97221 100000\n53003 79437\n68004 100000\n27654 41468\n79936 100000\n75508 100000\n90974 100000\n49484 74166\n83376 100000\n36639 54941\n95670 100000\n21125 31752\n39329 58969\n34715 52065\n77904 100000\n31240 46882\n76913 100000\n66911 100000\n37654 56465\n49961 74891\n51881 77757\n4172 6280\n84293 100000\n56945 85403\n49878 74778\n48588 72823\n99575 100000\n30429 45647\n29934 44891\n19788 29752\n39038 58522\n75846 100000\n12379 18577\n89159 100000\n84162 100000\n70290 100000\n99093 100000\n78446 100000\n40062 60071\n16637 25017\n31447 47182\n80372 100000\n77659 100000\n15391 23159\n4659 7014\n39906 59832\n5396 8111\n25159 37757\n33697 50527\n17168 25802\n23031 34558\n55894 83824\n52721 79013\n7207 10837\n20724 31149\n67957 100000\n28708 43056\n7935 11924\n25647 38472\n83009 100000\n47149 70674\n23559 35350\n21408 32178\n18764 28215\n16899 25397\n60770 91163\n29661 44475\n80639 100000\n7510 11287\n78577 100000\n58513 87767\n80756 100000\n96406 100000\n86902 100000\n65686 98533\n49470 74144\n43466 65206\n92090 100000\n6367 9595\n63534 95280\n61604 92408\n97999 100000\n6133 9229\n94569 100000\n59902 89877\n42978 64458\n69283 100000\n71402 100000\n13454 20214\n52751 79058\n81926 100000\n4408 6637\n89665 100000\n901 1368\n45183 67767\n75168 100000\n17432 26200\n74098 100000\n39363 59019\n36289 54412\n78385 100000\n2570 3875\n20023 30103\n28672 43004\n47965 71878\n24127 36211\n48412 72547\n61233 91855\n8635 12957\n26689 40033\n87860 100000\n90587 100000\n83108 100000\n42417 63625\n97917 100000\n41629 62439\n6927 10408\n77513 100000\n83453 100000\n31158 46760\n58351 87528\n93815 100000\n68986 100000\n18557 27888\n51131 76655\n916 1392\n96200 100000\n31222 46860\n71198 100000\n13153 19754\n25325 38001\n7189 10812\n60250 90386\n5723 8598\n60799 91206\n12518 18781\n17732 26639\n5398 8113\n37066 55578\n6009 9034\n77672 100000\n7052 10602\n14267 21450\n98925 100000\n29883 44813\n81094 100000\n75730 100000\n51776 77593\n54929 82356\n36079 54088\n85501 100000\n52730 79027\n86169 100000\n95586 100000\n37262 55875\n47327 70942\n59516 89285\n10605 15906\n90579 100000\n25847 38779\n25082 37645\n96648 100000\n38056 57067\n21725 32635\n72381 100000\n75774 100000\n76141 100000\n55949 83905\n24907 37368\n56878 85298\n70127 100000\n6503 9785\n93714 100000\n86987 100000\n61727 92589\n13629 20483\n19412 29186\n41654 62479\n57971 86938\n76185 100000\n53547 80257\n1015 1536\n93978 100000\n75862 100000\n49704 74507\n16144 24272\n95901 100000\n72783 100000\n68259 100000\n86058 100000\n90080 100000\n90143 100000\n17023 25575\n47479 71154\n12952 19441\n53568 80287\n69855 100000\n78740 100000\n35350 53005\n21944 32963\n43011 64506\n34341 51492\n67803 100000\n1209 1831\n49667 74453\n65906 98872\n70706 100000\n51551 77260\n93199 100000\n13974 21008\n63945 95891\n55743 83603\n97703 100000\n33522 50265\n16550 24885\n42022 63032\n58770 88150\n40982 61461\n85369 100000\n90420 100000\n3456 5215\n93783 100000\n91973 100000\n87014 100000\n92602 100000\n42028 63042\n14971 22520\n79508 100000\n52239 78288\n52790 79117\n28640 42955\n60503 90764\n10931 16398\n14635 22009\n57143 85696\n188 287\n77441 100000\n41214 61815\n51571 77286\n3562 5365\n23012 34526\n76754 100000\n40234 60332\n66149 99243\n77901 100000\n33438 50141\n73246 100000\n11961 17953\n17575 26410\n77216 100000\n21527 32356\n86614 100000\n56760 85122\n30551 45840\n34863 52295\n39235 58821\n33399 50081\n1204 1823\n28211 42306\n60286 90440\n97140 100000\n88872 100000\n45898 68829\n10434 15661\n60725 91092\n73650 100000\n47331 70949\n93894 100000\n55600 83388\n94408 100000\n58163 87235\n94323 100000\n9215 13820\n36113 54139\n1156 1748\n78778 100000\n95832 100000\n19593 29458\n85687 100000\n41541 62311\n21919 32927\n60964 91460\n73163 100000\n38971 58421\n6981 10496\n70832 100000\n88817 100000\n80793 100000\n45895 68823\n4080 6137\n32769 49154\n75486 100000\n42747 64114\n79768 100000\n46629 69899\n39839 59733\n59427 89137\n75592 100000\n93438 100000\n16194 24349\n34099 51127\n19496 29314\n53140 79643\n50838 76214\n50165 75195\n60242 90373\n93188 100000\n80912 100000\n55147 82700\n20099 30212\n14036 21106\n94809 100000\n71232 100000\n29217 43815\n47393 71036\n6818 10248\n99261 100000\n61444 92171\n73251 100000\n73434 100000\n30570 45868\n71909 100000\n68550 100000\n93082 100000\n29396 44094\n25873 38817\n62593 93903\n71067 100000\n31713 47586\n43129 64687\n99981 100000\n65677 98522\n35298 52929\n9688 14538\n53245 79808\n76684 100000\n40476 60700\n43669 65503\n69317 100000\n83900 100000\n8421 12641\n21136 31768\n90935 100000\n31010 46545\n98788 100000\n90478 100000\n93863 100000\n24747 37129\n1512 2290\n3655 5505\n39917 59847\n17512 26313\n4624 6962\n29706 44545\n65378 98071\n41587 62377\n11299 16960\n25374 38071\n6477 9746\n79739 100000\n14444 21714\n9344 14020\n9878 14827\n34440 51647\n37855 56760\n298 458\n73266 100000\n41042 61555\n74135 100000\n72887 100000\n93268 100000\n33449 50156\n80314 100000\n72622 100000\n29103 43643\n54666 81953\n70278 100000\n48379 72498\n58730 88089\n67216 100000\n7761 11663\n83092 100000\n36040 54032\n41827 62749\n25628 38440\n48127 72116\n20401 30664\n19194 28858\n53947 80858\n68255 100000\n91607 100000\n97478 100000\n89030 100000\n38830 58219\n23174 34780\n76891 100000\n39021 58495\n24175 36277\n90185 100000\n38128 57171\n21108 31730\n87450 100000\n33048 49565\n33527 50272\n98331 100000\n86798 100000\n61955 92947\n71602 100000\n5479 8235\n18676 28072\n26724 40078\n44633 66940\n6260 9426\n30601 45913\n31786 47694\n76497 100000\n73361 100000\n97539 100000\n94303 100000\n79952 100000\n8111 12179\n79507 100000\n97092 100000\n97064 100000\n80708 100000\n55639 83444\n7408 11132\n47103 70603\n65804 98716\n61660 92493\n74024 100000\n6058 9114\n85498 100000\n39761 59617\n54294 81377\n71126 100000\n67067 100000\n23906 35874\n52495 78674\n23523 35296\n41338 62004\n28250 42362\n67513 100000\n5499 8263\n12741 19122\n65951 98940\n97537 100000\n57251 85862\n72723 100000\n54143 81152\n91049 100000\n49188 73726\n82370 100000\n37317 55955\n61879 92830\n82648 100000\n66588 99893\n42395 63588\n1194 1808\n41581 62368\n51016 76480\n7317 10999\n93321 100000\n14576 21912\n13184 19802\n18704 28121\n64201 96291\n62584 93888\n62578 93878\n91424 100000\n30770 46177\n32858 49282\n36747 55108\n55671 83494\n94291 100000\n79108 100000\n17739 26652\n37760 56620\n99911 100000\n54372 81502\n11430 17156\n90343 100000\n98602 100000\n1239 1878\n6160 9272\n94429 100000\n74381 100000\n45009 67499\n69807 100000\n5786 8693\n57070 85590\n50301 75406\n42369 63549\n26819 40218\n71470 100000\n45092 67631\n6468 9734\n7834 11767\n67591 100000\n70060 100000\n75697 100000\n61570 92357\n22922 34396\n25738 38611\n77175 100000\n13941 20960\n55740 83597\n21898 32894\n38743 58095\n53050 79510\n31251 46898\n87919 100000\n12388 18593\n33169 49741\n65528 98294\n72740 100000\n7346 11044\n72710 100000\n54410 81563\n61689 92535\n79387 100000\n90172 100000\n41388 62079\n28288 42424\n38307 57447\n19837 29824\n73573 100000\n49298 73887\n93603 100000\n74543 100000\n97349 100000\n92922 100000\n50582 75827\n38417 57608\n67388 100000\n3872 5827\n69408 100000\n12688 19045\n73255 100000\n64417 96610\n5242 7883\n18036 27096\n45931 68872\n89869 100000\n38543 57801\n97736 100000\n96297 100000\n62345 93535\n16619 24989\n67999 100000\n43274 64908\n57987 86964\n38451 57663\n87731 100000\n59907 89885\n85795 100000\n96919 100000\n8512 12768\n68109 100000\n34834 52246\n81805 100000\n18823 28307\n90184 100000\n81001 100000\n27329 40968\n9014 13517\n48698 72991\n34038 51038\n78089 100000\n55645 83454\n12119 18191\n89694 100000\n563 862\n87595 100000\n99796 100000\n45215 67815\n76904 100000\n14059 21141\n62591 93900\n70692 100000\n30542 45824\n1219 1847\n37030 55525\n67303 100000\n59346 89015\n97165 100000\n53089 79569\n39313 58943\n50848 76229\n25465 38208\n24222 36348\n70968 100000\n14006 21059\n28460 42685\n62730 94107\n76578 100000\n76961 100000\n94123 100000\n65862 98802\n22547 33840\n16253 24438\n1642 2477\n36969 55431\n61741 92611\n9645 14470\n43270 64900\n65643 98470\n63198 94794\n21307 32028\n7432 11166\n55789 83676\n73532 100000\n23920 35892\n72211 100000\n49740 74565\n90987 100000\n4419 6652\n84522 100000\n39328 58967\n35094 52631\n38551 57814\n30186 45272\n36300 54426\n82489 100000\n40420 60609\n22854 34294\n97898 100000\n42405 63606\n61344 92025\n445 680\n97774 100000\n338 519\n46760 70095\n35309 52947\n52348 78454\n26028 39049\n4721 7106\n17127 25735\n65132 97687\n22036 33095\n72824 100000\n94461 100000\n65439 98158\n8688 13037\n99653 100000\n26960 40418\n89141 100000\n95755 100000\n21030 31615\n15311 23038\n29864 44782\n96292 100000\n91802 100000\n64543 96801\n7226 10867\n70796 100000\n10119 15189\n40692 61017\n88837 100000\n94259 100000\n73190 100000\n68992 100000\n67578 100000\n95882 100000\n33113 49657\n49349 73965\n47070 70555\n90773 100000\n9873 14819\n63341 94998\n66514 99788\n16750 25183\n76922 100000\n6083 9150\n21736 32653\n77332 100000\n80381 100000\n35791 53659\n4711 7090\n67258 100000\n63474 95194\n63250 94871\n60924 91401\n28594 42881\n70409 100000\n91108 100000\n80173 100000\n31581 47386\n98063 100000\n99169 100000\n95631 100000\n67080 100000\n62186 93283\n30503 45759\n49440 74099\n4196 6316\n24365 36567\n78715 100000\n34636 51944\n85131 100000\n16450 24733\n74006 100000\n73208 100000\n83723 100000\n76243 100000\n77603 100000\n9118 13669\n97115 100000\n24139 36227\n6806 10230\n34321 51461\n86977 100000\n34851 52277\n5529 8307\n19931 29967\n44547 66808\n82003 100000\n27008 40487\n10006 15018\n11807 17725\n14866 22363\n80488 100000\n62222 93342\n84889 100000\n97654 100000\n35945 53890\n74089 100000\n43555 65337\n5240 7880\n73321 100000\n48138 72135\n95769 100000\n81161 100000\n55280 82898\n80674 100000\n58705 88048\n52727 79021\n39841 59735\n83781 100000\n32823 49233\n72340 100000\n35460 53175\n83565 100000\n16613 24980\n26397 39600\n52213 78253\n49284 73865\n37323 55962\n52698 78977\n19697 29614\n8157 12248\n55583 83359\n94177 100000\n95395 100000\n89147 100000\n70271 100000\n30533 45810\n91121 100000\n54629 81890\n90219 100000\n14809 22281\n53305 79907\n80434 100000\n43924 65879\n14102 21208\n18063 27138\n34744 52112\n79292 100000\n37486 56206\n14263 21444\n72229 100000\n90686 100000\n25969 38960\n4437 6681\n16000 24059\n83609 100000\n69973 100000\n36866 55281\n61835 92760\n961 1459\n32668 49002\n40526 60769\n79310 100000\n98568 100000\n64751 97114\n77853 100000\n65220 97823\n62363 93562\n26044 39073\n65841 98773\n96351 100000\n99489 100000\n119 185\n84516 100000\n32052 48092\n7531 11320\n49578 74314\n45851 68757\n11782 17687\n63033 94559\n64750 97113\n20577 30916\n36187 54250\n75893 100000\n5672 8524\n83604 100000\n40670 60986\n89989 100000\n72800 100000\n80306 100000\n4442 6688\n72515 100000\n17100 25691\n27185 40752\n88293 100000\n34270 51385\n86541 100000\n4354 6556\n17591 26430\n46220 69298\n31467 47211\n77798 100000\n21333 32067\n97271 100000\n61575 92363\n81640 100000\n40900 61339\n64396 96582\n44334 66490\n93931 100000\n74508 100000\n72953 100000\n3183 4803\n66789 100000\n15531 23368\n6522 9812\n6886 10350\n82657 100000\n21732 32648\n47952 71860\n96521 100000\n98647 100000\n93696 100000\n84578 100000\n41935 62911\n32204 48314\n72306 100000\n13945 20966\n89026 100000\n55284 82905\n67059 100000\n87896 100000\n50965 76403\n38594 57871\n63327 94980\n16662 25056\n68416 100000\n52359 78471\n15896 23905\n98633 100000\n23616 35430\n8978 13467\n48079 72048\n40494 60725\n1147 1734\n91694 100000\n11759 17651\n29066 43593\n93326 100000\n61938 92918\n68069 100000\n77159 100000\n4578 6894\n15087 22705\n65482 98219\n78633 100000\n93426 100000\n76988 100000\n52332 78427\n45863 68773\n90736 100000\n30763 46166\n99127 100000\n5060 7612\n60135 90229\n44693 67027\n52448 78604\n68019 100000\n43202 64794\n2460 3705\n25972 38965\n30526 45800\n4647 6995\n14011 21065\n30267 45392\n5756 8647\n48862 73238\n54014 80955\n27467 41191\n68911 100000\n379 580\n47087 70582\n85093 100000\n85083 100000\n72067 100000\n94599 100000\n45899 68830\n70066 100000\n27447 41159\n51073 76566\n2575 3883\n23328 35006\n88138 100000\n64713 97060\n44624 66926\n32412 48627\n88665 100000\n55225 82816\n49126 73634\n72579 100000\n27995 41982\n23876 35823\n15639 23532\n61282 91928\n83611 100000\n64164 96234\n57332 85990\n33770 50640\n63465 95180\n33391 50067\n50403 75564\n38350 57508\n54248 81302\n15121 22756\n51870 77741\n8430 12654\n34521 51770\n53871 80740\n98557 100000\n99619 100000\n6557 9861\n20731 31159\n97238 100000\n85907 100000\n52891 79271\n62018 93036\n77840 100000\n97044 100000\n9545 14322\n97739 100000\n45737 68594\n44770 67144\n96664 100000\n8901 13356\n57415 86119\n49110 73610\n23005 34516\n98073 100000\n14224 21390\n61350 92034\n25532 38300\n68394 100000\n87245 100000\n91638 100000\n63354 95018\n5636 8473\n84150 100000\n44734 67091\n20592 30943\n4435 6678\n15874 23869\n88877 100000\n91411 100000\n72897 100000\n66545 99833\n5630 8464\n82509 100000\n51301 76901\n28664 42993\n44809 67199\n15387 23152\n72655 100000\n51563 77275\n53255 79824\n73500 100000\n27585 41363\n93492 100000\n58330 87496\n12360 18550\n86432 100000\n79623 100000\n62605 93923\n63904 95834\n78346 100000\n46533 69758\n61545 92316\n53365 79992\n78665 100000\n75810 100000\n79457 100000\n16185 24333\n90437 100000\n50216 75274\n71173 100000\n90246 100000\n21880 32871\n78066 100000\n24986 37493\n26922 40365\n75453 100000\n14611 21967\n85568 100000\n65495 98241\n46837 70204\n95690 100000\n78922 100000\n95859 100000\n24861 37302\n73522 100000\n57328 85985\n90442 100000\n74037 100000\n26496 39747\n57653 86470\n27077 40594\n25103 37676\n31842 47777\n50382 75529\n29449 44166\n27848 41767\n94842 100000\n11068 16611\n42631 63940\n99053 100000\n62710 94078\n70713 100000\n88954 100000\n81962 100000\n38778 58147\n32681 49022\n37259 55871\n49103 73599\n7467 11220\n31564 47361\n98535 100000\n53364 79990\n56306 84452\n40463 60676\n88637 100000\n40088 60108\n46297 69412\n83726 100000\n58203 87295\n54979 82432\n58787 88174\n71796 100000\n98706 100000\n64240 96349\n50036 75002\n96661 100000\n8217 12339\n93536 100000\n52684 78960\n24879 37329\n82335 100000\n45849 68753\n28308 42453\n91758 100000\n28418 42620\n94719 100000\n23305 34974\n57862 86771\n31106 46683\n5805 8725\n10740 16107\n15239 22929\n95519 100000\n57682 86515\n14253 21430\n45372 68053\n48331 72424\n75074 100000\n72540 100000\n69228 100000\n93496 100000\n89695 100000\n48856 73229\n73001 100000\n41672 62504\n73314 100000\n71946 100000\n29347 44025\n28223 42323\n18300 27494\n38845 58243\n35682 53497\n66893 100000\n47876 71740\n51135 76660\n99558 100000\n43285 64928\n37970 56934\n20730 31158\n52959 79373\n47388 71031\n34498 51738\n34494 51733\n11904 17873\n80999 100000\n55978 83948\n74239 100000\n26509 39767\n2806 4232\n29326 43989\n85590 100000\n44080 66109\n11810 17728\n77108 100000\n79803 100000\n27340 40982\n29861 44777\n74823 100000\n77038 100000\n26963 40423\n49774 74620\n93285 100000\n91717 100000\n66523 99800\n6907 10381\n44286 66419\n42136 63201\n89261 100000\n15909 23922\n22611 33940\n77183 100000\n3813 5742\n87577 100000\n52229 78276\n24940 37423\n52588 78814\n28014 42013\n35788 53654\n52012 77954\n29015 43520\n18802 28274\n31686 47545\n7135 10731\n32320 48485\n71051 100000\n66944 100000\n8578 12870\n15999 24058\n34623 51925\n46833 70197\n29329 43994\n24278 36434\n61298 91953\n49876 74774\n12503 18761\n72768 100000\n29102 43642\n69402 100000\n78478 100000\n17537 26353\n26553 39834\n5416 8139\n81687 100000\n13882 20869\n92561 100000\n47871 71733\n49001 73445\n72329 100000\n83368 100000\n21086 31696\n7953 11947\n11475 17226\n45124 67677\n31875 47823\n99757 100000\n62909 94376\n82542 100000\n88068 100000\n91548 100000\n38155 57215\n81846 100000\n63929 95870\n46277 69381\n31594 47407\n30317 45463\n51538 77239\n61221 91839\n89818 100000\n72308 100000\n57676 86507\n17118 25719\n85799 100000\n47616 71359\n71336 100000\n44702 67043\n89033 100000\n36981 55450\n89915 100000\n12767 19157\n40486 60714\n14485 21778\n23307 34978\n40519 60759\n85354 100000\n80151 100000\n86088 100000\n24855 37293\n72847 100000\n10080 15129\n44564 66833\n59134 88694\n31466 47210\n16163 24300\n37596 56374\n23423 35151\n66424 99652\n4188 6306\n13831 20790\n25336 38017\n16893 25389\n48703 72999\n37601 56380\n32877 49312\n83616 100000\n43196 64785\n39116 58631\n36634 54933\n76071 100000\n76483 100000\n34504 51747\n84100 100000\n95730 100000\n82058 100000\n28071 42097\n32734 49103\n58451 87682\n90371 100000\n82573 100000\n91931 100000\n36555 54807\n23739 35619\n62703 94065\n99930 100000\n86288 100000\n4109 6183\n16375 24621\n13586 20415\n73584 100000\n45275 67908\n63035 94562\n43738 65607\n52646 78902\n2888 4358\n79019 100000\n22500 33774\n79036 100000\n37138 55682\n5864 8818\n52703 78985\n70668 100000\n44079 66107\n53682 80453\n28624 42929\n38015 57004\n9520 14280\n16743 25174\n67196 100000\n14104 21210\n12770 19160\n27071 40585\n11285 16937\n15825 23797\n48729 73038\n74570 100000\n41394 62088\n2732 4119\n8432 12656\n39106 58619\n97543 100000\n53265 79838\n87807 100000\n72700 100000\n64489 96716\n36056 54055\n90290 100000\n52756 79065\n12612 18924\n34771 52151\n59212 88813\n90784 100000\n71283 100000\n77164 100000\n33180 49758\n3130 4720\n84609 100000\n94093 100000\n47074 70563\n97682 100000\n65777 98675\n97802 100000\n53385 80022\n30164 45237\n811 1231\n13633 20489\n32925 49384\n46758 70092\n66038 99073\n44936 67392\n6504 9786\n62323 93497\n82913 100000\n62754 94146\n14195 21344\n81409 100000\n47119 70628\n37220 55806\n93886 100000\n71056 100000\n68026 100000\n88142 100000\n53477 80154\n26846 40258\n92997 100000\n4822 7256\n12587 18886\n63640 95439\n70378 100000\n74011 100000\n57946 86900\n98728 100000\n20087 30196\n26093 39150\n42064 63095\n8697 13050\n92175 100000\n86603 100000\n48521 72717\n838 1274\n87239 100000\n87097 100000\n10738 16104\n48342 72443\n65446 98170\n65104 97648\n1028 1552\n37397 56069\n90133 100000\n59100 88639\n1718 2587\n25918 38887\n73437 100000\n65833 98761\n80255 100000\n10643 15963\n1901 2861\n55018 82498\n56188 84266\n63681 95498\n68310 100000\n76862 100000\n65511 98265\n72818 100000\n5088 7656\n85476 100000\n10810 16214\n99486 100000\n65763 98652\n34785 52172\n9744 14622\n4111 6186\n23144 34736\n23863 35804\n64325 96474\n24387 36600\n19152 28798\n96995 100000\n39605 59386\n10534 15801\n19984 30046\n22878 34332\n89630 100000\n46510 69722\n31130 46718\n63482 95206\n93049 100000\n66576 99873\n33152 49716\n73030 100000\n83451 100000\n34605 51901\n37901 56829\n74605 100000\n3212 4847\n62408 93629\n98678 100000\n58398 87601\n13044 19585\n23064 34613\n90423 100000\n87583 100000\n39818 59704\n6385 9624\n38032 57032\n19542 29381\n90672 100000\n40360 60518\n79570 100000\n91478 100000\n49419 74068\n10714 16068\n90899 100000\n4654 7007\n97773 100000\n44337 66495\n33516 50254\n31258 46907\n9595 14397\n45336 67999\n808 1227\n71760 100000\n59012 88509\n43410 65117\n14768 22219\n91652 100000\n30089 45120\n92227 100000\n80971 100000\n30402 45603\n44207 66299\n56350 84514\n9880 14830\n1594 2404\n83341 100000\n6233 9386\n46756 70088\n71252 100000\n18814 28293\n80606 100000\n29462 44184\n16346 24574\n38188 57268\n21673 32557\n81212 100000\n95808 100000\n75182 100000\n83813 100000\n99049 100000\n24410 36633\n91494 100000\n51773 77590\n10602 15901\n43841 65754\n96361 100000\n36058 54058\n71245 100000\n73400 100000\n30103 45140\n94804 100000\n77955 100000\n11089 16646\n25714 38573\n33920 50866\n61302 91961\n9131 13686\n12433 18659\n76739 100000\n7114 10698\n92499 100000\n10987 16483\n43210 64806\n49366 73988\n54549 81776\n56935 85385\n1733 2610\n93533 100000\n44812 67204\n44463 66680\n31042 46595\n13241 19887\n92452 100000\n37273 55891\n24326 36508\n18967 28521\n21523 32349\n76605 100000\n65041 97552\n93413 100000\n45026 67527\n8128 12204\n95907 100000\n41387 62078\n63614 95403\n857 1303\n27252 40856\n10300 15462\n79426 100000\n59235 88848\n910 1382\n46630 69900\n40404 60586\n55153 82707\n25216 37841\n49949 74872\n34729 52085\n54815 82183\n25226 37857\n36387 54562\n40747 61106\n28792 43186\n85830 100000\n64083 96106\n12305 18464\n76480 100000\n52320 78411\n83142 100000\n38149 57205\n3875 5832\n44229 66334\n8171 12268\n330 504\n91285 100000\n44324 66476\n65431 98149\n98950 100000\n26742 40102\n21485 32298\n73446 100000\n26883 40308\n99661 100000\n52885 79262\n76436 100000\n26727 40082\n67635 100000\n77671 100000\n73979 100000\n76166 100000\n90271 100000\n62287 93438\n90789 100000\n44378 66558\n12754 19140\n34182 51256\n11373 17065\n5266 7916\n84982 100000\n10858 16289\n31975 47976\n30346 45509\n89290 100000\n24705 37065\n79669 100000\n64185 96265\n91976 100000\n97222 100000\n33035 49544\n57597 86383\n85121 100000\n653 996\n47813 71652\n80495 100000\n76125 100000\n28332 42490\n35848 53745\n35138 52699\n54290 81371\n81568 100000\n52115 78108\n85060 100000\n18400 27645\n95101 100000\n81784 100000\n47810 71649\n17821 26777\n45800 68681\n79779 100000\n46069 69085\n30380 45566\n14993 22557\n28570 42846\n3901 5870\n57575 86352\n6524 9815\n7476 11234\n7857 11802\n2055 3089\n6977 10490\n11525 17300\n89276 100000\n90445 100000\n31915 47883\n12393 18599\n20566 30901\n72951 100000\n25129 37714\n66848 100000\n20809 31281\n84827 100000\n76345 100000\n79942 100000\n74581 100000\n23120 34699\n96007 100000\n52227 78273\n41068 61594\n98472 100000\n51132 76656\n63782 95644\n12862 19303\n33855 50772\n64478 96703\n65526 98290\n82424 100000\n44610 66905\n90120 100000\n65518 98276\n54536 81757\n79972 100000\n61608 92413\n16580 24930\n47182 70726\n28343 42505\n63068 94613\n30841 46281\n43209 64805\n84895 100000\n19812 29789\n11843 17776\n97584 100000\n86359 100000\n53911 80805\n11163 16752\n49150 73669\n37127 55666\n3215 4852\n23614 35428\n48980 73413\n30396 45592\n87984 100000\n24157 36250\n82596 100000\n72794 100000\n23367 35068\n68689 100000\n28618 42918\n44875 67303\n90366 100000\n27312 40945\n65816 98732\n53346 79969\n80363 100000\n31659 47503\n11418 17136\n28956 43438\n82598 100000\n65460 98187\n17538 26355\n92947 100000\n21778 32714\n91344 100000\n88910 100000\n3628 5463\n96267 100000\n94892 100000\n99308 100000\n72090 100000\n51955 77868\n34764 52140\n7938 11930\n98454 100000\n79314 100000\n49682 74475\n92885 100000\n17246 25923\n93409 100000\n97622 100000\n6496 9776\n22046 33109\n51185 76735\n20588 30936\n43206 64800\n91853 100000\n6900 10371\n62132 93195\n46030 69023\n76389 100000\n76259 100000\n96427 100000\n9126 13679\n47142 70665\n25052 37592\n87684 100000\n19081 28691\n70819 100000\n84369 100000\n14092 21193\n97045 100000\n25960 38948\n73257 100000\n39531 59271\n4194 6314\n72474 100000\n98704 100000\n83737 100000\n88155 100000\n38841 58236\n23515 35286\n1130 1707\n46121 69157\n82665 100000\n1889 2844\n41465 62194\n45357 68032\n62767 94166\n59268 88900\n21812 32772\n16300 24508\n6713 10099\n64433 96635\n7292 10961\n55087 82604\n83570 100000\n33137 49694\n43021 64520\n33928 50878\n96753 100000\n12806 19216\n96471 100000\n39628 59422\n27621 41415\n57232 85832\n76570 100000\n47391 71034\n94036 100000\n33123 49670\n97698 100000\n90609 100000\n22485 33751\n96509 100000\n89028 100000\n78793 100000\n64473 96696\n66024 99050\n11580 17380\n7446 11187\n77533 100000\n39087 58590\n93157 100000\n30657 46001\n42489 63730\n75795 100000\n213 328\n98927 100000\n93485 100000\n12898 19358\n3134 4726\n40493 60724\n80001 100000\n83267 100000\n54868 82263\n94656 100000\n64837 97240\n2643 3982\n59119 88671\n37889 56812\n93976 100000\n99976 100000\n81730 100000\n16392 24644\n93408 100000\n16627 25003\n42142 63211\n23729 35605\n37834 56732\n74117 100000\n32375 48573\n36257 54359\n45424 68126\n3051 4604\n10803 16203\n51636 77380\n48559 72779\n11167 16758\n64866 97286\n39717 59555\n32846 49264\n94329 100000\n33407 50094\n52904 79289\n81830 100000\n93464 100000\n47287 70883\n6785 10201\n94126 100000\n81967 100000\n74671 100000\n4171 6278\n106 165\n16841 25315\n3070 4635\n72344 100000\n80285 100000\n29063 43590\n26169 39261\n190 290\n32939 49405\n45016 67510\n96040 100000\n62954 94439\n72650 100000\n15008 22581\n44467 66685\n48982 73416\n43359 65039\n36152 54197\n93561 100000\n33916 50861\n34613 51910\n78033 100000\n28173 42250\n86679 100000\n31711 47582\n85051 100000\n8052 12086\n43009 64503\n55170 82735\n1256 1904\n55937 83887\n80651 100000\n35307 52943\n48656 72925\n82816 100000\n24591 36893\n34119 51158\n74083 100000\n59958 89962\n51097 76602\n90275 100000\n61421 92137\n45246 67863\n47289 70886\n53498 80185\n89813 100000\n61243 91869\n43536 65308\n98350 100000\n96117 100000\n52619 78859\n8010 12023\n38688 58015\n48044 71992\n64975 97455\n73134 100000\n89773 100000\n41084 61618\n53524 80225\n39683 59507\n89322 100000\n12955 19445\n78952 100000\n99380 100000\n47606 71343\n95198 100000\n96550 100000\n37753 56608\n65159 97729\n25224 37854\n1814 2729\n26470 39711\n67981 100000\n5509 8276\n86011 100000\n23434 35167\n12333 18510\n72815 100000\n89143 100000\n98372 100000\n16429 24703\n78540 100000\n30393 45586\n23030 34556\n38021 57015\n39139 58663\n71321 100000\n47130 70646\n61016 91538\n58737 88100\n49202 73746\n54590 81833\n28682 43018\n64896 97330\n57784 86665\n58662 87986\n27067 40579\n26851 40265\n75790 100000\n3949 5942\n56586 84873\n28068 42094\n13199 19827\n89468 100000\n50897 76305\n39589 59363\n6334 9544\n71709 100000\n16675 25074\n68287 100000\n95920 100000\n92410 100000\n34611 51907\n19124 28755\n99483 100000\n99344 100000\n12389 18595\n68691 100000\n66418 99643\n5316 7993\n77806 100000\n27594 41375\n14945 22483\n68036 100000\n61809 92717\n8668 13006\n59523 89294\n44385 66569\n47883 71751\n47991 71921\n13457 20219\n96823 100000\n84648 100000\n9670 14509\n25107 37682\n20987 31551\n23582 35385\n81712 100000\n85252 100000\n4973 7482\n19461 29260\n98705 100000\n80960 100000\n73346 100000\n76937 100000\n44033 66043\n70797 100000\n71781 100000\n4593 6916\n73827 100000\n28095 42134\n67183 100000\n77615 100000\n12693 19051\n37597 56375\n74001 100000\n98966 100000\n80174 100000\n65235 97846\n49923 74838\n13535 20336\n81585 100000\n18784 28244\n76558 100000\n18858 28360\n55816 83709\n29814 44711\n92954 100000\n71120 100000\n14154 21286\n53679 80449\n48089 72062\n18374 27605\n16499 24814\n37401 56076\n46103 69133\n18229 27391\n61892 92849\n11301 16964\n55788 83674\n88106 100000\n19609 29484\n26991 40460\n99502 100000\n14803 22273\n65954 98945\n22760 34157\n64461 96677\n11582 17383\n9666 14502\n74427 100000\n83367 100000\n30713 46088\n51879 77755\n21583 32436\n86790 100000\n46568 69810\n1427 2159\n83084 100000\n75288 100000\n2996 4524\n37230 55823\n39666 59478\n90168 100000\n897 1361\n76350 100000\n28245 42356\n56108 84146\n71152 100000\n55884 83807\n21515 32338\n76773 100000\n22170 33295\n98781 100000\n89875 100000\n6141 9241\n41295 61942\n89741 100000\n84456 100000\n12901 19362\n94110 100000\n63853 95755\n80068 100000\n70937 100000\n6238 9393\n22362 33565\n23468 35215\n68096 100000\n30597 45907\n18447 27712\n48244 72292\n73947 100000\n84189 100000\n14215 21377\n42716 64062\n68828 100000\n96283 100000\n90977 100000\n70165 100000\n4166 6271\n84460 100000\n34327 51472\n34573 51852\n38614 57902\n41190 61777\n85672 100000\n10127 15202\n69083 100000\n37335 55979\n5610 8433\n20431 30707\n46534 69760\n63070 94616\n87968 100000\n95877 100000\n48981 73415\n42451 63674\n861 1309\n49957 74887\n28614 42911\n41280 61921\n88292 100000\n48884 73270\n88004 100000\n67382 100000\n29603 44388\n4723 7109\n32636 48952\n22743 34133\n8776 13166\n15771 23717\n67932 100000\n90176 100000\n35690 53510\n9630 14450\n20349 30594\n37435 56129\n10864 16299\n92220 100000\n55353 83007\n35377 53048\n63773 95630\n48224 72263\n92281 100000\n63005 94516\n95373 100000\n51886 77762\n47667 71439\n71684 100000\n73488 100000\n36613 54900\n55391 83064\n13889 20880\n14368 21602\n10762 16140\n47521 71213\n34933 52397\n47564 71279\n855 1300\n93920 100000\n29224 43827\n38752 58112\n68037 100000\n36915 55354\n7731 11616\n37479 56196\n34599 51892\n15341 23084\n4942 7438\n92628 100000\n22938 34420\n61675 92516\n7174 10787\n27230 40821\n20229 30413\n45962 68918\n50335 75456\n31668 47518\n4563 6869\n18741 28179\n3311 4998\n35207 52799\n32515 48781\n89259 100000\n61284 91931\n80333 100000\n73297 100000\n26173 39266\n89014 100000\n17511 26312\n15768 23714\n8991 13483\n84221 100000\n89730 100000\n70328 100000\n66560 99851\n54227 81273\n62044 93073\n71320 100000\n54059 81025\n11268 16909\n66618 99938\n77385 100000\n39829 59720\n68467 100000\n39259 58858\n18674 28069\n43824 65730\n92147 100000\n53065 79533\n73381 100000\n31345 47035\n50518 75733\n431 660\n34948 52416\n59940 89932\n70814 100000\n29118 43667\n29252 43871\n75859 100000\n35476 53199\n95277 100000\n18292 27482\n25746 38623\n8838 13263\n14281 21471\n52146 78151\n25636 38453\n87514 100000\n41737 62607\n4458 6711\n75034 100000\n76801 100000\n37567 56326\n9439 14156\n6463 9729\n62302 93464\n27527 41278\n33079 49610\n40343 60491\n22487 33754\n98133 100000\n16037 24114\n29726 44572\n41215 61817\n49919 74833\n13238 19882\n54226 81272\n59371 89052\n15242 22934\n36112 54137\n2337 3517\n77905 100000\n45549 68318\n21258 31955\n18762 28213\n80159 100000\n3046 4595\n3913 5892\n64797 97182\n2410 3623\n23996 36012\n19969 30023\n13783 20717\n79329 100000\n2147 3221\n16714 25132\n90123 100000\n8280 12429\n66605 99920\n10003 15013\n55691 83524\n66548 99836\n69307 100000\n97817 100000\n20663 31050\n1886 2839\n37418 56104\n33621 50415\n77075 100000\n80824 100000\n2885 4353\n92174 100000\n15556 23407\n62661 94005\n98658 100000\n87136 100000\n16438 24715\n58027 87025\n14698 22112\n96512 100000\n40522 60764\n25684 38521\n31731 47614\n90568 100000\n6118 9205\n66134 99221\n93712 100000\n34650 51965\n58013 87004\n70408 100000\n73401 100000\n74987 100000\n72459 100000\n70559 100000\n2030 3050\n89885 100000\n53591 80318\n97311 100000\n82379 100000\n63908 95841\n82418 100000\n60680 91026\n28303 42446\n75435 100000\n10918 16381\n21885 32878\n21234 31918\n67618 100000\n48673 72950\n52071 78047\n96431 100000\n37422 56108\n34402 51591\n70478 100000\n74476 100000\n69574 100000\n49903 74810\n18432 27692\n3160 4768\n58579 87861\n28872 43307\n48163 72173\n20007 30082\n84673 100000\n21691 32581\n26554 39835\n19813 29791\n30984 46508\n4179 6292\n6895 10364\n97542 100000\n64122 96167\n37691 56517\n36785 55170\n67822 100000\n48129 72120\n63690 95510\n61711 92565\n60691 91042\n96370 100000\n41650 62472\n46863 70240\n91453 100000\n36887 55310\n55974 83943\n30425 45639\n75916 100000\n87390 100000\n21009 31587\n60382 90588\n76395 100000\n89814 100000\n91203 100000\n63524 95269\n58649 87965\n86419 100000\n83111 100000\n3944 5936\n60371 90573\n20162 30310\n32580 48868\n47104 70604\n51587 77309\n16504 24822\n23182 34792\n60267 90410\n67709 100000\n47010 70466\n15620 23503\n23756 35643\n17180 25822\n21174 31823\n10731 16094\n14512 21815\n25875 38821\n41154 61722\n31770 47671\n1526 2310\n90244 100000\n69156 100000\n9940 14924\n26701 40047\n14151 21281\n21203 31867\n56153 84214\n87829 100000\n95994 100000\n71817 100000\n58968 88447\n34628 51933\n38804 58185\n22679 34043\n85654 100000\n76568 100000\n11329 17005\n90939 100000\n77435 100000\n77717 100000\n35429 53128\n69598 100000\n54690 81988\n29649 44457\n64007 95989\n40976 61452\n27465 41187\n1680 2531\n29352 44033\n82912 100000\n32595 48890\n94211 100000\n79622 100000\n44214 66309\n60628 90947\n95294 100000\n51228 76801\n66159 99259\n17588 26426\n36931 55375\n39082 58584\n4082 6140\n73100 100000\n82848 100000\n45373 68055\n7637 11476\n77723 100000\n41720 62581\n79478 100000\n60525 90797\n38378 57550\n55205 82786\n40362 60521\n19281 28980\n70313 100000\n23902 35867\n15472 23284\n41797 62701\n95627 100000\n98388 100000\n87331 100000\n23534 35309\n50307 75414\n59691 89556\n41367 62050\n63706 95533\n20544 30867\n85169 100000\n41532 62294\n85361 100000\n65837 98766\n72286 100000\n55227 82818\n65007 97501\n467 716\n10473 15714\n50233 75300\n91768 100000\n12795 19199\n99861 100000\n80391 100000\n56758 85118\n88582 100000\n53213 79763\n58858 88277\n22127 33231\n54338 81444\n75179 100000\n24277 36432\n42363 63541\n3920 5902\n50861 76251\n44632 66938\n73048 100000\n48528 72728\n33112 49656\n46707 70012\n73517 100000\n97206 100000\n47785 71613\n58418 87628\n84148 100000\n40051 60052\n95724 100000\n57822 86719\n34222 51314\n63837 95729\n50554 75785\n25625 38435\n80973 100000\n24008 36030\n64660 96979\n41229 61839\n47891 71762\n73811 100000\n89595 100000\n24664 37002\n16941 25462\n29551 44315\n18915 28444\n80538 100000\n26088 39143\n57423 86128\n51835 77686\n74295 100000\n4379 6594\n69886 100000\n75229 100000\n25153 37750\n84161 100000\n49303 73894\n77964 100000\n57643 86454\n50767 76109\n12960 19451\n83139 100000\n21840 32812\n43144 64713\n47558 71271\n72756 100000\n23213 34840\n42115 63168\n13202 19832\n42690 64022\n53049 79508\n41476 62210\n36965 55427\n12672 19021\n13692 20580\n68447 100000\n23740 35621\n71370 100000\n15261 22963\n39853 59755\n62568 93866\n55432 83123\n28106 42150\n39958 59910\n83135 100000\n67 103\n47958 71868\n94747 100000\n49890 74792\n51898 77778\n35239 52846\n51283 76877\n70625 100000\n23014 34528\n91569 100000\n4236 6375\n48858 73233\n68669 100000\n34730 52087\n1661 2507\n23834 35760\n60024 90060\n33966 50934\n41842 62773\n39888 59805\n46684 69979\n49945 74867\n111 172\n12757 19145\n21695 32588\n65546 98322\n67187 100000\n82551 100000\n831 1264\n75399 100000\n29222 43824\n37789 56667\n10048 15080\n14262 21443\n6896 10366\n88636 100000\n88075 100000\n51600 77331\n83839 100000\n30467 45704\n80736 100000\n74127 100000\n37404 56081\n38261 57378\n7311 10990\n88071 100000\n1566 2370\n91353 100000\n79026 100000\n49120 73624\n16638 25019\n62162 93243\n54956 82394\n23599 35410\n54103 81088\n11439 17171\n81293 100000\n69079 100000\n76468 100000\n26709 40060\n45413 68112\n63031 94556\n28571 42848\n93502 100000\n30498 45750\n65197 97784\n6352 9572\n57385 86076\n33679 50502\n71813 100000\n6987 10505\n31517 47288\n30169 45245\n14331 21549\n97240 100000\n92165 100000\n97531 100000\n64286 96417\n65752 98637\n24066 36114\n44718 67068\n48236 72280\n60756 91143\n21279 31984\n72869 100000\n13242 19889\n65927 98904\n16711 25128\n48882 73268\n26055 39092\n22974 34474\n78786 100000\n82602 100000\n53588 80314\n58018 87011\n39203 58767\n30782 46196\n54762 82101\n99396 100000\n76813 100000\n3268 4932\n39211 58781\n81454 100000\n13642 20502\n71998 100000\n55094 82617\n63401 95085\n51209 76774\n76143 100000\n29580 44353\n18648 28028\n37150 55701\n99318 100000\n46740 70063\n25718 38578\n50312 75422\n58818 88219\n41670 62502\n43390 65089\n4557 6859\n91865 100000\n63554 95308\n32151 48239\n44127 66182\n34384 51565\n66107 99179\n58507 87758\n9284 13928\n13657 20526\n44050 66068\n86719 100000\n86418 100000\n12088 18146\n27192 40763\n96125 100000\n87560 100000\n12090 18150\n89391 100000\n29365 44051\n67687 100000\n94712 100000\n19959 30009\n31733 47618\n80918 100000\n45230 67838\n9094 13631\n90351 100000\n83046 100000\n11215 16829\n11564 17358\n29223 43825\n43962 65938\n25413 38129\n96089 100000\n14052 21130\n50078 75061\n33060 49581\n29236 43843\n4421 6656\n67199 100000\n53423 80080\n72427 100000\n21806 32761\n91458 100000\n41393 62087\n31254 46901\n4769 7184\n16685 25088\n40881 61310\n93035 100000\n2858 4314\n72688 100000\n98376 100000\n59205 88802\n88812 100000\n86834 100000\n27220 40805\n67350 100000\n26204 39313\n86576 100000\n47386 71029\n55888 83814\n97072 100000\n15215 22890\n91770 100000\n43548 65326\n21822 32786\n89465 100000\n16019 24086\n94223 100000\n32162 48254\n1762 2653\n19028 28611\n83759 100000\n9234 13852\n23123 34704\n63390 95069\n5615 8441\n53497 80183\n55617 83416\n16851 25332\n14328 21544\n1646 2483\n47675 71450\n71997 100000\n3711 5588\n7547 11343\n60869 91314\n89833 100000\n16007 24068\n78877 100000\n34394 51580\n23730 35606\n3256 4909\n7957 11953\n2457 3701\n42009 63015\n34250 51355\n68534 100000\n71094 100000\n27794 41683\n64914 97360\n78882 100000\n78253 100000\n63508 95245\n1405 2124\n15132 22775\n29288 43925\n86104 100000\n17435 26204\n68960 100000\n19608 29483\n52759 79070\n2023 3042\n35251 52864\n65407 98114\n29086 43620\n24531 36806\n6954 10452\n64014 96000\n81559 100000\n34631 51937\n98122 100000\n31408 47123\n40242 60344\n23194 34808\n45970 68927\n51121 76640\n22958 34451\n83645 100000\n23734 35611\n27616 41409\n26571 39864\n78450 100000\n24123 36205\n45015 67509\n98494 100000\n86174 100000\n57466 86194\n79587 100000\n94827 100000\n30101 45137\n83027 100000\n37712 56544\n96793 100000\n79721 100000\n61651 92478\n78452 100000\n41153 61720\n62801 94216\n38016 57006\n91864 100000\n28192 42276\n92807 100000\n57816 86711\n37952 56909\n43057 64574\n95162 100000\n6857 10306\n57973 86942\n42313 63466\n88132 100000\n91789 100000\n12929 19405\n3519 5301\n79166 100000\n26053 39088\n17115 25713\n23869 35813\n4679 7045\n590 906\n27477 41206\n37274 55893\n29316 43973\n64264 96387\n96821 100000\n21818 32781\n62083 93127\n69226 100000\n73820 100000\n89227 100000\n88790 100000\n36246 54341\n73372 100000\n25380 38081\n78776 100000\n72938 100000\n42100 63147\n29926 44876\n54937 82367\n60112 90195\n59791 89710\n1137 1720\n7074 10638\n5701 8569\n88377 100000\n46303 69422\n94689 100000\n35633 53425\n8841 13268\n44621 66921\n64921 97371\n9786 14687\n80755 100000\n18907 28431\n47183 70727\n63315 94961\n60577 90872\n70220 100000\n49930 74848\n63563 95321\n36871 55288\n26596 39900\n13860 20836\n93742 100000\n81255 100000\n80907 100000\n83462 100000\n63881 95799\n2573 3880\n49826 74700\n84268 100000\n38567 57833\n12644 18974\n90918 100000\n86326 100000\n71082 100000\n33745 50602\n9702 14557\n84669 100000\n14921 22445\n11484 17237\n23142 34732\n45932 68873\n93486 100000\n33894 50830\n85275 100000\n10147 15232\n43159 64732\n92290 100000\n26752 40119\n57155 85714\n55306 82939\n86619 100000\n62761 94156\n56607 84902\n83040 100000\n96013 100000\n87035 100000\n69426 100000\n25992 38993\n510 782\n98862 100000\n3739 5632\n5923 8901\n70889 100000\n91862 100000\n46301 69418\n17711 26611\n18438 27698\n6165 9281\n48401 72529\n63051 94587\n291 446\n8355 12545\n37914 56850\n44870 67293\n37185 55754\n21630 32499\n84192 100000\n41809 62720\n50994 76444\n52930 79329\n48478 72651\n40971 61445\n79921 100000\n35303 52937\n28955 43436\n55548 83309\n121 187\n20493 30800\n27678 41499\n63202 94798\n15307 23033\n26776 40157\n99888 100000\n19678 29586\n26441 39669\n87033 100000\n56646 84960\n31021 46561\n54166 81188\n95543 100000\n98753 100000\n52167 78183\n47837 71684\n21971 32999\n87710 100000\n71944 100000\n82067 100000\n75376 100000\n84849 100000\n57135 85684\n30504 45760\n10296 15456\n73053 100000\n38298 57434\n79130 100000\n16263 24452\n75173 100000\n58264 87389\n47079 70571\n57327 85984\n65017 97514\n5137 7729\n58727 88083\n30910 46389\n6748 10148\n19977 30034\n67144 100000\n98456 100000\n66064 99114\n92127 100000\n22131 33238\n4517 6798\n62502 93769\n28401 42592\n68757 100000\n20816 31293\n83523 100000\n20512 30825\n16012 24075\n21972 33000\n96627 100000\n13907 20907\n42316 63471\n28784 43176\n82246 100000\n34442 51650\n23601 35413\n9655 14484\n49489 74173\n46815 70172\n73059 100000\n16291 24491\n47139 70660\n53945 80856\n50055 75029\n10395 15599\n55647 83456\n19779 29740\n91754 100000\n4047 6082\n80564 100000\n44260 66380\n44478 66700\n1298 1967\n45020 67516\n13966 20998\n80669 100000\n42906 64349\n47595 71328\n662 1009\n20893 31405\n90256 100000\n73601 100000\n12092 18153\n95774 100000\n97199 100000\n79718 100000\n8170 12266\n78571 100000\n70148 100000\n20013 30089\n56322 84475\n62748 94136\n23160 34759\n18004 27050\n63430 95130\n75950 100000\n52338 78435\n15834 23811\n77613 100000\n8055 12091\n61387 92090\n37637 56437\n9334 14005\n45579 68363\n91671 100000\n48272 72336\n70398 100000\n34373 51546\n77710 100000\n52636 78886\n48881 73267\n44654 66968\n59303 88950\n38519 57766\n16481 24785\n90463 100000\n49464 74136\n18250 27420\n44802 67191\n76302 100000\n93677 100000\n78779 100000\n14197 21347\n44480 66704\n40091 60113\n98534 100000\n47073 70561\n68899 100000\n50222 75284\n80818 100000\n29009 43511\n62751 94142\n37954 56911\n20486 30788\n8409 12623\n53134 79634\n95765 100000\n84263 100000\n5680 8535\n34651 51967\n52471 78637\n2044 3071\n86781 100000\n99481 100000\n98579 100000\n95289 100000\n3395 5126\n4478 6738\n75227 100000\n26515 39776\n49113 73615\n33854 50771\n60496 90754\n53287 79876\n39230 58811\n48634 72896\n38394 57574\n55098 82624\n32660 48988\n73462 100000\n76514 100000\n16616 24985\n60743 91120\n51794 77623\n10146 15230\n2146 3220\n55385 83056\n65639 98464\n36025 54013\n92076 100000\n90071 100000\n2566 3868\n65369 98057\n40738 61092\n70423 100000\n641 979\n84035 100000\n50590 75840\n25937 38916\n40504 60738\n88213 100000\n41938 62915\n49171 73701\n72407 100000\n33805 50699\n54561 81791\n23230 34863\n81476 100000\n72385 100000\n99559 100000\n97771 100000\n8337 12517\n64225 96327\n60331 90512\n38668 57983\n35975 53936\n38106 57140\n88105 100000\n31057 46613\n67317 100000\n39842 59737\n12404 18613\n34485 51718\n30548 45835\n3607 5429\n74168 100000\n35078 52612\n35780 53643\n82851 100000\n1702 2562\n67673 100000\n79535 100000\n11878 17829\n66372 99575\n63717 95548\n56220 84316\n20270 30470\n42317 63473\n11833 17763\n71501 100000\n97504 100000\n27617 41410\n43580 65371\n30022 45020\n61329 92002\n11683 17539\n60530 90805\n4368 6578\n17151 25773\n19576 29435\n11549 17335\n45611 68410\n33474 50193\n36376 54546\n72989 100000\n29490 44229\n40843 61255\n97833 100000\n6568 9878\n76597 100000\n78134 100000\n40600 60885\n76344 100000\n91401 100000\n30955 46460\n49448 74113\n97756 100000\n89713 100000\n12226 18356\n44682 67009\n59394 89084\n63970 95925\n11820 17743\n83970 100000\n9238 13856\n37021 55512\n72944 100000\n43146 64715\n90076 100000\n65437 98156\n57821 86718\n26000 39006\n49608 74360\n44733 67090\n6126 9218\n12266 18412\n71599 100000\n59772 89684\n56320 84472\n56103 84140\n28150 42212\n39515 59247\n13739 20653\n9293 13942\n78727 100000\n11011 16521\n11409 17122\n26847 40259\n79626 100000\n98905 100000\n94527 100000\n24700 37055\n74115 100000\n24719 37086\n73570 100000\n93322 100000\n54924 82348\n78007 100000\n9613 14425\n23256 34900\n52818 79159\n92985 100000\n1847 2781\n29632 44432\n36564 54820\n47219 70779\n39725 59566\n18424 27680\n42921 64374\n61771 92658\n60080 90144\n25222 37851\n52434 78585\n97455 100000\n68456 100000\n42804 64201\n45194 67782\n22737 34123\n56984 85462\n16347 24576\n10914 16374\n59863 89818\n5744 8628\n19572 29430\n26444 39672\n41110 61654\n27698 41531\n65579 98370\n76952 100000\n26215 39331\n34411 51603\n41995 62994\n17076 25655\n98269 100000\n64282 96412\n18195 27338\n32287 48438\n53230 79785\n95967 100000\n36864 55279\n24860 37301\n87346 100000\n21795 32745\n64291 96425\n8076 12124\n34199 51279\n87784 100000\n53455 80124\n13494 20274\n94242 100000\n84657 100000\n4420 6654\n80815 100000\n60700 91056\n19625 29508\n69078 100000\n29336 44008\n26638 39966\n67988 100000\n24757 37145\n56791 85169\n61364 92057\n33551 50311\n952 1446\n25781 38677\n95455 100000\n11988 17993\n1883 2835\n15945 23974\n84897 100000\n79371 100000\n53598 80329\n67205 100000\n34037 51036\n58893 88332\n50360 75498\n8438 12664\n86373 100000\n32286 48437\n48153 72160\n73932 100000\n88651 100000\n70654 100000\n32438 48666\n28993 43490\n5511 8278\n75073 100000\n37362 56018\n86527 100000\n65556 98337\n6603 9932\n8083 12134\n48518 72712\n33762 50627\n41425 62136\n14707 22124\n18521 27830\n28380 42564\n77411 100000\n16181 24326\n33830 50735\n3934 5923\n41224 61831\n7439 11176\n31752 47644\n44504 66747\n82643 100000\n44135 66198\n93515 100000\n44981 67453\n57508 86255\n33016 49515\n14330 21548\n43117 64670\n4412 6642\n26965 40425\n45028 67529\n21629 32497\n84495 100000\n53270 79846\n42203 63308\n91193 100000\n20509 30822\n22096 33183\n88446 100000\n65483 98221\n9266 13900\n32656 48982\n50527 75747\n51520 77211\n83816 100000\n49616 74370\n27126 40665\n18367 27594\n10857 16288\n37346 55993\n74864 100000\n52364 78477\n4747 7145\n55246 82845\n84869 100000\n35600 53375\n96800 100000\n12342 18524\n98974 100000\n35550 53303\n64520 96765\n32541 48816\n40577 60851\n4573 6886\n57726 86577\n73289 100000\n3334 5030\n97922 100000\n45362 68039\n53962 80882\n77755 100000\n48245 72293\n35066 52593\n76804 100000\n73602 100000\n49887 74789\n25025 37551\n96842 100000\n59910 89889\n9218 13824\n14973 22523\n77161 100000\n11327 17003\n48848 73216\n81856 100000\n22470 33729\n65914 98882\n45741 68600\n89976 100000\n83615 100000\n54702 82008\n94536 100000\n33752 50612\n86208 100000\n93407 100000\n16454 24741\n1145 1731\n68931 100000\n77769 100000\n26333 39511\n37328 55969\n3419 5160\n5726 8603\n87728 100000\n66164 99266\n79483 100000\n51124 76644\n33723 50569\n93549 100000\n31343 47031\n29349 44028\n67005 100000\n69969 100000\n83396 100000\n16946 25468\n57966 86931\n598 917\n68991 100000\n68921 100000\n49316 73915\n48577 72803\n13951 20976\n84132 100000\n72687 100000\n74833 100000\n16830 25299\n60591 90894\n24574 36867\n88987 100000\n10850 16278\n27704 41541\n69124 100000\n25619 38427\n78652 100000\n11128 16704\n48999 73442\n55125 82667\n91257 100000\n60515 90781\n22976 34476\n66318 99493\n20652 31035\n96249 100000\n50669 75961\n84858 100000\n17824 26782\n96612 100000\n25453 38191\n11338 17020\n82148 100000\n24991 37500\n75832 100000\n99672 100000\n29888 44820\n31951 47935\n60002 90027\n65372 98063\n34213 51300\n23407 35128\n75369 100000\n74364 100000\n96274 100000\n58990 88477\n66250 99392\n25492 38245\n21559 32403\n22352 33551\n3458 5217\n2534 3819\n12744 19126\n38541 57798\n27916 41868\n40488 60716\n62015 93032\n24573 36866\n46417 69587\n64646 96958\n63363 95034\n41008 61500\n25209 37831\n9847 14776\n87661 100000\n26552 39833\n35985 53949\n85381 100000\n88714 100000\n88308 100000\n28225 42325\n46718 70029\n8976 13463\n65161 97732\n12750 19136\n55964 83930\n243 374\n70631 100000\n25031 37560\n88734 100000\n45593 68385\n40385 60559\n40531 60776\n84832 100000\n84963 100000\n91713 100000\n89319 100000\n27375 41039\n10363 15551\n42794 64184\n22063 33134\n67864 100000\n29348 44026\n20216 30396\n4250 6397\n11069 16613\n51620 77360\n30274 45403\n61540 92310\n85156 100000\n93551 100000\n92061 100000\n80713 100000\n14531 21846\n55725 83575\n5308 7981\n14704 22120\n38397 57577\n49031 73490\n35223 52820\n76530 100000\n45658 68478\n79451 100000\n72802 100000\n70887 100000\n2763 4166\n22871 34322\n66014 99035\n22014 33064\n51303 76904\n71388 100000\n12774 19166\n19878 29885\n56705 85044\n2132 3198\n76396 100000\n68328 100000\n99133 100000\n29184 43764\n94439 100000\n17036 25593\n78211 100000\n90785 100000\n79210 100000\n37381 56048\n7556 11357\n62625 93952\n88686 100000\n68810 100000\n77325 100000\n10183 15285\n77862 100000\n40138 60186\n33328 49977\n79195 100000\n18856 28356\n4782 7201\n93645 100000\n49535 74249\n77202 100000\n29345 44022\n11406 17119\n59140 88704\n24103 36175\n81046 100000\n96584 100000\n70272 100000\n30897 46369\n38793 58172\n48575 72801\n87187 100000\n54334 81437\n38879 58293\n42661 63980\n51495 77176\n71834 100000\n33993 50972\n37763 56625\n21158 31799\n80533 100000\n96090 100000\n40045 60042\n78298 100000\n92503 100000\n3604 5425\n87615 100000\n47942 71845\n71679 100000\n42602 63900\n53236 79796\n6630 9976\n88061 100000\n61453 92186\n7016 10549\n68790 100000\n30919 46403\n18973 28531\n11428 17153\n37520 56256\n70812 100000\n65648 98478\n35700 53524\n92188 100000\n95226 100000\n56209 84299\n16490 24799\n6136 9233\n32041 48072\n37069 55582\n68334 100000\n27903 41849\n44534 66790\n56562 84836\n87071 100000\n53408 80053\n23062 34611\n44593 66878\n14309 21513\n33464 50179\n71385 100000\n5256 7901\n51274 76865\n88657 100000\n43944 65911\n96201 100000\n56792 85171\n22047 33111\n79123 100000\n57540 86301\n9023 13530\n60520 90789\n27885 41824\n89755 100000\n74722 100000\n15440 23236\n9304 13960\n1124 1697\n96289 100000\n6536 9834\n24939 37422\n19814 29792\n90985 100000\n6431 9687\n80336 100000\n14774 22228\n64817 97213\n21451 32243\n31689 47550\n88943 100000\n18597 27950\n61924 92896\n65096 97638\n5928 8909\n73826 100000\n73552 100000\n3161 4770\n32040 48071\n8143 12228\n3827 5761\n23481 35232\n24215 36337\n71167 100000\n36732 55085\n81848 100000\n6215 9359\n2066 3105\n45088 67626\n40668 60983\n45873 68791\n28985 43479\n56896 85324\n16608 24974\n96764 100000\n41301 61953\n41657 62483\n99512 100000\n55171 82736\n9461 14186\n24953 37442\n11527 17303\n5301 7971\n55762 83635\n38175 57250\n80853 100000\n6219 9364\n84769 100000\n53997 80931\n69972 100000\n14825 22304\n9170 13748\n13545 20351\n62678 94033\n10520 15780\n14911 22430\n90695 100000\n37144 55692\n29 45\n83943 100000\n28171 42247\n39373 59032\n10188 15293\n18077 27160\n5971 8977\n95713 100000\n80115 100000\n69602 100000\n92320 100000\n29673 44494\n69312 100000\n3511 5290\n69793 100000\n36099 54120\n84299 100000\n51322 76933\n59062 88584\n87629 100000\n24616 36926\n49762 74601\n41881 62832\n99065 100000\n19052 28644\n38864 58272\n49696 74496\n81766 100000\n71725 100000\n2703 4069\n47988 71917\n37557 56310\n44673 66994\n97180 100000\n43447 65177\n37365 56022\n90865 100000\n21064 31663\n87794 100000\n64374 96547\n42953 64420\n55796 83683\n10076 15123\n88399 100000\n70673 100000\n92557 100000\n56277 84404\n87364 100000\n20355 30601\n55206 82788\n1225 1856\n2043 3069\n33327 49975\n82884 100000\n22292 33465\n59258 88885\n70600 100000\n69343 100000\n67620 100000\n69394 100000\n38443 57650\n38634 57930\n3815 5744\n14571 21906\n9371 14060\n98774 100000\n98155 100000\n83573 100000\n78884 100000\n25195 37812\n10041 15069\n36768 55143\n9190 13778\n19864 29866\n95860 100000\n19516 29345\n17207 25861\n46477 69673\n34719 52071\n75385 100000\n22211 33354\n11633 17460\n56962 85428\n36619 54911\n96736 100000\n1911 2874\n41506 62256\n4176 6288\n68191 100000\n6013 9040\n28728 43089\n12406 18616\n93560 100000\n29723 44568\n11206 16816\n87517 100000\n2545 3834\n58712 88061\n22161 33280\n69563 100000\n60648 90979\n21720 32627\n59756 89661\n93255 100000\n17000 25543\n33042 49554\n4666 7024\n8590 12888\n34344 51498\n92575 100000\n26775 40155\n90964 100000\n87844 100000\n11358 17046\n3049 4600\n86557 100000\n25321 37993\n44014 66016\n49223 73775\n97273 100000\n60730 91098\n45 70\n88980 100000\n26867 40286\n29545 44305\n83721 100000\n43947 65915\n62615 93938\n40253 60359\n97218 100000\n55352 83006\n21230 31911\n62780 94186\n93769 100000\n70780 100000\n86192 100000\n80700 100000\n64256 96375\n76735 100000\n60279 90430\n62508 93779\n82867 100000\n74550 100000\n99668 100000\n68201 100000\n62695 94056\n1228 1860\n2998 4527\n14232 21399\n13504 20289\n82491 100000\n63804 95675\n89796 100000\n38192 57274\n42024 63036\n8782 13175\n16543 24875\n80152 100000\n93442 100000\n29381 44075\n61640 92462\n28714 43066\n82031 100000\n84556 100000\n9467 14195\n18108 27204\n78431 100000\n39603 59384\n25965 38956\n10848 16274\n89493 100000\n45133 67690\n34835 52248\n86606 100000\n7000 10524\n32642 48960\n95429 100000\n90504 100000\n62377 93583\n44177 66258\n7631 11468\n37807 56692\n46663 69950\n91780 100000\n10758 16135\n53914 80809\n89983 100000\n19649 29542\n47839 71687\n53045 79501\n71129 100000\n8200 12313\n1657 2500\n2466 3715\n54128 81129\n31039 46591\n40252 60358\n16874 25363\n12150 18237\n77985 100000\n75953 100000\n16775 25216\n75580 100000\n23488 35241\n50047 75017\n78892 100000\n25798 38706\n33195 49780\n44155 66224\n54841 82224\n70515 100000\n41680 62516\n61185 91786\n62319 93491\n89961 100000\n5905 8877\n21942 32960\n65675 98518\n68816 100000\n89445 100000\n71752 100000\n33358 50017\n83490 100000\n96989 100000\n90180 100000\n95349 100000\n52218 78261\n55606 83398\n29755 44614\n77124 100000\n70578 100000\n81257 100000\n15875 23871\n73112 100000\n45117 67666\n40390 60565\n22326 33514\n95333 100000\n4191 6309\n62723 94098\n81558 100000\n34886 52330\n39255 58852\n58815 88215\n97865 100000\n35218 52814\n92156 100000\n55891 83818\n17147 25767\n70531 100000\n48456 72616\n69014 100000\n21970 32997\n98559 100000\n99464 100000\n20268 30468\n70544 100000\n16345 24573\n43808 65706\n34497 51737\n16825 25293\n49212 73761\n25501 38259\n13476 20246\n8953 13430\n27531 41285\n2105 3159\n49175 73707\n2989 4514\n37675 56495\n73595 100000\n84752 100000\n1008 1528\n80303 100000\n65909 98876\n85748 100000\n17238 25909\n9424 14132\n57792 86676\n4926 7410\n16059 24146\n6322 9523\n31397 47108\n52468 78634\n48459 72620\n41284 61926\n43482 65227\n92848 100000\n46384 69538\n92524 100000\n81176 100000\n35746 53591\n14123 21238\n53545 80255\n30773 46182\n2704 4071\n13714 20615\n20693 31098\n97294 100000\n4385 6602\n49112 73613\n89331 100000\n72927 100000\n982 1490\n98845 100000\n87655 100000\n52556 78765\n52061 78032\n73216 100000\n17822 26779\n42709 64051\n64171 96245\n53852 80712\n37854 56759\n54193 81224\n85300 100000\n53666 80432\n72011 100000\n435 664\n24975 37476\n1335 2025\n10182 15283\n77317 100000\n18631 28000\n77402 100000\n70098 100000\n56514 84763\n3264 4924\n65740 98617\n4855 7300\n30850 46294\n68977 100000\n74791 100000\n32761 49140\n93336 100000\n56342 84502\n34017 51008\n30822 46254\n23359 35056\n71793 100000\n78868 100000\n87600 100000\n48523 72720\n57591 86375\n53173 79698\n13990 21031\n40814 61215\n37267 55882\n47397 71041\n95849 100000\n9751 14632\n30148 45213\n14920 22444\n9826 14744\n63728 95564\n58390 87588\n50969 76409\n98024 100000\n77640 100000\n8886 13332\n71868 100000\n66080 99139\n44356 66525\n44972 67439\n17086 25671\n31156 46757\n33577 50352\n80720 100000\n27862 41789\n38940 58375\n7048 10597\n47890 71761\n16587 24942\n91946 100000\n50015 74970\n13800 20743\n29402 44102\n96577 100000\n18067 27145\n3816 5745\n12549 18828\n8502 12755\n5743 8626\n97473 100000\n72442 100000\n41751 62629\n88172 100000\n84177 100000\n61826 92742\n51531 77228\n42557 63830\n9302 13957\n91392 100000\n8501 12753\n44163 66235\n93357 100000\n25614 38418\n19256 28945\n96178 100000\n35035 52548\n95260 100000\n24620 36932\n15361 23116\n8074 12121\n72955 100000\n69517 100000\n18414 27664\n43568 65355\n27395 41073\n5643 8482\n99408 100000\n95435 100000\n32335 48511\n32415 48633\n45487 68225\n23090 34656\n6634 9983\n38892 58310\n44969 67435\n28589 42875\n40627 60925\n70728 100000\n86485 100000\n62926 94399\n78471 100000\n22641 33987\n67074 100000\n4337 6529\n21470 32275\n44529 66783\n85008 100000\n17022 25574\n7794 11709\n59024 88528\n68537 100000\n83460 100000\n71689 100000\n60810 91224\n98114 100000\n77218 100000\n42503 63751\n24368 36571\n34698 52039\n79386 100000\n99626 100000\n65501 98250\n21310 32032\n58920 88372\n58317 87476\n51119 76637\n71191 100000\n9146 13711\n54473 81665\n14775 22230\n52092 78076\n37951 56908\n42253 63380\n36587 54861\n46104 69134\n52705 78988\n94998 100000\n44777 67154\n69869 100000\n21002 31573\n9706 14564\n37883 56803\n43588 65383\n39347 58994\n41683 62521\n50698 76003\n54084 81061\n20281 30488\n61018 91541\n39326 58965\n53034 79485\n70238 100000\n52597 78828\n16676 25075\n54316 81411\n33571 50342\n23312 34986\n39334 58975\n63462 95176\n28267 42389\n38785 58159\n91281 100000\n14325 21538\n68018 100000\n89363 100000\n64413 96606\n88788 100000\n72714 100000\n96488 100000\n69775 100000\n82897 100000\n30016 45009\n31012 46548\n63136 94712\n16801 25256\n40585 60862\n70464 100000\n19871 29876\n1996 3001\n53509 80204\n40010 59991\n58335 87505\n27466 41189\n21662 32540\n35940 53882\n90518 100000\n85541 100000\n47652 71416\n7903 11875\n31745 47635\n49433 74088\n20827 31309\n13959 20988\n1771 2666\n42703 64041\n27568 41337\n82398 100000\n17370 26112\n81455 100000\n83528 100000\n68087 100000\n65380 98074\n75412 100000\n11462 17204\n3898 5865\n47224 70786\n33810 50706\n9227 13840\n71083 100000\n49844 74726\n6307 9501\n30552 45841\n90019 100000\n16184 24331\n69047 100000\n74736 100000\n99331 100000\n61338 92017\n18325 27532\n19520 29350\n44424 66626\n51234 76809\n54210 81250\n81634 100000\n22603 33928\n73154 100000\n88661 100000\n83686 100000\n76075 100000\n78495 100000\n33204 49796\n173 264\n34371 51543\n74277 100000\n77384 100000\n51946 77853\n67463 100000\n35503 53234\n41866 62810\n27132 40676\n57091 85618\n15333 23073\n8748 13125\n13289 19953\n43395 65096\n54416 81575\n93913 100000\n67656 100000\n72864 100000\n78234 100000\n83591 100000\n63537 95285\n84493 100000\n40018 60003\n85099 100000\n99673 100000\n66471 99726\n61681 92523\n64328 96478\n8701 13056\n10266 15413\n4811 7242\n27174 40739\n54492 81692\n14832 22314\n39222 58799\n87419 100000\n75347 100000\n48941 73358\n20790 31249\n54206 81242\n91268 100000\n86552 100000\n78526 100000\n91267 100000\n50602 75856\n99223 100000\n12550 18830\n60763 91156\n85345 100000\n99696 100000\n82960 100000\n85270 100000\n87459 100000\n79272 100000\n13762 20685\n14671 22067\n53211 79759\n3139 4733\n92437 100000\n81617 100000\n36208 54281\n71342 100000\n88032 100000\n96828 100000\n18592 27941\n62988 94491\n48013 71950\n76798 100000\n71660 100000\n88712 100000\n6154 9260\n56107 84144\n67875 100000\n37620 56413\n62770 94170\n63967 95921\n39624 59416\n3037 4582\n72971 100000\n76423 100000\n77097 100000\n54228 81274\n66275 99431\n72029 100000\n99634 100000\n79119 100000\n1230 1864\n50691 75993\n25396 38104\n56777 85149\n29813 44710\n57256 85871\n42829 64236\n46092 69116\n60899 91363\n26303 39462\n7993 12003\n63809 95682\n88805 100000\n11341 17025\n82390 100000\n22844 34279\n30278 45408\n80959 100000\n1546 2341\n51767 77582\n78184 100000\n66463 99713\n89333 100000\n64025 96019\n82622 100000\n69004 100000\n89193 100000\n73760 100000\n95225 100000\n76589 100000\n97468 100000\n5162 7764\n50229 75294\n14609 21964\n97690 100000\n43834 65743\n57149 85706\n87974 100000\n37417 56102\n70861 100000\n14523 21833\n43823 65729\n14549 21874\n53975 80901\n99787 100000\n54213 81254\n55721 83570\n70111 100000\n41762 62647\n97562 100000\n70349 100000\n18769 28223\n98623 100000\n18147 27261\n91053 100000\n99979 100000\n94489 100000\n49777 74625\n35598 53373\n37473 56187\n3391 5120\n78449 100000\n22311 33495\n7398 11117\n87437 100000\n47102 70602\n48680 72963\n22193 33330\n50815 76179\n26408 39618\n42141 63209\n22683 34050\n51149 76681\n79369 100000\n69834 100000\n63144 94722\n29542 44302\n39904 59829\n57635 86443\n235 361\n21585 32439\n4002 6014\n62685 94041\n53179 79708\n54183 81211\n11062 16602\n16334 24558\n19762 29714\n28249 42361\n8459 12694\n57957 86918\n1861 2801\n30245 45359\n34057 51068\n68776 100000\n90473 100000\n198 304\n68657 100000\n59376 89060\n81184 100000\n73389 100000\n69919 100000\n94219 100000\n58410 87616\n26252 39389\n84471 100000\n31035 46584\n92049 100000\n89304 100000\n77013 100000\n12995 19509\n9515 14274\n92920 100000\n83622 100000\n94403 100000\n81948 100000\n79418 100000\n71479 100000\n17947 26964\n11732 17607\n70517 100000\n57933 86880\n11116 16687\n11417 17134\n38111 57146\n33094 49633\n2596 3915\n66370 99573\n4117 6198\n87883 100000\n13295 19962\n45682 68512\n2020 3038\n92868 100000\n32003 48019\n82047 100000\n69213 100000\n5285 7945\n10507 15764\n88759 100000\n51802 77635\n91320 100000\n43275 64910\n9972 14966\n84532 100000\n98608 100000\n29927 44878\n61612 92419\n77062 100000\n73523 100000\n20276 30481\n29229 43833\n17662 26538\n26461 39698\n36512 54744\n46926 70336\n10649 15972\n25402 38115\n62870 94320\n20095 30206\n68582 100000\n14747 22190\n42799 64193\n89949 100000\n62513 93788\n89744 100000\n38469 57687\n58566 87841\n48154 72161\n45494 68235\n3662 5516\n454 695\n25870 38812\n62473 93725\n98578 100000\n67935 100000\n99706 100000\n95394 100000\n27984 41969\n24493 36752\n44434 66641\n10999 16503\n89260 100000\n74333 100000\n24019 36045\n40611 60900\n84238 100000\n85721 100000\n72430 100000\n65747 98630\n12218 18346\n73226 100000\n61550 92326\n7320 11005\n65952 98942\n35522 53263\n95079 100000\n72101 100000\n42608 63908\n27510 41255\n44539 66796\n19647 29538\n58357 87539\n68641 100000\n43105 64650\n85660 100000\n67825 100000\n82285 100000\n93868 100000\n44180 66263\n41019 61516\n36575 54839\n3910 5888\n46636 69908\n92261 100000\n50579 75823\n90361 100000\n41162 61733\n85601 100000\n51445 77110\n35227 52826\n85587 100000\n45553 68324\n93921 100000\n63744 95584\n41300 61951\n62288 93440\n75065 100000\n33876 50805\n80792 100000\n77813 100000\n25852 38786\n72217 100000\n37312 55945\n23819 35736\n50130 75141\n98999 100000\n29574 44344\n23422 35149\n90492 100000\n73108 100000\n89415 100000\n29247 43862\n70144 100000\n92800 100000\n96202 100000\n23506 35271\n11130 16707\n74095 100000\n1764 2655\n19691 29606\n46348 69488\n6047 9095\n78201 100000\n22591 33910\n14414 21669\n65504 98255\n75823 100000\n64011 95995\n73814 100000\n85166 100000\n43080 64609\n39912 59840\n85280 100000\n79222 100000\n4592 6914\n28760 43142\n50009 74962\n16926 25439\n2436 3666\n48874 73257\n56735 85084\n16911 25417\n28234 42340\n20285 30493\n7309 10986\n85000 100000\n12057 18101\n81906 100000\n18114 27214\n33896 50833\n51738 77537\n14372 21607\n4063 6110\n80002 100000\n58459 87695\n50242 75314\n50975 76419\n94078 100000\n85577 100000\n76239 100000\n73217 100000\n46011 68992\n70951 100000\n7730 11614\n43141 64709\n81632 100000\n72464 100000\n50650 75934\n32829 49243\n73456 100000\n15231 22915\n81753 100000\n54995 82459\n16708 25123\n13052 19598\n40474 60696\n3794 5717\n58733 88092\n27198 40771\n43530 65299\n33325 49971\n69287 100000\n97023 100000\n14339 21562\n73253 100000\n82945 100000\n25676 38509\n93178 100000\n65693 98544\n27734 41593\n75671 100000\n79883 100000\n50246 75321\n2097 3147\n20983 31543\n63901 95830\n90915 100000\n76567 100000\n35421 53116\n74811 100000\n88623 100000\n54112 81103\n3349 5055\n97171 100000\n73492 100000\n8100 12162\n66691 100000\n34527 51782\n78477 100000\n39042 58528\n80514 100000\n18251 27422\n38510 57754\n19921 29951\n32570 48858\n38846 58245\n1503 2275\n33761 50626\n47378 71017\n38661 57972\n55158 82716\n89093 100000\n72920 100000\n73832 100000\n21025 31609\n87117 100000\n26038 39064\n44386 66571\n80980 100000\n23531 35306\n25674 38507\n65084 97621\n11208 16819\n87965 100000\n8282 12431\n709 1082\n78154 100000\n11706 17576\n69278 100000\n90534 100000\n58471 87710\n30102 45139\n62865 94313\n88136 100000\n41055 61576\n4445 6693\n72337 100000\n35856 53760\n32963 49439\n51783 77605\n79793 100000\n69094 100000\n68072 100000\n39898 59820\n68817 100000\n76433 100000\n41352 62026\n37894 56819\n22518 33799\n86004 100000\n56007 83996\n50173 75207\n50830 76203\n42414 63620\n88650 100000\n45502 68246\n6679 10046\n16471 24769\n92789 100000\n66513 99786\n40808 61205\n6065 9125\n8628 12947\n49836 74714\n92533 100000\n93329 100000\n56761 85124\n61255 91885\n72107 100000\n61742 92613\n69222 100000\n29771 44641\n43369 65056\n4638 6983\n13234 19877\n60604 90912\n97645 100000\n14053 21132\n75958 100000\n20242 30430\n9618 14432\n18214 27367\n79693 100000\n48158 72165\n31041 46594\n38564 57830\n51207 76770\n2979 4498\n67580 100000\n60834 91261\n65507 98259\n12951 19440\n12275 18424\n88365 100000\n2040 3065\n38838 58232\n56803 85189\n78728 100000\n44355 66524\n54203 81238\n46023 69012\n95245 100000\n98775 100000\n16235 24411\n31271 46925\n75660 100000\n98791 100000\n46049 69056\n30930 46421\n37062 55571\n84788 100000\n34532 51790\n36304 54432\n92172 100000\n47519 71211\n45891 68816\n35194 52783\n59855 89806\n34467 51692\n33307 49943\n25920 38891\n15329 23068\n14830 22310\n51831 77680\n16957 25481\n32119 48195\n17682 26567\n84183 100000\n89188 100000\n24055 36098\n64511 96749\n65111 97658\n76741 100000\n78649 100000\n30230 45336\n72605 100000\n49847 74731\n58983 88467\n501 768\n68454 100000\n32522 48790\n46071 69087\n80143 100000\n87768 100000\n41550 62324\n65513 98269\n30755 46151\n75881 100000\n29237 43845\n36445 54645\n93394 100000\n20715 31136\n9084 13616\n86427 100000\n31747 47638\n35174 52756\n33240 49846\n35424 53121\n82750 100000\n17987 27020\n94820 100000\n34751 52122\n44900 67341\n26854 40268\n80105 100000\n63810 95684\n79899 100000\n64624 96925\n93844 100000\n30663 46010\n6882 10344\n38984 58441\n54663 81948\n33958 50923\n63786 95651\n89183 100000\n31155 46756\n6275 9449\n24291 36452\n98415 100000\n89476 100000\n52640 78891\n24913 37378\n26299 39457\n68007 100000\n91480 100000\n98207 100000\n48047 71996\n79136 100000\n71556 100000\n65382 98076\n66590 99895\n26627 39949\n30325 45475\n43058 64575\n53370 80000\n66327 99505\n43047 64559\n91263 100000\n85238 100000\n2833 4276\n82426 100000\n22171 33297\n43039 64545\n32421 48642\n13704 20600\n26140 39219\n46507 69717\n45310 67962\n5476 8232\n47964 71877\n5959 8958\n33580 50356\n42685 64014\n54769 82112\n53462 80136\n54107 81095\n38827 58214\n24579 36876\n74949 100000\n62538 93824\n74002 100000\n36243 54337\n11324 16999\n64967 97443\n27847 41766\n20847 31335\n35155 52724\n23701 35559\n53449 80114\n18984 28548\n16790 25238\n38355 57515\n47417 71068\n10746 16117\n13213 19847\n60099 90176\n25144 37735\n30490 45740\n88304 100000\n31703 47570\n36433 54627\n57447 86166\n38296 57432\n41087 61623\n58834 88242\n45501 68244\n94344 100000\n37794 56675\n39080 58580\n65919 98892\n26710 40061\n86300 100000\n66385 99594\n50089 75076\n96912 100000\n28636 42949\n47796 71628\n23159 34758\n77655 100000\n91597 100000\n82659 100000\n20057 30155\n50539 75764\n11022 16541\n93540 100000\n60905 91370\n80908 100000\n85179 100000\n90941 100000\n8792 13190\n15129 22770\n89721 100000\n28641 42957\n11762 17655\n97804 100000\n60118 90203\n79403 100000\n62829 94261\n35229 52830\n48589 72825\n52860 79226\n52349 78455\n7659 11510\n31860 47802\n3119 4704\n53381 80015\n8225 12351\n99038 100000\n82629 100000\n45961 68916\n88596 100000\n20530 30850\n95023 100000\n60367 90567\n97557 100000\n26688 40032\n33654 50466\n79825 100000\n20443 30723\n34354 51516\n95364 100000\n47005 70457\n22285 33454\n44065 66088\n22296 33470\n91712 100000\n1170 1772\n86588 100000\n75097 100000\n17885 26869\n73937 100000\n23714 35578\n79235 100000\n28492 42735\n21294 32006\n30658 46002\n76381 100000\n44238 66346\n22924 34400\n82950 100000\n26694 40039\n66765 100000\n65349 98027\n81533 100000\n12136 18215\n55746 83609\n32714 49076\n67071 100000\n71130 100000\n29791 44670\n63840 95734\n13557 20368\n53457 80128\n27958 41934\n96905 100000\n29324 43986\n54860 82250\n33664 50482\n68860 100000\n109 168\n90589 100000\n48103 72083\n60861 91302\n51381 77019\n51726 77519\n62934 94411\n48868 73248\n88125 100000\n70681 100000\n23001 34511\n36502 54729\n82557 100000\n75188 100000\n69407 100000\n86382 100000\n53237 79797\n38487 57717\n12465 18705\n19551 29396\n11823 17748\n12346 18530\n23733 35610\n9858 14794\n60938 91418\n34214 51302\n72986 100000\n49851 74737\n73490 100000\n6014 9041\n48338 72436\n42754 64125\n44196 66284\n26577 39871\n26880 40304\n65971 98968\n32719 49082\n85101 100000\n54687 81983\n42296 63442\n41454 62178\n92481 100000\n48 75\n19282 28982\n31234 46875\n89025 100000\n42254 63382\n50855 76240\n22310 33494\n12186 18295\n75865 100000\n62842 94282\n12210 18335\n54199 81232\n69395 100000\n31828 47756\n1823 2741\n52150 78158\n72347 100000\n26949 40402\n38066 57080\n80154 100000\n1212 1836\n13123 19706\n59943 89938\n56317 84468\n78415 100000\n31789 47699\n69607 100000\n48473 72641\n344 529\n68180 100000\n92717 100000\n60635 90957\n86786 100000\n24146 36238\n32942 49410\n1501 2272\n60761 91152\n27157 40714\n44721 67072\n1322 2005\n24192 36305\n31524 47298\n92057 100000\n77511 100000\n48194 72217\n80630 100000\n45768 68634\n75642 100000\n17862 26836\n64230 96335\n40270 60385\n94167 100000\n90816 100000\n27222 40808\n94786 100000\n18395 27637\n26839 40247\n21097 31713\n15041 22628\n71499 100000\n47939 71839\n10610 15914\n38693 58023\n3992 5999\n1315 1992\n94094 100000\n68481 100000\n8506 12761\n39918 59848\n81684 100000\n96933 100000\n6888 10354\n57085 85612\n50227 75292\n7310 10988\n9057 13577\n78796 100000\n6270 9441\n70084 100000\n49680 74471\n58738 88102\n83145 100000\n7885 11844\n44932 67385\n68311 100000\n13514 20305\n84533 100000\n15325 23061\n9950 14938\n15589 23455\n90281 100000\n20616 30981\n12106 18170\n50954 76388\n75338 100000\n67918 100000\n33082 49614\n99853 100000\n38555 57819\n48405 72535\n88944 100000\n10554 15830\n21313 32035\n60807 91219\n33975 50946\n99479 100000\n56825 85223\n70522 100000\n48590 72826\n18716 28140\n19382 29141\n9455 14178\n41876 62825\n5357 8056\n56883 85306\n54388 81531\n18127 27231\n88456 100000\n32212 48326\n1708 2571\n570 873\n41207 61804\n45097 67636\n18666 28057\n78148 100000\n64247 96360\n37769 56634\n87311 100000\n89063 100000\n51583 77304\n53866 80732\n77464 100000\n39636 59435\n88339 100000\n67986 100000\n38803 58184\n83103 100000\n4514 6793\n63894 95818\n15854 23838\n4706 7082\n1798 2707\n46581 69826\n81641 100000\n61871 92819\n7736 11623\n29582 44357\n41978 62971\n73879 100000\n56875 85293\n68715 100000\n77642 100000\n17636 26495\n85391 100000\n73498 100000\n18460 27732\n73248 100000\n53576 80298\n47865 71725\n98493 100000\n64949 97419\n82761 100000\n43419 65131\n14380 21620\n13575 20396\n3149 4748\n63523 95267\n12455 18690\n62344 93534\n54801 82161\n22277 33441\n52079 78059\n47692 71475\n17660 26534\n14045 21119\n97318 100000\n49105 73603\n71857 100000\n45491 68231\n62629 93959\n75317 100000\n67002 100000\n33812 50708\n67866 100000\n43604 65405\n22950 34438\n10866 16302\n78963 100000\n28056 42077\n47588 71315\n84209 100000\n86892 100000\n10627 15938\n92787 100000\n25578 38367\n74598 100000\n45017 67511\n45262 67889\n65779 98678\n68946 100000\n47930 71824\n69545 100000\n39650 59455\n49355 73972\n68914 100000\n61833 92756\n97320 100000\n6465 9731\n42797 64189\n54365 81489\n62081 93124\n63269 94900\n85439 100000\n46199 69268\n75208 100000\n54064 81032\n13711 20610\n93740 100000\n30566 45861\n64690 97027\n62523 93804\n31072 46635\n29612 44401\n16511 24830\n97149 100000\n48786 73122\n21698 32591\n79481 100000\n10038 15064\n37831 56726\n9006 13504\n23858 35798\n62337 93523\n43316 64974\n35145 52709\n82397 100000\n61297 91952\n67854 100000\n36718 55059\n23638 35464\n23617 35431\n1655 2497\n20661 31048\n39295 58914\n23086 34648\n53105 79591\n67104 100000\n98172 100000\n36277 54393\n44138 66202\n98971 100000\n75248 100000\n54466 81656\n4107 6181\n53024 79471\n37377 56043\n18682 28082\n10331 15506\n38909 58335\n33279 49902\n80880 100000\n69853 100000\n50702 76010\n83906 100000\n67447 100000\n54216 81259\n63626 95419\n63189 94783\n35033 52544\n52948 79356\n99262 100000\n45604 68400\n93235 100000\n220 337\n17663 26539\n8349 12536\n84872 100000\n32791 49185\n31851 47790\n29636 44439\n74043 100000\n43470 65212\n10278 15430\n98841 100000\n87626 100000\n75818 100000\n73055 100000\n71961 100000\n19457 29253\n90480 100000\n94214 100000\n20654 31037\n65638 98463\n6585 9905\n43000 64489\n30885 46352\n88200 100000\n85797 100000\n15862 23849\n98609 100000\n16473 24772\n23134 34721\n55040 82535\n72735 100000\n12656 18995\n15988 24037\n441 673\n78667 100000\n62389 93603\n52288 78363\n58199 87288\n16157 24291\n128 197\n30792 46213\n97198 100000\n63822 95706\n27801 41696\n30163 45235\n23847 35782\n94264 100000\n66032 99064\n87211 100000\n93830 100000\n94245 100000\n88565 100000\n82938 100000\n71046 100000\n50514 75728\n11601 17412\n16546 24879\n3701 5574\n74468 100000\n96164 100000\n77479 100000\n87254 100000\n50124 75131\n37713 56545\n70311 100000\n15338 23079\n25339 38020\n94050 100000\n73127 100000\n94021 100000\n79738 100000\n89345 100000\n44137 66201\n53857 80720\n38608 57894\n89514 100000\n46541 69769\n87420 100000\n24840 37272\n76795 100000\n73113 100000\n74695 100000\n95946 100000\n92876 100000\n89693 100000\n82790 100000\n44954 67416\n30137 45194\n19724 29656\n27853 41775\n51711 77495\n19519 29348\n13330 20018\n56080 84103\n99893 100000\n60275 90423\n79460 100000\n58478 87718\n4998 7517\n69084 100000\n55822 83716\n2350 3534\n94749 100000\n9695 14547\n55704 83543\n46886 70277\n81736 100000\n46470 69661\n42757 64128\n19049 28640\n28785 43178\n7136 10732\n9024 13532\n57939 86891\n7330 11019\n6162 9276\n20260 30457\n91748 100000\n51218 76788\n61404 92112\n50973 76415\n46094 69118\n20472 30767\n3398 5131\n41980 62974\n54100 81083\n4169 6275\n29439 44153\n46323 69453\n60845 91278\n21272 31975\n56877 85296\n4604 6930\n61598 92400\n24369 36573\n15214 22889\n28383 42569\n47329 70946\n58726 88082\n16824 25292\n24031 36064\n71107 100000\n89386 100000\n42058 63084\n89712 100000\n65059 97583\n29846 44755\n41007 61499\n36333 54478\n57774 86647\n40214 60304\n51176 76722\n72829 100000\n28295 42433\n55491 83217\n34665 51988\n92760 100000\n49279 73856\n38422 57616\n95661 100000\n272 418\n45670 68496\n55163 82723\n45347 68015\n33642 50449\n26366 39557\n68135 100000\n73012 100000\n64728 97081\n89094 100000\n70315 100000\n28885 43327\n89526 100000\n12899 19359\n94462 100000\n40584 60860\n45123 67676\n50766 76108\n72297 100000\n43517 65278\n50352 75485\n9252 13880\n69837 100000\n72047 100000\n7222 10862\n92363 100000\n95019 100000\n2944 4444\n80835 100000\n86747 100000\n21276 31981\n22806 34224\n43416 65126\n36938 55386\n64895 97328\n92836 100000\n15690 23604\n17097 25686\n75462 100000\n47849 71702\n76865 100000\n84809 100000\n75241 100000\n36224 54306\n95410 100000\n48439 72590\n2062 3101\n56948 85407\n13875 20860\n28522 42777\n70357 100000\n50464 75654\n45122 67674\n64941 97405\n58106 87148\n98530 100000\n96715 100000\n59142 88708\n14821 22299\n67456 100000\n30518 45785\n40177 60247\n82154 100000\n84867 100000\n99683 100000\n12696 19055\n78009 100000\n17961 26984\n79153 100000\n50550 75780\n66309 99482\n49485 74168\n76668 100000\n46169 69228\n11532 17310\n77714 100000\n3751 5652\n58970 88450\n1617 2438\n52322 78414\n58880 88311\n80520 100000\n90067 100000\n9726 14593\n98567 100000\n47031 70498\n10044 15074\n44419 66618\n66628 99953\n27216 40799\n64820 97217\n39565 59326\n32107 48176\n54234 81284\n60429 90659\n41684 62523\n24690 37040\n15912 23926\n89914 100000\n78890 100000\n6049 9099\n35834 53723\n90562 100000\n71330 100000\n80695 100000\n48671 72946\n94549 100000\n39966 59923\n25229 37861\n11642 17475\n27969 41949\n77775 100000\n89916 100000\n24020 36047\n31834 47766\n92627 100000\n33885 50819\n2908 4389\n2936 4430\n76649 100000\n5300 7970\n5711 8583\n12400 18609\n81033 100000\n67941 100000\n82289 100000\n97933 100000\n55096 82621\n57094 85623\n90739 100000\n92841 100000\n31609 47429\n52679 78953\n34608 51904\n82636 100000\n96381 100000\n2492 3754\n90983 100000\n95588 100000\n34126 51169\n83285 100000\n2940 4438\n66573 99869\n30289 45424\n52243 78293\n35497 53226\n86916 100000\n99625 100000\n76683 100000\n6513 9800\n3172 4787\n16840 25313\n85452 100000\n85880 100000\n36606 54890\n8661 12994\n87739 100000\n52604 78838\n20542 30864\n71537 100000\n68314 100000\n81976 100000\n50962 76398\n22643 33991\n67934 100000\n57037 85541\n82526 100000\n17111 25706\n99655 100000\n15108 22737\n18985 28550\n8545 12816\n93960 100000\n11333 17012\n55453 83156\n36948 55400\n66040 99076\n66842 100000\n65767 98659\n14112 21223\n91530 100000\n90508 100000\n23522 35295\n70246 100000\n67689 100000\n82419 100000\n15972 24013\n95275 100000\n80903 100000\n73521 100000\n96863 100000\n77751 100000\n48375 72493\n80668 100000\n16114 24227\n51526 77220\n18773 28228\n8593 12893\n7274 10938\n28616 42914\n99473 100000\n55172 82737\n19533 29367\n89185 100000\n47941 71843\n52977 79395\n70978 100000\n73853 100000\n9638 14459\n60617 90931\n31281 46939\n79537 100000\n26825 40227\n26877 40300\n66764 100000\n33578 50353\n23267 34917\n69488 100000\n6289 9472\n22425 33661\n11993 18001\n50905 76318\n52254 78310\n59189 88779\n96838 100000\n69912 100000\n60839 91269\n10242 15375\n77470 100000\n75269 100000\n830 1262\n66342 99529\n91941 100000\n5532 8312\n14675 22073\n2208 3317\n10853 16282\n84815 100000\n24877 37327\n25645 38468\n42421 63631\n36824 55223\n42635 63944\n64155 96220\n33129 49679\n11774 17674\n21166 31812\n76232 100000\n45566 68343\n88608 100000\n49514 74214\n93929 100000\n4608 6936\n42915 64362\n45751 68613\n23432 35163\n76123 100000\n42680 64007\n32014 48034\n87998 100000\n28996 43494\n4427 6666\n60607 90915\n72845 100000\n84199 100000\n37492 56214\n60827 91248\n17504 26303\n29548 44310\n66743 100000\n95300 100000\n18333 27544\n43352 65031\n37810 56697\n76485 100000\n93099 100000\n67184 100000\n51706 77488\n72021 100000\n94623 100000\n97232 100000\n9053 13571\n38725 58069\n92705 100000\n79568 100000\n44585 66866\n93926 100000\n24601 36906\n2026 3046\n4726 7114\n54648 81922\n5000 7520\n29820 44719\n89040 100000\n12426 18649\n18781 28240\n52271 78337\n77966 100000\n20227 30410\n35557 53312\n31972 47971\n77673 100000\n4288 6456\n64640 96950\n96441 100000\n3357 5068\n38105 57139\n55054 82556\n21413 32184\n80199 100000\n86906 100000\n14481 21773\n21548 32386\n89865 100000\n55000 82467\n21374 32125\n47844 71694\n79904 100000\n35159 52732\n49542 74260\n98012 100000\n68121 100000\n57618 86416\n95663 100000\n17706 26603\n30750 46144\n27923 41880\n32322 48488\n93091 100000\n76884 100000\n74035 100000\n83311 100000\n24140 36229\n71384 100000\n47957 71867\n58012 87002\n48832 73191\n24878 37328\n57136 85686\n30820 46251\n69123 100000\n40550 60807\n87627 100000\n77801 100000\n23262 34910\n93216 100000\n19704 29627\n45592 68384\n36093 54110\n61650 92477\n94170 100000\n14838 22324\n88936 100000\n14604 21956\n26648 39978\n1241 1880\n91028 100000\n50023 74982\n60419 90644\n65900 98865\n78045 100000\n99407 100000\n6485 9759\n71703 100000\n76871 100000\n11890 17849\n44709 67054\n33785 50666\n14321 21531\n50450 75632\n6720 10108\n90310 100000\n7940 11933\n91044 100000\n6497 9778\n20436 30714\n32786 49176\n23278 34933\n27569 41338\n62464 93713\n9752 14634\n33813 50709\n90324 100000\n26972 40434\n77416 100000\n88618 100000\n76096 100000\n1303 1975\n33166 49737\n42787 64172\n24447 36687\n6430 9686\n38901 58323\n6678 10045\n60794 91199\n19644 29533\n50261 75345\n62416 93641\n87321 100000\n91737 100000\n16102 24208\n4979 7491\n18569 27907\n53673 80441\n40847 61262\n28553 42822\n71891 100000\n33441 50145\n20433 30710\n18545 27869\n79553 100000\n1521 2304\n33344 49996\n53659 80423\n78512 100000\n64169 96242\n48234 72278\n2328 3503\n94724 100000\n41086 61621\n80123 100000\n87192 100000\n88393 100000\n26453 39686\n56129 84178\n52504 78687\n22427 33663\n66959 100000\n17519 26324\n26657 39991\n20564 30897\n19662 29561\n64688 97024\n57333 85992\n28034 42044\n70309 100000\n61462 92199\n96954 100000\n74812 100000\n38399 57581\n24847 37284\n91787 100000\n66722 100000\n7861 11808\n34424 51623\n49547 74268\n2241 3365\n29653 44462\n88749 100000\n43801 65696\n74378 100000\n5330 8013\n56816 85207\n96565 100000\n36974 55441\n38787 58162\n52861 79228\n70906 100000\n20677 31074\n87576 100000\n67867 100000\n32817 49223\n53379 80013\n74343 100000\n16784 25229\n1330 2018\n46316 69440\n87732 100000\n89925 100000\n65203 97796\n21821 32785\n80768 100000\n83198 100000\n35457 53172\n34593 51885\n59288 88929\n23818 35734\n41903 62864\n23968 35971\n29738 44592\n21859 32843\n23978 35988\n16728 25152\n55988 83963\n18099 27189\n50792 76146\n67782 100000\n95508 100000\n93055 100000\n8527 12792\n81076 100000\n47340 70961\n20149 30292\n88892 100000\n23235 34868\n66505 99775\n88041 100000\n83952 100000\n10793 16187\n49336 73944\n26458 39694\n76954 100000\n36909 55346\n98414 100000\n90129 100000\n39323 58959\n7872 11825\n63291 94928\n2586 3899\n70058 100000\n71866 100000\n75009 100000\n81854 100000\n41104 61645\n37093 55618\n5006 7529\n8759 13142\n4749 7148\n82411 100000\n15989 24039\n63669 95482\n87605 100000\n70506 100000\n53726 80522\n97658 100000\n26081 39132\n56769 85136\n36584 54856\n3732 5622\n98495 100000\n26610 39920\n19376 29132\n68836 100000\n48607 72853\n51836 77687\n79013 100000\n1426 2158\n74262 100000\n4954 7455\n22563 33869\n41588 62378\n74136 100000\n40871 61297\n2079 3121\n26060 39101\n17562 26388\n6137 9235\n59800 89723\n88856 100000\n4092 6155\n42981 64462\n41048 61564\n65082 97619\n53037 79491\n63536 95284\n61468 92209\n97929 100000\n72759 100000\n66130 99215\n4057 6099\n31002 46534\n35809 53689\n1559 2358\n5594 8411\n36960 55418\n79542 100000\n61911 92876\n29335 44006\n54185 81213\n45065 67591\n90753 100000\n68386 100000\n27905 41852\n13556 20366\n517 794\n94204 100000\n54886 82289\n66529 99810\n31781 47686\n36815 55212\n48114 72099\n60165 90267\n59617 89438\n85464 100000\n95209 100000\n73790 100000\n69747 100000\n79897 100000\n73888 100000\n82986 100000\n46580 69825\n53275 79854\n42629 63937\n72450 100000\n86460 100000\n5882 8845\n35279 52903\n31880 47832\n68151 100000\n39249 58844\n84833 100000\n96079 100000\n86969 100000\n42192 63293\n37005 55488\n33470 50187\n56183 84258\n44072 66096\n52013 77956\n89222 100000\n21109 31731\n6911 10387\n81966 100000\n39719 59558\n75244 100000\n78215 100000\n73884 100000\n58809 88207\n34723 52077\n51415 77068\n4077 6133\n66489 99751\n41446 62164\n96938 100000\n81543 100000\n95863 100000\n84983 100000\n44594 66879\n29253 43873\n31108 46686\n36522 54758\n49173 73704\n54031 80981\n51463 77132\n33232 49834\n82971 100000\n72682 100000\n97020 100000\n23660 35498\n18697 28110\n73373 100000\n14647 22030\n30488 45737\n38572 57841\n93345 100000\n35853 53754\n71727 100000\n26613 39926\n72594 100000\n60616 90930\n13905 20905\n82656 100000\n30364 45538\n14822 22300\n79139 100000\n78335 100000\n13641 20500\n95712 100000\n88973 100000\n70493 100000\n74723 100000\n94476 100000\n53802 80634\n27864 41791\n92253 100000\n69620 100000\n3072 4638\n24532 36808\n88329 100000\n78569 100000\n1881 2832\n60826 91247\n78179 100000\n55633 83435\n87411 100000\n17464 26247\n79067 100000\n87589 100000\n64316 96462\n85418 100000\n28889 43333\n4695 7066\n99075 100000\n37797 56678\n88063 100000\n53228 79782\n88619 100000\n32169 48262\n91962 100000\n75184 100000\n76692 100000\n41895 62854\n29896 44831\n63949 95895\n93052 100000\n24926 37400\n36874 55292\n14242 21413\n82784 100000\n70722 100000\n18518 27825\n80924 100000\n16068 24159\n76011 100000\n4401 6626\n82187 100000\n5464 8213\n78361 100000\n48619 72871\n13890 20881\n35498 53227\n21679 32566\n64998 97488\n29660 44473\n67615 100000\n69185 100000\n41468 62198\n44681 67007\n81901 100000\n25196 37813\n13500 20283\n18868 28377\n70483 100000\n98219 100000\n44003 66001\n39901 59824\n99573 100000\n54313 81408\n11435 17164\n78405 100000\n39504 59230\n72632 100000\n44580 66858\n33046 49562\n40406 60589\n86351 100000\n4691 7060\n64070 96089\n39397 59066\n81990 100000\n48584 72815\n90207 100000\n29523 44276\n33826 50730\n38495 57730\n71118 100000\n65505 98256\n54455 81639\n33811 50707\n77318 100000\n5192 7809\n40864 61285\n5967 8969\n54498 81699\n5688 8548\n63148 94727\n85181 100000\n77084 100000\n51337 76953\n74418 100000\n67003 100000\n27206 40782\n4931 7418\n86802 100000\n88838 100000\n3385 5110\n15739 23676\n56171 84242\n99633 100000\n83408 100000\n2369 3563\n21459 32257\n17886 26870\n89457 100000\n23047 34586\n77652 100000\n9406 14110\n77304 100000\n67622 100000\n46948 70368\n48974 73404\n56860 85275\n25071 37628\n79766 100000\n11892 17853\n41307 61963\n23020 34539\n61445 92172\n82679 100000\n38 58\n94310 100000\n61949 92936\n32955 49429\n3625 5457\n58072 87097\n22390 33607\n73952 100000\n42727 64078\n58669 87995\n81661 100000\n4581 6898\n44519 66767\n15744 23682\n28436 42647\n4859 7306\n16192 24346\n42172 63258\n25827 38751\n16484 24790\n27623 41418\n41113 61657\n17352 26083\n12287 18441\n62868 94318\n23053 34597\n47242 70811\n25935 38912\n83417 100000\n40849 61266\n79641 100000\n97579 100000\n20708 31124\n19945 29986\n9484 14226\n31442 47174\n8377 12577\n394 604\n38916 58346\n97177 100000\n8350 12537\n23200 34816\n83624 100000\n48006 71940\n58158 87228\n60117 90202\n16304 24515\n44247 66359\n36331 54475\n45694 68532\n94554 100000\n7813 11736\n98662 100000\n95424 100000\n36730 55082\n17721 26624\n301 462\n15547 23394\n98512 100000\n15711 23633\n51631 77372\n9288 13935\n29647 44454\n41196 61786\n58360 87544\n6726 10115\n45595 68388\n60901 91366\n33754 50616\n48506 72692\n66245 99386\n8503 12757\n95002 100000\n80226 100000\n34668 51993\n584 896\n37668 56486\n32231 48356\n36599 54881\n79734 100000\n6122 9212\n86996 100000\n35284 52910\n48785 73121\n42559 63834\n98795 100000\n70438 100000\n52854 79217\n91284 100000\n58137 87197\n37106 55637\n74246 100000\n60742 91118\n19607 29482\n97523 100000\n98690 100000\n71306 100000\n23299 34966\n95438 100000\n7642 11483\n10380 15576\n8942 13414\n76737 100000\n91259 100000\n40168 60234\n12565 18852\n58319 87479\n60715 91077\n46586 69834\n11827 17753\n74483 100000\n89728 100000\n9758 14642\n13842 20806\n83823 100000\n6295 9482\n84424 100000\n66087 99148\n31892 47850\n93042 100000\n16436 24712\n69661 100000\n2686 4043\n49754 74587\n47811 71650\n87988 100000\n45032 67535\n90590 100000\n49338 73947\n9890 14847\n39314 58945\n71023 100000\n55356 83011\n95706 100000\n24034 36068\n74347 100000\n85921 100000\n8457 12692\n35589 53358\n19247 28935\n87491 100000\n76701 100000\n93166 100000\n94144 100000\n28920 43380\n7251 10902\n6704 10086\n96190 100000\n30489 45738\n18375 27606\n7860 11806\n44064 66086\n77876 100000\n91115 100000\n17398 26151\n18054 27124\n95192 100000\n44310 66454\n88299 100000\n2334 3512\n52635 78884\n98754 100000\n56859 85273\n15923 23942\n82541 100000\n99878 100000\n39984 59948\n73453 100000\n64674 97001\n17668 26546\n79359 100000\n74013 100000\n57434 86147\n8306 12467\n8182 12285\n17884 26868\n12293 18449\n19754 29701\n38719 58060\n68651 100000\n13928 20942\n27013 40496\n80568 100000\n76876 100000\n91403 100000\n33570 50340\n53796 80624\n67793 100000\n45328 67988\n42279 63419\n5875 8834\n88058 100000\n26729 40085\n72243 100000\n32118 48194\n38711 58050\n63720 95553\n22560 33864\n80128 100000\n14359 21590\n93489 100000\n84747 100000\n65109 97654\n75344 100000\n56379 84561\n2229 3350\n65125 97677\n7650 11497\n70846 100000\n55804 83694\n22907 34373\n93692 100000\n54572 81807\n52789 79115\n74698 100000\n88343 100000\n16547 24881\n38324 57471\n38842 58238\n11599 17409\n50183 75224\n99005 100000\n65164 97736\n80378 100000\n57196 85778\n2382 3583\n9008 13506\n33435 50136\n11834 17764\n90779 100000\n89010 100000\n25891 38845\n26097 39157\n40254 60361\n81845 100000\n47450 71115\n51980 77907\n76174 100000\n60627 90945\n70903 100000\n59323 88981\n26474 39716\n79511 100000\n1455 2202\n26811 40207\n30151 45219\n79526 100000\n69221 100000\n60486 90742\n11771 17670\n99833 100000\n60126 90214\n46661 69947\n64515 96756\n70141 100000\n73899 100000\n40336 60482\n20964 31517\n50326 75445\n84154 100000\n49681 74473\n78689 100000\n63555 95309\n95440 100000\n41286 61930\n26196 39299\n6783 10198\n40024 60012\n32487 48740\n88550 100000\n57021 85520\n50083 75068\n68731 100000\n94837 100000\n84463 100000\n63413 95103\n95596 100000\n95034 100000\n57680 86512\n96300 100000\n15107 22736\n51537 77237\n54493 81693\n21794 32743\n29987 44967\n60930 91408\n90205 100000\n33217 49813\n98422 100000\n33540 50292\n16258 24445\n90346 100000\n58675 88004\n52341 78441\n69385 100000\n74342 100000\n51574 77289\n78679 100000\n22059 33127\n33243 49852\n80379 100000\n78858 100000\n10679 16013\n37871 56785\n70117 100000\n90211 100000\n33343 49995\n24655 36990\n4127 6212\n50392 75547\n50547 75776\n63127 94701\n29113 43658\n56356 84523\n54541 81765\n94364 100000\n1787 2693\n89337 100000\n25028 37555\n59061 88583\n88579 100000\n82123 100000\n9402 14105\n69718 100000\n47132 70650\n55554 83317\n53404 80048\n55827 83724\n104 162\n70961 100000\n28523 42778\n29787 44664\n54086 81063\n47787 71617\n44255 66374\n66921 100000\n63576 95340\n25537 38306\n53102 79586\n49453 74120\n30529 45805\n37306 55938\n24224 36350\n69794 100000\n31980 47983\n47500 71183\n15394 23163\n70329 100000\n49399 74037\n89626 100000\n58156 87225\n62431 93664\n30606 45922\n16950 25474\n40082 60100\n29720 44565\n47367 71001\n28088 42124\n39937 59880\n52069 78045\n15046 22638\n23679 35527\n41059 61582\n93040 100000\n73206 100000\n12859 19299\n87824 100000\n27285 40904\n75340 100000\n68355 100000\n58856 88274\n8743 13118\n20072 30173\n55200 82780\n68910 100000\n47458 71126\n8919 13383\n17509 26309\n28746 43119\n20438 30716\n68331 100000\n74808 100000\n12634 18957\n15123 22760\n95795 100000\n24494 36753\n86001 100000\n27771 41649\n59495 89252\n25622 38431\n69129 100000\n44790 67174\n61766 92650\n64541 96798\n31667 47516\n62272 93415\n27156 40713\n17231 25898\n62456 93702\n84622 100000\n73892 100000\n59195 88787\n41592 62385\n2223 3341\n35192 52780\n26362 39551\n4626 6966\n13057 19605\n10794 16188\n44699 67037\n332 508\n93772 100000\n64993 97483\n29780 44654\n7958 11954\n87782 100000\n83465 100000\n92278 100000\n37415 56099\n57690 86526\n29767 44634\n69846 100000\n22220 33365\n85906 100000\n6090 9160\n60264 90407\n69054 100000\n81215 100000\n31452 47188\n15665 23568\n1368 2071\n5084 7649\n74205 100000\n23548 35331\n8592 12891\n30613 45933\n5009 7532\n51922 77814\n19351 29093\n53978 80904\n94088 100000\n12000 18012\n76273 100000\n44507 66751\n94710 100000\n24611 36920\n6199 9334\n99967 100000\n21090 31701\n49359 73978\n83654 100000\n43271 64902\n1264 1916\n85640 100000\n33002 49495\n44581 66859\n91735 100000\n42123 63182\n1001 1518\n10680 16015\n72472 100000\n98107 100000\n62858 94302\n53620 80367\n7360 11061\n60259 90398\n85185 100000\n39872 59784\n70393 100000\n49501 74192\n90035 100000\n6101 9177\n45597 68390\n30388 45578\n87745 100000\n47983 71908\n96977 100000\n17075 25653\n68385 100000\n70788 100000\n62105 93155\n97207 100000\n21553 32394\n64748 97110\n62996 94504\n9970 14963\n52091 78074\n86708 100000\n24740 37118\n14240 21411\n86571 100000\n51090 76592\n26876 40299\n97938 100000\n50570 75808\n30075 45095\n47872 71735\n31490 47244\n49368 73991\n77549 100000\n93980 100000\n6146 9248\n39061 58554\n73268 100000\n84105 100000\n58313 87469\n45025 67525\n69055 100000\n38087 57113\n44874 67301\n67237 100000\n30436 45660\n98277 100000\n50708 76020\n88529 100000\n90348 100000\n89380 100000\n42263 63395\n29881 44810\n27471 41198\n15079 22691\n82212 100000\n61416 92130\n78795 100000\n32386 48588\n97477 100000\n25829 38755\n80132 100000\n28360 42532\n97217 100000\n16823 25290\n30044 45050\n93214 100000\n79565 100000\n49463 74134\n70821 100000\n46215 69290\n45528 68284\n84748 100000\n80403 100000\n21229 31909\n48912 73313\n90350 100000\n76182 100000\n55196 82772\n67942 100000\n38093 57121\n17536 26351\n34695 52035\n90637 100000\n65175 97753\n2487 3744\n52686 78962\n47843 71692\n71228 100000\n7569 11377\n78362 100000\n22810 34232\n98273 100000\n58292 87436\n7517 11298\n8893 13342\n87678 100000\n50692 75994\n22943 34428\n47685 71464\n57137 85687\n54299 81385\n37754 56609\n70019 100000\n64686 97020\n59748 89648\n73987 100000\n40980 61457\n47452 71117\n40596 60878\n85709 100000\n79638 100000\n60962 91457\n70872 100000\n27591 41371\n17484 26274\n51217 76786\n89017 100000\n60904 91369\n16308 24521\n98040 100000\n17745 26661\n43717 65577\n71078 100000\n41448 62167\n48846 73214\n98200 100000\n90692 100000\n41959 62946\n2700 4065\n41867 62812\n6649 10003\n90109 100000\n94154 100000\n12499 18755\n52700 78981\n26302 39460\n6174 9296\n20531 30851\n6186 9314\n30369 45546\n28827 43240\n80003 100000\n66269 99422\n69189 100000\n38918 58348\n87857 100000\n69751 100000\n43178 64761\n44369 66544\n34903 52355\n49073 73551\n46162 69218\n65253 97871\n51086 76585\n99767 100000\n32957 49432\n92783 100000\n72389 100000\n14558 21887\n67265 100000\n50745 76080\n69231 100000\n57414 86118\n51524 77217\n91486 100000\n14727 22157\n98668 100000\n71190 100000\n53252 79820\n57861 86770\n80062 100000\n53117 79606\n37186 55756\n93572 100000\n6444 9702\n78614 100000\n55699 83535\n57670 86499\n41094 61631\n12843 19272\n65002 97493\n78586 100000\n79997 100000\n48117 72104\n97004 100000\n80427 100000\n24349 36542\n79588 100000\n64642 96953\n3702 5575\n81434 100000\n32129 48208\n15921 23938\n4356 6559\n83184 100000\n64720 97072\n79024 100000\n99192 100000\n62642 93976\n64187 96269\n52877 79251\n47996 71928\n8277 12424\n23184 34795\n58477 87716\n68868 100000\n20394 30655\n71994 100000\n51950 77859\n90523 100000\n64491 96719\n66361 99559\n46025 69014\n23941 35925\n71925 100000\n26870 40289\n50393 75548\n11194 16797\n52858 79222\n43333 65003\n16777 25219\n15822 23793\n91875 100000\n96519 100000\n17953 26973\n80661 100000\n85653 100000\n20383 30642\n27861 41787\n38580 57854\n8201 12315\n26324 39496\n34177 51249\n77463 100000\n32562 48846\n14632 22004\n42067 63098\n70177 100000\n96121 100000\n2895 4369\n71664 100000\n90751 100000\n8044 12073\n86526 100000\n19664 29563\n90996 100000\n61203 91813\n4705 7081\n12429 18655\n22695 34065\n91218 100000\n93356 100000\n33845 50757\n59510 89277\n46680 69974\n5611 8435\n15504 23329\n63078 94629\n71916 100000\n27394 41071\n55846 83752\n58741 88105\n64654 96969\n70153 100000\n65249 97866\n3290 4965\n57115 85656\n40394 60571\n25890 38844\n1541 2332\n37535 56274\n32058 48103\n96132 100000\n59005 88499\n91558 100000\n58839 88249\n44453 66666\n85947 100000\n65642 98469\n71310 100000\n68924 100000\n60302 90466\n63714 95544\n60156 90256\n91433 100000\n62257 93393\n7760 11661\n99534 100000\n66698 100000\n87338 100000\n25877 38825\n72803 100000\n24396 36614\n8247 12383\n44450 66662\n10002 15011\n80268 100000\n46607 69868\n99004 100000\n8223 12348\n62565 93863\n57506 86252\n60451 90693\n26075 39123\n53198 79738\n16104 24211\n79397 100000\n82193 100000\n42880 64310\n50505 75716\n864 1313\n22371 33578\n49062 73538\n944 1434\n5977 8985\n57675 86506\n21843 32816\n70981 100000\n37229 55821\n25550 38326\n98580 100000\n57267 85891\n59459 89191\n27671 41489\n81284 100000\n48541 72751\n15137 22781\n85961 100000\n17760 26685\n30117 45164\n50862 76252\n9601 14407\n99284 100000\n30438 45663\n21328 32059\n66476 99733\n10292 15450\n70233 100000\n62069 93108\n42264 63396\n87144 100000\n64028 96024\n23830 35753\n27310 40942\n7921 11904\n6667 10028\n49686 74479\n58415 87622\n79663 100000\n46972 70407\n13664 20536\n55604 83394\n90288 100000\n29997 44981\n15729 23661\n96879 100000\n45722 68572\n40564 60830\n34480 51711\n26139 39217\n15835 23812\n56870 85286\n52458 78618\n90087 100000\n89972 100000\n11188 16787\n9388 14084\n61365 92058\n20821 31300\n46853 70227\n33823 50725\n6088 9157\n39729 59572\n46960 70389\n40995 61480\n78096 100000\n41252 61875\n40405 60588\n1965 2957\n40272 60388\n16168 24307\n87738 100000\n33041 49553\n29995 44979\n34689 52028\n4966 7470\n4824 7258\n85518 100000\n27703 41539\n25462 38204\n19495 29313\n85310 100000\n23382 35090\n12833 19256\n76226 100000\n3975 5976\n26187 39286\n54051 81013\n62662 94007\n24671 37012\n69077 100000\n5023 7552\n85264 100000\n71669 100000\n62236 93364\n78468 100000\n38578 57851\n96918 100000\n33273 49895\n39057 58548\n4599 6924\n57725 86576\n8560 12842\n50357 75492\n98363 100000\n38942 58379\n1812 2726\n97794 100000\n50082 75067\n92931 100000\n37727 56569\n99601 100000\n8424 12645\n17978 27006\n44747 67110\n95551 100000\n56549 84816\n31550 47338\n34079 51099\n92860 100000\n31642 47476\n90374 100000\n30005 44993\n95400 100000\n46834 70198\n26309 39473\n5153 7750\n67741 100000\n81584 100000\n8832 13254\n51615 77352\n3107 4687\n21317 32042\n67721 100000\n71578 100000\n21512 32334\n97575 100000\n65944 98931\n39615 59400\n6597 9923\n16885 25377\n3982 5985\n26289 39442\n51909 77793\n30843 46284\n11403 17115\n67757 100000\n6409 9658\n59544 89324\n22210 33352\n64958 97430\n23719 35587\n66983 100000\n80617 100000\n88425 100000\n13222 19861\n94360 100000\n12900 19360\n34901 52352\n11292 16948\n92909 100000\n76681 100000\n54732 82056\n36947 55398\n92324 100000\n79165 100000\n41544 62315\n43308 64962\n55982 83953\n79720 100000\n31690 47551\n11749 17635\n87121 100000\n66050 99093\n71156 100000\n19793 29761\n59260 88888\n4932 7419\n16617 24986\n99957 100000\n27955 41930\n31681 47536\n54132 81136\n17025 25578\n66443 99682\n42374 63557\n70385 100000\n80108 100000\n21325 32054\n4846 7287\n55890 83817\n47682 71460\n61359 92049\n47460 71128\n26052 39086\n36177 54234\n22969 34467\n46168 69227\n7728 11610\n49691 74487\n18062 27136\n16943 25464\n67473 100000\n22189 33324\n13562 20374\n71767 100000\n94948 100000\n40594 60876\n18923 28457\n12164 18260\n82745 100000\n8226 12352\n22136 33245\n15622 23507\n36919 55358\n73196 100000\n88713 100000\n6623 9964\n40086 60106\n8598 12899\n64530 96780\n56292 84427\n33251 49864\n21687 32575\n73005 100000\n23985 35999\n79303 100000\n29216 43813\n3214 4850\n56609 84904\n53616 80361\n6062 9120\n24096 36162\n86705 100000\n18595 27946\n5593 8410\n54934 82361\n29132 43689\n60199 90315\n74734 100000\n20593 30945\n2824 4261\n75805 100000\n6879 10340\n31522 47296\n54974 82424\n57172 85740\n42929 64386\n57978 86950\n12281 18432\n53735 80534\n69409 100000\n52665 78932\n77391 100000\n64745 97106\n47068 70552\n11931 17909\n44401 66592\n40712 61048\n23097 34667\n90839 100000\n87266 100000\n67157 100000\n26919 40361\n10941 16412\n72836 100000\n37028 55522\n1785 2689\n9207 13806\n25283 37938\n49513 74212\n92422 100000\n69218 100000\n39022 58497\n79484 100000\n56290 84424\n59935 89925\n94043 100000\n20894 31407\n5571 8376\n10947 16421\n7253 10905\n53302 79901\n91255 100000\n25717 38577\n77064 100000\n66162 99264\n79230 100000\n40893 61327\n39949 59896\n51158 76695\n83755 100000\n59233 88844\n24788 37192\n84179 100000\n64673 96999\n85615 100000\n54028 80975\n42031 63047\n46572 69814\n43283 64924\n86998 100000\n3947 5940\n26036 39061\n67357 100000\n89528 100000\n35759 53610\n4508 6782\n41839 62767\n68016 100000\n37083 55603\n10571 15854\n16696 25105\n87502 100000\n7897 11865\n30747 46139\n85420 100000\n26142 39223\n65797 98706\n48935 73348\n38716 58057\n46725 70038\n83644 100000\n8717 13079\n99428 100000\n97874 100000\n40337 60483\n8535 12802\n29860 44775\n80644 100000\n60413 90635\n61970 92969\n70921 100000\n27486 41220\n74186 100000\n20554 30882\n94711 100000\n30591 45899\n48593 72831\n10582 15870\n90216 100000\n45069 67598\n86257 100000\n59568 89360\n30081 45106\n76475 100000\n11390 17094\n68301 100000\n27692 41523\n87625 100000\n64076 96096\n84429 100000\n67707 100000\n45367 68046\n56721 85067\n64251 96366\n60563 90853\n76140 100000\n51277 76870\n80124 100000\n74763 100000\n2201 3308\n25983 38981\n32984 49468\n34103 51133\n48775 73106\n54403 81552\n23009 34521\n95283 100000\n8620 12934\n59934 89924\n43197 64786\n85515 100000\n74773 100000\n59218 88821\n94215 100000\n81063 100000\n49599 74345\n73276 100000\n23650 35483\n55510 83248\n43713 65570\n78270 100000\n35616 53398\n51584 77305\n39972 59933\n49763 74602\n56841 85249\n65787 98690\n18737 28173\n75737 100000\n7784 11696\n15442 23239\n99611 100000\n9797 14701\n7248 10897\n82200 100000\n56583 84868\n6478 9747\n36516 54750\n97313 100000\n77344 100000\n8208 12325\n73303 100000\n15253 22951\n10283 15438\n81082 100000\n33207 49801\n5020 7548\n36917 55356\n69336 100000\n54134 81140\n82627 100000\n79818 100000\n21494 32310\n40204 60290\n86565 100000\n97347 100000\n59277 88913\n98650 100000\n37512 56243\n97967 100000\n84090 100000\n89245 100000\n97795 100000\n82717 100000\n28762 43145\n19545 29387\n37912 56846\n7964 11963\n58037 87040\n19637 29524\n1908 2870\n3116 4700\n87133 100000\n35009 52511\n64586 96866\n67351 100000\n61719 92577\n55482 83204\n2022 3041\n86226 100000\n46442 69624\n37804 56688\n14007 21060\n99291 100000\n66194 99306\n40621 60914\n35757 53606\n70507 100000\n89027 100000\n23470 35217\n17109 25704\n19259 28951\n22402 33624\n67729 100000\n5782 8686\n32226 48347\n75149 100000\n38500 57739\n31013 46550\n4562 6868\n24831 37260\n1462 2213\n30621 45948\n43091 64627\n75719 100000\n46864 70242\n67253 100000\n33911 50854\n84640 100000\n47511 71199\n53239 79801\n95185 100000\n46322 69451\n20224 30405\n9395 14094\n85063 100000\n86486 100000\n27557 41320\n20116 30241\n6771 10182\n81694 100000\n93959 100000\n55043 82540\n70613 100000\n88129 100000\n39755 59609\n57309 85954\n10831 16247\n37135 55677\n56179 84252\n81816 100000\n43161 64736\n97663 100000\n22773 34177\n17905 26901\n27581 41358\n34989 52479\n54090 81070\n16080 24177\n75242 100000\n6942 10434\n93148 100000\n81852 100000\n70711 100000\n43189 64777\n95407 100000\n20155 30300\n40019 60004\n56460 84684\n19630 29514\n97501 100000\n21607 32467\n77434 100000\n3392 5121\n41201 61795\n42689 64020\n66752 100000\n66495 99759\n50594 75845\n33134 49688\n43617 65424\n72742 100000\n95478 100000\n95452 100000\n27297 40924\n58006 86993\n98644 100000\n67659 100000\n91222 100000\n85521 100000\n65707 98565\n92208 100000\n71561 100000\n94301 100000\n95451 100000\n22754 34149\n68882 100000\n41679 62514\n16248 24430\n81453 100000\n91016 100000\n30810 46239\n5888 8852\n96155 100000\n43633 65448\n5199 7821\n26160 39248\n80479 100000\n42995 64483\n32583 48872\n63668 95481\n51236 76811\n22175 33303\n93125 100000\n67190 100000\n99167 100000\n92036 100000\n15192 22858\n31283 46941\n80454 100000\n82720 100000\n18393 27634\n32295 48449\n98611 100000\n40320 60458\n2901 4378\n76 119\n91613 100000\n45575 68356\n83994 100000\n52347 78452\n49712 74520\n16947 25469\n74152 100000\n18952 28500\n74780 100000\n1893 2851\n76751 100000\n58551 87822\n30634 45969\n71211 100000\n10107 15171\n60464 90713\n13934 20951\n23411 35134\n6946 10440\n54000 80934\n73728 100000\n65337 98004\n63540 95289\n93753 100000\n61566 92352\n27242 40840\n32565 48851\n27172 40737\n41999 62999\n61929 92903\n48631 72892\n21503 32321\n90694 100000\n82318 100000\n81167 100000\n30479 45724\n6752 10153\n6173 9295\n35755 53604\n43922 65876\n24285 36445\n49702 74503\n4215 6344\n14362 21593\n67393 100000\n15755 23698\n58048 87058\n97498 100000\n90812 100000\n5290 7953\n40454 60661\n28730 43093\n72471 100000\n39964 59919\n62455 93701\n87578 100000\n12735 19111\n6877 10336\n75475 100000\n77229 100000\n97919 100000\n8449 12680\n18319 27523\n15869 23860\n91500 100000\n14720 22147\n76052 100000\n85265 100000\n77856 100000\n41755 62637\n50664 75955\n42600 63897\n79073 100000\n33893 50829\n55416 83098\n7575 11387\n37638 56439\n17144 25762\n48961 73384\n88745 100000\n37522 56259\n42760 64131\n3698 5570\n30200 45291\n92530 100000\n62476 93729\n22433 33671\n86007 100000\n40285 60406\n80969 100000\n43003 64494\n95087 100000\n67636 100000\n49478 74156\n70615 100000\n24666 37004\n73590 100000\n26061 39103\n1320 2001\n91143 100000\n19217 28889\n83127 100000\n23945 35932\n28653 42975\n35989 53954\n60269 90414\n83474 100000\n32896 49340\n6724 10112\n69356 100000\n81883 100000\n43577 65368\n54635 81901\n22300 33476\n83239 100000\n9223 13833\n574 881\n33142 49702\n77913 100000\n38343 57496\n53736 80536\n43682 65521\n99206 100000\n88994 100000\n8236 12366\n46495 69700\n81578 100000\n38351 57509\n91731 100000\n95825 100000\n49875 74773\n12554 18836\n96460 100000\n90685 100000\n27599 41383\n52660 78922\n21375 32126\n21091 31703\n41308 61965\n33456 50165\n28688 43026\n83347 100000\n78538 100000\n52244 78295\n80551 100000\n46191 69258\n56221 84318\n16827 25296\n61112 91678\n25821 38741\n72809 100000\n56438 84651\n90262 100000\n8722 13087\n60741 91116\n39454 59153\n18610 27967\n1361 2063\n57588 86370\n56189 84268\n13964 20995\n32182 48279\n36858 55270\n29929 44882\n77487 100000\n69630 100000\n76422 100000\n23878 35827\n18516 27822\n55981 83952\n81923 100000\n97956 100000\n91113 100000\n71749 100000\n57789 86672\n34018 51010\n19518 29347\n15053 22650\n46544 69773\n83975 100000\n82014 100000\n1711 2577\n12787 19187\n96752 100000\n28875 43312\n97310 100000\n68136 100000\n61361 92052\n41159 61729\n48081 72050\n31748 47639\n65864 98805\n10879 16323\n57717 86565\n57345 86012\n53544 80254\n38597 57876\n81780 100000\n95871 100000\n13927 20941\n46058 69069\n72504 100000\n70227 100000\n84783 100000\n5059 7610\n45971 68928\n48807 73154\n34928 52389\n68663 100000\n68580 100000\n94131 100000\n86220 100000\n86447 100000\n4007 6020\n30194 45284\n50652 75937\n25601 38400\n65685 98531\n7502 11274\n38122 57163\n36823 55222\n37071 55585\n40471 60690\n39123 58642\n93932 100000\n8036 12062\n73101 100000\n9598 14402\n82069 100000\n18895 28417\n46662 69948\n33224 49822\n30834 46272\n52723 79016\n11399 17110\n51244 76822\n59111 88657\n72998 100000\n1422 2151\n12871 19316\n22991 34496\n46646 69923\n66674 100000\n61125 91697\n91730 100000\n62367 93567\n69690 100000\n15174 22830\n79589 100000\n98734 100000\n83620 100000\n79435 100000\n74976 100000\n35625 53412\n16459 24749\n82264 100000\n15296 23019\n49571 74304\n16095 24199\n20318 30543\n7571 11380\n29808 44701\n22554 33853\n96683 100000\n2877 4341\n87687 100000\n49382 74013\n79642 100000\n79930 100000\n62043 93072\n39837 59731\n7417 11145\n89653 100000\n60001 90026\n43498 65251\n41374 62059\n46598 69855\n57342 86008\n56952 85413\n46029 69021\n26368 39560\n48816 73167\n327 500\n87881 100000\n54587 81827\n66304 99474\n59697 89565\n22265 33424\n86727 100000\n35077 52610\n38883 58299\n48366 72479\n49021 73474\n36360 54520\n11124 16697\n70804 100000\n69742 100000\n38813 58197\n57918 86857\n39753 59606\n63665 95475\n65006 97499\n57279 85909\n77167 100000\n71772 100000\n24237 36367\n87400 100000\n89135 100000\n54178 81202\n37103 55631\n28209 42303\n7934 11923\n28258 42375\n42824 64229\n68353 100000\n56638 84949\n60291 90449\n26282 39431\n97936 100000\n98359 100000\n31779 47683\n63172 94759\n64812 97208\n34859 52289\n85396 100000\n260 400\n46595 69849\n19696 29612\n10876 16317\n80544 100000\n75840 100000\n36701 55030\n57920 86860\n13671 20546\n55764 83638\n5379 8087\n86750 100000\n42939 64397\n75234 100000\n20840 31324\n44454 66667\n14208 21366\n29117 43665\n58966 88445\n3676 5537\n13212 19845\n91290 100000\n25616 38421\n41730 62596\n82444 100000\n46164 69221\n28259 42377\n7345 11042\n80546 100000\n86736 100000\n532 816\n62103 93152\n80484 100000\n31469 47215\n11115 16686\n62293 93448\n59042 88556\n59726 89612\n12221 18351\n14748 22192\n35941 53884\n42501 63747\n12089 18148\n39238 58827\n15469 23278\n73202 100000\n4177 6289\n95538 100000\n39625 59418\n81708 100000\n7166 10776\n29984 44961\n8031 12055\n31438 47169\n56249 84364\n83596 100000\n22677 34039\n56002 83988\n82405 100000\n56373 84549\n21958 32982\n61551 92327\n60727 91095\n4526 6810\n78782 100000\n72091 100000\n93782 100000\n83428 100000\n93022 100000\n27244 40844\n53767 80581\n53221 79773\n36326 54468\n47406 71052\n81192 100000\n64943 97408\n30636 45973\n19326 29052\n65285 97921\n13335 20025\n17250 25929\n4590 6911\n74055 100000\n43444 65173\n2282 3433\n29642 44447\n31827 47755\n58356 87537\n63814 95692\n48164 72174\n69868 100000\n46174 69236\n49539 74256\n72162 100000\n63049 94584\n29917 44863\n98975 100000\n3846 5789\n61354 92041\n19716 29645\n33299 49931\n56453 84673\n65383 98077\n64357 96523\n45533 68293\n69965 100000\n82255 100000\n79993 100000\n21291 32001\n94393 100000\n70116 100000\n80412 100000\n21501 32319\n90843 100000\n94635 100000\n72539 100000\n88381 100000\n83094 100000\n4738 7133\n95913 100000\n87297 100000\n45036 67543\n91264 100000\n12505 18763\n28435 42645\n58879 88309\n62680 94035\n47651 71414\n9451 14173\n6793 10213\n5962 8962\n28751 43128\n56111 84150\n46610 69873\n50293 75394\n77018 100000\n54190 81220\n94946 100000\n45708 68549\n40175 60244\n39669 59483\n33921 50868\n89567 100000\n52653 78912\n5156 7755\n37644 56448\n39340 58986\n40855 61273\n14614 21972\n70354 100000\n24210 36330\n7318 11001\n78768 100000\n94594 100000\n24256 36396\n6805 10228\n21185 31841\n48422 72564\n94472 100000\n27768 41644\n27980 41965\n98643 100000\n69590 100000\n51178 76725\n43022 64521\n28755 43135\n81049 100000\n70987 100000\n11958 17948\n75054 100000\n55703 83541\n99158 100000\n10975 16464\n64369 96540\n87467 100000\n40072 60086\n12628 18947\n88310 100000\n96272 100000\n77239 100000\n77630 100000\n53906 80796\n53690 80465\n93292 100000\n4041 6070\n64722 97074\n54871 82267\n16647 25033\n80981 100000\n79391 100000\n80461 100000\n69883 100000\n86514 100000\n55790 83677\n41610 62410\n33095 49634\n93988 100000\n92861 100000\n3358 5069\n97290 100000\n15794 23751\n18154 27273\n27894 41837\n21638 32510\n35110 52655\n42110 63162\n32664 48995\n8923 13388\n50939 76365\n98201 100000\n92874 100000\n62560 93857\n55701 83539\n22137 33246\n9428 14140\n58874 88301\n7612 11438\n35619 53404\n6262 9429\n13395 20118\n77707 100000\n33866 50791\n80111 100000\n6632 9979\n98112 100000\n32684 49028\n78287 100000\n34580 51863\n82963 100000\n41283 61925\n63457 95170\n80248 100000\n93723 100000\n68596 100000\n51454 77121\n26239 39368\n77376 100000\n18586 27932\n9499 14251\n24791 37197\n71407 100000\n53030 79479\n6034 9072\n89351 100000\n50032 74997\n96888 100000\n57634 86442\n44863 67281\n59447 89172\n64494 96723\n68438 100000\n96668 100000\n37196 55769\n98367 100000\n67667 100000\n42278 63418\n62275 93420\n62327 93505\n73408 100000\n72204 100000\n88563 100000\n16426 24699\n79362 100000\n83345 100000\n97920 100000\n32492 48748\n4883 7343\n51007 76465\n20244 30434\n91953 100000\n58185 87269\n90510 100000\n2800 4224\n19004 28576\n91312 100000\n33915 50860\n86674 100000\n29534 44291\n69863 100000\n92626 100000\n54681 81976\n40186 60261\n64782 97161\n69733 100000\n87193 100000\n62320 93493\n13071 19626\n5374 8082\n1461 2212\n37084 55605\n82059 100000\n70193 100000\n4619 6955\n85207 100000\n47167 70701\n66247 99389\n5708 8579\n83550 100000\n21074 31677\n87756 100000\n76633 100000\n83156 100000\n91724 100000\n66151 99247\n68098 100000\n7875 11829\n85831 100000\n19147 28793\n64618 96914\n60290 90447\n65318 97975\n62002 93014\n17756 26679\n89329 100000\n34589 51878\n33900 50839\n24422 36652\n25567 38349\n18102 27193\n88045 100000\n45753 68615\n96374 100000\n22284 33452\n42448 63669\n67650 100000\n18727 28158\n7090 10662\n58167 87241\n45448 68161\n15217 22892\n62388 93601\n12323 18492\n81122 100000\n58992 88479\n62920 94388\n12192 18304\n74845 100000\n80745 100000\n97056 100000\n64448 96658\n8085 12137\n4799 7224\n36886 55308\n30771 46179\n41083 61617\n42563 63840\n18397 27640\n27686 41513\n15189 22853\n39991 59959\n83017 100000\n49239 73797\n88747 100000\n53803 80635\n67631 100000\n80075 100000\n87612 100000\n60554 90840\n99657 100000\n90527 100000\n36959 55417\n8481 12727\n16301 24510\n4448 6698\n52257 78314\n24330 36514\n75293 100000\n1781 2682\n61071 91616\n99114 100000\n34173 51244\n52998 79429\n71276 100000\n63355 95020\n10820 16230\n11257 16892\n57958 86919\n77392 100000\n54520 81732\n28368 42547\n6723 10111\n23889 35845\n40969 61441\n25787 38688\n50681 75979\n78596 100000\n30867 46323\n56575 84855\n42182 63275\n85741 100000\n13120 19701\n20525 30843\n85343 100000\n13183 19800\n43822 65727\n21362 32107\n52767 79080\n27326 40963\n17768 26698\n89874 100000\n73484 100000\n50237 75305\n43278 64915\n11818 17740\n77307 100000\n86780 100000\n62967 94460\n13349 20048\n91503 100000\n55129 82673\n8970 13455\n75434 100000\n38404 57588\n25563 38344\n55360 83018\n98772 100000\n72179 100000\n20041 30130\n2395 3599\n73667 100000\n50309 75417\n38854 58257\n59839 89781\n73631 100000\n51759 77568\n64041 96044\n36942 55391\n42326 63487\n335 513\n80976 100000\n56021 84017\n46919 70325\n66917 100000\n42450 63673\n7322 11008\n19072 28675\n74827 100000\n11469 17216\n72537 100000\n23644 35472\n85680 100000\n77144 100000\n32691 49041\n20759 31202\n37372 56035\n51117 76634\n92344 100000\n56932 85382\n39378 59040\n88610 100000\n15397 23168\n12097 18159\n2590 3906\n65093 97635\n70499 100000\n68658 100000\n8605 12911\n50465 75655\n3044 4592\n22029 33085\n16755 25189\n62563 93861\n25774 38665\n79784 100000\n29124 43676\n43828 65734\n48241 72287\n99809 100000\n59395 89085\n94374 100000\n98561 100000\n402 617\n7997 12008\n13196 19821\n93004 100000\n90045 100000\n33290 49917\n89642 100000\n44947 67407\n66960 100000\n8429 12652\n69592 100000\n52739 79040\n50172 75205\n44929 67381\n49531 74242\n34246 51350\n91012 100000\n1880 2831\n82610 100000\n78813 100000\n81636 100000\n51461 77130\n82987 100000\n29807 44699\n26522 39788\n96288 100000\n8216 12338\n79585 100000\n83151 100000\n31326 47007\n42032 63048\n13067 19619\n57077 85602\n29260 43883\n9587 14385\n61691 92537\n99519 100000\n59242 88859\n49254 73819\n52927 79325\n61914 92881\n2758 4159\n5057 7608\n10422 15641\n69192 100000\n1768 2662\n76415 100000\n12922 19394\n60309 90476\n73860 100000\n46206 69278\n61845 92778\n18828 28313\n66806 100000\n88612 100000\n81395 100000\n82176 100000\n16530 24856\n58378 87571\n83866 100000\n72288 100000\n12382 18582\n27342 40986\n85816 100000\n38259 57374\n39851 59751\n8623 12938\n32800 49200\n50794 76149\n89530 100000\n30234 45342\n62601 93918\n5143 7738\n57421 86125\n66280 99440\n30554 45844\n9286 13932\n93449 100000\n31489 47243\n37788 56665\n17561 26387\n55962 83927\n79028 100000\n80096 100000\n52316 78406\n98939 100000\n23339 35026\n97851 100000\n79074 100000\n45561 68336\n7352 11052\n72585 100000\n49791 74647\n87718 100000\n18187 27324\n8086 12139\n84727 100000\n94370 100000\n59414 89116\n70516 100000\n99772 100000\n46831 70194\n88165 100000\n5030 7563\n14172 21309\n39474 59183\n21584 32437\n82989 100000\n8510 12766\n95 149\n62453 93698\n23824 35744\n15461 23266\n83895 100000\n75875 100000\n95881 100000\n30297 45434\n70123 100000\n7744 11634\n38284 57413\n15516 23345\n90747 100000\n84363 100000\n55299 82930\n18955 28504\n87300 100000\n50079 75062\n63203 94800\n62394 93610\n88754 100000\n59538 89316\n62397 93613\n41890 62845\n89842 100000\n96652 100000\n54096 81078\n21975 33006\n95318 100000\n91984 100000\n8470 12711\n29125 43677\n66589 99894\n35226 52825\n25788 38689\n42345 63514\n79885 100000\n411 630\n92730 100000\n76696 100000\n11938 17918\n87383 100000\n76254 100000\n78226 100000\n84042 100000\n39570 59334\n58757 88131\n65848 98781\n54149 81160\n39141 58666\n47950 71857\n25121 37703\n19242 28928\n63267 94898\n64514 96755\n63158 94741\n60986 91491\n23704 35565\n60461 90708\n90891 100000\n28307 42451\n43951 65922\n78808 100000\n54864 82258\n54310 81404\n27553 41316\n28292 42429\n68768 100000\n70895 100000\n24639 36963\n15226 22906\n8113 12182\n77222 100000\n14754 22200\n43542 65318\n60526 90799\n91753 100000\n36820 55219\n62074 93115\n85003 100000\n15524 23359\n72950 100000\n11265 16905\n67133 100000\n35948 53895\n59928 89915\n53893 80776\n7147 10750\n17984 27017\n42737 64098\n4784 7204\n43836 65746\n25221 37849\n24881 37333\n54759 82097\n94730 100000\n91563 100000\n90756 100000\n72890 100000\n12488 18737\n48654 72922\n47552 71262\n7640 11481\n73345 100000\n19148 28794\n41013 61508\n19992 30058\n96239 100000\n46509 69720\n64861 97276\n58110 87154\n5622 8451\n75573 100000\n40122 60161\n29021 43531\n72321 100000\n61379 92080\n96609 100000\n94920 100000\n68737 100000\n4783 7202\n15448 23248\n20880 31387\n91617 100000\n24684 37031\n90778 100000\n97260 100000\n39873 59786\n89036 100000\n27733 41592\n55024 82509\n84612 100000\n73744 100000\n39492 59213\n72736 100000\n52605 78840\n87216 100000\n99312 100000\n38444 57652\n80565 100000\n770 1173\n88076 100000\n85840 100000\n78031 100000\n20420 30691\n48260 72316\n45061 67583\n7362 11065\n90963 100000\n44602 66891\n13943 20963\n56224 84324\n31927 47900\n6263 9430\n94097 100000\n96322 100000\n51175 76720\n96693 100000\n98353 100000\n68204 100000\n41177 61757\n35652 53453\n78116 100000\n37582 56349\n64868 97288\n19432 29218\n30091 45123\n23550 35333\n70363 100000\n98419 100000\n81090 100000\n80494 100000\n41329 61992\n84549 100000\n91718 100000\n14833 22315\n6958 10460\n17276 25969\n93900 100000\n6198 9332\n60572 90863\n63671 95485\n72037 100000\n45601 68396\n80656 100000\n23678 35525\n98703 100000\n96797 100000\n25764 38647\n51679 77448\n51652 77405\n59234 88846\n65473 98208\n29380 44074\n18596 27948\n85706 100000\n10575 15860\n95144 100000\n31292 46954\n20719 31142\n37739 56588\n82248 100000\n45824 68717\n72077 100000\n83034 100000\n76038 100000\n5901 8872\n90640 100000\n71378 100000\n85817 100000\n8705 13062\n94833 100000\n35563 53321\n38751 58110\n4213 6342\n75890 100000\n61712 92566\n40356 60511\n65737 98613\n51052 76534\n40779 61161\n95154 100000\n36519 54754\n71416 100000\n89019 100000\n39517 59251\n68517 100000\n68192 100000\n71112 100000\n92034 100000\n40923 61373\n65912 98880\n59783 89700\n5164 7766\n57612 86407\n25109 37684\n33917 50862\n5500 8264\n60571 90862\n37758 56616\n13003 19523\n41675 62508\n61402 92110\n18606 27961\n28680 43016\n7396 11114\n76349 100000\n98235 100000\n68045 100000\n40321 60459\n1329 2016\n60093 90166\n59264 88894\n72094 100000\n79133 100000\n62879 94333\n90735 100000\n72799 100000\n26562 39848\n8043 12072\n58791 88181\n52838 79192\n83643 100000\n66821 100000\n89160 100000\n80323 100000\n79267 100000\n65775 98671\n52538 78737\n17916 26917\n39584 59356\n38030 57029\n15016 22590\n83314 100000\n86646 100000\n74566 100000\n3408 5144\n18352 27571\n77997 100000\n73890 100000\n84960 100000\n61433 92154\n66703 100000\n8248 12385\n44827 67225\n13807 20756\n12181 18287\n91945 100000\n90106 100000\n64237 96345\n42102 63150\n46913 70316\n14965 22510\n76557 100000\n61159 91747\n86937 100000\n4133 6219\n46314 69438\n80763 100000\n18914 28443\n16601 24963\n27959 41935\n81029 100000\n77754 100000\n79896 100000\n97104 100000\n72805 100000\n37459 56166\n8963 13444\n52616 78855\n40931 61386\n4645 6993\n19893 29908\n49772 74617\n58125 87179\n58340 87513\n30256 45374\n88578 100000\n78938 100000\n29262 43885\n88694 100000\n99811 100000\n19989 30053\n43902 65844\n23782 35682\n75891 100000\n53645 80402\n20303 30521\n76301 100000\n61150 91732\n56374 84551\n73633 100000\n26265 39406\n14633 22006\n5265 7914\n38919 58349\n5376 8084\n44383 66566\n85162 100000\n46733 70052\n86243 100000\n15883 23883\n58760 88136\n95791 100000\n62799 94213\n50132 75144\n41281 61922\n58661 87985\n96641 100000\n56405 84601\n28055 42075\n22430 33667\n47179 70721\n94898 100000\n4727 7116\n20104 30221\n90615 100000\n60202 90318\n9033 13543\n20637 31014\n73803 100000\n4366 6575\n63689 95509\n69326 100000\n95716 100000\n6443 9701\n72452 100000\n65497 98243\n69378 100000\n21925 32934\n45939 68884\n20945 31487\n20173 30327\n11419 17137\n36494 54717\n33266 49883\n78514 100000\n60797 91204\n2787 4204\n93893 100000\n62649 93986\n78392 100000\n7051 10600\n475 726\n65884 98840\n21836 32805\n71659 100000\n18106 27200\n13176 19790\n64066 96084\n44346 66510\n68382 100000\n79905 100000\n54475 81667\n83653 100000\n35375 53045\n14044 21118\n37107 55638\n63683 95502\n61028 91554\n96785 100000\n82839 100000\n2685 4042\n8532 12798\n45862 68771\n72332 100000\n84681 100000\n43567 65353\n96572 100000\n4575 6890\n14388 21632\n55396 83070\n81165 100000\n29586 44361\n41828 62751\n86594 100000\n39594 59370\n16971 25502\n13480 20251\n28775 43164\n38517 57763\n6779 10193\n5601 8422\n12497 18752\n27354 41007\n88631 100000\n63755 95601\n86237 100000\n24603 36909\n2676 4031\n60832 91257\n82423 100000\n56879 85299\n70226 100000\n47307 70910\n38737 58087\n58041 87047\n65238 97850\n28125 42174\n12666 19010\n21498 32315\n75207 100000\n41743 62616\n67692 100000\n10206 15318\n4632 6975\n32967 49445\n20453 30739\n1991 2994\n41548 62322\n45350 68020\n53233 79791\n33174 49747\n76917 100000\n95055 100000\n88298 100000\n42362 63540\n93925 100000\n36063 54063\n71413 100000\n11664 17506\n424 650\n32047 48083\n93190 100000\n63615 95405\n86845 100000\n29516 44268\n13264 19918\n88941 100000\n80254 100000\n41929 62902\n63218 94823\n68358 100000\n7034 10578\n78557 100000\n4338 6530\n85459 100000\n93488 100000\n96120 100000\n36687 55009\n73700 100000\n50727 76049\n11836 17767\n33775 50647\n76347 100000\n58921 88374\n88939 100000\n77141 100000\n33283 49907\n38254 57366\n76500 100000\n84171 100000\n47802 71638\n15685 23598\n56161 84227\n68089 100000\n81290 100000\n23101 34672\n73022 100000\n61606 92410\n44230 66335\n25442 38173\n64399 96587\n79012 100000\n9978 14974\n76721 100000\n34838 52254\n59739 89634\n75323 100000\n42969 64444\n303 465\n30177 45258\n39877 59791\n63830 95718\n8962 13443\n43320 64981\n60441 90680\n43506 65263\n54966 82410\n53886 80764\n22521 33802\n44011 66013\n7922 11905\n54164 81184\n57323 85978\n58751 88121\n43476 65220\n67890 100000\n62736 94116\n90390 100000\n51197 76752\n67688 100000\n14486 21779\n24583 36881\n40597 60880\n60555 90841\n84517 100000\n59876 89838\n1930 2904\n11526 17302\n52555 78763\n58486 87729\n26941 40392\n88853 100000\n53862 80727\n9543 14319\n39850 59750\n41829 62753\n30903 46377\n33117 49662\n21914 32918\n26068 39112\n51770 77586\n61122 91691\n26001 39008\n24293 36456\n5604 8426\n81174 100000\n55194 82769\n59753 89657\n32700 49054\n31273 46928\n7619 11449\n82874 100000\n1117 1685\n26189 39289\n18383 27618\n2959 4467\n64168 96240\n12813 19226\n403 618\n94526 100000\n83045 100000\n72782 100000\n48289 72362\n58247 87363\n28734 43100\n27037 40532\n36738 55093\n74506 100000\n66822 100000\n48700 72995\n82545 100000\n86929 100000\n2242 3367\n9512 14269\n60147 90243\n6428 9684\n77793 100000\n63435 95138\n1172 1775\n78604 100000\n99906 100000\n10929 16395\n8269 12414\n36133 54168\n69728 100000\n48705 73002\n19759 29709\n60142 90237\n51552 77261\n2532 3816\n35183 52768\n824 1253\n69430 100000\n68888 100000\n89968 100000\n51115 76630\n37716 56550\n2381 3581\n39445 59140\n55021 82504\n59624 89450\n47756 71570\n53827 80675\n56572 84851\n66317 99492\n37270 55886\n8878 13321\n62522 93803\n62061 93098\n95038 100000\n32716 49078\n56522 84776\n18262 27438\n32856 49280\n31861 47803\n83068 100000\n50031 74996\n3937 5928\n98444 100000\n63777 95637\n46439 69620\n84704 100000\n10895 16345\n99081 100000\n81231 100000\n38562 57828\n44215 66310\n36009 53986\n85699 100000\n63393 95073\n50826 76197\n523 803\n61786 92681\n11100 16662\n48597 72836\n41433 62147\n34016 51006\n11930 17908\n63801 95671\n43591 65387\n60192 90304\n62014 93031\n39101 58610\n2995 4523\n86302 100000\n1033 1560\n82032 100000\n39486 59201\n63201 94797\n65867 98810\n89238 100000\n1100 1660\n97565 100000\n8444 12673\n76205 100000\n92508 100000\n92119 100000\n24418 36646\n58059 87077\n67052 100000\n15936 23961\n32677 49016\n42527 63786\n8196 12307\n75202 100000\n10922 16386\n44767 67140\n263 404\n78640 100000\n96525 100000\n84198 100000\n46157 69210\n1193 1806\n83041 100000\n45503 68247\n92529 100000\n8049 12081\n56926 85376\n94159 100000\n39878 59792\n39456 59157\n73605 100000\n6108 9188\n56584 84869\n69792 100000\n43770 65651\n56961 85426\n80191 100000\n46731 70049\n98007 100000\n73079 100000\n43464 65204\n60048 90098\n68846 100000\n64193 96278\n12714 19078\n24513 36780\n65152 97721\n40940 61399\n91506 100000\n38388 57564\n22248 33403\n99996 100000\n41389 62081\n66773 100000\n85523 100000\n85143 100000\n91612 100000\n97069 100000\n81763 100000\n55855 83764\n19109 28728\n4847 7289\n12778 19173\n24072 36122\n51219 76789\n32673 49010\n5111 7688\n56223 84322\n10297 15457\n33246 49856\n95497 100000\n82902 100000\n43804 65701\n85719 100000\n21816 32778\n11108 16675\n54516 81726\n59182 88768\n51285 76881\n65190 97775\n20123 30251\n5944 8934\n46643 69918\n7265 10923\n77052 100000\n54555 81784\n30178 45260\n48967 73393\n70405 100000\n40945 61406\n57889 86813\n57716 86564\n18329 27538\n57495 86236\n95912 100000\n53347 79970\n61921 92891\n87522 100000\n31759 47655\n69050 100000\n3365 5080\n15808 23775\n91034 100000\n86052 100000\n24321 36500\n44133 66194\n56159 84225\n48947 73366\n20781 31237\n63450 95158\n4823 7257\n93471 100000\n36975 55442\n98693 100000\n72444 100000\n53648 80406\n33068 49592\n1524 2308\n94119 100000\n42856 64275\n59708 89583\n56885 85308\n9750 14631\n41317 61977\n25106 37681\n38874 58285\n61072 91617\n95204 100000\n50609 75866\n38231 57331\n70645 100000\n19634 29520\n60341 90526\n40882 61311\n56131 84181\n52865 79235\n50358 75494\n69419 100000\n64923 97375\n34606 51902\n39455 59155\n51694 77469\n3929 5915\n66266 99417\n65281 97915\n76719 100000\n92054 100000\n95915 100000\n12448 18680\n83584 100000\n21626 32492\n61262 91896\n26057 39096\n67316 100000\n8278 12425\n53873 80742\n87458 100000\n34594 51886\n43867 65790\n31515 47285\n33210 49804\n84039 100000\n79871 100000\n98803 100000\n46219 69297\n72651 100000\n89697 100000\n65117 97665\n22857 34300\n38429 57627\n92515 100000\n7053 10604\n72201 100000\n11684 17540\n64278 96407\n77243 100000\n54141 81149\n3284 4955\n38076 57096\n43045 64556\n16118 24234\n67084 100000\n13786 20721\n46465 69655\n72969 100000\n65358 98040\n82512 100000\n259 399\n66200 99317\n40556 60816\n92041 100000\n40347 60498\n47071 70557\n94261 100000\n73126 100000\n40615 60906\n58143 87205\n29089 43624\n14786 22246\n66283 99445\n35552 53306\n22424 33660\n86863 100000\n4218 6348\n93475 100000\n58192 87278\n71117 100000\n76307 100000\n69062 100000\n33390 50066\n58739 88103\n84646 100000\n78383 100000\n9612 14423\n60842 91273\n6928 10410\n37149 55699\n24022 36051\n47630 71382\n25215 37840\n38249 57358\n41691 62534\n15785 23739\n96083 100000\n21767 32699\n95326 100000\n33690 50517\n56536 84796\n54431 81600\n35434 53135\n75856 100000\n35170 52750\n65491 98234\n69554 100000\n18310 27510\n44092 66126\n69401 100000\n91078 100000\n48531 72733\n98426 100000\n24130 36216\n34522 51772\n69966 100000\n98160 100000\n61440 92165\n92317 100000\n76879 100000\n40349 60501\n6943 10435\n91816 100000\n73008 100000\n30031 45033\n97057 100000\n7962 11959\n4254 6401\n39409 59083\n96911 100000\n35117 52667\n67881 100000\n71841 100000\n87995 100000\n65943 98930\n78172 100000\n54173 81195\n35768 53623\n20397 30659\n20645 31025\n22106 33200\n54225 81271\n79021 100000\n21290 31999\n71217 100000\n84233 100000\n5461 8208\n61512 92269\n6786 10202\n79685 100000\n52279 78349\n25540 38311\n94003 100000\n5466 8215\n99778 100000\n16026 24098\n29357 44040\n43384 65080\n43720 65582\n69024 100000\n86615 100000\n72319 100000\n32702 49056\n41449 62169\n22674 34035\n43125 64681\n84641 100000\n77891 100000\n195 299\n35419 53114\n52340 78439\n32234 48362\n84033 100000\n16901 25400\n6041 9086\n77530 100000\n36458 54667\n53377 80010\n92096 100000\n8293 12448\n6864 10317\n2915 4399\n46631 69902\n47110 70614\n17173 25810\n65210 97806\n87818 100000\n57747 86609\n80282 100000\n71081 100000\n38494 57728\n16811 25271\n57324 85979\n7947 11940\n93598 100000\n75017 100000\n54512 81722\n88193 100000\n42234 63358\n70158 100000\n54066 81035\n42820 64223\n46925 70334\n81526 100000\n93539 100000\n20187 30347\n10661 15991\n77960 100000\n65228 97837\n59504 89266\n6460 9726\n92299 100000\n99583 100000\n65291 97931\n2070 3109\n94089 100000\n64191 96274\n75163 100000\n54856 82244\n21050 31643\n78757 100000\n49322 73922\n154 234\n48677 72958\n69825 100000\n90296 100000\n7733 11618\n81582 100000\n82183 100000\n35693 53515\n39485 59199\n13775 20706\n47591 71320\n61581 92373\n71606 100000\n55431 83122\n79909 100000\n76447 100000\n71447 100000\n94563 100000\n56212 84304\n68076 100000\n50353 75486\n30229 45335\n82865 100000\n40763 61132\n64507 96743\n94478 100000\n39923 59857\n38363 57526\n35574 53339\n52809 79146\n22805 34223\n52098 78084\n75283 100000\n29097 43635\n55050 82549\n18012 27061\n98583 100000\n29450 44168\n54540 81763\n95583 100000\n23476 35225\n40153 60207\n47949 71855\n31499 47260\n33075 49602\n12818 19231\n70957 100000\n64781 97159\n18280 27464\n31329 47010\n82661 100000\n9993 14999\n73459 100000\n97652 100000\n83221 100000\n37805 56689\n72404 100000\n24933 37412\n71134 100000\n60817 91235\n51182 76731\n62475 93728\n91964 100000\n98210 100000\n42211 63320\n76283 100000\n70759 100000\n10537 15807\n59094 88631\n58300 87449\n23324 34999\n78168 100000\n50318 75431\n45150 67717\n24251 36388\n54481 81675\n42096 63140\n88684 100000\n48979 73412\n60042 90089\n71485 100000\n80553 100000\n99006 100000\n70966 100000\n49586 74326\n79446 100000\n72165 100000\n44402 66593\n73663 100000\n98042 100000\n54730 82052\n19554 29401\n48646 72912\n41216 61818\n66832 100000\n99631 100000\n50912 76329\n42218 63331\n95873 100000\n93559 100000\n43936 65897\n42373 63555\n54510 81719\n80066 100000\n28917 43377\n47312 70918\n7651 11498\n59284 88923\n26802 40196\n88995 100000\n81895 100000\n26218 39336\n56600 84892\n99649 100000\n84004 100000\n25613 38417\n59403 89097\n32205 48316\n86344 100000\n45420 68120\n68578 100000\n12459 18695\n36104 54127\n55344 82992\n77643 100000\n3555 5354\n47833 71678\n10175 15274\n86591 100000\n34887 52331\n90631 100000\n45646 68460\n15356 23109\n54706 82012\n51346 76967\n47797 71630\n66872 100000\n97820 100000\n26253 39390\n56263 84386\n7573 11384\n49695 74494\n11859 17798\n70785 100000\n79456 100000\n46194 69262\n53256 79825\n45166 67741\n5801 8719\n98304 100000\n12594 18896\n72473 100000\n53410 80057\n81717 100000\n68573 100000\n99972 100000\n42818 64220\n57541 86302\n28677 43012\n4043 6074\n84034 100000\n94695 100000\n85173 100000\n28002 41996\n14290 21484\n73204 100000\n24463 36712\n90183 100000\n95014 100000\n50140 75154\n28891 43335\n9619 14434\n38569 57837\n50186 75229\n23258 34903\n14461 21743\n64040 96043\n27437 41141\n2435 3664\n19151 28797\n73416 100000\n16494 24805\n35249 52861\n6311 9507\n4479 6739\n43324 64989\n5128 7716\n28372 42553\n77445 100000\n79323 100000\n82227 100000\n97326 100000\n7717 11591\n85982 100000\n31923 47893\n80559 100000\n43621 65430\n5138 7730\n72558 100000\n39999 59972\n30876 46336\n53668 80434\n53107 79594\n13967 20999\n82422 100000\n82891 100000\n60802 91211\n15478 23293\n84776 100000\n89886 100000\n49852 74738\n10983 16476\n27005 40482\n58609 87904\n33427 50126\n58376 87568\n5124 7708\n41886 62838\n903 1372\n42645 63959\n27247 40850\n51797 77628\n71295 100000\n13600 20440\n27651 41462\n16556 24897\n47266 70853\n63701 95526\n15292 23011\n30352 45519\n46387 69543\n13817 20771\n10535 15803\n96720 100000\n67227 100000\n73537 100000\n26210 39322\n10424 15645\n37511 56242\n35831 53720\n87698 100000\n45818 68707\n84217 100000\n69152 100000\n40836 61246\n41342 62011\n73237 100000\n91066 100000\n61729 92592\n82552 100000\n30124 45175\n43807 65704\n78817 100000\n58681 88013\n71878 100000\n79917 100000\n30623 45952\n43055 64570\n22761 34158\n99688 100000\n6239 9394\n1365 2068\n64013 95998\n5732 8610\n78885 100000\n32692 49042\n9472 14203\n18002 27046\n88760 100000\n51601 77333\n88074 100000\n269 413\n57930 86877\n6045 9091\n27582 41359\n51040 76518\n89015 100000\n36813 55210\n40773 61151\n11248 16878\n97507 100000\n95067 100000\n74509 100000\n9349 14028\n68145 100000\n61754 92631\n11096 16656\n21154 31795\n67595 100000\n39166 58705\n90853 100000\n66794 100000\n47081 70574\n49736 74558\n24028 36060\n81060 100000\n45726 68578\n92360 100000\n27349 40998\n70104 100000\n63943 95888\n92418 100000\n25612 38415\n23742 35624\n76817 100000\n55655 83470\n6335 9545\n18799 28270\n63386 95064\n28651 42971\n30041 45046\n87499 100000\n95792 100000\n3902 5872\n79719 100000\n31266 46917\n17558 26382\n6831 10268\n94703 100000\n8867 13304\n11919 17892\n64332 96484\n40197 60279\n86093 100000\n84272 100000\n16213 24377\n52519 78710\n46112 69143\n66687 100000\n31536 47316\n22624 33960\n11105 16670\n28675 43009\n23883 35835\n74010 100000\n63117 94686\n35587 53355\n93678 100000\n10540 15811\n63582 95350\n99418 100000\n76857 100000\n50761 76102\n6534 9830\n69309 100000\n70847 100000\n78910 100000\n15227 22908\n66004 99021\n3605 5426\n99087 100000\n47586 71312\n44646 66958\n87125 100000\n79331 100000\n97137 100000\n17680 26564\n125 192\n85382 100000\n67181 100000\n74900 100000\n10796 16191\n89117 100000\n56738 85089\n4821 7254\n20533 30853\n75330 100000\n21912 32915\n54710 82019\n68146 100000\n50333 75454\n98997 100000\n10382 15579\n21791 32738\n5495 8256\n85718 100000\n90653 100000\n80289 100000\n77473 100000\n2798 4221\n95029 100000\n2049 3079\n2699 4063\n37112 55645\n65922 98896\n31303 46972\n39530 59269\n38704 58039\n41018 61515\n95502 100000\n25556 38336\n56931 85381\n80030 100000\n46057 69067\n56565 84840\n85829 100000\n65875 98825\n43948 65917\n89473 100000\n83444 100000\n15721 23648\n74456 100000\n11365 17054\n16744 25175\n41567 62348\n36572 54834\n77080 100000\n34614 51912\n59398 89089\n47456 71124\n98442 100000\n55357 83012\n25410 38126\n95855 100000\n13603 20443\n5120 7702\n78014 100000\n5043 7584\n5894 8861\n53577 80299\n67387 100000\n97963 100000\n86125 100000\n59616 89436\n66043 99081\n31250 46896\n68965 100000\n35580 53347\n1933 2907\n23168 34771\n42721 64070\n67959 100000\n54124 81123\n57222 85816\n77552 100000\n87508 100000\n43802 65698\n41116 61662\n38770 58136\n45600 68394\n33931 50881\n29305 43954\n54744 82073\n4713 7093\n99562 100000\n88439 100000\n36972 55437\n18079 27163\n84281 100000\n30761 46162\n49451 74116\n9486 14229\n40142 60192\n63162 94747\n42627 63934\n75648 100000\n25561 38342\n60632 90954\n60539 90817\n89684 100000\n86364 100000\n84905 100000\n14769 22221\n88436 100000\n42347 63517\n73042 100000\n65810 98725\n99129 100000\n29320 43980\n32682 49024\n15454 23256\n57102 85635\n22283 33451\n83860 100000\n45292 67937\n29116 43664\n7933 11921\n68210 100000\n77489 100000\n94302 100000\n87638 100000\n68750 100000\n95330 100000\n30527 45802\n97506 100000\n4361 6567\n45702 68541\n44047 66063\n14134 21256\n3133 4725\n82381 100000\n29154 43722\n19705 29628\n34156 51217\n1856 2794\n94616 100000\n97384 100000\n17596 26437\n61077 91625\n66908 100000\n45907 68843\n88669 100000\n39610 59392\n55077 82588\n71497 100000\n61782 92676\n45913 68849\n86848 100000\n71897 100000\n32561 48845\n71137 100000\n62818 94245\n44470 66689\n14764 22215\n24408 36630\n96481 100000\n3988 5993\n84761 100000\n72892 100000\n63445 95151\n63067 94612\n90258 100000\n78483 100000\n30087 45116\n61984 92988\n1872 2818\n42577 63860\n1041 1571\n17908 26905\n52151 78159\n45464 68186\n62880 94334\n36189 54253\n84235 100000\n12945 19431\n1709 2573\n37922 56863\n74831 100000\n39519 59254\n10617 15922\n39924 59858\n50349 75479\n14567 21900\n51184 76734\n79128 100000\n22262 33420\n87521 100000\n76852 100000\n58413 87620\n40316 60453\n39647 59450\n56974 85448\n67396 100000\n31059 46616\n94435 100000\n59468 89207\n49562 74292\n95936 100000\n14203 21356\n58942 88407\n77956 100000\n34286 51408\n68375 100000\n38768 58133\n9627 14446\n50869 76264\n22280 33446\n5 10\n76533 100000\n25437 38166\n26258 39395\n71778 100000\n58773 88154\n75869 100000\n75621 100000\n307 472\n3525 5311\n2173 3265\n1760 2650\n6068 9128\n14648 22031\n5283 7941\n99237 100000\n20050 30144\n43740 65610\n34675 52005\n9835 14756\n47089 70585\n46563 69804\n48116 72103\n29657 44469\n18894 28415\n84494 100000\n19023 28604\n14711 22132\n32098 48161\n29747 44602\n31596 47409\n39986 59952\n30577 45878\n18641 28015\n55575 83348\n85082 100000\n96790 100000\n84194 100000\n829 1260\n19727 29660\n42393 63585\n49042 73508\n47783 71609\n70477 100000\n17375 26121\n35178 52760\n38242 57347\n14492 21786\n6317 9517\n91455 100000\n15274 22986\n45236 67848\n74998 100000\n64614 96909\n76873 100000\n39267 58870\n2489 3748\n51594 77320\n10756 16132\n11825 17750\n4372 6584\n31474 47223\n12816 19229\n72570 100000\n76923 100000\n55368 83031\n52482 78653\n31128 46715\n73176 100000\n65140 97701\n70779 100000\n78995 100000\n98799 100000\n2771 4177\n21228 31907\n16377 24623\n26542 39819\n91685 100000\n31768 47668\n33050 49567\n29831 44732\n99596 100000\n1721 2591\n75577 100000\n62692 94052\n99042 100000\n84631 100000\n48139 72137\n40180 60251\n89197 100000\n29986 44965\n13231 19872\n94458 100000\n42761 64133\n31146 46740\n12633 18955\n56740 85092\n33887 50821\n78524 100000\n27776 41656\n70365 100000\n46939 70359\n5843 8785\n96118 100000\n44707 67051\n84765 100000\n8883 13328\n64731 97086\n47184 70728\n11416 17132\n58400 87604\n83393 100000\n97612 100000\n48627 72887\n46170 69230\n50374 75520\n1943 2922\n17282 25977\n65167 97741\n96916 100000\n76699 100000\n25905 38867\n14788 22249\n79711 100000\n4393 6615\n35570 53332\n27169 40732\n63186 94780\n46702 70004\n62159 93238\n13975 21010\n92364 100000\n43929 65887\n96447 100000\n91464 100000\n49818 74689\n6945 10438\n34363 51533\n1042 1573\n33335 49986\n45840 68741\n77314 100000\n35356 53015\n45823 68716\n87186 100000\n59694 89561\n65665 98503\n13725 20632\n94140 100000\n49313 73910\n32667 49000\n53864 80729\n80134 100000\n23316 34990\n78602 100000\n86298 100000\n52366 78480\n42796 64187\n20210 30387\n30888 46357\n13513 20304\n62950 94432\n6016 9043\n52632 78879\n41595 62388\n23114 34691\n11018 16534\n91446 100000\n44612 66907\n51450 77117\n40558 60819\n79651 100000\n70902 100000\n44190 66277\n55730 83582\n46016 69000\n96839 100000\n31301 46968\n8606 12912\n77951 100000\n36449 54652\n49721 74535\n99332 100000\n71478 100000\n24425 36656\n79682 100000\n496 760\n21534 32365\n59968 89979\n23936 35918\n20775 31225\n57228 85826\n85934 100000\n56138 84191\n90268 100000\n83351 100000\n40693 61019\n67944 100000\n46934 70350\n4275 6434\n8631 12952\n26699 40045\n8381 12584\n99870 100000\n90847 100000\n68487 100000\n5442 8180\n65917 98888\n16406 24666\n8460 12695\n31219 46857\n68913 100000\n36238 54327\n28814 43221\n2307 3467\n4153 6250\n29505 44251\n61776 92668\n26749 40114\n75501 100000\n93762 100000\n60497 90755\n85937 100000\n19100 28716\n33860 50780\n55181 82751\n31200 46831\n74457 100000\n95781 100000\n37222 55810\n34822 52227\n28275 42403\n1277 1936\n60298 90460\n2633 3966\n57750 86612\n77669 100000\n23951 35942\n5553 8346\n26380 39577\n76384 100000\n50412 75577\n11378 17073\n27291 40915\n54641 81910\n54902 82312\n94840 100000\n27279 40894\n32778 49165\n934 1420\n59433 89147\n76619 100000\n39643 59446\n43859 65777\n40459 60669\n44923 67372\n67965 100000\n53499 80187\n75372 100000\n34409 51600\n48670 72944\n52346 78450\n91036 100000\n81134 100000\n18880 28394\n12277 18426\n85827 100000\n39733 59578\n6176 9298\n6542 9841\n76496 100000\n41101 61642\n53697 80478\n92776 100000\n15769 23715\n16098 24203\n54515 81725\n61015 91536\n15750 23691\n71530 100000\n49231 73787\n81360 100000\n61848 92782\n53891 80773\n20215 30395\n54393 81537\n7844 11783\n20069 30169\n47255 70834\n38120 57161\n37930 56875\n74383 100000\n78654 100000\n56229 84331\n2398 3603\n54830 82207\n50443 75621\n61326 91997\n59418 89122\n15843 23824\n5681 8536\n28916 43375\n55379 83046\n71758 100000\n92459 100000\n34630 51936\n70467 100000\n28725 43084\n73351 100000\n58876 88304\n49058 73533\n29506 44253\n42406 63608\n11974 17972\n65844 98777\n48097 72072\n42094 63137\n2671 4023\n34941 52407\n117 182\n70835 100000\n86399 100000\n20052 30147\n44102 66141\n95234 100000\n12721 19088\n52177 78198\n65260 97881\n35796 53667\n45394 68087\n74236 100000\n879 1334\n56273 84399\n94801 100000\n41911 62877\n90607 100000\n66028 99057\n10580 15868\n49714 74523\n44373 66550\n71968 100000\n237 365\n67356 100000\n14453 21730\n22219 33364\n60223 90346\n71389 100000\n91235 100000\n86639 100000\n29283 43919\n96706 100000\n67434 100000\n35329 52975\n77232 100000\n19290 28995\n16115 24229\n99729 100000\n784 1192\n43248 64867\n34252 51358\n2777 4189\n96903 100000\n957 1451\n98961 100000\n70069 100000\n67770 100000\n129 199\n65091 97632\n41580 62366\n25559 38340\n38739 58089\n99175 100000\n37235 55831\n9321 13987\n49184 73719\n48644 72909\n39533 59275\n28204 42295\n67895 100000\n29778 44651\n69817 100000\n67752 100000\n42473 63706\n18032 27091\n14520 21829\n82122 100000\n92892 100000\n4248 6394\n87832 100000\n57247 85856\n25289 37947\n67665 100000\n328 501\n79973 100000\n10612 15916\n31019 46558\n40283 60403\n94039 100000\n18294 27486\n68129 100000\n83712 100000\n96600 100000\n85039 100000\n37037 55536\n6730 10123\n35912 53845\n35411 53100\n93763 100000\n93653 100000\n67203 100000\n2707 4077\n7257 10911\n93014 100000\n56747 85100\n34477 51707\n15828 23802\n69663 100000\n12299 18455\n71814 100000\n88962 100000\n12214 18341\n66066 99117\n16630 25007\n99265 100000\n95467 100000\n70396 100000\n97427 100000\n71029 100000\n7454 11201\n785 1193\n48457 72618\n46153 69205\n34359 51526\n70244 100000\n82631 100000\n42071 63104\n34652 51969\n80246 100000\n29064 43591\n78313 100000\n87042 100000\n32787 49178\n18505 27804\n50658 75947\n96867 100000\n51414 77067\n17728 26633\n44934 67389\n99336 100000\n87672 100000\n80100 100000\n36991 55466\n35189 52776\n1522 2305\n35175 52757\n80238 100000\n36708 55041\n8937 13406\n3146 4743\n62192 93294\n96358 100000\n12490 18741\n21210 31879\n61119 91686\n20772 31221\n72547 100000\n95624 100000\n31 48\n89664 100000\n42909 64355\n53801 80633\n95826 100000\n94482 100000\n88245 100000\n6467 9733\n87705 100000\n54485 81681\n55338 82983\n53713 80501\n66348 99537\n78421 100000\n64979 97461\n85168 100000\n74338 100000\n68774 100000\n35023 52531\n73726 100000\n34019 51011\n35523 53264\n19805 29780\n74782 100000\n11335 17016\n40978 61455\n69651 100000\n559 855\n23081 34640\n4601 6926\n25069 37624\n93175 100000\n63120 94690\n91969 100000\n80144 100000\n76512 100000\n99432 100000\n89021 100000\n83537 100000\n98117 100000\n73778 100000\n10551 15827\n24227 36353\n96969 100000\n57834 86733\n768 1170\n87503 100000\n93191 100000\n71740 100000\n14651 22036\n66780 100000\n33724 50571\n30377 45560\n19660 29557\n95301 100000\n53359 79985\n30796 46219\n61496 92248\n65548 98326\n42933 64390\n30961 46471\n20698 31106\n97090 100000\n66036 99071\n33313 49952\n28281 42411\n59573 89369\n99054 100000\n5927 8908\n72003 100000\n1948 2931\n4475 6734\n93904 100000\n18926 28462\n87235 100000\n5588 8401\n75353 100000\n22231 33380\n97842 100000\n13542 20346\n25137 37724\n11800 17715\n63733 95570\n32651 48975\n48994 73435\n19435 29222\n11003 16509\n61714 92569\n59519 89288\n87920 100000\n95428 100000\n10845 16269\n60197 90312\n82247 100000\n23680 35529\n4863 7313\n47524 71218\n93311 100000\n3548 5344\n70508 100000\n451 690\n9757 14641\n11073 16618\n41203 61798\n780 1187\n6080 9146\n67956 100000\n136 209\n30971 46489\n975 1480\n98869 100000\n84545 100000\n20849 31338\n28052 42070\n11036 16560\n78294 100000\n63308 94952\n96368 100000\n60133 90225\n48126 72115\n24935 37415\n49784 74634\n49613 74366\n79149 100000\n45558 68332\n68497 100000\n91810 100000\n25906 38869\n24181 36288\n78613 100000\n25679 38513\n75489 100000\n33031 49538\n7565 11371\n15651 23548\n35196 52785\n65649 98479\n74935 100000\n50255 75335\n72291 100000\n61639 92460\n98842 100000\n99001 100000\n21799 32752\n49183 73717\n69244 100000\n10330 15505\n24286 36446\n3667 5525\n13126 19710\n78658 100000\n43830 65737\n38941 58377\n80109 100000\n33689 50516\n4336 6528\n84385 100000\n11622 17442\n34157 51219\n11742 17624\n55178 82747\n72063 100000\n5837 8774\n62930 94405\n13235 19878\n83581 100000\n28843 43265\n47387 71030\n18453 27721\n94684 100000\n65289 97927\n33393 50069\n90719 100000\n27650 41461\n42167 63250\n74677 100000\n33446 50151\n25084 37648\n93417 100000\n11856 17795\n46868 70249\n7724 11603\n97071 100000\n70097 100000\n60872 91318\n16879 25369\n94377 100000\n65926 98903\n84401 100000\n29061 43588\n65893 98855\n70977 100000\n99196 100000\n6545 9845\n4975 7485\n84339 100000\n42593 63885\n93928 100000\n87597 100000\n87023 100000\n40593 60874\n18377 27609\n21159 31801\n81099 100000\n70747 100000\n86893 100000\n63557 95312\n42652 63969\n77174 100000\n13673 20549\n83011 100000\n21022 31605\n86887 100000\n87139 100000\n18809 28286\n6676 10042\n9471 14201\n71265 100000\n12492 18743\n2565 3866\n30808 46237\n33604 50390\n37632 56430\n41407 62106\n90001 100000\n70598 100000\n82125 100000\n3451 5207\n65269 97894\n74562 100000\n88570 100000\n13976 21011\n68226 100000\n39460 59162\n79517 100000\n5244 7886\n31862 47805\n41123 61673\n35146 52710\n88009 100000\n51514 77203\n15482 23299\n11963 17955\n41879 62829\n44576 66851\n80386 100000\n60397 90612\n44533 66789\n58977 88460\n54026 80972\n89687 100000\n71075 100000\n43665 65497\n18174 27305\n67093 100000\n7401 11120\n10648 15971\n92380 100000\n22947 34434\n5933 8916\n88091 100000\n76504 100000\n53318 79927\n63204 94801\n19013 28590\n26856 40271\n75558 100000\n63828 95715\n26004 39012\n42782 64164\n12885 19337\n77907 100000\n77049 100000\n63437 95141\n5963 8964\n65769 98662\n44786 67169\n89852 100000\n24884 37337\n72918 100000\n46878 70264\n40378 60548\n66001 99017\n85968 100000\n10784 16172\n17117 25717\n47114 70620\n29484 44218\n96625 100000\n25917 38886\n42242 63368\n87195 100000\n27893 41836\n30811 46241\n21955 32979\n22872 34323\n26198 39302\n21722 32631\n80718 100000\n34258 51367\n43194 64783\n43155 64728\n98687 100000\n38638 57937\n55013 82491\n81674 100000\n2324 3497\n66990 100000\n68356 100000\n90874 100000\n655 999\n91771 100000\n27522 41272\n15096 22717\n50105 75102\n89061 100000\n69575 100000\n23412 35136\n71119 100000\n78344 100000\n8287 12438\n68023 100000\n15131 22773\n97950 100000\n18362 27586\n53300 79897\n61641 92464\n8955 13433\n46952 70374\n81719 100000\n24111 36187\n3985 5989\n46947 70367\n96459 100000\n962 1460\n97343 100000\n59008 88504\n75479 100000\n79949 100000\n59887 89854\n40540 60793\n45067 67595\n56061 84076\n84291 100000\n62314 93484\n12746 19130\n44049 66066\n79395 100000\n99832 100000\n6387 9626\n26349 39533\n43439 65164\n91999 100000\n5844 8786\n5203 7826\n11394 17101\n96144 100000\n88274 100000\n69606 100000\n24393 36609\n14286 21478\n82287 100000\n17851 26823\n58366 87551\n60655 90987\n37256 55865\n49259 73826\n21844 32818\n80832 100000\n95359 100000\n97730 100000\n9380 14072\n57770 86641\n9189 13776\n21492 32307\n68281 100000\n35665 53472\n44104 66144\n34959 52431\n42164 63246\n64858 97271\n61205 91816\n1138 1721\n2013 3027\n46501 69708\n68247 100000\n87368 100000\n47262 70846\n41807 62717\n75127 100000\n7954 11948\n15494 23315\n95322 100000\n80935 100000\n86600 100000\n40411 60597\n49380 74010\n20906 31429\n66988 100000\n86301 100000\n21704 32601\n32549 48827\n94775 100000\n54633 81897\n48365 72477\n16161 24296\n90469 100000\n65046 97561\n1851 2787\n59677 89534\n23315 34989\n75973 100000\n92588 100000\n79520 100000\n16467 24761\n42524 63781\n32172 48266\n98031 100000\n18118 27219\n64176 96254\n7504 11277\n87019 100000\n19736 29674\n14067 21154\n75493 100000\n22970 34469\n65586 98382\n9350 14030\n44120 66171\n68809 100000\n31432 47160\n65314 97967\n67040 100000\n46779 70121\n66410 99630\n44850 67261\n1196 1811\n68414 100000\n67064 100000\n27061 40568\n50837 76212\n87650 100000\n53663 80429\n6022 9051\n56226 84327\n30411 45617\n96658 100000\n21105 31726\n81217 100000\n71324 100000\n26675 40013\n11696 17560\n70403 100000\n92873 100000\n39780 59647\n82548 100000\n62931 94407\n49895 74799\n40858 61277\n49809 74675\n29942 44901\n5337 8025\n94643 100000\n31362 47057\n37006 55489\n71210 100000\n34947 52414\n61755 92632\n20638 31016\n8420 12639\n5038 7576\n70566 100000\n7397 11116\n25300 37961\n57859 86767\n15225 22905\n73846 100000\n15904 23917\n20392 30653\n6705 10087\n22387 33604\n56894 85321\n79834 100000\n13837 20800\n42337 63502\n66019 99042\n24426 36657\n28362 42535\n58256 87378\n44731 67087\n52365 78478\n60687 91037\n95474 100000\n3281 4952\n44678 67001\n50181 75220\n69694 100000\n30455 45688\n92688 100000\n92177 100000\n5914 8890\n32139 48221\n7007 10534\n18474 27755\n14835 22318\n82415 100000\n51225 76796\n24246 36382\n2014 3028\n45482 68217\n52845 79203\n80940 100000\n37634 56433\n42520 63775\n2781 4195\n47466 71135\n68624 100000\n21718 32624\n67572 100000\n81557 100000\n10518 15777\n19047 28638\n82664 100000\n86768 100000\n47147 70672\n51890 77767\n85532 100000\n17033 25588\n31905 47869\n9948 14935\n86483 100000\n43800 65694\n86935 100000\n92336 100000\n56339 84497\n93369 100000\n48034 71978\n25192 37807\n8471 12713\n42937 64394\n24982 37487\n21275 31979\n37085 55606\n52676 78948\n59776 89690\n608 932\n28866 43300\n56751 85106\n64875 97298\n12705 19065\n21910 32913\n86282 100000\n99136 100000\n78357 100000\n15144 22789\n10881 16326\n22605 33931\n20135 30271\n70557 100000\n71085 100000\n74409 100000\n21670 32553\n11531 17309\n38481 57707\n46561 69802\n30003 44990\n7028 10569\n67759 100000\n23109 34683\n19021 28601\n50011 74964\n36122 54152\n45520 68271\n91511 100000\n48842 73209\n91081 100000\n12731 19104\n53188 79722\n51990 77923\n573 879\n5352 8048\n8294 12450\n42717 64064\n2048 3077\n64676 97004\n12385 18588\n75561 100000\n9594 14395\n30080 45104\n72331 100000\n29108 43650\n45739 68598\n47525 71220\n75031 100000\n28627 42933\n75271 100000\n55232 82825\n21478 32287\n99238 100000\n93611 100000\n77902 100000\n1603 2419\n30250 45366\n14373 21608\n69247 100000\n65937 98919\n56069 84087\n68065 100000\n53654 80415\n58028 87027\n62888 94345\n67983 100000\n16153 24286\n6518 9808\n66414 99637\n90697 100000\n49443 74104\n45398 68092\n4413 6643\n95969 100000\n14419 21678\n80954 100000\n12800 19208\n7918 11899\n45199 67789\n97108 100000\n68034 100000\n98723 100000\n16477 24779\n52900 79282\n57555 86323\n47169 70704\n53310 79915\n14565 21896\n93568 100000\n3532 5323\n92566 100000\n97713 100000\n70831 100000\n74868 100000\n6639 9990\n14312 21517\n18045 27113\n69668 100000\n49504 74198\n45893 68819\n41604 62402\n87010 100000\n10574 15858\n30414 45621\n21005 31579\n41030 61533\n36174 54229\n26413 39625\n6203 9341\n2166 3252\n85504 100000\n36235 54324\n44497 66736\n72451 100000\n68366 100000\n32560 48843\n14733 22168\n16730 25155\n76525 100000\n29598 44381\n58397 87599\n32200 48308\n75827 100000\n50144 75159\n24315 36489\n4776 7194\n60699 91055\n47080 70572\n56949 85408\n92124 100000\n82547 100000\n21482 32293\n85256 100000\n61160 91749\n85022 100000\n48835 73197\n37799 56681\n8229 12357\n72164 100000\n64273 96400\n45104 67646\n24738 37115\n48508 72696\n44795 67180\n24043 36080\n55787 83672\n99955 100000\n78592 100000\n73092 100000\n8577 12869\n93422 100000\n48639 72902\n19464 29266\n77822 100000\n63562 95319\n39180 58725\n6330 9537\n71848 100000\n73435 100000\n61339 92018\n73210 100000\n49600 74347\n37971 56936\n77458 100000\n38521 57768\n57314 85963\n49996 74943\n39572 59338\n43279 64917\n71910 100000\n37751 56606\n90927 100000\n65666 98505\n17666 26544\n55373 83037\n34043 51046\n26909 40346\n5980 8989\n44261 66382\n10919 16382\n49652 74429\n79597 100000\n12941 19425\n66352 99545\n36052 54050\n35585 53352\n23837 35764\n42315 63469\n47120 70629\n29178 43755\n40134 60180\n27610 41402\n63394 95074\n70394 100000\n72519 100000\n71437 100000\n77933 100000\n96102 100000\n62704 94067\n15441 23238\n54142 81150\n78575 100000\n19857 29857\n75158 100000\n18387 27624\n36711 55047\n65171 97748\n62507 93777\n46494 69698\n77121 100000\n385 590\n30146 45209\n92747 100000\n4048 6084\n21605 32464\n15490 23311\n6999 10522\n6326 9530\n38534 57789\n90200 100000\n19264 28959\n51247 76826\n64421 96617\n28989 43484\n64599 96885\n43658 65485\n53912 80806\n76054 100000\n62869 94319\n31847 47784\n6252 9415\n83706 100000\n81415 100000\n28710 43060\n72850 100000\n71284 100000\n65461 98188\n54260 81322\n51233 76808\n24597 36902\n99600 100000\n14037 21108\n65078 97611\n44880 67311\n84566 100000\n65247 97863\n57020 85519\n33833 50739\n58929 88386\n70358 100000\n59633 89465\n38954 58397\n68515 100000\n80808 100000\n17803 26753\n3619 5448\n51962 77877\n45363 68040\n68668 100000\n47780 71603\n51348 76970\n57030 85533\n36604 54888\n72017 100000\n38552 57815\n79152 100000\n38112 57147\n3137 4731\n92721 100000\n51357 76984\n31333 47018\n40455 60663\n69970 100000\n40198 60281\n48641 72905\n25 40\n56207 84295\n75843 100000\n66457 99704\n5336 8023\n12972 19470\n97888 100000\n76973 100000\n81605 100000\n30712 46086\n3483 5253\n96998 100000\n70959 100000\n45034 67539\n44212 66306\n9019 13524\n19297 29006\n57216 85808\n1705 2566\n50178 75215\n68654 100000\n6086 9154\n38938 58373\n83534 100000\n47055 70535\n93246 100000\n81643 100000\n23170 34775\n72521 100000\n94767 100000\n16503 24820\n2654 3997\n94276 100000\n91402 100000\n29062 43589\n43453 65188\n84782 100000\n69357 100000\n26968 40428\n2793 4214\n76003 100000\n19120 28748\n47531 71228\n97146 100000\n94454 100000\n64931 97387\n16054 24138\n334 512\n56309 84456\n26241 39371\n49405 74047\n13694 20583\n96978 100000\n97862 100000\n87693 100000\n53865 80731\n1038 1566\n30993 46523\n47486 71164\n85215 100000\n58352 87530\n27736 41596\n42739 64102\n48197 72222\n71853 100000\n76106 100000\n88495 100000\n82866 100000\n29728 44575\n26018 39034\n78288 100000\n83915 100000\n64625 96927\n3355 5064\n35291 52920\n60261 90401\n53195 79733\n44460 66675\n65535 98304\n89444 100000\n23280 34935\n59572 89367\n73954 100000\n23917 35887\n36898 55327\n22307 33488\n34612 51909\n15364 23120\n36325 54467\n38912 58340\n79427 100000\n99756 100000\n52283 78354\n55075 82586\n50858 76245\n32342 48523\n88605 100000\n50363 75503\n83774 100000\n82850 100000\n61488 92238\n27189 40759\n36581 54850\n16033 24109\n49697 74497\n50253 75332\n30179 45262\n79550 100000\n44054 66072\n86492 100000\n67845 100000\n17335 26060\n26238 39366\n79549 100000\n58139 87200\n87363 100000\n83687 100000\n82115 100000\n54836 82217\n58022 87017\n85792 100000\n91711 100000\n24647 36975\n37666 56482\n61707 92559\n33295 49926\n14959 22500\n73312 100000\n11271 16913\n40592 60872\n26401 39607\n42556 63828\n11198 16802\n6652 10007\n33907 50847\n35868 53778\n10085 15136\n18835 28323\n47201 70754\n17420 26181\n69093 100000\n78537 100000\n74689 100000\n80830 100000\n51871 77742\n40897 61334\n62368 93569\n17184 25827\n43286 64930\n15795 23753\n41986 62983\n50379 75526\n3476 5243\n91297 100000\n85197 100000\n22366 33570\n7149 10753\n22653 34006\n6099 9174\n32962 49437\n5388 8100\n56451 84669\n87932 100000\n87596 100000\n62898 94359\n82544 100000\n26151 39236\n14101 21206\n42046 63070\n84326 100000\n14510 21811\n88779 100000\n55899 83830\n3343 5046\n49247 73808\n2131 3196\n56566 84842\n40299 60426\n27744 41608\n69151 100000\n70188 100000\n58768 88147\n65823 98745\n52237 78285\n44833 67234\n11968 17962\n24060 36104\n24242 36375\n6200 9336\n12190 18302\n2335 3513\n66650 99983\n2646 3986\n42281 63422\n92835 100000\n4736 7130\n22369 33575\n39756 59610\n67950 100000\n51406 77056\n33736 50588\n30447 45675\n91819 100000\n48466 72630\n36201 54270\n4703 7078\n99350 100000\n79552 100000\n95911 100000\n21435 32220\n33865 50789\n21907 32908\n61636 92455\n22288 33458\n67878 100000\n77845 100000\n12270 18417\n13385 20103\n77909 100000\n90646 100000\n7162 10770\n80013 100000\n52291 78369\n64110 96150\n59017 88516\n56176 84247\n49589 74329\n16208 24370\n93093 100000\n95449 100000\n26177 39274\n39523 59260\n83158 100000\n44193 66281\n46250 69345\n89565 100000\n14384 21626\n83894 100000\n20886 31396\n64603 96891\n13076 19635\n89187 100000\n24307 36475\n7644 11487\n75542 100000\n14107 21215\n67050 100000\n17743 26659\n39875 59788\n75696 100000\n89488 100000\n81463 100000\n91141 100000\n61985 92989\n22334 33525\n17324 26043\n44912 67357\n93957 100000\n32771 49156\n45120 67671\n9581 14377\n91514 100000\n99645 100000\n92635 100000\n89772 100000\n98507 100000\n61391 92095\n16551 24887\n95962 100000\n93892 100000\n22519 33800\n8228 12356\n31160 46764\n52848 79208\n19508 29333\n64236 96344\n87942 100000\n16990 25529\n68159 100000\n95022 100000\n53094 79576\n89920 100000\n58172 87248\n74895 100000\n52926 79323\n15624 23510\n82692 100000\n18742 28180\n21556 32400\n15248 22943\n78406 100000\n26992 40462\n90104 100000\n18247 27416\n86313 100000\n15853 23837\n13977 21013\n44044 66060\n66039 99074\n67302 100000\n27084 40604\n44015 66017\n79051 100000\n21554 32396\n95582 100000\n43815 65717\n68097 100000\n25455 38194\n39404 59075\n67266 100000\n46374 69525\n95210 100000\n30733 46117\n5113 7692\n73122 100000\n46354 69496\n20144 30285\n71713 100000\n2165 3251\n14723 22151\n29277 43909\n46205 69276\n93833 100000\n55219 82807\n73325 100000\n21676 32562\n60262 90403\n1083 1636\n2753 4151\n82478 100000\n29869 44790\n82350 100000\n60960 91453\n21994 33034\n92781 100000\n74255 100000\n22821 34248\n81968 100000\n43087 64619\n98167 100000\n70611 100000\n65663 98500\n87064 100000\n21107 31729\n11605 17418\n67369 100000\n1260 1910\n35285 52912\n7334 11027\n55235 82830\n90608 100000\n10637 15954\n63569 95329\n76715 100000\n90528 100000\n19965 30017\n84431 100000\n98490 100000\n17134 25746\n49779 74627\n92079 100000\n5232 7868\n40314 60450\n57980 86953\n53454 80122\n91316 100000\n91910 100000\n57767 86637\n92900 100000\n79650 100000\n71645 100000\n31820 47745\n23716 35581\n18615 27975\n61557 92337\n95942 100000\n72135 100000\n19636 29522\n32507 48770\n96735 100000\n25865 38804\n72483 100000\n86481 100000\n17839 26806\n73471 100000\n98303 100000\n78208 100000\n89607 100000\n74781 100000\n34351 51511\n19468 29273\n25509 38270\n67789 100000\n4832 7270\n38283 57412\n45983 68948\n12623 18940\n46499 69705\n96914 100000\n46232 69316\n84164 100000\n35219 52815\n35364 53026\n10470 15711\n36022 54008\n75223 100000\n26823 40223\n98768 100000\n50290 75391\n67658 100000\n87015 100000\n14812 22286\n65239 97852\n70682 100000\n8520 12781\n57151 85709\n1325 2010\n44501 66743\n30360 45531\n9199 13794\n846 1286\n29302 43949\n75884 100000\n32741 49113\n43927 65885\n23665 35505\n58183 87266\n57783 86663\n27472 41199\n66205 99324\n49759 74596\n68442 100000\n96672 100000\n44859 67274\n23942 35927\n43583 65377\n347 534\n92745 100000\n98585 100000\n6150 9255\n85124 100000\n59520 89290\n74714 100000\n73715 100000\n41605 62403\n59123 88677\n39495 59217\n73863 100000\n74944 100000\n58270 87399\n21487 32300\n2319 3489\n95925 100000\n46692 69989\n67129 100000\n18936 28476\n43036 64542\n734 1119\n84852 100000\n17378 26125\n13206 19839\n85967 100000\n2556 3852\n42843 64257\n52068 78044\n79804 100000\n50920 76340\n25856 38792\n86671 100000\n1502 2274\n19710 29636\n23933 35912\n96408 100000\n33936 50889\n10699 16042\n87859 100000\n39869 59778\n87275 100000\n80295 100000\n87277 100000\n90673 100000\n74314 100000\n51704 77485\n17726 26630\n1345 2039\n37179 55745\n7808 11727\n35272 52890\n40127 60170\n61155 91740\n81945 100000\n93530 100000\n57818 86714\n97348 100000\n86066 100000\n88851 100000\n24107 36181\n54321 81418\n2413 3628\n57576 86353\n97903 100000\n61888 92842\n41852 62789\n36237 54326\n58978 88461\n52718 79009\n95177 100000\n9496 14245\n13456 20217\n24559 36846\n71550 100000\n47838 71685\n42699 64036\n11980 17981\n64315 96460\n59522 89293\n2745 4140\n29536 44294\n51193 76746\n52377 78496\n41062 61585\n96475 100000\n33913 50857\n89210 100000\n13393 20116\n42935 64392\n82034 100000\n91474 100000\n7520 11303\n99702 100000\n97254 100000\n31615 47437\n95419 100000\n74886 100000\n88438 100000\n81975 100000\n19737 29676\n97305 100000\n18371 27600\n68697 100000\n35412 53102\n20583 30927\n76797 100000\n745 1137\n61147 91727\n85632 100000\n88855 100000\n48922 73327\n97378 100000\n96571 100000\n66223 99354\n69243 100000\n15244 22937\n14090 21189\n88688 100000\n17589 26428\n2214 3327\n78429 100000\n68503 100000\n24659 36996\n17838 26804\n79605 100000\n20878 31384\n92118 100000\n98839 100000\n66456 99703\n27515 41262\n27976 41960\n62353 93548\n16199 24357\n18177 27310\n17601 26443\n2819 4255\n15616 23495\n78801 100000\n97476 100000\n88607 100000\n15545 23391\n46522 69741\n55350 83003\n75096 100000\n25233 37866\n39793 59664\n75233 100000\n19164 28814\n74022 100000\n38988 58448\n98501 100000\n23749 35632\n59373 89055\n96039 100000\n45882 68802\n92487 100000\n1139 1723\n74897 100000\n73393 100000\n27910 41859\n95139 100000\n56205 84292\n71893 100000\n38102 57136\n57722 86572\n1202 1819\n8380 12582\n38169 57240\n14843 22330\n40927 61379\n53674 80442\n58948 88415\n25874 38819\n85631 100000\n43939 65903\n65267 97890\n78904 100000\n24744 37126\n95001 100000\n82782 100000\n4263 6415\n27093 40617\n43361 65043\n72251 100000\n24968 37466\n18394 27636\n47711 71502\n22811 34233\n28239 42347\n47275 70866\n27769 41646\n94579 100000\n81996 100000\n92368 100000\n66389 99601\n4771 7186\n15238 22927\n73536 100000\n84480 100000\n98873 100000\n52156 78165\n1257 1905\n80462 100000\n41199 61791\n20106 30224\n48668 72940\n16763 25200\n24522 36793\n83770 100000\n74093 100000\n15401 23176\n23664 35503\n16159 24293\n50966 76404\n31692 47554\n58201 87291\n27717 41563\n90737 100000\n80438 100000\n25166 37769\n46296 69410\n54238 81288\n57436 86151\n37731 56575\n12101 18165\n86163 100000\n49565 74296\n77920 100000\n15463 23269\n29573 44343\n9958 14950\n80312 100000\n44340 66500\n87268 100000\n61981 92984\n40470 60688\n21300 32016\n70399 100000\n18223 27382\n86350 100000\n29766 44632\n89898 100000\n46906 70305\n7344 11040\n84254 100000\n89792 100000\n33659 50473\n16624 24997\n6374 9607\n92987 100000\n65921 98894\n92319 100000\n54862 82254\n95593 100000\n20545 30868\n8657 12988\n9240 13859\n68856 100000\n83263 100000\n78935 100000\n69689 100000\n88675 100000\n9753 14636\n28515 42769\n18544 27868\n20723 31147\n59048 88566\n97081 100000\n58524 87786\n87222 100000\n83635 100000\n92908 100000\n76819 100000\n43089 64623\n75694 100000\n15349 23096\n29940 44898\n50050 75022\n14209 21367\n82120 100000\n95409 100000\n98286 100000\n83869 100000\n83023 100000\n57248 85858\n18313 27516\n10863 16297\n19651 29544\n20919 31449\n39963 59917\n49927 74843\n42637 63946\n62534 93819\n25808 38721\n29000 43500\n83185 100000\n83564 100000\n44579 66856\n53890 80771\n28382 42567\n4351 6550\n20834 31318\n22613 33943\n40606 60894\n60501 90760\n70018 100000\n5091 7660\n2920 4405\n23084 34645\n23965 35967\n17467 26252\n65503 98253\n19749 29693\n80894 100000\n64004 95983\n94761 100000\n4223 6356\n26041 39069\n24874 37323\n5271 7923\n83801 100000\n69351 100000\n89148 100000\n54161 81179\n93453 100000\n97196 100000\n64267 96390\n49333 73938\n53414 80065\n62582 93884\n58385 87581\n52 81\n51740 77540\n52041 78000\n73424 100000\n20996 31565\n43996 65989\n87140 100000\n20265 30465\n75778 100000\n47226 70789\n99115 100000\n42837 64248\n46287 69396\n27422 41117\n97316 100000\n77471 100000\n72652 100000\n70525 100000\n80070 100000\n30462 45697\n2315 3481\n61619 92429\n68943 100000\n96092 100000\n83352 100000\n24961 37455\n2864 4322\n20441 30720\n40655 60967\n78481 100000\n27050 40550\n55710 83552\n38270 57391\n6325 9528\n45379 68064\n13780 20714\n94901 100000\n76376 100000\n82538 100000\n37350 55999\n76242 100000\n7660 11512\n58926 88382\n23261 34909\n24526 36799\n86844 100000\n49951 74876\n91088 100000\n79519 100000\n88383 100000\n55938 83888\n13497 20278\n83761 100000\n91032 100000\n90548 100000\n79747 100000\n99795 100000\n43481 65226\n89551 100000\n17193 25841\n24893 37348\n71178 100000\n19134 28770\n6279 9455\n24314 36487\n32763 49143\n89698 100000\n91415 100000\n38308 57449\n47032 70499\n15124 22761\n9536 14309\n44657 66972\n24963 37458\n9584 14382\n531 815\n77395 100000\n22060 33129\n16449 24731\n1532 2319\n12509 18769\n19197 28862\n77888 100000\n38241 57346\n22526 33810\n49846 74730\n87151 100000\n5778 8681\n43487 65235\n42379 63565\n69618 100000\n92973 100000\n76040 100000\n13001 19520\n16160 24294\n32923 49382\n31088 46657\n73976 100000\n46840 70207\n17941 26955\n8384 12587\n26990 40459\n21988 33026\n20867 31364\n41183 61766\n56677 85002\n44986 67461\n6191 9321\n42365 63544\n95142 100000\n83177 100000\n14127 21244\n2910 4392\n88945 100000\n70619 100000\n94973 100000\n71099 100000\n24503 36765\n96837 100000\n78448 100000\n60777 91174\n53910 80803\n79556 100000\n70635 100000\n43307 64961\n44494 66730\n92831 100000\n72282 100000\n47126 70638\n86040 100000\n43075 64602\n23741 35622\n13978 21015\n14071 21160\n28735 43102\n91495 100000\n80989 100000\n55868 83782\n40277 60394\n41060 61583\n13909 20910\n46298 69414\n34908 52362\n48255 72308\n75383 100000\n6846 10293\n71234 100000\n51996 77931\n90999 100000\n52710 78997\n26062 39104\n95143 100000\n6310 9506\n74641 100000\n86507 100000\n20650 31032\n73709 100000\n50042 75010\n26417 39632\n52418 78560\n49078 73559\n7279 10944\n59566 89357\n84700 100000\n64096 96128\n58103 87142\n66 102\n3968 5966\n39942 59888\n83715 100000\n11076 16623\n19650 29543\n61349 92032\n41195 61784\n57581 86360\n76914 100000\n71421 100000\n764 1164\n47566 71281\n93158 100000\n78051 100000\n69164 100000\n93367 100000\n38905 58329\n75559 100000\n191 292\n64945 97411\n97185 100000\n45040 67549\n36082 54092\n33609 50397\n40174 60243\n4959 7461\n28731 43094\n29666 44482\n37985 56961\n786 1194\n23454 35195\n67861 100000\n65667 98506\n87088 100000\n79660 100000\n62348 93540\n15804 23769\n32616 48922\n92248 100000\n45110 67655\n84322 100000\n66349 99539\n58808 88205\n47613 71356\n59773 89686\n3216 4854\n4198 6319\n23668 35509\n98429 100000\n19311 29027\n87209 100000\n27741 41603\n39464 59167\n29759 44620\n3581 5392\n60005 90032\n28182 42260\n21536 32367\n71233 100000\n57254 85867\n93151 100000\n95986 100000\n30310 45454\n57241 85845\n7611 11437\n66708 100000\n60790 91195\n8842 13269\n31672 47523\n70634 100000\n57529 86284\n86213 100000\n33622 50417\n77126 100000\n7911 11888\n17166 25798\n42996 64484\n2861 4317\n80842 100000\n31693 47555\n3326 5019\n23757 35645\n51474 77147\n33678 50501\n93206 100000\n10472 15713\n31168 46778\n65552 98332\n76267 100000\n42755 64126\n33926 50876\n10450 15684\n2516 3791\n69030 100000\n23082 34642\n47954 71862\n43678 65515\n83963 100000\n52116 78109\n24721 37089\n27234 40828\n33170 49742\n66701 100000\n57392 86085\n20711 31129\n81158 100000\n93169 100000\n31716 47590\n80210 100000\n77359 100000\n64825 97223\n29075 43604\n4600 6925\n85806 100000\n77456 100000\n34447 51660\n46341 69479\n51410 77062\n63083 94638\n57876 86794\n97191 100000\n79089 100000\n60589 90892\n88350 100000\n44919 67368\n25569 38353\n32789 49181\n63446 95152\n1086 1640\n6798 10219\n95594 100000\n41785 62683\n30824 46258\n95728 100000\n32647 48967\n28890 43334\n47 74\n42181 63273\n94121 100000\n7793 11707\n8240 12373\n30061 45075\n43221 64825\n3712 5590\n14582 21922\n77122 100000\n44165 66238\n79082 100000\n96018 100000\n78994 100000\n30133 45188\n17259 25941\n2865 4323\n42874 64302\n33356 50013\n4815 7247\n62627 93956\n22930 34410\n64704 97048\n11471 17219\n12631 18952\n19483 29297\n22505 33780\n2325 3499\n52293 78372\n31368 47066\n70844 100000\n61629 92445\n61783 92678\n62335 93520\n96210 100000\n19907 29927\n23282 34939\n59947 89946\n87470 100000\n21334 32069\n37045 55547\n94345 100000\n32134 48215\n31725 47606\n31921 47890\n13496 20277\n83157 100000\n57047 85554\n87724 100000\n1873 2820\n79600 100000\n32325 48493\n64871 97292\n77976 100000\n67670 100000\n21748 32671\n57696 86534\n52221 78265\n51455 77123\n72061 100000\n78724 100000\n41444 62162\n22479 33744\n86 135\n38182 57259\n69119 100000\n14291 21486\n54196 81228\n64299 96439\n94453 100000\n62535 93820\n27300 40929\n6319 9520\n24177 36281\n20788 31246\n46746 70072\n8104 12167\n65329 97991\n61686 92529\n42344 63513\n78698 100000\n72215 100000\n96762 100000\n58223 87324\n43928 65886\n30062 45076\n65990 98999\n78807 100000\n33252 49865\n56951 85412\n98123 100000\n44715 67063\n38472 57692\n78135 100000\n16526 24849\n43216 64816\n43866 65788\n59023 88526\n95540 100000\n4146 6238\n93596 100000\n76778 100000\n50840 76217\n68048 100000\n71225 100000\n6115 9199\n52763 79075\n39905 59830\n9965 14958\n15073 22682\n79960 100000\n23552 35337\n87709 100000\n27882 41818\n29129 43685\n82019 100000\n84991 100000\n77469 100000\n62493 93757\n9009 13508\n80408 100000\n12056 18100\n60581 90880\n23060 34608\n82417 100000\n46450 69635\n12865 19307\n53571 80290\n10386 15585\n4944 7441\n60407 90627\n2881 4348\n90347 100000\n43516 65277\n77125 100000\n41142 61701\n35203 52794\n27926 41884\n8917 13380\n38248 57357\n9787 14688\n91105 100000\n53427 80084\n23774 35671\n58697 88036\n65827 98750\n24120 36201\n24151 36244\n68068 100000\n32917 49373\n15071 22679\n78906 100000\n64150 96213\n83765 100000\n10265 15412\n75590 100000\n79472 100000\n38825 58211\n62684 94039\n22104 33197\n92606 100000\n20323 30550\n23239 34874\n25353 38040\n41426 62137\n18782 28241\n50746 76081\n77791 100000\n930 1415\n87997 100000\n95131 100000\n49251 73814\n5598 8416\n61952 92941\n11636 17466\n18515 27821\n98543 100000\n15429 23218\n88244 100000\n4524 6807\n62131 93193\n53271 79847\n77803 100000\n33289 49916\n26165 39255\n20804 31273\n16973 25505\n76588 100000\n55534 83284\n80040 100000\n60119 90204\n56987 85467\n21904 32904\n89802 100000\n87379 100000\n40436 60632\n32411 48626\n4955 7457\n79621 100000\n56573 84852\n33256 49871\n54632 81896\n43078 64606\n14025 21088\n74125 100000\n23613 35427\n87822 100000\n67730 100000\n20604 30962\n39437 59129\n58699 88040\n54952 82388\n83903 100000\n95777 100000\n52967 79382\n28266 42387\n7171 10783\n8469 12710\n2773 4181\n50567 75803\n62484 93741\n69726 100000\n58419 87630\n53121 79613\n63685 95504\n24411 36635\n42867 64293\n98079 100000\n92254 100000\n33311 49948\n64545 96804\n41337 62002\n90397 100000\n9578 14372\n33211 49805\n12087 18145\n60277 90426\n64288 96421\n26431 39654\n32591 48884\n94013 100000\n99270 100000\n76459 100000\n76022 100000\n60669 91010\n67639 100000\n28605 42898\n41140 61699\n59047 88564\n31812 47732\n5094 7664\n83972 100000\n31721 47600\n43064 64585\n29441 44156\n23085 34647\n72018 100000\n9667 14504\n19757 29705\n7101 10678\n7842 11780\n27318 40953\n94450 100000\n52372 78487\n48315 72400\n41411 62114\n61393 92098\n16486 24792\n44644 66955\n90855 100000\n98531 100000\n41572 62355\n6919 10396\n43367 65052\n5207 7831\n89652 100000\n49745 74572\n76815 100000\n56790 85168\n83960 100000\n70862 100000\n24197 36311\n19299 29008\n92975 100000\n22583 33897\n31602 47417\n91937 100000\n42681 64008\n58043 87050\n80771 100000\n71636 100000\n66579 99879\n86963 100000\n71287 100000\n15111 22741\n31496 47254\n86025 100000\n47569 71286\n45161 67733\n2185 3285\n49995 74942\n40371 60536\n67777 100000\n73116 100000\n57163 85726\n95408 100000\n88500 100000\n79938 100000\n71024 100000\n79527 100000\n92376 100000\n96387 100000\n13702 20598\n99007 100000\n54272 81343\n99774 100000\n1593 2402\n27275 40888\n67943 100000\n72597 100000\n85296 100000\n49636 74402\n95753 100000\n83545 100000\n45374 68056\n85292 100000\n18145 27258\n49822 74696\n94852 100000\n53446 80111\n94029 100000\n87632 100000\n64969 97446\n39132 58655\n44600 66888\n77847 100000\n98002 100000\n7943 11936\n82275 100000\n43816 65719\n14960 22502\n19936 29975\n90638 100000\n77492 100000\n77035 100000\n86827 100000\n21192 31849\n44601 66889\n67891 100000\n97962 100000\n19067 28668\n76110 100000\n13919 20927\n9116 13665\n65311 97963\n10565 15845\n72606 100000\n85402 100000\n40369 60532\n14464 21748\n75942 100000\n12617 18931\n74771 100000\n16057 24143\n57605 86396\n77894 100000\n93910 100000\n14623 21988\n36608 54893\n5684 8541\n81285 100000\n33245 49854\n86202 100000\n88625 100000\n76197 100000\n24284 36443\n68681 100000\n68407 100000\n3083 4651\n91517 100000\n38549 57812\n99694 100000\n35027 52536\n55877 83797\n51664 77422\n8619 12932\n49640 74409\n61768 92653\n49734 74555\n86809 100000\n31170 46781\n52943 79349\n98032 100000\n33799 50690\n71100 100000\n25571 38355\n45349 68018\n57903 86836\n84820 100000\n22891 34351\n55240 82836\n20393 30654\n73681 100000\n22409 33635\n64645 96957\n45690 68525\n45300 67948\n14015 21072\n81396 100000\n74107 100000\n88726 100000\n2615 3941\n59135 88695\n74296 100000\n2924 4412\n85596 100000\n33488 50217\n60396 90611\n68887 100000\n66853 100000\n24711 37075\n6167 9284\n43642 65461\n92250 100000\n64805 97196\n97741 100000\n98746 100000\n83181 100000\n49289 73873\n35669 53478\n82184 100000\n53153 79663\n33569 50338\n93401 100000\n82872 100000\n15443 23240\n41194 61783\n84893 100000\n70192 100000\n19332 29063\n21473 32280\n3202 4830\n57776 86651\n74599 100000\n7672 11531\n2086 3129\n99243 100000\n25011 37531\n3437 5188\n3693 5561\n1334 2024\n38921 58353\n3039 4585\n83897 100000\n7576 11388\n77587 100000\n78550 100000\n69669 100000\n83374 100000\n36342 54491\n50266 75353\n98920 100000\n2599 3918\n59497 89255\n78106 100000\n64905 97346\n35163 52739\n3313 5001\n96158 100000\n80897 100000\n37732 56577\n86795 100000\n63398 95081\n56055 84066\n30583 45887\n35635 53429\n61038 91569\n56550 84817\n41542 62312\n19314 29032\n18763 28214\n75051 100000\n92986 100000\n70980 100000\n21878 32869\n2622 3951\n4968 7474\n5857 8808\n26422 39639\n70712 100000\n68092 100000\n59992 90013\n34632 51938\n59554 89339\n90260 100000\n70850 100000\n95681 100000\n98967 100000\n55588 83367\n381 584\n95046 100000\n75635 100000\n87113 100000\n48934 73347\n70360 100000\n5690 8551\n72721 100000\n18551 27877\n83997 100000\n15127 22767\n96778 100000\n35067 52594\n99786 100000\n4065 6113\n49111 73611\n77278 100000\n89667 100000\n95741 100000\n48306 72387\n35575 53340\n40673 60990\n85873 100000\n25443 38175\n88831 100000\n77855 100000\n5052 7599\n25034 37564\n31617 47440\n46190 69257\n61610 92416\n95499 100000\n80453 100000\n76596 100000\n12874 19321\n7103 10680\n87770 100000\n67552 100000\n84644 100000\n55481 83202\n74548 100000\n67604 100000\n63527 95272\n30090 45121\n51850 77706\n94401 100000\n59336 88999\n2662 4010\n94765 100000\n5342 8034\n53350 79974\n16366 24607\n18094 27183\n74007 100000\n10934 16402\n71650 100000\n76697 100000\n2887 4357\n94780 100000\n94421 100000\n71992 100000\n49237 73795\n12147 18233\n49610 74362\n23023 34544\n2683 4040\n64517 96760\n83452 100000\n45984 68950\n70002 100000\n12607 18916\n10847 16273\n71115 100000\n75536 100000\n23737 35615\n25099 37671\n28442 42655\n15647 23543\n95556 100000\n21045 31637\n33298 49930\n70680 100000\n39817 59702\n88609 100000\n98082 100000\n47534 71234\n23804 35714\n71101 100000\n51513 77202\n80893 100000\n51293 76890\n4392 6613\n78159 100000\n9426 14136\n62530 93814\n62011 93027\n91030 100000\n51129 76652\n62924 94395\n58496 87743\n17256 25938\n3792 5714\n95924 100000\n23943 35929\n94933 100000\n65500 98248\n46244 69335\n22272 33434\n84760 100000\n48001 71934\n50854 76239\n87449 100000\n26123 39193\n33291 49919\n18105 27199\n72108 100000\n77099 100000\n49246 73806\n43103 64647\n8845 13272\n18970 28526\n64227 96331\n1609 2427\n18937 28477\n30851 46296\n35007 52507\n42855 64274\n29311 43964\n9423 14131\n49963 74894\n64946 97413\n73026 100000\n9314 13978\n92633 100000\n88345 100000\n98197 100000\n49273 73845\n6605 9936\n35730 53568\n17937 26949\n59055 88574\n60844 91276\n92949 100000\n43265 64892\n89548 100000\n8419 12637\n2037 3061\n19780 29741\n83777 100000\n49595 74338\n59278 88915\n60854 91290\n79214 100000\n84069 100000\n80516 100000\n30134 45190\n61362 92054\n16976 25510\n50535 75758\n74876 100000\n55137 82685\n8823 13238\n56657 84975\n81652 100000\n92618 100000\n63151 94732\n32022 48046\n3647 5493\n43060 64579\n10687 16023\n77890 100000\n25056 37599\n39001 58466\n89029 100000\n61978 92979\n17234 25903\n40569 60839\n75379 100000\n48299 72378\n92654 100000\n97086 100000\n72131 100000\n62531 93816\n62827 94258\n19132 28767\n1599 2413\n40959 61427\n84032 100000\n5310 7984\n88327 100000\n51421 77078\n38282 57411\n91534 100000\n8648 12975\n2515 3789\n80707 100000\n48465 72629\n50413 75578\n55114 82649\n96824 100000\n46258 69356\n30815 46246\n30095 45128\n8706 13063\n29119 43669\n69153 100000\n89164 100000\n43268 64898\n25726 38591\n12999 19517\n21526 32354\n51265 76852\n56444 84659\n56228 84330\n71033 100000\n1761 2652\n28742 43112\n25066 37618\n6314 9511\n94521 100000\n17769 26699\n46338 69474\n28309 42455\n61312 91977\n98234 100000\n11483 17236\n65367 98055\n36005 53980\n49035 73498\n32068 48119\n63405 95090\n38401 57584\n27517 41266\n54377 81511\n38626 57917\n62840 94280\n978 1484\n5620 8449\n55413 83094\n1562 2362\n99233 100000\n59702 89572\n53698 80479\n1318 1998\n84228 100000\n3283 4954\n75752 100000\n95928 100000\n28796 43193\n27074 40588\n57022 85522\n21324 32052\n25490 38242\n39181 58727\n9828 14747\n79164 100000\n47660 71428\n71273 100000\n10985 16480\n28944 43419\n84337 100000\n19591 29455\n72685 100000\n71438 100000\n18642 28017\n27177 40742\n65972 98969\n72923 100000\n34445 51656\n96424 100000\n72024 100000\n302 463\n27281 40897\n57546 86311\n35071 52600\n29298 43942\n41266 61899\n93472 100000\n92230 100000\n52353 78461\n49998 74946\n17037 25595\n70820 100000\n67662 100000\n91903 100000\n35821 53705\n4388 6606\n25373 38069\n28335 42494\n39653 59459\n90282 100000\n93320 100000\n66704 100000\n34879 52319\n24306 36474\n6357 9579\n93164 100000\n90882 100000\n49625 74383\n80197 100000\n80396 100000\n46958 70385\n53172 79696\n29748 44603\n32986 49472\n63399 95082\n26888 40314\n88178 100000\n33594 50374\n21797 32748\n97519 100000\n45070 67599\n75204 100000\n20718 31140\n57524 86278\n47267 70854\n9661 14493\n48313 72397\n14572 21908\n66815 100000\n13130 19714\n8410 12624\n99883 100000\n76640 100000\n94292 100000\n45098 67637\n82054 100000\n46473 69667\n29590 44369\n40732 61082\n94138 100000\n12162 18256\n47777 71598\n81913 100000\n46931 70345\n89872 100000\n1631 2459\n27022 40510\n68531 100000\n49163 73688\n67973 100000\n70031 100000\n33957 50922\n59483 89232\n62755 94147\n43496 65248\n2422 3641\n5032 7566\n21535 32366\n84948 100000\n26540 39816\n21225 31903\n67900 100000\n96034 100000\n46468 69658\n52889 79269\n50851 76234\n42227 63346\n99790 100000\n19184 28843\n48451 72608\n49200 73742\n23715 35580\n31324 47004\n31482 47234\n59821 89758\n91375 100000\n64809 97204\n71069 100000\n60897 91360\n59035 88546\n58722 88076\n7676 11536\n50706 76016\n23127 34709\n9390 14087\n25176 37783\n33439 50143\n20580 30921\n76732 100000\n48617 72869\n36452 54656\n69657 100000\n5558 8354\n35392 53071\n46578 69821\n16846 25324\n67948 100000\n71172 100000\n32941 49408\n95308 100000\n22899 34364\n94395 100000\n34490 51726\n87159 100000\n76989 100000\n72884 100000\n83538 100000\n22024 33079\n61855 92792\n88591 100000\n97405 100000\n59716 89596\n4257 6405\n70173 100000\n65004 97495\n98475 100000\n55197 82774\n95576 100000\n49083 73567\n75312 100000\n41861 62802\n721 1097\n50088 75074\n87688 100000\n21127 31755\n51497 77180\n5964 8965\n79903 100000\n47934 71832\n4395 6618\n92934 100000\n67264 100000\n80712 100000\n96805 100000\n9169 13747\n38345 57499\n80208 100000\n13159 19765\n40641 60946\n73087 100000\n50462 75651\n42331 63493\n17198 25849\n94173 100000\n99355 100000\n20716 31138\n4758 7164\n17622 26475\n31763 47660\n69481 100000\n82678 100000\n56101 84137\n48346 72450\n38762 58126\n90461 100000\n26734 40092\n80054 100000\n90704 100000\n27884 41822\n73220 100000\n55624 83423\n80825 100000\n42905 64348\n52622 78862\n75756 100000\n36344 54495\n80437 100000\n5557 8352\n27322 40958\n19633 29519\n54922 82345\n48317 72403\n24864 37306\n46995 70441\n45407 68105\n92111 100000\n9336 14008\n15359 23114\n34207 51291\n67029 100000\n90876 100000\n11197 16801\n81127 100000\n64015 96002\n64382 96559\n13056 19604\n87093 100000\n66201 99318\n24795 37204\n7770 11674\n27588 41367\n43786 65673\n8613 12922\n83478 100000\n48411 72545\n63276 94910\n9145 13709\n43920 65873\n70967 100000\n216 333\n2309 3470\n99069 100000\n50428 75599\n65162 97733\n28766 43151\n23952 35943\n15245 22938\n98483 100000\n41682 62519\n16376 24622\n43813 65713\n210 324\n69472 100000\n12343 18525\n33596 50378\n90718 100000\n74376 100000\n9377 14068\n19616 29496\n58482 87722\n28441 42654\n31533 47310\n73189 100000\n58832 88239\n42284 63426\n23706 35568\n75983 100000\n85205 100000\n74462 100000\n76443 100000\n31737 47624\n39911 59838\n79808 100000\n88724 100000\n52037 77994\n82238 100000\n94187 100000\n10357 15543\n50270 75359\n2481 3735\n70176 100000\n56422 84626\n34147 51203\n13239 19883\n29499 44240\n1539 2329\n41551 62326\n47232 70797\n56701 85040\n83819 100000\n91029 100000\n73409 100000\n22428 33665\n10917 16379\n53183 79715\n50700 76007\n95852 100000\n99921 100000\n60083 90150\n86188 100000\n10240 15371\n97251 100000\n54156 81171\n87005 100000\n24405 36627\n40055 60059\n54511 81721\n98792 100000\n72259 100000\n21346 32084\n76546 100000\n14655 22043\n29261 43884\n82199 100000\n74809 100000\n79040 100000\n90257 100000\n12017 18037\n81239 100000\n30694 46059\n59658 89506\n88843 100000\n63225 94833\n49970 74904\n93961 100000\n34458 51677\n85119 100000\n20769 31217\n28271 42396\n11769 17667\n66373 99576\n12397 18605\n45447 68159\n34170 51239\n80006 100000\n47940 71841\n23361 35058\n25667 38497\n14315 21521\n70948 100000\n35099 52639\n39035 58516\n87004 100000\n7827 11757\n75072 100000\n78823 100000\n4766 7178\n72390 100000\n89155 100000\n47563 71278\n73706 100000\n45511 68257\n78673 100000\n85975 100000\n43896 65833\n58301 87451\n59513 89280\n48964 73389\n70052 100000\n67614 100000\n37117 55652\n85225 100000\n31632 47461\n15759 23703\n30659 46004\n70216 100000\n66346 99534\n64174 96250\n40458 60667\n56301 84444\n59467 89205\n1297 1965\n87546 100000\n58145 87208\n14509 21810\n92221 100000\n98025 100000\n73466 100000\n79494 100000\n68956 100000\n42148 63221\n41451 62172\n56155 84218\n7170 10781\n49427 74078\n58855 88272\n5640 8479\n47805 71644\n13070 19624\n7790 11704\n12559 18843\n95292 100000\n69157 100000\n63500 95234\n27869 41800\n73918 100000\n29637 44440\n76303 100000\n74003 100000\n66681 100000\n35898 53823\n20535 30855\n10623 15932\n20658 31044\n45118 67667\n14302 21504\n11350 17036\n39487 59203\n36276 54392\n58504 87754\n51627 77368\n47017 70477\n58129 87185\n98598 100000\n10842 16264\n30512 45775\n24483 36740\n66142 99233\n48830 73189\n17542 26360\n29023 43534\n60966 91463\n79584 100000\n79173 100000\n15130 22771\n16872 25360\n16004 24065\n70537 100000\n92673 100000\n31849 47787\n79697 100000\n82466 100000\n47899 71773\n73199 100000\n71840 100000\n49857 74745\n45171 67750\n57907 86842\n14901 22413\n78976 100000\n13366 20073\n63421 95117\n58393 87593\n99652 100000\n9246 13869\n95172 100000\n66494 99757\n78730 100000\n93066 100000\n21446 32235\n83112 100000\n80441 100000\n41530 62291\n68813 100000\n4939 7433\n79015 100000\n4256 6404\n18190 27329\n23922 35895\n46723 70035\n10280 15433\n51860 77721\n53628 80379\n14133 21254\n84993 100000\n54189 81218\n90889 100000\n69454 100000\n33533 50283\n65499 98247\n1740 2620\n6606 9937\n86522 100000\n29438 44152\n54750 82082\n77887 100000\n37063 55572\n6207 9346\n87776 100000\n48688 72976\n16894 25391\n61381 92083\n5659 8506\n98185 100000\n40646 60954\n51887 77764\n40047 60046\n81521 100000\n10025 15045\n77282 100000\n26666 40002\n59449 89175\n42157 63235\n11193 16795\n34563 51834\n18263 27439\n72432 100000\n3960 5955\n79358 100000\n33001 49494\n97074 100000\n12195 18310\n85804 100000\n7351 11051\n39599 59378\n86387 100000\n98560 100000\n10429 15654\n10192 15300\n98680 100000\n77189 100000\n68079 100000\n45059 67580\n80610 100000\n64637 96944\n87461 100000\n46118 69153\n78517 100000\n13340 20035\n63895 95820\n47111 70616\n81662 100000\n54887 82290\n33235 49838\n9579 14373\n73269 100000\n93525 100000\n71151 100000\n59236 88849\n17594 26434\n48290 72363\n88532 100000\n97841 100000\n74137 100000\n89218 100000\n23445 35182\n92145 100000\n76946 100000\n92689 100000\n6273 9445\n6193 9324\n49379 74008\n48719 73022\n65076 97608\n92180 100000\n25513 38274\n16395 24650\n68870 100000\n45729 68583\n35137 52697\n1938 2914\n95651 100000\n71877 100000\n90627 100000\n47106 70607\n35278 52901\n16888 25382\n30986 46511\n90364 100000\n3710 5587\n67412 100000\n21938 32955\n21383 32139\n72603 100000\n63973 95929\n68728 100000\n40334 60479\n92149 100000\n2690 4050\n61372 92069\n31837 47770\n19145 28789\n53479 80157\n2188 3289\n34180 51254\n55358 83014\n88221 100000\n34787 52174\n78428 100000\n29093 43630\n39428 59116\n75375 100000\n65224 97830\n46108 69138\n3663 5518\n49172 73703\n40172 60240\n31372 47071\n912 1386\n56569 84847\n78717 100000\n34425 51624\n41057 61579\n94927 100000\n85910 100000\n13568 20385\n37661 56474\n88086 100000\n87918 100000\n56983 85461\n61578 92367\n96743 100000\n50271 75361\n31073 46637\n98492 100000\n25001 37517\n88795 100000\n88275 100000\n14324 21536\n67289 100000\n94321 100000\n664 1013\n88387 100000\n97604 100000\n75562 100000\n90000 100000\n71390 100000\n14018 21076\n32187 48287\n25982 38979\n41192 61780\n17758 26682\n54157 81173\n49089 73575\n51805 77639\n55128 82672\n11087 16642\n69018 100000\n40190 60266\n37547 56292\n91020 100000\n19192 28855\n26079 39129\n77156 100000\n29043 43562\n24683 37030\n49015 73466\n98697 100000\n32064 48112\n12776 19170\n93617 100000\n80642 100000\n42893 64330\n85992 100000\n24081 36137\n9593 14393\n36097 54116\n97599 100000\n73249 100000\n82092 100000\n50621 75887\n42330 63492\n73716 100000\n36230 54316\n25067 37620\n14488 21781\n95165 100000\n12284 18436\n75675 100000\n27792 41680\n57242 85847\n8548 12821\n68821 100000\n85495 100000\n77421 100000\n7075 10640\n64464 96681\n8242 12376\n92553 100000\n50468 75659\n59546 89326\n99017 100000\n73546 100000\n76090 100000\n30674 46029\n60913 91383\n57141 85693\n52524 78718\n28257 42374\n46977 70413\n76478 100000\n5254 7899\n2429 3653\n3319 5010\n47217 70776\n85948 100000\n59909 89888\n26344 39527\n83493 100000\n54147 81157\n22249 33404\n15678 23586\n8874 13314\n25245 37884\n1505 2278\n36128 54161\n29026 43538\n99846 100000\n42089 63129\n33285 49910\n73767 100000\n57360 86034\n98835 100000\n77939 100000\n84121 100000\n43885 65815\n23056 34602\n1936 2911\n53388 80026\n57839 86738\n27265 40874\n12473 18718\n73232 100000\n53573 80294\n56736 85086\n9017 13521\n24598 36903\n17434 26203\n23040 34575\n13580 20405\n7176 10790\n91866 100000\n57012 85506\n50703 76012\n48386 72508\n41353 62027\n47187 70732\n33490 50221\n83883 100000\n18443 27706\n56943 85401\n13339 20033\n21639 32511\n37572 56332\n77731 100000\n99865 100000\n98810 100000\n91423 100000\n72907 100000\n53112 79599\n41925 62896\n29483 44217\n71876 100000\n83359 100000\n13252 19902\n2063 3102\n26533 39805\n175 267\n43393 65093\n81528 100000\n8651 12979\n60688 91038\n76733 100000\n25542 38315\n60381 90586\n16904 25405\n84178 100000\n55989 83965\n15340 23082\n42974 64453\n12507 18766\n50378 75524\n80938 100000\n20272 30473\n11979 17980\n38453 57665\n39798 59671\n30028 45029\n51154 76689\n92448 100000\n59150 88720\n81612 100000\n62779 94185\n55932 83881\n35060 52582\n50760 76100\n7664 11517\n30563 45855\n67009 100000\n58541 87809\n59091 88627\n95850 100000\n42636 63945\n62249 93381\n42896 64334\n4849 7292\n64766 97135\n81631 100000\n5567 8368\n92132 100000\n87104 100000\n65618 98433\n78020 100000\n5547 8335\n32969 49447\n78983 100000\n9725 14592\n79385 100000\n22394 33613\n30046 45054\n87100 100000\n31543 47327\n74481 100000\n22739 34126\n61048 91583\n95113 100000\n6819 10249\n74880 100000\n96880 100000\n33611 50400\n67970 100000\n70773 100000\n96653 100000\n12368 18562\n95515 100000\n25544 38317\n46514 69729\n40456 60664\n19702 29623\n3903 5874\n63037 94565\n34493 51731\n73724 100000\n9791 14692\n68420 100000\n4506 6778\n32521 48789\n6792 10211\n80420 100000\n24006 36028\n45371 68052\n63306 94949\n51622 77362\n22336 33527\n84223 100000\n28419 42621\n86400 100000\n11923 17898\n68476 100000\n81577 100000\n32697 49050\n79430 100000\n10337 15514\n16237 24414\n69610 100000\n81802 100000\n25262 37909\n47129 70644\n90477 100000\n8892 13341\n22267 33427\n32020 48043\n37201 55778\n99869 100000\n40992 61475\n64795 97180\n92078 100000\n4330 6518\n99092 100000\n69405 100000\n24275 36428\n36895 55322\n738 1125\n39781 59648\n58132 87190\n65753 98638\n8930 13397\n12609 18918\n80975 100000\n12739 19118\n21453 32247\n83878 100000\n21530 32360\n21180 31834\n1471 2227\n19615 29495\n42666 63986\n25140 37729\n59259 88887\n77636 100000\n41630 62440\n91150 100000\n37931 56877\n46828 70190\n20552 30879\n94593 100000\n82463 100000\n8264 12408\n74919 100000\n24730 37103\n99959 100000\n50217 75276\n61299 91955\n58093 87127\n41373 62057\n92241 100000\n82026 100000\n52207 78244\n43686 65526\n89006 100000\n31134 46723\n1913 2878\n95012 100000\n20450 30734\n19257 28947\n95601 100000\n16171 24312\n55101 82629\n86218 100000\n45443 68154\n8124 12200\n10109 15175\n91206 100000\n29232 43838\n94434 100000\n39607 59388\n93717 100000\n82304 100000\n7791 11705\n31307 46979\n24958 37450\n1238 1877\n99819 100000\n61041 91573\n3771 5684\n18227 27389\n5193 7810\n39085 58587\n55602 83391\n60468 90719\n60272 90418\n7680 11541\n19997 30067\n60082 90148\n49385 74018\n61748 92621\n19628 29512\n69025 100000\n3124 4711\n53731 80527\n19178 28834\n91434 100000\n53526 80227\n67214 100000\n93009 100000\n28490 42732\n94824 100000\n89326 100000\n38266 57386\n94602 100000\n75308 100000\n57427 86134\n2583 3896\n99264 100000\n43379 65071\n35436 53138\n12399 18608\n6802 10225\n69237 100000\n56509 84754\n89451 100000\n95833 100000\n85783 100000\n74899 100000\n370 568\n21071 31673\n68696 100000\n85436 100000\n44736 67095\n75599 100000\n23903 35869\n69785 100000\n30928 46418\n71972 100000\n4740 7135\n1224 1855\n66094 99158\n25733 38601\n75817 100000\n37505 56232\n10742 16111\n23849 35785\n22308 33490\n90392 100000\n2001 3008\n43219 64821\n3709 5586\n24313 36485\n99842 100000\n50560 75793\n5590 8405\n12071 18122\n27111 40644\n85493 100000\n9651 14477\n81249 100000\n58086 87118\n89518 100000\n24934 37413\n97013 100000\n34060 51073\n39130 58653\n55852 83760\n88521 100000\n23449 35188\n49558 74285\n80652 100000\n55303 82935\n62336 93521\n91334 100000\n63020 94540\n34115 51152\n79988 100000\n85559 100000\n95960 100000\n57116 85657\n63864 95772\n95253 100000\n58038 87042\n59587 89392\n64017 96005\n28166 42239\n67015 100000\n38090 57116\n19162 28811\n47181 70724\n52260 78319\n37684 56507\n4268 6422\n40139 60188\n32576 48864\n62808 94228\n7707 11576\n1063 1606\n83036 100000\n15452 23253\n98758 100000\n18115 27215\n54594 81841\n24136 36224\n92679 100000\n30530 45806\n46900 70297\n46449 69634\n60206 90324\n21450 32241\n86759 100000\n62108 93159\n11046 16576\n66928 100000\n69525 100000\n54852 82239\n5586 8397\n5112 7690\n32705 49060\n15158 22808\n24438 36674\n19902 29920\n22471 33731\n37498 56222\n87573 100000\n67499 100000\n12860 19300\n97591 100000\n50470 75661\n24442 36679\n15807 23773\n54608 81861\n39133 58657\n48037 71982\n37603 56384\n61074 91621\n30424 45637\n28937 43408\n33586 50364\n1039 1567\n60694 91047\n3127 4715\n85696 100000\n6659 10016\n59177 88760\n87644 100000\n40301 60430\n91998 100000\n2651 3992\n69567 100000\n81383 100000\n31242 46885\n91526 100000\n76777 100000\n34986 52475\n15738 23675\n69354 100000\n26923 40366\n78657 100000\n98919 100000\n91757 100000\n69161 100000\n49101 73595\n24565 36856\n59174 88756\n81007 100000\n64695 97034\n27388 41061\n84696 100000\n42411 63615\n91658 100000\n41202 61796\n75363 100000\n43451 65184\n18086 27172\n73837 100000\n37360 56015\n70327 100000\n8811 13221\n75904 100000\n94253 100000\n90115 100000\n71021 100000\n64933 97390\n37955 56913\n62276 93422\n45922 68859\n15522 23356\n58322 87483\n68873 100000\n90651 100000\n33477 50198\n84894 100000\n95571 100000\n60456 90701\n87572 100000\n18123 27226\n29547 44308\n5109 7685\n71392 100000\n15687 23600\n56157 84222\n6551 9854\n16918 25428\n22784 34190\n41625 62433\n42068 63099\n34264 51377\n94938 100000\n51318 76927\n6381 9616\n82501 100000\n22755 34150\n1813 2728\n85110 100000\n23934 35914\n20689 31092\n71492 100000\n80653 100000\n77162 100000\n16884 25376\n83885 100000\n87021 100000\n2929 4419\n19911 29933\n15181 22841\n77010 100000\n40016 60000\n68090 100000\n96809 100000\n42442 63660\n47721 71519\n97704 100000\n61620 92430\n9295 13944\n15736 23673\n46875 70259\n73172 100000\n96949 100000\n41226 61834\n61903 92866\n9731 14602\n99474 100000\n49525 74233\n8434 12659\n72811 100000\n25074 37633\n11606 17420\n97900 100000\n39357 59009\n67575 100000\n48679 72961\n20014 30090\n99289 100000\n11991 17997\n61890 92846\n8898 13351\n8347 12534\n91979 100000\n77954 100000\n26030 39052\n85526 100000\n17963 26986\n41871 62817\n20727 31153\n32935 49398\n54207 81244\n27303 40933\n94676 100000\n74516 100000\n13732 20643\n21506 32324\n91814 100000\n73238 100000\n27137 40682\n31223 46861\n47227 70791\n57600 86387\n54598 81846\n5674 8527\n18552 27879\n16966 25496\n36378 54548\n79485 100000\n2605 3927\n73090 100000\n73292 100000\n42003 63005\n62532 93817\n30233 45341\n79290 100000\n91418 100000\n60154 90253\n79654 100000\n1294 1960\n44559 66826\n27382 41051\n37990 56967\n91933 100000\n47798 71632\n74764 100000\n79443 100000\n8799 13202\n23091 34658\n58431 87651\n54878 82277\n34320 51460\n24230 36359\n81840 100000\n97570 100000\n51894 77773\n57213 85804\n97843 100000\n31056 46612\n71188 100000\n76827 100000\n93608 100000\n40144 60195\n57104 85639\n31323 47003\n2308 3469\n21484 32296\n96400 100000\n70428 100000\n36042 54034\n54898 82307\n12013 18031\n46736 70056\n51288 76884\n75765 100000\n28187 42268\n69266 100000\n99831 100000\n71363 100000\n58527 87791\n40769 61143\n57619 86418\n48865 73242\n73796 100000\n49167 73695\n89106 100000\n22655 34010\n88392 100000\n37562 56318\n46416 69586\n59228 88837\n64498 96730\n46711 70019\n95174 100000\n18194 27337\n16134 24254\n4809 7239\n2418 3636\n11907 17877\n28654 42977\n47545 71252\n34803 52200\n58714 88063\n60522 90792\n11772 17671\n79931 100000\n71867 100000\n79664 100000\n53719 80512\n40014 59997\n94600 100000\n10197 15307\n77715 100000\n26126 39197\n8850 13280\n26394 39596\n49546 74266\n24439 36675\n39868 59776\n68421 100000\n47680 71457\n52875 79248\n2025 3044\n85644 100000\n86756 100000\n51682 77452\n71063 100000\n42965 64437\n74878 100000\n76896 100000\n636 972\n34058 51070\n68912 100000\n4960 7462\n84543 100000\n99399 100000\n26168 39260\n1436 2175\n56541 84803\n95224 100000\n75056 100000\n60602 90910\n61197 91804\n14157 21290\n81182 100000\n56110 84148\n67938 100000\n66733 100000\n81664 100000\n90309 100000\n31654 47496\n76410 100000\n86909 100000\n89413 100000\n77217 100000\n13440 20193\n48284 72356\n79512 100000\n69270 100000\n59067 88593\n10776 16160\n75874 100000\n98141 100000\n52579 78798\n1449 2192\n65776 98673\n87336 100000\n85545 100000\n70577 100000\n93332 100000\n98648 100000\n57875 86792\n36151 54196\n89484 100000\n46549 69781\n19525 29356\n47894 71766\n95466 100000\n74820 100000\n86696 100000\n30445 45672\n18590 27938\n34237 51336\n32366 48561\n54505 81710\n34357 51522\n75292 100000\n41614 62418\n50409 75573\n80513 100000\n57369 86050\n79354 100000\n87157 100000\n62124 93182\n74945 100000\n41487 62228\n86436 100000\n72159 100000\n64440 96646\n61430 92150\n45513 68260\n28568 42843\n61138 91713\n52626 78869\n69306 100000\n82914 100000\n90895 100000\n25765 38648\n58788 88176\n35959 53912\n20890 31401\n91562 100000\n16686 25090\n99762 100000\n23762 35652\n66890 100000\n38103 57137\n88235 100000\n66403 99621\n26735 40094\n49928 74844\n24742 37122\n97340 100000\n9296 13946\n21079 31685\n32613 48917\n19782 29744\n40716 61056\n11746 17631\n88319 100000\n32885 49322\n25586 38377\n68371 100000\n52642 78895\n64828 97228\n58752 88123\n64668 96991\n92282 100000\n17319 26037\n25377 38076\n97178 100000\n55285 82906\n85294 100000\n66459 99707\n98991 100000\n24122 36204\n75745 100000\n70273 100000\n1581 2389\n41117 61664\n22714 34091\n92999 100000\n12469 18711\n91437 100000\n33011 49508\n47763 71578\n73395 100000\n61200 91808\n8727 13092\n97344 100000\n84360 100000\n98514 100000\n54330 81431\n4834 7273\n57707 86548\n80352 100000\n53819 80662\n47408 71054\n16915 25422\n30896 46368\n3088 4657\n45954 68905\n5353 8050\n4028 6048\n32355 48543\n41502 62251\n76834 100000\n7506 11280\n8637 12961\n63160 94744\n11994 18003\n28826 43239\n74633 100000\n21384 32140\n17600 26442\n50375 75521\n64221 96322\n72186 100000\n55537 83288\n64708 97053\n84935 100000\n43788 65676\n11488 17242\n3778 5695\n88640 100000\n32089 48151\n33359 50018\n56368 84541\n76183 100000\n82928 100000\n53664 80430\n15091 22710\n2791 4211\n2734 4122\n75482 100000\n576 885\n25324 37999\n61847 92781\n18445 27709\n97904 100000\n27254 40859\n52572 78786\n11780 17684\n80361 100000\n62788 94196\n55992 83970\n74907 100000\n36232 54320\n28080 42111\n26751 40118\n7996 12007\n2931 4423\n89353 100000\n11828 17754\n57131 85679\n52032 77986\n71222 100000\n24160 36255\n53175 79701\n82722 100000\n6832 10269\n86384 100000\n90335 100000\n68837 100000\n60365 90564\n80245 100000\n38656 57965\n96449 100000\n67990 100000\n21935 32949\n23659 35496\n43427 65143\n40908 61350\n613 939\n39406 59078\n77233 100000\n12336 18515\n98532 100000\n93627 100000\n66394 99608\n14206 21362\n31015 46552\n68690 100000\n44662 66978\n45294 67940\n39019 58493\n87292 100000\n59028 88535\n16042 24120\n92577 100000\n69268 100000\n9551 14330\n27846 41765\n59406 89101\n68482 100000\n67240 100000\n45208 67804\n155 236\n21423 32201\n44485 66714\n56481 84715\n21930 32942\n86037 100000\n42786 64170\n94585 100000\n15536 23377\n49070 73547\n89438 100000\n51907 77791\n55182 82753\n1652 2493\n96876 100000\n40534 60781\n79389 100000\n44565 66834\n22062 33132\n70182 100000\n91293 100000\n24001 36020\n30466 45703\n78886 100000\n11214 16828\n1390 2102\n7581 11395\n18420 27673\n19369 29122\n47085 70580\n96722 100000\n74112 100000\n25418 38137\n54925 82349\n69473 100000\n5475 8230\n37286 55908\n8911 13372\n81629 100000\n36221 54302\n87814 100000\n30844 46285\n44129 66186\n58091 87125\n35446 53154\n60644 90972\n4568 6877\n14665 22058\n5860 8813\n27241 40838\n29736 44589\n40792 61180\n21391 32149\n46551 69785\n25197 37814\n38411 57600\n48769 73095\n32887 49325\n34507 51751\n51876 77751\n71269 100000\n92969 100000\n95487 100000\n34395 51581\n97429 100000\n33388 50062\n70475 100000\n99165 100000\n84686 100000\n26644 39973\n4622 6959\n98421 100000\n18355 27575\n24732 37106\n3224 4867\n99551 100000\n99310 100000\n94868 100000\n65508 98261\n57890 86815\n34862 52293\n52159 78170\n96622 100000\n28206 42299\n21055 31650\n86800 100000\n17502 26300\n57287 85920\n99250 100000\n37389 56058\n87279 100000\n78916 100000\n105 163\n66357 99552\n65916 98886\n32504 48767\n62912 94379\n75305 100000\n8372 12570\n83785 100000\n66726 100000\n30399 45598\n56057 84069\n30242 45354\n42967 64440\n16294 24497\n21711 32613\n35414 53105\n71666 100000\n64182 96261\n19778 29738\n90660 100000\n78761 100000\n96180 100000\n44456 66670\n22951 34440\n22815 34239\n34905 52359\n8689 13038\n45653 68471\n36602 54885\n54884 82286\n82690 100000\n24631 36951\n74751 100000\n76940 100000\n54597 81845\n7214 10849\n43871 65795\n42762 64135\n15935 23959\n46796 70144\n95754 100000\n97464 100000\n97590 100000\n41178 61759\n49684 74477\n10653 15978\n32307 48468\n17305 26016\n72724 100000\n66253 99396\n99045 100000\n64094 96124\n49495 74183\n81128 100000\n46269 69371\n74626 100000\n24815 37235\n19735 29672\n61202 91811\n49019 73472\n93323 100000\n89616 100000\n8588 12885\n91407 100000\n58896 88337\n91126 100000\n17678 26560\n30807 46236\n40438 60636\n46176 69238\n74629 100000\n37573 56334\n83189 100000\n12044 18081\n56359 84528\n7679 11539\n12148 18234\n43520 65283\n17215 25872\n11501 17262\n35970 53929\n79412 100000\n15976 24017\n55201 82781\n80574 100000\n93154 100000\n4185 6302\n17067 25642\n94530 100000\n63748 95591\n91742 100000\n53088 79568\n40189 60264\n26921 40364\n87261 100000\n81853 100000\n34994 52485\n70580 100000\n6481 9752\n48782 73116\n82803 100000\n4340 6534\n70884 100000\n59318 88972\n47124 70635\n22153 33268\n7319 11003\n17263 25946\n66155 99254\n53833 80684\n62960 94448\n98769 100000\n13308 19983\n32713 49074\n90470 100000\n41596 62389\n70157 100000\n70239 100000\n4953 7454\n8733 13103\n52066 78040\n55426 83112\n25445 38178\n63580 95347\n75406 100000\n4842 7283\n22752 34145\n32466 48706\n49671 74459\n76978 100000\n11791 17700\n46898 70295\n97526 100000\n40523 60765\n46091 69115\n70106 100000\n64235 96343\n45867 68780\n96640 100000\n37319 55957\n61923 92895\n23209 34833\n91975 100000\n18978 28538\n53839 80693\n98721 100000\n37060 55567\n54619 81877\n43326 64992\n9558 14340\n88866 100000\n93403 100000\n11909 17880\n48051 72003\n87944 100000\n72657 100000\n57356 86029\n94671 100000\n93856 100000\n48292 72366\n11351 17037\n89964 100000\n81837 100000\n62872 94323\n22589 33908\n42252 63379\n34206 51289\n22880 34336\n45233 67843\n73171 100000\n89171 100000\n96157 100000\n16669 25066\n23249 34889\n23815 35730\n16515 24835\n79714 100000\n23429 35158\n63163 94748\n95763 100000\n24036 36070\n25102 37675\n47337 70956\n15416 23196\n77921 100000\n79692 100000\n60408 90629\n41570 62351\n42835 64244\n85606 100000\n14770 22222\n63861 95766\n5347 8041\n84483 100000\n50764 76105\n18458 27729\n38953 58395\n46532 69757\n72315 100000\n73455 100000\n21957 32981\n16771 25210\n87917 100000\n13684 20567\n23219 34848\n63863 95770\n25120 37702\n3302 4983\n667 1018\n45134 67692\n8524 12787\n77950 100000\n18298 27492\n96814 100000\n74067 100000\n28942 43415\n15754 23696\n23918 35888\n84873 100000\n56973 85446\n17249 25928\n86405 100000\n72002 100000\n22462 33718\n45095 67634\n15065 22670\n48568 72791\n9867 14810\n58089 87123\n83544 100000\n19883 29892\n46289 69399\n22862 34308\n84509 100000\n81469 100000\n11960 17951\n66531 99813\n97209 100000\n51856 77715\n84586 100000\n29070 43597\n39304 58927\n26195 39297\n78692 100000\n34330 51477\n5503 8269\n94705 100000\n99915 100000\n69019 100000\n8489 12737\n60733 91104\n4941 7436\n19524 29355\n26216 39333\n90794 100000\n43226 64832\n98354 100000\n56930 85380\n35825 53711\n43597 65396\n69052 100000\n18573 27912\n40730 61080\n40549 60806\n76000 100000\n71680 100000\n35072 52602\n12817 19230\n25165 37768\n33316 49957\n45086 67624\n8324 12496\n69085 100000\n8855 13288\n95676 100000\n15635 23525\n81918 100000\n81109 100000\n51106 76617\n81237 100000\n68662 100000\n88554 100000\n74874 100000\n77023 100000\n54564 81794\n53925 80826\n31202 46834\n83517 100000\n31983 47988\n35036 52549\n76241 100000\n9722 14588\n64402 96591\n51822 77669\n98989 100000\n89766 100000\n96128 100000\n50026 74987\n36752 55118\n21481 32292\n18512 27815\n81795 100000\n48136 72131\n77472 100000\n30547 45833\n40250 60354\n79106 100000\n52442 78596\n16774 25215\n22763 34162\n26989 40458\n43975 65956\n92055 100000\n5671 8523\n50616 75878\n9102 13643\n3572 5381\n52792 79120\n57970 86936\n68827 100000\n69089 100000\n17010 25557\n69866 100000\n88558 100000\n92148 100000\n98630 100000\n68636 100000\n46137 69184\n69060 100000\n72807 100000\n17628 26484\n25836 38764\n9610 14420\n22113 33210\n13577 20399\n26448 39679\n81904 100000\n43150 64720\n84382 100000\n14093 21194\n64065 96082\n41282 61924\n30104 45142\n96470 100000\n40617 60908\n34449 51664\n6064 9124\n83358 100000\n55496 83226\n31077 46643\n3643 5486\n47624 71372\n49203 73747\n70107 100000\n78729 100000\n86821 100000\n74867 100000\n17438 26209\n3364 5079\n80775 100000\n73277 100000\n43435 65156\n86397 100000\n72109 100000\n21480 32291\n90005 100000\n55294 82921\n11933 17911\n61941 92922\n83795 100000\n64607 96898\n15691 23606\n63930 95872\n8920 13384\n7172 10784\n58959 88435\n87413 100000\n37877 56795\n87819 100000\n92708 100000\n21240 31925\n33158 49724\n9720 14585\n74348 100000\n54935 82363\n80260 100000\n82222 100000\n6884 10347\n97329 100000\n83051 100000\n26799 40192\n65824 98746\n86346 100000\n36446 54647\n74448 100000\n78624 100000\n91496 100000\n77616 100000\n37472 56186\n81759 100000\n85290 100000\n69474 100000\n41864 62807\n33994 50973\n38935 58370\n58980 88464\n74193 100000\n8863 13300\n47888 71759\n94388 100000\n67686 100000\n19253 28942\n8462 12699\n51340 76959\n68753 100000\n79706 100000\n14443 21713\n42702 64039\n91916 100000\n71622 100000\n65738 98614\n51719 77507\n61867 92813\n20068 30167\n46547 69777\n3672 5531\n28287 42422\n72542 100000\n25486 38235\n76812 100000\n71554 100000\n65386 98083\n94092 100000\n36105 54128\n67111 100000\n24188 36298\n87149 100000\n21684 32572\n63893 95817\n20430 30705\n23204 34824\n18541 27864\n35264 52880\n20706 31121\n54912 82329\n67342 100000\n65315 97969\n51280 76874\n23306 34976\n29710 44552\n74432 100000\n89403 100000\n15772 23719\n82680 100000\n48074 72039\n15417 23198\n1250 1893\n17446 26219\n17139 25754\n89639 100000\n43549 65328\n75029 100000\n79229 100000\n92395 100000\n85152 100000\n81112 100000\n64214 96310\n93787 100000\n68993 100000\n51246 76824\n76901 100000\n59682 89542\n34026 51021\n19587 29450\n3261 4919\n17158 25786\n11474 17224\n17621 26474\n56316 84466\n91240 100000\n68278 100000\n46040 69041\n40235 60334\n8591 12890\n32156 48245\n74666 100000\n64841 97248\n21648 32522\n37130 55670\n83098 100000\n93745 100000\n65360 98044\n65453 98178\n583 895\n53036 79489\n31104 46681\n57399 86095\n66566 99859\n85126 100000\n81292 100000\n81787 100000\n52780 79101\n37193 55765\n6040 9084\n9436 14152\n41571 62353\n25605 38404\n37016 55503\n70662 100000\n7492 11257\n96334 100000\n37945 56901\n64996 97486\n49584 74322\n13973 21007\n71745 100000\n93056 100000\n9413 14119\n33504 50239\n44637 66945\n14449 21724\n76122 100000\n88255 100000\n66877 100000\n22068 33140\n40251 60356\n95796 100000\n10652 15976\n70782 100000\n95775 100000\n43762 65641\n99213 100000\n55388 83060\n32045 48079\n26910 40347\n28723 43080\n20417 30687\n4252 6399\n47425 71077\n70210 100000\n93708 100000\n42550 63819\n65887 98846\n26336 39515\n42928 64385\n67661 100000\n85074 100000\n41090 61626\n11668 17514\n33545 50300\n71603 100000\n47842 71691\n45332 67994\n88590 100000\n35388 53065\n97078 100000\n38784 58158\n78440 100000\n71461 100000\n28494 42739\n81812 100000\n56809 85198\n50103 75098\n79324 100000\n3277 4945\n31300 46967\n26182 39280\n63874 95788\n8374 12574\n47523 71217\n33544 50298\n11441 17174\n25132 37718\n99956 100000\n63017 94536\n16196 24352\n45323 67981\n68326 100000\n440 671\n67523 100000\n65853 98788\n37460 56167\n51419 77074\n93284 100000\n63532 95277\n44303 66445\n77419 100000\n38390 57568\n89599 100000\n53371 80001\n44397 66588\n10225 15349\n26594 39896\n98817 100000\n51074 76568\n28938 43409\n80325 100000\n65590 98388\n29017 43524\n19322 29046\n65796 98704\n88480 100000\n38115 57153\n34190 51268\n45272 67903\n51953 77864\n75413 100000\n11178 16773\n66362 99561\n95136 100000\n9435 14150\n47533 71232\n94872 100000\n79906 100000\n10697 16039\n4049 6085\n37803 56687\n98435 100000\n84749 100000\n56358 84526\n86179 100000\n36141 54180\n14269 21452\n12805 19215\n86103 100000\n98527 100000\n86021 100000\n28830 43243\n94112 100000\n64703 97046\n34461 51683\n31765 47663\n10248 15385\n63604 95386\n3753 5656\n62193 93295\n96957 100000\n99942 100000\n43926 65883\n2160 3244\n44902 67343\n42079 63114\n12523 18787\n91217 100000\n27611 41403\n95835 100000\n50456 75642\n15538 23380\n31878 47829\n66030 99061\n4903 7373\n5832 8767\n52413 78553\n51060 76547\n74229 100000\n78685 100000\n19552 29398\n51991 77924\n63696 95519\n72975 100000\n46555 69791\n56284 84414\n3518 5299\n18881 28396\n87886 100000\n95957 100000\n1490 2256\n49308 73903\n93818 100000\n76484 100000\n3845 5788\n4625 6964\n10308 15473\n69210 100000\n91860 100000\n89342 100000\n42607 63907\n15480 23295\n28597 42886\n34328 51474\n95384 100000\n55835 83736\n82926 100000\n11865 17808\n68357 100000\n30620 45946\n92184 100000\n68351 100000\n26624 39943\n95335 100000\n70293 100000\n86533 100000\n37496 56219\n30603 45916\n74162 100000\n41349 62021\n77839 100000\n7321 11006\n70768 100000\n2696 4059\n42359 63536\n81037 100000\n52067 78042\n10408 15618\n16656 25046\n57052 85562\n5010 7533\n11231 16852\n20737 31166\n28706 43053\n37203 55780\n32378 48576\n95059 100000\n92146 100000\n58151 87217\n62148 93219\n9479 14216\n99499 100000\n68095 100000\n45598 68392\n26937 40386\n85878 100000\n95171 100000\n65680 98525\n84731 100000\n13298 19967\n78015 100000\n60575 90869\n41963 62951\n33627 50424\n59539 89318\n73711 100000\n10859 16291\n30701 46069\n67012 100000\n40751 61112\n514 789\n94252 100000\n72926 100000\n37087 55608\n77726 100000\n60159 90259\n43745 65616\n42772 64150\n99675 100000\n38306 57445\n16861 25346\n80663 100000\n48339 72438\n53774 80590\n44756 67124\n8547 12819\n58629 87936\n48996 73437\n63993 95963\n80007 100000\n79122 100000\n91667 100000\n25762 38643\n84510 100000\n41133 61690\n98897 100000\n84410 100000\n40832 61240\n4803 7231\n81999 100000\n56248 84362\n68402 100000\n3199 4825\n5960 8960\n20202 30373\n66714 100000\n11445 17180\n4868 7321\n49604 74353\n73970 100000\n28886 43329\n37689 56515\n11981 17982\n1397 2113\n58115 87163\n93743 100000\n74584 100000\n66228 99361\n66350 99541\n88974 100000\n93922 100000\n56970 85441\n2431 3657\n3188 4811\n14728 22159\n55193 82767\n72073 100000\n52531 78726\n78541 100000\n7746 11638\n82042 100000\n72379 100000\n97503 100000\n46249 69343\n74854 100000\n7863 11812\n6491 9768\n37584 56353\n48902 73301\n36596 54875\n96305 100000\n86451 100000\n12777 19172\n33202 49792\n24906 37366\n62106 93156\n89136 100000\n34132 51179\n57454 86176\n46937 70355\n72774 100000\n43249 64869\n58784 88169\n22159 33278\n99841 100000\n97875 100000\n60076 90138\n9047 13564\n89598 100000\n34326 51471\n31742 47632\n18841 28331\n44649 66962\n91070 100000\n76354 100000\n60995 91506\n34299 51429\n3301 4982\n71800 100000\n84112 100000\n8626 12943\n44060 66081\n99576 100000\n93010 100000\n26163 39252\n53923 80822\n10392 15595\n94567 100000\n78708 100000\n25328 38005\n61873 92823\n217 334\n90932 100000\n73612 100000\n37903 56832\n56401 84596\n18563 27898\n47809 71648\n57702 86542\n13840 20803\n22478 33742\n79777 100000\n82508 100000\n38268 57389\n62828 94259\n66543 99831\n50471 75663\n27316 40950\n95684 100000\n5824 8756\n67908 100000\n19861 29862\n71016 100000\n46240 69328\n88634 100000\n29579 44352\n13719 20624\n88766 100000\n65194 97779\n17171 25807\n69496 100000\n78670 100000\n35569 53331\n47746 71555\n90726 100000\n25033 37563\n64538 96792\n58720 88073\n37096 55622\n61851 92787\n68802 100000\n11976 17975\n55405 83083\n43457 65194\n44131 66190\n33746 50603\n92968 100000\n65268 97892\n8446 12676\n2159 3243\n22405 33629\n94811 100000\n53280 79864\n86363 100000\n28722 43078\n71533 100000\n63177 94767\n37073 55589\n94666 100000\n90564 100000\n13593 20428\n23019 34538\n37828 56721\n81801 100000\n23342 35031\n20736 31165\n32458 48694\n15951 23984\n13412 20146\n11253 16886\n10329 15504\n23370 35072\n22140 33251\n94962 100000\n2990 4515\n59363 89040\n92607 100000\n42537 63800\n53676 80445\n98540 100000\n8021 12041\n55912 83849\n28649 42969\n86733 100000\n38924 58357\n31299 46965\n80432 100000\n52162 78175\n30804 46232\n13259 19912\n96398 100000\n63869 95779\n89252 100000\n74648 100000\n95096 100000\n82345 100000\n10960 16439\n86730 100000\n51959 77873\n58097 87134\n68765 100000\n13040 19579\n31848 47785\n22321 33508\n46896 70292\n76417 100000\n13998 21045\n23877 35825\n10626 15936\n96591 100000\n46881 70268\n52469 78635\n62170 93257\n13944 20965\n39306 58931\n50430 75601\n88331 100000\n97878 100000\n4487 6750\n60137 90231\n98896 100000\n65242 97856\n62009 93025\n66226 99359\n27793 41681\n31427 47154\n78404 100000\n1961 2951\n94074 100000\n76853 100000\n26008 39019\n20753 31191\n64018 96007\n74123 100000\n58563 87836\n82577 100000\n95944 100000\n77708 100000\n70871 100000\n8565 12852\n26625 39945\n58049 87060\n39751 59603\n16326 24547\n89709 100000\n7158 10765\n93463 100000\n37205 55783\n49055 73529\n67571 100000\n49675 74464\n43315 64972\n50492 75698\n41052 61571\n7533 11322\n80188 100000\n52678 78951\n89543 100000\n43127 64683\n26976 40440\n99993 100000\n60921 91396\n80198 100000\n59529 89302\n16733 25160\n73982 100000\n31080 46647\n26158 39245\n5264 7913\n26201 39308\n15735 23672\n28162 42231\n46556 69793\n58873 88299\n71017 100000\n16039 24116\n35065 52591\n88966 100000\n84083 100000\n97179 100000\n34858 52288\n8123 12198\n85854 100000\n47896 71768\n12461 18699\n9063 13587\n94232 100000\n84994 100000\n90808 100000\n7699 11568\n41677 62511\n39069 58566\n7926 11910\n83468 100000\n59962 89969\n10816 16223\n29996 44980\n21024 31607\n32816 49222\n56824 85222\n114 177\n92946 100000\n15683 23594\n99932 100000\n68137 100000\n19429 29213\n43888 65820\n59240 88855\n14738 22175\n80496 100000\n83871 100000\n71627 100000\n89659 100000\n80410 100000\n63567 95326\n77350 100000\n84403 100000\n39436 59127\n53401 80045\n13444 20198\n27933 41895\n51341 76960\n52168 78185\n5985 8994\n71162 100000\n43157 64730\n51937 77839\n13467 20233\n48758 73082\n40228 60322\n61056 91593\n80223 100000\n11045 16575\n9641 14464\n3201 4829\n2715 4091\n36933 55378\n9459 14184\n44921 67370\n74748 100000\n3911 5890\n2535 3821\n76064 100000\n82090 100000\n33163 49732\n29621 44413\n95496 100000\n38974 58426\n12318 18483\n55434 83126\n28066 42090\n45500 68243\n17474 26261\n67354 100000\n24243 36377\n84658 100000\n62488 93748\n4310 6488\n60354 90546\n32101 48167\n34047 51051\n31243 46887\n58445 87674\n3038 4583\n83966 100000\n36542 54787\n38114 57151\n41033 61539\n294 452\n14508 21809\n60954 91445\n79833 100000\n71035 100000\n76319 100000\n64533 96785\n2755 4154\n74284 100000\n48608 72854\n62047 93078\n5224 7856\n62481 93736\n32797 49195\n15439 23235\n71828 100000\n44672 66992\n8715 13076\n89297 100000\n86714 100000\n91554 100000\n20916 31445\n96539 100000\n49323 73923\n59643 89480\n52903 79287\n81398 100000\n62528 93811\n91746 100000\n31809 47728\n65244 97859\n51680 77450\n95750 100000\n87429 100000\n21996 33037\n47505 71190\n54805 82167\n42986 64469\n79315 100000\n52518 78708\n37132 55673\n89606 100000\n6144 9245\n40097 60122\n83880 100000\n45584 68372\n64305 96447\n34031 51028\n2029 3049\n54035 80988\n9410 14116\n42444 63663\n1922 2890\n85692 100000\n58909 88355\n57301 85943\n32518 48785\n98883 100000\n90807 100000\n70888 100000\n52709 78995\n53225 79779\n15036 22619\n85867 100000\n71531 100000\n48072 72036\n16936 25454\n69366 100000\n25607 38407\n58232 87338\n91541 100000\n32230 48355\n17032 25587\n32643 48961\n1998 3004\n31956 47945\n84315 100000\n22416 33646\n86281 100000\n51385 77026\n38728 58073\n46738 70059\n43334 65005\n57759 86626\n85851 100000\n16732 25158\n12710 19072\n58792 88183\n36190 54254\n11357 17045\n21131 31760\n88548 100000\n88044 100000\n2108 3163\n55832 83732\n84153 100000\n69187 100000\n41678 62512\n82862 100000\n1326 2011\n69839 100000\n54562 81792\n39730 59573\n45674 68502\n93436 100000\n41671 62503\n73104 100000\n38857 58262\n91739 100000\n36681 55000\n2725 4108\n75099 100000\n14196 21345\n34205 51288\n45205 67800\n83346 100000\n99088 100000\n97505 100000\n88186 100000\n72684 100000\n11680 17533\n8691 13040\n14954 22494\n16096 24201\n45430 68136\n14446 21718\n58489 87734\n61883 92836\n1263 1914\n1371 2076\n76921 100000\n24156 36249\n96774 100000\n65662 98498\n29662 44476\n11109 16676\n99401 100000\n72900 100000\n75966 100000\n67471 100000\n95734 100000\n42817 64218\n81296 100000\n14585 21927\n11196 16799\n70533 100000\n87568 100000\n18412 27662\n255 393\n83660 100000\n42570 63850\n4586 6905\n39769 59630\n96713 100000\n83498 100000\n84861 100000\n87094 100000\n79843 100000\n99100 100000\n25360 38049\n223 341\n90710 100000\n25199 37818\n26718 40070\n49569 74300\n64771 97143\n39391 59058\n22098 33186\n28096 42135\n61852 92788\n8305 12466\n18950 28498\n65304 97952\n13320 20002\n49064 73540\n80699 100000\n97619 100000\n29400 44100\n47045 70517\n96654 100000\n2560 3859\n61530 92294\n25014 37534\n81814 100000\n67254 100000\n8710 13069\n64962 97436\n44341 66502\n646 987\n70020 100000\n62030 93054\n68644 100000\n40035 60028\n59334 88996\n35014 52519\n7093 10666\n43223 64828\n29051 43574\n15028 22609\n53119 79609\n88639 100000\n56120 84165\n12026 18052\n95609 100000\n51660 77418\n64845 97252\n21018 31599\n25493 38247\n89944 100000\n68521 100000\n32563 48848\n9274 13911\n9734 14606\n94865 100000\n94174 100000\n89336 100000\n62586 93891\n81325 100000\n48396 72521\n63606 95390\n49533 74245\n71488 100000\n33426 50125\n46396 69556\n32598 48894\n728 1110\n91697 100000\n23198 34814\n50131 75143\n43236 64848\n49987 74932\n46983 70421\n54355 81472\n57819 86716\n33332 49982\n51845 77700\n67681 100000\n71569 100000\n68815 100000\n43708 65563\n76103 100000\n62802 94218\n38414 57605\n4540 6833\n66978 100000\n41615 62420\n37200 55777\n75803 100000\n71700 100000\n69248 100000\n94256 100000\n61081 91631\n50926 76347\n52006 77945\n54044 81000\n99544 100000\n95878 100000\n94540 100000\n18947 28494\n55003 82473\n8888 13335\n88047 100000\n56620 84918\n39122 58640\n4016 6032\n19319 29042\n82543 100000\n39369 59027\n16325 24546\n87721 100000\n84482 100000\n33131 49682\n35333 52982\n8091 12147\n52685 78961\n2126 3188\n69687 100000\n73177 100000\n44750 67115\n86204 100000\n74551 100000\n59999 90023\n49291 73877\n65713 98574\n7727 11608\n87460 100000\n39944 59891\n97267 100000\n41472 62205\n30443 45670\n83572 100000\n85547 100000\n40857 61276\n9955 14946\n18437 27697\n13134 19720\n56047 84056\n40671 60987\n87085 100000\n99073 100000\n9029 13539\n56766 85131\n5089 7657\n12784 19183\n77572 100000\n74970 100000\n51032 76504\n23203 34822\n9182 13767\n39342 58988\n64471 96692\n24444 36683\n46987 70427\n49769 74611\n66353 99546\n4787 7208\n28117 42164\n42476 63711\n52922 79317\n31364 47059\n91190 100000\n509 780\n41129 61683\n77057 100000\n57530 86286\n87080 100000\n86899 100000\n6251 9413\n75270 100000\n74230 100000\n91327 100000\n32301 48457\n54527 81742\n66433 99665\n97893 100000\n55771 83648\n16428 24702\n38475 57696\n51970 77890\n5223 7854\n32996 49488\n78678 100000\n58023 87019\n28991 43487\n76109 100000\n33774 50646\n37177 55742\n88314 100000\n99490 100000\n38490 57722\n16747 25178\n90852 100000\n97627 100000\n22705 34078\n14979 22534\n90354 100000\n76334 100000\n67714 100000\n47975 71896\n64989 97478\n85429 100000\n16089 24189\n26136 39211\n24834 37265\n37156 55711\n82100 100000\n32928 49389\n59179 88763\n81574 100000\n26813 40210\n5167 7769\n43437 65160\n87689 100000\n33242 49850\n88359 100000\n51327 76939\n67140 100000\n84307 100000\n8304 12464\n56403 84598\n38228 57327\n44043 66058\n28399 42590\n39762 59619\n91229 100000\n68781 100000\n72866 100000\n21669 32552\n75666 100000\n24538 36817\n33870 50795\n97275 100000\n84828 100000\n8388 12592\n32051 48090\n39772 59635\n4871 7325\n6766 10175\n90928 100000\n36498 54723\n72820 100000\n74077 100000\n19140 28781\n89383 100000\n67267 100000\n18790 28255\n65000 97491\n84816 100000\n43388 65086\n87790 100000\n17096 25685\n97049 100000\n36811 55208\n20642 31022\n74755 100000\n17101 25692\n72771 100000\n7814 11738\n97296 100000\n87380 100000\n76822 100000\n18172 27303\n72908 100000\n11957 17946\n92762 100000\n8467 12706\n62220 93339\n87426 100000\n52908 79295\n54713 82023\n26206 39316\n25444 38176\n62045 93075\n15745 23683\n70539 100000\n38582 57856\n27863 41790\n19209 28878\n81929 100000\n37680 56501\n15487 23306\n32467 48708\n57699 86538\n51388 77031\n33303 49937\n82724 100000\n6618 9955\n58511 87764\n867 1317\n34972 52453\n49966 74898\n79455 100000\n14827 22306\n96555 100000\n11171 16763\n53289 79879\n2822 4259\n7435 11170\n9364 14049\n86327 100000\n96392 100000\n27000 40474\n16873 25362\n24859 37299\n9153 13721\n90925 100000\n20078 30182\n42544 63810\n9319 13984\n85092 100000\n88210 100000\n36317 54455\n92548 100000\n7515 11295\n13981 21019\n90727 100000\n82410 100000\n35859 53763\n14392 21638\n89447 100000\n84756 100000\n80147 100000\n94886 100000\n33655 50468\n7 13\n70387 100000\n4162 6265\n14519 21827\n7056 10609\n52516 78705\n81505 100000\n46403 69567\n70995 100000\n50787 76139\n37392 56063\n76825 100000\n20946 31488\n44554 66817\n76872 100000\n92709 100000\n99825 100000\n72711 100000\n40874 61300\n5448 8190\n78597 100000\n59660 89509\n1585 2394\n52691 78967\n91918 100000\n32547 48825\n86945 100000\n68871 100000\n92586 100000\n62073 93114\n71079 100000\n59827 89766\n87943 100000\n8027 12050\n89987 100000\n11213 16827\n39992 59960\n23033 34561\n97229 100000\n58638 87951\n7901 11871\n18503 27800\n88423 100000\n91182 100000\n5101 7675\n18892 28411\n34556 51823\n21265 31964\n55207 82790\n37588 56360\n75064 100000\n61902 92864\n4827 7262\n96061 100000\n76275 100000\n85351 100000\n23108 34681\n54077 81050\n54650 81925\n36169 54221\n49713 74521\n72599 100000\n62311 93479\n43532 65303\n5867 8823\n25297 37957\n24942 37425\n49305 73898\n76508 100000\n39699 59532\n60553 90838\n63119 94689\n40559 60821\n6302 9491\n12690 19047\n58795 88187\n8739 13112\n10515 15774\n13205 19838\n49767 74609\n18489 27781\n8508 12763\n82228 100000\n59241 88857\n40212 60301\n35909 53840\n6967 10473\n48937 73352\n32623 48932\n33972 50942\n94193 100000\n86524 100000\n52205 78240\n39588 59362\n91782 100000\n13304 19977\n35104 52646\n7782 11692\n43208 64803\n61385 92088\n87777 100000\n32063 48111\n79895 100000\n57598 86385\n52912 79300\n86990 100000\n16614 24982\n38947 58387\n50343 75468\n6703 10085\n59758 89664\n60721 91085\n27482 41213\n55362 83021\n64919 97367\n94999 100000\n60089 90159\n28265 42386\n22429 33666\n17964 26988\n85149 100000\n51815 77656\n85805 100000\n30214 45313\n52641 78893\n67325 100000\n6421 9676\n10952 16427\n55437 83131\n76959 100000\n89323 100000\n51602 77334\n64111 96151\n16338 24563\n5408 8125\n69049 100000\n85340 100000\n1918 2884\n54595 81843\n79047 100000\n40398 60577\n37042 55542\n97856 100000\n4090 6153\n96147 100000\n99775 100000\n67616 100000\n59442 89164\n66525 99803\n23223 34853\n22659 34016\n6921 10399\n68633 100000\n32121 48197\n73962 100000\n73083 100000\n93657 100000\n10481 15727\n73831 100000\n49317 73916\n92025 100000\n57491 86231\n1376 2083\n822 1249\n18626 27991\n76046 100000\n87073 100000\n38598 57878\n33518 50258\n3041 4587\n78177 100000\n80137 100000\n48367 72480\n55076 82587\n85066 100000\n12212 18338\n2198 3303\n4729 7119\n47496 71178\n85154 100000\n78390 100000\n90934 100000\n20488 30792\n55103 82632\n3737 5630\n95891 100000\n45576 68357\n45733 68588\n55293 82919\n36860 55274\n51298 76897\n67211 100000\n30009 44998\n93379 100000\n13244 19891\n88360 100000\n48460 72622\n74701 100000\n31494 47251\n95555 100000\n39667 59480\n37108 55639\n23241 34877\n87606 100000\n77092 100000\n31349 47041\n41499 62247\n97173 100000\n63568 95328\n98846 100000\n22205 33346\n33956 50921\n59315 88968\n31484 47238\n34904 52357\n57404 86101\n64 98\n55549 83311\n66981 100000\n4020 6038\n52932 79332\n60241 90371\n87544 100000\n75556 100000\n28476 42710\n54592 81837\n59033 88542\n99085 100000\n78598 100000\n59446 89170\n45892 68817\n31821 47746\n94105 100000\n67109 100000\n54741 82070\n74709 100000\n90199 100000\n88 137\n72121 100000\n31635 47465\n15867 23857\n17602 26444\n1508 2283\n31133 46722\n11246 16875\n83859 100000\n50038 75005\n55105 82635\n29999 44984\n78653 100000\n98271 100000\n52031 77985\n39822 59709\n21483 32294\n27484 41217\n37298 55927\n84432 100000\n39327 58966\n2841 4288\n67958 100000\n58591 87878\n25304 37968\n35119 52670\n65727 98596\n20043 30134\n11611 17426\n62016 93033\n41212 61812\n4391 6611\n53725 80520\n39422 59105\n93574 100000\n39398 59067\n70305 100000\n34710 52058\n47720 71517\n53809 80644\n51779 77598\n62552 93845\n62375 93579\n70576 100000\n56079 84102\n23442 35178\n84274 100000\n55756 83625\n58499 87748\n86135 100000\n40386 60560\n85826 100000\n21153 31793\n94349 100000\n19058 28653\n46849 70220\n62378 93585\n7541 11334\n86315 100000\n64759 97124\n62226 93348\n60661 90996\n28397 42587\n75444 100000\n39884 59799\n62350 93542\n43443 65171\n68501 100000\n12956 19447\n17902 26897\n54949 82385\n66265 99415\n62501 93768\n51136 76662\n85582 100000\n2265 3404\n17929 26938\n47180 70722\n45691 68527\n60955 91446\n75646 100000\n42509 63759\n46067 69082\n58547 87817\n64710 97056\n79639 100000\n73265 100000\n22685 34052\n43139 64706\n75476 100000\n20084 30191\n15471 23282\n61834 92758\n49858 74746\n21903 32902\n70055 100000\n60570 90861\n28253 42367\n78469 100000\n5068 7621\n58130 87187\n82920 100000\n47502 71186\n85952 100000\n81520 100000\n62806 94225\n24401 36622\n16075 24168\n94210 100000\n31165 46772\n19232 28911\n10374 15565\n12028 18055\n73613 100000\n51382 77021\n86205 100000\n74591 100000\n89092 100000\n85072 100000\n49381 74012\n30342 45502\n627 961\n26579 39873\n8411 12626\n7022 10558\n88868 100000\n84624 100000\n43778 65663\n56327 84480\n58342 87515\n48710 73010\n45625 68429\n4894 7360\n2984 4505\n87786 100000\n31473 47221\n1905 2867\n38630 57924\n6588 9909\n25886 38838\n62765 94163\n92639 100000\n32654 48979\n86826 100000\n67139 100000\n79829 100000\n9138 13697\n85764 100000\n79544 100000\n36652 54960\n38471 57690\n19338 29073\n25469 38213\n27094 40619\n13610 20452\n5214 7840\n58220 87320\n97324 100000\n56095 84130\n74435 100000\n94591 100000\n20626 30995\n14108 21217\n8379 12581\n95385 100000\n58967 88446\n39140 58665\n35328 52974\n5345 8039\n71224 100000\n460 705\n73961 100000\n8203 12317\n30054 45064\n69934 100000\n55734 83587\n36293 54417\n29133 43690\n15541 23385\n74893 100000\n57028 85530\n9163 13737\n62022 93040\n25092 37661\n87590 100000\n33568 50337\n20002 30075\n95348 100000\n80021 100000\n44045 66061\n12716 19081\n54698 82001\n56958 85422\n48427 72573\n80747 100000\n31309 46983\n93481 100000\n3252 4905\n72856 100000\n94692 100000\n96835 100000\n63675 95489\n72868 100000\n41706 62559\n56326 84479\n71657 100000\n80229 100000\n51799 77631\n19781 29742\n34381 51560\n86275 100000\n15876 23872\n81941 100000\n53397 80039\n96593 100000\n60424 90651\n2261 3398\n39355 59006\n4641 6987\n39566 59328\n23558 35348\n57479 86211\n59072 88601\n94508 100000\n86042 100000\n30328 45480\n82437 100000\n98152 100000\n59349 89021\n42650 63967\n74686 100000\n25858 38795\n24104 36177\n69586 100000\n37316 55953\n62498 93765\n755 1152\n70335 100000\n569 872\n71174 100000\n5549 8339\n65946 98933\n14406 21658\n87355 100000\n52741 79044\n99739 100000\n30338 45494\n17358 26093\n85400 100000\n47437 71096\n40361 60520\n89564 100000\n21549 32387\n11306 16971\n1053 1590\n42749 64117\n34722 52075\n36688 55011\n81472 100000\n67684 100000\n14469 21757\n82619 100000\n66705 100000\n17544 26363\n44323 66475\n88285 100000\n93965 100000\n39192 58746\n79186 100000\n19285 28987\n9322 13989\n78433 100000\n39555 59311\n51565 77278\n38755 58117\n4265 6418\n79708 100000\n90210 100000\n52985 79407\n92935 100000\n27073 40587\n81657 100000\n17506 26305\n19233 28913\n89995 100000\n65821 98741\n13269 19924\n87433 100000\n69386 100000\n63290 94927\n75321 100000\n17850 26822\n12648 18982\n13164 19772\n16626 25001\n62118 93173\n67740 100000\n19159 28807\n26045 39075\n66171 99274\n5198 7819\n6384 9622\n39315 58946\n38006 56989\n3381 5104\n78940 100000\n78090 100000\n84925 100000\n37110 55643\n10585 15876\n9521 14282\n78175 100000\n34979 52463\n15646 23542\n56873 85290\n26285 39437\n99650 100000\n82177 100000\n90870 100000\n80027 100000\n97314 100000\n73628 100000\n70318 100000\n4678 7043\n30987 46513\n1730 2605\n1629 2456\n60211 90331\n51605 77338\n10745 16116\n59673 89528\n72719 100000\n10047 15078\n81087 100000\n97283 100000\n71970 100000\n51751 77556\n77987 100000\n22482 33747\n68649 100000\n60667 91007\n81328 100000\n64250 96365\n27668 41486\n26740 40100\n24068 36116\n1569 2375\n89932 100000\n80431 100000\n34408 51599\n6158 9268\n63844 95740\n76487 100000\n84500 100000\n94823 100000\n75797 100000\n79101 100000\n73093 100000\n86438 100000\n8981 13471\n37963 56924\n51803 77636\n35626 53413\n76031 100000\n64559 96825\n31886 47842\n93504 100000\n71962 100000\n79002 100000\n29107 43648\n76084 100000\n61476 92221\n86793 100000\n60823 91243\n40865 61287\n38002 56983\n26310 39474\n34282 51403\n52534 78730\n70446 100000\n89071 100000\n62853 94294\n39763 59621\n59463 89197\n74266 100000\n32225 48345\n37250 55854\n47656 71422\n86956 100000\n42026 63039\n3442 5194\n6259 9425\n12294 18450\n12979 19482\n23394 35106\n18386 27622\n92150 100000\n28091 42128\n47544 71250\n68460 100000\n3991 5998\n80056 100000\n13469 20237\n5294 7960\n39345 58992\n2443 3676\n13479 20250\n15367 23124\n44500 66742\n60502 90762\n2890 4361\n52121 78117\n59581 89382\n9103 13645\n52753 79061\n44509 66754\n79581 100000\n98963 100000\n40876 61304\n2267 3406\n80165 100000\n52394 78522\n54558 81787\n94700 100000\n73203 100000\n92469 100000\n98267 100000\n69557 100000\n89826 100000\n16151 24282\n50711 76024\n10010 15025\n77465 100000\n82975 100000\n38844 58241\n23656 35492\n44082 66113\n2513 3785\n50880 76278\n99010 100000\n85322 100000\n19082 28693\n85762 100000\n35947 53893\n34534 51792\n22612 33941\n33765 50632\n93141 100000\n5159 7759\n53184 79716\n18001 27044\n88440 100000\n92959 100000\n27355 41009\n23172 34778\n5815 8741\n48826 73183\n43112 64662\n18484 27773\n40267 60381\n22421 33655\n59011 88508\n84255 100000\n93518 100000\n61552 92329\n7617 11445\n8020 12040\n33688 50514\n94032 100000\n10406 15614\n37489 56210\n73064 100000\n98551 100000\n81141 100000\n37068 55580\n14491 21785\n56574 84854\n24267 36416\n27627 41424\n31118 46700\n40185 60259\n93482 100000\n62247 93378\n51840 77694\n71844 100000\n10268 15415\n53704 80488\n17951 26969\n80811 100000\n58157 87227\n16778 25221\n45774 68644\n90992 100000\n7607 11431\n55081 82594\n64810 97205\n87359 100000\n36710 55045\n60380 90585\n12204 18326\n2148 3223\n14410 21664\n91472 100000\n66816 100000\n96057 100000\n88434 100000\n51451 77118\n31495 47252\n35880 53796\n87950 100000\n11275 16920\n32509 48773\n96453 100000\n54297 81381\n77837 100000\n46385 69539\n61563 92347\n12165 18261\n3728 5618\n13745 20660\n33138 49695\n30918 46401\n18827 28312\n48660 72931\n55408 83088\n79440 100000\n84553 100000\n87334 100000\n72642 100000\n17189 25833\n76991 100000\n88081 100000\n562 860\n89584 100000\n90460 100000\n91304 100000\n83060 100000\n26228 39353\n51026 76496\n33220 49818\n52695 78973\n2992 4518\n14860 22353\n40067 60080\n61095 91653\n14847 22336\n58070 87094\n24904 37363\n15118 22751\n30077 45099\n98777 100000\n17359 26095\n22235 33385\n23745 35627\n87526 100000\n45724 68574\n16170 24310\n56425 84630\n85293 100000\n8848 13276\n98357 100000\n75095 100000\n41232 61843\n56383 84569\n95045 100000\n3393 5122\n99958 100000\n33463 50177\n23527 35301\n73742 100000\n36419 54607\n22452 33700\n92388 100000\n26232 39358\n5650 8493\n91602 100000\n54570 81804\n91756 100000\n64957 97429\n23946 35934\n76996 100000\n42700 64037\n98783 100000\n96179 100000\n33308 49945\n90058 100000\n8820 13235\n53349 79973\n742 1133\n93948 100000\n78249 100000\n25652 38478\n41483 62222\n75782 100000\n62885 94340\n85454 100000\n79926 100000\n60728 91096\n81859 100000\n98038 100000\n25548 38323\n53185 79717\n80945 100000\n69290 100000\n78256 100000\n79789 100000\n97220 100000\n87668 100000\n29640 44444\n53415 80067\n73868 100000\n28566 42841\n68754 100000\n58276 87408\n62036 93060\n60641 90966\n64342 96501\n65326 97987\n42457 63681\n56192 84272\n16754 25188\n6328 9533\n91895 100000\n22076 33154\n99449 100000\n47693 71476\n51407 77058\n26225 39347\n70607 100000\n29405 44106\n70470 100000\n8492 12741\n53512 80209\n40469 60686\n2730 4116\n43227 64833\n86255 100000\n54287 81367\n17228 25894\n41619 62425\n66172 99276\n47044 70516\n68769 100000\n80758 100000\n86546 100000\n24506 36771\n49597 74342\n18050 27119\n21973 33002\n51834 77685\n23406 35126\n1659 2504\n95848 100000\n39738 59584\n11512 17278\n72733 100000\n59170 88751\n67792 100000\n55127 82671\n70523 100000\n73318 100000\n7868 11820\n19835 29821\n3322 5014\n67722 100000\n91686 100000\n69823 100000\n68010 100000\n62407 93627\n60255 90392\n20277 30483\n85629 100000\n18109 27206\n35076 52608\n33769 50638\n39743 59591\n9825 14743\n43394 65095\n78785 100000\n32170 48264\n59893 89864\n68008 100000\n35466 53186\n63404 95088\n78820 100000\n53143 79647\n38651 57956\n55612 83406\n76426 100000\n62450 93692\n631 965\n14949 22489\n81000 100000\n78423 100000\n7145 10747\n61319 91987\n97880 100000\n73822 100000\n87971 100000\n47775 71595\n20059 30157\n62600 93916\n89828 100000\n19621 29502\n58998 88488\n31845 47781\n14975 22527\n24311 36481\n25173 37778\n20483 30783\n97647 100000\n75515 100000\n65226 97833\n18069 27148\n25312 37980\n36716 55056\n80092 100000\n28661 42988\n3748 5647\n62156 93234\n65697 98550\n3925 5909\n74729 100000\n7242 10888\n40721 61065\n20252 30446\n44498 66738\n51064 76552\n62312 93481\n66571 99866\n95280 100000\n55864 83775\n72532 100000\n13726 20633\n23069 34621\n96626 100000\n55014 82492\n69006 100000\n22087 33171\n59379 89064\n50592 75843\n46658 69942\n93842 100000\n58164 87237\n45327 67987\n65079 97613\n86792 100000\n17373 26117\n3291 4967\n73049 100000\n53560 80277\n89778 100000\n71340 100000\n89871 100000\n71742 100000\n74882 100000\n39563 59323\n95181 100000\n29406 44108\n13796 20735\n4073 6126\n28811 43217\n56391 84581\n43375 65064\n65854 98789\n50593 75844\n41491 62234\n1614 2433\n50874 76271\n80800 100000\n8946 13419\n73475 100000\n40077 60094\n15194 22861\n54061 81028\n76878 100000\n56919 85362\n66068 99120\n40372 60538\n96298 100000\n44281 66412\n48806 73152\n6461 9727\n37070 55583\n18722 28150\n3025 4566\n36327 54470\n45700 68539\n9401 14104\n46751 70081\n45809 68696\n84839 100000\n3654 5504\n54487 81684\n50138 75151\n12045 18083\n4431 6671\n46346 69486\n30641 45980\n68536 100000\n50463 75653\n9179 13763\n72277 100000\n63357 95023\n96005 100000\n38957 58401\n56347 84510\n4674 7036\n20860 31354\n25005 37522\n85574 100000\n65118 97666\n83524 100000\n27715 41560\n48084 72055\n73828 100000\n71507 100000\n75897 100000\n12471 18715\n1300 1971\n99719 100000\n10592 15888\n99252 100000\n96306 100000\n96595 100000\n66027 99055\n59117 88667\n41361 62039\n16532 24860\n14841 22328\n29469 44195\n52752 79059\n12679 19031\n70700 100000\n33403 50088\n96630 100000\n45855 68762\n12366 18559\n46537 69764\n2698 4061\n45047 67561\n89236 100000\n13143 19735\n54566 81797\n78548 100000\n88698 100000\n80872 100000\n45546 68314\n53306 79909\n66760 100000\n209 322\n41669 62500\n83044 100000\n42183 63277\n78373 100000\n69767 100000\n16006 24067\n27151 40704\n27887 41827\n7900 11870\n51475 77148\n69892 100000\n58637 87950\n88059 100000\n4075 6129\n9673 14514\n38714 58054\n29712 44555\n6132 9228\n844 1284\n67904 100000\n45006 67494\n25002 37518\n42708 64049\n11632 17458\n54121 81117\n19128 28761\n29692 44522\n29035 43551\n61722 92581\n62286 93436\n992 1504\n71511 100000\n71278 100000\n9433 14148\n56671 84993\n91073 100000\n96532 100000\n40788 61173\n51075 76570\n70815 100000\n27410 41098\n87263 100000\n92690 100000\n18193 27335\n78213 100000\n22269 33430\n91492 100000\n73406 100000\n11057 16593\n57505 86251\n37929 56874\n74464 100000\n41747 62622\n20766 31213\n18953 28501\n151 230\n48498 72680\n66003 99020\n96181 100000\n95974 100000\n54433 81602\n13424 20165\n15502 23326\n25727 38593\n93618 100000\n91213 100000\n25620 38429\n35810 53691\n64793 97178\n14626 21994\n63980 95940\n18708 28128\n94060 100000\n79675 100000\n81727 100000\n94908 100000\n28393 42581\n26181 39279\n88716 100000\n70350 100000\n42904 64346\n39260 58859\n67373 100000\n95591 100000\n72513 100000\n73565 100000\n31023 46564\n51544 77248\n48095 72069\n87601 100000\n40582 60857\n93362 100000\n45717 68563\n60266 90409\n69542 100000\n76710 100000\n75411 100000\n22086 33169\n10808 16211\n31007 46540\n71209 100000\n43310 64965\n89065 100000\n26845 40256\n22208 33349\n11002 16508\n11687 17546\n59525 89297\n25748 38626\n59345 89013\n24734 37109\n65918 98890\n79114 100000\n11161 16749\n30276 45405\n20222 30403\n79985 100000\n83058 100000\n94845 100000\n6754 10156\n36641 54943\n85983 100000\n39938 59882\n22377 33586\n8482 12728\n62772 94173\n28971 43458\n78850 100000\n19667 29568\n74163 100000\n17080 25661\n26390 39590\n47788 71619\n35480 53204\n19094 28710\n21922 32931\n1817 2734\n2455 3698\n96256 100000\n10710 16061\n44677 67000\n94115 100000\n41385 62075\n2003 3011\n24636 36960\n2305 3464\n68713 100000\n37539 56280\n61280 91924\n85949 100000\n60186 90296\n84313 100000\n99126 100000\n2257 3390\n18230 27392\n83078 100000\n6529 9822\n85050 100000\n48395 72519\n49377 74005\n30705 46075\n26325 39498\n73337 100000\n25694 38536\n48812 73161\n72295 100000\n26223 39344\n42512 63763\n88382 100000\n38439 57643\n27256 40861\n30891 46361\n85371 100000\n91094 100000\n11272 16914\n24194 36307\n30351 45517\n17770 26700\n7584 11399\n57402 86099\n37743 56593\n76204 100000\n32747 49122\n97026 100000\n18975 28534\n10267 15414\n83418 100000\n68114 100000\n38028 57026\n39802 59677\n35063 52588\n889 1349\n77042 100000\n48231 72273\n49045 73513\n86383 100000\n21445 32234\n74058 100000\n88803 100000\n32679 49019\n94287 100000\n93577 100000\n87916 100000\n3930 5917\n82786 100000\n38891 58308\n98300 100000\n98891 100000\n88729 100000\n3673 5533\n82934 100000\n65263 97885\n48909 73309\n57595 86381\n77326 100000\n43619 65427\n83171 100000\n70675 100000\n8341 12523\n46444 69627\n35867 53777\n53115 79604\n76851 100000\n33667 50486\n53485 80165\n43472 65215\n62237 93365\n22435 33674\n41021 61518\n80406 100000\n28135 42190\n46267 69369\n44031 66040\n86978 100000\n13635 20491\n9971 14964\n15503 23328\n26773 40152\n71508 100000\n16492 24802\n8284 12434\n35775 53633\n48477 72649\n97784 100000\n62208 93318\n94896 100000\n30895 46366\n63586 95358\n37463 56172\n5752 8642\n97975 100000\n78802 100000\n58394 87595\n7587 11404\n2278 3426\n79103 100000\n31676 47530\n96260 100000\n35956 53906\n38734 58083\n31556 47349\n51344 76964\n98400 100000\n57993 86972\n92015 100000\n89421 100000\n58487 87730\n63917 95855\n73723 100000\n72071 100000\n72157 100000\n26914 40353\n18081 27165\n64955 97427\n51920 77811\n29179 43756\n99162 100000\n90761 100000\n67319 100000\n94042 100000\n58594 87882\n5436 8170\n3303 4985\n1051 1588\n12536 18807\n60283 90436\n69258 100000\n29087 43622\n41288 61932\n25673 38506\n67497 100000\n37264 55879\n26214 39329\n50091 75080\n11072 16617\n11485 17238\n43666 65498\n92869 100000\n94768 100000\n18524 27836\n96917 100000\n41914 62880\n38797 58176\n3017 4554\n37636 56436\n13427 20171\n54812 82179\n31428 47155\n87032 100000\n8127 12203\n47390 71033\n23781 35680\n52143 78147\n92159 100000\n53110 79597\n80219 100000\n90121 100000\n63337 94993\n21656 32533\n87393 100000\n72106 100000\n61537 92304\n89769 100000\n16070 24162\n11882 17836\n22567 33875\n10179 15279\n15857 23841\n67007 100000\n3876 5833\n22419 33652\n84695 100000\n65993 99005\n32332 48505\n82903 100000\n30959 46467\n4269 6424\n21694 32587\n9374 14064\n38406 57590\n65465 98194\n54402 81551\n76527 100000\n79018 100000\n19193 28856\n38230 57330\n30088 45118\n85700 100000\n91152 100000\n13345 20043\n21964 32989\n21918 32926\n84246 100000\n14702 22118\n40421 60610\n71157 100000\n40023 60010\n10026 15047\n71543 100000\n60473 90725\n82052 100000\n34699 52041\n86961 100000\n78612 100000\n23881 35833\n32008 48026\n15147 22792\n89370 100000\n89178 100000\n70330 100000\n90027 100000\n74988 100000\n72128 100000\n22332 33521\n44920 67369\n47686 71465\n70640 100000\n45698 68537\n32298 48453\n88643 100000\n74892 100000\n23279 34934\n39870 59780\n54563 81793\n55092 82613\n73094 100000\n93605 100000\n26804 40198\n710 1083\n98825 100000\n58105 87146\n77208 100000\n35927 53864\n94784 100000\n11111 16679\n37086 55607\n11997 18007\n43211 64808\n59013 88510\n24276 36430\n52895 79276\n50399 75557\n43854 65771\n46120 69156\n42540 63805\n73262 100000\n21861 32846\n32213 48327\n73426 100000\n77733 100000\n78866 100000\n12230 18362\n77975 100000\n90408 100000\n3998 6007\n1967 2959\n22634 33976\n91681 100000\n11640 17472\n89777 100000\n59175 88758\n48076 72043\n36666 54982\n34520 51769\n2697 4060\n31644 47480\n55502 83237\n80796 100000\n12844 19273\n61105 91667\n77593 100000\n16348 24577\n30688 46049\n30141 45200\n74218 100000\n22979 34480\n60846 91279\n92961 100000\n88023 100000\n55842 83745\n55985 83958\n52300 78383\n42198 63300\n24032 36065\n32389 48593\n61369 92063\n10333 15508\n78720 100000\n33419 50112\n31373 47072\n65851 98786\n95235 100000\n83934 100000\n91901 100000\n57535 86294\n99564 100000\n3486 5257\n75172 100000\n42104 63153\n42682 64009\n28496 42741\n78328 100000\n96607 100000\n27928 41887\n74379 100000\n84904 100000\n70644 100000\n70672 100000\n72660 100000\n52082 78063\n68305 100000\n28178 42255\n58370 87558\n53717 80509\n6343 9556\n48920 73325\n70655 100000\n91382 100000\n96974 100000\n9708 14566\n61891 92847\n59331 88992\n77690 100000\n98818 100000\n2226 3346\n81457 100000\n77711 100000\n69527 100000\n7153 10758\n11308 16975\n14303 21505\n90428 100000\n52485 78658\n79179 100000\n45927 68865\n7429 11161\n27105 40635\n38018 57009\n41484 62224\n28459 42683\n62596 93909\n98782 100000\n43765 65645\n94977 100000\n91001 100000\n61744 92616\n54617 81875\n57194 85774\n50340 75463\n62634 93966\n31545 47331\n58323 87484\n10153 15238\n57632 86439\n69697 100000\n2802 4227\n24590 36891\n51901 77783\n87401 100000\n64666 96988\n5974 8982\n13717 20621\n2549 3841\n9201 13798\n96826 100000\n21522 32348\n32965 49442\n64726 97078\n19566 29422\n71977 100000\n5543 8328\n55752 83618\n41774 62667\n32551 48830\n25150 37746\n39867 59774\n65657 98491\n39163 58700\n61886 92840\n19879 29887\n16745 25176\n25164 37766\n78411 100000\n18396 27639\n94122 100000\n42776 64156\n30304 45445\n537 825\n51331 76944\n26286 39438\n63998 95973\n71074 100000\n55811 83702\n76386 100000\n83086 100000\n95810 100000\n90715 100000\n2677 4032\n13640 20498\n66527 99806\n66993 100000\n85314 100000\n4945 7443\n47228 70792\n18581 27924\n60795 91201\n19988 30052\n82927 100000\n4509 6784\n45761 68626\n25416 38134\n59979 89996\n98667 100000\n62025 93046\n26840 40248\n16360 24597\n25308 37974\n48789 73126\n26872 40292\n36744 55103\n92305 100000\n49683 74476\n77481 100000\n43151 64722\n15720 23646\n64195 96280\n33330 49979\n6983 10499\n45728 68582\n25749 38627\n58865 88287\n18935 28475\n19887 29900\n47082 70575\n33641 50447\n6584 9903\n24596 36900\n76467 100000\n7908 11883\n66508 99780\n55324 82964\n11262 16900\n25477 38225\n21663 32542\n63818 95700\n27600 41384\n80018 100000\n10964 16447\n67865 100000\n34696 52036\n51756 77562\n81688 100000\n73576 100000\n51429 77088\n1964 2956\n43008 64502\n39581 59353\n10594 15891\n22372 33579\n84866 100000\n21038 31628\n47708 71498\n8741 13114\n91225 100000\n86342 100000\n68563 100000\n55474 83191\n50673 75967\n48160 72169\n22099 33188\n99356 100000\n3465 5226\n75398 100000\n91688 100000\n70101 100000\n45087 67625\n20115 30240\n7722 11600\n22008 33056\n47661 71429\n70612 100000\n62866 94314\n36654 54963\n97208 100000\n52561 78771\n91054 100000\n89223 100000\n48102 72081\n86501 100000\n35397 53080\n10741 16109\n96344 100000\n3335 5032\n15477 23291\n82893 100000\n73004 100000\n47113 70618\n77347 100000\n18757 28205\n79736 100000\n80952 100000\n39797 59669\n30990 46519\n80098 100000\n76490 100000\n80090 100000\n71153 100000\n37470 56182\n65745 98626\n7796 11711\n44248 66361\n87030 100000\n96535 100000\n30367 45543\n86928 100000\n73739 100000\n4464 6718\n62003 93016\n1283 1945\n66512 99785\n39459 59161\n14273 21460\n87804 100000\n93661 100000\n2855 4309\n31003 46535\n69750 100000\n63471 95190\n28816 43225\n54439 81612\n12562 18848\n59377 89062\n55927 83872\n73258 100000\n37730 56573\n59396 89086\n44024 66031\n24381 36590\n43721 65584\n7742 11632\n26040 39068\n72040 100000\n48344 72446\n37549 56296\n4991 7508\n44724 67077\n99154 100000\n62683 94038\n38440 57645\n34789 52176\n15427 23215\n1601 2416\n34355 51518\n77692 100000\n5194 7812\n5540 8324\n31055 46610\n67842 100000\n93563 100000\n97105 100000\n60860 91300\n64605 96894\n50368 75511\n63410 95097\n75957 100000\n94205 100000\n1894 2852\n61241 91866\n75825 100000\n3377 5098\n3995 6004\n65612 98423\n11493 17250\n41573 62356\n14713 22136\n55056 82559\n65275 97904\n31933 47909\n55036 82529\n28900 43349\n68415 100000\n48823 73178\n70686 100000\n52600 78832\n27197 40770\n27604 41391\n62743 94127\n37605 56388\n97491 100000\n22346 33542\n39239 58829\n71739 100000\n13228 19868\n10827 16241\n77113 100000\n75410 100000\n17307 26019\n82532 100000\n61248 91876\n1370 2075\n99685 100000\n90652 100000\n12449 18682\n29286 43923\n76637 100000\n83131 100000\n45234 67845\n41148 61711\n16226 24396\n98761 100000\n88422 100000\n81778 100000\n3807 5735\n43955 65929\n95812 100000\n57035 85538\n24550 36834\n62653 93993\n79914 100000\n68747 100000\n67742 100000\n45475 68207\n84491 100000\n80502 100000\n97373 100000\n57806 86697\n68246 100000\n6610 9943\n7726 11606\n71712 100000\n9333 14004\n69269 100000\n22853 34292\n72633 100000\n89200 100000\n97897 100000\n35641 53437\n31648 47488\n44444 66654\n8285 12436\n59786 89705\n60333 90515\n9931 14910\n38956 58400\n91083 100000\n90302 100000\n31069 46631\n29596 44378\n7037 10582\n81298 100000\n50723 76042\n21188 31844\n71131 100000\n8922 13387\n43916 65869\n82245 100000\n65201 97792\n91896 100000\n94899 100000\n36297 54422\n84665 100000\n89066 100000\n58559 87832\n33751 50610\n1351 2048\n4620 6956\n90924 100000\n46769 70106\n73787 100000\n62414 93638\n49418 74067\n71054 100000\n46268 69370\n85897 100000\n27142 40690\n74593 100000\n97028 100000\n88884 100000\n59194 88786\n91881 100000\n15152 22800\n96458 100000\n34554 51820\n29794 44675\n97255 100000\n87540 100000\n86598 100000\n41020 61517\n73924 100000\n71080 100000\n62843 94283\n72382 100000\n59964 89972\n12169 18267\n18010 27058\n25095 37666\n71598 100000\n91169 100000\n93816 100000\n42053 63078\n73858 100000\n97609 100000\n62752 94144\n86207 100000\n63468 95185\n58642 87956\n56349 84512\n7558 11360\n25700 38547\n56297 84437\n71468 100000\n90060 100000\n81040 100000\n89743 100000\n75118 100000\n78821 100000\n83981 100000\n23989 36004\n20743 31175\n83634 100000\n7062 10618\n93666 100000\n89103 100000\n48333 72428\n1828 2749\n14034 21103\n97753 100000\n59606 89421\n10874 16314\n3659 5511\n18328 27536\n84745 100000\n95880 100000\n93328 100000\n6931 10414\n810 1230\n9945 14930\n49664 74448\n95207 100000\n45732 68587\n30453 45686\n76017 100000\n84980 100000\n17548 26370\n11615 17432\n92102 100000\n12082 18138\n71884 100000\n60578 90874\n96137 100000\n46666 69955\n72068 100000\n90242 100000\n51369 77002\n56937 85389\n83805 100000\n22251 33406\n60018 90049\n51512 77201\n30911 46391\n28611 42906\n51028 76499\n80603 100000\n18231 27393\n19663 29562\n84338 100000\n77436 100000\n44789 67173\n35949 53896\n33118 49663\n94630 100000\n15634 23524\n44365 66538\n28491 42733\n49496 74185\n95186 100000\n48221 72258\n11766 17661\n2578 3888\n40801 61193\n82290 100000\n81768 100000\n26626 39947\n24731 37105\n33558 50323\n2073 3113\n32362 48555\n18919 28450\n51177 76724\n82280 100000\n28752 43130\n60596 90902\n6984 10501\n88673 100000\n52901 79284\n96346 100000\n61245 91872\n16311 24525\n74238 100000\n76234 100000\n97873 100000\n94832 100000\n90220 100000\n90091 100000\n58724 88079\n34843 52262\n94677 100000\n68806 100000\n31351 47044\n24823 37247\n83861 100000\n18728 28159\n54174 81197\n80272 100000\n88469 100000\n23710 35574\n81486 100000\n26685 40027\n687 1050\n1340 2031\n91528 100000\n49803 74667\n84125 100000\n40342 60489\n13098 19669\n45760 68624\n16978 25513\n92858 100000\n35767 53622\n50581 75825\n75560 100000\n3579 5390\n9360 14044\n60183 90291\n51688 77461\n40912 61356\n31161 46766\n8585 12881\n7254 10906\n80322 100000\n1452 2197\n65828 98752\n3978 5981\n95237 100000\n11756 17646\n10477 15721\n5666 8516\n70876 100000\n84680 100000\n13511 20302\n23405 35124\n1641 2476\n12409 18622\n68389 100000\n27273 40885\n27004 40481\n61136 91710\n78151 100000\n31337 47023\n17376 26122\n98737 100000\n69650 100000\n89820 100000\n16693 25102\n29549 44312\n994 1508\n14978 22532\n14214 21375\n72982 100000\n19206 28874\n96580 100000\n64917 97364\n94471 100000\n57240 85844\n17658 26531\n71150 100000\n80482 100000\n88971 100000\n27245 40846\n57885 86807\n54255 81314\n36807 55203\n43118 64672\n75014 100000\n21588 32443\n35086 52620\n38540 57797\n33646 50454\n39077 58576\n98018 100000\n7291 10960\n31298 46963\n25500 38257\n48843 73210\n51987 77919\n25863 38802\n39256 58854\n57561 86331\n83282 100000\n62645 93980\n46988 70429\n73510 100000\n26426 39645\n7393 11111\n85562 100000\n75873 100000\n39048 58536\n25345 38029\n98773 100000\n99421 100000\n70209 100000\n19320 29043\n442 675\n98405 100000\n14487 21780\n25256 37900\n95572 100000\n69848 100000\n12019 18039\n17471 26258\n20411 30678\n86095 100000\n30441 45667\n31887 47844\n58184 87267\n45304 67954\n56253 84371\n65225 97832\n31600 47414\n56722 85069\n27032 40526\n19825 29806\n16152 24284\n46753 70084\n30401 45602\n45515 68263\n21039 31630\n4861 7310\n77231 100000\n94457 100000\n44653 66967\n84572 100000\n46065 69079\n34983 52469\n81659 100000\n90648 100000\n44882 67313\n50530 75751\n96556 100000\n56880 85300\n59272 88906\n38408 57594\n6051 9102\n10804 16204\n90713 100000\n1534 2322\n10432 15658\n77293 100000\n98290 100000\n27044 40543\n93917 100000\n43679 65517\n62617 93941\n63443 95147\n23111 34686\n42993 64479\n32775 49161\n49087 73571\n78273 100000\n55222 82812\n62191 93292\n74353 100000\n2525 3805\n66233 99368\n74959 100000\n43914 65865\n31993 48004\n44816 67208\n62215 93330\n64584 96864\n820 1247\n24121 36202\n47932 71828\n87736 100000\n22404 33628\n72346 100000\n94750 100000\n86055 100000\n29672 44493\n29737 44590\n12321 18489\n87431 100000\n22800 34215\n17102 25693\n77274 100000\n97600 100000\n82540 100000\n12454 18688\n91518 100000\n56041 84046\n59813 89744\n14653 22039\n27040 40536\n30478 45722\n85494 100000\n3270 4934\n8238 12369\n74240 100000\n1704 2564\n8552 12828\n58772 88153\n86920 100000\n1402 2120\n32124 48202\n27866 41795\n53473 80149\n12896 19355\n38430 57628\n24558 36844\n88845 100000\n58845 88258\n59693 89559\n3606 5427\n12651 18987\n90033 100000\n77620 100000\n57573 86349\n14870 22369\n5907 8881\n61897 92855\n88408 100000\n27434 41137\n64772 97145\n48648 72915\n17009 25555\n65241 97855\n83472 100000\n26588 39887\n54817 82187\n78818 100000\n83088 100000\n95309 100000\n16581 24931\n24722 37090\n92759 100000\n66649 99982\n40310 60444\n87967 100000\n24469 36721\n86993 100000\n61944 92928\n81523 100000\n46818 70176\n45276 67909\n77628 100000\n27964 41943\n39216 58789\n63749 95593\n24004 36025\n90167 100000\n8166 12261\n43017 64513\n59842 89787\n19279 28978\n20989 31553\n12965 19460\n676 1032\n26755 40124\n95056 100000\n87660 100000\n27613 41406\n19858 29858\n73099 100000\n85744 100000\n97563 100000\n91997 100000\n86030 100000\n25053 37594\n73493 100000\n32783 49172\n53700 80482\n84131 100000\n78240 100000\n89051 100000\n4640 6985\n98465 100000\n45229 67837\n97303 100000\n86312 100000\n92023 100000\n7902 11873\n86677 100000\n46274 69378\n73927 100000\n36528 54768\n69379 100000\n37755 56610\n57400 86097\n81891 100000\n95216 100000\n28381 42565\n79474 100000\n20927 31459\n44101 66140\n72031 100000\n52251 78305\n86461 100000\n43612 65418\n85094 100000\n61032 91560\n28404 42596\n51878 77754\n95176 100000\n99638 100000\n38930 58363\n98770 100000\n47906 71785\n5003 7525\n79698 100000\n75491 100000\n60471 90723\n26149 39234\n10281 15435\n90991 100000\n71109 100000\n53942 80852\n84116 100000\n44873 67299\n19056 28649\n90434 100000\n89279 100000\n29458 44179\n50891 76296\n27922 41878\n57074 85597\n35892 53814\n32012 48031\n4920 7400\n4598 6923\n77944 100000\n57631 86437\n3644 5488\n50713 76028\n46618 69884\n97807 100000\n60505 90767\n73329 100000\n56169 84240\n11959 17949\n12035 18066\n89205 100000\n52731 79028\n75965 100000\n23970 35974\n74092 100000\n83200 100000\n30415 45622\n12187 18297\n2380 3579\n81089 100000\n73896 100000\n83459 100000\n64838 97242\n69553 100000\n22317 33503\n76651 100000\n93698 100000\n28639 42954\n49417 74065\n89879 100000\n4580 6897\n99287 100000\n36776 55156\n15619 23501\n92280 100000\n28750 43126\n28528 42786\n25783 38680\n86051 100000\n69971 100000\n92453 100000\n88296 100000\n21059 31655\n52169 78186\n59558 89345\n82715 100000\n35813 53695\n18871 28380\n98278 100000\n67293 100000\n61346 92027\n95047 100000\n56243 84354\n86682 100000\n42693 64027\n41757 62641\n43046 64557\n20008 30084\n86162 100000\n33670 50489\n45306 67956\n61939 92919\n87809 100000\n34585 51870\n44020 66024\n99155 100000\n62961 94450\n14628 21998\n12664 19007\n30981 46503\n29318 43976\n83492 100000\n9042 13557\n57827 86725\n12257 18399\n16243 24422\n29211 43805\n60729 91097\n53807 80640\n89749 100000\n86289 100000\n3144 4740\n99029 100000\n62494 93759\n57607 86400\n11382 17080\n70050 100000\n92902 100000\n5687 8546\n65600 98402\n48554 72771\n30008 44997\n36566 54823\n93730 100000\n67977 100000\n40188 60263\n73423 100000\n45190 67778\n30220 45322\n42658 63976\n15229 22911\n11535 17313\n25387 38090\n58472 87711\n28422 42626\n34400 51589\n11939 17919\n8415 12632\n51681 77451\n70563 100000\n8153 12243\n32558 48840\n29735 44588\n84024 100000\n82843 100000\n70306 100000\n16942 25463\n55438 83133\n29953 44917\n4493 6758\n68909 100000\n67519 100000\n11258 16894\n826 1257\n64218 96317\n65064 97591\n92392 100000\n19626 29509\n33562 50328\n47077 70567\n77785 100000\n8046 12076\n95918 100000\n44490 66724\n29130 43686\n21273 31976\n74646 100000\n13929 20944\n75645 100000\n33037 49547\n1448 2191\n92749 100000\n68752 100000\n21772 32706\n16533 24862\n66270 99423\n99208 100000\n94009 100000\n87226 100000\n5041 7580\n35764 53617\n29994 44978\n55012 82489\n73044 100000\n97821 100000\n64053 96065\n7966 11966\n67554 100000\n10792 16186\n90387 100000\n3131 4722\n16909 25414\n7530 11319\n72994 100000\n16444 24724\n94133 100000\n47299 70900\n22278 33442\n9952 14941\n50529 75749\n53660 80425\n34982 52468\n34466 51690\n32790 49183\n6755 10158\n31793 47703\n98637 100000\n6523 9813\n20640 31020\n90136 100000\n78422 100000\n29404 44104\n96649 100000\n48165 72176\n55321 82961\n9383 14076\n4639 6984\n41556 62333\n20627 30997\n66278 99437\n48908 73308\n89571 100000\n8682 13028\n26705 40053\n17408 26164\n95896 100000\n35506 53239\n53542 80251\n94372 100000\n18370 27598\n57045 85552\n94041 100000\n41023 61521\n99351 100000\n98482 100000\n53820 80663\n48743 73062\n89537 100000\n24937 37418\n13527 20325\n15211 22885\n3984 5987\n47819 71659\n19425 29205\n43074 64600\n68756 100000\n30938 46434\n81601 100000\n36565 54822\n56458 84681\n75748 100000\n79237 100000\n19700 29619\n19972 30027\n40654 60965\n45718 68565\n6715 10102\n47334 70953\n97525 100000\n83638 100000\n67021 100000\n43764 65644\n98067 100000\n38165 57232\n96111 100000\n94704 100000\n90962 100000\n20326 30555\n69341 100000\n31210 46846\n11796 17708\n55460 83169\n61785 92680\n23647 35478\n98209 100000\n59598 89410\n95904 100000\n69852 100000\n64206 96298\n25168 37771\n40521 60762\n14132 21252\n70900 100000\n58197 87285\n91622 100000\n93358 100000\n58531 87797\n80153 100000\n4069 6118\n62621 93946\n77857 100000\n35638 53433\n6005 9027\n15357 23111\n16437 24714\n42117 63172\n69873 100000\n26262 39401\n81218 100000\n19248 28936\n81623 100000\n98224 100000\n37456 56161\n11950 17935\n12567 18856\n90174 100000\n73480 100000\n2060 3098\n33992 50970\n19840 29828\n34276 51394\n16655 25044\n86172 100000\n78131 100000\n69538 100000\n36782 55166\n57468 86198\n37994 56971\n63109 94676\n54845 82229\n26432 39655\n87686 100000\n76411 100000\n59010 88506\n85374 100000\n94783 100000\n69979 100000\n82389 100000\n21416 32189\n17030 25584\n10347 15528\n50024 74983\n15080 22692\n55544 83301\n13321 20004\n44503 66746\n97819 100000\n40749 61109\n19020 28599\n50304 75410\n10189 15295\n69845 100000\n14804 22274\n14398 21647\n84643 100000\n14111 21221\n82760 100000\n62281 93429\n20862 31356\n73342 100000\n79102 100000\n39871 59782\n2694 4057\n24841 37274\n18661 28048\n605 928\n97731 100000\n93415 100000\n84967 100000\n84380 100000\n42275 63412\n37468 56180\n46160 69214\n2546 3836\n39741 59588\n54359 81478\n88096 100000\n54029 80977\n12235 18369\n23562 35354\n99078 100000\n3222 4864\n64671 96996\n58619 87921\n13073 19630\n91624 100000\n92314 100000\n76730 100000\n29739 44593\n91245 100000\n18803 28276\n4321 6504\n36260 54363\n88630 100000\n4072 6124\n36855 55265\n18993 28561\n76066 100000\n84621 100000\n38000 56981\n13288 19951\n98281 100000\n84744 100000\n41091 61628\n9676 14518\n85915 100000\n9510 14265\n34535 51794\n73848 100000\n72030 100000\n18720 28146\n34716 52066\n96677 100000\n24091 36153\n98326 100000\n10348 15529\n28130 42181\n35453 53166\n60936 91414\n21246 31936\n53517 80215\n61079 91627\n77272 100000\n17402 26157\n13290 19954\n17327 26048\n65688 98535\n76020 100000\n49080 73563\n48931 73342\n89192 100000\n19498 29318\n15544 23389\n78725 100000\n50676 75972\n82359 100000\n44710 67056\n77645 100000\n35439 53143\n8339 12521\n22691 34059\n1268 1922\n94557 100000\n79463 100000\n43073 64598\n47587 71314\n99849 100000\n38051 57061\n37708 56539\n83867 100000\n84470 100000\n2490 3750\n36882 55303\n38271 57393\n25448 38182\n23868 35812\n29415 44120\n14082 21177\n31431 47159\n49694 74492\n29290 43929\n78562 100000\n38779 58149\n96173 100000\n46616 69881\n41422 62132\n89931 100000\n39933 59874\n51468 77138\n22437 33678\n3545 5341\n51146 76677\n95271 100000\n75433 100000\n60106 90188\n77072 100000\n53486 80167\n19872 29878\n90600 100000\n64170 96244\n5767 8664\n96060 100000\n16786 25233\n41531 62293\n50757 76096\n13870 20852\n37408 56088\n79863 100000\n13854 20825\n61165 91757\n75628 100000\n10505 15762\n67149 100000\n65633 98456\n62214 93328\n98128 100000\n17172 25809\n30167 45241\n51051 76532\n36170 54223\n48029 71973\n20088 30198\n26716 40068\n1372 2077\n92638 100000\n70512 100000\n64978 97460\n12203 18324\n21983 33018\n9492 14238\n46664 69952\n10040 15067\n41926 62897\n99263 100000\n86517 100000\n3100 4675\n53928 80831\n57278 85907\n33802 50694\n45207 67803\n63111 94678\n71967 100000\n47305 70908\n45242 67855\n11165 16755\n96294 100000\n37255 55864\n399 612\n7544 11338\n21027 31611\n64301 96442\n45678 68507\n61218 91835\n85430 100000\n8694 13045\n42511 63762\n87681 100000\n59127 88683\n49096 73588\n98239 100000\n78462 100000\n49748 74578\n23217 34846\n3158 4764\n34441 51649\n16961 25488\n32748 49123\n61213 91828\n44375 66552\n56005 83993\n97708 100000\n51686 77458\n21393 32153\n34001 50983\n24843 37277\n35370 53035\n96422 100000\n74836 100000\n87837 100000\n76391 100000\n59648 89489\n88174 100000\n33392 50068\n44198 66287\n14396 21643\n2820 4257\n97916 100000\n19196 28861\n64856 97268\n52944 79351\n65598 98398\n59453 89181\n89085 100000\n49831 74707\n70734 100000\n31817 47739\n70336 100000\n23802 35711\n29968 44941\n99239 100000\n91596 100000\n44535 66791\n66391 99604\n69894 100000\n70431 100000\n95963 100000\n36921 55362\n95789 100000\n82709 100000\n60243 90374\n47725 71527\n14569 21904\n69667 100000\n91736 100000\n38022 57016\n97257 100000\n28724 43082\n82272 100000\n34416 51611\n61673 92512\n20245 30436\n62640 93974\n14420 21679\n98308 100000\n7289 10958\n24392 36607\n57574 86350\n16478 24781\n38592 57869\n64736 97093\n59917 89898\n85663 100000\n34709 52057\n35605 53381\n29570 44338\n27816 41717\n52039 77996\n80129 100000\n54799 82157\n45796 68674\n49573 74306\n8028 12051\n52598 78829\n17942 26957\n76012 100000\n94111 100000\n68251 100000\n38904 58328\n25671 38502\n37525 56262\n77546 100000\n50580 75824\n42015 63023\n41620 62426\n48509 72698\n63603 95385\n25080 37642\n7456 11204\n36461 54671\n69734 100000\n14277 21467\n96215 100000\n72972 100000\n26372 39565\n6593 9917\n13784 20718\n67808 100000\n93675 100000\n84236 100000\n75937 100000\n47639 71395\n80987 100000\n5351 8047\n54205 81241\n58517 87773\n17656 26527\n57429 86138\n94949 100000\n73651 100000\n60303 90467\n15677 23584\n48954 73376\n21073 31676\n38026 57023\n74594 100000\n12475 18721\n29422 44128\n4397 6621\n59890 89860\n32090 48152\n72891 100000\n72099 100000\n1317 1996\n23389 35098\n55867 83780\n27402 41086\n2501 3770\n77340 100000\n27025 40516\n63215 94819\n41665 62495\n89120 100000\n48624 72881\n68485 100000\n4534 6823\n62204 93313\n56074 84095\n96472 100000\n86891 100000\n28973 43461\n38511 57756\n74326 100000\n5634 8470\n9260 13891\n77556 100000\n55100 82628\n25111 37687\n47919 71808\n10036 15060\n88351 100000\n38407 57592\n59638 89474\n55162 82722\n24554 36839\n65576 98366\n92828 100000\n23024 34546\n46413 69581\n40651 60962\n11905 17874\n46722 70033\n51691 77465\n20097 30209\n92153 100000\n9793 14695\n50146 75162\n28188 42269\n77535 100000\n90969 100000\n258 398\n32104 48171\n92402 100000\n30679 46037\n90214 100000\n45559 68333\n69962 100000\n84438 100000\n79244 100000\n26188 39287\n11813 17733\n40698 61026\n45602 68397\n29358 44041\n66441 99678\n16241 24419\n92295 100000\n48278 72346\n65071 97602\n6803 10226\n29524 44278\n18291 27481\n35134 52693\n9351 14031\n33093 49632\n62423 93652\n92157 100000\n59472 89213\n76669 100000\n86012 100000\n14694 22105\n83806 100000\n93575 100000\n50435 75609\n98334 100000\n85323 100000\n29465 44189\n80580 100000\n62766 94165\n40163 60225\n72007 100000\n400 614\n76936 100000\n83400 100000\n26884 40310\n81829 100000\n14310 21514\n35727 53563\n12564 18851\n17878 26859\n92297 100000\n53101 79585\n74948 100000\n83280 100000\n84784 100000\n93865 100000\n99721 100000\n83809 100000\n95643 100000\n8271 12416\n19701 29621\n97861 100000\n62549 93841\n83241 100000\n2738 4128\n52680 78954\n61595 92394\n34 53\n72837 100000\n28612 42908\n72590 100000\n81782 100000\n72512 100000\n55690 83523\n81860 100000\n85339 100000\n74140 100000\n53702 80485\n18761 28211\n39193 58747\n41254 61879\n96373 100000\n58284 87422\n12988 19498\n34387 51569\n47881 71747\n41628 62438\n93911 100000\n94544 100000\n70928 100000\n58732 88091\n55104 82634\n12926 19399\n72359 100000\n4761 7170\n91101 100000\n86818 100000\n89367 100000\n28800 43199\n39330 58970\n15753 23695\n49123 73629\n49778 74626\n36195 54261\n74726 100000\n47058 70539\n86307 100000\n67001 100000\n45890 68814\n84215 100000\n89610 100000\n47002 70453\n60403 90622\n43978 65962\n47038 70509\n25712 38569\n17870 26847\n11814 17735\n45666 68489\n5107 7683\n85045 100000\n1542 2334\n68637 100000\n49553 74277\n52054 78022\n53207 79753\n43403 65107\n46576 69819\n85911 100000\n76290 100000\n88054 100000\n22651 34003\n79043 100000\n42145 63216\n37305 55937\n81259 100000\n61694 92542\n8966 13448\n97835 100000\n45188 67776\n50060 75034\n88268 100000\n40266 60380\n53097 79580\n99102 100000\n68979 100000\n81842 100000\n1168 1768\n2868 4327\n29533 44290\n24508 36774\n75663 100000\n16279 24474\n29433 44144\n64248 96362\n17882 26865\n41418 62126\n63907 95840\n45309 67961\n38775 58144\n56258 84379\n1412 2135\n99859 100000\n50166 75196\n30539 45819\n94925 100000\n11654 17491\n39167 58707\n4916 7394\n97687 100000\n80331 100000\n32468 48709\n5845 8787\n8647 12974\n55249 82850\n18270 27448\n9048 13565\n88307 100000\n67637 100000\n8289 12441\n7735 11622\n94307 100000\n99013 100000\n96457 100000\n78460 100000\n6354 9575\n18755 28202\n39435 59126\n94884 100000\n54890 82295\n16780 25224\n12743 19125\n90017 100000\n91505 100000\n39007 58476\n13417 20153\n47484 71160\n55069 82578\n48859 73234\n34129 51173\n33006 49501\n56281 84409\n56372 84548\n78722 100000\n40364 60525\n61491 92242\n42984 64466\n74026 100000\n39894 59814\n2916 4401\n72587 100000\n20845 31332\n50338 75460\n62411 93634\n6683 10053\n73221 100000\n81843 100000\n48534 72739\n87767 100000\n88215 100000\n20630 31002\n5606 8429\n21915 32920\n4519 6800\n57277 85905\n65295 97938\n39764 59623\n61008 91524\n99412 100000\n95126 100000\n30456 45689\n4367 6577\n39190 58742\n27474 41202\n7386 11103\n29716 44560\n94432 100000\n51469 77139\n79962 100000\n21069 31671\n51211 76776\n77823 100000\n23228 34860\n12372 18568\n56884 85307\n59543 89323\n94951 100000\n16113 24225\n44228 66332\n78928 100000\n95304 100000\n966 1467\n79911 100000\n10232 15360\n57820 86717\n32919 49376\n82172 100000\n74395 100000\n92613 100000\n89286 100000\n22728 34111\n57837 86736\n24756 37143\n81496 100000\n41256 61882\n56950 85410\n59670 89523\n30208 45304\n88181 100000\n52492 78669\n21296 32009\n16310 24524\n13474 20244\n5519 8292\n25359 38048\n3775 5690\n72405 100000\n56561 84835\n91279 100000\n40265 60379\n81115 100000\n65271 97897\n96362 100000\n89455 100000\n9586 14384\n8846 13273\n79569 100000\n92514 100000\n67400 100000\n26882 40307\n61697 92545\n37184 55753\n25961 38949\n89718 100000\n48714 73015\n25709 38564\n81648 100000\n30158 45228\n18199 27345\n62984 94485\n33087 49623\n28291 42428\n98262 100000\n58503 87753\n60375 90577\n80020 100000\n72703 100000\n76320 100000\n91599 100000\n10897 16347\n27408 41095\n57478 86210\n71158 100000\n11316 16986\n93126 100000\n96804 100000\n13668 20540\n444 678\n50161 75189\n16878 25368\n89233 100000\n32795 49191\n93242 100000\n84981 100000\n20660 31047\n10302 15466\n43044 64554\n93189 100000\n9192 13782\n40098 60124\n1071 1619\n58355 87535\n14924 22450\n64338 96494\n95745 100000\n82049 100000\n28552 42821\n55146 82699\n72964 100000\n28013 42012\n75103 100000\n13902 20899\n25555 38334\n24305 36473\n69760 100000\n77442 100000\n8453 12686\n24950 37436\n63243 94861\n22117 33216\n44203 66294\n17220 25880\n49456 74123\n49190 73728\n49282 73862\n63742 95580\n11232 16854\n39550 59302\n32246 48382\n46100 69128\n82833 100000\n46429 69605\n44746 67109\n30096 45129\n22198 33337\n68667 100000\n88676 100000\n28645 42963\n19623 29504\n10817 16225\n19340 29076\n37892 56817\n86099 100000\n25913 38879\n46562 69803\n55815 83708\n29025 43537\n7677 11537\n78749 100000\n41602 62399\n48131 72123\n84157 100000\n1411 2134\n5769 8666\n28312 42460\n60977 91477\n2320 3491\n12458 18694\n9096 13634\n98793 100000\n14624 21990\n18843 28335\n61019 91542\n273 419\n92910 100000\n25301 37963\n66956 100000\n1321 2003\n42790 64177\n73804 100000\n95938 100000\n28447 42663\n19404 29175\n73795 100000\n15573 23431\n37909 56841\n49716 74526\n4873 7328\n5367 8073\n92087 100000\n25060 37607\n75643 100000\n39660 59469\n45570 68348\n92371 100000\n80737 100000\n88051 100000\n80464 100000\n78342 100000\n36944 55393\n84350 100000\n39578 59348\n24902 37360\n9064 13588\n23975 35982\n3208 4839\n62696 94057\n74422 100000\n21256 31952\n17425 26187\n83294 100000\n9754 14637\n25203 37824\n2964 4475\n71624 100000\n27344 40990\n12107 18171\n97560 100000\n68403 100000\n4802 7229\n69999 100000\n47244 70815\n71102 100000\n61644 92468\n67565 100000\n13087 19652\n79368 100000\n30038 45042\n93736 100000\n65774 98670\n33526 50271\n91466 100000\n95020 100000\n52837 79191\n38764 58128\n73905 100000\n22936 34418\n71185 100000\n80293 100000\n54497 81697\n30947 46449\n70551 100000\n40739 61094\n76603 100000\n10606 15908\n6130 9224\n82336 100000\n22414 33642\n15571 23428\n40718 61060\n46885 70275\n81549 100000\n53630 80383\n56242 84352\n69917 100000\n97366 100000\n12964 19458\n64765 97134\n40663 60977\n97380 100000\n48205 72232\n90284 100000\n68117 100000\n15281 22996\n46992 70435\n52355 78464\n20305 30525\n7890 11853\n85607 100000\n16713 25131\n55578 83351\n15829 23804\n34168 51236\n51066 76555\n79496 100000\n50090 75078\n48578 72805\n21600 32459\n58181 87263\n17617 26470\n55928 83874\n50690 75992\n67648 100000\n84 133\n5489 8250\n6817 10247\n71575 100000\n21139 31772\n60235 90363\n95889 100000\n27064 40574\n49802 74665\n3340 5040\n73902 100000\n55521 83265\n56710 85052\n58630 87938\n84242 100000\n96639 100000\n34685 52021\n42300 63446\n19604 29478\n93498 100000\n82320 100000\n74147 100000\n41320 61981\n1176 1780\n66552 99841\n11180 16776\n44664 66982\n45889 68813\n5552 8344\n20674 31068\n52464 78629\n48421 72562\n15891 23896\n41933 62909\n8427 12650\n60360 90556\n26329 39505\n50108 75107\n82166 100000\n84942 100000\n71589 100000\n92205 100000\n48054 72008\n17640 26501\n8286 12437\n79791 100000\n88169 100000\n13616 20463\n34601 51894\n17608 26455\n74185 100000\n25263 37911\n65858 98796\n67647 100000\n80558 100000\n11937 17916\n71480 100000\n52189 78218\n94646 100000\n84068 100000\n5122 7705\n42004 63007\n98205 100000\n20703 31116\n27002 40477\n20739 31170\n19690 29605\n2993 4519\n4211 6338\n59124 88678\n13979 21016\n34850 52275\n99728 100000\n81291 100000\n31121 46704\n84786 100000\n48900 73299\n82606 100000\n84651 100000\n40561 60825\n44949 67409\n65716 98578\n12895 19353\n50002 74952\n80504 100000\n40815 61216\n14864 22360\n80019 100000\n38342 57494\n25284 37939\n74206 100000\n96831 100000\n74445 100000\n83310 100000\n92393 100000\n22912 34382\n57206 85793\n83932 100000\n51993 77927\n15532 23370\n96705 100000\n43560 65343\n24374 36580\n65012 97507\n72659 100000\n88739 100000\n24562 36852\n54254 81312\n45253 67876\n67847 100000\n22790 34200\n89696 100000\n76187 100000\n73856 100000\n20501 30811\n21100 31718\n6526 9819\n21269 31970\n75124 100000\n60421 90646\n94538 100000\n91593 100000\n31625 47451\n38143 57195\n17859 26833\n78461 100000\n96410 100000\n26306 39467\n56733 85081\n31662 47507\n90236 100000\n89334 100000\n8392 12598\n2636 3971\n77608 100000\n37425 56113\n4854 7299\n59507 89271\n41905 62868\n75440 100000\n88741 100000\n83000 100000\n48724 73032\n68124 100000\n49645 74418\n57892 86819\n15014 22588\n14149 21278\n42954 64421\n70924 100000\n35376 53046\n34437 51641\n7175 10789\n3564 5369\n92442 100000\n4489 6753\n13727 20634\n71122 100000\n25868 38808\n1984 2981\n62932 94408\n37917 56854\n8105 12169\n50283 75380\n27116 40651\n7852 11796\n55195 82771\n67503 100000\n56780 85152\n20449 30733\n87878 100000\n49214 73764\n27822 41726\n59960 89966\n49345 73958\n9437 14154\n88535 100000\n86439 100000\n68020 100000\n34413 51606\n62994 94501\n2280 3429\n25940 38919\n34618 51918\n92723 100000\n85603 100000\n96791 100000\n57995 86975\n82909 100000\n9800 14706\n39278 58888\n81353 100000\n43353 65032\n22289 33460\n2597 3916\n18928 28465\n54273 81345\n11681 17535\n71288 100000\n93353 100000\n33514 50252\n35374 53043\n13453 20213\n87545 100000\n75608 100000\n96807 100000\n15900 23913\n51122 76641\n66168 99271\n96940 100000\n2139 3209\n30129 45183\n88166 100000\n8174 12273\n29274 43905\n9600 14406\n24386 36598\n97511 100000\n76324 100000\n18070 27149\n13891 20882\n96680 100000\n86658 100000\n12937 19418\n35984 53947\n67238 100000\n88067 100000\n22021 33074\n77763 100000\n89224 100000\n31347 47039\n84231 100000\n5103 7677\n93943 100000\n13866 20845\n83926 100000\n90683 100000\n20981 31540\n41987 62984\n74835 100000\n853 1297\n8000 12012\n25662 38490\n61389 92092\n54006 80944\n63342 95000\n15450 23250\n62524 93806\n8014 12030\n21407 32176\n28698 43042\n32313 48475\n69383 100000\n41357 62033\n78737 100000\n99773 100000\n92107 100000\n53073 79543\n71380 100000\n72577 100000\n26155 39242\n60705 91062\n30941 46438\n28233 42339\n83854 100000\n55956 83918\n17262 25945\n7079 10645\n37284 55905\n97113 100000\n35445 53152\n43478 65222\n73175 100000\n76454 100000\n51238 76814\n9291 13940\n50454 75639\n32526 48795\n10608 15911\n73661 100000\n30718 46096\n86028 100000\n47135 70654\n82623 100000\n77646 100000\n64566 96837\n61995 93004\n34625 51929\n56009 83999\n82805 100000\n33194 49778\n39410 59085\n30709 46082\n36536 54779\n97386 100000\n12939 19422\n67754 100000\n36294 54418\n20418 30689\n28659 42985\n37482 56200\n21089 31700\n90204 100000\n7562 11366\n83390 100000\n33713 50552\n58234 87341\n57522 86275\n78663 100000\n11230 16851\n21129 31757\n69422 100000\n9072 13600\n74525 100000\n60158 90258\n68928 100000\n40117 60152\n82430 100000\n73957 100000\n82789 100000\n433 662\n22961 34456\n39809 59689\n94347 100000\n75755 100000\n37721 56558\n24644 36971\n57268 85892\n32815 49220\n50806 76167\n7228 10870\n86582 100000\n99032 100000\n84309 100000\n80305 100000\n18015 27064\n83515 100000\n47229 70793\n32699 49052\n47845 71696\n83862 100000\n39320 58954\n87707 100000\n18372 27602\n38403 57586\n44331 66486\n1293 1958\n39784 59652\n94983 100000\n88924 100000\n94762 100000\n8716 13077\n92844 100000\n804 1221\n46894 70289\n36 55\n7884 11842\n74285 100000\n22070 33143\n55754 83621\n31308 46981\n92780 100000\n78913 100000\n25767 38652\n78944 100000\n73097 100000\n20586 30933\n52073 78050\n29562 44328\n86623 100000\n83442 100000\n65543 98317\n25815 38732\n71803 100000\n77493 100000\n12280 18430\n28902 43351\n36941 55390\n92558 100000\n63024 94547\n6690 10063\n23697 35552\n78917 100000\n53078 79551\n23308 34980\n43213 64811\n53567 80286\n1266 1919\n16175 24317\n78243 100000\n58216 87315\n94717 100000\n24017 36043\n99277 100000\n2274 3418\n65143 97705\n34302 51433\n24792 37199\n36181 54241\n21083 31692\n88277 100000\n90612 100000\n4167 6272\n99446 100000\n72365 100000\n97577 100000\n647 988\n78936 100000\n24546 36828\n75784 100000\n63599 95378\n10181 15281\n78939 100000\n73693 100000\n20056 30153\n68074 100000\n31904 47868\n26635 39961\n42184 63279\n86604 100000\n99949 100000\n69384 100000\n22764 34163\n85769 100000\n4793 7216\n55885 83809\n24651 36983\n68980 100000\n23726 35599\n72789 100000\n7186 10808\n3940 5932\n50478 75674\n74294 100000\n63525 95270\n36362 54524\n55091 82611\n66502 99771\n9177 13759\n75280 100000\n67701 100000\n89281 100000\n93826 100000\n72776 100000\n32136 48217\n43719 65580\n87047 100000\n79898 100000\n60751 91134\n76493 100000\n44010 66012\n99646 100000\n15650 23546\n47993 71923\n68237 100000\n29731 44580\n88881 100000\n66656 99994\n46055 69064\n97701 100000\n53141 79644\n3292 4969\n10945 16418\n52958 79372\n51764 77576\n57452 86174\n74049 100000\n69229 100000\n56863 85278\n14234 21402\n50446 75627\n49122 73627\n59880 89843\n2620 3948\n898 1363\n99836 100000\n98539 100000\n52812 79150\n65756 98641\n98436 100000\n47504 71189\n54628 81888\n12948 19436\n49726 74544\n81333 100000\n89807 100000\n33063 49584\n93335 100000\n81800 100000\n75161 100000\n73733 100000\n8163 12256\n54640 81908\n64920 97369\n54345 81456\n1078 1628\n83320 100000\n20884 31394\n81741 100000\n4441 6687\n49658 74439\n83361 100000\n71976 100000\n61912 92878\n34249 51354\n38086 57112\n28334 42492\n22361 33563\n98143 100000\n72832 100000\n25839 38768\n60009 90038\n81405 100000\n29393 44091\n77355 100000\n11040 16567\n9956 14948\n42516 63768\n62794 94205\n88858 100000\n84955 100000\n10217 15337\n59542 89321\n46623 69891\n74996 100000\n49708 74513\n43683 65522\n14597 21945\n13707 20603\n38674 57992\n57817 86713\n20001 30073\n81995 100000\n70703 100000\n92590 100000\n30285 45417\n56681 85009\n21760 32689\n62611 93931\n51929 77827\n45944 68891\n15865 23853\n62862 94308\n6227 9377\n99994 100000\n50519 75735\n98118 100000\n98738 100000\n3468 5232\n28339 42500\n33998 50979\n3280 4950\n68228 100000\n84224 100000\n37120 55657\n26396 39599\n32490 48745\n59752 89655\n95509 100000\n50048 75019\n24766 37159\n4572 6885\n40665 60979\n79943 100000\n14238 21409\n99372 100000\n2194 3298\n85232 100000\n21434 32218\n80927 100000\n96733 100000\n66730 100000\n62334 93518\n9557 14339\n33404 50089\n12959 19450\n29646 44453\n55274 82889\n74947 100000\n5554 8347\n72358 100000\n17059 25628\n24176 36279\n97912 100000\n58866 88288\n25932 38907\n7503 11276\n22534 33821\n56115 84156\n72945 100000\n38997 58460\n22163 33284\n29620 44412\n20776 31227\n97450 100000\n19075 28680\n3588 5402\n56992 85475\n83234 100000\n3869 5822\n91060 100000\n65908 98875\n72155 100000\n87284 100000\n46066 69080\n90972 100000\n725 1104\n12313 18476\n58251 87370\n47704 71491\n87609 100000\n87488 100000\n48553 72769\n34791 52180\n77403 100000\n3260 4917\n23607 35421\n34443 51652\n47666 71438\n76845 100000\n86015 100000\n46010 68990\n9315 13979\n86669 100000\n80527 100000\n96391 100000\n69828 100000\n1029 1553\n23826 35748\n53998 80932\n76113 100000\n2291 3446\n72530 100000\n31338 47024\n81650 100000\n11973 17970\n87162 100000\n60387 90598\n49332 73936\n91513 100000\n25266 37916\n78929 100000\n67305 100000\n94921 100000\n52645 78901\n33120 49666\n63001 94511\n64410 96603\n64798 97184\n93809 100000\n60788 91191\n90187 100000\n25834 38761\n51044 76524\n90836 100000\n12267 18413\n43959 65933\n65969 98966\n47774 71593\n90626 100000\n60221 90344\n36339 54486\n57340 86004\n15533 23372\n80334 100000\n7039 10584\n73527 100000\n35052 52570\n71898 100000\n84821 100000\n95531 100000\n29790 44669\n73678 100000\n10693 16032\n2347 3530\n91920 100000\n98276 100000\n14601 21952\n7500 11271\n17737 26648\n81016 100000\n92438 100000\n66825 100000\n2913 4396\n71633 100000\n41979 62973\n96115 100000\n71770 100000\n52042 78002\n50310 75419\n32001 48016\n34739 52102\n55947 83903\n89952 100000\n29241 43851\n43845 65759\n3624 5455\n6929 10411\n36893 55318\n3296 4976\n41937 62913\n83354 100000\n95837 100000\n85315 100000\n21516 32339\n91805 100000\n10496 15750\n84505 100000\n71028 100000\n42793 64183\n72015 100000\n8447 12677\n35237 52842\n87122 100000\n58883 88317\n15855 23839\n51727 77520\n72987 100000\n67914 100000\n761 1160\n6114 9198\n59865 89821\n49069 73546\n33073 49599\n75349 100000\n42423 63634\n97914 100000\n37099 55627\n4545 6841\n99782 100000\n32358 48548\n74099 100000\n888 1348\n78773 100000\n70764 100000\n8222 12347\n39020 58494\n5317 7994\n80398 100000\n80575 100000\n21759 32688\n88654 100000\n79441 100000\n97043 100000\n90482 100000\n681 1040\n24658 36995\n98232 100000\n29205 43795\n28818 43228\n59431 89144\n36167 54218\n75337 100000\n58263 87388\n95494 100000\n398 610\n57497 86239\n3376 5096\n33469 50185\n30999 46531\n79479 100000\n47392 71035\n65334 97998\n48652 72920\n10462 15702\n18885 28402\n42618 63923\n51031 76503\n81556 100000\n83606 100000\n85960 100000\n13554 20364\n18963 28515\n70397 100000\n97231 100000\n95134 100000\n86602 100000\n97533 100000\n49301 73890\n14619 21980\n70593 100000\n7800 11716\n77773 100000\n74805 100000\n75833 100000\n32055 48098\n76358 100000\n27687 41515\n10425 15646\n55351 83005\n98815 100000\n21054 31649\n25249 37890\n76279 100000\n75263 100000\n64911 97356\n46460 69649\n1073 1621\n12519 18783\n90202 100000\n3344 5048\n68878 100000\n97902 100000\n19763 29716\n80485 100000\n26984 40450\n43767 65647\n53488 80169\n86662 100000\n94266 100000\n48340 72439\n25819 38738\n75043 100000\n98516 100000\n85243 100000\n46777 70118\n65964 98959\n89267 100000\n78289 100000\n74045 100000\n87206 100000\n80347 100000\n24995 37506\n6419 9674\n23623 35441\n19760 29711\n59153 88725\n39009 58479\n95743 100000\n87289 100000\n52785 79109\n53320 79930\n92271 100000\n28756 43136\n46406 69573\n47592 71322\n52664 78930\n43417 65128\n92572 100000\n74710 100000\n29190 43773\n62746 94132\n77737 100000\n28282 42412\n22758 34155\n59602 89416\n8556 12835\n17973 27000\n20458 30747\n82732 100000\n34459 51679\n3523 5308\n99630 100000\n56936 85387\n28155 42219\n42684 64012\n50114 75115\n87504 100000\n79373 100000\n20722 31146\n29456 44176\n31389 47097\n52899 79281\n21635 32506\n79223 100000\n44113 66159\n68901 100000\n81121 100000\n99913 100000\n64199 96287\n99713 100000\n76837 100000\n2854 4307\n98192 100000\n85756 100000\n99873 100000\n80049 100000\n6847 10294\n32907 49356\n55190 82762\n87641 100000\n38118 57158\n31941 47922\n46288 69398\n34590 51880\n35538 53287\n31840 47773\n1637 2469\n41398 62092\n36693 55019\n63990 95959\n75125 100000\n54574 81810\n12667 19012\n38418 57610\n77295 100000\n69918 100000\n62651 93989\n76945 100000\n53946 80857\n69748 100000\n66640 99971\n48218 72253\n25376 38074\n72001 100000\n52735 79034\n73153 100000\n52382 78502\n96670 100000\n69375 100000\n40602 60888\n97576 100000\n81705 100000\n54267 81334\n30921 46407\n58392 87592\n98701 100000\n22407 33632\n96962 100000\n60498 90756\n19789 29754\n56774 85143\n38701 58036\n32036 48067\n32500 48761\n96817 100000\n26443 39671\n91117 100000\n7035 10579\n68568 100000\n72082 100000\n53624 80374\n93120 100000\n18996 28565\n80073 100000\n21486 32299\n31743 47633\n76898 100000\n72454 100000\n18855 28354\n91388 100000\n82849 100000\n83489 100000\n49638 74406\n98500 100000\n21110 31732\n45334 67997\n93301 100000\n75935 100000\n27693 41524\n6897 10367\n36355 54513\n62938 94417\n91098 100000\n53372 80003\n36665 54980\n64655 96970\n15113 22745\n59685 89547\n33237 49842\n52133 78132\n44271 66398\n91939 100000\n57442 86159\n53558 80274\n51774 77591\n52002 77941\n3441 5193\n42290 63436\n5657 8503\n60270 90415\n54078 81051\n75110 100000\n9373 14063\n49801 74664\n30813 46244\n31279 46937\n10583 15872\n38979 58434\n64151 96214\n61060 91600\n66481 99740\n31857 47797\n48180 72198\n25204 37825\n37718 56553\n67911 100000\n2610 3934\n30650 45992\n51979 77905\n64656 96972\n95824 100000\n37904 56833\n47918 71807\n60959 91452\n83069 100000\n22638 33983\n7508 11284\n81540 100000\n892 1354\n26388 39587\n44797 67184\n6486 9760\n44898 67337\n37796 56677\n65487 98228\n9818 14733\n97475 100000\n78732 100000\n79810 100000\n76666 100000\n46835 70200\n74134 100000\n21254 31948\n94447 100000\n94049 100000\n84122 100000\n31440 47172\n90642 100000\n12252 18393\n26875 40298\n55739 83596\n71346 100000\n43323 64987\n1552 2349\n57732 86586\n35166 52744\n49994 74941\n1354 2052\n9152 13720\n9173 13752\n2468 3717\n4810 7240\n28804 43206\n27019 40504\n1079 1630\n82696 100000\n35215 52811\n86958 100000\n97987 100000\n42025 63037\n83918 100000\n31613 47435\n31541 47324\n72425 100000\n88840 100000\n55082 82596\n1777 2675\n9237 13855\n36125 54156\n60943 91426\n35013 52517\n99374 100000\n15182 22842\n32886 49324\n34917 52375\n4226 6361\n20794 31255\n26947 40400\n79300 100000\n54187 81215\n20702 31114\n45916 68853\n71128 100000\n5231 7866\n3823 5756\n31075 46640\n14304 21506\n72225 100000\n83124 100000\n45368 68047\n42097 63142\n67262 100000\n7384 11100\n40078 60095\n1987 2987\n27377 41043\n6125 9216\n42908 64353\n79037 100000\n61743 92614\n53758 80568\n20956 31502\n19008 28584\n50488 75690\n61024 91548\n34958 52430\n43938 65901\n89547 100000\n98726 100000\n58576 87856\n20280 30487\n25974 38968\n60541 90821\n84630 100000\n9370 14059\n97437 100000\n66537 99822\n70163 100000\n75329 100000\n70807 100000\n69144 100000\n23260 34907\n54306 81397\n80185 100000\n74738 100000\n84155 100000\n51431 77090\n36816 55213\n71535 100000\n99153 100000\n8604 12910\n71459 100000\n39319 58952\n73807 100000\n127 196\n55700 83537\n66451 99695\n5573 8379\n85866 100000\n87800 100000\n55930 83878\n34745 52114\n42382 63569\n72392 100000\n81429 100000\n80231 100000\n77958 100000\n56939 85393\n96688 100000\n85477 100000\n50400 75559\n77331 100000\n66450 99693\n81197 100000\n93999 100000\n57134 85682\n71179 100000\n18696 28108\n64276 96404\n74073 100000\n58100 87138\n30361 45533\n81539 100000\n71518 100000\n75987 100000\n33267 49884\n39282 58893\n30537 45817\n65739 98615\n4011 6025\n88620 100000\n62937 94415\n91644 100000\n37542 56284\n76526 100000\n4219 6350\n50781 76130\n34747 52116\n2477 3728\n19207 28875\n43420 65133\n8584 12879\n29361 44046\n20325 30554\n8404 12613\n56378 84559\n68995 100000\n77695 100000\n59076 88606\n4036 6063\n63730 95566\n40904 61343\n37595 56372\n75345 100000\n68206 100000\n35639 53434\n20032 30118\n28776 43166\n82209 100000\n44586 66867\n42907 64351\n51243 76821\n80170 100000\n6102 9179\n62203 93311\n14091 21191\n23327 35004\n21614 32475\n65755 98640\n56539 84800\n59399 89091\n56651 84967\n61723 92582\n54927 82352\n22271 33433\n20778 31231\n49853 74739\n63324 94974\n66435 99668\n99894 100000\n35823 53709\n89142 100000\n33127 49676\n71762 100000\n64099 96132\n90663 100000\n39994 59964\n53729 80525\n14766 22217\n39825 59713\n86108 100000\n88488 100000\n66678 100000\n21299 32014\n52136 78136\n32075 48128\n39005 58472\n93517 100000\n42735 64094\n9198 13792\n62213 93326\n16932 25449\n26457 39692\n16309 24523\n3194 4818\n34005 50989\n82252 100000\n33767 50636\n473 724\n5235 7874\n77275 100000\n92805 100000\n82254 100000\n96657 100000\n20350 30596\n55619 83418\n91728 100000\n59760 89667\n66694 100000\n25785 38684\n79468 100000\n98101 100000\n91329 100000\n88763 100000\n94318 100000\n11612 17427\n26706 40054\n12152 18240\n2897 4372\n40691 61015\n92307 100000\n45838 68739\n74223 100000\n30391 45584\n4556 6858\n14430 21693\n26565 39853\n44374 66551\n5424 8151\n61863 92806\n47904 71781\n92224 100000\n56784 85159\n5106 7682\n63957 95909\n47207 70763\n46484 69682\n61332 92007\n26003 39011\n20253 30447\n61011 91530\n54742 82071\n85031 100000\n87454 100000\n40809 61207\n89442 100000\n49181 73714\n913 1388\n48720 73024\n14524 21835\n98382 100000\n52308 78395\n72056 100000\n70274 100000\n41417 62124\n49648 74423\n2016 3031\n24564 36855\n58701 88043\n45833 68731\n25480 38228\n36740 55097\n35512 53247\n20279 30485\n26354 39540\n16805 25262\n65056 97578\n63708 95536\n85956 100000\n31574 47374\n97985 100000\n79715 100000\n56827 85227\n46408 69575\n59457 89187\n504 772\n66604 99918\n25372 38068\n24075 36126\n89731 100000\n3492 5266\n32687 49034\n11183 16780\n64266 96389\n35365 53028\n71886 100000\n24063 36110\n86017 100000\n61013 91532\n41668 62499\n30622 45950\n79733 100000\n30232 45340\n68140 100000\n28831 43245\n90400 100000\n43041 64549\n75850 100000\n24446 36685\n48423 72566\n93859 100000\n44162 66234\n1852 2788\n84163 100000\n73310 100000\n12640 18967\n51596 77324\n81183 100000\n82401 100000\n81156 100000\n52438 78590\n447 683\n10908 16365\n41735 62604\n95780 100000\n32110 48181\n64513 96753\n27055 40557\n7244 10891\n64497 96729\n18869 28378\n75352 100000\n46369 69515\n15101 22726\n4267 6421\n42121 63178\n1589 2398\n38129 57173\n57258 85874\n72466 100000\n64663 96984\n73215 100000\n86878 100000\n80511 100000\n81311 100000\n34930 52391\n74350 100000\n14684 22088\n99417 100000\n64429 96631\n68122 100000\n49872 74769\n33367 50031\n72615 100000\n2981 4500\n84901 100000\n66716 100000\n88443 100000\n76126 100000\n31830 47759\n52220 78264\n75771 100000\n33528 50274\n45039 67547\n18060 27133\n32263 48405\n54896 82305\n66963 100000\n81588 100000\n70582 100000\n68056 100000\n57796 86682\n70434 100000\n63811 95686\n26450 39682\n10064 15106\n27072 40586\n24703 37061\n13761 20684\n85711 100000\n86608 100000\n85974 100000\n20321 30547\n4452 6703\n17906 26902\n19033 28618\n76216 100000\n616 944\n71637 100000\n12289 18443\n58940 88404\n35271 52888\n77914 100000\n30560 45851\n94851 100000\n46367 69512\n60072 90130\n92064 100000\n8540 12808\n12046 18085\n85549 100000\n14245 21417\n62491 93754\n50917 76335\n91934 100000\n21790 32736\n78984 100000\n48490 72669\n82752 100000\n6738 10134\n58141 87203\n7018 10552\n39663 59474\n29263 43887\n51826 77674\n91892 100000\n86203 100000\n75166 100000\n72631 100000\n8119 12193\n6318 9519\n53888 80768\n95161 100000\n47825 71667\n2168 3255\n64209 96303\n82169 100000\n84992 100000\n546 837\n51813 77652\n85379 100000\n48497 72679\n41147 61709\n96330 100000\n57891 86817\n96299 100000\n60104 90185\n54915 82334\n74700 100000\n91395 100000\n78109 100000\n35209 52802\n69046 100000\n83199 100000\n5548 8337\n13721 20627\n80597 100000\n42207 63314\n80467 100000\n23871 35815\n74451 100000\n17235 25904\n84172 100000\n66288 99452\n8941 13413\n23329 35008\n54614 81871\n33076 49604\n79462 100000\n14009 21062\n62712 94080\n69150 100000\n53186 79718\n45296 67943\n16721 25143\n79746 100000\n48804 73148\n96847 100000\n80572 100000\n77429 100000\n79547 100000\n16544 24877\n92085 100000\n43873 65798\n16804 25260\n39244 58837\n50672 75965\n25980 38976\n42080 63115\n69560 100000\n12022 18045\n68734 100000\n75871 100000\n17338 26063\n70829 100000\n7264 10921\n90931 100000\n58589 87875\n52282 78353\n14645 22027\n92849 100000\n54422 81585\n50988 76436\n97889 100000\n66314 99489\n31325 47005\n77399 100000\n87298 100000\n79282 100000\n43385 65082\n63066 94611\n14964 22509\n46143 69192\n31554 47345\n57071 85592\n71398 100000\n7305 10981\n54936 82365\n30610 45928\n39922 59856\n33635 50437\n62316 93487\n58715 88065\n63222 94828\n88951 100000\n60313 90481\n5315 7992\n18287 27476\n55616 83414\n72695 100000\n48651 72919\n26810 40206\n1944 2924\n72757 100000\n51094 76598\n9795 14698\n6282 9461\n439 669\n76373 100000\n22706 34080\n3959 5954\n75256 100000\n22451 33699\n18645 28023\n19125 28757\n98736 100000\n18259 27433\n33658 50472\n66718 100000\n6256 9421\n75511 100000\n94398 100000\n23 37\n61029 91556\n52606 78842\n93626 100000\n51579 77297\n54181 81208\n41206 61803\n93348 100000\n19617 29497\n6691 10065\n52649 78906\n21060 31657\n65430 98148\n45878 68796\n68772 100000\n15702 23622\n16712 25129\n9501 14254\n80351 100000\n73616 100000\n9244 13865\n67145 100000\n49481 74161\n75224 100000\n32029 48058\n2587 3900\n58217 87316\n64589 96870\n1440 2181\n88185 100000\n33638 50442\n78815 100000\n50473 75666\n39227 58806\n46368 69513\n20681 31082\n2484 3740\n35685 53502\n24727 37098\n30344 45506\n44665 66983\n56585 84871\n99779 100000\n36140 54179\n71376 100000\n7846 11786\n1739 2619\n70834 100000\n6714 10101\n43849 65765\n98928 100000\n36490 54711\n75237 100000\n25414 38131\n8389 12594\n77859 100000\n2473 3723\n67838 100000\n59301 88947\n91087 100000\n93739 100000\n49651 74427\n28093 42130\n65542 98316\n20362 30611\n84952 100000\n42750 64119\n75522 100000\n89313 100000\n29971 44946\n43376 65066\n95606 100000\n97632 100000\n78912 100000\n87452 100000\n63932 95875\n69905 100000\n53130 79628\n75083 100000\n69611 100000\n20684 31086\n85931 100000\n90248 100000\n50325 75443\n60023 90058\n64934 97392\n71091 100000\n88400 100000\n12665 19008\n18468 27746\n64436 96639\n83691 100000\n31916 47884\n32807 49210\n66010 99029\n3723 5609\n86703 100000\n11482 17235\n99202 100000\n70333 100000\n58007 86995\n17014 25564\n6552 9855\n13716 20619\n68412 100000\n32459 48695\n95398 100000\n90353 100000\n2211 3323\n47779 71601\n96075 100000\n87332 100000\n18312 27514\n63890 95814\n75366 100000\n89929 100000\n30697 46064\n33649 50459\n84561 100000\n51003 76459\n39951 59898\n91422 100000\n46790 70136\n55522 83266\n41171 61751\n42594 63887\n30605 45920\n72117 100000\n68847 100000\n3630 5466\n60150 90248\n57351 86021\n76703 100000\n2110 3165\n39573 59340\n91158 100000\n81870 100000\n62638 93971\n71469 100000\n76099 100000\n28118 42166\n59994 90016\n97325 100000\n42054 63079\n70643 100000\n12839 19266\n70596 100000\n12008 18024\n94808 100000\n56147 84205\n33789 50673\n82395 100000\n66326 99504\n55916 83853\n99581 100000\n7866 11817\n33039 49549\n92950 100000\n88730 100000\n85291 100000\n73383 100000\n50406 75569\n13808 20758\n19137 28775\n21926 32936\n13710 20608\n7927 11911\n52317 78407\n44320 66470\n24516 36784\n88176 100000\n20060 30158\n79590 100000\n68607 100000\n40007 59986\n34112 51148\n79100 100000\n25599 38398\n33483 50209\n50888 76291\n82326 100000\n56941 85397\n36265 54372\n36831 55232\n87897 100000\n67731 100000\n63142 94719\n464 711\n23576 35376\n97247 100000\n70792 100000\n3061 4619\n83349 100000\n91008 100000\n13820 20775\n35495 53223\n10684 16019\n18882 28398\n36669 54986\n60067 90123\n15018 22592\n96587 100000\n23103 34675\n49157 73679\n78804 100000\n59586 89390\n47602 71339\n90092 100000\n81003 100000\n54286 81366\n84875 100000\n31771 47672\n9324 13992\n30948 46450\n8801 13206\n33040 49551\n17535 26349\n35064 52590\n3779 5696\n7063 10620\n92535 100000\n39129 58651\n36821 55220\n56912 85351\n73704 100000\n65746 98628\n55022 82506\n15167 22821\n74017 100000\n25024 37549\n95443 100000\n46866 70246\n17085 25669\n53902 80790\n85360 100000\n16038 24115\n27195 40768\n22807 34226\n71704 100000\n47290 70887\n37806 56691\n42506 63756\n81374 100000\n29011 43515\n57386 86078\n90563 100000\n3880 5839\n31293 46956\n52554 78762\n45212 67811\n16297 24502\n56233 84339\n68047 100000\n9447 14167\n74963 100000\n48808 73156\n80459 100000\n76927 100000\n56315 84465\n72496 100000\n71379 100000\n6308 9502\n34090 51114\n84990 100000\n69265 100000\n18235 27399\n29395 44093\n95991 100000\n44352 66520\n53398 80041\n59927 89913\n5911 8886\n99111 100000\n20055 30152\n42886 64319\n2170 3259\n21764 32695\n75037 100000\n57640 86448\n89366 100000\n65920 98893\n93604 100000\n70676 100000\n70322 100000\n51744 77545\n11620 17439\n52978 79396\n25421 38141\n9981 14979\n25910 38876\n40735 61087\n26236 39364\n11704 17573\n5027 7558\n30889 46358\n7535 11325\n17867 26842\n69178 100000\n33710 50548\n63812 95688\n16599 24961\n96134 100000\n52502 78684\n76766 100000\n39095 58603\n58423 87637\n3746 5644\n4744 7142\n2087 3131\n82294 100000\n36495 54718\n78499 100000\n11332 17010\n54700 82005\n93734 100000\n14652 22037\n34172 51243\n18766 28219\n72084 100000\n18296 27489\n76706 100000\n82539 100000\n10584 15874\n18777 28235\n49343 73955\n99321 100000\n86881 100000\n72785 100000\n46571 69813\n9552 14331\n15057 22657\n4781 7200\n41015 61511\n38361 57522\n30506 45764\n25228 37860\n77561 100000\n80650 100000\n11296 16955\n18725 28155\n20837 31321\n66559 99850\n94149 100000\n98383 100000\n98470 100000\n98298 100000\n17994 27032\n7723 11601\n12729 19101\n6616 9952\n56905 85339\n86297 100000\n98056 100000\n82276 100000\n43386 65084\n58474 87713\n30543 45825\n69039 100000\n55337 82981\n70021 100000\n35451 53162\n43171 64753\n94222 100000\n90032 100000\n11558 17348\n74133 100000\n45170 67748\n95979 100000\n86193 100000\n21163 31807\n1665 2513\n9747 14627\n79594 100000\n99759 100000\n36086 54099\n16843 25319\n4333 6523\n96871 100000\n65055 97576\n83104 100000\n33062 49583\n16272 24464\n99227 100000\n32596 48892\n80855 100000\n12576 18870\n185 283\n8071 12115\n71611 100000\n25665 38494\n29554 44319\n69503 100000\n34256 51365\n13825 20782\n74786 100000\n94706 100000\n26054 39090\n72966 100000\n47419 71070\n83578 100000\n54745 82075\n93609 100000\n71807 100000\n72628 100000\n6856 10305\n6272 9443\n9866 14808\n76149 100000\n61123 91693\n43953 65925\n96129 100000\n92381 100000\n54449 81628\n45261 67887\n67224 100000\n51575 77291\n92343 100000\n78300 100000\n86711 100000\n88507 100000\n87904 100000\n6475 9742\n36432 54625\n2558 3855\n62412 93636\n20728 31155\n19596 29464\n68906 100000\n32971 49451\n43964 65942\n73770 100000\n15861 23847\n75502 100000\n83947 100000\n16460 24750\n24931 37408\n29128 43683\n56370 84545\n64815 97211\n12130 18206\n7430 11162\n13072 19628\n37148 55697\n3394 5124\n74321 100000\n59713 89590\n77133 100000\n96487 100000\n61841 92771\n31720 47598\n36761 55132\n85023 100000\n85581 100000\n83716 100000\n92778 100000\n69193 100000\n39943 59889\n61632 92448\n69666 100000\n88405 100000\n35918 53853\n1788 2694\n71906 100000\n79254 100000\n89209 100000\n40103 60130\n79627 100000\n61739 92608\n55646 83455\n92151 100000\n38934 58369\n38167 57236\n93112 100000\n19352 29094\n4528 6813\n43200 64791\n79353 100000\n24964 37459\n52487 78661\n12377 18575\n5407 8124\n86152 100000\n51401 77049\n79954 100000\n82178 100000\n94444 100000\n39759 59614\n87072 100000\n19301 29011\n84687 100000\n40048 60048\n17064 25637\n34188 51265\n37793 56673\n658 1002\n35779 53641\n72813 100000\n42149 63223\n62296 93453\n40694 61021\n57793 86677\n32539 48814\n65923 98897\n42037 63056\n77983 100000\n17005 25550\n42398 63593\n38514 57759\n46054 69062\n50054 75028\n97961 100000\n30819 46250\n31989 47998\n81701 100000\n59652 89495\n90887 100000\n36475 54691\n67392 100000\n77068 100000\n88598 100000\n8703 13058\n86676 100000\n5383 8094\n27416 41108\n12990 19502\n68373 100000\n78200 100000\n28297 42437\n21200 31863\n8346 12532\n78964 100000\n25298 37958\n92002 100000\n78969 100000\n35244 52854\n1971 2964\n34697 52037\n44854 67268\n67590 100000\n44939 67396\n15995 24050\n16150 24280\n9287 13933\n1200 1816\n72737 100000\n26217 39335\n82037 100000\n2058 3094\n18006 27053\n81935 100000\n22796 34209\n99828 100000\n85604 100000\n74675 100000\n33676 50498\n93051 100000\n11842 17774\n70265 100000\n33593 50373\n10226 15350\n54165 81186\n23351 35043\n7703 11572\n13195 19819\n76458 100000\n4635 6979\n91393 100000\n81618 100000\n58718 88070\n60658 90991\n66774 100000\n66009 99028\n38509 57753\n41899 62860\n5855 8805\n34872 52307\n64262 96384\n40965 61436\n87185 100000\n64425 96623\n35829 53717\n86224 100000\n3373 5092\n78466 100000\n47870 71732\n48879 73264\n98198 100000\n47601 71337\n62442 93679\n88040 100000\n17934 26945\n51084 76582\n91913 100000\n97456 100000\n41699 62548\n65845 98778\n1052 1589\n34635 51942\n7085 10653\n19241 28926\n7674 11534\n53753 80561\n27839 41755\n80733 100000\n36352 54509\n84720 100000\n39461 59163\n11097 16657\n54603 81855\n86762 100000\n60074 90134\n17418 26178\n34796 52189\n75530 100000\n72827 100000\n27492 41230\n23775 35672\n6181 9306\n61014 91534\n11542 17325\n58017 87010\n16981 25516\n35084 52618\n75128 100000\n13302 19973\n25307 37973\n8302 12462\n46425 69598\n71066 100000\n69126 100000\n35854 53756\n10593 15889\n95293 100000\n91606 100000\n81844 100000\n95084 100000\n44651 66965\n67778 100000\n28122 42170\n49077 73557\n75521 100000\n54429 81597\n82262 100000\n619 950\n10135 15214\n99240 100000\n57742 86601\n53378 80011\n87519 100000\n99423 100000\n14340 21563\n98700 100000\n96108 100000\n46261 69360\n45318 67973\n11887 17845\n51819 77664\n92777 100000\n55242 82839\n84548 100000\n37959 56919\n45481 68216\n16766 25204\n62078 93120\n45949 68900\n41460 62187\n3197 4822\n40038 60032\n2109 3164\n68291 100000\n582 894\n5689 8550\n90431 100000\n81307 100000\n35531 53276\n82946 100000\n33738 50590\n58801 88196\n79409 100000\n7665 11519\n67690 100000\n62477 93730\n61676 92517\n4836 7275\n35255 52870\n13147 19742\n85746 100000\n14814 22289\n34660 51980\n40728 61077\n23825 35746\n84826 100000\n52096 78082\n82375 100000\n68875 100000\n31328 47009\n5430 8161\n41818 62736\n60783 91184\n48040 71986\n22772 34175\n64527 96775\n69433 100000\n46383 69536\n25565 38347\n31810 47730\n43175 64758\n40819 61221\n51432 77091\n32762 49141\n41072 61601\n58859 88279\n87581 100000\n4878 7336\n6976 10488\n36643 54946\n97265 100000\n2921 4407\n10822 16234\n31159 46762\n46339 69475\n21012 31591\n65575 98364\n90909 100000\n76630 100000\n95446 100000\n89677 100000\n16296 24501\n39632 59428\n34066 51080\n47380 71021\n71086 100000\n495 759\n82859 100000\n90531 100000\n15671 23576\n78762 100000\n5078 7639\n40724 61070\n34495 51734\n11550 17336\n70953 100000\n83982 100000\n26072 39119\n73501 100000\n25327 38003\n18751 28197\n67837 100000\n38894 58313\n13169 19780\n66584 99887\n86406 100000\n76397 100000\n61680 92522\n80505 100000\n33357 50015\n59038 88550\n1517 2297\n48155 72162\n55520 83264\n4594 6917\n57305 85949\n920 1399\n25384 38086\n89700 100000\n76157 100000\n29977 44953\n59159 88735\n80861 100000\n62726 94102\n39564 59324\n19341 29078\n18624 27988\n72611 100000\n36076 54084\n52008 77948\n93081 100000\n68721 100000\n86085 100000\n7895 11861\n80458 100000\n8767 13154\n13485 20258\n47100 70599\n90872 100000\n93674 100000\n27449 41162\n80884 100000\n55291 82916\n30086 45115\n70481 100000\n3820 5751\n62881 94335\n92756 100000\n2057 3092\n16788 25236\n8188 12294\n45341 68007\n78312 100000\n11987 17992\n67502 100000\n85188 100000\n53692 80469\n47570 71288\n32519 48786\n26720 40073\n22532 33817\n13524 20321\n17481 26269\n9141 13701\n1481 2242\n79215 100000\n47869 71730\n82811 100000\n90776 100000\n32071 48122\n13740 20654\n59461 89194\n10201 15312\n62877 94330\n90376 100000\n78055 100000\n2281 3431\n90394 100000\n92158 100000\n10289 15446\n38348 57504\n68297 100000\n45727 68580\n36267 54375\n9143 13705\n86178 100000\n82812 100000\n40825 61230\n55212 82798\n79950 100000\n35904 53832\n88753 100000\n33660 50475\n75901 100000\n14378 21616\n29256 43877\n77980 100000\n80667 100000\n99817 100000\n72525 100000\n85362 100000\n84528 100000\n10464 15705\n4160 6262\n77484 100000\n4101 6171\n17632 26490\n74402 100000\n21882 32874\n89427 100000\n14908 22426\n69188 100000\n88546 100000\n67574 100000\n33233 49835\n31157 46758\n77719 100000\n51677 77445\n41259 61886\n93583 100000\n46464 69654\n38328 57476\n37226 55816\n14533 21850\n93287 100000\n87842 100000\n19862 29863\n34161 51226\n55143 82695\n46360 69503\n94825 100000\n87537 100000\n57425 86130\n28726 43086\n14580 21919\n95838 100000\n28487 42729\n77941 100000\n49670 74458\n66597 99907\n15911 23925\n17924 26931\n49435 74090\n52608 78845\n64677 97006\n82583 100000\n77096 100000\n66073 99129\n48582 72813\n32175 48270\n27796 41687\n56318 84470\n3783 5700\n22365 33569\n1450 2193\n73736 100000\n38968 58417\n64295 96432\n46800 70149\n75612 100000\n92692 100000\n57475 86206\n75566 100000\n87307 100000\n70848 100000\n85666 100000\n80475 100000\n88031 100000\n63852 95753\n90178 100000\n6617 9953\n4424 6661\n98970 100000\n54962 82403\n16585 24938\n65788 98692\n7403 11123\n80886 100000\n75517 100000\n91992 100000\n39677 59496\n54123 81121\n14283 21474\n28656 42980\n24171 36273\n7925 11909\n20246 30438\n11044 16573\n26512 39772\n61713 92567\n46253 69350\n77496 100000\n87554 100000\n45050 67566\n6647 10000\n95099 100000\n94491 100000\n882 1339\n26757 40127\n13418 20155\n15560 23414\n54322 81419\n60095 90169\n59092 88629\n8513 12770\n16965 25495\n75872 100000\n59696 89563\n57734 86589\n33579 50355\n33321 49965\n8162 12255\n46858 70234\n36363 54526\n85279 100000\n31591 47401\n24178 36283\n88860 100000\n29363 44049\n76136 100000\n96588 100000\n81047 100000\n61943 92926\n36799 55193\n95885 100000\n73645 100000\n61152 91735\n89500 100000\n46032 69027\n84552 100000\n59311 88962\n2742 4134\n59002 88495\n99607 100000\n47291 70889\n78945 100000\n57929 86876\n77935 100000\n40223 60316\n22561 33866\n34342 51494\n84142 100000\n85925 100000\n76353 100000\n85019 100000\n45308 67960\n88504 100000\n84959 100000\n87637 100000\n23684 35534\n18168 27297\n25837 38765\n98549 100000\n58387 87583\n70382 100000\n32016 48037\n43083 64613\n71989 100000\n66448 99690\n43067 64589\n36062 54062\n40755 61119\n19938 29977\n33706 50540\n94662 100000\n89722 100000\n66565 99857\n80774 100000\n82743 100000\n46930 70343\n614 941\n4472 6731\n10356 15541\n94541 100000\n41661 62490\n96442 100000\n54155 81169\n36307 54437\n24342 36532\n39231 58813\n4512 6789\n47488 71166\n56686 85019\n15067 22674\n70719 100000\n10087 15140\n51863 77727\n58436 87659\n58441 87666\n65371 98061\n47492 71173\n4537 6827\n53494 80180\n1248 1891\n82609 100000\n97136 100000\n43579 65370\n85979 100000\n12909 19374\n45541 68308\n79009 100000\n9739 14613\n34977 52461\n542 832\n62541 93828\n16864 25351\n27346 40993\n73489 100000\n26051 39085\n51011 76472\n58975 88456\n40143 60194\n41479 62216\n8673 13014\n40311 60446\n71425 100000\n34998 52492\n58915 88362\n92016 100000\n3141 4736\n68027 100000\n84753 100000\n4409 6638\n35205 52796\n87141 100000\n34572 51850\n97660 100000\n80982 100000\n95698 100000\n56256 84376\n40951 61416\n84371 100000\n82446 100000\n40880 61308\n71890 100000\n85818 100000\n22122 33224\n35106 52649\n67592 100000\n97409 100000\n8029 12053\n48844 73212\n92315 100000\n44630 66936\n97040 100000\n71314 100000\n8973 13460\n15947 23977\n63143 94720\n65708 98566\n42784 64167\n26359 39547\n69518 100000\n42994 64481\n32869 49299\n33236 49840\n52444 78599\n23385 35094\n49719 74531\n56788 85166\n92977 100000\n32592 48885\n4008 6021\n20859 31352\n84636 100000\n15059 22661\n53241 79803\n15426 23214\n8804 13210\n86195 100000\n94658 100000\n49097 73589\n6305 9497\n34280 51399\n72574 100000\n55410 83090\n41874 62822\n56165 84233\n7102 10679\n34909 52363\n12911 19378\n57986 86963\n82740 100000\n27512 41257\n98635 100000\n42529 63790\n1075 1623\n76325 100000\n67824 100000\n89341 100000\n3908 5884\n99905 100000\n15032 22613\n89855 100000\n30632 45965\n59156 88730\n55526 83272\n31272 46926\n39907 59833\n40033 60025\n17062 25633\n82991 100000\n71665 100000\n21823 32787\n24524 36796\n91416 100000\n81305 100000\n97608 100000\n74192 100000\n74801 100000\n12006 18020\n21306 32026\n1309 1983\n29993 44976\n23013 34527\n15675 23581\n5817 8744\n78933 100000\n29879 44807\n1939 2915\n69904 100000\n58838 88248\n59270 88903\n36207 54280\n33671 50490\n61828 92746\n12590 18890\n91700 100000\n28434 42644\n40892 61325\n24984 37491\n22214 33358\n94966 100000\n69860 100000\n52969 79385\n18415 27665\n65521 98282\n30774 46184\n20024 30105\n22051 33117\n32646 48966\n50180 75219\n11926 17902\n73244 100000\n92883 100000\n49444 74106\n85309 100000\n28284 42416\n305 469\n99314 100000\n81407 100000\n91706 100000\n17053 25618\n80537 100000\n23630 35452\n51485 77163\n7050 10599\n87663 100000\n67964 100000\n28452 42671\n47065 70548\n15924 23944\n85076 100000\n84876 100000\n12161 18255\n80163 100000\n18407 27654\n84014 100000\n6255 9419\n17541 26359\n90055 100000\n50546 75774\n64747 97109\n5773 8674\n3258 4913\n55372 83036\n57908 86844\n96008 100000\n76788 100000\n52847 79207\n11120 16693\n79785 100000\n99639 100000\n70137 100000\n52472 78638\n131 202\n17247 25924\n89024 100000\n67420 100000\n26985 40451\n8398 12606\n22725 34107\n6249 9410\n48766 73091\n44764 67136\n10525 15787\n56591 84880\n55591 83370\n38654 57961\n25010 37530\n20903 31424\n35907 53837\n74396 100000\n79452 100000\n45957 68910\n49541 74259\n22573 33883\n38536 57792\n25957 38944\n75428 100000\n79918 100000\n45455 68171\n56813 85204\n5229 7864\n67156 100000\n94387 100000\n24185 36294\n96582 100000\n80702 100000\n37733 56579\n46093 69117\n38811 58193\n35045 52560\n60789 91193\n64786 97166\n21216 31887\n45523 68276\n83126 100000\n42879 64308\n90322 100000\n68125 100000\n48206 72234\n84037 100000\n87639 100000\n93780 100000\n1424 2155\n89899 100000\n78751 100000\n95332 100000\n5449 8192\n78593 100000\n28925 43388\n36967 55429\n61128 91701\n18826 28311\n7092 10665\n77683 100000\n63648 95450\n86157 100000\n68410 100000\n19303 29015\n76847 100000\n16125 24243\n66054 99100\n42697 64033\n26385 39583\n80783 100000\n2361 3550\n82377 100000\n7471 11226\n68786 100000\n86416 100000\n20830 31314\n142 219\n54755 82090\n33760 50625\n74320 100000\n22926 34403\n74735 100000\n61878 92829\n17849 26820\n25897 38854\n9363 14047\n88118 100000\n718 1093\n35513 53248\n25244 37883\n18191 27331\n31917 47885\n74691 100000\n10504 15761\n55808 83698\n79420 100000\n80206 100000\n94752 100000\n10388 15588\n15099 22722\n23451 35192\n3396 5127\n32924 49383\n5260 7907\n92289 100000\n14882 22386\n13441 20194\n57496 86238\n18991 28558\n86567 100000\n94968 100000\n69891 100000\n52815 79155\n11848 17785\n31022 46562\n73130 100000\n51730 77526\n89939 100000\n13661 20531\n32232 48358\n37809 56696\n27102 40630\n94732 100000\n53093 79574\n34187 51263\n74259 100000\n87733 100000\n93918 100000\n8569 12858\n65569 98355\n24333 36519\n32227 48349\n49216 73767\n36392 54570\n89785 100000\n56145 84203\n52817 79158\n10338 15515\n28140 42199\n5536 8319\n56395 84588\n69628 100000\n94869 100000\n11868 17814\n68555 100000\n13435 20185\n95258 100000\n65544 98319\n49486 74169\n83992 100000\n36692 55017\n9681 14525\n45320 67976\n12418 18635\n98305 100000\n89320 100000\n38777 58146\n3691 5558\n91196 100000\n2464 3711\n66121 99202\n81978 100000\n11733 17609\n4571 6883\n91360 100000\n99543 100000\n15297 23020\n80083 100000\n18364 27589\n99022 100000\n62183 93278\n12239 18374\n77483 100000\n72616 100000\n76653 100000\n71544 100000\n72919 100000\n37853 56757\n19745 29687\n58812 88212\n78419 100000\n43406 65112\n56707 85048\n55020 82502\n10385 15583\n50520 75737\n54007 80946\n89378 100000\n83318 100000\n84416 100000\n35236 52840\n45172 67752\n28041 42053\n81070 100000\n17840 26808\n33925 50874\n91031 100000\n87735 100000\n90866 100000\n96937 100000\n98959 100000\n88875 100000\n2880 4346\n84387 100000\n7641 11482\n59941 89934\n1919 2886\n6709 10093\n11481 17234\n26220 39339\n25487 38237\n132 204\n36790 55178\n18549 27874\n49804 74668\n35659 53463\n96222 100000\n22007 33054\n31826 47754\n13255 19906\n24600 36905\n19296 29005\n80757 100000\n96474 100000\n77292 100000\n43402 65106\n74716 100000\n83164 100000\n42585 63873\n13133 19718\n68202 100000\n79305 100000\n54604 81856\n22533 33819\n16525 24848\n40191 60268\n89545 100000\n34127 51171\n1105 1668\n67349 100000\n67806 100000\n69076 100000\n25070 37626\n29880 44809\n59872 89832\n22940 34423\n28964 43448\n58615 87915\n61266 91903\n35425 53122\n53580 80303\n26271 39414\n10801 16200\n33859 50778\n23185 34796\n84639 100000\n47453 71119\n78414 100000\n39229 58809\n61327 91999\n84768 100000\n28642 42959\n51900 77782\n79970 100000\n85244 100000\n44289 66424\n86079 100000\n93989 100000\n9845 14773\n49590 74331\n61090 91645\n58831 88237\n91325 100000\n22080 33159\n8199 12312\n47933 71830\n86385 100000\n6414 9667\n73866 100000\n28217 42315\n63549 95302\n1513 2291\n23226 34857\n46748 70075\n59628 89457\n54386 81528\n68974 100000\n51018 76483\n76403 100000\n70663 100000\n43701 65552\n96235 100000\n56641 84953\n91384 100000\n32486 48738\n70932 100000\n93861 100000\n77400 100000\n58273 87403\n31154 46754\n62602 93920\n2593 3910\n56977 85452\n25032 37562\n12938 19420\n77312 100000\n47532 71230\n9411 14117\n68265 100000\n14638 22015\n5012 7536\n16519 24839\n99933 100000\n43749 65623\n63655 95459\n88664 100000\n26748 40112\n12222 18352\n3427 5173\n83115 100000\n89284 100000\n19175 28831\n89604 100000\n40355 60510\n13086 19650\n47370 71006\n41204 61799\n14292 21488\n53104 79589\n23875 35822\n91191 100000\n40121 60159\n77580 100000\n90388 100000\n390 599\n45073 67604\n81691 100000\n64027 96022\n6899 10370\n43005 64498\n82393 100000\n69980 100000\n73641 100000\n20745 31177\n49130 73638\n54384 81524\n66768 100000\n42282 63423\n73870 100000\n55498 83230\n67328 100000\n52206 78242\n46133 69177\n74349 100000\n57512 86259\n59730 89618\n10061 15100\n68594 100000\n58539 87806\n10124 15197\n89013 100000\n58626 87932\n93495 100000\n30025 45024\n64449 96660\n59114 88662\n22420 33654\n60922 91398\n93115 100000\n48032 71976\n12622 18938\n36717 55058\n35702 53527\n84770 100000\n82984 100000\n13492 20270\n32133 48214\n95114 100000\n65694 98545\n29291 43930\n58668 87994\n67856 100000\n95444 100000\n91475 100000\n3674 5534\n65936 98918\n13615 20462\n20044 30135\n90389 100000\n91050 100000\n43306 64959\n14227 21393\n37899 56825\n4929 7415\n581 893\n14167 21303\n23982 35995\n50096 75087\n82487 100000\n13728 20635\n32650 48973\n50296 75398\n42566 63844\n60831 91255\n80941 100000\n49264 73832\n88742 100000\n97513 100000\n40620 60913\n13952 20978\n83978 100000\n95485 100000\n4000 6010\n79415 100000\n63454 95166\n44475 66696\n39112 58627\n20764 31209\n62999 94508\n16687 25092\n64198 96285\n44659 66975\n7652 11500\n82257 100000\n84914 100000\n96983 100000\n6807 10231\n69066 100000\n18065 27142\n5069 7623\n24811 37229\n82136 100000\n46154 69206\n69480 100000\n40573 60846\n92097 100000\n2067 3106\n81698 100000\n72296 100000\n50945 76374\n33507 50243\n61772 92660\n73507 100000\n98960 100000\n78381 100000\n35129 52686\n18043 27109\n83751 100000\n16860 25345\n90192 100000\n66085 99146\n60674 91018\n6948 10443\n49582 74320\n90471 100000\n682 1042\n27509 41254\n33675 50496\n80265 100000\n79731 100000\n7065 10623\n36158 54205\n24956 37446\n36567 54825\n66721 100000\n96920 100000\n60240 90370\n45901 68834\n27586 41365\n97376 100000\n56508 84752\n41894 62852\n43187 64773\n82249 100000\n13729 20637\n751 1146\n51173 76717\n58312 87468\n76218 100000\n57768 86638\n3967 5964\n20614 30978\n77433 100000\n97925 100000\n58658 87979\n534 819\n94359 100000\n72247 100000\n95476 100000\n6211 9352\n74761 100000\n18103 27195\n12931 19408\n20034 30121\n84108 100000\n94452 100000\n36515 54748\n84373 100000\n97223 100000\n48369 72482\n67516 100000\n42459 63684\n85320 100000\n10149 15234\n39008 58478\n45056 67575\n58136 87196\n61569 92356\n51057 76541\n27710 41551\n13777 20710\n90308 100000\n31048 46601\n54723 82039\n75238 100000\n23829 35752\n868 1318\n95953 100000\n38771 58138\n64107 96145\n9877 14825\n40733 61084\n94850 100000\n71811 100000\n48424 72567\n53502 80192\n51986 77917\n59404 89098\n14189 21337\n4332 6521\n56966 85435\n34482 51714\n44989 67465\n22593 33912\n71322 100000\n53647 80405\n75140 100000\n63987 95953\n7237 10881\n65411 98121\n17013 25562\n70800 100000\n84467 100000\n11686 17544\n79364 100000\n36545 54791\n74034 100000\n35981 53944\n52996 79425\n80738 100000\n14985 22542\n54401 81549\n9882 14832\n48007 71941\n30280 45411\n19005 28578\n66889 100000\n651 994\n63011 94527\n98646 100000\n32291 48443\n60928 91406\n32916 49371\n72150 100000\n35687 53506\n82080 100000\n31738 47626\n30266 45390\n28712 43063\n81927 100000\n45707 68548\n66116 99196\n8448 12679\n35875 53787\n39720 59559\n44222 66323\n66145 99237\n35717 53548\n75020 100000\n75108 100000\n93156 100000\n63168 94753\n56965 85433\n62529 93813\n36788 55175\n50959 76395\n85909 100000\n92249 100000\n5719 8593\n89752 100000\n46474 69669\n22923 34398\n36664 54979\n10086 15138\n48527 72727\n76168 100000\n16845 25322\n89056 100000\n39108 58622\n95929 100000\n15084 22699\n31804 47721\n77268 100000\n77054 100000\n84874 100000\n57097 85627\n69617 100000\n65362 98047\n86005 100000\n642 981\n54192 81222\n70934 100000\n56540 84801\n19460 29259\n69936 100000\n99800 100000\n61565 92350\n47381 71022\n93907 100000\n53116 79605\n93079 100000\n24634 36956\n11996 18005\n65877 98829\n50498 75707\n87322 100000\n7803 11719\n2740 4132\n71688 100000\n99231 100000\n53313 79920\n32174 48268\n42733 64090\n82413 100000\n28045 42059\n13178 19792\n41736 62606\n42129 63191\n42892 64328\n4904 7374\n21724 32633\n13350 20050\n77214 100000\n89275 100000\n6740 10136\n37604 56386\n53570 80289\n32469 48711\n51875 77749\n48444 72598\n77188 100000\n15740 23677\n12392 18598\n80509 100000\n6776 10188\n96768 100000\n27752 41620\n42736 64096\n6768 10177\n39070 58568\n70284 100000\n68512 100000\n40344 60493\n18904 28427\n19823 29804\n77033 100000\n2326 3500\n12655 18993\n28904 43355\n75356 100000\n59397 89088\n32142 48225\n22155 33272\n66666 100000\n3540 5334\n27173 40738\n69367 100000\n32862 49288\n21430 32212\n17296 26002\n27357 41012\n54719 82033\n55086 82602\n72078 100000\n71327 100000\n56178 84250\n86381 100000\n56581 84864\n1488 2252\n99742 100000\n15097 22719\n27313 40946\n86618 100000\n21651 32526\n28848 43274\n50234 75301\n11669 17516\n41967 62956\n40109 60140\n75137 100000\n21671 32554\n152 231\n35250 52862\n18140 27250\n30854 46302\n27977 41961\n57044 85551\n95158 100000\n56030 84029\n685 1046\n2474 3724\n80195 100000\n10718 16074\n1858 2797\n46246 69339\n99095 100000\n4715 7096\n43691 65534\n2883 4350\n87955 100000\n54201 81235\n24289 36450\n96122 100000\n97566 100000\n13758 20679\n77387 100000\n77836 100000\n84412 100000\n57841 86741\n28410 42605\n314 481\n5452 8196\n65553 98334\n28987 43482\n43514 65274\n35838 53728\n54746 82076\n53875 80745\n63794 95661\n25615 38419\n28551 42819\n35157 52728\n33942 50897\n36848 55256\n88471 100000\n21444 32233\n35950 53898\n43657 65484\n86339 100000\n96548 100000\n70982 100000\n26593 39894\n47028 70493\n68489 100000\n6914 10390\n61946 92932\n23799 35706\n98729 100000\n70445 100000\n40570 60841\n33748 50606\n51314 76920\n43442 65169\n630 964\n87982 100000\n5649 8492\n22812 34234\n68361 100000\n7151 10756\n53708 80494\n89262 100000\n76212 100000\n39557 59314\n36771 55147\n34749 52119\n98857 100000\n41880 62831\n34229 51324\n60634 90956\n52820 79162\n60873 91320\n92 143\n47259 70841\n68916 100000\n35483 53207\n11847 17783\n71903 100000\n33803 50696\n69648 100000\n90328 100000\n20119 30244\n44251 66366\n64232 96338\n93261 100000\n8117 12189\n86592 100000\n64639 96948\n92266 100000\n30373 45554\n40774 61153\n48525 72723\n78765 100000\n12115 18183\n9417 14124\n23557 35346\n66312 99487\n35404 53090\n60509 90773\n79110 100000\n54127 81127\n30439 45664\n11745 17629\n12205 18327\n21952 32974\n7655 11505\n32981 49464\n23595 35404\n51529 77225\n84101 100000\n55944 83898\n84234 100000\n75974 100000\n28988 43483\n75181 100000\n78455 100000\n68506 100000\n61 93\n42002 63003\n34925 52385\n99226 100000\n11331 17009\n7845 11784\n88738 100000\n65073 97604\n64105 96141\n2756 4156\n20504 30816\n15789 23745\n96403 100000\n62426 93656\n43183 64768\n32256 48395\n52437 78588\n44616 66912\n59204 88800\n79554 100000\n12246 18384\n88510 100000\n42364 63542\n65703 98560\n65353 98033\n53027 79475\n20375 30631\n68693 100000\n32186 48285\n22312 33497\n65074 97605\n86769 100000\n65976 98975\n69478 100000\n63183 94776\n93128 100000\n24042 36079\n45023 67521\n18613 27973\n40630 60929\n55860 83769\n52467 78632\n54751 82084\n84615 100000\n79702 100000\n55528 83276\n78054 100000\n98460 100000\n74458 100000\n69842 100000\n46922 70329\n87796 100000\n16225 24394\n49206 73752\n33753 50614\n28403 42595\n99411 100000\n69200 100000\n48898 73295\n202 310\n93231 100000\n81862 100000\n17084 25667\n78943 100000\n20096 30207\n37577 56341\n85338 100000\n40452 60658\n20855 31346\n26092 39148\n94361 100000\n57626 86430\n78523 100000\n20063 30161\n71280 100000\n76584 100000\n48837 73200\n65794 98702\n41500 62248\n31189 46811\n96096 100000\n20110 30231\n86239 100000\n19597 29466\n89177 100000\n98450 100000\n34294 51421\n69324 100000\n80500 100000\n56619 84917\n90994 100000\n18778 28236\n5761 8653\n22836 34267\n80949 100000\n76774 100000\n97643 100000\n32259 48400\n23755 35641\n95264 100000\n12708 19068\n38931 58364\n93107 100000\n40402 60583\n50494 75701\n86131 100000\n89589 100000\n51152 76686\n14345 21570\n84003 100000\n90666 100000\n3684 5549\n24515 36783\n86770 100000\n40576 60850\n96191 100000\n55034 82525\n5562 8360\n59562 89351\n10787 16177\n13874 20859\n57994 86974\n76908 100000\n78978 100000\n15370 23128\n32395 48604\n16215 24381\n93048 100000\n11233 16855\n88305 100000\n48119 72106\n87808 100000\n6321 9522\n50953 76387\n90738 100000\n49320 73920\n92542 100000\n43586 65380\n19187 28846\n4278 6439\n71858 100000\n63249 94869\n70353 100000\n44132 66192\n96183 100000\n81566 100000\n63121 94691\n60326 90506\n52744 79049\n89827 100000\n57762 86630\n13078 19639\n91477 100000\n21738 32655\n41240 61854\n45828 68724\n56004 83991\n99593 100000\n67931 100000\n66384 99593\n58702 88045\n85136 100000\n63441 95145\n86086 100000\n21098 31715\n52200 78231\n31527 47302\n70726 100000\n35573 53337\n10523 15784\n41623 62430\n34125 51168\n85874 100000\n1957 2944\n7525 11312\n42021 63031\n61688 92533\n42392 63583\n98344 100000\n8567 12854\n29090 43626\n12924 19396\n71805 100000\n32977 49458\n72591 100000\n56187 84265\n22132 33240\n83338 100000\n23610 35424\n93923 100000\n39885 59801\n36006 53981\n31034 46582\n5145 7740\n32446 48679\n66412 99633\n5525 8301\n21114 31738\n37349 55998\n9421 14129\n16357 24592\n98709 100000\n60949 91437\n45331 67993\n45754 68616\n37830 56724\n46128 69168\n62114 93168\n4548 6844\n39114 58629\n39692 59520\n75255 100000\n68299 100000\n41108 61651\n83387 100000\n18463 27736\n55511 83249\n17581 26417\n44055 66074\n75135 100000\n59210 88809\n74789 100000\n53917 80813\n24495 36754\n48546 72758\n71869 100000\n44511 66757\n22016 33066\n30394 45588\n20553 30880\n79677 100000\n75071 100000\n94022 100000\n74521 100000\n1026 1550\n52126 78123\n18207 27355\n18244 27411\n35692 53513\n4137 6224\n10764 16142\n68401 100000\n28541 42803\n40963 61432\n77757 100000\n15618 23499\n15438 23233\n61392 92096\n94698 100000\n8868 13305\n56972 85444\n24765 37157\n88794 100000\n5522 8298\n69923 100000\n14532 21848\n54625 81885\n83014 100000\n8125 12201\n55107 82638\n21288 31996\n2424 3645\n89675 100000\n99485 100000\n57398 86093\n74765 100000\n30130 45184\n39450 59148\n67951 100000\n54312 81407\n43349 65027\n42197 63299\n93971 100000\n90561 100000\n27917 41869\n6232 9384\n87722 100000\n42811 64210\n2659 4005\n46743 70068\n63235 94850\n34095 51121\n4099 6168\n61988 92993\n74373 100000\n63251 94873\n66564 99856\n99343 100000\n60469 90721\n5435 8168\n71896 100000\n9187 13773\n49116 73620\n2926 4415\n62951 94434\n19066 28666\n17683 26568\n86293 100000\n20866 31362\n34145 51200\n34407 51598\n24572 36865\n52713 79002\n27317 40951\n46963 70394\n56998 85484\n54775 82120\n48850 73220\n83719 100000\n22165 33288\n48467 72632\n8473 12716\n11763 17656\n48038 71983\n93333 100000\n13589 20420\n90823 100000\n43348 65025\n11251 16884\n515 791\n39592 59367\n30315 45460\n39806 59684\n30390 45582\n41902 62863\n41170 61749\n16913 25419\n98113 100000\n46820 70179\n78002 100000\n39544 59293\n76749 100000\n46802 70152\n15746 23685\n46794 70142\n48921 73326\n54320 81417\n64192 96276\n71731 100000\n24932 37410\n6423 9678\n21730 32644\n41773 62666\n64672 96997\n34646 51960\n99362 100000\n96026 100000\n85546 100000\n27993 41980\n54224 81270\n27823 41728\n46726 70040\n53335 79951\n66115 99194\n94018 100000\n48033 71977\n76758 100000\n81027 100000\n62956 94442\n62465 93714\n45346 68014\n86374 100000\n29912 44854\n38798 58178\n21888 32881\n3544 5340\n29550 44314\n92870 100000\n3730 5620\n5917 8894\n27530 41283\n94405 100000\n31415 47136\n80675 100000\n12621 18937\n17514 26316\n87915 100000\n34273 51390\n62989 94493\n73675 100000\n5513 8282\n78535 100000\n53943 80853\n52719 79011\n96468 100000\n80827 100000\n1393 2106\n39580 59351\n76765 100000\n87703 100000\n19157 28805\n74066 100000\n99826 100000\n76620 100000\n221 338\n16797 25248\n97309 100000\n98779 100000\n61556 92336\n42546 63813\n45769 68636\n40348 60499\n78500 100000\n10102 15162\n42774 64153\n3433 5182\n73990 100000\n69497 100000\n43630 65443\n56049 84059\n83191 100000\n4461 6715\n28391 42579\n75089 100000\n3611 5437\n8296 12452\n47817 71656\n97269 100000\n59220 88824\n10768 16149\n96781 100000\n22594 33914\n24829 37257\n61611 92417\n7143 10744\n3162 4772\n46139 69186\n10259 15403\n30680 46038\n28581 42864\n19555 29402\n48113 72098\n97377 100000\n13170 19781\n83168 100000\n22443 33685\n38279 57408\n28984 43478\n72601 100000\n3193 4817\n38820 58205\n20513 30826\n95393 100000\n58485 87727\n54833 82212\n61234 91857\n15428 23216\n69776 100000\n92877 100000\n45675 68503\n44322 66473\n35342 52993\n25745 38621\n2011 3025\n80902 100000\n53448 80113\n3887 5850\n62740 94121\n72401 100000\n29841 44749\n69881 100000\n47494 71175\n76068 100000\n25576 38363\n57714 86561\n90126 100000\n22092 33179\n34935 52401\n4825 7260\n62622 93948\n52191 78220\n17830 26794\n47509 71196\n69427 100000\n16640 25021\n38354 57514\n21543 32376\n70999 100000\n24826 37252\n25252 37895\n46976 70411\n10339 15517\n85352 100000\n3352 5059\n68648 100000\n63447 95153\n13697 20589\n92060 100000\n30594 45903\n52960 79374\n47728 71531\n61080 91629\n87889 100000\n70432 100000\n97892 100000\n75729 100000\n47210 70767\n98075 100000\n53450 80116\n92162 100000\n65121 97671\n17363 26099\n70383 100000\n78142 100000\n31009 46543\n71835 100000\n60717 91079\n73994 100000\n69397 100000\n62945 94426\n46830 70192\n60055 90106\n248 382\n65604 98408\n57571 86346\n86894 100000\n35518 53257\n92698 100000\n20004 30078\n88921 100000\n1530 2315\n80085 100000\n21312 32034\n45632 68439\n14412 21667\n63301 94942\n50247 75323\n28915 43373\n20636 31013\n88039 100000\n60143 90239\n92472 100000\n24741 37120\n87864 100000\n52821 79163\n78875 100000\n79681 100000\n19000 28570\n6063 9122\n47799 71634\n566 866\n43372 65061\n84301 100000\n44066 66089\n64030 96027\n79772 100000\n16457 24746\n1474 2231\n27798 41691\n7984 11991\n45386 68075\n58153 87221\n21115 31740\n95688 100000\n29432 44143\n13576 20398\n48943 73361\n36667 54983\n95655 100000\n78412 100000\n23770 35665\n73233 100000\n25114 37692\n12037 18069\n8853 13285\n13669 20542\n36219 54299\n46129 69170\n45660 68481\n82981 100000\n54400 81548\n48107 72089\n78139 100000\n91210 100000\n81297 100000\n29436 44148\n77817 100000\n17520 26325\n28087 42123\n75214 100000\n88848 100000\n24235 36365\n48329 72420\n87017 100000\n78539 100000\n52893 79273\n80299 100000\n48536 72743\n94844 100000\n87975 100000\n70944 100000\n76190 100000\n27834 41745\n87167 100000\n71825 100000\n9723 14589\n43116 64668\n10028 15050\n46933 70349\n31366 47063\n55731 83583\n2752 4149\n97585 100000\n91626 100000\n14559 21888\n61756 92634\n98349 100000\n39562 59321\n76255 100000\n68508 100000\n63176 94766\n45266 67894\n61002 91515\n41181 61763\n82315 100000\n85450 100000\n72312 100000\n92568 100000\n3105 4683\n78891 100000\n64446 96655\n21111 31733\n55565 83334\n66728 100000\n357 551\n15447 23247\n38435 57637\n37206 55785\n11614 17430\n4642 6988\n12216 18343\n64806 97198\n88470 100000\n69677 100000\n22960 34455\n15346 23092\n44199 66288\n47749 71559\n32217 48332\n17400 26154\n97799 100000\n19370 29124\n75252 100000\n98108 100000\n31825 47752\n3965 5962\n69647 100000\n33919 50864\n48744 73064\n93013 100000\n788 1198\n13210 19843\n61966 92963\n33862 50784\n75786 100000\n77485 100000\n33340 49992\n98171 100000\n99804 100000\n50894 76301\n46671 69961\n65889 98849\n20670 31062\n21165 31810\n96772 100000\n78439 100000\n38972 58423\n98934 100000\n9306 13964\n68175 100000\n4035 6061\n37080 55597\n38829 58217\n53907 80798\n97365 100000\n12005 18019\n64054 96066\n21593 32450\n91096 100000\n77377 100000\n79378 100000\n67331 100000\n72749 100000\n3899 5867\n66606 99922\n28794 43189\n39866 59773\n91760 100000\n28954 43434\n7856 11801\n9962 14955\n42667 63988\n93219 100000\n86673 100000\n99249 100000\n21733 32649\n92823 100000\n44996 67478\n25427 38151\n9591 14390\n16456 24744\n96806 100000\n16284 24481\n6665 10024\n19827 29809\n32514 48779\n80619 100000\n6184 9311\n23809 35722\n85004 100000\n39091 58597\n21715 32620\n23049 34590\n39621 59410\n57826 86724\n1336 2026\n39919 59850\n83391 100000\n86686 100000\n24196 36309\n51226 76798\n76887 100000\n50531 75752\n20765 31211\n87270 100000\n55053 82554\n15692 23607\n19318 29040\n94739 100000\n28963 43446\n69182 100000\n24328 36511\n9669 14507\n11676 17527\n58239 87350\n84920 100000\n2673 4026\n60950 91439\n14736 22172\n74788 100000\n28689 43028\n94486 100000\n96154 100000\n7141 10740\n3918 5900\n95635 100000\n53325 79937\n97808 100000\n93359 100000\n65257 97877\n1650 2489\n80354 100000\n97891 100000\n99699 100000\n19372 29127\n38955 58398\n65403 98107\n70560 100000\n48709 73009\n44814 67206\n12997 19513\n41250 61871\n91690 100000\n53456 80126\n4277 6437\n40681 61001\n62292 93447\n81479 100000\n75079 100000\n75528 100000\n6225 9374\n30255 45373\n82748 100000\n34365 51535\n20760 31203\n17553 26376\n36072 54078\n96802 100000\n85056 100000\n46871 70253\n23897 35858\n11716 17589\n15366 23123\n35242 52851\n16896 25393\n3610 5435\n58912 88359\n38799 58180\n56868 85283\n75122 100000\n3469 5234\n41452 62174\n17103 25694\n9012 13513\n16646 25031\n3372 5090\n57359 86033\n71971 100000\n38606 57891\n58536 87803\n73531 100000\n38244 57349\n42052 63077\n95614 100000\n80885 100000\n41721 62582\n38868 58278\n77595 100000\n95013 100000\n82065 100000\n29213 43808\n74589 100000\n46721 70032\n4143 6233\n16317 24535\n48777 73109\n21149 31787\n45640 68451\n22274 33436\n38055 57066\n97720 100000\n35870 53781\n85107 100000\n99346 100000\n88656 100000\n39767 59628\n91043 100000\n52388 78512\n1900 2860\n14539 21860\n68635 100000\n52834 79186\n95749 100000\n1355 2053\n50513 75727\n23380 35087\n37462 56170\n27645 41453\n94955 100000\n51462 77131\n42118 63173\n69589 100000\n98903 100000\n43013 64508\n50720 76038\n70614 100000\n39790 59661\n10579 15866\n3217 4855\n12113 18180\n65819 98738\n88065 100000\n29272 43901\n19529 29362\n49894 74797\n33867 50792\n73477 100000\n13146 19741\n77404 100000\n28863 43295\n97527 100000\n20170 30322\n89620 100000\n13293 19958\n5410 8129\n55629 83430\n26311 39476\n68387 100000\n18204 27351\n54457 81642\n54022 80967\n73402 100000\n18748 28191\n53204 79747\n95619 100000\n46150 69202\n11806 17723\n83951 100000\n72839 100000\n68659 100000\n44126 66181\n48756 73080\n65145 97709\n49554 74278\n44404 66595\n32638 48955\n5791 8702\n8485 12731\n73789 100000\n58918 88368\n84250 100000\n59521 89292\n478 731\n6026 9058\n21447 32237\n80845 100000\n47730 71533\n86999 100000\n59392 89082\n69023 100000\n85813 100000\n20704 31118\n21945 32965\n26433 39656\n76768 100000\n99000 100000\n39208 58776\n63211 94812\n76654 100000\n92996 100000\n1346 2040\n6782 10197\n61593 92390\n44738 67098\n45801 68683\n9733 14605\n71448 100000\n94645 100000\n51628 77369\n79786 100000\n17353 26085\n69022 100000\n66636 99964\n79087 100000\n67117 100000\n98225 100000\n63856 95760\n94282 100000\n52319 78410\n88220 100000\n52942 79347\n76065 100000\n61577 92366\n85240 100000\n11224 16841\n34555 51821\n19462 29262\n23750 35633\n69439 100000\n79691 100000\n71515 100000\n97354 100000\n56598 84890\n91 142\n1369 2073\n5297 7965\n72990 100000\n417 639\n46061 69074\n91445 100000\n75863 100000\n93738 100000\n96396 100000\n86589 100000\n41989 62986\n86469 100000\n54932 82359\n84954 100000\n78443 100000\n69844 100000\n39490 59209\n24126 36210\n98074 100000\n74302 100000\n96242 100000\n57848 86751\n13563 20375\n64924 97376\n14365 21596\n77024 100000\n75106 100000\n91538 100000\n10825 16238\n19258 28949\n17277 25970\n97019 100000\n53821 80665\n25338 38019\n93784 100000\n38867 58276\n51133 76658\n25259 37905\n77351 100000\n73158 100000\n31787 47695\n52015 77959\n73388 100000\n337 517\n64653 96968\n51240 76818\n5196 7815\n80230 100000\n15732 23667\n40939 61398\n87821 100000\n97338 100000\n97195 100000\n99188 100000\n53422 80078\n76791 100000\n16634 25013\n7249 10898\n60478 90732\n61214 91829\n48583 72814\n3110 4690\n58849 88264\n40457 60665\n30783 46198\n66665 100000\n14820 22298\n18381 27615\n27908 41856\n48192 72214\n74054 100000\n44887 67319\n70003 100000\n23212 34839\n66098 99164\n24092 36154\n50139 75152\n59931 89920\n77776 100000\n15841 23820\n99738 100000\n66880 100000\n68073 100000\n7425 11157\n10656 15982\n56797 85179\n94279 100000\n34906 52360\n10301 15464\n46650 69930\n22549 33844\n86284 100000\n65582 98376\n36825 55225\n90190 100000\n64442 96648\n4115 6194\n77245 100000\n37157 55712\n1184 1791\n52344 78446\n58667 87992\n19693 29608\n2826 4265\n96258 100000\n69370 100000\n60586 90887\n94237 100000\n33782 50661\n15198 22868\n92539 100000\n39952 59900\n10407 15616\n66152 99248\n92894 100000\n29444 44160\n42597 63892\n80275 100000\n97374 100000\n47294 70893\n75844 100000\n20632 31005\n69498 100000\n47339 70960\n80694 100000\n14967 22514\n50035 75001\n59050 88568\n24712 37076\n85103 100000\n37354 56006\n16770 25209\n12857 19295\n3680 5543\n99454 100000\n27001 40476\n74728 100000\n69579 100000\n1898 2857\n87153 100000\n7067 10626\n93735 100000\n56394 84586\n293 450\n68241 100000\n8702 13057\n54729 82051\n97706 100000\n49991 74936\n18334 27545\n24535 36812\n48149 72153\n94683 100000\n88311 100000\n27536 41293\n59425 89133\n46440 69621\n15223 22901\n26580 39874\n17454 26231\n15138 22782\n47239 70806\n61288 91939\n5399 8114\n5341 8032\n76713 100000\n84836 100000\n12269 18415\n12338 18518\n75857 100000\n60416 90638\n4688 7056\n42615 63918\n56307 84453\n49848 74732\n86330 100000\n22491 33760\n36116 54144\n51893 77771\n73256 100000\n81806 100000\n63425 95123\n3841 5781\n95930 100000\n80118 100000\n60746 91125\n29463 44186\n33715 50554\n68181 100000\n57184 85758\n61212 91827\n50504 75715\n73872 100000\n50522 75740\n96646 100000\n46431 69608\n15831 23806\n10098 15155\n28470 42701\n24922 37393\n29713 44556\n67756 100000\n57405 86103\n82414 100000\n47618 71362\n30175 45254\n47758 71572\n12278 18428\n32987 49474\n89338 100000\n61876 92827\n62303 93466\n67939 100000\n43436 65158\n71204 100000\n56820 85215\n7914 11892\n98403 100000\n50875 76272\n31451 47187\n10632 15946\n99112 100000\n42894 64331\n44510 66755\n64597 96882\n691 1056\n41009 61502\n37426 56114\n33019 49520\n16520 24841\n22825 34254\n46621 69888\n68262 100000\n62370 93573\n12630 18951\n27503 41245\n6142 9243\n51487 77166\n58011 87000\n28044 42057\n23146 34740\n90681 100000\n15977 24018\n18376 27608\n74153 100000\n54987 82446\n69224 100000\n66747 100000\n81085 100000\n41485 62225\n36180 54239\n59269 88901\n71722 100000\n43126 64682\n28174 42251\n56022 84018\n88513 100000\n59451 89178\n49009 73457\n15933 23955\n3714 5594\n75111 100000\n54748 82078\n67280 100000\n6296 9483\n32751 49128\n83718 100000\n9098 13637\n70150 100000\n36928 55371\n16480 24783\n47698 71483\n23501 35263\n21782 32722\n67962 100000\n65873 98821\n57507 86254\n15625 23512\n29285 43921\n67232 100000\n21532 32362\n84902 100000\n13797 20737\n70310 100000\n71034 100000\n73060 100000\n97282 100000\n76198 100000\n24910 37373\n86694 100000\n96779 100000\n93351 100000\n38859 58265\n2589 3904\n64205 96297\n23430 35160\n22254 33409\n14473 21762\n19523 29353\n46149 69201\n40000 59974\n37747 56599\n40490 60719\n71357 100000\n40708 61040\n43620 65428\n2509 3781\n67362 100000\n9310 13970\n61655 92484\n73887 100000\n83469 100000\n97977 100000\n30780 46193\n15731 23665\n28519 42773\n43158 64731\n40932 61388\n37925 56867\n82303 100000\n69778 100000\n25472 38217\n19156 28803\n87223 100000\n70824 100000\n20273 30475\n22120 33222\n48217 72251\n97039 100000\n23619 35434\n98282 100000\n76621 100000\n57724 86575\n70633 100000\n49902 74809\n40687 61009\n34261 51373\n85685 100000\n91127 100000\n9027 13537\n7663 11516\n25660 38488\n94499 100000\n34356 51520\n63098 94660\n76285 100000\n17345 26075\n57263 85884\n81833 100000\n27473 41201\n55797 83685\n59321 88978\n73367 100000\n8912 13373\n63422 95119\n54600 81849\n63152 94733\n14275 21463\n2221 3337\n51180 76727\n17386 26135\n31814 47735\n22515 33795\n58402 87606\n19169 28821\n62963 94452\n29894 44828\n54657 81938\n6734 10128\n31868 47814\n44084 66115\n39945 59892\n53001 79434\n50842 76219\n9453 14175\n98663 100000\n20589 30938\n39299 58921\n76028 100000\n68325 100000\n78451 100000\n87194 100000\n70326 100000\n29616 44406\n50510 75721\n22690 34058\n78797 100000\n5565 8364\n33699 50530\n4439 6683\n19360 29107\n51592 77317\n44557 66822\n4132 6218\n72727 100000\n25770 38658\n63221 94826\n34111 51146\n12522 18786\n11832 17761\n82339 100000\n91565 100000\n50885 76287\n83247 100000\n53868 80735\n85781 100000\n69927 100000\n43833 65741\n38753 58114\n4406 6633\n97816 100000\n69659 100000\n92852 100000\n33318 49960\n44708 67053\n43599 65399\n48442 72595\n7620 11450\n21262 31960\n29267 43895\n686 1048\n13915 20921\n56235 84341\n56416 84617\n64840 97246\n32248 48385\n36388 54563\n51861 77723\n78832 100000\n78843 100000\n80921 100000\n91417 100000\n8749 13126\n66526 99805\n39272 58879\n67893 100000\n2541 3829\n815 1239\n70299 100000\n56490 84728\n86876 100000\n43825 65731\n75698 100000\n16999 25541\n78268 100000\n49960 74890\n72416 100000\n9348 14027\n10744 16115\n80521 100000\n21810 32768\n70708 100000\n20335 30571\n10760 16137\n33346 49999\n25825 38748\n85801 100000\n44560 66828\n50960 76396\n28170 42245\n17763 26690\n81132 100000\n9519 14279\n19324 29049\n89996 100000\n17557 26381\n16229 24401\n48618 72870\n52268 78333\n66509 99781\n32043 48075\n74300 100000\n31637 47468\n28100 42141\n25388 38092\n97635 100000\n96963 100000\n15821 23791\n44915 67361\n82863 100000\n58079 87108\n66896 100000\n59884 89850\n4538 6829\n33196 49782\n41568 62349\n5678 8533\n40106 60134\n38161 57226\n40702 61032\n44744 67106\n89635 100000\n66238 99376\n78859 100000\n97665 100000\n41939 62916\n30300 45440\n66700 100000\n92010 100000\n90667 100000\n87813 100000\n759 1158\n57171 85738\n3715 5596\n40346 60496\n40624 60920\n86338 100000\n67982 100000\n44326 66479\n50784 76135\n45830 68727\n99 154\n6018 9047\n75651 100000\n46000 68975\n58687 88021\n75443 100000\n16470 24767\n87142 100000\n65489 98232\n19751 29696\n14004 21055\n14141 21266\n99924 100000\n49242 73801\n79204 100000\n88033 100000\n66468 99721\n70955 100000\n36373 54542\n93435 100000\n24491 36750\n12160 18253\n19720 29651\n74891 100000\n82702 100000\n84989 100000\n40258 60368\n69447 100000\n61102 91663\n40626 60923\n70658 100000\n49596 74340\n72267 100000\n79490 100000\n45817 68706\n26672 40008\n87196 100000\n77237 100000\n94632 100000\n22472 33733\n6700 10081\n80005 100000\n65660 98495\n66146 99238\n2927 4416\n84445 100000\n66150 99245\n6344 9558\n31606 47424\n37833 56730\n276 423\n73334 100000\n57266 85890\n22093 33180\n68437 100000\n44865 67285\n94201 100000\n95949 100000\n35943 53886\n31756 47649\n89921 100000\n84071 100000\n60491 90748\n51902 77785\n91069 100000\n24492 36751\n64757 97122\n9353 14034\n13528 20327\n13871 20853\n15600 23472\n70484 100000\n32723 49088\n89904 100000\n24892 37346\n90980 100000\n22587 33905\n21739 32656\n29670 44489\n38856 58260\n77061 100000\n60545 90826\n82754 100000\n82961 100000\n98077 100000\n94691 100000\n75858 100000\n11895 17858\n35601 53376\n45083 67620\n4220 6352\n54835 82215\n51033 76506\n11514 17281\n72060 100000\n69216 100000\n9443 14162\n41235 61848\n83632 100000\n10997 16499\n19348 29088\n55866 83779\n24618 36929\n46902 70299\n5180 7788\n21237 31922\n66252 99395\n57488 86225\n69460 100000\n61352 92037\n52643 78897\n98244 100000\n46575 69818\n86877 100000\n87341 100000\n62243 93373\n36468 54681\n70119 100000\n62471 93723\n23431 35161\n93483 100000\n80549 100000\n27248 40851\n44333 66489\n95687 100000\n20065 30163\n3756 5660\n61148 91729\n62942 94423\n37884 56804\n94418 100000\n58803 88199\n20448 30731\n4541 6834\n75351 100000\n30050 45058\n47438 71097\n43607 65410\n34727 52083\n47621 71367\n56387 84576\n83930 100000\n83700 100000\n35795 53665\n13096 19667\n5191 7807\n49 77\n76445 100000\n39470 59175\n39175 58719\n82373 100000\n82929 100000\n52403 78537\n41847 62780\n4775 7193\n66392 99605\n17214 25870\n15001 22571\n15661 23560\n38675 57993\n93527 100000\n35873 53785\n52194 78224\n10156 15242\n33258 49873\n2373 3568\n44589 66872\n48892 73284\n63256 94880\n94035 100000\n90845 100000\n16682 25084\n94206 100000\n33599 50382\n30684 46043\n3736 5629\n99426 100000\n5941 8929\n18911 28438\n68260 100000\n37269 55885\n39194 58749\n22753 34147\n14909 22427\n67418 100000\n39444 59139\n40443 60643\n14048 21123\n9358 14041\n21820 32784\n706 1078\n21403 32169\n53332 79948\n20151 30295\n90799 100000\n16099 24204\n78488 100000\n25163 37764\n86402 100000\n67857 100000\n2428 3652\n29356 44039\n24663 37000\n1362 2064\n22237 33387\n21770 32703\n61751 92626\n23538 35315\n33160 49727\n12123 18197\n65122 97673\n15300 23025\n56330 84485\n10366 15554\n17880 26861\n2695 4058\n88935 100000\n52276 78344\n8393 12600\n85860 100000\n67298 100000\n58304 87456\n48085 72056\n46414 69582\n27298 40925\n35872 53784\n14113 21224\n83554 100000\n38424 57619\n95129 100000\n85262 100000\n36961 55419\n54601 81851\n33098 49639\n83776 100000\n36469 54682\n43002 64493\n92600 100000\n18311 27512\n69895 100000\n61137 91712\n16578 24928\n65488 98230\n91005 100000\n92498 100000\n12933 19412\n86755 100000\n57737 86593\n20017 30095\n73307 100000\n89075 100000\n36400 54580\n33980 50953\n53782 80601\n55045 82543\n95360 100000\n70028 100000\n37514 56247\n17988 27022\n66949 100000\n55582 83358\n88140 100000\n45787 68661\n35028 52537\n66955 100000\n87760 100000\n46353 69494\n58674 88002\n66847 100000\n34899 52350\n30067 45083\n72784 100000\n63880 95797\n36940 55389\n64819 97216\n41996 62995\n87753 100000\n4840 7279\n9808 14719\n10629 15941\n28879 43318\n36385 54559\n28000 41992\n74687 100000\n67924 100000\n34683 52018\n3444 5197\n82334 100000\n5775 8677\n83501 100000\n57991 86970\n70561 100000\n37974 56942\n18234 27398\n42968 64442\n86321 100000\n63889 95812\n15890 23895\n37639 56441\n11300 16962\n48978 73411\n41916 62883\n77115 100000\n56056 84067\n30222 45324\n69831 100000\n93817 100000\n46333 69469\n83665 100000\n6853 10302\n4505 6777\n95549 100000\n58450 87681\n19423 29202\n93880 100000\n72069 100000\n47332 70951\n5883 8846\n12306 18466\n44339 66499\n88680 100000\n54873 82269\n95597 100000\n89371 100000\n81272 100000\n65280 97913\n42377 63561\n19077 28684\n38839 58233\n9815 14728\n88723 100000\n98652 100000\n41830 62754\n57802 86691\n82510 100000\n62259 93396\n72626 100000\n42956 64424\n96959 100000\n48068 72028\n44910 67354\n60414 90636\n66097 99162\n16084 24182\n53197 79736\n99937 100000\n79828 100000\n99471 100000\n31117 46699\n97988 100000\n27095 40620\n12602 18909\n68094 100000\n66591 99897\n7069 10629\n35697 53521\n4497 6764\n62922 94391\n54689 81986\n65728 98598\n77067 100000\n61614 92421\n5289 7951\n41490 62232\n77346 100000\n77036 100000\n2574 3882\n15266 22973\n59128 88685\n98739 100000\n96922 100000\n47394 71037\n28832 43246\n69349 100000\n77706 100000\n60145 90241\n49752 74584\n27272 40884\n12864 19306\n88146 100000\n75467 100000\n37857 56763\n54888 82291\n82788 100000\n24317 36492\n9874 14820\n87667 100000\n57484 86220\n31549 47336\n9316 13981\n44115 66162\n76420 100000\n50151 75170\n75183 100000\n24772 37168\n71668 100000\n88659 100000\n66307 99479\n70063 100000\n5795 8709\n9894 14854\n20029 30113\n10150 15235\n96208 100000\n95861 100000\n68615 100000\n87840 100000\n43109 64657\n92827 100000\n65641 98467\n46430 69607\n99467 100000\n57127 85672\n98603 100000\n11835 17765\n20371 30624\n19392 29158\n63338 94995\n61506 92262\n47493 71174\n73780 100000\n6283 9462\n24582 36880\n33089 49626\n39973 59934\n9928 14906\n40433 60629\n15291 23009\n7247 10895\n6138 9236\n52872 79244\n74243 100000\n4833 7272\n25061 37609\n1980 2976\n91363 100000\n61316 91982\n46854 70228\n79577 100000\n70197 100000\n97840 100000\n23156 34754\n71607 100000\n78747 100000\n75012 100000\n8816 13228\n59443 89165\n55620 83419\n21709 32610\n93522 100000\n21198 31860\n68709 100000\n3979 5982\n19239 28924\n75392 100000\n57544 86308\n66583 99885\n25936 38914\n10798 16195\n25481 38229\n37293 55920\n68273 100000\n20905 31427\n78438 100000\n97030 100000\n33750 50609\n17709 26607\n74178 100000\n61371 92067\n49506 74201\n22124 33227\n16538 24867\n56271 84396\n76601 100000\n37374 56038\n11533 17311\n97008 100000\n60187 90298\n37509 56240\n81790 100000\n8537 12804\n11205 16814\n22484 33749\n52295 78376\n7613 11440\n84611 100000\n93955 100000\n9 16\n35704 53531\n63769 95623\n56174 84245\n10373 15563\n35782 53645\n28101 42142\n41540 62309\n86473 100000\n42732 64088\n84551 100000\n8979 13468\n876 1329\n45671 68497\n15407 23183\n78470 100000\n89559 100000\n31571 47370\n17810 26762\n71180 100000\n63737 95575\n12395 18601\n6727 10117\n47626 71376\n46827 70189\n68879 100000\n70314 100000\n22228 33376\n34615 51913\n39265 58866\n84691 100000\n30704 46073\n12016 18036\n47003 70454\n99034 100000\n8023 12043\n26172 39265\n16363 24602\n15365 23122\n82719 100000\n25098 37670\n98622 100000\n50606 75863\n66834 100000\n50427 75598\n33561 50327\n71964 100000\n94758 100000\n76209 100000\n36055 54054\n63161 94746\n23913 35883\n70149 100000\n18601 27954\n43618 65425\n49410 74055\n29181 43760\n40184 60257\n80994 100000\n78914 100000\n50214 75272\n57633 86440\n62113 93166\n29972 44948\n78306 100000\n16664 25058\n34877 52316\n26912 40350\n90978 100000\n97163 100000\n30015 45007\n24580 36877\n10888 16335\n1065 1609\n5480 8236\n55653 83466\n75629 100000\n77022 100000\n80788 100000\n17404 26160\n57744 86604\n94238 100000\n97416 100000\n68172 100000\n42548 63816\n87820 100000\n41609 62408\n25631 38444\n88415 100000\n5595 8412\n1875 2823\n90594 100000\n2661 4008\n93672 100000\n34761 52135\n41791 62692\n45864 68774\n60124 90210\n68800 100000\n55402 83079\n8340 12522\n90009 100000\n15971 24012\n71354 100000\n26994 40466\n90036 100000\n52309 78397\n99328 100000\n12061 18108\n24125 36208\n22370 33577\n54662 81947\n15527 23363\n83454 100000\n24319 36496\n37817 56707\n55649 83459\n23999 36017\n12371 18567\n67475 100000\n34973 52455\n32936 49399\n20314 30536\n99926 100000\n83935 100000\n27707 41546\n47714 71506\n76333 100000\n19920 29949\n68398 100000\n1216 1842\n75553 100000\n23242 34878\n50101 75094\n7272 10934\n16127 24245\n34900 52351\n58945 88410\n94533 100000\n14942 22478\n3495 5269\n31367 47065\n81452 100000\n33185 49765\n65805 98717\n20364 30615\n42891 64327\n92587 100000\n63595 95372\n5968 8971\n1403 2121\n34176 51248\n58308 87462\n57940 86892\n70597 100000\n23794 35699\n21195 31855\n28213 42309\n2632 3964\n91192 100000\n41538 62305\n68200 100000\n49941 74862\n38267 57387\n2421 3640\n85561 100000\n20236 30423\n46045 69050\n30798 46222\n15710 23632\n42640 63951\n34644 51956\n2385 3586\n49986 74931\n45141 67703\n99359 100000\n86544 100000\n7554 11355\n88212 100000\n35431 53131\n10133 15211\n1157 1750\n12580 18876\n73374 100000\n86825 100000\n38607 57893\n94019 100000\n66735 100000\n65672 98513\n44363 66535\n53991 80923\n80780 100000\n9267 13902\n73996 100000\n65903 98868\n72559 100000\n49249 73811\n49288 73872\n16562 24907\n38655 57963\n57743 86602\n17701 26596\n88375 100000\n73139 100000\n88965 100000\n58660 87983\n23931 35908\n69802 100000\n9569 14358\n76119 100000\n58528 87792\n57146 85701\n47953 71861\n97671 100000\n78079 100000\n16809 25267\n25049 37587\n64404 96595\n3524 5310\n79889 100000\n57055 85567\n57462 86189\n44690 67023\n91275 100000\n39658 59466\n82681 100000\n85203 100000\n84180 100000\n12894 19351\n72777 100000\n49244 73803\n88082 100000\n91573 100000\n4314 6494\n52017 77963\n81590 100000\n67869 100000\n28208 42302\n38190 57272\n58338 87509\n25460 38201\n73684 100000\n44675 66997\n20477 30776\n33906 50846\n81993 100000\n68617 100000\n91364 100000\n30264 45388\n69051 100000\n15389 23156\n68927 100000\n15090 22709\n7341 11036\n11421 17140\n85502 100000\n75538 100000\n26756 40125\n44634 66941\n74981 100000\n55676 83503\n54552 81780\n1467 2220\n2928 4418\n86936 100000\n59073 88603\n14941 22477\n40538 60789\n88932 100000\n54258 81319\n86905 100000\n6583 9901\n520 799\n64626 96928\n32397 48606\n65131 97685\n17552 26375\n20948 31490\n74172 100000\n60231 90358\n25736 38607\n73040 100000\n30894 46365\n53689 80464\n21597 32455\n27758 41628\n63265 94895\n12386 18590\n54553 81781\n93392 100000\n13142 19733\n73940 100000\n49329 73931\n18389 27627\n63740 95578\n31269 46922\n92888 100000\n58160 87231\n82887 100000\n71671 100000\n54684 81979\n78753 100000\n77974 100000\n70343 100000\n96172 100000\n85006 100000\n61693 92540\n48355 72462\n3533 5324\n19135 28772\n61458 92193\n43322 64985\n78962 100000\n17993 27030\n17177 25817\n61607 92411\n87706 100000\n65080 97615\n11060 16599\n96070 100000\n58052 87066\n39046 58533\n5584 8395\n53685 80457\n10916 16377\n71457 100000\n93098 100000\n81354 100000\n65185 97768\n20163 30311\n53470 80145\n92567 100000\n87925 100000\n57048 85556\n66697 100000\n97928 100000\n91529 100000\n91876 100000\n40689 61012\n97791 100000\n75492 100000\n24869 37315\n98488 100000\n87549 100000\n14881 22384\n92537 100000\n73497 100000\n15850 23833\n4595 6918\n34509 51755\n94911 100000\n74995 100000\n16753 25187\n50437 75612\n55924 83867\n80616 100000\n85634 100000\n46373 69523\n99995 100000\n67326 100000\n7828 11759\n56933 85383\n78113 100000\n7211 10844\n26715 40066\n53056 79520\n94642 100000\n82888 100000\n65209 97805\n45573 68353\n5812 8735\n73045 100000\n48606 72852\n72154 100000\n79548 100000\n83511 100000\n43930 65889\n52336 78432\n50397 75555\n35216 52812\n58962 88439\n68766 100000\n15594 23463\n7950 11943\n73 113\n92637 100000\n35543 53293\n70057 100000\n56246 84360\n47268 70855\n31497 47256\n74436 100000\n90603 100000\n72665 100000\n92179 100000\n23592 35399\n30816 46247\n58211 87307\n8718 13080\n97994 100000\n46259 69357\n6692 10067\n75267 100000\n90213 100000\n20415 30683\n23639 35465\n65717 98580\n48759 73083\n53932 80837\n14793 22257\n60946 91432\n39171 58712\n2625 3955\n3834 5770\n51088 76589\n72428 100000\n95610 100000\n50474 75668\n21352 32093\n11079 16627\n30063 45077\n52687 78963\n18594 27944\n54827 82203\n84319 100000\n66688 100000\n3578 5388\n46554 69790\n71517 100000\n77379 100000\n62525 93808\n45509 68254\n31479 47230\n68012 100000\n43312 64968\n7913 11891\n14096 21199\n74177 100000\n5072 7629\n14999 22567\n29367 44055\n44029 66038\n47710 71501\n98822 100000\n23061 34610\n90968 100000\n53328 79942\n43858 65776\n23266 34916\n88806 100000\n91515 100000\n10829 16244\n36583 54854\n99219 100000\n6979 10493\n56621 84920\n48461 72624\n57246 85854\n79322 100000\n44608 66901\n39158 58693\n52808 79144\n5350 8045\n11717 17590\n70466 100000\n27224 40812\n3594 5411\n42861 64285\n82985 100000\n91109 100000\n20780 31235\n78699 100000\n70806 100000\n69368 100000\n42416 63623\n97777 100000\n31235 46876\n73621 100000\n3347 5052\n73791 100000\n28218 42316\n88363 100000\n58822 88225\n81178 100000\n53022 79467\n37607 56392\n24520 36791\n94729 100000\n22241 33392\n69453 100000\n35107 52650\n30669 46019\n69195 100000\n81547 100000\n95340 100000\n15761 23706\n58178 87257\n45411 68109\n62084 93128\n41909 62875\n90619 100000\n7658 11509\n8847 13274\n40092 60114\n36298 54423\n24643 36970\n77300 100000\n3103 4679\n55383 83053\n21831 32799\n8431 12655\n7064 10622\n33576 50350\n49566 74297\n76139 100000\n66954 100000\n61129 91703\n9175 13755\n8666 13003\n34013 51002\n57175 85745\n11917 17890\n89410 100000\n46078 69096\n70381 100000\n64956 97428\n84076 100000\n91243 100000\n82516 100000\n97143 100000\n55005 82477\n66035 99070\n14660 22052\n22121 33223\n66924 100000\n90153 100000\n86710 100000\n80984 100000\n3327 5020\n48360 72469\n35673 53484\n8526 12790\n84269 100000\n17781 26717\n5863 8816\n2277 3424\n6555 9859\n83232 100000\n56489 84727\n60582 90881\n48052 72005\n70691 100000\n90547 100000\n14543 21866\n85742 100000\n68733 100000\n29745 44600\n31751 47643\n31275 46931\n38914 58343\n84343 100000\n66775 100000\n80892 100000\n1835 2761\n13892 20884\n35042 52557\n81340 100000\n74121 100000\n41209 61807\n70784 100000\n40123 60163\n66901 100000\n44658 66974\n78872 100000\n17565 26394\n35802 53676\n10443 15674\n99269 100000\n89097 100000\n54577 81814\n13738 20651\n73719 100000\n55643 83451\n35463 53180\n71104 100000\n54772 82116\n91857 100000\n55443 83142\n8139 12222\n49572 74305\n34287 51409\n32937 49401\n83836 100000\n72731 100000\n78833 100000\n54236 81286\n71270 100000\n73241 100000\n14753 22199\n78341 100000\n63843 95738\n53026 79473\n50551 75781\n82881 100000\n30800 46225\n18165 27292\n94871 100000\n94829 100000\n57407 86107\n33868 50793\n55777 83659\n77566 100000\n58032 87032\n92917 100000\n34291 51416\n57948 86903\n12176 18279\n51112 76626\n54582 81820\n78103 100000\n42795 64186\n46675 69967\n1182 1788\n42998 64486\n72718 100000\n82108 100000\n33603 50388\n70570 100000\n39358 59010\n63553 95306\n81963 100000\n18455 27725\n62883 94337\n27113 40647\n79350 100000\n28613 42909\n60587 90889\n66638 99968\n28243 42352\n43505 65261\n36514 54747\n14936 22470\n25127 37710\n41611 62412\n802 1219\n65486 98227\n90629 100000\n79181 100000\n36321 54461\n53430 80090\n85881 100000\n41792 62693\n31940 47920\n74669 100000\n69572 100000\n10457 15693\n60364 90563\n78074 100000\n16083 24181\n70617 100000\n84713 100000\n92322 100000\n77600 100000\n68234 100000\n86372 100000\n61874 92824\n67800 100000\n1899 2858\n2365 3557\n99680 100000\n14659 22050\n62028 93050\n65913 98881\n45586 68376\n5040 7579\n88078 100000\n52797 79127\n14035 21104\n77656 100000\n37698 56527\n95195 100000\n72480 100000\n68524 100000\n66662 100000\n27544 41305\n41875 62824\n5583 8393\n3367 5083\n7855 11800\n30584 45889\n93043 100000\n75615 100000\n23890 35846\n87170 100000\n18972 28529\n61089 91644\n95191 100000\n88655 100000\n57651 86466\n22863 34310\n57825 86723\n92255 100000\n20720 31144\n55365 83025\n10279 15431\n82768 100000\n27444 41153\n20600 30955\n61731 92596\n58087 87119\n55479 83198\n17931 26941\n46844 70213\n3738 5631\n71203 100000\n56979 85454\n8575 12865\n39262 58861\n90454 100000\n33090 49627\n89550 100000\n92302 100000\n79631 100000\n56947 85405\n21289 31997\n13884 20871\n2904 4383\n68938 100000\n53840 80695\n13744 20659\n18053 27123\n87828 100000\n28278 42407\n57165 85729\n73144 100000\n90796 100000\n94441 100000\n69960 100000\n91927 100000\n87001 100000\n58601 87892\n42251 63378\n32034 48063\n60253 90389\n38899 58320\n95884 100000\n40005 59983\n31395 47106\n48741 73058\n75423 100000\n25494 38249\n90161 100000\n92355 100000\n83571 100000\n86869 100000\n45158 67727\n7179 10796\n92298 100000\n98193 100000\n27608 41399\n37783 56657\n70740 100000\n44074 66100\n53831 80681\n20185 30344\n31783 47689\n39616 59402\n68062 100000\n53340 79959\n54370 81498\n30607 45923\n8426 12648\n98242 100000\n17140 25755\n21020 31602\n80801 100000\n28511 42763\n43895 65832\n69470 100000\n46175 69237\n65564 98348\n48951 73373\n33888 50823\n83077 100000\n36286 54408\n85042 100000\n77746 100000\n48248 72298\n14382 21623\n62460 93707\n79687 100000\n31061 46620\n68378 100000\n49255 73820\n54184 81212\n37544 56287\n20985 31547\n55468 83181\n38027 57024\n41436 62151\n1444 2187\n55317 82956\n87679 100000\n68316 100000\n37705 56535\n91265 100000\n14012 21067\n22379 33590\n19060 28657\n12632 18953\n55454 83158\n36554 54806\n23633 35456\n99689 100000\n4739 7134\n4271 6427\n35058 52579\n95083 100000\n17811 26763\n38652 57958\n57320 85972\n56472 84700\n21253 31947\n17244 25920\n15100 22724\n49805 74669\n40572 60844\n45684 68515\n62271 93414\n22985 34489\n49213 73762\n37359 56014\n58937 88399\n62100 93149\n20668 31058\n14423 21684\n57111 85649\n49331 73934\n9121 13673\n98937 100000\n35168 52747\n35903 53830\n33856 50773\n63010 94525\n1575 2382\n92804 100000\n12629 18949\n54172 81194\n99736 100000\n39546 59296\n63358 95025\n77531 100000\n79231 100000\n22729 34112\n51564 77276\n75393 100000\n36523 54759\n9242 13862\n13413 20148\n15049 22644\n10805 16206\n94610 100000\n71948 100000\n88122 100000\n65425 98141\n25658 38485\n53075 79546\n40851 61268\n21805 32760\n27058 40563\n32573 48861\n93012 100000\n36395 54573\n45142 67704\n38718 58059\n61307 91970\n36603 54887\n24693 37045\n28129 42180\n8141 12224\n2351 3536\n82698 100000\n1208 1830\n90721 100000\n3246 4897\n12369 18564\n1459 2209\n56034 84035\n73755 100000\n89115 100000\n32268 48413\n80127 100000\n7098 10674\n88055 100000\n37936 56887\n99083 100000\n70936 100000\n89959 100000\n28388 42576\n39336 58979\n59750 89652\n77508 100000\n4917 7395\n14184 21331\n24132 36220\n99862 100000\n50282 75379\n95026 100000\n30108 45148\n50245 75319\n70441 100000\n54220 81264\n50796 76152\n3856 5803\n71621 100000\n5925 8905\n26445 39673\n29257 43878\n53632 80387\n56642 84954\n57563 86334\n53798 80628\n86706 100000\n61331 92005\n76199 100000\n88999 100000\n97301 100000\n65424 98139\n10911 16369\n98461 100000\n10375 15567\n52094 78079\n93614 100000\n1914 2879\n99043 100000\n17051 25615\n35596 53369\n8583 12878\n46687 69983\n61305 91967\n26480 39724\n83773 100000\n3833 5768\n65791 98697\n98184 100000\n93867 100000\n22664 34022\n71259 100000\n91583 100000\n5771 8670\n32195 48301\n55326 82967\n78396 100000\n90099 100000\n96592 100000\n4451 6701\n29588 44365\n24101 36172\n54891 82297\n71691 100000\n84085 100000\n34101 51129\n21731 32646\n58327 87490\n14463 21746\n35169 52748\n72022 100000\n71161 100000\n3789 5711\n47578 71301\n40676 60994\n44728 67082\n44030 66039\n23157 34756\n85394 100000\n19541 29379\n78314 100000\n91431 100000\n26520 39784\n7241 10886\n22079 33158\n90848 100000\n68213 100000\n63436 95139\n71463 100000\n98631 100000\n49956 74886\n18098 27188\n52480 78650\n10059 15096\n93389 100000\n44100 66139\n95558 100000\n84082 100000\n64368 96539\n36513 54745\n723 1100\n24920 37390\n65565 98349\n78212 100000\n94052 100000\n3648 5494\n58054 87069\n38315 57459\n7600 11423\n8566 12853\n86944 100000\n28269 42392\n3206 4837\n7107 10686\n81793 100000\n53334 79950\n74903 100000\n91893 100000\n25844 38776\n10445 15677\n20039 30128\n96308 100000\n27080 40599\n92830 100000\n71186 100000\n81461 100000\n85884 100000\n80523 100000\n18146 27259\n11784 17691\n50824 76193\n28205 42297\n93547 100000\n87690 100000\n45173 67754\n59056 88576\n26587 39886\n34514 51761\n77949 100000\n89491 100000\n99040 100000\n14987 22546\n83595 100000\n6695 10073\n89810 100000\n7785 11698\n69765 100000\n49474 74150\n91301 100000\n8774 13163\n93473 100000\n16535 24864\n72420 100000\n43069 64592\n58961 88438\n10723 16081\n42410 63613\n89099 100000\n44867 67288\n71839 100000\n29110 43654\n38083 57106\n7298 10968\n83820 100000\n4683 7050\n83226 100000\n7365 11070\n41248 61868\n51493 77173\n89202 100000\n69987 100000\n61710 92564\n94304 100000\n93090 100000\n52436 78587\n29664 44479\n74575 100000\n74583 100000\n5716 8590\n39879 59793\n84466 100000\n15186 22849\n25210 37833\n3896 5862\n32403 48614\n37673 56492\n44781 67161\n97899 100000\n1616 2436\n42082 63117\n5142 7736\n43095 64633\n91537 100000\n46345 69485\n15664 23566\n5318 7995\n20690 31094\n19244 28931\n58020 87014\n96194 100000\n27348 40997\n69833 100000\n76895 100000\n5075 7633\n26894 40324\n94313 100000\n35401 53086\n77666 100000\n4358 6562\n89418 100000\n11638 17469\n86273 100000\n3176 4793\n99725 100000\n28273 42399\n46527 69749\n51731 77527\n10448 15681\n40848 61264\n98054 100000\n34096 51122\n47200 70752\n51883 77759\n42882 64312\n57590 86373\n88957 100000\n67551 100000\n23232 34865\n15317 23048\n4972 7480\n10262 15407\n99750 100000\n84877 100000\n99982 100000\n71008 100000\n75899 100000\n96207 100000\n59257 88883\n5896 8864\n3054 4608\n92855 100000\n86519 100000\n5904 8875\n80951 100000\n22125 33229\n17852 26824\n60087 90156\n50699 76005\n7462 11213\n80721 100000\n90758 100000\n71309 100000\n74354 100000\n80341 100000\n12432 18658\n89611 100000\n29833 44734\n9853 14784\n92932 100000\n43469 65211\n43844 65758\n69380 100000\n17162 25791\n45290 67933\n31512 47280\n25706 38558\n95697 100000\n62742 94125\n82769 100000\n70545 100000\n85163 100000\n53403 80047\n62867 94316\n90295 100000\n24724 37093\n82581 100000\n50327 75447\n28930 43397\n73479 100000\n81909 100000\n90263 100000\n83547 100000\n99050 100000\n3101 4677\n95887 100000\n2103 3156\n75155 100000\n82396 100000\n58395 87596\n98351 100000\n5823 8754\n45485 68221\n45105 67647\n525 805\n39062 58555\n77936 100000\n38512 57757\n8769 13157\n26459 39695\n18022 27076\n19976 30032\n89608 100000\n74268 100000\n86059 100000\n93448 100000\n14282 21472\n39823 59711\n66511 99784\n67896 100000\n21382 32138\n85542 100000\n85775 100000\n92972 100000\n52995 79424\n91825 100000\n99098 100000\n4364 6572\n12443 18673\n76495 100000\n3665 5521\n20274 30477\n59090 88625\n81113 100000\n88204 100000\n38571 57840\n73765 100000\n97718 100000\n42495 63739\n72058 100000\n70269 100000\n72902 100000\n81246 100000\n2491 3752\n15473 23285\n75824 100000\n56872 85288\n72491 100000\n64780 97158\n80491 100000\n32126 48205\n27519 41269\n32202 48311\n80778 100000\n22064 33135\n95669 100000\n19198 28863\n15823 23794\n30913 46394\n21323 32050\n30494 45746\n41495 62242\n85589 100000\n51510 77199\n13980 21018\n48510 72700\n60997 91508\n80518 100000\n52132 78130\n27983 41968\n7201 10828\n48587 72821\n60081 90146\n92697 100000\n66439 99676\n40649 60959\n34545 51809\n53533 80237\n7395 11113\n85209 100000\n59477 89220\n64274 96401\n80087 100000\n95078 100000\n99525 100000\n25695 38538\n65444 98166\n96467 100000\n81695 100000\n86992 100000\n67922 100000\n93941 100000\n58396 87597\n71579 100000\n86789 100000\n22817 34242\n3198 4824\n87708 100000\n20510 30823\n2288 3442\n70852 100000\n95346 100000\n81417 100000\n31120 46703\n32294 48447\n53343 79964\n94220 100000\n64082 96104\n87225 100000\n56616 84914\n13437 20188\n47910 71793\n64892 97323\n42712 64056\n79269 100000\n88568 100000\n45869 68783\n92115 100000\n46949 70369\n97031 100000\n60676 91021\n9281 13922\n39475 59185\n62506 93775\n92649 100000\n45431 68137\n13300 19970\n35804 53680\n56167 84236\n35116 52666\n34070 51085\n2250 3379\n47173 70712\n17374 26119\n66139 99230\n37653 56463\n2478 3730\n71500 100000\n75618 100000\n63200 94796\n43508 65266\n19579 29438\n66670 100000\n29689 44516\n27374 41038\n28064 42088\n79255 100000\n66609 99925\n48493 72672\n66052 99097\n38769 58135\n87958 100000\n62393 93609\n61432 92152\n51367 76998\n3309 4994\n9419 14127\n27276 40890\n88348 100000\n64064 96080\n69937 100000\n89839 100000\n43172 64755\n49000 73443\n73566 100000\n13935 20953\n63417 95109\n50426 75596\n23995 36011\n49820 74692\n27031 40525\n84674 100000\n33476 50197\n94026 100000\n65820 98740\n22423 33658\n90792 100000\n56535 84795\n32931 49392\n81041 100000\n27450 41164\n31877 47827\n18391 27630\n76102 100000\n81743 100000\n39291 58909\n73140 100000\n92992 100000\n200 307\n96515 100000\n9021 13527\n2202 3310\n31430 47158\n3370 5087\n73526 100000\n74971 100000\n27845 41764\n79306 100000\n97444 100000\n80525 100000\n94283 100000\n65277 97907\n13963 20993\n39929 59868\n97430 100000\n68989 100000\n13538 20340\n31823 47749\n10603 15903\n41158 61728\n93074 100000\n87305 100000\n40888 61318\n1750 2636\n13677 20556\n82091 100000\n47412 71060\n13802 20747\n21923 32932\n88228 100000\n3904 5876\n64200 96289\n23768 35661\n15913 23928\n34475 51705\n22953 34442\n41966 62955\n28075 42104\n24480 36735\n1724 2596\n19658 29555\n7116 10702\n14726 22156\n44909 67352\n74772 100000\n90916 100000\n57685 86518\n74377 100000\n1479 2239\n59901 89875\n50850 76233\n79525 100000\n30576 45877\n43923 65877\n14033 21102\n49689 74483\n29531 44288\n66723 100000\n84898 100000\n14140 21265\n4050 6086\n624 957\n49330 73932\n89941 100000\n59727 89614\n34916 52374\n64241 96351\n52726 79020\n95265 100000\n22040 33100\n92333 100000\n56737 85087\n96744 100000\n42830 64237\n23732 35608\n87890 100000\n13767 20693\n34338 51486\n73886 100000\n14061 21145\n9176 13757\n25566 38348\n47628 71380\n40400 60580\n35716 53547\n14629 21999\n44895 67331\n98498 100000\n89716 100000\n72510 100000\n4898 7365\n18417 27669\n89404 100000\n81254 100000\n42341 63509\n29056 43583\n12851 19284\n33379 50051\n56634 84943\n92631 100000\n49867 74761\n88182 100000\n59816 89750\n15055 22654\n23921 35894\n85924 100000\n93852 100000\n91842 100000\n60226 90352\n92032 100000\n22894 34355\n88201 100000\n91631 100000\n9476 14211\n27446 41157\n26176 39272\n81541 100000\n27672 41491\n62786 94194\n43025 64524\n17774 26706\n86336 100000\n97201 100000\n40954 61420\n66311 99485\n49178 73711\n60295 90456\n91781 100000\n56202 84288\n6315 9513\n63223 94830\n81508 100000\n55697 83532\n20756 31196\n54621 81880\n58924 88378\n1136 1718\n82465 100000\n33647 50456\n14246 21419\n55819 83713\n45396 68090\n63385 95063\n47726 71529\n14705 22122\n5712 8584\n11113 16682\n92555 100000\n45744 68604\n22843 34277\n46543 69772\n24606 36912\n66556 99846\n92903 100000\n74730 100000\n91890 100000\n66375 99580\n27386 41058\n78355 100000\n88158 100000\n70554 100000\n40071 60085\n90316 100000\n96160 100000\n28313 42461\n41390 62083\n32550 48828\n37241 55840\n3314 5003\n57162 85725\n7769 11673\n73228 100000\n33793 50679\n35664 53471\n14757 22204\n32744 49118\n82781 100000\n75134 100000\n11463 17205\n80236 100000\n53737 80538\n76657 100000\n32529 48799\n56818 85211\n54669 81958\n82988 100000\n83771 100000\n23758 35647\n10618 15923\n18659 28044\n88427 100000\n56568 84846\n7820 11747\n80232 100000\n9065 13590\n82412 100000\n75902 100000\n26717 40069\n21658 32536\n16883 25375\n68677 100000\n53127 79623\n78608 100000\n44388 66574\n42677 64002\n53108 79595\n98259 100000\n57551 86317\n79258 100000\n24764 37156\n17945 26960\n66215 99341\n1800 2710\n93831 100000\n18825 28309\n26603 39910\n92746 100000\n20966 31519\n54099 81081\n67150 100000\n88929 100000\n8191 12299\n97441 100000\n25378 38078\n90841 100000\n25703 38552\n79118 100000\n26402 39608\n16461 24752\n35608 53386\n40099 60125\n20863 31357\n24452 36695\n23456 35197\n48566 72789\n88823 100000\n3506 5283\n80850 100000\n71326 100000\n94583 100000\n16949 25473\n45888 68812\n85010 100000\n89069 100000\n64177 96255\n18994 28563\n41221 61826\n9422 14130\n14966 22512\n72139 100000\n1410 2132\n4864 7315\n18179 27312\n1876 2825\n21921 32930\n17897 26887\n17836 26801\n31652 47494\n29452 44170\n94423 100000\n35017 52522\n87207 100000\n91926 100000\n90337 100000\n40746 61104\n51006 76464\n48638 72901\n56386 84575\n99791 100000\n72356 100000\n45783 68655\n69146 100000\n91428 100000\n71460 100000\n62562 93860\n2084 3127\n77741 100000\n32130 48210\n19748 29692\n95982 100000\n34197 51277\n23956 35950\n68923 100000\n18491 27783\n33512 50249\n20605 30964\n8080 12129\n94394 100000\n50985 76432\n22202 33343\n80891 100000\n99522 100000\n68349 100000\n72702 100000\n46321 69449\n32880 49315\n74512 100000\n42044 63068\n50955 76390\n56135 84186\n91954 100000\n84884 100000\n49768 74610\n4852 7296\n16934 25452\n34539 51800\n47535 71236\n92554 100000\n41761 62646\n20482 30782\n95095 100000\n77908 100000\n70511 100000\n29198 43784\n75046 100000\n37587 56358\n86882 100000\n43991 65982\n74088 100000\n12208 18332\n99492 100000\n25654 38480\n27870 41802\n7447 11188\n50735 76063\n2095 3143\n68317 100000\n54981 82435\n9398 14098\n17724 26627\n71510 100000\n24816 37236\n85766 100000\n21787 32730\n93127 100000\n69780 100000\n56858 85271\n34533 51791\n42191 63291\n20918 31448\n4637 6981\n68749 100000\n4763 7173\n56148 84206\n59782 89698\n59434 89149\n86607 100000\n59357 89032\n68579 100000\n54265 81330\n63307 94951\n79876 100000\n54204 81240\n80384 100000\n72545 100000\n61791 92688\n73698 100000\n93319 100000\n95677 100000\n9392 14090\n91971 100000\n5204 7827\n51004 76461\n35034 52546\n41122 61671\n1605 2422\n14873 22374\n1792 2700\n13104 19676\n46910 70312\n84388 100000\n70241 100000\n25800 38709\n53020 79463\n40116 60151\n661 1007\n93681 100000\n7716 11590\n22112 33209\n69740 100000\n54991 82453\n62483 93739\n15956 23989\n56039 84043\n36547 54794\n44841 67247\n55138 82686\n74176 100000\n657 1001\n52884 79260\n22900 34365\n53561 80279\n61958 92950\n14001 21050\n96528 100000\n58384 87580\n27772 41650\n23783 35683\n21202 31866\n6684 10054\n99545 100000\n4893 7358\n48426 72571\n58269 87397\n3429 5175\n92284 100000\n72732 100000\n93710 100000\n37782 56656\n70687 100000\n92534 100000\n82571 100000\n89163 100000\n94322 100000\n72674 100000\n196 301\n11736 17614\n53238 79799\n66570 99865\n13540 20343\n33191 49774\n24921 37392\n93807 100000\n38603 57886\n70027 100000\n43356 65035\n60285 90438\n9677 14519\n98547 100000\n59057 88578\n38278 57406\n79728 100000\n24900 37357\n75714 100000\n15202 22872\n2219 3334\n73021 100000\n35845 53740\n14781 22238\n38151 57208\n19149 28795\n28207 42300\n43724 65589\n99063 100000\n48437 72586\n43131 64691\n11853 17791\n425 651\n26915 40355\n26348 39531\n40426 60618\n18888 28405\n126 194\n13099 19670\n85027 100000\n68789 100000\n21723 32632\n51391 77035\n11148 16728\n21338 32074\n36712 55049\n19356 29101\n85613 100000\n19722 29653\n15126 22765\n62133 93197\n59162 88739\n10736 16101\n1432 2168\n45580 68364\n11337 17018\n50730 76054\n40966 61437\n31138 46729\n53585 80310\n51501 77186\n49205 73750\n15657 23555\n31321 47000\n51777 77595\n27459 41176\n4662 7019\n31054 46609\n77051 100000\n86525 100000\n57144 85698\n23738 35617\n21495 32311\n76841 100000\n28668 42997\n86560 100000\n30150 45217\n66273 99427\n80498 100000\n47355 70983\n36980 55449\n96014 100000\n26788 40175\n66203 99322\n44288 66422\n91618 100000\n89434 100000\n87296 100000\n79532 100000\n77762 100000\n81896 100000\n4470 6727\n2867 4325\n50066 75042\n60864 91306\n55047 82546\n37600 56379\n22115 33214\n44191 66279\n53504 80196\n50350 75481\n98023 100000\n39353 59003\n97561 100000\n57176 85747\n9927 14904\n29200 43787\n27124 40662\n91907 100000\n277 424\n32247 48383\n57294 85932\n73710 100000\n72398 100000\n25004 37520\n18413 27663\n50300 75404\n49943 74864\n23317 34991\n22791 34201\n38017 57007\n54101 81085\n4958 7460\n64685 97019\n49054 73528\n5278 7933\n78337 100000\n88683 100000\n3026 4568\n82036 100000\n87671 100000\n23675 35521\n17094 25683\n68599 100000\n53523 80223\n5233 7870\n57494 86235\n45740 68599\n82134 100000\n26545 39824\n44070 66093\n72909 100000\n97328 100000\n79703 100000\n84352 100000\n90285 100000\n80723 100000\n80887 100000\n57390 86083\n35884 53801\n41384 62074\n51245 76823\n74504 100000\n76903 100000\n22398 33619\n2769 4175\n7946 11939\n25309 37976\n22830 34259\n78194 100000\n91776 100000\n68865 100000\n39165 58703\n52716 79007\n37665 56481\n54583 81821\n18999 28568\n90375 100000\n82374 100000\n14943 22480\n71441 100000\n88542 100000\n64059 96074\n85159 100000\n78911 100000\n63831 95720\n55570 83340\n95473 100000\n49047 73516\n89474 100000\n86398 100000\n19165 28816\n4906 7378\n38581 57855\n92243 100000\n56491 84729\n4339 6532\n43215 64814\n37640 56442\n88476 100000\n89130 100000\n21260 31958\n75209 100000\n79603 100000\n4343 6538\n21581 32433\n34759 52132\n46279 69384\n64628 96931\n82765 100000\n29903 44840\n17303 26012\n75199 100000\n85333 100000\n71849 100000\n84345 100000\n54094 81076\n86573 100000\n26363 39553\n76821 100000\n67134 100000\n27701 41535\n95093 100000\n52385 78507\n77825 100000\n84279 100000\n6222 9369\n86448 100000\n26019 39036\n75354 100000\n92693 100000\n49964 74895\n59015 88513\n26843 40252\n41488 62230\n78309 100000\n30799 46224\n78454 100000\n66916 100000\n26569 39860\n39195 58751\n35603 53379\n1234 1870\n64636 96943\n94609 100000\n20283 30490\n6159 9270\n2731 4117\n21729 32643\n53964 80884\n59820 89756\n84128 100000\n8765 13152\n27632 41432\n32520 48788\n68370 100000\n90702 100000\n62940 94421\n38198 57282\n44443 66653\n44687 67018\n86033 100000\n61244 91871\n41808 62719\n78693 100000\n42321 63479\n68333 100000\n32633 48948\n20634 31009\n53706 80492\n61309 91973\n16221 24388\n16387 24637\n27309 40941\n79628 100000\n60318 90490\n23844 35776\n99416 100000\n80998 100000\n35781 53644\n99603 100000\n803 1220\n32882 49318\n35706 53533\n15568 23424\n25180 37790\n58242 87355\n77170 100000\n21320 32047\n34647 51961\n5168 7770\n24563 36853\n9224 13835\n37916 56853\n72609 100000\n26753 40120\n95527 100000\n94661 100000\n39359 59012\n91295 100000\n17122 25727\n39276 58884\n12768 19158\n55778 83660\n35644 53441\n5385 8097\n56496 84734\n71555 100000\n67245 100000\n67817 100000\n11209 16820\n98177 100000\n70071 100000\n7970 11971\n34878 52318\n26857 40273\n58775 88156\n45572 68351\n65310 97961\n60029 90067\n92543 100000\n8292 12446\n62339 93526\n49901 74808\n23250 34890\n49352 73968\n43212 64809\n44495 66732\n24232 36362\n90533 100000\n7537 11328\n46945 70365\n99182 100000\n4482 6745\n57227 85824\n56728 85075\n68893 100000\n93991 100000\n38476 57698\n36278 54395\n17426 26189\n81498 100000\n51683 77454\n71471 100000\n76559 100000\n61656 92485\n37153 55706\n20389 30649\n16510 24829\n2749 4145\n2999 4528\n29693 44523\n34740 52104\n34927 52387\n32982 49465\n65115 97663\n56429 84637\n14570 21905\n83640 100000\n20943 31485\n91815 100000\n89219 100000\n85284 100000\n32140 48222\n350 540\n51786 77610\n64813 97209\n9056 13576\n47048 70523\n43654 65478\n84682 100000\n89277 100000\n76016 100000\n92306 100000\n80375 100000\n37860 56768\n80541 100000\n93537 100000\n57515 86265\n59265 88896\n33971 50941\n29447 44164\n51502 77187\n51545 77249\n52331 78426\n7475 11233\n70362 100000\n7916 11896\n36045 54039\n18669 28062\n16509 24828\n60495 90753\n93339 100000\n6054 9107\n14145 21272\n15712 23634\n93044 100000\n43255 64878\n33637 50440\n70532 100000\n31894 47853\n12074 18127\n8486 12732\n65930 98908\n37660 56473\n5656 8502\n33496 50227\n66824 100000\n43561 65345\n34174 51245\n80493 100000\n40557 60818\n22635 33978\n1723 2595\n92170 100000\n71341 100000\n90755 100000\n2232 3353\n72672 100000\n75971 100000\n98204 100000\n64912 97357\n19155 28802\n86181 100000\n32680 49021\n62505 93774\n15385 23148\n89381 100000\n96476 100000\n28416 42617\n36186 54249\n42348 63518\n65308 97958\n85255 100000\n93998 100000\n45710 68552\n39277 58886\n8538 12806\n71883 100000\n54988 82448\n40777 61158\n35477 53200\n67758 100000\n44057 66077\n63763 95612\n45214 67813\n91520 100000\n47959 71869\n39136 58660\n31874 47822\n10843 16266\n29287 43924\n66249 99391\n14829 22309\n64116 96157\n62225 93347\n66871 100000\n73874 100000\n53277 79858\n51304 76905\n1177 1781\n70695 100000\n76144 100000\n240 369\n16886 25379\n5865 8820\n57954 86914\n4523 6806\n29629 44427\n33429 50129\n86283 100000\n9544 14321\n43181 64766\n83582 100000\n81775 100000\n65617 98431\n35919 53854\n33700 50532\n16531 24858\n77089 100000\n66106 99177\n63428 95128\n82253 100000\n11648 17483\n85773 100000\n55455 83160\n37094 55620\n58279 87414\n86409 100000\n40213 60302\n99716 100000\n14861 22355\n82204 100000\n61821 92735\n10344 15523\n55310 82947\n80425 100000\n10074 15119\n44948 67408\n38783 58156\n51712 77496\n70579 100000\n1793 2702\n55605 83396\n50866 76259\n10521 15782\n56225 84326\n4518 6799\n93376 100000\n9168 13745\n68539 100000\n19680 29589\n31091 46663\n55392 83065\n23514 35284\n91861 100000\n62800 94214\n99753 100000\n35736 53576\n75712 100000\n47008 70462\n19304 29016\n28718 43072\n84196 100000\n39939 59883\n46498 69704\n31176 46792\n57856 86764\n81440 100000\n44825 67223\n14676 22075\n44392 66580\n40586 60863\n94680 100000\n98084 100000\n91601 100000\n28026 42032\n34706 52053\n24537 36815\n70237 100000\n16798 25250\n79180 100000\n23452 35193\n15818 23788\n6774 10185\n82962 100000\n7389 11106\n83049 100000\n6971 10481\n79762 100000\n51657 77414\n4025 6045\n37290 55915\n48914 73316\n3435 5185\n11992 17999\n18058 27130\n80773 100000\n96263 100000\n11477 17229\n72793 100000\n59171 88752\n16960 25486\n16178 24322\n96923 100000\n46614 69879\n87912 100000\n94058 100000\n63783 95646\n26205 39314\n32740 49112\n97395 100000\n52898 79280\n40989 61471\n31685 47543\n91476 100000\n81373 100000\n86815 100000\n59423 89129\n75849 100000\n63128 94702\n79956 100000\n49992 74938\n2163 3249\n5446 8188\n20590 30940\n10818 16227\n50534 75756\n87352 100000\n22838 34269\n82078 100000\n81899 100000\n9104 13646\n76323 100000\n97033 100000\n60248 90382\n4014 6029\n83557 100000\n56485 84721\n31715 47589\n90522 100000\n4070 6120\n44143 66211\n64414 96607\n44021 66026\n25059 37605\n16402 24660\n6728 10119\n27489 41225\n54551 81778\n30114 45159\n83025 100000\n9069 13596\n98126 100000\n36417 54604\n17766 26695\n29131 43688\n1380 2089\n81592 100000\n82337 100000\n99793 100000\n50099 75092\n14795 22260\n62077 93119\n37646 56451\n15781 23733\n77102 100000\n22247 33401\n87083 100000\n3157 4763\n43610 65415\n90505 100000\n8977 13465\n75721 100000\n62620 93945\n4369 6580\n94992 100000\n36770 55145\n26468 39708\n66563 99855\n76337 100000\n70169 100000\n32065 48113\n20455 30742\n27336 40976\n20064 30162\n96581 100000\n57416 86120\n97170 100000\n4952 7453\n92713 100000\n60968 91466\n94866 100000\n59932 89921\n67359 100000\n70896 100000\n45493 68234\n17564 26392\n36231 54318\n85789 100000\n89708 100000\n19744 29686\n78048 100000\n83201 100000\n55921 83862\n67509 100000\n91383 100000\n84984 100000\n62803 94220\n76207 100000\n12596 18900\n65780 98680\n11466 17210\n49383 74014\n20201 30371\n85186 100000\n37176 55740\n41227 61836\n91886 100000\n85871 100000\n9478 14215\n90030 100000\n8395 12603\n60822 91242\n38463 57679\n76408 100000\n55229 82820\n27924 41881\n84911 100000\n3235 4882\n30408 45611\n89554 100000\n51043 76522\n80964 100000\n9868 14812\n58510 87762\n14700 22114\n77168 100000\n18439 27700\n11552 17339\n74757 100000\n20070 30171\n20521 30837\n7252 10904\n88092 100000\n65010 97505\n86458 100000\n35318 52961\n97702 100000\n28197 42282\n78078 100000\n97203 100000\n54961 82402\n24173 36275\n47037 70508\n65661 98496\n39712 59549\n98229 100000\n27125 40664\n9914 14886\n96725 100000\n89673 100000\n2507 3778\n36448 54650\n77886 100000\n53481 80160\n27390 41065\n25436 38164\n91792 100000\n84409 100000\n43637 65454\n66673 100000\n74615 100000\n31094 46667\n62207 93317\n37835 56734\n85641 100000\n69414 100000\n61259 91893\n4535 6825\n53142 79646\n22354 33553\n61374 92072\n75007 100000\n64034 96034\n74600 100000\n86943 100000\n75494 100000\n87806 100000\n5445 8186\n76294 100000\n34537 51796\n39103 58613\n30082 45108\n50622 75889\n96049 100000\n98427 100000\n38092 57120\n15982 24027\n34848 52271\n53834 80685\n45644 68457\n85957 100000\n39059 58551\n11641 17474\n14990 22551\n33794 50681\n51992 77926\n7498 11267\n71041 100000\n3073 4639\n21461 32261\n64496 96727\n33666 50484\n58328 87492\n86475 100000\n42269 63402\n59896 89869\n88239 100000\n87082 100000\n76528 100000\n80628 100000\n6499 9780\n24100 36170\n3750 5650\n36205 54276\n78946 100000\n51728 77522\n92666 100000\n45436 68143\n5172 7775\n36880 55301\n12838 19265\n18657 28041\n85758 100000\n53995 80929\n15320 23052\n40261 60374\n85786 100000\n83067 100000\n73143 100000\n66991 100000\n17969 26994\n84102 100000\n67979 100000\n98619 100000\n73290 100000\n31111 46690\n69177 100000\n64038 96039\n36482 54701\n73737 100000\n66444 99683\n49459 74126\n60174 90280\n28620 42922\n9705 14562\n76030 100000\n90781 100000\n8030 12054\n64345 96505\n55581 83357\n75816 100000\n29816 44713\n38484 57711\n82153 100000\n34918 52376\n77965 100000\n39186 58735\n20309 30530\n24362 36562\n29384 44079\n77742 100000\n16629 25005\n34268 51383\n73286 100000\n84928 100000\n1738 2617\n25514 38276\n41882 62834\n23155 34752\n10178 15278\n20033 30120\n45725 68576\n60412 90634\n3117 4701\n51403 77052\n78694 100000\n88915 100000\n28159 42225\n66692 100000\n46458 69646\n34760 52133\n14389 21633\n62269 93412\n679 1037\n16101 24206\n64564 96834\n84399 100000\n58408 87614\n61456 92191\n44423 66625\n75114 100000\n98324 100000\n872 1324\n66124 99208\n55922 83864\n16781 25225\n33471 50188\n41176 61756\n62570 93868\n16528 24852\n2376 3573\n24195 36308\n43732 65598\n95006 100000\n22975 34475\n97471 100000\n90966 100000\n48188 72209\n30980 46502\n71576 100000\n90028 100000\n98850 100000\n68604 100000\n45013 67505\n6838 10280\n32046 48081\n97986 100000\n60052 90103\n10920 16383\n52829 79177\n17990 27025\n39609 59390\n1565 2368\n13942 20962\n1611 2429\n99872 100000\n36881 55302\n57764 86633\n51087 76587\n48592 72829\n91547 100000\n54136 81142\n87694 100000\n54509 81717\n26295 39452\n60714 91076\n66966 100000\n79830 100000\n95834 100000\n91039 100000\n24604 36910\n5173 7777\n34319 51458\n92272 100000\n30953 46458\n95254 100000\n56982 85459\n7539 11330\n67223 100000\n56636 84945\n91298 100000\n2151 3229\n45458 68176\n61896 92854\n90095 100000\n73285 100000\n37322 55961\n80955 100000\n90436 100000\n57456 86179\n59859 89812\n43575 65364\n52093 78078\n32038 48069\n65624 98441\n68239 100000\n78060 100000\n40958 61425\n44742 67103\n91985 100000\n42065 63096\n66055 99102\n92183 100000\n48811 73160\n93036 100000\n6425 9681\n45109 67654\n73405 100000\n76298 100000\n38110 57145\n89375 100000\n13465 20230\n9657 14487\n8371 12568\n9548 14326\n20576 30915\n52990 79416\n50483 75682\n17326 26046\n91406 100000\n72980 100000\n99159 100000\n32689 49038\n44561 66829\n25341 38023\n54978 82431\n13050 19596\n81591 100000\n88357 100000\n95021 100000\n69020 100000\n13105 19677\n89362 100000\n43030 64532\n20471 30765\n7550 11348\n9863 14802\n48960 73383\n41247 61867\n23722 35591\n45877 68795\n46673 69963\n99019 100000\n42706 64046\n78156 100000\n5886 8850\n57286 85919\n60092 90164\n22510 33788\n86983 100000\n79436 100000\n32183 48280\n81537 100000\n89822 100000\n39597 59374\n11174 16767\n37898 56823\n88566 100000\n7268 10927\n98445 100000\n72840 100000\n57125 85669\n7302 10976\n40852 61270\n97098 100000\n85858 100000\n15435 23230\n20831 31315\n98655 100000\n61289 91940\n36610 54896\n18257 27430\n79538 100000\n37927 56871\n72790 100000\n23497 35256\n8676 13019\n6822 10255\n91590 100000\n88633 100000\n80309 100000\n28316 42464\n39322 58958\n4019 6036\n40237 60336\n70705 100000\n69593 100000\n87027 100000\n43519 65281\n73214 100000\n25589 38381\n46890 70283\n94989 100000\n82639 100000\n99509 100000\n58345 87519\n90008 100000\n13815 20769\n47464 71132\n51590 77313\n50117 75121\n63849 95747\n20888 31398\n27675 41495\n36703 55034\n39172 58714\n544 835\n62087 93132\n27644 41451\n38157 57219\n5127 7714\n28255 42371\n34169 51238\n81341 100000\n36486 54707\n35832 53721\n80112 100000\n8330 12505\n36226 54310\n37014 55499\n68123 100000\n15798 23758\n15583 23445\n52297 78378\n41322 61984\n1492 2258\n40487 60715\n67819 100000\n12962 19454\n55097 82622\n55677 83504\n52345 78448\n51399 77046\n40231 60328\n43775 65658\n57865 86776\n27521 41271\n76541 100000\n22966 34464\n875 1328\n51945 77851\n80214 100000\n29370 44058\n36636 54936\n50475 75670\n88355 100000\n37787 56664\n54076 81048\n88120 100000\n97674 100000\n74817 100000\n43715 65573\n99837 100000\n3497 5272\n77450 100000\n32831 49246\n99808 100000\n39577 59347\n48625 72883\n22287 33456\n81385 100000\n73907 100000\n67998 100000\n95550 100000\n39309 58936\n11797 17710\n34412 51604\n68566 100000\n30892 46362\n23967 35970\n8 15\n26980 40445\n77313 100000\n30983 46507\n72223 100000\n9130 13684\n20481 30781\n88520 100000\n69858 100000\n53387 80025\n79503 100000\n90586 100000\n78986 100000\n36872 55289\n41900 62861\n69260 100000\n9541 14316\n72904 100000\n86765 100000\n4270 6426\n30327 45478\n42371 63552\n59172 88753\n77538 100000\n74545 100000\n68710 100000\n85567 100000\n74175 100000\n21095 31710\n74289 100000\n50712 76026\n93 145\n99205 100000\n42270 63404\n5149 7746\n69374 100000\n19053 28645\n71685 100000\n24114 36191\n79343 100000\n35583 53350\n45391 68082\n52249 78302\n98168 100000\n84006 100000\n2441 3674\n24694 37046\n53158 79672\n61283 91929\n66738 100000\n81102 100000\n96832 100000\n79020 100000\n23884 35837\n57377 86062\n30053 45063\n37852 56756\n44877 67307\n50288 75388\n97391 100000\n54825 82199\n55295 82923\n22766 34167\n98358 100000\n55119 82656\n46891 70284\n91961 100000\n42486 63725\n92927 100000\n32932 49394\n64114 96154\n6398 9642\n92951 100000\n83589 100000\n38611 57897\n5629 8463\n24851 37288\n90777 100000\n53196 79734\n99110 100000\n59889 89858\n37442 56139\n82806 100000\n43098 64638\n88027 100000\n17956 26977\n72583 100000\n85544 100000\n793 1205\n601 923\n22879 34334\n26955 40412\n86579 100000\n12846 19276\n43655 65480\n90731 100000\n10967 16451\n96000 100000\n68981 100000\n12483 18729\n29460 44182\n37863 56772\n39571 59336\n10737 16103\n60994 91504\n32991 49481\n10414 15628\n12692 19049\n28151 42213\n61553 92330\n5993 9008\n73754 100000\n43463 65203\n62949 94431\n38319 57463\n93516 100000\n31688 47548\n89059 100000\n53303 79903\n77297 100000\n28837 43255\n73460 100000\n594 911\n88089 100000\n86744 100000\n99187 100000\n49118 73622\n51769 77584\n83464 100000\n92793 100000\n94681 100000\n70869 100000\n74060 100000\n20308 30529\n6166 9282\n77885 100000\n90571 100000\n71919 100000\n87647 100000\n41379 62066\n29858 44773\n5005 7528\n65009 97504\n35962 53917\n74515 100000\n21883 32876\n60787 91190\n45439 68147\n57569 86343\n4940 7434\n92880 100000\n98604 100000\n83514 100000\n60188 90299\n23133 34720\n88800 100000\n61666 92502\n25560 38341\n63588 95362\n85313 100000\n75898 100000\n96174 100000\n93168 100000\n62854 94296\n29779 44652\n67252 100000\n19219 28891\n19485 29300\n97024 100000\n97190 100000\n78149 100000\n16720 25141\n32559 48842\n51202 76761\n50398 75556\n52494 78672\n21239 31924\n31179 46797\n97457 100000\n98666 100000\n35864 53772\n97139 100000\n89250 100000\n59778 89692\n806 1225\n340 523\n77896 100000\n11857 17796\n47260 70843\n2448 3685\n42858 64279\n21742 32660\n84703 100000\n41648 62469\n26667 40003\n12733 19108\n7545 11339\n86886 100000\n49460 74128\n26226 39349\n7479 11240\n22837 34268\n84341 100000\n62127 93187\n25363 38054\n90232 100000\n16025 24096\n78631 100000\n63700 95525\n65626 98445\n34044 51047\n77994 100000\n51361 76989\n27458 41175\n91106 100000\n45536 68299\n97245 100000\n53042 79498\n82144 100000\n46152 69204\n71412 100000\n42334 63499\n83455 100000\n11768 17665\n25108 37683\n10938 16406\n94859 100000\n24064 36112\n79796 100000\n89446 100000\n44278 66408\n77320 100000\n45532 68292\n1989 2991\n73799 100000\n4178 6290\n56469 84697\n69072 100000\n578 888\n68652 100000\n72686 100000\n46508 69719\n42231 63353\n7246 10894\n45583 68370\n1710 2575\n81750 100000\n53963 80883\n29442 44157\n17717 26618\n36425 54616\n92074 100000\n7789 11702\n57925 86869\n70860 100000\n72948 100000\n19366 29118\n8344 12529\n89184 100000\n32833 49248\n77925 100000\n41846 62779\n80820 100000\n44335 66492\n77661 100000\n17251 25930\n99563 100000\n13310 19987\n36796 55189\n33732 50582\n95798 100000\n77592 100000\n32078 48133\n77407 100000\n12254 18396\n38851 58252\n96710 100000\n34120 51160\n81710 100000\n22555 33855\n98134 100000\n37249 55853\n81430 100000\n96409 100000\n50949 76381\n33278 49901\n5900 8870\n44541 66799\n81175 100000\n83674 100000\n21839 32810\n43059 64577\n26573 39866\n77963 100000\n5838 8776\n68695 100000\n80142 100000\n92636 100000\n75250 100000\n79979 100000\n23387 35096\n96327 100000\n10271 15421\n46017 69002\n1027 1551\n18358 27579\n44905 67347\n6360 9584\n36780 55163\n60035 90077\n7324 11011\n51761 77571\n34007 50992\n39724 59565\n9991 14996\n69035 100000\n27098 40625\n68285 100000\n7570 11379\n9647 14473\n34042 51044\n98692 100000\n73752 100000\n50524 75742\n70601 100000\n3013 4548\n30011 45001\n96836 100000\n58588 87874\n95488 100000\n25267 37917\n41539 62307\n34528 51783\n68323 100000\n18534 27852\n95175 100000\n60757 91145\n93937 100000\n68432 100000\n66483 99744\n26357 39544\n96423 100000\n16862 25347\n59989 90009\n43707 65562\n16611 24978\n25979 38975\n45019 67514\n7686 11550\n99648 100000\n50588 75838\n52840 79196\n49747 74576\n19499 29319\n98890 100000\n88522 100000\n37774 56642\n22546 33838\n70268 100000\n3678 5540\n49367 73989\n15713 23636\n73027 100000\n99663 100000\n7285 10953\n49717 74527\n71682 100000\n13900 20895\n12030 18057\n71580 100000\n40276 60393\n21113 31737\n76155 100000\n20846 31333\n93016 100000\n55535 83286\n97782 100000\n64428 96629\n44204 66296\n33261 49877\n77079 100000\n42975 64455\n20980 31538\n82969 100000\n8636 12959\n12011 18029\n26866 40284\n32004 48020\n47772 71590\n97670 100000\n89068 100000\n59246 88865\n96953 100000\n79299 100000\n47527 71223\n88095 100000\n8491 12740\n99523 100000\n43358 65038\n26924 40367\n481 735\n80684 100000\n61750 92624\n41222 61828\n39708 59543\n93136 100000\n65549 98328\n70697 100000\n49492 74178\n98195 100000\n71018 100000\n16980 25515\n13008 19531\n86445 100000\n40612 60902\n61414 92126\n99300 100000\n12579 18875\n99475 100000\n43635 65451\n22571 33881\n40066 60079\n6124 9215\n8984 13474\n99099 100000\n42775 64155\n89124 100000\n29203 43792\n14211 21370\n11201 16807\n58173 87250\n31772 47673\n12058 18103\n58655 87974\n25768 38654\n38872 58283\n49018 73470\n15693 23608\n26803 40197\n12891 19346\n92913 100000\n11678 17530\n37053 55558\n45543 68310\n18220 27377\n30905 46381\n71285 100000\n78274 100000\n96425 100000\n8019 12039\n66079 99138\n97729 100000\n7390 11107\n44926 67377\n35245 52856\n33842 50753\n96253 100000\n62517 93795\n47769 71585\n38410 57598\n72878 100000\n56864 85279\n19142 28785\n26358 39545\n2666 4016\n2145 3219\n63261 94888\n66539 99825\n87138 100000\n36971 55435\n39031 58512\n62597 93911\n19594 29460\n25086 37650\n55312 82950\n22146 33258\n62212 93325\n50434 75607\n10199 15310\n5991 9004\n70650 100000\n96712 100000\n72830 100000\n49003 73447\n11386 17088\n7712 11584\n32481 48730\n85988 100000\n14287 21479\n56452 84671\n14266 21448\n99373 100000\n85471 100000\n13507 20295\n10739 16106\n63934 95877\n36070 54076\n10081 15131\n6069 9129\n48690 72979\n14439 21707\n69132 100000\n50563 75797\n12520 18784\n21796 32747\n74158 100000\n11297 16956\n78319 100000\n46400 69561\n93873 100000\n82061 100000\n39857 59760\n96058 100000\n34721 52074\n49114 73617\n45886 68809\n93982 100000\n9429 14141\n16746 25177\n63253 94876\n54087 81065\n74957 100000\n5217 7843\n76753 100000\n4026 6046\n17174 25812\n40101 60127\n76984 100000\n84793 100000\n11447 17184\n88376 100000\n57262 85882\n55826 83722\n88015 100000\n53215 79765\n51558 77268\n10111 15178\n19521 29351\n41642 62461\n65062 97588\n72136 100000\n81253 100000\n49411 74056\n28935 43405\n67912 100000\n32092 48155\n85753 100000\n56251 84368\n42990 64474\n30249 45364\n91594 100000\n46012 68994\n87712 100000\n91784 100000\n11270 16912\n85802 100000\n55439 83135\n20897 31413\n44807 67197\n87443 100000\n87065 100000\n7460 11211\n46558 69796\n35105 52647\n28163 42233\n96775 100000\n26617 39932\n37321 55959\n86388 100000\n48480 72655\n2857 4312\n5996 9013\n80343 100000\n29057 43584\n73568 100000\n61935 92914\n13708 20605\n79401 100000\n11569 17365\n5139 7731\n18189 27327\n42590 63880\n61275 91916\n7209 10841\n12244 18381\n41618 62423\n172 262\n83172 100000\n93241 100000\n91854 100000\n59656 89503\n45151 67718\n63379 95057\n44961 67426\n90679 100000\n39052 58541\n53301 79899\n17292 25995\n24853 37290\n68404 100000\n67075 100000\n13972 21006\n64886 97313\n10932 16399\n31995 48006\n56250 84366\n86396 100000\n3378 5100\n17654 26524\n86379 100000\n97614 100000\n5492 8253\n19365 29116\n10559 15836\n59851 89800\n251 386\n3402 5136\n73377 100000\n90937 100000\n98595 100000\n19491 29308\n8369 12565\n64961 97435\n86292 100000\n81287 100000\n62299 93458\n55841 83743\n9633 14453\n72394 100000\n83532 100000\n72893 100000\n46433 69611\n48041 71987\n85898 100000\n64320 96468\n22631 33971\n43869 65793\n87752 100000\n61401 92108\n78285 100000\n45792 68668\n41686 62525\n65537 98306\n33991 50969\n88114 100000\n34975 52458\n75959 100000\n39785 59654\n78760 100000\n37886 56807\n43373 65062\n32141 48224\n44277 66407\n51846 77702\n27381 41050\n35668 53476\n16174 24315\n75775 100000\n54445 81620\n2217 3331\n59957 89961\n85233 100000\n40274 60391\n76053 100000\n78655 100000\n79824 100000\n18851 28348\n26235 39362\n52058 78028\n38791 58169\n39815 59699\n96054 100000\n11999 18010\n90457 100000\n19463 29264\n62739 94120\n70746 100000\n5568 8370\n83927 100000\n83979 100000\n72010 100000\n66022 99047\n44462 66678\n2239 3363\n46502 69709\n99998 100000\n1648 2486\n83284 100000\n16983 25519\n94588 100000\n30213 45311\n36951 55404\n8669 13008\n88157 100000\n33661 50477\n12064 18113\n18429 27688\n55124 82665\n6403 9650\n77440 100000\n18857 28358\n55031 82521\n72408 100000\n87533 100000\n52853 79216\n48385 72507\n90910 100000\n5470 8222\n72495 100000\n79561 100000\n69097 100000\n79498 100000\n3112 4693\n87750 100000\n49771 74615\n72798 100000\n43627 65439\n86062 100000\n25962 38950\n4643 6990\n5736 8615\n17871 26849\n68249 100000\n15797 23757\n5325 8007\n32436 48663\n8843 13270\n47961 71873\n36059 54059\n94978 100000\n68230 100000\n95722 100000\n7001 10526\n15455 23257\n6910 10386\n56847 85257\n71821 100000\n19635 29521\n65476 98213\n19514 29342\n48061 72019\n89797 100000\n51578 77295\n80205 100000\n35671 53481\n65236 97848\n9785 14686\n30689 46050\n84574 100000\n21578 32429\n48455 72614\n97089 100000\n88265 100000\n3878 5836\n7407 11130\n18144 27256\n14300 21501\n9309 13969\n6266 9436\n25804 38715\n78122 100000\n38405 57589\n29589 44367\n9093 13630\n77364 100000\n47760 71574\n4296 6467\n71643 100000\n55046 82545\n91493 100000\n27664 41481\n38800 58181\n26475 39717\n17038 25597\n81411 100000\n62210 93322\n42728 64080\n26681 40021\n98590 100000\n65531 98299\n53974 80899\n1580 2388\n24135 36223\n51733 77530\n5469 8220\n98940 100000\n52038 77995\n38860 58267\n47806 71645\n95044 100000\n96375 100000\n62844 94284\n12794 19197\n77362 100000\n84961 100000\n6655 10011\n12215 18342\n71874 100000\n63854 95756\n5706 8576\n34581 51864\n23586 35392\n64257 96377\n10097 15153\n71663 100000\n28338 42499\n4341 6535\n71634 100000\n60902 91367\n92597 100000\n38669 57984\n51508 77195\n84933 100000\n92686 100000\n96984 100000\n57378 86064\n9474 14207\n6778 10191\n41722 62584\n74529 100000\n8192 12301\n13760 20683\n26606 39914\n28535 42795\n262 403\n18575 27915\n72127 100000\n86177 100000\n33772 50642\n52350 78456\n69908 100000\n46620 69887\n58927 88383\n64693 97031\n35790 53657\n95492 100000\n64834 97236\n71595 100000\n56907 85343\n59817 89751\n75991 100000\n32694 49046\n57029 85531\n93057 100000\n37532 56271\n39177 58722\n91843 100000\n78098 100000\n35593 53365\n88953 100000\n28584 42868\n17427 26190\n47350 70977\n89770 100000\n87038 100000\n50438 75613\n39054 58543\n72796 100000\n48543 72754\n58188 87273\n42446 63667\n59419 89124\n67020 100000\n99138 100000\n69715 100000\n57683 86516\n15882 23881\n21826 32790\n77756 100000\n57549 86315\n7654 11504\n54770 82114\n33025 49528\n9158 13730\n85285 100000\n75549 100000\n72028 100000\n57355 86027\n80088 100000\n53160 79676\n62744 94129\n61802 92705\n50931 76353\n83647 100000\n30870 46328\n31701 47566\n87242 100000\n19740 29680\n8821 13236\n46593 69846\n3577 5387\n93397 100000\n27615 41408\n86094 100000\n77687 100000\n50109 75108\n16835 25306\n87665 100000\n12173 18273\n40699 61028\n67291 100000\n39400 59070\n40089 60110\n66016 99038\n95703 100000\n62466 93716\n96611 100000\n97597 100000\n78887 100000\n43079 64608\n55380 83048\n25357 38045\n8230 12359\n39150 58681\n63680 95496\n52810 79147\n70856 100000\n26719 40072\n93680 100000\n11042 16570\n50210 75265\n73783 100000\n21190 31847\n40890 61322\n21381 32136\n78124 100000\n68535 100000\n11922 17896\n90509 100000\n54140 81148\n71952 100000\n55238 82834\n40991 61474\n71819 100000\n62728 94104\n2387 3590\n31510 47276\n62138 93205\n69890 100000\n27118 40654\n26821 40221\n28791 43185\n83457 100000\n77305 100000\n12542 18817\n18216 27371\n8034 12060\n75257 100000\n59328 88989\n24487 36745\n64126 96174\n72641 100000\n55263 82871\n78008 100000\n83563 100000\n47016 70475\n66135 99223\n64995 97485\n27559 41323\n77114 100000\n87316 100000\n70245 100000\n52070 78046\n96570 100000\n24138 36226\n57354 86025\n78589 100000\n49580 74316\n51619 77358\n16046 24127\n9807 14718\n32288 48439\n18141 27252\n39453 59152\n43292 64939\n58950 88419\n76746 100000\n76305 100000\n94745 100000\n75926 100000\n94095 100000\n96928 100000\n69339 100000\n53710 80496\n8026 12048\n41434 62148\n29945 44907\n29635 44437\n70558 100000\n14190 21338\n79775 100000\n35039 52552\n32608 48909\n40973 61448\n72023 100000\n41045 61560\n71349 100000\n60840 91271\n91777 100000\n37303 55933\n1838 2765\n76245 100000\n19927 29961\n3200 4827\n16876 25365\n78127 100000\n75218 100000\n86366 100000\n51533 77231\n38224 57320\n55825 83721\n16726 25150\n57154 85713\n66668 100000\n1720 2590\n46187 69253\n69294 100000\n18839 28328\n96086 100000\n76934 100000\n91348 100000\n74078 100000\n47977 71898\n90954 100000\n8612 12921\n90678 100000\n14143 21269\n93576 100000\n6742 10138\n83989 100000\n92863 100000\n56462 84687\n41741 62612\n41236 61849\n10207 15319\n6547 9848\n4609 6937\n84945 100000\n70074 100000\n24927 37402\n21160 31802\n37811 56698\n80266 100000\n73717 100000\n52226 78272\n3401 5135\n20019 30098\n54626 81886\n34897 52347\n60362 90560\n8813 13224\n76532 100000\n24761 37152\n63473 95193\n8288 12440\n50265 75351\n41428 62140\n31070 46633\n59561 89349\n20133 30268\n75243 100000\n8905 13363\n75962 100000\n2957 4465\n69998 100000\n41612 62414\n19831 29815\n32299 48454\n21219 31892\n25938 38917\n97664 100000\n44116 66164\n55596 83380\n44085 66116\n26942 40393\n26161 39250\n10446 15678\n78039 100000\n33884 50818\n81481 100000\n30012 45003\n76400 100000\n8063 12103\n97733 100000\n29096 43634\n16252 24436\n37848 56751\n83506 100000\n90062 100000\n95839 100000\n12307 18467\n81992 100000\n44188 66275\n57473 86203\n52134 78133\n23879 35829\n46158 69212\n81062 100000\n44077 66104\n5783 8688\n86404 100000\n17899 26891\n81439 100000\n67718 100000\n50685 75985\n85857 100000\n54610 81865\n21979 33013\n40291 60414\n8640 12965\n99916 100000\n62820 94248\n37958 56917\n30887 46355\n36506 54736\n46223 69303\n87991 100000\n92549 100000\n19899 29915\n64561 96829\n7483 11246\n60558 90845\n42120 63177\n64279 96408\n31897 47857\n85639 100000\n82694 100000\n17372 26115\n77110 100000\n65758 98644\n73164 100000\n71495 100000\n70915 100000\n3893 5859\n94332 100000\n62104 93153\n38339 57490\n78712 100000\n18918 28449\n9067 13593\n8328 12502\n86593 100000\n56060 84075\n68590 100000\n30049 45057\n43521 65285\n49529 74239\n53683 80454\n53762 80574\n64804 97194\n604 927\n77029 100000\n19912 29935\n53057 79522\n2358 3546\n24474 36728\n74063 100000\n63063 94607\n95542 100000\n23959 35956\n58348 87523\n42821 64224\n60917 91389\n32470 48713\n94668 100000\n42561 63837\n70755 100000\n88841 100000\n81500 100000\n24673 37015\n56122 84168\n84386 100000\n40743 61101\n15434 23228\n20140 30278\n75266 100000\n31423 47148\n89264 100000\n97298 100000\n82663 100000\n35484 53208\n74346 100000\n14765 22216\n44952 67414\n57123 85666\n30741 46130\n3580 5391\n3942 5934\n58411 87617\n43910 65858\n78326 100000\n3403 5138\n80063 100000\n69009 100000\n93789 100000\n89873 100000\n3752 5654\n61087 91640\n97281 100000\n12775 19168\n47033 70501\n76608 100000\n54994 82457\n46008 68988\n7012 10542\n35486 53210\n38272 57395\n26585 39882\n44663 66980\n26643 39972\n65344 98017\n84587 100000\n91313 100000\n38449 57660\n20505 30817\n14951 22491\n99394 100000\n59662 89511\n98910 100000\n44250 66364\n92678 100000\n58878 88308\n55288 82912\n81797 100000\n78137 100000\n12637 18962\n59448 89173\n16852 25334\n53930 80834\n39145 58674\n34476 51706\n18485 27775\n23772 35668\n95152 100000\n71794 100000\n6053 9106\n77420 100000\n64632 96937\n50686 75986\n52582 78803\n42066 63097\n9051 13568\n8754 13134\n42579 63864\n90061 100000\n71879 100000\n92330 100000\n24845 37280\n97995 100000\n1097 1655\n33229 49829\n31865 47809\n7751 11647\n29604 44390\n58728 88085\n58964 88442\n26677 40015\n7675 11535\n50642 75922\n9560 14344\n88890 100000\n97401 100000\n46043 69046\n31493 47249\n69528 100000\n51498 77181\n65478 98215\n76421 100000\n71095 100000\n89191 100000\n72679 100000\n16240 24417\n68955 100000\n70077 100000\n3035 4580\n27700 41534\n17104 25696\n9918 14892\n2790 4210\n65183 97765\n8929 13396\n16129 24247\n68032 100000\n41276 61914\n3295 4975\n32675 49013\n55748 83611\n86904 100000\n17417 26177\n17323 26042\n8441 12669\n14996 22562\n68575 100000\n90542 100000\n14231 21398\n99141 100000\n51725 77518\n60708 91066\n90105 100000\n99726 100000\n79096 100000\n30722 46101\n12143 18226\n894 1356\n28695 43037\n61480 92226\n31893 47851\n37173 55737\n37221 55808\n25799 38707\n61267 91904\n11805 17722\n37314 55949\n78283 100000\n53032 79482\n39500 59223\n34815 52218\n12849 19281\n54407 81559\n82744 100000\n31778 47682\n10101 15160\n57893 86820\n12752 19138\n66302 99471\n6880 10342\n91221 100000\n36401 54581\n94605 100000\n64539 96794\n47852 71706\n6293 9478\n39687 59514\n66291 99456\n75322 100000\n9988 14990\n1596 2407\n67395 100000\n69508 100000\n96810 100000\n44597 66884\n12412 18626\n21857 32839\n5181 7790\n96968 100000\n34775 52157\n58433 87654\n83117 100000\n61679 92520\n71202 100000\n64272 96399\n28604 42896\n22531 33816\n71477 100000\n49973 74909\n66997 100000\n53740 80541\n58969 88448\n73599 100000\n18982 28544\n6581 9898\n60349 90538\n36361 54522\n55441 83138\n73934 100000\n43837 65747\n4012 6026\n18639 28012\n45159 67729\n55169 82733\n28716 43070\n37619 56411\n52483 78655\n13021 19553\n40268 60382\n78038 100000\n12178 18282\n4652 7003\n84891 100000\n63976 95934\n58854 88271\n56570 84848\n89621 100000\n2688 4047\n26768 40145\n45634 68442\n14690 22097\n14394 21640\n97877 100000\n95935 100000\n6194 9326\n63432 95134\n18719 28144\n32243 48376\n42407 63609\n63658 95464\n85011 100000\n75767 100000\n34513 51760\n71297 100000\n41132 61688\n77635 100000\n94226 100000\n60753 91138\n74109 100000\n45338 68002\n65807 98721\n33976 50947\n1174 1778\n73070 100000\n27780 41662\n14243 21415\n93439 100000\n92275 100000\n58553 87824\n10638 15955\n78311 100000\n40105 60133\n73762 100000\n58205 87298\n66465 99717\n50417 75584\n77259 100000\n34923 52383\n78521 100000\n95715 100000\n21769 32702\n6426 9682\n54918 82340\n86883 100000\n15156 22805\n81532 100000\n92196 100000\n44035 66046\n40941 61401\n2835 4279\n31563 47359\n4950 7450\n44577 66853\n17676 26558\n5462 8209\n74794 100000\n27081 40600\n80681 100000\n82751 100000\n80211 100000\n53843 80700\n30277 45406\n47230 70795\n94570 100000\n49534 74247\n94191 100000\n16566 24911\n16242 24421\n79238 100000\n22094 33181\n4455 6706\n13636 20492\n94470 100000\n871 1322\n24124 36206\n84743 100000\n25510 38271\n55559 83325\n5745 8630\n72755 100000\n65135 97692\n49250 73812\n33381 50053\n48335 72431\n74484 100000\n78988 100000\n79877 100000\n75647 100000\n73582 100000\n12736 19112\n41860 62801\n90669 100000\n16293 24495\n89586 100000\n28398 42588\n98900 100000\n24527 36800\n13410 20142\n63512 95251\n61624 92437\n13856 20829\n52278 78348\n92160 100000\n53908 80800\n39303 58926\n47981 71904\n71638 100000\n81487 100000\n7121 10709\n96337 100000\n56083 84109\n88512 100000\n16817 25280\n71427 100000\n37715 56549\n92152 100000\n59795 89715\n48471 72639\n64580 96857\n99061 100000\n76032 100000\n57001 85489\n39946 59893\n20839 31323\n81425 100000\n89997 100000\n96784 100000\n25608 38409\n53368 79998\n66241 99381\n49793 74650\n27369 41029\n29966 44938\n50889 76292\n2269 3410\n89118 100000\n59330 88991\n92262 100000\n73995 100000\n74839 100000\n26670 40006\n45963 68919\n6402 9648\n27535 41291\n78834 100000\n53882 80757\n8115 12186\n85161 100000\n45871 68787\n24646 36973\n2125 3186\n64020 96010\n22150 33263\n82075 100000\n24005 36026\n3741 5636\n24461 36709\n21233 31917\n1040 1569\n55123 82664\n51828 77676\n13065 19617\n16703 25117\n73028 100000\n90573 100000\n16940 25460\n244 376\n52652 78911\n74585 100000\n75287 100000\n15658 23556\n79653 100000\n51332 76945\n23478 35227\n40094 60117\n44569 66840\n60512 90777\n81372 100000\n13452 20211\n3627 5461\n61438 92163\n20126 30256\n24768 37162\n87852 100000\n24549 36833\n34967 52446\n91522 100000\n61351 92035\n80797 100000\n64196 96282\n89400 100000\n24083 36140\n34971 52451\n98169 100000\n21815 32777\n34297 51426\n44922 67371\n81334 100000\n62143 93212\n50619 75883\n75346 100000\n55041 82537\n8517 12776\n43587 65382\n58842 88254\n8653 12982\n69267 100000\n91128 100000\n89324 100000\n88338 100000\n87929 100000\n89433 100000\n35877 53791\n35978 53940\n19011 28588\n21067 31667\n85117 100000\n64061 96076\n86531 100000\n39204 58769\n57109 85645\n18845 28338\n48169 72180\n3651 5499\n87410 100000\n66195 99308\n29899 44835\n79965 100000\n39440 59134\n14205 21360\n93411 100000\n368 565\n53519 80218\n85912 100000\n93630 100000\n5313 7989\n52172 78190\n22489 33757\n89301 100000\n38382 57555\n33837 50744\n12758 19146\n94696 100000\n25435 38163\n58782 88166\n48752 73074\n78227 100000\n46762 70097\n1706 2567\n21207 31873\n39341 58987\n69741 100000\n64576 96850\n59405 89100\n25912 38878\n92604 100000\n71979 100000\n3097 4671\n75350 100000\n52030 77984\n64118 96161\n64935 97394\n71197 100000\n51897 77777\n36695 55022\n94188 100000\n72760 100000\n72835 100000\n65829 98754\n69311 100000\n83180 100000\n80828 100000\n2642 3980\n86595 100000\n96605 100000\n53985 80915\n58218 87317\n61204 91814\n68808 100000\n29280 43914\n75030 100000\n52381 78501\n12598 18903\n74539 100000\n90494 100000\n48913 73314\n23693 35546\n42881 64311\n82767 100000\n55813 83705\n82044 100000\n24948 37433\n57537 86297\n56768 85134\n51837 77689\n60818 91236\n72604 100000\n59736 89629\n56455 84676\n37726 56567\n58907 88353\n13089 19656\n35147 52712\n28526 42783\n70204 100000\n52983 79403\n71243 100000\n68372 100000\n49238 73796\n33378 50049\n57979 86952\n52566 78779\n82000 100000\n81185 100000\n90479 100000\n74261 100000\n137 211\n15669 23574\n54218 81262\n76910 100000\n83100 100000\n82310 100000\n35190 52778\n50768 76110\n50696 76000\n71608 100000\n15234 22920\n25504 38263\n41225 61832\n9776 14671\n22582 33896\n31702 47568\n79750 100000\n16795 25245\n16779 25222\n73066 100000\n24395 36612\n46813 70169\n94248 100000\n7580 11394\n52287 78362\n2951 4456\n81142 100000\n67114 100000\n20255 30449\n88418 100000\n95336 100000\n43696 65543\n92038 100000\n29892 44826\n70120 100000\n427 654\n26835 40241\n98796 100000\n94362 100000\n23735 35613\n53565 80283\n76107 100000\n62228 93351\n13769 20696\n25750 38629\n12491 18742\n92134 100000\n13374 20084\n16482 24787\n30356 45524\n67182 100000\n6445 9703\n59948 89948\n91006 100000\n45976 68936\n60892 91352\n42229 63350\n61643 92466\n41972 62963\n85091 100000\n96338 100000\n15760 23705\n67330 100000\n70280 100000\n31038 46589\n99147 100000\n96997 100000\n82346 100000\n1825 2743\n95968 100000\n50930 76352\n44613 66908\n91555 100000\n76698 100000\n7325 11013\n9108 13652\n18543 27867\n78863 100000\n94924 100000\n78145 100000\n17949 26967\n7419 11148\n12783 19181\n39976 59938\n61937 92916\n18646 28024\n67566 100000\n42030 63046\n24771 37166\n57288 85922\n59037 88549\n95973 100000\n17549 26371\n45453 68168\n67375 100000\n25104 37678\n935 1422\n11822 17746\n60213 90333\n79332 100000\n81402 100000\n4665 7023\n40529 60773\n28400 42591\n15376 23135\n82011 100000\n16856 25340\n51692 77467\n56547 84813\n49124 73630\n20595 30949\n37688 56513\n81586 100000\n24336 36522\n37624 56420\n85843 100000\n5093 7662\n27101 40628\n56140 84195\n95050 100000\n8418 12636\n56526 84780\n20520 30836\n59780 89695\n46918 70324\n38085 57110\n20569 30905\n67899 100000\n69297 100000\n38480 57705\n66008 99027\n88560 100000\n93619 100000\n80777 100000\n68035 100000\n84929 100000\n58560 87833\n7853 11798\n95121 100000\n19573 29431\n8022 12042\n58473 87712\n80436 100000\n57440 86155\n19575 29434\n32426 48652\n38052 57062\n90097 100000\n33626 50423\n56299 84440\n14577 21913\n60319 90492\n88284 100000\n23602 35414\n45198 67787\n84800 100000\n13620 20468\n638 974\n96198 100000\n32658 48984\n12647 18980\n49701 74501\n28184 42263\n253 390\n18968 28523\n72988 100000\n57728 86579\n41028 61530\n55635 83438\n71524 100000\n39287 58901\n75150 100000\n92614 100000\n73319 100000\n4963 7467\n58614 87913\n30978 46499\n71694 100000\n91038 100000\n72032 100000\n51241 76819\n91919 100000\n25282 37937\n32475 48721\n22030 33087\n31444 47177\n41135 61693\n78639 100000\n67545 100000\n75355 100000\n70008 100000\n52961 79375\n16673 25071\n26479 39723\n87184 100000\n5166 7768\n63402 95086\n39321 58956\n53800 80631\n57539 86300\n40496 60727\n90377 100000\n70851 100000\n89241 100000\n7402 11122\n57295 85934\n6196 9328\n59715 89594\n56942 85399\n95976 100000\n53937 80845\n74642 100000\n68804 100000\n51359 76986\n18498 27794\n67011 100000\n68741 100000\n13718 20622\n14038 21109\n74198 100000\n88022 100000\n65272 97898\n17795 26741\n64090 96118\n61884 92837\n75442 100000\n23214 34842\n85569 100000\n40119 60155\n71718 100000\n95633 100000\n92506 100000\n23708 35571\n93571 100000\n24051 36093\n51625 77366\n62509 93780\n18910 28436\n13292 19957\n9468 14196\n78397 100000\n4328 6515\n98070 100000\n81887 100000\n87003 100000\n14983 22539\n69136 100000\n63644 95445\n87696 100000\n98061 100000\n79737 100000\n93506 100000\n81084 100000\n67526 100000\n51621 77361\n1270 1925\n82470 100000\n52918 79310\n74690 100000\n89648 100000\n58804 88200\n4168 6274\n33639 50444\n44785 67167\n51380 77018\n90549 100000\n9783 14682\n61037 91568\n69513 100000\n89174 100000\n69599 100000\n94102 100000\n18750 28195\n69487 100000\n30057 45068\n4527 6812\n15832 23808\n53707 80493\n78474 100000\n82785 100000\n71257 100000\n43688 65530\n38294 57428\n13392 20115\n4947 7445\n79655 100000\n50755 76094\n94063 100000\n49169 73697\n26655 39989\n76505 100000\n19098 28714\n58120 87171\n453 693\n97625 100000\n20128 30260\n16618 24988\n93360 100000\n97463 100000\n82017 100000\n26482 39726\n90824 100000\n72501 100000\n99444 100000\n21439 32226\n89429 100000\n21242 31928\n25624 38433\n26237 39365\n72194 100000\n15271 22982\n62248 93380\n56889 85314\n44513 66759\n51716 77501\n53785 80606\n70236 100000\n12825 19243\n96030 100000\n73740 100000\n98515 100000\n91632 100000\n66667 100000\n70529 100000\n1181 1787\n78898 100000\n43660 65488\n54849 82236\n82307 100000\n70212 100000\n69770 100000\n11516 17285\n63275 94908\n95598 100000\n45712 68555\n90560 100000\n61251 91879\n21479 32289\n83722 100000\n23336 35020\n87778 100000\n40543 60798\n65608 98415\n54514 81724\n97363 100000\n18759 28208\n21405 32173\n96377 100000\n43651 65473\n8880 13324\n41848 62782\n83775 100000\n20238 30425\n47793 71624\n65335 98000\n50786 76137\n86139 100000\n38865 58273\n181 276\n44582 66860\n52530 78725\n91064 100000\n56756 85114\n96529 100000\n82918 100000\n26058 39098\n47041 70512\n28379 42563\n88371 100000\n65778 98676\n19292 28998\n58592 87879\n75929 100000\n20751 31188\n81283 100000\n31125 46711\n51825 77673\n49760 74598\n87763 100000\n26790 40178\n51365 76994\n39253 58849\n39549 59301\n32528 48798\n21167 31813\n55067 82575\n9172 13751\n92495 100000\n14285 21477\n25922 38894\n854 1298\n41070 61597\n54179 81204\n62848 94289\n22607 33934\n33176 49750\n11119 16692\n12238 18373\n34452 51668\n19819 29797\n84063 100000\n58758 88133\n75661 100000\n4606 6933\n58244 87358\n26037 39062\n52462 78626\n36792 55181\n60504 90765\n56697 85035\n69031 100000\n5177 7783\n94893 100000\n61368 92062\n43570 65358\n82601 100000\n17034 25590\n54989 82449\n24504 36767\n55192 82765\n83685 100000\n22089 33175\n47573 71293\n18879 28392\n25947 38929\n30525 45798\n28298 42439\n90544 100000\n49737 74560\n92750 100000\n48791 73129\n92310 100000\n698 1066\n17252 25932\n55784 83669\n50254 75334\n3952 5946\n67598 100000\n47410 71057\n7014 10545\n35863 53771\n43934 65894\n60781 91180\n57924 86867\n83281 100000\n85001 100000\n6257 9422\n72728 100000\n73280 100000\n3459 5219\n8885 13330\n38822 58208\n29300 43946\n79193 100000\n9814 14726\n28289 42425\n4466 6721\n52547 78750\n29033 43549\n27982 41967\n69843 100000\n14513 21817\n81207 100000\n55221 82810\n28986 43480\n85191 100000\n67217 100000\n2272 3415\n85737 100000\n56548 84815\n73821 100000\n93786 100000\n66081 99140\n76957 100000\n7044 10591\n40987 61467\n49823 74697\n91444 100000\n45738 68596\n4735 7128\n32876 49310\n11255 16889\n17241 25914\n22640 33985\n84871 100000\n68284 100000\n18092 27180\n53072 79542\n69679 100000\n68222 100000\n42688 64018\n39134 58658\n23304 34973\n58290 87432\n94576 100000\n36876 55295\n56075 84096\n36756 55124\n12538 18811\n64223 96324\n54660 81944\n41346 62017\n180 274\n62307 93471\n35012 52516\n80313 100000\n74419 100000\n2120 3180\n59410 89108\n64864 97282\n43780 65666\n17699 26592\n91288 100000\n45399 68094\n53219 79771\n37991 56968\n11085 16638\n65563 98347\n54406 81557\n47875 71738\n96987 100000\n18084 27169\n5966 8968\n45616 68417\n37643 56446\n59530 89304\n36212 54288\n12018 18038\n16227 24398\n48797 73138\n65773 98669\n51830 77679\n48746 73067\n11081 16631\n58226 87328\n22711 34088\n46882 70270\n29702 44538\n32657 48983\n23292 34954\n54385 81526\n24397 36615\n72256 100000\n11714 17587\n81580 100000\n92218 100000\n54423 81586\n275 422\n37714 56547\n8108 12173\n92794 100000\n22190 33326\n29137 43696\n91917 100000\n58786 88173\n10877 16319\n37049 55553\n74154 100000\n90096 100000\n93302 100000\n24234 36364\n58994 88482\n71782 100000\n61225 91845\n36016 53997\n75724 100000\n76993 100000\n4380 6596\n46803 70154\n51252 76832\n23683 35533\n14940 22475\n11846 17782\n91085 100000\n60613 90924\n49248 73810\n10581 15869\n37050 55555\n3782 5699\n90051 100000\n76738 100000\n29412 44117\n17003 25547\n27533 41288\n45692 68529\n34113 51149\n78971 100000\n60281 90433\n75568 100000\n30567 45863\n32429 48656\n99614 100000\n16650 25036\n35393 53073\n34717 52067\n21425 32204\n21570 32419\n78016 100000\n85904 100000\n87238 100000\n83695 100000\n99433 100000\n75677 100000\n4867 7320\n26855 40270\n35973 53933\n98665 100000\n79297 100000\n40854 61272\n99560 100000\n60948 91436\n27341 40984\n40070 60083\n48970 73397\n11200 16805\n43191 64779\n94913 100000\n98416 100000\n93071 100000\n48971 73399\n67588 100000\n4515 6794\n50231 75297\n41636 62452\n30743 46133\n99248 100000\n1476 2233\n11513 17280\n11568 17364\n7269 10929\n96492 100000\n12464 18704\n2856 4311\n25553 38330\n76452 100000\n96046 100000\n24354 36551\n88822 100000\n8700 13055\n51616 77354\n43742 65612\n86801 100000\n95287 100000\n76687 100000\n78809 100000\n85221 100000\n49236 73794\n33430 50130\n88145 100000\n1240 1879\n38293 57427\n85996 100000\n86870 100000\n35606 53383\n83211 100000\n76953 100000\n93061 100000\n28847 43272\n51302 76903\n69764 100000\n25848 38781\n98030 100000\n99177 100000\n76808 100000\n2080 3122\n8543 12812\n89887 100000\n90515 100000\n57372 86055\n64355 96520\n32478 48725\n78985 100000\n83727 100000\n47654 71419\n75084 100000\n52302 78386\n87846 100000\n45531 68290\n64484 96711\n65110 97656\n67829 100000\n22731 34114\n44098 66136\n22925 34401\n28319 42470\n24848 37285\n93414 100000\n57684 86517\n7563 11368\n83882 100000\n25758 38638\n58721 88075\n29924 44873\n26651 39982\n89985 100000\n6627 9971\n99715 100000\n4405 6631\n30776 46187\n17928 26937\n20534 30854\n54126 81126\n36252 54351\n11815 17736\n53880 80754\n19488 29304\n50604 75860\n26860 40276\n35127 52683\n28059 42082\n22039 33099\n39225 58803\n89109 100000\n3115 4698\n21308 32029\n7645 11489\n28681 43017\n35516 53253\n3099 4673\n89226 100000\n55080 82592\n61560 92343\n53113 79601\n39012 58483\n45387 68076\n78746 100000\n49240 73799\n77424 100000\n26974 40437\n68985 100000\n77927 100000\n60278 90428\n63879 95796\n5697 8562\n12052 18094\n73034 100000\n23728 35603\n38602 57884\n17482 26270\n16642 25024\n22328 33516\n524 804\n65262 97884\n59630 89460\n5950 8944\n36552 54803\n3688 5554\n73047 100000\n39655 59462\n49974 74911\n53103 79587\n41355 62030\n78378 100000\n39689 59517\n9875 14822\n4433 6674\n77063 100000\n53901 80789\n63787 95652\n87714 100000\n62216 93332\n22557 33859\n48738 73052\n76800 100000\n66254 99397\n85862 100000\n49400 74038\n24248 36384\n5849 8794\n50749 76084\n59064 88588\n28667 42996\n21763 32693\n76665 100000\n26472 39714\n17164 25794\n41585 62374\n73967 100000\n953 1447\n94067 100000\n77357 100000\n415 636\n23363 35061\n17618 26471\n81483 100000\n99978 100000\n53626 80376\n75303 100000\n834 1269\n45969 68926\n10460 15699\n43863 65783\n50805 76166\n50467 75658\n14606 21959\n37987 56963\n58835 88244\n86424 100000\n76042 100000\n66419 99645\n96246 100000\n5591 8406\n40446 60649\n31534 47312\n15326 23063\n40703 61034\n67061 100000\n31908 47873\n68811 100000\n14348 21574\n71335 100000\n19708 29633\n34792 52182\n56630 84936\n84998 100000\n49196 73735\n94446 100000\n77576 100000\n57481 86215\n89298 100000\n59687 89549\n6985 10502\n7851 11795\n14313 21518\n92491 100000\n82520 100000\n2795 4217\n72701 100000\n88705 100000\n84496 100000\n63059 94599\n6494 9774\n59374 89057\n10421 15639\n23349 35041\n30538 45818\n68973 100000\n960 1457\n91641 100000\n27901 41846\n88217 100000\n25777 38670\n69215 100000\n6599 9926\n68688 100000\n53333 79949\n12654 18992\n63897 95824\n34888 52333\n32513 48777\n76158 100000\n50423 75592\n23048 34588\n62837 94275\n6902 10374\n63043 94574\n60204 90321\n1570 2377\n99190 100000\n93418 100000\n35456 53170\n79417 100000\n33373 50040\n21373 32123\n15381 23143\n87048 100000\n67530 100000\n38275 57400\n88151 100000\n89270 100000\n61420 92136\n64298 96437\n28745 43118\n93796 100000\n16716 25135\n63004 94515\n17912 26911\n58518 87774\n73311 100000\n43757 65634\n77532 100000\n51662 77420\n17598 26439\n58498 87747\n34525 51778\n67341 100000\n63489 95217\n33119 49664\n67405 100000\n34810 52211\n56684 85015\n208 320\n20020 30100\n24957 37448\n25329 38006\n18431 27690\n82449 100000\n86244 100000\n45910 68846\n81106 100000\n47009 70464\n1841 2771\n59335 88998\n73975 100000\n15446 23245\n92161 100000\n14880 22383\n45293 67938\n88948 100000\n2724 4107\n95744 100000\n57669 86498\n23709 35573\n52077 78056\n29684 44509\n85298 100000\n85341 100000\n50141 75155\n12513 18774\n86509 100000\n64051 96061\n18466 27742\n7100 10677\n39681 59503\n22209 33350\n88395 100000\n7497 11265\n26770 40147\n29172 43749\n60061 90113\n79774 100000\n80877 100000\n63642 95442\n98036 100000\n2736 4125\n98256 100000\n78246 100000\n3325 5018\n13082 19644\n3687 5553\n53786 80608\n49257 73823\n5768 8665\n30866 46321\n30173 45250\n23893 35852\n68957 100000\n92088 100000\n46665 69954\n38243 57348\n83056 100000\n20465 30757\n36509 54740\n1466 2219\n75016 100000\n4663 7020\n36429 54621\n72171 100000\n73722 100000\n32108 48177\n67619 100000\n45522 68275\n98718 100000\n12963 19456\n35720 53551\n59757 89662\n64384 96563\n11 20\n72484 100000\n29639 44443\n87873 100000\n97879 100000\n22935 34417\n92941 100000\n4597 6922\n41844 62776\n64501 96734\n18862 28368\n19018 28597\n66777 100000\n94365 100000\n7127 10718\n80744 100000\n22566 33874\n73341 100000\n75023 100000\n99242 100000\n84857 100000\n15838 23815\n34957 52429\n32289 48441\n39640 59440\n69916 100000\n45356 68030\n51519 77209\n87373 100000\n93196 100000\n35762 53614\n74974 100000\n40589 60868\n70211 100000\n78780 100000\n42232 63354\n36593 54870\n1592 2401\n88249 100000\n8834 13256\n11618 17436\n26503 39758\n61357 92045\n80446 100000\n70845 100000\n56510 84755\n20049 30142\n42827 64234\n70367 100000\n56078 84100\n29020 43529\n24073 36123\n21431 32214\n23393 35105\n71012 100000\n96262 100000\n49942 74863\n50451 75634\n54844 82227\n94509 100000\n95534 100000\n33275 49897\n64730 97085\n24857 37296\n88199 100000\n48291 72365\n59338 89001\n12723 19091\n82364 100000\n90849 100000\n18902 28425\n32557 48839\n13526 20324\n95297 100000\n90130 100000\n52183 78208\n6351 9570\n20498 30807\n61454 92187\n82898 100000\n87812 100000\n4465 6719\n40318 60455\n665 1014\n2419 3637\n23444 35181\n24282 36440\n72828 100000\n60939 91419\n90193 100000\n46573 69815\n52323 78416\n62409 93630\n97953 100000\n61836 92762\n6756 10160\n490 750\n72861 100000\n98838 100000\n73331 100000\n72241 100000\n13947 20970\n82558 100000\n90624 100000\n26797 40188\n94816 100000\n13788 20724\n73766 100000\n62099 93148\n54110 81099\n29212 43807\n82889 100000\n91154 100000\n24838 37269\n69771 100000\n6816 10245\n82068 100000\n73451 100000\n71618 100000\n82388 100000\n50605 75861\n5740 8621\n13341 20036\n86333 100000\n27871 41803\n41124 61674\n59359 89036\n43706 65561\n43735 65603\n49888 74790\n28457 42679\n3744 5641\n78114 100000\n55113 82648\n40952 61417\n38070 57086\n96055 100000\n64052 96063\n37722 56560\n73611 100000\n38135 57181\n2377 3575\n27607 41397\n10671 16002\n61820 92734\n72372 100000\n86392 100000\n75343 100000\n62147 93218\n98954 100000\n30699 46067\n38595 57873\n54223 81268\n23238 34872\n86641 100000\n29525 44280\n33315 49956\n51109 76622\n87771 100000\n24555 36840\n98908 100000\n2664 4013\n83144 100000\n88907 100000\n23248 34887\n73323 100000\n14213 21373\n58235 87343\n80816 100000\n16621 24992\n35694 53516\n72144 100000\n38617 57906\n8326 12500\n70429 100000\n59393 89083\n95646 100000\n61207 91819\n28221 42320\n31943 47925\n34285 51407\n68411 100000\n12996 19511\n8534 12800\n93732 100000\n43392 65092\n8050 12083\n2287 3440\n35128 52684\n70156 100000\n78600 100000\n45405 68102\n76579 100000\n94819 100000\n30664 46011\n68235 100000\n17892 26880\n37001 55480\n68930 100000\n40137 60184\n62727 94103\n41984 62979\n7610 11435\n99690 100000\n61097 91655\n96355 100000\n95405 100000\n91156 100000\n775 1181\n40324 60464\n85628 100000\n56898 85327\n68627 100000\n32365 48559\n69506 100000\n43700 65550\n94694 100000\n59139 88702\n83707 100000\n92840 100000\n24318 36494\n39266 58868\n37191 55763\n45473 68203\n92068 100000\n13484 20257\n68576 100000\n91123 100000\n33602 50386\n18840 28330\n34634 51940\n46490 69691\n3954 5949\n30013 45004\n80583 100000\n37581 56347\n7213 10848\n83488 100000\n65942 98928\n92531 100000\n69710 100000\n85433 100000\n95793 100000\n29175 43752\n37033 55530\n8477 12721\n20118 30243\n82133 100000\n96945 100000\n64108 96147\n938 1427\n91099 100000\n80507 100000\n35888 53807\n83012 100000\n54736 82063\n95133 100000\n54396 81541\n40408 60592\n28709 43058\n50145 75161\n79363 100000\n19150 28796\n86348 100000\n16055 24140\n28736 43103\n61777 92669\n62492 93755\n28965 43450\n58623 87927\n17725 26628\n64024 96018\n84374 100000\n30451 45682\n27453 41168\n38866 58275\n73660 100000\n48191 72213\n35096 52634\n59183 88770\n54240 81290\n79410 100000\n91605 100000\n13731 20641\n9164 13738\n94106 100000\n46148 69199\n59312 88963\n64349 96510\n55023 82508\n97122 100000\n76070 100000\n58231 87337\n4709 7087\n22797 34210\n37258 55869\n56672 84994\n68833 100000\n80844 100000\n48933 73345\n15718 23643\n34746 52115\n14974 22525\n60893 91354\n2503 3774\n54494 81694\n35266 52883\n78197 100000\n94574 100000\n45912 68848\n16887 25380\n83209 100000\n82399 100000\n33773 50644\n98052 100000\n71044 100000\n30020 45017\n25572 38356\n12134 18212\n635 970\n76650 100000\n15011 22585\n23008 34520\n78303 100000\n55228 82819\n30154 45224\n70082 100000\n37570 56330\n35140 52702\n55440 83137\n59367 89045\n81810 100000\n22726 34108\n42005 63009\n66833 100000\n123 190\n7889 11851\n78888 100000\n62807 94227\n12493 18745\n67843 100000\n64300 96440\n36444 54644\n4136 6223\n48599 72840\n73806 100000\n55217 82804\n8345 12531\n37067 55579\n66341 99527\n96032 100000\n10322 15494\n47385 71028\n2041 3067\n47315 70923\n83360 100000\n43901 65842\n29383 44077\n92400 100000\n97126 100000\n98942 100000\n64095 96126\n95522 100000\n15375 23133\n99974 100000\n63770 95625\n13185 19804\n28783 43175\n72338 100000\n72913 100000\n25021 37544\n69872 100000\n14499 21796\n10743 16113\n91365 100000\n63332 94988\n52026 77978\n96944 100000\n4807 7236\n40370 60534\n32842 49260\n5426 8154\n47513 71201\n48595 72834\n37986 56962\n12224 18354\n30181 45265\n75253 100000\n17734 26643\n76711 100000\n6395 9638\n5484 8243\n40306 60438\n8990 13481\n3830 5764\n75281 100000\n34762 52137\n37225 55815\n75877 100000\n15984 24031\n21057 31653\n9000 13496\n7646 11491\n92919 100000\n10469 15710\n98327 100000\n9562 14347\n47012 70469\n77457 100000\n51790 77617\n73939 100000\n36996 55472\n97530 100000\n75625 100000\n91199 100000\n71985 100000\n30559 45850\n24088 36149\n98958 100000\n16044 24124\n6188 9317\n66344 99531\n87607 100000\n14342 21565\n92767 100000\n12946 19433\n41478 62214\n18323 27529\n81381 100000\n82735 100000\n70765 100000\n7184 10805\n81997 100000\n68760 100000\n26439 39665\n17342 26070\n86754 100000\n89593 100000\n2112 3168\n49728 74547\n32994 49484\n61201 91809\n91232 100000\n92386 100000\n1909 2872\n37326 55967\n66110 99185\n15598 23468\n42178 63267\n96741 100000\n36635 54935\n16176 24319\n12484 18730\n62983 94483\n83365 100000\n59646 89486\n95851 100000\n36013 53993\n34960 52433\n77438 100000\n30493 45744\n13160 19766\n63469 95187\n72305 100000\n98895 100000\n30269 45395\n14850 22341\n16216 24382\n61467 92207\n47994 71925\n39864 59770\n21101 31720\n9148 13714\n1962 2952\n96421 100000\n13188 19808\n19882 29891\n3254 4907\n51329 76941\n76890 100000\n18772 28226\n19836 29823\n21044 31636\n26925 40369\n32027 48054\n37410 56091\n6580 9897\n26489 39737\n78518 100000\n91307 100000\n67390 100000\n78343 100000\n5296 7963\n48667 72939\n45114 67661\n1784 2687\n67831 100000\n66793 100000\n45650 68466\n84794 100000\n92416 100000\n58116 87165\n6170 9290\n78862 100000\n73149 100000\n98509 100000\n38691 58021\n77382 100000\n77204 100000\n5324 8005\n77529 100000\n54376 81509\n38992 58453\n77738 100000\n71604 100000\n29162 43735\n35038 52551\n63115 94683\n49348 73963\n1022 1544\n73683 100000\n47992 71922\n26692 40037\n60481 90736\n43932 65891\n68504 100000\n18749 28193\n1782 2683\n73486 100000\n11020 16537\n92384 100000\n13033 19569\n68424 100000\n49765 74605\n94746 100000\n40905 61345\n46869 70250\n25189 37802\n49017 73469\n84887 100000\n92560 100000\n26581 39875\n84433 100000\n89576 100000\n70455 100000\n93142 100000\n88519 100000\n12506 18765\n87538 100000\n72810 100000\n32255 48394\n49976 74915\n5810 8732\n67494 100000\n74623 100000\n66813 100000\n3227 4871\n41779 62674\n71090 100000\n34118 51156\n36621 54914\n7858 11804\n28537 42797\n63761 95609\n51651 77403\n60816 91233\n90110 100000\n71032 100000\n78120 100000\n77368 100000\n9480 14218\n15694 23610\n70973 100000\n28809 43214\n11434 17162\n69743 100000\n62168 93253\n39462 59164\n62091 93137\n18314 27517\n11420 17138\n36420 54608\n66530 99812\n1869 2814\n55463 83173\n44792 67176\n11871 17819\n92513 100000\n11192 16794\n75483 100000\n53742 80544\n9934 14916\n8435 12660\n28384 42570\n63132 94707\n83758 100000\n21641 32514\n14301 21502\n60976 91475\n5625 8456\n43779 65665\n60592 90896\n72573 100000\n96850 100000\n35111 52657\n91180 100000\n20130 30263\n18268 27445\n39365 59021\n78146 100000\n53293 79885\n92695 100000\n11625 17447\n68289 100000\n16654 25042\n17429 26194\n32329 48500\n47152 70679\n67408 100000\n757 1155\n71706 100000\n19559 29410\n58315 87472\n12361 18552\n82499 100000\n92879 100000\n32066 48115\n77861 100000\n81261 100000\n23167 34769\n70547 100000\n71061 100000\n25924 38897\n88449 100000\n2869 4329\n42350 63520\n32780 49167\n46334 69470\n29238 43847\n6060 9118\n15640 23533\n89409 100000\n4205 6329\n57164 85727\n38146 57201\n56382 84567\n11392 17097\n25037 37569\n46079 69097\n71710 100000\n29390 44086\n83837 100000\n78748 100000\n75738 100000\n47252 70828\n57913 86851\n65146 97711\n86133 100000\n62927 94400\n82158 100000\n3087 4656\n51595 77322\n46427 69602\n66615 99934\n93053 100000\n58128 87184\n8655 12985\n29027 43540\n72922 100000\n93452 100000\n40068 60081\n30976 46497\n82363 100000\n46540 69768\n13878 20864\n82814 100000\n57064 85580\n73129 100000\n47480 71155\n11767 17663\n63339 94996\n82095 100000\n18698 28112\n23645 35474\n30030 45032\n11107 16674\n9803 14711\n17555 26378\n33230 49831\n70317 100000\n24896 37352\n43071 64595\n91995 100000\n29528 44284\n88559 100000\n78004 100000\n2352 3537\n72995 100000\n4762 7172\n19315 29034\n56906 85341\n34736 52096\n28018 42018\n27777 41658\n96994 100000\n41780 62676\n13489 20265\n77242 100000\n90336 100000\n38715 58056\n4819 7252\n60693 91045\n71450 100000\n28029 42036\n74161 100000\n160 244\n53596 80326\n65083 97620\n9493 14240\n45139 67699\n97694 100000\n68730 100000\n7046 10594\n56812 85203\n25151 37747\n26738 40098\n51325 76936\n25035 37565\n3186 4807\n8876 13318\n39783 59651\n21620 32482\n88053 100000\n11071 16615\n18073 27154\n50952 76386\n50286 75385\n4140 6229\n16877 25366\n52111 78102\n29558 44324\n29428 44138\n80200 100000\n65479 98216\n92024 100000\n10708 16057\n81916 100000\n16731 25156\n7350 11050\n67764 100000\n39652 59458\n62575 93875\n42375 63558\n60523 90793\n54413 81569\n23801 35709\n86087 100000\n64869 97289\n10789 16181\n70015 100000\n13933 20949\n77224 100000\n80683 100000\n40403 60584\n69948 100000\n25456 38195\n51789 77615\n69874 100000\n48916 73320\n48470 72637\n30945 46445\n57326 85983\n9989 14992\n68686 100000\n87318 100000\n36518 54753\n49204 73749\n42668 63989\n74510 100000\n9195 13787\n56364 84536\n83403 100000\n59500 89260\n21460 32259\n24133 36221\n41351 62024\n13656 20524\n26403 39610\n40715 61054\n5987 8997\n43033 64536\n27963 41942\n30837 46276\n10950 16424\n50561 75794\n99183 100000\n8818 13232\n78158 100000\n94612 100000\n82955 100000\n13318 20000\n86435 100000\n66521 99798\n17976 27003\n80249 100000\n3567 5373\n49581 74318\n91019 100000\n38499 57737\n85772 100000\n84389 100000\n54380 81517\n15510 23337\n22041 33102\n94755 100000\n96833 100000\n81960 100000\n83593 100000\n49669 74456\n86496 100000\n90159 100000\n40169 60236\n79063 100000\n15017 22591\n78764 100000\n95236 100000\n27724 41576\n84694 100000\n82002 100000\n72956 100000\n27551 41314\n35939 53880\n83381 100000\n53285 79872\n36749 55112\n17982 27014\n10309 15475\n22590 33909\n89958 100000\n63942 95887\n1377 2084\n69092 100000\n58827 88230\n24263 36408\n78559 100000\n99431 100000\n39537 59281\n63349 95011\n18723 28151\n44192 66280\n52384 78505\n80743 100000\n20991 31556\n25729 38595\n40996 61481\n90467 100000\n29805 44696\n63230 94842\n92137 100000\n26538 39812\n36844 55250\n9823 14741\n35359 53019\n16271 24462\n33154 49719\n96339 100000\n47648 71410\n17199 25851\n71617 100000\n35602 53378\n1258 1906\n38330 57479\n66301 99469\n18930 28468\n3552 5350\n29615 44405\n33044 49558\n77460 100000\n43426 65142\n45256 67880\n36671 54988\n10556 15832\n9575 14366\n12762 19151\n4569 6879\n81517 100000\n99934 100000\n81889 100000\n82660 100000\n51985 77915\n61708 92561\n29829 44729\n70749 100000\n48513 72705\n56479 84711\n5947 8938\n49786 74638\n75654 100000\n39997 59969\n13804 20751\n9225 13836\n64552 96814\n17735 26644\n15952 23985\n68400 100000\n60750 91132\n49287 73871\n3517 5297\n19057 28651\n59515 89283\n52137 78138\n35897 53821\n4750 7149\n70368 100000\n24533 36809\n57708 86550\n62059 93096\n61373 92070\n10454 15689\n76292 100000\n52602 78836\n80366 100000\n57050 85559\n53266 79840\n93840 100000\n51323 76934\n73211 100000\n94821 100000\n88124 100000\n73271 100000\n89776 100000\n99271 100000\n57755 86620\n99629 100000\n98360 100000\n14425 21687\n72549 100000\n44154 66223\n57715 86563\n7829 11760\n33850 50765\n27740 41602\n77003 100000\n38624 57914\n66507 99778\n56346 84509\n93434 100000\n22644 33992\n38730 58077\n20076 30180\n53077 79550\n3164 4774\n35662 53467\n58071 87095\n83642 100000\n14014 21070\n59550 89333\n33215 49811\n42840 64254\n24808 37224\n87385 100000\n4062 6108\n69029 100000\n52950 79359\n31316 46993\n2012 3026\n60614 90926\n75741 100000\n15773 23721\n27323 40959\n67702 100000\n75944 100000\n97825 100000\n54268 81336\n32383 48583\n33953 50916\n60425 90653\n246 379\n42826 64233\n74404 100000\n48883 73269\n29039 43556\n41784 62682\n64714 97062\n84202 100000\n16222 24390\n7647 11493\n25789 38691\n60639 90963\n38138 57185\n36451 54655\n96414 100000\n75570 100000\n26462 39699\n30915 46396\n99889 100000\n34551 51817\n40256 60365\n47529 71225\n32639 48956\n3881 5840\n3336 5034\n25941 38920\n22276 33439\n51568 77281\n12431 18657\n28770 43157\n89230 100000\n64109 96149\n56280 84408\n95347 100000\n35171 52751\n50775 76120\n83825 100000\n49882 74783\n28317 42466\n56991 85473\n29850 44761\n46656 69939\n98833 100000\n92223 100000\n27762 41634\n42048 63073\n81093 100000\n20487 30790\n7371 11078\n75968 100000\n38358 57518\n53751 80559\n86838 100000\n28324 42476\n7928 11913\n54714 82025\n93764 100000\n49557 74283\n10886 16333\n98099 100000\n4838 7277\n48946 73365\n51997 77933\n70225 100000\n72992 100000\n55593 83374\n42778 64158\n10646 15968\n28741 43110\n4152 6249\n35455 53169\n19730 29664\n66029 99059\n35068 52596\n8652 12980\n60615 90928\n78022 100000\n51138 76665\n90241 100000\n17339 26065\n14952 22492\n61774 92664\n30033 45036\n96415 100000\n59961 89968\n49256 73822\n82474 100000\n52408 78545\n94284 100000\n57944 86898\n42479 63716\n16958 25483\n52106 78094\n8483 12729\n34808 52208\n88484 100000\n35517 53255\n73506 100000\n56441 84654\n23555 35342\n74913 100000\n23608 35422\n97510 100000\n62972 94466\n23961 35960\n87726 100000\n1527 2311\n68602 100000\n32265 48409\n27356 41011\n10277 15428\n1447 2190\n72012 100000\n56823 85220\n37527 56264\n42188 63285\n56287 84419\n98614 100000\n24108 36183\n16355 24589\n19367 29120\n15613 23490\n57641 86450\n48404 72534\n47020 70481\n54818 82188\n35622 53408\n13263 19917\n95786 100000\n24751 37135\n20939 31477\n11049 16580\n5836 8773\n97587 100000\n55093 82615\n31903 47866\n66568 99862\n3740 5634\n35953 53903\n14503 21802\n68640 100000\n20262 30460\n90243 100000\n77702 100000\n81949 100000\n57178 85750\n52426 78572\n77658 100000\n59720 89603\n58932 88391\n19895 29910\n64983 97468\n20678 31076\n90340 100000\n64172 96247\n60804 91213\n72134 100000\n65809 98723\n22742 34131\n93162 100000\n82292 100000\n38062 57075\n85353 100000\n4234 6373\n78174 100000\n56117 84159\n14976 22529\n80319 100000\n72874 100000\n60870 91315\n36466 54677\n99002 100000\n27432 41133\n60538 90816\n82197 100000\n80308 100000\n73763 100000\n26782 40166\n48732 73041\n87548 100000\n79894 100000\n31005 46538\n58122 87173\n12796 19201\n42439 63656\n24253 36392\n78908 100000\n2172 3263\n52358 78469\n57439 86154\n62946 94427\n82009 100000\n18730 28162\n31791 47701\n45106 67649\n87742 100000\n53612 80355\n33122 49669\n34680 52013\n9205 13804\n29012 43516\n90583 100000\n6012 9039\n26988 40456\n66246 99387\n12453 18687\n22301 33478\n86907 100000\n46528 69750\n7566 11372\n79659 100000\n84722 100000\n23215 34844\n66402 99620\n67186 100000\n28352 42521\n69003 100000\n85630 100000\n43378 65069\n45053 67571\n32606 48906\n47543 71248\n71125 100000\n78950 100000\n69310 100000\n52560 78770\n60054 90105\n42468 63699\n890 1351\n10597 15895\n7577 11389\n94234 100000\n75170 100000\n10775 16158\n80315 100000\n17395 26146\n48621 72875\n67783 100000\n95421 100000\n24247 36383\n7240 10885\n83689 100000\n86797 100000\n59099 88638\n9332 14002\n26832 40237\n92998 100000\n40744 61102\n55750 83614\n18126 27230\n33167 49738\n81426 100000\n51488 77167\n43550 65330\n59193 88784\n83018 100000\n29503 44248\n47133 70652\n47368 71002\n45545 68312\n3980 5983\n38994 58456\n98744 100000\n41509 62262\n91580 100000\n29581 44355\n14442 21712\n52343 78444\n11626 17449\n10136 15215\n69214 100000\n19368 29121\n80310 100000\n60483 90738\n99493 100000\n49628 74388\n70371 100000\n12155 18246\n59339 89002\n96277 100000\n66792 100000\n67638 100000\n84289 100000\n8396 12604\n66657 99996\n8249 12386\n59953 89956\n70012 100000\n75195 100000\n697 1064\n7976 11979\n25352 38038\n61908 92872\n20907 31431\n67628 100000\n30106 45146\n5465 8214\n19699 29618\n11397 17106\n38357 57517\n69653 100000\n19446 29237\n59286 88926\n91744 100000\n63533 95278\n16517 24837\n85151 100000\n98485 100000\n34974 52457\n12908 19373\n68533 100000\n52001 77939\n76700 100000\n76976 100000\n65423 98138\n78105 100000\n39961 59913\n27358 41013\n58245 87359\n92485 100000\n78742 100000\n59653 89497\n67036 100000\n70453 100000\n90307 100000\n77934 100000\n66336 99520\n75802 100000\n59584 89386\n39758 59613\n17035 25591\n57603 86392\n41601 62397\n68319 100000\n33674 50495\n27364 41022\n8332 12508\n45461 68181\n40916 61362\n47317 70926\n82477 100000\n72189 100000\n23259 34905\n39834 59727\n20387 30647\n16814 25275\n97516 100000\n32960 49435\n38172 57244\n38632 57927\n76842 100000\n33161 49729\n30676 46032\n29507 44254\n57252 85864\n44484 66712\n36865 55280\n40052 60053\n21491 32306\n75468 100000\n72769 100000\n65264 97886\n95004 100000\n83178 100000\n82899 100000\n61240 91865\n48415 72551\n43925 65881\n73571 100000\n77409 100000\n8714 13074\n3098 4672\n73773 100000\n95081 100000\n96237 100000\n96855 100000\n5840 8779\n49037 73501\n6183 9309\n48105 72086\n81462 100000\n57658 86479\n54703 82009\n80227 100000\n49653 74431\n90102 100000\n63329 94984\n45014 67507\n51336 76952\n73636 100000\n39892 59811\n23052 34595\n82139 100000\n44314 66460\n76916 100000\n85594 100000\n54893 82299\n49918 74831\n61582 92374\n10140 15220\n423 648\n71542 100000\n7594 11414\n40842 61254\n58258 87381\n25333 38013\n28244 42354\n19411 29185\n8335 12514\n90043 100000\n2641 3979\n85720 100000\n71788 100000\n77509 100000\n78544 100000\n50168 75199\n54651 81926\n11709 17581\n58005 86992\n82225 100000\n82892 100000\n2813 4244\n73431 100000\n99822 100000\n2196 3300\n37585 56354\n21135 31767\n1433 2169\n84305 100000\n85824 100000\n74150 100000\n79176 100000\n3938 5929\n24959 37452\n7223 10863\n22229 33377\n97413 100000\n98028 100000\n45077 67610\n86529 100000\n3425 5170\n82072 100000\n14562 21891\n38945 58384\n59239 88854\n87089 100000\n38556 57820\n18315 27518\n48166 72177\n61793 92691\n55567 83337\n27103 40631\n1468 2222\n56746 85099\n42415 63621\n27868 41798\n90233 100000\n55071 82581\n7192 10817\n37821 56711\n49057 73531\n62067 93106\n99539 100000\n55378 83044\n19312 29028\n16975 25509\n73481 100000\n91542 100000\n99340 100000\n55156 82712\n33816 50714\n89628 100000\n22802 34219\n47664 71434\n10728 16089\n89321 100000\n50355 75489\n36929 55373\n77701 100000\n45313 67965\n60758 91147\n25688 38525\n21841 32813\n24414 36639\n19684 29596\n69490 100000\n76629 100000\n2911 4393\n86931 100000\n47858 71714\n51063 76550\n1364 2066\n12153 18242\n24755 37141\n81649 100000\n57740 86598\n62057 93093\n18409 27656\n24299 36465\n78164 100000\n50257 75338\n84601 100000\n79591 100000\n32825 49236\n67372 100000\n19504 29327\n31937 47915\n18224 27383\n90878 100000\n7495 11261\n98786 100000\n5029 7562\n80041 100000\n68626 100000\n61971 92970\n80172 100000\n85659 100000\n7986 11994\n17968 26993\n83693 100000\n5872 8830\n93182 100000\n12534 18805\n10360 15548\n76419 100000\n44262 66384\n97631 100000\n41756 62639\n74414 100000\n21699 32592\n24701 37057\n9278 13917\n29784 44660\n54948 82383\n43434 65154\n70203 100000\n20439 30717\n99608 100000\n85800 100000\n93317 100000\n29016 43522\n64289 96422\n32973 49453\n65114 97661\n56046 84054\n22710 34086\n54271 81341\n67225 100000\n5216 7842\n29120 43671\n73557 100000\n31516 47287\n16524 24847\n6893 10361\n6624 9966\n94483 100000\n65068 97597\n74 115\n24187 36297\n18580 27923\n61690 92536\n21680 32567\n83229 100000\n35260 52875\n16997 25539\n17078 25657\n28345 42509\n41360 62038\n96767 100000\n40553 60810\n40729 61079\n14610 21966\n1831 2754\n47136 70655\n51829 77678\n64470 96691\n11456 17194\n84970 100000\n28149 42211\n94517 100000\n28820 43230\n27602 41388\n99621 100000\n63278 94912\n33126 49675\n98380 100000\n37749 56603\n82458 100000\n41591 62384\n72568 100000\n97915 100000\n83212 100000\n49650 74425\n84145 100000\n22126 33230\n97029 100000\n52265 78328\n48400 72527\n40783 61166\n83411 100000\n90114 100000\n95118 100000\n91625 100000\n57778 86653\n412 631\n95138 100000\n18354 27574\n25322 37995\n94558 100000\n20824 31306\n6519 9809\n10426 15648\n7743 11633\n58101 87139\n21151 31790\n19153 28799\n63724 95559\n32841 49259\n52165 78180\n93387 100000\n98375 100000\n63663 95472\n58283 87420\n17083 25665\n25198 37816\n54269 81337\n4692 7062\n57610 86403\n35154 52723\n13654 20522\n92802 100000\n47030 70496\n90003 100000\n58088 87121\n96029 100000\n2184 3284\n59596 89407\n53877 80749\n5651 8494\n36998 55475\n4274 6433\n23983 35996\n44822 67218\n28405 42597\n7452 11198\n77043 100000\n53223 79776\n27257 40863\n50705 76015\n31214 46852\n49321 73921\n84708 100000\n89971 100000\n64762 97130\n95827 100000\n46117 69152\n35797 53669\n95958 100000\n38869 58279\n28559 42831\n43725 65591\n69002 100000\n68288 100000\n99077 100000\n79029 100000\n90633 100000\n98913 100000\n55838 83740\n82322 100000\n51267 76854\n75359 100000\n25584 38375\n89116 100000\n26031 39053\n16796 25246\n85662 100000\n81545 100000\n3613 5439\n45186 67772\n2956 4464\n22050 33115\n73168 100000\n46463 69653\n52668 78936\n81216 100000\n85609 100000\n1399 2116\n88736 100000\n15897 23907\n10286 15442\n46993 70437\n59623 89448\n68185 100000\n16188 24339\n76076 100000\n44134 66196\n75909 100000\n5720 8595\n65284 97919\n43190 64778\n40451 60657\n18717 28141\n35091 52627\n50383 75531\n85111 100000\n26063 39105\n80221 100000\n36261 54365\n80622 100000\n63965 95919\n34819 52223\n15251 22949\n35684 53500\n86140 100000\n90298 100000\n72816 100000\n71993 100000\n70140 100000\n96077 100000\n4398 6622\n10213 15330\n34852 52278\n36690 55014\n4511 6788\n73442 100000\n10727 16088\n68233 100000\n73445 100000\n55560 83326\n29669 44487\n39890 59808\n2339 3520\n93111 100000\n27062 40570\n28606 42899\n30452 45684\n15027 22608\n59938 89930\n67099 100000\n61469 92210\n64468 96688\n96504 100000\n80968 100000\n45564 68340\n74307 100000\n60027 90064\n3152 4754\n73483 100000\n95465 100000\n17141 25757\n11786 17694\n73418 100000\n18813 28292\n12355 18542\n68229 100000\n20485 30786\n46504 69712\n22358 33558\n61111 91677\n29127 43681\n2406 3615\n63805 95676\n50477 75673\n66923 100000\n95268 100000\n60460 90706\n45510 68256\n70666 100000\n23896 35857\n80577 100000\n83003 100000\n70550 100000\n311 476\n50744 76078\n37398 56071\n74480 100000\n21747 32669\n92645 100000\n98986 100000\n50999 76453\n14391 21637\n56062 84077\n61175 91774\n22297 33472\n98750 100000\n85084 100000\n38522 57770\n50795 76150\n83636 100000\n9864 14804\n6029 9064\n66616 99936\n61682 92524\n12958 19449\n83607 100000\n33708 50544\n70041 100000\n69783 100000\n31450 47186\n87375 100000\n91567 100000\n77745 100000\n78502 100000\n79257 100000\n14613 21970\n46914 70318\n40972 61447\n22065 33136\n2386 3588\n69242 100000\n72750 100000\n65409 98118\n15719 23645\n66684 100000\n45496 68238\n98443 100000\n95892 100000\n33070 49596\n75100 100000\n70133 100000\n92037 100000\n68193 100000\n40054 60057\n21319 32045\n96247 100000\n81322 100000\n52014 77958\n17765 26693\n37352 56003\n12877 19325\n36734 55088\n21489 32303\n45521 68273\n38774 58143\n19477 29287\n81884 100000\n78819 100000\n7988 11996\n79199 100000\n2470 3719\n42691 64023\n48157 72164\n68493 100000\n48440 72592\n83822 100000\n81958 100000\n15908 23921\n99413 100000\n48574 72800\n59263 88892\n79780 100000\n74712 100000\n91075 100000\n6269 9440\n91888 100000\n80252 100000\n48734 73044\n39377 59039\n87371 100000\n59508 89273\n47990 71919\n21463 32263\n94685 100000\n67315 100000\n90921 100000\n39374 59034\n84597 100000\n17208 25862\n44476 66697\n34028 51023\n67165 100000\n62472 93724\n85803 100000\n51477 77151\n3926 5910\n72914 100000\n18576 27917\n75419 100000\n61313 91978\n51838 77691\n42176 63264\n52712 79001\n35835 53724\n62264 93404\n66947 100000\n86871 100000\n68439 100000\n23419 35145\n23274 34928\n72311 100000\n68988 100000\n81931 100000\n7561 11364\n64321 96469\n13191 19813\n15369 23127\n66961 100000\n24472 36725\n31947 47930\n48045 71993\n54810 82175\n34839 52256\n42508 63758\n91309 100000\n16329 24551\n33151 49714\n90630 100000\n69045 100000\n27086 40607\n35181 52764\n74727 100000\n65637 98461\n86836 100000\n52793 79122\n12260 18404\n66804 100000\n88143 100000\n59911 89890\n52130 78128\n1016 1537\n14521 21830\n95710 100000\n19851 29847\n5169 7771\n84079 100000\n92942 100000\n88992 100000\n5187 7801\n67160 100000\n49076 73556\n17229 25896\n55911 83848\n6640 9991\n18279 27463\n32852 49272\n35372 53039\n97402 100000\n21452 32245\n40059 60066\n39393 59061\n93011 100000\n79078 100000\n34704 52050\n28940 43412\n2689 4048\n32359 48549\n67055 100000\n6220 9365\n43668 65502\n28501 42748\n22628 33967\n50206 75258\n28063 42087\n18056 27128\n90162 100000\n37613 56402\n81403 100000\n69580 100000\n22819 34245\n21248 31938\n43787 65674\n73591 100000\n50925 76346\n68735 100000\n98270 100000\n81783 100000\n74070 100000\n11802 17717\n80281 100000\n77467 100000\n91097 100000\n19083 28694\n22107 33201\n38226 57324\n99953 100000\n8615 12925\n44741 67102\n87230 100000\n78315 100000\n33400 50082\n96845 100000\n50449 75630\n29250 43867\n41014 61509\n18434 27694\n84741 100000\n38650 57954\n25731 38598\n27305 40936\n46371 69519\n88417 100000\n80794 100000\n10436 15665\n83940 100000\n46893 70287\n1951 2935\n70263 100000\n80240 100000\n54323 81420\n19095 28711\n70825 100000\n96251 100000\n38706 58042\n96724 100000\n11697 17562\n75864 100000\n56846 85256\n37771 56637\n87123 100000\n54382 81520\n60800 91207\n30060 45074\n21281 31986\n68164 100000\n40412 60598\n42112 63165\n62720 94093\n10651 15975\n59534 89308\n75361 100000\n51854 77713\n76995 100000\n14397 21645\n92739 100000\n19228 28906\n50843 76220\n94795 100000\n60148 90244\n7057 10611\n85049 100000\n47877 71742\n70584 100000\n59154 88726\n11216 16830\n13103 19675\n62556 93851\n13083 19645\n21017 31598\n15283 22999\n35879 53794\n90380 100000\n43908 65854\n73699 100000\n78671 100000\n25649 38474\n30569 45867\n29696 44528\n78560 100000\n11629 17452\n18456 27727\n76150 100000\n33238 49843\n18403 27648\n63268 94899\n81518 100000\n94376 100000\n73511 100000\n43452 65186\n48099 72075\n1995 3000\n82525 100000\n40387 60561\n22552 33849\n68024 100000\n56260 84382\n45274 67906\n41303 61956\n41080 61613\n25683 38520\n81773 100000\n14103 21209\n17364 26101\n45850 68755\n83216 100000\n53976 80902\n87713 100000\n4138 6225\n48911 73311\n32424 48648\n10145 15228\n72274 100000\n23448 35186\n31276 46933\n71230 100000\n1423 2153\n33365 50028\n86984 100000\n65691 98540\n14235 21404\n28374 42556\n42233 63356\n1203 1821\n99143 100000\n8857 13291\n23969 35973\n55573 83345\n59866 89822\n65886 98844\n86725 100000\n22618 33950\n97983 100000\n39343 58989\n72486 100000\n43450 65182\n33629 50427\n31699 47563\n53085 79562\n91974 100000\n94769 100000\n43912 65862\n61253 91882\n13466 20232\n1600 2414\n90743 100000\n83696 100000\n19328 29055\n92040 100000\n27056 40559\n68758 100000\n25191 37806\n57124 85668\n14334 21553\n38179 57255\n25775 38667\n17120 25723\n40315 60451\n43370 65058\n2346 3529\n1820 2737\n22492 33762\n44545 66805\n92451 100000\n2180 3277\n41753 62633\n22892 34353\n6245 9404\n32069 48120\n35302 52936\n11267 16908\n12341 18522\n25632 38445\n32324 48492\n51186 76737\n8574 12864\n84559 100000\n10757 16134\n50618 75881\n33106 49648\n17695 26585\n21363 32108\n19833 29818\n31184 46805\n21631 32500\n52398 78529\n92710 100000\n47901 71776\n43504 65260\n58603 87895\n50077 75059\n23379 35085\n38573 57843\n63645 95446\n52906 79292\n87603 100000\n41255 61880\n65468 98199\n89428 100000\n68739 100000\n70801 100000\n56409 84608\n15408 23184\n28617 42916\n28392 42580\n32168 48261\n37851 56755\n64897 97332\n18361 27584\n55810 83701\n85942 100000\n89950 100000\n36746 55106\n72645 100000\n35002 52500\n81581 100000\n67613 100000\n94402 100000\n12430 18656\n12138 18219\n29760 44622\n64884 97311\n43629 65442\n76356 100000\n93709 100000\n40898 61336\n48939 73354\n38285 57415\n92464 100000\n86670 100000\n56218 84313\n32861 49287\n22399 33620\n41566 62347\n69044 100000\n67017 100000\n37867 56778\n10328 15502\n27350 41000\n6867 10320\n5605 8427\n99740 100000\n17829 26792\n90119 100000\n94293 100000\n85286 100000\n71947 100000\n54721 82036\n11597 17406\n24585 36884\n74038 100000\n61590 92385\n65678 98523\n44783 67164\n86160 100000\n54378 81513\n87156 100000\n97559 100000\n37667 56484\n50871 76267\n66078 99136\n98505 100000\n29079 43609\n61249 91877\n27017 40501\n27270 40882\n38337 57488\n4529 6814\n3298 4979\n14600 21951\n32602 48900\n93898 100000\n70347 100000\n71681 100000\n26328 39504\n51345 76966\n55189 82761\n99393 100000\n39568 59331\n66941 100000\n44899 67339\n28585 42869\n88796 100000\n49040 73505\n23314 34988\n31461 47203\n85466 100000\n55120 82658\n94697 100000\n64392 96575\n37711 56543\n61031 91559\n70425 100000\n5581 8390\n53308 79912\n25885 38837\n60622 90939\n31626 47452\n7865 11815\n93590 100000\n40510 60747\n97839 100000\n56718 85063\n84092 100000\n11238 16861\n39451 59149\n74282 100000\n99627 100000\n62576 93876\n68176 100000\n18951 28499\n82073 100000\n32871 49302\n18550 27876\n58610 87905\n77912 100000\n89966 100000\n49296 73885\n28102 42144\n97335 100000\n26183 39281\n58438 87663\n18690 28097\n10937 16405\n63709 95538\n81050 100000\n38761 58124\n2235 3356\n99286 100000\n4830 7266\n27219 40804\n17105 25698\n10991 16488\n84600 100000\n88879 100000\n8794 13192\n39109 58623\n47567 71283\n51443 77108\n51372 77006\n3873 5829\n73071 100000\n95450 100000\n92956 100000\n86434 100000\n94918 100000\n31807 47726\n69355 100000\n37779 56652\n89064 100000\n40879 61307\n4163 6267\n76476 100000\n17443 26215\n93897 100000\n76249 100000\n92782 100000\n29214 43810\n56261 84384\n1484 2247\n9555 14337\n33768 50637\n95518 100000\n91874 100000\n82570 100000\n11748 17634\n65477 98214\n67726 100000\n4245 6390\n53058 79523\n95917 100000\n75700 100000\n44971 67438\n90155 100000\n98180 100000\n12577 18871\n78013 100000\n84282 100000\n212 327\n10354 15537\n90098 100000\n90545 100000\n12923 19395\n87356 100000\n76967 100000\n94236 100000\n78830 100000\n74983 100000\n70827 100000\n4113 6190\n84819 100000\n98548 100000\n12466 18706\n10907 16363\n73432 100000\n64318 96465\n55506 83242\n35344 52997\n77841 100000\n17450 26225\n71199 100000\n26508 39766\n39027 58505\n83193 100000\n74305 100000\n81704 100000\n56523 84777\n65997 99011\n63578 95344\n32548 48826\n99064 100000\n99066 100000\n85200 100000\n36422 54611\n24371 36576\n16036 24113\n21007 31583\n7578 11391\n53437 80100\n29245 43859\n25278 37932\n22128 33232\n54154 81167\n82553 100000\n28901 43350\n51917 77805\n51096 76601\n44688 67020\n38031 57030\n48899 73297\n41711 62567\n53159 79674\n4216 6345\n84473 100000\n19112 28733\n34832 52242\n86250 100000\n23658 35495\n59085 88619\n70639 100000\n75033 100000\n35651 53452\n37048 55551\n92407 100000\n5879 8840\n77780 100000\n35101 52642\n16967 25497\n17137 25752\n63912 95848\n69163 100000\n24794 37202\n59946 89944\n66633 99959\n52391 78518\n68902 100000\n5348 8043\n35743 53586\n85058 100000\n61169 91764\n13541 20345\n33461 50173\n97659 100000\n57554 86321\n71836 100000\n3249 4901\n43552 65333\n11821 17744\n25420 38140\n62504 93772\n62136 93201\n67677 100000\n12681 19033\n2364 3555\n26143 39225\n58830 88235\n18299 27493\n42514 63766\n10417 15634\n18382 27616\n1460 2211\n33480 50203\n72534 100000\n64613 96907\n36061 54061\n74819 100000\n82493 100000\n87231 100000\n18619 27981\n56196 84280\n69417 100000\n32597 48893\n80841 100000\n12231 18363\n54722 82038\n63022 94543\n84608 100000\n67197 100000\n50707 76018\n44459 66673\n41964 62953\n33361 50022\n93759 100000\n54674 81965\n59675 89531\n38332 57482\n8624 12939\n64141 96200\n29893 44827\n24163 36261\n73713 100000\n27153 40707\n589 905\n54716 82027\n53898 80784\n76442 100000\n46070 69086\n25807 38720\n80480 100000\n11425 17147\n22236 33386\n32000 48014\n12495 18748\n53329 79944\n58922 88375\n90132 100000\n47926 71819\n59846 89791\n92486 100000\n42655 63973\n58632 87942\n60934 91412\n17050 25614\n8358 12550\n73353 100000\n21969 32995\n38313 57456\n33524 50268\n74344 100000\n77339 100000\n18237 27402\n67334 100000\n11628 17451\n80615 100000\n28949 43427\n78949 100000\n73370 100000\n65166 97740\n70958 100000\n55814 83706\n31503 47265\n70690 100000\n83260 100000\n34178 51251\n13278 19936\n90802 100000\n86631 100000\n65700 98555\n34195 51275\n24929 37405\n59365 89042\n99244 100000\n50003 74954\n81991 100000\n9420 14128\n13438 20189\n50113 75113\n45132 67689\n62362 93560\n68108 100000\n23181 34791\n6205 9343\n68377 100000\n52304 78388\n57813 86708\n99881 100000\n98861 100000\n77212 100000\n57558 86327\n86112 100000\n78012 100000\n83440 100000\n53727 80523\n87935 100000\n84764 100000\n57476 86207\n77248 100000\n47170 70706\n19962 30012\n18637 28009\n33045 49560\n158 241\n22325 33513\n46979 70416\n90975 100000\n83037 100000\n28697 43040\n3889 5852\n27789 41676\n87213 100000\n91173 100000\n92774 100000\n15961 23998\n89146 100000\n58652 87970\n10369 15558\n79469 100000\n78107 100000\n38419 57612\n60707 91065\n43446 65175\n42309 63460\n79444 100000\n37798 56680\n98266 100000\n11153 16737\n44081 66111\n64629 96933\n8523 12786\n66020 99044\n22434 33672\n35902 53829\n2236 3357\n77834 100000\n16468 24763\n92612 100000\n8414 12630\n68932 100000\n2354 3539\n46347 69487\n35554 53309\n63025 94549\n18744 28184\n33546 50302\n18664 28054\n62943 94424\n53699 80481\n44656 66971\n46107 69137\n46101 69130\n82668 100000\n74190 100000\n18779 28237\n19661 29559\n12421 18639\n11647 17482\n33809 50705\n34795 52187\n99176 100000\n28320 42471\n42132 63196\n86918 100000\n12292 18448\n88602 100000\n35459 53174\n97751 100000\n69350 100000\n82147 100000\n777 1184\n67460 100000\n82980 100000\n86908 100000\n31918 47887\n25138 37726\n26993 40464\n93239 100000\n46512 69726\n79224 100000\n91208 100000\n73081 100000\n41358 62035\n46678 69971\n10132 15210\n61954 92945\n64084 96108\n1319 2000\n4203 6327\n76840 100000\n35577 53342\n70171 100000\n35499 53229\n30805 46233\n50137 75150\n62177 93267\n11236 16858\n2404 3612\n54771 82115\n98320 100000\n48023 71965\n92511 100000\n51971 77892\n54045 81002\n47233 70798\n90056 100000\n11934 17912\n49634 74398\n46233 69318\n6284 9464\n79163 100000\n35894 53818\n23765 35656\n59489 89242\n97379 100000\n7448 11190\n13893 20885\n31651 47493\n73505 100000\n79890 100000\n63756 95602\n73764 100000\n44038 66051\n61348 92031\n59411 89110\n62656 93997\n66992 100000\n56450 84668\n22473 33735\n78019 100000\n44371 66547\n49095 73586\n84300 100000\n58713 88062\n86369 100000\n71720 100000\n95575 100000\n85838 100000\n10715 16069\n79203 100000\n33051 49568\n78186 100000\n83648 100000\n54533 81751\n16466 24759\n44537 66793\n85580 100000\n60193 90306\n57692 86528\n21849 32825\n96877 100000\n8496 12746\n75102 100000\n30858 46308\n26598 39904\n49953 74880\n45868 68782\n18282 27468\n71913 100000\n96631 100000\n70565 100000\n33141 49700\n38136 57182\n89566 100000\n79632 100000\n27263 40872\n11751 17639\n24481 36736\n70585 100000\n8667 13004\n81857 100000\n38426 57623\n10940 16410\n55552 83315\n94792 100000\n96290 100000\n77091 100000\n48988 73426\n57777 86652\n30386 45575\n97832 100000\n49575 74309\n17722 26625\n94515 100000\n29834 44735\n11877 17828\n8450 12681\n45263 67890\n13660 20530\n26086 39140\n88956 100000\n87471 100000\n30248 45363\n99391 100000\n56580 84863\n83614 100000\n10753 16127\n4283 6446\n63757 95603\n82953 100000\n48562 72784\n29301 43948\n63632 95427\n62887 94344\n74967 100000\n30695 46061\n24625 36942\n89679 100000\n81898 100000\n52307 78394\n89836 100000\n99360 100000\n47415 71064\n25503 38261\n19224 28899\n31144 46737\n52672 78942\n69555 100000\n13174 19788\n93713 100000\n57062 85577\n25508 38269\n14537 21856\n49910 74820\n72333 100000\n46390 69547\n75313 100000\n21519 32343\n56622 84922\n36966 55428\n11023 16542\n63962 95916\n17834 26799\n26364 39554\n4150 6246\n40679 60998\n59001 88493\n29182 43761\n46747 70074\n95441 100000\n51263 76849\n58354 87534\n68208 100000\n67880 100000\n97410 100000\n63753 95598\n85579 100000\n58285 87424\n51814 77654\n35621 53407\n1867 2812\n64186 96267\n49944 74865\n71558 100000\n17573 26408\n98246 100000\n13999 21047\n66540 99827\n52599 78831\n56038 84042\n11873 17822\n62589 93896\n67065 100000\n87490 100000\n31302 46970\n33319 49962\n96068 100000\n2750 4146\n22756 34152\n27091 40614\n72575 100000\n41261 61889\n37481 56199\n85899 100000\n30326 45476\n17835 26800\n86232 100000\n45689 68524\n68718 100000\n54343 81453\n37116 55650\n97968 100000\n57142 85695\n79888 100000\n21538 32370\n96730 100000\n62157 93236\n32545 48823\n20874 31377\n61996 93006\n68510 100000\n62771 94172\n17672 26554\n59761 89668\n40255 60363\n33178 49754\n49870 74766\n93138 100000\n96756 100000\n30135 45192\n4342 6536\n93234 100000\n80631 100000\n57312 85960\n61192 91797\n90896 100000\n82004 100000\n53382 80017\n79564 100000\n65734 98608\n51734 77531\n46550 69783\n74980 100000\n56426 84632\n56361 84532\n40155 60210\n14854 22346\n87993 100000\n7270 10931\n27182 40749\n27302 40932\n3558 5359\n70264 100000\n57169 85734\n16218 24385\n6664 10023\n69730 100000\n76130 100000\n73291 100000\n35592 53364\n22073 33148\n63577 95342\n21981 33016\n96146 100000\n39489 59207\n70024 100000\n47920 71809\n6563 9871\n24947 37431\n12232 18365\n43515 65275\n63601 95381\n38095 57125\n87000 100000\n84417 100000\n83808 100000\n54804 82166\n9317 13982\n82502 100000\n62551 93844\n43207 64802\n67296 100000\n3273 4939\n93260 100000\n2918 4403\n4631 6973\n65897 98861\n97315 100000\n32448 48681\n3446 5199\n51804 77637\n29353 44035\n19973 30028\n53530 80233\n21569 32418\n54928 82354\n51317 76926\n94912 100000\n88660 100000\n95568 100000\n91033 100000\n8827 13246\n69605 100000\n93146 100000\n19881 29890\n91405 100000\n56011 84002\n40232 60330\n29006 43507\n77002 100000\n87092 100000\n71560 100000\n65089 97629\n43225 64831\n89858 100000\n8300 12459\n92796 100000\n825 1255\n18218 27373\n25423 38145\n50515 75730\n77490 100000\n85624 100000\n55574 83347\n92579 100000\n86190 100000\n98095 100000\n68745 100000\n26288 39441\n62896 94356\n41825 62747\n35371 53037\n48500 72682\n10833 16250\n48150 72154\n31970 47968\n55953 83912\n57972 86940\n10121 15191\n49297 73886\n90144 100000\n57150 85707\n47060 70541\n16303 24513\n78619 100000\n86071 100000\n78068 100000\n50167 75197\n63061 94603\n77417 100000\n9580 14375\n98629 100000\n9857 14792\n11159 16745\n10294 15454\n36020 54004\n14785 22244\n68634 100000\n46519 69736\n27786 41671\n55220 82809\n36346 54499\n41003 61494\n10696 16037\n97144 100000\n57532 86289\n38998 58462\n50732 76057\n6808 10232\n56163 84230\n25973 38967\n78259 100000\n17627 26483\n33018 49519\n9028 13538\n17185 25828\n75437 100000\n22570 33880\n33779 50655\n65322 97979\n72039 100000\n89761 100000\n63389 95068\n21624 32489\n39246 58840\n69088 100000\n2433 3661\n23689 35540\n88346 100000\n68952 100000\n94066 100000\n74542 100000\n30988 46515\n31552 47341\n274 421\n24025 36056\n99170 100000\n81008 100000\n5248 7891\n80512 100000\n58009 86998\n93497 100000\n99445 100000\n35413 53103\n89348 100000\n20026 30108\n56683 85013\n29115 43662\n70000 100000\n70146 100000\n76951 100000\n62242 93371\n70536 100000\n55244 82843\n82809 100000\n1797 2706\n35461 53176\n47808 71647\n34353 51514\n20955 31500\n57829 86727\n51013 76476\n83276 100000\n79365 100000\n69457 100000\n71076 100000\n92921 100000\n8772 13160\n60649 90980\n91011 100000\n58823 88226\n11168 16760\n64137 96192\n87256 100000\n47443 71105\n80478 100000\n12581 18878\n28844 43266\n55336 82980\n98292 100000\n24980 37483\n79794 100000\n83497 100000\n88801 100000\n4786 7206\n61853 92789\n29857 44772\n91184 100000\n34456 51674\n57306 85950\n65211 97807\n59717 89598\n97399 100000\n99647 100000\n69991 100000\n61210 91824\n70975 100000\n14075 21166\n22759 34156\n73089 100000\n89811 100000\n72035 100000\n25088 37653\n4098 6166\n59295 88939\n9771 14663\n78133 100000\n8796 13196\n63813 95690\n56099 84135\n21777 32713\n23604 35417\n71290 100000\n92788 100000\n60706 91063\n36242 54335\n11719 17592\n40350 60503\n12600 18906\n88161 100000\n58310 87464\n77287 100000\n53836 80688\n38277 57404\n74367 100000\n22343 33538\n68942 100000\n49468 74141\n83812 100000\n19122 28752\n68785 100000\n25853 38788\n527 808\n76008 100000\n90 141\n9087 13620\n68269 100000\n11729 17604\n93846 100000\n79948 100000\n26240 39369\n18136 27244\n53678 80448\n46324 69455\n31414 47134\n17671 26552\n18807 28283\n86659 100000\n40520 60760\n18638 28011\n68363 100000\n95463 100000\n98409 100000\n42336 63501\n84418 100000\n92450 100000\n94229 100000\n24399 36619\n85139 100000\n59181 88767\n90997 100000\n9910 14880\n28448 42665\n68220 100000\n82400 100000\n48458 72619\n64715 97064\n45160 67731\n38986 58444\n39998 59970\n97509 100000\n13582 20408\n11969 17964\n9369 14057\n17606 26451\n34386 51567\n53837 80689\n77140 100000\n38265 57385\n86855 100000\n59976 89992\n54308 81400\n90314 100000\n10052 15086\n39219 58794\n25274 37926\n73864 100000\n63938 95882\n11562 17354\n66607 99923\n13324 20009\n19333 29065\n66601 99913\n75377 100000\n75464 100000\n80591 100000\n6743 10139\n15550 23398\n9719 14584\n24519 36790\n37773 56640\n18076 27159\n46089 69112\n62031 93055\n92033 100000\n38557 57822\n10027 15048\n35789 53656\n79862 100000\n12561 18846\n99211 100000\n2943 4442\n80799 100000\n59230 88840\n73539 100000\n44808 67198\n68614 100000\n65472 98207\n3485 5255\n54274 81347\n14876 22378\n4032 6055\n52997 79427\n47251 70826\n19922 29953\n80400 100000\n41710 62565\n11586 17389\n25220 37847\n63264 94893\n17521 26327\n53662 80428\n4719 7103\n62935 94413\n21520 32345\n31950 47934\n5380 8089\n83855 100000\n63496 95228\n91227 100000\n37515 56249\n6916 10393\n52453 78610\n80600 100000\n90247 100000\n69723 100000\n23196 34811\n64847 97256\n99780 100000\n26957 40414\n45626 68430\n29504 44250\n69909 100000\n54417 81577\n36101 54123\n99290 100000\n74972 100000\n37400 56074\n9547 14325\n50278 75373\n32847 49266\n80826 100000\n55174 82740\n52119 78113\n47668 71441\n731 1115\n39595 59371\n45934 68876\n88850 100000\n8760 13144\n24070 36120\n21703 32599\n63074 94623\n89736 100000\n24155 36248\n55304 82937\n48146 72149\n20141 30280\n11574 17372\n74999 100000\n92629 100000\n97153 100000\n83466 100000\n90253 100000\n48420 72560\n30933 46426\n35714 53544\n43477 65221\n34913 52369\n30748 46141\n3634 5472\n53114 79603\n96915 100000\n74250 100000\n76258 100000\n86026 100000\n80091 100000\n68544 100000\n65754 98639\n71454 100000\n90026 100000\n82856 100000\n52154 78163\n9381 14073\n40150 60202\n32897 49341\n28757 43137\n84476 100000\n27435 41138\n79107 100000\n56679 85006\n20454 30740\n11765 17659\n24887 37340\n19796 29765\n80765 100000\n80581 100000\n29112 43657\n60858 91296\n94165 100000\n36026 54014\n72248 100000\n20235 30421\n2128 3192\n33462 50175\n86868 100000\n16372 24615\n41404 62102\n97006 100000\n51689 77462\n72089 100000\n57489 86227\n85327 100000\n48928 73339\n82569 100000\n88207 100000\n49795 74653\n76328 100000\n97233 100000\n43195 64784\n8747 13124\n36472 54686\n94582 100000\n79232 100000\n13397 20121\n80604 100000\n2977 4495\n77865 100000\n9597 14400\n7273 10936\n14131 21250\n68478 100000\n10282 15437\n72924 100000\n91160 100000\n95747 100000\n95484 100000\n95427 100000\n16128 24246\n16954 25478\n39268 58872\n78011 100000\n67846 100000\n65551 98330\n19252 28940\n38524 57774\n30787 46205\n16432 24707\n30348 45513\n23789 35692\n46975 70410\n31573 47373\n44698 67035\n81613 100000\n80772 100000\n61519 92278\n65671 98512\n49731 74550\n52546 78749\n71945 100000\n17269 25956\n67343 100000\n79344 100000\n28021 42023\n80609 100000\n5243 7884\n87719 100000\n65658 98493\n528 810\n51145 76675\n9935 14917\n19170 28823\n30241 45353\n91614 100000\n40286 60407\n55638 83443\n96948 100000\n10733 16097\n5252 7896\n85040 100000\n63344 95004\n57601 86389\n45382 68069\n77262 100000\n12691 19048\n87478 100000\n49423 74074\n25230 37862\n98057 100000\n6436 9692\n89883 100000\n86543 100000\n34666 51990\n71007 100000\n28074 42102\n56578 84860\n11779 17682\n42582 63869\n33181 49759\n46624 69892\n91972 100000\n10763 16141\n43037 64543\n92806 100000\n89350 100000\n61999 93010\n25521 38285\n24056 36099\n87386 100000\n48345 72448\n68586 100000\n98216 100000\n71164 100000\n46637 69910\n10878 16321\n78476 100000\n17275 25967\n48128 72118\n90671 100000\n17975 27002\n83214 100000\n19110 28729\n14919 22443\n28593 42880\n73707 100000\n45027 67528\n71675 100000\n26631 39955\n46862 70239\n90128 100000\n4139 6227\n85950 100000\n80301 100000\n73574 100000\n31835 47767\n66689 100000\n36199 54268\n1703 2563\n4657 7011\n93424 100000\n90373 100000\n40536 60785\n22497 33770\n68064 100000\n61336 92014\n77522 100000\n61211 91826\n93137 100000\n39979 59942\n62153 93228\n26171 39264\n24165 36265\n45111 67657\n14801 22270\n63129 94703\n33342 49994\n15451 23251\n83277 100000\n86680 100000\n87177 100000\n52886 79264\n29065 43592\n47042 70514\n73928 100000\n82179 100000\n34398 51586\n45037 67545\n82868 100000\n84932 100000\n92482 100000\n31612 47434\n99717 100000\n50791 76145\n27286 40906\n66995 100000\n24610 36919\n40713 61050\n86272 100000\n67860 100000\n90728 100000\n56430 84638\n5411 8131\n18776 28233\n6938 10426\n34766 52143\n82029 100000\n64662 96982\n88899 100000\n30631 45964\n36430 54623\n2439 3671\n46909 70310\n12913 19381\n73033 100000\n17742 26658\n98337 100000\n22 36\n93499 100000\n89788 100000\n25580 38370\n95668 100000\n87803 100000\n80715 100000\n74577 100000\n80039 100000\n1993 2997\n96830 100000\n23283 34941\n58755 88128\n56010 84001\n26664 40000\n78731 100000\n72689 100000\n74415 100000\n68392 100000\n62929 94403\n89791 100000\n85228 100000\n4928 7414\n82607 100000\n76073 100000\n63641 95440\n9391 14088\n38604 57888\n11862 17803\n96873 100000\n60969 91467\n49780 74629\n90223 100000\n61657 92487\n21004 31577\n24264 36410\n60889 91347\n71312 100000\n59967 89977\n49393 74029\n43500 65253\n97636 100000\n68825 100000\n77447 100000\n98834 100000\n86340 100000\n66682 100000\n55203 82784\n35320 52964\n40025 60013\n85872 100000\n95569 100000\n23841 35772\n48891 73282\n24938 37420\n74815 100000\n3128 4717\n39184 58731\n93221 100000\n91527 100000\n7091 10663\n54607 81860\n62836 94273\n89825 100000\n31595 47408\n93711 100000\n91852 100000\n4006 6018\n23369 35071\n95054 100000\n42519 63774\n42006 63011\n58333 87501\n40768 61141\n82229 100000\n2065 3104\n21558 32402\n48101 72079\n6969 10477\n33873 50800\n82432 100000\n25810 38724\n95707 100000\n22944 34429\n4068 6117\n77850 100000\n75003 100000\n27202 40776\n48917 73322\n50169 75200\n35280 52905\n74517 100000\n28454 42674\n78905 100000\n69048 100000\n58238 87349\n36627 54923\n14022 21083\n52124 78120\n10587 15880\n29793 44673\n62546 93836\n87541 100000\n65217 97818\n86771 100000\n85138 100000\n87875 100000\n3743 5640\n55133 82679\n38082 57104\n16698 25108\n22023 33077\n63659 95465\n90225 100000\n64485 96712\n22256 33412\n94325 100000\n74705 100000\n8273 12419\n50263 75347\n53584 80308\n22793 34204\n3011 4545\n16069 24160\n22305 33485\n98983 100000\n15537 23378\n65690 98538\n58690 88025\n93186 100000\n19179 28835\n17299 26007\n36663 54977\n89436 100000\n89169 100000\n46196 69264\n86047 100000\n66611 99927\n21645 32519\n96051 100000\n20539 30860\n91795 100000\n18232 27394\n95328 100000\n32690 49040\n14219 21383\n91502 100000\n98151 100000\n58127 87182\n1463 2215\n81053 100000\n94652 100000\n61864 92807\n10314 15483\n67894 100000\n11131 16708\n2914 4398\n90057 100000\n21206 31872\n88431 100000\n71038 100000\n88410 100000\n48598 72838\n85608 100000\n23718 35585\n16419 24686\n19300 29009\n26848 40261\n72435 100000\n46686 69982\n45529 68286\n20120 30246\n41504 62253\n70707 100000\n88717 100000\n6250 9411\n47422 71074\n95286 100000\n9635 14456\n77172 100000\n54517 81728\n9481 14220\n29078 43608\n23340 35027\n54682 81977\n90066 100000\n55292 82917\n382 586\n94381 100000\n27781 41663\n67512 100000\n45049 67564\n48511 72701\n51823 77671\n23589 35396\n84634 100000\n91765 100000\n29276 43908\n981 1488\n40637 60939\n45950 68901\n74475 100000\n67376 100000\n42719 64067\n51556 77266\n72991 100000\n88898 100000\n47109 70612\n15521 23354\n19777 29737\n63729 95565\n69950 100000\n63050 94586\n70581 100000\n93501 100000\n56072 84092\n72885 100000\n72753 100000\n31353 47046\n33004 49498\n34807 52206\n60990 91498\n39987 59953\n93950 100000\n63781 95642\n82818 100000\n51155 76690\n72490 100000\n53816 80656\n76161 100000\n6537 9835\n54652 81928\n45288 67929\n23694 35548\n81807 100000\n53792 80618\n88234 100000\n90810 100000\n40183 60255\n65836 98765\n50313 75424\n77341 100000\n93581 100000\n21152 31792\n53441 80106\n64788 97170\n92011 100000\n51071 76564\n9231 13847\n36123 54154\n23302 34970\n77821 100000\n99156 100000\n99801 100000\n57054 85565\n92476 100000\n34358 51524\n33268 49886\n79645 100000\n29754 44612\n37376 56041\n32154 48242\n56753 85109\n9811 14722\n22081 33160\n38794 58173\n3547 5343\n69220 100000\n41287 61931\n59051 88569\n5582 8391\n74252 100000\n42505 63755\n90042 100000\n77378 100000\n75744 100000\n74524 100000\n3660 5513\n23383 35091\n94085 100000\n98093 100000\n59252 88875\n44426 66629\n19200 28866\n55654 83468\n74798 100000\n47420 71072\n81189 100000\n87910 100000\n23747 35629\n35899 53824\n73881 100000\n18960 28511\n27735 41594\n5546 8334\n30992 46522\n53618 80364\n76919 100000\n36525 54763\n71809 100000\n17278 25972\n84184 100000\n48809 73157\n22298 33473\n2760 4162\n38080 57101\n59951 89952\n85674 100000\n64785 97165\n78629 100000\n19470 29276\n53144 79649\n93721 100000\n6836 10276\n41838 62766\n77863 100000\n31020 46560\n30845 46287\n5890 8856\n57974 86944\n92712 100000\n96537 100000\n57780 86657\n9969 14962\n97801 100000\n28450 42668\n3078 4646\n70091 100000\n22130 33236\n20363 30613\n77349 100000\n18927 28463\n34159 51223\n79424 100000\n54809 82174\n70224 100000\n94004 100000\n55519 83262\n11755 17645\n99135 100000\n51925 77819\n31471 47218\n32357 48547\n44005 66005\n69888 100000\n89181 100000\n62700 94062\n89573 100000\n75219 100000\n7233 10876\n41314 61973\n8365 12558\n30857 46306\n22654 34008\n89464 100000\n6770 10180\n69206 100000\n18520 27829\n35584 53351\n16705 25119\n26490 39738\n56567 84844\n53581 80305\n23949 35938\n2157 3239\n90122 100000\n18027 27084\n9109 13653\n45556 68329\n96690 100000\n30383 45570\n84950 100000\n29776 44648\n27940 41907\n64405 96596\n96376 100000\n7165 10774\n7300 10972\n58267 87395\n49063 73539\n88034 100000\n76278 100000\n4329 6516\n25650 38475\n87766 100000\n2050 3081\n21773 32707\n90334 100000\n54486 81683\n19480 29292\n87166 100000\n56296 84435\n11524 17298\n94008 100000\n45311 67963\n33556 50319\n26615 39929\n14522 21832\n84502 100000\n46647 69925\n83159 100000\n24477 36732\n81535 100000\n50788 76140\n81265 100000\n70159 100000\n44211 66305\n83202 100000\n78924 100000\n95618 100000\n22971 34470\n51548 77255\n64112 96152\n6654 10010\n61223 91842\n92731 100000\n89657 100000\n53067 79535\n12599 18904\n28489 42731\n35524 53265\n62795 94206\n12020 18041\n47559 71272\n37746 56598\n18478 27763\n99876 100000\n57387 86080\n47724 71525\n21721 32629\n6686 10058\n6940 10430\n59078 88609\n81798 100000\n39538 59283\n46539 69767\n51736 77534\n48133 72126\n6582 9900\n39701 59535\n80473 100000\n78772 100000\n70016 100000\n35351 53006\n37859 56766\n58871 88296\n11226 16845\n37009 55492\n35188 52775\n25179 37788\n71026 100000\n26332 39510\n39469 59174\n33043 49556\n58031 87031\n94915 100000\n52966 79381\n45896 68825\n55231 82823\n15644 23538\n94650 100000\n43204 64796\n6371 9603\n34750 52121\n3760 5665\n68937 100000\n80447 100000\n52658 78919\n91294 100000\n77177 100000\n63244 94862\n82256 100000\n44406 66598\n92276 100000\n26203 39311\n21426 32206\n16935 25453\n98212 100000\n11210 16821\n26662 39996\n32067 48117\n46472 69665\n58272 87402\n35712 53541\n86731 100000\n90311 100000\n69387 100000\n52536 78733\n81397 100000\n65554 98335\n38263 57382\n21263 31961\n57411 86112\n37391 56062\n27573 41346\n77528 100000\n77306 100000\n88592 100000\n75970 100000\n29981 44958\n17161 25790\n67581 100000\n85626 100000\n2099 3151\n19272 28971\n80950 100000\n28260 42379\n3951 5945\n79283 100000\n32488 48742\n97806 100000\n97692 100000\n8443 12672\n97422 100000\n96192 100000\n18598 27951\n34920 52379\n78041 100000\n43354 65033\n60560 90849\n73464 100000\n33861 50782\n2297 3453\n27213 40794\n45342 68009\n79070 100000\n73893 100000\n35133 52691\n18611 27969\n74455 100000\n64204 96295\n93566 100000\n82691 100000\n147 224\n40798 61189\n62669 94018\n61547 92320\n81444 100000\n61162 91753\n34417 51613\n19305 29018\n57166 85730\n54954 82391\n97095 100000\n67274 100000\n82638 100000\n26800 40193\n65715 98577\n70770 100000\n71274 100000\n45220 67824\n81316 100000\n1290 1953\n86982 100000\n66881 100000\n90007 100000\n8610 12918\n20261 30458\n8405 12615\n88445 100000\n17028 25582\n44061 66082\n40029 60019\n41849 62783\n2708 4078\n47938 71837\n28179 42256\n10678 16012\n94552 100000\n41586 62375\n18507 27807\n33069 49594\n21837 32806\n45923 68860\n58207 87301\n77111 100000\n96516 100000\n30019 45015\n61524 92285\n23272 34924\n36111 54136\n75514 100000\n78901 100000\n36607 54892\n74535 100000\n86206 100000\n62117 93172\n59390 89079\n15241 22932\n19378 29136\n70518 100000\n72708 100000\n20749 31185\n84478 100000\n35822 53707\n37645 56449\n37338 55982\n67749 100000\n78230 100000\n69871 100000\n26961 40419\n1804 2715\n88820 100000\n57887 86809\n54693 81994\n67360 100000\n17361 26097\n84958 100000\n51083 76580\n6570 9880\n40548 60805\n36413 54599\n27828 41735\n90330 100000\n81160 100000\n36765 55138\n31380 47083\n81456 100000\n45742 68601\n92342 100000\n69813 100000\n39969 59928\n66844 100000\n35983 53946\n96106 100000\n72116 100000\n70418 100000\n54859 82248\n87039 100000\n46022 69010\n21851 32829\n98955 100000\n83730 100000\n10210 15325\n34784 52170\n74065 100000\n15786 23740\n94185 100000\n74674 100000\n88711 100000\n64616 96912\n78840 100000\n41708 62562\n55786 83671\n10261 15406\n38251 57361\n91330 100000\n38546 57806\n76043 100000\n20062 30160\n52624 78866\n67440 100000\n75333 100000\n90664 100000\n10368 15557\n71344 100000\n28305 42449\n11309 16976\n64178 96257\n13015 19543\n1878 2827\n12620 18935\n48301 72380\n9994 15000\n18943 28487\n58040 87046\n65664 98501\n76726 100000\n21589 32445\n11844 17778\n95626 100000\n45651 68467\n15457 23260\n40112 60145\n47540 71245\n14656 22045\n76231 100000\n19910 29932\n39956 59906\n8412 12627\n98147 100000\n75471 100000\n56834 85237\n58325 87487\n94277 100000\n96444 100000\n46302 69420\n30872 46330\n7271 10933\n10001 15010\n61198 91806\n99294 100000\n90771 100000\n41515 62270\n57736 86591\n45060 67581\n83269 100000\n45577 68359\n57897 86826\n78129 100000\n43942 65908\n55584 83360\n64516 96758\n80317 100000\n32147 48232\n39835 59728\n28033 42043\n95828 100000\n74720 100000\n4200 6323\n16001 24061\n74365 100000\n19402 29172\n74208 100000\n93073 100000\n92500 100000\n1915 2880\n74051 100000\n82528 100000\n61975 92976\n64877 97301\n92864 100000\n17253 25933\n88401 100000\n23974 35980\n98478 100000\n7512 11290\n71880 100000\n48416 72553\n60665 91003\n35901 53827\n14947 22486\n4249 6395\n13502 20286\n53885 80762\n20297 30511\n2169 3257\n42261 63392\n39427 59114\n34950 52419\n71736 100000\n85446 100000\n61600 92403\n79901 100000\n3320 5011\n32808 49211\n28396 42586\n21214 31883\n56545 84810\n69963 100000\n56493 84731\n25361 38051\n99540 100000\n84524 100000\n61422 92138\n2761 4164\n69436 100000\n26647 39976\n69168 100000\n9011 13512\n36048 54043\n24000 36019\n26416 39630\n22250 33405\n32821 49229\n10954 16429\n17314 26028\n57076 85601\n28893 43337\n88537 100000\n4105 6178\n34141 51194\n42803 64200\n40968 61440\n85602 100000\n66957 100000\n94416 100000\n51371 77004\n24241 36373\n75022 100000\n52062 78033\n70562 100000\n76104 100000\n88748 100000\n91993 100000\n42087 63126\n8521 12783\n5648 8490\n29002 43503\n31866 47811\n88413 100000\n1207 1828\n11970 17965\n34658 51977\n85809 100000\n65838 98767\n8167 12263\n98555 100000\n9856 14790\n93309 100000\n52339 78437\n66048 99089\n49620 74375\n67596 100000\n22412 33639\n40970 61443\n55551 83314\n61033 91562\n37761 56622\n78189 100000\n21664 32544\n20877 31382\n53936 80843\n35220 52817\n9475 14209\n46655 69938\n57906 86841\n54612 81867\n60203 90320\n51113 76627\n95637 100000\n35784 53648\n29876 44802\n17704 26600\n43123 64679\n39989 59956\n87067 100000\n1359 2059\n14997 22564\n44023 66029\n4565 6872\n67734 100000\n16403 24661\n58121 87172\n78546 100000\n7385 11101\n47478 71153\n37363 56020\n69577 100000\n85328 100000\n95120 100000\n61143 91720\n55090 82609\n94386 100000\n36646 54951\n26844 40254\n8146 12232\n57432 86143\n3454 5212\n43933 65893\n35491 53217\n52907 79294\n66817 100000\n58877 88306\n28506 42757\n40182 60254\n8266 12410\n14871 22371\n23364 35063\n47565 71280\n75821 100000\n75932 100000\n59912 89891\n7775 11680\n42687 64017\n58334 87503\n61268 91906\n55674 83499\n81866 100000\n26935 40384\n38746 58100\n94425 100000\n14504 21804\n60811 91226\n89047 100000\n79790 100000\n98674 100000\n64936 97396\n13266 19920\n75614 100000\n63940 95885\n45765 68631\n39876 59790\n5834 8771\n82486 100000\n13733 20644\n94748 100000\n60218 90339\n54568 81800\n93217 100000\n67496 100000\n64689 97026\n12747 19131\n57498 86240\n35087 52621\n17787 26728\n14511 21813\n10291 15449\n38037 57040\n58271 87401\n56658 84977\n70277 100000\n56744 85097\n59954 89957\n86096 100000\n10162 15252\n65795 98703\n68530 100000\n10925 16390\n4539 6831\n46810 70163\n22799 34213\n52804 79137\n53038 79493\n59372 89054\n76648 100000\n33864 50787\n42427 63639\n66428 99658\n23662 35501\n91473 100000\n89022 100000\n98871 100000\n97219 100000\n63752 95597\n26691 40035\n55533 83283\n24203 36319\n44625 66928\n26337 39517\n23218 34847\n62196 93299\n44189 66276\n12309 18470\n73050 100000\n27628 41426\n22037 33097\n53981 80910\n66975 100000\n21357 32099\n59370 89050\n30387 45576\n63406 95091\n12353 18540\n91091 100000\n4118 6199\n55282 82901\n77311 100000\n99904 100000\n68211 100000\n53649 80407\n5776 8678\n30034 45037\n56925 85374\n47979 71901\n21954 32977\n10694 16034\n43422 65136\n27054 40556\n69344 100000\n6017 9045\n85623 100000\n46877 70262\n94895 100000\n58868 88291\n85712 100000\n3829 5763\n84156 100000\n80212 100000\n60433 90666\n89398 100000\n95037 100000\n31679 47534\n66652 99987\n33085 49620\n42808 64206\n5146 7741\n12329 18504\n68306 100000\n6313 9510\n17225 25889\n17383 26132\n6769 10179\n83872 100000\n74955 100000\n91168 100000\n37627 56424\n58297 87445\n33034 49542\n86630 100000\n73014 100000\n20476 30774\n96042 100000\n85531 100000\n72257 100000\n80035 100000\n74293 100000\n64857 97269\n8686 13033\n56 86\n18385 27621\n83746 100000\n34526 51780\n10319 15491\n4231 6369\n52522 78714\n15899 23911\n97285 100000\n91921 100000\n18303 27498\n34266 51380\n96301 100000\n84489 100000\n34926 52386\n68572 100000\n90677 100000\n68459 100000\n36908 55344\n8260 12403\n20963 31515\n97284 100000\n20911 31437\n25505 38265\n28293 42430\n69346 100000\n77583 100000\n98486 100000\n2348 3531\n38885 58301\n24069 36118\n49591 74332\n32499 48760\n46204 69275\n10427 15650\n92269 100000\n13163 19770\n76175 100000\n12352 18538\n17551 26374\n48824 73180\n16706 25121\n10721 16078\n77794 100000\n66334 99517\n99770 100000\n60012 90041\n63258 94883\n32285 48436\n88920 100000\n74444 100000\n44598 66885\n84160 100000\n46229 69311\n77629 100000\n6332 9541\n72270 100000\n22329 33518\n34072 51089\n96065 100000\n51069 76561\n5641 8480\n54796 82154\n52796 79126\n35225 52823\n28433 42643\n84384 100000\n65625 98443\n67547 100000\n34820 52224\n77264 100000\n46178 69241\n68761 100000\n89719 100000\n71831 100000\n94098 100000\n174 265\n53968 80890\n15926 23946\n99448 100000\n78125 100000\n76284 100000\n49346 73959\n29430 44141\n10068 15111\n72268 100000\n8103 12165\n67889 100000\n26180 39278\n40503 60736\n79643 100000\n3181 4800\n84437 100000\n31163 46769\n23106 34679\n55332 82974\n75600 100000\n65202 97794\n68585 100000\n39682 59505\n11538 17318\n49180 73713\n30828 46263\n67215 100000\n17205 25859\n8674 13015\n12007 18022\n6236 9390\n86660 100000\n69736 100000\n94885 100000\n53176 79703\n28592 42878\n44713 67061\n68987 100000\n26996 40468\n43835 65744\n73859 100000\n26616 39930\n77978 100000\n75708 100000\n4722 7107\n81938 100000\n2497 3763\n17607 26453\n16236 24413\n69978 100000\n35323 52968\n9279 13918\n4381 6597\n31761 47658\n50472 75665\n9668 14506\n95983 100000\n31065 46625\n92851 100000\n9085 13618\n68490 100000\n62527 93810\n83835 100000\n33963 50928\n95718 100000\n27764 41638\n71146 100000\n91412 100000\n42202 63306\n81679 100000\n61459 92195\n6082 9148\n50651 75936\n78279 100000\n67525 100000\n51572 77287\n74658 100000\n32611 48914\n60068 90124\n88802 100000\n28733 43098\n17716 26617\n28114 42160\n52440 78592\n5314 7991\n95723 100000\n10063 15104\n48043 71991\n39816 59700\n77041 100000\n81620 100000\n3481 5250\n47632 71385\n5212 7838\n75659 100000\n42088 63127\n55865 83777\n76931 100000\n84468 100000\n27155 40711\n26420 39635\n94790 100000\n69955 100000\n59485 89235\n68933 100000\n11017 16532\n72554 100000\n67294 100000\n12975 19476\n50747 76082\n78480 100000\n96887 100000\n34061 51074\n83073 100000\n35922 53857\n7762 11664\n2471 3720\n16829 25298\n78071 100000\n5425 8152\n4547 6843\n97613 100000\n97333 100000\n18014 27063\n69739 100000\n24648 36977\n19424 29203\n73487 100000\n59499 89259\n17807 26758\n66909 100000\n31420 47143\n31162 46767\n87624 100000\n69131 100000\n86106 100000\n33369 50033\n86320 100000\n40685 61006\n24805 37219\n67809 100000\n65768 98661\n30271 45398\n17920 26924\n38710 58048\n68589 100000\n56639 84951\n336 515\n92685 100000\n76678 100000\n90499 100000\n54969 82414\n30967 46481\n41949 62930\n60103 90183\n57803 86693\n36256 54357\n56208 84297\n80187 100000\n27321 40957\n25458 38199\n16255 24441\n94826 100000\n61091 91647\n44287 66420\n84016 100000\n84763 100000\n46887 70279\n97368 100000\n7027 10567\n84089 100000\n58444 87672\n19638 29525\n63870 95780\n19079 28687\n60878 91327\n4 8\n17784 26723\n29508 44255\n36611 54898\n73839 100000\n5531 8310\n67694 100000\n37504 56231\n14980 22535\n96021 100000\n87630 100000\n97038 100000\n4046 6080\n13084 19646\n71601 100000\n14581 21920\n90403 100000\n83676 100000\n69325 100000\n10020 15040\n53899 80786\n83496 100000\n7236 10880\n22682 34048\n54114 81107\n93839 100000\n51707 77490\n5456 8201\n82163 100000\n19509 29334\n11016 16531\n51659 77416\n91254 100000\n63345 95006\n3155 4759\n19484 29299\n88873 100000\n9709 14567\n90289 100000\n10734 16098\n40723 61068\n61492 92243\n72898 100000\n69305 100000\n35594 53366\n24274 36427\n62804 94222\n10458 15695\n56519 84772\n51165 76704\n84245 100000\n78437 100000\n93751 100000\n27967 41947\n85664 100000\n45412 68111\n51141 76668\n49783 74632\n48269 72331\n95030 100000\n56344 84505\n15493 23314\n45621 68424\n5718 8592\n49929 74846\n36480 54699\n14856 22349\n29440 44155\n87168 100000\n46048 69055\n19610 29485\n91986 100000\n17749 26668\n899 1364\n17049 25613\n81957 100000\n44991 67469\n25255 37899\n79801 100000\n61109 91674\n85704 100000\n77236 100000\n29572 44342\n83690 100000\n87026 100000\n20180 30337\n66378 99584\n7203 10831\n13862 20839\n94902 100000\n98732 100000\n85380 100000\n51174 76719\n16792 25240\n93386 100000\n62089 93134\n14462 21744\n68964 100000\n87587 100000\n55587 83365\n41624 62432\n36556 54808\n43906 65851\n22216 33361\n746 1139\n69245 100000\n44907 67350\n21238 31923\n43652 65475\n96452 100000\n16858 25342\n82813 100000\n29802 44691\n30893 46363\n74221 100000\n47222 70783\n51378 77016\n80291 100000\n60411 90632\n25574 38360\n55517 83259\n47398 71043\n99624 100000\n10305 15470\n91764 100000\n67386 100000\n83340 100000\n11374 17066\n12009 18026\n52214 78254\n16595 24956\n22889 34347\n28340 42501\n48214 72246\n38863 58270\n16679 25079\n57953 86912\n34604 51899\n64590 96872\n63246 94865\n83110 100000\n45994 68966\n91387 100000\n12096 18158\n49896 74800\n89431 100000\n4360 6566\n51427 77086\n83962 100000\n29902 44839\n77352 100000\n21874 32864\n84664 100000\n12601 18908\n26889 40315\n38722 58064\n83132 100000\n29510 44258\n17932 26942\n10558 15835\n91461 100000\n76023 100000\n52354 78462\n93205 100000\n43576 65366\n84930 100000\n1048 1583\n85026 100000\n29644 44449\n27109 40640\n99266 100000\n35828 53716\n56706 85046\n97610 100000\n84009 100000\n38415 57606\n37088 55610\n35725 53559\n47814 71653\n77206 100000\n3503 5280\n86233 100000\n84144 100000\n72670 100000\n79454 100000\n71124 100000\n31647 47486\n48168 72179\n8095 12155\n93882 100000\n48818 73170\n22687 34054\n25214 37838\n24743 37124\n24382 36592\n28632 42943\n97672 100000\n60304 90468\n20047 30139\n69614 100000\n16230 24403\n63492 95221\n49647 74421\n65868 98812\n8077 12125\n18110 27208\n53369 79999\n44871 67295\n67485 100000\n57909 86846\n14553 21880\n92611 100000\n65928 98906\n17679 26562\n43681 65519\n16370 24611\n13619 20467\n90811 100000\n93238 100000\n84523 100000\n69724 100000\n4552 6851\n26381 39578\n84779 100000\n17773 26704\n57807 86699\n7870 11823\n55429 83118\n60630 90950\n99557 100000\n82990 100000\n36660 54972\n18794 28262\n17254 25935\n76909 100000\n67348 100000\n46294 69407\n19210 28879\n16302 24512\n57657 86477\n70761 100000\n98139 100000\n89544 100000\n12658 18997\n48633 72895\n76095 100000\n33818 50717\n61045 91578\n12362 18553\n82578 100000\n97186 100000\n88246 100000\n38964 58413\n34733 52091\n74733 100000\n48930 73341\n82730 100000\n82614 100000\n20974 31531\n43761 65640\n58746 88113\n22668 34028\n87762 100000\n98310 100000\n32013 48033\n57198 85780\n10021 15041\n42327 63488\n32571 48859\n39066 58562\n39583 59355\n23116 34694\n60838 91267\n50384 75532\n16972 25504\n32127 48206\n90209 100000\n21685 32573\n32773 49158\n24965 37461\n86814 100000\n48757 73081\n41431 62144\n49977 74917\n99763 100000\n87924 100000\n35047 52562\n44327 66480\n63197 94793\n36462 54672\n95060 100000\n51629 77370\n79866 100000\n35394 53075\n32253 48392\n1568 2373\n66426 99655\n3761 5667\n75747 100000\n94726 100000\n20075 30178\n51915 77801\n43188 64775\n70164 100000\n32316 48480\n97940 100000\n48389 72511\n76594 100000\n86843 100000\n60629 90949\n83510 100000\n34088 51112\n54596 81844\n5737 8616\n42223 63340\n61426 92144\n50220 75281\n1229 1862\n77449 100000\n26291 39446\n22114 33212\n46255 69353\n84261 100000\n61184 91784\n25143 37733\n98546 100000\n38744 58097\n55501 83236\n84957 100000\n7369 11076\n73668 100000\n39250 58845\n53813 80651\n81501 100000\n8787 13182\n86873 100000\n16060 24147\n55261 82868\n58456 87692\n41643 62462\n92194 100000\n12842 19271\n68738 100000\n36531 54772\n83300 100000\n55435 83127\n88870 100000\n18210 27360\n71434 100000\n45167 67742\n35148 52714\n61667 92503\n38698 58031\n23447 35185\n56796 85177\n33948 50908\n93412 100000\n16724 25147\n37 57\n65368 98056\n80548 100000\n98408 100000\n56180 84253\n11899 17864\n34813 52215\n5818 8746\n27748 41614\n50308 75415\n4318 6500\n69337 100000\n39528 59266\n32785 49174\n90993 100000\n66538 99823\n14023 21085\n76494 100000\n98127 100000\n66377 99583\n82595 100000\n33406 50093\n64650 96964\n99420 100000\n39690 59518\n96662 100000\n81818 100000\n36247 54343\n17060 25630\n48715 73017\n50064 75039\n52720 79012\n10193 15301\n19953 29999\n63062 94605\n85383 100000\n53958 80876\n19732 29667\n6267 9438\n28222 42321\n8736 13108\n13299 19968\n32906 49355\n29916 44862\n67336 100000\n83954 100000\n68293 100000\n91484 100000\n33820 50720\n35540 53290\n68650 100000\n37767 56631\n4428 6668\n6337 9547\n54717 82029\n70501 100000\n25227 37859\n32600 48897\n62717 94088\n93951 100000\n38496 57732\n40511 60749\n81924 100000\n81561 100000\n6404 9651\n15050 22646\n24419 36647\n35292 52922\n67236 100000\n27333 40972\n51046 76526\n62399 93616\n59444 89167\n10272 15422\n36146 54187\n54550 81777\n73656 100000\n78485 100000\n54015 80957\n61026 91552\n46051 69059\n43545 65322\n65790 98695\n85893 100000\n87099 100000\n63778 95638\n76138 100000\n50867 76261\n87340 100000\n91828 100000\n88416 100000\n90981 100000\n27250 40854\n18085 27171\n99402 100000\n15374 23132\n16678 25078\n90331 100000\n65702 98558\n96633 100000\n84095 100000\n33858 50777\n57596 86382\n67753 100000\n4029 6050\n25588 38380\n46841 70209\n96141 100000\n63924 95864\n71733 100000\n73862 100000\n14 25\n49742 74568\n6586 9907\n62666 94013\n33288 49914\n85100 100000\n95503 100000\n55226 82817\n52235 78283\n25880 38829\n5007 7530\n82098 100000\n61969 92968\n44240 66348\n66936 100000\n36002 53974\n18652 28033\n95632 100000\n59981 89998\n68332 100000\n85620 100000\n35551 53304\n20368 30620\n23981 35993\n88663 100000\n35312 52952\n13776 20708\n91321 100000\n58045 87053\n5934 8918\n47175 70714\n2722 4103\n61842 92773\n61296 91951\n50887 76290\n17304 26014\n78167 100000\n62182 93276\n28638 42952\n68664 100000\n82908 100000\n32784 49173\n88108 100000\n12715 19079\n54711 82021\n38074 57092\n22338 33531\n67609 100000\n18007 27054\n17577 26412\n25238 37874\n60385 90594\n13088 19654\n81441 100000\n79268 100000\n49307 73902\n6957 10458\n85116 100000\n66090 99153\n44016 66019\n47165 70699\n44590 66873\n90990 100000\n26792 40182\n55243 82841\n81686 100000\n16323 24544\n33341 49993\n91835 100000\n14480 21772\n51800 77633\n58654 87973\n55400 83077\n29913 44856\n15898 23909\n48604 72848\n94171 100000\n28854 43282\n3972 5972\n27994 41981\n33038 49548\n88666 100000\n14950 22490\n44018 66021\n88782 100000\n78847 100000\n63304 94946\n5463 8211\n53273 79851\n99422 100000\n13752 20671\n13224 19863\n27368 41027\n40926 61378\n40983 61462\n32404 48616\n73450 100000\n8088 12142\n56215 84309\n4770 7185\n44987 67462\n21316 32040\n82959 100000\n52478 78647\n2942 4441\n44114 66161\n9488 14231\n900 1366\n60909 91376\n75772 100000\n95105 100000\n92439 100000\n11667 17512\n26560 39844\n87351 100000\n87945 100000\n44573 66846\n54050 81012\n96816 100000\n69332 100000\n47897 71770\n68344 100000\n73482 100000\n10956 16432\n66313 99488\n25529 38295\n4476 6735\n9245 13867\n72158 100000\n7119 10707\n29457 44177\n75445 100000\n61141 91718\n98898 100000\n10548 15823\n74793 100000\n31509 47275\n26305 39465\n62874 94325\n54685 81980\n38828 58215\n51424 77082\n3583 5394\n68719 100000\n81068 100000\n45965 68921\n90441 100000\n98992 100000\n61930 92904\n5269 7920\n89975 100000\n35756 53605\n54892 82298\n23437 35172\n45506 68251\n93945 100000\n65299 97944\n72151 100000\n76981 100000\n38338 57489\n76818 100000\n36801 55195\n74682 100000\n58930 88388\n34500 51741\n72939 100000\n82001 100000\n38818 58202\n37036 55535\n53229 79783\n22897 34360\n95240 100000\n40956 61423\n83299 100000\n36410 54595\n37355 56008\n98263 100000\n59840 89783\n87183 100000\n52702 78984\n42605 63904\n48018 71956\n90763 100000\n93511 100000\n40750 61110\n92082 100000\n72232 100000\n7606 11430\n71847 100000\n32743 49117\n11290 16945\n34052 51058\n6758 10164\n18017 27068\n22937 34419\n75633 100000\n78930 100000\n44446 66657\n84210 100000\n81256 100000\n38843 58240\n2899 4375\n3716 5597\n4888 7350\n11291 16947\n20587 30935\n22178 33307\n74339 100000\n13886 20874\n15943 23970\n75867 100000\n20571 30909\n30027 45028\n66971 100000\n59824 89762\n13284 19945\n63607 95392\n54944 82376\n94309 100000\n7893 11858\n98764 100000\n24789 37194\n59605 89420\n67949 100000\n36001 53972\n10169 15266\n44604 66894\n57773 86646\n28517 42771\n90054 100000\n86472 100000\n40288 60410\n45771 68639\n11021 16539\n68283 100000\n29991 44972\n10893 16343\n14557 21886\n27490 41227\n27518 41267\n84915 100000\n72369 100000\n19960 30010\n77704 100000\n39220 58796\n60379 90583\n11455 17193\n92347 100000\n57694 86531\n39110 58625\n20166 30317\n5303 7974\n77833 100000\n36136 54173\n48159 72167\n6507 9791\n80524 100000\n9614 14426\n8712 13071\n84302 100000\n55152 82706\n64037 96038\n20620 30987\n51864 77729\n51441 77104\n41034 61541\n86260 100000\n46171 69231\n28043 42056\n93889 100000\n4214 6343\n76861 100000\n17341 26068\n95366 100000\n28824 43237\n29799 44685\n80805 100000\n91698 100000\n58386 87582\n53771 80587\n20263 30462\n65651 98482\n94941 100000\n39675 59493\n22550 33845\n25058 37603\n5354 8052\n85475 100000\n65808 98722\n12166 18262\n378 578\n71571 100000\n85304 100000\n42756 64127\n42134 63198\n67478 100000\n31665 47513\n73417 100000\n53068 79536\n57968 86933\n79273 100000\n82425 100000\n43982 65967\n59635 89468\n94855 100000\n44488 66720\n57391 86084\n2728 4113\n21041 31632\n24147 36239\n39539 59284\n12070 18121\n14376 21613\n44220 66319\n58820 88223\n15141 22785\n48545 72757\n34259 51369\n32568 48855\n53150 79659\n9822 14739\n80915 100000\n87416 100000\n94010 100000\n66460 99709\n35649 53448\n82342 100000\n94943 100000\n17935 26946\n60521 90791\n55902 83834\n4848 7290\n82634 100000\n16414 24680\n65771 98665\n15249 22945\n5234 7872\n94653 100000\n59533 89307\n17268 25955\n34468 51694\n87539 100000\n96955 100000\n25344 38028\n99530 100000\n13037 19575\n13772 20701\n26355 39541\n13954 20982\n79213 100000\n49989 74934\n55025 82511\n54731 82054\n87900 100000\n4121 6203\n95711 100000\n58825 88228\n90230 100000\n57628 86432\n9626 14444\n88473 100000\n79781 100000\n83794 100000\n80782 100000\n48118 72105\n86700 100000\n52585 78809\n32480 48728\n96729 100000\n27641 41446\n65785 98687\n41724 62587\n93952 100000\n74272 100000\n7061 10616\n1607 2424\n58635 87947\n12496 18750\n95615 100000\n74848 100000\n71072 100000\n43383 65078\n16332 24555\n41239 61853\n52374 78491\n96513 100000\n95814 100000\n46991 70433\n61977 92978\n87559 100000\n83109 100000\n28992 43489\n9139 13698\n97059 100000\n32423 48646\n80273 100000\n46388 69545\n70218 100000\n8255 12397\n98634 100000\n24987 37494\n70162 100000\n19399 29167\n15845 23826\n89129 100000\n99703 100000\n80448 100000\n91071 100000\n61875 92826\n45786 68660\n47346 70972\n85888 100000\n77045 100000\n36845 55251\n75143 100000\n3536 5329\n20665 31053\n20405 30670\n69065 100000\n14678 22078\n36817 55215\n2000 3006\n46557 69794\n1974 2967\n53617 80362\n33927 50877\n67654 100000\n58148 87212\n47389 71032\n88526 100000\n41027 61528\n57041 85547\n22185 33319\n47701 71486\n38689 58017\n56275 84401\n18470 27749\n85612 100000\n63397 95079\n91648 100000\n97567 100000\n68261 100000\n89005 100000\n86663 100000\n74745 100000\n37564 56322\n9683 14528\n56123 84169\n35423 53120\n43872 65797\n8403 12611\n9112 13658\n62126 93186\n81503 100000\n13604 20444\n13319 20001\n28845 43268\n95505 100000\n41833 62758\n67159 100000\n56467 84694\n52489 78664\n17857 26830\n37034 55532\n82749 100000\n26131 39204\n39286 58899\n13701 20597\n6498 9779\n80101 100000\n10096 15151\n20795 31257\n20912 31439\n95959 100000\n48204 72230\n1554 2352\n66614 99932\n75190 100000\n79522 100000\n54019 80963\n71436 100000\n13946 20968\n47593 71324\n93597 100000\n37379 56046\n34000 50981\n44935 67391\n97845 100000\n78088 100000\n15849 23831\n21457 32253\n3781 5698\n64997 97487\n56404 84599\n24607 36914\n8679 13024\n89237 100000\n34014 51003\n9860 14798\n31671 47522\n40914 61359\n30784 46200\n29409 44113\n40340 60487\n35751 53599\n290 444\n82772 100000\n87876 100000\n50444 75623\n85908 100000\n33348 50001\n40359 60516\n87947 100000\n9232 13849\n93017 100000\n72930 100000\n83055 100000\n32414 48631\n54806 82169\n67472 100000\n44123 66175\n26263 39403\n25290 37948\n43325 64991\n96749 100000\n71087 100000\n10451 15685\n14386 21628\n94158 100000\n59942 89936\n6079 9144\n84096 100000\n96589 100000\n2846 4296\n40450 60655\n6458 9722\n9208 13808\n53443 80108\n75006 100000\n792 1203\n57293 85931\n26428 39649\n40093 60115\n50000 74950\n9640 14463\n6810 10235\n85308 100000\n80556 100000\n1602 2418\n34511 51758\n32409 48623\n61043 91575\n79151 100000\n23907 35875\n90670 100000\n51426 77085\n83905 100000\n90513 100000\n62750 94140\n1210 1833\n31340 47026\n22874 34326\n32021 48045\n84931 100000\n92045 100000\n8914 13376\n86186 100000\n70935 100000\n75710 100000\n35290 52919\n21171 31819\n81295 100000\n62777 94182\n37178 55744\n42434 63649\n53787 80609\n10067 15110\n58683 88015\n63060 94601\n11962 17954\n70898 100000\n50881 76279\n80302 100000\n88419 100000\n65266 97889\n75087 100000\n9253 13881\n77749 100000\n82 129\n1729 2603\n61246 91873\n41029 61532\n18891 28410\n52515 78703\n90856 100000\n23376 35080\n41185 61770\n61483 92230\n55849 83756\n10058 15094\n83401 100000\n90850 100000\n53614 80358\n43593 65390\n85621 100000\n77818 100000\n26029 39050\n59285 88925\n4459 6712\n31201 46833\n92754 100000\n60853 91289\n49830 74706\n59003 88496\n59417 89121\n33610 50399\n82685 100000\n29678 44502\n94613 100000\n58170 87244\n24346 36536\n13027 19561\n53529 80232\n5421 8146\n84074 100000\n16501 24817\n52258 78316\n42639 63950\n87510 100000\n74870 100000\n47336 70955\n38235 57337\n6006 9028\n536 823\n10293 15452\n69176 100000\n16863 25349\n69042 100000\n92653 100000\n50776 76122\n98329 100000\n37759 56618\n78621 100000\n17288 25987\n67313 100000\n29806 44697\n68509 100000\n58960 88437\n75249 100000\n12258 18400\n6698 10077\n53602 80337\n90196 100000\n34881 52322\n43974 65955\n64409 96601\n95199 100000\n3749 5648\n98068 100000\n8695 13047\n86852 100000\n56264 84387\n35467 53187\n92757 100000\n65350 98029\n59297 88942\n73274 100000\n60883 91337\n15082 22695\n49807 74671\n19915 29940\n59215 88817\n81072 100000\n59747 89646\n26327 39502\n49841 74723\n28304 42448\n94618 100000\n50380 75527\n18614 27974\n71936 100000\n73587 100000\n29140 43701\n1185 1792\n4522 6804\n60476 90730\n89412 100000\n5742 8625\n94189 100000\n4259 6409\n29007 43508\n80701 100000\n44387 66573\n47864 71724\n91436 100000\n29895 44830\n90793 100000\n90410 100000\n13074 19632\n57850 86754\n55298 82928\n48184 72205\n18305 27502\n38376 57546\n51958 77871\n41453 62176\n74702 100000\n5951 8946\n63951 95898\n79809 100000\n18500 27797\n35889 53808\n25119 37701\n13080 19641\n10202 15313\n9513 14270\n46443 69625\n53194 79731\n55264 82873\n86880 100000\n69550 100000\n88572 100000\n93466 100000\n22151 33265\n63082 94637\n31871 47818\n66305 99475\n14848 22338\n43523 65288\n2374 3570\n73308 100000\n8658 12990\n30084 45112\n82514 100000\n14029 21095\n19955 30002\n29230 43835\n51936 77837\n22432 33669\n59191 88781\n52949 79357\n95898 100000\n60605 90913\n57609 86402\n58175 87253\n85646 100000\n46873 70257\n40830 61237\n53319 79929\n1499 2268\n66876 100000\n36558 54811\n43224 64829\n63715 95545\n80377 100000\n68742 100000\n72997 100000\n6493 9772\n44551 66813\n98104 100000\n10053 15088\n90447 100000\n36488 54709\n16921 25433\n22477 33740\n77499 100000\n61814 92725\n83699 100000\n35247 52859\n35120 52672\n23077 34634\n60125 90212\n19641 29529\n89767 100000\n51047 76527\n27043 40541\n36088 54102\n39185 58733\n92480 100000\n65555 98336\n68666 100000\n51717 77503\n48077 72044\n64292 96427\n55011 82487\n77194 100000\n37008 55491\n82369 100000\n53090 79570\n37920 56860\n48428 72575\n83079 100000\n68339 100000\n91140 100000\n17659 26532\n36353 54510\n82497 100000\n84239 100000\n22309 33492\n74813 100000\n80074 100000\n95996 100000\n99059 100000\n66189 99300\n53276 79856\n46412 69580\n49819 74691\n25048 37586\n80369 100000\n26783 40167\n48183 72203\n32812 49217\n75294 100000\n11875 17825\n37906 56837\n50305 75411\n55157 82714\n13519 20314\n61703 92553\n67429 100000\n88972 100000\n99288 100000\n77668 100000\n93808 100000\n88746 100000\n86228 100000\n48429 72576\n79194 100000\n50528 75748\n67023 100000\n52290 78367\n59475 89218\n68748 100000\n41205 61801\n29599 44383\n37946 56903\n23778 35675\n16534 24863\n74331 100000\n5727 8604\n21746 32667\n50982 76428\n51398 77045\n60701 91057\n16187 24337\n39684 59508\n90002 100000\n84103 100000\n87155 100000\n29001 43501\n94288 100000\n68725 100000\n8092 12149\n38987 58446\n85239 100000\n66660 100000\n86523 100000\n30817 46248\n8362 12554\n27879 41813\n82237 100000\n80286 100000\n15468 23277\n3981 5984\n10404 15610\n70202 100000\n33091 49628\n83521 100000\n54940 82371\n93776 100000\n15103 22729\n89601 100000\n63032 94557\n56487 84723\n93895 100000\n77260 100000\n24882 37334\n80445 100000\n82008 100000\n62356 93552\n80492 100000\n6420 9675\n88635 100000\n65647 98476\n31339 47025\n48735 73046\n8980 13469\n70702 100000\n13042 19581\n59848 89794\n60372 90574\n44615 66911\n58490 87736\n42324 63483\n74582 100000\n89417 100000\n92517 100000\n25181 37791\n46420 69591\n27965 41944\n70986 100000\n35252 52865\n38078 57099\n11218 16832\n5152 7749\n63228 94838\n47157 70687\n63636 95432\n36757 55126\n319 487\n36834 55236\n9589 14387\n88814 100000\n57366 86044\n10070 15113\n5042 7582\n88202 100000\n95625 100000\n66501 99769\n79939 100000\n26592 39892\n79725 100000\n61341 92021\n37119 55656\n21708 32609\n14927 22456\n3948 5941\n1722 2593\n46315 69439\n83217 100000\n78442 100000\n92430 100000\n89841 100000\n79476 100000\n95071 100000\n32653 48977\n57396 86090\n88481 100000\n45822 68715\n28803 43204\n42061 63090\n7015 10547\n23960 35958\n70099 100000\n25250 37892\n33964 50930\n70674 100000\n4753 7154\n31107 46684\n61662 92497\n33946 50905\n7812 11734\n81282 100000\n839 1276\n69673 100000\n3507 5284\n1077 1627\n14105 21211\n21719 32626\n91808 100000\n66023 99049\n38628 57920\n83021 100000\n13881 20868\n21436 32221\n98001 100000\n91640 100000\n5785 8692\n77520 100000\n73135 100000\n52878 79252\n65991 99001\n52277 78346\n14254 21432\n56527 84781\n42977 64457\n1634 2464\n81624 100000\n38252 57362\n4189 6307\n24335 36521\n81984 100000\n21084 31693\n15465 23272\n71799 100000\n84689 100000\n81 127\n74969 100000\n60105 90186\n66913 100000\n49387 74021\n77828 100000\n4058 6101\n79048 100000\n26498 39750\n47995 71926\n43230 64837\n35450 53160\n79006 100000\n78816 100000\n7596 11416\n36148 54191\n42240 63366\n85071 100000\n28931 43398\n28406 42598\n65092 97633\n18933 28472\n74982 100000\n23776 35673\n40430 60624\n66643 99975\n93355 100000\n77401 100000\n23724 35595\n48516 72709\n81651 100000\n10287 15444\n84391 100000\n79842 100000\n55248 82848\n14618 21978\n85377 100000\n2268 3408\n12411 18624\n8638 12963\n98288 100000\n22084 33166\n17333 26058\n94550 100000\n60744 91121\n19456 29251\n71147 100000\n51710 77493\n72221 100000\n50996 76447\n65699 98554\n74382 100000\n56865 85280\n81209 100000\n54195 81227\n98437 100000\n19062 28660\n76824 100000\n14158 21291\n45380 68065\n76153 100000\n52569 78782\n8147 12233\n92538 100000\n77898 100000\n26686 40029\n13984 21022\n38518 57765\n91056 100000\n86549 100000\n44793 67177\n24375 36582\n28637 42951\n16050 24133\n59070 88599\n64314 96459\n54630 81892\n85043 100000\n71253 100000\n59458 89189\n62658 94000\n49643 74414\n80320 100000\n61126 91699\n7719 11595\n42194 63295\n36561 54817\n51316 76924\n87295 100000\n35801 53674\n60181 90288\n86751 100000\n83425 100000\n35998 53968\n56244 84356\n55450 83151\n9300 13954\n49424 74075\n58358 87541\n94371 100000\n98315 100000\n20875 31378\n37464 56174\n56190 84270\n96875 100000\n70234 100000\n24521 36792\n1537 2326\n24218 36342\n69333 100000\n12247 18385\n20275 30479\n15905 23918\n96721 100000\n53528 80230\n57446 86164\n82367 100000\n56801 85185\n10437 15666\n99827 100000\n25644 38466\n90452 100000\n59664 89513\n63029 94553\n90069 100000\n85564 100000\n27294 40921\n46085 69105\n21798 32750\n38489 57720\n20574 30913\n88046 100000\n87409 100000\n12552 18833\n59894 89866\n86741 100000\n93204 100000\n11656 17495\n97367 100000\n74071 100000\n63506 95242\n45116 67664\n14782 22239\n54432 81601\n88391 100000\n99746 100000\n62055 93090\n68256 100000\n93860 100000\n25302 37965\n24578 36874\n54113 81105\n3803 5730\n57799 86686\n62923 94393\n91131 100000\n81524 100000\n14662 22054\n38326 57473\n474 725\n19818 29796\n85024 100000\n59126 88682\n23143 34734\n91598 100000\n99582 100000\n55658 83474\n31578 47380\n15586 23451\n78643 100000\n22020 33072\n90315 100000\n6710 10095\n32578 48866\n37598 56377\n79046 100000\n76843 100000\n6773 10184\n91371 100000\n97021 100000\n53764 80576\n48581 72811\n99641 100000\n10854 16283\n42720 64068\n90142 100000\n90605 100000\n91004 100000\n36577 54843\n20895 31409\n32138 48219\n23605 35419\n79080 100000\n85913 100000\n82608 100000\n72469 100000\n22816 34241\n70969 100000\n99279 100000\n16107 24216\n95125 100000\n43163 64739\n91045 100000\n63380 95058\n24511 36777\n7434 11169\n20003 30076\n83779 100000\n12881 19331\n97060 100000\n1540 2331\n62859 94303\n30066 45081\n80687 100000\n32686 49032\n24079 36133\n55420 83104\n56471 84699\n23151 34748\n96340 100000\n48570 72793\n58785 88171\n31630 47458\n84439 100000\n61441 92167\n62042 93070\n8607 12914\n1404 2122\n27936 41900\n26649 39979\n55492 83219\n61558 92339\n28311 42459\n96976 100000\n94608 100000\n2130 3194\n11819 17742\n65218 97820\n76779 100000\n90490 100000\n26815 40214\n80753 100000\n34642 51954\n10005 15017\n97302 100000\n18024 27079\n39448 59146\n42160 63239\n3104 4681\n78542 100000\n98888 100000\n93850 100000\n35798 53670\n98021 100000\n64465 96683\n56524 84778\n86988 100000\n15406 23182\n2618 3945\n68199 100000\n86556 100000\n65850 98785\n11984 17988\n55689 83521\n81796 100000\n47943 71846\n84348 100000\n74390 100000\n97005 100000\n74374 100000\n95764 100000\n29376 44068\n99195 100000\n32229 48353\n79756 100000\n82857 100000\n65557 98339\n28296 42435\n26293 39449\n27015 40498\n88160 100000\n33188 49769\n82682 100000\n85046 100000\n3493 5267\n57852 86757\n97096 100000\n66303 99473\n81092 100000\n77712 100000\n65470 98203\n48535 72741\n71892 100000\n48445 72600\n35343 52995\n19574 29433\n34464 51687\n27934 41896\n73403 100000\n645 986\n74334 100000\n11881 17834\n94262 100000\n33059 49580\n60114 90198\n85287 100000\n9764 14651\n74119 100000\n49821 74694\n69633 100000\n20755 31195\n19538 29375\n29979 44956\n93347 100000\n46652 69934\n20647 31027\n36936 55383\n5897 8866\n28112 42158\n48036 71980\n47364 70997\n23058 34605\n296 456\n43997 65990\n95334 100000\n99533 100000\n52863 79232\n7491 11256\n56269 84393\n18837 28326\n1924 2893\n12337 18517\n94397 100000\n97581 100000\n57212 85802\n34024 51017\n91311 100000\n78126 100000\n49909 74819\n3800 5726\n63184 94778\n24729 37101\n91303 100000\n2345 3528\n3521 5304\n78453 100000\n10705 16052\n50356 75491\n35913 53846\n49524 74231\n27763 41636\n73769 100000\n23901 35865\n62141 93210\n64228 96332\n43667 65500\n6206 9345\n12049 18091\n41046 61562\n78026 100000\n42940 64399\n97252 100000\n88849 100000\n69103 100000\n34505 51749\n45287 67927\n800 1216\n77413 100000\n82699 100000\n81274 100000\n85419 100000\n85487 100000\n66474 99731\n9535 14307\n2303 3462\n10752 16126\n42648 63963\n6175 9297\n7469 11224\n27998 41988\n45704 68545\n94720 100000\n15116 22748\n99783 100000\n12425 18647\n69359 100000\n2076 3118\n8781 13173\n35238 52844\n98318 100000\n58570 87847\n42236 63361\n17389 26139\n90860 100000\n82351 100000\n62630 93960\n36787 55174\n36642 54945\n63819 95702\n50459 75647\n16591 24948\n49883 74785\n38963 58411\n90215 100000\n76033 100000\n44128 66184\n666 1016\n20137 30274\n70996 100000\n90732 100000\n53136 79637\n96091 100000\n23044 34581\n75080 100000\n17399 26153\n27261 40869\n87810 100000\n1072 1620\n45273 67905\n34702 52047\n70196 100000\n54368 81494\n6276 9450\n43136 64700\n83984 100000\n8048 12080\n59180 88765\n56096 84131\n83783 100000\n95647 100000\n31588 47395\n44614 66909\n28753 43132\n30696 46063\n31152 46750\n99830 100000\n21231 31913\n1683 2535\n62991 94497\n63581 95348\n71833 100000\n49409 74053\n92071 100000\n21642 32516\n8856 13289\n78140 100000\n86246 100000\n25097 37668\n18384 27619\n41857 62796\n14816 22292\n18473 27753\n51187 76738\n87951 100000\n9503 14257\n33218 49815\n71194 100000\n87649 100000\n12110 18175\n69442 100000\n4114 6192\n95107 100000\n80672 100000\n22995 34501\n65065 97593\n48815 73165\n67000 100000\n88102 100000\n2104 3158\n90745 100000\n93940 100000\n98241 100000\n956 1450\n70337 100000\n35980 53942\n85735 100000\n90861 100000\n40367 60529\n17999 27041\n38502 57742\n80676 100000\n1475 2232\n6231 9383\n8500 12751\n76520 100000\n45734 68590\n20958 31505\n31973 47973\n4549 6845\n77844 100000\n14932 22464\n10022 15042\n15196 22864\n78203 100000\n29455 44175\n58590 87876\n8325 12498\n79887 100000\n27895 41838\n55085 82601\n48887 73274\n3470 5236\n49191 73729\n83431 100000\n13296 19964\n20183 30341\n65911 98879\n73819 100000\n87691 100000\n21340 32077\n63085 94641\n37082 55601\n58700 88042\n65891 98852\n63834 95724\n95439 100000\n50445 75625\n48009 71944\n8726 13091\n50940 76366\n50204 75256\n84617 100000\n4180 6293\n61176 91775\n12547 18825\n78330 100000\n99858 100000\n6218 9363\n72041 100000\n79805 100000\n88271 100000\n22893 34354\n4376 6589\n61573 92361\n84842 100000\n54609 81863\n52714 79004\n2648 3988\n38544 57803\n54230 81277\n48945 73364\n74898 100000\n39618 59406\n3412 5150\n26159 39247\n92702 100000\n37198 55773\n42168 63251\n85565 100000\n54469 81661\n25838 38767\n8037 12064\n54335 81439\n94286 100000\n41111 61655\n55595 83378\n72979 100000\n2336 3515\n16434 24709\n32276 48424\n96087 100000\n39033 58514\n87940 100000\n76544 100000\n28176 42253\n44732 67089\n81198 100000\n89688 100000\n96614 100000\n37248 55852\n9092 13628\n49685 74478\n38029 57028\n22629 33968\n10263 15409\n40462 60675\n44712 67059\n35964 53921\n72520 100000\n26280 39427\n9107 13650\n83402 100000\n65214 97812\n26537 39811\n55886 83811\n57472 86202\n93953 100000\n97452 100000\n54718 82031\n80029 100000\n71362 100000\n33097 49638\n7690 11556\n97406 100000\n12452 18685\n15934 23957\n69090 100000\n47154 70683\n77651 100000\n5058 7609\n40489 60718\n92288 100000\n49293 73880\n7423 11154\n34755 52127\n4353 6554\n96093 100000\n75703 100000\n10088 15142\n33652 50463\n61661 92495\n56291 84426\n5874 8832\n77929 100000\n22698 34069\n49958 74888\n17843 26813\n44028 66036\n90955 100000\n23699 35556\n17637 26496\n99984 100000\n71792 100000\n46480 69678\n28364 42539\n317 484\n6894 10362\n93474 100000\n65370 98059\n27171 40735\n58044 87052\n40104 60132\n88432 100000\n54088 81066\n8151 12239\n2495 3760\n72020 100000\n59474 89217\n95383 100000\n73173 100000\n1926 2897\n31377 47078\n83007 100000\n22410 33636\n93546 100000\n55637 83441\n38213 57302\n73672 100000\n61816 92727\n59672 89526\n21931 32943\n43424 65139\n75510 100000\n92930 100000\n26167 39259\n49038 73502\n70638 100000\n63969 95923\n42613 63915\n14459 21739\n54093 81074\n81245 100000\n57090 85617\n10545 15819\n18188 27325\n62701 94063\n25724 38587\n92103 100000\n33535 50285\n17419 26179\n30823 46256\n6787 10203\n67780 100000\n25187 37798\n26983 40449\n20726 31151\n87769 100000\n87178 100000\n83230 100000\n63126 94700\n60088 90157\n68611 100000\n92351 100000\n88545 100000\n74828 100000\n9142 13703\n86165 100000\n35734 53573\n26369 39561\n2584 3897\n25840 38770\n79355 100000\n38322 57468\n51405 77055\n9477 14213\n62497 93764\n70083 100000\n23433 35165\n96439 100000\n53546 80256\n51235 76810\n33421 50116\n41401 62098\n11594 17402\n25502 38260\n65945 98932\n31477 47227\n45286 67926\n34469 51696\n25355 38043\n9957 14949\n47297 70897\n18461 27733\n46041 69043\n68812 100000\n1304 1976\n88981 100000\n78308 100000\n90012 100000\n65629 98449\n33219 49816\n53178 79706\n17 30\n85408 100000\n51256 76838\n79184 100000\n82471 100000\n43205 64798\n53071 79541\n75185 100000\n22841 34274\n53131 79629\n7484 11247\n78293 100000\n59249 88871\n60654 90985\n33508 50244\n31707 47576\n7206 10836\n4022 6041\n67018 100000\n67422 100000\n25292 37951\n6508 9793\n99352 100000\n38373 57541\n93400 100000\n94005 100000\n46438 69619\n48266 72326\n72200 100000\n90485 100000\n62187 93285\n89307 100000\n8891 13340\n13047 19591\n73245 100000\n48762 73087\n93869 100000\n8298 12455\n11151 16734\n71065 100000\n42612 63914\n82085 100000\n44911 67356\n53016 79455\n50831 76204\n77667 100000\n74124 100000\n55678 83505\n18670 28063\n30247 45362\n12229 18361\n18316 27519\n73043 100000\n19302 29013\n68308 100000\n66126 99210\n13571 20391\n90139 100000\n88147 100000\n92382 100000\n34724 52078\n36032 54021\n85170 100000\n66724 100000\n49457 74124\n92070 100000\n40607 60895\n72264 100000\n41961 62948\n76667 100000\n56815 85206\n38946 58386\n74061 100000\n24952 37440\n81764 100000\n59416 89119\n30656 46000\n67048 100000\n52056 78026\n33643 50450\n84334 100000\n979 1485\n53603 80339\n2811 4241\n74707 100000\n83026 100000\n98763 100000\n28823 43235\n53281 79866\n37455 56159\n84662 100000\n71920 100000\n50388 75540\n42918 64368\n98562 100000\n66271 99424\n33984 50959\n29866 44785\n4879 7338\n49414 74060\n85540 100000\n86444 100000\n91009 100000\n53307 79910\n81972 100000\n30522 45792\n61415 92128\n3671 5530\n33183 49762\n65601 98404\n45504 68249\n76261 100000\n25675 38508\n48067 72027\n78567 100000\n44479 66702\n70774 100000\n25239 37875\n43049 64561\n16762 25199\n59292 88934\n84297 100000\n61594 92392\n36856 55266\n94451 100000\n44257 66377\n10104 15166\n8738 13111\n62718 94090\n99171 100000\n61956 92948\n12928 19403\n74053 100000\n62149 93221\n84772 100000\n30882 46347\n76870 100000\n47955 71864\n1506 2279\n80626 100000\n61523 92283\n23372 35074\n3549 5345\n10706 16054\n99570 100000\n63209 94809\n59347 89017\n77650 100000\n34432 51634\n52286 78360\n44998 67481\n52913 79302\n36773 55151\n65393 98092\n75265 100000\n63611 95398\n51305 76907\n95966 100000\n30929 46420\n82655 100000\n71798 100000\n73133 100000\n13064 19615\n47270 70859\n68647 100000\n4961 7464\n39792 59663\n66663 100000\n63122 94693\n10439 15668\n37152 55704\n42964 64436\n1805 2716\n48472 72640\n76455 100000\n68699 100000\n65037 97545\n67148 100000\n20409 30675\n22632 33972\n1076 1625\n44194 66282\n58095 87131\n55563 83331\n72880 100000\n98751 100000\n17796 26743\n18567 27904\n41744 62618\n39670 59485\n48381 72502\n1385 2096\n56845 85255\n12685 19040\n79560 100000\n88674 100000\n62675 94029\n87575 100000\n37304 55935\n63294 94931\n61042 91574\n87987 100000\n46293 69405\n42029 63044\n3159 4766\n73242 100000\n3617 5445\n55199 82778\n63824 95709\n49358 73977\n19467 29271\n455 697\n40012 59994\n28497 42742\n76441 100000\n30600 45911\n9942 14927\n3379 5101\n54252 81309\n49046 73515\n32947 49417\n7750 11645\n84719 100000\n8436 12662\n72833 100000\n48431 72578\n90961 100000\n13737 20650\n89402 100000\n969 1471\n15321 23054\n95956 100000\n16818 25281\n35818 53701\n8784 13178\n33777 50651\n17428 26192\n17306 26018\n83902 100000\n6772 10183\n79763 100000\n22396 33616\n66208 99329\n34039 51040\n86132 100000\n61449 92179\n37059 55566\n70677 100000\n57364 86041\n24698 37053\n60227 90354\n31846 47782\n93163 100000\n73463 100000\n97997 100000\n20579 30920\n75758 100000\n27729 41585\n71052 100000\n14179 21323\n56901 85331\n32451 48684\n17291 25993\n26899 40332\n2391 3594\n85231 100000\n10700 16044\n2118 3177\n19752 29698\n87879 100000\n53286 79874\n3754 5657\n89449 100000\n73559 100000\n34609 51905\n89794 100000\n33255 49869\n53384 80020\n29687 44513\n28897 43343\n74847 100000\n62121 93177\n44726 67079\n11936 17915\n86352 100000\n27938 41904\n43465 65205\n44927 67378\n41082 61616\n15903 23916\n29837 44741\n59360 89037\n61645 92469\n20419 30690\n2905 4384\n38738 58088\n24803 37216\n33756 50619\n66593 99899\n93067 100000\n12196 18312\n74932 100000\n48983 73417\n44740 67100\n94936 100000\n19511 29337\n63501 95235\n14992 22555\n30675 46031\n15257 22956\n5521 8296\n51772 77589\n40275 60392\n3090 4661\n76522 100000\n52628 78873\n92428 100000\n19695 29611\n95146 100000\n18668 28060\n87293 100000\n67425 100000\n35160 52734\n58995 88483\n25050 37589\n41704 62557\n40032 60024\n81352 100000\n34653 51970\n6749 10149\n30291 45427\n59788 89707\n77584 100000\n19494 29312\n50595 75846\n58206 87300\n55913 83850\n30871 46329\n19199 28864\n36659 54971\n22599 33921\n30187 45274\n81264 100000\n75575 100000\n7709 11579\n37997 56976\n73229 100000\n5644 8484\n25882 38833\n21205 31871\n61158 91745\n40132 60177\n30706 46077\n24 38\n10628 15940\n9338 14012\n42628 63935\n63318 94965\n71974 100000\n45045 67558\n74590 100000\n51110 76623\n49606 74357\n78688 100000\n16341 24568\n64097 96130\n82842 100000\n8713 13072\n44700 67039\n29688 44515\n11679 17531\n17616 26469\n29633 44434\n58898 88341\n37384 56052\n29013 43518\n14042 21116\n20932 31467\n6577 9892\n1854 2791\n29868 44788\n58506 87756\n14367 21600\n57566 86339\n94163 100000\n82737 100000\n48448 72603\n97969 100000\n65139 97700\n16537 24866\n1986 2985\n85855 100000\n47644 71403\n58657 87978\n7138 10735\n6140 9240\n87146 100000\n37729 56572\n12093 18155\n35167 52746\n19987 30050\n31129 46716\n75180 100000\n89998 100000\n41026 61527\n8387 12591\n926 1408\n68141 100000\n25705 38556\n67446 100000\n88863 100000\n67746 100000\n22223 33369\n75239 100000\n76018 100000\n65181 97763\n73438 100000\n26456 39691\n68570 100000\n21476 32285\n35062 52586\n43556 65338\n87229 100000\n63233 94847\n93315 100000\n3551 5349\n63054 94592\n48906 73306\n12905 19368\n8849 13278\n95411 100000\n93080 100000\n20712 31130\n48468 72634\n91809 100000\n36253 54353\n87077 100000\n37029 55524\n52994 79423\n37406 56084\n99221 100000\n40366 60528\n99369 100000\n81786 100000\n25217 37842\n99877 100000\n58221 87321\n51181 76729\n95854 100000\n53721 80514\n39718 59557\n58150 87215\n96617 100000\n62644 93979\n4596 6920\n60647 90977\n17997 27037\n90345 100000\n30409 45613\n50991 76440\n54474 81666\n43401 65105\n26483 39728\n26629 39952\n72849 100000\n71851 100000\n51349 76972\n53578 80300\n52650 78908\n64938 97399\n84211 100000\n2797 4220\n37872 56786\n41696 62542\n3969 5968\n85277 100000\n65458 98183\n68598 100000\n86211 100000\n55525 83271\n68061 100000\n55039 82533\n56262 84385\n17797 26744\n46545 69774\n40818 61220\n75976 100000\n83754 100000\n73586 100000\n92970 100000\n45146 67711\n73768 100000\n3032 4577\n79005 100000\n75478 100000\n13872 20855\n1021 1543\n52242 78291\n93554 100000\n96241 100000\n36471 54685\n15684 23596\n36394 54572\n53407 80052\n24873 37322\n24974 37474\n83252 100000\n21056 31652\n1302 1974\n53257 79826\n42498 63742\n81855 100000\n9157 13728\n73362 100000\n14668 22063\n26836 40242\n3777 5693\n41289 61933\n26652 39984\n78223 100000\n43748 65621\n12001 18013\n28740 43108\n82923 100000\n41244 61862\n86964 100000\n22320 33507\n61343 92023\n19010 28587\n82461 100000\n3479 5247\n15741 23678\n36155 54201\n18607 27962\n2096 3145\n32271 48418\n37331 55973\n87076 100000\n2370 3564\n90595 100000\n20532 30852\n789 1199\n27647 41457\n12566 18854\n29157 43726\n40423 60613\n35156 52726\n46674 69965\n17574 26409\n91457 100000\n80218 100000\n66119 99199\n69773 100000\n74313 100000\n29862 44779\n16206 24367\n12054 18097\n20937 31474\n23088 34652\n13747 20664\n94459 100000\n3939 5931\n8778 13169\n89771 100000\n5474 8228\n18402 27647\n14428 21691\n46446 69629\n4084 6144\n24981 37485\n63825 95711\n90201 100000\n46471 69663\n13369 20076\n86970 100000\n78968 100000\n35741 53583\n78119 100000\n54451 81632\n36964 55425\n42154 63231\n63279 94913\n91236 100000\n13611 20454\n47176 70715\n62863 94310\n63585 95356\n51708 77491\n58286 87426\n68427 100000\n11760 17652\n22123 33225\n12969 19466\n29618 44409\n24994 37505\n57193 85772\n42372 63553\n71154 100000\n3924 5908\n57174 85743\n36879 55300\n85214 100000\n49310 73906\n86726 100000\n31961 47953\n95024 100000\n22013 33062\n98238 100000\n20257 30452\n23603 35416\n8458 12693\n27335 40975\n74094 100000\n69458 100000\n36450 54653\n65484 98223\n65330 97993\n38297 57433\n95140 100000\n40833 61242\n90118 100000\n28660 42986\n64760 97126\n95537 100000\n74478 100000\n3354 5063\n25045 37580\n85165 100000\n52833 79185\n39698 59530\n29674 44496\n82076 100000\n40591 60871\n42128 63189\n67761 100000\n96139 100000\n48949 73370\n2585 3898\n47729 71532\n43985 65973\n16737 25164\n65631 98453\n28563 42837\n39280 58890\n87271 100000\n79515 100000\n77747 100000\n52963 79378\n50937 76361\n17218 25876\n16164 24302\n35599 53374\n89512 100000\n28699 43043\n76811 100000\n76297 100000\n97448 100000\n74596 100000\n20134 30269\n31728 47610\n20901 31420\n60813 91229\n42800 64194\n11741 17622\n60406 90626\n32875 49308\n97538 100000\n59089 88624\n45107 67651\n43327 64994\n58568 87844\n35082 52616\n42035 63052\n81637 100000\n64254 96371\n74165 100000\n3706 5581\n76506 100000\n17603 26446\n96696 100000\n97594 100000\n72681 100000\n80948 100000\n5066 7619\n55995 83975\n36945 55395\n3882 5841\n3397 5129\n70359 100000\n23885 35839\n34097 51124\n74964 100000\n4856 7301\n79531 100000\n95230 100000\n81030 100000\n82283 100000\n60516 90783\n54766 82107\n47441 71102\n26130 39202\n3668 5526\n88203 100000\n28575 42855\n10168 15264\n87797 100000\n62697 94058\n75497 100000\n34841 52259\n66329 99509\n45154 67721\n94331 100000\n74145 100000\n98051 100000\n31638 47470\n59169 88749\n97375 100000\n11646 17480\n57374 86059\n73913 100000\n19434 29221\n13645 20507\n94051 100000\n30335 45490\n6871 10327\n67745 100000\n86697 100000\n88369 100000\n74806 100000\n70440 100000\n91621 100000\n22946 34432\n65341 98011\n72364 100000\n69880 100000\n85077 100000\n53118 79607\n46846 70217\n28850 43276\n89280 100000\n26778 40161\n1244 1885\n53918 80815\n974 1479\n14527 21840\n33459 50170\n28248 42359\n79017 100000\n62415 93640\n91483 100000\n35827 53715\n98601 100000\n27630 41429\n43381 65075\n17791 26734\n19161 28809\n1741 2621\n96546 100000\n35916 53850\n5327 8009\n75449 100000\n99879 100000\n49008 73456\n56822 85219\n70592 100000\n47371 71007\n25525 38290\n37790 56669\n44472 66692\n47623 71370\n17123 25729\n67164 100000\n2580 3892\n9542 14317\n47362 70993\n33612 50401\n4155 6253\n18326 27533\n40878 61306\n65561 98344\n67128 100000\n26283 39433\n67230 100000\n81031 100000\n50297 75399\n5483 8241\n19185 28844\n46596 69851\n99166 100000\n43870 65794\n55469 83182\n23079 34637\n70621 100000\n88649 100000\n62709 94076\n91673 100000\n10596 15894\n84475 100000\n87203 100000\n623 955\n34107 51140\n56819 85213\n50346 75474\n75075 100000\n49449 74114\n25038 37570\n17194 25843\n27495 41233\n91209 100000\n4648 6997\n30449 45679\n69482 100000\n75091 100000\n30579 45881\n81867 100000\n43704 65557\n1968 2961\n82632 100000\n76338 100000\n31124 46709\n27709 41549\n72528 100000\n23567 35363\n32292 48444\n90186 100000\n34050 51056\n68861 100000\n5494 8255\n96771 100000\n5125 7710\n42447 63668\n72205 100000\n63961 95915\n22956 34447\n973 1477\n90689 100000\n46546 69775\n97765 100000\n55419 83103\n85210 100000\n2458 3702\n73772 100000\n30989 46517\n30922 46409\n47039 70510\n20432 30709\n16219 24386\n97088 100000\n53741 80543\n35572 53335\n6512 9799\n11598 17407\n31873 47820\n48123 72111\n24498 36757\n40413 60599\n77923 100000\n13757 20678\n24485 36743\n85434 100000\n11026 16546\n58320 87480\n35696 53519\n1180 1785\n61108 91672\n53084 79561\n50037 75004\n99152 100000\n2634 3968\n65035 97542\n1032 1558\n91951 100000\n1386 2097\n45319 67975\n16571 24917\n16142 24269\n97295 100000\n82529 100000\n25730 38596\n49079 73561\n11727 17602\n50189 75233\n69504 100000\n23977 35986\n80251 100000\n97554 100000\n10030 15052\n73386 100000\n78769 100000\n29299 43944\n40447 60651\n14241 21412\n58949 88417\n38257 57370\n20211 30389\n86441 100000\n88832 100000\n75794 100000\n26484 39730\n88864 100000\n49926 74841\n15048 22642\n48225 72264\n63210 94811\n54671 81960\n30165 45238\n45985 68951\n23866 35808\n47538 71241\n44851 67263\n8531 12797\n83724 100000\n85437 100000\n49633 74396\n18401 27646\n61960 92953\n14467 21753\n83264 100000\n94702 100000\n71428 100000\n69180 100000\n40514 60753\n29577 44349\n49700 74500\n15552 23402\n14658 22049\n28471 42703\n27337 40978\n40706 61037\n84029 100000\n68111 100000\n58282 87419\n65525 98289\n44837 67240\n20188 30349\n74879 100000\n69466 100000\n8089 12144\n80256 100000\n94296 100000\n68041 100000\n42 65\n43569 65356\n47803 71640\n42487 63726\n37171 55734\n90052 100000\n6187 9316\n31268 46921\n93350 100000\n29220 43820\n83697 100000\n49270 73840\n32945 49414\n93228 100000\n29005 43506\n35444 53150\n39224 58802\n73542 100000\n19310 29025\n6564 9873\n50192 75239\n7455 11202\n70546 100000\n6070 9131\n3236 4883\n27872 41804\n58916 88364\n31425 47150\n49177 73709\n77516 100000\n21612 32472\n33618 50411\n34603 51897\n46361 69504\n30144 45206\n51375 77012\n47354 70982\n91251 100000\n90982 100000\n44524 66775\n69440 100000\n55168 82732\n88127 100000\n66292 99457\n15275 22987\n59867 89824\n3439 5190\n32577 48865\n56348 84511\n31378 47080\n94969 100000\n47818 71657\n98020 100000\n91834 100000\n4131 6217\n73816 100000\n33983 50957\n98019 100000\n27629 41428\n30940 46437\n30139 45196\n23402 35118\n34873 52309\n79023 100000\n60732 91102\n4891 7355\n84558 100000\n92474 100000\n4982 7494\n89239 100000\n5355 8053\n39105 58617\n18667 28059\n49132 73642\n23254 34897\n3463 5224\n78169 100000\n26563 39850\n82308 100000\n49585 74324\n58540 87807\n12 22\n69696 100000\n61618 92427\n80852 100000\n94659 100000\n28704 43050\n2687 4045\n81445 100000\n45140 67701\n34269 51384\n28008 42004\n42109 63160\n24471 36724\n59731 89619\n41896 62856\n53192 79728\n74528 100000\n33672 50492\n28777 43168\n60268 90412\n93510 100000\n3529 5318\n50046 75015\n68655 100000\n46966 70398\n97352 100000\n40330 60473\n16292 24493\n23870 35814\n349 538\n35399 53084\n96967 100000\n24143 36232\n44530 66784\n71546 100000\n57006 85499\n74450 100000\n38786 58160\n35398 53082\n41243 61860\n95689 100000\n42884 64315\n89676 100000\n90229 100000\n66137 99227\n50644 75925\n8135 12216\n95616 100000\n94195 100000\n5542 8327\n74573 100000\n75638 100000\n34465 51688\n16022 24091\n92507 100000\n53363 79989\n289 443\n27160 40718\n24358 36557\n98556 100000\n94148 100000\n38123 57165\n46082 69100\n21464 32264\n102 159\n33550 50310\n99015 100000\n35713 53542\n46552 69787\n75291 100000\n9923 14899\n67102 100000\n74856 100000\n2167 3253\n45555 68327\n64930 97385\n62876 94329\n62882 94336\n33509 50245\n19403 29174\n54535 81755\n50503 75714\n41513 62267\n81607 100000\n85637 100000\n46850 70222\n17762 26688\n57687 86522\n77184 100000\n73166 100000\n34765 52142\n30602 45915\n51260 76844\n75620 100000\n72713 100000\n18091 27179\n39715 59552\n99520 100000\n47429 71083\n29143 43706\n44421 66622\n80621 100000\n80362 100000\n32053 48094\n35636 53430\n96022 100000\n46493 69696\n63978 95937\n78056 100000\n35142 52705\n18529 27844\n93218 100000\n30100 45135\n59591 89399\n20938 31475\n73639 100000\n1179 1784\n84104 100000\n3638 5477\n57207 85795\n81314 100000\n97048 100000\n14375 21612\n7590 11408\n96906 100000\n96469 100000\n70422 100000\n60765 91158\n12363 18555\n95033 100000\n96195 100000\n9631 14451\n81155 100000\n79971 100000\n35152 52720\n52409 78547\n82121 100000\n79853 100000\n66167 99269\n24074 36124\n30336 45491\n5338 8027\n77637 100000\n85705 100000\n38949 58390\n64787 97168\n62815 94239\n15748 23688\n90868 100000\n52110 78100\n14413 21668\n53416 80068\n15294 23015\n48817 73168\n85875 100000\n82376 100000\n75988 100000\n49164 73689\n77356 100000\n47069 70554\n10174 15273\n74609 100000\n78587 100000\n46626 69895\n48323 72412\n83768 100000\n26200 39306\n7441 11180\n11260 16897\n41078 61611\n92200 100000\n66937 100000\n17190 25835\n87507 100000\n52055 78024\n59314 88966\n43299 64950\n34802 52199\n50484 75684\n71980 100000\n66274 99429\n28701 43046\n19950 29994\n7335 11028\n81421 100000\n49428 74080\n83143 100000\n49226 73779\n44704 67046\n86953 100000\n20570 30907\n9703 14559\n21013 31592\n63766 95617\n47637 71393\n3 6\n24941 37424\n74693 100000\n41742 62614\n98033 100000\n14374 21610\n21793 32741\n77354 100000\n73350 100000\n8005 12017\n32988 49476\n63130 94705\n20491 30797\n21710 32612\n49011 73460\n99735 100000\n28412 42609\n33531 50280\n26695 40041\n44041 66056\n84706 100000\n21652 32527\n91574 100000\n48376 72494\n96503 100000\n45181 67764\n67632 100000\n41409 62110\n13570 20389\n33103 49645\n29372 44060\n28285 42418\n48739 73054\n511 784\n87246 100000\n59192 88782\n46228 69309\n86249 100000\n27140 40686\n61665 92501\n85311 100000\n98584 100000\n21863 32848\n80817 100000\n29104 43644\n94637 100000\n96276 100000\n14896 22407\n38367 57532\n94887 100000\n88013 100000\n99678 100000\n81133 100000\n79910 100000\n93997 100000\n4658 7013\n25331 38010\n6023 9053\n86912 100000\n85879 100000\n10645 15966\n17570 26403\n26024 39042\n84803 100000\n29752 44610\n12436 18663\n43152 64724\n28030 42038\n40979 61456\n51848 77704\n48062 72020\n13246 19894\n98389 100000\n73513 100000\n67244 100000\n95344 100000\n5099 7672\n32811 49216\n5600 8420\n42987 64471\n92565 100000\n95666 100000\n70486 100000\n88816 100000\n36107 54132\n29416 44121\n73630 100000\n18360 27582\n5080 7642\n47501 71184\n81095 100000\n6801 10223\n73946 100000\n75000 100000\n88250 100000\n53847 80705\n54654 81932\n97454 100000\n45948 68898\n52580 78800\n24466 36717\n62254 93389\n62381 93590\n23988 36003\n59922 89906\n81742 100000\n41947 62927\n22108 33203\n76312 100000\n25397 38106\n99935 100000\n38262 57380\n49718 74529\n25422 38143\n94894 100000\n50797 76153\n67304 100000\n42580 63866\n43051 64564\n21613 32473\n50667 75959\n16677 25077\n93270 100000\n54599 81847\n74412 100000\n38586 57861\n66136 99225\n150 229\n67025 100000\n29811 44707\n95981 100000\n48175 72191\n23087 34650\n51126 76648\n70841 100000\n92971 100000\n84582 100000\n67433 100000\n1269 1924\n58432 87652\n79666 100000\n35923 53859\n56119 84163\n27746 41611\n184 281\n58607 87902\n32909 49358\n64779 97156\n67419 100000\n76013 100000\n44176 66256\n878 1333\n62702 94064\n20729 31157\n36594 54872\n99617 100000\n72098 100000\n66422 99649\n37285 55906\n9082 13614\n61963 92957\n9653 14481\n79799 100000\n61795 92694\n20573 30911\n25763 38645\n65676 98520\n91827 100000\n8468 12708\n42669 63991\n98610 100000\n34075 51094\n16475 24776\n91010 100000\n25670 38500\n21176 31826\n86010 100000\n96319 100000\n88960 100000\n57083 85609\n518 796\n7364 11068\n14879 22382\n80080 100000\n27231 40823\n24996 37508\n66710 100000\n67453 100000\n55115 82650\n37411 56092\n78836 100000\n77044 100000\n91024 100000\n22512 33791\n19420 29197\n25507 38267\n16847 25326\n93265 100000\n6019 9048\n12878 19327\n69137 100000\n45333 67996\n86306 100000\n2953 4459\n56946 85404\n65723 98589\n81277 100000\n497 762\n96084 100000\n5976 8984\n29403 44103\n75997 100000\n30578 45880\n73037 100000\n76885 100000\n86668 100000\n51765 77578\n22993 34499\n48963 73387\n40428 60621\n62895 94354\n37448 56147\n43142 64710\n99788 100000\n17318 26035\n29055 43581\n43949 65919\n93295 100000\n62425 93655\n2862 4319\n52496 78676\n29665 44481\n86896 100000\n25482 38230\n3962 5957\n7807 11725\n85656 100000\n85158 100000\n58750 88120\n66108 99181\n19225 28901\n5236 7875\n47645 71405\n7323 11009\n87628 100000\n61531 92295\n70693 100000\n34734 52093\n50718 76035\n84589 100000\n61106 91668\n47347 70973\n77330 100000\n20374 30629\n50890 76294\n34388 51570\n52669 78937\n67785 100000\n57592 86376\n11446 17182\n75793 100000\n93027 100000\n10390 15592\n92121 100000\n74743 100000\n55102 82630\n9212 13815\n47902 71778\n41533 62296\n84146 100000\n73543 100000\n89867 100000\n81808 100000\n10376 15568\n25115 37694\n343 527\n49028 73486\n18276 27457\n42353 63525\n6587 9908\n7729 11612\n86147 100000\n30507 45766\n89902 100000\n19746 29689\n94352 100000\n76489 100000\n89563 100000\n4386 6603\n99589 100000\n89781 100000\n59924 89908\n68672 100000\n1904 2866\n66111 99187\n28934 43403\n69028 100000\n5507 8274\n55935 83885\n33935 50887\n62707 94073\n20232 30417\n4210 6337\n96464 100000\n97166 100000\n66748 100000\n99898 100000\n71404 100000\n63560 95316\n32083 48142\n11024 16543\n56294 84431\n63123 94695\n14284 21476\n91429 100000\n89986 100000\n88871 100000\n73118 100000\n29553 44318\n18756 28204\n3253 4906\n54243 81294\n37631 56429\n55154 82709\n77074 100000\n64630 96934\n21292 32003\n99365 100000\n81279 100000\n32070 48121\n7042 10588\n59575 89371\n96798 100000\n79253 100000\n70549 100000\n88450 100000\n85530 100000\n32883 49320\n14998 22565\n96701 100000\n83619 100000\n15790 23746\n37172 55735\n82428 100000\n61334 92010\n83317 100000\n58665 87990\n28417 42618\n38204 57291\n36812 55209\n57538 86298\n3330 5025\n39498 59220\n55058 82561\n968 1469\n57225 85821\n27122 40659\n20199 30368\n58209 87305\n61068 91612\n89234 100000\n22034 33092\n89588 100000\n22192 33328\n35153 52722\n77547 100000\n2415 3630\n2727 4111\n94324 100000\n42106 63155\n79957 100000\n70011 100000\n44332 66487\n66411 99632\n64180 96259\n55879 83800\n34682 52016\n505 773\n47608 71347\n64131 96184\n93912 100000\n79776 100000\n74254 100000\n32589 48881\n90517 100000\n67329 100000\n42045 63069\n25096 37667\n5382 8092\n49398 74036\n22374 33581\n67645 100000\n96050 100000\n35539 53289\n62304 93467\n56763 85127\n30432 45653\n98969 100000\n82561 100000\n55447 83147\n30746 46137\n52224 78270\n74209 100000\n13161 19767\n98062 100000\n66976 100000\n95704 100000\n68149 100000\n96899 100000\n62038 93064\n85784 100000\n18632 28001\n31645 47482\n79390 100000\n27576 41350\n42397 63591\n44853 67267\n99280 100000\n5667 8517\n3757 5661\n28181 42259\n16278 24472\n54295 81378\n14933 22466\n64050 96059\n14961 22504\n56571 84849\n75254 100000\n44000 65995\n70772 100000\n66922 100000\n70963 100000\n12095 18157\n42887 64321\n19906 29925\n14746 22189\n54296 81379\n29268 43897\n66369 99572\n80899 100000\n52625 78867\n70874 100000\n19603 29476\n37339 55983\n97425 100000\n17286 25983\n24967 37464\n75452 100000\n76675 100000\n4949 7449\n97518 100000\n85886 100000\n66931 100000\n69933 100000\n41812 62724\n81057 100000\n81036 100000\n35896 53820\n68616 100000\n13247 19896\n69993 100000\n41399 62094\n21474 32282\n34857 52286\n49674 74463\n44325 66477\n44234 66341\n69381 100000\n97493 100000\n27526 41276\n62480 93734\n67101 100000\n39703 59538\n42099 63145\n11689 17549\n14471 21760\n35726 53561\n96394 100000\n28771 43158\n29185 43765\n56431 84640\n59322 88980\n57785 86666\n96209 100000\n63288 94925\n25247 37887\n97829 100000\n22980 34482\n13017 19546\n40154 60208\n21712 32615\n27677 41498\n78826 100000\n36262 54367\n9485 14228\n66381 99589\n97358 100000\n75153 100000\n18225 27385\n19739 29679\n73198 100000\n71570 100000\n71113 100000\n56141 84196\n25735 38605\n12873 19320\n11220 16836\n85122 100000\n22440 33682\n36043 54036\n36953 55406\n35719 53550\n14948 22488\n93756 100000\n66399 99616\n43355 65034\n91523 100000\n26111 39177\n19706 29630\n18925 28460\n36754 55120\n99939 100000\n57444 86162\n6202 9340\n98656 100000\n90819 100000\n25382 38084\n21968 32994\n45865 68776\n32356 48545\n24770 37165\n61668 92504\n40064 60075\n17393 26143\n19342 29079\n27561 41327\n35799 53671\n33709 50546\n67096 100000\n73835 100000\n14204 21358\n34598 51891\n22204 33345\n99844 100000\n53856 80719\n89401 100000\n26728 40083\n71747 100000\n29053 43577\n89970 100000\n25145 37737\n85337 100000\n12976 19477\n78153 100000\n50946 76376\n70564 100000\n91847 100000\n68116 100000\n32449 48682\n67474 100000\n15879 23877\n12103 18167\n79625 100000\n8472 12715\n9270 13906\n48462 72625\n86973 100000\n70219 100000\n49576 74311\n77181 100000\n5949 8942\n73283 100000\n23653 35487\n23178 34786\n73781 100000\n85665 100000\n34318 51456\n1080 1632\n31997 48010\n21803 32756\n35406 53093\n40453 60660\n43016 64512\n80754 100000\n36648 54954\n53701 80483\n91942 100000\n4473 6732\n18883 28399\n77567 100000\n42517 63770\n27572 41344\n77992 100000\n78484 100000\n30339 45496\n57321 85974\n778 1185\n60249 90384\n74860 100000\n14899 22411\n21175 31825\n74739 100000\n17634 26493\n96287 100000\n93778 100000\n14068 21155\n79330 100000\n96234 100000\n4757 7162\n21622 32485\n9691 14542\n97746 100000\n16369 24610\n11364 17053\n79090 100000\n74461 100000\n64476 96699\n82689 100000\n57779 86655\n72595 100000\n81868 100000\n26642 39971\n52318 78408\n70933 100000\n31083 46651\n91124 100000\n47863 71722\n66154 99252\n51957 77870\n16065 24155\n15083 22697\n36110 54135\n22100 33190\n10499 15754\n95562 100000\n90788 100000\n4306 6481\n47153 70681\n65038 97547\n44078 66106\n90381 100000\n389 597\n20806 31276\n8632 12953\n58646 87961\n92440 100000\n42701 64038\n96159 100000\n59435 89151\n46683 69977\n69363 100000\n14295 21492\n44400 66591\n25813 38729\n43250 64870\n68070 100000\n93651 100000\n36188 54251\n48798 73140\n34382 51562\n54464 81652\n5083 7647\n2973 4489\n82672 100000\n93535 100000\n27488 41224\n93629 100000\n81692 100000\n27742 41604\n24966 37462\n65019 97516\n31355 47049\n98069 100000\n53352 79976\n25029 37557\n67431 100000\n81514 100000\n20725 31150\n77768 100000\n97574 100000\n63139 94716\n88123 100000\n57511 86258\n88710 100000\n92048 100000\n74130 100000\n36209 54283\n13317 19999\n73152 100000\n12663 19005\n94015 100000\n33585 50362\n72145 100000\n62244 93374\n92681 100000\n30120 45168\n40828 61234\n73357 100000\n12114 18182\n63481 95204\n18278 27461\n31936 47913\n88677 100000\n50016 74971\n34912 52367\n62218 93335\n92408 100000\n65817 98734\n68500 100000\n54699 82003\n84346 100000\n72448 100000\n29134 43691\n37228 55820\n9301 13956\n87417 100000\n9699 14553\n86856 100000\n29928 44880\n39777 59643\n88269 100000\n90455 100000\n30343 45504\n45664 68486\n32339 48518\n8234 12363\n7979 11984\n40302 60432\n23073 34629\n85254 100000\n77873 100000\n90649 100000\n87236 100000\n48463 72627\n31006 46539\n25849 38782\n95934 100000\n10035 15058\n62365 93565\n56869 85284\n45071 67601\n12856 19293\n48147 72150\n95900 100000\n89570 100000\n65233 97843\n3966 5963\n60546 90828\n87792 100000\n11851 17789\n20348 30592\n75285 100000\n47657 71424\n70110 100000\n85536 100000\n61358 92047\n52607 78844\n80641 100000\n33759 50624\n76313 100000\n87855 100000\n46086 69107\n35222 52819\n54360 81480\n66222 99352\n58704 88047\n66174 99278\n79416 100000\n93368 100000\n68267 100000\n13187 19807\n71735 100000\n64508 96745\n84650 100000\n42095 63139\n5788 8697\n5096 7668\n53728 80524\n12228 18359\n99592 100000\n54398 81544\n98513 100000\n98790 100000\n67468 100000\n20879 31385\n87555 100000\n89613 100000\n92225 100000\n90602 100000\n47834 71679\n6553 9856\n46660 69945\n44058 66078\n87923 100000\n64929 97384\n97815 100000\n45747 68608\n41766 62653\n48942 73360\n7196 10822\n57543 86306\n93749 100000\n74170 100000\n86495 100000\n78515 100000\n30236 45346\n30374 45556\n26504 39759\n20101 30216\n64783 97163\n40740 61096\n33080 49612\n96590 100000\n63516 95256\n98987 100000\n9687 14536\n10900 16351\n33171 49744\n44267 66392\n99256 100000\n24421 36651\n12684 19039\n30224 45327\n89740 100000\n68155 100000\n19613 29491\n43502 65257\n96638 100000\n50857 76243\n69238 100000\n74388 100000\n38186 57264\n55444 83144\n57486 86222\n73984 100000\n74273 100000\n45466 68189\n65039 97548\n31204 46837\n51160 76697\n17946 26962\n96248 100000\n5979 8988\n9043 13559\n30337 45492\n76492 100000\n17675 26557\n17483 26272\n51807 77643\n66829 100000\n18021 27075\n85251 100000\n93615 100000\n23180 34789\n1549 2345\n11452 17190\n90304 100000\n23717 35583\n36296 54421\n53459 80131\n82142 100000\n65204 97798\n87849 100000\n12383 18584\n23652 35486\n98003 100000\n65904 98869\n35860 53765\n52956 79368\n79869 100000\n4725 7113\n72764 100000\n64821 97218\n16951 25475\n11798 17712\n61345 92026\n44980 67451\n42500 63746\n30853 46300\n14351 21578\n12968 19464\n32970 49449\n47319 70930\n96596 100000\n52823 79166\n39153 58684\n65184 97767\n90261 100000\n31412 47130\n91153 100000\n64268 96392\n78271 100000\n66199 99315\n37182 55751\n12374 18571\n51466 77135\n16231 24404\n61070 91615\n11112 16681\n7971 11972\n33108 49650\n79690 100000\n41667 62498\n66754 100000\n85527 100000\n90668 100000\n57753 86616\n61649 92475\n90809 100000\n27006 40484\n56831 85232\n64481 96706\n66267 99419\n60704 91061\n72188 100000\n48998 73440\n68188 100000\n84080 100000\n12354 18541\n21566 32414\n86271 100000\n88240 100000\n15179 22838\n52594 78823\n33065 49587\n48438 72588\n66602 99915\n25908 38872\n96393 100000\n74607 100000\n55523 83268\n31374 47073\n35677 53489\n68381 100000\n57960 86922\n12910 19376\n96389 100000\n27806 41704\n72095 100000\n82352 100000\n50030 74994\n10924 16389\n41709 62563\n33923 50872\n17966 26990\n49143 73657\n65216 97816\n43976 65958\n85584 100000\n43004 64496\n87251 100000\n35911 53843\n76805 100000\n39506 59233\n52501 78683\n1937 2912\n94573 100000\n76747 100000\n82635 100000\n41831 62755\n68783 100000\n19030 28614\n99548 100000\n39496 59218\n18621 27983\n99907 100000\n13602 20442\n20492 30799\n31986 47993\n10122 15193\n12511 18771\n16692 25101\n79183 100000\n39883 59798\n41985 62981\n41432 62146\n92018 100000\n70384 100000\n97150 100000\n23655 35490\n84850 100000\n4474 6733\n66310 99483\n16895 25392\n78625 100000\n53138 79641\n89089 100000\n98089 100000\n31407 47122\n34620 51921\n51796 77626\n49276 73850\n51951 77860\n44393 66581\n37308 55940\n53553 80265\n85673 100000\n67131 100000\n81148 100000\n13722 20628\n82046 100000\n46681 69975\n95894 100000\n86568 100000\n37295 55922\n6891 10358\n38423 57618\n24356 36553\n65376 98068\n59227 88835\n51021 76487\n56534 84793\n6116 9201\n45459 68178\n78648 100000\n76794 100000\n68495 100000\n28229 42332\n60196 90310\n28053 42071\n31018 46556\n1584 2392\n67557 100000\n96185 100000\n87858 100000\n24322 36502\n42137 63203\n88398 100000\n53351 79975\n66072 99127\n15024 22602\n33500 50233\n80376 100000\n8829 13249\n99200 100000\n9135 13694\n27625 41420\n50123 75130\n95921 100000\n72921 100000\n22313 33498\n71628 100000\n16600 24962\n97571 100000\n83551 100000\n98301 100000\n14237 21407\n46750 70079\n48481 72656\n7315 10996\n49479 74158\n77298 100000\n27726 41579\n24536 36813\n84508 100000\n87746 100000\n87353 100000\n13585 20414\n48929 73340\n73195 100000\n35088 52622\n39164 58702\n85297 100000\n94621 100000\n64972 97451\n29135 43692\n92512 100000\n15715 23638\n42466 63695\n27414 41105\n93690 100000\n82355 100000\n42412 63616\n41260 61888\n54145 81155\n1175 1779\n23805 35716\n35840 53731\n19251 28939\n20220 30400\n4071 6122\n86537 100000\n65632 98454\n43121 64676\n97648 100000\n46325 69456\n74568 100000\n63195 94791\n24038 36073\n7684 11547\n34586 51872\n61457 92192\n61868 92814\n60265 90408\n91532 100000\n5014 7539\n40901 61340\n30206 45302\n19006 28580\n41146 61708\n27918 41871\n80015 100000\n86376 100000\n21104 31724\n72895 100000\n96170 100000\n11145 16725\n11693 17556\n99122 100000\n25415 38132\n65855 98791\n51570 77285\n7706 11575\n89289 100000\n19298 29007\n15044 22634\n61173 91771\n38221 57315\n29486 44222\n21775 32710\n39339 58984\n39948 59895\n31971 47969\n45162 67735\n37428 56118\n81527 100000\n18578 27920\n57180 85752\n62317 93488\n16023 24093\n59987 90006\n83623 100000\n19445 29235\n42084 63120\n1662 2508\n39233 58817\n47284 70880\n99931 100000\n52184 78209\n88294 100000\n34985 52473\n69754 100000\n1473 2229\n77727 100000\n9718 14582\n86994 100000\n46773 70111\n10465 15706\n4056 6098\n67717 100000\n57666 86493\n92378 100000\n73036 100000\n15827 23800\n42539 63803\n27478 41207\n58332 87499\n4300 6473\n95541 100000\n85183 100000\n3040 4586\n73011 100000\n19947 29989\n36580 54848\n57926 86871\n35339 52990\n77009 100000\n71098 100000\n19426 29207\n37808 56694\n28408 42602\n53482 80161\n99197 100000\n90749 100000\n63274 94907\n30541 45822\n97458 100000\n89507 100000\n68874 100000\n66953 100000\n23754 35639\n43676 65512\n704 1076\n64260 96381\n90795 100000\n96489 100000\n88886 100000\n22992 34497\n76849 100000\n58569 87846\n94180 100000\n43733 65600\n88194 100000\n39384 59049\n24754 37140\n79757 100000\n73179 100000\n94736 100000\n8437 12663\n51633 77376\n79996 100000\n30588 45896\n31854 47794\n61859 92799\n15518 23348\n9248 13873\n80380 100000\n58814 88214\n51788 77614\n83598 100000\n97361 100000\n64280 96409\n36954 55408\n67016 100000\n69732 100000\n49707 74512\n26618 39933\n1363 2065\n58640 87954\n81210 100000\n17056 25623\n34778 52160\n90156 100000\n52049 78016\n81078 100000\n79840 100000\n46714 70023\n38849 58249\n13254 19905\n68038 100000\n15500 23324\n10695 16035\n52697 78976\n74530 100000\n18134 27241\n26300 39458\n87795 100000\n28076 42105\n756 1153\n67306 100000\n63312 94958\n66221 99350\n45147 67713\n1879 2829\n13257 19910\n58826 88229\n38009 56994\n43167 64746\n33985 50960\n366 563\n12121 18194\n69109 100000\n91239 100000\n93641 100000\n88528 100000\n90368 100000\n52610 78848\n66558 99848\n23420 35147\n14144 21271\n89541 100000\n87389 100000\n3362 5075\n33796 50685\n2234 3355\n43368 65054\n5574 8381\n82847 100000\n86624 100000\n60167 90270\n59080 88612\n22718 34097\n95865 100000\n86831 100000\n77334 100000\n14150 21279\n38168 57238\n71059 100000\n2945 4446\n46047 69053\n63673 95487\n59083 88616\n71366 100000\n26035 39059\n73472 100000\n29683 44508\n38709 58047\n38990 58450\n22044 33106\n5211 7836\n42114 63167\n45831 68728\n27556 41319\n18542 27866\n78121 100000\n75662 100000\n53949 80861\n89815 100000\n11975 17974\n63310 94955\n7681 11542\n81839 100000\n55742 83601\n32456 48691\n96999 100000\n73299 100000\n31350 47042\n8603 12908\n43625 65436\n47145 70670\n63509 95246\n61526 92289\n76763 100000\n1639 2472\n4204 6328\n30781 46194\n14305 21507\n98097 100000\n54246 81300\n13965 20996\n28198 42284\n17812 26765\n18729 28160\n59950 89950\n89035 100000\n12593 18894\n66533 99816\n9624 14442\n34181 51255\n32211 48325\n85578 100000\n65640 98466\n78027 100000\n23207 34829\n32805 49207\n21355 32097\n77512 100000\n31145 46739\n19866 29869\n72586 100000\n46216 69292\n33384 50057\n89100 100000\n27280 40895\n40757 61122\n27731 41588\n48864 73240\n25752 38631\n75362 100000\n69995 100000\n60785 91187\n5811 8733\n20883 31392\n50537 75761\n8789 13186\n14734 22169\n68161 100000\n28513 42766\n60016 90046\n34415 51609\n39860 59764\n62261 93400\n96840 100000\n66497 99763\n45136 67695\n37982 56955\n40902 61341\n96056 100000\n23748 35631\n7881 11837\n3956 5951\n39420 59102\n78338 100000\n44558 66824\n17832 26796\n73398 100000\n29156 43725\n97111 100000\n94025 100000\n11242 16867\n44824 67221\n6505 9788\n72363 100000\n66797 100000\n91219 100000\n44861 67277\n4884 7344\n43409 65115\n80279 100000\n72826 100000\n85914 100000\n32082 48140\n24434 36668\n52003 77942\n4987 7504\n80956 100000\n20813 31287\n21571 32420\n22639 33984\n45195 67783\n24568 36860\n29828 44728\n97483 100000\n56325 84478\n57389 86082\n21768 32700\n10506 15763\n54111 81101\n7421 11152\n30228 45333\n76634 100000\n48825 73181\n36457 54665\n19158 28806\n17041 25601\n90760 100000\n87130 100000\n34253 51359\n53182 79713\n46809 70162\n31230 46870\n92663 100000\n61747 92620\n88852 100000\n40380 60551\n46234 69319\n8318 12486\n28846 43270\n38588 57864\n82190 100000\n22230 33379\n19783 29745\n24812 37231\n39685 59510\n48108 72091\n48750 73072\n80889 100000\n16641 25023\n72350 100000\n99210 100000\n63006 94518\n15208 22880\n62413 93637\n92536 100000\n893 1355\n51810 77648\n25152 37749\n92412 100000\n97467 100000\n7217 10854\n84393 100000\n57509 86256\n62623 93949\n53672 80440\n60989 91496\n68675 100000\n48501 72684\n49593 74335\n68915 100000\n38333 57484\n76196 100000\n25627 38438\n71247 100000\n25831 38758\n18318 27522\n58817 88218\n8761 13146\n36896 55323\n68845 100000\n81494 100000\n77926 100000\n58114 87161\n60449 90691\n50086 75072\n62671 94022\n10198 15309\n27493 41231\n65490 98233\n45058 67579\n25208 37830\n2493 3756\n80673 100000\n17593 26432\n8650 12977\n85427 100000\n97070 100000\n54025 80970\n33634 50435\n19313 29030\n51250 76830\n73343 100000\n9196 13788\n49710 74516\n52910 79297\n29567 44334\n93034 100000\n6591 9914\n77622 100000\n52064 78036\n4650 6999\n31305 46976\n25686 38523\n9243 13863\n66762 100000\n990 1501\n14968 22516\n32370 48565\n58861 88282\n4974 7484\n70571 100000\n99754 100000\n73439 100000\n83032 100000\n56665 84986\n52573 78788\n48402 72531\n27899 41843\n36721 55064\n86068 100000\n35173 52754\n54794 82150\n81509 100000\n52387 78510\n54405 81555\n86072 100000\n4304 6478\n69205 100000\n4820 7253\n9817 14731\n62899 94361\n52916 79307\n77104 100000\n45964 68920\n12069 18120\n54970 82416\n90832 100000\n17827 26788\n67755 100000\n83482 100000\n77910 100000\n60030 90069\n55462 83171\n29153 43721\n55943 83897\n53062 79529\n36217 54296\n11637 17467\n95049 100000\n61232 91853\n92763 100000\n10996 16497\n19775 29734\n79398 100000\n81774 100000\n7394 11112\n38657 57966\n75690 100000\n21026 31610\n88679 100000\n57025 85526\n60094 90168\n3289 4963\n80571 100000\n20209 30385\n53711 80497\n40100 60126\n76860 100000\n13370 20078\n74787 100000\n95321 100000\n53832 80682\n48246 72294\n17343 26072\n30423 45636\n86539 100000\n70370 100000\n69930 100000\n16514 24833\n5721 8596\n2115 3173\n10013 15029\n17614 26466\n38072 57089\n90476 100000\n672 1025\n13380 20094\n62594 93905\n84817 100000\n67913 100000\n97742 100000\n30069 45085\n91524 100000\n79085 100000\n66769 100000\n69281 100000\n52539 78739\n15157 22807\n1090 1646\n74830 100000\n86209 100000\n19794 29762\n95805 100000\n22708 34084\n64499 96732\n93903 100000\n55186 82757\n19939 29978\n44235 66342\n15723 23652\n40001 59976\n95064 100000\n74428 100000\n27505 41248\n21603 32462\n16143 24271\n95048 100000\n73212 100000\n59802 89726\n42247 63374\n55940 83891\n78202 100000\n31455 47194\n26141 39221\n85044 100000\n32860 49286\n81734 100000\n66707 100000\n72345 100000\n87282 100000\n58806 88203\n63419 95113\n44382 66565\n70303 100000\n98503 100000\n32894 49337\n79341 100000\n48986 73422\n45613 68414\n4264 6416\n93308 100000\n58979 88462\n79579 100000\n61461 92197\n10361 15549\n88153 100000\n20602 30959\n28529 42788\n6866 10319\n50415 75581\n78356 100000\n87623 100000\n43714 65571\n59161 88737\n76858 100000\n13110 19687\n80370 100000\n40915 61361\n14548 21872\n97883 100000\n51973 77896\n43398 65101\n16819 25283\n41910 62876\n19865 29867\n9509 14264\n86231 100000\n83531 100000\n74650 100000\n55714 83559\n81336 100000\n71780 100000\n25142 37731\n12460 18697\n94230 100000\n84055 100000\n88263 100000\n68966 100000\n15722 23650\n18780 28238\n96477 100000\n16985 25523\n12347 18532\n9144 13707\n98600 100000\n46247 69340\n54348 81461\n91588 100000\n89922 100000\n33227 49827\n12869 19313\n43957 65931\n32197 48304\n78617 100000\n5141 7735\n59066 88591\n31744 47634\n24796 37205\n41462 62190\n1877 2826\n22556 33857\n93805 100000\n37457 56162\n27799 41692\n32447 48680\n22649 34000\n9525 14289\n16415 24681\n73411 100000\n50879 76276\n92084 100000\n28679 43015\n14364 21595\n39676 59494\n84926 100000\n75910 100000\n97853 100000\n55188 82759\n75709 100000\n1245 1886\n80423 100000\n36336 54482\n68060 100000\n75447 100000\n52888 79267\n69127 100000\n9132 13688\n16575 24923\n97951 100000\n10995 16496\n98260 100000\n12792 19195\n85984 100000\n39107 58620\n218 335\n50971 76413\n12993 19506\n50782 76132\n73110 100000\n17204 25858\n62026 93047\n52982 79401\n6671 10034\n6109 9190\n7629 11465\n83826 100000\n96024 100000\n96501 100000\n98742 100000\n92740 100000\n96356 100000\n89309 100000\n41527 62288\n41718 62578\n67250 100000\n82164 100000\n54237 81287\n7687 11551\n95910 100000\n31370 47069\n63575 95338\n17814 26768\n30362 45534\n56953 85414\n7312 10991\n27554 41317\n44648 66960\n59900 89873\n45250 67871\n36108 54133\n66803 100000\n9531 14301\n12932 19410\n35490 53216\n47162 70695\n73525 100000\n90255 100000\n66363 99562\n4158 6258\n10526 15788\n98080 100000\n56362 84533\n99295 100000\n55644 83453\n35254 52869\n22431 33668\n32384 48584\n97998 100000\n74664 100000\n50813 76175\n94294 100000\n97129 100000\n19801 29774\n88485 100000\n77375 100000\n3546 5342\n34997 52490\n29671 44491\n18771 28225\n22535 33823\n54543 81768\n25715 38575\n35362 53024\n88926 100000\n68498 100000\n93528 100000\n53274 79853\n3633 5471\n21264 31962\n53132 79630\n30395 45590\n35581 53348\n67310 100000\n66998 100000\n44491 66725\n15492 23313\n77132 100000\n3785 5703\n60003 90029\n33651 50461\n57545 86309\n37393 56064\n80834 100000\n77843 100000\n99096 100000\n67209 100000\n37017 55505\n77266 100000\n33560 50326\n76217 100000\n23570 35367\n35698 53522\n47449 71114\n36631 54928\n62167 93251\n94965 100000\n62386 93598\n53669 80436\n47220 70780\n58706 88050\n60288 90443\n75315 100000\n18816 28296\n18988 28555\n44970 67436\n87584 100000\n78267 100000\n55799 83688\n65714 98576\n96252 100000\n52571 78784\n86429 100000\n41100 61641\n81511 100000\n47112 70617\n46467 69657\n42289 63434\n83123 100000\n65212 97809\n98034 100000\n5368 8075\n16704 25118\n41161 61732\n26791 40180\n20395 30656\n10468 15709\n3318 5008\n59540 89319\n71837 100000\n5473 8226\n36764 55136\n27542 41302\n25822 38743\n20082 30188\n63622 95413\n95642 100000\n24486 36744\n57106 85641\n15660 23558\n99354 100000\n3788 5709\n57445 86163\n58735 88096\n3859 5807\n44703 67045\n45859 68767\n47499 71181\n87315 100000\n56512 84759\n75367 100000\n82603 100000\n61061 91602\n96162 100000\n57059 85574\n18852 28349\n39039 58524\n62516 93794\n75421 100000\n80851 100000\n85486 100000\n67811 100000\n60910 91378\n2310 3471\n86587 100000\n74301 100000\n89407 100000\n22835 34265\n3177 4794\n44297 66435\n62919 94387\n19407 29179\n36435 54629\n63877 95792\n93622 100000\n50259 75342\n72362 100000\n67284 100000\n55495 83225\n18688 28093\n21640 32513\n59847 89792\n56102 84138\n91338 100000\n94480 100000\n93465 100000\n44359 66529\n14147 21275\n87835 100000\n43254 64876\n62900 94362\n39694 59524\n31076 46641\n57672 86502\n94649 100000\n68717 100000\n14489 21783\n33623 50418\n25425 38148\n80397 100000\n59163 88740\n84320 100000\n57000 85487\n880 1335\n96229 100000\n90766 100000\n28116 42162\n94224 100000\n27852 41774\n58946 88411\n92339 100000\n58807 88204\n68384 100000\n66980 100000\n62440 93676\n24525 36797\n98248 100000\n20037 30125\n66216 99342\n59860 89813\n4881 7340\n34011 50998\n36424 54615\n7538 11329\n79782 100000\n16027 24099\n30237 45348\n99436 100000\n67283 100000\n43752 65627\n14650 22034\n39497 59219\n80722 100000\n74961 100000\n70548 100000\n64183 96262\n12611 18922\n90782 100000\n9500 14252\n77477 100000\n82615 100000\n16146 24275\n20975 31532\n56612 84909\n5201 7823\n22541 33831\n44417 66615\n80750 100000\n16567 24912\n15109 22738\n99960 100000\n20801 31268\n97789 100000\n20333 30567\n64994 97484\n85861 100000\n67853 100000\n49490 74175\n76661 100000\n7457 11205\n81776 100000\n53948 80859\n79379 100000\n69225 100000\n48647 72913\n40831 61239\n29475 44205\n2678 4033\n67680 100000\n78852 100000\n77137 100000\n64128 96178\n89704 100000\n16832 25302\n36597 54877\n40304 60434\n26256 39393\n47063 70546\n11665 17508\n86358 100000\n45450 68164\n28635 42947\n34068 51082\n8589 12887\n35231 52832\n87126 100000\n48358 72466\n3838 5777\n21297 32011\n91572 100000\n98287 100000\n28981 43473\n78842 100000\n43687 65528\n14771 22223\n22886 34343\n59885 89852\n760 1159\n52835 79188\n92283 100000\n80026 100000\n25716 38576\n53079 79553\n12737 19114\n63044 94576\n87501 100000\n87388 100000\n92504 100000\n23500 35261\n13312 19991\n21126 31753\n27396 41075\n93385 100000\n87128 100000\n11702 17570\n30683 46042\n62486 93744\n93171 100000\n55828 83725\n5008 7531\n7126 10717\n70588 100000\n60759 91149\n66074 99130\n30924 46413\n96745 100000\n14780 22236\n46766 70102\n29418 44124\n72304 100000\n54508 81715\n83266 100000\n64754 97118\n37890 56814\n26208 39319\n6490 9767\n54004 80940\n31841 47775\n8180 12282\n55987 83962\n32312 48474\n51562 77273\n38148 57204\n41536 62301\n23043 34580\n66493 99755\n47254 70832\n84762 100000\n68513 100000\n29249 43866\n38131 57175\n92233 100000\n1779 2678\n32308 48469\n69535 100000\n226 347\n6860 10311\n49676 74465\n94548 100000\n620 951\n24206 36323\n73847 100000\n61005 91520\n48120 72107\n1135 1716\n44122 66174\n88370 100000\n53314 79921\n23712 35576\n9193 13784\n14579 21917\n56999 85486\n67820 100000\n53264 79836\n54565 81796\n81560 100000\n55257 82863\n26115 39181\n21960 32984\n44002 65999\n73549 100000\n14327 21542\n37569 56328\n88093 100000\n3865 5817\n81534 100000\n16097 24202\n57129 85675\n59298 88943\n40513 60752\n31537 47317\n46161 69216\n31478 47229\n26211 39324\n88588 100000\n22002 33045\n63065 94610\n53714 80503\n82838 100000\n52928 79326\n12892 19348\n78972 100000\n62134 93198\n55051 82551\n45392 68084\n14894 22405\n97943 100000\n64739 97097\n16652 25040\n91456 100000\n99613 100000\n49225 73778\n34247 51351\n49306 73900\n1313 1989\n25843 38775\n14457 21737\n58894 88334\n36041 54033\n89895 100000\n43396 65097\n16516 24836\n65811 98726\n20876 31380\n49594 74337\n56418 84620\n80025 100000\n43868 65791\n43458 65196\n81709 100000\n97991 100000\n9834 14755\n4103 6174\n20734 31163\n11007 16516\n86625 100000\n90240 100000\n12286 18439\n43042 64551\n68216 100000\n49814 74683\n8999 13495\n16697 25106\n21753 32679\n76252 100000\n36505 54734\n89978 100000\n39097 58605\n93089 100000\n94584 100000\n22244 33396\n14681 22082\n38049 57057\n25105 37679\n92026 100000\n80078 100000\n54249 81304\n36240 54331\n51144 76673\n79513 100000\n96608 100000\n5842 8783\n91915 100000\n29331 43998\n37432 56123\n74668 100000\n74931 100000\n45179 67762\n6464 9730\n82467 100000\n56981 85458\n11795 17707\n41219 61823\n49863 74754\n11793 17703\n35530 53274\n33597 50380\n43795 65687\n58917 88366\n5045 7587\n17377 26123\n78992 100000\n20400 30663\n58174 87251\n80097 100000\n79610 100000\n70047 100000\n54814 82182\n93215 100000\n98291 100000\n98651 100000\n18731 28164\n66005 99022\n95708 100000\n49563 74293\n93185 100000\n6148 9251\n97544 100000\n35792 53661\n71513 100000\n91957 100000\n56071 84090\n27912 41863\n73931 100000\n75692 100000\n65888 98847\n41783 62680\n47257 70837\n37519 56255\n75460 100000\n34616 51914\n65087 97626\n54261 81323\n47402 71047\n82207 100000\n44236 66343\n19937 29976\n46265 69366\n14883 22388\n38908 58333\n31587 47394\n62172 93261\n63975 95932\n11671 17519\n9951 14939\n85832 100000\n96145 100000\n93194 100000\n80009 100000\n79916 100000\n65506 98257\n59456 89185\n83518 100000\n96718 100000\n51580 77299\n66715 100000\n56922 85368\n45730 68585\n13113 19692\n52970 79386\n13781 20715\n47736 71541\n91409 100000\n4301 6474\n97932 100000\n20207 30382\n87962 100000\n21965 32990\n94084 100000\n31785 47693\n66455 99701\n83420 100000\n25989 38989\n99329 100000\n3936 5926\n20167 30318\n47462 71130\n98059 100000\n93095 100000\n38819 58204\n37187 55758\n13687 20573\n66285 99448\n34160 51224\n41689 62530\n1945 2926\n28016 42016\n80593 100000\n68240 100000\n37279 55898\n76645 100000\n57449 86169\n82232 100000\n87659 100000\n45936 68879\n46481 69679\n69232 100000\n20515 30830\n28042 42055\n82433 100000\n43528 65296\n80055 100000\n53605 80343\n22847 34282\n65983 98987\n12047 18087\n19532 29366\n63545 95295\n48989 73428\n70970 100000\n19743 29685\n9174 13754\n24113 36190\n33143 49703\n55686 83516\n2399 3604\n6693 10069\n92928 100000\n18275 27456\n55484 83207\n21508 32327\n88303 100000\n42059 63086\n79150 100000\n65179 97760\n61023 91547\n44121 66173\n54332 81434\n17943 26958\n65366 98053\n34248 51353\n86290 100000\n59388 89077\n37281 55901\n34753 52125\n15836 23813\n71574 100000\n91179 100000\n11228 16848\n2803 4228\n93018 100000\n74423 100000\n2919 4404\n26918 40359\n26682 40023\n74222 100000\n73551 100000\n18568 27905\n69252 100000\n89287 100000\n39439 59132\n6554 9857\n206 317\n61168 91762\n69456 100000\n2600 3920\n87240 100000\n19278 28977\n21096 31712\n40325 60465\n2969 4483\n52794 79123\n94577 100000\n72167 100000\n89877 100000\n85973 100000\n49275 73848\n88397 100000\n54472 81664\n92100 100000\n42970 64446\n16751 25184\n45736 68593\n59366 89043\n4313 6493\n73181 100000\n13060 19609\n23211 34837\n35430 53129\n55541 83295\n52433 78583\n24697 37051\n39662 59473\n36943 55392\n82188 100000\n57655 86474\n21345 32083\n4629 6971\n81562 100000\n4471 6729\n57639 86447\n8176 12276\n57855 86762\n80843 100000\n97055 100000\n10118 15188\n40300 60428\n28224 42324\n47218 70777\n46892 70285\n98882 100000\n26023 39041\n38633 57928\n68354 100000\n41341 62010\n14712 22134\n14761 22211\n86851 100000\n29948 44910\n612 937\n6642 9994\n73555 100000\n90707 100000\n56324 84477\n88968 100000\n20286 30494\n88556 100000\n76744 100000\n13845 20810\n37813 56701\n60111 90194\n64588 96868\n11783 17689\n76516 100000\n38177 57253\n71316 100000\n7507 11282\n43431 65148\n85358 100000\n72112 100000\n11298 16958\n76377 100000\n95445 100000\n49082 73565\n42822 64226\n82141 100000\n92718 100000\n70608 100000\n13032 19568\n77510 100000\n23892 35850\n35191 52779\n38012 56999\n69681 100000\n4670 7029\n52971 79387\n50689 75990\n89622 100000\n27646 41455\n79280 100000\n90396 100000\n41997 62997\n52306 78392\n2187 3287\n74762 100000\n97132 100000\n92706 100000\n84283 100000\n71823 100000\n2762 4165\n12344 18527\n71462 100000\n50351 75483\n84086 100000\n57051 85561\n27203 40778\n42638 63948\n71400 100000\n79992 100000\n97307 100000\n45115 67662\n24613 36923\n55722 83571\n22090 33176\n44007 66008\n8707 13065\n55359 83016\n64093 96123\n31458 47198\n63374 95049\n28329 42485\n48300 72379\n74636 100000\n40037 60031\n73617 100000\n79039 100000\n99749 100000\n87512 100000\n82907 100000\n11509 17273\n59588 89394\n51960 77874\n40986 61466\n65802 98713\n35910 53842\n13357 20061\n26523 39790\n78547 100000\n70698 100000\n19726 29659\n29610 44398\n94904 100000\n45113 67659\n31696 47560\n8918 13382\n78434 100000\n51942 77846\n39032 58513\n5070 7625\n56150 84209\n13887 20876\n97662 100000\n65051 97569\n80526 100000\n65789 98694\n95430 100000\n55767 83641\n68218 100000\n92979 100000\n78578 100000\n23130 34714\n51470 77141\n76521 100000\n40984 61463\n74979 100000\n93664 100000\n52766 79078\n89804 100000\n1953 2938\n94316 100000\n50005 74957\n48793 73132\n15930 23952\n80856 100000\n9621 14436\n58080 87109\n68217 100000\n37656 56467\n8664 12999\n73410 100000\n24360 36559\n43038 64544\n42807 64205\n52620 78860\n47948 71854\n37536 56275\n329 502\n46192 69260\n52979 79397\n50538 75763\n72172 100000\n98508 100000\n17670 26550\n15816 23786\n1675 2526\n53829 80678\n91586 100000\n12582 18879\n1591 2400\n7919 11901\n37465 56176\n34102 51131\n26754 40122\n95735 100000\n94529 100000\n43595 65393\n5575 8382\n29954 44919\n29951 44914\n42209 63317\n10230 15357\n46002 68978\n61521 92280\n46792 70138\n50262 75346\n16462 24753\n80979 100000\n88687 100000\n17331 26054\n25089 37655\n60152 90250\n17337 26062\n49372 73997\n91584 100000\n29032 43548\n18939 28480\n95639 100000\n45978 68940\n56495 84733\n83732 100000\n20549 30875\n25541 38313\n15332 23072\n66499 99765\n12515 18776\n2741 4133\n30370 45548\n19898 29913\n26269 39411\n83421 100000\n87257 100000\n84751 100000\n71221 100000\n75005 100000\n8106 12171\n77804 100000\n53540 80248\n49436 74092\n66293 99459\n35187 52773\n78370 100000\n76604 100000\n43952 65923\n92287 100000\n58202 87293\n92791 100000\n24332 36517\n89182 100000\n57329 85986\n22786 34194\n44619 66917\n82464 100000\n46401 69563\n7096 10671\n96166 100000\n86442 100000\n24402 36623\n96874 100000\n30251 45368\n98137 100000\n70179 100000\n17486 26277\n12953 19442\n17045 25607\n59610 89428\n21193 31851\n43857 65774\n21406 32174\n2878 4343\n20962 31513\n25147 37740\n60040 90085\n49154 73676\n88927 100000\n17533 26346\n47812 71651\n63154 94736\n9076 13605\n6717 10105\n72704 100000\n87154 100000\n52000 77938\n70763 100000\n81890 100000\n90287 100000\n73467 100000\n48532 72735\n83430 100000\n80812 100000\n46095 69120\n53924 80824\n81485 100000\n58902 88347\n43237 64850\n54454 81637\n32080 48136\n89487 100000\n10709 16059\n86681 100000\n15177 22835\n10285 15441\n70882 100000\n34009 50996\n23464 35208\n81803 100000\n63095 94656\n67625 100000\n24822 37246\n40201 60285\n87304 100000\n55939 83890\n7025 10564\n7593 11412\n54235 81285\n73514 100000\n3171 4786\n25518 38281\n55540 83294\n4829 7265\n32445 48677\n66295 99462\n91183 100000\n66712 100000\n51792 77619\n2747 4142\n6920 10398\n38542 57800\n12365 18558\n7008 10535\n54560 81790\n73260 100000\n39622 59412\n85916 100000\n23350 35042\n65870 98816\n55480 83200\n88173 100000\n61980 92982\n81271 100000\n54776 82121\n6901 10373\n97792 100000\n67583 100000\n80870 100000\n46451 69636\n96380 100000\n5826 8760\n42885 64317\n17068 25643\n78220 100000\n79068 100000\n67261 100000\n42140 63207\n37251 55856\n60927 91405\n32314 48476\n86530 100000\n52412 78552\n98050 100000\n55716 83562\n15585 23449\n28099 42140\n3909 5886\n5490 8251\n83585 100000\n69926 100000\n16606 24970\n78010 100000\n37839 56739\n61752 92627\n12517 18780\n59905 89882\n33999 50980\n62832 94267\n21702 32597\n80670 100000\n27618 41411\n716 1091\n85281 100000\n16839 25312\n79318 100000\n31646 47484\n34692 52032\n56168 84238\n67345 100000\n66742 100000\n76409 100000\n35763 53615\n828 1259\n12100 18163\n89990 100000\n88721 100000\n27691 41521\n12038 18071\n66445 99685\n22747 34138\n44821 67217\n3681 5544\n29425 44133\n42596 63890\n33557 50321\n42174 63261\n69125 100000\n85108 100000\n99217 100000\n44345 66509\n21032 31618\n41510 62263\n57738 86595\n15206 22877\n45655 68473\n86647 100000\n10669 16000\n20644 31024\n54080 81055\n74492 100000\n18135 27242\n10222 15345\n82118 100000\n35200 52790\n41193 61781\n33182 49760\n72236 100000\n33696 50526\n84536 100000\n25796 38703\n57448 86167\n91507 100000\n73664 100000\n78932 100000\n35887 53806\n93437 100000\n33536 50287\n90221 100000\n23163 34763\n32866 49294\n739 1127\n11659 17499\n26929 40375\n98899 100000\n2143 3216\n34583 51867\n77607 100000\n2968 4481\n65305 97953\n93837 100000\n47882 71749\n51085 76583\n37126 55665\n89229 100000\n58078 87106\n37467 56179\n43174 64757\n46560 69800\n50873 76269\n47743 71551\n64033 96033\n1271 1926\n61829 92748\n95952 100000\n51347 76968\n61293 91947\n65103 97647\n10981 16473\n37874 56789\n17831 26795\n27243 40842\n93752 100000\n89955 100000\n10569 15851\n14268 21451\n73003 100000\n62834 94270\n98990 100000\n45031 67533\n6923 10403\n33336 49987\n18864 28371\n56694 85031\n89317 100000\n75691 100000\n30440 45665\n42019 63028\n53990 80922\n86829 100000\n73415 100000\n82967 100000\n16109 24218\n70009 100000\n46787 70132\n66711 100000\n28961 43444\n98605 100000\n12821 19236\n37671 56489\n91859 100000\n73062 100000\n33849 50763\n92436 100000\n11150 16732\n15432 23224\n95317 100000\n50342 75466\n74288 100000\n60075 90136\n86794 100000\n54477 81670\n77353 100000\n59491 89246\n33067 49591\n37864 56773\n56494 84732\n64692 97030\n53548 80258\n98575 100000\n47761 71575\n4616 6949\n10456 15692\n2371 3565\n96760 100000\n32843 49261\n13924 20936\n27385 41057\n45352 68023\n46713 70022\n87785 100000\n81179 100000\n78934 100000\n59283 88922\n81011 100000\n86785 100000\n30582 45886\n55430 83120\n83938 100000\n56133 84183\n84314 100000\n42586 63874\n92138 100000\n24595 36898\n21122 31748\n23882 35834\n12240 18375\n24828 37255\n54395 81540\n46505 69714\n20536 30856\n72624 100000\n13688 20575\n80905 100000\n12140 18222\n56414 84615\n17048 25611\n93545 100000\n57132 85680\n42041 63062\n27725 41577\n23484 35235\n93580 100000\n70206 100000\n60782 91182\n64360 96526\n38967 58416\n54756 82091\n93514 100000\n80119 100000\n99018 100000\n18408 27655\n1890 2846\n22222 33368\n83480 100000\n61104 91666\n29792 44672\n65953 98943\n31433 47161\n58146 87209\n89175 100000\n98724 100000\n65215 97814\n50704 76014\n1227 1859\n53250 79817\n37046 55548\n82996 100000\n17315 26030\n72621 100000\n23251 34892\n35031 52541\n30353 45521\n60898 91362\n39269 58873\n76947 100000\n97398 100000\n95122 100000\n93686 100000\n75194 100000\n42360 63537\n92029 100000\n41898 62859\n35559 53315\n33848 50761\n13803 20749\n69353 100000\n11491 17247\n38847 58246\n42441 63658\n60151 90249\n30795 46217\n84026 100000\n49515 74216\n96463 100000\n51092 76595\n50665 75957\n54518 81730\n15045 22636\n84999 100000\n42320 63478\n47304 70907\n34496 51736\n61464 92203\n33881 50814\n79839 100000\n66805 100000\n30958 46465\n6826 10261\n19850 29845\n92785 100000\n21567 32415\n78262 100000\n63731 95568\n15496 23318\n48834 73195\n80729 100000\n63910 95844\n87301 100000\n96844 100000\n90338 100000\n68362 100000\n4316 6496\n24296 36461\n56381 84565\n79025 100000\n25802 38712\n62855 94298\n59874 89834\n95102 100000\n34056 51066\n77151 100000\n83398 100000\n14183 21330\n38713 58052\n42683 64011\n76674 100000\n63353 95017\n57009 85503\n21410 32181\n79619 100000\n83133 100000\n420 644\n84140 100000\n10811 16216\n28669 42998\n29332 44000\n16625 24999\n44917 67365\n57019 85518\n17738 26650\n4542 6836\n22558 33860\n53429 80088\n37257 55867\n7256 10909\n74704 100000\n96307 100000\n12978 19481\n59355 89028\n25573 38358\n81702 100000\n98328 100000\n94841 100000\n37893 56818\n90565 100000\n32262 48404\n92929 100000\n1091 1648\n45325 67984\n79769 100000\n46432 69609\n65995 99007\n79259 100000\n7033 10577\n85229 100000\n96883 100000\n36269 54379\n53322 79933\n21513 32335\n63179 94769\n44342 66503\n94709 100000\n72857 100000\n84824 100000\n37471 56184\n18139 27249\n3410 5147\n86367 100000\n86235 100000\n92595 100000\n16337 24561\n64416 96609\n88459 100000\n62199 93304\n26378 39573\n49357 73976\n4911 7386\n44086 66117\n1070 1618\n31462 47204\n69640 100000\n70748 100000\n38982 58437\n69961 100000\n91159 100000\n85558 100000\n41908 62874\n5250 7894\n87046 100000\n60696 91050\n79307 100000\n14596 21944\n42496 63740\n14677 22076\n33806 50701\n66580 99881\n88479 100000\n46929 70341\n19117 28743\n12689 19046\n40800 61192\n37253 55860\n98675 100000\n55657 83473\n87465 100000\n79852 100000\n1976 2969\n68031 100000\n84027 100000\n31808 47727\n6473 9739\n4507 6780\n38664 57977\n20622 30990\n63815 95694\n37983 56957\n95229 100000\n95768 100000\n69140 100000\n72862 100000\n51611 77347\n2451 3691\n98215 100000\n18297 27491\n33479 50201\n15726 23658\n14784 22243\n91046 100000\n19983 30044\n75139 100000\n67257 100000\n83307 100000\n97707 100000\n85399 100000\n74595 100000\n15038 22622\n73333 100000\n81660 100000\n7849 11792\n31838 47771\n65158 97728\n48122 72110\n33737 50589\n13090 19658\n57886 86808\n11103 16667\n54789 82142\n35739 53580\n19035 28622\n86610 100000\n17223 25886\n67839 100000\n34347 51503\n80910 100000\n27158 40715\n48042 71989\n82954 100000\n72143 100000\n43611 65416\n56031 84031\n92981 100000\n79927 100000\n54917 82338\n25585 38376\n97370 100000\n67198 100000\n32392 48598\n19223 28898\n94566 100000\n77394 100000\n64303 96444\n65415 98127\n38137 57183\n3953 5948\n55180 82750\n24810 37227\n95628 100000\n35663 53469\n5902 8873\n34094 51120\n97287 100000\n90647 100000\n73085 100000\n98369 100000\n69284 100000\n59684 89545\n76163 100000\n14969 22518\n71912 100000\n51309 76912\n42781 64163\n98236 100000\n33705 50539\n34868 52301\n93340 100000\n13111 19689\n19009 28585\n66011 99030\n28394 42582\n13869 20850\n69190 100000\n77761 100000\n82241 100000\n56412 84613\n63277 94911\n80417 100000\n74914 100000\n59342 89007\n56375 84553\n47503 71187\n16063 24152\n49861 74751\n24868 37313\n52677 78949\n65910 98877\n89681 100000\n52379 78499\n41897 62857\n41197 61788\n17790 26733\n82976 100000\n74523 100000\n62939 94419\n50448 75629\n17079 25659\n54683 81978\n98370 100000\n68554 100000\n39414 59093\n50006 74958\n30105 45144\n43220 64823\n50555 75786\n66193 99305\n64395 96580\n507 777\n21932 32944\n47860 71718\n70863 100000\n75576 100000\n42931 64388\n39076 58575\n60336 90520\n96554 100000\n65259 97879\n43897 65834\n65925 98901\n43727 65593\n52523 78716\n90634 100000\n23322 34997\n92399 100000\n70701 100000\n13590 20422\n34045 51048\n31227 46867\n16275 24468\n62545 93835\n47451 71116\n70175 100000\n60389 90601\n70623 100000\n49521 74225\n12102 18166\n84888 100000\n43311 64967\n67130 100000\n12042 18078\n11590 17395\n25602 38401\n33632 50432\n42139 63206\n14930 22460\n68337 100000\n84515 100000\n75927 100000\n95783 100000\n86479 100000\n41241 61856\n41660 62488\n5566 8366\n25479 38227\n29502 44246\n40090 60111\n96526 100000\n16324 24545\n7140 10738\n24367 36570\n68528 100000\n36504 54732\n38721 58063\n22261 33419\n11460 17201\n32361 48553\n64071 96090\n42332 63495\n8646 12973\n73056 100000\n36535 54778\n82211 100000\n82626 100000\n53592 80319\n68352 100000\n90863 100000\n49800 74662\n85671 100000\n18561 27895\n52416 78557\n11093 16652\n21565 32413\n60422 90647\n42853 64272\n97093 100000\n25546 38320\n23955 35948\n2244 3369\n76295 100000\n2963 4473\n63113 94681\n32851 49271\n26865 40283\n99404 100000\n66458 99706\n71661 100000\n42170 63254\n42304 63452\n83782 100000\n40737 61090\n84997 100000\n82670 100000\n13652 20518\n54816 82185\n44680 67005\n86420 100000\n13277 19934\n86934 100000\n36992 55467\n51100 76606\n46657 69940\n91989 100000\n55538 83290\n99438 100000\n52541 78741\n42339 63505\n30662 46009\n74352 100000\n90817 100000\n27391 41067\n64488 96715\n16106 24214\n74194 100000\n36377 54547\n69811 100000\n88756 100000\n59595 89405\n19928 29963\n64694 97032\n22180 33310\n34036 51035\n55297 82927\n13567 20383\n63034 94561\n20692 31096\n66968 100000\n30779 46192\n30649 45991\n66235 99371\n73454 100000\n26454 39687\n69416 100000\n48073 72038\n42878 64307\n5299 7968\n25027 37554\n94083 100000\n68013 100000\n70249 100000\n96343 100000\n97568 100000\n93337 100000\n4485 6748\n41841 62771\n3108 4688\n33997 50978\n81433 100000\n92222 100000\n13364 20070\n89702 100000\n70038 100000\n23421 35148\n66906 100000\n23234 34867\n79940 100000\n4707 7084\n20787 31245\n51576 77292\n94075 100000\n30873 46332\n40634 60934\n42274 63410\n42055 63081\n85701 100000\n3720 5604\n69830 100000\n18260 27434\n50540 75766\n61446 92173\n19451 29243\n76288 100000\n81401 100000\n15255 22953\n78520 100000\n54785 82136\n70985 100000\n86550 100000\n92139 100000\n30598 45908\n41976 62969\n27161 40719\n38402 57585\n3233 4880\n55250 82852\n91556 100000\n14777 22232\n12158 18250\n92326 100000\n4375 6587\n16210 24372\n41662 62491\n36328 54471\n20904 31425\n82216 100000\n543 834\n17959 26981\n79206 100000\n60722 91086\n24560 36848\n24344 36534\n48764 73089\n68581 100000\n17365 26103\n47216 70775\n5988 8999\n63986 95951\n38816 58200\n84190 100000\n36015 53995\n40899 61338\n61383 92086\n51306 76908\n42124 63183\n61797 92697\n78662 100000\n82972 100000\n65967 98964\n88638 100000\n95156 100000\n53391 80030\n63774 95632\n47947 71852\n2812 4242\n60432 90664\n77728 100000\n96794 100000\n98146 100000\n53805 80637\n52722 79015\n43234 64844\n52724 79018\n33847 50760\n41333 61996\n40844 61257\n28358 42528\n71783 100000\n49466 74139\n64811 97207\n55744 83605\n50645 75926\n12597 18901\n26721 40074\n67427 100000\n50771 76114\n28094 42132\n59707 89582\n84965 100000\n3095 4667\n547 838\n37501 56226\n66801 100000\n6429 9685\n7623 11455\n98194 100000\n48600 72841\n10253 15392\n40734 61085\n30562 45853\n25057 37601\n55273 82888\n26964 40424\n76248 100000\n75469 100000\n11494 17251\n45414 68113\n62461 93709\n67206 100000\n54691 81990\n65659 98494\n6732 10126\n70449 100000\n59787 89706\n65800 98709\n47316 70925\n55876 83796\n12586 18885\n61717 92573\n90541 100000\n15063 22667\n95729 100000\n80038 100000\n89368 100000\n46737 70058\n14669 22064\n55428 83116\n19917 29943\n49792 74649\n33941 50896\n55059 82562\n5851 8798\n17201 25854\n46483 69681\n13565 20379\n63710 95540\n76712 100000\n56286 84417\n71184 100000\n4999 7519\n1408 2129\n54586 81826\n45821 68713\n99172 100000\n96524 100000\n15295 23017\n30482 45728\n13515 20307\n95545 100000\n46018 69003\n21304 32022\n65567 98352\n62968 94462\n75686 100000\n51447 77112\n42105 63154\n43287 64931\n72325 100000\n77235 100000\n25681 38516\n96667 100000\n10062 15102\n88985 100000\n59408 89105\n31829 47758\n7266 10925\n57729 86581\n63376 95052\n52036 77992\n94624 100000\n72043 100000\n53395 80037\n53755 80563\n29887 44818\n67902 100000\n21379 32133\n76882 100000\n63174 94762\n31249 46895\n32418 48638\n56533 84792\n28200 42287\n10123 15195\n89328 100000\n73701 100000\n19024 28606\n430 659\n13389 20110\n27315 40948\n97184 100000\n76635 100000\n75734 100000\n10159 15247\n31396 47107\n32048 48085\n12125 18199\n457 701\n57339 86002\n79935 100000\n38961 58408\n66621 99943\n9943 14928\n42876 64304\n55509 83247\n18104 27197\n70103 100000\n7333 11025\n70037 100000\n15122 22758\n29254 43875\n46990 70432\n74225 100000\n355 548\n31526 47300\n50963 76400\n53474 80150\n23287 34948\n68367 100000\n96240 100000\n14939 22473\n87720 100000\n90228 100000\n74655 100000\n38660 57971\n46953 70376\n53409 80055\n75555 100000\n45302 67950\n66786 100000\n91647 100000\n31147 46742\n47433 71090\n22173 33300\n55707 83549\n5602 8423\n19214 28885\n34884 52326\n17515 26318\n32443 48675\n15623 23509\n78837 100000\n20653 31036\n8808 13216\n93748 100000\n13532 20333\n59763 89671\n53383 80019\n65890 98850\n66255 99399\n47310 70915\n70990 100000\n80878 100000\n71207 100000\n97125 100000\n19218 28890\n62826 94257\n82221 100000\n78386 100000\n93523 100000\n74408 100000\n88785 100000\n13020 19551\n13618 20466\n25405 38118\n18820 28302\n66787 100000\n95357 100000\n96530 100000\n84593 100000\n89242 100000\n4866 7318\n76702 100000\n26818 40217\n17641 26503\n17131 25741\n80704 100000\n26557 39840\n19957 30005\n88784 100000\n86196 100000\n48417 72555\n87451 100000\n17918 26921\n43301 64952\n11207 16818\n53521 80221\n88017 100000\n11179 16775\n8417 12634\n19344 29081\n39071 58569\n18074 27156\n62793 94204\n68390 100000\n79226 100000\n76688 100000\n37243 55844\n43609 65413\n28819 43229\n11261 16898\n52186 78213\n89020 100000\n51342 76962\n48948 73368\n11945 17927\n73894 100000\n57621 86422\n64947 97415\n89689 100000\n72272 100000\n88028 100000\n53608 80349\n28503 42751\n70400 100000\n14207 21364\n15119 22753\n83477 100000\n92405 100000\n72640 100000\n97127 100000\n9760 14645\n22077 33155\n11924 17900\n43911 65860\n17491 26284\n67092 100000\n34991 52481\n77026 100000\n75605 100000\n66737 100000\n88306 100000\n22347 33544\n28361 42533\n20953 31498\n97655 100000\n16793 25241\n98000 100000\n31843 47778\n29034 43550\n21832 32800\n14544 21867\n17772 26703\n22868 34317\n32457 48692\n54672 81961\n17401 26156\n44418 66616\n90553 100000\n79707 100000\n83491 100000\n84457 100000\n44548 66809\n1791 2699\n50476 75671\n65273 97900\n61153 91737\n42180 63271\n15580 23440\n32826 49237\n48623 72879\n75980 100000\n99524 100000\n88429 100000\n18426 27684\n63936 95879\n78893 100000\n51746 77549\n65898 98863\n60850 91285\n2952 4458\n92447 100000\n1044 1577\n53631 80385\n52862 79230\n36843 55249\n59381 89066\n8971 13457\n76955 100000\n35256 52871\n26353 39539\n85750 100000\n19039 28627\n72647 100000\n49527 74235\n67833 100000\n28647 42966\n62054 93088\n54803 82164\n16273 24466\n44259 66379\n55923 83866\n69744 100000\n31063 46622\n29340 44014\n16287 24485\n47007 70460\n38142 57193\n93420 100000\n18811 28289\n54720 82035\n1098 1656\n52337 78433\n79684 100000\n20091 30202\n59429 89141\n18428 27687\n30259 45379\n28 44\n81052 100000\n41746 62620\n62433 93667\n51078 76573\n3765 5673\n42426 63638\n22444 33687\n63434 95137\n80318 100000\n22071 33145\n99748 100000\n19995 30063\n94888 100000\n32391 48597\n31404 47118\n52198 78229\n82033 100000\n48642 72906\n37329 55970\n70086 100000\n55773 83652\n10400 15606\n35462 53178\n11941 17922\n98731 100000\n25653 38479\n15088 22706\n31649 47490\n98100 100000\n93512 100000\n36069 54074\n69101 100000\n73200 100000\n71505 100000\n93123 100000\n92433 100000\n44768 67141\n77090 100000\n20982 31541\n48748 73069\n29382 44076\n52593 78822\n46068 69083\n83336 100000\n54262 81325\n53646 80403\n18125 27229\n10089 15143\n8665 13001\n90574 100000\n38662 57974\n59571 89365\n70542 100000\n80561 100000\n25766 38650\n50162 75190\n88867 100000\n42504 63753\n39290 58907\n13286 19949\n93985 100000\n3142 4737\n15184 22845\n603 926\n75571 100000\n74447 100000\n10969 16455\n66165 99267\n5806 8726\n72235 100000\n57 88\n49936 74855\n60311 90479\n14735 22171\n36973 55439\n27896 41839\n91653 100000\n13789 20726\n32240 48370\n98956 100000\n2860 4316\n78897 100000\n70444 100000\n13075 19634\n81644 100000\n7564 11369\n2355 3541\n1958 2945\n68433 100000\n66746 100000\n55451 83152\n55934 83884\n59877 89840\n1373 2078\n94328 100000\n47072 70559\n7486 11250\n28473 42706\n98289 100000\n55708 83550\n84716 100000\n80095 100000\n67751 100000\n71789 100000\n19413 29187\n33468 50184\n9446 14166\n80169 100000\n64334 96487\n24134 36222\n55497 83228\n20942 31483\n50395 75551\n27597 41380\n96603 100000\n96533 100000\n35176 52758\n24334 36520\n84602 100000\n46594 69847\n85473 100000\n33109 49651\n39808 59688\n75205 100000\n54747 82077\n82978 100000\n19104 28721\n72875 100000\n84759 100000\n13955 20983\n43357 65036\n37405 56083\n25013 37533\n45178 67760\n13888 20878\n79392 100000\n37879 56798\n46876 70260\n54098 81080\n1625 2450\n72050 100000\n62663 94008\n54910 82325\n6673 10036\n26525 39793\n44924 67374\n49450 74115\n69635 100000\n65195 97781\n72636 100000\n49084 73568\n63012 94528\n89724 100000\n49678 74467\n12884 19336\n66932 100000\n69191 100000\n57065 85581\n52883 79258\n83553 100000\n69011 100000\n14137 21260\n56996 85482\n90827 100000\n7453 11200\n23787 35689\n40680 61000\n17582 26418\n95980 100000\n95315 100000\n80053 100000\n49166 73693\n69302 100000\n34004 50988\n1446 2189\n100 155\n33423 50119\n35427 53125\n76343 100000\n80102 100000\n78675 100000\n7125 10715\n68106 100000\n22932 34412\n15133 22776\n33104 49646\n47577 71299\n56447 84663\n40393 60570\n31191 46814\n95319 100000\n30511 45773\n33451 50159\n92465 100000\n28081 42113\n81162 100000\n6035 9074\n67713 100000\n21950 32972\n69815 100000\n19769 29725\n60642 90968\n73777 100000\n98722 100000\n68173 100000\n92736 100000\n85563 100000\n63400 95084\n20858 31351\n16903 25403\n55216 82803\n37956 56914\n49189 73727\n50951 76384\n45004 67491\n67384 100000\n33376 50045\n98554 100000\n98711 100000\n73671 100000\n2828 4268\n54972 82420\n60060 90112\n62515 93792\n44892 67327\n15070 22678\n5873 8831\n27890 41832\n64000 95977\n69361 100000\n83190 100000\n78835 100000\n76979 100000\n82081 100000\n88622 100000\n52896 79277\n70355 100000\n88222 100000\n71551 100000\n57226 85823\n64162 96230\n89951 100000\n56807 85195\n4743 7140\n41865 62808\n23764 35655\n83845 100000\n7294 10964\n76229 100000\n59093 88630\n49090 73577\n82840 100000\n4614 6946\n41917 62884\n54418 81578\n34629 51935\n32422 48644\n55042 82539\n80896 100000\n68665 100000\n78876 100000\n11966 17960\n61789 92685\n85714 100000\n68778 100000\n69608 100000\n86763 100000\n88818 100000\n89463 100000\n25511 38272\n67188 100000\n40171 60239\n86170 100000\n90251 100000\n15276 22989\n9855 14788\n43992 65984\n61063 91605\n91611 100000\n56116 84157\n85204 100000\n89764 100000\n13987 21027\n40148 60200\n27418 41111\n66977 100000\n96792 100000\n33791 50676\n48209 72238\n71594 100000\n63480 95203\n53087 79566\n80735 100000\n98523 100000\n53750 80558\n68975 100000\n26663 39998\n95932 100000\n69037 100000\n76039 100000\n64120 96164\n41932 62907\n76219 100000\n9671 14510\n78117 100000\n43050 64562\n27797 41689\n12543 18819\n93210 100000\n92687 100000\n66472 99728\n75617 100000\n64794 97179\n617 946\n46485 69683\n76531 100000\n88561 100000\n27592 41373\n26292 39447\n51762 77572\n87249 100000\n52651 78910\n30639 45978\n25454 38193\n93640 100000\n26891 40318\n1743 2624\n57061 85576\n41482 62221\n29925 44875\n86122 100000\n1520 2302\n18548 27873\n31208 46843\n3230 4875\n21868 32854\n46605 69864\n26906 40341\n41928 62900\n25793 38698\n7532 11321\n37563 56320\n75990 100000\n30029 45031\n23851 35789\n32715 49077\n38537 57794\n35113 52660\n87457 100000\n13386 20105\n10033 15056\n59148 88716\n81838 100000\n53724 80519\n99711 100000\n35048 52564\n54362 81484\n30257 45375\n47463 71131\n95675 100000\n66676 100000\n84854 100000\n11412 17126\n98384 100000\n96751 100000\n51687 77460\n27706 41544\n13045 19587\n40002 59977\n88615 100000\n4349 6548\n3484 5254\n15330 23070\n66173 99277\n47148 70673\n56124 84170\n52498 78679\n90973 100000\n69096 100000\n9504 14259\n3522 5306\n48380 72500\n37394 56065\n72366 100000\n94254 100000\n16232 24406\n68866 100000\n67643 100000\n44197 66285\n25534 38302\n73023 100000\n58790 88180\n15796 23755\n97110 100000\n52423 78567\n92460 100000\n44042 66057\n34025 51019\n19996 30065\n60230 90357\n57557 86326\n44265 66389\n9313 13976\n66157 99256\n74047 100000\n76486 100000\n39118 58634\n12636 18960\n92213 100000\n72946 100000\n36988 55461\n12127 18203\n72795 100000\n58379 87572\n19377 29134\n86538 100000\n10889 16336\n74485 100000\n92599 100000\n48115 72101\n81414 100000\n21713 32617\n94665 100000\n63637 95434\n28474 42707\n11478 17230\n19268 28965\n98528 100000\n7188 10811\n29227 43830\n30916 46398\n39711 59547\n8313 12478\n86462 100000\n43490 65240\n38158 57220\n36772 55149\n97420 100000\n59613 89432\n67840 100000\n30392 45585\n60085 90153\n34602 51896\n63899 95826\n43104 64649\n66188 99299\n6747 10147\n69082 100000\n32282 48431\n82480 100000\n42765 64139\n22945 34430\n95417 100000\n16443 24723\n25281 37936\n49325 73925\n14065 21151\n40933 61389\n35179 52762\n1732 2608\n63694 95515\n43613 65419\n245 378\n75298 100000\n72629 100000\n51663 77421\n54350 81464\n6127 9219\n8949 13424\n92976 100000\n87885 100000\n97424 100000\n9925 14901\n13361 20066\n21003 31575\n5673 8525\n69013 100000\n97783 100000\n43459 65197\n92067 100000\n76998 100000\n70132 100000\n39305 58929\n1587 2396\n65153 97722\n5174 7779\n406 624\n55694 83528\n10774 16157\n73254 100000\n81910 100000\n39465 59168\n99764 100000\n3002 4533\n86189 100000\n11035 16558\n44643 66953\n60428 90657\n33817 50715\n4923 7405\n26391 39591\n66750 100000\n35675 53487\n83373 100000\n53583 80307\n57086 85613\n98299 100000\n85150 100000\n87592 100000\n98659 100000\n86375 100000\n58800 88194\n11561 17353\n38196 57279\n69286 100000\n52104 78091\n60916 91388\n78057 100000\n69799 100000\n67883 100000\n5447 8189\n71406 100000\n25148 37742\n92356 100000\n90094 100000\n70474 100000\n80175 100000\n52153 78161\n92610 100000\n85368 100000\n43289 64934\n26500 39753\n9059 13581\n23392 35103\n23374 35077\n30502 45757\n25264 37913\n20107 30226\n14404 21655\n16855 25338\n69704 100000\n45808 68694\n82416 100000\n70555 100000\n66393 99607\n85713 100000\n91721 100000\n94818 100000\n55346 82996\n10216 15335\n33755 50618\n89645 100000\n38772 58139\n17707 26604\n76026 100000\n46964 70396\n76829 100000\n10783 16171\n62503 93770\n64854 97265\n27815 41716\n17948 26965\n91373 100000\n2542 3831\n87850 100000\n51833 77683\n89114 100000\n33172 49745\n47426 71078\n36500 54727\n14070 21158\n29259 43882\n74187 100000\n1982 2978\n59039 88552\n49775 74621\n14233 21401\n57346 86013\n58190 87276\n68496 100000\n13114 19693\n1931 2905\n12807 19218\n81205 100000\n47497 71179\n15863 23850\n59460 89192\n47199 70751\n17989 27024\n87174 100000\n9717 14580\n44022 66027\n47631 71384\n48176 72193\n67428 100000\n62608 93926\n9802 14709\n85614 100000\n70859 100000\n17020 25571\n47366 71000\n60245 90378\n12370 18566\n56227 84329\n82700 100000\n17923 26929\n93029 100000\n31557 47350\n92091 100000\n41381 62070\n75197 100000\n88940 100000\n24954 37443\n99392 100000\n26602 39909\n72741 100000\n52231 78278\n99437 100000\n24762 37153\n51939 77842\n57336 85997\n729 1111\n89923 100000\n34681 52014\n19191 28853\n57428 86136\n4755 7158\n58050 87062\n60462 90710\n80646 100000\n78472 100000\n44241 66350\n7109 10689\n15940 23965\n9546 14324\n2161 3246\n77943 100000\n42150 63224\n97684 100000\n35073 52604\n27957 41932\n86989 100000\n61161 91751\n67511 100000\n87757 100000\n91938 100000\n58318 87477\n90569 100000\n26274 39419\n32670 49006\n97931 100000\n72507 100000\n41907 62872\n88900 100000\n52256 78313\n76647 100000\n21594 32451\n71155 100000\n74940 100000\n76004 100000\n48827 73184\n50828 76200\n98157 100000\n68795 100000\n74204 100000\n18921 28454\n84124 100000\n19771 29727\n48737 73050\n83288 100000\n15488 23307\n46924 70332\n86145 100000\n83561 100000\n62833 94268\n40614 60905\n58467 87705\n92235 100000\n28648 42967\n36553 54805\n81315 100000\n33329 49978\n31491 47246\n48227 72267\n16803 25258\n74910 100000\n60363 90562\n3169 4782\n31511 47278\n67193 100000\n21052 31646\n26435 39660\n8576 12867\n53973 80897\n55247 82846\n13301 19971\n12588 18887\n80271 100000\n74804 100000\n69990 100000\n46734 70053\n14257 21435\n84141 100000\n73926 100000\n10641 15961\n87103 100000\n69373 100000\n27451 41165\n22102 33193\n36647 54952\n72119 100000\n19064 28664\n82469 100000\n93919 100000\n16401 24659\n10029 15051\n36171 54224\n80963 100000\n59503 89264\n83741 100000\n66661 100000\n81756 100000\n53916 80812\n43377 65068\n79959 100000\n40661 60974\n69685 100000\n43547 65324\n95267 100000\n44158 66229\n32966 49443\n53556 80271\n36324 54465\n5390 8103\n3081 4649\n26622 39940\n38795 58174\n25185 37796\n38639 57938\n47348 70974\n78967 100000\n13605 20445\n60237 90365\n34767 52145\n72873 100000\n66544 99832\n40981 61459\n78707 100000\n85869 100000\n15737 23674\n17233 25901\n88774 100000\n2682 4039\n43969 65949\n49532 74243\n51095 76599\n40434 60630\n79551 100000\n6495 9775\n29650 44458\n8352 12540\n1059 1599\n55613 83408\n81569 100000\n45269 67897\n55289 82914\n75668 100000\n88826 100000\n8069 12113\n73156 100000\n94239 100000\n34150 51207\n59471 89211\n66887 100000\n12890 19345\n39535 59278\n1510 2286\n19479 29291\n73649 100000\n60978 91478\n35000 52496\n58350 87527\n98098 100000\n89546 100000\n56398 84591\n92694 100000\n95621 100000\n66902 100000\n25597 38394\n77979 100000\n48453 72610\n5275 7929\n43680 65518\n98641 100000\n28134 42188\n34375 51550\n65387 98084\n22224 33371\n99148 100000\n48894 73287\n21541 32374\n38077 57098\n30301 45441\n15289 23007\n69957 100000\n96644 100000\n74866 100000\n99267 100000\n91399 100000\n86867 100000\n75045 100000\n71277 100000\n58862 88283\n56994 85479\n468 717\n42266 63398\n51858 77719\n14171 21307\n9871 14816\n68252 100000\n94064 100000\n64356 96522\n23779 35677\n82476 100000\n33729 50577\n83652 100000\n73250 100000\n36904 55338\n27296 40923\n47605 71342\n25516 38279\n794 1207\n40947 61409\n58424 87639\n29955 44920\n79328 100000\n79093 100000\n69318 100000\n41340 62008\n24640 36965\n99378 100000\n15228 22909\n60881 91333\n80463 100000\n61746 92619\n27193 40764\n95589 100000\n58187 87271\n9489 14232\n8156 12247\n92893 100000\n754 1150\n1121 1692\n22989 34493\n97675 100000\n35018 52524\n39102 58611\n74059 100000\n18240 27406\n766 1167\n36334 54479\n85267 100000\n24417 36644\n90940 100000\n75157 100000\n56893 85320\n74263 100000\n6098 9172\n34508 51753\n30410 45615\n52648 78904\n11866 17810\n77691 100000\n43318 64977\n91559 100000\n64354 96518\n86952 100000\n38068 57083\n86796 100000\n32482 48732\n36184 54247\n93256 100000\n21141 31775\n99847 100000\n68702 100000\n72176 100000\n3057 4613\n55783 83668\n20005 30079\n55145 82698\n84775 100000\n8382 12585\n76535 100000\n37434 56127\n54753 82086\n60841 91272\n34288 51411\n94870 100000\n78360 100000\n31831 47761\n2400 3606\n84219 100000\n92573 100000\n59496 89254\n15617 23497\n36024 54012\n47784 71611\n22005 33051\n42555 63826\n91870 100000\n99707 100000\n93542 100000\n59814 89746\n67953 100000\n58421 87633\n86879 100000\n65169 97745\n52946 79354\n83923 100000\n776 1183\n92379 100000\n61798 92699\n67991 100000\n26153 39238\n81208 100000\n66751 100000\n95694 100000\n94493 100000\n4660 7015\n78413 100000\n93399 100000\n66653 99989\n97482 100000\n29607 44395\n14893 22403\n94619 100000\n57231 85830\n79602 100000\n6970 10479\n41263 61893\n2548 3839\n97778 100000\n91796 100000\n26020 39037\n24086 36145\n51635 77379\n78091 100000\n81424 100000\n42169 63252\n6965 10470\n74502 100000\n27719 41567\n73560 100000\n57039 85544\n87862 100000\n45940 68885\n34595 51887\n31844 47779\n80468 100000\n43698 65546\n88857 100000\n68853 100000\n49925 74840\n98199 100000\n2251 3381\n25242 37880\n31115 46696\n70346 100000\n99542 100000\n81020 100000\n26684 40025\n8376 12576\n3404 5140\n83313 100000\n61094 91651\n68499 100000\n44493 66729\n20643 31023\n48821 73175\n98311 100000\n57888 86811\n14338 21560\n95388 100000\n93213 100000\n37702 56532\n32073 48124\n34993 52484\n58082 87112\n93544 100000\n29844 44752\n16813 25274\n2007 3017\n77406 100000\n20951 31494\n10143 15224\n85302 100000\n2954 4460\n47878 71743\n79578 100000\n64585 96865\n66434 99667\n18898 28421\n56505 84749\n18509 27810\n6210 9350\n49014 73464\n94227 100000\n32241 48372\n24208 36326\n29386 44081\n23446 35184\n74619 100000\n66231 99365\n59486 89237\n56990 85471\n29294 43936\n17195 25844\n39832 59723\n11106 16672\n85375 100000\n42521 63776\n95856 100000\n24458 36704\n6316 9515\n99945 100000\n74544 100000\n24972 37471\n2155 3235\n58709 88056\n94348 100000\n98406 100000\n78394 100000\n73078 100000\n61603 92407\n74100 100000\n20300 30517\n7212 10846\n99109 100000\n14057 21138\n76269 100000\n59728 89615\n91956 100000\n67435 100000\n83821 100000\n30023 45021\n20785 31243\n22713 34090\n97182 100000\n74336 100000\n5481 8238\n8721 13085\n39527 59265\n48090 72063\n38505 57748\n66248 99390\n7110 10691\n63411 95099\n65316 97971\n64927 97381\n95604 100000\n89838 100000\n45974 68932\n88273 100000\n6549 9851\n46971 70406\n65512 98267\n595 913\n68714 100000\n14643 22024\n36632 54930\n43886 65817\n95062 100000\n63547 95298\n1747 2631\n61664 92500\n25773 38663\n6696 10074\n39044 58531\n56303 84447\n79844 100000\n51855 77714\n55966 83933\n30350 45515\n23833 35758\n60534 90810\n9603 14410\n59744 89641\n82333 100000\n97412 100000\n76926 100000\n30314 45458\n1126 1701\n19331 29061\n55070 82580\n15264 22969\n70448 100000\n70883 100000\n3007 4541\n55837 83739\n97711 100000\n35124 52678\n53607 80347\n52392 78519\n67570 100000\n39310 58938\n43746 65618\n89110 100000\n47778 71600\n64447 96656\n62925 94397\n60900 91364\n55175 82742\n28167 42241\n96404 100000\n58597 87885\n50625 75894\n58107 87150\n62065 93103\n65692 98542\n15749 23689\n29437 44150\n88333 100000\n57982 86957\n17273 25963\n30320 45469\n35177 52759\n77570 100000\n21326 32055\n10701 16045\n96511 100000\n43960 65935\n77461 100000\n78788 100000\n71581 100000\n19595 29462\n46198 69267\n7688 11553\n71693 100000\n46320 69448\n27139 40685\n41245 61863\n56556 84827\n64916 97363\n47781 71605\n4320 6503\n62849 94290\n42870 64297\n71861 100000\n57502 86246\n85560 100000\n65029 97533\n232 357\n46292 69404\n11521 17292\n58848 88262\n63707 95535\n96660 100000\n5931 8913\n96428 100000\n13343 20040\n25512 38273\n63734 95572\n89574 100000\n82830 100000\n9913 14884\n49864 74756\n36165 54215\n74084 100000\n82793 100000\n62917 94385\n36124 54155\n31856 47796\n52386 78508\n69851 100000\n35634 53427\n84106 100000\n86609 100000\n7526 11313\n27782 41665\n38507 57751\n85638 100000\n37223 55812\n59049 88567\n9134 13692\n9820 14735\n1353 2051\n22415 33644\n8259 12402\n55758 83629\n20682 31083\n44283 66415\n26597 39902\n83265 100000\n19250 28938\n27255 40860\n6075 9138\n65230 97839\n70183 100000\n76374 100000\n29028 43542\n79281 100000\n21655 32532\n50558 75790\n88708 100000\n65934 98914\n39900 59822\n14859 22352\n45620 68423\n4989 7506\n73294 100000\n66989 100000\n50977 76422\n59145 88712\n56380 84563\n98852 100000\n55580 83355\n70260 100000\n20611 30973\n80584 100000\n25995 38997\n74620 100000\n14528 21842\n17029 25583\n86241 100000\n48253 72305\n69319 100000\n29060 43587\n32538 48813\n42175 63263\n99814 100000\n68423 100000\n30501 45756\n71677 100000\n28049 42065\n25689 38527\n74439 100000\n62313 93483\n46701 70003\n10269 15417\n61308 91972\n60584 90884\n66225 99358\n32258 48398\n90108 100000\n50329 75449\n33965 50932\n31529 47305\n38506 57750\n16250 24433\n87520 100000\n11921 17895\n11187 16785\n12992 19505\n3814 5743\n79865 100000\n48357 72465\n677 1034\n49749 74580\n37736 56583\n9537 14310\n49503 74196\n66015 99036\n14717 22142\n41517 62274\n227 348\n37011 55495\n90382 100000\n37998 56978\n56082 84107\n17708 26606\n8062 12102\n23173 34779\n79242 100000\n40354 60508\n67559 100000\n11125 16698\n60219 90341\n24543 36824\n40115 60149\n75176 100000\n54738 82066\n33058 49579\n37261 55874\n39411 59087\n92817 100000\n47083 70577\n86083 100000\n19144 28788\n81400 100000\n59287 88928\n69565 100000\n47313 70920\n90344 100000\n10538 15808\n26233 39359\n57195 85776\n14603 21955\n53966 80887\n93478 100000\n82357 100000\n88482 100000\n66053 99098\n70979 100000\n55761 83633\n58243 87357\n27971 41953\n46542 69770\n18893 28413\n38513 57758\n42077 63111\n95940 100000\n65097 97640\n87280 100000\n73231 100000\n40249 60353\n26590 39889\n91274 100000\n51196 76750\n86919 100000\n60161 90262\n81835 100000\n89982 100000\n99149 100000\n19414 29188\n70251 100000\n86803 100000\n98586 100000\n72463 100000\n60506 90768\n59642 89479\n26371 39564\n48655 72924\n76246 100000\n59655 89501\n10260 15404\n51539 77241\n93266 100000\n62598 93912\n39006 58474\n49156 73678\n35258 52873\n46843 70212\n73344 100000\n25368 38061\n87758 100000\n23711 35575\n88889 100000\n62941 94422\n12349 18534\n13956 20984\n56655 84971\n93477 100000\n51940 77844\n45260 67886\n83832 100000\n25976 38971\n43122 64678\n54623 81882\n42763 64137\n86752 100000\n39513 59245\n99214 100000\n81366 100000\n3587 5401\n81593 100000\n5561 8359\n52390 78516\n40145 60196\n40924 61374\n75954 100000\n68720 100000\n50603 75858\n99338 100000\n78435 100000\n75324 100000\n33727 50575\n15511 23338\n7169 10780\n42256 63386\n78700 100000\n61418 92133\n15892 23898\n48425 72569\n62194 93296\n4718 7101\n13899 20893\n50948 76379\n93187 100000\n71875 100000\n8416 12633\n94797 100000\n8839 13265\n19528 29360\n91419 100000\n81920 100000\n39886 59802\n494 757\n78143 100000\n98410 100000\n87646 100000\n69372 100000\n27457 41174\n30647 45988\n40656 60968\n54146 81156\n74923 100000\n14718 22143\n71830 100000\n15812 23780\n69729 100000\n60440 90678\n23925 35899\n74397 100000\n79083 100000\n64604 96893\n19019 28598\n24790 37196\n72623 100000\n37814 56702\n67019 100000\n60747 91127\n84253 100000\n68716 100000\n36287 54409\n2794 4216\n58339 87511\n99670 100000\n774 1179\n77000 100000\n27407 41093\n38140 57189\n17423 26185\n81048 100000\n49025 73480\n64435 96638\n50020 74977\n67381 100000\n72033 100000\n3836 5773\n35306 52941\n42193 63294\n37992 56969\n133 205\n88976 100000\n66974 100000\n67567 100000\n82733 100000\n1525 2309\n20074 30176\n24588 36888\n54217 81261\n91261 100000\n6813 10239\n83944 100000\n76178 100000\n30997 46529\n23891 35848\n52475 78642\n6347 9564\n79342 100000\n50895 76303\n13436 20186\n70007 100000\n18732 28165\n50401 75561\n33248 49859\n80962 100000\n63590 95365\n26091 39147\n32593 48886\n5453 8197\n96325 100000\n87853 100000\n11808 17726\n71629 100000\n72009 100000\n53492 80176\n22281 33448\n45010 67500\n8968 13451\n38759 58122\n73786 100000\n27128 40668\n4359 6564\n44815 67207\n46855 70229\n51048 76529\n47434 71092\n83204 100000\n31198 46827\n82143 100000\n14699 22113\n22934 34415\n61648 92474\n28032 42042\n47795 71626\n88751 100000\n62383 93593\n18944 28489\n23681 35530\n71375 100000\n66534 99817\n62333 93516\n85081 100000\n74443 100000\n6117 9203\n10691 16029\n79966 100000\n4914 7392\n59547 89328\n5633 8468\n35217 52813\n19003 28574\n45642 68454\n36899 55329\n94306 100000\n54953 82389\n31727 47609\n80135 100000\n62706 94071\n8687 13035\n15344 23088\n35131 52689\n3406 5142\n3658 5509\n3591 5408\n87096 100000\n79156 100000\n17063 25635\n61882 92835\n91689 100000\n71969 100000\n81897 100000\n93278 100000\n38288 57419\n52894 79275\n18170 27300\n65193 97778\n46695 69993\n20152 30296\n31141 46734\n80719 100000\n52313 78401\n39466 59170\n89090 100000\n64400 96588\n89070 100000\n15666 23569\n57516 86267\n82829 100000\n75422 100000\n41749 62625\n97079 100000\n77157 100000\n56037 84041\n6355 9576\n27656 41470\n90926 100000\n16890 25384\n69684 100000\n15656 23554\n7198 10824\n86034 100000\n6277 9452\n96538 100000\n717 1092\n85765 100000\n23998 36016\n90833 100000\n9577 14370\n727 1108\n60314 90483\n97494 100000\n79284 100000\n45316 67970\n93720 100000\n24862 37303\n81554 100000\n54105 81092\n89581 100000\n55389 83062\n33506 50242\n85675 100000\n66929 100000\n57147 85703\n78001 100000\n26064 39106\n89453 100000\n27721 41570\n34055 51064\n40645 60952\n26015 39030\n43878 65805\n82025 100000\n81751 100000\n3382 5105\n60162 90264\n96012 100000\n78387 100000\n24885 37338\n27937 41902\n77631 100000\n560 856\n16948 25471\n84397 100000\n40280 60399\n266 409\n83877 100000\n75001 100000\n80338 100000\n38013 57001\n7985 11993\n96907 100000\n35928 53865\n31262 46912\n53418 80071\n48692 72981\n64450 96661\n46634 69906\n80664 100000\n38702 58037\n12075 18128\n97356 100000\n68209 100000\n95233 100000\n16383 24631\n50012 74965\n9114 13661\n32535 48808\n45099 67639\n59718 89599\n7002 10527\n49550 74273\n76690 100000\n41115 61660\n93159 100000\n63003 94514\n56289 84422\n22919 34393\n84802 100000\n23509 35276\n89710 100000\n29158 43728\n64661 96981\n70514 100000\n60149 90246\n9166 13741\n53227 79781\n78214 100000\n60246 90380\n17700 26594\n29877 44804\n80846 100000\n10622 15930\n60650 90981\n39914 59842\n45038 67546\n29313 43968\n88506 100000\n75946 100000\n12673 19022\n86620 100000\n75934 100000\n1959 2947\n10621 15928\n96243 100000\n8165 12259\n58337 87507\n40872 61298\n30736 46122\n5255 7900\n91924 100000\n93094 100000\n52734 79032\n57989 86967\n11147 16727\n91280 100000\n82726 100000\n97858 100000\n40381 60552\n50243 75316\n72487 100000\n85355 100000\n57270 85896\n45366 68044\n51162 76699\n29482 44216\n34591 51881\n17350 26080\n50479 75675\n97786 100000\n61084 91637\n9576 14368\n72503 100000\n6751 10152\n52989 79415\n28780 43171\n32112 48185\n63075 94625\n12304 18462\n31525 47299\n37703 56533\n86717 100000\n16768 25206\n81351 100000\n29663 44478\n32655 48980\n8131 12208\n13709 20607\n59466 89203\n52728 79023\n68393 100000\n24467 36718\n57014 85509\n94337 100000\n23309 34982\n86368 100000\n80201 100000\n85096 100000\n54427 81593\n97553 100000\n46986 70425\n41143 61703\n30901 46374\n91670 100000\n75121 100000\n12764 19153\n57013 85507\n32511 48775\n68444 100000\n58280 87416\n74211 100000\n1734 2611\n61474 92218\n91129 100000\n57616 86412\n62847 94288\n78436 100000\n2445 3680\n7636 11475\n13039 19578\n83323 100000\n65924 98899\n43832 65739\n63281 94915\n1003 1521\n81359 100000\n74769 100000\n16093 24195\n76214 100000\n26343 39525\n7618 11447\n50856 76241\n60631 90952\n25814 38731\n72182 100000\n23564 35358\n99337 100000\n98719 100000\n61659 92491\n40622 60916\n52010 77951\n92043 100000\n78081 100000\n81301 100000\n31974 47974\n64717 97067\n97065 100000\n86105 100000\n60885 91340\n73194 100000\n19107 28725\n31113 46693\n81474 100000\n58748 88117\n22782 34186\n91914 100000\n30985 46510\n61588 92383\n73674 100000\n5999 9019\n68997 100000\n17442 26214\n29265 43891\n55386 83057\n33890 50825\n70469 100000\n83128 100000\n43726 65592\n78860 100000\n37748 56601\n61684 92526\n31623 47449\n54304 81394\n28164 42235\n63846 95742\n26321 39492\n90951 100000\n85319 100000\n10915 16376\n6811 10236\n41292 61938\n5365 8070\n9203 13801\n44843 67250\n69053 100000\n53749 80556\n2814 4246\n5114 7694\n73052 100000\n91425 100000\n78104 100000\n60353 90545\n58409 87615\n22069 33142\n77474 100000\n44202 66293\n12903 19365\n49698 74498\n43382 65076\n2922 4409\n99580 100000\n40113 60146\n41617 62422\n19027 28609\n5899 8868\n33970 50940\n7826 11755\n98231 100000\n74491 100000\n59 91\n31992 48003\n40124 60164\n29323 43985\n5731 8609\n61448 92177\n39418 59098\n22780 34184\n7118 10705\n52252 78306\n37025 55519\n6514 9802\n22401 33623\n83479 100000\n13470 20239\n91585 100000\n50275 75367\n67920 100000\n76156 100000\n2638 3974\n79858 100000\n80389 100000\n16603 24966\n46239 69326\n67652 100000\n97431 100000\n70505 100000\n2476 3727\n47320 70931\n25911 38877\n28687 43025\n73096 100000\n20161 30308\n3063 4622\n79759 100000\n17308 26020\n77160 100000\n20623 30992\n97894 100000\n69292 100000\n14433 21698\n42662 63981\n59937 89928\n18539 27861\n35993 53960\n71773 100000\n90446 100000\n67171 100000\n62211 93323\n11900 17866\n78506 100000\n40731 61081\n1623 2447\n39706 59541\n31712 47584\n65343 98015\n55083 82598\n99041 100000\n51270 76860\n21980 33015\n80222 100000\n60276 90424\n99345 100000\n65475 98212\n74386 100000\n21155 31796\n10440 15670\n93244 100000\n84801 100000\n11264 16903\n26471 39712\n90157 100000\n63388 95067\n5322 8003\n18274 27454\n10867 16303\n81939 100000\n44629 66935\n95766 100000\n20446 30727\n75455 100000\n56892 85319\n49327 73928\n2842 4290\n23295 34960\n3791 5713\n19088 28702\n31584 47390\n20872 31374\n8002 12014\n69820 100000\n8871 13310\n29434 44145\n28247 42358\n74621 100000\n68464 100000\n21894 32888\n63985 95949\n25790 38693\n51778 77596\n78334 100000\n49833 74709\n78252 100000\n3534 5325\n60178 90285\n50724 76044\n3219 4858\n31674 47527\n88085 100000\n43946 65914\n55398 83073\n94670 100000\n63999 95975\n77660 100000\n94863 100000\n20406 30671\n19489 29306\n83407 100000\n98639 100000\n86921 100000\n75776 100000\n85710 100000\n26424 39643\n4374 6586\n50566 75801\n66870 100000\n18859 28362\n61740 92609\n38545 57804\n6223 9371\n73368 100000\n86443 100000\n57741 86600\n373 572\n78464 100000\n73553 100000\n53970 80893\n16615 24984\n41169 61747\n21072 31674\n22110 33206\n5246 7889\n14683 22086\n89592 100000\n41498 62246\n3971 5971\n46099 69126\n84754 100000\n72375 100000\n90489 100000\n83522 100000\n2359 3547\n1151 1742\n19687 29601\n94728 100000\n50185 75227\n40292 60415\n89720 100000\n40461 60673\n42402 63600\n60624 90941\n52465 78630\n3001 4532\n76523 100000\n68028 100000\n88115 100000\n21099 31717\n99966 100000\n1398 2114\n18673 28068\n40069 60082\n67788 100000\n65527 98292\n89232 100000\n4033 6057\n668 1019\n71957 100000\n80881 100000\n26069 39113\n4112 6188\n55236 82831\n37493 56215\n14550 21875\n37399 56073\n976 1481\n95500 100000\n7413 11140\n87645 100000\n24797 37206\n58836 88245\n35850 53749\n54055 81019\n84668 100000\n44800 67189\n2102 3154\n52843 79200\n40166 60230\n70604 100000\n30122 45172\n33420 50114\n15787 23742\n59944 89940\n7586 11403\n60200 90316\n26981 40446\n92268 100000\n23096 34666\n65426 98143\n31666 47514\n32102 48169\n8126 12202\n44595 66881\n3189 4812\n24696 37049\n66118 99198\n44977 67447\n75015 100000\n87867 100000\n94890 100000\n50783 76134\n73519 100000\n91438 100000\n63371 95046\n99113 100000\n20978 31536\n11371 17063\n48144 72146\n53120 79611\n52023 77974\n58382 87577\n84900 100000\n57018 85516\n61568 92354\n95886 100000\n59333 88995\n97887 100000\n99055 100000\n1796 2705\n94917 100000\n62052 93085\n54222 81267\n971 1474\n70407 100000\n89139 100000\n97189 100000\n77427 100000\n61716 92571\n60300 90462\n22673 34034\n96053 100000\n66017 99039\n81772 100000\n84229 100000\n6521 9811\n89569 100000\n1934 2908\n30738 46125\n6268 9439\n48295 72371\n30715 46091\n55281 82900\n22386 33602\n10103 15164\n21173 31822\n71422 100000\n97449 100000\n23268 34918\n26759 40131\n75378 100000\n81504 100000\n45915 68852\n76192 100000\n63178 94768\n71493 100000\n70925 100000\n11519 17290\n96514 100000\n22018 33069\n41563 62344\n78603 100000\n66659 100000\n42075 63108\n94065 100000\n83857 100000\n13177 19791\n1188 1796\n20287 30495\n72226 100000\n10972 16459\n39056 58546\n28386 42573\n78585 100000\n4795 7218\n1217 1844\n73243 100000\n32954 49427\n13431 20178\n92031 100000\n35287 52915\n62429 93661\n59380 89065\n77452 100000\n71901 100000\n84290 100000\n34438 51643\n92406 100000\n98902 100000\n50572 75811\n55806 83696\n48454 72612\n46771 70109\n91134 100000\n15958 23993\n65302 97949\n86510 100000\n76041 100000\n1620 2443\n16588 24943\n8237 12368\n43214 64813\n80182 100000\n48121 72108\n69335 100000\n71950 100000\n85990 100000\n38925 58358\n83525 100000\n83631 100000\n922 1402\n89251 100000\n32015 48035\n49141 73655\n64670 96995\n71387 100000\n49050 73521\n19856 29855\n35305 52940\n22058 33126\n84134 100000\n70744 100000\n78409 100000\n33398 50079\n60573 90865\n28446 42662\n23594 35402\n36223 54305\n67644 100000\n2602 3924\n69806 100000\n59676 89533\n27690 41520\n83753 100000\n89349 100000\n23736 35614\n32455 48690\n78044 100000\n84241 100000\n99339 100000\n26511 39770\n73382 100000\n81144 100000\n56887 85311\n9100 13640\n19602 29475\n8779 13170\n60562 90852\n60544 90825\n60113 90196\n20988 31552\n73784 100000\n98917 100000\n14862 22357\n95351 100000\n85350 100000\n6338 9548\n68275 100000\n64132 96186\n89098 100000\n13216 19851\n28921 43381\n98544 100000\n49129 73637\n31233 46874\n5710 8581\n2285 3436\n34814 52217\n97696 100000\n29435 44147\n83486 100000\n45714 68558\n69903 100000\n16261 24448\n73720 100000\n8766 13153\n22928 34406\n2094 3142\n65492 98236\n23928 35903\n30532 45809\n19 32\n80178 100000\n88225 100000\n8172 12270\n15285 23002\n36829 55229\n22867 34316\n94815 100000\n31448 47184\n36049 54044\n96820 100000\n86134 100000\n38910 58336\n84525 100000\n50839 76215\n62705 94069\n85017 100000\n38371 57537\n65698 98552\n11725 17599\n42966 64438\n18121 27224\n42863 64288\n62354 93550\n76222 100000\n49632 74394\n64456 96669\n22809 34230\n287 441\n79477 100000\n88409 100000\n68904 100000\n17635 26494\n99895 100000\n52746 79051\n37745 56597\n18256 27428\n17488 26281\n81713 100000\n98859 100000\n27743 41606\n42020 63029\n85187 100000\n62652 93991\n97978 100000\n24023 36053\n39824 59712\n53625 80375\n46602 69860\n2123 3184\n14193 21341\n99595 100000\n49797 74657\n93271 100000\n36314 54449\n97442 100000\n95680 100000\n26273 39418\n4997 7516\n8033 12059\n39441 59136\n34942 52408\n81438 100000\n71965 100000\n6548 9849\n86713 100000\n98996 100000\n20540 30861\n83438 100000\n19683 29594\n4042 6072\n4946 7444\n30612 45931\n90775 100000\n10250 15388\n8659 12991\n6147 9249\n80167 100000\n23288 34950\n86553 100000\n33197 49783\n21853 32832\n77931 100000\n50990 76439\n57691 86527\n23021 34540\n90835 100000\n6706 10088\n94631 100000\n66237 99375\n22022 33076\n20247 30440\n19108 28726\n6192 9322\n77270 100000\n25967 38958\n35186 52771\n76362 100000\n86840 100000\n9590 14389\n91450 100000\n53063 79531\n44167 66240\n57518 86270\n76135 100000\n84796 100000\n26828 40230\n32587 48878\n61139 91715\n20791 31251\n93800 100000\n94945 100000\n93683 100000\n28721 43076\n42125 63185\n99247 100000\n85484 100000\n71942 100000\n54823 82196\n61295 91950\n55631 83432\n42144 63215\n31538 47319\n58449 87680\n13382 20097\n95076 100000\n21204 31869\n48925 73333\n77480 100000\n42310 63462\n37633 56431\n99666 100000\n90617 100000\n36202 54272\n21744 32663\n96196 100000\n37662 56475\n79783 100000\n85032 100000\n43967 65947\n19550 29395\n26341 39523\n57200 85783\n93454 100000\n45000 67484\n87173 100000\n13764 20688\n8975 13462\n88627 100000\n81014 100000\n50737 76066\n28201 42289\n67024 100000\n32396 48605\n42039 63059\n57230 85829\n92591 100000\n5237 7877\n44420 66620\n73263 100000\n40424 60614\n48022 71963\n7159 10766\n99897 100000\n35308 52945\n8663 12998\n49199 73740\n87342 100000\n46134 69178\n15526 23361\n51760 77569\n5049 7593\n48693 72983\n39521 59258\n16295 24499\n98230 100000\n79557 100000\n33591 50371\n78573 100000\n20572 30910\n35933 53873\n25986 38984\n12213 18339\n90483 100000\n50886 76288\n6764 10172\n55342 82990\n62457 93704\n30645 45985\n76550 100000\n49267 73836\n94669 100000\n2321 3492\n66298 99465\n34571 51848\n95459 100000\n2544 3833\n49052 73524\n58200 87290\n20271 30471\n7833 11766\n77674 100000\n25232 37865\n76392 100000\n36543 54788\n88524 100000\n75226 100000\n59196 88788\n74768 100000\n48303 72383\n71313 100000\n59663 89512\n607 931\n21372 32121\n93096 100000\n31143 46736\n10837 16257\n86640 100000\n76580 100000\n34022 51014\n87759 100000\n82343 100000\n44145 66213\n69106 100000\n66091 99154\n71711 100000\n74816 100000\n71453 100000\n83530 100000\n11792 17701\n21511 32333\n91223 100000\n98801 100000\n75316 100000\n20054 30151\n33620 50414\n313 479\n7787 11700\n99415 100000\n23284 34943\n28330 42487\n65457 98182\n98953 100000\n9083 13615\n47314 70922\n12957 19448\n84136 100000\n34708 52056\n2078 3120\n60247 90381\n54855 82243\n32293 48445\n783 1191\n35367 53032\n67980 100000\n54052 81015\n54522 81734\n80636 100000\n63953 95902\n92457 100000\n74477 100000\n3163 4773\n4533 6821\n12861 19302\n80920 100000\n83937 100000\n96342 100000\n67798 100000\n23817 35733\n83406 100000\n86002 100000\n68223 100000\n71888 100000\n39807 59686\n8054 12089\n63191 94786\n50717 76033\n18660 28046\n14697 22111\n29964 44935\n27990 41976\n53745 80550\n82771 100000\n37166 55725\n49500 74191\n49865 74758\n75427 100000\n72219 100000\n12474 18720\n93113 100000\n85807 100000\n14807 22277\n73564 100000\n56186 84263\n55135 82682\n9432 14147\n71572 100000\n19867 29870\n2322 3493\n35932 53871\n69398 100000\n56663 84983\n64482 96708\n55632 83434\n8159 12251\n13048 19593\n36589 54863\n11078 16626\n47526 71221\n69104 100000\n9407 14111\n41497 62245\n78492 100000\n13653 20520\n87081 100000\n70907 100000\n1803 2714\n59279 88916\n6389 9629\n81241 100000\n47600 71335\n37961 56922\n94812 100000\n25755 38634\n78160 100000\n38065 57079\n86950 100000\n81700 100000\n14456 21735\n73873 100000\n70285 100000\n22987 34491\n31149 46745\n29201 43788\n67204 100000\n12437 18664\n67270 100000\n97827 100000\n265 407\n95208 100000\n32164 48257\n62731 94109\n81045 100000\n39752 59604\n46140 69188\n39183 58730\n10963 16445\n22413 33641\n767 1169\n70839 100000\n28363 42537\n60208 90327\n62231 93356\n61942 92924\n5908 8882\n85140 100000\n72675 100000\n63704 95530\n72426 100000\n83850 100000\n29757 44616\n5064 7617\n85424 100000\n74692 100000\n83215 100000\n12674 19023\n17159 25787\n76335 100000\n68707 100000\n84733 100000\n88594 100000\n58955 88428\n94678 100000\n73018 100000\n12447 18679\n67882 100000\n98391 100000\n26591 39890\n68336 100000\n46254 69352\n37123 55660\n47264 70850\n44252 66368\n36403 54584\n28086 42121\n39055 58544\n64966 97441\n86000 100000\n9919 14893\n28411 42607\n83629 100000\n76366 100000\n48262 72320\n71908 100000\n78805 100000\n78347 100000\n45525 68279\n87095 100000\n99887 100000\n78701 100000\n73623 100000\n48550 72764\n94072 100000\n59168 88748\n83389 100000\n59386 89074\n19349 29090\n90720 100000\n37160 55716\n84324 100000\n16752 25186\n61652 92479\n75673 100000\n26731 40087\n36835 55238\n53738 80539\n51259 76843\n71748 100000\n19507 29332\n59926 89912\n86947 100000\n91204 100000\n93984 100000\n3615 5442\n79419 100000\n46584 69831\n15372 23130\n25491 38244\n92493 100000\n93223 100000\n75851 100000\n40824 61229\n99185 100000\n90430 100000\n66286 99449\n75146 100000\n9623 14440\n82284 100000\n29795 44677\n45454 68170\n74472 100000\n8097 12157\n44095 66131\n81813 100000\n57677 86508\n17786 26726\n44526 66778\n81748 100000\n87212 100000\n96100 100000\n52402 78535\n2765 4169\n25225 37856\n6097 9171\n33735 50586\n17445 26218\n60684 91033\n91214 100000\n48449 72605\n67602 100000\n98984 100000\n59837 89779\n78848 100000\n73908 100000\n7366 11071\n84191 100000\n38952 58394\n25484 38233\n63647 95449\n37977 56947\n1152 1743\n4818 7251\n95141 100000\n92516 100000\n15371 23129\n74939 100000\n63429 95129\n57864 86774\n62610 93929\n33937 50890\n83163 100000\n30006 44995\n95993 100000\n20599 30954\n26411 39623\n85571 100000\n40907 61348\n9088 13622\n29836 44739\n24936 37416\n42926 64381\n83052 100000\n40391 60567\n63018 94537\n44343 66505\n31628 47455\n54317 81413\n58417 87626\n24844 37278\n12722 19090\n51324 76935\n42199 63301\n88337 100000\n53870 80738\n55404 83081\n60019 90051\n87892 100000\n23636 35462\n83487 100000\n42759 64130\n86997 100000\n75911 100000\n35080 52614\n37568 56327\n82780 100000\n24630 36950\n14639 22017\n43246 64864\n20192 30355\n96081 100000\n45812 68700\n26243 39374\n19830 29814\n16112 24224\n36075 54083\n36050 54046\n6373 9606\n88844 100000\n54458 81643\n85877 100000\n89018 100000\n92664 100000\n93607 100000\n6397 9641\n70339 100000\n64889 97319\n316 483\n7326 11014\n38081 57103\n59996 90020\n84709 100000\n86041 100000\n85392 100000\n70830 100000\n76063 100000\n59690 89554\n62933 94410\n10563 15842\n69438 100000\n2627 3958\n77906 100000\n71763 100000\n8499 12749\n60806 91217\n40695 61023\n28185 42265\n85440 100000\n26827 40229\n42633 63942\n13378 20090\n76213 100000\n74592 100000\n94723 100000\n14031 21099\n17655 26526\n69110 100000\n74824 100000\n45085 67623\n38826 58213\n78323 100000\n27057 40561\n97474 100000\n39258 58856\n15605 23478\n6947 10442\n14918 22442\n15701 23620\n48822 73177\n49134 73644\n89732 100000\n45046 67559\n70231 100000\n62111 93163\n56232 84337\n29578 44350\n39993 59962\n47915 71802\n62572 93870\n26209 39320\n72838 100000\n40894 61329\n2848 4299\n1409 2131\n55316 82955\n92617 100000\n35321 52965\n75318 100000\n93648 100000\n55872 83789\n44889 67322\n14293 21489\n72959 100000\n53551 80262\n27941 41908\n28806 43209\n35938 53879\n14316 21523\n14507 21808\n58186 87270\n4281 6443\n22792 34203\n84878 100000\n72978 100000\n69940 100000\n96681 100000\n8549 12823\n33538 50290\n84594 100000\n6784 10199\n86389 100000\n96295 100000\n76679 100000\n6228 9379\n72081 100000\n53039 79495\n21682 32569\n50993 76443\n52396 78525\n20077 30181\n42620 63927\n18884 28400\n22647 33997\n13518 20312\n98243 100000\n73063 100000\n21866 32852\n50441 75617\n5291 7954\n72086 100000\n64709 97054\n93835 100000\n53154 79665\n47023 70485\n30292 45428\n43803 65700\n55319 82959\n76132 100000\n89312 100000\n73247 100000\n30007 44996\n3434 5183\n24973 37472\n44799 67187\n26340 39521\n45776 68646\n14366 21598\n15534 23373\n32239 48369\n2550 3842\n25295 37955\n3726 5614\n51058 76543\n68040 100000\n76742 100000\n11154 16739\n27089 40610\n33530 50278\n77995 100000\n60645 90974\n12793 19196\n67960 100000\n2209 3319\n14607 21961\n1111 1675\n26774 40154\n58900 88343\n7756 11655\n65532 98300\n74196 100000\n10841 16263\n29973 44949\n42155 63232\n32992 49482\n93699 100000\n325 496\n60953 91443\n77230 100000\n32890 49330\n21623 32487\n65086 97625\n61127 91700\n69556 100000\n81294 100000\n15085 22701\n31603 47419\n40859 61279\n14906 22422\n97306 100000\n6333 9542\n6915 10391\n23822 35741\n54728 82049\n96331 100000\n12209 18333\n12811 19223\n84143 100000\n18490 27782\n74877 100000\n16681 25082\n34414 51608\n12002 18015\n12707 19067\n58537 87804\n49672 74460\n61384 92087\n67248 100000\n47898 71772\n49452 74118\n76545 100000\n8780 13171\n46006 68985\n79014 100000\n24436 36671\n53292 79884\n65149 97716\n94654 100000\n28951 43429\n81055 100000\n7084 10652\n25351 38036\n64124 96171\n5429 8159\n91560 100000\n74930 100000\n79683 100000\n1795 2704\n31614 47436\n30116 45162\n15390 23158\n65894 98856\n66480 99738\n36194 54259\n40440 60638\n44976 67445\n59869 89828\n7180 10798\n26849 40262\n63009 94523\n86540 100000\n80623 100000\n85053 100000\n86304 100000\n63248 94868\n2692 4054\n68195 100000\n71394 100000\n71359 100000\n64239 96348\n30018 45013\n89 139\n2294 3449\n15154 22803\n36288 54411\n53390 80029\n86888 100000\n72653 100000\n26356 39543\n91677 100000\n67100 100000\n40044 60041\n1548 2344\n31264 46914\n30835 46273\n2042 3068\n68551 100000\n66720 100000\n79076 100000\n84773 100000\n18579 27922\n5261 7908\n51212 76778\n83074 100000\n71411 100000\n64445 96653\n96142 100000\n45322 67979\n9263 13895\n25609 38411\n83173 100000\n40541 60795\n33776 50649\n27626 41422\n18169 27299\n90254 100000\n5787 8695\n85585 100000\n24169 36271\n19918 29945\n33795 50683\n16836 25308\n55433 83124\n60882 91335\n43031 64533\n31965 47959\n75780 100000\n39043 58529\n6161 9274\n74096 100000\n44995 67477\n95557 100000\n54752 82085\n91885 100000\n79572 100000\n85106 100000\n63409 95096\n11507 17269\n50997 76449\n55770 83646\n33 51\n68453 100000\n94907 100000\n26837 40244\n44780 67159\n42836 64246\n76472 100000\n29477 44209\n77182 100000\n5954 8951\n53705 80490\n46497 69703\n60940 91421\n65480 98217\n69469 100000\n43335 65006\n85276 100000\n4325 6510\n63038 94567\n94753 100000\n8683 13030\n59883 89848\n56500 84741\n61736 92603\n75750 100000\n63966 95920\n16214 24379\n12350 18536\n68516 100000\n41217 61820\n80032 100000\n99157 100000\n56589 84877\n58796 88188\n91470 100000\n32722 49086\n16189 24341\n11838 17770\n23984 35997\n37189 55760\n39619 59407\n92936 100000\n60745 91123\n12450 18683\n27962 41941\n96992 100000\n94340 100000\n92674 100000\n8487 12734\n87025 100000\n29630 44428\n17452 26228\n80490 100000\n94993 100000\n85918 100000\n49185 73721\n78192 100000\n90481 100000\n7831 11763\n76975 100000\n28128 42178\n30244 45357\n12197 18314\n18846 28340\n4104 6176\n78871 100000\n6953 10451\n99105 100000\n79262 100000\n59978 89995\n22426 33662\n83388 100000\n82791 100000\n95250 100000\n94947 100000\n1582 2390\n15546 23392\n27760 41631\n77948 100000\n92168 100000\n43342 65017\n67923 100000\n75918 100000\n99056 100000\n19919 29947\n69295 100000\n65977 98977\n38100 57133\n59841 89785\n14578 21915\n81475 100000\n39558 59315\n69296 100000\n38205 57293\n90748 100000\n90555 100000\n80501 100000\n61270 91910\n89523 100000\n13342 20038\n40532 60777\n33804 50698\n29045 43565\n18467 27744\n66446 99686\n16147 24276\n22850 34286\n57928 86875\n82834 100000\n60097 90172\n63513 95253\n34961 52435\n96310 100000\n78851 100000\n14308 21511\n11508 17271\n97461 100000\n26162 39251\n85182 100000\n9796 14699\n16398 24654\n78248 100000\n27945 41913\n22614 33944\n42244 63370\n68629 100000\n58458 87694\n10613 15917\n67300 100000\n16440 24719\n23162 34761\n77363 100000\n22074 33150\n25271 37922\n62850 94291\n18958 28508\n42518 63772\n82479 100000\n90786 100000\n91413 100000\n73761 100000\n96366 100000\n19847 29840\n83507 100000\n89556 100000\n77246 100000\n53887 80766\n16047 24129\n70312 100000\n21855 32836\n22839 34271\n55084 82600\n87208 100000\n91619 100000\n87248 100000\n15319 23051\n70678 100000\n24629 36949\n67477 100000\n98926 100000\n85002 100000\n13207 19840\n61100 91659\n99734 100000\n86048 100000\n21707 32607\n89111 100000\n14740 22179\n42523 63780\n44075 66101\n79053 100000\n67073 100000\n65599 98400\n22833 34263\n24923 37395\n17841 26810\n64306 96448\n12220 18350\n75123 100000\n31589 47397\n16512 24831\n90039 100000\n873 1325\n65635 98458\n97334 100000\n26958 40415\n46475 69671\n52748 79054\n84946 100000\n45798 68677\n59637 89472\n25464 38207\n24706 37067\n19791 29757\n15696 23613\n89235 100000\n81376 100000\n1863 2805\n8244 12379\n83678 100000\n81242 100000\n88952 100000\n78870 100000\n49117 73621\n16045 24125\n87124 100000\n87911 100000\n85755 100000\n14393 21639\n7514 11293\n50770 76113\n71301 100000\n13448 20205\n67097 100000\n78739 100000\n65336 98002\n95620 100000\n64987 97476\n7424 11155\n77279 100000\n57838 86737\n13662 20532\n99910 100000\n20757 31198\n79382 100000\n38202 57288\n94007 100000\n54251 81308\n75636 100000\n37141 55687\n62343 93532\n79045 100000\n14755 22201\n884 1342\n11954 17941\n50362 75501\n82755 100000\n2499 3766\n45637 68447\n5184 7796\n84492 100000\n83290 100000\n55967 83935\n9125 13678\n15282 22997\n11757 17648\n52859 79224\n16062 24150\n99348 100000\n90537 100000\n35296 52927\n54545 81771\n69000 100000\n42034 63051\n50482 75681\n76949 100000\n28427 42633\n51947 77855\n41590 62382\n21582 32435\n86020 100000\n96988 100000\n51880 77756\n39298 58920\n45089 67627\n96872 100000\n2200 3306\n47283 70879\n51081 76576\n33412 50101\n35968 53926\n86470 100000\n67585 100000\n83834 100000\n34289 51412\n1985 2983\n15937 23962\n18745 28186\n95307 100000\n67484 100000\n45093 67632\n81081 100000\n21093 31706\n71672 100000\n54585 81824\n49955 74884\n34166 51233\n10430 15655\n58034 87035\n41155 61723\n93373 100000\n59640 89477\n67347 100000\n11440 17172\n79486 100000\n77682 100000\n17623 26477\n79313 100000\n54319 81415\n82440 100000\n11998 18009\n37847 56749\n97522 100000\n26693 40038\n57209 85798\n14721 22149\n90238 100000\n38700 58035\n61310 91975\n93970 100000\n19286 28989\n61794 92693\n36753 55119\n33961 50926\n16574 24921\n33100 49641\n69862 100000\n38153 57211\n68167 100000\n3696 5566\n63872 95784\n30477 45721\n41957 62944\n56814 85205\n96704 100000\n22977 34477\n947 1440\n54942 82373\n63226 94834\n13810 20762\n45527 68282\n76806 100000\n85015 100000\n96913 100000\n33707 50542\n77892 100000\n46217 69293\n88361 100000\n76145 100000\n49030 73489\n4685 7052\n38745 58099\n64991 97480\n34936 52402\n68705 100000\n27135 40680\n47248 70821\n88192 100000\n80190 100000\n53874 80744\n93493 100000\n11845 17780\n9386 14080\n99305 100000\n3795 5719\n18476 27759\n60935 91413\n12041 18077\n9473 14205\n94438 100000\n26076 39124\n55952 83910\n48328 72419\n56785 85161\n9329 13998\n87845 100000\n59019 88519\n59266 88897\n55286 82908\n68030 100000\n51891 77768\n55403 83080\n81244 100000\n79995 100000\n8070 12114\n69643 100000\n74016 100000\n54733 82058\n76561 100000\n68984 100000\n39614 59398\n88412 100000\n55539 83292\n28139 42197\n72373 100000\n94449 100000\n15764 23710\n1716 2584\n92630 100000\n49339 73949\n21335 32070\n19204 28871\n34311 51446\n21572 32421\n91041 100000\n47985 71912\n93259 100000\n74000 100000\n25043 37578\n60189 90301\n34433 51635\n86965 100000\n62554 93848\n72133 100000\n63931 95873\n62330 93511\n96939 100000\n67699 100000\n63271 94903\n68556 100000\n70287 100000\n8645 12971\n33026 49529\n42972 64450\n50408 75572\n69369 100000\n77050 100000\n63096 94657\n11708 17580\n71918 100000\n37231 55825\n93691 100000\n19844 29834\n84204 100000\n51444 77109\n20475 30773\n95733 100000\n32274 48422\n46263 69362\n43774 65657\n20295 30507\n72596 100000\n54209 81248\n27500 41241\n34243 51346\n63583 95352\n10655 15980\n98026 100000\n85557 100000\n54774 82119\n20603 30961\n37441 56137\n92095 100000\n81416 100000\n50264 75349\n19455 29249\n94184 100000\n92081 100000\n90439 100000\n28146 42207\n57335 85996\n69102 100000\n45917 68854\n21560 32405\n20984 31545\n84918 100000\n51140 76667\n67033 100000\n85679 100000\n85289 100000\n48845 73213\n29563 44330\n36767 55141\n24099 36168\n41005 61496\n78857 100000\n26541 39818\n92984 100000\n11730 17605\n33281 49905\n28228 42330\n53339 79957\n74872 100000\n84647 100000\n26646 39975\n77779 100000\n54967 82412\n11643 17476\n71121 100000\n3514 5294\n79086 100000\n24295 36460\n36751 55116\n78519 100000\n64907 97349\n12627 18946\n68058 100000\n57700 86539\n5277 7932\n54525 81738\n30590 45898\n52025 77977\n54347 81460\n75259 100000\n12256 18398\n44520 66768\n23193 34806\n81675 100000\n87148 100000\n6925 10406\n58996 88484\n39245 58838\n29825 44725\n31209 46845\n40911 61354\n92738 100000\n98638 100000\n57156 85715\n68687 100000\n69424 100000\n34662 51983\n27590 41370\n33323 49968\n65243 97857\n20700 31110\n44988 67463\n81028 100000\n28873 43308\n83223 100000\n69719 100000\n58965 88443\n24867 37311\n53170 79694\n8724 13089\n45460 68180\n2046 3074\n71365 100000\n46393 69552\n16249 24431\n30615 45937\n19389 29153\n49386 74019\n90194 100000\n71743 100000\n84975 100000\n49176 73708\n34875 52312\n84625 100000\n33619 50412\n48112 72097\n40869 61293\n49467 74140\n48172 72186\n20936 31473\n428 655\n12886 19339\n41265 61897\n81570 100000\n33055 49573\n32865 49292\n28622 42926\n91991 100000\n91292 100000\n85516 100000\n52460 78622\n46515 69730\n85997 100000\n69138 100000\n89243 100000\n31984 47990\n33608 50395\n68184 100000\n96002 100000\n56610 84905\n16609 24975\n85370 100000\n6452 9713\n94038 100000\n21643 32517\n73554 100000\n75429 100000\n94597 100000\n58253 87374\n10533 15800\n34705 52052\n8102 12164\n28905 43356\n3897 5864\n49968 74901\n78709 100000\n53956 80873\n27583 41361\n14663 22055\n10144 15226\n57046 85553\n11578 17377\n19501 29322\n10790 16183\n93803 100000\n79336 100000\n25286 37942\n8986 13476\n30172 45248\n3557 5357\n56396 84589\n22242 33393\n63551 95304\n65772 98667\n61333 92009\n80181 100000\n88236 100000\n32476 48722\n23220 34850\n33156 49722\n63347 95009\n72326 100000\n98247 100000\n87086 100000\n52253 78308\n50628 75899\n18203 27349\n47189 70735\n25630 38442\n37089 55612\n82575 100000\n6759 10165\n45826 68721\n30263 45386\n90724 100000\n21029 31614\n22978 34478\n44876 67305\n64242 96352\n4045 6078\n92267 100000\n49033 73494\n41931 62905\n84715 100000\n28970 43456\n43718 65579\n39612 59395\n87190 100000\n26197 39301\n87197 100000\n19102 28718\n78599 100000\n33107 49649\n68777 100000\n6394 9637\n75314 100000\n70790 100000\n59041 88554\n56097 84132\n14472 21761\n23612 35426\n31375 47075\n16223 24391\n37072 55587\n82825 100000\n17394 26145\n67208 100000\n23436 35170\n27430 41130\n8678 13023\n8822 13237\n16305 24517\n19676 29582\n74503 100000\n51586 77308\n46278 69382\n26254 39391\n27460 41178\n8557 12837\n93149 100000\n63654 95457\n70775 100000\n88769 100000\n32853 49274\n66082 99141\n72423 100000\n55592 83372\n74430 100000\n97262 100000\n22592 33911\n98918 100000\n50276 75369\n24420 36649\n93633 100000\n51550 77258\n91212 100000\n32085 48145\n14868 22366\n61428 92147\n99384 100000\n15190 22855\n87833 100000\n79240 100000\n81647 100000\n80456 100000\n17298 26005\n67068 100000\n13038 19577\n83192 100000\n97534 100000\n52432 78582\n70033 100000\n90676 100000\n96335 100000\n86955 100000\n56125 84171\n36168 54219\n39154 58686\n39036 58518\n35955 53905\n13824 20781\n57282 85913\n89315 100000\n28189 42270\n28195 42279\n63705 95531\n55673 83497\n87164 100000\n98756 100000\n29165 43738\n84285 100000\n73885 100000\n95759 100000\n6408 9656\n74241 100000\n76585 100000\n77864 100000\n17458 26237\n95223 100000\n83633 100000\n22680 34045\n62427 93658\n89790 100000\n99443 100000\n79352 100000\n44661 66977\n70771 100000\n63911 95846\n37678 56499\n22734 34118\n77868 100000\n25356 38044\n99016 100000\n5957 8955\n13914 20919\n47956 71865\n56459 84683\n22866 34315\n17693 26582\n46428 69603\n17206 25860\n68948 100000\n96419 100000\n74986 100000\n38223 57319\n13009 19532\n64833 97235\n81811 100000\n20494 30801\n1498 2267\n74628 100000\n74318 100000\n85248 100000\n40635 60936\n47554 71265\n62673 94026\n76050 100000\n50576 75818\n97443 100000\n19510 29335\n51287 76883\n71439 100000\n72302 100000\n36095 54114\n18202 27348\n38191 57273\n82921 100000\n77491 100000\n84021 100000\n30786 46203\n57401 86098\n75396 100000\n77724 100000\n85212 100000\n39199 58759\n70442 100000\n38835 58227\n82319 100000\n32798 49197\n28946 43422\n99319 100000\n64620 96918\n995 1509\n57896 86825\n30618 45943\n6797 10218\n4426 6665\n59149 88718\n85194 100000\n53389 80027\n74663 100000\n72376 100000\n29656 44467\n78605 100000\n37188 55759\n14819 22296\n78059 100000\n18345 27561\n11043 16572\n99142 100000\n98340 100000\n93470 100000\n16549 24884\n66987 100000\n89496 100000\n32431 48658\n52330 78424\n51384 77025\n38620 57909\n88658 100000\n7437 11173\n31358 47053\n14272 21458\n37064 55574\n53272 79849\n97705 100000\n30982 46505\n20330 30562\n25019 37541\n6129 9222\n66129 99214\n1183 1789\n61986 92990\n14146 21273\n83348 100000\n78827 100000\n99440 100000\n27249 40853\n10444 15676\n4915 7393\n16594 24954\n48104 72084\n37438 56134\n98538 100000\n15931 23953\n22621 33954\n76622 100000\n82564 100000\n61982 92985\n92397 100000\n75474 100000\n56241 84351\n39606 59387\n1057 1595\n37413 56095\n89882 100000\n25498 38254\n71779 100000\n51591 77315\n9556 14338\n2249 3378\n13079 19640\n66778 100000\n67501 100000\n80906 100000\n41685 62524\n54278 81352\n62279 93426\n79234 100000\n66958 100000\n69665 100000\n5596 8413\n66852 100000\n1084 1638\n20186 30345\n25539 38309\n39602 59383\n77703 100000\n43632 65446\n40382 60553\n65044 97557\n62906 94372\n42437 63653\n1604 2421\n96245 100000\n20437 30715\n23169 34773\n94257 100000\n11776 17677\n26152 39237\n82712 100000\n20203 30375\n20656 31040\n83756 100000\n12189 18300\n4623 6960\n6292 9477\n27045 40544\n1253 1899\n30516 45782\n39843 59738\n74015 100000\n84284 100000\n88117 100000\n70918 100000\n66658 99998\n78496 100000\n14779 22235\n25582 38372\n6614 9949\n14142 21267\n19401 29170\n62280 93428\n49794 74651\n21077 31682\n59972 89986\n15578 23437\n93124 100000\n81470 100000\n89527 100000\n10662 15992\n43264 64891\n4324 6509\n8536 12803\n13093 19663\n12053 18095\n49425 74076\n45409 68107\n70017 100000\n59464 89199\n34306 51440\n71717 100000\n38470 57689\n31098 46672\n90635 100000\n29605 44392\n49218 73770\n62096 93144\n10529 15792\n58677 88006\n59202 88797\n73103 100000\n35994 53962\n84303 100000\n36977 55444\n81707 100000\n33405 50091\n78791 100000\n28998 43497\n82637 100000\n40884 61313\n33783 50662\n18492 27785\n38099 57132\n68661 100000\n83033 100000\n78345 100000\n11385 17086\n49907 74816\n25568 38351\n4980 7492\n4432 6672\n58414 87621\n65070 97600\n30589 45897\n68591 100000\n18162 27287\n85648 100000\n47059 70540\n46434 69613\n83936 100000\n89903 100000\n92967 100000\n31320 46998\n50509 75720\n34910 52364\n59789 89708\n56771 85139\n78367 100000\n21781 32720\n66999 100000\n68880 100000\n46188 69254\n73252 100000\n62489 93750\n96517 100000\n42841 64255\n40870 61295\n39623 59414\n3804 5731\n28860 43290\n3866 5818\n76682 100000\n79874 100000\n2896 4370\n89669 100000\n11254 16888\n64058 96072\n13141 19731\n47001 70451\n83010 100000\n5822 8752\n84540 100000\n24464 36713\n58522 87782\n40096 60120\n81211 100000\n84567 100000\n79466 100000\n4796 7219\n24400 36620\n93557 100000\n94011 100000\n90208 100000\n55361 83020\n18464 27738\n89671 100000\n59977 89994\n26513 39773\n92640 100000\n2576 3884\n20346 30588\n49639 74408\n78402 100000\n79574 100000\n87407 100000\n60373 90575\n17237 25907\n9343 14018\n29817 44715\n57285 85918\n20324 30552\n53814 80653\n34041 51043\n39897 59819\n32552 48832\n50778 76125\n18830 28316\n35193 52781\n67909 100000\n81135 100000\n59556 89342\n98418 100000\n41375 62060\n2178 3274\n26259 39396\n18034 27094\n7797 11712\n12302 18460\n53636 80391\n53850 80709\n3840 5780\n60664 91002\n30205 45301\n68642 100000\n53076 79548\n89618 100000\n20045 30137\n68046 100000\n17284 25980\n81300 100000\n86065 100000\n67082 100000\n57914 86853\n49739 74564\n44716 67064\n28191 42274\n98202 100000\n55648 83457\n20000 30071\n67122 100000\n63216 94820\n51989 77922\n40467 60682\n29391 44088\n27228 40817\n75930 100000\n40042 60037\n6621 9960\n2190 3293\n14138 21262\n92285 100000\n56507 84751\n51972 77894\n48544 72755\n4564 6870\n50081 75066\n57593 86377\n75495 100000\n31212 46849\n54765 82106\n8007 12019\n55918 83856\n24637 36961\n62809 94230\n22855 34296\n11889 17848\n16207 24368\n45495 68236\n66882 100000\n10055 15090\n49508 74204\n67324 100000\n37967 56929\n50029 74992\n71408 100000\n8744 13120\n69068 100000\n29359 44043\n27739 41601\n73972 100000\n99299 100000\n15751 23692\n76250 100000\n26551 39832\n13982 21020\n60220 90342\n17071 25647\n4839 7278\n26712 40063\n10173 15272\n75702 100000\n94793 100000\n71239 100000\n43838 65749\n38473 57693\n43332 65002\n55626 83425\n9228 13842\n4791 7214\n65043 97555\n140 216\n34148 51204\n9769 14660\n76722 100000\n61775 92666\n17043 25604\n39417 59097\n74470 100000\n51715 77500\n66933 100000\n63896 95822\n47273 70863\n53296 79889\n36271 54382\n55302 82934\n2718 4097\n89128 100000\n23054 34599\n45641 68452\n99395 100000\n2162 3248\n85070 100000\n38812 58195\n77523 100000\n95762 100000\n62789 94197\n90367 100000\n34281 51401\n37507 56236\n87903 100000\n55210 82795\n72667 100000\n84811 100000\n37590 56363\n80531 100000\n47649 71412\n64575 96848\n36837 55242\n23723 35593\n62041 93069\n87308 100000\n50811 76173\n73877 100000\n82263 100000\n99918 100000\n59226 88833\n61376 92075\n54465 81654\n99989 100000\n76470 100000\n63187 94781\n9611 14421\n14094 21196\n86675 100000\n69613 100000\n19800 29772\n91233 100000\n95469 100000\n94176 100000\n85682 100000\n33125 49673\n66184 99293\n10367 15556\n72734 100000\n75177 100000\n82386 100000\n87007 100000\n22397 33618\n48100 72077\n33199 49786\n78925 100000\n1213 1837\n90821 100000\n12444 18674\n32011 48030\n97593 100000\n51394 77040\n30724 46104\n67850 100000\n88695 100000\n55017 82496\n80932 100000\n17466 26250\n69223 100000\n35871 53783\n33375 50043\n27674 41493\n67582 100000\n67815 100000\n7306 10982\n67813 100000\n76236 100000\n50061 75035\n78161 100000\n89637 100000\n74906 100000\n24473 36727\n76787 100000\n73225 100000\n17379 26127\n96691 100000\n96859 100000\n58509 87761\n93864 100000\n7094 10668\n43448 65178\n12512 18772\n24244 36379\n37474 56189\n82140 100000\n49480 74160\n23507 35273\n25311 37978\n59317 88971\n68723 100000\n88283 100000\n67862 100000\n22748 34140\n24665 37003\n7639 11480\n67933 100000\n28913 43369\n38622 57912\n5619 8447\n19536 29373\n20181 30339\n798 1213\n33757 50621\n73017 100000\n11473 17222\n34553 51819\n15203 22873\n92331 100000\n54456 81641\n72691 100000\n38680 58001\n1011 1531\n56669 84991\n25999 39004\n32718 49080\n97101 100000\n97927 100000\n32137 48218\n89661 100000\n7693 11559\n1113 1678\n74942 100000\n33614 50405\n88685 100000\n92260 100000\n46856 70231\n34335 51482\n70503 100000\n93129 100000\n9061 13583\n70184 100000\n31084 46652\n22576 33889\n56230 84333\n99838 100000\n15153 22802\n76581 100000\n5984 8993\n78034 100000\n87446 100000\n98457 100000\n52447 78602\n97248 100000\n41555 62332\n54409 81562\n84829 100000\n70221 100000\n92021 100000\n99677 100000\n36579 54847\n71927 100000\n95472 100000\n58910 88356\n76227 100000\n36134 54169\n95016 100000\n1092 1649\n48987 73424\n88290 100000\n16742 25172\n31376 47076\n34200 51281\n16298 24504\n29387 44082\n73655 100000\n44153 66222\n75144 100000\n3310 4996\n25753 38632\n89393 100000\n20848 31336\n45951 68902\n25617 38423\n77276 100000\n86390 100000\n77370 100000\n24115 36192\n20896 31411\n10164 15256\n12364 18556\n71829 100000\n31735 47622\n21998 33040\n85649 100000\n35646 53444\n2965 4476\n54 84\n65849 98783\n83141 100000\n94410 100000\n11872 17820\n5457 8202\n25178 37787\n29080 43611\n43143 64711\n66695 100000\n55277 82893\n89984 100000\n2557 3853\n99980 100000\n21948 32970\n7543 11336\n5292 7956\n64079 96099\n23104 34676\n18450 27715\n23635 35460\n98762 100000\n69939 100000\n78998 100000\n62775 94178\n47158 70688\n68770 100000\n6661 10018\n58278 87412\n14955 22495\n69301 100000\n72720 100000\n87558 100000\n15160 22812\n79052 100000\n23690 35542\n88253 100000\n20960 31509\n10497 15752\n49971 74906\n50903 76316\n8353 12542\n41703 62555\n29209 43802\n15424 23211\n92387 100000\n91600 100000\n74760 100000\n47640 71396\n98851 100000\n76643 100000\n73705 100000\n66343 99530\n11624 17445\n28595 42882\n5929 8910\n60420 90645\n8890 13338\n73922 100000\n16313 24528\n52852 79214\n46318 69444\n80057 100000\n26605 39913\n49010 73458\n75716 100000\n52179 78201\n41348 62020\n74993 100000\n16810 25269\n46799 70147\n41458 62184\n28402 42593\n57880 86800\n19458 29255\n67054 100000\n33145 49707\n30331 45485\n35211 52806\n42156 63233\n65907 98873\n77425 100000\n35952 53901\n57381 86069\n19806 29781\n4456 6708\n19891 29905\n16853 25336\n98596 100000\n37078 55595\n1457 2205\n31523 47297\n52455 78613\n76379 100000\n23404 35122\n22617 33948\n99488 100000\n1689 2545\n9133 13690\n13795 20734\n52583 78805\n11437 17167\n36562 54818\n86450 100000\n5304 7976\n74732 100000\n81950 100000\n7521 11304\n52174 78194\n29865 44783\n58530 87796\n99027 100000\n15474 23286\n60324 90502\n35604 53380\n8881 13326\n69174 100000\n22620 33953\n5937 8924\n26276 39422\n5833 8769\n67332 100000\n23777 35674\n70849 100000\n56329 84483\n29595 44376\n13471 20240\n93613 100000\n61671 92509\n70341 100000\n93767 100000\n13309 19985\n693 1059\n47090 70587\n29777 44649\n80714 100000\n84328 100000\n79178 100000\n91845 100000\n20522 30838\n38176 57252\n2873 4335\n22788 34197\n82106 100000\n60058 90110\n60675 91019\n85258 100000\n2961 4470\n25412 38128\n5482 8239\n74391 100000\n64784 97164\n85821 100000\n56067 84084\n19168 28820\n64265 96388\n43082 64612\n96390 100000\n22486 33753\n7811 11733\n22998 34507\n82604 100000\n67272 100000\n35661 53466\n78771 100000\n85365 100000\n30969 46485\n15775 23724\n16658 25050\n61065 91607\n85007 100000\n63311 94957\n45986 68952\n21422 32199\n29408 44111\n41331 61994\n53081 79557\n18836 28324\n66398 99614\n44258 66378\n36668 54985\n64390 96572\n13961 20991\n40554 60812\n7349 11048\n56058 84071\n34239 51339\n77722 100000\n45209 67806\n10480 15726\n25130 37715\n67243 100000\n13822 20777\n87715 100000\n26807 40203\n4697 7068\n34310 51445\n31001 46533\n92906 100000\n75602 100000\n61959 92951\n69558 100000\n80316 100000\n9038 13551\n72191 100000\n21081 31688\n45335 67998\n71881 100000\n8003 12015\n40579 60853\n13390 20111\n4106 6179\n1758 2647\n31476 47225\n83744 100000\n81159 100000\n12279 18429\n97860 100000\n74852 100000\n98854 100000\n79495 100000\n16821 25287\n2072 3112\n18241 27407\n67879 100000\n94537 100000\n91803 100000\n90535 100000\n55038 82531\n8764 13151\n43488 65236\n60619 90934\n69882 100000\n48435 72584\n84638 100000\n64127 96176\n17494 26289\n69421 100000\n57723 86573\n68075 100000\n69915 100000\n98965 100000\n78269 100000\n36810 55207\n52587 78813\n58574 87853\n94199 100000\n31624 47450\n53643 80400\n64951 97422\n28349 42517\n36578 54845\n48382 72503\n17846 26816\n77209 100000\n79668 100000\n42201 63304\n62990 94495\n83802 100000\n30758 46156\n38020 57013\n12311 18473\n34538 51798\n93312 100000\n71815 100000\n10501 15757\n71698 100000\n76757 100000\n27455 41172\n98401 100000\n36351 54508\n13993 21036\n87369 100000\n96647 100000\n66729 100000\n92584 100000\n15187 22850\n58344 87518\n42050 63075\n44442 66652\n60039 90083\n7603 11426\n50553 75783\n76162 100000\n91469 100000\n69582 100000\n14783 22241\n72141 100000\n50751 76086\n40114 60147\n65524 98288\n35161 52736\n38380 57553\n74310 100000\n78 123\n36386 54560\n80972 100000\n24373 36579\n71386 100000\n56127 84174\n31334 47019\n48406 72536\n37704 56534\n91745 100000\n48551 72766\n643 983\n74021 100000\n84940 100000\n45143 67706\n68282 100000\n28531 42791\n47727 71530\n16244 24424\n46889 70282\n39161 58697\n88460 100000\n91849 100000\n52707 78992\n28646 42965\n35221 52818\n67008 100000\n42531 63793\n11098 16659\n90234 100000\n54793 82148\n77681 100000\n61770 92656\n67915 100000\n52163 78177\n62139 93207\n36750 55114\n94054 100000\n60121 90206\n84392 100000\n60792 91197\n6767 10176\n32254 48393\n80690 100000\n13488 20263\n5924 8903\n82022 100000\n86236 100000\n89590 100000\n69790 100000\n21196 31857\n52765 79077\n3471 5237\n57665 86491\n4148 6242\n75304 100000\n59412 89112\n18026 27082\n26202 39309\n84137 100000\n16767 25205\n21094 31708\n92106 100000\n81928 100000\n56087 84117\n7195 10821\n11289 16943\n95721 100000\n17697 26589\n12300 18456\n35846 53741\n89943 100000\n98616 100000\n14752 22197\n34688 52026\n84286 100000\n78395 100000\n26826 40228\n13150 19748\n2127 3190\n37332 55975\n36345 54497\n71795 100000\n39144 58672\n787 1196\n75787 100000\n77852 100000\n43882 65811\n19849 29843\n1633 2462\n38117 57156\n58437 87661\n74097 100000\n71189 100000\n64976 97457\n59348 89019\n25379 38080\n54695 81996\n53684 80456\n91381 100000\n46081 69099\n12745 19128\n17108 25703\n38570 57838\n96462 100000\n31215 46853\n27138 40683\n13000 19519\n68280 100000\n9585 14383\n25878 38826\n38321 57466\n95846 100000\n98092 100000\n91620 100000\n62791 94201\n985 1494\n11949 17934\n85283 100000\n88653 100000\n1341 2033\n12971 19468\n22553 33851\n46903 70300\n98717 100000\n99908 100000\n74694 100000\n58104 87144\n23561 35353\n53642 80398\n84546 100000\n64732 97088\n71293 100000\n64361 96527\n96112 100000\n57370 86051\n39511 59243\n98671 100000\n59933 89923\n90235 100000\n15725 23656\n30273 45401\n57945 86899\n64123 96169\n88036 100000\n43413 65122\n22378 33588\n30879 46341\n88538 100000\n847 1287\n35437 53140\n4308 6485\n38061 57074\n66759 100000\n85537 100000\n20560 30891\n20124 30253\n77498 100000\n27090 40612\n58004 86990\n32060 48105\n53754 80562\n75760 100000\n44886 67318\n20913 31441\n82924 100000\n66380 99588\n9365 14051\n65020 97518\n60511 90776\n53311 79917\n27676 41496\n70061 100000\n94488 100000\n4446 6695\n14087 21185\n4156 6255\n24517 36786\n76444 100000\n25395 38103\n54041 80996\n20090 30201\n49559 74287\n46221 69299\n76491 100000\n65558 98340\n14161 21295\n43170 64751\n61436 92160\n8810 13219\n30209 45305\n87586 100000\n73288 100000\n72218 100000\n55209 82793\n58194 87282\n96312 100000\n82713 100000\n3250 4902\n27900 41845\n40813 61214\n86171 100000\n84396 100000\n37077 55594\n18617 27978\n27738 41599\n25122 37704\n52024 77976\n57921 86862\n62179 93270\n6718 10106\n86811 100000\n21959 32983\n88494 100000\n5065 7618\n62245 93375\n25551 38327\n72912 100000\n86111 100000\n80186 100000\n87704 100000\n74490 100000\n489 748\n92642 100000\n83366 100000\n26636 39963\n85431 100000\n17074 25651\n48569 72792\n67275 100000\n91665 100000\n21311 32033\n39240 58831\n45437 68144\n43491 65241\n67480 100000\n51242 76820\n44623 66924\n88690 100000\n8061 12101\n28591 42877\n47619 71364\n70257 100000\n730 1113\n3085 4654\n16162 24298\n3986 5991\n79745 100000\n10946 16420\n59509 89275\n11520 17291\n55769 83645\n40775 61155\n39934 59875\n51442 77106\n11631 17456\n66884 100000\n49108 73607\n14441 21711\n60330 90510\n47903 71779\n68679 100000\n43267 64896\n1545 2340\n63885 95805\n68762 100000\n57420 86124\n89180 100000\n43739 65608\n20384 30644\n20744 31176\n20385 30645\n44216 66312\n54900 82309\n46772 70110\n47916 71803\n94081 100000\n25531 38298\n89938 100000\n47522 71215\n85414 100000\n39296 58916\n15557 23408\n1897 2856\n71656 100000\n1829 2750\n89711 100000\n14725 22154\n46682 69976\n17917 26919\n83661 100000\n50846 76226\n55809 83700\n74853 100000\n73293 100000\n43890 65824\n46530 69754\n26953 40408\n34116 51153\n5735 8614\n69703 100000\n99409 100000\n33486 50214\n15185 22847\n59063 88586\n4584 6902\n53148 79656\n40714 61052\n24544 36825\n99618 100000\n29168 43742\n52788 79113\n15498 23321\n94001 100000\n36673 54990\n32949 49420\n55376 83041\n18433 27693\n52711 78999\n65298 97943\n45156 67724\n94958 100000\n45647 68462\n17046 25608\n54063 81031\n68613 100000\n77418 100000\n84771 100000\n23926 35900\n88159 100000\n35130 52688\n11061 16600\n70637 100000\n60134 90227\n21023 31606\n82041 100000\n64160 96226\n40539 60791\n9674 14515\n50281 75377\n15562 23417\n13649 20513\n42815 64216\n50769 76112\n41366 62048\n83228 100000\n12755 19142\n31335 47020\n49543 74262\n30299 45438\n72096 100000\n39950 59897\n73919 100000\n24692 37044\n50884 76285\n54182 81209\n57589 86371\n5491 8252\n61058 91596\n97942 100000\n27774 41652\n683 1043\n84304 100000\n87711 100000\n78743 100000\n91747 100000\n96150 100000\n15844 23825\n34799 52195\n35997 53966\n22172 33298\n81348 100000\n95858 100000\n54588 81829\n28270 42394\n94766 100000\n48940 73356\n80857 100000\n66012 99032\n41813 62726\n34406 51596\n65469 98201\n3003 4535\n80180 100000\n29763 44626\n22103 33195\n61443 92169\n10065 15107\n47747 71556\n41545 62317\n86695 100000\n27343 40988\n48768 73094\n21618 32479\n64846 97254\n41715 62573\n98285 100000\n1107 1671\n44201 66291\n12766 19156\n74452 100000\n92110 100000\n95313 100000\n49522 74227\n85164 100000\n96890 100000\n17714 26614\n77405 100000\n10170 15267\n37151 55703\n45665 68488\n15236 22924\n25340 38022\n20502 30813\n80093 100000\n17685 26570\n1728 2601\n64113 96153\n61189 91791\n20347 30590\n86069 100000\n33825 50729\n19080 28689\n85167 100000\n23673 35518\n23462 35206\n13091 19659\n71435 100000\n47258 70839\n41599 62394\n88154 100000\n66296 99463\n10075 15121\n35257 52872\n47321 70932\n1973 2966\n10844 16267\n43722 65586\n21595 32453\n44622 66922\n26796 40187\n55795 83682\n24012 36037\n76503 100000\n42642 63955\n72307 100000\n78993 100000\n23264 34912\n92665 100000\n86757 100000\n31046 46599\n79217 100000\n744 1136\n84113 100000\n30974 46495\n67413 100000\n67966 100000\n10517 15776\n39928 59866\n30754 46149\n80933 100000\n25489 38241\n30886 46354\n66467 99720\n63321 94970\n23475 35224\n9159 13732\n22831 34260\n17782 26719\n74105 100000\n85717 100000\n65847 98780\n93346 100000\n47160 70691\n20307 30528\n12259 18402\n17044 25605\n87395 100000\n4467 6723\n25634 38449\n61183 91783\n78364 100000\n90800 100000\n13911 20914\n43153 64725\n92616 100000\n78276 100000\n25499 38255\n92490 100000\n86890 100000\n34227 51321\n13280 19938\n39182 58728\n85883 100000\n36550 54800\n4716 7097\n5176 7782\n38477 57700\n86900 100000\n18997 28566\n61678 92519\n49144 73659\n72485 100000\n47418 71069\n45991 68960\n69594 100000\n72925 100000\n86656 100000\n80874 100000\n30968 46483\n73685 100000\n1494 2261\n60008 90036\n91095 100000\n13805 20753\n69413 100000\n9404 14107\n52315 78405\n80407 100000\n91047 100000\n10488 15738\n24594 36897\n69914 100000\n88761 100000\n13690 20577\n61481 92227\n69787 100000\n95464 100000\n34825 52232\n36946 55397\n87176 100000\n89038 100000\n17847 26818\n1379 2087\n42057 63083\n74494 100000\n10229 15355\n27858 41784\n93025 100000\n5273 7926\n33481 50205\n22467 33724\n59517 89286\n92963 100000\n17492 26286\n55693 83527\n85372 100000\n61167 91760\n55772 83650\n82189 100000\n99174 100000\n8386 12589\n20949 31491\n68682 100000\n42083 63119\n61507 92263\n90538 100000\n60983 91486\n43319 64979\n70078 100000\n86760 100000\n33607 50394\n81266 100000\n76399 100000\n75800 100000\n24912 37377\n58897 88339\n9046 13563\n86365 100000\n77882 100000\n64532 96783\n62075 93117\n69403 100000\n64308 96451\n64452 96664\n99812 100000\n28692 43033\n50336 75458\n26164 39254\n67442 100000\n33411 50099\n44549 66810\n67830 100000\n13630 20485\n77788 100000\n97243 100000\n30132 45187\n65129 97683\n3091 4663\n84555 100000\n24376 36583\n61796 92695\n25313 37981\n61572 92359\n26407 39616\n44046 66062\n99080 100000\n95063 100000\n60482 90737\n91752 100000\n97396 100000\n51933 77832\n38726 58071\n63791 95658\n58982 88466\n15948 23978\n94192 100000\n99983 100000\n52312 78400\n29729 44576\n97336 100000\n10324 15497\n94250 100000\n9812 14723\n9664 14498\n79612 100000\n76790 100000\n37701 56531\n32399 48609\n69516 100000\n25543 38316\n52397 78527\n59527 89299\n30691 46053\n46968 70402\n26767 40144\n21078 31684\n30312 45456\n14642 22022\n85009 100000\n84454 100000\n81980 100000\n97607 100000\n79811 100000\n41613 62416\n67458 100000\n92886 100000\n34303 51434\n60457 90702\n75446 100000\n69227 100000\n649 991\n83099 100000\n53849 80708\n76965 100000\n77579 100000\n91952 100000\n78284 100000\n88489 100000\n96931 100000\n36861 55275\n54724 82041\n44878 67308\n3957 5952\n11389 17093\n67732 100000\n12401 18610\n37586 56356\n12606 18915\n97175 100000\n19948 29990\n62338 93525\n37145 55693\n75156 100000\n45121 67672\n22025 33080\n45456 68172\n39771 59634\n58149 87214\n59308 88957\n21359 32103\n20061 30159\n45164 67738\n48745 73066\n23006 34518\n2113 3170\n93684 100000\n96564 100000\n91139 100000\n44256 66375\n62305 93468\n58731 88090\n72064 100000\n28836 43253\n24219 36343\n25201 37822\n72544 100000\n4347 6545\n26100 39162\n53064 79532\n56652 84968\n40790 61177\n36499 54725\n9838 14762\n79447 100000\n4010 6023\n33601 50384\n98715 100000\n59178 88762\n42748 64116\n71915 100000\n77210 100000\n40936 61393\n61511 92268\n49523 74229\n47575 71297\n27338 40979\n70415 100000\n13751 20670\n55735 83589\n83043 100000\n70051 100000\n78037 100000\n476 728\n82151 100000\n52118 78112\n15280 22995\n60780 91179\n3707 5583\n55980 83950\n48321 72409\n30869 46326\n26967 40427\n99643 100000\n62315 93486\n72076 100000\n79994 100000\n7579 11392\n14298 21497\n86247 100000\n34546 51811\n87854 100000\n38980 58435\n57371 86053\n33851 50766\n79850 100000\n1865 2809\n95919 100000\n35079 52613\n57843 86743\n44571 66844\n84698 100000\n21644 32518\n78812 100000\n73355 100000\n33276 49899\n28544 42808\n37287 55910\n87922 100000\n80930 100000\n25315 37985\n52786 79111\n33955 50920\n78704 100000\n22340 33533\n94103 100000\n38665 57978\n21280 31985\n53495 80181\n46218 69295\n32178 48274\n81937 100000\n62232 93358\n25383 38085\n17879 26860\n54725 82043\n99943 100000\n61001 91513\n10399 15604\n30191 45279\n85770 100000\n54200 81234\n73282 100000\n92809 100000\n21183 31837\n74522 100000\n96254 100000\n90768 100000\n50306 75412\n50731 76056\n70802 100000\n26973 40435\n49311 73907\n32926 49386\n23861 35802\n94417 100000\n61759 92639\n31294 46957\n70660 100000\n92279 100000\n21061 31658\n67712 100000\n59274 88908\n59671 89524\n50754 76092\n8805 13212\n91807 100000\n47824 71666\n72013 100000\n49519 74222\n4746 7144\n60871 91316\n5305 7977\n11025 16544\n2923 4410\n16508 24827\n68126 100000\n36819 55218\n65929 98907\n94781 100000\n70730 100000\n28711 43062\n70001 100000\n35286 52913\n30170 45246\n87633 100000\n18945 28491\n90283 100000\n11239 16862\n37561 56316\n67046 100000\n47263 70848\n94389 100000\n63732 95569\n70374 100000\n91923 100000\n95382 100000\n46251 69346\n70664 100000\n90820 100000\n58584 87868\n34484 51717\n32659 48986\n68203 100000\n92373 100000\n14938 22472\n76300 100000\n67039 100000\n46340 69477\n6562 9869\n80141 100000\n73236 100000\n15969 24010\n67561 100000\n60417 90640\n71707 100000\n70942 100000\n95640 100000\n91465 100000\n19180 28836\n15809 23777\n35274 52894\n92069 100000\n51216 76784\n34450 51665\n9060 13582\n22777 34181\n1279 1939\n21625 32491\n42047 63072\n55423 83108\n77999 100000\n35624 53410\n79974 100000\n6294 9480\n71583 100000\n56732 85080\n34828 52235\n82365 100000\n82658 100000\n68520 100000\n86411 100000\n55010 82486\n19203 28870\n33366 50030\n94822 100000\n14772 22224\n58073 87099\n72130 100000\n76582 100000\n77086 100000\n74141 100000\n14514 21818\n90621 100000\n12544 18821\n33422 50117\n29575 44346\n2177 3272\n39433 59124\n99441 100000\n29907 44845\n90986 100000\n14323 21534\n73696 100000\n28769 43156\n70694 100000\n84890 100000\n78787 100000\n76088 100000\n44364 66537\n57624 86427\n27200 40774\n44967 67433\n5892 8858\n66290 99454\n34131 51177\n32 49\n31567 47365\n7433 11167\n55241 82837\n52574 78790\n47821 71662\n23092 34660\n46861 70238\n95377 100000\n40058 60064\n82683 100000\n18096 27185\n15820 23790\n9367 14055\n95257 100000\n21568 32416\n52185 78211\n18746 28188\n77851 100000\n93993 100000\n23543 35322\n24435 36670\n81131 100000\n7287 10955\n59473 89215\n42569 63848\n29958 44925\n55026 82512\n19078 28685\n84087 100000\n51471 77143\n14672 22069\n77915 100000\n84240 100000\n27513 41259\n26379 39575\n1060 1601\n64887 97315\n47751 71563\n92434 100000\n25101 37673\n83332 100000\n88616 100000\n68162 100000\n41036 61544\n86168 100000\n65156 97726\n55322 82962\n63531 95276\n83729 100000\n26526 39794\n91674 100000\n72996 100000\n38448 57658\n46812 70167\n91813 100000\n93667 100000\n41777 62672\n29420 44126\n16458 24748\n74684 100000\n60919 91393\n76461 100000\n57474 86204\n797 1212\n97082 100000\n78644 100000\n42944 64405\n70114 100000\n10926 16391\n59818 89753\n21741 32659\n20306 30526\n78369 100000\n12297 18453\n32249 48386\n3012 4546\n81767 100000\n43699 65548\n55161 82720\n80869 100000\n3520 5302\n39113 58628\n41859 62800\n88134 100000\n63467 95183\n68818 100000\n568 870\n69772 100000\n48672 72948\n63456 95168\n13360 20065\n23547 35329\n37115 55649\n94207 100000\n67663 100000\n35301 52934\n10891 16340\n94096 100000\n73677 100000\n43337 65009\n78937 100000\n30745 46135\n9850 14780\n60991 91499\n61054 91591\n69796 100000\n80510 100000\n40722 61067\n55371 83034\n74665 100000\n72786 100000\n16136 24257\n27716 41561\n30239 45350\n10830 16246\n36885 55306\n81942 100000\n17354 26087\n17998 27039\n65288 97925\n7004 10530\n6608 9940\n46358 69501\n96891 100000\n6375 9608\n54964 82406\n48450 72607\n9200 13796\n91906 100000\n37165 55723\n18687 28091\n70627 100000\n2206 3314\n3891 5855\n46201 69271\n24970 37468\n9213 13817\n12174 18275\n84579 100000\n25963 38952\n83470 100000\n60215 90335\n26213 39327\n35383 53057\n40546 60802\n57627 86431\n51000 76455\n50671 75964\n83206 100000\n73509 100000\n32049 48087\n58816 88216\n82546 100000\n70498 100000\n11240 16864\n24971 37470\n81137 100000\n41837 62764\n81930 100000\n3731 5621\n59634 89467\n77609 100000\n62830 94263\n3156 4761\n70923 100000\n34349 51507\n4990 7507\n62046 93076\n50506 75717\n54214 81256\n23263 34911\n53826 80673\n7990 12000\n88762 100000\n33168 49739\n97790 100000\n66626 99950\n21388 32146\n71213 100000\n25398 38107\n78377 100000\n20497 30806\n76021 100000\n2950 4454\n67892 100000\n65150 97717\n81525 100000\n38577 57850\n85274 100000\n30428 45645\n77069 100000\n26009 39020\n44263 66386\n75880 100000\n67546 100000\n40565 60832\n9025 13533\n8206 12322\n96484 100000\n7489 11253\n77694 100000\n98653 100000\n40460 60671\n51820 77665\n93638 100000\n5607 8430\n91887 100000\n34105 51137\n15767 23713\n63802 95673\n70540 100000\n64988 97477\n22349 33547\n89647 100000\n51215 76782\n63610 95397\n18974 28533\n61131 91705\n55329 82970\n95288 100000\n59440 89161\n85055 100000\n53467 80142\n50093 75084\n64587 96867\n76316 100000\n15218 22893\n99553 100000\n13066 19618\n7805 11722\n95164 100000\n29424 44131\n53299 79895\n74139 100000\n36739 55095\n29159 43729\n75598 100000\n17317 26033\n36905 55340\n98787 100000\n41298 61947\n22529 33813\n56094 84129\n77316 100000\n2440 3672\n46392 69550\n55457 83164\n79771 100000\n86773 100000\n53145 79650\n23171 34776\n79662 100000\n94560 100000\n43024 64523\n64799 97186\n77027 100000\n36384 54557\n19563 29416\n62197 93300\n82896 100000\n1493 2259\n41922 62892\n39845 59741\n37608 56394\n61059 91598\n64959 97431\n57962 86925\n66425 99653\n61146 91725\n25072 37630\n11990 17995\n52563 78774\n4956 7458\n50272 75362\n13420 20159\n99723 100000\n35971 53931\n5090 7658\n94858 100000\n37752 56607\n4875 7332\n55527 83274\n67045 100000\n4322 6506\n2417 3634\n59537 89314\n70064 100000\n47141 70664\n25457 38197\n42294 63440\n43848 65764\n14072 21162\n34134 51182\n17648 26515\n78307 100000\n56551 84819\n60043 90090\n83152 100000\n37433 56125\n50299 75402\n47084 70578\n52781 79103\n14716 22141\n93634 100000\n79694 100000\n95686 100000\n27165 40725\n13137 19724\n64080 96101\n86688 100000\n43634 65449\n24676 37019\n51603 77335\n7711 11582\n70300 100000\n62729 94106\n57290 85926\n53099 79582\n41234 61847\n60887 91343\n61916 92883\n60653 90984\n86077 100000\n99965 100000\n98332 100000\n4853 7298\n61950 92938\n34898 52349\n82576 100000\n90152 100000\n74632 100000\n92509 100000\n71182 100000\n26808 40204\n34992 52483\n85016 100000\n20042 30132\n33933 50884\n53294 79886\n58794 88186\n74040 100000\n75655 100000\n65722 98588\n93429 100000\n79250 100000\n22692 34060\n81598 100000\n71963 100000\n92197 100000\n87884 100000\n54106 81093\n41392 62086\n18873 28383\n50018 74974\n98484 100000\n36019 54002\n78138 100000\n93670 100000\n94596 100000\n68632 100000\n59387 89076\n89256 100000\n17921 26926\n85611 100000\n82684 100000\n29585 44360\n91899 100000\n17610 26459\n65015 97511\n40039 60033\n8950 13425\n28590 42876\n90913 100000\n57113 85653\n31136 46727\n48446 72601\n32363 48557\n72246 100000\n99659 100000\n28705 43052\n59686 89548\n6067 9127\n57853 86759\n49839 74719\n73520 100000\n47430 71085\n1069 1616\n74537 100000\n19188 28848\n37531 56269\n49351 73967\n73949 100000\n46585 69833\n12782 19179\n27524 41274\n34435 51639\n59118 88669\n30384 45572\n26367 39559\n47764 71579\n60355 90548\n44381 66563\n90806 100000\n75584 100000\n97388 100000\n85324 100000\n24530 36805\n79740 100000\n99469 100000\n18818 28299\n33425 50123\n94636 100000\n70296 100000\n91675 100000\n42042 63064\n11593 17400\n60120 90205\n89912 100000\n35081 52615\n95341 100000\n82006 100000\n35765 53618\n30 46\n91701 100000\n30185 45270\n11083 16634\n56712 85055\n288 442\n12683 19037\n56193 84274\n5989 9001\n64023 96016\n17915 26916\n93744 100000\n28815 43223\n11222 16839\n6795 10215\n91408 100000\n31870 47817\n91882 100000\n78112 100000\n26822 40222\n97628 100000\n53267 79841\n91377 100000\n84436 100000\n88016 100000\n42471 63703\n12319 18485\n43636 65453\n92646 100000\n21813 32774\n49032 73492\n85724 100000\n56045 84052\n53510 80206\n21609 32469\n579 890\n1342 2034\n74064 100000\n69664 100000\n43921 65875\n50693 75995\n92053 100000\n12151 18238\n41315 61975\n7427 11159\n51397 77044\n24343 36533\n59645 89484\n12635 18959\n51091 76593\n58631 87940\n90805 100000\n92166 100000\n47196 70746\n17864 26839\n20085 30192\n41089 61625\n15262 22965\n51352 76977\n80263 100000\n86194 100000\n3122 4709\n43734 65602\n33714 50553\n82149 100000\n75186 100000\n84892 100000\n8943 13415\n25998 39002\n73080 100000\n33173 49746\n65474 98210\n43856 65773\n23637 35463\n26680 40020\n4074 6127\n91027 100000\n79689 100000\n91725 100000\n82366 100000\n15985 24033\n91722 100000\n72115 100000\n36493 54715\n51130 76653\n87287 100000\n83991 100000\n12934 19414\n51720 77509\n21688 32576\n77247 100000\n241 371\n83093 100000\n67259 100000\n61846 92779\n56913 85352\n23119 34697\n37263 55877\n25997 39000\n68231 100000\n83539 100000\n28790 43184\n92309 100000\n54390 81534\n72608 100000\n1916 2881\n36927 55370\n26572 39865\n47549 71258\n14177 21319\n95914 100000\n43056 64572\n33014 49512\n93076 100000\n77303 100000\n51672 77438\n54291 81373\n23397 35111\n53361 79987\n45519 68269\n44447 66659\n35452 53164\n28655 42978\n17203 25856\n14002 21051\n11001 16506\n84554 100000\n26146 39230\n57831 86729\n73966 100000\n32961 49436\n6863 10315\n29898 44834\n58236 87345\n13013 19540\n17070 25646\n28572 42850\n40419 60608\n99472 100000\n76970 100000\n12048 18089\n29155 43723\n89274 100000\n83210 100000\n23651 35484\n26326 39500\n6042 9088\n19276 28975\n17058 25627\n30417 45625\n73024 100000\n71319 100000\n24273 36425\n46327 69459\n9366 14053\n1014 1534\n98481 100000\n29859 44774\n68934 100000\n99606 100000\n73272 100000\n18349 27566\n62144 93213\n71348 100000\n15193 22859\n60102 90182\n66809 100000\n39996 59967\n77299 100000\n8995 13490\n62403 93621\n5501 8266\n54440 81613\n82956 100000\n33395 50073\n48483 72660\n34035 51034\n1751 2638\n95356 100000\n32349 48535\n90952 100000\n70485 100000\n39099 58607\n33949 50909\n73575 100000\n15270 22980\n56720 85066\n92125 100000\n30937 46433\n78166 100000\n31172 46784\n57513 86261\n91833 100000\n26251 39387\n12413 18628\n44639 66947\n1150 1740\n37234 55830\n57177 85749\n38970 58419\n20683 31084\n70552 100000\n72678 100000\n7963 11961\n42525 63783\n39472 59179\n73963 100000\n3034 4579\n11014 16527\n99385 100000\n55917 83854\n36841 55246\n58464 87702\n92801 100000\n77917 100000\n6217 9362\n78849 100000\n57330 85987\n95447 100000\n50274 75366\n26741 40101\n89651 100000\n29038 43555\n19308 29022\n18571 27909\n44869 67291\n86394 100000\n71873 100000\n1836 2762\n34462 51684\n29082 43613\n67486 100000\n41189 61775\n70917 100000\n31195 46821\n48057 72013\n16702 25115\n91904 100000\n28438 42649\n3361 5073\n47223 70784\n23483 35234\n13712 20611\n60131 90222\n99121 100000\n28107 42152\n12560 18845\n20457 30745\n41294 61941\n22633 33974\n43363 65045\n12145 18229\n28884 43326\n35056 52575\n1839 2767\n46026 69016\n48015 71953\n55892 83820\n87811 100000\n46222 69301\n3187 4809\n82305 100000\n64420 96615\n54911 82327\n32899 49344\n77047 100000\n84147 100000\n56799 85182\n3543 5339\n50600 75853\n44717 67066\n74181 100000\n16569 24914\n74110 100000\n41492 62236\n69272 100000\n43503 65258\n5646 8486\n90716 100000\n16397 24653\n35162 52738\n82206 100000\n25657 38484\n37003 55484\n52419 78562\n7392 11110\n20930 31464\n1486 2250\n39236 58823\n27968 41948\n3489 5261\n32959 49434\n90976 100000\n76534 100000\n81065 100000\n56964 85432\n26005 39014\n84652 100000\n31284 46942\n58268 87396\n50095 75086\n45764 68630\n54125 81125\n71248 100000\n31508 47273\n74215 100000\n85366 100000\n58171 87246\n14682 22084\n13763 20686\n39862 59767\n50501 75711\n78861 100000\n7164 10772\n20319 30544\n34430 51631\n54986 82444\n83811 100000\n98649 100000\n62277 93423\n413 633\n6439 9696\n79860 100000\n25756 38635\n27180 40745\n62631 93962\n26320 39490\n63955 95905\n73105 100000\n88121 100000\n46667 69957\n48704 73000\n39297 58918\n61554 92332\n46668 69958\n21891 32884\n82028 100000\n89422 100000\n24281 36439\n66631 99957\n41218 61822\n72085 100000\n15379 23140\n12863 19305\n47323 70935\n81224 100000\n71818 100000\n55663 83481\n15042 22630\n53979 80906\n29161 43733\n55737 83593\n17462 26243\n95285 100000\n89701 100000\n91932 100000\n9035 13546\n34691 52031\n59450 89176\n17405 26161\n7745 11636\n47325 70938\n15852 23836\n16268 24458\n15717 23641\n76708 100000\n3312 4999\n59908 89887\n8094 12153\n12441 18670\n67776 100000\n5339 8029\n24911 37375\n74234 100000\n67263 100000\n59432 89145\n19189 28850\n1123 1696\n19099 28715\n4901 7369\n83879 100000\n13268 19923\n91818 100000\n84774 100000\n58939 88402\n33986 50962\n72203 100000\n3626 5459\n73207 100000\n32806 49209\n76641 100000\n41037 61546\n21140 31773\n78711 100000\n13546 20353\n27504 41247\n19798 29768\n51729 77524\n92621 100000\n87436 100000\n96936 100000\n82853 100000\n18171 27301\n69364 100000\n52105 78093\n53355 79979\n41464 62193\n31296 46961\n76060 100000\n33397 50077\n75664 100000\n28840 43260\n99025 100000\n72819 100000\n10091 15145\n1744 2626\n23028 34554\n2617 3944\n79922 100000\n81220 100000\n82775 100000\n88295 100000\n18130 27236\n64965 97440\n35722 53555\n46173 69234\n27880 41814\n28703 43048\n68492 100000\n4102 6173\n65251 97868\n88996 100000\n39094 58601\n30227 45331\n1043 1575\n91936 100000\n70922 100000\n32150 48238\n6242 9398\n11511 17276\n49016 73467\n39512 59244\n90197 100000\n6637 9988\n70520 100000\n55680 83507\n47335 70954\n17371 26114\n43670 65505\n67897 100000\n5017 7544\n94950 100000\n88007 100000\n59737 89631\n97979 100000\n27886 41826\n49243 73802\n6961 10464\n65408 98116\n3561 5364\n31853 47793\n93341 100000\n2052 3085\n6579 9896\n53815 80654\n44868 67290\n76704 100000\n36745 55105\n62884 94339\n29638 44442\n62434 93669\n56032 84033\n63916 95854\n26414 39627\n61542 92313\n72536 100000\n75059 100000\n46601 69859\n3669 5528\n43407 65113\n24800 37211\n20359 30607\n22048 33112\n2306 3466\n95070 100000\n71240 100000\n60778 91176\n5472 8224\n15453 23254\n29098 43636\n72054 100000\n95477 100000\n63438 95142\n80421 100000\n11012 16523\n67107 100000\n80044 100000\n47641 71398\n61910 92874\n60294 90455\n27832 41741\n52575 78792\n48239 72284\n30925 46415\n7464 11215\n76615 100000\n41835 62761\n9106 13649\n88703 100000\n71163 100000\n8735 13106\n11013 16525\n89562 100000\n64506 96741\n1220 1849\n12732 19106\n71766 100000\n75358 100000\n92426 100000\n81193 100000\n70816 100000\n98831 100000\n88540 100000\n18553 27881\n92790 100000\n64197 96283\n33573 50345\n44466 66684\n47716 71509\n16336 24560\n39147 58677\n10435 15663\n35069 52597\n90414 100000\n108 167\n76644 100000\n94369 100000\n85211 100000\n89499 100000\n85981 100000\n96739 100000\n87740 100000\n95239 100000\n55910 83847\n92214 100000\n97383 100000\n52882 79257\n49469 74143\n32998 49490\n96766 100000\n41163 61735\n5576 8384\n5190 7806\n89960 100000\n60450 90692\n70878 100000\n67536 100000\n53859 80723\n76390 100000\n50648 75932\n40758 61123\n71612 100000\n75695 100000\n95842 100000\n55909 83846\n62058 93094\n38180 57257\n23976 35984\n86215 100000\n92994 100000\n88279 100000\n22459 33712\n84841 100000\n86256 100000\n92468 100000\n54037 80990\n73635 100000\n31889 47847\n81663 100000\n48336 72433\n72965 100000\n72213 100000\n94030 100000\n83683 100000\n17289 25989\n89980 100000\n60127 90216\n32117 48192\n32284 48434\n51801 77634\n89145 100000\n38193 57276\n17528 26339\n88184 100000\n9620 14435\n17720 26623\n31267 46919\n39903 59827\n83526 100000\n93996 100000\n52666 78934\n10530 15794\n60320 90494\n5982 8991\n36431 54624\n78077 100000\n57934 86882\n79109 100000\n21653 32529\n20165 30315\n45264 67891\n23147 34742\n45837 68738\n40761 61129\n25887 38840\n92063 100000\n77228 100000\n43703 65555\n30219 45320\n70489 100000\n62080 93123\n87317 100000\n43343 65018\n4230 6368\n87960 100000\n3531 5321\n30180 45263\n3368 5084\n81236 100000\n97642 100000\n72960 100000\n9896 14857\n71630 100000\n58754 88127\n83745 100000\n18733 28166\n89008 100000\n99708 100000\n32729 49097\n86431 100000\n85029 100000\n59337 89000\n34951 52420\n29804 44695\n68088 100000\n41575 62359\n61695 92543\n92699 100000\n63333 94989\n33521 50263\n22168 33292\n98915 100000\n81238 100000\n24167 36269\n1095 1653\n74608 100000\n2450 3689\n59592 89400\n31963 47956\n99868 100000\n50882 76281\n52529 78723\n56217 84312\n69731 100000\n33280 49904\n55348 83000\n49940 74860\n29258 43880\n43513 65272\n39576 59345\n31568 47367\n44161 66233\n80529 100000\n78721 100000\n53366 79994\n36406 54590\n724 1102\n93440 100000\n17815 26769\n9269 13904\n42221 63337\n98090 100000\n34861 52292\n13849 20818\n10350 15531\n5210 7835\n6466 9732\n49917 74829\n82155 100000\n79291 100000\n6027 9060\n14395 21641\n2423 3643\n58562 87835\n58368 87554\n53021 79465\n76268 100000\n47547 71255\n73397 100000\n18163 27289\n57049 85557\n51077 76572\n41811 62723\n38194 57277\n46531 69756\n68102 100000\n74918 100000\n57015 85511\n38766 58130\n90274 100000\n33121 49667\n6602 9930\n50772 76115\n41767 62655\n9276 13913\n5025 7555\n96818 100000\n84208 100000\n7944 11937\n91086 100000\n13394 20117\n33677 50499\n23000 34510\n15709 23631\n63103 94668\n7871 11824\n83516 100000\n96033 100000\n76049 100000\n95879 100000\n59882 89846\n93885 100000\n41522 62281\n23326 35002\n28089 42126\n85317 100000\n73834 100000\n32201 48310\n53619 80365\n90765 100000\n80576 100000\n5751 8640\n30059 45072\n59217 88820\n9772 14664\n84139 100000\n45663 68485\n12802 19211\n10381 15577\n63926 95867\n40294 60418\n14097 21200\n90580 100000\n57325 85981\n4061 6107\n70904 100000\n41085 61619\n19980 30039\n87291 100000\n84671 100000\n28588 42873\n67541 100000\n80740 100000\n85378 100000\n2032 3052\n3111 4692\n66333 99516\n5670 8521\n4183 6298\n19034 28620\n19441 29229\n87320 100000\n6528 9821\n99311 100000\n13154 19756\n1164 1762\n749 1144\n61217 91833\n51968 77887\n49075 73554\n95232 100000\n30596 45905\n32062 48109\n26601 39908\n11303 16967\n6609 9941\n20762 31206\n69670 100000\n24930 37406\n38929 58362\n2383 3584\n81841 100000\n5171 7773\n71899 100000\n7715 11589\n24781 37181\n3983 5986\n63835 95726\n27987 41972\n24782 37183\n59990 90011\n84934 100000\n67301 100000\n91241 100000\n69451 100000\n5051 7597\n84750 100000\n98552 100000\n33657 50471\n89448 100000\n71981 100000\n42051 63076\n67868 100000\n9801 14708\n71562 100000\n60454 90698\n46570 69812\n98893 100000\n40648 60957\n40781 61164\n73098 100000\n3491 5264\n49265 73833\n34798 52193\n86667 100000\n25722 38583\n45781 68652\n23751 35634\n13450 20208\n89104 100000\n22006 33052\n69800 100000\n36962 55421\n96613 100000\n49603 74352\n50716 76032\n97668 100000\n36233 54322\n12608 18917\n19431 29216\n76453 100000\n72303 100000\n87977 100000\n5450 8193\n24478 36733\n91743 100000\n25424 38147\n75835 100000\n47279 70873\n51722 77513\n21591 32448\n12879 19328\n48993 73434\n57873 86789\n41269 61903\n19139 28779\n13482 20254\n11591 17397\n86120 100000\n42093 63135\n71325 100000\n60868 91312\n57188 85764\n3175 4792\n70160 100000\n53514 80212\n95109 100000\n65872 98819\n46957 70383\n50914 76332\n19942 29982\n67462 100000\n35533 53279\n96357 100000\n80430 100000\n64294 96431\n5331 8014\n10204 15315\n83412 100000\n35967 53925\n71241 100000\n24338 36526\n20526 30845\n6753 10154\n90411 100000\n24633 36954\n58604 87897\n78591 100000\n33320 49964\n69293 100000\n230 353\n10826 16239\n73867 100000\n38623 57913\n13041 19580\n2064 3103\n89359 100000\n10184 15286\n78264 100000\n85393 100000\n52089 78072\n93286 100000\n60306 90471\n92286 100000\n12105 18169\n25200 37820\n88969 100000\n80288 100000\n21088 31698\n88005 100000\n19839 29826\n37679 56500\n14288 21481\n20713 31132\n88340 100000\n10726 16086\n25078 37639\n84174 100000\n29566 44333\n26154 39240\n83673 100000\n2181 3279\n52816 79157\n48046 71994\n94741 100000\n92044 100000\n49151 73671\n16736 25163\n84001 100000\n67397 100000\n73369 100000\n26574 39868\n72327 100000\n20511 30824\n4817 7250\n71615 100000\n320 489\n38613 57901\n58289 87431\n54705 82011\n37065 55576\n12558 18841\n60974 91472\n98296 100000\n84355 100000\n83549 100000\n36164 54214\n93969 100000\n25902 38862\n62252 93387\n23353 35045\n64297 96435\n23206 34828\n63164 94749\n74210 100000\n2621 3949\n8948 13423\n69475 100000\n53029 79478\n76743 100000\n39041 58527\n16145 24274\n45677 68506\n92501 100000\n47970 71887\n52965 79380\n87591 100000\n95867 100000\n20442 30722\n27708 41547\n48060 72018\n37875 56791\n53559 80275\n77296 100000\n91161 100000\n37554 56305\n91176 100000\n70187 100000\n25530 38297\n30468 45706\n18308 27506\n78325 100000\n83555 100000\n61166 91759\n98747 100000\n28976 43465\n36487 54708\n35510 53245\n1055 1593\n97087 100000\n66120 99200\n84944 100000\n13793 20730\n39799 59672\n47514 71202\n61538 92306\n37353 56005\n44563 66831\n73535 100000\n87939 100000\n97676 100000\n70875 100000\n49266 73834\n24252 36390\n72289 100000\n58381 87575\n57536 86295\n41713 62571\n48957 73379\n2033 3054\n31710 47580\n45224 67830\n84530 100000\n83664 100000\n45943 68889\n76854 100000\n4095 6160\n58514 87768\n24265 36412\n13138 19725\n76062 100000\n68767 100000\n30864 46318\n60110 90193\n82407 100000\n14346 21571\n72051 100000\n25342 38025\n77502 100000\n62916 94384\n18700 28115\n9916 14889\n69821 100000\n19359 29106\n7438 11175\n55057 82560\n70417 100000\n75151 100000\n66651 99985\n82230 100000\n46186 69252\n63613 95401\n6363 9588\n33807 50703\n49102 73597\n36312 54445\n64500 96733\n16425 24697\n2273 3416\n85945 100000\n1236 1873\n40351 60504\n64370 96542\n26032 39055\n5702 8570\n26193 39294\n37118 55654\n17475 26262\n34780 52163\n44609 66903\n13140 19729\n26659 39993\n14515 21819\n29783 44658\n5854 8803\n88543 100000\n46757 70090\n40243 60345\n84588 100000\n18113 27213\n69953 100000\n76848 100000\n4217 6346\n80689 100000\n60224 90348\n92385 100000\n34782 52167\n18986 28552\n31164 46770\n26895 40326\n99700 100000\n62979 94477\n45213 67812\n78304 100000\n8145 12230\n67660 100000\n59704 89576\n64056 96070\n72581 100000\n22395 33615\n27756 41626\n81110 100000\n49315 73913\n21036 31625\n20250 30444\n22483 33748\n84220 100000\n94090 100000\n46362 69506\n27420 41114\n6721 10109\n58997 88486\n64870 97290\n97439 100000\n77361 100000\n492 753\n26478 39722\n15813 23781\n54591 81835\n93543 100000\n21121 31746\n92432 100000\n24623 36938\n59995 90018\n11077 16625\n86090 100000\n80364 100000\n33534 50284\n19254 28943\n42581 63867\n59208 88806\n97809 100000\n66776 100000\n52383 78503\n45155 67723\n49049 73519\n40160 60219\n89725 100000\n74033 100000\n82588 100000\n4983 7496\n10720 16077\n52232 78279\n87335 100000\n21601 32460\n99803 100000\n12810 19222\n84707 100000\n17613 26464\n16764 25202\n82361 100000\n79870 100000\n81107 100000\n95458 100000\n17258 25940\n56136 84188\n97351 100000\n84985 100000\n81952 100000\n99927 100000\n26473 39715\n33475 50195\n26733 40091\n80767 100000\n1536 2325\n33564 50331\n37240 55838\n64136 96191\n70811 100000\n57191 85769\n72228 100000\n86938 100000\n32024 48048\n71696 100000\n59424 89131\n40633 60933\n3892 5857\n75616 100000\n26170 39263\n97051 100000\n31976 47977\n54389 81532\n75984 100000\n88834 100000\n69583 100000\n73019 100000\n39585 59357\n93229 100000\n45605 68401\n65634 98457\n31562 47358\n9292 13941\n7683 11545\n48327 72418\n52099 78085\n11451 17189\n69376 100000\n59454 89182\n67218 100000\n8140 12223\n54933 82360\n47353 70981\n14587 21931\n18865 28372\n40752 61114\n79821 100000\n81785 100000\n85812 100000\n81781 100000\n6788 10204\n63741 95579\n264 405\n11037 16562\n94738 100000\n42895 64332\n70319 100000\n19627 29510\n38498 57735\n69155 100000\n57186 85761\n74717 100000\n33414 50104\n87874 100000\n28477 42712\n54877 82275\n87618 100000\n49347 73961\n21419 32195\n12403 18612\n62776 94180\n95433 100000\n21811 32770\n61471 92214\n3474 5240\n81677 100000\n35954 53904\n57010 85504\n31363 47058\n29796 44679\n82170 100000\n42470 63702\n63612 95400\n60603 90911\n58666 87991\n46917 70322\n17901 26895\n96616 100000\n13521 20317\n47088 70583\n35934 53874\n19640 29528\n86835 100000\n60524 90795\n77562 100000\n90512 100000\n36121 54151\n89760 100000\n62747 94134\n88119 100000\n83731 100000\n28516 42770\n73809 100000\n36115 54142\n87258 100000\n22906 34372\n88107 100000\n50820 76187\n76554 100000\n61838 92766\n27253 40858\n50512 75725\n55397 83072\n57599 86386\n82349 100000\n4085 6146\n59065 88590\n56340 84499\n76867 100000\n28480 42717\n65683 98528\n9247 13871\n35874 53786\n79868 100000\n51675 77443\n57623 86425\n97355 100000\n95159 100000\n35753 53601\n10423 15643\n74128 100000\n20529 30849\n31419 47141\n53210 79757\n35772 53629\n33938 50891\n69910 100000\n4672 7033\n3062 4620\n73759 100000\n76617 100000\n61145 91724\n27289 40911\n3338 5037\n39119 58636\n33704 50537\n17688 26575\n25124 37706\n65449 98174\n20915 31444\n59237 88850\n52656 78916\n5545 8332\n38260 57376\n68805 100000\n33839 50747\n4689 7058\n89134 100000\n41231 61842\n11572 17369\n60293 90453\n67737 100000\n92824 100000\n8152 12241\n41764 62649\n53091 79572\n71597 100000\n32498 48758\n47560 71273\n96088 100000\n21454 32248\n37175 55739\n88347 100000\n99792 100000\n60599 90906\n8544 12814\n15975 24016\n82894 100000\n8210 12328\n29341 44015\n9939 14922\n87914 100000\n97489 100000\n8118 12191\n69655 100000\n90903 100000\n97246 100000\n22735 34119\n59282 88920\n84038 100000\n2768 4174\n78909 100000\n68620 100000\n42591 63881\n26687 40031\n59420 89125\n86650 100000\n41275 61912\n25642 38463\n14526 21838\n6306 9499\n96904 100000\n410 629\n54926 82350\n77412 100000\n48066 72025\n30768 46173\n5274 7927\n90675 100000\n96231 100000\n51732 77529\n472 723\n5930 8912\n8084 12135\n30171 45247\n65519 98278\n32331 48504\n58653 87971\n5044 7585\n22499 33772\n15506 23331\n83246 100000\n55063 82570\n19826 29808\n29559 44325\n39661 59471\n16483 24788\n87791 100000\n55844 83749\n74807 100000\n4930 7416\n40435 60631\n1994 2998\n50526 75745\n11056 16591\n73378 100000\n93795 100000\n82210 100000\n52850 79211\n31089 46659\n45270 67899\n6789 10206\n98570 100000\n14750 22194\n96894 100000\n37199 55775\n16388 24639\n82810 100000\n85260 100000\n30118 45165\n68120 100000\n81021 100000\n86942 100000\n35528 53271\n16729 25154\n36644 54948\n85833 100000\n76748 100000\n33314 49954\n69070 100000\n27759 41630\n68335 100000\n94422 100000\n44946 67405\n96765 100000\n35929 53866\n39688 59515\n63093 94653\n44001 65997\n59351 89023\n51811 77649\n60263 90405\n8051 12085\n23075 34631\n64047 96053\n48178 72195\n41687 62527\n87677 100000\n10486 15735\n55636 83440\n26400 39605\n65978 98979\n14165 21299\n83372 100000\n89948 100000\n7780 11688\n47442 71104\n74459 100000\n49642 74412\n21779 32716\n61182 91782\n39740 59586\n33728 50576\n64682 97013\n28421 42625\n19584 29446\n38591 57868\n70406 100000\n82185 100000\n75520 100000\n28375 42558\n34389 51572\n68963 100000\n93307 100000\n81936 100000\n13632 20488\n56645 84959\n82836 100000\n71005 100000\n60643 90970\n56310 84458\n99568 100000\n48664 72936\n22803 34220\n73267 100000\n66289 99453\n7792 11706\n55483 83205\n61584 92376\n85485 100000\n42788 64173\n79798 100000\n5790 8700\n85125 100000\n43001 64491\n13544 20350\n60945 91430\n61562 92346\n87909 100000\n17590 26429\n20356 30602\n63242 94860\n10431 15656\n46689 69985\n5131 7721\n93037 100000\n34483 51715\n76718 100000\n50273 75364\n95397 100000\n51383 77023\n56726 85073\n22031 33089\n67802 100000\n83529 100000\n27680 41503\n41040 61551\n90081 100000\n74627 100000\n70089 100000\n64855 97266\n84015 100000\n83815 100000\n43350 65029\n76024 100000\n703 1074\n64681 97011\n85387 100000\n2669 4020\n82766 100000\n32376 48574\n76781 100000\n75915 100000\n76807 100000\n75050 100000\n11595 17403\n78601 100000\n55513 83253\n53493 80178\n72846 100000\n2246 3372\n91310 100000\n94664 100000\n35851 53751\n77386 100000\n29491 44230\n39316 58948\n17881 26863\n64623 96923\n26222 39342\n8551 12826\n83339 100000\n68100 100000\n90112 100000\n3053 4607\n47067 70551\n61800 92701\n45484 68220\n32859 49284\n48854 73227\n37770 56636\n9522 14283\n81964 100000\n66469 99723\n47363 70995\n14229 21396\n28643 42961\n55424 83109\n51237 76812\n90249 100000\n11886 17843\n68406 100000\n27642 41448\n54584 81823\n97168 100000\n93446 100000\n2456 3699\n61837 92764\n15983 24029\n14630 22000\n30375 45558\n93304 100000\n26528 39797\n1687 2542\n41032 61537\n82013 100000\n91052 100000\n81604 100000\n4154 6252\n99681 100000\n60358 90553\n68194 100000\n37019 55508\n29740 44594\n48195 72219\n17239 25911\n97869 100000\n38227 57325\n62665 94011\n72260 100000\n23980 35991\n32746 49120\n84126 100000\n26887 40313\n59098 88636\n31656 47500\n19059 28655\n36779 55161\n84626 100000\n44737 67096\n4128 6214\n89480 100000\n52509 78694\n89357 100000\n49614 74367\n43643 65462\n78349 100000\n59364 89041\n186 284\n51023 76491\n90526 100000\n50120 75126\n36335 54481\n46476 69672\n75130 100000\n22152 33266\n41843 62775\n44906 67348\n86428 100000\n2197 3301\n58165 87238\n31310 46985\n3000 4530\n29468 44193\n3763 5670\n81458 100000\n35890 53810\n95548 100000\n76435 100000\n56843 85252\n59074 88604\n78111 100000\n35509 53243\n95137 100000\n38754 58116\n31226 46866\n5221 7850\n71249 100000\n53811 80647\n74774 100000\n88258 100000\n64457 96670\n35740 53582\n99709 100000\n51291 76888\n70416 100000\n34990 52480\n74048 100000\n68324 100000\n17740 26654\n81103 100000\n77693 100000\n23140 34729\n94156 100000\n81378 100000\n6933 10417\n66049 99091\n12118 18189\n94137 100000\n11276 16921\n62082 93126\n90655 100000\n33525 50269\n61277 91919\n73391 100000\n23855 35794\n50249 75327\n17789 26732\n49100 73594\n29519 44272\n41644 62463\n99901 100000\n47537 71239\n36109 54134\n12077 18131\n41578 62364\n94343 100000\n37447 56145\n99885 100000\n42477 63713\n85507 100000\n8817 13230\n50410 75575\n65744 98624\n53096 79578\n88773 100000\n67038 100000\n8783 13176\n76963 100000\n91273 100000\n92211 100000\n11567 17362\n21415 32187\n95776 100000\n88328 100000\n945 1436\n78822 100000\n17546 26366\n81369 100000\n96019 100000\n89300 100000\n2378 3577\n7011 10540\n55991 83969\n24577 36872\n17212 25867\n36847 55255\n53657 80420\n61812 92721\n52280 78351\n62010 93026\n58389 87586\n21864 32849\n42173 63259\n84692 100000\n13551 20360\n82895 100000\n1920 2887\n61252 91881\n87921 100000\n89549 100000\n44860 67276\n18523 27834\n30907 46385\n57098 85629\n79393 100000\n38171 57242\n91509 100000\n42297 63443\n12876 19324\n82301 100000\n69256 100000\n32630 48944\n73385 100000\n3637 5476\n84375 100000\n27425 41122\n16002 24062\n19816 29794\n44810 67201\n51014 76477\n75480 100000\n20805 31274\n24041 36078\n60540 90819\n96566 100000\n29956 44922\n50637 75915\n14280 21470\n18815 28294\n70067 100000\n59223 88829\n68132 100000\n51857 77717\n67925 100000\n54040 80994\n34548 51813\n8621 12935\n59289 88930\n28737 43104\n50680 75978\n695 1061\n53304 79905\n43840 65752\n61495 92246\n26047 39079\n54259 81320\n84193 100000\n93363 100000\n24272 36423\n82485 100000\n18753 28199\n96927 100000\n67876 100000\n54021 80965\n36483 54702\n278 425\n15637 23529\n14239 21410\n88087 100000\n79630 100000\n66969 100000\n79192 100000\n46717 70028\n73259 100000\n62886 94342\n50348 75478\n94128 100000\n65172 97749\n13144 19737\n84697 100000\n78554 100000\n78864 100000\n85160 100000\n96486 100000\n81770 100000\n60726 91093\n18896 28419\n93612 100000\n63552 95305\n80264 100000\n64432 96634\n75641 100000\n77020 100000\n35816 53699\n4238 6378\n55915 83852\n6578 9894\n95817 100000\n30920 46405\n23441 35177\n18137 27246\n18304 27500\n14188 21336\n61887 92841\n49309 73905\n79945 100000\n97758 100000\n69717 100000\n7303 10977\n94196 100000\n73973 100000\n34240 51341\n86597 100000\n39846 59743\n28387 42574\n57199 85781\n94714 100000\n23521 35294\n65374 98065\n26138 39215\n6955 10454\n2224 3342\n67286 100000\n40690 61014\n36548 54796\n30609 45926\n57002 85491\n66859 100000\n7281 10947\n82582 100000\n40717 61058\n70054 100000\n10619 15925\n95202 100000\n8356 12547\n14474 21764\n10391 15594\n67818 100000\n37553 56303\n74270 100000\n18066 27144\n10712 16065\n18564 27900\n1017 1538\n58852 88269\n71490 100000\n68169 100000\n71787 100000\n95847 100000\n19656 29552\n34100 51128\n1707 2569\n13583 20410\n93222 100000\n51599 77329\n93946 100000\n26936 40385\n25047 37584\n4064 6111\n42823 64228\n54921 82344\n36206 54278\n21010 31589\n12206 18329\n88641 100000\n53033 79483\n32393 48600\n84201 100000\n2845 4294\n9685 14532\n82045 100000\n18701 28117\n75870 100000\n4546 6842\n94627 100000\n41850 62785\n39050 58538\n42425 63637\n56811 85202\n18019 27071\n36162 54211\n19512 29338\n29750 44607\n16923 25435\n94731 100000\n29873 44797\n49897 74801\n53007 79444\n54467 81658\n74126 100000\n16321 24541\n15105 22732\n39569 59333\n4965 7469\n5087 7654\n38089 57115\n78960 100000\n77808 100000\n3297 4978\n7974 11975\n54768 82110\n41332 61995\n72524 100000\n26561 39846\n77842 100000\n3167 4778\n3316 5006\n95511 100000\n75829 100000\n53190 79725\n27981 41966\n20548 30874\n19884 29894\n92329 100000\n23471 35218\n68798 100000\n44474 66695\n16212 24376\n91369 100000\n39691 59519\n18465 27740\n75481 100000\n41554 62330\n34827 52234\n94986 100000\n67974 100000\n48334 72430\n83227 100000\n85438 100000\n93062 100000\n86234 100000\n84043 100000\n74227 100000\n7208 10839\n38071 57088\n59053 88571\n77431 100000\n15743 23681\n74875 100000\n94077 100000\n14490 21784\n41616 62421\n96624 100000\n22384 33599\n34236 51335\n64647 96960\n43535 65307\n82757 100000\n1274 1931\n62449 93690\n75119 100000\n40003 59979\n3793 5715\n28629 42937\n17972 26998\n42098 63143\n13851 20821\n41558 62336\n8342 12525\n83153 100000\n2866 4324\n20025 30106\n25851 38785\n42802 64198\n16087 24186\n8629 12949\n24184 36292\n48730 73039\n43032 64535\n82585 100000\n21531 32361\n26948 40401\n85820 100000\n83705 100000\n94589 100000\n22523 33806\n38094 57123\n59903 89878\n65319 97976\n68055 100000\n96303 100000\n62966 94458\n91646 100000\n61763 92646\n50315 75426\n35382 53055\n95567 100000\n60205 90323\n79546 100000\n77178 100000\n38875 58287\n50213 75270\n49624 74381\n98312 100000\n94503 100000\n9749 14630\n82198 100000\n2810 4239\n60435 90669\n58096 87132\n54667 81955\n29824 44724\n22456 33706\n97885 100000\n7409 11133\n83669 100000\n18909 28435\n663 1011\n17265 25949\n81681 100000\n70301 100000\n30042 45047\n63674 95488\n31313 46989\n62628 93958\n40473 60694\n40659 60971\n66782 100000\n39728 59570\n25409 38125\n92727 100000\n52590 78817\n35475 53197\n1158 1751\n73567 100000\n31708 47578\n60244 90376\n705 1077\n49483 74165\n95238 100000\n49088 73573\n31698 47562\n66885 100000\n65102 97646\n374 573\n27012 40494\n89821 100000\n90717 100000\n99745 100000\n24037 36072\n11515 17283\n95092 100000\n79748 100000\n5965 8966\n86175 100000\n75591 100000\n96996 100000\n70731 100000\n49290 73875\n43199 64790\n48873 73256\n93652 100000\n18030 27088\n52941 79345\n23505 35269\n57996 86977\n77285 100000\n52425 78571\n61799 92700\n8928 13395\n18940 28482\n219 336\n93031 100000\n39910 59837\n94384 100000\n81199 100000\n64324 96472\n51472 77144\n16430 24705\n91175 100000\n37895 56820\n14379 21618\n78152 100000\n87851 100000\n81143 100000\n66690 100000\n34774 52156\n62173 93262\n85533 100000\n97623 100000\n49750 74581\n52639 78890\n26946 40399\n32113 48186\n1701 2560\n22703 34076\n50302 75407\n44572 66845\n54054 81018\n1528 2313\n68093 100000\n98998 100000\n9761 14646\n71289 100000\n12117 18187\n48760 73084\n10487 15736\n56302 84446\n96099 100000\n76202 100000\n38600 57882\n28926 43389\n83893 100000\n32401 48611\n63823 95708\n2838 4284\n73729 100000\n30138 45195\n91270 100000\n32343 48524\n27919 41873\n70710 100000\n28870 43304\n84273 100000\n9518 14278\n19646 29537\n2935 4429\n79688 100000\n79182 100000\n19123 28754\n8319 12487\n8017 12035\n69587 100000\n52176 78196\n79919 100000\n51370 77003\n49145 73661\n6820 10251\n47234 70800\n13400 20126\n89793 100000\n31695 47559\n28322 42474\n47944 71847\n75726 100000\n39757 59612\n47925 71817\n99482 100000\n66033 99066\n95219 100000\n5154 7752\n68429 100000\n61347 92029\n59400 89093\n81213 100000\n39089 58594\n56647 84961\n90325 100000\n82736 100000\n35654 53456\n60710 91070\n94135 100000\n32196 48302\n64469 96690\n66622 99944\n41953 62938\n40425 60616\n21318 32044\n80261 100000\n29522 44275\n64371 96543\n97297 100000\n14027 21091\n92826 100000\n88624 100000\n16738 25166\n52688 78964\n25237 37872\n4272 6429\n88389 100000\n82674 100000\n93625 100000\n77374 100000\n20067 30166\n31398 47110\n14691 22099\n41290 61935\n61623 92435\n87145 100000\n72748 100000\n70880 100000\n57145 85699\n89746 100000\n56971 85443\n33417 50109\n54951 82387\n87620 100000\n16448 24730\n95679 100000\n42343 63512\n21245 31934\n39072 58570\n16024 24095\n94353 100000\n36863 55278\n97640 100000\n47123 70634\n47359 70988\n29963 44933\n89682 100000\n81616 100000\n93023 100000\n99101 100000\n81002 100000\n72562 100000\n39552 59306\n29901 44838\n40244 60347\n27328 40966\n15339 23081\n75993 100000\n14498 21794\n63328 94982\n88827 100000\n32820 49228\n80237 100000\n18849 28344\n73944 100000\n14751 22195\n29195 43781\n38433 57634\n51416 77069\n48049 72000\n89624 100000\n12375 18572\n34952 52421\n9697 14550\n20160 30307\n51422 77079\n57093 85621\n2240 3364\n66702 100000\n89225 100000\n58056 87071\n1579 2387\n58331 87498\n18612 27971\n76756 100000\n92658 100000\n69491 100000\n94520 100000\n53458 80129\n13408 20139\n56676 85001\n91079 100000\n67032 100000\n92240 100000\n96506 100000\n39814 59697\n46946 70366\n78407 100000\n40015 59999\n4235 6374\n82173 100000\n66839 100000\n24983 37489\n17163 25792\n82402 100000\n45997 68971\n77055 100000\n15576 23435\n86922 100000\n20752 31189\n35474 53196\n52429 78577\n11677 17529\n89863 100000\n85118 100000\n97700 100000\n73802 100000\n33940 50894\n78610 100000\n32373 48569\n46955 70379\n69005 100000\n95524 100000\n41237 61850\n38878 58292\n81206 100000\n3092 4664\n89003 100000\n521 800\n75047 100000\n5439 8174\n59570 89363\n60798 91205\n91761 100000\n96689 100000\n39672 59488\n95717 100000\n67146 100000\n92020 100000\n55798 83687\n80000 100000\n95941 100000\n43711 65567\n72772 100000\n25041 37574\n73805 100000\n53538 80245\n55110 82642\n49430 74083\n35632 53423\n6872 10329\n18765 28217\n56955 85417\n60848 91282\n30678 46035\n33616 50408\n62092 93139\n87188 100000\n61017 91539\n48890 73280\n87479 100000\n36119 54149\n33987 50963\n2937 4432\n8348 12535\n38436 57639\n19055 28647\n36833 55235\n45928 68867\n93519 100000\n22795 34207\n36814 55211\n40200 60283\n50277 75371\n77244 100000\n51698 77475\n98322 100000\n77835 100000\n112 174\n91959 100000\n92417 100000\n48211 72242\n92389 100000\n72778 100000\n66041 99077\n3030 4573\n25016 37536\n45138 67697\n85524 100000\n37710 56541\n62346 93537\n29982 44959\n35338 52988\n62474 93726\n2581 3893\n29139 43700\n15491 23312\n62756 94149\n41690 62532\n82244 100000\n42408 63610\n74673 100000\n53665 80431\n44766 67138\n13024 19557\n28765 43150\n75026 100000\n91174 100000\n51171 76714\n43945 65912\n11644 17477\n87006 100000\n67056 100000\n44291 66426\n94777 100000\n89231 100000\n39921 59854\n30112 45155\n8235 12364\n17160 25789\n57253 85865\n48706 73004\n37579 56344\n99456 100000\n3602 5422\n68266 100000\n37500 56225\n40776 61157\n83208 100000\n38421 57614\n45389 68079\n90286 100000\n49811 74678\n48312 72396\n35987 53952\n38649 57953\n28440 42652\n99246 100000\n47428 71081\n67063 100000\n12970 19467\n58671 87999\n52934 79334\n95124 100000\n90378 100000\n1198 1813\n54499 81700\n81363 100000\n20523 30839\n96865 100000\n19106 28724\n280 428\n92080 100000\n42871 64298\n28898 43345\n98037 100000\n43616 65423\n45578 68361\n25447 38180\n34215 51304\n36085 54097\n9982 14980\n87224 100000\n65830 98756\n35640 53436\n34221 51313\n21678 32565\n55251 82854\n22453 33702\n82385 100000\n54539 81761\n19138 28777\n38209 57298\n52939 79343\n32810 49214\n38720 58061\n46884 70273\n65290 97929\n53438 80101\n2827 4266\n13203 19834\n62612 93933\n6510 9795\n22463 33719\n2859 4315\n49693 74490\n45945 68893\n66261 99408\n242 372\n43697 65545\n7839 11775\n77534 100000\n26789 40176\n46142 69191\n65655 98489\n67070 100000\n45590 68381\n62982 94482\n62053 93087\n84407 100000\n91356 100000\n2934 4428\n22942 34427\n76925 100000\n78846 100000\n13685 20569\n43640 65458\n49438 74095\n87143 100000\n37784 56659\n12233 18366\n4835 7274\n30045 45052\n22391 33609\n71415 100000\n52750 79057\n53010 79449\n13122 19705\n32084 48144\n83999 100000\n95350 100000\n56529 84785\n26127 39198\n99928 100000\n8144 12229\n41912 62878\n99003 100000\n95249 100000\n13275 19932\n84000 100000\n11908 17879\n9727 14595\n52034 77989\n47968 71883\n97176 100000\n12109 18173\n83248 100000\n83122 100000\n42409 63612\n58305 87458\n51089 76590\n14749 22193\n21542 32375\n93105 100000\n98541 100000\n40303 60433\n23785 35687\n28219 42317\n73753 100000\n25285 37941\n27935 41898\n5663 8512\n28508 42760\n70877 100000\n78551 100000\n44292 66427\n96635 100000\n96221 100000\n52303 78387\n80637 100000\n13787 20723\n49832 74708\n36367 54531\n95787 100000\n56852 85263\n52772 79087\n38124 57167\n10172 15270\n29054 43579\n55494 83223\n49812 74680\n43839 65751\n15604 23477\n32158 48247\n42474 63707\n20607 30967\n5747 8633\n76974 100000\n28279 42409\n85745 100000\n52798 79128\n2592 3909\n10008 15021\n51528 77223\n99204 100000\n38951 58393\n66709 100000\n78329 100000\n21927 32938\n6235 9389\n41004 61495\n16322 24542\n59115 88664\n75274 100000\n19807 29782\n58694 88031\n59482 89230\n74497 100000\n58179 87259\n76572 100000\n36999 55477\n58779 88162\n31988 47997\n17638 26498\n18398 27642\n89132 100000\n90503 100000\n26046 39077\n32207 48319\n66308 99481\n36674 54991\n1577 2384\n85503 100000\n61843 92774\n33908 50849\n96650 100000\n28143 42202\n1725 2597\n89305 100000\n21807 32762\n58641 87955\n64567 96838\n39499 59222\n63131 94706\n96037 100000\n30906 46383\n292 448\n40754 61117\n34523 51774\n74074 100000\n36704 55035\n11536 17315\n21028 31613\n57152 85710\n68440 100000\n95705 100000\n11581 17381\n31863 47806\n72493 100000\n98858 100000\n10160 15248\n70836 100000\n70629 100000\n7301 10974\n80339 100000\n67337 100000\n46243 69333\n37921 56862\n13092 19661\n74495 100000\n7798 11713\n30199 45290\n52314 78403\n26978 40442\n95784 100000\n9194 13786\n70567 100000\n43999 65994\n46565 69807\n97487 100000\n86084 100000\n23399 35114\n77778 100000\n37057 55562\n64939 97401\n39626 59420\n80766 100000\n42844 64258\n19323 29048\n99789 100000\n31608 47428\n28807 43211\n69649 100000\n29077 43606\n43173 64756\n2626 3956\n48087 72059\n59875 89836\n20800 31266\n43653 65477\n56504 84747\n17312 26025\n53940 80848\n90355 100000\n78219 100000\n34235 51334\n70022 100000\n46548 69779\n81331 100000\n58519 87776\n671 1023\n19343 29080\n98683 100000\n58789 88178\n37131 55671\n99400 100000\n50063 75038\n69040 100000\n65541 98314\n95580 100000\n98352 100000\n85517 100000\n66594 99901\n45630 68436\n79251 100000\n36926 55369\n62185 93282\n54250 81306\n48959 73382\n19186 28845\n8897 13349\n23439 35175\n43692 65536\n24412 36637\n60034 90076\n36197 54265\n59651 89494\n85785 100000\n38341 57493\n34348 51505\n55695 83529\n82012 100000\n27100 40627\n51905 77789\n88231 100000\n4617 6951\n37027 55521\n16217 24384\n118 183\n67994 100000\n81104 100000\n15348 23094\n64220 96321\n42007 63012\n49138 73652\n74324 100000\n10129 15205\n40215 60306\n27639 41443\n83423 100000\n67593 100000\n93806 100000\n69027 100000\n51198 76754\n51806 77641\n77555 100000\n70126 100000\n85570 100000\n59104 88646\n48377 72495\n25954 38939\n45952 68903\n88190 100000\n76646 100000\n96975 100000\n4410 6639\n56564 84839\n50195 75244\n59176 88759\n59103 88645\n24589 36890\n85078 100000\n1144 1730\n13516 20309\n77938 100000\n80542 100000\n31099 46673\n3877 5834\n80224 100000\n56714 85057\n30942 46439\n79516 100000\n76614 100000\n50432 75604\n37555 56306\n73657 100000\n91357 100000\n31960 47952\n74990 100000\n16197 24354\n47078 70569\n75920 100000\n44244 66353\n12219 18348\n26043 39071\n3151 4752\n21755 32683\n30586 45893\n43810 65709\n52053 78021\n91447 100000\n68009 100000\n61815 92726\n7879 11834\n43798 65691\n22781 34185\n2778 4191\n25046 37582\n55782 83667\n56463 84689\n70653 100000\n98702 100000\n87999 100000\n13923 20934\n99008 100000\n11405 17117\n83278 100000\n52532 78727\n10014 15031\n94181 100000\n98390 100000\n15587 23452\n27405 41090\n6668 10030\n50961 76397\n95585 100000\n2539 3827\n59214 88816\n82427 100000\n56486 84722\n35335 52984\n75058 100000\n13994 21038\n1050 1586\n23865 35807\n36769 55144\n988 1498\n43539 65313\n85259 100000\n11423 17143\n29492 44231\n84729 100000\n43366 65050\n56934 85384\n82942 100000\n31901 47863\n91055 100000\n68645 100000\n4576 6891\n71674 100000\n55900 83831\n94721 100000\n15308 23034\n98170 100000\n93507 100000\n47236 70802\n38694 58025\n17890 26876\n11136 16714\n93788 100000\n22049 33113\n2158 3241\n22551 33847\n76771 100000\n54279 81353\n56730 85077\n54863 82256\n10949 16423\n8826 13244\n67527 100000\n65438 98157\n1816 2733\n67374 100000\n72138 100000\n81451 100000\n53209 79756\n1099 1658\n85491 100000\n98446 100000\n45820 68711\n74425 100000\n60198 90313\n25635 38451\n25583 38374\n11770 17669\n22873 34325\n84051 100000\n56517 84768\n90486 100000\n85520 100000\n3178 4795\n84461 100000\n74337 100000\n44181 66264\n63106 94673\n5455 8199\n52222 78267\n46706 70011\n65061 97587\n22385 33601\n21386 32144\n12398 18606\n65679 98524\n52043 78004\n89579 100000\n6487 9762\n48311 72395\n61315 91981\n48267 72327\n29835 44737\n36138 54176\n40711 61046\n56787 85165\n11710 17583\n65206 97801\n3596 5414\n92083 100000\n6641 9993\n36018 54001\n21343 32081\n46511 69724\n53650 80408\n81180 100000\n54839 82221\n31277 46934\n49592 74333\n24642 36969\n55301 82933\n3047 4597\n78759 100000\n27898 41842\n8231 12360\n66935 100000\n69298 100000\n83235 100000\n34185 51260\n21475 32284\n96110 100000\n20892 31404\n72437 100000\n55650 83461\n16963 25492\n87754 100000\n97866 100000\n88289 100000\n92231 100000\n38019 57011\n49649 74424\n91894 100000\n9091 13626\n94044 100000\n30166 45240\n49879 74780\n9137 13696\n37320 55958\n12378 18576\n55597 83382\n45803 68686\n284 436\n43639 65457\n59084 88618\n15362 23118\n22111 33208\n23139 34728\n65621 98438\n77759 100000\n28325 42478\n55176 82743\n46033 69029\n91732 100000\n88187 100000\n59271 88904\n21544 32378\n4031 6053\n9990 14994\n40841 61253\n91880 100000\n24150 36242\n42462 63689\n19262 28955\n94014 100000\n27800 41694\n84400 100000\n22139 33249\n80107 100000\n36365 54528\n76677 100000\n86029 100000\n84088 100000\n19758 29707\n91783 100000\n83062 100000\n34002 50985\n99720 100000\n66347 99535\n97633 100000\n3457 5216\n94247 100000\n80779 100000\n60492 90749\n54758 82095\n82530 100000\n10433 15660\n72654 100000\n15919 23936\n92890 100000\n53476 80153\n15570 23427\n55184 82755\n76105 100000\n31869 47816\n73354 100000\n65040 97550\n72531 100000\n25990 38990\n33047 49563\n71931 100000\n65066 97594\n47351 70979\n16319 24539\n73117 100000\n49948 74871\n75328 100000\n41954 62940\n46486 69685\n32005 48021\n69819 100000\n61685 92527\n62561 93859\n13121 19703\n8098 12159\n22901 34366\n81673 100000\n93262 100000\n56604 84898\n81630 100000\n63746 95588\n71168 100000\n88586 100000\n62787 94195\n82841 100000\n55997 83978\n19357 29103\n17539 26356\n57814 86709\n57202 85787\n43365 65049\n32025 48050\n98441 100000\n75162 100000\n35357 53016\n2368 3561\n98479 100000\n24047 36088\n57786 86667\n7156 10763\n85465 100000\n3686 5552\n94116 100000\n90339 100000\n16186 24335\n99461 100000\n83577 100000\n30197 45288\n13046 19589\n25288 37946\n32442 48673\n73610 100000\n85643 100000\n47053 70531\n89037 100000\n4779 7198\n44471 66691\n67212 100000\n31620 47444\n70190 100000\n54519 81731\n89332 100000\n58024 87021\n38692 58022\n26987 40454\n47301 70902\n83566 100000\n55765 83639\n84321 100000\n49859 74747\n88323 100000\n67340 100000\n89046 100000\n68383 100000\n4897 7363\n27167 40729\n46317 69442\n47822 71663\n57884 86806\n91714 100000\n30883 46349\n70323 100000\n9564 14350\n98161 100000\n72639 100000\n8316 12483\n29047 43568\n35960 53913\n27867 41797\n68704 100000\n12574 18866\n91669 100000\n57659 86481\n18738 28175\n57985 86962\n50486 75688\n53900 80788\n95075 100000\n40401 60581\n62263 93402\n23253 34895\n11603 17415\n24249 36385\n61067 91610\n48233 72276\n86932 100000\n7373 11082\n56363 84534\n83720 100000\n32019 48042\n53894 80778\n84266 100000\n16082 24179\n46208 69280\n9425 14134\n6450 9711\n52887 79266\n46872 70255\n40506 60742\n34128 51172\n27413 41104\n35355 53014\n68431 100000\n90958 100000\n15411 23189\n93180 100000\n139 214\n60579 90876\n37214 55796\n46020 69007\n48030 71974\n33841 50751\n13223 19862\n12686 19041\n13676 20554\n15633 23523\n51481 77156\n74460 100000\n41273 61908\n42875 64303\n16265 24454\n74406 100000\n13846 20812\n45512 68259\n27030 40523\n32319 48484\n83702 100000\n92312 100000\n32179 48275\n91074 100000\n80587 100000\n83896 100000\n36851 55260\n80925 100000\n10511 15769\n49623 74380\n19353 29095\n26330 39507\n56915 85355\n66865 100000\n50418 75586\n33880 50813\n69977 100000\n34840 52257\n89685 100000\n65433 98151\n73427 100000\n12973 19472\n56563 84837\n76173 100000\n63762 95611\n51067 76557\n146 223\n57084 85610\n6988 10507\n34676 52007\n39206 58772\n54763 82103\n32072 48123\n79998 100000\n32711 49070\n39442 59137\n88781 100000\n3257 4911\n4570 6881\n69745 100000\n10813 16219\n31379 47082\n75632 100000\n20426 30700\n41574 62358\n21143 31777\n88671 100000\n57221 85815\n10215 15333\n82105 100000\n67242 100000\n85095 100000\n24992 37502\n2711 4084\n30420 45631\n55078 82589\n58057 87073\n58934 88394\n13443 20197\n34817 52221\n82327 100000\n59915 89896\n55099 82626\n27240 40837\n19355 29099\n55820 83714\n94161 100000\n14307 21510\n10882 16327\n69591 100000\n74779 100000\n96082 100000\n64641 96952\n77544 100000\n29049 43571\n89154 100000\n34284 51406\n57471 86201\n99785 100000\n41988 62985\n58219 87318\n13283 19943\n3033 4578\n14680 22081\n90744 100000\n16545 24878\n33589 50368\n45610 68408\n31330 47012\n32956 49430\n49979 74921\n50944 76373\n82277 100000\n99161 100000\n7031 10574\n38553 57816\n30972 46491\n5675 8528\n39591 59365\n98620 100000\n68630 100000\n30207 45303\n62495 93761\n47663 71432\n16889 25383\n24660 36997\n33277 49900\n80387 100000\n18183 27318\n4899 7366\n16381 24629\n67436 100000\n19799 29770\n81054 100000\n96103 100000\n74291 100000\n4483 6746\n14431 21695\n63427 95126\n59792 89711\n7708 11577\n24457 36703\n54284 81362\n2521 3798\n38907 58332\n71235 100000\n46437 69618\n76820 100000\n95310 100000\n63795 95663\n63057 94596\n83140 100000\n49770 74613\n4613 6944\n11728 17603\n66306 99477\n20298 30513\n26419 39634\n20289 30498\n40491 60721\n63023 94545\n8360 12552\n54737 82065\n85172 100000\n58864 88286\n42159 63238\n61819 92732\n66356 99551\n45752 68614\n91015 100000\n50330 75451\n94047 100000\n26382 39579\n11879 17831\n51649 77400\n27712 41554\n87054 100000\n52992 79420\n6850 10297\n6104 9182\n25803 38714\n77521 100000\n51906 77790\n93834 100000\n99541 100000\n91838 100000\n84865 100000\n79155 100000\n51189 76742\n32061 48107\n58314 87471\n75302 100000\n19619 29500\n53177 79705\n9204 13802\n71089 100000\n16020 24088\n711 1085\n79034 100000\n91634 100000\n39502 59227\n94778 100000\n69544 100000\n30184 45269\n41099 61639\n16620 24990\n25431 38158\n33977 50949\n58828 88232\n20671 31063\n21150 31788\n75264 100000\n72276 100000\n85157 100000\n74612 100000\n45433 68140\n23767 35659\n89376 100000\n5282 7940\n6527 9820\n71525 100000\n74519 100000\n88335 100000\n14426 21689\n42847 64262\n50150 75169\n75992 100000\n26758 40129\n99382 100000\n97693 100000\n63014 94530\n29037 43554\n36586 54860\n84837 100000\n79932 100000\n28810 43216\n38450 57662\n45793 68670\n31968 47964\n30553 45842\n40399 60578\n85822 100000\n89072 100000\n66320 99496\n49641 74410\n71549 100000\n21286 31993\n47766 71582\n30608 45925\n25261 37908\n92141 100000\n78659 100000\n76074 100000\n34453 51670\n42589 63879\n53656 80419\n77058 100000\n26476 39719\n92328 100000\n38400 57583\n8656 12987\n2655 3998\n49498 74188\n46046 69051\n27462 41182\n16628 25004\n90907 100000\n79667 100000\n17979 27008\n96885 100000\n97032 100000\n59445 89169\n10566 15846\n57075 85599\n38116 57154\n43554 65335\n10839 16260\n56239 84348\n75364 100000\n9921 14896\n97830 100000\n61622 92433\n50583 75829\n83931 100000\n61273 91913\n84298 100000\n53434 80097\n67269 100000\n47164 70698\n96479 100000\n32261 48403\n15864 23852\n16073 24165\n40227 60321\n36970 55433\n71887 100000\n81489 100000\n20159 30305\n71175 100000\n60022 90056\n88629 100000\n15649 23545\n91840 100000\n90742 100000\n12380 18579\n71361 100000\n82559 100000\n71723 100000\n42342 63510\n18272 27451\n44051 66069\n87350 100000\n73936 100000\n11191 16793\n29126 43679\n61004 91518\n36987 55460\n75425 100000\n97103 100000\n26406 39615\n67529 100000\n37919 56858\n68017 100000\n63946 95892\n17135 25748\n36497 54721\n98035 100000\n35253 52867\n85142 100000\n7551 11349\n33364 50026\n16362 24601\n95457 100000\n18035 27095\n80862 100000\n388 595\n28373 42554\n37334 55977\n48723 73030\n50523 75741\n37378 56044\n78889 100000\n36685 55006\n92865 100000\n81163 100000\n29273 43903\n2453 3694\n47159 70689\n70200 100000\n73687 100000\n68128 100000\n75848 100000\n75931 100000\n59501 89261\n9974 14969\n81382 100000\n65223 97828\n74108 100000\n38109 57144\n75896 100000\n67273 100000\n22580 33893\n3565 5370\n26106 39170\n99665 100000\n13639 20496\n94751 100000\n64359 96525\n16865 25352\n31247 46892\n52019 77967\n90149 100000\n68084 100000\n18087 27174\n12592 18892\n77770 100000\n27319 40954\n85754 100000\n76151 100000\n79438 100000\n72258 100000\n89123 100000\n8862 13299\n42617 63921\n30366 45541\n72266 100000\n96799 100000\n48094 72068\n14182 21329\n85647 100000\n38684 58009\n87011 100000\n89853 100000\n56360 84530\n61163 91754\n39169 58710\n52333 78428\n39810 59691\n86465 100000\n57678 86510\n3784 5702\n42554 63824\n6392 9634\n57520 86272\n73324 100000\n94354 100000\n71646 100000\n53047 79505\n37081 55599\n83283 100000\n48594 72832\n58606 87900\n23696 35551\n76889 100000\n93202 100000\n9617 14430\n35744 53588\n39380 59043\n37368 56028\n91873 100000\n22860 34305\n94857 100000\n3666 5523\n15343 23087\n841 1279\n205 315\n93273 100000\n25948 38930\n7083 10651\n24685 37033\n27499 41240\n25699 38545\n9514 14272\n81226 100000\n10018 15037\n39854 59757\n12033 18062\n84767 100000\n42158 63236\n89774 100000\n14156 21289\n68469 100000\n1774 2670\n92795 100000\n70439 100000\n89913 100000\n76184 100000\n93854 100000\n76450 100000\n81098 100000\n315 482\n89390 100000\n38464 57680\n87274 100000\n37772 56639\n79678 100000\n91068 100000\n99823 100000\n91535 100000\n15595 23465\n89119 100000\n3450 5206\n89880 100000\n87198 100000\n17209 25863\n45563 68339\n71356 100000\n80435 100000\n36625 54920\n31583 47389\n59324 88982\n21497 32314\n27829 41736\n61591 92387\n17065 25639\n86480 100000\n50425 75595\n32009 48027\n52754 79062\n79212 100000\n50687 75988\n93462 100000\n64062 96078\n89467 100000\n63561 95317\n87773 100000\n92962 100000\n90016 100000\n53756 80565\n52512 78699\n6994 10516\n41493 62238\n66719 100000\n6071 9133\n49162 73687\n83649 100000\n72209 100000\n68917 100000\n10236 15365\n51389 77033\n79545 100000\n4415 6646\n24200 36315\n52120 78115\n61567 92353\n73170 100000\n62816 94241\n23461 35205\n93150 100000\n35936 53877\n170 260\n55139 82688\n60280 90432\n30161 45233\n38937 58372\n79559 100000\n38025 57022\n82251 100000\n25930 38905\n15456 23258\n93153 100000\n78465 100000\n42000 63000\n31811 47731\n99370 100000\n54968 82413\n59665 89514\n92337 100000\n5225 7858\n42742 64106\n43596 65394\n76047 100000\n98612 100000\n52806 79141\n37018 55506\n37978 56948\n85318 100000\n12904 19367\n9632 14452\n77649 100000\n99079 100000\n25996 38998\n36755 55122\n15949 23980\n10785 16174\n94807 100000\n83792 100000\n81831 100000\n61409 92119\n37423 56110\n69145 100000\n90942 100000\n56018 84013\n22009 33057\n1690 2546\n34369 51540\n92445 100000\n1002 1519\n70808 100000\n50819 76185\n24752 37137\n35380 53051\n10676 16008\n3573 5383\n19133 28769\n86128 100000\n7648 11494\n42111 63164\n54371 81500\n4667 7025\n40075 60091\n97747 100000\n38479 57703\n81023 100000\n71364 100000\n44184 66269\n66900 100000\n52974 79391\n15567 23423\n52661 78924\n99324 100000\n5085 7651\n24482 36738\n50597 75848\n48124 72112\n60465 90714\n15641 23535\n28461 42687\n11840 17772\n86889 100000\n79091 100000\n3906 5880\n83446 100000\n77827 100000\n32873 49305\n68838 100000\n64652 96967\n82819 100000\n59332 88994\n85985 100000\n62569 93867\n1255 1903\n46521 69740\n50405 75568\n40508 60744\n3123 4710\n18378 27610\n72269 100000\n19038 28626\n13811 20763\n88286 100000\n81858 100000\n2528 3810\n74883 100000\n34714 52064\n55692 83525\n95074 100000\n11114 16684\n45904 68838\n11861 17801\n12251 18392\n60718 91081\n75533 100000\n21596 32454\n93103 100000\n8250 12388\n50163 75192\n20625 30994\n9491 14236\n56211 84303\n57812 86706\n50324 75441\n56436 84648\n77191 100000\n69994 100000\n38455 57668\n78974 100000\n13162 19768\n3811 5739\n44840 67245\n77575 100000\n10750 16123\n85134 100000\n70113 100000\n28230 42334\n88084 100000\n65136 97694\n50230 75296\n73278 100000\n13069 19622\n66198 99313\n80847 100000\n23410 35133\n8884 13329\n27470 41197\n7006 10533\n66423 99650\n13124 19708\n77273 100000\n62819 94246\n44464 66681\n64944 97409\n82331 100000\n10312 15480\n72985 100000\n59576 89373\n99132 100000\n87061 100000\n80189 100000\n58483 87723\n93587 100000\n62928 94401\n59261 88889\n27088 40609\n52075 78054\n39674 59492\n47737 71542\n11850 17788\n26267 39408\n36655 54964\n78063 100000\n43302 64954\n47298 70898\n71373 100000\n32327 48497\n12521 18785\n90639 100000\n84519 100000\n79861 100000\n62291 93446\n8819 13233\n41940 62918\n29943 44903\n12298 18454\n62482 93738\n91059 100000\n43397 65099\n95220 100000\n42989 64473\n88621 100000\n65880 98833\n53732 80528\n76575 100000\n14084 21180\n78358 100000\n86652 100000\n98279 100000\n17441 26213\n91720 100000\n50612 75871\n85757 100000\n20777 31229\n47638 71394\n52262 78323\n86858 100000\n85739 100000\n24490 36749\n51511 77200\n15117 22749\n6300 9488\n90851 100000\n79873 100000\n20959 31507\n77604 100000\n61654 92482\n19770 29726\n89786 100000\n84362 100000\n55230 82821\n94414 100000\n75485 100000\n40527 60771\n89045 100000\n30201 45293\n2821 4258\n95089 100000\n80244 100000\n96119 100000\n14403 21654\n11864 17807\n9806 14717\n31790 47700\n51400 77048\n83898 100000\n57712 86558\n99997 100000\n5504 8270\n76006 100000\n41752 62631\n1821 2738\n59767 89677\n94626 100000\n7942 11935\n44182 66266\n41823 62744\n36259 54362\n43329 64997\n45757 68620\n58870 88294\n42467 63697\n41740 62610\n17799 26747\n16521 24843\n66857 100000\n85064 100000\n31385 47091\n25554 38332\n47936 71834\n66101 99169\n75174 100000\n90072 100000\n80582 100000\n68684 100000\n1272 1928\n54027 80973\n42696 64031\n79308 100000\n24355 36552\n69251 100000\n88426 100000\n91272 100000\n1632 2460\n67455 100000\n71003 100000\n11387 17090\n90150 100000\n25801 38710\n16103 24209\n92581 100000\n364 561\n30667 46016\n60937 91416\n81203 100000\n59190 88780\n94802 100000\n49056 73530\n93033 100000\n95160 100000\n2588 3902\n66113 99191\n28342 42504\n95899 100000\n19558 29408\n10766 16145\n70361 100000\n63903 95833\n60786 91189\n83116 100000\n46719 70030\n56480 84713\n26907 40343\n77073 100000\n92130 100000\n35269 52886\n2746 4141\n32006 48023\n34082 51104\n58599 87888\n30829 46265\n21490 32304\n60851 91286\n23301 34969\n95985 100000\n34420 51616\n29709 44550\n41442 62160\n3431 5178\n6092 9162\n3848 5791\n2807 4234\n31468 47213\n65058 97581\n62975 94471\n63087 94643\n68436 100000\n30376 45559\n17227 25892\n6440 9697\n94109 100000\n23553 35339\n52321 78412\n37136 55679\n51841 77695\n26539 39814\n14405 21656\n68854 100000\n79135 100000\n43475 65218\n1140 1724\n73058 100000\n98387 100000\n69303 100000\n30155 45225\n78467 100000\n31913 47881\n10979 16470\n15201 22871\n93558 100000\n76355 100000\n82055 100000\n84702 100000\n21348 32087\n33458 50168\n70646 100000\n65865 98806\n35015 52520\n53200 79740\n33566 50334\n71986 100000\n19715 29643\n62668 94017\n25691 38531\n1191 1802\n24119 36199\n38286 57416\n47677 71453\n19493 29311\n95802 100000\n32382 48582\n39324 58961\n23859 35800\n72666 100000\n43400 65103\n43685 65525\n85435 100000\n19741 29682\n52246 78298\n23154 34751\n97120 100000\n31717 47592\n92912 100000\n54547 81774\n92668 100000\n97041 100000\n77358 100000\n67627 100000\n74912 100000\n9089 13624\n44846 67255\n76067 100000\n31386 47093\n45051 67568\n62310 93477\n56882 85304\n59832 89771\n33133 49686\n29698 44531\n69160 100000\n74189 100000\n90359 100000\n37741 56590\n45303 67952\n49824 74698\n59770 89682\n24776 37173\n64763 97132\n53048 79506\n23752 35635\n52420 78564\n43538 65311\n91791 100000\n65947 98934\n11008 16517\n7705 11574\n9465 14192\n83476 100000\n73714 100000\n94411 100000\n90656 100000\n96261 100000\n67769 100000\n60436 90671\n73218 100000\n28582 42865\n63367 95040\n83484 100000\n76577 100000\n43702 65553\n72478 100000\n33010 49507\n67241 100000\n94581 100000\n92242 100000\n30333 45487\n53106 79593\n65388 98085\n34501 51742\n99555 100000\n76082 100000\n71332 100000\n48372 72488\n98499 100000\n64985 97472\n34643 51955\n35969 53927\n26351 39535\n7825 11754\n56723 85070\n89969 100000\n9412 14118\n65607 98413\n28022 42024\n56978 85453\n82360 100000\n53135 79636\n1018 1539\n50608 75865\n791 1201\n58625 87930\n61617 92425\n80995 100000\n93361 100000\n81799 100000\n33324 49969\n64684 97017\n41832 62757\n92494 100000\n22822 34250\n57280 85910\n73974 100000\n25708 38562\n27584 41362\n81722 100000\n71114 100000\n57912 86850\n60257 90395\n56052 84062\n85573 100000\n65397 98098\n40946 61407\n68994 100000\n30085 45114\n74718 100000\n76001 100000\n72743 100000\n20153 30297\n779 1186\n90444 100000\n63002 94513\n54502 81704\n19967 30020\n88149 100000\n74027 100000\n512 785\n49900 74806\n93371 100000\n56483 84718\n31095 46668\n58651 87968\n60580 90878\n18457 27728\n81989 100000\n19405 29176\n77263 100000\n94440 100000\n26465 39704\n39811 59692\n8490 12738\n95931 100000\n25364 38055\n93310 100000\n42277 63416\n37720 56556\n33553 50315\n39352 59002\n76085 100000\n46479 69676\n18302 27497\n66761 100000\n44187 66273\n91716 100000\n56084 84111\n56698 85036\n3089 4659\n42481 63718\n42219 63333\n82878 100000\n19459 29257\n29369 44057\n6509 9794\n76430 100000\n79504 100000\n69827 100000\n83458 100000\n94182 100000\n95554 100000\n80809 100000\n67461 100000\n92308 100000\n10849 16276\n5891 8857\n90592 100000\n30729 46110\n79327 100000\n89973 100000\n19265 28961\n81262 100000\n8202 12316\n6729 10121\n11051 16583\n81319 100000\n95197 100000\n93021 100000\n14173 21311\n56200 84286\n35526 53268\n10635 15951\n20705 31119\n28426 42631\n10564 15843\n69444 100000\n36989 55463\n72434 100000\n45048 67563\n64577 96852\n96500 100000\n88344 100000\n70688 100000\n79571 100000\n14805 22275\n57721 86570\n23518 35290\n28341 42502\n52717 79008\n16597 24958\n4910 7384\n98962 100000\n7218 10855\n77686 100000\n78232 100000\n15543 23387\n43094 64631\n12852 19286\n33017 49517\n71071 100000\n71473 100000\n66219 99347\n27577 41352\n89343 100000\n42686 64015\n3809 5737\n25795 38702\n69291 100000\n28475 42709\n24886 37339\n36470 54684\n46111 69142\n93230 100000\n57190 85767\n41093 61630\n63983 95945\n91138 100000\n92427 100000\n34853 52280\n69566 100000\n59609 89426\n76776 100000\n60007 90035\n63190 94784\n61928 92902\n78165 100000\n96036 100000\n92479 100000\n55265 82874\n56765 85130\n4060 6105\n29619 44411\n98316 100000\n918 1396\n13724 20631\n41415 62120\n19571 29429\n83330 100000\n36496 54719\n51617 77356\n78242 100000\n95820 100000\n23459 35201\n5614 8440\n64394 96579\n1694 2551\n24145 36236\n69091 100000\n14115 21227\n77129 100000\n75055 100000\n64146 96207\n75658 100000\n5200 7822\n37233 55829\n6924 10405\n98853 100000\n64012 95996\n66655 99993\n14369 21603\n51938 77840\n48302 72382\n45400 68096\n25594 38388\n60037 90080\n93909 100000\n17855 26828\n67823 100000\n38520 57767\n10403 15609\n70534 100000\n51163 76701\n15817 23787\n78896 100000\n88170 100000\n83817 100000\n20968 31521\n30176 45256\n25919 38889\n78553 100000\n84628 100000\n26033 39056\n34811 52213\n75923 100000\n38923 58356\n39745 59594\n12897 19356\n16773 25213\n10093 15147\n46237 69323\n79608 100000\n55422 83107\n78147 100000\n49692 74488\n27514 41260\n82387 100000\n11372 17064\n10327 15501\n90137 100000\n95693 100000\n34622 51924\n60542 90823\n23011 34525\n80051 100000\n48840 73205\n5939 8927\n35527 53270\n73279 100000\n71678 100000\n45819 68709\n30994 46524\n87421 100000\n44390 66577\n78683 100000\n11534 17312\n52103 78089\n62860 94304\n79509 100000\n16234 24409\n43428 65144\n54908 82322\n39149 58680\n70778 100000\n73618 100000\n6873 10330\n94243 100000\n84737 100000\n63948 95894\n96993 100000\n91947 100000\n19174 28829\n72233 100000\n49094 73584\n8579 12872\n53411 80059\n51373 77008\n40332 60476\n87430 100000\n39176 58721\n86635 100000\n78321 100000\n74182 100000\n97085 100000\n11674 17523\n33581 50357\n70716 100000\n35558 53313\n12291 18446\n82915 100000\n95992 100000\n57842 86742\n11744 17627\n43247 64866\n8209 12326\n98119 100000\n72170 100000\n73109 100000\n36481 54700\n19450 29242\n44965 67430\n51527 77222\n38458 57672\n69540 100000\n96456 100000\n82420 100000\n2818 4253\n30821 46253\n47247 70820\n86113 100000\n87354 100000\n63933 95876\n98618 100000\n4530 6816\n11379 17074\n71838 100000\n24581 36878\n74756 100000\n29842 44750\n76287 100000\n36379 54549\n11295 16954\n83236 100000\n4754 7156\n27187 40756\n73702 100000\n76081 100000\n75956 100000\n84127 100000\n14256 21434\n32094 48157\n46574 69817\n88530 100000\n75335 100000\n68519 100000\n47923 71814\n53825 80671\n55728 83578\n60618 90932\n77720 100000\n67849 100000\n97726 100000\n31151 46748\n77550 100000\n37217 55801\n14686 22090\n4280 6442\n65127 97681\n51547 77253\n36290 54413\n27932 41893\n8866 13303\n65989 98997\n60606 90914\n22672 34032\n20851 31341\n32479 48727\n40875 61302\n78083 100000\n86701 100000\n1413 2137\n61633 92449\n53770 80586\n73836 100000\n21351 32091\n64536 96789\n17300 26008\n99220 100000\n32220 48336\n56617 84915\n18774 28230\n36280 54398\n54478 81671\n69197 100000\n53284 79870\n82316 100000\n63650 95452\n38207 57296\n13265 19919\n23828 35751\n34149 51205\n19875 29881\n25899 38858\n72661 100000\n17191 25837\n48229 72270\n93642 100000\n51368 77000\n46579 69823\n37695 56522\n3694 5563\n17004 25548\n76823 100000\n95782 100000\n32100 48165\n70972 100000\n97521 100000\n63892 95816\n64383 96561\n6935 10420\n50823 76192\n16368 24609\n40305 60436\n50938 76363\n45979 68942\n63319 94966\n56900 85329\n28700 43044\n12781 19178\n19652 29545\n29819 44717\n75619 100000\n20555 30884\n79929 100000\n35496 53224\n10851 16279\n15793 23749\n70766 100000\n8516 12775\n46284 69392\n60566 90856\n19586 29449\n50836 76210\n17444 26216\n81389 100000\n46749 70077\n24484 36741\n13957 20986\n34639 51950\n8383 12586\n23486 35239\n43614 65420\n8910 13371\n73421 100000\n83601 100000\n80789 100000\n14252 21428\n28365 42541\n79915 100000\n71272 100000\n909 1381\n8553 12830\n74044 100000\n29975 44951\n88448 100000\n23076 34632\n18847 28342\n58544 87812\n90321 100000\n75972 100000\n25085 37649\n9827 14746\n50411 75576\n85220 100000\n40247 60350\n57869 86783\n94514 100000\n85707 100000\n4919 7398\n66518 99794\n61589 92384\n18900 28423\n51678 77447\n8762 13148\n25651 38476\n36074 54082\n94419 100000\n48924 73331\n52962 79377\n85127 100000\n74937 100000\n97244 100000\n38558 57823\n78069 100000\n94690 100000\n36986 55459\n45680 68510\n54761 82099\n64721 97073\n20865 31360\n87333 100000\n75405 100000\n98760 100000\n28674 43007\n73084 100000\n38985 58442\n93281 100000\n72697 100000\n40647 60956\n38364 57528\n2218 3332\n75545 100000\n66905 100000\n65405 98110\n40422 60611\n7552 11351\n64910 97354\n50928 76350\n77437 100000\n42085 63122\n85752 100000\n24858 37297\n46036 69034\n96433 100000\n93848 100000\n35289 52918\n4130 6216\n51473 77146\n88925 100000\n48432 72579\n25928 38903\n27259 40866\n96961 100000\n60952 91442\n98572 100000\n41386 62077\n47178 70719\n88048 100000\n3102 4678\n52123 78119\n15997 24054\n48966 73392\n96001 100000\n78513 100000\n68548 100000\n31229 46869\n58974 88455\n4233 6372\n74683 100000\n65340 98009\n43753 65628\n95785 100000\n66861 100000\n32057 48101\n92784 100000\n61482 92229\n68954 100000\n90048 100000\n27463 41184\n9607 14416\n9303 13958\n91442 100000\n98385 100000\n79947 100000\n59636 89470\n93968 100000\n87250 100000\n98868 100000\n40219 60310\n89002 100000\n62672 94024\n62599 93914\n6635 9984\n64372 96545\n90218 100000\n35866 53775\n28007 42002\n97500 100000\n32672 49009\n75623 100000\n71138 100000\n77155 100000\n76425 100000\n60576 90871\n3387 5113\n26212 39325\n28407 42600\n78903 100000\n85751 100000\n27652 41464\n30721 46099\n37102 55630\n45307 67958\n37484 56204\n28607 42901\n1673 2523\n75977 100000\n95990 100000\n26430 39652\n86930 100000\n98046 100000\n36163 54212\n21985 33022\n33115 49660\n53929 80833\n66264 99414\n78927 100000\n96455 100000\n40850 61267\n23874 35821\n86317 100000\n76282 100000\n50623 75890\n3356 5066\n8268 12413\n50226 75290\n26736 40095\n48288 72361\n65502 98252\n13679 20559\n32506 48769\n80625 100000\n78316 100000\n37526 56263\n747 1141\n78630 100000\n16139 24263\n49060 73536\n44205 66297\n87324 100000\n49074 73552\n4044 6076\n75039 100000\n62774 94176\n25854 38789\n12303 18461\n72725 100000\n41631 62442\n95504 100000\n17569 26401\n65317 97973\n72933 100000\n4804 7233\n7754 11651\n17178 25818\n73658 100000\n26501 39755\n32855 49278\n82808 100000\n65733 98606\n61968 92966\n13572 20392\n81114 100000\n37837 56737\n98885 100000\n87309 100000\n6849 10296\n7701 11570\n37407 56086\n25931 38906\n14496 21791\n42656 63974\n98132 100000\n11395 17103\n12435 18662\n763 1162\n44735 67093\n65619 98435\n70984 100000\n17513 26315\n22258 33415\n2122 3183\n80179 100000\n87831 100000\n32095 48158\n58177 87255\n12837 19263\n28133 42186\n83415 100000\n34499 51740\n15212 22887\n81332 100000\n41489 62231\n65085 97623\n99991 100000\n51988 77921\n50919 76338\n79247 100000\n77614 100000\n6376 9609\n53413 80063\n66595 99903\n85790 100000\n81703 100000\n90303 100000\n36402 54583\n55850 83757\n23195 34809\n41127 61679\n19583 29444\n81169 100000\n47755 71568\n31687 47546\n98664 100000\n9325 13993\n40049 60049\n12615 18928\n89113 100000\n10666 15997\n86477 100000\n59302 88949\n81181 100000\n96349 100000\n82797 100000\n41840 62769\n43460 65198\n85929 100000\n63125 94699\n13316 19998\n45497 68239\n15104 22730\n8571 12860\n98832 100000\n9122 13674\n84616 100000\n4649 6998\n41913 62879\n58111 87155\n37686 56510\n73169 100000\n65327 97988\n83342 100000\n29700 44534\n16715 25133\n36391 54569\n55791 83678\n46356 69499\n94980 100000\n10364 15552\n4610 6939\n55543 83299\n75543 100000\n43769 65650\n5804 8724\n82119 100000\n19843 29832\n35172 52753\n47697 71482\n89534 100000\n52914 79304\n43484 65230\n88442 100000\n25091 37659\n35501 53231\n60490 90747\n44759 67129\n60499 90758\n40636 60937\n77810 100000\n41118 61666\n10834 16252\n77315 100000\n67739 100000\n7505 11279\n47536 71238\n69235 100000\n1942 2921\n42657 63975\n35387 53063\n23244 34881\n99495 100000\n60549 90833\n56695 85033\n49703 74505\n91386 100000\n13314 19995\n97685 100000\n40895 61331\n81954 100000\n34772 52153\n99724 100000\n16183 24329\n23986 36000\n22851 34288\n66437 99672\n46826 70187\n86433 100000\n42490 63731\n39143 58670\n6829 10266\n70742 100000\n1727 2600\n65134 97690\n23192 34805\n29989 44970\n7267 10926\n53224 79777\n79196 100000\n45981 68945\n57298 85938\n62902 94365\n33692 50520\n49458 74125\n40796 61186\n91211 100000\n21179 31832\n88667 100000\n17008 25554\n20667 31056\n67669 100000\n33883 50817\n45291 67935\n85978 100000\n11731 17606\n34829 52236\n78043 100000\n35645 53443\n18322 27527\n62470 93721\n12624 18941\n74926 100000\n23158 34757\n51818 77662\n65456 98181\n82611 100000\n60415 90637\n67482 100000\n13986 21026\n88135 100000\n79727 100000\n49899 74805\n11517 17286\n67836 100000\n53066 79534\n62845 94285\n44883 67315\n69010 100000\n64175 96252\n85407 100000\n86839 100000\n58375 87567\n29074 43602\n59426 89135\n35715 53545\n36283 54403\n8187 12293\n14525 21837\n85406 100000\n95303 100000\n53278 79860\n69254 100000\n83608 100000\n95053 100000\n85965 100000\n72065 100000\n5293 7958\n68919 100000\n46418 69588\n10471 15712\n20022 30102\n66802 100000\n59224 88830\n34883 52325\n62068 93107\n67744 100000\n32553 48834\n27567 41335\n29251 43869\n65400 98102\n24164 36263\n64999 97490\n84607 100000\n2840 4287\n61532 92296\n70893 100000\n32814 49219\n50199 75248\n16748 25180\n48871 73253\n76888 100000\n20810 31283\n72323 100000\n82646 100000\n51812 77651\n25468 38212\n57264 85886\n59184 88771\n89672 100000\n8079 12128\n36176 54233\n2721 4101\n78918 100000\n43176 64759\n18536 27856\n44901 67342\n8195 12306\n76432 100000\n41106 61648\n34332 51479\n59455 89183\n3516 5296\n10244 15378\n45299 67946\n35857 53761\n87553 100000\n63303 94945\n73585 100000\n79144 100000\n74713 100000\n10377 15570\n8564 12850\n81635 100000\n18587 27933\n40962 61430\n66948 100000\n82323 100000\n73009 100000\n78023 100000\n49881 74782\n48699 72993\n74087 100000\n8267 12412\n1519 2301\n90581 100000\n50292 75393\n97529 100000\n4760 7168\n61236 91859\n8279 12427\n47405 71051\n96520 100000\n83261 100000\n23477 35226\n97948 100000\n44159 66230\n76969 100000\n41270 61904\n74810 100000\n37174 55738\n31304 46974\n96770 100000\n94142 100000\n47848 71701\n24649 36979\n22373 33580\n14517 21823\n56352 84516\n55585 83362\n96714 100000\n39776 59642\n95399 100000\n16123 24240\n5679 8534\n50366 75508\n9742 14618\n51737 77535\n88580 100000\n61396 92102\n6761 10168\n57469 86199\n85598 100000\n82192 100000\n94495 100000\n34455 51672\n36722 55066\n78042 100000\n68296 100000\n48268 72329\n44067 66090\n8263 12407\n40610 60899\n21124 31750\n90053 100000\n40581 60856\n98179 100000\n99107 100000\n22702 34075\n23753 35637\n15512 23339\n97649 100000\n78092 100000\n54853 82240\n5642 8481\n19530 29363\n89314 100000\n12677 19028\n12027 18054\n84316 100000\n10284 15440\n29500 44242\n64350 96511\n8869 13306\n42741 64105\n61571 92358\n16155 24289\n17082 25664\n29453 44172\n98451 100000\n66630 99955\n93487 100000\n23549 35332\n70573 100000\n44762 67132\n96925 100000\n21449 32239\n28252 42365\n11660 17500\n43440 65166\n20102 30217\n36677 54994\n96347 100000\n51674 77442\n70457 100000\n58030 87030\n97317 100000\n91804 100000\n7293 10963\n60808 91221\n81356 100000\n28357 42527\n44328 66482\n90585 100000\n7899 11869\n4120 6201\n81820 100000\n27931 41891\n71133 100000\n32828 49241\n32546 48824\n47841 71690\n92229 100000\n19766 29721\n14545 21868\n81875 100000\n61078 91626\n72841 100000\n26683 40024\n23880 35831\n57801 86689\n77198 100000\n70205 100000\n21428 32209\n15183 22843\n9804 14713\n2225 3344\n91258 100000\n59438 89157\n97068 100000\n16572 24919\n20832 31316\n23426 35155\n43689 65531\n50984 76430\n36857 55268\n89084 100000\n49337 73946\n6370 9601\n52369 78483\n11388 17092\n59567 89358\n44686 67016\n63476 95196\n71631 100000\n47589 71317\n75448 100000\n56266 84389\n6258 9423\n6091 9161\n90188 100000\n99951 100000\n82027 100000\n11883 17837\n9763 14649\n1407 2128\n37502 56228\n65892 98853\n27 43\n40396 60574\n57243 85849\n24944 37427\n52771 79086\n63325 94976\n68562 100000\n62811 94233\n38966 58415\n69209 100000\n53555 80269\n16417 24683\n53023 79469\n10158 15246\n3207 4838\n95771 100000\n53634 80389\n31053 46608\n83650 100000\n80703 100000\n24427 36658\n3569 5377\n45567 68344\n39932 59873\n20372 30626\n15974 24015\n6598 9925\n13753 20672\n79129 100000\n52596 78827\n89908 100000\n67735 100000\n5829 8764\n6992 10514\n95701 100000\n73596 100000\n76642 100000\n70004 100000\n7540 11332\n21168 31814\n35623 53409\n18980 28541\n6157 9266\n29407 44110\n72132 100000\n43979 65963\n96707 100000\n95997 100000\n1773 2669\n90706 100000\n76902 100000\n65404 98109\n7072 10635\n65496 98242\n70894 100000\n29443 44159\n3818 5747\n81646 100000\n12387 18591\n90113 100000\n4582 6900\n85853 100000\n836 1271\n4560 6864\n23780 35678\n68330 100000\n19675 29580\n30950 46453\n35988 53953\n14050 21127\n55679 83506\n31220 46858\n99009 100000\n25434 38162\n55007 82481\n66095 99159\n58682 88014\n89765 100000\n43262 64888\n70583 100000\n23695 35549\n36777 55158\n69455 100000\n13566 20381\n46076 69094\n54982 82437\n24329 36513\n63678 95494\n37611 56398\n13401 20128\n96557 100000\n15766 23712\n89775 100000\n94285 100000\n25446 38179\n41439 62155\n91970 100000\n17154 25778\n88719 100000\n29718 44563\n20341 30580\n65471 98205\n35325 52971\n74661 100000\n44099 66137\n32819 49226\n27520 41270\n37039 55539\n80752 100000\n48784 73119\n8600 12902\n15328 23067\n51467 77136\n74832 100000\n87108 100000\n45999 68974\n47413 71061\n24455 36700\n59197 88790\n93393 100000\n93792 100000\n40827 61232\n38903 58326\n65814 98729\n34830 52238\n65234 97845\n57997 86979\n62812 94235\n71496 100000\n37699 56528\n60447 90689\n50070 75049\n74169 100000\n78424 100000\n13996 21041\n76036 100000\n62063 93100\n5478 8234\n64658 96975\n44249 66362\n23544 35324\n73219 100000\n97107 100000\n57208 85797\n34472 51701\n86408 100000\n62290 93444\n11117 16689\n63959 95912\n33284 49908\n80328 100000\n81015 100000\n46752 70083\n11319 16991\n3008 4542\n62823 94252\n64466 96685\n1907 2869\n14934 22468\n58908 88354\n40988 61469\n25470 38214\n72592 100000\n32622 48930\n30791 46211\n3530 5320\n67763 100000\n7358 11059\n68315 100000\n36918 55357\n54342 81451\n9851 14781\n71827 100000\n96226 100000\n94647 100000\n30217 45318\n99283 100000\n40838 61249\n59247 88867\n81965 100000\n26317 39485\n44245 66355\n64509 96746\n61442 92168\n43566 65352\n70714 100000\n19560 29412\n88101 100000\n56916 85357\n45815 68703\n18866 28373\n64644 96956\n42308 63459\n82860 100000\n3821 5753\n24137 36225\n90088 100000\n20006 30080\n87232 100000\n86437 100000\n9736 14608\n15143 22788\n561 858\n25017 37538\n27481 41212\n61269 91908\n22360 33561\n38565 57831\n24391 36606\n64283 96413\n25276 37929\n82846 100000\n30654 45996\n47987 71915\n35849 53747\n2156 3237\n74031 100000\n15889 23893\n61499 92252\n44036 66048\n61509 92266\n21750 32673\n65448 98172\n74056 100000\n1437 2176\n48733 73042\n62763 94159\n24807 37222\n8442 12671\n81345 100000\n15860 23845\n35817 53700\n34192 51270\n58778 88161\n254 391\n32951 49423\n2401 3608\n21092 31705\n68219 100000\n33116 49661\n22723 34105\n55202 82783\n73854 100000\n67594 100000\n53931 80835\n87985 100000\n27345 40992\n60876 91323\n28168 42243\n39138 58662\n7332 11023\n97818 100000\n70170 100000\n99743 100000\n98474 100000\n90464 100000\n18954 28502\n7832 11764\n94235 100000\n87272 100000\n15484 23302\n32502 48764\n58460 87696\n58224 87326\n36198 54267\n936 1424\n29144 43707\n24174 36276\n96898 100000\n26375 39569\n86718 100000\n39481 59193\n36903 55336\n29059 43586\n27441 41148\n56437 84649\n96642 100000\n3810 5738\n70291 100000\n77453 100000\n75297 100000\n36319 54457\n15918 23935\n44009 66011\n12573 18865\n50285 75384\n72406 100000\n47733 71538\n46859 70235\n61124 91695\n32297 48451\n87283 100000\n64002 95980\n3584 5396\n84511 100000\n47880 71746\n9646 14471\n3501 5277\n7876 11830\n89408 100000\n77772 100000\n48783 73117\n39895 59816\n29183 43762\n82693 100000\n70538 100000\n47011 70467\n83355 100000\n16680 25080\n40756 61121\n71369 100000\n5054 7602\n26410 39621\n47653 71418\n41145 61707\n47416 71066\n40217 60308\n25334 38014\n94873 100000\n72522 100000\n6851 10299\n69271 100000\n29922 44870\n25646 38470\n49272 73843\n73404 100000\n73823 100000\n13478 20248\n73588 100000\n78132 100000\n52736 79035\n41525 62286\n96072 100000\n40377 60546\n62001 93012\n20979 31537\n87611 100000\n24283 36441\n56629 84934\n74104 100000\n71610 100000\n62587 93893\n84318 100000\n96636 100000\n28321 42472\n98336 100000\n68212 100000\n60343 90529\n8840 13267\n29742 44597\n77166 100000\n58543 87811\n8958 13437\n50541 75768\n94590 100000\n44130 66188\n62110 93162\n23648 35480\n90093 100000\n86721 100000\n87926 100000\n95009 100000\n33510 50246\n48539 72749\n74138 100000\n21936 32951\n39540 59286\n51409 77061\n26723 40076\n88854 100000\n54777 82123\n26466 39705\n48332 72426\n75524 100000\n42694 64029\n17783 26721\n60812 91228\n69121 100000\n95603 100000\n45843 68744\n33698 50528\n78062 100000\n10885 16331\n30211 45309\n13449 20207\n61195 91801\n18261 27436\n89924 100000\n64085 96110\n20967 31520\n85 134\n57654 86472\n12180 18285\n98755 100000\n3664 5520\n94270 100000\n31924 47895\n99741 100000\n48309 72391\n71070 100000\n21456 32251\n6993 10515\n78883 100000\n54245 81298\n47302 70903\n75589 100000\n98672 100000\n40652 60963\n54783 82133\n98295 100000\n51817 77660\n23458 35200\n47116 70623\n75098 100000\n84880 100000\n67119 100000\n90425 100000\n97745 100000\n59862 89816\n24674 37016\n20925 31457\n99988 100000\n40806 61202\n89726 100000\n64104 96139\n83031 100000\n67409 100000\n63566 95325\n46744 70070\n2962 4471\n45980 68944\n98688 100000\n92846 100000\n96163 100000\n97446 100000\n38981 58436\n83016 100000\n14178 21321\n82669 100000\n58508 87760\n17006 25551\n82974 100000\n8542 12811\n14852 22344\n67309 100000\n73916 100000\n1396 2111\n50391 75545\n35695 53518\n37125 55663\n34139 51190\n29988 44968\n72278 100000\n83948 100000\n16066 24156\n96979 100000\n9147 13712\n80666 100000\n10196 15305\n73035 100000\n43066 64588\n19261 28954\n34777 52159\n67760 100000\n1233 1869\n52864 79234\n34203 51285\n78989 100000\n17089 25675\n22266 33426\n91889 100000\n90611 100000\n77012 100000\n72505 100000\n38676 57995\n62268 93411\n81371 100000\n21761 32691\n40786 61170\n41607 62405\n7883 11840\n67043 100000\n16424 24695\n88878 100000\n79795 100000\n39028 58507\n47647 71408\n49168 73696\n70122 100000\n41983 62978\n6412 9664\n86453 100000\n26608 39917\n97811 100000\n59774 89687\n81728 100000\n45314 67967\n65695 98546\n91231 100000\n73205 100000\n8155 12245\n57322 85976\n88251 100000\n77428 100000\n22460 33714\n40683 61004\n72566 100000\n79270 100000\n87428 100000\n33024 49527\n9188 13775\n84259 100000\n17248 25926\n16815 25277\n21197 31859\n13481 20253\n25426 38149\n52778 79097\n37032 55529\n47659 71427\n21788 32732\n22286 33455\n65022 97522\n46372 69521\n33223 49821\n94897 100000\n83322 100000\n85190 100000\n91093 100000\n82462 100000\n53768 80583\n4682 7049\n8864 13301\n16140 24265\n4751 7151\n12264 18410\n60944 91428\n50556 75787\n85155 100000\n34265 51378\n52074 78052\n38034 57035\n90557 100000\n16505 24823\n79758 100000\n91441 100000\n82710 100000\n58420 87631\n3028 4570\n62724 94099\n28082 42114\n8828 13248\n91692 100000\n57611 86405\n12322 18491\n82099 100000\n25704 38554\n4970 7477\n51995 77929\n83603 100000\n62234 93361\n86528 100000\n27223 40810\n40053 60055\n42196 63297\n76513 100000\n79732 100000\n2886 4355\n48958 73381\n61870 92817\n4745 7143\n17630 26487\n21235 31920\n5578 8387\n67748 100000\n44350 66516\n24872 37321\n73107 100000\n53789 80613\n4186 6303\n28505 42755\n39801 59675\n3066 4628\n83583 100000\n5733 8611\n47212 70771\n5419 8144\n10082 15132\n859 1306\n29625 44419\n74651 100000\n46943 70363\n66487 99749\n60670 91012\n99755 100000\n42533 63796\n97495 100000\n81387 100000\n22353 33552\n24951 37438\n95248 100000\n16902 25401\n36840 55245\n25258 37904\n25698 38543\n65571 98358\n2366 3558\n91863 100000\n82265 100000\n82447 100000\n34582 51866\n50816 76180\n78752 100000\n22154 33270\n24678 37023\n92660 100000\n41901 62862\n25175 37781\n76165 100000\n63188 94782\n5572 8378\n32270 48416\n67138 100000\n14892 22401\n31306 46978\n55719 83566\n81685 100000\n43164 64740\n14080 21174\n57350 86019\n33317 49958\n64643 96955\n42161 63241\n83225 100000\n49789 74643\n51763 77574\n2254 3385\n33247 49858\n61805 92710\n58447 87677\n1252 1897\n45395 68088\n68976 100000\n98576 100000\n4246 6392\n34189 51267\n30306 45448\n75593 100000\n4247 6393\n52870 79242\n33334 49985\n63883 95802\n37446 56144\n72958 100000\n88731 100000\n52755 79064\n23149 34746\n96930 100000\n81477 100000\n69578 100000\n41873 62820\n94504 100000\n37330 55971\n97097 100000\n63199 94795\n91928 100000\n71360 100000\n71429 100000\n29445 44162\n43709 65564\n3886 5848\n82741 100000\n88718 100000\n63691 95511\n8154 12244\n58771 88151\n19904 29923\n35143 52707\n95836 100000\n67888 100000\n42250 63377\n93599 100000\n78150 100000\n61311 91976\n49024 73479\n48270 72333\n75082 100000\n77219 100000\n75062 100000\n41787 62686\n89095 100000\n84595 100000\n71258 100000\n68843 100000\n38178 57254\n89751 100000\n14685 22089\n77838 100000\n60021 90054\n9824 14742\n15462 23267\n94241 100000\n25346 38030\n26927 40372\n35750 53598\n34579 51861\n97492 100000\n97451 100000\n61735 92602\n76664 100000\n31605 47422\n54676 81967\n88380 100000\n68346 100000\n83054 100000\n7894 11860\n94396 100000\n81571 100000\n12273 18422\n94233 100000\n94651 100000\n25977 38972\n19476 29286\n66645 99977\n45585 68374\n5053 7601\n9690 14540\n21905 32905\n3645 5489\n21404 32171\n56048 84058\n9458 14182\n82876 100000\n95532 100000\n40262 60376\n43380 65073\n52247 78299\n25862 38801\n79881 100000\n56644 84958\n74631 100000\n57080 85606\n71552 100000\n75717 100000\n20148 30290\n3860 5809\n52784 79108\n45763 68629\n99367 100000\n24061 36106\n74247 100000\n23257 34901\n49756 74591\n90269 100000\n67521 100000\n91201 100000\n69812 100000\n22389 33606\n93992 100000\n93250 100000\n5253 7897\n37655 56466\n23131 34716\n78814 100000\n21911 32914\n97073 100000\n88975 100000\n31898 47859\n74921 100000\n75830 100000\n91785 100000\n43362 65044\n904 1373\n29010 43513\n84450 100000\n4768 7182\n89102 100000\n48240 72285\n40696 61024\n11901 17868\n8047 12078\n27147 40698\n19787 29751\n88131 100000\n2653 3996\n94849 100000\n25811 38725\n70073 100000\n15577 23436\n21616 32477\n97235 100000\n74840 100000\n76933 100000\n23281 34937\n77459 100000\n70885 100000\n91308 100000\n15590 23457\n26455 39689\n6845 10292\n76277 100000\n35553 53308\n62606 93924\n29169 43744\n64701 97043\n8899 13352\n10675 16007\n25846 38778\n670 1022\n68221 100000\n76481 100000\n77294 100000\n32315 48478\n12982 19488\n10246 15381\n15195 22863\n83627 100000\n45457 68174\n81834 100000\n74725 100000\n84810 100000\n45743 68602\n15316 23046\n1684 2537\n13743 20658\n75989 100000\n9340 14015\n21128 31756\n59810 89739\n5889 8854\n7835 11769\n4093 6157\n49179 73712\n97515 100000\n11282 16931\n70450 100000\n56773 85142\n37957 56915\n97394 100000\n15149 22795\n55805 83695\n80806 100000\n99089 100000\n13857 20831\n98694 100000\n27284 40902\n37111 55644\n81140 100000\n21418 32193\n52466 78631\n32495 48753\n80731 100000\n35010 52512\n71791 100000\n54399 81546\n35770 53626\n72048 100000\n34421 51618\n60836 91263\n51350 76974\n39773 59636\n97536 100000\n7702 11571\n39493 59215\n7224 10865\n93047 100000\n95611 100000\n60322 90498\n97054 100000\n35576 53341\n12184 18291\n60332 90514\n10832 16248\n12500 18757\n43950 65920\n83175 100000\n33111 49655\n21433 32217\n27663 41480\n89212 100000\n12062 18110\n36678 54995\n65391 98090\n51438 77100\n56969 85440\n42276 63414\n91197 100000\n89477 100000\n99840 100000\n24645 36972\n30321 45470\n47615 71358\n64867 97287\n31985 47992\n19764 29718\n9368 14056\n11172 16764\n35386 53062\n7898 11867\n78021 100000\n73422 100000\n29875 44801\n68543 100000\n13681 20562\n46271 69374\n93059 100000\n83967 100000\n6057 9113\n26564 39851\n89426 100000\n41102 61643\n54211 81251\n54923 82346\n20136 30272\n59120 88672\n9809 14720\n72801 100000\n55983 83954\n48287 72360\n59532 89306\n83304 100000\n57069 85588\n68894 100000\n21429 32211\n87286 100000\n76639 100000\n6575 9889\n91246 100000\n10463 15703\n4145 6236\n6008 9032\n1254 1901\n4389 6608\n7673 11532\n10748 16120\n99794 100000\n23201 34818\n66532 99814\n76211 100000\n36675 54992\n86611 100000\n56849 85259\n77100 100000\n89519 100000\n75933 100000\n87865 100000\n84685 100000\n13271 19926\n44217 66314\n42943 64404\n93441 100000\n29611 44399\n92867 100000\n32782 49170\n13282 19942\n97638 100000\n77482 100000\n249 383\n63686 95506\n18903 28426\n50810 76172\n42899 64337\n56353 84518\n89481 100000\n47516 71205\n41782 62678\n6025 9056\n82982 100000\n49152 73673\n38731 58078\n5332 8016\n61272 91912\n44578 66855\n23381 35089\n74777 100000\n50933 76356\n21808 32764\n10625 15935\n87866 100000\n10986 16481\n84176 100000\n40789 61175\n66218 99346\n44525 66776\n78900 100000\n40672 60989\n14687 22092\n74613 100000\n84292 100000\n51099 76605\n43217 64817\n69784 100000\n54757 82093\n89497 100000\n67624 100000\n87217 100000\n91750 100000\n26529 39798\n39896 59817\n61010 91528\n86328 100000\n72935 100000\n30672 46025\n14500 21798\n95425 100000\n27620 41414\n18707 28126\n64455 96668\n97545 100000\n36672 54989\n69116 100000\n45130 67686\n52917 79308\n9788 14689\n79506 100000\n37361 56016\n99383 100000\n38318 57462\n73640 100000\n4126 6211\n38395 57575\n77621 100000\n23463 35207\n37932 56879\n6912 10388\n89011 100000\n9330 14000\n38672 57990\n98115 100000\n57220 85814\n38104 57138\n36067 54070\n59526 89298\n98593 100000\n19211 28881\n58573 87852\n35917 53852\n50433 75606\n3321 5012\n95821 100000\n33000 49492\n34955 52427\n26248 39382\n66138 99229\n62150 93223\n35957 53908\n15268 22977\n60620 90935\n15708 23630\n95051 100000\n16560 24903\n78351 100000\n73608 100000\n15907 23920\n45180 67763\n56810 85200\n12719 19085\n65467 98198\n34584 51868\n79126 100000\n94727 100000\n30192 45281\n63053 94591\n86391 100000\n17411 26169\n1656 2498\n93942 100000\n2645 3985\n21510 32331\n32385 48586\n12451 18684\n51038 76515\n13313 19993\n1420 2148\n78584 100000\n12791 19193\n28153 42216\n1558 2356\n4030 6051\n32739 49111\n18495 27789\n1759 2648\n92625 100000\n54857 82245\n20105 30223\n84452 100000\n51338 76955\n46759 70094\n95103 100000\n24269 36419\n17974 27001\n55486 83210\n43983 65969\n26982 40447\n19074 28679\n4195 6315\n53014 79453\n89909 100000\n98265 100000\n56109 84147\n69680 100000\n19681 29591\n35944 53888\n83843 100000\n87325 100000\n77109 100000\n50004 74956\n94479 100000\n23489 35243\n32123 48201\n20474 30771\n96035 100000\n87358 100000\n39613 59396\n80640 100000\n18905 28428\n98339 100000\n24199 36313\n12332 18508\n42725 64075\n16382 24630\n21580 32432\n19181 28838\n8363 12555\n1314 1991\n55472 83188\n82787 100000\n18528 27843\n54298 81383\n91430 100000\n1154 1745\n15596 23466\n73718 100000\n795 1208\n38667 57982\n19361 29109\n42958 64426\n60711 91071\n28610 42904\n81653 100000\n60829 91251\n69467 100000\n85196 100000\n71586 100000\n36775 55154\n18209 27358\n76835 100000\n40955 61421\n15205 22875\n35667 53475\n6455 9718\n23074 34630\n59668 89520\n99839 100000\n99586 100000\n31619 47443\n16361 24599\n89686 100000\n33644 50452\n24760 37150\n75282 100000\n68395 100000\n7276 10940\n65356 98038\n46238 69324\n40246 60349\n27480 41211\n2290 3444\n31888 47845\n88699 100000\n71315 100000\n12866 19309\n11454 17192\n76079 100000\n4227 6363\n48831 73190\n48496 72677\n48561 72783\n60610 90920\n17439 26210\n50670 75962\n52199 78230\n64275 96403\n74212 100000\n95371 100000\n60443 90683\n7380 11093\n69056 100000\n86167 100000\n73375 100000\n79071 100000\n52050 78017\n18051 27121\n56413 84614\n18861 28366\n82734 100000\n7465 11217\n44056 66075\n38133 57178\n33684 50509\n70100 100000\n44973 67441\n34540 51802\n7995 12006\n18605 27960\n62977 94475\n12068 18118\n68694 100000\n90448 100000\n51286 76882\n14332 21550\n95052 100000\n24820 37243\n54848 82234\n60026 90062\n53425 80082\n47731 71535\n69716 100000\n15360 23115\n68183 100000\n98386 100000\n28842 43263\n9861 14799\n23098 34668\n20950 31492\n28686 43024\n70823 100000\n28569 42844\n33764 50631\n19809 29784\n23083 34644\n76448 100000\n64078 96098\n2537 3824\n46063 69076\n60681 91027\n20581 30923\n3799 5725\n15422 23207\n13416 20151\n18368 27595\n63008 94522\n28518 42772\n97944 100000\n14482 21775\n4078 6134\n95546 100000\n71377 100000\n70461 100000\n76363 100000\n85330 100000\n9849 14779\n17681 26566\n10536 15805\n22019 33070\n49340 73950\n56068 84086\n36800 55194\n69997 100000\n93423 100000\n92294 100000\n27260 40867\n99117 100000\n30936 46431\n71842 100000\n52694 78972\n93167 100000\n77280 100000\n8480 12725\n3029 4571\n48636 72898\n9409 14114\n89373 100000\n83292 100000\n1735 2613\n69450 100000\n73833 100000\n64310 96453\n16799 25252\n85895 100000\n24476 36730\n96080 100000\n13136 19723\n43918 65871\n48058 72015\n42814 64214\n84808 100000\n50440 75615\n25430 38156\n69463 100000\n60679 91025\n4182 6296\n10761 16139\n26101 39164\n47673 71448\n32940 49407\n91322 100000\n44318 66467\n74426 100000\n49429 74082\n9376 14066\n50814 76177\n96328 100000\n36570 54831\n12914 19383\n85335 100000\n81233 100000\n88461 100000\n6339 9550\n6287 9470\n16584 24937\n2843 4292\n70733 100000\n29854 44767\n73067 100000\n43084 64614\n36697 55025\n4142 6232\n98657 100000\n64373 96546\n97453 100000\n92761 100000\n30004 44992\n32181 48277\n12327 18500\n21329 32061\n53202 79744\n12481 18727\n54175 81198\n21852 32830\n84203 100000\n76750 100000\n88922 100000\n17149 25771\n92009 100000\n10387 15586\n40296 60421\n11070 16614\n36057 54057\n24384 36595\n3640 5480\n79035 100000\n8067 12109\n89947 100000\n79061 100000\n80204 100000\n18724 28153\n52033 77987\n57501 86244\n13221 19859\n37382 56049\n29088 43623\n40345 60495\n17833 26798\n13381 20095\n4521 6803\n38735 58085\n73734 100000\n74312 100000\n62838 94277\n53566 80284\n7232 10875\n93133 100000\n31030 46576\n41151 61716\n25257 37902\n86415 100000\n30788 46207\n59741 89637\n271 417\n95685 100000\n46699 69999\n2547 3838\n84758 100000\n38922 58355\n80917 100000\n26434 39658\n56826 85225\n88282 100000\n84781 100000\n79060 100000\n96719 100000\n8096 12156\n90801 100000\n82905 100000\n40130 60174\n96829 100000\n42260 63391\n98676 100000\n79934 100000\n70025 100000\n37891 56815\n55623 83422\n56985 85463\n71440 100000\n95167 100000\n87056 100000\n56210 84301\n15159 22810\n73301 100000\n64574 96847\n60533 90808\n75557 100000\n30789 46208\n81506 100000\n76828 100000\n64970 97448\n2839 4286\n70213 100000\n3113 4695\n40765 61136\n24985 37492\n66897 100000\n39368 59026\n27023 40512\n71820 100000\n34575 51855\n88727 100000\n94881 100000\n47541 71246\n80697 100000\n9686 14534\n85591 100000\n36694 55021\n11495 17252\n71292 100000\n51791 77618\n89077 100000\n41521 62279\n88828 100000\n79701 100000\n35976 53938\n20941 31481\n83296 100000\n11031 16553\n23265 34914\n59745 89643\n50521 75739\n55895 83825\n65124 97676\n94528 100000\n58113 87159\n39124 58644\n64547 96807\n90158 100000\n94785 100000\n84976 100000\n45425 68128\n63923 95862\n78086 100000\n59641 89478\n23199 34815\n20294 30506\n98521 100000\n11176 16770\n86572 100000\n11442 17176\n47556 71268\n58118 87169\n25063 37613\n70380 100000\n8312 12476\n85768 100000\n28864 43297\n33272 49893\n87487 100000\n91879 100000\n79492 100000\n42547 63815\n44299 66437\n26113 39179\n37693 56520\n66498 99764\n74131 100000\n36530 54770\n85834 100000\n64744 97104\n55505 83241\n72261 100000\n77213 100000\n56876 85294\n14408 21662\n88896 100000\n47580 71303\n84921 100000\n56166 84235\n39200 58761\n20869 31368\n73419 100000\n5880 8841\n74855 100000\n58434 87656\n71254 100000\n20803 31272\n48005 71939\n1833 2758\n34069 51083\n22160 33279\n64147 96208\n55745 83607\n38301 57438\n8220 12344\n42930 64387\n44627 66932\n21341 32079\n46776 70116\n6750 10151\n42390 63581\n49439 74097\n53830 80680\n83161 100000\n7721 11598\n14591 21938\n32120 48196\n98881 100000\n79442 100000\n83907 100000\n75339 100000\n60933 91411\n48685 72970\n15987 24035\n76220 100000\n44962 67427\n51490 77169\n23396 35110\n48901 73300\n38636 57933\n66025 99052\n80371 100000\n88208 100000\n2045 3073\n34457 51675\n56678 85004\n34568 51843\n71498 100000\n72617 100000\n76618 100000\n45044 67556\n34142 51195\n20617 30982\n95951 100000\n19679 29588\n15047 22640\n78447 100000\n17392 26142\n32720 49083\n17279 25973\n466 714\n27448 41160\n30183 45268\n59097 88635\n86692 100000\n28507 42758\n28001 41994\n8573 12862\n72410 100000\n57182 85756\n47225 70787\n27835 41747\n81564 100000\n50176 75213\n57357 86030\n32631 48946\n15052 22648\n91557 100000\n94633 100000\n82592 100000\n37999 56980\n70853 100000\n63299 94939\n67921 100000\n63240 94857\n40868 61291\n37490 56212\n30298 45436\n48387 72509\n45544 68311\n81553 100000\n57192 85771\n67611 100000\n57579 86357\n42399 63595\n33201 49790\n99891 100000\n67630 100000\n64255 96373\n73925 100000\n33294 49924\n28747 43120\n73580 100000\n35613 53394\n97710 100000\n12025 18051\n92176 100000\n46177 69239\n40961 61429\n31629 47456\n60646 90976\n66625 99949\n83562 100000\n68428 100000\n5512 8280\n71055 100000\n21303 32020\n74563 100000\n48316 72402\n14590 21936\n26842 40251\n29676 44499\n65027 97530\n49294 73882\n15191 22857\n95874 100000\n47816 71655\n32198 48306\n49552 74276\n5372 8080\n75975 100000\n79059 100000\n19240 28925\n26969 40429\n65902 98867\n9456 14179\n29623 44416\n74721 100000\n9648 14474\n24819 37241\n49724 74541\n29532 44289\n31186 46808\n46999 70448\n9099 13638\n57526 86281\n76414 100000\n49862 74752\n52867 79238\n86305 100000\n31722 47602\n44985 67459\n75860 100000\n25023 37547\n41067 61593\n30295 45431\n21117 31742\n26405 39613\n14387 21630\n99651 100000\n27052 40553\n57965 86930\n23360 35057\n93179 100000\n90111 100000\n68525 100000\n85005 100000\n89979 100000\n87673 100000\n60185 90295\n43099 64640\n7442 11182\n86412 100000\n9155 13725\n12532 18801\n53977 80903\n3487 5259\n96494 100000\n47713 71505\n14666 22059\n27606 41395\n22564 33871\n83701 100000\n30480 45725\n96956 100000\n63048 94582\n63343 95002\n7470 11225\n7459 11209\n91837 100000\n14564 21894\n94565 100000\n41870 62816\n73360 100000\n83791 100000\n79414 100000\n49406 74048\n91326 100000\n35208 52801\n55341 82989\n3963 5958\n31381 47084\n5150 7747\n79679 100000\n33293 49923\n72843 100000\n63594 95371\n33457 50166\n49085 73569\n76093 100000\n94699 100000\n65246 97862\n38995 58457\n66007 99025\n76941 100000\n31434 47162\n46940 70360\n81893 100000\n62024 93044\n93430 100000\n99104 100000\n10500 15755\n44997 67479\n32125 48203\n73358 100000\n48254 72307\n21162 31805\n29561 44327\n58672 88000\n88626 100000\n47908 71789\n1535 2324\n96076 100000\n57808 86700\n45858 68765\n35316 52958\n59199 88792\n7906 11880\n81145 100000\n19121 28750\n25241 37878\n16270 24461\n22537 33826\n84252 100000\n51253 76833\n79984 100000\n77990 100000\n72941 100000\n27419 41112\n96436 100000\n40028 60018\n76098 100000\n51862 77725\n50457 75644\n55634 83436\n73436 100000\n53508 80202\n94553 100000\n7348 11046\n98220 100000\n71708 100000\n82677 100000\n46454 69640\n37007 55490\n64609 96901\n64008 95991\n27468 41193\n73861 100000\n14828 22308\n71824 100000\n15944 23972\n93211 100000\n34678 52010\n57720 86569\n17910 26908\n75035 100000\n87616 100000\n96048 100000\n55233 82827\n53342 79962\n79286 100000\n67963 100000\n83988 100000\n20629 31001\n63982 95943\n85384 100000\n18423 27678\n88701 100000\n66985 100000\n97772 100000\n17793 26738\n87567 100000\n33669 50488\n67010 100000\n77713 100000\n70281 100000\n72481 100000\n93589 100000\n41883 62835\n4037 6064\n91262 100000\n34076 51095\n76256 100000\n32920 49378\n82687 100000\n1929 2903\n22294 33467\n13173 19786\n30766 46171\n25003 37519\n19096 28712\n21344 32082\n52493 78670\n10659 15987\n64422 96619\n50422 75591\n24290 36451\n56385 84573\n66915 100000\n8625 12941\n63289 94926\n7998 12010\n34429 51629\n59358 89034\n49104 73601\n31709 47579\n6369 9599\n28530 42790\n32703 49057\n80433 100000\n69392 100000\n52824 79168\n82082 100000\n44957 67420\n46847 70218\n91536 100000\n1647 2485\n92058 100000\n50175 75211\n11554 17342\n19363 29113\n83618 100000\n771 1175\n94522 100000\n90539 100000\n50632 75906\n72185 100000\n64827 97226\n71418 100000\n23784 35685\n13011 19536\n51035 76510\n79197 100000\n63102 94666\n18789 28253\n81934 100000\n11223 16840\n51713 77497\n15037 22620\n33950 50911\n38292 57425\n69067 100000\n48280 72350\n90894 100000\n29848 44757\n72791 100000\n71626 100000\n34902 52354\n18122 27225\n67898 100000\n91237 100000\n35833 53722\n21933 32945\n3271 4936\n1306 1979\n68313 100000\n96011 100000\n12697 19056\n17311 26024\n56528 84783\n20891 31403\n10163 15254\n97234 100000\n71832 100000\n14476 21766\n73798 100000\n32999 49491\n84822 100000\n58663 87987\n23293 34956\n67361 100000\n31110 46689\n98228 100000\n20597 30952\n4357 6561\n59980 89997\n93015 100000\n53503 80194\n65459 98185\n18817 28297\n49517 74219\n11492 17249\n19076 28682\n43510 65268\n12111 18177\n88670 100000\n39263 58863\n1882 2834\n71522 100000\n23177 34785\n23657 35494\n49403 74043\n88218 100000\n42552 63821\n81594 100000\n17646 26511\n62390 93604\n59881 89845\n29233 43840\n29719 44564\n17320 26039\n3976 5978\n43014 64510\n29092 43628\n29594 44375\n77150 100000\n36715 55054\n15762 23708\n89844 100000\n87397 100000\n64665 96987\n99679 100000\n38184 57262\n25202 37823\n91788 100000\n49699 74499\n90567 100000\n88043 100000\n8951 13426\n69629 100000\n21714 32618\n87891 100000\n43790 65678\n95256 100000\n86629 100000\n83973 100000\n84962 100000\n41049 61566\n12032 18060\n99821 100000\n32944 49412\n18961 28512\n24813 37232\n34964 52441\n90846 100000\n13832 20791\n22408 33634\n46973 70408\n27757 41627\n62355 93551\n16411 24674\n5391 8104\n58837 88247\n49022 73475\n99103 100000\n38895 58315\n16925 25438\n17775 26707\n93967 100000\n6975 10487\n98502 100000\n4017 6034\n10512 15770\n31188 46810\n91848 100000\n44528 66781\n50184 75226\n97572 100000\n10527 15790\n61040 91572\n92907 100000\n26122 39191\n48503 72686\n96016 100000\n66596 99905\n34471 51699\n26294 39451\n33263 49879\n19930 29966\n11243 16869\n80590 100000\n91014 100000\n20631 31004\n30803 46230\n46189 69255\n17489 26282\n97419 100000\n73371 100000\n7678 11538\n64752 97115\n7466 11219\n1576 2383\n36004 53978\n11944 17926\n68039 100000\n93526 100000\n8572 12861\n24033 36067\n70590 100000\n39011 58482\n64582 96860\n75300 100000\n1726 2598\n9652 14479\n92944 100000\n19817 29795\n62266 93408\n19294 29002\n98874 100000\n53575 80296\n43781 65667\n31978 47980\n41114 61659\n78445 100000\n72160 100000\n25076 37637\n53331 79947\n71093 100000\n9361 14045\n25194 37810\n27947 41917\n86334 100000\n51054 76537\n33036 49545\n30405 45608\n4221 6353\n10099 15157\n97709 100000\n68244 100000\n52378 78498\n65163 97734\n57112 85651\n6708 10091\n1108 1672\n64549 96810\n1445 2188\n70568 100000\n22721 34101\n8729 13095\n44118 66167\n90572 100000\n81943 100000\n90356 100000\n62062 93099\n11854 17793\n93109 100000\n78561 100000\n83599 100000\n40799 61191\n58703 88046\n95671 100000\n67672 100000\n31429 47157\n72664 100000\n34510 51757\n15210 22883\n70624 100000\n35389 53067\n27601 41386\n94667 100000\n1902 2863\n92564 100000\n32279 48427\n71244 100000\n81263 100000\n46577 69820\n92594 100000\n79530 100000\n21606 32466\n79402 100000\n93947 100000\n33054 49572\n1261 1911\n54867 82262\n78058 100000\n80359 100000\n47143 70666\n91178 100000\n67127 100000\n89217 100000\n73192 100000\n67534 100000\n41395 62089\n71043 100000\n30797 46221\n99094 100000\n64069 96088\n68903 100000\n56691 85025\n21889 32882\n22745 34135\n53838 80691\n20219 30399\n18709 28129\n41164 61737\n46200 69269\n53002 79435\n485 742\n60821 91241\n29072 43599\n11472 17221\n36714 55053\n87424 100000\n32408 48622\n30223 45325\n53961 80881\n52187 78214\n76571 100000\n51614 77351\n54637 81904\n805 1223\n87957 100000\n76877 100000\n3755 5659\n15380 23142\n4733 7126\n79925 100000\n71266 100000\n96385 100000\n69797 100000\n95166 100000\n16992 25531\n41279 61919\n47115 70621\n3079 4647\n20111 30233\n7487 11251\n38325 57472\n17794 26739\n48020 71959\n9264 13897\n13742 20657\n122 189\n19756 29703\n9040 13554\n39312 58941\n77415 100000\n94426 100000\n56968 85438\n51859 77720\n97945 100000\n88472 100000\n48088 72061\n999 1514\n50373 75519\n63829 95716\n36303 54431\n4889 7351\n58066 87089\n38748 58104\n64932 97388\n34377 51553\n71144 100000\n88411 100000\n1310 1985\n93032 100000\n4627 6968\n1849 2784\n73666 100000\n46167 69226\n91286 100000\n23905 35872\n74862 100000\n28694 43036\n22493 33764\n19173 28827\n51156 76691\n31867 47812\n81925 100000\n18046 27114\n99282 100000\n90023 100000\n56478 84709\n73512 100000\n39629 59424\n20675 31070\n1972 2965\n86502 100000\n11186 16784\n76368 100000\n97357 100000\n56113 84153\n31682 47538\n67696 100000\n89602 100000\n29947 44909\n85600 100000\n67762 100000\n3221 4862\n98529 100000\n97611 100000\n14019 21078\n49898 74803\n13723 20630\n18097 27187\n69974 100000\n46895 70290\n15060 22662\n27383 41053\n45204 67798\n75883 100000\n72618 100000\n56194 84276\n43020 64518\n66192 99304\n54579 81816\n28578 42860\n93847 100000\n77641 100000\n91872 100000\n19580 29439\n60547 90830\n82325 100000\n79207 100000\n70112 100000\n65050 97568\n13232 19874\n86823 100000\n39074 58572\n11431 17158\n71588 100000\n51412 77064\n78318 100000\n48035 71979\n92098 100000\n54694 81995\n66598 99908\n13790 20727\n34405 51595\n56582 84866\n58587 87872\n92348 100000\n43304 64956\n11829 17756\n99550 100000\n5179 7786\n25452 38189\n37194 55766\n19087 28700\n27803 41700\n11735 17612\n97605 100000\n8643 12968\n53008 79446\n5624 8454\n87485 100000\n58819 88221\n81467 100000\n98053 100000\n16920 25431\n23568 35364\n80530 100000\n33947 50906\n4661 7017\n95106 100000\n98617 100000\n77053 100000\n75705 100000\n43649 65470\n45612 68412\n83590 100000\n27673 41492\n86745 100000\n73732 100000\n35408 53095\n11377 17071\n72630 100000\n70282 100000\n73356 100000\n49148 73665\n28012 42010\n56035 84037\n41804 62714\n54897 82306\n30270 45396\n5118 7700\n11157 16743\n49570 74302\n10724 16083\n79543 100000\n60735 91107\n95489 100000\n79713 100000\n76087 100000\n90173 100000\n23466 35211\n22957 34449\n36907 55343\n85364 100000\n18689 28095\n26463 39701\n83205 100000\n72 111\n59229 88838\n15579 23439\n44531 66786\n72698 100000\n39383 59048\n39096 58604\n3247 4899\n15960 23996\n54488 81686\n13885 20873\n58753 88125\n50508 75719\n66577 99875\n45351 68021\n22798 34212\n61066 91608\n31935 47912\n16391 24643\n59557 89344\n63192 94788\n18740 28178\n65033 97539\n17757 26681\n7137 10734\n39980 59943\n31413 47132\n59599 89411\n98922 100000\n94835 100000\n22257 33413\n43650 65472\n23850 35787\n79211 100000\n76611 100000\n86197 100000\n61330 92003\n51433 77093\n44073 66098\n53226 79780\n71648 100000\n59531 89305\n23899 35861\n40271 60386\n14732 22166\n88238 100000\n78185 100000\n99500 100000\n82688 100000\n66939 100000\n23990 36005\n4438 6682\n26824 40225\n73558 100000\n44112 66157\n4087 6149\n24779 37177\n68312 100000\n92570 100000\n46330 69465\n24512 36779\n57068 85586\n16518 24838\n41397 62091\n58257 87379\n14541 21863\n9781 14678\n65023 97524\n87774 100000\n15286 23003\n83251 100000\n50722 76040\n48318 72405\n45383 68070\n30309 45452\n13023 19556\n94104 100000\n6834 10272\n29701 44536\n5774 8675\n29617 44408\n11722 17595\n33482 50207\n46589 69840\n17382 26130\n4567 6875\n443 677\n88908 100000\n75740 100000\n82429 100000\n24117 36196\n20351 30597\n50065 75041\n54122 81119\n57560 86330\n77432 100000\n3603 5423\n62693 94053\n11867 17812\n84806 100000\n67603 100000\n34907 52361\n55792 83679\n53463 80137\n46764 70100\n27232 40824\n8465 12703\n61951 92940\n89088 100000\n60028 90066\n69861 100000\n8168 12264\n67877 100000\n91799 100000\n85519 100000\n85635 100000\n66562 99854\n39863 59768\n59844 89789\n20628 30999\n72477 100000\n83849 100000\n1332 2021\n22619 33951\n69968 100000\n17422 26184\n29867 44786\n20507 30820\n70911 100000\n36200 54269\n83911 100000\n25923 38895\n39679 59499\n17777 26711\n19968 30022\n54546 81773\n28717 43071\n27104 40633\n43445 65174\n2523 3802\n57878 86798\n2966 4478\n44852 67265\n41471 62204\n64968 97445\n75733 100000\n30846 46288\n23867 35810\n50287 75386\n66553 99842\n90930 100000\n27511 41256\n23229 34862\n93305 100000\n7969 11970\n72906 100000\n47539 71243\n19007 28582\n47665 71436\n94701 100000\n92252 100000\n38163 57229\n65338 98005\n82714 100000\n85734 100000\n41998 62998\n34368 51539\n63684 95503\n44296 66433\n1783 2685\n4292 6462\n25404 38117\n30611 45929\n71734 100000\n57040 85546\n1917 2883\n63488 95215\n38428 57625\n73390 100000\n82213 100000\n31470 47216\n86642 100000\n42074 63107\n62098 93147\n9756 14640\n90696 100000\n14116 21228\n83197 100000\n12709 19070\n46781 70124\n21217 31889\n1885 2838\n84271 100000\n48520 72715\n44039 66053\n89318 100000\n20680 31080\n79309 100000\n45317 67972\n5655 8500\n42138 63204\n9256 13885\n83121 100000\n10855 16285\n62686 94043\n64651 96965\n46304 69424\n15305 23030\n54135 81141\n1843 2775\n21321 32048\n31780 47685\n91082 100000\n42695 64030\n46942 70362\n22186 33320\n75967 100000\n43755 65631\n43729 65595\n54387 81530\n84308 100000\n31456 47196\n46359 69502\n65435 98154\n71399 100000\n29397 44095\n192 294\n13750 20668\n94740 100000\n96687 100000\n72551 100000\n54198 81231\n39940 59885\n89631 100000\n93924 100000\n27127 40666\n20815 31291\n63968 95922\n48984 73419\n32662 48991\n64088 96115\n86201 100000\n68944 100000\n59382 89068\n1143 1728\n54073 81044\n29337 44009\n31401 47114\n63751 95595\n65980 98982\n93777 100000\n13520 20315\n87992 100000\n6500 9781\n9273 13910\n46235 69321\n15801 23764\n90024 100000\n26361 39549\n25666 38495\n52399 78531\n44405 66597\n97432 100000\n72788 100000\n16420 24687\n91479 100000\n78170 100000\n3729 5619\n8989 13479\n11518 17288\n73998 100000\n74603 100000\n30430 45649\n20742 31173\n19908 29929\n24403 36624\n93701 100000\n61027 91553\n44489 66722\n38222 57317\n83120 100000\n45348 68017\n86413 100000\n69179 100000\n60926 91404\n26427 39647\n2276 3422\n61318 91986\n31205 46839\n56377 84557\n17866 26841\n65450 98175\n78018 100000\n75246 100000\n57205 85791\n90960 100000\n92563 100000\n71854 100000\n70168 100000\n81622 100000\n5589 8403\n31797 47708\n86532 100000\n76200 100000\n62349 93541\n85808 100000\n57867 86779\n10906 16361\n76556 100000\n15968 24009\n6687 10059\n74493 100000\n75579 100000\n57983 86958\n46080 69098\n35733 53572\n38740 58090\n18602 27956\n851 1294\n97667 100000\n43814 65715\n42897 64335\n50742 76074\n20612 30975\n71148 100000\n16274 24467\n42179 63269\n11874 17823\n30475 45717\n51509 77197\n58427 87644\n15449 23249\n10191 15298\n43232 64840\n94120 100000\n74413 100000\n22858 34302\n22852 34290\n29188 43769\n34146 51201\n9154 13723\n83892 100000\n50865 76257\n79031 100000\n4986 7502\n70886 100000\n21943 32961\n75260 100000\n17991 27027\n27332 40971\n97578 100000\n64045 96050\n6841 10286\n22741 34129\n57706 86547\n25326 38002\n77743 100000\n61222 91841\n55006 82479\n5063 7616\n44636 66943\n24385 36596\n60325 90504\n25921 38892\n74814 100000\n87473 100000\n51276 76869\n71345 100000\n45432 68138\n11663 17504\n23953 35945\n85693 100000\n18625 27989\n40575 60849\n94448 100000\n34560 51829\n26108 39173\n42366 63545\n87463 100000\n36731 55084\n46336 69472\n5440 8176\n72498 100000\n14654 22041\n33472 50189\n91376 100000\n27353 41006\n31926 47899\n24523 36794\n74956 100000\n375 575\n6881 10343\n84458 100000\n7529 11317\n23731 35607\n56013 84006\n64213 96309\n38896 58317\n49170 73699\n32995 49486\n22351 33550\n62160 93240\n23853 35792\n12572 18864\n36011 53989\n82468 100000\n1590 2399\n17967 26991\n26502 39756\n27096 40621\n47789 71620\n83182 100000\n78651 100000\n28881 43321\n93263 100000\n29592 44372\n35112 52659\n84610 100000\n31883 47837\n75457 100000\n75947 100000\n87405 100000\n28481 42719\n67790 100000\n48885 73272\n640 977\n39152 58683\n92696 100000\n68897 100000\n79510 100000\n1288 1951\n62201 93308\n66492 99754\n95933 100000\n14552 21878\n41097 61637\n22962 34457\n27552 41315\n10604 15904\n8158 12249\n27278 40893\n39787 59657\n94073 100000\n56544 84808\n10237 15366\n50252 75331\n14356 21586\n45397 68091\n84676 100000\n23532 35307\n29878 44806\n95600 100000\n31535 47314\n26576 39870\n62490 93752\n22645 33994\n95772 100000\n92215 100000\n18269 27446\n16276 24470\n80360 100000\n95100 100000\n1775 2671\n5004 7526\n10856 16286\n52601 78834\n78511 100000\n26940 40390\n89458 100000\n97749 100000\n93193 100000\n74220 100000\n23590 35397\n73969 100000\n28141 42200\n15628 23516\n46529 69752\n76370 100000\n45688 68522\n83162 100000\n61356 92044\n43093 64629\n98944 100000\n9111 13657\n74496 100000\n59949 89949\n97743 100000\n40512 60751\n41750 62627\n55609 83402\n68257 100000\n34969 52448\n81951 100000\n62241 93370\n22626 33963\n96951 100000\n84149 100000\n62361 93558\n47980 71902\n79449 100000\n64474 96697\n91699 100000\n23927 35901\n36797 55190\n32706 49061\n80614 100000\n1199 1815\n6633 9981\n35044 52559\n41597 62391\n66837 100000\n85041 100000\n58734 88094\n45278 67913\n37510 56241\n23536 35313\n15260 22961\n92327 100000\n44631 66937\n1827 2747\n49465 74138\n4243 6387\n75152 100000\n10004 15015\n32416 48634\n86804 100000\n11058 16595\n22818 34243\n31365 47061\n84599 100000\n27856 41780\n10904 16357\n63334 94990\n83929 100000\n14794 22259\n18677 28074\n59852 89801\n35766 53620\n57911 86849\n5312 7988\n29160 43731\n64570 96842\n35051 52568\n15803 23767\n54639 81907\n1454 2201\n30190 45278\n67597 100000\n74622 100000\n86261 100000\n89073 100000\n37491 56213\n59829 89768\n88483 100000\n23661 35499\n15188 22852\n7426 11158\n94153 100000\n3921 5903\n46207 69279\n27728 41583\n27403 41087\n90327 100000\n84742 100000\n83250 100000\n73569 100000\n84395 100000\n26352 39537\n70745 100000\n78281 100000\n40960 61428\n28169 42244\n54257 81317\n91884 100000\n3905 5878\n66102 99170\n37995 56973\n47790 71621\n54003 80938\n15706 23628\n17903 26898\n55611 83405\n28797 43194\n58047 87057\n70042 100000\n36156 54202\n62205 93314\n79505 100000\n3922 5905\n94970 100000\n29909 44848\n57461 86187\n42008 63014\n7968 11969\n32096 48159\n66819 100000\n23886 35841\n95845 100000\n79450 100000\n61130 91704\n27141 40688\n68736 100000\n6021 9050\n77462 100000\n51294 76891\n37237 55834\n59326 88986\n30686 46045\n57846 86748\n58578 87859\n72514 100000\n28003 41997\n30145 45207\n98065 100000\n83404 100000\n28283 42414\n70426 100000\n95324 100000\n25970 38961\n84075 100000\n4373 6585\n44384 66568\n45052 67569\n92521 100000\n12943 19428\n67698 100000\n17261 25944\n27194 40766\n92925 100000\n54760 82098\n86729 100000\n6737 10132\n34474 51704\n63725 95561\n70930 100000\n84825 100000\n69537 100000\n63205 94802\n86864 100000\n75799 100000\n24217 36341\n49221 73773\n90597 100000\n58166 87240\n57602 86390\n15752 23694\n1010 1530\n31758 47653\n61976 92977\n77179 100000\n95145 100000\n62072 93112\n6010 9036\n39651 59457\n35050 52566\n10860 16292\n84335 100000\n41936 62912\n77082 100000\n11903 17872\n37158 55713\n55349 83001\n64971 97450\n94791 100000\n27059 40564\n6304 9495\n68272 100000\n9335 14007\n13778 20712\n50915 76333\n19045 28636\n11322 16996\n37143 55691\n24404 36625\n11530 17307\n31559 47353\n32666 48999\n36244 54338\n39510 59241\n67443 100000\n99470 100000\n45018 67513\n48499 72681\n14155 21287\n97850 100000\n73669 100000\n564 863\n65493 98238\n10042 15071\n39532 59273\n97689 100000\n63081 94635\n61107 91670\n5257 7902\n78549 100000\n89515 100000\n14399 21649\n47972 71891\n53594 80323\n11398 17108\n76346 100000\n98394 100000\n9678 14520\n86653 100000\n77596 100000\n40726 61073\n24827 37253\n69112 100000\n33995 50975\n75189 100000\n76894 100000\n54996 82461\n18535 27854\n40518 60758\n82372 100000\n81170 100000\n75941 100000\n10640 15959\n57120 85661\n45478 68211\n46124 69162\n98741 100000\n10195 15304\n5227 7861\n73234 100000\n46883 70271\n48305 72386\n93327 100000\n24809 37225\n7130 10723\n7197 10823\n31409 47125\n98948 100000\n74304 100000\n9526 14291\n30966 46479\n99769 100000\n20873 31376\n28580 42862\n33466 50181\n6936 10422\n82804 100000\n36154 54199\n50344 75470\n21518 32341\n10958 16435\n45988 68956\n87161 100000\n56555 84825\n68782 100000\n15216 22891\n64460 96675\n42982 64463\n71582 100000\n88772 100000\n30474 45715\n20691 31095\n22678 34041\n87116 100000\n93702 100000\n6685 10056\n11576 17374\n58723 88078\n66117 99197\n58261 87385\n89988 100000\n67004 100000\n94606 100000\n54057 81023\n75061 100000\n28883 43324\n13855 20827\n48889 73278\n10491 15742\n43239 64854\n48494 72673\n22458 33710\n9746 14625\n94572 100000\n98985 100000\n61672 92510\n94771 100000\n43317 64976\n67077 100000\n74248 100000\n6107 9187\n11143 16722\n76734 100000\n42469 63701\n52376 78494\n57710 86554\n25293 37952\n88551 100000\n83875 100000\n66143 99235\n15040 22626\n37612 56400\n94539 100000\n80620 100000\n10821 16232\n3508 5285\n89439 100000\n84882 100000\n94798 100000\n82617 100000\n50725 76045\n92677 100000\n77753 100000\n3285 4957\n5420 8145\n57139 85690\n47034 70503\n10438 15667\n78250 100000\n23153 34750\n58372 87562\n14106 21213\n72137 100000\n7120 10708\n98393 100000\n33969 50938\n55142 82694\n44990 67467\n12788 19188\n89717 100000\n66524 99802\n76844 100000\n56501 84742\n83130 100000\n28878 43316\n95135 100000\n2089 3134\n82869 100000\n73125 100000\n15763 23709\n12967 19462\n62178 93269\n99640 100000\n84979 100000\n71251 100000\n15846 23827\n36456 54663\n50159 75185\n12584 18882\n14826 22305\n41293 61939\n4603 6929\n54188 81217\n82762 100000\n7451 11196\n43891 65826\n16969 25500\n6038 9080\n70167 100000\n82097 100000\n68700 100000\n45479 68212\n41022 61519\n46242 69331\n57441 86157\n57790 86673\n46517 69734\n96575 100000\n89517 100000\n25182 37792\n26319 39488\n52540 78740\n35628 53417\n2243 3368\n93227 100000\n6600 9927\n98412 100000\n67507 100000\n91171 100000\n45468 68193\n65520 98280\n61178 91778\n95840 100000\n19127 28760\n11480 17232\n49744 74571\n54773 82117\n33834 50740\n40664 60978\n82587 100000\n6917 10394\n52621 78861\n1308 1982\n78697 100000\n52699 78979\n2988 4512\n35109 52654\n45238 67850\n53251 79819\n93509 100000\n16342 24569\n8807 13215\n56832 85233\n29938 44896\n25959 38947\n69621 100000\n75922 100000\n48162 72172\n60809 91223\n87392 100000\n33159 49726\n95964 100000\n2191 3295\n21727 32639\n92108 100000\n68796 100000\n58316 87474\n45193 67781\n65536 98305\n53380 80014\n80769 100000\n86223 100000\n34786 52173\n13894 20887\n95868 100000\n23698 35554\n45990 68958\n99116 100000\n93334 100000\n9305 13962\n80402 100000\n27587 41366\n18471 27750\n52674 78946\n21148 31785\n17092 25680\n20685 31087\n46126 69165\n40323 60462\n16071 24163\n51676 77444\n71475 100000\n30643 45983\n47423 71075\n83183 100000\n71990 100000\n33083 49616\n54356 81474\n26744 40106\n75587 100000\n58696 88034\n96629 100000\n49567 74298\n49115 73618\n8090 12146\n58254 87376\n63378 95055\n63873 95786\n87588 100000\n66763 100000\n77848 100000\n23089 34654\n10759 16136\n30272 45400\n99285 100000\n48666 72938\n82102 100000\n35294 52924\n69465 100000\n659 1004\n99047 100000\n76336 100000\n27979 41963\n35201 52791\n97438 100000\n165 253\n88585 100000\n1453 2199\n59991 90012\n6525 9817\n5603 8425\n40700 61029\n5414 8136\n77501 100000\n76720 100000\n41416 62122\n80599 100000\n23620 35436\n28754 43133\n29891 44825\n81847 100000\n56254 84372\n67439 100000\n68701 100000\n93382 100000\n9259 13890\n97479 100000\n97392 100000\n60033 90074\n75754 100000\n8116 12188\n86633 100000\n57765 86634\n71236 100000\n25030 37559\n3618 5447\n7258 10913\n34624 51927\n86463 100000\n54305 81395\n26660 39994\n15064 22668\n41719 62580\n78272 100000\n52507 78691\n25552 38329\n32840 49258\n14064 21149\n38425 57621\n87640 100000\n97362 100000\n66727 100000\n74766 100000\n92634 100000\n82879 100000\n6286 9468\n36383 54556\n27145 40695\n21785 32727\n39127 58647\n82267 100000\n53357 79982\n47295 70894\n73712 100000\n54624 81884\n28483 42723\n47401 71046\n32340 48520\n97863 100000\n38091 57118\n38210 57299\n20970 31524\n39372 59031\n75806 100000\n57438 86153\n8649 12976\n77688 100000\n48482 72658\n446 681\n54947 82381\n77832 100000\n39836 59730\n62616 93940\n51809 77646\n91487 100000\n45364 68041\n63789 95655\n62607 93925\n78128 100000\n85246 100000\n64557 96821\n26859 40275\n56605 84900\n92341 100000\n17633 26491\n38732 58080\n12050 18092\n44757 67126\n62660 94003\n55738 83594\n24309 36478\n32428 48654\n75222 100000\n76573 100000\n7308 10984\n69543 100000\n99604 100000\n60351 90541\n68936 100000\n82224 100000\n6859 10309\n45476 68209\n55369 83032\n91023 100000\n95965 100000\n99051 100000\n51107 76619\n86872 100000\n27688 41516\n88842 100000\n67078 100000\n4933 7421\n81447 100000\n65396 98097\n23504 35268\n52693 78970\n27117 40652\n11785 17692\n18683 28084\n49363 73982\n37524 56261\n59025 88530\n63099 94661\n98911 100000\n7404 11125\n86583 100000\n48514 72706\n37506 56234\n11743 17625\n80724 100000\n42779 64159\n45279 67915\n19031 28615\n52715 79005\n96490 100000\n91965 100000\n77495 100000\n65107 97652\n55245 82844\n46115 69148\n19620 29501\n51638 77384\n88765 100000\n83910 100000\n22904 34370\n38073 57091\n75683 100000\n32471 48714\n62085 93130\n39354 59004\n2343 3525\n59925 89910\n93881 100000\n23240 34876\n77451 100000\n22931 34411\n76407 100000\n86599 100000\n81017 100000\n15800 23762\n96754 100000\n70435 100000\n67967 100000\n13627 20479\n33434 50135\n90169 100000\n86464 100000\n51191 76744\n14836 22320\n29266 43893\n63101 94665\n32678 49017\n9357 14039\n7280 10945\n34216 51306\n50987 76435\n61055 91592\n36546 54792\n97253 100000\n43559 65341\n33943 50899\n16523 24845\n53527 80228\n66259 99404\n32712 49072\n4498 6766\n59075 88605\n54067 81036\n86847 100000\n44885 67317\n32406 48620\n12652 18989\n52915 79306\n19946 29987\n18430 27689\n71227 100000\n4100 6169\n19201 28867\n16542 24873\n10589 15884\n79111 100000\n24903 37362\n93314 100000\n32427 48653\n24880 37331\n31079 46646\n53312 79918\n49635 74400\n34846 52267\n30495 45747\n56793 85172\n28520 42774\n59666 89516\n93866 100000\n96052 100000\n92467 100000\n17650 26517\n96711 100000\n78188 100000\n10320 15492\n46195 69263\n34812 52214\n79961 100000\n88276 100000\n44720 67071\n94532 100000\n89220 100000\n43645 65465\n36511 54742\n41505 62255\n77271 100000\n37692 56519\n7608 11433\n11955 17943\n6479 9748\n43966 65945\n31439 47170\n73581 100000\n30162 45234\n83736 100000\n95818 100000\n92911 100000\n48071 72034\n65313 97965\n91595 100000\n40669 60985\n62676 94030\n43243 64861\n26881 40305\n58774 88155\n70553 100000\n1431 2167\n91018 100000\n10413 15626\n60774 91171\n29511 44260\n62095 93143\n74256 100000\n67053 100000\n3300 4981\n86378 100000\n27065 40575\n34550 51816\n91037 100000\n87 136\n42578 63862\n44765 67137\n41103 61644\n77771 100000\n61000 91512\n71136 100000\n31114 46695\n72181 100000\n21019 31601\n6309 9504\n29823 44722\n59238 88852\n7710 11581\n91350 100000\n1415 2140\n69328 100000\n18589 27936\n31998 48012\n72178 100000\n24292 36454\n31957 47947\n54677 81969\n22000 33043\n73942 100000\n2193 3297\n90010 100000\n50361 75500\n15200 22870\n97404 100000\n66067 99119\n76069 100000\n71590 100000\n36396 54574\n73185 100000\n76538 100000\n98261 100000\n47206 70762\n51070 76562\n95870 100000\n74606 100000\n4370 6581\n79113 100000\n90734 100000\n78473 100000\n88396 100000\n40839 61251\n55577 83350\n44722 67074\n70232 100000\n75513 100000\n38300 57437\n16010 24072\n44839 67244\n97331 100000\n23110 34684\n30793 46215\n21633 32503\n69835 100000\n75004 100000\n40026 60014\n57463 86190\n96679 100000\n2379 3578\n11433 17161\n96205 100000\n43068 64591\n43943 65910\n17181 25824\n57457 86181\n60234 90362\n83884 100000\n49161 73686\n46613 69878\n83605 100000\n26083 39135\n37924 56866\n51974 77897\n169 259\n55490 83216\n91801 100000\n72088 100000\n72715 100000\n7029 10571\n84507 100000\n77324 100000\n4149 6244\n38004 56986\n40475 60698\n17219 25878\n48888 73276\n80220 100000\n16496 24809\n52857 79221\n39386 59052\n96594 100000\n61936 92915\n66550 99838\n28841 43262\n87018 100000\n75819 100000\n63110 94677\n17518 26322\n10073 15117\n89750 100000\n45197 67785\n7221 10860\n82431 100000\n39338 58983\n52326 78419\n14912 22432\n79120 100000\n53323 79934\n95902 100000\n46729 70045\n736 1122\n3917 5898\n64774 97148\n13792 20729\n4399 6624\n78102 100000\n11703 17571\n87815 100000\n67577 100000\n88103 100000\n33800 50691\n30307 45449\n86995 100000\n79964 100000\n11504 17266\n64035 96035\n2789 4208\n3422 5165\n64309 96452\n401 615\n62420 93649\n42562 63839\n15254 22952\n39705 59540\n54631 81894\n11086 16640\n38823 58209\n65274 97902\n5717 8591\n77321 100000\n15169 22824\n19832 29817\n92857 100000\n42280 63420\n84005 100000\n19433 29220\n89354 100000\n93798 100000\n48637 72900\n49375 74002\n87882 100000\n80928 100000\n48869 73250\n70404 100000\n73379 100000\n89954 100000\n57622 86424\n2074 3115\n44069 66092\n66898 100000\n89170 100000\n67162 100000\n98011 100000\n11448 17185\n31946 47929\n45799 68679\n67906 100000\n81032 100000\n42206 63312\n84690 100000\n29123 43675\n80443 100000\n53028 79476\n35233 52835\n58938 88400\n13930 20946\n98923 100000\n98138 100000\n67200 100000\n4463 6717\n91352 100000\n40785 61169\n77468 100000\n16837 25309\n77699 100000\n69462 100000\n14212 21371\n85771 100000\n31424 47149\n41109 61653\n64659 96977\n18627 27993\n25823 38744\n9312 13974\n29489 44227\n32454 48689\n48152 72158\n38329 57477\n75159 100000\n37450 56150\n66462 99712\n99371 100000\n75024 100000\n79928 100000\n63788 95653\n26230 39355\n17490 26283\n83670 100000\n79648 100000\n863 1312\n75458 100000\n26418 39633\n54327 81427\n32177 48273\n67795 100000\n97037 100000\n1425 2157\n83289 100000\n58193 87280\n64829 97229\n66148 99241\n53675 80443\n78239 100000\n47767 71583\n11142 16721\n75368 100000\n69399 100000\n40793 61182\n42664 63984\n11826 17752\n10203 15314\n92648 100000\n622 953\n87761 100000\n73508 100000\n34404 51594\n61388 92091\n5102 7676\n63759 95605\n36676 54993\n75011 100000\n35040 52554\n69340 100000\n38943 58381\n25171 37775\n67905 100000\n11063 16604\n36476 54693\n26595 39898\n85012 100000\n62435 93670\n42162 63242\n30592 45900\n3315 5004\n28774 43162\n83319 100000\n32128 48207\n48173 72188\n43432 65150\n1352 2049\n65516 98274\n95413 100000\n96138 100000\n13564 20377\n52740 79042\n33801 50692\n21298 32012\n67445 100000\n64504 96738\n1756 2645\n92396 100000\n13186 19806\n95151 100000\n56708 85049\n45163 67737\n37602 56382\n86584 100000\n14501 21799\n21227 31905\n58326 87488\n29004 43505\n17476 26263\n15115 22747\n62677 94032\n51975 77899\n53904 80793\n42318 63475\n11947 17931\n42535 63798\n5386 8098\n7357 11058\n81872 100000\n8719 13082\n9789 14690\n95803 100000\n61907 92870\n81986 100000\n96860 100000\n31485 47239\n80071 100000\n22508 33785\n6135 9232\n98936 100000\n17007 25553\n16916 25424\n45492 68232\n285 437\n88768 100000\n57007 85500\n63928 95869\n30113 45157\n11263 16902\n81235 100000\n59022 88524\n86286 100000\n53822 80666\n43644 65464\n33960 50925\n48586 72819\n72561 100000\n12470 18713\n33691 50519\n5943 8932\n98829 100000\n62719 94092\n64068 96086\n32435 48662\n52219 78263\n72509 100000\n18901 28424\n30064 45078\n23688 35539\n21049 31642\n44714 67062\n10780 16167\n14594 21942\n6265 9434\n26376 39571\n1988 2989\n79884 100000\n83841 100000\n74943 100000\n16094 24197\n58999 88490\n18327 27535\n9649 14475\n71106 100000\n55749 83613\n83733 100000\n80327 100000\n30378 45562\n8068 12111\n52266 78329\n40967 61438\n26021 39038\n13139 19727\n60768 91161\n32813 49218\n48256 72310\n55979 83949\n2077 3119\n50127 75135\n43527 65294\n74676 100000\n92965 100000\n47757 71571\n52197 78227\n96345 100000\n75887 100000\n68678 100000\n9385 14078\n54960 82401\n72886 100000\n62519 93797\n29530 44286\n89846 100000\n60814 91230\n20584 30929\n58036 87039\n29822 44721\n866 1316\n14056 21136\n48602 72844\n20826 31308\n59147 88715\n391 600\n80993 100000\n16756 25190\n85316 100000\n19172 28825\n54903 82314\n65784 98686\n56867 85282\n56666 84987\n55211 82797\n63876 95791\n8708 13067\n75876 100000\n22240 33391\n41799 62705\n68483 100000\n41951 62934\n11326 17002\n72059 100000\n54033 80984\n29099 43637\n32649 48971\n6331 9539\n73447 100000\n34196 51276\n8361 12553\n1419 2147\n26006 39016\n40375 60543\n33814 50711\n79187 100000\n80953 100000\n34372 51544\n90791 100000\n38530 57784\n47293 70891\n53040 79496\n58729 88087\n70308 100000\n68304 100000\n83008 100000\n71639 100000\n5286 7947\n22689 34056\n54379 81515\n62027 93048\n63040 94569\n86225 100000\n68189 100000\n82518 100000\n47603 71340\n77953 100000\n21545 32380\n21133 31763\n24547 36830\n38225 57322\n51150 76683\n89083 100000\n15013 22587\n21170 31817\n26793 40183\n24510 36776\n17366 26104\n7757 11657\n42551 63820\n28663 42991\n51598 77327\n79190 100000\n23041 34576\n46044 69048\n28054 42073\n94172 100000\n37414 56097\n19395 29161\n54992 82454\n72967 100000\n22033 33091\n67781 100000\n54232 81281\n39526 59263\n14085 21181\n43862 65781\n58454 87688\n87653 100000\n27201 40775\n51977 77902\n6410 9660\n7316 10998\n19956 30003\n37035 55533\n59565 89356\n372 571\n81495 100000\n36784 55169\n14128 21245\n40481 60706\n76429 100000\n80183 100000\n71642 100000\n23831 35755\n21399 32161\n57952 86910\n11695 17558\n1358 2058\n4024 6044\n21349 32088\n99896 100000\n5510 8277\n50239 75308\n5762 8655\n17340 26066\n4492 6756\n49020 73473\n42598 63894\n28097 42137\n2472 3721\n21076 31680\n90145 100000\n22602 33926\n45538 68303\n40229 60324\n38605 57890\n2296 3451\n86885 100000\n46386 69541\n54463 81650\n31907 47871\n33372 50038\n28142 42201\n93490 100000\n42838 64250\n85980 100000\n19707 29632\n71939 100000\n26099 39160\n15707 23629\n74610 100000\n65896 98859\n88584 100000\n8633 12954\n27783 41667\n60405 90624\n64330 96481\n84133 100000\n43673 65509\n66874 100000\n46941 70361\n14074 21164\n49086 73570\n16040 24117\n65958 98951\n10290 15448\n82074 100000\n93450 100000\n98253 100000\n52192 78222\n71030 100000\n57872 86787\n46378 69531\n95414 100000\n86092 100000\n97762 100000\n87928 100000\n26429 39650\n13256 19908\n84485 100000\n14099 21202\n69952 100000\n57033 85536\n90970 100000\n39529 59268\n95127 100000\n54152 81165\n37396 56068\n25519 38282\n34640 51951\n95726 100000\n26831 40235\n62468 93719\n87362 100000\n84359 100000\n44468 66686\n1500 2270\n10730 16092\n85971 100000\n94317 100000\n2748 4144\n4266 6419\n6951 10448\n16691 25100\n98356 100000\n65219 97822\n76565 100000\n1819 2736\n86080 100000\n10452 15686\n1786 2691\n68227 100000\n16277 24471\n32801 49201\n82820 100000\n4119 6200\n1790 2697\n40358 60515\n71506 100000\n22304 33483\n92415 100000\n99460 100000\n37888 56811\n52801 79132\n26707 40056\n23872 35817\n77040 100000\n43119 64674\n56338 84496\n9186 13771\n99920 100000\n71756 100000\n52181 78205\n70535 100000\n22876 34328\n6530 9823\n20506 30818\n38465 57682\n29371 44059\n64222 96323\n8798 13200\n41748 62624\n93165 100000\n52060 78031\n31551 47340\n13814 20768\n25590 38382\n51168 76708\n9865 14806\n69012 100000\n22823 34252\n98335 100000\n59016 88515\n47683 71461\n27939 41905\n46693 69990\n48475 72645\n65866 98808\n2825 4263\n97727 100000\n68295 100000\n65878 98830\n38724 58068\n56902 85333\n22768 34170\n31193 46817\n69674 100000\n87339 100000\n2071 3110\n28160 42227\n18838 28327\n45005 67492\n6377 9610\n66358 99553\n84677 100000\n38173 57246\n9167 13743\n41622 62428\n37820 56710\n54024 80969\n44354 66522\n23513 35283\n71419 100000\n46814 70170\n30073 45091\n46409 69576\n25536 38305\n43429 65145\n21284 31990\n16254 24440\n59619 89441\n21169 31815\n10428 15652\n84529 100000\n83985 100000\n38442 57648\n95510 100000\n59819 89755\n63408 95094\n92644 100000\n40095 60118\n51436 77097\n87946 100000\n64115 96155\n50684 75984\n321 490\n99024 100000\n7981 11987\n36978 55446\n80692 100000\n77802 100000\n31464 47207\n62152 93226\n68479 100000\n13415 20150\n86585 100000\n48252 72303\n5998 9017\n65560 98342\n6619 9957\n6489 9765\n7239 10884\n45766 68632\n77478 100000\n26229 39354\n23115 34693\n31691 47552\n71732 100000\n41552 62327\n68263 100000\n41868 62813\n57746 86607\n21186 31842\n33886 50820\n15277 22991\n83257 100000\n99218 100000\n6303 9493\n97954 100000\n22238 33388\n26637 39964\n61263 91898\n15553 23403\n35607 53384\n19022 28602\n57798 86684\n78064 100000\n30010 45000\n54042 80997\n38255 57367\n16078 24173\n19767 29723\n3661 5515\n23034 34563\n96569 100000\n53869 80736\n42463 63691\n85021 100000\n60228 90355\n56036 84039\n12524 18788\n77919 100000\n58084 87115\n95203 100000\n55411 83091\n20664 31052\n48492 72671\n70248 100000\n41470 62202\n16029 24102\n58744 88110\n59130 88688\n10902 16354\n14957 22497\n54048 81008\n31248 46894\n29725 44571\n91696 100000\n60815 91231\n61022 91546\n47689 71471\n78231 100000\n45938 68882\n60175 90281\n8175 12274\n12157 18248\n16374 24619\n77252 100000\n14218 21382\n28798 43195\n79835 100000\n6601 9929\n26166 39257\n30935 46430\n27038 40533\n97480 100000\n52080 78061\n55984 83956\n8824 13240\n42130 63193\n32900 49345\n12661 19001\n42189 63287\n66788 100000\n32972 49452\n36630 54927\n35582 53349\n7124 10714\n98778 100000\n64572 96844\n83316 100000\n61287 91937\n26507 39764\n10988 16485\n26858 40274\n5715 8589\n15631 23521\n83422 100000\n70155 100000\n91512 100000\n17819 26774\n92882 100000\n29695 44526\n72821 100000\n40578 60852\n49431 74085\n81428 100000\n38327 57475\n1485 2249\n41795 62697\n70528 100000\n74407 100000\n11190 16791\n32219 48334\n78510 100000\n73309 100000\n48695 72987\n769 1171\n31813 47733\n74672 100000\n38991 58451\n15335 23075\n16977 25512\n2149 3225\n79227 100000\n74298 100000\n90641 100000\n1282 1943\n7978 11983\n51030 76501\n78878 100000\n2623 3953\n69115 100000\n63619 95410\n29840 44747\n13462 20226\n52122 78118\n19026 28608\n39335 58977\n75171 100000\n6711 10096\n11067 16610\n68792 100000\n16173 24314\n12836 19261\n59221 88826\n81275 100000\n51019 76484\n26178 39276\n88141 100000\n58462 87699\n85876 100000\n40937 61395\n52935 79336\n25272 37923\n48361 72471\n74166 100000\n83688 100000\n97615 100000\n32033 48062\n24837 37268\n81243 100000\n24341 36531\n89640 100000\n87453 100000\n10595 15893\n32159 48249\n30651 45993\n32302 48459\n23580 35382\n56081 84105\n4404 6630\n25478 38226\n94498 100000\n87131 100000\n30794 46216\n83912 100000\n6520 9810\n93934 100000\n75688 100000\n50209 75263\n25535 38303\n32417 48636\n98268 100000\n73529 100000\n35334 52983\n71009 100000\n97151 100000\n82279 100000\n29461 44183\n96078 100000\n99023 100000\n87319 100000\n61726 92587\n85257 100000\n33725 50573\n99501 100000\n9884 14836\n91846 100000\n92345 100000\n84814 100000\n87398 100000\n89394 100000\n7071 10633\n35381 53053\n41441 62158\n38317 57461\n46380 69533\n90495 100000\n94734 100000\n59152 88723\n39737 59583\n47771 71588\n8040 12068\n10227 15351\n25385 38087\n66962 100000\n93427 100000\n29884 44814\n25318 37989\n52545 78747\n18217 27372\n6572 9883\n41187 61773\n36372 54540\n94903 100000\n56257 84377\n64006 95987\n8359 12551\n35647 53445\n65559 98341\n89050 100000\n43716 65575\n72126 100000\n20528 30848\n14409 21663\n79289 100000\n38064 57078\n81531 100000\n15345 23090\n1946 2927\n18635 28006\n5287 7948\n66635 99962\n16881 25372\n25623 38432\n93272 100000\n69954 100000\n30505 45762\n92449 100000\n64789 97171\n37756 56612\n62814 94237\n58469 87707\n60961 91455\n78758 100000\n88977 100000\n33563 50330\n35555 53310\n37436 56130\n81519 100000\n34304 51436\n99561 100000\n42010 63017\n58958 88433\n26669 40005\n61062 91603\n83704 100000\n62112 93165\n54620 81879\n34345 51500\n61238 91862\n83996 100000\n96780 100000\n98131 100000\n99036 100000\n84531 100000\n94213 100000\n37843 56745\n84907 100000\n5570 8374\n42920 64372\n42832 64239\n10943 16415\n41047 61563\n29919 44866\n61753 92629\n31836 47768\n10165 15258\n21751 32675\n77291 100000\n57057 85570\n58885 88321\n23428 35157\n9431 14145\n86542 100000\n2262 3400\n56800 85184\n66256 99400\n48237 72282\n48235 72279\n60529 90804\n68042 100000\n6658 10015\n15509 23336\n81281 100000\n12717 19083\n51111 76624\n49391 74027\n96104 100000\n76188 100000\n81088 100000\n75032 100000\n57548 86314\n70138 100000\n18160 27283\n15858 23842\n88735 100000\n13475 20245\n64381 96557\n39162 58698\n45706 68547\n81714 100000\n12981 19486\n20377 30634\n18703 28119\n2784 4199\n72516 100000\n86664 100000\n75138 100000\n76944 100000\n10639 15957\n70214 100000\n17891 26878\n7478 11238\n58493 87739\n79976 100000\n42599 63895\n27755 41625\n64718 97069\n54159 81177\n80560 100000\n49091 73578\n1031 1556\n44451 66663\n57760 86627\n49905 74812\n44978 67448\n38696 58028\n42419 63629\n23435 35168\n19673 29578\n1231 1866\n3734 5626\n51362 76991\n78036 100000\n40810 61209\n98272 100000\n14198 21349\n70993 100000\n86743 100000\n21327 32057\n61627 92441\n78645 100000\n99052 100000\n59952 89954\n89680 100000\n65968 98965\n21776 32712\n64583 96862\n86841 100000\n94437 100000\n13217 19853\n15395 23165\n75906 100000\n57528 86283\n3023 4563\n99850 100000\n28670 43000\n56553 84821\n47669 71443\n45784 68656\n66046 99086\n18020 27073\n73697 100000\n15135 22779\n551 844\n18831 28317\n81465 100000\n37862 56771\n65605 98410\n67260 100000\n21364 32109\n46710 70017\n59735 89627\n33988 50964\n86816 100000\n51220 76790\n67176 100000\n16049 24132\n83602 100000\n91107 100000\n69275 100000\n97595 100000\n86331 100000\n31437 47167\n12039 18073\n74370 100000\n5772 8672\n44769 67143\n15003 22574\n87348 100000\n359 554\n12555 18837\n39015 58486\n98005 100000\n34726 52082\n18028 27085\n65550 98329\n77039 100000\n87427 100000\n8134 12214\n33436 50138\n9337 14010\n49869 74764\n54009 80949\n49729 74548\n89203 100000\n2 4\n79022 100000\n65684 98530\n55847 83753\n5910 8884\n23929 35905\n10126 15200\n86735 100000\n15173 22829\n64072 96091\n57337 85998\n54885 82288\n36064 54065\n62547 93838\n23325 35001\n80875 100000\n5364 8068\n69901 100000\n80081 100000\n95950 100000\n74005 100000\n47750 71561\n25794 38700\n91248 100000\n70657 100000\n30079 45102\n81324 100000\n79764 100000\n44142 66209\n34225 51319\n43564 65350\n88420 100000\n28943 43417\n10190 15297\n24300 36467\n94878 100000\n19406 29177\n94512 100000\n87068 100000\n19385 29147\n67030 100000\n32607 48907\n54062 81029\n50659 75948\n16257 24444\n56323 84476\n14922 22446\n16198 24355\n66409 99629\n66679 100000\n42445 63665\n14891 22399\n3118 4703\n54307 81399\n52613 78852\n34324 51467\n90412 100000\n15967 24008\n56152 84212\n63927 95868\n69240 100000\n57617 86414\n43149 64719\n36282 54401\n93938 100000\n11427 17151\n16791 25239\n11880 17833\n71730 100000\n84267 100000\n75788 100000\n55547 83307\n27076 40592\n50635 75912\n84728 100000\n26071 39117\n26769 40146\n10905 16359\n24213 36334\n94031 100000\n64822 97219\n38792 58171\n41323 61985\n60475 90728\n34106 51139\n89831 100000\n92128 100000\n64190 96273\n72555 100000\n33292 49921\n22707 34082\n13035 19572\n66430 99660\n15303 23028\n26386 39585\n38234 57336\n70198 100000\n28874 43310\n2631 3962\n12514 18775\n10578 15865\n84812 100000\n37342 55987\n86784 100000\n68160 100000\n81747 100000\n46763 70098\n28119 42167\n82171 100000\n64904 97344\n30318 45465\n96321 100000\n40141 60190\n9097 13636\n50157 75181\n67537 100000\n66186 99296\n20994 31561\n42027 63040\n17669 26548\n15355 23107\n39508 59237\n49997 74944\n72949 100000\n99599 100000\n17747 26664\n34217 51308\n55325 82965\n58692 88028\n37621 56414\n64512 96751\n78869 100000\n4363 6571\n10729 16091\n67600 100000\n29339 44013\n27133 40677\n24339 36528\n59262 88891\n98933 100000\n50565 75800\n76855 100000\n16086 24184\n33487 50215\n20768 31215\n55897 83828\n47960 71871\n50328 75448\n69130 100000\n37232 55827\n28472 42704\n36129 54163\n96211 100000\n41343 62013\n33396 50075\n2427 3650\n63526 95271\n36073 54080\n37161 55717\n4262 6414\n56654 84970\n94990 100000\n90708 100000\n29715 44559\n73038 100000\n12091 18152\n12104 18168\n13006 19527\n44389 66576\n59695 89562\n36622 54916\n79723 100000\n57900 86831\n33428 50127\n67520 100000\n72538 100000\n50291 75392\n60391 90604\n84804 100000\n20221 30401\n52630 78876\n63543 95292\n50317 75429\n99327 100000\n28263 42383\n31342 47029\n24945 37428\n4681 7047\n27226 40815\n29292 43932\n86777 100000\n86347 100000\n66810 100000\n52828 79175\n67271 100000\n47557 71269\n8197 12308\n20447 30729\n36791 55180\n3120 4706\n78556 100000\n78094 100000\n16 28\n23029 34555\n92819 100000\n34283 51404\n53212 79761\n13422 20162\n88139 100000\n19653 29547\n21766 32698\n87179 100000\n39364 59020\n66234 99370\n26436 39661\n96244 100000\n3825 5758\n2333 3510\n7087 10656\n10275 15426\n31519 47291\n94854 100000\n22972 34472\n37431 56122\n1116 1683\n40760 61127\n22243 33395\n2015 3029\n92497 100000\n32938 49403\n60638 90961\n43441 65168\n79470 100000\n37356 56009\n16727 25151\n24076 36128\n45505 68250\n14693 22103\n86613 100000\n61839 92768\n95042 100000\n89346 100000\n66404 99622\n49133 73643\n10823 16235\n20316 30540\n6350 9569\n27311 40944\n6680 10047\n24749 37131\n67027 100000\n7837 11771\n83612 100000\n45488 68226\n93160 100000\n98106 100000\n32394 48602\n98459 100000\n55028 82515\n40616 60907\n35304 52938\n65874 98823\n13960 20990\n87953 100000\n84058 100000\n64982 97466\n16081 24178\n94543 100000\n60518 90786\n57237 85839\n9191 13780\n67185 100000\n79647 100000\n35369 53034\n33918 50863\n31024 46566\n16831 25301\n76286 100000\n19567 29423\n93694 100000\n55670 83492\n96062 100000\n48991 73431\n80103 100000\n19838 29825\n60045 90092\n12699 19059\n38014 57002\n60466 90716\n79586 100000\n59552 89336\n62406 93625\n50898 76307\n34163 51229\n88463 100000\n64741 97099\n75105 100000\n1291 1955\n94803 100000\n51918 77807\n63157 94740\n75762 100000\n79837 100000\n9622 14438\n98027 100000\n85222 100000\n70574 100000\n36510 54741\n42651 63968\n84118 100000\n68197 100000\n19505 29328\n38806 58187\n42792 64181\n63326 94978\n51053 76535\n94494 100000\n25526 38291\n5802 8721\n42806 64203\n80717 100000\n21070 31672\n64419 96613\n49755 74589\n99766 100000\n70642 100000\n71226 100000\n63167 94752\n72097 100000\n49278 73854\n20940 31479\n55213 82799\n32105 48172\n96952 100000\n19632 29517\n34806 52205\n54938 82368\n59198 88791\n97353 100000\n94733 100000\n48080 72049\n56779 85151\n61898 92857\n51793 77621\n92596 100000\n68347 100000\n29743 44598\n15175 22832\n65681 98526\n44290 66425\n93591 100000\n63988 95955\n74421 100000\n15609 23485\n85067 100000\n3421 5163\n11155 16741\n83865 100000\n3086 4655\n28788 43181\n95211 100000\n95206 100000\n79075 100000\n24726 37096\n37190 55761\n54419 81580\n53539 80247\n52135 78134\n48771 73099\n51705 77487\n10873 16312\n59864 89820\n70088 100000\n56940 85395\n60637 90960\n70492 100000\n46597 69853\n46879 70265\n51020 76485\n9656 14485\n70276 100000\n17397 26149\n57613 86408\n29872 44795\n86837 100000\n813 1235\n68559 100000\n53129 79626\n38340 57491\n53746 80551\n27184 40751\n10921 16385\n66994 100000\n94334 100000\n96399 100000\n3682 5546\n91578 100000\n81639 100000\n65959 98952\n64091 96119\n83711 100000\n13813 20766\n78856 100000\n44362 66533\n50688 75989\n26650 39981\n16607 24972\n88511 100000\n15728 23660\n55875 83794\n32615 48921\n88252 100000\n43092 64628\n16085 24183\n60988 91494\n22884 34341\n83436 100000\n50634 75910\n81689 100000\n43062 64581\n69410 100000\n83993 100000\n54095 81077\n40770 61145\n81735 100000\n50053 75027\n48596 72835\n93768 100000\n48540 72750\n25779 38673\n30737 46123\n15009 22582\n80958 100000\n66258 99402\n56627 84930\n32223 48342\n5397 8112\n65852 98787\n45283 67922\n25784 38682\n66432 99663\n40206 60292\n42177 63266\n78052 100000\n58670 87997\n49390 74026\n50194 75242\n30890 46359\n18655 28038\n24891 37345\n98809 100000\n21941 32959\n62123 93181\n37676 56497\n75117 100000\n68807 100000\n71281 100000\n37778 56650\n27069 40581\n15278 22993\n60951 91440\n68405 100000\n60686 91036\n33898 50836\n42443 63661\n61477 92222\n51284 76879\n6763 10171\n93101 100000\n74207 100000\n89578 100000\n7924 11908\n87531 100000\n37780 56653\n58182 87264\n50022 74980\n51724 77516\n36910 55347\n72025 100000\n52634 78882\n89529 100000\n86554 100000\n5945 8936\n99806 100000\n58042 87049\n41697 62544\n43563 65349\n50653 75939\n74062 100000\n37540 56282\n977 1482\n83824 100000\n89228 100000\n3854 5799\n37488 56208\n26838 40246\n38683 58007\n53772 80588\n13770 20697\n28573 42851\n41198 61789\n77286 100000\n3096 4669\n82774 100000\n91120 100000\n67083 100000\n45854 68761\n12175 18277\n76035 100000\n2614 3940\n97618 100000\n84370 100000\n67649 100000\n96777 100000\n52849 79210\n93862 100000\n11592 17398\n39446 59142\n9165 13739\n60891 91351\n61052 91589\n21991 33029\n63574 95337\n46932 70347\n6100 9175\n49924 74839\n89819 100000\n75400 100000\n47770 71587\n62581 93882\n74742 100000\n14016 21074\n30515 45780\n36438 54634\n24190 36301\n48965 73390\n94273 100000\n82633 100000\n11344 17028\n19820 29799\n43063 64583\n34492 51729\n86097 100000\n94614 100000\n21212 31881\n27767 41642\n9127 13680\n76939 100000\n49043 73510\n61427 92145\n84642 100000\n50957 76393\n75526 100000\n88798 100000\n80552 100000\n26619 39934\n73476 100000\n79856 100000\n61825 92740\n88645 100000\n45911 68847\n31132 46721\n17625 26480\n81512 100000\n77879 100000\n28574 42853\n90050 100000\n30316 45462\n34891 52338\n50071 75050\n91650 100000\n32023 48047\n92199 100000\n60762 91154\n35108 52652\n15051 22647\n68643 100000\n44338 66497\n29682 44507\n58135 87195\n39058 58550\n56402 84597\n18486 27776\n26607 39916\n61321 91990\n2129 3193\n8281 12430\n70720 100000\n91902 100000\n86746 100000\n78923 100000\n24304 36471\n75725 100000\n81737 100000\n39083 58585\n93060 100000\n99863 100000\n10572 15856\n32338 48516\n56314 84463\n85478 100000\n6278 9454\n57629 86434\n74372 100000\n16866 25353\n24569 36862\n39696 59527\n92669 100000\n25603 38402\n47742 71550\n25040 37573\n96405 100000\n61363 92056\n38236 57339\n8129 12206\n43723 65588\n90625 100000\n77154 100000\n69016 100000\n51669 77432\n87557 100000\n27830 41738\n39491 59211\n84521 100000\n44316 66463\n14355 21584\n31037 46588\n53161 79678\n14840 22326\n64569 96840\n31394 47105\n71443 100000\n36803 55197\n93851 100000\n8275 12421\n39248 58843\n10340 15518\n11884 17839\n92423 100000\n49447 74111\n54975 82426\n48953 73375\n37905 56835\n96443 100000\n24714 37078\n17719 26621\n24141 36230\n32612 48915\n58369 87556\n53330 79945\n77812 100000\n52584 78807\n76761 100000\n8303 12463\n24465 36715\n99375 100000\n73953 100000\n28488 42730\n22927 34405\n35914 53848\n52441 78594\n82671 100000\n39402 59072\n73978 100000\n50852 76236\n96006 100000\n30334 45489\n84260 100000\n98826 100000\n60359 90555\n81304 100000\n90938 100000\n55845 83750\n5803 8722\n5496 8257\n63368 95042\n57904 86838\n45814 68702\n37439 56135\n70715 100000\n32624 48934\n79399 100000\n20369 30621\n81680 100000\n46956 70381\n80077 100000\n34549 51814\n79563 100000\n62664 94010\n88880 100000\n23596 35405\n84227 100000\n88406 100000\n34300 51430\n85356 100000\n60025 90061\n86153 100000\n43941 65906\n96418 100000\n50431 75603\n25243 37882\n93872 100000\n18965 28518\n53718 80511\n64529 96778\n7768 11672\n11503 17264\n94101 100000\n25112 37689\n69768 100000\n73088 100000\n29296 43940\n94145 100000\n42062 63092\n87495 100000\n32337 48515\n52525 78719\n72351 100000\n98417 100000\n86253 100000\n85726 100000\n54557 81786\n46355 69497\n53478 80155\n22732 34115\n6153 9259\n24388 36602\n6043 9089\n45845 68747\n22565 33873\n92510 100000\n92340 100000\n72916 100000\n50500 75710\n52401 78533\n69688 100000\n39700 59533\n48199 72224\n5813 8737\n1912 2876\n82965 100000\n76956 100000\n46381 69534\n97266 100000\n95517 100000\n36359 54518\n77585 100000\n28919 43379\n71132 100000\n10772 16154\n32333 48507\n77448 100000\n31446 47181\n12328 18502\n70865 100000\n35471 53193\n87552 100000\n29529 44285\n94953 100000\n23632 35455\n96127 100000\n69274 100000\n57649 86463\n42731 64086\n38983 58439\n49260 73827\n22422 33657\n46670 69960\n84922 100000\n41553 62329\n30345 45507\n85460 100000\n20380 30637\n90395 100000\n68670 100000\n73230 100000\n53491 80175\n12482 18728\n49066 73543\n59514 89281\n48140 72139\n20527 30847\n52925 79321\n94956 100000\n50626 75896\n12701 19061\n96388 100000\n91635 100000\n57499 86241\n20688 31091\n26022 39039\n80241 100000\n96551 100000\n84232 100000\n4995 7513\n53531 80235\n78529 100000\n48212 72244\n48722 73028\n10544 15817\n7936 11926\n28662 42989\n34845 52265\n68885 100000\n92593 100000\n7260 10915\n75299 100000\n26114 39180\n65390 98089\n46276 69380\n23932 35910\n9813 14725\n45550 68320\n60388 90599\n10894 16344\n28439 42651\n28277 42406\n40953 61418\n89387 100000\n90711 100000\n55268 82879\n97462 100000\n91157 100000\n80216 100000\n47190 70736\n96135 100000\n76935 100000\n36534 54777\n98362 100000\n13326 20013\n66257 99401\n12243 18380\n10865 16300\n34988 52477\n79171 100000\n2616 3942\n5868 8824\n2882 4349\n59166 88745\n37574 56336\n56783 85158\n21590 32447\n65682 98527\n68601 100000\n73964 100000\n20240 30427\n83804 100000\n75088 100000\n54082 81059\n53442 80107\n51059 76545\n74586 100000\n57620 86420\n585 898\n58780 88163\n94568 100000\n84666 100000\n89641 100000\n87532 100000\n68277 100000\n49364 73984\n97586 100000\n71025 100000\n35405 53091\n38145 57199\n36301 54428\n84688 100000\n67504 100000\n20214 30394\n68300 100000\n48796 73137\n35749 53596\n7414 11141\n95345 100000\n90790 100000\n54798 82156\n12528 18794\n34296 51424\n2228 3348\n79146 100000\n90426 100000\n30692 46055\n70949 100000\n18293 27484\n28510 42762\n54414 81571\n95396 100000\n31332 47016\n73015 100000\n81139 100000\n45101 67642\n36250 54347\n3417 5156\n61485 92233\n71004 100000\n88492 100000\n35494 53221\n38933 58367\n21021 31603\n57107 85642\n95272 100000\n92370 100000\n91629 100000\n49981 74923\n84778 100000\n89144 100000\n98487 100000\n80569 100000\n81998 100000\n41306 61961\n9086 13619\n77811 100000\n63499 95233\n92955 100000\n63270 94902\n17310 26022\n44440 66649\n99565 100000\n11602 17414\n66037 99072\n59276 88911\n42187 63283\n78393 100000\n33387 50060\n96353 100000\n93896 100000\n95132 100000\n11156 16742\n9511 14267\n18705 28122\n89866 100000\n59984 90002\n95149 100000\n2726 4110\n58063 87083\n33460 50172\n86452 100000\n70669 100000\n63799 95668\n54686 81981\n58935 88395\n70890 100000\n22774 34178\n96153 100000\n10231 15358\n37412 56094\n7917 11898\n31576 47377\n7628 11463\n71697 100000\n48409 72541\n29410 44114\n69920 100000\n20228 30412\n8400 12608\n43919 65872\n63886 95807\n41992 62990\n90134 100000\n13102 19674\n5458 8203\n83536 100000\n98085 100000\n40515 60754\n63080 94633\n96193 100000\n7783 11694\n63882 95800\n43240 64856\n34663 51985\n62485 93742\n92825 100000\n17540 26358\n9454 14177\n67768 100000\n52463 78627\n68276 100000\n54605 81858\n85814 100000\n77787 100000\n68318 100000\n25591 38383\n32323 48490\n77488 100000\n38707 58043\n62962 94451\n52558 78767\n29724 44570\n59306 88955\n87631 100000\n63105 94672\n72613 100000\n17752 26672\n58361 87546\n60122 90208\n90815 100000\n65498 98245\n97436 100000\n48078 72046\n81473 100000\n21879 32870\n80489 100000\n74587 100000\n68054 100000\n29210 43804\n95252 100000\n49627 74386\n79218 100000\n80871 100000\n63906 95838\n42323 63481\n9745 14623\n15782 23735\n23887 35843\n65879 98831\n36888 55312\n6471 9737\n46921 70328\n48728 73037\n16119 24236\n50655 75942\n43534 65306\n42726 64077\n58586 87871\n9452 14174\n76693 100000\n1979 2974\n58991 88478\n75529 100000\n20807 31278\n40363 60523\n22356 33556\n4294 6464\n88593 100000\n78130 100000\n73496 100000\n60376 90578\n73800 100000\n98413 100000\n5632 8466\n96105 100000\n72198 100000\n66470 99724\n36381 54553\n1698 2557\n23291 34953\n53518 80216\n74747 100000\n7720 11597\n29373 44062\n19235 28916\n26082 39133\n61451 92182\n63984 95947\n63463 95177\n80307 100000\n5387 8099\n85359 100000\n79360 100000\n19804 29779\n54602 81853\n4055 6096\n49071 73549\n16548 24882\n38999 58463\n36007 53982\n22406 33631\n46709 70016\n39749 59600\n73785 100000\n10719 16075\n18388 27626\n42241 63367\n65445 98168\n76729 100000\n95018 100000\n2093 3140\n96020 100000\n9482 14222\n57376 86061\n18656 28039\n1064 1608\n11885 17841\n14079 21172\n52261 78321\n9018 13522\n20231 30415\n66557 99847\n32266 48411\n1221 1851\n61050 91587\n39575 59343\n80304 100000\n68600 100000\n14407 21660\n62396 93612\n43526 65292\n12803 19213\n82796 100000\n64601 96888\n27913 41865\n90867 100000\n57255 85869\n55149 82703\n28085 42119\n79191 100000\n82498 100000\n18320 27524\n69627 100000\n84059 100000\n64101 96134\n89176 100000\n44218 66316\n76375 100000\n85241 100000\n63589 95363\n89168 100000\n8032 12057\n44516 66763\n52052 78020\n36370 54537\n10365 15553\n5746 8632\n75217 100000\n25332 38011\n67219 100000\n57126 85670\n345 531\n23046 34585\n58887 88323\n11650 17487\n25864 38803\n3084 4653\n47827 71669\n13559 20371\n17661 26536\n9271 13907\n6030 9065\n66903 100000\n67385 100000\n48307 72388\n77426 100000\n87135 100000\n89510 100000\n20898 31415\n83888 100000\n21913 32916\n86182 100000\n51566 77279\n55945 83899\n32626 48938\n34201 51283\n24398 36617\n13508 20297\n19293 29000\n79383 100000\n84853 100000\n80253 100000\n70129 100000\n72602 100000\n90372 100000\n20213 30392\n56592 84881\n21977 33009\n38387 57563\n26671 40007\n66461 99711\n66863 100000\n4293 6463\n50947 76378\n61360 92051\n84378 100000\n95295 100000\n99632 100000\n11556 17345\n41137 61695\n39716 59554\n98309 100000\n62965 94456\n79243 100000\n164 251\n46421 69592\n10667 15998\n82194 100000\n21397 32158\n7089 10660\n70813 100000\n97289 100000\n18049 27118\n76563 100000\n13373 20082\n45126 67680\n50683 75982\n91571 100000\n39198 58757\n77764 100000\n92541 100000\n31664 47511\n36720 55063\n22455 33705\n21598 32457\n67884 100000\n50215 75273\n21177 31828\n46774 70112\n80116 100000\n32574 48862\n5195 7814\n52589 78815\n97094 100000\n49937 74857\n85047 100000\n75853 100000\n88458 100000\n24193 36306\n85344 100000\n30357 45525\n39848 59746\n42367 63546\n93147 100000\n66297 99464\n83887 100000\n69935 100000\n56624 84926\n59096 88633\n51723 77514\n64340 96498\n842 1280\n59488 89240\n88950 100000\n97350 100000\n37740 56589\n33382 50054\n54851 82238\n27914 41866\n73855 100000\n86185 100000\n69493 100000\n92675 100000\n35525 53266\n6120 9209\n81864 100000\n5129 7718\n48320 72407\n63227 94836\n58799 88193\n76387 100000\n60222 90345\n17316 26031\n20416 30685\n11444 17179\n99527 100000\n56590 84878\n90520 100000\n43222 64826\n13336 20027\n41600 62395\n44553 66816\n54434 81604\n91767 100000\n37091 55614\n76318 100000\n89837 100000\n75855 100000\n80748 100000\n79062 100000\n18080 27164\n17702 26598\n310 475\n56995 85481\n8903 13359\n45568 68345\n49796 74655\n29314 43969\n13543 20348\n30587 45894\n47000 70450\n10478 15723\n434 663\n84755 100000\n36120 54150\n87406 100000\n29050 43572\n506 775\n57608 86401\n48296 72372\n41445 62163\n68413 100000\n2870 4330\n78754 100000\n15155 22804\n31036 46586\n64462 96678\n7106 10684\n58374 87565\n51065 76553\n70242 100000\n73469 100000\n27854 41776\n39627 59421\n65180 97762\n98086 100000\n70342 100000\n44523 66773\n84453 100000\n40416 60603\n57088 85615\n28502 42749\n93173 100000\n11915 17887\n15699 23618\n64148 96210\n95148 100000\n50284 75382\n14046 21121\n6966 10472\n54367 81492\n32093 48156\n90956 100000\n52779 79099\n58260 87384\n7444 11184\n17877 26858\n50497 75705\n18411 27660\n11982 17984\n70471 100000\n40441 60640\n47046 70519\n88552 100000\n44844 67252\n86933 100000\n26959 40416\n87481 100000\n62758 94152\n15878 23875\n44916 67363\n5658 8504\n44206 66298\n97781 100000\n11184 16782\n58155 87224\n24824 37249\n99457 100000\n45416 68115\n21366 32111\n35963 53919\n99938 100000\n11195 16798\n25761 38642\n40653 60964\n42357 63533\n81004 100000\n99067 100000\n19329 29057\n2668 4019\n90588 100000\n76348 100000\n2454 3696\n74235 100000\n77599 100000\n81542 100000\n87642 100000\n25488 38239\n66683 100000\n14060 21143\n63558 95313\n55300 82932\n10313 15482\n17818 26773\n7741 11631\n37383 56050\n59856 89808\n84726 100000\n12799 19206\n31669 47519\n42103 63151\n13896 20889\n24682 37029\n85115 100000\n25337 38018\n63521 95264\n61242 91868\n59578 89377\n69564 100000\n14221 21385\n85576 100000\n26864 40282\n20871 31372\n10682 16017\n92136 100000\n43736 65604\n13149 19746\n94055 100000\n70030 100000\n76613 100000\n30463 45698\n48170 72182\n4828 7263\n57467 86196\n35469 53190\n10252 15391\n91654 100000\n80394 100000\n98875 100000\n56918 85361\n33084 49618\n91987 100000\n98978 100000\n11682 17537\n83399 100000\n81064 100000\n18301 27495\n99278 100000\n36541 54785\n97759 100000\n43028 64529\n26641 39969\n68905 100000\n98227 100000\n50633 75908\n19346 29085\n24327 36510\n47794 71625\n20336 30572\n36349 54504\n39207 58774\n12083 18139\n44146 66214\n36901 55333\n38501 57741\n2941 4440\n62373 93576\n47328 70944\n71529 100000\n86813 100000\n33857 50775\n3819 5749\n17200 25852\n14126 21242\n89055 100000\n26145 39228\n46230 69313\n18152 27269\n27199 40773\n11811 17730\n4201 6325\n39709 59544\n32625 48936\n20784 31242\n52871 79243\n25942 38921\n59110 88655\n37327 55968\n59891 89861\n15700 23619\n76636 100000\n96578 100000\n75534 100000\n87241 100000\n9920 14895\n58341 87514\n36371 54539\n83441 100000\n12141 18224\n18681 28081\n99752 100000\n18178 27311\n55489 83215\n94087 100000\n35100 52641\n76078 100000\n94412 100000\n62955 94440\n38862 58269\n85253 100000\n57860 86768\n11204 16813\n69619 100000\n41952 62936\n75053 100000\n41919 62888\n22775 34179\n30288 45422\n30739 46127\n63107 94674\n3700 5572\n63089 94646\n62969 94463\n81599 100000\n60979 91480\n38310 57452\n87843 100000\n3835 5771\n53051 79512\n295 454\n21223 31899\n47356 70984\n51102 76610\n34833 52244\n65416 98128\n64077 96097\n669 1020\n87551 100000\n4516 6796\n31879 47830\n90665 100000\n79380 100000\n21367 32113\n99758 100000\n376 576\n35562 53319\n83800 100000\n99835 100000\n5926 8906\n52614 78853\n63939 95884\n57260 85878\n5321 8001\n88715 100000\n46275 69379\n32604 48902\n6405 9652\n76327 100000\n34081 51103\n70279 100000\n81186 100000\n82071 100000\n13691 20578\n572 877\n7818 11744\n81880 100000\n38256 57369\n39988 59954\n28558 42830\n89974 100000\n71852 100000\n66062 99111\n95866 100000\n11084 16636\n16561 24905\n69299 100000\n95374 100000\n48876 73260\n87888 100000\n65034 97540\n67814 100000\n94271 100000\n44441 66650\n75722 100000\n73943 100000\n66083 99142\n38437 57640\n86061 100000\n78536 100000\n50568 75805\n63498 95232\n12824 19241\n32463 48701\n19439 29226\n7299 10970\n38147 57203\n95779 100000\n9160 13733\n10299 15461\n33624 50420\n38717 58058\n3125 4712\n58124 87177\n27850 41771\n24919 37388\n38848 58247\n10495 15749\n38760 58123\n93467 100000\n57053 85563\n29818 44716\n1970 2963\n26634 39959\n2809 4238\n16612 24979\n61637 92457\n66075 99131\n82455 100000\n88505 100000\n41924 62895\n75013 100000\n17021 25573\n13755 20675\n77826 100000\n43855 65772\n10880 16324\n1161 1757\n30775 46186\n91448 100000\n6372 9604\n18562 27896\n75836 100000\n60378 90581\n96942 100000\n14792 22256\n502 769\n28147 42208\n51484 77161\n52352 78459\n95875 100000\n61250 91878\n19447 29238\n79339 100000\n56615 84912\n41051 61570\n10092 15146\n80821 100000\n48794 73133\n12335 18513\n95169 100000\n60404 90623\n2437 3668\n67498 100000\n54428 81595\n62342 93531\n70991 100000\n52113 78105\n88534 100000\n28936 43407\n50849 76231\n20624 30993\n54998 82464\n98624 100000\n61220 91838\n47271 70860\n76340 100000\n14494 21789\n64245 96357\n94046 100000\n67706 100000\n91432 100000\n54277 81351\n41803 62712\n11356 17044\n39419 59100\n39478 59188\n91908 100000\n91850 100000\n16396 24652\n83949 100000\n10713 16066\n75374 100000\n22559 33862\n57308 85952\n68157 100000\n24223 36349\n29052 43575\n12390 18596\n78322 100000\n41063 61587\n1969 2962\n74271 100000\n41150 61714\n76045 100000\n96378 100000\n33548 50306\n20376 30632\n42249 63376\n28385 42571\n50447 75628\n10846 16271\n69774 100000\n23107 34680\n73387 100000\n30838 46277\n82770 100000\n95535 100000\n13396 20120\n95190 100000\n75251 100000\n91299 100000\n78955 100000\n67178 100000\n77612 100000\n32911 49362\n97715 100000\n34915 52373\n99866 100000\n58851 88267\n53863 80728\n47324 70937\n92559 100000\n88378 100000\n42497 63741\n12840 19268\n19909 29931\n11019 16536\n35826 53713\n99503 100000\n7193 10819\n20646 31026\n81720 100000\n23152 34749\n54850 82237\n47857 71712\n55112 82646\n89745 100000\n2311 3473\n68 104\n88895 100000\n73201 100000\n10100 15159\n6368 9597\n81515 100000\n86303 100000\n18887 28404\n46266 69368\n4076 6131\n21537 32369\n41378 62065\n91676 100000\n55874 83792\n43608 65411\n63366 95039\n56587 84874\n78792 100000\n6488 9763\n61862 92804\n63723 95558\n50668 75960\n65282 97916\n66421 99648\n97342 100000\n95423 100000\n44157 66227\n96552 100000\n29764 44628\n27389 41063\n59919 89902\n2853 4305\n93200 100000\n86985 100000\n49781 74630\n41906 62870\n71520 100000\n20551 30877\n70125 100000\n93791 100000\n10989 16486\n12831 19253\n55717 83563\n11510 17275\n94564 100000\n80904 100000\n82875 100000\n86291 100000\n37495 56218\n34049 51054\n32503 48765\n61113 91679\n79540 100000\n26245 39378\n621 952\n46923 70331\n30379 45564\n20965 31518\n13236 19879\n59936 89927\n42641 63953\n41167 61743\n12936 19416\n29852 44764\n38127 57170\n14605 21958\n31244 46889\n62852 94293\n96420 100000\n98582 100000\n75093 100000\n13816 20770\n22669 34029\n47238 70805\n85995 100000\n99508 100000\n6280 9457\n63348 95010\n2304 3463\n67424 100000\n7739 11627\n75 117\n75735 100000\n77829 100000\n5002 7523\n85919 100000\n24359 36558\n35992 53958\n87158 100000\n98176 100000\n8936 13404\n70490 100000\n71991 100000\n99358 100000\n45887 68810\n28542 42804\n71826 100000\n85144 100000\n94445 100000\n46227 69308\n27162 40721\n38615 57904\n18493 27786\n36302 54430\n42609 63909\n8246 12382\n44270 66396\n25015 37535\n77180 100000\n28306 42450\n26318 39486\n88725 100000\n98518 100000\n45268 67896\n77454 100000\n62738 94118\n83305 100000\n2595 3913\n9995 15001\n5001 7522\n35262 52877\n42122 63180\n11400 17112\n34410 51602\n33153 49718\n25776 38669\n56285 84415\n39634 59432\n93725 100000\n21208 31875\n84368 100000\n29906 44844\n52548 78752\n54709 82017\n41884 62836\n89540 100000\n45285 67924\n34561 51830\n81600 100000\n33595 50376\n14478 21769\n31636 47466\n13157 19762\n32303 48460\n31753 47645\n87602 100000\n50232 75298\n98699 100000\n80770 100000\n70185 100000\n34033 51031\n33164 49734\n20908 31432\n67971 100000\n74469 100000\n69476 100000\n5669 8520\n59341 89006\n5677 8531\n2082 3124\n39447 59144\n41822 62743\n37583 56351\n99968 100000\n53309 79913\n20467 30759\n27205 40781\n91636 100000\n89385 100000\n21865 32851\n73844 100000\n7749 11643\n81988 100000\n4208 6334\n45191 67779\n16684 25087\n7329 11018\n6119 9207\n31245 46890\n7559 11362\n77574 100000\n38808 58189\n8616 12927\n34307 51441\n18658 28042\n95702 100000\n3445 5198\n56986 85465\n82616 100000\n45477 68210\n87905 100000\n35891 53812\n12167 18263\n46632 69903\n56499 84739\n28371 42551\n19689 29604\n40643 60949\n26301 39459\n1046 1580\n10031 15053\n37538 56278\n88681 100000\n71058 100000\n87755 100000\n29853 44766\n31881 47834\n78416 100000\n64522 96768\n16806 25264\n90873 100000\n73751 100000\n54442 81616\n73985 100000\n22004 33049\n99106 100000\n43034 64538\n45636 68445\n63780 95641\n34543 51807\n23800 35707\n46897 70293\n18416 27667\n28350 42518\n85020 100000\n79595 100000\n41649 62470\n99919 100000\n62699 94060\n63609 95395\n30831 46268\n19622 29503\n54120 81116\n93002 100000\n15848 23829\n97230 100000\n93883 100000\n77254 100000\n47166 70700\n7282 10949\n49217 73769\n78632 100000\n78371 100000\n76553 100000\n95386 100000\n56603 84896\n78324 100000\n74449 100000\n13623 20473\n12527 18792\n13211 19844\n58532 87798\n24587 36887\n79233 100000\n31805 47722\n10166 15260\n91380 100000\n92624 100000\n9210 13812\n18932 28471\n56191 84271\n56696 85034\n3762 5669\n23118 34696\n35409 53097\n10343 15521\n40567 60835\n34232 51328\n53795 80623\n91349 100000\n67174 100000\n17788 26730\n34617 51916\n59822 89759\n74292 100000\n61906 92869\n44394 66582\n40873 61299\n30862 46315\n23063 34612\n56449 84666\n82653 100000\n94071 100000\n39596 59373\n1950 2934\n44413 66609\n3538 5332\n11918 17891\n90357 100000\n60271 90417\n38887 58303\n84406 100000\n93087 100000\n95422 100000\n1249 1892\n49197 73737\n98325 100000\n4141 6230\n67470 100000\n54448 81626\n81693 100000\n90419 100000\n20461 30753\n60179 90286\n49725 74543\n3248 4900\n7488 11252\n99970 100000\n15176 22834\n14175 21315\n28802 43202\n70419 100000\n40352 60506\n29364 44050\n99615 100000\n45119 67669\n74151 100000\n39600 59380\n68803 100000\n70754 100000\n21432 32215\n67968 100000\n39196 58753\n84048 100000\n79567 100000\n28817 43227\n46350 69491\n42011 63019\n97435 100000\n73478 100000\n39443 59138\n40590 60870\n49422 74073\n13705 20601\n62679 94034\n28855 43283\n24428 36659\n94782 100000\n84568 100000\n50098 75091\n90037 100000\n99973 100000\n10024 15044\n41024 61523\n17900 26893\n46021 69008\n93706 100000\n19478 29289\n59231 88841\n14646 22029\n44960 67425\n49232 73789\n13049 19594\n22909 34376\n71822 100000\n43165 64742\n8509 12765\n2252 3382\n15950 23982\n42465 63694\n65384 98079\n35232 52834\n38001 56982\n33221 49819\n77591 100000\n98333 100000\n74118 100000\n47907 71787\n91443 100000\n50752 76088\n95323 100000\n78555 100000\n52405 78540\n77830 100000\n41564 62345\n10800 16198\n44403 66594\n13700 20595\n22751 34144\n13180 19795\n79629 100000\n12248 18387\n90559 100000\n96151 100000\n44743 67104\n5877 8838\n65857 98794\n66767 100000\n6037 9078\n35777 53637\n35435 53137\n29978 44955\n90189 100000\n14661 22053\n64981 97465\n11764 17658\n16281 24477\n66294 99460\n85774 100000\n88702 100000\n71275 100000\n99656 100000\n31582 47388\n97076 100000\n69603 100000\n63559 95315\n73392 100000\n48441 72593\n61400 92106\n22144 33256\n63134 94710\n45767 68633\n93845 100000\n87980 100000\n39926 59862\n94571 100000\n19422 29200\n46980 70418\n14337 21559\n69250 100000\n11065 16607\n2720 4100\n58567 87843\n32665 48997\n84330 100000\n38366 57531\n84448 100000\n5698 8564\n75964 100000\n52623 78864\n34064 51078\n19896 29911\n71196 100000\n26674 40011\n37861 56770\n26007 39018\n66185 99295\n50833 76206\n31486 47240\n15986 24034\n53794 80621\n36196 54263\n32228 48351\n78457 100000\n66065 99115\n88168 100000\n45486 68223\n63084 94639\n40131 60176\n91460 100000\n39468 59172\n78641 100000\n28997 43496\n86173 100000\n27785 41670\n10598 15897\n21034 31621\n6941 10432\n24433 36667\n68154 100000\n15778 23729\n82521 100000\n56003 83990\n41950 62932\n39214 58787\n57217 85810\n2639 3976\n77083 100000\n73499 100000\n45794 68672\n26120 39188\n45834 68733\n50390 75544\n49785 74636\n99366 100000\n37700 56530\n3598 5418\n85035 100000\n33021 49522\n53419 80072\n88242 100000\n34519 51768\n12826 19245\n38362 57524\n12855 19292\n89506 100000\n22769 34172\n2195 3299\n75391 100000\n13937 20955\n67124 100000\n35774 53632\n56928 85378\n59564 89354\n65765 98655\n25881 38831\n47485 71162\n40159 60217\n10747 16119\n99212 100000\n69906 100000\n74232 100000\n36591 54866\n66623 99946\n86913 100000\n66496 99761\n59921 89905\n5638 8477\n18875 28385\n21896 32891\n56640 84952\n19084 28695\n54336 81441\n56664 84984\n95123 100000\n27301 40930\n15942 23969\n93476 100000\n30128 45181\n76271 100000\n5846 8789\n78505 100000\n67449 100000\n83714 100000\n81902 100000\n17125 25732\n20071 30172\n11986 17991\n33889 50824\n4701 7075\n19291 28997\n5635 8472\n11393 17099\n53569 80288\n78199 100000\n12079 18133\n97372 100000\n5722 8597\n80497 100000\n20575 30914\n56300 84442\n10303 15467\n87114 100000\n43124 64680\n13028 19563\n42927 64383\n41095 61633\n39635 59434\n77959 100000\n38203 57290\n7740 11629\n4255 6403\n87394 100000\n75496 100000\n62004 93018\n23539 35317\n38299 57436\n90521 100000\n36689 55013\n82703 100000\n2292 3447\n99389 100000\n54153 81166\n3670 5529\n19670 29573\n5856 8807\n57567 86341\n26070 39115\n35485 53209\n78881 100000\n32491 48747\n84072 100000\n6003 9024\n68118 100000\n45847 68750\n41673 62505\n79616 100000\n16959 25485\n56288 84421\n85535 100000\n87765 100000\n81124 100000\n64317 96464\n9904 14869\n67158 100000\n43177 64760\n85404 100000\n48185 72206\n59585 89388\n13736 20649\n44591 66874\n93377 100000\n24870 37317\n69315 100000\n67290 100000\n6531 9825\n78775 100000\n96323 100000\n4081 6138\n51697 77474\n51630 77371\n64036 96036\n45973 68930\n52706 78990\n60752 91136\n95570 100000\n29537 44296\n63104 94670\n74556 100000\n23669 35511\n87302 100000\n16739 25168\n34893 52342\n54914 82333\n40102 60128\n49160 73685\n88441 100000\n16384 24632\n68449 100000\n15554 23404\n73912 100000\n52245 78297\n73530 100000\n50643 75923\n74888 100000\n11522 17294\n84908 100000\n3990 5996\n69984 100000\n56673 84996\n45066 67593\n8375 12575\n95579 100000\n59777 89691\n15946 23976\n59711 89587\n1557 2355\n64159 96225\n3036 4581\n63416 95108\n94023 100000\n57963 86926\n80217 100000\n71641 100000\n83383 100000\n28545 42810\n66272 99426\n61634 92451\n94942 100000\n9906 14873\n57754 86618\n61235 91858\n81464 100000\n32848 49268\n17210 25864\n25253 37896\n35317 52959\n30767 46172\n74500 100000\n61279 91923\n1571 2378\n15489 23309\n43747 65620\n76306 100000\n32351 48538\n65128 97682\n69546 100000\n77021 100000\n1374 2080\n46038 69038\n85120 100000\n75041 100000\n52822 79164\n96044 100000\n16996 25538\n69588 100000\n89122 100000\n71311 100000\n26933 40381\n43228 64834\n34596 51888\n70838 100000\n35281 52907\n89832 100000\n62948 94430\n20169 30321\n15418 23200\n3970 5970\n26281 39429\n71960 100000\n30630 45962\n84098 100000\n21350 32089\n76986 100000\n15358 23112\n37791 56670\n87477 100000\n42743 64107\n12245 18383\n68127 100000\n98827 100000\n45875 68793\n40609 60898\n23997 36014\n81339 100000\n24786 37190\n71022 100000\n42611 63912\n32206 48317\n43662 65491\n81149 100000\n91683 100000\n94830 100000\n72806 100000\n63194 94790\n96990 100000\n27596 41378\n6246 9406\n33902 50841\n11284 16935\n88577 100000\n28046 42061\n587 902\n79480 100000\n63444 95149\n59088 88623\n92937 100000\n23593 35400\n34343 51496\n24875 37324\n2527 3809\n27648 41459\n50908 76323\n46163 69220\n54704 82010\n75564 100000\n55508 83245\n17677 26559\n41000 61488\n33338 49990\n42492 63734\n737 1123\n46842 70211\n7669 11526\n51585 77307\n85411 100000\n11816 17737\n34305 51438\n24011 36035\n10795 16189\n33394 50071\n37079 55596\n63797 95666\n58346 87520\n22596 33917\n20435 30713\n31384 47090\n62648 93984\n14210 21368\n6745 10143\n38807 58188\n32214 48329\n38566 57832\n48896 73291\n85405 100000\n78766 100000\n50040 75008\n26795 40185\n40935 61391\n73316 100000\n43571 65359\n57990 86968\n66490 99752\n93567 100000\n84120 100000\n15409 23186\n89306 100000\n46410 69577\n97421 100000\n81482 100000\n80250 100000\n18337 27549\n54346 81458\n18706 28124\n84635 100000\n57580 86358\n26186 39285\n67421 100000\n48359 72467\n81908 100000\n80926 100000\n421 646\n45946 68895\n68545 100000\n71938 100000\n7347 11045\n48216 72249\n21745 32665\n58275 87407\n73336 100000\n48148 72151\n45681 68511\n36214 54292\n56203 84290\n26841 40250\n46622 69890\n90502 100000\n63964 95918\n91358 100000\n33653 50464\n44605 66895\n58010 86999\n51229 76803\n67489 100000\n65144 97707\n27865 41793\n85870 100000\n49611 74363\n34325 51469\n15871 23864\n84117 100000\n24888 37341\n88297 100000\n482 737\n60683 91031\n42850 64267\n6110 9191\n9026 13535\n72103 100000\n62195 93298\n25186 37797\n9553 14333\n14438 21705\n28894 43338\n80647 100000\n75720 100000\n31166 46774\n14679 22079\n38809 58190\n62331 93512\n3196 4820\n39423 59107\n78674 100000\n82911 100000\n8933 13400\n30760 46160\n36030 54018\n9596 14399\n91642 100000\n18608 27964\n92361 100000\n21546 32382\n88330 100000\n89437 100000\n58140 87201\n33895 50831\n37266 55881\n71105 100000\n54071 81042\n27406 41091\n74911 100000\n11199 16803\n74680 100000\n23485 35237\n65116 97664\n82562 100000\n86270 100000\n36053 54051\n24186 36296\n20191 30353\n29095 43632\n64010 95994\n25562 38343\n49630 74392\n80242 100000\n40065 60077\n2739 4130\n54479 81673\n2133 3200\n23814 35729\n40826 61231\n20413 30680\n43831 65738\n73965 100000\n90405 100000\n41186 61771\n52147 78152\n69511 100000\n26314 39480\n88829 100000\n59256 88881\n99497 100000\n80150 100000\n27849 41769\n56808 85196\n143 220\n80803 100000\n71494 100000\n72649 100000\n95448 100000\n52505 78688\n30549 45837\n51404 77054\n65013 97508\n64711 97057\n37543 56285\n13512 20303\n19492 29310\n26499 39752\n17653 26522\n12417 18634\n32837 49254\n26583 39879\n49512 74210\n82288 100000\n50900 76310\n46905 70304\n44845 67253\n1844 2776\n66360 99557\n9682 14526\n83047 100000\n93757 100000\n38697 58030\n49271 73842\n45846 68748\n57705 86546\n50918 76336\n541 830\n48179 72197\n7887 11847\n25419 38139\n3842 5783\n50532 75753\n68851 100000\n76332 100000\n1173 1776\n69080 100000\n29983 44960\n61370 92065\n615 943\n92443 100000\n52627 78871\n86316 100000\n86491 100000\n92059 100000\n50354 75488\n69847 100000\n45223 67828\n12944 19430\n78399 100000\n19880 29889\n13680 20561\n48174 72189\n9766 14654\n41990 62988\n540 828\n23269 34919\n41944 62924\n12815 19228\n65687 98534\n93352 100000\n30484 45731\n3106 4685\n54075 81046\n10928 16394\n1237 1875\n98880 100000\n37227 55818\n62944 94425\n77689 100000\n13240 19885\n82261 100000\n13756 20676\n21255 31950\n36150 54194\n65232 97842\n96454 100000\n76709 100000\n39452 59151\n5799 8717\n74905 100000\n92035 100000\n50899 76308\n93069 100000\n21068 31669\n40555 60814\n37325 55965\n43387 65085\n90604 100000\n5485 8244\n34029 51025\n99451 100000\n41457 62182\n24622 36936\n31181 46801\n53496 80182\n92753 100000\n78855 100000\n37409 56089\n59225 88832\n41640 62457\n98654 100000\n17904 26900\n55889 83815\n69479 100000\n72388 100000\n25845 38777\n47151 70678\n87037 100000\n90306 100000\n11734 17610\n1613 2432\n26653 39986\n38331 57481\n93797 100000\n96350 100000\n89854 100000\n51981 77909\n8994 13488\n22622 33956\n79607 100000\n38817 58201\n45537 68301\n82667 100000\n65613 98425\n92897 100000\n71777 100000\n58847 88261\n5645 8485\n33747 50605\n83625 100000\n5433 8165\n52328 78421\n10644 15965\n2327 3501\n67132 100000\n2751 4148\n44399 66590\n95807 100000\n56650 84965\n1019 1541\n51718 77505\n21441 32228\n82837 100000\n14885 22390\n79189 100000\n2028 3048\n60773 91169\n1451 2195\n92622 100000\n51387 77029\n80654 100000\n52273 78340\n96510 100000\n79432 100000\n42090 63130\n46679 69972\n6346 9562\n23606 35420\n30681 46040\n28539 42800\n14744 22185\n44223 66325\n9389 14085\n51440 77103\n26096 39155\n99044 100000\n69809 100000\n14506 21807\n75907 100000\n33592 50372\n86684 100000\n70259 100000\n74985 100000\n80627 100000\n41645 62464\n56311 84460\n67169 100000\n66006 99024\n95844 100000\n36083 54094\n352 543\n73468 100000\n40241 60343\n17052 25617\n4450 6700\n61209 91822\n3556 5356\n5487 8247\n56012 84004\n65735 98609\n25392 38098\n26549 39829\n633 968\n31175 46790\n57117 85658\n55160 82718\n21035 31623\n46793 70140\n12462 18701\n40043 60039\n98004 100000\n36236 54325\n14152 21282\n50049 75021\n29429 44140\n86949 100000\n29914 44858\n73600 100000\n9505 14260\n83473 100000\n97323 100000\n83810 100000\n13026 19559\n47395 71038\n61039 91570\n27082 40601\n18912 28439\n70647 100000\n13012 19538\n60992 91501\n31910 47876\n9775 14670\n76440 100000\n66063 99112\n80477 100000\n32888 49327\n70344 100000\n49165 73691\n33015 49514\n18120 27222\n33130 49680\n34151 51208\n99686 100000\n24529 36804\n90762 100000\n25956 38942\n6406 9653\n80280 100000\n65463 98190\n42936 64393\n14049 21125\n53780 80598\n93548 100000\n53982 80912\n6963 10467\n9773 14666\n98813 100000\n34793 52184\n63550 95303\n81342 100000\n9559 14342\n3570 5378\n2663 4011\n59340 89004\n44838 67242\n70589 100000\n77824 100000\n51188 76740\n40149 60201\n20425 30699\n89856 100000\n35447 53155\n25751 38630\n41863 62806\n69956 100000\n25579 38369\n34758 52130\n87031 100000\n5647 8488\n12467 18707\n9202 13799\n39155 58688\n8110 12177\n39254 58851\n69122 100000\n65379 98072\n47643 71401\n45656 68475\n85033 100000\n96063 100000\n87486 100000\n69194 100000\n44938 67394\n21244 31932\n94037 100000\n76394 100000\n6546 9846\n45941 68886\n84097 100000\n17580 26415\n14458 21738\n63765 95615\n74527 100000\n7725 11604\n8882 13327\n71181 100000\n46060 69072\n66103 99172\n42224 63342\n72911 100000\n27443 41151\n81861 100000\n80262 100000\n88662 100000\n53164 79684\n54740 82069\n18037 27098\n16783 25227\n9117 13667\n42912 64359\n83543 100000\n66466 99719\n69782 100000\n30058 45070\n6459 9724\n53044 79500\n43012 64507\n18591 27940\n72523 100000\n28098 42139\n33052 49569\n91440 100000\n44149 66218\n95809 100000\n61199 91807\n98930 100000\n44164 66236\n62722 94096\n46003 68980\n3586 5399\n19612 29489\n87372 100000\n3333 5029\n97261 100000\n65901 98866\n9946 14932\n92372 100000\n81726 100000\n70817 100000\n39300 58922\n55136 82683\n50087 75073\n21706 32605\n20789 31248\n86214 100000\n77309 100000\n7367 11073\n53095 79577\n62478 93731\n24576 36871\n41658 62485\n28456 42678\n38289 57420\n77797 100000\n911 1384\n63387 95065\n10007 15019\n82439 100000\n20517 30832\n45376 68060\n86269 100000\n77500 100000\n95955 100000\n76515 100000\n22903 34368\n32122 48199\n75581 100000\n62499 93766\n54808 82173\n79030 100000\n51326 76937\n31203 46835\n31085 46653\n89823 100000\n38067 57082\n43887 65818\n49362 73981\n72220 100000\n28077 42106\n29385 44080\n42143 63213\n26423 39641\n88603 100000\n82129 100000\n93534 100000\n60652 90983\n5498 8261\n58647 87962\n74656 100000\n99491 100000\n84381 100000\n71263 100000\n46981 70419\n94308 100000\n46311 69434\n49711 74518\n1088 1644\n73191 100000\n19040 28629\n18531 27848\n21500 32317\n79941 100000\n56231 84335\n64398 96585\n20117 30242\n88905 100000\n33363 50025\n61765 92648\n19048 28639\n62107 93157\n59698 89567\n32496 48755\n61787 92682\n35361 53022\n23072 34627\n12650 18985\n31977 47978\n72762 100000\n90628 100000\n26739 40099\n30002 44989\n15431 23222\n57781 86659\n53017 79457\n75723 100000\n75092 100000\n64844 97251\n26264 39405\n17271 25959\n67816 100000\n70043 100000\n88214 100000\n40551 60808\n69875 100000\n22660 34017\n60748 91128\n89285 100000\n52370 78484\n55642 83449\n74188 100000\n6050 9101\n2092 3138\n90450 100000\n93170 100000\n65731 98603\n33124 49672\n83328 100000\n23368 35069\n97683 100000\n16868 25355\n32275 48423\n4365 6573\n45870 68785\n17002 25546\n99070 100000\n35500 53230\n66147 99239\n73330 100000\n74322 100000\n33231 49833\n65653 98486\n33932 50883\n25806 38718\n17440 26212\n51308 76911\n76942 100000\n32915 49370\n12820 19234\n5056 7606\n13666 20538\n55862 83772\n36080 54090\n65630 98451\n21172 31821\n80345 100000\n99962 100000\n43574 65363\n36902 55335\n92843 100000\n95883 100000\n35123 52677\n40199 60282\n28359 42530\n25296 37956\n41627 62436\n36408 54593\n54361 81482\n77001 100000\n47836 71682\n78677 100000\n88709 100000\n49757 74592\n33184 49763\n34996 52489\n44993 67473\n82523 100000\n11579 17379\n30332 45486\n65452 98177\n85208 100000\n85447 100000\n51702 77481\n61872 92821\n56446 84662\n26722 40075\n80449 100000\n92993 100000\n16734 25161\n30716 46093\n6939 10428\n58494 87740\n61823 92737\n71145 100000\n54102 81086\n37239 55837\n45628 68433\n64329 96480\n91925 100000\n23310 34983\n71481 100000\n7823 11751\n98076 100000\n86274 100000\n45002 67487\n85889 100000\n21920 32929\n4837 7276\n29321 43982\n38729 58075\n88604 100000\n3121 4708\n18942 28486\n5534 8315\n65764 98653\n97083 100000\n17130 25740\n57395 86089\n29293 43934\n91379 100000\n71166 100000\n20292 30503\n70424 100000\n71921 100000\n82205 100000\n23375 35079\n51430 77089\n48944 73362\n68540 100000\n58476 87715\n86577 100000\n3488 5260\n47372 71009\n27175 40740\n88839 100000\n40259 60370\n46405 69571\n79302 100000\n23545 35326\n20427 30701\n8454 12687\n62559 93856\n31459 47199\n53694 80473\n38063 57077\n46389 69546\n88334 100000\n48294 72370\n26696 40042\n9792 14694\n13983 21021\n59681 89540\n55821 83715\n35586 53354\n74844 100000\n37697 56525\n65538 98308\n94231 100000\n30093 45126\n12080 18135\n85483 100000\n91323 100000\n25371 38066\n94502 100000\n82409 100000\n26011 39024\n19116 28741\n35492 53218\n11126 16700\n42705 64045\n60073 90132\n72265 100000\n73749 100000\n12290 18444\n71 109\n41969 62958\n32114 48187\n90699 100000\n45062 67585\n49319 73919\n84848 100000\n45217 67818\n44171 66247\n99296 100000\n23857 35796\n51248 76827\n94076 100000\n17995 27034\n91668 100000\n21194 31853\n49815 74684\n7054 10606\n36890 55314\n90912 100000\n55881 83803\n36275 54390\n89747 100000\n54447 81624\n93140 100000\n54010 80951\n78951 100000\n91766 100000\n28424 42628\n73440 100000\n55532 83282\n65361 98046\n97532 100000\n73054 100000\n11965 17958\n39561 59319\n6044 9090\n57082 85608\n79963 100000\n85508 100000\n61395 92101\n64060 96075\n56789 85167\n77076 100000\n26307 39469\n47338 70958\n41272 61906\n58294 87440\n96787 100000\n33157 49723\n74303 100000\n73694 100000\n60191 90303\n35590 53360\n75866 100000\n37056 55561\n86258 100000\n5734 8613\n47361 70991\n13771 20699\n47596 71329\n45469 68195\n65718 98581\n59661 89510\n99405 100000\n21564 32411\n89166 100000\n87956 100000\n35468 53188\n18353 27572\n36700 55029\n60160 90261\n35261 52876\n4675 7038\n69201 100000\n92768 100000\n12808 19220\n87749 100000\n28428 42634\n38493 57727\n95314 100000\n68103 100000\n20606 30966\n84581 100000\n18527 27841\n60474 90727\n69877 100000\n76770 100000\n31566 47364\n14722 22150\n64826 97224\n51653 77406\n67120 100000\n20302 30519\n72447 100000\n43147 64716\n62725 94100\n65792 98698\n7956 11951\n36574 54838\n6533 9829\n90046 100000\n39813 59695\n49182 73715\n3304 4987\n82483 100000\n20957 31504\n64769 97140\n21752 32677\n49374 74001\n42513 63765\n37197 55771\n17624 26478\n85075 100000\n75465 100000\n76609 100000\n44884 67316\n21224 31901\n51561 77272\n26908 40344\n83964 100000\n86833 100000\n73857 100000\n10411 15623\n49396 74033\n51646 77397\n2009 3021\n62667 94015\n82406 100000\n2330 3505\n54168 81190\n18877 28389\n65321 97978\n65432 98150\n95667 100000\n46770 70108\n95587 100000\n55848 83754\n69967 100000\n65119 97668\n57845 86746\n5238 7878\n8402 12610\n83386 100000\n27787 41673\n380 582\n13281 19940\n93468 100000\n73380 100000\n5990 9002\n91579 100000\n19785 29748\n10176 15276\n83786 100000\n96365 100000\n15025 22604\n82565 100000\n88912 100000\n43456 65192\n68066 100000\n72316 100000\n52171 78188\n79524 100000\n63464 95178\n4331 6519\n5780 8683\n35760 53611\n42932 64389\n32155 48243\n33846 50759\n42420 63630\n98423 100000\n34063 51076\n92578 100000\n8407 12619\n52083 78064\n92471 100000\n92171 100000\n43007 64500\n93668 100000\n30284 45416\n51949 77858\n3272 4937\n93697 100000\n98411 100000\n1670 2520\n78669 100000\n39833 59725\n53125 79620\n13322 20006\n48915 73318\n72456 100000\n40257 60367\n39432 59122\n58497 87745\n39686 59512\n35926 53863\n90266 100000\n58736 88098\n4116 6196\n42070 63102\n43893 65830\n68484 100000\n90493 100000\n75430 100000\n5758 8650\n15519 23350\n7142 10742\n98745 100000\n10247 15383\n89897 100000\n15973 24014\n90540 100000\n62033 93057\n47768 71584\n29310 43963\n78403 100000\n76418 100000\n42949 64415\n39930 59869\n4334 6525\n21916 32922\n76932 100000\n66783 100000\n48171 72184\n14191 21339\n82642 100000\n60431 90662\n39604 59385\n91260 100000\n96302 100000\n20205 30378\n27190 40761\n12822 19238\n55340 82987\n20197 30364\n39401 59071\n97973 100000\n47062 70545\n77031 100000\n33719 50561\n82591 100000\n1660 2506\n9985 14984\n6540 9839\n61292 91946\n57492 86232\n88750 100000\n10120 15190\n6201 9338\n67493 100000\n87120 100000\n16982 25518\n40445 60647\n93046 100000\n47155 70684\n30802 46228\n89105 100000\n98924 100000\n49646 74419\n64712 97058\n16487 24794\n75236 100000\n17463 26245\n26398 39602\n24337 36524\n33452 50161\n1469 2224\n65616 98429\n41801 62709\n40151 60203\n62682 94037\n92580 100000\n62189 93289\n602 925\n83784 100000\n31631 47459\n85481 100000\n13388 20109\n40176 60245\n34463 51686\n75390 100000\n59705 89578\n57373 86057\n22829 34258\n9440 14157\n51877 77752\n71882 100000\n63878 95794\n88019 100000\n35610 53389\n90103 100000\n17169 25803\n87498 100000\n34844 52263\n38834 58225\n87772 100000\n77903 100000\n17321 26040\n95461 100000\n27702 41537\n66744 100000\n27534 41289\n2712 4085\n94428 100000\n50028 74991\n14831 22312\n92771 100000\n36623 54917\n27612 41404\n51224 76794\n97923 100000\n68698 100000\n8559 12840\n81273 100000\n83213 100000\n67246 100000\n98468 100000\n89137 100000\n40165 60228\n47177 70717\n19600 29471\n84294 100000\n62 94\n95392 100000\n32369 48564\n22609 33938\n53041 79497\n22342 33537\n66166 99268\n24784 37186\n94774 100000\n91200 100000\n24212 36333\n65053 97572\n79011 100000\n32717 49079\n29114 43660\n8253 12394\n22232 33382\n84040 100000\n78734 100000\n96397 100000\n29094 43631\n37024 55517\n58904 88350\n9444 14164\n7915 11894\n45735 68592\n16633 25012\n5852 8800\n71039 100000\n92938 100000\n4607 6934\n19466 29269\n66734 100000\n22206 33347\n78310 100000\n57276 85903\n9572 14362\n79611 100000\n3802 5728\n87961 100000\n905 1374\n74604 100000\n63682 95500\n94997 100000\n95975 100000\n74251 100000\n5401 8116\n5958 8956\n90701 100000\n31382 47086\n59831 89770\n23018 34536\n63283 94918\n98914 100000\n82586 100000\n64758 97123\n24679 37024\n12120 18193\n16356 24591\n46954 70377\n52264 78327\n90070 100000\n26452 39685\n92181 100000\n78503 100000\n99929 100000\n96910 100000\n45267 67895\n12618 18932\n38758 58121\n49229 73784\n32283 48433\n67277 100000\n60633 90955\n2804 4230\n16573 24920\n46395 69555\n78668 100000\n69814 100000\n54973 82422\n54688 81984\n53261 79832\n67415 100000\n45125 67679\n66554 99843\n6 12\n80655 100000\n57688 86523\n27954 41929\n20031 30116\n11407 17120\n94351 100000\n94974 100000\n19810 29786\n49136 73648\n715 1089\n64796 97181\n24205 36322\n19274 28973\n31741 47630\n19564 29418\n45378 68063\n8178 12280\n79541 100000\n18176 27308\n79670 100000\n75657 100000\n26869 40288\n5206 7829\n81740 100000\n40410 60596\n56454 84675\n87635 100000\n1826 2745\n61231 91851\n97757 100000\n13332 20021\n27662 41479\n75583 100000\n78767 100000\n63538 95286\n19481 29294\n55401 83078\n60051 90101\n57943 86897\n15614 23492\n91319 100000\n37159 55715\n82235 100000\n3390 5118\n61806 92712\n80117 100000\n91396 100000\n81615 100000\n70235 100000\n79097 100000\n61206 91818\n2907 4387\n49528 74237\n65566 98350\n13495 20276\n28862 43293\n89249 100000\n76308 100000\n18913 28441\n95788 100000\n45369 68048\n57311 85958\n89910 100000\n11943 17924\n53993 80925\n33904 50843\n97752 100000\n69081 100000\n32792 49187\n85645 100000\n5077 7637\n88278 100000\n45518 68267\n943 1432\n75506 100000\n34921 52380\n59804 89730\n81633 100000\n15520 23352\n66617 99937\n42226 63345\n45259 67884\n5858 8810\n68000 100000\n92914 100000\n6454 9716\n18119 27220\n99899 100000\n65348 98025\n422 647\n62273 93417\n45221 67825\n39505 59232\n42860 64283\n70866 100000\n85223 100000\n324 495\n54495 81695\n39791 59662\n61718 92575\n69486 100000\n86276 100000\n60065 90120\n30644 45984\n26409 39620\n7231 10874\n21499 32316\n42396 63590\n95269 100000\n42992 64477\n48257 72311\n87408 100000\n69461 100000\n57299 85940\n74821 100000\n21342 32080\n85312 100000\n27558 41321\n80355 100000\n19336 29070\n64353 96517\n7388 11105\n35443 53149\n79121 100000\n79433 100000\n98452 100000\n94984 100000\n41039 61550\n35267 52884\n51272 76863\n69510 100000\n50675 75970\n18153 27271\n52552 78759\n83437 100000\n42069 63100\n69314 100000\n27042 40540\n27166 40727\n92365 100000\n91170 100000\n1153 1744\n92073 100000\n983 1492\n44349 66515\n3958 5953\n80739 100000\n26874 40296\n21632 32501\n19273 28972\n30575 45876\n64378 96553\n46569 69811\n9606 14414\n40379 60549\n7810 11731\n61450 92181\n1417 2144\n74800 100000\n42851 64269\n73041 100000\n1141 1725\n64327 96477\n7694 11560\n54999 82466\n65032 97538\n60662 90998\n55630 83431\n52773 79089\n42980 64460\n66227 99360\n5135 7726\n70641 100000\n31884 47838\n74309 100000\n2665 4014\n49036 73499\n99834 100000\n74849 100000\n28202 42291\n57289 85924\n61784 92679\n40544 60799\n87062 100000\n2047 3076\n69183 100000\n54358 81476\n16849 25329\n83245 100000\n61121 91690\n45914 68850\n44857 67272\n67810 100000\n75247 100000\n72943 100000\n55079 82591\n64408 96599\n96284 100000\n23321 34995\n93602 100000\n50950 76382\n12301 18458\n52673 78944\n55628 83428\n37529 56266\n98765 100000\n61021 91545\n67051 100000\n65741 98619\n66482 99742\n51935 77835\n92292 100000\n5360 8062\n17584 26420\n66339 99524\n10974 16463\n47161 70693\n8498 12748\n95746 100000\n43900 65840\n86360 100000\n25577 38365\n56279 84407\n8609 12917\n73750 100000\n27426 41124\n29304 43953\n66018 99041\n90877 100000\n22376 33584\n85147 100000\n16017 24083\n60488 90745\n47092 70589\n60531 90806\n96561 100000\n42312 63464\n96268 100000\n70351 100000\n16385 24634\n88799 100000\n4001 6012\n16522 24844\n71670 100000\n82574 100000\n22697 34068\n60210 90329\n39111 58626\n49335 73942\n39931 59871\n10416 15632\n97112 100000\n93930 100000\n92735 100000\n22330 33519\n50678 75975\n5115 7695\n20944 31486\n26971 40432\n62209 93320\n45298 67945\n68926 100000\n24259 36402\n33136 49692\n23667 35507\n55696 83531\n40057 60062\n1155 1746\n45108 67653\n8137 12219\n80411 100000\n92246 100000\n74953 100000\n76339 100000\n80764 100000\n40675 60992\n11095 16655\n13458 20220\n85920 100000\n80961 100000\n51750 77555\n1247 1889\n15704 23625\n7353 11053\n95097 100000\n46407 69574\n20048 30140\n54829 82205\n19648 29540\n25742 38617\n2485 3741\n30499 45752\n37625 56421\n16003 24063\n89244 100000\n99060 100000\n40034 60026\n91452 100000\n53799 80629\n51205 76767\n93870 100000\n18787 28249\n8307 12469\n14220 21384\n13375 20086\n24871 37319\n17626 26481\n7635 11474\n63118 94688\n73889 100000\n31183 46804\n24801 37213\n25907 38870\n63364 95036\n60409 90630\n54247 81301\n7704 11573\n20241 30428\n31185 46806\n28315 42463\n42214 63325\n67438 100000\n9289 13937\n33720 50563\n92265 100000\n64568 96839\n309 474\n81706 100000\n80900 100000\n67116 100000\n97027 100000\n32434 48661\n24431 36665\n63793 95660\n28061 42085\n57587 86369\n90599 100000\n54404 81553\n89926 100000\n74977 100000\n77486 100000\n22448 33694\n26272 39416\n74041 100000\n3592 5409\n52486 78660\n25022 37546\n60877 91325\n21358 32101\n15444 23241\n32056 48099\n37260 55873\n78576 100000\n66547 99835\n38548 57810\n55166 82728\n19925 29958\n89646 100000\n94954 100000\n84885 100000\n72690 100000\n59762 89669\n55019 82500\n25805 38716\n16476 24778\n80592 100000\n41529 62290\n36985 55458\n71526 100000\n35422 53118\n18083 27168\n26926 40370\n99303 100000\n99909 100000\n95799 100000\n21277 31982\n75639 100000\n77005 100000\n65417 98129\n14306 21508\n19400 29168\n67060 100000\n60987 91493\n32388 48591\n92112 100000\n55713 83558\n19275 28974\n552 845\n30076 45097\n62360 93557\n26934 40383\n55536 83287\n49324 73924\n19288 28991\n11363 17052\n5839 8777\n48923 73329\n66528 99808\n20556 30886\n17384 26133\n92212 100000\n86060 100000\n14129 21247\n97766 100000\n54941 82372\n92120 100000\n58867 88290\n69316 100000\n65323 97981\n78636 100000\n80983 100000\n96161 100000\n43905 65849\n",
        "output": "25\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 106,
        "task_id": 541,
        "test_case_id": 39,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 99999\n28588 42741\n96186 100000\n94298 100000\n35373 52923\n6935 10339\n22035 32968\n78523 100000\n74473 100000\n82107 100000\n49423 74086\n31616 47308\n77702 100000\n70404 100000\n21162 31647\n73570 100000\n76159 100000\n49197 73743\n93680 100000\n76954 100000\n57003 85439\n74802 100000\n1821 2719\n69620 100000\n69106 100000\n61570 92344\n94918 100000\n44102 66091\n54720 82019\n69341 100000\n64180 96245\n49630 74401\n14695 21954\n45148 67632\n69926 100000\n66031 99041\n91612 100000\n48795 73128\n50185 75228\n31956 47819\n17904 26769\n5299 7890\n78419 100000\n66167 99248\n90078 100000\n18297 27350\n9918 14805\n92637 100000\n3369 5007\n41191 61740\n40118 60098\n13227 19780\n84388 100000\n33933 50762\n81349 100000\n87945 100000\n62478 93701\n53631 80398\n75342 100000\n14272 21323\n31332 46878\n96564 100000\n36655 54895\n42258 63323\n77781 100000\n47564 71291\n51680 77467\n26024 38949\n34493 51611\n84986 100000\n84903 100000\n75739 100000\n23575 35286\n83728 100000\n74123 100000\n27206 40713\n78558 100000\n70288 100000\n11608 17350\n9448 14094\n43502 65198\n76460 100000\n99900 100000\n40729 61039\n8024 11942\n9168 13670\n75794 100000\n12003 17958\n20821 31136\n11296 16863\n23299 34882\n8807 13130\n27775 41541\n83476 100000\n12095 18100\n7957 11847\n34733 51962\n44769 67055\n20021 29926\n26333 39422\n47492 71181\n77807 100000\n34270 51273\n63460 95173\n39522 59217\n202 300\n25512 38184\n62211 93316\n34062 50951\n69705 100000\n4251 6323\n66526 99784\n91464 100000\n59844 89720\n74625 100000\n77740 100000\n43140 64643\n61453 92173\n92883 100000\n47743 71554\n89408 100000\n76069 100000\n41839 62697\n29831 44620\n10112 15094\n95850 100000\n87594 100000\n80271 100000\n97812 100000\n88381 100000\n19445 29076\n76046 100000\n3032 4521\n54380 81517\n75835 100000\n99111 100000\n23543 35239\n68021 100000\n70542 100000\n31019 46405\n24302 36373\n38516 57697\n35365 52911\n49764 74600\n92676 100000\n50077 75072\n28852 43138\n69612 100000\n61332 91993\n15124 22594\n71043 100000\n76823 100000\n61422 92128\n65028 97513\n98249 100000\n72088 100000\n4735 7038\n52608 78859\n90068 100000\n75776 100000\n76433 100000\n86376 100000\n89238 100000\n1543 2301\n99371 100000\n88494 100000\n86872 100000\n74197 100000\n84750 100000\n10702 15963\n32027 47926\n71557 100000\n13602 20336\n51005 76460\n41454 62123\n96375 100000\n23895 35763\n10748 16034\n32248 48257\n52909 79329\n9892 14767\n21055 31483\n51538 77256\n54762 82083\n52529 78740\n21869 32723\n3622 5380\n27038 40459\n78058 100000\n40925 61338\n12731 19040\n8821 13151\n49435 74105\n9654 14401\n87094 100000\n569 852\n31855 47668\n69030 100000\n12233 18300\n72204 100000\n68621 100000\n67225 100000\n61443 92158\n45128 67605\n86156 100000\n35846 53655\n50243 75313\n81806 100000\n28039 41936\n24859 37210\n39740 59530\n28717 42939\n36579 54780\n10432 15580\n22554 33756\n28860 43153\n59312 88905\n84557 100000\n8139 12114\n10277 15330\n91951 100000\n92727 100000\n437 651\n70844 100000\n61799 92696\n19372 28973\n80667 100000\n61282 91911\n81790 100000\n12839 19202\n36336 54408\n96463 100000\n60073 90070\n4121 6125\n80419 100000\n78505 100000\n86731 100000\n37224 55747\n92710 100000\n56509 84705\n59555 89274\n96743 100000\n30605 45780\n4811 7154\n23763 35558\n93879 100000\n80855 100000\n50609 75851\n1007 1508\n40949 61374\n92882 100000\n42897 64276\n78131 100000\n98905 100000\n64139 96183\n53260 79847\n61480 92211\n50671 75949\n86070 100000\n22397 33524\n59781 89625\n15791 23606\n75460 100000\n84065 100000\n93259 100000\n20509 30665\n13448 20109\n75643 100000\n88049 100000\n89858 100000\n59286 88868\n19819 29637\n55543 83243\n72563 100000\n68572 100000\n57723 86525\n4127 6135\n39246 58786\n33453 50038\n6566 9784\n38586 57798\n19363 28959\n7592 11319\n48545 72752\n31439 47044\n33752 50489\n78013 100000\n24840 37185\n79365 100000\n79163 100000\n29429 44000\n72670 100000\n29661 44359\n66207 99308\n81825 100000\n94767 100000\n92314 100000\n6052 9018\n83577 100000\n9998 14925\n2975 4436\n12820 19175\n82484 100000\n9413 14039\n88281 100000\n44990 67392\n55152 82653\n15391 22993\n96709 100000\n90315 100000\n95065 100000\n63316 94963\n86334 100000\n4271 6351\n89120 100000\n88870 100000\n53286 79884\n24510 36696\n44356 66455\n64751 97094\n32428 48518\n64423 96609\n50336 75457\n89404 100000\n85134 100000\n89818 100000\n73788 100000\n29361 43899\n35142 52576\n79828 100000\n40183 60192\n51571 77306\n20018 29921\n16063 24017\n98722 100000\n5248 7815\n64925 97361\n46858 70224\n61649 92466\n39825 59660\n85252 100000\n4148 6169\n30508 45628\n84725 100000\n33285 49788\n25620 38345\n37129 55605\n41525 62232\n22014 32938\n62473 93693\n9150 13644\n91259 100000\n80077 100000\n11818 17673\n6922 10319\n66025 99032\n64739 97077\n9055 13505\n27294 40837\n40147 60141\n17311 25865\n87076 100000\n41458 62130\n70763 100000\n46555 69757\n45766 68569\n76995 100000\n3893 5783\n76770 100000\n94205 100000\n30242 45235\n77243 100000\n31381 46952\n23897 35766\n90399 100000\n11750 17571\n56763 85081\n35960 53828\n16106 24081\n34627 51803\n18662 27898\n62070 93107\n27608 41298\n87109 100000\n3615 5370\n9979 14895\n42529 63727\n54668 81938\n40470 60625\n12310 18416\n59581 89311\n99693 100000\n79793 100000\n20465 30597\n55174 82692\n90231 100000\n83029 100000\n93228 100000\n79771 100000\n50029 75002\n21143 31621\n5159 7682\n65800 98694\n12830 19188\n31940 47797\n74985 100000\n63861 95773\n58936 88340\n68773 100000\n60961 91421\n61317 91967\n57891 86773\n99565 100000\n82068 100000\n27352 40921\n75443 100000\n96432 100000\n26170 39174\n31087 46505\n8940 13333\n26032 38960\n24758 37062\n91447 100000\n54348 81468\n39229 58762\n64670 96976\n45684 68441\n73202 100000\n47899 71795\n27554 41216\n63960 95923\n15002 22417\n31947 47808\n57303 85875\n42241 63299\n34398 51474\n32471 48583\n44172 66198\n11755 17578\n15688 23450\n38300 57361\n75330 100000\n10394 15518\n84272 100000\n74337 100000\n68355 100000\n31365 46931\n47958 71886\n77969 100000\n43583 65319\n26806 40126\n77601 100000\n45115 67583\n3596 5342\n36095 54042\n84589 100000\n62360 93533\n28487 42600\n20745 31025\n54484 81670\n93158 100000\n603 900\n56143 84147\n4637 6894\n92920 100000\n99204 100000\n1095 1640\n57451 86106\n93005 100000\n45207 67726\n95235 100000\n54701 81990\n2906 4339\n79576 100000\n30890 46224\n42322 63414\n92629 100000\n34858 52143\n47928 71840\n91424 100000\n13304 19893\n72631 100000\n27782 41552\n9282 13840\n86659 100000\n32378 48444\n16093 24064\n43783 65615\n53946 80872\n33111 49532\n59061 88527\n66604 99904\n51984 77925\n90375 100000\n6909 10301\n86644 100000\n6209 9260\n26601 39821\n55671 83426\n2878 4296\n19725 29494\n64231 96317\n8455 12589\n94223 100000\n2446 3660\n40954 61382\n21728 32504\n76628 100000\n6359 9479\n76379 100000\n46874 70248\n52108 78103\n1182 1766\n75563 100000\n17243 25759\n77867 100000\n55338 82936\n14295 21358\n81772 100000\n67732 100000\n27408 41009\n25850 38692\n76068 100000\n74844 100000\n89756 100000\n55856 83711\n21405 32013\n31278 46794\n77133 100000\n83557 100000\n7748 11549\n87455 100000\n25644 38380\n41859 62725\n96090 100000\n3245 4835\n81768 100000\n23664 35419\n54636 81890\n17255 25779\n97725 100000\n33243 49725\n41046 61524\n2611 3907\n97015 100000\n3336 4959\n8118 12081\n20327 30388\n4425 6582\n14596 21803\n60909 91341\n69784 100000\n65326 97983\n97313 100000\n9356 13951\n84432 100000\n3409 5065\n37701 56469\n55196 82725\n98391 100000\n1631 2426\n53580 80321\n2331 3492\n87874 100000\n17215 25719\n88030 100000\n544 815\n84379 100000\n30784 46054\n40184 60193\n88614 100000\n63401 95082\n62170 93256\n5732 8534\n7716 11509\n52020 77971\n3918 5817\n20365 30447\n57123 85614\n53597 80348\n38143 57126\n30407 45476\n7702 11489\n98276 100000\n12274 18369\n25739 38522\n58531 87737\n31418 47008\n85878 100000\n79278 100000\n12982 19411\n45584 68286\n21965 32862\n69219 100000\n82829 100000\n25187 37697\n26080 39032\n10688 15942\n38323 57398\n38613 57838\n57743 86553\n47305 70904\n56725 85027\n46271 69323\n66628 99939\n9905 14783\n46406 69534\n91106 100000\n38386 57498\n2383 3569\n99184 100000\n93413 100000\n19347 28935\n37276 55827\n22612 33843\n80977 100000\n14886 22247\n36006 53898\n27787 41560\n91264 100000\n68234 100000\n40719 61022\n19686 29437\n14122 21103\n57274 85838\n28455 42561\n38373 57478\n86703 100000\n37711 56485\n30032 44919\n7388 11018\n55404 83035\n84462 100000\n13518 20215\n63256 94873\n78592 100000\n32749 48982\n47430 71089\n63768 95628\n77473 100000\n1331 1990\n81127 100000\n64150 96200\n6071 9048\n11576 17296\n76732 100000\n21745 32526\n88689 100000\n18762 28052\n24773 37086\n51385 77035\n73854 100000\n85569 100000\n49326 73935\n98264 100000\n45249 67790\n64849 97247\n62148 93222\n25242 37780\n69544 100000\n93305 100000\n16075 24036\n99501 100000\n12272 18365\n90229 100000\n70649 100000\n55147 82647\n177 258\n59530 89234\n39312 58887\n96519 100000\n18174 27167\n92110 100000\n61441 92154\n55437 83088\n93692 100000\n56668 84937\n26816 40140\n155 229\n28812 43082\n55602 83327\n41834 62689\n83433 100000\n43135 64637\n88233 100000\n57972 86894\n87375 100000\n57986 86911\n65382 98069\n43694 65483\n43703 65498\n77111 100000\n84678 100000\n52938 79375\n9933 14828\n75981 100000\n58577 87804\n4760 7075\n27252 40779\n21240 31768\n25932 38812\n92657 100000\n38236 57263\n46576 69790\n28911 43222\n61903 92855\n28287 42311\n40270 60327\n75581 100000\n30753 46007\n74578 100000\n38638 57874\n26794 40106\n74706 100000\n81587 100000\n47221 70778\n3122 4651\n75875 100000\n3139 4675\n31089 46508\n81208 100000\n48512 72705\n29944 44790\n67529 100000\n87423 100000\n92050 100000\n42017 62964\n42900 64280\n20876 31215\n78556 100000\n31241 46736\n66781 100000\n73081 100000\n48803 73140\n50930 76346\n57466 86129\n28504 42623\n38547 57742\n1828 2731\n51526 77237\n32410 48490\n7481 11155\n60173 90218\n35366 52913\n18899 28255\n58460 87630\n14591 21794\n59611 89363\n35720 53456\n94783 100000\n7045 10501\n17873 26732\n47290 70881\n58385 87518\n59112 88603\n30641 45837\n71784 100000\n74114 100000\n93360 100000\n95727 100000\n61721 92584\n6727 10018\n69499 100000\n87113 100000\n45941 68826\n96559 100000\n69820 100000\n78263 100000\n82502 100000\n89789 100000\n62681 94006\n44756 67038\n26916 40282\n41134 61651\n152 224\n2346 3513\n68362 100000\n43574 65306\n18215 27225\n83700 100000\n79869 100000\n16601 24808\n20215 30205\n33469 50062\n47435 71097\n44631 66850\n95427 100000\n24791 37115\n56160 84171\n46781 70104\n98890 100000\n6102 9094\n20128 30082\n51268 76855\n51546 77269\n11399 17014\n84257 100000\n22134 33122\n72922 100000\n46884 70263\n38918 58283\n70554 100000\n25780 38588\n93517 100000\n24127 36105\n50427 75589\n21494 32148\n50916 76323\n15326 22896\n17431 26055\n30311 45334\n49542 74267\n49996 74954\n21997 32911\n47589 71328\n19153 28639\n92762 100000\n99331 100000\n99574 100000\n20293 30332\n74556 100000\n14954 22351\n91759 100000\n36757 55050\n44965 67354\n56045 83993\n77001 100000\n25912 38780\n68891 100000\n63903 95839\n57210 85742\n69558 100000\n98609 100000\n64542 96785\n75441 100000\n64961 97411\n1435 2148\n65240 97840\n83775 100000\n4594 6831\n11479 17146\n61495 92233\n95038 100000\n3489 5182\n59106 88592\n81471 100000\n29484 44081\n31413 47000\n46979 70409\n34989 52349\n63653 95446\n39552 59256\n37436 56072\n93732 100000\n27573 41244\n47461 71136\n73811 100000\n93433 100000\n34316 51343\n96397 100000\n42950 64366\n51931 77843\n61063 91573\n57048 85510\n20659 30896\n63398 95079\n62667 93985\n10134 15126\n63619 95398\n67466 100000\n10841 16172\n9491 14157\n60537 90783\n80946 100000\n71816 100000\n88129 100000\n81289 100000\n74078 100000\n85443 100000\n83883 100000\n8497 12657\n26453 39603\n36567 54759\n24004 35926\n7020 10466\n64443 96640\n14583 21784\n46597 69824\n69833 100000\n35992 53878\n90750 100000\n29764 44518\n76866 100000\n11995 17945\n92193 100000\n12068 18063\n56176 84195\n75893 100000\n10561 15762\n73109 100000\n74102 100000\n4297 6392\n45241 67777\n27314 40866\n89760 100000\n65646 98466\n7809 11632\n78650 100000\n61640 92454\n20653 30888\n37478 56138\n44893 67240\n41673 62445\n18235 27256\n60683 91006\n87459 100000\n75160 100000\n66808 100000\n71319 100000\n15400 23009\n41808 62644\n87939 100000\n65442 98161\n13138 19651\n4570 6792\n88368 100000\n13583 20311\n51168 76703\n43822 65674\n80395 100000\n68012 100000\n16996 25396\n16566 24757\n89849 100000\n76031 100000\n13676 20439\n37927 56803\n13268 19837\n89559 100000\n97086 100000\n40771 61103\n6335 9446\n54025 80985\n49832 74706\n8827 13160\n12913 19311\n80139 100000\n73608 100000\n73310 100000\n2330 3490\n70640 100000\n17152 25626\n25100 37572\n28773 43023\n98205 100000\n74220 100000\n97412 100000\n47080 70562\n73551 100000\n52001 77947\n19854 29689\n81980 100000\n69373 100000\n45815 68638\n73566 100000\n22908 34298\n65543 98315\n51297 76897\n83688 100000\n20417 30528\n10038 14986\n65690 98531\n2100 3149\n75594 100000\n43875 65754\n75265 100000\n1140 1703\n87848 100000\n64341 96480\n95472 100000\n80659 100000\n30289 45304\n80566 100000\n96882 100000\n64054 96059\n85044 100000\n15352 22935\n65989 98980\n75474 100000\n91450 100000\n53257 79842\n67552 100000\n37541 56233\n27044 40466\n95574 100000\n60232 90314\n40947 61372\n35678 53395\n15361 22948\n44673 66917\n80398 100000\n67782 100000\n55738 83524\n75463 100000\n79283 100000\n88047 100000\n60122 90146\n5798 8631\n55400 83030\n31638 47337\n74735 100000\n80853 100000\n78065 100000\n5615 8361\n61823 92731\n53190 79740\n5740 8543\n4405 6549\n56004 83935\n64438 96632\n25303 37872\n93258 100000\n86779 100000\n507 758\n92488 100000\n22782 34100\n6395 9532\n37413 56036\n56972 85393\n88293 100000\n79288 100000\n65364 98043\n7294 10877\n28762 43007\n94193 100000\n29685 44397\n56093 84066\n55251 82809\n63669 95471\n98297 100000\n41585 62315\n65455 98181\n76515 100000\n1627 2419\n26086 39042\n46585 69804\n92527 100000\n59993 89941\n59807 89665\n30525 45655\n52256 78329\n42379 63505\n68143 100000\n65616 98422\n94027 100000\n70040 100000\n56580 84806\n29794 44562\n82074 100000\n82934 100000\n80446 100000\n94089 100000\n46018 68948\n63410 95096\n86774 100000\n74781 100000\n40474 60631\n79067 100000\n79314 100000\n22675 33935\n67559 100000\n42998 64435\n25772 38574\n97881 100000\n25536 38216\n13530 20230\n94415 100000\n65323 97978\n1534 2289\n9782 14594\n25469 38122\n29658 44354\n54913 82306\n39984 59895\n56924 85326\n67900 100000\n10777 16078\n47108 70606\n45312 67885\n27273 40807\n52492 78687\n2515 3767\n50216 75270\n3855 5724\n44248 66300\n6387 9520\n68821 100000\n22584 33802\n29217 43683\n79553 100000\n9620 14350\n99438 100000\n33625 50295\n81184 100000\n25346 37938\n49825 74694\n70134 100000\n7291 10873\n97884 100000\n5032 7492\n53373 80014\n35272 52769\n19350 28940\n65727 98585\n40956 61385\n31675 47393\n16268 24321\n77469 100000\n34940 52271\n84704 100000\n7997 11905\n35308 52822\n17224 25732\n37740 56526\n66873 100000\n13467 20138\n59096 88576\n71629 100000\n1669 2487\n55242 82796\n94888 100000\n34188 51141\n53948 80875\n41020 61482\n17453 26088\n53665 80450\n46933 70336\n43161 64671\n53080 79579\n5820 8667\n62078 93119\n86700 100000\n51308 76912\n26635 39874\n15754 23552\n9001 13424\n27731 41479\n82449 100000\n51616 77372\n76233 100000\n81337 100000\n6759 10061\n66300 99448\n2041 3059\n78018 100000\n80817 100000\n31491 47122\n29312 43822\n24140 36127\n72310 100000\n18379 27475\n75694 100000\n28048 41948\n64783 97147\n54445 81611\n68531 100000\n20009 29909\n33981 50832\n40544 60749\n19233 28760\n66593 99886\n52052 78022\n12082 18080\n35612 53298\n29009 43372\n68582 100000\n88606 100000\n70429 100000\n89368 100000\n47371 71003\n54989 82423\n4580 6809\n24963 37360\n12709 19004\n58138 87147\n29157 43592\n13196 19737\n71914 100000\n45957 68848\n6555 9768\n82314 100000\n48793 73124\n26690 39956\n3098 4617\n4039 6001\n93093 100000\n24591 36817\n18483 27628\n22818 34156\n22238 33275\n12601 18840\n34912 52229\n74818 100000\n16271 24325\n85321 100000\n47842 71710\n1535 2291\n43568 65297\n72303 100000\n96832 100000\n58824 88183\n29010 43373\n83025 100000\n90031 100000\n46354 69451\n67957 100000\n24693 36965\n79443 100000\n90056 100000\n55175 82694\n57386 86002\n76762 100000\n54366 81497\n30744 45996\n74787 100000\n35105 52519\n54697 81983\n46637 69886\n5681 8452\n8157 12141\n90233 100000\n81206 100000\n74523 100000\n48559 72775\n53417 80074\n25524 38201\n67020 100000\n70378 100000\n19969 29853\n54800 82140\n1840 2751\n18293 27343\n52852 79241\n78237 100000\n84929 100000\n51095 76591\n62842 94248\n55723 83502\n95904 100000\n92975 100000\n14999 22413\n46518 69705\n4462 6636\n88718 100000\n57747 86558\n97920 100000\n8642 12875\n73932 100000\n51790 77630\n24300 36371\n13871 20733\n78526 100000\n13632 20379\n20919 31280\n21044 31468\n13699 20474\n85013 100000\n84086 100000\n52283 78368\n97254 100000\n95664 100000\n5037 7502\n46298 69368\n31496 47130\n2471 3697\n58491 87677\n40765 61094\n64014 96003\n11781 17617\n31941 47799\n11160 16654\n64350 96496\n12107 18119\n56521 84724\n59964 89899\n88312 100000\n28230 42224\n532 793\n70132 100000\n37639 56379\n90387 100000\n93066 100000\n18496 27647\n38105 57073\n39429 59074\n99932 100000\n90691 100000\n11327 16909\n53420 80077\n76787 100000\n9095 13562\n38068 57017\n39970 59876\n92230 100000\n18075 27019\n95356 100000\n86713 100000\n902 1349\n55598 83321\n76921 100000\n7316 10911\n24432 36576\n32389 48460\n36525 54691\n11641 17401\n56614 84857\n4150 6171\n86444 100000\n24835 37179\n77512 100000\n1456 2179\n11855 17733\n85644 100000\n77900 100000\n60262 90360\n57280 85844\n31125 46562\n56665 84933\n5446 8116\n36437 54561\n13928 20814\n35136 52568\n14178 21185\n31172 46629\n61278 91905\n52570 78802\n12165 18201\n45699 68465\n26967 40357\n79958 100000\n26933 40305\n7489 11167\n75768 100000\n11054 16496\n18419 27530\n6533 9739\n32479 48594\n61754 92632\n71548 100000\n23669 35427\n53814 80675\n97911 100000\n17701 26461\n12573 18798\n55637 83379\n14111 21085\n11381 16988\n76984 100000\n66268 99397\n52891 79301\n83549 100000\n52275 78357\n52923 79353\n53783 80628\n42099 63088\n49451 74131\n63008 94497\n23604 35330\n89662 100000\n54596 81837\n95264 100000\n99923 100000\n48069 72051\n94996 100000\n89280 100000\n37030 55456\n39050 58486\n92462 100000\n73299 100000\n32488 48605\n16900 25251\n3103 4623\n38033 56962\n98325 100000\n77346 100000\n47151 70672\n5203 7753\n7960 11851\n68494 100000\n55544 83244\n76436 100000\n8852 13198\n33959 50800\n38139 57120\n42188 63219\n24689 36960\n41169 61708\n41469 62149\n29701 44425\n7252 10814\n66655 99979\n54456 81628\n50829 76192\n99781 100000\n9306 13875\n19848 29681\n61622 92429\n1083 1624\n6930 10331\n48466 72637\n56105 84085\n7018 10462\n16198 24217\n43838 65699\n6192 9237\n13903 20781\n97520 100000\n54014 80967\n28987 43336\n64780 97143\n90810 100000\n21397 32000\n56046 83994\n9922 14812\n48746 73047\n19890 29739\n35982 53861\n39118 58590\n43457 65131\n86546 100000\n78972 100000\n45344 67934\n21733 32510\n87029 100000\n36896 55255\n18190 27189\n58709 88004\n4016 5965\n7661 11424\n45227 67755\n87743 100000\n46816 70159\n24054 35999\n98632 100000\n91748 100000\n90414 100000\n51182 76727\n28999 43356\n95149 100000\n83187 100000\n24794 37120\n23287 34861\n10326 15409\n61269 91893\n21712 32479\n7674 11445\n53940 80862\n19325 28900\n18344 27425\n55273 82840\n94209 100000\n67944 100000\n63406 95089\n98157 100000\n26687 39952\n11329 16912\n22904 34293\n2914 4350\n92399 100000\n76319 100000\n61254 91868\n70911 100000\n76140 100000\n75405 100000\n30278 45287\n41324 61924\n42603 63831\n95764 100000\n18435 27555\n97778 100000\n60171 90216\n73210 100000\n55275 82843\n41339 61947\n64122 96156\n63034 94537\n77883 100000\n59702 89503\n33675 50372\n88639 100000\n6667 9925\n56351 84459\n95232 100000\n51031 76498\n61765 92647\n50561 75788\n81258 100000\n21782 32578\n5559 8281\n39301 58868\n71123 100000\n74918 100000\n49657 74439\n59527 89230\n41560 62281\n31430 47029\n75680 100000\n54046 81014\n53325 79945\n17439 26067\n8546 12738\n44806 67108\n30435 45519\n8645 12880\n26971 40365\n48734 73028\n77181 100000\n41759 62573\n35866 53685\n28448 42550\n86910 100000\n93540 100000\n71790 100000\n42607 63836\n90991 100000\n32668 48859\n64886 97300\n29880 44690\n97047 100000\n13165 19692\n48367 72489\n31470 47091\n19946 29821\n86300 100000\n34521 51651\n92656 100000\n17610 26318\n83197 100000\n68676 100000\n62355 93526\n84360 100000\n79086 100000\n15959 23866\n49132 73642\n85807 100000\n42831 64174\n29102 43511\n12401 18547\n2538 3803\n46011 68936\n51211 76769\n55378 82998\n24712 36994\n68069 100000\n70316 100000\n79682 100000\n29587 44243\n10699 15958\n36949 55332\n61520 92271\n24463 36626\n824 1233\n83271 100000\n21294 31850\n85597 100000\n8564 12765\n20675 30920\n34855 52138\n72205 100000\n88584 100000\n68976 100000\n18652 27881\n28552 42692\n96721 100000\n81141 100000\n88822 100000\n28351 42408\n88717 100000\n32518 48648\n36114 54073\n91519 100000\n39009 58422\n38981 58381\n41150 61676\n72433 100000\n44163 66184\n11725 17532\n85210 100000\n44532 66710\n98783 100000\n89613 100000\n1875 2806\n89494 100000\n18093 27046\n1390 2078\n96818 100000\n46445 69599\n73824 100000\n66341 99508\n87328 100000\n66058 99082\n7132 10636\n68852 100000\n39739 59528\n62572 93842\n73933 100000\n3626 5387\n57715 86512\n42844 64195\n28015 41900\n86705 100000\n72798 100000\n12663 18935\n19248 28786\n64817 97198\n96372 100000\n61077 91595\n14283 21342\n27955 41806\n9987 14907\n41207 61763\n91754 100000\n8126 12091\n60114 90132\n76246 100000\n36498 54648\n77856 100000\n61790 92682\n20345 30415\n1679 2502\n33775 50521\n65599 98399\n43084 64565\n15644 23385\n81531 100000\n42697 63973\n51359 76990\n95310 100000\n75933 100000\n70786 100000\n89564 100000\n14513 21681\n44672 66915\n95372 100000\n92858 100000\n81284 100000\n66936 100000\n58291 87377\n79424 100000\n87553 100000\n37578 56285\n63187 94768\n40228 60265\n54019 80976\n46257 69304\n58139 87148\n86014 100000\n32051 47960\n87462 100000\n55609 83338\n3814 5666\n95590 100000\n84846 100000\n6651 9903\n45275 67829\n69177 100000\n3526 5239\n59942 89864\n77249 100000\n98794 100000\n62986 94465\n41709 62496\n99355 100000\n86039 100000\n49603 74362\n3121 4649\n53349 79978\n91806 100000\n44808 67110\n18020 26935\n32574 48722\n1220 1826\n71954 100000\n57046 85507\n81747 100000\n92736 100000\n92861 100000\n72093 100000\n36514 54675\n53943 80867\n3022 4508\n96804 100000\n47793 71632\n33552 50185\n73569 100000\n54984 82416\n59350 88962\n79471 100000\n87770 100000\n37967 56859\n73132 100000\n55561 83269\n78175 100000\n62849 94259\n56297 84378\n97612 100000\n31659 47371\n90693 100000\n56778 85106\n61605 92402\n54049 81019\n26242 39282\n74360 100000\n40518 60705\n47784 71620\n20569 30756\n41137 61654\n46548 69748\n76225 100000\n46530 69720\n65146 97698\n73206 100000\n25171 37673\n82707 100000\n84863 100000\n6742 10037\n97862 100000\n41912 62805\n77442 100000\n70531 100000\n17489 26140\n26660 39914\n79749 100000\n35800 53583\n15610 23334\n24477 36646\n73833 100000\n91868 100000\n20356 30432\n70735 100000\n99650 100000\n52477 78665\n87718 100000\n34155 51095\n67201 100000\n34565 51713\n61312 91960\n43147 64652\n12285 18386\n11471 17132\n49573 74315\n67980 100000\n10869 16215\n90274 100000\n46970 70398\n27281 40818\n80576 100000\n30228 45214\n98464 100000\n11325 16906\n95593 100000\n99090 100000\n71162 100000\n66391 99585\n59117 88609\n62584 93858\n23559 35263\n16547 24734\n35330 52854\n39755 59551\n93127 100000\n48887 73266\n13438 20097\n93916 100000\n1482 2213\n69783 100000\n88466 100000\n80259 100000\n45094 67548\n92647 100000\n6852 10210\n3706 5511\n29167 43606\n44367 66469\n81404 100000\n9140 13629\n54304 81403\n88321 100000\n87288 100000\n21279 31830\n58355 87471\n53518 80225\n62837 94240\n70238 100000\n24316 36398\n56048 83998\n79002 100000\n26647 39891\n76453 100000\n87461 100000\n66409 99612\n79765 100000\n20656 30893\n73079 100000\n67474 100000\n7275 10846\n93659 100000\n96073 100000\n11689 17475\n60774 91141\n21369 31958\n35835 53638\n23729 35511\n85492 100000\n72738 100000\n98690 100000\n54969 82394\n65494 98243\n16851 25175\n31990 47873\n15071 22517\n87070 100000\n35730 53474\n9596 14316\n74061 100000\n68179 100000\n72442 100000\n28346 42400\n4389 6528\n84703 100000\n33312 49825\n76878 100000\n23885 35748\n77884 100000\n61488 92223\n54712 82007\n96464 100000\n35547 53204\n31747 47505\n86106 100000\n54868 82243\n93579 100000\n95855 100000\n55870 83734\n46913 70307\n56178 84198\n27052 40478\n47749 71565\n89925 100000\n8165 12152\n63263 94884\n97249 100000\n67699 100000\n7780 11593\n32061 47974\n10676 15925\n95060 100000\n91621 100000\n84968 100000\n86723 100000\n35677 53393\n49653 74432\n818 1225\n72682 100000\n14740 22023\n6921 10318\n30085 44998\n12026 17995\n84210 100000\n43740 65551\n41402 62047\n71417 100000\n12185 18229\n52197 78241\n57902 86791\n98160 100000\n29168 43607\n91151 100000\n70153 100000\n7382 11009\n48521 72717\n23841 35680\n7041 10497\n21765 32554\n11932 17846\n83159 100000\n74288 100000\n37404 56023\n29369 43910\n23991 35904\n58028 86978\n51277 76868\n96524 100000\n18507 27663\n42306 63391\n12563 18782\n8120 12084\n23644 35388\n91602 100000\n68617 100000\n5714 8503\n57198 85724\n96762 100000\n90013 100000\n608 907\n54418 81569\n1581 2358\n8194 12196\n82303 100000\n29642 44330\n55189 82714\n99445 100000\n85160 100000\n1288 1932\n51232 76802\n37460 56113\n17150 25623\n80040 100000\n28431 42524\n93524 100000\n35918 53766\n9184 13695\n64573 96829\n56142 84145\n79804 100000\n34326 51359\n44434 66567\n32177 48150\n23165 34670\n82148 100000\n91460 100000\n97709 100000\n15868 23724\n27166 40655\n68084 100000\n75444 100000\n92529 100000\n97390 100000\n22922 34320\n85763 100000\n49620 74387\n74518 100000\n69369 100000\n67563 100000\n43317 64911\n56035 83976\n36856 55205\n94738 100000\n92979 100000\n89824 100000\n83720 100000\n8244 12272\n21656 32396\n89518 100000\n30831 46131\n64259 96359\n82403 100000\n41906 62795\n62269 93400\n47710 71502\n85014 100000\n59176 88696\n72793 100000\n70626 100000\n95222 100000\n6305 9402\n50252 75326\n33360 49898\n98120 100000\n949 1420\n9071 13524\n21214 31728\n26047 38979\n47339 70954\n86750 100000\n12075 18072\n12765 19091\n16276 24331\n1023 1530\n5142 7655\n89095 100000\n45576 68274\n57495 86174\n81269 100000\n59587 89321\n60362 90514\n27676 41399\n93128 100000\n91677 100000\n61533 92290\n87151 100000\n73427 100000\n16687 24932\n40205 60228\n28671 42869\n74946 100000\n59208 88745\n20939 31310\n74432 100000\n15371 22964\n23643 35387\n28239 42238\n30848 46158\n86936 100000\n90122 100000\n75968 100000\n62522 93769\n82277 100000\n91946 100000\n6141 9158\n68487 100000\n17465 26107\n93206 100000\n99926 100000\n90361 100000\n10166 15167\n39140 58627\n88958 100000\n79997 100000\n61797 92693\n45461 68106\n55580 83297\n65253 97861\n37878 56729\n83702 100000\n79245 100000\n35693 53416\n97212 100000\n15640 23378\n8517 12690\n12919 19319\n12585 18816\n97936 100000\n18828 28148\n22174 33179\n40659 60926\n55607 83336\n10199 15216\n86351 100000\n70185 100000\n55801 83622\n74546 100000\n74017 100000\n81969 100000\n11991 17938\n87148 100000\n82149 100000\n22520 33703\n71363 100000\n90085 100000\n8985 13399\n90348 100000\n52861 79255\n44968 67357\n57082 85556\n10052 15007\n77593 100000\n33720 50441\n12378 18512\n37600 56319\n76070 100000\n67720 100000\n2514 3766\n27798 41575\n98063 100000\n98404 100000\n31896 47729\n20774 31072\n39398 59024\n96848 100000\n59884 89773\n74350 100000\n79201 100000\n22768 34077\n25714 38487\n91840 100000\n80171 100000\n98542 100000\n135 197\n48724 73014\n81855 100000\n41847 62707\n37169 55669\n31980 47858\n5272 7851\n90421 100000\n36297 54352\n3874 5753\n85881 100000\n94761 100000\n28902 43209\n28771 43020\n86147 100000\n69740 100000\n80143 100000\n90239 100000\n10493 15664\n83858 100000\n3386 5035\n10801 16112\n50437 75603\n41238 61805\n9747 14544\n83353 100000\n45474 68127\n55774 83581\n81093 100000\n61937 92907\n60891 91314\n88034 100000\n54614 81859\n14226 21254\n37579 56287\n89192 100000\n14459 21597\n33819 50589\n29636 44323\n17915 26785\n89687 100000\n55592 83315\n20390 30486\n57434 86079\n7466 11131\n61509 92253\n75863 100000\n92437 100000\n74425 100000\n35867 53686\n59454 89116\n1642 2443\n69290 100000\n2199 3290\n47821 71677\n69404 100000\n64889 97305\n15229 22754\n10283 15340\n90030 100000\n68974 100000\n93572 100000\n9955 14859\n89236 100000\n52004 77950\n87610 100000\n17263 25791\n81697 100000\n78684 100000\n3178 4735\n21525 32195\n75781 100000\n16605 24814\n55170 82684\n90180 100000\n99044 100000\n63146 94708\n59481 89159\n21059 31488\n79918 100000\n51068 76553\n75873 100000\n17298 25845\n91697 100000\n12146 18174\n57020 85464\n20669 30910\n78441 100000\n41102 61604\n88089 100000\n79598 100000\n43585 65322\n88399 100000\n91556 100000\n94141 100000\n63630 95414\n34185 51137\n74154 100000\n35951 53814\n87308 100000\n77085 100000\n54992 82428\n83727 100000\n13788 20614\n24283 36343\n57914 86811\n63021 94516\n56793 85127\n96591 100000\n2510 3760\n9586 14303\n83347 100000\n99161 100000\n74421 100000\n7776 11587\n42989 64421\n97856 100000\n47598 71340\n51694 77491\n96400 100000\n59307 88899\n99344 100000\n14989 22399\n93063 100000\n55966 83880\n86195 100000\n59706 89509\n36344 54421\n31944 47804\n16998 25399\n23354 34959\n43957 65876\n24783 37103\n29125 43542\n12001 17956\n82907 100000\n52402 78546\n45685 68442\n93717 100000\n67443 100000\n66425 99636\n38891 58251\n67865 100000\n42906 64292\n94978 100000\n48933 73337\n67843 100000\n76051 100000\n51405 77061\n5231 7789\n42327 63421\n24903 37274\n22422 33558\n96377 100000\n15590 23303\n72296 100000\n30299 45317\n499 743\n11511 17200\n73063 100000\n12854 19223\n84551 100000\n77286 100000\n44441 66579\n60273 90376\n37426 56055\n74663 100000\n88051 100000\n54160 81190\n23565 35271\n91866 100000\n95653 100000\n25595 38308\n43623 65379\n90142 100000\n67001 100000\n47951 71875\n79134 100000\n31786 47564\n37117 55587\n22395 33521\n42123 63123\n96589 100000\n51113 76617\n38839 58173\n22710 33990\n28490 42604\n29779 44540\n38182 57182\n78780 100000\n37211 55728\n55135 82631\n94247 100000\n24513 36702\n65081 97593\n71008 100000\n35466 53075\n32405 48483\n29559 44201\n99067 100000\n57904 86794\n12181 18223\n42696 63972\n14609 21824\n60151 90187\n11363 16962\n83517 100000\n25717 38492\n73316 100000\n20229 30226\n35025 52403\n9642 14382\n9784 14598\n57051 85514\n32353 48412\n11448 17094\n65231 97826\n42034 62992\n62000 93000\n38895 58257\n37873 56720\n77108 100000\n40502 60677\n15945 23845\n53052 79542\n81541 100000\n29300 43804\n32782 49030\n9376 13983\n54103 81101\n75804 100000\n3625 5385\n5022 7475\n27176 40670\n98978 100000\n67002 100000\n75121 100000\n39922 59801\n23070 34534\n22931 34335\n37965 56855\n22392 33517\n29918 44750\n68086 100000\n21726 32502\n97466 100000\n64642 96934\n91068 100000\n94839 100000\n4932 7336\n36624 54851\n25173 37676\n79564 100000\n43106 64595\n44317 66400\n10767 16062\n2780 4143\n14853 22193\n26774 40078\n32862 49152\n97070 100000\n36057 53977\n40848 61226\n27762 41523\n78174 100000\n5171 7702\n69157 100000\n66481 99718\n52011 77959\n3087 4600\n68198 100000\n54473 81654\n69696 100000\n21379 31974\n92183 100000\n86886 100000\n23244 34792\n1616 2403\n17972 26865\n50236 75301\n64580 96838\n39850 59696\n57480 86150\n85586 100000\n87635 100000\n65750 98623\n83817 100000\n93047 100000\n64462 96667\n60978 91444\n92306 100000\n29900 44721\n81447 100000\n22315 33394\n80254 100000\n3910 5805\n28894 43199\n93555 100000\n18469 27605\n14397 21506\n42418 63563\n62645 93954\n93904 100000\n16509 24675\n37333 55919\n98281 100000\n42137 63143\n77389 100000\n12094 18098\n19420 29039\n2051 3073\n8924 13309\n68529 100000\n51946 77865\n17446 26079\n75179 100000\n84178 100000\n39027 58450\n45851 68691\n58822 88181\n17696 26454\n58633 87889\n56475 84648\n83339 100000\n76305 100000\n50072 75066\n71740 100000\n48210 72257\n1301 1948\n7317 10913\n83505 100000\n58630 87883\n96899 100000\n64280 96392\n8373 12465\n82810 100000\n95234 100000\n2677 4001\n43886 65773\n7269 10836\n32419 48504\n84377 100000\n89588 100000\n15797 23615\n93950 100000\n80672 100000\n44600 66810\n94493 100000\n81952 100000\n69935 100000\n60352 90500\n56675 84950\n42795 64118\n53065 79560\n11772 17604\n74655 100000\n14256 21299\n29388 43937\n89364 100000\n57062 85529\n93184 100000\n37624 56356\n53930 80847\n1593 2373\n62083 93128\n45876 68730\n11302 16871\n93053 100000\n72490 100000\n31543 47199\n49807 74664\n65415 98122\n77597 100000\n28858 43149\n22902 34289\n30391 45455\n93073 100000\n21406 32014\n58096 87082\n26164 39167\n83254 100000\n83876 100000\n527 785\n75274 100000\n60146 90180\n63798 95674\n5472 8155\n73192 100000\n94082 100000\n26958 40344\n85250 100000\n37213 55731\n61094 91620\n67905 100000\n48550 72759\n60691 91018\n26439 39581\n11462 17116\n49525 74242\n37937 56817\n58564 87784\n3965 5889\n55303 82886\n216 323\n58281 87361\n9235 13767\n23525 35213\n54569 81798\n45538 68219\n35517 53156\n14468 21609\n85889 100000\n44209 66250\n19261 28804\n79023 100000\n57203 85732\n65921 98869\n201 298\n34411 51493\n59274 88849\n13240 19798\n16716 24977\n72106 100000\n56022 83961\n30321 45346\n87408 100000\n58208 87250\n98927 100000\n57073 85546\n34156 51097\n28740 42976\n66327 99489\n5695 8472\n50534 75751\n81359 100000\n22049 32989\n13275 19848\n85619 100000\n88041 100000\n41581 62308\n81662 100000\n75340 100000\n96582 100000\n78816 100000\n46598 69826\n95719 100000\n91971 100000\n64406 96585\n21357 31942\n35044 52431\n86051 100000\n40881 61274\n99446 100000\n4067 6037\n86072 100000\n49479 74171\n49247 73815\n7293 10876\n28479 42590\n45522 68196\n18384 27482\n87934 100000\n79974 100000\n80508 100000\n92236 100000\n17395 25999\n46259 69307\n98050 100000\n90236 100000\n75621 100000\n25905 38769\n61140 91687\n33420 49988\n22923 34322\n61598 92390\n28824 43099\n27478 41107\n79748 100000\n57351 85951\n72839 100000\n10739 16019\n87735 100000\n34886 52187\n52024 77978\n67283 100000\n94427 100000\n90680 100000\n31128 46567\n76849 100000\n55597 83320\n84949 100000\n9118 13596\n14165 21167\n59250 88809\n70987 100000\n30387 45448\n36928 55301\n10051 15005\n72537 100000\n66726 100000\n12173 18212\n69064 100000\n5682 8454\n98555 100000\n23496 35171\n53342 79968\n20935 31304\n1870 2797\n68184 100000\n60177 90225\n27625 41323\n77671 100000\n65696 98540\n66525 99783\n73826 100000\n97071 100000\n86634 100000\n73572 100000\n49651 74430\n67701 100000\n33410 49971\n41877 62751\n11814 17667\n5395 8038\n38795 58109\n3848 5717\n17444 26075\n43353 64965\n44133 66138\n38213 57228\n95459 100000\n41474 62155\n8430 12549\n56812 85156\n93280 100000\n61795 92689\n85657 100000\n63451 95157\n3233 4817\n62599 93881\n28807 43076\n12455 18623\n23879 35741\n23283 34856\n17793 26599\n42514 63704\n71238 100000\n68538 100000\n18737 28015\n65839 98750\n12646 18910\n22156 33154\n37508 56183\n16050 23998\n6967 10386\n23955 35850\n51344 76970\n89596 100000\n79048 100000\n53725 80542\n2224 3327\n22598 33823\n49213 73768\n68028 100000\n86499 100000\n69107 100000\n52980 79443\n81119 100000\n77285 100000\n40816 61177\n59049 88509\n91637 100000\n52041 78005\n51956 77883\n13319 19918\n94917 100000\n26573 39781\n4674 6950\n40991 61437\n2554 3829\n86188 100000\n55088 82565\n64831 97221\n94301 100000\n21424 32041\n91606 100000\n31368 46934\n57089 85567\n39154 58648\n33145 49586\n90534 100000\n10657 15897\n41771 62590\n53024 79509\n29176 43619\n4908 7298\n88881 100000\n17400 26007\n94927 100000\n38877 58231\n64103 96130\n81908 100000\n33218 49687\n81011 100000\n6971 10393\n33278 49776\n48086 72076\n2493 3733\n27116 40583\n34825 52098\n21403 32010\n85574 100000\n75573 100000\n37835 56662\n83306 100000\n48234 72291\n57234 85776\n48406 72548\n92158 100000\n4711 7002\n10724 15997\n26115 39089\n9592 14311\n51665 77446\n57889 86769\n38955 58340\n9794 14613\n46745 70050\n90059 100000\n26702 39971\n5101 7597\n26443 39587\n2177 3261\n56988 85414\n44001 65939\n20894 31246\n58973 88397\n53067 79563\n13616 20356\n41830 62682\n59018 88462\n73944 100000\n7319 10916\n65906 98847\n34016 50885\n71555 100000\n79753 100000\n94471 100000\n46732 70031\n84151 100000\n3041 4531\n67861 100000\n88413 100000\n70683 100000\n73755 100000\n46262 69310\n2553 3827\n67147 100000\n99011 100000\n58532 87739\n71267 100000\n50044 75026\n64094 96116\n34926 52250\n55205 82738\n20990 31384\n93417 100000\n13596 20329\n94721 100000\n78892 100000\n16861 25191\n48242 72303\n57483 86155\n37820 56638\n65835 98743\n56880 85261\n1674 2494\n71012 100000\n21457 32093\n77918 100000\n42772 64085\n93576 100000\n23723 35503\n59911 89814\n7234 10787\n9815 14648\n76016 100000\n20866 31202\n37655 56403\n19206 28715\n25666 38414\n60097 90103\n44318 66401\n4644 6905\n26208 39230\n62041 93064\n62967 94435\n32184 48162\n70962 100000\n49537 74259\n5627 8377\n40707 61003\n35071 52470\n24403 36535\n14903 22272\n94105 100000\n29396 43949\n88493 100000\n14127 21109\n15669 23426\n59054 88517\n53138 79664\n61963 92946\n21949 32840\n55440 83093\n35326 52848\n58662 87937\n58614 87860\n73281 100000\n6351 9469\n81858 100000\n63486 95208\n34075 50972\n32392 48466\n55323 82915\n52920 79348\n99964 100000\n78130 100000\n5650 8409\n45564 68256\n89684 100000\n74459 100000\n70061 100000\n54132 81148\n20579 30770\n8426 12542\n17548 26228\n63075 94600\n14905 22275\n34146 51081\n69130 100000\n71167 100000\n700 1048\n37988 56892\n75516 100000\n40916 61325\n47955 71881\n36888 55245\n87720 100000\n72050 100000\n35234 52717\n87228 100000\n67476 100000\n43976 65904\n28252 42257\n61629 92436\n54142 81164\n49769 74608\n10206 15228\n67365 100000\n89661 100000\n34010 50876\n53222 79788\n7305 10895\n2859 4265\n76690 100000\n95288 100000\n92854 100000\n74774 100000\n84175 100000\n31058 46466\n67933 100000\n18525 27690\n37838 56667\n5673 8443\n70013 100000\n72969 100000\n3709 5516\n30269 45272\n72918 100000\n53203 79759\n3311 4926\n44283 66348\n80900 100000\n51713 77520\n47960 71889\n38332 57412\n90630 100000\n63675 95481\n81111 100000\n89624 100000\n42321 63413\n55842 83691\n78213 100000\n34447 51543\n28784 43039\n45935 68814\n34599 51765\n90294 100000\n23758 35551\n77414 100000\n29709 44436\n20176 30150\n21697 32456\n45293 67857\n24798 37128\n94652 100000\n35036 52421\n7683 11457\n74260 100000\n98116 100000\n93995 100000\n58406 87551\n5744 8548\n58529 87735\n90202 100000\n86284 100000\n22233 33268\n35767 53532\n10203 15223\n75308 100000\n41241 61809\n82864 100000\n18408 27516\n54513 81717\n44258 66316\n4122 6126\n9281 13839\n92945 100000\n23153 34653\n23085 34557\n29915 44745\n84918 100000\n55899 83779\n5198 7745\n82240 100000\n16838 25155\n34064 50955\n81192 100000\n97793 100000\n79640 100000\n24129 36109\n18276 27318\n71144 100000\n57316 85896\n11845 17717\n80626 100000\n86817 100000\n32877 49175\n97991 100000\n26065 39007\n82051 100000\n8775 13074\n54488 81676\n97564 100000\n75306 100000\n42184 63214\n30637 45832\n39792 59609\n91605 100000\n34945 52278\n47451 71122\n87590 100000\n25347 37939\n84653 100000\n3941 5855\n65924 98874\n27042 40463\n51930 77841\n96768 100000\n59230 88778\n36555 54740\n57004 85440\n31291 46814\n34852 52133\n43117 64610\n26678 39939\n86126 100000\n29249 43729\n38959 58346\n70892 100000\n14563 21757\n64099 96125\n98142 100000\n46845 70204\n97334 100000\n38653 57896\n78622 100000\n32243 48248\n27432 41040\n56819 85165\n70011 100000\n31666 47381\n13329 19933\n55625 83361\n85490 100000\n67401 100000\n10859 16200\n43327 64927\n72065 100000\n36705 54971\n289 425\n78192 100000\n9333 13915\n38483 57648\n9153 13648\n45442 68077\n56134 84129\n86548 100000\n5314 7910\n3118 4645\n29970 44829\n27736 41487\n78134 100000\n87000 100000\n77450 100000\n69170 100000\n95988 100000\n5972 8893\n91923 100000\n88325 100000\n67354 100000\n91029 100000\n46511 69695\n36771 55071\n97535 100000\n948 1419\n60297 90415\n97488 100000\n50019 74988\n45863 68710\n7799 11618\n57206 85737\n9390 14003\n21478 32124\n32728 48946\n38144 57128\n63456 95166\n48382 72510\n70556 100000\n53958 80889\n14677 21926\n40819 61181\n223 334\n27341 40908\n64765 97117\n90731 100000\n96560 100000\n5263 7838\n43915 65820\n45799 68616\n72915 100000\n10153 15148\n80515 100000\n22935 34341\n14423 21541\n45602 68315\n38485 57650\n93482 100000\n66578 99864\n47250 70820\n66461 99689\n44156 66175\n99211 100000\n44509 66677\n15139 22618\n29505 44117\n1949 2917\n54537 81754\n6645 9894\n46669 69934\n48445 72603\n85380 100000\n69199 100000\n59518 89215\n76764 100000\n85923 100000\n728 1087\n89293 100000\n70524 100000\n10007 14940\n68233 100000\n61320 91972\n71480 100000\n80117 100000\n53491 80186\n56072 84030\n76775 100000\n79917 100000\n96388 100000\n43806 65649\n26974 40370\n74693 100000\n51073 76560\n77131 100000\n37687 56449\n53926 80840\n4245 6315\n89328 100000\n98317 100000\n82299 100000\n74863 100000\n86727 100000\n31 45\n34203 51165\n39902 59770\n45728 68508\n76018 100000\n61456 92176\n37997 56908\n81302 100000\n58684 87969\n11120 16592\n95649 100000\n18304 27361\n80865 100000\n68298 100000\n17994 26898\n40226 60261\n34369 51426\n97479 100000\n10402 15531\n12175 18215\n61924 92886\n73524 100000\n36730 55010\n70496 100000\n31925 47773\n89246 100000\n13912 20794\n92068 100000\n86088 100000\n63707 95529\n30694 45914\n80284 100000\n6635 9881\n83342 100000\n93210 100000\n79795 100000\n3796 5641\n84988 100000\n6629 9872\n92006 100000\n2388 3575\n66493 99735\n43480 65164\n61054 91557\n94621 100000\n74855 100000\n48835 73186\n27910 41740\n50085 75084\n65564 98345\n16259 24309\n81962 100000\n1409 2109\n13924 20809\n2491 3729\n27369 40947\n42447 63609\n95745 100000\n30105 45029\n98796 100000\n43387 65021\n37925 56801\n33283 49785\n13734 20526\n29260 43746\n54504 81702\n63082 94613\n21940 32827\n87676 100000\n63549 95301\n99795 100000\n70847 100000\n59486 89167\n48683 72956\n26268 39321\n57452 86107\n21778 32574\n53797 80652\n49489 74187\n76737 100000\n28179 42144\n76906 100000\n12884 19268\n14338 21419\n51392 77044\n80410 100000\n40740 61054\n83942 100000\n86111 100000\n97866 100000\n76280 100000\n34545 51685\n42682 63951\n21588 32292\n6264 9342\n47306 70905\n98047 100000\n35542 53198\n76910 100000\n87681 100000\n86115 100000\n60444 90637\n7124 10622\n31473 47096\n1316 1968\n75616 100000\n36218 54235\n43592 65335\n79109 100000\n29774 44533\n97896 100000\n77643 100000\n89971 100000\n52464 78646\n3457 5135\n19326 28901\n56130 84123\n42457 63624\n13963 20867\n62033 93051\n95412 100000\n36728 55006\n11017 16441\n4203 6250\n24225 36260\n94526 100000\n42994 64427\n78280 100000\n79014 100000\n21088 31536\n36245 54275\n73943 100000\n53888 80786\n27678 41401\n80530 100000\n79854 100000\n6230 9292\n20193 30174\n2867 4279\n74980 100000\n37872 56719\n82121 100000\n28647 42831\n68632 100000\n43526 65234\n87052 100000\n6840 10188\n37781 56586\n97227 100000\n97882 100000\n24388 36509\n18556 27739\n14222 21250\n25800 38618\n68646 100000\n4846 7206\n25175 37679\n95742 100000\n39465 59128\n35887 53719\n55980 83901\n920 1376\n29767 44521\n3351 4979\n27579 41252\n64489 96703\n92311 100000\n9949 14850\n34019 50891\n45648 68386\n20696 30950\n15869 23725\n79453 100000\n40306 60381\n78967 100000\n73479 100000\n89434 100000\n40515 60701\n24469 36635\n3152 4695\n41866 62736\n37587 56299\n19221 28741\n5620 8366\n76459 100000\n14673 21921\n38957 58343\n5087 7577\n71505 100000\n17611 26319\n97666 100000\n16128 24112\n23992 35906\n79447 100000\n55111 82595\n25144 37632\n20271 30293\n71600 100000\n74466 100000\n87007 100000\n52975 79434\n22280 33341\n76251 100000\n55498 83177\n25684 38443\n38432 57570\n27801 41580\n96771 100000\n9925 14816\n35495 53122\n6373 9498\n58428 87582\n44419 66544\n95818 100000\n21710 32476\n59400 89033\n23339 34936\n9114 13591\n70139 100000\n25155 37649\n37515 56193\n16662 24895\n64748 97090\n46819 70164\n57671 86443\n68193 100000\n460 687\n28069 41979\n87226 100000\n58765 88088\n84781 100000\n93485 100000\n92716 100000\n24205 36229\n90474 100000\n68588 100000\n37990 56895\n41674 62446\n11333 16917\n48973 73395\n50396 75547\n95089 100000\n77573 100000\n8787 13094\n84726 100000\n24378 36495\n88377 100000\n56062 84017\n81482 100000\n45516 68187\n80279 100000\n96918 100000\n14828 22154\n1657 2465\n29109 43518\n38868 58217\n51848 77721\n86834 100000\n5628 8378\n269 398\n83554 100000\n71556 100000\n8331 12401\n34805 52066\n41298 61886\n80014 100000\n63354 95018\n10350 15446\n421 625\n84776 100000\n31656 47365\n3798 5645\n71219 100000\n87450 100000\n64608 96881\n62894 94324\n98114 100000\n35711 53443\n84764 100000\n25114 37593\n93880 100000\n97919 100000\n54235 81300\n46893 70276\n24122 36099\n56533 84741\n31472 47095\n48799 73133\n37584 56294\n97831 100000\n86493 100000\n66393 99588\n66442 99659\n35531 53181\n79144 100000\n87081 100000\n5220 7776\n18711 27976\n96718 100000\n1675 2495\n20112 30060\n39182 58690\n51130 76644\n44338 66431\n3838 5702\n12232 18298\n27623 41319\n91467 100000\n12538 18745\n71083 100000\n75773 100000\n29212 43673\n80198 100000\n79335 100000\n30568 45720\n86094 100000\n48152 72176\n37456 56105\n75416 100000\n38678 57932\n80337 100000\n98909 100000\n33210 49674\n5883 8764\n246 364\n75692 100000\n1680 2504\n9579 14293\n84555 100000\n69322 100000\n96118 100000\n490 730\n72072 100000\n68465 100000\n98554 100000\n7943 11827\n11538 17238\n20387 30481\n20343 30412\n82572 100000\n8370 12462\n92735 100000\n87783 100000\n74374 100000\n60255 90349\n10539 15727\n62982 94457\n77761 100000\n68277 100000\n96800 100000\n13932 20821\n93608 100000\n17220 25726\n28654 42842\n38466 57624\n6486 9667\n32508 48633\n38120 57092\n8824 13155\n87563 100000\n783 1173\n29054 43441\n54907 82296\n91862 100000\n75530 100000\n78050 100000\n55123 82612\n96007 100000\n99280 100000\n91017 100000\n76483 100000\n77211 100000\n89913 100000\n29087 43488\n67628 100000\n71120 100000\n47694 71480\n74264 100000\n43195 64716\n11726 17533\n97676 100000\n98545 100000\n83389 100000\n35512 53148\n9262 13808\n71291 100000\n14671 21918\n63216 94813\n38099 57065\n16121 24101\n47467 71145\n70140 100000\n96577 100000\n33813 50579\n88253 100000\n28391 42465\n59729 89542\n66358 99535\n60869 91281\n63360 95025\n60788 91163\n5842 8700\n74816 100000\n84082 100000\n54527 81740\n74645 100000\n86110 100000\n80239 100000\n58736 88043\n81225 100000\n30767 46028\n20993 31388\n11404 17022\n2368 3544\n97475 100000\n2168 3246\n24042 35980\n20671 30913\n94521 100000\n67517 100000\n28404 42486\n30184 45148\n43659 65428\n78352 100000\n23143 34639\n47644 71404\n67831 100000\n51882 77767\n86917 100000\n60674 90992\n49238 73802\n92136 100000\n59746 89566\n58161 87180\n41869 62739\n90188 100000\n69460 100000\n20881 31224\n38953 58338\n11276 16833\n3930 5836\n66755 100000\n65983 98971\n78730 100000\n97943 100000\n78706 100000\n48919 73313\n41240 61807\n35259 52752\n21706 32470\n22421 33557\n51910 77812\n66641 99959\n99736 100000\n48927 73327\n93226 100000\n83469 100000\n38757 58055\n77734 100000\n7530 11229\n35019 52395\n69512 100000\n60490 90709\n17296 25842\n89005 100000\n84777 100000\n51122 76632\n18480 27623\n48100 72098\n19793 29599\n36286 54337\n81264 100000\n84845 100000\n46809 70148\n27115 40581\n96717 100000\n37868 56712\n41996 62936\n97983 100000\n1775 2650\n32159 48122\n46501 69683\n89580 100000\n76639 100000\n68528 100000\n647 970\n90385 100000\n32580 48731\n46104 69073\n84834 100000\n68271 100000\n37402 56020\n59279 88858\n48381 72509\n92768 100000\n90884 100000\n74820 100000\n16486 24640\n82358 100000\n1662 2475\n71458 100000\n99579 100000\n95228 100000\n72660 100000\n85934 100000\n22000 32916\n94679 100000\n23728 35510\n88976 100000\n87540 100000\n47988 71928\n29138 43561\n50082 75081\n36463 54600\n61085 91608\n20175 30148\n24540 36745\n97533 100000\n51991 77933\n22349 33450\n31799 47584\n1829 2733\n46962 70386\n32031 47932\n16840 25158\n16654 24885\n27254 40782\n7194 10727\n94172 100000\n60743 91096\n19393 29002\n46272 69324\n37760 56557\n60802 91183\n3056 4556\n16006 23933\n79862 100000\n45539 68221\n87422 100000\n11847 17720\n84029 100000\n78232 100000\n48007 71955\n11956 17885\n76147 100000\n93959 100000\n54134 81152\n81910 100000\n4160 6187\n28881 43185\n53972 80907\n32021 47916\n67513 100000\n65881 98812\n48891 73273\n69406 100000\n79521 100000\n39212 58737\n96935 100000\n36721 54995\n51662 77441\n69703 100000\n38382 57491\n60256 90351\n16134 24120\n21921 32800\n1171 1747\n84697 100000\n46022 68955\n98277 100000\n79190 100000\n81392 100000\n25386 37995\n83756 100000\n7093 10574\n55961 83874\n84933 100000\n53806 80665\n16703 24957\n99705 100000\n60410 90585\n3358 4991\n19573 29275\n99131 100000\n95510 100000\n65773 98655\n62375 93554\n49428 74096\n64527 96761\n99649 100000\n21500 32156\n49461 74145\n66390 99584\n54189 81235\n38428 57564\n76255 100000\n24338 36429\n20892 31242\n89970 100000\n58356 87473\n3516 5223\n47545 71264\n11618 17365\n20808 31118\n20011 29911\n42339 63440\n88513 100000\n61476 92206\n9934 14829\n85249 100000\n48918 73311\n5706 8491\n48776 73095\n95015 100000\n67257 100000\n41182 61730\n31782 47558\n81895 100000\n947 1418\n49458 74141\n33105 49524\n17273 25807\n97319 100000\n66794 100000\n94677 100000\n78358 100000\n20860 31194\n29097 43503\n54028 80989\n20069 29996\n76302 100000\n52948 79391\n2111 3165\n95914 100000\n97236 100000\n78597 100000\n73428 100000\n21392 31994\n14901 22270\n3724 5540\n68710 100000\n60915 91350\n27987 41854\n40790 61134\n11544 17247\n75859 100000\n42039 63000\n5289 7876\n22396 33522\n72294 100000\n51792 77634\n17860 26710\n88210 100000\n66368 99549\n33394 49950\n3544 5267\n36054 53972\n22971 34396\n56876 85256\n53419 80076\n38330 57409\n1293 1938\n89768 100000\n79913 100000\n43486 65174\n98529 100000\n18727 28001\n42963 64382\n62541 93796\n20364 30445\n51870 77750\n68675 100000\n47299 70896\n44480 66630\n98033 100000\n39010 58424\n27015 40425\n15063 22504\n91631 100000\n50495 75689\n72722 100000\n37494 56162\n50447 75617\n35143 52577\n94463 100000\n98030 100000\n50444 75612\n48774 73093\n74871 100000\n37238 55770\n78468 100000\n23823 35656\n75277 100000\n84922 100000\n48872 73242\n16060 24013\n58366 87489\n29489 44089\n12300 18405\n17419 26035\n48770 73087\n44689 66943\n21849 32693\n37771 56574\n2439 3649\n13316 19912\n31113 46545\n11783 17621\n10573 15779\n94936 100000\n89335 100000\n87803 100000\n13569 20291\n38334 57416\n11417 17042\n58256 87323\n17381 25975\n17993 26897\n59214 88754\n4195 6239\n44659 66894\n67655 100000\n79586 100000\n18212 27220\n10534 15721\n57953 86870\n95614 100000\n20412 30521\n73216 100000\n98747 100000\n2670 3993\n33665 50357\n50133 75150\n80496 100000\n45529 68206\n63700 95519\n56786 85118\n69206 100000\n25959 38856\n39380 58998\n40843 61219\n60784 91155\n31398 46980\n92778 100000\n49494 74194\n89218 100000\n21911 32786\n25972 38875\n17579 26272\n63252 94867\n76249 100000\n34699 51914\n72692 100000\n23311 34901\n1989 2982\n56133 84127\n50388 75537\n56407 84543\n47409 71057\n64136 96178\n15879 23742\n65517 98273\n72159 100000\n73845 100000\n66437 99652\n45953 68842\n79332 100000\n53875 80765\n30374 45428\n52384 78518\n40086 60048\n63274 94901\n52576 78810\n98210 100000\n52563 78792\n79386 100000\n47945 71868\n66157 99232\n22786 34107\n57443 86092\n53528 80238\n10936 16317\n45886 68747\n56640 84895\n95678 100000\n10205 15226\n19891 29740\n48491 72675\n13162 19688\n20015 29915\n24215 36247\n98630 100000\n52694 78994\n75649 100000\n73374 100000\n20165 30136\n65676 98509\n57487 86161\n82060 100000\n13295 19876\n49902 74811\n8263 12298\n91635 100000\n57358 85963\n92272 100000\n29310 43819\n88003 100000\n94593 100000\n92695 100000\n227 338\n71053 100000\n90343 100000\n44289 66358\n44664 66903\n38490 57659\n4723 7020\n45218 67743\n66678 100000\n32834 49108\n93569 100000\n70141 100000\n64749 97091\n50102 75108\n64004 95987\n62280 93418\n68142 100000\n87020 100000\n88861 100000\n1438 2153\n17542 26219\n66818 100000\n80833 100000\n58835 88198\n40242 60286\n87872 100000\n70304 100000\n43994 65927\n54169 81204\n14931 22313\n9247 13788\n82803 100000\n43573 65305\n97742 100000\n9939 14837\n4416 6569\n8714 12983\n60479 90693\n23852 35697\n43686 65471\n36563 54754\n19394 29003\n94979 100000\n98369 100000\n7882 11743\n3857 5726\n96201 100000\n57229 85767\n67528 100000\n34174 51122\n4260 6336\n30140 45082\n94920 100000\n98098 100000\n9637 14376\n37986 56890\n26392 39512\n96074 100000\n61541 92304\n8055 11985\n50572 75800\n15519 23194\n66215 99322\n50583 75816\n83103 100000\n20734 31008\n85355 100000\n6876 10250\n2686 4011\n98830 100000\n76342 100000\n31877 47701\n60418 90600\n85618 100000\n40624 60871\n99366 100000\n64115 96147\n1319 1974\n41323 61922\n14113 21088\n21237 31763\n70400 100000\n57727 86531\n99754 100000\n47745 71558\n42670 63934\n3017 4500\n24361 36470\n51408 77065\n73746 100000\n6044 9007\n56365 84481\n33842 50620\n91211 100000\n55756 83553\n48420 72566\n48477 72655\n75527 100000\n36241 54268\n38708 57980\n74171 100000\n45392 68004\n607 906\n95116 100000\n7127 10626\n24499 36679\n70120 100000\n51489 77180\n98853 100000\n98396 100000\n4922 7322\n89037 100000\n17425 26046\n43906 65805\n55423 83067\n64620 96900\n23572 35281\n43312 64905\n83418 100000\n49043 73503\n13796 20624\n39437 59087\n93159 100000\n33796 50553\n78230 100000\n61409 92110\n27430 41037\n6513 9707\n23541 35235\n38142 57125\n20326 30387\n66334 99498\n4524 6728\n89209 100000\n75159 100000\n16725 24990\n32317 48360\n94708 100000\n65730 98590\n5040 7507\n6389 9523\n49480 74173\n4354 6474\n23607 35334\n2581 3864\n65480 98222\n72696 100000\n59357 88974\n1282 1922\n50107 75115\n29548 44181\n85345 100000\n26099 39063\n3828 5687\n48871 73240\n35279 52780\n24683 36951\n19465 29108\n92929 100000\n13609 20346\n53129 79652\n82783 100000\n20426 30541\n52993 79462\n42872 64237\n54478 81662\n71806 100000\n41464 62141\n60453 90650\n14089 21052\n99898 100000\n48126 72138\n94877 100000\n77172 100000\n21625 32347\n88790 100000\n34534 51671\n50886 76278\n31255 46759\n89887 100000\n663 991\n27243 40767\n554 831\n62697 94028\n90562 100000\n38203 57214\n6891 10273\n35656 53358\n89635 100000\n66485 99724\n66484 99723\n30729 45972\n15684 23445\n99300 100000\n23023 34469\n79277 100000\n82821 100000\n88284 100000\n51048 76525\n71915 100000\n32631 48806\n80647 100000\n50212 75265\n97542 100000\n69329 100000\n10399 15526\n26565 39769\n72898 100000\n99982 100000\n90844 100000\n88744 100000\n31311 46843\n87673 100000\n31364 46929\n83456 100000\n33709 50422\n62444 93653\n58295 87384\n40402 60527\n28716 42938\n58392 87530\n51985 77926\n78613 100000\n14248 21286\n91823 100000\n22107 33077\n57008 85446\n2901 4330\n7357 10971\n13229 19782\n40858 61240\n99343 100000\n79919 100000\n32784 49032\n34897 52206\n98884 100000\n27420 41025\n20563 30745\n51110 76612\n95968 100000\n29190 43641\n78123 100000\n27624 41321\n6628 9870\n90461 100000\n87830 100000\n59201 88734\n99877 100000\n40236 60277\n34861 52148\n94634 100000\n12487 18670\n17240 25755\n50897 76296\n7431 11083\n75327 100000\n88949 100000\n86998 100000\n60778 91147\n21378 31973\n62054 93084\n40510 60691\n74509 100000\n21394 31997\n53047 79536\n36766 55064\n68070 100000\n66804 100000\n23324 34916\n35555 53214\n51010 76468\n10178 15183\n88102 100000\n87368 100000\n3964 5887\n28808 43078\n1201 1796\n18818 28133\n18052 26984\n64029 96022\n74302 100000\n86711 100000\n60400 90570\n99145 100000\n84702 100000\n37542 56234\n17319 25878\n38643 57882\n74401 100000\n54567 81795\n81389 100000\n47441 71106\n56548 84763\n38552 57748\n89631 100000\n5151 7668\n91710 100000\n51494 77187\n75980 100000\n92166 100000\n92913 100000\n99797 100000\n76025 100000\n83030 100000\n74170 100000\n43331 64932\n49308 73904\n11735 17545\n35037 52422\n62240 93362\n22834 34183\n99294 100000\n95430 100000\n23186 34704\n4215 6269\n90903 100000\n84375 100000\n28095 42021\n29291 43789\n51527 77238\n83227 100000\n56051 84001\n80075 100000\n79953 100000\n68551 100000\n81066 100000\n89375 100000\n92059 100000\n10623 15850\n28617 42787\n42351 63457\n29202 43656\n73296 100000\n69791 100000\n86473 100000\n10926 16303\n58761 88081\n1079 1618\n16150 24147\n84961 100000\n22996 34431\n39227 58759\n21203 31712\n18674 27918\n83495 100000\n60952 91408\n84689 100000\n74147 100000\n12591 18827\n75964 100000\n76568 100000\n21771 32564\n27203 40708\n81369 100000\n14872 22227\n29874 44681\n58921 88316\n47701 71490\n67636 100000\n8314 12375\n20191 30171\n94944 100000\n66352 99526\n48384 72513\n98479 100000\n29414 43978\n37512 56189\n5496 8191\n69997 100000\n74464 100000\n91691 100000\n77430 100000\n56248 84302\n71756 100000\n64565 96819\n20045 29959\n68724 100000\n76176 100000\n57611 86348\n21247 31780\n36737 55020\n94339 100000\n78557 100000\n87776 100000\n19085 28536\n24612 36849\n40909 61314\n62739 94090\n8064 11998\n48377 72503\n7389 11020\n23163 34667\n82791 100000\n67549 100000\n70470 100000\n52376 78504\n21114 31573\n60651 90956\n33932 50761\n16070 24027\n7896 11761\n66353 99528\n36971 55367\n20135 30092\n36152 54128\n33621 50289\n1286 1929\n21020 31432\n93678 100000\n85077 100000\n29183 43631\n84225 100000\n62570 93838\n96091 100000\n51619 77375\n83398 100000\n92371 100000\n17266 25796\n89249 100000\n11526 17222\n9833 14678\n9099 13568\n95832 100000\n17483 26133\n47495 71186\n10480 15646\n7768 11578\n96270 100000\n50806 76159\n29524 44145\n40159 60158\n92993 100000\n40467 60622\n87419 100000\n75453 100000\n12962 19384\n36901 55262\n88097 100000\n85995 100000\n35285 52790\n49237 73800\n56155 84165\n83338 100000\n11082 16536\n92793 100000\n58553 87767\n22592 33814\n97975 100000\n1080 1619\n21242 31772\n49529 74247\n36581 54782\n75850 100000\n93798 100000\n96772 100000\n52092 78082\n90609 100000\n5007 7450\n56001 83931\n92329 100000\n88616 100000\n41968 62894\n77206 100000\n55214 82752\n3408 5063\n35914 53761\n63524 95263\n15054 22491\n28456 42562\n91398 100000\n84662 100000\n12093 18096\n54080 81068\n97516 100000\n79308 100000\n56309 84396\n35261 52754\n28068 41977\n50368 75505\n98462 100000\n51393 77045\n6843 10194\n24665 36925\n73104 100000\n25263 37815\n69038 100000\n48421 72568\n20795 31099\n58269 87342\n32553 48692\n44908 67263\n70577 100000\n80669 100000\n54146 81169\n32287 48318\n37955 56840\n6072 9050\n90778 100000\n2166 3243\n78383 100000\n13017 19463\n75357 100000\n3867 5743\n10500 15673\n13033 19489\n10579 15790\n80297 100000\n2149 3217\n93574 100000\n32660 48847\n15680 23441\n47594 71336\n3594 5340\n46820 70166\n77101 100000\n33533 50158\n34978 52331\n85766 100000\n72676 100000\n11282 16843\n93878 100000\n66055 99078\n43514 65215\n14533 21708\n61018 91504\n65741 98609\n49467 74155\n28025 41910\n54554 81780\n25805 38625\n79281 100000\n7447 11105\n65914 98859\n69800 100000\n34363 51417\n52352 78467\n77678 100000\n51216 76776\n12650 18915\n57930 86835\n44377 66484\n64800 97171\n61183 91752\n73269 100000\n88721 100000\n21673 32421\n61303 91945\n7071 10538\n81235 100000\n48536 72739\n15086 22538\n86357 100000\n95454 100000\n70456 100000\n62474 93694\n83987 100000\n85913 100000\n61727 92592\n2647 3961\n38441 57584\n42008 62951\n23996 35914\n76166 100000\n63504 95233\n1093 1636\n91530 100000\n49735 74555\n88812 100000\n91563 100000\n97617 100000\n81266 100000\n89206 100000\n16752 25029\n42297 63381\n57625 86371\n53837 80711\n45343 67932\n47301 70899\n76828 100000\n35745 53499\n10967 16366\n35810 53601\n63862 95774\n33489 50094\n21675 32425\n69187 100000\n67795 100000\n29730 44464\n8666 12911\n92067 100000\n51434 77101\n72817 100000\n6454 9620\n81901 100000\n66900 100000\n48063 72041\n14947 22338\n28214 42200\n95837 100000\n72138 100000\n15113 22578\n20647 30878\n9603 14326\n78390 100000\n30403 45470\n79620 100000\n71803 100000\n10339 15429\n40111 60088\n52681 78975\n27419 41023\n32345 48400\n6740 10034\n27538 41193\n20861 31195\n68337 100000\n98110 100000\n38600 57819\n35394 52955\n19650 29387\n72745 100000\n56099 84075\n63453 95161\n98768 100000\n11436 17073\n23168 34675\n687 1029\n30209 45184\n21829 32657\n97347 100000\n26942 40320\n87864 100000\n62287 93427\n882 1322\n77659 100000\n70265 100000\n99663 100000\n66634 99947\n55924 83820\n5526 8234\n97546 100000\n44467 66611\n39192 58707\n22268 33321\n78747 100000\n39542 59245\n91993 100000\n73027 100000\n80789 100000\n97631 100000\n7490 11168\n80821 100000\n13765 20580\n9806 14634\n50773 76109\n30645 45842\n47364 70993\n87155 100000\n7964 11855\n61482 92215\n13716 20498\n63941 95896\n57698 86486\n58492 87678\n69648 100000\n29598 44260\n33146 49587\n73039 100000\n64031 96025\n78995 100000\n15689 23452\n42202 63240\n88007 100000\n23984 35895\n84310 100000\n86254 100000\n64830 97219\n98220 100000\n67917 100000\n13140 19653\n30515 45639\n30073 44980\n70468 100000\n84190 100000\n69327 100000\n8605 12823\n88217 100000\n53699 80502\n95404 100000\n53013 79492\n35963 53831\n79273 100000\n95970 100000\n48081 72069\n70550 100000\n42577 63795\n26561 39763\n69360 100000\n76221 100000\n71099 100000\n30357 45402\n20124 30077\n98087 100000\n49867 74753\n54322 81426\n88176 100000\n80641 100000\n51844 77714\n59252 88813\n36355 54438\n40449 60597\n77478 100000\n62821 94216\n66669 100000\n60185 90239\n68081 100000\n58396 87536\n75521 100000\n10458 15617\n8183 12179\n54053 81026\n99236 100000\n65349 98019\n29840 44630\n28938 43262\n12547 18760\n36701 54965\n81998 100000\n44528 66704\n1084 1625\n9096 13563\n36219 54237\n9336 13920\n63512 95244\n77415 100000\n75050 100000\n33570 50214\n87786 100000\n45176 67674\n44591 66796\n49335 73951\n42290 63371\n55757 83555\n14950 22343\n29666 44368\n8361 12446\n40538 60737\n8687 12944\n53730 80551\n47124 70631\n22555 33758\n78703 100000\n60477 90689\n54971 82396\n9127 13610\n92545 100000\n88038 100000\n83421 100000\n38740 58031\n40077 60035\n24638 36889\n66047 99067\n97459 100000\n17047 25472\n5205 7756\n43505 65203\n24362 36471\n46689 69967\n67722 100000\n2252 3368\n57663 86429\n42907 64294\n75145 100000\n46481 69652\n13205 19750\n4953 7367\n56878 85258\n79715 100000\n1731 2580\n62293 93436\n15768 23573\n37092 55551\n83615 100000\n13857 20710\n85264 100000\n6457 9624\n37453 56099\n9761 14564\n57965 86885\n84600 100000\n92171 100000\n72158 100000\n20690 30940\n51325 76939\n82554 100000\n53309 79921\n14824 22148\n60389 90556\n64176 96238\n95706 100000\n45829 68658\n16189 24202\n28035 41929\n37111 55579\n59837 89709\n28813 43084\n63718 95545\n11819 17674\n15787 23601\n63899 95831\n7067 10533\n99638 100000\n24816 37151\n74680 100000\n36818 55143\n94913 100000\n13018 19465\n30887 46220\n12060 18050\n68990 100000\n16285 24344\n94532 100000\n42063 63034\n28058 41961\n48789 73118\n70958 100000\n59448 89107\n47590 71329\n41297 61885\n34498 51620\n55520 83213\n30995 46375\n54618 81863\n95450 100000\n76327 100000\n58182 87211\n94173 100000\n2094 3141\n41281 61864\n43160 64670\n67993 100000\n71655 100000\n13807 20641\n79956 100000\n69795 100000\n53022 79506\n43236 64781\n91382 100000\n3120 4647\n49120 73625\n4786 7115\n33463 50052\n42414 63558\n96838 100000\n92430 100000\n35006 52375\n885 1326\n77792 100000\n44566 66760\n6995 10431\n15084 22536\n28573 42720\n22913 34306\n12324 18435\n37525 56208\n4294 6388\n6460 9627\n76692 100000\n24445 36598\n52790 79147\n28419 42509\n10001 14929\n13881 20749\n59831 89701\n87629 100000\n12689 18976\n39203 58724\n29781 44544\n29466 44053\n34295 51312\n86492 100000\n67954 100000\n84975 100000\n61835 92747\n40574 60799\n92908 100000\n25341 37930\n26649 39895\n79825 100000\n60107 90121\n67260 100000\n18059 26996\n74631 100000\n11410 17030\n16456 24593\n44992 67395\n34953 52291\n67124 100000\n38374 57480\n44094 66078\n83355 100000\n35873 53696\n87177 100000\n75285 100000\n67067 100000\n17676 26424\n57993 86924\n83821 100000\n76983 100000\n60441 90632\n54923 82320\n74202 100000\n45587 68291\n57566 86274\n95996 100000\n53605 80360\n21174 31665\n59747 89567\n62767 94134\n99390 100000\n11516 17207\n48194 72235\n99771 100000\n49401 74054\n12766 19092\n43893 65785\n81516 100000\n6384 9516\n93151 100000\n31673 47389\n9188 13699\n63724 95554\n50363 75498\n30276 45284\n39355 58956\n82542 100000\n70880 100000\n97351 100000\n85236 100000\n27391 40980\n69682 100000\n27944 41790\n54213 81269\n54120 81130\n77790 100000\n8755 13043\n50129 75143\n15887 23754\n53882 80777\n9034 13475\n44654 66885\n97339 100000\n70514 100000\n38616 57842\n43951 65869\n90561 100000\n18249 27278\n8433 12553\n19267 28814\n51672 77457\n31916 47758\n84444 100000\n11362 16961\n97569 100000\n8730 13009\n66594 99888\n34896 52205\n43824 65678\n62915 94359\n41710 62497\n50053 75038\n50201 75250\n65625 98435\n19921 29785\n82925 100000\n85893 100000\n55736 83522\n60449 90645\n94009 100000\n75793 100000\n63598 95369\n26151 39149\n86464 100000\n83630 100000\n27591 41272\n89569 100000\n40272 60330\n19202 28710\n39449 59105\n13168 19696\n66605 99906\n47030 70486\n93103 100000\n3277 4883\n97197 100000\n93164 100000\n17099 25552\n31346 46901\n43966 65889\n59479 89156\n52200 78247\n3183 4743\n59472 89146\n65966 98943\n29011 43374\n26102 39068\n57355 85959\n96424 100000\n61749 92626\n4384 6522\n25774 38577\n36778 55081\n50297 75396\n21210 31721\n79846 100000\n38085 57044\n91610 100000\n5543 8259\n4404 6548\n71960 100000\n41503 62197\n83696 100000\n27585 41262\n81591 100000\n92572 100000\n58522 87727\n95266 100000\n59385 89010\n15967 23880\n66687 100000\n16715 24976\n83021 100000\n31397 46978\n97519 100000\n54719 82017\n12635 18895\n18011 26923\n84572 100000\n2181 3267\n82980 100000\n39848 59694\n60844 91245\n23892 35758\n13595 20328\n81223 100000\n51065 76549\n48043 72012\n91407 100000\n16217 24245\n913 1365\n42503 63687\n84364 100000\n78587 100000\n46704 69989\n24625 36870\n60041 90020\n51311 76917\n18206 27211\n69963 100000\n11911 17815\n82866 100000\n42836 64182\n10892 16255\n3767 5600\n61439 92152\n84051 100000\n21576 32274\n61594 92383\n57855 86715\n22929 34332\n91454 100000\n49669 74458\n56882 85265\n88776 100000\n10467 15629\n92438 100000\n71682 100000\n5450 8122\n51674 77460\n3642 5415\n53424 80083\n6293 9384\n897 1342\n78902 100000\n49959 74897\n336 494\n27977 41839\n54197 81247\n41587 62317\n49463 74148\n75107 100000\n43050 64516\n92764 100000\n15721 23500\n54736 82045\n40434 60576\n61287 91919\n91659 100000\n48286 72370\n52806 79171\n42531 63731\n95640 100000\n46003 68922\n3504 5206\n79944 100000\n33799 50558\n14058 21007\n7497 11179\n29191 43643\n74041 100000\n25387 37997\n51097 76593\n97023 100000\n45755 68550\n73433 100000\n50667 75942\n65085 97599\n22031 32963\n80611 100000\n75473 100000\n82510 100000\n26124 39104\n40606 60845\n57821 86665\n83235 100000\n31345 46899\n44796 67094\n68535 100000\n96188 100000\n5808 8648\n88006 100000\n85351 100000\n64705 97027\n21571 32267\n72466 100000\n57458 86117\n95070 100000\n34082 50984\n16476 24626\n48075 72061\n92360 100000\n76455 100000\n41929 62830\n91436 100000\n31452 47063\n78180 100000\n32029 47928\n58915 88306\n83670 100000\n23292 34870\n11435 17071\n52485 78676\n47814 71665\n74734 100000\n31928 47777\n8680 12933\n16721 24984\n1559 2325\n3250 4843\n41567 62289\n51178 76719\n14642 21875\n93891 100000\n94823 100000\n93595 100000\n89276 100000\n80260 100000\n53390 80037\n36267 54305\n20118 30069\n20937 31307\n9840 14690\n64482 96693\n76021 100000\n46380 69493\n94125 100000\n14655 21896\n9792 14611\n63683 95492\n7887 11748\n91416 100000\n11185 16691\n1607 2392\n95886 100000\n61468 92194\n46553 69755\n59725 89537\n61846 92766\n82218 100000\n21592 32297\n90714 100000\n761 1140\n86216 100000\n70229 100000\n26714 39990\n79120 100000\n6596 9825\n6946 10354\n17043 25466\n87725 100000\n17601 26305\n50669 75945\n72997 100000\n4478 6660\n25200 37719\n57180 85695\n68085 100000\n60374 90530\n99819 100000\n77348 100000\n47875 71760\n49406 74061\n38312 57379\n16049 23997\n99765 100000\n58410 87558\n88638 100000\n24690 36961\n87265 100000\n85212 100000\n84017 100000\n51763 77593\n58020 86966\n24402 36534\n76955 100000\n82370 100000\n35409 52977\n58283 87364\n28507 42629\n90083 100000\n3476 5163\n39827 59663\n34539 51678\n7959 11850\n67902 100000\n65144 97695\n68956 100000\n11438 17076\n43909 65810\n65148 97701\n26965 40354\n10397 15523\n36214 54228\n54729 82035\n45140 67622\n89204 100000\n76743 100000\n37970 56863\n96150 100000\n61179 91746\n81231 100000\n79196 100000\n97504 100000\n13054 19521\n15004 22419\n94966 100000\n30287 45301\n72946 100000\n39996 59914\n36784 55091\n56147 84153\n60497 90718\n36765 55063\n85534 100000\n4358 6481\n34633 51814\n90528 100000\n8271 12309\n62117 93175\n49794 74647\n38969 58362\n40214 60242\n92131 100000\n70559 100000\n3159 4706\n82394 100000\n30049 44944\n77904 100000\n2167 3245\n82274 100000\n95433 100000\n9232 13762\n55339 82938\n58181 87210\n60491 90711\n59522 89222\n54801 82142\n86109 100000\n24073 36026\n58518 87721\n50270 75355\n9401 14020\n72313 100000\n51936 77851\n97006 100000\n94287 100000\n59491 89174\n9435 14072\n33878 50675\n54566 81794\n42448 63610\n85626 100000\n1947 2914\n83641 100000\n6349 9466\n67787 100000\n85847 100000\n69488 100000\n71742 100000\n78527 100000\n12633 18891\n90729 100000\n79432 100000\n12089 18091\n68265 100000\n17365 25953\n48853 73211\n30332 45363\n27066 40500\n2876 4294\n61212 91796\n54986 82419\n47796 71636\n65928 98882\n65347 98015\n68649 100000\n58327 87433\n33978 50827\n51460 77136\n49566 74306\n19196 28702\n7709 11499\n97875 100000\n10237 15275\n40533 60729\n33452 50036\n99596 100000\n6023 8973\n30745 45998\n8962 13367\n21633 32359\n5325 7927\n8127 12093\n78088 100000\n84598 100000\n70845 100000\n10076 15041\n42749 64054\n65064 97565\n57084 85558\n66960 100000\n65681 98516\n27121 40591\n92074 100000\n2385 3572\n62397 93584\n39882 59744\n61260 91876\n41970 62897\n87511 100000\n27280 40816\n72044 100000\n96723 100000\n5 8\n18501 27654\n20321 30380\n94439 100000\n53899 80801\n57802 86637\n9626 14359\n42252 63317\n11153 16641\n6564 9781\n9874 14737\n58756 88073\n13812 20648\n28284 42305\n62997 94479\n45572 68269\n74511 100000\n86341 100000\n45350 67943\n34089 50993\n87778 100000\n47511 71210\n18428 27545\n10169 15171\n92395 100000\n72596 100000\n4164 6194\n32126 48072\n48449 72609\n34436 51527\n12317 18425\n72479 100000\n52812 79182\n67507 100000\n94840 100000\n86829 100000\n4678 6956\n66961 100000\n55472 83141\n79772 100000\n93168 100000\n33500 50111\n92798 100000\n34132 51062\n3244 4833\n75157 100000\n32880 49179\n90704 100000\n80380 100000\n88320 100000\n20436 30555\n12782 19116\n41744 62550\n98680 100000\n794 1189\n24091 36052\n27673 41395\n6415 9562\n64439 96634\n72175 100000\n8844 13186\n91478 100000\n76870 100000\n8937 13329\n80767 100000\n12004 17960\n89345 100000\n31831 47635\n68739 100000\n40018 59948\n30054 44952\n61039 91535\n74613 100000\n70785 100000\n52934 79369\n39119 58592\n38006 56921\n35112 52530\n69268 100000\n1686 2513\n2769 4127\n68252 100000\n44505 66670\n70792 100000\n97518 100000\n90771 100000\n51679 77465\n51652 77424\n31115 46548\n39725 59506\n84146 100000\n52690 78988\n38079 57035\n93318 100000\n32642 48820\n53282 79878\n81106 100000\n32814 49079\n31726 47476\n65290 97922\n96485 100000\n98770 100000\n979 1463\n7019 10464\n71528 100000\n50081 75080\n68127 100000\n95340 100000\n99186 100000\n90734 100000\n46938 70344\n52380 78510\n34652 51839\n96440 100000\n16513 24682\n59406 89043\n29833 44622\n71925 100000\n43983 65915\n33670 50365\n27126 40599\n47921 71829\n98923 100000\n64426 96613\n31108 46539\n88209 100000\n41230 61795\n97386 100000\n45105 67567\n69837 100000\n20703 30962\n37846 56679\n92239 100000\n10031 14978\n26863 40202\n85039 100000\n37123 55598\n68769 100000\n52773 79120\n27357 40930\n54083 81071\n59439 89092\n85073 100000\n75856 100000\n36942 55320\n35131 52561\n76714 100000\n38015 56935\n23522 35208\n45828 68656\n56451 84609\n20102 30045\n66515 99767\n2656 3973\n34012 50879\n44650 66878\n87909 100000\n65004 97478\n47738 71547\n51166 76700\n83484 100000\n68886 100000\n65913 98857\n84075 100000\n73918 100000\n15226 22748\n21167 31654\n24307 36380\n42911 64302\n73818 100000\n23657 35409\n29917 44749\n24351 36451\n68333 100000\n24544 36751\n62652 93963\n77154 100000\n32852 49135\n88747 100000\n54315 81417\n4145 6163\n98937 100000\n91919 100000\n46162 69166\n26617 39849\n16628 24848\n48324 72423\n16617 24832\n81843 100000\n38215 57231\n27272 40806\n61936 92905\n19970 29855\n90218 100000\n77559 100000\n51212 76770\n83148 100000\n97514 100000\n77896 100000\n57869 86738\n57124 85616\n47992 71935\n96680 100000\n47142 70659\n84997 100000\n72645 100000\n39446 59100\n41533 62243\n46428 69573\n15022 22446\n85965 100000\n15471 23122\n17532 26205\n3198 4765\n60795 91175\n1614 2400\n97382 100000\n1423 2132\n69090 100000\n73160 100000\n24686 36956\n54943 82352\n66260 99386\n13498 20186\n15575 23281\n61109 91638\n16592 24795\n97769 100000\n11147 16629\n91803 100000\n32254 48266\n34440 51532\n95560 100000\n92761 100000\n48577 72802\n60032 90005\n9530 14216\n5190 7732\n10122 15108\n2421 3624\n85557 100000\n82350 100000\n88800 100000\n82792 100000\n37725 56505\n17133 25598\n4968 7392\n3527 5240\n266 393\n65438 98156\n77451 100000\n27705 41440\n85093 100000\n44027 65976\n90271 100000\n60451 90647\n81676 100000\n88094 100000\n32373 48437\n93030 100000\n43877 65758\n4813 7157\n62208 93311\n62086 93132\n47696 71483\n74282 100000\n23117 34604\n71320 100000\n65436 98153\n59529 89233\n45645 68382\n36507 54663\n22896 34281\n97126 100000\n86469 100000\n86272 100000\n57872 86742\n78959 100000\n74321 100000\n32634 48810\n96067 100000\n20236 30237\n38590 57805\n63125 94677\n59675 89459\n72073 100000\n55571 83284\n5578 8305\n94344 100000\n84422 100000\n16834 25150\n24041 35978\n15599 23316\n97808 100000\n16914 25270\n7660 11422\n67025 100000\n44078 66054\n87764 100000\n22309 33387\n25153 37646\n62879 94302\n14 20\n76024 100000\n94655 100000\n12751 19070\n41526 62233\n73930 100000\n25084 37551\n45690 68450\n60906 91336\n94336 100000\n68758 100000\n79581 100000\n56017 83954\n71543 100000\n63699 95518\n28244 42244\n36053 53971\n1233 1844\n31518 47161\n24135 36119\n56952 85363\n72097 100000\n52172 78203\n11905 17806\n43629 65388\n61266 91887\n93949 100000\n10916 16289\n93491 100000\n686 1027\n12692 18980\n60841 91241\n57117 85607\n99024 100000\n63873 95789\n29457 44043\n17202 25700\n64017 96006\n9823 14662\n16751 25028\n38581 57792\n21566 32261\n33450 50032\n51442 77112\n4174 6210\n45261 67807\n33798 50556\n20228 30224\n80270 100000\n52801 79164\n1700 2534\n26744 40034\n7478 11150\n40986 61430\n25597 38311\n19453 29090\n41408 62055\n5264 7840\n73441 100000\n10521 15703\n99652 100000\n76062 100000\n58141 87151\n84359 100000\n76695 100000\n24609 36846\n33758 50498\n83514 100000\n88095 100000\n57868 86736\n54793 82129\n18089 27039\n94407 100000\n44881 67218\n24404 36537\n25279 37836\n64277 96388\n7873 11730\n91532 100000\n29041 43419\n58010 86954\n58666 87942\n4403 6546\n36084 54024\n51741 77564\n21584 32285\n11582 17306\n1566 2337\n40523 60713\n64796 97165\n78767 100000\n12683 18968\n98815 100000\n27833 41632\n34615 51788\n41545 62262\n86277 100000\n92217 100000\n82331 100000\n23493 35167\n28094 42019\n29049 43434\n47317 70922\n34984 52341\n36375 54472\n4773 7094\n66088 99131\n59257 88822\n99422 100000\n83812 100000\n2208 3303\n6146 9168\n58100 87087\n43446 65114\n20790 31092\n31000 46380\n93347 100000\n79637 100000\n20123 30076\n602 898\n12066 18061\n48978 73404\n7084 10560\n40810 61167\n23497 35172\n95205 100000\n73596 100000\n414 614\n87216 100000\n89945 100000\n77229 100000\n59818 89684\n71412 100000\n31246 46743\n89013 100000\n98572 100000\n66124 99184\n61002 91481\n83277 100000\n94684 100000\n98133 100000\n22021 32947\n71095 100000\n54494 81684\n63169 94744\n79214 100000\n8776 13075\n5724 8519\n75885 100000\n64939 97380\n20980 31370\n3222 4800\n53936 80857\n60939 91388\n1723 2569\n43657 65424\n46001 68920\n15158 22646\n30488 45599\n43252 64807\n64570 96825\n83761 100000\n38515 57695\n85213 100000\n47904 71802\n67671 100000\n60588 90857\n31326 46870\n20450 30575\n10189 15200\n98645 100000\n91986 100000\n59553 89271\n78781 100000\n81122 100000\n89942 100000\n67134 100000\n54003 80954\n33801 50560\n90727 100000\n97721 100000\n95018 100000\n22508 33687\n24151 36144\n94519 100000\n40554 60764\n1647 2450\n28972 43310\n66387 99580\n19314 28883\n33431 50006\n67347 100000\n36042 53952\n80890 100000\n56463 84626\n13360 19976\n74271 100000\n45775 68582\n64581 96839\n93706 100000\n40557 60770\n60289 90402\n24125 36102\n63300 94940\n2105 3155\n25035 37475\n36900 55261\n36052 53970\n97929 100000\n61716 92576\n28768 43016\n93245 100000\n5521 8225\n42294 63376\n95321 100000\n68045 100000\n61890 92838\n95591 100000\n4635 6891\n1039 1556\n52538 78752\n54474 81656\n8528 12708\n25028 37465\n76963 100000\n61856 92782\n47076 70557\n89808 100000\n23487 35156\n79604 100000\n34791 52047\n55863 83724\n48708 72991\n28216 42204\n17281 25818\n63359 95024\n37433 56066\n91434 100000\n31270 46784\n85861 100000\n13386 20013\n52005 77952\n47454 71126\n40643 60900\n38701 57970\n4124 6130\n83392 100000\n2704 4037\n32396 48471\n52061 78037\n4762 7078\n46042 68983\n47957 71884\n80274 100000\n24532 36734\n1213 1815\n9670 14422\n81067 100000\n92381 100000\n43821 65672\n87966 100000\n59394 89025\n83582 100000\n45253 67797\n63237 94845\n46724 70019\n56551 84768\n38266 57309\n38824 58151\n90041 100000\n7051 10511\n66930 100000\n79389 100000\n45814 68637\n64442 96639\n40031 59970\n24376 36492\n93663 100000\n69420 100000\n43794 65632\n57945 86858\n16333 24413\n95479 100000\n81760 100000\n77863 100000\n93642 100000\n68336 100000\n10234 15269\n29729 44462\n69569 100000\n87324 100000\n56234 84284\n6681 9946\n79503 100000\n38419 57550\n60295 90411\n11094 16555\n38985 58388\n87309 100000\n7690 11469\n17716 26483\n910 1361\n7156 10672\n75899 100000\n30117 45048\n76074 100000\n52649 78924\n57870 86740\n4805 7146\n66509 99757\n72346 100000\n91084 100000\n66015 99019\n54118 81126\n73519 100000\n49330 73943\n90464 100000\n60471 90680\n71206 100000\n45327 67907\n35184 52637\n806 1205\n10249 15291\n62803 94190\n60192 90251\n10288 15348\n41495 62185\n19679 29428\n56563 84785\n61238 91840\n11008 16429\n18385 27483\n55003 82442\n71332 100000\n40190 60204\n71343 100000\n16691 24938\n16414 24530\n1198 1791\n26666 39922\n35459 53064\n66547 99819\n9965 14874\n76523 100000\n8555 12751\n94892 100000\n14778 22076\n23777 35579\n60259 90355\n96829 100000\n20858 31191\n47794 71633\n59069 88538\n31295 46821\n79889 100000\n84076 100000\n15996 23920\n1623 2414\n80985 100000\n60326 90461\n11107 16575\n13318 19916\n26447 39593\n21792 32598\n71550 100000\n98494 100000\n15475 23129\n48415 72559\n54980 82409\n91162 100000\n42549 63758\n5059 7537\n91572 100000\n79052 100000\n93268 100000\n50294 75391\n46878 70254\n21945 32835\n62785 94159\n80013 100000\n62867 94286\n61973 92962\n17623 26336\n26709 39982\n56386 84514\n55427 83072\n64119 96152\n72955 100000\n5518 8221\n75677 100000\n20826 31143\n76226 100000\n60458 90658\n77092 100000\n35393 52954\n67820 100000\n80495 100000\n49149 73670\n99520 100000\n70594 100000\n16304 24370\n22287 33352\n69507 100000\n29409 43970\n45209 67728\n50024 74995\n64270 96376\n63038 94545\n67277 100000\n96266 100000\n34217 51186\n63693 95508\n87207 100000\n7380 11005\n61318 91968\n87660 100000\n29106 43515\n34664 51856\n90468 100000\n41440 62104\n60810 91194\n79033 100000\n13070 19546\n60440 90631\n87748 100000\n35626 53318\n55568 83280\n29678 44386\n47765 71589\n2016 3021\n32381 48448\n51329 76945\n42751 64057\n70821 100000\n41868 62738\n8638 12870\n38216 57233\n33571 50216\n98278 100000\n32529 48661\n22648 33896\n32052 47962\n96057 100000\n3648 5423\n68792 100000\n41386 62019\n37722 56501\n29609 44279\n76917 100000\n17232 25743\n69020 100000\n31725 47474\n14907 22277\n22064 33011\n8348 12425\n93520 100000\n74529 100000\n74109 100000\n31869 47689\n49314 73913\n51774 77609\n70387 100000\n17880 26740\n59016 88458\n19672 29416\n26605 39828\n47180 70716\n11555 17265\n98162 100000\n96224 100000\n14331 21411\n67752 100000\n70370 100000\n76681 100000\n73560 100000\n87089 100000\n90043 100000\n95143 100000\n29921 44754\n62327 93484\n61185 91754\n26212 39236\n8295 12345\n18742 28024\n4688 6967\n50820 76180\n18745 28028\n51350 76978\n13720 20505\n43039 64499\n79234 100000\n67714 100000\n19810 29625\n64195 96264\n84366 100000\n26361 39466\n2311 3461\n8595 12810\n60514 90745\n35548 53205\n72055 100000\n66427 99638\n15847 23693\n57665 86432\n48266 72341\n75823 100000\n59023 88470\n50526 75738\n30231 45218\n55606 83334\n14006 20932\n91658 100000\n83475 100000\n90507 100000\n68573 100000\n43496 65190\n24259 36309\n75592 100000\n25592 38305\n92547 100000\n67658 100000\n62498 93734\n14097 21064\n43936 65846\n74437 100000\n60737 91086\n12916 19315\n66783 100000\n6038 8998\n33701 50409\n58896 88281\n92617 100000\n84227 100000\n42578 63796\n81617 100000\n23452 35101\n594 888\n43926 65832\n51993 77936\n45907 68773\n125 181\n80782 100000\n83144 100000\n62789 94166\n19459 29099\n35359 52902\n95636 100000\n16953 25333\n24263 36315\n51726 77539\n88456 100000\n75262 100000\n19279 28831\n12472 18648\n58189 87221\n30636 45831\n71625 100000\n41282 61865\n69509 100000\n82740 100000\n30480 45587\n35341 52872\n46005 68925\n32743 48970\n14102 21071\n77783 100000\n26320 39401\n88815 100000\n91853 100000\n24269 36323\n27746 41501\n94146 100000\n65715 98565\n95344 100000\n37464 56118\n46664 69927\n73080 100000\n33572 50217\n56116 84104\n80285 100000\n87535 100000\n28365 42427\n65679 98514\n40613 60856\n61961 92942\n90632 100000\n78710 100000\n25094 37562\n23827 35662\n69987 100000\n62559 93822\n31622 47316\n12877 19257\n56919 85317\n46898 70285\n3966 5891\n95820 100000\n25213 37742\n45770 68574\n1778 2656\n46786 70111\n61098 91624\n20605 30809\n85082 100000\n63093 94631\n86701 100000\n98499 100000\n96160 100000\n62692 94022\n76279 100000\n98758 100000\n29758 44507\n90247 100000\n56890 85275\n31265 46775\n58275 87350\n83098 100000\n97970 100000\n69940 100000\n89255 100000\n2873 4290\n84332 100000\n12353 18476\n94058 100000\n64717 97044\n8671 12918\n72441 100000\n21016 31427\n98017 100000\n44583 66785\n46742 70046\n49992 74948\n81172 100000\n32610 48774\n8418 12528\n64712 97036\n56421 84565\n25311 37883\n79238 100000\n12732 19041\n17210 25711\n42602 63830\n52098 78091\n44225 66270\n84007 100000\n63375 95046\n14454 21591\n41529 62238\n89519 100000\n68160 100000\n59990 89936\n26968 40359\n39856 59705\n11317 16894\n13925 20810\n94724 100000\n14470 21613\n55709 83481\n33768 50510\n87722 100000\n99165 100000\n66331 99495\n4966 7388\n90460 100000\n71119 100000\n36680 54936\n51580 77319\n4778 7103\n3407 5061\n98315 100000\n90966 100000\n74785 100000\n73168 100000\n38259 57298\n42536 63737\n10328 15413\n45408 68026\n7349 10959\n16315 24388\n53165 79701\n39262 58811\n47751 71568\n72080 100000\n84203 100000\n74195 100000\n60507 90733\n64852 97251\n46249 69291\n83530 100000\n6331 9440\n46731 70030\n88856 100000\n45769 68572\n87663 100000\n40897 61299\n90289 100000\n8927 13314\n63746 95592\n65486 98229\n91364 100000\n85280 100000\n52390 78526\n5738 8540\n30061 44962\n34339 51376\n61190 91761\n19277 28828\n27612 41304\n97020 100000\n28980 43323\n58668 87945\n50317 75425\n3079 4589\n70421 100000\n22747 34044\n33620 50287\n71741 100000\n15805 23627\n56639 84894\n70622 100000\n85390 100000\n58348 87460\n90738 100000\n63215 94812\n11167 16665\n2197 3288\n59356 88972\n25486 38146\n77507 100000\n83057 100000\n9086 13549\n1116 1670\n81025 100000\n9615 14341\n38224 57246\n757 1133\n62934 94388\n92767 100000\n49662 74448\n42475 63646\n87296 100000\n44159 66179\n24213 36244\n59996 89947\n84859 100000\n88431 100000\n45598 68310\n81722 100000\n8511 12680\n92978 100000\n36446 54574\n866 1297\n19052 28487\n94189 100000\n79370 100000\n80547 100000\n38682 57940\n18299 27353\n66771 100000\n74130 100000\n50039 75018\n54258 81337\n40295 60364\n46587 69807\n52391 78527\n4084 6061\n13598 20331\n26541 39729\n38023 56947\n83255 100000\n2612 3909\n56232 84280\n11599 17336\n74602 100000\n71928 100000\n69262 100000\n8591 12804\n89904 100000\n86955 100000\n92213 100000\n61847 92768\n12393 18535\n41165 61701\n47948 71871\n18058 26994\n91293 100000\n77253 100000\n75246 100000\n31130 46569\n37500 56170\n20272 30295\n39440 59090\n47923 71832\n85398 100000\n25287 37846\n45263 67810\n70820 100000\n54746 82060\n3952 5870\n66789 100000\n58478 87656\n32413 48495\n73823 100000\n75238 100000\n84172 100000\n41701 62483\n79449 100000\n63147 94709\n12034 18007\n84642 100000\n69969 100000\n72392 100000\n36056 53975\n87754 100000\n87603 100000\n77881 100000\n13567 20288\n8693 12951\n60785 91157\n92704 100000\n3744 5569\n94204 100000\n68016 100000\n59015 88457\n56945 85353\n14687 21941\n36224 54243\n37194 55703\n57911 86806\n79969 100000\n997 1493\n57787 86614\n44577 66776\n89930 100000\n92643 100000\n64887 97301\n11150 16635\n37038 55469\n60414 90593\n96000 100000\n72283 100000\n65802 98697\n1377 2059\n22304 33379\n12993 19427\n41806 62640\n89385 100000\n42705 63986\n37206 55721\n57143 85642\n49936 74862\n54457 81630\n37770 56573\n32066 47980\n25873 38726\n76158 100000\n28596 42753\n39302 58870\n66027 99036\n67326 100000\n47896 71792\n29722 44453\n73707 100000\n24409 36545\n80490 100000\n30204 45177\n21762 32549\n89193 100000\n50338 75460\n8995 13415\n54247 81319\n72940 100000\n57168 85677\n47695 71482\n83268 100000\n62152 93229\n51925 77835\n37728 56509\n16789 25084\n47637 71394\n87611 100000\n9141 13630\n9740 14534\n49229 73789\n9674 14429\n14577 21776\n2365 3539\n32562 48706\n90907 100000\n12264 18351\n8738 13020\n83843 100000\n39550 59254\n91645 100000\n61960 92940\n26442 39586\n36999 55407\n91484 100000\n62861 94277\n63161 94729\n69554 100000\n89403 100000\n62629 93929\n20588 30785\n39417 59055\n85908 100000\n77247 100000\n37421 56049\n94531 100000\n19438 29066\n4479 6662\n59882 89770\n46120 69099\n39899 59767\n5054 7530\n44833 67144\n73161 100000\n47168 70697\n39142 58630\n81493 100000\n52044 78009\n40169 60171\n46943 70352\n72038 100000\n2753 4105\n75264 100000\n78983 100000\n63131 94685\n50512 75714\n30588 45752\n40824 61190\n13655 20408\n65943 98907\n35826 53624\n63323 94973\n35028 52407\n51053 76532\n33974 50821\n68968 100000\n4694 6974\n80157 100000\n18244 27270\n79518 100000\n74912 100000\n81336 100000\n61489 92224\n37072 55518\n87895 100000\n70716 100000\n99109 100000\n20254 30264\n53306 79917\n60966 91428\n43346 64954\n25292 37854\n6933 10335\n28532 42665\n2103 3153\n63747 95594\n28802 43070\n64713 97037\n61047 91546\n43524 65230\n22179 33185\n57369 85979\n65218 97806\n78338 100000\n66916 100000\n76883 100000\n22003 32921\n23979 35886\n57757 86570\n2849 4249\n21190 31689\n77737 100000\n13533 20234\n38443 57588\n58954 88369\n93519 100000\n88579 100000\n19615 29337\n40692 60978\n39197 58713\n2728 4069\n60361 90512\n60648 90952\n28968 43305\n57931 86837\n76678 100000\n601 897\n97142 100000\n37365 55964\n85283 100000\n2688 4013\n25089 37556\n13874 20738\n5170 7700\n18210 27217\n58388 87523\n95322 100000\n70279 100000\n45917 68789\n56222 84265\n77420 100000\n53036 79525\n13703 20480\n63123 94675\n9404 14025\n41471 62151\n68579 100000\n4875 7247\n62466 93683\n93841 100000\n51310 76915\n81103 100000\n92322 100000\n28357 42417\n50202 75252\n26911 40276\n93696 100000\n14022 20957\n67182 100000\n23400 35025\n22597 33821\n59024 88472\n35972 53846\n61471 92197\n23284 34857\n57264 85822\n24717 37001\n68541 100000\n40664 60935\n39318 58897\n20572 30759\n25052 37500\n45144 67628\n66084 99126\n1010 1513\n48732 73025\n5311 7906\n27582 41257\n53509 80213\n23800 35615\n21530 32203\n47667 71438\n75493 100000\n67358 100000\n6767 10073\n51664 77445\n12447 18611\n224 335\n69809 100000\n88112 100000\n40136 60123\n46615 69852\n54432 81592\n51913 77817\n70848 100000\n1953 2924\n92563 100000\n50682 75966\n20755 31041\n44589 66794\n5903 8795\n28358 42419\n52122 78122\n56189 84216\n62056 93087\n83137 100000\n62326 93482\n38181 57181\n7378 11002\n93374 100000\n93978 100000\n10812 16130\n95270 100000\n69019 100000\n40835 61207\n76943 100000\n93101 100000\n93628 100000\n45369 67971\n47809 71657\n58598 87836\n28915 43228\n49205 73755\n11078 16530\n25184 37691\n81784 100000\n34318 51345\n77275 100000\n85217 100000\n55264 82826\n78145 100000\n13900 20776\n66744 100000\n21380 31976\n92751 100000\n29367 43906\n65810 98708\n94281 100000\n22267 33320\n37142 55624\n81507 100000\n71680 100000\n15565 23266\n96237 100000\n82109 100000\n7624 11369\n42798 64122\n86635 100000\n65580 98369\n60751 91109\n77800 100000\n79622 100000\n43017 64464\n57007 85445\n51175 76714\n26545 39737\n11938 17857\n13815 20652\n18342 27422\n8137 12110\n9820 14658\n38611 57835\n58696 87985\n47155 70679\n40234 60275\n13989 20908\n95994 100000\n73012 100000\n83245 100000\n24853 37203\n50608 75850\n39645 59387\n90785 100000\n81555 100000\n5146 7661\n16928 25294\n7326 10927\n10230 15263\n63043 94551\n61694 92541\n86297 100000\n85470 100000\n8041 11966\n36029 53931\n49916 74832\n43156 64664\n49538 74260\n55441 83095\n26465 39621\n86264 100000\n66337 99503\n14707 21972\n10544 15735\n19943 29818\n71860 100000\n54821 82172\n44303 66378\n89452 100000\n26732 40016\n61229 91822\n13563 20282\n10839 16168\n46372 69481\n72085 100000\n33806 50568\n65951 98920\n90230 100000\n25234 37770\n61187 91756\n38310 57376\n19336 28918\n82228 100000\n33546 50177\n53649 80427\n7408 11051\n50535 75752\n88596 100000\n57696 86482\n89529 100000\n8808 13132\n11355 16951\n19259 28802\n70770 100000\n25105 37579\n35563 53226\n14826 22150\n27020 40433\n79951 100000\n188 275\n8141 12117\n70561 100000\n50770 76104\n63726 95557\n11269 16824\n96006 100000\n179 261\n79807 100000\n88951 100000\n15759 23560\n96291 100000\n98094 100000\n48675 72947\n58520 87724\n89208 100000\n72143 100000\n73518 100000\n80913 100000\n93252 100000\n91700 100000\n32740 48964\n59224 88769\n37505 56178\n37350 55941\n86643 100000\n5991 8924\n54266 81349\n9147 13638\n10361 15463\n76124 100000\n69250 100000\n8343 12419\n31022 46410\n68072 100000\n73991 100000\n85227 100000\n63246 94859\n75909 100000\n87903 100000\n46591 69814\n72483 100000\n20704 30964\n5129 7636\n56041 83987\n27649 41357\n80249 100000\n16213 24239\n61544 92310\n8640 12873\n64726 97059\n62264 93394\n42198 63233\n97726 100000\n50259 75338\n98322 100000\n8116 12078\n11397 17011\n1081 1620\n52519 78726\n61321 91974\n98476 100000\n41509 62208\n61986 92977\n23305 34892\n40041 59985\n89050 100000\n60579 90845\n39282 58841\n15076 22523\n92107 100000\n99989 100000\n98503 100000\n59044 88503\n84105 100000\n23433 35074\n48866 73231\n73082 100000\n46315 69393\n70685 100000\n15960 23868\n64637 96926\n33712 50428\n74955 100000\n24801 37132\n46712 70001\n90156 100000\n31132 46571\n83971 100000\n89980 100000\n43978 65906\n50115 75125\n57402 86029\n80441 100000\n30838 46142\n16416 24532\n70168 100000\n74497 100000\n63163 94733\n73564 100000\n63352 95014\n83744 100000\n46226 69259\n15939 23836\n46791 70118\n83178 100000\n41084 61578\n12341 18457\n78187 100000\n74790 100000\n38869 58219\n84106 100000\n63784 95654\n51572 77308\n21255 31791\n49361 73990\n90211 100000\n24470 36636\n92878 100000\n46462 69624\n37861 56703\n82626 100000\n76289 100000\n27039 40460\n28786 43042\n79611 100000\n72380 100000\n68404 100000\n19829 29656\n48885 73262\n47660 71429\n55193 82720\n39054 58492\n1717 2562\n3199 4767\n1569 2341\n26700 39969\n49763 74598\n13265 19833\n7392 11025\n31026 46416\n9169 13672\n13592 20323\n33564 50204\n99990 100000\n53524 80233\n54840 82201\n84559 100000\n41444 62110\n69491 100000\n31287 46809\n80240 100000\n13520 20217\n66273 99405\n43562 65286\n66682 100000\n41572 62295\n88442 100000\n66477 99713\n54421 81575\n3329 4949\n30351 45390\n93759 100000\n57547 86248\n96720 100000\n61343 92010\n97675 100000\n47225 70785\n14625 21850\n92024 100000\n191 281\n23756 35548\n68902 100000\n62642 93949\n96645 100000\n32690 48892\n67840 100000\n81834 100000\n99558 100000\n69119 100000\n3819 5674\n68475 100000\n78073 100000\n83794 100000\n31847 47655\n64394 96565\n53266 79855\n65449 98171\n76891 100000\n67765 100000\n45864 68711\n4715 7007\n25128 37611\n60240 90327\n56231 84279\n99611 100000\n84874 100000\n67308 100000\n97616 100000\n11087 16543\n70347 100000\n35615 53303\n20094 30033\n9745 14540\n51551 77278\n84864 100000\n86349 100000\n44802 67103\n84810 100000\n39543 59246\n1553 2317\n93182 100000\n487 726\n56755 85070\n11133 16610\n59329 88928\n48130 72145\n88478 100000\n29662 44361\n93289 100000\n44400 66516\n76368 100000\n39947 59837\n59692 89487\n67273 100000\n54765 82088\n52155 78174\n15239 22770\n99560 100000\n36060 53982\n51327 76941\n65247 97851\n48088 72079\n17605 26310\n21806 32621\n96209 100000\n48018 71972\n75668 100000\n52623 78883\n61454 92174\n71391 100000\n80381 100000\n85831 100000\n24051 35996\n49288 73876\n30873 46199\n64213 96288\n2596 3886\n19625 29353\n22654 33905\n26809 40130\n92952 100000\n54895 82278\n27074 40514\n24500 36680\n26966 40356\n58400 87542\n21135 31608\n53988 80932\n22519 33702\n65161 97720\n60288 90400\n71744 100000\n54577 81810\n67903 100000\n55450 83109\n75974 100000\n78445 100000\n35324 52844\n61246 91853\n20181 30159\n85679 100000\n3718 5531\n48714 73000\n58768 88092\n18677 27922\n24874 37233\n82884 100000\n21432 32053\n48481 72659\n61700 92552\n53656 80437\n60818 91208\n57145 85645\n32724 48940\n46705 69991\n99840 100000\n29805 44579\n94793 100000\n11638 17395\n26655 39904\n7834 11671\n24131 36112\n83533 100000\n33874 50670\n27882 41699\n26205 39226\n1000 1498\n68279 100000\n14982 22387\n34998 52362\n60858 91265\n53971 80905\n19256 28798\n43664 65436\n1712 2554\n69336 100000\n35468 53077\n72602 100000\n83019 100000\n52532 78743\n23422 35057\n96181 100000\n24528 36728\n21224 31741\n42480 63653\n51951 77875\n68899 100000\n48784 73109\n26344 39437\n82115 100000\n5868 8741\n95991 100000\n75609 100000\n95768 100000\n14964 22364\n13285 19863\n13462 20130\n71465 100000\n24725 37012\n46453 69611\n41936 62842\n79251 100000\n45856 68699\n91543 100000\n2307 3455\n90643 100000\n97057 100000\n73794 100000\n47487 71173\n14606 21820\n97090 100000\n64826 97213\n16638 24861\n47316 70921\n74004 100000\n55075 82546\n14267 21315\n10954 16347\n10838 16166\n53504 80205\n28274 42291\n27122 40593\n68003 100000\n64966 97419\n20422 30534\n87650 100000\n69037 100000\n31272 46786\n14292 21353\n83260 100000\n51481 77168\n26779 40085\n93690 100000\n86669 100000\n34730 51957\n58350 87463\n15403 23014\n96590 100000\n87475 100000\n36645 54880\n61874 92811\n88532 100000\n26952 40335\n11196 16710\n42983 64412\n81668 100000\n79362 100000\n81968 100000\n54842 82204\n35839 53644\n16988 25386\n52392 78528\n24118 36092\n72736 100000\n50022 74992\n24506 36688\n47400 71043\n88292 100000\n41429 62086\n53742 80569\n11816 17670\n19861 29700\n92698 100000\n86150 100000\n11595 17328\n893 1336\n39200 58719\n89477 100000\n97137 100000\n83003 100000\n62115 93173\n30566 45716\n12504 18697\n25553 38240\n84806 100000\n25954 38849\n21412 32023\n34666 51858\n1624 2415\n6292 9382\n42350 63456\n24327 36413\n52765 79104\n8327 12396\n1378 2061\n24442 36592\n4465 6639\n81833 100000\n58654 87924\n35840 53646\n75728 100000\n74038 100000\n64174 96234\n12920 19321\n2409 3609\n78837 100000\n1969 2947\n68036 100000\n82836 100000\n94429 100000\n46408 69537\n47539 71255\n64316 96446\n38774 58078\n35603 53284\n94002 100000\n7664 11428\n24843 37189\n58041 87000\n94616 100000\n76635 100000\n79343 100000\n68302 100000\n88698 100000\n56745 85057\n1866 2791\n21193 31693\n57131 85624\n29486 44085\n78430 100000\n16941 25315\n90330 100000\n5373 8004\n24249 36297\n48529 72728\n39255 58801\n30213 45192\n44357 66457\n96378 100000\n27276 40811\n92890 100000\n83065 100000\n2823 4211\n48826 73173\n30891 46226\n28240 42239\n48667 72934\n96841 100000\n24178 36187\n57391 86011\n81439 100000\n61256 91871\n80491 100000\n70315 100000\n64467 96673\n89839 100000\n47699 71488\n75555 100000\n97039 100000\n9542 14236\n46181 69191\n39481 59152\n73070 100000\n57236 85779\n8051 11980\n30582 45742\n98171 100000\n60859 91266\n72827 100000\n62768 94135\n69531 100000\n25671 38423\n13981 20895\n28164 42125\n32372 48436\n82409 100000\n18265 27301\n46087 69047\n67119 100000\n63744 95588\n88042 100000\n69557 100000\n36930 55304\n25082 37548\n6557 9770\n38733 58019\n65344 98010\n70827 100000\n33688 50392\n29891 44707\n30210 45186\n48079 72066\n30629 45818\n82703 100000\n45517 68188\n58119 87115\n46323 69405\n58158 87176\n10297 15364\n21888 32754\n51638 77402\n65984 98972\n65578 98365\n3194 4760\n5508 8207\n8388 12486\n43448 65116\n62235 93354\n81556 100000\n46101 69069\n66320 99479\n39794 59611\n38291 57348\n12407 18556\n69459 100000\n6365 9488\n43196 64717\n8876 13236\n63432 95131\n50884 76275\n34470 51577\n72826 100000\n83624 100000\n90349 100000\n92684 100000\n51222 76784\n8108 12068\n68454 100000\n33764 50505\n47328 70936\n57786 86612\n50640 75894\n60059 90049\n32374 48438\n59782 89626\n6585 9811\n99666 100000\n68861 100000\n29031 43405\n58340 87448\n80146 100000\n63029 94529\n7857 11706\n85471 100000\n12425 18582\n71155 100000\n42163 63182\n67890 100000\n4661 6932\n61413 92115\n4392 6531\n24247 36295\n25490 38152\n98569 100000\n49496 74197\n66937 100000\n76115 100000\n7064 10529\n37330 55914\n81091 100000\n18400 27505\n28345 42399\n19009 28423\n130 187\n96361 100000\n60807 91189\n98358 100000\n49495 74196\n88779 100000\n96402 100000\n36862 55212\n45510 68178\n70595 100000\n45184 67689\n11918 17824\n54305 81404\n45749 68541\n88796 100000\n23988 35900\n43381 65009\n87233 100000\n44625 66843\n93826 100000\n14029 20967\n84620 100000\n34778 52027\n537 802\n75171 100000\n20286 30321\n8420 12532\n59165 88680\n79842 100000\n36753 55045\n89062 100000\n52814 79185\n27593 41275\n57296 85864\n46862 70230\n74867 100000\n33045 49430\n26661 39916\n8342 12417\n35740 53492\n36369 54461\n901 1348\n92819 100000\n69778 100000\n88853 100000\n25711 38483\n48979 73405\n361 529\n2123 3181\n83319 100000\n40852 61231\n38206 57219\n52632 78894\n96735 100000\n81890 100000\n90238 100000\n68715 100000\n66627 99937\n15186 22686\n34933 52262\n29313 43823\n7441 11097\n33169 49619\n85755 100000\n75239 100000\n39766 59567\n60003 89959\n29246 43724\n76629 100000\n79225 100000\n91594 100000\n27752 41510\n10495 15666\n94672 100000\n84538 100000\n47416 71067\n13118 19615\n95380 100000\n87853 100000\n1872 2801\n74513 100000\n43022 64474\n55976 83895\n48955 73370\n20875 31213\n56114 84101\n80048 100000\n4313 6412\n58019 86965\n66236 99352\n54246 81318\n80332 100000\n13495 20181\n80919 100000\n47766 71590\n94916 100000\n62120 93180\n51411 77070\n7821 11650\n70796 100000\n61380 92065\n80160 100000\n1121 1678\n62180 93270\n68281 100000\n39385 59004\n86776 100000\n57152 85656\n29015 43381\n11028 16457\n21262 31802\n75001 100000\n46201 69219\n70126 100000\n90535 100000\n6022 8971\n48380 72508\n71631 100000\n31067 46478\n21671 32418\n61653 92474\n11048 16489\n95744 100000\n96208 100000\n70242 100000\n76498 100000\n76615 100000\n47125 70633\n60031 90003\n54057 81031\n9611 14336\n52089 78078\n74972 100000\n4346 6463\n40148 60143\n28251 42255\n70587 100000\n51050 76527\n63881 95802\n36050 53966\n99917 100000\n61216 91802\n32921 49242\n26250 39296\n76946 100000\n1950 2918\n35076 52475\n7767 11577\n50362 75496\n30856 46170\n83824 100000\n18252 27282\n7513 11204\n44404 66524\n35516 53155\n84118 100000\n68344 100000\n91996 100000\n82379 100000\n84323 100000\n76821 100000\n40681 60961\n8027 11946\n47087 70572\n90103 100000\n80902 100000\n47874 71758\n82635 100000\n85206 100000\n91310 100000\n23945 35837\n55141 82640\n26301 39373\n33068 49467\n85389 100000\n90149 100000\n77362 100000\n92609 100000\n424 630\n55430 83077\n32212 48204\n96262 100000\n83578 100000\n11331 16914\n50802 76153\n83713 100000\n96245 100000\n17016 25424\n10008 14942\n6723 10013\n66426 99637\n77322 100000\n14760 22050\n58046 87008\n84518 100000\n81350 100000\n27148 40630\n89287 100000\n95895 100000\n35798 53579\n10406 15538\n21419 32033\n9020 13453\n84534 100000\n40162 60162\n48073 72057\n68811 100000\n29564 44208\n17325 25887\n55789 83605\n38059 57002\n29436 44011\n37532 56220\n48469 72641\n68869 100000\n17910 26778\n84923 100000\n62176 93264\n33370 49916\n24235 36274\n52404 78549\n13376 19997\n73095 100000\n34824 52096\n78221 100000\n6 9\n31046 46446\n3597 5344\n13902 20779\n55495 83173\n3570 5307\n61356 92031\n42982 64410\n54571 81800\n21707 32471\n24972 37374\n67272 100000\n83902 100000\n26766 40067\n22251 33296\n62545 93801\n25650 38389\n33724 50446\n30363 45412\n26679 39940\n91335 100000\n17457 26094\n62432 93635\n48120 72129\n14858 22202\n78190 100000\n23266 34831\n76334 100000\n10084 15051\n14845 22180\n4496 6688\n11733 17542\n39080 58532\n11792 17634\n31396 46976\n50311 75416\n86678 100000\n34224 51197\n79990 100000\n58445 87608\n21562 32255\n86487 100000\n55173 82690\n6341 9456\n5505 8203\n2754 4106\n38566 57771\n67497 100000\n68548 100000\n36748 55037\n107 156\n79573 100000\n32753 48987\n919 1374\n51029 76495\n49216 73771\n8898 13268\n39513 59203\n2310 3460\n50187 75230\n32450 48552\n1434 2147\n74479 100000\n16306 24372\n13591 20322\n47772 71601\n64441 96638\n34681 51885\n12446 18610\n15944 23843\n41226 61789\n57162 85671\n74828 100000\n80015 100000\n72051 100000\n88778 100000\n16935 25305\n91232 100000\n45264 67812\n19207 28717\n40793 61139\n18595 27796\n19874 29720\n30243 45236\n38668 57917\n18886 28238\n6176 9213\n94381 100000\n83920 100000\n50151 75178\n26800 40116\n182 265\n83014 100000\n153 225\n87173 100000\n94791 100000\n40021 59951\n28778 43029\n93080 100000\n37985 56888\n89493 100000\n68077 100000\n61510 92255\n24648 36902\n21100 31553\n35202 52667\n73143 100000\n37827 56648\n73782 100000\n44202 66241\n41296 61884\n45182 67685\n24517 36709\n20710 30974\n11906 17808\n15864 23716\n34107 51022\n67833 100000\n42518 63709\n70210 100000\n86704 100000\n90962 100000\n45464 68110\n92020 100000\n84240 100000\n38976 58373\n63348 95008\n37903 56769\n50319 75428\n31334 46882\n10665 15909\n17968 26858\n7526 11223\n37377 55986\n48106 72106\n34891 52196\n73213 100000\n33306 49818\n583 873\n92953 100000\n63495 95220\n2031 3042\n20276 30303\n19049 28482\n85272 100000\n26424 39558\n95114 100000\n98509 100000\n70330 100000\n78490 100000\n86625 100000\n13090 19575\n73920 100000\n50844 76216\n79723 100000\n22701 33974\n44681 66930\n33102 49519\n30244 45237\n33723 50444\n37704 56474\n29543 44174\n75445 100000\n96092 100000\n31630 47326\n71362 100000\n19755 29541\n73250 100000\n60620 90906\n66463 99693\n77438 100000\n41660 62426\n27184 40680\n98666 100000\n50967 76403\n99952 100000\n19495 29153\n71995 100000\n3029 4517\n21824 32649\n67071 100000\n93256 100000\n56315 84404\n67711 100000\n97231 100000\n64926 97362\n43575 65307\n28151 42106\n39044 58474\n76357 100000\n45405 68021\n88354 100000\n50239 75307\n79491 100000\n17244 25761\n80443 100000\n60129 90156\n79420 100000\n26390 39509\n52587 78828\n6980 10407\n73835 100000\n67480 100000\n46707 69994\n28605 42766\n68713 100000\n94387 100000\n19548 29233\n1548 2309\n63710 95533\n18333 27409\n17026 25439\n21663 32406\n49134 73646\n77939 100000\n53246 79828\n22890 34270\n6781 10098\n71963 100000\n45711 68483\n64118 96151\n22122 33103\n17639 26360\n52496 78692\n36169 54157\n78911 100000\n9451 14099\n83036 100000\n87006 100000\n30297 45314\n27469 41094\n52313 78414\n85419 100000\n57102 85586\n22635 33879\n37063 55503\n72077 100000\n75870 100000\n37102 55565\n47934 71851\n82914 100000\n82 122\n29937 44778\n27493 41128\n30919 46266\n87388 100000\n57176 85689\n68257 100000\n16102 24076\n92602 100000\n77037 100000\n92881 100000\n78377 100000\n73631 100000\n70529 100000\n45397 68010\n21490 32141\n15740 23528\n11073 16522\n67137 100000\n44119 66116\n23488 35158\n66583 99871\n56029 83969\n91347 100000\n90601 100000\n88426 100000\n25301 37870\n60328 90465\n93237 100000\n59892 89784\n41531 62241\n58866 88241\n58200 87238\n19523 29198\n35204 52671\n62244 93367\n58248 87311\n66512 99763\n92380 100000\n27601 41288\n82592 100000\n51648 77419\n42138 63145\n32349 48405\n85364 100000\n47372 71004\n57244 85791\n55887 83757\n33641 50319\n42792 64113\n33715 50431\n97005 100000\n35831 53631\n4307 6405\n51929 77839\n63764 95620\n82652 100000\n14227 21256\n90642 100000\n20027 29934\n6441 9598\n84088 100000\n9594 14313\n72317 100000\n12261 18348\n79902 100000\n73233 100000\n34307 51329\n51367 77004\n85484 100000\n55047 82506\n62003 93004\n64778 97139\n19499 29159\n13252 19813\n91672 100000\n48139 72157\n4519 6721\n51104 76602\n53318 79933\n43016 64462\n82167 100000\n87481 100000\n67186 100000\n27110 40572\n11907 17810\n86843 100000\n33777 50524\n95733 100000\n16912 25266\n73105 100000\n89343 100000\n47355 70980\n50188 75231\n70085 100000\n56975 85396\n61492 92228\n96267 100000\n12815 19168\n21163 31648\n40319 60402\n28495 42612\n85124 100000\n11625 17378\n33816 50584\n61175 91738\n8181 12177\n71018 100000\n33598 50256\n71107 100000\n53089 79591\n40215 60244\n81271 100000\n95112 100000\n48350 72463\n62812 94204\n93177 100000\n88857 100000\n50721 76029\n76748 100000\n85491 100000\n86224 100000\n12932 19337\n12764 19090\n13239 19797\n29625 44304\n60587 90855\n58773 88100\n59772 89611\n40952 61380\n35323 52842\n28600 42760\n37412 56035\n76505 100000\n35513 53150\n28575 42723\n1538 2295\n1225 1833\n5945 8857\n18446 27573\n24551 36760\n24709 36989\n94922 100000\n75383 100000\n69980 100000\n93509 100000\n76612 100000\n40638 60893\n74741 100000\n64607 96880\n11042 16480\n63692 95506\n24909 37283\n15841 23683\n70787 100000\n30490 45601\n37951 56834\n98717 100000\n48537 72741\n31320 46859\n6569 9789\n63896 95825\n47406 71052\n48614 72855\n60719 91061\n23523 35209\n64020 96010\n77262 100000\n39507 59192\n89707 100000\n73802 100000\n68356 100000\n52243 78310\n24285 36346\n604 902\n43944 65859\n28725 42953\n69898 100000\n29342 43867\n72671 100000\n60176 90223\n16205 24228\n44743 67021\n72924 100000\n49691 74492\n50354 75484\n55940 83842\n52482 78672\n84615 100000\n7278 10851\n13990 20910\n12216 18274\n89264 100000\n28384 42453\n66993 100000\n82479 100000\n94955 100000\n56607 84847\n74938 100000\n34963 52308\n70883 100000\n9234 13765\n84156 100000\n33708 50421\n11822 17679\n50279 75370\n24780 37099\n5381 8014\n38791 58104\n42508 63694\n405 599\n24889 37255\n20333 30396\n16539 24722\n87767 100000\n36347 54427\n99312 100000\n64218 96297\n71396 100000\n69363 100000\n29876 44683\n65178 97748\n12997 19432\n56199 84230\n99707 100000\n17902 26767\n46472 69638\n68888 100000\n2001 2998\n83440 100000\n92662 100000\n95950 100000\n32477 48591\n96777 100000\n10303 15371\n57674 86448\n19532 29210\n72801 100000\n7836 11674\n35155 52595\n61348 92018\n83011 100000\n26484 39647\n32905 49219\n68040 100000\n67690 100000\n8072 12010\n56536 84745\n35625 53317\n76945 100000\n7430 11081\n19449 29082\n11015 16438\n83041 100000\n30899 46238\n86686 100000\n39668 59420\n30805 46089\n73730 100000\n23587 35303\n73071 100000\n27029 40445\n4426 6583\n22704 33979\n28219 42208\n7346 10954\n68812 100000\n49863 74749\n12499 18689\n66953 100000\n39724 59505\n21990 32901\n30869 46191\n44416 66538\n44776 67066\n10062 15022\n30185 45150\n57680 86457\n98546 100000\n47009 70454\n9245 13785\n1105 1655\n13679 20442\n75714 100000\n84163 100000\n18626 27840\n73173 100000\n26515 39688\n45410 68029\n11834 17698\n47551 71273\n36814 55136\n49805 74662\n54873 82250\n2768 4125\n88738 100000\n84242 100000\n32260 48275\n12123 18141\n8491 12648\n25820 38647\n53386 80031\n40633 60885\n75519 100000\n98840 100000\n14996 22408\n34175 51123\n72243 100000\n60494 90714\n67330 100000\n10385 15503\n80174 100000\n17957 26843\n25698 38464\n82513 100000\n62516 93762\n9900 14778\n95584 100000\n258 382\n5173 7706\n80598 100000\n26088 39045\n24105 36072\n65615 98420\n4603 6842\n50528 75742\n1060 1587\n60994 91468\n16642 24867\n36795 55108\n3768 5602\n3081 4592\n93187 100000\n54458 81632\n16991 25390\n8907 13281\n71365 100000\n1608 2393\n96076 100000\n54405 81553\n12422 18579\n3397 5050\n5993 8927\n56565 84788\n28877 43178\n85696 100000\n15824 23659\n62726 94073\n18495 27646\n36718 54991\n12195 18243\n81645 100000\n61609 92409\n3217 4794\n93084 100000\n41452 62119\n25119 37600\n83594 100000\n74340 100000\n10029 14974\n41985 62918\n16634 24855\n55851 83703\n43271 64839\n40660 60928\n63122 94674\n23142 34638\n57601 86331\n28622 42795\n82872 100000\n92257 100000\n1867 2792\n80406 100000\n5330 7934\n31854 47666\n18055 26989\n568 851\n51418 77080\n62536 93789\n61204 91785\n33280 49780\n18540 27716\n73074 100000\n65355 98028\n71618 100000\n4267 6345\n18064 27003\n72222 100000\n91910 100000\n9667 14418\n74878 100000\n9625 14357\n99347 100000\n45878 68733\n40683 60965\n96547 100000\n76975 100000\n87346 100000\n55027 82477\n57881 86756\n28389 42462\n19003 28412\n59552 89269\n61836 92749\n86530 100000\n64015 96004\n47179 70714\n55883 83752\n28228 42221\n28582 42733\n95470 100000\n49298 73889\n93133 100000\n21546 32230\n79760 100000\n4658 6927\n92325 100000\n90019 100000\n70754 100000\n56032 83973\n93357 100000\n85352 100000\n18966 28355\n4920 7318\n20903 31259\n23529 35217\n75704 100000\n24734 37026\n88139 100000\n64917 97347\n26899 40257\n89069 100000\n56406 84542\n20873 31211\n39518 59210\n32777 49021\n32432 48524\n10404 15534\n44046 66005\n47554 71276\n34643 51827\n89157 100000\n35856 53670\n22865 34230\n71552 100000\n70198 100000\n96561 100000\n62057 93089\n32147 48105\n45926 68800\n99212 100000\n55654 83403\n50868 76249\n58317 87420\n54595 81835\n55639 83382\n33927 50754\n5484 8171\n47109 70608\n85231 100000\n67156 100000\n17146 25617\n51274 76864\n77999 100000\n87855 100000\n78220 100000\n43802 65643\n64334 96470\n63855 95764\n81920 100000\n74644 100000\n12878 19259\n47395 71036\n36411 54520\n44489 66644\n97115 100000\n13898 20773\n29500 44109\n17129 25592\n50180 75221\n42933 64337\n67240 100000\n95363 100000\n13072 19550\n17704 26465\n69440 100000\n4106 6098\n47231 70795\n38812 58133\n17002 25404\n28848 43131\n12816 19170\n88077 100000\n87957 100000\n35236 52719\n55942 83845\n18979 28373\n82013 100000\n87366 100000\n78668 100000\n57397 86020\n96973 100000\n14524 21696\n15953 23858\n35607 53290\n51914 77818\n30616 45799\n40856 61236\n20397 30498\n34581 51739\n4783 7111\n57979 86901\n29933 44773\n45150 67635\n27353 40922\n59713 89518\n81145 100000\n13850 20701\n93294 100000\n77682 100000\n84185 100000\n40746 61064\n65739 98605\n17433 26057\n85993 100000\n22274 33331\n55223 82765\n46903 70292\n16247 24293\n41490 62177\n69039 100000\n10464 15624\n54341 81458\n59543 89254\n55956 83866\n89051 100000\n34170 51117\n84667 100000\n90259 100000\n31650 47356\n81455 100000\n32973 49318\n88598 100000\n18956 28340\n44473 66621\n6549 9760\n46140 69133\n4781 7108\n35111 52529\n68350 100000\n23718 35496\n31340 46891\n48225 72277\n35637 53332\n76318 100000\n3232 4815\n78665 100000\n33144 49585\n96903 100000\n20773 31070\n77182 100000\n99784 100000\n87348 100000\n24611 36848\n34658 51847\n6751 10049\n74368 100000\n88031 100000\n97961 100000\n86265 100000\n75275 100000\n36607 54822\n70769 100000\n43013 64458\n86343 100000\n20316 30373\n80179 100000\n74380 100000\n11359 16956\n62772 94140\n64469 96675\n88005 100000\n51315 76923\n83586 100000\n53350 79979\n51514 77217\n10295 15360\n48699 72977\n17293 25837\n97186 100000\n708 1059\n34968 52316\n76396 100000\n15262 22803\n98735 100000\n69868 100000\n17991 26895\n17692 26448\n6970 10391\n72457 100000\n70515 100000\n79845 100000\n9789 14606\n77457 100000\n17463 26103\n81612 100000\n88243 100000\n44549 66734\n53028 79515\n3437 5105\n2060 3087\n8203 12208\n97385 100000\n48650 72908\n724 1082\n45792 68607\n50581 75814\n5662 8427\n34655 51843\n22459 33614\n8674 12923\n29254 43737\n94271 100000\n87527 100000\n50190 75234\n4288 6380\n56768 85088\n65870 98795\n26959 40345\n30596 45765\n68235 100000\n94577 100000\n26027 38954\n14915 22289\n70783 100000\n52666 78953\n84326 100000\n91331 100000\n89448 100000\n61127 91665\n22201 33217\n89340 100000\n15587 23299\n27167 40656\n439 655\n26327 39415\n36350 54430\n1328 1987\n88270 100000\n77887 100000\n61870 92803\n56117 84105\n18618 27825\n45554 68244\n51719 77528\n53641 80416\n17765 26554\n76649 100000\n66543 99812\n36380 54478\n41650 62409\n58117 87112\n78763 100000\n86588 100000\n76428 100000\n86597 100000\n73586 100000\n98439 100000\n52094 78085\n43303 64891\n17473 26117\n15025 22451\n37388 56002\n32100 48034\n63998 95980\n72453 100000\n97158 100000\n61985 92976\n38720 57997\n15458 23103\n9244 13784\n15341 22920\n10110 15091\n72293 100000\n15724 23504\n29352 43884\n45679 68433\n34499 51621\n16215 24242\n45420 68045\n25523 38200\n252 373\n3603 5352\n63101 94643\n43590 65332\n79293 100000\n16759 25040\n65304 97946\n58730 88035\n59403 89039\n57610 86347\n34469 51576\n32336 48386\n32873 49169\n33361 49900\n80628 100000\n772 1154\n71986 100000\n93404 100000\n17863 26715\n66998 100000\n34893 52200\n8885 13249\n34204 51166\n25443 38082\n81975 100000\n98089 100000\n82746 100000\n1375 2057\n18453 27584\n88518 100000\n25250 37794\n39502 59184\n70077 100000\n25480 38137\n3161 4709\n60300 90420\n63434 95134\n77403 100000\n65444 98163\n84992 100000\n30455 45550\n7627 11373\n24350 36450\n10750 16038\n64022 96013\n26416 39547\n80028 100000\n79147 100000\n76555 100000\n12010 17970\n1841 2753\n57635 86387\n98460 100000\n82700 100000\n53872 80761\n65038 97530\n16764 25049\n79444 100000\n8549 12742\n42878 64247\n70390 100000\n15730 23513\n19747 29530\n84884 100000\n10740 16021\n13424 20075\n36700 54964\n24480 36650\n82643 100000\n4359 6483\n1943 2906\n36059 53980\n49045 73507\n31691 47418\n58314 87415\n45695 68458\n97016 100000\n56306 84391\n12405 18552\n677 1015\n40883 61277\n8993 13411\n5236 7797\n8326 12395\n47242 70809\n23282 34854\n94376 100000\n65689 98529\n91183 100000\n53396 80045\n51320 76931\n34162 51106\n16170 24173\n95161 100000\n83371 100000\n53727 80546\n40503 60679\n62722 94066\n63396 95075\n74738 100000\n72068 100000\n18824 28143\n30632 45823\n49606 74367\n83966 100000\n90057 100000\n87027 100000\n55714 83489\n69746 100000\n2291 3427\n18373 27467\n1389 2076\n56161 84172\n25069 37526\n86913 100000\n39555 59260\n85642 100000\n51485 77174\n17411 26022\n72216 100000\n75698 100000\n16498 24660\n5819 8666\n44787 67082\n61994 92990\n91692 100000\n62745 94098\n50944 76367\n37738 56523\n67305 100000\n42458 63626\n64742 97082\n23445 35090\n72777 100000\n97333 100000\n93778 100000\n75990 100000\n83636 100000\n59343 88950\n17817 26641\n6943 10348\n71142 100000\n25426 38058\n20707 30968\n47052 70517\n22803 34133\n1018 1523\n46112 69085\n36505 54660\n25961 38858\n26109 39079\n6154 9181\n37080 55533\n91818 100000\n26081 39034\n4247 6318\n12636 18896\n52556 78780\n40104 60077\n59379 89002\n14959 22358\n15431 23060\n21700 32462\n50492 75684\n32439 48533\n27179 40674\n22136 33124\n78921 100000\n24083 36042\n77551 100000\n92244 100000\n10821 16141\n29406 43964\n68871 100000\n14960 22359\n2410 3610\n7495 11175\n12140 18165\n52480 78669\n39353 58952\n17464 26105\n49126 73633\n36117 54079\n74798 100000\n64052 96057\n48239 72299\n61761 92640\n25401 38019\n97112 100000\n31756 47519\n18156 27139\n62998 94481\n27356 40928\n39186 58695\n13761 20572\n84021 100000\n80431 100000\n65502 98254\n66950 100000\n8650 12889\n99981 100000\n63033 94535\n86011 100000\n21423 32039\n24234 36272\n39940 59827\n48758 73065\n81048 100000\n68360 100000\n36572 54768\n98818 100000\n29620 44297\n14743 22027\n30683 45900\n45376 67982\n96300 100000\n10698 15956\n37666 56420\n9411 14035\n23056 34515\n61804 92703\n55374 82993\n51185 76732\n22149 33144\n89326 100000\n65348 98017\n27174 40666\n85545 100000\n56947 85356\n53786 80633\n22058 33002\n53361 79995\n83904 100000\n45303 67872\n24318 36401\n59795 89646\n828 1240\n7187 10718\n66180 99271\n33049 49437\n50832 76197\n40700 60991\n77803 100000\n91870 100000\n15806 23628\n24068 36019\n31289 46812\n27036 40456\n18673 27917\n23671 35430\n58952 88366\n72255 100000\n32085 48010\n75811 100000\n20480 30616\n11657 17426\n18874 28221\n18275 27317\n87312 100000\n12306 18411\n35481 53097\n99398 100000\n5024 7478\n79400 100000\n85090 100000\n48653 72912\n64105 96133\n44944 67319\n163 242\n71615 100000\n49044 73505\n14496 21656\n84477 100000\n10012 14948\n94297 100000\n71204 100000\n89495 100000\n19492 29148\n47812 71662\n17285 25825\n1818 2715\n95013 100000\n96643 100000\n19147 28629\n73293 100000\n76795 100000\n32515 48643\n10104 15083\n88092 100000\n34799 52059\n43170 64683\n91909 100000\n68858 100000\n34042 50922\n63513 95245\n46358 69457\n47474 71156\n74821 100000\n43464 65143\n71822 100000\n54741 82051\n52329 78436\n91908 100000\n14250 21288\n89831 100000\n9322 13898\n92910 100000\n41700 62482\n43402 65045\n36394 54499\n2420 3623\n82529 100000\n19061 28502\n45283 67841\n58323 87429\n89091 100000\n31779 47554\n90958 100000\n20389 30485\n82416 100000\n18724 27996\n79257 100000\n26772 40075\n2108 3159\n18230 27250\n14929 22311\n2899 4328\n28687 42894\n61742 92617\n18367 27458\n70090 100000\n14003 20929\n35210 52681\n66022 99029\n41073 61562\n70111 100000\n40649 60910\n63309 94952\n82270 100000\n19002 28411\n41100 61601\n8305 12361\n62850 94260\n60871 91284\n12161 18195\n90364 100000\n45168 67663\n32314 48356\n37635 56373\n88658 100000\n37837 56666\n65066 97569\n6270 9352\n62780 94152\n54291 81385\n86293 100000\n20649 30881\n83793 100000\n95679 100000\n92389 100000\n36537 54711\n55349 82955\n7184 10714\n43767 65592\n91406 100000\n97350 100000\n77725 100000\n65582 98371\n77445 100000\n29803 44577\n68381 100000\n68987 100000\n79237 100000\n42689 63961\n49418 74078\n21159 31643\n67139 100000\n5001 7440\n28112 42048\n13818 20657\n88175 100000\n39193 58709\n21438 32063\n78151 100000\n66944 100000\n68270 100000\n31216 46695\n96303 100000\n99642 100000\n29171 43610\n8149 12128\n35030 52411\n56886 85270\n94328 100000\n31078 46494\n74994 100000\n32169 48138\n43639 65402\n53002 79476\n76029 100000\n23270 34836\n90566 100000\n91720 100000\n99245 100000\n92252 100000\n19944 29819\n20107 30053\n20969 31354\n61580 92362\n32198 48183\n27130 40604\n99198 100000\n28413 42498\n20376 30463\n98743 100000\n6370 9495\n88162 100000\n94867 100000\n42363 63479\n48083 72072\n46232 69267\n66275 99407\n39615 59347\n4085 6063\n11734 17544\n9541 14234\n96227 100000\n32791 49041\n41889 62770\n58534 87742\n5428 8089\n36316 54377\n42470 63641\n65387 98077\n86959 100000\n48379 72506\n84380 100000\n60865 91276\n30739 45988\n39242 58781\n85358 100000\n99619 100000\n28728 42958\n91104 100000\n56758 85076\n85634 100000\n59937 89857\n45544 68230\n78438 100000\n45997 68913\n1981 2969\n90651 100000\n96040 100000\n71510 100000\n61025 91513\n28861 43155\n8056 11986\n94980 100000\n86238 100000\n83503 100000\n264 390\n87656 100000\n56089 84059\n67046 100000\n85467 100000\n24386 36507\n41704 62489\n17787 26589\n86184 100000\n13842 20690\n90000 100000\n79981 100000\n50728 76042\n83399 100000\n18601 27803\n37353 55945\n57165 85674\n53857 80738\n76352 100000\n85177 100000\n4433 6595\n98726 100000\n71691 100000\n9500 14170\n25870 38720\n26740 40028\n39389 59011\n71432 100000\n21678 32429\n78384 100000\n32796 49051\n22979 34406\n66820 100000\n44036 65990\n84995 100000\n86125 100000\n24981 37391\n24385 36505\n91682 100000\n5322 7923\n61059 91566\n16660 24892\n70385 100000\n82926 100000\n14346 21432\n67481 100000\n59172 88690\n95419 100000\n36702 54966\n839 1258\n92610 100000\n78470 100000\n76030 100000\n28042 41940\n50126 75139\n90855 100000\n72137 100000\n66861 100000\n12376 18508\n79728 100000\n41768 62585\n32486 48603\n40537 60736\n50998 76448\n33689 50393\n70638 100000\n92169 100000\n63384 95057\n91609 100000\n48044 72013\n83358 100000\n11271 16827\n40235 60276\n82064 100000\n13107 19601\n82080 100000\n18808 28119\n20202 30187\n26475 39636\n81652 100000\n63247 94860\n31074 46488\n87688 100000\n16015 23946\n31456 47068\n4401 6542\n17087 25531\n54052 81024\n95718 100000\n92009 100000\n69560 100000\n95178 100000\n71643 100000\n38784 58092\n52331 78439\n79544 100000\n54032 80996\n80898 100000\n25240 37778\n95196 100000\n21665 32410\n40139 60128\n27060 40491\n26488 39652\n1702 2537\n78692 100000\n61814 92717\n42440 63598\n19315 28885\n43007 64448\n3620 5377\n25678 38433\n42134 63138\n84584 100000\n55195 82723\n4676 6953\n44061 66028\n65570 98354\n50277 75367\n17031 25446\n93942 100000\n24777 37093\n79676 100000\n4316 6417\n11208 16728\n85631 100000\n33268 49763\n72229 100000\n3268 4870\n4943 7352\n65738 98604\n26423 39557\n38316 57385\n75346 100000\n54206 81259\n97810 100000\n46361 69462\n57011 85450\n17706 26468\n14231 21262\n64659 96961\n5060 7539\n13640 20391\n84117 100000\n70485 100000\n62362 93536\n59716 89521\n65666 98491\n4737 7041\n58974 88399\n24019 35945\n64862 97266\n17814 26635\n35822 53617\n530 789\n18763 28053\n29850 44646\n697 1043\n55320 82912\n57146 85647\n15857 23707\n30820 46112\n614 916\n68726 100000\n87237 100000\n36205 54214\n26956 40340\n79756 100000\n87665 100000\n254 375\n8167 12156\n15449 23088\n3908 5803\n47627 71381\n96956 100000\n94794 100000\n923 1382\n99239 100000\n20336 30400\n50726 76038\n73866 100000\n5668 8436\n68797 100000\n90538 100000\n36167 54153\n6535 9741\n23405 35032\n23261 34822\n1789 2674\n75988 100000\n75545 100000\n35081 52484\n35312 52827\n48638 72891\n54440 81604\n90716 100000\n10470 15633\n51312 76919\n85182 100000\n28246 42248\n58629 87882\n43254 64810\n74589 100000\n76968 100000\n10726 15999\n92805 100000\n38032 56960\n84268 100000\n8224 12242\n75105 100000\n61102 91629\n28997 43352\n95434 100000\n61016 91500\n91554 100000\n66549 99821\n17849 26693\n8245 12273\n88966 100000\n85026 100000\n49110 73610\n43699 65490\n91378 100000\n45358 67953\n620 927\n57338 85932\n42835 64180\n92443 100000\n30288 45302\n8505 12670\n19858 29696\n55860 83719\n91812 100000\n26206 39227\n83034 100000\n48129 72143\n86056 100000\n82702 100000\n81739 100000\n6161 9190\n43869 65745\n84059 100000\n37289 55847\n56318 84409\n5438 8103\n20650 30883\n47220 70777\n18474 27613\n9741 14535\n8692 12950\n66242 99359\n2479 3711\n53409 80063\n85797 100000\n24667 36928\n7111 10601\n8753 13039\n14288 21348\n24670 36933\n10639 15871\n59282 88863\n16119 24099\n1970 2949\n21263 31803\n81205 100000\n26347 39443\n59007 88447\n76822 100000\n38773 58077\n9538 14231\n30878 46207\n69875 100000\n12145 18173\n23986 35898\n34190 51144\n33418 49984\n8283 12325\n12953 19369\n71601 100000\n84741 100000\n12811 19163\n27340 40906\n86759 100000\n8879 13242\n89644 100000\n90150 100000\n65992 98984\n22343 33442\n51945 77863\n89284 100000\n58004 86943\n72041 100000\n62560 93824\n58667 87944\n25777 38583\n51957 77884\n27123 40595\n14968 22369\n88693 100000\n75651 100000\n49504 74210\n51874 77756\n18088 27038\n99488 100000\n8015 11930\n18401 27507\n68103 100000\n6088 9073\n17338 25909\n52958 79408\n713 1065\n92623 100000\n46899 70286\n57327 85915\n34220 51190\n51895 77787\n82422 100000\n88587 100000\n39553 59258\n46601 69830\n73891 100000\n96540 100000\n45553 68243\n47578 71312\n86404 100000\n31023 46411\n91980 100000\n26258 39307\n66748 100000\n15709 23480\n22789 34112\n41547 62264\n80133 100000\n68585 100000\n71020 100000\n42331 63427\n83694 100000\n82750 100000\n33645 50323\n69377 100000\n31086 46504\n32401 48477\n404 597\n27588 41268\n14136 21122\n4840 7196\n73890 100000\n13571 20295\n86179 100000\n45174 67672\n92745 100000\n81300 100000\n21360 31946\n37109 55575\n95626 100000\n36545 54724\n42978 64406\n66360 99537\n77960 100000\n19961 29842\n93246 100000\n21554 32244\n12473 18650\n2657 3975\n26563 39766\n86687 100000\n54095 81091\n84743 100000\n82543 100000\n86144 100000\n80273 100000\n41735 62534\n73801 100000\n30799 46081\n72468 100000\n85559 100000\n86100 100000\n86123 100000\n50607 75849\n93452 100000\n23364 34974\n45757 68553\n91930 100000\n40632 60884\n58862 88236\n87098 100000\n16270 24324\n17110 25564\n15282 22831\n23589 35306\n27350 40919\n44960 67345\n43555 65274\n24053 35998\n87561 100000\n44247 66299\n42272 63344\n8252 12282\n43772 65598\n32447 48546\n13512 20204\n61621 92427\n27767 41529\n69780 100000\n92514 100000\n40799 61148\n3610 5363\n98440 100000\n75524 100000\n58151 87166\n74094 100000\n4548 6761\n80294 100000\n72904 100000\n37323 55902\n63802 95681\n5626 8375\n25012 37439\n4185 6224\n54176 81215\n26842 40173\n33703 50413\n76801 100000\n2075 3110\n18451 27581\n13725 20513\n12981 19410\n74450 100000\n23918 35797\n18770 28062\n81255 100000\n65837 98747\n36327 54396\n90512 100000\n57430 86072\n33898 50706\n6117 9116\n53917 80826\n51609 77361\n6181 9221\n59278 88856\n59004 88443\n48369 72491\n89579 100000\n992 1483\n29804 44578\n17953 26838\n4877 7251\n55802 83624\n55567 83278\n45777 68585\n92369 100000\n13937 20828\n2029 3039\n20777 31077\n8721 12995\n99410 100000\n65771 98652\n7596 11326\n74597 100000\n32560 48703\n18100 27059\n22243 33285\n42924 64324\n91667 100000\n46711 69999\n19500 29161\n53172 79711\n92097 100000\n70323 100000\n22490 33660\n82412 100000\n83689 100000\n39368 58978\n82723 100000\n9686 14446\n6325 9432\n95211 100000\n54987 82420\n58109 87101\n83062 100000\n89875 100000\n2885 4308\n91941 100000\n716 1069\n53773 80614\n41730 62527\n21060 31490\n59421 89066\n15985 23904\n29769 44525\n95423 100000\n93163 100000\n3479 5168\n33543 50174\n7829 11662\n52976 79435\n27363 40938\n41880 62755\n96605 100000\n53945 80871\n49222 73780\n54962 82383\n85772 100000\n52293 78381\n82621 100000\n61838 92752\n7028 10477\n51845 77716\n93334 100000\n6326 9434\n96710 100000\n4418 6572\n22088 33048\n87134 100000\n92133 100000\n44683 66934\n4043 6006\n30030 44917\n16098 24071\n89052 100000\n74286 100000\n9066 13517\n77544 100000\n1667 2483\n76967 100000\n31503 47139\n56910 85305\n37714 56491\n13452 20115\n68790 100000\n40893 61293\n5989 8920\n512 764\n220 329\n82826 100000\n59811 89672\n55741 83528\n88342 100000\n56987 85412\n34801 52062\n74049 100000\n89528 100000\n49712 74521\n16529 24708\n73700 100000\n42608 63838\n31858 47674\n93346 100000\n51069 76555\n91328 100000\n15098 22555\n25024 37459\n77327 100000\n18989 28390\n99559 100000\n42216 63258\n14969 22370\n79107 100000\n13104 19598\n10377 15489\n92309 100000\n51786 77625\n26752 40046\n16621 24836\n98692 100000\n71288 100000\n58714 88011\n70213 100000\n21278 31828\n47192 70737\n87775 100000\n84350 100000\n38141 57123\n88474 100000\n62525 93773\n9606 14331\n10184 15192\n45545 68231\n28306 42336\n39300 58867\n7704 11492\n6826 10170\n88192 100000\n76494 100000\n19470 29115\n82650 100000\n90373 100000\n37772 56575\n56188 84214\n11202 16720\n90381 100000\n38046 56983\n66263 99389\n76879 100000\n15662 23414\n89912 100000\n80074 100000\n40191 60206\n51487 77177\n64450 96650\n94200 100000\n32582 48734\n36657 54898\n41591 62323\n46202 69221\n63176 94754\n51667 77450\n47851 71723\n56999 85432\n66671 100000\n52648 78922\n69463 100000\n98983 100000\n8987 13403\n94682 100000\n54647 81906\n10918 16291\n82681 100000\n45622 68347\n41541 62256\n98154 100000\n29348 43878\n45760 68559\n89267 100000\n16192 24207\n54834 82192\n24595 36823\n70523 100000\n33176 49627\n67044 100000\n670 1002\n25586 38297\n77554 100000\n15122 22591\n34705 51923\n29332 43851\n38448 57597\n35500 53129\n27991 41860\n85316 100000\n17359 25945\n51853 77727\n72578 100000\n53767 80607\n65595 98392\n19982 29872\n66313 99467\n17104 25557\n34924 52248\n63060 94575\n88904 100000\n51955 77882\n96002 100000\n38063 57008\n57133 85627\n97678 100000\n84436 100000\n93275 100000\n64194 96263\n80473 100000\n74936 100000\n70274 100000\n8949 13347\n62089 93137\n68446 100000\n75173 100000\n60398 90567\n55158 82663\n30352 45392\n99351 100000\n14062 21014\n20882 31226\n92731 100000\n16025 23959\n58423 87575\n88324 100000\n60789 91165\n47838 71703\n71325 100000\n81277 100000\n44828 67138\n32695 48900\n82296 100000\n60076 90074\n64053 96058\n77828 100000\n79739 100000\n6889 10271\n52918 79345\n28372 42437\n77869 100000\n68827 100000\n626 936\n29712 44440\n3073 4580\n67009 100000\n95131 100000\n66450 99670\n40812 61171\n39783 59594\n50379 75522\n73086 100000\n59927 89842\n68466 100000\n19381 28985\n24639 36890\n78504 100000\n55906 83788\n82787 100000\n89479 100000\n45088 67538\n19389 28997\n1945 2910\n2722 4061\n49604 74363\n61661 92490\n69485 100000\n21507 32168\n81448 100000\n1008 1510\n66757 100000\n87994 100000\n37011 55426\n28718 42941\n77396 100000\n22853 34213\n4169 6203\n80658 100000\n1549 2311\n46142 69136\n56499 84687\n65678 98512\n416 618\n43624 65381\n36363 54452\n74281 100000\n45245 67784\n92340 100000\n14610 21825\n50696 75990\n40416 60546\n58465 87637\n15460 23106\n39587 59306\n95528 100000\n46721 70014\n68647 100000\n33381 49932\n5315 7912\n21803 32617\n96877 100000\n57702 86493\n92722 100000\n75656 100000\n41544 62261\n28077 41993\n75806 100000\n95413 100000\n45029 67443\n17413 26025\n5657 8420\n35578 53246\n71658 100000\n29565 44209\n52892 79303\n19585 29294\n47828 71688\n3049 4544\n44850 67174\n70110 100000\n92689 100000\n6658 9914\n14689 21945\n94719 100000\n59287 88870\n72269 100000\n36299 54355\n68276 100000\n75920 100000\n13588 20317\n99034 100000\n75058 100000\n98936 100000\n87452 100000\n51128 76642\n81678 100000\n24493 36669\n25332 37917\n91914 100000\n68369 100000\n51615 77370\n39878 59739\n57213 85745\n47791 71629\n30975 46346\n14042 20985\n55649 83395\n33731 50456\n81027 100000\n15 22\n72749 100000\n52736 79060\n97017 100000\n47993 71936\n64929 97366\n50648 75908\n30003 44879\n26862 40201\n58499 87690\n7245 10803\n40563 60780\n94893 100000\n98185 100000\n61274 91899\n52872 79272\n29387 43936\n95351 100000\n30027 44914\n35971 53845\n35147 52583\n36125 54089\n48880 73254\n44513 66682\n6284 9371\n98871 100000\n98648 100000\n6899 10286\n58074 87049\n64792 97159\n96875 100000\n69806 100000\n94700 100000\n74482 100000\n38525 57710\n30881 46210\n19695 29449\n79454 100000\n69881 100000\n5433 8097\n40379 60491\n34684 51891\n49877 74772\n24217 36250\n68828 100000\n34213 51181\n52562 78790\n3922 5822\n54650 81911\n86749 100000\n38651 57893\n46851 70213\n69403 100000\n15292 22848\n64013 96001\n80042 100000\n74939 100000\n35053 52444\n97775 100000\n66919 100000\n85035 100000\n58782 88114\n56811 85155\n98872 100000\n48438 72591\n50743 76062\n43654 65419\n33428 50001\n36635 54866\n9517 14195\n57713 86509\n67060 100000\n88438 100000\n18691 27947\n58913 88304\n9677 14434\n72936 100000\n11654 17421\n70717 100000\n43077 64554\n41130 61646\n74875 100000\n70660 100000\n32851 49133\n93009 100000\n17111 25565\n51376 77020\n92357 100000\n60753 91111\n50308 75412\n17699 26458\n45042 67461\n62952 94412\n27553 41215\n84027 100000\n13955 20855\n22684 33948\n84237 100000\n73389 100000\n8035 11958\n9736 14528\n65339 98003\n88182 100000\n12118 18136\n73899 100000\n31567 47238\n53367 80004\n65014 97492\n63301 94942\n35560 53221\n96977 100000\n94438 100000\n59898 89794\n18838 28165\n21445 32074\n43491 65181\n19442 29072\n64293 96411\n8825 13157\n85571 100000\n64685 97000\n45890 68751\n65155 97712\n65598 98398\n54061 81038\n10647 15882\n84611 100000\n90450 100000\n72478 100000\n45269 67819\n30623 45809\n26004 38921\n2992 4464\n13884 20752\n52873 79273\n92376 100000\n12495 18683\n57340 85935\n69313 100000\n83946 100000\n14973 22376\n50176 75214\n28527 42657\n40241 60285\n96667 100000\n18233 27253\n81861 100000\n84510 100000\n30115 45045\n21639 32370\n33734 50461\n92092 100000\n23037 34489\n25915 38785\n23685 35451\n63517 95252\n14198 21210\n98300 100000\n22777 34094\n59276 88852\n85361 100000\n18932 28303\n86586 100000\n37762 56560\n59610 89361\n10778 16079\n97765 100000\n19506 29170\n68555 100000\n38674 57926\n25807 38629\n60395 90562\n33177 49628\n63849 95753\n61235 91834\n43413 65065\n34503 51626\n91848 100000\n31814 47609\n79240 100000\n6048 9012\n37360 55955\n17628 26345\n68784 100000\n72426 100000\n24897 37267\n27197 40699\n69264 100000\n41315 61910\n87550 100000\n27076 40516\n75110 100000\n77284 100000\n71636 100000\n27307 40856\n38594 57811\n69920 100000\n79465 100000\n6449 9611\n43844 65709\n12510 18704\n80569 100000\n78228 100000\n34504 51628\n31828 47630\n41816 62656\n78105 100000\n63003 94488\n25922 38797\n75711 100000\n27956 41808\n1360 2033\n64455 96658\n72198 100000\n64235 96322\n69198 100000\n77145 100000\n40209 60234\n36675 54928\n70576 100000\n10737 16016\n89158 100000\n90026 100000\n6037 8997\n80894 100000\n16383 24485\n40710 61008\n48830 73178\n93506 100000\n56789 85122\n85395 100000\n43580 65314\n27715 41454\n97454 100000\n13584 20313\n68248 100000\n82691 100000\n23457 35109\n33794 50551\n95539 100000\n67868 100000\n11117 16587\n39084 58538\n9453 14102\n58751 88066\n24507 36690\n60842 91242\n12125 18143\n97974 100000\n40112 60089\n21904 32775\n53113 79628\n43798 65638\n49846 74726\n88428 100000\n35861 53678\n50765 76096\n90795 100000\n21197 31701\n53014 79494\n55199 82729\n38393 57509\n12869 19244\n9222 13748\n26346 39441\n26657 39908\n28570 42717\n19702 29458\n12598 18837\n5885 8767\n11132 16608\n48167 72198\n85139 100000\n56376 84496\n96998 100000\n76905 100000\n82061 100000\n27915 41747\n38761 58060\n62394 93580\n61426 92134\n90391 100000\n74135 100000\n12519 18717\n15571 23276\n55497 83176\n44859 67187\n80802 100000\n4726 7024\n72546 100000\n87390 100000\n13127 19632\n67955 100000\n73092 100000\n18084 27032\n42434 63589\n46853 70216\n37252 55789\n52795 79155\n73753 100000\n71422 100000\n58463 87634\n35290 52797\n83352 100000\n31342 46895\n91735 100000\n39910 59784\n96767 100000\n200 297\n397 586\n42511 63700\n82974 100000\n42676 63945\n256 378\n85335 100000\n51605 77355\n83179 100000\n769 1149\n15884 23749\n57396 86018\n60701 91033\n28775 43025\n26639 39880\n61208 91789\n49497 74199\n18810 28122\n77028 100000\n71597 100000\n39759 59557\n26495 39660\n66625 99934\n34193 51147\n70010 100000\n30701 45925\n63023 94520\n13251 19812\n93518 100000\n68439 100000\n29316 43827\n96676 100000\n95 139\n20674 30918\n2624 3927\n12966 19389\n78753 100000\n61515 92262\n91636 100000\n24548 36756\n6886 10265\n75332 100000\n91240 100000\n18264 27300\n61566 92339\n55665 83416\n29084 43484\n5793 8625\n88746 100000\n36972 55368\n7190 10721\n60879 91295\n87068 100000\n72542 100000\n78231 100000\n26852 40188\n70035 100000\n87712 100000\n70326 100000\n60693 91021\n95779 100000\n41216 61775\n61162 91720\n24126 36104\n84181 100000\n93277 100000\n93550 100000\n54517 81724\n82058 100000\n97729 100000\n3722 5537\n39748 59541\n28451 42555\n82133 100000\n48068 72049\n29234 43707\n80209 100000\n10686 15939\n56695 84979\n45723 68501\n68425 100000\n8502 12665\n52782 79136\n56272 84337\n71766 100000\n23801 35617\n75582 100000\n31328 46872\n63791 95666\n22275 33333\n97496 100000\n68002 100000\n15479 23134\n72148 100000\n65591 98385\n14453 21589\n60895 91320\n71439 100000\n50386 75534\n21736 32514\n33429 50002\n89085 100000\n15687 23449\n25679 38434\n30511 45632\n849 1273\n4931 7335\n61065 91576\n46490 69667\n84279 100000\n37830 56652\n69513 100000\n2475 3703\n65857 98777\n6118 9118\n68723 100000\n88765 100000\n95713 100000\n13113 19609\n51057 76539\n65341 98006\n43641 65404\n41333 61936\n46630 69876\n80671 100000\n71916 100000\n50104 75111\n44829 67140\n39413 59049\n62534 93786\n86941 100000\n96284 100000\n44712 66974\n66774 100000\n127 184\n68873 100000\n89376 100000\n55267 82831\n67607 100000\n42441 63599\n81037 100000\n33069 49468\n24660 36919\n49535 74256\n91732 100000\n67772 100000\n52696 78996\n27153 40636\n57830 86678\n82176 100000\n91109 100000\n35361 52906\n47555 71278\n55019 82465\n20546 30717\n21198 31703\n41875 62747\n47419 71071\n17139 25605\n98332 100000\n31591 47271\n95432 100000\n95972 100000\n25179 37684\n23331 34926\n99385 100000\n92075 100000\n18825 28145\n15421 23042\n91508 100000\n39323 58905\n37284 55839\n46489 69665\n33140 49578\n13290 19870\n92914 100000\n53053 79543\n35917 53765\n49940 74868\n97595 100000\n54937 82344\n38745 58039\n17049 25474\n9871 14733\n82698 100000\n9816 14650\n72439 100000\n95120 100000\n98952 100000\n26156 39156\n10476 15641\n56835 85192\n58878 88257\n75662 100000\n63786 95658\n51569 77304\n56908 85301\n68696 100000\n84898 100000\n95034 100000\n38507 57683\n51842 77710\n86957 100000\n91371 100000\n85828 100000\n67569 100000\n77762 100000\n25293 37856\n25971 38873\n4828 7177\n58649 87915\n37166 55664\n36832 55167\n98345 100000\n36483 54628\n66154 99227\n50597 75835\n24430 36574\n93823 100000\n756 1131\n63057 94571\n76167 100000\n51518 77223\n79767 100000\n51042 76515\n81844 100000\n23034 34486\n91727 100000\n10330 15416\n43932 65840\n87210 100000\n87092 100000\n91350 100000\n33549 50181\n25978 38885\n71584 100000\n74409 100000\n87858 100000\n59419 89064\n98947 100000\n35907 53750\n3677 5466\n39051 58487\n90092 100000\n31092 46512\n45556 68246\n16354 24443\n91782 100000\n68105 100000\n49069 73546\n19592 29303\n6223 9282\n23665 35420\n51827 77686\n76001 100000\n31252 46754\n17908 26775\n12399 18544\n15336 22913\n61593 92382\n2236 3343\n51458 77133\n49831 74704\n81428 100000\n94086 100000\n2802 4179\n20907 31263\n1340 2005\n68513 100000\n82736 100000\n22387 33511\n73743 100000\n96280 100000\n77149 100000\n29867 44670\n8472 12617\n10436 15586\n18380 27477\n75065 100000\n68831 100000\n31410 46996\n94367 100000\n52653 78932\n89960 100000\n47516 71218\n71464 100000\n57173 85684\n86329 100000\n8065 11999\n25988 38899\n55659 83409\n62067 93102\n44536 66715\n30533 45665\n40067 60019\n62042 93066\n12927 19331\n93698 100000\n39068 58512\n32357 48416\n30989 46366\n45448 68086\n28302 42331\n11731 17540\n36495 54644\n83231 100000\n5519 8223\n27114 40580\n50546 75768\n48066 72046\n76344 100000\n70380 100000\n47844 71713\n50570 75798\n31581 47257\n65103 97629\n48703 72982\n2025 3032\n53771 80611\n37953 56838\n31284 46803\n90914 100000\n65660 98484\n67707 100000\n83690 100000\n5141 7654\n27376 40958\n53485 80175\n48938 73345\n71230 100000\n3842 5708\n10276 15328\n86513 100000\n28709 42928\n37850 56685\n28735 42968\n84570 100000\n53166 79703\n10405 15536\n11031 16462\n91858 100000\n3495 5194\n28476 42586\n8282 12323\n5448 8119\n77225 100000\n37164 55661\n56561 84782\n53237 79813\n40631 60882\n63550 95302\n74262 100000\n19268 28816\n8990 13407\n66071 99103\n22753 34052\n19634 29364\n40154 60150\n38248 57281\n64129 96166\n24266 36319\n11113 16582\n71558 100000\n65100 97625\n93955 100000\n86380 100000\n7204 10741\n55721 83499\n79011 100000\n68328 100000\n90537 100000\n24022 35951\n80662 100000\n59808 89667\n43389 65024\n89526 100000\n44822 67129\n12817 19172\n70173 100000\n77306 100000\n66478 99714\n78707 100000\n2806 4186\n97930 100000\n73355 100000\n49567 74308\n54597 81838\n25339 37928\n82268 100000\n49574 74317\n41332 61935\n95158 100000\n51151 76677\n15760 23561\n43178 64692\n57564 86272\n47753 71570\n53980 80920\n1838 2747\n53848 80725\n97328 100000\n67230 100000\n58377 87505\n51016 76475\n95982 100000\n62601 93885\n17529 26199\n68316 100000\n39330 58917\n19517 29188\n2241 3352\n66880 100000\n87087 100000\n81222 100000\n66436 99650\n74889 100000\n13116 19612\n85001 100000\n35587 53262\n6276 9362\n82044 100000\n74953 100000\n54709 82003\n70289 100000\n99297 100000\n13966 20872\n61523 92276\n48219 72270\n94425 100000\n42840 64188\n9650 14395\n71637 100000\n51219 76780\n94365 100000\n408 605\n46983 70415\n40610 60850\n8483 12635\n53411 80066\n2881 4301\n38617 57844\n41995 62935\n66123 99182\n97226 100000\n22918 34315\n78772 100000\n97727 100000\n57063 85530\n42590 63814\n64085 96105\n58228 87279\n62019 93028\n1102 1650\n42192 63223\n51779 77614\n66467 99699\n22809 34143\n12744 19059\n50220 75277\n69801 100000\n12370 18499\n48408 72550\n79943 100000\n20712 30976\n22324 33409\n36512 54671\n66850 100000\n13073 19552\n37959 56847\n18405 27511\n19151 28636\n80646 100000\n79460 100000\n26773 40077\n62294 93438\n23524 35211\n61022 91509\n43619 65373\n76525 100000\n17459 26097\n16847 25169\n37396 56013\n79863 100000\n68768 100000\n84229 100000\n94671 100000\n7463 11127\n62705 94041\n8567 12770\n58 86\n78037 100000\n35781 53552\n17073 25508\n5610 8352\n86716 100000\n11563 17277\n66366 99546\n21464 32104\n291 427\n98613 100000\n2282 3413\n74241 100000\n29389 43939\n69744 100000\n50464 75642\n39237 58774\n25455 38102\n82081 100000\n15928 23820\n66356 99531\n44736 67009\n14792 22097\n4189 6231\n69870 100000\n68057 100000\n49595 74349\n76530 100000\n94485 100000\n78694 100000\n29117 43529\n11256 16805\n83570 100000\n83599 100000\n65123 97659\n34885 52185\n58501 87693\n59091 88570\n48877 73249\n93838 100000\n10721 15993\n70943 100000\n86882 100000\n98255 100000\n71692 100000\n2909 4342\n49351 73976\n70764 100000\n24891 37259\n24161 36157\n65396 98090\n21241 31770\n44348 66446\n34714 51934\n3019 4503\n19429 29054\n72415 100000\n35855 53669\n33427 49999\n62446 93656\n30348 45385\n52621 78880\n22750 34048\n3490 5184\n92673 100000\n91613 100000\n60931 91374\n31672 47388\n19269 28817\n6712 9994\n2500 3744\n90802 100000\n88895 100000\n13639 20389\n77644 100000\n86192 100000\n90336 100000\n88145 100000\n92848 100000\n21371 31961\n53732 80553\n15900 23772\n95393 100000\n79508 100000\n21598 32305\n59319 88912\n97480 100000\n86840 100000\n17006 25409\n43070 64544\n63631 95415\n93238 100000\n19939 29812\n65069 97573\n72154 100000\n21484 32134\n69390 100000\n2690 4016\n36619 54841\n90929 100000\n56021 83960\n38857 58201\n73678 100000\n86310 100000\n76041 100000\n47333 70942\n31798 47582\n57059 85525\n61550 92317\n4690 6969\n66698 100000\n76792 100000\n55798 83617\n51671 77456\n93282 100000\n3391 5041\n67634 100000\n45862 68708\n98848 100000\n71968 100000\n2361 3533\n89622 100000\n70871 100000\n36893 55251\n74575 100000\n89133 100000\n29039 43417\n74842 100000\n2212 3310\n8254 12284\n76467 100000\n59367 88988\n98844 100000\n63133 94688\n50833 76199\n54465 81643\n41850 62712\n52953 79398\n8641 12874\n24502 36683\n10656 15895\n71312 100000\n65807 98705\n8893 13260\n47482 71166\n71032 100000\n831 1243\n56444 84597\n92674 100000\n36717 54989\n45480 68136\n80954 100000\n38380 57489\n53056 79547\n49767 74605\n7759 11565\n91861 100000\n80604 100000\n26284 39346\n17123 25583\n34651 51838\n75041 100000\n74829 100000\n56075 84035\n94119 100000\n56943 85351\n28594 42751\n77245 100000\n12910 19307\n1595 2376\n55491 83168\n31790 47570\n57390 86010\n17635 26355\n41961 62881\n49943 74871\n1985 2975\n45740 68527\n58934 88336\n49394 74042\n3197 4764\n82186 100000\n19839 29668\n90621 100000\n50089 75090\n85678 100000\n94732 100000\n50754 76077\n25264 37816\n14783 22084\n77016 100000\n57321 85905\n67337 100000\n74696 100000\n17728 26502\n62126 93188\n10746 16031\n77779 100000\n37260 55802\n19540 29222\n960 1436\n69259 100000\n55817 83649\n68574 100000\n66110 99163\n82649 100000\n49030 73481\n5501 8197\n9734 14525\n48319 72415\n9746 14542\n14934 22318\n58299 87391\n96272 100000\n40595 60830\n30384 45445\n61130 91671\n43773 65599\n26839 40170\n2242 3353\n14888 22249\n41311 61904\n75017 100000\n30307 45329\n26158 39160\n44123 66122\n27320 40877\n16400 24511\n21634 32361\n76791 100000\n11377 16983\n79028 100000\n16561 24750\n71116 100000\n3089 4604\n31959 47825\n21694 32451\n32807 49069\n39185 58694\n61139 91686\n81075 100000\n52828 79206\n88300 100000\n76427 100000\n72932 100000\n37919 56793\n93770 100000\n53818 80681\n7238 10792\n90921 100000\n15510 23179\n92266 100000\n13586 20315\n49680 74478\n45931 68808\n85715 100000\n5693 8469\n58901 88288\n65318 97970\n90140 100000\n6707 9985\n14895 22260\n48133 72149\n82570 100000\n8441 12564\n45855 68698\n79910 100000\n50805 76158\n78963 100000\n39670 59423\n94046 100000\n43757 65577\n36697 54961\n8063 11996\n98155 100000\n89132 100000\n58732 88038\n21329 31901\n12008 17966\n54043 81010\n89024 100000\n18642 27866\n27504 41145\n78667 100000\n4994 7430\n55600 83323\n48801 73137\n29760 44510\n88298 100000\n69734 100000\n96439 100000\n74014 100000\n63946 95904\n47563 71290\n16969 25358\n54044 81011\n14859 22204\n47506 71202\n90569 100000\n20612 30821\n29883 44696\n92853 100000\n14300 21363\n30612 45792\n13430 20083\n43692 65481\n198 294\n67464 100000\n17421 26039\n65786 98675\n92639 100000\n58678 87960\n96085 100000\n34946 52280\n74020 100000\n37631 56367\n98352 100000\n49425 74090\n47529 71240\n17091 25537\n56108 84091\n41558 62278\n33627 50299\n93966 100000\n79191 100000\n67429 100000\n73966 100000\n40862 61246\n91180 100000\n25205 37728\n34771 52016\n43920 65825\n38808 58127\n96932 100000\n2165 3241\n76219 100000\n61375 92059\n54857 82226\n80426 100000\n69847 100000\n91510 100000\n88643 100000\n92308 100000\n87194 100000\n87504 100000\n38398 57518\n57899 86786\n24741 37038\n31042 46439\n24202 36223\n13681 20446\n31188 46653\n83592 100000\n32648 48828\n31848 47657\n89578 100000\n56265 84327\n60405 90576\n55004 82444\n13413 20056\n48655 72915\n78070 100000\n68260 100000\n2546 3817\n40357 60460\n45444 68080\n739 1103\n82584 100000\n6913 10307\n28169 42131\n50098 75103\n26357 39460\n48199 72241\n85132 100000\n53158 79692\n28705 42922\n25700 38468\n6849 10205\n2675 3999\n23131 34622\n70278 100000\n54256 81333\n99460 100000\n99156 100000\n46846 70205\n93924 100000\n62413 93610\n67952 100000\n85387 100000\n85639 100000\n57130 85623\n97846 100000\n28668 42864\n36741 55025\n37599 56318\n14489 21644\n84384 100000\n18812 28125\n42856 64214\n57801 86635\n63113 94663\n77629 100000\n8457 12591\n77715 100000\n35243 52730\n77098 100000\n96259 100000\n44253 66308\n80291 100000\n77700 100000\n17729 26503\n71292 100000\n52413 78565\n15509 23177\n93255 100000\n59128 88624\n85420 100000\n87439 100000\n44857 67184\n29433 44006\n71146 100000\n80910 100000\n23368 34979\n13847 20697\n94225 100000\n69764 100000\n61863 92794\n39377 58993\n22100 33065\n39631 59368\n77770 100000\n83814 100000\n53027 79514\n13991 20911\n42433 63587\n15200 22708\n3579 5318\n13260 19823\n25124 37606\n24498 36678\n51195 76746\n31566 47236\n25161 37657\n39889 59754\n42721 64011\n91634 100000\n77295 100000\n39943 59831\n35874 53697\n46787 70113\n13060 19532\n95637 100000\n69561 100000\n23254 34809\n58660 87935\n88463 100000\n74329 100000\n1672 2492\n67860 100000\n90773 100000\n30472 45575\n83124 100000\n32713 48924\n72589 100000\n34077 50975\n53407 80061\n51653 77426\n92926 100000\n51046 76522\n29133 43555\n79665 100000\n28232 42227\n37659 56409\n18032 26953\n77820 100000\n23366 34977\n23377 34989\n78762 100000\n15853 23700\n88899 100000\n26797 40112\n91694 100000\n20571 30758\n80663 100000\n98180 100000\n38273 57320\n22180 33187\n40602 60839\n85078 100000\n52612 78865\n90861 100000\n44525 66698\n15714 23490\n9554 14256\n65916 98862\n26907 40270\n20369 30452\n89749 100000\n7903 11770\n9040 13484\n2793 4164\n84974 100000\n6201 9249\n21268 31811\n31942 47801\n99043 100000\n91649 100000\n35100 52510\n91482 100000\n7456 11118\n25221 37754\n5971 8892\n82090 100000\n59986 89930\n49983 74934\n56038 83982\n49078 73560\n92655 100000\n11790 17631\n15658 23407\n19735 29511\n57217 85752\n61438 92150\n31208 46685\n90481 100000\n82634 100000\n74199 100000\n8870 13225\n89650 100000\n22992 34424\n9569 14279\n59792 89640\n8836 13172\n47494 71185\n80732 100000\n68185 100000\n81511 100000\n87749 100000\n91689 100000\n44423 66550\n57963 86882\n83575 100000\n24077 36033\n190 279\n74045 100000\n42279 63354\n39236 58773\n9836 14684\n85307 100000\n63230 94833\n14045 20989\n42462 63630\n12242 18316\n79382 100000\n93190 100000\n32688 48890\n52740 79066\n65889 98821\n77931 100000\n71707 100000\n46220 69249\n8551 12745\n56937 85344\n74711 100000\n21269 31813\n52047 78014\n62571 93840\n57863 86729\n56060 84014\n82018 100000\n75941 100000\n33721 50442\n72403 100000\n85446 100000\n37597 56316\n31227 46712\n83214 100000\n54030 80992\n92416 100000\n98390 100000\n1935 2894\n4178 6215\n64635 96923\n55137 82634\n53986 80928\n66940 100000\n20634 30856\n78189 100000\n91969 100000\n4105 6096\n37808 56621\n65888 98820\n45892 68753\n65556 98335\n89380 100000\n72743 100000\n38659 57905\n70899 100000\n85356 100000\n37983 56884\n71967 100000\n2321 3476\n853 1278\n61402 92098\n39952 59846\n2748 4097\n72896 100000\n93476 100000\n97962 100000\n14630 21858\n16422 24540\n58694 87983\n89899 100000\n75765 100000\n50689 75978\n48542 72749\n34331 51365\n95547 100000\n57928 86832\n39421 59060\n40022 59953\n68204 100000\n32941 49273\n76086 100000\n88617 100000\n9705 14479\n67424 100000\n46010 68934\n17119 25577\n37447 56088\n91867 100000\n76100 100000\n91049 100000\n32747 48978\n82605 100000\n55695 83460\n27730 41478\n265 392\n49024 73472\n39753 59547\n29064 43458\n56445 84599\n4768 7086\n16594 24798\n53293 79895\n50488 75678\n30347 45383\n72637 100000\n80979 100000\n85758 100000\n67362 100000\n61917 92876\n57942 86853\n73841 100000\n65803 98699\n37345 55934\n1461 2186\n86488 100000\n58437 87596\n46371 69479\n14312 21382\n61353 92025\n92173 100000\n4836 7191\n19889 29738\n54531 81746\n55412 83050\n11837 17704\n82297 100000\n15103 22563\n69772 100000\n62071 93109\n91314 100000\n11644 17407\n80559 100000\n66717 100000\n36259 54295\n79565 100000\n62241 93363\n95453 100000\n24039 35976\n31126 46563\n36074 54006\n54195 81243\n67310 100000\n60384 90547\n86095 100000\n77267 100000\n59850 89727\n39341 58933\n39463 59124\n28533 42666\n65952 98922\n16178 24185\n17681 26430\n82015 100000\n1197 1789\n17797 26606\n12019 17983\n88362 100000\n89481 100000\n37156 55645\n68032 100000\n72943 100000\n71930 100000\n72952 100000\n28544 42680\n19821 29640\n82963 100000\n30350 45388\n8964 13370\n3005 4482\n28698 42910\n8050 11979\n85063 100000\n59295 88883\n33273 49769\n74125 100000\n24974 37378\n9737 14529\n6932 10334\n62680 94004\n13831 20673\n89036 100000\n38237 57265\n50474 75658\n25417 38043\n3065 4568\n90319 100000\n25073 37532\n94055 100000\n6473 9647\n77747 100000\n9672 14426\n56404 84539\n81065 100000\n39075 58524\n61486 92221\n3145 4683\n86242 100000\n77613 100000\n6263 9340\n27354 40924\n72813 100000\n10147 15139\n14906 22276\n49642 74419\n55035 82489\n75343 100000\n66675 100000\n60136 90167\n73487 100000\n65192 97768\n59047 88507\n59120 88613\n86165 100000\n46830 70180\n19342 28927\n30306 45327\n62315 93469\n30187 45153\n32633 48808\n43213 64745\n64171 96229\n44458 66601\n94870 100000\n57957 86874\n15231 22757\n84072 100000\n83480 100000\n65417 98126\n90974 100000\n97190 100000\n4238 6303\n71884 100000\n41248 61818\n37963 56852\n10272 15323\n39978 59888\n85197 100000\n19333 28912\n21249 31783\n30969 46337\n54573 81803\n19101 28563\n78552 100000\n90355 100000\n13142 19657\n25343 37933\n39847 59693\n46798 70129\n40833 61204\n26878 40226\n9225 13752\n71419 100000\n6567 9785\n41096 61594\n10783 16088\n31122 46557\n998 1495\n4006 5951\n20767 31060\n83676 100000\n64920 97352\n71640 100000\n52838 79221\n52842 79227\n17225 25734\n78412 100000\n970 1450\n87578 100000\n32130 48078\n19685 29436\n44031 65982\n96341 100000\n53657 80438\n22857 34218\n35561 53223\n18650 27878\n94742 100000\n9685 14444\n78357 100000\n65970 98950\n94784 100000\n65707 98556\n45882 68740\n20718 30986\n90915 100000\n53942 80865\n57907 86799\n1891 2833\n42149 63161\n68946 100000\n37663 56415\n45400 68014\n22626 33866\n60450 90646\n93358 100000\n4744 7051\n41592 62325\n59796 89648\n34222 51194\n33001 49361\n66724 100000\n26505 39676\n19952 29830\n97584 100000\n75572 100000\n43991 65924\n83105 100000\n48051 72025\n89433 100000\n62544 93799\n52552 78773\n75665 100000\n31062 46472\n86045 100000\n1170 1746\n1160 1732\n68660 100000\n28785 43041\n84544 100000\n9552 14252\n97367 100000\n42494 63675\n40968 61404\n19869 29713\n63820 95707\n95617 100000\n64190 96258\n47514 71216\n17874 26733\n88331 100000\n2626 3931\n26888 40241\n50221 75279\n26724 40005\n91375 100000\n72012 100000\n38702 57971\n58935 88338\n51063 76547\n5715 8505\n46516 69702\n86344 100000\n38975 58371\n6188 9231\n99127 100000\n97371 100000\n35636 53331\n67053 100000\n61738 92611\n47650 71411\n8450 12579\n66735 100000\n62108 93164\n29318 43830\n84243 100000\n37387 56001\n9850 14704\n50267 75350\n51291 76890\n48184 72224\n18829 28149\n74430 100000\n52863 79259\n69135 100000\n15601 23320\n81063 100000\n15488 23146\n19778 29578\n30766 46027\n86533 100000\n78489 100000\n57997 86932\n71252 100000\n43873 65751\n33822 50593\n49156 73678\n54158 81187\n58786 88121\n11642 17403\n43237 64783\n74596 100000\n63339 94996\n15501 23165\n64045 96047\n5998 8935\n23656 35407\n27446 41059\n44213 66255\n52152 78170\n44332 66422\n10887 16248\n57648 86406\n97663 100000\n74467 100000\n25166 37665\n79883 100000\n14882 22243\n77199 100000\n7552 11260\n70275 100000\n31471 47093\n57806 86642\n56762 85080\n76308 100000\n64707 97029\n12097 18102\n29968 44825\n10421 15563\n62504 93743\n66363 99542\n79799 100000\n54467 81645\n37196 55707\n74993 100000\n44113 66107\n34367 51424\n57989 86917\n56540 84751\n69912 100000\n94077 100000\n17164 25644\n17237 25751\n50968 76405\n65056 97553\n16849 25172\n83948 100000\n50152 75180\n1135 1698\n68385 100000\n90028 100000\n74945 100000\n2630 3938\n12600 18839\n83158 100000\n5218 7772\n93421 100000\n97879 100000\n86320 100000\n53563 80294\n43836 65696\n86697 100000\n483 721\n60607 90885\n54257 81335\n53674 80464\n92486 100000\n88115 100000\n22558 33762\n66887 100000\n81997 100000\n17583 26279\n90047 100000\n93985 100000\n99273 100000\n18207 27213\n80009 100000\n5232 7790\n49678 74474\n66986 100000\n62384 93565\n36270 54311\n23952 35845\n77270 100000\n84574 100000\n61483 92217\n25262 37813\n18946 28325\n323 476\n20789 31091\n36940 55317\n3275 4880\n90242 100000\n4793 7125\n57190 85710\n236 349\n78577 100000\n24198 36219\n18937 28311\n6468 9639\n80093 100000\n89654 100000\n68825 100000\n54695 81979\n89503 100000\n20171 30144\n17499 26155\n11808 17657\n24158 36153\n52794 79153\n25558 38250\n12652 18919\n21565 32259\n48567 72787\n92925 100000\n44655 66887\n59626 89387\n86202 100000\n77406 100000\n54902 82288\n47261 70836\n74117 100000\n24358 36464\n39472 59139\n48467 72638\n81636 100000\n82808 100000\n89832 100000\n46946 70357\n93808 100000\n50132 75148\n52273 78355\n81816 100000\n76532 100000\n88482 100000\n10970 16370\n88836 100000\n41706 62492\n42730 64024\n98553 100000\n40980 61422\n50654 75918\n23278 34848\n55262 82823\n2964 4422\n42509 63696\n93378 100000\n13763 20576\n12356 18479\n6664 9921\n49614 74379\n61264 91883\n42954 64370\n11787 17626\n93160 100000\n9459 14110\n83714 100000\n20972 31359\n14492 21649\n1492 2227\n68363 100000\n20938 31308\n84785 100000\n51349 76977\n34906 52221\n82431 100000\n14949 22341\n78148 100000\n24237 36278\n86919 100000\n34990 52351\n50234 75297\n67771 100000\n37644 56387\n55163 82672\n44939 67312\n28023 41908\n81346 100000\n45190 67695\n18624 27836\n3326 4946\n60557 90812\n12546 18758\n80927 100000\n11259 16809\n98857 100000\n8184 12180\n88893 100000\n38367 57469\n81147 100000\n67950 100000\n84 125\n90777 100000\n86173 100000\n73155 100000\n30792 46067\n7139 10646\n106 155\n49484 74179\n2081 3121\n39874 59733\n61614 92418\n15404 23016\n86963 100000\n33383 49935\n19842 29671\n28875 43176\n83547 100000\n82244 100000\n83130 100000\n36603 54816\n35021 52397\n81594 100000\n7811 11635\n79012 100000\n1229 1838\n21875 32732\n11093 16553\n87425 100000\n61164 91724\n93142 100000\n2318 3470\n13250 19810\n71294 100000\n14078 21037\n38471 57630\n17650 26379\n54156 81183\n90545 100000\n16588 24788\n50536 75753\n79286 100000\n76492 100000\n78345 100000\n69021 100000\n54241 81310\n12057 18045\n70399 100000\n74075 100000\n47613 71363\n7693 11473\n87130 100000\n31214 46692\n24309 36384\n9582 14298\n10106 15086\n50049 75033\n74054 100000\n57399 86023\n99709 100000\n90471 100000\n16584 24783\n72414 100000\n1272 1904\n68250 100000\n15549 23244\n11682 17463\n79742 100000\n60886 91307\n58558 87775\n35480 53095\n37079 55531\n79652 100000\n64399 96574\n30125 45061\n22871 34239\n80325 100000\n96722 100000\n96434 100000\n56820 85167\n9756 14557\n74817 100000\n27923 41759\n33589 50242\n50119 75129\n80920 100000\n31586 47263\n62625 93923\n7822 11651\n94144 100000\n88939 100000\n33807 50569\n71987 100000\n17204 25703\n50261 75342\n58969 88391\n28591 42745\n83073 100000\n54248 81320\n43145 64650\n69207 100000\n59749 89569\n51893 77784\n21418 32031\n37192 55699\n38011 56927\n69737 100000\n91159 100000\n60963 91424\n44737 67010\n55522 83216\n8444 12569\n96468 100000\n66151 99222\n85136 100000\n86898 100000\n78961 100000\n76243 100000\n68856 100000\n16857 25185\n8506 12671\n20043 29957\n92263 100000\n15609 23332\n96937 100000\n37444 56083\n39248 58790\n53581 80323\n7798 11616\n2944 4396\n42893 64271\n76844 100000\n74176 100000\n8130 12097\n58197 87233\n35086 52492\n7510 11200\n91881 100000\n95187 100000\n63732 95569\n23308 34896\n75309 100000\n63441 95143\n44459 66602\n1573 2347\n63588 95356\n94509 100000\n50761 76090\n61237 91838\n11321 16901\n66291 99433\n26020 38943\n4665 6937\n42979 64407\n15016 22436\n36195 54198\n20538 30705\n38201 57210\n69430 100000\n18872 28218\n29470 44059\n87478 100000\n23537 35229\n78485 100000\n3545 5269\n74960 100000\n37338 55926\n91576 100000\n91271 100000\n3792 5635\n30004 44880\n17516 26179\n28958 43291\n96499 100000\n4528 6734\n37657 56406\n37608 56332\n66868 100000\n38147 57134\n22290 33357\n28749 42989\n78095 100000\n76264 100000\n93363 100000\n92905 100000\n77056 100000\n50591 75827\n92714 100000\n53914 80821\n12536 18743\n47938 71857\n33700 50407\n99545 100000\n79345 100000\n22967 34388\n58498 87689\n53893 80793\n36164 54148\n49848 74728\n61042 91539\n62406 93597\n34514 51643\n75533 100000\n68048 100000\n13355 19968\n49371 74006\n16741 25013\n32208 48198\n62819 94214\n32026 47924\n83774 100000\n16477 24627\n13291 19871\n71900 100000\n86706 100000\n33322 49839\n97609 100000\n74929 100000\n92256 100000\n7137 10644\n48748 73049\n45379 67985\n37782 56588\n45203 67718\n38468 57626\n25692 38454\n33553 50187\n28887 43191\n82873 100000\n19925 29791\n46951 70367\n60434 90623\n32993 49347\n16368 24463\n30335 45367\n66756 100000\n43903 65799\n24096 36060\n55252 82810\n61941 92914\n18056 26990\n94988 100000\n94059 100000\n35250 52738\n73876 100000\n17172 25656\n34944 52276\n54805 82149\n41718 62510\n22645 33891\n38065 57011\n92708 100000\n66694 100000\n26315 39393\n34564 51711\n22613 33845\n39539 59242\n42058 63026\n592 886\n45623 68348\n48648 72905\n25547 38232\n42247 63309\n81064 100000\n16029 23965\n71940 100000\n15765 23569\n74718 100000\n56764 85082\n98482 100000\n21161 31646\n76212 100000\n59998 89951\n70019 100000\n60272 90375\n52836 79218\n38233 57258\n85549 100000\n7438 11093\n72026 100000\n13053 19520\n89629 100000\n86006 100000\n82951 100000\n53441 80111\n92681 100000\n93121 100000\n17222 25729\n77300 100000\n97760 100000\n99925 100000\n7817 11642\n47691 71476\n41784 62608\n35725 53465\n15675 23433\n97446 100000\n38050 56990\n35303 52814\n3487 5179\n72544 100000\n46575 69788\n40113 60090\n40764 61092\n64172 96231\n82608 100000\n39914 59789\n19000 28407\n79903 100000\n14552 21738\n93454 100000\n90352 100000\n43847 65713\n24195 36215\n15290 22844\n72740 100000\n36307 54365\n35598 53275\n88265 100000\n25007 37431\n91524 100000\n23526 35214\n46047 68991\n32567 48712\n37104 55567\n90010 100000\n81573 100000\n22467 33626\n75245 100000\n48175 72210\n70221 100000\n51552 77280\n63772 95634\n47320 70926\n80908 100000\n79358 100000\n54157 81185\n12311 18418\n48299 72387\n32816 49081\n6514 9709\n46062 69016\n92251 100000\n68473 100000\n89097 100000\n81128 100000\n25355 37951\n3775 5612\n37337 55925\n74981 100000\n63766 95624\n93542 100000\n83634 100000\n67458 100000\n82169 100000\n13510 20202\n86163 100000\n20817 31129\n78887 100000\n18920 28287\n97713 100000\n49036 73491\n11014 16437\n35168 52614\n57439 86087\n14147 21138\n44723 66990\n82063 100000\n30225 45209\n61418 92121\n42741 64042\n60722 91065\n8951 13349\n19260 28803\n88359 100000\n55812 83642\n84646 100000\n12263 18350\n24870 37227\n12119 18137\n49340 73958\n73525 100000\n78909 100000\n70996 100000\n9208 13726\n67932 100000\n77296 100000\n33024 49398\n58114 87108\n61805 92705\n93060 100000\n1681 2506\n64808 97185\n17261 25789\n99927 100000\n262 386\n76121 100000\n76567 100000\n10378 15491\n83092 100000\n73907 100000\n95166 100000\n53570 80305\n70291 100000\n92051 100000\n20026 29933\n47712 71506\n28028 41916\n64916 97346\n99087 100000\n60482 90697\n90721 100000\n46685 69959\n43172 64686\n28060 41963\n71802 100000\n82696 100000\n53370 80009\n13035 19492\n24220 36254\n58246 87308\n68088 100000\n34448 51544\n955 1429\n44668 66909\n7713 11506\n91753 100000\n78226 100000\n74203 100000\n92757 100000\n70332 100000\n37765 56564\n38049 56988\n45697 68461\n40321 60405\n56293 84370\n16905 25259\n34007 50872\n34037 50917\n27336 40900\n29641 44329\n830 1242\n57668 86437\n34496 51616\n27501 41140\n43107 64596\n76111 100000\n12246 18322\n10602 15823\n25393 38007\n13315 19910\n42346 63451\n485 724\n6324 9430\n18560 27745\n13897 20771\n1646 2449\n94900 100000\n35487 53107\n56879 85259\n19867 29711\n25340 37929\n63827 95717\n8587 12797\n44827 67137\n41582 62309\n41453 62121\n63874 95790\n10333 15420\n28810 43080\n25639 38373\n54855 82223\n27507 41149\n83427 100000\n40570 60792\n28298 42324\n40612 60854\n10501 15675\n21811 32628\n48297 72384\n23412 35042\n2559 3836\n57840 86694\n77774 100000\n24856 37207\n20060 29982\n14762 22053\n12734 19043\n98790 100000\n13042 19502\n92289 100000\n86784 100000\n90838 100000\n72744 100000\n80168 100000\n75034 100000\n96847 100000\n91586 100000\n73829 100000\n34600 51766\n29752 44498\n18006 26915\n6871 10243\n81940 100000\n34680 51883\n16105 24079\n17887 26749\n69628 100000\n88164 100000\n13173 19701\n47003 70446\n21505 32164\n38896 58258\n41355 61972\n48328 72430\n67846 100000\n16219 24248\n43243 64793\n66034 99046\n27264 40795\n40647 60907\n58960 88378\n14799 22111\n29835 44624\n76860 100000\n86958 100000\n17148 25620\n27912 41744\n96620 100000\n65356 98030\n84352 100000\n41437 62100\n3676 5464\n34366 51423\n42325 63418\n35066 52463\n53632 80400\n80148 100000\n66315 99471\n25043 37488\n95098 100000\n15285 22835\n72285 100000\n75068 100000\n71924 100000\n9814 14647\n93291 100000\n63336 94992\n37859 56699\n82265 100000\n64416 96599\n63185 94765\n78551 100000\n50349 75475\n61866 92797\n23134 34626\n20583 30777\n98360 100000\n97838 100000\n39713 59491\n50016 74985\n44975 67368\n71495 100000\n80137 100000\n86204 100000\n28000 41874\n27530 41181\n78595 100000\n33174 49625\n25101 37573\n60387 90552\n56368 84485\n84827 100000\n4503 6697\n18694 27951\n59794 89644\n50378 75520\n91958 100000\n77437 100000\n11216 16740\n77304 100000\n59745 89564\n52143 78156\n60438 90629\n89211 100000\n9691 14454\n59478 89155\n76119 100000\n63076 94601\n49570 74311\n47264 70840\n60027 89995\n7517 11210\n96254 100000\n7933 11814\n92195 100000\n57853 86711\n18053 26986\n85432 100000\n58880 88259\n37170 55670\n60396 90563\n38225 57247\n96369 100000\n69736 100000\n26980 40380\n9216 13740\n24060 36007\n82596 100000\n43866 65741\n29815 44596\n41719 62512\n98305 100000\n39408 59041\n63382 95054\n11498 17176\n84747 100000\n44804 67105\n57709 86503\n40725 61032\n96713 100000\n29576 44224\n17390 25991\n25831 38664\n70058 100000\n17369 25958\n99711 100000\n38655 57898\n9000 13423\n18660 27894\n20373 30460\n89162 100000\n69365 100000\n54177 81216\n44572 66770\n7375 10998\n46675 69942\n35597 53274\n39723 59504\n26830 40157\n67901 100000\n89502 100000\n25879 38734\n47883 71772\n16324 24401\n57233 85774\n44049 66009\n5815 8658\n9212 13734\n31116 46549\n70452 100000\n99302 100000\n90585 100000\n53591 80339\n33314 49828\n29954 44804\n24278 36335\n92345 100000\n76191 100000\n50440 75607\n87902 100000\n93178 100000\n67108 100000\n64002 95985\n64857 97258\n40259 60311\n46772 70090\n6730 10021\n80941 100000\n62965 94432\n61991 92986\n24199 36220\n75204 100000\n46064 69018\n90645 100000\n32638 48815\n40170 60172\n73892 100000\n22205 33225\n33517 50136\n36126 54091\n77680 100000\n35650 53352\n44779 67070\n54182 81224\n45101 67560\n27043 40465\n49516 74228\n97396 100000\n7087 10566\n85843 100000\n53660 80442\n23686 35452\n19998 29896\n62110 93167\n39091 58548\n26696 39964\n64989 97454\n91714 100000\n55321 82913\n55416 83056\n21136 31609\n26180 39187\n13972 20881\n28012 41895\n11304 16875\n43286 64863\n93993 100000\n24116 36089\n73832 100000\n17213 25716\n2905 4337\n39614 59346\n94879 100000\n38459 57615\n46771 70088\n90846 100000\n10618 15843\n11825 17684\n14715 21985\n37503 56175\n57860 86724\n87765 100000\n68948 100000\n1942 2904\n98421 100000\n1740 2593\n86326 100000\n44629 66848\n83422 100000\n71111 100000\n54603 81846\n60016 89978\n38941 58317\n32854 49138\n57224 85761\n24429 36573\n53637 80409\n60797 91178\n82406 100000\n98582 100000\n65899 98835\n97258 100000\n72751 100000\n10096 15071\n55656 83406\n92856 100000\n88064 100000\n51724 77536\n37488 56154\n65331 97990\n76646 100000\n34849 52130\n70072 100000\n24926 37308\n64678 96989\n61377 92061\n87101 100000\n88207 100000\n72766 100000\n16882 25225\n78086 100000\n91566 100000\n30630 45819\n38154 57145\n92425 100000\n30913 46257\n46208 69229\n54822 82174\n77572 100000\n94511 100000\n53232 79804\n63389 95065\n10704 15967\n29082 43481\n27642 41349\n58490 87675\n27012 40420\n16216 24244\n37177 55678\n53009 79486\n71704 100000\n78186 100000\n89881 100000\n94768 100000\n6934 10337\n33935 50766\n82998 100000\n33227 49700\n10139 15131\n48909 73298\n17466 26109\n89731 100000\n2600 3892\n2316 3467\n68053 100000\n64503 96724\n45788 68600\n84714 100000\n38322 57396\n18778 28073\n44901 67253\n96279 100000\n82885 100000\n80428 100000\n58367 87490\n55002 82441\n34308 51331\n85614 100000\n87400 100000\n68220 100000\n1944 2908\n28260 42270\n41470 62150\n25529 38207\n19036 28462\n21590 32294\n57151 85655\n49295 73885\n36750 55041\n5759 8571\n8683 12939\n73133 100000\n2792 4163\n82504 100000\n81164 100000\n79594 100000\n75972 100000\n68010 100000\n10840 16170\n82181 100000\n59301 88891\n19595 29307\n29250 43731\n21879 32739\n38627 57859\n99135 100000\n89537 100000\n91435 100000\n37068 55512\n33962 50806\n36302 54358\n53683 80479\n40794 61141\n80316 100000\n10291 15353\n19132 28609\n28841 43122\n53621 80383\n21325 31894\n54261 81341\n22594 33816\n2601 3894\n9574 14286\n916 1370\n10367 15472\n37960 56848\n36187 54186\n15782 23595\n81867 100000\n20218 30210\n62908 94346\n70201 100000\n49058 73527\n89829 100000\n86459 100000\n90191 100000\n92099 100000\n88531 100000\n99798 100000\n97782 100000\n18546 27724\n29147 43576\n33408 49968\n56214 84254\n81306 100000\n46836 70189\n21238 31765\n31978 47856\n37707 56479\n18417 27527\n70460 100000\n83222 100000\n67977 100000\n43424 65081\n5469 8150\n39655 59402\n97260 100000\n20127 30081\n18012 26925\n81373 100000\n82501 100000\n65920 98868\n4986 7420\n31885 47712\n88249 100000\n51529 77241\n92885 100000\n53519 80227\n81828 100000\n80485 100000\n6650 9901\n25122 37603\n86226 100000\n73257 100000\n94143 100000\n8840 13180\n86630 100000\n71128 100000\n51625 77383\n16341 24423\n47418 71070\n95749 100000\n12706 18999\n8460 12597\n48778 73097\n78797 100000\n37506 56180\n86476 100000\n73684 100000\n86724 100000\n78570 100000\n95100 100000\n44733 67004\n44663 66902\n13629 20376\n64044 96045\n51640 77406\n61744 92620\n23637 35379\n62351 93521\n51978 77917\n44935 67305\n82645 100000\n40966 61401\n76545 100000\n86247 100000\n78819 100000\n11635 17391\n27205 40711\n70760 100000\n79459 100000\n956 1430\n49799 74655\n11179 16682\n97372 100000\n74732 100000\n578 865\n16979 25372\n61394 92085\n81990 100000\n81029 100000\n91660 100000\n97835 100000\n25733 38514\n71832 100000\n29700 44423\n30946 46308\n38208 57221\n4910 7302\n35875 53699\n13977 20889\n76223 100000\n51695 77493\n22715 33997\n93929 100000\n52246 78316\n23950 35843\n57956 86873\n67105 100000\n97878 100000\n81267 100000\n42938 64346\n24771 37083\n35407 52974\n22696 33967\n48662 72927\n38861 58207\n94206 100000\n43739 65550\n81634 100000\n30648 45846\n28667 42862\n94644 100000\n74941 100000\n74526 100000\n3184 4745\n30442 45529\n21228 31747\n8037 11961\n74537 100000\n1794 2682\n44294 66364\n37263 55806\n92641 100000\n75867 100000\n5707 8492\n32430 48521\n38315 57384\n44801 67102\n1144 1709\n3599 5348\n25260 37810\n97756 100000\n50783 76124\n10514 15693\n52042 78007\n93693 100000\n32370 48433\n99776 100000\n30638 45833\n71725 100000\n57505 86188\n38262 57303\n56909 85303\n47856 71730\n65489 98234\n10590 15807\n21635 32363\n38673 57925\n35965 53835\n3737 5559\n45389 67999\n37231 55760\n1478 2207\n89082 100000\n42072 63048\n22591 33812\n30782 46052\n986 1473\n21054 31482\n15741 23530\n14580 21781\n2875 4293\n68373 100000\n75778 100000\n43953 65872\n38293 57351\n7026 10475\n71290 100000\n16028 23963\n8178 12171\n72857 100000\n89230 100000\n77076 100000\n20065 29990\n33655 50340\n70133 100000\n80092 100000\n62417 93615\n72355 100000\n15559 23257\n66187 99279\n58196 87231\n80917 100000\n16821 25131\n48276 72357\n36424 54541\n47015 70464\n60892 91315\n13087 19571\n77723 100000\n45334 67920\n1856 2777\n16307 24374\n59105 88590\n21492 32145\n87996 100000\n26929 40301\n33082 49486\n27531 41182\n89675 100000\n34702 51918\n90673 100000\n57752 86564\n72432 100000\n35933 53787\n45285 67845\n68814 100000\n74755 100000\n76826 100000\n16492 24651\n97781 100000\n73391 100000\n51872 77752\n59701 89502\n59146 88650\n6901 10289\n91097 100000\n69129 100000\n50300 75399\n30271 45275\n50417 75577\n48497 72683\n21583 32284\n6187 9229\n77771 100000\n76457 100000\n75315 100000\n75528 100000\n76337 100000\n59184 88709\n52565 78795\n50942 76363\n33225 49698\n47956 71883\n1072 1607\n23216 34749\n46466 69630\n51249 76827\n91600 100000\n92518 100000\n31760 47525\n54540 81759\n2794 4166\n8873 13231\n41445 62111\n44874 67208\n8308 12366\n37327 55910\n1122 1679\n35167 52613\n77303 100000\n73394 100000\n77384 100000\n60315 90444\n1320 1976\n73863 100000\n16936 25307\n72284 100000\n36654 54893\n7214 10757\n26294 39362\n76094 100000\n42528 63726\n44552 66738\n92365 100000\n80217 100000\n53054 79545\n66981 100000\n61200 91778\n92249 100000\n42620 63856\n34575 51728\n81142 100000\n56528 84734\n7491 11170\n49163 73689\n40042 59986\n35704 53430\n20079 30011\n20695 30949\n26231 39264\n75235 100000\n2717 4056\n37662 56414\n84179 100000\n39567 59278\n38978 58376\n91021 100000\n20033 29943\n21340 31919\n18361 27448\n1683 2508\n29688 44402\n71380 100000\n66311 99463\n72908 100000\n77287 100000\n80639 100000\n73677 100000\n18171 27162\n11230 16765\n438 653\n69475 100000\n67327 100000\n36485 54630\n45657 68400\n87472 100000\n15355 22939\n82129 100000\n96113 100000\n98457 100000\n18654 27884\n48585 72811\n25950 38843\n89710 100000\n38512 57692\n3497 5197\n18363 27451\n88334 100000\n1432 2144\n81355 100000\n11182 16687\n53827 80697\n62409 93602\n63385 95059\n56779 85108\n32995 49351\n52000 77945\n11546 17250\n13336 19943\n44026 65974\n22317 33398\n24255 36305\n88502 100000\n87850 100000\n10871 16219\n13695 20468\n89792 100000\n68525 100000\n47223 70781\n54561 81787\n15474 23127\n17018 25426\n69115 100000\n76645 100000\n44707 66967\n98233 100000\n20046 29961\n43781 65611\n92276 100000\n53010 79487\n23847 35690\n44483 66634\n31588 47267\n14437 21564\n83024 100000\n46019 68949\n98876 100000\n93194 100000\n11209 16730\n31911 47750\n6524 9724\n5947 8861\n68581 100000\n49780 74626\n36544 54722\n8527 12707\n78036 100000\n50915 76322\n97749 100000\n93368 100000\n93274 100000\n14323 21399\n77920 100000\n69539 100000\n33393 49948\n89182 100000\n38365 57466\n60167 90210\n841 1261\n82144 100000\n16932 25301\n48153 72178\n82029 100000\n37061 55500\n82742 100000\n94799 100000\n9652 14398\n12756 19076\n85573 100000\n47852 71724\n67654 100000\n16784 25076\n80592 100000\n55586 83306\n8851 13196\n72962 100000\n7256 10819\n50480 75666\n60117 90137\n9407 14030\n65734 98598\n92449 100000\n58985 88415\n9186 13697\n72550 100000\n89179 100000\n80430 100000\n12320 18430\n28099 42027\n92648 100000\n90209 100000\n57415 86048\n76072 100000\n62660 93976\n58148 87160\n28458 42565\n21396 31999\n97670 100000\n9750 14549\n35325 52846\n17625 26340\n31857 47672\n28744 42983\n32719 48934\n54529 81743\n48246 72310\n852 1277\n83893 100000\n34013 50881\n88403 100000\n91934 100000\n47402 71045\n96976 100000\n23796 35610\n47458 71131\n9629 14364\n89695 100000\n67010 100000\n53186 79733\n88186 100000\n99591 100000\n59121 88614\n44753 67034\n58550 87763\n79835 100000\n89787 100000\n40230 60268\n88234 100000\n33753 50491\n77459 100000\n34749 51982\n32909 49225\n92469 100000\n71993 100000\n52282 78367\n56927 85331\n88492 100000\n60861 91269\n73461 100000\n16845 25166\n98987 100000\n77778 100000\n16797 25095\n51824 77683\n32868 49161\n85282 100000\n70961 100000\n51235 76806\n28269 42282\n84498 100000\n87397 100000\n88483 100000\n91768 100000\n3552 5280\n37595 56314\n50405 75561\n85796 100000\n65183 97754\n40047 59992\n53279 79874\n22879 34254\n50496 75690\n27141 40620\n43612 65363\n19376 28978\n60561 90818\n49440 74113\n869 1302\n69419 100000\n36210 54222\n88495 100000\n28679 42881\n4486 6674\n21049 31475\n98863 100000\n35286 52791\n78789 100000\n91046 100000\n61828 92736\n68958 100000\n17604 26309\n56185 84209\n87377 100000\n41489 62176\n72636 100000\n83186 100000\n30814 46104\n8918 13301\n88762 100000\n64651 96947\n20322 30382\n51928 77838\n50343 75466\n58780 88111\n41299 61888\n87279 100000\n74056 100000\n87694 100000\n67306 100000\n62187 93279\n57667 86435\n80342 100000\n24115 36087\n32964 49306\n54718 82016\n27552 41213\n22628 33869\n98867 100000\n33395 49951\n38162 57154\n60283 90392\n27993 41864\n69771 100000\n20481 30618\n19388 28996\n91518 100000\n42777 64092\n77970 100000\n88567 100000\n50569 75797\n61854 92780\n68546 100000\n31157 46607\n25123 37604\n69776 100000\n34760 51997\n14046 20991\n63578 95341\n2852 4253\n73289 100000\n79587 100000\n19134 28612\n29165 43603\n19825 29648\n95144 100000\n83646 100000\n48141 72159\n49845 74725\n34525 51656\n26340 39432\n70012 100000\n46158 69160\n97871 100000\n84969 100000\n5321 7922\n26651 39897\n95054 100000\n91757 100000\n79589 100000\n31849 47658\n93453 100000\n85922 100000\n92515 100000\n2745 4093\n46821 70168\n26200 39219\n68791 100000\n41979 62909\n41685 62460\n3023 4510\n75188 100000\n48779 73099\n5185 7725\n28202 42180\n17955 26841\n35203 52669\n6221 9278\n50196 75242\n55316 82906\n14531 21705\n8779 13081\n85720 100000\n43971 65896\n41815 62655\n38962 58349\n12454 18622\n42194 63226\n26919 40286\n81476 100000\n31773 47543\n92040 100000\n10325 15407\n14255 21298\n58466 87638\n10513 15692\n97916 100000\n85972 100000\n73200 100000\n26245 39288\n93613 100000\n20691 30942\n18296 27348\n11400 17015\n14629 21857\n88414 100000\n30673 45884\n78916 100000\n67498 100000\n51678 77464\n82453 100000\n83591 100000\n11212 16734\n20921 31283\n58745 88056\n38100 57066\n75319 100000\n1545 2304\n77509 100000\n55998 83926\n95987 100000\n56329 84426\n56226 84272\n22445 33593\n74021 100000\n74689 100000\n54036 81001\n84423 100000\n54042 81008\n80999 100000\n79172 100000\n7883 11744\n81368 100000\n13804 20637\n19546 29230\n95090 100000\n60903 91332\n45338 67926\n42810 64142\n54908 82298\n38339 57426\n11878 17770\n17230 25741\n81708 100000\n53205 79762\n36011 53905\n6662 9919\n97168 100000\n20973 31360\n82532 100000\n64671 96977\n9964 14873\n70384 100000\n38439 57581\n26729 40012\n67356 100000\n58774 88102\n13866 20725\n13582 20310\n78215 100000\n38286 57341\n32887 49191\n58329 87435\n85226 100000\n63807 95690\n72315 100000\n52148 78165\n31522 47168\n39796 59615\n24200 36221\n38295 57354\n56825 85176\n15870 23727\n6537 9744\n42679 63948\n4568 6788\n22529 33718\n27107 40567\n45701 68468\n65794 98686\n52824 79200\n60158 90199\n10451 15608\n34818 52086\n79812 100000\n86483 100000\n16951 25329\n67913 100000\n75287 100000\n61630 92437\n59475 89150\n91161 100000\n17537 26212\n41926 62826\n87586 100000\n90725 100000\n22371 33484\n98466 100000\n32535 48668\n41583 62311\n64373 96532\n4850 7212\n25921 38795\n86966 100000\n8513 12683\n90246 100000\n23752 35542\n12655 18924\n58339 87447\n47592 71332\n13952 20852\n14091 21055\n42209 63248\n453 676\n560 840\n94942 100000\n86438 100000\n91778 100000\n21661 32403\n82506 100000\n22241 33281\n71249 100000\n11470 17130\n72669 100000\n69257 100000\n99755 100000\n7044 10500\n4530 6736\n46243 69283\n91476 100000\n61362 92039\n51772 77606\n87420 100000\n68457 100000\n84867 100000\n23469 35127\n93115 100000\n86820 100000\n92170 100000\n85417 100000\n90245 100000\n82414 100000\n67819 100000\n16810 25114\n23815 35643\n78543 100000\n17983 26884\n57921 86821\n97272 100000\n92212 100000\n19767 29562\n10455 15614\n77361 100000\n34492 51610\n70600 100000\n79987 100000\n41992 62929\n24964 37362\n50627 75876\n92124 100000\n3986 5920\n46561 69767\n61131 91673\n20793 31097\n84211 100000\n25817 38643\n65036 97526\n87191 100000\n48427 72577\n31127 46565\n91929 100000\n28825 43101\n114 167\n87773 100000\n69573 100000\n50326 75440\n82837 100000\n51642 77409\n89257 100000\n28213 42198\n31055 46462\n61406 92104\n52921 79350\n28760 43004\n38991 58395\n23101 34579\n42001 62944\n1516 2260\n85422 100000\n46203 69222\n86871 100000\n10829 16152\n6510 9703\n61636 92448\n97915 100000\n71222 100000\n94155 100000\n60363 90515\n9035 13477\n75386 100000\n38364 57464\n36040 53948\n88372 100000\n22962 34380\n23221 34758\n37112 55581\n34808 52070\n5555 8275\n15700 23469\n71709 100000\n50646 75905\n51231 76800\n95475 100000\n40057 60006\n76752 100000\n59204 88738\n32771 49012\n18213 27222\n27313 40864\n40827 61195\n73004 100000\n9177 13684\n87888 100000\n58526 87731\n47714 71510\n13516 20211\n73650 100000\n96572 100000\n79179 100000\n13957 20858\n12491 18677\n66564 99843\n51888 77776\n87937 100000\n36988 55390\n96600 100000\n43234 64778\n915 1368\n62862 94278\n90370 100000\n4691 6970\n56664 84932\n24253 36301\n5013 7461\n13416 20062\n34171 51118\n41913 62807\n39893 59759\n32589 48743\n4606 6846\n91973 100000\n93756 100000\n39495 59171\n22620 33857\n96425 100000\n20961 31342\n6043 9006\n94747 100000\n85012 100000\n36506 54662\n64810 97189\n70412 100000\n40208 60233\n4796 7129\n84525 100000\n63539 95285\n85194 100000\n77777 100000\n2445 3659\n15189 22691\n85776 100000\n53588 80334\n84497 100000\n43399 65039\n64599 96866\n42162 63180\n4289 6382\n21290 31846\n76283 100000\n67786 100000\n13403 20039\n64491 96705\n97116 100000\n38662 57909\n2952 4408\n1544 2303\n86675 100000\n12790 19129\n61122 91657\n7807 11629\n92260 100000\n93594 100000\n75112 100000\n32377 48443\n1705 2542\n67610 100000\n47350 70971\n84921 100000\n94760 100000\n44493 66651\n31063 46473\n63157 94723\n84731 100000\n24633 36880\n40310 60388\n1291 1936\n69345 100000\n32390 48462\n7134 10640\n21600 32307\n45819 68644\n195 288\n93004 100000\n93629 100000\n32703 48909\n77692 100000\n50612 75856\n35728 53470\n49350 73974\n93263 100000\n18730 28006\n89981 100000\n84671 100000\n35288 52794\n45077 67520\n60748 91104\n64392 96561\n3394 5046\n59424 89070\n13754 20559\n63754 95604\n25910 38778\n50382 75528\n87866 100000\n27449 41065\n92683 100000\n17382 25977\n17778 26574\n78867 100000\n14276 21330\n7708 11498\n92672 100000\n78137 100000\n92436 100000\n73150 100000\n89237 100000\n25286 37845\n87636 100000\n41826 62674\n50920 76330\n9680 14438\n22054 32996\n1491 2225\n54234 81299\n28547 42685\n26516 39690\n34508 51635\n99960 100000\n7348 10958\n53317 79932\n15703 23473\n26780 40086\n94806 100000\n82256 100000\n92222 100000\n16239 24281\n57276 85840\n11111 16579\n16385 24488\n16166 24167\n56496 84682\n14514 21683\n84128 100000\n70183 100000\n57135 85630\n35057 52452\n87236 100000\n22076 33030\n5038 7504\n76358 100000\n30232 45219\n88590 100000\n58089 87074\n28949 43277\n26675 39934\n61336 91998\n81626 100000\n22985 34416\n95704 100000\n83556 100000\n55178 82698\n82999 100000\n43138 64640\n85402 100000\n42539 63743\n44765 67050\n91000 100000\n49935 74861\n30183 45147\n14224 21252\n24542 36748\n29287 43784\n3035 4524\n49433 74103\n1528 2279\n32842 49122\n25674 38426\n12221 18280\n56125 84116\n11468 17126\n73352 100000\n27621 41315\n790 1183\n68962 100000\n27082 40527\n31120 46554\n99930 100000\n70177 100000\n39677 59434\n83331 100000\n14498 21659\n65319 97972\n83409 100000\n15263 22805\n89426 100000\n4214 6268\n3738 5560\n80019 100000\n88361 100000\n36725 55001\n15289 22842\n64631 96917\n52242 78309\n5690 8465\n27441 41051\n93779 100000\n14837 22167\n72819 100000\n63497 95223\n72129 100000\n87402 100000\n82377 100000\n46159 69161\n92958 100000\n16562 24751\n88530 100000\n50616 75861\n95691 100000\n59240 88793\n20825 31142\n88405 100000\n97619 100000\n73265 100000\n46602 69832\n55030 82481\n75420 100000\n97755 100000\n30589 45754\n74332 100000\n96952 100000\n15154 22639\n54975 82401\n80991 100000\n39757 59554\n83275 100000\n59228 88775\n31631 47327\n73006 100000\n68820 100000\n53696 80497\n91016 100000\n6406 9550\n34535 51673\n26297 39367\n88350 100000\n69732 100000\n78243 100000\n81002 100000\n90483 100000\n19341 28926\n50620 75866\n13768 20584\n95443 100000\n2574 3856\n55228 82773\n40722 61027\n87616 100000\n57740 86550\n29697 44417\n38498 57668\n68950 100000\n85986 100000\n1368 2044\n67830 100000\n87942 100000\n6089 9074\n78528 100000\n10786 16093\n88811 100000\n34957 52297\n1351 2021\n32070 47985\n80551 100000\n25656 38399\n86057 100000\n15986 23906\n36699 54963\n81971 100000\n79738 100000\n92290 100000\n57614 86353\n37293 55853\n62914 94357\n5907 8802\n92224 100000\n46447 69603\n26449 39596\n57116 85606\n26008 38927\n41144 61666\n25575 38282\n77548 100000\n18341 27421\n13153 19673\n8154 12138\n98506 100000\n42239 63295\n44602 66812\n23536 35228\n57736 86542\n17884 26746\n27064 40497\n1718 2563\n5865 8736\n5416 8071\n46190 69203\n17627 26343\n70190 100000\n99213 100000\n60371 90527\n38461 57618\n71992 100000\n70881 100000\n14420 21537\n23726 35508\n41113 61621\n57962 86881\n65172 97739\n72429 100000\n33308 49820\n69083 100000\n96604 100000\n71242 100000\n41399 62042\n60646 90948\n72926 100000\n21338 31917\n26373 39485\n38475 57637\n16187 24199\n92620 100000\n33192 49650\n74535 100000\n53905 80808\n7101 10585\n30586 45748\n32161 48125\n76772 100000\n79934 100000\n20159 30126\n50377 75518\n53233 79806\n59649 89421\n83445 100000\n87432 100000\n48200 72242\n50351 75478\n73696 100000\n10627 15856\n59315 88908\n96698 100000\n62640 93946\n89617 100000\n73851 100000\n11086 16541\n70510 100000\n78643 100000\n10591 15808\n94210 100000\n19945 29820\n81967 100000\n8286 12330\n63908 95847\n10250 15292\n76565 100000\n39304 58873\n66402 99601\n52419 78572\n39473 59141\n57447 86100\n11843 17713\n38810 58130\n24142 36129\n1097 1642\n40509 60689\n44065 66035\n83743 100000\n86382 100000\n98311 100000\n62992 94473\n78566 100000\n576 862\n69128 100000\n28110 42044\n88189 100000\n53236 79811\n47801 71644\n82950 100000\n92159 100000\n65174 97742\n57892 86774\n75185 100000\n66862 100000\n41015 61472\n95487 100000\n80827 100000\n56358 84471\n79155 100000\n65496 98246\n68751 100000\n57815 86657\n95075 100000\n78307 100000\n99423 100000\n99955 100000\n9649 14393\n3862 5735\n75830 100000\n77699 100000\n18904 28263\n19271 28819\n25832 38666\n94624 100000\n41140 61660\n46726 70022\n60518 90751\n4964 7385\n3604 5353\n65840 98751\n12157 18190\n37974 56868\n96573 100000\n45653 68393\n10861 16203\n3810 5659\n71052 100000\n53859 80741\n94698 100000\n17404 26012\n19518 29190\n13975 20885\n54836 82195\n47381 71017\n18301 27356\n14716 21987\n7559 11270\n46911 70305\n16972 25361\n51516 77220\n96915 100000\n98785 100000\n37562 56263\n5076 7560\n55913 83801\n73407 100000\n3086 4599\n97763 100000\n27067 40502\n25882 38737\n95257 100000\n22656 33908\n56100 84076\n48188 72228\n9450 14098\n68342 100000\n85271 100000\n49323 73929\n72667 100000\n67006 100000\n65187 97761\n78173 100000\n63654 95448\n77569 100000\n42754 64060\n58289 87374\n59186 88712\n8339 12413\n93851 100000\n84424 100000\n10594 15812\n15803 23624\n30693 45913\n77932 100000\n30127 45064\n92402 100000\n96744 100000\n71778 100000\n61251 91863\n74158 100000\n69008 100000\n77324 100000\n18348 27431\n24795 37122\n36089 54032\n30672 45882\n52883 79287\n53821 80687\n51958 77885\n86839 100000\n21487 32138\n55865 83727\n94717 100000\n5097 7591\n56632 84885\n16085 24052\n95720 100000\n767 1147\n7131 10634\n31939 47796\n77580 100000\n75380 100000\n31919 47762\n53712 80522\n32886 49189\n91989 100000\n98846 100000\n41219 61780\n99699 100000\n98248 100000\n67162 100000\n81299 100000\n75691 100000\n87429 100000\n87396 100000\n92242 100000\n97830 100000\n19988 29882\n34942 52273\n98201 100000\n30843 46150\n69417 100000\n60391 90558\n6813 10151\n15948 23849\n49895 74799\n36546 54726\n95926 100000\n16074 24034\n23211 34741\n34269 51271\n73761 100000\n91086 100000\n37888 56744\n30530 45662\n16158 24157\n30649 45847\n14595 21801\n42275 63348\n40666 60939\n14268 21317\n58576 87802\n62657 93971\n19757 29545\n76499 100000\n11442 17083\n52903 79321\n15014 22432\n918 1372\n35746 53500\n48763 73074\n80695 100000\n42572 63789\n49169 73699\n98526 100000\n79833 100000\n27443 41053\n30494 45608\n86336 100000\n62673 93994\n44811 67114\n17084 25526\n35814 53607\n32101 48036\n51275 76866\n31641 47341\n89534 100000\n97439 100000\n76429 100000\n55634 83374\n27847 41650\n23502 35179\n17304 25854\n8022 11940\n50907 76311\n44316 66398\n21252 31787\n35667 53377\n32113 48055\n81557 100000\n50815 76172\n64696 97015\n92047 100000\n75560 100000\n90459 100000\n70806 100000\n40552 60760\n6801 10131\n88376 100000\n79755 100000\n58874 88253\n8988 13405\n65282 97909\n50922 76334\n60967 91430\n51006 76462\n24332 36421\n2855 4258\n85369 100000\n98125 100000\n17688 26440\n58134 87140\n33760 50501\n85548 100000\n81619 100000\n66911 100000\n16280 24336\n12961 19382\n40405 60531\n9100 13570\n73378 100000\n88160 100000\n57567 86276\n35966 53837\n17612 26320\n75693 100000\n42784 64103\n93402 100000\n64576 96833\n73625 100000\n25102 37574\n86101 100000\n33961 50804\n71893 100000\n90127 100000\n38165 57157\n25638 38371\n63186 94767\n6545 9754\n42212 63252\n85753 100000\n92336 100000\n57661 86425\n81762 100000\n76036 100000\n88202 100000\n50304 75405\n75390 100000\n11746 17563\n80032 100000\n81171 100000\n52445 78615\n31088 46507\n91905 100000\n25374 37977\n37089 55548\n15638 23374\n41198 61749\n31233 46723\n48762 73073\n64741 97080\n56286 84361\n81156 100000\n24989 37405\n61796 92691\n78792 100000\n86844 100000\n25227 37761\n66278 99412\n51112 76615\n5441 8109\n4863 7230\n14297 21360\n29614 44289\n43467 65147\n58450 87615\n83051 100000\n66516 99768\n88611 100000\n53808 80667\n63236 94843\n60018 89981\n41485 62171\n95631 100000\n41837 62694\n94653 100000\n33014 49382\n72681 100000\n91955 100000\n15109 22572\n17068 25500\n2194 3284\n37519 56199\n99803 100000\n48540 72747\n86522 100000\n27842 41643\n22082 33039\n48221 72272\n65117 97650\n27103 40559\n33448 50029\n16235 24274\n38424 57558\n74813 100000\n69893 100000\n36931 55305\n35152 52590\n51491 77183\n92977 100000\n20482 30620\n45240 67776\n47645 71405\n52345 78457\n51200 76753\n49086 73569\n92033 100000\n92062 100000\n76277 100000\n1862 2785\n17307 25860\n88850 100000\n99681 100000\n1396 2087\n21730 32507\n28137 42085\n64866 97271\n90203 100000\n19646 29380\n14659 21900\n34197 51155\n9568 14277\n75223 100000\n93172 100000\n22211 33234\n46544 69741\n97255 100000\n75492 100000\n16426 24546\n60359 90509\n3546 5271\n81204 100000\n42799 64123\n17511 26171\n90732 100000\n93379 100000\n26769 40072\n17759 26545\n40512 60695\n29728 44461\n79442 100000\n99653 100000\n68770 100000\n38623 57854\n99892 100000\n51780 77615\n40283 60346\n40315 60395\n26557 39757\n34154 51093\n58212 87256\n92935 100000\n44395 66508\n65778 98663\n71729 100000\n17333 25901\n92947 100000\n25070 37528\n3729 5548\n49739 74561\n48316 72410\n1027 1537\n77185 100000\n29584 44238\n237 351\n6797 10123\n17655 26388\n74370 100000\n63735 95575\n48435 72586\n7236 10790\n39189 58701\n40568 60789\n1188 1776\n69297 100000\n39974 59882\n47289 70880\n42205 63244\n33115 49538\n91835 100000\n38066 57013\n78636 100000\n79084 100000\n91921 100000\n9735 14526\n73166 100000\n77865 100000\n20829 31147\n98715 100000\n78388 100000\n88680 100000\n75892 100000\n93399 100000\n38060 57003\n72404 100000\n85097 100000\n75543 100000\n37876 56725\n89909 100000\n76387 100000\n1521 2267\n5388 8025\n72314 100000\n61513 92259\n99602 100000\n59411 89052\n26542 39731\n6721 10010\n66662 99990\n1192 1782\n16339 24420\n38038 56970\n40742 61058\n14714 21984\n93559 100000\n40390 60508\n23507 35187\n17564 26250\n26701 39970\n49868 74755\n81347 100000\n16111 24089\n87648 100000\n18498 27650\n98538 100000\n93682 100000\n72134 100000\n26747 40038\n3967 5893\n77475 100000\n38886 58244\n54929 82330\n60085 90088\n28956 43287\n285 419\n25435 38071\n63044 94552\n73992 100000\n5665 8431\n89171 100000\n79367 100000\n17594 26294\n70193 100000\n4647 6910\n49049 73514\n18820 28137\n99597 100000\n52956 79404\n23111 34594\n95073 100000\n21732 32509\n69692 100000\n3667 5451\n61766 92648\n7732 11531\n66556 99830\n60821 91212\n24340 36432\n63095 94634\n57952 86869\n10910 16277\n37882 56735\n9115 13592\n34660 51850\n75378 100000\n99434 100000\n5397 8042\n96288 100000\n562 842\n32067 47982\n14727 22003\n84568 100000\n79419 100000\n45727 68507\n70773 100000\n82854 100000\n71821 100000\n30084 44997\n8710 12976\n28847 43130\n38457 57611\n94343 100000\n18163 27150\n77325 100000\n13834 20678\n17022 25433\n58825 88185\n21116 31576\n82994 100000\n65846 98760\n6955 10369\n1810 2704\n2382 3568\n80237 100000\n36951 55336\n69472 100000\n38530 57718\n62647 93957\n28514 42639\n13411 20053\n39436 59086\n21952 32845\n50945 76369\n89674 100000\n46753 70063\n53615 80374\n30067 44973\n99414 100000\n17670 26413\n48505 72696\n14553 21740\n28529 42661\n61420 92125\n29777 44538\n2233 3339\n52718 79031\n22769 34078\n84429 100000\n37227 55752\n85740 100000\n76569 100000\n11759 17583\n73575 100000\n83699 100000\n46661 69922\n13637 20386\n56785 85117\n79572 100000\n53559 80287\n68571 100000\n25050 37496\n28682 42885\n3412 5069\n96465 100000\n13911 20793\n38603 57823\n86895 100000\n56592 84823\n3267 4868\n23795 35608\n47368 70999\n14753 22041\n31910 47749\n72069 100000\n281 414\n9943 14842\n34444 51539\n52900 79316\n16009 23939\n2264 3385\n74775 100000\n73182 100000\n71357 100000\n42548 63756\n42373 63493\n16910 25264\n34788 52041\n58716 88013\n30781 46050\n78598 100000\n34372 51431\n80834 100000\n32249 48259\n48460 72628\n89442 100000\n78247 100000\n94237 100000\n7221 10770\n25065 37520\n49563 74302\n65402 98100\n58884 88266\n97051 100000\n78454 100000\n72171 100000\n69493 100000\n21770 32563\n16647 24875\n13062 19535\n79616 100000\n27859 41667\n56120 84108\n12569 18791\n2706 4040\n80255 100000\n95751 100000\n89739 100000\n7555 11264\n37667 56421\n62162 93244\n37543 56235\n40029 59966\n9288 13849\n34642 51826\n74618 100000\n74563 100000\n16640 24864\n14444 21573\n3092 4608\n1035 1550\n48922 73317\n3269 4872\n23042 34496\n36767 55065\n74002 100000\n21023 31435\n46872 70246\n62266 93396\n18250 27279\n79206 100000\n23673 35434\n33050 49439\n7402 11042\n65002 97474\n40978 61418\n46027 68963\n23850 35695\n75044 100000\n62359 93532\n13613 20353\n17471 26114\n77630 100000\n33759 50500\n44032 65983\n85585 100000\n11545 17249\n40973 61411\n6578 9801\n18631 27848\n71861 100000\n48478 72656\n58899 88286\n92604 100000\n31277 46792\n64409 96590\n40679 60959\n50292 75388\n66325 99486\n6046 9010\n74134 100000\n78251 100000\n61273 91898\n50628 75878\n13097 19586\n90564 100000\n26145 39139\n53355 79985\n36284 54333\n83048 100000\n517 771\n89745 100000\n80758 100000\n13631 20378\n68763 100000\n70447 100000\n75864 100000\n81946 100000\n63552 95306\n41300 61890\n63302 94944\n91855 100000\n83279 100000\n54079 81066\n28831 43110\n25255 37803\n25257 37806\n55455 83115\n17518 26182\n2980 4445\n21182 31676\n53839 80714\n55134 82630\n58345 87454\n26562 39765\n66736 100000\n31447 47057\n41746 62553\n7824 11654\n48050 72023\n96297 100000\n19826 29650\n78225 100000\n23474 35135\n84282 100000\n55358 82968\n85279 100000\n6394 9531\n30512 45634\n71683 100000\n54617 81862\n37995 56904\n68022 100000\n55294 82874\n49829 74701\n3870 5747\n1626 2417\n2219 3319\n10636 15867\n55415 83054\n80987 100000\n62399 93588\n20140 30100\n28549 42688\n1869 2795\n89522 100000\n56816 85161\n89530 100000\n6447 9608\n82250 100000\n6919 10316\n7952 11840\n39545 59248\n66718 100000\n29197 43650\n99465 100000\n62272 93404\n16906 25260\n83432 100000\n76230 100000\n73599 100000\n94037 100000\n55051 82511\n6734 10026\n57922 86823\n30518 45644\n23018 34463\n81812 100000\n5567 8291\n10193 15207\n959 1434\n10994 16406\n49246 73814\n5563 8286\n78423 100000\n91283 100000\n6619 9857\n66 98\n51041 76514\n79634 100000\n93618 100000\n96863 100000\n10587 15801\n49248 73817\n17703 26464\n85029 100000\n34619 51794\n78064 100000\n36049 53964\n20267 30286\n96143 100000\n46443 69596\n79445 100000\n82396 100000\n61983 92974\n1098 1643\n84935 100000\n73714 100000\n62109 93165\n18023 26940\n87386 100000\n53398 80047\n27817 41607\n46115 69090\n13432 20087\n75512 100000\n26414 39543\n67869 100000\n1350 2019\n69939 100000\n84800 100000\n55583 83303\n73251 100000\n46592 69815\n64957 97406\n63416 95106\n97761 100000\n63808 95692\n76620 100000\n15790 23605\n11463 17118\n88190 100000\n38075 57027\n21651 32390\n45719 68496\n92135 100000\n15145 22625\n38077 57031\n85686 100000\n47160 70686\n92179 100000\n54385 81523\n33812 50577\n46144 69139\n56593 84824\n72079 100000\n81217 100000\n7149 10661\n19450 29084\n20070 29997\n31598 47281\n26723 40003\n50999 76450\n73825 100000\n35912 53758\n18079 27026\n10960 16355\n69066 100000\n60182 90235\n19574 29277\n36456 54589\n66012 99014\n86340 100000\n77791 100000\n54936 82342\n45417 68041\n75540 100000\n72371 100000\n16697 24948\n14643 21877\n60402 90572\n70598 100000\n44174 66201\n68029 100000\n23491 35163\n54089 81082\n3085 4598\n1868 2793\n96126 100000\n79726 100000\n57760 86574\n66697 100000\n94341 100000\n24141 36128\n72498 100000\n79546 100000\n99991 100000\n83169 100000\n47277 70860\n16327 24405\n87559 100000\n86977 100000\n98576 100000\n53197 79751\n18715 27982\n21915 32792\n2929 4374\n56576 84802\n82177 100000\n47274 70855\n22808 34142\n476 710\n50888 76281\n20536 30703\n97757 100000\n87025 100000\n13119 19617\n93747 100000\n52479 78668\n10679 15930\n29251 43733\n64262 96362\n45206 67724\n940 1407\n42067 63041\n42296 63379\n96774 100000\n37186 55690\n72379 100000\n22895 34280\n83782 100000\n1235 1847\n54828 82183\n6093 9080\n1816 2712\n53239 79816\n17189 25680\n46033 68970\n76841 100000\n84217 100000\n36844 55185\n82948 100000\n42925 64326\n82266 100000\n32779 49025\n74315 100000\n7170 10694\n7055 10516\n10805 16118\n42158 63175\n39488 59160\n58827 88187\n69243 100000\n56752 85065\n34862 52149\n9721 14505\n23336 34932\n34389 51461\n76595 100000\n53006 79482\n67289 100000\n32764 49002\n2192 3282\n79949 100000\n34355 51404\n48097 72094\n26568 39774\n78492 100000\n75381 100000\n84121 100000\n50522 75734\n59152 88659\n66828 100000\n38456 57609\n34102 51015\n53123 79643\n47571 71301\n84871 100000\n67736 100000\n51358 76989\n74223 100000\n92163 100000\n14096 21062\n32045 47951\n38145 57130\n84288 100000\n52569 78800\n98502 100000\n40460 60612\n25533 38212\n28361 42422\n10601 15821\n62357 93529\n56575 84801\n59195 88726\n5866 8737\n90940 100000\n87135 100000\n59040 88499\n41631 62382\n70033 100000\n79056 100000\n2328 3487\n20000 29898\n83023 100000\n6311 9411\n37577 56284\n41764 62580\n5624 8373\n38608 57831\n72157 100000\n81857 100000\n64301 96421\n60492 90712\n9714 14494\n7523 11219\n28602 42763\n37863 56706\n82055 100000\n21251 31785\n78585 100000\n43495 65189\n86856 100000\n22111 33084\n65710 98559\n5546 8264\n83844 100000\n66036 99049\n78076 100000\n63756 95607\n63443 95146\n91459 100000\n34023 50896\n48395 72531\n89456 100000\n87491 100000\n95028 100000\n56629 84881\n86373 100000\n78109 100000\n62712 94050\n62940 94395\n25111 37588\n65217 97805\n45781 68590\n96032 100000\n37844 56676\n79690 100000\n96507 100000\n58467 87639\n36026 53927\n74426 100000\n23017 34461\n98088 100000\n69530 100000\n69811 100000\n9763 14566\n23727 35509\n68919 100000\n88769 100000\n13287 19866\n83189 100000\n83679 100000\n54555 81781\n64342 96482\n64365 96519\n9069 13521\n85046 100000\n19071 28514\n69314 100000\n5112 7612\n42397 63531\n66046 99066\n95616 100000\n19786 29590\n8552 12746\n72444 100000\n7858 11707\n70325 100000\n32062 47975\n77743 100000\n3067 4571\n45703 68471\n81370 100000\n73470 100000\n84353 100000\n99881 100000\n96822 100000\n15881 23745\n35529 53177\n29810 44586\n14818 22138\n71485 100000\n78431 100000\n29753 44499\n98780 100000\n10268 15318\n77068 100000\n43080 64559\n54700 81988\n71394 100000\n45700 68467\n54183 81226\n69813 100000\n17634 26353\n8972 13381\n80558 100000\n82136 100000\n22685 33950\n46636 69884\n44920 67281\n12755 19075\n38578 57788\n12389 18531\n84469 100000\n64864 97269\n50056 75042\n49873 74765\n69392 100000\n43507 65206\n68438 100000\n66852 100000\n47489 71177\n54102 81100\n69375 100000\n43125 64622\n54946 82358\n44976 67370\n81116 100000\n67449 100000\n45258 67802\n84627 100000\n60555 90809\n33233 49708\n6548 9759\n91403 100000\n96096 100000\n42756 64063\n41879 62753\n83658 100000\n58486 87669\n43340 64946\n60538 90785\n18833 28156\n27290 40830\n78200 100000\n37088 55546\n45484 68141\n61685 92528\n87426 100000\n40519 60707\n21048 31474\n40874 61261\n14445 21574\n6854 10213\n24487 36660\n36372 54467\n52058 78033\n32751 48984\n25481 38138\n26487 39651\n63208 94802\n69125 100000\n83735 100000\n43441 65106\n18105 27065\n77205 100000\n69859 100000\n6666 9923\n76688 100000\n53892 80791\n32927 49250\n71926 100000\n62157 93236\n29134 43557\n40248 60295\n18854 28192\n99095 100000\n53457 80137\n67746 100000\n40027 59962\n22190 33200\n95577 100000\n83192 100000\n82468 100000\n8580 12788\n6040 9001\n18980 28375\n33514 50131\n18262 27298\n68922 100000\n19698 29453\n13131 19639\n78365 100000\n46769 70085\n5167 7694\n81120 100000\n67218 100000\n91740 100000\n82620 100000\n68206 100000\n64988 97453\n86764 100000\n88458 100000\n58489 87673\n38686 57945\n66132 99195\n35782 53554\n10459 15619\n84435 100000\n19411 29027\n40757 61082\n91653 100000\n62674 93996\n31210 46688\n71334 100000\n33017 49386\n71964 100000\n33997 50857\n97035 100000\n30709 45938\n42770 64083\n3745 5570\n90430 100000\n68980 100000\n477 712\n83621 100000\n89951 100000\n37679 56438\n25844 38683\n32856 49142\n97876 100000\n49954 74890\n94294 100000\n27246 40771\n81851 100000\n18908 28270\n96063 100000\n47386 71025\n41518 62223\n23419 35053\n63558 95313\n25409 38030\n75490 100000\n30177 45137\n5912 8808\n57353 85955\n91942 100000\n24379 36496\n78509 100000\n41517 62222\n74637 100000\n2369 3546\n82053 100000\n58567 87788\n71678 100000\n21234 31757\n82636 100000\n87883 100000\n51752 77579\n63648 95439\n35985 53865\n12775 19105\n27455 41073\n78881 100000\n19124 28597\n66775 100000\n42672 63938\n90323 100000\n36867 55219\n14865 22215\n89289 100000\n68392 100000\n56115 84103\n58890 88273\n70102 100000\n82400 100000\n91589 100000\n5803 8639\n59422 89067\n71598 100000\n93973 100000\n53340 79965\n26906 40268\n51699 77500\n20035 29947\n73565 100000\n39644 59386\n42740 64041\n97323 100000\n88542 100000\n58677 87959\n42632 63877\n81457 100000\n23449 35097\n5233 7791\n23312 34903\n87596 100000\n68583 100000\n6736 10029\n56174 84193\n39747 59540\n17420 26037\n14749 22035\n80745 100000\n3651 5429\n74969 100000\n11379 16985\n23252 34806\n79938 100000\n63773 95635\n51811 77666\n31767 47534\n25349 37943\n33332 49854\n13905 20785\n67103 100000\n64861 97264\n28480 42591\n3894 5785\n95294 100000\n20915 31274\n63987 95966\n59244 88799\n70866 100000\n38537 57729\n27263 40794\n21763 32551\n39752 59546\n40920 61330\n77002 100000\n47894 71789\n32635 48811\n87203 100000\n13230 19783\n78223 100000\n38121 57093\n57493 86171\n25446 38087\n53832 80704\n91752 100000\n23227 34768\n50624 75872\n15094 22551\n54012 80964\n82150 100000\n58990 88421\n66332 99496\n14793 22099\n7160 10678\n24046 35988\n30956 46322\n6538 9745\n39787 59601\n48645 72900\n16348 24432\n31434 47036\n37181 55683\n5294 7883\n45784 68594\n34481 51591\n99244 100000\n2211 3308\n88090 100000\n98206 100000\n24085 36044\n2124 3182\n57238 85782\n55694 83459\n24277 36334\n8001 11910\n21876 32733\n38027 56953\n48371 72494\n85687 100000\n97363 100000\n7469 11136\n81286 100000\n18863 28205\n56568 84793\n39097 58557\n24805 37136\n42439 63597\n57261 85818\n74551 100000\n97688 100000\n75394 100000\n73448 100000\n18692 27948\n38550 57746\n72746 100000\n82478 100000\n26656 39906\n37380 55990\n9584 14301\n4053 6018\n26078 39029\n40110 60086\n17320 25880\n44533 66711\n53809 80668\n94549 100000\n15518 23192\n42109 63104\n31667 47383\n40447 60594\n3763 5595\n21047 31473\n30340 45373\n87016 100000\n99818 100000\n49819 74683\n48032 71993\n63996 95978\n32901 49214\n75645 100000\n24025 35956\n99880 100000\n6634 9880\n82238 100000\n40480 60640\n15106 22568\n76257 100000\n79043 100000\n77846 100000\n35737 53487\n51588 77331\n97242 100000\n34646 51830\n32833 49106\n35909 53754\n26846 40179\n32596 48753\n84290 100000\n21040 31461\n28929 43248\n30453 45547\n33568 50210\n67735 100000\n73279 100000\n58674 87956\n85605 100000\n17378 25971\n70741 100000\n40866 61250\n55112 82597\n43369 64990\n54460 81636\n80250 100000\n15657 23406\n11018 16443\n6065 9039\n78659 100000\n51535 77250\n15801 23622\n41612 62354\n63727 95559\n77343 100000\n10828 16151\n49441 74114\n55635 83376\n49798 74653\n30610 45789\n98520 100000\n53512 80217\n4489 6678\n57670 86441\n53981 80921\n2069 3101\n89429 100000\n75749 100000\n6256 9331\n11666 17439\n57817 86660\n46875 70249\n65798 98690\n6069 9045\n25614 38336\n98745 100000\n22360 33468\n53846 80723\n34637 51820\n31961 47828\n26052 38987\n5529 8239\n83239 100000\n70443 100000\n82713 100000\n7003 10443\n25566 38265\n6696 9970\n50455 75630\n77363 100000\n52175 78207\n72360 100000\n84357 100000\n70373 100000\n93342 100000\n66700 100000\n13677 20440\n31607 47293\n72881 100000\n38136 57116\n98643 100000\n27489 41122\n65188 97762\n95924 100000\n56439 84591\n39686 59447\n15034 22464\n89103 100000\n78933 100000\n21541 32221\n41357 61975\n25697 38462\n64727 97060\n70369 100000\n47909 71811\n43378 65006\n13012 19455\n45287 67848\n87825 100000\n95302 100000\n33762 50503\n74242 100000\n25936 38817\n19900 29751\n52634 78897\n38415 57544\n87171 100000\n84509 100000\n78805 100000\n94587 100000\n81458 100000\n80753 100000\n11804 17650\n51209 76767\n74268 100000\n39876 59736\n37950 56833\n45736 68521\n13806 20639\n27883 41701\n90210 100000\n69247 100000\n17630 26347\n39433 59081\n93899 100000\n86086 100000\n19030 28453\n5687 8461\n30316 45340\n95879 100000\n99313 100000\n88883 100000\n82613 100000\n31700 47434\n78637 100000\n72929 100000\n54827 82182\n85611 100000\n67264 100000\n24254 36303\n59245 88801\n98214 100000\n20567 30753\n30847 46157\n92607 100000\n57169 85679\n41945 62855\n95300 100000\n13088 19573\n46833 70184\n97606 100000\n62972 94443\n3507 5209\n69749 100000\n28208 42192\n50823 76184\n14197 21209\n35666 53375\n84514 100000\n90152 100000\n75828 100000\n64430 96618\n20090 30026\n15984 23903\n22063 33009\n71527 100000\n26754 40048\n2904 4335\n4094 6078\n71479 100000\n95107 100000\n73609 100000\n99682 100000\n19443 29073\n19818 29635\n60832 91229\n87622 100000\n29426 43997\n34099 51011\n56486 84666\n47245 70813\n76270 100000\n43332 64933\n31206 46683\n95315 100000\n30710 45940\n1682 2507\n17660 26398\n23774 35576\n26040 38970\n32343 48396\n20406 30511\n49721 74534\n47116 70617\n91179 100000\n37085 55541\n47463 71139\n83675 100000\n93150 100000\n29532 44158\n14694 21952\n62450 93661\n22746 34043\n3904 5798\n51881 77766\n43246 64799\n2527 3785\n77627 100000\n97732 100000\n27105 40563\n52854 79244\n19986 29878\n54436 81598\n76607 100000\n8111 12071\n96955 100000\n52223 78280\n14041 20983\n37743 56530\n12271 18363\n86585 100000\n94057 100000\n39057 58497\n12192 18239\n3509 5212\n65497 98247\n53382 80026\n9042 13487\n83107 100000\n93736 100000\n43257 64816\n34414 51497\n29501 44111\n66279 99414\n78318 100000\n15784 23597\n70840 100000\n51233 76803\n87273 100000\n6210 9262\n1988 2981\n57913 86810\n51971 77906\n69339 100000\n18194 27196\n21077 31517\n27147 40628\n354 518\n84111 100000\n9577 14289\n82812 100000\n45849 68688\n36209 54221\n96606 100000\n30520 45647\n8079 12021\n29914 44743\n29958 44809\n691 1036\n61021 91508\n17347 25924\n91786 100000\n4074 6049\n30868 46190\n63477 95197\n5105 7603\n40527 60720\n23797 35611\n95003 100000\n69994 100000\n8097 12050\n56870 85247\n91827 100000\n68842 100000\n38453 57604\n8960 13364\n72399 100000\n72394 100000\n88962 100000\n32330 48376\n69013 100000\n52173 78204\n44581 66782\n90141 100000\n27199 40702\n70953 100000\n98168 100000\n48610 72849\n16175 24181\n39335 58924\n51696 77495\n16863 25194\n35415 52988\n32812 49075\n16820 25129\n81256 100000\n17596 26296\n79320 100000\n96065 100000\n94218 100000\n38831 58161\n97265 100000\n75143 100000\n51841 77709\n9330 13911\n83823 100000\n25869 38719\n57807 86643\n87363 100000\n95894 100000\n15019 22441\n27774 41539\n70345 100000\n54764 82087\n18968 28358\n37496 56165\n66475 99710\n52796 79157\n8586 12796\n36788 55098\n59220 88762\n77429 100000\n21239 31767\n25748 38534\n66668 99999\n50206 75256\n97239 100000\n30323 45350\n82673 100000\n55048 82507\n1635 2431\n45999 68916\n46623 69866\n55059 82523\n60382 90543\n90291 100000\n69879 100000\n58073 87048\n28122 42061\n83511 100000\n46655 69912\n41810 62647\n68892 100000\n60681 91002\n36936 55310\n2173 3255\n55377 82997\n80459 100000\n43667 65441\n22705 33980\n59715 89520\n81666 100000\n34844 52125\n58426 87580\n10341 15433\n37393 56010\n33877 50674\n17334 25902\n34214 51182\n72902 100000\n73398 100000\n31653 47361\n12421 18577\n79696 100000\n32822 49090\n60569 90831\n27257 40786\n67976 100000\n71259 100000\n23482 35149\n79632 100000\n27933 41774\n17700 26460\n72005 100000\n55861 83721\n74411 100000\n16958 25340\n80095 100000\n1577 2353\n9317 13891\n78194 100000\n18542 27719\n35465 53074\n23579 35293\n4476 6656\n44869 67201\n86777 100000\n3542 5264\n40383 60497\n2057 3081\n96228 100000\n29298 43801\n29492 44095\n92569 100000\n28571 42718\n99400 100000\n56305 84390\n74924 100000\n67605 100000\n81706 100000\n82547 100000\n33497 50106\n67715 100000\n63024 94522\n83299 100000\n2038 3055\n44240 66290\n88056 100000\n79049 100000\n54260 81339\n58361 87481\n54839 82200\n71209 100000\n12148 18177\n73042 100000\n49744 74569\n98372 100000\n55054 82516\n48170 72202\n48733 73027\n68993 100000\n10365 15469\n96784 100000\n60307 90431\n75093 100000\n25760 38554\n91918 100000\n68787 100000\n42426 63575\n1967 2944\n53121 79639\n97410 100000\n94775 100000\n27958 41811\n53304 79913\n21196 31699\n72247 100000\n88473 100000\n24688 36959\n88220 100000\n82614 100000\n43763 65585\n93967 100000\n46228 69262\n35183 52636\n43698 65489\n71737 100000\n70343 100000\n21596 32302\n13030 19483\n98260 100000\n82251 100000\n30133 45073\n64874 97283\n3906 5800\n97219 100000\n19404 29017\n10083 15049\n98579 100000\n84763 100000\n79009 100000\n35369 52917\n28478 42589\n55972 83889\n60201 90266\n58120 87117\n92765 100000\n52551 78772\n70934 100000\n64123 96157\n1265 1891\n32907 49221\n43532 65244\n44562 66753\n43881 65765\n25441 38080\n86763 100000\n35806 53594\n32142 48097\n83874 100000\n16152 24150\n36894 55253\n3944 5859\n39011 58426\n32717 48931\n74565 100000\n34115 51036\n75982 100000\n14319 21393\n72278 100000\n16527 24704\n5986 8915\n14287 21347\n49683 74482\n11602 17342\n69659 100000\n30222 45204\n22368 33479\n78380 100000\n4396 6535\n24512 36700\n75984 100000\n97043 100000\n13348 19960\n89653 100000\n57107 85594\n19887 29735\n32068 47983\n93310 100000\n551 826\n41203 61758\n8150 12130\n84080 100000\n41630 62381\n81928 100000\n72438 100000\n40718 61020\n10494 15665\n84484 100000\n59948 89873\n82210 100000\n37180 55682\n47453 71124\n55800 83620\n53360 79993\n49306 73902\n22147 33141\n99262 100000\n56610 84852\n32152 48112\n87287 100000\n19822 29642\n66239 99356\n42478 63651\n39732 59518\n2653 3969\n17940 26820\n30402 45468\n14265 21312\n89777 100000\n36360 54446\n26640 39881\n63254 94870\n76103 100000\n39765 59565\n97922 100000\n87982 100000\n41344 61954\n5088 7578\n14480 21631\n44326 66413\n15395 23000\n80067 100000\n15320 22889\n41427 62083\n90889 100000\n1781 2661\n34813 52079\n88564 100000\n23318 34909\n47552 71274\n94289 100000\n2457 3678\n59935 89853\n83431 100000\n22524 33709\n95147 100000\n97491 100000\n9999 14927\n47811 71660\n98035 100000\n38545 57740\n89640 100000\n68532 100000\n3895 5786\n1707 2545\n82217 100000\n78108 100000\n10715 15984\n99748 100000\n13942 20836\n16736 25006\n56772 85094\n27222 40738\n54916 82310\n19647 29381\n43103 64590\n60591 90862\n9304 13872\n12245 18321\n16169 24171\n1067 1598\n77533 100000\n52327 78434\n97623 100000\n56595 84827\n33412 49973\n16564 24755\n38813 58135\n95902 100000\n77709 100000\n93068 100000\n85876 100000\n44130 66133\n58836 88199\n83981 100000\n92254 100000\n9755 14556\n42555 63766\n50315 75423\n86868 100000\n3609 5361\n60303 90424\n53824 80692\n94604 100000\n27384 40971\n94899 100000\n5676 8446\n44599 66809\n90411 100000\n16648 24877\n68940 100000\n91043 100000\n33441 50020\n12088 18090\n94157 100000\n14392 21498\n32016 47908\n97359 100000\n91978 100000\n83489 100000\n77146 100000\n86627 100000\n79068 100000\n931 1395\n86222 100000\n43319 64914\n80409 100000\n54844 82206\n37834 56660\n70693 100000\n61035 91530\n92774 100000\n15548 23242\n58593 87828\n75195 100000\n71694 100000\n12226 18288\n40491 60659\n55911 83798\n94855 100000\n20981 31372\n54982 82412\n81414 100000\n55229 82774\n30501 45617\n43010 64454\n788 1181\n27606 41296\n6369 9493\n38968 58360\n26703 39973\n15554 23249\n68117 100000\n32099 48033\n16860 25190\n44161 66182\n1017 1522\n86683 100000\n68162 100000\n53789 80638\n29434 44007\n36861 55211\n90439 100000\n74018 100000\n24428 36572\n43211 64741\n62087 93133\n61158 91715\n84550 100000\n20819 31133\n87878 100000\n39805 59629\n99961 100000\n24097 36061\n42119 63117\n87568 100000\n69763 100000\n82622 100000\n22473 33632\n33195 49655\n6085 9070\n66607 99909\n7671 11440\n11170 16668\n66836 100000\n87178 100000\n67187 100000\n48947 73359\n40074 60030\n76578 100000\n60046 90029\n40644 60901\n47106 70603\n36604 54818\n28674 42874\n28534 42667\n76867 100000\n7871 11727\n70184 100000\n64609 96883\n82085 100000\n9193 13706\n63607 95382\n2295 3434\n56434 84585\n67818 100000\n11829 17689\n83388 100000\n17789 26593\n46925 70325\n90553 100000\n70859 100000\n68597 100000\n66139 99204\n14574 21771\n77088 100000\n25750 38537\n85396 100000\n13401 20035\n97905 100000\n46247 69289\n5021 7474\n13158 19682\n39431 59077\n93227 100000\n10938 16320\n73444 100000\n71005 100000\n44107 66097\n62868 94288\n85525 100000\n68955 100000\n70101 100000\n63869 95784\n10175 15179\n56065 84021\n89757 100000\n45555 68245\n61186 91755\n17999 26906\n44982 67380\n17936 26815\n1284 1925\n19780 29580\n33622 50290\n82906 100000\n59646 89416\n51554 77283\n89274 100000\n7353 10965\n28471 42579\n9723 14507\n79478 100000\n93568 100000\n26015 38938\n14680 21932\n15112 22576\n73703 100000\n93425 100000\n12475 18653\n47686 71467\n83894 100000\n7889 11752\n99723 100000\n31495 47129\n98262 100000\n54535 81752\n67589 100000\n95769 100000\n24070 36023\n287 422\n84405 100000\n11165 16661\n13322 19923\n6808 10141\n51568 77303\n51776 77611\n24566 36781\n24657 36915\n64629 96914\n35103 52515\n4323 6427\n31651 47358\n65728 98587\n54963 82384\n6543 9752\n14013 20943\n14548 21731\n92440 100000\n75257 100000\n69402 100000\n62658 93973\n13492 20176\n51332 76950\n48110 72112\n46492 69669\n28195 42169\n25195 37711\n86877 100000\n21801 32613\n11257 16807\n74407 100000\n20862 31197\n41726 62522\n99751 100000\n37311 55882\n56680 84956\n19179 28678\n78222 100000\n35070 52469\n49211 73764\n25793 38608\n8340 12414\n59959 89891\n62408 93601\n55781 83592\n11430 17063\n92379 100000\n65170 97735\n73902 100000\n72622 100000\n7085 10562\n83181 100000\n97836 100000\n1250 1869\n71539 100000\n12064 18057\n8013 11927\n84109 100000\n78693 100000\n40882 61276\n41439 62103\n42022 62974\n16679 24920\n37733 56517\n66007 99006\n17707 26470\n26585 39796\n87567 100000\n91813 100000\n18323 27392\n46017 68947\n16835 25151\n25356 37952\n16966 25352\n2501 3746\n71772 100000\n40140 60130\n69638 100000\n28398 42475\n15010 22427\n45309 67881\n21589 32293\n40429 60567\n17816 26639\n58118 87113\n47636 71393\n90532 100000\n84527 100000\n34694 51905\n55074 82544\n28817 43090\n56765 85084\n48719 73007\n74705 100000\n91952 100000\n91517 100000\n31073 46486\n37538 56229\n24997 37416\n28139 42087\n47939 71859\n12316 18423\n95984 100000\n16367 24462\n58616 87863\n52951 79395\n5207 7760\n96656 100000\n53611 80368\n44280 66342\n22505 33683\n46016 68945\n11037 16472\n64818 97199\n56335 84435\n66237 99353\n87319 100000\n34151 51088\n59 88\n11395 17009\n81328 100000\n39516 59206\n95096 100000\n32275 48297\n77200 100000\n25985 38894\n13648 20401\n77664 100000\n85 127\n34317 51344\n87260 100000\n86364 100000\n35408 52975\n49733 74553\n10973 16374\n57177 85690\n94755 100000\n38389 57503\n80458 100000\n10219 15247\n62531 93781\n55482 83154\n34441 51534\n91034 100000\n58964 88384\n36330 54400\n36756 55049\n43366 64986\n71461 100000\n91028 100000\n4841 7198\n63199 94787\n86484 100000\n61705 92558\n89113 100000\n36677 54931\n57433 86078\n53576 80314\n9848 14700\n46487 69662\n56240 84293\n54207 81260\n30620 45805\n45916 68788\n23439 35082\n81703 100000\n29013 43377\n83910 100000\n37457 56107\n32461 48568\n66972 100000\n89029 100000\n74306 100000\n69978 100000\n84369 100000\n20024 29930\n43442 65107\n60061 90052\n64942 97385\n22709 33988\n21522 32191\n76811 100000\n27054 40482\n80132 100000\n35689 53411\n54581 81815\n58482 87663\n18414 27523\n81863 100000\n35519 53159\n75367 100000\n17652 26383\n77537 100000\n83463 100000\n59207 88744\n94508 100000\n3946 5862\n27921 41757\n1297 1943\n88147 100000\n20163 30132\n19231 28757\n70867 100000\n83228 100000\n6363 9486\n74398 100000\n42556 63767\n7202 10738\n55795 83613\n28002 41878\n3187 4749\n54862 82234\n78851 100000\n93111 100000\n89955 100000\n48122 72132\n92374 100000\n43076 64552\n90454 100000\n75023 100000\n7961 11852\n39679 59437\n45834 68664\n41958 62877\n93564 100000\n2897 4326\n821 1229\n93962 100000\n57087 85563\n89763 100000\n61877 92817\n16724 24988\n70882 100000\n70414 100000\n42956 64374\n85894 100000\n25814 38639\n92747 100000\n23551 35251\n32107 48044\n7619 11362\n5341 7954\n25706 38477\n86133 100000\n53622 80384\n86702 100000\n37140 55621\n85594 100000\n75815 100000\n48716 73003\n2832 4226\n12572 18796\n29648 44338\n29339 43863\n87554 100000\n6399 9539\n71570 100000\n49572 74314\n76696 100000\n76385 100000\n8912 13291\n11892 17788\n6612 9846\n31347 46902\n9384 13995\n95452 100000\n81280 100000\n95662 100000\n78681 100000\n35010 52381\n23631 35368\n60367 90520\n80314 100000\n47617 71369\n84476 100000\n63541 95289\n17407 26016\n96914 100000\n44455 66598\n86578 100000\n51798 77645\n63712 95536\n34017 50887\n9811 14643\n36048 53962\n26300 39372\n58415 87564\n46590 69812\n59299 88889\n26114 39087\n10487 15657\n24875 37234\n48991 73423\n72339 100000\n84454 100000\n70150 100000\n3392 5043\n54326 81433\n81249 100000\n42969 64392\n29220 43688\n53564 80295\n44180 66212\n10654 15892\n49434 74104\n39379 58996\n29028 43401\n56611 84853\n92804 100000\n19057 28495\n33310 49823\n26756 40051\n21993 32905\n87674 100000\n35900 53739\n52 77\n85662 100000\n81694 100000\n61105 91633\n6162 9192\n70791 100000\n52832 79211\n33744 50477\n41679 62452\n54534 81751\n39699 59469\n75861 100000\n92019 100000\n2681 4006\n12333 18447\n7982 11883\n27323 40882\n26220 39249\n73688 100000\n74908 100000\n83298 100000\n46869 70242\n27721 41463\n79255 100000\n98954 100000\n24055 36000\n4321 6423\n18266 27303\n97310 100000\n10145 15137\n54227 81288\n34191 51145\n75480 100000\n94727 100000\n26507 39678\n86061 100000\n41626 62375\n64781 97144\n92773 100000\n85069 100000\n69350 100000\n87899 100000\n84213 100000\n57026 85474\n43803 65644\n88236 100000\n49791 74642\n92863 100000\n2017 3023\n33923 50748\n49368 74002\n36005 53897\n97554 100000\n76893 100000\n35987 53869\n3593 5339\n65308 97954\n54163 81195\n1515 2258\n92301 100000\n46896 70281\n73021 100000\n98991 100000\n70070 100000\n91041 100000\n95705 100000\n77607 100000\n6078 9059\n64572 96828\n4126 6133\n87758 100000\n13546 20254\n93596 100000\n62840 94245\n56804 85145\n6504 9695\n94807 100000\n79592 100000\n85427 100000\n26813 40136\n42903 64286\n81831 100000\n91303 100000\n43293 64875\n29588 44245\n66995 100000\n10780 16083\n38276 57325\n16681 24923\n84663 100000\n67515 100000\n82559 100000\n58408 87554\n92120 100000\n64587 96847\n48769 73085\n78873 100000\n67600 100000\n8686 12943\n2862 4270\n1524 2273\n42649 63902\n83645 100000\n36303 54359\n30361 45409\n99016 100000\n3956 5877\n95578 100000\n97925 100000\n13828 20670\n2713 4050\n51803 77653\n24415 36553\n70509 100000\n3945 5860\n71525 100000\n62876 94298\n51558 77289\n50253 75328\n18613 27818\n8213 12223\n92278 100000\n37778 56582\n40913 61320\n43047 64512\n10976 16378\n65944 98909\n65686 98524\n87910 100000\n88000 100000\n19802 29612\n12863 19237\n84612 100000\n79425 100000\n5669 8437\n26120 39098\n27112 40576\n63651 95444\n52498 78695\n11095 16557\n30850 46161\n97799 100000\n12336 18451\n44160 66181\n90897 100000\n96613 100000\n22167 33169\n37551 56246\n69104 100000\n48601 72837\n28518 42645\n41691 62470\n56480 84658\n25730 38509\n40663 60934\n91886 100000\n66380 99569\n80114 100000\n25501 38169\n4587 6821\n57209 85741\n96395 100000\n47159 70684\n62223 93333\n82591 100000\n31946 47807\n12387 18528\n59104 88589\n94643 100000\n17633 26351\n69209 100000\n2503 3749\n55772 83578\n37942 56822\n12804 19151\n85175 100000\n62716 94056\n33352 49886\n76307 100000\n19039 28466\n57187 85706\n96923 100000\n85735 100000\n40855 61235\n57758 86571\n93285 100000\n6253 9327\n31952 47814\n13759 20568\n17870 26727\n4264 6341\n62547 93805\n87922 100000\n73422 100000\n56898 85288\n18119 27085\n32399 48475\n67255 100000\n32081 48004\n92025 100000\n46708 69996\n57811 86649\n45262 67809\n58449 87614\n24007 35929\n40451 60600\n58358 87476\n69985 100000\n94733 100000\n56308 84394\n17335 25903\n5139 7652\n87360 100000\n24329 36416\n27270 40803\n34144 51078\n14124 21106\n64812 97191\n79158 100000\n48293 72378\n81589 100000\n83631 100000\n34672 51868\n79342 100000\n72164 100000\n53042 79531\n27963 41821\n12295 18398\n59321 88916\n10306 15376\n96888 100000\n99756 100000\n858 1285\n96327 100000\n67593 100000\n52341 78452\n26945 40325\n99581 100000\n2293 3431\n31119 46552\n83691 100000\n33705 50416\n81669 100000\n2154 3225\n80365 100000\n46302 69375\n16502 24665\n93982 100000\n10120 15105\n21623 32345\n49302 73896\n49488 74185\n23415 35047\n54400 81546\n77997 100000\n77578 100000\n15366 22956\n23114 34599\n22383 33505\n13021 19469\n13573 20298\n19591 29302\n14512 21680\n82021 100000\n63620 95399\n72887 100000\n13232 19786\n58916 88308\n83933 100000\n79413 100000\n81569 100000\n32466 48575\n77523 100000\n91321 100000\n8401 12503\n90096 100000\n92477 100000\n71298 100000\n78632 100000\n31323 46865\n2024 3031\n73412 100000\n57523 86215\n63959 95922\n87591 100000\n15486 23143\n16597 24803\n97331 100000\n90938 100000\n27379 40964\n36921 55292\n31825 47625\n95246 100000\n95824 100000\n60884 91304\n62583 93857\n72020 100000\n11684 17466\n16373 24469\n51677 77463\n84096 100000\n90793 100000\n53569 80304\n70391 100000\n28945 43272\n75785 100000\n74299 100000\n14193 21203\n67045 100000\n80060 100000\n88554 100000\n19941 29815\n53169 79706\n7615 11356\n73679 100000\n43027 64481\n6944 10350\n96500 100000\n22284 33347\n44108 66099\n43400 65041\n80191 100000\n17969 26860\n76850 100000\n32384 48452\n15540 23228\n26579 39789\n20850 31180\n17362 25949\n29440 44017\n11580 17302\n75304 100000\n11217 16742\n25696 38461\n1453 2175\n40307 60383\n59913 89817\n81308 100000\n3133 4666\n60131 90159\n53912 80818\n92690 100000\n41098 61598\n99678 100000\n81616 100000\n53575 80313\n25432 38066\n80505 100000\n27175 40668\n21470 32113\n76375 100000\n72993 100000\n72356 100000\n35090 52497\n47302 70900\n21923 32804\n57179 85693\n17606 26312\n88930 100000\n71285 100000\n49227 73786\n46728 70026\n26367 39477\n58675 87957\n16841 25160\n76164 100000\n58513 87714\n81083 100000\n4017 5967\n43139 64641\n27981 41845\n56849 85212\n45615 68336\n86495 100000\n56061 84016\n36276 54321\n94550 100000\n30431 45514\n49643 74421\n76768 100000\n68608 100000\n98196 100000\n49377 74014\n9078 13537\n37831 56654\n72903 100000\n38486 57652\n19222 28743\n85146 100000\n47100 70592\n35988 53871\n6459 9626\n20600 30802\n7752 11555\n33348 49880\n85023 100000\n5445 8115\n42080 63060\n44333 66423\n1263 1889\n44789 67084\n66654 99978\n60443 90635\n78188 100000\n12956 19374\n70499 100000\n80293 100000\n36178 54172\n35059 52454\n40803 61155\n38341 57430\n44197 66233\n45374 67979\n69693 100000\n17997 26903\n63084 94616\n53285 79882\n418 620\n47752 71569\n13166 19694\n1619 2407\n91431 100000\n3414 5072\n17264 25793\n39793 59610\n42319 63411\n1812 2706\n75111 100000\n14417 21534\n4819 7166\n31370 46937\n71194 100000\n25856 38701\n69641 100000\n20852 31183\n85960 100000\n93372 100000\n29399 43954\n41565 62287\n41803 62636\n12880 19262\n8378 12473\n61136 91681\n93097 100000\n5487 8177\n28166 42128\n37610 56335\n28104 42035\n92670 100000\n585 875\n96420 100000\n4464 6638\n16864 25196\n56802 85142\n43509 65209\n74472 100000\n65380 98067\n40886 61281\n79235 100000\n75927 100000\n83145 100000\n85930 100000\n45634 68365\n90753 100000\n81061 100000\n79593 100000\n68817 100000\n9882 14751\n71945 100000\n67873 100000\n7075 10546\n32863 49154\n30464 45564\n62724 94069\n70518 100000\n24035 35969\n98587 100000\n39000 58409\n59308 88900\n37454 56101\n48305 72395\n12099 18106\n35842 53648\n17895 26759\n76840 100000\n38425 57559\n58731 88037\n37358 55952\n35801 53585\n50649 75910\n51145 76667\n62410 93604\n12191 18238\n2886 4310\n80719 100000\n55343 82945\n56648 84906\n37671 56426\n73987 100000\n98018 100000\n13951 20850\n83996 100000\n28369 42433\n16765 25050\n83199 100000\n87707 100000\n85971 100000\n44815 67118\n57057 85522\n25621 38346\n30986 46362\n36019 53916\n93493 100000\n68310 100000\n4445 6612\n26066 39009\n49022 73468\n61764 92646\n94479 100000\n90955 100000\n75345 100000\n58533 87740\n70644 100000\n13698 20472\n92659 100000\n77372 100000\n15878 23740\n64355 96504\n22432 33573\n97123 100000\n83650 100000\n52196 78240\n23959 35855\n46886 70266\n23905 35777\n69070 100000\n89953 100000\n60816 91204\n80177 100000\n97256 100000\n56754 85068\n2138 3201\n46299 69370\n60068 90063\n76120 100000\n3919 5819\n45424 68050\n67467 100000\n34086 50990\n66304 99452\n41435 62096\n67567 100000\n44755 67036\n23123 34613\n6506 9698\n68960 100000\n71971 100000\n95243 100000\n22537 33730\n59596 89337\n33466 50058\n29322 43836\n39849 59695\n37887 56743\n88622 100000\n94750 100000\n38252 57289\n26850 40185\n29158 43594\n22823 34164\n8613 12836\n58255 87321\n8818 13146\n91889 100000\n97588 100000\n82670 100000\n98101 100000\n7831 11665\n77961 100000\n59785 89632\n56923 85324\n4509 6707\n77203 100000\n14585 21786\n78977 100000\n23939 35830\n83739 100000\n97874 100000\n52316 78419\n6458 9625\n30580 45740\n93994 100000\n1894 2837\n28187 42157\n37280 55832\n91397 100000\n1585 2363\n42934 64339\n56405 84540\n11739 17551\n92153 100000\n84562 100000\n18826 28146\n70082 100000\n95373 100000\n79136 100000\n68634 100000\n31577 47252\n98059 100000\n37871 56717\n66120 99178\n35064 52461\n13915 20798\n74186 100000\n42171 63194\n25924 38799\n45617 68339\n54864 82238\n27821 41612\n67918 100000\n62999 94483\n62562 93828\n77550 100000\n73897 100000\n91 134\n91392 100000\n35630 53324\n51484 77172\n54263 81344\n84531 100000\n7005 10445\n63062 94579\n81085 100000\n12832 19191\n13215 19762\n2313 3463\n54346 81466\n64771 97127\n99309 100000\n52365 78489\n39508 59194\n90308 100000\n41949 62861\n43719 65519\n67518 100000\n56313 84401\n87301 100000\n28920 43236\n78861 100000\n73492 100000\n21151 31633\n47663 71433\n80854 100000\n74494 100000\n92408 100000\n55873 83737\n36425 54543\n99883 100000\n85653 100000\n58799 88143\n33511 50127\n12172 18211\n37978 56875\n43751 65570\n63540 95287\n60125 90149\n93952 100000\n90657 100000\n32636 48812\n8934 13325\n84916 100000\n52716 79028\n36044 53954\n76091 100000\n99997 100000\n58303 87398\n63822 95709\n28001 41876\n87391 100000\n55350 82956\n31817 47614\n67381 100000\n27224 40741\n95823 100000\n6140 9156\n48416 72560\n91114 100000\n56757 85074\n83857 100000\n43401 65043\n53489 80182\n16051 24000\n3765 5598\n9881 14749\n63864 95777\n15751 23547\n18684 27935\n30996 46376\n21897 32766\n14520 21690\n15429 23056\n46641 69890\n40378 60490\n3429 5093\n38721 57999\n18490 27639\n64940 97382\n65274 97896\n10140 15132\n14745 22029\n60901 91328\n32875 49173\n93861 100000\n56705 84992\n48890 73272\n77066 100000\n46961 70384\n44853 67178\n18693 27949\n35949 53811\n15172 22664\n76359 100000\n40872 61259\n75385 100000\n10440 15591\n25903 38767\n48237 72295\n87477 100000\n98621 100000\n46827 70177\n44274 66335\n84386 100000\n14094 21060\n99963 100000\n66631 99944\n12012 17973\n66204 99302\n91643 100000\n81564 100000\n86556 100000\n18592 27792\n76680 100000\n56382 84507\n66731 100000\n9351 13944\n15826 23662\n23601 35325\n37125 55600\n85839 100000\n4945 7354\n2028 3038\n81087 100000\n59035 88489\n84927 100000\n2759 4112\n53904 80807\n84123 100000\n52793 79152\n71898 100000\n51669 77453\n57226 85764\n31050 46453\n26691 39957\n44819 67124\n63670 95472\n93870 100000\n68957 100000\n83327 100000\n13653 20406\n45 66\n57345 85942\n57148 85651\n8890 13256\n46907 70300\n5612 8355\n29142 43567\n96927 100000\n74384 100000\n20914 31273\n67031 100000\n32983 49332\n76952 100000\n11565 17280\n55300 82882\n65476 98216\n28988 43338\n37524 56206\n72872 100000\n17033 25450\n1677 2499\n67808 100000\n88208 100000\n18423 27536\n43560 65282\n65531 98296\n48737 73032\n43900 65796\n10003 14933\n16002 23927\n93534 100000\n31545 47201\n86943 100000\n37621 56352\n99858 100000\n62847 94257\n97748 100000\n47213 70769\n53764 80602\n27275 40809\n52962 79414\n77048 100000\n46885 70265\n89450 100000\n79267 100000\n84672 100000\n24064 36013\n34005 50869\n74931 100000\n22561 33767\n18675 27919\n49748 74575\n16466 24609\n79545 100000\n67821 100000\n9155 13651\n38751 58047\n86544 100000\n99519 100000\n21056 31484\n49758 74589\n78699 100000\n69727 100000\n4274 6355\n42834 64179\n37499 56169\n85507 100000\n18466 27602\n35209 52680\n88121 100000\n69901 100000\n51903 77800\n91549 100000\n18048 26979\n95906 100000\n87327 100000\n7436 11089\n54519 81727\n67102 100000\n56050 84000\n41316 61911\n34351 51396\n38277 57327\n76397 100000\n44630 66849\n62113 93170\n71690 100000\n75056 100000\n99004 100000\n90650 100000\n16872 25209\n55405 83036\n37443 56081\n15577 23284\n20279 30309\n5880 8759\n84668 100000\n63380 95052\n4125 6132\n85513 100000\n44463 66607\n89106 100000\n73770 100000\n10017 14955\n47819 71674\n28908 43218\n66378 99567\n20066 29991\n1957 2931\n7001 10440\n71791 100000\n37944 56824\n4021 5972\n72117 100000\n5906 8800\n79914 100000\n97076 100000\n87762 100000\n61331 91991\n66611 99915\n32009 47897\n79126 100000\n19382 28987\n7368 10989\n19283 28837\n37801 56613\n83132 100000\n77927 100000\n41901 62787\n58975 88400\n57054 85518\n61210 91793\n73215 100000\n94066 100000\n65886 98818\n42886 64260\n55692 83457\n43972 65897\n65487 98231\n86679 100000\n81036 100000\n44570 66767\n46794 70123\n85168 100000\n71040 100000\n25542 38225\n77911 100000\n89066 100000\n38952 58336\n84356 100000\n61097 91623\n14427 21549\n37277 55828\n14109 21082\n66689 100000\n99874 100000\n54426 81584\n25424 38055\n63704 95525\n41867 62737\n51736 77554\n99374 100000\n11578 17299\n41522 62229\n70886 100000\n59640 89409\n79827 100000\n5003 7443\n28076 41991\n4351 6471\n12048 18033\n80460 100000\n12441 18603\n24484 36655\n94889 100000\n31826 47626\n29272 43762\n13732 20523\n67468 100000\n65266 97882\n40543 60747\n46811 70151\n94951 100000\n16124 24105\n60878 91294\n71192 100000\n81077 100000\n31498 47132\n13499 20188\n68007 100000\n53922 80834\n16129 24113\n37291 55851\n32865 49157\n72240 100000\n6130 9137\n37814 56631\n55049 82508\n45750 68543\n21028 31441\n88104 100000\n34736 51967\n5221 7778\n20277 30305\n91355 100000\n59956 89887\n51545 77267\n90264 100000\n34395 51470\n85099 100000\n72231 100000\n70389 100000\n93981 100000\n32160 48123\n86772 100000\n73510 100000\n36159 54140\n84752 100000\n5982 8908\n48112 72116\n32557 48697\n28942 43268\n19028 28450\n21005 31409\n94113 100000\n98963 100000\n15932 23826\n32524 48655\n15288 22840\n81701 100000\n54243 81313\n3538 5259\n41061 61545\n68312 100000\n51950 77873\n30170 45126\n29269 43757\n95975 100000\n94716 100000\n80214 100000\n40115 60093\n96329 100000\n40530 60723\n35894 53729\n77222 100000\n29464 44051\n49505 74212\n54955 82373\n69443 100000\n55731 83515\n17550 26231\n82098 100000\n23542 35237\n14219 21245\n93775 100000\n46563 69770\n19772 29570\n83406 100000\n6409 9554\n97774 100000\n64158 96212\n80346 100000\n94582 100000\n83989 100000\n73358 100000\n98618 100000\n6887 10267\n73635 100000\n43045 64509\n89010 100000\n62556 93818\n50929 76344\n96556 100000\n59202 88735\n30295 45312\n36708 54975\n52308 78406\n72571 100000\n45683 68440\n14104 21074\n22955 34371\n15597 23312\n52724 79040\n27874 41687\n94617 100000\n85734 100000\n62022 93033\n34105 51019\n95306 100000\n72613 100000\n4035 5995\n9233 13763\n93791 100000\n11508 17195\n49737 74557\n61392 92082\n79879 100000\n13353 19966\n86153 100000\n35035 52420\n33545 50176\n9581 14297\n80868 100000\n71891 100000\n31045 46444\n20617 30830\n89928 100000\n36823 55151\n27448 41063\n71605 100000\n12134 18156\n16023 23956\n89830 100000\n25579 38287\n76097 100000\n38311 57378\n90935 100000\n21951 32844\n16101 24075\n28869 43165\n6791 10116\n33164 49612\n7954 11843\n19974 29860\n88296 100000\n92211 100000\n2160 3235\n32347 48403\n70527 100000\n75772 100000\n55941 83844\n17474 26119\n56268 84331\n95474 100000\n83580 100000\n85905 100000\n17807 26625\n62249 93375\n22579 33793\n44627 66845\n1978 2964\n17216 25720\n85107 100000\n81883 100000\n84457 100000\n56525 84730\n58638 87898\n19162 28653\n90506 100000\n18786 28083\n65406 98107\n78727 100000\n61625 92432\n8269 12306\n79093 100000\n16031 23968\n22234 33269\n18091 27043\n56666 84934\n79811 100000\n78006 100000\n76380 100000\n44164 66186\n23694 35465\n35049 52439\n47725 71523\n22242 33283\n47073 70552\n94413 100000\n69335 100000\n96907 100000\n92291 100000\n36536 54710\n8107 12066\n61648 92464\n56974 85395\n86005 100000\n24679 36945\n52598 78841\n73642 100000\n95732 100000\n87456 100000\n72651 100000\n34284 51296\n91411 100000\n17373 25963\n13008 19449\n71390 100000\n8802 13121\n7340 10946\n41732 62530\n12418 18571\n52414 78566\n41360 61978\n94841 100000\n63518 95254\n88695 100000\n48026 71984\n23962 35861\n43086 64567\n91440 100000\n36552 54735\n89701 100000\n7608 11345\n59263 88833\n11990 17936\n41723 62519\n75661 100000\n31218 46697\n48908 73297\n46932 70334\n4770 7089\n38562 57764\n41899 62784\n11760 17584\n49095 73584\n71848 100000\n39046 58478\n85728 100000\n76604 100000\n51804 77654\n4286 6377\n49958 74896\n28470 42578\n10312 15385\n6060 9032\n54556 81782\n97409 100000\n80880 100000\n82583 100000\n55488 83164\n72795 100000\n77192 100000\n16108 24084\n53442 80112\n11144 16625\n96883 100000\n74296 100000\n13277 19851\n7292 10875\n95598 100000\n92859 100000\n72581 100000\n93586 100000\n57212 85744\n30259 45259\n66361 99539\n57627 86375\n60118 90139\n2539 3804\n70342 100000\n78326 100000\n31133 46572\n47771 71599\n91817 100000\n56494 84678\n91494 100000\n68594 100000\n20145 30108\n77683 100000\n31428 47026\n48392 72526\n14564 21759\n88445 100000\n15293 22850\n91111 100000\n35223 52698\n81015 100000\n25669 38419\n77870 100000\n49965 74907\n78322 100000\n19098 28558\n10710 15977\n95761 100000\n83426 100000\n54630 81883\n25654 38396\n4860 7227\n71329 100000\n71574 100000\n50113 75123\n77355 100000\n18591 27791\n4360 6485\n78115 100000\n70679 100000\n76898 100000\n56392 84522\n22694 33965\n86268 100000\n86022 100000\n49551 74282\n79513 100000\n37720 56499\n49337 73954\n33634 50309\n80058 100000\n84769 100000\n37228 55754\n98310 100000\n43229 64770\n5477 8163\n77453 100000\n41686 62461\n24752 37053\n36854 55201\n44959 67343\n44010 65953\n71933 100000\n72862 100000\n3714 5524\n56213 84253\n92962 100000\n2616 3914\n22695 33966\n69606 100000\n98625 100000\n63403 95084\n21281 31832\n58643 87904\n90107 100000\n87742 100000\n29725 44458\n78287 100000\n41087 61581\n41479 62163\n14601 21811\n72059 100000\n65878 98808\n9196 13709\n15642 23382\n43087 64568\n53210 79770\n79504 100000\n22690 33960\n55113 82599\n66619 99928\n7267 10832\n32586 48740\n13537 20240\n38281 57333\n54026 80987\n63015 94506\n22133 33121\n90762 100000\n29364 43902\n53970 80904\n575 860\n19906 29760\n32446 48544\n40594 60828\n63622 95403\n79636 100000\n78769 100000\n53462 80143\n54974 82399\n86583 100000\n26881 40230\n19097 28556\n64344 96485\n64247 96339\n70073 100000\n46183 69193\n42635 63883\n95710 100000\n26133 39119\n50307 75410\n5125 7632\n64895 97315\n9465 14118\n19530 29208\n35216 52689\n72367 100000\n94897 100000\n30042 44933\n54166 81200\n41349 61962\n1184 1769\n97844 100000\n67081 100000\n50421 75582\n22202 33219\n52901 79317\n20877 31217\n55121 82610\n25235 37772\n73220 100000\n25995 38909\n52165 78191\n22619 33855\n99403 100000\n8093 12042\n59632 89397\n8258 12290\n17637 26358\n13692 20463\n4341 6456\n6061 9033\n3131 4663\n35609 53293\n51754 77582\n36615 54834\n31104 46532\n52048 78015\n34756 51991\n99822 100000\n18912 28277\n33922 50747\n5836 8692\n70117 100000\n91279 100000\n13481 20160\n25382 37990\n88552 100000\n56826 85177\n24472 36639\n60214 90287\n60090 90094\n3251 4845\n29927 44763\n57293 85861\n61967 92953\n29630 44312\n50033 75009\n12365 18491\n20846 31174\n34628 51805\n22737 34031\n3330 4950\n49610 74372\n49131 73640\n75836 100000\n97095 100000\n77967 100000\n95603 100000\n48592 72821\n58417 87567\n59572 89297\n71639 100000\n28007 41887\n9133 13620\n24154 36148\n23972 35875\n75088 100000\n10999 16413\n65158 97716\n24754 37057\n88818 100000\n68321 100000\n24303 36374\n23045 34500\n35777 53548\n33182 49636\n92295 100000\n29502 44113\n54281 81371\n82030 100000\n23133 34624\n96416 100000\n96546 100000\n1547 2307\n97892 100000\n43894 65786\n60095 90101\n22439 33585\n12398 18543\n61340 92005\n39961 59862\n85452 100000\n91133 100000\n31601 47285\n34487 51601\n43032 64489\n26271 39324\n12757 19078\n76394 100000\n95740 100000\n30052 44949\n10002 14931\n33356 49892\n25883 38738\n11522 17215\n95249 100000\n79340 100000\n5984 8912\n70591 100000\n90184 100000\n93819 100000\n38538 57730\n65565 98346\n75511 100000\n13226 19779\n21019 31431\n29912 44740\n89131 100000\n70004 100000\n61169 91731\n45385 67993\n89278 100000\n48447 72606\n2390 3578\n9378 13986\n62533 93784\n77609 100000\n37394 56011\n65075 97582\n95763 100000\n52475 78662\n82215 100000\n24333 36422\n20108 30054\n58686 87972\n3212 4786\n31378 46949\n2997 4471\n91791 100000\n52434 78598\n18977 28370\n35881 53709\n90815 100000\n64320 96451\n28665 42859\n63510 95241\n72416 100000\n61824 92732\n19486 29140\n66734 100000\n11000 16415\n25942 38828\n3063 4566\n28120 42057\n68093 100000\n97850 100000\n83459 100000\n61167 91728\n55910 83796\n1217 1822\n16702 24955\n349 513\n18678 27924\n31785 47562\n44319 66402\n56047 83996\n84309 100000\n22221 33248\n7544 11250\n77010 100000\n61067 91579\n18864 28207\n64827 97215\n98123 100000\n25881 38736\n7850 11695\n59180 88704\n81732 100000\n83600 100000\n75996 100000\n35447 53042\n62356 93527\n90029 100000\n66159 99235\n93079 100000\n65408 98110\n2776 4135\n80832 100000\n69333 100000\n93286 100000\n85933 100000\n49560 74296\n51756 77584\n75084 100000\n23935 35823\n23782 35588\n39884 59747\n52972 79429\n49517 74229\n17017 25425\n75227 100000\n40347 60446\n39257 58804\n12823 19179\n41670 62440\n13161 19686\n81988 100000\n39133 58615\n35009 52379\n32949 49287\n74016 100000\n54485 81672\n68736 100000\n6182 9222\n71488 100000\n15125 22596\n45214 67736\n46119 69097\n70170 100000\n55768 83572\n76583 100000\n28340 42391\n68094 100000\n70442 100000\n10143 15135\n87483 100000\n90157 100000\n36829 55161\n17443 26073\n71895 100000\n38904 58267\n52985 79451\n9805 14633\n63769 95630\n70546 100000\n95681 100000\n38028 56954\n93046 100000\n75633 100000\n88507 100000\n96824 100000\n60875 91290\n84427 100000\n208 309\n93339 100000\n77858 100000\n42599 63825\n51482 77169\n10070 15032\n18543 27720\n97321 100000\n85055 100000\n99708 100000\n45087 67536\n59874 89761\n61559 92332\n1527 2277\n55713 83487\n4973 7400\n81749 100000\n81132 100000\n4295 6390\n64468 96674\n32797 49053\n71256 100000\n42752 64058\n48495 72680\n46331 69415\n56378 84500\n40767 61098\n94080 100000\n16641 24866\n79019 100000\n24659 36918\n74522 100000\n30910 46252\n61747 92624\n3606 5356\n83576 100000\n74168 100000\n64890 97307\n58065 87036\n47005 70448\n33099 49516\n49707 74513\n24804 37135\n86945 100000\n57314 85892\n64228 96314\n25629 38357\n35319 52836\n43281 64855\n41658 62422\n20404 30509\n55647 83391\n59134 88631\n34231 51209\n38379 57488\n20548 30721\n57461 86122\n26849 40184\n19302 28865\n55759 83558\n78616 100000\n29236 43710\n54737 82046\n3084 4597\n35221 52696\n18057 26992\n4835 7190\n2989 4458\n29111 43520\n8928 13315\n87048 100000\n82689 100000\n33867 50660\n48635 72887\n60533 90776\n47240 70807\n47183 70721\n40941 61362\n8366 12455\n46391 69511\n11810 17660\n48500 72688\n20121 30073\n80538 100000\n16232 24268\n47255 70828\n45662 68407\n93512 100000\n96435 100000\n36007 53899\n49438 74110\n3815 5668\n72462 100000\n3216 4793\n79469 100000\n82492 100000\n19935 29807\n84537 100000\n72704 100000\n59682 89470\n96453 100000\n65538 98307\n89042 100000\n48879 73252\n22480 33643\n55031 82483\n93188 100000\n62461 93677\n69094 100000\n39198 58715\n22961 34378\n22232 33266\n17771 26564\n19653 29391\n20209 30198\n63783 95653\n56842 85202\n74255 100000\n64700 97021\n73227 100000\n70946 100000\n30936 46291\n26808 40128\n26994 40396\n17882 26743\n36960 55349\n14678 21928\n58512 87712\n90279 100000\n94982 100000\n16625 24843\n12079 18077\n25326 37906\n47522 71228\n48976 73401\n20827 31144\n42785 64104\n84996 100000\n94062 100000\n12695 18984\n40302 60375\n26129 39112\n77924 100000\n14897 22264\n65086 97601\n13303 19891\n96987 100000\n26031 38958\n290 426\n95030 100000\n59042 88501\n3169 4721\n32693 48897\n80785 100000\n87818 100000\n65747 98618\n6420 9569\n61152 91707\n80847 100000\n67176 100000\n16727 24993\n62635 93939\n87918 100000\n16474 24624\n45022 67433\n13207 19752\n79231 100000\n45496 68157\n71311 100000\n89574 100000\n35414 52986\n67391 100000\n18644 27868\n50078 75074\n138 202\n91117 100000\n27470 41095\n38707 57979\n61040 91536\n77746 100000\n2207 3301\n64250 96344\n75496 100000\n4999 7438\n84701 100000\n55407 83040\n95564 100000\n98414 100000\n14330 21409\n35546 53203\n31493 47126\n66065 99092\n51536 77252\n36994 55398\n58470 87642\n77110 100000\n38995 58400\n55108 82591\n25863 38712\n75469 100000\n74583 100000\n29357 43893\n43490 65180\n267 395\n43036 64494\n62481 93706\n7617 11359\n73332 100000\n79229 100000\n95737 100000\n32612 48777\n73436 100000\n37536 56226\n50479 75665\n80226 100000\n22154 33152\n67800 100000\n66397 99593\n43341 64948\n59255 88818\n62434 93638\n69694 100000\n53718 80530\n36015 53911\n13805 20638\n83468 100000\n94126 100000\n11187 16695\n53954 80883\n51762 77592\n95260 100000\n80747 100000\n58776 88105\n34724 51947\n74799 100000\n63025 94524\n1833 2740\n75612 100000\n37749 56537\n83819 100000\n33156 49602\n32930 49254\n76816 100000\n52111 78108\n12429 18588\n81892 100000\n28460 42568\n96964 100000\n97873 100000\n62395 93581\n30815 46105\n35376 52928\n35080 52482\n79439 100000\n93022 100000\n70998 100000\n70909 100000\n29939 44780\n24654 36910\n14945 22335\n93968 100000\n46519 69706\n32236 48238\n73089 100000\n51479 77165\n56043 83991\n40798 61146\n36332 54403\n64854 97254\n80876 100000\n76611 100000\n75734 100000\n16261 24311\n8400 12502\n99237 100000\n65960 98934\n79042 100000\n27312 40863\n92631 100000\n72593 100000\n10068 15030\n71609 100000\n23577 35289\n16933 25302\n79455 100000\n18465 27600\n2869 4283\n74183 100000\n793 1187\n65575 98360\n81019 100000\n16395 24504\n68101 100000\n58224 87273\n79021 100000\n67553 100000\n92987 100000\n46223 69254\n69789 100000\n9623 14355\n25237 37774\n76597 100000\n50100 75105\n52096 78088\n81846 100000\n3743 5568\n94739 100000\n43508 65207\n33905 50719\n88435 100000\n66743 100000\n4605 6844\n92754 100000\n43902 65798\n62565 93831\n49057 73526\n82486 100000\n85519 100000\n54592 81831\n20183 30162\n1342 2007\n18891 28245\n74343 100000\n15541 23230\n74903 100000\n96714 100000\n50995 76445\n89523 100000\n11025 16453\n92208 100000\n15998 23923\n86850 100000\n43813 65658\n23980 35888\n29441 44019\n6706 9984\n80359 100000\n31477 47102\n5917 8816\n78143 100000\n71275 100000\n69852 100000\n46079 69035\n77721 100000\n11868 17755\n62617 93911\n73065 100000\n21090 31539\n15631 23363\n27814 41601\n34238 51222\n26230 39263\n89302 100000\n753 1126\n15630 23361\n57939 86848\n18205 27210\n95224 100000\n6208 9259\n76892 100000\n61143 91692\n6959 10375\n1459 2184\n56532 84740\n64440 96636\n889 1332\n11145 16626\n16950 25327\n40410 60538\n23874 35733\n27267 40800\n59712 89517\n24960 37355\n48338 72444\n49711 74519\n60243 90332\n29643 44331\n19385 28992\n93353 100000\n69342 100000\n77130 100000\n30593 45760\n15467 23116\n2604 3899\n86390 100000\n183 266\n32938 49267\n60678 90998\n76935 100000\n83193 100000\n26377 39490\n58931 88331\n81996 100000\n4137 6151\n90146 100000\n56546 84761\n10884 16243\n82451 100000\n97397 100000\n58035 86989\n99908 100000\n69526 100000\n46610 69844\n54794 82130\n22800 34128\n83350 100000\n19533 29212\n89965 100000\n41172 61712\n73008 100000\n11593 17325\n3892 5782\n51862 77739\n9962 14870\n81403 100000\n19924 29789\n12938 19346\n27214 40726\n46367 69473\n89691 100000\n52756 79090\n35177 52626\n16195 24212\n61038 91534\n26996 40398\n67055 100000\n43681 65464\n96016 100000\n32689 48891\n48852 73209\n29737 44474\n14927 22307\n74882 100000\n33025 49399\n60632 90925\n14847 22182\n44055 66019\n7451 11111\n45039 67458\n78029 100000\n62193 93287\n15495 23156\n72900 100000\n88618 100000\n10566 15770\n8432 12552\n29660 44357\n16602 24810\n71633 100000\n76285 100000\n75100 100000\n70730 100000\n35148 52584\n80043 100000\n92849 100000\n37797 56609\n94136 100000\n17239 25754\n17046 25471\n20428 30543\n96855 100000\n8662 12906\n10562 15764\n14416 21533\n67576 100000\n77667 100000\n68325 100000\n57804 86639\n14284 21343\n89142 100000\n6866 10234\n52521 78728\n7794 11612\n58523 87728\n1431 2142\n34177 51126\n81691 100000\n53583 80327\n86457 100000\n93886 100000\n70852 100000\n4013 5960\n45030 67445\n47128 70638\n10675 15924\n48679 72951\n49090 73575\n60311 90439\n63703 95524\n4527 6733\n61914 92872\n90003 100000\n33742 50475\n7940 11823\n29632 44315\n96587 100000\n64134 96174\n44073 66047\n86842 100000\n81966 100000\n40581 60809\n410 609\n39654 59401\n22972 34397\n97224 100000\n81362 100000\n55928 83826\n53093 79598\n30018 44901\n78327 100000\n41782 62605\n77012 100000\n58957 88374\n8091 12039\n9861 14719\n7082 10558\n85602 100000\n5075 7559\n58250 87315\n68067 100000\n70678 100000\n9224 13751\n69016 100000\n92344 100000\n96908 100000\n67453 100000\n75743 100000\n65637 98452\n35157 52599\n93287 100000\n32832 49104\n50655 75920\n1474 2202\n81133 100000\n96394 100000\n18895 28250\n60033 90006\n76969 100000\n53679 80471\n82775 100000\n91523 100000\n68232 100000\n45758 68555\n84770 100000\n82380 100000\n97777 100000\n32697 48902\n57357 85961\n70268 100000\n13101 19592\n14803 22116\n86458 100000\n49655 74436\n44864 67195\n60233 90316\n16589 24790\n75907 100000\n95777 100000\n25771 38573\n95367 100000\n41553 62272\n86117 100000\n84348 100000\n36118 54080\n20733 31006\n90025 100000\n94778 100000\n46050 68995\n84219 100000\n49953 74888\n10224 15255\n66522 99777\n90241 100000\n76589 100000\n55643 83386\n81906 100000\n49885 74785\n88623 100000\n5234 7793\n84167 100000\n36038 53944\n27653 41361\n41668 62438\n93471 100000\n34028 50904\n65297 97934\n46227 69261\n802 1200\n94455 100000\n72123 100000\n58476 87652\n21515 32178\n67824 100000\n26438 39580\n4991 7426\n44281 66344\n43276 64848\n43367 64987\n12999 19435\n28310 42341\n45133 67612\n15955 23861\n98956 100000\n79972 100000\n75360 100000\n49201 73750\n18875 28223\n49362 73992\n62594 93873\n10524 15706\n49635 74408\n83221 100000\n59966 89902\n38820 58146\n41667 62436\n51406 77062\n44037 65991\n85293 100000\n67471 100000\n34300 51319\n86813 100000\n19684 29435\n147 215\n23256 34813\n62990 94470\n71562 100000\n8620 12847\n64956 97405\n43558 65279\n2658 3976\n86521 100000\n79780 100000\n4584 6816\n65967 98945\n41054 61536\n82565 100000\n68937 100000\n1090 1632\n69366 100000\n43825 65680\n76389 100000\n4880 7256\n36768 55067\n86604 100000\n69958 100000\n52344 78455\n51462 77139\n22522 33706\n98109 100000\n81934 100000\n72632 100000\n94751 100000\n10478 15643\n77579 100000\n83451 100000\n63634 95419\n95422 100000\n84872 100000\n84034 100000\n53021 79504\n4992 7427\n43020 64470\n38324 57400\n60583 90850\n92010 100000\n66199 99295\n40219 60250\n41081 61573\n31508 47146\n98773 100000\n78784 100000\n53041 79530\n85117 100000\n88450 100000\n66305 99453\n19108 28574\n68615 100000\n76202 100000\n4586 6819\n99592 100000\n25847 38688\n12681 18964\n59847 89723\n21752 32535\n24524 36720\n20666 30905\n57901 86789\n43637 65400\n16435 24560\n2763 4116\n95791 100000\n88072 100000\n68197 100000\n78020 100000\n27863 41674\n49140 73656\n73656 100000\n60672 90989\n39532 59233\n47759 71580\n58719 88016\n83116 100000\n15277 22824\n56861 85232\n48453 72617\n82257 100000\n5230 7788\n46864 70234\n6600 9830\n87820 100000\n96880 100000\n51080 76570\n91042 100000\n7585 11308\n43540 65254\n83898 100000\n13798 20628\n17819 26643\n53242 79821\n90967 100000\n73620 100000\n60913 91348\n72994 100000\n31282 46800\n17190 25682\n79352 100000\n44886 67226\n40199 60218\n29535 44162\n80951 100000\n28184 42152\n41978 62908\n33042 49426\n89592 100000\n70063 100000\n61646 92462\n59516 89212\n92974 100000\n83986 100000\n61889 92837\n92002 100000\n21415 32027\n18234 27255\n83274 100000\n18707 27970\n51797 77644\n34775 52022\n82971 100000\n842 1263\n4184 6223\n87697 100000\n24692 36964\n26737 40024\n38521 57704\n87417 100000\n57269 85829\n29919 44752\n4146 6165\n50018 74987\n12515 18712\n27161 40647\n52926 79357\n91413 100000\n65915 98860\n21386 31986\n61006 91485\n45114 67581\n8355 12435\n89997 100000\n16895 25244\n51493 77185\n94275 100000\n69260 100000\n64141 96187\n15343 22923\n86953 100000\n65198 97777\n70579 100000\n77465 100000\n93505 100000\n95695 100000\n62343 93511\n12994 19428\n42828 64169\n58044 87005\n15455 23099\n43988 65921\n94279 100000\n63553 95307\n20233 30233\n57473 86140\n80567 100000\n79404 100000\n42233 63285\n21337 31916\n58587 87819\n5520 8224\n50957 76387\n21097 31549\n78176 100000\n95325 100000\n30764 46023\n80794 100000\n10162 15162\n83822 100000\n43137 64639\n72008 100000\n82382 100000\n28014 41899\n3639 5411\n95299 100000\n13083 19566\n30447 45537\n26828 40155\n40464 60618\n17389 25989\n13148 19664\n41149 61674\n39563 59272\n67959 100000\n13405 20042\n19230 28755\n89229 100000\n44175 66203\n97501 100000\n42685 63956\n37513 56191\n98337 100000\n69575 100000\n97708 100000\n44734 67005\n37487 56153\n78883 100000\n54420 81573\n18785 28081\n73950 100000\n42842 64192\n2301 3444\n1914 2863\n57422 86060\n63242 94853\n78487 100000\n38551 57747\n35786 53561\n4066 6036\n91511 100000\n98697 100000\n96211 100000\n92420 100000\n25645 38382\n5792 8623\n96121 100000\n73768 100000\n22152 33149\n87695 100000\n51323 76935\n58022 86969\n22399 33526\n96263 100000\n40330 60420\n79279 100000\n28352 42410\n98197 100000\n31585 47261\n63450 95156\n65520 98279\n79939 100000\n37694 56457\n97976 100000\n90136 100000\n52372 78497\n84262 100000\n35841 53647\n82503 100000\n88109 100000\n62585 93859\n95016 100000\n62873 94294\n65954 98924\n21991 32902\n90639 100000\n94412 100000\n92429 100000\n83332 100000\n13501 20192\n19614 29336\n55848 83699\n46444 69597\n55245 82800\n85637 100000\n53060 79554\n66683 100000\n37372 55977\n93832 100000\n85988 100000\n35712 53444\n57856 86717\n54084 81073\n41814 62653\n82301 100000\n59349 88960\n7762 11571\n55218 82758\n8643 12877\n42729 64022\n33170 49621\n13689 20459\n25929 38808\n43120 64615\n73904 100000\n90360 100000\n69004 100000\n33610 50271\n24583 36806\n97868 100000\n13890 20760\n53531 80242\n24020 35947\n261 385\n10 15\n20393 30490\n1814 2710\n96195 100000\n42410 63552\n41069 61556\n10709 15976\n88681 100000\n71648 100000\n93553 100000\n98674 100000\n42916 64311\n97201 100000\n89319 100000\n28200 42177\n58140 87149\n41447 62114\n59774 89614\n11910 17813\n98753 100000\n54386 81524\n93131 100000\n89896 100000\n32878 49176\n76434 100000\n74752 100000\n40737 61051\n47388 71028\n90853 100000\n74561 100000\n91135 100000\n74019 100000\n65315 97965\n13917 20800\n494 736\n80070 100000\n60562 90820\n50096 75099\n79348 100000\n43616 65368\n13068 19544\n44977 67372\n383 562\n10475 15640\n57905 86796\n54384 81521\n22239 33277\n34840 52118\n70366 100000\n13114 19610\n85040 100000\n77183 100000\n45411 68030\n46746 70052\n16089 24059\n20081 30014\n20823 31138\n13802 20633\n50524 75736\n6426 9576\n91414 100000\n97539 100000\n33729 50453\n62762 94126\n21141 31619\n9822 14660\n29504 44116\n46288 69351\n95330 100000\n27926 41764\n61516 92264\n23022 34467\n27959 41813\n38119 57091\n76152 100000\n42277 63351\n66867 100000\n14884 22245\n66991 100000\n36873 55227\n31824 47624\n51345 76971\n90112 100000\n29163 43601\n54141 81163\n13160 19685\n8725 13001\n42847 64200\n4740 7045\n16022 23954\n6243 9311\n4810 7153\n95102 100000\n84340 100000\n17122 25581\n40273 60331\n52210 78262\n55685 83446\n89305 100000\n52595 78837\n7232 10784\n55932 83831\n67827 100000\n51199 76752\n80355 100000\n65058 97556\n8454 12587\n58443 87605\n5895 8783\n51319 76930\n56246 84300\n85289 100000\n21477 32123\n73414 100000\n6332 9442\n6445 9605\n31001 46381\n66566 99846\n1652 2456\n25812 38636\n65893 98826\n63098 94638\n92635 100000\n59982 89924\n22963 34382\n67591 100000\n54670 81942\n23271 34837\n81000 100000\n99534 100000\n62073 93111\n22053 32995\n32561 48704\n10072 15036\n87835 100000\n2386 3573\n59672 89454\n35233 52715\n93095 100000\n75846 100000\n68810 100000\n5320 7921\n37183 55686\n36804 55120\n41596 62331\n35927 53779\n50635 75888\n67488 100000\n89764 100000\n81558 100000\n52845 79231\n36421 54536\n34969 52318\n28940 43265\n42291 63372\n33979 50829\n92634 100000\n67613 100000\n52820 79193\n6084 9068\n42931 64334\n9352 13946\n5601 8339\n69292 100000\n56381 84506\n13970 20878\n32673 48867\n54370 81503\n65834 98742\n69747 100000\n72144 100000\n35838 53643\n60186 90240\n90784 100000\n80361 100000\n56742 85053\n46020 68951\n18285 27331\n20678 30924\n43061 64530\n6451 9614\n68654 100000\n9003 13427\n85940 100000\n24203 36225\n6076 9057\n9132 13618\n20431 30548\n57419 86055\n66983 100000\n10457 15616\n72572 100000\n50192 75236\n51904 77802\n39704 59476\n34961 52304\n47778 71611\n28795 43057\n74648 100000\n55717 83493\n32600 48759\n75845 100000\n25778 38585\n94933 100000\n5623 8371\n85802 100000\n57958 86876\n7412 11057\n65658 98482\n35267 52762\n31521 47167\n21272 31819\n70513 100000\n77491 100000\n64584 96844\n17948 26830\n837 1254\n42244 63304\n84517 100000\n98064 100000\n11677 17455\n26536 39721\n36786 55094\n57619 86361\n89728 100000\n28809 43079\n4669 6942\n88600 100000\n63371 95040\n3307 4922\n26174 39179\n1309 1960\n97555 100000\n25917 38788\n46168 69175\n27482 41114\n24965 37364\n63963 95927\n62794 94173\n4382 6518\n40011 59937\n90906 100000\n62573 93844\n45000 67406\n47647 71407\n23286 34860\n93225 100000\n50080 75078\n16145 24139\n84173 100000\n90124 100000\n38517 57699\n67812 100000\n37137 55617\n31669 47385\n67554 100000\n23649 35394\n20258 30270\n44290 66359\n3481 5171\n94845 100000\n491 732\n4344 6459\n49557 74291\n34408 51489\n7522 11217\n42289 63369\n76130 100000\n68410 100000\n44665 66905\n57308 85883\n83039 100000\n4508 6705\n95808 100000\n26720 39999\n11999 17953\n22417 33551\n63009 94498\n33534 50160\n48137 72154\n31806 47596\n79426 100000\n88258 100000\n80700 100000\n38171 57166\n684 1024\n76864 100000\n82519 100000\n52511 78714\n26048 38981\n61058 91564\n31111 46542\n71353 100000\n54441 81606\n8151 12132\n63212 94807\n49864 74750\n11645 17408\n84765 100000\n4308 6406\n17671 26415\n64012 96000\n31463 47080\n45291 67853\n27065 40498\n38636 57871\n12503 18695\n72195 100000\n91073 100000\n15988 23909\n83674 100000\n10443 15596\n8397 12498\n33245 49727\n66284 99422\n76265 100000\n73224 100000\n67585 100000\n83584 100000\n15761 23563\n69175 100000\n26444 39588\n46318 69397\n42552 63762\n32072 47989\n99397 100000\n52288 78375\n655 979\n59019 88464\n25062 37516\n20661 30899\n98023 100000\n37935 56815\n97601 100000\n44349 66447\n70034 100000\n98960 100000\n94886 100000\n66932 100000\n35042 52429\n15711 23484\n18614 27820\n48262 72335\n19083 28533\n10888 16250\n44695 66951\n19118 28589\n60237 90321\n9966 14875\n74943 100000\n73278 100000\n72132 100000\n50871 76255\n87557 100000\n77093 100000\n70467 100000\n49454 74136\n63472 95190\n96943 100000\n75962 100000\n75912 100000\n44039 65994\n93356 100000\n99084 100000\n28952 43282\n46160 69163\n20263 30278\n43073 64548\n81207 100000\n76416 100000\n14099 21067\n26548 39743\n78603 100000\n1227 1836\n24939 37325\n58991 88423\n5089 7579\n77107 100000\n28719 42943\n84387 100000\n9230 13759\n53807 80666\n85043 100000\n47641 71399\n26075 39024\n14467 21608\n28953 43283\n5262 7837\n25150 37641\n17585 26281\n3090 4605\n46844 70202\n94940 100000\n65057 97554\n42103 63094\n8996 13416\n9768 14575\n44214 66256\n22783 34102\n10694 15951\n26969 40361\n19795 29601\n46286 69347\n28675 42875\n60757 91117\n88673 100000\n37877 56727\n7813 11638\n63314 94961\n78923 100000\n9773 14582\n50383 75530\n11711 17513\n5618 8364\n66259 99384\n4109 6103\n41022 61486\n15464 23112\n77916 100000\n65109 97638\n94612 100000\n20950 31328\n3561 5293\n12435 18595\n36353 54435\n5838 8694\n6049 9014\n90876 100000\n22721 34006\n75311 100000\n63977 95948\n81456 100000\n72167 100000\n56836 85193\n97978 100000\n88222 100000\n52252 78324\n51858 77734\n51767 77599\n75059 100000\n55145 82644\n93203 100000\n89121 100000\n54446 81613\n6515 9710\n25859 38705\n26492 39656\n23883 35746\n72894 100000\n18931 28301\n23296 34877\n95490 100000\n90436 100000\n42616 63852\n21609 32321\n43014 64459\n75946 100000\n28072 41984\n90922 100000\n39575 59290\n85118 100000\n18607 27811\n24288 36351\n68730 100000\n89608 100000\n87399 100000\n35731 53476\n72964 100000\n35444 53036\n55247 82803\n92649 100000\n17045 25469\n80455 100000\n464 693\n21037 31455\n18924 28292\n64494 96710\n78341 100000\n76165 100000\n98660 100000\n77929 100000\n1395 2085\n38624 57855\n88940 100000\n32952 49292\n1598 2379\n89553 100000\n82540 100000\n6391 9526\n65854 98774\n2540 3806\n98336 100000\n69054 100000\n32229 48229\n52260 78336\n80975 100000\n58164 87185\n25516 38190\n48104 72103\n51009 76466\n65697 98542\n90408 100000\n54510 81713\n4885 7263\n83525 100000\n97458 100000\n85646 100000\n38704 57974\n56997 85429\n28537 42670\n81240 100000\n65892 98824\n14456 21593\n89339 100000\n71892 100000\n59608 89357\n18078 27024\n99607 100000\n48344 72454\n35052 52443\n58622 87873\n73726 100000\n15708 23479\n50208 75260\n98115 100000\n20315 30371\n65558 98338\n14540 21720\n66197 99293\n75832 100000\n91988 100000\n89315 100000\n82892 100000\n96401 100000\n81881 100000\n24920 37299\n82959 100000\n61415 92118\n37571 56274\n64263 96364\n89154 100000\n64716 97043\n41463 62139\n43404 65049\n49427 74094\n20952 31331\n85956 100000\n60468 90675\n19980 29869\n1892 2834\n14618 21837\n53823 80690\n94781 100000\n48317 72411\n29196 43648\n14806 22121\n46032 68969\n59629 89391\n44623 66840\n6164 9195\n70549 100000\n56859 85229\n50745 76064\n49268 73846\n55092 82571\n41535 62246\n79004 100000\n42227 63275\n56490 84672\n34031 50908\n49152 73673\n15120 22588\n70780 100000\n30615 45797\n33203 49666\n10207 15229\n13570 20293\n43146 64651\n72131 100000\n55087 82563\n27445 41057\n19368 28967\n4324 6429\n11013 16436\n62993 94474\n32242 48246\n12046 18029\n41662 62429\n16272 24327\n75321 100000\n67491 100000\n78947 100000\n69285 100000\n37420 56047\n27725 41470\n19989 29883\n85373 100000\n18027 26945\n45650 68388\n99739 100000\n30837 46141\n36952 55337\n11038 16473\n29510 44124\n70801 100000\n36142 54115\n28281 42302\n67077 100000\n52905 79324\n40739 61053\n48192 72233\n32558 48699\n27207 40715\n70950 100000\n69840 100000\n35396 52958\n57662 86427\n24076 36031\n83191 100000\n52813 79184\n6577 9800\n80044 100000\n6775 10087\n72070 100000\n86399 100000\n94359 100000\n38565 57769\n57679 86455\n87424 100000\n53690 80489\n11747 17565\n93991 100000\n51257 76838\n50601 75840\n23220 34756\n51370 77010\n70368 100000\n78297 100000\n85682 100000\n73659 100000\n90993 100000\n1306 1955\n91573 100000\n49469 74158\n80769 100000\n76875 100000\n87257 100000\n13515 20210\n73668 100000\n58025 86973\n10882 16239\n66602 99900\n65843 98755\n82489 100000\n35092 52500\n33788 50542\n69686 100000\n40521 60710\n86141 100000\n35984 53863\n8868 13221\n70745 100000\n27597 41281\n95237 100000\n71679 100000\n10364 15467\n49933 74858\n7756 11561\n94096 100000\n10170 15172\n55103 82585\n52847 79234\n48349 72461\n78317 100000\n5488 8178\n75991 100000\n2440 3650\n56776 85102\n67718 100000\n78779 100000\n21094 31544\n25316 37890\n82476 100000\n83815 100000\n44151 66167\n4407 6553\n86855 100000\n634 950\n87064 100000\n36484 54629\n79602 100000\n80587 100000\n86555 100000\n45652 68392\n69134 100000\n99615 100000\n60317 90446\n71745 100000\n78102 100000\n37732 56515\n79497 100000\n57982 86907\n7146 10657\n37440 56078\n22207 33228\n2276 3405\n29381 43927\n22851 34211\n91013 100000\n72456 100000\n70129 100000\n77020 100000\n86665 100000\n16154 24153\n90624 100000\n82460 100000\n64811 97190\n70968 100000\n50508 75708\n43102 64588\n98073 100000\n5655 8417\n78041 100000\n96172 100000\n33542 50172\n98996 100000\n67128 100000\n18568 27755\n30503 45620\n94345 100000\n3401 5054\n75054 100000\n30650 45849\n91194 100000\n8011 11925\n9311 13883\n54512 81715\n12687 18974\n9880 14747\n70454 100000\n1205 1803\n93630 100000\n17600 26303\n69025 100000\n75838 100000\n17454 26089\n22920 34317\n41550 62268\n10332 15418\n63155 94721\n69537 100000\n30524 45654\n39604 59334\n31051 46455\n55286 82861\n10964 16361\n54314 81416\n30308 45331\n9604 14328\n37220 55743\n36798 55113\n89428 100000\n18415 27524\n7225 10775\n30897 46236\n3971 5899\n32227 48226\n40099 60068\n73244 100000\n89465 100000\n8100 12056\n80454 100000\n95951 100000\n78240 100000\n48432 72582\n58218 87266\n31716 47461\n82445 100000\n58958 88376\n75853 100000\n12783 19118\n81517 100000\n22416 33550\n74032 100000\n27841 41642\n82198 100000\n70925 100000\n44506 66672\n75531 100000\n71943 100000\n54282 81373\n92577 100000\n52574 78808\n75197 100000\n43163 64673\n33353 49888\n10545 15737\n85527 100000\n16915 25271\n14622 21844\n18951 28333\n35502 53133\n6710 9991\n59249 88807\n38185 57187\n58848 88216\n27532 41184\n71070 100000\n55187 82711\n872 1306\n64386 96551\n2270 3395\n7123 10621\n83766 100000\n13926 20811\n99506 100000\n16347 24430\n98217 100000\n96670 100000\n59502 89190\n38563 57765\n10240 15278\n58966 88386\n44136 66143\n96992 100000\n54093 81089\n59638 89405\n46152 69150\n64458 96662\n79655 100000\n6410 9556\n81868 100000\n58245 87306\n13888 20758\n99805 100000\n25894 38753\n84182 100000\n32174 48145\n24695 36968\n87584 100000\n46440 69591\n96449 100000\n52500 78698\n45386 67995\n71847 100000\n19596 29308\n50834 76200\n96537 100000\n30015 44896\n34563 51709\n63734 95573\n99031 100000\n51520 77226\n5239 7803\n27210 40720\n95281 100000\n99712 100000\n74167 100000\n64878 97288\n16200 24219\n34074 50971\n3951 5868\n5189 7731\n33883 50684\n46954 70371\n28344 42397\n92789 100000\n75249 100000\n10050 15004\n43179 64693\n2533 3795\n23963 35863\n30207 45182\n9927 14819\n98071 100000\n50026 74997\n2449 3665\n13031 19485\n94330 100000\n35472 53083\n79284 100000\n63461 95174\n40828 61197\n92367 100000\n53380 80023\n7884 11745\n15888 23755\n99356 100000\n62687 94013\n89874 100000\n85120 100000\n68440 100000\n75622 100000\n33499 50109\n26071 39018\n57092 85571\n23375 34986\n15537 23224\n57286 85851\n92000 100000\n50232 75295\n57070 85541\n64310 96436\n17440 26068\n59217 88759\n87769 100000\n6269 9350\n82308 100000\n67279 100000\n87115 100000\n15447 23084\n47130 70642\n80727 100000\n88022 100000\n50732 76047\n24988 37403\n94557 100000\n41146 61669\n9886 14757\n14521 21691\n13453 20116\n34566 51715\n70624 100000\n86273 100000\n12258 18344\n18136 27109\n99086 100000\n45156 67643\n62457 93671\n12674 18953\n20157 30124\n95436 100000\n15206 22717\n90685 100000\n10047 15000\n43136 64638\n42329 63424\n70081 100000\n32475 48588\n28711 42931\n85017 100000\n64508 96731\n96234 100000\n99292 100000\n45658 68402\n52193 78235\n13944 20839\n69163 100000\n32233 48235\n62068 93104\n24392 36516\n3349 4976\n70567 100000\n99788 100000\n84861 100000\n59381 89004\n46523 69712\n32906 49220\n97253 100000\n88605 100000\n43907 65807\n30941 46299\n30882 46211\n46480 69650\n66265 99393\n89104 100000\n48455 72620\n56691 84973\n16862 25193\n23837 35675\n48450 72611\n2340 3504\n7852 11699\n79233 100000\n81287 100000\n38920 58286\n66750 100000\n50796 76146\n86042 100000\n98032 100000\n42595 63819\n32523 48654\n79991 100000\n55901 83783\n42559 63771\n44519 66689\n95551 100000\n7867 11722\n14286 21345\n96317 100000\n71449 100000\n85414 100000\n337 495\n20385 30478\n93643 100000\n86448 100000\n30555 45700\n96429 100000\n60091 90095\n95136 100000\n35518 53157\n33388 49941\n49028 73478\n98789 100000\n14360 21450\n60936 91382\n8520 12695\n69029 100000\n26400 39524\n53139 79665\n54659 81924\n33403 49961\n74768 100000\n84586 100000\n25703 38473\n82743 100000\n1899 2846\n75209 100000\n70828 100000\n46645 69897\n43762 65584\n13404 20040\n67172 100000\n61298 91936\n46252 69297\n6136 9149\n42248 63311\n62286 93425\n68612 100000\n89263 100000\n5946 8859\n87067 100000\n53701 80506\n74550 100000\n22898 34284\n27491 41126\n60019 89983\n72146 100000\n22470 33629\n47208 70760\n83935 100000\n90334 100000\n6020 8968\n42650 63903\n38950 58332\n59098 88579\n6198 9245\n277 409\n94558 100000\n54994 82430\n85464 100000\n54739 82048\n8299 12352\n42167 63189\n99143 100000\n11270 16826\n48897 73282\n15345 22925\n60830 91227\n6364 9487\n96460 100000\n36914 55281\n72214 100000\n36990 55392\n80901 100000\n37898 56760\n84934 100000\n2347 3515\n37623 56355\n82855 100000\n59588 89323\n22182 33189\n74886 100000\n74081 100000\n78875 100000\n2697 4025\n84865 100000\n78848 100000\n28986 43334\n41888 62769\n18896 28251\n34380 51447\n30131 45070\n55742 83530\n8510 12678\n70869 100000\n65948 98915\n22603 33829\n62216 93322\n85033 100000\n62366 93542\n83863 100000\n89555 100000\n60145 90179\n73916 100000\n53747 80576\n84067 100000\n16505 24669\n42178 63204\n90086 100000\n89844 100000\n25643 38378\n98659 100000\n23176 34688\n47882 71770\n56049 83999\n11616 17362\n55769 83574\n94876 100000\n94859 100000\n4595 6832\n58186 87217\n75432 100000\n3535 5254\n80141 100000\n91352 100000\n37806 56618\n21015 31425\n23021 34466\n13814 20651\n99362 100000\n39151 58643\n78525 100000\n85724 100000\n11267 16821\n64474 96682\n40904 61308\n65832 98738\n39842 59686\n20442 30564\n42166 63187\n26238 39277\n80841 100000\n69636 100000\n35492 53117\n15971 23885\n77014 100000\n19777 29577\n52779 79130\n73636 100000\n39921 59799\n99978 100000\n74605 100000\n90672 100000\n32780 49027\n11254 16802\n44167 66191\n37423 56051\n18696 27954\n64644 96937\n79688 100000\n28373 42438\n7825 11656\n30955 46321\n58194 87228\n29859 44659\n94973 100000\n97807 100000\n57843 86698\n79750 100000\n706 1055\n79571 100000\n27832 41630\n13840 20687\n78788 100000\n49532 74251\n67200 100000\n44334 66425\n98002 100000\n43831 65689\n66108 99160\n49693 74494\n38840 58174\n2248 3362\n87580 100000\n64198 96269\n819 1226\n72141 100000\n12051 18037\n28645 42828\n6077 9058\n36374 54470\n3701 5503\n99787 100000\n30400 45465\n83400 100000\n64309 96434\n70652 100000\n48802 73139\n31888 47715\n12283 18383\n76384 100000\n34782 52033\n81933 100000\n78278 100000\n79693 100000\n16483 24635\n26311 39388\n78949 100000\n79119 100000\n1620 2408\n98571 100000\n22942 34352\n41060 61543\n49235 73798\n76973 100000\n97530 100000\n71297 100000\n31487 47117\n64369 96526\n37348 55939\n54692 81974\n31742 47499\n13009 19450\n17196 25691\n64982 97444\n22051 32992\n6032 8988\n53878 80770\n88936 100000\n37132 55609\n94432 100000\n51055 76535\n81995 100000\n29813 44592\n91912 100000\n61848 92769\n99360 100000\n21230 31750\n60285 90395\n31039 46435\n19379 28982\n13241 19799\n53951 80879\n34568 51718\n44674 66918\n46074 69030\n18744 28027\n44803 67104\n69876 100000\n54938 82345\n58919 88312\n11908 17811\n95800 100000\n61234 91832\n49294 73884\n80358 100000\n587 878\n56883 85266\n3158 4704\n9048 13496\n65390 98081\n92434 100000\n98601 100000\n65472 98210\n74753 100000\n15819 23652\n26979 40378\n68578 100000\n7766 11575\n73337 100000\n21954 32847\n47476 71159\n31629 47325\n5085 7573\n77717 100000\n14993 22403\n9571 14281\n8469 12611\n51471 77152\n55034 82487\n98640 100000\n26113 39086\n62333 93494\n72440 100000\n44091 66074\n82398 100000\n80201 100000\n20166 30137\n62984 94461\n42665 63925\n35629 53323\n1210 1811\n14321 21396\n48990 73422\n31461 47076\n22273 33329\n60643 90944\n46233 69268\n93539 100000\n14077 21035\n16309 24376\n43302 64889\n97181 100000\n65079 97590\n91580 100000\n5642 8398\n16141 24133\n65519 98277\n23773 35574\n45605 68320\n84278 100000\n61948 92922\n71750 100000\n13729 20519\n59000 88439\n21117 31577\n27194 40694\n49628 74398\n35450 53047\n81305 100000\n94865 100000\n9473 14128\n53215 79778\n58173 87198\n21936 32821\n32960 49301\n50746 76066\n79689 100000\n31335 46883\n21807 32622\n58917 88310\n56354 84464\n24577 36797\n2359 3530\n77861 100000\n66663 99991\n91987 100000\n57076 85550\n996 1491\n79975 100000\n90896 100000\n52984 79450\n18756 28042\n48629 72878\n97014 100000\n60343 90487\n6646 9895\n10433 15581\n2791 4162\n61857 92784\n87099 100000\n87870 100000\n92652 100000\n96233 100000\n7314 10908\n34083 50986\n85907 100000\n38030 56957\n46640 69889\n10837 16165\n38484 57649\n58904 88293\n51454 77128\n28720 42945\n88959 100000\n62930 94383\n5305 7899\n6479 9657\n33506 50120\n22218 33243\n15663 23416\n85652 100000\n24211 36240\n65197 97776\n18066 27006\n3506 5208\n3474 5160\n88834 100000\n51047 76524\n77339 100000\n50203 75253\n21391 31993\n18827 28147\n46418 69555\n72543 100000\n35986 53867\n13442 20102\n42118 63115\n83604 100000\n63386 95060\n52160 78183\n95377 100000\n1168 1744\n96261 100000\n35857 53671\n13587 20316\n47121 70626\n42004 62947\n77675 100000\n42888 64263\n98823 100000\n55417 83057\n83779 100000\n27134 40610\n33493 50100\n86674 100000\n37050 55485\n43250 64804\n30128 45066\n71067 100000\n82927 100000\n34282 51293\n57489 86165\n71378 100000\n57778 86602\n63697 95515\n6306 9403\n55487 83162\n81203 100000\n33755 50494\n80169 100000\n66819 100000\n16886 25232\n56808 85151\n58583 87813\n57721 86522\n45982 68889\n45763 68564\n95251 100000\n35467 53076\n88333 100000\n7571 11287\n27742 41497\n52708 79015\n81023 100000\n27322 40880\n28280 42300\n4934 7340\n14640 21872\n90952 100000\n68893 100000\n23157 34657\n72043 100000\n4541 6751\n54185 81230\n35363 52908\n1411 2112\n37807 56620\n11261 16812\n24216 36249\n38007 56922\n5409 8060\n26984 40385\n92442 100000\n87533 100000\n47803 71648\n50910 76315\n24024 35955\n5261 7836\n23805 35624\n18134 27106\n58892 88276\n47786 71623\n86969 100000\n12678 18959\n14387 21490\n85929 100000\n65459 98187\n55122 82611\n58080 87060\n45976 68878\n73985 100000\n43253 64809\n75335 100000\n60840 91240\n98751 100000\n87946 100000\n48493 72678\n41532 62242\n25627 38354\n87021 100000\n19895 29745\n73893 100000\n9202 13717\n39973 59881\n54572 81801\n31815 47611\n98324 100000\n40081 60041\n62261 93390\n50719 76026\n73294 100000\n68954 100000\n12143 18170\n80674 100000\n34674 51871\n9679 14436\n53278 79872\n23666 35421\n37176 55677\n93337 100000\n17905 26771\n62749 94105\n59462 89128\n42629 63872\n93386 100000\n6259 9335\n26628 39864\n91633 100000\n87060 100000\n7808 11631\n84669 100000\n2633 3942\n95455 100000\n26374 39486\n92646 100000\n91470 100000\n66255 99377\n48756 73063\n72023 100000\n34602 51768\n94377 100000\n50088 75088\n35581 53252\n47462 71138\n71491 100000\n52609 78861\n98673 100000\n93306 100000\n31626 47321\n29321 43834\n17705 26467\n56559 84779\n40400 60524\n49317 73919\n69909 100000\n25823 38652\n8861 13211\n39581 59296\n19081 28529\n30993 46371\n25728 38507\n85707 100000\n34662 51853\n51183 76729\n7853 11701\n55248 82805\n27192 40692\n59238 88790\n34123 51046\n72769 100000\n21305 31866\n57763 86580\n50285 75378\n84575 100000\n73849 100000\n31469 47090\n10113 15095\n39273 58827\n41064 61549\n68126 100000\n10920 16293\n23268 34834\n92990 100000\n29347 43876\n82325 100000\n47131 70643\n37493 56160\n50093 75096\n83848 100000\n70949 100000\n47805 71652\n64520 96750\n60435 90625\n5786 8615\n69905 100000\n54075 81059\n93802 100000\n50184 75227\n30860 46176\n55073 82543\n96504 100000\n86938 100000\n44262 66321\n12940 19349\n26904 40266\n19076 28522\n50643 75899\n77456 100000\n69131 100000\n27902 41729\n93909 100000\n71953 100000\n66280 99416\n98930 100000\n74720 100000\n70929 100000\n20701 30960\n98510 100000\n72389 100000\n76901 100000\n50235 75299\n7371 10993\n24454 36611\n59841 89715\n16704 24959\n15871 23729\n61827 92735\n53780 80624\n9780 14592\n65458 98186\n3800 5647\n54679 81955\n10474 15639\n4722 7018\n89565 100000\n13420 20068\n17678 26427\n54479 81664\n43193 64713\n86142 100000\n88699 100000\n40958 61388\n91266 100000\n99920 100000\n51299 76900\n4008 5953\n96974 100000\n96760 100000\n70757 100000\n41462 62138\n52130 78136\n56436 84587\n3827 5685\n90428 100000\n62991 94472\n70947 100000\n66737 100000\n92048 100000\n30991 46368\n55642 83385\n18841 28170\n59766 89602\n45642 68378\n5597 8333\n38272 57319\n31014 46399\n10600 15820\n16769 25056\n77850 100000\n12701 18992\n79341 100000\n5332 7938\n33766 50507\n19958 29839\n86038 100000\n28386 42456\n61512 92257\n20761 31052\n7812 11637\n78060 100000\n45630 68359\n89630 100000\n75075 100000\n9952 14855\n99720 100000\n14893 22257\n62480 93704\n51240 76815\n75657 100000\n6150 9175\n43810 65654\n60716 91055\n9832 14677\n23811 35636\n76581 100000\n57799 86631\n2052 3074\n28638 42818\n53555 80280\n19339 28924\n16291 24352\n72471 100000\n18853 28190\n84651 100000\n91598 100000\n84983 100000\n85185 100000\n42377 63501\n87593 100000\n66399 99596\n56458 84620\n41266 61843\n73759 100000\n58125 87125\n94553 100000\n93431 100000\n39247 58788\n21087 31534\n4083 6060\n77051 100000\n17740 26520\n85119 100000\n85268 100000\n10313 15387\n34280 51289\n80375 100000\n29296 43798\n74539 100000\n66704 100000\n87686 100000\n68424 100000\n75447 100000\n5814 8656\n78091 100000\n13769 20586\n38569 57775\n22348 33448\n40931 61348\n51477 77162\n50650 75911\n74162 100000\n62622 93917\n34265 51265\n32680 48878\n37126 55601\n21362 31949\n27080 40524\n89441 100000\n33238 49717\n93918 100000\n9179 13687\n10597 15815\n46306 69381\n49359 73988\n18766 28057\n98066 100000\n46376 69487\n33498 50107\n28206 42188\n42225 63272\n58000 86937\n42383 63512\n19128 28603\n15286 22836\n27081 40525\n72604 100000\n310 456\n88688 100000\n22774 34088\n81763 100000\n72239 100000\n82722 100000\n5611 8353\n3978 5908\n58551 87764\n18046 26975\n18426 27541\n43679 65462\n23302 34886\n48233 72289\n49637 74412\n8770 13066\n71093 100000\n83921 100000\n20421 30533\n10599 15818\n85403 100000\n26432 39572\n99354 100000\n68259 100000\n42157 63173\n56275 84342\n33914 50734\n60333 90472\n97394 100000\n48065 72045\n19913 29772\n18790 28089\n26314 39391\n48220 72271\n54378 81515\n57539 86238\n99428 100000\n35462 53070\n78948 100000\n60645 90947\n69189 100000\n11520 17212\n391 576\n79979 100000\n93137 100000\n23893 35760\n81385 100000\n2180 3266\n85245 100000\n34616 51790\n35762 53523\n41284 61868\n94139 100000\n16295 24357\n71673 100000\n21526 32197\n38044 56980\n86322 100000\n38776 58080\n69437 100000\n78140 100000\n16551 24739\n49688 74488\n51469 77148\n60733 91080\n51447 77119\n25569 38270\n77895 100000\n32594 48749\n4390 6529\n75300 100000\n34584 51744\n2545 3815\n85812 100000\n57927 86830\n15416 23032\n41164 61699\n64081 96100\n46574 69787\n16651 24881\n33660 50349\n12951 19365\n18822 28139\n159 235\n76524 100000\n28616 42786\n46649 69902\n94515 100000\n21355 31939\n46073 69028\n10410 15546\n89532 100000\n44035 65988\n93666 100000\n6892 10274\n99554 100000\n44596 66804\n84254 100000\n87816 100000\n15616 23343\n73028 100000\n58811 88163\n16011 23942\n25323 37901\n66761 100000\n43412 65063\n46470 69635\n76982 100000\n11722 17528\n41537 62250\n33848 50629\n52401 78544\n44271 66332\n42793 64115\n12197 18245\n67919 100000\n97536 100000\n11920 17827\n15252 22789\n59788 89635\n99954 100000\n50562 75789\n23424 35059\n85681 100000\n59070 88539\n87240 100000\n41072 61561\n37458 56109\n96444 100000\n98778 100000\n47037 70497\n87252 100000\n83706 100000\n97340 100000\n45646 68383\n67510 100000\n16723 24987\n94332 100000\n57075 85549\n58157 87175\n85939 100000\n8877 13238\n63956 95919\n38875 58227\n27881 41698\n47837 71702\n21123 31588\n44352 66451\n99169 100000\n34298 51316\n89102 100000\n81713 100000\n23943 35834\n31634 47332\n6693 9965\n19405 29019\n20994 31390\n79946 100000\n2787 4155\n69017 100000\n1087 1628\n29956 44807\n52499 78696\n33320 49837\n69468 100000\n61242 91846\n79664 100000\n77197 100000\n69315 100000\n235 348\n7261 10825\n92832 100000\n552 827\n96133 100000\n36221 54239\n68562 100000\n55263 82824\n27010 40418\n33019 49389\n20188 30168\n41897 62782\n68985 100000\n25570 38272\n49822 74689\n42125 63127\n72600 100000\n31102 46529\n60184 90237\n79044 100000\n59482 89160\n36438 54563\n87036 100000\n77264 100000\n31363 46928\n39841 59685\n77577 100000\n8665 12910\n29619 44295\n55743 83532\n42206 63245\n98835 100000\n98836 100000\n86280 100000\n61578 92358\n89338 100000\n61675 92512\n94288 100000\n40445 60590\n86593 100000\n4826 7174\n57716 86514\n41953 62867\n70612 100000\n56850 85214\n16365 24459\n76183 100000\n84036 100000\n7629 11375\n40825 61192\n16392 24499\n18455 27587\n33438 50016\n49037 73492\n31355 46916\n78067 100000\n18632 27850\n68074 100000\n97164 100000\n86535 100000\n88549 100000\n38070 57021\n92738 100000\n81140 100000\n72630 100000\n14878 22236\n27249 40776\n75725 100000\n16837 25154\n72264 100000\n16137 24126\n92606 100000\n36225 54244\n5194 7739\n57103 85588\n17103 25556\n71121 100000\n96990 100000\n28154 42111\n17877 26736\n15088 22542\n90266 100000\n8751 13036\n17301 25850\n73488 100000\n38592 57809\n76747 100000\n37715 56492\n76666 100000\n4228 6290\n70610 100000\n59722 89533\n28375 42441\n9101 13572\n36361 54448\n41747 62554\n1507 2249\n68610 100000\n35836 53639\n87771 100000\n52986 79452\n70752 100000\n67175 100000\n45063 67495\n22357 33464\n455 679\n96012 100000\n32989 49340\n93209 100000\n32584 48737\n85155 100000\n67377 100000\n62691 94021\n25384 37993\n65830 98735\n73234 100000\n61962 92944\n36614 54832\n33150 49594\n72561 100000\n63232 94836\n85697 100000\n43771 65597\n12431 18590\n52379 78509\n76744 100000\n53110 79624\n72811 100000\n11583 17307\n85187 100000\n63313 94959\n11831 17692\n76340 100000\n13282 19859\n24570 36786\n13335 19942\n36191 54192\n45024 67435\n18094 27048\n33380 49930\n14600 21809\n51576 77313\n40367 60474\n94360 100000\n27468 41092\n67110 100000\n25075 37535\n259 383\n64601 96869\n96069 100000\n35761 53521\n50087 75087\n35772 53539\n41224 61786\n88773 100000\n84904 100000\n62636 93940\n81356 100000\n86748 100000\n37653 56400\n69707 100000\n71187 100000\n85641 100000\n31709 47450\n7607 11344\n47113 70613\n38268 57312\n49214 73769\n52075 78057\n65842 98753\n48454 72619\n76217 100000\n79737 100000\n34537 51676\n84120 100000\n28871 43168\n14217 21242\n51273 76863\n41115 61625\n53595 80345\n2950 4405\n30983 46358\n2338 3501\n66062 99087\n36535 54709\n46535 69727\n83035 100000\n85234 100000\n8801 13119\n65573 98357\n74042 100000\n2240 3350\n2232 3338\n53750 80581\n22605 33831\n95680 100000\n68128 100000\n80811 100000\n75066 100000\n58858 88229\n70445 100000\n29573 44220\n81006 100000\n78043 100000\n53546 80264\n94896 100000\n80778 100000\n66633 99946\n17001 25403\n84147 100000\n63180 94758\n21772 32565\n69343 100000\n22423 33560\n9801 14626\n65410 98114\n43898 65792\n38601 57821\n85924 100000\n74405 100000\n13450 20113\n22191 33202\n58845 88212\n20575 30763\n10286 15345\n63182 94761\n84742 100000\n88091 100000\n57159 85667\n78608 100000\n69224 100000\n75266 100000\n40346 60444\n83093 100000\n27868 41680\n46326 69408\n78825 100000\n74901 100000\n60726 91071\n80144 100000\n68702 100000\n78954 100000\n40845 61222\n13224 19776\n62411 93606\n3387 5037\n51522 77230\n80158 100000\n90007 100000\n48682 72954\n89545 100000\n77983 100000\n78676 100000\n91716 100000\n55879 83747\n61146 91697\n76316 100000\n19903 29755\n10063 15023\n67484 100000\n32654 48837\n17116 25573\n11311 16886\n66359 99536\n33359 49896\n94401 100000\n18324 27393\n23845 35688\n88708 100000\n96794 100000\n78164 100000\n94562 100000\n32183 48161\n91630 100000\n67061 100000\n81486 100000\n7265 10830\n26975 40372\n74542 100000\n21258 31795\n35005 52374\n2785 4152\n26893 40247\n77926 100000\n29529 44152\n4365 6492\n6172 9208\n17426 26048\n72545 100000\n57548 86249\n99698 100000\n76309 100000\n31587 47265\n27535 41189\n93782 100000\n44751 67030\n17060 25489\n24239 36280\n23446 35092\n90749 100000\n60380 90540\n3647 5422\n69303 100000\n34494 51612\n31868 47688\n61830 92739\n43899 65794\n32379 48445\n40250 60298\n94895 100000\n2396 3588\n34607 51776\n48562 72779\n32915 49234\n36099 54049\n16826 25139\n73117 100000\n75751 100000\n25273 37827\n523 780\n38982 58382\n1096 1641\n98792 100000\n61584 92367\n73800 100000\n22121 33102\n97839 100000\n6129 9136\n23450 35098\n24841 37186\n25659 38404\n52443 78611\n95326 100000\n76899 100000\n23974 35877\n8043 11968\n27008 40414\n58819 88176\n53717 80528\n90087 100000\n9657 14405\n39648 59392\n92725 100000\n89222 100000\n23092 34565\n44747 67026\n16066 24021\n8584 12794\n91304 100000\n38258 57297\n95007 100000\n53469 80151\n47232 70796\n62719 94061\n15245 22779\n29127 43545\n93901 100000\n52991 79458\n11023 16450\n10787 16095\n87534 100000\n46421 69561\n85183 100000\n70371 100000\n99088 100000\n15496 23158\n14479 21629\n94650 100000\n73900 100000\n18879 28228\n52235 78298\n6726 10016\n28639 42819\n32409 48488\n8474 12620\n55889 83761\n80247 100000\n45425 68051\n98990 100000\n97464 100000\n42354 63463\n19298 28859\n38313 57380\n90665 100000\n97980 100000\n62313 93466\n60238 90323\n10946 16333\n13349 19962\n12860 19233\n14843 22177\n48471 72644\n23504 35183\n74305 100000\n7654 11413\n96200 100000\n90917 100000\n92538 100000\n60985 91454\n29475 44067\n35504 53137\n40103 60075\n20483 30622\n21316 31883\n52792 79150\n38128 57103\n73643 100000\n6298 9392\n91156 100000\n44810 67113\n40141 60131\n22094 33056\n84269 100000\n6119 9119\n45616 68338\n59939 89859\n76250 100000\n75914 100000\n38153 57144\n31195 46666\n97723 100000\n7150 10663\n65184 97756\n1149 1716\n49934 74859\n80367 100000\n29344 43871\n9720 14503\n22479 33642\n38670 57921\n32386 48455\n51585 77328\n52723 79039\n47780 71614\n47726 71525\n88753 100000\n42936 64342\n93884 100000\n2638 3949\n9472 14127\n23177 34690\n51996 77941\n28091 42015\n53426 80087\n13597 20330\n12898 19289\n13163 19689\n34812 52078\n57038 85494\n47164 70691\n19421 29040\n92542 100000\n62693 94023\n44837 67151\n10223 15254\n1349 2017\n57630 86380\n48810 73148\n76531 100000\n31382 46954\n94224 100000\n17677 26425\n83878 100000\n49112 73614\n29772 44530\n43003 64442\n7931 11811\n80989 100000\n33103 49520\n80993 100000\n17432 26056\n42871 64235\n95867 100000\n33083 49488\n11255 16803\n63511 95242\n44194 66229\n151 222\n85196 100000\n38815 58138\n27878 41694\n41934 62838\n99526 100000\n78937 100000\n47673 71448\n88223 100000\n52070 78049\n62260 93389\n24742 37040\n99153 100000\n4659 6929\n68753 100000\n27988 41856\n75786 100000\n82823 100000\n52303 78398\n77047 100000\n58582 87811\n58682 87966\n67698 100000\n2285 3419\n7484 11160\n71096 100000\n36100 54051\n50857 76236\n27472 41097\n1176 1756\n99645 100000\n5699 8480\n65353 98024\n54914 82307\n56424 84569\n55622 83356\n52320 78424\n69502 100000\n22034 32967\n66647 99968\n10843 16176\n6171 9207\n14126 21108\n59449 89109\n29780 44542\n45868 68718\n40807 61161\n10588 15803\n4292 6386\n49212 73766\n40050 59996\n19528 29205\n88146 100000\n633 948\n66271 99401\n97809 100000\n91280 100000\n15838 23678\n23530 35218\n63388 95063\n80468 100000\n43337 64941\n1211 1812\n58068 87039\n57580 86299\n38518 57700\n62328 93485\n18216 27227\n12793 19134\n4002 5945\n83526 100000\n99175 100000\n52868 79266\n20489 30633\n1716 2561\n96190 100000\n23597 35318\n69603 100000\n76947 100000\n52357 78476\n83837 100000\n66048 99068\n84718 100000\n79223 100000\n8834 13170\n68186 100000\n25787 38599\n39066 58510\n1811 2705\n62886 94312\n14616 21834\n15581 23290\n69275 100000\n16813 25118\n630 942\n69425 100000\n25087 37554\n23069 34533\n8903 13275\n44234 66282\n7866 11720\n4812 7155\n63225 94826\n26285 39348\n30044 44936\n5702 8485\n23460 35114\n4950 7362\n33026 49400\n14299 21362\n80435 100000\n71428 100000\n70548 100000\n95738 100000\n12580 18808\n83012 100000\n34299 51317\n75722 100000\n94513 100000\n36399 54504\n18181 27177\n14083 21044\n58929 88327\n96704 100000\n48401 72541\n12985 19416\n38447 57595\n75137 100000\n42402 63539\n25110 37586\n62835 94236\n86948 100000\n59726 89538\n20979 31369\n12786 19122\n14069 21024\n57968 86889\n53256 79841\n19177 28676\n36154 54131\n12468 18644\n40017 59947\n61760 92639\n37895 56755\n21334 31910\n63664 95462\n7482 11156\n6147 9170\n33538 50167\n36556 54742\n41181 61728\n51673 77459\n3595 5341\n1761 2629\n40507 60685\n74500 100000\n35207 52676\n89782 100000\n30981 46354\n40220 60252\n19174 28672\n98611 100000\n42027 62982\n63974 95943\n8727 13004\n64083 96103\n94585 100000\n41651 62411\n82561 100000\n33942 50778\n28932 43252\n32672 48866\n17283 25821\n1767 2636\n86926 100000\n55182 82704\n91505 100000\n91810 100000\n84521 100000\n52899 79315\n99848 100000\n75411 100000\n66217 99324\n1103 1651\n83732 100000\n97084 100000\n31426 47023\n70215 100000\n79706 100000\n56126 84118\n88570 100000\n12247 18324\n84706 100000\n96654 100000\n40078 60036\n4161 6188\n86698 100000\n98429 100000\n17360 25947\n17313 25867\n1141 1705\n82273 100000\n29085 43485\n28776 43026\n82094 100000\n7739 11540\n25740 38523\n67242 100000\n52257 78330\n68830 100000\n43952 65870\n55315 82904\n68426 100000\n39653 59399\n59068 88536\n674 1009\n95461 100000\n76351 100000\n76610 100000\n87564 100000\n57086 85561\n3578 5317\n24942 37330\n81654 100000\n8134 12104\n84636 100000\n25271 37824\n72842 100000\n54900 82285\n63159 94726\n29563 44207\n44856 67182\n2593 3881\n47815 71667\n98012 100000\n97705 100000\n44974 67366\n24342 36436\n11780 17615\n79321 100000\n12640 18902\n43370 64991\n6926 10325\n59232 88781\n59974 89913\n56701 84988\n22139 33129\n95816 100000\n32521 48651\n77530 100000\n27160 40645\n10343 15437\n93934 100000\n6057 9027\n80869 100000\n91415 100000\n19292 28848\n90637 100000\n51354 76984\n7820 11648\n30806 46090\n50709 76010\n63519 95256\n42914 64308\n83465 100000\n76758 100000\n30827 46124\n65949 98917\n54350 81471\n99721 100000\n10881 16237\n26626 39861\n19060 28501\n25773 38575\n11380 16987\n76446 100000\n81709 100000\n42314 63403\n11408 17027\n95148 100000\n17782 26579\n1996 2992\n88346 100000\n33741 50474\n16131 24115\n1241 1857\n39349 58945\n66029 99038\n27069 40506\n22040 32976\n62085 93130\n44831 67142\n68226 100000\n80330 100000\n84719 100000\n12876 19256\n3513 5219\n24860 37212\n60025 89993\n49389 74035\n3094 4610\n66760 100000\n11200 16717\n71094 100000\n88593 100000\n48858 73218\n69311 100000\n93681 100000\n16983 25378\n71009 100000\n89903 100000\n16408 24522\n86304 100000\n86425 100000\n32315 48358\n83337 100000\n64233 96319\n64729 97063\n69398 100000\n64366 96521\n24330 36418\n54942 82351\n10095 15069\n97402 100000\n68930 100000\n87738 100000\n84931 100000\n34305 51325\n90741 100000\n8338 12412\n11668 17441\n70565 100000\n35669 53381\n36504 54658\n23054 34513\n34596 51761\n40224 60258\n8146 12125\n29909 44735\n31676 47394\n88101 100000\n4985 7419\n10793 16103\n76224 100000\n29898 44718\n77724 100000\n93740 100000\n9242 13781\n46676 69944\n11636 17392\n86377 100000\n15413 23026\n79648 100000\n72139 100000\n93446 100000\n14933 22317\n37590 56305\n25517 38192\n62336 93500\n26998 40400\n74528 100000\n97994 100000\n14599 21808\n27109 40571\n6960 10377\n10543 15733\n98934 100000\n52399 78541\n16583 24781\n59523 89223\n77230 100000\n95150 100000\n96933 100000\n87537 100000\n9396 14012\n22708 33986\n50069 75061\n53463 80144\n69317 100000\n1386 2073\n62555 93816\n86122 100000\n99066 100000\n8204 12210\n32760 48996\n22176 33182\n6519 9716\n94035 100000\n6386 9518\n41376 62004\n83031 100000\n59157 88668\n13480 20158\n84403 100000\n86575 100000\n82715 100000\n40513 60697\n40399 60522\n91228 100000\n84078 100000\n18903 28261\n51556 77287\n97221 100000\n48053 72028\n79082 100000\n42384 63513\n54332 81442\n52046 78012\n10736 16015\n26767 40069\n19358 28952\n662 990\n9308 13879\n52922 79351\n43793 65630\n43601 65349\n62421 93622\n7572 11288\n60298 90417\n49199 73746\n21089 31537\n16553 24741\n3662 5445\n92368 100000\n9018 13451\n80378 100000\n47478 71161\n95346 100000\n61720 92582\n36502 54654\n77353 100000\n53408 80062\n55740 83527\n10430 15577\n47154 70678\n15503 23167\n88033 100000\n95519 100000\n28475 42585\n85992 100000\n87245 100000\n67923 100000\n27728 41475\n90093 100000\n31260 46767\n79887 100000\n20871 31208\n21504 32162\n48037 72002\n73979 100000\n11189 16699\n24953 37345\n16808 25112\n94411 100000\n14172 21178\n73747 100000\n61759 92638\n6559 9773\n33667 50360\n25425 38056\n43747 65564\n96669 100000\n1253 1873\n41637 62392\n69158 100000\n11459 17112\n62679 94003\n42712 63997\n29537 44165\n79773 100000\n8561 12760\n23154 34654\n54487 81674\n96236 100000\n3934 5844\n78771 100000\n74089 100000\n98703 100000\n5369 7998\n86976 100000\n92489 100000\n35850 53660\n34050 50932\n16377 24476\n70543 100000\n46098 69064\n75827 100000\n42974 64398\n85407 100000\n98723 100000\n69397 100000\n9668 14420\n83297 100000\n53938 80860\n39137 58622\n4767 7085\n37218 55739\n80715 100000\n32168 48136\n94804 100000\n39331 58918\n85430 100000\n90865 100000\n2140 3204\n95481 100000\n59441 89095\n89034 100000\n29934 44774\n50245 75316\n36306 54363\n77963 100000\n18494 27645\n58804 88150\n4287 6379\n41598 62333\n45202 67716\n49774 74617\n44742 67019\n41608 62348\n5359 7983\n92788 100000\n18076 27020\n21864 32715\n42843 64193\n35533 53183\n9681 14439\n29601 44265\n47099 70590\n28866 43162\n6581 9806\n28888 43192\n43310 64902\n57442 86091\n58769 88094\n89483 100000\n38838 58172\n77090 100000\n56179 84200\n52629 78891\n9906 14785\n49016 73458\n82207 100000\n56225 84270\n84791 100000\n57456 86113\n88027 100000\n30155 45103\n86841 100000\n85636 100000\n33197 49658\n44025 65972\n68593 100000\n43513 65214\n53111 79625\n76266 100000\n99249 100000\n59525 89227\n18596 27798\n93908 100000\n2070 3103\n58026 86975\n20747 31028\n35869 53690\n68139 100000\n54172 81208\n50685 75971\n53978 80917\n44970 67360\n2578 3861\n12496 18684\n7648 11406\n17711 26476\n48353 72466\n9802 14628\n32408 48486\n1908 2857\n42779 64094\n52725 79042\n94692 100000\n5301 7892\n88449 100000\n87633 100000\n1500 2239\n29931 44769\n78624 100000\n77612 100000\n93765 100000\n57022 85467\n95313 100000\n59341 88946\n64493 96709\n17498 26153\n84329 100000\n39674 59428\n70992 100000\n74956 100000\n20622 30837\n796 1192\n13795 20623\n49641 74417\n83195 100000\n69581 100000\n54299 81397\n76050 100000\n2472 3698\n75080 100000\n62344 93512\n70282 100000\n64973 97430\n30443 45531\n18432 27551\n5251 7819\n41707 62494\n45515 68186\n95675 100000\n27876 41690\n93017 100000\n100 147\n55126 82617\n62688 94015\n79920 100000\n95889 100000\n40359 60463\n73123 100000\n53845 80722\n91429 100000\n13483 20162\n39965 59868\n93578 100000\n79821 100000\n69519 100000\n55150 82651\n44926 67291\n36242 54270\n63259 94878\n34650 51836\n508 760\n59863 89746\n43244 64795\n59758 89586\n29903 44726\n36878 55233\n37751 56541\n1436 2150\n52507 78708\n56433 84583\n54170 81206\n46738 70040\n35175 52623\n18354 27438\n13545 20253\n92884 100000\n88010 100000\n53259 79846\n50636 75889\n12545 18756\n63051 94563\n74448 100000\n23505 35184\n5720 8512\n44946 67322\n5356 7979\n21960 32855\n76958 100000\n89645 100000\n44361 66462\n53886 80783\n55803 83626\n80768 100000\n74040 100000\n99777 100000\n85367 100000\n63150 94712\n34904 52218\n13825 20667\n59102 88586\n4893 7274\n26499 39666\n22407 33535\n10858 16198\n21558 32249\n8078 12019\n47139 70654\n59148 88653\n39710 59487\n78907 100000\n47860 71736\n58817 88173\n20670 30911\n44512 66681\n55841 83689\n16575 24770\n4278 6362\n91924 100000\n37184 55687\n4443 6609\n24543 36749\n71170 100000\n54909 82299\n13345 19956\n61421 92126\n5176 7712\n95202 100000\n81322 100000\n22158 33157\n48064 72043\n91805 100000\n99301 100000\n52525 78734\n99176 100000\n19293 28850\n94246 100000\n74633 100000\n22457 33612\n45278 67834\n81007 100000\n97739 100000\n56671 84942\n75819 100000\n12747 19063\n89353 100000\n42926 64327\n25333 37918\n64979 97439\n38647 57888\n97365 100000\n60922 91359\n57824 86671\n84300 100000\n76138 100000\n79507 100000\n62775 94146\n58079 87058\n94309 100000\n59595 89335\n14876 22232\n41699 62481\n83518 100000\n73452 100000\n93789 100000\n60141 90173\n23737 35521\n74493 100000\n73878 100000\n45423 68049\n70723 100000\n78790 100000\n54498 81691\n68833 100000\n99275 100000\n25405 38025\n45986 68896\n23703 35475\n60329 90466\n2481 3714\n48077 72063\n17799 26610\n86175 100000\n79537 100000\n2268 3391\n60413 90591\n97037 100000\n53721 80535\n2064 3093\n83413 100000\n1251 1870\n68461 100000\n3613 5368\n82537 100000\n72848 100000\n7733 11532\n15897 23767\n56 83\n35622 53314\n27017 40427\n71234 100000\n5240 7805\n72770 100000\n55710 83482\n57850 86706\n88014 100000\n32015 47906\n43544 65260\n43063 64533\n85531 100000\n4374 6506\n66044 99064\n65527 98290\n75898 100000\n25083 37549\n45955 68844\n94967 100000\n60276 90381\n92141 100000\n73810 100000\n1215 1818\n64065 96075\n47298 70894\n16243 24287\n67334 100000\n65774 98656\n28989 43340\n2582 3866\n666 995\n97010 100000\n46658 69918\n19798 29606\n6594 9822\n84971 100000\n90956 100000\n17115 25572\n95006 100000\n97511 100000\n20474 30609\n62125 93186\n62442 93650\n47382 71019\n19073 28518\n10426 15571\n94723 100000\n40508 60687\n6606 9838\n84736 100000\n86288 100000\n39494 59170\n51658 77434\n67769 100000\n96308 100000\n44366 66468\n38146 57132\n38684 57942\n41133 61650\n28191 42163\n53295 79898\n33004 49367\n39442 59092\n300 441\n65790 98679\n58803 88148\n89265 100000\n57707 86500\n40685 60968\n68975 100000\n18897 28253\n67298 100000\n48822 73167\n29044 43425\n94883 100000\n82140 100000\n27748 41503\n20870 31207\n51339 76962\n42996 64431\n48999 73435\n15330 22903\n28278 42297\n99475 100000\n26489 39653\n28282 42303\n7723 11518\n71207 100000\n28966 43302\n8953 13351\n96662 100000\n32533 48666\n71592 100000\n64772 97129\n49963 74903\n14328 21406\n38501 57672\n17803 26618\n68059 100000\n62018 93027\n92065 100000\n39055 58493\n87678 100000\n30720 45958\n8324 12393\n97053 100000\n73424 100000\n15110 22574\n27893 41716\n54429 81588\n60902 91330\n47334 70944\n37999 56912\n4755 7069\n79806 100000\n64308 96433\n73434 100000\n34958 52298\n17992 26896\n50653 75916\n37606 56328\n13377 19999\n56998 85430\n9417 14044\n7900 11767\n25423 38053\n76059 100000\n67368 100000\n10653 15890\n2286 3420\n67938 100000\n58328 87434\n29490 44091\n3564 5297\n78119 100000\n39077 58527\n72110 100000\n55521 83215\n26989 40390\n26636 39876\n82900 100000\n25211 37740\n38383 57492\n79032 100000\n4725 7023\n77191 100000\n33535 50162\n61334 91995\n27382 40968\n41549 62267\n57755 86567\n67790 100000\n52292 78380\n12053 18039\n70850 100000\n7330 10932\n51059 76542\n22110 33082\n17430 26053\n76209 100000\n91767 100000\n12218 18276\n57803 86638\n59213 88753\n76215 100000\n62303 93451\n76353 100000\n95908 100000\n74385 100000\n43483 65169\n51547 77271\n84068 100000\n57472 86138\n20115 30066\n30800 46083\n15726 23507\n3377 5019\n16056 24007\n58723 88022\n19250 28790\n48876 73248\n33738 50468\n97303 100000\n93903 100000\n55917 83808\n88084 100000\n12036 18011\n80922 100000\n94534 100000\n35389 52949\n37572 56275\n96533 100000\n81105 100000\n16603 24811\n16990 25389\n47280 70864\n79050 100000\n69059 100000\n39610 59342\n91819 100000\n23871 35727\n48951 73365\n44137 66145\n91968 100000\n73313 100000\n98284 100000\n99380 100000\n87199 100000\n42586 63808\n89894 100000\n23538 35231\n49138 73653\n79898 100000\n33235 49711\n65985 98973\n28759 43002\n96979 100000\n81112 100000\n56716 85011\n15489 23148\n49410 74067\n75641 100000\n41534 62245\n60598 90871\n75109 100000\n777 1163\n34947 52281\n72325 100000\n66292 99435\n78761 100000\n4007 5952\n52789 79145\n28349 42404\n80689 100000\n20227 30223\n11680 17460\n14356 21445\n42203 63241\n71974 100000\n9200 13714\n61732 92600\n71702 100000\n7189 10720\n51253 76832\n44981 67378\n24311 36388\n76713 100000\n61357 92033\n49179 73716\n4764 7080\n45205 67722\n44310 66390\n72694 100000\n56197 84228\n25097 37567\n29338 43861\n36160 54141\n33257 49747\n81847 100000\n7575 11293\n93963 100000\n56539 84750\n70697 100000\n66200 99297\n41597 62332\n70868 100000\n37794 56604\n66210 99313\n92237 100000\n90299 100000\n59648 89419\n46145 69140\n39565 59276\n4081 6058\n48806 73143\n96671 100000\n18169 27160\n8757 13047\n89754 100000\n69972 100000\n87625 100000\n4357 6479\n25647 38385\n69218 100000\n91999 100000\n85445 100000\n23453 35103\n40618 60863\n79980 100000\n22583 33800\n73185 100000\n17646 26372\n72504 100000\n96164 100000\n46107 69078\n3254 4849\n58540 87750\n63804 95685\n83070 100000\n95531 100000\n47630 71385\n38806 58124\n92750 100000\n27009 40416\n38750 58046\n68995 100000\n9643 14383\n83242 100000\n55706 83476\n69011 100000\n84248 100000\n29100 43508\n43089 64571\n40763 61091\n116 170\n98539 100000\n23550 35249\n56077 84037\n16960 25343\n37739 56524\n97300 100000\n52687 78984\n61330 91989\n78001 100000\n88481 100000\n73261 100000\n71520 100000\n65013 97491\n68443 100000\n23390 35009\n12912 19310\n86215 100000\n97278 100000\n69527 100000\n73783 100000\n66624 99933\n38508 57685\n86241 100000\n91346 100000\n34704 51921\n99448 100000\n26267 39320\n90005 100000\n63621 95401\n15305 22866\n671 1004\n18291 27339\n9878 14744\n55085 82561\n56902 85293\n61431 92142\n27640 41347\n35793 53571\n3835 5697\n17920 26791\n52425 78583\n7892 11756\n23322 34914\n85125 100000\n53908 80811\n17792 26598\n82246 100000\n6962 10380\n94194 100000\n65577 98364\n35477 53091\n73301 100000\n59734 89550\n86451 100000\n41976 62906\n42761 64069\n9572 14282\n50193 75237\n64318 96448\n81547 100000\n86523 100000\n38148 57135\n86570 100000\n10431 15579\n66302 99450\n8911 13289\n64896 97317\n35024 52401\n86152 100000\n97492 100000\n44574 66773\n65411 98116\n19680 29430\n96962 100000\n33269 49764\n74911 100000\n15598 23314\n57370 85980\n42451 63615\n41551 62270\n93522 100000\n69028 100000\n19251 28792\n88263 100000\n88183 100000\n39776 59583\n27740 41494\n28189 42160\n19426 29049\n32933 49259\n37928 56804\n62175 93263\n39333 58921\n87503 100000\n48023 71979\n34207 51170\n24817 37152\n60710 91046\n132 191\n64676 96986\n10079 15045\n25591 38303\n63834 95730\n15674 23432\n59989 89934\n50086 75085\n6183 9223\n76819 100000\n68024 100000\n57459 86118\n36305 54361\n2056 3080\n58188 87219\n46373 69483\n61841 92757\n30305 45326\n34538 51677\n43645 65408\n10571 15777\n49259 73832\n93308 100000\n28046 41946\n5941 8849\n73724 100000\n23112 34596\n83112 100000\n9907 14786\n22551 33750\n48690 72965\n89958 100000\n59488 89169\n25152 37644\n66997 100000\n64543 96786\n28489 42602\n68865 100000\n38399 57519\n92262 100000\n4149 6170\n54771 82096\n97316 100000\n51461 77138\n25901 38764\n58659 87933\n83625 100000\n6016 8964\n90189 100000\n13470 20144\n1579 2356\n78113 100000\n43807 65650\n98251 100000\n56070 84028\n4438 6601\n89279 100000\n39558 59263\n39534 59235\n7918 11792\n44621 66836\n5212 7765\n33046 49432\n45812 68634\n64208 96282\n32813 49077\n93383 100000\n63223 94823\n40246 60292\n97908 100000\n22653 33904\n46450 69607\n18413 27522\n43730 65536\n80224 100000\n14447 21578\n10867 16212\n13659 20413\n2036 3051\n29991 44860\n60153 90190\n97490 100000\n45050 67472\n60777 91145\n36251 54283\n2628 3934\n48607 72845\n83603 100000\n7355 10967\n66013 99016\n70921 100000\n89621 100000\n16404 24515\n31692 47420\n28863 43159\n32935 49261\n61171 91733\n22257 33305\n17497 26151\n15459 23105\n82485 100000\n58279 87358\n28676 42877\n26153 39151\n70973 100000\n60765 91130\n46831 70181\n10728 16002\n21147 31626\n88933 100000\n2394 3585\n33977 50826\n31350 46907\n7024 10471\n88603 100000\n86443 100000\n32641 48819\n66538 99805\n82214 100000\n32371 48434\n90350 100000\n10923 16297\n5225 7782\n47248 70817\n64859 97261\n29659 44355\n52603 78850\n99124 100000\n87371 100000\n66369 99551\n34124 51048\n68885 100000\n62878 94300\n40847 61224\n7550 11257\n9688 14449\n46076 69032\n98568 100000\n24088 36048\n95884 100000\n97183 100000\n13553 20265\n56471 84642\n31517 47159\n88058 100000\n38402 57524\n12691 18978\n68317 100000\n59577 89305\n44304 66380\n88315 100000\n76682 100000\n2299 3441\n69047 100000\n84599 100000\n90020 100000\n16754 25033\n54334 81445\n1137 1700\n81864 100000\n8978 13389\n68471 100000\n63425 95119\n26100 39065\n74808 100000\n64032 96027\n38464 57622\n38528 57715\n24885 37249\n95709 100000\n20050 29968\n78291 100000\n60991 91464\n88998 100000\n92482 100000\n2188 3277\n20723 30991\n78416 100000\n39354 58954\n25047 37492\n52939 79377\n75216 100000\n1401 2095\n43055 64522\n67307 100000\n7795 11613\n64680 96992\n45993 68905\n4858 7223\n66955 100000\n5495 8189\n78945 100000\n16943 25318\n95538 100000\n19812 29627\n34250 51241\n62966 94433\n1261 1885\n66908 100000\n7258 10821\n50350 75476\n45109 67574\n26886 40239\n37335 55922\n28464 42572\n84893 100000\n4001 5943\n38735 58023\n77981 100000\n91215 100000\n40754 61077\n55594 83317\n65526 98288\n10039 14988\n17145 25616\n8509 12677\n59162 88675\n29349 43880\n11134 16612\n5183 7723\n33023 49397\n9940 14839\n71313 100000\n32375 48440\n17838 26674\n48554 72766\n18015 26929\n7611 11350\n68330 100000\n28865 43161\n51998 77943\n5317 7915\n76084 100000\n29025 43397\n43663 65434\n70945 100000\n67721 100000\n9967 14876\n87978 100000\n43608 65358\n75797 100000\n57479 86148\n38387 57500\n16208 24231\n77864 100000\n809 1211\n34341 51380\n4250 6321\n89670 100000\n91363 100000\n82151 100000\n21557 32248\n71068 100000\n10159 15157\n38892 58253\n71224 100000\n8979 13391\n57920 86820\n41620 62366\n92526 100000\n34135 51066\n33696 50401\n6344 9460\n70178 100000\n17833 26667\n27652 41360\n47300 70898\n75844 100000\n89191 100000\n11775 17608\n70536 100000\n53612 80370\n36497 54647\n73523 100000\n67140 100000\n67823 100000\n54159 81188\n44762 67047\n35715 53448\n26253 39300\n31262 46771\n35863 53681\n93514 100000\n74989 100000\n7122 10619\n12199 18249\n327 480\n7167 10688\n80568 100000\n47024 70477\n18630 27846\n58573 87798\n49357 73985\n16676 24916\n59423 89069\n93414 100000\n99640 100000\n97213 100000\n20519 30679\n79054 100000\n65195 97772\n17342 25915\n49857 74741\n30418 45495\n88484 100000\n58549 87762\n49861 74746\n39089 58545\n21649 32387\n35051 52442\n19619 29343\n4803 7143\n72575 100000\n53486 80176\n39823 59657\n3668 5452\n40504 60681\n9077 13536\n65806 98704\n54002 80953\n92594 100000\n89771 100000\n41268 61846\n63454 95163\n33281 49782\n34268 51269\n5990 8922\n12163 18197\n51225 76790\n41079 61570\n20354 30429\n9683 14442\n42512 63702\n61079 91599\n74190 100000\n38523 57707\n84897 100000\n6851 10209\n55304 82888\n14690 21947\n20031 29940\n85521 100000\n1292 1937\n21463 32103\n86030 100000\n67420 100000\n93824 100000\n89609 100000\n32891 49198\n60817 91206\n51887 77774\n89174 100000\n25799 38617\n90577 100000\n84004 100000\n53472 80156\n18464 27598\n56276 84344\n53600 80352\n67278 100000\n60009 89967\n69656 100000\n87513 100000\n44104 66093\n1592 2372\n58859 88231\n99582 100000\n74544 100000\n18327 27398\n11768 17597\n40483 60645\n40813 61173\n19539 29220\n45002 67408\n26307 39381\n54262 81342\n36466 54604\n88205 100000\n17527 26196\n26503 39674\n69765 100000\n14499 21661\n4706 6993\n55926 83823\n38124 57097\n77806 100000\n37552 56247\n99904 100000\n4176 6212\n46344 69434\n19743 29523\n28819 43092\n38210 57224\n11941 17861\n68470 100000\n56824 85174\n74150 100000\n27772 41536\n92498 100000\n96553 100000\n28721 42947\n49887 74788\n95765 100000\n96776 100000\n3371 5010\n38901 58264\n13443 20103\n71813 100000\n90659 100000\n76365 100000\n29681 44392\n5042 7510\n15364 22952\n9564 14271\n94197 100000\n51863 77740\n92423 100000\n32235 48237\n5832 8685\n30012 44892\n23517 35200\n36449 54578\n31778 47552\n38792 58105\n82786 100000\n67411 100000\n95813 100000\n53924 80837\n30303 45323\n39250 58793\n52658 78939\n62232 93349\n77402 100000\n244 361\n65594 98390\n57893 86775\n91372 100000\n58480 87659\n1737 2589\n68418 100000\n48407 72549\n92450 100000\n54930 82331\n14396 21505\n11245 16786\n84250 100000\n38688 57948\n45927 68801\n63656 95451\n46133 69121\n47580 71315\n10706 15970\n5292 7881\n39954 59849\n71853 100000\n6830 10174\n52966 79420\n68397 100000\n68774 100000\n14336 21417\n22797 34124\n19732 29506\n25383 37991\n90552 100000\n10103 15082\n44414 66536\n96515 100000\n58167 87189\n63910 95851\n62787 94163\n4727 7026\n59532 89236\n41254 61826\n2230 3336\n76760 100000\n48005 71951\n38422 57554\n37131 55607\n11660 17431\n11415 17038\n49949 74881\n87912 100000\n14087 21049\n12327 18439\n55372 82990\n39586 59304\n26090 39049\n25220 37753\n43519 65222\n14805 22119\n40195 60212\n25784 38594\n42781 64098\n63117 94668\n17004 25406\n14860 22206\n60161 90203\n93573 100000\n75929 100000\n27802 41582\n9424 14057\n99631 100000\n28618 42788\n11219 16746\n60474 90684\n23083 34554\n25231 37765\n43258 64818\n36540 54716\n7246 10804\n28818 43091\n17753 26535\n16164 24164\n32301 48338\n35166 52612\n73157 100000\n59039 88497\n82507 100000\n48741 73038\n89485 100000\n11503 17185\n79751 100000\n60597 90870\n34909 52225\n83086 100000\n6149 9173\n43092 64574\n91512 100000\n32785 49033\n32613 48779\n98186 100000\n53050 79540\n5371 8001\n67530 100000\n25499 38166\n96886 100000\n88138 100000\n73315 100000\n46608 69841\n66424 99635\n7543 11248\n90053 100000\n10942 16326\n89775 100000\n57879 86753\n60969 91433\n72103 100000\n25583 38292\n49558 74293\n55763 83564\n12801 19148\n12759 19081\n12025 17993\n68501 100000\n68161 100000\n79684 100000\n30797 46077\n49837 74713\n30985 46360\n26217 39244\n35428 53009\n76296 100000\n11130 16606\n4537 6746\n83566 100000\n3669 5454\n65457 98184\n77621 100000\n64996 97465\n96334 100000\n73928 100000\n49113 73616\n37430 56061\n6200 9248\n67180 100000\n45256 67800\n255 376\n4155 6179\n39691 59456\n90384 100000\n50429 75591\n97326 100000\n91983 100000\n75406 100000\n80130 100000\n71922 100000\n58152 87167\n36859 55209\n41948 62860\n94220 100000\n30173 45131\n19263 28808\n96902 100000\n95193 100000\n31118 46551\n61442 92156\n4869 7239\n42358 63469\n80287 100000\n78376 100000\n53816 80678\n68299 100000\n89893 100000\n41053 61535\n60480 90694\n71402 100000\n49697 74499\n93911 100000\n80874 100000\n96043 100000\n54638 81894\n39607 59338\n93703 100000\n5126 7633\n89919 100000\n68867 100000\n5980 8904\n46698 69980\n52571 78804\n50980 76424\n11799 17644\n3355 4986\n17288 25830\n35482 53099\n69159 100000\n57330 85919\n34531 51666\n65540 98310\n29425 43996\n42246 63307\n66946 100000\n86405 100000\n54988 82421\n4377 6510\n91611 100000\n99194 100000\n97477 100000\n74622 100000\n22921 34319\n5403 8051\n14031 20970\n44938 67310\n71874 100000\n45557 68248\n4156 6180\n61504 92247\n35748 53503\n57766 86585\n13813 20650\n10880 16236\n14244 21281\n68826 100000\n57944 86856\n94386 100000\n54292 81386\n22887 34264\n83420 100000\n7312 10905\n64485 96697\n21022 31434\n82435 100000\n98076 100000\n15017 22437\n63993 95974\n61398 92092\n83281 100000\n42442 63601\n56679 84955\n91676 100000\n33825 50597\n48563 72781\n81813 100000\n38251 57287\n29074 43471\n48109 72111\n30864 46183\n1645 2447\n63969 95937\n7126 10625\n31844 47652\n74599 100000\n57835 86685\n61364 92043\n983 1469\n25204 37726\n11776 17609\n55406 83038\n58110 87102\n53692 80492\n12656 18926\n53081 79580\n85791 100000\n21469 32111\n90273 100000\n59451 89112\n99914 100000\n534 797\n31327 46871\n12722 19026\n17645 26371\n17586 26282\n16032 23969\n47754 71572\n84885 100000\n7426 11075\n48621 72867\n96275 100000\n87431 100000\n63400 95081\n53145 79674\n35738 53488\n32024 47921\n4179 6216\n96162 100000\n31635 47333\n50969 76406\n94535 100000\n75818 100000\n78346 100000\n50337 75458\n40579 60806\n17520 26185\n70657 100000\n23930 35814\n37567 56270\n6197 9244\n6028 8982\n60483 90699\n10876 16229\n11597 17332\n99283 100000\n44347 66445\n26362 39467\n62936 94390\n28316 42350\n61724 92589\n59010 88452\n76726 100000\n33442 50021\n21814 32634\n24836 37180\n46888 70268\n62298 93444\n17039 25461\n19994 29889\n47184 70723\n58432 87588\n8391 12490\n59334 88935\n26898 40256\n28405 42488\n64424 96611\n95347 100000\n35618 53308\n88118 100000\n68839 100000\n4447 6614\n20953 31332\n70975 100000\n73717 100000\n88908 100000\n17107 25561\n86498 100000\n4451 6620\n80534 100000\n13958 20860\n22078 33034\n68210 100000\n43850 65718\n85074 100000\n79077 100000\n29806 44580\n90557 100000\n14149 21141\n24644 36896\n2243 3354\n4581 6811\n59971 89909\n28670 42868\n45599 68312\n49300 73892\n42997 64433\n82255 100000\n40572 60795\n29058 43448\n55200 82731\n95526 100000\n80434 100000\n55946 83851\n9477 14133\n34725 51948\n26577 39786\n5804 8641\n64354 96503\n86096 100000\n38974 58370\n35067 52464\n74630 100000\n12693 18981\n15064 22505\n7453 11113\n57622 86365\n33558 50195\n26405 39531\n380 558\n94603 100000\n55222 82764\n85617 100000\n36165 54149\n94835 100000\n23110 34592\n61089 91613\n90396 100000\n29304 43810\n28238 42237\n16442 24572\n92519 100000\n24226 36262\n77272 100000\n74394 100000\n649 973\n36182 54178\n55324 82916\n65033 97520\n56737 85044\n73189 100000\n3317 4933\n47684 71465\n13378 20000\n21740 32519\n77099 100000\n45046 67467\n30997 46377\n75949 100000\n91480 100000\n73177 100000\n5874 8749\n60732 91078\n90162 100000\n98595 100000\n55290 82868\n53498 80196\n12614 18860\n14208 21226\n37193 55701\n5749 8556\n36843 55183\n19359 28953\n47032 70490\n13195 19736\n58707 88002\n81076 100000\n21659 32400\n35749 53505\n67562 100000\n19597 29310\n32752 48985\n42731 64025\n21674 32423\n93504 100000\n83343 100000\n55143 82642\n27724 41468\n3399 5052\n22639 33885\n12014 17975\n58645 87908\n37027 55450\n35089 52495\n10181 15187\n12821 19176\n54628 81879\n54724 82026\n75407 100000\n90486 100000\n46841 70197\n87690 100000\n63260 94879\n67978 100000\n21518 32183\n84104 100000\n12298 18401\n58003 86941\n27835 41635\n91902 100000\n42159 63177\n63280 94910\n30833 46134\n56515 84713\n32859 49147\n39167 58666\n13136 19647\n22802 34132\n69118 100000\n36228 54247\n94063 100000\n43676 65458\n18499 27652\n79441 100000\n19312 28880\n74311 100000\n81757 100000\n44152 66168\n46037 68976\n67666 100000\n41765 62581\n42073 63049\n62777 94148\n10282 15338\n78582 100000\n5712 8501\n71559 100000\n67710 100000\n50052 75037\n2947 4401\n15380 22978\n50205 75255\n26523 39701\n55513 83201\n22623 33862\n78270 100000\n87793 100000\n46779 70102\n63083 94614\n2458 3679\n94556 100000\n86818 100000\n2334 3497\n98480 100000\n82036 100000\n86550 100000\n80861 100000\n16570 24763\n69816 100000\n83849 100000\n29889 44704\n2639 3951\n10791 16100\n48849 73205\n1012 1516\n87215 100000\n63560 95317\n69822 100000\n28485 42597\n23760 35554\n42110 63105\n40965 61400\n81840 100000\n9648 14391\n65844 98757\n23197 34720\n54664 81932\n38189 57195\n45526 68203\n83581 100000\n33440 50018\n21739 32518\n98943 100000\n46105 69075\n79167 100000\n59693 89488\n47528 71238\n52378 78508\n70398 100000\n64135 96176\n48671 72942\n7169 10692\n96921 100000\n7120 10615\n39022 58442\n15873 23733\n13003 19441\n79087 100000\n96483 100000\n78934 100000\n22224 33252\n95844 100000\n76641 100000\n40634 60886\n42369 63488\n72191 100000\n88170 100000\n45038 67457\n82862 100000\n21768 32559\n87490 100000\n3841 5707\n82219 100000\n683 1023\n53221 79787\n21831 32661\n79961 100000\n72090 100000\n26771 40074\n33272 49767\n96895 100000\n38325 57401\n356 520\n31095 46517\n3285 4892\n54307 81407\n34527 51659\n58286 87369\n2484 3719\n6977 10402\n78793 100000\n67597 100000\n16778 25069\n80540 100000\n10550 15745\n21544 32226\n71218 100000\n79960 100000\n80039 100000\n64747 97088\n20716 30982\n46668 69932\n95962 100000\n43128 64627\n50161 75191\n7979 11879\n74191 100000\n29277 43767\n79492 100000\n39770 59572\n11944 17866\n56891 85277\n16160 24159\n10032 14979\n70195 100000\n24691 36963\n47101 70594\n49282 73867\n33188 49645\n87884 100000\n13535 20236\n86049 100000\n15101 22561\n83947 100000\n25182 37689\n84092 100000\n90206 100000\n82745 100000\n57851 86708\n56241 84294\n19026 28448\n20564 30747\n39109 58575\n87653 100000\n32364 48426\n7048 10507\n41937 62843\n33844 50623\n31721 47468\n2966 4424\n6680 9944\n76338 100000\n9509 14184\n71754 100000\n95634 100000\n33820 50590\n30079 44988\n70076 100000\n2142 3207\n52322 78427\n2625 3929\n13459 20124\n47640 71397\n48148 72170\n22023 32951\n62124 93184\n10705 15968\n61586 92371\n68041 100000\n94715 100000\n36229 54249\n91080 100000\n3206 4778\n15174 22667\n26540 39728\n25026 37462\n81802 100000\n95826 100000\n779 1167\n13428 20081\n58820 88177\n50973 76413\n95774 100000\n4487 6676\n54642 81899\n29413 43976\n49239 73803\n87187 100000\n99288 100000\n89148 100000\n46797 70128\n33967 50812\n16401 24512\n31865 47683\n82853 100000\n3805 5653\n26957 40342\n89001 100000\n17090 25535\n45607 68323\n43292 64874\n64143 96189\n14863 22211\n78618 100000\n95471 100000\n84768 100000\n41790 62617\n23265 34829\n44120 66118\n45362 67959\n41508 62206\n72098 100000\n79759 100000\n8691 12949\n38777 58082\n83135 100000\n43982 65914\n80591 100000\n25626 38353\n39259 58807\n77458 100000\n76500 100000\n848 1271\n23194 34715\n87689 100000\n14696 21955\n44597 66806\n4832 7185\n88859 100000\n81030 100000\n60935 91380\n93701 100000\n64668 96973\n29273 43763\n70916 100000\n49562 74300\n97719 100000\n33718 50437\n59401 89035\n48314 72407\n22084 33042\n17355 25938\n84401 100000\n86205 100000\n78721 100000\n3310 4925\n48856 73215\n99093 100000\n59836 89708\n5071 7552\n4611 6853\n28926 43245\n67422 100000\n53001 79474\n29716 44445\n6113 9110\n89225 100000\n9748 14545\n76830 100000\n63640 95427\n38107 57075\n86378 100000\n2429 3636\n8976 13386\n6841 10190\n881 1321\n21007 31413\n46134 69123\n79983 100000\n84260 100000\n91325 100000\n59895 89789\n10922 16296\n98131 100000\n15123 22593\n34776 52023\n42805 64134\n68287 100000\n79212 100000\n18783 28079\n29164 43602\n23458 35110\n32326 48371\n49591 74343\n71588 100000\n42610 63842\n52990 79457\n63900 95833\n57248 85798\n37926 56802\n71765 100000\n86286 100000\n5956 8873\n82087 100000\n6082 9065\n38314 57382\n69332 100000\n68900 100000\n61538 92300\n90076 100000\n53661 80443\n99826 100000\n93281 100000\n1822 2721\n26844 40176\n48588 72814\n12719 19020\n50756 76080\n23184 34700\n65083 97595\n12571 18794\n43535 65247\n61517 92266\n8212 12222\n20849 31178\n41367 61991\n72506 100000\n9799 14622\n86538 100000\n45906 68771\n8145 12123\n59363 88982\n30871 46195\n79579 100000\n96145 100000\n96136 100000\n88024 100000\n15185 22685\n80156 100000\n19483 29134\n38451 57601\n1725 2572\n98447 100000\n62964 94431\n81552 100000\n48111 72114\n32231 48231\n34515 51644\n57382 85997\n7198 10733\n25537 38218\n17658 26394\n84445 100000\n94201 100000\n54267 81351\n38697 57964\n49386 74029\n54845 82207\n12071 18067\n58940 88348\n29981 44846\n73130 100000\n21788 32590\n43879 65762\n88926 100000\n10057 15015\n92333 100000\n22336 33429\n85567 100000\n6806 10138\n54022 80980\n83072 100000\n34248 51238\n52169 78198\n39072 58519\n4484 6671\n96957 100000\n14551 21737\n96038 100000\n84981 100000\n59957 89888\n11414 17036\n33857 50645\n32593 48748\n74480 100000\n42837 64184\n78835 100000\n80474 100000\n81121 100000\n24043 35982\n49041 73499\n8393 12493\n91010 100000\n64038 96034\n92147 100000\n13164 19691\n60174 90219\n93300 100000\n89016 100000\n22366 33476\n82276 100000\n60364 90516\n77494 100000\n82271 100000\n47363 70992\n60037 90013\n52848 79236\n76829 100000\n79794 100000\n11688 17473\n45734 68517\n44121 66119\n43761 65583\n94361 100000\n75730 100000\n87602 100000\n7049 10508\n11453 17102\n83286 100000\n99473 100000\n5761 8575\n6673 9936\n78315 100000\n11737 17549\n46695 69977\n20334 30398\n29274 43764\n75969 100000\n22219 33245\n32110 48050\n69906 100000\n42976 64402\n11454 17104\n75449 100000\n71049 100000\n82145 100000\n26006 38924\n50710 76012\n35994 53881\n61561 92334\n36830 55163\n74489 100000\n52368 78493\n11764 17590\n97100 100000\n91632 100000\n66032 99042\n94291 100000\n10191 15204\n98812 100000\n91681 100000\n5335 7943\n68577 100000\n23258 34817\n22285 33348\n70149 100000\n69720 100000\n37917 56791\n87008 100000\n18775 28070\n83442 100000\n47868 71749\n52224 78282\n72623 100000\n5953 8868\n30266 45269\n10912 16281\n73066 100000\n77086 100000\n47873 71757\n47566 71293\n80265 100000\n16290 24351\n51387 77038\n28381 42449\n96176 100000\n98314 100000\n99702 100000\n41032 61501\n34461 51564\n10516 15696\n84815 100000\n52686 78982\n31730 47482\n46080 69037\n72678 100000\n97571 100000\n86177 100000\n20580 30772\n10345 15439\n63705 95527\n22627 33867\n49066 73542\n67454 100000\n10311 15383\n90614 100000\n13357 19971\n89696 100000\n47871 71754\n6623 9863\n54098 81095\n19195 28701\n4275 6356\n94007 100000\n41308 61901\n8947 13344\n24746 37047\n28950 43278\n81020 100000\n40023 59955\n5238 7801\n82105 100000\n50273 75360\n83558 100000\n41500 62193\n24858 37209\n3031 4520\n59361 88980\n62702 94036\n61368 92048\n11337 16925\n37437 56073\n58298 87390\n28226 42218\n65434 98151\n92072 100000\n35828 53626\n90133 100000\n40655 60921\n45905 68770\n60898 91323\n97384 100000\n51135 76651\n19163 28654\n23830 35666\n37469 56126\n88257 100000\n37678 56436\n85418 100000\n13278 19852\n85749 100000\n2453 3671\n66373 99558\n7152 10666\n14348 21435\n75426 100000\n70162 100000\n76196 100000\n24971 37373\n15358 22944\n81832 100000\n91758 100000\n11838 17706\n117 171\n66738 100000\n18884 28236\n72094 100000\n4567 6787\n61228 91820\n32344 48398\n69897 100000\n32163 48129\n78472 100000\n43071 64546\n92070 100000\n61294 91930\n26130 39113\n95408 100000\n23746 35535\n18764 28055\n31578 47254\n97638 100000\n56242 84295\n71517 100000\n88295 100000\n71279 100000\n12342 18459\n73025 100000\n89386 100000\n19728 29500\n61572 92348\n83639 100000\n1186 1773\n66577 99863\n79290 100000\n59150 88656\n63036 94541\n15817 23648\n16080 24045\n50767 76099\n4878 7253\n65574 98359\n21767 32557\n83798 100000\n68308 100000\n73221 100000\n2063 3092\n24040 35977\n1041 1559\n24599 36829\n30559 45706\n18910 28274\n1606 2391\n11521 17213\n53070 79568\n22560 33765\n61013 91497\n84150 100000\n83956 100000\n6521 9719\n89415 100000\n19563 29258\n67647 100000\n60439 90630\n8909 13285\n54927 82327\n65270 97888\n48217 72267\n59376 88999\n48001 71946\n13067 19543\n39617 59350\n38865 58213\n23861 35710\n60896 91321\n92042 100000\n72638 100000\n24726 37013\n51531 77244\n41740 62543\n73285 100000\n97605 100000\n8058 11989\n70474 100000\n60197 90259\n57278 85842\n11492 17165\n63393 95070\n77210 100000\n22092 33054\n3868 5744\n71872 100000\n6526 9728\n19095 28553\n26955 40339\n95801 100000\n87857 100000\n33560 50198\n62527 93776\n7864 11716\n33048 49436\n25726 38505\n55564 83274\n77859 100000\n75681 100000\n10126 15114\n28097 42023\n40238 60280\n12339 18454\n6250 9321\n70794 100000\n3728 5546\n94171 100000\n53127 79649\n12527 18728\n14202 21216\n48788 73116\n58403 87545\n55119 82607\n86587 100000\n48926 73325\n83958 100000\n97277 100000\n83204 100000\n70746 100000\n15205 22715\n66585 99874\n42504 63688\n46942 70350\n4930 7334\n58943 88352\n57350 85950\n16409 24523\n41186 61734\n48300 72389\n96351 100000\n3316 4932\n38196 57203\n39528 59226\n56626 84877\n86972 100000\n14676 21924\n33260 49751\n20458 30588\n66506 99754\n82568 100000\n23346 34945\n3417 5077\n30640 45836\n12251 18332\n23279 34849\n50099 75104\n97737 100000\n14688 21943\n60649 90953\n13645 20398\n13766 20581\n69814 100000\n91340 100000\n84116 100000\n67057 100000\n25251 37796\n38026 56952\n75488 100000\n59869 89755\n24121 36097\n89738 100000\n34384 51453\n38169 57163\n13687 20455\n48634 72886\n24009 35931\n81415 100000\n79703 100000\n21075 31514\n41538 62252\n96685 100000\n41461 62136\n99225 100000\n74751 100000\n83992 100000\n52287 78373\n95717 100000\n99614 100000\n20683 30929\n13603 20338\n15308 22870\n1552 2316\n53863 80748\n34755 51990\n78078 100000\n78685 100000\n22209 33231\n47840 71706\n46734 70034\n12557 18774\n16822 25132\n93214 100000\n69821 100000\n29509 44122\n15414 23028\n409 607\n64448 96647\n35572 53237\n91128 100000\n76529 100000\n34927 52252\n72092 100000\n48124 72135\n72000 100000\n33909 50726\n34164 51109\n28301 42329\n76553 100000\n78876 100000\n72521 100000\n72999 100000\n11898 17796\n66941 100000\n92511 100000\n41941 62848\n37632 56368\n73813 100000\n88644 100000\n77239 100000\n37498 56168\n41982 62913\n42657 63914\n51707 77512\n51890 77779\n13338 19945\n14713 21982\n69988 100000\n74898 100000\n54991 82426\n76372 100000\n98174 100000\n86940 100000\n65795 98687\n70358 100000\n25709 38481\n21417 32029\n63469 95186\n81062 100000\n49396 74044\n26546 39739\n13309 19902\n16650 24880\n43685 65469\n27170 40660\n64641 96932\n66846 100000\n75654 100000\n8349 12426\n51120 76628\n8018 11935\n3452 5126\n74388 100000\n12000 17955\n62037 93058\n35033 52416\n81178 100000\n6271 9353\n64649 96944\n7519 11212\n70659 100000\n15065 22507\n15080 22529\n77422 100000\n10984 16388\n20226 30222\n64788 97154\n54154 81180\n74057 100000\n86696 100000\n5020 7472\n10124 15111\n14434 21558\n23582 35297\n91088 100000\n34392 51465\n3569 5306\n61359 92036\n87022 100000\n45831 68660\n80011 100000\n16569 24761\n62233 93351\n5596 8332\n70606 100000\n58247 87310\n94083 100000\n73159 100000\n80866 100000\n50718 76025\n21175 31666\n38256 57294\n7760 11567\n27663 41378\n58746 88057\n13843 20692\n38454 57606\n50140 75162\n13340 19949\n37784 56591\n66445 99663\n88963 100000\n82028 100000\n29735 44471\n41416 62066\n33513 50130\n48925 73323\n32828 49098\n94373 100000\n86866 100000\n99126 100000\n51330 76947\n33920 50743\n4213 6267\n22032 32964\n400 590\n90646 100000\n54425 81582\n84472 100000\n5734 8536\n69585 100000\n32923 49244\n26479 39641\n4229 6291\n34387 51458\n99860 100000\n33060 49455\n46600 69829\n87411 100000\n38908 58272\n73540 100000\n89003 100000\n34518 51648\n44063 66031\n75753 100000\n12346 18465\n59738 89555\n80347 100000\n82879 100000\n80300 100000\n82798 100000\n47469 71148\n56829 85182\n75976 100000\n56031 83972\n94785 100000\n2834 4228\n29836 44626\n71000 100000\n46449 69605\n84793 100000\n57077 85551\n13284 19862\n46439 69589\n43112 64602\n78404 100000\n3117 4644\n62978 94452\n80411 100000\n51938 77853\n13080 19561\n56682 84958\n74375 100000\n27967 41825\n89987 100000\n37717 56494\n51258 76839\n38944 58323\n2492 3731\n87741 100000\n51457 77131\n83123 100000\n32146 48104\n29460 44047\n83897 100000\n35321 52840\n977 1460\n54114 81120\n61684 92526\n22523 33707\n74165 100000\n30626 45815\n79363 100000\n18752 28038\n75212 100000\n24000 35920\n33854 50639\n61956 92934\n44273 66334\n72378 100000\n37203 55716\n30069 44975\n98728 100000\n28289 42313\n66322 99481\n70286 100000\n15377 22973\n41595 62329\n87468 100000\n56193 84223\n84804 100000\n60138 90169\n13126 19630\n83282 100000\n68140 100000\n77727 100000\n32366 48428\n42139 63146\n88574 100000\n47150 70671\n49553 74285\n1091 1633\n10643 15876\n83924 100000\n21257 31794\n1361 2034\n64407 96587\n10795 16105\n62069 93105\n87952 100000\n87999 100000\n3807 5655\n98573 100000\n3560 5291\n23071 34535\n66979 100000\n36978 55375\n19063 28504\n1005 1506\n89388 100000\n95201 100000\n84419 100000\n87124 100000\n63039 94546\n70879 100000\n17137 25602\n66786 100000\n16256 24304\n2548 3820\n28424 42516\n17475 26120\n55351 82957\n31196 46667\n75934 100000\n44487 66641\n2590 3878\n82096 100000\n15415 23030\n11839 17708\n22762 34067\n54619 81864\n1240 1855\n76539 100000\n31100 46525\n82603 100000\n30959 46326\n51747 77572\n24677 36943\n92495 100000\n24079 36036\n81236 100000\n81293 100000\n48142 72161\n85891 100000\n90318 100000\n38417 57548\n96681 100000\n12323 18434\n38321 57394\n39149 58640\n20451 30577\n37836 56664\n80713 100000\n78306 100000\n15047 22482\n60250 90340\n11102 16568\n20868 31204\n75247 100000\n16087 24056\n36107 54062\n29663 44363\n30026 44913\n35317 52833\n53160 79695\n8740 13022\n72076 100000\n91879 100000\n680 1019\n33950 50788\n47676 71453\n47608 71356\n47946 71869\n97924 100000\n31221 46702\n47367 70997\n32468 48579\n11334 16919\n4550 6764\n87951 100000\n2023 3030\n21999 32914\n1704 2541\n24999 37419\n68157 100000\n85088 100000\n32213 48205\n57933 86840\n13922 20806\n84558 100000\n63760 95615\n19691 29445\n20350 30423\n68391 100000\n56973 85394\n76388 100000\n24107 36075\n65749 98621\n60335 90475\n53543 80260\n97119 100000\n8482 12633\n85166 100000\n98127 100000\n87606 100000\n63482 95202\n70251 100000\n98086 100000\n42744 64046\n86365 100000\n24718 37002\n71719 100000\n59335 88937\n84134 100000\n98151 100000\n40271 60328\n66688 100000\n30841 46147\n47170 70699\n7362 10980\n94321 100000\n32425 48514\n87875 100000\n63119 94671\n36150 54126\n9334 13917\n45381 67988\n86465 100000\n27342 40909\n81160 100000\n20269 30289\n42962 64381\n27691 41421\n54428 81586\n59603 89349\n78664 100000\n35270 52767\n67672 100000\n87734 100000\n87193 100000\n29561 44204\n56300 84383\n26121 39099\n96152 100000\n93156 100000\n17408 26018\n20005 29903\n16421 24539\n76724 100000\n19862 29702\n68986 100000\n59031 88481\n83710 100000\n55140 82638\n19893 29742\n25115 37595\n76739 100000\n53393 80041\n90774 100000\n57690 86471\n4075 6050\n13711 20492\n42965 64386\n31497 47131\n36727 55004\n21914 32791\n85622 100000\n78464 100000\n38067 57015\n53385 80029\n62909 94348\n98508 100000\n58670 87949\n50062 75051\n74325 100000\n23273 34840\n11365 16965\n26711 39985\n78324 100000\n87162 100000\n65303 97945\n8512 12681\n85431 100000\n94503 100000\n12908 19304\n57682 86459\n48630 72880\n91274 100000\n53898 80799\n81637 100000\n25428 38061\n98469 100000\n60927 91367\n61285 91915\n23700 35472\n27245 40770\n84142 100000\n48009 71958\n62811 94203\n27498 41135\n89816 100000\n59558 89279\n71109 100000\n67603 100000\n51807 77659\n85386 100000\n33222 49692\n4093 6076\n50874 76259\n28190 42161\n3478 5166\n20848 31176\n723 1080\n82194 100000\n66520 99775\n49732 74552\n97058 100000\n66992 100000\n37091 55550\n1218 1823\n94565 100000\n3565 5299\n22718 34002\n33198 49659\n26135 39121\n68641 100000\n46958 70378\n61779 92667\n18772 28065\n90117 100000\n32609 48772\n85129 100000\n34196 51153\n3698 5498\n80045 100000\n5863 8732\n59189 88717\n99658 100000\n15360 22947\n18184 27181\n93707 100000\n21440 32066\n53403 80055\n53746 80575\n78600 100000\n47069 70546\n3321 4939\n95835 100000\n96484 100000\n65688 98528\n50111 75120\n69634 100000\n20249 30258\n63233 94837\n92032 100000\n7115 10608\n58981 88410\n56606 84845\n8086 12032\n89648 100000\n89411 100000\n63943 95900\n27903 41730\n67221 100000\n7354 10966\n69432 100000\n51972 77907\n29657 44353\n28212 42197\n7902 11769\n49859 74744\n55310 82897\n83827 100000\n40088 60050\n29037 43414\n57606 86340\n12287 18389\n67168 100000\n91877 100000\n16052 24001\n55962 83875\n70562 100000\n90567 100000\n55136 82633\n43222 64758\n68306 100000\n75276 100000\n12988 19421\n54587 81823\n61755 92633\n42043 63006\n37153 55640\n39062 58504\n82123 100000\n34809 52072\n9400 14018\n38260 57300\n22707 33984\n47575 71307\n67914 100000\n26954 40337\n745 1113\n58009 86952\n72353 100000\n79208 100000\n78272 100000\n6026 8978\n94374 100000\n16314 24386\n74916 100000\n36570 54765\n18705 27967\n47518 71222\n80034 100000\n19797 29604\n67380 100000\n87133 100000\n26459 39611\n8449 12578\n64615 96894\n32879 49177\n62213 93319\n4255 6329\n32010 47899\n589 882\n30750 46004\n5018 7469\n83521 100000\n2322 3477\n34153 51091\n72280 100000\n69474 100000\n92880 100000\n29315 43825\n88755 100000\n45565 68257\n29570 44215\n12987 19419\n22471 33630\n60926 91365\n56857 85225\n42386 63516\n49569 74310\n5131 7639\n38984 58386\n42168 63190\n10836 16163\n53305 79915\n73406 100000\n98552 100000\n48260 72331\n43995 65928\n45881 68738\n25224 37758\n60571 90834\n53134 79657\n52348 78460\n18069 27010\n53965 80898\n32605 48766\n11700 17495\n73402 100000\n4758 7073\n55167 82679\n62893 94322\n93118 100000\n82893 100000\n82574 100000\n63064 94583\n49020 73465\n61474 92202\n89857 100000\n27371 40950\n10177 15182\n36777 55080\n28093 42018\n27973 41835\n70884 100000\n7643 11398\n24655 36911\n20022 29927\n27941 41786\n84520 100000\n78571 100000\n92756 100000\n29536 44164\n3379 5023\n22456 33610\n95608 100000\n41275 61856\n66612 99917\n66404 99605\n89827 100000\n58561 87779\n17328 25893\n24855 37206\n46402 69528\n94457 100000\n44009 65951\n92686 100000\n36626 54854\n38408 57532\n69961 100000\n38719 57995\n2971 4431\n10322 15402\n57525 86218\n41252 61823\n49243 73808\n85255 100000\n13555 20268\n13741 20539\n22909 34299\n30256 45254\n61073 91588\n57119 85610\n74848 100000\n17559 26244\n65398 98093\n71424 100000\n55949 83856\n45842 68677\n90845 100000\n59027 88476\n41562 62283\n13684 20451\n733 1095\n95781 100000\n38802 58118\n74160 100000\n86528 100000\n63487 95209\n28690 42898\n75789 100000\n17557 26241\n58092 87078\n19205 28714\n83259 100000\n88329 100000\n15651 23396\n67062 100000\n18218 27231\n51244 76820\n68229 100000\n75902 100000\n65875 98803\n64662 96965\n47216 70772\n74567 100000\n78 114\n43475 65157\n72232 100000\n28421 42512\n2423 3627\n88383 100000\n26144 39138\n22713 33995\n20729 31001\n93805 100000\n78901 100000\n43684 65467\n51650 77422\n39272 58825\n66179 99269\n16057 24008\n80509 100000\n51517 77222\n15882 23746\n20020 29924\n28132 42078\n62015 93023\n46 67\n44626 66844\n86146 100000\n55458 83118\n51548 77273\n4559 6775\n56809 85153\n94517 100000\n82953 100000\n32527 48659\n24704 36982\n93351 100000\n21906 32779\n28326 42366\n13927 20812\n45778 68586\n77344 100000\n25032 37471\n26356 39458\n71389 100000\n19779 29579\n91878 100000\n86182 100000\n48476 72653\n77979 100000\n92305 100000\n35011 52383\n37411 56033\n86420 100000\n46812 70153\n81759 100000\n30141 45083\n99017 100000\n27796 41572\n3657 5436\n25649 38388\n30096 45014\n88052 100000\n51878 77761\n90834 100000\n91201 100000\n57688 86469\n45070 67507\n22103 33070\n58834 88197\n12225 18286\n99635 100000\n50898 76298\n85298 100000\n97699 100000\n61355 92029\n86719 100000\n30563 45712\n73140 100000\n42564 63780\n95805 100000\n45597 68308\n37016 55433\n62686 94012\n85388 100000\n61966 92951\n77741 100000\n17256 25781\n54275 81361\n61388 92076\n63077 94603\n33149 49592\n64855 97255\n56946 85355\n60609 90889\n73582 100000\n28715 42936\n76586 100000\n91216 100000\n87026 100000\n81502 100000\n31515 47155\n99002 100000\n9519 14198\n39414 59051\n63262 94882\n86541 100000\n7309 10900\n97647 100000\n63099 94639\n95581 100000\n49874 74767\n90841 100000\n60525 90763\n71768 100000\n9370 13973\n86823 100000\n8601 12816\n6439 9595\n25939 38823\n47308 70908\n13016 19462\n60229 90310\n20156 30122\n14742 22026\n87300 100000\n75948 100000\n35537 53188\n33367 49910\n82494 100000\n82408 100000\n11419 17046\n91409 100000\n66690 100000\n20805 31113\n97203 100000\n51066 76550\n71433 100000\n97950 100000\n58477 87654\n84976 100000\n90710 100000\n88544 100000\n30120 45053\n36764 55061\n44678 66925\n58689 87976\n82827 100000\n89444 100000\n15697 23464\n56774 85098\n55084 82560\n98265 100000\n61660 92488\n1001 1499\n82280 100000\n24505 36687\n89341 100000\n2259 3379\n22299 33371\n18731 28007\n73107 100000\n32032 47933\n82850 100000\n15386 22986\n92546 100000\n49305 73901\n85683 100000\n52364 78488\n74418 100000\n77470 100000\n96749 100000\n79108 100000\n30824 46120\n58831 88194\n67799 100000\n27510 41155\n529 788\n33468 50060\n48875 73246\n4165 6196\n16767 25053\n41000 61450\n65047 97540\n34226 51200\n64472 96679\n76064 100000\n91974 100000\n84494 100000\n93708 100000\n42051 63015\n97608 100000\n60163 90205\n80887 100000\n13134 19644\n11549 17255\n17809 26628\n85512 100000\n54148 81172\n33021 49393\n63758 95611\n23340 34937\n74909 100000\n99452 100000\n14946 22336\n42964 64384\n19025 28447\n54319 81421\n67948 100000\n57027 85476\n93854 100000\n4698 6981\n63489 95212\n18300 27355\n45628 68355\n87267 100000\n14448 21580\n59547 89260\n52693 78992\n72559 100000\n12058 18047\n30290 45305\n81675 100000\n43489 65178\n54710 82004\n8817 13144\n80206 100000\n16016 23947\n91260 100000\n20216 30206\n79396 100000\n20982 31373\n68393 100000\n67332 100000\n52254 78326\n81189 100000\n58500 87692\n68108 100000\n79195 100000\n59211 88750\n76235 100000\n56874 85253\n80304 100000\n53092 79596\n17348 25926\n41189 61738\n42918 64314\n9469 14122\n6613 9847\n81233 100000\n30353 45394\n36550 54732\n70824 100000\n35681 53399\n32339 48391\n2928 4372\n85154 100000\n22655 33906\n26360 39464\n24111 36082\n70526 100000\n62515 93761\n25394 38008\n29480 44075\n83434 100000\n11210 16732\n57544 86244\n18761 28050\n62025 93037\n28921 43237\n2692 4018\n47707 71498\n33217 49686\n35571 53236\n3082 4594\n36168 54155\n52894 79306\n91351 100000\n65223 97815\n67514 100000\n51002 76455\n46823 70171\n34348 51391\n84365 100000\n80071 100000\n97933 100000\n64502 96722\n41657 62421\n2005 3004\n77942 100000\n57045 85505\n80903 100000\n25551 38237\n38244 57274\n4157 6182\n41459 62132\n19973 29859\n68838 100000\n82260 100000\n8798 13114\n63779 95646\n73044 100000\n95198 100000\n21898 32767\n64479 96688\n27198 40700\n43656 65422\n78255 100000\n4729 7029\n77592 100000\n72834 100000\n95553 100000\n80867 100000\n34425 51514\n52732 79055\n82180 100000\n50924 76337\n17289 25832\n99342 100000\n28059 41962\n70722 100000\n76514 100000\n3173 4726\n18481 27624\n75580 100000\n31981 47860\n44542 66723\n73957 100000\n23743 35529\n35726 53466\n55159 82665\n47618 71371\n10089 15059\n21416 32028\n78532 100000\n79638 100000\n51375 77018\n13610 20348\n42538 63741\n61643 92457\n77605 100000\n86200 100000\n53985 80927\n145 212\n3054 4553\n90416 100000\n27905 41732\n46055 69003\n93846 100000\n51306 76910\n23709 35483\n76137 100000\n57699 86488\n1567 2339\n52837 79219\n46116 69092\n38837 58170\n50114 75124\n72331 100000\n31271 46785\n24460 36622\n6381 9511\n62345 93514\n18457 27589\n45127 67603\n7280 10854\n13391 20020\n5470 8152\n23297 34878\n37285 55841\n14443 21572\n32555 48695\n94864 100000\n5884 8765\n72 106\n86113 100000\n99986 100000\n36744 55030\n17114 25570\n63924 95870\n50692 75982\n30401 45467\n49160 73685\n62923 94370\n33251 49736\n36064 53989\n32720 48935\n15693 23458\n94713 100000\n47266 70843\n7069 10536\n11229 16764\n2441 3651\n97577 100000\n23936 35825\n94158 100000\n26645 39888\n11293 16859\n10816 16136\n6015 8963\n57805 86641\n1554 2318\n55528 83224\n48996 73430\n83799 100000\n37105 55569\n48968 73389\n47519 71223\n58760 88079\n85564 100000\n53125 79646\n71175 100000\n46834 70185\n56712 85004\n47036 70495\n80354 100000\n76537 100000\n73179 100000\n49096 73585\n342 504\n34063 50953\n89758 100000\n61880 92822\n6772 10081\n63597 95368\n95250 100000\n12135 18158\n88446 100000\n65604 98405\n2202 3295\n29717 44446\n8128 12094\n81576 100000\n73999 100000\n13999 20923\n20651 30885\n32150 48110\n92215 100000\n8410 12515\n27547 41205\n42420 63566\n40365 60471\n71645 100000\n56932 85337\n72430 100000\n76287 100000\n40774 61108\n40477 60636\n49266 73842\n14320 21394\n89397 100000\n17852 26698\n6211 9263\n60644 90946\n32657 48842\n6308 9406\n41250 61821\n52073 78053\n60690 91016\n56204 84237\n23210 34739\n68181 100000\n19439 29068\n39410 59045\n9896 14772\n71975 100000\n98422 100000\n23696 35468\n27684 41412\n72190 100000\n16091 24061\n52712 79021\n42077 63055\n51453 77127\n38232 57257\n61697 92547\n4588 6823\n17710 26475\n17214 25718\n4699 6983\n57352 85953\n51532 77245\n21366 31954\n38972 58366\n20415 30526\n80621 100000\n64082 96102\n58105 87095\n80336 100000\n30445 45534\n69991 100000\n76015 100000\n54345 81464\n83081 100000\n62841 94247\n97886 100000\n22936 34342\n48556 72770\n22672 33931\n46720 70012\n85561 100000\n61227 91819\n9070 13522\n35173 52620\n11631 17387\n68688 100000\n49261 73835\n82522 100000\n5333 7940\n15491 23151\n96409 100000\n85546 100000\n7730 11529\n64621 96902\n20760 31050\n59053 88515\n8191 12191\n47440 71104\n23430 35069\n33181 49634\n9348 13939\n60354 90502\n15242 22774\n18619 27827\n63181 94760\n29801 44574\n14840 22172\n14613 21830\n50966 76402\n47433 71093\n58679 87962\n47662 71432\n61112 91643\n58069 87041\n85989 100000\n87976 100000\n30050 44946\n29211 43671\n57436 86082\n89584 100000\n4515 6716\n58996 88432\n71759 100000\n31171 46627\n98016 100000\n30409 45480\n60658 90966\n4936 7342\n16811 25116\n3347 4974\n56385 84512\n56230 84278\n82120 100000\n50459 75635\n12111 18126\n84192 100000\n45712 68484\n33835 50611\n45433 68064\n18390 27491\n37845 56677\n45171 67668\n49515 74227\n61433 92144\n63200 94788\n65020 97500\n99985 100000\n5113 7613\n96467 100000\n3812 5663\n11900 17799\n82863 100000\n71788 100000\n65793 98684\n67125 100000\n50419 75580\n31293 46818\n82083 100000\n39145 58634\n19191 28694\n55816 83648\n33277 49774\n76577 100000\n94596 100000\n83635 100000\n13994 20916\n21365 31953\n53668 80455\n52508 78710\n64893 97312\n71152 100000\n69298 100000\n60621 90907\n59923 89835\n21212 31724\n49811 74671\n44515 66684\n59378 89001\n10204 15225\n60943 91394\n748 1118\n91327 100000\n24928 37310\n29156 43590\n95290 100000\n52090 78079\n27770 41533\n70841 100000\n94663 100000\n19437 29064\n96759 100000\n83028 100000\n42587 63809\n35773 53541\n63897 95827\n2035 3049\n43184 64701\n75624 100000\n17259 25787\n11606 17347\n59398 89031\n95048 100000\n93219 100000\n95389 100000\n71321 100000\n74402 100000\n52466 78649\n73178 100000\n61997 92994\n45520 68193\n51127 76640\n9484 14143\n45756 68551\n52664 78950\n4348 6466\n47760 71582\n48360 72478\n74975 100000\n79304 100000\n94555 100000\n19508 29174\n21926 32808\n38691 57952\n3375 5016\n47586 71324\n37758 56553\n91388 100000\n67663 100000\n28530 42662\n16030 23967\n92589 100000\n94524 100000\n22157 33156\n6570 9790\n81221 100000\n40458 60609\n55886 83756\n55448 83105\n19244 28780\n52449 78620\n16179 24186\n48580 72806\n33185 49640\n36487 54633\n37442 56080\n39288 58850\n20916 31275\n50384 75531\n42573 63790\n54284 81376\n86666 100000\n3201 4770\n51074 76561\n32354 48413\n12403 18549\n59801 89655\n72732 100000\n45446 68083\n43992 65925\n20804 31112\n20053 29973\n61215 91800\n58594 87830\n48873 73244\n27381 40967\n94633 100000\n6615 9851\n61036 91531\n1151 1720\n83414 100000\n69422 100000\n11922 17829\n20242 30247\n59826 89694\n23200 34725\n52230 78291\n42324 63417\n89250 100000\n69196 100000\n15830 23667\n43238 64785\n93892 100000\n68156 100000\n83462 100000\n79646 100000\n18520 27682\n20098 30039\n17051 25478\n38131 57109\n36283 54331\n35567 53232\n26057 38994\n57991 86920\n48190 72231\n56348 84453\n19234 28762\n8443 12567\n45340 67928\n93771 100000\n24157 36152\n19928 29796\n10995 16408\n36541 54718\n60516 90749\n20131 30086\n85089 100000\n22061 33006\n60887 91309\n67213 100000\n28286 42309\n33334 49858\n7806 11627\n76304 100000\n24769 37080\n74326 100000\n5223 7780\n78158 100000\n53329 79950\n6353 9472\n97391 100000\n95949 100000\n80891 100000\n78990 100000\n43299 64885\n13712 20494\n60960 91419\n62953 94413\n25792 38606\n96548 100000\n17279 25815\n27464 41086\n10680 15932\n83737 100000\n87028 100000\n30948 46310\n2994 4467\n51521 77228\n60394 90561\n29154 43588\n99764 100000\n3323 4943\n74253 100000\n50688 75977\n78993 100000\n30725 45965\n93499 100000\n32234 48236\n60487 90705\n74928 100000\n59736 89553\n5951 8866\n76129 100000\n95872 100000\n85220 100000\n71789 100000\n65213 97800\n60072 90069\n83180 100000\n49564 74303\n82192 100000\n57748 86559\n63566 95323\n65256 97867\n89828 100000\n27709 41446\n81514 100000\n78777 100000\n15619 23348\n10921 16295\n46268 69318\n40274 60332\n61639 92453\n92484 100000\n51856 77731\n13549 20259\n97342 100000\n77915 100000\n87473 100000\n12873 19250\n35700 53425\n18804 28112\n81585 100000\n65000 97471\n69098 100000\n60263 90362\n3909 5804\n78870 100000\n65753 98629\n98343 100000\n40821 61185\n46420 69559\n16512 24680\n19835 29663\n60420 90604\n10604 15825\n94878 100000\n45357 67952\n5136 7646\n58788 88125\n54824 82177\n47925 71835\n96836 100000\n90395 100000\n72953 100000\n87321 100000\n45359 67954\n67127 100000\n90072 100000\n82966 100000\n67126 100000\n70776 100000\n10503 15678\n16831 25145\n65230 97825\n20500 30650\n11807 17655\n63091 94627\n98910 100000\n98763 100000\n99314 100000\n18060 26998\n59787 89634\n66051 99072\n61404 92101\n50181 75222\n45903 68768\n98349 100000\n94159 100000\n95082 100000\n14684 21937\n3214 4789\n95061 100000\n73477 100000\n54289 81382\n41283 61867\n9239 13775\n2723 4062\n52588 78829\n5270 7848\n35921 53770\n75003 100000\n89117 100000\n53250 79834\n17048 25473\n74827 100000\n78822 100000\n50005 74968\n84042 100000\n2490 3727\n28587 42740\n3707 5512\n52771 79116\n29358 43894\n71799 100000\n93385 100000\n11743 17558\n10878 16233\n45456 68097\n77749 100000\n49010 73448\n93875 100000\n29638 44325\n1499 2237\n17638 26359\n68293 100000\n38218 57236\n30963 46330\n10644 15877\n28546 42683\n10424 15568\n45368 67969\n87128 100000\n27407 41008\n60065 90058\n83060 100000\n5429 8091\n67425 100000\n19364 28960\n30491 45603\n86338 100000\n34340 51378\n15507 23174\n37479 56139\n73812 100000\n38767 58068\n23849 35693\n92892 100000\n75156 100000\n20456 30585\n35543 53199\n59563 89285\n86577 100000\n66713 100000\n57178 85692\n82429 100000\n64219 96299\n53007 79483\n3541 5263\n33687 50391\n54542 81762\n33347 49878\n89510 100000\n73013 100000\n84404 100000\n85738 100000\n52239 78305\n18564 27750\n91577 100000\n79830 100000\n39113 58582\n72624 100000\n89365 100000\n88338 100000\n72810 100000\n47342 70959\n53154 79686\n56844 85205\n4139 6153\n91787 100000\n22181 33188\n20257 30268\n14361 21451\n70682 100000\n80452 100000\n50830 76194\n95036 100000\n79718 100000\n71641 100000\n66958 100000\n6378 9507\n42762 64071\n28843 43124\n57959 86877\n10555 15753\n58354 87469\n46976 70406\n9209 13728\n72663 100000\n30875 46202\n47423 71077\n9426 14060\n21638 32368\n79285 100000\n2981 4446\n58057 87026\n1876 2808\n69808 100000\n43043 64506\n12178 18220\n1398 2090\n14734 22013\n66796 100000\n30659 45862\n4956 7373\n5243 7810\n44724 66991\n26303 39376\n1762 2630\n79599 100000\n16909 25263\n40622 60868\n77209 100000\n17295 25840\n12142 18168\n37591 56306\n19129 28604\n19664 29405\n7925 11804\n57812 86651\n23498 35174\n74172 100000\n43249 64803\n20945 31320\n8910 13287\n48326 72427\n57105 85591\n58918 88311\n77015 100000\n21932 32816\n93739 100000\n18349 27433\n96503 100000\n98331 100000\n97202 100000\n87646 100000\n53791 80642\n20444 30567\n23236 34781\n79063 100000\n15303 22862\n62838 94242\n15542 23232\n66089 99133\n26941 40318\n4607 6847\n24393 36517\n32662 48849\n63007 94496\n56127 84119\n60970 91434\n62278 93414\n91218 100000\n76229 100000\n88871 100000\n73535 100000\n60813 91199\n63168 94743\n40080 60039\n7407 11050\n44773 67062\n70837 100000\n63907 95846\n52977 79437\n6522 9720\n46412 69544\n3736 5558\n13852 20704\n92492 100000\n90520 100000\n22318 33400\n23602 35326\n65151 97706\n97901 100000\n74521 100000\n39503 59185\n91108 100000\n48706 72987\n57332 85922\n11002 16418\n81432 100000\n56364 84480\n47806 71654\n69040 100000\n66422 99632\n72599 100000\n44692 66948\n37734 56518\n51266 76852\n41753 62564\n80970 100000\n82433 100000\n97570 100000\n84658 100000\n79973 100000\n30679 45893\n13992 20913\n70465 100000\n74652 100000\n22502 33679\n24023 35953\n64843 97238\n87704 100000\n53774 80615\n13244 19802\n31223 46705\n99279 100000\n31632 47328\n52505 78705\n75055 100000\n32756 48991\n99267 100000\n11450 17098\n83611 100000\n31466 47085\n14369 21464\n97529 100000\n11124 16597\n69352 100000\n32658 48844\n86831 100000\n72122 100000\n6143 9162\n88226 100000\n9739 14533\n9478 14135\n64907 97333\n1359 2032\n53648 80426\n96368 100000\n16807 25110\n21091 31540\n88380 100000\n32514 48641\n79239 100000\n23351 34954\n71689 100000\n28941 43266\n51202 76756\n43914 65818\n18851 28186\n6490 9672\n54826 82180\n31082 46499\n14245 21282\n89735 100000\n894 1337\n19390 28999\n38746 58040\n30009 44887\n95548 100000\n24632 36879\n24710 36991\n41126 61641\n63394 95071\n46929 70329\n75865 100000\n90547 100000\n81176 100000\n67462 100000\n53695 80496\n96536 100000\n82142 100000\n1422 2130\n18797 28100\n33327 49846\n3673 5460\n3295 4905\n36762 55057\n13558 20274\n20097 30037\n74414 100000\n42540 63744\n93769 100000\n3149 4690\n53579 80319\n26491 39655\n62942 94398\n62730 94080\n3051 4548\n18461 27594\n67659 100000\n29062 43455\n43576 65308\n17510 26169\n18706 27969\n47309 70910\n87551 100000\n3442 5112\n13996 20920\n19622 29348\n2496 3738\n42454 63620\n39281 58840\n12377 18510\n76627 100000\n27085 40530\n24653 36909\n7391 11023\n1715 2560\n39396 59022\n35212 52683\n87822 100000\n3162 4711\n75082 100000\n25385 37994\n86691 100000\n35134 52565\n53849 80727\n99105 100000\n55818 83650\n54751 82067\n68701 100000\n35162 52605\n32186 48164\n72633 100000\n40539 60739\n88777 100000\n26983 40384\n16204 24226\n37698 56464\n16976 25367\n96466 100000\n35627 53320\n39603 59332\n47886 71776\n90605 100000\n49853 74736\n58631 87885\n89217 100000\n44898 67248\n12456 18624\n50047 75030\n26072 39019\n71072 100000\n64648 96942\n44604 66814\n15417 23034\n6638 9884\n9588 14306\n61116 91649\n2676 4000\n69492 100000\n28597 42755\n40058 60007\n82348 100000\n2921 4360\n79849 100000\n87311 100000\n1244 1861\n70969 100000\n74598 100000\n60029 89999\n20633 30855\n34377 51441\n40475 60633\n23172 34682\n39106 58571\n29059 43450\n47504 71199\n55825 83663\n26411 39539\n89658 100000\n44978 67373\n19644 29377\n64461 96666\n15096 22553\n34473 51581\n88696 100000\n76971 100000\n79041 100000\n10789 16097\n90062 100000\n68211 100000\n45178 67678\n40496 60666\n96470 100000\n74278 100000\n5592 8326\n65060 97558\n43368 64988\n84041 100000\n8219 12234\n25160 37656\n12419 18573\n77371 100000\n34314 51341\n22510 33690\n59219 88761\n86744 100000\n83918 100000\n89846 100000\n8260 12292\n16067 24023\n20709 30972\n561 841\n13293 19873\n24169 36171\n39475 59144\n64425 96612\n41249 61820\n34195 51151\n87292 100000\n30424 45505\n64326 96460\n31889 47717\n457 681\n8380 12476\n67999 100000\n90687 100000\n75944 100000\n67249 100000\n7177 10705\n44784 67078\n51180 76723\n51740 77562\n49332 73945\n32433 48525\n9797 14618\n83106 100000\n66505 99753\n73946 100000\n8073 12011\n25983 38891\n67532 100000\n16450 24585\n22509 33688\n98243 100000\n83244 100000\n46456 69615\n13690 20461\n14438 21565\n17124 25584\n44449 66589\n95660 100000\n76933 100000\n32492 48611\n29973 44835\n31625 47320\n81670 100000\n20173 30146\n13665 20423\n10372 15481\n66020 99026\n19907 29761\n64694 97012\n71448 100000\n71403 100000\n86925 100000\n71347 100000\n12950 19363\n49974 74921\n59317 88910\n78647 100000\n91281 100000\n22256 33303\n89466 100000\n70512 100000\n92355 100000\n35924 53776\n90143 100000\n70985 100000\n62052 93082\n39790 59605\n97997 100000\n43975 65902\n42830 64172\n75788 100000\n68545 100000\n96373 100000\n60132 90161\n90867 100000\n77786 100000\n41942 62850\n43153 64660\n21465 32105\n10226 15259\n42609 63840\n3897 5790\n42472 63643\n90902 100000\n53076 79575\n1089 1630\n51582 77322\n27006 40412\n6950 10361\n14615 21832\n21496 32150\n99684 100000\n21601 32309\n38271 57318\n93849 100000\n34582 51740\n3921 5821\n64335 96471\n68354 100000\n12660 18931\n84690 100000\n79600 100000\n50715 76020\n90509 100000\n55767 83570\n22335 33428\n95478 100000\n55401 83031\n29094 43497\n84797 100000\n60742 91094\n59943 89865\n65312 97961\n58810 88161\n12209 18263\n11396 17010\n8321 12388\n52544 78760\n79415 100000\n79197 100000\n69596 100000\n42078 63057\n88684 100000\n81721 100000\n21120 31582\n65208 97794\n65516 98272\n52051 78020\n56024 83963\n29628 44309\n13793 20620\n89151 100000\n70131 100000\n49762 74596\n5134 7643\n74771 100000\n73138 100000\n3804 5652\n21506 32166\n24371 36486\n37025 55447\n50197 75243\n70873 100000\n69277 100000\n29778 44539\n95072 100000\n83508 100000\n77201 100000\n51156 76685\n59187 88714\n76205 100000\n32778 49023\n11299 16867\n52406 78553\n34526 51658\n78541 100000\n64248 96340\n8471 12615\n2755 4107\n3146 4685\n47010 70456\n76175 100000\n43275 64846\n92613 100000\n75701 100000\n32846 49128\n3982 5913\n43284 64860\n89099 100000\n76333 100000\n30943 46302\n84932 100000\n37648 56392\n45987 68897\n81071 100000\n50799 76150\n90438 100000\n73167 100000\n73320 100000\n52597 78839\n55373 82992\n43190 64709\n4679 6957\n89527 100000\n56991 85420\n72263 100000\n29264 43750\n26354 39455\n98449 100000\n83855 100000\n22229 33262\n12373 18503\n71444 100000\n64059 96067\n22291 33358\n40033 59973\n67964 100000\n10987 16394\n77531 100000\n63006 94494\n67501 100000\n13364 19981\n14018 20951\n82920 100000\n34676 51875\n15219 22738\n84853 100000\n74766 100000\n56149 84156\n44593 66799\n9803 14629\n68752 100000\n15196 22701\n75931 100000\n23245 34794\n25754 38543\n67815 100000\n31148 46592\n1995 2991\n79405 100000\n96481 100000\n98558 100000\n65258 97870\n92857 100000\n42398 63533\n64390 96558\n28727 42956\n96941 100000\n93326 100000\n43454 65127\n53710 80520\n51631 77392\n80889 100000\n52436 78602\n48597 72829\n18506 27662\n73945 100000\n99085 100000\n72177 100000\n88369 100000\n12904 19298\n83076 100000\n67876 100000\n69927 100000\n66793 100000\n11569 17286\n50509 75709\n22083 33040\n55771 83577\n23027 34476\n93229 100000\n93767 100000\n39319 58898\n35413 52984\n66389 99582\n77410 100000\n70971 100000\n24796 37124\n37294 55854\n68064 100000\n96911 100000\n73695 100000\n64964 97416\n84753 100000\n74427 100000\n90976 100000\n55550 83254\n71797 100000\n24002 35923\n14636 21867\n17843 26683\n20366 30449\n51549 77275\n33792 50548\n63500 95227\n54495 81686\n74709 100000\n88801 100000\n60925 91364\n58785 88119\n53284 79880\n69827 100000\n78379 100000\n84911 100000\n38366 57468\n34138 51071\n93470 100000\n55655 83405\n64706 97028\n17784 26583\n40653 60917\n7321 10920\n93193 100000\n93821 100000\n53734 80556\n95168 100000\n39810 59636\n37576 56282\n37640 56380\n7435 11088\n80057 100000\n87389 100000\n58879 88258\n46512 69696\n12670 18948\n54200 81251\n33355 49891\n30677 45890\n44465 66609\n32204 48192\n67302 100000\n13559 20275\n71619 100000\n18450 27580\n21754 32538\n91582 100000\n95283 100000\n46390 69509\n70306 100000\n81295 100000\n17541 26217\n92451 100000\n30819 46111\n71023 100000\n15099 22557\n92784 100000\n79149 100000\n38055 56996\n72162 100000\n92771 100000\n7336 10939\n91113 100000\n85746 100000\n47520 71225\n57550 86252\n58448 87613\n9985 14904\n69294 100000\n82677 100000\n81195 100000\n21460 32099\n92359 100000\n30444 45533\n49545 74272\n39171 58672\n5781 8607\n15699 23467\n81717 100000\n93091 100000\n93497 100000\n8794 13107\n74252 100000\n41580 62307\n2257 3376\n60709 91045\n58932 88333\n86986 100000\n58133 87138\n94504 100000\n89180 100000\n40323 60409\n72733 100000\n95842 100000\n40097 60064\n98589 100000\n71317 100000\n95582 100000\n66826 100000\n17607 26313\n76572 100000\n2978 4442\n25765 38563\n75270 100000\n84133 100000\n14965 22365\n16944 25319\n73701 100000\n54866 82241\n49578 74324\n30169 45124\n5297 7888\n60770 91136\n29400 43956\n54091 81086\n24248 36296\n46388 69505\n29582 44234\n29345 43873\n6905 10296\n91455 100000\n27463 41085\n47543 71261\n60270 90372\n12905 19299\n9264 13810\n40461 60614\n40514 60699\n72562 100000\n80849 100000\n48389 72520\n56960 85374\n5044 7513\n99636 100000\n7865 11718\n33249 49734\n31948 47809\n55281 82854\n18246 27274\n60121 90145\n64041 96040\n588 880\n79241 100000\n85998 100000\n40489 60656\n38371 57475\n33686 50390\n81323 100000\n58061 87031\n92348 100000\n25548 38234\n11385 16994\n29170 43609\n97957 100000\n28578 42727\n63973 95942\n32787 49036\n89794 100000\n13197 19739\n73508 100000\n47747 71562\n22293 33362\n26722 40002\n99811 100000\n59113 88604\n38110 57078\n34460 51562\n89511 100000\n53034 79522\n15383 22982\n82306 100000\n47722 71519\n86384 100000\n5656 8418\n62059 93092\n19914 29773\n95350 100000\n14855 22197\n86491 100000\n87274 100000\n2387 3574\n51626 77385\n38951 58334\n54358 81484\n73101 100000\n47991 71933\n57831 86680\n16076 24038\n4060 6029\n18517 27679\n94256 100000\n95853 100000\n72533 100000\n36877 55232\n47863 71741\n90718 100000\n5504 8201\n69046 100000\n28114 42050\n28379 42447\n47312 70915\n10904 16269\n45551 68239\n15852 23699\n80912 100000\n81157 100000\n85946 100000\n16938 25311\n70804 100000\n11412 17032\n98189 100000\n35923 53774\n11166 16663\n85091 100000\n14466 21607\n69750 100000\n99218 100000\n62499 93736\n11220 16747\n97419 100000\n30618 45802\n60113 90130\n83225 100000\n15313 22878\n51004 76459\n87876 100000\n10100 15077\n16718 24980\n54330 81439\n48950 73364\n50684 75970\n96983 100000\n35688 53409\n29221 43689\n4048 6013\n71102 100000\n28149 42103\n78863 100000\n12899 19290\n66645 99965\n14490 21646\n97357 100000\n70615 100000\n19001 28409\n22269 33323\n73263 100000\n29471 44061\n20828 31146\n79242 100000\n21523 32192\n70976 100000\n30984 46359\n38437 57578\n49271 73850\n88838 100000\n28415 42501\n79746 100000\n32889 49194\n68106 100000\n15550 23245\n76699 100000\n7613 11352\n19828 29654\n71660 100000\n66252 99373\n89505 100000\n37321 55900\n25085 37552\n41057 61540\n50271 75357\n68309 100000\n76506 100000\n52663 78948\n9082 13542\n18726 27999\n78414 100000\n93267 100000\n37481 56143\n22903 34291\n30947 46309\n52890 79299\n4180 6218\n4430 6589\n81510 100000\n65268 97885\n15965 23876\n16092 24062\n22334 33426\n5987 8917\n45730 68510\n89870 100000\n91931 100000\n46847 70207\n33389 49943\n11211 16733\n97436 100000\n80292 100000\n1281 1920\n7359 10975\n48174 72208\n4917 7314\n52159 78181\n679 1018\n6404 9546\n83852 100000\n19345 28931\n62138 93207\n66514 99765\n97910 100000\n72934 100000\n40420 60553\n87121 100000\n55610 83339\n89372 100000\n22030 32961\n48818 73160\n28851 43136\n4444 6611\n79935 100000\n47729 71531\n50079 75076\n23953 35847\n4010 5957\n84838 100000\n31680 47401\n40053 60001\n28444 42544\n28662 42854\n62141 93211\n48361 72480\n15913 23794\n46572 69783\n72871 100000\n89873 100000\n35400 52963\n32639 48816\n18558 27742\n3494 5192\n69208 100000\n86346 100000\n89535 100000\n40675 60952\n743 1110\n51812 77667\n21324 31893\n53506 80208\n99069 100000\n99780 100000\n22148 33142\n63650 95443\n71948 100000\n12244 18320\n79328 100000\n48463 72632\n42254 63319\n27542 41197\n82962 100000\n20259 30271\n48964 73382\n7428 11079\n98626 100000\n26266 39319\n17478 26124\n99062 100000\n44936 67306\n54321 81425\n18180 27175\n97658 100000\n35913 53760\n87495 100000\n40724 61031\n42737 64037\n39275 58830\n74595 100000\n8105 12063\n98424 100000\n84691 100000\n35904 53745\n32297 48332\n55414 83053\n64722 97054\n39454 59112\n25872 38724\n65663 98488\n18167 27156\n82111 100000\n43345 64953\n14545 21727\n75735 100000\n60017 89979\n97293 100000\n80180 100000\n34232 51211\n92685 100000\n64130 96168\n16644 24871\n1525 2274\n18370 27462\n23234 34778\n48059 72035\n39931 59814\n93077 100000\n19075 28521\n43921 65826\n31297 46824\n67352 100000\n52611 78864\n54656 81918\n12917 19317\n68655 100000\n61161 91719\n47961 71891\n40976 61415\n24012 35934\n4428 6585\n13219 19768\n58266 87337\n45747 68537\n42121 63120\n17397 26003\n38352 57445\n91533 100000\n36839 55178\n9901 14779\n21062 31493\n42691 63963\n66121 99179\n33637 50313\n74779 100000\n41335 61939\n73615 100000\n64108 96137\n7667 11432\n87298 100000\n20765 31058\n48402 72543\n70253 100000\n97654 100000\n42024 62977\n64359 96510\n16655 24887\n59958 89890\n72338 100000\n77003 100000\n41767 62584\n98286 100000\n49694 74495\n96931 100000\n20558 30736\n77565 100000\n96858 100000\n71021 100000\n6847 10202\n89178 100000\n54459 81634\n81079 100000\n41050 61531\n98112 100000\n59474 89149\n70462 100000\n94956 100000\n89612 100000\n60760 91122\n49225 73784\n39460 59121\n91977 100000\n71173 100000\n60679 90999\n81234 100000\n78161 100000\n5421 8076\n16805 25108\n56685 84963\n81332 100000\n90322 100000\n34407 51488\n80073 100000\n1260 1884\n76799 100000\n51255 76835\n25878 38732\n94884 100000\n95298 100000\n48337 72442\n77436 100000\n16643 24869\n29038 43415\n69316 100000\n37972 56866\n83637 100000\n34319 51347\n78400 100000\n30071 44977\n40355 60457\n18172 27164\n16525 24700\n49841 74719\n79490 100000\n506 756\n67311 100000\n39950 59843\n48103 72102\n35541 53196\n65504 98257\n70472 100000\n14667 21912\n72867 100000\n72259 100000\n28580 42730\n90760 100000\n66701 100000\n97349 100000\n98514 100000\n93192 100000\n66968 100000\n24536 36740\n99453 100000\n47996 71940\n81097 100000\n51866 77744\n25931 38811\n68058 100000\n3083 4596\n22688 33956\n52306 78403\n52826 79203\n20911 31270\n51132 76647\n20523 30686\n11076 16527\n90796 100000\n3877 5759\n54085 81075\n29868 44672\n44067 66038\n79680 100000\n71733 100000\n10121 15106\n74793 100000\n46953 70370\n99014 100000\n88019 100000\n92248 100000\n92189 100000\n37185 55688\n20751 31034\n27779 41547\n63950 95909\n12730 19038\n65659 98483\n6903 10293\n4656 6924\n1865 2789\n836 1253\n99823 100000\n20681 30927\n86653 100000\n23378 34991\n68031 100000\n48839 73192\n28158 42117\n46671 69936\n84571 100000\n57304 85876\n39908 59780\n28806 43075\n68297 100000\n68174 100000\n7247 10805\n44430 66560\n68943 100000\n54417 81568\n4422 6578\n26466 39622\n65040 97532\n3342 4967\n92787 100000\n55209 82743\n62668 93987\n79813 100000\n52299 78392\n22724 34010\n98044 100000\n48178 72216\n41569 62292\n32422 48508\n87518 100000\n70148 100000\n54912 82305\n31801 47587\n75225 100000\n24810 37143\n92481 100000\n41613 62356\n53387 80032\n35701 53426\n36479 54621\n77897 100000\n36046 53958\n84535 100000\n63372 95041\n221 331\n33963 50807\n65152 97708\n73399 100000\n72652 100000\n96552 100000\n26532 39714\n40299 60370\n9854 14710\n9894 14769\n13288 19867\n45186 67691\n21057 31486\n76665 100000\n61444 92159\n49074 73554\n3384 5032\n33895 50702\n76080 100000\n37090 55549\n44040 65996\n50007 74971\n74488 100000\n19167 28660\n43466 65146\n58170 87194\n54560 81786\n5905 8798\n32588 48742\n53302 79909\n88816 100000\n80924 100000\n55792 83610\n60416 90597\n11338 16926\n79502 100000\n22687 33954\n77387 100000\n92598 100000\n63859 95770\n78149 100000\n5689 8464\n60258 90354\n90417 100000\n53189 79738\n47486 71172\n74006 100000\n80691 100000\n54819 82169\n83026 100000\n29024 43395\n68145 100000\n13330 19934\n44399 66514\n58023 86970\n26900 40259\n49293 73883\n60239 90325\n98215 100000\n31091 46511\n47534 71247\n3327 4947\n99600 100000\n41071 61560\n57401 86027\n73349 100000\n62053 93083\n83211 100000\n26053 38988\n18732 28009\n4020 5970\n23654 35404\n92827 100000\n65711 98560\n95936 100000\n32885 49188\n27118 40586\n40275 60334\n96381 100000\n52685 78981\n43815 65661\n59784 89630\n53142 79669\n31984 47864\n22173 33178\n99010 100000\n25420 38049\n79177 100000\n79890 100000\n18865 28209\n25813 38638\n46838 70192\n21485 32136\n37040 55472\n19330 28907\n5424 8082\n87530 100000\n56942 85350\n66679 100000\n13887 20757\n55700 83468\n33672 50368\n33587 50239\n92951 100000\n6273 9356\n24074 36028\n17950 26833\n88692 100000\n79128 100000\n55830 83670\n55018 82463\n61952 92928\n83237 100000\n3716 5527\n20014 29914\n20274 30299\n24620 36862\n92084 100000\n81955 100000\n55963 83876\n16823 25134\n74862 100000\n36470 54609\n1486 2218\n39482 59153\n48523 72720\n27536 41190\n13730 20520\n23744 35531\n72412 100000\n39233 58768\n54806 82150\n45355 67949\n50615 75860\n11548 17254\n11762 17587\n32185 48163\n98163 100000\n77809 100000\n12718 19018\n93885 100000\n62192 93286\n75501 100000\n90570 100000\n24383 36502\n92533 100000\n94187 100000\n69925 100000\n20352 30426\n54788 82122\n30879 46208\n6474 9649\n26385 39502\n93338 100000\n38176 57173\n64724 97057\n56925 85327\n56375 84495\n22109 33081\n33423 49994\n2345 3512\n86629 100000\n13048 19513\n78783 100000\n91358 100000\n80320 100000\n2416 3619\n36759 55053\n50117 75127\n8856 13203\n77567 100000\n11149 16633\n21750 32532\n50774 76111\n44657 66890\n54344 81462\n50804 76157\n98989 100000\n10701 15961\n72560 100000\n65873 98799\n13721 20506\n98922 100000\n75598 100000\n6307 9405\n52954 79400\n33316 49830\n93580 100000\n91023 100000\n71669 100000\n27487 41120\n53793 80646\n17818 26642\n24553 36762\n75561 100000\n21524 32194\n46094 69056\n24607 36843\n85323 100000\n74159 100000\n97392 100000\n18860 28200\n9002 13425\n69235 100000\n80852 100000\n50 74\n75930 100000\n37060 55498\n77698 100000\n31986 47867\n88289 100000\n98004 100000\n38940 58316\n38320 57392\n68510 100000\n19018 28437\n48881 73256\n13532 20232\n92500 100000\n53736 80559\n77632 100000\n92816 100000\n36171 54161\n82549 100000\n3110 4634\n89784 100000\n64628 96912\n89419 100000\n79323 100000\n2842 4239\n26131 39115\n15732 23516\n71104 100000\n86656 100000\n59952 89880\n75471 100000\n78738 100000\n11496 17173\n46714 70004\n41174 61716\n92258 100000\n73300 100000\n56431 84579\n7285 10862\n86615 100000\n31544 47200\n53400 80050\n72286 100000\n83983 100000\n6248 9318\n84446 100000\n34294 51311\n87548 100000\n40577 60803\n30953 46318\n57936 86844\n52884 79289\n61820 92726\n49445 74121\n58260 87329\n17796 26604\n6675 9939\n27202 40707\n73205 100000\n50473 75656\n61400 92095\n60635 90931\n51337 76958\n2372 3551\n81148 100000\n73127 100000\n14869 22221\n92592 100000\n53124 79644\n43487 65176\n62535 93788\n62404 93593\n66316 99472\n43155 64663\n30728 45971\n35474 53086\n65345 98012\n39582 59298\n42432 63585\n70505 100000\n83709 100000\n18416 27526\n84085 100000\n93919 100000\n89044 100000\n42020 62970\n85674 100000\n32525 48657\n4408 6555\n37744 56531\n4852 7214\n60717 91057\n88803 100000\n48524 72722\n49154 73676\n69477 100000\n5609 8351\n1907 2856\n29007 43368\n46767 70082\n3674 5461\n79157 100000\n45495 68155\n30883 46213\n65868 98791\n26643 39885\n120 176\n50717 76023\n9733 14523\n17996 26902\n47246 70814\n8125 12090\n66767 100000\n3788 5630\n15814 23642\n93012 100000\n52053 78024\n15872 23731\n78589 100000\n27237 40758\n99734 100000\n84162 100000\n6011 8956\n96408 100000\n19514 29183\n92783 100000\n87333 100000\n66598 99894\n50110 75119\n66670 100000\n89424 100000\n42644 63896\n93667 100000\n11976 17914\n23606 35333\n27962 41819\n16 24\n38275 57323\n91712 100000\n97912 100000\n59634 89400\n73351 100000\n13032 19487\n68508 100000\n75079 100000\n9297 13861\n5104 7601\n645 968\n48623 72870\n39209 58733\n33668 50362\n42541 63745\n11286 16849\n71811 100000\n96033 100000\n39905 59775\n1308 1958\n57420 86056\n241 357\n55297 82877\n45910 68777\n19537 29218\n57783 86608\n95507 100000\n62184 93275\n92280 100000\n44711 66972\n84349 100000\n10462 15622\n20570 30757\n78723 100000\n53443 80113\n77298 100000\n34997 52360\n98055 100000\n80679 100000\n8069 12006\n69427 100000\n51977 77915\n30100 45020\n60560 90816\n37574 56279\n69860 100000\n48090 72083\n44018 65964\n34422 51510\n3172 4724\n56604 84843\n70983 100000\n79275 100000\n50680 75962\n6094 9081\n50876 76262\n86995 100000\n74800 100000\n69405 100000\n11749 17569\n95360 100000\n58386 87520\n48403 72544\n68150 100000\n9421 14051\n92298 100000\n84299 100000\n99458 100000\n39573 59287\n90248 100000\n78834 100000\n85459 100000\n91057 100000\n81658 100000\n18942 28318\n16479 24630\n87737 100000\n20663 30902\n48954 73369\n77464 100000\n43212 64743\n77914 100000\n85031 100000\n26946 40327\n54076 81061\n95559 100000\n12343 18461\n89806 100000\n92296 100000\n69760 100000\n13476 20151\n91640 100000\n58098 87084\n1936 2895\n22717 34001\n75062 100000\n36235 54258\n83058 100000\n4563 6781\n71698 100000\n49966 74908\n51787 77626\n25734 38515\n49702 74507\n15187 22688\n50020 74990\n49621 74388\n83340 100000\n34865 52154\n81509 100000\n83717 100000\n45090 67542\n4938 7344\n36802 55117\n33061 49457\n87523 100000\n87435 100000\n56775 85100\n24294 36361\n27964 41822\n61503 92245\n90298 100000\n97279 100000\n43775 65602\n98356 100000\n1804 2697\n22722 34008\n49623 74390\n60568 90830\n37143 55626\n22907 34297\n47907 71807\n738 1102\n41366 61989\n31076 46491\n2256 3375\n15051 22487\n26818 40142\n34122 51045\n96773 100000\n52305 78401\n11328 16910\n36969 55364\n89755 100000\n60015 89976\n54548 81772\n68472 100000\n37053 55488\n46807 70145\n95295 100000\n30417 45494\n61452 92172\n83531 100000\n95286 100000\n69044 100000\n19451 29086\n1452 2174\n23848 35691\n16120 24100\n56135 84131\n54423 81578\n83359 100000\n31462 47078\n30639 45835\n16431 24555\n53335 79956\n81386 100000\n29398 43952\n3575 5314\n16894 25242\n61458 92180\n33248 49732\n45909 68776\n83079 100000\n96335 100000\n24930 37312\n76706 100000\n28628 42804\n63691 95505\n78411 100000\n74366 100000\n78886 100000\n12965 19388\n8230 12251\n30021 44905\n65342 98008\n36334 54406\n36600 54811\n8654 12895\n17059 25487\n49047 73510\n99994 100000\n86089 100000\n89725 100000\n82563 100000\n24594 36821\n47536 71251\n92091 100000\n78728 100000\n63485 95207\n86168 100000\n58002 86940\n29646 44335\n45929 68805\n62514 93760\n28976 43316\n79526 100000\n64078 96096\n23705 35478\n60874 91288\n82993 100000\n68832 100000\n93427 100000\n31236 46729\n57013 85452\n20392 30489\n73974 100000\n83493 100000\n14547 21729\n23222 34759\n2898 4327\n75975 100000\n40850 61228\n88275 100000\n94756 100000\n72907 100000\n87262 100000\n83697 100000\n37855 56692\n21164 31650\n42242 63300\n70439 100000\n91185 100000\n46285 69346\n19782 29583\n60594 90865\n21451 32084\n80006 100000\n80499 100000\n7909 11779\n15682 23443\n82388 100000\n49431 74101\n46328 69411\n1194 1784\n81970 100000\n80269 100000\n12565 18784\n35192 52652\n72368 100000\n89796 100000\n48452 72615\n40326 60414\n14350 21437\n4388 6527\n22252 33297\n84183 100000\n34965 52311\n5897 8786\n2592 3880\n37769 56571\n52933 79367\n29960 44812\n40910 61315\n61134 91677\n33078 49482\n4098 6084\n81463 100000\n37364 55962\n82434 100000\n50716 76022\n14682 21934\n15916 23799\n11222 16751\n27077 40518\n93848 100000\n59412 89054\n6823 10166\n5952 8867\n30261 45262\n73988 100000\n23063 34525\n29090 43493\n18211 27219\n86046 100000\n26915 40281\n67296 100000\n15620 23349\n67641 100000\n37710 56484\n49715 74525\n37913 56783\n64421 96606\n91324 100000\n99589 100000\n88734 100000\n16225 24256\n50011 74978\n59101 88585\n76373 100000\n78169 100000\n30770 46034\n3446 5118\n16992 25392\n94099 100000\n71576 100000\n86979 100000\n16968 25356\n70138 100000\n97574 100000\n76426 100000\n59644 89413\n18608 27812\n99593 100000\n29703 44428\n48387 72517\n31654 47363\n36194 54196\n20640 30866\n96448 100000\n27739 41492\n26685 39948\n19102 28564\n10762 16053\n79104 100000\n82153 100000\n99041 100000\n62641 93947\n82239 100000\n9661 14410\n9408 14031\n82285 100000\n7777 11589\n46876 70251\n28502 42620\n39325 58909\n73454 100000\n27741 41495\n59346 88955\n71760 100000\n58545 87756\n9093 13558\n81770 100000\n62607 93896\n24740 37037\n69769 100000\n67280 100000\n86285 100000\n51698 77498\n79141 100000\n8830 13165\n66183 99274\n67767 100000\n60110 90125\n61964 92948\n28483 42594\n82230 100000\n3896 5788\n9867 14726\n22589 33809\n18847 28179\n55957 83868\n79966 100000\n65804 98700\n70798 100000\n18449 27578\n33032 49410\n96001 100000\n33776 50522\n78382 100000\n90757 100000\n36554 54738\n9340 13926\n86762 100000\n23215 34747\n93650 100000\n84407 100000\n18802 28109\n73099 100000\n35679 53396\n36024 53925\n39274 58828\n84579 100000\n21178 31670\n11736 17547\n55958 83870\n82991 100000\n68451 100000\n16531 24710\n71796 100000\n39152 58644\n8310 12369\n33614 50279\n34868 52159\n68939 100000\n94048 100000\n29864 44666\n99905 100000\n32258 48273\n62150 93226\n26036 38966\n76398 100000\n4467 6643\n10945 16332\n13122 19623\n27600 41286\n22089 33049\n21122 31586\n88703 100000\n62970 94439\n79727 100000\n96495 100000\n59408 89047\n98051 100000\n64924 97360\n23886 35750\n98271 100000\n72387 100000\n45896 68758\n57759 86572\n78630 100000\n5284 7868\n66677 100000\n94548 100000\n33577 50224\n56856 85224\n78583 100000\n99101 100000\n32769 49009\n54745 82058\n79176 100000\n52999 79471\n51205 76761\n16506 24671\n14381 21481\n26638 39879\n64990 97456\n9098 13566\n94273 100000\n22006 32926\n97849 100000\n49347 73969\n56044 83992\n43973 65899\n21599 32306\n84746 100000\n6266 9346\n29136 43559\n10351 15448\n10026 14969\n21129 31597\n25472 38128\n55340 82939\n93019 100000\n67685 100000\n94233 100000\n49654 74434\n64693 97010\n68247 100000\n77833 100000\n71460 100000\n47858 71733\n56171 84188\n6327 9435\n23492 35165\n4302 6399\n34060 50947\n33028 49404\n68154 100000\n23207 34736\n24627 36873\n65926 98878\n57423 86062\n24533 36736\n23623 35356\n17545 26224\n13608 20345\n13146 19662\n43203 64728\n63337 94994\n44691 66947\n46503 69685\n43738 65548\n72723 100000\n43396 65034\n90730 100000\n26610 39837\n64937 97377\n27592 41274\n16624 24841\n18402 27508\n49307 73903\n18791 28090\n6525 9726\n2520 3774\n31371 46938\n8759 13050\n99163 100000\n55314 82902\n24674 36939\n54338 81452\n28964 43300\n56064 84019\n16418 24535\n53449 80124\n1024 1532\n10669 15915\n95927 100000\n13216 19764\n48444 72602\n13967 20874\n58664 87939\n87055 100000\n85540 100000\n70457 100000\n91607 100000\n20126 30080\n16388 24494\n7750 11553\n92060 100000\n37665 56418\n53492 80187\n37546 56239\n42391 63522\n38960 58347\n73388 100000\n28021 41906\n25827 38657\n55617 83348\n84056 100000\n43569 65299\n17684 26435\n70901 100000\n57060 85527\n45810 68632\n49021 73467\n77164 100000\n46422 69563\n27669 41387\n76662 100000\n52297 78389\n56410 84549\n44894 67242\n63345 95005\n75871 100000\n94908 100000\n64908 97335\n2266 3388\n38411 57537\n52037 77998\n90797 100000\n24110 36080\n38983 58384\n13093 19581\n22365 33475\n71161 100000\n64220 96301\n75700 100000\n59177 88698\n74649 100000\n61809 92712\n7302 10891\n9917 14803\n53273 79864\n26792 40103\n69391 100000\n28878 43180\n86598 100000\n62416 93614\n3074 4582\n50487 75677\n31883 47710\n25456 38103\n37638 56377\n94543 100000\n69321 100000\n4871 7242\n53351 79980\n21578 32276\n96708 100000\n94103 100000\n32403 48480\n44112 66105\n41123 61638\n93673 100000\n47215 70771\n72832 100000\n18928 28297\n696 1042\n72711 100000\n90772 100000\n15603 23323\n69748 100000\n94283 100000\n29392 43943\n18880 28229\n18898 28254\n23564 35270\n93842 100000\n2617 3915\n46904 70294\n67374 100000\n36996 55402\n67154 100000\n25016 37446\n25500 38167\n37673 56430\n91226 100000\n41763 62578\n2811 4193\n18535 27707\n2049 3071\n54115 81121\n84630 100000\n65332 97992\n22839 34189\n46681 69951\n84431 100000\n15273 22818\n80478 100000\n3012 4493\n86055 100000\n52767 79108\n82469 100000\n36729 55008\n75250 100000\n77423 100000\n13414 20058\n39527 59224\n7761 11569\n63986 95965\n63103 94646\n85303 100000\n8110 12070\n24465 36629\n2864 4274\n53230 79801\n44481 66631\n14525 21697\n38963 58351\n42006 62949\n14411 21527\n68370 100000\n33386 49939\n21662 32404\n72398 100000\n48356 72472\n18270 27308\n76055 100000\n33016 49385\n8221 12237\n5585 8316\n25531 38210\n57511 86195\n18855 28193\n94006 100000\n8199 12202\n95445 100000\n18758 28045\n71739 100000\n55271 82837\n47322 70929\n13108 19602\n7833 11669\n41467 62146\n74269 100000\n91755 100000\n28998 43354\n17282 25820\n57335 85927\n58891 88274\n53476 80162\n60720 91062\n47914 71819\n62890 94318\n64077 96094\n47182 70719\n53193 79744\n15003 22418\n2327 3485\n33451 50034\n60064 90057\n13310 19904\n80589 100000\n17847 26689\n81664 100000\n4263 6339\n71270 100000\n44523 66695\n4946 7355\n90048 100000\n77956 100000\n33490 50096\n850 1274\n18258 27292\n54671 81943\n6952 10365\n14166 21168\n54073 81057\n57243 85790\n1542 2299\n26050 38984\n1317 1970\n74133 100000\n76912 100000\n26855 40191\n38018 56941\n9968 14877\n87263 100000\n15923 23811\n14280 21338\n88701 100000\n23125 34615\n82373 100000\n39076 58526\n83154 100000\n13249 19808\n53379 80021\n33754 50493\n40919 61329\n88648 100000\n36395 54500\n35794 53573\n60210 90282\n62528 93778\n33821 50591\n92027 100000\n10415 15554\n89490 100000\n23793 35605\n80242 100000\n36529 54698\n47655 71421\n43361 64976\n72455 100000\n90930 100000\n30544 45683\n58077 87054\n69730 100000\n1906 2855\n13351 19964\n63285 94917\n97860 100000\n92264 100000\n31269 46782\n16458 24597\n32221 48217\n69619 100000\n31794 47577\n94748 100000\n22066 33014\n23809 35632\n52857 79250\n76440 100000\n28706 42924\n99706 100000\n40008 59933\n60918 91354\n10088 15058\n75690 100000\n4258 6333\n35779 53550\n51773 77608\n50357 75488\n19983 29873\n56450 84607\n49089 73574\n37151 55637\n45710 68482\n76979 100000\n72592 100000\n7397 11034\n16196 24214\n32546 48683\n54335 81447\n24824 37163\n48048 72020\n77328 100000\n87479 100000\n64021 96012\n14757 22046\n75606 100000\n66246 99365\n90595 100000\n95915 100000\n225 336\n98273 100000\n97636 100000\n79976 100000\n28203 42182\n19229 28753\n65325 97982\n54776 82103\n28629 42805\n16667 24904\n7804 11625\n16317 24391\n40068 60021\n64875 97285\n68383 100000\n53778 80621\n98309 100000\n7454 11115\n63955 95917\n7946 11830\n5728 8527\n79954 100000\n1082 1622\n95146 100000\n14015 20947\n48960 73377\n17141 25608\n16614 24829\n48608 72846\n70007 100000\n71979 100000\n72185 100000\n56472 84643\n92739 100000\n65521 98280\n40601 60838\n53225 79793\n77603 100000\n30961 46328\n49600 74358\n30338 45371\n18404 27510\n81750 100000\n98128 100000\n87313 100000\n46614 69850\n66841 100000\n25493 38156\n74471 100000\n11183 16688\n98231 100000\n39 56\n25048 37494\n41804 62637\n5109 7608\n45449 68087\n3680 5471\n45122 67593\n60580 90846\n32123 48069\n35485 53103\n59578 89306\n32203 48191\n21479 32126\n15780 23592\n20382 30473\n61219 91806\n13185 19721\n67271 100000\n16696 24947\n4370 6500\n24585 36808\n29206 43663\n90329 100000\n36722 54996\n39712 59490\n72309 100000\n92421 100000\n32418 48503\n9032 13472\n19947 29823\n40778 61114\n2977 4440\n41566 62288\n86197 100000\n62265 93395\n16579 24776\n52437 78604\n33426 49998\n1476 2204\n57216 85750\n8989 13406\n40901 61304\n92806 100000\n78804 100000\n58781 88113\n36934 55308\n13477 20152\n43515 65216\n13426 20078\n48172 72204\n48335 72440\n31138 46578\n82509 100000\n58740 88049\n68134 100000\n8352 12432\n82874 100000\n11393 17005\n51038 76510\n45768 68571\n42112 63108\n42880 64250\n25074 37534\n55445 83100\n29265 43752\n83856 100000\n62200 93299\n63655 95449\n78459 100000\n77074 100000\n17592 26292\n5463 8142\n11965 17899\n38241 57270\n41359 61977\n25438 38075\n94976 100000\n82032 100000\n64906 97332\n57249 85799\n50324 75436\n61314 91963\n93295 100000\n71333 100000\n34884 52184\n46617 69856\n24036 35971\n91548 100000\n13454 20117\n77455 100000\n44781 67073\n5780 8605\n48984 73412\n96220 100000\n69 103\n35684 53403\n23545 35242\n17835 26670\n38426 57561\n97214 100000\n48250 72316\n59643 89412\n28793 43053\n95063 100000\n26338 39430\n1394 2084\n85028 100000\n43693 65482\n97108 100000\n27686 41415\n83638 100000\n28201 42178\n14831 22159\n62884 94310\n33778 50525\n41775 62596\n43116 64609\n53245 79827\n36465 54603\n20312 30365\n30691 45910\n27409 41010\n24721 37006\n54031 80994\n57974 86896\n27639 41346\n2737 4080\n84621 100000\n46256 69303\n60050 90035\n36649 54887\n36220 54238\n2893 4321\n89168 100000\n63327 94979\n10944 16330\n33536 50164\n36569 54763\n46455 69614\n3140 4676\n19053 28488\n28536 42669\n42850 64206\n43527 65236\n41828 62678\n19105 28569\n52168 78196\n97263 100000\n57222 85759\n20615 30826\n64480 96689\n57040 85498\n49802 74658\n7520 11213\n11301 16870\n50776 76114\n14117 21094\n83027 100000\n32084 48009\n28615 42785\n36782 55089\n78004 100000\n28434 42528\n15568 23271\n6418 9567\n19034 28459\n11447 17092\n33302 49813\n57827 86674\n212 315\n1903 2851\n58947 88359\n48942 73351\n48474 72649\n99977 100000\n20361 30439\n31181 46644\n70533 100000\n28838 43118\n39566 59277\n37101 55564\n67333 100000\n92293 100000\n4732 7034\n51817 77673\n44440 66577\n80661 100000\n76751 100000\n64803 97177\n60975 91439\n4130 6141\n77062 100000\n96551 100000\n82487 100000\n31460 47074\n81620 100000\n30735 45982\n13643 20395\n96981 100000\n76813 100000\n48411 72554\n99821 100000\n79626 100000\n95628 100000\n74887 100000\n22278 33338\n67609 100000\n84154 100000\n82776 100000\n3682 5474\n55258 82818\n82833 100000\n79970 100000\n31757 47521\n56003 83934\n65094 97615\n60293 90408\n58160 87179\n44760 67044\n17228 25738\n44144 66155\n22353 33457\n35446 53040\n86394 100000\n8525 12704\n47338 70952\n25064 37518\n31866 47685\n42666 63927\n86690 100000\n75848 100000\n56544 84758\n74104 100000\n4140 6155\n38921 58288\n44470 66616\n54287 81380\n29199 43652\n58202 87241\n61600 92393\n57908 86800\n69096 100000\n13606 20342\n61450 92169\n14891 22254\n90226 100000\n84839 100000\n8317 12380\n4769 7088\n30603 45777\n57064 85531\n46289 69352\n12875 19254\n38873 58224\n59597 89339\n34796 52054\n74244 100000\n95125 100000\n88956 100000\n28538 42671\n12400 18545\n28041 41938\n95123 100000\n60637 90933\n27572 41243\n44313 66394\n79681 100000\n90948 100000\n98511 100000\n86318 100000\n56578 84804\n9975 14889\n25226 37760\n50295 75393\n46214 69240\n91502 100000\n66884 100000\n42312 63401\n36001 53890\n78682 100000\n2083 3125\n20610 30818\n12743 19058\n87620 100000\n62976 94449\n94399 100000\n70751 100000\n35297 52807\n72618 100000\n21361 31947\n21221 31737\n35410 52979\n13468 20140\n52604 78852\n37302 55869\n89291 100000\n47428 71086\n23702 35474\n1147 1713\n21551 32240\n56066 84022\n2200 3292\n59983 89925\n65890 98822\n81580 100000\n79178 100000\n19454 29091\n15373 22968\n59975 89914\n60217 90290\n83750 100000\n8383 12479\n33030 49408\n88081 100000\n68326 100000\n57496 86175\n49531 74249\n72556 100000\n17234 25746\n98321 100000\n62412 93608\n51825 77684\n10107 15088\n77658 100000\n45286 67847\n72486 100000\n23794 35607\n57307 85881\n48232 72288\n10875 16227\n97642 100000\n27577 41249\n67880 100000\n76056 100000\n48829 73176\n95106 100000\n63118 94670\n76731 100000\n9303 13870\n65963 98938\n28695 42905\n705 1054\n71174 100000\n56283 84356\n53185 79731\n97524 100000\n45911 68778\n54101 81099\n44940 67313\n96414 100000\n72124 100000\n72251 100000\n49690 74491\n80418 100000\n69192 100000\n33086 49492\n50387 75536\n41914 62809\n34512 51640\n31936 47791\n64224 96308\n77332 100000\n2225 3328\n44945 67320\n46242 69281\n70143 100000\n55995 83921\n50782 76122\n30065 44969\n46761 70073\n63686 95497\n8345 12422\n67960 100000\n2505 3752\n8264 12299\n62181 93271\n52680 78973\n37373 55979\n96488 100000\n48584 72810\n18434 27554\n85266 100000\n50840 76210\n48162 72192\n68633 100000\n56787 85120\n48291 72375\n4709 6998\n82084 100000\n2872 4288\n96617 100000\n38663 57910\n98903 100000\n83054 100000\n27561 41225\n72601 100000\n10985 16390\n35164 52608\n43057 64525\n79870 100000\n61475 92204\n12797 19142\n37523 56204\n71022 100000\n74218 100000\n34864 52153\n31341 46893\n68153 100000\n5667 8435\n56736 85042\n20836 31157\n89847 100000\n97200 100000\n94340 100000\n88795 100000\n4112 6109\n77943 100000\n41904 62791\n21013 31422\n76807 100000\n30022 44906\n9254 13796\n13106 19600\n3053 4551\n3388 5038\n84170 100000\n11930 17843\n40942 61364\n96301 100000\n13634 20382\n12838 19200\n43314 64908\n11673 17448\n56537 84746\n4897 7281\n16917 25275\n70807 100000\n25630 38358\n64061 96069\n49042 73501\n22504 33682\n36811 55131\n33109 49529\n11488 17159\n51119 76626\n46156 69157\n43776 65603\n39239 58777\n8664 12908\n97652 100000\n92970 100000\n44224 66268\n58691 87979\n44134 66139\n1912 2861\n43478 65161\n14155 21152\n93260 100000\n77132 100000\n90543 100000\n67994 100000\n91184 100000\n21666 32411\n97306 100000\n41229 61793\n25492 38155\n82517 100000\n59225 88770\n92923 100000\n60249 90338\n91501 100000\n7282 10858\n37149 55635\n66646 99967\n13109 19603\n19878 29724\n78495 100000\n66492 99734\n97388 100000\n7506 11194\n47279 70863\n63624 95406\n53425 80085\n91110 100000\n3156 4700\n38116 57087\n52318 78422\n79003 100000\n35372 52921\n28131 42076\n58517 87720\n49195 73741\n27989 41858\n21813 32632\n24238 36279\n68890 100000\n61015 91499\n77782 100000\n48807 73144\n32350 48407\n67652 100000\n59503 89192\n10666 15911\n19713 29477\n27836 41636\n67414 100000\n47501 71195\n91168 100000\n39930 59812\n70779 100000\n21035 31452\n63587 95354\n90999 100000\n35520 53160\n20619 30833\n56319 84410\n79533 100000\n21687 32442\n12900 19292\n63346 95006\n39059 58500\n27792 41568\n7727 11524\n27086 40532\n90435 100000\n53702 80507\n9764 14568\n9346 13936\n29036 43413\n75347 100000\n29092 43495\n63894 95823\n55867 83729\n83619 100000\n33409 49969\n67209 100000\n35699 53424\n68414 100000\n74694 100000\n82623 100000\n2827 4217\n74974 100000\n14565 21761\n52927 79359\n40211 60237\n36531 54702\n26788 40097\n53891 80789\n61405 92103\n17943 26824\n21749 32531\n88124 100000\n77731 100000\n65445 98165\n3924 5824\n90594 100000\n81137 100000\n24958 37352\n98022 100000\n27884 41702\n8292 12341\n57946 86860\n23367 34978\n41536 62248\n76234 100000\n87046 100000\n22120 33100\n98708 100000\n20719 30987\n17211 25713\n51015 76474\n33457 50042\n53477 80163\n40218 60249\n53227 79796\n40545 60750\n19987 29880\n25419 38047\n30264 45267\n23414 35045\n59667 89448\n39166 58665\n77186 100000\n47570 71299\n5090 7580\n78208 100000\n32324 48368\n29761 44512\n43974 65901\n26719 39997\n73229 100000\n82279 100000\n51892 77783\n93738 100000\n27648 41355\n63349 95010\n93251 100000\n57526 86220\n86196 100000\n87153 100000\n53606 80361\n52615 78870\n87445 100000\n3008 4485\n1708 2547\n72340 100000\n60105 90118\n68096 100000\n68111 100000\n38667 57916\n29612 44285\n11882 17776\n22855 34216\n47480 71164\n10533 15719\n10948 16337\n58012 86957\n99774 100000\n45163 67655\n76306 100000\n89009 100000\n98152 100000\n628 940\n49540 74263\n95663 100000\n64095 96118\n47311 70913\n74920 100000\n58771 88097\n89911 100000\n91948 100000\n23785 35592\n52398 78539\n99370 100000\n92801 100000\n70586 100000\n45005 67412\n94833 100000\n54150 81174\n38555 57753\n4894 7276\n54795 82132\n24250 36298\n56221 84264\n92903 100000\n96045 100000\n14021 20955\n93098 100000\n80138 100000\n52026 77981\n56071 84029\n62023 93035\n96256 100000\n74647 100000\n62740 94091\n17811 26631\n46515 69700\n89275 100000\n49313 73911\n14594 21800\n56453 84612\n17649 26378\n61900 92851\n26755 40050\n32805 49066\n62698 94030\n60551 90803\n73605 100000\n30475 45578\n91772 100000\n76544 100000\n70495 100000\n12267 18356\n94366 100000\n42499 63681\n49026 73474\n91890 100000\n40305 60380\n1130 1692\n43851 65720\n87349 100000\n89773 100000\n51953 77878\n44192 66226\n92172 100000\n10235 15271\n49931 74855\n95078 100000\n31738 47494\n55329 82924\n91657 100000\n96652 100000\n42867 64229\n20295 30336\n40391 60510\n3373 5013\n14788 22092\n82535 100000\n46048 68992\n71143 100000\n22446 33594\n3015 4497\n23167 34673\n80 118\n25767 38565\n63085 94618\n40463 60617\n75292 100000\n96621 100000\n75006 100000\n60724 91068\n49541 74265\n11193 16705\n59305 88896\n77795 100000\n93958 100000\n80906 100000\n33 48\n78285 100000\n18620 27828\n59145 88649\n3972 5900\n82508 100000\n85820 100000\n51764 77594\n93626 100000\n32659 48845\n74661 100000\n52893 79305\n61226 91817\n40070 60023\n37775 56579\n27871 41684\n90434 100000\n75336 100000\n67028 100000\n14033 20973\n88548 100000\n44705 66964\n92221 100000\n90501 100000\n61681 92522\n18627 27841\n52289 78377\n9994 14919\n95955 100000\n26295 39364\n72665 100000\n80152 100000\n71264 100000\n8812 13137\n89779 100000\n47031 70488\n57437 86083\n55679 83439\n89973 100000\n23719 35498\n99099 100000\n5525 8232\n86517 100000\n50493 75685\n23910 35784\n35888 53721\n29290 43787\n40936 61355\n57607 86341\n29278 43768\n2349 3518\n7370 10992\n9170 13674\n87993 100000\n7605 11340\n64214 96290\n40989 61434\n2134 3195\n7012 10456\n43622 65378\n27102 40558\n11020 16447\n93733 100000\n67475 100000\n33619 50285\n99542 100000\n41924 62823\n28043 41942\n95722 100000\n87492 100000\n65813 98713\n61255 91869\n6597 9827\n42948 64363\n75904 100000\n17203 25701\n46955 70373\n30118 45050\n2641 3954\n32097 48029\n86714 100000\n55653 83401\n42972 64395\n1364 2038\n61944 92917\n22699 33972\n71271 100000\n39292 58856\n77764 100000\n24531 36732\n63324 94975\n57612 86350\n25025 37460\n62363 93538\n21493 32146\n69613 100000\n11977 17916\n98775 100000\n11190 16701\n95833 100000\n1843 2755\n78121 100000\n37564 56267\n67866 100000\n86710 100000\n21429 32048\n95185 100000\n10450 15606\n29146 43574\n5150 7666\n77938 100000\n52251 78323\n21624 32346\n20348 30420\n56489 84671\n55006 82447\n41431 62090\n22373 33487\n84302 100000\n60775 91142\n48181 72221\n17142 25610\n45606 68322\n77668 100000\n45055 67480\n21987 32896\n40864 61248\n56823 85173\n79220 100000\n41055 61537\n95754 100000\n23464 35120\n17747 26529\n24117 36091\n28003 41880\n2915 4352\n5461 8138\n14904 22273\n21219 31735\n50702 75998\n92968 100000\n83781 100000\n27885 41703\n59127 88622\n50542 75762\n21265 31806\n58179 87208\n52675 78968\n77543 100000\n16393 24501\n76032 100000\n43199 64722\n91773 100000\n31304 46834\n1561 2328\n9725 14510\n59727 89540\n5651 8411\n46171 69178\n64804 97179\n33094 49507\n15924 23813\n4459 6633\n58071 87045\n26446 39592\n32 46\n80407 100000\n90328 100000\n83063 100000\n90964 100000\n53055 79546\n61263 91881\n86504 100000\n86372 100000\n33993 50850\n35823 53618\n24344 36439\n42643 63894\n40950 61376\n87926 100000\n91418 100000\n83435 100000\n54783 82114\n61990 92984\n30704 45930\n45242 67778\n99773 100000\n89147 100000\n73517 100000\n5224 7781\n51654 77428\n99618 100000\n94490 100000\n79354 100000\n62160 93241\n8253 12283\n8214 12225\n66603 99902\n84699 100000\n11752 17573\n7639 11391\n87986 100000\n42151 63164\n5295 7885\n14829 22156\n62711 94049\n24164 36163\n59565 89287\n45660 68405\n12489 18674\n85371 100000\n76781 100000\n56237 84288\n2141 3206\n30103 45026\n60287 90398\n65777 98661\n97745 100000\n59735 89552\n43498 65192\n62337 93502\n41204 61759\n92088 100000\n39361 58966\n93786 100000\n65077 97586\n28584 42736\n79729 100000\n16277 24332\n58830 88192\n73165 100000\n43484 65170\n65567 98349\n64367 96523\n18452 27583\n96380 100000\n85457 100000\n98137 100000\n55099 82579\n27549 41209\n66480 99716\n65961 98935\n9406 14029\n77604 100000\n16901 25253\n77466 100000\n60172 90217\n41409 62057\n85770 100000\n717 1071\n33582 50231\n26777 40081\n84799 100000\n25527 38205\n26582 39792\n94571 100000\n88979 100000\n27456 41074\n78633 100000\n22162 33163\n57657 86420\n73239 100000\n48946 73357\n85319 100000\n36629 54857\n44433 66565\n59468 89139\n3301 4914\n82580 100000\n83930 100000\n7743 11544\n93748 100000\n28078 41994\n21335 31912\n29360 43898\n95952 100000\n64547 96791\n48311 72403\n67878 100000\n3224 4802\n58502 87695\n87284 100000\n45329 67911\n34667 51859\n40546 60751\n15670 23427\n92948 100000\n88551 100000\n72291 100000\n54237 81304\n385 565\n80486 100000\n36109 54065\n97318 100000\n87322 100000\n45404 68020\n74118 100000\n85122 100000\n11197 16712\n77336 100000\n21660 32402\n1633 2429\n72829 100000\n73532 100000\n17841 26680\n10831 16155\n12590 18825\n25403 38022\n21654 32393\n75491 100000\n63358 95022\n70377 100000\n23612 35340\n19581 29290\n91172 100000\n78298 100000\n34590 51753\n69644 100000\n81635 100000\n99036 100000\n44800 67101\n20170 30143\n53209 79769\n98997 100000\n8257 12289\n3940 5853\n39521 59215\n54889 82269\n43834 65694\n85130 100000\n25300 37869\n92017 100000\n3977 5907\n15211 22726\n16007 23935\n40759 61085\n38905 58268\n17659 26396\n33585 50235\n47541 71259\n71176 100000\n35819 53613\n53414 80070\n29423 43993\n16563 24753\n11800 17645\n34873 52168\n53877 80769\n1020 1526\n47933 71849\n90675 100000\n24446 36599\n43960 65880\n62569 93837\n33449 50031\n39574 59288\n82498 100000\n32735 48958\n10354 15452\n97341 100000\n94541 100000\n16451 24586\n17106 25559\n63755 95606\n29056 43444\n20016 29917\n88750 100000\n44422 66549\n30019 44902\n99915 100000\n83443 100000\n34589 51752\n95827 100000\n16396 24505\n42302 63387\n74607 100000\n94753 100000\n32034 47935\n92288 100000\n49209 73761\n12964 19387\n52280 78364\n42519 63711\n73246 100000\n46375 69486\n78330 100000\n14767 22060\n89220 100000\n31886 47713\n42631 63876\n9342 13929\n74580 100000\n44752 67032\n57230 85769\n89680 100000\n85773 100000\n38915 58279\n69887 100000\n54599 81840\n66579 99866\n73649 100000\n70597 100000\n53131 79654\n37044 55478\n32606 48768\n42757 64064\n33376 49925\n59744 89562\n6639 9886\n50482 75669\n275 406\n69503 100000\n53023 79508\n31316 46852\n26895 40251\n43465 65144\n27226 40743\n66773 100000\n13300 19885\n61096 91622\n4243 6311\n35758 53518\n1660 2471\n96456 100000\n97815 100000\n15569 23273\n86944 100000\n34918 52240\n70891 100000\n3588 5332\n90317 100000\n41481 62166\n56769 85090\n65718 98569\n23338 34935\n16133 24119\n46294 69362\n63933 95885\n15048 22483\n21430 32050\n62093 93143\n71961 100000\n53044 79533\n70759 100000\n65363 98042\n68231 100000\n84852 100000\n44396 66510\n88671 100000\n18255 27287\n52797 79158\n19474 29121\n78370 100000\n74750 100000\n67290 100000\n77156 100000\n68740 100000\n37363 55961\n91670 100000\n88864 100000\n65156 97713\n82725 100000\n9045 13491\n69971 100000\n69941 100000\n23096 34571\n31400 46983\n78914 100000\n48828 73175\n88627 100000\n59294 88881\n63526 95266\n85167 100000\n45342 67930\n13154 19674\n10770 16066\n65826 98730\n91258 100000\n29050 43436\n63307 94949\n80373 100000\n54017 80972\n73096 100000\n38204 57215\n50355 75485\n18801 28107\n91567 100000\n33432 50007\n97077 100000\n85840 100000\n52768 79110\n29824 44610\n41987 62921\n9778 14588\n4914 7308\n43453 65125\n90638 100000\n83288 100000\n16794 25090\n68449 100000\n95375 100000\n40695 60983\n56483 84662\n98346 100000\n10401 15529\n69378 100000\n29483 44080\n83543 100000\n39788 59602\n87826 100000\n27037 40458\n81776 100000\n35709 53439\n86406 100000\n15846 23691\n16398 24508\n68569 100000\n97889 100000\n91717 100000\n29851 44648\n40435 60577\n64070 96082\n94919 100000\n92479 100000\n44157 66177\n95091 100000\n93387 100000\n54591 81830\n13745 20546\n48884 73260\n40517 60704\n30416 45492\n23048 34504\n73544 100000\n89801 100000\n70669 100000\n14835 22165\n44851 67176\n50877 76263\n69162 100000\n32411 48492\n77448 100000\n6442 9599\n20143 30105\n21564 32258\n28839 43119\n82062 100000\n46607 69840\n88137 100000\n30370 45423\n64894 97314\n78890 100000\n40095 60060\n77031 100000\n33810 50574\n45656 68399\n56312 84399\n82539 100000\n77602 100000\n2738 4082\n30106 45030\n91962 100000\n9213 13735\n39802 59623\n48841 73195\n49913 74827\n93803 100000\n32226 48224\n91169 100000\n21113 31572\n58446 87609\n79577 100000\n48231 72287\n74763 100000\n60316 90445\n31795 47578\n40732 61045\n2265 3387\n90194 100000\n68241 100000\n63049 94559\n48423 72570\n26127 39109\n26764 40064\n42407 63547\n57565 86273\n74141 100000\n37362 55959\n1670 2489\n676 1013\n95843 100000\n88830 100000\n83393 100000\n94382 100000\n80376 100000\n46336 69422\n24842 37187\n93436 100000\n89575 100000\n70885 100000\n84640 100000\n30773 46038\n94156 100000\n12540 18748\n60052 90038\n55688 83451\n65522 98282\n28341 42393\n52726 79043\n98401 100000\n90658 100000\n26175 39181\n77966 100000\n3650 5427\n67643 100000\n75881 100000\n829 1241\n90783 100000\n79313 100000\n11070 16519\n64142 96188\n7999 11907\n85958 100000\n43133 64634\n41017 61476\n36651 54889\n21008 31414\n89007 100000\n69688 100000\n35591 53266\n85463 100000\n95080 100000\n40917 61327\n18399 27503\n87114 100000\n1968 2945\n68345 100000\n77345 100000\n49457 74140\n85530 100000\n33528 50150\n61737 92609\n54198 81248\n99103 100000\n25461 38111\n51846 77718\n21155 31638\n93011 100000\n53533 80245\n84395 100000\n73871 100000\n70277 100000\n71508 100000\n71061 100000\n31904 47742\n54543 81764\n38395 57512\n91875 100000\n41274 61855\n17392 25995\n217 325\n39214 58740\n34549 51690\n57460 86120\n39487 59159\n25400 38017\n50637 75890\n59326 88923\n15896 23766\n51030 76496\n14001 20926\n5969 8889\n20297 30339\n98108 100000\n20125 30078\n23770 35570\n87652 100000\n43649 65414\n81357 100000\n41194 61744\n12592 18828\n21939 32825\n50163 75194\n76576 100000\n51399 77053\n96193 100000\n30967 46334\n69109 100000\n17350 25930\n24219 36253\n94856 100000\n20807 31116\n70262 100000\n80438 100000\n67792 100000\n43198 64721\n82849 100000\n15281 22829\n4719 7012\n45103 67564\n2746 4094\n54362 81491\n7257 10820\n37706 56478\n84913 100000\n6964 10382\n29892 44708\n57477 86146\n38299 57360\n91196 100000\n27185 40681\n51322 76934\n41932 62834\n55045 82503\n1835 2743\n23088 34561\n35442 53032\n75259 100000\n85693 100000\n54437 81599\n54272 81358\n40768 61099\n30675 45887\n31945 47806\n12785 19120\n15301 22860\n5454 8127\n14559 21750\n63918 95863\n24243 36287\n34044 50925\n66532 99795\n9316 13890\n37521 56202\n70240 100000\n70318 100000\n79121 100000\n46477 69645\n64333 96469\n32500 48623\n19136 28614\n84936 100000\n15315 22881\n43786 65619\n96779 100000\n61703 92555\n9199 13713\n21179 31672\n312 460\n8235 12258\n92693 100000\n96290 100000\n15686 23447\n21636 32365\n67854 100000\n63102 94644\n89712 100000\n76837 100000\n16686 24930\n41044 61521\n54871 82247\n7631 11379\n92218 100000\n26455 39605\n80135 100000\n49230 73791\n85137 100000\n24170 36173\n84114 100000\n59483 89162\n93760 100000\n26022 38947\n9194 13707\n92035 100000\n12255 18339\n26793 40105\n30197 45167\n29720 44450\n68699 100000\n81848 100000\n2406 3605\n26474 39634\n65650 98471\n86203 100000\n89421 100000\n553 829\n14785 22088\n60216 90289\n68965 100000\n69338 100000\n78651 100000\n42240 63297\n2174 3257\n14232 21263\n86029 100000\n78234 100000\n23427 35063\n29207 43665\n34881 52179\n15482 23138\n74904 100000\n82741 100000\n49301 73894\n23651 35398\n50174 75211\n31891 47720\n5408 8059\n42068 63043\n60194 90254\n54283 81375\n83945 100000\n15390 22991\n70280 100000\n99504 100000\n95163 100000\n62855 94268\n22889 34268\n94972 100000\n44644 66869\n58704 87999\n43792 65628\n47437 71101\n87403 100000\n26684 39946\n95586 100000\n7416 11063\n14938 22325\n41331 61933\n4697 6979\n74308 100000\n3088 4602\n81319 100000\n399 589\n36324 54390\n75625 100000\n77972 100000\n76028 100000\n89601 100000\n47616 71368\n31524 47170\n7844 11686\n24274 36330\n77974 100000\n31674 47391\n24495 36673\n31274 46788\n91711 100000\n47750 71567\n23031 34482\n64759 97107\n37303 55870\n5686 8460\n54181 81223\n77657 100000\n55393 83019\n35843 53650\n4202 6249\n18321 27389\n67958 100000\n81578 100000\n18651 27879\n41162 61696\n86403 100000\n57253 85806\n22671 33929\n85718 100000\n35452 53051\n14236 21269\n96550 100000\n36964 55355\n64935 97374\n25431 38065\n45375 67980\n30664 45869\n67450 100000\n84315 100000\n80523 100000\n55233 82780\n24441 36590\n89320 100000\n59265 88836\n65073 97579\n82231 100000\n70395 100000\n60625 90914\n51497 77190\n67174 100000\n55369 82984\n72791 100000\n19744 29524\n22426 33564\n37216 55736\n88875 100000\n18983 28380\n62931 94384\n45322 67900\n20169 30141\n19208 28718\n72984 100000\n34721 51943\n31621 47314\n42455 63621\n74937 100000\n8466 12607\n91095 100000\n82147 100000\n93814 100000\n92096 100000\n90755 100000\n8087 12034\n98716 100000\n59853 89733\n9273 13824\n45165 67658\n73585 100000\n37265 55810\n56759 85077\n35796 53576\n51737 77556\n10413 15551\n51071 76557\n68213 100000\n48019 71973\n74063 100000\n68469 100000\n33599 50258\n36274 54318\n92517 100000\n30870 46193\n14460 21598\n22546 33744\n30594 45762\n25 38\n13077 19558\n65973 98955\n21101 31554\n64332 96468\n24343 36438\n12371 18501\n59193 88723\n93494 100000\n92779 100000\n88242 100000\n40268 60324\n78451 100000\n79803 100000\n58104 87094\n85482 100000\n37922 56797\n87706 100000\n90176 100000\n98039 100000\n45234 67765\n26128 39111\n63368 95035\n86007 100000\n86873 100000\n83047 100000\n63698 95517\n58471 87644\n63151 94714\n81032 100000\n73828 100000\n89798 100000\n87506 100000\n59375 88997\n93186 100000\n14576 21774\n5012 7460\n70405 100000\n877 1316\n25049 37495\n95789 100000\n75887 100000\n97138 100000\n13960 20862\n12824 19180\n1562 2330\n90389 100000\n5831 8683\n6973 10396\n10578 15788\n6090 9075\n426 633\n37347 55937\n92671 100000\n76658 100000\n9698 14467\n98924 100000\n78042 100000\n53331 79952\n64714 97039\n97332 100000\n99325 100000\n6902 10291\n70199 100000\n96912 100000\n87740 100000\n10891 16253\n27720 41462\n16922 25283\n59345 88953\n13366 19983\n57632 86383\n73840 100000\n5253 7823\n71074 100000\n93062 100000\n55849 83700\n79996 100000\n71540 100000\n24618 36860\n46312 69389\n32175 48146\n61467 92193\n5329 7933\n68759 100000\n22337 33431\n37699 56466\n2956 4413\n41786 62611\n71551 100000\n57498 86178\n49279 73863\n43452 65123\n81183 100000\n25322 37899\n9694 14460\n26198 39216\n83138 100000\n29732 44467\n83648 100000\n6301 9397\n56156 84166\n55065 82531\n96509 100000\n74470 100000\n15155 22641\n1174 1752\n54770 82095\n65716 98566\n34772 52018\n58559 87777\n4435 6597\n48021 71976\n50540 75759\n52947 79390\n98517 100000\n49883 74781\n52844 79230\n75244 100000\n25000 37421\n2573 3855\n67804 100000\n66791 100000\n67078 100000\n11547 17252\n1016 1521\n8651 12890\n53115 79630\n70092 100000\n38612 57837\n51379 77026\n15337 22914\n92216 100000\n40734 61048\n81462 100000\n19062 28503\n63983 95959\n35968 53839\n83170 100000\n36532 54704\n41391 62027\n25473 38129\n40699 60990\n83684 100000\n93136 100000\n12507 18700\n2983 4450\n2411 3611\n58007 86949\n55577 83292\n23868 35723\n55288 82865\n39992 59906\n12941 19351\n42484 63659\n87138 100000\n94782 100000\n31683 47405\n64025 96017\n31322 46863\n54125 81137\n26787 40095\n1575 2350\n67083 100000\n95953 100000\n66460 99687\n28054 41956\n8888 13252\n47825 71683\n80937 100000\n63592 95360\n5192 7736\n4716 7008\n63149 94711\n8862 13213\n4004 5948\n77254 100000\n23421 35055\n29830 44619\n33378 49927\n4483 6670\n30653 45854\n63593 95362\n66745 100000\n49912 74826\n58865 88240\n67451 100000\n91763 100000\n87539 100000\n3963 5886\n77519 100000\n42148 63159\n82278 100000\n34992 52353\n36508 54664\n68626 100000\n79407 100000\n38798 58113\n24062 36011\n86805 100000\n13387 20014\n24645 36898\n86520 100000\n89417 100000\n30149 45092\n61043 91541\n34811 52076\n95022 100000\n51495 77188\n32919 49239\n25018 37450\n78586 100000\n95922 100000\n95172 100000\n78932 100000\n23231 34773\n53616 80376\n35494 53120\n97711 100000\n39977 59887\n37054 55489\n57309 85885\n30291 45307\n90089 100000\n82633 100000\n86363 100000\n65050 97544\n80251 100000\n43088 64569\n43479 65162\n47291 70882\n56219 84262\n70918 100000\n64391 96560\n19696 29450\n39264 58815\n89073 100000\n19965 29847\n9057 13507\n88459 100000\n85654 100000\n86799 100000\n80099 100000\n60950 91406\n24315 36396\n79899 100000\n81303 100000\n52125 78128\n77704 100000\n74624 100000\n35200 52665\n97150 100000\n25376 37981\n2476 3705\n66712 100000\n8144 12121\n75464 100000\n55574 83288\n18570 27758\n82805 100000\n80844 100000\n72620 100000\n59739 89556\n8723 12999\n8082 12026\n22835 34184\n70024 100000\n44616 66830\n34088 50992\n67527 100000\n51496 77189\n25091 37559\n82942 100000\n5177 7713\n84206 100000\n10359 15460\n21899 32769\n94946 100000\n53108 79622\n31546 47203\n17492 26144\n56223 84267\n65705 98554\n44337 66429\n68686 100000\n974 1455\n39350 58947\n67390 100000\n3132 4665\n13740 20537\n566 848\n30796 46075\n59945 89868\n14125 21107\n46632 69879\n42507 63692\n97599 100000\n89128 100000\n34289 51304\n14780 22079\n51181 76725\n46599 69828\n39530 59230\n71122 100000\n77810 100000\n70937 100000\n7157 10673\n41677 62450\n41823 62668\n88432 100000\n7594 11322\n69160 100000\n35229 52707\n27208 40717\n32794 49047\n85874 100000\n47944 71867\n98878 100000\n58607 87849\n72878 100000\n17310 25864\n73119 100000\n80091 100000\n38829 58158\n18254 27285\n94850 100000\n95167 100000\n18148 27129\n29474 44065\n88947 100000\n3690 5485\n18317 27382\n48072 72056\n53638 80411\n61946 92919\n25646 38384\n2058 3083\n68779 100000\n82043 100000\n46817 70161\n91654 100000\n39852 59700\n17522 26189\n11895 17791\n97694 100000\n48792 73123\n59695 89490\n68978 100000\n44709 66970\n62038 93059\n94578 100000\n10215 15241\n33683 50385\n83978 100000\n94185 100000\n86502 100000\n7998 11906\n65592 98387\n37875 56724\n14592 21796\n94802 100000\n56377 84498\n77949 100000\n48622 72869\n51591 77336\n45838 68672\n60640 90939\n64740 97079\n85712 100000\n61259 91875\n43668 65443\n67761 100000\n49367 74000\n72522 100000\n64496 96713\n82954 100000\n82456 100000\n31639 47338\n82392 100000\n5215 7769\n40677 60956\n11581 17304\n879 1319\n94601 100000\n66806 100000\n28393 42468\n79832 100000\n57994 86926\n80822 100000\n2874 4292\n83488 100000\n91326 100000\n48544 72751\n95135 100000\n10243 15282\n12234 18302\n20177 30151\n73259 100000\n39997 59915\n82272 100000\n78428 100000\n27604 41292\n88271 100000\n94572 100000\n29955 44805\n56363 84478\n12607 18849\n58729 88033\n17034 25452\n28925 43244\n55536 83235\n9125 13607\n42253 63318\n21751 32534\n78672 100000\n76510 100000\n79091 100000\n97604 100000\n58310 87409\n86335 100000\n26410 39538\n40877 61266\n7915 11788\n30552 45695\n35433 53016\n99259 100000\n42199 63235\n39688 59451\n41037 61509\n49321 73926\n97589 100000\n46277 69334\n51464 77142\n33329 49850\n64466 96672\n80642 100000\n51412 77072\n30033 44921\n99510 100000\n66229 99343\n47680 71460\n87684 100000\n70002 100000\n24312 36390\n16086 24054\n64114 96145\n80363 100000\n26436 39578\n65789 98678\n83770 100000\n84281 100000\n59262 88831\n98011 100000\n4429 6587\n93657 100000\n12556 18772\n17458 26096\n64912 97339\n38703 57972\n30208 45183\n7060 10523\n34338 51375\n35905 53747\n93250 100000\n34510 51638\n52095 78087\n1055 1579\n46740 70043\n23263 34825\n3960 5882\n199 295\n94300 100000\n29149 43579\n53880 80773\n25449 38091\n85429 100000\n5634 8386\n85421 100000\n77418 100000\n80624 100000\n40082 60042\n80885 100000\n34315 51342\n10574 15780\n40906 61310\n62173 93261\n52157 78178\n59856 89736\n29295 43796\n89399 100000\n34529 51662\n37897 56759\n18128 27098\n28106 42038\n98600 100000\n99984 100000\n7633 11381\n88141 100000\n12807 19156\n7747 11548\n62342 93509\n54843 82205\n13552 20263\n35109 52526\n95782 100000\n40727 61035\n72345 100000\n64873 97282\n67867 100000\n2238 3347\n63471 95189\n66326 99487\n66518 99771\n73357 100000\n28539 42672\n68447 100000\n94259 100000\n45195 67704\n11888 17784\n87768 100000\n24093 36055\n89200 100000\n37957 56844\n88848 100000\n8603 12820\n95597 100000\n33739 50470\n2920 4359\n96705 100000\n42102 63093\n61750 92627\n80790 100000\n8649 12888\n22464 33621\n1013 1517\n61507 92251\n73975 100000\n1690 2519\n41720 62514\n50651 75912\n50004 74966\n13365 19982\n23341 34938\n88967 100000\n31478 47104\n98816 100000\n41969 62895\n81674 100000\n96087 100000\n52233 78295\n53296 79900\n39797 59616\n53996 80945\n76738 100000\n82780 100000\n8636 12867\n93645 100000\n47959 71888\n91062 100000\n81716 100000\n43391 65027\n72448 100000\n40665 60937\n7597 11328\n4928 7332\n12703 18995\n40301 60373\n34252 51245\n41513 62215\n33224 49696\n77342 100000\n69689 100000\n85059 100000\n62809 94199\n18033 26955\n20680 30926\n7525 11222\n20063 29988\n43853 65723\n60386 90550\n99240 100000\n53143 79671\n24147 36136\n87881 100000\n42131 63133\n78547 100000\n60006 89962\n82100 100000\n30756 46013\n88787 100000\n63985 95963\n3916 5814\n97532 100000\n83015 100000\n53 78\n65313 97962\n35127 52555\n85786 100000\n13493 20178\n7486 11163\n84138 100000\n74294 100000\n63876 95793\n47703 71493\n56128 84121\n45257 67801\n41287 61872\n17423 26042\n59203 88736\n75766 100000\n37043 55477\n63999 95982\n39013 58430\n62168 93252\n6339 9453\n80514 100000\n29317 43829\n54367 81499\n6455 9621\n89667 100000\n92665 100000\n53557 80284\n99843 100000\n46317 69396\n56295 84374\n92465 100000\n51342 76966\n30690 45908\n62903 94337\n13211 19757\n58132 87136\n73482 100000\n51725 77538\n80858 100000\n94968 100000\n80102 100000\n4049 6014\n32083 48007\n9902 14780\n78943 100000\n58190 87223\n14275 21328\n40516 60703\n54849 82213\n55419 83060\n6900 10288\n80716 100000\n40890 61288\n53819 80683\n87581 100000\n88219 100000\n6571 9792\n78244 100000\n81031 100000\n56956 85369\n79374 100000\n95587 100000\n89277 100000\n51079 76569\n10983 16387\n58634 87891\n54655 81917\n36517 54680\n74915 100000\n20859 31192\n33400 49958\n62728 94076\n62905 94341\n58852 88221\n88444 100000\n51366 77002\n58530 87736\n51974 77911\n9601 14323\n39162 58659\n1065 1595\n41678 62451\n97787 100000\n54716 82013\n21342 31921\n11057 16499\n44243 66293\n96825 100000\n87677 100000\n181 264\n3359 4992\n64666 96970\n75024 100000\n28334 42381\n32153 48113\n66720 100000\n21453 32088\n2891 4318\n20049 29966\n13435 20091\n13750 20553\n64185 96253\n85131 100000\n92387 100000\n56416 84559\n63564 95321\n33244 49726\n34742 51973\n60207 90276\n82653 100000\n17745 26527\n12632 18890\n8226 12244\n78201 100000\n41654 62416\n25358 37955\n76535 100000\n44353 66452\n11860 17742\n66486 99725\n6376 9503\n64806 97182\n37359 55954\n82322 100000\n71541 100000\n11854 17732\n29932 44771\n34754 51989\n75965 100000\n52541 78756\n25241 37779\n40427 60565\n34009 50874\n50037 75016\n63427 95123\n14123 21105\n91313 100000\n28592 42747\n18554 27736\n34484 51595\n12984 19414\n97096 100000\n84191 100000\n92769 100000\n68884 100000\n54708 82001\n13962 20865\n42328 63422\n83818 100000\n57503 86185\n43596 65341\n84879 100000\n35299 52810\n27385 40973\n44866 67198\n23648 35393\n665 994\n21976 32880\n72476 100000\n48983 73411\n95642 100000\n95335 100000\n52931 79365\n77586 100000\n14867 22218\n18364 27453\n68971 100000\n45020 67431\n13248 19807\n22884 34260\n32581 48732\n84391 100000\n94641 100000\n1256 1879\n89885 100000\n92292 100000\n63970 95939\n13827 20669\n28579 42729\n67678 100000\n23035 34487\n53759 80596\n75442 100000\n25071 37529\n8773 13071\n18909 28272\n66415 99623\n8943 13338\n20245 30251\n29410 43971\n35190 52648\n18279 27321\n87073 100000\n17274 25808\n94583 100000\n63048 94558\n95399 100000\n36061 53984\n47724 71522\n52151 78168\n35884 53714\n83234 100000\n46538 69730\n41370 61996\n9557 14261\n27023 40438\n83914 100000\n33087 49494\n78850 100000\n86206 100000\n20004 29902\n34701 51916\n62611 93903\n62166 93250\n63967 95934\n64285 96400\n74880 100000\n75945 100000\n12911 19308\n79619 100000\n48868 73234\n41201 61754\n15621 23351\n75894 100000\n12702 18994\n23014 34456\n41381 62011\n86622 100000\n69534 100000\n44260 66319\n52427 78586\n53587 80332\n69653 100000\n3447 5119\n2610 3906\n5479 8165\n4279 6364\n1373 2053\n38245 57276\n82254 100000\n16238 24279\n13522 20220\n98238 100000\n36354 54436\n13979 20892\n7000 10438\n88924 100000\n78094 100000\n7488 11165\n76227 100000\n65828 98733\n73799 100000\n38338 57424\n66636 99950\n50410 75569\n9717 14499\n10453 15610\n32587 48741\n22670 33928\n54192 81239\n31624 47319\n89435 100000\n41971 62899\n59717 89523\n48061 72037\n25789 38602\n32895 49205\n5196 7742\n66721 100000\n58599 87837\n67612 100000\n86990 100000\n43329 64929\n14962 22361\n49068 73545\n88230 100000\n45985 68894\n15816 23646\n41358 61976\n16828 25141\n40102 60074\n72784 100000\n62820 94215\n54915 82308\n61542 92306\n37811 56626\n90494 100000\n59606 89353\n91267 100000\n93239 100000\n92660 100000\n40382 60496\n91796 100000\n19366 28963\n46291 69356\n94817 100000\n18462 27595\n10349 15445\n13431 20085\n10022 14964\n27244 40768\n95133 100000\n66574 99858\n71997 100000\n36132 54100\n85377 100000\n32189 48169\n8470 12613\n21497 32151\n26476 39637\n4019 5969\n11980 17921\n46491 69668\n32726 48943\n77492 100000\n61232 91828\n20435 30554\n47976 71912\n43812 65657\n54651 81912\n92150 100000\n76563 100000\n69434 100000\n16207 24230\n96872 100000\n19927 29794\n48125 72136\n47576 71309\n95838 100000\n11092 16551\n91417 100000\n54286 81379\n16730 24997\n61709 92565\n28971 43308\n58617 87864\n7147 10659\n2659 3977\n36231 54252\n42268 63338\n475 708\n56278 84348\n99094 100000\n21695 32453\n4912 7304\n6498 9685\n80516 100000\n72040 100000\n79243 100000\n90128 100000\n36083 54022\n95790 100000\n99201 100000\n93801 100000\n78941 100000\n98472 100000\n28750 42990\n75193 100000\n26293 39360\n18993 28396\n73809 100000\n96655 100000\n68458 100000\n27159 40643\n98038 100000\n97163 100000\n15425 23049\n35935 53790\n55549 83252\n40087 60049\n48715 73002\n7200 10736\n23481 35148\n70339 100000\n28207 42190\n99839 100000\n98892 100000\n82310 100000\n39098 58559\n96508 100000\n73369 100000\n90852 100000\n89021 100000\n45672 68422\n42760 64067\n12603 18844\n97352 100000\n69788 100000\n99835 100000\n64006 95990\n11051 16492\n74857 100000\n45901 68764\n96691 100000\n92842 100000\n52161 78185\n93144 100000\n45920 68792\n36329 54398\n33003 49365\n75896 100000\n71462 100000\n3445 5117\n55456 83116\n73588 100000\n48482 72660\n51562 77296\n68278 100000\n68019 100000\n64840 97235\n69312 100000\n15925 23815\n66623 99932\n79543 100000\n29119 43532\n24144 36132\n35662 53367\n94618 100000\n88670 100000\n27005 40411\n56301 84384\n31791 47572\n69690 100000\n75947 100000\n14660 21902\n18039 26965\n28022 41907\n57598 86327\n863 1292\n8866 13219\n55794 83612\n73676 100000\n78205 100000\n17808 26626\n83478 100000\n86718 100000\n11306 16878\n30345 45380\n14068 21023\n73554 100000\n54136 81156\n38683 57941\n29705 44430\n75546 100000\n98246 100000\n79501 100000\n85251 100000\n37880 56732\n90818 100000\n47879 71766\n232 345\n72529 100000\n66844 100000\n95999 100000\n23884 35747\n27500 41138\n85442 100000\n94664 100000\n59963 89897\n23712 35486\n26857 40194\n88977 100000\n36315 54376\n96058 100000\n32442 48538\n90055 100000\n273 403\n5705 8490\n16448 24581\n92023 100000\n71659 100000\n66933 100000\n6869 10240\n21810 32627\n38675 57927\n41120 61632\n32278 48303\n43349 64958\n23189 34707\n80710 100000\n26029 38956\n89295 100000\n82235 100000\n91044 100000\n42882 64254\n64079 96098\n55869 83732\n51757 77585\n9337 13922\n55922 83816\n80752 100000\n93484 100000\n32614 48781\n12648 18913\n28256 42264\n75186 100000\n65186 97759\n4728 7027\n82328 100000\n334 491\n55146 82646\n23188 34706\n12176 18217\n22573 33786\n11164 16660\n5861 8730\n83156 100000\n42141 63148\n74587 100000\n73915 100000\n50936 76354\n47978 71914\n94971 100000\n6603 9833\n67753 100000\n70500 100000\n34509 51637\n80385 100000\n23326 34918\n66454 99676\n83726 100000\n90661 100000\n77666 100000\n10624 15852\n24697 36972\n89324 100000\n84273 100000\n5152 7669\n60462 90665\n16284 24342\n80966 100000\n84727 100000\n60527 90766\n9566 14273\n6861 10226\n72386 100000\n86044 100000\n87112 100000\n43541 65256\n82035 100000\n71966 100000\n60445 90639\n20932 31300\n92618 100000\n30369 45422\n12023 17990\n4262 6338\n24839 37184\n17394 25997\n20146 30109\n41457 62128\n76843 100000\n57265 85823\n39627 59363\n68001 100000\n60688 91013\n95921 100000\n20089 30025\n49476 74167\n50878 76265\n36742 55026\n79885 100000\n451 672\n71567 100000\n11779 17613\n30090 45006\n5346 7962\n36264 54301\n28134 42080\n4175 6211\n96694 100000\n22418 33553\n8161 12147\n462 690\n61762 92642\n24882 37244\n38022 56945\n66969 100000\n11933 17848\n65171 97737\n41922 62821\n45512 68181\n27957 41810\n75422 100000\n42010 62953\n29695 44413\n72939 100000\n88221 100000\n64846 97243\n76027 100000\n93699 100000\n12861 19234\n49486 74182\n53515 80221\n64762 97112\n26234 39269\n39018 58437\n48895 73279\n40712 61012\n36032 53936\n20757 31045\n32053 47963\n49128 73636\n57818 86662\n7557 11266\n10844 16177\n92445 100000\n97032 100000\n28604 42765\n53552 80276\n59584 89316\n26321 39403\n66511 99761\n69708 100000\n51 76\n75928 100000\n78826 100000\n97152 100000\n54074 81058\n89659 100000\n85254 100000\n5644 8402\n36787 55096\n51751 77577\n98811 100000\n21292 31848\n65825 98729\n49850 74732\n5813 8655\n90770 100000\n89627 100000\n4695 6976\n30113 45042\n66312 99465\n41524 62231\n41666 62434\n5723 8517\n65742 98610\n4158 6184\n3033 4522\n93388 100000\n28943 43269\n10716 15986\n97021 100000\n36538 54713\n35791 53567\n68953 100000\n33518 50138\n35425 53004\n52804 79168\n19624 29352\n27216 40730\n28975 43314\n15044 22478\n64296 96414\n55754 83549\n44812 67115\n36558 54745\n33600 50259\n91307 100000\n24522 36717\n41019 61480\n26323 39407\n60356 90504\n48008 71957\n6165 9197\n67238 100000\n23568 35276\n23494 35169\n60152 90189\n96871 100000\n30587 45750\n69621 100000\n48564 72782\n14100 21068\n89202 100000\n65128 97667\n6507 9699\n54870 82246\n13622 20365\n74930 100000\n57926 86828\n95939 100000\n65722 98575\n632 946\n69953 100000\n25350 37945\n78483 100000\n22517 33700\n62550 93808\n21064 31496\n6503 9693\n10059 15018\n51336 76957\n9158 13656\n58688 87975\n45921 68794\n11510 17198\n49370 74004\n72697 100000\n95918 100000\n23659 35412\n86826 100000\n71314 100000\n93795 100000\n14967 22368\n11154 16642\n48342 72450\n98312 100000\n54951 82366\n43924 65830\n48977 73402\n46464 69627\n42361 63475\n9518 14196\n13669 20428\n34915 52235\n47665 71435\n64306 96429\n19473 29119\n1743 2598\n86889 100000\n65877 98806\n60531 90773\n99799 100000\n69774 100000\n19608 29328\n37920 56795\n85533 100000\n88725 100000\n50463 75640\n24983 37394\n71196 100000\n42645 63897\n55683 83444\n77780 100000\n1860 2783\n96422 100000\n15593 23307\n79303 100000\n7110 10599\n74214 100000\n81963 100000\n49666 74453\n46387 69504\n5412 8064\n70204 100000\n80256 100000\n7950 11838\n17726 26499\n32380 48447\n13751 20555\n1385 2072\n98395 100000\n19243 28778\n34871 52164\n4457 6630\n81487 100000\n71338 100000\n68322 100000\n45491 68149\n43019 64468\n5210 7763\n6337 9449\n77552 100000\n7742 11543\n74584 100000\n25655 38398\n92043 100000\n31584 47260\n76204 100000\n92608 100000\n57405 86032\n3583 5325\n89985 100000\n54251 81325\n2963 4421\n74902 100000\n76090 100000\n40808 61163\n33092 49503\n4718 7011\n43839 65701\n21311 31875\n56236 84287\n56571 84797\n639 958\n79627 100000\n66957 100000\n58238 87294\n96382 100000\n23102 34580\n98134 100000\n57232 85772\n73522 100000\n23128 34618\n5111 7610\n22161 33161\n87061 100000\n61037 91533\n70320 100000\n20788 31090\n92317 100000\n34938 52268\n70896 100000\n35265 52760\n29089 43491\n4890 7270\n55559 83267\n75685 100000\n38712 57985\n23698 35470\n97893 100000\n99437 100000\n22968 34390\n72115 100000\n6822 10165\n60824 91217\n31175 46633\n79137 100000\n64985 97449\n74215 100000\n32114 48057\n27404 41003\n41940 62847\n51937 77852\n14146 21137\n76991 100000\n23605 35332\n35932 53785\n33841 50618\n27630 41331\n92103 100000\n80258 100000\n16460 24600\n27454 41072\n42147 63157\n87295 100000\n28227 42219\n37119 55590\n96892 100000\n66288 99428\n93523 100000\n85066 100000\n29252 43734\n61696 92545\n10363 15465\n17582 26278\n33856 50643\n61142 91690\n28779 43031\n39277 58833\n45608 68325\n38005 56920\n15728 23510\n98584 100000\n20813 31124\n63312 94957\n14134 21120\n5550 8269\n67622 100000\n20810 31121\n10347 15441\n29621 44298\n32598 48756\n40133 60119\n39112 58580\n53961 80894\n5594 8330\n64583 96842\n89634 100000\n61958 92937\n54616 81861\n62283 93421\n62230 93345\n90309 100000\n31787 47566\n12044 18025\n98804 100000\n31276 46791\n55436 83086\n76146 100000\n56748 85060\n19709 29470\n32835 49109\n82005 100000\n25720 38496\n24977 37384\n3882 5766\n91443 100000\n64770 97126\n28684 42888\n62049 93077\n29550 44185\n50887 76280\n52902 79319\n65938 98897\n82936 100000\n34623 51798\n63397 95077\n3472 5158\n68813 100000\n93527 100000\n89914 100000\n3702 5505\n9695 14462\n67887 100000\n68215 100000\n8815 13142\n53983 80924\n4338 6451\n78827 100000\n75620 100000\n58671 87950\n6951 10363\n89336 100000\n28726 42954\n37452 56097\n78927 100000\n52561 78788\n62653 93964\n86599 100000\n40206 60229\n77124 100000\n22911 34302\n71583 100000\n61638 92452\n57820 86664\n28140 42088\n95087 100000\n73641 100000\n94999 100000\n23989 35901\n44892 67238\n53212 79773\n38914 58278\n57541 86241\n90756 100000\n92622 100000\n65492 98240\n92202 100000\n90858 100000\n92661 100000\n69483 100000\n74815 100000\n16053 24002\n97291 100000\n64464 96669\n9217 13741\n89047 100000\n63722 95550\n38087 57046\n69221 100000\n24440 36589\n73073 100000\n18524 27689\n8843 13184\n85518 100000\n48780 73101\n80442 100000\n79138 100000\n35063 52459\n44312 66393\n97517 100000\n77991 100000\n98158 100000\n19419 29037\n64239 96328\n33617 50282\n49076 73557\n36636 54868\n59809 89669\n79344 100000\n98036 100000\n87286 100000\n62144 93216\n28370 42434\n10507 15683\n92921 100000\n33519 50139\n7835 11673\n82170 100000\n81586 100000\n3181 4740\n16744 25018\n51174 76713\n53542 80258\n79403 100000\n44165 66188\n32517 48646\n11943 17865\n25634 38366\n4412 6562\n72405 100000\n70113 100000\n40779 61116\n67856 100000\n32018 47912\n22919 34316\n96352 100000\n25723 38500\n10316 15391\n37908 56775\n4334 6445\n33047 49434\n65015 97493\n68296 100000\n92078 100000\n245 363\n98614 100000\n73781 100000\n12771 19100\n49180 73717\n22940 34348\n31770 47539\n880 1320\n17435 26060\n63318 94966\n22828 34173\n46282 69342\n67052 100000\n34941 52272\n61414 92117\n88341 100000\n96365 100000\n61939 92911\n49253 73824\n72016 100000\n61525 92279\n50531 75746\n15835 23673\n35499 53128\n95269 100000\n22196 33210\n57964 86883\n73084 100000\n9004 13428\n29075 43473\n5140 7653\n48565 72784\n25927 38805\n73868 100000\n61172 91734\n75983 100000\n8842 13182\n53685 80482\n94763 100000\n61671 92506\n23304 34890\n88714 100000\n6562 9777\n95552 100000\n54233 81298\n99814 100000\n51917 77823\n85803 100000\n27861 41671\n25836 38671\n74778 100000\n78171 100000\n89536 100000\n71800 100000\n37692 56455\n85685 100000\n93124 100000\n20594 30794\n3100 4620\n25088 37555\n55834 83677\n99665 100000\n95630 100000\n61389 92077\n42145 63155\n13081 19563\n51973 77909\n66851 100000\n27397 40991\n43996 65930\n79721 100000\n99179 100000\n61056 91560\n47025 70479\n3524 5236\n80351 100000\n68063 100000\n57486 86160\n75057 100000\n90575 100000\n40921 61331\n19894 29744\n26901 40261\n11701 17497\n25103 37576\n86988 100000\n74232 100000\n62222 93332\n80086 100000\n65334 97995\n11757 17581\n50065 75056\n7363 10981\n99679 100000\n93057 100000\n96922 100000\n36599 54809\n82754 100000\n19160 28650\n76040 100000\n4660 6930\n81339 100000\n55428 83074\n34848 52129\n27543 41198\n11653 17420\n70479 100000\n12750 19069\n90268 100000\n66346 99516\n62403 93592\n22910 34301\n540 808\n29159 43595\n17318 25877\n65314 97963\n12505 18698\n15339 22917\n88588 100000\n45503 68169\n10296 15362\n3872 5750\n41173 61714\n60647 90950\n15664 23418\n48517 72712\n19948 29824\n29495 44100\n81695 100000\n12508 18701\n32655 48839\n77105 100000\n69715 100000\n97268 100000\n7496 11177\n35417 52991\n3740 5564\n46763 70075\n32094 48024\n75096 100000\n7872 11728\n50213 75266\n2549 3822\n32086 48012\n62242 93365\n73984 100000\n83708 100000\n66367 99547\n257 380\n90937 100000\n5654 8416\n12517 18714\n865 1296\n1335 1997\n70161 100000\n6711 9993\n22892 34274\n20403 30507\n88615 100000\n77404 100000\n42942 64353\n99865 100000\n56707 84995\n43748 65566\n95384 100000\n63238 94847\n28535 42668\n76599 100000\n89936 100000\n45271 67822\n83664 100000\n27892 41715\n3036 4525\n99427 100000\n80456 100000\n76809 100000\n32934 49260\n32505 48629\n72510 100000\n70096 100000\n26001 38917\n67941 100000\n75923 100000\n69955 100000\n84583 100000\n63035 94539\n44212 66254\n67149 100000\n80333 100000\n50592 75828\n30519 45646\n52780 79132\n95184 100000\n61061 91570\n35821 53616\n93551 100000\n66285 99423\n43294 64877\n11225 16757\n93465 100000\n55116 82604\n44950 67330\n38019 56942\n65140 97688\n79024 100000\n6334 9445\n79114 100000\n31754 47517\n66216 99323\n24996 37415\n13809 20643\n90342 100000\n60166 90209\n35721 53458\n44929 67296\n1327 1986\n56459 84622\n11936 17853\n9758 14560\n69752 100000\n56608 84849\n5636 8390\n75849 100000\n27250 40777\n41233 61798\n81261 100000\n4082 6059\n29014 43379\n32030 47930\n38906 58269\n98304 100000\n81789 100000\n96081 100000\n38071 57022\n19197 28703\n94017 100000\n4965 7386\n65328 97985\n68703 100000\n59242 88796\n90116 100000\n42864 64225\n92346 100000\n99979 100000\n503 751\n47711 71504\n51027 76492\n36408 54515\n78817 100000\n3255 4850\n79962 100000\n42634 63881\n48972 73394\n89869 100000\n43432 65093\n70534 100000\n94398 100000\n90331 100000\n31596 47279\n75281 100000\n66143 99210\n74576 100000\n34059 50945\n21643 32377\n46542 69738\n64577 96834\n78882 100000\n1343 2008\n58239 87295\n54743 82054\n2701 4032\n22400 33527\n84083 100000\n45097 67554\n80302 100000\n92227 100000\n51008 76465\n13479 20156\n98477 100000\n68239 100000\n21873 32729\n86933 100000\n1338 2002\n56299 84382\n41917 62813\n63365 95032\n88260 100000\n77462 100000\n64697 97016\n76804 100000\n70235 100000\n52079 78062\n23781 35586\n78670 100000\n61496 92234\n93941 100000\n83790 100000\n94537 100000\n49937 74863\n9779 14590\n96939 100000\n74558 100000\n5964 8883\n27229 40746\n41466 62144\n20353 30428\n11101 16566\n6159 9188\n15283 22832\n40083 60044\n9024 13461\n72505 100000\n63130 94683\n94433 100000\n21580 32280\n62243 93366\n95488 100000\n72532 100000\n92998 100000\n124 180\n96098 100000\n56547 84762\n79660 100000\n85779 100000\n56650 84909\n63 95\n56727 85030\n1107 1658\n23711 35485\n81473 100000\n91198 100000\n39287 58849\n90901 100000\n99516 100000\n12937 19345\n5267 7845\n16520 24692\n13574 20300\n77091 100000\n71959 100000\n43788 65621\n46002 68921\n85931 100000\n34815 52081\n52553 78775\n43228 64768\n5718 8510\n60404 90574\n80687 100000\n3634 5402\n46968 70395\n81118 100000\n47962 71892\n19094 28551\n50416 75576\n61224 91814\n61728 92593\n54767 82091\n27672 41393\n20746 31027\n86545 100000\n53310 79923\n97833 100000\n80128 100000\n18007 26917\n17554 26238\n38610 57834\n81741 100000\n28691 42899\n33607 50267\n52960 79412\n79673 100000\n58612 87857\n46030 68967\n47952 71877\n13784 20606\n4492 6682\n95180 100000\n42357 63468\n72570 100000\n61895 92844\n94460 100000\n43865 65739\n6167 9201\n78407 100000\n10927 16304\n41605 62345\n70350 100000\n14211 21232\n84491 100000\n54769 82093\n65 97\n97869 100000\n26462 39616\n20439 30560\n48595 72825\n83751 100000\n33811 50575\n5489 8179\n58379 87509\n67036 100000\n81084 100000\n74758 100000\n20970 31356\n77827 100000\n94599 100000\n21878 32737\n62672 93992\n89924 100000\n38301 57363\n13429 20082\n45216 67740\n16573 24767\n16844 25164\n60508 90734\n8152 12134\n29420 43988\n8966 13373\n38744 58038\n49063 73536\n41849 62711\n54995 82431\n54149 81173\n26504 39675\n53276 79868\n39791 59607\n66676 100000\n90479 100000\n40121 60102\n92079 100000\n49990 74945\n68133 100000\n37331 55916\n33349 49881\n68169 100000\n46394 69516\n45457 68099\n43661 65431\n86252 100000\n57385 86001\n42902 64284\n42525 63721\n67435 100000\n30462 45561\n55843 83693\n7342 10948\n85424 100000\n14002 20928\n65514 98270\n97877 100000\n79467 100000\n37961 56850\n76820 100000\n70700 100000\n63841 95741\n75508 100000\n51483 77171\n12292 18395\n61478 92209\n3976 5906\n73663 100000\n41909 62801\n48844 73198\n53724 80541\n22946 34357\n68544 100000\n56165 84179\n74289 100000\n87023 100000\n7065 10530\n79246 100000\n41734 62533\n20648 30880\n28443 42542\n92021 100000\n43931 65839\n98269 100000\n88522 100000\n6761 10063\n40015 59944\n73031 100000\n68876 100000\n14406 21520\n60855 91260\n19544 29227\n67777 100000\n56847 85209\n91456 100000\n57785 86611\n46567 69776\n72515 100000\n68026 100000\n20742 31020\n53911 80816\n64075 96091\n91742 100000\n68818 100000\n79963 100000\n53927 80842\n94005 100000\n39383 59002\n58744 88054\n71309 100000\n57708 86501\n31440 47046\n57445 86096\n99896 100000\n56262 84321\n26512 39684\n18026 26944\n48340 72447\n73792 100000\n37976 56871\n31414 47002\n97937 100000\n34094 51001\n58277 87354\n34595 51760\n31749 47509\n3955 5876\n37086 55542\n99815 100000\n77796 100000\n82164 100000\n11036 16470\n96010 100000\n52458 78634\n72153 100000\n19586 29296\n56637 84891\n18690 27945\n8833 13168\n21301 31860\n24179 36189\n96023 100000\n49834 74709\n93366 100000\n38061 57005\n53173 79713\n87482 100000\n32644 48823\n30470 45571\n67034 100000\n18164 27152\n57348 85947\n55386 83009\n97002 100000\n47038 70498\n33335 49859\n32093 48023\n26693 39961\n25759 38553\n49249 73818\n44002 65940\n22765 34072\n62186 93277\n88082 100000\n72846 100000\n10852 16189\n94569 100000\n40620 60865\n29633 44317\n80799 100000\n74949 100000\n58185 87216\n78705 100000\n19929 29797\n19066 28508\n41086 61580\n11227 16761\n27125 40597\n69521 100000\n36346 54425\n12647 18911\n86562 100000\n49677 74472\n99441 100000\n96332 100000\n83147 100000\n81187 100000\n60130 90158\n18248 27277\n10830 16154\n73047 100000\n36151 54127\n78099 100000\n22331 33422\n49194 73740\n97848 100000\n58547 87759\n76247 100000\n55244 82798\n52554 78776\n90703 100000\n95467 100000\n64427 96614\n70815 100000\n89471 100000\n20968 31353\n44474 66622\n886 1328\n82984 100000\n38645 57884\n36575 54774\n80124 100000\n24890 37257\n46067 69021\n36950 55334\n90625 100000\n98756 100000\n66244 99363\n63126 94679\n90780 100000\n17779 26575\n43861 65734\n60079 90079\n46966 70392\n98581 100000\n59757 89585\n50803 76155\n78912 100000\n5420 8075\n41033 61502\n15514 23185\n99472 100000\n35488 53109\n66542 99811\n45419 68044\n99556 100000\n96661 100000\n80805 100000\n26681 39942\n43666 65440\n80118 100000\n62456 93670\n5961 8879\n55289 82867\n33943 50779\n96075 100000\n43352 64963\n20077 30008\n55241 82795\n32926 49248\n72209 100000\n15269 22813\n74263 100000\n56402 84536\n68800 100000\n81893 100000\n86733 100000\n92919 100000\n99907 100000\n13821 20660\n99357 100000\n62881 94305\n70654 100000\n54476 81659\n31178 46638\n9343 13930\n90654 100000\n20379 30467\n94746 100000\n43842 65706\n46458 69617\n63842 95742\n95165 100000\n21121 31584\n4252 6325\n34995 52357\n73312 100000\n3237 4822\n43295 64879\n3061 4563\n86728 100000\n9123 13604\n42172 63195\n50146 75171\n47337 70950\n63602 95374\n70989 100000\n19254 28795\n758 1134\n14926 22306\n28390 42463\n58251 87316\n29530 44154\n78409 100000\n37292 55852\n63019 94513\n47449 71118\n23192 34712\n32013 47903\n62320 93475\n27073 40512\n22578 33792\n29452 44035\n97389 100000\n71775 100000\n73972 100000\n46400 69525\n88173 100000\n84148 100000\n85813 100000\n31708 47448\n21760 32546\n2931 4377\n75951 100000\n67328 100000\n15901 23773\n32489 48607\n93070 100000\n73484 100000\n6593 9821\n27563 41227\n97368 100000\n73483 100000\n90988 100000\n4630 6882\n22381 33501\n21896 32764\n54152 81178\n65608 98410\n94317 100000\n89094 100000\n36709 54976\n50644 75901\n36348 54428\n66042 99060\n56718 85015\n88514 100000\n28799 43065\n77930 100000\n91210 100000\n1933 2891\n52802 79165\n23734 35517\n5351 7970\n41644 62400\n31594 47275\n12808 19158\n16018 23949\n71671 100000\n31796 47579\n94926 100000\n34413 51496\n96025 100000\n88604 100000\n60611 90893\n70492 100000\n70674 100000\n564 846\n20574 30762\n4480 6664\n82078 100000\n69819 100000\n96807 100000\n54099 81096\n33354 49889\n48730 73023\n41253 61825\n97591 100000\n27431 41039\n90470 100000\n40642 60898\n44392 66503\n82759 100000\n5806 8645\n65816 98716\n77443 100000\n39600 59327\n65733 98596\n66339 99505\n44323 66408\n51467 77145\n99999 100000\n46644 69895\n42921 64319\n22514 33695\n20359 30436\n73393 100000\n43012 64456\n75215 100000\n93634 100000\n4143 6160\n25452 38096\n96514 100000\n2156 3228\n72277 100000\n57494 86173\n64554 96802\n96139 100000\n55900 83781\n16982 25377\n65343 98009\n88035 100000\n44097 66083\n23819 35649\n70590 100000\n24861 37213\n52377 78506\n81194 100000\n64097 96121\n15134 22611\n77333 100000\n22116 33093\n19991 29886\n84011 100000\n33872 50667\n84439 100000\n90169 100000\n46683 69955\n70340 100000\n12463 18636\n80824 100000\n50103 75110\n53843 80719\n59994 89943\n91112 100000\n23771 35571\n85205 100000\n68249 100000\n57725 86528\n7962 11853\n25352 37947\n29531 44156\n34092 50997\n8030 11952\n61999 92998\n9178 13686\n51343 76968\n21031 31446\n58362 87483\n12186 18230\n64904 97328\n67651 100000\n89292 100000\n77674 100000\n50025 74996\n85553 100000\n53785 80631\n50797 76147\n11748 17567\n14857 22201\n13638 20388\n93644 100000\n19687 29439\n25727 38506\n84216 100000\n67803 100000\n63266 94888\n97387 100000\n97240 100000\n37249 55785\n53405 80058\n90262 100000\n26819 40144\n65593 98388\n38220 57239\n570 853\n21988 32898\n2512 3763\n23255 34811\n8784 13089\n98944 100000\n45189 67694\n91506 100000\n19497 29156\n91601 100000\n78985 100000\n39388 59009\n39159 58655\n22906 34295\n95540 100000\n77515 100000\n87488 100000\n49432 74102\n52362 78484\n72388 100000\n63800 95677\n64339 96477\n53140 79666\n88909 100000\n6073 9051\n7650 11409\n501 747\n90363 100000\n88187 100000\n61663 92492\n33055 49447\n93298 100000\n63531 95275\n27747 41502\n16449 24583\n54151 81176\n53181 79724\n1063 1592\n66550 99822\n85925 100000\n14053 20999\n72089 100000\n79437 100000\n48759 73067\n32664 48852\n35110 52528\n21853 32700\n13872 20735\n31144 46587\n5465 8145\n64380 96543\n2786 4153\n67339 100000\n62332 93492\n60934 91378\n62609 93900\n39146 58635\n68192 100000\n49181 73719\n70055 100000\n16455 24591\n53804 80663\n86752 100000\n16452 24588\n81632 100000\n22849 34207\n57100 85583\n12156 18189\n46485 69659\n17000 25401\n88885 100000\n6733 10025\n74439 100000\n33956 50796\n23993 35908\n78978 100000\n14017 20950\n89081 100000\n98894 100000\n39399 59025\n21201 31708\n94039 100000\n69775 100000\n73776 100000\n26799 40114\n97415 100000\n79216 100000\n50290 75385\n56088 84057\n53430 80093\n27351 40920\n45399 68012\n62808 94198\n34048 50930\n59664 89443\n71582 100000\n5179 7717\n75520 100000\n71356 100000\n16172 24176\n7578 11298\n89638 100000\n34267 51268\n90300 100000\n14527 21701\n50530 75745\n81623 100000\n44640 66863\n80272 100000\n53890 80788\n55897 83776\n87152 100000\n92633 100000\n49 73\n66990 100000\n87885 100000\n74033 100000\n71244 100000\n6908 10300\n20905 31261\n10855 16194\n71604 100000\n39742 59532\n51402 77058\n34979 52333\n65772 98653\n38012 56929\n37202 55714\n41225 61788\n26710 39983\n10804 16116\n50845 76217\n10285 15344\n81945 100000\n97682 100000\n11664 17437\n71434 100000\n97824 100000\n19296 28855\n70396 100000\n20447 30571\n72327 100000\n52783 79138\n34183 51135\n80021 100000\n38599 57818\n85661 100000\n64858 97260\n13359 19974\n30329 45359\n35844 53652\n79647 100000\n6309 9408\n34558 51702\n36953 55339\n52754 79088\n96813 100000\n34612 51783\n73527 100000\n29386 43935\n65429 98143\n38685 57943\n87372 100000\n74058 100000\n75144 100000\n3793 5637\n15952 23856\n66711 100000\n25194 37709\n15312 22876\n52217 78273\n36161 54142\n35635 53330\n75831 100000\n31874 47696\n68413 100000\n59780 89624\n51144 76665\n84959 100000\n78401 100000\n16446 24577\n98684 100000\n31018 46404\n33333 49856\n99850 100000\n40985 61429\n68304 100000\n398 588\n55067 82534\n81551 100000\n77411 100000\n83162 100000\n74152 100000\n26299 39370\n76869 100000\n54515 81720\n10465 15626\n79215 100000\n189 277\n7011 10454\n81957 100000\n95725 100000\n71001 100000\n34925 52249\n90045 100000\n77237 100000\n59670 89452\n55363 82976\n65234 97831\n31394 46972\n801 1199\n72063 100000\n67205 100000\n55989 83913\n77207 100000\n52387 78522\n78900 100000\n4276 6358\n8745 13028\n31296 46823\n83236 100000\n44360 66461\n72495 100000\n70123 100000\n21302 31861\n95903 100000\n59623 89382\n26896 40253\n60446 90641\n95607 100000\n7913 11786\n74611 100000\n67828 100000\n1490 2223\n56097 84073\n14477 21626\n22313 33392\n6743 10038\n97189 100000\n83113 100000\n37916 56789\n15329 22901\n71195 100000\n52241 78308\n4918 7315\n89093 100000\n12846 19212\n70295 100000\n55403 83034\n54309 81410\n86816 100000\n91579 100000\n411 610\n17768 26559\n55215 82754\n48483 72662\n85363 100000\n79168 100000\n46279 69338\n78079 100000\n22441 33588\n72066 100000\n94175 100000\n95696 100000\n32223 48219\n94749 100000\n91384 100000\n73506 100000\n51480 77167\n50545 75767\n73498 100000\n4343 6458\n62670 93990\n34829 52102\n85515 100000\n49820 74685\n91728 100000\n80219 100000\n15736 23521\n90669 100000\n60202 90268\n25788 38601\n89603 100000\n42097 63086\n88452 100000\n56589 84818\n58792 88131\n86395 100000\n54644 81903\n40014 59942\n23025 34472\n26770 40073\n14542 21723\n63251 94865\n98259 100000\n28321 42358\n30137 45078\n1221 1827\n85511 100000\n52183 78222\n4573 6798\n96005 100000\n4629 6880\n36158 54138\n99352 100000\n44176 66205\n46141 69134\n28856 43145\n21852 32698\n9019 13452\n12829 19187\n66163 99242\n3135 4669\n45785 68596\n5833 8686\n16423 24541\n77484 100000\n97288 100000\n84430 100000\n718 1072\n81275 100000\n5600 8337\n18197 27199\n43048 64513\n2518 3771\n29132 43553\n43674 65454\n76606 100000\n98489 100000\n5746 8552\n60401 90571\n79692 100000\n18127 27097\n98898 100000\n19593 29305\n81237 100000\n6446 9606\n95741 100000\n34056 50940\n60725 91069\n72281 100000\n28541 42675\n1644 2445\n69885 100000\n74548 100000\n35252 52741\n3125 4655\n23394 35016\n3953 5872\n76415 100000\n98364 100000\n16870 25205\n74422 100000\n50764 76094\n518 773\n91686 100000\n15362 22949\n41799 62630\n73867 100000\n49571 74312\n46584 69803\n28595 42752\n53316 79931\n75877 100000\n32112 48054\n95241 100000\n12685 18970\n62246 93369\n41190 61739\n37233 55764\n13339 19947\n93157 100000\n62183 93274\n19833 29661\n56858 85227\n36734 55015\n87141 100000\n96750 100000\n76613 100000\n42405 63543\n59842 89716\n78581 100000\n21439 32065\n30346 45382\n46855 70220\n38897 58259\n56303 84387\n61678 92518\n55933 83833\n47117 70619\n59226 88772\n2048 3069\n28092 42017\n28 41\n9398 14015\n9583 14300\n24061 36009\n39225 58755\n55590 83312\n73864 100000\n6251 9323\n36027 53928\n41476 62158\n97549 100000\n48786 73113\n73416 100000\n26930 40302\n91087 100000\n4682 6961\n99806 100000\n67581 100000\n17353 25935\n5168 7696\n30446 45536\n67533 100000\n84099 100000\n39202 58722\n23011 34452\n10220 15248\n16024 23957\n7274 10844\n96557 100000\n29733 44468\n90449 100000\n43538 65252\n42170 63193\n12230 18296\n85006 100000\n87100 100000\n39981 59892\n93449 100000\n5500 8196\n52286 78372\n70979 100000\n16491 24649\n12040 18018\n32998 49356\n8728 13006\n93763 100000\n66730 100000\n89641 100000\n56069 84026\n27687 41416\n32731 48952\n25682 38439\n21720 32492\n46310 69386\n93395 100000\n35808 53598\n73397 100000\n86309 100000\n83055 100000\n88264 100000\n79699 100000\n64063 96072\n39962 59863\n95676 100000\n79116 100000\n94226 100000\n33540 50170\n16361 24453\n55379 83000\n76228 100000\n43054 64521\n13599 20332\n10598 15816\n23840 35679\n64120 96153\n29521 44141\n78364 100000\n64304 96426\n39005 58417\n67797 100000\n35925 53777\n45937 68818\n11512 17202\n75629 100000\n13801 20631\n27180 40675\n36910 55276\n23583 35298\n46795 70125\n15374 22969\n22983 34414\n85577 100000\n19266 28813\n54925 82323\n64884 97296\n68665 100000\n79675 100000\n26868 40210\n1824 2725\n68251 100000\n25299 37867\n96738 100000\n32338 48389\n1270 1900\n76861 100000\n84195 100000\n47118 70621\n10156 15152\n17715 26482\n13782 20602\n85979 100000\n27325 40885\n42204 63243\n26763 40062\n80921 100000\n70977 100000\n97771 100000\n5779 8603\n18124 27093\n90808 100000\n49385 74027\n14345 21430\n54667 81936\n7365 10984\n14773 22068\n2126 3184\n12659 18930\n6019 8967\n56912 85308\n19079 28526\n67079 100000\n46429 69575\n84338 100000\n6611 9845\n45221 67747\n83736 100000\n30460 45558\n45532 68210\n96399 100000\n74533 100000\n83096 100000\n82307 100000\n18549 27729\n60655 90962\n75961 100000\n9897 14774\n5872 8746\n44437 66572\n31199 46671\n6168 9202\n27131 40606\n42135 63140\n7036 10489\n16781 25073\n38263 57304\n83043 100000\n95287 100000\n51261 76843\n19285 28839\n67340 100000\n1931 2887\n59720 89529\n92650 100000\n15146 22627\n34149 51085\n52038 78000\n47017 70468\n95567 100000\n8974 13383\n68014 100000\n63958 95921\n84952 100000\n162 240\n18637 27858\n28175 42139\n44490 66646\n70810 100000\n56753 85067\n357 522\n33940 50775\n99209 100000\n30419 45497\n6086 9071\n77034 100000\n54447 81614\n5576 8302\n3376 5018\n26803 40122\n78871 100000\n11391 17002\n55787 83601\n46293 69360\n81254 100000\n86479 100000\n94676 100000\n40716 61018\n32305 48344\n43435 65097\n80943 100000\n9272 13822\n67973 100000\n51210 76768\n1454 2176\n3078 4587\n68929 100000\n1031 1543\n54463 81640\n59875 89762\n67653 100000\n74988 100000\n58146 87157\n34943 52275\n54450 81619\n20920 31281\n37026 55449\n81972 100000\n5430 8092\n69494 100000\n47260 70835\n18153 27135\n95094 100000\n8003 11914\n23385 35002\n62185 93276\n63080 94609\n92303 100000\n64387 96553\n61133 91676\n22563 33770\n36018 53915\n63975 95945\n99528 100000\n90900 100000\n22703 33978\n91783 100000\n29380 43926\n76977 100000\n31011 46395\n85949 100000\n65503 98255\n94131 100000\n87750 100000\n24044 35984\n65561 98342\n47383 71021\n53496 80193\n44686 66938\n64869 97275\n8447 12575\n66635 99949\n34533 51669\n96850 100000\n18539 27714\n18137 27111\n3492 5188\n33679 50378\n81958 100000\n984 1471\n98525 100000\n75959 100000\n62382 93561\n46413 69545\n96786 100000\n96298 100000\n79697 100000\n7651 11410\n91126 100000\n89876 100000\n75995 100000\n15578 23285\n26167 39171\n48442 72598\n86033 100000\n61198 91775\n31263 46772\n21603 32312\n37472 56130\n59961 89894\n66230 99344\n93758 100000\n82612 100000\n3860 5732\n38787 58098\n7736 11535\n11696 17488\n92174 100000\n99628 100000\n81058 100000\n24119 36094\n60087 90090\n69245 100000\n34614 51787\n47606 71353\n84744 100000\n34761 51999\n57454 86110\n71410 100000\n16004 23930\n73467 100000\n30590 45756\n17714 26481\n44279 66341\n16843 25163\n61284 91914\n34483 51593\n71906 100000\n95316 100000\n61296 91933\n64106 96135\n16112 24090\n23093 34566\n81597 100000\n6631 9876\n95378 100000\n7849 11694\n74029 100000\n29240 43716\n22391 33516\n19441 29071\n92981 100000\n48678 72950\n96554 100000\n99944 100000\n80341 100000\n95576 100000\n30932 46285\n80465 100000\n41754 62565\n13943 20838\n90410 100000\n68288 100000\n47365 70994\n83887 100000\n55728 83511\n33707 50419\n50790 76136\n93223 100000\n74507 100000\n8233 12255\n9056 13506\n528 787\n251 372\n42825 64164\n50554 75779\n52849 79237\n22104 33072\n3584 5327\n10530 15715\n76965 100000\n57129 85621\n36333 54404\n23166 34672\n13862 20718\n92796 100000\n69396 100000\n87605 100000\n34723 51946\n9527 14211\n36397 54502\n60585 90852\n65037 97528\n71440 100000\n39693 59459\n26736 40023\n6756 10056\n19742 29522\n66610 99914\n62006 93009\n28754 42996\n7102 10587\n71345 100000\n66898 100000\n86509 100000\n17218 25723\n79299 100000\n68731 100000\n75829 100000\n70130 100000\n43166 64677\n63458 95170\n38866 58215\n33725 50448\n26077 39027\n91268 100000\n86037 100000\n69049 100000\n70080 100000\n9164 13666\n51559 77291\n49898 74804\n80973 100000\n28430 42523\n37344 55933\n95880 100000\n1054 1577\n14157 21154\n11474 17138\n76281 100000\n2819 4203\n44079 66055\n69718 100000\n57975 86897\n2280 3411\n18151 27132\n47674 71450\n7279 10853\n75039 100000\n34572 51723\n53840 80715\n36799 55114\n23107 34588\n52843 79228\n28874 43174\n35610 53295\n52255 78328\n55348 82953\n86453 100000\n96223 100000\n94311 100000\n83296 100000\n12322 18432\n81437 100000\n49824 74692\n78569 100000\n56564 84786\n27974 41836\n14047 20992\n63277 94906\n7589 11315\n57500 86180\n73410 100000\n22047 32987\n23638 35380\n13408 20047\n77730 100000\n1070 1603\n9109 13584\n34103 51016\n61818 92722\n32192 48174\n43917 65822\n25344 37934\n50043 75024\n37046 55480\n74111 100000\n85667 100000\n97027 100000\n46313 69390\n53987 80930\n985 1472\n41322 61921\n90058 100000\n77214 100000\n18529 27698\n28263 42274\n1823 2723\n51413 77073\n84660 100000\n84833 100000\n36358 54443\n85451 100000\n69012 100000\n60956 91414\n68653 100000\n15839 23680\n77030 100000\n66728 100000\n69401 100000\n14666 21911\n65257 97868\n46871 70244\n30684 45901\n994 1487\n23199 34723\n96018 100000\n31820 47620\n96668 100000\n30471 45573\n63589 95357\n26252 39298\n89982 100000\n53536 80250\n10526 15709\n37689 56451\n91780 100000\n66763 100000\n85882 100000\n52309 78408\n51986 77927\n46963 70387\n46856 70222\n67660 100000\n80947 100000\n26058 38996\n73405 100000\n55443 83098\n13055 19523\n88337 100000\n71158 100000\n90814 100000\n49491 74190\n66453 99675\n3153 4697\n42773 64086\n57866 86733\n69359 100000\n21608 32319\n73271 100000\n85224 100000\n98675 100000\n25458 38106\n30934 46287\n90508 100000\n23 36\n66665 99995\n75119 100000\n38679 57934\n92393 100000\n36958 55345\n41382 62012\n2800 4175\n16618 24833\n23652 35400\n43644 65407\n12553 18769\n21701 32463\n72031 100000\n86849 100000\n42614 63848\n86978 100000\n64445 96643\n44158 66178\n89926 100000\n73268 100000\n25295 37859\n40531 60725\n94073 100000\n29255 43738\n21821 32644\n25862 38711\n59803 89659\n20721 30989\n50278 75369\n45899 68762\n44694 66950\n94615 100000\n35249 52737\n52444 78613\n87845 100000\n72408 100000\n67439 100000\n46427 69572\n84972 100000\n57761 86576\n3411 5067\n15681 23442\n63522 95261\n31995 47880\n9639 14378\n73319 100000\n67629 100000\n81092 100000\n21827 32654\n29478 44073\n69048 100000\n25526 38203\n90798 100000\n86367 100000\n22124 33106\n85018 100000\n7512 11202\n14057 21005\n6678 9942\n73276 100000\n25328 37910\n1604 2389\n86960 100000\n59020 88466\n92790 100000\n3795 5639\n65849 98766\n28402 42482\n84724 100000\n58206 87247\n61032 91525\n58656 87927\n27635 41340\n12448 18612\n33034 49413\n66421 99630\n34400 51477\n29940 44782\n96112 100000\n52919 79346\n44362 66464\n1795 2684\n63220 94819\n93243 100000\n50816 76173\n15636 23370\n78578 100000\n98965 100000\n44561 66751\n26783 40089\n59377 89000\n78962 100000\n92411 100000\n54681 81958\n98672 100000\n53790 80640\n9718 14501\n89979 100000\n33006 49370\n99393 100000\n62239 93360\n9312 13884\n59806 89663\n2933 4381\n70734 100000\n7203 10740\n38289 57346\n79336 100000\n17919 26790\n94625 100000\n69844 100000\n49281 73865\n33863 50653\n55888 83759\n97794 100000\n74971 100000\n86636 100000\n42817 64153\n29886 44700\n62725 94071\n48603 72840\n99025 100000\n46972 70401\n8532 12714\n86417 100000\n6338 9451\n35893 53728\n22105 33073\n95252 100000\n90174 100000\n99091 100000\n19917 29778\n57362 85969\n31071 46483\n14766 22059\n8635 12865\n73491 100000\n44543 66725\n74091 100000\n66277 99410\n52733 79056\n5455 8128\n27022 40437\n99531 100000\n31887 47714\n79901 100000\n60601 90875\n26731 40015\n42463 63631\n89329 100000\n13865 20723\n23080 34549\n36398 54503\n56983 85406\n61852 92776\n1120 1677\n12891 19277\n80420 100000\n27442 41052\n97302 100000\n74826 100000\n32358 48417\n94286 100000\n13362 19978\n92478 100000\n21581 32282\n98153 100000\n65430 98145\n35378 52932\n32274 48296\n95685 100000\n74708 100000\n64377 96539\n39215 58741\n36388 54491\n90719 100000\n65383 98070\n55197 82727\n84458 100000\n29949 44797\n20705 30965\n78371 100000\n40937 61356\n93656 100000\n5328 7932\n40781 61120\n37612 56337\n84159 100000\n92651 100000\n29448 44030\n12 17\n65468 98202\n50456 75632\n30923 46272\n99484 100000\n24567 36782\n59427 89073\n60734 91082\n85488 100000\n75002 100000\n99149 100000\n78969 100000\n58515 87717\n21014 31423\n3646 5421\n98683 100000\n54316 81418\n79509 100000\n10105 15084\n82073 100000\n29618 44294\n46457 69616\n68180 100000\n12042 18021\n93611 100000\n95625 100000\n95497 100000\n46006 68927\n51499 77194\n17766 26555\n85638 100000\n5514 8215\n41097 61596\n15831 23668\n85170 100000\n2205 3299\n43132 64633\n93632 100000\n60169 90214\n3448 5120\n8771 13068\n91481 100000\n57771 86591\n13747 20549\n57591 86316\n81871 100000\n29370 43911\n89 131\n43418 65072\n99884 100000\n36414 54525\n19781 29582\n70357 100000\n37324 55904\n77611 100000\n38700 57968\n46173 69181\n37891 56747\n81406 100000\n18685 27936\n32793 49045\n47447 71115\n88389 100000\n85966 100000\n19407 29022\n71728 100000\n59903 89801\n69470 100000\n14976 22380\n31427 47025\n15261 22801\n99050 100000\n78508 100000\n85111 100000\n46044 68986\n41787 62613\n156 231\n32781 49028\n56658 84922\n67085 100000\n40625 60873\n23357 34963\n8099 12054\n5121 7626\n58734 88041\n5352 7972\n63261 94880\n74391 100000\n69799 100000\n86180 100000\n75553 100000\n13464 20133\n79150 100000\n93044 100000\n67848 100000\n69825 100000\n77347 100000\n92093 100000\n33650 50332\n73941 100000\n98891 100000\n68522 100000\n1177 1757\n10280 15335\n30392 45456\n11318 16895\n78165 100000\n81904 100000\n26413 39542\n78530 100000\n65244 97847\n10894 16257\n70155 100000\n56840 85199\n17525 26193\n55806 83631\n97731 100000\n27850 41654\n54558 81784\n82016 100000\n57592 86317\n11826 17685\n25497 38164\n56106 84087\n36406 54513\n92550 100000\n32271 48290\n52647 78920\n86271 100000\n24380 36497\n93790 100000\n1687 2515\n91025 100000\n16924 25287\n92185 100000\n76508 100000\n59978 89918\n18488 27635\n14333 21413\n81281 100000\n45403 68018\n62875 94297\n85760 100000\n67627 100000\n77502 100000\n72991 100000\n20984 31376\n26171 39175\n6111 9107\n5646 8404\n17460 26099\n74238 100000\n80994 100000\n13020 19468\n56371 84489\n21734 32511\n70856 100000\n89303 100000\n94704 100000\n36772 55072\n49625 74394\n24732 37024\n96963 100000\n30396 45461\n87106 100000\n34428 51517\n10065 15025\n80017 100000\n64835 97227\n24050 35995\n35329 52852\n16740 25012\n56817 85162\n8021 11939\n45613 68332\n97118 100000\n89741 100000\n69830 100000\n74579 100000\n4683 6962\n1258 1881\n10690 15945\n66350 99523\n55198 82728\n56323 84416\n87810 100000\n6994 10429\n60880 91296\n18115 27080\n61951 92926\n61885 92830\n78606 100000\n134 195\n67625 100000\n582 872\n38348 57439\n51259 76841\n30487 45598\n93435 100000\n69594 100000\n77024 100000\n20152 30116\n70853 100000\n26664 39920\n51455 77129\n2957 4414\n80521 100000\n2402 3597\n50641 75895\n30585 45747\n90172 100000\n87666 100000\n53874 80763\n22333 33425\n74300 100000\n8364 12451\n7731 11530\n62610 93902\n53308 79920\n64281 96394\n64234 96321\n49888 74789\n15722 23501\n98072 100000\n69023 100000\n16802 25103\n55562 83270\n59090 88569\n27108 40569\n20078 30009\n65515 98271\n58241 87298\n94111 100000\n49891 74794\n8913 13293\n21572 32268\n74413 100000\n54219 81277\n85049 100000\n20787 31089\n93947 100000\n3933 5842\n70705 100000\n43231 64774\n43564 65290\n87218 100000\n58420 87571\n61875 92813\n38894 58256\n88563 100000\n56916 85314\n34416 51501\n24335 36425\n682 1022\n95108 100000\n84233 100000\n98985 100000\n29714 44442\n82941 100000\n64725 97058\n33205 49668\n65010 97488\n99767 100000\n64971 97426\n8201 12205\n96027 100000\n84421 100000\n59453 89115\n82785 100000\n63561 95318\n25058 37509\n63192 94775\n74954 100000\n80728 100000\n26931 40303\n82295 100000\n1128 1689\n7384 11013\n84738 100000\n70182 100000\n32262 48278\n17888 26750\n93931 100000\n65821 98723\n7579 11299\n91541 100000\n88829 100000\n76956 100000\n13002 19440\n39666 59418\n69210 100000\n36452 54582\n54496 81688\n2221 3322\n43908 65808\n85737 100000\n92398 100000\n74807 100000\n44169 66195\n98295 100000\n9394 14010\n43539 65253\n48261 72333\n24896 37265\n26 39\n18160 27146\n89693 100000\n56709 84999\n60794 91174\n8463 12601\n56420 84564\n96184 100000\n23468 35125\n37000 55408\n36282 54330\n79631 100000\n206 306\n99392 100000\n55793 83611\n16787 25081\n35805 53592\n7537 11239\n17317 25875\n33008 49372\n78880 100000\n21319 31887\n82898 100000\n12690 18977\n58647 87911\n88745 100000\n9788 14605\n75389 100000\n27972 41833\n23632 35370\n72971 100000\n99189 100000\n8242 12269\n45840 68674\n25612 38333\n77266 100000\n51623 77380\n81537 100000\n80637 100000\n42160 63178\n77055 100000\n75302 100000\n56601 84838\n28907 43217\n34249 51240\n7906 11775\n1727 2575\n71770 100000\n54532 81748\n55993 83919\n79839 100000\n95448 100000\n72706 100000\n48619 72863\n45284 67843\n70719 100000\n83109 100000\n70749 100000\n62938 94392\n19654 29393\n1517 2262\n67012 100000\n85822 100000\n1483 2214\n93023 100000\n31864 47681\n40164 60164\n47596 71338\n29513 44128\n43079 64558\n95885 100000\n61447 92164\n45934 68812\n30251 45248\n89823 100000\n59140 88640\n46717 70009\n22760 34064\n55012 82453\n45317 67892\n1650 2454\n61245 91852\n3567 5302\n31395 46974\n11375 16980\n84285 100000\n33992 50848\n68915 100000\n70051 100000\n12971 19396\n71459 100000\n78648 100000\n51771 77605\n20711 30975\n36468 54606\n49171 73703\n50629 75879\n94362 100000\n68595 100000\n88499 100000\n22033 32965\n48390 72522\n76736 100000\n71571 100000\n94370 100000\n32607 48770\n69883 100000\n4193 6236\n88512 100000\n92 136\n88736 100000\n83666 100000\n60731 91076\n3209 4783\n7657 11417\n61463 92188\n42787 64106\n71039 100000\n69929 100000\n9494 14161\n19255 28797\n37894 56753\n54112 81117\n83368 100000\n69092 100000\n75780 100000\n77557 100000\n89591 100000\n91550 100000\n22450 33600\n90365 100000\n74982 100000\n64701 97022\n39042 58472\n86632 100000\n67018 100000\n76458 100000\n15544 23236\n44264 66323\n57705 86498\n20104 30048\n58738 88047\n26348 39445\n73456 100000\n58214 87259\n71331 100000\n84324 100000\n73729 100000\n90313 100000\n20513 30671\n57247 85797\n77242 100000\n30309 45332\n62024 93036\n99376 100000\n74254 100000\n89377 100000\n18338 27417\n78056 100000\n40964 61398\n1493 2229\n93641 100000\n34661 51851\n64856 97256\n92118 100000\n2055 3078\n62732 94082\n82830 100000\n67850 100000\n48301 72390\n61029 91520\n78011 100000\n7074 10544\n64 96\n55804 83628\n14212 21234\n44872 67206\n61715 92574\n73375 100000\n72668 100000\n22990 34422\n77503 100000\n34491 51608\n54920 82315\n19785 29588\n4646 6909\n50970 76408\n72322 100000\n46113 69087\n41242 61810\n15842 23685\n37736 56520\n62433 93637\n57576 86292\n13777 20596\n27394 40986\n9496 14165\n73509 100000\n76929 100000\n95231 100000\n44305 66382\n88099 100000\n14634 21865\n8053 11982\n67437 100000\n9294 13857\n9558 14263\n85819 100000\n1417 2122\n76336 100000\n23169 34677\n89152 100000\n11405 17023\n96712 100000\n729 1089\n84597 100000\n60241 90329\n66152 99223\n25555 38244\n45562 68254\n93606 100000\n36441 54567\n89797 100000\n46957 70376\n36202 54211\n9457 14107\n5367 7994\n55739 83525\n58821 88179\n16635 24857\n49633 74406\n83312 100000\n69602 100000\n91466 100000\n11827 17686\n44637 66859\n78126 100000\n22600 33826\n28153 42109\n53851 80729\n83952 100000\n90782 100000\n50060 75048\n24564 36778\n33159 49605\n20974 31361\n10806 16120\n31823 47623\n95589 100000\n82045 100000\n90424 100000\n81047 100000\n94829 100000\n60812 91197\n46254 69300\n60729 91074\n69364 100000\n72082 100000\n34709 51929\n66161 99239\n73442 100000\n49948 74880\n27279 40815\n57377 85989\n7534 11235\n87003 100000\n16536 24716\n13463 20131\n54081 81069\n64088 96109\n95521 100000\n53554 80279\n37427 56056\n34304 51323\n82213 100000\n47631 71386\n84215 100000\n88500 100000\n97165 100000\n22500 33676\n92777 100000\n63860 95772\n39201 58721\n27155 40638\n13369 19987\n43733 65540\n14329 21408\n25044 37489\n47947 71870\n97220 100000\n34172 51120\n91872 100000\n70352 100000\n3155 4699\n22759 34063\n29557 44198\n93033 100000\n75118 100000\n89270 100000\n87709 100000\n31623 47317\n32292 48326\n34593 51756\n41422 62075\n92733 100000\n37646 56389\n45130 67608\n11720 17525\n48145 72166\n26880 40229\n49365 73996\n52359 78479\n19204 28713\n19938 29810\n70539 100000\n87645 100000\n78433 100000\n84483 100000\n45725 68504\n49189 73732\n58737 88045\n1722 2567\n81549 100000\n46340 69427\n72588 100000\n78500 100000\n80408 100000\n50952 76379\n92523 100000\n78476 100000\n21934 32819\n90167 100000\n78536 100000\n32937 49265\n71652 100000\n91743 100000\n1693 2523\n38717 57992\n48056 72032\n49162 73687\n82976 100000\n78548 100000\n9256 13799\n3920 5820\n53728 80547\n11717 17522\n57677 86452\n18054 26988\n89449 100000\n34981 52336\n53336 79957\n29673 44378\n38529 57716\n49475 74166\n33009 49374\n60746 91102\n89664 100000\n11314 16890\n11533 17233\n20268 30287\n57951 86867\n61657 92482\n5132 7641\n22001 32918\n25477 38133\n11963 17897\n78718 100000\n17942 26822\n8023 11941\n29545 44177\n4380 6514\n44007 65948\n29069 43465\n33190 49648\n55418 83059\n89991 100000\n46663 69925\n25092 37560\n58043 87004\n20203 30189\n64329 96463\n41611 62353\n92297 100000\n42935 64341\n32073 47991\n96532 100000\n81252 100000\n77825 100000\n66133 99196\n43364 64982\n86071 100000\n28756 42999\n96159 100000\n34130 51059\n59416 89059\n4421 6576\n62418 93617\n26382 39498\n65096 97619\n94699 100000\n48352 72465\n56501 84691\n68254 100000\n20593 30792\n80047 100000\n91278 100000\n6501 9689\n27301 40847\n38639 57876\n14700 21961\n56033 83974\n22503 33680\n83665 100000\n17121 25580\n13779 20598\n80277 100000\n81395 100000\n1590 2370\n23360 34967\n67679 100000\n9578 14291\n59032 88483\n19164 28655\n62781 94154\n97421 100000\n218 326\n95017 100000\n47472 71153\n79248 100000\n98236 100000\n79411 100000\n41374 62001\n39271 58824\n33998 50858\n76961 100000\n55503 83185\n59198 88730\n86116 100000\n7741 11542\n59973 89912\n88200 100000\n56683 84959\n29893 44710\n56082 84045\n99993 100000\n32049 47957\n39058 58498\n32394 48469\n95429 100000\n70361 100000\n33256 49745\n47609 71357\n21872 32727\n43113 64604\n72628 100000\n32955 49296\n19332 28910\n70729 100000\n21377 31972\n33011 49377\n77775 100000\n65137 97684\n53507 80210\n53071 79570\n57271 85833\n4593 6830\n59624 89384\n68495 100000\n6518 9715\n93412 100000\n27723 41466\n39114 58584\n76625 100000\n15750 23545\n89856 100000\n63449 95154\n12583 18813\n11288 16851\n99750 100000\n14020 20954\n16273 24328\n90165 100000\n95342 100000\n75324 100000\n78635 100000\n67708 100000\n13650 20403\n70819 100000\n61069 91582\n26973 40369\n94331 100000\n39490 59162\n298 438\n96649 100000\n17502 26159\n45225 67753\n42623 63862\n83528 100000\n39985 59896\n95677 100000\n40945 61369\n86621 100000\n35181 52633\n29383 43929\n63178 94756\n35723 53462\n71687 100000\n43529 65240\n72642 100000\n21385 31984\n53069 79566\n91085 100000\n21267 31810\n71841 100000\n17709 26473\n1219 1825\n21034 31451\n40802 61154\n74121 100000\n6568 9787\n75461 100000\n14359 21448\n65908 98850\n10109 15090\n75943 100000\n31149 46593\n49904 74815\n4787 7116\n71163 100000\n8374 12467\n64928 97365\n79789 100000\n23556 35258\n34420 51508\n31403 46988\n88498 100000\n67235 100000\n60190 90247\n28354 42413\n71777 100000\n87558 100000\n98962 100000\n454 678\n29567 44211\n51962 77891\n20120 30072\n61470 92196\n75344 100000\n53625 80389\n86306 100000\n30731 45975\n47177 70710\n571 854\n57584 86305\n29412 43974\n98147 100000\n10179 15184\n55762 83562\n43311 64904\n81310 100000\n97602 100000\n2924 4365\n94033 100000\n57204 85733\n23264 34827\n2841 4238\n56446 84600\n84367 100000\n91629 100000\n63945 95903\n44937 67308\n94629 100000\n13342 19952\n15424 23047\n26874 40219\n93622 100000\n43224 64761\n14368 21463\n58116 87111\n98454 100000\n73003 100000\n45267 67816\n20168 30140\n82473 100000\n64851 97250\n50890 76284\n15511 23180\n8950 13348\n68988 100000\n24550 36758\n3997 5936\n90747 100000\n72617 100000\n8303 12357\n96320 100000\n99256 100000\n37381 55992\n71376 100000\n25975 38881\n19203 28711\n88984 100000\n39817 59647\n32458 48563\n22624 33863\n30055 44953\n7740 11541\n61683 92525\n36858 55208\n46051 68997\n31324 46867\n86131 100000\n87547 100000\n91078 100000\n7921 11798\n34360 51412\n77112 100000\n96068 100000\n62258 93387\n52682 78977\n38041 56975\n37400 56018\n70160 100000\n57954 86871\n71910 100000\n55823 83659\n45729 68509\n70706 100000\n27293 40835\n13253 19814\n846 1267\n5391 8031\n39924 59804\n86582 100000\n31283 46801\n98961 100000\n15639 23376\n58485 87667\n26408 39536\n18508 27665\n18394 27497\n3048 4542\n94419 100000\n85582 100000\n48586 72812\n23968 35870\n96763 100000\n77906 100000\n40 58\n3483 5174\n5978 8902\n44558 66747\n49207 73759\n10776 16076\n14827 22152\n36571 54766\n11761 17585\n88224 100000\n35545 53202\n6752 10050\n27799 41577\n70094 100000\n45951 68840\n77070 100000\n88127 100000\n53572 80308\n77045 100000\n19087 28539\n83059 100000\n22975 34401\n20585 30781\n85692 100000\n17552 26234\n64073 96087\n61972 92960\n44633 66853\n67433 100000\n510 762\n23094 34568\n52082 78067\n32676 48873\n23353 34958\n50533 75749\n67779 100000\n56360 84474\n59077 88550\n84098 100000\n38267 57311\n77536 100000\n10442 15595\n56401 84535\n86830 100000\n22437 33581\n28432 42526\n83841 100000\n21889 32755\n85997 100000\n62843 94250\n31016 46402\n38304 57367\n38851 58191\n13014 19458\n15436 23070\n14258 21302\n8679 12931\n85576 100000\n72425 100000\n80170 100000\n55128 82620\n97685 100000\n10634 15865\n48451 72613\n19791 29597\n40697 60987\n13997 20921\n84481 100000\n13486 20166\n18959 28344\n57058 85524\n94525 100000\n22621 33858\n66864 100000\n50127 75140\n83612 100000\n16242 24286\n3170 4722\n55483 83156\n36872 55225\n45057 67483\n26141 39133\n53465 80147\n86837 100000\n94505 100000\n25126 37609\n58763 88084\n50694 75986\n86256 100000\n15448 23086\n98603 100000\n68292 100000\n63167 94741\n92134 100000\n16993 25393\n93161 100000\n81526 100000\n1769 2639\n54933 82337\n35239 52724\n98966 100000\n33580 50228\n10548 15742\n25230 37764\n39861 59713\n69291 100000\n79797 100000\n33636 50311\n77476 100000\n17125 25586\n56227 84273\n20113 30062\n19078 28524\n34424 51513\n66328 99490\n81175 100000\n20971 31357\n99334 100000\n7785 11601\n12168 18206\n23019 34464\n17777 26572\n59170 88687\n67157 100000\n98409 100000\n58712 88009\n64321 96453\n45197 67707\n84194 100000\n92829 100000\n86596 100000\n63687 95499\n73598 100000\n31681 47403\n24975 37380\n90715 100000\n57971 86893\n53224 79791\n32542 48676\n66971 100000\n21978 32882\n76559 100000\n98328 100000\n70192 100000\n19309 28876\n5417 8072\n67520 100000\n55504 83186\n94227 100000\n48055 72031\n71191 100000\n15023 22448\n54280 81370\n28320 42356\n26570 39776\n90423 100000\n92083 100000\n56443 84596\n91150 100000\n4623 6871\n30912 46256\n7951 11839\n67997 100000\n96901 100000\n47573 71304\n21797 32607\n41114 61623\n69563 100000\n38157 57148\n69194 100000\n80386 100000\n6782 10100\n83626 100000\n76550 100000\n11374 16978\n6407 9551\n68931 100000\n57164 85673\n11205 16724\n6502 9691\n87614 100000\n72464 100000\n10757 16047\n15951 23854\n97356 100000\n64168 96225\n26591 39805\n80218 100000\n50672 75951\n22883 34259\n33371 49917\n79162 100000\n7935 11816\n28505 42625\n98843 100000\n16776 25065\n68973 100000\n65471 98208\n14229 21259\n18038 26963\n4558 6774\n9847 14699\n71881 100000\n10099 15076\n11574 17292\n2102 3151\n16761 25044\n89071 100000\n62182 93272\n8133 12103\n42683 63953\n28011 41893\n73208 100000\n75228 100000\n72585 100000\n4474 6654\n12843 19208\n47468 71147\n40542 60745\n51643 77410\n95668 100000\n9367 13969\n90186 100000\n16571 24764\n16632 24852\n38650 57892\n5361 7986\n19716 29481\n73142 100000\n48913 73304\n60759 91121\n53664 80448\n79269 100000\n26339 39431\n47442 71108\n18146 27125\n17195 25690\n40002 59923\n52430 78592\n79129 100000\n36946 55327\n14385 21487\n49336 73952\n85902 100000\n35970 53843\n6294 9386\n3771 5606\n90094 100000\n46586 69805\n65628 98440\n5672 8442\n25308 37879\n28465 42573\n47343 70960\n17470 26113\n24436 36583\n85524 100000\n75234 100000\n77873 100000\n96056 100000\n3511 5216\n30598 45769\n1746 2603\n52274 78356\n52234 78296\n14602 21812\n6186 9227\n93013 100000\n5575 8301\n90326 100000\n62305 93454\n64189 96257\n43587 65326\n6213 9266\n76648 100000\n64434 96625\n50673 75952\n27396 40989\n77006 100000\n11811 17662\n40671 60947\n11836 17702\n64413 96595\n53933 80852\n23044 34498\n83934 100000\n30521 45649\n12138 18162\n37245 55781\n9860 14718\n42256 63321\n15351 22934\n5499 8194\n3806 5654\n84447 100000\n26586 39797\n79562 100000\n15348 22930\n27900 41726\n86655 100000\n21927 32810\n19140 28619\n32441 48536\n65384 98072\n45208 67727\n6848 10203\n54690 81972\n81638 100000\n10414 15553\n17286 25826\n97009 100000\n29046 43429\n59641 89410\n99436 100000\n72260 100000\n66182 99273\n36887 55244\n46147 69143\n52692 78991\n96374 100000\n6855 10215\n16110 24088\n72869 100000\n91219 100000\n37703 56472\n40783 61123\n36785 55092\n48230 72285\n72729 100000\n87083 100000\n56456 84617\n22436 33579\n44114 66108\n85825 100000\n31989 47872\n78857 100000\n41056 61538\n93273 100000\n74703 100000\n12002 17957\n62701 94034\n49450 74130\n51415 77077\n4526 6732\n34472 51579\n37570 56273\n85625 100000\n40860 61243\n93276 100000\n97598 100000\n30668 45875\n20867 31203\n17085 25527\n48259 72330\n51117 76622\n64203 96275\n6722 10012\n33544 50175\n11509 17197\n41443 62109\n69721 100000\n43702 65496\n25667 38416\n34455 51554\n16429 24552\n62373 93552\n60890 91313\n21668 32414\n92410 100000\n35328 52850\n50423 75585\n9795 14615\n69220 100000\n83457 100000\n43308 64899\n35497 53125\n50613 75858\n14239 21274\n11266 16819\n15735 23520\n59281 88861\n31107 46537\n25302 37871\n98771 100000\n53045 79534\n86781 100000\n69574 100000\n51023 76486\n5191 7734\n23619 35350\n40752 61074\n29356 43892\n74608 100000\n11650 17416\n81536 100000\n76170 100000\n58039 86997\n20527 30691\n44684 66935\n75337 100000\n9427 14061\n72427 100000\n12575 18801\n86967 100000\n93112 100000\n62823 94220\n52253 78325\n89414 100000\n6434 9588\n70052 100000\n26225 39257\n98925 100000\n29418 43985\n92203 100000\n7914 11787\n37773 56576\n64600 96868\n87050 100000\n2815 4198\n77745 100000\n66375 99562\n41577 62302\n91849 100000\n44703 66962\n39929 59811\n84894 100000\n17035 25453\n38778 58083\n47285 70873\n32961 49302\n30154 45101\n8905 13278\n23151 34649\n91237 100000\n61412 92114\n98699 100000\n23152 34651\n54615 81860\n82233 100000\n96213 100000\n85150 100000\n43774 65600\n2254 3372\n21001 31402\n61592 92381\n26749 40042\n47210 70763\n82009 100000\n51061 76544\n17269 25799\n5379 8011\n31075 46490\n32741 48966\n40918 61328\n86800 100000\n45835 68666\n50517 75724\n41377 62006\n40277 60337\n51154 76682\n19180 28679\n49590 74342\n46058 69008\n31840 47647\n69122 100000\n65940 98901\n14691 21948\n42980 64408\n24173 36178\n99238 100000\n41166 61703\n98275 100000\n91344 100000\n93800 100000\n13626 20370\n31867 47686\n18330 27404\n46919 70317\n21038 31457\n41147 61670\n80366 100000\n66178 99267\n19020 28441\n7409 11052\n7338 10943\n39995 59912\n47732 71536\n31147 46591\n1519 2264\n13488 20169\n16117 24097\n71413 100000\n90779 100000\n73218 100000\n37883 56736\n24906 37278\n74850 100000\n36430 54549\n48020 71975\n82647 100000\n92004 100000\n384 564\n14354 21442\n12152 18183\n19760 29550\n31183 46647\n89159 100000\n26055 38991\n68025 100000\n52879 79283\n75192 100000\n21421 32036\n81650 100000\n4332 6441\n35146 52582\n40155 60152\n6087 9072\n68837 100000\n74404 100000\n12990 19423\n43278 64851\n71949 100000\n73861 100000\n37103 55566\n12754 19074\n19504 29167\n6207 9258\n98207 100000\n29128 43546\n41642 62398\n3283 4889\n93639 100000\n94403 100000\n98636 100000\n55677 83436\n31167 46622\n85771 100000\n81135 100000\n20545 30715\n90123 100000\n15727 23509\n33991 50847\n86449 100000\n99248 100000\n84941 100000\n48992 73425\n29768 44523\n79900 100000\n92645 100000\n18121 27088\n80175 100000\n33748 50484\n25509 38181\n71817 100000\n31908 47746\n88791 100000\n4123 6128\n37057 55493\n48941 73349\n45468 68117\n84101 100000\n50525 75737\n55822 83657\n17488 26139\n33301 49812\n23155 34655\n76644 100000\n19954 29833\n48940 73348\n77576 100000\n29346 43874\n61884 92829\n39768 59570\n83901 100000\n2169 3248\n38993 58397\n38760 58058\n90856 100000\n52109 78105\n96678 100000\n82904 100000\n5853 8716\n63579 95343\n65122 97657\n67262 100000\n40245 60291\n56096 84072\n66722 100000\n55394 83020\n57044 85504\n10988 16396\n42436 63592\n23544 35241\n12414 18565\n40674 60951\n78378 100000\n77165 100000\n53772 80612\n80862 100000\n31057 46465\n35868 53688\n88625 100000\n8560 12759\n77142 100000\n71844 100000\n50836 76203\n17496 26149\n77400 100000\n11902 17802\n73778 100000\n28961 43296\n84826 100000\n15264 22807\n19210 28721\n4569 6790\n93437 100000\n56733 85037\n14347 21433\n74009 100000\n64969 97423\n75125 100000\n39806 59630\n6059 9031\n33148 49590\n17675 26422\n49524 74240\n59949 89875\n53326 79946\n64590 96852\n55053 82515\n27886 41705\n28583 42734\n7707 11496\n21517 32181\n32912 49229\n18605 27807\n62933 94386\n59585 89318\n22669 33927\n58995 88430\n96569 100000\n57118 85608\n13707 20487\n20565 30749\n28610 42776\n61662 92491\n82571 100000\n57703 86494\n45696 68459\n42213 63253\n63219 94818\n43554 65273\n17930 26805\n86401 100000\n38091 57053\n74317 100000\n57726 86530\n75291 100000\n86916 100000\n96930 100000\n86609 100000\n64261 96361\n20410 30517\n88845 100000\n72219 100000\n30651 45851\n72496 100000\n69429 100000\n15335 22911\n40892 61291\n89649 100000\n27334 40897\n30191 45160\n52618 78874\n81035 100000\n93081 100000\n60454 90651\n55357 82966\n45873 68724\n79350 100000\n25637 38370\n19843 29673\n65335 97997\n1979 2965\n12021 17987\n58085 87068\n46195 69209\n14769 22063\n20684 30930\n30945 46306\n65446 98167\n53659 80441\n40167 60169\n26879 40228\n33936 50768\n41892 62775\n63926 95874\n4675 6952\n55033 82486\n26812 40134\n52703 79006\n11444 17086\n91249 100000\n28632 42809\n72913 100000\n87096 100000\n59699 89498\n96255 100000\n83185 100000\n87953 100000\n2003 3001\n90874 100000\n48096 72093\n13742 20540\n13155 19676\n799 1196\n17665 26405\n23831 35667\n78546 100000\n12827 19184\n24893 37262\n22957 34374\n60308 90433\n26999 40401\n96203 100000\n55397 83025\n97863 100000\n41158 61690\n60215 90288\n88340 100000\n94166 100000\n58226 87276\n11300 16869\n91701 100000\n72973 100000\n38385 57496\n60947 91401\n19550 29236\n82922 100000\n29988 44854\n20307 30355\n30656 45858\n3105 4627\n5228 7786\n84496 100000\n27610 41301\n81304 100000\n94070 100000\n83746 100000\n78576 100000\n97813 100000\n95522 100000\n87137 100000\n2373 3552\n41646 62402\n63681 95490\n43493 65185\n52601 78846\n96724 100000\n22248 33293\n12896 19286\n52517 78723\n22801 34130\n7094 10576\n25699 38466\n15092 22548\n86002 100000\n48272 72351\n73423 100000\n4809 7151\n69831 100000\n2556 3832\n74979 100000\n82159 100000\n3700 5502\n99668 100000\n67841 100000\n57617 86358\n15963 23873\n5742 8545\n12302 18407\n2272 3399\n80787 100000\n15363 22951\n57978 86900\n95301 100000\n59896 89791\n80606 100000\n38958 58344\n80364 100000\n85121 100000\n21802 32615\n19238 28769\n51432 77098\n22281 33343\n85495 100000\n2667 3989\n42747 64050\n64245 96337\n43769 65595\n39386 59006\n33404 49962\n64865 97270\n76548 100000\n79270 100000\n61840 92755\n65788 98677\n45742 68529\n24621 36863\n6425 9574\n79371 100000\n66329 99491\n62381 93560\n12895 19285\n18154 27136\n8750 13035\n62743 94094\n63932 95884\n51196 76747\n14729 22006\n19481 29130\n50674 75954\n42343 63446\n10024 14967\n43274 64844\n26473 39632\n36922 55293\n35655 53357\n12574 18800\n90073 100000\n51959 77887\n4059 6027\n47023 70475\n51177 76718\n45412 68032\n96682 100000\n14649 21886\n43403 65047\n34337 51374\n16372 24468\n5758 8570\n63601 95373\n23061 34523\n68280 100000\n43823 65676\n386 567\n82505 100000\n30268 45271\n14699 21960\n73568 100000\n1571 2345\n18125 27095\n96022 100000\n73049 100000\n29055 43442\n24941 37328\n29773 44531\n49379 74018\n4168 6202\n39443 59094\n80345 100000\n16042 23986\n11931 17845\n31266 46777\n31253 46755\n67825 100000\n11632 17388\n90224 100000\n85190 100000\n13876 20741\n33836 50612\n12237 18307\n74532 100000\n56770 85091\n96457 100000\n29667 44369\n71721 100000\n59460 89125\n91928 100000\n83033 100000\n39786 59600\n3109 4632\n19601 29317\n29990 44858\n87015 100000\n74687 100000\n5219 7774\n49283 73868\n45627 68354\n77685 100000\n85327 100000\n76201 100000\n28378 42445\n73046 100000\n42197 63231\n21680 32433\n17749 26531\n49327 73937\n77356 100000\n94675 100000\n73370 100000\n42174 63197\n12350 18471\n43770 65596\n84246 100000\n81180 100000\n18998 28405\n31037 46432\n33290 49796\n53433 80099\n24596 36825\n54877 82254\n1952 2922\n3006 4483\n20054 29974\n16467 24611\n35478 53092\n8760 13051\n29782 44546\n91217 100000\n43451 65121\n75791 100000\n31827 47628\n55858 83715\n62401 93590\n50094 75097\n95866 100000\n89325 100000\n34159 51101\n81693 100000\n33862 50652\n12109 18122\n61642 92456\n12321 18431\n29580 44230\n15764 23568\n56468 84636\n45889 68750\n79480 100000\n36322 54386\n78082 100000\n5535 8247\n58171 87195\n56357 84469\n69179 100000\n8850 13194\n11096 16559\n24282 36342\n69919 100000\n31842 47649\n88045 100000\n14084 21045\n74327 100000\n79764 100000\n93325 100000\n12471 18647\n50148 75175\n58230 87281\n24027 35959\n60570 90832\n62301 93448\n24755 37058\n70830 100000\n97891 100000\n69704 100000\n56642 84897\n56157 84168\n21882 32743\n65635 98450\n3097 4616\n16453 24589\n4792 7123\n14177 21183\n88440 100000\n29026 43399\n82158 100000\n16671 24909\n87489 100000\n35787 53562\n6280 9366\n63730 95565\n98141 100000\n8786 13093\n70771 100000\n61617 92422\n9428 14062\n25987 38897\n38472 57631\n73191 100000\n48278 72359\n40943 61366\n22615 33849\n36739 55022\n16081 24046\n84937 100000\n31065 46475\n70910 100000\n2020 3027\n18339 27419\n8811 13136\n5649 8407\n42877 64245\n79422 100000\n71237 100000\n46149 69145\n883 1323\n81582 100000\n98766 100000\n57531 86227\n24724 37010\n56249 84303\n90386 100000\n74277 100000\n94805 100000\n82334 100000\n10671 15918\n51347 76974\n58922 88317\n86542 100000\n86323 100000\n2664 3985\n56550 84766\n15130 22604\n69604 100000\n96405 100000\n20092 30030\n84002 100000\n53538 80252\n34043 50924\n74976 100000\n89602 100000\n40076 60033\n60291 90405\n8216 12228\n53545 80262\n8608 12828\n97135 100000\n98172 100000\n89614 100000\n53953 80882\n15430 23058\n35574 53240\n35848 53657\n6055 9023\n63594 95363\n76992 100000\n75882 100000\n97938 100000\n25467 38120\n22046 32985\n94169 100000\n16019 23951\n6642 9889\n33906 50721\n31038 46434\n26096 39058\n56040 83985\n24576 36795\n21041 31463\n1191 1781\n56484 84663\n48017 71970\n79783 100000\n62462 93679\n47491 71179\n63647 95437\n97264 100000\n5827 8677\n77517 100000\n83937 100000\n24969 37371\n70430 100000\n47380 71015\n99353 100000\n47700 71489\n15844 23688\n71058 100000\n83417 100000\n44955 67337\n48627 72875\n91596 100000\n3106 4629\n48949 73362\n27618 41312\n43635 65397\n24739 37035\n5950 8864\n22220 33247\n46424 69567\n48771 73088\n40375 60485\n92875 100000\n59466 89136\n85195 100000\n2572 3854\n22146 33139\n8792 13103\n61104 91631\n71613 100000\n76299 100000\n25544 38228\n68436 100000\n62858 94272\n41306 61898\n28116 42052\n85955 100000\n53271 79861\n92917 100000\n84400 100000\n96175 100000\n64586 96846\n96486 100000\n48781 73103\n5996 8932\n76598 100000\n41543 62259\n26062 39002\n44891 67236\n71090 100000\n84950 100000\n40150 60145\n95357 100000\n83375 100000\n16399 24509\n80423 100000\n68835 100000\n97139 100000\n52775 79123\n43450 65119\n22359 33466\n13257 19819\n85656 100000\n15104 22565\n38606 57828\n4959 7377\n33351 49884\n73489 100000\n80555 100000\n53015 79495\n20420 30532\n25502 38171\n6228 9290\n17985 26887\n6397 9535\n88912 100000\n16342 24424\n90021 100000\n63351 95013\n90788 100000\n27231 40748\n97329 100000\n44138 66147\n70825 100000\n92888 100000\n37682 56442\n90954 100000\n49609 74371\n95186 100000\n82555 100000\n96131 100000\n33474 50071\n7201 10737\n88620 100000\n34206 51169\n35977 53852\n17117 25574\n74072 100000\n96167 100000\n3179 4737\n60008 89965\n30523 45653\n55375 82995\n23792 35604\n44993 67397\n2541 3807\n37036 55466\n98641 100000\n1138 1701\n59084 88562\n2463 3686\n36613 54830\n8677 12928\n71851 100000\n64958 97408\n60144 90178\n89840 100000\n80905 100000\n91647 100000\n34021 50894\n22283 33346\n82202 100000\n88566 100000\n7994 11901\n74577 100000\n94076 100000\n30862 46180\n55097 82576\n9969 14878\n248 367\n13389 20016\n73873 100000\n97046 100000\n54903 82290\n28700 42914\n76057 100000\n24308 36382\n12231 18297\n90563 100000\n68602 100000\n19683 29434\n87984 100000\n41656 62420\n62852 94263\n83811 100000\n79677 100000\n62759 94121\n60339 90479\n99114 100000\n60348 90494\n54757 82076\n8926 13312\n79189 100000\n56978 85400\n1636 2432\n70321 100000\n95622 100000\n22171 33175\n32536 48670\n27945 41791\n93830 100000\n88394 100000\n43916 65821\n57880 86755\n31231 46719\n56990 85418\n46525 69715\n67158 100000\n39332 58919\n44127 66129\n90039 100000\n29003 43361\n41200 61752\n9956 14861\n97576 100000\n20917 31277\n67395 100000\n9481 14138\n42180 63207\n60063 90055\n27196 40697\n67250 100000\n9302 13868\n93603 100000\n86234 100000\n46977 70407\n92772 100000\n95244 100000\n38910 58274\n32470 48581\n2422 3626\n78579 100000\n84039 100000\n5816 8660\n88723 100000\n29838 44628\n53700 80504\n48509 72701\n29052 43438\n24649 36903\n9573 14284\n12041 18019\n99919 100000\n96114 100000\n96673 100000\n91465 100000\n47411 71060\n24033 35966\n90519 100000\n72990 100000\n38279 57330\n68576 100000\n82288 100000\n75064 100000\n34271 51274\n43363 64980\n61003 91482\n76496 100000\n28816 43089\n88282 100000\n18280 27323\n95643 100000\n18188 27187\n90742 100000\n9863 14721\n23081 34551\n90548 100000\n30939 46296\n59769 89608\n64470 96677\n15678 23437\n39104 58568\n17447 26080\n23764 35560\n7369 10991\n16980 25373\n17157 25632\n15588 23300\n86119 100000\n57876 86749\n73911 100000\n13213 19759\n46123 69105\n72828 100000\n13234 19789\n3185 4746\n28641 42821\n43028 64483\n66417 99625\n15739 23526\n48851 73208\n17834 26668\n69276 100000\n10807 16122\n283 416\n56807 85149\n24589 36814\n75860 100000\n52514 78718\n27041 40462\n33341 49869\n92207 100000\n99424 100000\n56183 84206\n69907 100000\n547 820\n38431 57569\n84487 100000\n40678 60957\n99928 100000\n72101 100000\n30952 46316\n96066 100000\n43579 65312\n45032 67449\n39061 58503\n10794 16104\n90880 100000\n18391 27493\n85334 100000\n22237 33273\n97432 100000\n68261 100000\n79030 100000\n10924 16299\n56970 85391\n17267 25797\n76487 100000\n85855 100000\n7398 11035\n5879 8757\n61135 91679\n96185 100000\n45948 68836\n92422 100000\n95702 100000\n12753 19072\n95515 100000\n38696 57962\n91138 100000\n94383 100000\n92001 100000\n90221 100000\n82389 100000\n48506 72697\n13755 20561\n57491 86168\n57425 86064\n81108 100000\n85792 100000\n32467 48577\n22244 33287\n26148 39144\n10744 16027\n98541 100000\n10094 15068\n7404 11045\n57283 85847\n59679 89465\n27901 41727\n3559 5289\n28367 42430\n52121 78121\n33122 49552\n54365 81495\n22027 32957\n14728 22004\n638 956\n38093 57056\n17588 26285\n92556 100000\n21535 32211\n24065 36014\n98505 100000\n82156 100000\n73421 100000\n15190 22692\n5260 7834\n10856 16195\n25057 37507\n40621 60866\n51598 77348\n52944 79386\n57858 86721\n36174 54166\n45441 68076\n93845 100000\n12724 19030\n96799 100000\n48298 72386\n34876 52173\n32800 49058\n65568 98350\n74737 100000\n109 160\n24831 37172\n84523 100000\n54645 81904\n28211 42195\n89100 100000\n17889 26751\n97784 100000\n96035 100000\n83608 100000\n67442 100000\n69729 100000\n80085 100000\n41907 62797\n78182 100000\n73698 100000\n59132 88629\n60928 91368\n72695 100000\n3262 4861\n62145 93217\n76461 100000\n29060 43452\n97156 100000\n21830 32659\n3365 5002\n79574 100000\n11203 16721\n69756 100000\n35241 52728\n79388 100000\n1783 2664\n41196 61746\n27058 40488\n76858 100000\n68777 100000\n21632 32358\n41080 61572\n7158 10675\n17441 26069\n15440 23075\n3813 5665\n23218 34753\n95151 100000\n94957 100000\n75821 100000\n44726 66993\n1106 1656\n13607 20343\n51722 77532\n40948 61373\n58910 88299\n49103 73598\n64750 97093\n11927 17838\n17292 25836\n18040 26967\n44768 67053\n82211 100000\n47940 71860\n29682 44393\n49164 73691\n56287 84362\n92385 100000\n31993 47876\n91209 100000\n77797 100000\n74477 100000\n81430 100000\n41624 62373\n33656 50341\n75653 100000\n14242 21278\n31117 46550\n8941 13335\n42049 63012\n18636 27856\n15197 22703\n34406 51487\n45509 68177\n83283 100000\n38931 58304\n84291 100000\n75433 100000\n21909 32783\n47331 70940\n74336 100000\n57478 86147\n82761 100000\n95599 100000\n35790 53566\n4314 6414\n26826 40153\n84792 100000\n59292 88877\n988 1477\n54147 81171\n78450 100000\n88934 100000\n46880 70257\n9076 13534\n65032 97518\n67357 100000\n94348 100000\n75128 100000\n1037 1552\n71857 100000\n18099 27057\n46697 69979\n20349 30422\n64633 96920\n1980 2967\n84455 100000\n5122 7628\n31483 47112\n49498 74201\n28266 42278\n7248 10806\n50217 75271\n42069 63044\n78463 100000\n58812 88165\n24162 36159\n4993 7428\n41933 62836\n74747 100000\n45823 68650\n39608 59340\n93430 100000\n86388 100000\n48673 72945\n7231 10783\n38844 58179\n720 1075\n9675 14431\n54678 81953\n51139 76657\n68407 100000\n33064 49462\n20459 30589\n16226 24258\n46500 69681\n72797 100000\n80296 100000\n40955 61383\n78209 100000\n90540 100000\n80877 100000\n45751 68544\n54396 81542\n82732 100000\n22544 33740\n10018 14957\n95352 100000\n10258 15302\n60893 91316\n87576 100000\n14269 21318\n14871 22225\n81919 100000\n31664 47379\n92121 100000\n58832 88195\n90751 100000\n83100 100000\n8280 12321\n6698 9972\n58262 87332\n86803 100000\n7140 10648\n91702 100000\n47163 70689\n35864 53682\n60005 89961\n82347 100000\n7374 10997\n38194 57200\n69267 100000\n66099 99148\n91412 100000\n54443 81608\n65322 97976\n93224 100000\n38634 57869\n43046 64510\n20042 29956\n95562 100000\n68474 100000\n44389 66500\n27433 41041\n10832 16156\n30900 46239\n99407 100000\n38990 58394\n92562 100000\n24416 36555\n12622 18874\n99992 100000\n47889 71781\n27525 41175\n49108 73607\n9862 14720\n28842 43123\n69896 100000\n1112 1665\n98182 100000\n40529 60722\n2418 3621\n5119 7622\n26018 38941\n50574 75802\n95327 100000\n54109 81111\n82637 100000\n46550 69752\n40535 60732\n60735 91084\n65922 98871\n94451 100000\n50981 76425\n66785 100000\n31217 46696\n55612 83341\n8788 13096\n10606 15828\n97470 100000\n70270 100000\n56492 84675\n8526 12705\n48487 72669\n66144 99211\n54503 81700\n97282 100000\n28747 42987\n98622 100000\n4838 7194\n96106 100000\n82229 100000\n30439 45524\n77907 100000\n18061 26999\n47199 70748\n17262 25790\n87280 100000\n77029 100000\n65437 98155\n14391 21497\n53963 80896\n66875 100000\n5340 7952\n37055 55490\n45594 68303\n31349 46906\n47247 70816\n53120 79638\n71384 100000\n40981 61424\n91045 100000\n44750 67029\n1114 1668\n93074 100000\n46677 69946\n82137 100000\n11803 17649\n15116 22583\n84723 100000\n90265 100000\n1034 1549\n44070 66043\n38729 58012\n95784 100000\n43414 65066\n73940 100000\n66498 99744\n92621 100000\n36807 55124\n56777 85104\n3186 4748\n28635 42813\n11530 17228\n5290 7877\n81859 100000\n78894 100000\n65228 97822\n6780 10096\n69547 100000\n73549 100000\n18655 27886\n14791 22095\n82113 100000\n40623 60869\n93173 100000\n15142 22621\n97434 100000\n76880 100000\n98556 100000\n11585 17311\n2145 3212\n98822 100000\n40045 59990\n33194 49653\n52764 79103\n46692 69971\n38010 56925\n6918 10315\n88582 100000\n56479 84656\n72357 100000\n48712 72997\n90134 100000\n61974 92963\n1898 2844\n6232 9295\n79463 100000\n18598 27800\n1298 1944\n71871 100000\n2988 4456\n58692 87981\n43282 64857\n59571 89295\n25009 37434\n37439 56076\n8492 12649\n75547 100000\n59690 89484\n30130 45069\n60575 90839\n56884 85267\n12713 19010\n95323 100000\n69630 100000\n29124 43540\n8793 13105\n66301 99449\n93278 100000\n70942 100000\n15828 23665\n40137 60124\n65289 97920\n84058 100000\n73954 100000\n62580 93854\n8720 12993\n95486 100000\n30528 45660\n37076 55526\n96283 100000\n20448 30572\n31935 47789\n43040 64501\n63109 94657\n38031 56959\n47413 71063\n44041 65998\n82655 100000\n72217 100000\n23057 34516\n19021 28443\n36852 55199\n53374 80015\n81454 100000\n81012 100000\n4298 6393\n1539 2296\n51967 77898\n98807 100000\n82564 100000\n22292 33360\n92327 100000\n1419 2126\n51137 76654\n28420 42511\n7620 11364\n15244 22778\n32388 48459\n91238 100000\n48745 73045\n78439 100000\n88246 100000\n96349 100000\n10149 15142\n82216 100000\n80202 100000\n85163 100000\n59541 89250\n9402 14021\n5581 8311\n43690 65478\n97335 100000\n65996 98991\n19072 28516\n59014 88456\n7341 10947\n51208 76766\n98193 100000\n96934 100000\n1165 1741\n8986 13401\n6587 9813\n43706 65502\n66567 99847\n25590 38302\n90451 100000\n73371 100000\n36833 55169\n56417 84561\n96 141\n17414 26026\n58108 87099\n76169 100000\n26609 39835\n2384 3570\n58324 87430\n1234 1845\n15332 22906\n52423 78579\n50647 75907\n41276 61857\n18034 26957\n24925 37306\n90216 100000\n25514 38187\n11525 17220\n88763 100000\n96031 100000\n40142 60133\n94949 100000\n5530 8240\n82901 100000\n12222 18282\n45274 67827\n46759 70070\n92713 100000\n6867 10236\n42633 63879\n58673 87954\n9044 13489\n3462 5144\n59930 89845\n73949 100000\n59786 89633\n12931 19336\n68658 100000\n17949 26832\n66517 99769\n88107 100000\n81767 100000\n15492 23153\n84633 100000\n95192 100000\n23118 34606\n37628 56361\n82461 100000\n24959 37354\n14807 22122\n93546 100000\n47850 71722\n4333 6443\n49127 73635\n41347 61958\n24651 36906\n6261 9337\n5392 8032\n28525 42655\n68622 100000\n98082 100000\n93042 100000\n45811 68633\n36673 54924\n70018 100000\n807 1207\n83444 100000\n55747 83539\n784 1175\n91286 100000\n43800 65640\n18934 28306\n65048 97541\n35664 53371\n86645 100000\n21729 32505\n42597 63822\n2583 3867\n84854 100000\n3826 5684\n72974 100000\n61070 91583\n6828 10172\n54802 82143\n80517 100000\n7266 10831\n85827 100000\n99276 100000\n28016 41901\n40770 61102\n15889 23757\n29382 43928\n92313 100000\n5812 8653\n28661 42852\n65589 98382\n61501 92242\n17280 25816\n49681 74479\n6845 10198\n15274 22819\n48705 72986\n47373 71005\n95542 100000\n99967 100000\n34184 51136\n74431 100000\n45706 68476\n80656 100000\n20149 30112\n82089 100000\n71216 100000\n68130 100000\n8897 13266\n38917 58282\n71429 100000\n32063 47976\n28876 43177\n18111 27075\n51091 76585\n73715 100000\n19964 29845\n40443 60586\n14963 22363\n44538 66717\n33473 50069\n50071 75065\n19024 28446\n75903 100000\n31922 47767\n41593 62326\n98042 100000\n46091 69052\n53033 79521\n56556 84774\n71112 100000\n21886 32750\n52263 78340\n98166 100000\n92028 100000\n98443 100000\n29040 43418\n21890 32756\n10551 15747\n61713 92571\n84475 100000\n27853 41660\n39168 58667\n25594 38307\n42245 63306\n72758 100000\n60563 90822\n39994 59910\n33960 50802\n86685 100000\n26653 39901\n7659 11420\n72963 100000\n26056 38993\n6659 9915\n23816 35645\n11904 17805\n20631 30853\n26457 39609\n79062 100000\n70469 100000\n24481 36652\n59838 89710\n7168 10690\n8617 12842\n148 217\n73996 100000\n99369 100000\n30573 45728\n91498 100000\n15072 22518\n40193 60209\n32481 48596\n11694 17485\n27345 40913\n17112 25567\n35807 53596\n8869 13223\n41302 61894\n60863 91272\n88971 100000\n65957 98929\n58210 87253\n39254 58799\n36640 54874\n59097 88578\n73567 100000\n7176 10704\n79609 100000\n69376 100000\n55355 82964\n28626 42801\n89383 100000\n92204 100000\n3990 5927\n68951 100000\n76729 100000\n46557 69759\n80701 100000\n25795 38611\n92558 100000\n77273 100000\n34710 51930\n86013 100000\n38912 58276\n87962 100000\n36543 54721\n24094 36057\n97714 100000\n45034 67452\n22079 33035\n23275 34842\n5467 8147\n76188 100000\n59215 88756\n36366 54456\n87613 100000\n60636 90932\n12352 18474\n12594 18831\n65898 98834\n84333 100000\n80501 100000\n55698 83464\n32310 48350\n53228 79797\n52727 79045\n69067 100000\n29266 43753\n70346 100000\n22841 34193\n27580 41254\n46813 70154\n98256 100000\n92688 100000\n31838 47644\n7593 11321\n21866 32719\n60815 91202\n35473 53084\n8819 13148\n72246 100000\n87987 100000\n39601 59329\n11964 17898\n94028 100000\n83436 100000\n45383 67991\n36073 54004\n11075 16526\n55645 83389\n7439 11094\n17308 25862\n90602 100000\n63433 95132\n64274 96383\n38328 57405\n15915 23797\n2461 3684\n54713 82008\n26235 39271\n35115 52534\n28660 42850\n99413 100000\n29558 44200\n49664 74451\n65642 98459\n18161 27147\n54785 82117\n20895 31247\n17666 26406\n35170 52617\n12289 18392\n91433 100000\n94215 100000\n30180 45143\n58733 88039\n25367 37967\n60541 90790\n42249 63313\n97487 100000\n90811 100000\n98029 100000\n62685 94010\n73590 100000\n40854 61234\n98979 100000\n56587 84816\n11815 17668\n34161 51104\n35890 53723\n6832 10177\n50432 75597\n17555 26239\n46224 69256\n83383 100000\n4326 6432\n94563 100000\n50356 75487\n47788 71625\n14846 22181\n98366 100000\n37047 55481\n10437 15587\n37141 55622\n14650 21888\n67550 100000\n44354 66453\n36553 54737\n82017 100000\n85522 100000\n79711 100000\n30906 46247\n71426 100000\n2703 4036\n96384 100000\n12354 18477\n86915 100000\n59970 89907\n28737 42970\n13437 20095\n24603 36836\n86263 100000\n38747 58042\n39684 59444\n87608 100000\n68805 100000\n85415 100000\n69874 100000\n9321 13897\n47325 70932\n26223 39254\n73762 100000\n27177 40671\n36712 54981\n7801 11621\n87791 100000\n93405 100000\n6598 9828\n77291 100000\n18336 27414\n18759 28047\n34306 51327\n56869 85246\n75604 100000\n96404 100000\n64513 96741\n38817 58141\n53348 79976\n92839 100000\n75888 100000\n67734 100000\n41501 62194\n1457 2180\n10210 15232\n74586 100000\n14052 20998\n56294 84372\n67096 100000\n41221 61782\n6134 9145\n92231 100000\n68428 100000\n31159 46610\n83252 100000\n91568 100000\n44876 67211\n86560 100000\n89486 100000\n31490 47121\n24991 37409\n57429 86071\n13392 20021\n93099 100000\n16464 24607\n93588 100000\n19950 29827\n14747 22032\n30973 46343\n66398 99595\n13507 20199\n45603 68317\n93920 100000\n55575 83289\n82091 100000\n59710 89514\n47872 71755\n93521 100000\n6920 10317\n25077 37539\n49426 74092\n41320 61918\n84588 100000\n89405 100000\n47405 71051\n5533 8244\n30053 44951\n73626 100000\n54059 81034\n97634 100000\n10472 15635\n76000 100000\n95489 100000\n770 1151\n92480 100000\n28362 42423\n6624 9864\n69646 100000\n28557 42697\n38937 58311\n49686 74485\n31649 47354\n10575 15782\n62111 93168\n68678 100000\n99762 100000\n67537 100000\n66907 100000\n33652 50336\n48848 73203\n59036 88491\n75541 100000\n64910 97337\n90066 100000\n58955 88371\n14151 21144\n73546 100000\n51574 77311\n39731 59516\n53234 79808\n82765 100000\n31551 47211\n45625 68351\n43183 64699\n29908 44733\n98977 100000\n40760 61087\n85157 100000\n77282 100000\n86796 100000\n96212 100000\n26937 40311\n76934 100000\n33866 50659\n6929 10329\n74481 100000\n70808 100000\n42977 64404\n38478 57640\n18292 27341\n66441 99658\n73602 100000\n73350 100000\n37269 55816\n91833 100000\n3631 5397\n75409 100000\n50233 75296\n49823 74691\n54772 82097\n9724 14509\n17229 25739\n13456 20120\n10489 15659\n26976 40374\n51302 76904\n48409 72551\n9898 14775\n21787 32588\n88469 100000\n48193 72234\n45387 67996\n77556 100000\n79788 100000\n70217 100000\n1873 2803\n20139 30098\n84107 100000\n43870 65746\n29431 44003\n29350 43881\n84158 100000\n35159 52601\n89606 100000\n49899 74806\n98413 100000\n67093 100000\n87510 100000\n89619 100000\n55855 83709\n97843 100000\n1153 1722\n99493 100000\n99464 100000\n31707 47446\n44200 66239\n91777 100000\n43827 65684\n97968 100000\n28636 42815\n36939 55315\n90607 100000\n79662 100000\n98998 100000\n89943 100000\n40124 60107\n45251 67794\n34209 51174\n37858 56698\n82413 100000\n37322 55901\n50162 75193\n19155 28641\n87607 100000\n75679 100000\n72648 100000\n86381 100000\n46905 70296\n28472 42581\n37535 56224\n24412 36549\n89730 100000\n5293 7882\n54613 81858\n6245 9313\n53294 79897\n681 1020\n83654 100000\n77720 100000\n18795 28096\n65239 97838\n12438 18598\n96153 100000\n86079 100000\n69114 100000\n34867 52158\n30529 45661\n96944 100000\n3999 5940\n98216 100000\n50737 76055\n44624 66842\n29926 44761\n47431 71091\n56962 85376\n90100 100000\n66838 100000\n92930 100000\n32131 48079\n85508 100000\n42669 63932\n88968 100000\n78329 100000\n29654 44347\n42399 63535\n43300 64887\n64340 96479\n19962 29843\n48185 72225\n14936 22322\n98695 100000\n15222 22743\n89821 100000\n4027 5981\n81774 100000\n77753 100000\n50780 76119\n35769 53535\n95437 100000\n62902 94335\n26718 39995\n37810 56624\n67536 100000\n9523 14205\n68627 100000\n94095 100000\n92991 100000\n53740 80565\n76110 100000\n92407 100000\n5922 8824\n18919 28286\n19093 28549\n31229 46716\n11083 16537\n67117 100000\n3026 4513\n97280 100000\n19317 28887\n32279 48305\n15526 23207\n6684 9951\n46339 69426\n32443 48540\n12108 18121\n10835 16162\n9772 14580\n36897 55256\n66287 99426\n7479 11152\n4970 7395\n36280 54326\n25705 38476\n40120 60101\n68998 100000\n88479 100000\n24641 36892\n29945 44791\n84334 100000\n75906 100000\n70756 100000\n74935 100000\n78381 100000\n23906 35778\n93323 100000\n35851 53661\n21779 32575\n73556 100000\n10456 15615\n39480 59150\n35187 52643\n43034 64491\n90947 100000\n62540 93794\n34321 51350\n52543 78758\n28774 43024\n48966 73385\n28359 42420\n81874 100000\n18984 28381\n67665 100000\n27665 41382\n99922 100000\n29120 43533\n58584 87814\n5557 8278\n12485 18666\n24993 37411\n26168 39172\n93794 100000\n86857 100000\n61386 92074\n2665 3987\n71715 100000\n25522 38199\n73633 100000\n82825 100000\n80694 100000\n25437 38073\n34800 52060\n46682 69953\n75000 100000\n70584 100000\n78712 100000\n85865 100000\n1610 2395\n20160 30127\n73494 100000\n38115 57086\n34794 52052\n23650 35396\n46792 70120\n47719 71516\n82404 100000\n38640 57878\n56030 83971\n80399 100000\n49290 73879\n83972 100000\n61283 91913\n89445 100000\n43501 65196\n99110 100000\n56437 84588\n40066 60018\n66558 99833\n88240 100000\n6605 9837\n80967 100000\n59827 89695\n71554 100000\n32890 49196\n73687 100000\n59196 88727\n95864 100000\n17187 25677\n50223 75282\n22662 33917\n5358 7981\n14351 21439\n47093 70581\n8379 12475\n82772 100000\n71805 100000\n20604 30808\n33058 49452\n77122 100000\n47605 71352\n44277 66338\n7878 11737\n72606 100000\n54035 80999\n20434 30552\n18290 27338\n7240 10795\n73994 100000\n74701 100000\n47775 71606\n68700 100000\n73558 100000\n4044 6007\n34208 51172\n81333 100000\n31841 47648\n54078 81064\n37945 56826\n92038 100000\n69393 100000\n26060 38999\n98170 100000\n13529 20229\n82365 100000\n82146 100000\n89283 100000\n31305 46836\n80938 100000\n50068 75060\n52435 78600\n82114 100000\n2498 3741\n36995 55400\n5209 7762\n16371 24467\n55060 82524\n48632 72884\n16543 24728\n47853 71726\n73068 100000\n62256 93384\n91426 100000\n33865 50657\n37189 55695\n56922 85322\n17901 26766\n22745 34042\n28970 43307\n21152 31634\n42031 62988\n16779 25071\n53842 80718\n49029 73480\n60280 90386\n65200 97780\n83276 100000\n75370 100000\n95887 100000\n31010 46394\n77256 100000\n90084 100000\n58439 87598\n12874 19252\n99178 100000\n51115 76620\n87990 100000\n87307 100000\n92724 100000\n72564 100000\n1352 2023\n97463 100000\n74392 100000\n96274 100000\n5067 7547\n32144 48101\n3057 4557\n77329 100000\n74035 100000\n42164 63184\n80962 100000\n86924 100000\n46088 69048\n38130 57107\n79988 100000\n19831 29658\n45631 68360\n63745 95590\n14681 21933\n13487 20167\n50858 76237\n47607 71354\n71714 100000\n87756 100000\n52566 78796\n65451 98174\n76369 100000\n7966 11858\n51975 77912\n60155 90194\n33592 50247\n44378 66485\n66674 100000\n79906 100000\n27400 40996\n39191 58705\n77071 100000\n27793 41569\n89917 100000\n22966 34387\n36557 54744\n57497 86177\n13103 19596\n44461 66604\n6838 10185\n32306 48346\n22905 34294\n75936 100000\n1796 2685\n23672 35432\n72306 100000\n31759 47524\n13049 19514\n17387 25985\n88941 100000\n1425 2136\n68478 100000\n46244 69285\n22352 33455\n15653 23399\n51565 77299\n68499 100000\n95035 100000\n39220 58748\n31873 47695\n47792 71631\n9008 13435\n19148 28631\n94903 100000\n9443 14087\n71512 100000\n9251 13793\n58359 87478\n41511 62211\n88254 100000\n6505 9696\n89767 100000\n21528 32200\n70427 100000\n15875 23737\n27826 41621\n58697 87987\n55385 83007\n94198 100000\n55333 82931\n15031 22461\n66863 100000\n48425 72573\n62542 93797\n29877 44685\n13350 19963\n96690 100000\n97444 100000\n36427 54546\n6497 9683\n61881 92824\n11441 17081\n79663 100000\n60921 91358\n63567 95324\n89474 100000\n22647 33895\n81751 100000\n62614 93907\n46426 69570\n34835 52112\n93887 100000\n71183 100000\n70172 100000\n91794 100000\n14393 21500\n18505 27660\n95615 100000\n87335 100000\n864 1294\n97125 100000\n55805 83630\n96672 100000\n62250 93376\n74927 100000\n27366 40942\n19200 28708\n18242 27266\n63411 95098\n40182 60190\n16683 24926\n58430 87586\n45830 68659\n44126 66127\n22842 34195\n24713 36995\n97826 100000\n67847 100000\n1504 2244\n66219 99327\n75614 100000\n18576 27766\n31802 47589\n67431 100000\n92740 100000\n88641 100000\n22602 33828\n31728 47479\n43967 65890\n55236 82785\n87638 100000\n71763 100000\n11303 16873\n1404 2100\n45635 68367\n62387 93570\n74590 100000\n34793 52051\n70563 100000\n29875 44682\n70001 100000\n88668 100000\n3791 5634\n58639 87899\n68611 100000\n73152 100000\n20999 31398\n1303 1952\n35453 53053\n93000 100000\n51939 77854\n88986 100000\n67940 100000\n42513 63703\n49413 74071\n45604 68318\n63889 95816\n69214 100000\n21414 32026\n87499 100000\n5566 8290\n8495 12654\n67109 100000\n83607 100000\n81850 100000\n48953 73368\n19054 28490\n973 1453\n42735 64033\n3500 5201\n43500 65195\n79745 100000\n77707 100000\n62906 94343\n77508 100000\n31081 46498\n95530 100000\n50971 76410\n81525 100000\n84613 100000\n18157 27141\n54008 80960\n21791 32596\n48198 72240\n2066 3096\n3749 5575\n86880 100000\n45995 68909\n93422 100000\n6075 9055\n54565 81792\n79027 100000\n87357 100000\n54357 81482\n42824 64163\n95612 100000\n22757 34059\n11732 17541\n29334 43854\n37560 56261\n24232 36270\n50771 76106\n63797 95673\n43321 64917\n92279 100000\n19820 29639\n54201 81252\n38965 58355\n71060 100000\n95203 100000\n71335 100000\n94518 100000\n1730 2578\n14352 21440\n80781 100000\n11049 16490\n97736 100000\n21288 31842\n56799 85137\n17449 26084\n53223 79790\n21555 32245\n85974 100000\n19972 29858\n2761 4114\n50106 75113\n98118 100000\n13656 20409\n44953 67334\n80108 100000\n5483 8170\n13490 20173\n42630 63874\n91292 100000\n61888 92835\n44239 66289\n10565 15769\n69486 100000\n66185 99277\n34255 51250\n65505 98259\n16961 25344\n37923 56798\n15991 23914\n74345 100000\n52942 79383\n43217 64751\n39824 59659\n26834 40162\n3699 5500\n72635 100000\n27917 41751\n74224 100000\n98893 100000\n6809 10143\n94337 100000\n41946 62856\n59028 88478\n11691 17479\n3766 5599\n46451 69608\n37371 55975\n41975 62904\n85962 100000\n68967 100000\n41383 62014\n52428 78588\n57482 86153\n66117 99174\n90033 100000\n52171 78201\n83873 100000\n9973 14885\n96634 100000\n84993 100000\n59083 88560\n40473 60629\n52978 79439\n76689 100000\n39524 59220\n96640 100000\n89551 100000\n53913 80820\n68936 100000\n14009 20937\n88496 100000\n47147 70667\n48611 72850\n61403 92100\n76045 100000\n87983 100000\n19123 28596\n63505 95235\n64605 96876\n11443 17085\n6749 10047\n25573 38278\n43472 65153\n69099 100000\n8901 13272\n18527 27694\n96648 100000\n84389 100000\n92593 100000\n83540 100000\n76272 100000\n9368 13970\n97262 100000\n39533 59234\n98254 100000\n74754 100000\n58156 87173\n82638 100000\n45936 68816\n35268 52764\n2567 3847\n12150 18180\n63387 95062\n44155 66173\n30036 44924\n77928 100000\n43723 65524\n17481 26130\n65196 97774\n98006 100000\n12262 18349\n16897 25247\n35707 53436\n61449 92168\n30551 45694\n18189 27188\n32089 48017\n11587 17315\n84320 100000\n32940 49271\n55538 83238\n12452 18618\n2602 3896\n5674 8444\n78996 100000\n24132 36114\n19873 29718\n32538 48672\n69002 100000\n28565 42709\n72107 100000\n7724 11519\n74258 100000\n91860 100000\n20358 30434\n81212 100000\n22511 33691\n34219 51189\n95008 100000\n79659 100000\n89938 100000\n14842 22176\n6792 10117\n89766 100000\n38852 58192\n29263 43749\n44832 67143\n55360 82970\n98992 100000\n91360 100000\n27812 41598\n26597 39815\n55593 83316\n353 517\n69205 100000\n72184 100000\n88983 100000\n80027 100000\n60028 89997\n6203 9252\n36516 54678\n55996 83922\n12207 18261\n20212 30201\n5726 8523\n30817 46108\n94078 100000\n96641 100000\n68691 100000\n72206 100000\n53149 79680\n66119 99177\n84100 100000\n84910 100000\n15069 22513\n72718 100000\n38199 57208\n26821 40146\n36658 54899\n85037 100000\n82225 100000\n2825 4213\n44682 66932\n54965 82388\n80864 100000\n5138 7650\n81199 100000\n72805 100000\n50599 75837\n99395 100000\n72499 100000\n11532 17231\n15284 22833\n37683 56443\n76838 100000\n52866 79263\n95979 100000\n54364 81494\n89751 100000\n10981 16384\n46593 69816\n47648 71409\n43326 64925\n52314 78416\n90536 100000\n76186 100000\n22900 34287\n61378 92062\n18019 26933\n89842 100000\n49511 74221\n43503 65200\n10619 15844\n8860 13210\n536 800\n46859 70226\n48686 72960\n32001 47887\n29976 44840\n78153 100000\n49139 73654\n84795 100000\n20508 30664\n69272 100000\n86746 100000\n34391 51463\n15758 23558\n64091 96112\n43085 64566\n74093 100000\n18911 28276\n78098 100000\n31761 47526\n67270 100000\n27675 41398\n23444 35089\n91509 100000\n555 832\n45580 68280\n22891 34272\n32871 49166\n57000 85434\n61714 92573\n23477 35140\n96545 100000\n68477 100000\n13863 20720\n66347 99518\n12391 18533\n39268 58820\n81631 100000\n81712 100000\n24832 37174\n75910 100000\n23802 35618\n24869 37225\n29068 43463\n12653 18920\n19911 29769\n5582 8313\n26105 39071\n74149 100000\n21468 32110\n43283 64858\n11192 16704\n33868 50662\n2844 4242\n19130 28606\n72475 100000\n38013 56931\n87159 100000\n51106 76605\n35764 53526\n36770 55069\n74080 100000\n29519 44138\n55937 83838\n51217 76777\n34291 51306\n12437 18597\n18806 28115\n18102 27061\n7199 10734\n2427 3633\n59625 89385\n45407 68024\n23370 34981\n20002 29900\n32936 49263\n31968 47839\n35218 52692\n58572 87797\n99266 100000\n87974 100000\n26683 39945\n70690 100000\n76924 100000\n35647 53347\n26802 40120\n2478 3709\n52809 79176\n99863 100000\n71382 100000\n41119 61631\n57484 86156\n51226 76792\n72393 100000\n11828 17688\n77500 100000\n9292 13855\n6315 9417\n96929 100000\n96865 100000\n99324 100000\n15167 22656\n18894 28249\n95405 100000\n1938 2897\n18881 28231\n12394 18536\n92510 100000\n4317 6418\n41643 62399\n79881 100000\n1339 2003\n26391 39510\n95976 100000\n50741 76060\n17156 25631\n58217 87264\n74836 100000\n69180 100000\n57448 86101\n60465 90669\n12092 18095\n56053 84004\n97773 100000\n99316 100000\n86084 100000\n77485 100000\n26383 39500\n54491 81680\n85790 100000\n62714 94053\n8579 12787\n44988 67389\n26985 40386\n89166 100000\n53183 79727\n45780 68589\n89004 100000\n95498 100000\n99594 100000\n61001 91479\n20730 31002\n78759 100000\n55098 82578\n66643 99962\n10874 16225\n67259 100000\n41793 62621\n28347 42401\n48078 72064\n3177 4733\n11315 16891\n78277 100000\n65423 98134\n17188 25679\n86194 100000\n47047 70509\n17330 25895\n44611 66824\n87221 100000\n22294 33363\n51837 77704\n84605 100000\n69145 100000\n32748 48980\n33264 49758\n91136 100000\n15947 23847\n34362 51416\n70580 100000\n74419 100000\n76362 100000\n12498 18688\n77049 100000\n76450 100000\n99107 100000\n61163 91722\n5365 7991\n62524 93772\n14832 22161\n47110 70610\n64240 96329\n19886 29733\n98602 100000\n97746 100000\n1813 2708\n59677 89462\n62119 93178\n41923 62822\n51439 77107\n26820 40145\n98975 100000\n89969 100000\n94138 100000\n49826 74696\n33561 50200\n39033 58459\n23352 34956\n85994 100000\n97403 100000\n85505 100000\n87186 100000\n86031 100000\n33889 50693\n19630 29359\n31880 47706\n12543 18753\n75717 100000\n25816 38642\n64798 97168\n89855 100000\n95609 100000\n95575 100000\n82820 100000\n54863 82236\n12056 18043\n53101 79611\n26589 39801\n12795 19138\n49730 74548\n89615 100000\n52512 78716\n7910 11781\n28474 42584\n8813 13139\n15024 22449\n73789 100000\n27813 41599\n82824 100000\n11059 16501\n71535 100000\n84548 100000\n87837 100000\n19402 29015\n14164 21166\n49977 74926\n89165 100000\n68755 100000\n78917 100000\n9007 13433\n84202 100000\n62760 94122\n46832 70182\n75199 100000\n32118 48062\n61532 92289\n47813 71663\n17679 26428\n61310 91957\n68176 100000\n62950 94409\n96583 100000\n40175 60179\n75792 100000\n96163 100000\n27444 41055\n94318 100000\n91625 100000\n82672 100000\n42088 63072\n73666 100000\n5999 8937\n54373 81508\n30258 45257\n38249 57283\n41505 62200\n67587 100000\n30719 45956\n89000 100000\n40309 60386\n62892 94321\n81553 100000\n57704 86496\n88849 100000\n64360 96512\n730 1091\n10483 15651\n75448 100000\n52822 79196\n89892 100000\n48214 72263\n47744 71556\n3653 5431\n13011 19453\n88612 100000\n55295 82875\n11310 16884\n4862 7229\n4233 6297\n98257 100000\n84928 100000\n10284 15342\n76284 100000\n98046 100000\n7405 11047\n5162 7687\n64738 97075\n91696 100000\n6999 10437\n84251 100000\n42371 63491\n98176 100000\n62898 94329\n65627 98438\n97485 100000\n77128 100000\n60986 91456\n95865 100000\n68348 100000\n6039 8999\n1289 1934\n18702 27964\n94964 100000\n27961 41817\n1123 1680\n28262 42272\n5266 7843\n48718 73006\n35692 53415\n76139 100000\n69150 100000\n36240 54266\n41785 62610\n38587 57799\n77788 100000\n35032 52415\n90584 100000\n54522 81732\n48431 72581\n70731 100000\n17907 26774\n46191 69204\n64201 96273\n33002 49363\n85552 100000\n42988 64420\n15083 22534\n79838 100000\n90075 100000\n22166 33168\n42861 64221\n64297 96416\n78960 100000\n21313 31878\n55131 82625\n58611 87856\n37064 55505\n6317 9420\n39595 59318\n37534 56223\n69793 100000\n99046 100000\n59804 89660\n24210 36238\n55183 82705\n75611 100000\n24650 36904\n44605 66815\n23392 35013\n34293 51309\n89890 100000\n85411 100000\n21942 32830\n74626 100000\n47229 70792\n83009 100000\n53941 80863\n10547 15740\n66823 100000\n30972 46341\n49699 74501\n20753 31037\n51282 76875\n72883 100000\n97741 100000\n3441 5110\n98739 100000\n11558 17269\n43887 65775\n82222 100000\n34713 51933\n13846 20696\n94134 100000\n95215 100000\n34802 52063\n55765 83567\n38423 57556\n92936 100000\n60654 90961\n56582 84808\n51092 76587\n9268 13817\n44520 66691\n31755 47518\n40619 60864\n62945 94402\n88015 100000\n38738 58028\n31589 47268\n21626 32348\n39121 58595\n24414 36552\n75783 100000\n95303 100000\n20329 30391\n5914 8810\n96833 100000\n86914 100000\n43603 65351\n20621 30836\n5847 8708\n76679 100000\n44910 67266\n67216 100000\n64414 96597\n62995 94476\n43662 65433\n22204 33223\n67432 100000\n6789 10113\n81440 100000\n77653 100000\n21569 32265\n88335 100000\n315 465\n44328 66416\n2727 4067\n96844 100000\n42050 63014\n71129 100000\n34385 51455\n26885 40238\n67855 100000\n90931 100000\n51885 77771\n32836 49111\n39758 59555\n42191 63222\n66109 99162\n86132 100000\n1982 2971\n60758 91119\n81151 100000\n20201 30186\n90894 100000\n78991 100000\n76753 100000\n90077 100000\n17539 26215\n13506 20198\n7641 11395\n21185 31681\n51934 77848\n59288 88872\n2698 4027\n32824 49093\n67426 100000\n58977 88403\n27285 40823\n50090 75091\n67505 100000\n8478 12627\n74257 100000\n13723 20509\n87562 100000\n73870 100000\n68433 100000\n80313 100000\n29790 44557\n64867 97272\n48378 72504\n88578 100000\n73607 100000\n92524 100000\n59908 89809\n39249 58791\n33783 50534\n48777 73096\n59589 89325\n20429 30544\n8367 12457\n51100 76597\n47236 70803\n65610 98412\n56714 85008\n16717 24978\n2006 3005\n6484 9665\n87043 100000\n20599 30801\n23747 35536\n34169 51116\n65946 98913\n95785 100000\n69506 100000\n94658 100000\n69476 100000\n41916 62812\n6056 9025\n75615 100000\n24881 37243\n69848 100000\n6414 9560\n59209 88747\n797 1193\n79006 100000\n6998 10435\n47841 71708\n31468 47088\n8600 12815\n48289 72373\n30025 44912\n14363 21454\n49289 73877\n87034 100000\n32005 47892\n72017 100000\n56430 84578\n39906 59777\n50123 75135\n82001 100000\n76355 100000\n35964 53833\n88379 100000\n47777 71610\n94396 100000\n11080 16533\n82989 100000\n34263 51262\n90034 100000\n18573 27762\n85915 100000\n40520 60709\n53876 80767\n23725 35507\n12078 18075\n38409 57534\n7803 11623\n40334 60427\n85320 100000\n70721 100000\n61970 92958\n31412 46999\n44013 65957\n11877 17768\n78394 100000\n5227 7785\n35230 52709\n17251 25773\n39660 59410\n44343 66439\n80963 100000\n10262 15307\n43041 64503\n62589 93864\n3733 5555\n82390 100000\n82104 100000\n84048 100000\n61564 92337\n61803 92702\n82095 100000\n52742 79070\n83307 100000\n13372 19991\n99146 100000\n73209 100000\n27662 41376\n13231 19785\n91100 100000\n4270 6349\n16929 25296\n29964 44818\n85904 100000\n86258 100000\n13436 20093\n48663 72929\n36097 54046\n31958 47823\n62552 93811\n49533 74253\n13261 19825\n31267 46779\n49107 73605\n28741 42978\n29540 44169\n68183 100000\n39760 59558\n2694 4020\n97354 100000\n78510 100000\n67774 100000\n8991 13408\n85169 100000\n99080 100000\n90776 100000\n59499 89186\n25329 37912\n98239 100000\n7566 11279\n98140 100000\n79967 100000\n54126 81139\n69441 100000\n70088 100000\n37752 56542\n54455 81627\n8479 12629\n46240 69278\n49462 74146\n49508 74216\n4583 6814\n87545 100000\n75191 100000\n5663 8428\n30916 46263\n65623 98433\n37081 55535\n71289 100000\n76335 100000\n23115 34601\n41091 61586\n83515 100000\n44508 66676\n69826 100000\n43182 64697\n57711 86506\n61813 92716\n11085 16540\n13233 19787\n49552 74284\n45196 67706\n91485 100000\n71672 100000\n27575 41246\n91202 100000\n40528 60721\n34857 52141\n50499 75695\n81865 100000\n13708 20488\n98875 100000\n20371 30456\n11324 16904\n8197 12199\n35528 53175\n61154 91710\n19192 28696\n33142 49582\n49105 73602\n95735 100000\n74097 100000\n8398 12499\n81943 100000\n1366 2041\n28540 42673\n37175 55676\n97025 100000\n68368 100000\n12022 17989\n62889 94316\n84530 100000\n68894 100000\n88415 100000\n83157 100000\n6355 9475\n15920 23805\n42056 63023\n77479 100000\n53497 80194\n97110 100000\n55744 83534\n25104 37578\n18530 27699\n53446 80118\n92123 100000\n59562 89284\n1117 1672\n68689 100000\n99973 100000\n22917 34313\n54865 82240\n35527 53173\n49852 74734\n84200 100000\n85793 100000\n18609 27813\n51603 77353\n22785 34105\n8724 13000\n65631 98443\n7590 11316\n59205 88740\n72019 100000\n7861 11712\n62062 93095\n31156 46606\n97191 100000\n79219 100000\n49627 74397\n79971 100000\n91250 100000\n53601 80354\n37082 55536\n20743 31022\n43336 64940\n97314 100000\n30097 45015\n55835 83679\n51715 77523\n68015 100000\n40983 61427\n47654 71419\n87833 100000\n45809 68631\n1464 2189\n43159 64668\n67486 100000\n66227 99340\n23691 35459\n56460 84623\n13124 19627\n43979 65908\n25086 37553\n4900 7286\n62521 93768\n2784 4150\n33104 49522\n56292 84369\n77635 100000\n91401 100000\n35054 52446\n50711 76013\n9470 14124\n5944 8855\n33876 50672\n6396 9533\n15136 22614\n33735 50462\n48240 72300\n70490 100000\n98136 100000\n61689 92534\n67265 100000\n66142 99209\n23749 35538\n63509 95240\n82869 100000\n8892 13258\n24986 37400\n91337 100000\n60686 91010\n98809 100000\n76182 100000\n21050 31477\n24103 36069\n77937 100000\n9275 13827\n55490 83166\n14303 21368\n9460 14111\n79232 100000\n19308 28874\n83982 100000\n34106 51020\n15918 23802\n52103 78097\n80764 100000\n59551 89268\n90626 100000\n1254 1875\n29750 44494\n33180 49633\n16265 24318\n77598 100000\n1108 1660\n746 1115\n37652 56398\n68783 100000\n30783 46053\n69724 100000\n34065 50956\n78981 100000\n422 626\n60912 91346\n4532 6738\n55429 83076\n82442 100000\n63642 95430\n86767 100000\n23804 35622\n28271 42286\n6856 10217\n15812 23638\n35099 52509\n67879 100000\n72949 100000\n79499 100000\n74248 100000\n39815 59644\n8820 13149\n9909 14789\n50330 75446\n72726 100000\n75202 100000\n32239 48242\n18002 26910\n42352 63459\n8356 12437\n66614 99920\n77845 100000\n54230 81293\n66030 99040\n55072 82541\n96340 100000\n55253 82811\n18142 27119\n5549 8268\n39719 59498\n88539 100000\n98957 100000\n88351 100000\n15600 23318\n80050 100000\n2229 3335\n28910 43220\n40176 60181\n41743 62548\n52448 78618\n52721 79035\n83289 100000\n87794 100000\n13562 20280\n79672 100000\n42032 62990\n82353 100000\n35082 52486\n42750 64056\n83762 100000\n5208 7761\n10319 15397\n2598 3889\n97383 100000\n59673 89456\n88884 100000\n69768 100000\n91949 100000\n96541 100000\n5206 7758\n86519 100000\n21475 32120\n28130 42075\n896 1341\n84301 100000\n45445 68082\n66597 99893\n11100 16564\n17636 26357\n24838 37182\n58301 87395\n7320 10918\n72524 100000\n4634 6890\n15973 23889\n22864 34229\n13373 19993\n25538 38220\n36181 54176\n96155 100000\n3735 5557\n62734 94084\n93496 100000\n62044 93070\n65205 97788\n57738 86546\n74270 100000\n12137 18161\n74496 100000\n60933 91376\n91199 100000\n41028 61496\n33987 50840\n8362 12448\n24880 37242\n31319 46858\n2379 3562\n84847 100000\n82441 100000\n28303 42332\n64161 96216\n73618 100000\n62437 93643\n39578 59293\n31912 47752\n74860 100000\n64847 97244\n13019 19467\n52163 78188\n46108 69079\n90893 100000\n57418 86054\n59944 89866\n54940 82347\n4818 7165\n26402 39527\n12850 19217\n90261 100000\n21462 32101\n95819 100000\n94487 100000\n66752 100000\n58807 88156\n15849 23696\n50846 76218\n38889 58249\n36977 55374\n63257 94875\n8939 13331\n23924 35805\n73016 100000\n11383 16990\n30247 45243\n10781 16085\n37424 56052\n73731 100000\n11122 16595\n28924 43242\n16975 25366\n73446 100000\n75591 100000\n13705 20484\n96697 100000\n71318 100000\n55354 82962\n69913 100000\n83963 100000\n42488 63665\n58135 87142\n5762 8576\n87156 100000\n45220 67746\n78054 100000\n64431 96619\n10102 15080\n67408 100000\n55954 83862\n36385 54487\n55987 83910\n81334 100000\n96642 100000\n17316 25873\n55139 82637\n1786 2669\n85306 100000\n56702 84989\n40468 60623\n88078 100000\n9753 14554\n54329 81437\n49876 74770\n35696 53420\n47253 70825\n80881 100000\n70755 100000\n36634 54865\n77314 100000\n87253 100000\n5807 8646\n69176 100000\n71483 100000\n53330 79951\n19516 29187\n37869 56714\n10953 16346\n55231 82778\n56837 85194\n94312 100000\n23196 34718\n21127 31593\n92667 100000\n49998 74957\n27223 40739\n9676 14433\n7403 11044\n86050 100000\n92413 100000\n9138 13627\n3434 5099\n52421 78576\n54661 81927\n18941 28316\n97579 100000\n90037 100000\n51251 76829\n47881 71769\n10425 15570\n60026 89994\n96115 100000\n11159 16652\n94873 100000\n36261 54297\n97267 100000\n9163 13664\n70676 100000\n73473 100000\n32686 48887\n75475 100000\n5722 8515\n36965 55357\n50538 75756\n88357 100000\n62350 93520\n75271 100000\n2343 3508\n70948 100000\n74043 100000\n37266 55811\n6927 10326\n78034 100000\n72502 100000\n38535 57725\n14135 21121\n96251 100000\n79790 100000\n64405 96583\n84258 100000\n29463 44050\n21798 32608\n76022 100000\n20516 30676\n63111 94659\n19417 29034\n14071 21028\n8673 12922\n20196 30178\n50695 75988\n56503 84695\n93082 100000\n42845 64196\n17495 26148\n65607 98409\n77147 100000\n61028 91518\n88054 100000\n14167 21170\n64051 96056\n27055 40484\n70726 100000\n5360 7985\n64026 96018\n74601 100000\n29763 44516\n33661 50351\n9253 13795\n30250 45247\n52114 78113\n17982 26883\n70725 100000\n66262 99388\n11784 17622\n29238 43713\n25163 37660\n8984 13398\n3840 5705\n33342 49871\n44244 66294\n28550 42690\n20736 31011\n8377 12472\n12935 19342\n83970 100000\n57288 85854\n72014 100000\n46267 69317\n87017 100000\n26142 39135\n13086 19570\n96079 100000\n67076 100000\n54680 81957\n65440 98158\n59594 89333\n43058 64527\n95074 100000\n26753 40047\n80664 100000\n10949 16339\n18534 27706\n59533 89238\n96265 100000\n86237 100000\n75926 100000\n3075 4583\n72523 100000\n83573 100000\n84238 100000\n54011 80963\n29528 44150\n78987 100000\n87717 100000\n23345 34944\n89203 100000\n88367 100000\n38452 57602\n98250 100000\n82840 100000\n49561 74298\n77080 100000\n85806 100000\n24623 36866\n51594 77340\n93381 100000\n97111 100000\n30359 45405\n6812 10149\n30762 46020\n47455 71128\n9692 14456\n85108 100000\n22838 34188\n78288 100000\n96567 100000\n48971 73393\n96137 100000\n82811 100000\n10013 14949\n39132 58613\n60660 90969\n93216 100000\n69226 100000\n36256 54291\n39294 58858\n86040 100000\n90847 100000\n79927 100000\n87448 100000\n19776 29576\n47439 71103\n54464 81642\n85912 100000\n89056 100000\n12331 18443\n89422 100000\n30697 45918\n62605 93892\n1115 1669\n92575 100000\n81001 100000\n89357 100000\n19187 28687\n39946 59836\n25430 38064\n98858 100000\n56628 84880\n1831 2736\n87394 100000\n22933 34338\n5731 8532\n75382 100000\n96810 100000\n99796 100000\n73704 100000\n52269 78348\n96780 100000\n88764 100000\n72431 100000\n75446 100000\n3558 5288\n43392 65028\n26829 40156\n65661 98485\n484 722\n56138 84137\n99511 100000\n19152 28638\n87644 100000\n63839 95738\n6350 9468\n77226 100000\n59573 89298\n1455 2177\n41317 61913\n53068 79565\n61789 92680\n8168 12157\n35461 53068\n94151 100000\n57960 86878\n96860 100000\n71509 100000\n7040 10496\n668 998\n11840 17710\n5704 8489\n49275 73857\n22055 32997\n74504 100000\n2936 4386\n44613 66826\n66234 99348\n7308 10899\n83074 100000\n78964 100000\n9037 13481\n71316 100000\n7356 10969\n80450 100000\n95658 100000\n41261 61836\n34127 51053\n60552 90804\n70005 100000\n95383 100000\n18547 27726\n85520 100000\n27517 41164\n83805 100000\n92748 100000\n56881 85263\n56794 85129\n29194 43646\n53049 79539\n61955 92932\n67669 100000\n80125 100000\n39744 59535\n7992 11897\n20679 30925\n14898 22265\n18518 27680\n80422 100000\n50165 75196\n69996 100000\n33214 49681\n63799 95675\n91972 100000\n50027 74998\n19403 29016\n11384 16992\n80686 100000\n11081 16535\n45641 68377\n51622 77378\n57072 85545\n86058 100000\n80489 100000\n1853 2771\n33881 50681\n1321 1978\n63805 95687\n35544 53201\n8748 13032\n62285 93424\n54641 81898\n94164 100000\n14566 21762\n67592 100000\n48842 73196\n74128 100000\n35331 52856\n99969 100000\n25955 38851\n93633 100000\n57067 85536\n51377 77022\n65397 98092\n34758 51994\n38549 57744\n28761 43005\n71524 100000\n95946 100000\n61090 91614\n29160 43596\n16913 25268\n46631 69877\n8581 12789\n82463 100000\n93319 100000\n12253 18335\n25864 38713\n17096 25546\n75869 100000\n77054 100000\n27026 40442\n58912 88302\n27759 41519\n83018 100000\n32679 48877\n70634 100000\n99372 100000\n67469 100000\n5857 8723\n74515 100000\n60899 91325\n7144 10653\n75872 100000\n40452 60602\n54401 81548\n82259 100000\n97864 100000\n8132 12101\n95304 100000\n92275 100000\n55039 82495\n4204 6252\n64463 96668\n72948 100000\n54575 81807\n64684 96998\n56526 84731\n30270 45273\n70988 100000\n3536 5256\n30628 45817\n56206 84241\n22610 33840\n19953 29832\n35163 52606\n13179 19711\n91661 100000\n50851 76226\n47643 71402\n37893 56751\n97987 100000\n95849 100000\n19116 28586\n21611 32325\n89515 100000\n22616 33851\n93612 100000\n33070 49469\n30293 45310\n47908 71809\n30734 45981\n94020 100000\n8845 13187\n77571 100000\n90170 100000\n53495 80191\n48570 72791\n42732 64027\n74907 100000\n71457 100000\n15338 22916\n44507 66674\n90666 100000\n79307 100000\n82697 100000\n9397 14014\n8123 12087\n31918 47760\n22230 33263\n75504 100000\n12848 19214\n8915 13296\n77263 100000\n51561 77294\n17013 25419\n58059 87029\n5063 7543\n47964 71895\n8626 12854\n93679 100000\n77009 100000\n96216 100000\n69361 100000\n61775 92661\n71710 100000\n14322 21398\n16619 24834\n77639 100000\n29592 44251\n93780 100000\n7911 11782\n71231 100000\n67935 100000\n11452 17100\n62845 94253\n46383 69498\n70283 100000\n57214 85747\n59344 88952\n49466 74153\n83049 100000\n36959 55347\n91651 100000\n10202 15221\n84709 100000\n28008 41889\n90492 100000\n54890 82271\n4057 6025\n16615 24830\n40100 60070\n64730 97064\n44217 66259\n79786 100000\n65414 98120\n46072 69027\n68520 100000\n43235 64780\n12314 18421\n91536 100000\n86199 100000\n78274 100000\n9931 14824\n72365 100000\n83649 100000\n13367 19984\n45731 68512\n65851 98769\n14722 21996\n70119 100000\n68124 100000\n93660 100000\n10758 16048\n425 631\n87813 100000\n35034 52418\n66988 100000\n24354 36457\n21245 31777\n81592 100000\n24738 37033\n64298 96417\n53464 80146\n18962 28349\n96296 100000\n11326 16908\n40280 60342\n7636 11386\n99943 100000\n64363 96516\n58436 87594\n46670 69935\n83470 100000\n17247 25765\n5915 8812\n13541 20246\n96689 100000\n75549 100000\n41159 61691\n91140 100000\n21900 32770\n32570 48716\n40839 61213\n47391 71031\n60696 91025\n43320 64915\n99223 100000\n22144 33135\n52739 79064\n18796 28098\n16884 25229\n75816 100000\n59060 88526\n5910 8806\n74812 100000\n7782 11596\n7524 11220\n36472 54612\n7653 11412\n22452 33603\n43741 65553\n63268 94892\n48749 73051\n65980 98966\n89977 100000\n43726 65529\n80323 100000\n64147 96195\n89022 100000\n2292 3429\n66213 99319\n77138 100000\n17487 26137\n53161 79697\n33186 49642\n71545 100000\n54590 81828\n84437 100000\n37451 56095\n91483 100000\n69072 100000\n3289 4898\n28619 42790\n65488 98233\n31693 47421\n66083 99124\n79387 100000\n94081 100000\n92077 100000\n15635 23369\n62815 94208\n95086 100000\n15665 23420\n40585 60817\n57883 86758\n47425 71081\n10241 15279\n15132 22608\n32047 47954\n73757 100000\n14654 21895\n86467 100000\n66078 99115\n89288 100000\n18893 28248\n16722 24985\n98687 100000\n12717 19016\n69244 100000\n82345 100000\n9775 14584\n33494 50102\n40331 60421\n94483 100000\n88541 100000\n17641 26363\n6879 10255\n37540 56232\n48275 72355\n44671 66914\n72672 100000\n18861 28202\n3769 5604\n36199 54205\n77299 100000\n40327 60415\n82197 100000\n91731 100000\n93117 100000\n66490 99731\n53907 80810\n53676 80467\n21585 32287\n88424 100000\n96746 100000\n69388 100000\n27856 41664\n49844 74724\n55026 82476\n33507 50122\n34644 51828\n61012 91496\n35617 53306\n94970 100000\n843 1264\n90574 100000\n38799 58115\n25363 37962\n83120 100000\n88663 100000\n21935 32820\n12712 19008\n47568 71295\n13255 19816\n49915 74831\n45833 68663\n21766 32555\n83121 100000\n16649 24879\n62014 93022\n91253 100000\n33711 50426\n49962 74901\n39260 58809\n44987 67388\n1955 2927\n90786 100000\n73169 100000\n59821 89687\n28893 43197\n16245 24290\n62007 93011\n65901 98839\n77268 100000\n81210 100000\n42868 64231\n82242 100000\n34292 51307\n66241 99358\n19377 28980\n68785 100000\n8395 12496\n56543 84756\n42547 63755\n768 1148\n77933 100000\n25609 38330\n28846 43128\n54947 82360\n17603 26308\n53135 79659\n80934 100000\n69075 100000\n33913 50732\n57739 86548\n22825 34167\n41052 61534\n58106 87096\n81719 100000\n17893 26757\n18080 27028\n85562 100000\n56949 85359\n63239 94848\n64602 96871\n77463 100000\n63809 95693\n98797 100000\n38327 57404\n85506 100000\n94034 100000\n80746 100000\n60767 91133\n69084 100000\n54461 81638\n39746 59539\n18143 27120\n64650 96946\n86681 100000\n70738 100000\n52578 78813\n53800 80656\n41168 61706\n12020 17985\n58129 87132\n45639 68374\n27614 41307\n97295 100000\n8805 13127\n9559 14264\n48555 72768\n45246 67785\n21986 32894\n83742 100000\n8477 12626\n56713 85006\n45438 68070\n80162 100000\n13877 20742\n17367 25955\n99675 100000\n27636 41342\n27195 40696\n46071 69026\n7706 11495\n23124 34614\n26136 39123\n23164 34669\n97136 100000\n30394 45459\n81421 100000\n50064 75054\n97618 100000\n97717 100000\n91922 100000\n86890 100000\n29241 43717\n20654 30890\n64592 96856\n76920 100000\n4511 6710\n83763 100000\n37795 56606\n81935 100000\n37486 56151\n25704 38475\n50760 76088\n57570 86281\n3059 4560\n27129 40602\n77843 100000\n42419 63565\n48263 72337\n40998 61447\n47061 70532\n13317 19914\n14474 21621\n80425 100000\n5342 7956\n80722 100000\n81629 100000\n35045 52433\n74677 100000\n41619 62365\n17507 26165\n81743 100000\n36503 54656\n75184 100000\n51414 77075\n44150 66165\n20351 30424\n45614 68334\n53607 80362\n9323 13899\n88525 100000\n36825 55154\n44708 66969\n1688 2517\n97679 100000\n2836 4231\n39402 59030\n26265 39318\n73936 100000\n99801 100000\n58373 87499\n31234 46725\n27484 41116\n42713 63999\n32165 48132\n10043 14994\n98904 100000\n59192 88722\n68352 100000\n8791 13101\n67872 100000\n79877 100000\n85275 100000\n36313 54374\n88923 100000\n5511 8211\n74514 100000\n86754 100000\n80735 100000\n58374 87500\n430 639\n36883 55238\n42106 63099\n93304 100000\n32224 48221\n61595 92385\n27101 40556\n19077 28523\n73512 100000\n42264 63331\n38790 58103\n83683 100000\n11615 17361\n69063 100000\n3681 5473\n11207 16727\n55660 83410\n77525 100000\n78885 100000\n63837 95734\n41615 62359\n35784 53557\n47822 71679\n4560 6777\n35552 53210\n51500 77195\n58715 88012\n51944 77861\n23047 34503\n90473 100000\n5721 8513\n46902 70290\n92338 100000\n68591 100000\n57502 86184\n41415 62065\n30747 46000\n2047 3068\n61577 92356\n18122 27090\n84682 100000\n27219 40734\n884 1324\n446 665\n61165 91726\n74083 100000\n63913 95854\n6361 9482\n3451 5124\n74838 100000\n51802 77651\n48095 72091\n99810 100000\n69112 100000\n7528 11226\n66967 100000\n86138 100000\n64446 96644\n66681 100000\n96835 100000\n27278 40813\n19011 28427\n36923 55294\n43636 65399\n70671 100000\n41016 61474\n13270 19841\n41864 62733\n69501 100000\n242 359\n28835 43114\n16955 25336\n33982 50834\n22689 33958\n85688 100000\n35220 52695\n2302 3445\n26070 39017\n35852 53663\n20055 29975\n13568 20290\n84415 100000\n69253 100000\n80965 100000\n68329 100000\n18090 27041\n69949 100000\n46652 69908\n87507 100000\n97816 100000\n82143 100000\n96214 100000\n34625 51800\n35129 52558\n54470 81649\n51935 77849\n10020 14961\n8747 13031\n97337 100000\n53602 80356\n67007 100000\n46026 68962\n19027 28449\n59718 89525\n29405 43962\n77909 100000\n22118 33097\n36009 53901\n50021 74991\n24737 37031\n4958 7375\n50340 75463\n2176 3260\n83373 100000\n90985 100000\n73438 100000\n33187 49644\n42626 63867\n14081 21041\n5975 8897\n9844 14696\n42025 62979\n27990 41859\n34856 52140\n79874 100000\n85328 100000\n41039 61512\n65882 98814\n45671 68421\n33601 50260\n82536 100000\n40381 60495\n65450 98172\n23675 35437\n90667 100000\n43984 65916\n15270 22815\n2082 3123\n41433 62093\n28879 43182\n24293 36359\n90447 100000\n11917 17822\n31457 47069\n34551 51693\n41758 62571\n76177 100000\n34113 51033\n50557 75782\n73875 100000\n13013 19457\n31307 46838\n55061 82525\n72584 100000\n42295 63378\n98801 100000\n81737 100000\n65611 98414\n88142 100000\n8439 12562\n25991 38903\n59066 88534\n56121 84109\n7273 10842\n38646 57886\n85140 100000\n36621 54845\n8882 13245\n86888 100000\n86073 100000\n28608 42772\n6575 9797\n27220 40736\n97507 100000\n63994 95976\n74724 100000\n86989 100000\n45913 68782\n30772 46037\n20470 30603\n39814 59643\n57669 86439\n44645 66871\n52640 78908\n12578 18805\n9079 13538\n63014 94505\n18994 28398\n41351 61964\n17802 26616\n61115 91648\n43004 64443\n79959 100000\n89571 100000\n44375 66480\n11853 17731\n99846 100000\n54077 81063\n84762 100000\n90067 100000\n37389 56003\n58987 88417\n53020 79502\n28870 43166\n52531 78742\n49950 74882\n44780 67071\n17063 25493\n38278 57328\n9787 14603\n67750 100000\n76889 100000\n7637 11388\n96004 100000\n87992 100000\n15615 23342\n93566 100000\n96258 100000\n49346 73968\n87683 100000\n58984 88413\n31029 46422\n50725 76036\n95210 100000\n61794 92687\n64617 96897\n2680 4004\n38092 57055\n44398 66513\n62554 93814\n13041 19500\n26176 39182\n8334 12406\n55169 82682\n73057 100000\n94302 100000\n15707 23478\n78678 100000\n29487 44087\n32710 48919\n59733 89549\n38108 57076\n2114 3170\n57731 86537\n65668 98495\n18187 27185\n12063 18055\n9276 13829\n48725 73016\n15387 22987\n30245 45239\n87345 100000\n72981 100000\n61066 91578\n5680 8451\n99299 100000\n65295 97930\n25136 37622\n14495 21654\n80779 100000\n77560 100000\n76156 100000\n39541 59244\n46892 70274\n68877 100000\n7038 10492\n40469 60624\n60623 90911\n86600 100000\n42724 64015\n99583 100000\n27305 40853\n71017 100000\n25236 37773\n68539 100000\n18755 28041\n30778 46045\n90618 100000\n61628 92435\n49059 73529\n25138 37624\n48499 72686\n24676 36942\n55125 82615\n56332 84430\n43700 65492\n70196 100000\n97981 100000\n30238 45228\n86054 100000\n43559 65281\n67928 100000\n50809 76163\n36422 54538\n30998 46378\n83395 100000\n46360 69461\n6014 8962\n84895 100000\n60203 90270\n61934 92901\n49345 73966\n85610 100000\n85768 100000\n75683 100000\n14544 21725\n92431 100000\n45535 68215\n93297 100000\n66412 99618\n49052 73518\n29516 44133\n47530 71241\n82747 100000\n77759 100000\n84708 100000\n50156 75185\n82075 100000\n98932 100000\n45980 68886\n52707 79013\n64563 96815\n36548 54730\n25096 37566\n19865 29708\n70089 100000\n66257 99381\n44767 67052\n99020 100000\n20095 30034\n14983 22389\n38543 57738\n6608 9841\n88279 100000\n84132 100000\n20061 29984\n3191 4755\n3572 5310\n35245 52732\n81452 100000\n29698 44419\n49716 74527\n12584 18815\n74429 100000\n39675 59430\n60012 89972\n5916 8814\n57884 86760\n90516 100000\n39194 58710\n73038 100000\n48108 72110\n20737 31013\n31813 47608\n93134 100000\n2444 3657\n26329 39417\n8301 12355\n20851 31182\n9522 14203\n97101 100000\n1926 2881\n53694 80495\n63782 95651\n95195 100000\n33815 50582\n38558 57758\n72843 100000\n26669 39926\n82516 100000\n56690 84972\n43386 65019\n96819 100000\n28685 42890\n18497 27648\n87019 100000\n55485 83158\n74805 100000\n71897 100000\n80721 100000\n37939 56819\n31644 47346\n38973 58368\n23598 35320\n28693 42902\n19357 28951\n63418 95109\n2943 4394\n45771 68576\n26169 39173\n38888 58248\n85742 100000\n10661 15901\n91487 100000\n18541 27717\n65891 98823\n29141 43565\n48179 72217\n61659 92486\n27681 41406\n33681 50382\n40628 60878\n15558 23255\n44006 65947\n87370 100000\n8503 12667\n96294 100000\n30727 45969\n58909 88298\n41575 62299\n13346 19958\n9280 13837\n45588 68293\n90102 100000\n51136 76652\n78426 100000\n56832 85187\n69009 100000\n93625 100000\n15444 23080\n98405 100000\n88395 100000\n61981 92972\n40987 61431\n3777 5615\n63303 94945\n615 918\n91143 100000\n41259 61833\n86266 100000\n78535 100000\n27221 40737\n82439 100000\n65523 98283\n23472 35131\n79117 100000\n74447 100000\n33255 49743\n19535 29215\n94392 100000\n43725 65528\n61607 92406\n31225 46709\n63657 95452\n64257 96355\n71397 100000\n46854 70218\n84502 100000\n53590 80337\n33171 49622\n92749 100000\n88303 100000\n11820 17675\n83175 100000\n11281 16842\n65351 98022\n8596 12811\n96753 100000\n99202 100000\n51542 77262\n38935 58308\n69334 100000\n94905 100000\n82905 100000\n93407 100000\n30496 45611\n3271 4875\n43221 64757\n37182 55684\n56989 85416\n13938 20829\n12497 18686\n4135 6148\n77435 100000\n97261 100000\n92851 100000\n88901 100000\n73767 100000\n86099 100000\n35602 53282\n95964 100000\n30674 45885\n82551 100000\n71055 100000\n73076 100000\n33671 50367\n10631 15862\n44642 66866\n67897 100000\n24437 36584\n7062 10526\n77274 100000\n61810 92713\n70401 100000\n32250 48260\n55041 82498\n19127 28602\n83569 100000\n47542 71260\n65012 97490\n93359 100000\n48091 72084\n44147 66160\n24605 36839\n85161 100000\n89548 100000\n7142 10650\n76794 100000\n61527 92283\n93424 100000\n84463 100000\n74059 100000\n43516 65218\n81540 100000\n60493 90713\n57106 85593\n45946 68832\n18888 28241\n1887 2826\n77713 100000\n16891 25239\n96144 100000\n24407 36542\n57368 85978\n70394 100000\n39074 58523\n12325 18436\n29280 43772\n29577 44225\n23911 35786\n60053 90040\n52440 78608\n75639 100000\n29293 43793\n23413 35044\n8705 12969\n72535 100000\n52220 78276\n40885 61279\n6492 9675\n9418 14045\n20891 31240\n47022 70474\n82022 100000\n36185 54182\n62612 93905\n46484 69658\n31254 46757\n65579 98367\n93976 100000\n39972 59879\n95247 100000\n93675 100000\n53078 79577\n43732 65539\n58416 87566\n42054 63020\n17546 26225\n59873 89760\n70376 100000\n89683 100000\n50556 75781\n40593 60827\n46385 69501\n90866 100000\n55376 82996\n90312 100000\n38695 57960\n93293 100000\n61217 91803\n74074 100000\n16528 24706\n52949 79392\n49773 74616\n58447 87611\n19661 29401\n46432 69579\n44617 66831\n83951 100000\n70675 100000\n40639 60894\n88756 100000\n97055 100000\n69962 100000\n6894 10278\n81714 100000\n28895 43201\n19859 29698\n88085 100000\n90828 100000\n45618 68341\n27511 41157\n20857 31190\n49316 73917\n74973 100000\n800 1198\n30978 46350\n39694 59461\n67677 100000\n56005 83937\n17321 25881\n41155 61684\n75667 100000\n61304 91947\n33885 50687\n65259 97872\n37813 56629\n9031 13471\n94347 100000\n99133 100000\n80816 100000\n1721 2566\n89430 100000\n10691 15946\n9122 13603\n77726 100000\n7658 11419\n80884 100000\n24246 36293\n3543 5266\n18709 27973\n63547 95298\n2022 3029\n15911 23790\n95731 100000\n56723 85023\n29604 44270\n78217 100000\n20724 30993\n1134 1697\n65267 97883\n38533 57723\n7372 10994\n87517 100000\n70416 100000\n89762 100000\n45767 68570\n2816 4199\n41539 62253\n42335 63434\n50818 76176\n40333 60425\n30325 45352\n43298 64883\n10902 16267\n37215 55735\n664 993\n55929 83827\n29438 44013\n47720 71517\n70359 100000\n4904 7292\n53213 79774\n89457 100000\n44754 67035\n52546 78764\n56985 85409\n11242 16781\n7015 10459\n5114 7615\n81856 100000\n60133 90163\n67730 100000\n42516 63707\n74789 100000\n58387 87521\n28855 43143\n10925 16301\n96653 100000\n40216 60246\n7196 10730\n63412 95100\n21929 32812\n87195 100000\n32042 47945\n65605 98407\n49685 74484\n83270 100000\n38998 58406\n50778 76116\n27708 41445\n95055 100000\n53198 79752\n65909 98851\n31967 47837\n6966 10385\n58243 87302\n8854 13200\n98306 100000\n93094 100000\n79236 100000\n50785 76128\n1277 1913\n89032 100000\n52180 78216\n24182 36193\n4731 7032\n59387 89014\n27870 41683\n7969 11864\n57435 86081\n46737 70038\n45579 68278\n52054 78026\n31534 47187\n91947 100000\n71308 100000\n17961 26848\n48508 72700\n70578 100000\n49738 74559\n22413 33544\n20275 30301\n49464 74149\n80030 100000\n19165 28656\n92654 100000\n26002 38918\n36211 54223\n27718 41458\n36724 54999\n14998 22412\n42890 64266\n3363 4998\n60578 90843\n64949 97394\n47392 71032\n41751 62561\n97984 100000\n34622 51797\n54236 81302\n97044 100000\n65632 98445\n97665 100000\n96370 100000\n10454 15612\n48215 72265\n35687 53407\n3649 5425\n29979 44844\n58312 87412\n62729 94078\n96687 100000\n87960 100000\n65424 98136\n91318 100000\n53298 79903\n62577 93851\n13933 20822\n50012 74979\n92712 100000\n56280 84351\n83265 100000\n17284 25823\n53540 80255\n83669 100000\n76477 100000\n48218 72268\n57595 86322\n95882 100000\n80836 100000\n75074 100000\n93299 100000\n26574 39782\n96975 100000\n94468 100000\n16893 25241\n73447 100000\n97639 100000\n53164 79700\n59229 88776\n55204 82737\n95084 100000\n45188 67693\n97045 100000\n17275 25809\n95633 100000\n81798 100000\n82025 100000\n95233 100000\n1655 2461\n45462 68107\n53737 80561\n96843 100000\n74568 100000\n45956 68846\n57432 86076\n3205 4776\n11343 16933\n26251 39297\n41364 61985\n81887 100000\n63501 95228\n34841 52119\n2666 3988\n71701 100000\n5735 8537\n38977 58375\n79081 100000\n89443 100000\n60149 90184\n53378 80020\n12562 18781\n58893 88277\n74801 100000\n78649 100000\n40158 60156\n69973 100000\n41795 62624\n71883 100000\n71368 100000\n25999 38914\n9185 13696\n98135 100000\n25261 37811\n32819 49085\n84808 100000\n37550 56245\n45643 68379\n13764 20578\n85777 100000\n33505 50118\n67990 100000\n39395 59020\n16447 24579\n70249 100000\n33896 50703\n751 1122\n15515 23187\n87414 100000\n5423 8080\n49354 73980\n36661 54904\n64757 97103\n38496 57665\n90668 100000\n74376 100000\n99704 100000\n2250 3365\n13561 20278\n44486 66639\n96156 100000\n93490 100000\n96817 100000\n94230 100000\n60606 90884\n87032 100000\n85555 100000\n42987 64418\n32116 48060\n34586 51747\n1448 2168\n40898 61301\n42776 64090\n69824 100000\n12248 18326\n28090 42013\n91003 100000\n68359 100000\n42967 64389\n85987 100000\n64035 96030\n47980 71917\n82908 100000\n75637 100000\n51103 76600\n6156 9183\n61417 92120\n91975 100000\n1447 2166\n66073 99106\n18298 27352\n7288 10867\n62428 93631\n46255 69302\n96695 100000\n78398 100000\n2090 3135\n70095 100000\n160 236\n88770 100000\n21374 31966\n92520 100000\n41400 62044\n29819 44604\n91588 100000\n29268 43755\n33761 50502\n14116 21093\n46189 69201\n12560 18779\n13791 20618\n74335 100000\n1958 2932\n35074 52473\n7415 11061\n36975 55371\n70954 100000\n18629 27845\n32677 48874\n4490 6680\n46459 69619\n92063 100000\n94133 100000\n1337 2000\n37507 56182\n88191 100000\n95899 100000\n39169 58669\n62784 94158\n78980 100000\n63136 94692\n13004 19443\n55844 83695\n39108 58573\n49502 74207\n32803 49062\n46686 69961\n60347 90493\n45735 68519\n2758 4110\n87823 100000\n46070 69025\n48318 72413\n25390 38002\n46467 69631\n40957 61386\n18192 27192\n38964 58353\n76519 100000\n1430 2141\n1741 2594\n84837 100000\n41109 61616\n37625 56357\n14612 21829\n70231 100000\n57984 86909\n752 1124\n29765 44519\n57366 85974\n34040 50920\n91018 100000\n89367 100000\n97185 100000\n91841 100000\n97159 100000\n44560 66750\n69120 100000\n62649 93959\n78512 100000\n85225 100000\n12791 19130\n53170 79708\n80761 100000\n37467 56122\n61526 92281\n80620 100000\n60755 91115\n40389 60506\n3731 5552\n67276 100000\n7893 11757\n49556 74290\n26147 39143\n22402 33530\n16138 24128\n8667 12913\n87120 100000\n76282 100000\n5708 8494\n87040 100000\n52762 79101\n4319 6421\n35248 52735\n99535 100000\n91811 100000\n29872 44678\n23251 34804\n77584 100000\n77902 100000\n66658 99983\n77354 100000\n85841 100000\n29514 44130\n87332 100000\n93557 100000\n55325 82918\n90681 100000\n32683 48883\n9608 14333\n77326 100000\n98212 100000\n35940 53800\n94044 100000\n90544 100000\n81646 100000\n46824 70172\n41270 61849\n86430 100000\n93799 100000\n77097 100000\n48000 71945\n45354 67948\n52715 79026\n47681 71462\n99550 100000\n70329 100000\n73843 100000\n90898 100000\n94442 100000\n40197 60215\n45460 68104\n66141 99207\n14339 21421\n75132 100000\n48257 72327\n78899 100000\n23443 35087\n54409 81557\n20205 30193\n43226 64765\n67984 100000\n1884 2821\n59761 89592\n85123 100000\n15666 23421\n69807 100000\n50457 75633\n28567 42713\n50679 75961\n60417 90598\n67899 100000\n78609 100000\n15907 23782\n19290 28845\n87001 100000\n44256 66313\n27887 41707\n66430 99641\n28224 42214\n64068 96079\n97811 100000\n79770 100000\n61576 92354\n44531 66708\n27181 40676\n6336 9448\n36973 55369\n87789 100000\n47452 71123\n55194 82722\n35060 52455\n70356 100000\n87701 100000\n67478 100000\n2435 3644\n66414 99622\n58215 87260\n71812 100000\n58193 87227\n90531 100000\n38687 57947\n7162 10682\n22698 33970\n5204 7754\n53059 79552\n50168 75201\n38159 57150\n15622 23352\n27499 41137\n86566 100000\n56618 84863\n18868 28213\n72775 100000\n3502 5203\n27744 41499\n24568 36784\n73465 100000\n48800 73135\n9399 14016\n98964 100000\n45477 68131\n78406 100000\n21918 32795\n15483 23139\n52295 78385\n46814 70155\n17800 26612\n27136 40614\n31697 47429\n5073 7556\n37328 55911\n40979 61420\n84084 100000\n59817 89683\n91065 100000\n73869 100000\n13816 20653\n23315 34906\n2631 3940\n56689 84970\n37737 56522\n64478 96686\n36457 54591\n67834 100000\n66924 100000\n83777 100000\n41794 62622\n18835 28160\n89643 100000\n64315 96444\n98481 100000\n60044 90025\n28416 42503\n6290 9380\n39915 59790\n75154 100000\n65677 98510\n65782 98668\n83767 100000\n94428 100000\n32602 48762\n82339 100000\n75020 100000\n36868 55220\n22208 33230\n92669 100000\n8117 12080\n23187 34705\n23359 34966\n33391 49946\n93043 100000\n22630 33872\n58425 87579\n97818 100000\n13959 20861\n4766 7083\n76346 100000\n13105 19599\n63957 95920\n47485 71170\n1374 2055\n44448 66588\n59496 89181\n6523 9722\n84486 100000\n60475 90686\n52760 79097\n66790 100000\n64595 96861\n17954 26840\n47122 70628\n50431 75595\n47358 70985\n12334 18448\n14505 21670\n19866 29709\n92809 100000\n12925 19329\n78619 100000\n93014 100000\n13882 20750\n66249 99369\n35314 52829\n83037 100000\n93835 100000\n49779 74624\n83610 100000\n83932 100000\n75878 100000\n8262 12296\n83269 100000\n66101 99151\n28745 42984\n68401 100000\n64042 96042\n27825 41619\n38775 58079\n12009 17968\n57201 85729\n91965 100000\n85494 100000\n75777 100000\n25758 38551\n40196 60213\n81707 100000\n30189 45157\n35929 53782\n62217 93324\n40970 61408\n91254 100000\n70927 100000\n3396 5048\n81478 100000\n49210 73762\n9924 14815\n59846 89722\n55734 83519\n67226 100000\n94539 100000\n47028 70483\n90688 100000\n613 915\n16554 24742\n43997 65931\n74517 100000\n30714 45948\n65019 97499\n86568 100000\n22562 33768\n26706 39977\n17076 25512\n95099 100000\n7955 11844\n23620 35352\n93155 100000\n13289 19869\n58211 87255\n16470 24616\n74146 100000\n16694 24944\n11572 17289\n85173 100000\n50370 75507\n32075 47995\n76978 100000\n50066 75057\n64898 97320\n38690 57950\n46025 68960\n61390 92079\n31558 47222\n32963 49305\n79000 100000\n25014 37443\n3486 5178\n58163 87183\n99753 100000\n36450 54580\n72061 100000\n86937 100000\n81318 100000\n59248 88806\n43255 64812\n47845 71714\n19567 29265\n70305 100000\n65210 97796\n6516 9711\n37742 56529\n20378 30466\n25829 38660\n28360 42421\n83563 100000\n89736 100000\n4210 6263\n4717 7009\n62317 93472\n6687 9955\n27831 41628\n19032 28455\n76655 100000\n15969 23883\n6530 9734\n47063 70535\n97805 100000\n16434 24559\n15148 22630\n780 1168\n89852 100000\n16714 24974\n43082 64562\n69036 100000\n24032 35965\n38172 57167\n47574 71305\n56535 84744\n44429 66558\n24698 36973\n12889 19275\n14247 21285\n50124 75137\n97791 100000\n13817 20655\n10980 16382\n41475 62157\n167 248\n58045 87006\n16586 24786\n90949 100000\n88227 100000\n38899 58262\n67712 100000\n82917 100000\n64863 97268\n47622 71375\n86741 100000\n11541 17243\n32327 48372\n10398 15525\n41043 61519\n24013 35936\n4873 7245\n70551 100000\n50353 75482\n52807 79172\n38363 57462\n65626 98437\n45745 68535\n21545 32228\n12428 18586\n70547 100000\n60608 90887\n99703 100000\n67054 100000\n32991 49343\n65147 97700\n75564 100000\n10614 15839\n52452 78625\n55953 83861\n36819 55145\n4025 5978\n24886 37250\n26119 39096\n92090 100000\n78627 100000\n2925 4367\n20951 31330\n13471 20145\n68809 100000\n97923 100000\n53784 80629\n61868 92800\n33053 49444\n27321 40879\n72374 100000\n69633 100000\n99482 100000\n40899 61302\n74723 100000\n47145 70663\n754 1128\n60436 90626\n85991 100000\n12297 18400\n35556 53215\n64019 96008\n21225 31742\n368 540\n20909 31267\n66138 99202\n47713 71508\n11806 17653\n71814 100000\n80088 100000\n19241 28774\n3601 5350\n16047 23993\n99824 100000\n65203 97785\n53549 80270\n4224 6286\n88167 100000\n24911 37286\n55667 83420\n10796 16106\n91825 100000\n4642 6903\n56843 85204\n5413 8066\n30194 45163\n25444 38084\n41579 62305\n35391 52951\n93440 100000\n22226 33256\n67112 100000\n48939 73347\n97897 100000\n51992 77935\n75396 100000\n15890 23758\n68340 100000\n91039 100000\n804 1203\n39678 59435\n20772 31069\n24829 37170\n81761 100000\n99785 100000\n58067 87038\n28414 42500\n61654 92476\n56517 84717\n63676 95483\n27946 41793\n75243 100000\n51501 77197\n78479 100000\n8350 12428\n39036 58464\n23466 35122\n66125 99186\n30565 45715\n59700 89500\n81692 100000\n83601 100000\n82671 100000\n90320 100000\n74354 100000\n34797 52056\n1384 2070\n90583 100000\n44021 65967\n12835 19196\n44648 66875\n62475 93696\n56921 85321\n82665 100000\n52799 79161\n14070 21026\n22778 34095\n93279 100000\n9618 14346\n94522 100000\n28300 42327\n87303 100000\n72551 100000\n83155 100000\n74251 100000\n75523 100000\n4924 7325\n29888 44703\n24714 36997\n30748 46001\n70501 100000\n23817 35646\n94544 100000\n59348 88958\n77773 100000\n46505 69688\n67387 100000\n38255 57292\n17979 26878\n30376 45430\n42445 63605\n65912 98855\n41179 61725\n60870 91282\n58509 87706\n90215 100000\n84813 100000\n15376 22972\n68850 100000\n16889 25236\n13856 20708\n41854 62717\n18351 27435\n82557 100000\n54817 82166\n63444 95147\n60082 90084\n47021 70473\n60126 90151\n4434 6596\n23926 35809\n16038 23979\n26482 39645\n43259 64820\n63067 94588\n41343 61952\n85556 100000\n35065 52462\n19099 28560\n6483 9663\n79276 100000\n63591 95359\n86515 100000\n69026 100000\n23191 34710\n25222 37756\n80617 100000\n62476 93697\n340 501\n20739 31015\n21685 32439\n29748 44490\n1033 1547\n71214 100000\n85650 100000\n46063 69017\n69449 100000\n96178 100000\n7685 11460\n51943 77860\n63050 94561\n96055 100000\n99139 100000\n860 1288\n21781 32577\n14639 21871\n83136 100000\n14550 21735\n18208 27215\n61733 92602\n91317 100000\n71057 100000\n58536 87745\n81567 100000\n82843 100000\n72657 100000\n82362 100000\n87035 100000\n33662 50353\n53923 80835\n1100 1646\n87062 100000\n89753 100000\n52361 78482\n8681 12935\n91926 100000\n36036 53942\n6003 8943\n20529 30693\n88274 100000\n86514 100000\n79194 100000\n10872 16221\n11244 16785\n94880 100000\n2937 4387\n55790 83607\n37979 56877\n80147 100000\n92707 100000\n11629 17384\n67853 100000\n91845 100000\n33443 50022\n79534 100000\n91404 100000\n45320 67897\n60510 90737\n35094 52503\n51627 77386\n27711 41448\n11686 17469\n60080 90081\n97431 100000\n61524 92277\n86191 100000\n85211 100000\n22130 33116\n3143 4680\n69080 100000\n88430 100000\n795 1191\n73705 100000\n80483 100000\n53011 79488\n24700 36976\n30454 45548\n87057 100000\n42748 64052\n71889 100000\n81216 100000\n62817 94211\n64125 96160\n61188 91757\n3141 4677\n39585 59302\n93447 100000\n42865 64226\n19150 28634\n46238 69274\n56474 84646\n6010 8955\n5348 7965\n98067 100000\n3854 5723\n86603 100000\n28142 42091\n85722 100000\n68549 100000\n62753 94113\n20048 29965\n60332 90471\n28236 42233\n92909 100000\n99897 100000\n95199 100000\n61192 91764\n42984 64413\n59156 88667\n77538 100000\n10123 15110\n23079 34547\n96196 100000\n70696 100000\n36345 54423\n48029 71990\n22362 33471\n87208 100000\n42510 63698\n42116 63113\n69340 100000\n14199 21212\n79607 100000\n32362 48423\n14821 22143\n77964 100000\n48531 72731\n77871 100000\n18559 27744\n92824 100000\n58168 87191\n58209 87251\n40905 61309\n79428 100000\n14787 22091\n48901 73288\n77467 100000\n70428 100000\n13832 20675\n80883 100000\n71996 100000\n80404 100000\n99033 100000\n65781 98667\n28916 43230\n51054 76533\n80213 100000\n75738 100000\n22925 34325\n97476 100000\n99499 100000\n69383 100000\n84836 100000\n47832 71695\n4680 6959\n87543 100000\n82012 100000\n41845 62703\n59540 89249\n19408 29024\n91521 100000\n67956 100000\n33237 49715\n10797 16107\n40101 60072\n50334 75453\n77139 100000\n85590 100000\n48888 73268\n39155 58649\n96260 100000\n51213 76772\n32563 48707\n39511 59199\n48743 73042\n57120 85611\n2732 4075\n36736 55018\n15893 23762\n42232 63283\n3993 5931\n20856 31188\n42315 63405\n36180 54175\n30861 46178\n87829 100000\n84686 100000\n83200 100000\n85938 100000\n31718 47463\n22817 34154\n87160 100000\n5005 7447\n40834 61206\n78507 100000\n25364 37964\n16771 25059\n84411 100000\n51263 76847\n27982 41846\n17794 26601\n96492 100000\n21741 32520\n56644 84900\n45790 68604\n37199 55710\n59052 88514\n99019 100000\n20540 30708\n10304 15373\n82417 100000\n78806 100000\n64292 96410\n13916 20799\n68887 100000\n51341 76965\n20214 30203\n16420 24538\n91316 100000\n88108 100000\n36443 54571\n25764 38561\n63508 95238\n6419 9568\n61189 91759\n17973 26867\n12301 18406\n56338 84439\n53902 80804\n35830 53630\n32484 48601\n5324 7925\n68771 100000\n26262 39314\n42640 63890\n19733 29507\n4879 7254\n57393 86013\n86852 100000\n93545 100000\n81099 100000\n22880 34255\n10800 16111\n47094 70582\n92145 100000\n75868 100000\n14383 21485\n78644 100000\n89398 100000\n79395 100000\n38190 57196\n95387 100000\n95743 100000\n94844 100000\n57791 86620\n9821 14659\n65168 97732\n49167 73696\n58710 88006\n25957 38853\n6008 8952\n48878 73250\n70302 100000\n88497 100000\n40407 60534\n19565 29262\n90684 100000\n57517 86205\n81756 100000\n37366 55966\n24895 37264\n87980 100000\n76657 100000\n10826 16149\n46764 70076\n69834 100000\n59304 88895\n66573 99856\n21287 31841\n22741 34036\n75073 100000\n16711 24970\n24071 36024\n61236 91836\n54220 81278\n47138 70652\n72409 100000\n8390 12488\n37446 56086\n98762 100000\n9893 14768\n81095 100000\n20051 29970\n89496 100000\n38642 57881\n87104 100000\n81992 100000\n53854 80733\n61771 92656\n31411 46998\n65011 97489\n98917 100000\n69922 100000\n99173 100000\n3746 5571\n41348 61960\n14562 21755\n49955 74892\n18703 27965\n69195 100000\n4533 6740\n90316 100000\n47095 70584\n54108 81109\n80706 100000\n59037 88493\n18371 27464\n45351 67944\n15909 23786\n23843 35684\n35244 52731\n81918 100000\n36131 54099\n45021 67432\n85171 100000\n21531 32204\n30058 44957\n87415 100000\n41363 61983\n38335 57418\n27200 40703\n98958 100000\n65792 98682\n59919 89827\n55904 83786\n14569 21765\n45450 68088\n19881 29727\n39980 59891\n47398 71040\n12819 19174\n54180 81221\n14985 22393\n65629 98441\n81484 100000\n14290 21351\n94542 100000\n72662 100000\n28100 42029\n70893 100000\n74284 100000\n31611 47299\n17896 26760\n56627 84878\n20869 31206\n10049 15002\n12837 19199\n65311 97959\n27049 40472\n61932 92898\n91052 100000\n85607 100000\n85410 100000\n45013 67422\n83589 100000\n82756 100000\n32837 49112\n84948 100000\n65499 98249\n73728 100000\n7423 11071\n4842 7199\n74978 100000\n61166 91727\n74208 100000\n60822 91214\n43078 64556\n23470 35128\n71712 100000\n17344 25919\n64076 96092\n20700 30958\n72165 100000\n38168 57161\n75196 100000\n52277 78360\n36851 55197\n37575 56281\n99306 100000\n39991 59904\n55093 82572\n62453 93666\n95409 100000\n69717 100000\n16760 25042\n19291 28847\n16611 24823\n34312 51337\n53640 80415\n48883 73259\n58287 87371\n29219 43686\n4618 6862\n37824 56643\n53541 80257\n85981 100000\n9073 13528\n92137 100000\n15505 23171\n49675 74468\n9038 13482\n85000 100000\n63281 94912\n51969 77902\n90829 100000\n96108 100000\n44409 66530\n18014 26928\n32632 48807\n19090 28544\n35420 52996\n16890 25237\n94497 100000\n93478 100000\n21699 32460\n86822 100000\n68122 100000\n49221 73778\n64056 96062\n3009 4487\n23238 34784\n44922 67284\n85645 100000\n69055 100000\n93980 100000\n96916 100000\n59711 89515\n33882 50682\n45430 68060\n51814 77670\n99549 100000\n51441 77110\n53708 80516\n92503 100000\n93729 100000\n87111 100000\n71836 100000\n79595 100000\n94188 100000\n28079 41996\n3865 5740\n96346 100000\n95916 100000\n41645 62401\n78717 100000\n46479 69649\n76058 100000\n88433 100000\n13314 19909\n9699 14469\n66917 100000\n23103 34582\n32180 48155\n52988 79454\n85148 100000\n72818 100000\n37097 55558\n43832 65690\n44421 66547\n27704 41439\n53527 80237\n63912 95853\n37432 56064\n10073 15037\n91639 100000\n26926 40297\n2332 3494\n51537 77254\n73630 100000\n17980 26880\n47839 71704\n88489 100000\n89381 100000\n43695 65485\n69362 100000\n29860 44661\n4531 6737\n429 637\n66507 99755\n37677 56435\n25560 38254\n12696 18986\n3923 5823\n41465 62142\n73364 100000\n88789 100000\n15246 22781\n3318 4935\n94196 100000\n94327 100000\n40831 61201\n47611 71360\n55217 82756\n85041 100000\n71087 100000\n50912 76318\n72864 100000\n69798 100000\n60310 90437\n87867 100000\n89298 100000\n91846 100000\n41627 62376\n13117 19614\n6880 10256\n70203 100000\n64408 96588\n21534 32209\n60042 90022\n20713 30977\n97885 100000\n27299 40844\n80775 100000\n43939 65852\n68853 100000\n44230 66278\n53689 80488\n65399 98095\n77140 100000\n88832 100000\n68559 100000\n80607 100000\n88053 100000\n68188 100000\n17761 26547\n28454 42559\n95890 100000\n99191 100000\n45012 67420\n45978 68882\n6219 9275\n17708 26471\n52930 79364\n34688 51896\n95550 100000\n82575 100000\n27079 40522\n1468 2194\n87612 100000\n85706 100000\n79095 100000\n69622 100000\n36747 55035\n21071 31507\n79907 100000\n75456 100000\n99677 100000\n5864 8734\n4564 6783\n53755 80589\n83616 100000\n52422 78577\n33480 50080\n17023 25435\n68935 100000\n14452 21587\n13787 20612\n90356 100000\n39830 59668\n68663 100000\n2767 4123\n9846 14698\n650 974\n51633 77394\n41205 61761\n84018 100000\n77375 100000\n39401 59028\n40672 60949\n39426 59068\n97534 100000\n53488 80180\n94561 100000\n81426 100000\n35419 52995\n50559 75785\n50516 75722\n69415 100000\n81040 100000\n89594 100000\n24426 36570\n32541 48675\n58555 87770\n36236 54260\n12349 18469\n7175 10702\n41819 62661\n51528 77239\n31017 46403\n96048 100000\n19813 29628\n64728 97061\n25203 37724\n54921 82316\n9520 14200\n11455 17106\n22981 34410\n4801 7139\n63673 95477\n78199 100000\n39933 59817\n71877 100000\n25063 37517\n96607 100000\n69584 100000\n25781 38589\n16688 24934\n75198 100000\n38789 58101\n18815 28129\n16956 25337\n45036 67455\n5086 7575\n2348 3516\n78765 100000\n60137 90168\n59393 89023\n75605 100000\n33554 50189\n34516 51646\n39158 58653\n87234 100000\n85469 100000\n71518 100000\n48513 72707\n68018 100000\n75998 100000\n30165 45117\n75500 100000\n70970 100000\n82168 100000\n62164 93247\n59534 89239\n15411 23024\n31556 47219\n72302 100000\n62769 94136\n11716 17520\n12049 18035\n91220 100000\n95271 100000\n28713 42934\n11754 17577\n49793 74645\n28452 42556\n52585 78826\n22631 33873\n67898 100000\n95040 100000\n22748 34045\n71544 100000\n20485 30625\n68027 100000\n75626 100000\n4232 6296\n16626 24844\n80928 100000\n33345 49875\n6083 9066\n95263 100000\n34356 51406\n57706 86499\n19799 29608\n74573 100000\n99552 100000\n65479 98221\n91308 100000\n42718 64006\n54359 81486\n74129 100000\n30974 46345\n53429 80092\n18515 27676\n38749 58045\n30024 44910\n67838 100000\n61784 92673\n19006 28417\n94992 100000\n27236 40756\n97538 100000\n17911 26780\n89610 100000\n16321 24397\n8306 12363\n67493 100000\n65119 97652\n68854 100000\n48931 73335\n40036 59978\n68560 100000\n44384 66494\n50010 74976\n61150 91704\n69890 100000\n29897 44717\n71804 100000\n54105 81103\n60763 91126\n81728 100000\n65385 98074\n96609 100000\n20598 30800\n8606 12825\n68177 100000\n50310 75415\n17698 26457\n73963 100000\n96452 100000\n45971 68870\n35469 53079\n42885 64258\n44291 66360\n99566 100000\n65327 97984\n73197 100000\n12535 18741\n64560 96811\n15912 23792\n66985 100000\n34523 51653\n79402 100000\n15266 22809\n28128 42071\n25952 38847\n79717 100000\n69169 100000\n12772 19101\n20219 30212\n8206 12214\n88659 100000\n46778 70100\n87103 100000\n38883 58240\n70748 100000\n57664 86431\n36432 54552\n44110 66102\n58244 87304\n92186 100000\n13337 19944\n28496 42613\n78455 100000\n66705 100000\n5008 7452\n67163 100000\n39188 58699\n59167 88683\n25029 37467\n21260 31799\n42101 63092\n66912 100000\n47954 71880\n33250 49735\n34819 52088\n58739 88048\n95928 100000\n56711 85003\n69088 100000\n17598 26299\n4304 6402\n77628 100000\n15299 22857\n60663 90974\n50058 75045\n6703 9980\n70248 100000\n172 253\n93951 100000\n86174 100000\n11802 17647\n31789 47569\n97759 100000\n56302 84386\n16090 24060\n37135 55615\n66233 99347\n26887 40240\n33435 50013\n43456 65130\n86064 100000\n64521 96752\n71189 100000\n48410 72552\n43736 65545\n30971 46340\n42075 63052\n80451 100000\n1798 2687\n62627 93926\n30166 45118\n51116 76621\n83661 100000\n11135 16614\n24642 36893\n57906 86798\n32060 47972\n63294 94930\n29215 43679\n94448 100000\n21058 31487\n25377 37983\n6285 9373\n80185 100000\n68994 100000\n31550 47210\n93822 100000\n35116 52536\n78452 100000\n65930 98886\n42392 63524\n4776 7099\n27241 40764\n2175 3258\n67123 100000\n8138 12112\n3028 4516\n8803 13123\n97611 100000\n49698 74500\n97099 100000\n62910 94350\n48004 71950\n12096 18101\n66925 100000\n72799 100000\n33632 50306\n44216 66258\n62631 93932\n7364 10982\n95671 100000\n48089 72081\n63097 94636\n56558 84777\n60021 89986\n14304 21369\n39843 59687\n30654 45855\n58747 88059\n67229 100000\n96051 100000\n29179 43624\n9318 13892\n70790 100000\n68917 100000\n48238 72297\n22245 33289\n93434 100000\n63114 94664\n71478 100000\n2560 3838\n85695 100000\n83788 100000\n76522 100000\n45865 68713\n98596 100000\n53707 80515\n83293 100000\n40130 60114\n38756 58054\n6661 9917\n1857 2779\n60831 91228\n66809 100000\n41954 62869\n55219 82759\n16497 24658\n68119 100000\n8789 13098\n45961 68853\n43835 65695\n26241 39281\n24966 37366\n15077 22525\n70186 100000\n47426 71083\n77814 100000\n4373 6505\n67692 100000\n22249 33294\n46392 69513\n63661 95458\n12470 18646\n4192 6235\n36213 54226\n50976 76417\n53241 79820\n15095 22552\n6744 10039\n55512 83200\n5577 8303\n67415 100000\n65460 98188\n69899 100000\n66093 99140\n70207 100000\n16878 25218\n63840 95740\n18882 28232\n11588 17317\n74841 100000\n11176 16677\n10899 16264\n74530 100000\n16115 24094\n32129 48077\n699 1046\n69003 100000\n83366 100000\n8452 12583\n55480 83150\n28050 41950\n27426 41032\n68347 100000\n93665 100000\n73990 100000\n20478 30614\n6647 9896\n41519 62225\n176 257\n72413 100000\n34244 51232\n3390 5040\n67739 100000\n80948 100000\n3991 5928\n66105 99156\n37232 55762\n91671 100000\n97482 100000\n58847 88214\n29607 44275\n36076 54009\n9087 13550\n6360 9481\n91047 100000\n29547 44180\n27785 41557\n93741 100000\n44534 66713\n94075 100000\n78000 100000\n26190 39202\n67754 100000\n94821 100000\n55755 83551\n11515 17205\n68765 100000\n13236 19792\n95037 100000\n61604 92401\n39263 58813\n71831 100000\n36539 54715\n75310 100000\n14561 21754\n48546 72753\n88352 100000\n81388 100000\n93810 100000\n41893 62776\n63340 94998\n31186 46650\n3580 5320\n37753 56544\n50623 75870\n27228 40745\n82852 100000\n42490 63668\n63330 94983\n51356 76987\n85435 100000\n20244 30250\n88847 100000\n3010 4489\n91189 100000\n54662 81929\n12239 18310\n31415 47003\n76261 100000\n52003 77949\n67650 100000\n47887 71778\n24682 36950\n84482 100000\n56333 84432\n38734 58021\n76835 100000\n94435 100000\n36755 55047\n95402 100000\n88973 100000\n90016 100000\n6047 9011\n68295 100000\n52916 79341\n21547 32232\n63402 95083\n73472 100000\n52582 78821\n96517 100000\n74266 100000\n51770 77603\n29258 43743\n73937 100000\n86223 100000\n36094 54040\n18017 26931\n80061 100000\n6550 9761\n46879 70256\n75391 100000\n39039 58468\n69572 100000\n28531 42664\n24138 36123\n12624 18876\n9030 13470\n6547 9757\n25641 38375\n60622 90909\n9958 14864\n93751 100000\n41506 62202\n11388 16997\n51149 76673\n45566 68259\n48809 73147\n5927 8829\n19374 28976\n4054 6020\n17246 25764\n74316 100000\n10252 15294\n26460 39613\n56936 85343\n47012 70459\n83115 100000\n30481 45588\n55898 83777\n47666 71437\n15238 22769\n11357 16953\n64546 96790\n39717 59496\n67178 100000\n22959 34376\n24990 37407\n14074 21031\n66821 100000\n77250 100000\n76471 100000\n57343 85940\n71684 100000\n7905 11773\n19444 29074\n51583 77324\n17127 25590\n81786 100000\n79538 100000\n72574 100000\n3721 5535\n12721 19024\n68155 100000\n63361 95027\n76295 100000\n18551 27731\n38309 57374\n94489 100000\n3950 5867\n77036 100000\n35387 52947\n72822 100000\n78118 100000\n5485 8173\n4436 6598\n91679 100000\n98661 100000\n11432 17065\n33191 49649\n97899 100000\n53122 79641\n98527 100000\n72808 100000\n14817 22136\n64860 97262\n12885 19270\n99895 100000\n95083 100000\n56109 84093\n67638 100000\n54605 81849\n50854 76231\n2870 4285\n66059 99084\n62911 94352\n14271 21322\n9285 13845\n98179 100000\n49032 73484\n8883 13246\n44879 67215\n57481 86152\n62846 94255\n81562 100000\n7043 10499\n91107 100000\n56203 84236\n99118 100000\n112 165\n41546 62263\n15902 23774\n97698 100000\n17290 25833\n3204 4774\n63599 95370\n85616 100000\n57809 86646\n71932 100000\n99268 100000\n82364 100000\n52734 79058\n99718 100000\n76326 100000\n67167 100000\n49382 74021\n85281 100000\n23020 34465\n38287 57342\n25809 38631\n27622 41317\n73998 100000\n29756 44504\n19013 28431\n90394 100000\n99878 100000\n91722 100000\n33911 50730\n49490 74189\n87565 100000\n75895 100000\n34874 52169\n63244 94856\n92046 100000\n62407 93599\n91432 100000\n48530 72730\n61017 91502\n69229 100000\n75712 100000\n84710 100000\n61196 91771\n25247 37789\n29599 44262\n28491 42606\n59887 89777\n44917 67276\n90726 100000\n78605 100000\n29863 44665\n90480 100000\n70497 100000\n3660 5441\n73497 100000\n30005 44881\n18253 27284\n3047 4540\n32653 48835\n34136 51068\n18281 27325\n31443 47051\n82269 100000\n30147 45090\n45353 67947\n65044 97537\n76812 100000\n96321 100000\n33119 49546\n5892 8778\n42467 63636\n45072 67511\n58166 87187\n93907 100000\n57018 85460\n23812 35638\n34111 51029\n1467 2193\n63780 95647\n34641 51824\n59864 89748\n51465 77143\n11812 17663\n48811 73150\n14621 21842\n86232 100000\n34302 51321\n48870 73238\n23701 35473\n41013 61470\n9771 14578\n11997 17949\n78435 100000\n16468 24613\n24047 35990\n68512 100000\n99802 100000\n35418 52993\n90677 100000\n42144 63153\n80136 100000\n87498 100000\n10127 15115\n58885 88267\n57903 86792\n59583 89314\n1059 1586\n12676 18956\n70152 100000\n47470 71150\n59470 89143\n17693 26450\n14311 21380\n70540 100000\n25890 38747\n26815 40139\n43862 65735\n15235 22764\n13186 19723\n75506 100000\n91006 100000\n65224 97817\n38584 57796\n63499 95226\n25038 37480\n65409 98112\n35634 53328\n51543 77263\n85604 100000\n54427 81585\n29193 43645\n22527 33714\n81588 100000\n97630 100000\n16153 24152\n78596 100000\n67042 100000\n90160 100000\n76633 100000\n13445 20105\n1400 2094\n66840 100000\n270 400\n94552 100000\n10649 15884\n92184 100000\n34880 52177\n23987 35899\n38874 58226\n72961 100000\n88991 100000\n75574 100000\n55023 82471\n89996 100000\n29820 44606\n714 1066\n52381 78512\n45436 68067\n30917 46264\n86278 100000\n81956 100000\n40487 60652\n65768 98649\n309 454\n51894 77785\n18108 27070\n62482 93708\n72928 100000\n32968 49311\n73240 100000\n98593 100000\n23714 35490\n23148 34646\n69565 100000\n53262 79850\n58232 87284\n90260 100000\n24279 36336\n39605 59336\n11949 17873\n45692 68453\n83241 100000\n37952 56836\n13722 20507\n15009 22425\n42797 64121\n92591 100000\n87869 100000\n20105 30050\n65131 97673\n23401 35027\n65359 98035\n44847 67168\n64276 96386\n6152 9178\n60106 90120\n20960 31341\n49519 74233\n15093 22550\n56172 84190\n82576 100000\n98516 100000\n23000 34436\n1383 2069\n660 987\n82323 100000\n60513 90743\n86118 100000\n21168 31655\n52395 78534\n2519 3773\n62791 94169\n94180 100000\n8839 13178\n95981 100000\n83912 100000\n99242 100000\n42215 63256\n54184 81228\n77265 100000\n98223 100000\n93355 100000\n44826 67135\n68049 100000\n93987 100000\n45231 67761\n22375 33491\n16949 25326\n85381 100000\n68005 100000\n12725 19031\n81897 100000\n55000 82438\n92811 100000\n55282 82855\n10071 15034\n53858 80739\n92794 100000\n3671 5457\n565 847\n46604 69836\n24183 36195\n67037 100000\n73175 100000\n558 837\n32958 49299\n5928 8830\n99026 100000\n87438 100000\n12789 19127\n66009 99009\n55211 82746\n49896 74801\n65467 98200\n32270 48288\n68744 100000\n32195 48178\n94725 100000\n11798 17642\n36033 53937\n46038 68977\n56751 85064\n85068 100000\n67681 100000\n17751 26533\n41313 61906\n28412 42496\n20164 30134\n19183 28682\n25406 38026\n77364 100000\n60242 90331\n15234 22763\n69657 100000\n16000 23925\n59089 88568\n6158 9187\n61451 92170\n32520 48650\n60051 90037\n97603 100000\n1302 1950\n6175 9212\n67485 100000\n2399 3592\n11290 16855\n87873 100000\n3422 5084\n46782 70105\n26912 40278\n98001 100000\n15278 22825\n90213 100000\n95707 100000\n79078 100000\n45547 68234\n55994 83920\n12675 18954\n52147 78163\n68131 100000\n80996 100000\n15837 23677\n1202 1798\n15729 23512\n48569 72789\n76766 100000\n52167 78194\n69156 100000\n14800 22113\n88711 100000\n88297 100000\n4571 6794\n72853 100000\n18930 28300\n24756 37059\n67269 100000\n48676 72948\n40887 61282\n41862 62730\n90420 100000\n25587 38298\n52104 78098\n27651 41359\n58846 88213\n26193 39207\n98379 100000\n99486 100000\n28450 42553\n38526 57712\n12707 19001\n94789 100000\n26624 39858\n91074 100000\n34853 52134\n18183 27179\n5275 7855\n19181 28680\n40977 61417\n8548 12741\n27524 41174\n96538 100000\n68776 100000\n39311 58885\n74606 100000\n11926 17836\n51262 76845\n58815 88170\n52935 79370\n33131 49566\n61896 92846\n12699 18990\n925 1385\n50828 76190\n38122 57094\n87621 100000\n55142 82641\n56182 84205\n11987 17933\n33864 50655\n49055 73522\n33635 50310\n35654 53356\n75104 100000\n21066 31499\n12658 18929\n83765 100000\n77697 100000\n47488 71175\n62334 93496\n8948 13346\n69324 100000\n92969 100000\n91597 100000\n16487 24642\n64209 96283\n34552 51694\n73874 100000\n55398 83026\n32277 48301\n60820 91211\n33212 49678\n72377 100000\n69796 100000\n21347 31928\n96333 100000\n89409 100000\n59051 88513\n55631 83370\n7700 11485\n17277 25812\n2506 3754\n54514 81719\n16334 24414\n43712 65510\n81041 100000\n3550 5277\n23195 34717\n55839 83686\n78660 100000\n8754 13041\n35973 53847\n71062 100000\n28714 42935\n51607 77359\n57312 85889\n14040 20982\n53675 80466\n21125 31590\n38057 56999\n24375 36491\n38532 57721\n16577 24773\n28503 42621\n73934 100000\n43165 64676\n63708 95530\n29034 43409\n96878 100000\n34381 51449\n45540 68223\n8707 12972\n93135 100000\n4240 6306\n57833 86683\n37651 56396\n32323 48367\n48323 72422\n97307 100000\n62832 94232\n88 130\n857 1284\n62689 94017\n4967 7390\n99667 100000\n30944 46304\n58580 87808\n19154 28640\n21657 32397\n48327 72428\n23129 34619\n28407 42491\n19490 29146\n46736 70036\n24301 36372\n66205 99304\n63072 94596\n21717 32487\n13891 20762\n77672 100000\n74959 100000\n63210 94805\n27062 40494\n97284 100000\n92267 100000\n65721 98573\n77177 100000\n90429 100000\n9104 13576\n98657 100000\n85918 100000\n5257 7829\n7328 10930\n39741 59531\n42746 64049\n57642 86397\n44393 66505\n59531 89235\n20931 31299\n1181 1764\n57142 85640\n40561 60777\n46180 69189\n90090 100000\n84074 100000\n85269 100000\n94837 100000\n63811 95696\n95857 100000\n11373 16976\n94165 100000\n48501 72690\n59143 88645\n13174 19703\n94630 100000\n90351 100000\n97022 100000\n24186 36201\n55999 83928\n11640 17399\n48831 73180\n63350 95012\n7642 11396\n59418 89062\n20785 31085\n23137 34632\n90944 100000\n93774 100000\n79831 100000\n72262 100000\n909 1359\n99789 100000\n36533 54705\n30892 46227\n55190 82716\n77990 100000\n53624 80388\n45393 68005\n37317 55892\n26883 40234\n42416 63561\n35916 53764\n36058 53978\n94869 100000\n9502 14173\n2972 4432\n45888 68749\n2726 4066\n42122 63121\n18840 28168\n58857 88228\n70967 100000\n59046 88506\n53634 80404\n54696 81981\n514 766\n12131 18152\n43485 65172\n7635 11384\n72992 100000\n41432 62092\n89358 100000\n78296 100000\n27346 40914\n71864 100000\n57225 85763\n68840 100000\n57609 86345\n36781 55087\n35205 52672\n4335 6447\n56002 83932\n84244 100000\n15570 23274\n13382 20008\n88781 100000\n50158 75187\n73803 100000\n8594 12809\n61514 92260\n66530 99791\n75248 100000\n83380 100000\n3929 5834\n89743 100000\n23731 35514\n12482 18662\n9074 13530\n79152 100000\n66487 99726\n97629 100000\n78116 100000\n15052 22489\n33853 50637\n46215 69241\n9345 13934\n17597 26298\n2673 3997\n20438 30559\n58637 87896\n4516 6717\n63304 94946\n17825 26654\n13044 19506\n93749 100000\n86167 100000\n91591 100000\n35260 52753\n70639 100000\n30449 45541\n68942 100000\n68290 100000\n82340 100000\n27564 41229\n64998 97468\n9366 13968\n40213 60240\n4367 6494\n74990 100000\n58101 87089\n2315 3465\n14537 21715\n18856 28195\n45228 67757\n45429 68058\n76928 100000\n374 548\n35713 53446\n49815 74677\n93616 100000\n80327 100000\n64436 96628\n95807 100000\n30531 45663\n72279 100000\n70059 100000\n60325 90459\n79524 100000\n76390 100000\n28449 42552\n94484 100000\n72911 100000\n90863 100000\n55608 83337\n62696 94027\n67000 100000\n51987 77928\n52442 78610\n88526 100000\n62996 94478\n35423 53001\n76959 100000\n89877 100000\n69932 100000\n1555 2319\n64023 96014\n14107 21080\n5747 8554\n66803 100000\n19920 29783\n79605 100000\n98240 100000\n58274 87348\n32746 48976\n36704 54970\n30010 44888\n50699 75995\n67015 100000\n89119 100000\n38430 57567\n70006 100000\n71838 100000\n42569 63785\n34571 51722\n8414 12520\n10101 15078\n95355 100000\n23859 35707\n20153 30117\n69667 100000\n42671 63936\n4038 5999\n39618 59351\n93868 100000\n55663 83413\n97643 100000\n72492 100000\n26765 40065\n91913 100000\n45549 68237\n71780 100000\n11168 16666\n86432 100000\n11052 16493\n98658 100000\n56317 84408\n57113 85603\n54978 82405\n33289 49794\n61157 91713\n61213 91797\n15804 23625\n47369 71000\n26184 39194\n92706 100000\n97814 100000\n21253 31789\n39975 59883\n14607 21821\n33221 49691\n59164 88679\n23313 34904\n52032 77990\n86699 100000\n27028 40444\n99432 100000\n55857 83713\n78666 100000\n18583 27778\n20796 31101\n32194 48177\n10556 15755\n89480 100000\n49999 74959\n928 1391\n51391 77043\n40289 60356\n77413 100000\n21854 32701\n60872 91285\n82286 100000\n84554 100000\n54520 81729\n83640 100000\n52602 78848\n1032 1545\n36590 54796\n52214 78269\n62628 93927\n23732 35515\n81155 100000\n8159 12144\n56220 84263\n20727 30998\n87157 100000\n78071 100000\n29787 44553\n46297 69366\n8800 13117\n66571 99854\n26195 39211\n1505 2245\n80228 100000\n55909 83794\n26199 39217\n66732 100000\n79135 100000\n47193 70738\n64948 97393\n59328 88927\n1588 2366\n78448 100000\n78299 100000\n78135 100000\n15304 22864\n10592 15809\n76475 100000\n69022 100000\n66894 100000\n70935 100000\n87755 100000\n21115 31575\n62477 93699\n72945 100000\n19576 29281\n58640 87900\n68082 100000\n89835 100000\n79908 100000\n97965 100000\n55254 82812\n7442 11099\n599 895\n5235 7795\n18447 27575\n89673 100000\n21676 32426\n5837 8693\n77023 100000\n56572 84798\n86427 100000\n92304 100000\n3346 4973\n77180 100000\n79464 100000\n76884 100000\n85011 100000\n39278 58835\n8425 12540\n52321 78425\n62576 93850\n83943 100000\n93002 100000\n20771 31067\n72010 100000\n38212 57227\n98776 100000\n50842 76213\n88198 100000\n27414 41015\n58793 88132\n84044 100000\n47683 71464\n35818 53612\n63089 94625\n82802 100000\n19787 29591\n59579 89308\n61419 92123\n67133 100000\n5558 8280\n55276 82845\n69354 100000\n76331 100000\n10137 15129\n83466 100000\n24357 36462\n92132 100000\n63018 94511\n79775 100000\n53646 80423\n55556 83261\n49091 73577\n15858 23709\n98435 100000\n68704 100000\n49941 74869\n85745 100000\n23611 35339\n21317 31884\n41557 62277\n20418 30529\n31882 47708\n10996 16409\n19642 29373\n48615 72856\n39636 59374\n17329 25894\n83954 100000\n77234 100000\n9565 14272\n19050 28483\n98085 100000\n13800 20630\n76650 100000\n66987 100000\n74788 100000\n51617 77373\n19265 28812\n92737 100000\n68017 100000\n50074 75068\n27338 40902\n69452 100000\n86879 100000\n84693 100000\n73791 100000\n43207 64735\n68335 100000\n30109 45036\n25149 37640\n98005 100000\n85204 100000\n52584 78825\n97442 100000\n4670 6944\n10030 14976\n77620 100000\n12671 18949\n40584 60815\n74612 100000\n86876 100000\n58699 87990\n15005 22420\n7941 11824\n89216 100000\n97003 100000\n4113 6111\n86021 100000\n22119 33099\n83524 100000\n88358 100000\n96462 100000\n79394 100000\n57032 85483\n88807 100000\n3402 5055\n55164 82674\n39216 58743\n465 695\n21619 32339\n35941 53801\n1837 2746\n91182 100000\n36956 55343\n28417 42505\n19383 28989\n37138 55618\n23806 35626\n14478 21628\n91537 100000\n97948 100000\n97271 100000\n17524 26192\n28264 42275\n27156 40639\n36547 54728\n65525 98287\n96119 100000\n17928 26802\n39486 59157\n93970 100000\n73187 100000\n28889 43193\n84235 100000\n22250 33295\n30219 45199\n59109 88597\n61865 92796\n59928 89843\n25603 38321\n21336 31914\n1466 2192\n360 527\n48177 72214\n93969 100000\n4136 6150\n30452 45545\n56320 84411\n1462 2187\n8698 12958\n87831 100000\n25037 37478\n69823 100000\n98781 100000\n59358 88975\n20750 31033\n45316 67891\n55529 83226\n50893 76288\n51260 76842\n90758 100000\n36886 55242\n5372 8003\n75939 100000\n16328 24407\n42690 63962\n16411 24525\n39707 59482\n59981 89922\n35275 52774\n28348 42403\n74287 100000\n94901 100000\n37314 55888\n80281 100000\n32626 48800\n7296 10880\n28563 42706\n25325 37904\n60604 90880\n89432 100000\n30646 45844\n92818 100000\n87323 100000\n22581 33796\n33193 49652\n75412 100000\n46216 69243\n34258 51255\n456 680\n76466 100000\n51709 77515\n23877 35738\n64191 96259\n34833 52108\n18589 27787\n7862 11714\n9977 14891\n18492 27642\n10196 15212\n50116 75126\n32361 48422\n3611 5364\n63992 95973\n82313 100000\n45075 67517\n40412 60540\n4668 6940\n61137 91682\n35510 53145\n66145 99213\n51734 77551\n18907 28268\n82818 100000\n56814 85158\n46982 70413\n26188 39199\n53811 80671\n24833 37176\n87597 100000\n46305 69379\n2344 3510\n73964 100000\n48475 72651\n91319 100000\n96761 100000\n68609 100000\n81791 100000\n432 643\n16142 24134\n81782 100000\n72985 100000\n10498 15670\n1092 1635\n57604 86336\n42813 64147\n81100 100000\n34745 51977\n81246 100000\n66191 99283\n60826 91221\n76776 100000\n32385 48453\n18200 27203\n93362 100000\n46818 70163\n24967 37368\n84564 100000\n17206 25705\n80225 100000\n78481 100000\n14902 22271\n17462 26102\n5184 7724\n54312 81414\n96041 100000\n41863 62731\n36448 54577\n44545 66728\n62048 93076\n54754 82072\n47471 71152\n16552 24740\n72914 100000\n87075 100000\n64126 96162\n78478 100000\n7847 11690\n72576 100000\n49827 74698\n81279 100000\n23119 34608\n79410 100000\n2879 4298\n9143 13634\n25334 37919\n74085 100000\n54406 81554\n7561 11273\n96168 100000\n32256 48269\n8524 12702\n98382 100000\n7965 11857\n39557 59262\n33975 50822\n76366 100000\n96253 100000\n21449 32081\n18792 28091\n45541 68225\n4808 7150\n25668 38418\n76268 100000\n75889 100000\n68285 100000\n96562 100000\n53571 80307\n47688 71471\n71284 100000\n32956 49297\n31484 47113\n44563 66755\n40153 60149\n7938 11820\n25006 37430\n14196 21207\n11312 16888\n69510 100000\n52908 79328\n72519 100000\n79289 100000\n78534 100000\n20056 29976\n83247 100000\n10917 16290\n68144 100000\n55968 83883\n77244 100000\n8925 13311\n65237 97835\n8631 12859\n21095 31545\n94274 100000\n99956 100000\n61879 92821\n76095 100000\n28837 43117\n31380 46951\n18150 27131\n17398 26004\n74046 100000\n60074 90071\n35645 53344\n32759 48995\n35293 52802\n20296 30338\n1668 2485\n53422 80080\n64709 97032\n26692 39959\n89023 100000\n38890 58250\n17377 25970\n77716 100000\n88231 100000\n77711 100000\n7394 11028\n48651 72909\n28318 42353\n19471 29116\n40237 60279\n11043 16481\n14414 21531\n2089 3134\n44877 67213\n55213 82750\n80808 100000\n21467 32109\n31009 46393\n69274 100000\n17088 25533\n1146 1712\n17252 25774\n50269 75353\n71097 100000\n33851 50633\n63763 95618\n84788 100000\n42550 63760\n92069 100000\n94580 100000\n1104 1653\n86688 100000\n20923 31286\n87285 100000\n53038 79527\n63649 95441\n9331 13913\n57167 85676\n37889 56745\n39416 59054\n87038 100000\n21925 32807\n37843 56674\n31158 46608\n84545 100000\n87932 100000\n39501 59182\n68221 100000\n52805 79170\n13095 19583\n15480 23135\n1920 2872\n23105 34586\n61160 91718\n67706 100000\n65115 97646\n41512 62213\n72149 100000\n69520 100000\n1886 2824\n60873 91287\n51289 76887\n67479 100000\n27697 41430\n23761 35555\n68624 100000\n59984 89926\n20414 30524\n53005 79481\n97080 100000\n19496 29154\n46117 69093\n74545 100000\n47050 70513\n81218 100000\n7567 11281\n81849 100000\n149 219\n15443 23079\n84402 100000\n76810 100000\n93552 100000\n18562 27747\n50700 75996\n52301 78395\n61307 91953\n63935 95887\n11425 17055\n57241 85786\n2877 4295\n33771 50514\n37545 56238\n90905 100000\n20411 30519\n70269 100000\n92427 100000\n97210 100000\n32124 48070\n94828 100000\n49224 73783\n88273 100000\n17042 25465\n85640 100000\n34234 51214\n18159 27145\n68311 100000\n99859 100000\n74660 100000\n61893 92841\n81754 100000\n88373 100000\n91943 100000\n74686 100000\n26811 40133\n93007 100000\n8847 13190\n4522 6725\n18009 26920\n84448 100000\n42604 63832\n19226 28748\n20641 30868\n1367 2043\n29006 43366\n75201 100000\n58546 87757\n82888 100000\n80234 100000\n85970 100000\n93233 100000\n2283 3415\n56901 85292\n27402 40999\n37045 55479\n66136 99200\n21983 32890\n5810 8650\n10729 16004\n64569 96824\n76987 100000\n2632 3941\n86489 100000\n55727 83509\n85816 100000\n2014 3017\n51645 77414\n88792 100000\n49208 73760\n83001 100000\n85680 100000\n73739 100000\n77785 100000\n66618 99926\n15180 22677\n25909 38776\n54413 81562\n19905 29759\n36312 54373\n67558 100000\n26814 40138\n97154 100000\n644 967\n84480 100000\n68217 100000\n32681 48880\n10264 15311\n36938 55313\n79506 100000\n57528 86223\n8838 13176\n93839 100000\n99929 100000\n65160 97718\n65546 98319\n86567 100000\n16653 24884\n61601 92395\n6731 10022\n77989 100000\n90212 100000\n4110 6105\n46077 69033\n27558 41221\n56976 85397\n4889 7269\n16517 24688\n74769 100000\n66615 99922\n11009 16431\n14868 22219\n15573 23278\n15181 22679\n55434 83082\n68464 100000\n27922 41758\n6885 10264\n67912 100000\n98908 100000\n28328 42370\n26134 39120\n89286 100000\n93820 100000\n21390 31991\n61613 92416\n68796 100000\n29309 43818\n69138 100000\n17786 26587\n97512 100000\n31687 47411\n92720 100000\n88364 100000\n91195 100000\n13368 19985\n27683 41410\n85500 100000\n20887 31234\n48136 72153\n50280 75372\n61606 92404\n65994 98987\n45418 68043\n99327 100000\n31402 46987\n65106 97633\n36783 55090\n84603 100000\n38178 57177\n78663 100000\n3393 5045\n29079 43477\n98982 100000\n48003 71949\n63922 95868\n95140 100000\n14519 21689\n67586 100000\n60365 90518\n7687 11464\n10366 15470\n24177 36186\n33304 49816\n7816 11641\n17857 26706\n21780 32576\n96745 100000\n5881 8761\n38870 58220\n75307 100000\n69330 100000\n13946 20842\n86023 100000\n57693 86477\n41680 62453\n51624 77381\n35878 53704\n64486 96699\n6917 10314\n51153 76680\n71904 100000\n96306 100000\n71681 100000\n89793 100000\n48522 72718\n29143 43568\n48857 73216\n53415 80071\n84399 100000\n73942 100000\n22164 33165\n95391 100000\n17897 26761\n46287 69349\n92584 100000\n29911 44738\n32454 48557\n39983 59894\n74868 100000\n91953 100000\n73913 100000\n9869 14729\n91724 100000\n20375 30462\n73114 100000\n19860 29699\n80319 100000\n18606 27809\n12027 17996\n24478 36647\n81811 100000\n99606 100000\n41023 61488\n99746 100000\n60246 90335\n8445 12571\n53182 79726\n36984 55386\n11047 16488\n54129 81144\n29623 44301\n18225 27241\n71188 100000\n54953 82369\n1175 1754\n76847 100000\n70348 100000\n93525 100000\n70805 100000\n57015 85454\n72823 100000\n37114 55583\n88842 100000\n75585 100000\n76511 100000\n17565 26251\n19707 29467\n64612 96888\n31353 46913\n26009 38929\n1854 2773\n28918 43232\n10864 16208\n49639 74414\n32200 48186\n93349 100000\n23967 35868\n33461 50048\n9144 13635\n11097 16560\n67572 100000\n49920 74838\n30075 44983\n88211 100000\n71563 100000\n25880 38735\n62045 93072\n49587 74337\n75429 100000\n49285 73871\n99959 100000\n43316 64910\n94480 100000\n75672 100000\n45705 68474\n6836 10182\n68422 100000\n77547 100000\n2910 4343\n80525 100000\n53394 80042\n80026 100000\n92531 100000\n91400 100000\n63741 95584\n51307 76911\n8026 11945\n30088 45003\n37520 56201\n41128 61644\n70919 100000\n51718 77527\n64302 96423\n13410 20051\n76189 100000\n86787 100000\n39243 58782\n91718 100000\n63603 95375\n84160 100000\n77294 100000\n8315 12377\n72270 100000\n43355 64968\n53706 80514\n55384 83005\n69856 100000\n55042 82499\n95692 100000\n16275 24330\n67989 100000\n64291 96408\n73511 100000\n71656 100000\n62854 94266\n17577 26269\n42739 64040\n94962 100000\n26181 39189\n3381 5027\n69409 100000\n56009 83942\n83520 100000\n90405 100000\n43144 64648\n51687 77479\n21489 32140\n25914 38784\n96531 100000\n61555 92325\n7880 11739\n65403 98102\n70267 100000\n36417 54530\n44363 66465\n15921 23807\n43819 65669\n30888 46221\n37968 56860\n66181 99272\n63335 94991\n27820 41611\n85481 100000\n18960 28346\n70727 100000\n79932 100000\n53057 79548\n72127 100000\n79548 100000\n22526 33712\n62282 93420\n41121 61634\n86860 100000\n41304 61896\n58976 88402\n66491 99733\n55944 83848\n89884 100000\n23437 35080\n27362 40936\n76754 100000\n34353 51400\n8195 12197\n21820 32643\n82594 100000\n98191 100000\n64401 96577\n50595 75831\n56396 84530\n76856 100000\n7425 11074\n5737 8539\n5452 8125\n42782 64099\n88591 100000\n34645 51829\n45668 68416\n87919 100000\n89623 100000\n85095 100000\n85216 100000\n53087 79588\n45874 68726\n2580 3863\n51748 77573\n14833 22162\n42366 63484\n27092 40542\n17505 26163\n64314 96443\n378 555\n37019 55438\n89092 100000\n33475 50072\n79583 100000\n24102 36067\n86307 100000\n99113 100000\n30680 45895\n25755 38545\n58548 87760\n37593 56310\n39715 59494\n1601 2385\n24184 36197\n14475 21622\n23067 34530\n50708 76008\n15659 23408\n67689 100000\n86973 100000\n89122 100000\n16965 25350\n74381 100000\n12564 18783\n4856 7220\n48433 72583\n28327 42368\n75784 100000\n16336 24416\n38175 57172\n99121 100000\n65572 98356\n62741 94092\n52091 78080\n56083 84047\n80362 100000\n69669 100000\n61005 91484\n22340 33437\n94547 100000\n4488 6677\n42406 63545\n19464 29106\n77852 100000\n23576 35287\n45081 67527\n10761 16051\n40682 60963\n50313 75419\n58653 87922\n24080 36038\n10868 16213\n5677 8448\n22814 34149\n22941 34350\n44350 66448\n66500 99746\n57861 86726\n29644 44332\n85179 100000\n65025 97508\n23609 35337\n79796 100000\n10542 15732\n44700 66958\n97829 100000\n67674 100000\n33782 50532\n88336 100000\n30957 46323\n90234 100000\n85473 100000\n74810 100000\n79297 100000\n74200 100000\n12733 19042\n60403 90573\n56508 84703\n49782 74630\n22807 34140\n53434 80101\n78604 100000\n32369 48431\n27142 40622\n35368 52916\n32179 48153\n57774 86596\n7216 10761\n67822 100000\n83264 100000\n30999 46379\n50965 76400\n81200 100000\n34482 51592\n88823 100000\n44439 66576\n30334 45366\n71513 100000\n34480 51590\n39464 59126\n97199 100000\n63893 95821\n23803 35620\n66945 100000\n2526 3783\n73356 100000\n28292 42316\n68799 100000\n90843 100000\n83712 100000\n88225 100000\n53107 79620\n97435 100000\n68147 100000\n64702 97023\n8281 12322\n19824 29646\n60164 90207\n25769 38569\n76700 100000\n54564 81791\n36682 54939\n26680 39941\n825 1235\n66591 99883\n73660 100000\n57488 86163\n23578 35291\n58461 87632\n52456 78631\n81 120\n23465 35121\n76367 100000\n74560 100000\n7500 11184\n47033 70491\n51618 77374\n53482 80171\n64795 97163\n55519 83211\n25834 38669\n60388 90554\n3249 4842\n30448 45539\n54885 82264\n16713 24973\n2306 3453\n7953 11841\n46296 69364\n79762 100000\n46212 69236\n20726 30997\n78373 100000\n76275 100000\n78009 100000\n76023 100000\n43765 65589\n52646 78918\n73968 100000\n9278 13833\n20512 30669\n59050 88511\n42317 63408\n27997 41869\n84756 100000\n10977 16379\n84905 100000\n4498 6691\n29308 43816\n58528 87734\n19213 28725\n57636 86388\n54354 81477\n45305 67875\n39867 59723\n86526 100000\n86066 100000\n33275 49771\n22677 33939\n24104 36070\n66910 100000\n64112 96142\n35289 52796\n19126 28601\n44693 66949\n67111 100000\n64179 96243\n57462 86123\n91815 100000\n89402 100000\n64378 96540\n50224 75283\n26152 39150\n44539 66718\n61487 92222\n29671 44375\n45121 67591\n88158 100000\n83119 100000\n18473 27611\n64007 95992\n12240 18312\n53206 79763\n44220 66264\n77184 100000\n59467 89137\n93230 100000\n9075 13532\n71171 100000\n78310 100000\n48820 73163\n38126 57101\n99177 100000\n66253 99375\n91204 100000\n6553 9766\n42127 63129\n92098 100000\n74831 100000\n52841 79225\n43795 65633\n13920 20803\n66504 99752\n42081 63062\n72301 100000\n80651 100000\n19963 29844\n88586 100000\n64793 97161\n6644 9893\n80939 100000\n36453 54584\n81480 100000\n32115 48058\n26397 39519\n6654 9909\n95802 100000\n19922 29786\n65428 98141\n96765 100000\n21790 32594\n4305 6403\n31781 47556\n20900 31253\n27758 41517\n13896 20769\n87129 100000\n63218 94816\n26042 38973\n62405 93595\n35016 52390\n48526 72724\n37992 56899\n58882 88263\n70383 100000\n54594 81834\n66165 99245\n32340 48392\n54964 82386\n30385 45446\n98700 100000\n10321 15400\n46529 69719\n46056 69005\n38858 58203\n48285 72369\n50964 76398\n20948 31326\n69863 100000\n37118 55588\n19400 29012\n8061 11993\n5019 7470\n81730 100000\n63315 94962\n1413 2114\n14651 21890\n35523 53166\n79495 100000\n59907 89808\n22090 33051\n43459 65135\n3636 5406\n46986 70419\n43445 65113\n59509 89202\n54684 81963\n35813 53606\n48575 72800\n39196 58712\n93037 100000\n17995 26900\n97946 100000\n25291 37852\n85317 100000\n21309 31872\n26688 39954\n59660 89438\n47770 71597\n18777 28072\n22998 34433\n14980 22384\n23049 34506\n82861 100000\n33605 50265\n55017 82461\n66942 100000\n18263 27299\n60992 91466\n86693 100000\n81527 100000\n55916 83806\n7603 11337\n60790 91167\n41894 62778\n77311 100000\n60503 90728\n43354 64966\n55985 83908\n54021 80978\n37009 55424\n52461 78640\n75007 100000\n36836 55173\n61093 91619\n45977 68880\n1587 2365\n16118 24098\n82809 100000\n78970 100000\n33912 50731\n63615 95392\n74031 100000\n58397 87538\n36663 54907\n56124 84114\n77535 100000\n79268 100000\n1755 2620\n84631 100000\n94170 100000\n46873 70247\n16224 24255\n52772 79118\n54970 82395\n77787 100000\n48470 72643\n90367 100000\n89440 100000\n97613 100000\n32840 49118\n71504 100000\n53365 80000\n83364 100000\n36278 54324\n43350 64960\n93314 100000\n72186 100000\n24369 36483\n63311 94956\n19623 29350\n69105 100000\n24703 36981\n98268 100000\n28436 42531\n55927 83825\n97105 100000\n64901 97324\n9488 14151\n86911 100000\n2296 3435\n27251 40778\n73592 100000\n97287 100000\n99449 100000\n59459 89124\n22831 34179\n11612 17357\n33586 50237\n87571 100000\n87879 100000\n49391 74038\n18357 27442\n39116 58587\n69550 100000\n85233 100000\n90990 100000\n58873 88252\n76647 100000\n41497 62187\n64506 96728\n20289 30327\n67371 100000\n98713 100000\n45047 67468\n63229 94832\n42743 64044\n7996 11904\n19335 28916\n9508 14183\n31362 46926\n14981 22386\n54525 81736\n85336 100000\n31162 46613\n62643 93951\n76297 100000\n53082 79581\n96226 100000\n40122 60104\n99158 100000\n62377 93556\n62065 93100\n51184 76730\n72002 100000\n76418 100000\n59125 88619\n68168 100000\n58615 87861\n46118 69095\n7802 11622\n71610 100000\n16631 24851\n45481 68137\n13276 19850\n76493 100000\n46155 69155\n53347 79975\n68908 100000\n38209 57222\n55165 82675\n81568 100000\n67570 100000\n99478 100000\n34735 51965\n13007 19447\n53018 79499\n15392 22995\n12067 18062\n74434 100000\n39466 59130\n77776 100000\n6051 9017\n55646 83390\n9757 14558\n71350 100000\n16934 25303\n1997 2994\n27283 40820\n95274 100000\n97289 100000\n68829 100000\n90578 100000\n82102 100000\n77089 100000\n65465 98197\n4222 6282\n59691 89485\n87760 100000\n26646 39889\n77982 100000\n26467 39624\n6112 9109\n78750 100000\n92753 100000\n93607 100000\n24174 36180\n29499 44107\n71724 100000\n28353 42412\n5741 8544\n77208 100000\n29306 43813\n99154 100000\n5355 7977\n50286 75380\n93888 100000\n45337 67924\n53561 80290\n51788 77627\n52971 79428\n7434 11087\n17918 26789\n16633 24853\n72168 100000\n21816 32638\n72390 100000\n53932 80850\n75282 100000\n77167 100000\n56502 84693\n80736 100000\n6380 9509\n80416 100000\n76825 100000\n30098 45017\n41652 62412\n10651 15887\n34751 51985\n77568 100000\n9628 14362\n5031 7490\n52371 78496\n66128 99190\n43304 64893\n81643 100000\n14476 21624\n51855 77730\n69591 100000\n83473 100000\n47998 71943\n48010 71960\n84440 100000\n46770 70086\n15502 23166\n29595 44255\n87277 100000\n67247 100000\n77633 100000\n75012 100000\n91323 100000\n97914 100000\n22542 33737\n9301 13867\n62800 94185\n39990 59902\n46082 69041\n15232 22759\n75688 100000\n66895 100000\n83088 100000\n50935 76353\n9026 13464\n46154 69153\n31068 46479\n62958 94420\n11241 16780\n16212 24237\n20904 31260\n55618 83349\n71500 100000\n24397 36525\n11480 17148\n1418 2124\n41005 61458\n57374 85985\n70206 100000\n89663 100000\n40311 60389\n9455 14104\n39639 59378\n74894 100000\n12597 18836\n26016 38939\n29635 44321\n15115 22581\n35401 52965\n9279 13835\n55557 83263\n95766 100000\n75194 100000\n57691 86473\n70832 100000\n38298 57358\n84022 100000\n89455 100000\n6764 10067\n79079 100000\n14808 22123\n83429 100000\n74490 100000\n41827 62676\n44095 66080\n62371 93549\n53639 80413\n88063 100000\n65167 97730\n6246 9315\n33397 49954\n1336 1998\n7673 11444\n47043 70505\n90676 100000\n2179 3264\n34210 51176\n44730 66999\n63202 94792\n48424 72572\n11237 16774\n44090 66072\n49576 74320\n98873 100000\n47144 70662\n65823 98726\n63625 95408\n97687 100000\n69583 100000\n27581 41256\n47970 71903\n79092 100000\n66432 99645\n93018 100000\n5534 8246\n51896 77789\n55664 83415\n8936 13327\n94355 100000\n41931 62833\n9307 13877\n82206 100000\n5751 8559\n19616 29338\n10111 15093\n97308 100000\n28935 43258\n47621 71374\n93371 100000\n57310 85886\n65902 98841\n89438 100000\n60530 90771\n10857 16196\n276 407\n65817 98718\n6064 9037\n57749 86560\n70508 100000\n35040 52425\n70451 100000\n26962 40350\n79476 100000\n77663 100000\n53258 79844\n87037 100000\n32739 48962\n59234 88784\n41346 61957\n88628 100000\n54878 82256\n93784 100000\n16048 23995\n7311 10904\n58967 88388\n10244 15284\n63319 94967\n55202 82734\n28694 42904\n85967 100000\n54004 80955\n18688 27942\n45151 67636\n6322 9427\n15523 23202\n41040 61514\n4827 7175\n16595 24800\n58086 87070\n27186 40682\n1558 2323\n98528 100000\n34256 51252\n9228 13756\n52910 79330\n60191 90249\n58351 87465\n51187 76735\n88152 100000\n50237 75303\n37949 56832\n83263 100000\n89752 100000\n58370 87495\n23720 35499\n661 989\n14234 21266\n80504 100000\n30378 45434\n5867 8739\n2436 3645\n58758 88077\n30008 44885\n60949 91404\n57149 85652\n68256 100000\n1582 2360\n39881 59743\n71326 100000\n56992 85421\n49840 74718\n6357 9477\n6063 9036\n56588 84817\n12814 19167\n27668 41386\n61892 92840\n60653 90960\n84370 100000\n7106 10593\n36115 54075\n1861 2784\n85948 100000\n68746 100000\n17737 26515\n423 628\n1365 2040\n25366 37966\n17963 26852\n30584 45746\n38235 57262\n15347 22928\n38197 57204\n76222 100000\n61558 92330\n13542 20248\n85844 100000\n98627 100000\n2019 3026\n99277 100000\n78264 100000\n58483 87664\n95495 100000\n81316 100000\n67547 100000\n20754 31039\n30546 45685\n99461 100000\n84650 100000\n56379 84502\n31321 46861\n86083 100000\n3551 5278\n21227 31745\n21973 32876\n71635 100000\n61901 92852\n4349 6468\n85601 100000\n19934 29805\n43715 65514\n55603 83329\n79871 100000\n14282 21341\n27824 41617\n79567 100000\n35266 52761\n68071 100000\n65378 98064\n1877 2810\n69695 100000\n76348 100000\n59548 89262\n58951 88364\n16948 25325\n49116 73620\n61743 92619\n5419 8074\n21696 32454\n21428 32047\n67998 100000\n25702 38472\n19246 28782\n94459 100000\n68846 100000\n84046 100000\n58854 88224\n48320 72417\n96658 100000\n48981 73408\n28482 42593\n14316 21388\n75482 100000\n79897 100000\n83832 100000\n86608 100000\n55344 82947\n14334 21415\n40880 61272\n70363 100000\n69015 100000\n90286 100000\n28738 42972\n38936 58310\n82424 100000\n92384 100000\n25775 38579\n26619 39851\n55525 83220\n65896 98831\n38629 57861\n96476 100000\n37067 55510\n81689 100000\n85235 100000\n40373 60483\n45624 68350\n77520 100000\n83142 100000\n86063 100000\n10692 15948\n26668 39925\n35739 53490\n84000 100000\n51948 77869\n77290 100000\n89891 100000\n86248 100000\n17680 26429\n13482 20161\n90110 100000\n98078 100000\n92828 100000\n97093 100000\n36455 54588\n58268 87341\n75618 100000\n6214 9268\n52549 78769\n65157 97715\n18779 28074\n55261 82821\n77641 100000\n92814 100000\n56694 84977\n50963 76396\n6329 9438\n99051 100000\n36469 54608\n29 42\n47211 70765\n58648 87913\n20568 30755\n41063 61548\n72170 100000\n53756 80591\n79203 100000\n6912 10305\n80233 100000\n23285 34859\n1634 2430\n96088 100000\n49191 73736\n42999 64436\n18334 27411\n25172 37675\n7586 11310\n93247 100000\n87824 100000\n11994 17943\n19219 28737\n40401 60526\n10629 15859\n67979 100000\n48549 72758\n88018 100000\n4023 5975\n45325 67905\n74729 100000\n99497 100000\n89149 100000\n40010 59935\n56311 84398\n14163 21164\n1956 2929\n79347 100000\n2902 4331\n34785 52036\n55208 82741\n27401 40997\n22024 32952\n19722 29490\n88302 100000\n94097 100000\n44721 66988\n56505 84698\n70655 100000\n63883 95805\n192 283\n12493 18680\n21723 32497\n74932 100000\n49601 74359\n31604 47289\n82949 100000\n29676 44383\n13025 19474\n33823 50594\n74965 100000\n86951 100000\n19427 29050\n78395 100000\n41984 62916\n43262 64825\n63825 95714\n95411 100000\n7926 11805\n54669 81940\n47096 70586\n63627 95411\n52473 78659\n62330 93489\n63571 95330\n31506 47143\n18147 27127\n56687 84967\n72396 100000\n79160 100000\n41757 62569\n86664 100000\n57428 86069\n43270 64838\n92031 100000\n89201 100000\n24479 36648\n32770 49011\n76605 100000\n98376 100000\n96309 100000\n95605 100000\n74853 100000\n17998 26905\n83450 100000\n97399 100000\n71130 100000\n24864 37217\n76966 100000\n45524 68200\n99233 100000\n54584 81818\n34014 50883\n47985 71924\n83336 100000\n37789 56597\n15535 23221\n25928 38807\n54389 81529\n3304 4917\n49472 74161\n29099 43507\n40240 60284\n38222 57243\n69739 100000\n74068 100000\n38137 57117\n10081 15047\n33155 49601\n44051 66013\n26921 40288\n57829 86676\n49608 74370\n72150 100000\n23147 34645\n96295 100000\n71852 100000\n5873 8748\n21836 32669\n80080 100000\n59750 89571\n28521 42649\n29394 43946\n17553 26236\n18585 27781\n45808 68629\n82354 100000\n1739 2592\n47748 71564\n58393 87531\n68523 100000\n86217 100000\n35785 53559\n45279 67835\n71445 100000\n96980 100000\n70846 100000\n85479 100000\n78976 100000\n79017 100000\n84616 100000\n24781 37101\n12280 18379\n53974 80910\n41398 62040\n39863 59716\n90455 100000\n50962 76394\n13528 20228\n12992 19425\n64283 96398\n56993 85423\n79102 100000\n16471 24618\n59663 89442\n66158 99233\n54544 81765\n85598 100000\n40609 60848\n95878 100000\n65426 98138\n90628 100000\n99148 100000\n59508 89200\n59519 89217\n49218 73773\n54202 81254\n90997 100000\n10569 15774\n83913 100000\n39120 58593\n24763 37070\n31605 47291\n13466 20137\n19004 28414\n55502 83184\n73272 100000\n11434 17069\n86559 100000\n68666 100000\n47286 70875\n64389 96557\n23356 34962\n60455 90653\n87731 100000\n25974 38879\n1849 2764\n71383 100000\n21318 31885\n45664 68410\n96909 100000\n99420 100000\n36392 54496\n96496 100000\n45009 67417\n4183 6221\n53447 80120\n71031 100000\n4277 6360\n85748 100000\n74615 100000\n36207 54217\n88571 100000\n419 621\n99899 100000\n56935 85341\n86171 100000\n87626 100000\n42087 63071\n98605 100000\n23003 34440\n60667 90980\n76558 100000\n21459 32097\n68006 100000\n69444 100000\n7283 10859\n74458 100000\n69802 100000\n60639 90937\n82646 100000\n67667 100000\n36869 55221\n62520 93766\n6080 9062\n7949 11836\n69714 100000\n92973 100000\n52871 79270\n3759 5591\n47258 70832\n80776 100000\n42951 64367\n58833 88196\n8189 12189\n67723 100000\n74221 100000\n4003 5946\n49008 73445\n99382 100000\n25821 38649\n64465 96670\n45558 68249\n86213 100000\n72333 100000\n45661 68406\n51361 76993\n39822 59655\n97625 100000\n62424 93625\n40870 61255\n12760 19083\n19560 29253\n11140 16620\n23791 35602\n94678 100000\n85409 100000\n89935 100000\n70758 100000\n99321 100000\n58794 88133\n71481 100000\n33875 50671\n11605 17346\n53421 80079\n34071 50965\n27494 41130\n35996 53884\n69568 100000\n92228 100000\n26995 40397\n73680 100000\n9489 14153\n40684 60966\n96565 100000\n97766 100000\n31187 46652\n43492 65183\n57039 85496\n33305 49817\n17514 26176\n20949 31327\n76911 100000\n36412 54521\n83941 100000\n42469 63640\n74845 100000\n24923 37304\n47880 71768\n40615 60859\n7300 10887\n71560 100000\n55510 83196\n61448 92166\n85223 100000\n8657 12899\n45674 68425\n24884 37248\n52349 78461\n33781 50530\n92711 100000\n77534 100000\n20732 31005\n11090 16547\n33325 49843\n33147 49589\n70219 100000\n80879 100000\n82606 100000\n73750 100000\n21328 31899\n19971 29857\n60979 91446\n44132 66136\n36203 54212\n22872 34241\n98817 100000\n85229 100000\n76712 100000\n72336 100000\n5755 8566\n43233 64777\n88113 100000\n76502 100000\n65009 97486\n72684 100000\n68789 100000\n14424 21543\n53098 79606\n15848 23695\n72207 100000\n6029 8983\n91157 100000\n98200 100000\n43162 64672\n31180 46642\n84383 100000\n3042 4533\n59444 89100\n84716 100000\n14399 21509\n49061 73533\n95997 100000\n3705 5510\n98731 100000\n38134 57114\n37414 56037\n24774 37088\n96946 100000\n12859 19231\n14631 21859\n36155 54132\n11683 17465\n85932 100000\n15397 23003\n64046 96048\n73710 100000\n51723 77534\n67 100\n32789 49038\n25162 37659\n76332 100000\n26485 39648\n5144 7658\n52745 79074\n47140 70655\n76085 100000\n54339 81454\n67987 100000\n19740 29518\n5974 8896\n43796 65635\n48911 73301\n81545 100000\n50664 75936\n80387 100000\n92496 100000\n28823 43098\n54482 81668\n54803 82145\n58264 87334\n62904 94339\n52124 78126\n21400 32005\n672 1006\n42217 63259\n84045 100000\n83318 100000\n14511 21678\n32435 48528\n13627 20372\n49622 74389\n44719 66985\n50402 75557\n81835 100000\n66406 99608\n51596 77344\n52285 78371\n13132 19641\n92229 100000\n97092 100000\n84866 100000\n73026 100000\n867 1299\n11022 16449\n40395 60516\n89350 100000\n93788 100000\n22501 33677\n83257 100000\n23410 35040\n12286 18387\n44261 66320\n47374 71006\n60377 90535\n6583 9809\n61329 91987\n68875 100000\n18085 27034\n64433 96623\n42605 63834\n91083 100000\n70648 100000\n74444 100000\n73219 100000\n38391 57506\n67402 100000\n74667 100000\n5692 8468\n94379 100000\n50614 75859\n70618 100000\n26051 38985\n64186 96254\n76916 100000\n10257 15301\n8735 13016\n41963 62885\n61655 92478\n82421 100000\n65541 98312\n53691 80491\n38088 57047\n47206 70757\n47890 71783\n89802 100000\n38388 57502\n5050 7522\n92339 100000\n1994 2989\n80379 100000\n46329 69413\n7098 10581\n78511 100000\n18203 27207\n62646 93955\n74389 100000\n54347 81467\n10633 15864\n59616 89369\n68566 100000\n34018 50889\n63424 95118\n23490 35161\n7180 10709\n78261 100000\n6462 9630\n60786 91159\n90565 100000\n95911 100000\n25981 38888\n62279 93416\n29416 43981\n2184 3271\n25611 38332\n89799 100000\n82599 100000\n2223 3325\n32962 49304\n84556 100000\n21426 32044\n68191 100000\n54296 81392\n93010 100000\n50841 76212\n20928 31295\n67169 100000\n51541 77260\n60464 90668\n34608 51777\n25208 37734\n42288 63368\n92080 100000\n42009 62952\n84126 100000\n31330 46875\n91903 100000\n24459 36620\n94810 100000\n11126 16600\n21974 32878\n63817 95704\n60338 90478\n75152 100000\n50781 76121\n21488 32139\n21533 32207\n8629 12857\n65617 98424\n97762 100000\n46948 70361\n95711 100000\n32393 48467\n93459 100000\n21025 31437\n89373 100000\n24529 36729\n26538 39724\n71493 100000\n32994 49349\n37316 55891\n15956 23862\n67584 100000\n20087 30023\n57049 85511\n33785 50537\n22430 33570\n27075 40515\n82661 100000\n82777 100000\n19959 29840\n29812 44590\n18479 27621\n12303 18408\n30642 45838\n55749 83541\n60135 90165\n61481 92213\n70331 100000\n58560 87778\n16921 25281\n35797 53578\n20230 30228\n6487 9668\n85689 100000\n7226 10776\n81401 100000\n87030 100000\n24606 36841\n54313 81415\n91822 100000\n24681 36949\n52808 79174\n43565 65292\n38577 57786\n58342 87450\n83659 100000\n43584 65320\n3678 5468\n47278 70862\n41356 61973\n54738 82047\n12219 18277\n52187 78228\n4899 7284\n14317 21390\n40488 60654\n41724 62520\n65693 98537\n83218 100000\n96602 100000\n19360 28955\n99716 100000\n70870 100000\n56673 84946\n40180 60187\n74682 100000\n83917 100000\n2636 3947\n57521 86212\n33953 50792\n62028 93042\n68614 100000\n93582 100000\n79408 100000\n73170 100000\n26566 39771\n11243 16783\n84234 100000\n49334 73949\n48794 73126\n86815 100000\n4182 6220\n13214 19761\n60919 91355\n16593 24797\n84546 100000\n76587 100000\n39461 59122\n90080 100000\n20515 30674\n79112 100000\n23290 34867\n4345 6461\n86611 100000\n46839 70193\n83950 100000\n13306 19896\n20557 30734\n9315 13889\n27712 41450\n96107 100000\n39228 58761\n48302 72391\n91181 100000\n45330 67913\n2850 4250\n33487 50092\n15777 23587\n47823 71680\n40132 60118\n8279 12319\n8623 12850\n5237 7799\n99641 100000\n91966 100000\n71084 100000\n26778 40083\n31383 46955\n2883 4304\n82891 100000\n59902 89800\n77985 100000\n1591 2371\n86009 100000\n60805 91187\n9711 14489\n42305 63390\n37565 56268\n56583 84810\n39135 58618\n28466 42574\n50909 76313\n55938 83839\n65712 98561\n95267 100000\n66130 99192\n11372 16974\n34201 51161\n76267 100000\n92865 100000\n38570 57776\n89949 100000\n31715 47459\n39063 58506\n90166 100000\n99032 100000\n35339 52869\n3630 5395\n4018 5968\n61674 92511\n38000 56914\n66135 99199\n4411 6560\n41419 62071\n74571 100000\n19239 28770\n88980 100000\n63995 95977\n40343 60440\n97131 100000\n771 1152\n71348 100000\n45596 68307\n96805 100000\n55939 83841\n99590 100000\n85038 100000\n88891 100000\n91795 100000\n33988 50842\n13034 19491\n703 1052\n6802 10133\n6178 9216\n73632 100000\n69975 100000\n667 996\n36490 54637\n19918 29780\n31998 47883\n65652 98474\n35039 52424\n13808 20642\n10490 15660\n32321 48364\n35432 53015\n48641 72894\n95209 100000\n4241 6307\n6690 9959\n94703 100000\n27518 41165\n38814 58136\n52411 78562\n86783 100000\n50663 75934\n4219 6276\n48704 72984\n11705 17502\n22549 33748\n7695 11476\n91733 100000\n94812 100000\n20324 30384\n35559 53219\n74777 100000\n10538 15726\n65639 98455\n6697 9971\n85826 100000\n26161 39164\n84666 100000\n22625 33864\n38376 57483\n9263 13809\n6045 9008\n9786 14602\n24504 36685\n41515 62218\n51236 76808\n89560 100000\n24425 36569\n19753 29539\n56058 84011\n45737 68522\n71220 100000\n12958 19377\n31547 47205\n56173 84191\n37558 56258\n41245 61813\n63391 95068\n3632 5399\n6844 10196\n81330 100000\n85331 100000\n55615 83345\n86385 100000\n82161 100000\n84221 100000\n95117 100000\n75525 100000\n2273 3400\n43431 65092\n40085 60046\n10531 15716\n28277 42295\n3794 5638\n54790 82125\n24702 36979\n68482 100000\n11921 17828\n3062 4564\n96472 100000\n22412 33542\n3652 5430\n32661 48848\n24520 36714\n85113 100000\n97832 100000\n18845 28176\n80303 100000\n26380 39495\n58175 87202\n64069 96081\n20058 29979\n40406 60532\n25854 38697\n47869 71750\n71013 100000\n24929 37311\n93720 100000\n29929 44767\n98293 100000\n61466 92192\n16161 24160\n19621 29346\n51034 76503\n51838 77705\n33566 50208\n50467 75647\n94472 100000\n50289 75384\n73541 100000\n5493 8186\n18389 27489\n24160 36155\n87727 100000\n1954 2925\n49470 74159\n27677 41400\n41625 62374\n7516 11209\n45682 68438\n7208 10747\n48033 71995\n61540 92302\n4995 7432\n71862 100000\n63431 95129\n84787 100000\n18460 27593\n71088 100000\n21154 31636\n78499 100000\n2645 3959\n92246 100000\n83559 100000\n81260 100000\n20455 30583\n71988 100000\n6013 8960\n5685 8459\n99322 100000\n35978 53854\n72257 100000\n9110 13586\n11603 17344\n99849 100000\n8763 13056\n52641 78909\n13619 20361\n50769 76102\n25134 37619\n15908 23784\n8729 13008\n64475 96683\n50465 75643\n40061 60011\n17617 26327\n77126 100000\n15485 23142\n67793 100000\n21795 32603\n67949 100000\n94351 100000\n56103 84082\n92076 100000\n50772 76107\n42155 63169\n74140 100000\n7029 10479\n51909 77811\n44699 66956\n89115 100000\n43444 65111\n18649 27876\n54333 81444\n89188 100000\n69270 100000\n51142 76662\n93544 100000\n50594 75830\n24221 36255\n86082 100000\n50369 75506\n91894 100000\n60988 91458\n46307 69382\n2487 3723\n18072 27014\n56676 84951\n79642 100000\n92588 100000\n56897 85286\n24456 36615\n21684 32438\n62322 93477\n28363 42424\n29209 43668\n13719 20503\n3207 4780\n95525 100000\n39664 59415\n60099 90107\n55997 83924\n40670 60945\n37163 55659\n73283 100000\n94338 100000\n22424 33561\n64975 97433\n42316 63406\n18003 26911\n91451 100000\n85025 100000\n33284 49787\n5100 7596\n36927 55300\n86260 100000\n78621 100000\n497 740\n46868 70240\n2097 3145\n10371 15480\n88410 100000\n60035 90009\n11659 17429\n54730 82037\n7395 11030\n40924 61336\n89716 100000\n74702 100000\n52673 78964\n46870 70243\n62973 94445\n58766 88090\n29549 44183\n58844 88210\n15079 22528\n25685 38445\n56696 84980\n82366 100000\n82877 100000\n77412 100000\n26923 40292\n54116 81123\n39497 59175\n26110 39081\n95473 100000\n26209 39232\n62675 93998\n23912 35788\n48892 73275\n22641 33887\n18396 27499\n56191 84219\n52127 78132\n12833 19193\n62633 93935\n62311 93463\n12589 18823\n45803 68621\n9689 14451\n37680 56440\n23957 35852\n41290 61875\n13491 20174\n97336 100000\n43218 64752\n95305 100000\n99459 100000\n63911 95852\n32445 48543\n48386 72515\n12780 19112\n64698 97018\n8270 12308\n6636 9882\n66319 99477\n33556 50191\n65394 98086\n69845 100000\n52865 79262\n88726 100000\n29987 44853\n52992 79460\n49770 74610\n49865 74751\n84249 100000\n21511 32172\n22987 34418\n72261 100000\n78542 100000\n14534 21710\n85751 100000\n99038 100000\n24793 37119\n27943 41789\n924 1383\n71407 100000\n17054 25481\n99485 100000\n51314 76922\n67038 100000\n67190 100000\n29275 43765\n16945 25321\n8392 12491\n45633 68363\n51227 76793\n44330 66419\n99049 100000\n89860 100000\n17764 26553\n74211 100000\n11859 17740\n74265 100000\n15930 23823\n90807 100000\n44251 66306\n44608 66818\n64348 96492\n1026 1535\n39934 59819\n61498 92237\n62497 93733\n8025 11944\n30062 44964\n66649 99970\n50225 75285\n37559 56260\n66545 99815\n61752 92629\n23361 34969\n44413 66535\n24396 36523\n89035 100000\n41756 62567\n14918 22295\n42618 63854\n87923 100000\n18081 27029\n45157 67644\n32157 48118\n82027 100000\n6385 9517\n72702 100000\n58376 87503\n77487 100000\n1403 2099\n14784 22086\n20794 31098\n31314 46848\n89232 100000\n39652 59397\n60292 90406\n15533 23217\n39762 59561\n59535 89240\n7634 11383\n43683 65466\n2991 4462\n33559 50196\n46135 69125\n29208 43666\n90482 100000\n9371 13975\n22845 34201\n21630 32354\n63156 94722\n63533 95278\n48860 73222\n44203 66242\n89770 100000\n56190 84217\n93408 100000\n94122 100000\n24348 36446\n57822 86667\n29374 43918\n1522 2269\n52684 78980\n59824 89691\n65111 97641\n68061 100000\n77497 100000\n97758 100000\n47137 70651\n66184 99275\n89098 100000\n80518 100000\n41614 62357\n42553 63763\n14358 21447\n80627 100000\n73533 100000\n482 719\n52340 78451\n58049 87013\n57546 86247\n71589 100000\n63338 94995\n33206 49669\n55117 82605\n73478 100000\n78743 100000\n42342 63444\n72095 100000\n54269 81353\n99737 100000\n64337 96474\n93589 100000\n82317 100000\n17668 26410\n70313 100000\n34932 52260\n36043 53953\n70188 100000\n21774 32568\n83846 100000\n66126 99188\n67548 100000\n57764 86581\n36436 54560\n1051 1572\n32111 48052\n98653 100000\n54411 81560\n93138 100000\n59062 88528\n59041 88500\n77614 100000\n31670 47386\n87457 100000\n29967 44824\n32219 48213\n66411 99616\n16041 23984\n6018 8966\n21858 32706\n49866 74752\n17038 25459\n45772 68577\n52323 78428\n19199 28707\n50458 75634\n70818 100000\n52633 78895\n371 545\n8849 13192\n26343 39436\n17503 26160\n61802 92701\n55890 83762\n53829 80699\n36326 54394\n29231 43703\n52471 78657\n94389 100000\n23862 35712\n36037 53943\n12677 18957\n94985 100000\n87466 100000\n29571 44217\n38372 57476\n87241 100000\n6281 9367\n51506 77205\n90827 100000\n29740 44477\n64177 96240\n69197 100000\n30634 45827\n64178 96242\n15029 22458\n46915 70311\n51918 77824\n87045 100000\n288 423\n47781 71616\n24109 36078\n48943 73352\n36442 54569\n3274 4878\n19957 29837\n110 162\n36690 54952\n82632 100000\n42313 63402\n10236 15273\n4867 7236\n63529 95272\n88927 100000\n82726 100000\n13961 20864\n12818 19173\n61014 91498\n65130 97671\n62856 94269\n46437 69587\n66479 99715\n72227 100000\n94881 100000\n42251 63315\n96142 100000\n14617 21836\n27852 41658\n9800 14624\n47977 71913\n85288 100000\n85764 100000\n52528 78738\n96942 100000\n44635 66856\n40814 61174\n49141 73658\n78397 100000\n31143 46585\n18303 27360\n23642 35385\n7100 10583\n64449 96648\n98761 100000\n47057 70525\n36618 54839\n45229 67758\n82427 100000\n8438 12560\n42273 63346\n39362 58968\n69864 100000\n47040 70501\n74194 100000\n5043 7511\n97635 100000\n45017 67427\n46506 69689\n46687 69963\n58672 87952\n55327 82921\n67578 100000\n99336 100000\n99394 100000\n54187 81232\n32119 48064\n85927 100000\n47169 70698\n47019 70471\n83046 100000\n20592 30791\n93570 100000\n62615 93909\n32830 49100\n37693 56456\n18025 26943\n10041 14991\n78405 100000\n96534 100000\n57277 85841\n99013 100000\n1074 1610\n81263 100000\n81420 100000\n43717 65516\n57367 85976\n96703 100000\n36012 53907\n81412 100000\n16069 24025\n1738 2590\n99381 100000\n42210 63249\n35889 53722\n74052 100000\n40756 61080\n12187 18232\n18545 27722\n97753 100000\n70397 100000\n37223 55746\n23146 34644\n14554 21741\n11959 17890\n46174 69182\n58806 88154\n9248 13790\n80825 100000\n55422 83065\n75985 100000\n47971 71905\n98102 100000\n2231 3337\n29091 43494\n38539 57732\n35283 52786\n92691 100000\n48721 73009\n68245 100000\n39129 58609\n85079 100000\n71328 100000\n86422 100000\n1836 2744\n59576 89304\n51064 76548\n81961 100000\n23622 35355\n62969 94437\n14706 21970\n46679 69948\n83595 100000\n91394 100000\n60221 90296\n47375 71008\n58877 88256\n79720 100000\n42374 63495\n34935 52264\n13536 20238\n49303 73898\n23999 35919\n32247 48256\n34729 51955\n44299 66372\n31259 46766\n10327 15411\n35171 52618\n79489 100000\n94394 100000\n14191 21201\n6400 9541\n63305 94947\n45159 67648\n12620 18871\n23328 34920\n20853 31184\n69902 100000\n71990 100000\n25337 37924\n7614 11354\n75660 100000\n87947 100000\n72225 100000\n15306 22867\n84292 100000\n81052 100000\n40178 60185\n89554 100000\n59437 89089\n73480 100000\n36559 54747\n32002 47888\n25023 37457\n67885 100000\n10053 15008\n24491 36666\n41905 62793\n48212 72260\n7259 10823\n21455 32091\n44848 67170\n66685 100000\n87834 100000\n24613 36851\n33073 49475\n3253 4847\n33330 49852\n89819 100000\n51728 77542\n23753 35543\n94363 100000\n6310 9409\n30539 45676\n62348 93518\n64074 96089\n53274 79865\n18957 28341\n79947 100000\n39170 58671\n93619 100000\n19631 29360\n80983 100000\n6125 9129\n36631 54860\n12277 18374\n27546 41203\n68509 100000\n61100 91627\n6155 9182\n81391 100000\n82342 100000\n1387 2074\n87441 100000\n31077 46492\n19375 28977\n34959 52300\n31684 47406\n41371 61997\n36189 54189\n39826 59661\n6816 10155\n30064 44968\n94848 100000\n51581 77321\n92687 100000\n49159 73683\n45498 68160\n39673 59427\n8239 12264\n18224 27239\n33132 49567\n74835 100000\n70993 100000\n86041 100000\n59092 88571\n37832 56656\n37110 55577\n15365 22954\n91070 100000\n99500 100000\n96392 100000\n56613 84855\n20221 30216\n15028 22456\n16199 24218\n41741 62545\n4310 6408\n22185 33194\n88679 100000\n86964 100000\n26782 40088\n50160 75189\n43933 65842\n20462 30593\n64947 97392\n14887 22248\n32737 48960\n74484 100000\n43571 65302\n24139 36125\n63904 95841\n65108 97636\n7851 11697\n16665 24900\n32811 49074\n37870 56715\n40202 60223\n26336 39427\n96289 100000\n26037 38967\n35980 53858\n17061 25490\n97722 100000\n29378 43923\n18062 27000\n34327 51360\n12484 18665\n30611 45791\n66251 99372\n12460 18631\n97379 100000\n79073 100000\n25319 37893\n5035 7498\n2125 3183\n24101 36065\n15302 22861\n4759 7074\n87437 100000\n98712 100000\n71903 100000\n7602 11335\n29766 44520\n25916 38787\n11923 17830\n44446 66586\n69087 100000\n38377 57484\n71697 100000\n71827 100000\n38723 58002\n79436 100000\n33226 49699\n67427 100000\n81245 100000\n96806 100000\n23438 35081\n59985 89928\n55469 83137\n19588 29298\n53289 79889\n19432 29057\n24534 36737\n83502 100000\n77528 100000\n53586 80331\n81985 100000\n46493 69670\n26631 39869\n37255 55793\n37604 56325\n78207 100000\n62921 94368\n93394 100000\n50135 75154\n81649 100000\n25462 38113\n91030 100000\n58972 88396\n71503 100000\n10847 16182\n22367 33478\n52311 78411\n37755 56547\n5507 8206\n70147 100000\n51348 76976\n88120 100000\n70788 100000\n65165 97726\n4684 6963\n7945 11829\n69948 100000\n14921 22299\n54688 81969\n9722 14506\n15435 23068\n65299 97937\n16962 25346\n30760 46018\n83102 100000\n73815 100000\n8935 13326\n4901 7288\n904 1352\n99676 100000\n18927 28296\n82393 100000\n76904 100000\n68690 100000\n18916 28282\n71251 100000\n67728 100000\n18229 27248\n29785 44550\n33791 50547\n59446 89103\n22738 34033\n42429 63581\n55096 82575\n46765 70078\n33196 49657\n84184 100000\n60421 90606\n28919 43234\n81344 100000\n14238 21272\n97740 100000\n13838 20683\n22385 33508\n14588 21791\n21284 31836\n52007 77955\n54336 81448\n12337 18452\n8020 11938\n41955 62871\n75452 100000\n97565 100000\n31329 46874\n39832 59671\n9851 14706\n61782 92671\n28803 43071\n18580 27772\n14404 21518\n32273 48294\n52278 78361\n16099 24072\n26891 40244\n17731 26506\n77648 100000\n40212 60239\n72731 100000\n65485 98228\n82730 100000\n4147 6167\n35445 53038\n93403 100000\n11371 16973\n32483 48600\n36989 55391\n86018 100000\n87416 100000\n26623 39857\n88026 100000\n72850 100000\n75174 100000\n3052 4549\n93584 100000\n74714 100000\n33095 49509\n48761 73071\n83050 100000\n5570 8294\n11112 16581\n41908 62799\n46517 69703\n69433 100000\n24240 36282\n77168 100000\n19663 29404\n91076 100000\n88235 100000\n65113 97643\n61619 92425\n51875 77757\n39065 58508\n65947 98914\n7057 10519\n95648 100000\n20317 30374\n21310 31874\n23303 34888\n11514 17204\n79161 100000\n47981 71919\n73758 100000\n98746 100000\n68380 100000\n9759 14561\n61905 92859\n4906 7295\n86912 100000\n72434 100000\n16896 25245\n4355 6475\n60208 90278\n5041 7509\n16809 25113\n64299 96419\n1580 2357\n4749 7059\n79656 100000\n75295 100000\n83305 100000\n75684 100000\n36034 53939\n19211 28722\n26388 39505\n316 466\n20116 30067\n95809 100000\n50812 76169\n46684 69957\n26177 39184\n95518 100000\n35069 52467\n31419 47010\n40430 60568\n81814 100000\n296 434\n99494 100000\n31732 47485\n49376 74013\n81748 100000\n37049 55483\n39364 58971\n14911 22283\n96493 100000\n66343 99511\n78741 100000\n45010 67418\n55534 83232\n32597 48754\n89732 100000\n8451 12581\n36841 55180\n17379 25972\n14777 22075\n35406 52973\n41029 61497\n67506 100000\n80774 100000\n43938 65850\n94874 100000\n70555 100000\n3523 5234\n13356 19970\n94222 100000\n48330 72432\n23821 35653\n35213 52684\n12106 18118\n99809 100000\n20247 30254\n57912 86808\n71071 100000\n37069 55514\n4386 6524\n85951 100000\n3410 5066\n34611 51782\n24803 37134\n28081 41998\n86501 100000\n86130 100000\n6741 10035\n58968 88389\n47112 70612\n8765 13060\n69518 100000\n7729 11527\n46035 68973\n85526 100000\n33054 49445\n88378 100000\n88069 100000\n7 11\n16308 24375\n98752 100000\n13461 20128\n68172 100000\n11121 16594\n10151 15145\n78361 100000\n56087 84055\n77305 100000\n49849 74730\n24822 37160\n94 138\n17176 25663\n71894 100000\n83655 100000\n96089 100000\n968 1448\n5343 7958\n85383 100000\n27722 41465\n33574 50221\n38618 57846\n73453 100000\n21722 32496\n13666 20424\n26877 40225\n55560 83268\n56818 85163\n8556 12752\n75187 100000\n51394 77046\n15027 22454\n67100 100000\n13015 19460\n12909 19306\n49073 73552\n24871 37228\n88785 100000\n61462 92186\n82047 100000\n23508 35188\n61151 91706\n352 516\n71324 100000\n88472 100000\n27965 41823\n30504 45622\n71229 100000\n44246 66298\n41267 61844\n18639 27862\n7059 10522\n97712 100000\n4009 5955\n91856 100000\n6422 9571\n18191 27190\n63748 95596\n84322 100000\n23417 35050\n45336 67923\n50953 76380\n10552 15749\n85102 100000\n91882 100000\n3360 4994\n186 271\n67212 100000\n68677 100000\n57594 86320\n73846 100000\n62032 93050\n9468 14121\n97801 100000\n91027 100000\n88651 100000\n8385 12482\n55063 82529\n21187 31685\n54065 81045\n49393 74040\n47446 71114\n75358 100000\n62252 93379\n59515 89211\n23062 34524\n30780 46049\n78925 100000\n51276 76867\n63373 95043\n48688 72963\n89633 100000\n59888 89778\n83494 100000\n4752 7063\n1759 2626\n77480 100000\n38715 57988\n58701 87994\n5310 7905\n76685 100000\n60148 90182\n53341 79967\n25712 38485\n71344 100000\n50529 75744\n40003 59925\n26642 39884\n64614 96892\n4369 6498\n59396 89028\n91208 100000\n34421 51509\n23851 35696\n69113 100000\n19758 29547\n79074 100000\n86275 100000\n3776 5614\n32611 48776\n17384 25980\n92466 100000\n84180 100000\n32928 49252\n89968 100000\n72708 100000\n55278 82848\n39621 59356\n47857 71732\n29738 44475\n76831 100000\n41836 62692\n56674 84948\n66001 98999\n87715 100000\n37759 56555\n5197 7744\n10452 15609\n72445 100000\n46941 70348\n76557 100000\n97083 100000\n28176 42140\n78415 100000\n11184 16690\n11297 16864\n68568 100000\n43477 65159\n7986 11889\n74538 100000\n72870 100000\n72011 100000\n77431 100000\n90106 100000\n40185 60195\n3195 4762\n54371 81505\n21646 32383\n40358 60462\n20660 30897\n90848 100000\n84698 100000\n36738 55021\n24390 36512\n42654 63909\n72212 100000\n67849 100000\n79060 100000\n54071 81055\n7860 11710\n58474 87649\n44005 65945\n85133 100000\n37700 56468\n46922 70320\n17231 25742\n84722 100000\n17614 26322\n15001 22416\n13667 20425\n5760 8573\n23032 34484\n76447 100000\n56340 84443\n33551 50184\n39428 59072\n44346 66443\n90196 100000\n89724 100000\n49142 73659\n68209 100000\n29789 44555\n59953 89882\n86527 100000\n4207 6258\n55383 83004\n15153 22638\n82514 100000\n85633 100000\n14935 22320\n14429 21551\n21186 31683\n82330 100000\n20652 30887\n92066 100000\n47477 71160\n1222 1828\n52245 78314\n86670 100000\n43950 65867\n95105 100000\n14620 21840\n75176 100000\n61195 91769\n30826 46123\n68054 100000\n26576 39784\n94590 100000\n81498 100000\n82778 100000\n34296 51313\n36141 54114\n28380 42448\n15129 22602\n87785 100000\n55530 83227\n28686 42892\n75630 100000\n44044 66003\n84452 100000\n82887 100000\n41156 61686\n57055 85520\n46723 70018\n86923 100000\n96644 100000\n22767 34075\n81115 100000\n39632 59369\n64107 96136\n87698 100000\n75752 100000\n20847 31175\n72874 100000\n92924 100000\n45059 67487\n17571 26259\n23242 34790\n81358 100000\n31080 46497\n47659 71427\n97621 100000\n5736 8538\n36605 54819\n57319 85901\n18531 27701\n52722 79037\n45146 67630\n72960 100000\n41510 62209\n27807 41590\n50298 75397\n431 641\n74498 100000\n74377 100000\n18978 28372\n1276 1911\n80055 100000\n24143 36131\n47187 70729\n57832 86682\n86736 100000\n46964 70389\n59409 89048\n87463 100000\n2367 3543\n1314 1966\n9754 14555\n78267 100000\n29454 44038\n74363 100000\n11782 17619\n95655 100000\n18658 27891\n99625 100000\n43065 64535\n20408 30513\n44797 67096\n7172 10697\n989 1479\n74457 100000\n15748 23541\n89715 100000\n98126 100000\n49501 74205\n22574 33787\n72677 100000\n2568 3849\n74420 100000\n8886 13250\n13870 20731\n19096 28555\n97104 100000\n34101 51013\n4896 7279\n67992 100000\n68417 100000\n70349 100000\n14543 21724\n64737 97074\n44565 66758\n37862 56705\n52946 79389\n34152 51090\n5901 8792\n12778 19110\n70403 100000\n44790 67085\n65374 98058\n27650 41358\n12960 19380\n31960 47827\n57375 85986\n14925 22305\n11957 17887\n49870 74759\n93591 100000\n93244 100000\n36779 55083\n55921 83814\n39911 59785\n84020 100000\n50186 75229\n93271 100000\n75721 100000\n55809 83636\n72237 100000\n27548 41207\n95183 100000\n26254 39302\n75515 100000\n60334 90474\n9709 14485\n40550 60758\n22652 33903\n51188 76736\n38487 57654\n38542 57736\n46425 69569\n83458 100000\n40822 61186\n91309 100000\n14503 21667\n43896 65789\n65461 98190\n8609 12829\n22934 34340\n57081 85555\n79046 100000\n53856 80736\n56296 84376\n99285 100000\n81453 100000\n50359 75491\n88460 100000\n14326 21404\n35995 53883\n40432 60572\n81174 100000\n7315 10909\n15163 22652\n8566 12768\n80163 100000\n48520 72716\n30874 46200\n78734 100000\n93714 100000\n4266 6344\n81024 100000\n48309 72401\n17219 25725\n72057 100000\n37930 56807\n78132 100000\n28401 42480\n15323 22893\n15632 23365\n72655 100000\n78715 100000\n25011 37437\n26791 40101\n54228 81289\n87449 100000\n90292 100000\n35714 53447\n88707 100000\n72078 100000\n80129 100000\n85290 100000\n83786 100000\n73795 100000\n88545 100000\n41239 61806\n55524 83219\n7329 10931\n80440 100000\n53184 79729\n13728 20517\n17573 26263\n64690 97007\n40772 61105\n84896 100000\n66926 100000\n92321 100000\n52535 78747\n7975 11873\n25559 38252\n11786 17625\n3779 5617\n60159 90201\n51684 77474\n56036 83978\n3686 5480\n68670 100000\n19648 29383\n39029 58454\n5785 8613\n39126 58604\n92086 100000\n78704 100000\n15114 22580\n53704 80510\n44628 66846\n17840 26678\n60509 90736\n84926 100000\n7819 11646\n27765 41527\n14721 21994\n80594 100000\n67796 100000\n498 742\n52979 79441\n67568 100000\n39737 59526\n49521 74236\n54789 82124\n44379 66486\n49065 73540\n23139 34635\n3809 5658\n9501 14171\n62429 93632\n35246 52733\n84914 100000\n43868 65744\n80311 100000\n42545 63752\n26428 39565\n65169 97734\n6979 10405\n24018 35944\n19487 29141\n95392 100000\n29938 44779\n41990 62926\n57299 85869\n25046 37491\n83328 100000\n15331 22905\n51141 76660\n17258 25785\n19609 29329\n94026 100000\n77919 100000\n96077 100000\n14372 21469\n84733 100000\n25081 37546\n10146 15138\n81492 100000\n39870 59727\n5344 7959\n67291 100000\n62863 94280\n38755 58052\n66081 99120\n87202 100000\n86314 100000\n84362 100000\n13496 20182\n50153 75182\n95810 100000\n41939 62846\n81836 100000\n38665 57913\n82846 100000\n94931 100000\n32296 48331\n28313 42345\n90875 100000\n35526 53172\n44949 67328\n80023 100000\n6942 10347\n99045 100000\n46059 69010\n70142 100000\n89825 100000\n61806 92707\n53990 80936\n69639 100000\n65758 98637\n10368 15474\n45318 67894\n65695 98539\n65360 98037\n82324 100000\n39134 58617\n17754 26536\n27124 40596\n52669 78958\n79406 100000\n56649 84908\n61562 92335\n60368 90522\n55686 83447\n27738 41490\n66622 99931\n71947 100000\n71991 100000\n702 1050\n68735 100000\n53116 79632\n45709 68480\n76832 100000\n89711 100000\n95506 100000\n87958 100000\n91603 100000\n21289 31844\n40173 60176\n39611 59343\n48374 72498\n62650 93960\n57444 86094\n74765 100000\n77395 100000\n37032 55459\n41160 61693\n74791 100000\n27703 41437\n10201 15219\n97528 100000\n18316 27380\n65376 98061\n38788 58100\n26429 39566\n3276 4882\n45800 68617\n45451 68089\n23206 34735\n83890 100000\n13853 20705\n36719 54993\n4615 6859\n83122 100000\n83439 100000\n3833 5695\n56037 83980\n53833 80706\n19711 29473\n91490 100000\n43597 65343\n68136 100000\n18251 27280\n96755 100000\n11495 17171\n20416 30527\n57282 85846\n30423 45503\n27816 41605\n33530 50153\n83391 100000\n74451 100000\n20355 30430\n93221 100000\n54906 82295\n39964 59866\n82352 100000\n24685 36955\n41634 62387\n37466 56121\n56091 84062\n34910 52227\n29517 44135\n91698 100000\n6464 9633\n4138 6152\n62492 93723\n51533 77247\n32987 49337\n7698 11482\n60699 91030\n32125 48071\n10504 15680\n32543 48678\n38445 57591\n78353 100000\n12729 19036\n88938 100000\n34500 51622\n58538 87747\n2517 3769\n65736 98601\n49908 74822\n12483 18663\n67288 100000\n60750 91108\n59005 88444\n20161 30128\n72003 100000\n18107 27069\n93754 100000\n81672 100000\n14038 20979\n55912 83800\n50137 75157\n39877 59738\n92872 100000\n66948 100000\n82858 100000\n98374 100000\n40471 60626\n97370 100000\n4915 7310\n98733 100000\n12114 18131\n22794 34120\n66519 99773\n861 1289\n33790 50545\n9130 13615\n26434 39575\n53628 80394\n71411 100000\n49647 74425\n97650 100000\n74951 100000\n71623 100000\n83977 100000\n23948 35841\n53270 79860\n69551 100000\n98504 100000\n29115 43526\n16656 24888\n23625 35359\n96891 100000\n43884 65770\n46109 69080\n12526 18727\n88520 100000\n64267 96371\n49577 74322\n67148 100000\n28371 42435\n63826 95716\n30930 46281\n26178 39185\n57344 85941\n19978 29866\n5561 8284\n80350 100000\n22799 34127\n79540 100000\n42388 63518\n12704 18996\n32252 48264\n80178 100000\n3694 5491\n22595 33817\n38725 58005\n28769 43017\n43328 64928\n11507 17193\n98760 100000\n49161 73686\n47779 71612\n60319 90449\n61860 92789\n28703 42920\n93651 100000\n99009 100000\n13247 19806\n98167 100000\n68738 100000\n55582 83301\n53975 80912\n31871 47692\n1832 2738\n87304 100000\n14951 22345\n59631 89395\n25272 37825\n54792 82128\n9774 14583\n1984 2973\n71202 100000\n16850 25173\n60014 89975\n9762 14565\n36797 55111\n99192 100000\n8942 13337\n9420 14049\n17886 26748\n61490 92226\n37116 55586\n60094 90100\n40060 60009\n94036 100000\n27154 40637\n85781 100000\n72965 100000\n91115 100000\n98988 100000\n83889 100000\n93787 100000\n68870 100000\n94238 100000\n57646 86402\n19503 29165\n87936 100000\n49619 74386\n5930 8833\n82131 100000\n61722 92585\n21735 32513\n1951 2920\n6206 9256\n63573 95334\n57621 86364\n29355 43890\n83984 100000\n67743 100000\n81830 100000\n34418 51504\n92966 100000\n49412 74069\n47060 70531\n53999 80949\n2220 3321\n64187 96255\n90979 100000\n49648 74426\n22974 34400\n74659 100000\n65182 97753\n31970 47843\n47597 71339\n2150 3218\n44457 66600\n89848 100000\n43497 65191\n18814 28128\n42833 64178\n10482 15650\n17109 25563\n13611 20349\n42065 63038\n81677 100000\n34954 52293\n59073 88545\n55144 82643\n29022 43392\n82430 100000\n1019 1524\n13354 19967\n89524 100000\n54303 81402\n76077 100000\n38626 57857\n37259 55800\n40650 60911\n95836 100000\n85291 100000\n37264 55808\n42592 63816\n31070 46482\n4379 6513\n43470 65151\n94570 100000\n84825 100000\n30493 45607\n42812 64145\n98563 100000\n66340 99507\n80670 100000\n60093 90098\n80002 100000\n17093 25541\n51022 76485\n82719 100000\n29008 43370\n31557 47221\n49255 73827\n71165 100000\n25853 38695\n84675 100000\n35382 52939\n54675 81949\n84188 100000\n26014 38936\n93180 100000\n88475 100000\n83423 100000\n31821 47621\n86672 100000\n57098 85580\n57977 86899\n64688 97004\n30390 45453\n86807 100000\n53106 79619\n98079 100000\n37187 55692\n25741 38525\n67724 100000\n74024 100000\n28832 43111\n37148 55634\n12193 18240\n30811 46098\n24486 36659\n52023 77976\n10154 15149\n77688 100000\n40597 60833\n93960 100000\n85274 100000\n88752 100000\n31072 46484\n74722 100000\n32291 48324\n4368 6496\n11656 17425\n77150 100000\n41715 62505\n21373 31964\n22007 32928\n8716 12986\n38429 57565\n45066 67501\n84567 100000\n89285 100000\n42040 63002\n58040 86999\n95410 100000\n44858 67186\n55464 83129\n54175 81213\n87471 100000\n25766 38564\n21367 31955\n24973 37376\n71941 100000\n39400 59027\n5385 8019\n7956 11845\n83152 100000\n22682 33945\n31832 47636\n90392 100000\n91925 100000\n85172 100000\n41379 62008\n10915 16287\n62935 94389\n62818 94212\n84397 100000\n29169 43608\n56465 84630\n20955 31334\n82688 100000\n65769 98650\n32874 49171\n31280 46797\n71912 100000\n52786 79141\n4046 6010\n63173 94751\n52717 79030\n19559 29251\n32023 47919\n50751 76073\n40203 60225\n89589 100000\n11356 16952\n33460 50047\n17717 26485\n76325 100000\n96171 100000\n20400 30503\n11346 16938\n3783 5624\n99098 100000\n10508 15684\n7053 10514\n65613 98417\n66528 99787\n78146 100000\n35577 53244\n24778 37095\n99082 100000\n38676 57929\n94250 100000\n27473 41098\n95862 100000\n92780 100000\n72517 100000\n14049 20994\n89900 100000\n11499 17177\n69643 100000\n61980 92971\n28954 43285\n48150 72173\n19086 28538\n43100 64586\n36445 54573\n61984 92975\n25130 37614\n25399 38016\n78295 100000\n28704 42921\n30769 46032\n92240 100000\n85778 100000\n13259 19822\n94313 100000\n40075 60031\n65227 97820\n42723 64014\n74012 100000\n61129 91669\n84638 100000\n25199 37717\n26259 39309\n3157 4702\n17235 25748\n5748 8555\n53058 79550\n46706 69993\n21010 31417\n50122 75134\n36515 54677\n31177 46636\n98727 100000\n96951 100000\n59331 88931\n91206 100000\n5783 8610\n95104 100000\n67606 100000\n83007 100000\n17271 25803\n11809 17659\n43148 64654\n51192 76742\n8000 11909\n54677 81952\n36304 54360\n66715 100000\n53096 79603\n95253 100000\n11992 17940\n57239 85784\n79560 100000\n53037 79526\n63491 95214\n94986 100000\n27966 41824\n97229 100000\n71723 100000\n56620 84867\n33462 50050\n60834 91233\n69861 100000\n6453 9618\n81162 100000\n46335 69421\n82587 100000\n76252 100000\n63420 95111\n64515 96744\n80356 100000\n88844 100000\n48216 72266\n8550 12744\n67534 100000\n85208 100000\n86757 100000\n55107 82590\n23212 34743\n42267 63337\n1393 2083\n63665 95463\n39125 58602\n51503 77200\n60245 90334\n36086 54027\n72920 100000\n21753 32537\n4882 7259\n56708 84997\n28156 42114\n54756 82074\n62744 94096\n31555 47217\n74540 100000\n73917 100000\n20552 30727\n87920 100000\n78068 100000\n94529 100000\n97551 100000\n5552 8272\n2206 3300\n69200 100000\n48182 72222\n9167 13669\n45559 68251\n87854 100000\n77722 100000\n86507 100000\n96734 100000\n25852 38694\n81804 100000\n35506 53140\n79261 100000\n96928 100000\n20878 31219\n96323 100000\n89620 100000\n90832 100000\n38850 58189\n22093 33055\n63639 95426\n24001 35921\n66699 100000\n15463 23110\n99790 100000\n8992 13409\n78259 100000\n93575 100000\n50265 75348\n56418 84562\n85709 100000\n57009 85447\n69564 100000\n88740 100000\n97800 100000\n29581 44232\n25225 37759\n51738 77558\n50659 75928\n60951 91407\n15532 23215\n94994 100000\n47997 71941\n78139 100000\n80353 100000\n15255 22794\n78356 100000\n67971 100000\n73910 100000\n85784 100000\n10209 15231\n4645 6907\n81464 100000\n60309 90435\n94243 100000\n11706 17504\n97734 100000\n75842 100000\n97622 100000\n50166 75198\n66243 99361\n27700 41433\n24431 36575\n53288 79888\n359 525\n63646 95435\n25989 38900\n46068 69023\n6735 10028\n35783 53556\n58427 87581\n21274 31822\n88945 100000\n28656 42844\n47066 70541\n38173 57169\n83280 100000\n16989 25388\n31876 47699\n61207 91788\n61341 92007\n75019 100000\n45363 67961\n79209 100000\n88487 100000\n87924 100000\n28955 43286\n45567 68260\n2524 3779\n91801 100000\n75289 100000\n38043 56978\n61677 92516\n67094 100000\n9350 13943\n30461 45559\n64005 95989\n39067 58511\n84980 100000\n9204 13720\n61693 92539\n40493 60662\n61068 91581\n78473 100000\n93511 100000\n26992 40394\n27761 41522\n77872 100000\n84220 100000\n56326 84421\n99624 100000\n40511 60693\n92983 100000\n92041 100000\n71210 100000\n40186 60197\n8102 12059\n58750 88064\n32625 48798\n55079 82552\n82947 100000\n37501 56172\n55621 83354\n35937 53794\n24423 36565\n85800 100000\n51657 77433\n71579 100000\n54976 82402\n68991 100000\n36904 55266\n22679 33942\n31682 47404\n22969 34392\n78141 100000\n41094 61591\n25944 38831\n31560 47226\n68762 100000\n56347 84452\n91627 100000\n13449 20111\n50894 76290\n48995 73429\n40836 61208\n65553 98330\n12362 18486\n99440 100000\n70593 100000\n80668 100000\n4512 6712\n84595 100000\n74725 100000\n20001 29899\n32201 48188\n58360 87479\n8670 12916\n81815 100000\n46304 69378\n34118 51039\n42537 63739\n84713 100000\n2558 3834\n88650 100000\n61945 92918\n8652 12892\n64473 96680\n21261 31801\n52043 78008\n69469 100000\n2374 3554\n50489 75680\n76102 100000\n87305 100000\n23442 35086\n57306 85879\n19125 28599\n23769 35569\n96852 100000\n14856 22199\n23483 35150\n71938 100000\n56730 85033\n37271 55820\n5058 7536\n93049 100000\n40063 60014\n95896 100000\n99456 100000\n79185 100000\n30450 45542\n1694 2525\n69529 100000\n96881 100000\n12610 18854\n79384 100000\n42437 63594\n97750 100000\n90223 100000\n55285 82859\n48204 72246\n76239 100000\n50352 75480\n12853 19222\n48631 72882\n11284 16845\n14221 21249\n36564 54755\n52676 78969\n43121 64616\n11283 16844\n35522 53164\n98266 100000\n52761 79099\n13096 19585\n39829 59667\n10772 16070\n72587 100000\n52272 78353\n7737 11536\n60304 90426\n80536 100000\n49970 74914\n28017 41902\n68152 100000\n36648 54885\n37398 56016\n19569 29268\n94179 100000\n97523 100000\n90743 100000\n27527 41178\n15818 23650\n26572 39779\n6940 10344\n94551 100000\n29043 43423\n41255 61827\n35672 53385\n59231 88779\n71466 100000\n31485 47115\n69511 100000\n81090 100000\n47651 71413\n34560 51705\n888 1331\n25505 38177\n20189 30169\n18074 27017\n85743 100000\n82627 100000\n92825 100000\n54239 81307\n74233 100000\n14693 21951\n87788 100000\n53297 79902\n3320 4937\n45131 67610\n65638 98453\n19856 29692\n8848 13191\n7564 11277\n11376 16981\n98628 100000\n12029 17999\n23978 35884\n83188 100000\n55952 83860\n71015 100000\n19788 29592\n53627 80393\n79714 100000\n96638 100000\n2585 3871\n50120 75131\n62659 93974\n8006 11918\n43631 65391\n85785 100000\n4482 6668\n18070 27011\n84637 100000\n19323 28897\n25215 37745\n51490 77182\n64845 97242\n19142 28622\n76087 100000\n90556 100000\n50469 75650\n91662 100000\n73270 100000\n63357 95021\n39780 59588\n64841 97236\n66776 100000\n83292 100000\n79752 100000\n15933 23828\n10697 15955\n6582 9807\n86347 100000\n69951 100000\n8615 12839\n54521 81730\n61472 92199\n1125 1684\n25059 37511\n96730 100000\n56330 84428\n25919 38792\n67214 100000\n26395 39516\n69895 100000\n60040 90018\n49200 73748\n33039 49420\n84561 100000\n52110 78107\n35564 53227\n61354 92027\n74178 100000\n78940 100000\n52064 78041\n46901 70288\n76347 100000\n21422 32038\n87538 100000\n1622 2412\n87373 100000\n65093 97613\n40596 60832\n21410 32021\n8121 12085\n62682 94007\n52332 78440\n1932 2889\n8160 12146\n12190 18236\n99913 100000\n51090 76583\n5053 7528\n80377 100000\n45026 67438\n10461 15621\n6416 9563\n17098 25550\n68741 100000\n11978 17917\n77432 100000\n29706 44432\n90042 100000\n35686 53406\n91102 100000\n20331 30394\n67577 100000\n80116 100000\n78047 100000\n85710 100000\n55650 83397\n78281 100000\n24694 36967\n19144 28625\n4833 7187\n80850 100000\n99502 100000\n50567 75795\n98604 100000\n56756 85072\n19846 29678\n53313 79928\n33020 49391\n8968 13376\n41588 62319\n48742 73040\n84174 100000\n23513 35194\n24059 36006\n29284 43778\n23927 35810\n34093 50999\n44942 67317\n27344 40911\n81423 100000\n92820 100000\n23267 34833\n4823 7171\n37214 55733\n70214 100000\n69586 100000\n50634 75886\n22868 34235\n41038 61510\n38097 57062\n93847 100000\n49734 74554\n99319 100000\n77340 100000\n65261 97875\n7792 11609\n29072 43469\n59915 89821\n11060 16503\n43867 65743\n72970 100000\n59136 88634\n55930 83828\n82548 100000\n17878 26737\n86954 100000\n78092 100000\n63801 95679\n85330 100000\n55216 82755\n58082 87063\n23751 35540\n68441 100000\n29397 43951\n22596 33819\n91177 100000\n81169 100000\n51245 76822\n13986 20902\n10028 14973\n63890 95817\n61982 92973\n29286 43782\n48306 72396\n79317 100000\n5839 8696\n17254 25778\n67579 100000\n17445 26077\n14075 21032\n43209 64738\n84137 100000\n50814 76171\n38096 57060\n77522 100000\n63415 95104\n71810 100000\n59686 89478\n83571 100000\n34795 52053\n43248 64802\n81679 100000\n27757 41516\n79805 100000\n67893 100000\n72354 100000\n32675 48871\n80307 100000\n64151 96202\n53729 80549\n72555 100000\n83360 100000\n19840 29669\n78782 100000\n81239 100000\n60070 90066\n78629 100000\n7432 11084\n90518 100000\n6785 10105\n64588 96848\n82333 100000\n62954 94415\n5405 8054\n50896 76294\n48813 73154\n98698 100000\n61272 91897\n21331 31905\n70225 100000\n49776 74619\n39313 58889\n65204 97787\n49322 73928\n58586 87818\n49417 74076\n65785 98673\n86414 100000\n4705 6992\n74699 100000\n76238 100000\n78304 100000\n71184 100000\n59174 88693\n71913 100000\n51410 77068\n99489 100000\n4050 6015\n52099 78092\n77444 100000\n66978 100000\n3261 4860\n13949 20846\n82541 100000\n96978 100000\n77944 100000\n25810 38633\n4845 7205\n25127 37610\n16766 25052\n14154 21150\n92175 100000\n35214 52686\n38595 57812\n53934 80853\n7647 11405\n60165 90208\n6440 9597\n60684 91007\n39358 58960\n58162 87182\n73242 100000\n50666 75940\n74796 100000\n14723 21998\n11077 16529\n49187 73728\n37155 55643\n3043 4534\n90822 100000\n54686 81967\n7335 10938\n38823 58150\n69042 100000\n75459 100000\n64385 96550\n39722 59502\n14183 21190\n54238 81305\n45754 68549\n56011 83946\n99894 100000\n67614 100000\n46569 69780\n33915 50736\n91991 100000\n70777 100000\n53012 79490\n20595 30796\n51284 76879\n54137 81157\n67087 100000\n15753 23550\n3889 5777\n72863 100000\n37777 56581\n72713 100000\n36745 55032\n66261 99387\n94390 100000\n35348 52885\n82163 100000\n31163 46614\n23844 35686\n6471 9644\n37282 55835\n70502 100000\n4847 7208\n1262 1887\n37127 55602\n98740 100000\n49921 74840\n48589 72816\n51649 77420\n97344 100000\n41384 62016\n60223 90300\n26550 39747\n21817 32640\n67744 100000\n19418 29036\n47878 71764\n3821 5676\n77651 100000\n61363 92041\n55255 82813\n46747 70053\n64794 97162\n27018 40429\n70065 100000\n53873 80762\n87515 100000\n71675 100000\n24729 37018\n75750 100000\n56506 84700\n23250 34803\n51769 77602\n57895 86779\n82545 100000\n45345 67935\n98918 100000\n15117 22584\n37964 56854\n38698 57965\n33470 50064\n32404 48481\n50309 75414\n44923 67286\n89379 100000\n91618 100000\n30842 46149\n12649 18914\n35511 53146\n37614 56340\n97414 100000\n39052 58489\n2354 3524\n63214 94810\n47730 71533\n36415 54527\n53427 80089\n19671 29414\n16738 25009\n58036 86991\n86497 100000\n26914 40280\n75742 100000\n60467 90673\n24113 36084\n18645 27870\n41772 62592\n48568 72788\n73952 100000\n32108 48046\n20799 31105\n3440 5109\n57513 86198\n54164 81197\n57192 85713\n23937 35827\n90678 100000\n60801 91182\n45288 67849\n11535 17235\n72703 100000\n93930 100000\n90035 100000\n79801 100000\n92383 100000\n14332 21412\n56504 84696\n13948 20845\n27908 41737\n63362 95028\n36071 54001\n75177 100000\n9595 14314\n64338 96476\n73248 100000\n93406 100000\n19981 29871\n89685 100000\n95162 100000\n48590 72818\n99717 100000\n81766 100000\n4356 6477\n56325 84420\n49035 73489\n29823 44609\n80543 100000\n2189 3278\n55457 83117\n39406 59038\n79322 100000\n36967 55360\n74013 100000\n69894 100000\n5588 8320\n39217 58744\n4387 6526\n38632 57866\n31807 47597\n22482 33646\n30362 45411\n82499 100000\n8685 12942\n95039 100000\n16116 24096\n91301 100000\n50244 75315\n94406 100000\n68132 100000\n38167 57159\n97854 100000\n36474 54615\n65491 98238\n86379 100000\n36266 54304\n54155 81182\n11116 16586\n49133 73644\n95803 100000\n73019 100000\n26944 40323\n82034 100000\n65986 98975\n43878 65760\n45437 68068\n83705 100000\n52730 79051\n92551 100000\n12332 18445\n54037 81002\n51906 77805\n65532 98298\n50332 75450\n85547 100000\n10583 15795\n76564 100000\n6556 9769\n37173 55674\n65848 98764\n14310 21378\n69743 100000\n11044 16483\n56461 84624\n35958 53824\n60286 90397\n82894 100000\n436 649\n86592 100000\n37332 55917\n46102 69070\n97697 100000\n91507 100000\n18322 27391\n42318 63409\n76154 100000\n64403 96580\n82996 100000\n61781 92670\n80097 100000\n94195 100000\n23900 35771\n2979 4444\n54957 82376\n97728 100000\n62361 93535\n10523 15705\n28782 43037\n8428 12546\n93654 100000\n63295 94931\n39038 58466\n97580 100000\n82832 100000\n46638 69887\n49788 74638\n27034 40453\n90879 100000\n92014 100000\n38253 57290\n45872 68722\n53265 79854\n36920 55290\n78167 100000\n84789 100000\n951 1422\n25436 38072\n80561 100000\n82814 100000\n64970 97424\n95759 100000\n70862 100000\n51564 77298\n53066 79562\n45753 68547\n9887 14758\n56073 84031\n8881 13244\n37842 56673\n27540 41195\n83673 100000\n75418 100000\n37051 55486\n68982 100000\n77687 100000\n28548 42686\n9023 13459\n20596 30798\n31974 47848\n13548 20257\n26556 39756\n26564 39768\n12945 19357\n55951 83859\n12070 18066\n16677 24918\n84236 100000\n93197 100000\n15070 22515\n14802 22115\n80437 100000\n2109 3161\n14711 21979\n31852 47664\n30617 45800\n99077 100000\n21776 32571\n72053 100000\n84955 100000\n75214 100000\n59521 89220\n56877 85257\n66778 100000\n59142 88644\n40896 61298\n18214 27223\n38053 56993\n45095 67550\n52607 78857\n9432 14067\n25020 37452\n44909 67264\n54786 82118\n50928 76342\n84654 100000\n46046 68990\n53788 80636\n43268 64835\n22848 34206\n68712 100000\n65463 98193\n27694 41425\n50865 76245\n87365 100000\n57620 86363\n991 1481\n68089 100000\n33852 50635\n10901 16266\n37696 56460\n32872 49168\n27919 41753\n6914 10308\n52557 78781\n7655 11414\n96173 100000\n74559 100000\n92071 100000\n95817 100000\n38945 58324\n62989 94469\n1697 2530\n58644 87906\n76441 100000\n40457 60608\n79948 100000\n14025 20962\n85215 100000\n76694 100000\n5875 8751\n29395 43947\n91197 100000\n47444 71112\n88608 100000\n71273 100000\n74008 100000\n39048 58482\n41260 61835\n95046 100000\n24518 36711\n1649 2453\n8075 12014\n16045 23989\n80792 100000\n48364 72486\n21744 32525\n84025 100000\n78638 100000\n27698 41431\n50365 75501\n24030 35963\n70314 100000\n2663 3983\n24530 36731\n5153 7671\n8080 12022\n10256 15300\n96728 100000\n23690 35458\n46260 69308\n49341 73960\n47826 71685\n43829 65686\n86660 100000\n53901 80803\n23693 35463\n58641 87901\n98181 100000\n56941 85349\n94447 100000\n85868 100000\n55390 83014\n93502 100000\n98244 100000\n27486 41119\n93455 100000\n92238 100000\n7692 11472\n96828 100000\n53500 80199\n90163 100000\n28882 43186\n20265 30282\n99119 100000\n86389 100000\n57313 85891\n26594 39809\n84875 100000\n39583 59300\n37438 56074\n13873 20737\n47797 71637\n89726 100000\n73190 100000\n15419 23038\n10966 16365\n36534 54707\n59936 89855\n74442 100000\n13311 19906\n53973 80909\n99670 100000\n87546 100000\n78924 100000\n657 983\n13694 20466\n46577 69792\n24863 37216\n7793 11610\n43380 65008\n91471 100000\n88255 100000\n79525 100000\n40777 61112\n42046 63009\n31429 47028\n16095 24067\n83133 100000\n34137 51069\n63011 94501\n6800 10129\n60749 91106\n88921 100000\n38748 58044\n49749 74576\n34903 52216\n14732 22011\n72647 100000\n48552 72763\n10718 15988\n28107 42039\n4339 6452\n34732 51960\n24917 37295\n4804 7145\n17909 26776\n76718 100000\n73785 100000\n91037 100000\n77008 100000\n2579 3862\n25600 38316\n46292 69358\n82275 100000\n68786 100000\n33584 50234\n26728 40011\n19562 29257\n60346 90491\n77027 100000\n30110 45038\n70902 100000\n57440 86088\n52021 77973\n19109 28575\n99404 100000\n62284 93423\n57339 85933\n93171 100000\n85544 100000\n79475 100000\n7569 11284\n96823 100000\n52545 78762\n4420 6575\n8403 12506\n92597 100000\n34890 52194\n71651 100000\n67388 100000\n13941 20834\n18776 28071\n51234 76804\n27234 40753\n86311 100000\n44064 66033\n39455 59114\n52880 79284\n61947 92921\n81860 100000\n58198 87234\n1078 1616\n8659 12902\n32913 49231\n15719 23496\n84906 100000\n58861 88234\n96615 100000\n40441 60583\n70833 100000\n73361 100000\n97245 100000\n84259 100000\n87165 100000\n23818 35647\n38458 57613\n20930 31298\n90263 100000\n91064 100000\n74566 100000\n24209 36237\n88621 100000\n56291 84368\n69382 100000\n59221 88764\n31571 47244\n12344 18462\n69854 100000\n62546 93803\n70137 100000\n31753 47515\n49679 74476\n62346 93516\n28867 43163\n70692 100000\n96080 100000\n97541 100000\n87440 100000\n62489 93719\n79457 100000\n3196 4763\n61243 91848\n33772 50516\n17315 25871\n68932 100000\n86471 100000\n94875 100000\n11571 17288\n322 475\n17791 26596\n72250 100000\n79841 100000\n79888 100000\n82446 100000\n23274 34841\n50843 76214\n79685 100000\n62955 94416\n78612 100000\n83772 100000\n10947 16335\n67982 100000\n69395 100000\n59995 89945\n85270 100000\n88366 100000\n52738 79063\n21138 31613\n46476 69644\n46446 69601\n95520 100000\n9391 14004\n11 16\n30063 44966\n66248 99368\n13833 20677\n53523 80232\n33496 50105\n1178 1759\n64931 97368\n37379 55988\n43309 64901\n87669 100000\n37906 56772\n91570 100000\n69792 100000\n23208 34737\n58149 87162\n62132 93198\n30086 45000\n25738 38520\n89011 100000\n31819 47618\n26179 39186\n44547 66732\n89153 100000\n56855 85222\n16682 24924\n96563 100000\n44729 66997\n46410 69540\n13440 20099\n27692 41422\n86190 100000\n80306 100000\n8164 12150\n46545 69743\n97958 100000\n31565 47234\n47006 70450\n73969 100000\n63852 95758\n60496 90717\n86136 100000\n66975 100000\n80949 100000\n33989 50844\n32120 48065\n66371 99555\n54899 82284\n15228 22752\n94847 100000\n45844 68680\n92196 100000\n24108 36076\n17509 26168\n49402 74055\n71751 100000\n87851 100000\n86470 100000\n91427 100000\n44870 67203\n31012 46397\n52876 79278\n83334 100000\n70000 100000\n36837 55175\n13604 20339\n3220 4797\n62484 93711\n24048 35991\n58808 88158\n19841 29670\n50172 75208\n28229 42223\n63090 94626\n15056 22495\n94975 100000\n8558 12755\n51681 77469\n3988 5923\n6091 9076\n43322 64918\n34976 52329\n68125 100000\n56560 84780\n86982 100000\n53119 79637\n91883 100000\n84652 100000\n11846 17719\n84516 100000\n44880 67216\n65633 98446\n47932 71847\n33258 49748\n79766 100000\n53798 80653\n55684 83445\n65685 98523\n17790 26594\n24011 35933\n95312 100000\n55641 83384\n65974 98957\n7963 11854\n38948 58329\n63891 95818\n18949 28329\n32899 49212\n19398 29010\n57166 85675\n10481 15648\n89390 100000\n7429 11080\n21450 32083\n54045 81013\n69889 100000\n59258 88824\n82026 100000\n42820 64157\n30977 46349\n5350 7968\n89110 100000\n56466 84632\n60809 91193\n80577 100000\n98226 100000\n30223 45205\n64417 96601\n46377 69489\n52864 79261\n21686 32440\n14281 21340\n17366 25954\n39536 59237\n47685 71466\n28634 42812\n39369 58980\n31153 46601\n34696 51908\n44557 66746\n37240 55773\n58346 87456\n35557 53217\n34431 51521\n7934 11815\n95892 100000\n71223 100000\n45378 67984\n56948 85358\n56282 84354\n58978 88404\n84205 100000\n64238 96327\n68938 100000\n31741 47498\n61203 91784\n51567 77302\n20445 30569\n5954 8869\n69702 100000\n15536 23223\n88020 100000\n16228 24262\n38052 56992\n5590 8323\n75502 100000\n28611 42778\n95334 100000\n39736 59525\n91002 100000\n6512 9706\n38554 57751\n68078 100000\n34047 50929\n25571 38274\n93468 100000\n43682 65465\n47893 71787\n80025 100000\n47721 71518\n46755 70065\n98889 100000\n77316 100000\n94444 100000\n10116 15099\n73529 100000\n90573 100000\n93752 100000\n71364 100000\n72401 100000\n74136 100000\n23209 34738\n23072 34537\n31525 47172\n23629 35364\n21323 31891\n12466 18641\n66570 99853\n68318 100000\n48446 72605\n66221 99329\n65189 97764\n55973 83890\n75164 100000\n1745 2602\n93503 100000\n74621 100000\n64169 96226\n30146 45089\n63392 95069\n26637 39878\n33096 49510\n93809 100000\n44871 67205\n20809 31119\n34837 52114\n67996 100000\n9338 13923\n27089 40537\n68860 100000\n30427 45508\n3537 5258\n25053 37502\n28828 43106\n79606 100000\n55446 83101\n89489 100000\n50849 76222\n77351 100000\n10685 15938\n67500 100000\n67784 100000\n46973 70403\n90017 100000\n39117 58589\n58042 87002\n26261 39312\n77321 100000\n82046 100000\n28566 42711\n34822 52093\n63695 95511\n54300 81399\n19992 29887\n59678 89463\n76654 100000\n59950 89877\n98434 100000\n79105 100000\n22322 33407\n48616 72857\n19457 29095\n98670 100000\n88123 100000\n75136 100000\n32255 48267\n50128 75141\n35360 52904\n28103 42033\n78124 100000\n25243 37781\n1183 1768\n98056 100000\n28850 43135\n59477 89153\n99487 100000\n96910 100000\n86075 100000\n53272 79862\n7535 11236\n25450 38092\n46498 69678\n24705 36983\n61786 92676\n27911 41742\n57999 86936\n16412 24527\n28822 43096\n27544 41199\n45248 67788\n54245 81316\n16255 24303\n68190 100000\n90647 100000\n69438 100000\n42675 63943\n96526 100000\n42975 64400\n77589 100000\n74873 100000\n93571 100000\n19718 29484\n71693 100000\n65482 98224\n12959 19378\n15082 22532\n56290 84366\n72007 100000\n98106 100000\n94426 100000\n90285 100000\n58961 88380\n27688 41418\n46560 69765\n62816 94210\n38297 57356\n22255 33302\n78810 100000\n25133 37618\n3367 5005\n60077 90076\n36373 54468\n55699 83466\n53152 79684\n46275 69330\n2261 3382\n8104 12061\n84990 100000\n38919 58284\n93031 100000\n57602 86332\n83446 100000\n55936 83837\n83509 100000\n10529 15713\n89312 100000\n28859 43151\n84456 100000\n46404 69531\n33691 50395\n96455 100000\n59173 88692\n89679 100000\n97902 100000\n6957 10373\n63719 95547\n32245 48252\n21846 32687\n55853 83706\n99079 100000\n78203 100000\n86987 100000\n64909 97336\n61434 92146\n22775 34090\n17853 26700\n82668 100000\n73571 100000\n49273 73854\n48080 72068\n81405 100000\n1214 1816\n64242 96333\n72304 100000\n77793 100000\n59366 88986\n44028 65978\n73363 100000\n19587 29297\n96487 100000\n84618 100000\n1971 2951\n47271 70850\n79822 100000\n25628 38356\n580 868\n51389 77041\n24180 36190\n59380 89003\n89431 100000\n66401 99600\n85273 100000\n23403 35029\n2724 4063\n98559 100000\n11601 17340\n93397 100000\n16832 25146\n75183 100000\n59987 89931\n70582 100000\n32959 49300\n60687 91012\n11767 17595\n35399 52961\n32008 47896\n15585 23297\n53314 79929\n86547 100000\n80112 100000\n13024 19473\n72329 100000\n17743 26525\n13544 20251\n14668 21913\n47969 71902\n52490 78684\n94443 100000\n71045 100000\n85730 100000\n20405 30510\n34722 51945\n15452 23093\n50795 76144\n36128 54094\n30613 45794\n11386 16995\n73429 100000\n26694 39962\n7538 11241\n6805 10136\n42943 64354\n90820 100000\n86161 100000\n36895 55254\n51396 77049\n96816 100000\n80810 100000\n2615 3913\n17437 26064\n86016 100000\n48982 73409\n61938 92909\n56328 84424\n78031 100000\n9269 13818\n29791 44559\n50794 76142\n86769 100000\n64016 96005\n20996 31394\n55517 83208\n27641 41348\n13923 20808\n57552 86256\n16237 24278\n91379 100000\n70440 100000\n80360 100000\n25106 37580\n79857 100000\n35119 52540\n46800 70132\n75703 100000\n96311 100000\n21402 32008\n16209 24233\n26521 39698\n62076 93116\n24452 36608\n48347 72458\n48131 72146\n77986 100000\n97509 100000\n66336 99502\n27713 41451\n68661 100000\n90890 100000\n55410 83046\n43734 65541\n40361 60466\n25496 38162\n28669 42866\n85313 100000\n56310 84397\n593 887\n8461 12598\n63775 95638\n98008 100000\n79608 100000\n14603 21814\n61239 91842\n5936 8842\n38357 57453\n5411 8062\n60614 90897\n88323 100000\n13672 20433\n42307 63393\n41090 61584\n38073 57024\n54952 82367\n48696 72972\n95311 100000\n96664 100000\n76378 100000\n37241 55775\n62347 93517\n17547 26226\n38846 58183\n41418 62069\n74259 100000\n47540 71257\n38269 57314\n60279 90384\n18083 27031\n37763 56561\n43512 65213\n91871 100000\n48670 72940\n87751 100000\n76345 100000\n34875 52171\n55785 83598\n21399 32004\n41956 62873\n97724 100000\n67909 100000\n37622 56353\n55409 83044\n20591 30789\n16058 24009\n54777 82105\n76020 100000\n39147 58637\n74034 100000\n41918 62814\n49373 74009\n57427 86067\n6771 10079\n69966 100000\n24345 36440\n93695 100000\n66684 100000\n54139 81160\n25892 38749\n86662 100000\n57737 86544\n18701 27963\n86455 100000\n27302 40848\n44321 66405\n84610 100000\n33939 50774\n87116 100000\n8294 12344\n5920 8820\n44722 66989\n81496 100000\n35956 53822\n55347 82952\n19543 29226\n78185 100000\n61871 92805\n30157 45105\n78611 100000\n93961 100000\n75551 100000\n71828 100000\n10336 15424\n80678 100000\n98769 100000\n95944 100000\n50988 76435\n81338 100000\n67931 100000\n75142 100000\n5882 8762\n24204 36227\n89813 100000\n57101 85585\n90888 100000\n56057 84010\n18740 28021\n26353 39453\n98475 100000\n11952 17878\n75361 100000\n90422 100000\n84665 100000\n86462 100000\n65941 98903\n34831 52105\n6993 10427\n99243 100000\n87592 100000\n23473 35133\n80513 100000\n29172 43612\n45377 67983\n14293 21355\n5378 8010\n62664 93981\n2765 4120\n87358 100000\n6430 9583\n22465 33623\n55129 82621\n16519 24690\n29421 43990\n38849 58187\n31201 46674\n6106 9100\n40145 60139\n43581 65315\n96177 100000\n91105 100000\n71211 100000\n76489 100000\n58431 87587\n88301 100000\n99269 100000\n43152 64659\n33924 50750\n82341 100000\n86461 100000\n35149 52585\n34239 51224\n71404 100000\n31191 46659\n81735 100000\n44786 67081\n17697 26456\n65473 98212\n3044 4535\n24598 36828\n71296 100000\n99862 100000\n70822 100000\n98575 100000\n79184 100000\n43965 65887\n34817 52084\n51519 77224\n94293 100000\n31002 46383\n23932 35817\n99323 100000\n27328 40890\n5178 7715\n21757 32543\n45282 67840\n40038 59981\n37492 56159\n20256 30267\n33602 50261\n43660 65429\n14509 21675\n31568 47240\n20319 30377\n51365 77000\n20074 30003\n8797 13112\n3030 4519\n36815 55137\n94071 100000\n91158 100000\n21036 31453\n42579 63798\n83061 100000\n99842 100000\n32331 48378\n60945 91397\n41025 61490\n72183 100000\n34435 51526\n79414 100000\n33714 50430\n98253 100000\n34562 51708\n14093 21059\n43410 65060\n4545 6757\n34051 50934\n26603 39824\n75256 100000\n5539 8253\n91693 100000\n72034 100000\n30337 45370\n63197 94784\n24377 36494\n60889 91312\n73814 100000\n77025 100000\n68928 100000\n37074 55522\n33434 50011\n56019 83957\n60728 91073\n93831 100000\n59316 88909\n67687 100000\n99587 100000\n31999 47884\n37133 55611\n62774 94144\n2803 4181\n39286 58847\n63273 94900\n87956 100000\n40776 61111\n53812 80672\n45963 68857\n60917 91352\n18866 28210\n39818 59648\n9678 14435\n28319 42355\n8322 12390\n26583 39793\n68807 100000\n25532 38211\n53364 79998\n1057 1582\n47241 70808\n66443 99661\n49102 73596\n12385 18525\n34393 51467\n83776 100000\n45593 68302\n96854 100000\n94628 100000\n45543 68228\n14794 22101\n37482 56145\n86743 100000\n32897 49209\n45254 67798\n63055 94568\n48270 72348\n16143 24136\n60284 90393\n83174 100000\n99876 100000\n91927 100000\n74179 100000\n92052 100000\n54574 81805\n3357 4990\n73956 100000\n27056 40485\n39372 58985\n70940 100000\n25167 37666\n14870 22223\n90973 100000\n8508 12675\n35624 53316\n36328 54397\n46863 70232\n65622 98432\n37234 55765\n4834 7189\n93734 100000\n12530 18734\n29247 43726\n65336 97999\n24731 37022\n80730 100000\n17067 25498\n17657 26392\n21346 31926\n42012 62956\n45238 67772\n23982 35891\n76033 100000\n72927 100000\n7688 11466\n88441 100000\n72308 100000\n87623 100000\n24834 37178\n60666 90979\n49503 74208\n25485 38144\n1445 2162\n90079 100000\n99361 100000\n764 1144\n97544 100000\n393 580\n64204 96276\n44643 66868\n36808 55125\n30301 45319\n32312 48352\n50870 76253\n3751 5577\n59810 89671\n94357 100000\n70255 100000\n44606 66816\n24715 36998\n5768 8585\n14809 22124\n61410 92111\n93241 100000\n8534 12716\n75155 100000\n73539 100000\n55036 82491\n14160 21160\n17183 25673\n13415 20060\n23595 35315\n4309 6407\n27310 40861\n44770 67057\n19710 29471\n94831 100000\n49555 74288\n67906 100000\n99543 100000\n95256 100000\n74870 100000\n96808 100000\n622 929\n55511 83198\n81226 100000\n50819 76178\n32421 48507\n52296 78387\n75260 100000\n2095 3142\n60958 91417\n74900 100000\n68504 100000\n9945 14844\n2433 3641\n2695 4022\n96588 100000\n6858 10220\n6402 9543\n61579 92360\n80253 100000\n44546 66730\n50923 76336\n27387 40975\n2404 3601\n58284 87366\n47579 71313\n43958 65877\n65654 98477\n10711 15979\n68273 100000\n30700 45923\n93890 100000\n40997 61446\n50600 75838\n72821 100000\n92726 100000\n24483 36654\n83394 100000\n4172 6207\n1921 2873\n2499 3743\n61717 92578\n81424 100000\n16530 24709\n43301 64888\n46564 69772\n85698 100000\n87181 100000\n49236 73799\n66364 99544\n46213 69238\n27666 41383\n93549 100000\n45487 68145\n26871 40214\n54086 81077\n13649 20402\n81506 100000\n54013 80966\n97087 100000\n83419 100000\n40701 60993\n76462 100000\n27094 40545\n49420 74082\n83032 100000\n78568 100000\n37270 55818\n62656 93969\n86409 100000\n20577 30767\n72109 100000\n43929 65836\n46309 69385\n11708 17507\n59048 88508\n3753 5581\n4031 5987\n56522 84725\n43026 64480\n99310 100000\n35172 52619\n66974 100000\n72710 100000\n43174 64688\n83308 100000\n63626 95410\n75956 100000\n17140 25606\n25574 38280\n32910 49226\n42485 63660\n962 1440\n50477 75662\n63374 95044\n6834 10179\n56395 84528\n89921 100000\n97998 100000\n83151 100000\n85655 100000\n93556 100000\n52967 79421\n57387 86004\n31572 47245\n9053 13502\n62764 94130\n36255 54290\n67785 100000\n24672 36936\n4220 6278\n49723 74537\n46121 69101\n40217 60248\n40673 60950\n10006 14938\n51889 77777\n72876 100000\n89318 100000\n66839 100000\n49957 74895\n77885 100000\n43372 64995\n7400 11038\n76874 100000\n3975 5905\n98074 100000\n20374 30461\n72879 100000\n5135 7644\n333 489\n56167 84182\n6653 9907\n80780 100000\n89108 100000\n91540 100000\n60505 90731\n84757 100000\n3072 4578\n21099 31552\n41406 62052\n81050 100000\n96441 100000\n38980 58380\n66904 100000\n30317 45341\n24005 35927\n20912 31271\n83212 100000\n54735 82044\n78997 100000\n70809 100000\n50563 75790\n48952 73366\n8101 12058\n345 508\n9942 14841\n4651 6916\n22535 33727\n47550 71272\n79511 100000\n44585 66788\n80374 100000\n66330 99493\n6463 9632\n74166 100000\n60254 90347\n70984 100000\n63135 94691\n75809 100000\n79850 100000\n40328 60416\n6954 10368\n10593 15811\n78343 100000\n76144 100000\n97651 100000\n763 1143\n33871 50666\n72688 100000\n2530 3790\n95361 100000\n93088 100000\n75514 100000\n10914 16285\n18852 28188\n93439 100000\n35638 53333\n8142 12119\n81185 100000\n26204 39224\n37636 56375\n62435 93640\n80432 100000\n84465 100000\n54020 80977\n53604 80359\n69871 100000\n83755 100000\n41980 62910\n21521 32189\n19344 28930\n80896 100000\n68674 100000\n87661 100000\n62469 93686\n66222 99331\n58537 87746\n30116 45046\n1073 1609\n48480 72658\n23373 34984\n25371 37973\n71150 100000\n74869 100000\n51088 76580\n468 699\n46974 70404\n88262 100000\n80081 100000\n44843 67161\n44862 67192\n35026 52405\n44889 67232\n4927 7331\n42639 63888\n9218 13742\n96791 100000\n72096 100000\n37002 55412\n66535 99801\n65910 98852\n23388 35006\n68118 100000\n71004 100000\n47313 70916\n10388 15508\n70877 100000\n84306 100000\n52097 78089\n49668 74457\n36879 55234\n16757 25037\n41928 62829\n60745 91100\n70908 100000\n7475 11145\n71946 100000\n91876 100000\n1802 2693\n53267 79856\n98813 100000\n84751 100000\n70365 100000\n28830 43108\n7212 10753\n88537 100000\n78872 100000\n83813 100000\n23213 34744\n35367 52914\n82731 100000\n58381 87513\n16877 25216\n79272 100000\n25506 38178\n90740 100000\n71783 100000\n64943 97387\n81425 100000\n11354 16950\n39043 58473\n61007 91487\n8387 12485\n16728 24995\n81909 100000\n66342 99509\n70021 100000\n6103 9095\n14153 21148\n82470 100000\n88285 100000\n32568 48713\n74879 100000\n74122 100000\n57095 85576\n93716 100000\n94152 100000\n77081 100000\n37840 56670\n49847 74727\n17574 26265\n341 502\n68844 100000\n95320 100000\n8590 12802\n55462 83125\n15468 23118\n99231 100000\n42857 64216\n95868 100000\n23902 35774\n38294 57352\n47457 71130\n83647 100000\n735 1097\n86048 100000\n26351 39449\n36434 54556\n70568 100000\n11033 16465\n32900 49213\n48203 72245\n75477 100000\n64625 96907\n79928 100000\n97120 100000\n52542 78757\n33897 50704\n78737 100000\n59222 88766\n70216 100000\n19399 29011\n37305 55873\n68112 100000\n13497 20184\n816 1222\n77822 100000\n58347 87458\n39378 58995\n10678 15928\n75320 100000\n19641 29372\n54922 82318\n55269 82834\n30206 45180\n55024 82473\n83117 100000\n79527 100000\n16155 24154\n72485 100000\n74338 100000\n30889 46223\n13444 20104\n44985 67384\n18332 27407\n21181 31674\n311 458\n5390 8029\n96995 100000\n92568 100000\n95494 100000\n68437 100000\n73514 100000\n9293 13856\n69649 100000\n22065 33012\n75757 100000\n52539 78753\n37718 56496\n42016 62962\n58128 87130\n44376 66482\n61554 92324\n79878 100000\n82183 100000\n25454 38100\n40035 59977\n48923 73319\n55465 83131\n26890 40243\n70566 100000\n72944 100000\n35583 53255\n35849 53659\n46582 69799\n98671 100000\n24347 36444\n73005 100000\n38902 58265\n18024 26941\n88068 100000\n24617 36858\n77587 100000\n98432 100000\n50763 76093\n49689 74490\n7754 11558\n81595 100000\n89657 100000\n73102 100000\n60128 90155\n94492 100000\n20590 30787\n62358 93531\n15789 23604\n64663 96966\n37948 56830\n86610 100000\n72776 100000\n77498 100000\n94963 100000\n5756 8567\n8814 13141\n51813 77669\n41698 62480\n95714 100000\n14180 21187\n3284 4890\n99940 100000\n52078 78061\n20798 31104\n93922 100000\n63828 95718\n55425 83070\n2465 3688\n65005 97480\n11703 17499\n75032 100000\n50283 75375\n13982 20896\n87247 100000\n1036 1551\n3296 4907\n94695 100000\n77690 100000\n33415 49979\n2366 3541\n33722 50443\n49339 73957\n91009 100000\n32341 48393\n67335 100000\n45738 68524\n42816 64151\n72742 100000\n77407 100000\n80005 100000\n34638 51821\n58220 87268\n98218 100000\n14409 21525\n55186 82709\n41078 61569\n17191 25684\n12183 18226\n65779 98664\n86428 100000\n33666 50358\n77677 100000\n61387 92075\n23907 35779\n25857 38702\n90515 100000\n98874 100000\n88649 100000\n58505 87701\n23842 35682\n77059 100000\n63990 95971\n13526 20224\n87189 100000\n90517 100000\n36601 54812\n24244 36289\n35139 52572\n85083 100000\n76442 100000\n32997 49354\n3465 5147\n68764 100000\n23447 35093\n7386 11016\n83990 100000\n8952 13350\n39064 58507\n94470 100000\n91377 100000\n63310 94954\n80632 100000\n11449 17096\n13100 19590\n38758 58056\n21721 32494\n85795 100000\n91420 100000\n63195 94781\n94814 100000\n25923 38798\n97931 100000\n93253 100000\n74770 100000\n18221 27235\n81419 100000\n815 1220\n47973 71908\n55388 83011\n73317 100000\n12179 18221\n427 634\n65393 98085\n41103 61606\n77095 100000\n69108 100000\n5658 8421\n13517 20213\n85084 100000\n45170 67666\n12737 19047\n77736 100000\n77624 100000\n2117 3174\n21809 32625\n91276 100000\n14421 21539\n17723 26494\n20101 30044\n42790 64110\n84136 100000\n99039 100000\n64207 96281\n66473 99707\n27932 41773\n93873 100000\n33447 50027\n95656 100000\n67104 100000\n20697 30952\n54882 82260\n43210 64739\n76232 100000\n69213 100000\n56132 84126\n70715 100000\n93686 100000\n84001 100000\n53073 79572\n47327 70935\n95285 100000\n5678 8449\n43521 65225\n83378 100000\n10417 15557\n38048 56986\n63013 94504\n83928 100000\n49270 73849\n20122 30075\n53687 80485\n52016 77966\n92534 100000\n43811 65656\n87542 100000\n91749 100000\n12115 18133\n46086 69046\n73009 100000\n76109 100000\n63142 94702\n8217 12230\n25168 37668\n38669 57919\n6986 10417\n27935 41776\n83835 100000\n63042 94550\n54672 81945\n98512 100000\n58556 87771\n29112 43522\n5353 7974\n16768 25055\n18555 27738\n30631 45821\n88132 100000\n19171 28667\n12330 18442\n84739 100000\n12384 18523\n37596 56315\n40251 60299\n78833 100000\n99655 100000\n42411 63554\n84593 100000\n47410 71059\n49518 74231\n97144 100000\n54847 82210\n17302 25851\n81262 100000\n71902 100000\n7229 10780\n11294 16860\n63332 94987\n2818 4201\n12028 17998\n21384 31982\n57504 86187\n9503 14174\n86067 100000\n17572 26261\n99057 100000\n81752 100000\n62706 94043\n91776 100000\n14266 21314\n92844 100000\n34923 52246\n76408 100000\n87943 100000\n44259 66318\n63417 95108\n23406 35033\n33745 50479\n86949 100000\n82305 100000\n55008 82449\n85765 100000\n47404 71049\n13662 20418\n98484 100000\n52083 78068\n36813 55134\n28499 42616\n13058 19528\n31593 47273\n53860 80742\n85726 100000\n49757 74587\n96936 100000\n48633 72885\n25528 38206\n73839 100000\n94790 100000\n31562 47229\n22277 33336\n5765 8580\n24326 36412\n41138 61656\n60500 90724\n31901 47737\n79678 100000\n30156 45104\n30742 45993\n47800 71642\n88669 100000\n50211 75264\n75731 100000\n1132 1695\n77136 100000\n12174 18213\n89744 100000\n90972 100000\n77562 100000\n55796 83614\n5199 7746\n20314 30369\n5473 8157\n81704 100000\n14987 22395\n73578 100000\n9928 14820\n65587 98380\n17138 25603\n6185 9225\n41436 62098\n95966 100000\n39338 58928\n42120 63118\n80397 100000\n90445 100000\n9353 13947\n58883 88264\n11789 17629\n38337 57422\n164 243\n8193 12194\n50738 76056\n18846 28177\n90240 100000\n66403 99603\n53738 80562\n961 1438\n17939 26819\n13242 19800\n66812 100000\n85296 100000\n14506 21671\n74048 100000\n19328 28904\n1002 1501\n97461 100000\n56261 84320\n10067 15029\n69255 100000\n33282 49784\n39554 59259\n51960 77888\n51716 77525\n48436 72587\n91899 100000\n71262 100000\n17074 25509\n31408 46994\n20320 30378\n56271 84336\n88841 100000\n67756 100000\n79378 100000\n48012 71962\n31224 46707\n93461 100000\n55638 83381\n89461 100000\n36108 54064\n32463 48571\n74100 100000\n55311 82899\n33128 49561\n68208 100000\n44222 66266\n11313 16889\n42960 64379\n53903 80805\n28845 43127\n45085 67534\n67444 100000\n70425 100000\n84252 100000\n1597 2378\n38016 56937\n75399 100000\n73419 100000\n51701 77502\n76043 100000\n17866 26720\n43443 65109\n38358 57455\n84632 100000\n71127 100000\n822 1231\n21051 31478\n81986 100000\n78814 100000\n94923 100000\n13243 19801\n71616 100000\n8967 13375\n11039 16475\n38822 58149\n77427 100000\n6021 8970\n37580 56289\n12299 18403\n16406 24518\n48492 72676\n56140 84141\n31467 47087\n83118 100000\n66693 100000\n72855 100000\n93479 100000\n45054 67479\n65285 97913\n37357 55951\n98935 100000\n57112 85601\n43376 65002\n53118 79635\n49081 73563\n21629 32352\n37018 55437\n15715 23491\n39016 58434\n54088 81080\n32566 48711\n28729 42959\n85002 100000\n39474 59142\n74925 100000\n14770 22065\n59800 89654\n28853 43140\n47927 71838\n90766 100000\n68182 100000\n65418 98127\n19832 29659\n62900 94333\n30233 45221\n98967 100000\n16560 24749\n36216 54232\n63771 95633\n26237 39275\n92101 100000\n18438 27560\n43604 65353\n31432 47032\n69353 100000\n2483 3718\n44498 66660\n6277 9363\n71962 100000\n45514 68184\n28296 42322\n18871 28217\n40750 61071\n87846 100000\n55268 82832\n89369 100000\n49204 73754\n68518 100000\n50434 75600\n43180 64695\n57364 85971\n53176 79719\n64539 96781\n37470 56128\n61608 92408\n90497 100000\n4592 6829\n73830 100000\n1406 2104\n39864 59718\n82245 100000\n36585 54788\n67417 100000\n77934 100000\n46497 69676\n80815 100000\n18104 27064\n49843 74722\n93090 100000\n15968 23882\n23834 35670\n78818 100000\n15057 22496\n77391 100000\n16567 24758\n40352 60453\n75314 100000\n78513 100000\n17245 25763\n379 556\n75331 100000\n18395 27498\n63641 95428\n20639 30864\n67231 100000\n75526 100000\n10135 15127\n10928 16306\n73713 100000\n96764 100000\n98308 100000\n19019 28439\n54796 82134\n52818 79190\n3517 5224\n25229 37763\n58375 87502\n1414 2116\n65731 98592\n19897 29748\n33618 50284\n27654 41363\n87675 100000\n36885 55241\n34373 51433\n25188 37699\n90499 100000\n32480 48595\n29453 44036\n43001 64439\n9162 13663\n87948 100000\n12596 18834\n78944 100000\n19169 28663\n24663 36923\n14344 21428\n22435 33578\n3164 4715\n50015 74984\n4398 6538\n21107 31564\n92553 100000\n87828 100000\n9139 13628\n87642 100000\n31222 46703\n52265 78343\n63010 94499\n81809 100000\n90024 100000\n14375 21473\n74731 100000\n30536 45670\n65584 98375\n88581 100000\n31300 46829\n45120 67590\n22312 33390\n40748 61068\n3789 5631\n96659 100000\n89053 100000\n37615 56341\n75296 100000\n91381 100000\n10231 15265\n16073 24032\n99055 100000\n93040 100000\n11072 16521\n52758 79093\n45099 67558\n49378 74016\n34187 51139\n61949 92923\n95762 100000\n21443 32070\n66098 99146\n10798 16108\n15041 22474\n91608 100000\n12442 18605\n61522 92274\n90936 100000\n75005 100000\n84832 100000\n967 1447\n76652 100000\n39049 58484\n197 292\n44735 67007\n21248 31782\n65484 98227\n74594 100000\n85906 100000\n76465 100000\n34275 51280\n28157 42115\n64815 97195\n63328 94980\n29755 44503\n77373 100000\n2801 4177\n573 858\n61218 91805\n59586 89320\n57122 85613\n73400 100000\n10986 16392\n56519 84721\n76784 100000\n20096 30035\n71443 100000\n26889 40242\n28764 43011\n3864 5739\n52188 78229\n26318 39397\n54388 81528\n7089 10569\n76710 100000\n6790 10115\n33809 50572\n97301 100000\n36208 54219\n34046 50927\n49280 73864\n11151 16637\n13064 19538\n28285 42307\n2258 3377\n47706 71497\n40667 60940\n8275 12314\n9097 13564\n5028 7485\n3406 5060\n95182 100000\n4208 6260\n18365 27455\n18318 27384\n59556 89275\n4116 6116\n27616 41309\n38479 57641\n60399 90568\n35048 52437\n71980 100000\n87500 100000\n71035 100000\n4494 6685\n86607 100000\n77654 100000\n67683 100000\n6110 9105\n68205 100000\n34459 51560\n23050 34508\n95967 100000\n10061 15020\n69228 100000\n37343 55932\n31465 47084\n62924 94372\n26977 40375\n37003 55414\n47200 70749\n21326 31896\n23342 34939\n81117 100000\n21352 31934\n76443 100000\n64383 96547\n54377 81514\n76324 100000\n5973 8894\n99104 100000\n72330 100000\n91750 100000\n24034 35968\n55477 83147\n36002 53892\n6034 8992\n61912 92870\n21905 32777\n50028 75000\n93746 100000\n92470 100000\n33756 50495\n63144 94706\n25013 37441\n3811 5661\n19977 29865\n40690 60975\n80405 100000\n87782 100000\n6352 9471\n9697 14466\n66762 100000\n11477 17143\n31281 46798\n36824 55153\n69668 100000\n58097 87083\n66474 99708\n30433 45517\n49783 74631\n5908 8803\n84677 100000\n12623 18875\n12773 19102\n29999 44871\n48886 73264\n47084 70568\n37275 55826\n26543 39733\n8700 12960\n94414 100000\n30294 45311\n85311 100000\n28906 43215\n48646 72902\n4299 6395\n28234 42229\n49087 73571\n56202 84234\n99931 100000\n37198 55709\n79829 100000\n31142 46583\n18045 26973\n52141 78153\n18714 27981\n88250 100000\n56367 84484\n19765 29559\n31938 47794\n67896 100000\n76454 100000\n10187 15197\n46222 69253\n9613 14339\n10348 15443\n96612 100000\n95592 100000\n44024 65971\n91836 100000\n51675 77461\n23380 34994\n19804 29615\n8038 11963\n30372 45426\n46409 69538\n26673 39932\n36864 55216\n5110 7609\n26289 39353\n1099 1645\n1815 2711\n61534 92292\n92625 100000\n15534 23219\n73230 100000\n78915 100000\n96060 100000\n2350 3519\n90183 100000\n76168 100000\n16299 24362\n63858 95768\n71246 100000\n17159 25635\n41930 62831\n74961 100000\n44571 66768\n19689 29442\n38979 58378\n40823 61188\n72824 100000\n29071 43468\n81159 100000\n84149 100000\n11915 17819\n55581 83299\n6643 9891\n71477 100000\n72142 100000\n26991 40393\n71361 100000\n71664 100000\n96528 100000\n71865 100000\n33576 50223\n43324 64921\n72686 100000\n87862 100000\n30903 46243\n75542 100000\n9911 14793\n74501 100000\n79401 100000\n76054 100000\n74933 100000\n78471 100000\n53711 80521\n3582 5324\n20231 30230\n81534 100000\n87971 100000\n90690 100000\n80692 100000\n92907 100000\n21039 31459\n11361 16959\n930 1394\n92755 100000\n97798 100000\n66827 100000\n68353 100000\n76472 100000\n36723 54997\n74307 100000\n48498 72685\n3142 4679\n55955 83864\n87525 100000\n69872 100000\n1062 1590\n91915 100000\n19089 28542\n42584 63806\n10660 15900\n26396 39517\n14128 21111\n67894 100000\n10933 16313\n78362 100000\n48898 73284\n68669 100000\n54222 81281\n5560 8283\n27286 40825\n89018 100000\n90321 100000\n18633 27851\n96679 100000\n60534 90778\n7088 10567\n33037 49417\n64558 96808\n99183 100000\n86616 100000\n14341 21423\n68558 100000\n95050 100000\n13983 20897\n83083 100000\n17008 25413\n23515 35197\n25165 37663\n83464 100000\n62665 93982\n79777 100000\n39700 59470\n72757 100000\n45960 68852\n7377 11000\n33699 50406\n22254 33300\n94191 100000\n26988 40389\n94236 100000\n48235 72293\n99608 100000\n75127 100000\n1966 2943\n85502 100000\n68941 100000\n15595 23309\n34277 51284\n92331 100000\n44477 66626\n91055 100000\n1638 2435\n84298 100000\n2448 3663\n4941 7348\n94024 100000\n5545 8263\n3645 5420\n44345 66442\n84772 100000\n41669 62439\n23365 34976\n56068 84025\n86485 100000\n29629 44311\n73176 100000\n11019 16445\n89321 100000\n69007 100000\n53436 80104\n91422 100000\n61062 91571\n63430 95127\n33137 49573\n92628 100000\n5925 8827\n59360 88978\n38378 57486\n58307 87404\n48429 72579\n46619 69859\n50109 75118\n12595 18832\n32774 49017\n84892 100000\n47941 71862\n24902 37273\n84297 100000\n77096 100000\n36860 55210\n52755 79089\n94824 100000\n17932 26808\n34364 51419\n30925 46275\n46332 69417\n60225 90304\n84930 100000\n38742 58034\n905 1354\n31379 46950\n68706 100000\n60431 90619\n41265 61842\n65759 98638\n32637 48813\n62519 93765\n72804 100000\n73359 100000\n39547 59251\n1637 2434\n75494 100000\n37425 56054\n34505 51630\n29186 43635\n87921 100000\n49492 74192\n66348 99520\n17337 25907\n5666 8433\n80570 100000\n26463 39618\n81152 100000\n43097 64580\n41663 62431\n121 177\n31150 46595\n85362 100000\n79016 100000\n27425 41031\n13133 19643\n6864 10231\n99852 100000\n69915 100000\n12224 18285\n34863 52151\n9970 14880\n19850 29684\n79156 100000\n98003 100000\n43804 65646\n605 903\n49987 74940\n97593 100000\n48312 72404\n77307 100000\n22069 33019\n84539 100000\n28746 42986\n68230 100000\n53777 80620\n84908 100000\n21631 32356\n82415 100000\n60780 91149\n80084 100000\n84843 100000\n71240 100000\n34426 51515\n60088 90091\n41373 62000\n44143 66153\n21046 31471\n92045 100000\n11464 17120\n35942 53802\n13320 19920\n10549 15744\n96631 100000\n14289 21350\n23295 34875\n48325 72425\n74554 100000\n85010 100000\n10515 15695\n89070 100000\n75373 100000\n54660 81925\n58544 87755\n55729 83513\n76190 100000\n932 1397\n70651 100000\n38492 57661\n87964 100000\n9358 13954\n67090 100000\n97578 100000\n67360 100000\n28009 41890\n80018 100000\n23416 35049\n10541 15730\n12740 19053\n38029 56955\n73669 100000\n7874 11732\n5801 8636\n33067 49466\n77646 100000\n97932 100000\n96169 100000\n85690 100000\n71468 100000\n32669 48860\n54705 81997\n72493 100000\n92658 100000\n22002 32919\n282 415\n13560 20277\n17871 26729\n63920 95865\n59434 89084\n94915 100000\n22475 33636\n7545 11251\n73295 100000\n85673 100000\n4775 7098\n82979 100000\n66335 99500\n28160 42120\n19103 28566\n34592 51755\n54820 82170\n20082 30016\n16853 25179\n24976 37382\n54394 81538\n55207 82740\n24261 36312\n54415 81565\n30665 45871\n57284 85848\n62107 93162\n34971 52321\n90237 100000\n51877 77760\n71471 100000\n16904 25257\n27032 40450\n46471 69637\n2218 3317\n27576 41248\n9845 14697\n26162 39165\n4077 6053\n42330 63425\n5269 7847\n49710 74517\n8289 12335\n14449 21582\n42891 64267\n89314 100000\n22379 33498\n3313 4928\n56074 84033\n90275 100000\n4493 6684\n43285 64862\n54901 82286\n54549 81774\n54869 82244\n96706 100000\n88396 100000\n93167 100000\n2969 4428\n81360 100000\n2871 4287\n19045 28474\n67907 100000\n66382 99571\n24349 36448\n39163 58661\n51557 77288\n95804 100000\n88511 100000\n59351 88964\n71268 100000\n62225 93336\n61979 92970\n71999 100000\n10509 15685\n52610 78863\n38392 57507\n67511 100000\n28096 42022\n11857 17736\n73622 100000\n49512 74222\n61082 91604\n77808 100000\n10615 15840\n90346 100000\n97355 100000\n2054 3077\n93979 100000\n57767 86586\n95197 100000\n43672 65451\n33591 50245\n2766 4121\n63272 94898\n54758 82077\n40244 60289\n31657 47367\n49714 74523\n36260 54296\n45098 67556\n64773 97131\n15525 23205\n12293 18396\n84967 100000\n37455 56103\n61222 91811\n78617 100000\n80315 100000\n10687 15941\n30254 45252\n64157 96210\n93466 100000\n39589 59308\n72730 100000\n45992 68904\n46848 70209\n45743 68531\n63582 95346\n58237 87293\n12714 19012\n64640 96931\n62882 94306\n96047 100000\n75077 100000\n90487 100000\n68379 100000\n70662 100000\n33242 49723\n6109 9104\n99289 100000\n97182 100000\n62690 94019\n84878 100000\n64505 96727\n17010 25416\n35441 53030\n68044 100000\n58923 88319\n84963 100000\n46916 70313\n17349 25928\n22982 34412\n51781 77616\n40565 60784\n16964 25348\n68331 100000\n28508 42630\n36863 55214\n74967 100000\n54665 81933\n40691 60976\n65760 98639\n65883 98815\n45372 67975\n73834 100000\n96693 100000\n69497 100000\n77706 100000\n24133 36115\n98795 100000\n95611 100000\n8155 12139\n56617 84862\n41528 62237\n10635 15866\n86942 100000\n18491 27640\n2779 4141\n7103 10589\n89084 100000\n32883 49184\n27574 41245\n95541 100000\n37993 56901\n15851 23698\n98471 100000\n79247 100000\n2606 3901\n65809 98707\n50063 75053\n42693 63967\n24924 37305\n53852 80730\n34930 52257\n98799 100000\n93561 100000\n60744 91098\n56966 85383\n851 1276\n28138 42086\n68635 100000\n59290 88875\n62443 93652\n13455 20119\n30966 46333\n47675 71452\n8969 13377\n35309 52824\n54931 82333\n76013 100000\n83390 100000\n7492 11172\n86558 100000\n59124 88618\n94981 100000\n30136 45077\n45295 67861\n59992 89939\n64117 96149\n7130 10632\n75851 100000\n81335 100000\n5147 7662\n19022 28444\n57023 85468\n57659 86422\n46290 69354\n87585 100000\n14440 21568\n433 644\n20235 30235\n29724 44457\n26708 39981\n78641 100000\n36774 55075\n85612 100000\n1014 1518\n5051 7524\n74060 100000\n50067 75059\n47324 70931\n16661 24894\n98901 100000\n80321 100000\n66609 99913\n1402 2097\n29542 44172\n55115 82603\n38800 58116\n67806 100000\n44579 66779\n88238 100000\n63611 95387\n40396 60518\n67542 100000\n79355 100000\n54813 82160\n40207 60231\n27822 41614\n61529 92286\n90332 100000\n92759 100000\n87906 100000\n42786 64105\n16737 25007\n84166 100000\n42471 63642\n52702 79005\n12558 18776\n45452 68091\n65555 98333\n17742 26523\n68934 100000\n28126 42068\n14355 21444\n40817 61178\n77481 100000\n73856 100000\n88398 100000\n73790 100000\n94410 100000\n27788 41562\n49380 74019\n72980 100000\n63421 95113\n95245 100000\n36882 55237\n66066 99093\n88607 100000\n8406 12510\n38989 58393\n98972 100000\n27583 41259\n41853 62716\n83731 100000\n5490 8181\n45388 67997\n22187 33196\n49198 73744\n94352 100000\n41206 61762\n91666 100000\n48428 72578\n57061 85528\n86139 100000\n70042 100000\n83882 100000\n75880 100000\n27539 41194\n78731 100000\n70433 100000\n90466 100000\n98620 100000\n62574 93846\n12018 17981\n76181 100000\n1506 2247\n96046 100000\n64825 97211\n93344 100000\n25180 37686\n14953 22349\n51826 77685\n25808 38630\n79834 100000\n73116 100000\n34273 51278\n37278 55830\n73881 100000\n722 1078\n5418 8073\n60669 90984\n25145 37633\n64370 96527\n8057 11987\n17182 25672\n68099 100000\n21681 32434\n34777 52025\n73612 100000\n48606 72844\n23626 35360\n80633 100000\n74688 100000\n6403 9545\n1880 2814\n48825 73171\n38308 57373\n19996 29893\n32932 49257\n79316 100000\n63762 95617\n53979 80919\n96719 100000\n61829 92737\n22897 34283\n53997 80947\n95370 100000\n88134 100000\n46434 69582\n92114 100000\n47623 71376\n89245 100000\n343 505\n36890 55248\n70617 100000\n69132 100000\n4963 7384\n93365 100000\n25212 37741\n25210 37738\n52146 78161\n6128 9134\n11001 16416\n80053 100000\n65132 97674\n86212 100000\n45974 68875\n50105 75112\n370 543\n52412 78563\n43969 65893\n2163 3238\n6189 9232\n72182 100000\n41 60\n50409 75568\n71235 100000\n60799 91180\n58777 88106\n20685 30932\n50934 76352\n60946 91399\n9092 13557\n26784 40091\n65181 97752\n37747 56534\n65110 97640\n63643 95431\n59493 89177\n80221 100000\n72847 100000\n47918 71824\n1883 2819\n19721 29488\n51001 76454\n82631 100000\n32700 48906\n84097 100000\n64526 96760\n68631 100000\n55306 82891\n1788 2672\n5202 7751\n37434 56068\n8669 12915\n81605 100000\n95940 100000\n60485 90703\n69754 100000\n16443 24573\n67082 100000\n67670 100000\n30083 44996\n41578 62304\n49917 74833\n31096 46519\n86858 100000\n92985 100000\n40418 60549\n68754 100000\n95308 100000\n94696 100000\n22398 33525\n28259 42268\n50631 75882\n53749 80579\n74367 100000\n68822 100000\n22135 33123\n18041 26968\n17257 25783\n5302 7893\n50899 76300\n27857 41665\n95371 100000\n37448 56089\n27843 41644\n54524 81735\n70151 100000\n11370 16971\n15177 22671\n74139 100000\n28056 41959\n60039 90017\n87084 100000\n95760 100000\n48419 72565\n91622 100000\n44618 66832\n59900 89797\n49254 73826\n90347 100000\n64645 96938\n59029 88479\n28515 42640\n70939 100000\n6477 9655\n83561 100000\n86189 100000\n12608 18850\n21594 32299\n23471 35130\n68681 100000\n69344 100000\n80308 100000\n8416 12524\n21742 32521\n65942 98905\n26458 39610\n69367 100000\n54122 81133\n31582 47258\n30356 45400\n63515 95249\n54402 81549\n98704 100000\n50275 75364\n20309 30359\n60179 90229\n20273 30297\n52093 78083\n24750 37051\n34310 51335\n99527 100000\n49193 73738\n37382 55993\n52668 78957\n86707 100000\n3905 5799\n9868 14727\n76220 100000\n10221 15250\n86032 100000\n71627 100000\n6925 10324\n71786 100000\n14748 22034\n3292 4902\n54682 81959\n58444 87607\n68880 100000\n4757 7071\n85209 100000\n89488 100000\n93423 100000\n45908 68775\n82611 100000\n75587 100000\n79066 100000\n14141 21129\n62826 94225\n45232 67763\n73515 100000\n74469 100000\n15513 23183\n45361 67957\n55943 83846\n4151 6172\n89301 100000\n28052 41953\n70544 100000\n48753 73059\n71269 100000\n69528 100000\n53642 80418\n98385 100000\n68489 100000\n5017 7467\n51784 77621\n29113 43523\n2854 4256\n10559 15758\n1799 2689\n6153 9179\n22037 32970\n37658 56408\n25283 37841\n69986 100000\n70923 100000\n97686 100000\n78178 100000\n30699 45921\n24352 36453\n79733 100000\n6928 10328\n16750 25027\n58605 87847\n57733 86539\n62388 93571\n88788 100000\n79040 100000\n68743 100000\n34375 51437\n70876 100000\n61436 92148\n52250 78322\n30469 45570\n14240 21276\n24573 36791\n83548 100000\n49144 73662\n47205 70755\n28520 42648\n87197 100000\n40336 60429\n46969 70396\n6012 8958\n82965 100000\n5426 8086\n94734 100000\n16326 24404\n1330 1989\n62797 94179\n35584 53257\n72644 100000\n59742 89560\n31386 46961\n65597 98396\n18302 27358\n86333 100000\n65612 98416\n42262 63329\n98664 100000\n95993 100000\n17861 26712\n94190 100000\n20266 30284\n57024 85470\n22276 33335\n24267 36320\n4070 6041\n35974 53848\n52106 78100\n92140 100000\n44060 66026\n95716 100000\n37852 56689\n54774 82100\n91473 100000\n91339 100000\n57259 85815\n60993 91467\n61815 92718\n96815 100000\n20499 30649\n50439 75606\n55322 82914\n40879 61270\n93728 100000\n63115 94666\n63725 95556\n34246 51235\n51865 77743\n48993 73427\n4815 7161\n24251 36299\n12825 19181\n52964 79418\n55256 82815\n84239 100000\n60023 89990\n15594 23308\n65481 98223\n57096 85577\n88916 100000\n8900 13270\n11198 16713\n80610 100000\n74229 100000\n35508 53142\n3202 4771\n49004 73440\n62683 94008\n46148 69144\n98285 100000\n92161 100000\n91784 100000\n96924 100000\n87913 100000\n56953 85364\n68372 100000\n64944 97388\n39734 59521\n42301 63386\n67540 100000\n46438 69588\n62468 93685\n61998 92996\n7980 11880\n80548 100000\n75417 100000\n26182 39191\n71553 100000\n67457 100000\n80895 100000\n43905 65803\n34789 52043\n48637 72890\n79110 100000\n82727 100000\n94533 100000\n22184 33193\n59269 88841\n15742 23532\n20407 30512\n3655 5433\n51373 77016\n57555 86261\n27367 40944\n81671 100000\n26260 39310\n157 233\n73961 100000\n84943 100000\n84608 100000\n23944 35836\n5476 8162\n89950 100000\n15957 23863\n6424 9573\n92579 100000\n90950 100000\n34902 52215\n56346 84451\n82560 100000\n23658 35410\n92390 100000\n59730 89544\n38513 57693\n19316 28886\n6878 10254\n66289 99430\n56307 84393\n26775 40079\n94722 100000\n12217 18275\n58172 87197\n18811 28123\n35336 52863\n52355 78472\n29363 43901\n77784 100000\n31685 47407\n19794 29600\n91680 100000\n72988 100000\n88388 100000\n9058 13508\n9903 14781\n33886 50688\n3799 5646\n73805 100000\n61620 92426\n36134 54102\n21532 32205\n55352 82958\n3547 5273\n88858 100000\n22431 33572\n89309 100000\n23500 35177\n24155 36149\n86120 100000\n89243 100000\n73796 100000\n76591 100000\n22096 33058\n85805 100000\n82717 100000\n88872 100000\n54038 81003\n8875 13234\n58596 87834\n93537 100000\n355 519\n47011 70458\n49106 73604\n38292 57350\n64902 97325\n63887 95813\n90427 100000\n74541 100000\n56411 84550\n33623 50292\n88657 100000\n59760 89590\n70294 100000\n51318 76928\n18572 27761\n81198 100000\n48598 72831\n15718 23495\n32714 48926\n68303 100000\n57647 86404\n86939 100000\n48560 72777\n53776 80618\n15176 22669\n43586 65324\n99841 100000\n96535 100000\n93058 100000\n86682 100000\n33228 49701\n86158 100000\n21017 31428\n6144 9164\n49263 73838\n9357 13952\n36402 54508\n99521 100000\n81468 100000\n73574 100000\n85725 100000\n68567 100000\n35550 53207\n37905 56771\n8490 12647\n32847 49129\n92822 100000\n97401 100000\n53887 80784\n74524 100000\n15876 23738\n64227 96313\n11465 17122\n98173 100000\n68793 100000\n44476 66625\n18952 28335\n60369 90523\n70032 100000\n88400 100000\n13419 20066\n41286 61871\n32220 48215\n81959 100000\n16540 24724\n89470 100000\n10218 15246\n66918 100000\n6255 9330\n32139 48092\n31764 47530\n1307 1957\n65063 97563\n96733 100000\n67598 100000\n49251 73822\n64533 96771\n69842 100000\n59653 89425\n10764 16056\n65294 97928\n60478 90691\n66727 100000\n873 1308\n82871 100000\n9065 13516\n2480 3713\n56476 84650\n53920 80830\n32272 48292\n34657 51846\n70194 100000\n63586 95353\n473 705\n74653 100000\n25404 38023\n11529 17227\n60038 90015\n8336 12409\n18381 27478\n9910 14791\n94153 100000\n40969 61406\n48006 71953\n9563 14270\n94974 100000\n44610 66822\n80484 100000\n14586 21788\n63409 95094\n64295 96413\n34567 51716\n87290 100000\n27627 41327\n35227 52705\n34285 51297\n84081 100000\n83892 100000\n46066 69020\n51504 77202\n23610 35338\n878 1318\n56717 85013\n51920 77826\n54190 81236\n7166 10687\n73029 100000\n38476 57638\n52987 79453\n72200 100000\n90648 100000\n43002 64441\n83300 100000\n21458 32095\n74784 100000\n13451 20114\n30542 45680\n450 671\n16097 24070\n34520 51650\n87467 100000\n3138 4674\n45942 68827\n47345 70963\n67895 100000\n18972 28362\n11501 17181\n24137 36121\n25354 37950\n33495 50104\n27603 41290\n83216 100000\n57538 86237\n5537 8250\n26427 39563\n38575 57783\n16659 24891\n96132 100000\n95747 100000\n93330 100000\n25846 38686\n83891 100000\n38656 57900\n83618 100000\n70263 100000\n66660 99986\n95276 100000\n58014 86959\n27173 40665\n69908 100000\n5093 7584\n72245 100000\n12892 19279\n20347 30419\n981 1465\n10036 14984\n57624 86369\n42265 63333\n44406 66527\n90916 100000\n25776 38581\n87126 100000\n99891 100000\n60086 90089\n66584 99872\n85578 100000\n98540 100000\n486 725\n72081 100000\n68918 100000\n42530 63729\n28551 42691\n50083 75082\n45313 67887\n55532 83230\n47273 70853\n7895 11759\n94334 100000\n97582 100000\n69045 100000\n90148 100000\n8296 12347\n15466 23115\n41271 61850\n1469 2195\n39157 58652\n76882 100000\n21959 32853\n17589 26287\n27271 40804\n14050 20995\n27311 40862\n67844 100000\n56334 84433\n12266 18354\n60860 91267\n34773 52019\n10774 16072\n35123 52548\n17736 26513\n99048 100000\n94832 100000\n50422 75583\n80526 100000\n80305 100000\n5603 8342\n65911 98853\n13744 20544\n21808 32624\n66872 100000\n67727 100000\n58886 88268\n45713 68486\n56728 85031\n59094 88573\n11989 17935\n96355 100000\n82019 100000\n32448 48548\n30655 45856\n29245 43722\n12308 18414\n66240 99357\n12630 18887\n62941 94396\n96257 100000\n4866 7235\n25907 38772\n40116 60094\n54001 80951\n26003 38920\n66964 100000\n95240 100000\n55083 82559\n75847 100000\n30763 46022\n71137 100000\n80615 100000\n26322 39405\n32552 48691\n46920 70318\n1450 2171\n21737 32515\n18353 27437\n83859 100000\n8619 12845\n86080 100000\n40012 59939\n14709 21975\n74198 100000\n43091 64573\n12514 18710\n1271 1902\n16967 25354\n91248 100000\n89993 100000\n92444 100000\n36625 54853\n87710 100000\n30164 45115\n76400 100000\n56646 84902\n94094 100000\n70258 100000\n2889 4315\n50274 75362\n56622 84871\n79292 100000\n42768 64080\n14237 21271\n17921 26793\n37435 56070\n55367 82981\n207 307\n97986 100000\n2129 3189\n12851 19218\n28290 42314\n62776 94147\n17757 26542\n60694 91022\n55666 83418\n82711 100000\n98694 100000\n76423 100000\n23724 35505\n72114 100000\n95382 100000\n2424 3628\n11461 17115\n59901 89798\n74184 100000\n34887 52189\n57765 86583\n57431 86074\n30124 45059\n9669 14421\n59190 88719\n53086 79586\n30327 45355\n72942 100000\n14446 21576\n51102 76599\n96967 100000\n42598 63823\n20831 31150\n71826 100000\n6949 10359\n52596 78838\n70338 100000\n45080 67525\n84450 100000\n22486 33654\n16899 25250\n50645 75903\n71595 100000\n81417 100000\n64027 96019\n3130 4662\n27999 41872\n8624 12851\n38384 57494\n30398 45463\n31583 47259\n9651 14396\n14189 21199\n79022 100000\n62798 94181\n75087 100000\n42483 63658\n34678 51879\n73822 100000\n52076 78058\n47074 70553\n4536 6745\n2288 3422\n87206 100000\n3491 5186\n1372 2051\n39483 59154\n73093 100000\n63196 94782\n7899 11765\n91538 100000\n50992 76441\n12492 18679\n68883 100000\n9996 14921\n74609 100000\n4868 7237\n50951 76378\n60472 90681\n88151 100000\n46688 69965\n33417 49982\n39328 58914\n22861 34225\n97251 100000\n79556 100000\n96614 100000\n34973 52324\n29166 43605\n83101 100000\n27368 40945\n96129 100000\n4997 7435\n17406 26015\n55782 83594\n80653 100000\n8712 12980\n29930 44768\n7548 11255\n67886 100000\n56279 84350\n39024 58445\n58840 88205\n16707 24963\n89656 100000\n4144 6161\n401 592\n32398 48474\n14575 21773\n72625 100000\n43913 65817\n35189 52647\n75113 100000\n11960 17892\n30380 45438\n30678 45892\n17856 26704\n34524 51654\n47212 70767\n54209 81263\n66102 99152\n25849 38691\n29640 44327\n94072 100000\n2008 3009\n85856 100000\n31902 47738\n43074 64550\n32829 49099\n20303 30347\n26287 39351\n99622 100000\n58894 88278\n60452 90648\n41184 61732\n40868 61252\n64188 96256\n21941 32828\n20770 31066\n63228 94830\n41791 62618\n81905 100000\n66691 100000\n12065 18059\n96146 100000\n22168 33170\n27098 40552\n38436 57576\n85344 100000\n87049 100000\n5858 8725\n26173 39177\n39224 58754\n84398 100000\n12868 19243\n21061 31492\n66206 99306\n1119 1675\n13670 20430\n79730 100000\n72461 100000\n62364 93539\n32325 48370\n77349 100000\n67877 100000\n28559 42700\n32825 49095\n73686 100000\n51513 77215\n59388 89016\n98488 100000\n48847 73201\n51056 76537\n99950 100000\n50138 75159\n58959 88377\n63190 94773\n47949 71872\n59160 88672\n93036 100000\n21387 31987\n85075 100000\n79252 100000\n46566 69774\n57407 86035\n43343 64951\n64221 96303\n23337 34934\n91334 100000\n1685 2512\n4456 6629\n27550 41211\n47408 71056\n30408 45478\n32513 48640\n72815 100000\n22870 34237\n10674 15923\n32205 48193\n19876 29722\n64619 96899\n68849 100000\n69174 100000\n51995 77939\n48684 72957\n41564 62286\n37146 55630\n86313 100000\n58013 86958\n70222 100000\n3314 4929\n86619 100000\n14966 22366\n29796 44566\n24708 36988\n44813 67116\n84293 100000\n7536 11238\n32283 48312\n95097 100000\n75678 100000\n37306 55875\n68384 100000\n21139 31615\n45471 68122\n52438 78605\n50177 75216\n18486 27632\n96019 100000\n73880 100000\n9765 14570\n4733 7035\n35199 52663\n65796 98688\n74549 100000\n11061 16505\n74569 100000\n47269 70846\n84883 100000\n18241 27265\n34442 51536\n5249 7816\n17343 25917\n2683 4008\n22614 33847\n33085 49491\n62190 93283\n76199 100000\n77757 100000\n91383 100000\n65447 98168\n47773 71603\n87261 100000\n55687 83449\n17941 26821\n40842 61217\n58749 88063\n38234 57260\n73091 100000\n62983 94459\n40784 61124\n99942 100000\n56827 85179\n81745 100000\n85057 100000\n40569 60790\n75008 100000\n80248 100000\n65879 98809\n63404 95085\n73837 100000\n79539 100000\n63381 95053\n78337 100000\n68462 100000\n72234 100000\n71064 100000\n47209 70761\n85977 100000\n43421 65077\n10254 15296\n81783 100000\n86370 100000\n94610 100000\n10854 16192\n95273 100000\n15755 23553\n28019 41904\n59505 89195\n67616 100000\n8007 11919\n71277 100000\n24324 36409\n80357 100000\n1576 2351\n58855 88225\n61574 92351\n10004 14935\n38198 57206\n97594 100000\n68267 100000\n66639 99955\n95941 100000\n34463 51566\n32666 48855\n39078 58529\n21502 32160\n23462 35116\n74207 100000\n67874 100000\n38967 58359\n44122 66120\n7039 10494\n47865 71745\n16501 24664\n71124 100000\n89138 100000\n32079 48001\n11504 17187\n9536 14227\n69839 100000\n50986 76431\n66489 99729\n86804 100000\n35479 53093\n44727 66995\n22726 34014\n61302 91943\n88793 100000\n86673 100000\n50031 75006\n77656 100000\n57878 86752\n77072 100000\n73692 100000\n45041 67460\n69989 100000\n50537 75754\n60657 90965\n20630 30851\n13733 20524\n69869 100000\n90484 100000\n23055 34514\n37921 56796\n11709 17509\n94482 100000\n52567 78797\n14121 21102\n28556 42696\n92960 100000\n41171 61711\n86648 100000\n86773 100000\n82617 100000\n42030 62986\n29828 44615\n60542 90791\n6827 10171\n29922 44755\n85126 100000\n26508 39680\n14584 21785\n18523 27687\n11228 16762\n47292 70884\n30217 45196\n90022 100000\n37384 55996\n93865 100000\n6002 8942\n54214 81270\n92954 100000\n46702 69986\n30711 45942\n10185 15194\n75970 100000\n37581 56290\n35056 52450\n26061 39001\n2507 3755\n28394 42470\n35514 53152\n3293 4903\n50994 76443\n39427 59070\n45675 68427\n21134 31606\n86354 100000\n23435 35077\n80875 100000\n6042 9004\n22899 34285\n1734 2586\n81726 100000\n46589 69811\n94308 100000\n62081 93124\n48882 73258\n18412 27521\n81938 100000\n74717 100000\n27457 41075\n45153 67638\n94501 100000\n83460 100000\n37866 56709\n52354 78470\n3726 5543\n18245 27272\n7769 11579\n71089 100000\n55652 83400\n28702 42918\n88868 100000\n67406 100000\n65474 98214\n64591 96854\n14090 21054\n13565 20285\n98444 100000\n67599 100000\n34427 51516\n86325 100000\n97082 100000\n13458 20123\n16157 24156\n52185 78225\n86463 100000\n47191 70736\n56810 85154\n98353 100000\n37378 55987\n63824 95713\n97085 100000\n37221 55744\n74742 100000\n92701 100000\n10913 16283\n23890 35756\n6958 10374\n46188 69200\n38014 56933\n75329 100000\n21376 31970\n38932 58305\n74378 100000\n5145 7660\n30178 45139\n9029 13469\n71164 100000\n2845 4243\n90257 100000\n50034 75010\n80726 100000\n98014 100000\n63465 95181\n12461 18633\n42002 62945\n92862 100000\n29151 43583\n5474 8159\n43338 64942\n24910 37284\n75063 100000\n50808 76161\n95175 100000\n48118 72125\n479 715\n79628 100000\n1617 2404\n12739 19051\n59074 88547\n9017 13449\n88228 100000\n37279 55831\n49474 74165\n97505 100000\n26478 39639\n63478 95198\n4361 6486\n68775 100000\n10662 15903\n32103 48039\n84817 100000\n35001 52368\n70097 100000\n81606 100000\n85783 100000\n92115 100000\n24015 35939\n15183 22682\n21026 31438\n95466 100000\n50943 76365\n34133 51063\n51530 77242\n50777 76115\n12502 18694\n33861 50651\n26352 39451\n66303 99451\n33077 49481\n15833 23670\n76622 100000\n82969 100000\n84805 100000\n39986 59897\n7343 10949\n96961 100000\n41881 62757\n46775 70095\n11935 17851\n1480 2210\n71375 100000\n1388 2075\n10362 15464\n42613 63846\n94280 100000\n97360 100000\n82693 100000\n22016 32941\n96887 100000\n61464 92189\n50341 75464\n68113 100000\n14491 21648\n31829 47632\n76317 100000\n38841 58176\n11429 17062\n10790 16099\n97311 100000\n31154 46602\n3111 4635\n44670 66912\n31512 47152\n61045 91544\n74962 100000\n25596 38310\n87941 100000\n96165 100000\n55506 83189\n78293 100000\n45270 67820\n82241 100000\n76350 100000\n161 238\n10192 15205\n63183 94763\n99096 100000\n25653 38395\n10358 15459\n3844 5712\n7694 11474\n94118 100000\n68214 100000\n64411 96592\n46570 69781\n13474 20149\n59593 89332\n59954 89884\n12661 18933\n70171 100000\n88866 100000\n87484 100000\n49665 74452\n23330 34924\n88515 100000\n11206 16725\n54557 81783\n57094 85574\n74011 100000\n97645 100000\n5431 8093\n67151 100000\n22300 33372\n15389 22990\n38503 57676\n47767 71592\n36362 54450\n52334 78442\n35351 52890\n46283 69343\n80978 100000\n82220 100000\n9827 14670\n32788 49037\n15589 23301\n8933 13324\n19717 29483\n91719 100000\n58102 87091\n53366 80002\n5036 7500\n56383 84508\n28117 42054\n96512 100000\n70608 100000\n31559 47224\n12363 18487\n596 891\n84453 100000\n77460 100000\n67295 100000\n64955 97403\n38843 58178\n14455 21592\n99378 100000\n35251 52739\n12883 19267\n66537 99803\n11258 16808\n35096 52505\n33311 49824\n82497 100000\n31030 46424\n71779 100000\n58869 88244\n29297 43799\n10784 16090\n21865 32717\n27815 41603\n99399 100000\n52276 78358\n71998 100000\n40294 60363\n85200 100000\n70504 100000\n67832 100000\n43220 64755\n25197 37714\n79 116\n57315 85894\n46384 69500\n16731 24999\n16253 24300\n1353 2024\n2380 3564\n61041 91537\n67008 100000\n54666 81935\n51176 76716\n58016 86961\n95893 100000\n23908 35781\n1803 2695\n91695 100000\n59435 89085\n64319 96450\n69878 100000\n79180 100000\n33093 49505\n6494 9679\n60955 91412\n88106 100000\n19193 28698\n70797 100000\n4721 7016\n53566 80298\n84684 100000\n85762 100000\n5407 8057\n64173 96232\n24634 36881\n95876 100000\n49755 74584\n17372 25962\n72373 100000\n94731 100000\n44846 67167\n81845 100000\n53817 80680\n89317 100000\n99234 100000\n58574 87799\n57469 86133\n4061 6030\n83955 100000\n12806 19154\n45187 67692\n95021 100000\n29704 44429\n94910 100000\n73139 100000\n11491 17163\n24192 36210\n61692 92538\n56624 84873\n53952 80880\n71399 100000\n25282 37839\n94795 100000\n50675 75955\n89194 100000\n55110 82593\n89769 100000\n44972 67364\n44469 66614\n6536 9743\n75395 100000\n57175 85687\n68596 100000\n60397 90565\n14007 20934\n38254 57291\n66466 99698\n76640 100000\n43168 64680\n52881 79285\n71227 100000\n32577 48727\n23230 34772\n66317 99474\n49099 73590\n92129 100000\n11409 17029\n67487 100000\n61267 91889\n2528 3787\n90114 100000\n71785 100000\n99182 100000\n73819 100000\n5778 8601\n47105 70601\n29329 43847\n20906 31262\n49342 73961\n59026 88475\n63738 95579\n99976 100000\n22798 34125\n18383 27480\n74669 100000\n51884 77770\n34827 52100\n83348 100000\n81797 100000\n92576 100000\n68387 100000\n63875 95792\n53855 80735\n77115 100000\n35899 53738\n47950 71874\n18101 27060\n61667 92499\n15298 22856\n65477 98217\n18010 26922\n54775 82101\n56341 84445\n77910 100000\n43630 65390\n98025 100000\n89927 100000\n30040 44930\n30732 45977\n58911 88300\n27513 41159\n95480 100000\n74635 100000\n97785 100000\n94720 100000\n67740 100000\n64819 97201\n62669 93988\n48143 72163\n67024 100000\n66686 100000\n78191 100000\n30698 45920\n49530 74248\n48213 72262\n32974 49320\n33209 49673\n61546 92313\n25749 38535\n82699 100000\n14056 21004\n32585 48739\n25125 37608\n29675 44381\n54742 82052\n4446 6613\n20391 30488\n50701 75997\n76540 100000\n45472 68124\n12930 19335\n91129 100000\n25964 38862\n55540 83240\n22327 33415\n69103 100000\n62043 93068\n95155 100000\n10824 16145\n48274 72354\n15476 23130\n94112 100000\n19727 29498\n70114 100000\n48154 72180\n88694 100000\n78393 100000\n81435 100000\n69660 100000\n9033 13474\n9504 14176\n4419 6573\n94935 100000\n77271 100000\n66324 99485\n69331 100000\n59707 89511\n68151 100000\n8570 12773\n84644 100000\n78559 100000\n46993 70430\n78227 100000\n91367 100000\n25946 38835\n15645 23387\n60586 90854\n61505 92249\n45707 68477\n77094 100000\n99857 100000\n87063 100000\n57322 85907\n49242 73806\n98580 100000\n76614 100000\n13757 20564\n90551 100000\n14614 21831\n80828 100000\n48343 72452\n97286 100000\n4518 6719\n33638 50314\n91664 100000\n35999 53888\n9991 14915\n87293 100000\n7277 10849\n98550 100000\n17472 26115\n52085 78072\n27217 40731\n86835 100000\n5283 7866\n50054 75040\n41122 61636\n77490 100000\n2121 3178\n14451 21585\n62010 93016\n63527 95268\n37029 55454\n86569 100000\n65919 98866\n62593 93871\n57865 86732\n16959 25341\n4905 7293\n14389 21494\n9395 14011\n5318 7917\n11983 17927\n65969 98948\n88592 100000\n76790 100000\n14560 21752\n32736 48959\n84372 100000\n27872 41685\n81311 100000\n93836 100000\n75288 100000\n71499 100000\n30248 45244\n97297 100000\n88880 100000\n48098 72095\n27024 40440\n62885 94311\n66468 99701\n86896 100000\n9830 14675\n87291 100000\n6138 9153\n96920 100000\n98292 100000\n61528 92284\n69685 100000\n86785 100000\n1458 2182\n92157 100000\n16748 25024\n66085 99128\n38836 58169\n42231 63281\n11993 17941\n48930 73333\n94221 100000\n94267 100000\n76868 100000\n93301 100000\n21204 31713\n71842 100000\n16871 25207\n47263 70839\n70982 100000\n5531 8241\n18665 27903\n86091 100000\n34928 52253\n58259 87327\n44888 67230\n19088 28541\n91213 100000\n28944 43270\n44085 66065\n97696 100000\n80309 100000\n44660 66896\n99402 100000\n15800 23620\n81166 100000\n15061 22502\n93718 100000\n15045 22480\n67826 100000\n7037 10490\n19329 28906\n47310 70911\n94252 100000\n61280 91908\n98483 100000\n29192 43644\n14570 21766\n73647 100000\n61800 92697\n97448 100000\n90525 100000\n26525 39704\n98387 100000\n63538 95284\n66913 100000\n36462 54599\n2671 3994\n97330 100000\n57754 86566\n35981 53859\n72958 100000\n89244 100000\n47692 71477\n61551 92319\n98710 100000\n96202 100000\n39510 59197\n77388 100000\n58767 88091\n35776 53547\n67696 100000\n55986 83909\n55362 82974\n33231 49705\n34952 52289\n99365 100000\n95690 100000\n60595 90866\n7213 10755\n10381 15496\n28308 42338\n5553 8273\n97408 100000\n65286 97914\n51758 77586\n9094 13560\n98887 100000\n59320 88914\n60776 91143\n43858 65731\n66086 99129\n69578 100000\n84286 100000\n27297 40841\n47361 70989\n94495 100000\n45841 68675\n22970 34394\n5619 8365\n48572 72795\n66021 99028\n56783 85114\n9090 13554\n14526 21699\n47042 70504\n23239 34786\n91562 100000\n80773 100000\n17147 25618\n18123 27091\n12404 18550\n87369 100000\n27754 41512\n44431 66561\n41628 62378\n82455 100000\n5245 7812\n40034 59975\n44919 67280\n54188 81233\n38403 57525\n58453 87618\n61091 91616\n89467 100000\n90839 100000\n49742 74566\n10393 15516\n42427 63577\n86000 100000\n1858 2780\n38907 58271\n30834 46136\n9752 14552\n15608 23331\n22636 33881\n42848 64202\n80693 100000\n8828 13161\n41210 61769\n44983 67381\n42038 62999\n73376 100000\n90927 100000\n52339 78449\n44823 67131\n87726 100000\n53762 80600\n91522 100000\n625 935\n87347 100000\n35023 52399\n46992 70428\n12265 18353\n3534 5252\n93028 100000\n98370 100000\n86208 100000\n50657 75924\n90877 100000\n53444 80115\n57649 86408\n5282 7864\n46696 69978\n46822 70170\n62393 93579\n33084 49490\n40792 61138\n20954 31333\n34345 51386\n22566 33774\n64216 96293\n31256 46760\n88212 100000\n36530 54700\n63207 94801\n12136 18160\n96802 100000\n82640 100000\n77623 100000\n68823 100000\n53713 80523\n92992 100000\n78829 100000\n54714 82009\n1439 2155\n79298 100000\n1421 2128\n2551 3825\n21892 32759\n89546 100000\n80173 100000\n47885 71775\n27619 41313\n75748 100000\n16987 25385\n78292 100000\n77261 100000\n97443 100000\n86717 100000\n41048 61527\n44116 66111\n71753 100000\n43215 64749\n11007 16427\n2529 3788\n17626 26342\n83261 100000\n6116 9114\n93773 100000\n18126 27096\n76777 100000\n62708 94046\n68258 100000\n46789 70116\n32216 48208\n44186 66218\n8227 12245\n93429 100000\n19871 29715\n23476 35139\n84212 100000\n48766 73079\n99817 100000\n49754 74583\n98357 100000\n13625 20368\n85849 100000\n50320 75430\n14851 22189\n20246 30252\n19044 28473\n81599 100000\n28978 43319\n26440 39583\n59793 89642\n15426 23051\n71371 100000\n2216 3315\n47068 70545\n70364 100000\n6316 9418\n61658 92484\n78250 100000\n56101 84078\n66376 99564\n17590 26288\n4173 6208\n63774 95636\n98408 100000\n7984 11886\n72395 100000\n39953 59848\n2393 3584\n55604 83330\n13682 20447\n52527 78736\n48543 72750\n80275 100000\n68694 100000\n93272 100000\n87051 100000\n54629 81881\n24331 36419\n67541 100000\n58221 87269\n27213 40725\n71002 100000\n28561 42704\n81841 100000\n11719 17524\n76989 100000\n98394 100000\n2863 4272\n87560 100000\n65993 98985\n3136 4671\n45459 68103\n70691 100000\n44615 66829\n19844 29675\n50882 76271\n56796 85132\n16282 24339\n36754 55046\n53862 80746\n56594 84826\n99610 100000\n97825 100000\n61261 91878\n53039 79528\n35620 53311\n5625 8374\n96062 100000\n17804 26620\n31975 47850\n62236 93356\n395 583\n27318 40873\n55260 82820\n37075 55524\n24284 36345\n29256 43740\n73162 100000\n95828 100000\n31600 47283\n88896 100000\n87859 100000\n37528 56213\n7587 11312\n41967 62892\n49256 73829\n95794 100000\n60976 91440\n97257 100000\n29417 43983\n50143 75167\n28385 42455\n9506 14179\n85864 100000\n72449 100000\n46320 69401\n62530 93780\n96945 100000\n74823 100000\n90899 100000\n39012 58428\n85975 100000\n71257 100000\n50713 76017\n58839 88203\n33472 50067\n1630 2424\n27594 41276\n95891 100000\n85629 100000\n80856 100000\n98834 100000\n55537 83237\n49910 74824\n12474 18652\n82526 100000\n31053 46459\n39223 58752\n32035 47936\n76479 100000\n56868 85244\n73844 100000\n12559 18778\n69928 100000\n81647 100000\n54966 82389\n2405 3603\n50327 75441\n66296 99442\n84566 100000\n51849 77722\n53870 80758\n8634 12863\n2033 3045\n46536 69728\n45732 68513\n62324 93480\n87496 100000\n32509 48634\n14405 21519\n39261 58810\n30724 45964\n59925 89839\n13189 19727\n37909 56777\n40303 60377\n32133 48083\n54702 81991\n81039 100000\n84587 100000\n23789 35599\n22586 33804\n51783 77619\n87759 100000\n60000 89954\n54392 81534\n79978 100000\n66885 100000\n15170 22661\n92283 100000\n93120 100000\n3907 5801\n8476 12624\n98083 100000\n69650 100000\n1392 2082\n13968 20876\n32151 48111\n77021 100000\n82223 100000\n71139 100000\n45665 68412\n63765 95622\n11894 17790\n88012 100000\n40291 60358\n54837 82196\n20368 30451\n65995 98989\n62742 94093\n99328 100000\n73201 100000\n83778 100000\n34577 51732\n40476 60634\n84451 100000\n6895 10279\n95428 100000\n35015 52388\n95620 100000\n96307 100000\n47078 70560\n74095 100000\n93343 100000\n14291 21352\n46660 69921\n45536 68217\n87270 100000\n91828 100000\n68434 100000\n97959 100000\n42680 63949\n83922 100000\n53406 80059\n62831 94231\n51433 77100\n73420 100000\n41499 62191\n45563 68255\n13837 20681\n84954 100000\n319 471\n64618 96898\n43840 65703\n8887 13251\n41269 61847\n81989 100000\n7237 10791\n16867 25201\n5754 8564\n94292 100000\n99006 100000\n11575 17294\n7191 10722\n35128 52557\n39865 59720\n66431 99643\n2847 4246\n46790 70117\n4042 6005\n80453 100000\n64596 96862\n20655 30891\n92397 100000\n86832 100000\n52590 78832\n8790 13100\n30371 45425\n29901 44723\n69968 100000\n49397 74046\n72136 100000\n7480 11153\n14854 22195\n46407 69536\n13651 20404\n31617 47309\n54653 81914\n45962 68855\n70256 100000\n12177 18219\n69742 100000\n73120 100000\n44071 66044\n10646 15880\n18857 28196\n4372 6503\n49493 74193\n60708 91044\n50395 75546\n65569 98352\n91452 100000\n59296 88884\n84500 100000\n87306 100000\n65030 97516\n13176 19707\n10808 16124\n903 1350\n96635 100000\n57514 86199\n90281 100000\n66877 100000\n41983 62914\n44764 67049\n96443 100000\n34390 51462\n63436 95137\n60299 90419\n87254 100000\n78048 100000\n99637 100000\n27992 41862\n77801 100000\n26758 40054\n6857 10218\n4454 6625\n81554 100000\n27899 41725\n89863 100000\n70762 100000\n70446 100000\n32259 48274\n14798 22109\n14064 21018\n72458 100000\n98574 100000\n33362 49902\n17947 26829\n4602 6841\n62199 93298\n24572 36789\n99037 100000\n8920 13304\n31536 47190\n93034 100000\n50258 75337\n36899 55259\n65931 98887\n64116 96148\n87886 100000\n95965 100000\n59968 89905\n56591 84821\n17484 26134\n10775 16074\n2414 3615\n5584 8315\n71706 100000\n17306 25858\n39846 59691\n69453 100000\n16055 24005\n94307 100000\n13929 20816\n5981 8906\n39179 58684\n87733 100000\n89020 100000\n14782 22082\n18110 27073\n68536 100000\n83980 100000\n51704 77506\n96595 100000\n93154 100000\n23854 35699\n93329 100000\n66725 100000\n94384 100000\n95670 100000\n85048 100000\n64312 96440\n56258 84317\n50227 75288\n16868 25202\n89533 100000\n81546 100000\n79222 100000\n89995 100000\n30988 46365\n43216 64750\n92300 100000\n81869 100000\n428 635\n64131 96169\n55283 82856\n26288 39352\n19190 28693\n23864 35715\n50798 76149\n7675 11447\n51105 76604\n18926 28295\n22632 33874\n31851 47662\n83785 100000\n32210 48200\n6694 9967\n19300 28862\n13217 19765\n62201 93301\n34120 51041\n78844 100000\n21280 31831\n12243 18318\n95439 100000\n9309 13880\n29771 44529\n41832 62685\n95956 100000\n37020 55439\n39540 59243\n95134 100000\n48422 72569\n789 1182\n33643 50321\n1609 2394\n60517 90750\n2571 3852\n66451 99672\n30707 45934\n17402 26010\n31474 47097\n46835 70187\n72253 100000\n35031 52413\n98850 100000\n21153 31635\n7161 10680\n98838 100000\n91646 100000\n64578 96835\n94231 100000\n33773 50517\n53153 79685\n58592 87826\n97845 100000\n19245 28781\n2733 4076\n69655 100000\n73983 100000\n13395 20025\n90652 100000\n12367 18494\n19756 29543\n90159 100000\n28248 42252\n81158 100000\n62666 93984\n94421 100000\n94314 100000\n93840 100000\n87856 100000\n72058 100000\n89234 100000\n41387 62020\n95406 100000\n43621 65376\n41341 61949\n55308 82894\n58989 88420\n77950 100000\n27562 41226\n84009 100000\n81744 100000\n87687 100000\n60030 90001\n46672 69937\n55554 83259\n51250 76828\n92030 100000\n92904 100000\n73267 100000\n87005 100000\n44089 66070\n16417 24533\n67318 100000\n74452 100000\n5605 8345\n21441 32068\n23051 34509\n4654 6920\n77513 100000\n43837 65697\n70603 100000\n2954 4410\n18867 28211\n22106 33075\n3510 5214\n37476 56136\n98351 100000\n41247 61816\n95814 100000\n80717 100000\n78796 100000\n26841 40172\n36892 55250\n44884 67222\n7345 10953\n61292 91926\n52915 79339\n73017 100000\n30313 45336\n12397 18541\n85070 100000\n23509 35189\n57295 85863\n38118 57090\n73069 100000\n67939 100000\n12921 19322\n20768 31062\n8917 13299\n85145 100000\n49129 73638\n1851 2767\n57732 86538\n48157 72185\n19763 29555\n2705 4039\n89590 100000\n63468 95185\n48928 73329\n42889 64265\n43610 65360\n95068 100000\n85761 100000\n95571 100000\n3943 5857\n37399 56017\n65900 98837\n77151 100000\n15265 22808\n72249 100000\n69181 100000\n88153 100000\n73048 100000\n215 321\n31776 47549\n86887 100000\n72666 100000\n84820 100000\n74216 100000\n56981 85403\n46527 69717\n37932 56810\n77220 100000\n72375 100000\n53919 80828\n57919 86819\n13758 20566\n67323 100000\n48015 71966\n70084 100000\n22930 34334\n91737 100000\n12533 18738\n14995 22406\n5404 8053\n16173 24178\n83316 100000\n36311 54371\n94378 100000\n42466 63635\n21785 32584\n89311 100000\n46624 69868\n97447 100000\n8040 11965\n50520 75730\n54067 81048\n41093 61589\n97285 100000\n63437 95138\n33232 49707\n35411 52981\n95468 100000\n82311 100000\n88013 100000\n83733 100000\n49232 73793\n18997 28403\n72838 100000\n17822 26648\n12392 18534\n90709 100000\n36365 54455\n12215 18272\n26854 40190\n82573 100000\n1512 2255\n42345 63450\n57923 86824\n72083 100000\n94335 100000\n55707 83478\n55737 83523\n67778 100000\n586 877\n70166 100000\n67099 100000\n54397 81543\n98810 100000\n34403 51482\n85203 100000\n41031 61499\n91557 100000\n60211 90284\n8158 12142\n28241 42240\n2685 4010\n28512 42636\n24145 36133\n9154 13649\n82079 100000\n12383 18521\n22341 33439\n60526 90765\n30227 45213\n32979 49327\n34889 52193\n72282 100000\n39221 58749\n88742 100000\n6896 10281\n36693 54957\n88713 100000\n7771 11582\n75138 100000\n50451 75624\n2930 4376\n61124 91661\n49360 73989\n16329 24409\n97098 100000\n38129 57105\n30000 44873\n39769 59571\n12410 18560\n61384 92070\n15333 22907\n58192 87225\n72673 100000\n7385 11014\n89349 100000\n86235 100000\n25716 38490\n63053 94566\n89269 100000\n83290 100000\n29047 43431\n20232 30231\n59799 89652\n63507 95237\n74231 100000\n80930 100000\n70965 100000\n74995 100000\n34604 51772\n10407 15540\n15138 22616\n7307 10898\n57836 86687\n34429 51518\n80929 100000\n24759 37064\n98329 100000\n76609 100000\n82247 100000\n72027 100000\n50638 75891\n35953 53817\n39831 59670\n58621 87872\n6233 9296\n24029 35961\n83094 100000\n16381 24481\n32646 48826\n57446 86098\n51733 77549\n23178 34691\n86358 100000\n99012 100000\n49772 74614\n887 1329\n99974 100000\n70589 100000\n67397 100000\n24372 36488\n1278 1915\n34683 51889\n99078 100000\n71225 100000\n82675 100000\n16343 24425\n67324 100000\n89195 100000\n67794 100000\n99792 100000\n25219 37752\n87330 100000\n92902 100000\n80982 100000\n5364 7990\n77987 100000\n20783 31083\n95815 100000\n22454 33606\n25530 38208\n81321 100000\n28731 42962\n12631 18889\n95920 100000\n68645 100000\n1790 2676\n90178 100000\n65162 97721\n66943 100000\n14008 20935\n63258 94877\n41365 61987\n35153 52591\n95216 100000\n82895 100000\n34328 51362\n84938 100000\n41552 62271\n32487 48604\n85736 100000\n15528 23210\n83698 100000\n9447 14093\n97433 100000\n81734 100000\n3192 4756\n50801 76152\n6126 9130\n945 1414\n50284 75377\n38132 57110\n86081 100000\n68637 100000\n33613 50277\n82020 100000\n509 761\n51403 77059\n84728 100000\n56930 85335\n57640 86394\n88835 100000\n6151 9177\n30574 45730\n35509 53144\n14130 21113\n75741 100000\n72287 100000\n3621 5378\n85580 100000\n32440 48534\n53787 80634\n57929 86834\n81213 100000\n57553 86258\n34243 51230\n26654 39903\n64802 97175\n18992 28394\n38155 57146\n49064 73538\n66782 100000\n80479 100000\n49869 74757\n14697 21957\n85721 100000\n90495 100000\n9231 13760\n55420 83061\n63871 95786\n2696 4024\n71538 100000\n72906 100000\n31717 47462\n91175 100000\n62648 93958\n42496 63677\n35029 52409\n37235 55766\n29680 44390\n19792 29598\n38280 57331\n66290 99432\n81614 100000\n49956 74893\n57998 86934\n33573 50219\n43334 64936\n48332 72435\n36381 54479\n63728 95561\n78519 100000\n48396 72533\n66195 99290\n81327 100000\n14590 21793\n23571 35280\n85239 100000\n31766 47533\n16389 24495\n83490 100000\n31494 47128\n39779 59587\n97430 100000\n26445 39590\n3324 4944\n49005 73441\n34354 51402\n5214 7767\n59828 89697\n27421 41026\n5965 8884\n56918 85316\n45989 68900\n35350 52888\n8697 12957\n57894 86777\n59753 89577\n15783 23596\n59759 89588\n14461 21599\n8604 12822\n74313 100000\n78518 100000\n94997 100000\n36948 55330\n92424 100000\n75726 100000\n75706 100000\n38856 58199\n97468 100000\n54368 81501\n65939 98899\n35073 52472\n27560 41223\n64384 96548\n52144 78158\n70043 100000\n34365 51421\n61034 91528\n73037 100000\n43563 65288\n54483 81669\n64098 96123\n17713 26479\n92181 100000\n37093 55553\n85462 100000\n24003 35925\n27406 41007\n94240 100000\n52356 78474\n6881 10258\n54721 82021\n16068 24024\n17618 26328\n2040 3058\n44916 67275\n97348 100000\n61369 92050\n32268 48286\n36587 54791\n44177 66206\n90912 100000\n12970 19394\n23592 35310\n68983 100000\n50993 76442\n2650 3965\n22788 34111\n72042 100000\n53090 79592\n76632 100000\n39397 59023\n16034 23971\n53599 80351\n73273 100000\n83899 100000\n87268 100000\n55682 83443\n15441 23076\n15021 22445\n7095 10577\n81667 100000\n59243 88797\n46369 69476\n50364 75500\n9388 14001\n29232 43704\n7009 10450\n17339 25910\n22640 33886\n35882 53711\n96477 100000\n58983 88412\n31642 47343\n59285 88867\n95797 100000\n1190 1780\n93882 100000\n42014 62959\n61427 92136\n70781 100000\n8703 12966\n59615 89368\n28585 42738\n50183 75225\n914 1366\n7483 11158\n65466 98198\n77882 100000\n14469 21611\n1085 1626\n68656 100000\n32020 47914\n68110 100000\n17476 26121\n45298 67864\n96993 100000\n68717 100000\n88248 100000\n79076 100000\n79164 100000\n90533 100000\n50661 75930\n94597 100000\n57686 86465\n23030 34481\n38567 57772\n44524 66696\n32922 49243\n80682 100000\n17197 25692\n94100 100000\n2456 3676\n10670 15916\n24635 36883\n99450 100000\n74339 100000\n3281 4887\n22286 33350\n3443 5114\n23033 34485\n41027 61494\n41066 61552\n93735 100000\n64286 96401\n27916 41749\n99627 100000\n67107 100000\n94707 100000\n26256 39304\n74347 100000\n48574 72798\n95142 100000\n74478 100000\n28105 42036\n64611 96887\n55840 83687\n22860 34223\n45870 68720\n95248 100000\n53438 80107\n63094 94632\n50678 75960\n86004 100000\n61367 92047\n54508 81709\n94891 100000\n14979 22383\n1358 2030\n25239 37776\n82678 100000\n46333 69418\n62127 93189\n95067 100000\n5157 7678\n20985 31377\n43572 65304\n43095 64578\n56495 84680\n43049 64515\n30935 46289\n69148 100000\n92104 100000\n95870 100000\n77908 100000\n44162 66183\n55470 83138\n64665 96968\n61107 91635\n92337 100000\n35955 53820\n48738 73034\n95390 100000\n73401 100000\n42473 63644\n84053 100000\n88727 100000\n69543 100000\n38615 57841\n49333 73947\n18780 28075\n93064 100000\n20976 31364\n48936 73343\n53130 79653\n46784 70108\n79517 100000\n31833 47638\n86878 100000\n12682 18966\n59893 89786\n56442 84595\n64703 97024\n54699 81986\n79651 100000\n83995 100000\n52128 78133\n94199 100000\n87842 100000\n19467 29111\n51058 76540\n73331 100000\n26033 38961\n62566 93832\n25320 37895\n78308 100000\n32976 49323\n26064 39005\n526 783\n83243 100000\n93145 100000\n94290 100000\n8614 12838\n69185 100000\n72113 100000\n44930 67298\n3979 5910\n15850 23697\n58706 88001\n15886 23753\n64544 96787\n37721 56500\n15259 22799\n87747 100000\n11392 17003\n18267 27304\n74582 100000\n23257 34815\n29951 44800\n76449 100000\n70158 100000\n16355 24445\n79302 100000\n14956 22354\n48310 72402\n84982 100000\n12477 18655\n70861 100000\n71180 100000\n58462 87633\n5911 8807\n14984 22391\n92800 100000\n36589 54795\n52583 78823\n94506 100000\n84164 100000\n62214 93320\n92353 100000\n2053 3076\n27590 41270\n7171 10695\n63376 95047\n78554 100000\n99491 100000\n78992 100000\n11738 17550\n42855 64213\n12055 18042\n10642 15874\n1305 1954\n72840 100000\n32289 48321\n38763 58063\n28194 42168\n30522 45651\n4960 7379\n63581 95345\n27291 40832\n7763 11572\n1791 2678\n70083 100000\n79698 100000\n65982 98969\n14024 20960\n59835 89707\n99573 100000\n94349 100000\n99271 100000\n22429 33568\n69855 100000\n87246 100000\n35463 53071\n80968 100000\n1479 2209\n86093 100000\n18036 26959\n49309 73905\n35613 53300\n69337 100000\n82944 100000\n73879 100000\n39150 58641\n15974 23890\n82958 100000\n26682 39944\n58717 88014\n23217 34751\n88965 100000\n54879 82257\n88889 100000\n45259 67804\n12587 18820\n57031 85482\n11349 16943\n48612 72852\n27994 41865\n35294 52803\n69482 100000\n17669 26412\n45169 67664\n69480 100000\n85305 100000\n69545 100000\n72612 100000\n8404 12508\n39993 59908\n45783 68593\n78328 100000\n58357 87475\n96421 100000\n17442 26071\n27846 41649\n87209 100000\n6810 10145\n32496 48618\n68349 100000\n41065 61551\n70812 100000\n87887 100000\n30366 45417\n93204 100000\n11034 16467\n9173 13679\n20284 30318\n36684 54942\n57263 85820\n81351 100000\n85301 100000\n77117 100000\n65433 98150\n55627 83363\n2284 3417\n61845 92764\n30235 45225\n16495 24655\n30328 45357\n75120 100000\n57653 86414\n60100 90109\n41648 62405\n45031 67447\n65292 97925\n13601 20335\n44999 67404\n12762 19086\n75760 100000\n10152 15146\n84094 100000\n31881 47707\n86482 100000\n41687 62462\n89811 100000\n272 402\n65333 97994\n75408 100000\n20075 30005\n46910 70303\n6105 9099\n73965 100000\n43333 64934\n95457 100000\n51448 77120\n25973 38877\n66994 100000\n20461 30592\n23788 35598\n76132 100000\n63542 95291\n42895 64274\n31686 47409\n26925 40295\n7751 11554\n18533 27704\n49722 74536\n29285 43780\n72297 100000\n15171 22662\n17480 26128\n29496 44102\n39347 58942\n90082 100000\n75415 100000\n26034 38963\n98651 100000\n28127 42069\n97575 100000\n19681 29431\n10356 15455\n35355 52895\n68806 100000\n23898 35768\n28623 42797\n70437 100000\n27660 41373\n67349 100000\n66589 99880\n79013 100000\n34511 51639\n56092 84064\n60782 91151\n76012 100000\n49696 74498\n78323 100000\n16825 25138\n45571 68267\n78256 100000\n46316 69395\n33239 49719\n32132 48081\n54559 81785\n45552 68241\n62564 93830\n30381 45440\n70661 100000\n77 113\n68933 100000\n37569 56272\n19172 28669\n73495 100000\n1684 2510\n59081 88557\n54 80\n28356 42415\n1433 2146\n99563 100000\n70816 100000\n9505 14177\n19331 28909\n91744 100000\n85978 100000\n37195 55705\n64820 97202\n79051 100000\n54318 81420\n71969 100000\n88294 100000\n61339 92003\n52526 78735\n71077 100000\n19633 29363\n45083 67531\n79477 100000\n52271 78352\n87891 100000\n47789 71626\n14156 21153\n94469 100000\n73387 100000\n41228 61791\n81352 100000\n10114 15096\n80974 100000\n18597 27799\n3389 5039\n17756 26540\n15324 22894\n82289 100000\n89734 100000\n56020 83958\n80964 100000\n46431 69578\n96122 100000\n77452 100000\n14436 21562\n97127 100000\n6169 9204\n4708 6996\n19284 28838\n99873 100000\n79339 100000\n82284 100000\n42687 63959\n66107 99158\n28951 43280\n58401 87543\n7968 11862\n92475 100000\n37391 56006\n21408 32017\n5913 8809\n68834 100000\n47102 70595\n58344 87453\n88897 100000\n73526 100000\n18695 27953\n91359 100000\n50366 75503\n14685 21939\n9210 13730\n48054 72030\n96647 100000\n24560 36772\n39467 59132\n75814 100000\n61676 92514\n5909 8805\n64672 96978\n73247 100000\n19008 28421\n15796 23614\n9875 14739\n34823 52095\n19694 29448\n71011 100000\n78402 100000\n31668 47384\n90452 100000\n12494 18681\n33286 49789\n18120 27087\n45224 67752\n84493 100000\n65865 98787\n62834 94235\n50755 76079\n7983 11884\n47173 70704\n49499 74202\n47197 70744\n81633 100000\n27848 41651\n40715 61017\n98691 100000\n46327 69410\n98586 100000\n87838 100000\n75775 100000\n98899 100000\n85242 100000\n99027 100000\n30576 45732\n19334 28914\n28270 42284\n31261 46769\n61711 92568\n39918 59795\n84907 100000\n14086 21048\n18442 27566\n21086 31533\n42814 64148\n25722 38499\n71236 100000\n60523 90759\n40436 60578\n93719 100000\n71447 100000\n34053 50936\n64634 96921\n8507 12673\n81878 100000\n56915 85313\n55718 83494\n8684 12941\n32951 49291\n98725 100000\n58234 87288\n4822 7169\n987 1475\n57768 86587\n4409 6557\n1484 2215\n90615 100000\n93783 100000\n95124 100000\n15691 23454\n36937 55312\n75487 100000\n8737 13019\n1726 2574\n55691 83455\n26310 39387\n35334 52860\n61345 92013\n47835 71699\n40837 61209\n1546 2305\n90641 100000\n1940 2900\n30001 44875\n20441 30562\n49923 74843\n12069 18064\n32087 48014\n75718 100000\n26522 39699\n2144 3211\n19883 29729\n87374 100000\n66057 99081\n33294 49803\n5480 8167\n44584 66786\n69600 100000\n14230 21261\n57030 85481\n28425 42517\n76431 100000\n34553 51695\n97935 100000\n37077 55528\n85428 100000\n90207 100000\n15770 23575\n1665 2480\n80835 100000\n1354 2025\n12897 19287\n61349 92019\n77087 100000\n71482 100000\n36695 54959\n54107 81107\n81640 100000\n38446 57593\n49034 73487\n79008 100000\n93876 100000\n3692 5488\n11661 17433\n80729 100000\n32337 48388\n83596 100000\n9261 13806\n6287 9376\n60662 90972\n77358 100000\n84330 100000\n49828 74699\n62047 93075\n98418 100000\n80103 100000\n89059 100000\n94642 100000\n11012 16435\n48728 73020\n72224 100000\n15560 23258\n74592 100000\n24148 36138\n66374 99560\n41689 62466\n93380 100000\n53560 80289\n6588 9814\n46430 69576\n42655 63911\n40366 60472\n51630 77390\n84542 100000\n88156 100000\n950 1421\n85684 100000\n20562 30743\n50817 76174\n73745 100000\n95644 100000\n24411 36548\n26496 39662\n18582 27776\n39751 59545\n1572 2346\n91544 100000\n15256 22795\n25874 38727\n29847 44640\n54856 82224\n58905 88294\n20464 30596\n83535 100000\n89334 100000\n71250 100000\n79175 100000\n80579 100000\n88241 100000\n37120 55592\n80603 100000\n11557 17268\n41407 62054\n6609 9842\n32526 48658\n29326 43842\n97684 100000\n42788 64107\n93481 100000\n64801 97173\n69671 100000\n30813 46102\n13727 20516\n43735 65543\n44541 66722\n21670 32417\n97587 100000\n41192 61742\n47624 71377\n7646 11404\n70037 100000\n94909 100000\n25132 37617\n2067 3097\n56867 85242\n24757 37061\n94085 100000\n23614 35343\n66386 99578\n88266 100000\n41411 62060\n31957 47821\n8429 12547\n14937 22324\n42698 63975\n54778 82107\n93147 100000\n63140 94698\n70164 100000\n57673 86446\n54874 82251\n53323 79941\n86250 100000\n9858 14715\n80605 100000\n39904 59773\n95778 100000\n36993 55396\n80950 100000\n32232 48233\n65241 97842\n97437 100000\n54704 81995\n53397 80046\n17513 26174\n31251 46753\n96790 100000\n63320 94969\n68862 100000\n45918 68790\n68601 100000\n13919 20802\n96039 100000\n7350 10960\n64504 96726\n14670 21916\n67239 100000\n76034 100000\n61812 92715\n6660 9916\n73775 100000\n90803 100000\n92776 100000\n30382 45442\n54383 81520\n38568 57774\n64490 96704\n46081 69039\n31392 46969\n44394 66506\n15773 23579\n32037 47938\n89593 100000\n95659 100000\n10519 15700\n55336 82934\n47898 71794\n25266 37819\n74656 100000\n42286 63366\n26606 39830\n12865 19240\n50553 75778\n97469 100000\n55370 82986\n33309 49822\n23647 35392\n16350 24436\n27806 41589\n56555 84773\n76180 100000\n80655 100000\n46594 69818\n91684 100000\n4458 6631\n64152 96203\n31812 47606\n307 451\n60565 90826\n26098 39061\n85984 100000\n73807 100000\n36954 55340\n35091 52499\n49581 74329\n60628 90919\n21169 31657\n8946 13343\n8304 12359\n58525 87730\n41085 61579\n12986 19417\n51368 77006\n38326 57402\n94296 100000\n96009 100000\n33955 50794\n10703 15965\n71322 100000\n35282 52784\n16292 24353\n48958 73374\n4853 7215\n98335 100000\n61651 92470\n12857 19228\n86490 100000\n55978 83899\n81191 100000\n63530 95274\n55775 83582\n96633 100000\n29684 44396\n24468 36633\n66235 99350\n82960 100000\n44954 67336\n74082 100000\n10198 15215\n38942 58319\n90925 100000\n21341 31920\n95990 100000\n46211 69234\n84050 100000\n7679 11451\n97803 100000\n71608 100000\n36289 54341\n60761 91123\n33880 50679\n70450 100000\n12867 19242\n4312 6411\n67460 100000\n34333 51367\n97427 100000\n13786 20610\n90004 100000\n18749 28033\n65871 98797\n16167 24168\n37014 55430\n84513 100000\n31123 46559\n62715 94055\n49671 74461\n45693 68454\n44777 67067\n88140 100000\n40755 61079\n43551 65269\n34828 52101\n73763 100000\n81542 100000\n98920 100000\n44106 66096\n75801 100000\n28108 42041\n41561 62282\n81660 100000\n84577 100000\n80601 100000\n78254 100000\n93441 100000\n32140 48093\n8663 12907\n20896 31248\n51335 76955\n71718 100000\n91449 100000\n90456 100000\n16358 24449\n55312 82900\n16701 24953\n98513 100000\n19182 28681\n97031 100000\n6390 9525\n16323 24400\n25610 38331\n57050 85512\n81854 100000\n17812 26632\n91933 100000\n10445 15598\n90623 100000\n42949 64364\n74213 100000\n19976 29863\n52153 78171\n88626 100000\n50229 75291\n10387 15506\n43123 64619\n2004 3002\n59897 89793\n69755 100000\n64090 96111\n33246 49728\n99769 100000\n63813 95699\n66825 100000\n93411 100000\n5538 8252\n20926 31291\n67596 100000\n96592 100000\n78354 100000\n98398 100000\n25021 37454\n14725 22000\n37702 56470\n7092 10573\n52192 78234\n26123 39103\n40254 60303\n65361 98039\n99367 100000\n51847 77719\n70960 100000\n10667 15912\n55881 83750\n64761 97111\n3398 5051\n2018 3025\n85115 100000\n18955 28339\n71769 100000\n30477 45582\n13706 20486\n21018 31429\n39626 59362\n91275 100000\n45773 68579\n505 754\n79057 100000\n87223 100000\n56054 84006\n10488 15658\n45431 68062\n14578 21778\n27777 41544\n10932 16312\n16496 24656\n32158 48120\n63446 95150\n70670 100000\n22582 33798\n25993 38906\n11795 17638\n80082 100000\n58380 87511\n10011 14947\n38588 57801\n72125 100000\n53263 79851\n85591 100000\n23090 34563\n22944 34355\n2953 4409\n22070 33020\n26275 39331\n20472 30606\n10518 15699\n71607 100000\n92967 100000\n29862 44664\n26674 39933\n32947 49284\n15940 23837\n10497 15668\n85871 100000\n62963 94429\n24600 36830\n52995 79466\n964 1442\n41873 62745\n48494 72679\n27726 41472\n64352 96500\n49599 74356\n16197 24216\n11777 17611\n40064 60016\n86865 100000\n30415 45490\n86626 100000\n70355 100000\n32645 48825\n13589 20319\n64756 97102\n76543 100000\n94787 100000\n8175 12167\n99317 100000\n5457 8132\n88702 100000\n27931 41771\n50075 75069\n23580 35295\n42667 63928\n81613 100000\n26644 39886\n69858 100000\n96116 100000\n63289 94922\n12279 18377\n43064 64534\n43852 65722\n85201 100000\n21067 31500\n77011 100000\n3549 5276\n2848 4247\n89127 100000\n71890 100000\n97887 100000\n13778 20597\n97979 100000\n62782 94156\n66008 99008\n43567 65295\n82212 100000\n24610 36847\n34764 52004\n9859 14716\n44540 66720\n45466 68113\n74416 100000\n38127 57102\n16316 24389\n39749 59542\n51836 77702\n31903 47740\n13849 20699\n20991 31385\n58681 87965\n68334 100000\n20517 30677\n83376 100000\n58336 87443\n95684 100000\n1155 1725\n73538 100000\n59517 89213\n67496 100000\n97400 100000\n39593 59314\n5664 8430\n19955 29834\n49483 74177\n52787 79142\n36444 54572\n75600 100000\n55381 83002\n33749 50486\n96732 100000\n58997 88434\n49640 74415\n98777 100000\n96725 100000\n8822 13153\n7670 11438\n83127 100000\n56906 85299\n96894 100000\n16071 24029\n7411 11055\n30795 46073\n12903 19296\n54550 81776\n14403 21517\n86421 100000\n64692 97009\n97547 100000\n459 685\n89039 100000\n84319 100000\n26007 38925\n82067 100000\n36339 54413\n42409 63550\n86637 100000\n8309 12368\n2608 3904\n41604 62344\n26663 39919\n35385 52944\n31994 47878\n98959 100000\n57877 86751\n33265 49759\n11067 16514\n5890 8775\n70027 100000\n43854 65725\n55293 82872\n16546 24733\n68289 100000\n33704 50414\n44226 66272\n39373 58986\n29439 44015\n54438 81601\n60251 90342\n38641 57879\n75313 100000\n30895 46232\n5326 7928\n67972 100000\n72534 100000\n80232 100000\n52407 78555\n28462 42570\n74749 100000\n12901 19294\n91961 100000\n15810 23635\n467 698\n86228 100000\n17752 26534\n1859 2782\n4181 6219\n71594 100000\n35301 52812\n72235 100000\n55516 83207\n43037 64495\n74361 100000\n12238 18309\n30692 45911\n63816 95703\n65159 97717\n22330 33420\n97361 100000\n20791 31094\n23954 35848\n14308 21375\n57846 86701\n86145 100000\n25688 38448\n51666 77448\n11830 17691\n77541 100000\n92886 100000\n51098 76594\n96475 100000\n27435 41043\n13836 20680\n19158 28646\n97429 100000\n7976 11875\n44766 67051\n93614 100000\n27087 40534\n41920 62818\n91312 100000\n62755 94116\n93956 100000\n1792 2679\n92802 100000\n28382 42450\n59463 89130\n89410 100000\n75018 100000\n44821 67128\n61209 91791\n93855 100000\n36227 54246\n3361 4995\n60060 90051\n14848 22184\n2400 3594\n89889 100000\n59680 89466\n35565 53228\n63012 94503\n88036 100000\n72508 100000\n67051 100000\n43150 64657\n17170 25654\n25201 37721\n92719 100000\n701 1049\n44646 66872\n53733 80555\n65145 97696\n95851 100000\n13956 20857\n74087 100000\n94592 100000\n88477 100000\n77084 100000\n68895 100000\n85474 100000\n13987 20904\n78522 100000\n96183 100000\n3334 4956\n4600 6839\n12313 18420\n57156 85663\n41514 62217\n3428 5092\n71418 100000\n18974 28365\n77216 100000\n96996 100000\n5108 7607\n90598 100000\n39034 58460\n90255 100000\n81033 100000\n99524 100000\n37890 56746\n85053 100000\n57218 85754\n41838 62696\n27306 40855\n73306 100000\n49638 74413\n84809 100000\n70687 100000\n88080 100000\n16465 24608\n56438 84590\n46762 70074\n90161 100000\n75554 100000\n90393 100000\n33124 49556\n89268 100000\n36850 55195\n78117 100000\n89454 100000\n18689 27944\n326 479\n92781 100000\n29005 43364\n94124 100000\n26191 39204\n76871 100000\n55661 83411\n20997 31396\n28960 43295\n69711 100000\n70049 100000\n64211 96286\n7337 10941\n27907 41736\n80289 100000\n66501 99748\n57097 85579\n94011 100000\n13978 20890\n19847 29679\n54161 81192\n46959 70380\n11250 16794\n3587 5331\n5743 8546\n13193 19734\n57231 85771\n43164 64674\n29289 43786\n48168 72199\n46178 69187\n45600 68313\n15434 23066\n95026 100000\n9255 13797\n28969 43306\n12841 19204\n42524 63719\n95019 100000\n43615 65367\n22665 33922\n855 1281\n24629 36875\n71882 100000\n61117 91651\n48602 72838\n8931 13320\n36384 54485\n50568 75796\n6601 9831\n55055 82517\n24067 36017\n7977 11876\n8096 12048\n16907 25261\n85376 100000\n21826 32652\n84841 100000\n56510 84706\n20452 30579\n86135 100000\n35117 52537\n36493 54641\n93965 100000\n32650 48831\n4506 6701\n24622 36864\n45230 67760\n95596 100000\n89451 100000\n54880 82258\n63575 95337\n54674 81947\n3069 4574\n31696 47427\n12798 19143\n6004 8945\n78786 100000\n31762 47528\n18599 27801\n80554 100000\n23046 34501\n16413 24528\n39537 59239\n79814 100000\n11027 16456\n65027 97511\n61425 92133\n47547 71268\n49012 73452\n30429 45511\n66909 100000\n29411 43973\n4552 6766\n33609 50270\n93396 100000\n91059 100000\n21009 31415\n58288 87373\n38514 57694\n47196 70742\n97107 100000\n8272 12310\n46609 69842\n61817 92721\n58464 87635\n84177 100000\n62095 93146\n61859 92787\n82844 100000\n80041 100000\n85623 100000\n55177 82697\n69140 100000\n36201 54209\n2467 3691\n62103 93157\n33484 50087\n21383 31981\n7703 11491\n88461 100000\n6542 9751\n86353 100000\n81683 100000\n28710 42929\n16920 25280\n53251 79835\n4616 6860\n50786 76130\n10763 16055\n39702 59473\n78369 100000\n35643 53340\n64532 96770\n77516 100000\n94606 100000\n69673 100000\n75689 100000\n40415 60544\n23097 34572\n62218 93325\n85007 100000\n73521 100000\n41991 62928\n5963 8881\n22004 32923\n67762 100000\n93940 100000\n35854 53667\n34966 52313\n69435 100000\n66413 99620\n16999 25400\n40668 60941\n8766 13061\n39505 59189\n62757 94119\n57796 86627\n20281 30312\n71880 100000\n62080 93122\n99348 100000\n61372 92055\n1249 1868\n84176 100000\n10269 15320\n4975 7403\n89702 100000\n3518 5225\n88216 100000\n62374 93553\n74188 100000\n25078 37541\n80022 100000\n72087 100000\n56507 84701\n98054 100000\n83609 100000\n85676 100000\n85575 100000\n54082 81070\n72060 100000\n6715 9999\n92187 100000\n50055 75041\n75045 100000\n50485 75674\n83139 100000\n44548 66733\n30652 45853\n34110 51027\n73766 100000\n30112 45041\n87278 100000\n48698 72975\n77341 100000\n24360 36468\n58382 87514\n40025 59959\n10929 16307\n44741 67017\n78177 100000\n92128 100000\n31492 47124\n40506 60684\n91832 100000\n98420 100000\n45724 68502\n53072 79571\n21102 31556\n93871 100000\n67161 100000\n89906 100000\n56028 83968\n13965 20870\n45280 67837\n36932 55306\n71423 100000\n2494 3735\n85472 100000\n71801 100000\n32332 48379\n47051 70515\n85401 100000\n29693 44410\n40555 60766\n48264 72338\n4163 6192\n57556 86262\n21743 32523\n47029 70485\n330 484\n11428 17061\n17533 26207\n54576 81808\n19737 29514\n87505 100000\n95532 100000\n77293 100000\n44535 66714\n25164 37662\n39279 58837\n85903 100000\n82577 100000\n31310 46842\n13543 20249\n2251 3366\n36857 55207\n22460 33615\n7096 10578\n26244 39286\n8515 12686\n47254 70827\n85516 100000\n27149 40632\n26902 40262\n92414 100000\n30816 46107\n65006 97481\n48362 72482\n7570 11286\n7901 11768\n56210 84248\n49176 73710\n12500 18690\n84223 100000\n78147 100000\n33510 50126\n25694 38457\n99912 100000\n30547 45687\n6224 9284\n91374 100000\n69256 100000\n81771 100000\n9259 13803\n22988 34419\n49109 73608\n88370 100000\n48834 73185\n23863 35713\n27193 40693\n39370 58982\n69829 100000\n10287 15347\n30111 45039\n86143 100000\n71668 100000\n59582 89312\n44233 66281\n16264 24316\n73970 100000\n68178 100000\n80609 100000\n12711 19006\n31646 47349\n81981 100000\n88117 100000\n60224 90302\n60265 90366\n95218 100000\n49241 73805\n41895 62779\n58404 87547\n16833 25148\n28939 43264\n91120 100000\n23560 35264\n29534 44160\n10136 15128\n44863 67193\n76478 100000\n78591 100000\n88276 100000\n31401 46985\n47742 71553\n12942 19352\n24549 36757\n65557 98337\n25185 37693\n52326 78433\n78502 100000\n19811 29626\n51592 77337\n54646 81905\n50839 76209\n37408 56028\n66452 99674\n11623 17375\n69995 100000\n81917 100000\n56750 85063\n82615 100000\n43545 65261\n22236 33272\n98678 100000\n42376 63499\n86291 100000\n62277 93413\n88654 100000\n91178 100000\n37062 55502\n88245 100000\n83623 100000\n68409 100000\n11378 16984\n70290 100000\n99727 100000\n369 542\n60001 89955\n99975 100000\n35 51\n51215 76774\n14701 21963\n27000 40402\n87787 100000\n84008 100000\n44168 66193\n74235 100000\n61397 92090\n31015 46400\n5800 8634\n10560 15760\n34477 51586\n63717 95544\n18021 26937\n10765 16058\n52206 78256\n22145 33137\n82375 100000\n13407 20045\n94948 100000\n91246 100000\n35589 53264\n1946 2912\n38766 58067\n80585 100000\n53960 80892\n5383 8016\n22347 33446\n22732 34023\n32057 47968\n91526 100000\n72539 100000\n67416 100000\n66050 99070\n32826 49096\n28030 41919\n71453 100000\n29818 44602\n64711 97034\n17012 25418\n50164 75195\n95272 100000\n75708 100000\n33471 50065\n14538 21717\n13636 20385\n74003 100000\n13194 19735\n59778 89620\n37403 56022\n28678 42880\n50954 76382\n77645 100000\n23248 34799\n30937 46292\n57751 86563\n73459 100000\n89014 100000\n1268 1897\n52333 78441\n98689 100000\n24171 36175\n22730 34021\n37656 56404\n78122 100000\n23064 34526\n32627 48801\n90817 100000\n79532 100000\n38207 57220\n17772 26565\n78524 100000\n91959 100000\n15579 23287\n61214 91799\n50681 75964\n19440 29070\n63976 95947\n9236 13769\n50749 76069\n85433 100000\n12126 18144\n52298 78390\n4517 6718\n32427 48517\n14952 22347\n99350 100000\n33315 49829\n82686 100000\n43553 65271\n62020 93030\n32429 48519\n80886 100000\n68314 100000\n70104 100000\n91638 100000\n15795 23612\n30095 45013\n74944 100000\n99339 100000\n16620 24835\n31811 47604\n49011 73450\n41493 62182\n57631 86381\n7230 10782\n94045 100000\n56735 85041\n60235 90319\n1052 1574\n85094 100000\n68914 100000\n74759 100000\n76371 100000\n87487 100000\n20222 30217\n18166 27154\n16229 24263\n32727 48945\n66470 99703\n33121 49550\n93833 100000\n47054 70521\n82157 100000\n21731 32508\n86540 100000\n67287 100000\n93333 100000\n10194 15209\n54917 82311\n71377 100000\n12968 19391\n63803 95683\n58636 87895\n69614 100000\n21320 31888\n44082 66060\n68253 100000\n13334 19940\n69678 100000\n78253 100000\n22455 33608\n66129 99191\n19067 28509\n86928 100000\n92605 100000\n46129 69114\n94797 100000\n33364 49905\n56403 84538\n92034 100000\n54528 81742\n47176 70709\n2516 3768\n17179 25667\n99856 100000\n57769 86588\n57467 86130\n62810 94201\n52014 77964\n21250 31784\n16362 24455\n15922 23809\n12746 19062\n82795 100000\n11088 16544\n52209 78260\n55399 83028\n93327 100000\n59657 89433\n78614 100000\n30360 45407\n26853 40189\n27497 41133\n29430 44002\n37611 56336\n85875 100000\n63562 95319\n45924 68798\n89963 100000\n41623 62371\n24281 36340\n488 727\n52875 79276\n58469 87641\n69701 100000\n76931 100000\n19857 29694\n80056 100000\n98515 100000\n59906 89806\n22264 33315\n68863 100000\n43678 65461\n36296 54350\n88083 100000\n28294 42319\n13748 20550\n60847 91249\n28712 42933\n94147 100000\n22074 33026\n58542 87753\n20934 31303\n54766 82089\n61844 92762\n43044 64508\n72553 100000\n69442 100000\n49372 74008\n71748 100000\n80194 100000\n30575 45731\n1341 2006\n84745 100000\n71722 100000\n21499 32154\n92201 100000\n61557 92329\n68497 100000\n78038 100000\n71114 100000\n10974 16375\n24904 37276\n63492 95216\n16675 24915\n86345 100000\n65206 97790\n56113 84099\n53592 80340\n58412 87560\n36310 54370\n76944 100000\n6592 9820\n22469 33628\n85497 100000\n22539 33733\n67858 100000\n51688 77481\n20606 30811\n23053 34511\n54331 81441\n40297 60368\n47974 71909\n71837 100000\n17952 26837\n70475 100000\n91569 100000\n51381 77029\n41601 62339\n26569 39775\n63991 95972\n27428 41034\n53046 79535\n66797 100000\n91446 100000\n43889 65777\n91119 100000\n70337 100000\n11712 17514\n32545 48681\n30614 45796\n36617 54837\n75122 100000\n97315 100000\n90670 100000\n43758 65578\n40046 59991\n23086 34559\n90794 100000\n77665 100000\n41857 62722\n71840 100000\n76403 100000\n90971 100000\n3846 5714\n61746 92623\n83633 100000\n61748 92625\n45637 68371\n87398 100000\n53931 80849\n25906 38770\n34495 51614\n80709 100000\n441 658\n57694 86478\n17399 26005\n42692 63965\n78938 100000\n15856 23705\n52697 78998\n13620 20363\n65338 98002\n43053 64519\n27834 41634\n83985 100000\n79757 100000\n60209 90280\n24628 36874\n31501 47136\n92139 100000\n60205 90273\n87364 100000\n89223 100000\n61701 92553\n4990 7425\n42802 64129\n3256 4851\n74115 100000\n92682 100000\n3693 5490\n71085 100000\n64347 96490\n11848 17722\n21799 32610\n50862 76242\n8010 11924\n85603 100000\n49245 73812\n95213 100000\n80433 100000\n97649 100000\n78840 100000\n98864 100000\n23122 34612\n40433 60574\n22186 33195\n19396 29006\n41202 61756\n47768 71594\n52040 78003\n26699 39968\n69248 100000\n86638 100000\n48539 72745\n45162 67654\n43549 65266\n47341 70957\n60345 90490\n90354 100000\n59891 89782\n13770 20588\n88892 100000\n24514 36704\n29689 44404\n27390 40979\n78697 100000\n84314 100000\n1713 2556\n35931 53784\n59322 88918\n41742 62547\n70924 100000\n88573 100000\n85873 100000\n57641 86396\n44553 66740\n25925 38801\n16598 24804\n29239 43714\n13137 19649\n84492 100000\n71450 100000\n41865 62735\n98024 100000\n62747 94101\n40071 60024\n9507 14181\n36652 54890\n34634 51815\n1509 2251\n8982 13395\n16788 25082\n57378 85991\n69446 100000\n56729 85032\n88365 100000\n798 1194\n24291 36356\n83808 100000\n8599 12814\n60157 90197\n20148 30111\n73545 100000\n78683 100000\n43115 64608\n78120 100000\n71115 100000\n36077 54011\n7818 11644\n14873 22228\n52996 79468\n77495 100000\n84606 100000\n74138 100000\n14516 21685\n57532 86229\n44748 67027\n77331 100000\n40189 60202\n41681 62454\n46521 69710\n20541 30710\n57074 85547\n49879 74776\n86836 100000\n73144 100000\n57450 86104\n23869 35724\n43707 65503\n81964 100000\n95672 100000\n36889 55246\n53448 80122\n25154 37647\n40293 60361\n69193 100000\n79115 100000\n37879 56731\n33512 50128\n8486 12640\n34202 51163\n5569 8293\n24191 36208\n10720 15991\n13326 19930\n81196 100000\n92614 100000\n31949 47811\n67258 100000\n24982 37393\n50030 75004\n52248 78319\n65859 98780\n4685 6964\n63936 95888\n15899 23771\n54029 80990\n39087 58542\n90835 100000\n21131 31600\n81949 100000\n42973 64397\n65138 97685\n14810 22126\n22071 33021\n42876 64243\n47412 71062\n174 255\n55892 83766\n23920 35800\n27879 41695\n87131 100000\n70374 100000\n57605 86338\n98724 100000\n47127 70637\n73223 100000\n93548 100000\n26716 39992\n84920 100000\n52504 78704\n7097 10579\n5977 8900\n17490 26141\n1911 2860\n1780 2659\n20744 31023\n19937 29809\n31729 47481\n3576 5315\n31788 47568\n99867 100000\n27003 40407\n23423 35058\n59765 89600\n78332 100000\n88079 100000\n31552 47213\n26363 39469\n73334 100000\n37094 55554\n68587 100000\n20662 30901\n64983 97446\n39469 59135\n23574 35284\n9237 13771\n89297 100000\n60894 91318\n46900 70287\n82049 100000\n9864 14723\n28829 43107\n63073 94597\n57683 86461\n92934 100000\n37647 56391\n85665 100000\n91287 100000\n57695 86480\n36963 55354\n72528 100000\n26387 39504\n55810 83638\n87266 100000\n97438 100000\n8372 12464\n21793 32600\n85368 100000\n44496 66657\n97343 100000\n44444 66583\n65425 98137\n89125 100000\n39205 58727\n79461 100000\n58853 88223\n41263 61839\n21343 31922\n71867 100000\n982 1467\n46635 69882\n29051 43437\n17078 25516\n24776 37092\n96243 100000\n21725 32500\n6242 9310\n23689 35456\n3614 5369\n31816 47612\n12151 18181\n55154 82656\n90825 100000\n28519 42646\n60231 90312\n21229 31748\n15942 23839\n53608 80364\n30135 45076\n51475 77159\n30970 46339\n20192 30172\n63476 95196\n9521 14202\n64256 96354\n56986 85411\n64699 97020\n90886 100000\n66561 99838\n39037 58465\n71726 100000\n23528 35216\n43279 64853\n95533 100000\n74037 100000\n55500 83181\n98302 100000\n55563 83272\n54551 81777\n74620 100000\n40007 59931\n22279 33339\n14582 21783\n90253 100000\n75028 100000\n72316 100000\n55546 83247\n51766 77597\n71145 100000\n13668 20426\n89446 100000\n39584 59301\n24295 36363\n99783 100000\n30854 46167\n63037 94543\n29267 43754\n57981 86905\n36197 54202\n49724 74539\n87172 100000\n1701 2535\n36849 55193\n42057 63024\n55733 83518\n74371 100000\n81630 100000\n14504 21669\n99442 100000\n80469 100000\n28350 42406\n28315 42348\n81301 100000\n41693 62472\n38174 57171\n56893 85281\n98583 100000\n47107 70604\n97364 100000\n68524 100000\n67620 100000\n46998 70437\n88758 100000\n80995 100000\n91349 100000\n52560 78786\n79282 100000\n15788 23602\n60689 91014\n30035 44923\n52731 79053\n71843 100000\n35421 52998\n96189 100000\n5565 8289\n91553 100000\n87502 100000\n14098 21065\n62172 93260\n18565 27752\n64258 96357\n78349 100000\n71041 100000\n5398 8044\n6579 9803\n43009 64452\n8208 12217\n65306 97950\n52522 78730\n52463 78644\n42320 63412\n69203 100000\n6495 9680\n10091 15062\n60528 90767\n43223 64759\n27168 40657\n29126 43543\n93106 100000\n31121 46555\n44861 67191\n43922 65828\n14718 21990\n56813 85157\n20748 31030\n42403 63541\n84819 100000\n57202 85731\n53048 79538\n29391 43942\n2804 4183\n34727 51951\n33795 50552\n67702 100000\n62592 93870\n2828 4219\n73154 100000\n86652 100000\n9377 13984\n38442 57586\n44514 66683\n77521 100000\n64484 96695\n95174 100000\n54624 81872\n34283 51295\n76048 100000\n47055 70522\n97677 100000\n69171 100000\n27781 41551\n78241 100000\n35757 53517\n28840 43120\n91839 100000\n12105 18116\n87080 100000\n38113 57083\n37791 56600\n57626 86373\n93627 100000\n97827 100000\n726 1084\n19355 28949\n44141 66151\n75431 100000\n25209 37736\n14439 21566\n94757 100000\n91428 100000\n56010 83944\n67644 100000\n59500 89188\n40500 60673\n68075 100000\n89049 100000\n41960 62880\n41110 61617\n69246 100000\n6714 9997\n79319 100000\n22576 33789\n47888 71780\n14608 21823\n37300 55866\n64790 97156\n9810 14642\n92016 100000\n38699 57967\n77196 100000\n53460 80140\n69615 100000\n24270 36324\n37197 55708\n55626 83362\n85572 100000\n25186 37695\n57099 85582\n5510 8210\n69236 100000\n68294 100000\n69186 100000\n35377 52930\n40450 60598\n99246 100000\n70112 100000\n16257 24306\n6773 10083\n49184 73724\n93996 100000\n71330 100000\n9022 13457\n46166 69172\n21404 32012\n55101 82582\n79683 100000\n2511 3761\n90448 100000\n89814 100000\n61346 92015\n90616 100000\n43525 65232\n48808 73145\n94902 100000\n24706 36985\n1724 2570\n60581 90848\n67726 100000\n817 1224\n64868 97274\n34456 51555\n26717 39994\n27319 40875\n46399 69523\n11763 17589\n79630 100000\n60168 90212\n44087 66068\n19175 28673\n79263 100000\n14241 21277\n21433 32055\n49875 74768\n13409 20049\n44911 67267\n17845 26685\n82227 100000\n43537 65250\n27615 41308\n61125 91662\n23386 35003\n18516 27677\n81320 100000\n89713 100000\n26097 39059\n22125 33108\n30093 45010\n52720 79034\n29627 44308\n91809 100000\n27215 40728\n34176 51125\n23938 35828\n13057 19526\n44206 66246\n51452 77125\n15137 22615\n3928 5832\n49050 73515\n39306 58877\n29276 43766\n31451 47062\n64001 95984\n91814 100000\n11861 17743\n55461 83124\n82361 100000\n22296 33366\n9310 13881\n79199 100000\n84720 100000\n1266 1893\n58285 87367\n79719 100000\n62122 93182\n29959 44810\n53281 79876\n45367 67967\n92164 100000\n50575 75804\n62290 93432\n63234 94839\n39685 59445\n71666 100000\n14604 21816\n84578 100000\n19223 28744\n5497 8192\n118 173\n11004 16422\n36003 53894\n61391 92080\n28024 41909\n44614 66827\n71696 100000\n17977 26875\n87981 100000\n99833 100000\n13156 19678\n82056 100000\n21206 31716\n3748 5574\n840 1260\n66112 99166\n24908 37281\n79357 100000\n65703 98552\n87672 100000\n14378 21477\n33840 50617\n72693 100000\n6231 9294\n28089 42012\n15723 23502\n65872 98798\n83565 100000\n2742 4089\n63269 94894\n28948 43276\n66853 100000\n22433 33575\n48903 73291\n41760 62575\n13001 19439\n89937 100000\n98507 100000\n70236 100000\n1661 2473\n535 799\n17081 25521\n62912 94354\n14433 21557\n57508 86191\n22541 33736\n86594 100000\n20318 30376\n14473 21619\n49481 74174\n95723 100000\n32091 48020\n90859 100000\n28062 41967\n39083 58536\n20040 29954\n1801 2691\n97543 100000\n26519 39695\n7753 11557\n50925 76338\n71530 100000\n71942 100000\n11801 17646\n90664 100000\n60195 90256\n60261 90359\n9951 14853\n75652 100000\n3816 5669\n84307 100000\n8268 12304\n7461 11125\n52540 78754\n43171 64684\n19391 29000\n20158 30125\n20388 30483\n20959 31339\n209 310\n2289 3423\n52424 78581\n14587 21789\n46284 69345\n86426 100000\n62131 93196\n43653 65418\n96347 100000\n56939 85346\n16946 25323\n14664 21908\n13504 20196\n13835 20679\n55341 82941\n81272 100000\n58728 88031\n61325 91982\n6766 10071\n71 105\n85719 100000\n39622 59357\n20886 31232\n93547 100000\n73836 100000\n73145 100000\n19412 29028\n46621 69862\n20910 31268\n80065 100000\n77837 100000\n47629 71383\n35824 53620\n9059 13509\n39999 59918\n87166 100000\n19286 28840\n85959 100000\n89978 100000\n88995 100000\n96020 100000\n57398 86021\n63341 94999\n65367 98048\n83620 100000\n30918 46265\n10957 16351\n10616 15841\n55307 82892\n73136 100000\n60002 89957\n27059 40490\n939 1406\n32105 48041\n27837 41637\n7070 10537\n24947 37337\n30775 46040\n81044 100000\n89393 100000\n84902 100000\n89346 100000\n11893 17789\n86819 100000\n82003 100000\n4325 6430\n82796 100000\n87107 100000\n6757 10058\n47016 70466\n61020 91507\n66830 100000\n7032 10484\n74830 100000\n99564 100000\n29506 44118\n48313 72406\n39917 59794\n48994 73428\n62439 93646\n17180 25668\n88070 100000\n36838 55177\n72683 100000\n58479 87658\n6815 10153\n16793 25089\n1503 2243\n47103 70597\n64686 97002\n57987 86913\n47733 71538\n61897 92847\n60718 91059\n38694 57958\n4257 6332\n10273 15324\n50668 75943\n32044 47949\n32014 47905\n72071 100000\n2088 3132\n11698 17492\n63895 95824\n89294 100000\n28218 42206\n88397 100000\n14143 21132\n65917 98863\n35154 52593\n79965 100000\n40356 60459\n40318 60401\n52120 78120\n68638 100000\n22734 34026\n95051 100000\n68682 100000\n84093 100000\n82338 100000\n28441 42540\n64606 96878\n12902 19295\n60848 91251\n49196 73742\n71935 100000\n82992 100000\n64410 96591\n40789 61132\n94163 100000\n3221 4798\n8574 12780\n40316 60397\n62136 93204\n25731 38511\n28800 43067\n11953 17879\n66696 100000\n54733 82041\n35812 53605\n10267 15316\n60941 91392\n90403 100000\n68913 100000\n31389 46965\n32286 48316\n22810 34144\n13299 19884\n90252 100000\n57571 86283\n83602 100000\n11771 17603\n49226 73785\n5929 8831\n20776 31075\n55681 83441\n57859 86722\n62253 93380\n59025 88473\n58720 88017\n16937 25309\n84721 100000\n46089 69049\n52659 78941\n66045 99065\n11119 16590\n9598 14318\n67301 100000\n32981 49330\n42066 63039\n95845 100000\n28724 42952\n6354 9473\n5149 7664\n11152 16639\n90887 100000\n45469 68119\n45164 67656\n98224 100000\n48045 72015\n8637 12869\n46495 69673\n1152 1721\n22795 34121\n25830 38662\n85615 100000\n18669 27910\n36689 54950\n59506 89197\n31309 46841\n19327 28902\n76885 100000\n22015 32939\n12787 19124\n7211 10751\n65717 98568\n8467 12608\n71414 100000\n40532 60727\n32827 49097\n24673 36937\n42124 63125\n4829 7179\n22077 33032\n25543 38226\n73486 100000\n26762 40060\n15654 23401\n56518 84719\n10655 15893\n64999 97470\n64175 96236\n18470 27606\n24185 36199\n55499 83179\n36426 54545\n79036 100000\n64871 97278\n66177 99266\n91907 100000\n40456 60606\n27914 41746\n1346 2011\n59337 88940\n17956 26842\n91306 100000\n66418 99626\n87251 100000\n63554 95308\n91430 100000\n96699 100000\n3710 5518\n42646 63898\n61118 91652\n1673 2493\n45689 68449\n25744 38528\n2391 3580\n41776 62597\n22570 33782\n97074 100000\n33056 49449\n58779 88109\n8573 12778\n74740 100000\n21812 32630\n46460 69621\n38805 58122\n48288 72372\n94261 100000\n27247 40773\n76932 100000\n66354 99529\n53003 79478\n12170 18208\n70684 100000\n92274 100000\n91593 100000\n32290 48322\n83758 100000\n44111 66104\n94792 100000\n49509 74218\n8644 12878\n86475 100000\n39322 58903\n99003 100000\n70710 100000\n35754 53512\n80971 100000\n23546 35243\n88867 100000\n31374 46942\n97646 100000\n53432 80097\n10630 15861\n2398 3590\n64965 97418\n56254 84311\n59407 89045\n77876 100000\n68327 100000\n67014 100000\n5498 8193\n4521 6724\n93175 100000\n37642 56384\n42727 64019\n64891 97308\n65720 98572\n23065 34528\n20561 30741\n17944 26825\n46735 70035\n23332 34928\n96868 100000\n56079 84040\n42299 63383\n24443 36594\n2890 4317\n19510 29177\n25079 37543\n98599 100000\n15898 23769\n17438 26066\n42596 63820\n70087 100000\n49136 73649\n58390 87526\n40900 61303\n49611 74374\n4529 6735\n40265 60320\n63002 94487\n26421 39554\n50544 75766\n86047 100000\n74280 100000\n83341 100000\n25294 37857\n68319 100000\n63366 95033\n45391 68002\n69102 100000\n99480 100000\n44154 66171\n45525 68201\n52751 79084\n27729 41477\n46793 70121\n12532 18737\n933 1398\n8575 12781\n34613 51785\n2271 3397\n75468 100000\n24919 37298\n8706 12971\n72511 100000\n28343 42395\n41973 62902\n72108 100000\n79349 100000\n93389 100000\n44471 66618\n8 12\n61535 92294\n90946 100000\n53202 79758\n17174 25660\n93021 100000\n98709 100000\n69608 100000\n91035 100000\n74055 100000\n4461 6635\n17762 26549\n24768 37078\n50768 76101\n18176 27169\n5195 7741\n14627 21853\n89776 100000\n48620 72865\n30458 45554\n24084 36043\n57158 85666\n5586 8317\n87587 100000\n67261 100000\n18441 27564\n77496 100000\n99885 100000\n87294 100000\n71255 100000\n46128 69112\n57150 85653\n56194 84225\n82291 100000\n49575 74319\n96897 100000\n18991 28393\n68683 100000\n29615 44290\n18751 28037\n51759 77588\n11531 17229\n42412 63556\n41745 62552\n48661 72925\n15279 22826\n95343 100000\n55449 83107\n3687 5481\n9528 14213\n19606 29325\n81987 100000\n96893 100000\n14144 21134\n80278 100000\n16262 24313\n79088 100000\n72512 100000\n14185 21193\n93598 100000\n13221 19771\n63868 95783\n45089 67540\n24949 37339\n65827 98731\n82768 100000\n99576 100000\n579 867\n17566 26253\n30150 45094\n71106 100000\n89186 100000\n96360 100000\n81134 100000\n53761 80599\n1779 2658\n32534 48667\n83240 100000\n43848 65715\n33986 50839\n31597 47280\n278 410\n32218 48212\n19931 29800\n51126 76638\n49911 74825\n63917 95862\n95262 100000\n59501 89189\n6532 9737\n22646 33893\n79085 100000\n73962 100000\n39936 59822\n11974 17911\n44241 66291\n5078 7563\n9602 14324\n59008 88449\n32164 48130\n13269 19839\n48920 73314\n46167 69173\n62827 94226\n81214 100000\n45485 68143\n73903 100000\n6604 9835\n11634 17390\n86114 100000\n75213 100000\n91956 100000\n75901 100000\n53431 80095\n36103 54055\n12626 18880\n30428 45510\n46710 69998\n32264 48282\n31006 46390\n57638 86391\n61702 92554\n4259 6335\n96286 100000\n41727 62523\n57593 86318\n83826 100000\n16054 24003\n79127 100000\n22326 33413\n18544 27721\n16866 25199\n87836 100000\n82910 100000\n47146 70665\n98164 100000\n84939 100000\n69936 100000\n47270 70848\n81523 100000\n12735 19044\n85342 100000\n37634 56371\n87367 100000\n21145 31623\n40388 60504\n95223 100000\n32501 48625\n65236 97833\n80068 100000\n96013 100000\n20725 30995\n34192 51146\n55573 83287\n87453 100000\n42456 63623\n17336 25905\n68430 100000\n73601 100000\n31780 47555\n21543 32224\n69358 100000\n57848 86703\n63308 94950\n13704 20482\n92286 100000\n14836 22166\n51981 77922\n63662 95459\n34229 51205\n14307 21374\n31250 46751\n20023 29929\n75576 100000\n51793 77636\n33702 50411\n76697 100000\n92766 100000\n90302 100000\n32957 49298\n61876 92815\n45964 68859\n72274 100000\n38765 58066\n15950 23852\n59210 88748\n25984 38892\n95905 100000\n1825 2727\n72825 100000\n47746 71560\n66644 99964\n55332 82929\n8672 12920\n52162 78187\n2146 3213\n58144 87155\n50155 75184\n91376 100000\n81107 100000\n17734 26511\n60613 90895\n3312 4927\n5281 7863\n31207 46684\n45570 68265\n82601 100000\n69202 100000\n72721 100000\n91154 100000\n70620 100000\n64782 97145\n73584 100000\n90702 100000\n25177 37681\n71931 100000\n5648 8406\n88843 100000\n97964 100000\n66247 99366\n84501 100000\n21998 32913\n23301 34885\n77174 100000\n12758 19079\n66777 100000\n12531 18736\n1118 1674\n377 553\n60330 90468\n33504 50117\n19629 29358\n42280 63356\n15280 22828\n62595 93875\n5368 7996\n93983 100000\n45250 67792\n16827 25140\n59617 89371\n21880 32740\n64522 96753\n77218 100000\n20080 30012\n44499 66661\n49629 74400\n71025 100000\n17501 26158\n97102 100000\n2337 3500\n54872 82248\n94774 100000\n52638 78904\n39235 58771\n65469 98204\n1965 2941\n13539 20243\n58801 88146\n30121 45055\n55826 83664\n43930 65838\n50821 76181\n29792 44560\n23479 35144\n5334 7942\n15006 22421\n84573 100000\n40030 59968\n26733 40018\n16952 25331\n29230 43702\n98159 100000\n63502 95229\n40731 61043\n78529 100000\n38531 57719\n12770 19099\n85963 100000\n94183 100000\n83546 100000\n41041 61516\n78856 100000\n21176 31667\n27891 41714\n89851 100000\n58113 87107\n76673 100000\n69426 100000\n98339 100000\n77694 100000\n80914 100000\n87214 100000\n61563 92336\n31475 47099\n43462 65139\n7773 11584\n82524 100000\n56872 85250\n11866 17751\n12379 18514\n77959 100000\n90603 100000\n69866 100000\n9183 13694\n30608 45785\n59723 89534\n44475 66624\n911 1363\n49670 74459\n72218 100000\n98437 100000\n59327 88925\n49003 73439\n46301 69373\n46280 69340\n45609 68327\n27201 40705\n47053 70519\n86035 100000\n68841 100000\n11851 17727\n52662 78946\n82042 100000\n46012 68938\n5896 8785\n1523 2271\n34913 52231\n39880 59742\n22644 33890\n1311 1963\n82916 100000\n11702 17498\n83301 100000\n89360 100000\n66140 99206\n72397 100000\n609 909\n69400 100000\n10613 15838\n18478 27619\n68881 100000\n68514 100000\n61347 92016\n34894 52202\n59247 88804\n12033 18005\n31200 46672\n12411 18562\n98557 100000\n95652 100000\n81842 100000\n86564 100000\n49527 74245\n1975 2959\n86511 100000\n89028 100000\n84061 100000\n96037 100000\n88407 100000\n87630 100000\n13878 20744\n67504 100000\n88348 100000\n93201 100000\n90049 100000\n20550 30725\n91103 100000\n17100 25553\n32209 48199\n33944 50780\n35122 52546\n41108 61614\n86885 100000\n1040 1557\n41762 62577\n29001 43359\n77213 100000\n3182 4741\n77017 100000\n80066 100000\n59607 89355\n23455 35106\n78791 100000\n54884 82263\n63688 95500\n76999 100000\n81248 100000\n74922 100000\n44450 66591\n65968 98947\n95491 100000\n26851 40186\n34854 52136\n80462 100000\n64987 97452\n18748 28032\n45435 68066\n99938 100000\n98921 100000\n21907 32780\n3911 5807\n71215 100000\n29445 44024\n99383 100000\n5460 8136\n76566 100000\n22956 34372\n8633 12861\n84882 100000\n68705 100000\n20261 30275\n21 33\n82471 100000\n37160 55653\n8522 12699\n41007 61461\n94242 100000\n48674 72946\n60923 91361\n14472 21617\n24525 36722\n19356 28950\n1550 2313\n1315 1967\n63716 95542\n46749 70056\n31784 47561\n86211 100000\n81422 100000\n16957 25338\n54040 81005\n52631 78893\n25525 38202\n78785 100000\n24867 37222\n4940 7347\n7699 11483\n44315 66397\n11824 17682\n79305 100000\n46573 69785\n81315 100000\n51138 76656\n69258 100000\n91954 100000\n57421 86058\n56034 83975\n8288 12334\n22072 33023\n88768 100000\n14371 21467\n21883 32745\n22666 33924\n96430 100000\n26641 39883\n38862 58209\n64205 96278\n54422 81577\n9433 14068\n9540 14233\n54193 81240\n82426 100000\n19949 29825\n38863 58211\n30622 45808\n93198 100000\n35780 53551\n82467 100000\n34264 51263\n85885 100000\n42909 64298\n35592 53268\n51473 77156\n88327 100000\n48916 73308\n22011 32933\n34301 51320\n48400 72539\n20184 30163\n4062 6031\n17299 25846\n96249 100000\n3060 4562\n7509 11198\n69302 100000\n55149 82650\n35833 53635\n93560 100000\n43419 65074\n85670 100000\n35663 53369\n2887 4312\n89146 100000\n59777 89619\n29333 43852\n79864 100000\n58937 88342\n27298 40843\n71825 100000\n85801 100000\n88722 100000\n78313 100000\n9498 14167\n71366 100000\n94649 100000\n15934 23829\n3188 4750\n51146 76669\n3364 5000\n76608 100000\n70922 100000\n51830 77691\n84284 100000\n9284 13843\n6747 10044\n59650 89422\n79094 100000\n39535 59236\n26409 39537\n18028 26946\n53626 80391\n92494 100000\n78403 100000\n92315 100000\n31793 47575\n14750 22036\n79802 100000\n21270 31815\n58296 87386\n39909 59782\n76253 100000\n94538 100000\n95121 100000\n27047 40469\n80176 100000\n24128 36107\n76600 100000\n11426 17057\n15188 22689\n49528 74246\n73883 100000\n41375 62002\n13371 19990\n11500 17179\n36238 54263\n90488 100000\n91058 100000\n19460 29101\n41731 62529\n51223 76786\n34951 52287\n66094 99141\n41925 62825\n38008 56923\n33117 49542\n8008 11921\n16630 24850\n50303 75403\n22427 33566\n26595 39811\n8081 12024\n45923 68797\n46350 69444\n84801 100000\n90635 100000\n99760 100000\n91299 100000\n11985 17929\n28770 43018\n98053 100000\n58088 87073\n67138 100000\n34597 51762\n80770 100000\n10802 16113\n21012 31420\n73981 100000\n26918 40284\n39266 58817\n26025 38951\n71833 100000\n76161 100000\n85917 100000\n22740 34035\n70926 100000\n6786 10107\n77386 100000\n18077 27022\n52625 78885\n49919 74837\n33516 50134\n81161 100000\n91247 100000\n97841 100000\n89458 100000\n79392 100000\n80578 100000\n91221 100000\n38037 56968\n85845 100000\n61882 92826\n7387 11017\n27260 40791\n18670 27912\n82616 100000\n86360 100000\n31357 46919\n24241 36284\n48388 72519\n60593 90864\n3984 5916\n77617 100000\n26116 39090\n89669 100000\n55758 83556\n47877 71763\n12360 18483\n87624 100000\n15066 22509\n70257 100000\n30689 45907\n88691 100000\n92125 100000\n9553 14254\n53324 79943\n99847 100000\n57034 85487\n75659 100000\n47895 71791\n84226 100000\n85952 100000\n52548 78768\n45335 67921\n74400 100000\n99071 100000\n73751 100000\n34497 51618\n55279 82850\n17221 25727\n52039 78002\n3045 4537\n48067 72048\n98468 100000\n31748 47507\n41540 62254\n9456 14105\n70212 100000\n4891 7272\n78573 100000\n8871 13227\n46646 69898\n33870 50664\n90713 100000\n29497 44104\n86775 100000\n36173 54164\n6257 9332\n8531 12713\n64033 96028\n40590 60823\n22986 34417\n70728 100000\n2342 3506\n72210 100000\n93793 100000\n94576 100000\n13302 19889\n38083 57041\n45717 68493\n42234 63287\n73723 100000\n39376 58991\n62479 93703\n60372 90528\n64164 96220\n87085 100000\n76703 100000\n73153 100000\n59137 88635\n43129 64628\n34259 51256\n9731 14520\n20076 30006\n56801 85141\n90892 100000\n8970 13378\n52516 78721\n49500 74203\n24584 36807\n39819 59650\n41488 62175\n78268 100000\n88865 100000\n67749 100000\n23889 35754\n42887 64261\n81443 100000\n28805 43073\n90293 100000\n32416 48500\n87811 100000\n27450 41066\n50318 75427\n78768 100000\n26517 39692\n24979 37387\n81409 100000\n77144 100000\n53593 80341\n38913 58277\n50949 76374\n19580 29288\n53502 80202\n89087 100000\n96851 100000\n27797 41573\n80511 100000\n34084 50988\n44904 67256\n38726 58006\n32453 48556\n26686 39950\n81561 100000\n749 1119\n56669 84938\n47556 71280\n16745 25020\n30849 46160\n62106 93161\n69110 100000\n90009 100000\n74664 100000\n36735 55016\n85101 100000\n11610 17353\n95396 100000\n45795 68612\n33563 50202\n11945 17868\n36583 54785\n84779 100000\n36047 53960\n53217 79781\n93474 100000\n69934 100000\n73986 100000\n63737 95578\n62055 93085\n23919 35798\n93211 100000\n35718 53453\n10911 16279\n82531 100000\n14735 22015\n38596 57814\n84339 100000\n3436 5103\n11352 16946\n93132 100000\n56423 84567\n90074 100000\n47230 70794\n55719 83496\n39230 58764\n5606 8346\n59399 89032\n42186 63217\n18817 28131\n52776 79125\n6738 10031\n38848 58186\n46465 69629\n21540 32219\n90220 100000\n25196 37713\n70765 100000\n60835 91234\n34401 51478\n98537 100000\n30484 45593\n13010 19452\n49565 74304\n5442 8110\n93554 100000\n53779 80622\n40247 60293\n58602 87841\n71200 100000\n9111 13588\n76602 100000\n9818 14654\n96972 100000\n71523 100000\n34359 51410\n85702 100000\n19220 28739\n75623 100000\n74379 100000\n95811 100000\n99265 100000\n40907 61311\n12077 18074\n54056 81030\n15090 22545\n35300 52811\n40026 59961\n43750 65569\n76996 100000\n71859 100000\n70144 100000\n29451 44034\n24962 37358\n286 421\n76010 100000\n15107 22569\n94217 100000\n16984 25380\n14011 20939\n68693 100000\n30355 45398\n88455 100000\n61673 92509\n33678 50377\n78811 100000\n24557 36767\n79657 100000\n55005 82446\n20841 31166\n80007 100000\n78359 100000\n79769 100000\n15954 23859\n64379 96542\n8067 12002\n37675 56432\n59840 89713\n97188 100000\n26894 40249\n93089 100000\n33313 49827\n63066 94587\n22735 34028\n6027 8980\n34449 51545\n85769 100000\n654 978\n7014 10458\n66074 99108\n11422 17051\n98869 100000\n39690 59455\n19119 28591\n81610 100000\n59368 88989\n23704 35477\n88633 100000\n88392 100000\n34810 52074\n53357 79989\n48248 72313\n54395 81540\n94575 100000\n67836 100000\n14692 21950\n24535 36738\n52494 78690\n77504 100000\n57762 86578\n27986 41853\n37342 55930\n72573 100000\n44820 67126\n89212 100000\n71686 100000\n23735 35518\n34859 52144\n35915 53763\n87180 100000\n80819 100000\n48252 72320\n61915 92873\n77365 100000\n38290 57347\n65887 98819\n21669 32416\n9260 13805\n21349 31931\n72616 100000\n79258 100000\n39241 58780\n43335 64938\n61698 92549\n72728 100000\n45272 67823\n2833 4227\n70712 100000\n35825 53622\n27370 40949\n24995 37413\n93055 100000\n88675 100000\n18921 28288\n6278 9364\n78224 100000\n6133 9143\n16278 24334\n14039 20980\n23562 35266\n94851 100000\n70379 100000\n46266 69316\n77141 100000\n2629 3936\n64202 96274\n34555 51699\n18970 28360\n72615 100000\n42959 64377\n54676 81950\n52343 78454\n33422 49992\n17795 26603\n30558 45705\n25580 38288\n37341 55929\n77240 100000\n9545 14241\n62352 93522\n37431 56063\n67029 100000\n50753 76076\n22693 33963\n79787 100000\n56391 84521\n42778 64093\n40448 60595\n19303 28867\n19458 29097\n72361 100000\n61735 92605\n11249 16792\n6835 10181\n39343 58936\n39669 59422\n47288 70878\n44402 66520\n51840 77708\n41800 62632\n37649 56394\n53168 79705\n26358 39462\n11579 17300\n58944 88354\n22651 33901\n6333 9444\n38900 58263\n29481 44076\n15268 22811\n81211 100000\n18676 27920\n36686 54945\n27300 40845\n56806 85148\n72841 100000\n94010 100000\n68224 100000\n45093 67547\n54063 81042\n14023 20959\n84417 100000\n22314 33393\n46733 70033\n33808 50571\n66976 100000\n7515 11207\n57318 85900\n29341 43866\n40903 61307\n32772 49014\n95534 100000\n72750 100000\n40157 60155\n84759 100000\n19320 28891\n47604 71350\n18424 27538\n87447 100000\n43038 64497\n45871 68721\n21570 32266\n75938 100000\n10239 15277\n76128 100000\n10626 15855\n64799 97169\n25275 37829\n18368 27460\n48087 72077\n89986 100000\n55750 83542\n294 431\n64265 96368\n89576 100000\n18289 27336\n3372 5012\n90254 100000\n47834 71697\n7457 11119\n67144 100000\n47133 70646\n27117 40584\n89772 100000\n69741 100000\n88828 100000\n33379 49928\n86 128\n63947 95905\n64111 96140\n8074 12013\n29814 44594\n29233 43705\n11648 17414\n40922 61332\n49971 74916\n37015 55431\n69050 100000\n62639 93944\n64660 96962\n82720 100000\n20510 30666\n18158 27143\n734 1096\n64374 96534\n66703 100000\n61170 91732\n73018 100000\n82909 100000\n25617 38341\n43520 65224\n37825 56644\n22533 33724\n70530 100000\n80916 100000\n85699 100000\n4546 6758\n16772 25061\n69060 100000\n20845 31172\n28469 42577\n98566 100000\n75467 100000\n92426 100000\n86833 100000\n54268 81352\n3405 5059\n64269 96375\n11609 17351\n15557 23254\n80638 100000\n50399 75553\n75323 100000\n64555 96803\n226 337\n37767 56567\n13756 20562\n72295 100000\n95773 100000\n75900 100000\n74952 100000\n93772 100000\n63177 94755\n47807 71655\n26859 40196\n37248 55784\n91294 100000\n35703 53428\n6897 10283\n45382 67990\n42064 63036\n99525 100000\n20735 31009\n11236 16773\n56865 85238\n17151 25624\n21000 31400\n40160 60159\n38970 58364\n6795 10121\n82683 100000\n35879 53706\n38828 58156\n9258 13802\n35756 53516\n80560 100000\n89473 100000\n87514 100000\n34603 51770\n42517 63708\n45504 68171\n89384 100000\n15372 22966\n68547 100000\n12613 18859\n5860 8728\n95667 100000\n73634 100000\n23872 35729\n80527 100000\n93448 100000\n22 34\n62731 94081\n88486 100000\n21199 31704\n75436 100000\n74748 100000\n48283 72366\n4981 7414\n91887 100000\n16040 23983\n22521 33704\n98734 100000\n77855 100000\n47633 71388\n49745 74570\n48998 73434\n56900 85290\n20298 30340\n86864 100000\n53944 80869\n59881 89769\n71182 100000\n40703 60997\n5099 7594\n37854 56691\n62167 93251\n60198 90261\n76073 100000\n67981 100000\n9929 14822\n84201 100000\n81451 100000\n79886 100000\n77662 100000\n76098 100000\n21971 32873\n35448 53044\n2362 3535\n32855 49140\n96646 100000\n86269 100000\n15314 22879\n4504 6698\n92057 100000\n1993 2988\n68672 100000\n56260 84319\n82191 100000\n60067 90061\n15396 23001\n49905 74817\n42688 63960\n35685 53405\n66459 99686\n42243 63302\n17491 26143\n39623 59358\n71727 100000\n53077 79576\n1237 1850\n69448 100000\n87639 100000\n64823 97207\n85950 100000\n21273 31821\n79912 100000\n22843 34197\n74028 100000\n41487 62174\n5039 7505\n29575 44222\n97215 100000\n91153 100000\n55284 82858\n85496 100000\n35108 52524\n58571 87795\n79791 100000\n49291 73880\n7099 10582\n81376 100000\n78799 100000\n32207 48196\n80892 100000\n21604 32313\n16515 24685\n29435 44009\n38591 57807\n34905 52220\n92458 100000\n5877 8755\n84504 100000\n84327 100000\n31665 47380\n49388 74033\n3166 4718\n90826 100000\n75716 100000\n49117 73621\n86292 100000\n70602 100000\n88808 100000\n98419 100000\n4555 6771\n72715 100000\n17885 26747\n5522 8227\n62312 93464\n93533 100000\n98562 100000\n96859 100000\n98532 100000\n36148 54123\n8521 12697\n99901 100000\n66214 99320\n95930 100000\n78801 100000\n2709 4044\n93191 100000\n39957 59855\n17730 26504\n39733 59519\n72024 100000\n87944 100000\n29110 43519\n73516 100000\n6788 10111\n69399 100000\n59325 88922\n72192 100000\n77610 100000\n4336 6449\n38835 58167\n41232 61797\n67556 100000\n60553 90806\n40261 60314\n56137 84135\n8744 13027\n82694 100000\n39869 59726\n95395 100000\n2262 3383\n66033 99044\n72923 100000\n90619 100000\n66620 99929\n34475 51584\n3780 5618\n44638 66861\n56158 84169\n8059 11990\n85647 100000\n83800 100000\n88961 100000\n27364 40939\n32069 47984\n33135 49571\n29375 43919\n36377 54474\n95052 100000\n27509 41153\n57588 86312\n27128 40601\n29552 44189\n55305 82889\n4547 6759\n86274 100000\n47517 71220\n53556 80282\n57720 86520\n90145 100000\n64243 96334\n23329 34922\n24581 36803\n65284 97912\n19547 29232\n10232 15266\n83831 100000\n71217 100000\n45822 68649\n74369 100000\n99888 100000\n18239 27261\n35335 52862\n48279 72361\n85708 100000\n89038 100000\n98907 100000\n69595 100000\n53770 80610\n53300 79905\n96293 100000\n34409 51490\n60156 90195\n34573 51725\n21173 31664\n26742 40031\n94683 100000\n30319 45343\n95888 100000\n75915 100000\n29512 44126\n12476 18654\n92536 100000\n26739 40026\n52654 78933\n10582 15794\n27909 41738\n76361 100000\n77626 100000\n71393 100000\n95770 100000\n6199 9246\n1397 2089\n34739 51970\n85551 100000\n36204 54213\n47866 71747\n38270 57316\n72756 100000\n27027 40443\n63494 95219\n94809 100000\n52373 78499\n63761 95616\n26082 39036\n75608 100000\n72176 100000\n1563 2332\n59168 88684\n34142 51075\n32754 48988\n8228 12247\n49806 74663\n23478 35142\n31161 46612\n64453 96656\n46996 70434\n874 1310\n8323 12391\n41077 61567\n32722 48938\n25139 37626\n96158 100000\n44368 66470\n30399 45464\n46547 69747\n45223 67750\n78100 100000\n26278 39336\n75917 100000\n50875 76260\n91369 100000\n19373 28974\n8919 13303\n5562 8285\n33040 49422\n72102 100000\n75770 100000\n33299 49810\n73183 100000\n36667 54912\n60664 90976\n94012 100000\n53723 80539\n69892 100000\n31376 46946\n68459 100000\n25451 38094\n5671 8440\n32734 48956\n61691 92536\n32591 48746\n54094 81090\n2209 3305\n51760 77590\n3113 4638\n18975 28367\n41003 61455\n79800 100000\n78939 100000\n1488 2220\n99575 100000\n4652 6917\n49023 73470\n69227 100000\n61241 91844\n6753 10052\n39298 58864\n59442 89097\n71327 100000\n26571 39778\n42653 63907\n4925 7327\n14823 22146\n38859 58205\n90205 100000\n11630 17385\n94117 100000\n28994 43348\n65692 98535\n74071 100000\n83998 100000\n41305 61897\n52118 78118\n50478 75663\n62112 93169\n46829 70179\n19430 29055\n47902 71799\n17609 26317\n68878 100000\n90748 100000\n62005 93007\n74516 100000\n98095 100000\n11874 17764\n36062 53986\n5133 7642\n41327 61928\n70093 100000\n48956 73372\n24552 36761\n11064 16510\n79427 100000\n65709 98558\n98500 100000\n55299 82881\n55221 82762\n7239 10794\n57828 86675\n9824 14664\n11131 16607\n15344 22924\n50958 76389\n45129 67606\n45919 68791\n87446 100000\n94619 100000\n10978 16380\n88527 100000\n60713 91052\n80161 100000\n48932 73336\n14834 22164\n15605 23326\n1203 1800\n79855 100000\n56656 84920\n43652 65417\n20815 31126\n12294 18397\n82179 100000\n85501 100000\n53483 80173\n74809 100000\n39095 58554\n48640 72893\n61978 92968\n62733 94083\n87640 100000\n8278 12318\n48962 73380\n82418 100000\n61381 92066\n67929 100000\n45273 67825\n2908 4341\n58557 87773\n44052 66015\n75241 100000\n78265 100000\n59914 89819\n36120 54083\n77063 100000\n56095 84070\n21363 31950\n14054 21000\n95420 100000\n56529 84736\n46185 69196\n20522 30684\n19638 29369\n57886 86764\n11679 17458\n99660 100000\n30688 45906\n14137 21123\n70136 100000\n21542 32222\n87387 100000\n77042 100000\n39612 59344\n5713 8502\n83321 100000\n26069 39015\n45004 67410\n81944 100000\n51032 76500\n7944 11828\n92918 100000\n75141 100000\n83405 100000\n17205 25704\n61399 92093\n38804 58121\n18784 28080\n12541 18750\n78956 100000\n24365 36476\n72849 100000\n93869 100000\n24914 37291\n88172 100000\n48399 72538\n28325 42364\n67396 100000\n90200 100000\n87354 100000\n95027 100000\n101 148\n76573 100000\n79549 100000\n70991 100000\n78950 100000\n10586 15800\n51218 76778\n84541 100000\n3825 5683\n73691 100000\n24265 36318\n51905 77804\n82880 100000\n58273 87346\n29887 44701\n85714 100000\n72288 100000\n62623 93919\n16710 24969\n23716 35493\n34972 52323\n80371 100000\n8535 12718\n46261 69309\n86680 100000\n28376 42442\n9246 13787\n21434 32056\n80574 100000\n56259 84318\n30102 45024\n2917 4354\n25695 38459\n66866 100000\n48241 72301\n91277 100000\n74692 100000\n21908 32782\n10197 15213\n48838 73191\n82651 100000\n39435 59084\n29108 43517\n90027 100000\n17951 26835\n40698 60988\n65052 97546\n85759 100000\n79025 100000\n33631 50305\n58407 87552\n9207 13725\n57463 86125\n63901 95835\n84835 100000\n70952 100000\n12017 17979\n52177 78210\n8173 12165\n9944 14843\n7068 10534\n69835 100000\n90700 100000\n65301 97941\n10553 15750\n43925 65831\n71388 100000\n72501 100000\n58378 87507\n87122 100000\n4745 7052\n32302 48339\n71936 100000\n98561 100000\n87136 100000\n58150 87164\n41986 62920\n4311 6410\n65932 98888\n36025 53926\n98650 100000\n40174 60178\n20068 29994\n70234 100000\n91723 100000\n51590 77335\n96354 100000\n59284 88866\n2215 3313\n51221 76783\n64880 97290\n32376 48441\n65432 98148\n50445 75614\n31909 47747\n72062 100000\n3532 5248\n92821 100000\n34850 52131\n64553 96801\n74891 100000\n52451 78623\n34670 51865\n29975 44839\n40708 61005\n62763 94128\n31971 47844\n44795 67093\n55366 82979\n74610 100000\n62220 93329\n3303 4916\n13254 19815\n60267 90368\n396 584\n71596 100000\n1310 1961\n46881 70259\n17556 26240\n4979 7411\n15036 22466\n25439 38077\n10331 15417\n92871 100000\n59498 89185\n36791 55102\n48752 73057\n92490 100000\n36828 55159\n91851 100000\n48121 72130\n47936 71854\n68916 100000\n55442 83096\n2086 3130\n77005 100000\n15725 23505\n88009 100000\n23179 34693\n26848 40183\n62034 93053\n15676 23434\n55479 83149\n95424 100000\n51018 76479\n78469 100000\n23396 35019\n64525 96758\n37397 56015\n49991 74946\n72724 100000\n44426 66555\n53452 80130\n54039 81004\n52709 79016\n69762 100000\n88457 100000\n34251 51243\n52116 78116\n58775 88104\n21645 32381\n1922 2875\n27804 41585\n1427 2138\n76330 100000\n89672 100000\n23682 35447\n3666 5450\n76009 100000\n39665 59416\n68225 100000\n12524 18725\n45297 67863\n84814 100000\n22425 33563\n59452 89114\n41609 62350\n15673 23431\n44370 66472\n80798 100000\n61072 91587\n37257 55797\n33465 50056\n21714 32482\n46099 69066\n53501 80201\n8701 12962\n51742 77565\n8135 12106\n90686 100000\n18282 27327\n37602 56321\n40999 61448\n260 384\n91345 100000\n49989 74944\n19526 29203\n48093 72088\n29174 43615\n18634 27852\n41403 62048\n8541 12729\n88985 100000\n87405 100000\n80981 100000\n65640 98456\n36561 54750\n2452 3669\n24313 36392\n98235 100000\n86980 100000\n31446 47056\n19531 29209\n23398 35021\n98718 100000\n96330 100000\n82983 100000\n88678 100000\n12355 18478\n79390 100000\n48702 72981\n47515 71217\n21053 31480\n59812 89674\n4118 6120\n6976 10401\n78424 100000\n17135 25600\n39590 59309\n42270 63341\n33529 50151\n88932 100000\n66186 99278\n31645 47348\n95910 100000\n71830 100000\n40335 60428\n25118 37598\n39771 59574\n42970 64393\n88154 100000\n37268 55814\n74226 100000\n69675 100000\n51809 77663\n50502 75699\n19461 29102\n3829 5689\n5924 8826\n64418 96602\n90376 100000\n65763 98642\n28732 42964\n33887 50690\n2607 3902\n48426 72575\n8085 12031\n75283 100000\n79315 100000\n79334 100000\n60351 90498\n80470 100000\n2281 3412\n33079 49483\n324 477\n95728 100000\n2949 4404\n10301 15369\n13617 20358\n30467 45568\n9707 14483\n87359 100000\n86454 100000\n15091 22546\n19462 29103\n85581 100000\n97151 100000\n33855 50641\n20834 31154\n97467 100000\n95077 100000\n31331 46876\n5070 7551\n73088 100000\n50739 76058\n66905 100000\n19999 29897\n46987 70420\n60411 90587\n96312 100000\n65509 98265\n74396 100000\n74468 100000\n60811 91195\n9211 13732\n5645 8403\n4572 6796\n33733 50459\n66754 100000\n80172 100000\n25268 37821\n33834 50610\n81948 100000\n97657 100000\n45167 67661\n32869 49163\n93235 100000\n4399 6539\n35895 53731\n42365 63482\n8621 12848\n24419 36559\n53459 80139\n16283 24341\n13267 19836\n82423 100000\n42344 63448\n41974 62903\n30635 45829\n77123 100000\n19635 29365\n38217 57235\n61851 92774\n26539 39726\n81193 100000\n65201 97782\n44739 67013\n90951 100000\n24563 36776\n72358 100000\n50837 76205\n25761 38556\n10074 15038\n93599 100000\n18760 28049\n77877 100000\n42733 64029\n82845 100000\n41430 62088\n6465 9635\n11909 17812\n59559 89280\n61473 92201\n90706 100000\n78677 100000\n53456 80136\n39424 59065\n19557 29248\n22667 33925\n13129 19636\n63331 94985\n63241 94851\n72583 100000\n6529 9733\n40423 60559\n50586 75820\n72033 100000\n13059 19530\n88155 100000\n32316 48359\n68586 100000\n78273 100000\n6480 9658\n70477 100000\n6987 10418\n37839 56669\n85509 100000\n10673 15921\n21295 31851\n31537 47191\n66223 99333\n66779 100000\n48398 72537\n62704 94039\n73050 100000\n34179 51129\n90550 100000\n45179 67679\n76853 100000\n92585 100000\n19146 28628\n43296 64880\n32810 49073\n29137 43560\n74600 100000\n88610 100000\n67509 100000\n73106 100000\n24447 36601\n83868 100000\n96104 100000\n20342 30410\n14254 21296\n96086 100000\n74362 100000\n93689 100000\n24289 36353\n59635 89401\n24435 36581\n11619 17367\n42928 64329\n25474 38130\n94464 100000\n73382 100000\n37969 56861\n93917 100000\n61225 91816\n55090 82567\n39409 59043\n61437 92149\n5458 8133\n16804 25106\n45859 68704\n67022 100000\n27152 40635\n33550 50182\n22543 33738\n80463 100000\n60849 91253\n95444 100000\n64785 97149\n29450 44033\n31422 47016\n11962 17895\n36598 54808\n72022 100000\n308 453\n9770 14577\n26847 40181\n21191 31691\n93183 100000\n87470 100000\n48833 73183\n92891 100000\n61571 92346\n23750 35539\n75954 100000\n85050 100000\n71662 100000\n83536 100000\n82590 100000\n36992 55394\n83017 100000\n98340 100000\n7025 10473\n97797 100000\n8689 12947\n9769 14576\n70328 100000\n62616 93910\n14270 21320\n36524 54690\n94608 100000\n60049 90033\n66256 99379\n49415 74074\n19113 28581\n14432 21555\n89002 100000\n11423 17053\n44900 67251\n96231 100000\n42826 64166\n5607 8348\n82705 100000\n13746 20548\n21472 32115\n80110 100000\n49325 73933\n78751 100000\n47295 70888\n7418 11065\n49615 74380\n56698 84984\n49358 73986\n43709 65506\n19114 28583\n12667 18943\n75800 100000\n6097 9086\n54477 81661\n76659 100000\n19380 28983\n56600 84836\n34467 51572\n78053 100000\n14679 21930\n90981 100000\n25312 37884\n94130 100000\n68563 100000\n63613 95390\n28543 42679\n30845 46153\n99743 100000\n11287 16850\n44252 66307\n56914 85311\n76691 100000\n50852 76228\n94067 100000\n27158 40642\n14702 21964\n60793 91173\n61149 91702\n64689 97005\n2172 3253\n22643 33889\n73740 100000\n87938 100000\n55877 83744\n97821 100000\n65076 97584\n7577 11296\n94393 100000\n39045 58476\n94818 100000\n67122 100000\n7800 11619\n77993 100000\n17906 26772\n62671 93991\n10412 15549\n2982 4448\n94735 100000\n69766 100000\n54949 82363\n40726 61034\n4520 6722\n10717 15987\n95772 100000\n48414 72558\n20237 30238\n71133 100000\n27719 41460\n47531 71243\n66383 99573\n74843 100000\n15574 23280\n69767 100000\n4171 6206\n64313 96442\n81870 100000\n36577 54777\n62281 93419\n41874 62746\n35193 52654\n62899 94331\n85202 100000\n20453 30580\n57808 86645\n54867 82242\n70999 100000\n51248 76825\n56432 84581\n624 933\n71405 100000\n32190 48170\n85599 100000\n19632 29362\n78066 100000\n46513 69697\n56873 85251\n47085 70569\n46049 68994\n88259 100000\n8499 12661\n21560 32253\n7220 10768\n2135 3197\n95645 100000\n90830 100000\n49740 74563\n56304 84388\n85413 100000\n47001 70443\n29894 44712\n21474 32118\n27609 41300\n12957 19375\n44058 66023\n42196 63230\n64028 96021\n71401 100000\n18803 28111\n61291 91925\n7859 11709\n62092 93141\n15695 23461\n75226 100000\n35156 52597\n70156 100000\n73589 100000\n42071 63047\n18781 28076\n13575 20301\n62331 93490\n81016 100000\n49897 74803\n31482 47110\n29639 44326\n34443 51538\n2007 3007\n93125 100000\n76066 100000\n32857 49144\n61704 92556\n12609 18852\n55791 83608\n97988 100000\n24257 36307\n69846 100000\n46978 70408\n73373 100000\n39709 59486\n83905 100000\n85936 100000\n15885 23751\n17108 25562\n85300 100000\n54363 81493\n16898 25249\n8431 12551\n11627 17381\n38609 57832\n88451 100000\n10965 16363\n86185 100000\n16424 24543\n36820 55147\n31367 46933\n51429 77095\n62004 93006\n55203 82735\n24753 37055\n23082 34552\n76171 100000\n48583 72809\n17185 25675\n71454 100000\n47565 71292\n17712 26478\n23294 34873\n15493 23154\n97299 100000\n37134 55613\n64559 96809\n33175 49626\n96839 100000\n73 107\n77995 100000\n87395 100000\n40377 60489\n43688 65475\n93712 100000\n12032 18003\n24314 36394\n55016 82459\n17409 26019\n4029 5984\n60269 90371\n28801 43069\n2942 4393\n87691 100000\n1011 1515\n54658 81922\n74351 100000\n62353 93523\n8232 12254\n88534 100000\n22382 33503\n2820 4205\n84466 100000\n27566 41232\n86512 100000\n82816 100000\n63447 95152\n77849 100000\n46780 70103\n95417 100000\n66899 100000\n98973 100000\n56015 83951\n51983 77924\n33659 50347\n12469 18645\n41649 62407\n28777 43027\n36596 54805\n50248 75320\n10400 15528\n97653 100000\n10931 16311\n20283 30316\n32028 47927\n66934 100000\n74670 100000\n83711 100000\n2278 3407\n84079 100000\n91725 100000\n57675 86450\n42493 63673\n35936 53792\n73287 100000\n78246 100000\n67916 100000\n29016 43383\n15317 22884\n63070 94593\n32866 49158\n90091 100000\n17733 26510\n67063 100000\n3362 4996\n52459 78636\n26986 40387\n86439 100000\n1514 2257\n29223 43691\n60619 90905\n83653 100000\n66063 99089\n74822 100000\n55486 83160\n27786 41559\n57800 86633\n8572 12776\n60977 91442\n12488 18672\n87566 100000\n37200 55711\n79743 100000\n7219 10766\n16044 23988\n49190 73734\n98633 100000\n58174 87200\n12933 19339\n88179 100000\n33108 49527\n74588 100000\n52752 79085\n58006 86947\n79446 100000\n93196 100000\n33526 50148\n65099 97623\n89031 100000\n53503 80204\n53719 80531\n44069 66041\n8864 13216\n26695 39963\n51206 76762\n34464 51567\n18097 27054\n72807 100000\n56854 85220\n17727 26500\n34070 50964\n92209 100000\n54639 81895\n14880 22239\n48751 73055\n70494 100000\n69770 100000\n2277 3406\n71051 100000\n1259 1882\n2986 4454\n11844 17715\n69424 100000\n76656 100000\n6079 9060\n71578 100000\n44322 66406\n97472 100000\n76005 100000\n63435 95136\n63596 95367\n64695 97013\n48840 73194\n35402 52967\n12006 17963\n84816 100000\n34419 51506\n37115 55585\n34072 50967\n36691 54954\n56208 84244\n58748 88061\n51745 77569\n56000 83929\n33173 49624\n13841 20689\n15527 23208\n38474 57635\n12980 19409\n90120 100000\n69959 100000\n29846 44639\n50550 75775\n34980 52334\n3128 4659\n72477 100000\n72324 100000\n95504 100000\n11155 16644\n10463 15623\n74534 100000\n55588 83309\n3712 5521\n80631 100000\n61995 92991\n20658 30895\n93623 100000\n82490 100000\n14273 21324\n57867 86734\n23775 35577\n9920 14808\n59297 88885\n82679 100000\n74101 100000\n31694 47423\n77812 100000\n85248 100000\n39025 58447\n72208 100000\n42486 63661\n5449 8120\n16352 24439\n78150 100000\n60612 90894\n75430 100000\n31066 46476\n38927 58297\n3339 4963\n50652 75914\n31648 47353\n90932 100000\n63835 95731\n89472 100000\n7119 10613\n44043 66002\n67966 100000\n57882 86757\n22177 33183\n28051 41951\n16869 25203\n74890 100000\n4942 7350\n12907 19302\n80796 100000\n59430 89076\n73576 100000\n53947 80873\n46539 69732\n52981 79445\n62030 93046\n89006 100000\n16747 25022\n63915 95858\n34663 51854\n34076 50974\n62292 93435\n23323 34915\n39190 58703\n56864 85236\n56638 84892\n78986 100000\n47265 70842\n7287 10865\n40144 60137\n81244 100000\n15874 23735\n84634 100000\n33838 50615\n10010 14945\n27209 40718\n89557 100000\n43398 65037\n44841 67157\n4800 7137\n18611 27815\n43189 64708\n3431 5096\n77994 100000\n97508 100000\n75130 100000\n1379 2063\n80766 100000\n86140 100000\n95122 100000\n16735 25005\n86480 100000\n36874 55228\n26600 39819\n9732 14521\n58953 88368\n39647 59390\n63148 94710\n33833 50608\n34556 51700\n11265 16818\n53753 80586\n8290 12337\n61552 92321\n72428 100000\n38939 58314\n45139 67620\n57512 86197\n79143 100000\n89572 100000\n90440 100000\n95336 100000\n73675 100000\n98455 100000\n32573 48721\n42870 64234\n49634 74407\n83075 100000\n67353 100000\n23100 34577\n14724 21999\n55893 83768\n67313 100000\n80165 100000\n32742 48968\n81046 100000\n51363 76997\n11494 17169\n1808 2702\n81618 100000\n1518 2263\n26046 38978\n98662 100000\n26092 39051\n10749 16036\n74983 100000\n5486 8175\n7868 11723\n68537 100000\n58578 87805\n76998 100000\n7050 10510\n74676 100000\n59740 89557\n84031 100000\n84786 100000\n61110 91640\n63543 95293\n12810 19162\n21871 32726\n82066 100000\n40285 60349\n18386 27484\n60665 90978\n30188 45155\n21372 31963\n76053 100000\n81504 100000\n82680 100000\n69642 100000\n61446 92162\n42534 63735\n56963 85378\n66198 99294\n90227 100000\n98847 100000\n73481 100000\n66888 100000\n33869 50663\n68269 100000\n64325 96458\n50555 75780\n65853 98772\n81080 100000\n74462 100000\n80503 100000\n6656 9911\n52735 79059\n4100 6088\n65554 98331\n56470 84640\n12879 19261\n40878 61268\n36720 54994\n85809 100000\n25030 37469\n35211 52682\n19655 29394\n7787 11603\n744 1112\n73443 100000\n17971 26863\n95221 100000\n50038 75017\n98019 100000\n26370 39482\n70432 100000\n52154 78172\n2918 4356\n27233 40752\n88422 100000\n42990 64422\n67152 100000\n77257 100000\n6429 9582\n33160 49606\n7609 11346\n75658 100000\n76425 100000\n41279 61861\n3064 4567\n64786 97150\n96436 100000\n57080 85554\n74435 100000\n56269 84333\n19056 28493\n80625 100000\n44038 65992\n75993 100000\n54469 81648\n59763 89596\n46028 68965\n99661 100000\n82112 100000\n29467 44055\n82625 100000\n72140 100000\n45067 67502\n25429 38062\n55184 82706\n72332 100000\n16351 24438\n36987 55389\n2594 3883\n62202 93303\n32265 48283\n48796 73129\n45183 67687\n39320 58899\n8533 12715\n84161 100000\n6279 9365\n82185 100000\n36183 54180\n40932 61350\n85570 100000\n61582 92364\n44500 66663\n8523 12700\n60180 90231\n92963 100000\n4980 7412\n38470 57629\n87392 100000\n90431 100000\n43935 65844\n73085 100000\n99962 100000\n66546 99817\n25791 38604\n36080 54017\n78055 100000\n79133 100000\n10422 15565\n36656 54897\n39344 58937\n71670 100000\n79779 100000\n67953 100000\n24957 37351\n14698 21958\n94014 100000\n47460 71134\n97526 100000\n57849 86705\n96782 100000\n64945 97389\n99205 100000\n58078 87056\n65735 98599\n79260 100000\n34262 51260\n8676 12926\n75669 100000\n1209 1809\n58338 87446\n33893 50699\n33223 49694\n95275 100000\n50504 75703\n59163 88677\n99123 100000\n73708 100000\n31733 47487\n27309 40859\n97847 100000\n5846 8706\n74834 100000\n15121 22590\n15865 23718\n12512 18707\n2734 4077\n93753 100000\n6689 9958\n29070 43466\n86249 100000\n25233 37769\n91807 100000\n75967 100000\n56641 84896\n63347 95007\n68629 100000\n32491 48609\n43910 65811\n44759 67043\n37107 55573\n70281 100000\n18923 28291\n55766 83569\n54191 81238\n65757 98635\n37726 56507\n73563 100000\n77977 100000\n85147 100000\n6283 9370\n47158 70682\n91571 100000\n85608 100000\n72180 100000\n94333 100000\n39139 58625\n48025 71983\n88427 100000\n83345 100000\n57961 86880\n79034 100000\n68620 100000\n92543 100000\n7533 11234\n76527 100000\n37283 55837\n46984 70416\n6818 10158\n99710 100000\n45371 67973\n6777 10091\n21520 32187\n2756 4108\n58207 87248\n54249 81322\n39944 59832\n38360 57458\n93473 100000\n20282 30314\n3385 5034\n18512 27672\n80186 100000\n26371 39483\n65254 97863\n45260 67805\n58051 87016\n62196 93293\n89307 100000\n70108 100000\n58066 87037\n66011 99012\n46381 69494\n62430 93633\n33201 49663\n82205 100000\n33385 49938\n50412 75571\n32969 49313\n97993 100000\n40933 61351\n13811 20646\n24400 36531\n2644 3958\n14881 22241\n10900 16265\n17186 25676\n74893 100000\n50742 76061\n55010 82451\n91031 100000\n34370 51427\n96138 100000\n44208 66249\n78503 100000\n55265 82827\n73171 100000\n73449 100000\n45534 68214\n74864 100000\n87723 100000\n45915 68786\n91917 100000\n67668 100000\n6472 9646\n67404 100000\n90593 100000\n29455 44040\n53454 80132\n25252 37798\n5439 8105\n33464 50054\n94385 100000\n28633 42811\n61440 92153\n66719 100000\n27050 40474\n69654 100000\n31743 47500\n95938 100000\n31004 46386\n58252 87318\n42372 63492\n67252 100000\n25296 37861\n43689 65476\n7749 11551\n52232 78294\n85087 100000\n67705 100000\n33562 50201\n9953 14856\n47705 71495\n87780 100000\n74438 100000\n76642 100000\n26960 40347\n64941 97383\n44619 66834\n39244 58783\n22178 33184\n77408 100000\n13201 19745\n85257 100000\n23026 34474\n33740 50472\n34919 52241\n81937 100000\n56478 84654\n91123 100000\n89137 100000\n38987 58390\n4791 7121\n28904 43212\n42582 63803\n67835 100000\n84368 100000\n90250 100000\n74276 100000\n14061 21012\n32988 49339\n9362 13962\n38502 57674\n37799 56611\n73847 100000\n42953 64369\n62961 94425\n6560 9774\n66410 99614\n58742 88051\n86802 100000\n71113 100000\n53032 79520\n4080 6056\n44745 67023\n73146 100000\n60982 91450\n44075 66049\n95005 100000\n33787 50541\n72525 100000\n72118 100000\n76407 100000\n22590 33810\n73683 100000\n34550 51691\n44335 66427\n96570 100000\n82604 100000\n60700 91031\n25321 37897\n98363 100000\n31963 47831\n20142 30104\n67921 100000\n63921 95866\n27120 40590\n85142 100000\n4743 7049\n86572 100000\n61719 92581\n32065 47979\n95806 100000\n42627 63869\n36035 53941\n83838 100000\n44980 67376\n26194 39209\n43422 65078\n37416 56040\n3150 4692\n74293 100000\n36396 54501\n14928 22309\n98373 100000\n2279 3409\n93375 100000\n24862 37214\n12312 18419\n32472 48584\n33234 49710\n26527 39706\n73603 100000\n6821 10163\n98451 100000\n15982 23901\n85823 100000\n82586 100000\n50400 75555\n43096 64579\n7270 10837\n46364 69467\n14176 21182\n83492 100000\n37817 56635\n60592 90863\n92176 100000\n94545 100000\n21213 31726\n88509 100000\n28516 42642\n17775 26569\n23567 35274\n11566 17281\n22700 33973\n56699 84986\n34695 51907\n50347 75473\n40505 60683\n52770 79114\n15233 22761\n80524 100000\n36140 54112\n18635 27854\n74919 100000\n39661 59411\n18129 27099\n24092 36053\n37816 56633\n68925 100000\n97149 100000\n73164 100000\n69293 100000\n44451 66592\n25599 38315\n69611 100000\n73469 100000\n76101 100000\n92138 100000\n5313 7908\n79542 100000\n48959 73375\n14669 21914\n56393 84524\n20687 30935\n64538 96779\n43620 65375\n80266 100000\n88317 100000\n67204 100000\n77769 100000\n48961 73378\n99808 100000\n73499 100000\n92102 100000\n18458 27590\n21112 31571\n48912 73303\n35333 52859\n28031 41921\n73103 100000\n34561 51707\n54199 81250\n73670 100000\n75402 100000\n60641 90941\n28063 41969\n17832 26666\n3260 4859\n19723 29492\n16689 24935\n4955 7371\n62766 94133\n16188 24200\n7701 11487\n3713 5523\n86220 100000\n56957 85370\n549 824\n38025 56950\n55493 83171\n64264 96366\n64008 95993\n29855 44654\n58384 87517\n27626 41325\n29904 44728\n79193 100000\n98882 100000\n94667 100000\n67058 100000\n48245 72308\n77163 100000\n18638 27860\n51124 76635\n21266 31808\n33925 50751\n22947 34359\n66118 99176\n37485 56150\n41153 61681\n41104 61607\n88697 100000\n34750 51983\n35862 53680\n47632 71387\n84014 100000\n46276 69332\n93921 100000\n50097 75101\n63040 94547\n74874 100000\n55551 83255\n26592 39806\n29012 43376\n51125 76637\n46945 70356\n94640 100000\n33630 50303\n67781 100000\n37697 56462\n48894 73278\n6274 9358\n56955 85367\n11961 17894\n23569 35278\n69086 100000\n18436 27556\n25642 38376\n96814 100000\n54956 82375\n76262 100000\n25557 38248\n81978 100000\n78895 100000\n19814 29629\n76950 100000\n41571 62294\n31205 46681\n68030 100000\n51035 76505\n47500 71193\n69713 100000\n4505 6700\n51651 77423\n13258 19820\n65537 98306\n12963 19385\n97780 100000\n95897 100000\n15087 22540\n70411 100000\n81779 100000\n5435 8099\n70003 100000\n57520 86211\n21874 32731\n34999 52364\n76136 100000\n7306 10896\n36136 54106\n8291 12339\n67601 100000\n33713 50429\n74562 100000\n2912 4346\n21833 32663\n32990 49341\n82915 100000\n29920 44753\n10248 15290\n16792 25088\n19157 28644\n53763 80601\n58063 87034\n75149 100000\n55599 83322\n25819 38646\n21884 32747\n73323 100000\n94102 100000\n89923 100000\n22419 33554\n64752 97096\n68485 100000\n19837 29666\n60178 90227\n31005 46388\n83940 100000\n23940 35831\n81939 100000\n58683 87968\n18431 27549\n49051 73516\n52071 78050\n14450 21583\n69471 100000\n3948 5865\n52683 78978\n84378 100000\n37042 55475\n62795 94175\n82801 100000\n9988 14909\n64049 96053\n4549 6763\n53218 79783\n29935 44775\n53377 80019\n17608 26315\n76833 100000\n68203 100000\n53109 79623\n76259 100000\n63290 94923\n52006 77953\n86477 100000\n40962 61394\n71575 100000\n32966 49308\n74614 100000\n36184 54181\n31507 47144\n24475 36643\n96318 100000\n29459 44046\n75674 100000\n85450 100000\n71676 100000\n11925 17834\n12465 18639\n91330 100000\n86518 100000\n60322 90454\n68570 100000\n59636 89402\n23369 34980\n97069 100000\n40687 60971\n88406 100000\n80111 100000\n79325 100000\n67682 100000\n48757 73064\n33521 50141\n50901 76303\n16394 24503\n98865 100000\n89542 100000\n18308 27369\n56552 84769\n50057 75043\n25309 37881\n99595 100000\n7621 11365\n45084 67533\n71716 100000\n16230 24264\n25218 37751\n38123 57096\n32733 48955\n88023 100000\n46169 69176\n67145 100000\n5583 8314\n55151 82652\n420 623\n6421 9570\n5506 8205\n75833 100000\n43640 65403\n8639 12871\n17134 25599\n28643 42824\n71135 100000\n26990 40392\n89322 100000\n9161 13661\n83477 100000\n28181 42147\n67043 100000\n69355 100000\n1245 1862\n32965 49307\n30202 45175\n4468 6645\n39096 58556\n20800 31106\n95081 100000\n79452 100000\n1732 2582\n64086 96106\n18969 28359\n83551 100000\n69629 100000\n75229 100000\n36566 54757\n36595 54804\n58254 87320\n64305 96428\n9908 14787\n88506 100000\n54748 82063\n22198 33213\n12062 18053\n49072 73550\n31985 47866\n16330 24410\n97177 100000\n69065 100000\n85815 100000\n28074 41988\n7164 10685\n27733 41482\n22128 33112\n87529 100000\n99654 100000\n22132 33119\n39630 59366\n25466 38118\n27656 41366\n86907 100000\n86904 100000\n50596 75833\n64230 96316\n32054 47964\n80119 100000\n94636 100000\n99253 100000\n4977 7407\n15648 23392\n64500 96719\n39987 59899\n75638 100000\n20582 30775\n5854 8717\n30846 46155\n66495 99738\n95929 100000\n80899 100000\n24770 37081\n28614 42783\n47004 70447\n18392 27495\n17894 26758\n65799 98692\n54506 81705\n24406 36540\n31209 46687\n27895 41719\n73504 100000\n60415 90595\n67184 100000\n9930 14823\n5825 8673\n41520 62226\n40960 61392\n9043 13488\n3992 5929\n60488 90706\n80720 100000\n83404 100000\n37475 56134\n2508 3757\n85666 100000\n70301 100000\n32977 49325\n2329 3488\n76802 100000\n42395 63528\n1196 1787\n56267 84329\n4692 6971\n29708 44435\n12154 18186\n99075 100000\n54090 81084\n55715 83490\n98493 100000\n89759 100000\n40728 61037\n44725 66992\n45006 67413\n93324 100000\n51172 76710\n54255 81331\n48440 72594\n30828 46125\n99166 100000\n15591 23305\n56243 84296\n26721 40000\n42533 63733\n38797 58112\n3484 5175\n40126 60109\n88169 100000\n55935 83836\n23514 35196\n7725 11521\n17154 25628\n9834 14680\n87464 100000\n42783 64101\n8071 12008\n52013 77962\n2973 4434\n48613 72853\n81773 100000\n59251 88811\n80969 100000\n92855 100000\n1977 2962\n68989 100000\n16390 24496\n87077 100000\n16977 25369\n77542 100000\n75126 100000\n62859 94274\n79296 100000\n49550 74280\n59789 89636\n14890 22253\n38345 57436\n49810 74669\n3104 4625\n99120 100000\n32939 49269\n90374 100000\n59754 89579\n48038 72003\n79584 100000\n63608 95383\n533 795\n11407 17026\n22192 33204\n2201 3293\n4664 6936\n57268 85828\n90934 100000\n89088 100000\n12923 19325\n14923 22301\n56911 85306\n57644 86400\n11728 17535\n26431 39570\n58826 88186\n25040 37483\n85349 100000\n37309 55880\n21180 31673\n40092 60056\n83428 100000\n14435 21560\n18819 28135\n95138 100000\n96510 100000\n55089 82566\n25415 38040\n53159 79693\n73877 100000\n56288 84363\n61590 92378\n90177 100000\n86671 100000\n75627 100000\n84758 100000\n75655 100000\n20977 31366\n3635 5404\n33697 50402\n86811 100000\n23820 35651\n77019 100000\n18805 28113\n36110 54067\n99902 100000\n34004 50868\n80052 100000\n98986 100000\n99909 100000\n70826 100000\n49349 73972\n16746 25021\n2531 3791\n2274 3401\n67617 100000\n78096 100000\n7493 11173\n51435 77102\n52748 79079\n20762 31054\n2649 3964\n98365 100000\n45975 68877\n19912 29771\n75925 100000\n46125 69108\n50950 76376\n12200 18251\n28304 42333\n36763 55059\n68402 100000\n51140 76658\n37588 56301\n89836 100000\n38809 58129\n31354 46914\n60519 90752\n35356 52897\n78206 100000\n2076 3111\n44996 67400\n23008 34449\n22129 33114\n79399 100000\n29155 43589\n27680 41404\n87074 100000\n64673 96980\n61957 92936\n27607 41297\n56409 84547\n43595 65339\n74662 100000\n20292 30330\n75071 100000\n90001 100000\n10183 15190\n30324 45351\n43406 65052\n59612 89364\n84977 100000\n76895 100000\n94941 100000\n70493 100000\n39006 58418\n80447 100000\n23183 34698\n28036 41931\n66006 99005\n19605 29324\n92037 100000\n28374 42440\n38158 57149\n53909 80812\n61087 91610\n33483 50085\n63885 95809\n72603 100000\n62339 93504\n91261 100000\n64980 97440\n27629 41330\n49549 74278\n11046 16486\n94680 100000\n20998 31397\n84108 100000\n2725 4065\n71703 100000\n79482 100000\n77686 100000\n63363 95030\n13839 20685\n62578 93852\n49579 74325\n70854 100000\n53277 79870\n49146 73665\n87901 100000\n67217 100000\n67211 100000\n15978 23895\n890 1333\n77766 100000\n10131 15123\n18504 27659\n20381 30471\n47787 71624\n33161 49607\n97222 100000\n45149 67633\n95381 100000\n81886 100000\n28883 43187\n50889 76283\n66935 100000\n25736 38517\n32809 49071\n85532 100000\n60652 90958\n6202 9250\n28854 43141\n71743 100000\n32942 49275\n21759 32545\n76601 100000\n1313 1965\n36030 53933\n70029 100000\n77360 100000\n52059 78034\n28125 42067\n47293 70886\n16733 25002\n49085 73568\n44503 66668\n13880 20747\n1426 2137\n7414 11060\n48354 72468\n14730 22008\n48486 72667\n11005 16424\n50835 76202\n80575 100000\n36816 55139\n39258 58806\n96358 100000\n17644 26369\n19600 29315\n48907 73295\n54444 81610\n39489 59161\n84115 100000\n44890 67234\n21621 32342\n44135 66141\n45352 67945\n91830 100000\n27689 41419\n46693 69973\n34030 50907\n6540 9748\n75048 100000\n37383 55994\n86590 100000\n8783 13087\n16269 24323\n8597 12812\n76964 100000\n13980 20893\n59767 89604\n65787 98676\n30331 45362\n22444 33592\n92373 100000\n80612 100000\n22358 33465\n96337 100000\n82721 100000\n40013 59940\n88730 100000\n3757 5588\n75919 100000\n89573 100000\n3460 5141\n69553 100000\n46269 69319\n6910 10303\n39938 59824\n34877 52174\n83938 100000\n60408 90581\n19575 29279\n44580 66781\n25811 38635\n45045 67465\n42869 64233\n51422 77086\n35765 53528\n51796 77642\n83840 100000\n42271 63343\n9214 13737\n69535 100000\n9638 14377\n95511 100000\n50752 76074\n85703 100000\n82749 100000\n69665 100000\n9796 14616\n91020 100000\n28173 42135\n25930 38809\n65819 98720\n76328 100000\n72812 100000\n7155 10671\n85568 100000\n79224 100000\n18995 28400\n7505 11192\n40994 61442\n62021 93032\n89144 100000\n23799 35613\n19378 28981\n92113 100000\n2736 4079\n36314 54375\n23828 35664\n98492 100000\n58796 88137\n21628 32350\n27529 41180\n41193 61743\n49277 73860\n64323 96456\n66419 99627\n17785 26585\n98227 100000\n87555 100000\n13845 20695\n50791 76137\n8904 13276\n75200 100000\n60476 90687\n42250 63314\n64457 96660\n39172 58674\n10222 15252\n48209 72255\n81903 100000\n6668 9926\n73886 100000\n38353 57447\n53968 80902\n44497 66659\n99980 100000\n63723 95552\n60573 90836\n46347 69438\n1428 2139\n15119 22587\n38649 57890\n84341 100000\n55179 82700\n20493 30638\n14741 22024\n98192 100000\n40337 60431\n93721 100000\n6193 9239\n97747 100000\n37757 56551\n69735 100000\n81363 100000\n83617 100000\n40914 61321\n3066 4569\n42759 64066\n67915 100000\n13696 20469\n39092 58550\n8611 12833\n90409 100000\n76516 100000\n91652 100000\n73769 100000\n35530 53179\n84803 100000\n332 487\n86077 100000\n1101 1648\n55831 83672\n79615 100000\n18430 27548\n89689 100000\n31554 47215\n12128 18148\n90662 100000\n45666 68413\n76785 100000\n88280 100000\n30927 46278\n73895 100000\n17241 25756\n81733 100000\n27465 41087\n93483 100000\n30051 44947\n93038 100000\n92626 100000\n8865 13218\n54807 82151\n97628 100000\n16511 24678\n41959 62879\n26126 39108\n91127 100000\n3715 5525\n90821 100000\n36676 54929\n31768 47535\n14431 21553\n56672 84944\n7286 10864\n13272 19844\n10951 16342\n74440 100000\n13985 20900\n21693 32449\n82359 100000\n45592 68300\n90752 100000\n63962 95925\n59114 88605\n44342 66438\n51509 77209\n2640 3953\n52018 77968\n66523 99779\n71037 100000\n17 26\n8106 12065\n33891 50697\n57864 86730\n44962 67349\n34536 51674\n90432 100000\n95189 100000\n96820 100000\n21246 31779\n16773 25062\n25934 38814\n80207 100000\n78620 100000\n39420 59059\n59852 89731\n10937 16319\n53268 79858\n82799 100000\n33779 50526\n52749 79080\n6296 9389\n69121 100000\n7869 11724\n53128 79651\n46131 69118\n73712 100000\n93825 100000\n29327 43843\n65120 97654\n38571 57778\n32512 48638\n73226 100000\n67197 100000\n76213 100000\n43928 65834\n63299 94938\n37633 56369\n74678 100000\n2297 3437\n28974 43313\n63610 95385\n61769 92652\n362 530\n10382 15497\n27918 41752\n67097 100000\n12949 19362\n54823 82176\n79300 100000\n74572 100000\n85112 100000\n32665 48853\n40721 61026\n83005 100000\n75729 100000\n62097 93148\n59622 89380\n51629 77389\n97865 100000\n43937 65848\n12104 18114\n68364 100000\n41665 62433\n64900 97323\n98549 100000\n24646 36899\n46013 68939\n94257 100000\n19107 28572\n54589 81827\n41748 62556\n32007 47895\n70036 100000\n50955 76384\n93583 100000\n43993 65926\n14298 21361\n81808 100000\n72656 100000\n47072 70551\n72290 100000\n67098 100000\n60756 91116\n47445 71113\n35680 53398\n74027 100000\n9423 14055\n14977 22381\n78646 100000\n53993 80941\n33680 50380\n40384 60498\n90763 100000\n81450 100000\n38903 58266\n63545 95296\n20778 31078\n37510 56187\n51597 77346\n46709 69997\n92746 100000\n17694 26451\n27045 40467\n74397 100000\n88825 100000\n24766 37074\n85867 100000\n82283 100000\n21724 32499\n24662 36922\n91205 100000\n34087 50991\n29744 44482\n99740 100000\n44284 66349\n51637 77400\n55572 83286\n10537 15724\n18686 27938\n19731 29505\n65340 98004\n91542 100000\n51593 77338\n49014 73455\n99396 100000\n76377 100000\n77471 100000\n89499 100000\n25521 38197\n86276 100000\n30600 45773\n90158 100000\n59676 89461\n61176 91740\n27295 40838\n55432 83080\n20749 31032\n16263 24315\n96626 100000\n59941 89862\n35431 53014\n7207 10746\n597 892\n7907 11777\n22448 33597\n33581 50230\n98084 100000\n76237 100000\n17227 25737\n13141 19655\n83166 100000\n74585 100000\n51077 76565\n8131 12099\n64589 96850\n7554 11263\n68505 100000\n51296 76896\n4628 6879\n23420 35054\n71870 100000\n84274 100000\n89061 100000\n81018 100000\n89226 100000\n31531 47182\n74510 100000\n22141 33132\n52366 78490\n32214 48206\n84824 100000\n69079 100000\n78764 100000\n80436 100000\n40422 60557\n66832 100000\n73852 100000\n88066 100000\n42651 63905\n37531 56218\n26045 38976\n43104 64592\n22564 33771\n23229 34771\n76872 100000\n7588 11313\n57424 86063\n95701 100000\n67604 100000\n66224 99335\n45119 67588\n84748 100000\n25004 37427\n78626 100000\n2377 3559\n34067 50960\n79754 100000\n17144 25614\n57138 85634\n79018 100000\n82533 100000\n67502 100000\n39872 59730\n30473 45576\n33892 50698\n11235 16772\n16585 24785\n32039 47941\n76997 100000\n45304 67873\n24619 36861\n55484 83157\n61549 92316\n69281 100000\n87979 100000\n88416 100000\n9229 13757\n90307 100000\n53473 80158\n84503 100000\n66733 100000\n18973 28363\n9600 14321\n47259 70833\n75840 100000\n67409 100000\n84143 100000\n21834 32665\n94372 100000\n58409 87556\n37087 55544\n78607 100000\n62013 93021\n25361 37959\n2621 3922\n70025 100000\n17207 25706\n5247 7814\n67717 100000\n1441 2157\n89406 100000\n22297 33368\n65904 98844\n20433 30550\n70068 100000\n80121 100000\n28649 42835\n44788 67083\n99644 100000\n41417 62067\n18035 26958\n28010 41891\n26725 40006\n75589 100000\n64981 97442\n20638 30863\n80737 100000\n42736 64035\n7547 11254\n16903 25256\n59876 89763\n8207 12216\n65102 97627\n54886 82265\n15159 22647\n61975 92964\n57730 86536\n95127 100000\n38455 57608\n9634 14371\n2333 3495\n90012 100000\n50552 75777\n68219 100000\n35871 53694\n81253 100000\n58201 87239\n2115 3171\n57816 86658\n854 1280\n45364 67962\n66984 100000\n53252 79837\n57519 86209\n85385 100000\n30556 45701\n42465 63633\n12705 18998\n14825 22149\n71019 100000\n52652 78930\n71564 100000\n82602 100000\n13642 20394\n62971 94441\n53959 80890\n79977 100000\n75758 100000\n65277 97901\n40028 59964\n4687 6966\n61921 92881\n86468 100000\n73637 100000\n90744 100000\n99696 100000\n82718 100000\n3151 4694\n26843 40174\n34872 52166\n60101 90111\n24523 36718\n74948 100000\n94208 100000\n98824 100000\n65288 97918\n53468 80150\n90109 100000\n72691 100000\n94186 100000\n62677 94000\n35691 53414\n56615 84859\n51656 77431\n71978 100000\n67538 100000\n76078 100000\n50411 75570\n85794 100000\n49731 74550\n14315 21386\n85378 100000\n69817 100000\n83303 100000\n30200 45172\n51353 76982\n49673 74464\n41618 62364\n10886 16247\n59685 89476\n13029 19481\n29468 44056\n37210 55726\n33769 50512\n89804 100000\n3755 5585\n22686 33952\n84408 100000\n76783 100000\n38036 56966\n48701 72979\n52729 79049\n86595 100000\n37981 56881\n33211 49676\n48375 72499\n9516 14194\n97451 100000\n59743 89561\n14181 21188\n30193 45162\n52063 78040\n61477 92207\n25464 38116\n43230 64772\n83789 100000\n1304 1953\n2857 4262\n58235 87289\n47065 70539\n62896 94326\n96505 100000\n21165 31651\n8223 12240\n20874 31212\n94950 100000\n88462 100000\n52699 79001\n26823 40149\n3665 5449\n35525 53170\n19864 29706\n417 619\n96971 100000\n44488 66643\n26216 39243\n3167 4719\n74346 100000\n15522 23200\n23016 34460\n33797 50555\n37274 55825\n30676 45889\n25783 38593\n26183 39193\n92965 100000\n77596 100000\n56481 84659\n68375 100000\n79535 100000\n46773 70092\n50587 75822\n22781 34099\n67392 100000\n89714 100000\n63175 94753\n81371 100000\n82125 100000\n61739 92613\n72419 100000\n21947 32838\n44504 66669\n25507 38179\n45939 68822\n39599 59326\n98122 100000\n3764 5596\n17171 25655\n76900 100000\n98234 100000\n27533 41186\n35910 53755\n55971 83888\n25468 38121\n95847 100000\n4562 6780\n68020 100000\n12329 18441\n58708 88003\n75269 100000\n62874 94296\n38020 56943\n32215 48207\n49890 74793\n39619 59352\n14644 21878\n77013 100000\n12381 18518\n66188 99280\n57578 86295\n69385 100000\n42866 64228\n11903 17803\n1472 2199\n55467 83133\n66026 99034\n83167 100000\n92487 100000\n39800 59620\n95426 100000\n92938 100000\n90682 100000\n35902 53743\n38661 57908\n3883 5768\n67883 100000\n88480 100000\n656 981\n98696 100000\n61837 92750\n35588 53263\n79205 100000\n60739 91089\n98065 100000\n99406 100000\n9515 14192\n54306 81406\n99315 100000\n28217 42205\n91826 100000\n88229 100000\n73779 100000\n22727 34016\n10375 15486\n67703 100000\n80195 100000\n6009 8953\n76393 100000\n68346 100000\n66580 99867\n29843 44634\n51550 77277\n12478 18657\n19306 28871\n96437 100000\n75774 100000\n27865 41676\n49123 73628\n91844 100000\n99958 100000\n35600 53278\n93894 100000\n63369 95037\n44081 66058\n5992 8926\n86633 100000\n69556 100000\n60631 90923\n8243 12270\n44033 65985\n89748 100000\n73217 100000\n77582 100000\n94491 100000\n95549 100000\n45649 68387\n83004 100000\n10080 15046\n36622 54847\n95386 100000\n28185 42154\n77996 100000\n72967 100000\n76717 100000\n33138 49575\n99692 100000\n80870 100000\n17208 25708\n69041 100000\n69884 100000\n22410 33540\n98906 100000\n43090 64572\n46534 69725\n19669 29411\n78279 100000\n50121 75132\n80697 100000\n23005 34444\n4738 7042\n39862 59714\n88677 100000\n34668 51861\n68642 100000\n5471 8154\n97353 100000\n80415 100000\n60762 91125\n81445 100000\n48695 72971\n65483 98225\n52156 78176\n40392 60511\n15672 23430\n28461 42569\n65998 98994\n32551 48689\n82660 100000\n50861 76241\n8780 13083\n8493 12651\n20620 30835\n72178 100000\n79866 100000\n18509 27667\n61770 92654\n54643 81901\n89910 100000\n81010 100000\n32640 48818\n36775 55077\n4340 6454\n55095 82574\n66541 99810\n24813 37147\n65377 98063\n37819 56637\n45027 67440\n20190 30170\n6663 9920\n92220 100000\n33789 50544\n64030 96023\n95860 100000\n79668 100000\n69712 100000\n46342 69430\n60968 91431\n41769 62587\n64534 96773\n9240 13777\n20091 30028\n3994 5933\n11161 16655\n16646 24874\n53548 80268\n58713 88010\n55509 83195\n68313 100000\n7420 11068\n15478 23132\n39345 58939\n60730 91075\n62441 93649\n36318 54381\n72230 100000\n77171 100000\n87143 100000\n37563 56265\n78815 100000\n22495 33669\n46078 69034\n3273 4877\n94031 100000\n16732 25001\n26291 39357\n51843 77712\n79505 100000\n44181 66213\n69076 100000\n52131 78138\n27333 40896\n40891 61290\n39868 59725\n1784 2666\n75699 100000\n81068 100000\n99779 100000\n26160 39163\n61205 91786\n52502 78701\n90413 100000\n89089 100000\n32352 48410\n98496 100000\n73010 100000\n30960 46327\n22634 33877\n61930 92895\n65435 98152\n73772 100000\n54005 80956\n82744 100000\n37313 55886\n92677 100000\n58887 88269\n60908 91340\n10833 16158\n69605 100000\n24730 37020\n415 616\n12369 18497\n90813 100000\n73583 100000\n29852 44649\n74957 100000\n47658 71425\n1405 2102\n5276 7856\n6216 9270\n1847 2761\n34540 51679\n78988 100000\n78110 100000\n70252 100000\n14510 21676\n66630 99942\n11482 17150\n87893 100000\n86543 100000\n85542 100000\n33957 50797\n66096 99144\n82748 100000\n45333 67919\n90011 100000\n111 164\n10157 15153\n25465 38117\n24245 36291\n78984 100000\n29821 44607\n53026 79512\n88999 100000\n9445 14090\n29974 44837\n36287 54338\n50380 75524\n43186 64703\n21679 32431\n40753 61076\n49743 74567\n94882 100000\n32456 48559\n7272 10841\n88813 100000\n18883 28234\n68816 100000\n62947 94404\n95568 100000\n62390 93575\n67385 100000\n24095 36058\n70260 100000\n55474 83144\n47614 71365\n15249 22785\n24359 36466\n15454 23097\n63298 94936\n63997 95979\n7981 11881\n21243 31774\n47615 71367\n77204 100000\n25948 38839\n24945 37334\n15140 22619\n35346 52881\n81094 100000\n24526 36724\n57126 85618\n3612 5366\n3773 5609\n93912 100000\n67253 100000\n85566 100000\n27348 40917\n35125 52552\n45199 67711\n91389 100000\n56314 84403\n10955 16349\n8656 12898\n86715 100000\n84030 100000\n98829 100000\n16537 24718\n78286 100000\n88946 100000\n91865 100000\n76981 100000\n48488 72670\n73804 100000\n74628 100000\n81390 100000\n40128 60111\n11913 17817\n16017 23948\n55914 83802\n18001 26909\n15175 22668\n47715 71511\n93316 100000\n58657 87929\n59972 89910\n24466 36630\n34006 50871\n17167 25648\n14457 21594\n50997 76447\n39698 59467\n91329 100000\n91390 100000\n48321 72419\n17424 26044\n70917 100000\n47708 71499\n45867 68717\n39019 58438\n32420 48506\n4911 7303\n65235 97832\n91265 100000\n88143 100000\n5949 8863\n36343 54419\n79740 100000\n75362 100000\n16852 25177\n48171 72203\n39597 59322\n23404 35030\n16064 24019\n60576 90840\n61931 92896\n95463 100000\n49881 74778\n39124 58600\n3859 5730\n1362 2035\n88345 100000\n86694 100000\n50150 75177\n3378 5021\n57242 85788\n21354 31937\n36247 54277\n92982 100000\n52132 78140\n44875 67210\n24 37\n44772 67060\n41152 61679\n38231 57255\n15150 22634\n45137 67618\n83416 100000\n26472 39631\n91144 100000\n7188 10719\n82000 100000\n82931 100000\n72772 100000\n20280 30310\n29303 43808\n98598 100000\n91164 100000\n97048 100000\n29624 44303\n23741 35526\n78325 100000\n3761 5593\n25845 38684\n76414 100000\n86549 100000\n4452 6621\n41607 62347\n22262 33313\n51923 77832\n11550 17257\n16078 24042\n32318 48361\n87657 100000\n38285 57340\n21254 31790\n91366 100000\n37971 56864\n51283 76877\n72130 100000\n19942 29816\n73882 100000\n8344 12420\n65125 97663\n71283 100000\n5633 8384\n23074 34539\n60990 91462\n94452 100000\n4538 6747\n51775 77610\n4000 5941\n10446 15599\n26049 38982\n2830 4223\n10164 15164\n8582 12791\n16544 24730\n78698 100000\n10292 15355\n32898 49211\n11181 16686\n49816 74679\n33658 50345\n92144 100000\n92008 100000\n66438 99653\n39897 59765\n80711 100000\n18793 28093\n55752 83545\n33805 50567\n13521 20219\n10941 16325\n60 90\n15296 22853\n37022 55443\n78813 100000\n21108 31565\n49145 73663\n26804 40123\n1285 1927\n35430 53012\n52012 77960\n83949 100000\n29351 43883\n69960 100000\n6500 9688\n31837 47643\n92188 100000\n74153 100000\n46031 68968\n35271 52768\n62276 93412\n94998 100000\n31615 47306\n33938 50772\n67017 100000\n33202 49664\n73061 100000\n6768 10075\n25770 38571\n96785 100000\n57215 85748\n45181 67683\n70360 100000\n67016 100000\n74603 100000\n81515 100000\n6237 9302\n71490 100000\n26095 39056\n6674 9938\n88666 100000\n82450 100000\n34964 52310\n32166 48133\n31027 46418\n16680 24921\n43208 64737\n53280 79875\n95834 100000\n21848 32691\n45192 67699\n45073 67513\n15164 22653\n78946 100000\n86209 100000\n11598 17334\n30175 45134\n43655 65421\n69992 100000\n83976 100000\n34410 51491\n93045 100000\n99429 100000\n38356 57452\n72925 100000\n37962 56851\n54224 81284\n55983 83906\n14486 21639\n22068 33017\n71406 100000\n22210 33233\n63054 94567\n73186 100000\n66800 100000\n31356 46917\n58191 87224\n5602 8340\n44148 66161\n45824 68652\n46752 70062\n80683 100000\n89795 100000\n35197 52659\n83953 100000\n76323 100000\n11162 16656\n44320 66403\n26514 39687\n93532 100000\n74824 100000\n19042 28469\n69466 100000\n73023 100000\n72473 100000\n9777 14587\n53453 80131\n39923 59802\n77383 100000\n84925 100000\n87011 100000\n70964 100000\n61279 91907\n46651 69906\n52679 78972\n80705 100000\n19879 29725\n65407 98109\n36273 54316\n94836 100000\n2253 3370\n88646 100000\n71644 100000\n80338 100000\n435 647\n89012 100000\n12611 18856\n20012 29912\n44140 66150\n67329 100000\n77874 100000\n84674 100000\n80016 100000\n82462 100000\n7508 11196\n18278 27320\n64011 95998\n84033 100000\n82234 100000\n72605 100000\n36549 54731\n66362 99540\n46866 70237\n27602 41289\n51816 77672\n64646 96939\n90366 100000\n33340 49868\n65698 98544\n57875 86747\n47628 71382\n10279 15333\n23715 35491\n49924 74845\n31932 47783\n7928 11807\n33949 50787\n53865 80750\n36022 53921\n25707 38478\n90137 100000\n26963 40352\n45501 68165\n91884 100000\n22057 33001\n8858 13207\n72852 100000\n13797 20626\n119 174\n93487 100000\n59485 89165\n18418 27528\n92087 100000\n49478 74169\n26422 39555\n20443 30566\n91799 100000\n80150 100000\n78498 100000\n84077 100000\n95214 100000\n392 578\n62198 93296\n37390 56005\n18271 27309\n88642 100000\n21126 31592\n72767 100000\n12395 18538\n67910 100000\n89101 100000\n35097 52507\n98138 100000\n42236 63291\n37902 56767\n16346 24428\n64913 97341\n3758 5590\n30543 45681\n73896 100000\n74992 100000\n49188 73730\n16248 24294\n1603 2388\n93109 100000\n79985 100000\n79713 100000\n16300 24363\n84342 100000\n71092 100000\n48707 72989\n42515 63705\n39040 58470\n40188 60200\n38078 57033\n22599 33824\n61821 92727\n84049 100000\n15214 22730\n65866 98788\n44232 66280\n89611 100000\n86812 100000\n61850 92773\n68760 100000\n81197 100000\n63174 94752\n11552 17261\n41088 61582\n45877 68732\n62060 93093\n80783 100000\n29150 43581\n60584 90851\n81698 100000\n46163 69168\n70956 100000\n80596 100000\n8501 12664\n25476 38132\n75803 100000\n78671 100000\n52347 78459\n66606 99907\n19636 29367\n58225 87274\n9551 14250\n16800 25099\n70795 100000\n95001 100000\n37106 55571\n85539 100000\n30300 45318\n42479 63652\n74107 100000\n66169 99252\n96857 100000\n21442 32069\n19005 28415\n66458 99684\n42292 63373\n6461 9629\n86931 100000\n59639 89407\n38845 58181\n79466 100000\n88629 100000\n48046 72017\n12061 18051\n39392 59016\n62887 94314\n7033 10485\n64100 96126\n17040 25462\n53088 79590\n99029 100000\n70310 100000\n26629 39866\n15487 23144\n95595 100000\n67215 100000\n62210 93314\n44125 66126\n9084 13546\n93581 100000\n29983 44848\n59671 89453\n97690 100000\n43911 65813\n34437 51528\n44381 66489\n11607 17349\n55555 83260\n59107 88594\n51634 77396\n1154 1723\n34342 51381\n61822 92729\n40200 60220\n90044 100000\n73212 100000\n78154 100000\n80079 100000\n64992 97459\n34417 51502\n93489 100000\n68415 100000\n93652 100000\n29694 44411\n36591 54797\n98663 100000\n2161 3236\n69286 100000\n52617 78872\n57001 85436\n86628 100000\n70997 100000\n83381 100000\n55845 83696\n33220 49690\n31352 46911\n32064 47977\n5959 8877\n39367 58976\n25362 37960\n92887 100000\n79038 100000\n82014 100000\n85588 100000\n26715 39991\n58563 87782\n25979 38886\n47600 71343\n35611 53297\n82911 100000\n8090 12038\n74240 100000\n52221 78277\n88805 100000\n39238 58775\n78077 100000\n91690 100000\n69880 100000\n55680 83440\n45110 67575\n41779 62601\n15766 23571\n20646 30876\n25324 37902\n62121 93181\n34165 51110\n66903 100000\n96316 100000\n79174 100000\n8205 12212\n41180 61726\n93971 100000\n38816 58140\n87248 100000\n98946 100000\n13071 19548\n6114 9111\n4957 7374\n60769 91135\n41131 61648\n2432 3639\n62869 94289\n75636 100000\n23434 35076\n63968 95936\n72627 100000\n16777 25067\n61953 92930\n51912 77815\n19469 29114\n40308 60384\n4640 6900\n11897 17794\n39879 59740\n87211 100000\n99854 100000\n12577 18804\n20346 30417\n47496 71188\n92456 100000\n23316 34907\n93114 100000\n85624 100000\n87356 100000\n80113 100000\n11527 17224\n29393 43945\n46727 70024\n74756 100000\n59602 89348\n81005 100000\n87230 100000\n89459 100000\n93516 100000\n9607 14332\n31249 46749\n73131 100000\n93087 100000\n91380 100000\n53838 80712\n48691 72966\n83724 100000\n44799 67099\n56944 85352\n52689 78986\n3858 5728\n5098 7593\n49258 73831\n9010 13438\n52474 78660\n11690 17477\n51003 76457\n61699 92550\n72112 100000\n11663 17436\n85061 100000\n49155 73677\n31500 47135\n92499 100000\n19084 28534\n61556 92327\n33377 49926\n32904 49218\n25090 37557\n2927 4370\n47560 71287\n98442 100000\n21857 32705\n67974 100000\n71854 100000\n11213 16735\n23171 34680\n2091 3137\n62224 93334\n40262 60316\n98183 100000\n84090 100000\n72221 100000\n47769 71595\n18734 28011\n28789 43046\n57719 86519\n28651 42838\n2532 3793\n38925 58294\n26149 39145\n53751 80582\n80494 100000\n72917 100000\n22009 32930\n91500 100000\n84540 100000\n38473 57633\n20253 30263\n69035 100000\n36400 54505\n96969 100000\n48693 72968\n42347 63452\n5542 8258\n18477 27617\n98938 100000\n29523 44143\n69699 100000\n17011 25417\n3247 4838\n96350 100000\n67951 100000\n2655 3972\n55496 83174\n14648 21885\n47649 71410\n68926 100000\n31448 47059\n65529 98293\n76410 100000\n32674 48869\n84271 100000\n11105 16572\n47523 71230\n45328 67909\n77065 100000\n92082 100000\n45839 68673\n72460 100000\n49387 74031\n37034 55462\n71569 100000\n55301 82883\n78846 100000\n66667 99997\n43864 65737\n89416 100000\n48183 72223\n79818 100000\n83233 100000\n97205 100000\n59417 89060\n65545 98318\n4935 7341\n64679 96991\n14179 21186\n22370 33482\n98821 100000\n35454 53055\n59382 89005\n23180 34694\n29965 44820\n79774 100000\n63866 95780\n1066 1596\n17890 26752\n97527 100000\n67155 100000\n63743 95587\n45846 68683\n41671 62442\n86838 100000\n23485 35153\n65054 97550\n84512 100000\n73417 100000\n43742 65555\n98069 100000\n6985 10416\n52462 78642\n68 101\n68992 100000\n3899 5793\n76733 100000\n83865 100000\n22282 33344\n20616 30828\n12087 18088\n22496 33670\n31166 46620\n33063 49461\n62436 93641\n48160 72189\n38404 57526\n43801 65642\n82932 100000\n87516 100000\n59003 88442\n71484 100000\n97012 100000\n10753 16042\n95852 100000\n43955 65874\n35161 52603\n45676 68428\n83572 100000\n70176 100000\n42661 63919\n47937 71855\n8891 13257\n32931 49255\n5818 8664\n53162 79698\n26272 39325\n3926 5828\n63184 94764\n46526 69716\n94639 100000\n7640 11393\n85151 100000\n98099 100000\n44761 67046\n22749 34047\n19529 29206\n8312 12372\n78929 100000\n73973 100000\n78239 100000\n32493 48612\n35489 53111\n82357 100000\n52025 77980\n51267 76853\n88652 100000\n29844 44635\n46744 70049\n2775 4134\n93232 100000\n84755 100000\n54215 81271\n26093 39053\n57471 86136\n51832 77694\n79083 100000\n84794 100000\n69058 100000\n94269 100000\n5653 8414\n89096 100000\n98100 100000\n26269 39322\n63845 95747\n24166 36167\n55489 83165\n88490 100000\n80936 100000\n51702 77504\n59862 89745\n18575 27765\n63137 94693\n11517 17208\n56164 84177\n85935 100000\n30706 45933\n99128 100000\n2013 3015\n95261 100000\n88004 100000\n240 356\n81057 100000\n99167 100000\n35668 53379\n48202 72244\n71304 100000\n64594 96860\n72781 100000\n3554 5284\n32276 48299\n15147 22629\n81983 100000\n84790 100000\n28033 41925\n78482 100000\n2504 3751\n17025 25438\n33626 50297\n10540 15729\n8764 13058\n30965 46332\n80216 100000\n33013 49380\n76104 100000\n38416 57546\n96326 100000\n85635 100000\n63544 95295\n69637 100000\n42086 63070\n16454 24590\n2808 4189\n82973 100000\n74453 100000\n39393 59017\n25665 38413\n28739 42974\n45673 68424\n74619 100000\n37548 56241\n23754 35545\n72173 100000\n94780 100000\n63466 95182\n34987 52346\n96751 100000\n2039 3057\n16223 24254\n2812 4194\n80245 100000\n1864 2788\n22288 33353\n47091 70578\n54355 81478\n49267 73844\n40971 61409\n59270 88842\n88491 100000\n32671 48864\n9339 13925\n89330 100000\n56331 84429\n17718 26486\n10895 16259\n21844 32683\n89185 100000\n33321 49838\n17858 26707\n91227 100000\n44551 66736\n92433 100000\n99605 100000\n63068 94590\n68603 100000\n10429 15576\n82930 100000\n15596 23310\n32406 48484\n40455 60605\n24038 35974\n35438 53025\n86932 100000\n75090 100000\n30296 45313\n89668 100000\n3566 5300\n60675 90993\n522 778\n26596 39813\n13333 19938\n84680 100000\n34901 52213\n33928 50756\n59065 88532\n96797 100000\n97072 100000\n3585 5328\n23973 35876\n38499 57669\n64959 97409\n55330 82926\n48062 72039\n44778 67068\n75736 100000\n2239 3348\n89810 100000\n72292 100000\n74876 100000\n778 1165\n19764 29557\n24943 37331\n73045 100000\n48576 72801\n68038 100000\n7141 10649\n81740 100000\n81224 100000\n79639 100000\n32844 49124\n98258 100000\n80837 100000\n69700 100000\n45056 67481\n39873 59731\n56616 84861\n43494 65187\n57317 85898\n93438 100000\n48457 72623\n50729 76043\n4627 6877\n32730 48950\n66100 99150\n67336 100000\n87142 100000\n76438 100000\n8300 12353\n78928 100000\n21483 32132\n30260 45261\n3014 4496\n44187 66219\n67745 100000\n17276 25810\n45489 68147\n68664 100000\n98719 100000\n99083 100000\n47443 71110\n3016 4499\n6584 9810\n99226 100000\n85461 100000\n34329 51363\n51566 77301\n54144 81166\n33873 50668\n50179 75219\n86299 100000\n9828 14672\n75029 100000\n87090 100000\n24451 36606\n72289 100000\n84382 100000\n72347 100000\n15342 22922\n105 154\n10811 16129\n53693 80493\n38188 57193\n17988 26892\n6121 9122\n81130 100000\n86261 100000\n24149 36140\n48047 72019\n88524 100000\n52657 78937\n75497 100000\n39031 58457\n68013 100000\n31953 47815\n65007 97483\n32217 48210\n30821 46114\n25206 37730\n73344 100000\n81524 100000\n76254 100000\n23387 35004\n16606 24816\n35493 53118\n73587 100000\n93538 100000\n99072 100000\n54918 82313\n86283 100000\n70621 100000\n91788 100000\n73627 100000\n4111 6107\n52791 79148\n61395 92087\n30788 46061\n47207 70759\n85848 100000\n80573 100000\n76303 100000\n75756 100000\n29544 44176\n18352 27436\n94904 100000\n37204 55718\n66672 100000\n60143 90177\n15815 23644\n84012 100000\n40499 60671\n43476 65158\n3160 4708\n24802 37133\n51926 77836\n79479 100000\n51114 76618\n49967 74910\n25920 38793\n81070 100000\n95856 100000\n37994 56902\n12462 18634\n40575 60800\n99439 100000\n35908 53752\n61920 92880\n13664 20421\n7823 11652\n14662 21905\n27751 41509\n20106 30052\n17651 26381\n97380 100000\n22018 32944\n85143 100000\n52215 78270\n92356 100000\n54047 81015\n23722 35502\n64681 96993\n4190 6233\n57021 85466\n61518 92268\n88130 100000\n13673 20434\n89861 100000\n65588 98381\n51062 76545\n25254 37801\n36295 54349\n36233 54256\n73043 100000\n43157 64666\n77636 100000\n13675 20437\n91385 100000\n35132 52563\n16036 23975\n80795 100000\n64719 97048\n9250 13792\n42854 64211\n20693 30946\n7077 10549\n60804 91185\n19676 29423\n94776 100000\n37461 56115\n95128 100000\n42576 63794\n28215 42202\n44845 67165\n80630 100000\n9561 14267\n71261 100000\n80565 100000\n1871 2799\n70895 100000\n13525 20223\n16939 25312\n49761 74594\n90945 100000\n85862 100000\n66807 100000\n19058 28497\n75353 100000\n99845 100000\n28067 41975\n49979 74928\n9382 13991\n26186 39197\n50214 75267\n31243 46739\n30550 45692\n22026 32956\n44852 67177\n49928 74851\n54301 81400\n66921 100000\n89974 100000\n1172 1749\n40654 60919\n13914 20797\n9808 14638\n39730 59514\n49513 74223\n60419 90602\n20174 30147\n17416 26029\n55948 83854\n66040 99057\n22050 32990\n71029 100000\n14223 21251\n20756 31043\n85408 100000\n44074 66048\n79585 100000\n59601 89346\n77735 100000\n41214 61773\n47344 70962\n45015 67425\n28492 42608\n80037 100000\n26076 39026\n29745 44484\n13235 19791\n76322 100000\n82841 100000\n73855 100000\n88840 100000\n43098 64582\n39784 59596\n39941 59828\n59313 88906\n73343 100000\n88953 100000\n70109 100000\n86508 100000\n8695 12954\n24873 37231\n69663 100000\n87861 100000\n15683 23444\n32790 49040\n31479 47106\n44915 67274\n211 314\n93288 100000\n295 432\n64018 96007\n71519 100000\n82495 100000\n11457 17109\n9238 13773\n39459 59120\n96273 100000\n78467 100000\n36146 54121\n17312 25866\n63160 94728\n68997 100000\n40431 60570\n89497 100000\n47762 71586\n3203 4772\n38722 58001\n69577 100000\n96926 100000\n1156 1726\n47537 71252\n14628 21855\n76886 100000\n32850 49132\n23068 34532\n44263 66322\n18312 27374\n94726 100000\n97377 100000\n18586 27782\n82175 100000\n96398 100000\n27227 40744\n57700 86490\n36175 54168\n33208 49672\n70522 100000\n5709 8496\n93649 100000\n25306 37877\n97060 100000\n22681 33944\n16565 24756\n23630 35366\n2294 3432\n68236 100000\n21924 32806\n715 1068\n7746 11547\n76817 100000\n10069 15031\n13547 20256\n8516 12688\n73135 100000\n2214 3312\n61178 91744\n66882 100000\n59206 88742\n52774 79122\n1028 1539\n39439 59089\n42311 63399\n77279 100000\n66747 100000\n84032 100000\n42104 63096\n80648 100000\n52711 79019\n32088 48016\n72739 100000\n54381 81518\n86210 100000\n11484 17153\n18663 27900\n63671 95474\n24787 37108\n23798 35612\n24978 37385\n97140 100000\n15786 23600\n81882 100000\n88322 100000\n22113 33088\n13964 20869\n21321 31889\n39799 59619\n92109 100000\n61940 92912\n11006 16426\n11707 17505\n75366 100000\n60791 91169\n41559 62280\n71470 100000\n14206 21222\n13774 20592\n58457 87626\n36912 55279\n83449 100000\n42546 63754\n77518 100000\n61119 91653\n80629 100000\n35188 52645\n73862 100000\n11704 17501\n23159 34660\n40105 60078\n20486 30627\n9632 14368\n79037 100000\n46804 70140\n31599 47282\n31614 47304\n46341 69429\n19214 28727\n10342 15435\n85466 100000\n2597 3888\n27266 40798\n97145 100000\n64888 97303\n61610 92411\n34554 51697\n76757 100000\n37864 56707\n66194 99288\n65350 98020\n8171 12161\n86162 100000\n24165 36165\n31499 47134\n63282 94913\n1485 2217\n94773 100000\n14471 21615\n45681 68436\n44582 66783\n39293 58857\n11342 16932\n2030 3040\n34324 51355\n835 1251\n99664 100000\n54027 80988\n26865 40204\n35273 52771\n70643 100000\n78303 100000\n84881 100000\n67177 100000\n42477 63650\n64215 96292\n4648 6912\n34446 51541\n62275 93410\n59960 89892\n12694 18983\n86233 100000\n65536 98304\n69900 100000\n67268 100000\n42036 62995\n89998 100000\n97493 100000\n46509 69692\n7058 10521\n99882 100000\n41829 62680\n71516 100000\n39548 59252\n30023 44908\n61202 91782\n86747 100000\n92151 100000\n15254 22792\n56700 84987\n91233 100000\n52133 78142\n4225 6287\n39777 59585\n74053 100000\n96325 100000\n17027 25441\n26997 40399\n39925 59806\n27894 41718\n54343 81461\n14145 21136\n62084 93129\n34993 52355\n43670 65447\n64162 96218\n72233 100000\n32395 48470\n13280 19856\n94391 100000\n38689 57949\n99023 100000\n37907 56773\n20855 31187\n31977 47854\n50903 76306\n96271 100000\n7249 10808\n58195 87229\n90522 100000\n9870 14731\n88386 100000\n44153 66169\n10570 15776\n17064 25494\n64358 96508\n22691 33961\n63121 94673\n88907 100000\n88184 100000\n54311 81413\n66429 99640\n35665 53373\n90453 100000\n17966 26855\n82766 100000\n79256 100000\n81150 100000\n69588 100000\n42502 63685\n4090 6070\n42179 63206\n55761 83561\n65653 98475\n99508 100000\n16027 23961\n81655 100000\n95169 100000\n42588 63810\n85926 100000\n12436 18596\n52129 78135\n68657 100000\n95071 100000\n74275 100000\n70957 100000\n87641 100000\n96898 100000\n83273 100000\n83836 100000\n38768 58070\n67040 100000\n87908 100000\n81054 100000\n58998 88435\n60066 90059\n64372 96531\n24541 36746\n65324 97980\n84420 100000\n58508 87705\n55227 82771\n72319 100000\n80873 100000\n68707 100000\n23767 35565\n99386 100000\n49122 73627\n5796 8629\n16320 24396\n38202 57212\n6190 9234\n50130 75145\n78168 100000\n12098 18104\n86397 100000\n21943 32831\n1696 2529\n15904 23776\n18047 26977\n52924 79354\n53871 80759\n16331 24411\n15469 23120\n48094 72090\n70449 100000\n38394 57511\n8810 13134\n18500 27653\n27889 41710\n40571 60794\n6641 9888\n49304 73900\n46007 68928\n91011 100000\n20503 30656\n43961 65882\n56181 84203\n72950 100000\n56577 84803\n4649 6913\n5568 8292\n87925 100000\n84204 100000\n38548 57743\n57379 85993\n25843 38681\n4005 5950\n98209 100000\n16698 24949\n96900 100000\n98701 100000\n24788 37110\n80571 100000\n46626 69870\n38463 57621\n67583 100000\n24082 36040\n80510 100000\n18459 27592\n43461 65138\n29566 44210\n6212 9264\n21003 31406\n37911 56781\n43031 64488\n81190 100000\n61108 91637\n98900 100000\n99886 100000\n87522 100000\n49759 74591\n80329 100000\n34139 51072\n81382 100000\n86561 100000\n30807 46092\n9525 14208\n51086 76578\n38736 58024\n11335 16921\n16349 24434\n58159 87178\n1161 1734\n37471 56129\n27035 40454\n85804 100000\n26712 39987\n47088 70574\n71181 100000\n2535 3799\n34462 51565\n99228 100000\n48626 72873\n84774 100000\n28047 41947\n86946 100000\n71985 100000\n79329 100000\n15204 22713\n56822 85171\n92149 100000\n23262 34823\n32424 48512\n16549 24736\n20119 30071\n84270 100000\n73929 100000\n2749 4099\n69965 100000\n49624 74392\n57337 85930\n12047 18031\n69124 100000\n77241 100000\n2576 3859\n67988 100000\n39008 58420\n76409 100000\n45875 68728\n19598 29312\n16168 24169\n11791 17633\n2868 4281\n25635 38368\n58843 88209\n97247 100000\n4342 6457\n20425 30539\n25661 38407\n25379 37986\n81072 100000\n58389 87525\n36323 54388\n67477 100000\n84478 100000\n65176 97746\n37230 55758\n7978 11878\n55988 83912\n33365 49907\n81051 100000\n41410 62059\n53573 80310\n73260 100000\n55181 82703\n11486 17157\n1961 2936\n39988 59900\n13245 19804\n37851 56687\n98720 100000\n48668 72936\n54068 81049\n73938 100000\n89941 100000\n15276 22823\n6938 10342\n94602 100000\n27502 41142\n13200 19743\n24527 36726\n46110 69082\n24280 36338\n57328 85916\n67254 100000\n64381 96544\n48553 72765\n5011 7458\n33523 50144\n43430 65091\n87659 100000\n96135 100000\n28564 42707\n54635 81889\n69215 100000\n78081 100000\n76919 100000\n25648 38386\n84381 100000\n56892 85279\n16104 24078\n75602 100000\n35422 53000\n63942 95898\n13047 19511\n64481 96691\n546 818\n40680 60960\n83959 100000\n99893 100000\n19488 29143\n76286 100000\n87745 100000\n65510 98266\n24658 36917\n35174 52621\n56016 83953\n4689 6968\n99466 100000\n75817 100000\n90933 100000\n86330 100000\n33839 50616\n73919 100000\n42201 63239\n44554 66741\n25487 38148\n31973 47847\n54825 82178\n18510 27669\n17469 26112\n42177 63203\n33005 49368\n63276 94904\n63793 95669\n81202 100000\n1399 2092\n15173 22665\n2127 3186\n93813 100000\n23170 34679\n12550 18764\n99557 100000\n80391 100000\n76876 100000\n48516 72711\n75826 100000\n54511 81714\n47512 71212\n70017 100000\n50872 76256\n17846 26687\n62470 93687\n12268 18357\n36066 53993\n29751 44496\n33951 50789\n94705 100000\n21989 32899\n10727 16000\n99933 100000\n95354 100000\n53666 80451\n30597 45767\n70300 100000\n78897 100000\n57710 86504\n42706 63987\n86078 100000\n55862 83722\n25838 38674\n28606 42768\n97792 100000\n99747 100000\n68395 100000\n83810 100000\n17504 26161\n33817 50585\n25055 37504\n32138 48090\n94053 100000\n82544 100000\n48846 73200\n13120 19619\n44015 65961\n48642 72895\n66587 99876\n51544 77265\n9783 14596\n32831 49102\n49947 74878\n80804 100000\n25310 37882\n69626 100000\n33593 50248\n11336 16923\n78634 100000\n48723 73012\n78919 100000\n53100 79609\n92539 100000\n49240 73804\n34576 51730\n35898 53736\n7791 11608\n22017 32942\n38449 57599\n13023 19472\n1129 1691\n23663 35418\n55786 83599\n18940 28315\n45518 68189\n19513 29182\n18173 27165\n85394 100000\n28159 42118\n11366 16967\n17037 25457\n29335 43856\n48258 72329\n41256 61828\n45891 68752\n12852 19220\n16814 25120\n35041 52427\n52564 78793\n21856 32704\n29602 44267\n86183 100000\n18843 28173\n84953 100000\n25249 37792\n57533 86230\n11887 17782\n28170 42132\n10299 15367\n21330 31903\n85476 100000\n73924 100000\n45243 67780\n50549 75773\n80477 100000\n60463 90666\n27078 40520\n20057 29977\n13394 20024\n24561 36773\n14233 21264\n80145 100000\n48874 73245\n13875 20740\n65395 98088\n45794 68611\n97934 100000\n21080 31523\n78198 100000\n6953 10366\n11929 17842\n42574 63792\n84966 100000\n36812 55133\n50345 75470\n54127 81141\n34057 50941\n80328 100000\n81642 100000\n6300 9396\n6319 9423\n71046 100000\n94701 100000\n88824 100000\n8732 13011\n34465 51569\n15199 22707\n14663 21906\n25395 38010\n49568 74309\n19541 29223\n17201 25698\n30625 45813\n91053 100000\n45595 68305\n30505 45623\n25389 38000\n37083 55537\n28447 42549\n69357 100000\n34276 51282\n41062 61546\n27287 40827\n76231 100000\n7618 11360\n30976 46348\n21958 32852\n23922 35802\n2513 3765\n2450 3666\n47549 71271\n70436 100000\n73237 100000\n86965 100000\n19908 29763\n18095 27050\n55814 83645\n59260 88828\n78204 100000\n37884 56738\n64568 96823\n50335 75455\n30964 46331\n79824 100000\n75973 100000\n41405 62050\n52878 79282\n66321 99480\n34820 52090\n77574 100000\n74000 100000\n19249 28788\n47601 71345\n16770 25058\n81879 100000\n1992 2987\n29913 44741\n71373 100000\n39596 59320\n34899 52209\n55701 83469\n97857 100000\n88575 100000\n52593 78835\n92555 100000\n87544 100000\n55704 83474\n88105 100000\n95226 100000\n73386 100000\n77564 100000\n26337 39429\n75754 100000\n84406 100000\n66116 99172\n87589 100000\n79035 100000\n24193 36212\n28811 43081\n12257 18342\n96849 100000\n17178 25666\n22994 34428\n40037 59979\n40641 60897\n92561 100000\n15895 23764\n21454 32089\n22332 33423\n22028 32958\n1844 2757\n25982 38890\n80235 100000\n19135 28613\n3353 4982\n34843 52123\n30275 45282\n35206 52674\n88305 100000\n74408 100000\n3849 5718\n24112 36083\n78061 100000\n91706 100000\n46887 70267\n75252 100000\n86332 100000\n6030 8985\n5319 7919\n58521 87726\n1009 1511\n51108 76608\n27475 41101\n76705 100000\n49726 74542\n86901 100000\n92310 100000\n19282 28836\n7419 11067\n76814 100000\n79725 100000\n21995 32908\n21550 32238\n7626 11372\n90723 100000\n83487 100000\n25976 38882\n97715 100000\n57681 86458\n94687 100000\n29424 43994\n18918 28285\n38793 58107\n64167 96224\n88360 100000\n15152 22637\n4625 6873\n27827 41623\n13076 19556\n90679 100000\n89820 100000\n97768 100000\n46581 69797\n87167 100000\n99230 100000\n24814 37148\n68107 100000\n79674 100000\n63235 94841\n91224 100000\n97160 100000\n87297 100000\n17029 25444\n89948 100000\n31139 46579\n86423 100000\n95056 100000\n11951 17876\n19774 29573\n79633 100000\n61428 92138\n42129 63131\n13218 19766\n48893 73277\n11440 17079\n53303 79911\n67389 100000\n77744 100000\n15883 23748\n86729 100000\n50204 75254\n9703 14475\n95726 100000\n10958 16353\n45107 67571\n6657 9912\n7558 11268\n94816 100000\n55907 83790\n44298 66370\n46716 70007\n82733 100000\n81571 100000\n50800 76151\n58870 88246\n31202 46675\n64593 96858\n67545 100000\n89420 100000\n79820 100000\n59858 89740\n15356 22941\n8602 12818\n55274 82842\n70711 100000\n65805 98702\n16859 25188\n28568 42714\n98868 100000\n51610 77363\n88418 100000\n9926 14817\n25285 37843\n16538 24720\n58724 88024\n59665 89444\n20975 31362\n7253 10816\n87685 100000\n88837 100000\n44099 66087\n54106 81105\n55984 83907\n17003 25405\n36193 54195\n52941 79381\n20037 29949\n27947 41795\n13860 20714\n62116 93174\n76258 100000\n92388 100000\n92564 100000\n41292 61878\n74996 100000\n2482 3716\n17916 26786\n76541 100000\n39967 59871\n92697 100000\n82405 100000\n79601 100000\n72172 100000\n31541 47197\n65601 98401\n62822 94218\n39658 59406\n15743 23533\n57562 86270\n19225 28747\n57125 85617\n68580 100000\n4236 6300\n97146 100000\n47403 71047\n44418 66542\n31746 47504\n41659 62424\n90587 100000\n89897 100000\n63988 95967\n28484 42596\n67775 100000\n85643 100000\n49369 74003\n80851 100000\n93948 100000\n6238 9304\n83759 100000\n18335 27413\n87569 100000\n75318 100000\n57938 86847\n32547 48684\n33970 50816\n27528 41179\n67419 100000\n56200 84231\n72755 100000\n81413 100000\n63537 95283\n74127 100000\n85406 100000\n66845 100000\n36359 54445\n78142 100000\n78421 100000\n66931 100000\n10015 14952\n11389 16998\n62234 93353\n22545 33742\n12011 17971\n99064 100000\n86229 100000\n64653 96951\n95088 100000\n46264 69314\n28150 42104\n66201 99298\n1520 2265\n58429 87584\n91739 100000\n97568 100000\n43841 65705\n83807 100000\n28020 41905\n17674 26421\n34836 52113\n93938 100000\n25933 38813\n57 84\n1193 1783\n40972 61410\n88728 100000\n5366 7992\n84393 100000\n8711 12978\n58048 87011\n19594 29306\n69001 100000\n23399 35023\n43240 64789\n5193 7737\n48147 72169\n56749 85062\n77393 100000\n35088 52494\n46348 69440\n7991 11896\n87699 100000\n20238 30240\n50838 76207\n3520 5229\n91491 100000\n65080 97592\n5201 7750\n35741 53493\n33482 50084\n9487 14149\n19252 28793\n86296 100000\n25960 38857\n63056 94570\n13379 20002\n47634 71390\n12627 18881\n2534 3797\n10849 16185\n54509 81711\n27978 41840\n79666 100000\n4596 6834\n50573 75801\n99648 100000\n70386 100000\n12031 18002\n99074 100000\n26875 40221\n85180 100000\n32575 48724\n4501 6695\n41688 62464\n40761 61088\n34368 51425\n89251 100000\n4881 7257\n71024 100000\n24299 36369\n57918 86817\n20179 30155\n28453 42557\n64353 96502\n99553 100000\n19262 28806\n95217 100000\n69149 100000\n42863 64224\n89170 100000\n31146 46590\n97927 100000\n42542 63747\n90983 100000\n99364 100000\n87812 100000\n63138 94695\n14106 21078\n71511 100000\n78740 100000\n73304 100000\n85400 100000\n14131 21115\n35976 53850\n60942 91393\n64962 97413\n84441 100000\n68606 100000\n23655 35406\n38414 57542\n17493 26145\n7289 10869\n48304 72393\n40269 60326\n17987 26890\n27756 41515\n46944 70354\n64767 97121\n65824 98727\n72166 100000\n64415 96598\n22227 33258\n12361 18485\n11769 17599\n86646 100000\n77148 100000\n12792 19132\n43094 64577\n72236 100000\n67862 100000\n3298 4909\n47056 70524\n85858 100000\n97465 100000\n5279 7861\n41312 61905\n19294 28851\n53249 79833\n66954 100000\n24222 36256\n74673 100000\n97752 100000\n54818 82168\n71591 100000\n79451 100000\n57349 85948\n99995 100000\n64879 97289\n49659 74442\n91864 100000\n49598 74354\n60222 90298\n57813 86653\n26864 40203\n7401 11040\n47067 70543\n15405 23017\n95042 100000\n30643 45839\n84643 100000\n23519 35203\n4554 6769\n93148 100000\n6348 9465\n63678 95486\n77655 100000\n35295 52804\n35755 53514\n25141 37629\n7656 11415\n39592 59313\n90671 100000\n49808 74666\n44288 66356\n95693 100000\n42156 63171\n58365 87488\n83326 100000\n1834 2742\n86500 100000\n25348 37941\n73595 100000\n38832 58163\n83402 100000\n98765 100000\n90963 100000\n82868 100000\n31751 47512\n5923 8825\n13663 20419\n171 252\n19273 28822\n26228 39260\n77954 100000\n79118 100000\n28909 43219\n963 1441\n59698 89496\n19447 29079\n87619 100000\n83816 100000\n98971 100000\n43434 65095\n45296 67862\n25651 38391\n53680 80473\n28572 42719\n36935 55309\n45806 68626\n81028 100000\n21083 31528\n52150 78167\n90514 100000\n61111 91642\n4205 6254\n9644 14384\n35827 53625\n26860 40198\n76603 100000\n9719 14502\n14961 22360\n15566 23267\n17722 26492\n98319 100000\n85609 100000\n41981 62912\n14032 20972\n95064 100000\n95164 100000\n20019 29923\n78766 100000\n60697 91027\n38876 58229\n87217 100000\n60680 91000\n14340 21422\n77043 100000\n3114 4639\n48228 72282\n15696 23463\n24296 36365\n22530 33719\n86255 100000\n35539 53192\n78355 100000\n46085 69045\n68945 100000\n23006 34445\n96128 100000\n30695 45915\n87935 100000\n13075 19554\n8185 12182\n32319 48362\n87840 100000\n57842 86696\n91614 100000\n83988 100000\n10956 16350\n69307 100000\n99838 100000\n97217 100000\n80830 100000\n97062 100000\n93217 100000\n68543 100000\n16855 25183\n78389 100000\n19872 29716\n68429 100000\n85916 100000\n15737 23523\n69945 100000\n13061 19533\n30595 45763\n91368 100000\n19023 28445\n15179 22675\n4998 7437\n77472 100000\n87149 100000\n86563 100000\n85022 100000\n39506 59191\n6342 9457\n11416 17040\n18117 27082\n18680 27928\n6272 9354\n25568 38269\n17647 26374\n61909 92866\n52811 79180\n73245 100000\n96198 100000\n1999 2996\n66508 99756\n33509 50125\n91200 100000\n36275 54320\n98375 100000\n33569 50212\n12228 18292\n94177 100000\n4903 7291\n53835 80709\n89215 100000\n61328 91986\n48404 72546\n50246 75318\n49250 73820\n10943 16328\n20556 30733\n16548 24735\n76157 100000\n20409 30515\n68708 100000\n36319 54383\n80593 100000\n72937 100000\n26276 39333\n68341 100000\n41101 61602\n95092 100000\n24081 36039\n62727 94075\n24230 36268\n98177 100000\n51612 77366\n96874 100000\n51252 76831\n31606 47292\n53174 79715\n65404 98104\n67027 100000\n57925 86826\n67341 100000\n62221 93331\n1333 1994\n20335 30399\n20555 30732\n21747 32529\n17602 26307\n57545 86246\n92944 100000\n90311 100000\n7591 11318\n39144 58633\n39307 58878\n41966 62891\n36020 53918\n79520 100000\n99035 100000\n11589 17318\n60930 91372\n56266 84328\n17813 26633\n36746 55034\n77545 100000\n44456 66599\n72196 100000\n68607 100000\n67159 100000\n16516 24686\n36674 54926\n14148 21139\n33027 49402\n83957 100000\n18445 27571\n77219 100000\n27326 40886\n27218 40732\n26441 39584\n82200 100000\n79291 100000\n2011 3013\n67470 100000\n50515 75720\n55230 82776\n80542 100000\n39697 59466\n90530 100000\n71456 100000\n31502 47138\n95442 100000\n37620 56350\n59834 89706\n28427 42520\n4876 7249\n68382 100000\n97283 100000\n75905 100000\n69252 100000\n35853 53665\n16874 25211\n56078 84039\n45096 67552\n45950 68838\n30091 45007\n75278 100000\n69838 100000\n2275 3403\n80384 100000\n39903 59772\n89704 100000\n93165 100000\n51717 77526\n10819 16139\n9839 14689\n74970 100000\n34609 51778\n69548 100000\n50985 76430\n43547 65264\n21903 32774\n82447 100000\n83632 100000\n4969 7393\n54928 82329\n4961 7381\n44527 66702\n19466 29110\n9936 14831\n48889 73270\n25605 38324\n55703 83472\n43863 65736\n94176 100000\n58055 87023\n1412 2113\n77309 100000\n98452 100000\n61344 92012\n93925 100000\n96757 100000\n26872 40215\n92058 100000\n34034 50913\n6244 9312\n57792 86621\n84657 100000\n46988 70421\n6906 10298\n28253 42259\n23768 35567\n57088 85565\n47913 71818\n33421 49990\n41314 61908\n11295 16862\n30441 45528\n69436 100000\n7178 10706\n5598 8334\n13266 19835\n71565 100000\n46060 69012\n41142 61663\n46143 69137\n85850 100000\n88739 100000\n88733 100000\n38080 57037\n165 244\n99142 100000\n50580 75812\n1473 2200\n14972 22374\n42544 63750\n36494 54643\n98590 100000\n58123 87122\n88093 100000\n89248 100000\n32055 47966\n29727 44460\n47870 71752\n77454 100000\n31436 47040\n60278 90383\n42637 63886\n94454 100000\n20611 30820\n70995 100000\n51691 77486\n73232 100000\n14646 21882\n51795 77640\n1501 2240\n76060 100000\n42659 63916\n54841 82203\n7030 10480\n57814 86655\n14422 21540\n37167 55666\n39136 58620\n17898 26762\n31723 47472\n32786 49035\n82092 100000\n15484 23140\n49084 73567\n45406 68023\n31431 47031\n78669 100000\n47008 70452\n16240 24283\n22856 34217\n89261 100000\n17719 26488\n8113 12073\n24578 36798\n62501 93739\n53450 80126\n40492 60661\n66811 100000\n39173 58675\n4089 6068\n62289 93430\n28115 42051\n87904 100000\n98261 100000\n10064 15024\n71736 100000\n28576 42724\n75858 100000\n82913 100000\n9960 14867\n4327 6434\n42011 62954\n97449 100000\n63457 95168\n13851 20702\n6108 9103\n95170 100000\n63548 95299\n95024 100000\n21004 31408\n24233 36271\n34583 51742\n26359 39463\n63980 95954\n71622 100000\n46843 70201\n8358 12441\n34020 50892\n35906 53748\n99772 100000\n39499 59179\n88817 100000\n56739 85047\n78235 100000\n65413 98118\n17401 26008\n83323 100000\n99132 100000\n38319 57391\n72410 100000\n72518 100000\n35379 52934\n23757 35549\n64721 97052\n61839 92753\n47370 71002\n94417 100000\n69867 100000\n59879 89767\n9576 14288\n97290 100000\n83229 100000\n10087 15056\n21612 32327\n37130 55606\n90761 100000\n46250 69293\n24727 37015\n40840 61214\n42481 63655\n6217 9271\n78918 100000\n95425 100000\n34052 50935\n97952 100000\n72174 100000\n80645 100000\n19877 29723\n31991 47874\n78133 100000\n29201 43655\n25483 38141\n22306 33382\n5045 7514\n98445 100000\n17015 25422\n40256 60307\n47569 71297\n61299 91937\n43716 65515\n60318 90447\n51040 76513\n65214 97802\n34015 50884\n49094 73582\n90542 100000\n20308 30357\n85278 100000\n9713 14492\n11478 17144\n20310 30361\n10471 15634\n67220 100000\n23585 35301\n49684 74483\n58058 87028\n20100 30042\n90418 100000\n22820 34159\n18397 27501\n99337 100000\n27308 40858\n14737 22019\n7381 11007\n70811 100000\n77251 100000\n39160 58656\n55346 82950\n69751 100000\n8287 12332\n71038 100000\n20446 30570\n56574 84800\n25868 38717\n83753 100000\n57770 86589\n58906 88295\n74341 100000\n41291 61877\n26827 40154\n17562 26248\n78360 100000\n14508 21674\n34235 51216\n12408 18558\n49025 73473\n78368 100000\n69984 100000\n24998 37417\n55066 82532\n55335 82933\n86745 100000\n35344 52877\n49526 74243\n77893 100000\n38938 58312\n51613 77367\n88088 100000\n86166 100000\n93340 100000\n59991 89938\n4254 6327\n14546 21728\n56063 84018\n62503 93742\n44634 66855\n74353 100000\n75403 100000\n75267 100000\n82842 100000\n63413 95101\n89720 100000\n48373 72497\n47583 71320\n50703 75999\n17970 26862\n38347 57438\n10846 16181\n26157 39158\n38166 57158\n79936 100000\n53521 80230\n79707 100000\n15049 22485\n57837 86689\n33907 50723\n44774 67063\n8554 12749\n24197 36218\n53613 80371\n17351 25932\n95812 100000\n90345 100000\n57634 86386\n58829 88190\n45847 68685\n26611 39839\n88516 100000\n9419 14047\n42013 62958\n67237 100000\n17053 25480\n97338 100000\n12189 18235\n52022 77975\n26011 38932\n48173 72206\n20818 31131\n58213 87258\n10163 15163\n70981 100000\n39883 59745\n34588 51751\n61843 92760\n25786 38598\n48980 73407\n80690 100000\n95825 100000\n92199 100000\n76803 100000\n37165 55662\n67539 100000\n54285 81378\n88008 100000\n56584 84811\n7117 10610\n58422 87574\n31313 46847\n22483 33648\n50372 75511\n42557 63769\n25636 38369\n1765 2634\n21130 31599\n47323 70930\n76473 100000\n81778 100000\n23521 35207\n34236 51218\n35208 52678\n29989 44856\n62634 93937\n18948 28327\n93715 100000\n15936 23832\n16077 24040\n67418 100000\n45191 67697\n222 333\n63629 95413\n11591 17322\n9673 14428\n53984 80926\n9533 14221\n51646 77415\n93874 100000\n75232 100000\n43634 65396\n72326 100000\n39531 59232\n28044 41943\n98009 100000\n90984 100000\n32241 48245\n90596 100000\n19527 29204\n15914 23796\n89514 100000\n31435 47038\n86892 100000\n52581 78819\n34648 51834\n30087 45001\n64066 96076\n16658 24890\n21591 32295\n76925 100000\n11278 16837\n21481 32129\n75220 100000\n29302 43807\n47903 71800\n4614 6857\n18561 27746\n20137 30095\n38413 57540\n1370 2047\n36678 54933\n346 510\n52627 78887\n78752 100000\n7081 10556\n48123 72134\n87316 100000\n83249 100000\n16774 25063\n85076 100000\n2381 3566\n11643 17405\n85460 100000\n78755 100000\n60819 91210\n61080 91601\n63778 95644\n61826 92734\n43060 64529\n5434 8098\n27784 41556\n93140 100000\n9271 13821\n66444 99662\n15734 23518\n70458 100000\n41841 62699\n14043 20986\n68129 100000\n51810 77665\n22261 33311\n24438 36585\n9332 13914\n77392 100000\n72590 100000\n76824 100000\n44530 66707\n43214 64747\n72489 100000\n952 1423\n25992 38905\n36518 54682\n929 1393\n87012 100000\n6074 9053\n83354 100000\n98647 100000\n17352 25933\n43548 65265\n70181 100000\n5894 8781\n63902 95837\n23779 35583\n24984 37396\n64718 97046\n57844 86699\n41177 61722\n12366 18492\n21444 32072\n78798 100000\n4514 6715\n95610 100000\n78563 100000\n856 1282\n54066 81046\n1747 2605\n50322 75432\n22846 34202\n55191 82717\n52639 78906\n58231 87283\n27519 41167\n57090 85568\n34734 51963\n69487 100000\n83177 100000\n33052 49442\n3902 5796\n3880 5763\n56224 84269\n72705 100000\n13969 20877\n50070 75063\n62248 93373\n82318 100000\n25121 37602\n80229 100000\n80344 100000\n14225 21253\n22611 33841\n40369 60477\n37445 56085\n72989 100000\n17851 26696\n75439 100000\n86810 100000\n75221 100000\n75534 100000\n36065 53991\n92596 100000\n704 1053\n59458 89122\n40249 60296\n29088 43490\n56350 84457\n57932 86838\n39711 59489\n87179 100000\n35135 52566\n27855 41662\n58753 88069\n39775 59582\n14738 22020\n88561 100000\n97764 100000\n86668 100000\n19340 28925\n29518 44137\n58900 88287\n67459 100000\n31595 47277\n89260 100000\n13976 20887\n79159 100000\n81508 100000\n87975 100000\n92226 100000\n30153 45099\n8980 13392\n20034 29945\n75150 100000\n99945 100000\n30830 46129\n12537 18744\n85337 100000\n42237 63293\n99199 100000\n15218 22736\n20234 30234\n73734 100000\n92299 100000\n75180 100000\n11247 16788\n34763 52002\n62386 93568\n23448 35095\n91751 100000\n22559 33764\n3627 5389\n79853 100000\n86725 100000\n49297 73887\n29442 44020\n52396 78536\n94030 100000\n7325 10926\n37783 56589\n38783 58090\n26513 39686\n95385 100000\n93926 100000\n73693 100000\n73340 100000\n18179 27173\n57091 85570\n85189 100000\n90154 100000\n24503 36684\n80788 100000\n97590 100000\n53481 80170\n97895 100000\n40838 61211\n34041 50921\n27953 41804\n94514 100000\n79792 100000\n27811 41596\n71265 100000\n68268 100000\n81131 100000\n39851 59698\n24745 37045\n46758 70068\n29479 44074\n29408 43968\n95767 100000\n22481 33644\n70673 100000\n26913 40279\n10919 16292\n29216 43681\n65776 98660\n44245 66296\n29032 43407\n78775 100000\n1344 2009\n44714 66977\n32559 48701\n65981 98968\n59861 89744\n58872 88250\n97270 100000\n40123 60106\n43015 64460\n15861 23713\n84485 100000\n17922 26795\n46194 69208\n96391 100000\n44386 66497\n68575 100000\n54253 81327\n67664 100000\n80549 100000\n95130 100000\n41175 61718\n6783 10102\n76908 100000\n77236 100000\n77315 100000\n48948 73361\n37237 55769\n70205 100000\n42003 62946\n62066 93101\n58143 87154\n69794 100000\n11188 16697\n10610 15832\n10058 15016\n12561 18780\n69374 100000\n91444 100000\n37856 56694\n78446 100000\n52912 79334\n53681 80475\n4285 6375\n59414 89057\n83869 100000\n9121 13601\n10108 15089\n85218 100000\n79310 100000\n42775 64089\n63584 95349\n46751 70060\n96419 100000\n59080 88555\n40540 60741\n88382 100000\n69408 100000\n87271 100000\n21304 31864\n33642 50320\n92957 100000\n83330 100000\n94932 100000\n26746 40037\n45898 68760\n83361 100000\n77765 100000\n22228 33260\n27664 41380\n55138 82636\n43578 65310\n29631 44313\n47620 71373\n67050 100000\n32506 48630\n60999 91476\n56635 84888\n6137 9151\n36367 54457\n89761 100000\n11433 17067\n31628 47323\n90371 100000\n63020 94515\n37243 55778\n34585 51746\n31843 47650\n4141 6156\n77527 100000\n34631 51811\n49009 73447\n82480 100000\n58516 87718\n17052 25479\n18429 27546\n742 1108\n18889 28242\n60481 90696\n71823 100000\n13893 20765\n33057 49450\n443 661\n48249 72315\n9266 13814\n68264 100000\n42452 63617\n17102 25555\n75481 100000\n27415 41017\n39857 59706\n67770 100000\n21339 31918\n19690 29444\n7056 10517\n93986 100000\n97767 100000\n80187 100000\n73948 100000\n79555 100000\n993 1485\n55124 82614\n87928 100000\n43665 65438\n16113 24091\n48625 72872\n675 1011\n34707 51927\n95563 100000\n22115 33091\n69857 100000\n44860 67189\n63484 95206\n67817 100000\n2376 3558\n95840 100000\n1498 2236\n87814 100000\n9490 14155\n67829 100000\n85219 100000\n76382 100000\n52080 78064\n99530 100000\n50848 76220\n21409 32019\n38421 57553\n53698 80500\n73989 100000\n7301 10889\n70920 100000\n66581 99868\n1846 2759\n83126 100000\n62922 94369\n10663 15905\n3752 5579\n57995 86928\n38151 57141\n38821 58147\n17200 25696\n23463 35118\n66365 99545\n80650 100000\n17354 25936\n92190 100000\n6303 9400\n64715 97041\n59075 88548\n69454 100000\n6948 10357\n83802 100000\n1671 2491\n64371 96529\n53320 79937\n21222 31738\n7645 11402\n7138 10645\n76349 100000\n711 1062\n80140 100000\n22711 33992\n82706 100000\n86027 100000\n38625 57856\n86676 100000\n61763 92644\n78838 100000\n72341 100000\n80622 100000\n73959 100000\n33814 50580\n54174 81212\n78210 100000\n7972 11870\n80276 100000\n59200 88732\n5958 8876\n44191 66224\n88017 100000\n74846 100000\n61457 92178\n44794 67091\n11226 16759\n40829 61198\n59894 89787\n74161 100000\n19216 28731\n5817 8662\n23098 34574\n76017 100000\n46263 69312\n26481 39644\n38397 57516\n74905 100000\n3817 5671\n74209 100000\n37136 55616\n22516 33698\n42309 63397\n29432 44005\n48107 72108\n38762 58062\n8047 11974\n97374 100000\n8576 12782\n92624 100000\n47318 70923\n71972 100000\n63944 95902\n6356 9476\n20395 30494\n40582 60811\n39007 58419\n64844 97240\n46029 68966\n18310 27371\n71939 100000\n46606 69839\n71758 100000\n58743 88052\n39546 59250\n93989 100000\n37804 56616\n91272 100000\n83215 100000\n11106 16573\n49400 74052\n3468 5152\n72654 100000\n78610 100000\n41393 62030\n53517 80223\n60189 90245\n70381 100000\n36291 54343\n97248 100000\n53815 80676\n37113 55582\n68199 100000\n28666 42860\n7541 11245\n16008 23937\n97029 100000\n97673 100000\n95431 100000\n21508 32169\n22499 33674\n19599 29314\n71436 100000\n66746 100000\n30757 46015\n91546 100000\n86992 100000\n92168 100000\n34490 51607\n77555 100000\n63644 95432\n38560 57761\n293 430\n71542 100000\n22485 33652\n6132 9141\n26155 39154\n33485 50088\n12525 18726\n32773 49015\n27025 40441\n32775 49018\n99144 100000\n70668 100000\n35661 53366\n57924 86825\n47990 71931\n40079 60037\n93373 100000\n67069 100000\n98782 100000\n13084 19567\n42673 63940\n15820 23654\n55669 83423\n21486 32137\n94342 100000\n1494 2230\n79473 100000\n39456 59115\n64487 96700\n2900 4329\n39714 59492\n74192 100000\n37288 55846\n49972 74917\n58308 87406\n31136 46575\n12551 18765\n24089 36050\n2605 3900\n29444 44022\n76728 100000\n33673 50369\n91405 100000\n71685 100000\n8767 13063\n58600 87838\n12182 18224\n91291 100000\n16096 24069\n21436 32060\n45752 68546\n79705 100000\n83512 100000\n44391 66502\n59139 88638\n31302 46832\n15555 23251\n98616 100000\n32313 48354\n15929 23822\n61623 92430\n84524 100000\n91475 100000\n57756 86569\n98143 100000\n68481 100000\n95093 100000\n71809 100000\n31377 46947\n21777 32572\n24743 37042\n38306 57370\n33624 50294\n37754 56546\n82402 100000\n29402 43958\n4601 6840\n76974 100000\n52937 79374\n81013 100000\n60572 90835\n88775 100000\n30138 45079\n75175 100000\n35120 52542\n66440 99656\n40566 60786\n53991 80937\n31168 46624\n45177 67676\n43711 65509\n18746 28029\n23836 35673\n68202 100000\n90660 100000\n85942 100000\n28896 43202\n24772 37085\n88690 100000\n29182 43629\n78702 100000\n88166 100000\n97671 100000\n7422 11070\n68719 100000\n3915 5813\n17864 26716\n4455 6627\n72866 100000\n56875 85254\n89064 100000\n10959 16354\n74856 100000\n6035 8994\n82767 100000\n84609 100000\n46849 70210\n48271 72350\n36419 54532\n11279 16839\n89931 100000\n12544 18755\n18890 28244\n31523 47169\n92394 100000\n57772 86593\n47572 71303\n14407 21522\n75098 100000\n10650 15886\n42303 63388\n56491 84674\n58236 87291\n741 1106\n56965 85381\n62215 93321\n6686 9954\n30215 45194\n19915 29775\n18427 27543\n65498 98248\n83213 100000\n3038 4528\n5919 8818\n7290 10871\n33651 50334\n25663 38410\n64456 96659\n871 1305\n57475 86143\n84062 100000\n46699 69981\n35318 52834\n55105 82588\n60907 91338\n39951 59844\n19505 29168\n12862 19235\n59082 88559\n31028 46420\n64624 96906\n55648 83393\n14441 21570\n11637 17393\n3421 5082\n25338 37926\n66272 99403\n19319 28889\n47089 70575\n80036 100000\n55884 83754\n77369 100000\n95756 100000\n55515 83205\n60501 90725\n83498 100000\n331 485\n9890 14763\n29890 44705\n18448 27576\n10037 14985\n49672 74463\n45065 67499\n97702 100000\n42993 64426\n99363 100000\n47935 71853\n25317 37891\n21667 32412\n68374 100000\n60154 90192\n85716 100000\n48016 71968\n43134 64636\n94898 100000\n62813 94206\n55224 82766\n99333 100000\n96986 100000\n9696 14464\n83430 100000\n70560 100000\n5259 7832\n11350 16944\n40222 60255\n83110 100000\n59259 88826\n56388 84516\n63796 95672\n91685 100000\n5967 8886\n85051 100000\n5481 8168\n39175 58678\n75397 100000\n72650 100000\n12593 18830\n76773 100000\n27844 41646\n56833 85189\n16410 24524\n480 716\n21977 32881\n46540 69734\n68725 100000\n78465 100000\n63612 95389\n50566 75794\n16572 24766\n6323 9429\n47884 71773\n24857 37208\n69254 100000\n3884 5770\n89845 100000\n76131 100000\n16461 24602\n9226 13753\n1157 1728\n48783 73107\n30940 46298\n3470 5155\n18774 28068\n14249 21287\n51292 76891\n21840 32676\n64734 97070\n32334 48383\n78216 100000\n50301 75400\n21401 32007\n67472 100000\n99358 100000\n59038 88495\n4741 7046\n58568 87790\n33929 50757\n22816 34152\n16148 24144\n26317 39395\n59155 88665\n52429 78590\n76927 100000\n72500 100000\n12412 18563\n89898 100000\n40149 60144\n35651 53353\n19705 29464\n54041 81006\n46324 69406\n11098 16561\n78514 100000\n39912 59787\n38519 57702\n71199 100000\n22338 33433\n24602 36834\n9149 13642\n22964 34383\n6630 9874\n18581 27774\n72548 100000\n90111 100000\n25116 37596\n19386 28994\n82383 100000\n19704 29462\n58394 87533\n49674 74466\n41641 62396\n28088 42011\n80541 100000\n88436 100000\n93076 100000\n86525 100000\n59600 89344\n50296 75394\n7061 10524\n49717 74529\n72933 100000\n97853 100000\n7649 11408\n44667 66907\n42450 63613\n33036 49416\n53900 80802\n59507 89199\n77278 100000\n25108 37583\n64009 95995\n19697 29452\n10535 15722\n99172 100000\n68435 100000\n90745 100000\n79865 100000\n39003 58415\n5106 7604\n16415 24531\n82454 100000\n8752 13038\n64829 97217\n53720 80533\n83310 100000\n14500 21663\n70226 100000\n89118 100000\n51712 77519\n48899 73286\n64288 96403\n25735 38516\n4543 6755\n48282 72365\n19218 28735\n92350 100000\n2561 3839\n25718 38493\n75584 100000\n79687 100000\n73324 100000\n90819 100000\n39181 58688\n60882 91300\n67065 100000\n11194 16706\n89300 100000\n39716 59495\n15184 22683\n78808 100000\n33130 49564\n3781 5620\n24604 36837\n63041 94549\n32076 47996\n99544 100000\n40944 61368\n61548 92315\n6478 9656\n31244 46740\n35232 52713\n48076 72062\n55168 82681\n17640 26362\n31962 47830\n91995 100000\n40635 60887\n58626 87878\n11699 17494\n71336 100000\n35795 53575\n85397 100000\n61191 91763\n67551 100000\n83324 100000\n43729 65535\n35247 52734\n88448 100000\n66323 99483\n79590 100000\n99217 100000\n3165 4716\n87632 100000\n34173 51121\n29713 44441\n29384 43931\n71300 100000\n14507 21672\n50170 75204\n14204 21219\n44236 66286\n58925 88321\n77754 100000\n87239 100000\n94560 100000\n99643 100000\n58956 88373\n27053 40480\n95600 100000\n6798 10125\n94149 100000\n51025 76488\n81535 100000\n87410 100000\n70266 100000\n12784 19119\n65829 98734\n39447 59102\n82674 100000\n34692 51902\n89558 100000\n33692 50397\n75348 100000\n84247 100000\n10042 14992\n58112 87106\n57992 86922\n26837 40167\n20578 30768\n52577 78812\n4795 7128\n60828 91225\n47728 71529\n20642 30869\n71937 100000\n76750 100000\n18656 27887\n91838 100000\n9120 13599\n11232 16767\n43111 64600\n28199 42175\n89636 100000\n74872 100000\n19015 28434\n43826 65682\n21979 32883\n69308 100000\n36262 54298\n4613 6855\n31348 46904\n74357 100000\n24214 36246\n75349 100000\n12749 19067\n94018 100000\n38303 57366\n66408 99610\n28780 43033\n92127 100000\n8170 12160\n70009 100000\n59762 89594\n82329 100000\n30312 45335\n65860 98781\n65542 98313\n82757 100000\n16550 24737\n3039 4529\n16473 24622\n36840 55179\n69457 100000\n22466 33624\n51706 77510\n55882 83751\n83895 100000\n94276 100000\n5856 8721\n32992 49345\n71863 100000\n21835 32667\n97001 100000\n31613 47303\n51979 77919\n23335 34931\n73471 100000\n79069 100000\n47098 70589\n25662 38408\n27304 40851\n40172 60175\n42115 63112\n72591 100000\n98436 100000\n93853 100000\n33166 49614\n83911 100000\n98190 100000\n46321 69402\n39738 59527\n18672 27915\n83209 100000\n58021 86967\n86257 100000\n17990 26894\n61423 92130\n42927 64328\n47827 71686\n32414 48497\n36551 54733\n10172 15175\n99620 100000\n71358 100000\n25036 37477\n77461 100000\n16335 24415\n31459 47072\n32499 48622\n10148 15141\n13988 20906\n35390 52950\n59126 88620\n3482 5172\n34679 51881\n1369 2046\n6194 9241\n29924 44758\n93910 100000\n3881 5764\n66871 100000\n6793 10118\n58136 87144\n29116 43527\n54454 81626\n66049 99069\n86617 100000\n7908 11778\n84495 100000\n40967 61403\n72100 100000\n99939 100000\n29458 44044\n6174 9211\n81702 100000\n2112 3167\n32554 48694\n49618 74385\n78593 100000\n11646 17410\n65369 98051\n73211 100000\n51765 77596\n28018 41903\n54607 81851\n47203 70753\n72727 100000\n96632 100000\n2148 3216\n44268 66329\n40266 60321\n28082 42000\n868 1301\n38714 57987\n36909 55275\n60495 90715\n25135 37621\n43728 65533\n74715 100000\n95181 100000\n64271 96378\n1749 2608\n92464 100000\n61808 92710\n57470 86135\n78656 100000\n75102 100000\n4671 6945\n39683 59443\n21610 32323\n50975 76416\n24764 37071\n27849 41652\n91166 100000\n94779 100000\n57585 86307\n39305 58875\n75916 100000\n19448 29081\n96629 100000\n28995 43349\n51398 77052\n71649 100000\n79569 100000\n1551 2314\n90325 100000\n79884 100000\n82048 100000\n47393 71033\n46494 69671\n3818 5673\n48986 73415\n67004 100000\n53994 80943\n6066 9040\n99490 100000\n56839 85197\n22289 33355\n62431 93634\n88098 100000\n61627 92434\n58137 87146\n51907 77807\n5375 8007\n18359 27445\n16062 24016\n9514 14191\n69976 100000\n57775 86598\n27845 41648\n12858 19229\n91421 100000\n96527 100000\n26658 39910\n9562 14269\n14619 21838\n59490 89172\n26751 40044\n92406 100000\n59239 88791\n838 1256\n9159 13657\n44196 66231\n45958 68850\n53962 80895\n97134 100000\n78852 100000\n59133 88630\n95854 100000\n38654 57897\n61679 92519\n45530 68208\n17899 26763\n59662 89441\n38705 57976\n51876 77758\n60768 91134\n80552 100000\n79061 100000\n21456 32092\n69957 100000\n46940 70346\n17066 25497\n31338 46887\n16147 24142\n75203 100000\n57689 86470\n43986 65918\n60998 91474\n25142 37630\n82182 100000\n39315 58892\n35623 53315\n41844 62702\n82610 100000\n70135 100000\n94709 100000\n89259 100000\n3837 5700\n53062 79556\n16469 24615\n52069 78047\n26030 38957\n80531 100000\n50919 76329\n20889 31237\n5527 8235\n52307 78405\n19667 29409\n31803 47590\n14264 21310\n1768 2638\n59681 89468\n63966 95932\n30315 45339\n77946 100000\n72169 100000\n36309 54368\n29427 43998\n16162 24161\n19456 29094\n88917 100000\n88647 100000\n64562 96813\n27737 41488\n26345 39439\n22265 33317\n6467 9638\n83881 100000\n48412 72555\n23636 35377\n15497 23160\n68630 100000\n4848 7209\n52533 78744\n41392 62029\n75687 100000\n46510 69694\n11971 17908\n47930 71844\n23116 34602\n77157 100000\n74730 100000\n20626 30844\n91231 100000\n50632 75884\n46583 69801\n1239 1853\n43420 65075\n70557 100000\n89599 100000\n13858 20712\n74292 100000\n4782 7109\n52728 79047\n70079 100000\n47190 70734\n18170 27161\n74892 100000\n88804 100000\n75094 100000\n10173 15176\n52315 78417\n64226 96311\n53618 80378\n3175 4730\n45319 67896\n85538 100000\n36731 55011\n43200 64724\n30726 45967\n22752 34051\n84186 100000\n13361 19977\n76291 100000\n86971 100000\n47227 70788\n12947 19359\n39689 59453\n44412 66533\n45973 68873\n88766 100000\n23995 35912\n56741 85051\n13222 19772\n86930 100000\n49265 73841\n32106 48043\n58787 88123\n37349 55940\n81826 100000\n47018 70470\n6860 10224\n40210 60235\n62630 93930\n23618 35348\n13439 20098\n77585 100000\n87095 100000\n2442 3653\n96867 100000\n30721 45959\n20313 30367\n59536 89241\n1557 2322\n87933 100000\n29053 43440\n68037 100000\n63605 95378\n81251 100000\n88057 100000\n62946 94403\n59537 89243\n57052 85515\n8333 12405\n85165 100000\n18155 27137\n97840 100000\n84241 100000\n54831 82188\n31538 47193\n9124 13605\n9265 13812\n37144 55627\n90882 100000\n94325 100000\n40039 59982\n97455 100000\n5523 8229\n28501 42618\n66147 99217\n52229 78289\n50788 76133\n54919 82314\n97008 100000\n1056 1580\n68667 100000\n42287 63367\n6452 9616\n5120 7624\n99305 100000\n46229 69263\n66616 99923\n22916 34311\n23985 35896\n24900 37271\n53510 80214\n64822 97206\n51169 76704\n7281 10856\n26927 40299\n86985 100000\n53196 79749\n90558 100000\n66544 99814\n27471 41096\n75404 100000\n84006 100000\n4440 6605\n78023 100000\n87931 100000\n59410 89050\n12147 18175\n36301 54357\n69862 100000\n91193 100000\n37286 55843\n49546 74273\n91595 100000\n8994 13413\n33107 49526\n51578 77316\n91726 100000\n34 50\n88067 100000\n52970 79427\n46100 69068\n48115 72121\n46395 69517\n47335 70946\n26560 39761\n65674 98506\n8435 12555\n55579 83295\n74070 100000\n5377 8009\n79798 100000\n80619 100000\n45219 67745\n46571 69782\n67837 100000\n8259 12291\n54297 81394\n97061 100000\n90314 100000\n13939 20831\n83519 100000\n5069 7549\n36918 55287\n22223 33251\n70938 100000\n83403 100000\n2110 3163\n36646 54882\n44793 67090\n2032 3044\n70066 100000\n70121 100000\n57275 85839\n90588 100000\n29952 44802\n98057 100000\n15398 23005\n76093 100000\n72351 100000\n30702 45926\n28528 42659\n40049 59995\n38996 58402\n47619 71372\n33295 49804\n33158 49604\n42283 63361\n28783 43038\n64647 96940\n67503 100000\n5957 8874\n98478 100000\n74997 100000\n84715 100000\n73147 100000\n49048 73512\n17077 25514\n22142 33133\n91762 100000\n81639 100000\n81785 100000\n43197 64719\n89934 100000\n31570 47242\n36794 55106\n75322 100000\n81182 100000\n6007 8950\n3148 4688\n78555 100000\n27753 41511\n27135 40612\n53040 79529\n27046 40468\n79591 100000\n66103 99154\n72344 100000\n44017 65963\n50268 75352\n98676 100000\n31906 47744\n74456 100000\n9300 13865\n52757 79092\n47975 71910\n57237 85780\n13505 20197\n51286 76882\n85817 100000\n81795 100000\n55356 82965\n16445 24575\n67032 100000\n3847 5715\n17682 26432\n81274 100000\n45704 68473\n97788 100000\n2485 3721\n50333 75452\n94354 100000\n42348 63453\n22507 33686\n40787 61129\n63104 94647\n87299 100000\n76096 100000\n27070 40508\n25938 38821\n18113 27077\n31169 46625\n45111 67576\n57551 86254\n15370 22963\n44902 67254\n73158 100000\n90849 100000\n62839 94244\n77831 100000\n17233 25745\n42408 63549\n42992 64425\n4667 6939\n99588 100000\n34804 52065\n42883 64255\n51163 76695\n51466 77144\n24444 36596\n87905 100000\n93513 100000\n70402 100000\n52088 78077\n91821 100000\n14885 22246\n79326 100000\n34715 51935\n59110 88599\n13930 20818\n33743 50476\n87702 100000\n61788 92679\n83707 100000\n92717 100000\n11108 16576\n61801 92699\n26328 39416\n8129 12096\n5124 7631\n94466 100000\n89547 100000\n30412 45486\n53177 79720\n19212 28723\n80298 100000\n67455 100000\n80475 100000\n52439 78607\n41125 61640\n10025 14968\n70829 100000\n57114 85604\n50194 75238\n10334 15422\n8098 12052\n500 745\n17173 25658\n26355 39457\n45025 67437\n93893 100000\n87509 100000\n70106 100000\n2958 4416\n38493 57662\n18885 28237\n43871 65748\n81602 100000\n51346 76972\n25351 37946\n30633 45825\n14005 20931\n77493 100000\n12539 18747\n28066 41973\n34506 51632\n34003 50866\n55243 82797\n81942 100000\n76980 100000\n95254 100000\n80155 100000\n9107 13582\n88716 100000\n39111 58579\n58319 87424\n77878 100000\n46647 69899\n58986 88416\n3395 5047\n71885 100000\n46741 70045\n6965 10384\n26759 40055\n47417 71069\n11970 17906\n40915 61323\n47034 70492\n38331 57411\n98392 100000\n18503 27658\n78392 100000\n93065 100000\n268 396\n57359 85964\n84438 100000\n93768 100000\n73559 100000\n54606 81850\n67731 100000\n52420 78574\n30579 45738\n37529 56215\n70784 100000\n76178 100000\n78836 100000\n7797 11615\n74895 100000\n39498 59177\n88059 100000\n72954 100000\n34194 51149\n1915 2864\n18521 27684\n70688 100000\n12548 18761\n80826 100000\n3912 5808\n1021 1527\n8826 13159\n77390 100000\n775 1159\n73653 100000\n50247 75319\n20665 30904\n34781 52032\n65220 97809\n84888 100000\n48149 72171\n51294 76894\n54932 82335\n68927 100000\n38296 57355\n86359 100000\n85405 100000\n40163 60163\n9415 14041\n49812 74673\n26456 39607\n70062 100000\n44887 67228\n65647 98468\n8369 12461\n26735 40021\n32181 48157\n23440 35084\n42394 63527\n84336 100000\n50189 75232\n74883 100000\n46164 69169\n8302 12356\n78026 100000\n63377 95048\n17575 26267\n45667 68415\n77957 100000\n86854 100000\n87969 100000\n79530 100000\n77039 100000\n55896 83774\n84013 100000\n49645 74423\n16785 25078\n64597 96863\n43342 64950\n49002 73438\n52819 79191\n71944 100000\n99018 100000\n73126 100000\n25794 38609\n3404 5058\n95907 100000\n6679 9943\n74861 100000\n37346 55936\n88197 100000\n76310 100000\n98459 100000\n62807 94196\n35570 53235\n68097 100000\n74950 100000\n30474 45577\n57618 86360\n99425 100000\n40252 60300\n61327 91985\n5899 8789\n67891 100000\n76684 100000\n77962 100000\n6314 9415\n74050 100000\n81950 100000\n70507 100000\n54598 81839\n72220 100000\n23964 35865\n43205 64732\n68815 100000\n5985 8913\n67738 100000\n71369 100000\n24321 36404\n55070 82538\n88665 100000\n40616 60860\n26334 39424\n3302 4915\n65766 98646\n22163 33164\n19270 28818\n99474 100000\n96904 100000\n78347 100000\n93927 100000\n73580 100000\n66225 99337\n15746 23538\n87595 100000\n86375 100000\n75879 100000\n95673 100000\n7073 10542\n87761 100000\n77718 100000\n21690 32446\n84862 100000\n31618 47311\n73786 100000\n93742 100000\n32767 49007\n96064 100000\n65136 97682\n98222 100000\n44636 66857\n38872 58223\n27655 41365\n43561 65284\n2210 3307\n15643 23383\n4704 6990\n19790 29596\n4376 6509\n39285 58846\n32576 48726\n56361 84475\n80339 100000\n45349 67941\n78245 100000\n49692 74493\n19666 29408\n52002 77948\n14726 22001\n96490 100000\n87959 100000\n81705 100000\n16279 24335\n26824 40150\n84296 100000\n65352 98023\n81078 100000\n12602 18842\n83309 100000\n36492 54640\n22019 32945\n51663 77443\n7174 10700\n82319 100000\n91081 100000\n86303 100000\n73760 100000\n62754 94115\n5376 8008\n9866 14725\n88196 100000\n64412 96594\n4132 6143\n21553 32242\n94123 100000\n65656 98480\n8742 13025\n78302 100000\n34261 51258\n37815 56632\n42061 63031\n40637 60891\n33879 50677\n4466 6641\n31024 46412\n6685 9952\n49459 74143\n58790 88127\n83258 100000\n40889 61286\n4892 7273\n29488 44088\n69141 100000\n2907 4340\n80685 100000\n51384 77033\n76376 100000\n86721 100000\n89313 100000\n45198 67709\n50859 76238\n20463 30595\n42915 64310\n38541 57734\n67410 100000\n83825 100000\n53381 80024\n94114 100000\n63143 94704\n74007 100000\n317 468\n1495 2231\n55854 83707\n72503 100000\n73156 100000\n52936 79372\n20032 29941\n33288 49793\n96511 100000\n43429 65090\n97573 100000\n52476 78664\n90831 100000\n59487 89168\n86090 100000\n94356 100000\n14085 21047\n78709 100000\n53136 79661\n33477 50075\n50134 75152\n14019 20952\n11129 16604\n60264 90364\n51711 77517\n13324 19926\n12644 18908\n65026 97509\n304 447\n7450 11109\n80704 100000\n6531 9735\n86415 100000\n95416 100000\n55153 82655\n58864 88238\n37504 56177\n79635 100000\n93895 100000\n6438 9594\n96585 100000\n57597 86325\n46199 69216\n34383 51452\n68680 100000\n67284 100000\n76356 100000\n40801 61152\n58075 87051\n9131 13617\n57789 86617\n83704 100000\n5049 7520\n82162 100000\n8835 13171\n25244 37783\n74217 100000\n86730 100000\n24626 36871\n71921 100000\n55380 83001\n48594 72824\n39030 58456\n37028 55452\n78807 100000\n9954 14858\n61275 91900\n99210 100000\n47149 70670\n5995 8930\n84005 100000\n34157 51099\n49927 74850\n73638 100000\n14044 20987\n40959 61390\n62493 93725\n71421 100000\n4041 6004\n31839 47645\n87598 100000\n16971 25360\n16690 24937\n4724 7021\n1136 1699\n94993 100000\n85382 100000\n53950 80878\n44587 66791\n52302 78397\n40745 61063\n33481 50082\n37695 56458\n66801 100000\n63426 95121\n31933 47785\n97450 100000\n52491 78685\n43647 65410\n84409 100000\n688 1031\n58867 88242\n89671 100000\n34376 51439\n92142 100000\n62507 93749\n72788 100000\n18999 28406\n52968 79423\n64763 97113\n50472 75655\n24227 36264\n61181 91749\n57395 86016\n93724 100000\n87898 100000\n76470 100000\n90201 100000\n15807 23629\n51883 77768\n40282 60345\n69562 100000\n30765 46025\n64024 96016\n99812 100000\n16303 24368\n42033 62991\n94174 100000\n92250 100000\n41004 61457\n61262 91880\n10130 15121\n12812 19164\n32716 48929\n5955 8871\n21709 32474\n67345 100000\n15477 23131\n34502 51624\n43643 65406\n33318 49833\n81921 100000\n3352 4981\n19235 28764\n7810 11634\n20925 31290\n30581 45741\n6580 9805\n23145 34642\n32476 48589\n66349 99521\n1605 2390\n92472 100000\n10213 15238\n36429 54548\n48823 73168\n94769 100000\n47867 71748\n63405 95087\n48713 72998\n44118 66114\n42381 63508\n95366 100000\n42711 63995\n15613 23338\n5165 7692\n38340 57428\n63659 95455\n69232 100000\n21937 32822\n99505 100000\n51044 76518\n98344 100000\n70545 100000\n51419 77082\n26705 39976\n76800 100000\n59371 88993\n4491 6681\n541 809\n6745 10040\n52186 78226\n30281 45292\n13433 20088\n78453 100000\n29759 44509\n63379 95050\n57170 85680\n54295 81391\n71248 100000\n75802 100000\n98410 100000\n21264 31804\n48222 72273\n70681 100000\n94167 100000\n60673 90991\n98438 100000\n14132 21117\n68095 100000\n58263 87333\n89273 100000\n17551 26233\n58762 88082\n12697 18987\n60142 90175\n41655 62418\n57078 85552\n59590 89326\n45488 68146\n62532 93782\n23639 35382\n19387 28995\n74926 100000\n71352 100000\n45895 68757\n8612 12835\n53743 80571\n34278 51285\n75263 100000\n60268 90370\n18981 28377\n5629 8379\n72018 100000\n82815 100000\n4609 6849\n52572 78805\n41136 61653\n6563 9779\n44588 66793\n57404 86031\n48116 72122\n20532 30699\n50577 75807\n98570 100000\n1511 2254\n531 791\n16033 23970\n90368 100000\n60862 91271\n11030 16460\n1111 1664\n81780 100000\n27238 40760\n23942 35833\n8914 13295\n86003 100000\n69757 100000\n20362 30441\n4108 6101\n83672 100000\n15236 22766\n34035 50914\n82117 100000\n40465 60619\n39366 58974\n98130 100000\n58265 87335\n60013 89973\n35386 52946\n75354 100000\n26590 39803\n62016 93024\n31219 46699\n19750 29533\n1216 1820\n58837 88200\n11475 17140\n77838 100000\n60092 90097\n44092 66076\n67398 100000\n70569 100000\n72480 100000\n9464 14117\n98184 100000\n93442 100000\n4015 5963\n73072 100000\n26132 39117\n33336 49861\n62907 94345\n92326 100000\n88178 100000\n28814 43086\n50759 76086\n76163 100000\n11986 17931\n24782 37102\n50511 75712\n74761 100000\n95715 100000\n72557 100000\n67473 100000\n78913 100000\n85034 100000\n1275 1909\n47833 71696\n36447 54576\n4854 7217\n95829 100000\n83579 100000\n26059 38998\n80742 100000\n46106 69077\n80897 100000\n56192 84221\n52382 78514\n62254 93381\n15891 23760\n76112 100000\n62274 93408\n67871 100000\n62231 93347\n18202 27206\n32006 47893\n17368 25957\n10251 15293\n52888 79296\n19899 29750\n6096 9084\n30907 46248\n49719 74532\n7351 10962\n65173 97740\n88580 100000\n97640 100000\n59383 89006\n36021 53920\n3633 5400\n89356 100000\n37712 56487\n38732 58017\n30553 45696\n52788 79144\n50045 75027\n3638 5409\n11620 17369\n96701 100000\n73235 100000\n14605 21818\n73303 100000\n57970 86892\n2923 4363\n98068 100000\n56441 84593\n21183 31678\n18625 27838\n29554 44193\n33261 49753\n29061 43454\n98274 100000\n61626 92433\n79468 100000\n43880 65763\n37188 55693\n54835 82194\n38671 57922\n15141 22620\n16463 24605\n4636 6893\n88854 100000\n16485 24639\n92976 100000\n79227 100000\n36212 54225\n16249 24296\n58122 87120\n88144 100000\n99022 100000\n39813 59642\n69698 100000\n99214 100000\n2203 3296\n43408 65056\n27355 40926\n59696 89492\n51601 77351\n84124 100000\n90589 100000\n21577 32275\n25448 38090\n90064 100000\n59370 88992\n21370 31960\n72187 100000\n37205 55720\n74151 100000\n17050 25476\n33850 50632\n55040 82496\n1496 2233\n40553 60762\n65744 98613\n85343 100000\n75762 100000\n77077 100000\n3959 5881\n81700 100000\n17069 25502\n55959 83871\n84661 100000\n22568 33778\n27637 41343\n58606 87848\n3493 5190\n31678 47398\n73440 100000\n71626 100000\n13624 20367\n99170 100000\n80004 100000\n20553 30728\n45542 68227\n77116 100000\n27347 40916\n54250 81324\n88040 100000\n62596 93877\n81951 100000\n47503 71198\n25631 38360\n31211 46689\n92506 100000\n27522 41171\n77819 100000\n45787 68598\n50398 75551\n69851 100000\n78745 100000\n60200 90264\n84919 100000\n81361 100000\n61976 92966\n3942 5856\n67266 100000\n71546 100000\n96905 100000\n98470 100000\n43305 64895\n77474 100000\n20544 30714\n90378 100000\n51099 76596\n50810 76165\n74685 100000\n12443 18606\n65533 98300\n23376 34987\n85621 100000\n72886 100000\n88754 100000\n89859 100000\n93709 100000\n15529 23211\n3335 4958\n4790 7120\n21775 32569\n76521 100000\n26633 39872\n2101 3150\n55015 82457\n49585 74334\n96884 100000\n62174 93262\n54897 82281\n29992 44862\n96389 100000\n43108 64597\n77951 100000\n5942 8851\n68284 100000\n69818 100000\n80907 100000\n56455 84615\n76242 100000\n94507 100000\n65621 98431\n22650 33899\n94323 100000\n39853 59701\n10416 15555\n82320 100000\n62788 94164\n95010 100000\n7796 11614\n4413 6564\n77198 100000\n92054 100000\n69371 100000\n87031 100000\n19751 29535\n95618 100000\n86657 100000\n32917 49236\n80104 100000\n51293 76893\n49075 73555\n44603 66813\n14365 21457\n27556 41219\n350 514\n86692 100000\n44295 66365\n60010 89968\n31464 47082\n15055 22493\n71228 100000\n65134 97678\n34513 51641\n50046 75029\n91939 100000\n94745 100000\n4807 7148\n2417 3620\n30011 44890\n22013 32937\n13593 20325\n34412 51495\n92210 100000\n62773 94142\n35104 52517\n67236 100000\n74201 100000\n92549 100000\n24418 36558\n48034 71997\n80915 100000\n29586 44241\n24837 37181\n13202 19746\n2743 4091\n48773 73092\n3697 5496\n66433 99646\n50983 76428\n27968 41827\n71699 100000\n97305 100000\n20110 30056\n98606 100000\n89072 100000\n58623 87874\n47558 71284\n77832 100000\n25192 37706\n3891 5781\n7539 11242\n8494 12652\n76276 100000\n23783 35589\n95282 100000\n85691 100000\n84189 100000\n51966 77897\n10144 15136\n15623 23353\n3873 5752\n23276 34844\n60196 90258\n39348 58943\n48729 73021\n96756 100000\n63551 95304\n74047 100000\n36623 54849\n10506 15682\n86154 100000\n86537 100000\n6318 9422\n82099 100000\n84582 100000\n2562 3840\n92897 100000\n94611 100000\n66837 100000\n97610 100000\n39561 59269\n19572 29273\n29670 44374\n38238 57266\n47281 70866\n94285 100000\n89957 100000\n1736 2588\n12886 19271\n99384 100000\n97064 100000\n8816 13143\n87728 100000\n46912 70306\n71795 100000\n20398 30499\n36606 54820\n78812 100000\n99476 100000\n44188 66221\n47257 70831\n95293 100000\n76534 100000\n36243 54272\n94589 100000\n65855 98775\n92554 100000\n3670 5455\n4280 6366\n13279 19854\n72779 100000\n81974 100000\n13995 20918\n41151 61678\n10180 15185\n45455 68095\n64287 96402\n4196 6241\n73381 100000\n3969 5895\n88390 100000\n90717 100000\n86584 100000\n98757 100000\n86573 100000\n24075 36029\n97094 100000\n75372 100000\n78713 100000\n87961 100000\n85729 100000\n27072 40511\n65925 98876\n13037 19494\n97234 100000\n51498 77192\n85192 100000\n73307 100000\n86402 100000\n70585 100000\n72868 100000\n1460 2185\n70672 100000\n55824 83661\n96950 100000\n40368 60475\n55799 83619\n38170 57164\n55291 82870\n77120 100000\n14366 21459\n68732 100000\n46857 70223\n32196 48180\n43927 65833\n16558 24747\n98232 100000\n82395 100000\n81343 100000\n6180 9219\n32356 48415\n17959 26845\n27778 41545\n96530 100000\n14786 22090\n24812 37145\n60656 90963\n59721 89531\n7410 11053\n77193 100000\n86392 100000\n23126 34616\n30705 45932\n9290 13852\n78615 100000\n18716 27984\n24163 36161\n92452 100000\n37705 56476\n69296 100000\n53895 80796\n28005 41883\n36222 54240\n31273 46787\n18622 27832\n36200 54207\n10885 16245\n79113 100000\n92893 100000\n80959 100000\n82789 100000\n366 537\n84265 100000\n93185 100000\n60520 90754\n72067 100000\n76839 100000\n15209 22722\n83396 100000\n69455 100000\n37603 56323\n73163 100000\n28481 42592\n16974 25364\n97691 100000\n86352 100000\n94402 100000\n60147 90181\n22893 34276\n6235 9298\n91775 100000\n60535 90780\n65586 98378\n19668 29410\n73922 100000\n21682 32435\n88632 100000\n40437 60579\n84328 100000\n82793 100000\n41736 62536\n80797 100000\n14026 20963\n90139 100000\n35196 52657\n79204 100000\n75796 100000\n1901 2848\n99138 100000\n49510 74219\n9633 14370\n6720 10008\n79409 100000\n62937 94391\n81977 100000\n71431 100000\n77811 100000\n36671 54920\n81276 100000\n46496 69675\n64064 96073\n92770 100000\n63663 95461\n94486 100000\n30172 45129\n46715 70006\n21841 32677\n24823 37161\n89290 100000\n50987 76433\n98536 100000\n21388 31989\n22556 33760\n84470 100000\n52457 78633\n53091 79594\n1199 1793\n33727 50451\n25331 37915\n50009 74975\n72675 100000\n54580 81814\n62948 94405\n58591 87825\n36067 53994\n43954 65873\n75787 100000\n7042 10498\n2267 3389\n22463 33619\n83715 100000\n45014 67424\n83834 100000\n1760 2627\n60630 90922\n18138 27112\n13540 20245\n88974 100000\n50424 75586\n75169 100000\n59512 89206\n22440 33587\n64777 97138\n47646 71406\n88687 100000\n84749 100000\n30078 44987\n76668 100000\n91852 100000\n65495 98244\n71708 100000\n40648 60909\n36467 54605\n97553 100000\n4414 6566\n84705 100000\n43433 65094\n34626 51802\n59798 89651\n58472 87645\n89160 100000\n96278 100000\n5703 8487\n45086 67535\n84857 100000\n59473 89147\n15412 23025\n86151 100000\n74674 100000\n8536 12720\n98384 100000\n54634 81887\n47848 71719\n66345 99515\n41264 61841\n99296 100000\n70990 100000\n82267 100000\n69184 100000\n6286 9374\n7612 11351\n77889 100000\n68227 100000\n12849 19216\n97521 100000\n66856 100000\n46478 69647\n81410 100000\n82119 100000\n48618 72861\n812 1216\n26023 38948\n21928 32811\n94069 100000\n54505 81704\n83501 100000\n55319 82911\n67615 100000\n80529 100000\n59669 89450\n93475 100000\n50288 75383\n83108 100000\n92403 100000\n53051 79541\n85774 100000\n8066 12000\n12638 18899\n22376 33493\n29403 43959\n87249 100000\n27383 40970\n72774 100000\n67019 100000\n94064 100000\n67839 100000\n18071 27012\n5475 8160\n94116 100000\n44710 66971\n74963 100000\n55542 83242\n71197 100000\n52351 78465\n18086 27035\n84277 100000\n91255 100000\n15240 22771\n51880 77764\n20457 30586\n18013 26926\n36371 54465\n29649 44340\n87269 100000\n15128 22600\n28562 42705\n26559 39760\n33747 50482\n32261 48277\n71086 100000\n68599 100000\n42641 63892\n78958 100000\n15039 22470\n25151 37642\n70766 100000\n18284 27329\n1526 2275\n98612 100000\n40348 60447\n12641 18904\n96248 100000\n58856 88227\n22067 33015\n60140 90172\n98007 100000\n25193 37707\n37491 56157\n78366 100000\n49753 74581\n62206 93309\n19836 29664\n43766 65591\n46486 69661\n74638 100000\n49082 73564\n91026 100000\n57967 86888\n15906 23780\n71272 100000\n63250 94864\n36703 54968\n36875 55229\n86104 100000\n11141 16621\n29428 43999\n9659 14408\n7262 10826\n35670 53383\n68378 100000\n24872 37230\n20182 30160\n39845 59690\n71755 100000\n24916 37294\n79171 100000\n68244 100000\n60312 90441\n77583 100000\n82928 100000\n66064 99091\n40583 60813\n2814 4196\n94074 100000\n58926 88322\n2772 4130\n82938 100000\n48206 72249\n4253 6326\n37805 56617\n74773 100000\n28983 43329\n5900 8791\n75067 100000\n44415 66537\n27289 40829\n84449 100000\n75165 100000\n71787 100000\n54226 81287\n21132 31602\n10317 15393\n652 976\n28288 42312\n2851 4252\n57685 86464\n25198 37715\n72783 100000\n98377 100000\n50264 75347\n92044 100000\n23243 34791\n79462 100000\n44183 66215\n1169 1745\n71807 100000\n31711 47453\n54731 82039\n73857 100000\n56846 85208\n61257 91873\n59912 89815\n5683 8456\n39598 59324\n43799 65639\n63364 95031\n10640 15872\n2360 3531\n86994 100000\n12672 18950\n49903 74813\n15859 23710\n1212 1814\n76862 100000\n1449 2169\n75921 100000\n14243 21279\n88470 100000\n4907 7297\n70463 100000\n82132 100000\n64223 96306\n52228 78287\n97187 100000\n8172 12163\n82530 100000\n12269 18359\n17815 26637\n97206 100000\n34091 50995\n29188 43638\n19423 29044\n58784 88117\n10730 16006\n26150 39147\n89214 100000\n45779 68588\n79375 100000\n8999 13421\n71958 100000\n39412 59047\n55272 82838\n15641 23380\n16674 24914\n86921 100000\n71282 100000\n53684 80481\n12698 18989\n75166 100000\n62472 93691\n42601 63829\n50503 75701\n70599 100000\n22954 34369\n24933 37316\n67807 100000\n93457 100000\n37583 56292\n38350 57441\n5268 7846\n25824 38654\n16250 24297\n85752 100000\n88886 100000\n73435 100000\n16817 25125\n91132 100000\n71416 100000\n86129 100000\n42823 64161\n3229 4810\n8896 13264\n55433 83081\n30236 45226\n63742 95585\n84312 100000\n55920 83813\n72213 100000\n95314 100000\n61051 91553\n31969 47841\n16612 24825\n60851 91255\n25015 37445\n17007 25411\n9555 14257\n1408 2107\n18870 28216\n50453 75627\n79993 100000\n76594 100000\n90864 100000\n42763 64073\n31351 46909\n46806 70143\n53879 80771\n2474 3701\n92877 100000\n35919 53767\n88879 100000\n25368 37968\n13901 20777\n8112 12072\n53825 80693\n27361 40935\n70247 100000\n83539 100000\n91935 100000\n16322 24399\n32348 48404\n51761 77591\n4221 6280\n3885 5772\n44428 66557\n7023 10470\n73430 100000\n34814 52080\n18114 27079\n43460 65136\n65089 97607\n99137 100000\n93906 100000\n95524 100000\n80439 100000\n50142 75165\n99122 100000\n97294 100000\n67366 100000\n38098 57064\n56697 84982\n44947 67324\n39804 59627\n94498 100000\n58868 88243\n24123 36100\n74022 100000\n21322 31890\n32718 48933\n77447 100000\n2919 4358\n75211 100000\n50757 76082\n23590 35307\n68467 100000\n74465 100000\n58054 87021\n89822 100000\n3958 5879\n24286 36348\n10460 15620\n67635 100000\n38881 58237\n14035 20975\n81086 100000\n70581 100000\n39560 59267\n31505 47141\n26689 39955\n60504 90729\n74964 100000\n79848 100000\n98523 100000\n46578 69793\n81529 100000\n15207 22719\n66176 99264\n51727 77541\n46325 69407\n17859 26709\n69832 100000\n32102 48037\n34457 51557\n35845 53654\n18118 27084\n38929 58301\n89282 100000\n39434 59083\n17436 26062\n29591 44249\n19156 28643\n41610 62352\n21930 32813\n35424 53003\n86589 100000\n59359 88976\n31489 47120\n88852 100000\n93307 100000\n54376 81513\n92341 100000\n26137 39125\n21913 32789\n57527 86221\n40351 60451\n91854 100000\n68511 100000\n73408 100000\n39032 58458\n51438 77106\n94826 100000\n25815 38640\n52191 78233\n40495 60665\n72385 100000\n54812 82159\n65211 97797\n58504 87699\n84070 100000\n91578 100000\n38242 57271\n18029 26948\n80268 100000\n21516 32180\n65885 98817\n85393 100000\n1255 1877\n28473 42583\n27571 41242\n11778 17612\n23241 34789\n31155 46604\n18236 27257\n92055 100000\n9710 14487\n35817 53611\n98951 100000\n81400 100000\n78688 100000\n60897 91322\n79658 100000\n16475 24625\n6778 10092\n72641 100000\n56782 85113\n76951 100000\n6748 10046\n43809 65653\n38574 57781\n61113 91644\n59067 88535\n72737 100000\n35231 52711\n42062 63033\n88814 100000\n8719 12991\n39641 59381\n21602 32311\n20822 31137\n93804 100000\n77912 100000\n48915 73307\n75635 100000\n65042 97534\n86848 100000\n89508 100000\n49514 74225\n57643 86399\n88540 100000\n4218 6274\n50539 75757\n69372 100000\n56119 84107\n95227 100000\n19491 29147\n42722 64012\n37619 56348\n12201 18253\n11332 16915\n98458 100000\n7573 11290\n26341 39434\n89604 100000\n51162 76693\n81325 100000\n66848 100000\n74410 100000\n10374 15484\n46045 68988\n7151 10664\n3003 4479\n99235 100000\n54186 81231\n71260 100000\n25546 38231\n81682 100000\n48711 72996\n22875 34247\n84119 100000\n38658 57903\n67005 100000\n26448 39595\n36130 54098\n32359 48419\n50393 75543\n69445 100000\n98111 100000\n66792 100000\n55527 83222\n12351 18473\n1004 1504\n43052 64518\n67543 100000\n58658 87931\n30344 45379\n37473 56131\n73888 100000\n35426 53006\n83975 100000\n74273 100000\n55827 83666\n17531 26203\n17872 26730\n70409 100000\n62341 93507\n80472 100000\n90006 100000\n86650 100000\n66497 99742\n75371 100000\n63576 95339\n41957 62875\n77488 100000\n9547 14244\n93048 100000\n94762 100000\n59129 88625\n73341 100000\n76873 100000\n78444 100000\n23951 35844\n30794 46071\n11427 17059\n71507 100000\n89150 100000\n82419 100000\n92284 100000\n54223 81282\n45793 68609\n40090 60053\n55459 83120\n42079 63058\n72482 100000\n35388 52948\n45805 68625\n21842 32679\n46127 69111\n98230 100000\n6017 8965\n13028 19479\n55395 83022\n50486 75676\n79868 100000\n79089 100000\n43764 65587\n60984 91452\n70022 100000\n29248 43728\n52665 78951\n66209 99311\n92574 100000\n11912 17816\n28146 42097\n72467 100000\n78443 100000\n85135 100000\n35540 53194\n94568 100000\n99286 100000\n93195 100000\n34720 51942\n33129 49562\n53137 79663\n22571 33783\n89371 100000\n89520 100000\n44266 66326\n13508 20200\n84624 100000\n7531 11231\n72029 100000\n35014 52387\n21692 32448\n27611 41303\n5647 8405\n33319 49835\n12948 19360\n14768 22061\n69923 100000\n94248 100000\n92409 100000\n89107 100000\n2799 4173\n31652 47359\n16359 24450\n93990 100000\n95374 100000\n20030 29938\n73188 100000\n68843 100000\n9809 14640\n17452 26087\n4322 6425\n36078 54013\n30872 46197\n47357 70983\n26282 39343\n77064 100000\n91534 100000\n90101 100000\n90441 100000\n19080 28527\n48900 73287\n33860 50649\n83006 100000\n67382 100000\n42143 63152\n85919 100000\n28113 42049\n88071 100000\n14377 21476\n9825 14666\n52600 78845\n68808 100000\n44117 66112\n96968 100000\n9475 14131\n50306 75409\n67375 100000\n63275 94902\n54167 81201\n28659 42849\n25891 38748\n56415 84557\n9360 13958\n23363 34973\n66876 100000\n57219 85755\n95109 100000\n4902 7290\n25504 38175\n19724 29493\n60252 90344\n26305 39378\n88585 100000\n4971 7397\n15825 23661\n38072 57023\n73347 100000\n9471 14126\n87024 100000\n97223 100000\n19979 29868\n15646 23388\n13534 20235\n83522 100000\n3189 4752\n52164 78190\n19074 28520\n85106 100000\n73629 100000\n47595 71337\n75253 100000\n43701 65494\n5652 8412\n2249 3363\n71177 100000\n27952 41802\n54145 81167\n48700 72978\n87583 100000\n72342 100000\n58948 88361\n96386 100000\n83871 100000\n36013 53908\n91118 100000\n98175 100000\n35614 53301\n48166 72197\n97173 100000\n42107 63100\n89254 100000\n28084 42004\n25701 38470\n71337 100000\n96601 100000\n11950 17874\n88161 100000\n77511 100000\n35242 52729\n45415 68038\n46990 70424\n1570 2343\n63271 94897\n67173 100000\n80424 100000\n22874 34245\n83367 100000\n73648 100000\n95229 100000\n88528 100000\n64899 97322\n60792 91171\n96727 100000\n58331 87437\n64404 96582\n68515 100000\n86539 100000\n13683 20449\n83773 100000\n79922 100000\n4523 6726\n17056 25484\n23913 35790\n43890 65779\n62836 94238\n77553 100000\n64579 96837\n41664 62432\n93811 100000\n15258 22798\n34223 51196\n66817 100000\n20083 30018\n62077 93117\n24066 36015\n74187 100000\n56634 84887\n58655 87925\n91615 100000\n3540 5261\n13182 19716\n35788 53563\n96831 100000\n69781 100000\n76721 100000\n35747 53501\n21216 31730\n91458 100000\n78196 100000\n64745 97085\n28981 43325\n52270 78350\n50003 74965\n18422 27535\n85416 100000\n56830 85183\n77691 100000\n41059 61542\n73308 100000\n53401 80052\n78396 100000\n10485 15654\n24187 36202\n84580 100000\n10930 16309\n76660 100000\n81056 100000\n5254 7825\n5307 7902\n51961 77889\n88237 100000\n3115 4640\n28664 42857\n41145 61667\n56111 84096\n56498 84685\n74144 100000\n82923 100000\n61664 92494\n27182 40677\n14150 21142\n21615 32333\n81298 100000\n59071 88541\n45427 68055\n86446 100000\n67246 100000\n53219 79784\n30562 45711\n11493 17167\n6225 9286\n61286 91917\n85999 100000\n58506 87702\n26608 39833\n17065 25495\n1048 1568\n66739 100000\n93426 100000\n99820 100000\n42497 63678\n40786 61127\n16695 24945\n76938 100000\n96179 100000\n99609 100000\n88313 100000\n5354 7976\n80105 100000\n4129 6139\n35353 52892\n58276 87352\n67338 100000\n51012 76470\n16376 24474\n49168 73697\n42098 63087\n86478 100000\n83923 100000\n76675 100000\n60973 91437\n4091 6072\n92245 100000\n46895 70280\n99601 100000\n62891 94320\n15195 22700\n76354 100000\n27766 41528\n21327 31898\n2502 3747\n2317 3468\n4032 5989\n25457 38105\n27331 40894\n87002 100000\n66608 99911\n97497 100000\n18195 27197\n36192 54193\n78955 100000\n48657 72918\n95031 100000\n10259 15304\n31679 47400\n35639 53334\n36277 54323\n79376 100000\n63856 95765\n55820 83654\n87343 100000\n49506 74213\n57633 86385\n36643 54878\n22506 33684\n774 1158\n95239 100000\n17687 26439\n7721 11515\n83315 100000\n66600 99897\n42919 64316\n39971 59877\n20864 31200\n31360 46924\n57874 86746\n58841 88206\n56590 84820\n17070 25503\n6541 9750\n47953 71878\n91792 100000\n99832 100000\n66203 99300\n47818 71672\n87880 100000\n51364 76998\n97366 100000\n48484 72664\n1928 2884\n44816 67119\n42223 63269\n9511 14187\n96610 100000\n80301 100000\n76786 100000\n18813 28126\n98013 100000\n65478 98219\n57569 86279\n23891 35757\n63078 94605\n63570 95329\n32415 48499\n23350 34952\n55056 82519\n96287 100000\n31561 47228\n59115 88606\n93332 100000\n5852 8715\n79671 100000\n84345 100000\n46785 70109\n12390 18532\n81429 100000\n85672 100000\n17570 26258\n69570 100000\n80448 100000\n45266 67814\n64789 97155\n82929 100000\n25729 38508\n54552 81778\n61736 92607\n30931 46283\n12974 19401\n40806 61159\n23914 35792\n18307 27367\n62676 93999\n59426 89072\n59878 89766\n72422 100000\n20386 30480\n82103 100000\n88476 100000\n90280 100000\n46040 68980\n52460 78638\n8627 12855\n42007 62950\n70736 100000\n82088 100000\n27768 41530\n33594 50250\n19708 29468\n76789 100000\n29736 44473\n20311 30363\n45413 68034\n8539 12725\n81170 100000\n67281 100000\n91438 100000\n28333 42379\n49067 73543\n34673 51869\n65850 98768\n12934 19340\n34386 51457\n26950 40333\n5155 7675\n52747 79077\n3239 4826\n96313 100000\n45585 68287\n23949 35842\n85304 100000\n20504 30658\n29086 43486\n11518 17210\n18648 27874\n8610 12831\n4650 6915\n81680 100000\n92003 100000\n5968 8888\n5478 8164\n53362 79996\n4497 6689\n70718 100000\n62721 94064\n13089 19574\n9006 13431\n79383 100000\n29857 44656\n50050 75034\n87900 100000\n96747 100000\n78639 100000\n36428 54547\n64919 97350\n84358 100000\n25369 37969\n93181 100000\n56971 85392\n97109 100000\n12273 18367\n21137 31611\n4874 7246\n20498 30647\n26005 38923\n39932 59815\n77075 100000\n27329 40892\n65194 97770\n79781 100000\n86339 100000\n48665 72932\n30517 45642\n29947 44794\n64905 97330\n66309 99460\n76162 100000\n68557 100000\n41423 62077\n93122 100000\n49586 74336\n22850 34209\n25513 38186\n89342 100000\n87807 100000\n8329 12399\n6754 10053\n58334 87441\n77190 100000\n52330 78437\n77079 100000\n72938 100000\n34970 52319\n6135 9147\n35811 53603\n26451 39600\n88278 100000\n86663 100000\n61774 92660\n58511 87710\n70322 100000\n98533 100000\n18682 27932\n2995 4469\n611 913\n49616 74382\n77215 100000\n99509 100000\n45440 68074\n74792 100000\n20779 31079\n64876 97286\n94743 100000\n77334 100000\n76923 100000\n47427 71085\n74557 100000\n5541 8257\n18355 27440\n50358 75490\n59652 89424\n84850 100000\n76663 100000\n37586 56297\n63105 94649\n69053 100000\n46355 69453\n8530 12712\n10621 15847\n51280 76872\n96737 100000\n33488 50093\n58165 87186\n2996 4470\n84283 100000\n44758 67042\n30292 45309\n39079 58530\n48464 72633\n64284 96399\n7990 11895\n29881 44692\n4153 6175\n98299 100000\n21514 32177\n5902 8793\n57572 86285\n9392 14006\n5983 8910\n19657 29396\n66061 99086\n36431 54551\n3675 5462\n2589 3876\n93860 100000\n87066 100000\n87421 100000\n91515 100000\n1586 2364\n19436 29062\n61634 92444\n74744 100000\n98656 100000\n33695 50400\n52982 79447\n80759 100000\n3577 5316\n28133 42079\n11553 17262\n44296 66366\n7109 10597\n85833 100000\n73225 100000\n99270 100000\n44994 67398\n79360 100000\n29018 43386\n68964 100000\n13717 20500\n94729 100000\n11724 17531\n83908 100000\n34045 50926\n73172 100000\n65116 97648\n32953 49294\n4249 6320\n83471 100000\n64977 97436\n14349 21436\n90998 100000\n69387 100000\n46949 70363\n74814 100000\n50518 75726\n99934 100000\n87336 100000\n60160 90202\n70154 100000\n13441 20101\n46703 69987\n24353 36455\n66080 99119\n48827 73174\n28620 42792\n95469 100000\n72258 100000\n78051 100000\n87458 100000\n94536 100000\n32012 47901\n23321 34912\n94467 100000\n7333 10935\n3236 4820\n99060 100000\n46654 69910\n40440 60582\n90908 100000\n95933 100000\n42364 63480\n16210 24234\n79070 100000\n48596 72827\n84784 100000\n24562 36775\n93096 100000\n81604 100000\n14975 22379\n90870 100000\n36650 54888\n81461 100000\n83552 100000\n19542 29224\n83082 100000\n57746 86557\n31878 47703\n67399 100000\n40706 61002\n55266 82829\n63203 94794\n52017 77967\n88126 100000\n33279 49778\n9842 14692\n80190 100000\n90081 100000\n88873 100000\n60940 91390\n31294 46820\n59138 88636\n51730 77545\n72865 100000\n53368 80006\n94510 100000\n4884 7262\n79994 100000\n92417 100000\n84760 100000\n22548 33746\n21984 32892\n75498 100000\n55473 83143\n24799 37129\n44237 66287\n49244 73810\n94929 100000\n99623 100000\n24809 37142\n15013 22431\n80031 100000\n77813 100000\n14103 21073\n38878 58233\n59339 88943\n73725 100000\n35079 52480\n3831 5692\n11177 16679\n33118 49544\n99053 100000\n80814 100000\n27890 41712\n18958 28343\n22319 33402\n80236 100000\n3548 5275\n84396 100000\n16403 24514\n75 110\n56889 85274\n61907 92863\n67113 100000\n64622 96904\n93123 100000\n5033 7494\n83991 100000\n94324 100000\n55872 83736\n2290 3425\n52426 78585\n98228 100000\n91982 100000\n9176 13682\n21647 32384\n69190 100000\n33780 50528\n60248 90337\n80600 100000\n19603 29321\n97198 100000\n96292 100000\n26013 38934\n77888 100000\n98886 100000\n99837 100000\n48211 72258\n57934 86841\n14719 21992\n66795 100000\n56448 84604\n44573 66772\n16236 24276\n82039 100000\n26940 40316\n4579 6808\n94375 100000\n85811 100000\n69211 100000\n279 411\n94613 100000\n82387 100000\n59859 89741\n10700 15959\n6963 10381\n54999 82436\n47396 71037\n19041 28468\n24194 36214\n4293 6387\n27240 40763\n87154 100000\n10294 15359\n72712 100000\n84868 100000\n97772 100000\n10391 15513\n59703 89505\n58661 87936\n69151 100000\n49756 74586\n13418 20064\n37012 55427\n78733 100000\n14430 21552\n50670 75947\n13151 19670\n15771 23576\n61306 91951\n32322 48366\n41629 62380\n37375 55982\n29283 43777\n86867 100000\n27980 41844\n82618 100000\n16163 24162\n87434 100000\n84831 100000\n54058 81032\n6340 9455\n60437 90628\n12194 18241\n48208 72253\n10329 15415\n96406 100000\n37918 56792\n22756 34057\n34948 52282\n54369 81502\n43191 64711\n90126 100000\n30255 45253\n14919 22296\n52628 78889\n25902 38765\n58575 87800\n25762 38558\n7565 11278\n44706 66965\n3529 5243\n49554 74286\n44096 66082\n81407 100000\n24968 37370\n50720 76027\n54419 81571\n32444 48542\n81820 100000\n65820 98722\n96319 100000\n45365 67963\n96281 100000\n20694 30947\n48243 72304\n11536 17236\n11115 16585\n92253 100000\n94925 100000\n58898 88285\n15993 23916\n30893 46229\n75567 100000\n87801 100000\n6649 9900\n73040 100000\n43534 65246\n99828 100000\n34379 51445\n58543 87754\n26796 40110\n7779 11592\n84901 100000\n11360 16957\n24488 36662\n29281 43774\n30682 45898\n79986 100000\n71927 100000\n10386 15504\n62603 93889\n791 1185\n76006 100000\n94162 100000\n36356 54440\n95822 100000\n11856 17734\n96028 100000\n57035 85489\n447 667\n86225 100000\n53918 80827\n28524 42654\n18177 27170\n80980 100000\n26122 39101\n595 890\n8277 12316\n12102 18111\n42390 63521\n72418 100000\n49790 74641\n61928 92892\n10376 15488\n15311 22875\n78716 100000\n83087 100000\n72037 100000\n22837 34187\n47508 71205\n28598 42757\n79741 100000\n59661 89440\n91063 100000\n641 962\n12809 19160\n65179 97749\n67386 100000\n25039 37482\n78830 100000\n12657 18928\n91599 100000\n71970 100000\n43646 65409\n43632 65392\n96447 100000\n20291 30329\n14200 21213\n82249 100000\n97500 100000\n70163 100000\n34039 50919\n97028 100000\n42745 64048\n94456 100000\n32841 49120\n41708 62495\n1380 2065\n5564 8288\n67814 100000\n49137 73651\n60670 90985\n34693 51904\n62050 93079\n59063 88529\n46826 70175\n70782 100000\n38004 56919\n59599 89342\n46760 70071\n12522 18722\n71514 100000\n19984 29875\n18476 27616\n97073 100000\n17689 26442\n43820 65671\n62271 93402\n26632 39871\n77898 100000\n50323 75434\n24587 36810\n36926 55298\n24056 36002\n20133 30090\n54007 80958\n28422 42513\n14218 21243\n45180 67681\n27646 41353\n58332 87438\n95132 100000\n23384 35000\n17549 26230\n37857 56696\n49842 74721\n26553 39751\n29687 44400\n56281 84353\n83854 100000\n45102 67562\n2853 4254\n69495 100000\n72248 100000\n93376 100000\n88952 100000\n93750 100000\n32903 49216\n60599 90873\n1536 2293\n45478 68133\n95200 100000\n72759 100000\n66370 99553\n78654 100000\n66351 99524\n78157 100000\n96052 100000\n72035 100000\n59674 89458\n37099 55561\n44300 66373\n6750 10048\n27235 40754\n75733 100000\n10785 16092\n66039 99055\n21901 32771\n67343 100000\n4974 7401\n85487 100000\n15543 23234\n71624 100000\n5937 8843\n56761 85079\n11125 16598\n59591 89328\n50408 75566\n13327 19931\n93605 100000\n7445 11103\n20197 30180\n98940 100000\n94128 100000\n57047 85509\n43427 65086\n25563 38260\n35534 53185\n19882 29728\n41404 62049\n29465 44052\n36475 54617\n35345 52879\n91270 100000\n82704 100000\n28486 42598\n65997 98992\n93215 100000\n6695 9969\n49444 74120\n5918 8817\n68889 100000\n37609 56333\n25276 37831\n76670 100000\n67232 100000\n33954 50793\n82232 100000\n7297 10882\n58519 87723\n5773 8593\n69152 100000\n78129 100000\n86758 100000\n64616 96895\n65929 98884\n17097 25548\n11756 17580\n97656 100000\n89086 100000\n78696 100000\n87512 100000\n80636 100000\n41310 61903\n24260 36310\n21561 32254\n94651 100000\n93390 100000\n29948 44796\n11071 16520\n16425 24545\n3454 5130\n92005 100000\n33774 50519\n62796 94177\n24779 37097\n4012 5959\n86740 100000\n91225 100000\n55082 82557\n17250 25771\n548 822\n19168 28661\n37339 55927\n38369 57472\n84052 100000\n30902 46242\n71711 100000\n57558 86265\n4784 7113\n12588 18822\n53383 80027\n19645 29378\n35412 52982\n61297 91934\n56903 85294\n76723 100000\n57208 85739\n1764 2632\n60187 90242\n63164 94735\n51818 77675\n67203 100000\n14910 22282\n73995 100000\n67630 100000\n31535 47188\n96100 100000\n79955 100000\n93377 100000\n86997 100000\n1560 2326\n34322 51352\n63590 95358\n57258 85814\n32702 48908\n19362 28958\n72091 100000\n70367 100000\n66802 100000\n59169 88685\n4712 7003\n44146 66158\n56170 84186\n59886 89776\n22973 34399\n50532 75747\n64933 97371\n54601 81844\n36510 54667\n5547 8265\n87110 100000\n84880 100000\n32715 48928\n72586 100000\n12073 18070\n82262 100000\n78084 100000\n94573 100000\n55050 82510\n95333 100000\n17967 26857\n8048 11975\n70907 100000\n85228 100000\n9172 13677\n95464 100000\n61734 92604\n47059 70529\n87711 100000\n25562 38258\n53301 79907\n16039 23981\n48391 72524\n59940 89861\n61479 92210\n81297 100000\n43943 65858\n73853 100000\n10167 15168\n51785 77623\n2 3\n68903 100000\n15671 23428\n31836 47642\n98736 100000\n90510 100000\n47401 71044\n83829 100000\n63284 94915\n63152 94715\n90992 100000\n60920 91357\n96758 100000\n95258 100000\n99200 100000\n38355 57450\n63795 95671\n67490 100000\n67146 100000\n55876 83743\n63108 94655\n36119 54082\n59922 89833\n28962 43297\n99695 100000\n70333 100000\n25616 38339\n10638 15870\n72986 100000\n19311 28879\n63243 94855\n91343 100000\n15572 23277\n68623 100000\n85799 100000\n89550 100000\n62895 94325\n38739 58029\n56076 84036\n61289 91922\n11740 17552\n54694 81978\n58484 87666\n61666 92498\n67245 100000\n19043 28471\n74999 100000\n19783 29585\n55424 83068\n90513 100000\n25267 37820\n92234 100000\n26614 39845\n25719 38495\n57037 85492\n69061 100000\n17824 26652\n28586 42739\n38582 57794\n26273 39327\n29063 43457\n9375 13981\n39222 58750\n38864 58212\n90913 100000\n14027 20964\n85008 100000\n50249 75321\n60983 91451\n89733 100000\n71131 100000\n9619 14348\n53810 80669\n31239 46733\n20469 30602\n10842 16174\n94834 100000\n76363 100000\n96109 100000\n81201 100000\n30669 45877\n40187 60198\n34098 51009\n44964 67352\n87670 100000\n46343 69432\n72469 100000\n63278 94908\n1600 2383\n52029 77987\n46096 69060\n53820 80685\n31444 47053\n23674 35435\n97042 100000\n46613 69848\n46533 69723\n21068 31502\n27002 40405\n89984 100000\n6254 9328\n97704 100000\n5216 7770\n87350 100000\n84821 100000\n79090 100000\n77121 100000\n62204 93305\n17386 25983\n25494 38158\n85110 100000\n30671 45880\n40861 61245\n22525 33711\n14263 21309\n45277 67833\n47758 71578\n90118 100000\n74090 100000\n34126 51052\n49752 74580\n35568 53233\n86739 100000\n13209 19755\n37833 56658\n70298 100000\n29848 44642\n94811 100000\n39948 59839\n54375 81512\n96700 100000\n40788 61130\n95033 100000\n67241 100000\n57587 86310\n17613 26321\n65927 98880\n46805 70142\n70592 100000\n7971 11868\n57305 85878\n7854 11702\n96210 100000\n8588 12799\n70665 100000\n53885 80782\n45774 68581\n46207 69227\n80635 100000\n77041 100000\n21862 32711\n40380 60493\n58721 88019\n59057 88522\n64507 96730\n79122 100000\n11560 17272\n94254 100000\n1699 2533\n65740 98607\n82714 100000\n87283 100000\n67499 100000\n39638 59376\n78680 100000\n90722 100000\n96102 100000\n16879 25220\n82190 100000\n83194 100000\n77625 100000\n16174 24179\n69865 100000\n24907 37279\n93348 100000\n88215 100000\n98841 100000\n25751 38538\n44986 67386\n53079 79578\n86474 100000\n50175 75213\n50880 76268\n30436 45520\n96157 100000\n66502 99749\n68716 100000\n79333 100000\n39890 59755\n76618 100000\n38435 57574\n71028 100000\n33522 50142\n37764 56562\n45502 68167\n18738 28017\n41807 62642\n88533 100000\n37727 56508\n12101 18110\n7054 10515\n74163 100000\n96011 100000\n55732 83517\n27860 41669\n9461 14113\n96322 100000\n64735 97072\n1648 2451\n5066 7546\n74910 100000\n15499 23163\n11946 17869\n51739 77560\n2702 4034\n56549 84765\n90179 100000\n10174 15177\n17616 26325\n92261 100000\n53328 79949\n24711 36993\n6095 9082\n71730 100000\n27146 40627\n67733 100000\n35959 53826\n97744 100000\n64437 96630\n38585 57797\n84656 100000\n60836 91235\n64072 96086\n64550 96796\n4186 6226\n89880 100000\n77032 100000\n37645 56388\n8578 12785\n62422 93623\n25099 37571\n76014 100000\n76596 100000\n10439 15590\n97558 100000\n46768 70084\n16088 24057\n62391 93576\n75676 100000\n4030 5985\n24408 36543\n40645 60903\n78335 100000\n42827 64167\n27714 41453\n97398 100000\n79020 100000\n9198 13711\n563 844\n8997 13418\n86738 100000\n71850 100000\n53853 80732\n47582 71318\n73727 100000\n78039 100000\n4450 6619\n83628 100000\n83385 100000\n33947 50784\n89699 100000\n36881 55236\n98350 100000\n96268 100000\n67188 100000\n50793 76140\n4702 6986\n75486 100000\n65265 97880\n42862 64222\n3801 5648\n46092 69054\n43428 65088\n80382 100000\n41394 62032\n12127 18146\n55539 83239\n81711 100000\n61989 92982\n82437 100000\n41124 61639\n74684 100000\n75457 100000\n94047 100000\n82800 100000\n17823 26650\n75709 100000\n99106 100000\n8769 13065\n32758 48994\n62957 94418\n70406 100000\n16244 24288\n79893 100000\n74942 100000\n82881 100000\n35018 52393\n98296 100000\n67859 100000\n9932 14826\n92901 100000\n98749 100000\n50095 75098\n89337 100000\n72199 100000\n62746 94099\n92668 100000\n9531 14218\n77233 100000\n43687 65473\n80723 100000\n28433 42527\n30858 46172\n3998 5938\n61465 92190\n27896 41720\n90696 100000\n64922 97356\n82569 100000\n73885 100000\n66114 99169\n97531 100000\n76061 100000\n96731 100000\n82237 100000\n48859 73220\n19584 29293\n23235 34779\n30179 45141\n69305 100000\n88774 100000\n98854 100000\n3171 4723\n83851 100000\n7755 11560\n61987 92979\n88996 100000\n70619 100000\n41273 61853\n15310 22874\n28272 42288\n43588 65328\n35674 53387\n41420 62072\n11146 16628\n80120 100000\n67285 100000\n6708 9987\n56719 85017\n2831 4225\n70656 100000\n52194 78237\n7719 11513\n37352 55944\n90833 100000\n33664 50355\n94686 100000\n52415 78568\n15230 22755\n31926 47774\n7367 10987\n63423 95117\n88194 100000\n34485 51597\n96461 100000\n89030 100000\n24482 36653\n23144 34640\n71899 100000\n84639 100000\n35897 53735\n23334 34930\n21142 31620\n48680 72952\n12998 19433\n3824 5681\n60162 90204\n72609 100000\n84043 100000\n71463 100000\n33199 49660\n63452 95159\n29574 44221\n92898 100000\n66067 99095\n20832 31152\n37618 56346\n5396 8040\n34147 51082\n72653 100000\n54265 81348\n25214 37743\n27920 41755\n65279 97904\n24328 36415\n61508 92252\n98129 100000\n89366 100000\n21912 32787\n69552 100000\n55057 82520\n73925 100000\n3750 5576\n84443 100000\n37428 56058\n60707 91043\n99647 100000\n17030 25445\n66014 99018\n96651 100000\n2894 4323\n15976 23892\n25388 37999\n71295 100000\n48518 72713\n17326 25889\n47704 71494\n85104 100000\n70413 100000\n45076 67518\n76383 100000\n5217 7771\n25519 38194\n16500 24662\n1574 2349\n7206 10744\n40547 60753\n73035 100000\n73264 100000\n71075 100000\n50904 76307\n92548 100000\n74298 100000\n57599 86329\n18913 28278\n56959 85373\n32311 48351\n89677 100000\n46659 69919\n40791 61136\n43714 65513\n60247 90336\n56342 84446\n85426 100000\n70767 100000\n42859 64219\n34394 51469\n36891 55249\n1826 2728\n70839 100000\n8628 12856\n80024 100000\n30176 45135\n61777 92663\n50420 75581\n66555 99828\n97075 100000\n29189 43639\n25080 37545\n61772 92658\n12457 18626\n39696 59464\n16887 25233\n62163 93246\n66113 99168\n47238 70805\n29340 43864\n51587 77330\n2059 3085\n78111 100000\n85969 100000\n26394 39515\n82070 100000\n18409 27517\n14277 21332\n47262 70838\n58306 87402\n77421 100000\n29895 44713\n72910 100000\n54372 81507\n37298 55862\n46415 69549\n97689 100000\n25835 38670\n68882 100000\n34718 51940\n61247 91855\n75952 100000\n65143 97693\n16758 25039\n91703 100000\n38879 58234\n79301 100000\n31060 46470\n99768 100000\n50723 76032\n12619 18869\n42664 63924\n19712 29475\n64960 97410\n42074 63051\n41307 61900\n74386 100000\n82897 100000\n69421 100000\n78183 100000\n7677 11449\n85359 100000\n73094 100000\n24806 37137\n48710 72995\n57414 86047\n86236 100000\n24100 36064\n70834 100000\n76245 100000\n58318 87422\n9380 13989\n55206 82739\n47723 71520\n52605 78853\n65124 97661\n20983 31375\n16433 24557\n19571 29272\n28040 41937\n49796 74649\n54302 81401\n87877 100000\n98646 100000\n36500 54651\n58535 87744\n46219 69247\n7897 11762\n16428 24550\n49547 74274\n87320 100000\n75950 100000\n90799 100000\n90697 100000\n87329 100000\n13822 20662\n61591 92379\n20560 30739\n86908 100000\n72996 100000\n69279 100000\n63217 94814\n82630 100000\n66056 99079\n43225 64763\n62985 94463\n76406 100000\n31943 47803\n15287 22838\n99463 100000\n10991 16402\n21082 31526\n21073 31510\n93361 100000\n71526 100000\n65307 97952\n76271 100000\n88267 100000\n56961 85375\n84944 100000\n16590 24792\n48434 72585\n6067 9042\n54096 81093\n91790 100000\n68004 100000\n30803 46087\n37239 55771\n19729 29501\n27140 40619\n95421 100000\n65454 98179\n9116 13593\n55508 83193\n63844 95745\n53132 79655\n4513 6713\n18165 27153\n45981 68888\n62 94\n52928 79361\n73325 100000\n30933 46286\n25031 37470\n58619 87868\n51230 76799\n936 1402\n44882 67219\n25818 38644\n93621 100000\n1613 2398\n1069 1602\n69592 100000\n78896 100000\n1127 1687\n76092 100000\n43673 65452\n37401 56019\n96127 100000\n40243 60288\n19746 29528\n36254 54288\n39504 59187\n30486 45596\n72554 100000\n86766 100000\n14990 22400\n4283 6371\n63081 94611\n12305 18410\n94207 100000\n67118 100000\n33399 49957\n2107 3158\n48963 73381\n40438 60580\n93262 100000\n61338 92001\n94192 100000\n5077 7562\n54547 81770\n29229 43701\n14597 21805\n51290 76889\n16518 24689\n93113 100000\n19602 29319\n81583 100000\n17620 26331\n60567 90828\n77440 100000\n67321 100000\n65207 97792\n36847 55190\n76774 100000\n65571 98355\n47166 70694\n62383 93563\n40143 60135\n56726 85029\n90060 100000\n44425 66553\n87146 100000\n74679 100000\n82391 100000\n452 674\n94983 100000\n15602 23322\n31481 47109\n20084 30019\n41716 62506\n61248 91857\n87647 100000\n11998 17951\n9873 14735\n65667 98493\n74508 100000\n83886 100000\n42126 63128\n50548 75772\n2459 3680\n42838 64186\n12451 18616\n13572 20297\n79809 100000\n41325 61926\n60004 89960\n77134 100000\n32801 49059\n28080 41997\n67086 100000\n74461 100000\n7993 11899\n46622 69864\n96459 100000\n71650 100000\n97276 100000\n62939 94393\n36810 55129\n64121 96154\n29928 44765\n10505 15681\n38094 57058\n15772 23577\n7016 10460\n22298 33370\n43033 64490\n49031 73482\n21994 32907\n95364 100000\n15961 23870\n87213 100000\n6122 9124\n83703 100000\n79732 100000\n16902 25255\n38782 58088\n62440 93648\n95460 100000\n52887 79294\n75603 100000\n33384 49937\n12402 18548\n67407 100000\n75268 100000\n74372 100000\n60997 91472\n76708 100000\n78252 100000\n99263 100000\n26810 40132\n39245 58784\n37989 56893\n99047 100000\n25676 38429\n67143 100000\n78005 100000\n24696 36970\n17494 26147\n80718 100000\n91353 100000\n82556 100000\n26634 39873\n25373 37976\n48557 72771\n39515 59205\n51821 77679\n3034 4523\n74157 100000\n62009 93014\n69647 100000\n37495 56163\n12618 18867\n28655 42843\n17865 26718\n24268 36322\n12038 18014\n12433 18593\n63213 94809\n52911 79332\n30716 45950\n42521 63713\n6101 9092\n58828 88189\n62094 93144\n77953 100000\n15811 23636\n86315 100000\n26593 39807\n87474 100000\n67234 100000\n50131 75146\n30068 44974\n46722 70016\n72877 100000\n91437 100000\n3315 4931\n49682 74480\n42804 64132\n78517 100000\n24684 36953\n42852 64209\n87703 100000\n42901 64282\n93029 100000\n45970 68868\n58184 87214\n42701 63979\n76638 100000\n45401 68016\n14779 22077\n49778 74622\n37954 56839\n79952 100000\n2245 3357\n31934 47787\n1150 1718\n38001 56916\n70388 100000\n50157 75186\n719 1073\n56042 83989\n13577 20304\n56215 84256\n4933 7338\n94714 100000\n78853 100000\n54850 82215\n64268 96373\n44452 66594\n59976 89915\n35649 53350\n60974 91438\n80800 100000\n62296 93442\n56098 84074\n90063 100000\n49942 74870\n71168 100000\n46889 70269\n93174 100000\n49447 74125\n8741 13023\n15827 23664\n79369 100000\n12728 19035\n60547 90798\n50376 75517\n79226 100000\n74025 100000\n54904 82292\n71824 100000\n51401 77056\n75046 100000\n55454 83114\n79937 100000\n41825 62672\n80412 100000\n98178 100000\n94631 100000\n8653 12894\n1839 2749\n19956 29836\n56373 84491\n44286 66352\n63677 95485\n76672 100000\n37449 56091\n4115 6115\n50831 76196\n98242 100000\n1706 2544\n50885 76277\n8496 12655\n46192 69205\n36285 54335\n16669 24906\n99603 100000\n29294 43795\n83973 100000\n25801 38619\n49399 74050\n24647 36901\n41428 62085\n1584 2362\n27551 41212\n19525 29202\n65673 98504\n60877 91292\n6763 10065\n54621 81867\n55871 83735\n70636 100000\n69525 100000\n10707 15972\n31609 47296\n57157 85665\n81723 100000\n15611 23335\n43882 65767\n38064 57010\n50603 75843\n7922 11799\n88972 100000\n99700 100000\n1827 2729\n28329 42372\n10335 15423\n96207 100000\n67325 100000\n16954 25334\n81907 100000\n49414 74072\n65719 98570\n82203 100000\n3901 5795\n94032 100000\n85221 100000\n90190 100000\n92391 100000\n23621 35353\n46303 69377\n8884 13248\n73771 100000\n71476 100000\n33167 49616\n18892 28247\n94371 100000\n43473 65155\n23480 35146\n55176 82696\n20477 30612\n71603 100000\n67573 100000\n61531 92288\n13904 20783\n94579 100000\n51281 76873\n46524 69714\n97795 100000\n72105 100000\n8625 12853\n81781 100000\n9941 14840\n93261 100000\n60034 90008\n87244 100000\n10961 16356\n6846 10200\n8089 12037\n74454 100000\n94234 100000\n18773 28067\n78662 100000\n66510 99759\n99164 100000\n7856 11705\n40313 60392\n49658 74441\n54633 81886\n1232 1843\n47672 71447\n2026 3034\n76854 100000\n27638 41344\n79059 100000\n39982 59893\n86793 100000\n88181 100000\n15823 23657\n12241 18314\n74783 100000\n54961 82381\n40419 60551\n67930 100000\n31846 47654\n66392 99586\n76930 100000\n79763 100000\n25265 37817\n47737 71545\n83374 100000\n98188 100000\n43658 65426\n60102 90113\n73838 100000\n12167 18204\n66929 100000\n37035 55464\n60047 90030\n35673 53386\n38833 58164\n34766 52007\n46774 70094\n61244 91850\n15384 22984\n45726 68505\n12124 18142\n68605 100000\n68423 100000\n81742 100000\n77374 100000\n68042 100000\n40749 61070\n81243 100000\n23762 35557\n35876 53701\n13473 20147\n42818 64154\n91300 100000\n15367 22957\n49858 74743\n91945 100000\n44928 67295\n35708 53437\n1809 2703\n97632 100000\n64382 96546\n78172 100000\n13749 20552\n30863 46182\n7066 10531\n6817 10157\n44495 66655\n96584 100000\n14623 21846\n20304 30349\n45659 68404\n47090 70576\n39789 59603\n88075 100000\n49111 73612\n61688 92532\n80090 100000\n35582 53254\n88032 100000\n2595 3885\n58316 87418\n81736 100000\n98139 100000\n32750 48983\n99391 100000\n7487 11164\n94249 100000\n68910 100000\n42424 63572\n71747 100000\n86576 100000\n11713 17516\n71110 100000\n23246 34796\n11079 16532\n43990 65923\n83253 100000\n88576 100000\n86770 100000\n6974 10398\n95493 100000\n75286 100000\n8955 13354\n75016 100000\n88074 100000\n29786 44552\n68282 100000\n33858 50646\n67594 100000\n72321 100000\n79815 100000\n92501 100000\n12989 19422\n88163 100000\n44921 67282\n4142 6158\n73741 100000\n78136 100000\n12894 19283\n44556 66744\n34598 51763\n67945 100000\n90857 100000\n9535 14225\n3563 5296\n43737 65547\n22859 34222\n23397 35020\n94424 100000\n21170 31658\n29042 43421\n40769 61101\n3608 5359\n54196 81245\n34078 50977\n16636 24858\n60409 90583\n26010 38931\n60473 90683\n44757 67040\n15074 22520\n76076 100000\n88536 100000\n36237 54262\n5280 7862\n8758 13049\n954 1427\n97779 100000\n79385 100000\n20835 31155\n131 189\n66656 99981\n86026 100000\n65441 98160\n42417 63562\n57854 86713\n44958 67342\n43201 64726\n3102 4622\n29476 44069\n47352 70975\n86737 100000\n70353 100000\n79140 100000\n10975 16376\n9046 13493\n22862 34226\n21042 31465\n69623 100000\n97171 100000\n44701 66959\n17974 26869\n74423 100000\n27584 41260\n2247 3361\n92049 100000\n84754 100000\n72649 100000\n27374 40955\n40424 60561\n79287 100000\n91365 100000\n43426 65084\n70506 100000\n58095 87081\n18247 27275\n66650 99972\n72507 100000\n4608 6848\n4431 6591\n50346 75472\n36974 55370\n10270 15321\n64346 96488\n16865 25197\n39963 59865\n57745 86555\n81803 100000\n79710 100000\n48418 72563\n31804 47592\n74581 100000\n8485 12638\n48465 72635\n8694 12952\n57887 86765\n49821 74687\n61933 92900\n69319 100000\n49174 73708\n75106 100000\n77642 100000\n14704 21967\n23990 35902\n95141 100000\n10668 15914\n49421 74083\n41272 61852\n52877 79280\n76742 100000\n46801 70134\n88050 100000\n85842 100000\n70793 100000\n18953 28337\n32135 48087\n5226 7784\n69924 100000\n33649 50330\n44878 67214\n51316 76925\n12518 18715\n87549 100000\n70297 100000\n60911 91345\n29797 44568\n56670 84940\n23425 35060\n4655 6922\n56815 85159\n9201 13716\n47222 70779\n78889 100000\n95974 100000\n89027 100000\n47989 71930\n61816 92719\n98279 100000\n99349 100000\n9857 14713\n95753 100000\n60981 91449\n68795 100000\n97716 100000\n19919 29781\n17346 25922\n59546 89259\n51512 77213\n65636 98451\n1711 2553\n10595 15813\n72859 100000\n68554 100000\n30440 45526\n48060 72036\n3007 4484\n4824 7172\n93199 100000\n74668 100000\n36239 54265\n41750 62559\n58038 86995\n61768 92651\n92817 100000\n78843 100000\n56514 84711\n8547 12739\n5309 7904\n74672 100000\n93312 100000\n42229 63278\n4290 6384\n18971 28361\n29668 44371\n17923 26796\n76278 100000\n96522 100000\n68121 100000\n70817 100000\n57782 86607\n28467 42575\n43530 65241\n3787 5629\n99538 100000\n58177 87205\n80200 100000\n30195 45164\n53487 80178\n48339 72445\n57654 86416\n14493 21651\n35320 52838\n87276 100000\n97325 100000\n39451 59108\n28796 43059\n99215 100000\n2009 3010\n70695 100000\n72707 100000\n75363 100000\n87198 100000\n4097 6082\n66018 99023\n83386 100000\n19159 28648\n25003 37426\n52701 79004\n14016 20948\n5055 7531\n26676 39936\n60460 90662\n93119 100000\n69723 100000\n45142 67625\n6725 10015\n24847 37194\n73752 100000\n63005 94492\n9126 13608\n55069 82537\n17587 26284\n70932 100000\n28593 42749\n91486 100000\n68055 100000\n51641 77407\n11394 17007\n26970 40363\n24643 36895\n99187 100000\n84688 100000\n84673 100000\n49178 73714\n31189 46655\n15294 22851\n10741 16022\n67555 100000\n46995 70433\n63833 95728\n10969 16368\n44658 66892\n31110 46541\n69710 100000\n9324 13901\n78719 100000\n21211 31722\n95368 100000\n34587 51749\n86356 100000\n10133 15125\n36156 54134\n62154 93231\n28305 42335\n26379 39494\n62088 93135\n48515 72710\n96925 100000\n15399 23007\n36017 53913\n22449 33599\n89651 100000\n77035 100000\n45746 68536\n91477 100000\n13844 20694\n71781 100000\n1773 2646\n60007 89964\n1602 2387\n50622 75869\n49080 73562\n28171 42133\n51999 77944\n43067 64538\n81965 100000\n35403 52968\n41548 62265\n32307 48347\n73718 100000\n64400 96576\n56995 85425\n38150 57139\n75507 100000\n30129 45068\n95512 100000\n65121 97655\n30567 45718\n63787 95660\n40194 60211\n37084 55539\n92537 100000\n42663 63923\n76463 100000\n63925 95872\n67465 100000\n95932 100000\n5349 7967\n87808 100000\n12871 19247\n74291 100000\n12427 18585\n31109 46540\n74210 100000\n29817 44600\n69484 100000\n30755 46011\n33786 50539\n83896 100000\n68442 100000\n63286 94918\n24865 37218\n80863 100000\n1287 1931\n50740 76059\n39382 59001\n47366 70996\n33076 49479\n50017 74986\n95029 100000\n99162 100000\n71580 100000\n71441 100000\n35062 52458\n39060 58502\n52744 79073\n63026 94525\n32652 48834\n61927 92890\n25926 38803\n80623 100000\n57457 86115\n15524 23204\n97940 100000\n47836 71700\n80771 100000\n78033 100000\n15208 22720\n39520 59214\n6947 10355\n24539 36744\n10160 15159\n3227 4806\n7107 10595\n83401 100000\n5175 7710\n3754 5583\n90768 100000\n2183 3270\n87796 100000\n4825 7173\n19275 28825\n93867 100000\n55157 82662\n55565 83275\n9015 13447\n31921 47766\n94771 100000\n83351 100000\n9587 14305\n86350 100000\n54945 82356\n2884 4306\n47668 71439\n17345 25920\n73108 100000\n91781 100000\n32266 48284\n31712 47455\n68600 100000\n98263 100000\n44518 66687\n26790 40099\n13739 20535\n49626 74395\n5128 7635\n45237 67770\n29477 44071\n82349 100000\n81494 100000\n36269 54309\n75376 100000\n14581 21782\n97917 100000\n57492 86170\n58941 88350\n37938 56818\n5158 7680\n87832 100000\n16970 25359\n43251 64806\n87108 100000\n76746 100000\n28177 42142\n32721 48937\n67120 100000\n54631 81884\n39071 58517\n61616 92421\n53522 80231\n30201 45174\n26934 40307\n90069 100000\n2136 3198\n14386 21488\n86981 100000\n11540 17241\n65590 98384\n54627 81877\n28644 42826\n57182 85698\n20239 30242\n14765 22057\n92915 100000\n9137 13626\n84655 100000\n14187 21196\n42839 64187\n23489 35160\n42702 63981\n28004 41881\n3762 5594\n52798 79160\n93697 100000\n20036 29948\n75886 100000\n10078 15044\n20531 30697\n20195 30177\n63972 95941\n22927 34329\n9526 14210\n58632 87887\n96356 100000\n30364 45413\n1710 2551\n52853 79242\n77103 100000\n9826 14668\n92896 100000\n54811 82157\n28967 43304\n77681 100000\n88882 100000\n567 850\n96229 100000\n66559 99834\n96105 100000\n83250 100000\n81366 100000\n5095 7587\n25965 38864\n96716 100000\n38898 58261\n85983 100000\n94168 100000\n45292 67855\n63141 94700\n93743 100000\n79894 100000\n22080 33036\n13111 19607\n76320 100000\n32795 49049\n74998 100000\n84695 100000\n38893 58254\n99028 100000\n87444 100000\n14279 21336\n30802 46085\n39297 58862\n3672 5459\n32137 48089\n34069 50963\n20614 30824\n39296 58861\n77446 100000\n47912 71817\n76554 100000\n91139 100000\n21501 32158\n4989 7424\n5691 8466\n18616 27823\n77170 100000\n99171 100000\n11884 17778\n42955 64372\n75172 100000\n9197 13710\n66095 99143\n28996 43350\n43566 65294\n80252 100000\n62699 94032\n34869 52161\n64837 97231\n59267 88839\n75123 100000\n65118 97651\n90712 100000\n20573 30760\n24792 37117\n73993 100000\n23934 35821\n73384 100000\n94894 100000\n50513 75716\n30367 45418\n33690 50394\n92378 100000\n87258 100000\n75273 100000\n46956 70375\n43536 65249\n43860 65733\n26159 39161\n81317 100000\n26406 39533\n14645 21880\n1973 2955\n36906 55270\n56681 84957\n22580 33795\n58795 88135\n21642 32375\n11872 17761\n4235 6299\n21291 31847\n86712 100000\n25345 37936\n91850 100000\n53551 80274\n75837 100000\n42658 63915\n46200 69217\n5536 8249\n39509 59196\n17978 26876\n4442 6608\n3839 5703\n83387 100000\n66709 100000\n51628 77388\n95948 100000\n66254 99376\n79623 100000\n75081 100000\n65958 98930\n39082 58535\n87795 100000\n54244 81315\n54711 82006\n545 816\n59461 89126\n24668 36930\n27809 41593\n16481 24633\n68000 100000\n72780 100000\n44592 66798\n9064 13515\n5589 8322\n77948 100000\n32656 48840\n33800 50559\n70607 100000\n25380 37988\n92763 100000\n89242 100000\n17986 26889\n62600 93883\n99345 100000\n68371 100000\n28235 42231\n69998 100000\n47795 71635\n82031 100000\n55296 82876\n52077 78059\n21437 32061\n96917 100000\n77570 100000\n89048 100000\n18073 27015\n59829 89699\n86262 100000\n36461 54597\n79494 100000\n51426 77091\n39053 58490\n22225 33254\n22131 33117\n15406 23018\n62064 93098\n3341 4966\n70707 100000\n23807 35628\n26836 40166\n55931 83830\n18901 28258\n72004 100000\n61147 91698\n63193 94777\n71599 100000\n34834 52110\n36477 54619\n96821 100000\n26172 39176\n87047 100000\n50855 76232\n51599 77349\n90968 100000\n95280 100000\n30606 45782\n21286 31839\n79686 100000\n15531 23214\n22550 33749\n20936 31306\n67297 100000\n43522 65227\n50847 76219\n51440 77109\n23503 35181\n25041 37485\n82566 100000\n92590 100000\n93041 100000\n58851 88219\n7324 10924\n97566 100000\n51560 77293\n45826 68654\n96473 100000\n19674 29420\n81896 100000\n94938 100000\n42211 63250\n32522 48652\n9512 14188\n69027 100000\n30092 45009\n75053 100000\n30572 45726\n20008 29907\n73898 100000\n42957 64375\n9624 14356\n10491 15661\n12388 18529\n43390 65026\n59645 89414\n23713 35488\n48519 72714\n73744 100000\n64039 96036\n84676 100000\n63520 95258\n45414 68036\n35316 52832\n15775 23583\n91014 100000\n43143 64647\n805 1204\n48755 73062\n16374 24471\n36383 54483\n10245 15285\n29869 44673\n90590 100000\n43577 65309\n41774 62595\n21818 32641\n62262 93392\n78520 100000\n81690 100000\n62723 94068\n5006 7448\n79625 100000\n66037 99051\n45796 68613\n5004 7445\n64266 96370\n3383 5030\n58703 87997\n45702 68470\n31860 47676\n73951 100000\n59030 88480\n59480 89157\n91617 100000\n60257 90353\n15210 22724\n50881 76270\n38771 58074\n6241 9309\n6595 9823\n10469 15632\n41639 62394\n68552 100000\n95415 100000\n34382 51450\n91873 100000\n7885 11746\n99229 100000\n87272 100000\n15863 23715\n86786 100000\n75455 100000\n17340 25912\n64102 96128\n46186 69198\n98793 100000\n31275 46789\n99732 100000\n39591 59311\n36337 54409\n71994 100000\n53235 79810\n35698 53422\n63867 95782\n93858 100000\n21996 32909\n95062 100000\n4799 7135\n70663 100000\n55672 83427\n34066 50958\n67748 100000\n16319 24394\n92400 100000\n99443 100000\n78724 100000\n81089 100000\n13027 19477\n28027 41914\n63557 95312\n12110 18124\n53097 79604\n33252 49738\n2356 3526\n17041 25463\n63617 95395\n57897 86783\n18917 28283\n5278 7859\n77067 100000\n80553 100000\n21166 31653\n24449 36603\n30365 45415\n93567 100000\n82293 100000\n54958 82378\n67430 100000\n35934 53788\n12979 19408\n45944 68829\n39720 59499\n56397 84531\n37912 56782\n2034 3047\n42460 63628\n54009 80961\n79130 100000\n91322 100000\n58722 88021\n28511 42634\n40486 60650\n91273 100000\n81838 100000\n52227 78286\n63785 95656\n47360 70988\n86929 100000\n73694 100000\n86897 100000\n46401 69527\n36271 54312\n85945 100000\n74885 100000\n60290 90403\n29123 43538\n49038 73494\n91302 100000\n1882 2818\n51246 76823\n74180 100000\n47716 71512\n62735 94085\n20367 30450\n63107 94653\n69239 100000\n84823 100000\n29754 44501\n23298 34880\n24899 37270\n96938 100000\n72640 100000\n95359 100000\n4806 7147\n22926 34327\n25248 37791\n61910 92867\n68824 100000\n93943 100000\n37121 55594\n39774 59580\n97872 100000\n62694 94025\n72265 100000\n35957 53823\n48058 72034\n48355 72470\n40363 60469\n44438 66574\n50293 75390\n30074 44982\n78238 100000\n36710 54978\n53359 79992\n85866 100000\n67564 100000\n91765 100000\n67809 100000\n34656 51845\n469 700\n37790 56599\n47026 70480\n71166 100000\n97963 100000\n23555 35257\n85888 100000\n37779 56583\n12866 19241\n78437 100000\n8855 13202\n22380 33500\n11586 17313\n59851 89729\n65991 98983\n37497 56166\n86240 100000\n60376 90534\n47119 70622\n82835 100000\n86903 100000\n29515 44132\n72520 100000\n50665 75938\n42094 63082\n77318 100000\n23896 35764\n19016 28435\n12555 18771\n13590 20321\n329 483\n53688 80487\n113 166\n39492 59166\n39017 58436\n63978 95950\n81684 100000\n82709 100000\n86230 100000\n97196 100000\n41309 61902\n25713 38486\n80696 100000\n7948 11834\n48937 73344\n90961 100000\n8975 13385\n79896 100000\n23603 35328\n4657 6925\n69803 100000\n98837 100000\n10125 15112\n97680 100000\n5273 7852\n3112 4637\n73706 100000\n88819 100000\n28070 41981\n33183 49637\n15508 23175\n70498 100000\n18226 27243\n68416 100000\n95397 100000\n86178 100000\n27495 41131\n5462 8140\n64848 97246\n39381 59000\n99389 100000\n83335 100000\n49644 74422\n77232 100000\n49274 73855\n72978 100000\n70435 100000\n54173 81210\n48085 72075\n55918 83810\n46090 69051\n95960 100000\n2443 3655\n8070 12007\n43242 64791\n59323 88919\n303 446\n11693 17483\n41008 61463\n68223 100000\n8618 12843\n41035 61506\n62325 93481\n43949 65865\n66798 100000\n75450 100000\n99341 100000\n80506 100000\n98926 100000\n95945 100000\n32984 49333\n65550 98324\n30171 45128\n61081 91602\n61887 92833\n97233 100000\n44798 67098\n38860 58206\n90636 100000\n36217 54234\n20627 30846\n31416 47004\n37209 55724\n63595 95365\n57235 85777\n97559 100000\n28335 42383\n47294 70887\n8553 12747\n31458 47071\n13585 20314\n39452 59109\n22736 34030\n8715 12984\n46852 70215\n6024 8975\n69467 100000\n51801 77650\n20586 30783\n84418 100000\n33357 49893\n92937 100000\n69271 100000\n52643 78912\n10713 15982\n45507 68174\n40688 60972\n4849 7211\n66927 100000\n75040 100000\n48502 72692\n59619 89375\n56384 84510\n66651 99973\n75513 100000\n2222 3323\n60633 90927\n14930 22312\n80528 100000\n17622 26334\n97050 100000\n38759 58057\n32853 49136\n62140 93210\n97324 100000\n50490 75682\n10648 15883\n14484 21637\n87968 100000\n24031 35964\n96940 100000\n5107 7605\n12666 18941\n56145 84150\n30758 46016\n29095 43499\n82440 100000\n24931 37313\n79170 100000\n96994 100000\n55902 83784\n58081 87061\n42380 63507\n6092 9078\n30751 46005\n81431 100000\n91745 100000\n49594 74347\n86218 100000\n39811 59638\n38400 57521\n1025 1534\n16818 25126\n56422 84566\n97870 100000\n87281 100000\n69178 100000\n52520 78727\n47283 70869\n14896 22262\n66488 99727\n66857 100000\n52488 78682\n65737 98602\n72312 100000\n93785 100000\n6068 9043\n38867 58216\n44704 66963\n8234 12257\n99662 100000\n90412 100000\n90816 100000\n25632 38362\n29180 43626\n45858 68703\n71653 100000\n82097 100000\n67309 100000\n5775 8595\n35165 52610\n66172 99258\n69326 100000\n59580 89310\n43081 64560\n22085 33043\n14539 21719\n22912 34304\n52594 78836\n58993 88426\n25463 38114\n96686 100000\n17683 26433\n45575 68273\n93635 100000\n87339 100000\n12639 18901\n94952 100000\n41185 61733\n27096 40548\n46043 68985\n55964 83878\n14710 21977\n73664 100000\n70632 100000\n54327 81434\n88272 100000\n25290 37850\n37370 55973\n89587 100000\n7218 10765\n55903 83785\n74445 100000\n70015 100000\n66238 99354\n93302 100000\n50978 76421\n71302 100000\n70078 100000\n57311 85888\n79230 100000\n26264 39317\n22881 34256\n81575 100000\n26671 39929\n15516 23189\n96663 100000\n37980 56879\n93817 100000\n99551 100000\n3586 5330\n34744 51976\n80563 100000\n6170 9206\n27512 41158\n11224 16755\n30954 46320\n99219 100000\n122 178\n32867 49159\n94216 100000\n14175 21181\n30818 46109\n54006 80957\n21332 31907\n99548 100000\n68996 100000\n694 1040\n16931 25300\n52963 79416\n4261 6337\n89864 100000\n60111 90127\n1110 1663\n65699 98546\n97013 100000\n37885 56740\n48541 72748\n28317 42351\n19579 29286\n91305 100000\n57161 85670\n80151 100000\n7235 10788\n11928 17840\n22206 33227\n7193 10725\n60698 91029\n12440 18601\n83016 100000\n77175 100000\n46803 70138\n69522 100000\n36647 54883\n37886 56742\n17839 26676\n10825 16147\n92946 100000\n21098 31550\n30434 45518\n22025 32954\n75478 100000\n61753 92630\n82708 100000\n17780 26576\n63777 95642\n53402 80054\n5757 8569\n20440 30561\n5084 7571\n99070 100000\n65748 98619\n69249 100000\n18237 27259\n29377 43922\n77975 100000\n95632 100000\n7604 11338\n52524 78733\n20786 31087\n22212 33235\n84171 100000\n79559 100000\n79882 100000\n52835 79216\n28903 43211\n78093 100000\n46151 69148\n72899 100000\n90498 100000\n38853 58193\n16668 24905\n34000 50861\n77839 100000\n3530 5245\n53480 80168\n7360 10977\n25606 38326\n17619 26329\n28836 43115\n40069 60022\n70075 100000\n17854 26701\n42560 63773\n86270 100000\n93510 100000\n56706 84994\n38934 58307\n40019 59949\n68286 100000\n82261 100000\n93541 100000\n78057 100000\n8762 13055\n8092 12041\n40398 60521\n89577 100000\n36957 55344\n18878 28227\n29105 43514\n82667 100000\n71420 100000\n84347 100000\n18162 27148\n74794 100000\n9888 14759\n34621 51796\n70645 100000\n10584 15797\n49151 73672\n80859 100000\n4577 6805\n21711 32477\n44411 66532\n83455 100000\n23127 34617\n38522 57706\n85789 100000\n7665 11429\n56356 84467\n11186 16693\n58442 87604\n10909 16275\n4653 6918\n48365 72487\n65999 98996\n55778 83587\n8251 12281\n82201 100000\n44842 67159\n53897 80798\n18219 27232\n68872 100000\n19307 28872\n77159 100000\n41340 61948\n94430 100000\n22977 34403\n78742 100000\n50200 75248\n61670 92505\n90095 100000\n4200 6246\n81313 100000\n34557 51701\n53389 80035\n3257 4853\n19849 29683\n58292 87379\n90872 100000\n45715 68490\n63792 95668\n68484 100000\n1758 2624\n12967 19390\n47544 71263\n48022 71978\n54809 82154\n88569 100000\n53748 80578\n43600 65348\n39002 58413\n65370 98052\n84019 100000\n22183 33191\n95230 100000\n75571 100000\n7396 11032\n90061 100000\n18375 27470\n86708 100000\n18440 27562\n76374 100000\n74106 100000\n27139 40617\n9436 14073\n71818 100000\n70189 100000\n68778 100000\n91616 100000\n28064 41971\n39616 59349\n32071 47987\n618 923\n30722 45961\n88898 100000\n97776 100000\n47041 70503\n50438 75605\n45636 68369\n30421 45499\n57949 86864\n22984 34415\n52441 78609\n33072 49473\n56454 84614\n29721 44452\n20879 31220\n30884 46215\n33608 50268\n24114 36085\n10195 15211\n60108 90122\n69323 100000\n53031 79519\n91520 100000\n69237 100000\n41167 61704\n20769 31064\n14997 22410\n65003 97476\n35258 52751\n41396 62036\n12976 19403\n89807 100000\n85149 100000\n24010 35932\n44227 66273\n62026 93039\n69777 100000\n73426 100000\n94801 100000\n18831 28152\n94092 100000\n693 1039\n72540 100000\n64368 96525\n30754 46009\n56270 84335\n79840 100000\n32465 48574\n27789 41563\n63684 95493\n98970 100000\n2795 4167\n66276 99409\n82755 100000\n6050 9016\n96095 100000\n2797 4171\n46454 69612\n48944 73354\n36822 55150\n13494 20180\n47943 71865\n61706 92560\n53716 80526\n62099 93151\n93543 100000\n86105 100000\n40322 60407\n73124 100000\n65732 98594\n23929 35813\n45092 67545\n1326 1985\n90521 100000\n29593 44252\n60954 91410\n64923 97358\n19665 29407\n11821 17677\n16986 25383\n85554 100000\n64060 96068\n20899 31252\n68242 100000\n4394 6533\n4427 6584\n4696 6978\n48525 72723\n99373 100000\n48359 72476\n59445 89102\n9921 14810\n76761 100000\n250 371\n78331 100000\n32783 49031\n52467 78651\n90115 100000\n43423 65080\n39088 58544\n59609 89359\n8746 13029\n59633 89399\n906 1355\n67041 100000\n57270 85831\n95179 100000\n44189 66222\n19739 29517\n36687 54946\n19017 28436\n56447 84602\n52107 78101\n96845 100000\n40134 60120\n55234 82782\n2246 3359\n64124 96159\n11460 17113\n85830 100000\n16494 24654\n69977 100000\n54449 81617\n29525 44147\n75724 100000\n5716 8507\n23866 35719\n15020 22443\n53030 79518\n84363 100000\n65726 98583\n32583 48735\n10208 15230\n35950 53813\n18220 27233\n72474 100000\n28599 42758\n45761 68560\n76624 100000\n7663 11427\n12043 18023\n36298 54353\n15564 23265\n16786 25080\n88601 100000\n18741 28022\n63479 95199\n89605 100000\n16775 25064\n27467 41090\n35194 52655\n9730 14518\n65784 98671\n442 660\n82943 100000\n30663 45868\n64807 97184\n81495 100000\n76922 100000\n3989 5925\n16798 25096\n96869 100000\n10275 15327\n43752 65572\n1208 1808\n43789 65623\n48042 72011\n87700 100000\n39602 59331\n43093 64576\n40626 60875\n47557 71282\n75027 100000\n69498 100000\n87436 100000\n58313 87414\n43362 64978\n40292 60360\n41421 62073\n95570 100000\n11262 16814\n99906 100000\n89460 100000\n47657 71424\n13907 20787\n86447 100000\n64483 96694\n35724 53463\n64537 96778\n20624 30841\n84526 100000\n55965 83879\n14309 21377\n71355 100000\n14401 21513\n30627 45816\n34798 52058\n36092 54036\n23635 35375\n97802 100000\n79487 100000\n28408 42492\n9298 13863\n43705 65500\n98652 100000\n30386 45447\n52695 78995\n88653 100000\n32694 48898\n14357 21446\n93500 100000\n62539 93792\n51272 76861\n49729 74547\n7527 11225\n18106 27067\n35859 53675\n96130 100000\n57753 86565\n50687 75975\n4177 6214\n55452 83112\n6262 9338\n23707 35481\n51553 77282\n32170 48139\n43768 65593\n24490 36664\n48041 72009\n42378 63503\n74896 100000\n37441 56079\n93382 100000\n34541 51681\n86148 100000\n26366 39475\n88310 100000\n72194 100000\n15738 23525\n4686 6965\n38605 57826\n66019 99025\n72497 100000\n39462 59123\n49329 73941\n69095 100000\n4107 6100\n20243 30249\n37785 56592\n10310 15382\n61277 91903\n32711 48920\n33501 50112\n14306 21373\n73458 100000\n92386 100000\n10860 16201\n71287 100000\n48441 72596\n21549 32236\n99052 100000\n23941 35832\n54277 81365\n98096 100000\n57797 86628\n39692 59458\n34423 51512\n95341 100000\n8722 12997\n30339 45372\n85886 100000\n9621 14352\n78283 100000\n93988 100000\n55413 83052\n11730 17538\n39403 59032\n94181 100000\n14502 21666\n88288 100000\n53964 80897\n7738 11538\n75129 100000\n12882 19266\n10427 15573\n49424 74088\n17881 26741\n59261 88829\n49709 74516\n3299 4911\n29569 44213\n14060 21010\n69043 100000\n4949 7361\n91936 100000\n66318 99476\n5794 8626\n4831 7183\n99419 100000\n64154 96205\n12275 18371\n54706 81999\n20419 30530\n46618 69857\n76484 100000\n9663 14413\n30904 46244\n13581 20309\n41095 61593\n70271 100000\n46004 68924\n41212 61771\n70575 100000\n29800 44573\n28898 43204\n8569 12772\n13889 20759\n73689 100000\n4582 6813\n24461 36624\n41483 62169\n21431 32051\n81397 100000\n9749 14547\n85256 100000\n43029 64485\n2822 4209\n66653 99976\n21804 32619\n56233 84282\n7421 11069\n36751 55043\n97701 100000\n33454 50039\n11955 17883\n3503 5205\n57326 85913\n56788 85121\n96134 100000\n67524 100000\n83500 100000\n36342 54418\n93472 100000\n42218 63260\n62319 93474\n56228 84274\n4026 5980\n60323 90455\n22976 34402\n30397 45462\n38811 58131\n60629 90920\n21271 31817\n96241 100000\n99758 100000\n49079 73561\n1363 2037\n9335 13919\n20460 30591\n24134 36117\n44688 66941\n76990 100000\n33503 50116\n5733 8535\n77109 100000\n24901 37272\n52515 78719\n2586 3873\n48604 72841\n92225 100000\n31579 47255\n69349 100000\n17364 25952\n45968 68865\n22866 34232\n30749 46003\n35641 53337\n40364 60470\n15340 22918\n14398 21508\n81365 100000\n47251 70821\n45315 67889\n69265 100000\n25315 37888\n92364 100000\n54858 82227\n89233 100000\n34439 51530\n14138 21124\n39035 58462\n44083 66062\n8568 12771\n65092 97612\n33948 50785\n70103 100000\n82738 100000\n75763 100000\n33964 50809\n58047 87009\n33985 50837\n41690 62468\n91650 100000\n70227 100000\n17168 25650\n8231 12253\n53064 79558\n80634 100000\n88981 100000\n21870 32724\n15937 23833\n16600 24806\n6428 9580\n20300 30343\n79351 100000\n47397 71038\n8696 12955\n26274 39329\n8806 13128\n68619 100000\n98194 100000\n65271 97890\n65783 98669\n59492 89175\n94958 100000\n17028 25443\n61971 92959\n65141 97690\n58419 87570\n8307 12364\n18407 27515\n40233 60273\n54853 82220\n99115 100000\n82407 100000\n28255 42262\n25447 38089\n72968 100000\n390 574\n59227 88774\n47185 70725\n25956 38852\n22901 34288\n31890 47719\n53826 80695\n5641 8397\n74859 100000\n44927 67293\n69481 100000\n66629 99940\n2217 3316\n57254 85807\n22567 33776\n82369 100000\n63668 95469\n80083 100000\n65070 97575\n12030 18000\n33548 50180\n9219 13744\n83550 100000\n88417 100000\n38830 58160\n43885 65772\n24323 36407\n81014 100000\n25475 38131\n83467 100000\n44510 66678\n88316 100000\n49114 73618\n20 31\n7652 11411\n73318 100000\n30013 44893\n51729 77544\n60616 90901\n74067 100000\n92565 100000\n45500 68163\n49939 74866\n94800 100000\n66455 99678\n81608 100000\n78197 100000\n61305 91949\n40281 60343\n74984 100000\n70625 100000\n19463 29104\n34081 50982\n78242 100000\n68246 100000\n19414 29030\n9550 14249\n75963 100000\n76003 100000\n23633 35372\n16883 25227\n61382 92067\n51828 77687\n84207 100000\n33445 50024\n79485 100000\n66245 99364\n10890 16252\n42660 63917\n83741 100000\n23219 34755\n27605 41294\n49944 74873\n9838 14687\n99786 100000\n89219 100000\n92599 100000\n55885 83755\n85890 100000\n9640 14379\n67183 100000\n30466 45567\n74177 100000\n37006 55419\n31923 47769\n80008 100000\n3689 5484\n41494 62184\n28250 42254\n18844 28174\n23506 35186\n69241 100000\n85071 100000\n44023 65970\n26213 39237\n92557 100000\n48666 72933\n86557 100000\n15192 22695\n29307 43814\n24305 36377\n2096 3143\n79434 100000\n8316 12378\n92271 100000\n7877 11736\n92522 100000\n284 418\n31106 46536\n95242 100000\n8895 13262\n92013 100000\n62956 94417\n58920 88314\n8371 12463\n48439 72593\n44468 66613\n97804 100000\n5898 8787\n77705 100000\n48609 72848\n61968 92955\n10229 15262\n72621 100000\n72806 100000\n70601 100000\n87651 100000\n84024 100000\n86316 100000\n81341 100000\n23052 34510\n48987 73417\n69032 100000\n31220 46701\n99426 100000\n77040 100000\n15275 22821\n75695 100000\n9726 14511\n58665 87941\n93315 100000\n49331 73944\n25095 37564\n1612 2397\n29200 43653\n77127 100000\n7443 11100\n82528 100000\n30908 46249\n23554 35256\n47929 71842\n5886 8769\n73054 100000\n77695 100000\n610 911\n81268 100000\n18356 27441\n83927 100000\n27803 41583\n55630 83368\n65725 98581\n53461 80141\n73594 100000\n44792 67088\n39156 58651\n67700 100000\n27255 40783\n15201 22709\n52719 79032\n51060 76543\n669 1000\n10554 15752\n36638 54871\n8878 13240\n92540 100000\n54278 81367\n364 533\n99147 100000\n76863 100000\n92223 100000\n34677 51877\n1659 2469\n640 960\n89939 100000\n93937 100000\n73485 100000\n88577 100000\n58290 87375\n20401 30505\n29879 44688\n70553 100000\n26039 38969\n18485 27631\n96338 100000\n85105 100000\n65746 98616\n88439 100000\n77854 100000\n2682 4007\n12805 19153\n22766 34074\n1986 2977\n59277 88854\n31425 47021\n64516 96745\n85818 100000\n44314 66396\n95699 100000\n86552 100000\n27453 41071\n53803 80661\n7254 10817\n10370 15478\n1126 1686\n41911 62803\n75599 100000\n46950 70365\n12822 19178\n83722 100000\n71044 100000\n46543 69739\n96876 100000\n62799 94183\n52897 79312\n29533 44159\n93685 100000\n3590 5335\n5374 8005\n42070 63046\n74086 100000\n57071 85543\n9134 13622\n82851 100000\n95545 100000\n20566 30751\n96194 100000\n15182 22680\n75352 100000\n5614 8359\n2455 3675\n90655 100000\n55636 83377\n75510 100000\n8036 11959\n42699 63977\n58434 87592\n53455 80134\n88319 100000\n21021 31433\n8921 13305\n5127 7634\n847 1269\n9635 14372\n54162 81193\n46522 69711\n79096 100000\n78774 100000\n78321 100000\n29690 44406\n40656 60922\n1236 1848\n76026 100000\n74443 100000\n86613 100000\n26861 40200\n31972 47845\n84543 100000\n44427 66556\n81449 100000\n94474 100000\n56274 84340\n40851 61230\n58646 87910\n27100 40554\n76851 100000\n3914 5811\n30591 45757\n75634 100000\n539 806\n35121 52544\n1974 2957\n21819 32642\n40108 60082\n68963 100000\n44340 66435\n82945 100000\n15539 23227\n86245 100000\n11069 16518\n25156 37651\n52328 78435\n22980 34408\n14073 21030\n31927 47776\n67189 100000\n91463 100000\n69300 100000\n32818 49084\n72202 100000\n18587 27783\n94219 100000\n96017 100000\n18388 27487\n47473 71154\n39572 59285\n11238 16775\n62051 93080\n81807 100000\n85964 100000\n22588 33807\n22339 33435\n47612 71362\n40811 61169\n71486 100000\n61223 91812\n15131 22606\n41112 61620\n10893 16256\n62372 93550\n47892 71786\n59951 89879\n69759 100000\n20111 30058\n19351 28942\n33565 50206\n12642 18905\n47774 71605\n5926 8828\n54954 82371\n9534 14223\n40114 60092\n79712 100000\n23824 35657\n97376 100000\n67842 100000\n26246 39290\n18659 27893\n94461 100000\n60357 90506\n75124 100000\n17738 26517\n74564 100000\n18976 28369\n79192 100000\n4700 6984\n73503 100000\n24273 36328\n22117 33095\n52889 79298\n53567 80300\n87164 100000\n64967 97421\n88877 100000\n41902 62788\n86001 100000\n83068 100000\n91804 100000\n94041 100000\n25876 38730\n65031 97517\n43669 65445\n7772 11583\n7121 10617\n38672 57923\n10200 15217\n55868 83731\n95177 100000\n12715 19014\n43591 65334\n48815 73156\n34949 52284\n6297 9391\n29447 44028\n15668 23425\n72298 100000\n8246 12275\n10281 15336\n87220 100000\n61603 92399\n19428 29052\n93336 100000\n46352 69447\n88556 100000\n24767 37076\n58800 88144\n72760 100000\n6713 9995\n67446 100000\n85302 100000\n57596 86324\n97939 100000\n57085 85559\n19278 28830\n28446 42547\n39998 59916\n2000 2997\n99830 100000\n60703 91037\n10045 14996\n98247 100000\n26277 39334\n87259 100000\n44198 66235\n90353 100000\n48468 72639\n58395 87535\n25471 38126\n69745 100000\n76897 100000\n44105 66094\n91555 100000\n56994 85424\n36827 55158\n48164 72195\n47244 70812\n78163 100000\n15552 23247\n98092 100000\n98294 100000\n18935 28308\n34486 51599\n12420 18575\n6865 10233\n39735 59523\n71688 100000\n56958 85372\n59773 89612\n88706 100000\n36644 54879\n94693 100000\n17422 26040\n88467 100000\n4231 6294\n57121 85612\n89447 100000\n62245 93368\n95954 100000\n30326 45354\n62925 94374\n40462 60616\n30377 45432\n82122 100000\n8589 12800\n42453 63619\n78386 100000\n14415 21532\n10186 15196\n95606 100000\n80159 100000\n8179 12173\n4639 6898\n52126 78130\n48031 71992\n9146 13637\n46351 69446\n61798 92694\n85675 100000\n31714 47457\n69052 100000\n78926 100000\n18256 27289\n96053 100000\n28834 43113\n45116 67584\n45506 68173\n84735 100000\n47385 71023\n33436 50014\n9549 14247\n84168 100000\n17175 25662\n75666 100000\n25745 38529\n83907 100000\n76198 100000\n92535 100000\n73395 100000\n49981 74931\n30368 45420\n60704 91038\n92997 100000\n91581 100000\n12845 19211\n49257 73830\n50430 75593\n37301 55867\n70941 100000\n24883 37246\n98090 100000\n39339 58929\n12220 18279\n81053 100000\n58267 87339\n17621 26332\n40603 60840\n59613 89366\n99451 100000\n75671 100000\n41424 62078\n6367 9491\n28914 43227\n1246 1863\n635 952\n12406 18554\n67747 100000\n67801 100000\n3659 5439\n83613 100000\n75617 100000\n25887 38744\n28307 42337\n86243 100000\n86059 100000\n98121 100000\n20944 31318\n45104 67565\n10799 16110\n99537 100000\n77947 100000\n2185 3272\n34669 51863\n92165 100000\n1937 2896\n35077 52477\n60695 91024\n1845 2758\n62392 93577\n25402 38020\n33588 50241\n54414 81563\n93003 100000\n74986 100000\n25246 37787\n86159 100000\n97659 100000\n19551 29238\n24800 37131\n1195 1786\n79603 100000\n49165 73693\n82734 100000\n71976 100000\n19040 28467\n25098 37569\n60275 90380\n22575 33788\n7718 11512\n77357 100000\n10771 16068\n23156 34656\n24320 36403\n6475 9651\n53418 80075\n99827 100000\n19055 28491\n14813 22130\n19651 29389\n55864 83725\n98301 100000\n47129 70640\n54981 82410\n10510 15687\n72764 100000\n678 1016\n15490 23149\n64632 96919\n2740 4086\n32943 49277\n23343 34941\n26350 39448\n67963 100000\n26248 39294\n17561 26247\n72030 100000\n15030 22460\n43912 65815\n23160 34662\n9923 14814\n63938 95892\n44088 66069\n98519 100000\n31996 47881\n23136 34630\n61233 91830\n93110 100000\n38133 57112\n32059 47970\n92810 100000\n96021 100000\n99571 100000\n81179 100000\n66494 99736\n43680 65463\n25541 38224\n358 523\n66849 100000\n16627 24846\n59830 89700\n63128 94681\n66070 99101\n91950 100000\n37386 56000\n89124 100000\n79470 100000\n78030 100000\n67791 100000\n51980 77921\n61530 92287\n33902 50713\n44952 67332\n68804 100000\n38947 58327\n89517 100000\n78486 100000\n89344 100000\n19552 29240\n92578 100000\n81876 100000\n93615 100000\n84055 100000\n4534 6741\n1852 2769\n72921 100000\n94000 100000\n13125 19628\n82978 100000\n73083 100000\n80660 100000\n12160 18193\n33486 50090\n31299 46827\n12430 18589\n45308 67880\n35215 52688\n37459 56111\n28497 42614\n56597 84830\n39445 59098\n42015 62961\n88992 100000\n58590 87824\n66759 100000\n39920 59798\n8009 11923\n35877 53703\n65675 98508\n36293 54346\n50425 75587\n96650 100000\n94106 100000\n88065 100000\n7947 11832\n54881 82259\n2913 4348\n65091 97610\n47677 71455\n68748 100000\n39624 59359\n49543 74269\n21916 32793\n96666 100000\n86970 100000\n28742 42979\n94741 100000\n10735 16013\n75483 100000\n47577 71311\n5277 7858\n13554 20267\n14924 22303\n29719 44449\n97562 100000\n10086 15055\n68662 100000\n34921 52243\n36773 55073\n62828 94228\n79429 100000\n51682 77471\n59775 89616\n64087 96107\n32154 48114\n82804 100000\n73055 100000\n59103 88587\n36985 55387\n56805 85147\n92219 100000\n7010 10452\n36423 54540\n54848 82212\n34272 51276\n41082 61575\n44649 66877\n12416 18567\n33369 49914\n38135 57115\n97510 100000\n36223 54241\n40344 60441\n82597 100000\n25683 38441\n21030 31445\n55118 82606\n2325 3482\n35449 53045\n94857 100000\n39290 58854\n45426 68053\n62299 93445\n20692 30944\n63930 95881\n6347 9463\n94135 100000\n56413 84553\n19433 29058\n76381 100000\n712 1064\n47136 70649\n66231 99345\n20802 31109\n10271 15322\n12223 18283\n53726 80544\n3515 5222\n2470 3696\n53292 79893\n51834 77698\n77231 100000\n85081 100000\n77221 100000\n37812 56627\n23829 35665\n4589 6824\n38180 57180\n95255 100000\n79001 100000\n21299 31857\n43405 65051\n30059 44959\n21614 32331\n19522 29196\n50442 75609\n18905 28264\n36817 55141\n59783 89628\n87184 100000\n28204 42184\n33446 50026\n6610 9843\n74219 100000\n16892 25240\n65018 97498\n10384 15501\n93265 100000\n77857 100000\n77758 100000\n33983 50835\n74069 100000\n50263 75345\n81819 100000\n1189 1778\n88655 100000\n36416 54529\n9493 14160\n24367 36479\n26054 38989\n55037 82492\n17788 26591\n65950 98918\n44913 67270\n27631 41333\n2817 4200\n29456 44042\n60230 90311\n80062 100000\n6215 9269\n85517 100000\n76273 100000\n44327 66414\n90267 100000\n14529 21703\n54934 82338\n84361 100000\n70570 100000\n25686 38446\n97851 100000\n62974 94446\n16587 24787\n2186 3273\n9656 14404\n62848 94258\n81829 100000\n28589 42742\n4785 7114\n34343 51383\n16881 25224\n15260 22800\n48074 72059\n80699 100000\n5893 8779\n470 701\n13886 20756\n23662 35416\n14426 21547\n79151 100000\n47429 71087\n38195 57201\n92206 100000\n27398 40993\n52418 78571\n55317 82907\n4159 6185\n34700 51915\n13307 19898\n74499 100000\n2835 4229\n88029 100000\n46448 69604\n82924 100000\n51915 77820\n82459 100000\n97989 100000\n63047 94556\n35443 53034\n72976 100000\n49436 74107\n36308 54367\n73128 100000\n14462 21600\n33629 50302\n49656 74437\n21713 32480\n50036 75014\n48578 72803\n93816 100000\n54768 82092\n16337 24417\n26785 40092\n20449 30574\n83968 100000\n5143 7656\n98522 100000\n36586 54789\n84464 100000\n39491 59164\n45074 67515\n70709 100000\n35296 52805\n45390 68000\n61120 91654\n32269 48287\n82990 100000\n48591 72820\n29826 44613\n95859 100000\n49855 74738\n86684 100000\n88863 100000\n19353 28946\n37669 56423\n16581 24779\n72873 100000\n36608 54823\n79510 100000\n54910 82301\n67383 100000\n6247 9317\n48587 72813\n75720 100000\n12076 18073\n32768 49008\n65139 97687\n46939 70345\n81291 100000\n40444 60588\n54489 81677\n31141 46582\n40974 61412\n46008 68930\n7467 11133\n40730 61041\n58315 87417\n70511 100000\n84255 100000\n35722 53460\n78842 100000\n33303 49814\n64564 96817\n2010 3011\n95983 100000\n7017 10461\n39676 59432\n22468 33627\n10696 15953\n45720 68497\n36609 54824\n98639 100000\n30080 44990\n76686 100000\n56184 84207\n59561 89282\n13069 19545\n8045 11970\n7672 11442\n79391 100000\n41473 62154\n58620 87870\n84294 100000\n82072 100000\n51101 76598\n15966 23878\n83534 100000\n48767 73081\n21110 31568\n43072 64547\n71310 100000\n61861 92791\n19406 29021\n64766 97119\n5849 8711\n68857 100000\n93341 100000\n39898 59766\n29936 44777\n39199 58717\n54832 82189\n53332 79953\n93415 100000\n28891 43195\n45048 67469\n40780 61118\n61155 91711\n53231 79802\n20988 31381\n77853 100000\n86869 100000\n23013 34455\n22513 33693\n6916 10312\n14518 21687\n91559 100000\n38580 57791\n6621 9860\n7112 10602\n45928 68803\n1279 1916\n14485 21638\n4983 7416\n58988 88419\n88025 100000\n46967 70393\n35586 53261\n88743 100000\n54264 81346\n84685 100000\n34260 51257\n26063 39003\n16534 24714\n19349 28938\n21519 32185\n84060 100000\n55387 83010\n70564 100000\n45972 68872\n24130 36110\n78965 100000\n89363 100000\n60213 90286\n91165 100000\n12582 18811\n9742 14536\n59687 89479\n65780 98665\n10865 16209\n82847 100000\n48358 72475\n65354 98026\n50697 75991\n62058 93091\n93032 100000\n42182 63210\n13328 19932\n81500 100000\n83496 100000\n94329 100000\n86661 100000\n6911 10304\n65815 98715\n25228 37762\n46994 70432\n84734 100000\n28396 42472\n48329 72431\n85937 100000\n46111 69084\n96523 100000\n22214 33238\n34770 52015\n98219 100000\n97452 100000\n28646 42829\n49452 74132\n35834 53637\n60638 90935\n56344 84449\n16140 24131\n96050 100000\n87406 100000\n35675 53389\n66457 99682\n3225 4803\n42238 63294\n37013 55428\n95190 100000\n91040 100000\n90243 100000\n96140 100000\n66891 100000\n96252 100000\n95440 100000\n15097 22554\n47092 70579\n26599 39817\n41676 62449\n27372 40952\n82253 100000\n97969 100000\n55523 83217\n98833 100000\n43127 64625\n57360 85966\n20109 30055\n1300 1947\n36845 55186\n99578 100000\n12716 19015\n93398 100000\n83078 100000\n89866 100000\n31643 47345\n65305 97948\n82236 100000\n49088 73572\n62419 93619\n80654 100000\n74665 100000\n39069 58514\n52290 78378\n28237 42235\n2941 4392\n54578 81811\n68338 100000\n28624 42798\n94369 100000\n31930 47780\n3297 4908\n60558 90814\n71233 100000\n2425 3629\n48573 72796\n19122 28595\n75341 100000\n84066 100000\n1043 1562\n24807 37138\n30506 45625\n44675 66919\n39023 58443\n28864 43160\n75163 100000\n13538 20241\n27343 40910\n26084 39039\n85468 100000\n92728 100000\n11127 16601\n9081 13540\n23904 35776\n97244 100000\n93335 100000\n19322 28895\n90002 100000\n4855 7218\n29882 44694\n86412 100000\n5296 7886\n31592 47272\n17868 26723\n45984 68892\n36876 55231\n36943 55322\n3679 5469\n45619 68343\n45493 68152\n47178 70712\n21368 31956\n64758 97105\n89581 100000\n68729 100000\n7399 11036\n74851 100000\n48197 72239\n41842 62700\n33478 50077\n53550 80272\n2710 4046\n53451 80128\n61695 92543\n33751 50488\n62919 94365\n20003 29901\n41380 62009\n31608 47295\n30569 45721\n28193 42166\n78391 100000\n80126 100000\n79861 100000\n65166 97728\n43187 64705\n8319 12384\n48281 72364\n12439 18599\n62511 93757\n23591 35308\n81805 100000\n75069 100000\n57573 86287\n52860 79254\n27628 41329\n70483 100000\n87797 100000\n8709 12975\n17624 26338\n83909 100000\n52952 79397\n84635 100000\n61589 92376\n93208 100000\n20357 30433\n87318 100000\n98721 100000\n10260 15305\n49439 74112\n14830 22158\n43785 65618\n33728 50452\n86324 100000\n55058 82521\n28037 41932\n89947 100000\n62771 94138\n55990 83915\n50494 75687\n18198 27200\n698 1044\n86393 100000\n98974 100000\n30938 46294\n34266 51266\n42430 63582\n66708 100000\n3871 5749\n98378 100000\n89197 100000\n87176 100000\n30905 46246\n61484 92218\n79244 100000\n35792 53569\n81283 100000\n94987 100000\n94319 100000\n2469 3695\n51043 76516\n90182 100000\n51942 77858\n12212 18268\n59822 89688\n14752 22039\n59314 88907\n50199 75246\n72905 100000\n65008 97484\n15781 23593\n60271 90374\n69164 100000\n61076 91594\n28111 42046\n21573 32269\n7006 10446\n55969 83885\n93146 100000\n26698 39966\n45513 68182\n34784 52035\n46463 69625\n49994 74950\n28688 42896\n27253 40781\n25327 37908\n75114 100000\n3096 4614\n98355 100000\n71006 100000\n39858 59708\n61916 92874\n52469 78654\n25391 38003\n76083 100000\n84144 100000\n89076 100000\n25658 38402\n82436 100000\n34279 51287\n64048 96051\n53319 79935\n57656 86419\n73462 100000\n97977 100000\n20533 30700\n61174 91737\n727 1085\n13208 19754\n82188 100000\n37530 56216\n30257 45255\n60432 90620\n38187 57191\n82639 100000\n89954 100000\n42832 64176\n14523 21695\n34287 51301\n13660 20415\n47698 71486\n23933 35819\n97218 100000\n28102 42032\n40818 61179\n86371 100000\n28992 43345\n64058 96065\n85375 100000\n6417 9565\n8052 11981\n89228 100000\n28295 42320\n86591 100000\n56273 84339\n74475 100000\n19 29\n91425 100000\n78275 100000\n51952 77876\n62833 94234\n38803 58119\n69173 100000\n96376 100000\n65238 97837\n97956 100000\n35566 53230\n29415 43979\n32459 48565\n96480 100000\n17020 25430\n63139 94696\n69231 100000\n26832 40160\n51867 77745\n69981 100000\n90674 100000\n34898 52208\n34221 51192\n23407 35035\n10266 15315\n89719 100000\n16103 24077\n90735 100000\n40426 60563\n14771 22066\n28757 43000\n40785 61126\n90305 100000\n1531 2284\n51778 77613\n13145 19661\n24098 36062\n27119 40588\n22618 33853\n40260 60312\n16709 24967\n3939 5851\n2752 4104\n77673 100000\n53493 80188\n5797 8630\n35498 53126\n52009 77957\n30777 46043\n46997 70436\n59714 89519\n77860 100000\n6368 9492\n71079 100000\n9341 13927\n65923 98872\n66642 99960\n74156 100000\n74474 100000\n47362 70990\n20047 29963\n98862 100000\n97581 100000\n95496 100000\n62270 93401\n31830 47634\n92343 100000\n97081 100000\n82351 100000\n94730 100000\n29946 44793\n94945 100000\n63964 95929\n6732 10024\n68120 100000\n26316 39394\n1756 2622\n43642 65405\n58897 88283\n52591 78833\n36805 55122\n29226 43696\n54416 81566\n57408 86037\n41244 61812\n14675 21923\n3258 4855\n2408 3607\n87393 100000\n83622 100000\n43691 65480\n32128 48075\n40661 60930\n99782 100000\n95942 100000\n89210 100000\n64089 96110\n34038 50918\n9277 13831\n30644 45840\n82298 100000\n26908 40271\n78820 100000\n54773 82099\n10435 15585\n47321 70927\n92600 100000\n39265 58816\n87618 100000\n65987 98976\n15994 23917\n31752 47514\n65055 97551\n14395 21504\n49993 74949\n17036 25455\n84256 100000\n49534 74254\n78501 100000\n32954 49295\n74348 100000\n15321 22890\n80923 100000\n29910 44737\n27084 40529\n71157 100000\n21796 32605\n33831 50605\n56562 84783\n67095 100000\n21552 32241\n66333 99497\n83695 100000\n18915 28280\n18987 28386\n76468 100000\n75414 100000\n52660 78943\n10581 15793\n10585 15798\n66076 99112\n88543 100000\n34892 52198\n8734 13014\n45475 68128\n95730 100000\n84767 100000\n35896 53733\n38226 57249\n11564 17278\n32206 48195\n27927 41765\n52945 79388\n5180 7718\n45900 68763\n2721 4060\n87163 100000\n45816 68639\n5828 8678\n94008 100000\n1139 1702\n55702 83470\n30839 46143\n77158 100000\n42896 64275\n36962 55353\n71547 100000\n96489 100000\n68684 100000\n42341 63443\n58628 87881\n36253 54287\n91160 100000\n82069 100000\n94666 100000\n58369 87493\n14558 21749\n15919 23803\n29214 43677\n10119 15104\n44738 67012\n41303 61895\n81491 100000\n11382 16989\n48672 72944\n60798 91179\n89920 100000\n65680 98515\n17654 26387\n13697 20470\n55829 83668\n10792 16102\n72611 100000\n26376 39489\n56144 84149\n91831 100000\n94418 100000\n96151 100000\n62802 94188\n72549 100000\n86881 100000\n6672 9934\n30108 45034\n79575 100000\n66768 100000\n53766 80605\n82432 100000\n65934 98892\n85535 100000\n65337 98001\n11934 17849\n43289 64868\n37023 55444\n73198 100000\n37914 56785\n92460 100000\n14158 21156\n69810 100000\n65706 98555\n18964 28352\n7332 10934\n81794 100000\n99536 100000\n28609 42774\n38152 57142\n15350 22933\n41223 61784\n60302 90422\n53369 80008\n90633 100000\n39659 59408\n76677 100000\n58705 88000\n85454 100000\n46850 70211\n83397 100000\n64528 96763\n7599 11331\n49348 73971\n71066 100000\n63616 95394\n65535 98302\n90805 100000\n13743 20542\n34547 51687\n25918 38790\n53410 80065\n83362 100000\n74570 100000\n34247 51236\n4073 6047\n60024 89992\n92178 100000\n13056 19524\n63194 94779\n85477 100000\n9891 14765\n8932 13322\n74651 100000\n8103 12060\n55676 83434\n39942 59830\n34257 51253\n67438 100000\n77162 100000\n89412 100000\n9950 14852\n1131 1693\n91503 100000\n87649 100000\n32972 49317\n71950 100000\n28457 42563\n75854 100000\n38604 57824\n56370 84488\n39798 59618\n87451 100000\n2364 3537\n65071 97576\n99282 100000\n55240 82793\n98861 100000\n44817 67120\n40694 60981\n43790 65625\n7358 10973\n3830 5690\n25998 38912\n22728 34018\n28323 42361\n6433 9586\n90400 100000\n86172 100000\n44641 66865\n49520 74235\n32564 48708\n93495 100000\n77259 100000\n73671 100000\n21716 32486\n93418 100000\n88021 100000\n8163 12149\n3168 4720\n40001 59922\n28899 43206\n95627 100000\n27317 40871\n755 1129\n12856 19226\n66769 100000\n20824 31140\n4919 7316\n2843 4240\n8583 12793\n13519 20216\n85357 100000\n20784 31084\n2938 4388\n68460 100000\n24395 36521\n73204 100000\n29590 44247\n16678 24919\n14908 22279\n5579 8307\n52821 79194\n96628 100000\n70047 100000\n7250 10810\n60448 90644\n83657 100000\n63470 95188\n65412 98117\n64225 96310\n36157 54136\n72664 100000\n80842 100000\n19476 29124\n69532 100000\n9117 13595\n34361 51414\n50023 74994\n25790 38603\n17094 25542\n52784 79139\n59034 88487\n84316 100000\n4619 6864\n2170 3250\n20830 31149\n59637 89403\n75374 100000\n70471 100000\n86294 100000\n79330 100000\n51228 76795\n79202 100000\n54060 81036\n98831 100000\n52145 78159\n36357 54441\n61635 92446\n40393 60512\n64677 96988\n4984 7418\n14877 22234\n55038 82494\n89126 100000\n50051 75036\n22854 34214\n36760 55055\n66003 99002\n16629 24849\n5437 8102\n51170 76706\n23190 34708\n70614 100000\n87169 100000\n7987 11890\n90358 100000\n92148 100000\n50589 75825\n80210 100000\n38401 57523\n86760 100000\n95901 100000\n63145 94707\n21868 32722\n44218 66260\n81566 100000\n97269 100000\n39346 58941\n5339 7950\n35384 52942\n91338 100000\n54749 82065\n33366 49909\n4199 6245\n81324 100000\n96302 100000\n1420 2127\n28314 42346\n87174 100000\n15011 22429\n78999 100000\n59751 89573\n20144 30106\n61506 92250\n29520 44140\n3927 5830\n39093 58551\n71159 100000\n46936 70340\n16046 23991\n44101 66090\n68901 100000\n96781 100000\n32755 48990\n29699 44421\n14812 22129\n19176 28675\n1280 1918\n78289 100000\n83716 100000\n97462 100000\n51159 76688\n7433 11085\n70335 100000\n89681 100000\n97250 100000\n18182 27178\n56744 85055\n99686 100000\n92813 100000\n53526 80235\n23946 35838\n25491 38154\n36627 54855\n27716 41455\n9546 14243\n15108 22571\n45721 68498\n1109 1661\n51220 76781\n53910 80814\n90591 100000\n76481 100000\n19827 29652\n8220 12235\n4701 6985\n31232 46721\n1204 1802\n82108 100000\n16100 24074\n63580 95344\n76698 100000\n97499 100000\n68628 100000\n95337 100000\n89327 100000\n78758 100000\n19845 29676\n56684 84961\n20943 31316\n61902 92853\n35967 53838\n99307 100000\n77836 100000\n67611 100000\n99042 100000\n37229 55756\n51265 76851\n4542 6753\n26106 39073\n72626 100000\n79058 100000\n11948 17872\n62178 93267\n62883 94308\n95154 100000\n74193 100000\n77153 100000\n12359 18482\n68456 100000\n28798 43063\n35751 53507\n67222 100000\n11667 17440\n37731 56513\n23961 35859\n48861 73223\n97883 100000\n42476 63648\n52386 78521\n59354 88969\n27490 41124\n99861 100000\n57250 85801\n7870 11725\n6511 9704\n7243 10800\n82360 100000\n63124 94676\n92699 100000\n9088 13552\n98058 100000\n74356 100000\n34708 51928\n80263 100000\n81485 100000\n99000 100000\n20199 30184\n64769 97124\n28124 42065\n93669 100000\n42624 63864\n4666 6938\n13237 19794\n75644 100000\n36481 54624\n23277 34846\n88308 100000\n56025 83964\n62523 93770\n68767 100000\n88311 100000\n84602 100000\n36069 53997\n60342 90485\n49593 74345\n8376 12470\n71855 100000\n25826 38656\n83077 100000\n65296 97932\n18103 27062\n45185 67690\n9414 14040\n72735 100000\n38214 57230\n49988 74942\n78229 100000\n8954 13353\n10536 15723\n69635 100000\n62824 94221\n90502 100000\n68648 100000\n30234 45223\n81353 100000\n2397 3589\n87577 100000\n75779 100000\n26372 39484\n7666 11430\n11231 16766\n55353 82960\n82903 100000\n74119 100000\n53226 79794\n42310 63398\n94752 100000\n62979 94453\n14850 22187\n78002 100000\n489 728\n65309 97956\n92467 100000\n70464 100000\n61290 91923\n88913 100000\n98919 100000\n94350 100000\n17376 25968\n12688 18975\n62825 94223\n91897 100000\n82774 100000\n449 669\n83660 100000\n52338 78448\n92192 100000\n35201 52666\n64212 96287\n68480 100000\n22303 33378\n25093 37561\n74062 100000\n42332 63429\n37150 55636\n31533 47186\n13421 20070\n55402 83033\n68952 100000\n35886 53717\n48036 72001\n33937 50770\n52616 78871\n72465 100000\n93704 100000\n95780 100000\n65272 97892\n25584 38294\n54308 81409\n63652 95445\n86289 100000\n65977 98962\n2661 3980\n28330 42374\n85309 100000\n43609 65359\n10318 15395\n77033 100000\n92581 100000\n10309 15381\n32944 49279\n42589 63812\n76197 100000\n14139 21125\n23182 34696\n74155 100000\n13112 19608\n44895 67243\n58257 87324\n76312 100000\n68506 100000\n29655 44349\n24028 35960\n56211 84250\n28542 42677\n62510 93755\n71435 100000\n61494 92232\n51829 77689\n23684 35449\n36248 54279\n99134 100000\n10760 16050\n70789 100000\n65072 97577\n69147 100000\n79852 100000\n19415 29031\n69882 100000\n19805 29617\n2622 3924\n81215 100000\n9363 13964\n24382 36501\n43006 64446\n44943 67318\n25232 37767\n14912 22284\n33917 50739\n69954 100000\n39570 59281\n50946 76371\n57728 86533\n45394 68006\n48236 72294\n76216 100000\n61680 92520\n27303 40849\n55547 83248\n62102 93156\n63283 94914\n36300 54356\n16202 24223\n77798 100000\n7223 10773\n81954 100000\n41441 62105\n5887 8771\n48127 72139\n5694 8470\n15243 22776\n83472 100000\n91067 100000\n45479 68135\n97597 100000\n17934 26812\n56102 84080\n38882 58239\n16084 24051\n93932 100000\n65273 97894\n68476 100000\n61783 92672\n5640 8396\n26526 39705\n74250 100000\n93515 100000\n35370 52918\n47465 71142\n75989 100000\n26534 39718\n96438 100000\n64626 96908\n55828 83667\n12506 18699\n4352 6472\n9980 14896\n12409 18559\n20576 30765\n78657 100000\n52450 78621\n69680 100000\n54759 82079\n27830 41627\n76401 100000\n38494 57663\n77862 100000\n50860 76239\n20213 30202\n51369 77008\n40775 61110\n55526 83221\n34397 51473\n42449 63612\n92826 100000\n40485 60648\n26089 39047\n29726 44459\n58052 87018\n55908 83792\n24389 36510\n75401 100000\n87972 100000\n94423 100000\n28917 43231\n64918 97348\n47252 70823\n20064 29989\n94914 100000\n54859 82229\n17184 25674\n83256 100000\n53782 80627\n30089 45004\n9781 14593\n25054 37503\n68757 100000\n4544 6756\n16657 24889\n62538 93791\n14080 21039\n26936 40309\n15702 23471\n98383 100000\n40702 60995\n59566 89289\n73075 100000\n35338 52867\n34158 51100\n26917 40283\n22498 33673\n31689 47415\n3985 5918\n3617 5372\n30190 45158\n73977 100000\n67810 100000\n64422 96607\n4337 6450\n42208 63247\n57394 86015\n59253 88815\n36320 54384\n35646 53346\n69428 100000\n39795 59613\n49092 73579\n91655 100000\n48867 73233\n13736 20529\n12855 19225\n13771 20589\n97237 100000\n36662 54905\n52279 78362\n32684 48885\n66959 100000\n63572 95332\n35226 52703\n83322 100000\n45201 67714\n65581 98370\n84490 100000\n42917 64313\n10217 15245\n71612 100000\n41927 62828\n32036 47937\n2896 4325\n5466 8146\n91462 100000\n7814 11639\n25511 38183\n74627 100000\n68195 100000\n66162 99240\n65884 98816\n46311 69388\n41105 61609\n94120 100000\n66552 99825\n49276 73858\n74671 100000\n33995 50853\n25445 38085\n339 499\n91012 100000\n63729 95563\n39538 59240\n40573 60797\n14425 21545\n69677 100000\n63952 95912\n10782 16086\n88982 100000\n85366 100000\n68864 100000\n19775 29575\n59100 88583\n17925 26799\n82204 100000\n8423 12537\n32246 48254\n53647 80425\n73379 100000\n51161 76691\n12205 18258\n22991 34423\n48593 72822\n43755 65575\n71628 100000\n44687 66940\n35920 53769\n86918 100000\n11984 17928\n20413 30523\n4187 6228\n28640 42820\n39656 59403\n60741 91092\n59457 89120\n18577 27768\n74137 100000\n29365 43903\n28336 42385\n27867 41678\n26748 40040\n74767 100000\n32808 49070\n20676 30921\n61407 92106\n33508 50123\n71392 100000\n32699 48905\n75298 100000\n37792 56602\n21435 32058\n5382 8015\n89678 100000\n39269 58822\n78908 100000\n56027 83966\n27598 41283\n47421 71074\n33890 50695\n55226 82769\n80290 100000\n75535 100000\n48113 72118\n74643 100000\n70218 100000\n7846 11688\n29822 44608\n40179 60186\n35631 53325\n91967 100000\n87385 100000\n79253 100000\n72661 100000\n35734 53482\n63879 95799\n72725 100000\n53178 79721\n90301 100000\n75038 100000\n88060 100000\n40551 60759\n47249 70818\n64951 97396\n33908 50725\n68149 100000\n42293 63375\n46860 70227\n13576 20302\n25601 38318\n16357 24448\n63886 95811\n56428 84575\n78320 100000\n67436 100000\n69559 100000\n73413 100000\n59926 89840\n2762 4115\n8796 13110\n13780 20600\n54497 81690\n78344 100000\n89247 100000\n53247 79830\n86554 100000\n51242 76817\n29129 43548\n79915 100000\n9052 13501\n59848 89724\n14556 21745\n8417 12526\n53104 79616\n82728 100000\n28247 42250\n13855 20707\n59764 89598\n88560 100000\n41882 62759\n58272 87345\n21202 31710\n99332 100000\n33414 49977\n10023 14966\n11710 17511\n83314 100000\n25657 38400\n77851 100000\n78080 100000\n41209 61767\n9028 13467\n23109 34591\n76701 100000\n73196 100000\n89079 100000\n37966 56857\n98825 100000\n96501 100000\n33402 49960\n24851 37200\n24723 37009\n7503 11189\n31520 47165\n5622 8370\n4064 6033\n67364 100000\n79558 100000\n22160 33159\n70480 100000\n93467 100000\n22552 33752\n87212 100000\n9935 14830\n72423 100000\n42464 63632\n87779 100000\n96230 100000\n37514 56192\n34242 51228\n27702 41436\n22914 34307\n64047 96049\n5047 7517\n64836 97229\n93662 100000\n51947 77867\n26224 39255\n38047 56984\n72241 100000\n7459 11122\n11291 16856\n60615 90899\n31441 47048\n37800 56612\n44526 66700\n2895 4324\n3711 5520\n79880 100000\n53635 80406\n39500 59180\n44550 66735\n53686 80484\n36370 54463\n94127 100000\n10898 16262\n80246 100000\n22725 34012\n22532 33722\n83453 100000\n82425 100000\n32579 48730\n26858 40195\n56964 85380\n21881 32742\n65770 98651\n12204 18256\n53000 79473\n99417 100000\n62512 93758\n14638 21870\n77320 100000\n95418 100000\n88724 100000\n21970 32871\n70307 100000\n29679 44388\n52385 78519\n38051 56991\n31861 47677\n60916 91351\n29503 44115\n85326 100000\n64144 96190\n44807 67109\n49925 74847\n45033 67450\n29943 44788\n91626 100000\n23540 35234\n90105 100000\n45053 67477\n25588 38299\n26490 39654\n2575 3857\n72436 100000\n15257 22796\n47538 71253\n30123 45057\n44145 66156\n39240 58778\n9981 14897\n68802 100000\n43959 65879\n49809 74668\n89646 100000\n14839 22171\n49909 74823\n2178 3262\n79055 100000\n90868 100000\n19993 29888\n57741 86551\n4329 6437\n26227 39259\n68766 100000\n90296 100000\n30252 45249\n3101 4621\n83839 100000\n20141 30102\n10527 15710\n79435 100000\n85318 100000\n43051 64517\n76314 100000\n77733 100000\n15706 23477\n41788 62615\n74359 100000\n98993 100000\n40345 60443\n69676 100000\n72595 100000\n6769 10076\n27324 40883\n91488 100000\n35562 53224\n5789 8618\n73392 100000\n77468 100000\n26500 39668\n85928 100000\n37768 56569\n99971 100000\n80545 100000\n98860 100000\n16302 24366\n89786 100000\n70588 100000\n65754 98630\n92349 100000\n67646 100000\n50891 76286\n13785 20608\n14900 22269\n92916 100000\n71776 100000\n92525 100000\n96498 100000\n83925 100000\n65762 98641\n73262 100000\n71303 100000\n96742 100000\n91445 100000\n44578 66778\n88749 100000\n76517 100000\n35943 53803\n90699 100000\n23077 34543\n76913 100000\n73180 100000\n70849 100000\n83067 100000\n43318 64913\n64850 97249\n40720 61024\n33010 49375\n31720 47466\n28468 42576\n63514 95247\n70431 100000\n9916 14802\n26866 40206\n70633 100000\n60425 90612\n74888 100000\n76185 100000\n19773 29571\n6330 9439\n84773 100000\n80334 100000\n46468 69632\n43306 64896\n83143 100000\n93881 100000\n98551 100000\n72754 100000\n58011 86956\n12153 18185\n13079 19560\n26138 39127\n2669 3991\n63984 95961\n27732 41480\n12081 18079\n38943 58321\n72547 100000\n6218 9273\n51313 76921\n96578 100000\n61044 91542\n48906 73294\n21902 32772\n66575 99860\n60853 91257\n70341 100000\n96310 100000\n16005 23931\n98565 100000\n93486 100000\n83333 100000\n24069 36021\n92742 100000\n74349 100000\n10567 15771\n29103 43512\n9102 13573\n53399 80048\n17393 25996\n24951 37342\n12520 18719\n62471 93689\n75713 100000\n16693 24942\n15215 22732\n54100 81097\n29616 44291\n17217 25722\n18082 27030\n37191 55697\n27417 41020\n51661 77439\n33945 50782\n97266 100000\n22420 33555\n86442 100000\n14971 22373\n30349 45387\n91970 100000\n13147 19663\n45762 68562\n87897 100000\n72891 100000\n60806 91188\n98931 100000\n82760 100000\n4844 7203\n35185 52639\n82309 100000\n62488 93718\n13139 19652\n59575 89302\n41697 62479\n8033 11955\n75255 100000\n24849 37197\n11628 17382\n84193 100000\n37554 56251\n46559 69763\n60589 90859\n81839 100000\n37573 56277\n55391 83015\n89632 100000\n51285 76880\n82784 100000\n82172 100000\n27204 40710\n40576 60801\n57373 85984\n55616 83346\n11348 16941\n47602 71346\n69005 100000\n79146 100000\n53937 80858\n14301 21365\n62155 93233\n61819 92724\n35979 53856\n89850 100000\n89207 100000\n5509 8208\n35705 53432\n55086 82562\n64140 96185\n28885 43189\n17080 25520\n5554 8274\n9492 14158\n25076 37537\n24944 37333\n65596 98394\n29734 44470\n61886 92831\n28055 41958\n187 273\n57347 85945\n91489 100000\n86947 100000\n80756 100000\n28905 43214\n90181 100000\n91760 100000\n69538 100000\n90463 100000\n958 1432\n3002 4478\n77606 100000\n98808 100000\n4734 7036\n5363 7988\n92632 100000\n86821 100000\n27873 41686\n68533 100000\n81348 100000\n42873 64239\n71593 100000\n52950 79394\n86962 100000\n81497 100000\n63498 95224\n78936 100000\n67947 100000\n50073 75067\n39729 59513\n55589 83311\n13412 20055\n70045 100000\n93792 100000\n43030 64487\n48011 71961\n98976 100000\n69616 100000\n57750 86561\n47499 71192\n44016 65962\n93827 100000\n13181 19714\n49984 74936\n88374 100000\n49143 73660\n47804 71650\n39646 59388\n27701 41435\n78572 100000\n42523 63717\n88674 100000\n67588 100000\n94278 100000\n94239 100000\n14763 22054\n71274 100000\n65199 97778\n48180 72219\n90549 100000\n37242 55776\n30825 46121\n81925 100000\n11600 17338\n76538 100000\n40548 60755\n38427 57562\n27429 41036\n41378 62007\n37172 55672\n11513 17203\n14661 21904\n39476 59145\n33018 49387\n55895 83772\n72437 100000\n73034 100000\n80429 100000\n82607 100000\n84303 100000\n82779 100000\n50921 76332\n1029 1540\n88860 100000\n62588 93862\n49880 74777\n45998 68915\n5422 8078\n98942 100000\n25169 37669\n15778 23589\n25763 38560\n82368 100000\n97620 100000\n18600 27802\n87222 100000\n86870 100000\n63751 95599\n30994 46373\n5393 8034\n15481 23136\n34476 51585\n83474 100000\n62864 94282\n13157 19680\n13297 19880\n91834 100000\n33338 49865\n94326 100000\n69154 100000\n72268 100000\n92666 100000\n1497 2234\n7474 11144\n57687 86467\n54977 82404\n24819 37155\n17477 26123\n37526 56209\n40614 60858\n49124 73629\n63628 95412\n1200 1795\n6760 10062\n13332 19936\n66951 100000\n50724 76034\n68158 100000\n14579 21779\n63325 94976\n61849 92771\n3704 5508\n87847 100000\n89972 100000\n54387 81526\n77187 100000\n48689 72964\n15767 23572\n54203 81255\n84619 100000\n66166 99246\n73953 100000\n16402 24513\n94358 100000\n49262 73836\n49269 73847\n85207 100000\n64839 97234\n59391 89020\n73236 100000\n98400 100000\n31771 47540\n56603 84842\n11024 16452\n42224 63271\n30476 45580\n54948 82361\n89862 100000\n41047 61526\n20833 31153\n82337 100000\n90425 100000\n56838 85195\n87658 100000\n56612 84854\n26870 40213\n78312 100000\n89129 100000\n32494 48614\n58778 88107\n99190 100000\n29324 43839\n31862 47679\n65630 98442\n48296 72382\n61793 92686\n76106 100000\n49437 74109\n30662 45867\n62445 93655\n63781 95649\n43749 65567\n64776 97136\n56692 84975\n77106 100000\n43469 65150\n38546 57741\n70583 100000\n95998 100000\n46554 69756\n50299 75398\n90050 100000\n94040 100000\n7720 11514\n44287 66354\n33406 49966\n94798 100000\n40992 61438\n60331 90470\n26021 38945\n4095 6079\n41521 62228\n56500 84689\n76206 100000\n51179 76721\n6145 9166\n70008 100000\n44184 66216\n25572 38276\n27097 40550\n78301 100000\n82474 100000\n94088 100000\n4227 6289\n75570 100000\n86828 100000\n73125 100000\n11528 17226\n16369 24464\n89999 100000\n14205 21220\n6907 10299\n53663 80446\n8382 12478\n12281 18381\n26939 40314\n52614 78868\n64557 96806\n69787 100000\n73939 100000\n95020 100000\n44178 66208\n23708 35482\n25550 38236\n516 769\n73451 100000\n46084 69044\n68266 100000\n56419 84563\n42677 63946\n20816 31128\n31064 46474\n170 251\n7595 11324\n23706 35480\n83769 100000\n27717 41456\n47689 71472\n45820 68646\n17287 25828\n93420 100000\n60605 90882\n76549 100000\n3419 5079\n95477 100000\n388 570\n4951 7363\n6877 10252\n53146 79676\n77385 100000\n41074 61563\n4765 7082\n9249 13791\n39514 59204\n22108 33079\n64530 96766\n40454 60604\n66381 99570\n78794 100000\n52619 78876\n97230 100000\n21538 32216\n2137 3199\n78821 100000\n46187 69199\n14755 22043\n73611 100000\n54846 82208\n37065 55507\n6574 9795\n62001 93002\n51731 77546\n77317 100000\n80777 100000\n55235 82783\n82961 100000\n68100 100000\n82208 100000\n27288 40828\n69142 100000\n30499 45615\n80369 100000\n9148 13640\n53084 79583\n23348 34948\n7917 11791\n61883 92827\n79488 100000\n88504 100000\n76439 100000\n98669 100000\n20764 31057\n61024 91512\n84311 100000\n40479 60638\n39745 59537\n64575 96832\n40338 60432\n87531 100000\n26112 39085\n41952 62865\n35837 53641\n56860 85231\n1487 2219\n97614 100000\n71427 100000\n1345 2010\n50579 75810\n69786 100000\n60112 90129\n88827 100000\n75423 100000\n41711 62499\n99409 100000\n70128 100000\n50807 76160\n79412 100000\n11016 16440\n53630 80397\n44620 66835\n42695 63970\n45947 68834\n85324 100000\n63414 95102\n10879 16235\n5161 7685\n44408 66529\n78375 100000\n20872 31209\n51685 77476\n26856 40192\n91223 100000\n70966 100000\n54194 81242\n2106 3157\n35257 52749\n39178 58682\n60574 90837\n93590 100000\n33267 49762\n1187 1775\n39680 59439\n62036 93057\n42019 62968\n3290 4900\n23680 35444\n12013 17974\n30741 45991\n55389 83013\n3987 5922\n95059 100000\n62486 93715\n27492 41127\n20898 31251\n90383 100000\n58087 87072\n51753 77580\n39839 59683\n45332 67917\n3641 5414\n82676 100000\n67852 100000\n75427 100000\n36000 53889\n22790 34113\n26073 39021\n36592 54799\n18712 27977\n74433 100000\n62251 93377\n6890 10272\n899 1345\n46611 69845\n39875 59734\n82982 100000\n18131 27101\n25871 38722\n37803 56615\n76044 100000\n34753 51988\n4624 6872\n26789 40098\n53248 79832\n10620 15845\n33263 49756\n27040 40461\n64755 97100\n56798 85135\n28794 43055\n56186 84210\n9403 14023\n42800 64125\n70772 100000\n21961 32856\n97513 100000\n13713 20495\n46788 70114\n28763 43009\n30822 46116\n51371 77012\n48558 72773\n12836 19198\n69111 100000\n96657 100000\n41852 62714\n10395 15520\n92807 100000\n75517 100000\n84337 100000\n86312 100000\n34911 52228\n34454 51553\n55062 82527\n87521 100000\n60466 90671\n70701 100000\n95338 100000\n43919 65824\n56175 84194\n89141 100000\n4391 6530\n3521 5230\n78748 100000\n41141 61662\n25757 38549\n23281 34852\n68399 100000\n12700 18991\n58965 88385\n58155 87172\n2113 3168\n74099 100000\n7472 11140\n29707 44433\n21891 32757\n27411 41012\n83146 100000\n13177 19709\n76676 100000\n75015 100000\n55127 82619\n17363 25951\n15438 23073\n17631 26348\n59433 89082\n76485 100000\n73203 100000\n2155 3227\n70455 100000\n83285 100000\n71108 100000\n68196 100000\n69738 100000\n99937 100000\n51470 77150\n80003 100000\n35735 53484\n41288 61873\n76730 100000\n25495 38160\n30601 45774\n57380 85995\n39939 59826\n73889 100000\n11248 16790\n50169 75203\n45508 68175\n36149 54124\n19395 29005\n48985 73414\n69964 100000\n29210 43670\n87998 100000\n29311 43820\n49056 73524\n52408 78557\n6120 9120\n28652 42839\n97817 100000\n72854 100000\n53799 80655\n78888 100000\n7625 11371\n88307 100000\n1312 1964\n68421 100000\n84775 100000\n89130 100000\n17739 26519\n25885 38741\n77676 100000\n18109 27072\n38164 57156\n27534 41188\n93149 100000\n11411 17031\n25806 38627\n93292 100000\n25217 37749\n65226 97819\n2858 4264\n86641 100000\n19092 28547\n24045 35986\n69451 100000\n46909 70302\n93016 100000\n75568 100000\n4814 7159\n85628 100000\n6701 9976\n46265 69315\n25158 37654\n57066 85534\n18769 28061\n21074 31512\n32918 49238\n10447 15600\n40662 60932\n73738 100000\n31663 47378\n1376 2058\n1179 1761\n23730 35513\n28309 42340\n62137 93205\n1143 1707\n7091 10572\n47999 71944\n24845 37191\n58860 88233\n86366 100000\n15712 23486\n71920 100000\n95913 100000\n46930 70331\n68947 100000\n36501 54652\n40534 60731\n8427 12544\n1916 2865\n4024 5977\n86282 100000\n8473 12618\n76143 100000\n75043 100000\n78008 100000\n77588 100000\n83220 100000\n74065 100000\n28163 42123\n31736 47490\n98681 100000\n39359 58962\n24765 37073\n70836 100000\n50260 75340\n75133 100000\n59654 89427\n14384 21486\n52375 78503\n55396 83023\n97453 100000\n45082 67529\n66266 99395\n24815 37150\n51019 76481\n35113 52531\n68709 100000\n73661 100000\n19990 29885\n48510 72702\n26298 39368\n26369 39480\n33297 49807\n95863 100000\n11614 17359\n73214 100000\n82082 100000\n71065 100000\n3571 5308\n11751 17572\n98702 100000\n31035 46430\n10827 16150\n61011 91495\n93974 100000\n74297 100000\n60442 90634\n94660 100000\n97478 100000\n19749 29532\n87132 100000\n36933 55307\n45166 67659\n51165 76698\n76722 100000\n42220 63264\n5503 8199\n28506 42627\n46802 70136\n25019 37451\n29998 44869\n25935 38816\n77178 100000\n65373 98057\n54875 82252\n12872 19248\n67394 100000\n62011 93018\n50690 75979\n11797 17641\n15867 23722\n78760 100000\n47994 71938\n10862 16204\n37686 56447\n3190 4754\n68237 100000\n49617 74383\n46514 69698\n52994 79464\n1294 1939\n32308 48348\n57969 86890\n5966 8885\n14327 21405\n45952 68841\n91051 100000\n2447 3661\n25281 37838\n4265 6343\n39901 59769\n90380 100000\n60123 90147\n17331 25897\n44309 66388\n73613 100000\n98705 100000\n55192 82719\n80295 100000\n20010 29910\n78007 100000\n34752 51987\n66212 99317\n20479 30615\n69034 100000\n90108 100000\n37958 56846\n59338 88942\n76533 100000\n1763 2631\n31358 46920\n8402 12505\n40276 60336\n12929 19334\n44575 66774\n44385 66495\n957 1431\n51020 76482\n8357 12439\n86246 100000\n63245 94857\n58527 87732\n36521 54686\n77277 100000\n3211 4785\n58930 88329\n92358 100000\n33919 50741\n4211 6265\n6173 9210\n92583 100000\n91387 100000\n7735 11534\n56834 85191\n40459 60611\n51076 76563\n57453 86108\n24687 36958\n73141 100000\n38138 57118\n26454 39604\n58496 87685\n47697 71484\n86287 100000\n27099 40553\n50948 76373\n12625 18878\n43042 64505\n20554 30730\n5593 8328\n16888 25235\n61469 92195\n77212 100000\n35093 52501\n82226 100000\n42422 63569\n98330 100000\n88955 100000\n78022 100000\n44115 66109\n28225 42216\n37070 55515\n11473 17136\n44265 66324\n45883 68742\n52117 78117\n72762 100000\n74726 100000\n65903 98842\n72147 100000\n96215 100000\n51152 76678\n9961 14869\n90789 100000\n39479 59148\n79472 100000\n80812 100000\n79950 100000\n98787 100000\n71908 100000\n12605 18846\n86851 100000\n48366 72488\n75559 100000\n76805 100000\n55777 83585\n35642 53338\n89841 100000\n11649 17415\n5717 8509\n43985 65917\n57534 86232\n58103 87093\n76623 100000\n64492 96707\n81505 100000\n22222 33249\n31775 47547\n8853 13199\n3077 4585\n88485 100000\n27644 41351\n95861 100000\n19228 28751\n7628 11374\n5829 8680\n94961 100000\n37468 56124\n11089 16545\n39183 58691\n77424 100000\n94645 100000\n50450 75622\n30393 45458\n83879 100000\n68034 100000\n9227 13754\n60327 90463\n98103 100000\n82550 100000\n81611 100000\n39295 58860\n48035 71999\n94830 100000\n92015 100000\n78155 100000\n63134 94689\n73652 100000\n28862 43157\n85284 100000\n66297 99444\n9108 13583\n24918 37297\n45222 67748\n4617 6861\n71695 100000\n32663 48851\n90800 100000\n46634 69881\n47354 70978\n50367 75504\n75368 100000\n41573 62296\n53264 79853\n87708 100000\n8981 13393\n86060 100000\n28283 42304\n58624 87875\n69489 100000\n81729 100000\n12669 18947\n89306 100000\n83718 100000\n51340 76963\n70894 100000\n11881 17774\n73665 100000\n2407 3606\n16918 25277\n40239 60282\n10016 14953\n32539 48673\n45969 68866\n84459 100000\n36696 54960\n49985 74937\n38375 57481\n13475 20150\n3288 4897\n95683 100000\n74352 100000\n2462 3685\n20635 30858\n42285 63364\n63000 94485\n38794 58108\n45058 67485\n16258 24308\n92611 100000\n45894 68756\n97018 100000\n86808 100000\n49374 74010\n86424 100000\n57184 85701\n72242 100000\n40048 59994\n93141 100000\n6671 9932\n65657 98481\n66938 100000\n49882 74780\n56557 84776\n51351 76979\n88055 100000\n33763 50504\n50662 75932\n72104 100000\n76986 100000\n46975 70405\n18063 27001\n45117 67586\n79578 100000\n76063 100000\n19617 29340\n26943 40322\n51456 77130\n85399 100000\n72161 100000\n3471 5156\n55716 83492\n52478 78667\n6157 9185\n6267 9347\n69117 100000\n99295 100000\n66637 99952\n6485 9666\n89901 100000\n48155 72182\n31914 47755\n3024 4511\n35176 52625\n62654 93966\n4972 7398\n53956 80886\n86368 100000\n50182 75224\n78968 100000\n14815 22133\n22885 34262\n68959 100000\n75280 100000\n39365 58972\n49539 74262\n1776 2652\n77135 100000\n73721 100000\n28038 41934\n61954 92931\n41484 62170\n63810 95695\n12800 19146\n98826 100000\n78052 100000\n64627 96910\n99948 100000\n93631 100000\n29788 44554\n93933 100000\n83207 100000\n41389 62023\n19678 29426\n28439 42537\n24334 36424\n39360 58964\n32391 48464\n69283 100000\n92294 100000\n20766 31059\n65619 98428\n66765 100000\n83965 100000\n62219 93327\n33732 50458\n83141 100000\n44270 66331\n10048 15001\n15692 23456\n35451 53049\n62568 93835\n15580 23289\n77281 100000\n60702 91035\n40156 60154\n30020 44904\n62385 93566\n42336 63435\n31612 47301\n64733 97069\n23041 34495\n92586 100000\n87930 100000\n24574 36792\n41972 62900\n92064 100000\n81265 100000\n97852 100000\n50251 75324\n29173 43613\n90014 100000\n87340 100000\n47802 71646\n36325 54392\n15040 22472\n88309 100000\n87579 100000\n63706 95528\n14530 21704\n21966 32864\n90904 100000\n37244 55780\n46657 69916\n22924 34323\n83538 100000\n99329 100000\n45154 67639\n27410 41011\n75897 100000\n26083 39038\n86734 100000\n83090 100000\n33373 49920\n55421 83063\n80134 100000\n692 1037\n19524 29200\n80035 100000\n407 603\n31540 47195\n9439 14079\n56400 84534\n42413 63557\n5244 7811\n55541 83241\n68924 100000\n98031 100000\n22847 34204\n84023 100000\n65065 97567\n4535 6743\n72348 100000\n81852 100000\n51111 76614\n41876 62749\n48945 73356\n75755 100000\n18718 27986\n10723 15996\n1774 2648\n68323 100000\n14382 21483\n20837 31159\n22408 33536\n36473 54613\n15461 23107\n81383 100000\n80215 100000\n27395 40988\n45172 67670\n14324 21401\n54797 82135\n88523 100000\n34388 51460\n44969 67358\n71438 100000\n53061 79555\n95476 100000\n1269 1898\n98320 100000\n14759 22049\n75489 100000\n19673 29418\n43192 64712\n25510 38182\n68687 100000\n5764 8579\n58718 88015\n6033 8990\n40928 61342\n2807 4188\n65107 97634\n33062 49459\n99208 100000\n63940 95895\n79312 100000\n11914 17818\n11431 17064\n15472 23124\n55120 82609\n86602 100000\n86010 100000\n38593 57810\n22428 33567\n519 774\n44054 66017\n54717 82015\n28242 42241\n15626 23357\n28900 43207\n41858 62724\n47502 71197\n69389 100000\n91173 100000\n64236 96324\n24370 36484\n9716 14497\n3050 4546\n45714 68488\n65193 97769\n60226 90306\n25622 38348\n24747 37048\n73409 100000\n4406 6551\n93528 100000\n92785 100000\n31895 47727\n29916 44747\n6534 9740\n15227 22750\n95585 100000\n18329 27402\n57381 85996\n58805 88152\n58589 87822\n10576 15784\n43288 64866\n39782 59592\n86983 100000\n23029 34480\n82695 100000\n72193 100000\n3280 4886\n3637 5407\n10773 16071\n39374 58988\n18132 27102\n51743 77566\n75236 100000\n57950 86865\n42041 63003\n25416 38042\n94013 100000\n7313 10906\n55852 83705\n40127 60110\n40413 60541\n99517 100000\n80840 100000\n23553 35255\n35342 52874\n99616 100000\n18144 27122\n7995 11902\n28612 42779\n56488 84669\n64311 96438\n57499 86179\n1047 1567\n2757 4109\n84529 100000\n247 365\n22443 33591\n13341 19951\n90278 100000\n63127 94680\n68493 100000\n57383 85998\n14992 22402\n27760 41521\n5878 8756\n44460 66603\n46014 68941\n98856 100000\n24519 36713\n96054 100000\n79154 100000\n50219 75275\n99005 100000\n11505 17189\n79456 100000\n99733 100000\n73077 100000\n9440 14081\n44004 65943\n98839 100000\n51854 77728\n79923 100000\n34211 51177\n23931 35815\n16135 24122\n57371 85981\n92899 100000\n73266 100000\n47824 71681\n13210 19756\n70124 100000\n94995 100000\n6466 9636\n80164 100000\n85080 100000\n89843 100000\n90787 100000\n76630 100000\n84412 100000\n15990 23913\n53163 79699\n2668 3990\n52645 78916\n3319 4936\n9992 14917\n1889 2829\n8929 13316\n62118 93177\n50656 75922\n13484 20163\n64092 96113\n16607 24818\n68728 100000\n81113 100000\n74076 100000\n54452 81622\n20989 31382\n86342 100000\n52626 78886\n54973 82398\n46552 69754\n20370 30454\n93776 100000\n8240 12265\n40394 60514\n89888 100000\n13775 20594\n49787 74637\n46603 69834\n85246 100000\n953 1425\n88964 100000\n19682 29433\n97056 100000\n46528 69718\n42284 63362\n58927 88324\n7304 10894\n64638 96928\n61099 91625\n44086 66067\n84026 100000\n2263 3384\n27983 41848\n38184 57185\n4830 7181\n84700 100000\n35775 53545\n77426 100000\n2042 3060\n30885 46217\n36090 54033\n51446 77118\n5298 7889\n75642 100000\n36349 54429\n31103 46531\n30082 44994\n84410 100000\n9036 13479\n94316 100000\n62447 93657\n71473 100000\n39651 59396\n38505 57680\n10274 15325\n90256 100000\n26873 40217\n96491 100000\n44484 66636\n72892 100000\n35307 52821\n8702 12964\n52261 78337\n62128 93190\n94581 100000\n83544 100000\n29262 43748\n24236 36276\n87724 100000\n95045 100000\n2312 3462\n4381 6516\n94607 100000\n61323 91978\n937 1403\n85315 100000\n68503 100000\n96811 100000\n43778 65605\n36917 55285\n52650 78926\n95556 100000\n33818 50587\n29305 43812\n7765 11574\n79379 100000\n55132 82627\n94540 100000\n6299 9394\n72658 100000\n62415 93613\n16981 25375\n60543 90792\n54891 82273\n69133 100000\n45765 68567\n33200 49661\n39556 59261\n52670 78960\n9463 14116\n65528 98292\n71951 100000\n77258 100000\n2684 4009\n90249 100000\n65822 98725\n49968 74912\n93313 100000\n72447 100000\n91174 100000\n62090 93138\n31020 46407\n67243 100000\n39326 58910\n61602 92397\n24760 37065\n94145 100000\n75539 100000\n38111 57079\n17914 26784\n55981 83903\n92906 100000\n86623 100000\n78014 100000\n9841 14691\n92143 100000\n99957 100000\n4817 7164\n43482 65167\n72830 100000\n6893 10276\n32806 49067\n8250 12280\n84858 100000\n33456 50041\n70552 100000\n76707 100000\n47740 71550\n47020 70472\n40341 60437\n99998 100000\n15733 23517\n77600 100000\n68923 100000\n3154 4698\n82187 100000\n56166 84181\n7047 10505\n13984 20898\n97346 100000\n74536 100000\n45860 68705\n73475 100000\n78212 100000\n34691 51901\n96890 100000\n2320 3474\n62012 93020\n46815 70157\n56803 85144\n33088 49496\n88831 100000\n12796 19140\n21761 32548\n68868 100000\n82552 100000\n51317 76926\n83780 100000\n42183 63212\n34097 51007\n99207 100000\n3252 4846\n81550 100000\n64655 96955\n49507 74214\n99766 100000\n18750 28035\n9287 13847\n26403 39528\n26214 39239\n60659 90967\n55623 83357\n75759 100000\n91874 100000\n31041 46438\n24231 36269\n41617 62363\n72179 100000\n74958 100000\n28409 42493\n99646 100000\n24877 37238\n71498 100000\n6758 10060\n91663 100000\n68090 100000\n86012 100000\n69295 100000\n49460 74144\n7805 11626\n13283 19860\n38826 58153\n34711 51931\n95069 100000\n90837 100000\n4864 7232\n38192 57198\n7681 11454\n61918 92877\n82724 100000\n90500 100000\n94662 100000\n7080 10554\n21536 32213\n935 1400\n70914 100000\n34358 51408\n6443 9601\n35816 53610\n9885 14756\n84016 100000\n15649 23394\n45402 68017\n1568 2340\n79610 100000\n47798 71638\n78262 100000\n44715 66979\n39422 59061\n87486 100000\n61539 92301\n93392 100000\n49839 74717\n85514 100000\n13794 20622\n76011 100000\n28607 42770\n21359 31944\n46883 70262\n1322 1980\n87433 100000\n37367 55967\n56541 84753\n69625 100000\n7284 10860\n6607 9840\n99632 100000\n98637 100000\n50413 75572\n7083 10559\n32167 48135\n86771 100000\n44653 66884\n97097 100000\n6982 10410\n30072 44979\n23888 35752\n58305 87401\n2959 4417\n25884 38739\n78974 100000\n35911 53757\n95848 100000\n86069 100000\n48163 72193\n14055 21002\n37334 55920\n9913 14797\n15862 23714\n89838 100000\n89722 100000\n76579 100000\n65562 98343\n77631 100000\n59355 88970\n89742 100000\n91474 100000\n87995 100000\n35763 53524\n71762 100000\n7930 11810\n7390 11022\n36439 54564\n33824 50596\n42060 63029\n20377 30465\n61053 91556\n41354 61970\n54279 81369\n27541 41196\n92241 100000\n33926 50753\n70642 100000\n65858 98779\n70453 100000\n29145 43572\n40832 61202\n57823 86669\n1148 1715\n52547 78766\n66582 99870\n38854 58195\n94121 100000\n34838 52115\n35660 53364\n68966 100000\n76218 100000\n98448 100000\n87204 100000\n18358 27444\n15035 22465\n52688 78985\n57104 85589\n64278 96389\n43383 65013\n91060 100000\n99968 100000\n70702 100000\n44204 66243\n10238 15276\n69251 100000\n17578 26270\n2939 4389\n16846 25167\n71226 100000\n32082 48005\n62318 93473\n74181 100000\n35551 53208\n20360 30437\n9243 13783\n42929 64331\n45226 67754\n90493 100000\n84711 100000\n97298 100000\n60550 90802\n64397 96570\n91779 100000\n97906 100000\n53029 79516\n23355 34960\n81885 100000\n87841 100000\n28291 42315\n63981 95956\n19926 29792\n18720 27989\n29030 43404\n60677 90997\n42912 64304\n87572 100000\n97888 100000\n91048 100000\n44 65\n6652 9905\n10972 16373\n72052 100000\n27667 41384\n3890 5779\n4034 5993\n76949 100000\n61324 91980\n3496 5195\n43365 64984\n55044 82501\n96665 100000\n28254 42261\n15745 23536\n74145 100000\n46639 69888\n91769 100000\n95963 100000\n34453 51551\n51692 77488\n38228 57252\n73390 100000\n96024 100000\n95830 100000\n12799 19145\n39633 59370\n21756 32541\n75552 100000\n80476 100000\n68455 100000\n96543 100000\n9128 13611\n75673 100000\n55328 82923\n63854 95762\n84887 100000\n36573 54770\n87849 100000\n27480 41111\n59079 88553\n96379 100000\n93713 100000\n12738 19049\n65907 98849\n15512 23181\n64149 96199\n46136 69127\n39891 59756\n31238 46732\n52139 78149\n42266 63335\n82902 100000\n23091 34564\n56369 84486\n62378 93557\n76797 100000\n53636 80408\n97473 100000\n56852 85217\n71101 100000\n90051 100000\n65518 98275\n1533 2287\n58056 87024\n97004 100000\n59373 88995\n61009 91491\n25848 38689\n46103 69071\n73764 100000\n65090 97608\n17517 26181\n71497 100000\n26558 39759\n47002 70444\n68115 100000\n34991 52352\n47083 70567\n8577 12784\n33271 49766\n87781 100000\n34630 51809\n78952 100000\n91678 100000\n73015 100000\n83667 100000\n69418 100000\n3623 5382\n84057 100000\n10261 15306\n32473 48585\n83806 100000\n12781 19114\n32732 48954\n3879 5762\n45832 68662\n37010 55425\n45158 67646\n6824 10167\n38710 57983\n3533 5250\n78778 100000\n28034 41927\n41616 62361\n93723 100000\n23641 35384\n83294 100000\n3723 5539\n48837 73190\n4976 7405\n63898 95829\n54883 82262\n19201 28709\n37829 56651\n43697 65488\n12149 18179\n22231 33265\n193 285\n67561 100000\n99160 100000\n16325 24402\n61315 91964\n45691 68452\n67942 100000\n91648 100000\n52136 78145\n90759 100000\n67208 100000\n4242 6309\n45843 68679\n56643 84899\n35144 52578\n40592 60826\n95682 100000\n93866 100000\n6291 9381\n72768 100000\n92026 100000\n99580 100000\n65059 97557\n11421 17049\n54998 82435\n96015 100000\n43677 65460\n48458 72625\n1440 2156\n45680 68434\n14568 21764\n62179 93268\n38589 57803\n64181 96247\n59967 89903\n39859 59709\n53144 79673\n52284 78369\n3900 5794\n99030 100000\n82870 100000\n37356 55949\n88218 100000\n84732 100000\n39606 59337\n76067 100000\n65154 97711\n75010 100000\n38089 57049\n93257 100000\n70407 100000\n60218 90292\n17253 25776\n84958 100000\n51007 76464\n89387 100000\n24224 36259\n64994 97462\n34532 51668\n84536 100000\n81911 100000\n19966 29848\n49328 73939\n14161 21162\n23699 35471\n58962 88381\n71408 100000\n11870 17757\n7511 11201\n98819 100000\n29472 44062\n89348 100000\n28377 42443\n55784 83596\n85957 100000\n29997 44867\n90040 100000\n63679 95487\n15060 22500\n85458 100000\n96094 100000\n29653 44345\n56006 83938\n23909 35782\n11424 17054\n78628 100000\n37556 56255\n54398 81544\n7916 11790\n64071 96084\n93345 100000\n196 290\n31633 47330\n9971 14881\n49158 73682\n34675 51873\n64145 96192\n32946 49282\n74142 100000\n96783 100000\n76740 100000\n7347 10956\n21805 32620\n88732 100000\n98397 100000\n91513 100000\n21149 31629\n2627 3932\n74806 100000\n52914 79337\n48579 72805\n81875 100000\n57464 86126\n9067 13518\n84479 100000\n85901 100000\n57871 86741\n6488 9669\n75744 100000\n85060 100000\n60549 90800\n19253 28794\n35865 53683\n88810 100000\n65874 98801\n99503 100000\n70814 100000\n96187 100000\n5306 7900\n82997 100000\n42543 63749\n52816 79187\n15992 23915\n67725 100000\n68651 100000\n56979 85401\n84515 100000\n61596 92386\n42263 63330\n88429 100000\n29982 44847\n50048 75032\n52518 78725\n41330 61932\n40387 60503\n55628 83365\n99338 100000\n22081 33038\n48816 73157\n8559 12757\n99866 100000\n67370 100000\n40930 61346\n17891 26753\n66202 99299\n83437 100000\n45323 67902\n68519 100000\n75640 100000\n53216 79780\n8519 12693\n58018 86964\n86875 100000\n92287 100000\n38361 57459\n56067 84023\n7105 10592\n52036 77996\n27875 41689\n21314 31880\n98075 100000\n10708 15974\n62751 94109\n17455 26091\n60546 90797\n70424 100000\n32980 49329\n94137 100000\n49706 74511\n46172 69180\n20902 31257\n28342 42394\n16340 24421\n18988 28388\n59271 88843\n91072 100000\n64585 96845\n44839 67154\n22531 33720\n77767 100000\n42219 63262\n81232 100000\n30203 45176\n70933 100000\n22958 34375\n559 839\n98359 100000\n13641 20393\n41237 61804\n14875 22231\n75619 100000\n9174 13680\n66896 100000\n23865 35717\n6862 10228\n13503 20194\n19745 29526\n66115 99171\n35928 53780\n68851 100000\n65672 98502\n92401 100000\n48687 72962\n36272 54314\n67631 100000\n97292 100000\n34570 51721\n11899 17798\n65945 98911\n76153 100000\n33029 49406\n99752 100000\n92366 100000\n26935 40308\n42005 62948\n83176 100000\n71103 100000\n90132 100000\n16227 24260\n11347 16940\n27976 41838\n32328 48373\n49324 73931\n27422 41027\n29816 44598\n91979 100000\n89626 100000\n61019 91506\n77166 100000\n6833 10178\n42940 64349\n4281 6368\n57260 85816\n51190 76739\n88731 100000\n74487 100000\n91964 100000\n91992 100000\n73067 100000\n83408 100000\n71221 100000\n19301 28864\n54229 81291\n18049 26981\n84344 100000\n41523 62230\n24744 37043\n58363 87485\n45990 68902\n30855 46169\n67688 100000\n7465 11130\n70803 100000\n47847 71717\n88332 100000\n68011 100000\n38058 57001\n97422 100000\n76420 100000\n29078 43476\n83903 100000\n74124 100000\n47046 70508\n832 1245\n62389 93573\n83317 100000\n93444 100000\n9480 14137\n78104 100000\n72835 100000\n725 1083\n91147 100000\n81227 100000\n94868 100000\n70714 100000\n31603 47288\n65841 98752\n2190 3280\n38534 57724\n20986 31378\n92723 100000\n56969 85389\n36574 54772\n1206 1805\n83219 100000\n83860 100000\n32798 49054\n98535 100000\n83008 100000\n57735 86541\n58107 87097\n57256 85810\n70889 100000\n38450 57600\n15938 23835\n44445 66584\n87256 100000\n4954 7369\n8543 12733\n45904 68769\n65956 98927\n50139 75160\n57141 85638\n91673 100000\n38619 57848\n50040 75019\n19607 29326\n19455 29093\n86097 100000\n41733 62531\n31480 47108\n17567 26254\n38017 56939\n85004 100000\n41887 62768\n63714 95538\n15309 22872\n24546 36754\n11502 17183\n59390 89019\n15193 22696\n55640 83383\n53670 80457\n86735 100000\n4167 6200\n57660 86424\n47783 71619\n72452 100000\n61268 91891\n59704 89507\n12260 18346\n83671 100000\n76512 100000\n81873 100000\n54944 82354\n81490 100000\n10408 15542\n86790 100000\n50617 75862\n90885 100000\n7406 11048\n90131 100000\n82465 100000\n69431 100000\n58813 88167\n61408 92108\n2613 3910\n21825 32650\n80843 100000\n86321 100000\n82685 100000\n68564 100000\n90523 100000\n9152 13646\n15149 22632\n14367 21461\n10813 16132\n23272 34839\n78012 100000\n28231 42225\n91990 100000\n42594 63818\n63165 94737\n43202 64727\n92330 100000\n74503 100000\n33802 50561\n27503 41143\n51659 77436\n96616 100000\n32744 48972\n49854 74737\n53881 80775\n94346 100000\n4201 6247\n944 1412\n42175 63199\n94446 100000\n76909 100000\n30126 45062\n3093 4609\n9386 13999\n79142 100000\n2618 3916\n44034 65987\n66017 99021\n64687 97003\n50571 75799\n5451 8123\n25397 38013\n61276 91902\n394 582\n61074 91590\n27589 41269\n87102 100000\n99180 100000\n43721 65521\n72880 100000\n89135 100000\n60814 91200\n73865 100000\n83506 100000\n73821 100000\n70747 100000\n69850 100000\n10305 15375\n25392 38005\n37664 56417\n63606 95380\n88660 100000\n54024 80984\n26101 39067\n20929 31297\n44466 66610\n85222 100000\n94295 100000\n82806 100000\n13829 20671\n28101 42030\n93492 100000\n87744 100000\n19367 28965\n18135 27107\n89639 100000\n69416 100000\n56013 83949\n89826 100000\n63069 94592\n65649 98470\n26418 39550\n72435 100000\n76135 100000\n67649 100000\n62651 93961\n2672 3995\n73681 100000\n82875 100000\n41590 62321\n50454 75628\n32817 49082\n16183 24192\n18667 27907\n9431 14066\n8122 12086\n84139 100000\n30158 45107\n63333 94988\n95798 100000\n55408 83042\n77007 100000\n52651 78928\n81769 100000\n44453 66595\n40300 60372\n30211 45188\n9729 14517\n5456 8130\n70517 100000\n19065 28507\n76405 100000\n25335 37920\n60540 90788\n76419 100000\n36121 54085\n23975 35879\n18982 28379\n87627 100000\n31361 46925\n99457 100000\n74051 100000\n89090 100000\n77978 100000\n27004 40409\n72424 100000\n81399 100000\n59149 88655\n50705 76003\n6941 10345\n5091 7582\n91239 100000\n84989 100000\n63536 95282\n9946 14846\n61092 91617\n28523 42652\n24728 37017\n96072 100000\n28985 43333\n48731 73024\n90485 100000\n34198 51157\n69370 100000\n93139 100000\n1930 2886\n77319 100000\n59510 89203\n99804 100000\n99021 100000\n31564 47232\n35008 52378\n43638 65401\n13006 19445\n55431 83079\n98307 100000\n42662 63921\n31344 46898\n41851 62713\n2324 3480\n84263 100000\n53199 79753\n17938 26818\n10934 16314\n94478 100000\n41855 62719\n92516 100000\n84999 100000\n1753 2616\n62205 93307\n18471 27608\n76960 100000\n53795 80649\n99181 100000\n8153 12136\n23825 35659\n81503 100000\n15660 23410\n89597 100000\n78466 100000\n13149 19666\n97143 100000\n9895 14770\n96120 100000\n14171 21176\n73000 100000\n7958 11848\n89392 100000\n45483 68139\n65530 98294\n53534 80247\n75719 100000\n53392 80039\n79531 100000\n55591 83313\n41258 61831\n88002 100000\n59365 88984\n29969 44827\n52706 79012\n731 1092\n70874 100000\n96861 100000\n71735 100000\n27386 40974\n9135 13623\n98020 100000\n56657 84921\n27403 41001\n22833 34182\n10603 15824\n62114 93172\n65513 98269\n31530 47181\n94574 100000\n77689 100000\n80457 100000\n15866 23720\n73418 100000\n12211 18267\n73056 100000\n53896 80797\n59386 89012\n83994 100000\n74222 100000\n57940 86849\n78864 100000\n65021 97502\n96362 100000\n42995 64429\n11869 17756\n8256 12287\n38418 57549\n28965 43301\n63344 95004\n22928 34330\n89304 100000\n74531 100000\n88911 100000\n8945 13342\n47910 71813\n45933 68811\n98146 100000\n81577 100000\n63872 95788\n86581 100000\n90965 100000\n80986 100000\n34334 51369\n15836 23675\n5799 8633\n31197 46668\n11174 16674\n22805 34136\n50611 75854\n64914 97342\n81393 100000\n93462 100000\n72121 100000\n10563 15765\n30534 45666\n27745 41500\n168 249\n83614 100000\n37336 55924\n23108 34589\n74865 100000\n35217 52690\n53157 79690\n85701 100000\n94528 100000\n74036 100000\n88391 100000\n10438 15589\n91242 100000\n80741 100000\n14335 21416\n50006 74970\n28946 43273\n50959 76391\n6509 9702\n74455 100000\n16816 25123\n51437 77105\n56251 84307\n39411 59046\n53458 80138\n5940 8848\n85543 100000\n78725 100000\n60582 90849\n78035 100000\n11109 16577\n72844 100000\n67574 100000\n6984 10414\n81727 100000\n42945 64357\n61965 92949\n8318 12382\n30029 44916\n49284 73870\n97373 100000\n14140 21127\n71208 100000\n55270 82835\n62146 93219\n21296 31852\n40961 61393\n33125 49557\n9393 14008\n63731 95567\n96991 100000\n63733 95571\n95225 100000\n96242 100000\n42575 63793\n67602 100000\n14686 21940\n95786 100000\n76452 100000\n30167 45120\n34689 51898\n37626 56359\n14986 22394\n51502 77199\n72133 100000\n26412 39540\n12133 18154\n95259 100000\n13159 19684\n75913 100000\n48863 73226\n32975 49322\n81038 100000\n2044 3062\n492 733\n23645 35390\n35124 52550\n25997 38911\n21917 32794\n34803 52064\n93526 100000\n6799 10127\n18277 27319\n59431 89078\n1471 2197\n61379 92063\n87654 100000\n29227 43698\n82981 100000\n44228 66275\n43347 64955\n25503 38173\n65687 98526\n43942 65856\n82817 100000\n11543 17246\n76404 100000\n54123 81134\n3913 5809\n89871 100000\n3278 4884\n87117 100000\n97660 100000\n88517 100000\n79053 100000\n5079 7565\n81396 100000\n96014 100000\n97038 100000\n48489 72671\n15089 22543\n9532 14219\n71905 100000\n9539 14232\n14318 21392\n53180 79723\n26835 40164\n81408 100000\n42059 63028\n99258 100000\n45458 68101\n41139 61658\n78625 100000\n33307 49819\n91212 100000\n80749 100000\n77714 100000\n78103 100000\n82585 100000\n56605 84844\n8739 13021\n54140 81161\n16437 24564\n52281 78365\n13292 19872\n39743 59534\n56662 84928\n48534 72735\n1357 2029\n95700 100000\n56653 84915\n27975 41837\n64080 96099\n83754 100000\n35087 52493\n61853 92778\n85261 100000\n2777 4137\n31576 47251\n42520 63712\n14988 22397\n40267 60322\n67925 100000\n84855 100000\n10060 15019\n76113 100000\n93700 100000\n31268 46781\n68300 100000\n20775 31073\n68697 100000\n65062 97561\n94161 100000\n87914 100000\n24637 36887\n27568 41236\n69828 100000\n239 354\n46718 70010\n91234 100000\n63806 95688\n63830 95722\n26026 38953\n96269 100000\n64556 96804\n65743 98611\n91824 100000\n8396 12497\n84069 100000\n3469 5153\n93530 100000\n84626 100000\n28683 42887\n33219 49689\n29743 44480\n76845 100000\n9060 13510\n18735 28013\n80340 100000\n299 439\n92702 100000\n19321 28893\n15473 23126\n94265 100000\n40146 60140\n38992 58396\n60429 90617\n48514 72708\n63474 95193\n69536 100000\n99613 100000\n27780 41549\n39778 59586\n84915 100000\n96344 100000\n56205 84239\n54860 82230\n97592 100000\n57589 86313\n73884 100000\n64708 97031\n95238 100000\n68898 100000\n44809 67112\n93364 100000\n95651 100000\n1881 2816\n70800 100000\n57290 85857\n58413 87561\n3127 4658\n29292 43791\n70228 100000\n60846 91248\n62195 93291\n85325 100000\n79758 100000\n54317 81419\n61992 92987\n70057 100000\n49320 73924\n77223 100000\n60447 90643\n7840 11681\n20496 30643\n92852 100000\n19639 29370\n21677 32428\n71705 100000\n53238 79815\n45211 67731\n76818 100000\n99281 100000\n53516 80222\n56530 84737\n10641 15873\n24063 36012\n15910 23788\n92889 100000\n16484 24637\n78823 100000\n51584 77326\n15162 22650\n89989 100000\n37818 56636\n38652 57895\n17810 26630\n27212 40724\n54018 80974\n38602 57822\n71056 100000\n15402 23012\n24223 36257\n92988 100000\n24189 36205\n44951 67331\n43517 65219\n63306 94948\n87896 100000\n91186 100000\n93071 100000\n46985 70417\n20130 30084\n65281 97907\n38644 57883\n99868 100000\n63836 95733\n38994 58399\n29253 43735\n2495 3736\n40490 60658\n34290 51305\n49838 74715\n39989 59901\n14228 21258\n83507 100000\n21195 31697\n97662 100000\n28258 42267\n82464 100000\n29884 44697\n12552 18767\n20206 30194\n47377 71011\n87427 100000\n29331 43850\n67131 100000\n30979 46351\n23697 35469\n3756 5586\n17964 26853\n59237 88788\n63931 95883\n74795 100000\n95041 100000\n87963 100000\n20475 30610\n91981 100000\n61460 92184\n28257 42266\n48308 72400\n99825 100000\n19610 29330\n59087 88566\n2182 3269\n33555 50190\n39493 59168\n52060 78036\n74782 100000\n13513 20206\n43816 65663\n19310 28877\n94436 100000\n64720 97050\n72888 100000\n81259 100000\n25545 38229\n21200 31706\n78631 100000\n96428 100000\n72015 100000\n82410 100000\n48659 72921\n56732 85035\n34134 51065\n14481 21633\n77501 100000\n58597 87835\n82890 100000\n93856 100000\n8186 12184\n42738 64038\n95011 100000\n13301 19887\n35072 52471\n91333 100000\n83080 100000\n86251 100000\n96997 100000\n90663 100000\n53147 79678\n54600 81842\n43066 64537\n66970 100000\n72350 100000\n61123 91659\n83864 100000\n48785 73111\n40567 60787\n37537 56227\n90529 100000\n7205 10742\n40098 60066\n33515 50132\n74854 100000\n86239 100000\n10338 15427\n38467 57625\n2679 4003\n21032 31448\n91820 100000\n43745 65560\n66648 99969\n80871 100000\n95523 100000\n90197 100000\n92191 100000\n39887 59752\n65114 97644\n28545 42681\n29808 44582\n14819 22140\n59158 88669\n54087 81078\n77684 100000\n35343 52876\n31164 46616\n80012 100000\n53935 80855\n89172 100000\n59627 89389\n79856 100000\n65262 97876\n89698 100000\n59921 89831\n72858 100000\n95289 100000\n49115 73619\n85723 100000\n36513 54673\n73616 100000\n10546 15738\n57042 85500\n9355 13950\n96752 100000\n96715 100000\n42714 64000\n39324 58907\n87353 100000\n23226 34766\n74318 100000\n76560 100000\n33710 50424\n21473 32117\n22045 32983\n22453 33605\n99430 100000\n98832 100000\n80493 100000\n76313 100000\n5074 7557\n2120 3177\n52904 79322\n80925 100000\n64050 96054\n85241 100000\n94132 100000\n70484 100000\n91192 100000\n47475 71157\n44669 66911\n21769 32561\n83662 100000\n69153 100000\n81247 100000\n53312 79926\n87680 100000\n69309 100000\n18708 27971\n66706 100000\n59526 89228\n68782 100000\n31526 47174\n39756 59553\n26972 40367\n76520 100000\n27132 40607\n67304 100000\n27183 40678\n18782 28077\n12604 18845\n85138 100000\n40264 60319\n47687 71469\n31706 47444\n9441 14083\n24457 36616\n72831 100000\n88833 100000\n67056 100000\n38186 57189\n68598 100000\n84648 100000\n90582 100000\n92268 100000\n96959 100000\n3263 4863\n79810 100000\n69684 100000\n53866 80752\n88204 100000\n87231 100000\n4055 6022\n96729 100000\n3685 5479\n25652 38393\n25304 37874\n27699 41432\n94674 100000\n38753 58050\n18858 28197\n24489 36663\n70538 100000\n48247 72311\n85851 100000\n20893 31244\n60119 90141\n39609 59341\n24786 37107\n57324 85910\n40733 61046\n15567 23269\n41099 61600\n2050 3072\n92281 100000\n2730 4072\n6702 9978\n22102 33068\n83771 100000\n36087 54029\n66175 99262\n87264 100000\n75628 100000\n13273 19846\n66307 99456\n19237 28767\n43901 65797\n63445 95149\n48290 72374\n52335 78444\n98380 100000\n21353 31936\n82166 100000\n37212 55729\n21620 32340\n90402 100000\n2074 3109\n91880 100000\n23132 34623\n36660 54902\n70299 100000\n24664 36924\n99401 100000\n62500 93737\n77742 100000\n86295 100000\n8076 12016\n82642 100000\n2678 4002\n25143 37631\n79654 100000\n3234 4818\n79516 100000\n63154 94719\n50712 76015\n72254 100000\n64128 96164\n40138 60126\n31699 47432\n84071 100000\n44193 66228\n82946 100000\n89189 100000\n43797 65636\n18269 27306\n3774 5610\n80010 100000\n80772 100000\n17095 25544\n85565 100000\n43552 65270\n17467 26110\n50471 75653\n53513 80218\n35727 53468\n34182 51134\n23319 34910\n41289 61874\n17543 26221\n18990 28392\n61342 92009\n26306 39379\n35903 53744\n7610 11348\n27332 40895\n1855 2775\n89566 100000\n53311 79925\n15854 23701\n12141 18167\n81710 100000\n20305 30351\n41278 61860\n85627 100000\n4330 6439\n20207 30195\n84900 100000\n13580 20308\n97823 100000\n653 977\n63279 94909\n25940 38825\n65401 98099\n79318 100000\n18767 28059\n8468 12610\n66310 99462\n40773 61107\n32122 48067\n84305 100000\n49892 74796\n85258 100000\n63919 95864\n2043 3061\n1878 2812\n28517 42644\n53035 79523\n69328 100000\n30514 45637\n44979 67374\n33719 50439\n88385 100000\n19485 29138\n4371 6502\n36435 54558\n39960 59861\n58627 87880\n61358 92034\n95447 100000\n94620 100000\n50312 75418\n42133 63136\n14063 21016\n69269 100000\n87139 100000\n75994 100000\n38509 57687\n45612 68330\n78588 100000\n59118 88610\n72912 100000\n25842 38680\n86337 100000\n31722 47470\n302 445\n13715 20497\n72582 100000\n4037 5997\n51372 77014\n96147 100000\n6124 9127\n15018 22439\n71027 100000\n1777 2654\n13363 19979\n71489 100000\n30262 45264\n88180 100000\n5400 8047\n34937 52267\n21877 32735\n53758 80594\n37654 56401\n41294 61881\n26987 40388\n45589 68295\n96555 100000\n95483 100000\n58690 87977\n93844 100000\n71190 100000\n66384 99575\n18152 27134\n53619 80379\n38664 57911\n48267 72342\n14899 22267\n30602 45775\n99222 100000\n88594 100000\n76155 100000\n19031 28454\n19236 28766\n26210 39234\n22488 33657\n58229 87280\n97483 100000\n99742 100000\n92758 100000\n2798 4172\n14705 21969\n58187 87218\n15015 22434\n9027 13465\n69062 100000\n11353 16948\n81574 100000\n20890 31239\n20299 30342\n14776 22073\n45533 68212\n88434 100000\n54462 81639\n34336 51372\n86883 100000\n24120 36096\n72541 100000\n73537 100000\n93914 100000\n81282 100000\n58024 86972\n13726 20515\n84304 100000\n32530 48663\n17297 25843\n17410 26021\n95118 100000\n83262 100000\n90801 100000\n87161 100000\n57468 86132\n59651 89423\n76907 100000\n88876 100000\n50381 75526\n73646 100000\n74185 100000\n69624 100000\n28172 42134\n18314 27377\n68491 100000\n30216 45195\n87802 100000\n82178 100000\n3332 4953\n43447 65115\n32303 48341\n77405 100000\n91285 100000\n49523 74239\n27969 41829\n72885 100000\n82428 100000\n70574 100000\n21002 31404\n52262 78338\n79613 100000\n19823 29644\n57826 86673\n70525 100000\n50282 75374\n34580 51738\n23640 35383\n14883 22244\n38 55\n38117 57088\n65078 97588\n90694 100000\n19997 29895\n3656 5435\n22346 33445\n70860 100000\n75997 100000\n65964 98939\n77968 100000\n91994 100000\n78107 100000\n98338 100000\n67132 100000\n74113 100000\n74314 100000\n97693 100000\n95558 100000\n64669 96974\n75960 100000\n40198 60217\n51916 77821\n63720 95548\n14186 21195\n8346 12423\n63949 95907\n14463 21602\n23009 34450\n41886 62766\n87275 100000\n66469 99702\n67129 100000\n7116 10609\n42526 63722\n27375 40956\n67693 100000\n29185 43633\n89895 100000\n39835 59676\n48547 72755\n15127 22598\n10033 14980\n76211 100000\n54390 81530\n35706 53434\n53025 79511\n72558 100000\n44656 66888\n946 1416\n40599 60836\n2550 3824\n31983 47863\n2227 3332\n27823 41615\n85837 100000\n78442 100000\n58473 87647\n13693 20464\n24427 36571\n54111 81115\n41390 62025\n89570 100000\n3200 4769\n64206 96279\n31797 47580\n3886 5773\n48205 72248\n80608 100000\n44215 66257\n35538 53190\n85900 100000\n91152 100000\n85116 100000\n69979 100000\n23240 34788\n17879 26738\n79327 100000\n54434 81595\n19115 28585\n39937 59823\n74098 100000\n63322 94972\n26620 39852\n14598 21806\n7104 10590\n89256 100000\n81653 100000\n7361 10978\n16672 24911\n23547 35245\n50691 75981\n9061 13511\n42 61\n63847 95749\n87493 100000\n74736 100000\n45126 67601\n40501 60675\n23300 34883\n19047 28478\n24319 36402\n86893 100000\n19719 29485\n38966 58357\n45062 67493\n97194 100000\n38510 57689\n39127 58606\n42791 64111\n60423 90608\n51819 77676\n22830 34177\n71415 100000\n83888 100000\n60096 90102\n65001 97472\n17776 26570\n15757 23556\n43114 64606\n86028 100000\n97641 100000\n98644 100000\n4574 6800\n32281 48309\n52049 78016\n63846 95748\n40857 61238\n18747 28031\n4861 7228\n2077 3113\n4028 5982\n11058 16500\n4944 7353\n32882 49183\n42142 63150\n43290 64870\n71957 100000\n16609 24821\n89872 100000\n76127 100000\n75839 100000\n86906 100000\n86726 100000\n10755 16045\n23428 35065\n32776 49020\n45776 68583\n35969 53841\n85832 100000\n81598 100000\n3099 4619\n43269 64836\n98252 100000\n36252 54285\n77880 100000\n185 269\n32802 49060\n48376 72501\n69542 100000\n39580 59295\n51636 77399\n39577 59292\n67206 100000\n21275 31823\n99887 100000\n99689 100000\n9374 13980\n40084 60045\n95787 100000\n92928 100000\n22095 33057\n67448 100000\n88356 100000\n93640 100000\n83201 100000\n33405 49964\n42076 63053\n12304 18409\n20924 31288\n68749 100000\n77848 100000\n23012 34453\n79904 100000\n19796 29603\n54412 81561\n18360 27446\n92627 100000\n96953 100000\n20073 30002\n10992 16403\n57742 86552\n30718 45954\n28692 42900\n92332 100000\n78219 100000\n98467 100000\n37157 55647\n69597 100000\n83002 100000\n29775 44535\n58399 87541\n75537 100000\n51690 77485\n87401 100000\n22953 34368\n16708 24965\n65971 98951\n72334 100000\n52637 78902\n7299 10886\n27800 41578\n89213 100000\n89729 100000\n5822 8669\n72714 100000\n98403 100000\n8965 13372\n46235 69271\n5103 7600\n81378 100000\n42720 64009\n44529 66706\n85103 100000\n46236 69272\n65215 97803\n34068 50961\n31131 46570\n59429 89075\n90032 100000\n79747 100000\n37304 55871\n16942 25317\n24748 37049\n3661 5443\n67441 100000\n76037 100000\n48351 72464\n55076 82547\n16149 24145\n19766 29561\n32621 48791\n94710 100000\n52158 78179\n22680 33943\n31203 46677\n93464 100000\n99871 100000\n97667 100000\n3803 5651\n95689 100000\n79995 100000\n27617 41310\n46126 69109\n30037 44926\n71455 100000\n8756 13045\n59999 89953\n43359 64973\n80590 100000\n60502 90726\n67936 100000\n92446 100000\n80352 100000\n64897 97318\n43458 65133\n19930 29798\n75820 100000\n45845 68681\n6070 9046\n84623 100000\n60712 91050\n99674 100000\n43828 65685\n31818 47616\n74204 100000\n7924 11802\n66355 99530\n50144 75168\n73982 100000\n71834 100000\n39303 58872\n66973 100000\n5464 8143\n62267 93398\n91288 100000\n75369 100000\n87716 100000\n82071 100000\n26296 39365\n1475 2203\n88712 100000\n46842 70199\n64331 96467\n43946 65862\n44989 67391\n30438 45522\n23822 35654\n43264 64829\n77955 100000\n59465 89134\n62143 93214\n19604 29323\n249 369\n52510 78712\n38396 57514\n32309 48349\n60962 91422\n72266 100000\n60661 90971\n51021 76483\n33698 50404\n74364 100000\n53099 79607\n97540 100000\n38250 57285\n69888 100000\n28672 42871\n53568 80302\n75812 100000\n96304 100000\n98748 100000\n66148 99218\n76464 100000\n33141 49580\n13934 20824\n15450 23090\n29320 43833\n1042 1560\n51360 76992\n90397 100000\n8354 12434\n39477 59146\n8419 12530\n92454 100000\n32757 48992\n64459 96663\n28178 42143\n60282 90390\n6432 9585\n75095 100000\n69982 100000\n17361 25948\n64604 96874\n21024 31436\n96367 100000\n14095 21061\n24049 35993\n70334 100000\n61010 91493\n41805 62638\n90586 100000\n72307 100000\n44128 66131\n80076 100000\n79450 100000\n33390 49945\n55475 83145\n15500 23164\n85191 100000\n75375 100000\n62960 94423\n67314 100000\n60929 91370\n81641 100000\n79644 100000\n23814 35642\n29746 44486\n87443 100000\n29691 44408\n65264 97878\n19561 29255\n38305 57369\n38598 57817\n31769 47537\n73252 100000\n85052 100000\n8255 12285\n18096 27052\n6558 9772\n84522 100000\n6803 10134\n59870 89756\n89296 100000\n44278 66340\n31539 47194\n13906 20786\n43339 64944\n74312 100000\n45611 68329\n81973 100000\n41770 62589\n24868 37224\n40640 60896\n52353 78469\n16692 24940\n29161 43598\n92375 100000\n92116 100000\n74245 100000\n732 1093\n31008 46392\n10732 16009\n27232 40750\n31662 47376\n17165 25645\n81600 100000\n46398 69521\n50272 75359\n7344 10951\n29004 43362\n39026 58448\n57917 86815\n35569 53234\n10355 15454\n57221 85758\n68911 100000\n55708 83480\n39928 59810\n51686 77477\n57955 86872\n65024 97507\n85485 100000\n68361 100000\n73817 100000\n18326 27396\n93393 100000\n95115 100000\n72343 100000\n80482 100000\n93726 100000\n39886 59751\n86034 100000\n90705 100000\n16923 25285\n46041 68981\n49872 74763\n30168 45122\n53204 79761\n64731 97066\n89994 100000\n13347 19959\n84851 100000\n80904 100000\n53969 80903\n75544 100000\n45161 67652\n91137 100000\n30703 45928\n76734 100000\n17162 25640\n46278 69336\n24994 37412\n55318 82909\n30048 44942\n62718 94060\n94740 100000\n37522 56203\n33123 49554\n34914 52233\n29651 44342\n39635 59373\n43256 64814\n4673 6948\n7113 10604\n86778 100000\n7790 11606\n98371 100000\n93610 100000\n92876 100000\n80413 100000\n11594 17326\n19435 29061\n88136 100000\n52925 79355\n56863 85235\n18139 27114\n22388 33512\n64375 96536\n85892 100000\n29757 44506\n34920 52242\n31580 47256\n26581 39791\n81628 100000\n65229 97823\n16801 25101\n88685 100000\n3802 5649\n55678 83437\n39642 59383\n60306 90429\n89378 100000\n74947 100000\n70180 100000\n60433 90621\n808 1209\n8359 12442\n92601 100000\n47228 70790\n90736 100000\n74428 100000\n33843 50622\n34743 51974\n22938 34346\n91628 100000\n36127 54093\n82184 100000\n92752 100000\n921 1378\n31391 46967\n57171 85682\n59055 88518\n41235 61801\n28013 41897\n18887 28240\n54997 82433\n59022 88468\n29802 44576\n83967 100000\n91766 100000\n93213 100000\n28957 43289\n3475 5161\n9182 13692\n46083 69043\n91584 100000\n76339 100000\n84218 100000\n8399 12501\n78720 100000\n30043 44934\n51024 76487\n19932 29802\n6655 9910\n37267 55812\n70165 100000\n90613 100000\n51700 77501\n95752 100000\n23374 34985\n61718 92580\n34108 51023\n5638 8393\n85632 100000\n77563 100000\n20942 31314\n56954 85365\n40820 61183\n44785 67080\n44050 66011\n91245 100000\n36482 54626\n24287 36349\n65918 98864\n40096 60062\n33326 49845\n80731 100000\n52304 78400\n62304 93452\n54611 81856\n60412 90589\n4913 7306\n25889 38746\n3174 4728\n70074 100000\n89019 100000\n17324 25886\n5331 7936\n83412 100000\n57136 85631\n51309 76914\n30909 46250\n15318 22886\n34519 51649\n7644 11400\n77575 100000\n53322 79940\n16310 24378\n99834 100000\n52483 78674\n97985 100000\n73848 100000\n69464 100000\n98805 100000\n83870 100000\n51965 77896\n12113 18129\n70768 100000\n87736 100000\n65704 98553\n81661 100000\n58875 88254\n80940 100000\n67776 100000\n14000 20924\n93731 100000\n55007 82448\n4068 6039\n55783 83595\n22744 34040\n98852 100000\n95451 100000\n66901 100000\n82346 100000\n46239 69276\n29319 43832\n20927 31293\n6618 9856\n20067 29993\n64040 96038\n71078 100000\n78658 100000\n63065 94585\n31240 46735\n38801 58117\n68920 100000\n44905 67258\n58352 87466\n39418 59057\n6239 9306\n80243 100000\n76300 100000\n98015 100000\n30114 45044\n89544 100000\n41780 62602\n2837 4232\n41045 61523\n74304 100000\n46971 70399\n9011 13440\n59175 88695\n50061 75050\n80580 100000\n75556 100000\n7173 10699\n6408 9553\n12570 18792\n31031 46426\n47267 70844\n97655 100000\n54744 82056\n13566 20287\n46000 68918\n3505 5207\n59122 88615\n45573 68270\n21985 32893\n5115 7617\n82004 100000\n38160 57152\n34199 51159\n56654 84916\n81522 100000\n82813 100000\n15617 23345\n96518 100000\n34254 51248\n90099 100000\n97718 100000\n87352 100000\n31476 47101\n79398 100000\n14665 21910\n26468 39625\n58309 87407\n53792 80644\n28141 42090\n59520 89218\n94843 100000\n74899 100000\n34205 51168\n88214 100000\n13115 19611\n74639 100000\n89500 100000\n62944 94401\n36135 54104\n6469 9641\n42774 64088\n86531 100000\n19145 28626\n80389 100000\n2555 3831\n59405 89041\n31292 46816\n15126 22597\n10989 16398\n30161 45110\n66448 99668\n58789 88126\n80072 100000\n79925 100000\n27695 41427\n20897 31249\n64197 96267\n25434 38069\n57650 86410\n28963 43299\n31449 47060\n80096 100000\n12761 19085\n50660 75929\n37355 55948\n54911 82303\n62805 94193\n97900 100000\n17370 25959\n8899 13269\n19288 28842\n32920 49240\n87150 100000\n16405 24516\n66892 100000\n85164 100000\n27315 40868\n41947 62858\n82629 100000\n99097 100000\n23429 35067\n40161 60161\n40278 60338\n72987 100000\n56414 84555\n34352 51398\n89271 100000\n34765 52005\n5528 8237\n15655 23403\n81242 100000\n51416 77078\n74237 100000\n15834 23672\n34977 52330\n92619 100000\n63506 95236\n737 1101\n25672 38424\n61585 92369\n65362 98041\n94019 100000\n63583 95348\n78374 100000\n91170 100000\n6807 10139\n92580 100000\n7076 10548\n30273 45278\n41135 61652\n80595 100000\n67590 100000\n12881 19264\n58094 87080\n72487 100000\n42554 63764\n78564 100000\n10449 15604\n11958 17889\n48561 72778\n31160 46611\n7529 11227\n52195 78239\n34001 50863\n7775 11586\n8529 12710\n4315 6416\n28192 42165\n60406 90578\n25556 38246\n31247 46745\n94108 100000\n71846 100000\n39834 59675\n44956 67339\n5711 8500\n26910 40275\n76593 100000\n76444 100000\n22126 33110\n88705 100000\n1720 2565\n63079 94607\n27682 41408\n45306 67877\n57549 86250\n52831 79209\n76417 100000\n31228 46714\n26948 40331\n39289 58852\n51524 77234\n10525 15708\n32604 48765\n86934 100000\n83020 100000\n4763 7079\n34842 52121\n73597 100000\n11035 16469\n49468 74156\n10046 14998\n95536 100000\n46153 69151\n51990 77931\n36716 54987\n30604 45779\n42153 63166\n17530 26201\n86391 100000\n19494 29152\n69073 100000\n64109 96138\n48265 72339\n1913 2862\n94465 100000\n29984 44849\n12364 18489\n10093 15066\n82682 100000\n41988 62923\n57416 86050\n12521 18721\n19035 28460\n20632 30854\n52691 78990\n28442 42541\n32436 48529\n18816 28130\n97362 100000\n81519 100000\n48969 73390\n40342 60438\n62151 93228\n81572 100000\n25357 37954\n11559 17271\n54734 82042\n28279 42299\n1166 1742\n96411 100000\n85852 100000\n53103 79614\n98866 100000\n6539 9747\n73859 100000\n16652 24882\n81467 100000\n54935 82340\n24784 37104\n97019 100000\n92703 100000\n24593 36820\n36279 54325\n38390 57504\n3708 5514\n56982 85404\n71091 100000\n11823 17681\n97167 100000\n97068 100000\n97754 100000\n21593 32298\n59938 89858\n79694 100000\n74319 100000\n21358 31943\n50426 75588\n20667 30907\n36176 54169\n77748 100000\n90860 100000\n16065 24020\n79099 100000\n91441 100000\n36998 55406\n62376 93555\n88521 100000\n8084 12029\n68444 100000\n85941 100000\n37982 56883\n30789 46063\n5274 7853\n14413 21530\n73914 100000\n2255 3374\n96396 100000\n63636 95422\n45331 67915\n22702 33976\n1489 2222\n32058 47969\n41705 62490\n94042 100000\n83056 100000\n1565 2336\n740 1105\n23678 35442\n4362 6488\n13262 19827\n62495 93729\n95535 100000\n4772 7092\n9365 13967\n91620 100000\n766 1146\n14314 21385\n71819 100000\n14754 22042\n65420 98130\n9372 13977\n68453 100000\n59618 89373\n69161 100000\n18859 28199\n17783 26581\n84471 100000\n49053 73519\n60779 91148\n5805 8643\n69006 100000\n64222 96304\n16930 25298\n29195 43647\n46643 69893\n26308 39383\n88148 100000\n22378 33496\n25414 38039\n50902 76304\n10528 15712\n15409 23021\n10214 15240\n15905 23778\n19853 29687\n55596 83319\n15618 23347\n8916 13297\n86020 100000\n2711 4048\n32601 48760\n11316 16893\n49929 74852\n9537 14229\n8192 12192\n14633 21863\n44680 66928\n18463 27597\n25027 37463\n77313 100000\n63556 95311\n18729 28005\n76360 100000\n34313 51339\n39090 58547\n13178 19710\n71151 100000\n18553 27734\n60313 90442\n71849 100000\n26143 39137\n34237 51220\n33157 49603\n92106 100000\n63892 95819\n60390 90557\n28658 42848\n64447 96645\n57615 86355\n39384 59003\n91145 100000\n18922 28289\n25851 38693\n38179 57179\n36292 54344\n92879 100000\n74303 100000\n74285 100000\n44713 66975\n42923 64322\n95403 100000\n97474 100000\n41342 61950\n64159 96214\n74623 100000\n92630 100000\n83053 100000\n55011 82452\n10512 15690\n19620 29344\n85178 100000\n71917 100000\n89240 100000\n37253 55790\n25958 38855\n71098 100000\n67645 100000\n67986 100000\n52202 78250\n38620 57849\n66920 100000\n86328 100000\n15799 23618\n43344 64952\n41455 62125\n76720 100000\n37592 56308\n92846 100000\n38349 57440\n71907 100000\n7244 10801\n73115 100000\n95137 100000\n56012 83948\n61725 92590\n85541 100000\n70309 100000\n24716 37000\n93658 100000\n35653 53355\n97560 100000\n93443 100000\n61095 91621\n40826 61193\n22989 34420\n74486 100000\n42152 63165\n35322 52841\n318 470\n47986 71926\n95456 100000\n25752 38540\n27570 41240\n81364 100000\n99379 100000\n9051 13500\n56738 85046\n35829 53628\n73238 100000\n47679 71458\n87 129\n33098 49514\n21885 32749\n71761 100000\n41783 62606\n53967 80901\n97861 100000\n51540 77259\n14216 21240\n33241 49722\n10517 15697\n77038 100000\n63059 94574\n35742 53495\n20978 31367\n99813 100000\n88043 100000\n43105 64594\n34759 51996\n98578 100000\n91545 100000\n19730 29503\n17120 25579\n89112 100000\n91089 100000\n46177 69186\n77283 100000\n77719 100000\n60808 91191\n70843 100000\n8938 13330\n72685 100000\n29809 44584\n47399 71042\n30241 45233\n9889 14761\n54468 81646\n6829 10173\n39283 58843\n75254 100000\n51573 77310\n52101 78095\n22484 33650\n13524 20222\n280 412\n21689 32445\n24558 36769\n72181 100000\n19556 29247\n29203 43658\n50348 75474\n32982 49331\n48649 72906\n19304 28868\n9687 14448\n93469 100000\n60766 91131\n3937 5848\n52495 78691\n20071 29998\n39232 58767\n6375 9501\n31385 46959\n98388 100000\n71820 100000\n94657 100000\n34690 51899\n69970 100000\n24675 36941\n74733 100000\n81329 100000\n47123 70629\n1744 2600\n12417 18569\n31405 46991\n22151 33147\n81136 100000\n57111 85599\n73033 100000\n66023 99030\n40284 60347\n15225 22747\n45173 67671\n15614 23340\n91214 100000\n60341 90483\n96413 100000\n42674 63941\n15694 23459\n2071 3105\n43628 65387\n39855 59703\n91551 100000\n17155 25630\n55478 83148\n88609 100000\n70951 100000\n3485 5176\n32202 48190\n96622 100000\n7507 11195\n84433 100000\n10853 16191\n73500 100000\n60081 90083\n11171 16669\n10182 15188\n89140 100000\n30457 45553\n29065 43459\n62829 94229\n81278 100000\n75935 100000\n9241 13779\n83171 100000\n23532 35221\n65068 97572\n19700 29456\n89618 100000\n2880 4300\n41372 61998\n5057 7535\n1162 1736\n16171 24174\n39444 59096\n97537 100000\n74066 100000\n87205 100000\n75597 100000\n22411 33541\n33401 49959\n69661 100000\n2962 4420\n99561 100000\n34434 51525\n78860 100000\n6184 9224\n86445 100000\n97460 100000\n52045 78011\n30502 45618\n85162 100000\n15983 23902\n45060 67489\n90791 100000\n84912 100000\n66865 100000\n26302 39375\n96702 100000\n74105 100000\n48772 73090\n41199 61750\n38086 57045\n24624 36868\n6586 9812\n97909 100000\n63493 95218\n15053 22490\n73222 100000\n97743 100000\n14672 21920\n25839 38676\n18037 26961\n82515 100000\n97669 100000\n76808 100000\n52268 78347\n55133 82628\n15410 23022\n23432 35073\n67684 100000\n66540 99808\n20637 30861\n56926 85329\n27412 41013\n2415 3617\n69266 100000\n28781 43035\n44250 66304\n72536 100000\n8176 12168\n5960 8878\n78935 100000\n67084 100000\n38239 57267\n25159 37655\n73581 100000\n46069 69024\n20492 30637\n6123 9126\n89453 100000\n91336 100000\n31174 46632\n59233 88782\n17735 26512\n77532 100000\n77125 100000\n21843 32681\n41451 62118\n19868 29712\n22390 33515\n67447 100000\n53651 80429\n67367 100000\n37802 56614\n28338 42388\n18965 28354\n98914 100000\n19568 29267\n97030 100000\n28026 41912\n23149 34647\n96244 100000\n94090 100000\n42108 63102\n23969 35871\n80131 100000\n40669 60943\n99155 100000\n39141 58629\n83010 100000\n81866 100000\n35532 53182\n93806 100000\n90187 100000\n85347 100000\n62309 93461\n86433 100000\n21822 32646\n60260 90357\n55725 83505\n64892 97310\n68307 100000\n3435 5101\n59724 89536\n54403 81550\n86761 100000\n65391 98082\n39820 59652\n48135 72152\n24292 36357\n30283 45294\n88715 100000\n142 208\n59779 89622\n60980 91447\n78440 100000\n18257 27291\n83801 100000\n31704 47441\n31702 47437\n97720 100000\n94315 100000\n6289 9378\n4887 7266\n97481 100000\n71050 100000\n10747 16033\n82041 100000\n88046 100000\n4096 6080\n26430 39568\n49287 73875\n31298 46826\n69918 100000\n97522 100000\n5698 8478\n11191 16702\n39913 59788\n90975 100000\n7606 11342\n36391 54495\n36163 54146\n43671 65449\n52259 78334\n80500 100000\n43239 64787\n24057 36003\n81801 100000\n20497 30645\n17260 25788\n32643 48821\n13187 19725\n62801 94186\n58099 87086\n44387 66498\n68845 100000\n5222 7779\n88547 100000\n85899 100000\n81138 100000\n75458 100000\n16526 24702\n77829 100000\n70708 100000\n95646 100000\n45678 68431\n84998 100000\n11617 17364\n85595 100000\n66996 100000\n23786 35594\n61611 92413\n97486 100000\n16123 24104\n99715 100000\n59161 88674\n58754 88070\n3732 5553\n94669 100000\n24970 37372\n65797 98689\n24275 36331\n875 1312\n18044 26971\n16743 25016\n68949 100000\n89964 100000\n65755 98632\n94458 100000\n1770 2641\n62491 93722\n71293 100000\n66799 100000\n97955 100000\n64165 96221\n46065 69019\n71082 100000\n49801 74657\n40177 60183\n9080 13539\n99261 100000\n53535 80249\n76293 100000\n26103 39069\n64163 96219\n3219 4796\n97751 100000\n96328 100000\n23426 35061\n51822 77680\n17113 25569\n92081 100000\n21364 31952\n83999 100000\n5934 8839\n25520 38195\n17479 26126\n44221 66265\n63701 95521\n26019 38942\n39888 59753\n61756 92634\n99639 100000\n68274 100000\n88780 100000\n99311 100000\n76256 100000\n16873 25210\n20473 30607\n24656 36913\n13678 20441\n2782 4147\n61326 91984\n80106 100000\n84196 100000\n72897 100000\n76667 100000\n72569 100000\n47843 71712\n99304 100000\n30647 45845\n79529 100000\n25274 37828\n63031 94531\n52484 78675\n93416 100000\n49800 74656\n53868 80755\n90978 100000\n95875 100000\n72028 100000\n97404 100000\n26035 38965\n50913 76320\n54050 81020\n5548 8267\n77514 100000\n50084 75083\n22159 33158\n64991 97458\n29551 44187\n35601 53280\n99247 100000\n61587 92373\n61521 92272\n35374 52925\n17673 26419\n23759 35552\n65551 98326\n15586 23298\n63448 95153\n72956 100000\n11320 16899\n99496 100000\n15237 22768\n11796 17639\n7007 10447\n65135 97680\n47414 71064\n37021 55441\n69191 100000\n58752 88068\n4350 6470\n78269 100000\n78746 100000\n11483 17151\n1470 2196\n29996 44866\n32528 48660\n33527 50149\n70936 100000\n45244 67782\n72045 100000\n67813 100000\n74205 100000\n52589 78831\n80403 100000\n73827 100000\n13074 19553\n90611 100000\n42489 63666\n37904 56770\n92895 100000\n34163 51108\n92448 100000\n45136 67616\n37152 55638\n17209 25709\n45991 68903\n73784 100000\n48798 73131\n39801 59622\n72719 100000\n37788 56596\n74877 100000\n30686 45903\n17805 26622\n42367 63486\n88602 100000\n20888 31235\n28880 43184\n24938 37323\n8718 12990\n23520 35205\n52370 78495\n25022 37455\n40689 60973\n80614 100000\n62988 94467\n56327 84422\n13578 20305\n63027 94526\n20688 30936\n25779 38586\n49344 73965\n97973 100000\n29664 44365\n29925 44760\n54622 81869\n32363 48424\n32104 48040\n23162 34666\n76149 100000\n99278 100000\n15319 22888\n75746 100000\n35263 52757\n80497 100000\n64824 97209\n62316 93471\n58033 86986\n46579 69795\n55689 83452\n89781 100000\n448 668\n83590 100000\n70753 100000\n39885 59749\n4473 6652\n28648 42833\n94890 100000\n86756 100000\n30354 45396\n93189 100000\n43727 65531\n14278 21334\n38261 57301\n88821 100000\n74849 100000\n64003 95986\n37502 56174\n34546 51686\n621 928\n95758 100000\n22804 34134\n75101 100000\n33033 49411\n65534 98301\n38265 57307\n56201 84233\n64531 96768\n25721 38498\n35012 52385\n21595 32300\n30221 45202\n62135 93203\n13175 19705\n51326 76940\n77622 100000\n47782 71618\n83926 100000\n24384 36504\n34883 52182\n9195 13708\n46690 69968\n20383 30474\n66814 100000\n63321 94971\n67516 100000\n59404 89040\n66788 100000\n48071 72055\n23808 35630\n72983 100000\n91082 100000\n76038 100000\n21148 31627\n44601 66811\n66842 100000\n67320 100000\n93691 100000\n92544 100000\n7696 11478\n77752 100000\n2985 4453\n99872 100000\n63914 95856\n31129 46568\n78276 100000\n35503 53135\n27211 40722\n96516 100000\n65767 98647\n63086 94620\n1226 1835\n11875 17765\n89805 100000\n34371 51429\n20625 30842\n71386 100000\n88505 100000\n14108 21081\n5312 7907\n12888 19273\n86103 100000\n37841 56671\n83643 100000\n85829 100000\n37168 55667\n73129 100000\n629 941\n21208 31718\n11489 17161\n53416 80072\n69439 100000\n66906 100000\n68507 100000\n49101 73594\n43731 65537\n27133 40609\n71918 100000\n30174 45132\n19692 29446\n15987 23907\n54211 81267\n3266 4867\n14541 21721\n14487 21641\n94450 100000\n43411 65061\n35926 53778\n38354 57449\n23205 34733\n14746 22030\n16363 24457\n34104 51018\n79909 100000\n22638 33884\n29228 43700\n50385 75532\n99479 100000\n154 227\n20947 31324\n91756 100000\n43425 65082\n24212 36242\n71359 100000\n85016 100000\n71835 100000\n72608 100000\n78184 100000\n31574 47248\n42228 63277\n16432 24556\n90185 100000\n83542 100000\n40360 60465\n55619 83350\n40608 60847\n11523 17217\n11979 17919\n87338 100000\n50582 75815\n1006 1507\n22629 33870\n32838 49114\n67251 100000\n54612 81857\n14260 21305\n21794 32602\n22384 33507\n40796 61144\n24669 36932\n60554 90807\n64199 96270\n63473 95191\n67967 100000\n8140 12115\n51833 77696\n6981 10409\n61741 92615\n5303 7895\n60796 91176\n7468 11135\n1164 1739\n70733 100000\n61497 92236\n51374 77017\n97913 100000\n49583 74331\n14632 21861\n495 737\n61929 92893\n16165 24166\n43856 65728\n81764 100000\n99853 100000\n57266 85824\n25962 38859\n77194 100000\n27764 41525\n49192 73737\n31285 46805\n87059 100000\n99507 100000\n55185 82708\n12479 18658\n70930 100000\n37290 55849\n74991 100000\n44282 66346\n26757 40052\n39334 58922\n86331 100000\n39337 58926\n54034 80998\n17686 26438\n69566 100000\n85694 100000\n88888 100000\n11584 17309\n37312 55884\n58814 88168\n24453 36609\n26869 40212\n78436 100000\n59917 89823\n62207 93310\n27019 40431\n32620 48789\n74126 100000\n41012 61468\n19194 28699\n77618 100000\n25413 38037\n92939 100000\n94500 100000\n8363 12449\n7562 11274\n62518 93764\n97790 100000\n36714 54984\n74757 100000\n78339 100000\n45581 68281\n84169 100000\n18938 28312\n7021 10468\n71661 100000\n74387 100000\n78560 100000\n29854 44653\n51357 76988\n46499 69679\n93812 100000\n41792 62619\n19038 28464\n31655 47364\n98912 100000\n44865 67197\n27392 40982\n50329 75444\n68400 100000\n11137 16616\n63267 94890\n40062 60013\n52225 78284\n58335 87442\n97375 100000\n29842 44632\n58503 87697\n71007 100000\n35158 52600\n59469 89141\n29776 44537\n78506 100000\n62255 93382\n75148 100000\n13220 19769\n81219 100000\n17468 26111\n53004 79479\n46130 69116\n89637 100000\n55675 83432\n98950 100000\n41811 62649\n32649 48829\n80564 100000\n14796 22105\n26938 40313\n26607 39832\n37774 56578\n74449 100000\n60199 90262\n14703 21965\n87792 100000\n97633 100000\n72009 100000\n59719 89527\n82589 100000\n35997 53885\n88100 100000\n8046 11972\n73557 100000\n18311 27372\n40223 60256\n81877 100000\n77805 100000\n56896 85285\n36340 54414\n21617 32336\n4937 7343\n85360 100000\n14838 22169\n28797 43061\n63532 95277\n25017 37448\n23858 35705\n49580 74327\n12834 19195\n26326 39413\n12291 18394\n20763 31055\n48735 73029\n2509 3758\n49312 73910\n75705 100000\n92867 100000\n54121 81131\n33888 50691\n17937 26816\n71731 100000\n54298 81395\n94268 100000\n24892 37260\n91529 100000\n1508 2250\n55748 83540\n66407 99609\n41178 61723\n8311 12371\n99140 100000\n50939 76359\n73032 100000\n4798 7133\n17358 25943\n36290 54342\n39663 59414\n18018 26932\n73702 100000\n8198 12201\n43263 64827\n36866 55218\n48862 73225\n14048 20993\n45577 68275\n91984 100000\n70887 100000\n69681 100000\n61184 91753\n69508 100000\n32729 48948\n47188 70731\n66000 98997\n42981 64409\n89501 100000\n71875 100000\n11729 17536\n35759 53519\n98544 100000\n36941 55319\n16508 24674\n1077 1615\n20602 30805\n62710 94048\n97972 100000\n83792 100000\n35901 53741\n11466 17124\n97967 100000\n43918 65823\n72889 100000\n86025 100000\n59924 89837\n23873 35731\n97971 100000\n88203 100000\n90372 100000\n66772 100000\n16524 24698\n12741 19054\n67023 100000\n85184 100000\n51897 77791\n5410 8061\n77398 100000\n1987 2979\n47526 71235\n7598 11330\n15133 22610\n32156 48116\n95220 100000\n67531 100000\n70118 100000\n83686 100000\n54410 81559\n88583 100000\n87082 100000\n88950 100000\n82562 100000\n70689 100000\n62483 93709\n75284 100000\n38039 56972\n32351 48409\n55960 83872\n73493 100000\n89676 100000\n36139 54111\n85700 100000\n14194 21204\n66770 100000\n62770 94137\n85098 100000\n65263 97877\n6875 10249\n42362 63477\n72773 100000\n35458 53062\n31897 47731\n6148 9171\n67114 100000\n39871 59728\n41472 62152\n28161 42121\n16700 24952\n77701 100000\n14210 21230\n61833 92744\n62713 94052\n10211 15234\n20223 30219\n68283 100000\n56380 84504\n51129 76643\n70354 100000\n19807 29620\n36542 54720\n57794 86624\n70604 100000\n43008 64450\n11832 17694\n78539 100000\n57515 86201\n26831 40159\n10971 16371\n77433 100000\n20511 30667\n47319 70924\n64303 96425\n50497 75692\n16908 25262\n42165 63185\n87615 100000\n79181 100000\n58601 87839\n13050 19516\n55558 83265\n20699 30956\n29799 44572\n15102 22562\n90287 100000\n3235 4819\n94154 100000\n33941 50777\n81822 100000\n52149 78166\n69631 100000\n37477 56137\n92900 100000\n21277 31826\n72074 100000\n64654 96953\n94838 100000\n31033 46428\n22515 33697\n57577 86293\n37685 56445\n89058 100000\n11180 16684\n88453 100000\n22712 33994\n78521 100000\n37007 55421\n50704 76001\n26535 39720\n49148 73668\n93207 100000\n90457 100000\n12893 19281\n39251 58794\n26588 39800\n3866 5741\n84231 100000\n51409 77066\n27930 41769\n690 1035\n45071 67509\n47376 71009\n90023 100000\n92485 100000\n19699 29454\n41148 61672\n27578 41251\n67194 100000\n53435 80102\n37031 55458\n6371 9496\n76491 100000\n34008 50873\n96989 100000\n90065 100000\n73505 100000\n34962 52306\n2987 4455\n96789 100000\n70241 100000\n56080 84041\n99541 100000\n47048 70510\n65953 98923\n44211 66252\n84909 100000\n53714 80524\n40020 59950\n96598 100000\n28873 43172\n56747 85059\n11671 17445\n17523 26190\n49272 73852\n53155 79688\n20468 30601\n12039 18016\n54610 81855\n20995 31392\n20437 30557\n99375 100000\n35702 53427\n50000 74961\n66446 99665\n69567 100000\n10907 16273\n14374 21471\n46452 69609\n12307 18412\n29017 43385\n23389 35007\n20167 30139\n4378 6512\n33717 50435\n7183 10713\n47816 71669\n3279 4885\n98995 100000\n76151 100000\n43018 64466\n84970 100000\n73921 100000\n45655 68397\n54685 81965\n66534 99799\n68498 100000\n2993 4466\n78159 100000\n54516 81722\n63574 95336\n16557 24746\n28642 42823\n49926 74848\n99807 100000\n19064 28506\n57255 85809\n48817 73158\n51488 77179\n30379 45436\n5211 7764\n79153 100000\n32457 48561\n95503 100000\n6573 9794\n52367 78491\n35553 53211\n20524 30687\n44586 66789\n97556 100000\n2323 3478\n12374 18505\n12206 18260\n18700 27961\n57542 86242\n68450 100000\n75538 100000\n28933 43254\n83149 100000\n2693 4019\n88404 100000\n11292 16858\n73411 100000\n17826 26656\n50736 76054\n15946 23846\n7580 11301\n40372 60482\n72893 100000\n16126 24108\n4079 6055\n43388 65023\n18557 27740\n66434 99648\n69222 100000\n52174 78205\n90612 100000\n43696 65486\n52509 78711\n17806 26624\n21348 31929\n98097 100000\n99412 100000\n3350 4978\n72006 100000\n13063 19537\n40651 60913\n72203 100000\n13954 20854\n57409 86039\n69238 100000\n5304 7897\n77397 100000\n3898 5792\n17892 26755\n45850 68689\n70802 100000\n87827 100000\n45983 68891\n66652 99974\n95458 100000\n69709 100000\n58438 87597\n70658 100000\n76763 100000\n84717 100000\n81755 100000\n37977 56873\n75388 100000\n6470 9643\n32022 47918\n93597 100000\n22155 33153\n46204 69223\n51338 76960\n41350 61963\n68207 100000\n59432 89080\n56482 84660\n62380 93559\n20129 30083\n96637 100000\n44257 66314\n87667 100000\n95279 100000\n75085 100000\n30404 45471\n49781 74628\n90310 100000\n86267 100000\n82327 100000\n83900 100000\n91525 100000\n45492 68150\n18823 28141\n32799 49056\n24509 36694\n97179 100000\n47587 71325\n90335 100000\n92603 100000\n6705 9982\n75103 100000\n50565 75793\n75231 100000\n8249 12279\n25202 37722\n65185 97757\n79213 100000\n8867 13220\n30017 44900\n2158 3232\n23095 34569\n41860 62727\n71700 100000\n45302 67871\n32948 49286\n21957 32851\n3025 4512\n46349 69442\n4839 7195\n33611 50273\n88425 100000\n39969 59874\n20251 30261\n21786 32586\n3573 5311\n24290 36354\n19662 29402\n23740 35525\n44093 66077\n65990 98982\n56686 84965\n74866 100000\n52470 78656\n11263 16815\n12581 18810\n90232 100000\n25459 38108\n22438 33583\n20424 30538\n99672 100000\n43232 64776\n26477 39638\n1481 2211\n96124 100000\n98980 100000\n70351 100000\n63205 94798\n26604 39826\n31698 47430\n54218 81275\n9166 13668\n35435 53020\n88412 100000\n19392 29001\n68405 100000\n65371 98054\n91282 100000\n69779 100000\n591 885\n78998 100000\n98237 100000\n44782 67075\n98037 100000\n37724 56503\n99117 100000\n26349 39446\n32516 48644\n32708 48916\n65464 98195\n2428 3635\n82006 100000\n42113 63109\n28653 42841\n36792 55103\n66465 99697\n69697 100000\n65600 98400\n42932 64336\n33163 49610\n45670 68419\n13605 20340\n52112 78110\n62707 94045\n23977 35882\n54747 82062\n29610 44281\n79891 100000\n15111 22575\n19139 28618\n39073 58521\n5102 7599\n36028 53929\n79169 100000\n4756 7070\n25549 38235\n80444 100000\n48186 72226\n84563 100000\n20136 30094\n53229 79799\n20285 30320\n50461 75637\n36014 53909\n76141 100000\n86524 100000\n18376 27471\n26781 40087\n80318 100000\n13296 19878\n79931 100000\n87599 100000\n63637 95424\n89354 100000\n87497 100000\n3938 5850\n27091 40540\n85030 100000\n20759 31048\n73644 100000\n59605 89352\n7784 11600\n33007 49371\n42438 63596\n39284 58845\n63030 94530\n97951 100000\n27083 40528\n10411 15548\n22487 33656\n49027 73476\n75953 100000\n51595 77342\n55726 83507\n75434 100000\n21072 31509\n75955 100000\n43394 65031\n60914 91349\n34036 50915\n91251 100000\n83587 100000\n30229 45216\n23549 35247\n7501 11185\n45813 68635\n21607 32317\n42899 64278\n63329 94982\n87255 100000\n98750 100000\n80845 100000\n99252 100000\n85240 100000\n63685 95495\n41215 61774\n57240 85785\n38855 58197\n15716 23492\n87628 100000\n11339 16928\n37095 55555\n55595 83318\n22719 34003\n47972 71907\n68412 100000\n3845 5713\n99514 100000\n97345 100000\n43817 65665\n97204 100000\n46314 69392\n59159 88671\n45239 67774\n38576 57784\n11662 17434\n15832 23669\n13052 19518\n36390 54494\n59264 88834\n28183 42150\n86198 100000\n29553 44191\n56218 84260\n56720 85019\n24848 37195\n34090 50994\n24150 36142\n21172 31662\n50507 75706\n79393 100000\n87341 100000\n28849 43133\n96336 100000\n57185 85702\n45582 68283\n94744 100000\n23516 35198\n65180 97751\n92328 100000\n35549 53206\n68272 100000\n16001 23926\n40560 60775\n34025 50899\n98577 100000\n40287 60353\n95977 100000\n13760 20570\n33994 50851\n53982 80922\n12628 18883\n84152 100000\n61270 91894\n55779 83589\n64037 96033\n31658 47369\n1991 2985\n72567 100000\n4576 6803\n33293 49801\n65276 97899\n66282 99419\n98093 100000\n81530 100000\n30548 45689\n73275 100000\n69413 100000\n47218 70775\n41584 62313\n85449 100000\n5065 7545\n70324 100000\n96594 100000\n15042 22475\n9083 13544\n34488 51603\n75577 100000\n37124 55599\n29271 43761\n87804 100000\n82335 100000\n42894 64272\n37660 56411\n31929 47779\n59845 89721\n88954 100000\n98426 100000\n87465 100000\n22270 33324\n33240 49720\n55160 82667\n9760 14562\n66521 99776\n67348 100000\n40709 61007\n60127 90153\n87412 100000\n11476 17142\n56104 84084\n10132 15124\n47071 70549\n7366 10986\n36884 55240\n75966 100000\n92833 100000\n74743 100000\n20607 30813\n95173 100000\n17981 26882\n54663 81930\n42401 63537\n95989 100000\n5137 7648\n51189 76738\n85009 100000\n7477 11148\n95750 100000\n21256 31792\n8717 12988\n943 1411\n19106 28570\n77505 100000\n60536 90782\n60764 91128\n5406 8055\n2351 3521\n88150 100000\n52238 78303\n6320 9424\n32510 48635\n47656 71423\n39299 58866\n92111 100000\n55220 82761\n22876 34249\n80335 100000\n35470 53080\n93577 100000\n94140 100000\n5790 8620\n11753 17575\n36672 54922\n7574 11292\n13556 20270\n65775 98658\n11570 17287\n30853 46166\n13321 19922\n45965 68860\n1615 2401\n56931 85336\n96580 100000\n86574 100000\n83291 100000\n4952 7365\n78859 100000\n42527 63724\n59918 89825\n50722 76030\n23039 34493\n22761 34065\n32704 48910\n28928 43247\n24825 37165\n57529 86225\n73342 100000\n34787 52039\n68639 100000\n59620 89376\n59524 89225\n56721 85020\n83553 100000\n93354 100000\n63715 95540\n28395 42471\n75522 100000\n75707 100000\n82189 100000\n44080 66056\n4303 6400\n9454 14103\n35554 53213\n71198 100000\n22351 33454\n63249 94863\n41234 61799\n37947 56828\n1714 2558\n29555 44195\n78795 100000\n72163 100000\n82595 100000\n46365 69469\n376 551\n67359 100000\n2099 3147\n85064 100000\n63253 94868\n10695 15952\n21850 32695\n50013 74980\n70774 100000\n87575 100000\n84985 100000\n76637 100000\n82130 100000\n3557 5287\n55711 83484\n51911 77814\n13753 20557\n50747 76067\n51602 77352\n75170 100000\n6923 10321\n35743 53497\n74436 100000\n12328 18440\n83532 100000\n99152 100000\n2130 3190\n31872 47693\n28403 42484\n64476 96684\n32765 49003\n62459 93673\n22364 33473\n59342 88948\n48040 72007\n85244 100000\n89854 100000\n79523 100000\n5046 7515\n49125 73631\n71923 100000\n63188 94770\n41401 62046\n30314 45337\n2951 4407\n64675 96984\n82763 100000\n22060 33005\n49631 74403\n513 765\n81518 100000\n30420 45498\n49871 74761\n5286 7872\n54471 81650\n24355 36459\n20547 30719\n84712 100000\n21233 31756\n42035 62993\n40054 60002\n58488 87672\n538 804\n91130 100000\n56888 85272\n14065 21019\n23596 35316\n36102 54054\n99007 100000\n76661 100000\n40630 60880\n42501 63684\n48334 72439\n26335 39426\n34934 52263\n85754 100000\n69201 100000\n12450 18615\n3427 5091\n37509 56185\n25670 38421\n18475 27614\n55156 82660\n54179 81219\n14428 21550\n13264 19831\n47862 71739\n36404 54510\n49299 73891\n5725 8521\n72531 100000\n10752 16040\n1874 2804\n99320 100000\n92094 100000\n67207 100000\n25359 37956\n18850 28184\n6874 10247\n29178 43623\n1318 1972\n96433 100000\n93179 100000\n90851 100000\n84581 100000\n56579 84805\n42585 63807\n54439 81603\n24590 36815\n77119 100000\n54526 81738\n55460 83122\n35327 52849\n94051 100000\n36075 54007\n44677 66923\n84264 100000\n25689 38449\n26398 39521\n50242 75311\n58741 88050\n35778 53549\n60539 90786\n67494 100000\n23899 35769\n68643 100000\n46024 68959\n74917 100000\n11251 16796\n51444 77116\n88535 100000\n42389 63519\n23349 34950\n74547 100000\n68516 100000\n89040 100000\n22806 34138\n5492 8184\n61904 92857\n69384 100000\n37272 55822\n21220 31736\n45037 67456\n57251 85803\n61567 92340\n21420 32035\n47861 71737\n7843 11685\n55746 83538\n94043 100000\n97674 100000\n6196 9243\n83042 100000\n9813 14645\n71360 100000\n36991 55393\n3004 4481\n83344 100000\n5034 7496\n12318 18427\n23495 35170\n22587 33805\n94691 100000\n48159 72188\n22311 33389\n67544 100000\n12924 19327\n45215 67738\n57790 86619\n89310 100000\n85259 100000\n4104 6095\n42829 64171\n34029 50906\n86102 100000\n59832 89703\n32263 48280\n52056 78030\n2486 3722\n81991 100000\n94871 100000\n83513 100000\n74555 100000\n6831 10175\n10353 15451\n72538 100000\n4128 6137\n4475 6655\n3936 5846\n56740 85049\n10939 16322\n10247 15289\n91721 100000\n62880 94303\n79064 100000\n95206 100000\n20608 30815\n23060 34521\n53194 79745\n44030 65980\n9319 13894\n58871 88248\n91077 100000\n27869 41682\n38727 58008\n23998 35917\n85711 100000\n4328 6435\n36230 54250\n44014 65959\n58458 87627\n94303 100000\n24537 36741\n57196 85720\n12117 18135\n81999 100000\n30280 45290\n15917 23800\n66947 100000\n33770 50513\n36403 54509\n59464 89132\n26840 40171\n88772 100000\n57717 86516\n30483 45592\n53484 80174\n96837 100000\n43607 65357\n32293 48328\n2620 3920\n68685 100000\n7717 11511\n9883 14752\n93764 100000\n33162 49608\n19012 28429\n27088 40536\n46931 70333\n79736 100000\n83208 100000\n41935 62840\n34032 50910\n82710 100000\n13472 20146\n85838 100000\n6220 9277\n96217 100000\n86920 100000\n48765 73078\n23628 35362\n36642 54877\n81915 100000\n45091 67543\n45945 68830\n51450 77122\n56253 84310\n79875 100000\n41835 62691\n49708 74515\n90437 100000\n60965 91427\n90599 100000\n56039 83984\n32590 48744\n17521 26187\n92741 100000\n52503 78702\n89055 100000\n84325 100000\n35050 52441\n77661 100000\n30708 45936\n68819 100000\n91054 100000\n22829 34175\n55411 83048\n88918 100000\n67286 100000\n59413 89055\n74023 100000\n93661 100000\n9383 13993\n66164 99244\n48052 72027\n60349 90495\n13256 19817\n86227 100000\n57108 85596\n25618 38342\n81003 100000\n71169 100000\n34635 51817\n12453 18620\n43593 65336\n24616 36856\n48747 73048\n13735 20528\n32723 48939\n67657 100000\n60353 90501\n23409 35039\n47553 71275\n76653 100000\n37261 55803\n98070 100000\n19343 28929\n43506 65204\n51147 76670\n29538 44167\n18945 28323\n57935 86843\n46095 69058\n73322 100000\n92285 100000\n44103 66092\n70629 100000\n63100 94641\n39726 59508\n50092 75094\n6692 9963\n55807 83632\n39176 58679\n76616 100000\n69618 100000\n86846 100000\n25353 37948\n12480 18660\n3695 5493\n23681 35445\n27954 41805\n73820 100000\n50779 76118\n82124 100000\n83499 100000\n76315 100000\n81912 100000\n73231 100000\n85384 100000\n81758 100000\n50977 76419\n27138 40616\n1919 2870\n77155 100000\n1752 2614\n8147 12126\n96204 100000\n66833 100000\n15251 22788\n18617 27824\n47332 70941\n34357 51407\n29461 44048\n74833 100000\n80261 100000\n70740 100000\n24394 36519\n7327 10929\n38807 58126\n64509 96733\n9416 14042\n13879 20746\n89045 100000\n80952 100000\n49951 74884\n34323 51354\n16220 24249\n55878 83746\n57581 86300\n8487 12642\n97 142\n44967 67356\n64582 96841\n45640 68376\n95014 100000\n66692 100000\n49353 73978\n90994 100000\n46917 70314\n99879 100000\n46396 69518\n21637 32366\n8044 11969\n6411 9557\n30432 45516\n73327 100000\n616 919\n78584 100000\n46891 70272\n62579 93853\n69691 100000\n76769 100000\n12188 18233\n33847 50627\n1273 1906\n22215 33239\n90119 100000\n22534 33726\n43570 65301\n26368 39478\n46739 70041\n14066 21021\n10681 15933\n40800 61150\n42947 64361\n35732 53478\n97858 100000\n37147 55632\n5117 7619\n12254 18337\n66758 100000\n29153 43586\n38772 58075\n56026 83965\n87224 100000\n50001 74962\n85756 100000\n72802 100000\n52465 78647\n8537 12722\n35991 53876\n4742 7047\n84565 100000\n9993 14918\n6288 9377\n2080 3119\n21931 32815\n34458 51559\n1257 1880\n29950 44798\n29650 44341\n17664 26403\n31190 46657\n29853 44651\n95517 100000\n99059 100000\n30045 44937\n51000 76452\n54632 81885\n63110 94658\n60566 90827\n60987 91457\n6392 9528\n49900 74807\n4736 7039\n13352 19965\n50867 76248\n47591 71331\n30437 45521\n792 1186\n64101 96127\n68848 100000\n28555 42695\n82477 100000\n93558 100000\n70863 100000\n77367 100000\n73507 100000\n51388 77040\n23965 35866\n89992 100000\n13700 20476\n49918 74835\n4551 6765\n29692 44409\n67648 100000\n811 1214\n11341 16930\n95369 100000\n9313 13885\n95513 100000\n73149 100000\n20613 30823\n36611 54827\n99911 100000\n83349 100000\n91583 100000\n75937 100000\n56255 84313\n93001 100000\n21389 31990\n17153 25627\n16756 25036\n41076 61566\n92664 100000\n36826 55156\n13859 20713\n90476 100000\n83125 100000\n59241 88795\n4099 6086\n79734 100000\n47466 71144\n46300 69372\n96442 100000\n90775 100000\n93777 100000\n16947 25324\n54833 82191\n30249 45245\n75078 100000\n84103 100000\n15369 22961\n71374 100000\n82160 100000\n55535 83234\n21655 32395\n48207 72251\n14394 21502\n11954 17881\n79186 100000\n84979 100000\n66471 99704\n78809 100000\n70254 100000\n94477 100000\n48974 73397\n34344 51385\n52446 78616\n38040 56973\n27734 41484\n98607 100000\n33112 49534\n90272 100000\n92567 100000\n74675 100000\n31388 46964\n99791 100000\n27292 40833\n21104 31559\n1599 2381\n67881 100000\n81681 100000\n11718 17523\n53299 79904\n78754 100000\n75790 100000\n31898 47732\n21232 31754\n72619 100000\n71587 100000\n79614 100000\n27458 41076\n49013 73453\n13823 20663\n70264 100000\n78336 100000\n45078 67522\n30898 46237\n94659 100000\n76241 100000\n34816 52083\n50900 76302\n4921 7320\n78726 100000\n63767 95626\n57701 86491\n34141 51074\n4761 7076\n82093 100000\n3602 5351\n73716 100000\n69599 100000\n79484 100000\n57834 86684\n19768 29563\n16578 24774\n7863 11715\n50032 75007\n55722 83501\n9499 14168\n92837 100000\n90168 100000\n8094 12044\n36249 54280\n72884 100000\n18593 27794\n12686 18972\n60618 90904\n81914 100000\n72364 100000\n67350 100000\n33657 50343\n98851 100000\n5287 7873\n57841 86695\n69598 100000\n76571 100000\n45289 67850\n57810 86647\n53016 79496\n43175 64689\n46225 69257\n90121 100000\n16136 24124\n18967 28357\n77712 100000\n65067 97571\n30218 45197\n86074 100000\n18522 27685\n26038 38968\n83164 100000\n58970 88393\n87890 100000\n10658 15898\n98497 100000\n67882 100000\n80997 100000\n75294 100000\n51072 76559\n30322 45348\n69590 100000\n1068 1600\n9556 14259\n5300 7891\n19477 29125\n26185 39195\n48368 72490\n26290 39355\n44564 66757\n83752 100000\n76890 100000\n19875 29721\n9291 13853\n96906 100000\n34286 51299\n29526 44148\n98354 100000\n44238 66288\n93401 100000\n86169 100000\n80488 100000\n65552 98328\n48336 72441\n9105 13578\n74403 100000\n23087 34560\n33677 50376\n19070 28513\n51039 76512\n89173 100000\n73249 100000\n31619 47312\n93069 100000\n63288 94921\n11032 16464\n82312 100000\n90883 100000\n77826 100000\n54507 81707\n84802 100000\n56693 84976\n28148 42101\n34374 51435\n14353 21441\n87118 100000\n21093 31543\n15202 22711\n6240 9308\n14114 21089\n41635 62389\n10622 15848\n55239 82791\n79588 100000\n96575 100000\n80684 100000\n86579 100000\n93410 100000\n80421 100000\n6546 9756\n72699 100000\n89833 100000\n74968 100000\n50927 76340\n95613 100000\n22012 32935\n30145 45087\n65209 97795\n72856 100000\n48437 72589\n97672 100000\n73502 100000\n98714 100000\n62191 93284\n8908 13283\n23594 35314\n92089 100000\n88131 100000\n72700 100000\n73460 100000\n93328 100000\n72836 100000\n70060 100000\n35697 53421\n82657 100000\n69790 100000\n44382 66491\n99522 100000\n69990 100000\n8190 12190\n63752 95601\n55514 83203\n80809 100000\n74636 100000\n15504 23169\n23260 34820\n53558 80286\n82527 100000\n62626 93925\n70778 100000\n88330 100000\n20059 29981\n25396 38011\n38177 57175\n51478 77164\n54435 81597\n75379 100000\n9160 13659\n22731 34022\n3438 5107\n67985 100000\n33999 50859\n3785 5626\n3456 5133\n36294 54347\n99421 100000\n8169 12159\n10171 15174\n92980 100000\n95943 100000\n42968 64391\n93480 100000\n57329 85918\n61182 91750\n44255 66311\n37296 55858\n17593 26293\n50775 76112\n81345 100000\n33829 50602\n14920 22297\n66621 99930\n27165 40653\n8236 12259\n28947 43275\n57628 86376\n55114 82601\n78010 100000\n60603 90878\n49536 74257\n5002 7441\n19816 29631\n47776 71608\n66568 99849\n59043 88502\n14913 22285\n55982 83904\n29362 43900\n32815 49080\n25861 38709\n70038 100000\n2375 3556\n41589 62320\n938 1404\n12050 18036\n67461 100000\n44170 66196\n19033 28457\n72337 100000\n18789 28087\n31905 47743\n63467 95184\n52369 78494\n62851 94261\n84224 100000\n98213 100000\n46620 69860\n60244 90333\n18699 27960\n75356 100000\n76421 100000\n63017 94510\n85834 100000\n43648 65412\n62323 93478\n82008 100000\n51806 77658\n72566 100000\n1748 2606\n26981 40382\n63604 95377\n59833 89705\n57916 86814\n77368 100000\n54293 81388\n50498 75694\n74132 100000\n12112 18128\n55905 83787\n95362 100000\n71782 100000\n33832 50607\n32199 48184\n70292 100000\n75664 100000\n13848 20698\n73733 100000\n31399 46981\n24913 37289\n24915 37292\n39708 59484\n29634 44319\n80803 100000\n61633 92442\n14528 21702\n2750 4101\n29718 44447\n24256 36306\n13417 20063\n93565 100000\n74695 100000\n99415 100000\n75977 100000\n52472 78658\n52035 77995\n13789 20616\n86791 100000\n34227 51201\n99195 100000\n82912 100000\n82141 100000\n71621 100000\n8014 11928\n35381 52937\n76445 100000\n50972 76411\n46625 69869\n12386 18527\n3176 4732\n43438 65102\n82300 100000\n88328 100000\n3683 5476\n40290 60357\n45954 68843\n5809 8649\n40995 61444\n4561 6779\n44854 67180\n27828 41624\n79295 100000\n22995 34429\n2689 4015\n826 1236\n58008 86950\n66087 99130\n62438 93644\n41117 61629\n382 560\n29742 44479\n73151 100000\n5551 8270\n23867 35721\n70233 100000\n95799 100000\n60393 90560\n90689 100000\n58876 88255\n228 339\n55359 82969\n11883 17777\n80926 100000\n40696 60985\n67632 100000\n15962 23871\n77816 100000\n70628 100000\n57069 85539\n98113 100000\n96788 100000\n36008 53900\n49649 74427\n30901 46240\n70303 100000\n89468 100000\n51269 76857\n36101 54052\n55439 83092\n4154 6177\n89809 100000\n62619 93913\n4631 6884\n21861 32710\n66293 99437\n11118 16589\n86052 100000\n30459 45556\n78942 100000\n71307 100000\n24458 36618\n17862 26714\n89660 100000\n73699 100000\n44084 66063\n48307 72398\n36486 54631\n57012 85451\n49995 74952\n8261 12294\n13308 19900\n98303 100000\n85453 100000\n79483 100000\n28119 42056\n18532 27702\n1038 1554\n92874 100000\n34167 51113\n31048 46449\n69172 100000\n46389 69507\n19346 28933\n39387 59008\n53623 80386\n32911 49227\n47214 70770\n56427 84573\n49104 73600\n59141 88642\n98104 100000\n8285 12328\n86068 100000\n44003 65941\n30507 45627\n22099 33063\n38288 57344\n16854 25181\n49945 74874\n67766 100000\n61925 92887\n7774 11585\n76664 100000\n20677 30923\n86481 100000\n78063 100000\n78028 100000\n90969 100000\n63191 94774\n54623 81871\n97416 100000\n22858 34220\n14957 22356\n76321 100000\n73309 100000\n1510 2253\n45194 67702\n7832 11667\n56497 84684\n90806 100000\n11885 17779\n60084 90086\n20162 30130\n65863 98784\n95449 100000\n10014 14951\n98759 100000\n64963 97415\n27068 40504\n88355 100000\n68083 100000\n2363 3536\n42333 63431\n94858 100000\n47272 70851\n50956 76385\n5092 7583\n83441 100000\n11889 17785\n6031 8986\n6313 9414\n26470 39628\n64510 96735\n8743 13026\n43618 65371\n56146 84151\n40446 60592\n60296 90413\n27537 41192\n7970 11866\n88465 100000\n91241 100000\n41460 62134\n77756 100000\n50159 75188\n45035 67453\n53156 79689\n33262 49754\n51954 77880\n85024 100000\n80196 100000\n37287 55844\n95561 100000\n70016 100000\n43351 64962\n37281 55834\n66190 99282\n42717 64005\n29148 43578\n51492 77184\n5787 8616\n72643 100000\n98347 100000\n60957 91415\n49147 73667\n97494 100000\n61573 92350\n12679 18960\n99330 100000\n80087 100000\n74272 100000\n33669 50363\n62295 93440\n44775 67065\n6005 8946\n83454 100000\n21919 32797\n9379 13988\n37511 56188\n70473 100000\n44420 66546\n66695 100000\n26469 39627\n94930 100000\n74 108\n38183 57183\n31719 47465\n35278 52778\n91738 100000\n51873 77754\n76827 100000\n69351 100000\n5172 7704\n36848 55192\n25181 37687\n44873 67207\n19554 29243\n91066 100000\n58902 88290\n28681 42883\n37899 56762\n81792 100000\n65507 98263\n65539 98309\n75233 100000\n48768 73083\n75377 100000\n74966 100000\n34950 52285\n43130 64630\n89235 100000\n30144 45086\n79097 100000\n93006 100000\n59708 89512\n54407 81555\n32738 48961\n96342 100000\n72771 100000\n37585 56295\n2719 4058\n14761 22051\n14914 22287\n70157 100000\n67926 100000\n22758 34061\n11066 16512\n70737 100000\n70489 100000\n140 205\n50415 75575\n79708 100000\n68801 100000\n32507 48631\n24580 36801\n67798 100000\n42803 64130\n87772 100000\n73887 100000\n94473 100000\n41092 61587\n86112 100000\n66193 99287\n47239 70806\n83757 100000\n88799 100000\n4703 6988\n40253 60302\n8518 12691\n40286 60351\n47347 70966\n47162 70688\n57658 86421\n34281 51291\n72833 100000\n9947 14847\n91492 100000\n6346 9462\n10520 15702\n56008 83940\n24336 36427\n92085 100000\n69903 100000\n91565 100000\n23344 34942\n64813 97192\n18933 28305\n29019 43387\n13618 20359\n96170 100000\n21715 32484\n29839 44629\n87013 100000\n19670 29413\n2716 4054\n40255 60305\n28210 42194\n10731 16007\n44307 66386\n20501 30652\n16043 23987\n20187 30167\n70392 100000\n72494 100000\n69407 100000\n95771 100000\n24399 36529\n63525 95264\n60825 91219\n69853 100000\n53287 79886\n98929 100000\n92194 100000\n74923 100000\n64324 96457\n6527 9729\n32294 48329\n46980 70410\n82065 100000\n57506 86189\n27337 40901\n11148 16631\n15067 22510\n86975 100000\n71911 100000\n63475 95195\n65320 97973\n55212 82748\n88887 100000\n74852 100000\n40600 60837\n69085 100000\n52198 78243\n97281 100000\n89114 100000\n98693 100000\n3739 5562\n50892 76287\n41220 61781\n42428 63579\n56527 84733\n52057 78032\n40743 61060\n68452 100000\n98124 100000\n91587 100000\n10725 15998\n58084 87066\n17434 26058\n35753 53510\n33900 50709\n30738 45986\n68906 100000\n43315 64909\n736 1099\n75979 100000\n7728 11526\n63971 95940\n90489 100000\n45708 68479\n95687 100000\n47201 70750\n68742 100000\n90195 100000\n46981 70412\n22869 34236\n46531 69721\n82367 100000\n45210 67729\n31306 46837\n6776 10089\n86219 100000\n37162 55657\n71901 100000\n73060 100000\n97820 100000\n9410 14034\n86909 100000\n99477 100000\n89513 100000\n27349 40918\n25314 37887\n71956 100000\n82374 100000\n77821 100000\n91770 100000\n85086 100000\n87882 100000\n70616 100000\n11758 17582\n20339 30405\n84489 100000\n18862 28204\n71299 100000\n43934 65843\n25146 37635\n12357 18480\n44359 66459\n66855 100000\n21285 31837\n24761 37066\n91155 100000\n64217 96295\n65175 97744\n9113 13590\n87362 100000\n72909 100000\n51539 77258\n21718 32489\n8678 12929\n94104 100000\n76585 100000\n49835 74711\n13635 20383\n36410 54519\n85659 100000\n21188 31686\n14879 22238\n18683 27934\n79716 100000\n84984 100000\n34712 51932\n41846 62705\n77399 100000\n98591 100000\n27157 40640\n7783 11598\n58111 87104\n77238 100000\n86789 100000\n56841 85201\n79458 100000\n87637 100000\n84390 100000\n50547 75770\n45023 67434\n92167 100000\n84899 100000\n86181 100000\n84628 100000\n36281 54328\n85943 100000\n44329 66418\n27063 40496\n13630 20377\n72211 100000\n17725 26498\n79431 100000\n6637 9883\n45638 68373\n56118 84106\n2132 3193\n2984 4451\n44931 67300\n44690 66945\n95328 100000\n33044 49429\n78971 100000\n58411 87559\n59866 89750\n3730 5550\n83768 100000\n69230 100000\n12396 18540\n50813 76170\n48744 73044\n24474 36642\n62226 93338\n65022 97504\n28388 42460\n77189 100000\n83916 100000\n63632 95417\n62678 94001\n71276 100000\n43980 65910\n51049 76526\n51383 77031\n2355 3525\n27769 41532\n41075 61565\n363 531\n12083 18081\n92200 100000\n14418 21535\n12684 18969\n94803 100000\n46253 69299\n18590 27789\n10118 15102\n26292 39358\n38112 57081\n50008 74973\n16796 25093\n83232 100000\n77922 100000\n91736 100000\n8330 12400\n96549 100000\n32495 48616\n70519 100000\n941 1409\n67522 100000\n46952 70369\n67369 100000\n73348 100000\n90873 100000\n14294 21356\n25675 38428\n77288 100000\n35507 53141\n17929 26804\n12335 18449\n50706 76004\n90986 100000\n28772 43022\n1895 2839\n21616 32335\n47330 70939\n67816 100000\n53353 79982\n13223 19774\n99092 100000\n44355 66454\n64093 96114\n17842 26681\n88103 100000\n36440 54565\n9819 14656\n87967 100000\n24175 36182\n11143 16624\n51670 77454\n68855 100000\n5308 7903\n87044 100000\n80820 100000\n16387 24492\n49355 73982\n94258 100000\n52513 78717\n27339 40904\n22087 33046\n98896 100000\n93458 100000\n98463 100000\n53532 80243\n96315 100000\n72513 100000\n19468 29112\n85798 100000\n57943 86854\n13657 20410\n76842 100000\n1800 2690\n11896 17793\n62367 93543\n23325 34917\n81285 100000\n77980 100000\n3129 4660\n57825 86672\n98755 100000\n8465 12605\n58205 87246\n58278 87356\n82165 100000\n33424 49995\n36821 55149\n40990 61436\n71342 100000\n71746 100000\n91842 100000\n34686 51893\n89463 100000\n50625 75873\n8247 12277\n75697 100000\n66106 99157\n67642 100000\n79940 100000\n49789 74639\n62134 93201\n89740 100000\n56655 84918\n72639 100000\n10596 15814\n99308 100000\n27960 41815\n53333 79954\n6282 9368\n73336 100000\n33647 50326\n83833 100000\n67193 100000\n18961 28347\n77337 100000\n96117 100000\n47599 71342\n53883 80778\n51224 76788\n91859 100000\n28748 42988\n91771 100000\n56866 85240\n2888 4314\n11652 17418\n27239 40761\n61445 92160\n55438 83090\n67575 100000\n32745 48974\n7786 11602\n50141 75164\n29080 43479\n32143 48099\n87692 100000\n96277 100000\n83830 100000\n29446 44026\n8782 13086\n86494 100000\n68897 100000\n66680 100000\n76782 100000\n27659 41371\n95877 100000\n22403 33531\n96739 100000\n4051 6016\n69127 100000\n27405 41005\n45366 67965\n62263 93393\n16856 25184\n30265 45268\n88306 100000\n69607 100000\n83510 100000\n96246 100000\n99577 100000\n45233 67764\n87693 100000\n16211 24236\n97441 100000\n24555 36764\n76118 100000\n26104 39070\n30987 46363\n42146 63156\n19923 29787\n28743 42981\n96387 100000\n42881 64252\n35375 52927\n27996 41868\n72252 100000\n2085 3129\n45786 68597\n72001 100000\n88914 100000\n21350 31932\n50325 75438\n94512 100000\n83692 100000\n5246 7813\n34140 51073\n15576 23282\n28765 43013\n98427 100000\n3719 5532\n19185 28685\n32171 48141\n80123 100000\n5512 8213\n70419 100000\n98916 100000\n42619 63855\n69674 100000\n11458 17110\n88454 100000\n4774 7096\n58554 87768\n81314 100000\n38504 57678\n93674 100000\n69183 100000\n27555 41218\n59756 89583\n18657 27889\n96366 100000\n50734 76051\n14376 21474\n92377 100000\n27942 41788\n22932 34336\n33541 50171\n20908 31265\n18681 27930\n84664 100000\n50926 76339\n79992 100000\n65298 97935\n48176 72212\n13909 20789\n70145 100000\n84507 100000\n68419 100000\n47509 71207\n1247 1865\n42140 63147\n3464 5146\n69731 100000\n98939 100000\n1643 2444\n75117 100000\n1772 2645\n92734 100000\n87097 100000\n18484 27629\n61942 92915\n26615 39847\n19425 29048\n99604 100000\n65084 97597\n12166 18203\n19855 29690\n92155 100000\n94260 100000\n96353 100000\n38156 57147\n62072 93110\n30318 45342\n50639 75892\n17391 25993\n22518 33701\n46015 68943\n84276 100000\n12509 18702\n99359 100000\n31488 47118\n22044 32981\n70476 100000\n80740 100000\n89944 100000\n88794 100000\n60360 90510\n99687 100000\n69126 100000\n23441 35085\n72406 100000\n96071 100000\n42991 64423\n26807 40127\n85176 100000\n73935 100000\n72362 100000\n41821 62665\n6343 9458\n2392 3582\n64995 97463\n98402 100000\n74629 100000\n29181 43628\n43371 64993\n79486 100000\n85392 100000\n72484 100000\n63297 94934\n45125 67599\n21641 32374\n51436 77104\n39128 58607\n32162 48127\n88408 100000\n21231 31752\n63227 94829\n10307 15378\n33784 50535\n63753 95603\n59489 89171\n81501 100000\n87168 100000\n71585 100000\n53083 79582\n13803 20635\n97065 100000\n8237 12261\n52672 78963\n95583 100000\n3071 4577\n59776 89618\n85019 100000\n49851 74733\n70091 100000\n24190 36206\n75503 100000\n7778 11591\n74683 100000\n39471 59137\n2838 4233\n47653 71417\n36111 54069\n3863 5737\n59289 88873\n88471 100000\n20962 31343\n15220 22740\n76767 100000\n91705 100000\n898 1344\n10128 15117\n34180 51131\n54110 81113\n23391 35011\n26079 39031\n77899 100000\n98524 100000\n28129 42073\n85733 100000\n47039 70499\n82970 100000\n25148 37638\n46719 70011\n61672 92508\n64664 96967\n22716 33999\n17945 26826\n55673 83429\n52493 78689\n98913 100000\n82518 100000\n60048 90032\n52955 79402\n59078 88551\n32504 48628\n35337 52865\n78334 100000\n94241 100000\n59916 89822\n87147 100000\n11445 17088\n48869 73236\n98849 100000\n10444 15597\n36584 54787\n82344 100000\n93039 100000\n75565 100000\n82315 100000\n88508 100000\n34929 52255\n19258 28801\n66294 99438\n59628 89390\n33350 49882\n81648 100000\n75251 100000\n11692 17481\n53511 80215\n27559 41222\n79998 100000\n47610 71358\n81656 100000\n84844 100000\n60457 90656\n46642 69892\n84499 100000\n22321 33405\n49228 73788\n59303 88893\n62194 93289\n95324 100000\n6345 9461\n82011 100000\n22743 34039\n39836 59678\n11142 16623\n9580 14295\n62994 94475\n35002 52369\n5447 8118\n80115 100000\n45629 68357\n32284 48314\n64921 97354\n48548 72756\n15561 23260\n35287 52792\n67565 100000\n10289 15350\n17427 26049\n85379 100000\n47639 71396\n19960 29841\n15989 23911\n75325 100000\n98742 100000\n59111 88601\n44925 67289\n83163 100000\n90164 100000\n12121 18139\n81402 100000\n69082 100000\n98772 100000\n87494 100000\n67463 100000\n99483 100000\n63680 95488\n82493 100000\n47237 70804\n50321 75431\n28792 43051\n58440 87600\n27178 40673\n81644 100000\n45132 67611\n36511 54669\n42571 63788\n68076 100000\n36162 54144\n51123 76633\n27462 41083\n8119 12083\n29672 44376\n79528 100000\n20017 29919\n25540 38222\n52834 79215\n9543 14238\n54838 82198\n35102 52513\n9041 13485\n38997 58404\n83131 100000\n35305 52817\n49381 74020\n27939 41782\n55106 82589\n3134 4667\n9458 14109\n18588 27785\n83448 100000\n55180 82702\n29372 43914\n68243 100000\n57155 85661\n15346 22927\n82666 100000\n68406 100000\n97026 100000\n51270 76858\n41107 61612\n6528 9731\n25109 37584\n29282 43775\n37668 56422\n57200 85728\n95729 100000\n87344 100000\n12481 18661\n93015 100000\n18377 27472\n95376 100000\n14717 21989\n52817 79189\n95931 100000\n10176 15181\n93264 100000\n34780 52030\n65358 98034\n26920 40287\n62548 93806\n73958 100000\n38724 58003\n59199 88731\n23249 34801\n59592 89330\n50933 76350\n85214 100000\n84940 100000\n17332 25899\n33343 49873\n934 1399\n47785 71622\n60511 90739\n28276 42294\n39101 58563\n53179 79722\n92160 100000\n23499 35176\n40478 60637\n13971 20880\n17021 25432\n673 1007\n51241 76816\n81377 100000\n31315 46850\n9314 13887\n1088 1629\n13781 20601\n20597 30799\n27516 41163\n60314 90443\n94054 100000\n36122 54086\n93807 100000\n95277 100000\n76683 100000\n72256 100000\n18382 27479\n33179 49631\n21207 31717\n32908 49223\n54979 82407\n44607 66817\n85232 100000\n79778 100000\n31404 46989\n30526 45656\n75586 100000\n31892 47722\n79259 100000\n28730 42961\n38527 57714\n88960 100000\n36523 54688\n64084 96104\n29177 43621\n26982 40383\n77506 100000\n9655 14402\n37208 55723\n80283 100000\n46565 69773\n81123 100000\n35262 52755\n75470 100000\n56159 84170\n67975 100000\n37934 56813\n46393 69515\n39844 59688\n53214 79776\n72323 100000\n53610 80366\n11939 17858\n82523 100000\n86065 100000\n19397 29008\n57900 86787\n59538 89245\n53244 79825\n35716 53450\n33298 49809\n45467 68115\n57518 86207\n6058 9029\n20673 30916\n59374 88996\n55735 83521\n72376 100000\n36250 54282\n22569 33780\n97953 100000\n46906 70298\n71280 100000\n7153 10668\n31094 46516\n26279 39338\n70486 100000\n4495 6687\n92269 100000\n1689 2518\n60089 90092\n75740 100000\n29081 43480\n74485 100000\n69234 100000\n56905 85298\n53074 79573\n82401 100000\n16289 24349\n40258 60310\n84960 100000\n19318 28888\n55632 83371\n18369 27461\n24985 37398\n57083 85557\n58924 88320\n81686 100000\n38264 57305\n98105 100000\n20946 31322\n36761 55056\n57426 86065\n75222 100000\n65366 98046\n31417 47006\n14129 21112\n22771 34082\n33266 49760\n90151 100000\n82224 100000\n41870 62741\n389 572\n80909 100000\n42084 63066\n79072 100000\n97457 100000\n59684 89474\n64723 97055\n51133 76648\n50231 75294\n1897 2842\n76793 100000\n10161 15160\n42570 63786\n21466 32107\n71132 100000\n85663 100000\n79512 100000\n26393 39513\n78090 100000\n44791 67087\n16072 24030\n1540 2297\n59447 89105\n95331 100000\n29343 43869\n72156 100000\n55009 82450\n22458 33613\n42716 64004\n10818 16138\n4383 6520\n49884 74783\n1094 1638\n86647 100000\n29957 44808\n99972 100000\n4916 7312\n9708 14484\n91535 100000\n88595 100000\n9986 14906\n59191 88720\n60866 91277\n12511 18706\n88931 100000\n80818 100000\n14203 21218\n50750 76071\n99749 100000\n53391 80038\n10997 16410\n53629 80396\n80757 100000\n18697 27956\n8894 13261\n19967 29850\n80520 100000\n86386 100000\n92729 100000\n10683 15936\n1224 1832\n6784 10104\n3333 4955\n89169 100000\n84622 100000\n46469 69633\n80231 100000\n89983 100000\n3425 5088\n80481 100000\n16231 24266\n75290 100000\n40598 60834\n73697 100000\n76536 100000\n33640 50318\n48581 72807\n67969 100000\n64623 96905\n45069 67505\n94872 100000\n49980 74929\n7581 11303\n50787 76132\n36835 55172\n58625 87877\n3055 4555\n78418 100000\n7827 11659\n12116 18134\n2744 4092\n44537 66716\n1537 2294\n810 1212\n54208 81262\n79198 100000\n21582 32283\n6804 10135\n35440 53029\n41001 61452\n82588 100000\n46417 69553\n6989 10421\n22217 33241\n91493 100000\n34079 50978\n73621 100000\n8215 12226\n31152 46599\n22169 33171\n77591 100000\n89145 100000\n1990 2984\n45200 67713\n93054 100000\n41871 62742\n18043 26970\n79080 100000\n71367 100000\n71502 100000\n51288 76886\n46175 69184\n92972 100000\n94665 100000\n53201 79757\n9009 13436\n9062 13512\n39478 59147\n40052 60000\n47132 70644\n24722 37007\n62975 94447\n94943 100000\n54310 81412\n55109 82592\n88277 100000\n62558 93821\n4040 6003\n41801 62633\n13294 19874\n13819 20658\n48105 72105\n97246 100000\n92457 100000\n64986 97450\n56355 84466\n40963 61396\n60727 91072\n42393 63526\n82033 100000\n95152 100000\n10019 14959\n12513 18709\n19161 28652\n55028 82478\n7676 11448\n85732 100000\n9091 13556\n89060 100000\n33654 50338\n27995 41867\n98298 100000\n36679 54934\n83114 100000\n32188 48167\n15752 23548\n85523 100000\n6275 9360\n79735 100000\n27 40\n38637 57873\n16191 24206\n30214 45193\n46382 69496\n95883 100000\n9653 14400\n4621 6868\n72383 100000\n17519 26184\n32893 49202\n95000 100000\n38621 57851\n17448 26082\n25756 38547\n30320 45345\n57028 85478\n44676 66921\n36268 54307\n98711 100000\n25804 38623\n13688 20457\n52237 78301\n31735 47489\n54424 81580\n32382 48449\n55815 83646\n89065 100000\n781 1170\n44516 66685\n27145 40626\n87384 100000\n56235 84286\n54683 81961\n67030 100000\n95188 100000\n32540 48674\n31810 47603\n57983 86908\n89990 100000\n99063 100000\n66035 99047\n14079 21038\n18602 27804\n8320 12386\n46999 70439\n51109 76610\n36681 54938\n41555 62275\n88001 100000\n41236 61802\n48244 72306\n25858 38704\n91004 100000\n61046 91545\n85498 100000\n43962 65884\n16366 24460\n16061 24015\n71732 100000\n38988 58391\n51271 76859\n17198 25694\n65648 98469\n93020 100000\n70220 100000\n31900 47735\n25969 38870\n83481 100000\n46725 70021\n49889 74791\n41789 62616\n30263 45266\n79968 100000\n5802 8638\n57672 86444\n46097 69062\n68167 100000\n5116 7618\n35354 52893\n92841 100000\n65246 97850\n96520 100000\n11367 16968\n24374 36490\n51476 77161\n4851 7213\n38042 56977\n6939 10343\n65202 97784\n84157 100000\n33022 49395\n77802 100000\n61194 91767\n22770 34080\n33990 50846\n8977 13387\n35860 53676\n2358 3529\n26494 39659\n79621 100000\n45764 68566\n59574 89300\n97067 100000\n65222 97813\n55991 83916\n28857 43147\n42892 64269\n14641 21874\n5661 8426\n6677 9941\n75338 100000\n21381 31978\n10293 15357\n56609 84851\n6195 9242\n5068 7548\n13091 19577\n64237 96325\n81154 100000\n47900 71796\n71379 100000\n51750 77575\n29966 44822\n16541 24726\n35083 52488\n30274 45280\n14932 22315\n19452 29088\n75031 100000\n48417 72561\n86722 100000\n27599 41285\n62502 93740\n85914 100000\n95462 100000\n65655 98478\n66377 99565\n76918 100000\n41721 62516\n29611 44283\n80743 100000\n62400 93589\n9646 14388\n92117 100000\n46246 69288\n20720 30988\n88110 100000\n36458 54593\n47353 70977\n43556 65276\n95937 100000\n36520 54685\n64636 96924\n39394 59019\n96359 100000\n79124 100000\n92233 100000\n76008 100000\n64244 96335\n99983 100000\n2187 3275\n34404 51484\n37004 55416\n1896 2840\n59484 89164\n58418 87569\n89134 100000\n83447 100000\n61500 92240\n99629 100000\n78594 100000\n93451 100000\n66496 99740\n34591 51754\n2204 3297\n6988 10419\n22661 33915\n25107 37582\n54570 81799\n8347 12424\n41477 62160\n81853 100000\n65278 97903\n58881 88261\n73722 100000\n80643 100000\n86503 100000\n95846 100000\n91479 100000\n42257 63322\n51815 77671\n18900 28256\n9206 13723\n5491 8183\n97054 100000\n4432 6593\n2945 4397\n34024 50897\n15530 23212\n80806 100000\n85973 100000\n27057 40486\n461 688\n30230 45217\n61103 91630\n45949 68837\n21446 32076\n10075 15040\n32407 48485\n60852 91256\n25598 38313\n75822 100000\n31198 46670\n36335 54407\n96684 100000\n63794 95670\n10040 14990\n19851 29685\n89436 100000\n50446 75615\n90472 100000\n6517 9713\n28804 43072\n74247 100000\n15972 23887\n66314 99469\n31542 47198\n36123 54087\n2370 3547\n5617 8363\n5016 7465\n32240 48244\n81220 100000\n72919 100000\n90235 100000\n32056 47967\n69726 100000\n67962 100000\n22393 33518\n73872 100000\n8442 12565\n45807 68628\n31879 47705\n56122 84111\n57560 86267\n30532 45664\n2662 3982\n15840 23682\n685 1025\n70875 100000\n17748 26530\n71014 100000\n31671 47387\n72930 100000\n60336 90476\n92455 100000\n23475 35137\n83266 100000\n15046 22481\n94202 100000\n23624 35358\n39860 59711\n6779 10094\n14253 21294\n61641 92455\n68050 100000\n59544 89256\n70026 100000\n92474 100000\n50147 75173\n12445 18609\n86505 100000\n42939 64347\n64552 96799\n93737 100000\n1830 2735\n74365 100000\n53653 80432\n72135 100000\n39438 59088\n21688 32444\n62129 93192\n15253 22791\n87127 100000\n99569 100000\n48092 72086\n54723 82025\n69289 100000\n92476 100000\n75918 100000\n98534 100000\n18563 27748\n22678 33941\n38481 57645\n97949 100000\n63790 95664\n48797 73130\n55919 83812\n72054 100000\n30119 45051\n53490 80184\n24363 36473\n1757 2623\n72299 100000\n13199 19742\n70098 100000\n18347 27429\n10396 15522\n17506 26164\n57181 85696\n53867 80753\n77992 100000\n90701 100000\n37555 56253\n496 738\n28324 42363\n23198 34722\n34878 52175\n65346 98014\n56018 83955\n57033 85485\n80264 100000\n58203 87242\n97918 100000\n67580 100000\n49766 74603\n7845 11687\n92715 100000\n89525 100000\n90891 100000\n84924 100000\n57252 85805\n9381 13990\n99188 100000\n7734 11533\n87351 100000\n31640 47340\n40229 60266\n13203 19747\n12347 18466\n74005 100000\n53745 80573\n52704 79008\n39809 59634\n3119 4646\n72701 100000\n43945 65860\n43808 65652\n90098 100000\n82002 100000\n49482 74176\n78367 100000\n4747 7056\n66091 99136\n49559 74294\n71531 100000\n6160 9189\n13830 20672\n7770 11581\n2305 3451\n34832 52107\n32490 48608\n43181 64696\n47911 71815\n21411 32022\n2946 4399\n2773 4131\n82007 100000\n96812 100000\n2319 3472\n38544 57739\n19069 28511\n97583 100000\n17732 26508\n20007 29906\n7686 11462\n64779 97141\n72778 100000\n3020 4505\n10212 15236\n89187 100000\n48485 72665\n2298 3439\n27265 40797\n6053 9020\n26876 40223\n58581 87809\n54404 81551\n34559 51703\n46694 69975\n10866 16210\n22832 34181\n50731 76045\n52207 78257\n76914 100000\n194 286\n91008 100000\n44062 66030\n5048 7519\n56631 84884\n89916 100000\n13913 20796\n23181 34695\n44783 67076\n38540 57733\n17672 26417\n57777 86601\n3605 5355\n89690 100000\n39316 58893\n36740 55024\n49602 74360\n75855 100000\n91075 100000\n36976 55372\n46541 69736\n2660 3979\n77971 100000\n22585 33803\n20330 30392\n28613 42781\n84783 100000\n43710 65508\n7002 10442\n70743 100000\n75696 100000\n22993 34426\n41496 62186\n51013 76471\n19409 29025\n45574 68272\n23150 34648\n7684 11458\n57910 86804\n34916 52236\n43872 65749\n3180 4739\n62169 93254\n28029 41917\n46935 70339\n32692 48896\n13531 20231\n98156 100000\n91656 100000\n36451 54581\n16356 24447\n48656 72917\n34870 52163\n80955 100000\n30545 45684\n27970 41830\n94395 100000\n82690 100000\n45311 67884\n32438 48532\n41796 62625\n99136 100000\n3270 4874\n22697 33968\n31406 46992\n40317 60399\n68320 100000\n81446 100000\n62335 93498\n99778 100000\n63711 95535\n63939 95894\n69240 100000\n95401 100000\n35178 52628\n71147 100000\n22472 33631\n81381 100000\n32843 49123\n77377 100000\n623 931\n5000 7439\n71239 100000\n18950 28331\n87056 100000\n51287 76884\n25307 37878\n70116 100000\n50748 76068\n36382 54481\n26041 38971\n48295 72381\n46927 70327\n55934 83834\n24821 37158\n80312 100000\n49383 74023\n90144 100000\n1371 2049\n99987 100000\n14861 22208\n96506 100000\n75384 100000\n27259 40790\n40541 60743\n30577 45734\n52555 78778\n43241 64790\n61615 92419\n78841 100000\n3808 5656\n90724 100000\n14082 21043\n59086 88565\n37793 56603\n31569 47241\n74977 100000\n63088 94623\n9295 13859\n31509 47147\n58963 88382\n65988 98978\n63821 95708\n1382 2068\n53565 80296\n63888 95814\n63071 94594\n78904 100000\n21705 32469\n3995 5934\n91497 100000\n97241 100000\n85996 100000\n2437 3647\n17544 26222\n67492 100000\n65101 97626\n3957 5878\n73793 100000\n53395 80043\n7886 11747\n53705 80512\n26270 39323\n35621 53313\n77246 100000\n89484 100000\n90733 100000\n58942 88351\n55712 83485\n86529 100000\n52176 78208\n1064 1593\n38368 57471\n92508 100000\n74373 100000\n10021 14962\n89205 100000\n30094 45012\n19137 28615\n12777 19108\n5025 7480\n71496 100000\n21119 31581\n14118 21096\n42771 64084\n16705 24960\n10035 14983\n2403 3599\n22029 32960\n81796 100000\n88988 100000\n80931 100000\n13502 20193\n51084 76576\n65566 98348\n26953 40336\n86667 100000\n96427 100000\n17238 25752\n49264 73840\n95831 100000\n372 546\n61776 92662\n30737 45984\n5380 8013\n73432 100000\n1158 1729\n58698 87989\n60800 91181\n23581 35296\n53334 79955\n50101 75106\n15217 22735\n98774 100000\n47081 70564\n29366 43905\n58227 87277\n30212 45190\n6762 10064\n42668 63930\n30922 46271\n9614 14340\n12568 18789\n61543 92308\n4481 6666\n90910 100000\n43188 64706\n95958 100000\n45988 68899\n83749 100000\n51899 77794\n96174 100000\n27661 41374\n81427 100000\n52886 79293\n10434 15583\n95619 100000\n27839 41640\n54466 81644\n62035 93055\n24820 37156\n46319 69399\n6737 10030\n7460 11123\n34774 52021\n38583 57795\n65190 97766\n42298 63382\n79858 100000\n88159 100000\n73976 100000\n90649 100000\n41157 61688\n95992 100000\n60577 90842\n66952 100000\n33375 49923\n71474 100000\n87732 100000\n90928 100000\n37975 56869\n24208 36235\n73354 100000\n49636 74410\n48251 72318\n87508 100000\n17132 25597\n61138 91684\n7181 10710\n6719 10006\n16444 24574\n20644 30873\n31333 46880\n16542 24727\n39211 58736\n39650 59394\n70521 100000\n51198 76750\n69089 100000\n49768 74607\n86935 100000\n70064 100000\n90765 100000\n97600 100000\n62321 93476\n30076 44985\n66174 99260\n49652 74431\n63702 95523\n49252 73823\n35292 52801\n94212 100000\n92836 100000\n31387 46962\n54939 82346\n51407 77063\n54328 81435\n99498 100000\n31112 46544\n33000 49359\n52997 79469\n57298 85867\n41950 62862\n85529 100000\n19365 28961\n97180 100000\n43131 64632\n76552 100000\n42567 63783\n43261 64823\n60430 90618\n42879 64248\n55633 83373\n53744 80572\n3348 4975\n98531 100000\n23971 35874\n69733 100000\n42385 63515\n59988 89932\n19566 29264\n94148 100000\n36846 55188\n36711 54980\n25157 37653\n3592 5338\n60057 90046\n13343 19953\n63694 95509\n65452 98175\n18717 27985\n46436 69586\n51994 77938\n8930 13318\n22607 33834\n98270 100000\n30911 46254\n13523 20221\n73277 100000\n9054 13503\n49384 74025\n37941 56821\n43357 64970\n65959 98932\n28383 42451\n89697 100000\n98027 100000\n25375 37979\n2466 3689\n73623 100000\n95900 100000\n43373 64997\n54854 82221\n69877 100000\n70878 100000\n83153 100000\n70535 100000\n79816 100000\n16082 24047\n93624 100000\n92840 100000\n71193 100000\n39681 59440\n44522 66693\n79448 100000\n17212 25715\n22863 34227\n69555 100000\n29021 43391\n61193 91766\n38229 57253\n47891 71784\n49862 74748\n74716 100000\n51239 76813\n78580 100000\n44185 66217\n81367 100000\n8114 12074\n35524 53168\n36526 54692\n271 401\n19501 29163\n2646 3960\n387 568\n37670 56424\n34986 52345\n62463 93680\n35671 53384\n74039 100000\n76108 100000\n49054 73520\n97990 100000\n77227 100000\n75299 100000\n37750 56539\n32651 48832\n89837 100000\n47014 70462\n53831 80703\n3264 4864\n82488 100000\n37674 56431\n69146 100000\n28733 42965\n25677 38431\n62158 93238\n36527 54694\n17656 26390\n67864 100000\n71138 100000\n91121 100000\n24078 36034\n79649 100000\n99634 100000\n41345 61955\n72995 100000\n94079 100000\n1295 1940\n54433 81593\n24090 36051\n95023 100000\n82052 100000\n73737 100000\n22272 33328\n1541 2298\n86281 100000\n17371 25961\n46386 69503\n80299 100000\n92453 100000\n98416 100000\n61787 92678\n63132 94687\n17009 25414\n54691 81973\n80784 100000\n10278 15332\n87863 100000\n18754 28040\n50178 75217\n51083 76575\n47304 70903\n63442 95145\n92696 100000\n36166 54151\n75333 100000\n12944 19356\n56473 84645\n57053 85517\n45647 68384\n41502 62196\n65041 97533\n54399 81545\n64732 97068\n18837 28164\n66753 100000\n2707 4041\n16083 24049\n93694 100000\n93711 100000\n38227 57250\n14188 21197\n36565 54756\n26313 39390\n63201 94790\n91297 100000\n94087 100000\n18832 28154\n42261 63327\n83022 100000\n24008 35930\n92803 100000\n7622 11366\n80751 100000\n99468 100000\n90977 100000\n36106 54061\n86753 100000\n35883 53713\n47979 71915\n12035 18009\n33676 50374\n22434 33576\n58271 87344\n71738 100000\n31850 47660\n18260 27294\n95543 100000\n60011 89970\n24434 36579\n11163 16658\n88989 100000\n6431 9584\n45854 68696\n36809 55127\n89427 100000\n17931 26806\n65400 98097\n92638 100000\n62872 94292\n24206 36231\n40536 60734\n62888 94315\n7855 11704\n30583 45744\n5587 8319\n76122 100000\n95736 100000\n32155 48115\n63521 95260\n78350 100000\n43056 64524\n98902 100000\n16260 24310\n20708 30970\n50642 75897\n66122 99181\n23916 35795\n44914 67272\n28086 42007\n91342 100000\n39544 59247\n21847 32689\n34073 50969\n87188 100000\n14464 21604\n61553 92322\n11358 16955\n4103 6094\n81126 100000\n48975 73399\n31336 46885\n73662 100000\n50228 75289\n62662 93978\n14733 22012\n68432 100000\n92964 100000\n67170 100000\n83206 100000\n31393 46971\n94107 100000\n40000 59920\n65381 98068\n81862 100000\n95484 100000\n91056 100000\n22943 34353\n28554 42694\n62247 93371\n56586 84815\n45925 68799\n56284 84358\n27783 41554\n70259 100000\n61612 92415\n43177 64691\n46674 69940\n31036 46431\n49650 74429\n60375 90532\n98412 100000\n68561 100000\n35198 52661\n36104 54057\n91361 100000\n93283 100000\n28437 42533\n39821 59653\n13615 20355\n30451 45543\n93761 100000\n77768 100000\n84629 100000\n84392 100000\n24026 35957\n28522 42651\n72509 100000\n25589 38300\n29469 44057\n34996 52359\n31563 47230\n35084 52489\n57684 86462\n46205 69224\n40923 61334\n22172 33177\n53290 79890\n47808 71656\n5791 8621\n63633 95418\n67035 100000\n78739 100000\n4604 6843\n80956 100000\n10473 15637\n57600 86330\n41965 62889\n47741 71551\n84687 100000\n24827 37167\n41632 62384\n54814 82161\n56153 84161\n26833 40161\n49797 74651\n34402 51480\n56887 85271\n57346 85944\n44555 66743\n21209 31720\n85338 100000\n52135 78144\n62866 94285\n59216 88757\n52455 78630\n41127 61643\n81696 100000\n84942 100000\n550 825\n45827 68655\n31257 46762\n52586 78827\n51808 77661\n80046 100000\n80487 100000\n53200 79755\n23557 35259\n31731 47484\n15931 23824\n2790 4160\n62349 93519\n13772 20590\n19910 29767\n35858 53673\n70410 100000\n42221 63265\n27163 40651\n466 696\n14092 21057\n525 782\n1015 1519\n1656 2463\n81110 100000\n76948 100000\n78905 100000\n47965 71896\n53992 80939\n32618 48786\n57417 86052\n40257 60308\n31627 47322\n87799 100000\n40386 60502\n1628 2420\n45193 67701\n61 92\n28144 42094\n61906 92861\n54023 80982\n17869 26725\n23185 34702\n78640 100000\n42095 63084\n32615 48783\n86362 100000\n22915 34309\n89252 100000\n6796 10122\n55302 82884\n44662 66900\n13022 19470\n46507 69690\n68332 100000\n50403 75558\n75013 100000\n92791 100000\n84413 100000\n62750 94107\n75097 100000\n55309 82895\n74355 100000\n99744 100000\n1611 2396\n65431 98146\n77619 100000\n22965 34385\n96008 100000\n18283 27328\n1890 2831\n3820 5675\n4859 7225\n54829 82185\n30492 45605\n77394 100000\n82443 100000\n96093 100000\n9449 14096\n4643 6904\n93428 100000\n29715 44444\n89111 100000\n72646 100000\n32038 47940\n60642 90943\n52336 78445\n84214 100000\n99829 100000\n5970 8890\n99701 100000\n73051 100000\n94866 100000\n38786 58096\n25072 37530\n10745 16029\n58992 88425\n94632 100000\n51922 77830\n204 303\n78019 100000\n12946 19358\n71606 100000\n58405 87549\n27451 41068\n27434 41042\n73501 100000\n38062 57007\n88748 100000\n89395 100000\n72785 100000\n15216 22734\n81470 100000\n76035 100000\n47082 70565\n64828 97216\n79423 100000\n99232 100000\n58349 87461\n59283 88865\n19299 28860\n97079 100000\n79984 100000\n37225 55749\n11369 16970\n81257 100000\n21933 32817\n61908 92864\n1976 2960\n85592 100000\n22642 33888\n92931 100000\n96623 100000\n59154 88663\n7260 10824\n83541 100000\n92955 100000\n61295 91932\n48677 72949\n88349 100000\n45561 68253\n23887 35751\n49170 73701\n30801 46084\n65511 98267\n5591 8324\n20225 30221\n41682 62455\n61618 92423\n93935 100000\n39270 58823\n9016 13448\n86952 100000\n33433 50009\n55326 82920\n83052 100000\n23813 35640\n34632 51812\n43377 65004\n14259 21303\n32709 48918\n48224 72276\n15997 23921\n81479 100000\n30485 45595\n70417 100000\n68080 100000\n42612 63844\n24201 36222\n75037 100000\n62061 93094\n66002 99000\n78156 100000\n79075 100000\n17126 25588\n99368 100000\n45482 68138\n15470 23121\n77823 100000\n51468 77147\n19401 29013\n16440 24568\n36488 54634\n25305 37875\n86398 100000\n80467 100000\n14874 22230\n64760 97109\n95153 100000\n21085 31531\n40849 61227\n40657 60923\n66010 99011\n71266 100000\n48740 73037\n3238 4824\n90070 100000\n40875 61263\n8276 12315\n39020 58439\n29443 44021\n7726 11522\n74906 100000\n75365 100000\n68104 100000\n53345 79972\n22048 32988\n84962 100000\n52620 78878\n67922 100000\n7583 11306\n83545 100000\n77561 100000\n63948 95906\n89507 100000\n96222 100000\n75004 100000\n631 944\n50686 75973\n33081 49485\n34330 51364\n46441 69593\n60650 90955\n46114 69088\n60045 90027\n38082 57040\n76004 100000\n99775 100000\n10298 15365\n71713 100000\n41884 62763\n8841 13181\n8846 13189\n49442 74116\n58610 87854\n95509 100000\n86640 100000\n84275 100000\n9270 13819\n78316 100000\n55891 83764\n85253 100000\n51028 76494\n8049 11977\n78319 100000\n58130 87134\n95043 100000\n65752 98627\n63367 95034\n7838 11677\n1805 2698\n32228 48227\n65045 97538\n86658 100000\n24242 36286\n6670 9930\n9462 14114\n76142 100000\n52667 78955\n93620 100000\n184 268\n73894 100000\n39363 58970\n37940 56820\n24921 37301\n12005 17961\n32707 48914\n72786 100000\n89956 100000\n72300 100000\n39629 59365\n94400 100000\n1998 2995\n26483 39646\n12651 18917\n79200 100000\n40940 61361\n69462 100000\n77301 100000\n37145 55629\n10357 15457\n8958 13360\n63568 95325\n49172 73705\n59011 88453\n43099 64584\n76386 100000\n85741 100000\n9510 14185\n54431 81591\n85440 100000\n88900 100000\n58539 87748\n19656 29395\n54626 81876\n84351 100000\n11554 17264\n12007 17964\n43219 64753\n39122 58597\n57898 86784\n92616 100000\n35605 53287\n23766 35563\n26528 39708\n57029 85479\n31288 46810\n63224 94824\n50171 75206\n18309 27370\n18315 27378\n5701 8484\n70775 100000\n21672 32420\n96766 100000\n84131 100000\n78021 100000\n36593 54800\n69139 100000\n24016 35940\n9014 13445\n82171 100000\n70864 100000\n35648 53348\n78744 100000\n600 896\n40072 60026\n9570 14280\n43611 65361\n17309 25863\n4886 7265\n97129 100000\n9446 14091\n9612 14337\n7182 10711\n62736 94087\n78858 100000\n16254 24302\n53537 80251\n14535 21712\n9063 13514\n6676 9940\n49792 74644\n95265 100000\n68079 100000\n95858 100000\n23362 34971\n78931 100000\n63989 95969\n58994 88428\n24228 36265\n543 813\n3305 4919\n26551 39749\n29589 44246\n60366 90519\n25140 37628\n7682 11456\n52827 79204\n27474 41099\n75824 100000\n45135 67615\n66813 100000\n14501 21665\n35061 52456\n84318 100000\n95917 100000\n92694 100000\n58050 87015\n23001 34437\n25189 37701\n53722 80537\n77188 100000\n80823 100000\n53255 79840\n36091 54034\n94305 100000\n42382 63510\n26247 39292\n31516 47157\n55925 83822\n49522 74237\n71909 100000\n108 158\n34821 52091\n23923 35804\n76174 100000\n84442 100000\n34578 51734\n40911 61317\n4069 6040\n98461 100000\n10877 16231\n30787 46060\n18578 27770\n5697 8476\n20535 30702\n81489 100000\n79353 100000\n46627 69872\n81725 100000\n43718 65517\n57568 86277\n95329 100000\n11319 16897\n90923 100000\n31193 46663\n63823 95711\n45837 68670\n87739 100000\n83099 100000\n44609 66820\n12227 18290\n69284 100000\n54727 82032\n51033 76502\n42173 63196\n43062 64531\n8341 12415\n88922 100000\n14849 22186\n99462 100000\n89281 100000\n81167 100000\n30310 45333\n3243 4832\n57988 86915\n50195 75240\n11487 17158\n84028 100000\n17461 26100\n37251 55787\n12914 19312\n10905 16271\n68698 100000\n95291 100000\n27710 41447\n92320 100000\n72680 100000\n20262 30276\n8857 13205\n33398 49956\n33532 50156\n33038 49418\n98941 100000\n32599 48757\n32687 48888\n77052 100000\n46052 68998\n44275 66336\n52644 78914\n85550 100000\n65867 98789\n98245 100000\n84474 100000\n64460 96664\n33411 49972\n22601 33827\n23721 35500\n12198 18247\n1651 2455\n27632 41334\n96864 100000\n21184 31680\n35095 52504\n862 1291\n4375 6507\n60596 90868\n51621 77377\n59604 89350\n63422 95115\n908 1358\n22673 33932\n79007 100000\n54324 81430\n73955 100000\n57590 86314\n65684 98521\n41504 62199\n19701 29457\n16026 23960\n12467 18643\n19898 29749\n69304 100000\n76248 100000\n93222 100000\n13864 20721\n60324 90457\n46137 69128\n61637 92450\n8267 12303\n86187 100000\n65694 98538\n47 69\n10115 15098\n43897 65791\n17836 26672\n54781 82110\n15143 22622\n74760 100000\n30896 46234\n96247 100000\n30607 45783\n7697 11480\n10468 15631\n99951 100000\n92587 100000\n8859 13209\n35027 52406\n83687 100000\n52606 78855\n78711 100000\n32182 48159\n166 246\n38971 58365\n64138 96181\n58142 87153\n78429 100000\n79131 100000\n14110 21084\n28392 42466\n28723 42950\n21650 32389\n62308 93459\n94991 100000\n42431 63584\n42642 63893\n65316 97966\n55974 83891\n37987 56891\n46414 69547\n65801 98696\n93100 100000\n14626 21851\n48039 72005\n27906 41734\n38282 57335\n81824 100000\n42628 63870\n13709 20490\n71245 100000\n70635 100000\n16521 24694\n92692 100000\n21968 32867\n38677 57930\n25318 37892\n76570 100000\n17599 26301\n95980 100000\n87145 100000\n90401 100000\n64435 96626\n7228 10778\n36633 54863\n20372 30458\n20186 30166\n11481 17149\n50758 76084\n41773 62593\n73579 100000\n75715 100000\n20657 30894\n54518 81726\n59568 89292\n86127 100000\n77308 100000\n64251 96345\n5256 7828\n6374 9500\n12024 17992\n26419 39551\n70423 100000\n173 254\n80583 100000\n10809 16126\n27373 40954\n38561 57762\n81521 100000\n56795 85130\n21283 31835\n86419 100000\n5436 8101\n32434 48526\n50501 75697\n48117 72123\n59497 89183\n4996 7434\n54893 82275\n64393 96563\n63287 94919\n35608 53291\n91963 100000\n23058 34518\n76133 100000\n11260 16810\n43981 65912\n77477 100000\n403 595\n96166 100000\n28410 42494\n13489 20171\n17663 26402\n73463 100000\n83329 100000\n3328 4948\n92678 100000\n71919 100000\n76619 100000\n15506 23172\n59997 89949\n83064 100000\n98198 100000\n49404 74058\n57363 85970\n47849 71721\n66702 100000\n47593 71334\n35892 53727\n30538 45674\n36041 53950\n56569 84794\n76203 100000\n27707 41443\n73553 100000\n28510 42633\n60277 90382\n34783 52034\n42606 63835\n79182 100000\n17629 26346\n5659 8423\n22075 33028\n73562 100000\n37568 56271\n46075 69031\n37262 55805\n82116 100000\n62257 93386\n14400 21511\n82264 100000\n93727 100000\n16842 25162\n136 198\n14182 21189\n58971 88394\n85181 100000\n31893 47724\n3228 4808\n86418 100000\n97007 100000\n73011 100000\n9347 13937\n35254 52744\n80535 100000\n50590 75826\n64137 96180\n13375 19996\n85109 100000\n83424 100000\n44494 66653\n27938 41780\n93143 100000\n19880 29726\n25422 38051\n41187 61735\n46346 69437\n90304 100000\n18610 27814\n82807 100000\n48341 72449\n3147 4686\n96599 100000\n20706 30967\n85717 100000\n48030 71991\n39390 59012\n50215 75269\n13400 20033\n62526 93775\n43273 64842\n20172 30145\n43546 65263\n51107 76606\n58452 87617\n64682 96995\n7939 11822\n70667 100000\n17268 25798\n64200 96272\n8799 13116\n99108 100000\n62031 93048\n46198 69215\n38283 57337\n52859 79253\n36509 54666\n38930 58302\n26117 39092\n80280 100000\n62147 93221\n50118 75128\n45247 67787\n99949 100000\n78342 100000\n94912 100000\n17105 25558\n10389 15509\n9373 13979\n18725 27998\n88599 100000\n78032 100000\n8761 13053\n44478 66627\n51037 76509\n33358 49894\n78701 100000\n62857 94271\n76288 100000\n95219 100000\n96154 100000\n34026 50901\n23676 35439\n86186 100000\n32478 48592\n61385 92072\n59369 88990\n98615 100000\n11924 17832\n35357 52899\n31420 47012\n35628 53321\n4217 6272\n59977 89917\n70609 100000\n48739 73036\n96566 100000\n99599 100000\n69943 100000\n71034 100000\n19509 29175\n9872 14734\n43614 65365\n27998 41871\n92644 100000\n57197 85722\n67294 100000\n34399 51475\n9575 14287\n6456 9622\n65937 98896\n38847 58185\n76942 100000\n36257 54293\n13152 19672\n11041 16478\n12528 18730\n63878 95797\n82534 100000\n55979 83900\n11966 17901\n47189 70732\n24515 36706\n67379 100000\n22263 33314\n77179 100000\n86408 100000\n27277 40812\n67373 100000\n70613 100000\n70851 100000\n17758 26544\n96866 100000\n38074 57026\n4962 7383\n26319 39399\n92318 100000\n99656 100000\n11344 16935\n28268 42281\n72845 100000\n68046 100000\n83040 100000\n29795 44564\n60350 90497\n64667 96972\n35429 53011\n76852 100000\n26263 39316\n88149 100000\n46908 70301\n84647 100000\n46612 69846\n98208 100000\n80502 100000\n31343 46897\n34851 52132\n26501 39670\n1583 2361\n82076 100000\n62737 94088\n61240 91843\n36707 54974\n77018 100000\n74322 100000\n10496 15667\n46034 68971\n29244 43720\n58493 87680\n68550 100000\n2774 4132\n10308 15380\n71521 100000\n30489 45600\n51579 77318\n93085 100000\n37308 55879\n16021 23953\n50042 75022\n78181 100000\n38713 57986\n24615 36855\n94023 100000\n95688 100000\n15223 22744\n13557 20272\n97103 100000\n2128 3187\n18411 27520\n83205 100000\n45688 68447\n11173 16673\n67618 100000\n3968 5894\n5188 7730\n99793 100000\n40605 60844\n72552 100000\n59504 89193\n94736 100000\n35436 53022\n94101 100000\n62451 93663\n927 1389\n3415 5073\n77638 100000\n98820 100000\n48850 73207\n47075 70555\n79942 100000\n16507 24672\n70441 100000\n52086 78074\n52906 79326\n93671 100000\n31688 47413\n43437 65100\n91469 100000\n95755 100000\n1407 2106\n85757 100000\n41761 62576\n49130 73639\n26552 39750\n1502 2241\n22792 34116\n25943 38830\n52222 78279\n61926 92888\n41353 61968\n99250 100000\n3001 4476\n58609 87853\n73474 100000\n47044 70506\n27749 41505\n89562 100000\n57937 86846\n42874 64240\n32267 48285\n43287 64865\n69505 100000\n73464 100000\n15785 23598\n12256 18341\n40627 60876\n4599 6838\n10150 15144\n37024 55445\n66052 99073\n9180 13688\n79859 100000\n9843 14694\n27791 41566\n31390 46966\n91236 100000\n43325 64923\n22266 33319\n43956 65875\n30081 44992\n16815 25122\n68033 100000\n29243 43719\n5265 7841\n81059 100000\n41739 62542\n98928 100000\n62557 93820\n92815 100000\n67267 100000\n13263 19829\n35280 52781\n27924 41760\n21069 31504\n61536 92296\n4929 7333\n89961 100000\n91442 100000\n42904 64288\n19493 29150\n82135 100000\n10766 16060\n27929 41768\n7890 11754\n95712 100000\n77647 100000\n97548 100000\n58391 87528\n86107 100000\n33918 50740\n86891 100000\n98145 100000\n81101 100000\n48462 72631\n77616 100000\n57147 85649\n7576 11295\n59630 89393\n88757 100000\n70573 100000\n75795 100000\n80000 100000\n2309 3458\n64317 96447\n60532 90775\n70596 100000\n22565 33772\n73437 100000\n40107 60080\n91402 100000\n87071 100000\n35118 52539\n98594 100000\n47407 71054\n96608 100000\n12954 19370\n62139 93209\n69589 100000\n84659 100000\n32924 49245\n59872 89759\n15762 23564\n17486 26136\n7875 11733\n19410 29026\n72814 100000\n99447 100000\n87798 100000\n17926 26800\n85920 100000\n76887 100000\n56542 84754\n99112 100000\n14536 21713\n67199 100000\n99471 100000\n15457 23102\n51380 77028\n49000 73436\n65248 97853\n80348 100000\n74261 100000\n64993 97460\n72790 100000\n53830 80701\n96141 100000\n62581 93855\n57285 85850\n65392 98084\n22617 33852\n18985 28383\n83574 100000\n7904 11771\n53440 80110\n23320 34911\n81229 100000\n15300 22859\n92812 100000\n68398 100000\n41824 62670\n6551 9763\n33903 50715\n69632 100000\n63211 94806\n21236 31761\n56412 84552\n52636 78900\n50510 75711\n32244 48250\n2788 4157\n98423 100000\n97091 100000\n58131 87135\n81960 100000\n84730 100000\n42190 63221\n98474 100000\n4754 7067\n23875 35734\n12634 18893\n54620 81866\n73756 100000\n36639 54872\n413 613\n51534 77249\n12250 18330\n73534 100000\n55001 82439\n3742 5567\n77483 100000\n89008 100000\n94595 100000\n38317 57387\n7383 11011\n69524 100000\n26125 39106\n41006 61460\n60959 91418\n10044 14995\n27763 41524\n21910 32785\n59962 89896\n15291 22846\n58791 88129\n16370 24465\n14894 22258\n40766 61096\n31090 46510\n8500 12662\n20958 31338\n83044 100000\n3980 5911\n91098 100000\n57279 85843\n29556 44196\n90306 100000\n15451 23091\n14402 21515\n57128 85620\n64816 97197\n82411 100000\n18954 28338\n11139 16618\n96827 100000\n28411 42495\n84140 100000\n93059 100000\n62370 93547\n17867 26721\n27127 40600\n56477 84652\n70028 100000\n82770 100000\n6163 9193\n5630 8380\n78845 100000\n17166 25647\n21146 31625\n38407 57530\n83370 100000\n61071 91585\n30046 44939\n81394 100000\n52630 78892\n47548 71269\n66134 99197\n84641 100000\n7310 10902\n36911 55277\n78258 100000\n66787 100000\n33204 49667\n30712 45944\n60682 91004\n72947 100000\n26240 39279\n18996 28402\n43627 65385\n42326 63419\n54408 81556\n10851 16188\n8562 12762\n42621 63858\n13246 19805\n22307 33383\n52119 78119\n9187 13698\n42561 63775\n36698 54962\n13783 20604\n60671 90987\n15927 23818\n94827 100000\n75060 100000\n84876 100000\n56023 83962\n38438 57580\n81043 100000\n62913 94356\n9831 14676\n92971 100000\n97903 100000\n78729 100000\n12045 18027\n56285 84359\n29980 44845\n73078 100000\n64289 96404\n46596 69822\n87609 100000\n11695 17486\n91976 100000\n20250 30259\n26486 39649\n2865 4276\n1142 1706\n75099 100000\n75613 100000\n60545 90795\n72820 100000\n24844 37190\n56264 84325\n90228 100000\n73090 100000\n19337 28920\n74786 100000\n98880 100000\n99730 100000\n71232 100000\n86170 100000\n1850 2765\n98729 100000\n48660 72923\n6127 9132\n13564 20283\n75536 100000\n42647 63899\n61411 92113\n11788 17628\n37415 56039\n29885 44699\n94277 100000\n16312 24382\n66897 100000\n68255 100000\n44661 66898\n60715 91054\n62273 93406\n31745 47502\n77660 100000\n43307 64898\n27416 41019\n52417 78570\n45141 67624\n6481 9660\n67355 100000\n90526 100000\n52700 79002\n68961 100000\n71869 100000\n77581 100000\n93102 100000\n213 317\n92177 100000\n78456 100000\n85503 100000\n59883 89772\n37661 56413\n787 1179\n52534 78745\n6388 9521\n67116 100000\n55587 83307\n158 234\n39234 58770\n55874 83739\n54894 82276\n66416 99624\n58034 86987\n39226 58757\n68222 100000\n39351 58948\n59929 89844\n80649 100000\n77794 100000\n63356 95020\n42908 64296\n21982 32888\n65869 98793\n26524 39703\n84073 100000\n30730 45974\n58907 88296\n99996 100000\n49661 74446\n54130 81145\n20933 31301\n46754 70064\n63052 94565\n41486 62172\n90980 100000\n77378 100000\n73377 100000\n10117 15101\n69318 100000\n4750 7061\n75011 100000\n62460 93675\n63848 95751\n65280 97906\n84155 100000\n23002 34438\n22022 32949\n57798 86629\n97395 100000\n68431 100000\n46184 69194\n95544 100000\n41329 61931\n98026 100000\n84607 100000\n27187 40683\n97837 100000\n59955 89886\n1556 2321\n70959 100000\n6379 9508\n52530 78741\n72223 100000\n45568 68262\n77529 100000\n12831 19189\n5840 8697\n61632 92440\n2133 3194\n99570 100000\n77499 100000\n36138 54110\n67091 100000\n15713 23488\n49592 74344\n39001 58411\n23901 35773\n70994 100000\n4460 6634\n51908 77809\n54753 82070\n27858 41666\n50316 75424\n53673 80462\n9296 13860\n52397 78537\n19186 28686\n62142 93212\n79921 100000\n29747 44488\n3974 5904\n9617 14344\n33737 50466\n11721 17527\n47104 70599\n5841 8699\n54481 81667\n40895 61296\n46378 69490\n61899 92849\n88290 100000\n99941 100000\n97423 100000\n1228 1837\n60150 90186\n47987 71927\n98341 100000\n16296 24358\n98828 100000\n53126 79648\n60422 90607\n15050 22486\n64113 96144\n44912 67269\n94229 100000\n39070 58515\n20288 30325\n22733 34025\n75932 100000\n26386 39503\n85020 100000\n36496 54646\n66524 99781\n86137 100000\n53731 80552\n81354 100000\n82860 100000\n33323 49841\n58029 86980\n93702 100000\n37735 56519\n13271 19842\n56094 84068\n74463 100000\n51976 77914\n75596 100000\n16925 25289\n73174 100000\n70623 100000\n7476 11147\n81982 100000\n13427 20080\n61253 91866\n57160 85668\n69074 100000\n2073 3108\n51131 76646\n48582 72808\n35710 53441\n23436 35079\n53553 80278\n34145 51080\n4120 6123\n74230 100000\n94887 100000\n15325 22895\n96965 100000\n53671 80458\n18185 27183\n3416 5075\n89487 100000\n93284 100000\n6234 9297\n77409 100000\n64495 96712\n36129 54096\n41938 62844\n81720 100000\n34982 52338\n30761 46019\n28936 43260\n77566 100000\n24719 37004\n93105 100000\n18514 27675\n53998 80948\n12074 18071\n93218 100000\n18 27\n917 1371\n71395 100000\n83311 100000\n96345 100000\n71773 100000\n89331 100000\n85391 100000\n68679 100000\n39110 58577\n64768 97122\n57109 85597\n34747 51980\n3080 4591\n87860 100000\n27282 40819\n28186 42156\n62977 94451\n30667 45873\n8422 12535\n76643 100000\n75986 100000\n22826 34169\n11604 17345\n11942 17863\n22950 34364\n36499 54649\n69627 100000\n70284 100000\n91131 100000\n96988 100000\n52592 78834\n76474 100000\n88076 100000\n5788 8617\n15272 22817\n73490 100000\n44485 66637\n83919 100000\n95398 100000\n15058 22497\n7154 10669\n91373 100000\n27189 40687\n88044 100000\n10290 15351\n15583 23293\n30844 46151\n57342 85938\n8481 12631\n51860 77737\n58755 88072\n31713 47456\n10815 16134\n88709 100000\n88114 100000\n49728 74545\n1676 2497\n80666 100000\n75205 100000\n87714 100000\n96418 100000\n95501 100000\n8136 12108\n88553 100000\n22329 33419\n87752 100000\n84771 100000\n15843 23687\n38318 57389\n7985 11887\n37307 55877\n87977 100000\n2451 3667\n41446 62113\n70311 100000\n1207 1807\n77815 100000\n28736 42969\n53828 80698\n12208 18262\n95647 100000\n87643 100000\n83721 100000\n61950 92925\n22150 33145\n74092 100000\n85480 100000\n51303 76906\n2061 3089\n68066 100000\n99216 100000\n52454 78629\n81082 100000\n78075 100000\n11539 17239\n63463 95178\n41243 61811\n92108 100000\n8973 13382\n37354 55947\n10979 16381\n55576 83290\n88978 100000\n74310 100000\n98187 100000\n30929 46280\n30066 44971\n46650 69904\n75131 100000\n36004 53896\n64127 96163\n3343 4968\n28701 42916\n1356 2028\n46678 69947\n5513 8214\n30286 45299\n32355 48414\n25174 37677\n53928 80843\n62091 93139\n31519 47163\n35340 52870\n38781 58087\n91296 100000\n90442 100000\n60783 91153\n77050 100000\n32999 49358\n27021 40435\n18403 27509\n7118 10611\n27735 41485\n74884 100000\n39327 58912\n78561 100000\n86827 100000\n40894 61295\n88128 100000\n25067 37524\n15941 23838\n49860 74745\n83483 100000\n44374 66479\n90524 100000\n80546 100000\n26547 39741\n94764 100000\n10568 15772\n37450 56093\n46366 69471\n46537 69729\n38163 57155\n47561 71288\n20099 30040\n57194 85716\n97661 100000\n3287 4896\n60274 90378\n65512 98268\n65053 97548\n7133 10638\n70488 100000\n23784 35591\n37429 56059\n35804 53591\n16457 24595\n95623 100000\n77892 100000\n46616 69854\n56151 84158\n47690 71474\n16012 23943\n21398 32002\n29985 44850\n24417 36557\n59021 88467\n36834 55170\n15032 22462\n35291 52799\n55662 83412\n92799 100000\n51052 76531\n35277 52777\n62602 93887\n44849 67172\n26498 39665\n52613 78867\n58433 87590\n86654 100000\n76915 100000\n42491 63670\n20484 30623\n50418 75579\n48490 72673\n81800 100000\n91985 100000\n45893 68755\n69716 100000\n52487 78680\n49676 74470\n4502 6696\n18666 27905\n57623 86367\n5613 8357\n53703 80509\n10693 15949\n52388 78524\n30160 45109\n71798 100000\n6268 9348\n79103 100000\n19110 28577\n68636 100000\n24720 37005\n43265 64831\n74189 100000\n92197 100000\n81149 100000\n33139 49576\n27011 40419\n61366 92045\n76194 100000\n97049 100000\n15026 22453\n64336 96472\n37629 56363\n4590 6826\n69761 100000\n82859 100000\n88975 100000\n59820 89686\n24373 36489\n50619 75865\n5440 8107\n84199 100000\n85859 100000\n57334 85925\n54055 81028\n90781 100000\n73457 100000\n54097 81094\n25554 38242\n16130 24114\n98313 100000\n28886 43190\n97033 100000\n55210 82744\n75884 100000\n2654 3970\n84317 100000\n18217 27229\n97228 100000\n97117 100000\n42946 64359\n25561 38256\n86614 100000\n16094 24065\n22189 33199\n56984 85407\n14390 21496\n89625 100000\n61491 92227\n78832 100000\n52489 78683\n56636 84889\n36733 55014\n83642 100000\n54442 81607\n63674 95479\n68008 100000\n88920 100000\n15612 23336\n83295 100000\n13921 20804\n44991 67394\n38336 57420\n2998 4472\n72530 100000\n13370 19989\n91904 100000\n18925 28294\n32792 49043\n67074 100000\n83820 100000\n90746 100000\n86369 100000\n48997 73432\n8963 13368\n38779 58085\n51352 76980\n72875 100000\n39955 59851\n27447 41061\n12813 19166\n94567 100000\n50914 76321\n11794 17637\n10242 15280\n81114 100000\n7090 10570\n22538 33731\n14958 22357\n38711 57984\n91050 100000\n40421 60555\n67413 100000\n67142 100000\n62765 94132\n3433 5098\n35774 53543\n65634 98448\n40841 61216\n31237 46730\n1058 1584\n90 133\n73513 100000\n22056 32999\n3413 5071\n39415 59053\n2072 3106\n1863 2786\n29139 43562\n38657 57901\n66286 99424\n57336 85928\n31101 46527\n17356 25939\n27557 41220\n86751 100000\n98289 100000\n85186 100000\n95348 100000\n87460 100000\n89783 100000\n46036 68975\n69930 100000\n19627 29355\n6873 10246\n2735 4078\n89262 100000\n68671 100000\n48459 72627\n68073 100000\n87705 100000\n60771 91137\n75207 100000\n77594 100000\n98969 100000\n37048 55482\n61153 91708\n86231 100000\n9972 14883\n42037 62997\n52698 79000\n29594 44254\n58154 87171\n20987 31380\n73431 100000\n40403 60529\n29045 43427\n47761 71584\n27851 41656\n39105 58570\n234 347\n1355 2027\n15690 23453\n86612 100000\n20722 30990\n80932 100000\n77866 100000\n21006 31411\n29603 44268\n87889 100000\n41977 62907\n78488 100000\n26417 39549\n51563 77297\n96343 100000\n62426 93628\n81177 100000\n22494 33667\n42404 63542\n81916 100000\n97907 100000\n7937 11819\n42090 63076\n93507 100000\n56703 84990\n46353 69449\n53499 80198\n64736 97073\n99054 100000\n62870 94290\n95639 100000\n18757 28043\n10632 15863\n72916 100000\n1003 1503\n54217 81274\n48413 72556\n17876 26735\n51800 77649\n19082 28531\n59144 88647\n54064 81044\n67870 100000\n95792 100000\n43142 64646\n32090 48018\n68625 100000\n90824 100000\n40004 59926\n42681 63950\n12767 19094\n22822 34162\n27423 41028\n96544 100000\n67805 100000\n98334 100000\n2477 3707\n59931 89846\n91320 100000\n77590 100000\n18552 27733\n89988 100000\n41752 62562\n9647 14390\n47346 70964\n8409 12513\n88568 100000\n49223 73782\n95573 100000\n51451 77123\n10940 16323\n90606 100000\n49260 73833\n42304 63389\n68102 100000\n39336 58925\n94182 100000\n80829 100000\n6302 9399\n59291 88876\n648 971\n51902 77798\n80127 100000\n74227 100000\n11835 17700\n91575 100000\n18728 28003\n7440 11095\n82794 100000\n9912 14795\n35536 53187\n19133 28610\n54563 81790\n63528 95270\n57655 86417\n80831 100000\n48287 72371\n24252 36300\n995 1489\n999 1497\n80813 100000\n30832 46132\n65443 98162\n23748 35537\n38482 57647\n52360 78481\n79808 100000\n21922 32802\n50230 75292\n21537 32215\n76488 100000\n99735 100000\n39956 59853\n54798 82137\n40758 61083\n75675 100000\n74650 100000\n48448 72607\n57980 86903\n47682 71463\n42492 63671\n38553 57750\n61106 91634\n59843 89718\n76134 100000\n56339 84441\n8424 12538\n76546 100000\n89231 100000\n33097 49512\n22138 33127\n49886 74786\n37681 56441\n79106 100000\n43744 65558\n21427 32046\n52913 79335\n2729 4070\n48532 72732\n44732 67002\n77841 100000\n92214 100000\n60104 90116\n84869 100000\n3403 5056\n51424 77089\n59909 89811\n10034 14981\n76116 100000\n58565 87785\n52929 79363\n59425 89071\n75647 100000\n42083 63064\n41183 61731\n41395 62034\n98144 100000\n75771 100000\n73831 100000\n94422 100000\n14088 21050\n72381 100000\n72238 100000\n54016 80970\n65221 97811\n39357 58959\n63928 95877\n69288 100000\n32619 48788\n51474 77157\n81270 100000\n82838 100000\n2642 3955\n97211 100000\n23558 35261\n39484 59155\n95307 100000\n13885 20754\n82023 100000\n82956 100000\n54588 81825\n49663 74449\n58083 87065\n58711 88007\n27808 41592\n46363 69465\n62079 93121\n5888 8772\n61831 92740\n71370 100000\n9387 14000\n74707 100000\n26947 40329\n32929 49253\n12975 19402\n76184 100000\n16499 24661\n78538 100000\n19313 28881\n64183 96250\n70630 100000\n37297 55860\n98040 100000\n29899 44720\n16963 25347\n54726 82030\n69911 100000\n52635 78898\n53388 80033\n98362 100000\n99724 100000\n11053 16495\n81441 100000\n34432 51522\n39927 59809\n19754 29540\n19100 28562\n84812 100000\n81548 100000\n80331 100000\n19975 29861\n24339 36431\n9666 14417\n94251 100000\n78567 100000\n44365 66467\n62027 93040\n344 506\n13398 20030\n38205 57217\n87476 100000\n19287 28841\n16419 24537\n72013 100000\n83693 100000\n88538 100000\n45531 68209\n37991 56897\n6622 9862\n25183 37690\n19618 29341\n72244 100000\n29076 43474\n1076 1613\n85370 100000\n67729 100000\n98061 100000\n16185 24195\n13040 19499\n70694 100000\n35427 53008\n60932 91375\n26461 39615\n77905 100000\n91808 100000\n22451 33602\n48151 72175\n85985 100000\n68035 100000\n91957 100000\n29902 44724\n30478 45583\n29330 43848\n32365 48427\n25837 38672\n48819 73161\n15081 22530\n96264 100000\n75135 100000\n82525 100000\n66742 100000\n16522 24695\n31602 47287\n97786 100000\n80414 100000\n92447 100000\n82196 100000\n56831 85185\n45940 68824\n48070 72053\n99585 100000\n78425 100000\n62860 94275\n36263 54299\n91457 100000\n48896 73280\n12155 18187\n32691 48894\n21218 31734\n74283 100000\n23739 35524\n42048 63011\n59569 89293\n56871 85248\n24014 35937\n99617 100000\n66766 100000\n32295 48330\n92911 100000\n76556 100000\n15359 22946\n28931 43251\n72979 100000\n18798 28101\n33706 50418\n40371 60480\n83134 100000\n95159 100000\n34396 51472\n68977 100000\n13724 20511\n88935 100000\n27979 41842\n53175 79717\n47967 71898\n79895 100000\n6614 9849\n7331 10933\n11534 17234\n34574 51727\n11967 17902\n45848 68687\n20559 30738\n36853 55200\n75421 100000\n3797 5643\n85877 100000\n13894 20766\n90640 100000\n42487 63663\n65729 98589\n82899 100000\n21244 31776\n16201 24221\n34011 50877\n68540 100000\n27755 41514\n79372 100000\n16234 24272\n61197 91773\n76542 100000\n36352 54433\n80033 100000\n70461 100000\n31835 47640\n1442 2158\n63638 95425\n94380 100000\n64345 96487\n96576 100000\n52769 79112\n71602 100000\n47387 71027\n4472 6651\n6996 10432\n3068 4573\n32706 48912\n12282 18382\n70448 100000\n29336 43858\n32193 48176\n81488 100000\n81250 100000\n79669 100000\n14257 21300\n48507 72699\n93677 100000\n3400 5053\n28273 42290\n79254 100000\n94947 100000\n34620 51795\n69670 100000\n62644 93953\n11669 17443\n24467 36632\n24876 37236\n87404 100000\n30336 45369\n30414 45489\n39195 58711\n58456 87624\n57065 85533\n42819 64156\n94861 100000\n20901 31255\n20964 31347\n25284 37842\n60668 90982\n6728 10019\n70732 100000\n56950 85361\n99512 100000\n56180 84202\n5976 8898\n78484 100000\n77729 100000\n14337 21418\n43126 64623\n91393 100000\n52247 78317\n89266 100000\n67376 100000\n72720 100000\n54959 82379\n38520 57703\n126 182\n79047 100000\n79139 100000\n27262 40793\n26118 39094\n96809 100000\n45591 68298\n94670 100000\n54000 80950\n33845 50624\n14313 21383\n88206 100000\n3272 4876\n6691 9961\n51421 77084\n44339 66433\n30592 45759\n71674 100000\n85658 100000\n34528 51661\n39754 59549\n68164 100000\n32608 48771\n46796 70127\n91439 100000\n31182 46645\n31647 47351\n20782 31082\n71263 100000\n88784 100000\n43830 65687\n84371 100000\n26222 39253\n53133 79656\n40686 60970\n72032 100000\n40652 60915\n58889 88272\n27671 41391\n40646 60905\n76210 100000\n50136 75155\n42128 63130\n66428 99639\n8863 13215\n82701 100000\n87018 100000\n4152 6174\n26502 39672\n22811 34146\n86259 100000\n92808 100000\n94969 100000\n88550 100000\n39625 59361\n58322 87428\n73555 100000\n72417 100000\n67073 100000\n56435 84586\n19121 28594\n47111 70611\n37892 56749\n14555 21743\n19626 29354\n79309 100000\n22165 33166\n55658 83408\n27014 40424\n35055 52448\n64514 96742\n87065 100000\n38333 57414\n20698 30954\n79964 100000\n20278 30307\n86076 100000\n38827 58154\n58650 87917\n81994 100000\n56951 85362\n91001 100000\n17935 26814\n5684 8458\n3459 5139\n19801 29611\n45818 68642\n65847 98762\n17450 26085\n7789 11605\n37154 55642\n84978 100000\n99388 100000\n6139 9154\n73908 100000\n21653 32392\n637 955\n68240 100000\n23028 34478\n7711 11503\n93609 100000\n94110 100000\n67361 100000\n95296 100000\n60321 90452\n74552 100000\n40005 59928\n17169 25652\n63129 94682\n6227 9289\n80203 100000\n78849 100000\n19141 28620\n18362 27450\n55331 82927\n62063 93097\n71185 100000\n36880 55235\n52140 78151\n53633 80402\n5859 8726\n50449 75621\n49392 74039\n63982 95958\n78756 100000\n28366 42429\n58613 87859\n98077 100000\n88286 100000\n33287 49791\n40951 61378\n17643 26367\n72056 100000\n49062 73535\n88193 100000\n42742 64043\n92419 100000\n51428 77094\n87954 100000\n30621 45806\n79228 100000\n43904 65801\n39115 58586\n54608 81852\n54546 81768\n75272 100000\n33178 49629\n80107 100000\n43141 64645\n31808 47599\n70761 100000\n85593 100000\n71792 100000\n7298 10884\n58027 86976\n43874 65753\n95638 100000\n64932 97370\n49975 74923\n2903 4333\n9636 14374\n58588 87821\n25613 38334\n21476 32121\n23586 35302\n44267 66328\n65936 98894\n45268 67818\n20134 30091\n42274 63347\n73980 100000\n4 6\n99691 100000\n78062 100000\n32238 48241\n32469 48580\n3450 5123\n30143 45085\n50578 75808\n46837 70191\n21150 31631\n56545 84760\n92439 100000\n57333 85923\n20204 30191\n82790 100000\n19734 29509\n85199 100000\n30982 46356\n73690 100000\n69347 100000\n41717 62508\n50154 75183\n63061 94577\n67927 100000\n89791 100000\n9409 14032\n30876 46204\n89401 100000\n71349 100000\n31822 47622\n4641 6901\n44966 67355\n12159 18192\n54693 81976\n2603 3898\n16876 25214\n6104 9097\n99251 100000\n28053 41955\n15178 22673\n23201 34726\n77102 100000\n14173 21179\n4076 6051\n1750 2610\n29841 44631\n91163 100000\n14252 21292\n40604 60842\n19830 29657\n52115 78114\n89940 100000\n82500 100000\n54816 82164\n7145 10655\n12016 17978\n90941 100000\n34882 52180\n82964 100000\n40094 60059\n20088 30024\n67904 100000\n91262 100000\n37326 55908\n59905 89804\n21618 32338\n16848 25170\n1347 2013\n4402 6544\n5250 7817\n29749 44492\n11670 17444\n57890 86771\n54259 81338\n69672 100000\n18340 27420\n97855 100000\n6401 9542\n77069 100000\n33317 49831\n88903 100000\n32117 48061\n44285 66351\n76518 100000\n80960 100000\n47027 70482\n88344 100000\n8028 11948\n98984 100000\n30949 46311\n66274 99406\n81543 100000\n36368 54459\n92392 100000\n80471 100000\n38307 57372\n24948 37338\n1334 1995\n88464 100000\n52134 78143\n28222 42212\n68386 100000\n64656 96957\n97259 100000\n12748 19065\n43068 64540\n80673 100000\n67412 100000\n83803 100000\n60075 90073\n40221 60254\n96410 100000\n88846 100000\n56362 84476\n10373 15482\n23956 35851\n24492 36668\n2813 4195\n40846 61223\n56425 84570\n65379 98065\n8411 12516\n50990 76438\n93672 100000\n86536 100000\n9112 13589\n45741 68528\n95572 100000\n63740 95583\n78125 100000\n29878 44687\n52179 78214\n25539 38221\n90276 100000\n4119 6121\n48456 72622\n36769 55068\n26108 39077\n30342 45376\n50766 76097\n41999 62941\n22821 34160\n43846 65712\n13274 19847\n25131 37615\n76574 100000\n44639 66862\n61293 91928\n80388 100000\n95407 100000\n71515 100000\n20132 30088\n84122 100000\n65583 98373\n77936 100000\n16836 25153\n98080 100000\n71752 100000\n84129 100000\n25223 37757\n28406 42489\n79823 100000\n41818 62660\n78085 100000\n88970 100000\n87442 100000\n80182 100000\n62513 93759\n21223 31740\n32497 48619\n4748 7058\n82139 100000\n38630 57863\n31098 46522\n39763 59562\n60590 90860\n60705 91040\n61333 91994\n18016 26930\n23617 35347\n28071 41983\n62537 93790\n76588 100000\n30785 46056\n69785 100000\n28083 42002\n92507 100000\n45733 68515\n23078 34545\n98631 100000\n48254 72323\n31079 46496\n23738 35522\n17062 25492\n35990 53874\n95776 100000\n37691 56454\n20629 30849\n34474 51582\n5826 8675\n18623 27834\n18439 27561\n44011 65954\n40227 60263\n95297 100000\n14941 22331\n45879 68734\n44899 67249\n33827 50599\n15520 23196\n57154 85659\n29941 44784\n71016 100000\n15650 23395\n29404 43960\n67089 100000\n55970 83886\n96960 100000\n53539 80254\n39803 59625\n53884 80780\n89155 100000\n4347 6464\n55780 83591\n54539 81757\n75242 100000\n25615 38338\n81927 100000\n45396 68009\n41222 61783\n33296 49805\n36039 53946\n19706 29466\n69348 100000\n2760 4113\n98617 100000\n481 717\n51655 77429\n64000 95983\n77425 100000\n62302 93450\n17848 26691\n61313 91962\n32041 47944\n44818 67122\n2226 3330\n94284 100000\n5599 8336\n7623 11367\n94646 100000\n79187 100000\n37650 56395\n96450 100000\n81273 100000\n18947 28326\n81022 100000\n88287 100000\n9963 14872\n37874 56722\n85648 100000\n61220 91808\n24797 37126\n61993 92989\n31424 47019\n92432 100000\n93170 100000\n20211 30200\n11988 17934\n76939 100000\n93604 100000\n3461 5142\n37849 56683\n10409 15544\n51970 77904\n7722 11516\n3568 5304\n15151 22635\n56633 84886\n99916 100000\n59871 89758\n39371 58984\n84130 100000\n54451 81620\n29560 44203\n47983 71921\n45299 67865\n77546 100000\n72048 100000\n92866 100000\n58816 88171\n8906 13280\n7473 11142\n51247 76824\n49018 73461\n76592 100000\n24538 36743\n30028 44915\n99274 100000\n87844 100000\n83885 100000\n6328 9436\n67802 100000\n2651 3966\n59254 88817\n93072 100000\n47198 70746\n51852 77726\n71278 100000\n4052 6017\n89642 100000\n40996 61445\n73002 100000\n6041 9002\n88957 100000\n59771 89610\n68530 100000\n45932 68809\n24992 37410\n24272 36326\n48027 71986\n24413 36551\n65039 97531\n6729 10020\n97413 100000\n6099 9089\n36522 54687\n48132 72148\n8498 12659\n31800 47585\n70250 100000\n6602 9832\n99290 100000\n43481 65165\n81442 100000\n2037 3053\n85739 100000\n40589 60821\n35616 53305\n41516 62220\n47284 70871\n11622 17373\n77202 100000\n98407 100000\n6321 9426\n41861 62729\n41161 61694\n54210 81265\n94586 100000\n26187 39198\n34160 51102\n83629 100000\n78236 100000\n42930 64332\n13457 20122\n26613 39843\n76490 100000\n8293 12342\n87868 100000\n54062 81040\n2195 3285\n54740 82050\n80417 100000\n42522 63715\n58809 88160\n71134 100000\n14795 22103\n55578 83294\n8016 11932\n95066 100000\n78491 100000\n90018 100000\n27033 40452\n77549 100000\n36653 54891\n57852 86709\n83583 100000\n39512 59201\n32127 48074\n18116 27081\n95934 100000\n61707 92561\n28400 42478\n65375 98059\n85563 100000\n94520 100000\n18513 27674\n24733 37025\n62046 93074\n38716 57990\n61935 92903\n658 984\n12768 19095\n56322 84414\n4610 6851\n24072 36025\n1904 2852\n98028 100000\n24565 36780\n43784 65616\n5994 8928\n70312 100000\n56647 84904\n37848 56682\n97637 100000\n7114 10606\n26365 39473\n97024 100000\n32532 48665\n21171 31660\n50604 75844\n27358 40931\n28734 42967\n47626 71380\n55507 83191\n65490 98236\n90097 100000\n34347 51389\n95985 100000\n53479 80166\n81932 100000\n38597 57815\n83804 100000\n2846 4245\n45601 68314\n45276 67831\n95629 100000\n23010 34451\n47498 71190\n16637 24859\n6489 9671\n27377 40960\n81102 100000\n53645 80422\n54254 81329\n98225 100000\n24153 36146\n37310 55881\n87033 100000\n19534 29213\n72402 100000\n17528 26198\n61023 91511\n73450 100000\n7464 11129\n10085 15053\n59867 89752\n88375 100000\n83598 100000\n43173 64687\n86899 100000\n19138 28617\n17032 25448\n46411 69542\n1658 2467\n45586 68289\n55298 82879\n3488 5181\n94815 100000\n65547 98320\n27389 40978\n32080 48002\n67788 100000\n5255 7826\n20423 30536\n6872 10245\n42684 63954\n66886 100000\n48161 72191\n83597 100000\n10265 15313\n61308 91955\n92459 100000\n32452 48555\n16493 24652\n36670 54918\n93722 100000\n3574 5312\n37745 56532\n82955 100000\n45028 67442\n75116 100000\n71117 100000\n13820 20659\n49817 74681\n27940 41784\n66385 99577\n71665 100000\n12459 18630\n62926 94375\n45373 67977\n10664 15907\n41385 62017\n68727 100000\n2720 4059\n3741 5565\n79366 100000\n45884 68744\n5258 7830\n41781 62603\n7052 10512\n36780 55085\n74164 100000\n90924 100000\n93501 100000\n11050 16491\n89929 100000\n23228 34770\n97273 100000\n27296 40839\n68420 100000\n35975 53849\n3703 5507\n73912 100000\n49836 74712\n9712 14491\n22536 33728\n63658 95454\n29825 44612\n51639 77404\n73403 100000\n94003 100000\n65559 98340\n45143 67626\n66858 100000\n26068 39013\n84782 100000\n26549 39745\n17181 25670\n53752 80584\n83842 100000\n28182 42148\n42566 63782\n48191 72232\n29035 43411\n82797 100000\n69144 100000\n78045 100000\n96542 100000\n53530 80240\n52874 79274\n24614 36853\n8284 12326\n40065 60017\n90943 100000\n56343 84447\n18231 27251\n65269 97886\n4895 7278\n19769 29565\n16427 24548\n68275 100000\n93900 100000\n41878 62752\n15624 23354\n40556 60768\n56566 84790\n63459 95171\n7125 10624\n47905 71804\n48473 72647\n30463 45563\n94408 100000\n64630 96915\n27514 41160\n98229 100000\n94437 100000\n22305 33380\n34936 52266\n28826 43103\n60188 90243\n27971 41832\n15647 23390\n67303 100000\n40332 60423\n44301 66374\n8034 11956\n2303 3447\n77379 100000\n43859 65732\n39761 59560\n12983 19413\n12826 19183\n51238 76812\n35160 52602\n7165 10686\n35484 53102\n34975 52328\n45175 67673\n45698 68463\n91311 100000\n87815 100000\n42226 63273\n22813 34148\n11195 16708\n29637 44324\n38730 58014\n11947 17870\n13331 19935\n71630 100000\n45922 68796\n39143 58632\n94142 100000\n78046 100000\n6794 10120\n27071 40509\n95694 100000\n91257 100000\n14658 21899\n64551 96797\n90739 100000\n9325 13902\n5532 8243\n2976 4438\n91263 100000\n81651 100000\n56845 85206\n11940 17859\n78049 100000\n42308 63395\n478 714\n10759 16049\n3932 5840\n14370 21466\n54804 82147\n19834 29662\n6006 8948\n1639 2437\n50112 75121\n71080 100000\n54545 81767\n17581 26276\n11858 17738\n87407 100000\n31308 46840\n25178 37682\n14978 22382\n6366 9489\n942 1410\n45108 67573\n87381 100000\n8704 12968\n34682 51887\n75072 100000\n31213 46691\n70647 100000\n1477 2205\n89688 100000\n45145 67629\n90627 100000\n78284 100000\n27750 41507\n72443 100000\n33075 49478\n92732 100000\n42765 64076\n65191 97767\n9089 13553\n96003 100000\n47171 70700\n85583 100000\n87989 100000\n76702 100000\n66883 100000\n91997 100000\n9702 14473\n57323 85909\n91574 100000\n45994 68907\n36351 54432\n6100 9091\n51570 77305\n33270 49765\n35179 52630\n85312 100000\n36865 55217\n9171 13675\n42169 63191\n76621 100000\n32134 48085\n87790 100000\n30413 45487\n37826 56646\n79356 100000\n37924 56799\n93116 100000\n23599 35321\n50979 76422\n51397 77050\n30791 46066\n41692 62471\n23588 35305\n76075 100000\n69278 100000\n47855 71729\n50361 75494\n34225 51199\n77595 100000\n94203 100000\n6945 10352\n81326 100000\n97644 100000\n70813 100000\n870 1304\n5771 8589\n97502 100000\n50879 76266\n57543 86243\n66267 99396\n31151 46597\n42811 64143\n11172 16671\n83223 100000\n19305 28870\n78920 100000\n4244 6313\n46345 69435\n22609 33838\n86134 100000\n80020 100000\n53423 80082\n56289 84364\n49150 73671\n39945 59834\n31454 47066\n73466 100000\n11592 17323\n53754 80588\n73561 100000\n48599 72833\n91410 100000\n26622 39855\n21235 31759\n15776 23585\n86024 100000\n31375 46944\n62017 93026\n40934 61352\n70107 100000\n123 179\n98543 100000\n44219 66262\n91558 100000\n84553 100000\n18421 27533\n13206 19751\n14683 21935\n91290 100000\n32617 48785\n11715 17519\n72311 100000\n25633 38364\n32592 48747\n76301 100000\n75745 100000\n42000 62942\n17163 25642\n83527 100000\n97648 100000\n2084 3127\n4170 6205\n82553 100000\n89374 100000\n12052 18038\n79250 100000\n31455 47067\n91038 100000\n25170 37671\n45801 68618\n97320 100000\n19188 28689\n99864 100000\n51355 76986\n15382 22981\n55471 83139\n31437 47041\n37407 56027\n24497 36676\n98433 100000\n37780 56584\n98764 100000\n41714 62503\n36620 54843\n61867 92798\n62720 94062\n95441 100000\n98888 100000\n74640 100000\n80786 100000\n19519 29192\n15007 22423\n87378 100000\n28603 42764\n66189 99281\n32914 49233\n23717 35495\n80539 100000\n21070 31506\n41647 62403\n58343 87451\n11658 17427\n58414 87562\n6669 9928\n27508 41151\n49093 73581\n44454 66597\n77176 100000\n38024 56948\n95746 100000\n44371 66473\n88011 100000\n57652 86412\n30609 45787\n78127 100000\n82967 100000\n42028 62983\n28821 43095\n90444 100000\n75237 100000\n13092 19579\n37713 56489\n51051 76529\n31124 46561\n62229 93343\n72382 100000\n42858 64218\n84102 100000\n4087 6066\n70056 100000\n60522 90758\n642 963\n47497 71189\n95176 100000\n94854 100000\n56154 84163\n21351 31933\n2431 3638\n36842 55181\n66539 99807\n71400 100000\n56212 84251\n58514 87716\n91399 100000\n54851 82217\n67136 100000\n70605 100000\n50908 76312\n17962 26850\n23917 35796\n29896 44715\n82024 100000\n66060 99085\n80507 100000\n69504 100000\n37410 56031\n82664 100000\n31194 46665\n9189 13700\n32986 49336\n91802 100000\n35766 53530\n68527 100000\n79817 100000\n83783 100000\n59108 88596\n96846 100000\n45040 67459\n44651 66880\n34922 52245\n35993 53880\n26420 39553\n36528 54696\n46656 69914\n24597 36827\n29270 43759\n37368 55969\n97557 100000\n63162 94731\n60236 90320\n58330 87436\n13385 20012\n65233 97829\n64833 97224\n49416 74075\n33803 50563\n91453 100000\n95129 100000\n74632 100000\n11056 16498\n17305 25856\n84467 100000\n67911 100000\n7678 11450\n49814 74675\n90258 100000\n76756 100000\n10714 15983\n5784 8612\n35599 53276\n36082 54021\n39280 58838\n26544 39735\n48496 72682\n17984 26886\n30666 45872\n64984 97448\n11467 17125\n8174 12166\n97828 100000\n60228 90309\n34096 51005\n29121 43534\n16806 25109\n97162 100000\n30302 45321\n19242 28776\n75316 100000\n56781 85111\n65251 97857\n42323 63416\n87041 100000\n67066 100000\n37566 56269\n86853 100000\n7379 11004\n28299 42326\n75364 100000\n33346 49877\n16203 24224\n65330 97988\n84694 100000\n98999 100000\n48845 73199\n37637 56376\n46897 70283\n47763 71587\n80054 100000\n23925 35807\n33828 50601\n90251 100000\n87430 100000\n75607 100000\n96636 100000\n97954 100000\n33694 50399\n26529 39710\n86618 100000\n8156 12140\n17428 26050\n55337 82935\n96084 100000\n92095 100000\n44149 66163\n86795 100000\n42884 64257\n22491 33662\n87721 100000\n21482 32130\n1446 2164\n70913 100000\n20384 30476\n52081 78066\n66308 99458\n1939 2898\n70637 100000\n69155 100000\n42794 64117\n16430 24554\n85230 100000\n27171 40662\n26554 39752\n6554 9767\n92302 100000\n23780 35585\n46629 69875\n31099 46523\n80122 100000\n8068 12004\n41703 62487\n48805 73142\n3970 5897\n143 210\n7757 11563\n88269 100000\n34846 52127\n44045 66004\n41574 62298\n51523 77232\n29083 43483\n68483 100000\n88177 100000\n23402 35028\n67013 100000\n33106 49525\n84040 100000\n65965 98941\n77401 100000\n30810 46097\n92595 100000\n8389 12487\n30920 46268\n46918 70316\n36907 55272\n29029 43402\n44464 66608\n59933 89850\n85193 100000\n72363 100000\n28045 41944\n9877 14742\n67233 100000\n65275 97898\n20041 29955\n36081 54019\n59564 89286\n17767 26557\n96954 100000\n10532 15717\n11639 17397\n84505 100000\n61708 92563\n39375 58989\n52575 78809\n51805 77656\n96363 100000\n54124 81136\n9630 14365\n55518 83210\n21755 32540\n14214 21237\n77973 100000\n50906 76310\n50339 75462\n6717 10003\n64362 96515\n49183 73722\n64915 97344\n91668 100000\n49182 73720\n85976 100000\n48315 72408\n50630 75880\n41336 61941\n54092 81087\n80109 100000\n75495 100000\n84165 100000\n89418 100000\n26331 39420\n52961 79413\n47233 70797\n31248 46747\n15157 22644\n66664 99993\n78300 100000\n79724 100000\n93705 100000\n1429 2140\n18604 27806\n14816 22135\n33884 50686\n18569 27757\n96985 100000\n61569 92342\n27620 41314\n60617 90903\n3453 5128\n24229 36266\n14192 21202\n28581 42732\n28085 42006\n19693 29447\n59310 88903\n37607 56330\n84153 100000\n4978 7409\n80572 100000\n73058 100000\n72698 100000\n50610 75853\n79837 100000\n62575 93848\n7563 11276\n55947 83852\n85047 100000\n3368 5006\n45307 67878\n69999 100000\n44173 66200\n83678 100000\n69664 100000\n18092 27045\n9835 14682\n89512 100000\n75987 100000\n4300 6396\n67621 100000\n21613 32329\n38477 57639\n88990 100000\n5285 7870\n63927 95875\n17750 26532\n96482 100000\n38956 58341\n83129 100000\n67198 100000\n58849 88217\n92352 100000\n50937 76355\n45346 67937\n51093 76589\n292 429\n34542 51682\n24508 36692\n2260 3381\n89299 100000\n90683 100000\n69478 100000\n94016 100000\n30790 46065\n44897 67246\n96149 100000\n18393 27496\n65602 98402\n21297 31854\n14412 21528\n88420 100000\n32003 47890\n96364 100000\n93488 100000\n15949 23850\n4510 6708\n81821 100000\n61132 91674\n28109 42043\n69546 100000\n94364 100000\n79892 100000\n80244 100000\n72446 100000\n3123 4652\n64797 97167\n35439 53027\n11322 16902\n59554 89272\n95292 100000\n2840 4237\n58982 88411\n25785 38596\n19224 28745\n28032 41923\n29665 44366\n35752 53509\n70014 100000\n91362 100000\n74543 100000\n50707 76006\n3477 5164\n6626 9867\n20454 30582\n27111 40574\n90008 100000\n96603 100000\n82598 100000\n72491 100000\n75648 100000\n2809 4191\n50397 75549\n33247 49730\n34895 52203\n22114 33090\n78550 100000\n86902 100000\n81889 100000\n28332 42377\n78553 100000\n97166 100000\n41661 62427\n4131 6142\n15943 23841\n76422 100000\n25042 37487\n6081 9064\n83038 100000\n58183 87213\n41425 62080\n20151 30115\n36898 55257\n80322 100000\n70823 100000\n68366 100000\n93646 100000\n89506 100000\n90698 100000\n13171 19699\n69233 100000\n36659 54900\n87915 100000\n9884 14754\n49960 74899\n3522 5232\n99713 100000\n52312 78413\n66503 99751\n74001 100000\n14497 21657\n50373 75513\n80349 100000\n14593 21798\n80166 100000\n61631 92438\n9483 14142\n52830 79208\n81026 100000\n65164 97725\n32623 48795\n13685 20452\n42026 62980\n81685 100000\n53603 80358\n63880 95800\n68904 100000\n31809 47601\n10612 15836\n14101 21069\n78477 100000\n32431 48523\n31548 47206\n28558 42698\n36916 55283\n37630 56365\n77891 100000\n79166 100000\n81288 100000\n4820 7167\n59236 88787\n43415 65067\n92282 100000\n67526 100000\n18528 27696\n73194 100000\n90708 100000\n23333 34929\n81165 100000\n48764 73076\n29972 44833\n91298 100000\n33646 50324\n32187 48166\n51710 77516\n11647 17412\n89361 100000\n84280 100000\n80872 100000\n38191 57197\n84355 100000\n44511 66679\n54325 81431\n90388 100000\n643 965\n96707 100000\n36924 55296\n56710 85001\n88906 100000\n46023 68957\n96314 100000\n61049 91549\n97232 100000\n7241 10797\n42764 64075\n36265 54302\n71430 100000\n95874 100000\n2637 3948\n26243 39284\n24954 37347\n45281 67838\n7224 10774\n67483 100000\n66097 99145\n92152 100000\n3876 5757\n25270 37823\n60253 90346\n16159 24158\n50076 75070\n98933 100000\n41809 62646\n55838 83684\n40723 61029\n7413 11059\n31660 47372\n9267 13816\n52190 78232\n62613 93906\n48754 73060\n95580 100000\n72276 100000\n72215 100000\n24937 37321\n31920 47764\n25408 38029\n50149 75176\n15295 22852\n2609 3905\n51933 77847\n71815 100000\n35930 53783\n16533 24713\n29057 43446\n92679 100000\n80550 100000\n72982 100000\n56177 84196\n84112 100000\n30510 45630\n94228 100000\n62790 94168\n18294 27345\n98895 100000\n19659 29399\n38916 58281\n38095 57059\n30776 46041\n51676 77462\n93818 100000\n97703 100000\n81607 100000\n79873 100000\n43999 65935\n64548 96793\n82118 100000\n79695 100000\n23857 35704\n81459 100000\n46322 69403\n89737 100000\n51158 76687\n30220 45201\n86605 100000\n24298 36368\n80972 100000\n57613 86352\n42766 64077\n83537 100000\n85651 100000\n56195 84226\n48717 73005\n50491 75683\n85423 100000\n89482 100000\n84228 100000\n2522 3777\n18320 27388\n82287 100000\n26091 39050\n35106 52521\n55250 82808\n98915 100000\n75710 100000\n29770 44527\n98052 100000\n3480 5169\n99685 100000\n78722 100000\n6787 10109\n8265 12301\n36616 54835\n58863 88237\n92441 100000\n5782 8608\n77834 100000\n75224 100000\n2911 4345\n98117 100000\n20394 30492\n88261 100000\n87843 100000\n19479 29128\n80918 100000\n94627 100000\n74330 100000\n61033 91527\n16858 25187\n3850 5719\n93745 100000\n68367 100000\n23846 35689\n61271 91896\n81532 100000\n297 436\n22676 33937\n75834 100000\n59494 89179\n91122 100000\n21425 32043\n88387 100000\n58353 87468\n96232 100000\n51515 77218\n96521 100000\n17415 26028\n4063 6032\n91898 100000\n33604 50263\n73711 100000\n93531 100000\n39218 58745\n24762 37068\n10098 15074\n26384 39501\n65500 98250\n90842 100000\n48750 73053\n65017 97496\n49356 73984\n69411 100000\n52870 79269\n17508 26167\n88185 100000\n55232 82779\n94029 100000\n47276 70858\n7217 10763\n2783 4149\n31093 46514\n32616 48784\n53929 80845\n61252 91864\n15075 22521\n85425 100000\n64395 96567\n31907 47745\n95569 100000\n53739 80564\n81731 100000\n99890 100000\n66449 99669\n80953 100000\n73657 100000\n53658 80439\n44517 66686\n61560 92333\n56630 84882\n82658 100000\n13039 19497\n64454 96657\n43158 64667\n69182 100000\n78408 100000\n85857 100000\n69533 100000\n91896 100000\n16604 24812\n47693 71478\n37617 56344\n67322 100000\n58700 87992\n12202 18254\n57272 85835\n4888 7268\n23408 35037\n45967 68863\n9389 14002\n12579 18806\n73967 100000\n50735 76052\n51508 77207\n59135 88632\n46368 69475\n38440 57582\n29098 43505\n96423 100000\n21315 31882\n37256 55795\n75957 100000\n49233 73795\n51714 77521\n42154 63167\n47389 71029\n35022 52398\n87800 100000\n75424 100000\n90622 100000\n20812 31123\n41812 62651\n13935 20826\n74334 100000\n62779 94151\n53188 79736\n38284 57338\n43650 65415\n21509 32170\n33165 49613\n76480 100000\n56621 84869\n51197 76749\n26845 40177\n13950 20848\n55505 83188\n84508 100000\n83568 100000\n10246 15287\n35276 52775\n25412 38035\n93829 100000\n85872 100000\n15633 23366\n30047 44941\n71301 100000\n96426 100000\n93107 100000\n61459 92182\n27191 40690\n23667 35423\n29023 43394\n45651 68390\n44229 66276\n90644 100000\n68714 100000\n4011 5958\n25288 37848\n83523 100000\n4626 6875\n26713 39988\n75279 100000\n47079 70561\n16712 24971\n73256 100000\n31438 47043\n4331 6440\n82086 100000\n80958 100000\n64253 96348\n89607 100000\n13551 20262\n73385 100000\n62508 93751\n63831 95724\n21382 31980\n49219 73775\n69031 100000\n57540 86239\n96479 100000\n10637 15868\n93024 100000\n65252 97859\n11406 17025\n18008 26918\n85100 100000\n71984 100000\n70720 100000\n11714 17518\n77312 100000\n92513 100000\n91019 100000\n68166 100000\n65812 98711\n60953 91409\n64432 96621\n63776 95640\n1917 2867\n68496 100000\n82600 100000\n36945 55325\n88919 100000\n35962 53830\n27051 40476\n87009 100000\n17903 26768\n75767 100000\n69516 100000\n11506 17191\n3356 4988\n52431 78593\n77903 100000\n27483 41115\n66638 99954\n79566 100000\n65831 98736\n88630 100000\n70375 100000\n27256 40784\n71201 100000\n97495 100000\n65493 98242\n96574 100000\n77169 100000\n15584 23295\n93311 100000\n47735 71541\n47097 70587\n83217 100000\n15553 23248\n29953 44803\n93857 100000\n91687 100000\n7542 11246\n63818 95705\n44973 67365\n90987 100000\n79924 100000\n1848 2762\n34790 52045\n90088 100000\n18944 28321\n60383 90545\n90608 100000\n60220 90295\n25742 38526\n98199 100000\n48957 73373\n50035 75012\n82716 100000\n39854 59702\n18112 27076\n26286 39349\n38764 58064\n86460 100000\n78979 100000\n21586 32289\n73591 100000\n64683 96996\n5080 7566\n33074 49477\n41021 61484\n83384 100000\n73134 100000\n72369 100000\n88572 100000\n81379 100000\n11103 16569\n9305 13874\n25951 38845\n88488 100000\n18487 27634\n56524 84728\n8957 13358\n46989 70422\n17720 26490\n5889 8774\n61173 91735\n12086 18086\n62506 93747\n62165 93248\n32970 49314\n18050 26982\n32191 48172\n81603 100000\n99 146\n3444 5115\n85510 100000\n66092 99138\n30246 45241\n51087 76579\n70276 100000\n47077 70558\n62171 93258\n51201 76755\n27438 41048\n22960 34377\n77217 100000\n55705 83475\n2413 3614\n65219 97808\n75083 100000\n88662 100000\n32400 48476\n21559 32251\n43384 65015\n6599 9829\n39321 58901\n23570 35279\n15808 23631\n5154 7673\n51378 77024\n34830 52103\n78248 100000\n90475 100000\n44207 66247\n63709 95532\n44344 66440\n99068 100000\n35580 53250\n53781 80625\n88122 100000\n7680 11453\n67317 100000\n83747 100000\n59085 88564\n90288 100000\n36085 54026\n36016 53912\n97216 100000\n88944 100000\n87200 100000\n16576 24771\n50727 76040\n44249 66302\n45447 68085\n5288 7874\n9599 14319\n87730 100000\n82957 100000\n40411 60539\n18550 27730\n83452 100000\n33071 49471\n35944 53804\n72320 100000\n60868 91279\n60426 90613\n27230 40747\n42334 63433\n72099 100000\n74512 100000\n30752 46006\n84947 100000\n77060 100000\n64657 96958\n43206 64733\n18615 27822\n65880 98810\n43599 65346\n48134 72150\n8408 12512\n146 213\n6839 10187\n28275 42292\n5181 7719\n21471 32114\n58070 87043\n68798 100000\n66869 100000\n39177 58681\n71425 100000\n73606 100000\n22604 33830\n56187 84212\n52204 78254\n46139 69131\n73254 100000\n13225 19778\n22780 34098\n43759 65579\n99174 100000\n41213 61772\n47546 71266\n37340 55928\n34150 51086\n93317 100000\n51420 77083\n52655 78934\n39180 58686\n38090 57051\n26776 40080\n41083 61576\n13150 19668\n14037 20977\n98667 100000\n14517 21686\n58585 87816\n22633 33876\n89959 100000\n33274 49770\n52189 78231\n47450 71120\n8415 12522\n64787 97152\n31421 47014\n7079 10552\n25860 38707\n36669 54916\n89975 100000\n26665 39921\n26734 40020\n18939 28313\n17558 26242\n91391 100000\n68750 100000\n99731 100000\n40119 60099\n22127 33111\n31937 47792\n35891 53725\n96625 100000\n49775 74618\n12276 18373\n88797 100000\n33578 50226\n57862 86728\n54787 82120\n96225 100000\n28143 42092\n5834 8688\n75727 100000\n66513 99764\n85447 100000\n74690 100000\n73655 100000\n76099 100000\n20885 31231\n85810 100000\n74243 100000\n59273 88847\n49997 74956\n7129 10630\n30282 45293\n87664 100000\n33300 49811\n41713 62501\n47070 70547\n65683 98519\n54583 81817\n24828 37168\n63292 94926\n66874 100000\n84818 100000\n94266 100000\n13550 20261\n68212 100000\n86374 100000\n77634 100000\n91496 100000\n87892 100000\n32985 49334\n50683 75968\n69057 100000\n13135 19645\n4779 7105\n18848 28180\n46756 70066\n3539 5260\n75813 100000\n72272 100000\n84374 100000\n4209 6261\n31264 46773\n78673 100000\n23921 35801\n820 1227\n47007 70451\n63204 94796\n48814 73155\n1893 2836\n82372 100000\n31170 46626\n26537 39723\n91007 100000\n56056 84009\n7715 11508\n80402 100000\n88343 100000\n47296 70890\n16127 24110\n38410 57536\n47926 71836\n63906 95844\n57068 85537\n46701 69985\n1046 1566\n99626 100000\n82193 100000\n25624 38350\n5763 8578\n36 52\n11063 16508\n46423 69565\n79702 100000\n25967 38867\n54553 81779\n21969 32869\n61461 92185\n15408 23020\n46230 69264\n45265 67813\n9738 14531\n77925 100000\n27496 41132\n59805 89661\n75550 100000\n40370 60479\n99800 100000\n80183 100000\n12727 19034\n90960 100000\n66483 99722\n14152 21146\n92640 100000\n34168 51114\n96497 100000\n87229 100000\n49453 74134\n22877 34250\n31061 46471\n18238 27260\n86571 100000\n69261 100000\n56141 84143\n91176 100000\n86496 100000\n33459 50045\n584 874\n14708 21973\n68376 100000\n34058 50943\n30465 45566\n4272 6352\n876 1314\n29834 44623\n1629 2422\n19502 29164\n93176 100000\n22474 33634\n78575 100000\n71385 100000\n53949 80877\n81469 100000\n37741 56527\n51857 77733\n93998 100000\n65818 98719\n28180 42145\n18902 28260\n30743 45995\n48256 72326\n37601 56320\n31173 46631\n22827 34171\n16176 24182\n76497 100000\n83410 100000\n85677 100000\n20062 29986\n22764 34070\n69320 100000\n834 1249\n78653 100000\n69223 100000\n25051 37498\n3366 5004\n42708 63989\n23461 35115\n75798 100000\n91797 100000\n23371 34982\n37561 56262\n41414 62064\n32136 48088\n13325 19928\n9812 14644\n10066 15027\n30343 45378\n48370 72492\n93757 100000\n32916 49235\n26598 39816\n68905 100000\n3037 4527\n88086 100000\n66226 99339\n88165 100000\n56467 84634\n72748 100000\n29807 44581\n10645 15878\n96568 100000\n87119 100000\n60843 91243\n15747 23539\n14852 22191\n93460 100000\n55078 82550\n19111 28579\n88168 100000\n88559 100000\n7462 11126\n26650 39896\n42767 64078\n76329 100000\n72709 100000\n47513 71214\n73735 100000\n61731 92598\n93902 100000\n9361 13960\n38819 58144\n16545 24732\n40055 60004\n74780 100000\n50462 75639\n34956 52295\n33189 49646\n49157 73680\n8462 12599\n32725 48941\n9165 13667\n39569 59280\n94706 100000\n49364 73995\n28220 42210\n7046 10503\n42222 63267\n3439 5108\n48013 71964\n8484 12637\n95686 100000\n4794 7127\n91125 100000\n90634 100000\n85159 100000\n13854 20706\n150 220\n57561 86268\n46766 70080\n47559 71286\n59550 89266\n7919 11794\n56336 84436\n43518 65220\n24325 36410\n96842 100000\n76105 100000\n63407 95090\n3581 5322\n26219 39248\n4566 6786\n8005 11916\n18346 27428\n93035 100000\n44763 67048\n75557 100000\n63812 95698\n82263 100000\n89918 100000\n78309 100000\n88133 100000\n90295 100000\n5595 8331\n103 151\n26531 39712\n36831 55165\n62291 93434\n65978 98964\n93655 100000\n89886 100000\n95925 100000\n30383 45443\n8648 12886\n12309 18415\n92950 100000\n53989 80934\n75435 100000\n42815 64149\n30557 45703\n11264 16817\n83588 100000\n73808 100000\n67075 100000\n66878 100000\n76584 100000\n57195 85718\n69782 100000\n61740 92614\n89413 100000\n31204 46679\n91837 100000\n35047 52436\n96726 100000\n94516 100000\n50108 75116\n97926 100000\n24099 36063\n69212 100000\n71858 100000\n39291 58855\n31758 47522\n85884 100000\n56853 85219\n21118 31579\n91816 100000\n22409 33538\n89582 100000\n21133 31604\n2542 3809\n82781 100000\n94598 100000\n57205 85735\n95049 100000\n99130 100000\n79819 100000\n88613 100000\n54985 82418\n39405 59036\n53114 79629\n63198 94786\n94939 100000\n87379 100000\n47424 71079\n95160 100000\n65560 98341\n66127 99189\n47859 71735\n23552 35253\n21648 32386\n49718 74531\n44462 66605\n49784 74632\n9359 13956\n87753 100000\n17199 25695\n29837 44627\n82128 100000\n77004 100000\n68159 100000\n48821 73165\n96688 100000\n27595 41278\n99567 100000\n37139 55619\n83246 100000\n92122 100000\n14112 21087\n56928 85333\n21972 32874\n95353 100000\n38631 57865\n86092 100000\n55776 83583\n83486 100000\n524 781\n54294 81389\n52753 79087\n32482 48598\n35832 53633\n60055 90042\n5166 7693\n37931 56808\n45996 68911\n65905 98846\n14557 21747\n54830 82187\n70680 100000\n76088 100000\n48864 73227\n62582 93856\n51278 76869\n50676 75957\n34738 51969\n99831 100000\n83960 100000\n3684 5478\n94405 100000\n47736 71543\n36170 54159\n60740 91091\n37729 56510\n58204 87244\n64279 96390\n98885 100000\n69836 100000\n45966 68861\n10982 16385\n14940 22329\n96830 100000\n81008 100000\n81775 100000\n76192 100000\n51606 77357\n47652 71415\n67759 100000\n66632 99945\n52267 78346\n9660 14409\n38009 56924\n1463 2188\n13344 19955\n3265 4866\n84354 100000\n57207 85738\n31992 47875\n6191 9235\n28755 42997\n50448 75619\n5556 8276\n47226 70787\n42100 63090\n15033 22463\n47510 71208\n29683 44394\n90104 100000\n64444 96642\n91893 100000\n14028 20965\n49471 74160\n69904 100000\n39895 59763\n23970 35872\n5094 7585\n41089 61583\n30284 45295\n41480 62164\n13998 20922\n28753 42995\n17917 26788\n82282 100000\n16916 25273\n57110 85598\n5696 8474\n44401 66518\n47303 70901\n48057 72033\n32537 48671\n40853 61232\n19264 28810\n20340 30406\n93637 100000\n7086 10564\n8042 11967\n46921 70319\n95085 100000\n19227 28750\n73326 100000\n47045 70507\n87413 100000\n17418 26033\n97381 100000\n99008 100000\n1022 1529\n54593 81833\n10092 15064\n74492 100000\n29829 44617\n80142 100000\n5213 7766\n29645 44333\n17569 26257\n98165 100000\n71346 100000\n59825 89693\n17429 26052\n96431 100000\n6204 9254\n48405 72547\n65372 98055\n88291 100000\n97141 100000\n24368 36481\n92119 100000\n29390 43940\n56800 85139\n12090 18092\n25567 38267\n57530 86226\n24159 36154\n91713 100000\n74762 100000\n47157 70681\n59598 89341\n95869 100000\n54585 81819\n92435 100000\n64327 96461\n65150 97705\n57287 85852\n72126 100000\n56007 83939\n10712 15980\n57413 86045\n21293 31849\n77868 100000\n16911 25265\n86319 100000\n98754 100000\n90054 100000\n79645 100000\n29257 43742\n59119 88612\n66586 99875\n88421 100000\n36560 54749\n65895 98829\n8772 13070\n65470 98206\n29832 44621\n7556 11265\n94431 100000\n18268 27305\n95881 100000\n57441 86090\n31549 47208\n89556 100000\n71774 100000\n89908 100000\n38922 58289\n73122 100000\n99697 100000\n37748 56536\n55100 82581\n21156 31639\n94953 100000\n55280 82852\n65962 98937\n82822 100000\n78866 100000\n45979 68884\n92873 100000\n55548 83250\n81241 100000\n41683 62457\n13701 20478\n38693 57956\n51143 76663\n21860 32709\n71475 100000\n34618 51793\n72782 100000\n54353 81476\n41448 62115\n72335 100000\n29971 44831\n321 473\n32685 48886\n91539 100000\n38329 57407\n515 768\n76711 100000\n90377 100000\n89015 100000\n97275 100000\n24473 36641\n21758 32544\n81823 100000\n86440 100000\n16663 24896\n22199 33214\n9151 13645\n646 969\n1532 2285\n60845 91246\n4988 7423\n28979 43321\n2430 3637\n58454 87620\n7186 10717\n53836 80710\n98845 100000\n63378 95049\n59709 89513\n14909 22280\n77844 100000\n13691 20462\n13238 19795\n17294 25839\n62425 93626\n25893 38751\n31059 46468\n88519 100000\n62830 94230\n21158 31642\n88905 100000\n87988 100000\n69517 100000\n20689 30938\n11268 16822\n47181 70717\n51382 77030\n31690 47416\n88741 100000\n34601 51767\n76815 100000\n96853 100000\n90970 100000\n9616 14343\n56352 84461\n95986 100000\n28438 42535\n31303 46833\n84991 100000\n90138 100000\n37159 55651\n40204 60227\n92995 100000\n19555 29245\n65051 97545\n85465 100000\n67694 100000\n54104 81102\n11675 17451\n75438 100000\n19852 29686\n1925 2879\n75240 100000\n50360 75492\n96083 100000\n77235 100000\n47505 71200\n30122 45056\n75908 100000\n95624 100000\n98686 100000\n18794 28094\n54171 81207\n78410 100000\n62561 93826\n60456 90654\n57384 86000\n2151 3220\n19968 29852\n70900 100000\n82050 100000\n69496 100000\n25113 37591\n67673 100000\n23512 35193\n40797 61145\n77486 100000\n18489 27637\n88111 100000\n53709 80518\n89492 100000\n88786 100000\n50466 75645\n18149 27130\n47757 71576\n37690 56452\n10652 15889\n69933 100000\n17128 25591\n6482 9661\n74225 100000\n81979 100000\n27169 40658\n87123 100000\n48988 73419\n15749 23543\n89109 100000\n70239 100000\n54950 82365\n65232 97827\n63788 95661\n29473 44064\n23687 35454\n82712 100000\n95641 100000\n69136 100000\n96740 100000\n17702 26463\n74804 100000\n34178 51127\n2098 3146\n65082 97594\n14119 21098\n79397 100000\n19951 29829\n75578 100000\n24006 35928\n22540 33734\n3949 5866\n65955 98925\n104 152\n60706 91042\n78601 100000\n79498 100000\n34955 52294\n79522 100000\n71808 100000\n42922 64321\n58294 87383\n90125 100000\n32004 47891\n73121 100000\n96371 100000\n79701 100000\n28061 41965\n14758 22047\n57773 86594\n79145 100000\n29224 43693\n88993 100000\n54480 81665\n9021 13455\n19762 29553\n51589 77333\n88503 100000\n33215 49682\n36234 54257\n19577 29282\n36190 54190\n37549 56243\n35332 52857\n6423 9572\n50452 75625\n29783 44548\n49750 74577\n10383 15499\n16338 24418\n53275 79867\n24167 36168\n27523 41172\n34325 51357\n38370 57474\n30495 45609\n80001 100000\n74148 100000\n83066 100000\n60234 90317\n61121 91655\n75151 100000\n91071 100000\n43964 65886\n64658 96959\n77228 100000\n20325 30385\n76626 100000\n93051 100000\n20603 30806\n60837 91236\n38140 57121\n51254 76834\n70905 100000\n61686 92530\n81898 100000\n2839 4235\n62703 94038\n27360 40933\n73014 100000\n3658 5437\n3555 5285\n3628 5391\n74476 100000\n71886 100000\n37489 56155\n54657 81920\n3760 5592\n48709 72993\n8054 11984\n58651 87919\n42952 64368\n46461 69623\n43977 65905\n27242 40766\n11273 16829\n67608 100000\n18305 27363\n90576 100000\n45694 68456\n71160 100000\n37516 56194\n43409 65058\n90222 100000\n67924 100000\n64322 96455\n54698 81985\n74832 100000\n35676 53391\n34985 52343\n34212 51179\n97407 100000\n80181 100000\n27569 41238\n8731 13010\n3903 5797\n8162 12148\n28233 42228\n12534 18739\n88251 100000\n69116 100000\n81788 100000\n65708 98557\n35141 52575\n85285 100000\n39750 59544\n7546 11252\n96741 100000\n18274 27315\n94445 100000\n86510 100000\n3834 5696\n14246 21284\n92056 100000\n627 938\n3947 5863\n81894 100000\n65129 97669\n65242 97844\n55915 83804\n32280 48307\n72450 100000\n30829 46127\n64451 96652\n48697 72973\n9706 14481\n32222 48218\n86456 100000\n60787 91161\n17248 25767\n35659 53363\n28075 41990\n85787 100000\n42728 64021\n2454 3673\n34900 52211\n86019 100000\n7876 11735\n93056 100000\n3286 4894\n36902 55264\n6590 9818\n50198 75245\n42583 63805\n87556 100000\n67165 100000\n83738 100000\n24569 36785\n50541 75761\n99584 100000\n68553 100000\n9645 14386\n59755 89581\n58178 87206\n83140 100000\n50658 75926\n71156 100000\n92319 100000\n5517 8219\n86348 100000\n57516 86203\n56660 84926\n23224 34763\n7638 11390\n55651 83398\n75562 100000\n53813 80674\n37915 56787\n51449 77121\n60181 90233\n41831 62683\n80807 100000\n89046 100000\n42300 63385\n65701 98548\n10779 16081\n47217 70773\n26750 40043\n93999 100000\n94021 100000\n86160 100000\n13184 19719\n49701 74505\n37776 56580\n76244 100000\n2990 4460\n64574 96830\n7744 11545\n66914 100000\n29962 44814\n57127 85619\n33276 49772\n85372 100000\n35604 53285\n41621 62368\n36098 54048\n21065 31497\n51794 77638\n69652 100000\n8889 13254\n42214 63255\n16144 24137\n92675 100000\n45782 68592\n78874 100000\n62465 93682\n15297 22854\n92834 100000\n42686 63957\n47790 71628\n1325 1984\n68357 100000\n4662 6933\n20528 30692\n43760 65581\n37222 55745\n85660 100000\n36980 55378\n67363 100000\n81513 100000\n49060 73531\n3345 4972\n45310 67883\n79015 100000\n10346 15440\n91094 100000\n70650 100000\n219 328\n94772 100000\n92868 100000\n34522 51652\n30134 45075\n57948 86862\n59732 89547\n1242 1858\n53376 80017\n25001 37423\n91527 100000\n86695 100000\n59877 89764\n49366 73998\n39184 58693\n27439 41049\n67372 100000\n6627 9869\n34186 51138\n13036 19493\n97484 100000\n82764 100000\n67582 100000\n31783 47560\n65427 98140\n74015 100000\n20255 30265\n56821 85169\n98010 100000\n54876 82253\n51997 77942\n50514 75718\n30681 45897\n82985 100000\n25576 38283\n86308 100000\n86974 100000\n59181 88705\n68604 100000\n24381 36499\n59528 89231\n34792 52049\n78214 100000\n96030 100000\n23291 34868\n89790 100000\n70831 100000\n97498 100000\n75650 100000\n59123 88616\n99293 100000\n55225 82767\n43963 65885\n88401 100000\n69804 100000\n29578 44226\n17960 26846\n28087 42009\n55148 82648\n13228 19781\n32667 48857\n6036 8995\n53977 80915\n78340 100000\n94420 100000\n39004 58416\n67456 100000\n86847 100000\n23314 34905\n98148 100000\n39640 59379\n74412 100000\n31134 46573\n91564 100000\n22622 33860\n69993 100000\n76002 100000\n31792 47573\n18788 28085\n83128 100000\n22101 33067\n98877 100000\n25313 37886\n27937 41779\n19995 29891\n18456 27588\n99346 100000\n75410 100000\n79933 100000\n28243 42242\n66531 99793\n31884 47711\n26309 39385\n30968 46336\n69514 100000\n23511 35191\n38274 57321\n77732 100000\n42130 63132\n99725 100000\n85896 100000\n75476 100000\n18227 27244\n67983 100000\n84095 100000\n32329 48375\n32096 48027\n43360 64975\n76994 100000\n27225 40742\n22939 34347\n46273 69326\n77940 100000\n40867 61251\n18579 27771\n95145 100000\n36010 53903\n41527 62235\n95657 100000\n13102 19594\n33750 50487\n24152 36145\n70516 100000\n17327 25891\n59362 88981\n35238 52722\n44906 67260\n28297 42323\n65049 97542\n87806 100000\n95748 100000\n97157 100000\n75261 100000\n66740 100000\n22247 33292\n81153 100000\n89143 100000\n52957 79406\n49894 74798\n64499 96717\n53327 79947\n57712 86507\n13099 19588\n93957 100000\n66710 100000\n40993 61440\n76052 100000\n66843 100000\n10314 15388\n65293 97926\n85835 100000\n34166 51112\n49704 74509\n14105 21076\n328 482\n36610 54826\n37405 56025\n92504 100000\n73113 100000\n52850 79238\n69815 100000\n28630 42806\n73380 100000\n31140 46581\n50606 75848\n24410 36546\n81570 100000\n83230 100000\n76509 100000\n56052 84003\n29462 44049\n53470 80153\n4556 6772\n27643 41350\n76311 100000\n27106 40565\n26667 39924\n28429 42522\n68972 100000\n51014 76472\n73774 100000\n33184 49638\n61581 92363\n81380 100000\n80223 100000\n27137 40615\n63614 95391\n20863 31199\n83325 100000\n36471 54610\n78385 100000\n88676 100000\n98091 100000\n31317 46854\n51749 77574\n56464 84628\n83529 100000\n89075 100000\n16824 25136\n68488 100000\n65405 98106\n8795 13108\n40329 60418\n76274 100000\n73927 100000\n66673 100000\n96417 100000\n3852 5721\n95157 100000\n78562 100000\n2999 4473\n41450 62117\n59324 88920\n39551 59255\n14637 21868\n1728 2576\n73112 100000\n78922 100000\n26961 40349\n62959 94421\n39828 59665\n30034 44922\n13974 20884\n39594 59316\n91188 100000\n80211 100000\n11519 17211\n51204 76760\n15656 23404\n72160 100000\n17512 26172\n96611 100000\n83969 100000\n72025 100000\n1530 2282\n88987 100000\n55292 82871\n91869 100000\n56014 83950\n16685 24929\n25552 38239\n62943 94399\n5502 8198\n56366 84482\n59910 89812\n9524 14207\n38035 56964\n20797 31103\n33216 49684\n94960 100000\n28923 43241\n20488 30631\n38362 57460\n95365 100000\n96101 100000\n56245 84299\n93104 100000\n87014 100000\n49907 74820\n60900 91326\n56389 84518\n77649 100000\n8412 12518\n74446 100000\n25433 38068\n36464 54602\n13936 20827\n20883 31228\n91895 100000\n30723 45963\n16010 23941\n3338 4961\n83719 100000\n12890 19276\n61027 91517\n19933 29803\n9429 14064\n1159 1731\n21859 32708\n40946 61371\n40804 61157\n17755 26538\n49795 74648\n27461 41081\n88942 100000\n115 169\n10477 15642\n70243 100000\n44698 66955\n95788 100000\n40016 59946\n76236 100000\n99572 100000\n49185 73726\n23527 35215\n79098 100000\n13323 19925\n52266 78344\n81657 100000\n9283 13842\n27690 41420\n82939 100000\n71494 100000\n20029 29937\n24207 36233\n66879 100000\n14994 22404\n32978 49326\n26575 39783\n9364 13965\n18130 27100\n94546 100000\n48533 72734\n61401 92096\n85846 100000\n54687 81968\n61201 91780\n74073 100000\n34671 51866\n82729 100000\n67780 100000\n47533 71246\n25725 38503\n87196 100000\n55368 82982\n86765 100000\n57666 86433\n19817 29633\n11114 16583\n97796 100000\n26602 39822\n10968 16367\n29242 43718\n14922 22300\n52661 78945\n33035 49414\n71561 100000\n49607 74368\n85671 100000\n38500 57670\n68187 100000\n66499 99745\n84321 100000\n95047 100000\n98585 100000\n45654 68395\n6961 10378\n16122 24102\n28982 43327\n7514 11205\n88558 100000\n77046 100000\n45155 67641\n1444 2161\n78989 100000\n68659 100000\n76745 100000\n26825 40151\n73997 100000\n4797 7131\n76727 100000\n27913 41745\n51295 76895\n12668 18945\n94754 100000\n32845 49126\n89788 100000\n51445 77117\n32298 48333\n92795 100000\n92927 100000\n41778 62600\n74246 100000\n38488 57656\n7888 11750\n63226 94828\n16345 24427\n81481 100000\n53841 80717\n18022 26938\n36796 55110\n81342 100000\n71212 100000\n94685 100000\n76294 100000\n40902 61306\n70293 100000\n68052 100000\n87039 100000\n55259 82819\n8690 12948\n28937 43261\n33143 49584\n53544 80261\n66666 99996\n71153 100000\n7452 11112\n77965 100000\n11104 16571\n511 763\n76988 100000\n35847 53656\n54492 81681\n57273 85836\n90199 100000\n58451 87616\n76082 100000\n73639 100000\n98530 100000\n73305 100000\n54536 81753\n55846 83697\n60803 91184\n7455 11117\n74847 100000\n73345 100000\n47717 71514\n7920 11796\n81088 100000\n73905 100000\n94668 100000\n99855 100000\n54602 81845\n50826 76188\n66146 99215\n17005 25407\n87821 100000\n61977 92967\n18004 26913\n38911 58275\n30410 45482\n38573 57780\n62758 94120\n81931 100000\n8353 12433\n90244 100000\n57193 85714\n61301 91941\n56977 85398\n74657 100000\n6853 10211\n59813 89676\n36088 54031\n41426 62081\n30 44\n76735 100000\n29122 43536\n56394 84526\n52713 79023\n27862 41672\n47562 71289\n97552 100000\n77894 100000\n14751 22038\n27776 41543\n21312 31876\n90192 100000\n70980 100000\n38885 58243\n16391 24498\n19007 28419\n54568 81797\n77160 100000\n20490 30634\n2371 3549\n70179 100000\n2882 4302\n82828 100000\n26672 39930\n48760 73069\n16885 25231\n45428 68057\n88443 100000\n7837 11675\n87655 100000\n2712 4049\n49315 73915\n55819 83652\n93797 100000\n82654 100000\n27485 41117\n20963 31345\n39568 59279\n48394 72529\n21575 32272\n29856 44655\n94924 100000\n33467 50059\n3861 5734\n16559 24748\n6372 9497\n63112 94661\n44957 67340\n63440 95142\n78879 100000\n24956 37350\n18067 27007\n22478 33641\n98034 100000\n25640 38374\n49017 73459\n31734 47488\n25033 37472\n38909 58273\n83160 100000\n65501 98252\n20717 30984\n79768 100000\n92869 100000\n32603 48763\n90840 100000\n10788 16096\n47148 70669\n42045 63008\n73850 100000\n50222 75281\n20842 31168\n93152 100000\n31774 47545\n47876 71761\n50698 75993\n63265 94886\n30660 45864\n36776 55079\n36491 54638\n70224 100000\n77923 100000\n3374 5015\n36961 55351\n59920 89829\n61159 91716\n11091 16549\n12434 18594\n86768 100000\n53375 80016\n13478 20154\n18584 27780\n79364 100000\n82195 100000\n20290 30328\n35457 53060\n9560 14266\n88782 100000\n67088 100000\n29144 43570\n87086 100000\n48685 72959\n40288 60355\n71442 100000\n20363 30443\n97000 100000\n16375 24473\n8592 12806\n82753 100000\n39526 59222\n96913 100000\n1296 1941\n57376 85988\n75206 100000\n85620 100000\n94262 100000\n78645 100000\n66232 99346\n49964 74905\n67185 100000\n60385 90549\n9513 14189\n54993 82429\n53547 80266\n76292 100000\n39457 59117\n11368 16969\n28827 43104\n76580 100000\n62458 93672\n52737 79062\n77297 100000\n85990 100000\n50406 75563\n4843 7201\n43109 64598\n54810 82156\n24790 37113\n80597 100000\n52568 78799\n61177 91742\n94530 100000\n57281 85845\n98399 100000\n48099 72096\n66395 99590\n91892 100000\n78700 100000\n23309 34898\n62700 94033\n84601 100000\n2557 3833\n62153 93230\n78166 100000\n64764 97115\n21963 32858\n75518 100000\n9728 14515\n21043 31466\n8456 12590\n14797 22107\n23584 35299\n1274 1908\n87757 100000\n85237 100000\n40350 60450\n25798 38615\n54352 81475\n13384 20010\n84994 100000\n50314 75421\n62684 94009\n72789 100000\n16812 25117\n51968 77900\n5030 7488\n16287 24347\n94694 100000\n50218 75273\n64870 97277\n55334 82932\n87289 100000\n19590 29301\n50588 75823\n29995 44865\n21303 31862\n59302 88892\n64153 96204\n46308 69383\n53955 80884\n83931 100000\n25949 38841\n41910 62802\n1133 1696\n95947 100000\n58060 87030\n47603 71348\n71315 100000\n13110 19605\n55 81\n44995 67399\n10263 15309\n15194 22698\n12139 18164\n34983 52340\n43833 65692\n19478 29126\n68463 100000\n20025 29931\n19613 29335\n53596 80346\n43708 65505\n70187 100000\n29449 44031\n47348 70967\n11029 16459\n41603 62342\n70664 100000\n76741 100000\n21691 32447\n72998 100000\n19170 28665\n23695 35467\n91920 100000\n97783 100000\n52027 77983\n18612 27816\n70537 100000\n52050 78018\n70211 100000\n8632 12860\n24485 36657\n16596 24801\n70978 100000\n75181 100000\n65845 98758\n59823 89689\n4477 6658\n20758 31047\n93668 100000\n25207 37732\n33520 50140\n26798 40113\n76456 100000\n42400 63536\n47287 70876\n11280 16841\n79744 100000\n64260 96360\n39086 58540\n86157 100000\n62448 93658\n71532 100000\n27248 40774\n56152 84160\n32257 48271\n90620 100000\n80599 100000\n36113 54071\n80933 100000\n37533 56221\n5710 8498\n72765 100000\n42498 63680\n85895 100000\n64497 96714\n96070 100000\n12259 18345\n73496 100000\n84313 100000\n8012 11926\n44744 67022\n83491 100000\n14262 21308\n28553 42693\n17568 26255\n49760 74592\n7035 10488\n21177 31668\n67164 100000\n97184 100000\n33996 50855\n9529 14214\n26017 38940\n94689 100000\n83365 100000\n40873 61260\n16221 24250\n58297 87388\n41338 61945\n94049 100000\n15980 23899\n28174 42137\n42944 64355\n35789 53565\n46182 69192\n45052 67475\n23259 34819\n15062 22503\n59218 88760\n69473 100000\n91448 100000\n63609 95384\n85310 100000\n36045 53956\n30388 45450\n12742 19056\n1594 2374\n80681 100000\n53768 80608\n92582 100000\n85854 100000\n71663 100000\n55614 83344\n31504 47140\n11221 16749\n62871 94291\n75978 100000\n80188 100000\n13773 20591\n82356 100000\n15977 23894\n64356 96505\n30924 46274\n7691 11470\n41067 61553\n77886 100000\n61432 92143\n47115 70616\n51118 76624\n67519 100000\n20013 29913\n13204 19748\n62449 93659\n49906 74819\n16246 24291\n28440 42539\n47995 71939\n25498 38165\n21893 32760\n54271 81356\n22389 33513\n16241 24284\n92265 100000\n55435 83084\n37395 56012\n31765 47532\n96870 100000\n57220 85756\n83190 100000\n16233 24270\n95537 100000\n20623 30839\n39662 59412\n4720 7014\n67384 100000\n16622 24838\n89552 100000\n16994 25394\n21276 31825\n78427 100000\n79550 100000\n97982 100000\n16795 25091\n37207 55722\n5384 8018\n97122 100000\n40353 60455\n18087 27037\n69167 100000\n80675 100000\n59969 89906\n90869 100000\n91800 100000\n53243 79823\n18641 27865\n36364 54454\n47379 71014\n79911 100000\n46170 69177\n29152 43584\n90720 100000\n66588 99878\n39441 59091\n89400 100000\n58566 87787\n23040 34494\n94065 100000\n9327 13905\n99257 100000\n40091 60055\n93234 100000\n85880 100000\n50811 76167\n59697 89494\n64192 96261\n68394 100000\n69010 100000\n4693 6972\n16556 24745\n68228 100000\n69299 100000\n48229 72284\n2497 3739\n19536 29216\n68408 100000\n52856 79248\n36051 53968\n24420 36560\n34685 51892\n20941 31313\n96042 100000\n41176 61720\n50256 75333\n40975 61413\n87185 100000\n96770 100000\n71878 100000\n56625 84875\n36124 54088\n55501 83182\n39161 58658\n58015 86960\n97947 100000\n91916 100000\n17844 26684\n57257 85812\n36694 54958\n42905 64290\n96948 100000\n6819 10159\n47161 70687\n14549 21733\n2552 3826\n26364 39471\n96624 100000\n14261 21306\n80192 100000\n74290 100000\n57372 85983\n64229 96315\n50475 75659\n98859 100000\n14067 21022\n8448 12577\n72851 100000\n26616 39848\n18350 27434\n40714 61016\n37325 55906\n7942 11826\n21975 32879\n30077 44986\n10190 15202\n75134 100000\n44632 66852\n13000 19437\n67141 100000\n56449 84606\n95438 100000\n7710 11501\n54689 81971\n9671 14424\n76941 100000\n7781 11594\n17667 26408\n82762 100000\n35535 53186\n39807 59631\n86631 100000\n68721 100000\n70897 100000\n16535 24715\n2968 4426\n40929 61344\n32176 48148\n24439 36587\n14864 22213\n46218 69245\n64746 97086\n70054 100000\n41542 62258\n83251 100000\n95317 100000\n67742 100000\n40908 61313\n31514 47154\n84010 100000\n65112 97642\n3344 4970\n67101 100000\n17249 25769\n85292 100000\n20752 31036\n62454 93668\n50864 76244\n54165 81199\n8386 12484\n52358 78477\n58541 87752\n19297 28857\n81891 100000\n52851 79239\n7255 10818\n40409 60536\n803 1201\n9425 14058\n27268 40801\n4777 7101\n42971 64394\n2708 4043\n63618 95397\n70426 100000\n59849 89726\n16459 24599\n41943 62852\n16132 24117\n69843 100000\n5524 8230\n13005 19444\n31573 47247\n33374 49921\n574 859\n2591 3879\n21708 32473\n69273 100000\n71125 100000\n79266 100000\n58797 88139\n79784 100000\n30002 44877\n87093 100000\n42396 63530\n4802 7141\n75866 100000\n42656 63913\n65302 97943\n79440 100000\n773 1156\n98624 100000\n59099 88581\n26401 39526\n72734 100000\n97904 100000\n67228 100000\n48504 72695\n49986 74939\n18571 27759\n85322 100000\n96458 100000\n2974 4435\n26087 39044\n65357 98032\n15388 22988\n67300 100000\n79324 100000\n19688 29441\n59300 88890\n557 836\n20609 30816\n97822 100000\n63001 94486\n96792 100000\n40466 60620\n47434 71095\n51835 77700\n42089 63074\n42132 63135\n39204 58725\n15720 23498\n2087 3131\n33324 49842\n50302 75402\n8337 12410\n47202 70752\n12015 17977\n44056 66021\n96446 100000\n45204 67720\n81880 100000\n86387 100000\n95566 100000\n63296 94932\n69225 100000\n99100 100000\n19371 28972\n39206 58728\n56934 85339\n65723 98577\n43297 64882\n60381 90541\n70520 100000\n53643 80420\n99272 100000\n75971 100000\n17300 25848\n98368 100000\n52067 78045\n72941 100000\n64930 97367\n859 1286\n69540 100000\n81173 100000\n28767 43015\n93862 100000\n55724 83504\n47234 70799\n37409 56030\n42021 62972\n17837 26673\n71577 100000\n10993 16404\n21105 31561\n13899 20775\n3091 4606\n87520 100000\n93456 100000\n91230 100000\n26425 39560\n49398 74048\n5443 8111\n46648 69901\n31964 47832\n66536 99802\n66617 99924\n27380 40966\n89539 100000\n19800 29609\n33413 49975\n9466 14119\n35000 52366\n26801 40118\n88326 100000\n6572 9793\n94270 100000\n48333 72437\n12637 18898\n78854 100000\n71472 100000\n97378 100000\n55162 82670\n94409 100000\n23223 34761\n90767 100000\n52258 78332\n23878 35740\n45314 67888\n63483 95204\n29175 43617\n41684 62459\n24935 37319\n73329 100000\n86689 100000\n94766 100000\n50982 76427\n51423 77087\n60904 91333\n89694 100000\n35085 52491\n6924 10322\n67961 100000\n7352 10963\n5848 8710\n32300 48336\n53614 80372\n44830 67141\n89394 100000\n23790 35601\n31777 47550\n45902 68766\n82371 100000\n46138 69129\n74103 100000\n69609 100000\n38648 57889\n97420 100000\n97440 100000\n39772 59576\n70724 100000\n81913 100000\n78749 100000\n73858 100000\n13579 20307\n12542 18751\n66379 99568\n39968 59872\n61114 91646\n35573 53239\n35075 52474\n98791 100000\n35954 53818\n63058 94573\n63158 94725\n17830 26662\n66423 99633\n77945 100000\n68695 100000\n56081 84043\n5675 8445\n29905 44729\n42415 63559\n54538 81755\n9205 13721\n233 346\n38770 58072\n22316 33396\n44276 66337\n82248 100000\n64976 97434\n53346 79974\n313 462\n61258 91874\n54562 81788\n18443 27568\n35946 53807\n2118 3175\n34647 51832\n97834 100000\n97041 100000\n76065 100000\n47709 71500\n21079 31521\n965 1444\n12214 18270\n78372 100000\n79373 100000\n27658 41369\n80059 100000\n84135 100000\n64978 97438\n68171 100000\n38495 57664\n91396 100000\n3046 4539\n57016 85456\n2940 4391\n10589 15805\n71873 100000\n11873 17762\n61943 92916\n90398 100000\n68556 100000\n58240 87296\n18679 27926\n4393 6532\n52240 78307\n50918 76327\n16266 24319\n52410 78561\n80184 100000\n8031 11953\n4453 6623\n67049 100000\n69166 100000\n61060 91568\n95978 100000\n8095 12046\n56520 84722\n90496 100000\n31976 47852\n51400 77054\n1049 1570\n53741 80567\n6236 9300\n75070 100000\n61656 92480\n52714 79025\n60301 90421\n26627 39862\n89437 100000\n53775 80616\n28890 43194\n90995 100000\n70865 100000\n14168 21172\n66729 100000\n80724 100000\n55155 82658\n16742 25015\n82491 100000\n76437 100000\n23613 35341\n57554 86259\n8778 13079\n47671 71445\n81073 100000\n97147 100000\n41636 62391\n51964 77894\n3688 5483\n49455 74137\n617 921\n48902 73290\n82582 100000\n57455 86111\n28435 42529\n81017 100000\n50564 75792\n20399 30501\n37320 55898\n82290 100000\n78800 100000\n22216 33240\n67403 100000\n37684 56444\n95465 100000\n90467 100000\n24927 37309\n61894 92843\n8413 12519\n92744 100000\n25518 38193\n40073 60028\n89708 100000\n47483 71168\n91741 100000\n63206 94800\n62123 93183\n57722 86523\n78655 100000\n46808 70146\n26621 39854\n13123 19625\n39267 58818\n92870 100000\n18175 27168\n58552 87766\n78432 100000\n18209 27216\n35107 52523\n99065 100000\n90926 100000\n5014 7462\n24608 36844\n39523 59219\n83682 100000\n78847 100000\n94637 100000\n4499 6693\n5130 7638\n62804 94192\n31834 47639\n91187 100000\n19166 28658\n23839 35678\n38731 58016\n30798 46079\n5164 7690\n42459 63627\n28868 43164\n30962 46329\n4714 7005\n25460 38109\n86732 100000\n5427 8088\n98327 100000\n89316 100000\n36420 54534\n68343 100000\n67560 100000\n88247 100000\n18668 27908\n89123 100000\n73530 100000\n66784 100000\n68098 100000\n45938 68820\n98326 100000\n59934 89851\n47152 70674\n43845 65710\n72328 100000\n89952 100000\n21128 31595\n15349 22932\n13169 19697\n46176 69185\n2389 3576\n68062 100000\n63843 95743\n15964 23875\n11770 17601\n77804 100000\n90503 100000\n94263 100000\n10009 14943\n52959 79410\n19046 28476\n55992 83917\n61597 92388\n96675 100000\n35358 52900\n76187 100000\n5345 7960\n91715 100000\n29873 44680\n64838 97233\n97358 100000\n56667 84936\n74491 100000\n10228 15261\n52394 78532\n68761 100000\n6589 9816\n17801 26614\n10302 15370\n37073 55520\n30670 45878\n73137 100000\n6265 9344\n80205 100000\n66956 100000\n6304 9401\n23535 35226\n48775 73094\n91906 100000\n89509 100000\n35195 52656\n85664 100000\n78540 100000\n58735 88042\n66980 100000\n28098 42025\n22042 32978\n84965 100000\n83184 100000\n78623 100000\n5459 8135\n64936 97376\n90406 100000\n2741 4087\n92830 100000\n20220 30214\n9215 13739\n23456 35107\n35471 53081\n11880 17773\n73024 100000\n79207 100000\n57140 85636\n17913 26783\n45339 67927\n22779 34097\n53211 79771\n52869 79267\n74745 100000\n25724 38502\n73118 100000\n81625 100000\n73520 100000\n70750 100000\n22945 34356\n38737 58026\n49430 74099\n90989 100000\n15498 23161\n65897 98833\n31105 46534\n32304 48343\n78260 100000\n50996 76446\n49976 74924\n31242 46737\n56513 84710\n63166 94739\n99633 100000\n1797 2686\n39728 59511\n26464 39619\n72514 100000\n43891 65781\n78434 100000\n34114 51035\n42551 63761\n63016 94508\n64529 96765\n29942 44786\n56321 84412\n10225 15257\n48187 72227\n97867 100000\n46665 69928\n46475 69642\n47493 71183\n94928 100000\n73064 100000\n25604 38323\n1173 1750\n4022 5974\n24932 37314\n54861 82232\n94959 100000\n33372 49918\n5988 8918\n75682 100000\n41009 61464\n81520 100000\n68165 100000\n68189 100000\n48628 72876\n90491 100000\n53187 79735\n71398 100000\n15439 23074\n25797 38614\n81340 100000\n34988 52347\n33525 50146\n69683 100000\n96111 100000\n38257 57296\n78893 100000\n5851 8713\n11364 16964\n99056 100000\n58507 87703\n42719 64008\n63209 94803\n47727 71527\n56968 85387\n84289 100000\n94648 100000\n12936 19343\n98685 100000\n71100 100000\n55584 83304\n9320 13896\n69914 100000\n169 250\n63951 95910\n14133 21119\n53678 80470\n72116 100000\n36612 54828\n99224 100000\n27413 41014\n45212 67732\n95284 100000\n3218 4795\n55102 82584\n98411 100000\n33684 50386\n85613 100000\n91495 100000\n2191 3281\n5056 7533\n71063 100000\n59182 88707\n77755 100000\n26283 39344\n82919 100000\n88855 100000\n61057 91562\n60370 90525\n39430 59075\n98195 100000\n30886 46218\n61922 92882\n68534 100000\n82987 100000\n88096 100000\n29323 43838\n59816 89682\n36489 54636\n72391 100000\n53906 80809\n58258 87326\n97960 100000\n59093 88572\n84428 100000\n85294 100000\n42053 63018\n27647 41354\n75462 100000\n42387 63517\n51082 76573\n83045 100000\n82458 100000\n96748 100000\n96161 100000\n13824 20665\n68445 100000\n88802 100000\n91005 100000\n99455 100000\n34624 51799\n56150 84157\n53338 79961\n42044 63007\n1787 2670\n12284 18385\n23043 34497\n50584 75817\n29077 43475\n32437 48531\n96529 100000\n17540 26216\n78083 100000\n81584 100000\n90407 100000\n79148 100000\n21092 31542\n97894 100000\n4585 6818\n98202 100000\n41293 61879\n26163 39166\n7031 10482\n7521 11215\n93601 100000\n58608 87851\n43617 65370\n54722 82023\n76341 100000\n73297 100000\n128 185\n38161 57153\n49007 73444\n17385 25981\n19274 28823\n41921 62819\n41638 62393\n48624 72871\n82385 100000\n91032 100000\n75876 100000\n52579 78815\n20956 31335\n89190 100000\n36206 54215\n4045 6009\n765 1145\n9479 14136\n85456 100000\n68492 100000\n43011 64455\n22637 33883\n76778 100000\n93391 100000\n89976 100000\n29131 43552\n8832 13167\n18502 27656\n44435 66569\n51157 76686\n5777 8599\n32763 49001\n27143 40623\n50576 75806\n21189 31687\n6617 9855\n55068 82536\n31226 46710\n8733 13013\n53085 79585\n16214 24241\n48294 72379\n9829 14673\n17405 26014\n67445 100000\n77510 100000\n60736 91085\n86794 100000\n61624 92431\n71323 100000\n94765 100000\n23486 35155\n75021 100000\n47390 71030\n65421 98132\n21298 31856\n70146 100000\n81827 100000\n54852 82218\n23776 35578\n49153 73675\n5776 8597\n61537 92298\n16608 24819\n15793 23609\n6025 8976\n2691 4017\n35130 52559\n62901 94334\n80763 100000\n53075 79574\n53043 79532\n54349 81469\n72527 100000\n3331 4952\n30509 45629\n16378 24477\n17746 26528\n26426 39561\n11590 17320\n85475 100000\n26727 40009\n33547 50178\n44544 66727\n83748 100000\n83656 100000\n89199 100000\n90284 100000\n38579 57790\n98786 100000\n11274 16830\n77738 100000\n42910 64300\n97428 100000\n79547 100000\n79847 100000\n14652 21892\n90369 100000\n8019 11936\n7504 11190\n91015 100000\n94523 100000\n82972 100000\n85499 100000\n59002 88441\n12449 18613\n41722 62517\n54337 81450\n76364 100000\n88244 100000\n77696 100000\n45439 68072\n30039 44929\n62238 93359\n82397 100000\n12196 18244\n40117 60096\n81902 100000\n64388 96555\n67195 100000\n4058 6026\n74088 100000\n83944 100000\n58127 87129\n75702 100000\n40152 60147\n93725 100000\n51134 76650\n44066 66037\n18799 28103\n67219 100000\n11676 17453\n52393 78530\n14674 21922\n4296 6391\n16288 24348\n97995 100000\n67934 100000\n15821 23655\n63838 95736\n52898 79314\n90711 100000\n20618 30831\n52181 78218\n85329 100000\n97859 100000\n84376 100000\n17820 26645\n45486 68144\n39468 59133\n34706 51925\n26704 39974\n18943 28320\n23679 35443\n85198 100000\n42091 63078\n35003 52371\n3519 5227\n90854 100000\n29385 43933\n37059 55496\n83791 100000\n11289 16853\n45861 68706\n10998 16411\n85297 100000\n56440 84592\n22344 33443\n33904 50717\n76669 100000\n55476 83146\n34806 52067\n76117 100000\n19446 29077\n15437 23071\n375 549\n85436 100000\n81499 100000\n60344 90488\n92559 100000\n5891 8776\n60392 90559\n41449 62116\n94310 100000\n68009 100000\n8225 12243\n98798 100000\n17883 26745\n44697 66953\n53582 80325\n91938 100000\n89025 100000\n37553 56249\n22723 34009\n63600 95372\n79876 100000\n15763 23566\n81872 100000\n75761 100000\n50938 76357\n57465 86127\n80317 100000\n12763 19088\n64946 97391\n29762 44514\n86720 100000\n8115 12076\n38785 58094\n11401 17016\n97945 100000\n32519 48649\n48989 73421\n64361 96514\n19901 29753\n50414 75574\n51214 76773\n18313 27376\n11068 16516\n17721 26491\n31931 47781\n18201 27205\n15368 22959\n55668 83421\n51963 77892\n5029 7486\n46882 70261\n82302 100000\n93592 100000\n25488 38149\n34543 51683\n20396 30496\n51237 76810\n69000 100000\n2159 3233\n29527 44149\n78599 100000\n85353 100000\n3589 5334\n63832 95726\n33984 50836\n68521 100000\n94264 100000\n5869 8742\n11128 16603\n69456 100000\n66613 99919\n90198 100000\n21606 32316\n66749 100000\n21579 32278\n29961 44813\n8459 12595\n99568 100000\n37544 56237\n2027 3036\n74658 100000\n12290 18393\n32387 48457\n46520 69708\n48787 73114\n96026 100000\n54983 82414\n74406 100000\n89221 100000\n2308 3457\n42117 63114\n58031 86982\n44269 66330\n41295 61882\n83267 100000\n25593 38306\n30456 45552\n67282 100000\n96999 100000\n50560 75786\n86434 100000\n89718 100000\n59659 89437\n94214 100000\n2926 4369\n64710 97033\n69242 100000\n52226 78285\n98560 100000\n65043 97536\n44442 66580\n76528 100000\n96558 100000\n95973 100000\n29711 44438\n41195 61745\n42189 63220\n25577 38285\n48664 72930\n31453 47064\n97322 100000\n44622 66838\n99193 100000\n55094 82573\n73577 100000\n23175 34687\n1879 2813\n57845 86700\n92505 100000\n84113 100000\n11805 17651\n23038 34491\n44019 65965\n87907 100000\n31527 47176\n12103 18112\n80893 100000\n53505 80206\n22008 32929\n1324 1983\n32569 48714\n22123 33104\n67661 100000\n68263 100000\n31899 47733\n97607 100000\n80984 100000\n49395 74043\n88948 100000\n48201 72243\n99157 100000\n43471 65152\n8266 12302\n61575 92353\n96889 100000\n35802 53587\n63689 95501\n52300 78394\n7485 11161\n2634 3943\n93647 100000\n15327 22898\n51486 77176\n61730 92597\n69414 100000\n85821 100000\n63645 95434\n26325 39411\n61311 91958\n13710 20491\n14051 20997\n2171 3252\n96235 100000\n52741 79068\n83936 100000\n71573 100000\n54361 81489\n8166 12154\n79381 100000\n96754 100000\n83605 100000\n30151 45096\n66576 99861\n42425 63574\n58001 86938\n37616 56343\n87766 100000\n78072 100000\n78602 100000\n66104 99155\n11298 16865\n76290 100000\n28574 42721\n28459 42566\n42461 63629\n6393 9529\n520 775\n89647 100000\n46595 69820\n59666 89446\n91885 100000\n32629 48803\n96539 100000\n68339 100000\n28673 42873\n41712 62500\n92552 100000\n35151 52588\n54896 82280\n44072 66045\n52294 78383\n7826 11658\n35760 53520\n75852 100000\n55764 83565\n33015 49384\n26677 39937\n49173 73707\n41728 62524\n34697 51910\n42715 64002\n44824 67133\n13402 20037\n78770 100000\n19770 29566\n54113 81118\n61773 92659\n49419 74080\n15629 23360\n91229 100000\n30107 45032\n51194 76745\n45511 68179\n51431 77097\n14756 22044\n26312 39389\n83278 100000\n3449 5121\n42565 63781\n34731 51959\n62962 94427\n42505 63690\n91033 100000\n40815 61175\n18849 28182\n70159 100000\n87042 100000\n8475 12622\n54703 81993\n25298 37865\n5336 7945\n20525 30688\n16940 25313\n77000 100000\n16311 24380\n80449 100000\n253 374\n5750 8558\n83479 100000\n20668 30908\n34022 50895\n97130 100000\n2395 3587\n64997 97466\n75437 100000\n83993 100000\n9344 13932\n37161 55655\n30928 46279\n43947 65863\n47678 71456\n42535 63736\n80372 100000\n65933 98890\n71003 100000\n90804 100000\n81374 100000\n36321 54385\n70046 100000\n13612 20351\n7764 11573\n81049 100000\n48535 72737\n895 1339\n62509 93753\n36112 54070\n7323 10922\n6413 9559\n68390 100000\n22415 33548\n67995 100000\n68411 100000\n71126 100000\n13661 20416\n33575 50222\n27335 40899\n69379 100000\n18031 26951\n8394 12494\n16035 23973\n19037 28463\n82326 100000\n8726 13002\n55046 82504\n3248 4840\n64674 96982\n8998 13420\n52671 78962\n11074 16524\n45802 68619\n73742 100000\n7197 10731\n30277 45286\n94416 100000\n40059 60008\n33344 49874\n92198 100000\n25896 38757\n11665 17438\n40453 60603\n37041 55473\n11156 16646\n38692 57954\n8088 12036\n33458 50043\n32251 48262\n31040 46436\n16206 24229\n98367 100000\n13045 19508\n69917 100000\n14072 21029\n30786 46058\n72036 100000\n49409 74065\n96862 100000\n28162 42122\n35632 53326\n62655 93968\n80838 100000\n16875 25212\n45384 67992\n54448 81615\n80557 100000\n31511 47151\n56554 84772\n60078 90077\n87777 100000\n3322 4941\n23141 34637\n41026 61492\n88806 100000\n57896 86781\n81098 100000\n48681 72953\n52858 79252\n11472 17134\n95554 100000\n63395 95073\n98945 100000\n65317 97968\n97153 100000\n80582 100000\n47156 70680\n49646 74424\n64536 96777\n27269 40802\n54499 81693\n38219 57238\n58037 86993\n5850 8712\n78824 100000\n19720 29486\n12432 18591\n38101 57067\n12617 18866\n47830 71691\n39085 58539\n82619 100000\n79433 100000\n60470 90678\n94697 100000\n74520 100000\n25664 38412\n84729 100000\n49411 74068\n80618 100000\n56967 85385\n50856 76234\n80846 100000\n50593 75829\n40559 60773\n82209 100000\n16919 25278\n74654 100000\n49100 73592\n32762 49000\n68565 100000\n10492 15662\n6544 9753\n63749 95597\n15710 23482\n17083 25524\n43382 65011\n87004 100000\n10340 15431\n50436 75602\n54732 82040\n72565 100000\n96801 100000\n3954 5874\n48461 72629\n9767 14573\n18420 27532\n71934 100000\n57603 86334\n44867 67199\n2764 4118\n35068 52465\n53669 80456\n81034 100000\n89498 100000\n47186 70727\n94614 100000\n40314 60394\n81292 100000\n56791 85124\n51660 77437\n23627 35361\n98955 100000\n92312 100000\n57616 86357\n59272 88845\n49318 73921\n15546 23239\n44771 67059\n56238 84290\n54288 81381\n76617 100000\n95909 100000\n44666 66906\n46700 69983\n66482 99720\n19247 28784\n12423 18580\n8708 12974\n30192 45161\n3962 5884\n41368 61993\n75305 100000\n24516 36708\n17648 26376\n89355 100000\n36031 53934\n52405 78551\n9662 14412\n65023 97506\n1348 2015\n63490 95213\n22041 32977\n8032 11954\n81472 100000\n26909 40273\n91354 100000\n49588 74339\n68490 100000\n22729 34019\n9485 14145\n96919 100000\n32572 48720\n26196 39212\n86361 100000\n57301 85871\n39892 59758\n46482 69654\n14373 21470\n96896 100000\n57302 85873\n15247 22783\n63481 95201\n41246 61815\n18287 27334\n57191 85712\n90554 100000\n9 14\n58945 88355\n73476 100000\n34605 51773\n51604 77354\n76214 100000\n22714 33996\n67292 100000\n3973 5902\n16360 24452\n81718 100000\n16514 24683\n94109 100000\n87973 100000\n65016 97495\n21027 31440\n24850 37198\n94235 100000\n31235 46727\n70285 100000\n9938 14835\n53371 80011\n85560 100000\n83974 100000\n92347 100000\n16013 23944\n40982 61425\n90290 100000\n50287 75381\n35098 52508\n94863 100000\n75317 100000\n63004 94490\n68909 100000\n137 200\n3499 5200\n42581 63802\n47916 71822\n95004 100000\n28145 42095\n36063 53988\n70703 100000\n66548 99820\n11390 17000\n10403 15533\n37174 55675\n8647 12884\n67344 100000\n63672 95476\n44961 67347\n51096 76592\n29218 43685\n62075 93115\n92162 100000\n54393 81536\n51735 77552\n82918 100000\n4366 6493\n46713 70003\n40782 61122\n34606 51775\n52989 79455\n71036 100000\n26332 39421\n6648 9898\n5386 8021\n42047 63010\n47535 71249\n1742 2596\n18621 27830\n52219 78275\n85441 100000\n52072 78052\n76749 100000\n38240 57269\n63884 95807\n43313 64906\n47359 70987\n19909 29765\n60829 91226\n77879 100000\n53650 80428\n98564 100000\n66168 99250\n28766 43014\n21823 32647\n61206 91787\n56894 85282\n57010 85448\n57025 85472\n42898 64277\n76972 100000\n82624 100000\n39021 58440\n2269 3393\n45051 67474\n58783 88115\n39099 58561\n13600 20333\n67033 100000\n24678 36944\n83482 100000\n15267 22810\n64249 96342\n48269 72346\n34653 51840\n59683 89472\n34433 51523\n2244 3355\n19143 28623\n56247 84301\n89136 100000\n96630 100000\n34769 52013\n57144 85644\n65475 98215\n89540 100000\n36179 54174\n76482 100000\n3027 4514\n93636 100000\n28650 42837\n77137 100000\n63106 94651\n32502 48626\n15422 23043\n18929 28299\n14302 21367\n42423 63571\n64351 96498\n55811 83640\n4713 7004\n94184 100000\n52389 78525\n7705 11494\n25841 38678\n10607 15829\n88624 100000\n54887 82266\n6972 10394\n56659 84924\n58798 88141\n46799 70131\n590 884\n15203 22712\n4306 6404\n60723 91067\n43118 64612\n49632 74404\n20814 31125\n58115 87110\n75146 100000\n62307 93457\n78537 100000\n56766 85085\n24952 37344\n3308 4923\n19215 28729\n45887 68748\n57474 86141\n73787 100000\n43582 65317\n66208 99310\n14379 21478\n37001 55410\n16503 24667\n48322 72421\n6412 9558\n69078 100000\n25440 38078\n17821 26646\n95961 100000\n458 683\n63546 95297\n42150 63163\n88318 100000\n8029 11950\n54274 81360\n89882 100000\n65643 98460\n59495 89180\n12615 18862\n7373 10996\n43876 65756\n96796 100000\n64743 97083\n73720 100000\n9793 14612\n70931 100000\n81512 100000\n61373 92057\n41556 62276\n96034 100000\n8749 13033\n31924 47771\n23882 35745\n67192 100000\n44924 67287\n14739 22022\n35145 52580\n22812 34147\n69640 100000\n57781 86606\n64034 96029\n18000 26907\n20086 30022\n97155 100000\n26580 39790\n44272 66333\n79065 100000\n78417 100000\n3654 5432\n98318 100000\n56661 84927\n41491 62178\n34659 51848\n15698 23465\n53474 80159\n61064 91574\n20507 30662\n74301 100000\n3983 5914\n90878 100000\n95446 100000\n66269 99399\n55032 82485\n74173 100000\n92362 100000\n32172 48142\n73207 100000\n76719 100000\n95674 100000\n47174 70706\n52501 78700\n35695 53419\n37247 55783\n94591 100000\n15271 22816\n78828 100000\n82644 100000\n35392 52953\n2157 3230\n49932 74856\n4223 6284\n85947 100000\n13446 20106\n15628 23359\n59839 89712\n92721 100000\n31359 46922\n40736 61050\n83095 100000\n63221 94820\n14012 20941\n57909 86802\n64927 97363\n85649 100000\n86863 100000\n51256 76837\n79337 100000\n55730 83514\n4898 7282\n94937 100000\n61144 91694\n63569 95327\n98949 100000\n60854 91259\n82834 100000\n81144 100000\n78855 100000\n13940 20832\n9119 13597\n35437 53024\n73547 100000\n3553 5282\n18240 27263\n10743 16026\n25941 38827\n32511 48637\n8959 13362\n14820 22142\n22377 33495\n59415 89058\n80942 100000\n56316 84406\n80492 100000\n52867 79265\n29407 43966\n3619 5375\n94622 100000\n52123 78124\n51823 77682\n15717 23494\n69081 100000\n74234 100000\n42568 63784\n80069 100000\n90728 100000\n11309 16882\n52211 78264\n11497 17175\n60499 90722\n9879 14746\n14944 22334\n29870 44675\n23307 34894\n64934 97373\n97113 100000\n29135 43558\n86043 100000\n89962 100000\n67763 100000\n9605 14330\n30624 45811\n61088 91612\n35952 53815\n90415 100000\n86709 100000\n26218 39246\n77540 100000\n20811 31122\n18141 27118\n8774 13072\n9369 13972\n61352 92024\n33837 50613\n18222 27236\n62920 94367\n20801 31107\n71186 100000\n71839 100000\n35046 52435\n22742 34038\n76039 100000\n8196 12198\n41018 61478\n60120 90143\n41334 61938\n86755 100000\n34716 51936\n28155 42112\n29213 43675\n68592 100000\n39837 59679\n16568 24760\n60600 90874\n90546 100000\n76957 100000\n60556 90810\n64541 96784\n44844 67163\n21109 31566\n56645 84901\n18337 27415\n78590 100000\n5394 8036\n21084 31530\n32460 48566\n73041 100000\n91592 100000\n5719 8511\n28844 43125\n98495 100000\n51300 76902\n46248 69290\n40051 59998\n64057 96063\n39628 59364\n9157 13654\n84335 100000\n2700 4031\n1075 1611\n44297 66368\n54475 81658\n1451 2172\n48195 72236\n15538 23226\n55923 83818\n93086 100000\n74295 100000\n36480 54623\n21395 31998\n51264 76849\n46209 69230\n32237 48239\n31703 47439\n52244 78312\n34112 51031\n77799 100000\n8699 12959\n33930 50758\n22059 33003\n37973 56867\n38557 57757\n40580 60807\n20922 31285\n74064 100000\n79262 100000\n36903 55265\n98441 100000\n26506 39677\n43455 65128\n50433 75598\n47931 71845\n22659 33913\n18051 26983\n70422 100000\n15809 23633\n67764 100000\n94091 100000\n59395 89027\n65691 98533\n55880 83748\n62806 94195\n68734 100000\n80702 100000\n80286 100000\n95194 100000\n13046 19509\n41257 61830\n40428 60566\n34931 52259\n50241 75310\n4730 7030\n54010 80962\n1185 1771\n62209 93312\n45118 67587\n21495 32149\n7973 11871\n69490 100000\n41352 61966\n97148 100000\n93585 100000\n29104 43513\n14380 21479\n35694 53417\n70653 100000\n48385 72514\n41227 61790\n91560 100000\n22020 32946\n7841 11683\n82581 100000\n56715 85010\n19521 29194\n65300 97939\n15798 23617\n61141 91689\n2162 3237\n85021 100000\n87144 100000\n35579 53248\n93331 100000\n11687 17471\n39682 59442\n93535 100000\n69093 100000\n98567 100000\n5769 8586\n29485 44083\n34610 51780\n62620 93915\n42269 63340\n75400 100000\n27488 41121\n89747 100000\n83287 100000\n34241 51227\n89351 100000\n61435 92147\n75086 100000\n5921 8822\n41919 62816\n61199 91777\n20328 30389\n68650 100000\n52763 79102\n96571 100000\n55238 82789\n37823 56642\n6825 10169\n82751 100000\n27818 41608\n68733 100000\n46743 70048\n5616 8362\n59384 89008\n88862 100000\n63814 95700\n64567 96821\n97405 100000\n84506 100000\n51927 77837\n80427 100000\n35126 52553\n37746 56533\n78494 100000\n65225 97818\n46568 69778\n97563 100000\n93859 100000\n72046 100000\n99151 100000\n78898 100000\n58481 87661\n68109 100000\n90692 100000\n20224 30220\n87175 100000\n3126 4657\n90505 100000\n28049 41949\n52573 78806\n9593 14312\n26192 39206\n85404 100000\n12769 19097\n32858 49145\n15445 23081\n48865 73229\n53384 80028\n35820 53615\n72349 100000\n41326 61927\n94115 100000\n49695 74497\n22350 33452\n21839 32674\n90359 100000\n79071 100000\n2012 3014\n3644 5419\n53437 80105\n66831 100000\n44896 67244\n4072 6045\n96639 100000\n92412 100000\n68590 100000\n29606 44273\n31965 47834\n74697 100000\n99540 100000\n99921 100000\n91171 100000\n61785 92674\n59668 89449\n21828 32655\n79612 100000\n42187 63218\n82138 100000\n60885 91305\n43375 65000\n46828 70178\n45453 68093\n15423 23045\n14862 22209\n50866 76247\n84230 100000\n60058 90048\n11011 16434\n82077 100000\n68912 100000\n25535 38215\n19104 28568\n60711 91048\n82521 100000\n32861 49150\n37688 56450\n20714 30979\n47702 71492\n87232 100000\n63116 94667\n2300 3443\n36147 54122\n65034 97522\n64290 96406\n34888 52191\n82857 100000\n21452 32086\n77875 100000\n78193 100000\n20664 30903\n34335 51370\n37910 56779\n11178 16680\n61000 91477\n99844 100000\n27840 41641\n83504 100000\n66810 100000\n81146 100000\n33031 49409\n67566 100000\n10255 15298\n79957 100000\n60937 91384\n46403 69530\n76208 100000\n59567 89291\n71981 100000\n56110 84095\n87183 100000\n83198 100000\n34649 51835\n13737 20531\n96660 100000\n98548 100000\n39525 59221\n6633 9879\n39637 59375\n66472 99706\n1238 1851\n40611 60852\n20534 30701\n31863 47680\n87940 100000\n93083 100000\n52803 79166\n68123 100000\n41840 62698\n95358 100000\n24106 36073\n63439 95141\n13447 20108\n34866 52156\n56324 84418\n20039 29953\n57079 85553\n78363 100000\n76448 100000\n8273 12311\n82538 100000\n26107 39075\n29845 44637\n58579 87806\n69910 100000\n99965 100000\n30926 46277\n14970 22371\n55690 83454\n54725 82028\n85072 100000\n32624 48796\n8571 12774\n38002 56917\n70223 100000\n24276 36332\n29963 44816\n46357 69456\n23066 34529\n82558 100000\n19892 29741\n50266 75349\n22461 33617\n51525 77236\n88902 100000\n29020 43389\n42920 64318\n60227 90307\n12803 19150\n15607 23330\n99738 100000\n50281 75373\n10418 15559\n80383 100000\n60864 91274\n60827 91223\n46991 70426\n30768 46030\n8923 13307\n42846 64198\n58282 87363\n9329 13909\n4117 6118\n57485 86158\n79582 100000\n25256 37804\n63222 94822\n50850 76224\n64754 97099\n39949 59841\n2153 3224\n90270 100000\n64104 96131\n99291 100000\n7616 11358\n28123 42063\n7518 11211\n55451 83111\n47378 71013\n57583 86303\n77818 100000\n20682 30928\n50059 75047\n57784 86610\n30540 45678\n3282 4888\n25945 38833\n45001 67407\n14076 21034\n43291 64872\n35398 52960\n45341 67929\n76547 100000\n15892 23761\n42853 64210\n12059 18048\n84198 100000\n65876 98805\n46054 69001\n60219 90293\n18331 27405\n40376 60487\n5163 7689\n60548 90799\n65620 98429\n74309 100000\n12645 18909\n32705 48911\n15999 23924\n46435 69584\n95204 100000\n96471 100000\n50911 76317\n32017 47910\n29000 43357\n99657 100000\n88188 100000\n15667 23423\n11626 17380\n64452 96654\n78803 100000\n38666 57915\n28699 42912\n37474 56133\n12939 19348\n14611 21827\n42023 62976\n2967 4425\n69101 100000\n9438 14077\n86845 100000\n51026 76490\n95485 100000\n11175 16675\n78642 100000\n73645 100000\n83734 100000\n89705 100000\n93883 100000\n22844 34199\n37392 56008\n51600 77350\n90217 100000\n31056 46463\n45914 68784\n18986 28384\n43323 64920\n76561 100000\n28820 43094\n25994 38908\n50558 75784\n89586 100000\n15779 23590\n3525 5237\n24582 36804\n76888 100000\n22193 33206\n22401 33529\n60206 90274\n80480 100000\n18704 27966\n97034 100000\n68772 100000\n37676 56434\n11490 17162\n84473 100000\n64834 97226\n75686 100000\n98897 100000\n48836 73188\n7494 11174\n14731 22009\n13180 19712\n35222 52697\n8360 12444\n42092 63079\n1252 1872\n41478 62162\n28221 42211\n92324 100000\n74921 100000\n34452 51550\n129 186\n26738 40025\n41412 62062\n18768 28060\n87805 100000\n18140 27116\n71522 100000\n39404 59034\n76562 100000\n50250 75322\n52523 78732\n79417 100000\n37787 56595\n64805 97181\n30163 45113\n98744 100000\n73667 100000\n71339 100000\n51017 76477\n70100 100000\n34748 51981\n97424 100000\n8688 12946\n55444 83099\n39419 59058\n67064 100000\n76590 100000\n85127 100000\n14482 21634\n84798 100000\n20147 30110\n26437 39579\n92243 100000\n91142 100000\n9989 14911\n26111 39083\n79221 100000\n94758 100000\n68745 100000\n11157 16648\n40166 60167\n6975 10399\n70418 100000\n92642 100000\n23646 35391\n95119 100000\n71572 100000\n42562 63777\n33172 49623\n36576 54776\n31859 47675\n24894 37263\n81139 100000\n19295 28853\n15059 22499\n320 472\n59737 89554\n98911 100000\n8607 12827\n18273 27313\n47000 70441\n18519 27681\n94476 100000\n24337 36428\n70191 100000\n74228 100000\n9299 13864\n86639 100000\n44838 67152\n77640 100000\n39643 59384\n74110 100000\n50468 75648\n785 1176\n99539 100000\n66156 99231\n96856 100000\n22308 33385\n90446 100000\n14362 21452\n78802 100000\n10850 16187\n60459 90660\n11596 17330\n86894 100000\n46442 69595\n2525 3781\n84707 100000\n59131 88628\n91190 100000\n68291 100000\n20467 30599\n33479 50079\n76476 100000\n77441 100000\n45463 68109\n70174 100000\n8809 13133\n60428 90615\n66072 99104\n83866 100000\n891 1334\n93670 100000\n9548 14246\n35658 53361\n11879 17772\n90052 100000\n87376 100000\n54654 81916\n9136 13625\n82243 100000\n82363 100000\n70099 100000\n99671 100000\n51155 76684\n77381 100000\n59336 88938\n48114 72119\n10908 16274\n60781 91150\n20820 31134\n26659 39912\n50191 75235\n37122 55596\n776 1161\n22197 33211\n64518 96748\n76148 100000\n89258 100000\n31853 47665\n76926 100000\n82882 100000\n70974 100000\n83168 100000\n24701 36978\n49727 74544\n37557 56257\n55020 82467\n30867 46189\n87809 100000\n74641 100000\n57014 85453\n6427 9578\n26197 39214\n79670 100000\n26745 40036\n48636 72888\n28689 42897\n75052 100000\n68981 100000\n92792 100000\n33583 50233\n79700 100000\n49804 74661\n48791 73121\n78690 100000\n57563 86271\n68173 100000\n28913 43225\n49785 74634\n4397 6537\n95171 100000\n67758 100000\n59549 89264\n25045 37490\n62563 93829\n31021 46409\n32346 48402\n5621 8368\n21124 31589\n8823 13154\n14115 21091\n16382 24483\n18836 28162\n2970 4430\n75108 100000\n40984 61428\n65283 97910\n16344 24426\n85863 100000\n97668 100000\n15661 23412\n16109 24086\n74940 100000\n48156 72184\n41675 62448\n6576 9799\n845 1266\n96619 100000\n38489 57658\n58928 88325\n62752 94111\n46379 69492\n35395 52957\n20840 31164\n76693 100000\n63623 95404\n61026 91515\n2488 3724\n21144 31622\n49456 74138\n572 856\n62130 93194\n43968 65891\n73291 100000\n26817 40141\n50257 75335\n81387 100000\n55613 83342\n22354 33459\n5062 7542\n58685 87971\n33126 49559\n95057 100000\n87696 100000\n31727 47477\n55570 83282\n44166 66190\n26905 40267\n66834 100000\n24176 36184\n40884 61278\n36997 55404\n10423 15566\n50822 76182\n9855 14711\n56531 84739\n14483 21636\n16639 24863\n21658 32398\n40935 61353\n75805 100000\n43439 65103\n31301 46830\n70273 100000\n37582 56291\n21627 32349\n25803 38622\n40809 61165\n79570 100000\n35575 53241\n42282 63359\n84560 100000\n67709 100000\n23454 35105\n86441 100000\n40129 60113\n87125 100000\n59570 89294\n44885 67224\n20628 30847\n90579 100000\n96125 100000\n43005 64444\n34879 52176\n53208 79767\n35657 53360\n61690 92535\n38491 57660\n56131 84124\n2213 3311\n74390 100000\n66881 100000\n94388 100000\n3501 5202\n34218 51187\n70067 100000\n60124 90148\n65700 98547\n17912 26782\n79519 100000\n4014 5961\n4400 6541\n1416 2120\n74331 100000\n78059 100000\n78474 100000\n46667 69930\n96840 100000\n12458 18628\n21259 31797\n26044 38975\n85286 100000\n42941 64351\n53008 79485\n50784 76126\n14939 22327\n67331 100000\n94759 100000\n31486 47116\n30535 45668\n92354 100000\n29731 44465\n38221 57241\n78652 100000\n25238 37775\n30740 45990\n40564 60782\n65260 97873\n54276 81363\n76260 100000\n76173 100000\n15334 22909\n20302 30346\n44076 66051\n69356 100000\n76953 100000\n85836 100000\n65133 97676\n84037 100000\n83880 100000\n76200 100000\n96238 100000\n46549 69750\n71467 100000\n34740 51971\n9585 14302\n49215 73770\n27877 41692\n93834 100000\n13425 20077\n21704 32468\n17403 26011\n1806 2699\n54135 81154\n9430 14065\n34054 50937\n14532 21706\n44814 67117\n11655 17423\n60995 91470\n4410 6558\n15375 22970\n24356 36460\n63853 95760\n23203 34729\n29353 43886\n47906 71806\n83847 100000\n77760 100000\n74666 100000\n74274 100000\n94282 100000\n52264 78342\n22840 34191\n30182 45145\n58223 87271\n63666 95465\n27864 41675\n44020 65966\n41885 62764\n33430 50004\n41034 61504\n40296 60366\n81060 100000\n32320 48363\n84670 100000\n60043 90024\n43843 65707\n60373 90529\n25484 38142\n19232 28759\n2547 3819\n33363 49903\n95394 100000\n10390 15511\n90571 100000\n6888 10269\n5943 8853\n24262 36313\n40869 61253\n6362 9484\n77161 100000\n89043 100000\n15381 22980\n67070 100000\n21652 32391\n57297 85866\n32595 48751\n24545 36752\n70030 100000\n27459 41078\n67489 100000\n87916 100000\n61729 92595\n95516 100000\n90129 100000\n65416 98124\n11158 16650\n10155 15151\n67223 100000\n96618 100000\n38818 58142\n41843 62701\n37005 55418\n32712 48922\n87746 100000\n92653 100000\n6870 10242\n71341 100000\n86201 100000\n64343 96483\n16107 24083\n73798 100000\n12229 18294\n23459 35112\n47897 71793\n81687 100000\n1332 1992\n98456 100000\n67704 100000\n85596 100000\n32230 48230\n66149 99219\n25602 38319\n92838 100000\n38635 57870\n5370 8000\n91729 100000\n1820 2717\n34917 52238\n92205 100000\n48292 72376\n69921 100000\n11214 16736\n49856 74739\n85747 100000\n48102 72101\n82933 100000\n88634 100000\n84552 100000\n69097 100000\n89198 100000\n19240 28772\n92334 100000\n89167 100000\n82579 100000\n10352 15449\n11240 16778\n2714 4051\n83730 100000\n61350 92021\n96182 100000\n92775 100000\n61374 92058\n78449 100000\n51924 77833\n46157 69159\n31032 46427\n47864 71743\n99659 100000\n51768 77601\n47481 71165\n41361 61980\n6508 9701\n50374 75514\n41653 62414\n651 975\n8971 13379\n24936 37320\n98149 100000\n12629 18885\n74704 100000\n93687 100000\n51425 77090\n77728 100000\n91191 100000\n50905 76308\n70039 100000\n90490 100000\n35405 52971\n99547 100000\n59770 89609\n2426 3631\n87819 100000\n81104 100000\n75769 100000\n60881 91298\n91665 100000\n75891 100000\n66024 99031\n53466 80148\n53889 80787\n38752 58048\n8804 13125\n72152 100000\n21950 32842\n13143 19659\n95708 100000\n3242 4831\n53117 79633\n81615 100000\n19370 28970\n12723 19028\n36409 54517\n68652 100000\n56585 84813\n36628 54856\n18536 27708\n6699 9973\n51173 76712\n83729 100000\n10558 15757\n97506 100000\n85438 100000\n28922 43239\n22894 34278\n65624 98434\n63923 95869\n32368 48430\n24601 36832\n36668 54914\n49446 74123\n45422 68048\n27466 41089\n13469 20142\n71965 100000\n80532 100000\n88171 100000\n44372 66475\n30619 45803\n75911 100000\n56055 84008\n58253 87319\n52102 78096\n81074 100000\n84187 100000\n89538 100000\n45885 68745\n27460 41079\n36338 54411\n34378 51443\n85870 100000\n39470 59136\n54500 81695\n347 511\n9257 13800\n59741 89558\n79311 100000\n57174 85686\n39213 58738\n88783 100000\n23280 34850\n66928 100000\n79031 100000\n85954 100000\n34405 51485\n43606 65356\n47456 71129\n19010 28425\n57289 85856\n94178 100000\n72860 100000\n32078 47999\n93617 100000\n39317 58895\n57941 86851\n50789 76134\n74395 100000\n29986 44851\n9012 13442\n82921 100000\n29288 43785\n20549 30723\n73842 100000\n63563 95320\n51304 76908\n30205 45178\n80992 100000\n17534 26208\n27819 41610\n58147 87159\n65670 98499\n5027 7483\n68141 100000\n13298 19882\n83884 100000\n40298 60369\n74323 100000\n47436 71099\n59012 88454\n70481 100000\n56851 85215\n50254 75330\n81444 100000\n52137 78147\n52497 78694\n61055 91558\n15316 22883\n31318 46856\n90155 100000\n14343 21426\n27810 41595\n2401 3595\n81181 100000\n97066 100000\n88719 100000\n85015 100000\n83150 100000\n25129 37612\n6931 10332\n65756 98633\n80282 100000\n76759 100000\n55201 82732\n5639 8395\n87201 100000\n29597 44259\n46009 68932\n88353 100000\n48430 72580\n99851 100000\n6358 9478\n31184 46648\n41397 62038\n83203 100000\n15212 22727\n71253 100000\n18834 28158\n28494 42610\n38607 57829\n30685 45902\n63464 95180\n2829 4221\n58663 87938\n76582 100000\n28758 43001\n21773 32566\n85054 100000\n35133 52564\n57509 86193\n79338 100000\n28657 42846\n55080 82554\n40744 61061\n24666 36927\n89156 100000\n78024 100000\n17456 26093\n53413 80069\n65761 98640\n73193 100000\n36133 54101\n23616 35346\n25112 37589\n67048 100000\n50443 75611\n43245 64797\n75451 100000\n95796 100000\n83845 100000\n51900 77795\n89721 100000\n42822 64160\n51243 76819\n73628 100000\n83497 100000\n76007 100000\n1625 2416\n30272 45277\n406 601\n92497 100000\n85579 100000\n69217 100000\n22683 33946\n79867 100000\n71387 100000\n17118 25576\n15379 22976\n26618 39850\n91789 100000\n33595 50251\n22414 33546\n98730 100000\n38056 56998\n50551 75776\n60521 90756\n82321 100000\n54221 81279\n26903 40264\n83407 100000\n54178 81217\n75014 100000\n27520 41168\n44410 66531\n48832 73181\n25534 38213\n64036 96031\n35235 52718\n62487 93716\n40135 60122\n4114 6113\n74713 100000\n98994 100000\n12100 18108\n75509 100000\n73100 100000\n95345 100000\n36692 54956\n53358 79991\n50960 76392\n91683 100000\n12554 18770\n7027 10476\n94093 100000\n54493 81683\n72120 100000\n31695 47425\n41998 62939\n70646 100000\n33597 50254\n10158 15155\n37066 55509\n94594 100000\n53847 80724\n64110 96139\n87325 100000\n78016 100000\n84287 100000\n55313 82901\n1918 2869\n59420 89065\n94061 100000\n33491 50097\n25802 38621\n73455 100000\n80049 100000\n44568 66763\n68194 100000\n51577 77314\n43523 65228\n47415 71065\n31510 47149\n13038 19496\n88283 100000\n32455 48558\n15394 22998\n40859 61242\n57392 86012\n82975 100000\n34479 51588\n52537 78750\n26330 39419\n34779 52028\n67811 100000\n27437 41046\n41456 62126\n99335 100000\n25578 38286\n13867 20727\n62227 93339\n31636 47334\n34746 51978\n91295 100000\n33537 50166\n55161 82669\n19338 28922\n41188 61736\n32892 49200\n35590 53265\n36752 55044\n76779 100000\n93384 100000\n30056 44955\n4417 6571\n48910 73300\n44390 66501\n57819 86663\n11065 16511\n72086 100000\n6001 8940\n45019 67429\n32046 47953\n47432 71092\n16151 24148\n84740 100000\n81724 100000\n97456 100000\n29033 43408\n13993 20914\n91932 100000\n80765 100000\n74591 100000\n90327 100000\n26760 40057\n314 464\n83248 100000\n72228 100000\n22188 33197\n20198 30182\n69479 100000\n75303 100000\n79929 100000\n2960 4418\n64968 97422\n16490 24647\n7879 11738\n93075 100000\n86435 100000\n70491 100000\n35770 53536\n82886 100000\n90113 100000\n86950 100000\n81817 100000\n69886 100000\n139 204\n78869 100000\n23161 34664\n11340 16929\n44731 67000\n59436 89087\n40617 60861\n56136 84133\n13810 20645\n47966 71897\n33254 49741\n50873 76258\n98732 100000\n25865 38714\n31185 46649\n3337 4960\n2352 3522\n57714 86511\n907 1357\n32402 48479\n14251 21290\n8563 12764\n56907 85300\n97176 100000\n43379 65007\n80208 100000\n92680 100000\n23772 35573\n16734 25003\n16146 24140\n45791 68605\n5774 8594\n76894 100000\n63438 95140\n81888 100000\n23084 34555\n93850 100000\n5574 8299\n55693 83458\n85247 100000\n33693 50398\n4622 6869\n64328 96462\n70048 100000\n41301 61892\n74143 100000\n33644 50322\n14488 21642\n73366 100000\n26480 39642\n85869 100000\n57888 86767\n13066 19542\n53765 80603\n28892 43196\n94068 100000\n75472 100000\n43557 65278\n73926 100000\n2116 3172\n73971 100000\n53915 80823\n77323 100000\n8109 12069\n46748 70055\n83701 100000\n89391 100000\n5432 8095\n98288 100000\n89595 100000\n87927 100000\n13128 19634\n19545 29229\n20838 31161\n25253 37800\n35501 53131\n86098 100000\n46093 69055\n50342 75465\n38572 57779\n21076 31516\n31215 46694\n29622 44299\n45744 68533\n34311 51336\n26215 39241\n89026 100000\n13883 20751\n73619 100000\n89521 100000\n81926 100000\n4226 6288\n47739 71548\n10822 16142\n72151 100000\n24879 37241\n21510 32171\n3629 5393\n62637 93942\n98767 100000\n12158 18191\n2468 3693\n15756 23554\n76575 100000\n36726 55003\n27031 40449\n95379 100000\n25061 37515\n56086 84053\n11567 17282\n54799 82138\n28696 42907\n22310 33388\n75293 100000\n37254 55792\n65127 97666\n82735 100000\n72809 100000\n43356 64969\n47464 71141\n17130 25594\n21556 32246\n89853 100000\n12708 19003\n68907 100000\n12315 18422\n78776 100000\n44397 66511\n51891 77781\n7989 11893\n63293 94928\n57575 86291\n37589 56303\n37716 56493\n54782 82112\n98619 100000\n46877 70253\n73531 100000\n80744 100000\n24735 37028\n33968 50813\n45959 68851\n94056 100000\n20432 30549\n45068 67503\n45519 68191\n46894 70278\n32397 48473\n99680 100000\n70898 100000\n48639 72892\n18687 27940\n35491 53115\n62029 93044\n54070 81053\n16156 24155\n82737 100000\n9085 13547\n58914 88305\n12072 18069\n40304 60378\n20514 30672\n19434 29060\n77750 100000\n2544 3813\n16574 24769\n26281 39342\n29613 44287\n76240 100000\n74460 100000\n6520 9718\n30304 45324\n29600 44263\n70232 100000\n82381 100000\n9690 14452\n61322 91976\n89177 100000\n84956 100000\n46122 69103\n46416 69551\n83861 100000\n18295 27346\n45578 68276\n3498 5198\n41438 62102\n84087 100000\n76634 100000\n91090 100000\n71887 100000\n11398 17012\n90225 100000\n4437 6599\n43724 65526\n24592 36818\n29906 44730\n80094 100000\n96221 100000\n99889 100000\n90478 100000\n68618 100000\n45523 68198\n15813 23640\n72687 100000\n18410 27519\n76902 100000\n35596 53273\n90015 100000\n1888 2827\n53957 80888\n59246 88803\n22258 33306\n69380 100000\n82935 100000\n92011 100000\n26407 39534\n14142 21131\n4301 6397\n47963 71893\n11524 17219\n74239 100000\n33973 50820\n91891 100000\n69423 100000\n79667 100000\n47459 71133\n24898 37269\n89878 100000\n39517 59208\n15043 22477\n89074 100000\n21282 31834\n44702 66961\n5148 7663\n823 1232\n65641 98458\n35180 52632\n28526 42656\n66569 99851\n28261 42271\n67760 100000\n75610 100000\n10448 15602\n50125 75138\n9684 14443\n95101 100000\n89549 100000\n55361 82972\n81081 100000\n34728 51953\n64603 96873\n78891 100000\n85114 100000\n56704 84991\n53654 80434\n55837 83682\n11937 17855\n5573 8297\n81593 100000\n58424 87577\n46483 69656\n7004 10444\n23358 34964\n95601 100000\n81953 100000\n25660 38406\n64938 97379\n6252 9325\n3832 5693\n30804 46088\n34530 51664\n92405 100000\n25381 37989\n54579 81813\n23382 34997\n15634 23367\n20341 30408\n32048 47955\n56904 85296\n95669 100000\n79536 100000\n20520 30680\n18548 27727\n892 1335\n73610 100000\n19515 29185\n31047 46447\n41030 61498\n35496 53123\n96445 100000\n66196 99291\n49473 74163\n61652 92472\n70382 100000\n92007 100000\n29419 43986\n45443 68079\n72421 100000\n89628 100000\n79377 100000\n75579 100000\n45326 67906\n144 211\n8332 12403\n74267 100000\n52363 78486\n68091 100000\n47195 70740\n69582 100000\n21563 32256\n59223 88768\n23372 34983\n40629 60879\n64952 97398\n67675 100000\n305 448\n11863 17747\n80750 100000\n57043 85502\n30733 45979\n27258 40788\n84829 100000\n22852 34212\n67011 100000\n38884 58242\n68116 100000\n96736 100000\n44716 66980\n85152 100000\n94038 100000\n85879 100000\n67423 100000\n89105 100000\n69658 100000\n90920 100000\n77376 100000\n81477 100000\n19280 28833\n27984 41850\n93936 100000\n78957 100000\n31737 47492\n6755 10054\n95995 100000\n10870 16217\n42591 63815\n20052 29971\n72796 100000\n83962 100000\n87418 100000\n6683 9949\n6382 9513\n9191 13702\n78708 100000\n69728 100000\n18640 27863\n57331 85921\n58939 88346\n33579 50227\n12943 19354\n58757 88075\n30527 45658\n99947 100000\n11773 17605\n96469 100000\n74727 100000\n381 559\n93367 100000\n62338 93503\n25937 38819\n40497 60668\n16274 24329\n68358 100000\n45852 68693\n93896 100000\n65453 98177\n25585 38295\n14209 21228\n74837 100000\n32423 48510\n88943 100000\n37865 56708\n20248 30256\n45644 68380\n23835 35671\n7988 11892\n52337 78447\n42338 63438\n29261 43747\n38200 57209\n89531 100000\n11841 17711\n89504 100000\n35380 52935\n66893 100000\n58321 87427\n58770 88096\n13183 19717\n60358 90508\n75548 100000\n33826 50598\n57041 85499\n3663 5446\n39014 58431\n42136 63142\n91141 100000\n85536 100000\n11010 16433\n21192 31692\n21096 31547\n91774 100000\n922 1380\n22098 33061\n67857 100000\n30852 46165\n99387 100000\n38460 57616\n5727 8525\n24826 37166\n23765 35562\n41729 62525\n50521 75732\n22755 34056\n53925 80839\n45748 68539\n28934 43256\n40844 61220\n99203 100000\n44292 66361\n1513 2256\n82355 100000\n40988 61433\n8238 12262\n16194 24210\n60266 90367\n2021 3028\n82154 100000\n56252 84308\n10419 15560\n60139 90171\n82126 100000\n27657 41367\n5399 8046\n42615 63850\n4212 6266\n34967 52315\n39450 59107\n61807 92708\n6616 9853\n76424 100000\n5516 8218\n21033 31450\n26433 39573\n47799 71640\n46750 70058\n76857 100000\n94527 100000\n55447 83103\n52166 78192\n28368 42431\n6260 9336\n85910 100000\n72975 100000\n5052 7526\n85853 100000\n83939 100000\n90592 100000\n68365 100000\n12132 18153\n54780 82109\n32503 48627\n63092 94629\n96454 100000\n900 1346\n74525 100000\n44720 66986\n41492 62180\n42704 63985\n26211 39235\n18719 27988\n67525 100000\n57093 85573\n15582 23291\n94022 100000\n19715 29479\n5160 7684\n11742 17556\n75874 100000\n14789 22093\n22246 33291\n81416 100000\n51186 76734\n96331 100000\n175 256\n24398 36527\n98665 100000\n26232 39265\n12662 18934\n48503 72693\n11040 16476\n38114 57084\n70069 100000\n39276 58831\n14190 21200\n23381 34995\n99125 100000\n83425 100000\n71537 100000\n231 343\n62306 93455\n47194 70739\n25410 38032\n68351 100000\n95588 100000\n38999 58407\n17374 25965\n36405 54512\n55392 83017\n24579 36800\n73253 100000\n20880 31222\n88048 100000\n68668 100000\n18936 28310\n51193 76744\n95156 100000\n67937 100000\n18482 27626\n61599 92391\n56487 84667\n43024 64476\n45722 68500\n4449 6617\n43151 64658\n74719 100000\n5938 8845\n1050 1571\n42230 63280\n48904 73292\n92933 100000\n46508 69691\n34253 51246\n26587 39799\n71657 100000\n71720 100000\n8922 13306\n40524 60715\n9715 14495\n51921 77828\n68138 100000\n90959 100000\n19759 29549\n52810 79178\n96586 100000\n39833 59673\n4816 7162\n13313 19908\n85669 100000\n89598 100000\n73255 100000\n5855 8719\n30561 45709\n18098 27055\n25360 37958\n47521 71226\n19815 29630\n51362 76995\n94808 100000\n5241 7807\n66344 99513\n19520 29193\n1391 2080\n19809 29623\n60850 91254\n42753 64059\n3931 5838\n52940 79379\n53372 80012\n92022 100000\n41154 61682\n83784 100000\n96097 100000\n28267 42279\n88087 100000\n40151 60146\n88994 100000\n83516 100000\n67716 100000\n86149 100000\n12288 18391\n10719 15989\n40587 60819\n45152 67637\n41848 62709\n35404 52969\n80677 100000\n85478 100000\n37847 56680\n63240 94849\n10428 15575\n40658 60924\n21300 31859\n91341 100000\n97770 100000\n25297 37863\n96219 100000\n95044 100000\n47394 71035\n36478 54620\n42337 63436\n56790 85123\n19784 29587\n66962 100000\n65389 98080\n7078 10551\n41696 62477\n78549 100000\n83091 100000\n70631 100000\n24661 36920\n98287 100000\n4198 6244\n81609 100000\n52236 78300\n44059 66025\n46825 70174\n1885 2823\n82848 100000\n62203 93304\n99435 100000\n85346 100000\n84692 100000\n59353 88967\n40325 60413\n69956 100000\n58311 87411\n43504 65201\n84091 100000\n19189 28691\n60379 90538\n74642 100000\n89616 100000\n91704 100000\n26741 40029\n32884 49186\n91642 100000\n64535 96775\n14170 21174\n19553 29242\n67789 100000\n5643 8400\n23960 35857\n11110 16578\n844 1265\n57915 86813\n36379 54477\n5730 8530\n62591 93868\n40056 60005\n50621 75867\n24304 36375\n45473 68125\n6937 10341\n38949 58330\n62987 94466\n99555 100000\n16478 24628\n32894 49204\n86429 100000\n42029 62985\n67003 100000\n31661 47374\n77976 100000\n78413 100000\n53151 79683\n67892 100000\n49177 73712\n38754 58051\n87078 100000\n15705 23476\n81186 100000\n88174 100000\n64954 97402\n581 870\n15704 23475\n88656 100000\n29373 43916\n34240 51225\n78910 100000\n87242 100000\n27587 41266\n84592 100000\n2287 3421\n782 1172\n77526 100000\n61855 92781\n34125 51050\n29723 44455\n20965 31348\n78493 100000\n16184 24194\n44231 66279\n36986 55388\n47635 71391\n75153 100000\n61511 92256\n77847 100000\n57406 86033\n70611 100000\n39894 59761\n20241 30245\n80734 100000\n97842 100000\n95076 100000\n13762 20574\n53167 79704\n49077 73559\n52084 78070\n10990 16400\n92843 100000\n22295 33364\n78195 100000\n97040 100000\n4036 5996\n65149 97703\n55657 83407\n95873 100000\n49713 74522\n92912 100000\n4448 6616\n85350 100000\n17082 25522\n49448 74127\n44825 67134\n75590 100000\n45018 67428\n41163 61697\n4318 6420\n23089 34562\n90324 100000\n85558 100000\n8540 12727\n59688 89481\n51703 77505\n95208 100000\n67263 100000\n69287 100000\n63577 95340\n10324 15406\n87588 100000\n12380 18516\n56940 85348\n10608 15830\n63979 95952\n51635 77398\n21622 32344\n78387 100000\n83787 100000\n17560 26246\n71717 100000\n86317 100000\n70122 100000\n68023 100000\n37539 56230\n53063 79557\n78565 100000\n79039 100000\n61075 91592\n3011 4491\n89272 100000\n15442 23077\n11969 17905\n73383 100000\n87250 100000\n19726 29496\n91357 100000\n64010 95997\n60876 91291\n6115 9113\n66082 99122\n11330 16913\n598 893\n25582 38291\n97489 100000\n63535 95281\n71876 100000\n20194 30176\n78689 100000\n63503 95231\n11766 17593\n8944 13340\n22325 33411\n12906 19301\n23736 35520\n89080 100000\n41951 62863\n21784 32582\n50506 75705\n83809 100000\n26924 40293\n30425 45506\n27188 40685\n22882 34257\n85704 100000\n59889 89780\n72420 100000\n11697 17490\n76081 100000\n5389 8027\n96513 100000\n29669 44372\n88928 100000\n70420 100000\n52710 79018\n31445 47055\n77772 100000\n29546 44179\n10722 15994\n40340 60436\n99058 100000\n23418 35052\n3664 5448\n62310 93462\n59088 88567\n57211 85743\n81984 100000\n55945 83849\n36602 54814\n81746 100000\n12969 19393\n75646 100000\n32888 49192\n43613 65364\n37900 56763\n22815 34150\n81109 100000\n2789 4158\n24912 37287\n22200 33216\n95703 100000\n99690 100000\n64096 96120\n49818 74682\n95783 100000\n61712 92570\n75393 100000\n51791 77632\n77352 100000\n49449 74128\n60170 90215\n52677 78970\n68803 100000\n32282 48310\n69587 100000\n14573 21770\n58333 87439\n3467 5151\n10677 15926\n37984 56886\n45100 67559\n11420 17047\n84737 100000\n3512 5218\n90911 100000\n69306 100000\n56678 84954\n97572 100000\n36068 53996\n57036 85490\n53869 80757\n44907 67261\n32333 48381\n48144 72164\n12375 18507\n82641 100000\n26584 39794\n62496 93731\n39165 58664\n57188 85708\n35013 52386\n71868 100000\n90707 100000\n80733 100000\n5608 8349\n80101 100000\n12164 18199\n1167 1743\n82752 100000\n68866 100000\n15135 22613\n45255 67799\n67316 100000\n4525 6730\n12915 19313\n22606 33833\n67624 100000\n95724 100000\n34726 51950\n16749 25026\n25996 38910\n21738 32517\n38506 57682\n17632 26349\n74700 100000\n50824 76186\n5064 7544\n82889 100000\n71026 100000\n23787 35596\n71794 100000\n94499 100000\n96947 100000\n91940 100000\n4191 6234\n25607 38327\n67312 100000\n59854 89734\n26511 39683\n6883 10261\n79930 100000\n13188 19726\n65651 98473\n12794 19136\n93508 100000\n3294 4904\n6177 9215\n79561 100000\n16438 24565\n7195 10728\n88157 100000\n44302 66376\n98814 100000\n5844 8703\n39773 59578\n3843 5710\n43989 65922\n36632 54861\n46556 69758\n98803 100000\n94656 100000\n58938 88344\n53617 80377\n34654 51842\n90277 100000\n68737 100000\n33455 50040\n99870 100000\n71243 100000\n95635 100000\n17136 25601\n75425 100000\n77835 100000\n58441 87602\n57947 86861\n86677 100000\n63179 94757\n92146 100000\n2588 3875\n28197 42172\n89727 100000\n6295 9387\n13628 20374\n35306 52819\n29741 44478\n2648 3963\n41036 61508\n79554 100000\n79005 100000\n6205 9255\n31337 46886\n15551 23246\n47829 71689\n76671 100000\n35224 52700\n94626 100000\n67755 100000\n15958 23865\n8565 12767\n78447 100000\n26094 39054\n8124 12089\n91944 100000\n72352 100000\n26518 39694\n35298 52808\n99630 100000\n55545 83245\n68999 100000\n4033 5991\n46865 70235\n14162 21163\n8407 12511\n65088 97605\n59392 89022\n66295 99440\n66859 100000\n75326 100000\n6739 10033\n78994 100000\n41833 62687\n31312 46845\n63953 95914\n77053 100000\n25482 38139\n78862 100000\n84822 100000\n14736 22017\n58603 87843\n59318 88911\n63863 95776\n99770 100000\n62928 94379\n75583 100000\n17744 26526\n63690 95503\n70246 100000\n73732 100000\n22062 33007\n79123 100000\n41602 62340\n30031 44918\n73030 100000\n82856 100000\n85348 100000\n14589 21792\n35576 53243\n80519 100000\n16880 25222\n32474 48586\n50947 76372\n55788 83603\n16218 24247\n70972 100000\n2652 3968\n47718 71515\n24846 37193\n4439 6603\n3853 5722\n73335 100000\n62098 93150\n8202 12206\n52932 79366\n90390 100000\n65669 98497\n89686 100000\n38986 58389\n21513 32176\n34332 51366\n93593 100000\n48028 71988\n49278 73861\n51298 76899\n12673 18951\n72463 100000\n87219 100000\n59438 89090\n85713 100000\n42611 63843\n4102 6092\n82444 100000\n4926 7329\n71654 100000\n83796 100000\n98855 100000\n50483 75671\n9853 14709\n24751 37052\n3259 4857\n83 124\n44351 66450\n74746 100000\n75593 100000\n89139 100000\n85953 100000\n20957 31337\n84110 100000\n88729 100000\n73339 100000\n20715 30980\n40089 60051\n10337 15425\n94862 100000\n9156 13653\n93864 100000\n17563 26249\n42725 64017\n36145 54120\n50481 75668\n13358 19973\n67875 100000\n44432 66563\n46217 69244\n77152 100000\n69873 100000\n75924 100000\n82134 100000\n57325 85912\n17375 25966\n74044 100000\n25708 38480\n96826 100000\n98000 100000\n40876 61264\n15465 23114\n94245 100000\n35434 53018\n35137 52569\n99816 100000\n30186 45151\n66527 99785\n31744 47501\n89239 100000\n10320 15399\n15802 23623\n42207 63246\n41944 62854\n96696 100000\n32141 48095\n7601 11334\n24887 37252\n20337 30401\n42185 63215\n51404 77060\n91547 100000\n29482 44078\n59689 89483\n6682 9947\n29107 43516\n67737 100000\n41898 62783\n11252 16798\n51427 77092\n4677 6954\n10611 15834\n4857 7222\n35652 53354\n33916 50737\n34228 51203\n7268 10834\n79722 100000\n70167 100000\n10502 15676\n9495 14163\n63063 94581\n58325 87431\n77913 100000\n28601 42761\n94702 100000\n93648 100000\n16251 24298\n57729 86534\n39620 59354\n14991 22401\n96239 100000\n10129 15119\n6062 9034\n89723 100000\n17690 26444\n39015 58432\n11387 16996\n49589 74340\n73777 100000\n60193 90252\n13094 19582\n57510 86194\n67428 100000\n27685 41413\n39329 58916\n47340 70955\n13621 20364\n52249 78321\n28223 42213\n41915 62811\n80588 100000\n89922 100000\n21956 32850\n21045 31469\n6983 10412\n42652 63906\n86396 100000\n32996 49353\n36153 54129\n64182 96248\n92943 100000\n9641 14381\n43025 64478\n83867 100000\n83224 100000\n73292 100000\n14465 21606\n90269 100000\n52815 79186\n59428 89074\n73685 100000\n44129 66132\n10625 15854\n1299 1945\n16790 25085\n2731 4073\n59352 88966\n54323 81428\n26165 39168\n13702 20479\n4284 6373\n73298 100000\n76160 100000\n72400 100000\n59947 89871\n40676 60954\n26726 40007\n9203 13718\n12586 18818\n58053 87020\n49071 73549\n31409 46995\n98272 100000\n82399 100000\n75732 100000\n25068 37525\n88061 100000\n9013 13444\n58895 88280\n16364 24458\n76798 100000\n17388 25987\n38465 57623\n32211 48202\n70677 100000\n24052 35997\n15144 22623\n9974 14887\n76881 100000\n96674 100000\n58604 87845\n83372 100000\n73314 100000\n81294 100000\n31987 47869\n28168 42130\n81434 100000\n26166 39170\n52917 79343\n7376 10999\n77289 100000\n76507 100000\n30812 46100\n14955 22353\n89078 100000\n7458 11121\n24391 36514\n45930 68806\n63419 95110\n58850 88218\n45621 68345\n69797 100000\n67121 100000\n41856 62720\n66405 99606\n93781 100000\n62549 93807\n62237 93358\n5795 8628\n39866 59721\n76 112\n58371 87496\n84267 100000\n86124 100000\n42096 63085\n48372 72496\n55808 83634\n80725 100000\n14296 21359\n80051 100000\n99185 100000\n45853 68694\n2635 3945\n92532 100000\n96798 100000\n44142 66152\n88195 100000\n5118 7620\n68135 100000\n81884 100000\n20260 30273\n16297 24359\n8831 13166\n21800 32611\n28118 42055\n66218 99326\n43542 65258\n49070 73548\n40192 60207\n45527 68204\n10360 15461\n53315 79930\n5200 7748\n22052 32994\n32498 48620\n64062 96070\n13767 20582\n18196 27198\n5468 8149\n89407 100000\n48393 72527\n31845 47653\n63559 95315\n45432 68063\n31049 46451\n45528 68205\n17584 26280\n37796 56607\n47126 70635\n79306 100000\n63865 95779\n82472 100000\n70955 100000\n43998 65933\n5081 7568\n29027 43400\n22091 33052\n48165 72196\n48854 73212\n70031 100000\n82512 100000\n96579 100000\n25564 38262\n23881 35743\n90560 100000\n38718 57994\n93236 100000\n58383 87515\n72273 100000\n76501 100000\n48726 73017\n94977 100000\n80801 100000\n48 71\n93061 100000\n31085 46503\n8335 12407\n61230 91824\n90171 100000\n11233 16768\n13380 20004\n46558 69761\n26202 39221\n64598 96864\n60116 90135\n89746 100000\n73052 100000\n39231 58765\n34719 51941\n61996 92992\n67293 100000\n94688 100000\n84594 100000\n93664 100000\n85277 100000\n97515 100000\n64877 97287\n8209 12218\n52823 79198\n3836 5698\n16780 25072\n84889 100000\n34109 51025\n58946 88357\n78951 100000\n51305 76909\n10742 16024\n98283 100000\n22086 33045\n83668 100000\n98881 100000\n68468 100000\n23347 34946\n34741 51972\n44840 67155\n82127 100000\n77449 100000\n80703 100000\n42808 64138\n20306 30353\n56511 84708\n9790 14608\n17322 25883\n210 312\n49612 74376\n43176 64690\n52184 78223\n542 811\n73415 100000\n97169 100000\n80401 100000\n82546 100000\n23683 35448\n23634 35374\n19507 29172\n75140 100000\n34274 51279\n16995 25395\n77830 100000\n35983 53862\n77026 100000\n23833 35669\n59768 89606\n71888 100000\n62717 94058\n39041 58471\n9727 14513\n83182 100000\n64753 97097\n93249 100000\n32839 49116\n2619 3918\n76019 100000\n3822 5678\n41010 61465\n21967 32865\n12169 18207\n51334 76953\n93369 100000\n43855 65726\n25034 37473\n46338 69425\n11624 17377\n556 834\n82769 100000\n2932 4379\n75479 100000\n82952 100000\n89665 100000\n47846 71715\n36186 54184\n9444 14088\n94440 100000\n48331 72434\n17900 26765\n37422 56050\n83084 100000\n44195 66230\n77984 100000\n93897 100000\n50276 75365\n82101 100000\n33849 50631\n23876 35736\n86993 100000\n71372 100000\n16298 24360\n67047 100000\n67495 100000\n70169 100000\n60971 91435\n93296 100000\n37033 55460\n99533 100000\n41011 61467\n26239 39278\n5415 8070\n83173 100000\n29205 43661\n32804 49064\n16762 25046\n35922 53772\n84945 100000\n93852 100000\n92845 100000\n37128 55603\n13945 20840\n25508 38180\n19637 29368\n46546 69745\n23007 34447\n27866 41677\n79776 100000\n5010 7456\n58635 87893\n13908 20788\n16985 25382\n94770 100000\n91624 100000\n71258 100000\n65544 98316\n31137 46576\n76145 100000\n96879 100000\n89817 100000\n17341 25913\n85276 100000\n69974 100000\n62865 94284\n28205 42186\n61048 91548\n21863 32713\n59147 88651\n83069 100000\n49206 73757\n61780 92668\n9785 14600\n84860 100000\n4086 6065\n24699 36975\n18042 26969\n38628 57860\n62543 93798\n22773 34086\n42018 62966\n78877 100000\n62608 93898\n3426 5090\n77248 100000\n39153 58646\n35150 52586\n82386 100000\n27805 41587\n73978 100000\n133 193\n9791 14610\n89068 100000\n69071 100000\n35989 53873\n8002 11912\n47035 70494\n39667 59419\n61393 92083\n86431 100000\n27440 41050\n82221 100000\n98487 100000\n66077 99113\n93169 100000\n71590 100000\n53834 80707\n5096 7589\n56163 84175\n99741 100000\n178 260\n51443 77114\n49039 73496\n89382 100000\n56244 84297\n69952 100000\n9904 14782\n81688 100000\n30958 46325\n89778 100000\n39529 59228\n45123 67595\n84649 100000\n51941 77857\n35304 52815\n58300 87393\n7264 10829\n75782 100000\n35284 52788\n11865 17750\n94052 100000\n41070 61558\n64402 96578\n72451 100000\n80100 100000\n44934 67303\n14034 20974\n56372 84490\n74175 100000\n19612 29334\n12922 19324\n98638 100000\n46729 70027\n59333 88934\n49319 73922\n61300 91939\n85188 100000\n62101 93155\n23484 35152\n38880 58235\n45583 68285\n80888 100000\n7927 11806\n88735 100000\n76755 100000\n77335 100000\n25904 38768\n77330 100000\n23539 35232\n59183 88708\n95795 100000\n21981 32886\n11850 17726\n44479 66628\n21539 32218\n28265 42276\n80222 100000\n39564 59274\n15679 23439\n31114 46547\n43436 65098\n45821 68647\n81290 100000\n33901 50711\n60964 91425\n38780 58086\n71982 100000\n51697 77496\n1654 2460\n63682 95491\n83723 100000\n85814 100000\n4578 6806\n54648 81908\n19198 28705\n66829 100000\n18603 27805\n56784 85116\n26978 40376\n23915 35794\n52433 78596\n55832 83674\n32383 48451\n29437 44012\n64610 96885\n61913 92871\n3473 5159\n76049 100000\n23677 35440\n16380 24480\n12252 18333\n75178 100000\n50344 75468\n9422 14053\n9915 14800\n42801 64127\n10659 15899\n95400 100000\n18736 28014\n20208 30197\n34507 51633\n54342 81460\n84197 100000\n87079 100000\n92418 100000\n88557 100000\n96793 100000\n12576 18802\n42849 64204\n75529 100000\n14059 21008\n27674 41396\n75466 100000\n3772 5608\n68201 100000\n46934 70338\n37017 55435\n50827 76189\n54356 81480\n63428 95124\n53735 80558\n84141 100000\n6496 9681\n49033 73485\n57294 85862\n34055 50938\n89196 100000\n93587 100000\n94272 100000\n92984 100000\n12529 18732\n81810 100000\n38961 58348\n18511 27670\n72411 100000\n77439 100000\n52319 78423\n44492 66649\n54888 82268\n62329 93487\n4553 6767\n30101 45022\n28815 43087\n61365 92044\n19498 29158\n59311 88904\n81125 100000\n80652 100000\n82483 100000\n82977 100000\n94001 100000\n301 443\n64398 96572\n15191 22693\n87774 100000\n75807 100000\n58838 88201\n2955 4411\n31575 47250\n16739 25011\n15073 22519\n17763 26551\n83795 100000\n27048 40470\n11678 17456\n62916 94361\n83828 100000\n99761 100000\n81579 100000\n46730 70029\n36568 54761\n2948 4402\n73258 100000\n3309 4924\n23036 34488\n85265 100000\n97172 100000\n87682 100000\n80029 100000\n55552 83257\n67571 100000\n61568 92341\n53508 80211\n44941 67315\n66153 99225\n72753 100000\n85589 100000\n68486 100000\n14804 22117\n40442 60585\n83202 100000\n27378 40962\n46757 70067\n56599 84834\n35515 53153\n55894 83770\n94647 100000\n34767 52009\n51708 77513\n90539 100000\n67908 100000\n77751 100000\n41802 62635\n30497 45613\n29093 43496\n37369 55971\n98316 100000\n81627 100000\n33416 49981\n20427 30542\n27773 41537\n65177 97747\n88062 100000\n75843 100000\n16489 24645\n79045 100000\n81665 100000\n13434 20089\n73367 100000\n46890 70271\n11456 17108\n89164 100000\n11199 16715\n74646 100000\n26000 38916\n27365 40940\n62369 93546\n45064 67497\n94060 100000\n8872 13229\n21215 31729\n47165 70693\n20154 30119\n65603 98404\n55760 83560\n98741 100000\n92940 100000\n94718 100000\n14916 22291\n24878 37240\n25895 38755\n52833 79213\n86806 100000\n80199 100000\n8004 11915\n80310 100000\n53715 80525\n94322 100000\n73780 100000\n55342 82943\n96692 100000\n55029 82480\n89476 100000\n72384 100000\n46502 69684\n79624 100000\n11542 17244\n37719 56498\n43892 65783\n76391 100000\n19484 29136\n58072 87046\n17515 26178\n29328 43845\n57744 86554\n40425 60562\n61008 91489\n31097 46520\n18243 27268\n52065 78042\n11285 16847\n81466 100000\n9434 14070\n43940 65853\n51067 76552\n40741 61056\n66464 99695\n56848 85210\n86036 100000\n16839 25157\n827 1238\n66264 99391\n18647 27872\n44053 66016\n13658 20412\n12654 18922\n4441 6607\n82438 100000\n48647 72903\n38769 58071\n99694 100000\n17143 25612\n62082 93126\n78736 100000\n33958 50798\n81765 100000\n20430 30546\n3241 4830\n48273 72352\n50238 75305\n17417 26031\n50693 75984\n42278 63353\n76089 100000\n33606 50266\n26964 40353\n21448 32080\n64067 96078\n47585 71323\n62002 93003\n77679 100000\n17850 26694\n15701 23470\n81004 100000\n10863 16206\n17774 26568\n926 1387\n28708 42926\n85412 100000\n95236 100000\n74934 100000\n67851 100000\n31988 47870\n13423 20073\n2861 4268\n90511 100000\n20643 30871\n18065 27004\n27706 41442\n23688 35455\n9984 14902\n76114 100000\n59814 89678\n59885 89775\n30859 46174\n9807 14636\n43122 64618\n20072 30000\n15428 23054\n68238 100000\n93231 100000\n34128 51055\n93683 100000\n96082 100000\n53094 79599\n67153 100000\n12213 18269\n35682 53400\n23894 35762\n19806 29618\n78831 100000\n21356 31940\n64842 97237\n92112 100000\n95079 100000\n60512 90741\n71566 100000\n60069 90064\n93828 100000\n9978 14893\n85339 100000\n73111 100000\n93898 100000\n2062 3091\n4166 6198\n74441 100000\n7334 10936\n27418 41022\n976 1459\n1243 1860\n4395 6534\n21992 32904\n22793 34118\n1124 1682\n66923 100000\n15562 23262\n45395 68008\n14811 22128\n94712 100000\n71617 100000\n2093 3139\n59072 88543\n97417 100000\n51333 76951\n89181 100000\n99470 100000\n28569 42715\n28152 42107\n85058 100000\n15433 23064\n51150 76675\n2046 3066\n69410 100000\n17019 25428\n44000 65937\n25010 37436\n86108 100000\n99722 100000\n69931 100000\n58764 88086\n35191 52650\n62505 93745\n13144 19660\n59513 89207\n25216 37747\n63516 95251\n36580 54781\n71856 100000\n30389 45452\n47268 70845\n13973 20882\n52383 78516\n89568 100000\n75092 100000\n75428 100000\n80537 100000\n54968 82392\n22791 34114\n71501 100000\n44383 66492\n29511 44125\n94462 100000\n33539 50169\n68756 100000\n73773 100000\n82648 100000\n58695 87984\n66079 99117\n39706 59480\n35237 52720\n85897 100000\n2536 3801\n69188 100000\n55533 83231\n4206 6256\n9609 14334\n90792 100000\n25900 38763\n89469 100000\n21078 31519\n40481 60641\n27481 41113\n88597 100000\n74112 100000\n68747 100000\n16313 24384\n75398 100000\n66447 99667\n36341 54416\n25066 37522\n2228 3333\n3095 4612\n26342 39435\n25947 38837\n18366 27456\n76432 100000\n22442 33590\n99546 100000\n30513 45635\n22235 33271\n96677 100000\n91370 100000\n62663 93980\n89709 100000\n23075 34540\n33114 49536\n34569 51720\n9467 14120\n50209 75262\n78462 100000\n46274 69328\n95594 100000\n12612 18857\n79999 100000\n19354 28948\n28337 42386\n59235 88785\n98879 100000\n44590 66795\n88997 100000\n61078 91597\n75026 100000\n56107 84089\n16719 24981\n9437 14075\n10823 16143\n58595 87832\n56398 84532\n54048 81017\n42193 63225\n19940 29813\n98241 100000\n86624 100000\n44205 66245\n42200 63237\n27950 41799\n70444 100000\n23561 35265\n24124 36101\n61485 92220\n39579 59294\n24934 37317\n1902 2849\n3869 5746\n28312 42343\n69458 100000\n28791 43049\n94623 100000\n67130 100000\n13390 20018\n70336 100000\n23306 34893\n64155 96207\n41197 61748\n99836 100000\n86176 100000\n57400 86025\n40404 60530\n73346 100000\n46419 69557\n65163 97723\n69368 100000\n85439 100000\n5252 7821\n30016 44898\n37996 56906\n63850 95755\n6620 9859\n4771 7091\n95527 100000\n27829 41625\n37929 56806\n71879 100000\n78152 100000\n29866 44669\n79249 100000\n57579 86297\n88565 100000\n40591 60825\n2139 3203\n16582 24780\n1248 1867\n30375 45429\n28331 42376\n59656 89431\n72359 100000\n62008 93012\n28751 42991\n21344 31923\n7470 11138\n85448 100000\n11793 17636\n78282 100000\n63713 95537\n75485 100000\n22751 34050\n49220 73776\n81899 100000\n35486 53105\n71010 100000\n41319 61916\n24168 36169\n61288 91920\n13170 19698\n63565 95322\n18739 28019\n59188 88715\n15353 22937\n95191 100000\n97942 100000\n16114 24092\n41208 61765\n25625 38352\n70362 100000\n71069 100000\n86279 100000\n23501 35178\n20264 30280\n94921 100000\n13190 19728\n62464 93681\n68039 100000\n19217 28733\n72752 100000\n56426 84572\n44254 66309\n39613 59345\n20252 30262\n11215 16738\n92560 100000\n86809 100000\n53864 80749\n53677 80468\n77988 100000\n73550 100000\n67342 100000\n15068 22512\n76172 100000\n64652 96949\n71646 100000\n77022 100000\n59655 89429\n15731 23515\n70904 100000\n98211 100000\n64744 97084\n98688 100000\n95957 100000\n46356 69455\n34768 52011\n44685 66937\n89907 100000\n31805 47594\n55345 82948\n56129 84122\n16799 25097\n7444 11101\n27904 41731\n9474 14130\n57838 86690\n95871 100000\n2353 3523\n11537 17237\n55553 83258\n89750 100000\n78015 100000\n43021 64472\n21574 32270\n15418 23036\n31044 46442\n70408 100000\n29617 44293\n47058 70527\n50762 76092\n54924 82322\n18398 27502\n81993 100000\n83382 100000\n12926 19330\n42707 63988\n49375 74011\n24021 35949\n2460 3682\n28991 43343\n72111 100000\n88199 100000\n64561 96812\n94885 100000\n27949 41798\n65506 98261\n36413 54523\n75219 100000\n81331 100000\n79111 100000\n81590 100000\n88213 100000\n7393 11026\n3591 5336\n35078 52478\n3 5\n19888 29737\n25875 38729\n4248 6319\n49584 74333\n82986 100000\n94353 100000\n67378 100000\n83677 100000\n87501 100000\n87190 100000\n25715 38489\n56771 85092\n87600 100000\n90769 100000\n90282 100000\n27506 41148\n71845 100000\n41058 61541\n75392 100000\n25005 37429\n66439 99654\n55601 83325\n21955 32848\n98498 100000\n93928 100000\n97252 100000\n67546 100000\n64643 96935\n22259 33308\n38106 57074\n50404 75559\n5357 7980\n92235 100000\n365 535\n79331 100000\n71749 100000\n27794 41570\n47141 70657\n24258 36308\n22776 34092\n32550 48688\n12788 19126\n64549 96795\n88869 100000\n3618 5374\n3458 5137\n88683 100000\n86792 100000\n58497 87687\n74236 100000\n24462 36625\n2357 3527\n35114 52533\n37517 56196\n8464 12603\n2002 2999\n14917 22293\n34839 52116\n34939 52269\n3556 5286\n37860 56701\n43528 65238\n16645 24872\n18223 27237\n11864 17748\n75115 100000\n34189 51143\n87088 100000\n65852 98770\n81601 100000\n12120 18138\n25191 37704\n56933 85338\n66902 100000\n81069 100000\n52010 77958\n33921 50745\n63022 94518\n79514 100000\n53589 80335\n41318 61914\n3624 5384\n1819 2716\n68718 100000\n54728 82033\n29871 44677\n54533 81749\n37190 55696\n13931 20820\n41822 62667\n5770 8588\n33899 50708\n80533 100000\n30992 46369\n92994 100000\n43194 64715\n22492 33664\n73199 100000\n13953 20853\n95032 100000\n53344 79971\n78233 100000\n98431 100000\n26993 40395\n15652 23398\n92573 100000\n81309 100000\n2781 4145\n26452 39602\n45497 68159\n66590 99881\n16125 24106\n73468 100000\n18133 27104\n94232 100000\n68944 100000\n75723 100000\n61778 92665\n27880 41696\n44502 66666\n43895 65788\n30570 45723\n32299 48334\n23994 35910\n3418 5078\n53655 80435\n141 206\n97243 100000\n21702 32465\n96206 100000\n493 734\n1785 2668\n15427 23053\n92986 100000\n40232 60271\n23059 34519\n49006 73443\n88761 100000\n1960 2935\n62778 94150\n18378 27473\n56743 85054\n39576 59291\n52447 78617\n56734 85039\n29596 44257\n44598 66807\n14120 21100\n43488 65177\n66751 100000\n73372 100000\n65585 98377\n93092 100000\n28625 42800\n76765 100000\n85128 100000\n9286 13846\n59332 88932\n60938 91386\n79629 100000\n55014 82455\n59539 89247\n98169 100000\n6444 9603\n19431 29056\n56298 84380\n16829 25142\n90695 100000\n88682 100000\n78422 100000\n12444 18608\n67884 100000\n40263 60318\n97880 100000\n39047 58480\n37058 55494\n74182 100000\n70903 100000\n35690 53412\n21944 32833\n36664 54908\n13776 20595\n59797 89650\n18472 27609\n69937 100000\n42860 64220\n45113 67579\n75022 100000\n81787 100000\n35240 52726\n62188 93280\n54054 81027\n71118 100000\n38834 58166\n7322 10921\n84890 100000\n32701 48907\n31369 46935\n57645 86401\n49403 74056\n60022 89988\n89516 100000\n42435 63591\n93676 100000\n34471 51578\n79346 100000\n73328 100000\n80227 100000\n69033 100000\n96348 100000\n1529 2280\n19652 29390\n39081 58533\n47524 71232\n19424 29046\n23288 34863\n30373 45427\n34215 51183\n49582 74330\n98041 100000\n92073 100000\n90610 100000\n59389 89017\n66592 99884\n89352 100000\n43277 64850\n29656 44351\n92382 100000\n9005 13430\n49687 74487\n92894 100000\n84617 100000\n75737 100000\n8658 12901\n23903 35775\n56139 84139\n51324 76937\n28984 43331\n29491 44093\n8545 12737\n41702 62485\n94989 100000\n36982 55382\n77998 100000\n18787 28084\n61250 91861\n33648 50328\n99150 100000\n95557 100000\n96385 100000\n22323 33408\n22663 33918\n41989 62924\n12084 18083\n44835 67147\n74698 100000\n41442 62107\n71506 100000\n97128 100000\n47243 70811\n81659 100000\n2805 4184\n72155 100000\n99287 100000\n17057 25485\n5935 8841\n40279 60340\n19422 29042\n47275 70857\n26207 39229\n89017 100000\n22888 34266\n74383 100000\n52416 78569\n87469 100000\n14213 21235\n17278 25813\n60754 91113\n16684 24928\n49952 74886\n62587 93861\n51608 77360\n44124 66124\n70272 100000\n31069 46481\n46926 70326\n51614 77369\n20180 30157\n12736 19045\n68720 100000\n50470 75651\n96305 100000\n63255 94871\n32876 49174\n99953 100000\n25753 38541\n79359 100000\n2747 4096\n74096 100000\n46295 69363\n76806 100000\n58908 88297\n81565 100000\n86087 100000\n32870 49165\n54453 81624\n73396 100000\n44472 66619\n95414 100000\n43227 64766\n74320 100000\n56899 85289\n43463 65141\n33041 49424\n49544 74271\n39900 59768\n63877 95795\n60424 90610\n47584 71321\n65524 98285\n2314 3464\n2438 3648\n4424 6581\n33971 50817\n75413 100000\n40865 61249\n23379 34992\n51744 77567\n83172 100000\n49121 73626\n33603 50262\n35255 52746\n47326 70933\n48727 73019\n96885 100000\n47349 70969\n65035 97524\n45356 67950\n58455 87622\n36476 54618\n30152 45097\n1972 2953\n35939 53798\n84957 100000\n60752 91110\n64524 96757\n50626 75875\n7891 11755\n14494 21652\n2122 3180\n98048 100000\n90764 100000\n57017 85458\n23608 35336\n71213 100000\n89359 100000\n6499 9687\n73640 100000\n60515 90747\n35885 53715\n4923 7323\n40693 60979\n85267 100000\n39966 59869\n19149 28632\n21567 32262\n86290 100000\n43602 65350\n41872 62744\n60355 90503\n91284 100000\n74324 100000\n90957 100000\n54290 81383\n10962 16358\n7063 10527\n57228 85766\n7179 10708\n29048 43433\n19361 28956\n95971 100000\n58076 87053\n78040 100000\n5083 7570\n45880 68736\n35397 52959\n39253 58797\n13654 20407\n25840 38677\n33976 50824\n41116 61627\n99513 100000\n28488 42601\n38405 57527\n709 1060\n33663 50354\n20044 29958\n19904 29757\n7424 11073\n36389 54493\n3747 5572\n65765 98645\n64477 96685\n39094 58552\n21160 31645\n6898 10284\n57172 85683\n84089 100000\n63954 95916\n56619 84865\n87985 100000\n55950 83858\n7549 11256\n24547 36755\n50371 75509\n10820 16140\n71452 100000\n49922 74842\n35182 52635\n28136 42083\n57535 86233\n16020 23952\n37465 56120\n36433 54554\n57246 85795\n87382 100000\n5772 8591\n1698 2532\n28590 42744\n24556 36766\n34303 51322\n50145 75169\n53343 79970\n9385 13997\n41737 62538\n62793 94171\n53207 79765\n31179 46640\n70686 100000\n38420 57552\n16580 24777\n12802 19149\n37098 55559\n37943 56823\n49803 74660\n94496 100000\n1653 2458\n9567 14275\n46334 69419\n56263 84323\n71306 100000\n24749 37050\n86825 100000\n62365 93540\n36258 54294\n25365 37965\n79515 100000\n33291 49797\n91091 100000\n66822 100000\n34698 51912\n73709 100000\n85731 100000\n71178 100000\n86814 100000\n10756 16046\n34117 51038\n70487 100000\n17591 26290\n57966 86887\n19803 29613\n9856 14712\n80370 100000\n92351 100000\n83961 100000\n619 925\n61923 92884\n91061 100000\n77366 100000\n94906 100000\n9817 14652\n12776 19106\n25908 38774\n85909 100000\n40717 61019\n10522 15704\n34116 51037\n16037 23977\n28901 43208\n95697 100000\n56885 85268\n37490 56156\n33387 49940\n68315 100000\n65212 97798\n21503 32161\n78211 100000\n61319 91970\n94934 100000\n71536 100000\n12235 18304\n19538 29219\n73654 100000\n91348 100000\n37798 56610\n26922 40290\n69450 100000\n11439 17078\n56652 84913\n50633 75885\n98629 100000\n45213 67734\n59372 88994\n77434 100000\n53171 79710\n15085 22537\n10817 16137\n42875 64241\n69381 100000\n50714 76018\n66053 99075\n60054 90041\n24476 36645\n7584 11307\n43 63\n14419 21536\n64661 96963\n79165 100000\n29184 43632\n57536 86234\n30915 46261\n76877 100000\n57582 86302\n77113 100000\n78460 100000\n30395 45460\n78348 100000\n36172 54162\n64523 96755\n33965 50810\n49465 74151\n59471 89144\n50002 74964\n77428 100000\n83363 100000\n40320 60404\n93052 100000\n42841 64190\n19281 28835\n92180 100000\n97992 100000\n18261 27296\n85299 100000\n43075 64551\n50883 76273\n66601 99899\n38081 57039\n44647 66873\n67393 100000\n6383 9514\n47755 71574\n80189 100000\n17695 26453\n79416 100000\n81230 100000\n5729 8529\n26324 39409\n55753 83547\n42563 63778\n84468 100000\n76123 100000\n51207 76764\n18437 27558\n75764 100000\n22668 33926\n6179 9218\n69549 100000\n58421 87572\n22824 34165\n64517 96746\n99794 100000\n51919 77825\n32896 49207\n86302 100000\n76780 100000\n1751 2612\n56112 84098\n84528 100000\n53283 79879\n15625 23356\n3616 5371\n90462 100000\n53894 80794\n1618 2405\n87238 100000\n44567 66761\n32225 48223\n44903 67255\n85587 100000\n69617 100000\n969 1449\n12664 18937\n54033 80997\n3856 5725\n80935 100000\n62638 93943\n12516 18713\n51898 77792\n40168 60170\n49893 74797\n36749 55039\n93536 100000\n72794 100000\n73901 100000\n54472 81652\n82376 100000\n48511 72704\n49166 73694\n22260 33310\n85705 100000\n84003 100000\n64950 97395\n93600 100000\n30330 45360\n25259 37809\n47901 71797\n31772 47542\n27359 40932\n53662 80444\n35594 53271\n84679 100000\n41777 62599\n33492 50098\n54791 82126\n69024 100000\n63555 95309\n85486 100000\n92570 100000\n66388 99581\n14522 21693\n59980 89920\n70890 100000\n97225 100000\n37417 56042\n28245 42246\n99340 100000\n28722 42948\n90283 100000\n22240 33279\n78025 100000\n35585 53259\n84434 100000\n62980 94454\n3230 4812\n2193 3283\n88751 100000\n16623 24839\n82420 100000\n89464 100000\n75190 100000\n36116 54077\n71549 100000\n71581 100000\n44380 66487\n51647 77417\n54707 82000\n93498 100000\n17482 26132\n24424 36567\n80988 100000\n87528 100000\n92615 100000\n36198 54204\n71149 100000\n32145 48102\n49203 73753\n63757 95609\n1323 1982\n59705 89508\n9948 14848\n59748 89568\n72787 100000\n83564 100000\n689 1033\n81438 100000\n98784 100000\n62177 93265\n59904 89802\n74527 100000\n15845 23690\n56148 84154\n22754 34054\n76435 100000\n84038 100000\n82662 100000\n53141 79667\n39496 59173\n79010 100000\n12606 18847\n92307 100000\n39703 59474\n6665 9922\n39976 59885\n40525 60716\n70857 100000\n8504 12668\n49833 74708\n51644 77412\n77693 100000\n22608 33836\n71179 100000\n79679 100000\n66707 100000\n1666 2481\n47484 71169\n3607 5357\n29337 43860\n33133 49568\n71677 100000\n29568 44212\n93923 100000\n95734 100000\n59058 88523\n65061 97559\n49234 73797\n39138 58623\n28990 43342\n1948 2916\n10873 16223\n11234 16770\n13312 19907\n37766 56565\n62567 93833\n6688 9957\n67248 100000\n72634 100000\n43035 64493\n9627 14361\n56387 84515\n30950 46313\n60924 91362\n73604 100000\n97789 100000\n80562 100000\n70466 100000\n78114 100000\n9876 14740\n8381 12477\n98486 100000\n67863 100000\n17828 26659\n98393 100000\n87140 100000\n48669 72938\n42622 63860\n5123 7630\n2961 4419\n96683 100000\n80754 100000\n19091 28546\n86956 100000\n20338 30403\n23411 35041\n64974 97431\n51721 77530\n80957 100000\n57507 86190\n47315 70920\n81042 100000\n33612 50275\n78179 100000\n3193 4758\n83000 100000\n45348 67940\n55077 82548\n25117 37597\n99318 100000\n57788 86616\n70237 100000\n66028 99037\n17526 26195\n30980 46352\n20028 29935\n62792 94170\n95969 100000\n87314 100000\n53620 80381\n87524 100000\n3240 4828\n38480 57643\n76042 100000\n27693 41424\n56677 84953\n54715 82011\n4269 6348\n98107 100000\n61455 92175\n52973 79430\n79551 100000\n61231 91826\n69100 100000\n84488 100000\n67676 100000\n69651 100000\n92705 100000\n79274 100000\n16532 24712\n52205 78255\n75182 100000\n87763 100000\n93025 100000\n91901 100000\n50390 75540\n21597 32304\n95113 100000\n32678 48875\n41903 62790\n77350 100000\n50792 76139\n48917 73310\n57153 85658\n80882 100000\n24188 36203\n40044 59988\n52066 78043\n50895 76292\n84590 100000\n91528 100000\n38109 57077\n73097 100000\n69447 100000\n70915 100000\n20584 30779\n41262 61838\n40482 60643\n17314 25869\n79851 100000\n25176 37680\n17265 25794\n12996 19430\n68613 100000\n55466 83132\n32451 48553\n8880 13243\n80688 100000\n93815 100000\n15328 22899\n33059 49454\n15744 23535\n44131 66135\n10216 15243\n83740 100000\n13614 20354\n73228 100000\n54779 82108\n60212 90285\n29978 44843\n22372 33486\n12338 18453\n64881 97292\n23225 34764\n66551 99823\n81753 100000\n31192 46661\n48694 72969\n3107 4630\n22462 33618\n50389 75539\n32945 49281\n51011 76469\n81238 100000\n21498 32153\n71767 100000\n24196 36216\n80167 100000\n22512 33692\n94777 100000\n35038 52423\n77058 100000\n75942 100000\n85887 100000\n65791 98680\n31290 46813\n52550 78771\n43941 65854\n77669 100000\n39958 59857\n97898 100000\n93270 100000\n47734 71540\n81209 100000\n35640 53336\n70296 100000\n80586 100000\n28560 42702\n44998 67402\n20506 30661\n58249 87313\n57676 86451\n4638 6896\n8298 12350\n96191 100000\n92571 100000\n17323 25884\n5187 7729\n65548 98321\n74212 100000\n75575 100000\n61644 92459\n97738 100000\n76937 100000\n3875 5755\n79211 100000\n52839 79223\n36023 53923\n75588 100000\n37318 55894\n36919 55289\n35371 52919\n65287 97916\n93290 100000\n80461 100000\n56553 84771\n95721 100000\n50931 76347\n86221 100000\n79500 100000\n99102 100000\n53253 79838\n18842 28171\n92786 100000\n70641 100000\n76107 100000\n19348 28936\n20200 30185\n6915 10310\n28418 42507\n47064 70537\n99683 100000\n27030 40447\n82466 100000\n63750 95598\n76451 100000\n72577 100000\n17024 25436\n8660 12903\n36743 55028\n19578 29284\n39485 59156\n48804 73141\n82496 100000\n54926 82325\n71154 100000\n34027 50903\n85365 100000\n71241 100000\n89561 100000\n82294 100000\n28500 42617\n77650 100000\n39187 58697\n50407 75565\n78112 100000\n25913 38782\n19112 28580\n75532 100000\n51755 77583\n22658 33911\n92541 100000\n59006 88445\n27150 40633\n75558 100000\n85606 100000\n78975 100000\n55382 83003\n57780 86605\n55188 82713\n92273 100000\n15161 22649\n67557 100000\n65563 98344\n38871 58222\n4216 6270\n9482 14140\n13065 19540\n45537 68218\n38230 57254\n76962 100000\n55751 83543\n91116 100000\n6398 9537\n29677 44384\n55130 82623\n11672 17447\n56724 85025\n70744 100000\n18809 28121\n20521 30682\n2965 4423\n80998 100000\n1729 2577\n61811 92714\n61030 91522\n48255 72325\n86015 100000\n95492 100000\n23138 34634\n16139 24130\n94253 100000\n92700 100000\n15453 23095\n45049 67470\n55104 82587\n19582 29291\n94605 100000\n87069 100000\n71141 100000\n11418 17044\n54967 82391\n50940 76360\n99284 100000\n97921 100000\n76179 100000\n88759 100000\n26389 39507\n17086 25529\n47919 71826\n2543 3811\n11351 16945\n3720 5534\n17661 26400\n85045 100000\n26043 38974\n82054 100000\n34430 51519\n74120 100000\n62738 94089\n14764 22056\n39164 58663\n69946 100000\n6704 9981\n34233 51212\n3531 5246\n55611 83340\n82511 100000\n12621 18872\n56828 85181\n86472 100000\n26378 39492\n94481 100000\n9442 14085\n17653 26385\n83411 100000\n91998 100000\n38302 57364\n63087 94622\n21111 31570\n7502 11187\n24086 36046\n20731 31003\n21748 32530\n41362 61981\n84015 100000\n229 341\n74169 100000\n56651 84911\n70532 100000\n13918 20801\n97161 100000\n59402 89037\n3888 5775\n76126 100000\n76504 100000\n80204 100000\n60989 91460\n14712 21980\n64429 96617\n53801 80657\n76834 100000\n3223 4801\n78128 100000\n77370 100000\n65365 98045\n61869 92802\n33337 49863\n60910 91343\n71764 100000\n35456 53059\n61647 92463\n29522 44142\n93350 100000\n96596 100000\n47224 70783\n94786 100000\n81941 100000\n89703 100000\n97317 100000\n82457 100000\n53598 80349\n8956 13356\n80739 100000\n44984 67382\n81699 100000\n89800 100000\n81539 100000\n43348 64957\n89184 100000\n1709 2549\n6491 9674\n69947 100000\n52885 79291\n47810 71659\n78686 100000\n37594 56312\n61834 92745\n64357 96507\n95508 100000\n31750 47510\n32696 48901\n23135 34628\n7828 11660\n57132 85626\n10950 16341\n30541 45679\n63523 95262\n62494 93727\n84946 100000\n33746 50481\n56349 84455\n63343 95002\n15385 22985\n66854 100000\n34445 51540\n20966 31350\n71340 100000\n41797 62626\n41129 61645\n3717 5529\n52019 77969\n87604 100000\n24571 36788\n37547 56240\n70541 100000\n32077 47997\n84208 100000\n12184 18228\n17976 26873\n27113 40578\n79945 100000\n36630 54859\n1934 2892\n67741 100000\n89812 100000\n67521 100000\n33804 50565\n84385 100000\n12171 18209\n44364 66466\n11451 17099\n52558 78782\n35948 53809\n71989 100000\n18538 27712\n70197 100000\n62604 93890\n80640 100000\n20518 30678\n84222 100000\n86008 100000\n37376 55984\n85027 100000\n40109 60084\n84877 100000\n69068 100000\n95579 100000\n25008 37433\n5660 8424\n18733 28010\n71529 100000\n71955 100000\n30279 45289\n10055 15012\n29494 44098\n69942 100000\n25833 38668\n8646 12882\n22886 34263\n59268 88840\n66529 99789\n73909 100000\n85860 100000\n6226 9287\n85153 100000\n11745 17561\n71973 100000\n19863 29704\n99206 100000\n28663 42855\n51871 77751\n64791 97158\n8682 12937\n96324 100000\n82057 100000\n26625 39860\n95207 100000\n40414 60542\n33331 49853\n14195 21206\n30809 46095\n82878 100000\n24421 36562\n32950 49289\n58562 87781\n23174 34685\n17576 26268\n67227 100000\n93400 100000\n78138 100000\n25370 37971\n2326 3483\n40558 60772\n26375 39488\n30162 45111\n15995 23919\n37361 55957\n43185 64702\n9349 13941\n83226 100000\n62490 93721\n87852 100000\n61519 92270\n33931 50759\n62100 93153\n3306 4920\n81818 100000\n36758 55051\n24888 37253\n76903 100000\n18306 27365\n13514 20208\n4633 6888\n61361 92038\n77921 100000\n64132 96171\n51229 76797\n78735 100000\n93322 100000\n99159 100000\n1621 2410\n33952 50791\n15160 22648\n42444 63603\n50677 75959\n88339 100000\n92797 100000\n57438 86085\n37643 56386\n3778 5616\n14790 22094\n46473 69639\n96218 100000\n32647 48827\n76412 100000\n92105 100000\n32766 49005\n21548 32234\n75297 100000\n48843 73197\n23668 35425\n49969 74913\n92932 100000\n90996 100000\n68970 100000\n77558 100000\n97327 100000\n13051 19517\n84245 100000\n42734 64031\n26761 40058\n58402 87544\n48692 72967\n57537 86235\n30341 45374\n77615 100000\n82482 100000\n21308 31871\n79026 100000\n84761 100000\n75042 100000\n99518 100000\n75009 100000\n9700 14470\n7923 11801\n28057 41960\n54586 81821\n54972 82397\n12054 18041\n12162 18196\n73241 100000\n57586 86308\n16386 24490\n91203 100000\n2143 3209\n27162 40649\n81936 100000\n62354 93525\n43069 64542\n54808 82152\n52030 77988\n91499 100000\n93688 100000\n49813 74674\n51279 76871\n19289 28843\n71734 100000\n87631 100000\n16706 24961\n14169 21173\n56457 84619\n9837 14685\n83585 100000\n73365 100000\n19808 29622\n15880 23743\n90871 100000\n37809 56622\n11577 17297\n19902 29754\n51886 77773\n80581 100000\n53352 79981\n60610 90891\n92831 100000\n49001 73437\n26509 39681\n91079 100000\n16616 24831\n97274 100000\n91222 100000\n58062 87033\n62228 93341\n68200 100000\n31915 47757\n48119 72127\n57388 86006\n75047 100000\n47448 71116\n29539 44168\n89915 100000\n12091 18094\n59728 89541\n40339 60434\n22553 33754\n97369 100000\n7758 11564\n7295 10879\n14571 21767\n98491 100000\n98221 100000\n63789 95662\n9776 14586\n77082 100000\n6222 9280\n65216 97804\n91709 100000\n9049 13497\n79982 100000\n33557 50193\n96778 100000\n57341 85936\n24940 37327\n5572 8296\n9744 14538\n55605 83332\n19512 29180\n75632 100000\n98608 100000\n5979 8903\n79650 100000\n66949 100000\n8210 12220\n42235 63289\n11813 17665\n61891 92839\n44501 66665\n26932 40304\n30866 46187\n38842 58177\n13381 20006\n67346 100000\n51932 77845\n66338 99504\n41570 62293\n95959 100000\n91552 100000\n71771 100000\n40549 60757\n36666 54910\n22997 34432\n66565 99844\n64282 96396\n48196 72238\n48346 72457\n22493 33666\n2563 3841\n24297 36366\n83555 100000\n52674 78966\n68175 100000\n40201 60222\n96787 100000\n23099 34576\n86861 100000\n1735 2587\n41507 62204\n15213 22728\n76125 100000\n41321 61920\n63326 94977\n38796 58110\n43000 64438\n55975 83893\n46039 68979\n95025 100000\n2412 3612\n710 1061\n87784 100000\n80976 100000\n27696 41428\n72594 100000\n82378 100000\n75158 100000\n87582 100000\n87929 100000\n14030 20969\n68794 100000\n26221 39251\n81312 100000\n23327 34919\n8785 13091\n90823 100000\n67106 100000\n759 1136\n70044 100000\n51191 76741\n56534 84743\n68526 100000\n53861 80744\n73360 100000\n82669 100000\n40747 61066\n20865 31201\n85067 100000\n17975 26871\n97193 100000\n19482 29132\n87383 100000\n61757 92635\n42375 63497\n79493 100000\n4237 6301\n43407 65054\n26630 39867\n23106 34587\n7553 11262\n92396 100000\n74415 100000\n71059 100000\n55833 83675\n39727 59510\n89423 100000\n3823 5680\n2564 3843\n49040 73497\n88686 100000\n70393 100000\n53529 80239\n78878 100000\n57490 86167\n14948 22340\n39840 59684\n2614 3911\n99946 100000\n16555 24744\n69662 100000\n19059 28499\n35768 53534\n47219 70776\n49747 74573\n47175 70707\n3782 5622\n39695 59463\n66889 100000\n46237 69273\n25968 38869\n17075 25511\n90038 100000\n99221 100000\n68616 100000\n65419 98129\n95919 100000\n38021 56944\n81188 100000\n23548 35246\n74819 100000\n16480 24631\n68859 100000\n22577 33791\n21063 31494\n18467 27603\n81624 100000\n32967 49310\n69077 100000\n76047 100000\n95318 100000\n72064 100000\n34594 51758\n33127 49560\n17160 25637\n68836 100000\n25768 38567\n64885 97298\n64043 96044\n48855 73213\n86922 100000\n94984 100000\n16726 24992\n12348 18468\n98430 100000\n93710 100000\n90809 100000\n25478 38134\n12326 18438\n29647 44336\n81976 100000\n28423 42514\n97124 100000\n2092 3138\n22489 33658\n73053 100000\n4710 7000\n52231 78293\n13191 19730\n31407 46993\n606 905\n96451 100000\n45620 68344\n10138 15130\n85295 100000\n33934 50764\n58126 87127\n10380 15494\n10734 16012\n10845 16179\n14892 22255\n18199 27202\n70053 100000\n25623 38349\n16729 24996\n63342 95000\n92663 100000\n17396 26001\n74249 100000\n59865 89749\n16673 24913\n57795 86626\n41883 62761\n49231 73792\n88925 100000\n60857 91263\n2523 3778\n49705 74510\n32902 49215\n77382 100000\n68170 100000\n8077 12017\n66155 99229\n38887 58246\n2336 3499\n24317 36400\n5540 8255\n58903 88292\n52506 78706\n58999 88437\n84849 100000\n88915 100000\n25911 38779\n27505 41147\n97052 100000\n49019 73463\n58302 87397\n37709 56483\n64775 97134\n81124 100000\n2235 3342\n5824 8671\n80390 100000\n50435 75601\n30549 45690\n59330 88929\n45416 68039\n13281 19857\n19048 28480\n57522 86213\n83606 100000\n39458 59119\n51148 76671\n29376 43920\n46245 69287\n14010 20938\n3463 5145\n10511 15688\n76430 100000\n64853 97253\n5338 7948\n25608 38329\n48935 73341\n23600 35323\n45548 68236\n82567 100000\n2739 4084\n50853 76229\n28322 42360\n76079 100000\n94681 100000\n73288 100000\n22038 32972\n87817 100000\n13652 20405\n34216 51184\n16441 24570\n80848 100000\n29923 44756\n15100 22559\n40472 60628\n95349 100000\n40830 61200\n96403 100000\n42703 63983\n22342 33441\n44068 66039\n92512 100000\n2152 3222\n85944 100000\n263 388\n62709 94047\n78089 100000\n32670 48862\n9982 14898\n96192 100000\n44491 66648\n38923 58291\n69523 100000\n15008 22424\n65388 98079\n6493 9677\n22361 33470\n93419 100000\n16666 24902\n46234 69269\n82304 100000\n84614 100000\n44223 66267\n94015 100000\n71952 100000\n9220 13745\n85341 100000\n65644 98462\n20093 30032\n20940 31312\n68979 100000\n46146 69142\n13511 20203\n11437 17074\n38926 58295\n3917 5816\n2860 4267\n21375 31968\n42176 63201\n27928 41767\n57186 85704\n34517 51647\n20466 30598\n24146 36135\n98634 100000\n91069 100000\n5871 8745\n10754 16043\n6436 9591\n1053 1576\n97683 100000\n85898 100000\n62398 93586\n4246 6316\n31856 47670\n34907 52222\n74417 100000\n54760 82080\n14942 22332\n48146 72168\n43167 64679\n471 702\n78170 100000\n12413 18564\n40751 61073\n64821 97204\n59791 89639\n32109 48048\n54941 82349\n48824 73169\n94638 100000\n95139 100000\n95499 100000\n91504 100000\n77073 100000\n47922 71831\n99757 100000\n966 1445\n11852 17729\n44331 66420\n72972 100000\n41328 61929\n22497 33672\n50991 76440\n49015 73456\n79916 100000\n19472 29117\n89057 100000\n19014 28433\n45217 67742\n53672 80460\n99651 100000\n19741 29520\n6842 10192\n71487 100000\n31979 47857\n81544 100000\n7185 10715\n53757 80593\n56277 84346\n81581 100000\n2335 3498\n63905 95843\n77890 100000\n85968 100000\n10952 16344\n37179 55681\n64055 96060\n16482 24634\n10580 15791\n14036 20976\n38045 56981\n5635 8388\n99040 100000\n72689 100000\n76526 100000\n66283 99421\n93730 100000\n34639 51822\n75595 100000\n85883 100000\n32628 48802\n97586 100000\n82332 100000\n760 1138\n89396 100000\n73284 100000\n26201 39220\n97426 100000\n24422 36564\n66816 100000\n70209 100000\n46206 69225\n636 954\n52882 79286\n33392 49947\n63660 95457\n12203 18255\n60281 90388\n28165 42127\n35938 53796\n74858 100000\n2131 3192\n15637 23372\n69666 100000\n36288 54339\n91585 100000\n63074 94599\n52201 78249\n27645 41352\n72935 100000\n89175 100000\n72226 100000\n83313 100000\n36232 54254\n47984 71922\n70208 100000\n86780 100000\n31913 47754\n6709 9989\n24785 37105\n80708 100000\n21764 32552\n54541 81761\n82316 100000\n49135 73647\n14201 21215\n30990 46367\n57476 86144\n68589 100000\n52599 78843\n20138 30096\n36908 55273\n99495 100000\n25330 37914\n5670 8438\n54763 82085\n14364 21456\n72275 100000\n36244 54273\n50328 75442\n9039 13483\n99168 100000\n89815 100000\n13121 19621\n1231 1842\n17161 25639\n68984 100000\n84870 100000\n24156 36150\n36317 54379\n60204 90272\n86516 100000\n26189 39201\n82152 100000\n76370 100000\n46924 70323\n29562 44205\n28493 42609\n47982 71920\n10027 14971\n10689 15944\n84232 100000\n46165 69171\n92259 100000\n17072 25506\n44293 66363\n34665 51857\n51861 77738\n55696 83462\n83071 100000\n31339 46889\n15105 22566\n19936 29808\n49751 74579\n4821 7168\n3000 4474\n45003 67409\n21407 32016\n89932 100000\n78661 100000\n2570 3851\n367 538\n47731 71534\n89116 100000\n21838 32672\n19583 29292\n60888 91311\n32173 48144\n16791 25087\n27477 41105\n62402 93591\n57793 86623\n4071 6043\n7437 11091\n35633 53327\n93130 100000\n95319 100000\n7974 11872\n73404 100000\n28509 42632\n45626 68353\n53102 79612\n6565 9782\n1086 1627\n40106 60079\n98597 100000\n13731 20522\n61050 91551\n99759 100000\n91531 100000\n42355 63464\n87662 100000\n25732 38512\n66780 100000\n25888 38745\n26471 39630\n4883 7261\n29162 43599\n81533 100000\n65713 98562\n96393 100000\n87058 100000\n26567 39772\n17615 26323\n87911 100000\n13500 20190\n36803 55118\n38034 56963\n80078 100000\n75355 100000\n57524 86217\n48605 72842\n7912 11784\n52182 78220\n659 986\n93050 100000\n66764 100000\n71533 100000\n35313 52828\n7136 10643\n68403 100000\n13406 20044\n38497 57666\n81929 100000\n28311 42342\n17131 25595\n445 664\n75218 100000\n504 753\n68114 100000\n77173 100000\n31165 46618\n68146 100000\n43023 64475\n54391 81532\n85158 100000\n76859 100000\n86193 100000\n33065 49463\n99918 100000\n59151 88657\n13869 20729\n86565 100000\n27274 40808\n59802 89657\n60905 91334\n12085 18085\n22557 33761\n29101 43509\n21461 32100\n37315 55890\n55821 83656\n54752 82068\n36093 54038\n69944 100000\n52678 78971\n61858 92785\n99255 100000\n82988 100000\n79125 100000\n88636 100000\n18574 27764\n14305 21371\n73110 100000\n89183 100000\n51089 76582\n34579 51736\n25407 38027\n34451 51549\n92847 100000\n20502 30654\n90737 100000\n3040 4530\n10672 15919\n93108 100000\n45610 68328\n3013 4495\n17242 25758\n61429 92139\n19916 29776\n33502 50114\n98981 100000\n80326 100000\n1437 2151\n76855 100000\n63870 95785\n92835 100000\n58064 87035\n72895 100000\n35310 52825\n99444 100000\n21683 32437\n92126 100000\n18710 27974\n46965 70390\n21980 32885\n89333 100000\n19117 28588\n28196 42171\n66915 100000\n38069 57019\n37078 55530\n98342 100000\n55797 83615\n67224 100000\n31528 47178\n62268 93399\n87865 100000\n20539 30707\n71586 100000\n53105 79618\n71492 100000\n30298 45315\n60833 91231\n51879 77762\n4188 6229\n25782 38591\n70434 100000\n89308 100000\n29493 44097\n51851 77724\n22203 33221\n39103 58567\n74710 100000\n43633 65394\n4470 6648\n70944 100000\n49119 73623\n35593 53270\n95898 100000\n90572 100000\n15378 22974\n7143 10652\n65310 97958\n47664 71434\n97445 100000\n50331 75448\n12726 19033\n89054 100000\n49777 74621\n97406 100000\n45300 67867\n3455 5132\n94635 100000\n1264 1890\n96795 100000\n69263 100000\n72977 100000\n11723 17529\n36188 54188\n76071 100000\n54905 82294\n73947 100000\n28833 43112\n25479 38135\n74174 100000\n75147 100000\n53254 79839\n46580 69796\n98677 100000\n86416 100000\n5939 8846\n39721 59501\n80257 100000\n56929 85334\n81045 100000\n94842 100000\n91149 100000\n88363 100000\n85238 100000\n37756 56549\n54072 81056\n73195 100000\n11026 16454\n72761 100000\n40863 61247\n7499 11183\n71105 100000\n62340 93505\n45434 68065\n85333 100000\n12991 19424\n43589 65330\n77599 100000\n33969 50815\n65245 97848\n35744 53498\n53514 80219\n63815 95702\n67039 100000\n81715 100000\n84346 100000\n54609 81854\n85668 100000\n6591 9819\n62551 93809\n3124 4653\n11345 16936\n41817 62658\n95002 100000\n33726 50450\n26139 39129\n58468 87640\n12236 18306\n22320 33403\n50091 75093\n73542 100000\n57291 85859\n49202 73751\n39935 59821\n4681 6960\n94320 100000\n56760 85078\n61316 91966\n1163 1738\n11305 16876\n23120 34609\n19558 29249\n20601 30803\n36460 54596\n57574 86289\n96110 100000\n1703 2539\n32019 47913\n12870 19245\n5156 7677\n89227 100000\n47625 71378\n68640 100000\n86400 100000\n402 593\n19489 29145\n64471 96678\n87454 100000\n40526 60718\n6000 8938\n18664 27902\n24554 36763\n15169 22660\n30007 44883\n55670 83425\n6098 9087\n8083 12027\n35269 52765\n1640 2439\n57449 86102\n74764 100000\n76674 100000\n97681 100000\n6884 10263\n9610 14335\n26257 39306\n17055 25482\n86742 100000\n48654 72913\n91798 100000\n95103 100000\n10896 16260\n41231 61796\n81528 100000\n31212 46690\n34478 51587\n26786 40094\n13646 20399\n90297 100000\n72580 100000\n75841 100000\n62917 94363\n98635 100000\n41014 61471\n59658 89435\n57139 85635\n92530 100000\n44447 66587\n13947 20843\n58005 86945\n48528 72727\n67889 100000\n42468 63638\n64196 96266\n33368 49912\n9452 14100\n30196 45165\n30142 45084\n53494 80189\n28397 42473\n38709 57982\n34786 52037\n65838 98749\n22394 33520\n96775 100000\n98707 100000\n72128 100000\n7339 10945\n92502 100000\n21867 32720\n11201 16718\n59790 89637\n60856 91261\n42349 63454\n11561 17273\n36401 54507\n69280 100000\n41277 61858\n5182 7721\n65665 98490\n10903 16268\n45797 68614\n15774 23581\n11651 17417\n55064 82530\n51839 77707\n62096 93147\n47756 71575\n27013 40422\n39352 58950\n6131 9139\n35362 52907\n57199 85726\n70713 100000\n4789 7118\n30657 45860\n91623 100000\n73290 100000\n85036 100000\n86062 100000\n35870 53692\n695 1041\n73548 100000\n62786 94161\n36981 55380\n69725 100000\n44717 66982\n18328 27400\n60320 90451\n67633 100000\n96099 100000\n50605 75846\n50167 75200\n1941 2902\n51081 76571\n36331 54401\n23966 35867\n55171 82686\n13674 20435\n22073 33024\n90443 100000\n71281 100000\n5482 8169\n96240 100000\n62598 93879\n70415 100000\n19660 29400\n51160 76689\n83320 100000\n73960 100000\n69168 100000\n31875 47698\n38743 58036\n762 1141\n7276 10848\n16610 24822\n35416 52989\n274 404\n39356 58958\n53652 80431\n50984 76429\n97418 100000\n59819 89685\n49286 73873\n87541 100000\n35455 53057\n70127 100000\n72568 100000\n8187 12186\n66173 99259\n64252 96347\n5515 8216\n66069 99099\n77276 100000\n22043 32980\n18193 27194\n11982 17925\n66170 99254\n97707 100000\n5739 8542\n48929 73331\n39919 59797\n37463 56117\n23395 35018\n89652 100000\n95505 100000\n22170 33173\n30267 45270\n62929 94381\n20645 30874\n96525 100000\n34860 52146\n28006 41885\n85144 100000\n89176 100000\n20806 31115\n5580 8309\n70986 100000\n45897 68759\n29066 43461\n61493 92230\n39448 59104\n25258 37807\n26520 39696\n26304 39377\n69056 100000\n23826 35660\n18468 27604\n42789 64109\n7967 11860\n86506 100000\n13167 19695\n63937 95890\n42532 63732\n98348 100000\n69687 100000\n21052 31479\n67768 100000\n85982 100000\n63408 95092\n82609 100000\n50041 75020\n61156 91712\n38564 57767\n3727 5545\n30426 45507\n68324 100000\n71030 100000\n72516 100000\n93766 100000\n34847 52128\n92743 100000\n69412 100000\n70888 100000\n99523 100000\n79568 100000\n4282 6369\n75799 100000\n65456 98182\n44836 67149\n35771 53538\n73672 100000\n8188 12187\n30038 44927\n1381 2066\n65046 97539\n89161 100000\n27007 40413\n43787 65620\n35349 52887\n61376 92060\n11765 17592\n98361 100000\n49429 74097\n87235 100000\n11084 16538\n23870 35726\n94965 100000\n63317 94965\n84683 100000\n80911 100000\n67656 100000\n31677 47396\n75484 100000\n49930 74854\n76269 100000\n5933 8837\n19178 28677\n58693 87982\n52015 77965\n7540 11244\n35138 52571\n90504 100000\n80613 100000\n5009 7454\n41106 61610\n2015 3019\n48921 73315\n86801 100000\n61710 92566\n41599 62335\n58216 87262\n94475 100000\n59153 88661\n22949 34362\n13305 19895\n6837 10183\n72197 100000\n3691 5486\n43791 65627\n97036 100000\n95110 100000\n88771 100000\n61919 92878\n14388 21492\n58280 87360\n10090 15060\n52028 77985\n34309 51333\n18406 27513\n23204 34731\n2065 3095\n62420 93621\n84331 100000\n77292 100000\n18830 28150\n45007 67415\n96059 100000\n41143 61664\n65142 97692\n3018 4501\n70230 100000\n11308 16881\n27771 41535\n27795 41571\n47532 71244\n82038 100000\n99089 100000\n77310 100000\n72075 100000\n7498 11181\n98948 100000\n8062 11994\n33757 50496\n49083 73565\n38054 56994\n30358 45403\n18325 27394\n84696 100000\n74913 100000\n93975 100000\n92956 100000\n88635 100000\n67026 100000\n24640 36891\n43119 64613\n36055 53973\n66657 99982\n59280 88860\n21226 31743\n98655 100000\n7898 11763\n10344 15438\n33154 49599\n12779 19111\n81418 100000\n25743 38527\n83745 100000\n78457 100000\n83593 100000\n63829 95720\n55025 82474\n76486 100000\n73148 100000\n68780 100000\n46474 69640\n91252 100000\n10848 16184\n10056 15013\n17535 26210\n11744 17559\n50989 76436\n4632 6886\n62927 94377\n29686 44398\n12296 18399\n38433 57572\n35815 53609\n45798 68615\n60134 90164\n20741 31018\n94990 100000\n67626 100000\n61083 91605\n17192 25685\n90036 100000\n42958 64376\n69137 100000\n20471 30605\n17924 26798\n2537 3802\n68479 100000\n99241 100000\n27586 41264\n16755 25034\n87337 100000\n72271 100000\n49405 74060\n44201 66240\n8421 12533\n41498 62189\n69891 100000\n42446 63607\n6820 10161\n77083 100000\n98081 100000\n18839 28166\n26897 40255\n11218 16744\n9766 14571\n90382 100000\n30014 44894\n93126 100000\n75808 100000\n46150 69146\n72716 100000\n86383 100000\n66400 99598\n22005 32924\n58326 87432\n73425 100000\n98043 100000\n96958 100000\n21568 32264\n88839 100000\n34762 52001\n48782 73105\n24652 36908\n59116 88607\n77302 100000\n61665 92496\n9852 14708\n67773 100000\n78687 100000\n7008 10449\n16407 24520\n33100 49517\n52199 78245\n66075 99110\n54430 81590\n39208 58731\n17685 26436\n23958 35853\n18753 28039\n90219 100000\n55629 83366\n86486 100000\n90617 100000\n16193 24209\n230 342\n96390 100000\n80212 100000\n36378 54475\n48345 72455\n36968 55362\n73243 100000\n5932 8836\n97088 100000\n92361 100000\n36915 55282\n9665 14416\n33894 50700\n44022 65968\n89041 100000\n20402 30506\n28790 43048\n69758 100000\n35683 53401\n80556 100000\n61335 91996\n88252 100000\n13738 20533\n60461 90663\n48227 72280\n1044 1563\n18722 27992\n36706 54972\n52800 79163\n5174 7708\n47920 71827\n42638 63887\n46633 69880\n39657 59404\n21306 31868\n72966 100000\n92942 100000\n36790 55100\n36246 54276\n29977 44841\n18914 28279\n76469 100000\n42600 63827\n64133 96172\n55022 82470\n80616 100000\n28293 42317\n10379 15493\n82771 100000\n73007 100000\n28993 43347\n30500 45616\n44679 66926\n78069 100000\n40225 60260\n32360 48421\n10005 14937\n22572 33785\n90404 100000\n14866 22216\n7034 10487\n32025 47922\n51511 77211\n34974 52326\n63248 94861\n99688 100000\n77789 100000\n71929 100000\n82155 100000\n55859 83717\n41563 62285\n44855 67181\n44594 66801\n58680 87964\n35017 52392\n29849 44644\n27854 41661\n99405 100000\n88700 100000\n66396 99592\n5688 8463\n77104 100000\n11876 17767\n21855 32702\n87053 100000\n91764 100000\n66989 100000\n39123 58598\n44407 66528\n80149 100000\n10077 15043\n67150 100000\n52055 78028\n96627 100000\n444 662\n84591 100000\n22674 33934\n38511 57691\n14458 21595\n48280 72363\n79596 100000\n92316 100000\n4234 6298\n68389 100000\n91516 100000\n66111 99164\n63370 95039\n69610 100000\n42710 63993\n73682 100000\n351 515\n91167 100000\n56085 84051\n74084 100000\n26612 39841\n97525 100000\n8453 12585\n58725 88026\n23997 35915\n86927 100000\n38412 57538\n60996 91471\n23573 35282\n180 262\n42726 64018\n32544 48679\n55237 82787\n57006 85443\n42359 63471\n63390 95066\n71793 100000\n13792 20619\n6166 9199\n70 104\n93309 100000\n53995 80944\n73302 100000\n21789 32592\n57412 86044\n92823 100000\n8405 12509\n51321 76933\n20178 30153\n47256 70830\n46337 69424\n19649 29385\n33730 50454\n26497 39663\n6770 10078\n21887 32752\n36144 54118\n46680 69950\n30578 45736\n30468 45569\n80393 100000\n69216 100000\n56429 84577\n50733 76049\n68377 100000\n97178 100000\n12680 18962\n8365 12453\n62517 93763\n43754 65574\n90895 100000\n19761 29551\n21587 32291\n90790 100000\n66939 100000\n53578 80317\n40927 61341\n32485 48602\n5679 8450\n35521 53162\n66723 100000\n66847 100000\n58372 87497\n35872 53695\n42758 64065\n95388 100000\n95757 100000\n25886 38742\n74116 100000\n72816 100000\n63170 94746\n18566 27753\n58368 87492\n60109 90123\n79188 100000\n45380 67987\n15354 22938\n18145 27123\n72610 100000\n38946 58326\n55287 82863\n33616 50281\n52846 79233\n70799 100000\n66963 100000\n62379 93558\n11919 17825\n68051 100000\n94129 100000\n63739 95581\n27284 40822\n93352 100000\n19209 28720\n51683 77473\n60948 91403\n30060 44960\n10188 15198\n67695 100000\n94788 100000\n86327 100000\n78903 100000\n45470 68120\n75161 100000\n2237 3345\n5169 7698\n51789 77628\n80657 100000\n89563 100000\n15012 22430\n46132 69119\n92730 100000\n44521 66692\n8458 12593\n68065 100000\n56895 85284\n54625 81874\n53445 80116\n58293 87381\n60529 90769\n50598 75836\n98501 100000\n55773 83579\n47143 70660\n88016 100000\n40181 60188\n94084 100000\n30835 46138\n91708 100000\n29130 43550\n53844 80720\n22660 33914\n16305 24371\n89883 100000\n72882 100000\n90340 100000\n66250 99370\n95212 100000\n9289 13851\n74328 100000\n3508 5211\n12129 18149\n37786 56593\n54652 81913\n51463 77140\n22528 33716\n28927 43246\n12358 18481\n13509 20201\n94796 100000\n31025 46414\n25822 38650\n1283 1923\n69204 100000\n7815 11640\n28135 42081\n71140 100000\n21605 32315\n91857 100000\n39342 58935\n78544 100000\n4591 6827\n47567 71294\n81799 100000\n66171 99256\n29279 43770\n6868 10238\n33980 50830\n53939 80861\n24818 37154\n19896 29746\n57134 85628\n89967 100000\n27521 41169\n91207 100000\n66890 100000\n6448 9609\n95268 100000\n21644 32379\n79557 100000\n61221 91810\n38193 57199\n68692 100000\n46867 70238\n46281 69341\n25825 38655\n82481 100000\n60544 90793\n33116 49540\n1793 2680\n29401 43957\n52781 79134\n58364 87486\n38444 57590\n86413 100000\n28249 42253\n34687 51895\n56216 84257\n81930 100000\n19384 28990\n68163 100000\n93863 100000\n14635 21866\n39979 59890\n39588 59307\n48303 72392\n98623 100000\n98333 100000\n26255 39303\n68137 100000\n74256 100000\n20287 30323\n13752 20556\n40093 60057\n66041 99058\n49390 74036\n34466 51570\n29572 44219\n25899 38761\n28930 43249\n42937 64344\n16222 24252\n44403 66522\n5347 7963\n35619 53309\n80392 100000\n7446 11104\n58642 87903\n502 749\n87282 100000\n72579 100000\n33207 49670\n17829 26660\n93266 100000\n32095 48025\n12643 18907\n54117 81124\n83379 100000\n52350 78463\n67299 100000\n27633 41336\n10168 15170\n15604 23324\n13393 20022\n30823 46118\n75631 100000\n34131 51060\n22999 34435\n47525 71233\n83685 100000\n32288 48319\n26555 39754\n65243 97845\n91101 100000\n86305 100000\n3325 4945\n8544 12735\n25342 37932\n57692 86475\n15494 23155\n26951 40334\n78515 100000\n35228 52706\n77482 100000\n29299 43803\n43449 65118\n73658 100000\n24218 36251\n3340 4964\n93445 100000\n87480 100000\n58270 87343\n67191 100000\n56913 85310\n88447 100000\n84547 100000\n81475 100000\n51575 77312\n61832 92742\n99260 100000\n29187 43637\n39432 59079\n42495 63676\n9704 14477\n74010 100000\n65972 98953\n94690 100000\n23293 34871\n43511 65211\n52580 78817\n34703 51919\n4197 6242\n612 914\n1927 2882\n85493 100000\n46666 69929\n52777 79126\n48158 72187\n66572 99855\n61565 92338\n63231 94834\n7192 10723\n31532 47184\n39649 59393\n97170 100000\n54750 82066\n2916 4353\n59857 89738\n23810 35634\n65979 98965\n64193 96262\n16439 24566\n79826 100000\n92061 100000\n33846 50626\n54168 81203\n69812 100000\n64704 97025\n24852 37201\n77941 100000\n67535 100000\n77224 100000\n22112 33086\n17933 26810\n98282 100000\n89600 100000\n71073 100000\n25897 38758\n18286 27333\n95435 100000\n22878 34252\n77840 100000\n25619 38344\n88894 100000\n44933 67302\n76985 100000\n81129 100000\n348 512\n25963 38860\n27164 40652\n29858 44657\n31710 47452\n37527 56211\n64275 96385\n99729 100000\n37462 56116\n98446 100000\n10054 15010\n69051 100000\n36688 54948\n42482 63656\n61502 92243\n31034 46429\n80644 100000\n3380 5025\n28121 42059\n8598 12813\n72629 100000\n32033 47934\n47638 71395\n62951 94410\n8351 12430\n56196 84227\n63429 95125\n88232 100000\n20117 30068\n32417 48502\n45669 68417\n95332 100000\n33633 50307\n26510 39682\n41672 62444\n57678 86454\n49343 73963\n44057 66022\n81474 100000\n28973 43312\n67991 100000\n89362 100000\n33328 49848\n43883 65768\n79481 100000\n59256 88820\n73536 100000\n53574 80311\n52100 78094\n18178 27171\n41820 62663\n43154 64662\n78930 100000\n58153 87169\n82819 100000\n99220 100000\n59815 89680\n99015 100000\n76788 100000\n4256 6331\n17595 26295\n86606 100000\n99612 100000\n74206 100000\n11573 17290\n72488 100000\n93796 100000\n13085 19569\n11968 17903\n71076 100000\n90939 100000\n33716 50433\n67946 100000\n91863 100000\n23073 34538\n38469 57627\n5862 8731\n72747 100000\n43713 65511\n72145 100000\n45016 67426\n79617 100000\n26670 39928\n80945 100000\n3725 5542\n92018 100000\n46923 70321\n70344 100000\n67639 100000\n87970 100000\n20589 30786\n7532 11232\n79438 100000\n15970 23884\n42966 64387\n13826 20668\n4598 6836\n80762 100000\n38344 57434\n12952 19367\n1963 2938\n43440 65105\n55770 83576\n42807 64137\n84796 100000\n97121 100000\n68087 100000\n36801 55116\n93992 100000\n92012 100000\n54990 82425\n29784 44549\n73062 100000\n19675 29422\n47669 71441\n49961 74900\n98062 100000\n10628 15858\n84047 100000\n38381 57490\n87719 100000\n13594 20326\n3226 4805\n39764 59564\n53339 79963\n60559 90815\n13399 20032\n59185 88710\n56980 85402\n62467 93684\n56917 85315\n65448 98170\n41482 62167\n80238 100000\n80584 100000\n93954 100000\n9995 14920\n68673 100000\n32531 48664\n30240 45231\n2699 4029\n243 360\n80262 100000\n48101 72100\n43510 65210\n70742 100000\n63153 94717\n78257 100000\n86121 100000\n83165 100000\n51705 77508\n8180 12175\n75208 100000\n26795 40108\n78839 100000\n94860 100000\n80464 100000\n48652 72911\n86532 100000\n338 497\n92509 100000\n43675 65456\n44139 66148\n10082 15048\n74604 100000\n17089 25534\n88268 100000\n96199 100000\n69500 100000\n56516 84715\n20543 30712\n16927 25292\n44324 66409\n11204 16723\n61873 92809\n6969 10389\n93972 100000\n82659 100000\n21447 32078\n91960 100000\n74495 100000\n57163 85672\n60071 90068\n53644 80421\n30411 45484\n55967 83882\n46947 70359\n27095 40547\n90303 100000\n35729 53472\n70666 100000\n52212 78266\n41694 62474\n4507 6703\n65126 97665\n44424 66551\n25796 38612\n38741 58033\n47831 71693\n91911 100000\n75030 100000\n86788 100000\n23253 34807\n5291 7879\n82739 100000\n36105 54059\n75301 100000\n46221 69251\n78202 100000\n73330 100000\n11891 17787\n38406 57529\n21962 32857\n43149 64655\n30199 45170\n39896 59764\n78218 100000\n85096 100000\n64911 97338\n65549 98323\n26074 39023\n3424 5087\n17177 25665\n95529 100000\n1766 2635\n28884 43188\n79785 100000\n93997 100000\n51417 77079\n65724 98579\n73282 100000\n83357 100000\n67160 100000\n69515 100000\n84973 100000\n41434 62095\n71054 100000\n77608 100000\n42353 63461\n16670 24908\n7417 11064\n41896 62781\n91332 100000\n63909 95849\n24946 37335\n97238 100000\n23214 34746\n57189 85709\n89803 100000\n66476 99711\n42500 63683\n15855 23703\n97692 100000\n72792 100000\n3213 4788\n49700 74503\n77417 100000\n44559 66748\n54128 81142\n75091 100000\n87355 100000\n3370 5008\n93078 100000\n73445 100000\n35004 52373\n9190 13701\n78675 100000\n64883 97295\n38706 57977\n51850 77723\n76551 100000\n22649 33898\n96474 100000\n54240 81309\n31513 47153\n86450 100000\n22787 34109\n67482 100000\n33444 50023\n67068 100000\n5637 8392\n28621 42794\n79641 100000\n93321 100000\n40704 60999\n85005 100000\n52178 78212\n16059 24011\n35007 52377\n37518 56197\n54273 81359\n78160 100000\n51746 77570\n97309 100000\n43417 65071\n91888 100000\n68448 100000\n48397 72535\n56523 84726\n3108 4631\n86298 100000\n66661 99988\n10814 16133\n41118 61630\n88239 100000\n88314 100000\n7788 11604\n78574 100000\n41042 61517\n27172 40663\n2473 3699\n62814 94207\n58017 86963\n51782 77617\n56567 84792\n59364 88983\n52208 78258\n60627 90918\n51555 77285\n15248 22784\n75857 100000\n4088 6067\n87334 100000\n42809 64140\n53697 80498\n63032 94533\n59095 88574\n64540 96782\n23692 35461\n38524 57709\n7632 11380\n56090 84060\n85750 100000\n59542 89252\n474 707\n5015 7464\n91256 100000\n18537 27710\n62039 93060\n72021 100000\n94554 100000\n79541 100000\n8713 12981\n25990 38901\n92463 100000\n44971 67362\n92039 100000\n54231 81294\n62877 94299\n9486 14147\n17223 25731\n10141 15133\n73673 100000\n89475 100000\n89655 100000\n77935 100000\n77260 100000\n8039 11964\n66553 99826\n31701 47436\n59456 89118\n46691 69969\n75339 100000\n74424 100000\n75162 100000\n66420 99628\n68301 100000\n69394 100000\n57697 86484\n8211 12221\n90597 100000\n31052 46457\n11562 17275\n58569 87792\n28897 43203\n87634 100000\n65935 98893\n76970 100000\n32462 48569\n14974 22377\n31950 47812\n27567 41234\n13644 20396\n64210 96285\n9072 13526\n12249 18328\n90175 100000\n76263 100000\n4471 6650\n12844 19210\n36096 54044\n61791 92683\n1465 2191\n4948 7359\n75033 100000\n27061 40492\n10441 15593\n53577 80316\n93242 100000\n17958 26844\n77739 100000\n26146 39141\n18723 27994\n91148 100000\n55847 83698\n81384 100000\n56256 84314\n15792 23607\n92709 100000\n64809 97187\n10751 16039\n77380 100000\n84964 100000\n75419 100000\n60489 90708\n36713 54983\n33685 50388\n86798 100000\n11403 17020\n87310 100000\n92860 100000\n70928 100000\n10420 15562\n73184 100000\n18698 27958\n8781 13084\n29793 44561\n86410 100000\n9591 14310\n52759 79095\n37761 56559\n62105 93159\n83089 100000\n13460 20126\n32571 48718\n35490 53113\n59450 89110\n67751 100000\n97235 100000\n8489 12645\n42360 63473\n71451 100000\n27948 41797\n34757 51993\n76936 100000\n59890 89781\n5082 7569\n11867 17753\n7894 11758\n29541 44170\n98883 100000\n99586 100000\n15563 23263\n41964 62887\n27936 41778\n73280 100000\n26493 39658\n41755 62566\n8488 12644\n16753 25031\n97312 100000\n74712 100000\n57005 85441\n81460 100000\n90130 100000\n20526 30689\n66068 99097\n32823 49092\n94813 100000\n61180 91748\n58772 88099\n63455 95165\n75569 100000\n44834 67145\n19511 29179\n68711 100000\n46504 69687\n203 301\n89332 100000\n41217 61777\n65702 98550\n93269 100000\n54205 81258\n90631 100000\n92036 100000\n81228 100000\n43531 65242\n71614 100000\n23860 35708\n78497 100000\n88798 100000\n56353 84462\n44047 66006\n85630 100000\n83567 100000\n52825 79202\n43393 65029\n12665 18939\n1223 1830\n472 704\n35733 53480\n74342 100000\n59340 88945\n91134 100000\n75334 100000\n21953 32846\n89491 100000\n66659 99984\n52113 78112\n43499 65194\n94434 100000\n11223 16753\n37613 56338\n70041 100000\n90559 100000\n54898 82282\n33653 50337\n27743 41498\n33120 49548\n18876 28224\n31372 46939\n978 1461\n24136 36120\n62133 93200\n97928 100000\n92718 100000\n31450 47061\n18030 26949\n84308 100000\n19131 28607\n60506 90732\n80368 100000\n77489 100000\n58199 87236\n20581 30773\n30836 46139\n36177 54170\n70327 100000\n62452 93664\n5876 8753\n68722 100000\n37319 55896\n36793 55105\n59455 89117\n32548 48686\n25056 37505\n44336 66428\n12840 19203\n5811 8651\n11402 17018\n9976 14890\n5843 8702\n36800 55115\n99598 100000\n78865 100000\n51989 77930\n24401 36532\n80154 100000\n10906 16272\n11253 16800\n75810 100000\n83013 100000\n434 646\n77078 100000\n19549 29235\n59306 88898\n93240 100000\n14342 21424\n14822 22145\n24511 36698\n67697 100000\n50391 75541\n37822 56640\n25746 38530\n11621 17371\n46359 69459\n79860 100000\n72890 100000\n37273 55823\n30717 45952\n93129 100000\n69753 100000\n50173 75209\n58304 87400\n8060 11991\n43267 64834\n31740 47497\n11239 16777\n1719 2564\n26697 39965\n76513 100000\n15407 23019\n30840 46145\n25060 37513\n99227 100000\n11916 17821\n77255 100000\n32335 48384\n84511 100000\n98203 100000\n71977 100000\n3430 5094\n44171 66197\n59560 89281\n70558 100000\n49946 74876\n16332 24412\n98806 100000\n18643 27867\n82578 100000\n18869 28215\n38351 57443\n3058 4558\n66805 100000\n84533 100000\n79709 100000\n73274 100000\n22140 33130\n63488 95210\n2796 4169\n25877 38731\n91674 100000\n28959 43293\n48140 72158\n61547 92314\n25710 38482\n71446 100000\n7072 10540\n93477 100000\n87342 100000\n25427 38060\n13680 20444\n36459 54595\n26928 40300\n80241 100000\n70125 100000\n98473 100000\n88820 100000\n9983 14900\n22355 33461\n6476 9653\n7242 10799\n13527 20226\n4273 6354\n63270 94896\n53769 80609\n68969 100000\n51668 77452\n46179 69188\n67202 100000\n64501 96720\n51868 77746\n40636 60889\n7712 11504\n40009 59934\n94502 100000\n45112 67578\n48443 72600\n45147 67631\n63882 95803\n80230 100000\n48965 73383\n34415 51499\n78311 100000\n8983 13396\n94954 100000\n66640 99957\n41388 62021\n93248 100000\n44805 67106\n74776 100000\n50460 75636\n66596 99891\n99433 100000\n46124 69106\n22692 33962\n94004 100000\n67171 100000\n13 19\n70287 100000\n82876 100000\n67523 100000\n68781 100000\n28680 42882\n75168 100000\n57300 85870\n18259 27293\n66835 100000\n11246 16787\n9899 14777\n81055 100000\n10227 15260\n58337 87445\n10315 15390\n17760 26546\n25690 38451\n69579 100000\n27001 40403\n80220 100000\n83997 100000\n61767 92649\n83651 100000\n9025 13462\n26884 40236\n7227 10777\n47314 70918\n55977 83897\n43753 65573\n75359 100000\n19870 29714\n12080 18078\n82692 100000\n3851 5720\n87225 100000\n38954 58339\n50014 74982\n96049 100000\n86407 100000\n74382 100000\n45912 68780\n49973 74919\n29114 43524\n4056 6023\n69301 100000\n64814 97193\n70244 100000\n44918 67278\n20530 30695\n46196 69211\n81009 100000\n57262 85819\n20551 30726\n9145 13636\n38246 57278\n49725 74541\n93744 100000\n41024 61489\n61424 92132\n12464 18637\n38681 57938\n15156 22643\n57718 86518\n67619 100000\n78516 100000\n34346 51387\n70698 100000\n11045 16485\n39687 59449\n88371 100000\n20740 31017\n97806 100000\n33089 49498\n39672 59425\n73020 100000\n15979 23897\n25470 38124\n65422 98133\n1632 2427\n83104 100000\n50255 75332\n98453 100000\n52481 78670\n19184 28684\n85156 100000\n36905 55268\n77114 100000\n63399 95080\n44388 66499\n28188 42158\n31373 46940\n75189 100000\n98642 100000\n89706 100000\n58145 87156\n3734 5556\n70872 100000\n99298 100000\n42700 63978\n56996 85427\n96593 100000\n93877 100000\n58487 87670\n76993 100000\n43805 65647\n89700 100000\n57976 86898\n96711 100000\n5425 8084\n43468 65149\n81372 100000\n8480 12630\n80324 100000\n95793 100000\n577 864\n53794 80648\n83210 100000\n60056 90044\n93202 100000\n5766 8582\n74079 100000\n91289 100000\n17272 25805\n14184 21191\n61370 92051\n80712 100000\n95665 100000\n84054 100000\n15357 22943\n79691 100000\n52468 78652\n98150 100000\n12501 18692\n25278 37834\n5414 8068\n72372 100000\n85727 100000\n90147 100000\n46193 69206\n48002 71947\n56485 84664\n47167 70696\n19611 29332\n2489 3726\n74279 100000\n35505 53139\n53363 79997\n54216 81272\n1061 1589\n64255 96352\n26085 39040\n36855 55203\n2778 4139\n34002 50865\n35475 53088\n82656 100000\n35219 52694\n70115 100000\n43625 65383\n78097 100000\n80522 100000\n29674 44380\n55494 83172\n65098 97622\n96339 100000\n76848 100000\n12345 18464\n56688 84968\n32342 48394\n63355 95019\n8384 12481\n27427 41033\n14235 21267\n46197 69213\n87871 100000\n88664 100000\n43818 65667\n41594 62327\n85911 100000\n65609 98411\n14801 22114\n90477 100000\n9192 13704\n30104 45028\n3291 4901\n37936 56816\n6249 9319\n46810 70149\n85444 100000\n51632 77393\n55166 82677\n71469 100000\n45686 68444\n30430 45512\n43272 64840\n2892 4320\n88737 100000\n78003 100000\n41640 62395\n88767 100000\n89692 100000\n91124 100000\n82867 100000\n29702 44427\n24521 36715\n990 1480\n55463 83127\n82758 100000\n90339 100000\n62156 93235\n45490 68148\n3210 4784\n47282 70867\n26028 38955\n63857 95767\n86085 100000\n90629 100000\n92404 100000\n72598 100000\n99988 100000\n75454 100000\n59965 89900\n46405 69533\n27399 40995\n62586 93860\n37246 55782\n67092 100000\n73059 100000\n54755 82073\n20738 31014\n5753 8563\n72407 100000\n68388 100000\n59694 89489\n99532 100000\n22010 32931\n97664 100000\n20085 30021\n8177 12170\n91707 100000\n84842 100000\n91829 100000\n42636 63885\n39781 59590\n38660 57906\n92473 100000\n24494 36671\n82896 100000\n9590 14309\n56663 84930\n29325 43840\n94911 100000\n45061 67491\n7233 10785\n73543 100000\n2751 4102\n34960 52302\n61825 92733\n67256 100000\n28912 43224\n33972 50818\n51075 76562\n70963 100000\n60486 90704\n64972 97428\n214 319\n83915 100000\n19838 29667\n30041 44932\n17101 25554\n23140 34636\n74393 100000\n13192 19732\n60602 90876\n35101 52512\n93653 100000\n12426 18584\n30857 46171\n79183 100000\n28637 42816\n42694 63969\n72803 100000\n91699 100000\n25442 38081\n57557 86264\n74131 100000\n96412 100000\n49422 74085\n1733 2584\n27613 41306\n22404 33532\n91619 100000\n40939 61360\n3215 4791\n14657 21898\n20992 31387\n1754 2618\n74881 100000\n25489 38151\n70571 100000\n86991 100000\n48084 72073\n56938 85345\n44098 66085\n23121 34610\n79418 100000\n84064 100000\n7568 11283\n63480 95200\n96276 100000\n14408 21523\n68500 100000\n61126 91663\n37100 55563\n60944 91396\n30057 44956\n91730 100000\n16978 25370\n10617 15842\n45370 67972\n90942 100000\n89774 100000\n68218 100000\n26730 40013\n5745 8550\n52965 79419\n3231 4813\n21703 32467\n18800 28105\n39671 59424\n48924 73321\n20839 31163\n85374 100000\n20636 30859\n69938 100000\n93913 100000\n87839 100000\n74617 100000\n238 352\n52642 78910\n41413 62063\n28355 42414\n83161 100000\n55091 82569\n25336 37922\n4746 7054\n74553 100000\n33230 49704\n49605 74365\n75312 100000\n4092 6074\n81563 100000\n14656 21897\n29067 43462\n71983 100000\n22137 33125\n84951 100000\n67783 100000\n32285 48315\n28577 42726\n21527 32198\n86620 100000\n32426 48516\n45008 67416\n50240 75309\n98204 100000\n75051 100000\n24775 37090\n37108 55574\n41554 62273\n26236 39273\n65249 97855\n67059 100000\n40926 61340\n54119 81128\n91847 100000\n85782 100000\n86649 100000\n77817 100000\n66557 99831\n325 478\n42105 63097\n40607 60846\n29422 43991\n44306 66384\n30516 45641\n35998 53886\n66599 99896\n72201 100000\n12486 18668\n22369 33481\n90555 100000\n14774 22070\n58759 88078\n53291 79891\n39718 59497\n37236 55767\n12567 18788\n21851 32697\n81021 100000\n71351 100000\n48736 73030\n58090 87075\n50305 75407\n8375 12469\n10769 16065\n65836 98745\n16180 24187\n26892 40246\n14844 22178\n34629 51807\n48914 73306\n76651 100000\n30224 45207\n70459 100000\n2587 3874\n94397 100000\n60772 91139\n4987 7422\n64774 97133\n42114 63110\n73593 100000\n60564 90824\n80676 100000\n47172 70702\n79474 100000\n94025 100000\n707 1057\n47049 70511\n90362 100000\n22951 34365\n6625 9866\n71203 100000\n56746 85058\n50730 76044\n19640 29371\n59013 88455\n25691 38452\n33439 50017\n84394 100000\n30736 45983\n24961 37357\n4291 6385\n80153 100000\n40735 61049\n51831 77693\n37708 56481\n47661 71430\n15545 23237\n87965 100000\n37418 56043\n54673 81946\n36594 54802\n8585 12795\n9274 13825\n64232 96318\n20967 31351\n80748 100000\n5631 8382\n14814 22132\n70699 100000\n8902 13274\n30894 46231\n16830 25144\n8200 12204\n54761 82082\n86301 100000\n62314 93467\n39107 58572\n36070 53999\n86601 100000\n6552 9765\n16379 24478\n89933 100000\n79265 100000\n31054 46461\n77143 100000\n69580 100000\n93026 100000\n91146 100000\n61645 92461\n20301 30345\n47817 71670\n18594 27795\n16281 24337\n95821 100000\n52746 79076\n8593 12807\n1905 2854\n82174 100000\n57973 86895\n43746 65562\n56123 84113\n46488 69663\n20294 30334\n83284 100000\n28707 42925\n56493 84676\n81465 100000\n82336 100000\n27985 41852\n74914 100000\n88937 100000\n46231 69266\n23467 35123\n90918 100000\n72763 100000\n34148 51083\n1929 2885\n58802 88147\n74803 100000\n75167 100000\n90341 100000\n66626 99936\n2119 3176\n7159 10676\n76193 100000\n32412 48493\n62423 93624\n27261 40792\n5061 7540\n75351 100000\n78691 100000\n34320 51348\n4230 6292\n86961 100000\n98406 100000\n79941 100000\n74358 100000\n29354 43888\n56162 84174\n92471 100000\n64498 96716\n86900 100000\n84873 100000\n81621 100000\n2234 3341\n67452 100000\n87671 100000\n15822 23656\n25966 38865\n81560 100000\n5904 8797\n32043 47947\n51070 76556\n10484 15653\n39926 59807\n521 777\n46053 69000\n40349 60448\n45857 68701\n16079 24044\n25867 38716\n67686 100000\n32449 48550\n64330 96465\n47581 71317\n1807 2701\n57019 85462\n35483 53100\n2687 4012\n30658 45861\n72470 100000\n83369 100000\n19628 29356\n84426 100000\n88874 100000\n23383 34999\n60676 90995\n22952 34367\n9693 14458\n55850 83702\n97304 100000\n65764 98643\n3981 5912\n32178 48151\n46776 70097\n18771 28063\n51121 76630\n17855 26703\n12340 18455\n99418 100000\n77129 100000\n49901 74809\n58176 87203\n40484 60647\n9589 14307\n94299 100000\n17946 26828\n68043 100000\n76687 100000\n90337 100000\n2866 4278\n17536 26211\n44369 66471\n15241 22773\n69645 100000\n42593 63817\n5242 7809\n40588 60820\n51864 77741\n4575 6801\n9682 14441\n61545 92312\n89241 100000\n44576 66775\n50484 75673\n32971 49316\n69601 100000\n91022 100000\n84811 100000\n16720 24983\n14653 21893\n62606 93894\n65682 98517\n99970 100000\n78695 100000\n55745 83536\n95602 100000\n11062 16507\n37853 56690\n93905 100000\n72614 100000\n38924 58293\n64273 96382\n50401 75556\n74811 100000\n24950 37340\n53976 80914\n2419 3622\n21081 31524\n89868 100000\n74333 100000\n53148 79679\n43987 65919\n2078 3115\n44883 67220\n23393 35015\n98381 100000\n31245 46742\n57292 85860\n41606 62346\n34230 51207\n51505 77204\n25269 37822\n18877 28225\n58702 87996\n7551 11259\n23745 35533\n62783 94157\n31286 46807\n3598 5346\n65714 98564\n73748 100000\n90836 100000\n99141 100000\n35364 52910\n22253 33299\n96502 100000\n65751 98625\n30237 45227\n46057 69006\n34181 51133\n8182 12178\n92372 100000\n747 1117\n44932 67301\n4870 7241\n66005 99004\n79653 100000\n30942 46301\n71254 100000\n39148 58639\n71757 100000\n53921 80832\n42161 63179\n73754 100000\n69916 100000\n83652 100000\n44179 66210\n55569 83281\n14624 21848\n3021 4506\n73674 100000\n84604 100000\n87227 100000\n99431 100000\n52998 79470\n41049 61529\n38462 57620\n36966 55358\n22194 33207\n37217 55738\n78294 100000\n62756 94118\n67713 100000\n57724 86526\n48812 73152\n17071 25504\n40578 60804\n42709 63991\n59440 89094\n89879 100000\n67595 100000\n44868 67200\n98425 100000\n46433 69580\n51203 76758\n22819 34158\n1959 2934\n81168 100000\n90580 100000\n64545 96789\n51386 77037\n7560 11272\n58475 87651\n48566 72785\n50863 76243\n16318 24393\n69165 100000\n51395 77048\n56059 84013\n96282 100000\n68427 100000\n23247 34798\n68542 100000\n7318 10914\n84127 100000\n67637 100000\n31917 47759\n22873 34243\n79836 100000\n30498 45614\n24366 36478\n71172 100000\n24037 35972\n21815 32636\n36947 55329\n85584 100000\n83377 100000\n54015 80969\n31279 46796\n15517 23190\n8222 12238\n82037 100000\n10684 15937\n76298 100000\n90214 100000\n58398 87540\n73286 100000\n42276 63349\n1664 2478\n4268 6346\n26435 39577\n25190 37702\n64511 96737\n1071 1605\n32121 48066\n47915 71820\n97175 100000\n46928 70328\n78333 100000\n87428 100000\n99673 100000\n10682 15935\n25681 38437\n31433 47034\n56169 84184\n11981 17923\n58030 86981\n66192 99285\n24789 37111\n16181 24189\n70482 100000\n40171 60173\n53412 80067\n93638 100000\n17798 26608\n45454 68094\n57115 85605\n41251 61822\n50974 76415\n46861 70228\n85788 100000\n86782 100000\n8557 12753\n23947 35839\n34095 51003\n66220 99328\n51328 76943\n66137 99201\n51982 77923\n74483 100000\n10557 15756\n84414 100000\n49443 74118\n62300 93446\n33091 49501\n85483 100000\n99875 100000\n26530 39711\n24405 36539\n24575 36793\n13623 20366\n78982 100000\n63721 95549\n1782 2663\n8655 12896\n54360 81487\n83302 100000\n83862 100000\n78545 100000\n99076 100000\n86642 100000\n1145 1711\n18444 27570\n33110 49530\n31230 46718\n43059 64528\n25737 38518\n15769 23574\n15168 22658\n99001 100000\n52750 79082\n17724 26496\n29710 44437\n41725 62521\n64832 97223\n56217 84258\n61052 91555\n18646 27871\n58524 87729\n32050 47959\n23202 34728\n49746 74572\n26012 38933\n6450 9613\n43247 64801\n68644 100000\n3562 5294\n71829 100000\n79210 100000\n76836 100000\n19703 29460\n26838 40169\n48658 72920\n62918 94364\n23832 35668\n66563 99841\n76395 100000\n39256 58803\n60685 91008\n67072 100000\n6991 10424\n30006 44882\n97174 100000\n39028 58452\n44718 66984\n80394 100000\n88851 100000\n20491 30635\n6229 9291\n67244 100000\n19589 29299\n29235 43709\n29198 43651\n18493 27644\n94441 100000\n6312 9412\n54996 82432\n63736 95576\n28463 42571\n11556 17267\n53404 80057\n45494 68153\n80990 100000\n77710 100000\n68216 100000\n88468 100000\n34501 51623\n94449 100000\n48284 72367\n11973 17910\n40938 61358\n73614 100000\n89717 100000\n77652 100000\n41766 62582\n22763 34069\n2821 4207\n95565 100000\n73001 100000\n22836 34186\n43594 65337\n70858 100000\n92782 100000\n42421 63567\n22301 33374\n4909 7300\n97700 100000\n45160 67650\n4463 6637\n60883 91302\n98953 100000\n35644 53342\n87331 100000\n97706 100000\n65833 98740\n41068 61555\n37598 56317\n1030 1542\n52862 79257\n34640 51823\n85455 100000\n23004 34442\n19564 29260\n4663 6934\n50519 75728\n10253 15295\n42985 64414\n4620 6866\n9175 13681\n85434 100000\n97890 100000\n34845 52126\n79368 100000\n59752 89575\n80445 100000\n55697 83463\n97550 100000\n23531 35219\n23510 35190\n98280 100000\n53471 80155\n86551 100000\n52068 78046\n51586 77329\n19789 29594\n38434 57573\n24172 36176\n24017 35942\n36715 54986\n63291 94924\n7669 11436\n17194 25689\n62748 94103\n17058 25486\n12745 19061\n97132 100000\n18319 27386\n65462 98192\n12978 19406\n23233 34776\n40522 60712\n28788 43045\n94853 100000\n44595 66803\n42617 63853\n46783 70106\n60773 91140\n88672 100000\n3528 5242\n59076 88549\n81559 100000\n77338 100000\n34450 51547\n21948 32839\n48472 72645\n63462 95176\n94849 100000\n94050 100000\n71620 100000\n6054 9021\n45324 67904\n17357 25941\n65153 97710\n15903 23775\n18288 27335\n43397 65036\n24854 37205\n90919 100000\n63028 94527\n60427 90614\n88135 100000\n84532 100000\n84145 100000\n94160 100000\n97192 100000\n52403 78548\n45716 68492\n34080 50980\n51693 77489\n97059 100000\n3163 4713\n94600 100000\n49938 74864\n61281 91910\n97596 100000\n91235 100000\n49477 74168\n11169 16667\n31954 47816\n58222 87270\n2196 3286\n98668 100000\n25245 37785\n3070 4575\n87409 100000\n97503 100000\n96581 100000\n31366 46932\n57411 86042\n412 611\n94304 100000\n35058 52453\n74987 100000\n60626 90916\n94584 100000\n57223 85760\n33134 49569\n43722 65523\n22302 33376\n40374 60484\n52142 78154\n75350 100000\n93602 100000\n51820 77677\n63120 94672\n7209 10748\n13465 20135\n27790 41564\n35253 52742\n70835 100000\n44612 66825\n23755 35547\n72679 100000\n92415 100000\n39309 58881\n75089 100000\n60469 90676\n19884 29730\n48934 73339\n92760 100000\n51085 76577\n60524 90761\n30239 45229\n55813 83643\n16353 24441\n76207 100000\n92999 100000\n15829 23666\n11272 16828\n82865 100000\n75465 100000\n81538 100000\n25970 38871\n3466 5149\n25828 38658\n11842 17712\n27888 41709\n9622 14353\n38556 57755\n6640 9887\n80602 100000\n46532 69722\n786 1177\n61792 92685\n22664 33920\n20270 30291\n89389 100000\n40494 60664\n99621 100000\n29608 44277\n37201 55712\n58676 87958\n91472 100000\n68068 100000\n67440 100000\n97011 100000\n64613 96890\n87158 100000\n8622 12849\n95309 100000\n97133 100000\n33531 50154\n69571 100000\n25515 38189\n33213 49679\n57227 85765\n13892 20763\n55585 83305\n29359 43896\n48643 72896\n77118 100000\n36913 55280\n16252 24299\n44100 66089\n20792 31095\n52453 78627\n87072 100000\n20918 31278\n32864 49155\n88760 100000\n34245 51234\n27476 41103\n29865 44668\n79563 100000\n21946 32837\n94711 100000\n31013 46398\n56722 85022\n89666 100000\n42851 64208\n62553 93813\n27634 41338\n14274 21326\n8736 13017\n44077 66053\n2643 3956\n78787 100000\n3961 5883\n88384 100000\n60738 91088\n41568 62291\n1578 2355\n88710 100000\n6716 10001\n65856 98776\n4353 6473\n73617 100000\n27388 40977\n77195 100000\n9658 14407\n35460 53066\n51045 76520\n7842 11684\n8440 12563\n56512 84709\n62485 93713\n41369 61995\n92156 100000\n97730 100000\n89583 100000\n33567 50209\n2826 4215\n88402 100000\n96180 100000\n24433 36578\n23615 35345\n4612 6854\n21783 32580\n18005 26914\n79704 100000\n93563 100000\n71896 100000\n18068 27009\n64519 96749\n60823 91215\n98060 100000\n19570 29270\n98682 100000\n27093 40543\n70317 100000\n39559 59265\n14775 22072\n75076 100000\n37158 55649\n6968 10387\n15446 23083\n79761 100000\n59514 89209\n83853 100000\n15078 22527\n84917 100000\n72957 100000\n66435 99649\n19475 29123\n29259 43745\n97393 100000\n75049 100000\n2198 3289\n85243 100000\n93450 100000\n11413 17034\n42648 63901\n35256 52748\n25898 38760\n5823 8670\n78679 100000\n23237 34782\n73600 100000\n74797 100000\n17965 26854\n83304 100000\n51510 77210\n75566 100000\n21894 32761\n83356 100000\n61751 92628\n81673 100000\n72690 100000\n65894 98827\n95775 100000\n45825 68653\n16599 24805\n61682 92523\n64419 96603\n94588 100000\n29368 43908\n85980 100000\n37385 55998\n45011 67419\n97585 100000\n97695 100000\n74574 100000\n78531 100000\n12270 18361\n93843 100000\n36454 54586\n21512 32174\n18433 27552\n2079 3117\n66560 99836\n51094 76590\n63916 95860\n56623 84872\n77901 100000\n54382 81519\n25289 37849\n7662 11426\n78496 100000\n19276 28827\n23451 35099\n21217 31732\n43543 65259\n56862 85233\n29118 43531\n11485 17155\n72039 100000\n99763 100000\n56257 84315\n90909 100000\n36685 54943\n78461 100000\n73931 100000\n75601 100000\n98518 100000\n12977 19404\n40439 60581\n48253 72321\n81596 100000\n36929 55303\n25680 38435\n45569 68263\n75663 100000\n83272 100000\n19416 29033\n55866 83728\n16186 24197\n78266 100000\n23670 35428\n62621 93916\n18454 27586\n94820 100000\n60498 90720\n61864 92795\n38928 58299\n98679 100000\n53520 80228\n31705 47443\n74897 100000\n96357 100000\n26229 39261\n80098 100000\n78884 100000\n85780 100000\n80860 100000\n61337 92000\n70503 100000\n16699 24950\n97106 100000\n48790 73120\n29507 44119\n12549 18763\n60098 90105\n28364 42426\n1691 2521\n22477 33639\n36806 55123\n60692 91020\n3144 4682\n69282 100000\n59171 88689\n3887 5774\n11681 17462\n82040 100000\n50505 75704\n8218 12232\n40312 60390\n94404 100000\n2770 4128\n91761 100000\n87729 100000\n88510 100000\n71033 100000\n24680 36947\n54270 81354\n12847 19213\n70704 100000\n77419 100000\n53525 80234\n61145 91696\n51940 77855\n95654 100000\n88720 100000\n60721 91063\n31739 47495\n2304 3449\n39453 59111\n27838 41638\n61265 91885\n92428 100000\n7689 11467\n84987 100000\n15877 23739\n45360 67956\n1230 1840\n52778 79128\n52895 79308\n35809 53600\n42443 63602\n43857 65730\n47968 71900\n71409 100000\n49338 73955\n24808 37140\n56598 84832\n71647 100000\n58570 87793\n11568 17284\n59443 89099\n68502 100000\n96148 100000\n18873 28220\n69706 100000\n78533 100000\n64512 96739\n30715 45949\n79552 100000\n8514 12685\n43756 65576\n61687 92531\n4500 6694\n92232 100000\n23976 35881\n48049 72022\n83644 100000\n43780 65609\n29140 43564\n89224 100000\n47356 70981\n52829 79207\n27951 41800\n9047 13494\n52974 79432\n84343 100000\n64420 96605\n92053 100000\n86874 100000\n66870 100000\n20240 30243\n84840 100000\n88028 100000\n31620 47313\n96966 100000\n10572 15778\n68060 100000\n86155 100000\n81398 100000\n63965 95931\n39219 58747\n62932 94385\n48967 73387\n45421 68047\n53760 80597\n83964 100000\n61416 92119\n23317 34908\n63171 94747\n93205 100000\n61969 92956\n44963 67350\n59932 89848\n55836 83680\n92130 100000\n94211 100000\n37037 55467\n74108 100000\n45866 68715\n93837 100000\n2824 4212\n6142 9160\n49485 74181\n2577 3860\n36944 55324\n66741 100000\n11003 16420\n65321 97975\n92996 100000\n6405 9548\n63819 95706\n31894 47725\n15981 23900\n2569 3850\n73736 100000\n11323 16903\n37295 55856\n50392 75542\n35606 53289\n92959 100000\n39808 59632\n13686 20454\n18232 27252\n71634 100000\n1045 1564\n83461 100000\n75387 100000\n7830 11664\n66160 99237\n31083 46500\n90862 100000\n42821 64159\n66860 100000\n35274 52772\n87380 100000\n66824 100000\n78480 100000\n99481 100000\n44210 66251\n40125 60108\n60337 90477\n58669 87947\n92864 100000\n83196 100000\n84830 100000\n34717 51938\n61988 92980\n95621 100000\n36979 55376\n20537 30704\n91269 100000\n69593 100000\n39131 58611\n31384 46957\n18343 27423\n10733 16011\n69983 100000\n15118 22586\n81411 100000\n88256 100000\n83485 100000\n51611 77364\n50825 76187\n70308 100000\n88929 100000\n65105 97631\n75217 100000\n75922 100000\n47297 70892\n3246 4837\n94098 100000\n68921 100000\n93162 100000\n22213 33237\n15685 23446\n30808 46093\n25693 38455\n44405 66526\n34121 51043\n90338 100000\n86996 100000\n13212 19758\n91561 100000\n89083 100000\n84461 100000\n14841 22174\n45687 68446\n56337 84437\n51620 77376\n84766 100000\n20781 31081\n37933 56811\n15221 22741\n62414 93611\n67400 100000\n41622 62370\n47670 71443\n71667 100000\n10392 15514\n35315 52830\n54640 81897\n10883 16241\n89063 100000\n48644 72898\n70906 100000\n82059 100000\n94213 100000\n66999 100000\n61371 92053\n93915 100000\n30914 46259\n52840 79224\n8437 12558\n44997 67401\n30070 44976\n6561 9775\n16397 24506\n90433 100000\n26662 39918\n65662 98486\n88878 100000\n72267 100000\n66965 100000\n36970 55365\n61360 92037\n39634 59372\n51301 76903\n49736 74556\n89834 100000\n74634 100000\n59946 89869\n59056 88520\n83415 100000\n46251 69295\n39314 58890\n49363 73993\n63264 94885\n61351 92023\n78458 100000\n13396 20027\n62161 93242\n91604 100000\n38342 57431\n10803 16115\n49703 74508\n93008 100000\n76631 100000\n8768 13064\n64300 96420\n35750 53506\n99515 100000\n5362 7987\n94673 100000\n67434 100000\n37008 55422\n24588 36812\n23660 35413\n16926 25291\n43385 65017\n93953 100000\n55453 83113\n3420 5080\n57137 85632\n52983 79448\n84596 100000\n4865 7234\n78732 100000\n61650 92468\n23173 34683\n60020 89985\n94566 100000\n82452 100000\n88437 100000\n84807 100000\n81163 100000\n90953 100000\n57389 86008\n20487 30629\n78305 100000\n16190 24204\n61911 92869\n6814 10152\n33419 49986\n7163 10683\n94150 100000\n30571 45725\n54252 81326\n1180 1763\n38003 56918\n16462 24603\n90333 100000\n48720 73008\n19324 28898\n66922 100000\n4065 6034\n46662 69924\n79872 100000\n35383 52940\n26233 39267\n23158 34659\n24631 36878\n75890 100000\n45546 68232\n4423 6580\n87679 100000\n77824 100000\n45739 68525\n18204 27209\n49292 73882\n69849 100000\n94661 100000\n43124 64621\n11685 17468\n91093 100000\n40705 61000\n60305 90427\n42260 63326\n37483 56146\n48268 72344\n77280 100000\n59347 88956\n64246 96338\n85775 100000\n29204 43660\n3643 5417\n30132 45071\n83238 100000\n40762 61089\n97627 100000\n6718 10005\n12864 19239\n14567 21763\n10889 16251\n80466 100000\n20843 31169\n3925 5826\n14220 21247\n17769 26561\n83346 100000\n2718 4057\n39252 58795\n58320 87425\n62695 94026\n77269 100000\n23742 35528\n17642 26365\n9328 13907\n44443 66582\n23566 35273\n52325 78431\n5835 8690\n60972 91436\n37419 56045\n1842 2754\n33339 49867\n35803 53589\n33590 50243\n8328 12398\n36578 54779\n84460 100000\n54604 81847\n99469 100000\n78906 100000\n69576 100000\n89067 100000\n3116 4642\n28198 42174\n7013 10457\n94564 100000\n45718 68495\n54502 81699\n87574 100000\n20844 31170\n1924 2878\n61148 91700\n80878 100000\n1692 2522\n32367 48429\n91408 100000\n30285 45297\n80707 100000\n72188 100000\n47422 71075\n67640 100000\n57996 86930\n74026 100000\n93964 100000\n90135 100000\n9326 13904\n86534 100000\n67920 100000\n61862 92793\n2771 4129\n90527 100000\n83562 100000\n4939 7346\n373 547\n9050 13498\n91461 100000\n44358 66458\n11901 17800\n99966 100000\n66211 99315\n90379 100000\n99714 100000\n37484 56148\n52216 78271\n50932 76348\n39174 58676\n66150 99220\n32820 49087\n16286 24346\n17662 26401\n98323 100000\n22547 33745\n99116 100000\n20494 30640\n49914 74829\n92941 100000\n94368 100000\n56359 84473\n62189 93281\n53321 79939\n18186 27184\n42340 63442\n5023 7477\n47114 70614\n11136 16615\n30333 45364\n43395 65033\n72472 100000\n91099 100000\n4707 6995\n28787 43044\n63929 95879\n25453 38098\n3076 4584\n51988 77929\n9181 13690\n36983 55384\n23104 34584\n43777 65604\n8325 12394\n67845 100000\n11975 17912\n64872 97280\n1415 2118\n42755 64062\n56207 84243\n81663 100000\n23981 35889\n76413 100000\n87601 100000\n63696 95513\n70086 100000\n74502 100000\n48024 71981\n97626 100000\n4133 6145\n67196 100000\n7714 11507\n41695 62475\n35311 52826\n23778 35581\n45043 67462\n6774 10085\n73806 100000\n98521 100000\n90604 100000\n40024 59957\n84625 100000\n26867 40208\n15224 22745\n69123 100000\n73624 100000\n4837 7192\n85340 100000\n42506 63691\n99719 100000\n4751 7062\n77958 100000\n26154 39153\n47135 70648\n31763 47529\n44012 65955\n71534 100000\n37821 56639\n76402 100000\n49978 74927\n88393 100000\n96044 100000\n27330 40893\n17927 26801\n45301 67869\n73338 100000\n17770 26562\n721 1077\n84549 100000\n10233 15268\n99411 100000\n83875 100000\n52766 79106\n56538 84748\n5931 8834\n44235 66284\n4872 7244\n83183 100000\n47924 71833\n83681 100000\n4485 6673\n29073 43470\n66562 99839\n19352 28944\n60103 90114\n84576 100000\n59899 89795\n39767 59568\n9544 14239\n88562 100000\n31870 47690\n50618 75864\n95666 100000\n37896 56757\n19369 28968\n99454 100000\n67662 100000\n43605 65354\n76796 100000\n77539 100000\n84856 100000\n6990 10423\n13647 20400\n14515 21684\n98800 100000\n10768 16063\n39308 58880\n38084 57043\n36387 54490\n36871 55223\n73906 100000\n99303 100000\n33168 49618\n57885 86762\n4557 6773\n15401 23011\n5870 8744\n80064 100000\n80400 100000\n35302 52813\n51078 76567\n10486 15656\n3354 4984\n37946 56827\n27190 40688\n98968 100000\n49097 73586\n74825 100000\n78144 100000\n95012 100000\n58032 86984\n46061 69014\n54960 82380\n6811 10147\n14442 21571\n38633 57867\n14325 21402\n4415 6567\n22406 33534\n39701 59472\n18653 27883\n98132 100000\n54138 81158\n23130 34621\n69541 100000\n44948 67326\n53796 80651\n41962 62883\n91244 100000\n88826 100000\n30422 45501\n87617 100000\n86355 100000\n12972 19397\n22386 33510\n27515 41161\n5962 8880\n29237 43712\n98738 100000\n94559 100000\n48226 72279\n73333 100000\n2623 3926\n11021 16448\n6437 9592\n83663 100000\n53439 80108\n8538 12724\n79218 100000\n70319 100000\n11817 17671\n55531 83228\n92521 100000\n53240 79818\n39130 58610\n45235 67766\n86984 100000\n45294 67859\n57559 86266\n33229 49703\n88546 100000\n73749 100000\n16384 24487\n16613 24827\n33596 50252\n17773 26566\n65664 98489\n58949 88362\n37672 56428\n88969 100000\n8313 12374\n76195 100000\n34350 51394\n37071 55517\n71048 100000\n99196 100000\n66714 100000\n93984 100000\n47642 71400\n70842 100000\n43101 64587\n79580 100000\n91395 100000\n97615 100000\n32860 49148\n82788 100000\n55172 82688\n12710 19005\n30779 46047\n90754 100000\n5997 8933\n57267 85826\n62624 93921\n35717 53451\n52317 78420\n22328 33417\n4672 6946\n64184 96252\n32197 48181\n34200 51160\n95053 100000\n21746 32527\n31529 47179\n85354 100000\n18821 28138\n38825 58152\n19985 29876\n90881 100000\n15165 22654\n22706 33982\n87917 100000\n88201 100000\n74593 100000\n31610 47298\n73816 100000\n67970 100000\n24905 37277\n24058 36005\n92342 100000\n2922 4362\n70438 100000\n49765 74602\n66131 99194\n35558 53218\n60036 90011\n97195 100000\n42356 63466\n85065 100000\n27934 41775\n8616 12840\n83725 100000\n45134 67614\n98737 100000\n82448 100000\n29314 43824\n66004 99003\n97208 100000\n99669 100000\n91514 100000\n41749 62558\n85921 100000\n87949 100000\n51507 77206\n19413 29029\n95650 100000\n34061 50949\n28399 42477\n43849 65716\n72049 100000\n14744 22028\n3696 5494\n53269 79859\n17270 25801\n16997 25397\n9937 14833\n32040 47943\n61499 92239\n91641 100000\n10369 15476\n37867 56711\n62396 93583\n68874 100000\n46258 69305\n15393 22996\n96197 100000\n75210 100000\n41468 62148\n64428 96616\n36393 54498\n59298 88887\n85600 100000\n12752 19071\n16294 24355\n15420 23040\n80755 100000\n49720 74533\n37374 55980\n36386 54488\n56462 84625\n34807 52068\n7839 11679\n8961 13366\n42913 64306\n52034 77993\n11871 17759\n36732 55013\n18906 28266\n98021 100000\n66043 99062\n21938 32823\n64903 97326\n58121 87119\n24310 36386\n13383 20009\n41890 62771\n30661 45866\n47384 71022\n88419 100000\n61959 92938\n6724 10014\n65645 98464\n5767 8584\n55277 82847\n97735 100000\n11446 17090\n3640 5413\n11307 16880\n93200 100000\n66357 99533\n84848 100000\n81622 100000\n30771 46036\n67508 100000\n79843 100000\n27545 41201\n53195 79747\n55013 82454\n39423 59063\n50441 75608\n24671 36934\n57776 86599\n9223 13749\n82106 100000\n78101 100000\n7263 10827\n85437 100000\n65975 98959\n73573 100000\n12382 18519\n18526 27692\n38247 57280\n81924 100000\n98417 100000\n87010 100000\n52943 79385\n12368 18496\n20380 30469\n24630 36877\n23928 35812\n32148 48106\n48479 72657\n95604 100000\n54232 81296\n25986 38896\n86452 100000\n72454 100000\n44746 67025\n24471 36637\n37881 56734\n55492 83170\n97624 100000\n64146 96193\n46021 68953\n65576 98362\n22739 34034\n56452 84611\n74721 100000\n64307 96431\n4947 7357\n7668 11434\n4780 7107\n61004 91483\n40713 61014\n33043 49427\n68262 100000\n50394 75544\n74616 100000\n62074 93113\n25421 38050\n11849 17724\n33382 49934\n82995 100000\n5229 7787\n21345 31925\n37052 55487\n39519 59212\n39310 58883\n60115 90133\n19714 29478\n19272 28821\n64882 97293\n15556 23253\n92493 100000\n7929 11808\n59511 89204\n8148 12127\n3514 5220\n9914 14799\n28697 42909\n31982 47861\n47013 70461\n60407 90579\n93254 100000\n88631 100000\n37056 55492\n78475 100000\n75328 100000\n6746 10042\n41900 62786\n24980 37389\n3423 5085\n12928 19333\n73552 100000\n22374 33489\n44199 66237\n65976 98960\n45106 67569\n57839 86692\n43110 64599\n49667 74455\n85332 100000\n34049 50931\n98161 100000\n67135 100000\n5401 8048\n57002 85438\n56239 84291\n44048 66007\n70261 100000\n47336 70948\n49311 73909\n63534 95279\n53682 80477\n18345 27426\n67021 100000\n70528 100000\n96029 100000\n95502 100000\n58180 87209\n24501 36682\n33259 49749\n26707 39979\n47307 70906\n62844 94251\n92154 100000\n66281 99417\n59275 88851\n84519 100000\n96078 100000\n23661 35414\n32549 48687\n96478 100000\n68092 100000\n29605 44271\n55246 82801\n38680 57936\n94255 100000\n77842 100000\n23076 34541\n40912 61319\n26822 40148\n60839 91238\n42580 63800\n4078 6054\n74077 100000\n26768 40071\n26652 39899\n63635 95420\n99061 100000\n84778 100000\n23733 35516\n52031 77989\n46588 69809\n98428 100000\n78044 100000\n17193 25687\n20155 30120\n70175 100000\n79101 100000\n463 692\n37226 55751\n15250 22786\n13130 19638\n75036 100000\n1678 2501\n33674 50371\n58261 87331\n13286 19865\n80944 100000\n98779 100000\n52291 78379\n83760 100000\n44417 66540\n205 305\n5186 7727\n11275 16831\n27670 41389\n89780 100000\n5700 8482\n8434 12554\n9957 14862\n40006 59930\n11785 17623\n53019 79500\n95111 100000\n95935 100000\n65861 98782\n54374 81510\n26226 39258\n306 449\n53356 79987\n9142 13632\n27104 40561\n86797 100000\n96769 100000\n57183 85700\n49982 74932\n84645 100000\n36072 54003\n36665 54909\n11551 17259\n43651 65416\n1424 2134\n96597 100000\n52536 78749\n41738 62540\n53850 80728\n21895 32763\n87315 100000\n53609 80365\n10499 15671\n9865 14724\n46362 69464\n95661 100000\n98389 100000\n17303 25852\n98827 100000\n69967 100000\n59868 89754\n40738 61052\n63585 95351\n67275 100000\n50210 75263\n45465 68112\n72861 100000\n30851 46163\n4982 7415\n80665 100000\n55481 83152\n77703 100000\n18765 28056\n85042 100000\n24496 36674\n92363 100000\n92922 100000\n32682 48882\n50602 75842\n24271 36325\n88039 100000\n73098 100000\n9476 14132\n89347 100000\n70202 100000\n9751 14550\n76343 100000\n20103 30047\n29301 43806\n87570 100000\n32848 49130\n22195 33209\n61583 92366\n13172 19700\n93220 100000\n82663 100000\n74839 100000\n32821 49089\n5271 7849\n16763 25048\n94306 100000\n25673 38425\n31084 46502\n34826 52099\n67680 100000\n24448 36602\n79430 100000\n32074 47993\n74505 100000\n2434 3643\n57651 86411\n44652 66882\n67274 100000\n47490 71178\n25855 38699\n41211 61770\n14943 22333\n16803 25105\n61084 91606\n50585 75818\n8668 12914\n82281 100000\n21640 32372\n47854 71728\n17500 26156\n35140 52573\n82520 100000\n90653 100000\n52062 78039\n46653 69909\n7135 10641\n1964 2940\n63667 95467\n24866 37220\n95339 100000\n85287 100000\n91843 100000\n7630 11377\n44740 67015\n36215 54230\n87668 100000\n60624 90912\n87054 100000\n48138 72155\n66299 99447\n52896 79310\n58459 87629\n92255 100000\n19068 28510\n49487 74184\n16301 24365\n9129 13613\n77524 100000\n93944 100000\n73923 100000\n43704 65499\n28445 42546\n45677 68429\n16591 24793\n54242 81312\n9597 14317\n17383 25979\n93977 100000\n16504 24668\n40417 60547\n3208 4782\n48189 72229\n39549 59253\n86884 100000\n68047 100000\n49296 73886\n27151 40634\n36143 54117\n72370 100000\n88073 100000\n33253 49739\n89077 100000\n29371 43912\n53805 80664\n33628 50300\n3935 5845\n91785 100000\n15307 22868\n93946 100000\n36955 55341\n81307 100000\n14572 21769\n6377 9505\n33153 49598\n50207 75258\n17741 26522\n10834 16160\n33767 50508\n54649 81909\n67623 100000\n73362 100000\n90173 100000\n75258 100000\n97944 100000\n80839 100000\n92247 100000\n34617 51791\n62259 93388\n49741 74564\n10097 15073\n82684 100000\n23113 34597\n34548 51689\n30880 46209\n51167 76702\n83872 100000\n72800 100000\n22720 34004\n43720 65520\n97425 100000\n95095 100000\n19257 28799\n73528 100000\n90458 100000\n35352 52891\n70572 100000\n2339 3502\n31553 47214\n59642 89411\n91096 100000\n53307 79918\n37258 55798\n83797 100000\n59979 89919\n53475 80161\n25120 37601\n59647 89417\n98290 100000\n39785 59598\n54530 81745\n40888 61284\n80396 100000\n77416 100000\n13198 19741\n2566 3846\n65618 98426\n75747 100000\n97545 100000\n75862 100000\n48014 71965\n85528 100000\n45236 67768\n16819 25128\n12720 19022\n16293 24354\n35961 53829\n9412 14037\n89946 100000\n95839 100000\n24450 36604\n2378 3560\n11890 17786\n50941 76362\n91590 100000\n51171 76708\n77917 100000\n88037 100000\n8829 13163\n58652 87921\n85808 100000\n33407 49967\n85489 100000\n13397 20028\n84681 100000\n47420 71072\n59855 89735\n12995 19429\n64156 96208\n33396 49952\n21333 31908\n73765 100000\n76716 100000\n99529 100000\n50476 75661\n20884 31229\n61309 91956\n97733 100000\n44109 66101\n8368 12459\n15606 23328\n98706 100000\n6765 10069\n66462 99691\n52310 78410\n74772 100000\n36641 54875\n71638 100000\n98802 100000\n58124 87124\n85032 100000\n59178 88700\n24707 36986\n61588 92374\n35020 52396\n6992 10426\n1983 2972\n48128 72141\n26381 39496\n43083 64563\n27679 41402\n1 2\n23563 35268\n64953 97400\n20332 30395\n38933 58306\n72119 100000\n78162 100000\n74196 100000\n94907 100000\n82687 100000\n14004 20930\n39812 59640\n98267 100000\n15894 23763\n84261 100000\n7427 11077\n50226 75286\n72959 100000\n89865 100000\n81433 100000\n82110 100000\n11996 17947\n20505 30659\n74506 100000\n81947 100000\n80512 100000\n54501 81697\n41530 62239\n36562 54752\n74728 100000\n10935 16315\n35595 53272\n64376 96537\n61723 92587\n42796 64119\n59017 88460\n76976 100000\n70838 100000\n85141 100000\n98490 100000\n61745 92621\n18963 28351\n70478 100000\n65368 98049\n2068 3099\n87532 100000\n24455 36613\n40586 60818\n14889 22251\n84780 100000\n92566 100000\n51799 77647\n3382 5028\n6859 10222\n25581 38290\n99562 100000\n25980 38887\n96383 100000\n32622 48793\n5752 8561\n92270 100000\n60175 90221\n90208 100000\n33476 50073\n67691 100000\n12973 19399\n38104 57071\n5327 7930\n51869 77748\n45476 68129\n26949 40332\n65439 98157\n82593 100000\n99073 100000\n30793 46069\n10323 15404\n80343 100000\n90656 100000\n96205 100000\n15627 23358\n93027 100000\n22405 33533\n52218 78274\n93212 100000\n43782 65613\n87192 100000\n61669 92503\n93 137\n87485 100000\n86824 100000\n17092 25539\n30537 45672\n96970 100000\n65029 97514\n12918 19318\n52855 79246\n27925 41762\n9849 14702\n49597 74353\n72526 100000\n89765 100000\n43358 64971\n94819 100000\n79597 100000\n69346 100000\n49613 74377\n59621 89378\n46937 70342\n12842 19206\n11886 17781\n58341 87449\n42093 63081\n16973 25363\n60062 90053\n90812 100000\n2584 3869\n35476 53089\n87091 100000\n71611 100000\n35043 52430\n4597 6835\n60294 90410\n29994 44864\n11469 17128\n49786 74636\n23856 35703\n90581 100000\n78773 100000\n40871 61257\n36376 54473\n53667 80453\n5072 7554\n96949 100000\n98588 100000\n4047 6012\n19173 28670\n63770 95631\n44341 66437\n59557 89277\n37480 56141\n84266 100000\n9221 13747\n29811 44588\n26743 40033\n76503 100000\n17291 25834\n42961 64380\n28073 41986\n75061 100000\n64166 96222\n41051 61532\n39916 59792\n26203 39223\n56570 84796\n72481 100000\n15037 22467\n88645 100000\n30746 45999\n77100 100000\n86053 100000\n61086 91609\n65097 97620\n32761 48998\n95555 100000\n98119 100000\n47438 71102\n94852 100000\n72741 100000\n50961 76393\n48970 73391\n57320 85903\n20114 30064\n4469 6646\n30877 46205\n88910 100000\n57361 85967\n21393 31995\n28627 42802\n18387 27485\n67351 100000\n91937 100000\n89543 100000\n1910 2859\n54815 82162\n750 1120\n33151 49595\n440 656\n57985 86910\n96250 100000\n46374 69484\n25002 37425\n30696 45916\n66533 99797\n52342 78453\n53261 79849\n50291 75387\n7128 10628\n22784 34103\n14159 21158\n82628 100000\n12523 18724\n5494 8187\n21011 31419\n59130 88627\n15521 23198\n27393 40984\n42042 63005\n19480 29129\n7108 10596\n30159 45108\n41994 62933\n60083 90085\n92323 100000\n91688 100000\n8542 12731\n16003 23929\n24087 36047\n64272 96380\n27452 41069\n40231 60270\n44569 66765\n77057 100000\n912 1364\n42281 63358\n22867 34233\n58169 87192\n97999 100000\n47086 70570\n28872 43170\n78714 100000\n85062 100000\n29002 43360\n63172 94749\n34085 50989\n31145 46589\n53428 80091\n78271 100000\n2045 3064\n8446 12573\n89541 100000\n51720 77529\n91419 100000\n46210 69232\n97411 100000\n70912 100000\n66595 99890\n72459 100000\n38149 57137\n34288 51303\n66228 99341\n48617 72859\n78966 100000\n93166 100000\n73181 100000\n59614 89367\n75505 100000\n36079 54015\n49175 73709\n92468 100000\n63334 94990\n19051 28485\n81143 100000\n72607 100000\n47917 71823\n99326 100000\n86207 100000\n335 493\n64571 96827\n26067 39011\n52624 78884\n47527 71236\n77670 100000\n14781 22080\n10963 16360\n3790 5633\n64691 97008\n5845 8705\n66090 99135\n24559 36770\n69143 100000\n51859 77735\n97089 100000\n62159 93239\n24322 36406\n56780 85110\n66038 99053\n71148 100000\n1589 2368\n59293 88879\n58823 88182\n93463 100000\n23983 35893\n17236 25750\n85744 100000\n94609 100000\n57629 86378\n31003 46384\n56731 85034\n85767 100000\n87182 100000\n48277 72358\n86553 100000\n80197 100000\n1443 2160\n12566 18786\n75999 100000\n75035 100000\n98049 100000\n94453 100000\n12372 18502\n47588 71326\n2341 3505\n37329 55912\n28147 42099\n87991 100000\n44373 66477\n66815 100000\n88661 100000\n18374 27468\n22447 33595\n89905 100000\n84886 100000\n55249 82807\n55257 82817\n8017 11933\n27526 41176\n58091 87076\n28065 41972\n7222 10772\n56229 84276\n61878 92819\n15860 23712\n31724 47473\n5544 8261\n24736 37029\n15592 23306\n55371 82988\n82292 100000\n63046 94555\n35736 53486\n21832 32662\n21491 32143\n93684 100000\n83906 100000\n69719 100000\n57403 86030\n79643 100000\n55081 82555\n49548 74276\n28752 42993\n78314 100000\n12122 18140\n12130 18150\n21029 31443\n36637 54869\n50375 75516\n12887 19272\n64488 96702\n93529 100000\n46270 69321\n48905 73293\n67888 100000\n9252 13794\n9798 14620\n7251 10812\n53150 79681\n54225 81286\n13790 20617\n73311 100000\n21845 32685\n64241 96331\n13910 20791\n18168 27158\n20780 31080\n17451 26086\n89785 100000\n63961 95924\n56602 84840\n51331 76949\n42368 63487\n14285 21344\n99254 100000\n33639 50316\n5337 7946\n51732 77548\n88667 100000\n44029 65979\n38211 57226\n99745 100000\n11774 17607\n43948 65864\n24306 36379\n56797 85134\n40953 61381\n4363 6490\n73439 100000\n58842 88207\n55624 83359\n85263 100000\n14014 20945\n31135 46574\n66298 99445\n93409 100000\n46840 70195\n36683 54940\n45290 67852\n34544 51684\n47351 70973\n23593 35312\n88125 100000\n28426 42519\n89425 100000\n47329 70937\n62427 93630\n37219 55741\n97063 100000\n37627 56360\n62661 93977\n45521 68195\n11741 17554\n23533 35223\n98386 100000\n45817 68641\n70023 100000\n16510 24677\n6936 10340\n30253 45251\n43374 64998\n21103 31558\n12144 18171\n66394 99589\n22593 33815\n59009 88450\n91675 100000\n66306 99455\n92612 100000\n16488 24643\n23269 34835\n52785 79140\n78087 100000\n97966 100000\n35281 52782\n69018 100000\n43280 64854\n98842 100000\n69069 100000\n77763 100000\n39571 59283\n65329 97987\n39425 59067\n74344 100000\n79029 100000\n51459 77134\n83979 100000\n2464 3687\n52743 79072\n59194 88725\n65386 98076\n76715 100000\n45550 68238\n1290 1935\n10000 14928\n5316 7913\n87519 100000\n94494 100000\n33615 50280\n16783 25075\n34119 51040\n10810 16128\n94846 100000\n45560 68252\n21140 31617\n44325 66411\n14174 21180\n22948 34360\n53585 80330\n28339 42390\n44311 66391\n60747 91103\n85085 100000\n11727 17534\n41586 62316\n24387 36508\n32565 48709\n41798 62628\n90426 100000\n84209 100000\n51901 77797\n75825 100000\n1962 2937\n4239 6304\n58950 88363\n6978 10403\n98654 100000\n8143 12120\n62149 93224\n87317 100000\n29225 43694\n26805 40125\n6435 9589\n89323 100000\n2599 3891\n84425 100000\n21920 32799\n6850 10207\n65864 98786\n90850 100000\n1695 2527\n67080 100000\n53354 79983\n35947 53808\n69841 100000\n54131 81147\n29583 44236\n44728 66996\n93889 100000\n85824 100000\n65291 97923\n12599 18838\n33292 49799\n69950 100000\n49878 74774\n71437 100000\n76940 100000\n45138 67619\n15038 22468\n15462 23109\n73368 100000\n34468 51574\n39959 59859\n50500 75696\n17831 26664\n47120 70624\n58687 87973\n43598 65344\n85314 100000\n45347 67939\n7303 10893\n90357 100000\n26140 39131\n47062 70534\n56408 84545\n56573 84799\n80038 100000\n20323 30383\n70245 100000\n24264 36317\n16782 25074\n30148 45091\n70855 100000\n90344 100000\n41111 61618\n39210 58735\n66554 99827\n56469 84638\n49217 73772\n52705 79010\n38125 57099\n97567 100000\n96299 100000\n40362 60468\n45869 68719\n89478 100000\n92029 100000\n68788 100000\n29827 44614\n15000 22414\n79989 100000\n98870 100000\n23838 35677\n98649 100000\n42474 63645\n18228 27246\n23024 34470\n62529 93779\n32925 49246\n86017 100000\n93432 100000\n98610 100000\n33090 49499\n32630 48805\n91747 100000\n93562 100000\n59064 88531\n12180 18222\n75670 100000\n17580 26274\n47153 70676\n29907 44731\n57354 85957\n34100 51012\n33066 49464\n72837 100000\n28513 42637\n27144 40625\n80698 100000\n43923 65829\n33080 49484\n42806 64136\n24830 37171\n21205 31714\n77044 100000\n4385 6523\n89033 100000\n37641 56382\n56920 85319\n92528 100000\n11972 17909\n52008 77956\n33946 50783\n64349 96494\n9354 13949\n52622 78881\n57056 85521\n68896 100000\n3878 5760\n7449 11107\n72305 100000\n61101 91628\n67943 100000\n48527 72725\n29626 44306\n31955 47818\n1641 2441\n76411 100000\n27327 40888\n44696 66952\n56209 84246\n22036 32969\n20210 30199\n99936 100000\n9103 13575\n43779 65607\n33051 49441\n81483 100000\n95546 100000\n23015 34458\n31637 47336\n19748 29531\n71136 100000\n13422 20071\n67421 100000\n26404 39530\n20686 30934\n53916 80825\n12319 18429\n33765 50506\n49118 73622\n30226 45211\n55644 83387\n972 1452\n8274 12313\n79844 100000\n58888 88270\n29696 44415\n20344 30413\n76725 100000\n35186 52641\n39562 59270\n49098 73588\n16267 24320\n67965 100000\n17412 26023\n66966 100000\n12490 18676\n59309 88902\n70372 100000\n77359 100000\n11123 16596\n87105 100000\n7936 11817\n30099 45019\n45409 68027\n65250 97856\n2810 4192\n70627 100000\n60867 91278\n35945 53806\n72366 100000\n88411 100000\n93939 100000\n87552 100000\n20495 30642\n37351 55943\n30713 45946\n91669 100000\n56198 84229\n89682 100000\n15322 22891\n28498 42615\n78953 100000\n7848 11692\n3300 4912\n74519 100000\n22657 33909\n79361 100000\n59731 89545\n28677 42879\n62590 93866\n40397 60520\n61383 92068\n91734 100000\n99935 100000\n27897 41721\n17149 25622\n52033 77991\n78973 100000\n65671 98501\n15456 23100\n52400 78542\n23710 35484\n40324 60411\n13895 20768\n40354 60456\n22345 33444\n1596 2377\n2856 4260\n83929 100000\n47479 71162\n8248 12278\n61211 91795\n30951 46314\n53822 80688\n34737 51968\n80498 100000\n45759 68557\n7448 11106\n91900 100000\n88529 100000\n34143 51076\n54784 82115\n12415 18566\n64396 96569\n41633 62385\n27565 41231\n95500 100000\n48357 72474\n95739 100000\n95278 100000\n95009 100000\n61396 92088\n52374 78501\n38728 58010\n18721 27991\n7582 11304\n64294 96412\n34297 51315\n55365 82978\n76896 100000\n65255 97865\n50543 75764\n46330 69414\n94822 100000\n62297 93443\n10897 16261\n7022 10469\n88890 100000\n22363 33472\n12774 19103\n32092 48022\n42052 63017\n61128 91667\n85504 100000\n38622 57853\n17226 25736\n52324 78429\n35464 53072\n42181 63208\n10577 15786\n17827 26658\n22143 33134\n59880 89768\n21719 32491\n55566 83277\n52170 78199\n62288 93428\n27596 41280\n87536 100000\n25953 38848\n8297 12348\n53112 79627\n66054 99077\n33437 50015\n70105 100000\n54051 81022\n20803 31110\n8874 13232\n32698 48904\n57501 86182\n79217 100000\n58726 88027\n10466 15628\n2565 3844\n22356 33462\n40165 60165\n44436 66571\n96834 100000\n78351 100000\n5444 8113\n81922 100000\n62968 94436\n93945 100000\n27090 40538\n65087 97603\n81777 100000\n48223 72274\n80714 100000\n49352 73977\n75230 100000\n9743 14537\n80267 100000\n20702 30961\n48082 72071\n89370 100000\n33966 50811\n37250 55786\n75992 100000\n43888 65776\n72901 100000\n55426 83071\n45124 67597\n51164 76697\n95126 100000\n84416 100000\n92491 100000\n4162 6190\n37406 56026\n30560 45708\n92989 100000\n46914 70309\n2164 3240\n31590 47270\n67757 100000\n19885 29731\n39056 58495\n90193 100000\n62212 93318\n971 1451\n23431 35071\n52213 78267\n92483 100000\n53192 79742\n92636 100000\n92961 100000\n49771 74612\n56345 84450\n14647 21884\n84253 100000\n91644 100000\n84891 100000\n33101 49518\n38343 57432\n95698 100000\n85003 100000\n21106 31563\n20854 31186\n43533 65245\n73022 100000\n1909 2858\n7932 11813\n68056 100000\n10300 15368\n49830 74702\n70071 100000\n36870 55222\n57639 86393\n92370 100000\n76636 100000\n16177 24183\n25418 38045\n88409 100000\n36418 54531\n50428 75590\n25137 37623\n84828 100000\n31966 47836\n56767 85086\n69805 100000\n68305 100000\n67115 100000\n62597 93878\n30139 45080\n91386 100000\n79132 100000\n86968 100000\n87361 100000\n96494 100000\n83877 100000\n48600 72835\n99728 100000\n24586 36809\n89253 100000\n23653 35402\n58818 88174\n23855 35701\n67181 100000\n72951 100000\n7881 11741\n22937 34344\n63045 94553\n102 149\n2147 3214\n24811 37144\n80089 100000\n41891 62773\n30687 45904\n90982 100000\n33793 50549\n38102 57068\n42085 63068\n86244 100000\n51777 77612\n18661 27896\n71042 100000\n41813 62652\n55674 83431\n19120 28592\n50744 76063\n91423 100000\n33736 50464\n37605 56327\n32253 48265\n51472 77154\n9068 13520\n3770 5605\n81837 100000\n86436 100000\n4134 6146\n33859 50648\n64148 96197\n63383 95056\n54637 81892\n20672 30914\n34908 52224\n90204 100000\n69461 100000\n94737 100000\n80680 100000\n38103 57070\n23853 35698\n57990 86918\n33425 49996\n19738 29516\n814 1219\n97209 100000\n11862 17745\n82173 100000\n23232 34775\n48348 72459\n39207 58730\n42259 63324\n72659 100000\n17875 26734\n57365 85972\n74840 100000\n31997 47882\n98592 100000\n81096 100000\n77952 100000\n22271 33326\n40131 60116\n45836 68668\n43743 65557\n59545 89258\n62197 93295\n92335 100000\n72189 100000\n57410 86041\n50262 75343\n51949 77871\n96407 100000\n35264 52758\n52105 78099\n13861 20716\n28977 43318\n76704 100000\n12278 18375\n61668 92501\n86651 100000\n24181 36192\n45252 67795\n40805 61158\n65862 98783\n78420 100000\n46551 69753\n833 1247\n6632 9877\n2935 4385\n8436 12557\n67319 100000\n72674 100000\n15935 23831\n29798 44570\n93320 100000\n22175 33181\n18425 27539\n63189 94772\n19771 29568\n79782 100000\n52656 78935\n61168 91730\n54153 81179\n84295 100000\n24364 36474\n2674 3998\n10738 16018\n17079 25518\n68148 100000\n15166 22655\n56773 85096\n86862 100000\n39907 59779\n84373 100000\n5453 8126\n91793 100000\n79926 100000\n36137 54108\n95841 100000\n26450 39598\n31043 46441\n4194 6237\n12210 18265\n82883 100000\n71632 100000\n7471 11139\n87170 100000\n58219 87267\n84585 100000\n40562 60778\n85092 100000\n98415 100000\n50527 75740\n82384 100000\n83560 100000\n61726 92591\n5323 7924\n99408 100000\n37723 56502\n15198 22705\n95514 100000\n79294 100000\n49408 74064\n76771 100000\n65808 98706\n38359 57457\n99903 100000\n36588 54793\n19736 29512\n76709 100000\n4788 7117\n89462 100000\n36519 54684\n24636 36885\n56399 84533\n9631 14366\n95058 100000\n85537 100000\n77252 100000\n66258 99382\n61031 91523\n51390 77042\n57734 86540\n96873 100000\n54143 81165\n11833 17696\n30774 46039\n6956 10371\n43260 64822\n24922 37303\n77061 100000\n44190 66223\n79661 100000\n30759 46017\n15677 23436\n38243 57273\n53017 79497\n56596 84828\n8777 13077\n14772 22067\n42255 63320\n975 1457\n56374 84493\n71205 100000\n89902 100000\n22978 34404\n36226 54245\n65614 98418\n33012 49379\n57245 85793\n99924 100000\n54351 81473\n44308 66387\n42370 63490\n59476 89151\n87302 100000\n38076 57029\n28428 42521\n46370 69478\n15975 23891\n87894 100000\n70739 100000\n95923 100000\n13633 20380\n6997 10434\n40498 60669\n813 1217\n62632 93934\n52432 78595\n88116 100000\n4565 6784\n89567 100000\n88423 100000\n54069 81051\n53966 80899\n60183 90236\n3432 5097\n13078 19559\n9106 13580\n82258 100000\n35347 52883\n99492 100000\n57637 86390\n71642 100000\n37299 55864\n58093 87079\n38223 57245\n58618 87866\n71247 100000\n47764 71588\n38536 57727\n70020 100000\n97078 100000\n58979 88406\n43266 64832\n93303 100000\n33113 49535\n32881 49181\n66716 100000\n93762 100000\n55021 82468\n97207 100000\n79100 100000\n7215 10759\n82937 100000\n30865 46185\n5821 8668\n55620 83352\n84063 100000\n52969 79425\n80857 100000\n61872 92807\n26578 39787\n58435 87593\n55043 82500\n37828 56649\n12037 18013\n59001 88440\n63851 95757\n54379 81516\n64170 96227\n13098 19587\n23518 35201\n32011 47900\n41132 61649\n65811 98710\n20185 30165\n9405 14027\n72318 100000\n23880 35742\n54486 81673\n76150 100000\n91746 100000\n44008 65950\n85961 100000\n10142 15134\n40408 60535\n47134 70647\n1771 2643\n55720 83497\n67166 100000\n91315 100000\n72931 100000\n82199 100000\n6882 10260\n20587 30784\n46605 69838\n50917 76325\n25147 37636\n39100 58562\n69386 100000\n29222 43690\n45943 68828\n47507 71203\n85174 100000\n80961 100000\n92461 100000\n11099 16562\n75883 100000\n13714 20496\n80791 100000\n30181 45144\n19752 29537\n90465 100000\n62897 94327\n82839 100000\n36407 54514\n53478 80164\n36582 54784\n10165 15166\n41600 62337\n97819 100000\n79618 100000\n39838 59681\n5571 8295\n41170 61709\n68847 100000\n9701 14471\n55071 82539\n85056 100000\n9664 14415\n43169 64682\n99377 100000\n93370 100000\n25372 37975\n83764 100000\n2934 4383\n37039 55470\n37901 56765\n48551 72761\n86128 100000\n34636 51819\n22796 34122\n13799 20629\n71305 100000\n73087 100000\n65745 98614\n79173 100000\n31176 46634\n80760 100000\n87243 100000\n98465 100000\n57779 86604\n31442 47049\n65074 97580\n13043 19504\n16523 24697\n21157 31640\n13868 20728\n54212 81268\n58933 88335\n98045 100000\n78074 100000\n2104 3154\n48722 73011\n14410 21526\n78290 100000\n90419 100000\n42558 63770\n62040 93062\n63353 95016\n75958 100000\n12955 19372\n90071 100000\n91092 100000\n53095 79601\n59397 89029\n88299 100000\n84035 100000\n46241 69280\n67315 100000\n35719 53454\n67405 100000\n66270 99400\n39705 59478\n82343 100000\n59197 88729\n21664 32408\n72084 100000\n44042 66000\n86466 100000\n83097 100000\n30921 46270\n96982 100000\n74399 100000\n7600 11333\n52559 78784\n32849 49131\n97114 100000\n53467 80149\n74681 100000\n6863 10229\n5830 8681\n34349 51393\n29585 44240\n96123 100000\n32556 48696\n43970 65894\n45499 68161\n46777 70098\n11613 17358\n57857 86719\n36789 55099\n82010 100000\n94825 100000\n47942 71863\n16014 23945\n20728 30999\n71381 100000\n25411 38033\n73860 100000\n20150 30113\n60484 90701\n61898 92848\n20476 30611\n72597 100000\n97941 100000\n53191 79741\n80738 100000\n27424 41029\n44182 66214\n79264 100000\n19029 28451\n7745 11546\n15794 23611\n97996 100000\n97471 100000\n3786 5628\n5604 8344\n85262 100000\n53584 80328\n92949 100000\n47204 70754\n1267 1895\n75139 100000\n79280 100000\n2715 4053\n75940 100000\n51689 77483\n49407 74062\n95912 100000\n37178 55680\n34129 51057\n45804 68623\n82782 100000\n66372 99557\n74691 100000\n97710 100000\n73036 100000\n57608 86343\n61758 92636\n5387 8023\n50523 75735\n34994 52356\n80193 100000\n69679 100000\n20006 29904\n45789 68602\n49596 74351\n38614 57840\n90469 100000\n78868 100000\n10564 15767\n9959 14866\n91356 100000\n8675 12924\n25277 37833\n81900 100000\n81738 100000\n44242 66292\n41285 61869\n20038 29951\n85260 100000\n96803 100000\n66456 99680\n26399 39522\n47235 70801\n27898 41723\n77637 100000\n28477 42587\n83438 100000\n46673 69938\n30198 45169\n21194 31695\n71568 100000\n25280 37837\n70200 100000\n17781 26578\n66016 99020\n25977 38883\n29652 44343\n5948 8862\n94488 100000\n1663 2476\n13374 19994\n6107 9102\n65606 98408\n21480 32128\n46562 69768\n91036 100000\n45044 67463\n94728 100000\n87950 100000\n8661 12905\n26533 39716\n35169 52616\n1900 2847\n83680 100000\n92182 100000\n56792 85125\n29861 44662\n98450 100000\n67179 100000\n27479 41109\n48538 72743\n76846 100000\n43474 65156\n71354 100000\n97296 100000\n79421 100000\n76392 100000\n39340 58931\n9497 14166\n16472 24620\n64566 96820\n24341 36434\n81923 100000\n31423 47018\n62981 94455\n17044 25467\n33830 50604\n20542 30711\n61249 91859\n1564 2334\n84569 100000\n96415 100000\n58233 87286\n52409 78559\n97561 100000\n74739 100000\n39102 58565\n90600 100000\n6904 10295\n17485 26135\n29096 43501\n45321 67898\n48169 72200\n59059 88524\n96036 100000\n64254 96350\n25866 38715\n88640 100000\n90153 100000\n16664 24898\n37956 56842\n7271 10839\n90046 100000\n89439 100000\n45632 68361\n30405 45472\n6700 9975\n34033 50912\n24464 36628\n30564 45713\n78249 100000\n42111 63107\n61430 92140\n17380 25973\n57847 86702\n88555 100000\n67968 100000\n86905 100000\n13671 20432\n34489 51605\n37171 55671\n11674 17450\n41993 62931\n63096 94635\n72717 100000\n23534 35224\n58510 87708\n15926 23817\n8241 12267\n31007 46391\n62949 94407\n55052 82513\n1923 2876\n75440 100000\n37730 56511\n95482 100000\n52203 78252\n89163 100000\n99081 100000\n56250 84305\n49186 73727\n93872 100000\n93067 100000\n50869 76251\n25747 38532\n41218 61779\n27016 40426\n78027 100000\n59033 88485\n78399 100000\n45505 68172\n76495 100000\n42195 63228\n88637 100000\n68517 100000\n80544 100000\n11277 16835\n66982 100000\n42769 64082\n56168 84183\n62618 93912\n30554 45698\n46628 69874\n79731 100000\n21529 32201\n11138 16617\n52087 78076\n4364 6491\n48363 72484\n54133 81150\n10605 15826\n96103 100000\n99910 100000\n56390 84519\n81793 100000\n98547 100000\n18807 28117\n53220 79785\n29739 44476\n12828 19185\n17538 26213\n88119 100000\n21837 32670\n56581 84807\n34438 51529\n61842 92759\n14215 21238\n86214 100000\n35880 53707\n40032 59971\n17691 26446\n78017 100000\n17014 25420\n11055 16497\n37998 56910\n38346 57437\n87997 100000\n51430 77096\n41280 61863\n91468 100000\n45398 68011\n71286 100000\n18567 27754\n65095 97617\n87573 100000\n9804 14631\n98788 100000\n17158 25634\n64160 96215\n53562 80292\n79496 100000\n25398 38015\n48383 72511\n89585 100000\n80793 100000\n15432 23062\n92277 100000\n28167 42129\n33524 50145\n31258 46764\n60340 90481\n62761 94124\n98291 100000\n99726 100000\n54340 81456\n73719 100000\n1817 2713\n25378 37985\n86999 100000\n69465 100000\n73651 100000\n44749 67028\n19643 29375\n44482 66632\n41997 62938\n7148 10660\n42678 63947\n86437 100000\n36597 54806\n25565 38264\n89966 100000\n67719 100000\n42082 63063\n31951 47813\n82773 100000\n25687 38447\n72047 100000\n13082 19565\n8837 13174\n40795 61143\n18671 27914\n84125 100000\n91024 100000\n99869 100000\n99129 100000\n26415 39545\n43550 65268\n98485 100000\n63496 95221\n33136 49572\n42055 63022\n33910 50728\n78674 100000\n12424 18581\n86164 100000\n49310 73907\n22097 33059\n62853 94265\n93153 100000\n73321 100000\n3784 5625\n26648 39893\n3600 5349\n77708 100000\n71866 100000\n55468 83135\n35225 52701\n30479 45585\n37 53\n13388 20015\n21698 32458\n45590 68296\n62368 93545\n90541 100000\n82475 100000\n82252 100000\n93755 100000\n82940 100000\n32000 47886\n35799 53581\n69325 100000\n57356 85960\n45079 67523\n48571 72793\n60634 90929\n92100 100000\n29579 44228\n68396 100000\n54204 81256\n41002 61453\n58494 87681\n75025 100000\n89867 100000\n88501 100000\n4539 6748\n69310 100000\n59179 88702\n54892 82274\n52074 78055\n94654 100000\n1410 2111\n39407 59039\n54320 81423\n26249 39295\n87526 100000\n19677 29424\n63934 95886\n90568 100000\n27436 41044\n22476 33638\n18272 27311\n38559 57760\n69091 100000\n6258 9334\n46397 69519\n39816 59645\n40043 59987\n58242 87300\n69773 100000\n75499 100000\n86253 100000\n43204 64730\n83850 100000\n52346 78458\n40711 61010\n29498 44106\n74030 100000\n78106 100000\n980 1464\n22153 33151\n3996 5935\n67512 100000\n10609 15831\n4101 6090\n42625 63866\n88809 100000\n14720 21993\n59266 88837\n53594 80343\n71081 100000\n46161 69165\n36196 54200\n43814 65660\n88704 100000\n45663 68408\n26280 39340\n23193 34713\n36925 55297\n64364 96517\n88304 100000\n86859 100000\n68879 100000\n49660 74444\n43330 64930\n69014 100000\n27727 41474\n59212 88752\n41337 61943\n18743 28026\n22039 32974\n52486 78678\n99197 100000\n9919 14806\n60838 91237\n87713 100000\n54490 81678\n18628 27843\n79380 100000\n58495 87683\n20217 30208\n29379 43924\n31325 46869\n69722 100000\n33236 49713\n88589 100000\n59860 89742\n53802 80659\n9990 14913\n23310 34899\n19658 29397\n96061 100000\n21964 32860\n21307 31870\n96285 100000\n18372 27466\n82968 100000\n4753 7065\n1113 1666\n1329 1988\n58980 88408\n55875 83741\n14207 21224\n3137 4672\n5632 8383\n43626 65384\n78757 100000\n13485 20164\n54582 81816\n64639 96929\n51036 76507\n32464 48573\n33682 50384\n23289 34865\n52138 78148\n12616 18864\n73353 100000\n58727 88029\n30482 45590\n26882 40232\n86580 100000\n79905 100000\n57873 86744\n21413 32024\n68584 100000\n71047 100000\n30406 45474\n24346 36442\n28387 42458\n8229 12249\n13718 20501\n32098 48031\n65814 98714\n13026 19475\n4320 6422\n29993 44863\n15547 23241\n64784 97148\n8630 12858\n54523 81733\n18713 27979\n83111 100000\n83627 100000\n92850 100000\n32578 48728\n17989 26893\n73797 100000\n83085 100000\n65104 97630\n24987 37402\n94244 100000\n29508 44120\n87326 100000\n65508 98264\n99467 100000\n49046 73508\n59166 88681\n28631 42808\n11633 17389\n60378 90537\n22772 34084\n55364 82977\n62455 93669\n80063 100000\n2521 3775\n4540 6749\n82831 100000\n59045 88505\n11611 17355\n21727 32503\n5026 7482\n66977 100000\n81436 100000\n43416 65069\n16436 24562\n86411 100000\n80288 100000\n91243 100000\n41576 62300\n99416 100000\n20913 31272\n87955 100000\n62104 93158\n96984 100000\n53337 79959\n47820 71675\n63759 95613\n46960 70382\n33152 49596\n5402 8050\n7210 10750\n42986 64416\n67210 100000\n98 144\n37096 55557\n76399 100000\n40040 59983\n52907 79327\n79271 100000\n39391 59014\n81375 100000\n32149 48108\n10479 15644\n40385 60500\n42780 64096\n9997 14923\n56084 84049\n70050 100000\n30599 45771\n76865 100000\n81296 100000\n60714 91053\n88619 100000\n28209 42193\n27316 40870\n99264 100000\n88347 100000\n4739 7043\n85308 100000\n16182 24190\n24955 37348\n",
        "output": "28\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 107,
        "task_id": 541,
        "test_case_id": 40,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 99999\n58824 88280\n16745 25090\n56223 84348\n94625 100000\n2156 3231\n85280 100000\n69277 100000\n99070 100000\n34062 51160\n29198 43841\n92449 100000\n20025 30039\n78078 100000\n95191 100000\n59353 89067\n75547 100000\n20478 30739\n27639 41479\n55121 82689\n77849 100000\n37089 55657\n51940 77944\n15989 23940\n43296 65038\n54657 81983\n27536 41330\n87795 100000\n72712 100000\n84451 100000\n84985 100000\n44842 67333\n27105 40674\n60703 91068\n31457 47235\n71450 100000\n87671 100000\n42352 63610\n92255 100000\n38036 57082\n78372 100000\n6764 10156\n94454 100000\n92270 100000\n38575 57887\n94446 100000\n81626 100000\n96565 100000\n73904 100000\n36368 54579\n44653 67048\n29193 43832\n64521 96789\n22239 33406\n17339 26008\n15900 23805\n73114 100000\n91829 100000\n53135 79735\n83144 100000\n40206 60335\n15151 22681\n22145 33265\n71977 100000\n34244 51413\n67240 100000\n43081 64716\n1786 2682\n74685 100000\n51962 77981\n92068 100000\n56943 85429\n18024 27039\n36635 54975\n86749 100000\n61223 91840\n71560 100000\n74178 100000\n44323 66568\n41735 62676\n91664 100000\n90152 100000\n8257 12384\n99114 100000\n31685 47560\n31813 47763\n6320 9492\n94385 100000\n65609 98416\n41095 61692\n62703 94073\n44487 66807\n14880 22274\n26608 39919\n98083 100000\n63714 95567\n46483 69817\n86926 100000\n60609 90933\n90012 100000\n59663 89529\n6185 9293\n40209 60338\n47948 72011\n47314 71063\n53621 80463\n57170 85769\n51972 77997\n58014 87031\n39827 59775\n70230 100000\n96253 100000\n40078 60149\n65997 99005\n62749 94139\n21517 32292\n24103 36190\n22546 33858\n89832 100000\n1324 1965\n53482 80254\n45865 68863\n38089 57160\n68650 100000\n12227 18306\n26692 40046\n21670 32537\n93907 100000\n55119 82686\n84864 100000\n38296 57465\n69730 100000\n93331 100000\n30211 45356\n43095 64737\n5929 8912\n11929 17874\n78909 100000\n94074 100000\n60711 91079\n17472 26209\n251 382\n77578 100000\n32899 49390\n68770 100000\n19511 29283\n19194 28798\n10415 15571\n95452 100000\n94246 100000\n48393 72674\n45909 68933\n16715 25043\n41504 62324\n12191 18256\n81608 100000\n94372 100000\n43332 65093\n31709 47593\n19993 29990\n73581 100000\n53380 80087\n11020 16498\n69010 100000\n45899 68916\n7968 11954\n1316 1952\n83756 100000\n23931 35921\n44925 67462\n8467 12689\n16309 24424\n44460 66766\n25957 38926\n17247 25869\n49113 73758\n68632 100000\n30801 46249\n97510 100000\n25115 37703\n66824 100000\n31690 47567\n22133 33248\n94673 100000\n97686 100000\n97447 100000\n80877 100000\n2138 3201\n14977 22420\n3563 5364\n81897 100000\n62334 93513\n5714 8597\n16406 24563\n91767 100000\n36697 55063\n40393 60618\n56457 84709\n49275 73996\n96779 100000\n23507 35292\n95737 100000\n40171 60283\n52682 79059\n93856 100000\n7477 11234\n19645 29483\n60759 91150\n33540 50354\n40729 61134\n80973 100000\n47256 70979\n41721 62655\n28610 42956\n7192 10799\n76834 100000\n37880 56854\n43798 65775\n42331 63578\n12904 19339\n39346 59051\n12882 19304\n45310 68029\n15779 23628\n92725 100000\n3313 4982\n21958 32984\n68510 100000\n17680 26526\n34701 52098\n22452 33713\n36899 55368\n55912 83878\n16498 24708\n81078 100000\n16256 24340\n75522 100000\n80021 100000\n72186 100000\n5138 7719\n40620 60965\n73992 100000\n12626 18918\n63921 95875\n71569 100000\n77173 100000\n58666 88053\n93238 100000\n50110 75211\n32505 48803\n61994 92993\n90438 100000\n4600 6920\n97684 100000\n15816 23679\n34990 52530\n56825 85251\n56870 85315\n57889 86848\n18467 27715\n2361 3546\n27601 41423\n34773 52207\n9850 14732\n51812 77761\n93107 100000\n18076 27117\n76975 100000\n52734 79137\n36411 54641\n88367 100000\n29689 44562\n41843 62841\n41571 62424\n81742 100000\n16892 25318\n55946 83930\n74870 100000\n3669 5523\n15734 23555\n83050 100000\n94479 100000\n50071 75152\n82259 100000\n21202 31817\n26938 40417\n56624 84960\n81877 100000\n53006 79543\n93934 100000\n43564 65426\n63492 95235\n49267 73984\n29620 44459\n83856 100000\n71854 100000\n70093 100000\n49328 74067\n32434 48697\n4760 7158\n79346 100000\n35577 53406\n2186 3277\n73382 100000\n26590 39893\n99219 100000\n5053 7591\n4945 7433\n13469 20176\n94196 100000\n40219 60354\n55983 83988\n47400 71193\n78072 100000\n31598 47442\n76960 100000\n80874 100000\n39521 59316\n76908 100000\n72576 100000\n65475 98218\n48826 73324\n42474 63800\n43890 65915\n19147 28730\n36085 54158\n13870 20756\n23886 35850\n64549 96829\n70737 100000\n75113 100000\n46684 70118\n78765 100000\n40876 61362\n96244 100000\n74978 100000\n56244 84381\n28183 42313\n65546 98319\n5373 8075\n98555 100000\n26669 40010\n47688 71626\n70938 100000\n13629 20401\n76419 100000\n15176 22720\n59779 89707\n20816 31238\n36748 55136\n31134 46754\n25040 37594\n76397 100000\n39578 59404\n69787 100000\n86167 100000\n93983 100000\n93412 100000\n42524 63875\n78708 100000\n45151 67799\n89109 100000\n89134 100000\n45621 68497\n98698 100000\n77510 100000\n30432 45692\n47906 71951\n72461 100000\n51991 78024\n59994 90020\n31121 46736\n88988 100000\n13143 19690\n9480 14195\n81818 100000\n75190 100000\n71507 100000\n88734 100000\n35068 52648\n17689 26539\n20633 30970\n95986 100000\n50424 75676\n4301 6473\n63150 94733\n26578 39876\n87755 100000\n93011 100000\n75431 100000\n42387 63667\n19440 29173\n55792 83701\n12132 18172\n13039 19539\n35175 52804\n69196 100000\n23481 35252\n58055 87097\n2103 3148\n90299 100000\n66908 100000\n83279 100000\n32844 49309\n72397 100000\n3150 4735\n9094 13611\n21054 31597\n56249 84388\n95182 100000\n43906 65938\n64620 96931\n5297 7963\n67187 100000\n57946 86932\n49801 74765\n17251 25876\n45831 68809\n57373 86064\n35878 53852\n11676 17481\n13104 19635\n56123 84199\n40289 60461\n10976 16430\n14821 22188\n25378 38085\n62913 94377\n55595 83409\n4673 7027\n29624 44465\n46752 70217\n87148 100000\n56935 85417\n33412 50154\n13598 20361\n83776 100000\n57964 86959\n9538 14278\n62078 93127\n81983 100000\n69960 100000\n98823 100000\n95851 100000\n27590 41407\n85626 100000\n91046 100000\n45172 67828\n68320 100000\n50518 75812\n36568 54878\n42110 63237\n3212 4832\n2788 4187\n1094 1630\n30562 45891\n57451 86181\n61211 91820\n63831 95737\n94395 100000\n72857 100000\n76166 100000\n24012 36051\n66184 99286\n37051 55602\n66239 99367\n99979 100000\n68606 100000\n24651 37015\n56867 85311\n24489 36773\n61457 92192\n11133 16664\n11487 17193\n12995 19471\n56799 85209\n70378 100000\n83659 100000\n83598 100000\n83687 100000\n5142 7724\n21364 32063\n55612 83435\n67650 100000\n99877 100000\n19095 28650\n93583 100000\n93163 100000\n94609 100000\n68138 100000\n52707 79095\n68865 100000\n30838 46305\n73297 100000\n84801 100000\n42016 63099\n83743 100000\n12379 18541\n95547 100000\n14894 22296\n31157 46788\n5060 7603\n87215 100000\n57856 86797\n17629 26445\n3620 5449\n45490 68305\n57090 85655\n8487 12720\n60773 91174\n26970 40464\n40952 61471\n75492 100000\n46194 69359\n62120 93188\n3683 5543\n66919 100000\n14661 21944\n76295 100000\n88118 100000\n50900 76393\n543 819\n20115 30177\n24702 37092\n41503 62322\n45997 69063\n78554 100000\n49300 74026\n51613 77452\n66334 99503\n95029 100000\n23991 36018\n55644 83485\n22612 33957\n5184 7785\n24415 36653\n30543 45863\n60712 91080\n96030 100000\n23697 35567\n34069 51171\n12323 18454\n16240 24317\n36952 55451\n60772 91173\n57855 86796\n83554 100000\n92486 100000\n65079 97615\n97916 100000\n62371 93572\n54453 81695\n25522 38294\n35903 53890\n4937 7419\n15492 23209\n41562 62412\n27792 41716\n12258 18354\n78059 100000\n71350 100000\n99790 100000\n21072 31622\n10662 15950\n8508 12748\n35267 52946\n52626 78974\n17528 26291\n24218 36354\n9871 14766\n96634 100000\n60962 91450\n68696 100000\n71210 100000\n37109 55682\n17719 26586\n60698 91060\n82382 100000\n88827 100000\n1212 1802\n73135 100000\n4253 6398\n92988 100000\n45010 67594\n69393 100000\n35868 53836\n32011 48061\n33473 50246\n44382 66656\n60989 91488\n97582 100000\n7289 10946\n78948 100000\n49391 74154\n1486 2226\n81844 100000\n87071 100000\n71113 100000\n1283 1904\n69240 100000\n15042 22519\n16004 23962\n99805 100000\n16794 25161\n53227 79864\n9484 14200\n98373 100000\n97825 100000\n1137 1693\n29703 44583\n94111 100000\n15317 22935\n82237 100000\n70612 100000\n40886 61379\n21389 32101\n23356 35065\n31664 47532\n51170 76786\n55995 84006\n19756 29645\n48246 72442\n53496 80275\n95 148\n49781 74733\n24440 36691\n76775 100000\n17319 25980\n11718 17546\n76648 100000\n48458 72772\n10657 15941\n87418 100000\n7914 11877\n45685 68592\n58514 87814\n74982 100000\n70806 100000\n79865 100000\n27767 41678\n83789 100000\n26464 39706\n82442 100000\n64751 97127\n91010 100000\n97654 100000\n68204 100000\n48189 72366\n78105 100000\n45059 67668\n32026 48085\n16700 25024\n56491 84758\n57435 86156\n33238 49895\n71496 100000\n95854 100000\n78241 100000\n88645 100000\n66674 99999\n79364 100000\n66489 99735\n84768 100000\n34860 52338\n53191 79816\n84057 100000\n63684 95519\n59243 88901\n2583 3876\n46768 70244\n22583 33913\n23736 35626\n20724 31100\n26898 40357\n76410 100000\n95528 100000\n86852 100000\n47684 71620\n32522 48826\n83342 100000\n31966 47993\n94613 100000\n66678 100000\n28779 43201\n80528 100000\n52152 78268\n73710 100000\n36538 54834\n54620 81934\n36703 55072\n73457 100000\n88405 100000\n26594 39898\n27747 41644\n18420 27641\n87204 100000\n21341 32028\n98997 100000\n23165 34783\n16196 24251\n39213 58854\n35073 52655\n14877 22268\n73610 100000\n3993 6022\n53590 80416\n15983 23931\n80070 100000\n16977 25450\n81332 100000\n95580 100000\n54328 81522\n92164 100000\n46993 70571\n30391 45624\n41537 62372\n60699 91061\n42814 64320\n76132 100000\n46211 69389\n54850 82275\n55937 83915\n58534 87841\n76968 100000\n92827 100000\n31825 47778\n72734 100000\n52331 78523\n19158 28748\n81307 100000\n11688 17501\n86061 100000\n97651 100000\n47864 71884\n34648 52017\n97252 100000\n80058 100000\n51914 77906\n33287 49973\n62042 93071\n91874 100000\n18960 28447\n64332 96502\n94857 100000\n29291 43973\n55757 83648\n97022 100000\n30575 45910\n53592 80420\n35521 53320\n25405 38126\n34135 51261\n49821 74795\n23885 35849\n74920 100000\n17601 26399\n52904 79395\n29686 44557\n41356 62095\n97691 100000\n5356 8047\n46679 70112\n98178 100000\n30968 46504\n6772 10169\n66881 100000\n14028 21001\n50125 75231\n40873 61358\n56994 85510\n31661 47527\n32333 48546\n48889 73418\n32386 48624\n45117 67749\n74217 100000\n54913 82367\n97912 100000\n20603 30933\n86089 100000\n48788 73272\n58901 88404\n48459 72773\n48812 73304\n57390 86092\n59350 89062\n56625 84962\n66388 99588\n1919 2877\n14122 21141\n90386 100000\n22188 33328\n13686 20483\n21354 32047\n29781 44694\n2062 3087\n2440 3660\n6475 9724\n91064 100000\n36817 55237\n52175 78299\n49830 74807\n32449 48724\n14993 22447\n72894 100000\n88957 100000\n99443 100000\n8555 12818\n72713 100000\n64148 96223\n13742 20564\n91982 100000\n65515 98274\n87094 100000\n25747 38622\n9139 13678\n1548 2314\n63244 94864\n71253 100000\n46839 70350\n30212 45358\n87082 100000\n48213 72398\n63444 95159\n7296 10958\n37598 56433\n28314 42513\n67661 100000\n80389 100000\n91382 100000\n43842 65841\n37080 55644\n43741 65691\n14364 21501\n10664 15953\n10429 15595\n69241 100000\n11692 17507\n97322 100000\n44887 67405\n67794 100000\n97579 100000\n88797 100000\n46770 70246\n64142 96214\n77075 100000\n31392 47132\n40322 60511\n86541 100000\n88695 100000\n94039 100000\n47775 71750\n80882 100000\n13224 19815\n55340 83019\n92069 100000\n53898 80876\n60630 90963\n22693 34071\n34543 51857\n9897 14803\n15023 22492\n88164 100000\n87206 100000\n61648 92478\n73159 100000\n48037 72148\n27566 41375\n85747 100000\n74123 100000\n49691 74602\n85240 100000\n84515 100000\n20007 30012\n21131 31712\n75389 100000\n91901 100000\n3602 5421\n6788 10193\n43645 65545\n92627 100000\n46588 69976\n47162 70837\n43075 64707\n82181 100000\n82922 100000\n26998 40504\n64885 97326\n94421 100000\n32816 49271\n5952 8945\n99248 100000\n92152 100000\n76773 100000\n9050 13544\n58966 88489\n91615 100000\n43729 65673\n11465 17160\n86889 100000\n80661 100000\n93453 100000\n61080 91622\n52879 79359\n26404 39618\n48627 73032\n49216 73911\n8991 13456\n96699 100000\n81739 100000\n66098 99152\n14352 21481\n72602 100000\n86260 100000\n52021 78072\n75365 100000\n56174 84281\n73280 100000\n37354 56057\n45808 68776\n68957 100000\n32250 48421\n68255 100000\n59686 89565\n50278 75462\n52455 78714\n82130 100000\n11198 16764\n46970 70536\n35396 53132\n66970 100000\n91110 100000\n63521 95275\n28148 42259\n55597 83412\n57578 86377\n8544 12801\n61021 91537\n53008 79546\n18583 27890\n8771 13135\n11066 16567\n79474 100000\n71717 100000\n6570 9867\n22708 34092\n15105 22614\n29936 44930\n15407 23073\n52833 79291\n4833 7258\n85408 100000\n48789 73273\n84721 100000\n71414 100000\n96085 100000\n89759 100000\n34549 51866\n23440 35189\n78154 100000\n68383 100000\n88702 100000\n70409 100000\n39020 58565\n85194 100000\n93869 100000\n47947 72009\n12688 19010\n82180 100000\n60782 91187\n37834 56784\n19473 29225\n12205 18276\n77967 100000\n27120 40695\n73478 100000\n94619 100000\n72570 100000\n60018 90056\n78684 100000\n36446 54695\n74728 100000\n83384 100000\n64586 96882\n3395 5110\n24205 36337\n85463 100000\n62592 93911\n65005 97508\n87727 100000\n51174 76792\n94025 100000\n27902 41884\n75807 100000\n35316 53017\n71561 100000\n96234 100000\n29016 43569\n45364 68111\n55271 82914\n77814 100000\n78075 100000\n23766 35670\n32301 48499\n64091 96139\n67938 100000\n94727 100000\n64313 96474\n135 208\n86785 100000\n68357 100000\n36712 55086\n86817 100000\n82412 100000\n69679 100000\n3534 5321\n78691 100000\n89588 100000\n45761 68709\n31593 47433\n45513 68339\n14561 21797\n92764 100000\n42252 63449\n26323 39495\n82204 100000\n86369 100000\n37640 56495\n84144 100000\n48948 73511\n81488 100000\n72009 100000\n68520 100000\n55 82\n77259 100000\n39228 58876\n15358 23002\n81927 100000\n54768 82152\n44741 67172\n26506 39769\n26234 39355\n83164 100000\n78896 100000\n2679 4020\n84458 100000\n79479 100000\n63539 95305\n76454 100000\n54093 81167\n47019 70616\n82508 100000\n58780 88218\n66986 100000\n80550 100000\n30786 46226\n24228 36367\n79069 100000\n1505 2253\n15191 22744\n64256 96382\n40951 61470\n59999 90026\n62402 93617\n72449 100000\n58476 87761\n66006 99016\n86879 100000\n78014 100000\n43506 65341\n18637 27970\n60542 90831\n89960 100000\n39848 59807\n66063 99099\n38508 57785\n63793 95683\n68371 100000\n19545 29336\n47760 71727\n7613 11431\n87828 100000\n80837 100000\n80519 100000\n71234 100000\n47442 71254\n94494 100000\n56147 84238\n37945 56954\n99046 100000\n68886 100000\n11515 17233\n21584 32396\n53055 79614\n28589 42923\n73522 100000\n84190 100000\n4826 7247\n51671 77550\n87331 100000\n86140 100000\n16920 25361\n78100 100000\n81153 100000\n15830 23697\n66562 99840\n5018 7541\n12569 18835\n63740 95603\n48132 72278\n75577 100000\n41084 61674\n6659 10001\n87966 100000\n45371 68121\n42925 64480\n71965 100000\n80607 100000\n40371 60591\n36417 54650\n29595 44423\n50812 76258\n56390 84601\n84395 100000\n19733 29610\n10799 16164\n33449 50208\n53169 79783\n20260 30401\n46693 70133\n40038 60089\n54174 81287\n5395 8110\n17158 25729\n2703 4057\n84443 100000\n71757 100000\n41688 62602\n4057 6119\n41981 63043\n70691 100000\n36295 54468\n5336 8019\n5569 8378\n78111 100000\n22809 34240\n60394 90615\n70210 100000\n8551 12810\n1221 1816\n70592 100000\n97434 100000\n13898 20799\n81782 100000\n2359 3543\n84545 100000\n74194 100000\n71688 100000\n29378 44099\n57817 86736\n24471 36741\n36055 54116\n42969 64550\n79759 100000\n6409 9626\n75746 100000\n80921 100000\n42377 63650\n16292 24397\n46378 69652\n10862 16260\n96953 100000\n78194 100000\n76690 100000\n10356 15481\n60551 90843\n41795 62769\n9242 13836\n94809 100000\n38997 58530\n46683 70117\n4380 6599\n18219 27334\n29673 44538\n45320 68044\n75525 100000\n97392 100000\n18562 27860\n72697 100000\n46541 69905\n8676 12995\n59624 89468\n62111 93175\n91079 100000\n72934 100000\n72706 100000\n27897 41877\n67300 100000\n34572 51901\n66278 99420\n12606 18889\n9659 14443\n38900 58379\n45731 68664\n8005 12009\n48491 72825\n47230 70936\n51984 78015\n28355 42571\n90182 100000\n82556 100000\n42003 63075\n94555 100000\n71158 100000\n7541 11329\n96936 100000\n67786 100000\n70543 100000\n76259 100000\n63167 94756\n82310 100000\n45595 68457\n65386 98081\n69719 100000\n63372 95055\n63811 95707\n17336 26004\n74494 100000\n30503 45803\n65121 97680\n15693 23500\n8764 13126\n24132 36232\n5983 8988\n39449 59207\n23486 35261\n68872 100000\n72645 100000\n68442 100000\n23322 35016\n96367 100000\n60631 90965\n35519 53317\n51713 77610\n15909 23817\n55593 83406\n78238 100000\n83413 100000\n73130 100000\n86912 100000\n36573 54884\n73141 100000\n35400 53138\n71555 100000\n10223 15285\n66827 100000\n54962 82441\n81224 100000\n91426 100000\n51435 77183\n22743 34145\n80802 100000\n38049 57102\n25194 37823\n60233 90376\n16399 24551\n5786 8700\n96588 100000\n29087 43669\n70418 100000\n77086 100000\n33731 50642\n90390 100000\n18208 27318\n38734 58129\n17755 26643\n77340 100000\n42088 63204\n6428 9655\n3380 5087\n65828 98744\n91364 100000\n35095 52684\n43110 64762\n3424 5157\n70617 100000\n10089 15086\n52750 79165\n61031 91548\n44445 66746\n46866 70387\n54646 81969\n90813 100000\n37914 56904\n26174 39265\n66634 99940\n19054 28584\n85854 100000\n49273 73993\n67205 100000\n52531 78831\n99962 100000\n19093 28648\n21537 32323\n1405 2099\n58949 88464\n30273 45451\n8161 12239\n87860 100000\n54082 81150\n68452 100000\n35286 52974\n90058 100000\n9592 14351\n6706 10067\n18012 27019\n16891 25317\n13895 20794\n58435 87693\n20373 30571\n59423 89175\n92857 100000\n79213 100000\n60534 90819\n54096 81172\n95785 100000\n18746 28133\n24412 36648\n67111 100000\n29978 44998\n39570 59390\n34061 51159\n58393 87630\n33071 49648\n91336 100000\n5606 8439\n49162 73836\n89906 100000\n11543 17276\n71328 100000\n50514 75808\n94075 100000\n8070 12104\n62580 93894\n10160 15192\n92708 100000\n26564 39854\n22336 33543\n42576 63949\n3842 5782\n88139 100000\n93619 100000\n93562 100000\n80824 100000\n74009 100000\n64951 97431\n80787 100000\n11787 17651\n11987 17963\n66426 99641\n89585 100000\n67294 100000\n86333 100000\n53257 79906\n10822 16195\n15312 22927\n33879 50875\n34618 51967\n44742 67174\n42397 63683\n53987 81010\n22562 33881\n26706 40067\n2506 3758\n40246 60396\n94631 100000\n28721 43113\n92230 100000\n90171 100000\n33445 50202\n92201 100000\n70874 100000\n15111 22622\n22174 33307\n20510 30791\n74297 100000\n3119 4688\n35438 53200\n83433 100000\n86423 100000\n50657 76021\n84031 100000\n84033 100000\n90465 100000\n95849 100000\n39671 59541\n65650 98477\n52138 78246\n84400 100000\n1429 2136\n88407 100000\n28675 43050\n40477 60744\n9608 14373\n27652 41499\n84277 100000\n89889 100000\n71706 100000\n6883 10337\n71810 100000\n49449 74244\n87916 100000\n27635 41472\n70732 100000\n18565 27863\n52483 78757\n82987 100000\n86518 100000\n19958 29947\n93434 100000\n41848 62847\n23891 35858\n55268 82910\n81519 100000\n61107 91667\n93401 100000\n39019 58563\n88664 100000\n91233 100000\n56341 84529\n81634 100000\n26696 40052\n36374 54588\n28659 43028\n53025 79571\n90804 100000\n80476 100000\n55609 83431\n49734 74663\n43261 64984\n43415 65212\n87369 100000\n8180 12270\n83005 100000\n63198 94798\n36734 55116\n28986 43522\n27168 40762\n94486 100000\n57732 86605\n22611 33955\n71421 100000\n83436 100000\n45497 68314\n32271 48454\n48063 72185\n98809 100000\n64709 97066\n37950 56961\n8915 13348\n34215 51373\n17600 26398\n79543 100000\n5940 8925\n53831 80779\n99751 100000\n57304 85960\n33637 50497\n71558 100000\n82420 100000\n85962 100000\n83882 100000\n9981 14922\n86867 100000\n63050 94577\n13191 19767\n483 731\n68652 100000\n88599 100000\n9960 14896\n26934 40411\n99594 100000\n53487 80261\n73925 100000\n23862 35813\n15385 23042\n73629 100000\n83442 100000\n53446 80192\n92047 100000\n98498 100000\n20779 31183\n66345 99520\n80731 100000\n61632 92456\n12284 18394\n45804 68770\n94097 100000\n17800 26708\n61109 91670\n49712 74632\n79674 100000\n86010 100000\n22127 33241\n99469 100000\n18522 27795\n77 118\n9869 14762\n58300 87486\n25857 38782\n9830 14704\n26016 39022\n58400 87640\n77569 100000\n96809 100000\n13603 20367\n91553 100000\n66951 100000\n3433 5172\n20895 31359\n92372 100000\n74222 100000\n72310 100000\n50362 75588\n96680 100000\n9413 14095\n28556 42872\n31110 46719\n65542 98312\n40700 61092\n46373 69642\n96551 100000\n92830 100000\n98569 100000\n20396 30608\n80680 100000\n28432 42690\n51464 77226\n28794 43223\n46263 69469\n87269 100000\n66776 100000\n37766 56680\n15510 23233\n91328 100000\n84519 100000\n443 674\n32442 48711\n81573 100000\n94910 100000\n34070 51173\n18472 27722\n4113 6198\n3141 4721\n73773 100000\n52397 78626\n51562 77374\n25751 38628\n10879 16285\n35011 52564\n88341 100000\n43878 65897\n63941 95906\n63834 95742\n52577 78896\n64367 96551\n57068 85627\n93769 100000\n21516 32290\n45334 68066\n37495 56271\n38317 57495\n48033 72141\n20744 31129\n97103 100000\n20594 30919\n38927 58416\n57581 86381\n54636 81955\n38205 57330\n83949 100000\n2574 3861\n47043 70654\n64326 96493\n30171 45292\n90113 100000\n44049 66153\n55176 82778\n79290 100000\n2973 4474\n38402 57622\n19108 28669\n38963 58474\n36160 54268\n72215 100000\n31712 47597\n36723 55100\n99256 100000\n64354 96536\n42580 63956\n74182 100000\n39931 59934\n29210 43859\n34412 51666\n44346 66604\n25426 38157\n17203 25801\n5418 8145\n64392 96589\n86687 100000\n21780 32707\n37562 56374\n3060 4600\n76191 100000\n86327 100000\n56302 84465\n47998 72085\n4822 7243\n24845 37303\n53580 80400\n19437 29167\n50834 76295\n97344 100000\n85345 100000\n46687 70123\n55217 82836\n72051 100000\n46843 70356\n69599 100000\n7754 11647\n16152 24184\n82099 100000\n42581 63957\n58403 87645\n44976 67542\n99378 100000\n98127 100000\n35189 52827\n305 462\n30961 46493\n11191 16753\n3876 5837\n95031 100000\n88652 100000\n30970 46506\n46947 70505\n95027 100000\n4485 6747\n47278 71007\n29883 44852\n64107 96160\n15370 23019\n18612 27934\n55782 83686\n87943 100000\n77716 100000\n64279 96421\n157 238\n14308 21415\n78039 100000\n85916 100000\n78866 100000\n87647 100000\n14827 22196\n24723 37119\n87134 100000\n50256 75431\n81124 100000\n6128 9209\n36100 54181\n64968 97453\n59947 89954\n44900 67421\n48871 73392\n29324 44022\n89903 100000\n13761 20594\n19080 28627\n7571 11369\n52257 78415\n87948 100000\n89056 100000\n20440 30679\n66228 99351\n89459 100000\n19446 29182\n21204 31820\n40421 60662\n28895 43382\n51168 76784\n55252 82885\n18816 28234\n54034 81082\n60969 91458\n62144 93228\n20146 30224\n96271 100000\n10123 15140\n67233 100000\n30134 45236\n51132 76735\n25734 38601\n69964 100000\n58903 88406\n81152 100000\n22057 33132\n79250 100000\n26751 40135\n13894 20792\n11969 17938\n41369 62117\n29509 44292\n63619 95424\n6714 10080\n98059 100000\n59283 88961\n61011 91522\n14121 21139\n65333 98003\n71824 100000\n10943 16379\n67004 100000\n8250 12375\n61423 92140\n37994 57024\n57617 86437\n27055 40593\n76258 100000\n47505 71348\n46011 69083\n77055 100000\n58245 87401\n78141 100000\n14007 20964\n33277 49957\n83622 100000\n50373 75605\n31557 47376\n30360 45578\n2077 3111\n50122 75227\n17191 25784\n34925 52435\n47767 71737\n52579 78899\n76471 100000\n74302 100000\n80394 100000\n91728 100000\n66987 100000\n91893 100000\n12689 19011\n75925 100000\n25516 38286\n50253 75426\n90158 100000\n30145 45255\n57398 86106\n9667 14454\n28913 43410\n26946 40428\n57200 85816\n42632 64036\n2830 4247\n91391 100000\n40054 60113\n65142 97712\n44801 67264\n86344 100000\n32773 49205\n41864 62872\n73401 100000\n98445 100000\n71501 100000\n13739 20559\n59469 89240\n2874 4317\n75440 100000\n15541 23277\n94451 100000\n41751 62702\n27782 41701\n55502 83268\n15455 23154\n7498 11264\n56875 85322\n16394 24543\n54043 81095\n27034 40558\n37422 56159\n64627 96941\n28950 43467\n27927 41922\n94102 100000\n61092 91644\n15725 23543\n76713 100000\n81074 100000\n85719 100000\n80848 100000\n1504 2251\n92103 100000\n36306 54485\n11584 17336\n62642 93979\n53796 80726\n49150 73815\n6823 10241\n17754 26641\n64909 97363\n49242 73951\n86255 100000\n39273 58941\n4230 6362\n89157 100000\n40379 60602\n3521 5301\n90559 100000\n34325 51541\n26697 40054\n79584 100000\n72434 100000\n81282 100000\n68451 100000\n18750 28139\n60037 90089\n98091 100000\n7076 10624\n73667 100000\n26878 40328\n52355 78559\n33084 49664\n59169 88787\n96151 100000\n9891 14796\n30533 45848\n58470 87751\n1855 2787\n16910 25345\n73924 100000\n80214 100000\n95327 100000\n36379 54595\n97076 100000\n27637 41475\n41029 61591\n30390 45622\n69022 100000\n59089 88668\n3202 4818\n2774 4167\n53537 80336\n91322 100000\n45878 68884\n39171 58789\n63530 95289\n30934 46451\n9149 13695\n7400 11118\n79060 100000\n65804 98709\n38393 57607\n30894 46390\n79708 100000\n46879 70407\n61247 91878\n73515 100000\n84797 100000\n58785 88224\n94571 100000\n94744 100000\n90132 100000\n1773 2661\n93332 100000\n5480 8246\n13879 20771\n54745 82115\n26458 39698\n10029 14992\n25254 37917\n83843 100000\n91351 100000\n43292 65031\n33539 50353\n69266 100000\n3922 5911\n3178 4777\n34884 52375\n35054 52626\n31730 47627\n41628 62513\n37431 56174\n2487 3730\n62179 93282\n92089 100000\n82502 100000\n77060 100000\n68589 100000\n45163 67816\n93800 100000\n32498 48794\n52074 78153\n60722 91096\n46657 70078\n68419 100000\n55695 83557\n98703 100000\n12866 19279\n53269 79925\n82960 100000\n25995 38988\n6492 9750\n42686 64120\n31443 47212\n26617 39934\n64635 96952\n26612 39925\n30666 46050\n51086 76666\n36895 55361\n18852 28288\n63681 95514\n95285 100000\n34114 51235\n21656 32516\n4843 7274\n95664 100000\n88783 100000\n58149 87249\n26446 39680\n14276 21370\n23035 34587\n87986 100000\n16405 24561\n58607 87958\n72728 100000\n60729 91107\n55807 83720\n6491 9749\n8872 13280\n92045 100000\n49517 74350\n43330 65089\n76727 100000\n84365 100000\n41563 62413\n65302 97958\n24032 36082\n12541 18792\n73471 100000\n76904 100000\n29874 44840\n62779 94180\n51675 77555\n63788 95676\n31986 48024\n97201 100000\n89104 100000\n91345 100000\n38460 57708\n3079 4630\n53215 79846\n36193 54313\n19493 29256\n71898 100000\n22623 33972\n54853 82280\n24119 36215\n47266 70990\n68594 100000\n17708 26570\n50379 75613\n42587 63964\n79315 100000\n59394 89129\n84241 100000\n39526 59323\n60626 90958\n74109 100000\n27776 41692\n84192 100000\n22081 33167\n77073 100000\n95270 100000\n77838 100000\n77538 100000\n42092 63209\n1543 2308\n63955 95930\n73919 100000\n5520 8305\n90724 100000\n60904 91366\n14838 22211\n40173 60286\n26693 40048\n5900 8872\n95999 100000\n67670 100000\n20035 30054\n4930 7408\n16797 25167\n58299 87484\n49811 74780\n54964 82444\n6829 10250\n51851 77816\n24073 36142\n35088 52673\n97272 100000\n30449 45717\n77182 100000\n21913 32918\n84861 100000\n9926 14843\n28898 43387\n30939 46457\n61805 92709\n40125 60218\n42563 63930\n2306 3459\n25070 37635\n23136 34738\n89252 100000\n61728 92595\n51049 76612\n16011 23973\n93597 100000\n78910 100000\n35754 53662\n67904 100000\n83346 100000\n54865 82295\n91048 100000\n57080 85643\n50192 75333\n56589 84904\n86504 100000\n31013 46571\n66456 99687\n29961 44971\n8603 12886\n85008 100000\n93909 100000\n49803 74767\n15412 23081\n80218 100000\n38113 57201\n21279 31934\n52587 78909\n41652 62549\n65998 99006\n61053 91582\n72017 100000\n78825 100000\n43277 65010\n19955 29942\n41329 62054\n10706 16020\n23517 35308\n26319 39489\n54705 82055\n90790 100000\n40919 61427\n19672 29522\n21764 32680\n31070 46659\n94390 100000\n53988 81011\n88888 100000\n9583 14337\n11729 17562\n97537 100000\n98784 100000\n89986 100000\n35757 53666\n50123 75229\n57962 86956\n79607 100000\n21510 32284\n3358 5053\n37248 55898\n34696 52090\n93212 100000\n53792 80721\n7090 10645\n45231 67915\n72149 100000\n27202 40818\n70486 100000\n1842 2767\n98924 100000\n10135 15159\n55698 83561\n50517 75811\n14871 22260\n56362 84561\n97499 100000\n34846 52318\n52243 78394\n87652 100000\n54772 82158\n58199 87328\n90044 100000\n52490 78768\n17308 25963\n46793 70276\n96518 100000\n14635 21905\n55835 83762\n31031 46600\n88931 100000\n52408 78641\n60767 91164\n80753 100000\n72736 100000\n46136 69266\n23980 35997\n3077 4626\n7876 11825\n13974 20919\n29101 43691\n43808 65790\n20403 30621\n85490 100000\n65737 98612\n29748 44652\n14375 21518\n85413 100000\n35684 53561\n84289 100000\n2876 4320\n85934 100000\n11611 17377\n83260 100000\n1997 2992\n24992 37529\n33074 49651\n40368 60586\n13296 19924\n85896 100000\n57806 86719\n82688 100000\n95864 100000\n43407 65199\n65256 97881\n3341 5026\n7195 10805\n10665 15954\n39536 59339\n75361 100000\n56046 84083\n99961 100000\n44626 67011\n65714 98577\n74823 100000\n72369 100000\n47938 71997\n54821 82231\n86719 100000\n89352 100000\n74544 100000\n10782 16140\n58893 88393\n25503 38264\n21174 31775\n43298 65040\n68694 100000\n81010 100000\n64006 96010\n63960 95939\n42714 64160\n39386 59118\n58591 87932\n6086 9144\n55378 83074\n60998 91501\n44580 66942\n18137 27209\n91914 100000\n3240 4873\n82364 100000\n742 1116\n98237 100000\n20506 30784\n27130 40710\n22539 33848\n50175 75308\n62193 93302\n67930 100000\n13311 19945\n95213 100000\n68092 100000\n63365 95044\n39237 58889\n30199 45336\n67798 100000\n87651 100000\n57787 86688\n51286 76963\n43131 64794\n89048 100000\n98269 100000\n20539 30833\n73340 100000\n62234 93364\n70276 100000\n83595 100000\n71964 100000\n41739 62683\n85601 100000\n50622 75969\n52517 78811\n79196 100000\n53466 80226\n27617 41445\n26325 39499\n62982 94478\n65180 97768\n83853 100000\n57171 85771\n66297 99448\n50897 76388\n4832 7256\n98987 100000\n16513 24732\n14389 21535\n50950 76463\n61126 91695\n63562 95340\n65865 98806\n61151 91731\n7049 10586\n61864 92802\n49285 74009\n44046 66148\n212 322\n6889 10346\n53568 80384\n98164 100000\n39284 58958\n75153 100000\n85636 100000\n88983 100000\n29975 44994\n28632 42989\n26533 39808\n19876 29824\n23500 35281\n40061 60123\n31105 46711\n26711 40076\n48808 73299\n60879 91328\n66097 99151\n596 901\n49016 73614\n524 789\n14552 21782\n61764 92649\n51155 76767\n28505 42796\n15742 23566\n55257 82893\n4276 6433\n86250 100000\n25602 38409\n80110 100000\n13016 19506\n93474 100000\n98657 100000\n53197 79823\n11621 17392\n1566 2342\n10271 15355\n53947 80950\n11438 17119\n24499 36788\n46844 70357\n93394 100000\n89452 100000\n45443 68232\n91815 100000\n19114 28679\n76556 100000\n13180 19748\n42285 63500\n94131 100000\n13129 19671\n55948 83933\n73045 100000\n65794 98693\n4555 6853\n84296 100000\n85075 100000\n59227 88875\n94511 100000\n13353 20010\n26239 39363\n37915 56906\n91635 100000\n12576 18843\n15558 23300\n10406 15557\n98217 100000\n49270 73988\n71172 100000\n87008 100000\n1885 2828\n95176 100000\n27383 41090\n637 964\n30285 45469\n40109 60194\n60012 90046\n36821 55245\n19571 29372\n73350 100000\n73513 100000\n99274 100000\n63997 95994\n31604 47451\n96480 100000\n17212 25815\n87787 100000\n170 260\n51217 76857\n16261 24348\n90277 100000\n93352 100000\n78502 100000\n81663 100000\n12503 18733\n69494 100000\n49264 73980\n39681 59555\n35114 52711\n10053 15026\n32692 49080\n63556 95332\n71973 100000\n97837 100000\n82905 100000\n71078 100000\n28151 42264\n30032 45080\n529 798\n38625 57959\n75150 100000\n83097 100000\n32738 49150\n14702 22006\n49728 74655\n64440 96671\n77332 100000\n5387 8097\n13314 19949\n41654 62552\n65198 97794\n27238 40875\n44359 66622\n73578 100000\n71184 100000\n61622 92440\n81289 100000\n51637 77493\n27331 41010\n57413 86124\n35501 53291\n14329 21448\n55344 83024\n95375 100000\n29822 44755\n92220 100000\n12564 18827\n91410 100000\n8661 12971\n34022 51097\n92925 100000\n74570 100000\n64415 96631\n11108 16628\n90000 100000\n28774 43195\n70766 100000\n99862 100000\n74566 100000\n35672 53545\n64874 97310\n85536 100000\n16267 24359\n73969 100000\n95343 100000\n376 571\n66464 99698\n14197 21259\n52193 78324\n4006 6042\n58939 88451\n24958 37475\n83089 100000\n99858 100000\n52197 78328\n55476 83229\n95584 100000\n28454 42721\n24123 36220\n50730 76132\n87400 100000\n27674 41535\n96618 100000\n93819 100000\n98263 100000\n20338 30520\n8336 12499\n50179 75315\n65978 98976\n48423 72717\n23641 35489\n81276 100000\n23152 34762\n74339 100000\n24643 37004\n86967 100000\n60641 90980\n29285 43964\n5909 8885\n15261 22845\n89045 100000\n58678 88073\n15864 23750\n54176 81289\n20785 31194\n82864 100000\n96927 100000\n15027 22498\n36705 55075\n18302 27459\n88403 100000\n51712 77608\n97822 100000\n64438 96669\n89436 100000\n85602 100000\n68197 100000\n20607 30940\n4034 6083\n78204 100000\n20860 31305\n35972 53988\n72717 100000\n87830 100000\n45480 68290\n18277 27421\n81397 100000\n81163 100000\n31785 47719\n47242 70955\n31002 46557\n84804 100000\n19617 29443\n71022 100000\n88567 100000\n67248 100000\n28150 42262\n40988 61524\n99143 100000\n81947 100000\n582 879\n22620 33969\n11162 16708\n3447 5193\n25154 37762\n73848 100000\n20277 30429\n72688 100000\n82444 100000\n43623 65513\n33702 50594\n56074 84127\n41367 62113\n31928 47936\n40128 60222\n86166 100000\n19267 28905\n20723 31099\n74180 100000\n38749 58155\n32178 48307\n96712 100000\n5085 7639\n45184 67845\n34505 51800\n51546 77352\n71225 100000\n94435 100000\n78640 100000\n39156 58768\n46135 69265\n13902 20804\n30357 45574\n82586 100000\n44119 66259\n76247 100000\n33953 50989\n96920 100000\n18082 27128\n24687 37070\n39242 58896\n41446 62234\n10711 16030\n67334 100000\n11113 16634\n19674 29525\n49776 74727\n82512 100000\n46638 70051\n62528 93811\n64121 96180\n4717 7092\n23286 34957\n24369 36584\n26021 39029\n46381 69657\n80361 100000\n13787 20629\n63412 95112\n50917 76415\n76762 100000\n97498 100000\n68848 100000\n19134 28709\n82176 100000\n12615 18902\n91340 100000\n58268 87437\n63138 94715\n21083 31640\n56462 84717\n28998 43539\n90082 100000\n82675 100000\n38819 58261\n696 1053\n83590 100000\n24695 37082\n45096 67719\n56419 84649\n1147 1707\n18166 27257\n3767 5669\n60231 90374\n98290 100000\n65552 98327\n27817 41753\n67896 100000\n7559 11354\n58363 87584\n62830 94259\n252 383\n32289 48480\n73200 100000\n79508 100000\n42033 63124\n5235 7862\n64629 96943\n48717 73168\n38314 57491\n36183 54298\n18800 28212\n92165 100000\n65959 98947\n70422 100000\n96160 100000\n59922 89917\n2236 3353\n40471 60735\n12297 18410\n40532 60827\n91887 100000\n70032 100000\n48851 73361\n74597 100000\n82163 100000\n502 757\n21214 31835\n33756 50682\n33522 50324\n11539 17271\n19392 29094\n78086 100000\n71033 100000\n26924 40395\n32576 48904\n86568 100000\n53240 79883\n89979 100000\n41378 62131\n51006 76545\n64805 97207\n20038 30058\n68792 100000\n44343 66599\n25442 38176\n25481 38234\n85947 100000\n52979 79503\n88980 100000\n53093 79672\n60045 90100\n91156 100000\n93471 100000\n91294 100000\n36168 54279\n65305 97962\n18245 27377\n65665 98501\n6664 10007\n55312 82973\n3739 5627\n34106 51226\n18120 27186\n5070 7619\n73500 100000\n35673 53546\n4421 6652\n19201 28808\n22175 33308\n66071 99112\n66617 99915\n70291 100000\n49975 75011\n68813 100000\n47125 70777\n18288 27438\n20565 30869\n71918 100000\n78352 100000\n48004 72094\n55747 83636\n96469 100000\n40458 60713\n58483 87772\n34671 52053\n69905 100000\n5068 7615\n7465 11216\n94818 100000\n80756 100000\n91774 100000\n52192 78322\n60701 91065\n23238 34889\n95747 100000\n62340 93523\n43336 65097\n91252 100000\n54307 81489\n34014 51084\n21183 31789\n143 217\n45052 67655\n68365 100000\n32030 48091\n98395 100000\n56592 84908\n65730 98602\n11978 17950\n19307 28964\n93018 100000\n71194 100000\n40691 61076\n39885 59868\n68819 100000\n19018 28530\n78787 100000\n47317 71066\n27706 41584\n62221 93345\n86290 100000\n55670 83520\n89857 100000\n65617 98428\n45571 68420\n13958 20891\n42467 63789\n55733 83614\n28966 43491\n85597 100000\n28114 42206\n2983 4489\n98056 100000\n42813 64318\n4619 6948\n36314 54498\n67801 100000\n73308 100000\n29337 44042\n99086 100000\n86138 100000\n10687 15992\n26547 39831\n8205 12311\n24138 36240\n29646 44500\n58491 87784\n98443 100000\n98833 100000\n10577 15820\n81624 100000\n96059 100000\n83604 100000\n1102 1641\n95866 100000\n55861 83803\n99787 100000\n77556 100000\n47613 71512\n50617 75962\n52535 78837\n30763 46195\n11084 16594\n86105 100000\n86122 100000\n11463 17157\n31523 47326\n94215 100000\n59672 89544\n87623 100000\n93794 100000\n16476 24672\n54586 81884\n94283 100000\n69159 100000\n60183 90308\n68111 100000\n20383 30587\n96173 100000\n11231 16811\n27528 41318\n55138 82718\n55661 83509\n40517 60804\n23483 35256\n7760 11655\n55004 82504\n27090 40650\n24902 37391\n8564 12829\n97653 100000\n36475 54737\n81229 100000\n91581 100000\n91741 100000\n63340 95007\n10275 15360\n86152 100000\n27417 41137\n76345 100000\n374 567\n55580 83388\n47175 70857\n61661 92497\n55058 82586\n42006 63081\n19497 29261\n45226 67909\n45978 69033\n15158 22693\n28658 43027\n75110 100000\n58361 87582\n34719 52128\n64011 96018\n26349 39534\n80913 100000\n99780 100000\n24057 36117\n33288 49974\n1112 1656\n22699 34080\n66574 99855\n9064 13565\n64816 97221\n97620 100000\n96157 100000\n31280 46962\n86115 100000\n56367 84568\n72198 100000\n12585 18856\n78722 100000\n42913 64459\n79438 100000\n52172 78295\n6111 9184\n28816 43258\n66177 99275\n2706 4063\n18350 27533\n40869 61351\n74468 100000\n76625 100000\n71125 100000\n85736 100000\n98566 100000\n94212 100000\n21980 33016\n78932 100000\n12240 18325\n67422 100000\n2416 3627\n9248 13842\n5904 8877\n33560 50383\n95062 100000\n21373 32076\n43405 65196\n33508 50303\n71024 100000\n34462 51739\n55333 83008\n56862 85304\n45780 68734\n65772 98663\n78522 100000\n43547 65398\n45776 68729\n29876 44844\n47649 71565\n93232 100000\n39995 60021\n86713 100000\n16746 25091\n41960 63012\n20855 31295\n61533 92311\n38707 58090\n61177 91773\n7502 11270\n68856 100000\n76606 100000\n40724 61128\n55496 83260\n86384 100000\n16961 25424\n25724 38584\n89022 100000\n7779 11681\n14385 21530\n9781 14631\n91696 100000\n48115 72255\n95267 100000\n31215 46869\n93017 100000\n43204 64899\n56829 85257\n30163 45279\n1067 1594\n37612 56453\n49116 73763\n56543 84837\n77675 100000\n61272 91915\n28211 42356\n26231 39350\n94166 100000\n26434 39661\n65461 98195\n50275 75459\n52938 79446\n84239 100000\n15256 22840\n43197 64889\n31780 47710\n70428 100000\n26007 39008\n9964 14900\n19330 28999\n99935 100000\n16716 25044\n79350 100000\n4757 7154\n49654 74545\n66710 100000\n40580 60902\n33851 50832\n35917 53911\n15350 22987\n70585 100000\n8282 12422\n19105 28664\n18368 27560\n38310 57484\n35801 53737\n92852 100000\n49603 74475\n90231 100000\n29271 43945\n47555 71423\n56159 84257\n93208 100000\n15292 22893\n74645 100000\n40434 60683\n37226 55865\n98123 100000\n48655 73073\n82933 100000\n25558 38341\n41942 62985\n47023 70622\n75326 100000\n22978 34497\n97847 100000\n85462 100000\n36679 55037\n39537 59340\n21909 32913\n32224 48380\n66945 100000\n44146 66301\n83814 100000\n72403 100000\n31282 46965\n92640 100000\n98820 100000\n63418 95121\n24414 36651\n90349 100000\n32964 49484\n44549 66900\n49542 74388\n75677 100000\n50674 76043\n1669 2501\n60481 90742\n523 788\n67219 100000\n46577 69961\n93278 100000\n73949 100000\n96211 100000\n54370 81576\n8805 13185\n94565 100000\n2559 3841\n76459 100000\n32845 49310\n86559 100000\n56131 84211\n60754 91143\n62713 94087\n37921 56915\n30453 45723\n25488 38242\n6091 9153\n4452 6696\n90555 100000\n1351 2010\n53640 80490\n16501 24713\n76529 100000\n52137 78245\n72221 100000\n44840 67329\n65123 97683\n90960 100000\n48188 72364\n61827 92745\n71237 100000\n38769 58185\n46231 69420\n83924 100000\n34195 51345\n66842 100000\n51156 76768\n59425 89178\n20854 31294\n83732 100000\n60225 90365\n27791 41714\n62650 93992\n73445 100000\n2122 3180\n5051 7588\n27277 40928\n91991 100000\n41187 61836\n25976 38960\n42935 64496\n68989 100000\n77939 100000\n12186 18249\n89185 100000\n43089 64729\n1436 2146\n53280 79939\n75877 100000\n33441 50197\n41844 62842\n62963 94450\n10360 15487\n50772 76199\n85778 100000\n11582 17334\n26985 40484\n14980 22426\n38594 57916\n4022 6066\n66538 99805\n79394 100000\n33667 50541\n36262 54418\n9835 14711\n10264 15346\n23928 35917\n46267 69475\n54889 82329\n56295 84454\n54643 81965\n55783 83688\n8039 12060\n46944 70500\n43249 64969\n14039 21013\n30711 46117\n76277 100000\n69352 100000\n19308 28965\n29035 43596\n69931 100000\n66321 99482\n14101 21107\n69611 100000\n48590 72976\n97838 100000\n63184 94778\n54648 81972\n73415 100000\n61252 91885\n72518 100000\n86496 100000\n69443 100000\n1081 1611\n4801 7215\n98464 100000\n65006 97509\n12416 18600\n4074 6142\n64800 97199\n38256 57403\n96766 100000\n4781 7187\n22221 33376\n4669 7021\n97969 100000\n56659 85012\n26192 39293\n38138 57237\n59765 89685\n93584 100000\n80341 100000\n19968 29961\n36488 54759\n59714 89607\n56441 84686\n7523 11302\n37268 55930\n7853 11790\n42821 64330\n290 436\n5360 8053\n91584 100000\n56067 84116\n98013 100000\n69727 100000\n95454 100000\n40912 61416\n77499 100000\n50303 75499\n29759 44664\n64656 96984\n58279 87452\n2477 3715\n7496 11261\n63072 94613\n422 642\n59793 89727\n19062 28598\n35723 53615\n84397 100000\n59163 88778\n19233 28856\n71126 100000\n82919 100000\n31304 46998\n90307 100000\n73099 100000\n26523 39793\n84605 100000\n95829 100000\n20239 30370\n61914 92873\n91479 100000\n56110 84179\n19918 29885\n65744 98621\n86864 100000\n98089 100000\n60856 91293\n3575 5383\n3765 5667\n66284 99429\n41768 62728\n60853 91289\n83192 100000\n55403 83114\n61525 92298\n18393 27601\n64559 96841\n27206 40825\n57574 86371\n15229 22800\n87768 100000\n66423 99638\n9392 14058\n16657 24961\n44945 67492\n36897 55364\n72139 100000\n90788 100000\n4750 7144\n89815 100000\n69171 100000\n1708 2562\n55074 82612\n68902 100000\n19868 29814\n94653 100000\n89757 100000\n46159 69304\n73349 100000\n12608 18893\n41939 62981\n71944 100000\n75740 100000\n84790 100000\n53395 80115\n71272 100000\n91780 100000\n88913 100000\n89928 100000\n46775 70254\n96622 100000\n3789 5703\n92518 100000\n99406 100000\n44498 66824\n15689 23494\n10061 15041\n46082 69190\n39416 59156\n26989 40491\n97613 100000\n72072 100000\n52419 78659\n24372 36589\n23615 35451\n78297 100000\n55061 82590\n11490 17197\n70148 100000\n28619 42970\n61165 91752\n54800 82200\n53980 81002\n22881 34347\n92759 100000\n59991 90015\n65876 98823\n46888 70420\n69830 100000\n2372 3561\n59903 89883\n15696 23503\n94312 100000\n17495 26241\n67295 100000\n65538 98307\n56167 84270\n23232 34880\n28124 42218\n97063 100000\n9190 13758\n52559 78873\n35996 54023\n53702 80583\n55668 83518\n81803 100000\n69326 100000\n54976 82464\n25327 38014\n92410 100000\n94799 100000\n71640 100000\n72090 100000\n55917 83886\n36912 55389\n43948 66001\n85367 100000\n57793 86698\n8296 12444\n37011 55544\n65859 98797\n37620 56467\n48703 73149\n27762 41670\n54337 81533\n76034 100000\n82080 100000\n11935 17883\n17466 26202\n56177 84284\n46988 70564\n81617 100000\n38952 58458\n7956 11937\n10983 16440\n88875 100000\n3655 5502\n96877 100000\n2853 4281\n46884 70414\n43644 65544\n2318 3481\n30419 45672\n20973 31473\n41700 62621\n92219 100000\n23220 34862\n73387 100000\n46571 69953\n96760 100000\n62748 94137\n12291 18402\n3098 4658\n33843 50817\n2899 4356\n307 466\n97318 100000\n1008 1510\n56051 84092\n1069 1596\n4344 6542\n65974 98970\n54796 82193\n42436 63745\n6161 9260\n64129 96193\n8584 12860\n39007 58545\n87957 100000\n97449 100000\n88419 100000\n65953 98938\n74747 100000\n41956 63005\n93901 100000\n4337 6530\n55085 82631\n53402 80127\n8886 13303\n76388 100000\n82629 100000\n26156 39234\n46420 69719\n85780 100000\n10710 16028\n69525 100000\n86661 100000\n32274 48459\n98568 100000\n48322 72564\n4037 6087\n79875 100000\n79664 100000\n21144 31729\n46297 69520\n29917 44903\n79247 100000\n70878 100000\n90385 100000\n20289 30447\n28200 42340\n29659 44517\n98838 100000\n41653 62550\n68429 100000\n25425 38155\n48594 72983\n58313 87509\n29319 44013\n77859 100000\n60937 91415\n96563 100000\n79838 100000\n39874 59850\n89731 100000\n38081 57150\n12587 18859\n3800 5719\n7243 10879\n36789 55196\n4387 6610\n56640 84985\n72904 100000\n49984 75024\n20732 31111\n94453 100000\n15768 23611\n52591 78915\n75486 100000\n27283 40936\n66938 100000\n3537 5325\n26742 40122\n15500 23221\n85405 100000\n45094 67715\n2555 3835\n97289 100000\n63473 95204\n76422 100000\n51919 77914\n10958 16403\n32872 49351\n51055 76622\n6694 10051\n30097 45175\n11596 17356\n90061 100000\n75565 100000\n4326 6511\n42582 63958\n20125 30193\n23395 35119\n64195 96291\n87075 100000\n24164 36278\n30049 45104\n7034 10563\n16315 24433\n66799 100000\n62655 93999\n99365 100000\n31961 47985\n92808 100000\n97204 100000\n79868 100000\n35278 52962\n62360 93554\n22953 34459\n76500 100000\n92907 100000\n99713 100000\n51945 77953\n59008 88552\n79349 100000\n59801 89739\n93488 100000\n72690 100000\n89424 100000\n58959 88479\n27656 41504\n54836 82254\n12382 18545\n69587 100000\n53426 80164\n48818 73312\n31853 47823\n32247 48417\n26572 39866\n85655 100000\n58611 87966\n6744 10126\n53534 80332\n94141 100000\n60555 90850\n96268 100000\n25300 37977\n65446 98171\n13753 20582\n34162 51295\n72193 100000\n53479 80249\n16825 25213\n47723 71676\n80422 100000\n73153 100000\n1650 2470\n58445 87709\n39009 58548\n19553 29347\n97228 100000\n96808 100000\n66937 100000\n98901 100000\n32930 49437\n61144 91719\n33844 50819\n52185 78310\n41615 62495\n39717 59610\n17179 25764\n59496 89281\n61085 91632\n87480 100000\n17802 26711\n96911 100000\n12296 18409\n1206 1793\n94158 100000\n42036 63128\n13274 19891\n75734 100000\n7451 11196\n8114 12167\n82790 100000\n33497 50284\n67170 100000\n31654 47517\n1574 2356\n42198 63366\n77811 100000\n23456 35215\n3270 4916\n47413 71211\n68412 100000\n87131 100000\n61889 92836\n15743 23568\n2612 3922\n50443 75704\n19319 28981\n24014 36054\n24217 36353\n65455 98185\n34205 51360\n83104 100000\n14582 21829\n96170 100000\n53320 80000\n17531 26296\n90266 100000\n75712 100000\n58187 87307\n32014 48066\n66168 99259\n50581 75908\n59957 89969\n31468 47250\n40649 61007\n10739 16072\n55250 82882\n15942 23865\n59267 88937\n82645 100000\n50437 75695\n25242 37898\n69458 100000\n46609 70008\n71288 100000\n30308 45502\n72071 100000\n7264 10908\n91258 100000\n7092 10647\n50085 75171\n32085 48175\n96481 100000\n91961 100000\n80503 100000\n10648 15927\n16259 24344\n27769 41682\n3770 5673\n44704 67120\n2258 3385\n48046 72159\n47153 70822\n25400 38118\n72099 100000\n74285 100000\n70849 100000\n89387 100000\n96519 100000\n34154 51285\n23290 34963\n39938 59944\n55623 83453\n53716 80603\n57408 86118\n72052 100000\n56693 85059\n85373 100000\n6739 10119\n70714 100000\n16828 25217\n19612 29436\n40189 60312\n94669 100000\n80493 100000\n71554 100000\n80242 100000\n26190 39290\n15801 23657\n11264 16864\n86416 100000\n89389 100000\n62798 94210\n41878 62891\n86139 100000\n51159 76772\n78087 100000\n77558 100000\n51737 77644\n83580 100000\n54538 81817\n61815 92724\n73794 100000\n34727 52138\n90861 100000\n12061 18069\n1679 2515\n84456 100000\n44249 66459\n48336 72583\n81860 100000\n84022 100000\n9730 14550\n80945 100000\n42456 63773\n94647 100000\n41851 62850\n49098 73734\n23484 35257\n5990 8999\n25730 38594\n86449 100000\n49003 73593\n63817 95716\n63238 94857\n9732 14553\n24945 37453\n12893 19323\n72309 100000\n23718 35601\n40059 60120\n71140 100000\n92260 100000\n97965 100000\n67401 100000\n45469 68272\n3878 5840\n25158 37769\n80300 100000\n5217 7836\n42892 64428\n27779 41696\n33638 50499\n8876 13287\n60867 91310\n37757 56665\n70522 100000\n31066 46653\n39285 58960\n53761 80674\n7947 11922\n79323 100000\n87011 100000\n66405 99611\n95409 100000\n4598 6916\n97302 100000\n48113 72252\n63628 95436\n34420 51679\n59183 88807\n59901 89881\n501 756\n63483 95220\n83642 100000\n18183 27281\n3134 4710\n16835 25227\n19560 29357\n33831 50797\n75504 100000\n28104 42192\n15288 22888\n39366 59084\n50431 75686\n30483 45771\n4885 7341\n50077 75160\n8094 12138\n59217 88858\n90586 100000\n92643 100000\n53581 80402\n42984 64573\n97846 100000\n95588 100000\n18542 27829\n91519 100000\n41296 62003\n49916 74930\n43642 65540\n59072 88644\n53812 80748\n54400 81616\n26440 39670\n24933 37438\n32100 48195\n15413 23082\n41494 62309\n35594 53434\n55401 83111\n8085 12125\n50652 76015\n16219 24285\n90718 100000\n94782 100000\n63343 95012\n48090 72220\n97282 100000\n9195 13764\n50972 76497\n61493 92254\n68677 100000\n55276 82921\n66409 99617\n64191 96285\n48495 72832\n45977 69032\n43456 65267\n6709 10073\n95917 100000\n18600 27915\n99483 100000\n97081 100000\n7871 11817\n35565 53385\n47837 71846\n90471 100000\n21760 32675\n91763 100000\n75437 100000\n80829 100000\n53609 80446\n26110 39160\n17666 26504\n22502 33790\n51973 77998\n31212 46864\n63881 95812\n51037 76594\n30086 45157\n32050 48123\n65364 98050\n6649 9987\n31895 47887\n63116 94680\n72375 100000\n29462 44224\n51476 77245\n99791 100000\n8403 12597\n51334 77031\n58597 87942\n42562 63929\n68469 100000\n89066 100000\n54874 82309\n65196 97792\n81833 100000\n62581 93895\n54596 81898\n58866 88350\n45114 67743\n52645 79003\n67384 100000\n17190 25782\n55114 82678\n21905 32907\n20840 31272\n50263 75441\n44579 66940\n69581 100000\n4202 6324\n78043 100000\n20631 30968\n65268 97900\n97804 100000\n20685 31049\n74475 100000\n19142 28722\n53074 79643\n68543 100000\n85897 100000\n98815 100000\n39208 58845\n94476 100000\n35811 53752\n73920 100000\n3227 4856\n1995 2988\n9649 14428\n42895 64433\n48429 72726\n87721 100000\n75478 100000\n53052 79609\n96304 100000\n49580 74439\n12821 19211\n65921 98888\n7140 10714\n56782 85185\n53121 79714\n30817 46273\n69788 100000\n36391 54613\n46573 69955\n93942 100000\n13871 20758\n46056 69149\n75498 100000\n38060 57116\n99729 100000\n56559 84859\n87176 100000\n12668 18980\n19123 28693\n32282 48471\n85700 100000\n85564 100000\n46134 69264\n21752 32663\n1271 1885\n50836 76298\n75602 100000\n25255 37919\n16236 24310\n42014 63095\n12807 19192\n44698 67111\n81351 100000\n60852 91288\n1658 2484\n63467 95195\n21013 31531\n70744 100000\n92039 100000\n99104 100000\n16779 25137\n29478 44251\n8614 12901\n41312 62028\n86315 100000\n96837 100000\n98896 100000\n12493 18715\n88966 100000\n65259 97885\n85150 100000\n99902 100000\n76545 100000\n63827 95731\n63400 95095\n97161 100000\n62570 93877\n4734 7119\n5158 7749\n18509 27775\n62896 94355\n83276 100000\n32975 49502\n4320 6501\n9820 14691\n33800 50749\n87263 100000\n81603 100000\n47465 71291\n25719 38576\n34589 51926\n73536 100000\n39187 58813\n33127 49729\n89778 100000\n7903 11862\n48409 72698\n8658 12966\n86733 100000\n48157 72316\n33571 50399\n24882 37357\n40924 61433\n13864 20745\n77201 100000\n37856 56818\n21881 32866\n71655 100000\n45020 67610\n26311 39475\n14860 22244\n76778 100000\n29605 44437\n69314 100000\n68508 100000\n44013 66099\n65003 97506\n82101 100000\n36478 54741\n58490 87783\n19140 28718\n94223 100000\n84766 100000\n96912 100000\n33758 50685\n71676 100000\n51700 77590\n74822 100000\n64427 96650\n41439 62223\n28618 42968\n55123 82692\n30529 45843\n74216 100000\n82077 100000\n20433 30667\n76695 100000\n56141 84227\n10065 15049\n61724 92589\n11813 17693\n58947 88462\n69911 100000\n85309 100000\n25897 38836\n15090 22591\n5160 7751\n58675 88068\n7651 11491\n42019 63103\n29757 44661\n42599 63984\n50250 75422\n52902 79392\n71730 100000\n43638 65536\n28788 43215\n95198 100000\n92387 100000\n7260 10902\n95504 100000\n6951 10437\n86690 100000\n55469 83218\n64453 96692\n47521 71372\n10156 15187\n38170 57283\n50761 76182\n93262 100000\n52847 79311\n3667 5521\n54947 82420\n55657 83504\n15079 22575\n20964 31461\n98385 100000\n23807 35734\n42075 63184\n43375 65153\n14784 22129\n41527 62355\n63579 95367\n61055 91584\n33028 49585\n95295 100000\n89797 100000\n78942 100000\n81053 100000\n30321 45521\n68322 100000\n7495 11260\n7165 10756\n44748 67184\n40483 60754\n29126 43732\n62414 93635\n95769 100000\n25965 38941\n66018 99033\n89888 100000\n44542 66891\n41284 61987\n86788 100000\n54132 81226\n37609 56450\n21920 32929\n37574 56394\n66225 99347\n50353 75578\n26328 39504\n14974 22415\n83271 100000\n15038 22514\n85985 100000\n17061 25574\n84568 100000\n43784 65754\n70978 100000\n85025 100000\n24429 36673\n82424 100000\n67483 100000\n15496 23216\n37536 56331\n80963 100000\n23434 35178\n23595 35419\n5745 8640\n77710 100000\n81100 100000\n45752 68695\n66370 99560\n54577 81869\n35558 53376\n80953 100000\n65519 98281\n75537 100000\n9154 13703\n77525 100000\n84155 100000\n98335 100000\n82940 100000\n71045 100000\n67733 100000\n40053 60111\n67905 100000\n50909 76404\n79606 100000\n1395 2085\n87927 100000\n61141 91715\n1027 1537\n39534 59336\n4758 7155\n81396 100000\n73407 100000\n75686 100000\n80611 100000\n96582 100000\n84972 100000\n6532 9812\n91320 100000\n64054 96084\n90689 100000\n3629 5463\n3986 6009\n40244 60392\n75192 100000\n80146 100000\n86303 100000\n63716 95569\n53315 79992\n81706 100000\n86114 100000\n39160 58775\n87522 100000\n19031 28549\n70787 100000\n98974 100000\n43568 65432\n29393 44120\n97021 100000\n58105 87180\n58569 87900\n99122 100000\n46720 70171\n50758 76178\n40500 60778\n44301 66535\n90964 100000\n73511 100000\n33565 50391\n5257 7900\n90915 100000\n40788 61225\n73438 100000\n46085 69195\n31471 47254\n41039 61606\n82945 100000\n96748 100000\n25002 37540\n10451 15627\n36353 54555\n28623 42976\n10459 15638\n10222 15283\n15483 23196\n14437 21609\n99294 100000\n8972 13428\n89743 100000\n29410 44147\n52094 78181\n49286 74010\n72835 100000\n4462 6711\n96465 100000\n67799 100000\n75607 100000\n43453 65264\n85376 100000\n3952 5957\n63932 95892\n86361 100000\n1171 1742\n46394 69679\n12637 18936\n15262 22846\n79819 100000\n24986 37520\n97661 100000\n58679 88074\n20675 31034\n95805 100000\n20584 30903\n77291 100000\n83908 100000\n92665 100000\n63772 95650\n67164 100000\n91602 100000\n35398 53135\n60371 90581\n9475 14185\n38813 58253\n5835 8772\n29120 43722\n78692 100000\n72873 100000\n7406 11127\n95954 100000\n39811 59750\n81694 100000\n35665 53535\n49884 74888\n97320 100000\n57230 85855\n39819 59761\n57239 85869\n29945 44945\n51339 77038\n32690 49077\n45593 68455\n91126 100000\n76148 100000\n38003 57040\n56339 84526\n63686 95522\n14366 21504\n99595 100000\n91882 100000\n80297 100000\n96487 100000\n33824 50787\n81993 100000\n5316 7991\n31992 48032\n63697 95540\n42751 64221\n43366 65141\n65993 98998\n9884 14786\n12423 18611\n85901 100000\n39591 59425\n61703 92559\n83338 100000\n73533 100000\n4231 6363\n61340 92017\n8823 13210\n37756 56664\n80238 100000\n20061 30096\n91616 100000\n32672 49053\n45153 67803\n27650 41495\n84862 100000\n73720 100000\n60739 91122\n76428 100000\n76630 100000\n95778 100000\n17116 25657\n31870 47851\n2032 3044\n81292 100000\n33483 50264\n30333 45538\n29779 44691\n49349 74093\n26313 39479\n9572 14321\n41442 62227\n8793 13165\n84244 100000\n58924 88431\n44962 67520\n24607 36951\n93187 100000\n43570 65436\n73654 100000\n79917 100000\n73103 100000\n48574 72949\n66720 100000\n54511 81778\n14210 21278\n99029 100000\n29336 44040\n55872 83817\n76362 100000\n42893 64429\n4305 6479\n11180 16736\n3851 5799\n90181 100000\n29643 44495\n98192 100000\n42955 64529\n32667 49044\n83136 100000\n53166 79779\n4558 6857\n90631 100000\n4489 6752\n81448 100000\n98990 100000\n89569 100000\n8686 13010\n73965 100000\n42841 64355\n21196 31809\n25440 38174\n69099 100000\n35562 53381\n80577 100000\n11949 17907\n69250 100000\n57595 86399\n97389 100000\n27662 41514\n21598 32420\n8581 12855\n75062 100000\n51820 77773\n3692 5559\n60033 90082\n75427 100000\n93118 100000\n43293 65032\n76464 100000\n446 679\n83014 100000\n35789 53716\n85990 100000\n9932 14854\n79680 100000\n57214 85835\n24824 37274\n75432 100000\n21643 32496\n44946 67493\n14337 21461\n93926 100000\n89216 100000\n88696 100000\n2125 3184\n99908 100000\n5824 8757\n20611 30944\n64060 96095\n47078 70709\n2177 3263\n35767 53681\n57361 86049\n9761 14599\n43343 65106\n73185 100000\n34646 52014\n16872 25285\n1225 1820\n88718 100000\n42025 63113\n70154 100000\n88799 100000\n61630 92452\n52961 79479\n98092 100000\n31221 46878\n89767 100000\n77509 100000\n24738 37141\n31368 47097\n18694 28055\n51705 77596\n47571 71447\n90607 100000\n90961 100000\n57474 86217\n94717 100000\n29601 44431\n88572 100000\n85604 100000\n26639 39963\n12899 19331\n3815 5742\n3136 4713\n72744 100000\n59247 88907\n65985 98987\n36677 55034\n24319 36502\n48055 72172\n80084 100000\n75065 100000\n52104 78197\n71224 100000\n83649 100000\n20896 31360\n45175 67833\n16444 24624\n25187 37812\n4892 7353\n33395 50131\n97720 100000\n77984 100000\n63082 94629\n63577 95363\n97930 100000\n65468 98207\n10523 15737\n91386 100000\n8110 12161\n87694 100000\n22898 34375\n79675 100000\n69967 100000\n96731 100000\n47792 71775\n5770 8675\n68245 100000\n85900 100000\n42105 63229\n2259 3387\n27119 40693\n17714 26579\n32652 49021\n66085 99132\n81403 100000\n36843 55279\n95487 100000\n79694 100000\n1715 2573\n45447 68238\n30735 46151\n13995 20947\n20022 30034\n24442 36694\n95508 100000\n14571 21812\n31884 47870\n69602 100000\n20048 30075\n27019 40536\n63904 95848\n58775 88210\n32414 48669\n85713 100000\n36346 54544\n35310 53007\n37343 56038\n32825 49282\n2655 3987\n62211 93329\n244 370\n93169 100000\n62985 94482\n66373 99564\n92563 100000\n28096 42180\n60353 90551\n71103 100000\n30383 45611\n90860 100000\n15408 23074\n23618 35456\n95081 100000\n4177 6287\n13451 20148\n71327 100000\n24939 37444\n88578 100000\n20049 30077\n59364 89083\n62372 93574\n28230 42386\n55253 82886\n26542 39822\n92386 100000\n46512 69862\n79334 100000\n40436 60687\n92174 100000\n64831 97244\n45264 67964\n78017 100000\n8711 13049\n4108 6192\n48285 72505\n97767 100000\n59388 89119\n6226 9349\n57538 86315\n98577 100000\n64052 96080\n1848 2777\n93851 100000\n77166 100000\n72156 100000\n79025 100000\n67011 100000\n97590 100000\n92733 100000\n92715 100000\n16806 25183\n81911 100000\n9601 14363\n29433 44182\n38391 57603\n36785 55189\n30223 45375\n36036 54088\n18949 28429\n76866 100000\n89676 100000\n42060 63161\n14914 22323\n44374 66645\n75251 100000\n83904 100000\n35879 53854\n9463 14167\n16452 24637\n14759 22093\n22697 34077\n11 17\n58020 87040\n97016 100000\n50234 75393\n51979 78007\n76412 100000\n57162 85758\n48012 72106\n87546 100000\n36352 54554\n61322 91990\n44379 66653\n55473 83224\n12798 19179\n49758 74697\n80845 100000\n31920 47924\n29002 43545\n62091 93146\n11544 17277\n74862 100000\n22523 33822\n89001 100000\n65412 98118\n39608 59447\n30435 45696\n44232 66430\n61577 92377\n90486 100000\n53501 80283\n76667 100000\n44721 67142\n44426 66720\n53491 80267\n18016 27026\n13100 19629\n60920 91388\n83383 100000\n1146 1705\n99101 100000\n66459 99692\n88992 100000\n66687 100000\n14010 20968\n50145 75263\n41890 62909\n85484 100000\n2165 3246\n79822 100000\n42927 64483\n17796 26702\n52754 79173\n29376 44097\n26379 39580\n92191 100000\n19178 28777\n50695 76072\n58892 88392\n28915 43413\n65719 98585\n67307 100000\n59175 88794\n89190 100000\n40642 60998\n18111 27173\n65694 98544\n29124 43729\n72066 100000\n48882 73408\n43460 65273\n52315 78500\n7529 11311\n74070 100000\n62253 93393\n76462 100000\n48526 72875\n91849 100000\n36610 54941\n70948 100000\n3666 5519\n86678 100000\n83802 100000\n27452 41196\n33591 50428\n96484 100000\n68241 100000\n60226 90366\n67442 100000\n11161 16707\n81203 100000\n33940 50969\n40641 60996\n57694 86548\n50966 76486\n52584 78905\n91625 100000\n32991 49528\n71498 100000\n2760 4146\n90721 100000\n39319 59011\n63034 94552\n85866 100000\n71968 100000\n38505 57779\n34092 51204\n22788 34208\n4413 6642\n74453 100000\n43519 65360\n9715 14527\n17899 26860\n3508 5282\n82982 100000\n1761 2641\n57895 86856\n77159 100000\n87060 100000\n22777 34192\n79427 100000\n55543 83333\n27345 41028\n49475 74285\n24865 37332\n69436 100000\n49772 74720\n39126 58723\n95786 100000\n66055 99085\n87980 100000\n60314 90491\n5501 8277\n76827 100000\n92416 100000\n74521 100000\n60259 90412\n59710 89599\n11809 17688\n26318 39487\n54719 82079\n24438 36687\n20764 31160\n78177 100000\n42270 63476\n92949 100000\n21513 32287\n93911 100000\n68139 100000\n32314 48520\n87049 100000\n97339 100000\n57790 86693\n93273 100000\n61987 92983\n70559 100000\n78284 100000\n73375 100000\n92425 100000\n6804 10215\n32613 48963\n86701 100000\n76677 100000\n75329 100000\n6653 9993\n46131 69260\n91082 100000\n37022 55559\n75346 100000\n58598 87944\n44400 66683\n17151 25716\n53726 80619\n58460 87735\n74445 100000\n81426 100000\n89264 100000\n15516 23241\n80564 100000\n10340 15459\n8076 12110\n94912 100000\n18617 27941\n88997 100000\n43891 65917\n61130 91700\n25253 37915\n97091 100000\n47801 71791\n92773 100000\n8235 12352\n80707 100000\n36984 55501\n32052 48126\n79277 100000\n6846 10280\n56699 85069\n77471 100000\n37718 56606\n56611 84939\n38634 57973\n56823 85247\n61639 92467\n14192 21249\n36068 54136\n64411 96623\n80798 100000\n13069 19585\n38532 57822\n82593 100000\n77579 100000\n79113 100000\n12520 18762\n39239 58892\n78964 100000\n27213 40836\n14926 22340\n21956 32981\n64671 97009\n76710 100000\n6607 9918\n5351 8039\n48734 73192\n84508 100000\n62429 93661\n74559 100000\n25700 38550\n37437 56183\n97350 100000\n19199 28804\n12942 19393\n43745 65697\n24463 36730\n40518 60806\n87936 100000\n48753 73218\n17981 26977\n23009 34545\n15994 23948\n90364 100000\n42956 64531\n48654 73072\n14681 21973\n79640 100000\n12172 18227\n99706 100000\n83884 100000\n6584 9888\n64139 96209\n66454 99684\n69372 100000\n66231 99355\n16459 24649\n94322 100000\n85341 100000\n24303 36475\n14878 22270\n97797 100000\n77856 100000\n47886 71920\n85777 100000\n66004 99013\n31634 47492\n82956 100000\n51471 77238\n4 6\n20008 30013\n88347 100000\n16638 24933\n46883 70413\n61338 92014\n67035 100000\n56748 85140\n52096 78184\n87971 100000\n26609 39921\n86426 100000\n79667 100000\n49306 74033\n42974 64556\n42266 63470\n39029 58578\n98763 100000\n48900 73434\n23813 35745\n51799 77741\n4879 7329\n82724 100000\n83519 100000\n77840 100000\n71216 100000\n63312 94964\n25712 38566\n56955 85449\n92613 100000\n71247 100000\n64262 96392\n74264 100000\n20757 31149\n35666 53537\n34796 52242\n8794 13167\n35479 53258\n82776 100000\n46336 69582\n6283 9441\n40550 60857\n47586 71468\n12916 19355\n21425 32157\n71386 100000\n67992 100000\n60085 90160\n49008 73600\n8387 12570\n49279 74001\n65248 97869\n7073 10619\n3360 5055\n64931 97399\n32619 48972\n72762 100000\n7881 11833\n59871 89834\n35294 52984\n83869 100000\n16717 25045\n16515 24736\n70020 100000\n82089 100000\n97918 100000\n97218 100000\n36808 55225\n17006 25491\n13317 19953\n92112 100000\n63680 95513\n31254 46926\n74683 100000\n59564 89380\n61672 92513\n28233 42389\n5593 8418\n85802 100000\n8849 13246\n58581 87917\n57670 86512\n7410 11133\n47029 70631\n53292 79957\n70005 100000\n93291 100000\n91177 100000\n77263 100000\n82348 100000\n20098 30150\n97908 100000\n728 1098\n11470 17167\n64733 97101\n56652 85002\n1452 2172\n33554 50375\n67410 100000\n79719 100000\n11185 16745\n52634 78984\n65743 98620\n79073 100000\n21849 32815\n97532 100000\n53498 80278\n7118 10681\n4247 6389\n78611 100000\n19976 29971\n75124 100000\n47626 71530\n93354 100000\n28680 43059\n47637 71546\n43149 64820\n67842 100000\n79031 100000\n25765 38652\n63118 94683\n88863 100000\n61791 92688\n16389 24536\n20576 30889\n31746 47656\n53530 80327\n18446 27682\n84814 100000\n67281 100000\n66195 99304\n58158 87263\n25904 38847\n88502 100000\n85143 100000\n84017 100000\n94307 100000\n59614 89452\n64412 96625\n26407 39624\n20769 31168\n98406 100000\n95912 100000\n80012 100000\n18352 27535\n92433 100000\n60838 91267\n26000 38996\n95148 100000\n60697 91059\n28612 42959\n91400 100000\n19024 28539\n15842 23716\n56930 85408\n48901 73436\n40439 60690\n15152 22682\n2511 3767\n51372 77087\n21902 32902\n27561 41368\n76504 100000\n36958 55459\n50063 75137\n56387 84597\n99887 100000\n76169 100000\n9555 14298\n84655 100000\n63309 94960\n49881 74885\n72945 100000\n35616 53468\n40092 60167\n80200 100000\n98615 100000\n37501 56279\n79042 100000\n60612 90937\n66793 100000\n37425 56164\n20327 30502\n42540 63897\n32466 48750\n83118 100000\n77412 100000\n46114 69238\n58662 88048\n29542 44345\n65569 98354\n42653 64065\n62514 93786\n25297 37973\n40964 61487\n39823 59768\n69118 100000\n4535 6821\n81456 100000\n84122 100000\n45554 68395\n40666 61035\n88710 100000\n52144 78255\n80262 100000\n53811 80747\n50105 75203\n8984 13445\n99341 100000\n11626 17401\n81245 100000\n26589 39891\n47550 71417\n48107 72244\n99994 100000\n21253 31892\n64672 97010\n38743 58144\n56852 85290\n77834 100000\n65401 98100\n80940 100000\n58263 87429\n32770 49200\n70246 100000\n41104 61706\n58322 87524\n89079 100000\n83354 100000\n64516 96782\n94439 100000\n18929 28398\n36142 54241\n35220 52874\n24858 37322\n63617 95420\n77261 100000\n3615 5441\n57152 85741\n81030 100000\n13858 20738\n33747 50670\n88929 100000\n50971 76496\n86285 100000\n67051 100000\n22260 33440\n97764 100000\n99613 100000\n30925 46439\n62048 93082\n78974 100000\n31448 47220\n69621 100000\n78081 100000\n78289 100000\n52986 79512\n55011 82513\n72776 100000\n7139 10712\n57757 86639\n17237 25851\n78747 100000\n12026 18021\n87987 100000\n99301 100000\n60950 91432\n90205 100000\n36398 54622\n7130 10698\n87506 100000\n89696 100000\n18673 28024\n5656 8510\n47764 71733\n14277 21371\n90189 100000\n91698 100000\n11187 16748\n75739 100000\n54024 81070\n29499 44279\n40903 61404\n54039 81090\n62080 93131\n80808 100000\n77596 100000\n46070 69170\n13622 20391\n70822 100000\n78526 100000\n2803 4211\n39556 59368\n76868 100000\n19182 28782\n82135 100000\n65644 98468\n59031 88586\n86656 100000\n12976 19444\n8916 13349\n67668 100000\n40748 61163\n35640 53499\n86006 100000\n94642 100000\n7184 10786\n94120 100000\n68956 100000\n8784 13153\n19183 28783\n5580 8394\n71387 100000\n38167 57278\n69919 100000\n65083 97620\n317 483\n18035 27056\n28453 42720\n18975 28470\n36245 54391\n90119 100000\n29755 44659\n40598 60930\n53057 79617\n37350 56049\n93492 100000\n35919 53913\n92153 100000\n22428 33675\n64317 96479\n42120 63251\n89621 100000\n95306 100000\n26561 39851\n94202 100000\n61369 92058\n83841 100000\n12187 18251\n36035 54087\n86585 100000\n29865 44827\n67189 100000\n52012 78059\n69222 100000\n52122 78222\n86121 100000\n95884 100000\n89924 100000\n6013 9030\n41842 62840\n23351 35056\n85222 100000\n10425 15588\n58987 88519\n35556 53374\n57503 86266\n7039 10569\n70293 100000\n9962 14898\n34459 51735\n63097 94651\n94699 100000\n66692 100000\n71773 100000\n50545 75855\n95430 100000\n77554 100000\n75443 100000\n7751 11643\n53953 80959\n15417 23088\n84705 100000\n21667 32533\n78992 100000\n54560 81847\n52244 78395\n9117 13647\n11643 17427\n41816 62799\n4699 7065\n58943 88456\n76686 100000\n45294 68006\n55422 83147\n25805 38706\n71146 100000\n79041 100000\n3299 4959\n21930 32942\n76989 100000\n12684 19003\n79530 100000\n78953 100000\n27330 41009\n86499 100000\n36141 54239\n97746 100000\n97379 100000\n96689 100000\n18953 28436\n88054 100000\n35321 53025\n77436 100000\n77777 100000\n23320 35013\n25174 37794\n10605 15861\n71136 100000\n56762 85156\n35264 52942\n37998 57031\n31675 47545\n50763 76185\n25432 38164\n80698 100000\n21816 32763\n90297 100000\n86348 100000\n79033 100000\n34785 52227\n93895 100000\n8539 12793\n16254 24337\n15709 23522\n81887 100000\n49141 73801\n15326 22950\n36225 54358\n15428 23107\n26850 40289\n9951 14884\n28457 42726\n27056 40595\n41310 62026\n53075 79644\n15775 23622\n19610 29432\n1006 1507\n40595 60925\n95389 100000\n34127 51249\n42399 63687\n44800 67263\n23767 35672\n11786 17649\n33873 50867\n67637 100000\n8591 12870\n72895 100000\n95484 100000\n31612 47461\n35032 52595\n91759 100000\n20523 30811\n24517 36814\n34798 52246\n61486 92242\n20832 31261\n37963 56979\n94822 100000\n92033 100000\n11600 17362\n35571 53395\n46476 69806\n91597 100000\n99607 100000\n41760 62715\n50810 76256\n86094 100000\n17100 25633\n32607 48952\n84940 100000\n56045 84081\n94806 100000\n70170 100000\n97946 100000\n39504 59291\n12943 19395\n98351 100000\n36770 55167\n83256 100000\n95895 100000\n6984 10483\n51760 77675\n13865 20747\n72138 100000\n73539 100000\n48083 72210\n37822 56766\n25759 38642\n74875 100000\n90188 100000\n49366 74118\n27877 41843\n32465 48749\n90366 100000\n67171 100000\n32227 48385\n16696 25020\n42756 64229\n37257 55912\n16596 24869\n84948 100000\n81306 100000\n36665 55019\n35981 54002\n75332 100000\n54872 82305\n81369 100000\n7413 11137\n95093 100000\n5604 8436\n30797 46243\n48332 72577\n60070 90135\n6710 10075\n99600 100000\n47187 70873\n11086 16597\n17188 25778\n31445 47214\n88715 100000\n82909 100000\n51738 77645\n50481 75758\n50237 75398\n69076 100000\n21140 31724\n25324 38009\n70220 100000\n53285 79949\n25144 37748\n514 775\n42826 64335\n79929 100000\n31715 47601\n23307 34990\n66194 99303\n31644 47504\n90550 100000\n93236 100000\n2950 4439\n7885 11839\n84889 100000\n12883 19306\n50054 75125\n4490 6754\n67244 100000\n98071 100000\n59092 88672\n5103 7667\n86634 100000\n30552 45875\n99920 100000\n24877 37350\n39732 59636\n19608 29430\n57945 86930\n56064 84113\n6512 9780\n15952 23881\n50148 75269\n44223 66417\n92503 100000\n30092 45166\n95825 100000\n34621 51971\n42476 63803\n16007 23967\n72716 100000\n21133 31714\n95723 100000\n2355 3538\n85387 100000\n61425 92143\n65754 98634\n28301 42494\n13861 20742\n44573 66931\n91421 100000\n37220 55857\n41828 62818\n83582 100000\n91487 100000\n13310 19944\n31504 47298\n38838 58287\n62979 94474\n30309 45504\n76838 100000\n47704 71647\n70719 100000\n46289 69509\n14511 21721\n67126 100000\n53767 80683\n61254 91888\n4259 6407\n85439 100000\n37033 55577\n18767 28162\n22196 33341\n89780 100000\n96194 100000\n23185 34812\n79592 100000\n85727 100000\n55068 82602\n84195 100000\n10962 16408\n80380 100000\n4438 6680\n79742 100000\n58072 87126\n82765 100000\n28853 43318\n42971 64553\n55309 82969\n80966 100000\n37355 56058\n55170 82768\n32382 48618\n91930 100000\n21935 32950\n19708 29574\n5701 8578\n73373 100000\n92036 100000\n36553 54855\n34151 51282\n98827 100000\n89182 100000\n64548 96827\n9893 14798\n13737 20556\n66652 99966\n26971 40465\n97558 100000\n39135 58737\n32261 48441\n42523 63873\n65844 98771\n45038 67634\n10811 16180\n17287 25932\n77292 100000\n53138 79740\n51511 77297\n83167 100000\n14700 22002\n63225 94840\n36219 54350\n49486 74304\n29956 44963\n4156 6258\n2412 3623\n94108 100000\n87928 100000\n71963 100000\n79027 100000\n56263 84409\n46347 69599\n20844 31278\n77488 100000\n40990 61528\n28051 42113\n61325 91995\n52685 79064\n9140 13679\n93568 100000\n19986 29982\n58335 87542\n57307 85964\n52975 79498\n88713 100000\n16441 24620\n4458 6706\n59769 89693\n7729 11610\n56314 84486\n63676 95506\n75020 100000\n58443 87705\n92767 100000\n65620 98434\n63423 95128\n65177 97764\n81881 100000\n76883 100000\n21781 32709\n35832 53783\n56443 84688\n84295 100000\n28367 42591\n1355 2017\n72854 100000\n31084 46682\n70952 100000\n51855 77822\n51465 77228\n64730 97096\n94250 100000\n77036 100000\n72538 100000\n57984 86987\n16312 24427\n9896 14802\n43880 65900\n6099 9166\n74008 100000\n39800 59733\n23343 35045\n98302 100000\n93307 100000\n27553 41354\n8513 12755\n97417 100000\n35670 53542\n48528 72878\n99552 100000\n97534 100000\n32546 48859\n32000 48045\n50843 76307\n15335 22964\n42526 63877\n67821 100000\n69077 100000\n50366 75596\n18833 28260\n21662 32526\n49612 74487\n90103 100000\n40909 61413\n81270 100000\n9099 13616\n9335 13977\n92102 100000\n86096 100000\n44311 66550\n48293 72518\n74924 100000\n37307 55987\n88344 100000\n88848 100000\n50499 75786\n2838 4258\n59738 89643\n91050 100000\n90177 100000\n88309 100000\n14913 22322\n62457 93702\n89303 100000\n70006 100000\n70426 100000\n89395 100000\n78849 100000\n36511 54793\n86382 100000\n22203 33351\n51621 77467\n97261 100000\n61136 91708\n94387 100000\n82978 100000\n35110 52706\n27260 40903\n50087 75174\n40129 60224\n22755 34160\n80344 100000\n71157 100000\n82446 100000\n75575 100000\n90930 100000\n21522 32301\n75541 100000\n40256 60412\n4290 6454\n16295 24402\n32213 48363\n9251 13847\n78094 100000\n44574 66933\n9734 14556\n51554 77363\n95158 100000\n57886 86842\n45389 68150\n43165 64845\n6255 9393\n41427 62207\n93701 100000\n15128 22643\n22022 33079\n3717 5595\n11956 17917\n28982 43514\n54081 81149\n5789 8704\n61160 91744\n56779 85181\n98075 100000\n92459 100000\n25598 38402\n37369 56079\n43374 65152\n13600 20364\n91297 100000\n15718 23534\n96764 100000\n81921 100000\n540 815\n60618 90945\n64435 96663\n16208 24271\n81640 100000\n97991 100000\n1873 2811\n87102 100000\n47573 71451\n72977 100000\n67538 100000\n3940 5937\n43812 65795\n24980 37510\n53863 80825\n77798 100000\n14059 21040\n69605 100000\n82685 100000\n85088 100000\n48918 73466\n21303 31972\n38458 57705\n70101 100000\n63629 95437\n29230 43889\n44451 66754\n5957 8951\n75761 100000\n96065 100000\n46366 69630\n51602 77437\n19248 28876\n90650 100000\n30196 45333\n92301 100000\n40010 60045\n37523 56311\n72204 100000\n18341 27518\n87026 100000\n47126 70779\n23292 34966\n3289 4945\n34807 52260\n75027 100000\n74996 100000\n7860 11799\n9834 14709\n42667 64088\n89046 100000\n32480 48768\n44394 66674\n26461 39702\n78917 100000\n74931 100000\n38251 57396\n18339 27515\n8427 12628\n59098 88681\n83220 100000\n43112 64765\n49317 74051\n57741 86617\n22928 34423\n90713 100000\n25390 38104\n19017 28529\n43787 65757\n68972 100000\n55247 82878\n96859 100000\n88051 100000\n2478 3717\n62281 93438\n24935 37440\n91305 100000\n90564 100000\n24640 36999\n95603 100000\n95869 100000\n65146 97718\n67416 100000\n96746 100000\n45095 67717\n77205 100000\n78107 100000\n46972 70540\n95349 100000\n86481 100000\n33897 50903\n3752 5646\n25418 38146\n66651 99965\n51394 77122\n24630 36981\n51928 77926\n48457 72770\n95071 100000\n81029 100000\n8134 12197\n25926 38883\n48270 72480\n625 943\n77391 100000\n86111 100000\n35588 53424\n61127 91696\n85193 100000\n96202 100000\n22307 33504\n45288 67995\n66066 99104\n43157 64833\n82605 100000\n7938 11909\n12259 18355\n21461 32209\n25338 38029\n68910 100000\n34488 51776\n76006 100000\n34778 52216\n57970 86967\n52575 78894\n17610 26416\n32110 48212\n99583 100000\n8066 12100\n38988 58517\n85354 100000\n58287 87464\n13546 20290\n33567 50394\n36341 54536\n88078 100000\n62506 93775\n15548 23288\n94931 100000\n65522 98287\n87318 100000\n48227 72414\n29680 44549\n85603 100000\n47296 71036\n41931 62968\n74713 100000\n50328 75540\n57280 85926\n33233 49886\n70752 100000\n87615 100000\n92906 100000\n79306 100000\n93246 100000\n32293 48485\n99598 100000\n53136 79737\n36297 54471\n88018 100000\n34766 52198\n60351 90548\n45221 67900\n65493 98243\n84587 100000\n57686 86537\n98115 100000\n92478 100000\n78855 100000\n21386 32096\n22969 34485\n61202 91805\n60300 90470\n74185 100000\n13937 20859\n49891 74897\n32867 49341\n20362 30556\n80897 100000\n31952 47970\n92646 100000\n37357 56061\n87473 100000\n20184 30282\n51697 77586\n94170 100000\n33409 50149\n26569 39860\n83116 100000\n48307 72540\n93183 100000\n26757 40145\n32526 48830\n26147 39218\n43106 64755\n60949 91430\n40230 60372\n28578 42905\n46067 69166\n84975 100000\n19945 29927\n68335 100000\n29425 44170\n15454 23152\n90821 100000\n72599 100000\n77394 100000\n22042 33110\n62021 93033\n74395 100000\n66333 99501\n48216 72401\n92919 100000\n5143 7726\n59742 89650\n737 1109\n86523 100000\n95419 100000\n9864 14753\n50644 76002\n51725 77626\n19465 29211\n619 934\n25105 37687\n56028 84055\n56395 84609\n45747 68685\n61588 92392\n18072 27111\n92100 100000\n62150 93238\n14660 21942\n15441 23130\n3462 5218\n35266 52945\n664 1006\n9693 14495\n92360 100000\n18055 27085\n40101 60182\n95789 100000\n84128 100000\n82170 100000\n58210 87347\n96423 100000\n14941 22366\n97358 100000\n47833 71839\n82220 100000\n20656 31003\n16213 24278\n75765 100000\n42804 64302\n40771 61199\n19823 29751\n79706 100000\n74524 100000\n8120 12174\n88212 100000\n42651 64061\n72080 100000\n19175 28773\n36802 55216\n21911 32915\n22864 34323\n13455 20154\n42511 63855\n29988 45011\n50090 75179\n63534 95296\n12459 18664\n33279 49961\n72491 100000\n16667 24975\n78010 100000\n79453 100000\n54019 81062\n31354 47077\n13235 19830\n57796 86702\n79910 100000\n31128 46745\n41927 62963\n86420 100000\n82503 100000\n63747 95612\n57801 86712\n76553 100000\n30609 45961\n87824 100000\n63046 94571\n28744 43148\n54616 81927\n10508 15713\n90999 100000\n11009 16481\n1745 2618\n58248 87404\n12123 18156\n98922 100000\n95247 100000\n34144 51273\n16144 24174\n45891 68904\n28742 43145\n31856 47828\n3863 5818\n99307 100000\n28978 43507\n30499 45795\n10455 15633\n21896 32892\n52403 78634\n41704 62627\n43819 65803\n4455 6701\n98762 100000\n7675 11526\n10525 15740\n80243 100000\n25402 38121\n12102 18125\n94317 100000\n13928 20843\n68261 100000\n24010 36048\n12217 18290\n94644 100000\n54029 81076\n88222 100000\n31512 47310\n96597 100000\n99610 100000\n84497 100000\n43969 66031\n94447 100000\n81697 100000\n8431 12635\n65429 98144\n50997 76535\n62954 94436\n76231 100000\n80412 100000\n78712 100000\n98279 100000\n92986 100000\n18155 27240\n4940 7424\n70442 100000\n39559 59373\n57947 86934\n43135 64800\n83553 100000\n94233 100000\n15891 23790\n55794 83705\n30109 45194\n44771 67220\n87532 100000\n1672 2506\n34005 51071\n27269 40915\n18258 27393\n94096 100000\n43369 65145\n74909 100000\n89189 100000\n53573 80391\n56630 84970\n21434 32170\n21800 32739\n80559 100000\n69648 100000\n23830 35769\n18729 28108\n93639 100000\n42480 63810\n21030 31558\n37911 56900\n34401 51653\n71360 100000\n41984 63048\n54685 82024\n93155 100000\n47090 70726\n65607 98413\n6288 9449\n43059 64682\n93403 100000\n6007 9021\n78155 100000\n20991 31499\n51993 78026\n75417 100000\n59431 89186\n46622 70027\n39759 59676\n26500 39758\n21573 32376\n96975 100000\n4296 6465\n61989 92985\n10929 16360\n66756 100000\n36431 54672\n96567 100000\n345 525\n36247 54395\n17615 26423\n34218 51378\n2976 4478\n75481 100000\n88675 100000\n86526 100000\n83982 100000\n23675 35534\n10038 15006\n84579 100000\n7547 11338\n22725 34116\n28557 42873\n75812 100000\n68273 100000\n21099 31664\n8514 12756\n58691 88089\n79102 100000\n13619 20386\n13150 19702\n80280 100000\n7380 11085\n57348 86027\n24129 36228\n96891 100000\n72954 100000\n2113 3164\n78578 100000\n89636 100000\n34579 51912\n16055 24041\n469 710\n49374 74127\n79673 100000\n3065 4608\n39224 58869\n40369 60588\n87683 100000\n52618 78961\n23489 35265\n96260 100000\n41510 62332\n61020 91536\n76971 100000\n96436 100000\n73800 100000\n69351 100000\n81281 100000\n10895 16313\n47517 71366\n327 500\n8879 13292\n9254 13851\n17344 26016\n57116 85692\n71456 100000\n89154 100000\n26436 39664\n16369 24510\n33191 49823\n8092 12134\n81313 100000\n7471 11224\n3856 5806\n43473 65293\n41239 61914\n5447 8195\n59037 88595\n94310 100000\n65436 98156\n64259 96387\n9041 13531\n56347 84539\n11616 17386\n12120 18151\n98021 100000\n97899 100000\n73465 100000\n96962 100000\n75471 100000\n83438 100000\n21541 32327\n40946 61465\n42994 64585\n99450 100000\n122 185\n34876 52364\n99258 100000\n78766 100000\n14904 22309\n59636 89485\n61390 92088\n5247 7883\n68697 100000\n48896 73430\n24949 37460\n49921 74936\n32128 48239\n79619 100000\n23619 35457\n48274 72487\n27685 41551\n68716 100000\n24216 36352\n87553 100000\n40531 60825\n13241 19840\n7359 11053\n76068 100000\n39374 59098\n20031 30048\n75708 100000\n13996 20949\n7386 11095\n64832 97246\n95296 100000\n95745 100000\n53944 80946\n56754 85146\n97484 100000\n94124 100000\n36301 54476\n24813 37255\n21213 31833\n53519 80311\n86475 100000\n7794 11704\n68656 100000\n96169 100000\n68935 100000\n84472 100000\n43120 64779\n91309 100000\n84816 100000\n60328 90511\n91650 100000\n18681 28035\n77851 100000\n52821 79273\n74815 100000\n87463 100000\n82184 100000\n60522 90804\n24289 36454\n24050 36107\n64056 96088\n26237 39361\n97773 100000\n58800 88246\n17049 25555\n53972 80989\n8100 12148\n39413 59153\n63227 94842\n38362 57559\n80440 100000\n94831 100000\n13007 19490\n58204 87336\n66571 99852\n19008 28518\n91532 100000\n90582 100000\n38706 58088\n79122 100000\n54609 81917\n26618 39935\n24844 37302\n25216 37858\n19558 29355\n55030 82541\n58561 87885\n20370 30567\n67470 100000\n74023 100000\n28941 43454\n60755 91145\n4470 6725\n1642 2460\n9865 14755\n8995 13462\n38221 57354\n85476 100000\n82607 100000\n19950 29934\n65516 98275\n3623 5453\n55579 83387\n28210 42355\n88834 100000\n14163 21203\n38978 58499\n26199 39304\n50778 76211\n78528 100000\n10613 15874\n73497 100000\n72443 100000\n69867 100000\n82494 100000\n49463 74264\n17391 26084\n19071 28613\n32089 48179\n35522 53321\n48772 73247\n86045 100000\n79382 100000\n47217 70916\n41455 62247\n24354 36560\n17108 25644\n75716 100000\n94778 100000\n18062 27096\n59600 89433\n85469 100000\n83152 100000\n88454 100000\n69097 100000\n13063 19577\n63437 95150\n93861 100000\n3976 5995\n32914 49414\n92440 100000\n92888 100000\n16855 25258\n40983 61516\n36782 55185\n58698 88099\n72867 100000\n76143 100000\n37990 57020\n64535 96809\n23088 34665\n96391 100000\n11763 17613\n16462 24654\n64185 96276\n62030 93049\n8384 12566\n5261 7908\n76567 100000\n76268 100000\n14031 21004\n5967 8967\n85596 100000\n61373 92064\n97029 100000\n15959 23891\n48461 72776\n80984 100000\n9428 14119\n29131 43739\n96745 100000\n49064 73682\n79340 100000\n9554 14297\n93850 100000\n79960 100000\n4040 6092\n97741 100000\n62290 93450\n5132 7710\n41656 62555\n90509 100000\n86757 100000\n92702 100000\n46989 70566\n29140 43752\n95780 100000\n49939 74959\n69038 100000\n30755 46185\n13186 19759\n4308 6483\n46383 69661\n93823 100000\n53845 80798\n37645 56503\n40505 60783\n61642 92472\n16858 25263\n9293 13913\n76717 100000\n86083 100000\n34475 51757\n53151 79759\n39217 58860\n25560 38344\n19205 28814\n66245 99375\n27625 41459\n68337 100000\n38792 58223\n54211 81344\n23052 34614\n13385 20057\n59380 89108\n62822 94247\n82738 100000\n77564 100000\n41299 62009\n16955 25414\n43649 65553\n28566 42886\n114 173\n19939 29919\n31735 47636\n44905 67429\n82375 100000\n53961 80971\n79554 100000\n83524 100000\n23212 34850\n93080 100000\n18789 28198\n16634 24926\n21337 32023\n62834 94265\n85675 100000\n73444 100000\n37538 56333\n90099 100000\n72006 100000\n89010 100000\n30663 46046\n42437 63746\n32659 49033\n43949 66003\n84445 100000\n36570 54880\n92077 100000\n79503 100000\n86410 100000\n94255 100000\n4143 6239\n8890 13310\n34316 51527\n5231 7857\n95083 100000\n86117 100000\n45234 67921\n86020 100000\n98477 100000\n55411 83128\n48672 73100\n7735 11621\n31751 47664\n17095 25625\n99998 100000\n22993 34521\n7598 11408\n46009 69080\n5083 7637\n22075 33157\n95325 100000\n14283 21379\n71674 100000\n82531 100000\n23283 34954\n26202 39310\n68628 100000\n64293 96443\n29471 44240\n20486 30753\n32923 49428\n62075 93123\n6 8\n56162 84261\n59585 89412\n21095 31657\n2831 4248\n23561 35368\n15915 23825\n57246 85877\n24406 36639\n43250 64970\n58582 87919\n4978 7482\n68136 100000\n10751 16090\n31067 46655\n97736 100000\n52182 78306\n95576 100000\n21441 32179\n72759 100000\n73095 100000\n95495 100000\n71547 100000\n30854 46331\n89827 100000\n60168 90283\n77336 100000\n42644 64049\n39952 59963\n28404 42644\n80228 100000\n75082 100000\n47142 70802\n57109 85681\n19941 29922\n1742 2614\n35387 53121\n82122 100000\n86148 100000\n54397 81613\n93145 100000\n83038 100000\n60623 90952\n50566 75887\n68448 100000\n12144 18188\n2214 3322\n20893 31355\n54126 81218\n46003 69072\n41729 62668\n34320 51534\n82539 100000\n70534 100000\n20326 30501\n28365 42588\n85874 100000\n19283 28928\n42852 64370\n53274 79931\n39145 58750\n60521 90802\n2475 3712\n20390 30599\n17322 25984\n15975 23918\n49633 74519\n67572 100000\n56851 85289\n50767 76191\n13917 20829\n49153 73820\n6122 9199\n46859 70378\n60991 91490\n47976 72051\n11404 17066\n64954 97434\n96757 100000\n69238 100000\n29543 44346\n82747 100000\n87105 100000\n26710 40074\n76986 100000\n45386 68145\n86981 100000\n26625 39945\n78178 100000\n15101 22608\n87168 100000\n60274 90430\n80960 100000\n6665 10009\n57129 85710\n67396 100000\n13525 20259\n248 377\n69886 100000\n55850 83786\n90811 100000\n96376 100000\n51824 77777\n25084 37658\n6971 10464\n45658 68549\n17759 26649\n14454 21635\n42357 63618\n1653 2475\n7995 11994\n1086 1618\n95110 100000\n93153 100000\n25373 38077\n85669 100000\n89007 100000\n3272 4918\n89139 100000\n26381 39584\n23350 35055\n46582 69970\n72675 100000\n76939 100000\n22063 33140\n92706 100000\n79796 100000\n75628 100000\n58340 87547\n98503 100000\n12171 18226\n63087 94637\n91139 100000\n1156 1721\n50008 75061\n37739 56639\n36761 55154\n38842 58293\n5436 8177\n66007 99017\n99551 100000\n71160 100000\n56874 85320\n28319 42519\n64646 96969\n83453 100000\n6587 9891\n31118 46731\n95011 100000\n38970 58486\n51221 76862\n87213 100000\n68091 100000\n92534 100000\n76895 100000\n34131 51254\n21323 32002\n77934 100000\n83149 100000\n67006 100000\n88814 100000\n16164 24202\n94950 100000\n35020 52578\n5348 8035\n20259 30400\n94059 100000\n3897 5869\n53382 80090\n39180 58802\n91569 100000\n5553 8354\n55968 83963\n75482 100000\n73491 100000\n54113 81198\n1374 2049\n63052 94581\n29145 43760\n93351 100000\n90446 100000\n80276 100000\n20850 31289\n33699 50591\n1497 2241\n78989 100000\n99051 100000\n31623 47479\n12360 18512\n6967 10456\n83432 100000\n37791 56718\n3634 5471\n34770 52203\n29249 43915\n78031 100000\n96963 100000\n18753 28143\n16052 24037\n29114 43712\n32719 49119\n82652 100000\n93058 100000\n5548 8348\n62503 93772\n67649 100000\n58416 87662\n85801 100000\n58928 88436\n1188 1769\n81820 100000\n18910 28369\n29678 44547\n8670 12985\n59887 89861\n97246 100000\n53909 80895\n31613 47463\n6515 9785\n25509 38274\n33516 50316\n95571 100000\n1133 1686\n89667 100000\n57599 86407\n65704 98560\n77299 100000\n71941 100000\n26042 39063\n98607 100000\n19044 28568\n88047 100000\n25078 37648\n94183 100000\n94057 100000\n77910 100000\n72043 100000\n72775 100000\n38902 58381\n98972 100000\n8222 12335\n80346 100000\n12748 19096\n29918 44904\n18229 27349\n50416 75664\n11902 17831\n98755 100000\n25635 38457\n73900 100000\n83807 100000\n89745 100000\n19747 29630\n28520 42820\n22396 33627\n83887 100000\n37330 56020\n69578 100000\n56050 84090\n41558 62406\n48987 73569\n72819 100000\n26940 40420\n15174 22718\n84956 100000\n71753 100000\n62177 93278\n23735 35624\n65396 98092\n74352 100000\n68707 100000\n15791 23643\n53710 80593\n57558 86346\n71081 100000\n62168 93265\n87635 100000\n22496 33780\n53757 80668\n23250 34906\n51486 77258\n16153 24185\n34801 52251\n21971 33005\n96122 100000\n62501 93769\n35453 53222\n62817 94240\n85858 100000\n38592 57912\n77709 100000\n36322 54510\n36075 54145\n83969 100000\n16563 24816\n1922 2882\n23529 35327\n389 590\n64595 96897\n2896 4351\n82641 100000\n85756 100000\n25710 38563\n25784 38677\n8391 12577\n61084 91630\n42691 64128\n46823 70326\n86910 100000\n45708 68627\n36229 54363\n90159 100000\n4481 6740\n61004 91511\n41341 62074\n69459 100000\n55732 83612\n89128 100000\n55248 82880\n82687 100000\n92441 100000\n59550 89359\n51990 78022\n15887 23785\n93956 100000\n41772 62734\n61393 92093\n12009 17994\n59007 88551\n46181 69340\n84275 100000\n59087 88665\n52091 78178\n75502 100000\n48435 72736\n29139 43750\n99194 100000\n11942 17896\n18976 28472\n27028 40549\n12461 18668\n7320 10995\n29780 44693\n74575 100000\n56107 84176\n28289 42477\n94804 100000\n15371 23020\n93123 100000\n40488 60762\n10694 16002\n22295 33488\n64574 96863\n80542 100000\n9911 14822\n16862 25269\n7721 11596\n55209 82824\n98872 100000\n56972 85474\n83534 100000\n57906 86873\n25551 38332\n6500 9763\n82416 100000\n58071 87124\n76378 100000\n46820 70321\n74234 100000\n88452 100000\n86351 100000\n5113 7681\n83103 100000\n91256 100000\n67094 100000\n41379 62133\n6990 10492\n13230 19822\n82799 100000\n75666 100000\n10402 15550\n18603 27920\n54917 82374\n84857 100000\n33721 50625\n3720 5598\n5757 8657\n42835 64346\n28462 42734\n14672 21961\n52359 78566\n62924 94395\n54702 82050\n38772 58191\n75637 100000\n68755 100000\n44415 66705\n57037 85582\n23678 35538\n77799 100000\n31705 47587\n74839 100000\n81095 100000\n35931 53931\n80531 100000\n70676 100000\n2337 3509\n20324 30498\n11777 17633\n25859 38785\n78670 100000\n14988 22439\n32909 49405\n5541 8337\n35561 53380\n76856 100000\n96262 100000\n43711 65647\n69050 100000\n77448 100000\n57850 86788\n81883 100000\n8305 12454\n29830 44769\n86540 100000\n21857 32829\n82094 100000\n88285 100000\n62074 93121\n15082 22579\n24058 36119\n42481 63811\n39235 58886\n43551 65404\n90185 100000\n50069 75148\n66140 99217\n47297 71038\n51101 76691\n82433 100000\n24677 37057\n31389 47128\n1493 2236\n63757 95628\n19875 29823\n35362 53087\n50480 75757\n28772 43191\n4173 6281\n56105 84172\n74364 100000\n14420 21582\n53056 79616\n20608 30941\n19913 29879\n2485 3728\n97092 100000\n21014 31533\n98387 100000\n32510 48809\n44895 67414\n20762 31156\n71124 100000\n38760 58171\n48650 73068\n83849 100000\n72211 100000\n43857 65863\n62747 94135\n72785 100000\n55368 83058\n94629 100000\n23057 34620\n33140 49749\n61915 92875\n63990 95983\n64065 96100\n55594 83407\n44072 66186\n46076 69179\n28615 42964\n73043 100000\n85599 100000\n98715 100000\n8560 12824\n89078 100000\n85660 100000\n92175 100000\n47867 71890\n80673 100000\n88444 100000\n44726 67151\n72089 100000\n65292 97941\n17515 26272\n66234 99361\n98595 100000\n59013 88559\n61957 92938\n68954 100000\n1899 2847\n84812 100000\n23083 34658\n80044 100000\n89498 100000\n80596 100000\n53355 80050\n56866 85309\n53040 79593\n20175 30269\n97566 100000\n87327 100000\n7475 11231\n64170 96255\n30075 45143\n17849 26782\n90753 100000\n14321 21435\n40248 60399\n86309 100000\n78720 100000\n47211 70907\n30740 46159\n9757 14592\n96637 100000\n56569 84875\n4329 6516\n88753 100000\n92141 100000\n60605 90927\n83472 100000\n64605 96909\n58711 88119\n40860 61339\n81122 100000\n3427 5162\n394 596\n29615 44454\n55925 83898\n99322 100000\n31414 47169\n28362 42583\n2564 3847\n34951 52474\n74479 100000\n89471 100000\n83697 100000\n68916 100000\n43401 65189\n51158 76770\n55054 82578\n44483 66799\n90647 100000\n24477 36752\n245 372\n27612 41436\n42406 63698\n48845 73352\n55228 82853\n23551 35355\n67653 100000\n59539 89344\n15575 23329\n22924 34418\n96684 100000\n71726 100000\n38533 57824\n96989 100000\n78570 100000\n39832 59782\n36246 54393\n30671 46058\n1119 1665\n13774 20612\n41323 62044\n75771 100000\n90528 100000\n51201 76837\n92231 100000\n51976 78002\n28339 42547\n97328 100000\n70218 100000\n55083 82628\n51949 77959\n41417 62192\n27614 41439\n59414 89161\n5993 9004\n67565 100000\n14037 21011\n3656 5503\n93338 100000\n69041 100000\n42196 63362\n96632 100000\n29529 44326\n96183 100000\n29767 44674\n4474 6730\n7306 10971\n38750 58157\n63255 94882\n62266 93414\n40850 61323\n61352 92035\n70956 100000\n82361 100000\n92439 100000\n55896 83856\n98754 100000\n69424 100000\n70108 100000\n42531 63883\n79462 100000\n76639 100000\n11283 16890\n60455 90705\n70951 100000\n27414 41133\n75805 100000\n14548 21776\n76209 100000\n2716 4081\n10450 15626\n42827 64336\n77378 100000\n4900 7366\n27448 41190\n38403 57623\n65863 98804\n29879 44848\n26965 40458\n63196 94796\n47024 70624\n3146 4728\n5130 7707\n53685 80555\n12230 18311\n64423 96643\n89949 100000\n18585 27894\n62352 93541\n30416 45667\n91190 100000\n6522 9796\n52982 79507\n68029 100000\n24930 37433\n12572 18838\n22829 34272\n22262 33442\n55154 82744\n30443 45709\n93219 100000\n63256 94883\n50038 75102\n16107 24122\n80647 100000\n24049 36105\n3346 5033\n94051 100000\n10468 15652\n64118 96176\n66139 99216\n1929 2893\n27190 40797\n78219 100000\n49766 74710\n95953 100000\n76356 100000\n60309 90483\n83910 100000\n28737 43139\n48314 72550\n52221 78363\n7345 11030\n18745 28131\n95161 100000\n24885 37361\n98287 100000\n903 1361\n6940 10421\n86771 100000\n46073 69175\n268 405\n73824 100000\n67586 100000\n57273 85914\n66560 99836\n22068 33147\n12877 19296\n60477 90736\n67720 100000\n73183 100000\n59362 89081\n51113 76707\n95604 100000\n91736 100000\n51707 77600\n81079 100000\n71018 100000\n50224 75379\n12913 19351\n18829 28253\n7556 11351\n30947 46470\n83546 100000\n69541 100000\n99433 100000\n17913 26884\n89653 100000\n23696 35565\n2082 3120\n38495 57763\n1058 1580\n9355 14007\n87566 100000\n74103 100000\n95617 100000\n97818 100000\n3558 5355\n29558 44369\n27359 41052\n54438 81670\n47526 71379\n67972 100000\n46436 69746\n47910 71956\n77367 100000\n42412 63707\n22071 33152\n86921 100000\n85391 100000\n54684 82022\n38673 58034\n52738 79143\n29251 43919\n77083 100000\n66681 100000\n12999 19478\n27519 41304\n45510 68333\n34699 52095\n98030 100000\n25131 37728\n37803 56738\n48863 73379\n54452 81694\n86663 100000\n8457 12675\n57212 85832\n54638 81957\n76756 100000\n137 210\n30481 45768\n16617 24905\n76279 100000\n28475 42750\n65228 97835\n26654 39985\n495 746\n97277 100000\n8029 12044\n75117 100000\n53763 80677\n60810 91223\n74224 100000\n96710 100000\n7074 10621\n14639 21911\n18455 27697\n62172 93271\n36166 54276\n81550 100000\n68615 100000\n85487 100000\n53177 79795\n11919 17858\n72317 100000\n418 636\n81427 100000\n82493 100000\n90123 100000\n67761 100000\n17970 26961\n71893 100000\n54207 81337\n63535 95298\n23716 35599\n51190 76819\n87199 100000\n31262 46937\n18566 27864\n20013 30019\n67903 100000\n2757 4142\n43584 65460\n81620 100000\n28014 42052\n85707 100000\n63414 95116\n12544 18797\n57495 86254\n14876 22267\n68103 100000\n19864 29808\n68974 100000\n96648 100000\n37582 56408\n92353 100000\n91296 100000\n65847 98777\n26740 40119\n89445 100000\n73923 100000\n18763 28157\n12032 18030\n54396 81612\n21833 32790\n99030 100000\n80968 100000\n57154 85744\n17986 26984\n65031 97543\n90180 100000\n98999 100000\n10035 15002\n49320 74055\n52068 78143\n31353 47076\n68430 100000\n39550 59358\n43109 64760\n56730 85115\n36288 54457\n53847 80801\n80504 100000\n92677 100000\n23632 35476\n50709 76095\n44329 66577\n111 169\n4168 6273\n44331 66580\n34391 51638\n6251 9387\n7186 10790\n60466 90718\n66084 99130\n55272 82916\n66329 99495\n49977 75015\n39859 59824\n77404 100000\n218 330\n85935 100000\n77890 100000\n32127 48238\n58362 87583\n30122 45217\n30369 45591\n51369 77084\n58981 88510\n79091 100000\n60692 91052\n32627 48987\n5290 7954\n25371 38073\n52957 79473\n84702 100000\n6730 10105\n81216 100000\n64978 97469\n98899 100000\n62487 93749\n63749 95614\n17592 26387\n21093 31655\n17593 26389\n92927 100000\n60878 91326\n24221 36358\n8348 12514\n23491 35268\n69231 100000\n28652 43018\n86809 100000\n66708 100000\n4192 6311\n42182 63342\n2063 3088\n45262 67962\n43475 65296\n64074 96114\n31237 46900\n70601 100000\n38640 57980\n98904 100000\n47846 71858\n66307 99461\n1872 2810\n10349 15471\n4697 7062\n35655 53521\n9427 14117\n34610 51956\n3848 5793\n68299 100000\n39255 58916\n13692 20492\n18704 28070\n96150 100000\n84671 100000\n32585 48917\n87073 100000\n88902 100000\n81839 100000\n18533 27816\n78846 100000\n82498 100000\n38473 57728\n85915 100000\n63536 95300\n2576 3865\n45925 68956\n26749 40132\n43701 65632\n94620 100000\n10576 15818\n65120 97678\n52184 78308\n29178 43809\n4206 6329\n98559 100000\n58422 87673\n32234 48395\n68494 100000\n15406 23072\n52930 79434\n73614 100000\n88218 100000\n96853 100000\n81712 100000\n29567 44383\n43609 65493\n68987 100000\n28886 43367\n62972 94464\n23444 35195\n59043 88602\n7566 11362\n69480 100000\n41950 62997\n51774 77700\n4615 6941\n25987 38976\n59965 89978\n41993 63061\n36394 54618\n10330 15445\n8847 13243\n70920 100000\n15321 22942\n39068 58631\n96459 100000\n74809 100000\n99832 100000\n35782 53707\n18479 27730\n57571 86366\n71002 100000\n53775 80696\n47896 71938\n17620 26431\n2951 4440\n24078 36149\n7253 10892\n8419 12618\n49136 73792\n47416 71215\n50814 76261\n4733 7117\n28914 43411\n55001 82499\n96010 100000\n50012 75065\n37787 56711\n54026 81072\n84210 100000\n15231 22804\n58094 87162\n44140 66292\n1675 2509\n32433 48696\n282 424\n81280 100000\n56260 84404\n85800 100000\n16780 25139\n29958 44966\n8566 12833\n86937 100000\n59689 89570\n55144 82726\n52774 79204\n18047 27075\n77192 100000\n51166 76782\n9166 13722\n81650 100000\n94444 100000\n17623 26437\n82 126\n80194 100000\n21494 32258\n89574 100000\n25568 38358\n12134 18175\n97412 100000\n58101 87173\n62297 93458\n60748 91134\n42100 63220\n89055 100000\n15738 23561\n99421 100000\n8966 13421\n32878 49360\n47225 70927\n38733 58128\n64374 96562\n48 70\n78214 100000\n94404 100000\n87095 100000\n14733 22052\n67592 100000\n79032 100000\n11619 17390\n39902 59894\n24144 36249\n47284 71018\n79317 100000\n9541 14281\n65306 97964\n91827 100000\n95163 100000\n15022 22491\n91525 100000\n64712 97071\n3054 4590\n3622 5452\n46887 70418\n16607 24889\n48685 73120\n49790 74748\n27281 40932\n19139 28717\n69489 100000\n70221 100000\n54506 81770\n20067 30103\n51925 77921\n92306 100000\n26820 40242\n43032 64643\n75599 100000\n47417 71216\n9349 13998\n43844 65843\n64394 96592\n6737 10115\n39799 59731\n63723 95578\n10446 15619\n26296 39454\n44760 67202\n9909 14820\n79325 100000\n43111 64764\n28222 42374\n88331 100000\n71293 100000\n90735 100000\n35374 53104\n86703 100000\n5546 8344\n18540 27827\n17730 26602\n69746 100000\n66031 99050\n91137 100000\n64410 96621\n11527 17252\n86185 100000\n90436 100000\n99391 100000\n37812 56751\n21194 31806\n6379 9581\n59918 89909\n71345 100000\n58649 88025\n65162 97742\n94921 100000\n95635 100000\n99617 100000\n78359 100000\n49521 74354\n18941 28416\n31946 47962\n36280 54445\n74542 100000\n5440 8183\n42079 63190\n6380 9582\n36152 54255\n43418 65218\n74056 100000\n56692 85058\n96035 100000\n71352 100000\n85337 100000\n16214 24279\n58930 88440\n65369 98056\n5645 8493\n34193 51342\n2909 4372\n19285 28931\n92438 100000\n30902 46405\n90899 100000\n2573 3860\n20662 31013\n68931 100000\n27094 40656\n1928 2891\n43821 65806\n19271 28910\n50101 75195\n22360 33576\n99585 100000\n80937 100000\n5414 8138\n38605 57933\n58941 88453\n68831 100000\n95039 100000\n24245 36390\n88584 100000\n99151 100000\n94626 100000\n85198 100000\n79198 100000\n94593 100000\n29500 44280\n58253 87414\n39824 59770\n7620 11444\n87947 100000\n81140 100000\n94757 100000\n2999 4513\n3948 5950\n60402 90629\n92912 100000\n35003 52550\n78786 100000\n2494 3740\n31011 46569\n99738 100000\n92839 100000\n2918 4388\n83129 100000\n85264 100000\n78773 100000\n57477 86221\n46469 69793\n33308 50002\n66209 99323\n98394 100000\n89500 100000\n14625 21889\n42310 63541\n79793 100000\n13763 20597\n24908 37399\n41125 61742\n60894 91353\n84164 100000\n30335 45540\n94965 100000\n67839 100000\n36558 54863\n30706 46110\n61487 92243\n12609 18894\n89935 100000\n18177 27272\n66488 99734\n21524 32304\n84818 100000\n44591 66958\n92176 100000\n77325 100000\n98544 100000\n52282 78451\n112 170\n14665 21950\n42012 63091\n40934 61448\n89301 100000\n42809 64311\n7704 11573\n45384 68141\n87488 100000\n7998 11999\n87229 100000\n1083 1614\n18902 28355\n68962 100000\n63002 94509\n98236 100000\n40344 60548\n14024 20994\n1477 2213\n60597 90913\n84500 100000\n20525 30814\n27692 41563\n16096 24104\n28607 42951\n90594 100000\n3721 5600\n26180 39274\n93114 100000\n64653 96980\n25901 38842\n68624 100000\n82977 100000\n78536 100000\n93393 100000\n31303 46996\n22318 33518\n48230 72418\n16131 24157\n72289 100000\n99593 100000\n84763 100000\n49576 74434\n95398 100000\n31042 46617\n12642 18945\n69007 100000\n86818 100000\n83093 100000\n17221 25828\n61328 92000\n18354 27538\n10234 15302\n73343 100000\n18056 27087\n87704 100000\n76666 100000\n42963 64542\n29943 44941\n29237 43899\n12945 19397\n49951 74975\n32034 48098\n12399 18574\n69721 100000\n64403 96609\n55099 82655\n97568 100000\n86856 100000\n1359 2025\n60305 90477\n34451 51724\n38095 57171\n2825 4239\n97543 100000\n31993 48034\n48184 72358\n20822 31247\n25740 38612\n47931 71987\n92896 100000\n99897 100000\n21116 31692\n79257 100000\n53938 80940\n23237 34887\n70880 100000\n45069 67683\n91317 100000\n2488 3731\n5955 8949\n73458 100000\n18844 28278\n33671 50545\n24407 36640\n49665 74564\n42135 63275\n10199 15247\n21579 32388\n66613 99911\n95764 100000\n52566 78882\n95341 100000\n14814 22177\n6366 9559\n78458 100000\n18574 27876\n96279 100000\n27301 40966\n63551 95324\n12278 18384\n27492 41260\n75064 100000\n68488 100000\n16220 24287\n10426 15590\n95321 100000\n7530 11312\n66621 99921\n12997 19474\n87863 100000\n5669 8528\n79237 100000\n31741 47647\n18381 27582\n30456 45727\n87139 100000\n47493 71333\n22482 33761\n64037 96059\n14891 22291\n6217 9337\n40879 61367\n83122 100000\n47149 70815\n6234 9362\n55626 83458\n35184 52818\n10427 15591\n92177 100000\n86624 100000\n15946 23871\n14925 22339\n15241 22819\n65392 98087\n78102 100000\n39896 59886\n78623 100000\n34831 52298\n62054 93090\n4802 7216\n33971 51017\n1948 2918\n66037 99060\n83614 100000\n47341 71102\n29206 43853\n52406 78639\n93932 100000\n63397 95091\n81985 100000\n32421 48679\n94189 100000\n66453 99682\n63563 95342\n60099 90180\n61560 92352\n705 1066\n49964 74993\n81187 100000\n94090 100000\n630 952\n63199 94799\n78862 100000\n60517 90797\n49806 74773\n97458 100000\n20173 30266\n89394 100000\n93310 100000\n88738 100000\n87659 100000\n68878 100000\n33160 49779\n32970 49494\n10058 15036\n51436 77184\n81783 100000\n65821 98732\n11970 17939\n36104 54187\n93727 100000\n39447 59204\n7083 10634\n45306 68024\n70368 100000\n7312 10982\n43421 65223\n73339 100000\n77788 100000\n64917 97376\n32182 48313\n8098 12145\n96000 100000\n41142 61768\n77550 100000\n42573 63944\n47791 71774\n39897 59888\n74472 100000\n39595 59431\n73509 100000\n16678 24991\n69837 100000\n23806 35732\n89989 100000\n13945 20872\n56337 84522\n41056 61629\n45014 67601\n3880 5843\n41046 61616\n73624 100000\n78573 100000\n47750 71713\n44027 66119\n12651 18958\n73055 100000\n22760 34167\n99045 100000\n51583 77409\n29534 44334\n98346 100000\n88277 100000\n7229 10860\n88901 100000\n59454 89219\n9945 14873\n32375 48609\n80383 100000\n30508 45810\n57488 86242\n90295 100000\n47524 71376\n59717 89611\n42590 63969\n31454 47229\n16580 24846\n26756 40143\n80985 100000\n4389 6612\n62702 94072\n64283 96428\n90014 100000\n99403 100000\n90454 100000\n95185 100000\n89254 100000\n6909 10376\n75238 100000\n60365 90570\n30929 46444\n25540 38316\n72324 100000\n861 1297\n9859 14746\n83333 100000\n4985 7491\n5504 8280\n57346 86024\n19353 29035\n94780 100000\n80515 100000\n31137 46758\n35053 52624\n92494 100000\n24210 36344\n88418 100000\n57589 86391\n67674 100000\n80775 100000\n33420 50164\n35802 53739\n83450 100000\n94970 100000\n43753 65708\n68064 100000\n50844 76308\n95714 100000\n83913 100000\n53749 80656\n28823 43271\n44312 66552\n9286 13902\n90908 100000\n36276 54439\n4753 7149\n40673 61048\n71243 100000\n86102 100000\n78027 100000\n66735 100000\n28826 43275\n88506 100000\n79772 100000\n25243 37900\n30133 45234\n54500 81763\n21571 32373\n22554 33870\n89610 100000\n62545 93840\n51810 77757\n47984 72064\n73885 100000\n2006 3006\n90967 100000\n33710 50605\n96718 100000\n49589 74453\n81249 100000\n8417 12616\n65179 97766\n60298 90466\n51522 77314\n16969 25436\n77034 100000\n15531 23262\n35005 52554\n67144 100000\n88841 100000\n44261 66474\n84006 100000\n34503 51798\n32265 48446\n36613 54945\n31402 47148\n17760 26650\n71889 100000\n92173 100000\n42742 64206\n92844 100000\n1644 2463\n35168 52796\n97754 100000\n24618 36966\n45109 67736\n76133 100000\n72983 100000\n48432 72730\n48518 72867\n5037 7568\n63762 95635\n19626 29454\n3496 5264\n18656 27997\n91122 100000\n60851 91287\n26539 39817\n27026 40547\n55556 83353\n82602 100000\n73107 100000\n39793 59722\n13134 19677\n9551 14293\n87465 100000\n68014 100000\n42298 63519\n47562 71433\n370 560\n31886 47874\n65144 97715\n23467 35231\n68373 100000\n93071 100000\n76532 100000\n24599 36937\n55907 83871\n35681 53557\n99347 100000\n25472 38218\n76886 100000\n49577 74435\n21139 31723\n98262 100000\n36388 54608\n55375 83069\n67358 100000\n36688 55049\n34099 51216\n43371 65149\n81461 100000\n96066 100000\n94640 100000\n41100 61700\n39189 58815\n59064 88631\n32169 48297\n9234 13825\n13481 20191\n54166 81275\n57949 86937\n21451 32194\n90517 100000\n59085 88663\n62612 93937\n69638 100000\n5292 7957\n39932 59935\n71822 100000\n36376 54590\n67050 100000\n4675 7030\n18737 28121\n51260 76924\n68409 100000\n91160 100000\n25655 38488\n42824 64333\n95597 100000\n38857 58314\n76066 100000\n87747 100000\n13149 19700\n14450 21630\n64790 97184\n44485 66803\n2126 3185\n1568 2345\n9482 14198\n72652 100000\n94082 100000\n9621 14390\n30757 46187\n84901 100000\n54686 82025\n27748 41645\n27956 41966\n28636 42995\n92612 100000\n14272 21365\n41895 62918\n77396 100000\n90761 100000\n56308 84477\n72965 100000\n74214 100000\n78253 100000\n29790 44709\n23960 35965\n25207 37843\n32088 48178\n68290 100000\n88015 100000\n4816 7233\n35598 53440\n35987 54012\n35417 53167\n49397 74164\n44390 66669\n23437 35184\n75830 100000\n56721 85102\n31231 46892\n17733 26606\n97338 100000\n79374 100000\n31245 46911\n28778 43200\n56615 84946\n18079 27123\n36097 54177\n26292 39449\n22994 34523\n48877 73399\n49789 74746\n98058 100000\n20111 30171\n94480 100000\n98648 100000\n40654 61015\n41240 61915\n24459 36722\n5667 8525\n80671 100000\n67925 100000\n62423 93649\n53728 80621\n13425 20114\n66934 100000\n5832 8768\n47620 71522\n59164 88780\n20695 31061\n48281 72500\n49638 74525\n3452 5202\n30881 46370\n87666 100000\n53735 80633\n2587 3881\n5890 8857\n9164 13719\n34521 51825\n6386 9590\n63907 95853\n46207 69381\n76349 100000\n13566 20316\n33375 50101\n73004 100000\n88667 100000\n74738 100000\n66172 99266\n93998 100000\n64828 97240\n6708 10071\n72147 100000\n86368 100000\n38650 57998\n10115 15125\n67508 100000\n37209 55836\n38856 58313\n19023 28537\n48150 72307\n17189 25780\n22696 34075\n29300 43984\n80465 100000\n33345 50057\n10014 14971\n22032 33093\n80541 100000\n66065 99102\n97883 100000\n41121 61736\n29565 44380\n73939 100000\n25431 38162\n43389 65174\n94348 100000\n38771 58189\n51095 76682\n38414 57640\n82196 100000\n82766 100000\n7840 11772\n34181 51326\n34222 51385\n53620 80461\n59566 89383\n53028 79576\n31415 47170\n51895 77879\n12103 18127\n54669 82000\n89502 100000\n92746 100000\n42736 64197\n18265 27403\n86267 100000\n86486 100000\n92457 100000\n85304 100000\n51923 77918\n57057 85610\n19946 29929\n59357 89073\n91324 100000\n9162 13716\n78276 100000\n39513 59304\n45704 68621\n36089 54162\n7643 11481\n77363 100000\n82011 100000\n73789 100000\n87183 100000\n31556 47375\n79529 100000\n12550 18806\n26051 39077\n16074 24071\n47300 71044\n38530 57818\n11848 17745\n96113 100000\n96412 100000\n32202 48347\n22819 34257\n66717 100000\n65758 98640\n93963 100000\n1684 2523\n59565 89381\n4004 6039\n13584 20341\n70694 100000\n99544 100000\n53713 80598\n84002 100000\n87517 100000\n29963 44975\n95589 100000\n96601 100000\n22770 34182\n7845 11780\n83684 100000\n73606 100000\n84290 100000\n62146 93232\n89772 100000\n33930 50953\n45515 68343\n76788 100000\n9359 14012\n91680 100000\n91984 100000\n69969 100000\n50582 75910\n1428 2135\n66363 99548\n47690 71629\n61872 92812\n21514 32288\n14807 22165\n92770 100000\n25396 38112\n88366 100000\n78464 100000\n13381 20053\n58475 87759\n71336 100000\n75840 100000\n42158 63312\n36404 54631\n98930 100000\n27514 41296\n96510 100000\n21300 31967\n45786 68741\n90825 100000\n91857 100000\n83829 100000\n85119 100000\n9990 14935\n58276 87449\n61654 92488\n10116 15126\n75428 100000\n5344 8030\n57020 85555\n85138 100000\n4417 6646\n14607 21863\n4443 6686\n68720 100000\n25683 38525\n19818 29743\n83591 100000\n16088 24093\n82719 100000\n38206 57331\n40089 60163\n21535 32319\n91236 100000\n76452 100000\n18332 27504\n38270 57425\n63616 95418\n85498 100000\n59646 89503\n34636 51997\n65001 97502\n26713 40080\n40995 61536\n58940 88452\n88583 100000\n82972 100000\n21394 32109\n76668 100000\n26685 40035\n83933 100000\n15729 23549\n16188 24238\n67591 100000\n95606 100000\n3168 4762\n53281 79941\n29825 44760\n10927 16356\n14775 22114\n93538 100000\n50089 75177\n37131 55716\n73632 100000\n15003 22463\n58574 87908\n12756 19110\n70105 100000\n79657 100000\n97271 100000\n63201 94803\n78693 100000\n6431 9659\n8631 12926\n97925 100000\n72889 100000\n84593 100000\n53167 79780\n69871 100000\n59805 89746\n10530 15747\n84786 100000\n33807 50762\n29858 44814\n86854 100000\n23668 35524\n19583 29392\n60934 91410\n78403 100000\n73611 100000\n73330 100000\n59287 88967\n88998 100000\n4849 7283\n28237 42395\n14916 22325\n23269 34933\n72564 100000\n96767 100000\n94862 100000\n28243 42404\n84258 100000\n12549 18804\n20889 31350\n39928 59930\n36592 54915\n53343 80035\n41675 62581\n10713 16032\n87191 100000\n81632 100000\n94138 100000\n68137 100000\n26264 39401\n3417 5148\n42185 63347\n50441 75701\n13250 19853\n4403 6627\n4529 6812\n57684 86533\n90591 100000\n36050 54108\n2998 4511\n36648 54994\n18129 27196\n66141 99219\n14835 22208\n43101 64746\n29672 44536\n60277 90435\n17363 26046\n57384 86082\n19703 29567\n57775 86671\n40984 61518\n55834 83760\n30742 46162\n46167 69319\n21994 33036\n81232 100000\n46279 69494\n54981 82473\n96822 100000\n83063 100000\n17078 25601\n3217 4840\n82910 100000\n6993 10497\n78469 100000\n29571 44389\n1884 2826\n62156 93248\n22931 34427\n21055 31598\n51082 76661\n1001 1499\n58097 87168\n73419 100000\n61444 92173\n47324 71076\n70247 100000\n4851 7285\n24529 36834\n3528 5312\n95146 100000\n6472 9720\n67353 100000\n99223 100000\n59885 89858\n81483 100000\n92434 100000\n84548 100000\n42431 63738\n22858 34313\n64219 96326\n62517 93791\n52530 78829\n93425 100000\n92071 100000\n5054 7593\n64159 96239\n31437 47203\n4086 6159\n76324 100000\n19414 29133\n88298 100000\n82333 100000\n94034 100000\n93483 100000\n63147 94727\n35680 53556\n18428 27652\n4047 6104\n46881 70411\n8445 12656\n3269 4914\n4027 6074\n92824 100000\n64237 96353\n28888 43370\n80895 100000\n31319 47022\n20937 31421\n30547 45868\n99383 100000\n78283 100000\n49880 74883\n30754 46183\n33550 50369\n97787 100000\n86120 100000\n35993 54020\n44994 67571\n19858 29797\n16732 25067\n6741 10121\n75019 100000\n98524 100000\n9700 14507\n59656 89519\n42160 63315\n63966 95949\n40503 60781\n44679 67084\n30434 45695\n64361 96543\n56818 85240\n39831 59780\n15740 23564\n86871 100000\n16598 24873\n71440 100000\n25480 38233\n46271 69481\n11784 17645\n62395 93608\n3268 4913\n61902 92857\n57588 86390\n26643 39969\n9279 13891\n38432 57668\n40645 61001\n32892 49380\n36148 54250\n60251 90402\n97591 100000\n54493 81754\n32159 48283\n26846 40283\n17033 25531\n47291 71030\n75125 100000\n42744 64210\n33798 50746\n64278 96419\n65975 98971\n17231 25841\n9505 14230\n13631 20403\n72275 100000\n47959 72026\n75405 100000\n47747 71710\n62701 94071\n32420 48678\n77504 100000\n99059 100000\n94440 100000\n77157 100000\n86839 100000\n7848 11784\n3012 4529\n28630 42985\n58844 88311\n47862 71881\n52106 78200\n19051 28578\n20046 30072\n98070 100000\n5648 8498\n86752 100000\n68470 100000\n10961 16407\n43500 65333\n20977 31477\n84361 100000\n99028 100000\n20586 30906\n20172 30264\n31364 47091\n64124 96185\n96627 100000\n29998 45026\n3685 5547\n72528 100000\n13077 19595\n7644 11482\n8850 13248\n77355 100000\n93973 100000\n62284 93442\n23151 34760\n37328 56017\n79755 100000\n41128 61747\n19240 28864\n34522 51827\n44601 66973\n93806 100000\n42788 64278\n82619 100000\n56957 85451\n95844 100000\n16984 25461\n90704 100000\n18149 27229\n22419 33661\n93203 100000\n49815 74785\n61354 92038\n86277 100000\n53155 79764\n7677 11529\n38267 57420\n77518 100000\n67394 100000\n58737 88155\n69469 100000\n55833 83759\n29931 44922\n81676 100000\n91162 100000\n8848 13244\n51699 77589\n55080 82622\n34354 51581\n37136 55723\n84439 100000\n13458 20158\n69138 100000\n43194 64885\n98421 100000\n44851 67347\n59229 88878\n47874 71900\n42315 63550\n75266 100000\n49993 75039\n88893 100000\n27172 40769\n16785 25148\n12348 18494\n70708 100000\n70903 100000\n23453 35210\n47967 72039\n87393 100000\n55053 82576\n90351 100000\n37423 56160\n84624 100000\n47264 70988\n82285 100000\n95568 100000\n6536 9818\n90335 100000\n45487 68301\n26747 40129\n47106 70748\n69812 100000\n91408 100000\n56372 84575\n55755 83646\n50739 76148\n40791 61228\n71475 100000\n23221 34863\n18254 27388\n28466 42738\n73485 100000\n90288 100000\n92923 100000\n42923 64476\n5999 9012\n23034 34586\n55191 82799\n86810 100000\n58134 87228\n28146 42256\n48093 72224\n20969 31468\n50150 75271\n45694 68606\n24339 36536\n93162 100000\n58654 88034\n42049 63145\n4495 6761\n47192 70881\n21912 32916\n86553 100000\n28813 43254\n91511 100000\n29736 44632\n29746 44649\n7942 11915\n93737 100000\n18309 27472\n29847 44797\n67232 100000\n28508 42800\n68347 100000\n846 1275\n81836 100000\n78919 100000\n48411 72701\n25493 38249\n2924 4400\n46532 69891\n17675 26518\n82032 100000\n35979 53999\n97352 100000\n30007 45043\n57666 86508\n36758 55151\n55774 83675\n81684 100000\n79478 100000\n32629 48990\n73022 100000\n81225 100000\n13550 20295\n28974 43502\n8316 12471\n95458 100000\n73889 100000\n3894 5865\n1157 1723\n62201 93314\n31435 47199\n8580 12854\n18116 27180\n48673 73102\n28908 43403\n49607 74481\n89918 100000\n17639 26462\n75111 100000\n67770 100000\n41413 62185\n13922 20836\n45400 68165\n48586 72970\n58389 87623\n3936 5932\n38569 57880\n84247 100000\n73098 100000\n52856 79324\n70783 100000\n97778 100000\n72865 100000\n16860 25266\n63867 95792\n26532 39806\n46421 69721\n56330 84513\n58647 88022\n90533 100000\n70373 100000\n6316 9486\n18335 27509\n38965 58478\n5946 8935\n41020 61575\n25723 38582\n69042 100000\n71252 100000\n90388 100000\n91371 100000\n24735 37136\n21768 32686\n13306 19938\n56256 84397\n84751 100000\n24799 37233\n50594 75925\n41914 62945\n38118 57209\n39442 59197\n74211 100000\n11172 16722\n30638 46009\n86459 100000\n50984 76516\n97933 100000\n37374 56089\n57814 86732\n97089 100000\n16845 25243\n88872 100000\n62314 93484\n25954 38922\n3349 5038\n85187 100000\n30882 46371\n67021 100000\n86615 100000\n66016 99030\n90920 100000\n32846 49312\n83174 100000\n78508 100000\n75208 100000\n26555 39843\n75516 100000\n92751 100000\n48846 73353\n67145 100000\n37685 56559\n76046 100000\n77002 100000\n70079 100000\n69461 100000\n4061 6124\n39438 59192\n91114 100000\n8362 12534\n32537 48846\n94988 100000\n44777 67230\n29538 44339\n99157 100000\n75744 100000\n95910 100000\n98246 100000\n33646 50511\n57387 86087\n19856 29794\n20600 30928\n35508 53300\n58225 87370\n65890 98842\n98458 100000\n68095 100000\n29835 44776\n87698 100000\n46327 69566\n21378 32084\n74758 100000\n50830 76287\n8278 12415\n16316 24435\n23820 35755\n95345 100000\n46092 69203\n45893 68906\n63362 95039\n23915 35895\n96136 100000\n54855 82283\n7621 11446\n5157 7747\n53750 80657\n27834 41777\n49622 74502\n57728 86598\n75187 100000\n75742 100000\n87607 100000\n16457 24646\n16970 25438\n55871 83816\n95183 100000\n22853 34307\n43588 65466\n41883 62898\n38876 58342\n20786 31196\n7220 10846\n43677 65594\n88802 100000\n6916 10385\n35275 52958\n62816 94239\n81374 100000\n18515 27785\n78011 100000\n49913 74926\n31719 47608\n41148 61777\n11209 16782\n44364 66629\n96805 100000\n82447 100000\n45186 67847\n96538 100000\n80396 100000\n29511 44294\n13289 19913\n50230 75386\n44710 67127\n64588 96886\n69939 100000\n54076 81141\n79816 100000\n87217 100000\n34047 51136\n57482 86230\n11827 17713\n25608 38418\n41750 62700\n97715 100000\n42231 63419\n58122 87211\n31871 47853\n70278 100000\n79967 100000\n599 907\n18407 27624\n33328 50032\n42946 64512\n81499 100000\n71339 100000\n1018 1525\n46326 69564\n39105 58688\n30239 45398\n25343 38036\n38752 58159\n27439 41174\n67934 100000\n8465 12686\n82388 100000\n3818 5746\n84349 100000\n53063 79627\n29639 44489\n49997 75046\n94803 100000\n26153 39229\n27008 40518\n58841 88307\n81934 100000\n99285 100000\n61307 91966\n17665 26503\n91806 100000\n44964 67523\n81031 100000\n21805 32748\n48085 72213\n12764 19122\n81656 100000\n21339 32026\n11142 16680\n90665 100000\n48099 72231\n16280 24379\n71425 100000\n14960 22394\n91659 100000\n62626 93957\n40571 60888\n60029 90075\n37931 56931\n40453 60708\n25283 37956\n11077 16584\n70081 100000\n79339 100000\n22160 33286\n12901 19333\n94996 100000\n18845 28280\n23770 35677\n95719 100000\n3794 5710\n42172 63330\n1815 2724\n42008 63083\n83325 100000\n89270 100000\n72217 100000\n81913 100000\n52018 78068\n44973 67536\n60677 91032\n38777 58200\n64106 96159\n5820 8752\n34321 51535\n26527 39798\n3570 5376\n37101 55672\n78382 100000\n5072 7622\n22832 34276\n18114 27177\n68638 100000\n79043 100000\n75914 100000\n63965 95947\n15630 23406\n40001 60029\n96372 100000\n42696 64134\n63963 95944\n18558 27853\n54675 82009\n30178 45305\n69999 100000\n34443 51713\n59693 89576\n22135 33250\n24154 36265\n24391 36617\n39021 58567\n36815 55234\n5665 8522\n90131 100000\n52460 78722\n72128 100000\n79067 100000\n58126 87216\n44730 67156\n9023 13504\n23977 35991\n26795 40204\n76155 100000\n47457 71278\n10959 16404\n13473 20181\n78332 100000\n62335 93515\n28145 42254\n8604 12887\n19540 29330\n91407 100000\n1581 2368\n11245 16833\n27362 41056\n2105 3152\n52066 78139\n31554 47372\n10611 15871\n80483 100000\n4300 6471\n68687 100000\n58033 87062\n82187 100000\n12977 19445\n43958 66015\n81349 100000\n1868 2804\n7473 11228\n3195 4807\n20429 30661\n98835 100000\n17091 25619\n767 1153\n62408 93626\n15087 22586\n83007 100000\n89266 100000\n37465 56226\n834 1256\n46151 69291\n50024 75082\n34417 51675\n73049 100000\n89777 100000\n36672 55027\n86588 100000\n64462 96707\n66629 99932\n20055 30087\n79 121\n72079 100000\n45429 68210\n2272 3408\n53502 80284\n80456 100000\n86062 100000\n3879 5841\n33139 49748\n40451 60706\n40056 60117\n94008 100000\n97631 100000\n22524 33823\n16396 24547\n7150 10731\n86908 100000\n92315 100000\n91103 100000\n680 1031\n84405 100000\n71677 100000\n71197 100000\n94534 100000\n16588 24857\n93189 100000\n26289 39443\n36302 54478\n31391 47131\n61065 91602\n13262 19873\n98606 100000\n79129 100000\n92777 100000\n67320 100000\n64753 97130\n57761 86646\n44526 66864\n8112 12165\n19606 29426\n4603 6923\n76062 100000\n32778 49212\n38922 58409\n97629 100000\n57998 87007\n54922 82382\n52704 79091\n64871 97305\n74132 100000\n15491 23208\n67843 100000\n33726 50635\n79310 100000\n51146 76754\n6539 9823\n43424 65226\n91589 100000\n11884 17802\n14996 22452\n9931 14852\n77861 100000\n17342 26012\n25238 37891\n76106 100000\n55311 82971\n91432 100000\n13159 19716\n75872 100000\n65182 97770\n24399 36628\n69908 100000\n68607 100000\n8795 13169\n74938 100000\n61512 92281\n13073 19590\n37179 55791\n35706 53591\n82572 100000\n22246 33418\n30394 45629\n72392 100000\n25573 38367\n9876 14776\n84793 100000\n53551 80355\n46933 70486\n10118 15130\n81179 100000\n51497 77276\n77693 100000\n81485 100000\n70576 100000\n29424 44168\n69742 100000\n76400 100000\n90198 100000\n49800 74763\n38892 58367\n53336 80026\n7042 10574\n24177 36295\n33674 50550\n87737 100000\n97799 100000\n612 925\n33149 49762\n16692 25013\n57642 86473\n93789 100000\n30072 45139\n24754 37169\n96011 100000\n50500 75788\n23802 35726\n51869 77841\n92931 100000\n21565 32365\n95236 100000\n91244 100000\n45859 68855\n86026 100000\n35025 52585\n71744 100000\n34143 51272\n25815 38722\n60200 90330\n15524 23252\n3 4\n95626 100000\n50802 76245\n3373 5077\n49867 74862\n77536 100000\n98019 100000\n55574 83379\n55467 83214\n91908 100000\n53168 79781\n449 683\n61931 92900\n41332 62060\n86446 100000\n86581 100000\n42937 64500\n71747 100000\n53928 80924\n47299 71042\n89954 100000\n88765 100000\n33741 50660\n33985 51037\n86815 100000\n75531 100000\n61331 92004\n26895 40353\n36919 55402\n90309 100000\n38096 57173\n57407 86117\n91725 100000\n47199 70891\n90055 100000\n96443 100000\n23841 35784\n40007 60040\n61635 92460\n26662 39998\n9326 13962\n91469 100000\n93312 100000\n5718 8602\n77512 100000\n83447 100000\n94833 100000\n33342 50053\n46038 69122\n95105 100000\n98737 100000\n30509 45811\n84886 100000\n72619 100000\n34184 51330\n30736 46153\n55326 82995\n36753 55144\n88234 100000\n3379 5086\n63044 94568\n6005 9019\n44717 67137\n58497 87792\n11585 17337\n68731 100000\n24110 36200\n24468 36736\n39164 58781\n15950 23878\n43790 65762\n89501 100000\n21477 32234\n47277 71006\n46183 69343\n1095 1631\n85976 100000\n76557 100000\n43566 65429\n94911 100000\n13607 20372\n42915 64462\n80144 100000\n42277 63489\n27025 40545\n74228 100000\n37953 56965\n89708 100000\n64711 97070\n67224 100000\n4724 7101\n60567 90868\n16985 25462\n60360 90563\n1391 2080\n19407 29119\n58604 87952\n39431 59180\n70099 100000\n26162 39243\n4483 6744\n67247 100000\n60624 90954\n38751 58158\n6494 9754\n74111 100000\n11219 16793\n75276 100000\n2652 3982\n15897 23800\n11007 16478\n99452 100000\n26831 40258\n21603 32428\n52968 79488\n27145 40732\n79651 100000\n83329 100000\n32791 49232\n99988 100000\n27786 41706\n37716 56603\n76517 100000\n22406 33640\n95433 100000\n19136 28712\n50702 76083\n90426 100000\n3123 4695\n29264 43936\n1619 2421\n7146 10725\n19680 29533\n67447 100000\n18840 28271\n46403 69692\n51638 77494\n82450 100000\n60192 90320\n18122 27188\n66770 100000\n83081 100000\n86049 100000\n79648 100000\n64508 96772\n24541 36853\n22268 33450\n5159 7750\n41913 62944\n36922 55405\n89311 100000\n62606 93930\n74848 100000\n77614 100000\n30061 45122\n27608 41430\n28017 42057\n45539 68376\n2916 4384\n2130 3190\n82814 100000\n89751 100000\n86080 100000\n16496 24705\n97004 100000\n80177 100000\n98050 100000\n30856 46335\n19348 29027\n31449 47221\n7522 11300\n81938 100000\n56325 84505\n60678 91033\n62965 94454\n67462 100000\n81252 100000\n29349 44061\n72870 100000\n76576 100000\n72208 100000\n42171 63329\n55906 83870\n6697 10055\n87405 100000\n53529 80326\n47005 70593\n72343 100000\n64338 96511\n38735 58131\n91023 100000\n13256 19864\n41663 62564\n20557 30860\n87505 100000\n10458 15636\n75963 100000\n9942 14870\n66844 100000\n8396 12586\n81358 100000\n27947 41953\n35908 53898\n54574 81865\n78649 100000\n91033 100000\n77051 100000\n99032 100000\n12961 19420\n28491 42774\n50048 75116\n21236 31868\n13463 20166\n23588 35410\n40965 61488\n12435 18631\n8306 12455\n23189 34817\n50503 75793\n52699 79084\n53109 79696\n83935 100000\n61129 91698\n38845 58296\n17471 26208\n29535 44335\n90054 100000\n7216 10840\n34404 51657\n95957 100000\n91376 100000\n45927 68958\n45788 68744\n4372 6585\n18489 27744\n31790 47727\n27938 41939\n3835 5771\n45609 68480\n79580 100000\n28342 42551\n21946 32964\n19454 29195\n70400 100000\n68339 100000\n60582 90891\n66531 99794\n95558 100000\n19802 29715\n57527 86300\n87180 100000\n48296 72523\n24351 36555\n87149 100000\n79785 100000\n88859 100000\n24232 36373\n42125 63258\n97707 100000\n10188 15230\n91750 100000\n69001 100000\n55860 83802\n18235 27360\n74810 100000\n15142 22667\n97359 100000\n63727 95584\n93953 100000\n5123 7698\n52340 78540\n61334 92009\n92937 100000\n1825 2740\n58474 87758\n22577 33903\n37200 55823\n87423 100000\n34871 52358\n38546 57843\n75169 100000\n85684 100000\n5784 8696\n26170 39257\n86390 100000\n32015 48067\n68587 100000\n39507 59295\n38570 57881\n16019 23983\n42213 63391\n21599 32422\n38541 57836\n84356 100000\n62456 93701\n96725 100000\n62550 93847\n40608 60945\n51648 77513\n88378 100000\n90292 100000\n33598 50439\n11574 17322\n95503 100000\n47633 71540\n61511 92280\n9969 14906\n50859 76330\n63822 95724\n17435 26153\n43611 65496\n5625 8465\n60338 90527\n15251 22832\n25305 37985\n42964 64544\n30912 46420\n99533 100000\n61645 92475\n74977 100000\n21424 32155\n41684 62596\n62914 94379\n16050 24035\n17373 26060\n88790 100000\n12010 17996\n7781 11684\n6476 9726\n17215 25819\n42635 64040\n46885 70415\n70333 100000\n86036 100000\n9532 14270\n33895 50900\n45104 67729\n9134 13669\n64482 96740\n91883 100000\n35652 53517\n53409 80136\n6812 10225\n24822 37271\n80277 100000\n26541 39820\n75079 100000\n58806 88254\n73634 100000\n71661 100000\n27630 41464\n1026 1536\n34240 51408\n10696 16005\n40159 60269\n27224 40852\n43557 65415\n7924 11891\n46118 69243\n79744 100000\n21182 31787\n15535 23269\n51354 77060\n93569 100000\n38035 57081\n32650 49019\n81771 100000\n26876 40325\n39201 58834\n37909 56898\n82623 100000\n90619 100000\n35881 53857\n81568 100000\n99899 100000\n95082 100000\n43324 65082\n15016 22484\n19151 28736\n43126 64787\n10217 15274\n22326 33529\n57914 86884\n38738 58136\n16829 25219\n37627 56476\n68846 100000\n48142 72295\n18907 28363\n9260 13861\n70646 100000\n88284 100000\n27548 41346\n61068 91605\n39443 59199\n50832 76291\n7870 11815\n14333 21455\n17514 26271\n85835 100000\n26346 39529\n94429 100000\n11683 17492\n39914 59910\n16996 25477\n68035 100000\n53828 80774\n11877 17792\n77557 100000\n4893 7354\n8615 12902\n23090 34668\n24324 36510\n66520 99776\n78446 100000\n81812 100000\n9277 13887\n10312 15419\n59683 89561\n35948 53957\n30505 45806\n28891 43376\n6387 9591\n82840 100000\n42 64\n12501 18730\n1646 2465\n17056 25566\n2878 4324\n63689 95527\n63428 95136\n76608 100000\n46018 69094\n47895 71936\n60484 90748\n18799 28210\n26582 39881\n4293 6460\n34422 51682\n28224 42377\n44793 67252\n38050 57103\n88272 100000\n40098 60177\n95237 100000\n5662 8517\n63380 95067\n59237 88891\n76014 100000\n89791 100000\n98131 100000\n24852 37311\n433 659\n91462 100000\n95154 100000\n14187 21241\n1010 1514\n25913 38859\n8705 13038\n11383 17038\n97387 100000\n49675 74578\n48433 72732\n18685 28042\n35049 52617\n36457 54710\n56765 85160\n91355 100000\n48804 73294\n71587 100000\n10926 16355\n17526 26288\n68152 100000\n78994 100000\n71572 100000\n59297 88983\n74037 100000\n17974 26966\n58244 87400\n95554 100000\n89568 100000\n13766 20601\n68141 100000\n70508 100000\n87010 100000\n5643 8491\n11110 16630\n42162 63317\n28340 42549\n18253 27387\n24843 37300\n15062 22547\n27092 40654\n31174 46811\n1424 2129\n21231 31861\n13542 20284\n74184 100000\n72874 100000\n39441 59196\n82245 100000\n51318 77006\n63962 95943\n24512 36807\n7043 10576\n85623 100000\n73542 100000\n37753 56661\n93105 100000\n50613 75956\n48966 73536\n2645 3973\n65961 98951\n46173 69329\n44489 66809\n80251 100000\n93120 100000\n497 749\n50937 76443\n44368 66635\n72685 100000\n27934 41933\n4154 6254\n21437 32175\n41053 61625\n46210 69387\n87672 100000\n30573 45908\n97251 100000\n28153 42267\n90428 100000\n49635 74522\n28785 43209\n31017 46577\n77475 100000\n53438 80182\n53886 80857\n96641 100000\n80547 100000\n69804 100000\n52052 78120\n40590 60918\n21068 31615\n27672 41531\n63802 95695\n50532 75832\n21305 31975\n23448 35200\n71862 100000\n25788 38682\n12890 19318\n61073 91611\n51104 76695\n77027 100000\n50938 76445\n91620 100000\n26879 40330\n83368 100000\n96315 100000\n29441 44195\n85268 100000\n63328 94989\n66305 99459\n77950 100000\n53460 80216\n82019 100000\n61679 92523\n87460 100000\n50543 75851\n36235 54374\n47315 71064\n16916 25354\n16302 24412\n82213 100000\n71687 100000\n37987 57015\n3062 4603\n28901 43392\n87133 100000\n3453 5203\n26390 39596\n81630 100000\n93981 100000\n58325 87529\n13638 20414\n69492 100000\n84010 100000\n30003 45036\n89152 100000\n50174 75307\n1054 1575\n2015 3019\n90481 100000\n64019 96029\n60253 90405\n41289 61994\n36559 54864\n37415 56150\n60423 90659\n29974 44993\n60479 90739\n93451 100000\n93916 100000\n65080 97616\n14843 22217\n24715 37110\n27177 40777\n65918 98883\n99635 100000\n63866 95790\n22180 33316\n25096 37674\n7181 10780\n16856 25259\n15569 23319\n89718 100000\n14319 21433\n76016 100000\n85832 100000\n76376 100000\n59806 89747\n76525 100000\n2693 4045\n31562 47384\n85081 100000\n99207 100000\n58183 87300\n55530 83314\n97774 100000\n61596 92404\n24553 36868\n49679 74584\n62391 93603\n33658 50530\n56008 84025\n53420 80154\n38847 58300\n5928 8910\n90823 100000\n96493 100000\n53974 80992\n4971 7471\n69577 100000\n33114 49709\n26916 40382\n67403 100000\n25557 38339\n13453 20151\n94036 100000\n58554 87876\n21933 32947\n631 954\n67100 100000\n47662 71583\n8998 13466\n83395 100000\n33746 50669\n5201 7811\n75562 100000\n70715 100000\n3825 5755\n64176 96262\n78259 100000\n62171 93269\n97323 100000\n28830 43281\n40195 60320\n4574 6883\n74865 100000\n17345 26018\n33605 50448\n92517 100000\n9351 14001\n67085 100000\n83699 100000\n66480 99724\n22475 33751\n53859 80817\n8816 13202\n85295 100000\n18027 27044\n14517 21728\n37773 56691\n74390 100000\n12593 18868\n38305 57476\n73110 100000\n31155 46785\n30789 46230\n4503 6772\n8126 12183\n9133 13668\n61489 92247\n69643 100000\n50453 75719\n60825 91248\n77901 100000\n33273 49950\n12460 18666\n46464 69787\n83242 100000\n33245 49906\n35111 52708\n47556 71425\n76330 100000\n91740 100000\n96821 100000\n34640 52003\n2110 3159\n48805 73295\n65411 98116\n26022 39031\n54859 82289\n77865 100000\n58102 87174\n59055 88619\n25643 38470\n47608 71504\n87250 100000\n57269 85909\n62207 93321\n36581 54896\n58742 88163\n22378 33602\n32231 48392\n40713 61112\n35980 54001\n57577 86376\n80064 100000\n31937 47949\n59890 89865\n52398 78627\n50396 75637\n81571 100000\n99640 100000\n46583 69971\n38010 57048\n53539 80339\n52891 79377\n70584 100000\n49518 74351\n84954 100000\n22678 34049\n76487 100000\n33251 49915\n78136 100000\n45860 68856\n17715 26581\n87951 100000\n27478 41237\n79278 100000\n98442 100000\n53829 80776\n40234 60378\n29090 43673\n83468 100000\n37348 56046\n24971 37496\n94285 100000\n7128 10695\n3295 4954\n319 487\n46696 70138\n25218 37860\n28444 42707\n61561 92354\n22356 33571\n73201 100000\n62020 93032\n70445 100000\n171 262\n70113 100000\n22046 33116\n90196 100000\n89896 100000\n32772 49203\n15318 22937\n39703 59588\n70497 100000\n88004 100000\n71173 100000\n6358 9548\n53882 80850\n5845 8788\n65958 98946\n2971 4471\n15844 23720\n99985 100000\n92939 100000\n71719 100000\n81686 100000\n61589 92393\n61846 92775\n13120 19658\n23858 35808\n44350 66609\n17894 26852\n96997 100000\n12907 19343\n35816 53758\n62783 94187\n48705 73152\n26114 39165\n69966 100000\n83459 100000\n40309 60491\n7988 11986\n26516 39783\n45657 68548\n65895 98849\n4477 6735\n64526 96796\n54233 81377\n37334 56025\n39910 59905\n3464 5220\n31034 46604\n65510 98266\n95779 100000\n32584 48916\n74914 100000\n23272 34938\n16774 25131\n41357 62097\n61811 92719\n33923 50943\n32509 48808\n82767 100000\n38008 57045\n34848 52321\n58321 87522\n77467 100000\n48532 72884\n62336 93516\n93557 100000\n82266 100000\n16751 25098\n53553 80358\n87254 100000\n82313 100000\n84754 100000\n62921 94389\n98088 100000\n83076 100000\n31679 47551\n10251 15326\n54041 81092\n60025 90069\n5450 8198\n3662 5512\n3690 5556\n34861 52340\n85581 100000\n30565 45896\n21381 32088\n38783 58208\n60152 90257\n10632 15905\n25584 38384\n55499 83263\n58236 87389\n42850 64368\n13896 20796\n77559 100000\n21871 32851\n48613 73010\n84635 100000\n4126 6216\n74018 100000\n97962 100000\n17134 25687\n43682 65603\n70214 100000\n80028 100000\n40690 61075\n22444 33702\n89125 100000\n97278 100000\n32696 49084\n44253 66463\n24111 36201\n22353 33567\n64492 96752\n19160 28751\n28174 42297\n84824 100000\n1136 1691\n29070 43646\n8430 12633\n35884 53861\n94195 100000\n53547 80351\n60166 90279\n86419 100000\n93759 100000\n89138 100000\n46486 69823\n11895 17819\n2380 3573\n28525 42827\n93816 100000\n48047 72161\n80982 100000\n52819 79270\n75588 100000\n40102 60183\n10641 15917\n34138 51264\n32170 48298\n66863 100000\n63516 95270\n59511 89303\n75133 100000\n77326 100000\n25245 37903\n32935 49444\n47749 71712\n67749 100000\n41441 62226\n76482 100000\n35536 53345\n76698 100000\n326 499\n23226 34871\n97403 100000\n37629 56479\n1116 1662\n47290 71029\n5704 8582\n28070 42140\n93397 100000\n15005 22465\n5571 8381\n42423 63725\n46511 69860\n6998 10505\n39421 59163\n11164 16711\n60342 90533\n44436 66734\n49132 73786\n78149 100000\n49845 74829\n40165 60276\n82896 100000\n99581 100000\n46147 69284\n79140 100000\n63220 94832\n11027 16509\n99654 100000\n79314 100000\n75861 100000\n70526 100000\n61306 91965\n90416 100000\n67920 100000\n35009 52560\n10579 15823\n88592 100000\n67725 100000\n16954 25413\n13801 20650\n24555 36871\n88428 100000\n12551 18808\n88537 100000\n47769 71740\n27294 40954\n38316 57493\n37738 56637\n6242 9373\n82677 100000\n22692 34070\n97575 100000\n58452 87722\n59354 89069\n68220 100000\n19604 29423\n92085 100000\n13373 20040\n99975 100000\n6121 9198\n32559 48879\n44631 67018\n87578 100000\n2953 4444\n32188 48324\n77044 100000\n64171 96257\n96075 100000\n21098 31662\n14371 21512\n7991 11989\n73548 100000\n60467 90719\n29691 44564\n42434 63743\n41377 62129\n18431 27656\n45228 67911\n61644 92474\n25471 38217\n44029 66122\n48973 73546\n59886 89859\n16660 24966\n61421 92137\n62912 94376\n98782 100000\n93627 100000\n57804 86716\n86239 100000\n55370 83061\n91429 100000\n21293 31956\n39107 58691\n63307 94958\n22916 34406\n73123 100000\n6071 9122\n61515 92284\n38557 57860\n65270 97904\n5382 8087\n5639 8485\n7666 11512\n80492 100000\n43446 65256\n30599 45947\n39503 59289\n4877 7325\n67788 100000\n83619 100000\n94749 100000\n48941 73501\n78711 100000\n5171 7767\n57365 86054\n56525 84810\n73425 100000\n40293 60467\n75546 100000\n27279 40930\n68975 100000\n5194 7801\n88580 100000\n95509 100000\n53453 80203\n39825 59771\n63537 95302\n61270 91911\n22079 33164\n12735 19079\n72771 100000\n26525 39795\n38817 58259\n29066 43640\n98396 100000\n47060 70680\n67638 100000\n39048 58602\n40939 61455\n13096 19623\n82683 100000\n16015 23978\n27948 41954\n18399 27611\n92308 100000\n31586 47419\n56358 84555\n3034 4560\n61296 91950\n64136 96204\n13635 20410\n64765 97147\n67398 100000\n42849 64367\n3959 5967\n74441 100000\n31980 48015\n88973 100000\n65236 97849\n19249 28878\n69098 100000\n82621 100000\n17728 26598\n3556 5351\n42618 64015\n26815 40234\n52500 78785\n82521 100000\n40285 60455\n7565 11361\n74917 100000\n42306 63533\n56494 84763\n762 1146\n36425 54663\n31246 46913\n29881 44850\n65303 97959\n23785 35700\n82751 100000\n98729 100000\n97842 100000\n60255 90407\n18424 27647\n21901 32900\n95876 100000\n16258 24343\n40999 61544\n26611 39924\n53223 79857\n44420 66712\n9252 13849\n77882 100000\n21985 33022\n67889 100000\n76748 100000\n56157 84254\n39318 59009\n76819 100000\n61554 92344\n11061 16558\n51103 76693\n29962 44973\n75528 100000\n90409 100000\n91377 100000\n42038 63131\n6568 9863\n2575 3863\n28634 42993\n2281 3423\n14071 21060\n78614 100000\n48801 73291\n70855 100000\n73441 100000\n48442 72747\n67509 100000\n11031 16514\n60482 90744\n56375 84579\n3969 5985\n53736 80635\n77350 100000\n84123 100000\n18568 27867\n1033 1546\n35859 53822\n1217 1811\n32789 49228\n6810 10223\n74739 100000\n56892 85347\n63725 95581\n59898 89877\n14350 21478\n7725 11603\n36031 54082\n16397 24548\n89799 100000\n75037 100000\n63976 95964\n37824 56769\n30014 45054\n16025 23992\n30147 45257\n63460 95183\n77491 100000\n43431 65234\n66536 99802\n24782 37210\n7031 10559\n38278 57439\n12145 18189\n22224 33381\n89904 100000\n60749 91135\n53181 79801\n39740 59648\n41900 62926\n11286 16895\n78767 100000\n6016 9035\n85069 100000\n37988 57017\n62734 94115\n85574 100000\n87189 100000\n25726 38587\n16110 24127\n22718 34106\n76035 100000\n72427 100000\n62758 94153\n89358 100000\n64643 96964\n45522 68352\n23280 34951\n17723 26592\n87749 100000\n21089 31649\n57077 85639\n15988 23938\n88990 100000\n98427 100000\n89034 100000\n68734 100000\n45766 68715\n47430 71237\n5369 8068\n216 327\n95663 100000\n66324 99488\n21190 31800\n7730 11611\n59942 89946\n25513 38281\n56001 84014\n68897 100000\n24880 37354\n5674 8536\n86599 100000\n77280 100000\n27112 40683\n49434 74222\n63795 95685\n31779 47708\n93756 100000\n21290 31951\n30085 45155\n38704 58085\n97597 100000\n60508 90782\n9533 14272\n78497 100000\n3376 5081\n27 42\n94549 100000\n68221 100000\n43509 65345\n70823 100000\n63265 94896\n88128 100000\n15673 23470\n63306 94956\n8987 13451\n90069 100000\n49626 74508\n5605 8438\n94335 100000\n16446 24626\n8325 12484\n38234 57374\n33778 50713\n38910 58392\n21084 31641\n11365 17012\n70943 100000\n56881 85332\n27573 41385\n46256 69459\n80460 100000\n43669 65580\n3145 4727\n99641 100000\n92186 100000\n49839 74819\n17021 25514\n58201 87331\n98660 100000\n3567 5371\n66898 100000\n82970 100000\n72227 100000\n74913 100000\n32469 48753\n89846 100000\n14407 21561\n58634 88001\n83026 100000\n5456 8206\n48912 73455\n46133 69263\n44268 66484\n99852 100000\n67566 100000\n20110 30169\n93787 100000\n48131 72276\n90529 100000\n76496 100000\n98591 100000\n7877 11827\n35850 53808\n4566 6870\n91769 100000\n73822 100000\n28208 42353\n96539 100000\n19252 28882\n41699 62619\n39241 58894\n92143 100000\n77668 100000\n92189 100000\n72395 100000\n86479 100000\n17530 26295\n49005 73596\n65761 98645\n80158 100000\n81631 100000\n56534 84825\n65289 97935\n28238 42396\n11396 17053\n57710 86573\n94712 100000\n66079 99123\n11754 17600\n74744 100000\n37571 56389\n58419 87668\n13747 20573\n44511 66844\n28189 42321\n79225 100000\n52667 79036\n64137 96206\n91404 100000\n17364 26048\n50879 76357\n23413 35145\n69354 100000\n26211 39323\n59182 88805\n85925 100000\n2562 3845\n17013 25503\n47009 70599\n81044 100000\n57210 85829\n22092 33183\n72952 100000\n69353 100000\n2646 3974\n4994 7505\n81300 100000\n70921 100000\n8913 13345\n49276 73998\n48977 73552\n7928 11896\n2316 3477\n12649 18955\n43333 65094\n8317 12473\n26384 39588\n5945 8934\n7607 11421\n88358 100000\n82526 100000\n21889 32881\n9726 14545\n89993 100000\n39379 59107\n78186 100000\n14054 21034\n13221 19811\n8211 12321\n30714 46121\n97203 100000\n38079 57147\n66259 99394\n88334 100000\n49687 74595\n27435 41168\n1638 2452\n11041 16529\n3183 4786\n48308 72541\n51988 78020\n90247 100000\n7147 10726\n52502 78787\n35747 53652\n36937 55429\n94492 100000\n2859 4289\n62418 93640\n27864 41823\n7439 11178\n87638 100000\n56974 85476\n60448 90692\n78789 100000\n56942 85428\n14620 21883\n32479 48767\n68181 100000\n1685 2525\n89794 100000\n84077 100000\n44186 66366\n8026 12041\n63688 95525\n77643 100000\n65720 98586\n91708 100000\n60620 90948\n13867 20750\n82000 100000\n18834 28262\n90518 100000\n21484 32243\n90379 100000\n97951 100000\n28710 43098\n62621 93952\n66269 99408\n88476 100000\n14032 21005\n56858 85300\n24645 37008\n83303 100000\n68168 100000\n96640 100000\n27497 41270\n35583 53416\n87602 100000\n47544 71409\n16809 25189\n15186 22736\n65338 98012\n91666 100000\n13606 20371\n5399 8116\n77472 100000\n6131 9212\n89951 100000\n40290 60463\n11598 17360\n91187 100000\n75814 100000\n61952 92931\n54458 81701\n9597 14358\n90966 100000\n89165 100000\n30200 45338\n99375 100000\n8241 12362\n97377 100000\n15566 23315\n60213 90347\n94678 100000\n18312 27476\n15182 22729\n34424 51685\n32430 48693\n31687 47563\n94066 100000\n89688 100000\n73810 100000\n85573 100000\n95123 100000\n35407 53149\n72902 100000\n36442 54688\n37458 56215\n54637 81956\n68345 100000\n14953 22382\n28261 42434\n67414 100000\n33583 50417\n94762 100000\n25786 38679\n93872 100000\n6983 10481\n23699 35571\n63503 95251\n75148 100000\n40184 60304\n71032 100000\n98925 100000\n37254 55907\n59573 89395\n44337 66589\n30175 45299\n55346 83027\n49915 74928\n5324 8004\n20432 30666\n75701 100000\n36852 55292\n70696 100000\n65220 97824\n31998 48043\n36001 54032\n14324 21441\n24641 37001\n66682 100000\n47631 71537\n23911 35889\n36356 54561\n54974 82460\n27954 41963\n41290 61995\n47399 71192\n8084 12123\n44644 67034\n13964 20901\n22742 34143\n8308 12459\n92596 100000\n84434 100000\n3631 5467\n87385 100000\n39940 59947\n880 1324\n89002 100000\n90090 100000\n3566 5369\n18240 27369\n22026 33085\n43866 65876\n97401 100000\n84850 100000\n57655 86494\n21475 32231\n94868 100000\n61047 91573\n11319 16944\n53933 80932\n43862 65870\n16450 24634\n89665 100000\n58895 88396\n50538 75841\n32097 48192\n75051 100000\n46782 70263\n78595 100000\n68550 100000\n81059 100000\n71540 100000\n72555 100000\n95356 100000\n53475 80242\n42559 63925\n35207 52855\n37847 56801\n9752 14586\n7987 11985\n79999 100000\n78561 100000\n83837 100000\n49855 74844\n86772 100000\n8050 12079\n79933 100000\n57523 86292\n77817 100000\n11491 17199\n52103 78195\n65872 98815\n57274 85916\n60478 90738\n38335 57523\n56607 84932\n70456 100000\n82643 100000\n34728 52139\n25550 38331\n27889 41862\n30117 45208\n99976 100000\n6405 9621\n84709 100000\n35121 52721\n13574 20329\n67723 100000\n43408 65201\n49428 74211\n62292 93453\n34677 52063\n29386 44110\n2622 3939\n98951 100000\n55116 82681\n38128 57224\n78511 100000\n34834 52303\n61852 92784\n39065 58625\n26981 40478\n34844 52316\n75610 100000\n30350 45564\n8194 12295\n8055 12087\n8188 12285\n87620 100000\n52441 78692\n56057 84102\n11178 16733\n53293 79958\n72462 100000\n82147 100000\n2276 3415\n73982 100000\n80450 100000\n57300 85955\n18901 28353\n48550 72909\n13238 19836\n76318 100000\n50267 75446\n67946 100000\n92957 100000\n65098 97645\n80387 100000\n72169 100000\n21012 31530\n53053 79610\n31987 48025\n78024 100000\n46333 69577\n81258 100000\n30242 45403\n95188 100000\n55722 83599\n67019 100000\n8951 13397\n88712 100000\n72334 100000\n95661 100000\n80884 100000\n22824 34265\n23082 34657\n8398 12589\n93552 100000\n13674 20464\n47398 71190\n43448 65259\n9664 14449\n21999 33043\n24419 36659\n22670 34036\n98255 100000\n95222 100000\n80155 100000\n70501 100000\n80455 100000\n26014 39019\n90693 100000\n26737 40114\n624 942\n83919 100000\n18365 27556\n7919 11883\n81649 100000\n2011 3013\n99054 100000\n88034 100000\n21722 32614\n2322 3487\n24632 36985\n41333 62061\n51759 77674\n96357 100000\n71116 100000\n88886 100000\n29666 44527\n81966 100000\n73630 100000\n38283 57446\n60443 90686\n58860 88339\n39139 58742\n99312 100000\n28117 42211\n52869 79345\n19052 28580\n38439 57678\n14671 21959\n71180 100000\n64049 96077\n59062 88627\n32356 48580\n30058 45118\n56274 84424\n83953 100000\n2906 4368\n36115 54203\n50519 75814\n56108 84177\n34558 51880\n10084 15079\n60375 90589\n86830 100000\n29537 44338\n34996 52539\n54494 81755\n90744 100000\n59404 89145\n98630 100000\n75256 100000\n80010 100000\n761 1144\n82894 100000\n53856 80814\n92749 100000\n81283 100000\n35077 52660\n27144 40731\n13264 19876\n72948 100000\n39554 59365\n16148 24179\n65087 97627\n79105 100000\n90765 100000\n85969 100000\n57794 86699\n88587 100000\n11308 16928\n52889 79375\n33523 50325\n2835 4253\n48888 73417\n77428 100000\n14034 21007\n56151 84244\n83513 100000\n8812 13195\n48566 72938\n73602 100000\n89422 100000\n89062 100000\n57768 86659\n43376 65155\n44633 67020\n86032 100000\n34314 51523\n85131 100000\n23222 34864\n28869 43340\n54536 81815\n12743 19091\n4638 6975\n46310 69539\n11762 17611\n48836 73339\n83671 100000\n47919 71969\n77927 100000\n39181 58803\n72402 100000\n39062 58620\n59351 89064\n17386 26078\n70078 100000\n19624 29451\n48764 73235\n8476 12704\n31344 47060\n44676 67080\n3470 5228\n43239 64954\n87655 100000\n28170 42291\n91560 100000\n30426 45683\n96796 100000\n34063 51161\n30243 45404\n6957 10444\n96614 100000\n77773 100000\n51152 76762\n31187 46828\n789 1185\n58264 87431\n85838 100000\n73775 100000\n25294 37969\n56961 85457\n46468 69792\n92806 100000\n92525 100000\n92341 100000\n77803 100000\n70760 100000\n23111 34702\n62263 93409\n31035 46606\n29692 44566\n99885 100000\n58266 87434\n43670 65582\n17362 26045\n77120 100000\n34357 51585\n83715 100000\n68907 100000\n17067 25585\n56656 85007\n80052 100000\n54391 81604\n25256 37920\n96177 100000\n68960 100000\n80861 100000\n74855 100000\n5253 7894\n13428 20119\n14968 22406\n29622 44462\n40987 61522\n62452 93694\n98523 100000\n5721 8606\n5296 7962\n93776 100000\n59632 89480\n8942 13385\n23579 35395\n95819 100000\n31802 47747\n79532 100000\n46466 69789\n91017 100000\n92649 100000\n6212 9330\n20252 30388\n52518 78813\n56709 85085\n92138 100000\n10637 15912\n53774 80694\n94211 100000\n98797 100000\n39705 59590\n37902 56886\n69132 100000\n37951 56963\n58738 88157\n63474 95205\n16926 25368\n41743 62689\n90666 100000\n24393 36620\n52525 78821\n9756 14590\n28214 42361\n87593 100000\n87047 100000\n52864 79338\n52491 78770\n12244 18332\n46681 70115\n27522 41310\n47181 70864\n75681 100000\n44564 66919\n24379 36600\n27772 41686\n6043 9077\n62504 93773\n65253 97877\n6169 9269\n79820 100000\n9328 13966\n8503 12741\n41978 63039\n60667 91015\n91830 100000\n74782 100000\n54945 82417\n10041 15009\n1547 2313\n6053 9092\n93363 100000\n21237 31869\n42839 64353\n53163 79776\n66032 99051\n93065 100000\n19089 28640\n35127 52731\n80885 100000\n99668 100000\n21114 31689\n49080 73706\n81673 100000\n983 1470\n88760 100000\n89737 100000\n35844 53800\n1778 2669\n93995 100000\n70331 100000\n28970 43498\n72669 100000\n10661 15948\n76920 100000\n11154 16695\n60636 90973\n35862 53827\n58051 87090\n67844 100000\n58771 88204\n77656 100000\n93679 100000\n72589 100000\n68007 100000\n83455 100000\n32055 48131\n41668 62571\n66745 100000\n91398 100000\n9807 14671\n36670 55025\n58839 88303\n75582 100000\n57496 86256\n85079 100000\n21232 31862\n90763 100000\n55177 82779\n44051 66156\n62781 94184\n70845 100000\n75242 100000\n94665 100000\n33842 50815\n45084 67702\n46240 69433\n24736 37138\n8893 13315\n19381 29077\n25456 38196\n47406 71202\n33470 50241\n65803 98707\n81324 100000\n61578 92379\n49135 73790\n57176 85780\n36211 54340\n63319 94976\n46674 70106\n61216 91829\n52330 78522\n58275 87448\n90005 100000\n44300 66533\n85812 100000\n31765 47686\n67922 100000\n85864 100000\n42470 63794\n30858 46338\n55031 82543\n52917 79414\n23990 36017\n21974 33009\n42972 64554\n20957 31451\n56003 84017\n80477 100000\n59966 89979\n51882 77860\n73568 100000\n81385 100000\n37265 55924\n55956 83945\n28503 42793\n99164 100000\n27108 40677\n43125 64786\n79646 100000\n78365 100000\n90768 100000\n75507 100000\n10737 16068\n89428 100000\n31300 46992\n15809 23670\n91267 100000\n30945 46466\n21296 31961\n84203 100000\n6391 9597\n54918 82375\n60691 91050\n55479 83232\n20179 30275\n56032 84062\n7982 11977\n6170 9271\n98532 100000\n50180 75317\n65212 97814\n70774 100000\n43085 64723\n16723 25055\n99397 100000\n31032 46602\n48368 72634\n4447 6690\n32349 48571\n16180 24226\n63730 95588\n5466 8221\n31078 46672\n45553 68393\n70539 100000\n4486 6748\n20984 31489\n95351 100000\n47356 71124\n16936 25385\n96937 100000\n94337 100000\n8485 12718\n79969 100000\n70891 100000\n81429 100000\n90127 100000\n45534 68370\n35704 53588\n25842 38759\n49345 74088\n46567 69947\n71047 100000\n75157 100000\n53067 79633\n24710 37104\n11737 17574\n97111 100000\n33802 50752\n89248 100000\n28418 42667\n51458 77219\n56421 84653\n16876 25292\n73935 100000\n13280 19900\n89516 100000\n25380 38089\n67718 100000\n56959 85454\n35913 53905\n72708 100000\n25458 38199\n52952 79467\n67829 100000\n94870 100000\n50981 76511\n298 451\n12334 18473\n84352 100000\n92544 100000\n50877 76355\n48636 73043\n8644 12945\n35458 53227\n38775 58197\n73430 100000\n59485 89263\n77171 100000\n9910 14821\n90589 100000\n89146 100000\n45644 68531\n75189 100000\n59970 89985\n90838 100000\n12264 18362\n56333 84517\n58241 87396\n71196 100000\n23062 34628\n27386 41095\n45299 68015\n3604 5425\n19288 28935\n24024 36071\n16065 24058\n64353 96534\n27530 41321\n19498 29263\n4125 6215\n50912 76408\n81904 100000\n92300 100000\n76984 100000\n28654 43020\n16651 24950\n71658 100000\n67306 100000\n70173 100000\n95852 100000\n59315 89007\n64246 96366\n97567 100000\n28361 42582\n34370 51605\n14918 22329\n5002 7517\n98918 100000\n88904 100000\n4103 6185\n76043 100000\n38423 57654\n2636 3961\n77853 100000\n72318 100000\n22030 33090\n38341 57531\n94466 100000\n84945 100000\n35320 53023\n25490 38244\n50385 75621\n58350 87562\n85788 100000\n35998 54027\n6927 10401\n69237 100000\n72766 100000\n12439 18636\n15711 23526\n71613 100000\n33389 50123\n95006 100000\n84431 100000\n46959 70523\n11930 17876\n40516 60802\n8293 12439\n32191 48328\n62185 93291\n98602 100000\n3733 5618\n18621 27946\n69759 100000\n48746 73208\n73490 100000\n87779 100000\n98494 100000\n24376 36595\n30180 45309\n39161 58777\n43856 65861\n46440 69752\n45924 68954\n82459 100000\n70369 100000\n4782 7188\n21674 32543\n55781 83685\n99119 100000\n99702 100000\n30265 45441\n61727 92594\n95472 100000\n22579 33906\n85980 100000\n11151 16692\n79494 100000\n43350 65117\n15307 22918\n20632 30969\n52912 79408\n61606 92417\n26955 40443\n22714 34101\n82410 100000\n25650 38481\n13395 20070\n56316 84490\n50838 76300\n67206 100000\n3649 5494\n50357 75582\n74405 100000\n92699 100000\n34264 51445\n17020 25513\n48389 72667\n46187 69349\n9085 13598\n28257 42426\n87161 100000\n88501 100000\n3097 4656\n47375 71155\n50409 75656\n31638 47497\n40311 60494\n4016 6057\n67290 100000\n22036 33100\n66116 99179\n18529 27808\n27739 41634\n94972 100000\n94936 100000\n26833 40262\n82984 100000\n11743 17582\n93896 100000\n71908 100000\n62428 93659\n4249 6392\n44344 66601\n14631 21898\n27161 40753\n80923 100000\n11381 17034\n40811 61260\n11024 16504\n71131 100000\n9318 13949\n82460 100000\n68105 100000\n51967 77990\n61301 91958\n87399 100000\n12473 18687\n57449 86177\n89233 100000\n44688 67097\n38195 57318\n83570 100000\n27996 42026\n79053 100000\n43178 64864\n49926 74942\n39174 58793\n54499 81761\n50229 75385\n41892 62913\n52112 78208\n36543 54842\n31326 47031\n20853 31293\n83135 100000\n52415 78652\n58021 87041\n48427 72723\n25261 37925\n20343 30527\n92999 100000\n65169 97753\n98672 100000\n66095 99147\n35446 53212\n71601 100000\n52199 78331\n42288 63504\n51381 77100\n58652 88030\n1494 2237\n61541 92323\n65380 98072\n84425 100000\n60180 90302\n55367 83056\n91529 100000\n20949 31440\n41714 62644\n12565 18828\n21100 31666\n83400 100000\n68338 100000\n746 1121\n80048 100000\n32102 48199\n40546 60851\n33095 49678\n14088 21087\n37225 55864\n4932 7411\n65159 97738\n5280 7936\n83145 100000\n32253 48426\n48743 73204\n65427 98141\n30385 45614\n10896 16314\n53342 80033\n6592 9899\n18246 27378\n85989 100000\n56811 85228\n38066 57127\n15962 23896\n18660 28002\n39745 59656\n76060 100000\n84091 100000\n855 1287\n55120 82688\n32985 49519\n72470 100000\n76348 100000\n90515 100000\n72122 100000\n24276 36433\n11149 16689\n4873 7319\n7776 11677\n55562 83360\n43544 65393\n52304 78480\n11119 16643\n60386 90605\n48626 73030\n96072 100000\n25492 38247\n87118 100000\n46490 69829\n97467 100000\n51618 77461\n22236 33401\n82617 100000\n23213 34852\n15974 23916\n3104 4667\n60905 91367\n62158 93252\n25148 37754\n21734 32633\n43017 64622\n42938 64501\n86570 100000\n61771 92659\n81570 100000\n95822 100000\n17552 26326\n52781 79217\n34720 52129\n76789 100000\n97807 100000\n36825 55249\n66421 99636\n78736 100000\n34328 51545\n76771 100000\n24975 37503\n53440 80184\n31328 47035\n51187 76814\n21211 31830\n73625 100000\n43928 65972\n29346 44057\n88857 100000\n76981 100000\n53270 79926\n55140 82721\n44431 66727\n78181 100000\n12273 18377\n40741 61153\n65696 98547\n20647 30992\n72503 100000\n26511 39774\n61016 91530\n93225 100000\n73782 100000\n84366 100000\n69140 100000\n66622 99922\n49459 74258\n15671 23468\n34053 51146\n32406 48656\n31096 46698\n75137 100000\n52431 78678\n31164 46797\n77670 100000\n53746 80652\n16875 25290\n77193 100000\n74261 100000\n20258 30398\n62441 93678\n28686 43067\n12808 19194\n66523 99782\n45823 68797\n28085 42163\n24951 37463\n99708 100000\n50364 75592\n69434 100000\n95402 100000\n84489 100000\n63271 94903\n2709 4068\n64145 96219\n93799 100000\n89912 100000\n28806 43241\n41642 62535\n2467 3701\n79703 100000\n9029 13512\n63092 94644\n9126 13658\n546 823\n84479 100000\n67500 100000\n23539 35339\n13127 19669\n31226 46885\n53134 79733\n54965 82445\n62680 94036\n75790 100000\n11318 16943\n10930 16361\n14218 21291\n60676 91030\n60027 90073\n42750 64219\n81555 100000\n97454 100000\n76110 100000\n69409 100000\n93223 100000\n59703 89590\n44252 66462\n86243 100000\n21103 31671\n4286 6448\n56276 84427\n68162 100000\n62808 94227\n22432 33682\n14890 22289\n52992 79522\n1036 1549\n43056 64679\n7822 11745\n67983 100000\n13302 19933\n4972 7473\n61932 92901\n61335 92010\n1532 2293\n54559 81845\n13901 20803\n85237 100000\n50870 76346\n42638 64043\n2167 3249\n74497 100000\n48215 72400\n18514 27783\n88847 100000\n87519 100000\n45055 67661\n49813 74782\n76050 100000\n62422 93647\n76693 100000\n1879 2819\n9026 13507\n93438 100000\n60269 90423\n21594 32414\n2507 3760\n65423 98136\n36155 54261\n66204 99316\n72325 100000\n87072 100000\n86000 100000\n67871 100000\n64325 96492\n26600 39908\n75655 100000\n64683 97025\n97609 100000\n79147 100000\n86312 100000\n66518 99772\n57295 85948\n70262 100000\n21687 32561\n94467 100000\n23027 34572\n97824 100000\n11572 17320\n11181 16737\n72909 100000\n20801 31215\n42873 64401\n75834 100000\n15769 23612\n68863 100000\n66790 100000\n44619 67002\n54141 81240\n85616 100000\n91773 100000\n20093 30144\n52205 78341\n93185 100000\n60475 90732\n16553 24799\n27276 40926\n56556 84855\n30404 45648\n40940 61456\n41922 62956\n48122 72265\n35227 52885\n7429 11162\n93886 100000\n48263 72467\n4457 6704\n62975 94469\n94398 100000\n65641 98464\n68076 100000\n83804 100000\n45363 68110\n19281 28926\n27355 41047\n93834 100000\n20604 30935\n70084 100000\n41300 62011\n70292 100000\n44454 66757\n9972 14910\n31943 47956\n67780 100000\n66223 99345\n4368 6578\n29887 44859\n13987 20936\n73027 100000\n84699 100000\n15953 23882\n84899 100000\n58207 87341\n52466 78730\n24180 36301\n26271 39413\n67894 100000\n73403 100000\n9506 14231\n14893 22294\n80527 100000\n41803 62780\n15889 23787\n95364 100000\n22817 34254\n48609 73006\n43685 65609\n47592 71476\n7612 11430\n959 1437\n49315 74048\n26171 39259\n59264 88931\n47179 70862\n85504 100000\n92455 100000\n6119 9196\n72265 100000\n98694 100000\n76131 100000\n51542 77346\n36146 54246\n58879 88368\n68889 100000\n99263 100000\n71040 100000\n89612 100000\n35198 52841\n11504 17218\n90780 100000\n80878 100000\n4315 6495\n48273 72486\n78406 100000\n82045 100000\n9797 14655\n31904 47899\n88136 100000\n24107 36196\n71438 100000\n80692 100000\n81394 100000\n75430 100000\n13111 19644\n84025 100000\n37183 55798\n9952 14885\n96943 100000\n79862 100000\n32834 49295\n80842 100000\n8327 12486\n72936 100000\n96400 100000\n21022 31544\n82661 100000\n99041 100000\n54588 81887\n5014 7537\n24688 37071\n70043 100000\n48917 73464\n74354 100000\n62616 93942\n96155 100000\n44581 66943\n88016 100000\n35626 53484\n87234 100000\n88977 100000\n79699 100000\n99327 100000\n8292 12438\n73862 100000\n30989 46536\n9613 14378\n90611 100000\n57421 86139\n2673 4012\n83492 100000\n9922 14837\n83621 100000\n49692 74603\n61496 92257\n41412 62184\n55841 83770\n47880 71909\n88406 100000\n16474 24668\n5384 8091\n88688 100000\n89229 100000\n41 62\n87861 100000\n78898 100000\n46673 70105\n86041 100000\n26811 40228\n24674 37053\n48266 72472\n7521 11299\n10214 15269\n40699 61091\n37539 56335\n5271 7923\n93460 100000\n30484 45772\n79052 100000\n88564 100000\n71445 100000\n9810 14675\n49970 75003\n75917 100000\n69646 100000\n57929 86906\n2839 4259\n10185 15226\n53207 79836\n31192 46834\n51129 76730\n99923 100000\n44593 66961\n55434 83165\n85757 100000\n8355 12523\n51982 78012\n81869 100000\n43434 65239\n25039 37593\n66950 100000\n56763 85157\n61748 92626\n99616 100000\n57056 85609\n70995 100000\n74100 100000\n5699 8575\n67835 100000\n77545 100000\n13249 19852\n14850 22228\n91273 100000\n61395 92097\n12052 18056\n65595 98392\n39908 59903\n91727 100000\n9611 14376\n49824 74799\n36651 54997\n45712 68633\n13517 20245\n37440 56188\n59753 89668\n66492 99738\n40320 60508\n95609 100000\n76780 100000\n74030 100000\n41987 63053\n75373 100000\n85958 100000\n98076 100000\n77351 100000\n92597 100000\n58681 88077\n14004 20960\n68713 100000\n91565 100000\n27552 41352\n14892 22292\n10248 15320\n92461 100000\n52069 78144\n49134 73789\n88986 100000\n89192 100000\n16530 24764\n23521 35314\n76430 100000\n74553 100000\n87129 100000\n13358 20019\n61294 91946\n75974 100000\n15400 23064\n41389 62150\n69847 100000\n25459 38201\n25443 38177\n97718 100000\n48007 72098\n21259 31900\n21626 32466\n19314 28974\n22415 33655\n65095 97640\n14104 21113\n20765 31162\n22269 33451\n18153 27237\n87294 100000\n72049 100000\n23038 34592\n68117 100000\n57753 86634\n37337 56028\n20796 31208\n15430 23111\n32774 49207\n67335 100000\n69743 100000\n48268 72476\n51177 76797\n40006 60038\n62520 93797\n205 313\n24318 36500\n22153 33276\n39215 58856\n18892 28342\n89018 100000\n92470 100000\n70561 100000\n67474 100000\n7228 10858\n82845 100000\n19345 29023\n9793 14648\n70339 100000\n53059 79620\n81975 100000\n9314 13945\n53159 79770\n7427 11158\n75293 100000\n14531 21748\n41131 61751\n79265 100000\n59495 89279\n82996 100000\n90774 100000\n30518 45825\n37433 56178\n30010 45048\n25445 38179\n32251 48423\n80246 100000\n40231 60374\n96571 100000\n88446 100000\n92690 100000\n2505 3757\n63253 94878\n89379 100000\n84134 100000\n25178 37799\n49048 73658\n21126 31705\n72928 100000\n80686 100000\n69866 100000\n35781 53706\n21542 32329\n63188 94784\n90028 100000\n81329 100000\n45375 68127\n97349 100000\n34172 51311\n71159 100000\n13837 20707\n6203 9318\n58978 88505\n45076 67691\n416 633\n59156 88767\n55719 83594\n93821 100000\n93449 100000\n65414 98122\n88192 100000\n33338 50047\n26494 39751\n32308 48510\n49095 73730\n83143 100000\n54750 82125\n73519 100000\n5252 7893\n50483 75761\n18627 27954\n36593 54917\n41680 62589\n83563 100000\n81110 100000\n34366 51598\n81416 100000\n63515 95268\n80329 100000\n82757 100000\n41393 62154\n39769 59690\n70066 100000\n88059 100000\n83233 100000\n22440 33694\n45698 68612\n20138 30213\n83022 100000\n94207 100000\n84477 100000\n62594 93913\n92124 100000\n55934 83910\n71287 100000\n60407 90635\n15143 22668\n18724 28101\n63459 95181\n13844 20716\n9301 13925\n60009 90041\n60485 90749\n85149 100000\n3291 4947\n26336 39514\n83898 100000\n92447 100000\n6143 9232\n3445 5189\n35423 53175\n39448 59206\n34349 51572\n20386 30592\n42037 63129\n30813 46266\n30946 46468\n36483 54749\n27949 41955\n22666 34030\n7811 11730\n1984 2974\n75747 100000\n52548 78854\n23878 35837\n58060 87107\n91953 100000\n30635 46003\n30324 45525\n70285 100000\n74095 100000\n60835 91263\n87036 100000\n72917 100000\n87818 100000\n47392 71181\n61976 92965\n59981 90000\n5921 8900\n671 1015\n79070 100000\n51127 76728\n21148 31735\n1819 2730\n65536 98305\n66117 99181\n7703 11571\n85006 100000\n2210 3315\n11287 16897\n83426 100000\n10855 16249\n98915 100000\n29867 44830\n32919 49421\n13243 19843\n72727 100000\n48182 72356\n79906 100000\n98712 100000\n35734 53631\n92482 100000\n75902 100000\n70267 100000\n60007 90038\n34124 51246\n18099 27152\n57491 86247\n57954 86944\n28 44\n11847 17744\n7250 10888\n44461 66767\n58556 87879\n55077 82618\n30631 45997\n20423 30650\n85582 100000\n4424 6657\n28513 42809\n72076 100000\n73213 100000\n25946 38912\n22267 33449\n32035 48099\n53604 80438\n66112 99174\n21945 32962\n79499 100000\n46280 69495\n67207 100000\n67732 100000\n99712 100000\n80912 100000\n17839 26768\n72942 100000\n68826 100000\n35259 52935\n42713 64159\n21289 31949\n74066 100000\n38276 57436\n57830 86757\n87521 100000\n11658 17451\n85609 100000\n25585 38385\n36358 54563\n37477 56243\n43380 65161\n59788 89720\n84866 100000\n91765 100000\n38712 58097\n33324 50028\n32257 48434\n69327 100000\n16431 24604\n43232 64943\n90485 100000\n15803 23660\n29649 44505\n33590 50426\n17951 26938\n44809 67280\n59618 89458\n25351 38044\n92477 100000\n26283 39434\n33986 51039\n84449 100000\n38056 57110\n11192 16755\n81098 100000\n66866 100000\n39704 59589\n41363 62107\n10939 16373\n11351 16991\n74007 100000\n74675 100000\n39496 59279\n57629 86454\n77703 100000\n91757 100000\n30433 45693\n24115 36208\n27089 40648\n50549 75861\n50489 75771\n38935 58431\n55531 83315\n90807 100000\n76256 100000\n820 1233\n37858 56821\n66182 99283\n73251 100000\n10831 16211\n13290 19914\n68474 100000\n37826 56771\n52949 79462\n80919 100000\n66356 99537\n41027 61587\n57334 86007\n2987 4494\n25241 37897\n27720 41604\n67055 100000\n80804 100000\n25260 37924\n59865 89826\n43498 65331\n39838 59791\n51636 77491\n40513 60797\n96293 100000\n88150 100000\n15536 23271\n41763 62720\n87490 100000\n66605 99900\n47098 70737\n79533 100000\n1134 1688\n84951 100000\n40750 61166\n11649 17437\n96385 100000\n27515 41298\n58801 88247\n68866 100000\n19695 29556\n56102 84168\n35395 53130\n23407 35136\n80358 100000\n78304 100000\n41624 62507\n95460 100000\n89606 100000\n14069 21056\n63540 95307\n32390 48630\n71635 100000\n91224 100000\n2571 3857\n32411 48664\n49927 74943\n54576 81868\n34535 51847\n9143 13684\n51259 76923\n16749 25094\n4080 6151\n29857 44812\n5389 8101\n73746 100000\n14959 22393\n90154 100000\n95097 100000\n85760 100000\n96166 100000\n39576 59400\n96823 100000\n12960 19419\n25331 38020\n81413 100000\n50134 75245\n45740 68675\n77446 100000\n79233 100000\n81880 100000\n84222 100000\n99260 100000\n85523 100000\n96855 100000\n90296 100000\n56566 84870\n36715 55090\n56654 85005\n51093 76679\n67329 100000\n9408 14086\n90030 100000\n86478 100000\n88704 100000\n32736 49146\n26962 40455\n20317 30488\n11073 16576\n77717 100000\n61311 91972\n63129 94700\n87752 100000\n54417 81638\n92314 100000\n7913 11876\n61010 91520\n22182 33319\n47165 70842\n55547 83338\n31452 47225\n12193 18258\n1737 2608\n7223 10851\n38763 58176\n12160 18210\n44069 66182\n95078 100000\n66160 99246\n54909 82361\n99068 100000\n82344 100000\n47172 70852\n29420 44162\n28458 42728\n95893 100000\n11387 17042\n5172 7768\n12177 18236\n72457 100000\n20216 30336\n79131 100000\n73405 100000\n12015 18005\n75889 100000\n23849 35795\n93814 100000\n12777 19144\n16635 24928\n9828 14702\n13454 20152\n64143 96216\n86197 100000\n88532 100000\n88747 100000\n88618 100000\n51931 77932\n34289 51483\n25138 37738\n26731 40106\n45366 68115\n48394 72675\n16400 24553\n39636 59486\n23853 35800\n34992 52533\n41234 61908\n42484 63817\n36663 55016\n89206 100000\n45359 68106\n14154 21190\n53430 80170\n95907 100000\n12219 18294\n52214 78353\n70363 100000\n59578 89401\n72069 100000\n11371 17020\n1569 2347\n72956 100000\n62203 93317\n31040 46614\n38185 57305\n15106 22615\n22049 33119\n66603 99898\n28234 42391\n26352 39540\n7665 11510\n38808 58246\n40837 61301\n41295 62002\n51341 77041\n74116 100000\n51614 77454\n65531 98298\n42901 64441\n84072 100000\n37533 56327\n22098 33195\n17809 26722\n87867 100000\n70771 100000\n90993 100000\n95428 100000\n33283 49965\n75306 100000\n76919 100000\n72124 100000\n14362 21498\n11710 17536\n24999 37537\n39522 59318\n11451 17137\n73713 100000\n34021 51096\n64530 96801\n66153 99235\n1633 2443\n2253 3377\n29969 44985\n74582 100000\n1105 1645\n30693 46092\n22679 34051\n58769 88202\n99807 100000\n12451 18653\n48480 72806\n51573 77394\n94675 100000\n91895 100000\n91353 100000\n51736 77643\n30600 45949\n27191 40799\n16790 25155\n88670 100000\n59065 88633\n53955 80962\n2283 3425\n19448 29185\n31880 47865\n37336 56027\n65932 98904\n93491 100000\n20975 31475\n30950 46475\n36999 55527\n90653 100000\n73975 100000\n302 457\n31850 47819\n32977 49505\n90870 100000\n14451 21632\n6857 10298\n39752 59666\n71826 100000\n60994 91496\n82609 100000\n97990 100000\n71141 100000\n56478 84737\n61277 91922\n62050 93085\n28252 42417\n13826 20691\n98632 100000\n95074 100000\n56161 84260\n46543 69909\n81169 100000\n48656 73075\n98247 100000\n85447 100000\n41023 61580\n16268 24361\n44537 66883\n81518 100000\n3018 4538\n13313 19948\n57809 86724\n49092 73725\n14967 22405\n43210 64910\n5055 7595\n24187 36309\n65577 98366\n32904 49396\n47527 71381\n17829 26753\n7640 11476\n47265 70989\n13135 19679\n1323 1963\n96590 100000\n38989 58518\n85902 100000\n56297 84457\n66375 99568\n98040 100000\n95855 100000\n92392 100000\n60907 91370\n41766 62725\n24570 36896\n4384 6605\n7233 10867\n54727 82089\n34355 51582\n26745 40126\n81237 100000\n72246 100000\n78119 100000\n85013 100000\n13457 20156\n17404 26105\n63909 95856\n92358 100000\n28698 43083\n77258 100000\n39724 59622\n29576 44397\n64903 97352\n85717 100000\n79637 100000\n14390 21536\n10493 15692\n73451 100000\n44713 67132\n90554 100000\n69527 100000\n20558 30861\n80755 100000\n24835 37288\n29359 44074\n23861 35812\n23205 34839\n67529 100000\n57708 86571\n60116 90208\n52470 78737\n49123 73774\n2867 4305\n36287 54455\n4444 6687\n52893 79379\n12661 18970\n49351 74097\n46447 69762\n96163 100000\n45790 68748\n91385 100000\n33917 50934\n81886 100000\n63229 94844\n33903 50913\n78892 100000\n11268 16869\n74550 100000\n16340 24467\n13076 19594\n56210 84330\n86857 100000\n49664 74562\n99182 100000\n86610 100000\n250 380\n60035 90086\n96182 100000\n12575 18842\n61419 92134\n6225 9348\n15168 22706\n43887 65911\n68478 100000\n13059 19571\n68984 100000\n68690 100000\n55301 82959\n27829 41771\n65736 98610\n254 385\n40224 60362\n49482 74298\n16707 25033\n38148 57253\n83818 100000\n71016 100000\n26651 39981\n16883 25305\n61918 92879\n83195 100000\n85716 100000\n6167 9267\n98769 100000\n76387 100000\n55091 82641\n49959 74986\n89970 100000\n64018 96027\n50434 75691\n64400 96604\n21892 32885\n96820 100000\n5473 8234\n75923 100000\n58661 88047\n40813 61262\n37321 56007\n26937 40415\n24970 37495\n91917 100000\n37057 55611\n78051 100000\n74811 100000\n16089 24094\n63937 95900\n86558 100000\n90216 100000\n28204 42347\n12441 18639\n95997 100000\n82069 100000\n26161 39242\n40976 61505\n96018 100000\n88178 100000\n20596 30922\n68685 100000\n98120 100000\n654 993\n42769 64248\n60278 90436\n53260 79911\n68941 100000\n24019 36062\n21460 32207\n94213 100000\n26864 40309\n60376 90591\n11788 17653\n60324 90506\n72973 100000\n25795 38693\n50974 76501\n72008 100000\n25146 37751\n82232 100000\n52308 78487\n20342 30525\n21695 32572\n13156 19711\n15682 23483\n52219 78360\n93822 100000\n66379 99574\n37111 55685\n47958 72024\n38040 57088\n38169 57281\n66737 100000\n51246 76902\n67231 100000\n31238 46901\n86635 100000\n49110 73754\n30624 45985\n71948 100000\n84139 100000\n100 154\n32538 48847\n80586 100000\n98424 100000\n27700 41576\n12691 19015\n95108 100000\n89705 100000\n6988 10489\n82078 100000\n95381 100000\n95040 100000\n2356 3539\n14760 22095\n34504 51799\n91040 100000\n92593 100000\n90422 100000\n12279 18386\n18582 27889\n16149 24180\n77241 100000\n74801 100000\n97154 100000\n8142 12209\n52983 79508\n90073 100000\n11005 16475\n29586 44411\n56219 84344\n38538 57832\n85077 100000\n42569 63939\n74177 100000\n21715 32603\n20538 30831\n50193 75335\n37073 55633\n82748 100000\n51732 77637\n91783 100000\n53201 79829\n31525 47329\n54710 82065\n21856 32827\n30463 45740\n34018 51092\n99849 100000\n76138 100000\n26724 40094\n41221 61887\n17854 26790\n1166 1735\n77549 100000\n35750 53656\n27413 41132\n74719 100000\n85639 100000\n69732 100000\n89723 100000\n88457 100000\n25996 38989\n90236 100000\n56803 85216\n65739 98614\n24911 37403\n19622 29449\n59581 89405\n78817 100000\n83380 100000\n457 694\n96204 100000\n63980 95969\n82038 100000\n2349 3529\n60956 91441\n73121 100000\n36228 54362\n75964 100000\n60577 90883\n77283 100000\n40624 60971\n83508 100000\n36421 54657\n79671 100000\n11958 17920\n43610 65495\n33795 50741\n28385 42618\n62790 94197\n1472 2205\n57102 85672\n93097 100000\n70145 100000\n35098 52689\n7355 11047\n1529 2289\n65635 98457\n93053 100000\n33740 50658\n34045 51134\n32009 48059\n26695 40051\n84265 100000\n96707 100000\n99326 100000\n7966 11951\n37828 56774\n96257 100000\n18688 28045\n79273 100000\n78290 100000\n320 488\n7056 10595\n89026 100000\n82901 100000\n84740 100000\n87689 100000\n18667 28015\n87508 100000\n21195 31808\n70474 100000\n78116 100000\n99995 100000\n82937 100000\n18822 28241\n77880 100000\n99138 100000\n94575 100000\n28142 42250\n53026 79573\n74039 100000\n9742 14569\n17669 26509\n99253 100000\n6129 9210\n9013 13487\n97708 100000\n98325 100000\n20899 31366\n9750 14582\n97429 100000\n29941 44938\n77988 100000\n34562 51885\n34046 51135\n34538 51851\n23028 34574\n79417 100000\n57189 85799\n17747 26629\n45148 67794\n4909 7377\n13347 19999\n80201 100000\n7578 11381\n21388 32099\n18115 27179\n85298 100000\n27813 41747\n11866 17773\n93748 100000\n97814 100000\n83836 100000\n65956 98942\n22556 33873\n69523 100000\n68912 100000\n19471 29221\n575 868\n26303 39464\n24988 37524\n3780 5687\n91797 100000\n15622 23394\n42838 64351\n48158 72318\n26682 40030\n6421 9645\n92848 100000\n17928 26907\n15044 22522\n85480 100000\n1224 1819\n30614 45969\n7209 10827\n74805 100000\n29338 44044\n55738 83621\n17208 25808\n26425 39650\n62838 94271\n53287 79951\n38202 57326\n83018 100000\n22491 33773\n86903 100000\n36502 54779\n18838 28268\n59699 89584\n47726 71680\n12600 18879\n38121 57214\n34456 51731\n84482 100000\n48866 73385\n28841 43297\n20590 30912\n63872 95800\n23118 34713\n39973 59992\n60207 90340\n87439 100000\n50685 76060\n4427 6663\n86715 100000\n19035 28555\n8073 12107\n20559 30862\n64826 97236\n89962 100000\n99185 100000\n7464 11214\n29986 45008\n10080 15071\n49218 73913\n14409 21565\n78028 100000\n6275 9426\n10669 15961\n99704 100000\n32200 48344\n7019 10538\n91613 100000\n4791 7200\n88061 100000\n57081 85644\n24716 37111\n20768 31166\n67433 100000\n87353 100000\n52050 78116\n9163 13718\n75119 100000\n24502 36793\n95709 100000\n53081 79654\n94580 100000\n66733 100000\n91576 100000\n41550 62393\n5991 9001\n38410 57634\n74055 100000\n2836 4255\n89734 100000\n31239 46902\n51281 76955\n43097 64740\n66697 100000\n44266 66481\n5858 8810\n41392 62153\n88984 100000\n62154 93245\n176 270\n97752 100000\n89580 100000\n57681 86530\n37779 56698\n89356 100000\n63367 95047\n16053 24038\n41035 61599\n17737 26612\n64748 97122\n69848 100000\n89666 100000\n81517 100000\n14975 22416\n42311 63543\n39385 59116\n40922 61430\n84576 100000\n57747 86626\n68553 100000\n92251 100000\n37613 56455\n90089 100000\n1190 1773\n87249 100000\n89136 100000\n22553 33869\n30676 46066\n64168 96252\n5205 7817\n99372 100000\n51063 76632\n44523 66860\n29603 44434\n66832 100000\n47083 70715\n7918 11881\n9573 14322\n5289 7953\n31939 47951\n39418 59158\n74584 100000\n23614 35450\n89354 100000\n58957 88476\n32177 48306\n82047 100000\n49642 74531\n67155 100000\n14415 21575\n6854 10293\n99367 100000\n12624 18915\n57121 85698\n13194 19771\n50482 75760\n32957 49474\n99005 100000\n27893 41870\n62617 93944\n76518 100000\n56282 84435\n59952 89962\n7894 11851\n63733 95592\n12485 18703\n22944 34446\n42980 64566\n60959 91446\n6900 10362\n17729 26600\n11821 17706\n89023 100000\n10318 15426\n7014 10530\n33498 50286\n80475 100000\n95650 100000\n89423 100000\n97025 100000\n9135 13670\n16813 25195\n51189 76817\n68833 100000\n53557 80365\n54299 81477\n18134 27203\n47953 72018\n72497 100000\n62575 93886\n31018 46578\n56789 85194\n33739 50657\n78914 100000\n5637 8482\n73289 100000\n55685 83541\n78653 100000\n32393 48635\n22684 34057\n52127 78229\n14432 21600\n6830 10252\n29020 43575\n87649 100000\n24582 36913\n78269 100000\n87160 100000\n20361 30554\n51877 77854\n1777 2668\n62357 93549\n92101 100000\n37768 56683\n53639 80488\n34842 52314\n8454 12671\n71598 100000\n75841 100000\n7117 10680\n46398 69685\n64924 97387\n59748 89660\n48669 73094\n17485 26226\n28417 42666\n91175 100000\n39253 58913\n6715 10081\n65252 97876\n69182 100000\n94576 100000\n70791 100000\n41728 62667\n2989 4498\n34238 51406\n34708 52109\n25009 37550\n38669 58027\n53586 80410\n9658 14441\n38449 57692\n83003 100000\n40568 60884\n6245 9378\n29068 43643\n32243 48410\n86100 100000\n75799 100000\n62270 93419\n28171 42293\n49298 74023\n19727 29602\n64345 96522\n53790 80719\n49601 74471\n35579 53409\n71209 100000\n26396 39605\n73006 100000\n89764 100000\n61593 92398\n59005 88547\n35295 52985\n3211 4831\n68003 100000\n55202 82815\n11456 17147\n5554 8355\n89129 100000\n80866 100000\n31674 47544\n74791 100000\n10918 16341\n31186 46827\n17145 25706\n62224 93349\n92807 100000\n89283 100000\n50578 75904\n41543 62382\n13091 19615\n465 706\n81246 100000\n74916 100000\n30865 46348\n44965 67524\n71642 100000\n13480 20190\n48990 73573\n61176 91772\n73838 100000\n22158 33283\n51946 77954\n68610 100000\n25073 37640\n8597 12878\n44814 67288\n66491 99737\n56201 84320\n30105 45188\n86881 100000\n20229 30355\n80704 100000\n427 651\n24475 36748\n53696 80573\n90062 100000\n69873 100000\n13082 19602\n48490 72824\n25237 37890\n64254 96378\n46956 70519\n27111 40682\n72586 100000\n3828 5759\n97010 100000\n74990 100000\n14015 20978\n43288 65026\n66565 99844\n96848 100000\n77240 100000\n50607 75946\n99408 100000\n13165 19725\n69728 100000\n76327 100000\n74483 100000\n90338 100000\n83168 100000\n52732 79133\n19845 29779\n23534 35334\n7134 10705\n62079 93129\n24974 37501\n38031 57076\n34903 52405\n58427 87681\n51633 77486\n40942 61459\n36616 54948\n206 314\n43025 64632\n97572 100000\n51222 76864\n28926 43430\n86554 100000\n44198 66382\n72526 100000\n74751 100000\n80091 100000\n91389 100000\n66054 99084\n31883 47868\n48418 72712\n12100 18121\n49439 74230\n91658 100000\n95319 100000\n92802 100000\n71864 100000\n62567 93873\n66313 99469\n36735 55117\n45559 68402\n14585 21833\n9243 13837\n21893 32886\n47038 70645\n6918 10388\n98259 100000\n29026 43582\n13093 19619\n45938 68975\n49991 75036\n94272 100000\n84947 100000\n33789 50732\n49429 74212\n35880 53856\n11267 16868\n44433 66729\n45149 67796\n74255 100000\n22887 34358\n11712 17539\n49777 74729\n23482 35254\n72574 100000\n8123 12177\n67969 100000\n82817 100000\n78815 100000\n55204 82818\n7931 11899\n56907 85373\n1594 2386\n87169 100000\n1191 1774\n7520 11297\n7454 11201\n48886 73414\n72931 100000\n71696 100000\n67726 100000\n5426 8158\n97789 100000\n84268 100000\n2667 4004\n58618 87975\n36566 54875\n32563 48886\n60162 90273\n18570 27870\n86642 100000\n48042 72153\n91275 100000\n8166 12247\n69412 100000\n25896 38835\n60497 90767\n28262 42436\n95070 100000\n56146 84236\n65681 98524\n32464 48748\n63982 95972\n38126 57221\n90484 100000\n55518 83292\n21302 31970\n41607 62482\n27884 41855\n36647 54993\n23824 35761\n83798 100000\n64286 96433\n80734 100000\n45629 68509\n18405 27621\n91654 100000\n38053 57107\n79389 100000\n22232 33395\n50084 75170\n85768 100000\n39710 59600\n90882 100000\n22652 34009\n97185 100000\n33190 49821\n49168 73844\n94919 100000\n97093 100000\n91559 100000\n84387 100000\n800 1201\n22044 33113\n81051 100000\n92595 100000\n90895 100000\n24150 36258\n92359 100000\n47401 71194\n70865 100000\n13855 20734\n3738 5625\n92109 100000\n35644 53505\n36639 54981\n95103 100000\n85099 100000\n55193 82802\n84868 100000\n77489 100000\n68944 100000\n89440 100000\n67564 100000\n16347 24476\n35560 53379\n22543 33855\n79585 100000\n18726 28103\n9637 14412\n28635 42994\n46174 69330\n6650 9989\n39623 59467\n77023 100000\n59436 89192\n9306 13932\n35529 53333\n42251 63447\n81247 100000\n17724 26594\n47771 71743\n41737 62679\n3890 5857\n20168 30258\n75933 100000\n60670 91019\n70535 100000\n97867 100000\n58307 87499\n93523 100000\n36385 54604\n90363 100000\n12749 19098\n84037 100000\n27659 41510\n46344 69593\n14113 21125\n29712 44597\n64105 96158\n42414 63710\n12521 18763\n82031 100000\n57751 86631\n37191 55811\n57842 86777\n86763 100000\n65732 98605\n35171 52800\n65722 98590\n70742 100000\n74901 100000\n74129 100000\n66551 99824\n976 1460\n34323 51539\n16963 25428\n83790 100000\n33137 49746\n14006 20962\n54051 81106\n69130 100000\n85917 100000\n6638 9967\n30293 45480\n71261 100000\n53413 80144\n97311 100000\n4805 7220\n89733 100000\n88461 100000\n88723 100000\n78792 100000\n15695 23502\n74300 100000\n43602 65483\n69127 100000\n75714 100000\n4198 6320\n56229 84357\n50196 75339\n8612 12899\n74140 100000\n57890 86850\n16086 24090\n9354 14006\n4914 7385\n8494 12730\n2087 3127\n92634 100000\n29055 43624\n68457 100000\n4369 6580\n45564 68410\n31892 47881\n74849 100000\n85726 100000\n62162 93257\n49177 73857\n13592 20353\n89976 100000\n59009 88554\n9765 14605\n23134 34735\n24337 36532\n9299 13921\n90208 100000\n84992 100000\n81251 100000\n39712 59603\n13379 20050\n8572 12840\n59363 89082\n46606 70003\n54520 81790\n52463 78726\n6418 9640\n46507 69855\n41840 62837\n22618 33966\n22558 33876\n38379 57583\n70602 100000\n3506 5279\n27520 41306\n10193 15238\n80452 100000\n25617 38430\n46555 69929\n61676 92518\n62614 93940\n94112 100000\n34203 51358\n49308 74036\n9156 13705\n35828 53777\n46704 70148\n86936 100000\n15132 22648\n52338 78536\n51526 77321\n91586 100000\n58550 87869\n82821 100000\n77644 100000\n82207 100000\n5986 8993\n46978 70549\n29926 44915\n96282 100000\n89029 100000\n63103 94662\n48610 73007\n15525 23254\n47446 71262\n70013 100000\n30326 45529\n80482 100000\n67013 100000\n19677 29529\n50356 75581\n65823 98734\n32677 49059\n87915 100000\n51672 77551\n32907 49401\n72770 100000\n10850 16242\n48498 72837\n1595 2387\n74227 100000\n13050 19557\n9445 14141\n80655 100000\n22250 33425\n32868 49343\n46285 69503\n73545 100000\n50381 75616\n20745 31130\n32504 48802\n61192 91793\n94876 100000\n82884 100000\n97015 100000\n9152 13700\n63637 95450\n81432 100000\n25697 38545\n88185 100000\n68481 100000\n23837 35778\n81561 100000\n85324 100000\n67891 100000\n12944 19396\n613 926\n77248 100000\n43955 66010\n42124 63256\n76142 100000\n73764 100000\n59447 89209\n88260 100000\n2021 3029\n4341 6538\n41630 62516\n23602 35431\n78906 100000\n75499 100000\n60217 90353\n10808 16175\n21615 32448\n37725 56616\n73449 100000\n79017 100000\n87807 100000\n33380 50108\n18002 27007\n41920 62953\n675 1022\n75229 100000\n38780 58205\n73388 100000\n7322 10999\n22208 33357\n95004 100000\n32590 48925\n2296 3444\n18683 28039\n3066 4609\n550 830\n69201 100000\n36944 55439\n9711 14522\n25924 38879\n1279 1898\n77008 100000\n90883 100000\n21458 32204\n45064 67676\n30472 45753\n81467 100000\n10820 16191\n54241 81388\n30973 46511\n2873 4315\n44327 66574\n17924 26900\n15164 22700\n74012 100000\n5774 8682\n46791 70273\n5024 7549\n56572 84880\n66458 99690\n87734 100000\n27833 41775\n38824 58267\n85803 100000\n93854 100000\n7780 11683\n91527 100000\n60809 91221\n85758 100000\n26792 40200\n5543 8340\n66362 99546\n5977 8980\n72235 100000\n78603 100000\n88683 100000\n92960 100000\n47407 71203\n16567 24824\n26306 39468\n97915 100000\n70018 100000\n78982 100000\n16223 24291\n88856 100000\n65502 98256\n40162 60273\n32591 48927\n41681 62591\n13735 20554\n95479 100000\n18819 28238\n65199 97796\n76879 100000\n94885 100000\n2638 3963\n19816 29740\n69579 100000\n65105 97656\n70741 100000\n19362 29049\n6209 9326\n16060 24050\n47269 70995\n79414 100000\n47661 71582\n6314 9483\n41276 61973\n26380 39582\n4540 6828\n86017 100000\n58909 88412\n8840 13234\n41362 62105\n68146 100000\n97931 100000\n9081 13592\n84637 100000\n82193 100000\n76323 100000\n66860 100000\n17047 25553\n42549 63909\n1305 1935\n82189 100000\n56212 84334\n33254 49921\n46098 69213\n84646 100000\n31219 46875\n10209 15264\n50522 75818\n42822 64331\n41282 61983\n12974 19440\n72522 100000\n85862 100000\n71147 100000\n87829 100000\n31197 46841\n29663 44521\n20299 30461\n88720 100000\n15990 23942\n54496 81757\n73803 100000\n40115 60206\n4015 6055\n60344 90535\n81553 100000\n28391 42628\n50584 75913\n40889 61385\n68893 100000\n68783 100000\n89750 100000\n21848 32814\n82439 100000\n33631 50487\n92367 100000\n66083 99128\n15733 23554\n8056 12089\n83435 100000\n79713 100000\n88676 100000\n67873 100000\n27012 40525\n11620 17391\n34741 52158\n13244 19845\n13684 20479\n57824 86746\n70665 100000\n41191 61842\n41076 61662\n94205 100000\n12213 18285\n19783 29687\n17354 26032\n58845 88313\n47232 70939\n6134 9218\n35869 53837\n65640 98462\n57405 86115\n20455 30705\n36736 55118\n94504 100000\n9695 14499\n34033 51115\n92108 100000\n92242 100000\n43263 64987\n33484 50266\n71914 100000\n59983 90002\n97731 100000\n38064 57123\n30821 46279\n70034 100000\n6648 9985\n22520 33818\n51034 76591\n7820 11743\n81408 100000\n52541 78844\n19239 28863\n59328 89027\n90969 100000\n16414 24576\n55866 83808\n50638 75992\n98207 100000\n4672 7025\n87908 100000\n42598 63983\n12744 19092\n74006 100000\n53014 79556\n95131 100000\n34722 52132\n53904 80887\n17906 26872\n72121 100000\n69801 100000\n66741 100000\n42633 64037\n61001 91507\n44289 66517\n26599 39907\n2797 4203\n41231 61902\n24341 36539\n91384 100000\n77857 100000\n88038 100000\n33612 50457\n72872 100000\n66017 99032\n74984 100000\n98436 100000\n90716 100000\n24473 36744\n13679 20472\n41013 61565\n52870 79346\n7415 11139\n12121 18153\n1031 1543\n393 595\n95436 100000\n72536 100000\n54826 82237\n48181 72354\n99900 100000\n66638 99945\n97986 100000\n10970 16420\n7428 11160\n79146 100000\n76291 100000\n19752 29637\n12588 18860\n63336 95001\n65606 98411\n66550 99823\n9852 14734\n32511 48811\n94966 100000\n71524 100000\n31430 47192\n5631 8473\n46395 69680\n1958 2935\n42731 64187\n40493 60769\n90315 100000\n3276 4924\n41568 62420\n57576 86374\n99922 100000\n50898 76390\n68633 100000\n549 828\n13771 20608\n42347 63604\n67996 100000\n81930 100000\n2180 3268\n87289 100000\n44366 66631\n41019 61573\n36451 54703\n66319 99479\n23315 35004\n82994 100000\n3488 5251\n87549 100000\n13804 20655\n40043 60096\n70122 100000\n81489 100000\n44481 66796\n42362 63626\n41706 62630\n80954 100000\n76020 100000\n45887 68898\n7197 10808\n42283 63496\n75160 100000\n18121 27187\n69632 100000\n47902 71947\n36597 54923\n38587 57904\n84983 100000\n25661 38496\n30339 45547\n87271 100000\n64429 96653\n2144 3211\n37147 55737\n60833 91261\n27389 41099\n45140 67782\n77042 100000\n86582 100000\n89496 100000\n48344 72595\n7694 11558\n99628 100000\n37932 56932\n64276 96416\n59001 88543\n69892 100000\n68917 100000\n10379 15517\n99639 100000\n84585 100000\n24192 36317\n63259 94888\n14421 21584\n59819 89765\n83583 100000\n91812 100000\n99728 100000\n73208 100000\n58130 87222\n28854 43319\n38854 58311\n445 677\n21771 32692\n57196 85809\n19839 29771\n75954 100000\n22002 33048\n2018 3023\n41335 62064\n76450 100000\n27341 41023\n36110 54196\n18959 28445\n28980 43511\n88255 100000\n51151 76760\n5457 8208\n66337 99507\n79398 100000\n73836 100000\n53793 80722\n38599 57924\n70427 100000\n1292 1915\n98340 100000\n98618 100000\n83731 100000\n1029 1540\n16473 24667\n78322 100000\n42657 64071\n64702 97054\n98604 100000\n66280 99422\n18478 27729\n47064 70687\n45351 68093\n57443 86167\n1298 1926\n67895 100000\n57118 85694\n95464 100000\n68285 100000\n85459 100000\n69778 100000\n15061 22546\n74245 100000\n29810 44736\n14642 21916\n19203 28810\n33212 49854\n34176 51318\n41081 61669\n97446 100000\n76336 100000\n67910 100000\n69111 100000\n11485 17189\n56150 84243\n7059 10599\n74558 100000\n29252 43921\n6777 10179\n37181 55794\n99867 100000\n89563 100000\n29118 43719\n56226 84352\n19356 29040\n81633 100000\n47572 71449\n2117 3172\n59104 88691\n29495 44273\n95491 100000\n74828 100000\n79330 100000\n44735 67164\n70055 100000\n90237 100000\n75300 100000\n4916 7387\n82320 100000\n81508 100000\n69105 100000\n1559 2330\n8148 12219\n54539 81818\n47161 70836\n33755 50680\n56298 84459\n43188 64877\n88766 100000\n87587 100000\n92487 100000\n15468 23174\n34601 51942\n44655 67051\n94432 100000\n46080 69187\n12529 18773\n37674 56541\n12084 18100\n71987 100000\n9213 13793\n35236 52899\n31297 46988\n89847 100000\n91814 100000\n84276 100000\n60536 90821\n89738 100000\n92889 100000\n51328 77020\n85161 100000\n28419 42669\n95311 100000\n86838 100000\n55431 83160\n47730 71686\n4321 6503\n2736 4110\n71654 100000\n70780 100000\n89651 100000\n72614 100000\n70490 100000\n52396 78624\n9014 13489\n48036 72147\n21979 33015\n12235 18318\n70252 100000\n38755 58164\n30820 46277\n62065 93108\n42678 64106\n69401 100000\n51701 77591\n48299 72528\n4008 6045\n61636 92462\n84765 100000\n58996 88536\n85034 100000\n26394 39603\n10161 15193\n65099 97646\n1301 1929\n16748 25093\n84502 100000\n97035 100000\n75916 100000\n56404 84623\n17611 26417\n85679 100000\n89174 100000\n22648 34003\n74377 100000\n73273 100000\n83974 100000\n34109 51229\n70972 100000\n82028 100000\n89196 100000\n5677 8541\n87601 100000\n83146 100000\n3483 5243\n80820 100000\n34227 51391\n99752 100000\n43553 65408\n51380 77099\n65792 98691\n69006 100000\n18720 28095\n13820 20681\n96505 100000\n24598 36935\n55566 83365\n98909 100000\n26744 40124\n42076 63186\n66291 99441\n92338 100000\n69819 100000\n3292 4948\n73077 100000\n55563 83361\n87290 100000\n11705 17526\n65868 98810\n32084 48173\n66038 99061\n14912 22320\n98583 100000\n19548 29340\n57490 86246\n57502 86264\n57611 86426\n79931 100000\n93299 100000\n46903 70440\n99939 100000\n38773 58193\n50070 75150\n68279 100000\n12594 18870\n73460 100000\n31347 47066\n37236 55879\n19519 29297\n30325 45527\n3011 4528\n40633 60986\n45452 68246\n17655 26488\n85529 100000\n17585 26374\n25122 37713\n11129 16659\n59954 89964\n39306 58990\n25209 37846\n65300 97955\n36636 54976\n25722 38580\n5400 8117\n9731 14551\n14954 22384\n78037 100000\n68313 100000\n72377 100000\n59750 89663\n75935 100000\n63525 95281\n40682 61062\n15384 23040\n73796 100000\n7954 11935\n42918 64467\n83294 100000\n11963 17928\n69244 100000\n59891 89867\n87135 100000\n10903 16322\n5278 7932\n7842 11776\n36290 54461\n45464 68264\n89840 100000\n54650 81975\n47650 71567\n53349 80042\n73717 100000\n86159 100000\n47393 71183\n10303 15407\n89861 100000\n62539 93831\n24184 36305\n97157 100000\n54580 81875\n73328 100000\n82527 100000\n6370 9566\n62482 93740\n45655 68545\n88689 100000\n36786 55191\n79236 100000\n98252 100000\n58802 88249\n45688 68597\n48168 72333\n8249 12373\n44509 66841\n94068 100000\n4582 6894\n81723 100000\n52855 79323\n19998 29998\n78583 100000\n41482 62286\n83549 100000\n5923 8902\n47085 70718\n14166 21208\n21899 32897\n52449 78705\n46122 69247\n34274 51460\n87783 100000\n46090 69200\n31803 47749\n19135 28710\n42679 64108\n36531 54823\n21082 31638\n10342 15461\n67237 100000\n58513 87813\n54941 82411\n77999 100000\n17216 25821\n72237 100000\n52558 78872\n92453 100000\n33418 50161\n81939 100000\n50762 76183\n14195 21255\n26399 39611\n64873 97309\n62200 93312\n67848 100000\n61022 91538\n16550 24795\n54014 81055\n66069 99108\n8783 13152\n94981 100000\n87144 100000\n68570 100000\n1230 1827\n80368 100000\n10408 15559\n11742 17580\n91862 100000\n43836 65831\n16505 24719\n99183 100000\n65892 98846\n38941 58440\n87548 100000\n10102 15107\n82795 100000\n94897 100000\n82423 100000\n30616 45972\n99189 100000\n86414 100000\n46719 70169\n13232 19825\n22799 34227\n76716 100000\n22162 33288\n34730 52142\n86492 100000\n54795 82191\n86925 100000\n28324 42525\n67503 100000\n32399 48644\n98306 100000\n68378 100000\n26843 40278\n28551 42866\n25468 38212\n49900 74909\n42584 63960\n52200 78333\n65558 98337\n85513 100000\n8575 12845\n77913 100000\n51954 77969\n17412 26116\n61833 92754\n84686 100000\n54891 82332\n76173 100000\n98297 100000\n49081 73707\n16648 24946\n4652 6996\n34687 52077\n36455 54708\n68217 100000\n72883 100000\n86411 100000\n9049 13543\n97372 100000\n60310 90485\n27194 40804\n49289 74013\n4564 6867\n28133 42234\n45589 68449\n90021 100000\n96340 100000\n96482 100000\n5150 7736\n12547 18802\n94098 100000\n79959 100000\n14373 21516\n24513 36809\n57391 86094\n72477 100000\n54939 82409\n64460 96704\n42703 64142\n68855 100000\n79880 100000\n73044 100000\n65860 98799\n16289 24393\n68715 100000\n29368 44085\n20331 30510\n64579 96869\n8344 12509\n43778 65745\n18010 27016\n1849 2779\n97337 100000\n44093 66218\n43851 65854\n63524 95279\n64175 96261\n36279 54444\n91093 100000\n81770 100000\n4209 6333\n65825 98738\n72573 100000\n70235 100000\n74046 100000\n67015 100000\n43996 66075\n46162 69310\n61302 91959\n77980 100000\n37769 56684\n98135 100000\n83141 100000\n38987 58515\n45414 68184\n20780 31185\n91761 100000\n95693 100000\n78841 100000\n46518 69869\n92769 100000\n1985 2975\n30601 45950\n69405 100000\n87742 100000\n32609 48956\n2220 3330\n57537 86314\n69513 100000\n7176 10774\n19978 29973\n18178 27273\n69724 100000\n2005 3005\n39482 59259\n62136 93216\n87031 100000\n45169 67823\n9212 13792\n33347 50060\n81500 100000\n40933 61447\n76042 100000\n67215 100000\n87090 100000\n72947 100000\n63363 95040\n2936 4417\n47286 71022\n88541 100000\n83579 100000\n50158 75284\n94836 100000\n82636 100000\n26304 39465\n29939 44934\n5452 8201\n13273 19890\n32525 48829\n9090 13607\n39038 58589\n89795 100000\n31732 47631\n27633 41468\n75074 100000\n86842 100000\n2069 3097\n29303 43989\n51355 77062\n11951 17911\n40354 60565\n47450 71269\n85164 100000\n6105 9176\n62942 94422\n63074 94616\n84158 100000\n13620 20388\n49785 74739\n24649 37013\n25631 38451\n86332 100000\n47520 71370\n40762 61186\n16136 24163\n96816 100000\n16909 25344\n53877 80842\n59417 89165\n99491 100000\n61701 92556\n6853 10292\n51107 76699\n77937 100000\n85754 100000\n38072 57136\n33206 49845\n34241 51410\n62012 93022\n75545 100000\n71312 100000\n7061 10603\n40894 61392\n78476 100000\n44930 67471\n80523 100000\n19349 29028\n51110 76704\n18278 27423\n19828 29757\n88441 100000\n93581 100000\n30292 45479\n28805 43240\n80469 100000\n85272 100000\n40969 61494\n13913 20821\n75487 100000\n34777 52214\n14462 21647\n95246 100000\n17090 25618\n22471 33743\n15612 23383\n7932 11901\n69927 100000\n92974 100000\n72361 100000\n72964 100000\n88851 100000\n72563 100000\n55816 83732\n77185 100000\n52097 78186\n67314 100000\n36539 54836\n86251 100000\n5690 8562\n64376 96565\n65923 98891\n63391 95083\n71701 100000\n96832 100000\n67235 100000\n94547 100000\n90043 100000\n20375 30574\n11409 17073\n2735 4109\n96524 100000\n41617 62498\n53195 79821\n4609 6931\n96798 100000\n80104 100000\n1313 1947\n91042 100000\n88640 100000\n92182 100000\n42749 64218\n1177 1752\n18903 28356\n45580 68434\n80439 100000\n49354 74102\n44472 66784\n16210 24273\n54285 81456\n6246 9380\n55448 83185\n74233 100000\n38908 58390\n97911 100000\n74097 100000\n98893 100000\n30641 46013\n5312 7985\n12514 18751\n40180 60297\n6506 9772\n87282 100000\n26373 39571\n85080 100000\n39594 59430\n58871 88357\n28605 42948\n37986 57013\n46617 70020\n3284 4938\n890 1337\n69943 100000\n33957 50993\n96450 100000\n92424 100000\n73666 100000\n19964 29956\n28399 42638\n31386 47123\n95593 100000\n28278 42460\n55982 83986\n71374 100000\n14022 20991\n25087 37662\n20298 30459\n90248 100000\n95555 100000\n12876 19294\n68504 100000\n78071 100000\n49952 74977\n17771 26667\n55603 83420\n1059 1582\n68044 100000\n9986 14929\n9347 13995\n78939 100000\n98706 100000\n28105 42193\n61070 91608\n44402 66686\n97094 100000\n70593 100000\n73592 100000\n46539 69902\n50076 75158\n62403 93618\n10365 15494\n82264 100000\n12393 18563\n36749 55138\n95459 100000\n54424 81649\n36042 54098\n55935 83912\n23472 35238\n67477 100000\n31470 47253\n33177 49803\n72600 100000\n10407 15558\n20697 31064\n80811 100000\n77680 100000\n33660 50533\n13284 19906\n93649 100000\n28410 42653\n14301 21406\n31209 46859\n92703 100000\n33048 49616\n38210 57337\n27752 41653\n8153 12227\n15091 22592\n66131 99204\n91943 100000\n87470 100000\n62445 93683\n9787 14640\n74569 100000\n87306 100000\n90064 100000\n68219 100000\n91782 100000\n55624 83455\n97695 100000\n11433 17110\n76911 100000\n35148 52764\n94037 100000\n51268 76936\n54784 82176\n56567 84872\n37058 55613\n58270 87440\n14380 21524\n7098 10655\n64764 97146\n75808 100000\n9501 14226\n41190 61840\n45710 68630\n42451 63767\n50982 76513\n26899 40359\n5433 8171\n18983 28482\n47202 70896\n62341 93524\n70338 100000\n86101 100000\n87006 100000\n70139 100000\n43903 65935\n40027 60073\n57935 86915\n50975 76502\n17482 26221\n1340 1989\n76786 100000\n54276 81440\n38395 57610\n52082 78165\n32194 48333\n86409 100000\n53570 80386\n11428 17101\n15699 23506\n64531 96802\n26812 40229\n89226 100000\n28764 43179\n88206 100000\n46891 70423\n30113 45201\n85697 100000\n50246 75415\n3583 5394\n35289 52977\n56627 84964\n57823 86745\n46349 69603\n35507 53299\n64248 96369\n72393 100000\n86205 100000\n95591 100000\n89485 100000\n3841 5781\n98378 100000\n19769 29665\n59959 89971\n49387 74146\n56444 84689\n55451 83191\n6373 9572\n34787 52229\n16313 24429\n52367 78578\n14433 21601\n25365 38066\n99355 100000\n25543 38320\n24792 37223\n49697 74610\n24832 37284\n55522 83300\n213 324\n70636 100000\n54178 81292\n51892 77874\n61824 92739\n50299 75494\n10972 16424\n64568 96854\n84150 100000\n35946 53954\n56351 84545\n65952 98937\n65801 98704\n3860 5812\n45242 67931\n59561 89374\n70991 100000\n24574 36901\n49816 74787\n46160 69306\n66441 99668\n95848 100000\n38436 57674\n91878 100000\n44693 67104\n30537 45853\n18895 28345\n59302 88989\n39412 59152\n36492 54764\n25090 37668\n78023 100000\n95940 100000\n13132 19675\n49515 74346\n96768 100000\n40862 61341\n79057 100000\n25752 38630\n99785 100000\n49699 74613\n42553 63916\n7659 11501\n25518 38289\n26140 39206\n21419 32148\n94361 100000\n13217 19804\n18945 28422\n17094 25623\n2597 3898\n56515 84793\n85162 100000\n4114 6200\n49554 74405\n51242 76895\n80130 100000\n35907 53896\n38337 57526\n11272 16874\n84267 100000\n5691 8563\n14629 21896\n868 1306\n88905 100000\n25814 38720\n34254 51429\n37448 56198\n76461 100000\n51080 76657\n60828 91253\n58180 87297\n51632 77485\n42929 64487\n66614 99912\n60958 91444\n13524 20257\n42663 64081\n45035 67630\n47279 71009\n25157 37767\n43990 66066\n67058 100000\n67071 100000\n46670 70099\n18169 27261\n1014 1519\n27116 40688\n89728 100000\n96441 100000\n48446 72754\n57104 85675\n33454 50216\n69816 100000\n62941 94421\n29723 44612\n83336 100000\n85170 100000\n83945 100000\n60591 90904\n67166 100000\n86440 100000\n38748 58153\n53577 80396\n83160 100000\n17292 25941\n1789 2686\n79429 100000\n74526 100000\n27632 41466\n42236 63426\n14710 22017\n55389 83090\n81026 100000\n96375 100000\n27764 41674\n78757 100000\n15125 22639\n31585 47418\n16100 24110\n26057 39087\n85113 100000\n37004 55534\n12978 19447\n82604 100000\n24583 36914\n58087 87153\n4515 6791\n19698 29561\n76967 100000\n19499 29265\n29927 44916\n23159 34773\n71436 100000\n15192 22745\n73928 100000\n98117 100000\n23376 35093\n96819 100000\n46051 69141\n89929 100000\n60681 91037\n49561 74416\n53879 80845\n65979 98978\n53645 80498\n58641 88011\n88869 100000\n23784 35698\n47358 71128\n97342 100000\n1043 1559\n4479 6737\n3898 5871\n62005 93009\n39035 58585\n71866 100000\n89744 100000\n76510 100000\n85450 100000\n11638 17419\n43795 65769\n50794 76232\n37572 56391\n35994 54021\n61391 92090\n770 1156\n88906 100000\n97600 100000\n40766 61192\n43409 65203\n24416 36655\n31086 46685\n99124 100000\n87933 100000\n3996 6026\n15034 22507\n33548 50366\n38514 57794\n81960 100000\n3524 5306\n95328 100000\n14712 22020\n25640 38465\n12232 18314\n67102 100000\n91840 100000\n77381 100000\n1467 2196\n73249 100000\n33280 49962\n34536 51848\n24435 36682\n81344 100000\n6284 9443\n63674 95504\n82495 100000\n23976 35989\n47720 71672\n54694 82038\n32116 48221\n68938 100000\n1989 2980\n64300 96453\n2141 3206\n97253 100000\n45714 68636\n47567 71441\n92038 100000\n63027 94543\n24225 36364\n21753 32664\n16740 25080\n621 937\n58385 87618\n49032 73635\n73912 100000\n31393 47134\n87187 100000\n44064 66176\n37447 56197\n32321 48530\n81727 100000\n19844 29778\n50869 76344\n94342 100000\n59477 89252\n63999 95998\n92801 100000\n65686 98532\n96024 100000\n38160 57266\n43458 65270\n20908 31380\n99768 100000\n21512 32286\n34036 51120\n68011 100000\n37669 56533\n52578 78897\n97165 100000\n2462 3694\n36056 54117\n94146 100000\n13447 20143\n79205 100000\n18503 27765\n28835 43289\n56865 85307\n31564 47387\n39322 59017\n60543 90832\n21846 32810\n97644 100000\n68416 100000\n99536 100000\n37801 56736\n9937 14864\n91202 100000\n6332 9513\n36745 55132\n86896 100000\n87736 100000\n33421 50165\n1252 1858\n45122 67756\n84880 100000\n30439 45702\n94829 100000\n54741 82108\n57108 85679\n58922 88429\n70827 100000\n31043 46619\n61191 91792\n34482 51768\n19016 28528\n52504 78790\n80209 100000\n49313 74045\n15585 23345\n75400 100000\n64290 96439\n42981 64568\n8037 12057\n75198 100000\n43794 65768\n86014 100000\n14405 21559\n10794 16156\n81657 100000\n97871 100000\n76456 100000\n28674 43049\n76141 100000\n86001 100000\n51087 76667\n34076 51181\n84849 100000\n18435 27662\n85265 100000\n59358 89074\n38348 57543\n83941 100000\n50801 76244\n76322 100000\n87190 100000\n78555 100000\n12225 18302\n98673 100000\n57871 86821\n65673 98514\n34915 52422\n58078 87136\n74249 100000\n36977 55491\n33817 50777\n54000 81031\n88571 100000\n80302 100000\n52615 78956\n17568 26348\n66073 99114\n78397 100000\n49240 73947\n39763 59682\n40549 60856\n18196 27301\n49540 74385\n64675 97014\n35822 53769\n16900 25329\n57638 86467\n89115 100000\n80497 100000\n95255 100000\n63139 94717\n98830 100000\n44720 67141\n2642 3969\n20151 30233\n19947 29930\n7050 10588\n13767 20603\n99837 100000\n38242 57383\n66657 99972\n5882 8845\n37038 55583\n89085 100000\n83263 100000\n14418 21580\n77673 100000\n54931 82397\n34471 51752\n53086 79662\n1241 1844\n29859 44816\n79845 100000\n68841 100000\n98912 100000\n22350 33563\n85344 100000\n85434 100000\n25662 38498\n63421 95125\n77170 100000\n53468 80229\n85223 100000\n79649 100000\n62608 93932\n49262 73977\n69061 100000\n46196 69362\n380 577\n41208 61870\n32013 48064\n45012 67597\n19936 29914\n90779 100000\n35618 53471\n99949 100000\n69677 100000\n42583 63959\n35739 53639\n66248 99379\n7647 11486\n62771 94170\n33819 50780\n7636 11470\n32940 49450\n89386 100000\n64025 96037\n76683 100000\n80210 100000\n74463 100000\n65007 97510\n30251 45417\n68796 100000\n38084 57154\n31962 47987\n18321 27489\n67377 100000\n43792 65765\n21551 32341\n50337 75554\n82027 100000\n81151 100000\n75447 100000\n16150 24181\n85828 100000\n67546 100000\n97373 100000\n53646 80499\n75250 100000\n18074 27114\n80263 100000\n88581 100000\n82999 100000\n88828 100000\n54099 81176\n70541 100000\n51551 77358\n64350 96530\n4749 7142\n58962 88484\n67610 100000\n61923 92887\n18494 27752\n7554 11348\n41281 61981\n80192 100000\n34843 52315\n66554 99829\n5244 7878\n26157 39236\n39251 58910\n52834 79293\n67734 100000\n12112 18139\n23314 35002\n41277 61975\n61156 91738\n32150 48269\n461 701\n14 20\n19329 28998\n99587 100000\n52769 79198\n68027 100000\n19643 29481\n72978 100000\n77064 100000\n73502 100000\n14138 21168\n41122 61737\n79579 100000\n5834 8771\n43322 65078\n22034 33097\n26562 39852\n20422 30649\n82886 100000\n82006 100000\n78741 100000\n81700 100000\n90401 100000\n7444 11187\n82103 100000\n93489 100000\n95424 100000\n68277 100000\n35217 52871\n79886 100000\n79810 100000\n39395 59132\n99179 100000\n67976 100000\n21336 32021\n18622 27947\n92967 100000\n48264 72469\n92897 100000\n32284 48474\n62077 93126\n62560 93861\n42658 64073\n99503 100000\n11019 16497\n22625 33975\n15394 23054\n51935 77936\n14920 22331\n67993 100000\n87831 100000\n55836 83763\n54321 81512\n33551 50371\n78457 100000\n29949 44952\n11189 16751\n71388 100000\n65340 98016\n29743 44643\n88052 100000\n38191 57313\n33158 49775\n99171 100000\n27138 40724\n83086 100000\n86543 100000\n80784 100000\n367 555\n73266 100000\n95800 100000\n99137 100000\n93306 100000\n57553 86337\n71402 100000\n5061 7605\n95842 100000\n8346 12511\n32416 48672\n94327 100000\n78159 100000\n273 412\n62740 94124\n97357 100000\n33134 49741\n73113 100000\n51252 76912\n59046 88606\n78930 100000\n2908 4370\n12769 19130\n97196 100000\n22830 34273\n52925 79426\n1963 2942\n69499 100000\n94663 100000\n89528 100000\n43396 65183\n97490 100000\n80841 100000\n78902 100000\n57518 86284\n13979 20925\n81590 100000\n54378 81588\n19315 28976\n9569 14317\n35045 52611\n75273 100000\n50026 75084\n462 702\n36307 54486\n42791 64283\n7569 11366\n2056 3079\n3210 4830\n79975 100000\n89816 100000\n65155 97732\n88773 100000\n23874 35830\n15240 22817\n77867 100000\n4878 7327\n61473 92220\n63314 94968\n86353 100000\n88424 100000\n18806 28220\n82421 100000\n28962 43485\n42452 63768\n92899 100000\n22423 33667\n57331 86002\n35313 53012\n99888 100000\n92014 100000\n44161 66327\n27245 40884\n14887 22284\n64297 96449\n47231 70938\n51457 77217\n95423 100000\n23834 35773\n66517 99771\n92019 100000\n3608 5431\n66766 100000\n24157 36269\n37836 56786\n95964 100000\n76862 100000\n53146 79752\n5445 8191\n98875 100000\n95622 100000\n95683 100000\n38680 58045\n87778 100000\n81557 100000\n26708 40070\n83417 100000\n27317 40988\n72498 100000\n78785 100000\n7839 11771\n77708 100000\n78718 100000\n39256 58917\n37507 56288\n7416 11141\n65054 97579\n80722 100000\n51344 77046\n75479 100000\n58817 88271\n56176 84283\n12405 18582\n57119 85695\n84319 100000\n21385 32095\n62688 94051\n20572 30882\n47850 71864\n88102 100000\n66100 99156\n92326 100000\n58788 88230\n10021 14980\n11815 17697\n95734 100000\n14406 21560\n93417 100000\n6840 10270\n81125 100000\n26232 39351\n58508 87805\n5672 8534\n19066 28604\n4869 7314\n47894 71934\n83398 100000\n72448 100000\n92577 100000\n51178 76798\n7641 11478\n61856 92790\n69853 100000\n3830 5763\n75112 100000\n3741 5631\n70100 100000\n13174 19740\n59558 89370\n6057 9100\n66128 99199\n52337 78534\n89135 100000\n15752 23584\n66702 100000\n21163 31757\n23666 35522\n98154 100000\n47640 71551\n80 122\n48678 73108\n55435 83166\n522 786\n48058 72177\n63922 95876\n56366 84567\n82434 100000\n381 578\n64083 96126\n23480 35250\n60393 90613\n88338 100000\n91486 100000\n87483 100000\n67110 100000\n30982 46527\n41269 61961\n87841 100000\n25951 38918\n65478 98222\n74128 100000\n43910 65943\n45773 68725\n60293 90458\n29152 43770\n70721 100000\n84034 100000\n57932 86912\n34110 51230\n85641 100000\n18104 27161\n75258 100000\n52332 78524\n15184 22732\n33077 49655\n50890 76375\n20902 31370\n41829 62820\n97136 100000\n94346 100000\n28313 42512\n51089 76671\n54720 82080\n66435 99657\n30238 45396\n18715 28087\n3130 4704\n92246 100000\n69301 100000\n53664 80525\n87086 100000\n23890 35856\n66857 100000\n50561 75878\n18602 27918\n13474 20182\n77322 100000\n15609 23378\n85374 100000\n44462 66769\n23276 34946\n28118 42212\n76997 100000\n4732 7116\n45054 67659\n55839 83767\n23892 35860\n89470 100000\n36879 55335\n44885 67402\n2437 3656\n72802 100000\n32320 48529\n36158 54266\n90384 100000\n35330 53038\n8038 12059\n35179 52809\n44136 66284\n39966 59981\n66642 99951\n61483 92238\n48880 73404\n46922 70469\n45699 68613\n89466 100000\n18408 27626\n65057 97584\n9676 14468\n12060 18067\n36565 54873\n34826 52289\n99394 100000\n10242 15313\n98209 100000\n38087 57158\n37190 55810\n47354 71121\n46784 70265\n33479 50256\n59242 88900\n535 808\n95305 100000\n29047 43614\n87101 100000\n7462 11211\n59189 88816\n56614 84944\n57143 85728\n93159 100000\n5870 8829\n4895 7358\n43923 65965\n2595 3894\n62307 93474\n50620 75966\n33697 50588\n71291 100000\n15556 23298\n20824 31249\n33524 50327\n81279 100000\n48467 72788\n4754 7150\n8151 12223\n98319 100000\n13452 20150\n80856 100000\n75330 100000\n76176 100000\n55924 83896\n52017 78066\n48663 73085\n26002 39000\n70085 100000\n83673 100000\n94595 100000\n58106 87182\n84483 100000\n52316 78501\n28967 43493\n4803 7217\n95943 100000\n81493 100000\n10693 16001\n39828 59776\n45125 67761\n83424 100000\n41275 61971\n12971 19436\n98991 100000\n22384 33609\n93045 100000\n36630 54967\n3167 4761\n11834 17724\n98558 100000\n69271 100000\n11331 16961\n24113 36204\n82104 100000\n33595 50434\n45401 68167\n80442 100000\n80971 100000\n40345 60549\n44711 67129\n86895 100000\n5026 7551\n76064 100000\n37443 56192\n3581 5391\n55767 83664\n37285 55955\n91617 100000\n83080 100000\n39162 58779\n89911 100000\n9344 13989\n52409 78642\n38672 58032\n25773 38662\n88782 100000\n38801 58237\n15884 23779\n15986 23935\n84167 100000\n85366 100000\n94617 100000\n61513 92282\n5332 8014\n23112 34704\n58132 87224\n2225 3338\n14205 21271\n85739 100000\n85380 100000\n16172 24214\n72018 100000\n82453 100000\n5972 8974\n39222 58866\n36913 55391\n43315 65069\n74527 100000\n9570 14319\n39872 59846\n29065 43638\n17882 26831\n55457 83200\n5223 7845\n5664 8521\n93979 100000\n34761 52191\n81622 100000\n99855 100000\n39879 59857\n17069 25588\n88525 100000\n85974 100000\n20195 30300\n44893 67412\n62447 93686\n37910 56899\n50531 75831\n50992 76527\n55203 82817\n19975 29970\n66401 99607\n91081 100000\n10736 16066\n84590 100000\n41804 62781\n32971 49496\n21340 32027\n72432 100000\n30796 46241\n71326 100000\n719 1084\n63624 95430\n87417 100000\n58488 87779\n49227 73925\n16943 25395\n37457 56214\n33155 49771\n62995 94498\n18349 27532\n2155 3230\n43703 65634\n80702 100000\n13755 20585\n17004 25489\n22418 33659\n68307 100000\n34220 51381\n65816 98725\n92245 100000\n61949 92927\n42939 64502\n67600 100000\n31852 47822\n32688 49074\n19000 28508\n11796 17666\n28961 43483\n38888 58360\n39118 58711\n96398 100000\n16759 25110\n83627 100000\n38526 57813\n13032 19528\n24240 36383\n9471 14179\n13181 19750\n56320 84496\n67476 100000\n18880 28324\n96664 100000\n50061 75134\n42522 63871\n66292 99442\n84865 100000\n54978 82468\n89812 100000\n77544 100000\n15035 22509\n6281 9437\n9201 13775\n71838 100000\n94689 100000\n18741 28127\n97 151\n53927 80922\n36415 54646\n44062 66173\n77177 100000\n75642 100000\n55112 82675\n41692 62610\n80630 100000\n28494 42778\n4839 7267\n34492 51781\n3475 5234\n73594 100000\n24386 36611\n88439 100000\n19346 29025\n93319 100000\n44627 67013\n59985 90005\n26127 39182\n12105 18131\n97503 100000\n56 84\n36891 55355\n61670 92510\n25523 38295\n62268 93417\n60679 91034\n59336 89042\n57072 85632\n47006 70594\n85135 100000\n33397 50134\n21474 32229\n82154 100000\n29481 44255\n61992 92991\n40143 60243\n660 1001\n92254 100000\n10730 16056\n9148 13693\n92992 100000\n90133 100000\n48410 72700\n44881 67395\n86630 100000\n76449 100000\n68804 100000\n17668 26507\n10740 16073\n82501 100000\n73933 100000\n54254 81409\n58224 87369\n72465 100000\n46494 69836\n3854 5804\n64977 97467\n35683 53559\n22674 34042\n15388 23046\n63915 95865\n62915 94381\n20182 30279\n2866 4303\n93680 100000\n90873 100000\n11733 17568\n54736 82101\n81928 100000\n11452 17139\n73083 100000\n91015 100000\n63854 95770\n33194 49826\n46215 69395\n80701 100000\n75803 100000\n6520 9792\n5587 8407\n14073 21063\n88809 100000\n30590 45934\n28996 43536\n75773 100000\n81463 100000\n27980 42003\n65061 97591\n8509 12749\n46110 69231\n34058 51155\n77607 100000\n66712 100000\n58811 88262\n20581 30898\n82015 100000\n57781 86679\n89415 100000\n87376 100000\n52565 78880\n47263 70987\n33804 50756\n14105 21115\n1704 2556\n24418 36658\n64969 97455\n14729 22045\n11265 16865\n30699 46099\n71220 100000\n37972 56993\n82637 100000\n24608 36952\n22532 33835\n75455 100000\n28037 42093\n65779 98672\n73894 100000\n97142 100000\n84011 100000\n91006 100000\n8159 12236\n32808 49256\n62574 93884\n12221 18297\n34041 51127\n28655 43022\n98171 100000\n31489 47281\n80859 100000\n51294 76973\n54649 81974\n52099 78189\n51285 76961\n32187 48322\n66178 99276\n38029 57072\n55133 82710\n38720 58108\n32718 49117\n12292 18403\n62646 93984\n50675 76044\n4561 6862\n85706 100000\n50151 75272\n30816 46271\n54992 82488\n58367 87591\n39218 58861\n56582 84892\n23337 35036\n28192 42326\n65503 98258\n72500 100000\n68366 100000\n61845 92774\n41702 62625\n85560 100000\n65726 98596\n63800 95691\n63073 94614\n18556 27850\n1937 2904\n19951 29936\n27868 41828\n54395 81611\n51801 77743\n88481 100000\n54329 81523\n95432 100000\n94924 100000\n54191 81312\n31637 47496\n62346 93531\n68233 100000\n60629 90962\n8774 13139\n12210 18281\n41287 61992\n66570 99851\n5174 7770\n69063 100000\n1695 2542\n6914 10383\n947 1423\n38074 57139\n29171 43800\n30905 46409\n81027 100000\n73085 100000\n3513 5290\n85695 100000\n76595 100000\n78731 100000\n54911 82364\n90394 100000\n38419 57648\n71128 100000\n72912 100000\n808 1214\n12714 19045\n93671 100000\n73781 100000\n85319 100000\n62565 93870\n93993 100000\n37517 56302\n40388 60613\n5374 8076\n58825 88281\n90317 100000\n88550 100000\n23676 35536\n58234 87386\n22987 34512\n43423 65225\n85125 100000\n41410 62182\n30236 45393\n38350 57546\n18588 27898\n35263 52940\n99405 100000\n98386 100000\n54246 81395\n29590 44417\n80462 100000\n79221 100000\n51825 77778\n30478 45763\n96587 100000\n58964 88487\n10431 15599\n85227 100000\n22869 34329\n94888 100000\n2862 4295\n31277 46959\n7766 11664\n79611 100000\n17776 26672\n20738 31121\n17238 25853\n35344 53060\n66260 99396\n46013 69086\n79380 100000\n5243 7876\n51568 77385\n96561 100000\n551 831\n34295 51492\n38500 57771\n37525 56314\n14647 21924\n44135 66282\n97193 100000\n91476 100000\n37420 56157\n88498 100000\n16140 24169\n58260 87426\n76051 100000\n39609 59449\n95269 100000\n81143 100000\n73065 100000\n41835 62829\n88500 100000\n69775 100000\n27062 40604\n10601 15855\n14266 21356\n18508 27773\n71731 100000\n89327 100000\n74309 100000\n96581 100000\n7201 10815\n3083 4636\n24879 37353\n76403 100000\n87988 100000\n6724 10095\n58545 87860\n69904 100000\n33872 50865\n42911 64456\n14739 22062\n91097 100000\n28022 42066\n39112 58700\n82136 100000\n87804 100000\n67393 100000\n35502 53292\n66847 100000\n41925 62961\n18787 28194\n10622 15887\n41782 62750\n82515 100000\n48440 72744\n5635 8479\n71812 100000\n4944 7431\n56063 84111\n16305 24416\n34725 52135\n6869 10316\n27844 41792\n577 871\n17449 26177\n48561 72929\n35401 53140\n72012 100000\n28570 42893\n89700 100000\n85250 100000\n38255 57402\n36077 54148\n32454 48733\n77078 100000\n51332 77027\n4847 7280\n34447 51719\n16694 25016\n84228 100000\n76894 100000\n26182 39278\n17553 26327\n57640 86470\n21227 31854\n92344 100000\n19209 28821\n69546 100000\n3404 5126\n26535 39811\n98934 100000\n44222 66416\n64575 96864\n89256 100000\n68524 100000\n46950 70510\n53996 81025\n77793 100000\n52817 79267\n64897 97344\n68695 100000\n39485 59265\n32212 48361\n45993 69055\n35982 54003\n81188 100000\n22023 33080\n3747 5638\n74952 100000\n22439 33692\n95323 100000\n12975 19442\n59444 89204\n52255 78413\n21588 32404\n2897 4353\n4203 6325\n77719 100000\n84718 100000\n51619 77463\n50462 75731\n3392 5105\n94199 100000\n58485 87775\n63346 95016\n78809 100000\n67423 100000\n99608 100000\n89926 100000\n34304 51506\n90726 100000\n80572 100000\n51447 77202\n84941 100000\n28583 42912\n62415 93636\n63988 95981\n56471 84729\n36498 54774\n87703 100000\n59199 88833\n73851 100000\n89820 100000\n43802 65782\n2926 4404\n31440 47208\n73025 100000\n14621 21884\n89687 100000\n59809 89752\n807 1213\n54910 82363\n21641 32493\n83111 100000\n58693 88091\n28660 43030\n50626 75974\n14115 21129\n26952 40439\n17024 25518\n88701 100000\n9556 14299\n86897 100000\n58585 87922\n86229 100000\n95465 100000\n81162 100000\n25186 37811\n77574 100000\n79489 100000\n68648 100000\n39388 59121\n47773 71747\n81848 100000\n14447 21625\n21328 32009\n89360 100000\n47031 70634\n85517 100000\n4950 7441\n85365 100000\n45918 68945\n12484 18702\n51544 77349\n27699 41575\n22434 33684\n74662 100000\n43871 65884\n36445 54693\n57323 85991\n58073 87127\n234 355\n18482 27734\n27198 40812\n69752 100000\n71282 100000\n94311 100000\n54435 81665\n26557 39845\n68074 100000\n77947 100000\n54152 81256\n10572 15811\n78293 100000\n32189 48325\n28523 42823\n40739 61150\n77663 100000\n30657 46037\n18300 27456\n94852 100000\n68352 100000\n69453 100000\n93295 100000\n47470 71297\n57888 86846\n14257 21343\n28878 43355\n39265 58930\n27339 41021\n66968 100000\n61094 91647\n62488 93750\n2468 3702\n76411 100000\n64140 96210\n39011 58551\n58090 87157\n25466 38209\n33325 50029\n95481 100000\n226 343\n29000 43542\n67391 100000\n51228 76872\n26688 40039\n84140 100000\n11609 17373\n50200 75345\n50792 76230\n72540 100000\n64434 96661\n2533 3802\n31268 46944\n65038 97554\n99419 100000\n85275 100000\n43054 64677\n9632 14404\n74172 100000\n48365 72629\n88546 100000\n50144 75261\n38151 57257\n57201 85818\n75313 100000\n99777 100000\n19576 29379\n4965 7463\n95014 100000\n16283 24385\n5808 8732\n93533 100000\n33144 49754\n56025 84051\n48562 72931\n4167 6272\n75641 100000\n5128 7705\n26576 39872\n75193 100000\n76635 100000\n73584 100000\n11948 17906\n41853 62854\n4710 7082\n26020 39027\n44982 67553\n57453 86185\n34402 51654\n33091 49673\n89098 100000\n30257 45427\n349 530\n53565 80379\n98774 100000\n65464 98201\n2857 4285\n61826 92743\n83356 100000\n14970 22409\n3173 4768\n30077 45145\n84287 100000\n74887 100000\n13509 20233\n55589 83400\n39810 59749\n48884 73411\n15716 23531\n68887 100000\n78730 100000\n94714 100000\n92187 100000\n1145 1704\n49876 74877\n49544 74392\n16297 24404\n61879 92822\n19771 29669\n67967 100000\n63049 94576\n47183 70867\n55548 83340\n72370 100000\n30352 45567\n77860 100000\n80075 100000\n53065 79631\n21269 31918\n11474 17171\n37760 56670\n72390 100000\n76726 100000\n5658 8513\n9754 14588\n22441 33696\n70138 100000\n81578 100000\n35200 52844\n7221 10848\n638 965\n23981 35999\n37250 55901\n66180 99279\n14282 21377\n80709 100000\n19079 28626\n64506 96770\n54243 81391\n55952 83938\n81914 100000\n69185 100000\n51850 77814\n50203 75349\n33224 49873\n89699 100000\n88167 100000\n53436 80180\n96485 100000\n67655 100000\n98550 100000\n21233 31863\n36529 54821\n69670 100000\n34243 51412\n55532 83316\n47328 71082\n16509 24725\n39644 59499\n52639 78993\n27943 41947\n79881 100000\n28879 43357\n90467 100000\n39968 59984\n70552 100000\n55350 83032\n21989 33028\n6067 9117\n14311 21420\n29792 44712\n62544 93839\n74533 100000\n53374 80076\n16215 24280\n31750 47662\n6023 9045\n29787 44704\n88127 100000\n63852 95767\n52346 78548\n24539 36850\n35419 53169\n32809 49258\n8801 13179\n18340 27517\n11430 17105\n62605 93928\n43554 65410\n59749 89662\n57820 86741\n40420 60660\n79697 100000\n67344 100000\n15185 22734\n64945 97422\n33067 49642\n27300 40964\n84052 100000\n32248 48419\n29313 44004\n37132 55717\n76296 100000\n55315 82979\n20784 31193\n44898 67418\n94682 100000\n52776 79208\n65562 98344\n59258 88922\n63252 94877\n98316 100000\n84787 100000\n20263 30406\n63820 95720\n19243 28868\n61146 91723\n68874 100000\n80718 100000\n9544 14284\n10902 16321\n826 1242\n78479 100000\n53768 80684\n34591 51929\n55772 83672\n21963 32991\n50665 76031\n71037 100000\n20942 31430\n56215 84339\n98898 100000\n28063 42128\n6530 9809\n25894 38831\n50755 76172\n38736 58132\n94011 100000\n9553 14296\n28586 42917\n97550 100000\n2744 4123\n46 68\n69792 100000\n50510 75804\n2194 3288\n83315 100000\n20758 31150\n85471 100000\n14396 21545\n64626 96940\n93716 100000\n90983 100000\n89215 100000\n97270 100000\n1404 2098\n7205 10820\n64846 97267\n32436 48700\n38958 58465\n48183 72357\n26707 40068\n58797 88241\n99432 100000\n22460 33724\n78307 100000\n7491 11254\n22464 33730\n76524 100000\n21026 31551\n81302 100000\n73131 100000\n83268 100000\n63964 95946\n13319 19957\n19877 29825\n80613 100000\n10132 15153\n74356 100000\n83478 100000\n34867 52351\n16662 24969\n44727 67152\n49461 74261\n88874 100000\n20475 30734\n10677 15974\n90577 100000\n72182 100000\n95978 100000\n55753 83643\n39014 58555\n67421 100000\n16368 24509\n61100 91655\n40698 61089\n65810 98718\n3063 4605\n64346 96523\n48999 73586\n93798 100000\n76353 100000\n76843 100000\n43833 65827\n78899 100000\n33321 50023\n68128 100000\n20436 30673\n2692 4043\n69774 100000\n93688 100000\n39991 60015\n18977 28474\n42606 63995\n52662 79028\n68215 100000\n30769 46202\n80001 100000\n80914 100000\n4589 6903\n73484 100000\n23316 35006\n12750 19100\n34294 51491\n84394 100000\n34414 51670\n17326 25990\n81390 100000\n33912 50926\n46927 70477\n16191 24243\n15860 23743\n15873 23765\n41521 62348\n37464 56225\n3032 4558\n64520 96787\n18989 28492\n81299 100000\n77641 100000\n8697 13024\n11262 16860\n25761 38645\n60944 91424\n74560 100000\n27115 40687\n63395 95087\n44685 67092\n6979 10475\n67263 100000\n94190 100000\n58536 87845\n51773 77698\n39407 59145\n90742 100000\n45158 67810\n9762 14601\n40928 61440\n27975 41994\n27788 41710\n70945 100000\n19692 29551\n64318 96481\n27016 40533\n59958 89970\n96413 100000\n98947 100000\n63000 94506\n26796 40205\n15931 23847\n43414 65211\n63134 94708\n15194 22747\n30731 46144\n28552 42867\n8969 13425\n71148 100000\n89220 100000\n94106 100000\n2048 3067\n19688 29545\n38520 57803\n73143 100000\n89740 100000\n71499 100000\n90863 100000\n25370 38072\n33871 50864\n23688 35553\n53818 80757\n70687 100000\n99614 100000\n35349 53067\n64965 97449\n71127 100000\n19046 28571\n25140 37742\n24551 36865\n56788 85193\n73783 100000\n10564 15796\n45944 68982\n37871 56839\n73974 100000\n22593 33930\n47897 71940\n56769 85166\n56705 85079\n26610 39922\n71762 100000\n16524 24752\n57066 85625\n31500 47294\n42324 63566\n56312 84482\n16868 25278\n42142 63286\n97057 100000\n42031 63121\n67758 100000\n13365 20029\n24560 36879\n37596 56431\n62233 93363\n46865 70386\n41872 62885\n20441 30681\n12577 18845\n23540 35340\n46129 69257\n78367 100000\n30814 46268\n40705 61100\n28616 42966\n44743 67176\n49062 73678\n81338 100000\n4401 6625\n76483 100000\n72299 100000\n68344 100000\n89825 100000\n11497 17208\n59416 89164\n1940 2908\n25738 38609\n15157 22691\n81687 100000\n36728 55108\n43065 64691\n39726 59626\n28194 42329\n76246 100000\n2044 3061\n62640 93976\n47969 72041\n57336 86009\n59304 88992\n76535 100000\n57510 86275\n98336 100000\n99765 100000\n1797 2697\n32354 48578\n33357 50074\n33490 50275\n2249 3372\n278 418\n98028 100000\n20553 30854\n77649 100000\n17161 25734\n6538 9821\n36583 54900\n85794 100000\n6440 9672\n37724 56615\n6528 9805\n43144 64812\n91402 100000\n49512 74341\n93629 100000\n73494 100000\n71273 100000\n12892 19321\n32635 49000\n35299 52991\n92282 100000\n54875 82310\n24145 36251\n62199 93311\n32476 48763\n90191 100000\n7331 11011\n70194 100000\n41801 62778\n1274 1891\n34119 51240\n9303 13928\n62059 93097\n67108 100000\n42108 63234\n43132 64796\n29935 44929\n50722 76118\n22115 33221\n9636 14411\n47431 71238\n3561 5361\n25352 38045\n21096 31658\n38870 58333\n68675 100000\n98965 100000\n47568 71442\n36022 54067\n57155 85746\n4264 6414\n89263 100000\n9076 13583\n12344 18489\n13522 20253\n85140 100000\n66895 100000\n64920 97381\n56231 84361\n58281 87455\n95804 100000\n33053 49624\n1517 2271\n44383 66657\n34881 52372\n45141 67783\n27084 40639\n29807 44732\n70375 100000\n70279 100000\n57375 86067\n99134 100000\n86891 100000\n57324 85993\n32136 48251\n20228 30353\n63282 94920\n45335 68067\n11684 17494\n61350 92033\n28555 42871\n38795 58227\n75638 100000\n28702 43088\n60446 90690\n93356 100000\n56629 84968\n5856 8808\n59797 89734\n1304 1933\n20707 31076\n65511 98267\n78395 100000\n43904 65936\n26412 39631\n10009 14963\n27327 41004\n61898 92849\n73264 100000\n46489 69827\n71410 100000\n569 859\n52417 78656\n7024 10548\n68940 100000\n18480 27732\n94457 100000\n85738 100000\n92946 100000\n15063 22549\n32303 48502\n34344 51566\n75108 100000\n94428 100000\n86131 100000\n95846 100000\n52990 79519\n33165 49786\n10490 15686\n46904 70441\n68179 100000\n73892 100000\n33656 50526\n54746 82117\n10507 15712\n3626 5457\n52571 78889\n99401 100000\n26126 39181\n3006 4522\n17960 26948\n55576 83383\n31583 47415\n33006 49550\n71380 100000\n63531 95291\n28708 43095\n65373 98063\n83222 100000\n92348 100000\n80822 100000\n83031 100000\n68251 100000\n37641 56497\n25429 38160\n19220 28837\n650 986\n89432 100000\n94324 100000\n76300 100000\n31008 46565\n72382 100000\n97126 100000\n10841 16227\n6727 10100\n95839 100000\n30002 45034\n72488 100000\n91580 100000\n51231 76877\n61343 92022\n10764 16111\n72739 100000\n8389 12573\n67228 100000\n87087 100000\n25326 38013\n83509 100000\n63409 95107\n42056 63156\n80777 100000\n9267 13872\n3429 5166\n80581 100000\n63322 94981\n58999 88540\n4509 6783\n76498 100000\n85251 100000\n37530 56322\n61405 92112\n72606 100000\n36485 54753\n88264 100000\n27578 41392\n59733 89634\n34645 52012\n19894 29851\n55464 83210\n14915 22324\n56990 85504\n53997 81027\n10454 15631\n95263 100000\n73870 100000\n13419 20105\n42334 63582\n26678 40024\n44147 66303\n34093 51206\n69336 100000\n87596 100000\n73096 100000\n69558 100000\n69228 100000\n22480 33757\n24081 36153\n62331 93509\n89902 100000\n99302 100000\n56380 84587\n95897 100000\n28797 43226\n89478 100000\n36204 54328\n17958 26945\n2320 3484\n99271 100000\n64288 96436\n36759 55152\n90348 100000\n16736 25073\n4279 6438\n50733 76137\n481 728\n94130 100000\n62714 94088\n60509 90784\n3638 5477\n69255 100000\n48217 72402\n40346 60550\n82389 100000\n77955 100000\n82137 100000\n29783 44698\n53824 80766\n4804 7218\n34096 51211\n85221 100000\n95900 100000\n90431 100000\n50258 75433\n47911 71958\n31176 46813\n50067 75144\n84256 100000\n33014 49561\n35974 53991\n58096 87166\n74752 100000\n95411 100000\n64770 97156\n85904 100000\n69232 100000\n34263 51443\n69692 100000\n20209 30324\n68516 100000\n81361 100000\n29855 44808\n24786 37216\n32518 48821\n24283 36444\n90505 100000\n84815 100000\n90199 100000\n9641 14418\n15227 22797\n59812 89756\n14286 21383\n82866 100000\n79660 100000\n49726 74651\n90170 100000\n81646 100000\n54952 82426\n61612 92427\n23459 35220\n11721 17551\n62473 93725\n43912 65947\n75706 100000\n98910 100000\n98871 100000\n4534 6819\n19325 28992\n76869 100000\n25962 38935\n14608 21865\n3791 5706\n39746 59657\n90748 100000\n31861 47837\n15688 23492\n25966 38943\n59794 89728\n4058 6121\n25870 38800\n74826 100000\n94692 100000\n58267 87436\n83870 100000\n52503 78789\n87756 100000\n16525 24754\n68390 100000\n27872 41835\n60839 91269\n96739 100000\n43639 65537\n82655 100000\n51893 77875\n47955 72020\n94792 100000\n39456 59220\n58952 88468\n19750 29634\n40803 61248\n48237 72428\n88120 100000\n88821 100000\n89080 100000\n72007 100000\n64896 97342\n97452 100000\n77178 100000\n64249 96370\n56193 84309\n77198 100000\n224 339\n4179 6291\n2114 3166\n43684 65607\n14699 22001\n34074 51178\n71389 100000\n3625 5456\n59160 88774\n40640 60994\n88475 100000\n61380 92074\n82429 100000\n30136 45240\n58100 87172\n69794 100000\n26266 39404\n52080 78161\n55875 83821\n41877 62890\n64783 97175\n40336 60536\n22416 33656\n49774 74724\n52087 78173\n4735 7120\n61621 92438\n87302 100000\n69681 100000\n11414 17079\n80331 100000\n63206 94811\n96252 100000\n26353 39541\n76835 100000\n46320 69555\n76233 100000\n56954 85448\n89177 100000\n54896 82339\n65346 98024\n16314 24431\n16192 24244\n13965 20903\n82699 100000\n4518 6794\n69356 100000\n87372 100000\n38502 57774\n8905 13334\n65738 98613\n94742 100000\n42444 63757\n57311 85970\n82915 100000\n61470 92215\n30421 45675\n39061 58618\n85038 100000\n82594 100000\n72222 100000\n60520 90800\n32852 49319\n44213 66402\n38398 57616\n3562 5363\n43386 65170\n18441 27673\n76934 100000\n58683 88080\n20377 30577\n24135 36236\n44673 67076\n2472 3707\n76828 100000\n68840 100000\n29265 43938\n36750 55139\n85633 100000\n68406 100000\n25803 38703\n86224 100000\n82145 100000\n4521 6799\n71997 100000\n32630 48992\n24977 37505\n30234 45390\n94533 100000\n39814 59755\n90656 100000\n58228 87375\n44291 66520\n78703 100000\n28582 42910\n32911 49409\n87267 100000\n53387 80100\n40938 61453\n78682 100000\n79551 100000\n34347 51569\n56795 85203\n43606 65488\n55927 83901\n6652 9992\n91702 100000\n21363 32062\n84213 100000\n79170 100000\n71504 100000\n32001 48046\n72197 100000\n55449 83187\n82674 100000\n31581 47412\n99430 100000\n80055 100000\n31487 47278\n47002 70587\n30412 45661\n50455 75723\n18883 28328\n69166 100000\n36836 55268\n23674 35532\n38862 58321\n50691 76067\n61249 91881\n38172 57286\n48324 72567\n77311 100000\n10044 15013\n1012 1516\n80321 100000\n85412 100000\n22337 33545\n23679 35539\n98836 100000\n33519 50320\n95612 100000\n12199 18268\n8450 12663\n71776 100000\n26567 39857\n79358 100000\n21495 32260\n22866 34325\n23869 35824\n8752 13107\n96570 100000\n49069 73690\n95450 100000\n99035 100000\n75755 100000\n83487 100000\n43364 65137\n64905 97356\n52081 78163\n94658 100000\n44797 67257\n32915 49415\n57522 86290\n79284 100000\n16879 25298\n38589 57906\n10485 15678\n75147 100000\n43823 65810\n93096 100000\n2427 3641\n81907 100000\n42859 64380\n81244 100000\n5634 8477\n76126 100000\n42199 63368\n72640 100000\n66219 99339\n17807 26720\n48936 73493\n44440 66739\n80800 100000\n77296 100000\n40330 60525\n11411 17076\n25125 37718\n18023 27037\n20965 31462\n96612 100000\n50240 75404\n72832 100000\n95776 100000\n55570 83373\n1839 2764\n19001 28509\n63880 95810\n66025 99041\n40744 61157\n67728 100000\n48537 72892\n24983 37515\n41483 62288\n50847 76311\n63599 95397\n94024 100000\n54869 82301\n46036 69118\n69628 100000\n56987 85499\n60854 91290\n21891 32884\n6289 9450\n2443 3663\n3497 5265\n42084 63198\n14292 21393\n99080 100000\n73947 100000\n4347 6546\n25678 38520\n62959 94443\n33166 49787\n44915 67447\n16542 24783\n58320 87520\n95115 100000\n66789 100000\n33465 50233\n28064 42129\n83477 100000\n94165 100000\n64059 96093\n90849 100000\n32379 48615\n39780 59707\n18967 28456\n75603 100000\n88916 100000\n60763 91157\n39305 58988\n59988 90010\n5251 7891\n96621 100000\n22633 33985\n82021 100000\n90494 100000\n85356 100000\n60188 90315\n35707 53592\n99203 100000\n2424 3638\n54733 82097\n43946 65998\n2273 3410\n48633 73040\n78821 100000\n52501 78786\n3929 5921\n38511 57789\n58588 87927\n86177 100000\n19332 29003\n66911 100000\n79568 100000\n22949 34453\n63844 95756\n61312 91974\n97557 100000\n97782 100000\n26255 39388\n91937 100000\n69514 100000\n35534 53341\n17777 26673\n25054 37615\n56120 84195\n55998 84011\n61284 91932\n77640 100000\n11793 17661\n27483 41244\n73191 100000\n43373 65151\n17246 25868\n24268 36420\n49111 73755\n41539 62375\n19517 29293\n40570 60887\n40347 60552\n45029 67623\n99773 100000\n84561 100000\n52681 79057\n91987 100000\n66482 99726\n78663 100000\n27021 40539\n16202 24262\n66831 100000\n20398 30612\n41613 62492\n3918 5904\n73593 100000\n18192 27294\n91359 100000\n18781 28185\n82335 100000\n52362 78570\n51509 77293\n77214 100000\n21936 32952\n17455 26185\n14427 21593\n87409 100000\n28043 42102\n10343 15462\n96291 100000\n63262 94892\n14222 21296\n61367 92055\n32376 48610\n65449 98176\n74317 100000\n88413 100000\n82954 100000\n37692 56569\n25185 37809\n16686 25004\n47190 70878\n4364 6572\n81379 100000\n1492 2235\n75589 100000\n98601 100000\n57956 86947\n87562 100000\n40852 61326\n34938 52455\n97348 100000\n72098 100000\n39247 58904\n98026 100000\n71199 100000\n68657 100000\n91436 100000\n79835 100000\n41725 62662\n59056 88620\n70320 100000\n84942 100000\n28229 42385\n47725 71679\n28387 42622\n91199 100000\n53130 79727\n52976 79499\n65060 97589\n79846 100000\n92192 100000\n2080 3116\n18390 27597\n3637 5475\n75143 100000\n9208 13786\n86169 100000\n60876 91323\n73901 100000\n81099 100000\n97301 100000\n66446 99674\n75058 100000\n98334 100000\n24711 37106\n43805 65787\n52582 78903\n11459 17152\n42825 64334\n1084 1616\n30188 45323\n76402 100000\n8303 12452\n40255 60411\n42147 63294\n4050 6108\n47480 71313\n55558 83355\n79728 100000\n37956 56970\n70163 100000\n76944 100000\n79808 100000\n74540 100000\n22656 34015\n91931 100000\n37839 56789\n12173 18229\n59643 89498\n81096 100000\n44714 67133\n60615 90941\n53851 80806\n77846 100000\n72109 100000\n72319 100000\n11700 17520\n97775 100000\n65793 98692\n15269 22856\n5181 7780\n51861 77828\n47178 70861\n35185 52820\n670 1014\n39501 59287\n18642 27977\n26093 39135\n69955 100000\n47548 71414\n71691 100000\n65879 98827\n48499 72838\n710 1072\n73907 100000\n92080 100000\n77270 100000\n45623 68500\n45280 67985\n36547 54848\n52049 78114\n74943 100000\n72723 100000\n6877 10328\n93624 100000\n71042 100000\n16705 25031\n26791 40199\n57769 86661\n94360 100000\n18264 27402\n10413 15568\n2208 3311\n94174 100000\n20883 31339\n44938 67483\n93866 100000\n89421 100000\n71685 100000\n52174 78297\n75394 100000\n38839 58288\n39095 58673\n74347 100000\n51762 77679\n12275 18379\n88470 100000\n61374 92065\n78139 100000\n61699 92553\n3914 5896\n76707 100000\n99356 100000\n52481 78755\n54040 81091\n10963 16410\n4038 6089\n99323 100000\n51795 77735\n24037 36088\n77997 100000\n18614 27937\n19638 29472\n15116 22628\n58637 88006\n23230 34876\n52617 78959\n38004 57041\n61045 91569\n86609 100000\n27491 41258\n21925 32935\n15214 22779\n20005 30009\n6486 9740\n11349 16987\n17695 26550\n91637 100000\n90671 100000\n4391 6614\n77729 100000\n15731 23552\n263 396\n65222 97826\n6942 10423\n89842 100000\n41400 62166\n92197 100000\n90707 100000\n68554 100000\n66143 99221\n54552 81835\n89413 100000\n93618 100000\n98166 100000\n46062 69159\n89844 100000\n794 1192\n747 1123\n15328 22953\n47821 71822\n12894 19325\n59150 88758\n40735 61145\n22490 33772\n16838 25231\n61691 92540\n14368 21508\n44202 66387\n55006 82507\n81340 100000\n65768 98655\n86301 100000\n47651 71568\n16352 24484\n73005 100000\n27709 41588\n67935 100000\n99402 100000\n88290 100000\n8003 12007\n65666 98502\n50558 75874\n6312 9481\n44217 66409\n71378 100000\n69629 100000\n4298 6468\n13543 20286\n34342 51563\n76250 100000\n85035 100000\n33889 50892\n85420 100000\n8563 12828\n30246 45410\n93195 100000\n19368 29058\n22848 34300\n5212 7828\n73818 100000\n30337 45543\n78529 100000\n42020 63104\n63774 95653\n51289 76967\n25050 37609\n18345 27525\n25529 38304\n6663 10006\n12717 19050\n9499 14223\n87429 100000\n87763 100000\n70704 100000\n73217 100000\n11833 17723\n43484 65309\n60987 91485\n14572 21813\n34481 51766\n82308 100000\n32343 48562\n21440 32178\n4922 7397\n1957 2933\n377 572\n51413 77152\n61236 91861\n82726 100000\n87126 100000\n72023 100000\n79500 100000\n40556 60866\n70062 100000\n62260 93405\n3109 4674\n41327 62051\n73236 100000\n11028 16510\n42711 64155\n34122 51243\n80715 100000\n45596 68459\n75657 100000\n87352 100000\n76988 100000\n42922 64475\n47364 71137\n60212 90346\n83300 100000\n79843 100000\n84551 100000\n82665 100000\n90739 100000\n45703 68619\n14180 21231\n22029 33089\n34921 52430\n19633 29465\n73317 100000\n34307 51511\n32196 48337\n73071 100000\n84734 100000\n14783 22128\n87378 100000\n76290 100000\n64855 97281\n2286 3429\n81356 100000\n22355 33570\n4214 6342\n87794 100000\n27451 41194\n11117 16640\n27171 40767\n79780 100000\n99008 100000\n34863 52343\n14428 21595\n45735 68669\n57181 85787\n1880 2820\n85644 100000\n94214 100000\n58632 87998\n42602 63990\n70901 100000\n25248 37907\n64085 96130\n10384 15525\n6353 9541\n99448 100000\n20064 30100\n43228 64937\n77314 100000\n84351 100000\n21858 32830\n9 13\n202 309\n32172 48300\n9959 14895\n33210 49851\n23042 34599\n95106 100000\n22226 33385\n76808 100000\n81987 100000\n10532 15750\n21870 32850\n54020 81063\n98005 100000\n7782 11686\n25290 37964\n19188 28790\n56992 85507\n48398 72681\n33385 50117\n91578 100000\n37470 56235\n15544 23283\n88678 100000\n66502 99751\n55895 83854\n62894 94352\n6493 9752\n19933 29910\n88589 100000\n6351 9538\n20120 30183\n25702 38552\n48934 73489\n75214 100000\n92290 100000\n19567 29368\n46549 69921\n23418 35153\n6256 9394\n77792 100000\n81729 100000\n63942 95908\n45290 67999\n62159 93253\n27743 41639\n55648 83492\n44339 66592\n51574 77395\n89521 100000\n59482 89258\n33148 49760\n26056 39085\n52005 78047\n79224 100000\n83402 100000\n96687 100000\n90031 100000\n49545 74394\n86902 100000\n81062 100000\n80562 100000\n51904 77893\n42550 63911\n2767 4155\n86626 100000\n96661 100000\n93004 100000\n83773 100000\n84526 100000\n52216 78356\n81532 100000\n62258 93401\n43302 65046\n2413 3624\n94396 100000\n21727 32622\n22265 33446\n22351 33564\n66902 100000\n44308 66544\n55916 83885\n63505 95253\n98826 100000\n32620 48974\n42411 63705\n67134 100000\n56498 84769\n26990 40493\n48339 72587\n92592 100000\n94052 100000\n61550 92338\n41499 62317\n66998 100000\n1479 2216\n23743 35637\n57704 86564\n57229 85854\n49985 75026\n40508 60789\n65585 98376\n46274 69485\n95223 100000\n93734 100000\n55100 82656\n57773 86667\n74133 100000\n96389 100000\n50942 76451\n51495 77273\n18727 28105\n12012 17999\n10039 15007\n2311 3468\n84398 100000\n39003 58539\n68297 100000\n65965 98959\n6208 9325\n57774 86669\n57122 85699\n4242 6380\n50103 75199\n31565 47389\n68461 100000\n60322 90503\n4729 7111\n8959 13409\n4095 6172\n17159 25731\n53923 80916\n56348 84540\n24292 36458\n16362 24499\n82784 100000\n14999 22457\n77365 100000\n48963 73533\n75903 100000\n59130 88728\n36164 54273\n2148 3217\n88553 100000\n52555 78866\n44686 67094\n22578 33904\n3400 5118\n63151 94735\n49598 74466\n96923 100000\n11300 16916\n79921 100000\n60429 90668\n8954 13402\n72557 100000\n39806 59744\n31817 47768\n86269 100000\n67901 100000\n27437 41171\n5392 8107\n57516 86282\n63297 94941\n27350 41037\n2633 3956\n76676 100000\n4941 7426\n66734 100000\n1763 2643\n4356 6559\n97530 100000\n92785 100000\n39547 59352\n7723 11600\n66877 100000\n7358 11051\n9800 14660\n61319 91984\n28868 43339\n43825 65814\n99190 100000\n52508 78797\n96833 100000\n25285 37958\n64257 96383\n39676 59546\n97304 100000\n44499 66825\n44709 67126\n726 1096\n36516 54802\n67448 100000\n36177 54291\n19860 29801\n27074 40623\n48214 72399\n74942 100000\n56374 84577\n76159 100000\n7006 10518\n12910 19347\n95927 100000\n62491 93754\n17318 25979\n41800 62776\n94033 100000\n6310 9479\n9100 13617\n72552 100000\n61235 91859\n73270 100000\n23032 34582\n63929 95888\n33133 49740\n2779 4175\n51603 77438\n57530 86303\n93151 100000\n97868 100000\n79958 100000\n40286 60457\n51303 76982\n2081 3118\n87577 100000\n79783 100000\n24357 36564\n61279 91924\n67226 100000\n10268 15352\n93117 100000\n68732 100000\n37141 55729\n52944 79455\n78074 100000\n77047 100000\n49953 74978\n68376 100000\n43049 64670\n38155 57261\n57042 85590\n52556 78868\n52844 79307\n71785 100000\n72869 100000\n13154 19708\n31938 47950\n72520 100000\n36907 55381\n10826 16203\n21618 32454\n39131 58731\n2152 3224\n36059 54123\n61206 91812\n8252 12378\n5136 7716\n41711 62639\n91572 100000\n62940 94420\n67299 100000\n96583 100000\n94603 100000\n54763 82145\n2029 3040\n26062 39095\n87347 100000\n29398 44129\n65410 98114\n31050 46630\n99426 100000\n75738 100000\n7230 10861\n90907 100000\n35421 53173\n22340 33549\n72184 100000\n90922 100000\n14879 22272\n88926 100000\n30988 46534\n65441 98161\n27370 41070\n26975 40470\n13562 20311\n45649 68537\n77117 100000\n66917 100000\n84245 100000\n31670 47538\n80867 100000\n25345 38038\n21331 32014\n76082 100000\n77562 100000\n91368 100000\n14867 22255\n44158 66321\n68228 100000\n66222 99343\n17503 26254\n12318 18446\n70724 100000\n56353 84547\n21948 32967\n90526 100000\n72799 100000\n80648 100000\n79150 100000\n47137 70794\n60495 90763\n69770 100000\n22501 33788\n78450 100000\n35898 53883\n90583 100000\n30605 45955\n86846 100000\n64697 97046\n95336 100000\n8616 12903\n13946 20873\n96554 100000\n80520 100000\n90995 100000\n47828 71833\n48531 72883\n81498 100000\n65929 98899\n80624 100000\n50633 75985\n33891 50894\n97819 100000\n81400 100000\n68858 100000\n37283 55951\n43341 65103\n92178 100000\n65734 98607\n57291 85943\n78735 100000\n65288 97933\n38480 57739\n75842 100000\n39479 59254\n25654 38486\n29695 44572\n28161 42277\n82916 100000\n19898 29857\n38197 57320\n6517 9788\n19393 29096\n18591 27901\n64727 97092\n28422 42673\n32807 49255\n38076 57143\n4362 6568\n46739 70196\n95160 100000\n80190 100000\n41968 63023\n68998 100000\n4629 6963\n63482 95218\n96092 100000\n52498 78782\n64811 97214\n79943 100000\n57714 86580\n79252 100000\n84693 100000\n55577 83384\n37054 55607\n22347 33559\n82812 100000\n69622 100000\n83307 100000\n31204 46850\n52521 78817\n1561 2334\n73166 100000\n85527 100000\n99176 100000\n23268 34932\n46456 69775\n49646 74535\n33298 49987\n46635 70048\n38654 58004\n67679 100000\n80967 100000\n39659 59521\n3305 4970\n79433 100000\n9837 14714\n24719 37114\n51210 76849\n75263 100000\n41255 61938\n29745 44647\n21301 31968\n35187 52824\n62244 93377\n25750 38626\n59879 89848\n69739 100000\n18287 27436\n11779 17637\n86995 100000\n87656 100000\n2557 3837\n24267 36419\n20862 31308\n33564 50390\n37082 55646\n4792 7202\n997 1493\n30581 45920\n38982 58506\n94612 100000\n79228 100000\n19920 29888\n84552 100000\n92075 100000\n17630 26447\n14882 22276\n20987 31494\n70031 100000\n15971 23912\n64959 97442\n2331 3499\n36698 55064\n9375 14034\n37494 56270\n39209 58847\n3085 4638\n5653 8505\n40132 60229\n44944 67491\n72305 100000\n16200 24259\n45265 67965\n75338 100000\n88465 100000\n64511 96776\n53617 80457\n21040 31575\n29900 44878\n96928 100000\n59231 88882\n69169 100000\n56846 85282\n34623 51975\n38380 57585\n14047 21024\n92784 100000\n2444 3665\n24906 37396\n50372 75604\n23549 35352\n33898 50905\n85065 100000\n50013 75066\n68192 100000\n45502 68321\n65762 98647\n14713 22021\n33141 49750\n6286 9447\n88962 100000\n31731 47629\n20952 31445\n74976 100000\n34173 51313\n61189 91789\n29326 44025\n20149 30230\n33339 50049\n899 1353\n37027 55567\n15148 22676\n34027 51104\n60198 90327\n89297 100000\n78256 100000\n86434 100000\n34385 51630\n38844 58295\n48893 73424\n20688 31052\n53009 79548\n64928 97393\n87272 100000\n90743 100000\n260 392\n37426 56166\n14174 21223\n68983 100000\n6785 10189\n26627 39948\n22485 33766\n30842 46312\n8854 13254\n56073 84125\n86693 100000\n99541 100000\n58352 87565\n41611 62489\n72505 100000\n37037 55582\n56688 85054\n62426 93655\n40417 60655\n30283 45467\n41438 62222\n37019 55555\n7301 10965\n16679 24992\n82848 100000\n3607 5429\n8883 13299\n59709 89598\n96144 100000\n52209 78345\n96310 100000\n37815 56756\n78669 100000\n9120 13651\n5640 8487\n98200 100000\n27879 41847\n77450 100000\n54503 81767\n44054 66160\n73753 100000\n18469 27718\n53090 79668\n34698 52093\n41799 62775\n85111 100000\n91310 100000\n17501 26252\n92375 100000\n57563 86355\n95298 100000\n44719 67139\n25871 38801\n87074 100000\n74543 100000\n63021 94535\n63559 95336\n19235 28859\n29408 44144\n94107 100000\n86454 100000\n63669 95497\n43031 64641\n95519 100000\n23049 34610\n26844 40279\n84888 100000\n35902 53889\n82376 100000\n46495 69837\n21887 32878\n56349 84542\n24295 36462\n31655 47519\n33888 50891\n90541 100000\n7749 11640\n27827 41769\n22277 33463\n57145 85732\n85347 100000\n92271 100000\n82225 100000\n43943 65995\n29216 43866\n46636 70049\n52784 79221\n28021 42064\n6636 9963\n63992 95986\n58627 87989\n11305 16924\n7943 11917\n82635 100000\n52353 78556\n5065 7609\n42699 64138\n51016 76560\n93933 100000\n65463 98199\n33467 50235\n62031 93051\n17027 25522\n54871 82303\n92766 100000\n13085 19606\n74119 100000\n26603 39912\n44115 66254\n26338 39517\n22125 33238\n70839 100000\n93534 100000\n45741 68677\n53730 80624\n32634 48998\n59681 89557\n89343 100000\n61383 92078\n98473 100000\n28424 42676\n26882 40335\n91265 100000\n51018 76564\n61238 91864\n49017 73616\n13643 20420\n7170 10763\n11053 16550\n50407 75652\n50074 75156\n7615 11435\n13688 20486\n33641 50503\n64573 96861\n47782 71758\n31113 46724\n53849 80803\n63169 94758\n55630 83463\n70939 100000\n34380 51622\n15072 22564\n65683 98527\n90343 100000\n26703 40062\n96296 100000\n48668 73092\n41241 61916\n68283 100000\n55394 83098\n67387 100000\n60440 90682\n33023 49576\n88672 100000\n65861 98801\n136 209\n70156 100000\n57325 85994\n72996 100000\n19987 29983\n50426 75679\n55070 82606\n70738 100000\n41918 62950\n71880 100000\n73601 100000\n84776 100000\n80597 100000\n51032 76587\n14536 21755\n69178 100000\n71904 100000\n95803 100000\n53571 80388\n51293 76972\n79162 100000\n6235 9363\n34534 51846\n98592 100000\n20180 30277\n84255 100000\n33910 50923\n21735 32635\n69989 100000\n90900 100000\n33113 49707\n1560 2332\n39137 58740\n41741 62686\n2418 3629\n61725 92591\n16730 25064\n2061 3085\n73902 100000\n45245 67934\n32858 49326\n67585 100000\n12295 18408\n25828 38741\n48061 72182\n12911 19349\n45415 68186\n15397 23059\n99196 100000\n11166 16714\n71907 100000\n91287 100000\n99437 100000\n85363 100000\n94495 100000\n65438 98158\n96604 100000\n33387 50120\n60494 90762\n36900 55370\n43719 65660\n17426 26139\n9483 14199\n78645 100000\n74736 100000\n39735 59642\n67301 100000\n76563 100000\n11362 17008\n33193 49825\n58612 87967\n99319 100000\n53094 79674\n16357 24491\n75731 100000\n50724 76122\n58665 88052\n53246 79892\n52429 78675\n41980 63041\n35591 53429\n78602 100000\n70959 100000\n6467 9712\n66014 99027\n17443 26166\n27027 40548\n7734 11619\n50826 76280\n79154 100000\n47210 70906\n16084 24086\n41924 62960\n4241 6379\n47905 71950\n47271 70998\n21001 31514\n78414 100000\n41887 62904\n57931 86910\n29086 43668\n10697 16006\n57645 86478\n66955 100000\n51148 76757\n54381 81592\n83545 100000\n27600 41422\n75862 100000\n43678 65596\n90675 100000\n31843 47808\n54156 81262\n71800 100000\n43102 64747\n51356 77063\n80351 100000\n24404 36636\n56403 84622\n54200 81326\n9967 14903\n61761 92645\n28315 42514\n37342 56036\n85100 100000\n43285 65021\n72971 100000\n13589 20348\n77592 100000\n23652 35502\n42212 63389\n22584 33915\n74941 100000\n92415 100000\n44798 67259\n98933 100000\n61463 92202\n59950 89958\n8692 13017\n55659 83507\n99960 100000\n11967 17934\n38365 57564\n76752 100000\n87626 100000\n29683 44553\n70160 100000\n26921 40390\n27381 41088\n83083 100000\n59443 89202\n96873 100000\n92910 100000\n91753 100000\n76840 100000\n59282 88960\n11646 17432\n7544 11334\n1565 2341\n36556 54859\n26163 39245\n90552 100000\n46354 69611\n33480 50258\n64766 97148\n15234 22808\n11118 16641\n11745 17585\n96719 100000\n68420 100000\n72730 100000\n74466 100000\n56396 84611\n91251 100000\n44525 66863\n52795 79235\n95060 100000\n15383 23038\n64792 97188\n43488 65317\n6897 10357\n34042 51128\n1208 1797\n69300 100000\n36772 55170\n69829 100000\n11380 17033\n60205 90337\n89793 100000\n46213 69392\n35067 52646\n57987 86992\n66784 100000\n48577 72954\n5594 8420\n29764 44671\n14271 21364\n10359 15485\n28646 43008\n19483 29239\n39551 59359\n16121 24142\n36941 55435\n4127 6217\n28887 43369\n36689 55051\n6721 10091\n64623 96936\n28271 42449\n22379 33603\n20701 31069\n84725 100000\n44621 67004\n59203 88839\n37372 56085\n68765 100000\n68301 100000\n85115 100000\n25769 38657\n70890 100000\n67243 100000\n60953 91435\n26814 40232\n39018 58561\n89766 100000\n7095 10650\n90856 100000\n12739 19086\n27922 41914\n43775 65740\n74860 100000\n64349 96528\n14349 21477\n96971 100000\n30773 46207\n19208 28819\n66466 99701\n13467 20173\n48501 72842\n33528 50334\n15503 23224\n78504 100000\n81048 100000\n65215 97817\n80133 100000\n56037 84071\n9009 13482\n55018 82522\n19967 29960\n94828 100000\n9840 14720\n74696 100000\n94013 100000\n69478 100000\n51576 77397\n53654 80510\n35762 53675\n23787 35704\n57249 85881\n97306 100000\n91543 100000\n40139 60238\n14896 22298\n64949 97428\n26449 39686\n88417 100000\n42215 63394\n41052 61624\n5567 8375\n39432 59182\n23983 36003\n93360 100000\n9027 13509\n51686 77570\n2004 3004\n94099 100000\n94701 100000\n49057 73671\n47588 71471\n37419 56156\n18493 27750\n66505 99755\n95615 100000\n49077 73700\n68270 100000\n86648 100000\n91022 100000\n2170 3252\n4793 7203\n95380 100000\n47145 70808\n13552 20298\n32158 48282\n3070 4615\n31653 47515\n72561 100000\n91300 100000\n62081 93132\n17712 26576\n20655 31002\n9478 14191\n40130 60225\n82803 100000\n8001 12004\n60135 90233\n75022 100000\n47160 70835\n77896 100000\n71462 100000\n28187 42319\n20020 30031\n49172 73850\n79978 100000\n27643 41485\n99212 100000\n34105 51225\n67534 100000\n83650 100000\n50679 76050\n72306 100000\n74076 100000\n63829 95734\n39476 59250\n91875 100000\n60400 90627\n36024 54070\n36471 54730\n14756 22089\n28873 43345\n4787 7193\n64478 96732\n64456 96696\n85535 100000\n17454 26184\n93587 100000\n11521 17243\n14670 21958\n61422 92139\n62814 94235\n78706 100000\n83474 100000\n19450 29188\n84172 100000\n28595 42932\n2596 3896\n84099 100000\n40042 60095\n93144 100000\n52698 79083\n97178 100000\n2969 4468\n16001 23957\n72189 100000\n18471 27720\n63450 95168\n98119 100000\n29226 43882\n30563 45892\n96243 100000\n27539 41334\n86872 100000\n37159 55756\n49105 73746\n63313 94966\n21493 32256\n20465 30719\n88556 100000\n53931 80929\n52746 79158\n99516 100000\n3972 5990\n48652 73070\n87520 100000\n53555 80361\n37849 56805\n65312 97974\n73623 100000\n74682 100000\n22947 34451\n15991 23943\n37850 56807\n25213 37854\n79168 100000\n44896 67415\n4446 6689\n9518 14249\n26540 39819\n73165 100000\n85126 100000\n37883 56858\n92037 100000\n43442 65250\n80449 100000\n95889 100000\n86069 100000\n84501 100000\n26719 40087\n9187 13755\n88800 100000\n52089 78175\n74999 100000\n653 991\n1813 2721\n24498 36787\n62632 93964\n34271 51456\n11799 17671\n91626 100000\n48275 72489\n12595 18872\n77245 100000\n97520 100000\n42015 63097\n51264 76929\n93848 100000\n80557 100000\n91564 100000\n83586 100000\n1125 1675\n60092 90171\n74903 100000\n54279 81445\n68843 100000\n39378 59105\n24343 36542\n43334 65095\n20428 30659\n80934 100000\n10598 15850\n25864 38791\n78348 100000\n711 1074\n3359 5054\n73275 100000\n51657 77526\n83000 100000\n62973 94466\n70739 100000\n57838 86772\n4682 7041\n66894 100000\n35422 53174\n28590 42924\n10387 15529\n57355 86038\n9454 14154\n66113 99175\n80695 100000\n68618 100000\n61287 91935\n82384 100000\n90812 100000\n68471 100000\n23902 35874\n85977 100000\n93052 100000\n21177 31781\n97519 100000\n15012 22477\n70466 100000\n37203 55828\n92139 100000\n2749 4130\n96242 100000\n14295 21397\n10146 15175\n82250 100000\n30898 46398\n62286 93444\n65490 98239\n61523 92295\n95174 100000\n36591 54914\n72386 100000\n67698 100000\n98407 100000\n92873 100000\n81982 100000\n69703 100000\n38827 58271\n55809 83722\n2913 4379\n89312 100000\n92504 100000\n68636 100000\n37722 56611\n15576 23330\n5366 8063\n52542 78845\n10082 15075\n45103 67728\n27308 40975\n2787 4186\n4962 7458\n6352 9540\n57827 86751\n85470 100000\n2348 3528\n11548 17283\n61066 91603\n9917 14830\n35751 53657\n65580 98370\n57386 86085\n69283 100000\n29693 44568\n42095 63214\n49588 74451\n31717 47604\n10698 16008\n34484 51770\n66436 99659\n28939 43450\n31438 47205\n34854 52329\n45923 68953\n75633 100000\n44692 67102\n63130 94701\n8577 12849\n536 809\n96509 100000\n34714 52120\n85967 100000\n17642 26466\n7616 11436\n6207 9324\n85972 100000\n40183 60303\n91482 100000\n71724 100000\n99352 100000\n1936 2902\n90659 100000\n26445 39679\n84408 100000\n127 194\n4361 6567\n5266 7915\n83624 100000\n91302 100000\n25103 37685\n23585 35405\n83033 100000\n34620 51969\n11966 17933\n95180 100000\n29616 44455\n8239 12359\n73390 100000\n51819 77772\n13169 19731\n77565 100000\n61205 91811\n7679 11533\n38459 57707\n33934 50960\n53309 79983\n61637 92464\n83375 100000\n87475 100000\n64296 96447\n6011 9027\n41097 61695\n70109 100000\n16468 24661\n94067 100000\n69133 100000\n20997 31508\n71165 100000\n56425 84658\n92500 100000\n95887 100000\n98681 100000\n10091 15090\n55723 83600\n647 980\n80359 100000\n98581 100000\n9380 14042\n62055 93091\n41745 62692\n35409 53152\n82337 100000\n46328 69568\n70344 100000\n17424 26136\n24515 36812\n33664 50538\n16138 24166\n61122 91689\n23016 34555\n24495 36782\n44036 66132\n85543 100000\n82693 100000\n60584 90893\n53817 80755\n6757 10146\n60065 90128\n10780 16137\n82124 100000\n79536 100000\n3024 4547\n35223 52879\n84196 100000\n27379 41085\n3481 5241\n24836 37290\n55266 82907\n95392 100000\n50128 75235\n63335 94999\n74554 100000\n19449 29187\n40688 61073\n12818 19207\n64663 96995\n19515 29289\n77949 100000\n17653 26486\n92479 100000\n74384 100000\n27599 41421\n23637 35484\n46750 70215\n65398 98095\n23527 35324\n13079 19598\n71357 100000\n18672 28023\n52366 78577\n6546 9833\n79199 100000\n49904 74914\n48512 72859\n18486 27740\n15792 23645\n34901 52402\n45850 68841\n58218 87360\n26216 39331\n69518 100000\n9562 14307\n93377 100000\n78475 100000\n11193 16757\n84817 100000\n74353 100000\n39122 58716\n31503 47297\n458 696\n64538 96812\n50872 76348\n33201 49837\n89438 100000\n76754 100000\n85628 100000\n1506 2255\n41130 61749\n13778 20616\n36990 55511\n5479 8244\n55864 83806\n9887 14789\n782 1174\n46608 70007\n57354 86037\n61305 91963\n14355 21487\n48617 73016\n62104 93165\n5596 8422\n69180 100000\n65194 97789\n11174 16726\n41595 62461\n68195 100000\n22230 33391\n97455 100000\n31382 47117\n9059 13557\n22118 33226\n23129 34727\n40543 60846\n64229 96339\n65201 97800\n58989 88523\n34874 52362\n25104 37686\n96161 100000\n94729 100000\n34020 51095\n31252 46923\n8424 12625\n22090 33179\n23987 36011\n72322 100000\n58200 87329\n40356 60568\n29749 44653\n78806 100000\n54283 81453\n68973 100000\n28972 43500\n76598 100000\n96730 100000\n67305 100000\n80719 100000\n55726 83603\n39397 59135\n19026 28541\n35866 53833\n99831 100000\n802 1205\n79986 100000\n27081 40634\n45984 69043\n5536 8331\n12902 19335\n51950 77961\n25130 37726\n35373 53102\n86972 100000\n92530 100000\n79895 100000\n64333 96503\n43572 65440\n30087 45159\n44494 66817\n75826 100000\n96478 100000\n8186 12281\n76154 100000\n93320 100000\n34258 51434\n77784 100000\n24920 37417\n3384 5094\n24526 36828\n16257 24342\n44823 67303\n91147 100000\n45738 68673\n64690 97037\n46710 70157\n14204 21269\n89456 100000\n26331 39507\n38921 58408\n55775 83677\n46550 69922\n1809 2715\n24242 36386\n8941 13384\n7268 10914\n20929 31409\n32583 48914\n67753 100000\n6327 9505\n25312 37994\n94734 100000\n99869 100000\n96887 100000\n3403 5124\n23279 34950\n95138 100000\n37202 55826\n60795 91202\n15921 23834\n34963 52493\n39599 59436\n22767 34178\n36788 55194\n96012 100000\n86989 100000\n26714 40081\n64564 96849\n14627 21892\n61291 91943\n24431 36676\n33130 49735\n68124 100000\n71178 100000\n77677 100000\n13254 19860\n41117 61729\n4270 6424\n88917 100000\n24109 36198\n89755 100000\n56947 85435\n21995 33037\n94500 100000\n34981 52516\n61566 92364\n89691 100000\n31333 47044\n8111 12163\n2928 4407\n97577 100000\n24892 37372\n87348 100000\n33495 50281\n69348 100000\n80466 100000\n73861 100000\n30298 45489\n66136 99213\n31394 47135\n34879 52370\n76406 100000\n21851 32818\n94328 100000\n36354 54557\n53116 79707\n21467 32218\n12497 18723\n17340 26009\n52051 78118\n69259 100000\n72452 100000\n3393 5107\n63807 95702\n50112 75213\n61396 92099\n12157 18206\n62801 94215\n73331 100000\n63254 94880\n49441 74234\n96335 100000\n46907 70445\n75469 100000\n28568 42890\n34760 52189\n83286 100000\n55161 82755\n19851 29787\n13802 20652\n99036 100000\n50022 75078\n56891 85346\n58980 88508\n95002 100000\n81215 100000\n43047 64667\n60015 90051\n34888 52381\n75294 100000\n91203 100000\n16003 23960\n13046 19551\n44888 67406\n84928 100000\n2768 4156\n77977 100000\n24125 36223\n77481 100000\n1641 2458\n36378 54593\n59527 89326\n30884 46375\n85263 100000\n63093 94645\n43345 65108\n94415 100000\n94552 100000\n60990 91489\n42193 63359\n10647 15926\n18197 27303\n68078 100000\n56376 84581\n56573 84881\n32173 48301\n74778 100000\n74918 100000\n31352 47074\n12066 18075\n48593 72982\n20097 30149\n9848 14730\n35834 53786\n99743 100000\n98328 100000\n12794 19172\n54293 81467\n79035 100000\n88070 100000\n57652 86489\n94465 100000\n27103 40672\n52657 79021\n12234 18317\n30743 46164\n73955 100000\n53129 79726\n61063 91598\n44333 66584\n23522 35316\n6176 9280\n27683 41548\n17395 26091\n26818 40238\n97494 100000\n94752 100000\n65530 98297\n65540 98310\n45022 67612\n4716 7091\n83039 100000\n89663 100000\n36567 54877\n70802 100000\n22321 33522\n99484 100000\n49779 74731\n61854 92787\n5009 7528\n25525 38298\n32066 48147\n3121 4692\n99863 100000\n29467 44233\n18157 27243\n36874 55326\n55557 83354\n27282 40934\n49533 74373\n11991 17970\n21222 31848\n87276 100000\n13472 20180\n54791 82186\n79262 100000\n97610 100000\n11533 17261\n64309 96468\n11068 16570\n46247 69446\n13836 20705\n99968 100000\n38714 58100\n15258 22842\n91601 100000\n84215 100000\n19770 29667\n55484 83242\n6430 9658\n23110 34700\n17279 25920\n62187 93293\n39219 58862\n52807 79254\n5322 8002\n63799 95690\n21275 31927\n27288 40945\n10747 16083\n84747 100000\n19222 28841\n16079 24080\n3836 5772\n82715 100000\n98133 100000\n48144 72298\n75204 100000\n79354 100000\n8633 12928\n23933 35925\n56280 84432\n86764 100000\n93689 100000\n88514 100000\n29973 44991\n13634 20408\n10844 16232\n84613 100000\n79802 100000\n5276 7929\n31045 46621\n94336 100000\n72045 100000\n81688 100000\n48737 73195\n45215 67892\n3007 4523\n36795 55204\n95618 100000\n35161 52784\n384 583\n70746 100000\n53149 79756\n22704 34087\n48902 73438\n54030 81078\n18090 27138\n5011 7532\n67191 100000\n23842 35785\n53545 80348\n73524 100000\n44192 66375\n99175 100000\n2264 3394\n61568 92367\n4145 6241\n51287 76964\n58111 87190\n12768 19128\n97214 100000\n5491 8262\n69784 100000\n90442 100000\n87164 100000\n95032 100000\n4092 6168\n73712 100000\n70555 100000\n77187 100000\n81073 100000\n81604 100000\n79504 100000\n90077 100000\n8260 12388\n63088 94638\n22834 34280\n33779 50715\n38039 57087\n14312 21422\n70689 100000\n62123 93192\n76590 100000\n40914 61419\n32453 48731\n68825 100000\n64630 96944\n52145 78257\n15819 23683\n33173 49798\n16338 24464\n65780 98674\n93290 100000\n35622 53477\n37395 56118\n53957 80965\n39154 58765\n76652 100000\n90249 100000\n30862 46344\n19904 29865\n75302 100000\n42867 64392\n81704 100000\n8981 13441\n11416 17081\n65000 97500\n49025 73626\n4343 6541\n19109 28670\n84375 100000\n18599 27913\n4130 6221\n90377 100000\n67771 100000\n18334 27507\n19588 29400\n36063 54128\n33676 50553\n74310 100000\n87838 100000\n10846 16236\n11419 17086\n83287 100000\n47255 70978\n47698 71639\n26917 40384\n38542 57837\n85521 100000\n70487 100000\n36265 54423\n19550 29344\n62045 93077\n75566 100000\n61624 92442\n63902 95845\n26630 39952\n19911 29876\n31395 47137\n54292 81465\n98597 100000\n89509 100000\n60863 91303\n88307 100000\n84759 100000\n26670 40012\n95725 100000\n12034 18033\n75960 100000\n31894 47885\n47131 70786\n90482 100000\n69430 100000\n42734 64193\n88462 100000\n48258 72461\n47789 71770\n82797 100000\n49550 74400\n21091 31653\n40885 61378\n52723 79120\n29676 44544\n82192 100000\n89714 100000\n95795 100000\n36429 54669\n58878 88367\n6567 9862\n65301 97956\n63507 95256\n44753 67193\n49558 74412\n63077 94620\n14936 22358\n41767 62727\n11674 17478\n85103 100000\n63275 94909\n81542 100000\n16142 24171\n82226 100000\n30244 45406\n54642 81964\n72115 100000\n20664 31015\n50908 76403\n94969 100000\n70447 100000\n61210 91819\n60740 91123\n69952 100000\n76709 100000\n41328 62053\n61528 92304\n37148 55738\n94289 100000\n13430 20121\n94908 100000\n96467 100000\n42957 64533\n5282 7940\n40400 60629\n20864 31310\n87500 100000\n40382 60606\n25570 38362\n46504 69850\n78263 100000\n95015 100000\n89323 100000\n84326 100000\n14752 22083\n30532 45847\n34684 52072\n47388 71174\n66966 100000\n44745 67179\n31560 47381\n67210 100000\n89183 100000\n65894 98848\n92849 100000\n78046 100000\n85192 100000\n37010 55543\n96390 100000\n37646 56504\n82528 100000\n53036 79585\n91952 100000\n62088 93142\n74641 100000\n92136 100000\n15018 22486\n31609 47458\n65685 98531\n37206 55831\n90325 100000\n30952 46479\n70866 100000\n38920 58407\n66846 100000\n71316 100000\n73440 100000\n60246 90394\n90814 100000\n19810 29730\n41226 61894\n53612 80451\n34573 51903\n13704 20510\n84514 100000\n50342 75563\n51523 77315\n57448 86176\n52085 78170\n23827 35765\n16923 25364\n60214 90349\n665 1008\n45488 68302\n45748 68687\n38812 58251\n9784 14635\n54837 82255\n3186 4791\n2686 4032\n50535 75835\n64755 97133\n34742 52160\n73815 100000\n82524 100000\n14416 21576\n7741 11629\n56901 85362\n74430 100000\n92099 100000\n46855 70372\n4504 6774\n52689 79070\n19669 29518\n32953 49468\n81231 100000\n75568 100000\n65525 98290\n54682 82019\n40498 60776\n84885 100000\n76940 100000\n13189 19764\n35732 53627\n39227 58874\n62857 94302\n55717 83591\n89872 100000\n32704 49096\n36432 54673\n39293 58973\n86906 100000\n45356 68101\n70599 100000\n81539 100000\n96896 100000\n3934 5929\n3408 5132\n41689 62604\n84965 100000\n8027 12042\n88340 100000\n93164 100000\n98486 100000\n36577 54891\n9996 14944\n15870 23760\n26928 40401\n72456 100000\n60902 91363\n51203 76840\n7953 11933\n19177 28775\n56431 84669\n20891 31352\n5810 8735\n62991 94491\n39166 58783\n95921 100000\n34528 51838\n21673 32541\n76548 100000\n4390 6613\n51320 77009\n72058 100000\n52212 78350\n73911 100000\n81677 100000\n42664 64083\n31997 48041\n6555 9844\n33392 50127\n66993 100000\n50188 75327\n58182 87299\n28260 42432\n69583 100000\n5739 8631\n16353 24485\n14813 22175\n73295 100000\n55844 83774\n81726 100000\n99373 100000\n71404 100000\n43084 64721\n47205 70899\n56809 85226\n58095 87164\n60877 91325\n87581 100000\n79612 100000\n97049 100000\n86901 100000\n83542 100000\n7824 11749\n89483 100000\n53205 79833\n38693 58067\n55427 83154\n92638 100000\n39083 58657\n15315 22932\n6890 10347\n67980 100000\n12129 18168\n81446 100000\n65496 98248\n77690 100000\n94660 100000\n78445 100000\n49329 74068\n9070 13574\n84720 100000\n33994 51053\n69507 100000\n72296 100000\n90817 100000\n61480 92232\n95159 100000\n58430 87685\n15359 23003\n43661 65567\n121 183\n91884 100000\n77098 100000\n27048 40580\n19777 29678\n5413 8136\n24748 37159\n90595 100000\n42649 64058\n72447 100000\n71976 100000\n39853 59814\n18644 27979\n63721 95575\n54985 82478\n86927 100000\n97088 100000\n43174 64858\n35774 53693\n24243 36387\n62782 94185\n49201 73889\n42102 63224\n66870 100000\n23519 35310\n44488 66808\n71520 100000\n9095 13612\n83594 100000\n1507 2256\n16647 24944\n8842 13236\n34444 51715\n79775 100000\n92822 100000\n31851 47821\n76922 100000\n41419 62195\n48138 72288\n88073 100000\n54786 82178\n53956 80964\n93996 100000\n32037 48101\n26058 39088\n59883 89855\n8051 12081\n48078 72204\n22833 34278\n6125 9203\n37720 56608\n64080 96123\n74375 100000\n29225 43880\n62053 93088\n84819 100000\n10049 15020\n12957 19415\n76694 100000\n69248 100000\n14361 21496\n9689 14490\n4512 6787\n3165 4758\n61265 91906\n65088 97628\n58829 88287\n38071 57134\n46075 69178\n85999 100000\n45162 67814\n89310 100000\n19195 28799\n7895 11852\n30282 45466\n5602 8433\n16633 24925\n29490 44266\n5340 8025\n28288 42476\n89595 100000\n2302 3452\n75643 100000\n54317 81506\n40282 60451\n6802 10213\n9519 14251\n99414 100000\n9796 14654\n49310 74040\n45347 68087\n78642 100000\n6513 9782\n34733 52146\n80871 100000\n90268 100000\n78195 100000\n89552 100000\n5489 8259\n76435 100000\n28705 43092\n73279 100000\n8936 13378\n39225 58871\n13883 20777\n2618 3931\n10226 15290\n95932 100000\n94948 100000\n47973 72046\n77561 100000\n8176 12263\n80241 100000\n12257 18352\n29067 43642\n63154 94739\n6468 9714\n3530 5315\n67365 100000\n97299 100000\n47261 70985\n34590 51928\n51788 77724\n56342 84531\n30655 46034\n35456 53225\n78428 100000\n12828 19222\n10775 16130\n35975 53992\n52513 78804\n85818 100000\n5709 8588\n97107 100000\n57927 86904\n52318 78503\n45033 67628\n93229 100000\n7008 10520\n46580 69966\n46441 69753\n91116 100000\n95899 100000\n91844 100000\n12712 19043\n90730 100000\n49854 74843\n95204 100000\n18270 27412\n85809 100000\n50389 75627\n85924 100000\n4925 7402\n92330 100000\n55770 83668\n6876 10326\n72352 100000\n8365 12537\n28963 43487\n9598 14359\n35563 53383\n40558 60869\n97332 100000\n14264 21353\n66782 100000\n53952 80958\n62332 93511\n78622 100000\n36343 54539\n50216 75366\n22831 34274\n42718 64164\n52252 78408\n23593 35416\n50412 75659\n58269 87438\n55803 83715\n52820 79271\n93830 100000\n79375 100000\n13139 19684\n68073 100000\n69957 100000\n94258 100000\n47602 71492\n36755 55147\n57272 85912\n55303 82961\n12321 18450\n26999 40505\n27246 40885\n24255 36402\n82319 100000\n96350 100000\n9394 14062\n65837 98759\n93807 100000\n71729 100000\n6254 9391\n67948 100000\n74993 100000\n7833 11761\n8877 13289\n23646 35495\n25120 37711\n19613 29437\n50073 75155\n21720 32610\n31956 47977\n43533 65379\n63067 94604\n87373 100000\n97798 100000\n84973 100000\n83159 100000\n79733 100000\n1509 2259\n79924 100000\n8773 13138\n80157 100000\n14374 21517\n81262 100000\n99809 100000\n82975 100000\n84129 100000\n2910 4374\n17789 26691\n61830 92749\n53144 79750\n10201 15250\n85401 100000\n53013 79554\n15089 22590\n87325 100000\n26224 39340\n54153 81257\n42779 64263\n57124 85703\n424 645\n3222 4848\n9633 14405\n56514 84792\n83719 100000\n43316 65070\n9360 14014\n77262 100000\n32794 49235\n35949 53958\n33901 50910\n75155 100000\n76328 100000\n19351 29032\n6444 9676\n64222 96330\n51100 76689\n92959 100000\n25603 38411\n72850 100000\n34091 51203\n88421 100000\n79370 100000\n96225 100000\n51098 76687\n78239 100000\n23669 35525\n43898 65927\n41011 61562\n77723 100000\n54928 82391\n4003 6037\n62243 93376\n21379 32085\n81842 100000\n84641 100000\n60804 91214\n27658 41508\n36139 54237\n30267 45444\n29753 44657\n59615 89454\n31485 47276\n68873 100000\n59746 89656\n20770 31170\n5015 7538\n27918 41908\n38613 57944\n29456 44216\n55111 82673\n11891 17814\n11604 17368\n50347 75569\n82867 100000\n70476 100000\n57283 85930\n73127 100000\n81945 100000\n14888 22286\n36185 54300\n84062 100000\n64034 96053\n9877 14777\n70123 100000\n95165 100000\n45293 68004\n28045 42105\n42919 64469\n80638 100000\n75973 100000\n22316 33516\n60377 90592\n68316 100000\n16764 25118\n38778 58201\n31122 46737\n48911 73454\n83644 100000\n10839 16225\n56694 85060\n40560 60872\n83001 100000\n17433 26150\n75936 100000\n43145 64814\n80014 100000\n54711 82067\n23381 35098\n24874 37346\n2748 4128\n60915 91380\n71852 100000\n67699 100000\n13206 19786\n20435 30671\n15945 23870\n34016 51088\n35857 53819\n49910 74922\n18546 27836\n95824 100000\n2343 3518\n2216 3326\n40362 60577\n78459 100000\n33009 49555\n51439 77188\n42438 63748\n33935 50961\n22372 33592\n64123 96183\n23640 35488\n38259 57408\n857 1290\n12476 18692\n26587 39888\n67928 100000\n99512 100000\n85554 100000\n54412 81632\n23366 35079\n80211 100000\n80339 100000\n40440 60691\n93426 100000\n87410 100000\n41248 61925\n15354 22994\n13990 20941\n19642 29479\n49613 74489\n25384 38095\n66650 99964\n9628 14400\n38149 57254\n20242 30373\n49097 73733\n9063 13563\n49840 74821\n70237 100000\n12152 18199\n29739 44637\n86034 100000\n73945 100000\n75574 100000\n93906 100000\n20592 30915\n61860 92796\n64238 96354\n87560 100000\n71007 100000\n65637 98459\n32951 49465\n61767 92654\n38507 57783\n87140 100000\n28482 42761\n43167 64848\n84539 100000\n80402 100000\n37316 56001\n5723 8609\n30793 46238\n81469 100000\n94923 100000\n53810 80745\n39770 59691\n57639 86468\n66519 99774\n76661 100000\n52499 78783\n57854 86794\n69585 100000\n61145 91721\n33659 50532\n50487 75768\n25547 38326\n38586 57902\n2131 3191\n42329 63575\n12346 18492\n44609 66986\n77282 100000\n36061 54126\n26773 40170\n40795 61236\n81952 100000\n23907 35883\n24298 36466\n81961 100000\n27731 41621\n80425 100000\n95391 100000\n54930 82395\n7489 11250\n23291 34965\n8527 12776\n90275 100000\n67091 100000\n30800 46248\n96862 100000\n79682 100000\n16184 24233\n84087 100000\n75640 100000\n83608 100000\n25665 38502\n57893 86854\n28617 42967\n41574 62429\n63304 94953\n6359 9549\n61118 91683\n17570 26351\n13329 19973\n62321 93493\n19419 29141\n8379 12558\n30739 46158\n67916 100000\n46815 70314\n84162 100000\n82756 100000\n53721 80610\n95492 100000\n30918 46429\n99193 100000\n95740 100000\n21932 32945\n56315 84488\n26948 40431\n98038 100000\n23801 35725\n29415 44154\n41586 62446\n1226 1822\n82052 100000\n42009 63085\n31704 47586\n809 1216\n83075 100000\n22074 33155\n47342 71103\n64198 96295\n55619 83446\n47001 70585\n44582 66944\n38484 57746\n38474 57730\n39401 59139\n82874 100000\n10704 16018\n66872 100000\n50880 76359\n1869 2805\n4550 6844\n58507 87804\n93206 100000\n25626 38443\n68115 100000\n91249 100000\n28299 42490\n96866 100000\n20722 31097\n9439 14133\n33115 49710\n81086 100000\n62209 93325\n16884 25307\n59335 89041\n86823 100000\n28031 42082\n79654 100000\n5776 8685\n51488 77262\n87959 100000\n35138 52749\n42770 64250\n45274 67977\n98221 100000\n6136 9222\n67680 100000\n15617 23389\n15368 23016\n56164 84265\n83259 100000\n76653 100000\n53852 80808\n25234 37886\n38059 57114\n96988 100000\n16594 24866\n4032 6081\n41418 62194\n61394 92095\n57572 86367\n29870 44835\n12417 18602\n39168 58786\n26718 40086\n17584 26373\n43539 65388\n23389 35110\n5439 8181\n11059 16556\n54995 82492\n87138 100000\n13838 20708\n4056 6117\n87526 100000\n7688 11550\n33405 50144\n46909 70449\n75231 100000\n57825 86747\n78025 100000\n68025 100000\n52770 79199\n3366 5065\n1966 2947\n50817 76267\n71612 100000\n85491 100000\n78959 100000\n98867 100000\n1050 1568\n9217 13798\n4858 7296\n74955 100000\n5614 8451\n41715 62646\n23433 35176\n74967 100000\n22436 33687\n33131 49737\n40401 60630\n52079 78160\n81112 100000\n93284 100000\n74556 100000\n40692 61078\n84071 100000\n68070 100000\n42936 64498\n49733 74662\n28336 42543\n32730 49136\n77836 100000\n90460 100000\n72290 100000\n74486 100000\n60619 90946\n31167 46801\n12644 18948\n85342 100000\n22695 34073\n81309 100000\n40273 60437\n37453 56207\n52758 79181\n36664 55018\n61339 92015\n52567 78884\n40104 60186\n83377 100000\n43781 65750\n19843 29777\n59850 89808\n47907 71952\n16420 24586\n79591 100000\n73868 100000\n99061 100000\n5763 8666\n8002 12006\n42257 63457\n99542 100000\n84107 100000\n62753 94145\n83632 100000\n53576 80395\n92335 100000\n16341 24468\n24389 36615\n1296 1923\n785 1178\n49089 73720\n20106 30164\n56985 85495\n82323 100000\n13503 20225\n56429 84665\n54678 82013\n18809 28225\n1838 2762\n49812 74781\n5087 7641\n58338 87545\n89774 100000\n73066 100000\n55042 82562\n8199 12303\n83483 100000\n11460 17153\n77535 100000\n62453 93696\n35839 53794\n31641 47501\n56410 84633\n50923 76422\n2072 3103\n54960 82437\n7977 11969\n10789 16149\n80026 100000\n4601 6921\n77443 100000\n57876 86829\n54980 82472\n26513 39777\n20503 30779\n19973 29968\n188 288\n82216 100000\n56988 85500\n30064 45128\n26104 39150\n61079 91620\n96080 100000\n95972 100000\n71622 100000\n37859 56823\n36846 55284\n17716 26582\n18179 27274\n97445 100000\n52876 79355\n10732 16060\n71857 100000\n94303 100000\n79841 100000\n93986 100000\n17893 26850\n34632 51991\n53719 80607\n62147 93234\n26290 39445\n95922 100000\n77323 100000\n27986 42012\n5443 8188\n30553 45876\n6164 9263\n72480 100000\n41309 62024\n52773 79203\n83253 100000\n6419 9641\n70407 100000\n67061 100000\n28480 42758\n54134 81230\n70142 100000\n76115 100000\n61153 91734\n97527 100000\n77600 100000\n76216 100000\n75033 100000\n18465 27712\n27462 41211\n508 765\n29504 44286\n25035 37587\n20417 30642\n4591 6905\n46845 70358\n44233 66432\n53250 79897\n3087 4642\n31996 48039\n59127 88724\n74498 100000\n20076 30118\n7086 10639\n66336 99505\n65193 97787\n92774 100000\n19980 29975\n40291 60464\n542 818\n36603 54931\n45578 68431\n92184 100000\n76592 100000\n20152 30234\n35141 52753\n92753 100000\n31818 47769\n79570 100000\n13055 19565\n29553 44363\n10205 15257\n23974 35985\n42365 63630\n48680 73112\n25220 37863\n38686 58055\n52751 79167\n98885 100000\n86789 100000\n10208 15262\n8948 13393\n52900 79389\n56230 84359\n35270 52950\n61349 92031\n48984 73563\n13560 20309\n71112 100000\n70016 100000\n47834 71841\n28987 43524\n26059 39089\n60498 90768\n33544 50361\n44979 67548\n26072 39108\n95826 100000\n84161 100000\n66796 100000\n65927 98897\n10936 16369\n90122 100000\n9399 14070\n80794 100000\n8558 12822\n59925 89920\n78409 100000\n22733 34129\n40684 61066\n73879 100000\n97929 100000\n85451 100000\n2898 4354\n79442 100000\n22453 33714\n84773 100000\n24215 36350\n39517 59311\n16158 24195\n5735 8626\n30165 45282\n19730 29605\n33849 50829\n16435 24611\n24807 37246\n31594 47435\n36467 54724\n46467 69791\n69741 100000\n27234 40868\n28165 42283\n27352 41041\n96734 100000\n3705 5579\n7196 10806\n38324 57506\n43998 66077\n18388 27593\n84633 100000\n29279 43953\n94664 100000\n32124 48233\n65072 97605\n11232 16812\n95736 100000\n95586 100000\n76369 100000\n42997 64589\n1522 2278\n95309 100000\n50354 75579\n92990 100000\n12632 18928\n2545 3820\n45650 68539\n18214 27326\n34358 51586\n71589 100000\n12888 19315\n25692 38538\n62931 94407\n72760 100000\n55560 83358\n97365 100000\n73998 100000\n17352 26030\n87550 100000\n42206 63380\n63276 94911\n82321 100000\n94355 100000\n91058 100000\n56822 85245\n30597 45944\n29951 44955\n91756 100000\n53587 80412\n67445 100000\n75181 100000\n46214 69394\n99386 100000\n98682 100000\n2227 3341\n37893 56870\n12195 18261\n7504 11273\n6583 9887\n87511 100000\n77572 100000\n97517 100000\n99696 100000\n651 988\n37740 56640\n60265 90418\n79487 100000\n97733 100000\n41103 61704\n52294 78467\n55013 82516\n7189 10794\n74149 100000\n15300 22906\n29795 44715\n22707 34091\n55512 83283\n4235 6369\n88504 100000\n88545 100000\n61078 91619\n21197 31811\n49980 75018\n11603 17367\n90251 100000\n53703 80584\n91153 100000\n190 292\n74654 100000\n68048 100000\n19706 29572\n95698 100000\n48148 72305\n53892 80867\n76071 100000\n47676 71606\n55323 82991\n35726 53619\n61603 92413\n22324 33527\n6749 10133\n37695 56574\n32042 48110\n18968 28458\n85501 100000\n52090 78176\n906 1365\n1552 2319\n52859 79329\n10328 15442\n40515 60801\n47972 72045\n10434 15603\n97055 100000\n75145 100000\n51054 76620\n68788 100000\n15279 22873\n91036 100000\n53435 80178\n60248 90397\n14171 21217\n58543 87857\n89830 100000\n43739 65688\n42990 64580\n9249 13844\n11537 17268\n85060 100000\n97704 100000\n14622 21885\n53401 80126\n42565 63933\n70773 100000\n62968 94459\n14417 21578\n68047 100000\n76739 100000\n12252 18343\n86592 100000\n89265 100000\n74804 100000\n33400 50138\n78196 100000\n53486 80260\n77736 100000\n4121 6208\n75197 100000\n58695 88094\n3228 4858\n72765 100000\n42712 64157\n26443 39676\n63310 94961\n46800 70288\n11160 16705\n3356 5050\n23511 35299\n99369 100000\n22886 34356\n30971 46508\n59545 89351\n92565 100000\n27563 41370\n86274 100000\n73335 100000\n7420 11146\n60747 91133\n51116 76711\n89140 100000\n54388 81600\n92641 100000\n31397 47139\n17990 26989\n72896 100000\n93829 100000\n47961 72030\n84471 100000\n62118 93185\n3436 5177\n77526 100000\n78198 100000\n61213 91823\n15788 23640\n25580 38377\n32757 49178\n47499 71342\n26477 39724\n12156 18205\n31228 46889\n73443 100000\n65857 98793\n64814 97218\n46981 70554\n90006 100000\n56921 85393\n95777 100000\n19038 28559\n52075 78154\n99990 100000\n25428 38159\n53607 80443\n10183 15224\n29295 43978\n39807 59745\n82802 100000\n26073 39109\n44540 66888\n77304 100000\n41793 62766\n45654 68544\n76792 100000\n3983 6005\n32175 48304\n81218 100000\n83900 100000\n15405 23071\n62102 93162\n10210 15265\n18909 28367\n95965 100000\n70153 100000\n31384 47121\n84368 100000\n90815 100000\n47228 70932\n16965 25430\n83090 100000\n84595 100000\n94353 100000\n63874 95802\n92741 100000\n37818 56761\n35938 53943\n55713 83584\n32259 48437\n84116 100000\n41682 62592\n4257 6403\n84186 100000\n48206 72387\n40902 61402\n4328 6514\n25668 38506\n68614 100000\n71054 100000\n93301 100000\n44654 67050\n9490 14208\n53433 80176\n42552 63914\n31089 46689\n11093 16608\n17613 26420\n33943 50973\n6610 9922\n7237 10872\n75318 100000\n12559 18820\n83783 100000\n91989 100000\n73958 100000\n20344 30529\n59171 88790\n83054 100000\n32374 48607\n7174 10770\n52207 78343\n54057 81115\n11233 16814\n92814 100000\n39982 60003\n28484 42764\n67730 100000\n46116 69240\n11492 17201\n36983 55499\n83855 100000\n23624 35465\n14789 22137\n89508 100000\n46940 70494\n82300 100000\n69313 100000\n15857 23740\n33311 50007\n66598 99891\n58306 87497\n7862 11802\n50846 76310\n10114 15124\n2498 3746\n18242 27373\n29983 45004\n23475 35243\n56857 85298\n36494 54767\n48419 72713\n50899 76391\n1048 1566\n36680 55039\n75763 100000\n25866 38794\n26804 40216\n44960 67516\n74577 100000\n23033 34584\n65063 97594\n54359 81560\n12 18\n53799 80730\n44108 66242\n59412 89159\n35764 53678\n38525 57811\n58572 87905\n77375 100000\n73344 100000\n37207 55833\n86658 100000\n90959 100000\n50111 75212\n32541 48851\n6180 9286\n20719 31093\n23173 34794\n80112 100000\n4342 6540\n69449 100000\n47914 71963\n68933 100000\n35370 53098\n3385 5095\n15561 23306\n99969 100000\n42249 63444\n71912 100000\n75032 100000\n25302 37980\n9743 14571\n94433 100000\n98831 100000\n56548 84844\n30149 45261\n80602 100000\n18356 27541\n80809 100000\n15851 23730\n15527 23257\n84695 100000\n98488 100000\n63026 94542\n59629 89476\n36199 54321\n98481 100000\n9874 14772\n74592 100000\n49736 74666\n35872 53842\n72112 100000\n21659 32522\n39411 59150\n3582 5393\n83217 100000\n79709 100000\n31577 47406\n70301 100000\n17186 25776\n7122 10686\n32478 48766\n49586 74447\n47715 71664\n93051 100000\n49389 74150\n14990 22443\n20460 30711\n23004 34537\n24587 36920\n57858 86799\n69476 100000\n43282 65017\n34121 51242\n72525 100000\n87964 100000\n18320 27488\n626 945\n87688 100000\n65561 98342\n74953 100000\n55904 83867\n72463 100000\n61971 92958\n57676 86522\n29709 44593\n1866 2801\n11123 16649\n72160 100000\n3931 5924\n73073 100000\n41216 61880\n98189 100000\n66407 99614\n61329 92001\n1524 2281\n87735 100000\n47727 71681\n94691 100000\n60113 90204\n40992 61530\n91440 100000\n20490 30760\n48292 72517\n82672 100000\n85987 100000\n58261 87427\n1416 2115\n36360 54566\n32824 49281\n31905 47901\n63037 94557\n98213 100000\n98062 100000\n45798 68762\n57009 85536\n76774 100000\n98905 100000\n76699 100000\n50272 75454\n82262 100000\n7558 11353\n25211 37850\n24849 37307\n3512 5288\n61024 91541\n10899 16317\n85732 100000\n43395 65182\n19840 29773\n86704 100000\n4204 6326\n90847 100000\n13860 20740\n59796 89732\n35443 53208\n55207 82822\n4610 6933\n71582 100000\n6006 9020\n80706 100000\n68896 100000\n61263 91903\n17149 25713\n25511 38278\n12220 18296\n20931 31412\n29041 43604\n35533 53339\n81347 100000\n68523 100000\n46353 69610\n87851 100000\n49531 74370\n22812 34245\n2336 3508\n20961 31458\n35153 52771\n17739 26615\n91425 100000\n6980 10476\n34889 52382\n94334 100000\n74522 100000\n60336 90524\n85782 100000\n56941 85427\n22814 34249\n32023 48080\n77084 100000\n75586 100000\n64041 96064\n29356 44071\n85671 100000\n57752 86632\n71134 100000\n68414 100000\n98723 100000\n78519 100000\n42916 64464\n11765 17615\n93792 100000\n89517 100000\n38176 57292\n22962 34475\n64295 96446\n95057 100000\n76722 100000\n43752 65707\n86432 100000\n33650 50516\n27558 41363\n29657 44515\n9856 14742\n49324 74061\n57851 86789\n18413 27633\n49131 73785\n56381 84588\n28032 42083\n15508 23230\n21596 32417\n11127 16656\n39538 59341\n52150 78264\n9441 14136\n88732 100000\n15727 23546\n2508 3762\n75946 100000\n17397 26093\n59877 89846\n70017 100000\n29440 44194\n52335 78530\n70887 100000\n3509 5283\n33049 49618\n65405 98105\n70590 100000\n32906 49400\n18033 27052\n4852 7286\n65421 98133\n37084 55649\n63472 95202\n61371 92061\n31736 47637\n14160 21198\n52133 78238\n79272 100000\n63835 95743\n64534 96807\n92429 100000\n66913 100000\n88650 100000\n54999 82497\n48921 73471\n91855 100000\n70713 100000\n83371 100000\n96655 100000\n48402 72689\n29724 44613\n50579 75905\n23797 35719\n85995 100000\n17744 26623\n98463 100000\n42998 64591\n4200 6322\n26415 39635\n57139 85723\n97769 100000\n16298 24405\n42479 63808\n29630 44475\n81487 100000\n51579 77403\n80908 100000\n25863 38790\n10636 15911\n9331 13971\n47798 71786\n88232 100000\n30857 46337\n55714 83586\n26915 40381\n73841 100000\n62952 94434\n2504 3755\n4695 7059\n80781 100000\n88363 100000\n44037 66134\n50096 75187\n43863 65871\n47763 71732\n13374 20041\n93684 100000\n42141 63285\n41655 62553\n49343 74086\n19773 29672\n77204 100000\n37975 56997\n71166 100000\n37556 56366\n81236 100000\n9311 13940\n27913 41899\n38364 57563\n55712 83583\n11840 17732\n46083 69191\n30753 46181\n47900 71945\n5517 8299\n78668 100000\n98036 100000\n48196 72374\n9804 14666\n38244 57386\n66890 100000\n98101 100000\n71008 100000\n57284 85932\n44127 66272\n72693 100000\n41265 61954\n40935 61449\n86215 100000\n41484 62290\n38132 57229\n55527 83308\n34267 51449\n98767 100000\n61705 92562\n11892 17815\n42882 64415\n10878 16284\n66169 99260\n2036 3049\n17529 26293\n48205 72385\n45847 68836\n54967 82448\n27977 41997\n42422 63723\n89458 100000\n99049 100000\n62183 93288\n27525 41314\n60857 91295\n20621 30957\n93069 100000\n33801 50750\n94358 100000\n71145 100000\n7124 10689\n10658 15943\n46862 70383\n25303 37982\n72806 100000\n73600 100000\n23068 34638\n30520 45828\n72556 100000\n43001 64595\n30431 45691\n95121 100000\n20884 31341\n2807 4216\n93375 100000\n3028 4553\n18018 27029\n90754 100000\n12239 18323\n2017 3021\n6075 9128\n27160 40752\n27009 40519\n73758 100000\n97414 100000\n48178 72350\n60816 91231\n36330 54520\n42245 63439\n38603 57930\n16938 25388\n35825 53773\n67558 100000\n28483 42763\n39845 59803\n57519 86285\n9142 13682\n51274 76945\n21010 31528\n76381 100000\n37189 55808\n40600 60934\n83299 100000\n6642 9974\n8297 12445\n22675 34044\n10466 15649\n31507 47304\n6959 10446\n58937 88449\n53233 79873\n26438 39668\n61083 91628\n81531 100000\n7397 11112\n86710 100000\n77111 100000\n5801 8720\n38147 57252\n39249 58907\n5363 8058\n20941 31428\n70169 100000\n60997 91499\n54737 82102\n80472 100000\n24461 36726\n51590 77422\n19759 29649\n38821 58264\n19912 29877\n83711 100000\n21229 31857\n75672 100000\n29483 44257\n74653 100000\n48543 72900\n36291 54462\n60151 90256\n56555 84854\n38581 57896\n70496 100000\n33603 50445\n77251 100000\n99526 100000\n77452 100000\n18812 28229\n54208 81339\n25269 37936\n49358 74107\n7459 11208\n16167 24207\n91452 100000\n60292 90457\n26217 39332\n35128 52733\n66804 100000\n71998 100000\n82700 100000\n91967 100000\n80340 100000\n18102 27157\n19081 28628\n18991 28496\n76122 100000\n83794 100000\n68150 100000\n97402 100000\n98740 100000\n79876 100000\n71829 100000\n30593 45938\n41185 61832\n64186 96278\n12390 18557\n86306 100000\n96098 100000\n15773 23619\n82311 100000\n83275 100000\n42643 64048\n39001 58535\n53920 80911\n85159 100000\n89679 100000\n55699 83563\n9855 14740\n57707 86570\n22689 34064\n48522 72871\n28107 42197\n66413 99623\n52906 79398\n70414 100000\n83156 100000\n73631 100000\n34038 51123\n37360 56066\n27691 41561\n15325 22948\n36995 55520\n27315 40985\n52215 78355\n14354 21485\n46727 70181\n20620 30955\n2026 3037\n1722 2585\n62815 94237\n31423 47181\n1607 2406\n966 1447\n62875 94327\n37964 56981\n87034 100000\n56876 85324\n911 1371\n78465 100000\n3507 5280\n35324 53029\n58858 88335\n48761 73229\n41847 62846\n98002 100000\n12986 19457\n50911 76407\n134 206\n11482 17183\n42157 63311\n74082 100000\n8556 12820\n51720 77619\n15222 22789\n33069 49645\n61158 91740\n94819 100000\n62153 93243\n79299 100000\n70294 100000\n7864 11805\n57211 85831\n13676 20467\n73596 100000\n26798 40208\n47794 71779\n14196 21257\n40972 61500\n61138 91712\n37075 55636\n30388 45618\n45393 68155\n68230 100000\n50505 75796\n20162 30249\n62597 93917\n40391 60616\n66828 100000\n94456 100000\n70844 100000\n93657 100000\n93494 100000\n19719 29590\n44977 67544\n45910 68934\n54712 82069\n34133 51257\n58273 87445\n9703 14511\n26782 40184\n82468 100000\n94298 100000\n8832 13223\n14578 21823\n70433 100000\n50004 75056\n38994 58526\n65330 97999\n84843 100000\n96016 100000\n45079 67694\n10985 16444\n78716 100000\n75030 100000\n93242 100000\n30512 45816\n72495 100000\n82622 100000\n92693 100000\n49382 74140\n52457 78717\n31476 47263\n67763 100000\n87077 100000\n61336 92011\n49865 74860\n82291 100000\n21124 31702\n78632 100000\n22194 33338\n21226 31853\n6073 9124\n24929 37432\n83568 100000\n55329 83001\n46575 69957\n13745 20569\n28127 42224\n83997 100000\n46639 70052\n10644 15920\n66123 99191\n490 738\n37232 55875\n62697 94065\n74078 100000\n92791 100000\n6044 9078\n87819 100000\n44667 67067\n23133 34733\n68198 100000\n42772 64254\n90041 100000\n73769 100000\n82544 100000\n78379 100000\n69519 100000\n94570 100000\n94615 100000\n57011 85539\n39471 59243\n6397 9606\n93817 100000\n30440 45703\n27798 41725\n94323 100000\n52272 78437\n68207 100000\n23025 34569\n54977 82466\n72407 100000\n83461 100000\n21351 32043\n61849 92780\n54929 82393\n47719 71671\n94704 100000\n6141 9229\n26862 40305\n6898 10359\n19760 29650\n23354 35061\n49591 74456\n18403 27618\n27657 41506\n90334 100000\n73941 100000\n63777 95658\n53744 80649\n19276 28917\n85653 100000\n93593 100000\n14137 21166\n86473 100000\n94776 100000\n39691 59570\n88058 100000\n52496 78778\n58853 88327\n45276 67980\n98677 100000\n58308 87501\n84656 100000\n41118 61731\n38692 58065\n98377 100000\n60186 90312\n10129 15148\n61892 92840\n59739 89645\n40874 61359\n57268 85908\n22051 33122\n84269 100000\n16440 24618\n35394 53128\n5695 8569\n76167 100000\n886 1333\n74210 100000\n54087 81158\n42390 63671\n36504 54783\n39633 59482\n41602 62473\n15193 22746\n49659 74553\n97269 100000\n70069 100000\n72958 100000\n97578 100000\n28722 43114\n45717 68641\n57565 86358\n77329 100000\n11275 16879\n28438 42699\n31510 47308\n15280 22875\n55313 82975\n13527 20262\n77266 100000\n32752 49170\n30530 45844\n49829 74806\n61535 92314\n98716 100000\n13608 20373\n45269 67970\n31224 46883\n13034 19532\n77761 100000\n1858 2790\n1231 1829\n45132 67770\n18560 27857\n72233 100000\n32153 48274\n51818 77771\n71670 100000\n85795 100000\n72219 100000\n84136 100000\n58441 87702\n15893 23793\n82034 100000\n42630 64032\n16739 25078\n68953 100000\n3450 5198\n15892 23791\n21285 31942\n22031 33092\n47832 71838\n89632 100000\n34223 51386\n64042 96066\n36668 55023\n1287 1908\n29007 43554\n90147 100000\n21420 32150\n48881 73406\n42983 64571\n88096 100000\n28784 43207\n11090 16603\n36768 55165\n66089 99137\n46675 70107\n7411 11134\n94314 100000\n60523 90805\n47594 71480\n27442 41180\n76514 100000\n32264 48445\n51202 76838\n32952 49467\n77062 100000\n12450 18651\n32681 49064\n39073 58641\n55477 83230\n87793 100000\n92750 100000\n70594 100000\n35658 53524\n90473 100000\n89199 100000\n26607 39917\n4416 6645\n6917 10387\n43105 64753\n69056 100000\n98338 100000\n75856 100000\n43902 65933\n83956 100000\n93075 100000\n23408 35138\n15973 23915\n50281 75466\n28876 43351\n38179 57296\n80438 100000\n59250 88912\n35636 53494\n70550 100000\n15309 22921\n32481 48769\n25646 38475\n64455 96695\n79764 100000\n81909 100000\n49151 73817\n43275 65006\n66885 100000\n17516 26274\n14931 22350\n90864 100000\n44990 67565\n96895 100000\n30920 46432\n11346 16982\n45317 68040\n86195 100000\n62294 93455\n22483 33762\n38675 58037\n36311 54492\n41540 62376\n2940 4424\n18355 27539\n24124 36222\n66886 100000\n78400 100000\n75116 100000\n93465 100000\n55137 82716\n71015 100000\n16625 24914\n56574 84883\n68891 100000\n2192 3284\n3580 5390\n60358 90560\n33767 50698\n67112 100000\n38682 58048\n51149 76758\n55418 83141\n96950 100000\n91129 100000\n62427 93657\n32864 49335\n53807 80741\n33364 50084\n76675 100000\n9007 13480\n99339 100000\n25476 38225\n53203 79831\n33714 50613\n76156 100000\n14965 22402\n96721 100000\n80632 100000\n47944 72005\n20718 31091\n14245 21328\n40137 60235\n71366 100000\n88910 100000\n12973 19439\n33822 50784\n84659 100000\n54100 81178\n83311 100000\n35354 53076\n84238 100000\n33794 50739\n99329 100000\n4178 6289\n62886 94341\n75669 100000\n41243 61919\n72321 100000\n12696 19021\n62992 94492\n83585 100000\n79523 100000\n98983 100000\n73873 100000\n20129 30199\n12197 18264\n60737 91119\n36927 55412\n11697 17515\n78936 100000\n28447 42711\n78617 100000\n80576 100000\n94110 100000\n79319 100000\n38643 57984\n1381 2060\n24683 37065\n85524 100000\n72533 100000\n77991 100000\n39387 59119\n19666 29514\n33489 50273\n12965 19426\n84847 100000\n23409 35140\n93381 100000\n4829 7252\n33875 50870\n65190 97782\n79955 100000\n58762 88192\n74954 100000\n39390 59124\n88227 100000\n7148 10728\n56571 84878\n62152 93241\n43314 65067\n41054 61626\n37462 56222\n41453 62244\n16091 24097\n21890 32882\n44914 67445\n28130 42229\n32240 48405\n45421 68195\n60245 90393\n19646 29485\n90660 100000\n73329 100000\n98074 100000\n67740 100000\n18897 28347\n94329 100000\n24797 37230\n75678 100000\n30102 45183\n36015 54054\n97598 100000\n3335 5017\n97229 100000\n13173 19738\n66042 99067\n37750 56657\n95865 100000\n30577 45914\n89287 100000\n40113 60202\n30877 46365\n99812 100000\n58621 87981\n76005 100000\n4583 6895\n73453 100000\n95140 100000\n75836 100000\n85895 100000\n70506 100000\n57234 85861\n91089 100000\n37546 56349\n28627 42981\n61686 92532\n85383 100000\n80721 100000\n25674 38516\n72117 100000\n86153 100000\n27609 41432\n17032 25530\n74461 100000\n43527 65371\n87162 100000\n70622 100000\n86396 100000\n95679 100000\n43151 64823\n75404 100000\n3275 4923\n27499 41274\n48629 73036\n46201 69372\n45244 67933\n9104 13624\n6078 9133\n91221 100000\n29275 43949\n29492 44268\n75718 100000\n21128 31708\n96461 100000\n26972 40466\n34175 51316\n19227 28849\n85416 100000\n55634 83470\n4677 7033\n69470 100000\n44694 67105\n34156 51287\n28858 43326\n97099 100000\n69411 100000\n41075 61661\n13887 20782\n80418 100000\n21830 32786\n22270 33452\n9832 14707\n73301 100000\n71861 100000\n11358 17001\n69880 100000\n62047 93081\n28020 42063\n51102 76692\n27914 41900\n94339 100000\n22766 34177\n56062 84110\n70958 100000\n57671 86514\n28274 42455\n16650 24948\n16812 25194\n5069 7617\n20598 30926\n66183 99284\n27369 41069\n60058 90119\n8298 12446\n20721 31095\n8163 12243\n81775 100000\n61384 92079\n56917 85387\n1852 2784\n19994 29991\n27149 40737\n16989 25468\n39861 59828\n67953 100000\n57489 86244\n4686 7046\n60424 90661\n35559 53377\n96297 100000\n91314 100000\n26648 39977\n32440 48707\n78063 100000\n57985 86989\n51342 77043\n64077 96120\n94842 100000\n63267 94899\n54361 81564\n19539 29329\n31633 47491\n37835 56785\n85557 100000\n84385 100000\n66995 100000\n37394 56117\n28695 43080\n84622 100000\n26813 40231\n58074 87129\n34707 52107\n75476 100000\n14346 21473\n49567 74424\n20257 30397\n54631 81949\n47776 71752\n97150 100000\n96829 100000\n58951 88466\n38136 57235\n46385 69665\n23022 34565\n2090 3132\n71631 100000\n35968 53982\n44873 67381\n67897 100000\n95368 100000\n12092 18110\n24842 37299\n79176 100000\n54267 81426\n49950 74974\n46743 70202\n30037 45087\n98620 100000\n72880 100000\n32698 49087\n69860 100000\n3713 5591\n13488 20202\n65112 97665\n30240 45400\n74239 100000\n16486 24688\n84266 100000\n5119 7691\n63189 94785\n2124 3182\n71359 100000\n88373 100000\n8578 12850\n55643 83483\n53259 79909\n65091 97634\n33 50\n5496 8269\n30940 46458\n36436 54679\n45457 68253\n59842 89796\n99550 100000\n92462 100000\n45750 68691\n74235 100000\n11856 17757\n14755 22087\n66865 100000\n41861 62866\n91141 100000\n8133 12195\n15644 23427\n8993 13459\n52931 79435\n40096 60174\n20382 30585\n32195 48335\n16981 25455\n87081 100000\n96915 100000\n84492 100000\n7784 11689\n9842 14722\n20682 31045\n52365 78575\n48922 73472\n8018 12029\n93768 100000\n69988 100000\n45462 68260\n46807 70301\n41031 61594\n47561 71432\n46781 70262\n35592 53431\n90612 100000\n65331 98000\n80556 100000\n58196 87322\n71576 100000\n18117 27182\n29675 44542\n86191 100000\n18135 27205\n91339 100000\n45082 67699\n63042 94566\n8213 12323\n9851 14733\n91539 100000\n70205 100000\n58919 88425\n36544 54844\n72549 100000\n21356 32050\n58079 87137\n92193 100000\n63889 95824\n87975 100000\n39918 59916\n30425 45681\n71235 100000\n71417 100000\n31151 46777\n17427 26140\n80213 100000\n27626 41460\n34818 52278\n48895 73428\n97410 100000\n38622 57955\n54986 82480\n12169 18223\n17609 26414\n94119 100000\n65416 98124\n30644 46017\n90563 100000\n68786 100000\n63408 95106\n30073 45141\n6509 9776\n62803 94218\n11675 17480\n38329 57514\n27999 42030\n91074 100000\n54828 82241\n94301 100000\n45676 68576\n62389 93600\n16036 24011\n62446 93684\n13775 20613\n18950 28431\n56840 85273\n94525 100000\n98475 100000\n28894 43381\n49019 73618\n90321 100000\n50707 76091\n59951 89960\n97233 100000\n46503 69848\n11511 17227\n75624 100000\n12853 19259\n6249 9384\n27746 41643\n15751 23582\n80670 100000\n1571 2350\n19714 29583\n30078 45146\n13434 20126\n98300 100000\n29824 44758\n38125 57219\n53493 80271\n5751 8649\n33509 50305\n97648 100000\n77769 100000\n65170 97755\n79740 100000\n18296 27451\n77144 100000\n60738 91120\n14537 21757\n30320 45519\n64609 96916\n37487 56259\n17456 26186\n99264 100000\n27167 40761\n40281 60449\n95290 100000\n87592 100000\n44718 67138\n74922 100000\n54533 81810\n90887 100000\n13998 20951\n76889 100000\n90809 100000\n24211 36345\n9160 13713\n26362 39555\n95434 100000\n80974 100000\n7905 11864\n9559 14303\n79624 100000\n54403 81620\n77966 100000\n4078 6147\n93201 100000\n40534 60831\n6809 10222\n44326 66572\n47319 71070\n13835 20703\n94668 100000\n155 234\n7478 11235\n31645 47505\n87844 100000\n41210 61872\n75578 100000\n90057 100000\n62759 94155\n39165 58782\n32832 49292\n68024 100000\n1820 2732\n39270 58936\n42314 63549\n43982 66052\n16741 25082\n15242 22820\n53598 80429\n154 233\n22933 34431\n18165 27256\n22642 33996\n92958 100000\n41909 62940\n45935 68969\n84887 100000\n25005 37545\n82067 100000\n76375 100000\n11933 17879\n72245 100000\n16572 24832\n24749 37161\n50948 76461\n26165 39249\n73734 100000\n55928 83902\n98928 100000\n10277 15363\n60540 90827\n78301 100000\n55220 82840\n78391 100000\n67132 100000\n43300 65043\n55943 83925\n36027 54074\n13263 19874\n93497 100000\n35662 53530\n60194 90322\n80121 100000\n15212 22776\n77113 100000\n13662 20448\n71586 100000\n16072 24067\n63071 94611\n904 1363\n97137 100000\n38409 57632\n70227 100000\n21986 33024\n59722 89618\n6399 9609\n6269 9416\n22150 33272\n92798 100000\n46232 69422\n96502 100000\n78319 100000\n72562 100000\n52067 78141\n93957 100000\n70867 100000\n57112 85686\n50479 75755\n56018 84041\n27049 40582\n23548 35351\n85117 100000\n38761 58172\n77671 100000\n38093 57167\n23120 34715\n28009 42045\n71384 100000\n35089 52674\n83693 100000\n18747 28135\n72627 100000\n38353 57549\n17441 26163\n28433 42692\n96307 100000\n32625 48984\n58186 87305\n52351 78554\n113 171\n88739 100000\n43417 65216\n24378 36598\n19460 29203\n80017 100000\n3401 5120\n43749 65703\n90184 100000\n32463 48747\n68472 100000\n86888 100000\n86186 100000\n43655 65561\n96651 100000\n88958 100000\n10474 15661\n74322 100000\n71538 100000\n14562 21799\n25858 38783\n60639 90976\n73869 100000\n36003 54036\n72830 100000\n14668 21955\n97701 100000\n20458 30709\n97783 100000\n85686 100000\n13064 19579\n49000 73587\n50244 75411\n94095 100000\n98190 100000\n82092 100000\n57320 85987\n76179 100000\n19655 29498\n42260 63461\n34666 52046\n39194 58822\n2707 4065\n12880 19301\n67884 100000\n48053 72169\n91099 100000\n42068 63174\n59848 89805\n10124 15141\n26961 40454\n77019 100000\n87579 100000\n88397 100000\n42613 64007\n78937 100000\n52250 78406\n29957 44965\n2465 3698\n75050 100000\n94047 100000\n70605 100000\n84730 100000\n15338 22969\n67551 100000\n32781 49217\n7430 11164\n36746 55133\n77494 100000\n24664 37037\n70618 100000\n86622 100000\n74907 100000\n62657 94002\n63959 95937\n61983 92977\n56268 84416\n19636 29469\n24991 37528\n2843 4266\n10498 15700\n19357 29042\n66303 99457\n23951 35950\n33096 49680\n93686 100000\n47093 70730\n84524 100000\n96346 100000\n14087 21086\n69418 100000\n96068 100000\n94464 100000\n673 1019\n13449 20145\n38122 57216\n66661 99979\n69117 100000\n80964 100000\n89434 100000\n38597 57920\n92325 100000\n75609 100000\n59285 88964\n68590 100000\n89967 100000\n97585 100000\n30054 45112\n2515 3773\n71707 100000\n35713 53601\n46958 70522\n15271 22860\n19724 29597\n72822 100000\n85983 100000\n74243 100000\n21708 32592\n63277 94913\n30843 46314\n87821 100000\n82744 100000\n44474 66787\n2615 3926\n49578 74436\n11780 17639\n97164 100000\n42728 64181\n57203 85820\n89033 100000\n5823 8756\n16162 24200\n84426 100000\n29322 44018\n96593 100000\n46921 70467\n73420 100000\n17797 26703\n82711 100000\n35835 53787\n50907 76402\n91528 100000\n37861 56825\n70809 100000\n9159 13711\n56783 85186\n46016 69090\n81559 100000\n95546 100000\n52576 78895\n90508 100000\n92328 100000\n89150 100000\n75012 100000\n49888 74894\n46371 69639\n36459 54712\n33584 50418\n72539 100000\n55072 82609\n58028 87053\n78268 100000\n21854 32823\n98714 100000\n15745 23572\n15872 23763\n87904 100000\n45041 67639\n58505 87801\n88512 100000\n38811 58249\n40768 61195\n96457 100000\n48396 72679\n12628 18921\n43208 64907\n59972 89988\n11271 16872\n17915 26886\n17576 26359\n87660 100000\n92106 100000\n95670 100000\n11444 17129\n44425 66719\n34400 51652\n6615 9929\n12704 19032\n90881 100000\n80612 100000\n4430 6667\n94954 100000\n51009 76549\n35271 52952\n45251 67945\n54958 82435\n49213 73907\n52238 78388\n58150 87250\n51647 77511\n92198 100000\n63876 95805\n622 939\n85659 100000\n60195 90324\n32755 49174\n8128 12187\n55113 82676\n19063 28599\n36575 54888\n72901 100000\n69512 100000\n10147 15176\n23564 35373\n63849 95763\n16782 25143\n11498 17210\n51532 77331\n12568 18833\n81017 100000\n59834 89785\n45130 67767\n72992 100000\n42325 63568\n18866 28307\n60359 90561\n78733 100000\n60819 91237\n7120 10683\n14554 21786\n5720 8605\n74652 100000\n86535 100000\n97780 100000\n6603 9913\n39184 58808\n61895 92844\n86841 100000\n94761 100000\n33735 50650\n40012 60049\n96069 100000\n99094 100000\n11200 16768\n25601 38407\n79980 100000\n23360 35071\n24626 36976\n21149 31737\n43984 66055\n43758 65715\n49796 74757\n89877 100000\n54352 81553\n79320 100000\n4578 6888\n48128 72273\n50893 76380\n5295 7961\n50589 75919\n37586 56415\n95741 100000\n32096 48190\n9780 14629\n66694 100000\n4109 6193\n51921 77916\n8588 12866\n24713 37108\n20869 31318\n12922 19362\n45702 68617\n59533 89335\n13710 20518\n42259 63460\n13569 20321\n75311 100000\n88263 100000\n84679 100000\n92303 100000\n28026 42074\n88173 100000\n55196 82806\n57971 86968\n97062 100000\n2014 3017\n76872 100000\n33621 50471\n70360 100000\n78435 100000\n34606 51949\n54187 81306\n509 767\n34999 52544\n14581 21827\n49995 75043\n24398 36627\n4028 6075\n9330 13969\n28331 42537\n79936 100000\n33378 50105\n15220 22787\n63024 94539\n93490 100000\n65108 97659\n92862 100000\n50840 76302\n55887 83840\n48075 72200\n33632 50488\n16929 25374\n92531 100000\n36579 54893\n74512 100000\n91831 100000\n4079 6149\n2632 3955\n4560 6860\n91978 100000\n2606 3911\n79904 100000\n66701 100000\n84335 100000\n63258 94886\n8800 13177\n75992 100000\n37515 56299\n99838 100000\n79692 100000\n60501 90771\n20389 30597\n25839 38756\n54762 82143\n60150 90254\n36633 54972\n37128 55711\n45230 67914\n97831 100000\n27774 41688\n49585 74446\n32758 49180\n77497 100000\n68479 100000\n41372 62122\n82306 100000\n29333 44036\n28489 42771\n87001 100000\n49614 74490\n3271 4917\n14485 21678\n40945 61463\n53294 79960\n38503 57776\n41454 62245\n28040 42097\n94262 100000\n18854 28290\n88377 100000\n29754 44658\n90816 100000\n88463 100000\n33827 50792\n96973 100000\n63569 95351\n50952 76467\n80599 100000\n77349 100000\n63324 94984\n92621 100000\n46829 70337\n13943 20868\n13640 20416\n5027 7552\n46078 69183\n76965 100000\n50526 75824\n49509 74338\n51145 76752\n49883 74887\n217 329\n32112 48216\n81666 100000\n3048 4583\n38788 58216\n35177 52807\n41824 62813\n42055 63154\n37292 55965\n52423 78664\n58309 87503\n54167 81276\n31602 47447\n15453 23150\n34403 51656\n62695 94062\n30475 45759\n66232 99357\n36783 55187\n52705 79092\n9005 13476\n88079 100000\n51345 77047\n41414 62186\n81278 100000\n10679 15977\n91890 100000\n25344 38037\n35015 52569\n30400 45640\n51901 77888\n9678 14471\n83225 100000\n89475 100000\n78158 100000\n35235 52897\n10640 15916\n19621 29448\n3614 5440\n83689 100000\n65264 97894\n31097 46699\n62596 93915\n83085 100000\n90777 100000\n82669 100000\n44611 66989\n57928 86905\n35465 53237\n56702 85073\n2088 3129\n6279 9433\n25181 37803\n87690 100000\n92443 100000\n68294 100000\n92633 100000\n59786 89716\n51288 76965\n26054 39081\n87320 100000\n70682 100000\n40452 60707\n23182 34807\n67985 100000\n29109 43704\n11254 16848\n84040 100000\n46867 70389\n22455 33716\n41092 61686\n36905 55377\n18152 27235\n42170 63328\n60011 90044\n64280 96423\n48317 72555\n38528 57815\n51529 77326\n49582 74442\n36447 54697\n83153 100000\n30510 45812\n94517 100000\n59391 89123\n45273 67976\n96275 100000\n92902 100000\n98981 100000\n21975 33010\n66635 99941\n81083 100000\n74159 100000\n8867 13275\n70450 100000\n84020 100000\n24413 36649\n43028 64637\n92566 100000\n52387 78608\n706 1067\n46605 70001\n6082 9138\n24238 36380\n91790 100000\n59675 89549\n65555 98332\n79118 100000\n79269 100000\n45754 68698\n1718 2578\n81890 100000\n30467 45746\n91640 100000\n42085 63200\n63023 94538\n11868 17776\n76841 100000\n2204 3304\n93350 100000\n84392 100000\n46510 69859\n28231 42387\n42461 63781\n57910 86878\n91720 100000\n62127 93200\n78926 100000\n2385 3581\n10917 16339\n35425 53178\n57392 86096\n45890 68902\n99781 100000\n63560 95337\n71108 100000\n17270 25905\n34077 51183\n78609 100000\n98046 100000\n49407 74180\n89305 100000\n41141 61766\n88229 100000\n68439 100000\n92723 100000\n50741 76152\n52023 78075\n95235 100000\n35674 53547\n78212 100000\n9737 14561\n57034 85577\n58547 87864\n64622 96934\n26891 40346\n96110 100000\n50384 75620\n63654 95477\n38274 57433\n57780 86678\n98794 100000\n85181 100000\n87891 100000\n67020 100000\n5386 8095\n81201 100000\n20445 30689\n36892 55356\n45558 68401\n61097 91650\n10465 15647\n46172 69327\n37366 56075\n2054 3076\n5361 8055\n22515 33811\n92320 100000\n87995 100000\n10786 16145\n26536 39813\n63425 95131\n89719 100000\n98085 100000\n16656 24959\n55366 83054\n2368 3556\n738 1111\n7638 11473\n42642 64047\n76309 100000\n2102 3147\n38695 58070\n51733 77639\n8636 12932\n91235 100000\n47248 70966\n15960 23892\n704 1065\n73569 100000\n78624 100000\n38344 57536\n33125 49725\n61551 92340\n29330 44032\n96886 100000\n80643 100000\n30367 45589\n68121 100000\n8143 12211\n51240 76891\n54483 81739\n86616 100000\n10489 15685\n6594 9901\n47899 71943\n11014 16487\n69887 100000\n29838 44781\n27501 41277\n73479 100000\n39612 59453\n75299 100000\n32113 48217\n12254 18347\n1282 1902\n98678 100000\n48856 73368\n69281 100000\n9374 14033\n74496 100000\n1446 2163\n28514 42810\n58915 88420\n74574 100000\n95770 100000\n26849 40288\n28023 42068\n10011 14967\n32530 48836\n97683 100000\n20628 30965\n87125 100000\n54199 81324\n14703 22007\n12394 18565\n22011 33062\n94899 100000\n25057 37621\n17483 26222\n58192 87315\n88660 100000\n77209 100000\n16831 25223\n33840 50811\n13433 20124\n16962 25426\n85142 100000\n74482 100000\n43531 65377\n80570 100000\n8242 12363\n78834 100000\n76477 100000\n74107 100000\n10385 15526\n62568 93874\n3004 4519\n16990 25470\n39700 59584\n12114 18142\n96814 100000\n48367 72633\n33546 50364\n54083 81151\n11477 17175\n83866 100000\n17957 26944\n89722 100000\n6524 9798\n3017 4537\n94976 100000\n20570 30878\n76547 100000\n4488 6751\n21225 31852\n22433 33683\n75587 100000\n77500 100000\n85017 100000\n21396 32112\n44429 66725\n80628 100000\n64881 97319\n98145 100000\n93665 100000\n69451 100000\n49006 73598\n47552 71420\n45666 68561\n79522 100000\n27124 40701\n45684 68590\n45838 68820\n31456 47233\n82280 100000\n66552 99826\n2270 3404\n83274 100000\n38825 58268\n39669 59537\n59944 89949\n89640 100000\n59116 88709\n90535 100000\n63894 95832\n16243 24321\n7402 11122\n67984 100000\n36468 54726\n62009 93016\n8006 12010\n50382 75617\n39157 58770\n61119 91685\n6705 10065\n84536 100000\n35899 53884\n56378 84584\n22078 33162\n57690 86543\n10892 16307\n85253 100000\n65251 97874\n64716 97076\n39988 60011\n17382 26072\n17825 26748\n23838 35780\n58157 87261\n72588 100000\n15690 23495\n7700 11567\n99606 100000\n57187 85795\n31124 46740\n49035 73639\n76956 100000\n75129 100000\n13526 20260\n62804 94220\n57425 86144\n43803 65783\n91238 100000\n58562 87887\n5752 8650\n92800 100000\n91257 100000\n29098 43686\n58803 88250\n83046 100000\n2042 3058\n52967 79487\n22003 33049\n10725 16048\n96611 100000\n84120 100000\n71154 100000\n77403 100000\n47214 70911\n67202 100000\n69243 100000\n43274 65005\n21316 31992\n41830 62822\n70459 100000\n49383 74141\n31759 47677\n35860 53824\n33351 50065\n19039 28561\n3033 4559\n33633 50489\n85860 100000\n56764 85159\n87523 100000\n76460 100000\n9405 14081\n68171 100000\n39854 59816\n17866 26809\n24034 36084\n40163 60274\n56683 85047\n91419 100000\n73421 100000\n78582 100000\n71682 100000\n15704 23514\n5258 7902\n54296 81471\n27433 41164\n89670 100000\n47082 70713\n84556 100000\n5973 8976\n81442 100000\n2449 3673\n85176 100000\n61570 92369\n94070 100000\n9980 14921\n36258 54412\n70575 100000\n63339 95006\n25714 38569\n19391 29092\n38501 57772\n90615 100000\n44370 66638\n1859 2791\n20094 30145\n36309 54489\n66274 99415\n93519 100000\n64306 96464\n46585 69973\n82149 100000\n74820 100000\n62397 93611\n51408 77142\n26236 39359\n21504 32274\n10174 15214\n74266 100000\n32021 48078\n22010 33060\n74367 100000\n68759 100000\n21150 31738\n10528 15743\n56156 84252\n91333 100000\n46462 69784\n60984 91481\n99930 100000\n68722 100000\n73136 100000\n46766 70240\n52117 78216\n21175 31777\n46416 69713\n53338 80029\n96985 100000\n4516 6792\n52473 78742\n65716 98580\n51208 76846\n65234 97845\n82957 100000\n89460 100000\n12847 19249\n15173 22716\n16075 24073\n59369 89090\n91442 100000\n68500 100000\n75461 100000\n39207 58843\n43746 65698\n95462 100000\n60171 90288\n87512 100000\n45383 68140\n45167 67820\n84516 100000\n72238 100000\n22291 33482\n33886 50887\n60291 90455\n19768 29663\n72856 100000\n84796 100000\n17123 25669\n69485 100000\n18783 28188\n19163 28754\n53255 79904\n26912 40377\n69930 100000\n57344 86022\n72010 100000\n56469 84726\n46459 69779\n46654 70074\n99690 100000\n6678 10028\n45949 68990\n55269 82912\n24621 36970\n60439 90681\n18796 28207\n43854 65858\n90172 100000\n37277 55941\n22447 33705\n22843 34292\n99415 100000\n1582 2369\n53752 80660\n97489 100000\n402 609\n40136 60234\n88268 100000\n52336 78532\n740 1114\n18433 27659\n17112 25650\n55611 83434\n97980 100000\n83729 100000\n12163 18214\n29108 43702\n41279 61979\n96990 100000\n30438 45700\n9638 14413\n35922 53917\n76624 100000\n46149 69287\n56545 84840\n16937 25387\n83265 100000\n88187 100000\n5148 7733\n96589 100000\n87433 100000\n14575 21818\n46545 69913\n62439 93676\n8845 13240\n28735 43136\n76823 100000\n92126 100000\n33909 50922\n10497 15698\n8020 12032\n96330 100000\n15461 23164\n39343 59048\n11790 17656\n58133 87226\n68012 100000\n34457 51733\n68401 100000\n61412 92125\n20983 31487\n8289 12433\n96219 100000\n68816 100000\n70299 100000\n33634 50491\n9722 14538\n59595 89425\n77871 100000\n93019 100000\n75439 100000\n94204 100000\n39675 59545\n54808 82210\n11836 17726\n82418 100000\n76579 100000\n64273 96412\n52623 78969\n71804 100000\n79383 100000\n96452 100000\n66862 100000\n50536 75837\n92507 100000\n11341 16976\n36373 54586\n83361 100000\n77335 100000\n11121 16646\n87407 100000\n98417 100000\n18261 27397\n83092 100000\n16908 25342\n96845 100000\n397 602\n93989 100000\n16227 24297\n16802 25175\n30001 45032\n6347 9532\n37276 55940\n23006 34540\n88031 100000\n54369 81575\n53554 80359\n87973 100000\n6089 9150\n81410 100000\n68062 100000\n45988 69048\n62860 94307\n79970 100000\n57521 86288\n40638 60992\n11663 17459\n26932 40408\n92991 100000\n61601 92411\n42722 64170\n47395 71186\n58153 87255\n37709 56594\n81459 100000\n35306 53001\n98215 100000\n60279 90437\n76252 100000\n22688 34063\n30353 45568\n97234 100000\n68644 100000\n15551 23292\n94541 100000\n23164 34781\n80631 100000\n3719 5597\n71953 100000\n97646 100000\n18961 28449\n11359 17002\n18087 27134\n16517 24739\n31714 47599\n31821 47773\n99847 100000\n65833 98754\n42800 64297\n9524 14259\n21894 32888\n40921 61429\n63345 95014\n74209 100000\n21454 32198\n46365 69629\n39334 59034\n87171 100000\n29618 44457\n32342 48560\n81377 100000\n61590 92394\n45461 68258\n14442 21617\n23163 34779\n11555 17294\n77821 100000\n22006 33055\n43070 64698\n64661 96993\n44397 66679\n61963 92946\n2888 4339\n21680 32551\n47198 70889\n71057 100000\n81000 100000\n58310 87505\n85273 100000\n40470 60734\n31083 46680\n83339 100000\n72401 100000\n24584 36916\n52663 79029\n69948 100000\n27322 40996\n28349 42562\n85587 100000\n67599 100000\n83457 100000\n98801 100000\n60284 90445\n65274 97911\n28290 42478\n66892 100000\n96649 100000\n28802 43234\n4184 6298\n44296 66527\n23689 35555\n96327 100000\n64132 96198\n20004 30008\n99806 100000\n17927 26906\n99281 100000\n53679 80545\n19790 29695\n74769 100000\n19496 29260\n56014 84034\n76457 100000\n1738 2609\n61228 91847\n31911 47910\n54261 81420\n60176 90296\n90406 100000\n60993 91494\n80244 100000\n6976 10471\n11711 17538\n5035 7564\n532 802\n42466 63787\n26642 39967\n90759 100000\n18592 27903\n28097 42181\n23949 35947\n88282 100000\n55254 82888\n95461 100000\n52290 78461\n14191 21247\n50019 75074\n51462 77224\n86500 100000\n3663 5514\n78836 100000\n65623 98440\n69877 100000\n6629 9949\n86256 100000\n62237 93368\n69445 100000\n32804 49251\n70986 100000\n45498 68316\n11811 17690\n12553 18811\n42360 63622\n30852 46328\n26900 40360\n25657 38490\n22308 33505\n18071 27109\n68326 100000\n53585 80409\n51521 77313\n99576 100000\n76254 100000\n91605 100000\n56750 85142\n46824 70328\n81253 100000\n70144 100000\n47073 70701\n88582 100000\n28095 42179\n49662 74559\n2271 3406\n33848 50827\n89000 100000\n77523 100000\n28855 43321\n89173 100000\n79888 100000\n33414 50156\n4607 6928\n2049 3068\n46237 69428\n99489 100000\n4350 6549\n20158 30243\n93887 100000\n48277 72492\n38957 58464\n98837 100000\n10345 15466\n3156 4745\n26716 40084\n78760 100000\n24800 37235\n31311 47008\n61765 92650\n10891 16305\n76329 100000\n30617 45974\n81476 100000\n51600 77435\n63784 95669\n90772 100000\n16824 25212\n64757 97136\n3302 4965\n85762 100000\n82813 100000\n37194 55814\n24769 37190\n87870 100000\n45388 68149\n61398 92102\n81209 100000\n3258 4898\n26767 40160\n20074 30114\n55124 82694\n97334 100000\n95755 100000\n42425 63728\n55037 82553\n67266 100000\n90963 100000\n73122 100000\n34169 51306\n67778 100000\n19434 29164\n10416 15573\n13806 20659\n62599 93920\n32815 49269\n84074 100000\n62877 94330\n13202 19781\n94763 100000\n2695 4047\n45098 67721\n57975 86975\n17982 26979\n36243 54388\n55117 82682\n40824 61276\n4577 6886\n6745 10128\n22 33\n47036 70642\n79583 100000\n48015 72111\n89907 100000\n94394 100000\n72658 100000\n33553 50374\n78951 100000\n25545 38323\n2031 3042\n9669 14458\n27899 41879\n92417 100000\n13968 20909\n36257 54411\n46480 69813\n2569 3855\n98527 100000\n98611 100000\n52233 78381\n56774 85174\n36060 54125\n10540 15759\n31317 47018\n33043 49607\n82779 100000\n68483 100000\n79144 100000\n92119 100000\n29042 43605\n86203 100000\n95274 100000\n13843 20715\n54274 81438\n35895 53877\n22709 34094\n36608 54938\n17863 26805\n77508 100000\n16586 24853\n46259 69463\n48425 72721\n40168 60279\n54625 81939\n66344 99518\n66476 99719\n19003 28511\n7978 11971\n80975 100000\n76383 100000\n9588 14344\n74213 100000\n14525 21739\n40201 60327\n42704 64143\n97747 100000\n48050 72166\n75822 100000\n2335 3506\n3249 4886\n28388 42623\n28593 42929\n87413 100000\n34647 52015\n46165 69315\n62363 93559\n77687 100000\n99683 100000\n40303 60482\n44324 66570\n66189 99295\n99876 100000\n19997 29996\n88237 100000\n59907 89889\n33688 50574\n40728 61132\n47877 71904\n64695 97043\n3428 5164\n8569 12837\n27135 40719\n98333 100000\n67774 100000\n89709 100000\n70838 100000\n70004 100000\n45680 68583\n53797 80728\n62259 93403\n91358 100000\n12109 18136\n67303 100000\n55341 83020\n17058 25569\n76657 100000\n24064 36128\n90620 100000\n8699 13028\n15127 22642\n56103 84169\n99804 100000\n44852 67349\n57275 85918\n78569 100000\n27429 41158\n79271 100000\n45309 68028\n90356 100000\n91454 100000\n46995 70575\n3588 5400\n61569 92368\n35021 52579\n18938 28413\n70132 100000\n17995 26997\n96608 100000\n21332 32015\n17408 26111\n70327 100000\n69802 100000\n63195 94794\n59795 89730\n74615 100000\n92578 100000\n66074 99115\n15771 23615\n21141 31725\n67229 100000\n38002 57038\n36658 55010\n55979 83981\n44196 66380\n93095 100000\n17097 25628\n21376 32080\n64277 96417\n43981 66050\n26378 39579\n49817 74789\n8516 12758\n31720 47610\n50377 75610\n19451 29190\n72940 100000\n94958 100000\n31464 47246\n49870 74868\n78488 100000\n18862 28302\n92551 100000\n65371 98060\n62219 93342\n88302 100000\n53600 80432\n16670 24979\n23965 35973\n31432 47195\n65318 97981\n87203 100000\n30987 46533\n96129 100000\n6847 10281\n61077 91618\n93935 100000\n37492 56268\n86886 100000\n758 1141\n25698 38547\n19772 29671\n60053 90113\n1160 1728\n59975 89992\n96703 100000\n89469 100000\n96063 100000\n34952 52476\n93090 100000\n31082 46678\n37811 56749\n7850 11786\n50212 75361\n90173 100000\n90049 100000\n59033 88590\n32426 48686\n54408 81626\n84073 100000\n19502 29269\n82467 100000\n77767 100000\n46566 69945\n42011 63089\n12655 18963\n5350 8038\n40194 60319\n83658 100000\n80304 100000\n92732 100000\n23592 35415\n42351 63609\n20190 30293\n2886 4335\n32761 49184\n17710 26573\n17949 26935\n80891 100000\n54957 82434\n21882 32868\n98514 100000\n81768 100000\n59592 89421\n31561 47383\n61912 92871\n73708 100000\n15611 23381\n98168 100000\n57612 86427\n21822 32773\n47292 71031\n17635 26456\n84697 100000\n97134 100000\n36742 55127\n39686 59563\n95388 100000\n39783 59710\n27293 40952\n37454 56209\n95373 100000\n41580 62438\n27136 40721\n19520 29298\n51368 77082\n43436 65242\n7562 11358\n25465 38208\n87185 100000\n73361 100000\n40361 60575\n69686 100000\n24947 37456\n93006 100000\n99793 100000\n34840 52310\n45352 68095\n52936 79443\n33922 50941\n15480 23192\n2662 3998\n50759 76180\n54883 82321\n70503 100000\n47884 71917\n92133 100000\n27316 40987\n93527 100000\n92140 100000\n21464 32213\n92467 100000\n46338 69584\n81791 100000\n34425 51686\n12127 18164\n13623 20393\n49570 74428\n36357 54562\n36725 55104\n60770 91169\n13518 20247\n90830 100000\n26214 39327\n16974 25445\n89565 100000\n54606 81913\n87905 100000\n35034 52597\n90451 100000\n3368 5069\n3111 4676\n28782 43205\n46184 69345\n13004 19486\n21119 31695\n6577 9878\n57078 85640\n82925 100000\n35537 53346\n11384 17039\n82734 100000\n81547 100000\n66343 99517\n48436 72738\n89807 100000\n68631 100000\n93313 100000\n72295 100000\n84988 100000\n13969 20911\n34815 52272\n18430 27655\n22789 34210\n93640 100000\n43265 64990\n6388 9593\n36344 54541\n22790 34212\n15230 22802\n80826 100000\n7210 10828\n79625 100000\n92950 100000\n25486 38239\n81297 100000\n36096 54175\n23188 34816\n64407 96615\n31426 47185\n39464 59232\n49969 75002\n44570 66927\n81422 100000\n82881 100000\n26905 40366\n38339 57529\n45177 67835\n58761 88191\n18488 27743\n82634 100000\n41041 61609\n76438 100000\n55189 82796\n69302 100000\n75821 100000\n97416 100000\n66749 100000\n65550 98324\n76900 100000\n33530 50337\n63411 95110\n1124 1673\n25715 38570\n45478 68287\n12037 18036\n30381 45609\n45605 68473\n48988 73570\n34411 51664\n86233 100000\n88677 100000\n95291 100000\n76104 100000\n60349 90544\n97309 100000\n51806 77752\n61257 91893\n24452 36711\n83273 100000\n80254 100000\n87537 100000\n17813 26728\n85475 100000\n26083 39123\n85811 100000\n83991 100000\n2159 3237\n12495 18719\n13431 20122\n14391 21537\n12963 19422\n44484 66801\n57525 86296\n26490 39745\n18722 28098\n63782 95666\n60926 91397\n67598 100000\n80427 100000\n67710 100000\n89179 100000\n75975 100000\n66795 100000\n76302 100000\n25912 38858\n84141 100000\n99621 100000\n19530 29315\n15135 22654\n46044 69130\n46058 69153\n29519 44309\n65669 98508\n54715 82072\n57168 85767\n8871 13279\n63700 95545\n53542 80343\n92711 100000\n37632 56483\n56581 84891\n4009 6047\n12504 18735\n37617 56461\n41636 62525\n7516 11291\n41409 62181\n45781 68735\n61454 92188\n25067 37632\n24345 36545\n42030 63119\n58272 87444\n77537 100000\n91747 100000\n42720 64168\n74230 100000\n44839 67327\n86645 100000\n82633 100000\n35143 52756\n26320 39491\n36212 54341\n73678 100000\n55097 82651\n79545 100000\n81121 100000\n61801 92703\n87949 100000\n76949 100000\n27994 42024\n2794 4198\n86237 100000\n61110 91672\n61887 92834\n64749 97123\n21291 31953\n9941 14869\n57767 86657\n16023 23989\n33759 50687\n64775 97163\n29606 44438\n8262 12390\n97765 100000\n23488 35264\n23710 35590\n85842 100000\n51121 76719\n64174 96260\n44376 66649\n53392 80109\n51588 77418\n45926 68957\n89707 100000\n98844 100000\n67118 100000\n37329 56018\n79076 100000\n55283 82931\n31483 47273\n20127 30196\n24912 37404\n42169 63327\n616 930\n48165 72329\n88346 100000\n63649 95470\n39373 59097\n89282 100000\n89909 100000\n44940 67486\n47566 71440\n12823 19214\n5487 8256\n9422 14108\n62692 94057\n77199 100000\n82931 100000\n19709 29576\n25844 38762\n99678 100000\n31621 47475\n18916 28378\n4334 6526\n71500 100000\n65969 98963\n66858 100000\n43874 65890\n58092 87160\n44736 67165\n62001 93002\n17532 26298\n36032 54083\n89338 100000\n7240 10875\n95827 100000\n33062 49635\n33404 50143\n60178 90299\n46557 69931\n45872 68874\n93532 100000\n633 956\n40418 60657\n14348 21476\n95446 100000\n53670 80533\n28380 42611\n17402 26103\n87699 100000\n26130 39187\n48989 73571\n72020 100000\n61843 92770\n23870 35825\n89031 100000\n35648 53510\n47710 71656\n94478 100000\n6326 9503\n44038 66136\n45425 68203\n80947 100000\n87764 100000\n1218 1812\n74074 100000\n17233 25845\n17676 26519\n22263 33443\n24231 36371\n48298 72526\n1338 1985\n23450 35204\n23449 35202\n8694 13020\n98403 100000\n19738 29617\n19819 29745\n34635 51996\n9433 14126\n50217 75367\n48640 73050\n98949 100000\n84075 100000\n82008 100000\n95279 100000\n49325 74062\n90353 100000\n7775 11676\n3753 5648\n85674 100000\n33992 51050\n41486 62294\n67590 100000\n83977 100000\n70875 100000\n32190 48327\n97066 100000\n63692 95532\n48604 72999\n95525 100000\n86468 100000\n41228 61897\n43362 65134\n56399 84616\n76746 100000\n22088 33177\n87043 100000\n40252 60405\n72474 100000\n39893 59881\n60086 90161\n23310 34996\n55286 82935\n21853 32821\n96546 100000\n4907 7375\n15014 22481\n42138 63280\n68806 100000\n56517 84796\n51352 77057\n93119 100000\n38879 58346\n70238 100000\n40782 61218\n31882 47867\n47135 70792\n35447 53214\n33665 50539\n52464 78727\n23509 35296\n36777 55177\n49269 73987\n41810 62791\n26287 39439\n8561 12826\n75775 100000\n70233 100000\n56636 84979\n62719 94095\n92835 100000\n58609 87962\n64528 96799\n63528 95286\n69762 100000\n38885 58354\n93717 100000\n34743 52162\n43936 65984\n49965 74995\n35790 53718\n41366 62112\n97121 100000\n57277 85922\n53827 80772\n47888 71924\n21749 32658\n86043 100000\n4199 6321\n8300 12449\n69803 100000\n40177 60293\n82782 100000\n39749 59663\n56958 85452\n5279 7934\n18748 28137\n54551 81834\n37162 55762\n93724 100000\n68756 100000\n37312 55995\n11125 16653\n89341 100000\n35328 53034\n30206 45347\n29316 44008\n35730 53624\n8719 13058\n16702 25027\n24227 36366\n40722 61124\n11704 17525\n8962 13414\n97074 100000\n44937 67481\n40689 61074\n76415 100000\n70819 100000\n38930 58422\n86794 100000\n1981 2969\n49538 74381\n69350 100000\n42087 63203\n75360 100000\n3307 4973\n29515 44301\n80789 100000\n46701 70144\n80054 100000\n87788 100000\n97368 100000\n12434 18629\n2378 3569\n86825 100000\n3331 5010\n37602 56440\n39950 59961\n96537 100000\n18011 27017\n59867 89828\n15758 23596\n29775 44685\n41440 62225\n23860 35811\n25848 38769\n63033 94551\n71129 100000\n38932 58426\n74155 100000\n19484 29241\n78454 100000\n43510 65347\n78709 100000\n65699 98552\n69540 100000\n84386 100000\n40416 60653\n38663 58019\n38271 57427\n18978 28476\n35952 53961\n15161 22697\n36667 55022\n11583 17335\n61466 92208\n22768 34179\n79782 100000\n50903 76397\n27647 41490\n27173 40771\n32010 48060\n50940 76448\n70457 100000\n92312 100000\n16105 24118\n83810 100000\n88400 100000\n51343 77045\n32057 48134\n16093 24100\n1352 2012\n81393 100000\n32246 48415\n5814 8742\n10189 15231\n41175 61816\n76418 100000\n42297 63518\n36552 54854\n24039 36091\n40060 60122\n35606 53453\n8217 12329\n54172 81284\n43629 65521\n49946 74969\n85300 100000\n4709 7081\n30564 45894\n4855 7292\n52806 79253\n84220 100000\n88365 100000\n83224 100000\n92044 100000\n26752 40136\n39027 58576\n74106 100000\n34935 52449\n23771 35679\n52393 78619\n2358 3542\n35203 52849\n59792 89725\n98718 100000\n79966 100000\n69070 100000\n52928 79431\n8683 13005\n61490 92249\n69846 100000\n46108 69227\n84491 100000\n7310 10978\n58667 88054\n50492 75775\n26502 39762\n80333 100000\n5607 8441\n30747 46170\n82815 100000\n98079 100000\n1663 2492\n91876 100000\n52404 78636\n55734 83615\n69378 100000\n17469 26206\n8538 12792\n11713 17540\n46695 70136\n53505 80289\n91645 100000\n92572 100000\n77344 100000\n48358 72616\n94359 100000\n94592 100000\n81434 100000\n11870 17780\n55501 83267\n77217 100000\n32848 49315\n87462 100000\n31203 46848\n75564 100000\n41600 62470\n34073 51177\n20408 30628\n61517 92287\n87499 100000\n34554 51873\n17457 26188\n58905 88408\n51392 77119\n88612 100000\n3743 5633\n64838 97255\n96941 100000\n76596 100000\n48782 73263\n55859 83801\n27358 41050\n28334 42540\n65457 98188\n27014 40529\n62100 93159\n11701 17522\n10585 15831\n47666 71590\n667 1010\n31455 47231\n46095 69207\n36253 54405\n17923 26899\n99238 100000\n99350 100000\n7624 11452\n86126 100000\n59161 88775\n24209 36343\n57111 85684\n46968 70533\n61269 91910\n19982 29978\n35106 52701\n24178 36297\n9183 13748\n38304 57474\n1462 2188\n58392 87628\n7409 11131\n90201 100000\n4837 7264\n88972 100000\n80278 100000\n97052 100000\n76359 100000\n70662 100000\n90263 100000\n37413 56146\n63065 94601\n99997 100000\n37324 56010\n50075 75157\n98612 100000\n52009 78055\n49271 73990\n73577 100000\n88772 100000\n77679 100000\n88288 100000\n50944 76454\n67988 100000\n65336 98009\n39957 59970\n68415 100000\n63977 95965\n87497 100000\n86679 100000\n81004 100000\n96496 100000\n47350 71114\n32435 48699\n98367 100000\n25942 38906\n58917 88422\n34204 51359\n58179 87295\n34726 52136\n85605 100000\n39078 58648\n12757 19111\n89028 100000\n38540 57834\n7155 10739\n18581 27887\n35545 53356\n72054 100000\n68837 100000\n9565 14311\n68165 100000\n97698 100000\n41136 61759\n53872 80836\n49272 73991\n35863 53829\n8940 13383\n85260 100000\n36078 54149\n45032 67627\n77039 100000\n12813 19201\n39527 59324\n58379 87608\n12486 18705\n79981 100000\n69535 100000\n48563 72933\n92040 100000\n69813 100000\n79913 100000\n27873 41836\n2381 3575\n59755 89671\n60560 90857\n941 1416\n90911 100000\n36482 54747\n68981 100000\n95342 100000\n45625 68503\n60060 90122\n96574 100000\n57900 86864\n93883 100000\n88137 100000\n23081 34656\n97669 100000\n5788 8702\n65675 98517\n6153 9248\n50771 76198\n16511 24729\n35036 52601\n18769 28164\n13903 20805\n48619 73020\n73319 100000\n1412 2108\n65886 98836\n29834 44774\n44927 67465\n98906 100000\n5185 7787\n44082 66203\n3550 5343\n11025 16505\n55940 83920\n19386 29085\n68671 100000\n85091 100000\n28351 42565\n87186 100000\n70370 100000\n85740 100000\n73657 100000\n10187 15229\n77613 100000\n39420 59161\n28852 43317\n76113 100000\n6422 9646\n77948 100000\n49493 74313\n21696 32573\n67492 100000\n94006 100000\n6364 9556\n29242 43905\n39655 59515\n21564 32363\n88776 100000\n89403 100000\n45771 68722\n67245 100000\n83744 100000\n61298 91952\n18633 27965\n10948 16387\n93469 100000\n59481 89256\n34397 51647\n45920 68949\n26941 40422\n37233 55876\n97873 100000\n54531 81807\n77616 100000\n63120 94686\n21679 32549\n59544 89350\n74179 100000\n3231 4861\n34147 51278\n83572 100000\n26902 40362\n17450 26179\n10768 16117\n20743 31127\n3912 5894\n6932 10409\n20192 30296\n65021 97530\n81336 100000\n8952 13399\n62905 94366\n66525 99784\n47991 72076\n44170 66341\n77885 100000\n24760 37176\n41353 62090\n10281 15370\n51883 77862\n99064 100000\n15865 23752\n18293 27446\n67968 100000\n75971 100000\n44142 66295\n79836 100000\n69580 100000\n16271 24364\n11699 17518\n47418 71218\n71072 100000\n70429 100000\n35867 53835\n40611 60948\n80997 100000\n6874 10324\n4948 7438\n16161 24199\n18310 27473\n46963 70527\n400 607\n97624 100000\n45962 69008\n43347 65111\n85610 100000\n74635 100000\n4460 6709\n4054 6113\n8922 13357\n13044 19548\n71643 100000\n43520 65362\n18773 28171\n2486 3729\n20809 31228\n72609 100000\n55483 83240\n88974 100000\n21208 31826\n65189 97781\n44738 67168\n69310 100000\n44959 67514\n27023 40543\n69267 100000\n98562 100000\n71609 100000\n59233 88885\n70176 100000\n69175 100000\n96827 100000\n30454 45725\n20874 31326\n22178 33313\n11495 17205\n16975 25446\n83305 100000\n99188 100000\n60888 91343\n68622 100000\n26650 39980\n35509 53302\n28182 42311\n77119 100000\n84313 100000\n75612 100000\n33813 50770\n55429 83157\n16992 25472\n66704 100000\n20629 30966\n64055 96086\n3700 5571\n85053 100000\n58477 87762\n27230 40862\n35429 53184\n42721 64169\n20359 30552\n62593 93912\n11360 17004\n90949 100000\n84874 100000\n2540 3812\n15050 22529\n41294 62000\n47971 72044\n41306 62019\n34556 51877\n77464 100000\n66249 99380\n87641 100000\n45367 68117\n98226 100000\n34779 52217\n95225 100000\n52151 78266\n20928 31408\n78288 100000\n3455 5207\n20273 30422\n78082 100000\n79668 100000\n44496 66820\n81670 100000\n79912 100000\n4169 6275\n51241 76893\n17596 26393\n19378 29073\n81433 100000\n3467 5224\n33686 50571\n73852 100000\n29925 44914\n5010 7530\n60573 90876\n74710 100000\n28272 42451\n98746 100000\n5313 7986\n33677 50555\n51766 77686\n68208 100000\n59704 89592\n23369 35083\n20137 30211\n64072 96111\n49490 74309\n24742 37148\n30191 45327\n74680 100000\n7144 10722\n62689 94053\n73886 100000\n85381 100000\n43062 64686\n64674 97012\n51836 77793\n65229 97836\n7902 11861\n37947 56957\n54308 81491\n13444 20138\n34466 51745\n8865 13271\n43029 64638\n17348 26023\n95480 100000\n33411 50152\n10007 14959\n87297 100000\n84282 100000\n90110 100000\n86297 100000\n8894 13317\n90081 100000\n75304 100000\n83183 100000\n92892 100000\n51209 76847\n37029 55569\n58188 87308\n30104 45187\n84345 100000\n12782 19153\n42931 64489\n87083 100000\n75751 100000\n68540 100000\n11135 16667\n54744 82114\n39417 59157\n31493 47286\n41509 62330\n54157 81263\n1016 1522\n36676 55032\n12797 19177\n67249 100000\n14943 22369\n22941 34443\n90561 100000\n85971 100000\n77061 100000\n8524 12772\n96932 100000\n32304 48504\n94747 100000\n79621 100000\n49221 73917\n3900 5874\n80315 100000\n91194 100000\n29786 44703\n44981 67551\n94654 100000\n55673 83523\n10329 15444\n68565 100000\n62071 93117\n57748 86627\n62490 93753\n19552 29346\n9814 14681\n14886 22282\n17971 26962\n89295 100000\n69288 100000\n52987 79514\n63630 95439\n94087 100000\n13531 20266\n29238 43900\n67116 100000\n86431 100000\n33118 49715\n89527 100000\n76687 100000\n14322 21437\n50964 76484\n33200 49835\n22121 33231\n30775 46210\n80043 100000\n59869 89831\n41899 62924\n8139 12204\n88638 100000\n7461 11210\n3416 5146\n1227 1823\n54583 81881\n7711 11583\n39023 58569\n99522 100000\n71979 100000\n25687 38532\n31667 47535\n31919 47923\n3482 5242\n37158 55754\n36393 54616\n1174 1747\n47603 71494\n38513 57792\n67014 100000\n11736 17573\n84629 100000\n91555 100000\n2875 4318\n82370 100000\n64878 97315\n30106 45189\n32622 48978\n56264 84411\n73188 100000\n81737 100000\n67279 100000\n3138 4716\n8695 13021\n88516 100000\n30682 46075\n29094 43680\n19179 28778\n48014 72110\n5884 8849\n39662 59526\n28403 42643\n9276 13885\n58552 87872\n58886 88382\n18695 28057\n5911 8887\n67614 100000\n62746 94133\n519 781\n14705 22010\n20348 30534\n47348 71112\n1709 2563\n1037 1550\n53311 79986\n49644 74533\n79097 100000\n56964 85462\n20176 30270\n71534 100000\n72199 100000\n22936 34436\n45959 69003\n11828 17714\n56746 85138\n82862 100000\n62682 94040\n49155 73824\n34873 52360\n18231 27352\n77319 100000\n76689 100000\n70603 100000\n91029 100000\n8489 12722\n19021 28534\n91590 100000\n61054 91583\n80140 100000\n11045 16536\n94867 100000\n91760 100000\n91148 100000\n79142 100000\n57821 86743\n95201 100000\n18168 27260\n28147 42258\n23417 35151\n44151 66308\n76751 100000\n93302 100000\n27957 41968\n59514 89307\n81515 100000\n71151 100000\n87046 100000\n15808 23669\n2829 4245\n26621 39939\n27030 40551\n85338 100000\n13487 20200\n80979 100000\n56170 84275\n16495 24703\n41423 62201\n89849 100000\n27689 41557\n3657 5505\n27750 41649\n59143 88748\n8089 12131\n5088 7643\n56578 84887\n7442 11184\n72423 100000\n15620 23392\n55736 83618\n56134 84216\n5794 8711\n2382 3577\n74380 100000\n89087 100000\n31076 46669\n99103 100000\n19834 29764\n1779 2671\n48208 72389\n67876 100000\n5573 8385\n93480 100000\n99580 100000\n57016 85547\n44024 66114\n48853 73364\n50239 75402\n91498 100000\n76760 100000\n17467 26203\n81260 100000\n28603 42945\n8884 13300\n14910 22318\n98196 100000\n22542 33853\n64598 96901\n32047 48118\n82777 100000\n76284 100000\n60252 90404\n1771 2657\n92727 100000\n50896 76386\n88574 100000\n85122 100000\n68094 100000\n82798 100000\n90241 100000\n99470 100000\n99098 100000\n72553 100000\n59225 88871\n11037 16521\n21287 31946\n86740 100000\n89945 100000\n55820 83739\n44923 67458\n46517 69868\n49118 73766\n47855 71872\n80745 100000\n66833 100000\n45806 68773\n17691 26542\n15721 23537\n27622 41454\n98699 100000\n95412 100000\n77289 100000\n80886 100000\n79038 100000\n65152 97728\n98305 100000\n51627 77476\n10689 15996\n79711 100000\n88595 100000\n6845 10278\n50243 75410\n21595 32416\n56940 85426\n12800 19181\n57030 85571\n64763 97145\n98347 100000\n1007 1509\n77155 100000\n78236 100000\n44469 66778\n79626 100000\n61188 91787\n95370 100000\n49982 75021\n74398 100000\n81613 100000\n23198 34830\n60817 91233\n11924 17867\n82827 100000\n40152 60257\n1676 2510\n52026 78081\n89126 100000\n57197 85811\n77669 100000\n86201 100000\n63407 95104\n68169 100000\n33243 49903\n90540 100000\n92872 100000\n73757 100000\n73615 100000\n32567 48891\n93524 100000\n16684 25000\n15542 23279\n87524 100000\n15655 23445\n47644 71558\n97213 100000\n52180 78304\n72656 100000\n64612 96920\n26252 39383\n43951 66005\n59054 88617\n29505 44287\n66660 99977\n94864 100000\n63804 95698\n13953 20883\n20264 30408\n52670 79042\n46763 70235\n41854 62855\n37347 56044\n19119 28687\n43472 65291\n3813 5740\n74568 100000\n30574 45909\n28282 42466\n52136 78243\n25048 37606\n46954 70516\n68626 100000\n95371 100000\n49661 74557\n92171 100000\n24810 37250\n14844 22219\n9205 13782\n43186 64875\n66455 99686\n19212 28824\n41541 62378\n71330 100000\n35727 53620\n64401 96605\n72653 100000\n98267 100000\n81473 100000\n94261 100000\n56054 84098\n47241 70953\n66610 99908\n48309 72543\n57901 86866\n4845 7277\n36039 54093\n19954 29941\n1817 2727\n65967 98961\n92435 100000\n13700 20505\n12118 18148\n28025 42072\n62022 93035\n50575 75898\n29395 44124\n68721 100000\n32615 48966\n99531 100000\n64269 96405\n73207 100000\n59776 89703\n38287 57451\n92921 100000\n28291 42479\n70651 100000\n23570 35383\n41082 61671\n63839 95749\n93084 100000\n92692 100000\n72699 100000\n75615 100000\n47473 71302\n86983 100000\n40116 60207\n90835 100000\n67370 100000\n92736 100000\n89615 100000\n76391 100000\n7997 11997\n19901 29860\n14123 21143\n80699 100000\n77484 100000\n1991 2982\n3045 4578\n30192 45328\n61591 92395\n474 718\n40905 61407\n63591 95384\n2992 4501\n46712 70159\n96178 100000\n18058 27091\n33748 50671\n35258 52933\n55175 82776\n70470 100000\n62778 94179\n61452 92185\n46035 69117\n41010 61560\n15895 23797\n26769 40163\n50539 75843\n44556 66908\n80285 100000\n83961 100000\n78575 100000\n81424 100000\n11306 16925\n22638 33992\n35824 53772\n47879 71908\n95009 100000\n64416 96633\n39016 58558\n89412 100000\n65992 98996\n85093 100000\n46597 69989\n16851 25254\n32854 49321\n45040 67638\n54732 82096\n91161 100000\n23104 34692\n31400 47145\n73831 100000\n27077 40628\n32268 48451\n70161 100000\n35581 53412\n491 740\n62730 94110\n4778 7182\n28681 43060\n68701 100000\n66891 100000\n42996 64588\n48907 73446\n20947 31437\n26495 39752\n99224 100000\n27155 40744\n71924 100000\n31932 47943\n12208 18279\n87529 100000\n85010 100000\n27631 41465\n41555 62401\n15166 22702\n43715 65653\n89730 100000\n76476 100000\n72085 100000\n64616 96925\n63927 95884\n71484 100000\n54562 81850\n94591 100000\n83440 100000\n15204 22764\n67003 100000\n19098 28654\n99139 100000\n97303 100000\n91080 100000\n69689 100000\n35205 52852\n25790 38686\n49657 74550\n69183 100000\n11686 17498\n79573 100000\n86745 100000\n18128 27195\n36886 55347\n92373 100000\n7343 11028\n19258 28890\n6820 10236\n29904 44883\n19296 28948\n51740 77647\n26911 40375\n23215 34854\n68382 100000\n53399 80122\n86487 100000\n30120 45214\n29516 44303\n67264 100000\n18877 28321\n81703 100000\n69720 100000\n54834 82251\n82179 100000\n93699 100000\n64390 96586\n40000 60028\n2563 3846\n93614 100000\n69359 100000\n54416 81637\n34209 51364\n85959 100000\n24055 36115\n37707 56592\n46318 69552\n80502 100000\n463 703\n2542 3816\n60545 90835\n42905 64446\n66972 100000\n10595 15847\n89269 100000\n53695 80571\n6267 9413\n39632 59480\n71910 100000\n10460 15640\n45085 67704\n92820 100000\n22934 34432\n71722 100000\n15395 23055\n11168 16717\n3457 5210\n85454 100000\n34378 51618\n58189 87310\n55406 83119\n72636 100000\n42440 63751\n30678 46069\n93941 100000\n36433 54675\n45112 67740\n29387 44111\n96193 100000\n19388 29087\n96615 100000\n16941 25392\n44645 67036\n94987 100000\n37062 55617\n20982 31486\n48280 72498\n19260 28894\n30697 46096\n89838 100000\n30256 45426\n31009 46566\n68129 100000\n43019 64624\n43445 65254\n35366 53092\n88325 100000\n61152 91732\n13553 20299\n51255 76916\n73155 100000\n90242 100000\n45053 67657\n87792 100000\n8756 13113\n66921 100000\n83389 100000\n49746 74680\n75418 100000\n99803 100000\n93888 100000\n22738 34138\n14310 21418\n74681 100000\n73604 100000\n3958 5966\n60458 90708\n90493 100000\n67818 100000\n52691 79073\n96686 100000\n29496 44275\n97507 100000\n33313 50010\n77697 100000\n36909 55384\n25085 37660\n65158 97737\n96192 100000\n99398 100000\n36450 54702\n85863 100000\n52227 78373\n40870 61353\n19842 29775\n16765 25119\n49599 74467\n74731 100000\n65922 98890\n59421 89173\n87032 100000\n92356 100000\n3572 5379\n66709 100000\n73909 100000\n39641 59494\n75645 100000\n45643 68530\n77324 100000\n78848 100000\n27863 41821\n27287 40943\n53893 80869\n5405 8125\n52292 78463\n99561 100000\n16953 25411\n26910 40373\n88577 100000\n57297 85950\n72579 100000\n21423 32154\n97388 100000\n83872 100000\n90213 100000\n99436 100000\n83864 100000\n63583 95372\n771 1157\n21087 31646\n51438 77186\n3796 5713\n22103 33203\n44810 67282\n42048 63144\n39278 58949\n68166 100000\n43129 64791\n99261 100000\n44646 67037\n7709 11580\n64628 96942\n76161 100000\n36043 54099\n89465 100000\n84968 100000\n78110 100000\n42403 63693\n58509 87807\n76837 100000\n13538 20278\n64103 96155\n79867 100000\n45701 68615\n7771 11671\n47239 70951\n65735 98608\n93499 100000\n55445 83181\n83751 100000\n8759 13119\n93925 100000\n93057 100000\n74423 100000\n102 156\n33102 49690\n58920 88426\n27668 41523\n93722 100000\n43276 65008\n33413 50155\n44471 66782\n62424 93651\n74397 100000\n80617 100000\n82725 100000\n93726 100000\n10131 15151\n60974 91465\n35788 53715\n87996 100000\n41480 62283\n6385 9589\n98261 100000\n56075 84128\n37807 56742\n95596 100000\n19421 29144\n3052 4588\n44412 66701\n8068 12102\n44250 66460\n2187 3278\n28948 43464\n67208 100000\n92795 100000\n92319 100000\n43394 65181\n10320 15429\n47471 71299\n51722 77621\n74161 100000\n54542 81822\n16738 25076\n65452 98181\n12378 18540\n99493 100000\n14251 21334\n91051 100000\n92786 100000\n42942 64505\n43628 65520\n5229 7855\n57371 86061\n15964 23900\n20831 31260\n57258 85893\n8515 12757\n72648 100000\n14616 21878\n16689 25008\n85040 100000\n28643 43002\n55190 82798\n20919 31395\n2188 3279\n44293 66523\n74859 100000\n69696 100000\n74350 100000\n24052 36111\n57584 86385\n92131 100000\n88684 100000\n23967 35976\n27070 40616\n4987 7495\n14318 21432\n68586 100000\n27372 41073\n17778 26675\n21704 32586\n54089 81161\n45116 67747\n73777 100000\n36435 54677\n36134 54230\n9378 14039\n91546 100000\n98810 100000\n78945 100000\n25754 38633\n56924 85398\n8099 12147\n82242 100000\n5007 7524\n95762 100000\n29480 44254\n42527 63879\n84363 100000\n73258 100000\n1728 2595\n48876 73398\n6669 10014\n27000 40506\n44395 66676\n33593 50432\n49427 74210\n2023 3033\n46186 69348\n84744 100000\n70984 100000\n99746 100000\n97526 100000\n83013 100000\n23698 35569\n2512 3768\n90211 100000\n39400 59138\n19961 29951\n38953 58459\n24658 37026\n18652 27991\n90507 100000\n31480 47268\n55235 82862\n85591 100000\n40395 60621\n55824 83746\n75345 100000\n74145 100000\n41578 62435\n59829 89777\n31109 46717\n46316 69549\n46651 70069\n53708 80590\n49686 74594\n41101 61701\n95344 100000\n31913 47914\n37890 56866\n37041 55587\n75188 100000\n85109 100000\n80224 100000\n48028 72133\n15767 23609\n58809 88258\n36685 55046\n63113 94676\n4051 6109\n68854 100000\n67030 100000\n27565 41374\n92898 100000\n40348 60554\n17523 26284\n36333 54525\n89597 100000\n46756 70223\n33655 50524\n29960 44969\n20708 31077\n75368 100000\n6315 9485\n77413 100000\n15528 23258\n7383 11090\n27923 41916\n29550 44358\n47254 70976\n67656 100000\n23479 35249\n44882 67397\n16800 25172\n57658 86499\n48475 72799\n51059 76627\n70993 100000\n33092 49674\n92331 100000\n61907 92864\n55889 83844\n84785 100000\n50813 76260\n39080 58652\n7070 10616\n86457 100000\n14822 22189\n70693 100000\n56521 84802\n44890 67409\n26209 39321\n11867 17774\n62148 93235\n44156 66318\n12174 18230\n27930 41927\n20730 31109\n83360 100000\n6331 9511\n51308 76990\n5314 7987\n42400 63689\n58512 87811\n63497 95243\n76455 100000\n26649 39979\n97267 100000\n79108 100000\n83084 100000\n84733 100000\n7256 10896\n49438 74228\n70440 100000\n7315 10986\n36574 54886\n48840 73346\n36041 54096\n35538 53347\n83722 100000\n92877 100000\n28930 43436\n50727 76127\n27755 41657\n16069 24063\n76007 100000\n50463 75732\n48431 72728\n8453 12669\n67283 100000\n6578 9880\n32656 49028\n28548 42861\n15080 22576\n1591 2383\n46969 70534\n25021 37569\n84280 100000\n74306 100000\n48373 72641\n70120 100000\n78211 100000\n23372 35088\n92311 100000\n95754 100000\n7768 11668\n8061 12094\n52831 79288\n70324 100000\n97932 100000\n43964 66023\n42906 64447\n6138 9224\n38820 58262\n46584 69972\n91274 100000\n47861 71880\n66843 100000\n33070 49646\n98388 100000\n2970 4470\n99099 100000\n59437 89194\n37193 55813\n37682 56554\n74248 100000\n82093 100000\n57633 86460\n73957 100000\n67437 100000\n59176 88795\n31839 47801\n38568 57878\n15878 23771\n12456 18659\n25884 38819\n11402 17062\n23691 35559\n20807 31225\n2517 3776\n18951 28432\n48857 73370\n60786 91192\n17931 26912\n38429 57664\n34836 52306\n66698 100000\n31584 47416\n75704 100000\n6564 9858\n79135 100000\n92469 100000\n45378 68132\n77407 100000\n58828 88286\n56252 84392\n34780 52219\n24349 36551\n4059 6122\n58496 87790\n75068 100000\n84761 100000\n41026 61586\n58118 87204\n25417 38145\n20885 31343\n25036 37589\n41639 62531\n74998 100000\n51257 76920\n30980 46524\n61000 91505\n77347 100000\n99257 100000\n46499 69843\n24656 37022\n68456 100000\n61240 91868\n68719 100000\n87242 100000\n20733 31113\n85932 100000\n96055 100000\n80931 100000\n41110 61716\n3389 5100\n80712 100000\n84298 100000\n16032 24004\n70524 100000\n73823 100000\n9440 14134\n37690 56566\n46971 70538\n65697 98549\n52797 79238\n95781 100000\n62016 93028\n31198 46842\n95162 100000\n76044 100000\n54983 82475\n16792 25158\n1617 2418\n18063 27097\n54203 81330\n58161 87268\n60264 90417\n92713 100000\n13053 19563\n42175 63334\n36147 54248\n2755 4140\n43217 64919\n81647 100000\n7452 11197\n57955 86946\n67342 100000\n9451 14149\n69432 100000\n22039 33105\n37941 56947\n46551 69923\n95113 100000\n36135 54231\n63755 95625\n88066 100000\n98136 100000\n2531 3799\n51724 77624\n7505 11275\n34187 51334\n9410 14090\n11175 16727\n46715 70163\n87175 100000\n60936 91413\n28460 42730\n86308 100000\n45999 69067\n93257 100000\n37661 56522\n76077 100000\n39066 58627\n47569 71443\n87528 100000\n16205 24266\n97181 100000\n44330 66578\n98726 100000\n90965 100000\n19873 29820\n51111 76705\n11814 17695\n67185 100000\n33783 50722\n89117 100000\n10327 15441\n63219 94830\n50658 76023\n58619 87977\n2037 3050\n42921 64473\n50980 76509\n13040 19541\n35442 53206\n40071 60139\n5267 7917\n22516 33812\n72414 100000\n50305 75502\n99896 100000\n48883 73410\n65625 98444\n12176 18234\n41597 62465\n6547 9835\n48742 73203\n52056 78126\n71299 100000\n80510 100000\n83029 100000\n3476 5236\n6382 9585\n72242 100000\n16734 25070\n49775 74726\n52246 78399\n85219 100000\n20936 31420\n14761 22097\n41647 62542\n39172 58790\n17298 25948\n6891 10349\n14693 21991\n72137 100000\n33532 50340\n67573 100000\n35225 52881\n597 903\n59580 89404\n34998 52542\n48781 73261\n74314 100000\n23095 34677\n91523 100000\n56365 84566\n52607 78943\n39782 59709\n12099 18119\n44831 67314\n10566 15800\n6597 9906\n50344 75566\n8182 12274\n77602 100000\n38544 57840\n56742 85134\n47360 71130\n55488 83249\n53894 80870\n75878 100000\n30760 46191\n43419 65219\n62829 94258\n94845 100000\n85039 100000\n44087 66210\n38472 57727\n71506 100000\n37594 56428\n10472 15658\n65783 98680\n44530 66872\n44290 66519\n85220 100000\n65710 98571\n77965 100000\n94679 100000\n89124 100000\n7299 10962\n48925 73475\n85308 100000\n634 958\n61072 91610\n76881 100000\n23141 34746\n22740 34140\n64590 96889\n28840 43296\n76784 100000\n52638 78991\n29802 44726\n37335 56026\n34318 51530\n1353 2014\n37683 56556\n81746 100000\n9496 14219\n95879 100000\n86249 100000\n67352 100000\n36338 54531\n72433 100000\n87208 100000\n71479 100000\n9376 14036\n94671 100000\n40220 60356\n46228 69417\n30457 45728\n56016 84038\n72047 100000\n39092 58670\n34163 51297\n46905 70442\n63810 95706\n37356 56060\n35668 53540\n18665 28012\n55458 83201\n38434 57671\n6873 10322\n2719 4086\n50317 75522\n81702 100000\n94605 100000\n14290 21389\n33402 50141\n37939 56943\n59368 89089\n233 353\n10638 15914\n58251 87410\n66663 99982\n22889 34360\n29817 44747\n5003 7519\n58429 87684\n3559 5357\n60390 90609\n3586 5398\n93622 100000\n28057 42120\n90093 100000\n37843 56795\n42448 63764\n49629 74512\n1670 2503\n39433 59183\n96660 100000\n10538 15757\n66207 99319\n3974 5992\n45867 68866\n43198 64890\n28664 43035\n94971 100000\n49036 73640\n14438 21610\n18097 27150\n22312 33511\n26370 39568\n73520 100000\n62649 93990\n59245 88904\n44053 66159\n88593 100000\n36730 55112\n99464 100000\n5298 7964\n67607 100000\n96448 100000\n53968 80982\n30202 45342\n52717 79111\n77089 100000\n68514 100000\n44750 67188\n48483 72812\n44084 66205\n27069 40614\n93803 100000\n62846 94285\n64861 97290\n57315 85978\n56288 84445\n98103 100000\n34898 52397\n27067 40611\n60103 90187\n8065 12099\n43641 65539\n71539 100000\n7231 10863\n48616 73015\n37660 56520\n20479 30741\n40715 61116\n54585 81883\n11218 16792\n38220 57352\n94350 100000\n34012 51081\n4222 6352\n87442 100000\n65912 98875\n61964 92948\n60438 90680\n32687 49073\n45868 68868\n74939 100000\n1371 2045\n69053 100000\n96841 100000\n18567 27866\n68978 100000\n71913 100000\n84027 100000\n55862 83804\n6781 10184\n76750 100000\n65376 98067\n15381 23034\n73638 100000\n63743 95608\n39619 59462\n89101 100000\n81189 100000\n70494 100000\n5277 7930\n67152 100000\n60082 90156\n56781 85183\n59435 89191\n59938 89942\n19232 28855\n96057 100000\n58600 87946\n37378 56094\n64384 96577\n82139 100000\n41959 63011\n97085 100000\n1028 1539\n76184 100000\n42254 63453\n34396 51646\n90333 100000\n29268 43941\n68080 100000\n37587 56416\n89985 100000\n96665 100000\n66019 99035\n61720 92583\n41467 62266\n66788 100000\n35170 52798\n69789 100000\n13707 20514\n37966 56984\n45744 68681\n8378 12556\n10247 15319\n49291 74015\n87594 100000\n93357 100000\n35431 53187\n65747 98625\n72364 100000\n4327 6513\n17214 25818\n78884 100000\n84522 100000\n72163 100000\n25110 37695\n39791 59720\n13297 19925\n62085 93138\n72151 100000\n94276 100000\n55300 82958\n35475 53253\n16688 25007\n96146 100000\n94304 100000\n91809 100000\n79871 100000\n26078 39116\n9192 13761\n7138 10710\n75521 100000\n93366 100000\n37628 56478\n37923 56917\n46810 70306\n85839 100000\n39348 59053\n98428 100000\n88318 100000\n91772 100000\n76339 100000\n91936 100000\n2193 3286\n40062 60124\n68034 100000\n43245 64963\n37712 56598\n5017 7540\n95333 100000\n43175 64860\n62483 93742\n72429 100000\n96336 100000\n28934 43442\n2269 3402\n71413 100000\n64798 97196\n58034 87064\n49210 73902\n17701 26561\n82770 100000\n52585 78907\n60395 90617\n69534 100000\n79044 100000\n19590 29402\n66743 100000\n60078 90149\n49217 73912\n65230 97838\n12951 19406\n4592 6907\n41738 62681\n16895 25322\n43698 65626\n89875 100000\n86157 100000\n9294 13915\n43220 64924\n51419 77161\n53543 80345\n34088 51199\n35814 53755\n56326 84506\n7336 11019\n17582 26370\n80772 100000\n59196 88827\n65148 97721\n88995 100000\n3573 5380\n25861 38788\n83041 100000\n76041 100000\n46235 69425\n38559 57863\n17243 25862\n38545 57842\n49935 74955\n64818 97224\n7861 11801\n20384 30588\n63663 95490\n17266 25899\n99578 100000\n32881 49365\n19196 28800\n39721 59617\n23126 34722\n61475 92224\n74802 100000\n93276 100000\n34917 52425\n59330 89031\n6939 10420\n51781 77711\n71091 100000\n15653 23441\n25634 38455\n8428 12629\n69033 100000\n47346 71108\n83880 100000\n7584 11388\n6676 10025\n35078 52661\n61626 92445\n21306 31977\n1612 2411\n28880 43359\n62622 93953\n62990 94489\n34768 52200\n45974 69029\n35568 53390\n16713 25040\n60054 90114\n14522 21734\n76439 100000\n19197 28801\n68800 100000\n66512 99764\n27086 40643\n7218 10844\n30841 46310\n36310 54490\n96762 100000\n76241 100000\n29717 44602\n9110 13636\n2198 3295\n38944 58445\n17935 26917\n73225 100000\n10806 16172\n90897 100000\n59018 88567\n29012 43562\n51501 77281\n65776 98667\n89486 100000\n82717 100000\n21309 31982\n74329 100000\n11095 16611\n23452 35208\n23788 35706\n37782 56702\n97068 100000\n95526 100000\n61775 92664\n34421 51681\n18276 27419\n50963 76483\n79770 100000\n40373 60594\n58846 88315\n38464 57715\n29706 44589\n30876 46364\n64199 96296\n86429 100000\n25263 37928\n58426 87679\n75673 100000\n99817 100000\n5462 8215\n4351 6551\n54749 82123\n36660 55012\n16064 24056\n81370 100000\n5622 8462\n33694 50583\n92574 100000\n85930 100000\n36463 54718\n35247 52915\n62433 93667\n23046 34606\n88657 100000\n54890 82330\n15854 23735\n11687 17499\n86725 100000\n7169 10761\n60392 90612\n30587 45929\n57094 85662\n13010 19496\n82853 100000\n71296 100000\n51117 76712\n50355 75580\n51306 76987\n42218 63399\n58103 87176\n84110 100000\n84274 100000\n32785 49223\n31261 46936\n16379 24522\n45479 68289\n94155 100000\n76724 100000\n6843 10274\n25454 38193\n39086 58663\n29388 44113\n30424 45679\n56816 85237\n86808 100000\n8803 13182\n1373 2047\n7500 11267\n87806 100000\n70805 100000\n10887 16297\n14181 21232\n59413 89160\n34516 51818\n32228 48387\n49026 73628\n85007 100000\n72677 100000\n26095 39138\n65045 97565\n16710 25037\n68286 100000\n86042 100000\n18237 27364\n21075 31627\n27221 40849\n84584 100000\n69403 100000\n78076 100000\n12039 18038\n67429 100000\n11029 16511\n63798 95688\n56004 84019\n12985 19456\n25569 38360\n13409 20090\n15056 22539\n70883 100000\n36617 54949\n43799 65776\n47787 71767\n60789 91196\n80996 100000\n85893 100000\n34350 51574\n23050 34611\n23138 34741\n25672 38513\n9825 14697\n84535 100000\n52281 78449\n63756 95627\n84920 100000\n56129 84207\n98879 100000\n34048 51137\n7215 10838\n45892 68905\n94163 100000\n30409 45656\n45377 68130\n41472 62272\n64336 96509\n65415 98123\n26375 39574\n74708 100000\n98359 100000\n80930 100000\n72353 100000\n70654 100000\n93741 100000\n38848 58301\n925 1391\n85206 100000\n90204 100000\n42139 63281\n84714 100000\n61978 92968\n57980 86981\n50300 75495\n22514 33810\n1104 1644\n7548 11339\n93853 100000\n37450 56202\n78188 100000\n72003 100000\n74425 100000\n21634 32480\n25024 37572\n46492 69833\n56042 84077\n45671 68569\n37863 56828\n2287 3431\n62625 93956\n56926 85401\n7983 11978\n8116 12169\n46723 70176\n59679 89555\n52029 78084\n6211 9329\n84895 100000\n84187 100000\n66718 100000\n62712 94086\n70997 100000\n40049 60106\n36584 54902\n39733 59638\n42746 64213\n7869 11813\n48326 72571\n66346 99522\n11563 17306\n38875 58340\n51219 76859\n79281 100000\n38363 57561\n70265 100000\n70343 100000\n53597 80428\n79477 100000\n83640 100000\n7344 11029\n81220 100000\n91709 100000\n64593 96894\n49456 74254\n35232 52892\n51047 76609\n70937 100000\n15396 23057\n26279 39427\n46047 69135\n37604 56443\n17624 26438\n11768 17620\n11243 16829\n45341 68077\n54128 81221\n20956 31450\n28181 42310\n34833 52301\n34858 52335\n1602 2398\n73840 100000\n43809 65791\n63584 95374\n60430 90669\n85696 100000\n94148 100000\n60270 90424\n81208 100000\n49532 74371\n45413 68183\n45179 67838\n85151 100000\n66281 99424\n71584 100000\n38642 57983\n53912 80900\n52700 79085\n92776 100000\n3370 5071\n98742 100000\n54407 81625\n75454 100000\n12320 18449\n68340 100000\n32133 48247\n30093 45168\n23426 35164\n21745 32652\n72446 100000\n89426 100000\n72269 100000\n24382 36605\n54350 81551\n51074 76648\n16168 24208\n41193 61846\n59157 88769\n56791 85196\n32029 48089\n32769 49198\n58910 88414\n2197 3293\n14453 21634\n84788 100000\n45843 68829\n5746 8641\n47702 71644\n18768 28163\n5176 7772\n76562 100000\n22345 33556\n42727 64179\n91206 100000\n49608 74482\n8459 12678\n87050 100000\n57055 85608\n13414 20098\n44129 66274\n91185 100000\n16579 24844\n79860 100000\n99074 100000\n85064 100000\n30991 46539\n25711 38564\n82907 100000\n85012 100000\n32944 49455\n5523 8309\n30319 45517\n92631 100000\n98647 100000\n96594 100000\n79392 100000\n75424 100000\n68379 100000\n70666 100000\n38566 57875\n93904 100000\n5272 7925\n12709 19039\n27083 40637\n49448 74243\n47369 71145\n73462 100000\n45746 68684\n28994 43533\n37700 56582\n46590 69978\n4349 6548\n93029 100000\n25664 38501\n55060 82589\n57661 86502\n29017 43570\n74933 100000\n32185 48319\n99670 100000\n3886 5853\n72767 100000\n79798 100000\n25071 37637\n67211 100000\n19475 29228\n19490 29251\n81411 100000\n88095 100000\n34336 51556\n59252 88915\n14440 21614\n65293 97943\n33183 49810\n50860 76331\n23084 34659\n43088 64728\n92061 100000\n68529 100000\n36595 54920\n15218 22783\n35771 53688\n40160 60271\n80569 100000\n34132 51255\n17561 26338\n22385 33610\n12516 18755\n84433 100000\n66778 100000\n26403 39616\n95087 100000\n34978 52512\n47532 71389\n8008 12012\n36578 54892\n36112 54199\n42864 64387\n92680 100000\n30567 45899\n29186 43821\n22507 33799\n52043 78106\n33990 51046\n4585 6897\n78877 100000\n40260 60417\n70472 100000\n44884 67400\n34098 51215\n52824 79277\n6354 9543\n11632 17410\n88795 100000\n65907 98866\n62831 94260\n65039 97556\n20882 31338\n22629 33980\n44065 66177\n60124 90217\n91504 100000\n30960 46492\n38519 57801\n48657 73077\n91585 100000\n81598 100000\n93072 100000\n81572 100000\n46031 69112\n64983 97477\n7898 11856\n45607 68477\n49244 73953\n47017 70612\n5302 7971\n73199 100000\n46409 69702\n92642 100000\n52437 78686\n21875 32857\n57926 86902\n31220 46876\n74316 100000\n85184 100000\n66075 99117\n83702 100000\n25997 38991\n37548 56352\n17486 26227\n4929 7406\n53088 79666\n8187 12283\n95125 100000\n93456 100000\n15756 23592\n62385 93592\n59463 89231\n61308 91968\n90580 100000\n49522 74356\n62325 93501\n34966 52496\n20839 31271\n20585 30904\n39855 59818\n46521 69874\n72337 100000\n24601 36941\n38369 57569\n74587 100000\n10341 15460\n52832 79289\n56738 85126\n45031 67626\n40314 60498\n12771 19134\n73816 100000\n68518 100000\n60088 90163\n92049 100000\n35314 53014\n23791 35711\n18110 27171\n53237 79878\n54357 81558\n24223 36361\n46120 69245\n61102 91659\n63967 95950\n91928 100000\n75374 100000\n20247 30381\n19269 28907\n39866 59836\n73062 100000\n12652 18959\n46502 69847\n94308 100000\n21015 31534\n2607 3912\n99023 100000\n83204 100000\n9141 13680\n23999 36031\n81437 100000\n3763 5663\n36540 54838\n92472 100000\n81131 100000\n28019 42061\n25205 37840\n79361 100000\n81323 100000\n69544 100000\n83499 100000\n44106 66238\n27623 41455\n93170 100000\n83308 100000\n46348 69601\n87802 100000\n24040 36093\n54541 81821\n98045 100000\n19729 29604\n5647 8496\n56202 84321\n6101 9169\n75668 100000\n50648 76008\n41172 61810\n83890 100000\n71222 100000\n301 455\n95308 100000\n570 860\n19775 29675\n76271 100000\n34202 51356\n23532 35331\n306 464\n11845 17741\n20905 31375\n5920 8898\n59606 89440\n43107 64757\n49222 73918\n2864 4299\n45390 68151\n22564 33883\n93842 100000\n23942 35936\n46094 69206\n94129 100000\n13951 20881\n41952 62999\n9470 14178\n11863 17768\n78314 100000\n552 832\n36545 54845\n63886 95820\n97473 100000\n73259 100000\n4064 6127\n79870 100000\n5545 8343\n30853 46329\n95080 100000\n50681 76052\n67434 100000\n46910 70450\n59559 89371\n6553 9841\n35056 52628\n73966 100000\n70268 100000\n36863 55310\n88383 100000\n29895 44870\n6229 9354\n10686 15990\n87361 100000\n57303 85959\n24428 36672\n92570 100000\n76578 100000\n83345 100000\n86455 100000\n23162 34778\n21724 32617\n13271 19887\n93024 100000\n10304 15408\n84632 100000\n27660 41511\n36975 55488\n48702 73148\n45134 67774\n45453 68247\n64250 96371\n52240 78390\n69776 100000\n71660 100000\n98158 100000\n18887 28334\n70390 100000\n69883 100000\n70730 100000\n74761 100000\n55604 83422\n9046 13539\n28082 42158\n19032 28551\n40008 60042\n96617 100000\n17256 25883\n7408 11129\n40617 60959\n84977 100000\n58971 88494\n16434 24609\n39204 58839\n93761 100000\n52261 78420\n95724 100000\n56414 84640\n43545 65394\n26787 40191\n31929 47938\n4715 7090\n18292 27445\n19503 29271\n26467 39711\n29050 43617\n1751 2628\n34170 51308\n31298 46989\n60488 90753\n22137 33253\n87826 100000\n73480 100000\n33742 50662\n75825 100000\n12872 19287\n56510 84788\n57924 86900\n17891 26846\n30300 45491\n44871 67379\n99851 100000\n38422 57652\n97146 100000\n61327 91998\n26154 39230\n47946 72008\n15796 23650\n12699 19026\n71788 100000\n94048 100000\n53286 79950\n80365 100000\n35241 52907\n6839 10268\n40955 61475\n31339 47054\n67502 100000\n14566 21804\n1183 1761\n77389 100000\n16499 24710\n12180 18241\n37052 55604\n63084 94633\n34383 51627\n86802 100000\n86956 100000\n88685 100000\n69493 100000\n29383 44107\n456 692\n22497 33782\n90197 100000\n1503 2250\n24537 36846\n23463 35225\n30713 46120\n55578 83386\n40328 60522\n48043 72155\n92234 100000\n65009 97513\n57467 86206\n12409 18589\n81013 100000\n6510 9778\n50978 76505\n67138 100000\n89616 100000\n74671 100000\n57313 85974\n57840 86775\n24105 36194\n49473 74281\n42547 63906\n93160 100000\n97493 100000\n40916 61422\n29167 43793\n72226 100000\n42578 63952\n60083 90157\n891 1338\n71837 100000\n19547 29338\n70932 100000\n4081 6152\n50199 75343\n44746 67181\n61400 92104\n20335 30516\n58481 87768\n37296 55971\n74617 100000\n36011 54049\n82578 100000\n22012 33063\n15534 23267\n49590 74455\n65615 98425\n101 155\n78306 100000\n45633 68515\n26136 39198\n22581 33909\n11938 17889\n90736 100000\n5887 8852\n20669 31023\n47699 71640\n28312 42511\n16844 25242\n74857 100000\n52057 78127\n87687 100000\n89071 100000\n64880 97317\n22892 34365\n56307 84475\n368 557\n99412 100000\n69842 100000\n29080 43658\n52317 78502\n26717 40085\n41292 61997\n16805 25181\n44553 66905\n2889 4341\n72891 100000\n46631 70042\n25079 37650\n26698 40055\n91594 100000\n14800 22155\n31596 47439\n95234 100000\n56324 84503\n49375 74129\n68743 100000\n94824 100000\n87862 100000\n82443 100000\n97133 100000\n5475 8238\n7663 11507\n10997 16462\n12561 18823\n58985 88516\n66561 99838\n57103 85673\n2600 3902\n42568 63937\n29623 44463\n76491 100000\n42286 63502\n55405 83118\n75100 100000\n25515 38284\n73742 100000\n93721 100000\n36530 54822\n89664 100000\n75743 100000\n3987 6011\n39873 59848\n48664 73087\n95567 100000\n30328 45531\n12723 19060\n61264 91904\n23502 35284\n98916 100000\n20296 30456\n89783 100000\n85875 100000\n17288 25933\n77808 100000\n37317 56002\n80152 100000\n99875 100000\n26079 39117\n32616 48967\n70667 100000\n91522 100000\n23609 35442\n61003 91509\n16944 25397\n64728 97093\n3255 4894\n77093 100000\n66434 99655\n63720 95574\n72178 100000\n73906 100000\n5102 7666\n22512 33807\n54376 81585\n8698 13026\n40863 61342\n29231 43891\n2341 3515\n36654 55002\n13199 19777\n24712 37107\n65118 97674\n77825 100000\n2743 4121\n28875 43349\n478 723\n10722 16043\n84600 100000\n77661 100000\n33514 50314\n40147 60250\n76974 100000\n84799 100000\n50815 76263\n94377 100000\n26387 39592\n15581 23339\n37272 55935\n72836 100000\n59996 90023\n95053 100000\n28471 42744\n3469 5227\n20933 31415\n63135 94709\n99012 100000\n1620 2422\n6339 9523\n49107 73749\n73756 100000\n2112 3162\n20992 31501\n21550 32340\n58596 87940\n26690 40043\n19685 29541\n68370 100000\n48460 72775\n55023 82529\n96458 100000\n16129 24153\n54277 81441\n64793 97189\n99626 100000\n55316 82980\n75042 100000\n29306 43994\n1201 1787\n42655 64069\n84879 100000\n51234 76882\n61120 91686\n97041 100000\n75421 100000\n1485 2224\n93244 100000\n32389 48629\n47507 71352\n79153 100000\n70733 100000\n20872 31323\n81257 100000\n29699 44578\n53868 80831\n54218 81355\n45627 68506\n75781 100000\n51467 77231\n87374 100000\n76772 100000\n87345 100000\n95623 100000\n46321 69557\n10186 15227\n68049 100000\n6319 9490\n4020 6063\n17816 26732\n14048 21025\n49557 74410\n49843 74826\n8484 12717\n98993 100000\n18331 27502\n18314 27478\n38488 57752\n21370 32071\n83162 100000\n38263 57415\n78226 100000\n44405 66690\n87395 100000\n73505 100000\n77897 100000\n16735 25071\n35019 52576\n25111 37697\n98952 100000\n62291 93452\n17343 26014\n26386 39591\n18285 27433\n86639 100000\n66286 99433\n94596 100000\n59424 89177\n14155 21191\n96300 100000\n61556 92346\n69194 100000\n84464 100000\n82209 100000\n80007 100000\n62836 94267\n51958 77974\n71843 100000\n28902 43393\n59762 89681\n29524 44316\n50947 76460\n78750 100000\n68537 100000\n28372 42599\n14779 22121\n84923 100000\n15467 23172\n4348 6547\n70940 100000\n49740 74671\n98206 100000\n33163 49784\n80850 100000\n47935 71994\n29419 44161\n47455 71276\n86549 100000\n99358 100000\n75953 100000\n82290 100000\n52286 78456\n53567 80382\n56982 85491\n39549 59356\n90695 100000\n3742 5632\n91981 100000\n14288 21386\n23174 34795\n79873 100000\n43838 65835\n64073 96113\n98128 100000\n81574 100000\n71711 100000\n39451 59210\n3485 5247\n7449 11193\n21644 32497\n50062 75135\n73755 100000\n75585 100000\n44737 67166\n94079 100000\n45113 67741\n52808 79255\n89363 100000\n44826 67306\n17645 26472\n98296 100000\n25925 38881\n41489 62300\n2637 3962\n70854 100000\n99153 100000\n89332 100000\n94560 100000\n92799 100000\n46242 69437\n69609 100000\n25658 38492\n94032 100000\n87341 100000\n66484 99729\n8537 12790\n4614 6939\n12933 19381\n33312 50008\n12826 19219\n88155 100000\n7297 10960\n50274 75457\n28638 42997\n76505 100000\n87664 100000\n32618 48970\n36622 54955\n27711 41591\n74819 100000\n28517 42815\n19956 29944\n99471 100000\n99435 100000\n15436 23121\n91125 100000\n94424 100000\n69844 100000\n68380 100000\n76613 100000\n90120 100000\n92389 100000\n27387 41096\n80288 100000\n24271 36424\n407 617\n24538 36848\n14583 21830\n88789 100000\n76859 100000\n71069 100000\n48964 73534\n6952 10438\n48256 72458\n35526 53327\n69214 100000\n66969 100000\n29367 44083\n97513 100000\n3328 5006\n31100 46703\n52679 79054\n39363 59080\n34550 51868\n93930 100000\n59180 88802\n42962 64540\n79103 100000\n3027 4552\n7819 11741\n97495 100000\n62034 93056\n77660 100000\n94100 100000\n49022 73622\n78550 100000\n6173 9276\n29856 44810\n24646 37009\n63517 95271\n1824 2739\n43180 64866\n32760 49183\n86389 100000\n23866 35818\n86986 100000\n44449 66751\n24260 36409\n91316 100000\n66526 99786\n88460 100000\n64794 97190\n70897 100000\n45241 67929\n48068 72191\n54537 81816\n90723 100000\n39267 58932\n54819 82228\n20439 30678\n2415 3626\n8796 13170\n17218 25824\n66364 99550\n982 1468\n20358 30550\n12027 18023\n84617 100000\n84272 100000\n2796 4201\n69946 100000\n63232 94847\n5878 8841\n47059 70679\n38492 57759\n8996 13464\n96613 100000\n29102 43693\n96377 100000\n12861 19271\n87567 100000\n45129 67766\n41249 61926\n43813 65796\n16631 24922\n64371 96557\n10843 16230\n95013 100000\n71818 100000\n93910 100000\n87315 100000\n14870 22259\n67820 100000\n23425 35163\n85796 100000\n80266 100000\n70152 100000\n70406 100000\n62308 93475\n11182 16739\n36596 54922\n37844 56797\n60487 90752\n22136 33252\n84374 100000\n11839 17730\n16016 23979\n60325 90507\n96897 100000\n9402 14075\n91241 100000\n54431 81659\n38858 58315\n28191 42324\n52540 78842\n28509 42802\n30683 46077\n34519 51822\n33443 50200\n1346 2000\n16957 25418\n75114 100000\n17030 25527\n27726 41613\n57444 86169\n88938 100000\n19268 28906\n85698 100000\n43650 65555\n31783 47715\n44407 66694\n39185 58809\n76833 100000\n902 1359\n48998 73585\n26786 40190\n7434 11170\n75055 100000\n99873 100000\n19921 29890\n5288 7951\n27266 40911\n25993 38985\n15996 23950\n32700 49090\n79215 100000\n75939 100000\n39575 59399\n57683 86532\n40403 60634\n5761 8663\n985 1474\n10602 15856\n52656 79019\n67173 100000\n5513 8292\n45279 67983\n64933 97402\n7029 10556\n57224 85849\n33661 50534\n32835 49297\n95172 100000\n23836 35776\n33333 50039\n79206 100000\n35082 52665\n63564 95344\n39789 59718\n30654 46032\n87613 100000\n91478 100000\n84372 100000\n79695 100000\n46252 69454\n88221 100000\n84908 100000\n5320 7998\n96515 100000\n21530 32312\n59345 89054\n77915 100000\n55498 83262\n14128 21151\n6334 9516\n68209 100000\n97280 100000\n16914 25351\n46226 69413\n94518 100000\n25102 37683\n89369 100000\n22061 33137\n32090 48181\n91641 100000\n7609 11425\n7208 10826\n53124 79718\n87584 100000\n68980 100000\n72991 100000\n88538 100000\n98317 100000\n59406 89149\n91456 100000\n28415 42662\n47156 70827\n51853 77820\n62087 93141\n63401 95096\n56012 84031\n72209 100000\n76463 100000\n98645 100000\n51506 77289\n55715 83587\n6278 9431\n45423 68199\n17774 26670\n14747 22075\n88909 100000\n46370 69637\n71988 100000\n99166 100000\n64200 96298\n31627 47484\n67427 100000\n40308 60489\n98163 100000\n40572 60890\n2947 4434\n73169 100000\n52712 79103\n3394 5109\n74962 100000\n41640 62533\n5797 8714\n58783 88222\n21604 32429\n94826 100000\n23403 35129\n90590 100000\n62269 93418\n37853 56813\n14250 21333\n79408 100000\n237 360\n87104 100000\n94814 100000\n6084 9141\n71870 100000\n33249 49912\n69198 100000\n51999 78036\n7333 11014\n3603 5423\n67737 100000\n62709 94082\n87253 100000\n99276 100000\n22199 33346\n82618 100000\n21371 32073\n19879 29828\n88662 100000\n3544 5335\n32913 49412\n47383 71165\n7121 10685\n82235 100000\n85483 100000\n2795 4199\n97324 100000\n18577 27881\n36507 54787\n32400 48646\n98816 100000\n28451 42716\n21110 31684\n63163 94751\n89573 100000\n72096 100000\n86058 100000\n44310 66548\n51460 77222\n13361 20023\n19720 29591\n66752 100000\n78903 100000\n65473 98215\n55008 82509\n57541 86320\n71708 100000\n61288 91937\n99889 100000\n47065 70689\n54916 82372\n97687 100000\n19996 29995\n16742 25084\n66166 99256\n3405 5127\n54318 81507\n8185 12279\n70679 100000\n68391 100000\n82955 100000\n23458 35219\n97938 100000\n68803 100000\n59563 89378\n29312 44002\n29732 44625\n8499 12736\n40120 60212\n27408 41125\n11983 17956\n62547 93843\n37309 55991\n95377 100000\n4187 6303\n65344 98021\n42556 63920\n48511 72858\n73699 100000\n72534 100000\n3426 5161\n20027 30043\n49139 73798\n90365 100000\n48997 73584\n41492 62305\n6219 9339\n94167 100000\n80437 100000\n43932 65978\n26778 40178\n77246 100000\n9121 13653\n7878 11829\n61754 92633\n26256 39390\n84082 100000\n10570 15807\n41773 62736\n85044 100000\n9357 14010\n66912 100000\n20916 31392\n89064 100000\n3236 4868\n72663 100000\n42442 63754\n91919 100000\n95416 100000\n83407 100000\n36888 55350\n93540 100000\n60121 90213\n75560 100000\n24190 36315\n80355 100000\n91291 100000\n97437 100000\n8272 12406\n94373 100000\n25247 37905\n73351 100000\n67452 100000\n43706 65639\n5281 7938\n47 69\n120 181\n4110 6194\n53762 80675\n68425 100000\n93713 100000\n71367 100000\n40897 61395\n1415 2113\n24636 36991\n87556 100000\n32258 48436\n82318 100000\n9626 14398\n93871 100000\n47053 70671\n45622 68498\n84064 100000\n81691 100000\n78700 100000\n79609 100000\n59724 89620\n95691 100000\n60916 91382\n36 54\n40476 60742\n77783 100000\n99854 100000\n11901 17830\n12850 19254\n75857 100000\n56766 85162\n73558 100000\n91313 100000\n97913 100000\n40807 61254\n69080 100000\n18398 27609\n27559 41365\n31897 47889\n20363 30557\n53407 80133\n39339 59041\n66826 100000\n45535 68371\n44159 66323\n80585 100000\n31020 46581\n96806 100000\n99982 100000\n88359 100000\n91168 100000\n31600 47444\n88824 100000\n44003 66086\n94724 100000\n48476 72800\n91308 100000\n28920 43421\n53983 81005\n59405 89147\n91496 100000\n48412 72702\n47539 71402\n16554 24800\n65352 98033\n76306 100000\n46871 70395\n10518 15728\n33976 51024\n91705 100000\n52147 78260\n26041 39062\n2203 3302\n98004 100000\n71422 100000\n62744 94130\n8253 12380\n59042 88601\n89561 100000\n40363 60579\n65325 97992\n90757 100000\n67685 100000\n5135 7714\n94774 100000\n6783 10187\n48874 73395\n72111 100000\n70181 100000\n75488 100000\n83219 100000\n5483 8250\n1000 1498\n37376 56091\n55533 83317\n9343 13988\n6041 9073\n77131 100000\n8064 12097\n76558 100000\n15748 23576\n97460 100000\n92637 100000\n15955 23884\n44026 66117\n33310 50005\n21713 32600\n2623 3941\n67064 100000\n78456 100000\n45332 68062\n47829 71834\n31696 47574\n80203 100000\n28347 42558\n94407 100000\n81109 100000\n94652 100000\n70443 100000\n99348 100000\n98418 100000\n42154 63306\n62764 94163\n87493 100000\n11214 16787\n40247 60397\n75769 100000\n58877 88365\n51068 76641\n19169 28765\n87270 100000\n89322 100000\n2604 3908\n63378 95064\n3725 5606\n70478 100000\n55267 82909\n4667 7017\n28221 42372\n37359 56065\n17250 25875\n15744 23570\n18483 27735\n90731 100000\n53932 80931\n1144 1703\n42150 63299\n55255 82889\n60313 90490\n97476 100000\n17545 26316\n1269 1883\n30974 46513\n66918 100000\n72450 100000\n79132 100000\n6130 9211\n2739 4115\n73493 100000\n27340 41022\n16837 25230\n73530 100000\n3869 5827\n1546 2312\n7567 11363\n13661 20447\n13850 20725\n53500 80282\n87673 100000\n9438 14131\n69155 100000\n29929 44919\n97719 100000\n52922 79422\n87730 100000\n90697 100000\n29413 44151\n67054 100000\n92564 100000\n28176 42301\n84893 100000\n84578 100000\n19817 29741\n1262 1874\n34896 52394\n55264 82905\n29106 43699\n32545 48857\n93081 100000\n85741 100000\n88241 100000\n79546 100000\n58568 87898\n51639 77496\n6024 9046\n5198 7807\n35992 54018\n3701 5573\n99618 100000\n71513 100000\n68306 100000\n24602 36943\n84299 100000\n94659 100000\n59382 89111\n41139 61764\n81275 100000\n5907 8881\n63185 94780\n37790 56717\n54127 81220\n3942 5940\n18709 28078\n26155 39232\n30540 45858\n63946 95914\n96596 100000\n80363 100000\n65367 98053\n58670 88059\n10814 16183\n39130 58730\n63192 94790\n63236 94854\n57339 86013\n75868 100000\n53503 80285\n32842 49306\n36747 55134\n186 286\n56759 85152\n41979 63040\n4099 6177\n6113 9187\n33433 50184\n82990 100000\n84406 100000\n18927 28396\n31232 46893\n33952 50987\n45889 68900\n24420 36660\n36313 54496\n37978 57001\n14736 22058\n27697 41571\n71933 100000\n28449 42713\n52799 79242\n63882 95814\n55067 82601\n44993 67570\n69606 100000\n77796 100000\n52035 78093\n37916 56908\n82339 100000\n66081 99126\n93984 100000\n38509 57786\n49419 74200\n7422 11150\n41818 62803\n78447 100000\n43837 65833\n40947 61466\n27484 41245\n81440 100000\n9645 14424\n19286 28933\n73261 100000\n69051 100000\n33205 49843\n29096 43683\n39699 59582\n36803 55218\n4701 7067\n96197 100000\n40849 61321\n12165 18217\n45514 68341\n56900 85361\n66755 100000\n78189 100000\n76660 100000\n12300 18416\n76575 100000\n7668 11514\n74170 100000\n95205 100000\n90636 100000\n33712 50609\n75470 100000\n39672 59542\n64442 96675\n29868 44831\n14644 21919\n79992 100000\n15343 22976\n72524 100000\n38620 57953\n13897 20797\n11571 17318\n45039 67636\n93582 100000\n34261 51440\n37319 56004\n38874 58338\n42764 64241\n17518 26278\n46691 70129\n70847 100000\n25721 38579\n61125 91694\n40406 60638\n92381 100000\n46785 70266\n72593 100000\n62522 93801\n70573 100000\n38265 57417\n88339 100000\n79581 100000\n68280 100000\n4500 6767\n65750 98629\n47260 70984\n29854 44806\n32383 48619\n84764 100000\n15978 23923\n49431 74216\n5300 7967\n1726 2592\n29910 44893\n87758 100000\n10016 14973\n71868 100000\n68413 100000\n72735 100000\n31538 47347\n48026 72129\n44101 66232\n70583 100000\n14452 21633\n32621 48976\n73256 100000\n47839 71848\n6049 9085\n94249 100000\n55972 83971\n70629 100000\n85618 100000\n29217 43868\n55617 83442\n48700 73145\n6675 10023\n21228 31856\n81609 100000\n23805 35731\n24851 37310\n87209 100000\n59510 89301\n54358 81559\n90350 100000\n40055 60115\n41069 61650\n62485 93746\n9779 14628\n86556 100000\n47600 71490\n57786 86686\n33112 49705\n26329 39505\n54781 82171\n20104 30161\n60664 91010\n40292 60466\n5239 7870\n58083 87145\n73832 100000\n97292 100000\n29645 44498\n63318 94974\n85209 100000\n13685 20481\n83750 100000\n70410 100000\n73017 100000\n65845 98773\n6824 10242\n76604 100000\n86314 100000\n43244 64961\n76346 100000\n4029 6076\n67404 100000\n92318 100000\n20207 30320\n34607 51950\n78916 100000\n32829 49289\n73146 100000\n5220 7840\n3553 5348\n69709 100000\n95768 100000\n56807 85223\n63801 95693\n93949 100000\n28767 43184\n19237 28861\n14801 22157\n61816 92726\n79498 100000\n86659 100000\n36395 54619\n86447 100000\n70082 100000\n15404 23070\n30125 45222\n96222 100000\n5464 8217\n87058 100000\n98891 100000\n9497 14220\n30214 45361\n3154 4742\n33188 49819\n629 950\n16817 25202\n6463 9706\n77468 100000\n92380 100000\n28245 42406\n4309 6485\n8075 12109\n1986 2977\n65520 98283\n46408 69701\n42265 63468\n69187 100000\n36938 55431\n80250 100000\n8067 12101\n69407 100000\n5728 8616\n8031 12047\n63737 95599\n91255 100000\n91550 100000\n58227 87373\n6778 10180\n55789 83697\n47687 71624\n23180 34804\n93510 100000\n22108 33209\n34498 51789\n61049 91576\n89850 100000\n54138 81236\n61424 92141\n14112 21124\n49492 74312\n70207 100000\n54005 81039\n84739 100000\n2338 3510\n60199 90328\n10765 16113\n55357 83040\n33098 49683\n34906 52410\n4394 6617\n70927 100000\n29099 43688\n82566 100000\n92956 100000\n34838 52308\n48775 73251\n11317 16942\n20624 30960\n24937 37442\n74456 100000\n92028 100000\n33836 50806\n49572 74430\n15839 23711\n62226 93353\n90207 100000\n52388 78610\n55404 83116\n27594 41413\n63098 94653\n45882 68891\n58398 87637\n76685 100000\n60006 90036\n22804 34232\n67807 100000\n50195 75338\n60768 91165\n32322 48531\n81668 100000\n63013 94524\n50497 75784\n44033 66127\n36784 55188\n36335 54527\n57400 86108\n96526 100000\n39680 59554\n63110 94672\n9684 14481\n91096 100000\n83288 100000\n17571 26353\n23888 35854\n21705 32587\n90010 100000\n38018 57058\n78558 100000\n76152 100000\n58252 87412\n96776 100000\n80511 100000\n28526 42829\n27402 41117\n9052 13546\n53422 80158\n75526 100000\n30221 45372\n8198 12302\n58413 87658\n36072 54140\n50547 75857\n79861 100000\n72584 100000\n87266 100000\n79590 100000\n47689 71627\n91534 100000\n31983 48019\n22844 34294\n99206 100000\n47046 70658\n27904 41886\n1924 2885\n47447 71264\n5762 8665\n20215 30334\n49893 74899\n16329 24451\n64795 97192\n9535 14275\n87484 100000\n51987 78019\n81343 100000\n6879 10330\n6027 9051\n95746 100000\n84379 100000\n13233 19827\n29370 44088\n12003 17986\n19896 29854\n20617 30952\n25583 38383\n9491 14210\n75527 100000\n14971 22410\n96883 100000\n38949 58453\n18239 27368\n1266 1878\n23524 35319\n25461 38204\n26268 39408\n81806 100000\n16376 24519\n26997 40503\n44987 67560\n84496 100000\n49862 74856\n62844 94281\n33913 50928\n50614 75957\n79318 100000\n53822 80762\n85830 100000\n84171 100000\n35301 52994\n84936 100000\n42993 64584\n50225 75380\n24424 36665\n34150 51281\n73665 100000\n41495 62311\n7261 10904\n71052 100000\n87983 100000\n71077 100000\n78092 100000\n5063 7607\n16063 24054\n95248 100000\n25514 38283\n57013 85542\n85195 100000\n75823 100000\n72790 100000\n10393 15537\n59266 88935\n96540 100000\n30778 46215\n35785 53711\n59593 89422\n30504 45804\n42409 63702\n29591 44418\n35901 53887\n942 1418\n59378 89105\n16178 24222\n73277 100000\n9011 13485\n28851 43315\n60836 91264\n96305 100000\n48961 73530\n1024 1532\n74792 100000\n31481 47270\n20424 30652\n46071 69172\n5800 8719\n49802 74766\n971 1453\n44597 66968\n34984 52519\n104 158\n76836 100000\n48082 72208\n9557 14300\n4867 7311\n28532 42837\n22719 34107\n98052 100000\n94672 100000\n98410 100000\n2453 3680\n58613 87968\n43310 65061\n1399 2091\n90618 100000\n27158 40750\n52370 78582\n45237 67925\n47079 70710\n37687 56561\n85467 100000\n5210 7826\n51512 77299\n74814 100000\n63776 95656\n48269 72478\n99396 100000\n27406 41122\n14683 21975\n10235 15303\n25778 38669\n15122 22636\n36025 54072\n79922 100000\n69616 100000\n86590 100000\n58142 87240\n43917 65955\n96553 100000\n94115 100000\n97618 100000\n65028 97538\n97811 100000\n28341 42550\n37733 56629\n31477 47264\n50248 75418\n44167 66336\n68331 100000\n10554 15781\n66616 99914\n3107 4671\n95514 100000\n1923 2883\n16022 23988\n4901 7367\n45526 68359\n98230 100000\n27855 41810\n63690 95529\n56975 85478\n84003 100000\n23229 34874\n79997 100000\n28206 42350\n17283 25926\n1254 1862\n66082 99127\n24816 37260\n66900 100000\n94523 100000\n70159 100000\n91554 100000\n17772 26668\n22499 33785\n90978 100000\n18305 27465\n86768 100000\n59270 88941\n52522 78818\n93093 100000\n30873 46360\n63761 95634\n47020 70618\n45399 68164\n71853 100000\n79125 100000\n47482 71316\n72903 100000\n61600 92410\n44497 66822\n43000 64594\n69057 100000\n24927 37429\n9883 14785\n18209 27320\n23224 34868\n11501 17214\n17084 25608\n21829 32784\n97354 100000\n75331 100000\n44000 66081\n25615 38427\n8574 12844\n16904 25335\n71089 100000\n56465 84721\n45651 68540\n9235 13827\n33856 50841\n44078 66195\n90574 100000\n21134 31715\n11717 17545\n21575 32380\n9940 14868\n82033 100000\n45286 67993\n83705 100000\n8776 13142\n60123 90215\n65928 98898\n18257 27391\n3280 4932\n72387 100000\n61007 91516\n66481 99725\n30341 45549\n42046 63142\n37868 56834\n36315 54500\n64706 97061\n29060 43631\n32561 48883\n4229 6361\n72858 100000\n10941 16376\n27127 40705\n3169 4763\n83533 100000\n65884 98833\n75535 100000\n1293 1917\n19525 29307\n91001 100000\n5703 8581\n80952 100000\n72825 100000\n77975 100000\n79238 100000\n3239 4872\n91247 100000\n16507 24722\n23606 35438\n77900 100000\n48494 72830\n73362 100000\n40357 60570\n28320 42520\n3443 5186\n71607 100000\n63063 94599\n77833 100000\n27450 41193\n92672 100000\n4692 7054\n37637 56490\n52040 78102\n88014 100000\n88735 100000\n56137 84221\n63633 95444\n72400 100000\n6184 9291\n53236 79877\n1140 1697\n83677 100000\n8119 12173\n39583 59412\n39516 59309\n2139 3203\n18497 27757\n71027 100000\n1040 1554\n80561 100000\n23875 35832\n57067 85626\n89202 100000\n64289 96438\n69146 100000\n48080 72206\n45971 69024\n47778 71754\n80409 100000\n59858 89817\n66812 100000\n85097 100000\n42418 63717\n62208 93323\n38104 57186\n26732 40107\n88294 100000\n90302 100000\n1419 2120\n95316 100000\n64966 97451\n2301 3450\n51206 76843\n49406 74178\n35363 53088\n28162 42279\n49180 73861\n14429 21596\n89999 100000\n70026 100000\n9602 14364\n97952 100000\n27223 40851\n81470 100000\n81362 100000\n19705 29570\n34129 51252\n39904 59897\n12431 18624\n47756 71722\n48814 73307\n68126 100000\n55702 83567\n93448 100000\n61945 92920\n78897 100000\n79502 100000\n4910 7378\n77243 100000\n97906 100000\n62361 93556\n91977 100000\n21638 32487\n90996 100000\n65096 97642\n54956 82433\n23219 34860\n46938 70491\n38915 58401\n90346 100000\n8815 13201\n92657 100000\n3551 5345\n43832 65826\n95527 100000\n15291 22891\n9219 13801\n55582 83390\n51424 77168\n67402 100000\n42952 64524\n12968 19431\n62710 94083\n24368 36582\n47927 71979\n13371 20038\n35963 53975\n37560 56371\n37842 56793\n39405 59143\n18384 27587\n44731 67158\n76899 100000\n88040 100000\n24436 36683\n53589 80414\n19290 28938\n413 629\n89990 100000\n61729 92597\n57604 86415\n19739 29618\n150 228\n57517 86283\n5917 8894\n22951 34456\n75912 100000\n68994 100000\n52885 79369\n62546 93842\n391 593\n2084 3122\n66546 99818\n94081 100000\n29600 44430\n70206 100000\n63526 95282\n85291 100000\n98248 100000\n42241 63434\n99265 100000\n77619 100000\n55497 83261\n87782 100000\n6776 10177\n47825 71827\n46688 70124\n79141 100000\n52381 78599\n49253 73966\n12290 18401\n69617 100000\n88225 100000\n91343 100000\n41802 62779\n5603 8435\n94470 100000\n15800 23655\n3642 5483\n27118 40692\n9921 14835\n62989 94488\n5685 8554\n88524 100000\n86735 100000\n52270 78434\n27681 41546\n80763 100000\n21861 32834\n34052 51144\n37213 55844\n52562 78877\n61663 92500\n83503 100000\n14601 21855\n1245 1850\n1481 2218\n38088 57159\n12023 18017\n8980 13439\n91437 100000\n13812 20667\n85914 100000\n47960 72028\n97542 100000\n59311 89002\n27763 41672\n14806 22163\n67450 100000\n70888 100000\n90052 100000\n65630 98450\n15308 22919\n43886 65910\n29711 44595\n2763 4151\n96046 100000\n7377 11082\n62072 93118\n15951 23880\n44014 66100\n11376 17026\n9032 13517\n38913 58397\n21260 31902\n86513 100000\n17226 25834\n71053 100000\n72354 100000\n86893 100000\n81745 100000\n553 833\n23611 35444\n28411 42655\n70192 100000\n34704 52103\n58019 87038\n12069 18080\n96916 100000\n92437 100000\n11592 17349\n6604 9914\n41605 62478\n71791 100000\n97688 100000\n83166 100000\n82588 100000\n71618 100000\n37550 56355\n98707 100000\n6713 10078\n28042 42100\n13083 19603\n38184 57304\n42271 63478\n77633 100000\n99316 100000\n4828 7250\n30633 46000\n73573 100000\n62394 93607\n2986 4493\n7292 10951\n41973 63030\n21880 32865\n83493 100000\n10816 16185\n77530 100000\n76475 100000\n13752 20581\n31930 47939\n52312 78495\n88585 100000\n71580 100000\n60674 91027\n10074 15063\n76312 100000\n72752 100000\n99475 100000\n42771 64252\n58993 88530\n78665 100000\n85577 100000\n50295 75489\n69408 100000\n36678 55036\n7437 11174\n75819 100000\n85297 100000\n44280 66505\n16727 25061\n80750 100000\n96045 100000\n1020 1527\n33685 50570\n29043 43607\n65317 97980\n89839 100000\n94886 100000\n72179 100000\n84121 100000\n5966 8966\n93596 100000\n72885 100000\n72068 100000\n61799 92700\n50127 75234\n9639 14414\n41791 62762\n61870 92810\n13744 20567\n61212 91822\n96248 100000\n13893 20791\n73102 100000\n93454 100000\n25019 37566\n29640 44491\n11890 17812\n29796 44716\n77427 100000\n45952 68994\n17015 25507\n316 481\n8144 12213\n3610 5434\n58482 87770\n95989 100000\n24848 37306\n21860 32833\n15123 22637\n91374 100000\n85918 100000\n83429 100000\n53850 80805\n14763 22099\n78865 100000\n73516 100000\n79518 100000\n14148 21182\n44328 66575\n91338 100000\n92092 100000\n82227 100000\n54812 82216\n4496 6762\n19207 28817\n14425 21589\n25563 38350\n2039 3054\n53251 79898\n65813 98721\n1711 2566\n62238 93369\n81538 100000\n59365 89085\n17155 25724\n5742 8635\n40900 61400\n72986 100000\n26294 39452\n87552 100000\n4714 7089\n53332 80021\n25868 38797\n29430 44177\n62543 93837\n87814 100000\n88165 100000\n40254 60409\n79996 100000\n15162 22698\n57376 86069\n48022 72123\n72224 100000\n48635 73042\n84704 100000\n55157 82749\n93980 100000\n45663 68555\n43297 65039\n1643 2462\n5308 7978\n69738 100000\n65255 97879\n95168 100000\n65307 97965\n80435 100000\n1662 2491\n11194 16758\n30874 46362\n77964 100000\n61137 91710\n69521 100000\n73532 100000\n2781 4177\n1816 2725\n27874 41838\n23779 35692\n70645 100000\n44529 66870\n15203 22762\n58170 87282\n52042 78104\n54123 81213\n54252 81406\n65351 98032\n57046 85596\n64980 97472\n50285 75472\n2315 3475\n83065 100000\n2848 4273\n70686 100000\n5781 8692\n50099 75192\n91098 100000\n54258 81416\n62809 94228\n9716 14528\n34237 51405\n99753 100000\n87609 100000\n65824 98736\n1475 2210\n97098 100000\n40569 60886\n89039 100000\n25291 37965\n24780 37207\n86538 100000\n68560 100000\n27598 41419\n12056 18061\n1294 1919\n27347 41031\n12305 18425\n98554 100000\n4473 6728\n30686 46081\n92385 100000\n22970 34486\n88614 100000\n67346 100000\n38841 58292\n16391 24539\n2179 3266\n13833 20701\n26635 39959\n95977 100000\n48565 72936\n39136 58738\n47258 70981\n12350 18496\n13586 20344\n32 48\n22863 34322\n28029 42078\n22253 33430\n34633 51993\n41790 62761\n74169 100000\n52890 79376\n95257 100000\n69716 100000\n29340 44046\n77069 100000\n62003 93006\n80390 100000\n21773 32695\n28074 42146\n28981 43513\n35575 53402\n56710 85087\n70830 100000\n15196 22750\n49472 74279\n47097 70736\n8523 12770\n70143 100000\n57228 85853\n86961 100000\n72953 100000\n6722 10092\n18447 27684\n79450 100000\n84675 100000\n39408 59146\n56098 84160\n18786 28192\n52867 79342\n8335 12498\n88090 100000\n69898 100000\n58614 87969\n33878 50873\n36626 54962\n20971 31471\n28401 42640\n45620 68496\n14091 21092\n92654 100000\n83062 100000\n61508 92275\n41746 62694\n12671 18986\n53753 80661\n19424 29147\n92589 100000\n56246 84383\n93062 100000\n79935 100000\n58848 88318\n99262 100000\n72248 100000\n42516 63861\n60821 91241\n61316 91980\n6085 9143\n38499 57770\n52798 79240\n51702 77593\n48915 73460\n18086 27133\n73018 100000\n22821 34260\n27777 41693\n31677 47549\n25930 38888\n88125 100000\n17171 25751\n71749 100000\n15265 22851\n50140 75254\n63261 94891\n17240 25856\n97888 100000\n72527 100000\n12887 19313\n33367 50087\n86366 100000\n16294 24401\n47669 71595\n85725 100000\n63648 95468\n31517 47316\n37699 56580\n16731 25065\n44513 66847\n66691 100000\n80413 100000\n93237 100000\n45524 68355\n67000 100000\n9096 13613\n69658 100000\n13811 20666\n63572 95355\n17801 26710\n26683 40032\n35909 53899\n70223 100000\n5163 7755\n15662 23456\n23274 34942\n52118 78217\n44444 66744\n72133 100000\n68269 100000\n88182 100000\n14241 21321\n49357 74105\n31699 47579\n47590 71474\n75869 100000\n37345 56042\n62373 93575\n3458 5212\n76581 100000\n93818 100000\n30494 45787\n96255 100000\n28172 42294\n63707 95557\n67493 100000\n14859 22242\n36386 54606\n81212 100000\n94092 100000\n89479 100000\n1453 2173\n19761 29652\n37478 56245\n12302 18419\n93056 100000\n9829 14703\n17185 25774\n48019 72118\n12203 18274\n2340 3513\n58499 87795\n71632 100000\n4227 6358\n17651 26483\n64699 97049\n60960 91447\n34908 52413\n61112 91676\n74874 100000\n27961 41973\n32336 48550\n1406 2101\n15200 22757\n78983 100000\n26376 39576\n4621 6950\n988 1479\n92076 100000\n93407 100000\n95056 100000\n90987 100000\n32384 48621\n62751 94142\n75207 100000\n20044 30069\n36826 55250\n44827 67308\n98411 100000\n57406 86116\n32689 49076\n83759 100000\n36957 55458\n79149 100000\n45093 67714\n47185 70870\n52176 78300\n19223 28842\n75393 100000\n11407 17070\n7963 11948\n67881 100000\n45803 68768\n34340 51561\n71448 100000\n39492 59274\n70877 100000\n48390 72669\n23518 35309\n77079 100000\n44781 67235\n5578 8391\n74926 100000\n20054 30085\n87173 100000\n44010 66096\n13362 20025\n95545 100000\n66771 100000\n90329 100000\n23352 35058\n63471 95201\n63122 94689\n81452 100000\n58002 87013\n34875 52363\n32069 48150\n25528 38302\n70661 100000\n61694 92545\n35615 53466\n20309 30477\n28694 43079\n80107 100000\n21802 32742\n46882 70412\n83828 100000\n95677 100000\n67026 100000\n30368 45590\n77158 100000\n30466 45745\n8512 12753\n33423 50167\n30195 45332\n90709 100000\n38152 57258\n61944 92918\n38097 57174\n557 839\n42044 63140\n22534 33839\n28584 42914\n59211 88850\n38388 57598\n9058 13555\n55087 82635\n82234 100000\n55692 83551\n58301 87488\n43501 65335\n498 751\n41770 62731\n17369 26054\n94951 100000\n1758 2636\n75634 100000\n65393 98088\n68333 100000\n28223 42376\n36094 54172\n46107 69225\n9025 13506\n81020 100000\n80093 100000\n93543 100000\n22713 34100\n94909 100000\n95625 100000\n93135 100000\n83348 100000\n45664 68557\n4139 6233\n15274 22866\n36527 54819\n67129 100000\n2863 4297\n32763 49188\n26857 40299\n44470 66780\n29436 44187\n20703 31071\n94248 100000\n56861 85303\n34611 51957\n97288 100000\n50713 76103\n84543 100000\n61958 92939\n24701 37091\n684 1036\n92697 100000\n65074 97608\n95153 100000\n59964 89977\n20217 30337\n43630 65523\n80793 100000\n85961 100000\n53785 80711\n70674 100000\n43357 65127\n8819 13206\n65887 98838\n33864 50852\n30667 46051\n13006 19488\n16573 24833\n24301 36472\n87243 100000\n17141 25700\n96530 100000\n5527 8315\n25980 38965\n60039 90092\n77278 100000\n15594 23356\n19091 28644\n37476 56242\n40501 60779\n56236 84368\n75710 100000\n84102 100000\n25660 38495\n10388 15530\n29088 43671\n42392 63674\n89604 100000\n37778 56697\n93216 100000\n35372 53101\n65036 97550\n40920 61428\n6800 10210\n3812 5738\n67176 100000\n98608 100000\n47405 71200\n72974 100000\n85167 100000\n910 1370\n24265 36416\n66289 99437\n1526 2284\n16109 24125\n44614 66992\n51533 77333\n21694 32571\n62356 93547\n64600 96904\n73024 100000\n7304 10968\n28463 42735\n8115 12168\n15476 23185\n75858 100000\n86904 100000\n36133 54228\n15546 23285\n22791 34213\n80018 100000\n74071 100000\n45964 69012\n72092 100000\n78067 100000\n16028 23998\n35791 53720\n9448 14145\n49462 74263\n68905 100000\n23204 34838\n13716 20526\n45611 68484\n29871 44836\n7904 11863\n76095 100000\n74985 100000\n72783 100000\n4299 6470\n54900 82346\n94703 100000\n96086 100000\n46243 69439\n59275 88948\n34437 51703\n74402 100000\n69879 100000\n98843 100000\n49838 74817\n75484 100000\n83485 100000\n80864 100000\n32963 49483\n99087 100000\n88631 100000\n60595 90909\n53314 79991\n57782 86680\n96595 100000\n70579 100000\n27147 40734\n28821 43267\n64859 97288\n12207 18278\n61547 92333\n90045 100000\n81769 100000\n11971 17941\n39999 60027\n42002 63074\n33575 50405\n89437 100000\n19516 29291\n3693 5560\n51658 77528\n89747 100000\n87945 100000\n61180 91776\n31603 47449\n13759 20592\n39830 59779\n6726 10098\n65073 97606\n26422 39646\n79405 100000\n89779 100000\n20462 30715\n6771 10168\n42808 64309\n31026 46591\n34468 51748\n2329 3497\n98822 100000\n41451 62241\n50430 75685\n97291 100000\n32762 49186\n18858 28296\n3826 5757\n30914 46424\n27057 40596\n65195 97791\n9297 13919\n98761 100000\n44761 67204\n26008 39009\n2732 4104\n63863 95785\n97795 100000\n24554 36869\n43916 65954\n36328 54518\n47449 71267\n50490 75773\n26184 39281\n45374 68126\n72537 100000\n68602 100000\n61244 91874\n35769 53685\n17580 26367\n23557 35363\n96578 100000\n85520 100000\n99589 100000\n69188 100000\n55959 83950\n5379 8082\n71276 100000\n94291 100000\n59982 90001\n77646 100000\n93913 100000\n79355 100000\n82436 100000\n17361 26044\n65016 97522\n14040 21014\n9949 14881\n64660 96992\n33332 50037\n66689 100000\n15109 22620\n82927 100000\n65856 98792\n63891 95827\n98353 100000\n72320 100000\n87377 100000\n75286 100000\n96846 100000\n38961 58471\n43546 65396\n58040 87073\n50703 76085\n17804 26715\n26892 40348\n68485 100000\n26854 40295\n98669 100000\n98989 100000\n9860 14748\n46465 69788\n7769 11669\n38487 57751\n49299 74024\n26383 39587\n81527 100000\n47871 71895\n1465 2193\n356 542\n68888 100000\n71787 100000\n46126 69252\n15260 22844\n39875 59851\n77053 100000\n11662 17457\n40117 60208\n33330 50035\n95353 100000\n34599 51940\n44181 66358\n35246 52914\n92239 100000\n63996 95992\n25411 38135\n69986 100000\n50241 75406\n66452 99681\n18707 28075\n77634 100000\n80326 100000\n78524 100000\n76875 100000\n61708 92565\n29194 43834\n81587 100000\n92352 100000\n11872 17784\n83223 100000\n62766 94165\n55660 83508\n67722 100000\n81940 100000\n42421 63722\n29513 44298\n17296 25946\n47538 71400\n64483 96741\n77959 100000\n29864 44825\n92521 100000\n63217 94827\n62052 93087\n37654 56512\n55043 82563\n74130 100000\n39544 59348\n81486 100000\n73809 100000\n43218 64921\n21457 32203\n92497 100000\n85931 100000\n84592 100000\n68556 100000\n89083 100000\n12371 18530\n78935 100000\n73535 100000\n24159 36272\n49568 74425\n6448 9683\n242 367\n96738 100000\n46337 69583\n1853 2785\n71023 100000\n27611 41435\n82680 100000\n98847 100000\n68934 100000\n98619 100000\n5293 7958\n43517 65357\n26736 40113\n41608 62483\n45538 68375\n33198 49831\n11553 17290\n91691 100000\n86742 100000\n83912 100000\n55379 83075\n60368 90575\n42880 64412\n75336 100000\n28309 42506\n70580 100000\n95735 100000\n58907 88410\n94315 100000\n59720 89614\n33046 49613\n92793 100000\n61300 91956\n48580 72958\n9953 14887\n33040 49603\n48152 72309\n55012 82514\n23422 35159\n75646 100000\n18808 28224\n23936 35928\n64621 96933\n23191 34820\n70408 100000\n18765 28159\n3264 4906\n3871 5829\n22216 33369\n2925 4402\n52202 78335\n52895 79382\n45966 69015\n41921 62955\n32819 49274\n41030 61593\n27587 41403\n78710 100000\n53531 80328\n93250 100000\n31810 47759\n79230 100000\n20124 30191\n27727 41615\n7900 11858\n33541 50356\n60256 90409\n83154 100000\n69195 100000\n86537 100000\n68894 100000\n56232 84363\n24771 37193\n84669 100000\n23201 34835\n48564 72935\n34878 52368\n30895 46392\n72967 100000\n77087 100000\n58753 88179\n12133 18173\n10119 15132\n48239 72431\n90449 100000\n92587 100000\n30715 46122\n38843 58294\n93735 100000\n68329 100000\n84989 100000\n24815 37258\n52923 79423\n62662 94011\n60735 91117\n57673 86518\n81888 100000\n76972 100000\n59506 89296\n2854 4282\n6187 9296\n33776 50711\n80406 100000\n7682 11539\n73364 100000\n40601 60935\n20482 30746\n59568 89386\n35628 53486\n86087 100000\n73281 100000\n30124 45221\n45956 68999\n35874 53845\n35572 53397\n81612 100000\n96078 100000\n16725 25059\n1267 1879\n26890 40345\n54683 82021\n85745 100000\n73738 100000\n51941 77945\n78440 100000\n63128 94699\n40540 60841\n7657 11499\n845 1273\n23867 35820\n54567 81856\n86466 100000\n32332 48545\n30783 46222\n31028 46595\n68004 100000\n14811 22171\n43523 65365\n72000 100000\n24850 37309\n30371 45593\n84591 100000\n28792 43221\n86470 100000\n90142 100000\n28781 43204\n57132 85714\n30707 46111\n79089 100000\n84024 100000\n39858 59822\n31716 47602\n23335 35033\n36387 54607\n1066 1593\n44739 67169\n84666 100000\n5448 8196\n64769 97154\n71229 100000\n98268 100000\n1867 2802\n56637 84980\n92498 100000\n99392 100000\n75733 100000\n64048 96075\n27638 41477\n29561 44374\n11800 17672\n37221 55858\n4759 7156\n55653 83498\n96918 100000\n12314 18440\n7829 11755\n59782 89710\n58469 87749\n11716 17544\n44314 66555\n21036 31569\n49187 73870\n14731 22048\n23565 35375\n61643 92473\n18628 27956\n38462 57711\n61057 91587\n75217 100000\n52477 78748\n80778 100000\n81637 100000\n48721 73174\n44998 67576\n91030 100000\n4541 6829\n47113 70760\n65909 98870\n7690 11554\n54121 81211\n92263 100000\n10615 15876\n98140 100000\n59607 89441\n75460 100000\n25421 38150\n35119 52718\n92258 100000\n10081 15073\n90140 100000\n37711 56596\n77734 100000\n76790 100000\n67360 100000\n6982 10479\n18595 27908\n97053 100000\n36794 55203\n37651 56509\n52108 78203\n53773 80693\n73132 100000\n50414 75662\n15904 23809\n57789 86691\n84722 100000\n74299 100000\n72642 100000\n4357 6561\n22649 34005\n69538 100000\n94740 100000\n64130 96195\n96067 100000\n55508 83277\n98627 100000\n88384 100000\n55605 83424\n30672 46060\n97724 100000\n13978 20923\n34962 52491\n26465 39707\n77477 100000\n92207 100000\n19234 28857\n74079 100000\n69339 100000\n50570 75892\n55044 82564\n66700 100000\n87052 100000\n83983 100000\n54944 82416\n56657 85009\n55602 83419\n78481 100000\n77695 100000\n84476 100000\n71712 100000\n63938 95902\n51886 77866\n2490 3734\n35467 53241\n34820 52280\n58318 87516\n3641 5481\n29914 44899\n94021 100000\n35511 53305\n20672 31029\n48025 72127\n83617 100000\n54223 81362\n662 1004\n86533 100000\n94632 100000\n96051 100000\n39580 59408\n53278 79936\n88443 100000\n16763 25116\n15202 22760\n16874 25288\n1276 1893\n53091 79669\n23897 35867\n54912 82366\n16620 24909\n73012 100000\n57182 85788\n31088 46687\n41769 62729\n72331 100000\n6210 9328\n37140 55728\n79823 100000\n62536 93826\n37409 56140\n59697 89581\n59041 88600\n3932 5925\n67704 100000\n73031 100000\n24054 36114\n23845 35790\n7371 11072\n36947 55443\n43329 65088\n98563 100000\n43428 65230\n46627 70035\n18993 28499\n55980 83983\n94920 100000\n68071 100000\n85233 100000\n67105 100000\n28717 43107\n80049 100000\n63543 95312\n95393 100000\n53948 80952\n76785 100000\n95429 100000\n51676 77556\n72837 100000\n62265 93412\n28166 42285\n15726 23545\n63010 94520\n79757 100000\n51406 77139\n28684 43064\n51876 77852\n89094 100000\n37940 56945\n62784 94189\n38397 57614\n45118 67751\n76425 100000\n48697 73141\n70404 100000\n33799 50747\n4571 6878\n70140 100000\n50803 76246\n10288 15382\n90372 100000\n14372 21514\n55041 82560\n79116 100000\n929 1396\n77573 100000\n7922 11888\n73723 100000\n92279 100000\n74871 100000\n90746 100000\n33004 49546\n99075 100000\n54811 82215\n72935 100000\n4314 6493\n73138 100000\n25319 38001\n48116 72256\n89933 100000\n52418 78657\n86067 100000\n44857 67358\n6977 10472\n93345 100000\n37656 56514\n29301 43986\n4359 6564\n59930 89929\n42333 63581\n2727 4098\n77921 100000\n44642 67031\n48348 72600\n31253 46924\n81862 100000\n55640 83480\n28539 42848\n26775 40174\n3960 5969\n29520 44310\n38979 58501\n34626 51981\n35350 53068\n68927 100000\n23975 35987\n41963 63018\n15691 23497\n48024 72125\n82983 100000\n18144 27221\n33377 50104\n99515 100000\n80159 100000\n79488 100000\n44969 67530\n73726 100000\n72300 100000\n63263 94893\n60502 90773\n85435 100000\n21888 32880\n41420 62197\n98256 100000\n18041 27065\n4336 6529\n23123 34718\n5301 7969\n40146 60248\n26033 39049\n2553 3831\n15126 22641\n97848 100000\n64348 96526\n1247 1852\n30515 45820\n73435 100000\n49879 74881\n21070 31619\n66474 99715\n78621 100000\n70008 100000\n43884 65906\n37535 56330\n17419 26128\n82178 100000\n4287 6450\n88296 100000\n49720 74643\n47140 70799\n54839 82258\n32534 48841\n21845 32809\n92961 100000\n47213 70909\n78175 100000\n90791 100000\n54629 81946\n70141 100000\n6151 9244\n49146 73810\n82391 100000\n47326 71079\n61479 92230\n6174 9278\n74122 100000\n66164 99253\n83105 100000\n79825 100000\n38802 58238\n19779 29681\n60095 90174\n75723 100000\n26920 40388\n37845 56798\n62842 94277\n64087 96132\n66040 99065\n48773 73248\n9168 13725\n53913 80902\n43382 65164\n38057 57111\n54125 81216\n2362 3548\n29522 44313\n45482 68294\n75344 100000\n34266 51448\n13878 20769\n19579 29385\n77376 100000\n75342 100000\n51961 77979\n74386 100000\n29274 43948\n85595 100000\n50856 76326\n39369 59090\n38668 58025\n31064 46651\n27457 41203\n32786 49224\n75408 100000\n98003 100000\n67706 100000\n16374 24517\n83296 100000\n79051 100000\n10305 15409\n68482 100000\n50618 75963\n85859 100000\n94927 100000\n99827 100000\n85199 100000\n46535 69895\n44248 66458\n24785 37215\n37808 56744\n7346 11031\n60263 90416\n28084 42161\n81707 100000\n76221 100000\n27737 41631\n30139 45245\n16194 24247\n29287 43967\n53887 80859\n75280 100000\n63295 94939\n10950 16389\n92399 100000\n24913 37406\n81601 100000\n54008 81045\n90457 100000\n21006 31521\n87007 100000\n59023 88574\n42268 63473\n61253 91886\n33743 50664\n70842 100000\n67286 100000\n13048 19554\n26139 39204\n10280 15368\n42327 63571\n59977 89994\n54306 81487\n16478 24675\n55724 83601\n99370 100000\n68575 100000\n45557 68400\n60145 90246\n43828 65820\n7443 11185\n67923 100000\n9366 14022\n63884 95818\n80890 100000\n31949 47966\n41199 61855\n83332 100000\n12494 18717\n30038 45088\n90654 100000\n96287 100000\n52725 79122\n3238 4871\n66797 100000\n39103 58685\n43971 66033\n88519 100000\n76863 100000\n40069 60135\n38600 57925\n52 77\n63522 95276\n73284 100000\n71317 100000\n5971 8972\n96082 100000\n20197 30304\n17460 26194\n44770 67218\n10453 15630\n94023 100000\n68036 100000\n83973 100000\n95862 100000\n815 1225\n26480 39728\n21834 32792\n18679 28032\n65545 98317\n13881 20774\n4694 7057\n56836 85268\n11759 17608\n58827 88285\n4888 7347\n41997 63066\n67107 100000\n11364 17011\n68006 100000\n57190 85801\n76659 100000\n78430 100000\n16430 24602\n88836 100000\n3492 5258\n42502 63843\n10274 15359\n97380 100000\n39178 58800\n63107 94667\n4651 6994\n58025 87047\n56971 85472\n30492 45783\n89916 100000\n33199 49833\n5985 8991\n95599 100000\n81554 100000\n20972 31472\n50449 75713\n16456 24644\n57868 86818\n60261 90414\n70642 100000\n55386 83085\n96050 100000\n64149 96224\n61706 92563\n34569 51896\n26118 39169\n22086 33174\n34230 51395\n9065 13566\n21731 32629\n51432 77179\n66384 99582\n79721 100000\n8165 12245\n13932 20851\n91656 100000\n68762 100000\n11628 17403\n85166 100000\n43924 65966\n61303 91961\n46531 69889\n4989 7499\n28738 43140\n69825 100000\n5792 8708\n86151 100000\n74979 100000\n26107 39156\n98225 100000\n47784 71761\n16777 25134\n75844 100000\n3806 5729\n29036 43598\n36249 54399\n21608 32436\n59984 90004\n57777 86674\n1980 2968\n2933 4413\n13846 20719\n49667 74567\n99843 100000\n71557 100000\n57907 86874\n22237 33403\n30963 46496\n13346 19997\n27917 41906\n33625 50478\n3118 4687\n93703 100000\n8548 12805\n83808 100000\n3199 4813\n18831 28256\n13097 19625\n95838 100000\n53681 80548\n16967 25434\n18311 27474\n42433 63741\n62214 93334\n47847 71859\n46437 69748\n50319 75525\n55551 83344\n85029 100000\n71143 100000\n5519 8303\n16080 24081\n98412 100000\n88749 100000\n70517 100000\n41998 63068\n72644 100000\n70251 100000\n81160 100000\n58023 87043\n94890 100000\n92105 100000\n89662 100000\n71289 100000\n6481 9733\n68262 100000\n57663 86504\n80579 100000\n79827 100000\n35970 53985\n59187 88813\n3243 4877\n69545 100000\n17575 26358\n43464 65280\n7635 11468\n68828 100000\n1891 2835\n52911 79407\n33651 50517\n20569 30877\n99161 100000\n93985 100000\n47554 71422\n13382 20054\n30595 45942\n66046 99072\n10668 15959\n93594 100000\n34637 51999\n773 1160\n33197 49829\n90898 100000\n2567 3852\n16991 25471\n37455 56211\n95320 100000\n83488 100000\n58107 87184\n21546 32333\n60385 90603\n52601 78933\n54950 82424\n85907 100000\n34624 51977\n76157 100000\n93611 100000\n76332 100000\n50047 75114\n58764 88196\n54107 81188\n39993 60018\n47008 70597\n52835 79295\n22778 34194\n70828 100000\n72014 100000\n62440 93677\n96140 100000\n75223 100000\n22721 34109\n35140 52752\n99021 100000\n15054 22536\n40484 60755\n74089 100000\n20988 31495\n69380 100000\n65770 98659\n12647 18952\n45520 68350\n46897 70432\n95251 100000\n46804 70296\n80603 100000\n72202 100000\n90337 100000\n20924 31402\n50370 75602\n8369 12544\n5260 7906\n71083 100000\n60242 90389\n49257 73971\n68185 100000\n13121 19660\n56360 84558\n3624 5455\n96238 100000\n9409 14088\n52515 78808\n21046 31584\n93518 100000\n4626 6958\n83552 100000\n35160 52782\n49919 74934\n67089 100000\n87817 100000\n11660 17454\n68108 100000\n24706 37098\n52358 78565\n67902 100000\n10306 15410\n88323 100000\n57368 86058\n37435 56181\n56968 85468\n48417 72710\n32747 49164\n95994 100000\n95963 100000\n29800 44723\n73940 100000\n14557 21791\n60059 90120\n97264 100000\n86759 100000\n89032 100000\n47660 71581\n69756 100000\n62835 94266\n44104 66236\n24194 36320\n61851 92782\n43505 65340\n13927 20842\n93672 100000\n5126 7703\n87025 100000\n65070 97603\n15714 23529\n45900 68918\n30399 45638\n1097 1634\n83923 100000\n87981 100000\n85923 100000\n6215 9335\n12692 19016\n84616 100000\n81451 100000\n78478 100000\n864 1301\n32637 49003\n83514 100000\n99233 100000\n45864 68862\n44194 66378\n16945 25399\n31926 47933\n60147 90249\n92117 100000\n19002 28510\n29354 44068\n75132 100000\n19337 29010\n17465 26201\n22573 33896\n12742 19090\n87969 100000\n59177 88797\n79834 100000\n22871 34332\n12155 18204\n96383 100000\n93631 100000\n16346 24475\n23796 35718\n52022 78073\n18327 27496\n46586 69974\n72005 100000\n40504 60782\n80337 100000\n25895 38833\n73091 100000\n18979 28477\n50683 76056\n62044 93075\n31054 46635\n40603 60938\n55364 83050\n95974 100000\n36590 54912\n36661 55013\n96208 100000\n90694 100000\n3964 5975\n12107 18134\n93570 100000\n76799 100000\n21313 31987\n28956 43476\n67570 100000\n7280 10933\n42735 64195\n74207 100000\n37284 55953\n18782 28186\n32115 48220\n23598 35424\n57703 86562\n45422 68197\n35304 52998\n72454 100000\n25799 38698\n271 409\n81120 100000\n18952 28434\n29209 43857\n8930 13369\n9963 14899\n44206 66392\n46805 70297\n84151 100000\n36082 54155\n47732 71689\n86176 100000\n47627 71532\n33264 49938\n26137 39200\n49301 74027\n94388 100000\n57758 86640\n93342 100000\n20659 31008\n24350 36553\n40070 60137\n87924 100000\n86161 100000\n1516 2269\n63057 94588\n68795 100000\n55225 82849\n48698 73142\n19405 29116\n52024 78077\n91483 100000\n32092 48184\n70528 100000\n63281 94919\n47655 71574\n15244 22823\n88939 100000\n36512 54795\n36092 54168\n46105 69223\n33906 50916\n69365 100000\n22322 33523\n8857 13259\n81740 100000\n57466 86205\n80227 100000\n67622 100000\n31142 46766\n89930 100000\n98467 100000\n60244 90391\n41940 62983\n20835 31265\n77852 100000\n18301 27458\n11176 16729\n90800 100000\n69697 100000\n63292 94934\n26097 39140\n20595 30921\n69571 100000\n69435 100000\n36549 54851\n52978 79502\n2101 3145\n63102 94660\n77506 100000\n40119 60210\n13291 19915\n14229 21306\n56116 84188\n37799 56732\n84833 100000\n37066 55623\n51865 77836\n92125 100000\n90195 100000\n88819 100000\n30311 45506\n84668 100000\n79328 100000\n15348 22985\n20167 30257\n60381 90599\n88162 100000\n82167 100000\n34472 51753\n2438 3657\n55409 83125\n30536 45852\n72106 100000\n51277 76949\n49464 74265\n80551 100000\n51729 77631\n36872 55322\n50827 76281\n63250 94874\n10197 15243\n88624 100000\n54512 81779\n8267 12399\n93763 100000\n75016 100000\n92412 100000\n63750 95616\n57001 85522\n94379 100000\n15741 23565\n4263 6413\n10692 16000\n1512 2264\n96852 100000\n7595 11403\n71278 100000\n94997 100000\n98218 100000\n88531 100000\n79557 100000\n92846 100000\n64519 96786\n99703 100000\n40118 60209\n27033 40557\n21444 32184\n24918 37414\n65443 98165\n63614 95416\n19270 28908\n30116 45206\n99247 100000\n57815 86734\n31004 46559\n46241 69435\n48454 72766\n71931 100000\n25595 38398\n11389 17044\n15074 22566\n48553 72915\n80790 100000\n16871 25283\n11536 17266\n89643 100000\n42577 63950\n11328 16958\n8492 12727\n40011 60047\n99794 100000\n52428 78673\n68899 100000\n81449 100000\n3992 6020\n44361 66625\n4160 6264\n51480 77250\n16983 25459\n41138 61762\n27231 40864\n89972 100000\n13510 20235\n6135 9220\n43511 65348\n99037 100000\n67246 100000\n99694 100000\n54151 81255\n61183 91780\n3560 5359\n95195 100000\n84056 100000\n81643 100000\n16481 24680\n12057 18063\n42992 64583\n33151 49765\n26233 39353\n99140 100000\n16541 24782\n65589 98383\n22387 33612\n34934 52448\n2699 4053\n63983 95973\n43103 64749\n89201 100000\n20684 31048\n9599 14361\n41201 61858\n39233 58883\n20262 30404\n32417 48673\n16008 23969\n18375 27573\n85018 100000\n74303 100000\n89556 100000\n57511 86276\n31120 46734\n23520 35312\n63326 94987\n78378 100000\n85092 100000\n34480 51765\n92626 100000\n18596 27909\n34276 51464\n94452 100000\n53092 79671\n8855 13256\n75351 100000\n65808 98714\n10522 15735\n91988 100000\n89919 100000\n57668 86510\n96497 100000\n59766 89687\n84026 100000\n95179 100000\n61839 92763\n86208 100000\n50209 75357\n74268 100000\n20579 30894\n83530 100000\n2665 4001\n95232 100000\n22597 33936\n89969 100000\n23995 36025\n1291 1913\n63209 94815\n52570 78888\n49978 75016\n14468 21655\n69796 100000\n26872 40321\n18275 27418\n10364 15493\n49478 74290\n27243 40882\n6137 9223\n68369 100000\n48319 72558\n11831 17720\n22477 33754\n22219 33373\n35694 53571\n23855 35803\n16778 25135\n93940 100000\n88673 100000\n36278 54442\n17775 26671\n96332 100000\n80181 100000\n73411 100000\n7697 11562\n57966 86962\n49247 73958\n74388 100000\n27286 40941\n68849 100000\n8728 13068\n86521 100000\n45616 68491\n95427 100000\n58036 87066\n3702 5574\n31995 48037\n27607 41429\n8357 12526\n42290 63507\n52877 79357\n96802 100000\n49998 75048\n42708 64149\n71443 100000\n40442 60695\n40466 60727\n21405 32127\n62051 93086\n65211 97813\n87950 100000\n45206 67876\n27976 41995\n50744 76156\n48745 73206\n34847 52319\n57952 86941\n71075 100000\n2377 3568\n58849 88320\n88493 100000\n13424 20112\n83437 100000\n13648 20428\n90053 100000\n25100 37679\n29972 44989\n96944 100000\n59370 89092\n30190 45326\n83110 100000\n27329 41007\n52596 78924\n47171 70851\n4358 6563\n88107 100000\n27328 41006\n80629 100000\n61909 92867\n36227 54360\n36499 54775\n20333 30513\n12820 19209\n87991 100000\n73496 100000\n66930 100000\n88228 100000\n73041 100000\n15717 23533\n34751 52174\n29579 44402\n25772 38660\n74690 100000\n93845 100000\n27857 41812\n39997 60024\n82644 100000\n72757 100000\n6190 9302\n27278 40929\n11614 17383\n54779 82168\n42034 63125\n67556 100000\n76052 100000\n65512 98269\n38831 58276\n18225 27343\n80424 100000\n24891 37370\n56628 84966\n93038 100000\n2793 4196\n34197 51348\n59943 89947\n52132 78236\n13505 20228\n90469 100000\n41088 61680\n35242 52908\n55944 83926\n62552 93849\n75278 100000\n87880 100000\n24766 37187\n22600 33939\n36454 54707\n62883 94338\n21428 32162\n72303 100000\n57717 86584\n62810 94229\n19795 29704\n69414 100000\n31140 46763\n70886 100000\n30004 45038\n30803 46252\n87678 100000\n80453 100000\n42309 63539\n71415 100000\n79251 100000\n44541 66889\n37589 56418\n26855 40296\n92728 100000\n86347 100000\n9432 14124\n68133 100000\n26832 40260\n55491 83254\n23225 34870\n16639 24934\n40644 61000\n22594 33932\n35758 53668\n14818 22183\n29147 43763\n46625 70031\n92050 100000\n9319 13951\n43216 64918\n58631 87996\n96292 100000\n36131 54226\n79642 100000\n76081 100000\n63337 95003\n20274 30424\n88265 100000\n72918 100000\n78820 100000\n30487 45776\n30746 46168\n21374 32077\n93811 100000\n61344 92023\n4445 6688\n12954 19412\n26819 40240\n2590 3885\n96720 100000\n23262 34925\n84440 100000\n10627 15896\n25833 38749\n84221 100000\n11889 17811\n81149 100000\n90443 100000\n73805 100000\n39350 59057\n52159 78278\n53373 80075\n5187 7790\n86751 100000\n91743 100000\n61682 92528\n54501 81765\n24253 36399\n29922 44908\n40794 61234\n29091 43675\n54664 81993\n85790 100000\n40110 60196\n82831 100000\n38615 57946\n7791 11699\n31979 48014\n28486 42767\n37432 56176\n50697 76076\n92982 100000\n57756 86637\n22177 33311\n74549 100000\n66119 99185\n36273 54435\n73913 100000\n83809 100000\n82243 100000\n85037 100000\n15289 22889\n50304 75501\n44355 66617\n12556 18816\n8238 12358\n129 197\n70860 100000\n29621 44460\n89336 100000\n99524 100000\n8649 12952\n73481 100000\n16853 25256\n57657 86497\n70518 100000\n26322 39494\n95489 100000\n85472 100000\n35365 53090\n42494 63830\n67883 100000\n69823 100000\n33461 50228\n33486 50269\n37471 56237\n27682 41547\n43176 64862\n2202 3300\n56065 84114\n71805 100000\n60798 91207\n95262 100000\n333 508\n7272 10921\n38799 58233\n11829 17716\n96101 100000\n30926 46440\n27259 40901\n162 246\n87604 100000\n22377 33601\n11481 17181\n45240 67928\n97535 100000\n86692 100000\n5427 8160\n90661 100000\n70695 100000\n49443 74237\n58000 87009\n54451 81692\n2420 3632\n77757 100000\n43548 65400\n16840 25235\n47738 71698\n22838 34285\n30855 46333\n64932 97400\n72097 100000\n62196 93308\n25118 37709\n73334 100000\n24059 36120\n11115 16637\n64591 96891\n65882 98830\n19741 29622\n91957 100000\n18886 28333\n86798 100000\n11356 16999\n32640 49006\n92408 100000\n69011 100000\n16698 25022\n64698 97048\n65718 98583\n46979 70551\n66009 99021\n42224 63409\n69184 100000\n82742 100000\n48163 72327\n47234 70942\n38343 57535\n18138 27210\n24118 36213\n48534 72887\n43491 65321\n33482 50262\n28250 42414\n13920 20833\n52319 78505\n93891 100000\n69384 100000\n50092 75182\n59126 88723\n12204 18275\n71471 100000\n31793 47732\n90701 100000\n7131 10700\n85445 100000\n48514 72862\n71553 100000\n16085 24088\n14320 21434\n63398 95092\n80000 100000\n79595 100000\n84376 100000\n93102 100000\n32999 49540\n95171 100000\n2927 4405\n96221 100000\n92790 100000\n16428 24599\n43361 65132\n70578 100000\n1178 1754\n31673 47543\n87624 100000\n29628 44472\n27974 41993\n59327 89026\n49485 74303\n22663 34026\n7655 11497\n56662 85016\n48715 73165\n17770 26666\n68081 100000\n66142 99220\n40769 61196\n96102 100000\n3595 5410\n3412 5138\n8792 13163\n87068 100000\n63615 95417\n49929 74946\n20372 30569\n17333 26001\n24866 37334\n22555 33871\n94402 100000\n33285 49969\n32968 49491\n53625 80469\n46678 70111\n70698 100000\n49732 74660\n91940 100000\n51577 77399\n51884 77863\n17222 25829\n96324 100000\n28761 43174\n82702 100000\n71133 100000\n40998 61542\n46042 69128\n63146 94726\n70203 100000\n43942 65993\n11486 17191\n21111 31685\n16986 25464\n96610 100000\n80981 100000\n51682 77563\n97383 100000\n22067 33145\n56830 85258\n64745 97117\n21531 32313\n61634 92459\n18935 28408\n37390 56111\n45506 68326\n45965 69014\n7159 10746\n63498 95244\n32876 49357\n23154 34765\n68857 100000\n63939 95904\n76407 100000\n1063 1589\n9003 13474\n6458 9698\n86835 100000\n12811 19197\n77313 100000\n33780 50717\n81556 100000\n92361 100000\n33108 49698\n26166 39250\n46856 70374\n15457 23157\n19568 29369\n47215 70913\n83952 100000\n21350 32041\n59102 88688\n38456 57703\n37241 55888\n26066 39101\n4220 6349\n77580 100000\n31359 47084\n15237 22813\n89859 100000\n32839 49301\n50958 76475\n76571 100000\n29487 44262\n54895 82337\n20800 31213\n7874 11821\n46644 70059\n65724 98592\n36920 55403\n50055 75126\n81035 100000\n34080 51188\n91191 100000\n7003 10514\n66347 99523\n65547 98321\n93122 100000\n22314 33513\n75228 100000\n39614 59455\n36853 55294\n35910 53901\n42518 63865\n90393 100000\n55462 83207\n92463 100000\n30728 46139\n31728 47623\n34747 52167\n92916 100000\n75909 100000\n96230 100000\n55923 83895\n83613 100000\n99650 100000\n73903 100000\n56371 84573\n29469 44236\n48191 72368\n74373 100000\n54072 81136\n7891 11847\n97650 100000\n22571 33893\n27513 41295\n25843 38760\n17904 26868\n90705 100000\n84934 100000\n17440 26162\n24025 36073\n32193 48331\n17513 26270\n71332 100000\n60049 90108\n68810 100000\n44811 67283\n7827 11753\n64225 96333\n50875 76352\n78697 100000\n79028 100000\n99200 100000\n9552 14294\n99011 100000\n37049 55598\n66214 99332\n70388 100000\n3402 5122\n89564 100000\n6265 9409\n48844 73350\n85232 100000\n31380 47114\n7743 11632\n90009 100000\n2172 3256\n66829 100000\n50605 75944\n47673 71601\n51692 77579\n71346 100000\n90680 100000\n49426 74209\n35281 52966\n91994 100000\n22775 34189\n84224 100000\n91497 100000\n68356 100000\n52379 78596\n23117 34712\n89127 100000\n28092 42175\n79815 100000\n32973 49499\n32776 49209\n86944 100000\n74003 100000\n19291 28940\n44016 66103\n87124 100000\n17690 26541\n30830 46291\n11740 17578\n15052 22533\n72820 100000\n89186 100000\n8179 12268\n40978 61508\n39243 58898\n89978 100000\n71087 100000\n81373 100000\n56165 84267\n70359 100000\n53644 80496\n90298 100000\n43691 65617\n46498 69841\n19849 29785\n68640 100000\n94637 100000\n21831 32787\n2712 4073\n60181 90304\n92216 100000\n50656 76020\n13160 19717\n62645 93982\n74327 100000\n27730 41619\n43005 64602\n58843 88309\n56109 84178\n34782 52222\n95407 100000\n75979 100000\n87079 100000\n83994 100000\n40704 61098\n70245 100000\n26579 39878\n60352 90550\n73785 100000\n44245 66453\n91531 100000\n8221 12334\n54230 81373\n4702 7068\n46266 69474\n56540 84833\n11807 17684\n80669 100000\n53353 80048\n57487 86240\n81596 100000\n13653 20435\n36086 54159\n97607 100000\n66935 100000\n89380 100000\n9310 13938\n47283 71017\n47107 70749\n72308 100000\n89228 100000\n54065 81126\n83634 100000\n28333 42539\n8746 13098\n22169 33298\n3407 5130\n54245 81394\n23236 34886\n11968 17936\n35318 53020\n33261 49933\n67927 100000\n24297 36465\n90253 100000\n10760 16104\n61051 91579\n65482 98228\n41876 62889\n86305 100000\n9396 14065\n23401 35126\n72980 100000\n60204 90336\n16021 23987\n49682 74588\n45224 67906\n7809 11727\n31281 46963\n35585 53420\n33918 50935\n15694 23501\n46798 70284\n22344 33554\n16848 25248\n94256 100000\n68142 100000\n95260 100000\n54946 82418\n94083 100000\n61062 91596\n92684 100000\n67787 100000\n6794 10202\n54173 81285\n94063 100000\n34977 52511\n61841 92766\n56084 84139\n49873 74872\n51031 76586\n26668 40009\n41783 62751\n68107 100000\n65207 97809\n34823 52285\n18527 27804\n72216 100000\n42665 64085\n12511 18747\n74406 100000\n39843 59799\n8924 13359\n85810 100000\n41270 61963\n5474 8236\n56703 85075\n42854 64374\n77931 100000\n48232 72421\n60141 90241\n33808 50763\n84931 100000\n67880 100000\n59735 89638\n72966 100000\n73269 100000\n73588 100000\n36081 54154\n73732 100000\n91057 100000\n25173 37792\n55102 82659\n88615 100000\n74660 100000\n3782 5691\n66498 99746\n81654 100000\n10048 15019\n89444 100000\n83301 100000\n26823 40246\n32139 48255\n24068 36133\n68045 100000\n41926 62962\n13873 20761\n31763 47684\n98326 100000\n89148 100000\n31833 47791\n65382 98074\n99213 100000\n54054 81111\n51563 77376\n49523 74357\n66196 99305\n95250 100000\n39695 59577\n88843 100000\n74919 100000\n72988 100000\n98479 100000\n70200 100000\n50210 75359\n93358 100000\n51204 76841\n66874 100000\n53485 80258\n10847 16237\n16485 24686\n78876 100000\n85157 100000\n40904 61406\n7618 11440\n40208 60337\n5692 8565\n73276 100000\n60507 90780\n34049 51139\n10267 15351\n76384 100000\n49054 73666\n98950 100000\n15302 22908\n29054 43622\n14794 22146\n55801 83712\n2140 3204\n6341 9526\n94932 100000\n88415 100000\n23347 35051\n25878 38811\n14773 22111\n55827 83751\n99740 100000\n25644 38472\n63323 94982\n83600 100000\n55915 83883\n48931 73485\n49287 74011\n25315 37997\n51131 76733\n56081 84135\n42061 63163\n6818 10234\n71251 100000\n77068 100000\n22334 33540\n45604 68472\n75705 100000\n61171 91763\n86221 100000\n88477 100000\n89388 100000\n79200 100000\n55223 82846\n83561 100000\n73467 100000\n79832 100000\n52872 79348\n7713 11586\n65442 98163\n95877 100000\n87882 100000\n75340 100000\n57891 86852\n6619 9935\n72843 100000\n20500 30774\n2109 3158\n75717 100000\n7674 11524\n99205 100000\n2721 4090\n52303 78479\n50194 75336\n12870 19285\n19736 29615\n26203 39312\n59543 89348\n61067 91604\n97220 100000\n24901 37389\n75885 100000\n14208 21275\n7773 11673\n85905 100000\n7911 11873\n71786 100000\n85114 100000\n94666 100000\n15615 23386\n86128 100000\n46980 70553\n41200 61856\n49846 74830\n66607 99904\n24241 36384\n17074 25595\n42636 64041\n31271 46949\n25648 38479\n39670 59539\n32005 48053\n79572 100000\n3434 5173\n72127 100000\n62197 93309\n65078 97614\n57994 87001\n20193 30297\n12947 19400\n94121 100000\n42258 63459\n67143 100000\n54004 81037\n82869 100000\n97461 100000\n87869 100000\n35799 53733\n99514 100000\n79093 100000\n36392 54614\n23466 35229\n69034 100000\n64180 96268\n25089 37666\n59504 89292\n69596 100000\n61013 91526\n49390 74152\n14279 21374\n19850 29786\n78298 100000\n74516 100000\n21000 31513\n37524 56313\n47511 71357\n53321 80002\n24296 36464\n27684 41549\n90621 100000\n96681 100000\n91974 100000\n57948 86936\n78202 100000\n95445 100000\n15907 23814\n22839 34287\n20471 30729\n34532 51844\n10313 15420\n567 855\n13596 20358\n13493 20210\n12923 19364\n81991 100000\n48538 72893\n46377 69650\n85059 100000\n30374 45598\n42790 64281\n21762 32678\n3526 5309\n44428 66723\n90715 100000\n97528 100000\n57219 85841\n31286 46971\n43648 65551\n4976 7480\n71938 100000\n8422 12623\n56217 84342\n37449 56200\n62871 94321\n73303 100000\n82162 100000\n19506 29276\n66941 100000\n98033 100000\n64380 96572\n69442 100000\n50673 76042\n49037 73642\n50919 76417\n60133 90231\n61290 91941\n93575 100000\n43368 65143\n75865 100000\n29531 44329\n88176 100000\n39913 59908\n88181 100000\n84175 100000\n76192 100000\n95361 100000\n5370 8070\n60372 90583\n16146 24177\n89401 100000\n27575 41388\n63554 95329\n793 1191\n27392 41103\n41134 61756\n5555 8357\n496 747\n49051 73661\n66958 100000\n82986 100000\n64003 96006\n34317 51528\n99928 100000\n2653 3983\n5879 8842\n34508 51806\n3691 5558\n77010 100000\n37630 56480\n30626 45989\n86698 100000\n75210 100000\n17812 26727\n85123 100000\n52846 79309\n30458 45730\n84113 100000\n35929 53928\n21619 32456\n49360 74110\n64645 96968\n37288 55960\n60299 90468\n6903 10365\n26496 39754\n85118 100000\n2235 3352\n516 778\n46611 70011\n42620 64019\n50864 76337\n71505 100000\n52759 79182\n38623 57956\n74505 100000\n57024 85562\n61052 91581\n44283 66509\n50197 75341\n53213 79843\n14061 21043\n94854 100000\n76274 100000\n16913 25350\n53480 80251\n34113 51234\n72621 100000\n84531 100000\n54764 82147\n86501 100000\n34885 52376\n23559 35366\n7393 11104\n84369 100000\n4411 6639\n7247 10883\n41821 62809\n7634 11467\n7291 10950\n99013 100000\n4544 6834\n41937 62978\n82962 100000\n1812 2720\n70460 100000\n49066 73686\n37749 56655\n75777 100000\n37310 55993\n27878 41845\n48791 73277\n97399 100000\n75557 100000\n81101 100000\n88032 100000\n39074 58643\n64036 96057\n89320 100000\n67943 100000\n43721 65662\n71227 100000\n23650 35500\n73278 100000\n3536 5324\n12019 18011\n1402 2095\n66928 100000\n2439 3659\n27010 40521\n91762 100000\n40539 60839\n88600 100000\n92608 100000\n8947 13392\n39777 59703\n80265 100000\n93127 100000\n41584 62443\n18766 28161\n11852 17750\n68663 100000\n17541 26311\n74757 100000\n16612 24895\n87354 100000\n3919 5906\n40967 61491\n60408 90637\n26881 40333\n96784 100000\n33690 50577\n90500 100000\n30833 46296\n50956 76472\n972 1455\n24294 36460\n59076 88650\n60001 90029\n10101 15106\n81202 100000\n27678 41541\n54748 82121\n81671 100000\n9308 13935\n74292 100000\n77962 100000\n58590 87930\n22274 33457\n86911 100000\n54663 81992\n39344 59049\n89648 100000\n13593 20355\n93723 100000\n37035 55579\n18255 27389\n42571 63941\n70436 100000\n56790 85195\n64461 96705\n81015 100000\n42508 63851\n37114 55691\n24503 36795\n54966 82446\n80791 100000\n29866 44828\n20208 30322\n48236 72427\n11900 17828\n19593 29407\n18986 28488\n35094 52683\n80601 100000\n17040 25542\n38851 58306\n56834 85265\n83656 100000\n43452 65263\n95447 100000\n78422 100000\n11516 17235\n57321 85988\n17622 26435\n16793 25160\n54838 82256\n67554 100000\n93601 100000\n82499 100000\n94264 100000\n57977 86978\n27485 41247\n37269 55932\n22305 33502\n17315 25973\n66981 100000\n93574 100000\n8152 12225\n98941 100000\n74295 100000\n48875 73396\n32391 48632\n57713 86579\n92493 100000\n27602 41424\n21446 32187\n32183 48315\n96137 100000\n53930 80927\n51508 77292\n25512 38279\n34520 51823\n76244 100000\n75409 100000\n66320 99481\n1197 1782\n61990 92987\n21205 31821\n94117 100000\n40610 60947\n24143 36247\n85312 100000\n27410 41128\n2611 3920\n97860 100000\n58945 88459\n64824 97233\n95515 100000\n83466 100000\n52933 79438\n29903 44882\n50710 76097\n12335 18474\n78960 100000\n77823 100000\n63589 95381\n61869 92809\n98757 100000\n41373 62124\n73396 100000\n77338 100000\n79684 100000\n60239 90385\n64398 96600\n410 623\n38114 57203\n74818 100000\n5064 7608\n94014 100000\n56373 84576\n5046 7581\n48695 73138\n21677 32546\n30680 46072\n12919 19359\n30347 45559\n4902 7369\n84566 100000\n37412 56144\n65664 98499\n35717 53606\n37889 56865\n61348 92030\n68492 100000\n31387 47125\n24524 36825\n4191 6309\n97060 100000\n9244 13838\n57475 86219\n73222 100000\n35864 53831\n30174 45297\n7586 11390\n1624 2430\n46603 69999\n69289 100000\n82307 100000\n32604 48948\n31733 47633\n35332 53042\n96580 100000\n78680 100000\n5341 8026\n8673 12990\n71025 100000\n25856 38780\n1780 2672\n76826 100000\n76013 100000\n12274 18378\n80735 100000\n48557 72923\n31065 46652\n61382 92077\n70297 100000\n79878 100000\n447 680\n45601 68467\n90764 100000\n54988 82483\n42363 63627\n51871 77845\n99818 100000\n87719 100000\n31625 47482\n27820 41757\n82709 100000\n75561 100000\n1207 1795\n48219 72404\n30402 45644\n63076 94619\n77300 100000\n50957 76474\n98355 100000\n37780 56699\n66427 99642\n17146 25708\n35833 53784\n14247 21330\n67103 100000\n96947 100000\n60114 90205\n10967 16415\n74183 100000\n65539 98308\n85688 100000\n53698 80577\n67765 100000\n40387 60612\n56412 84637\n93828 100000\n2602 3905\n62882 94336\n98771 100000\n85133 100000\n29687 44559\n70303 100000\n29893 44867\n33343 50054\n85497 100000\n28190 42323\n62413 93634\n17822 26742\n32932 49440\n16349 24479\n33521 50323\n27866 41825\n83727 100000\n68013 100000\n40583 60907\n34794 52238\n58781 88219\n64126 96189\n72205 100000\n29289 43970\n51784 77717\n97792 100000\n76587 100000\n1071 1600\n97436 100000\n10674 15969\n61372 92062\n6682 10034\n7178 10776\n82560 100000\n34686 52075\n85984 100000\n59667 89535\n40581 60904\n43055 64678\n93316 100000\n88817 100000\n93865 100000\n16203 24264\n55849 83784\n47682 71616\n29257 43929\n52572 78890\n60343 90534\n68264 100000\n92377 100000\n67796 100000\n93645 100000\n37039 55585\n13056 19567\n76373 100000\n49104 73744\n35352 53072\n4862 7303\n35016 52570\n95751 100000\n62288 93447\n78206 100000\n11519 17240\n56802 85215\n75383 100000\n93948 100000\n75750 100000\n67543 100000\n83891 100000\n76023 100000\n556 837\n33552 50372\n70926 100000\n41780 62747\n39946 59955\n28205 42349\n2821 4234\n32702 49093\n36800 55212\n14460 21645\n99314 100000\n57688 86540\n64409 96619\n51896 77881\n79352 100000\n31582 47413\n38964 58476\n52376 78591\n71080 100000\n64135 96203\n96663 100000\n66101 99157\n33262 49935\n17494 26239\n29702 44582\n48355 72611\n72635 100000\n48503 72845\n64373 96560\n52439 78689\n97936 100000\n1173 1746\n85259 100000\n55550 83342\n45793 68753\n46913 70456\n70064 100000\n80268 100000\n53037 79587\n31085 46683\n34852 52327\n78244 100000\n66475 99717\n53673 80537\n64724 97088\n15064 22551\n55929 83903\n78618 100000\n30415 45665\n30427 45684\n83943 100000\n10094 15094\n37174 55782\n73619 100000\n44784 67239\n31291 46977\n31548 47363\n5636 8480\n58212 87351\n9923 14838\n15273 22864\n13478 20187\n54171 81283\n47095 70733\n81778 100000\n16822 25208\n23871 35826\n48817 73311\n57960 86954\n4800 7214\n5577 8390\n69601 100000\n76540 100000\n77914 100000\n1372 2046\n60425 90662\n5598 8425\n39022 58568\n18964 28452\n91301 100000\n66212 99328\n83730 100000\n5488 8258\n29381 44103\n49755 74693\n40228 60368\n31844 47809\n10612 15872\n94585 100000\n44203 66388\n10396 15541\n72389 100000\n6460 9701\n44846 67340\n64503 96766\n60891 91349\n64863 97293\n56931 85410\n35637 53495\n85547 100000\n9857 14744\n47094 70732\n17603 26403\n84078 100000\n93298 100000\n80543 100000\n94999 100000\n49200 73887\n68254 100000\n76265 100000\n83328 100000\n48449 72758\n99742 100000\n5576 8389\n70701 100000\n32841 49304\n47921 71972\n19185 28785\n37678 56549\n10783 16142\n20791 31202\n40465 60726\n5868 8826\n83418 100000\n7714 11587\n22301 33496\n19959 29949\n67373 100000\n97852 100000\n31322 47026\n58792 88234\n13997 20950\n29111 43708\n95001 100000\n26686 40036\n83717 100000\n56963 85460\n392 594\n52910 79405\n95244 100000\n42954 64528\n60229 90370\n83926 100000\n76802 100000\n563 850\n75350 100000\n66636 99942\n51066 76638\n921 1385\n76822 100000\n66157 99241\n81755 100000\n14955 22386\n4665 7014\n78738 100000\n5059 7602\n71205 100000\n89299 100000\n82684 100000\n33596 50435\n73670 100000\n83506 100000\n33857 50843\n51920 77915\n61731 92599\n77912 100000\n63477 95210\n79259 100000\n70133 100000\n64934 97403\n82277 100000\n6608 9919\n49852 74841\n1753 2631\n17605 26407\n69204 100000\n67156 100000\n1383 2064\n41105 61708\n44025 66116\n43562 65423\n11659 17453\n32924 49429\n71923 100000\n46934 70487\n82197 100000\n34551 51869\n78494 100000\n30717 46126\n36985 55503\n35708 53593\n80633 100000\n20427 30657\n8498 12735\n96306 100000\n38420 57649\n46251 69453\n82835 100000\n37715 56602\n17821 26741\n39396 59134\n80943 100000\n49192 73875\n27733 41625\n51711 77607\n69591 100000\n68363 100000\n81932 100000\n36884 55343\n94821 100000\n16424 24594\n72707 100000\n17901 26863\n27332 41011\n32448 48723\n15997 23952\n29465 44229\n23661 35515\n27113 40684\n59799 89737\n71003 100000\n53841 80793\n50 74\n9109 13634\n48671 73098\n23651 35501\n94521 100000\n39567 59385\n40298 60475\n31025 46589\n77486 100000\n55748 83637\n24310 36487\n30079 45147\n51791 77729\n97744 100000\n47528 71382\n98921 100000\n22393 33621\n97226 100000\n1211 1801\n69805 100000\n21353 32045\n16560 24810\n87340 100000\n60190 90318\n43158 64835\n53895 80871\n10383 15523\n81034 100000\n82554 100000\n13675 20466\n36828 55254\n41143 61770\n49905 74915\n77025 100000\n41551 62394\n57505 86268\n90909 100000\n10904 16324\n46346 69597\n56043 84078\n80554 100000\n53743 80647\n87009 100000\n20601 30929\n5255 7897\n68748 100000\n42091 63207\n55307 82966\n52627 78975\n1920 2879\n10651 15931\n56731 85116\n48820 73316\n438 666\n47671 71598\n843 1270\n79160 100000\n74061 100000\n94797 100000\n45562 68407\n63693 95533\n54610 81918\n57942 86925\n59678 89554\n31681 47555\n58054 87096\n77308 100000\n47163 70838\n94937 100000\n14797 22150\n580 875\n67714 100000\n2460 3691\n68928 100000\n52010 78057\n5694 8568\n19106 28666\n30829 46290\n29560 44372\n65135 97700\n53029 79578\n49841 74823\n73487 100000\n20219 30340\n29160 43782\n48455 72768\n81785 100000\n99779 100000\n56529 84816\n72515 100000\n15807 23667\n84905 100000\n26194 39295\n3294 4952\n46669 70097\n3103 4665\n21044 31581\n26957 40447\n61531 92308\n37568 56383\n83765 100000\n75180 100000\n15638 23416\n17881 26830\n74120 100000\n25892 38827\n52816 79266\n27073 40622\n72118 100000\n56015 84036\n75072 100000\n36845 55283\n78197 100000\n12029 18027\n40993 61532\n50676 76045\n74493 100000\n62210 93327\n88091 100000\n97056 100000\n7177 10775\n87112 100000\n11070 16572\n16724 25057\n42498 63837\n12224 18300\n55466 83213\n14387 21532\n87744 100000\n93152 100000\n66411 99620\n81123 100000\n62604 93927\n35489 53270\n70204 100000\n20276 30428\n38116 57206\n46574 69956\n75778 100000\n49932 74950\n37201 55825\n52146 78258\n40404 60635\n73078 100000\n98919 100000\n13237 19834\n86959 100000\n7267 10913\n3035 4562\n11424 17094\n95441 100000\n99826 100000\n90206 100000\n45563 68409\n18434 27661\n85882 100000\n73658 100000\n86984 100000\n7792 11701\n88254 100000\n31150 46776\n9707 14516\n19041 28564\n66896 100000\n34914 52421\n88387 100000\n57227 85852\n44576 66935\n55681 83533\n14296 21398\n54266 81425\n89611 100000\n94726 100000\n34695 52088\n20546 30844\n80059 100000\n4111 6195\n89800 100000\n84403 100000\n41303 62016\n95197 100000\n62864 94311\n35497 53284\n19120 28688\n65286 97930\n53842 80794\n45298 68013\n31713 47598\n9353 14004\n9643 14421\n6647 9983\n79303 100000\n10307 15411\n53241 79885\n83494 100000\n39419 59160\n672 1017\n12488 18707\n98552 100000\n16006 23966\n1528 2287\n59583 89408\n3773 5677\n659 1000\n48496 72834\n64992 97489\n54190 81310\n57616 86435\n83024 100000\n25903 38845\n92240 100000\n38659 58012\n20492 30762\n1228 1824\n31595 47437\n67441 100000\n94278 100000\n71850 100000\n14051 21030\n24718 37113\n27091 40652\n27703 41581\n968 1449\n65295 97946\n88868 100000\n82428 100000\n30170 45291\n22207 33356\n91945 100000\n70971 100000\n63979 95968\n77795 100000\n20805 31221\n7973 11963\n18477 27727\n66513 99765\n36456 54709\n39245 58901\n16576 24838\n25134 37732\n3991 6018\n9968 14904\n24206 36339\n24161 36274\n23125 34721\n81552 100000\n30921 46433\n52484 78759\n74247 100000\n50586 75916\n31900 47894\n25233 37885\n35265 52943\n60401 90628\n452 687\n70706 100000\n98452 100000\n72694 100000\n18973 28467\n93330 100000\n25941 38905\n60143 90243\n72859 100000\n72297 100000\n53990 81015\n20530 30821\n79210 100000\n52476 78747\n27024 40544\n10409 15561\n98638 100000\n59650 89508\n87279 100000\n81166 100000\n15754 23588\n9284 13900\n91661 100000\n96099 100000\n7712 11585\n20385 30590\n24444 36697\n3248 4885\n26245 39373\n6797 10206\n21020 31541\n6290 9452\n83191 100000\n22264 33445\n51075 76649\n17922 26897\n53427 80166\n43266 64991\n89953 100000\n78875 100000\n4618 6946\n83232 100000\n1413 2110\n64682 97023\n93333 100000\n46705 70149\n14227 21303\n8446 12657\n15188 22740\n99945 100000\n80397 100000\n60431 90670\n5286 7947\n313 476\n94553 100000\n62807 94225\n84413 100000\n83716 100000\n47441 71253\n5700 8577\n96934 100000\n18830 28254\n32691 49079\n70137 100000\n38794 58226\n4170 6276\n19889 29843\n51539 77343\n95947 100000\n52790 79229\n49825 74800\n37260 55916\n42477 63805\n11257 16852\n44302 66536\n9759 14595\n98426 100000\n58725 88142\n49909 74920\n18778 28179\n76503 100000\n59323 89019\n85575 100000\n72510 100000\n75543 100000\n60598 90915\n47454 71275\n83284 100000\n63580 95369\n90134 100000\n84046 100000\n63806 95701\n6514 9784\n54017 81059\n25756 38637\n46955 70517\n41779 62745\n7350 11038\n22865 34324\n49922 74937\n15824 23689\n14020 20988\n20775 31177\n54183 81299\n17504 26255\n77818 100000\n65205 97806\n39564 59380\n55393 83097\n36002 54034\n1175 1749\n65853 98787\n74143 100000\n53389 80103\n12308 18430\n48967 73537\n3613 5438\n38905 58385\n42419 63719\n87847 100000\n46049 69138\n66669 99990\n39463 59230\n33555 50376\n65873 98817\n69959 100000\n78702 100000\n23039 34594\n61572 92371\n4886 7343\n5974 8977\n98223 100000\n91610 100000\n46290 69510\n27324 40998\n41009 61558\n90571 100000\n44059 66168\n1284 1905\n1469 2199\n44808 67278\n13282 19903\n88907 100000\n50211 75360\n1846 2774\n36706 55077\n87424 100000\n53921 80913\n8707 13041\n73643 100000\n16124 24146\n80725 100000\n69308 100000\n36153 54257\n76745 100000\n3660 5510\n26218 39333\n23442 35193\n32981 49512\n52475 78745\n50429 75684\n66193 99302\n41535 62369\n44074 66190\n4053 6111\n17658 26492\n87952 100000\n48140 72291\n26186 39283\n11622 17394\n21158 31751\n8047 12074\n69040 100000\n76568 100000\n95539 100000\n99270 100000\n77447 100000\n52818 79269\n25386 38098\n40131 60227\n10818 16187\n94325 100000\n82201 100000\n33979 51029\n37381 56098\n28759 43172\n43594 65472\n38025 57068\n97713 100000\n85189 100000\n5760 8662\n31707 47591\n1370 2043\n77886 100000\n25969 38949\n43318 65073\n90367 100000\n10921 16346\n55233 82860\n47386 71170\n34892 52387\n27064 40607\n30498 45793\n49352 74098\n61226 91843\n7572 11370\n10368 15500\n37500 56277\n58587 87925\n15968 23907\n96321 100000\n16622 24911\n32666 49043\n52903 79393\n19145 28728\n62010 93018\n98037 100000\n14978 22422\n67816 100000\n35530 53334\n82125 100000\n9256 13854\n47191 70879\n15285 22883\n1515 2268\n40107 60190\n65682 98525\n55151 82738\n37772 56689\n13446 20141\n14046 21023\n34373 51610\n39275 58945\n82667 100000\n757 1140\n49836 74814\n83777 100000\n46779 70260\n81438 100000\n7592 11399\n84402 100000\n94795 100000\n26457 39697\n38991 58521\n46478 69809\n70709 100000\n70898 100000\n93715 100000\n22646 34001\n25058 37622\n27654 41502\n17820 26739\n52926 79428\n14837 22210\n77438 100000\n21330 32012\n9461 14163\n52946 79457\n58382 87614\n7277 10928\n68114 100000\n3500 5270\n38924 58412\n20653 31000\n75921 100000\n38163 57272\n3953 5959\n14922 22334\n63287 94927\n79357 100000\n73603 100000\n75616 100000\n30295 45483\n45171 67827\n55825 83748\n39296 58976\n70473 100000\n96411 100000\n43672 65585\n60570 90872\n21415 32143\n88833 100000\n83496 100000\n74435 100000\n3911 5893\n2127 3186\n13008 19492\n20597 30924\n82913 100000\n98789 100000\n97863 100000\n93641 100000\n17840 26770\n31692 47569\n94073 100000\n29434 44183\n75011 100000\n31694 47572\n54264 81423\n39186 58811\n91142 100000\n11167 16716\n42447 63762\n13295 19922\n59743 89652\n35487 53268\n59522 89319\n48421 72715\n93706 100000\n8392 12578\n86273 100000\n57148 85735\n74928 100000\n72845 100000\n36216 54347\n78818 100000\n73243 100000\n72492 100000\n5182 7782\n57872 86823\n40448 60702\n72428 100000\n15177 22722\n14223 21297\n4282 6443\n41500 62319\n89411 100000\n99673 100000\n86488 100000\n96541 100000\n56644 84991\n20381 30584\n50164 75293\n17727 26597\n75356 100000\n98441 100000\n47371 71149\n9824 14696\n2171 3254\n78944 100000\n67372 100000\n91795 100000\n77108 100000\n86048 100000\n29057 43627\n36171 54282\n5561 8366\n57903 86869\n59661 89527\n76228 100000\n82542 100000\n75555 100000\n57512 86277\n50265 75443\n87004 100000\n25535 38310\n84752 100000\n37461 56221\n59223 88868\n47624 71528\n74693 100000\n34987 52525\n30538 45855\n29818 44749\n32424 48684\n227 345\n1165 1733\n86598 100000\n13957 20890\n99833 100000\n70514 100000\n15 22\n51185 76811\n90592 100000\n17673 26515\n6685 10038\n99553 100000\n49748 74683\n82875 100000\n51527 77323\n44765 67210\n66186 99290\n86875 100000\n61268 91909\n68489 100000\n35182 52814\n79795 100000\n87332 100000\n1696 2543\n26411 39630\n19647 29486\n7405 11126\n79923 100000\n13691 20491\n75411 100000\n1260 1872\n82279 100000\n5804 8725\n40757 61177\n37118 55698\n16264 24354\n64911 97366\n53722 80612\n45233 67919\n34866 52349\n84342 100000\n43675 65590\n36252 54404\n1423 2127\n1189 1771\n19778 29679\n14768 22105\n14471 21659\n19691 29549\n89477 100000\n1719 2580\n24828 37280\n66381 99577\n7577 11379\n32898 49389\n76488 100000\n56590 84906\n43962 66021\n48607 73003\n93328 100000\n68619 100000\n93166 100000\n7976 11968\n11629 17405\n24854 37314\n65321 97985\n18504 27766\n78103 100000\n10888 16299\n66783 100000\n63451 95169\n89686 100000\n93037 100000\n67527 100000\n71400 100000\n72787 100000\n34724 52134\n78727 100000\n89307 100000\n51960 77978\n41160 61795\n25268 37935\n95095 100000\n63797 95687\n99816 100000\n75337 100000\n71068 100000\n81764 100000\n57609 86422\n66773 100000\n70777 100000\n28177 42302\n93964 100000\n93199 100000\n3216 4839\n94072 100000\n87835 100000\n46690 70127\n48222 72407\n81841 100000\n33293 49981\n26414 39634\n99331 100000\n2534 3804\n52753 79171\n96885 100000\n19693 29553\n48057 72175\n50289 75479\n27022 40541\n56706 85080\n35689 53566\n80178 100000\n33639 50500\n88335 100000\n18282 27429\n64842 97262\n55526 83307\n55211 82826\n82611 100000\n19561 29359\n1167 1737\n5039 7572\n84428 100000\n39040 58592\n23494 35272\n43810 65792\n25293 37967\n71616 100000\n58862 88343\n80639 100000\n13939 20862\n19474 29226\n13971 20914\n58360 87580\n9487 14203\n65904 98861\n20838 31269\n81007 100000\n34565 51891\n77521 100000\n70672 100000\n83782 100000\n27312 40980\n58863 88344\n8042 12064\n47819 71819\n36040 54095\n76765 100000\n83786 100000\n22592 33929\n71669 100000\n27888 41861\n90479 100000\n43624 65514\n1184 1762\n16787 25151\n2846 4271\n7426 11156\n28359 42578\n85134 100000\n96982 100000\n85306 100000\n5164 7757\n65933 98906\n71107 100000\n94751 100000\n48136 72285\n47656 71575\n36546 54846\n27338 41019\n67399 100000\n24408 36641\n8650 12953\n35448 53215\n39116 58707\n43597 65476\n87311 100000\n64255 96380\n1101 1640\n65752 98631\n93882 100000\n46435 69744\n78737 100000\n66589 99877\n33215 49858\n52687 79068\n35947 53955\n75730 100000\n71271 100000\n34399 51650\n9088 13604\n85761 100000\n89966 100000\n10045 15014\n34890 52383\n65957 98944\n6746 10130\n50953 76468\n65383 98076\n82939 100000\n63718 95572\n42488 63822\n19949 29933\n71652 100000\n18825 28246\n71962 100000\n94801 100000\n65273 97909\n53185 79806\n27841 41787\n76559 100000\n57859 86801\n49487 74305\n87923 100000\n5850 8797\n10978 16433\n17846 26778\n94220 100000\n41236 61910\n56486 84750\n62215 93335\n68741 100000\n67998 100000\n98093 100000\n37938 56942\n51715 77612\n59167 88783\n55797 83708\n85315 100000\n22703 34085\n60945 91426\n80957 100000\n80183 100000\n14765 22101\n73268 100000\n77990 100000\n31629 47486\n76199 100000\n90065 100000\n53347 80040\n86350 100000\n36321 54508\n1793 2693\n14177 21226\n30916 46426\n96311 100000\n51331 77025\n35936 53939\n15327 22952\n79768 100000\n58093 87161\n30156 45270\n53367 80067\n3031 4557\n1583 2371\n64342 96517\n47037 70644\n62096 93153\n34247 51418\n82256 100000\n89171 100000\n84188 100000\n80225 100000\n5156 7746\n66102 99158\n79633 100000\n97033 100000\n51455 77214\n69530 100000\n86209 100000\n59014 88560\n69242 100000\n67313 100000\n65341 98017\n72763 100000\n79686 100000\n82664 100000\n62928 94402\n49520 74353\n9176 13737\n68288 100000\n54215 81349\n11212 16785\n14908 22315\n66715 100000\n48741 73201\n8598 12879\n57540 86318\n56191 84306\n62093 93149\n17975 26968\n93296 100000\n73962 100000\n43865 65875\n83999 100000\n33931 50955\n85512 100000\n20494 30765\n82908 100000\n88604 100000\n4077 6145\n9521 14254\n60005 90035\n60017 90055\n9545 14285\n68829 100000\n25847 38767\n68348 100000\n69644 100000\n81317 100000\n32443 48713\n90854 100000\n74852 100000\n71188 100000\n22341 33550\n14064 21047\n20903 31372\n88130 100000\n3616 5443\n59383 89112\n25444 38178\n74489 100000\n23899 35870\n26212 39325\n55829 83753\n78029 100000\n74509 100000\n85608 100000\n58888 88385\n97462 100000\n44384 66659\n55799 83710\n87360 100000\n49338 74078\n52025 78079\n76103 100000\n52084 78168\n71519 100000\n41315 62034\n57904 86870\n73503 100000\n25732 38597\n54690 82032\n53495 80274\n77009 100000\n26633 39956\n47635 71543\n38471 57725\n9930 14850\n34763 52194\n30160 45275\n174 267\n29162 43784\n32221 48376\n46390 69672\n88534 100000\n56723 85105\n25221 37865\n84529 100000\n93251 100000\n11751 17596\n41233 61906\n27128 40707\n6623 9941\n56383 84591\n41923 62958\n4742 7130\n52743 79152\n91226 100000\n78061 100000\n1056 1578\n40694 61082\n337 513\n57282 85929\n11326 16955\n86547 100000\n93255 100000\n83209 100000\n99191 100000\n2328 3496\n23762 35666\n25033 37584\n20000 30001\n86612 100000\n51453 77210\n45108 67735\n27862 41820\n13074 19591\n52274 78439\n26573 39867\n17699 26558\n50750 76164\n45034 67629\n22238 33404\n8831 13222\n44450 66753\n94104 100000\n17394 26090\n53001 79536\n2930 4409\n38522 57807\n92909 100000\n58289 87467\n59460 89227\n77216 100000\n8929 13368\n18974 28469\n22352 33565\n40923 61431\n44313 66554\n32890 49378\n46192 69357\n11644 17428\n89100 100000\n53114 79704\n66791 100000\n40522 60812\n68625 100000\n31648 47508\n86791 100000\n52794 79234\n12206 18277\n78490 100000\n33306 50000\n28863 43332\n57922 86897\n48462 72778\n82260 100000\n36741 55125\n57494 86252\n84454 100000\n71370 100000\n1118 1664\n76195 100000\n45333 68064\n69980 100000\n23715 35597\n55678 83529\n75023 100000\n16228 24298\n74631 100000\n73245 100000\n48552 72913\n63856 95774\n28303 42497\n27963 41975\n48774 73249\n4353 6555\n25360 38058\n96929 100000\n60753 91142\n35215 52868\n85302 100000\n57397 86104\n82203 100000\n59290 88971\n23063 34630\n10628 15898\n9412 14093\n91950 100000\n29325 44023\n13308 19942\n83826 100000\n48806 73296\n1344 1996\n54655 81980\n44123 66265\n94839 100000\n12422 18609\n18243 27374\n19383 29080\n22943 34445\n99680 100000\n62289 93448\n42428 63732\n7369 11069\n70749 100000\n62191 93300\n26317 39485\n12613 18900\n54056 81114\n51404 77136\n95334 100000\n82892 100000\n77776 100000\n3115 4683\n926 1392\n85571 100000\n46524 69878\n85600 100000\n18353 27537\n57819 86739\n82947 100000\n14117 21133\n78384 100000\n62039 93065\n94601 100000\n42364 63629\n53478 80247\n41765 62723\n13682 20477\n40765 61191\n8645 12947\n54513 81780\n50292 75484\n53783 80708\n87485 100000\n16760 25112\n12415 18598\n56460 84713\n30225 45378\n59115 88708\n17543 26313\n97571 100000\n97717 100000\n97017 100000\n57240 85870\n33670 50544\n81714 100000\n91477 100000\n84079 100000\n79806 100000\n814 1224\n76959 100000\n84240 100000\n54753 82130\n22728 34121\n69124 100000\n77563 100000\n68018 100000\n10876 16281\n61087 91635\n66197 99307\n63869 95796\n10870 16271\n97061 100000\n93167 100000\n78520 100000\n18507 27771\n47080 70711\n24302 36473\n26061 39093\n54668 81998\n42829 64339\n44234 66433\n70475 100000\n89038 100000\n1273 1889\n77539 100000\n44516 66850\n32649 49018\n48982 73560\n97716 100000\n34489 51777\n50165 75295\n75196 100000\n19303 28959\n76453 100000\n75852 100000\n11297 16911\n49681 74586\n33894 50898\n75107 100000\n82487 100000\n34902 52404\n47003 70589\n85522 100000\n18846 28281\n4323 6506\n96924 100000\n22701 34082\n81135 100000\n78715 100000\n90921 100000\n5449 8197\n58428 87682\n71189 100000\n57672 86516\n44467 66776\n866 1304\n9419 14104\n64570 96856\n73562 100000\n20355 30545\n10361 15489\n59083 88659\n69786 100000\n49364 74116\n55823 83745\n94505 100000\n40833 61293\n63435 95147\n34252 51427\n44043 66143\n53291 79955\n25192 37819\n17102 25635\n77925 100000\n57134 85716\n40557 60867\n1204 1790\n7908 11868\n98920 100000\n4660 7008\n62324 93499\n36847 55285\n55230 82856\n18319 27487\n4070 6136\n49103 73742\n86754 100000\n77511 100000\n34309 51515\n94508 100000\n48592 72980\n43618 65505\n65973 98969\n16695 25018\n70352 100000\n55540 83327\n77606 100000\n87097 100000\n15425 23101\n63061 94596\n93681 100000\n58305 87496\n32571 48896\n25408 38130\n93470 100000\n6660 10002\n86464 100000\n24165 36279\n26800 40211\n8461 12681\n99977 100000\n8693 13019\n8102 12150\n11063 16561\n56241 84376\n94391 100000\n95297 100000\n92072 100000\n53497 80276\n6114 9189\n6884 10338\n16385 24532\n21689 32565\n29262 43934\n68046 100000\n89400 100000\n18495 27754\n99462 100000\n62704 94075\n11547 17282\n44083 66204\n91193 100000\n26102 39147\n91694 100000\n58538 87849\n95100 100000\n92004 100000\n69215 100000\n49761 74703\n89461 100000\n84860 100000\n95394 100000\n50851 76317\n53322 80004\n4464 6714\n16565 24820\n61996 92996\n6108 9179\n13370 20037\n8087 12127\n79400 100000\n94150 100000\n38919 58406\n56634 84977\n67172 100000\n68069 100000\n38781 58206\n92911 100000\n13599 20362\n51393 77120\n30228 45382\n53219 79852\n55831 83756\n42051 63147\n74460 100000\n70392 100000\n27424 41149\n78819 100000\n11801 17674\n73431 100000\n5750 8648\n60120 90212\n57341 86017\n46024 69101\n19598 29414\n12209 18280\n26219 39335\n16041 24020\n97996 100000\n96658 100000\n23914 35894\n78135 100000\n21914 32920\n25531 38306\n72961 100000\n10552 15778\n77551 100000\n75787 100000\n86963 100000\n65966 98960\n7332 11013\n24900 37387\n65323 97988\n12906 19342\n68830 100000\n79473 100000\n51017 76562\n97464 100000\n88756 100000\n43714 65651\n419 637\n83189 100000\n14927 22342\n34756 52182\n9191 13759\n7532 11316\n24102 36188\n27431 41162\n39514 59305\n94720 100000\n65134 97698\n52019 78070\n44434 66731\n41198 61854\n33602 50443\n50554 75868\n43474 65295\n63221 94833\n8990 13454\n71911 100000\n71085 100000\n96786 100000\n21572 32375\n55410 83127\n19191 28794\n18505 27768\n34067 51167\n22004 33051\n75945 100000\n83151 100000\n13388 20061\n10487 15681\n55974 83975\n15294 22896\n21442 32181\n59432 89187\n1455 2176\n88933 100000\n38106 57189\n89462 100000\n89107 100000\n37693 56570\n66045 99071\n31279 46961\n88060 100000\n81999 100000\n30955 46484\n75553 100000\n5641 8488\n14152 21188\n359 545\n37689 56564\n23738 35630\n47013 70604\n36408 54638\n55381 83077\n99615 100000\n90304 100000\n85826 100000\n8245 12367\n34224 51387\n30396 45633\n62421 93646\n13559 20308\n15282 22877\n8444 12654\n37606 56446\n59289 88970\n81337 100000\n77577 100000\n221 335\n90792 100000\n96954 100000\n30868 46352\n74198 100000\n65348 98026\n4708 7079\n14604 21858\n91899 100000\n55858 83799\n60583 90892\n97082 100000\n99338 100000\n67669 100000\n24029 36077\n82172 100000\n4947 7436\n26953 40440\n31196 46839\n34361 51591\n73997 100000\n6836 10263\n42533 63887\n9736 14559\n23919 35902\n24189 36313\n18061 27095\n50247 75417\n49018 73617\n56910 85378\n21783 32712\n58249 87406\n80078 100000\n30140 45247\n7759 11653\n55437 83170\n74342 100000\n85154 100000\n96214 100000\n70019 100000\n29997 45024\n77224 100000\n8928 13367\n51881 77859\n67813 100000\n314 477\n54 80\n12491 18711\n23940 35933\n53473 80239\n55036 82551\n47901 71946\n42017 63100\n10052 15025\n75767 100000\n42341 63594\n9115 13644\n86805 100000\n92780 100000\n87303 100000\n94705 100000\n22975 34493\n38346 57540\n63090 94641\n43002 64597\n42799 64296\n54271 81433\n92598 100000\n40473 60738\n13412 20095\n72385 100000\n58832 88291\n27641 41481\n26841 40276\n67023 100000\n46432 69739\n53805 80738\n53048 79603\n72863 100000\n59705 89593\n51108 76700\n37469 56233\n42232 63420\n89309 100000\n34250 51424\n54723 82083\n57105 85676\n79521 100000\n21092 31654\n17787 26688\n49530 74369\n95689 100000\n96628 100000\n41748 62698\n1706 2560\n46729 70184\n93287 100000\n50748 76162\n63166 94755\n24957 37474\n32277 48463\n71509 100000\n19654 29497\n3760 5657\n78404 100000\n64617 96926\n5889 8855\n32482 48770\n85505 100000\n23334 35031\n19181 28781\n51943 77949\n31357 47081\n64504 96768\n32157 48280\n24188 36311\n98695 100000\n56726 85109\n6920 10391\n63502 95250\n94812 100000\n14118 21134\n810 1218\n45591 68452\n24317 36498\n30749 46173\n38390 57601\n48416 72709\n57641 86471\n48834 73336\n24030 36079\n66977 100000\n54159 81266\n49229 73927\n69364 100000\n80689 100000\n84680 100000\n28226 42379\n59494 89278\n22458 33721\n32826 49284\n85331 100000\n80230 100000\n54027 81074\n48287 72508\n64463 96709\n26665 40003\n52434 78681\n10166 15201\n35759 53670\n11282 16889\n3369 5070\n68212 100000\n55964 83958\n21757 32670\n96362 100000\n89941 100000\n60847 91280\n22186 33325\n1531 2292\n18289 27440\n83434 100000\n93978 100000\n93292 100000\n9581 14334\n3310 4978\n50309 75509\n60576 90881\n46487 69824\n60161 90272\n15171 22712\n77231 100000\n93836 100000\n87540 100000\n14994 22448\n8207 12314\n65225 97831\n56296 84455\n29082 43662\n7166 10757\n33616 50463\n88328 100000\n49798 74760\n3675 5533\n26544 39826\n60157 90265\n44843 67335\n19343 29019\n97502 100000\n19309 28967\n47735 71693\n62375 93579\n93939 100000\n3945 5944\n67784 100000\n14475 21665\n74958 100000\n65216 97818\n21278 31932\n74716 100000\n51489 77264\n6147 9237\n55330 83002\n57986 86991\n29950 44953\n31914 47916\n38766 58180\n10158 15190\n77923 100000\n32192 48329\n40594 60924\n98235 100000\n22462 33727\n84770 100000\n78097 100000\n13655 20438\n31191 46833\n80085 100000\n91933 100000\n21940 32956\n92836 100000\n37196 55816\n14830 22201\n33388 50121\n28952 43470\n81959 100000\n64236 96351\n68318 100000\n3532 5319\n19262 28898\n80261 100000\n40519 60807\n34351 51575\n31887 47876\n3579 5389\n17939 26923\n82475 100000\n37198 55820\n52030 78085\n20540 30835\n78340 100000\n2375 3566\n23682 35543\n25363 38063\n83788 100000\n19926 29898\n81825 100000\n65335 98007\n57359 86045\n9558 14301\n79964 100000\n1693 2538\n41712 62640\n1947 2916\n21552 32343\n7838 11769\n37154 55747\n95288 100000\n49237 73942\n27531 41322\n43393 65180\n5913 8889\n41879 62892\n66757 100000\n60912 91376\n73649 100000\n1525 2282\n29453 44211\n152 230\n7488 11249\n22112 33216\n19090 28642\n80565 100000\n82168 100000\n32566 48890\n97699 100000\n78153 100000\n53117 79709\n97785 100000\n68551 100000\n43294 65034\n99555 100000\n83569 100000\n8082 12120\n97753 100000\n23192 34821\n95672 100000\n99107 100000\n48318 72556\n98616 100000\n25133 37730\n12200 18269\n3679 5537\n83955 100000\n40170 60281\n32423 48683\n56912 85380\n33629 50483\n99277 100000\n71214 100000\n62133 93211\n96783 100000\n73296 100000\n69781 100000\n17111 25649\n10445 15618\n78341 100000\n68900 100000\n16630 24921\n20909 31382\n99695 100000\n87619 100000\n30999 46552\n60023 90066\n19297 28950\n83541 100000\n41405 62175\n64876 97312\n93442 100000\n36771 55169\n93205 100000\n13981 20927\n42163 63319\n41797 62772\n9389 14053\n31288 46973\n45940 68977\n41662 62562\n29335 44038\n14293 21394\n8743 13093\n38322 57504\n84959 100000\n34855 52331\n50395 75636\n91793 100000\n48690 73128\n77188 100000\n11143 16681\n13571 20325\n97790 100000\n92116 100000\n88053 100000\n13251 19855\n49925 74940\n13699 20503\n57826 86749\n23823 35759\n88918 100000\n6029 9054\n81533 100000\n69474 100000\n30517 45823\n58703 88106\n68336 100000\n9358 14011\n20371 30568\n8108 12159\n15720 23536\n69845 100000\n62069 93114\n51056 76623\n73158 100000\n53906 80890\n67412 100000\n32051 48124\n78925 100000\n30349 45562\n41908 62938\n69698 100000\n96879 100000\n92180 100000\n23752 35653\n5270 7922\n69496 100000\n39653 59512\n98818 100000\n51690 77576\n8197 12300\n18459 27703\n71807 100000\n39190 58817\n46898 70433\n29894 44868\n20442 30683\n27732 41623\n56680 85042\n62338 93520\n40627 60976\n12548 18803\n96319 100000\n14273 21366\n34729 52141\n64998 97496\n71238 100000\n98141 100000\n20501 30775\n20139 30214\n43335 65096\n37045 55593\n53742 80645\n8652 12956\n87857 100000\n82733 100000\n88151 100000\n23374 35090\n48301 72530\n7989 11987\n83770 100000\n30592 45936\n88230 100000\n2882 4329\n63557 95334\n59920 89913\n70785 100000\n29406 44141\n75092 100000\n83531 100000\n18804 28217\n98574 100000\n83812 100000\n65809 98716\n97573 100000\n51803 77747\n33904 50914\n78966 100000\n67133 100000\n6880 10332\n47378 71158\n68311 100000\n43280 65014\n73863 100000\n361 547\n75682 100000\n415 632\n17327 25992\n47677 71607\n95486 100000\n84359 100000\n6825 10244\n95099 100000\n79267 100000\n60531 90814\n62128 93201\n71514 100000\n67817 100000\n26705 40066\n83846 100000\n41549 62391\n44768 67215\n69044 100000\n20306 30472\n86242 100000\n85825 100000\n89689 100000\n19492 29255\n14114 21127\n71305 100000\n65304 97960\n45160 67812\n3618 5445\n68581 100000\n93134 100000\n65032 97544\n47868 71891\n40257 60414\n61509 92276\n70076 100000\n64791 97186\n5349 8037\n82394 100000\n38207 57333\n19428 29154\n23160 34775\n18118 27184\n55049 82571\n92256 100000\n48262 72466\n34228 51392\n49502 74329\n98903 100000\n80976 100000\n74345 100000\n1093 1628\n84444 100000\n60693 91054\n22130 33244\n62792 94200\n8010 12015\n6213 9331\n28642 43001\n49231 73931\n66962 100000\n18972 28466\n13351 20006\n25890 38825\n12410 18590\n97366 100000\n72879 100000\n1856 2788\n43782 65752\n58805 88252\n86245 100000\n82314 100000\n94297 100000\n10505 15709\n58990 88525\n57226 85851\n5093 7651\n88719 100000\n11605 17369\n55629 83462\n28322 42523\n41698 62618\n82406 100000\n82500 100000\n34002 51066\n76069 100000\n32768 49196\n95534 100000\n50732 76136\n54570 81861\n13967 20907\n80376 100000\n60932 91407\n97656 100000\n37600 56437\n80057 100000\n71932 100000\n76033 100000\n53073 79641\n38553 57854\n50249 75420\n83456 100000\n26402 39614\n80863 100000\n89249 100000\n67860 100000\n10410 15563\n22144 33263\n75542 100000\n59597 89428\n36405 54633\n17396 26092\n92122 100000\n21649 32506\n46876 70403\n58372 87596\n11980 17953\n66360 99543\n98609 100000\n78045 100000\n54681 82018\n26034 39050\n28304 42499\n23992 36020\n79004 100000\n5749 8646\n88362 100000\n39723 59620\n71855 100000\n64005 96008\n42159 63313\n62563 93867\n23956 35959\n7993 11991\n52313 78496\n52786 79223\n35686 53563\n81830 100000\n15730 23550\n16997 25479\n81330 100000\n21480 32238\n70454 100000\n36413 54643\n87900 100000\n98 152\n83314 100000\n7804 11719\n3565 5367\n27629 41463\n58944 88458\n26653 39983\n45002 67582\n21511 32285\n83185 100000\n70754 100000\n79693 100000\n54363 81566\n8985 13447\n75806 100000\n44145 66300\n88778 100000\n76669 100000\n69497 100000\n34900 52400\n74246 100000\n12143 18186\n41771 62732\n85876 100000\n63039 94561\n65939 98915\n40778 61212\n57433 86153\n20315 30485\n21418 32147\n61167 91756\n93917 100000\n70699 100000\n46057 69151\n71314 100000\n4437 6678\n9334 13975\n68293 100000\n12936 19384\n3801 5721\n57409 86119\n32427 48687\n72674 100000\n2941 4426\n46074 69177\n65622 98438\n54195 81318\n933 1403\n64391 96587\n72141 100000\n68000 100000\n44758 67199\n26330 39506\n89526 100000\n38109 57194\n21058 31601\n92097 100000\n69522 100000\n58663 88049\n94889 100000\n91412 100000\n14985 22435\n5438 8180\n51109 76702\n43617 65504\n4545 6835\n45476 68284\n75388 100000\n4737 7123\n41946 62991\n38624 57957\n554 835\n8471 12696\n35958 53969\n97471 100000\n90375 100000\n79437 100000\n87355 100000\n84414 100000\n39392 59127\n49044 73652\n56393 84605\n53415 80146\n48547 72906\n40538 60837\n34674 52058\n32410 48662\n56069 84120\n5711 8592\n8622 12912\n85246 100000\n96790 100000\n43459 65272\n16618 24906\n54348 81547\n21962 32989\n7213 10834\n32319 48527\n93477 100000\n74349 100000\n43581 65454\n24043 36098\n85364 100000\n38252 57397\n78596 100000\n42510 63854\n6958 10445\n72210 100000\n74602 100000\n94772 100000\n27476 41234\n20039 30060\n59107 88695\n20737 31119\n65399 98096\n51329 77022\n76871 100000\n64700 97050\n51837 77795\n89272 100000\n38099 57177\n55413 83132\n63100 94656\n11808 17686\n51254 76915\n92307 100000\n89408 100000\n51870 77843\n28909 43404\n28089 42169\n74062 100000\n85333 100000\n26135 39196\n64952 97432\n61204 91809\n46667 70094\n86684 100000\n86646 100000\n3306 4972\n23920 35903\n15133 22650\n26896 40354\n14214 21283\n30112 45199\n2432 3649\n13764 20598\n97369 100000\n12366 18521\n14901 22305\n95587 100000\n27204 40821\n7419 11144\n40949 61468\n83844 100000\n70697 100000\n64994 97491\n87037 100000\n85994 100000\n77226 100000\n55845 83776\n57218 85840\n38378 57582\n98744 100000\n1306 1937\n65372 98061\n79090 100000\n93606 100000\n13 19\n87985 100000\n74594 100000\n44762 67206\n55608 83429\n79926 100000\n34465 51744\n55103 82660\n49423 74205\n23574 35388\n94176 100000\n74204 100000\n4539 6827\n41720 62654\n87170 100000\n82070 100000\n15898 23802\n7752 11644\n21582 32392\n5259 7904\n80458 100000\n61586 92390\n31893 47883\n92444 100000\n18873 28317\n96743 100000\n56266 84413\n78510 100000\n73765 100000\n74158 100000\n35292 52981\n45481 68292\n78568 100000\n44180 66356\n83779 100000\n3786 5699\n94738 100000\n41917 62949\n92475 100000\n51325 77016\n99168 100000\n72398 100000\n19110 28671\n7081 10631\n24987 37522\n74504 100000\n9425 14113\n44172 66343\n2815 4226\n6965 10454\n73817 100000\n17721 26589\n12604 18886\n73801 100000\n43027 64635\n62343 93527\n53416 80147\n14987 22438\n83963 100000\n11668 17467\n49627 74510\n41463 62261\n60483 90746\n41371 62120\n93340 100000\n82690 100000\n25376 38081\n76188 100000\n11823 17708\n48434 72734\n81387 100000\n48468 72790\n72468 100000\n14487 21680\n26044 39065\n19439 29171\n37217 55852\n42153 63304\n79095 100000\n38823 58266\n26091 39133\n58346 87556\n29747 44651\n44118 66258\n4670 7022\n30213 45360\n91086 100000\n58936 88447\n74387 100000\n66808 100000\n7507 11279\n55468 83216\n52395 78623\n72840 100000\n39113 58702\n12591 18864\n79887 100000\n50307 75505\n66926 100000\n70086 100000\n31111 46721\n38284 57448\n86837 100000\n10733 16061\n58124 87214\n88483 100000\n50404 75648\n19335 29007\n7341 11026\n94994 100000\n48352 72605\n39324 59020\n60452 90700\n88647 100000\n18342 27519\n44277 66499\n29407 44142\n92294 100000\n5777 8686\n52510 78800\n30579 45917\n19060 28595\n51004 76543\n93392 100000\n20006 30011\n19757 29647\n96187 100000\n50839 76301\n75981 100000\n47075 70704\n45587 68446\n67349 100000\n86876 100000\n16564 24818\n53467 80228\n85350 100000\n26601 39910\n32860 49330\n80381 100000\n10099 15102\n51384 77105\n7047 10582\n29952 44956\n86483 100000\n36179 54294\n21367 32067\n65141 97710\n19344 29021\n7601 11412\n95483 100000\n13770 20607\n91182 100000\n11702 17523\n64098 96148\n26694 40050\n78507 100000\n31055 46636\n72261 100000\n75572 100000\n47151 70819\n94031 100000\n41910 62941\n18451 27691\n4012 6051\n45249 67941\n87240 100000\n43774 65739\n8236 12354\n72852 100000\n943 1419\n36390 54611\n70058 100000\n54404 81621\n98579 100000\n52002 78042\n49160 73833\n87371 100000\n45536 68373\n64585 96880\n99763 100000\n27790 41713\n72984 100000\n49388 74148\n30263 45437\n52309 78489\n51001 76540\n64040 96063\n85386 100000\n85473 100000\n55616 83441\n30677 46067\n40959 61480\n9372 14030\n61086 91633\n23584 35403\n8261 12389\n16896 25323\n11748 17591\n25744 38618\n39764 59683\n96678 100000\n76860 100000\n44493 66816\n35212 52864\n13402 20079\n53035 79584\n18028 27046\n17477 26215\n65526 98291\n52608 78944\n38203 57327\n22535 33841\n69556 100000\n86705 100000\n93270 100000\n79301 100000\n96763 100000\n96811 100000\n53239 79881\n58542 87856\n43337 65099\n51937 77939\n56743 85135\n91889 100000\n51475 77243\n54721 82081\n74171 100000\n76795 100000\n46655 70076\n63594 95389\n93558 100000\n63301 94948\n69079 100000\n90316 100000\n85404 100000\n20136 30210\n8684 13007\n1432 2140\n3220 4844\n88259 100000\n5809 8733\n25350 38043\n57499 86261\n68100 100000\n66604 99899\n16815 25199\n95614 100000\n60420 90654\n5818 8749\n12341 18484\n33757 50684\n35317 53019\n43224 64931\n43997 66076\n43093 64734\n5683 8551\n67499 100000\n14790 22138\n2133 3194\n2399 3600\n28193 42328\n40982 61515\n35218 52872\n28693 43078\n22109 33211\n73776 100000\n627 947\n96439 100000\n9607 14372\n98505 100000\n84229 100000\n40341 60544\n90355 100000\n10676 15972\n32891 49379\n69081 100000\n94874 100000\n66023 99039\n460 699\n49290 74014\n56319 84495\n74991 100000\n10974 16427\n48786 73269\n83839 100000\n9420 14106\n29938 44933\n81134 100000\n38103 57185\n74417 100000\n70895 100000\n77121 100000\n78981 100000\n55105 82663\n98846 100000\n49818 74791\n12871 19286\n26451 39689\n83281 100000\n10835 16217\n35273 52955\n29207 43855\n81798 100000\n73980 100000\n32983 49516\n58852 88325\n75248 100000\n21929 32941\n31860 47835\n21016 31535\n30017 45058\n23560 35367\n9550 14292\n34891 52385\n32895 49384\n60861 91299\n86991 100000\n93068 100000\n59487 89267\n60690 91049\n30701 46102\n35624 53481\n42203 63374\n21314 31989\n21436 32173\n89223 100000\n17012 25501\n36756 55148\n78769 100000\n40845 61316\n63735 95595\n80636 100000\n28832 43283\n5585 8403\n59948 89955\n32523 48827\n51106 76698\n61806 92711\n86124 100000\n67501 100000\n62937 94415\n83241 100000\n51565 77380\n68852 100000\n98161 100000\n67227 100000\n15178 22723\n74658 100000\n66545 99816\n55292 82946\n73853 100000\n2715 4079\n31484 47275\n22722 34110\n28601 42942\n3915 5898\n64902 97350\n71881 100000\n53945 80947\n2055 3077\n96930 100000\n73547 100000\n88201 100000\n10688 15994\n78717 100000\n11758 17607\n91434 100000\n26347 39530\n9467 14173\n88699 100000\n58644 88016\n69013 100000\n54692 82035\n8458 12677\n87754 100000\n59261 88926\n73802 100000\n7696 11561\n24062 36125\n57812 86729\n44780 67234\n94263 100000\n87811 100000\n82457 100000\n54639 81959\n86583 100000\n12472 18685\n98986 100000\n89914 100000\n55710 83579\n27219 40846\n66429 99646\n7583 11387\n39718 59611\n40480 60748\n70500 100000\n74707 100000\n37723 56613\n72548 100000\n72183 100000\n48833 73334\n1150 1712\n62032 93053\n20771 31171\n52425 78667\n84876 100000\n8385 12568\n12007 17992\n96342 100000\n22252 33429\n14615 21877\n12017 18008\n34117 51238\n76565 100000\n74283 100000\n61409 92120\n73556 100000\n59932 89933\n68535 100000\n88194 100000\n46204 69376\n54671 82002\n90311 100000\n74853 100000\n33821 50783\n6815 10230\n10403 15552\n74866 100000\n94347 100000\n79279 100000\n28376 42606\n62964 94452\n37518 56303\n60304 90475\n15165 22701\n18283 27430\n46726 70180\n17773 26669\n36829 55256\n44822 67301\n7266 10911\n837 1260\n28273 42453\n40394 60619\n49563 74419\n5111 7678\n19213 28825\n67945 100000\n14307 21414\n74436 100000\n64355 96537\n43495 65328\n39870 59842\n3338 5021\n71320 100000\n65145 97717\n90085 100000\n10798 16162\n53541 80342\n70941 100000\n12579 18847\n63607 95407\n9537 14277\n39484 59263\n95742 100000\n34682 52069\n67485 100000\n72649 100000\n60662 91008\n15163 22699\n56878 85327\n39364 59081\n26366 39560\n78970 100000\n98745 100000\n74437 100000\n19097 28652\n44348 66607\n78544 100000\n46767 70242\n52459 78721\n92571 100000\n78963 100000\n42617 64013\n76217 100000\n15658 23449\n31003 46558\n12058 18065\n58752 88178\n22591 33927\n76845 100000\n45337 68069\n79231 100000\n64843 97263\n21348 32038\n69618 100000\n27640 41480\n31260 46935\n73446 100000\n49695 74608\n62300 93463\n44212 66400\n16582 24848\n13207 19788\n16029 24000\n54959 82436\n79378 100000\n95815 100000\n46027 69105\n30224 45377\n1578 2363\n85336 100000\n41085 61675\n6346 9531\n61831 92751\n99255 100000\n76182 100000\n5871 8831\n99672 100000\n62743 94128\n91542 100000\n18215 27328\n59866 89827\n54743 82112\n16659 24964\n45218 67896\n39097 58676\n35542 53352\n64239 96356\n79950 100000\n63828 95733\n23245 34900\n25645 38474\n23649 35499\n54281 81449\n73413 100000\n40753 61170\n76275 100000\n32792 49233\n33038 49599\n62122 93191\n37545 56347\n18499 27759\n80480 100000\n52809 79256\n87997 100000\n73399 100000\n69745 100000\n50010 75063\n87232 100000\n49255 73969\n48278 72494\n69161 100000\n36149 54251\n96422 100000\n41713 62642\n11483 17185\n69093 100000\n92021 100000\n53477 80245\n27883 41853\n23947 35944\n58988 88521\n56902 85364\n64756 97134\n38539 57833\n10060 15040\n75390 100000\n4848 7281\n61913 92872\n32550 48866\n93675 100000\n84498 100000\n58064 87113\n34604 51946\n5467 8223\n52862 79334\n34976 52510\n80917 100000\n81104 100000\n71532 100000\n2594 3892\n55868 83811\n53339 80030\n89703 100000\n50509 75803\n89063 100000\n96431 100000\n46716 70165\n61995 92995\n8132 12193\n31195 46838\n3714 5592\n92427 100000\n32918 49419\n48074 72199\n90452 100000\n59438 89195\n31970 47999\n53202 79830\n73372 100000\n47320 71071\n31177 46815\n26009 39010\n19656 29499\n42716 64162\n5843 8785\n94730 100000\n11624 17397\n24681 37063\n74263 100000\n20461 30713\n17383 26074\n9531 14269\n17599 26397\n7531 11314\n54880 82317\n10397 15543\n32821 49277\n56649 84997\n20813 31234\n84913 100000\n70671 100000\n91346 100000\n54063 81123\n30036 45085\n74484 100000\n86181 100000\n80683 100000\n70213 100000\n52731 79131\n43040 64656\n15515 23239\n71802 100000\n62892 94348\n90925 100000\n73195 100000\n95814 100000\n86574 100000\n40777 61210\n10875 16280\n79818 100000\n83255 100000\n19251 28880\n98696 100000\n6340 9524\n45164 67817\n24872 37343\n51580 77404\n77527 100000\n60340 90530\n23317 35007\n2860 4291\n68010 100000\n96948 100000\n18036 27058\n63454 95174\n19420 29143\n66975 100000\n33355 50071\n22586 33918\n84344 100000\n14983 22432\n3226 4854\n25288 37962\n39882 59863\n366 554\n66149 99230\n81614 100000\n44968 67528\n55599 83416\n79019 100000\n34415 51672\n19479 29233\n57002 85524\n70913 100000\n26521 39790\n18092 27142\n51323 77014\n91441 100000\n95933 100000\n23064 34631\n51872 77847\n59671 89543\n92161 100000\n52792 79232\n82600 100000\n86863 100000\n84380 100000\n66011 99023\n464 704\n11855 17756\n53963 80974\n91879 100000\n79877 100000\n91915 100000\n72154 100000\n12281 18390\n79126 100000\n97615 100000\n21923 32933\n47811 71806\n23684 35547\n48254 72455\n20660 31009\n1665 2494\n22210 33359\n74971 100000\n81529 100000\n89942 100000\n37168 55773\n78589 100000\n76991 100000\n48221 72406\n98970 100000\n51731 77635\n66583 99869\n62735 94116\n97856 100000\n20231 30358\n78452 100000\n99376 100000\n15626 23400\n64737 97107\n18593 27904\n17332 26000\n76865 100000\n16337 24462\n19667 29516\n10940 16375\n44414 66703\n83958 100000\n43693 65619\n49858 74849\n87288 100000\n91789 100000\n70391 100000\n59123 88718\n67559 100000\n83349 100000\n70820 100000\n54863 82293\n19960 29950\n17490 26234\n57473 86215\n55830 83755\n49566 74422\n22195 33339\n92355 100000\n68153 100000\n45353 68096\n88965 100000\n10724 16047\n98708 100000\n2480 3720\n20226 30350\n6008 9023\n51609 77448\n81689 100000\n6887 10343\n83096 100000\n90610 100000\n52668 79038\n75501 100000\n49494 74315\n96343 100000\n29379 44100\n24069 36134\n76853 100000\n60590 90903\n25052 37612\n45253 67949\n33257 49927\n78113 100000\n51114 76708\n13582 20338\n60948 91429\n16464 24656\n15029 22500\n77570 100000\n67273 100000\n85851 100000\n76208 100000\n64206 96306\n25588 38389\n92616 100000\n14136 21164\n28639 42998\n43152 64824\n38130 57227\n14252 21335\n52841 79303\n74619 100000\n90245 100000\n25000 37538\n4915 7386\n16804 25179\n51859 77826\n50780 76214\n45176 67834\n84710 100000\n18445 27680\n54256 81413\n91088 100000\n76478 100000\n76761 100000\n67057 100000\n59926 89921\n19564 29365\n4647 6988\n49303 74029\n81077 100000\n48767 73239\n44452 66755\n68558 100000\n48428 72724\n32502 48799\n80907 100000\n98908 100000\n8740 13089\n96280 100000\n61793 92691\n57432 86152\n41643 62537\n69052 100000\n98152 100000\n89583 100000\n36548 54850\n43907 65939\n41452 62242\n71615 100000\n27785 41705\n79552 100000\n37397 56121\n38683 58050\n53210 79840\n37327 56015\n47004 70591\n48504 72847\n61443 92172\n67048 100000\n70808 100000\n80095 100000\n68530 100000\n93945 100000\n38547 57845\n80693 100000\n94060 100000\n69236 100000\n79343 100000\n5775 8683\n59112 88703\n79813 100000\n36318 54504\n64337 96510\n59694 89577\n86572 100000\n64982 97475\n95214 100000\n4996 7508\n20900 31367\n19814 29736\n10263 15345\n57292 85944\n29205 43852\n65181 97769\n36862 55308\n63273 94906\n92181 100000\n3343 5028\n2729 4100\n61737 92608\n56136 84219\n95634 100000\n91909 100000\n47226 70929\n35883 53859\n23912 35891\n74620 100000\n89004 100000\n51500 77280\n32144 48262\n81116 100000\n66584 99870\n29785 44702\n74034 100000\n89390 100000\n32589 48924\n34377 51616\n56944 85431\n95302 100000\n19737 29616\n4926 7403\n73176 100000\n63984 95974\n35784 53710\n77891 100000\n27935 41934\n42948 64516\n24008 36044\n23332 35029\n97224 100000\n48584 72966\n31683 47557\n246 374\n35323 53027\n28893 43379\n96191 100000\n85687 100000\n60599 90917\n67619 100000\n36018 54059\n54691 82033\n56997 85515\n4604 6924\n39956 59968\n57138 85721\n85966 100000\n21583 32394\n67675 100000\n32252 48425\n12270 18373\n32422 48681\n4271 6425\n48578 72955\n82979 100000\n69543 100000\n17205 25805\n49288 74012\n60329 90512\n22329 33533\n23365 35078\n44244 66451\n46528 69884\n28971 43499\n37887 56863\n59963 89976\n60931 91405\n45705 68622\n73439 100000\n60404 90631\n3274 4921\n38037 57083\n90068 100000\n10947 16385\n98973 100000\n57457 86192\n32795 49236\n14588 21837\n80904 100000\n30726 46137\n10202 15252\n34493 51782\n79086 100000\n88122 100000\n34450 51723\n76731 100000\n70613 100000\n90425 100000\n47367 71142\n35103 52696\n94643 100000\n97078 100000\n37246 55895\n27749 41647\n24762 37180\n75 114\n57680 86529\n24802 37238\n12380 18543\n62376 93580\n3317 4990\n85028 100000\n59113 88705\n11247 16836\n57554 86339\n89453 100000\n94858 100000\n93376 100000\n94986 100000\n95167 100000\n23260 34922\n97745 100000\n63126 94696\n79186 100000\n36345 54542\n18498 27758\n94237 100000\n93873 100000\n45674 68573\n58880 88370\n7017 10535\n12980 19450\n21616 32450\n99073 100000\n11636 17416\n97726 100000\n84085 100000\n77813 100000\n71575 100000\n53671 80534\n6677 10026\n96417 100000\n31632 47489\n35416 53165\n57894 86855\n60571 90873\n62261 93406\n16877 25294\n79244 100000\n51889 77870\n57195 85808\n40412 60647\n23031 34580\n15856 23739\n49703 74619\n34941 52459\n91113 100000\n41083 61672\n80713 100000\n60730 91109\n89692 100000\n37322 56008\n92975 100000\n94662 100000\n29650 44507\n68244 100000\n38715 58101\n28075 42148\n70096 100000\n54994 82490\n16275 24372\n20469 30726\n98368 100000\n29954 44959\n54455 81697\n42190 63355\n7334 11016\n16931 25377\n63215 94823\n21239 31871\n71001 100000\n28507 42799\n68666 100000\n18232 27354\n17785 26685\n63094 94646\n77461 100000\n5484 8252\n27900 41881\n93154 100000\n96021 100000\n64664 96997\n71715 100000\n5407 8128\n90374 100000\n44166 66334\n23844 35789\n12362 18516\n87538 100000\n97595 100000\n99362 100000\n37997 57029\n7844 11779\n9823 14695\n41387 62148\n89091 100000\n20147 30226\n20968 31466\n66643 99952\n31446 47216\n51364 77076\n22373 33593\n17392 26086\n34302 51503\n80591 100000\n3501 5271\n41361 62104\n88755 100000\n61863 92800\n75896 100000\n10550 15774\n10294 15393\n87809 100000\n99067 100000\n40855 61331\n16488 24691\n20472 30730\n15319 22939\n75216 100000\n20157 30242\n83917 100000\n41388 62149\n59648 89505\n59208 88847\n12391 18559\n97957 100000\n20280 30434\n68372 100000\n14444 21621\n42828 64337\n33472 50244\n11694 17510\n67438 100000\n17618 26428\n14083 21079\n14001 20955\n63989 95982\n46997 70578\n63356 95031\n40789 61226\n47848 71861\n73690 100000\n617 931\n3820 5749\n93604 100000\n36505 54784\n55291 82944\n22024 33081\n87041 100000\n53626 80470\n81464 100000\n23683 35545\n41170 61808\n43779 65746\n61106 91665\n34311 51518\n88256 100000\n24925 37425\n92669 100000\n59612 89450\n10951 16390\n64372 96558\n82819 100000\n81091 100000\n42950 64520\n34112 51233\n71478 100000\n49938 74958\n82387 100000\n34673 52056\n1567 2344\n61836 92758\n78690 100000\n63751 95617\n14824 22193\n16472 24666\n25485 38238\n69160 100000\n17980 26975\n80305 100000\n75667 100000\n71959 100000\n89497 100000\n91490 100000\n51428 77175\n90259 100000\n56621 84956\n11379 17031\n39657 59518\n64362 96544\n26183 39280\n40899 61398\n33035 49595\n91433 100000\n66624 99924\n36980 55494\n99571 100000\n91633 100000\n95647 100000\n93398 100000\n94737 100000\n476 720\n83645 100000\n45819 68791\n62674 94028\n207 316\n91700 100000\n85552 100000\n73427 100000\n61926 92892\n31312 47010\n64877 97314\n10286 15378\n91012 100000\n46787 70268\n27361 41054\n37860 56824\n89882 100000\n68106 100000\n68999 100000\n98356 100000\n14809 22168\n94977 100000\n24787 37217\n23148 34756\n83416 100000\n73139 100000\n65586 98378\n11410 17074\n56845 85280\n39748 59661\n20368 30564\n38077 57145\n79369 100000\n51078 76654\n4499 6766\n77255 100000\n69335 100000\n66578 99861\n87543 100000\n4406 6633\n51227 76871\n54591 81891\n66731 100000\n30210 45354\n20910 31383\n55832 83758\n47863 71883\n277 417\n50220 75372\n7611 11428\n92514 100000\n65337 98010\n81797 100000\n27941 41944\n41977 63037\n69071 100000\n67090 100000\n51951 77963\n36981 55495\n60765 91161\n11939 17890\n68506 100000\n55066 82600\n57559 86348\n73429 100000\n2536 3807\n59292 88975\n66443 99670\n26099 39142\n50138 75251\n29765 44672\n18615 27939\n98099 100000\n33474 50248\n52851 79319\n30348 45561\n47872 71896\n74142 100000\n40774 61205\n97194 100000\n33448 50206\n89958 100000\n97592 100000\n38058 57113\n60794 91201\n65839 98762\n92233 100000\n68229 100000\n49827 74804\n21165 31760\n61583 92385\n86044 100000\n36998 55525\n43761 65719\n78354 100000\n57008 85534\n98663 100000\n43788 65759\n86505 100000\n56068 84118\n25713 38568\n19991 29988\n21755 32667\n70825 100000\n95885 100000\n70548 100000\n29685 44556\n99634 100000\n46450 69766\n97275 100000\n24458 36720\n62999 94505\n50468 75737\n74276 100000\n52728 79127\n21122 31699\n27189 40795\n88928 100000\n17694 26548\n26568 39859\n42999 64593\n45992 69054\n72476 100000\n80316 100000\n2047 3066\n82721 100000\n39894 59883\n33998 51060\n85003 100000\n18896 28346\n57096 85665\n44874 67382\n82722 100000\n27141 40727\n83522 100000\n42204 63376\n37474 56240\n4871 7317\n77260 100000\n3939 5936\n17328 25994\n3612 5437\n12513 18750\n56061 84109\n50740 76150\n77305 100000\n17786 26687\n33129 49733\n57869 86819\n64696 97045\n55513 83285\n6970 10462\n25959 38929\n46474 69802\n25737 38607\n70796 100000\n51656 77525\n67364 100000\n43514 65353\n20694 31059\n97614 100000\n16186 24236\n79107 100000\n93923 100000\n22980 34500\n78734 100000\n9083 13596\n95175 100000\n4262 6412\n99929 100000\n77794 100000\n54851 82276\n97097 100000\n68477 100000\n49011 73605\n6641 9972\n99946 100000\n15520 23247\n87000 100000\n2317 3479\n95806 100000\n20316 30487\n63843 95754\n22606 33948\n69817 100000\n77623 100000\n3303 4967\n51485 77257\n23881 35843\n585 884\n47652 71570\n44732 67159\n70411 100000\n24089 36166\n87693 100000\n97813 100000\n37657 56515\n4990 7501\n81969 100000\n55854 83794\n44389 66668\n17502 26253\n4854 7290\n60451 90698\n42786 64275\n59919 89911\n66798 100000\n5096 7656\n39626 59471\n38020 57060\n2092 3135\n13934 20854\n93547 100000\n30248 45414\n34512 51812\n55591 83403\n96828 100000\n47930 71985\n94300 100000\n39951 59962\n54443 81678\n17368 26053\n68513 100000\n47866 71888\n37979 57003\n16624 24913\n55396 83102\n89476 100000\n56622 84958\n73931 100000\n8469 12693\n49277 73999\n76715 100000\n84732 100000\n87583 100000\n35612 53461\n29778 44689\n52708 79097\n31117 46729\n90776 100000\n13443 20137\n81564 100000\n42965 64545\n11400 17059\n64063 96098\n18634 27967\n57440 86163\n14986 22437\n77287 100000\n28498 42784\n39645 59500\n17177 25761\n22000 33045\n18202 27309\n31166 46800\n93590 100000\n16889 25314\n97982 100000\n58274 87447\n97880 100000\n17814 26729\n35937 53941\n51680 77560\n6799 10209\n24862 37327\n59390 89122\n38515 57795\n89781 100000\n45438 68223\n50651 76014\n1309 1941\n46772 70249\n30279 45461\n12681 18999\n67785 100000\n90793 100000\n34802 52253\n33644 50507\n17862 26803\n50941 76450\n35149 52765\n28308 42504\n45350 68092\n83155 100000\n10096 15098\n15939 23860\n13285 19907\n4450 6693\n69517 100000\n57412 86123\n33274 49952\n26119 39170\n89848 100000\n30119 45212\n96529 100000\n38 58\n14810 22169\n52532 78833\n51887 77867\n685 1037\n63272 94905\n34769 52202\n34177 51319\n7553 11346\n26295 39453\n85771 100000\n29253 43923\n85549 100000\n8286 12429\n35382 53114\n19619 29446\n65619 98432\n46722 70175\n16217 24283\n20131 30202\n9647 14426\n23470 35235\n95079 100000\n84540 100000\n27377 41082\n78333 100000\n41383 62140\n99820 100000\n11018 16495\n68835 100000\n67182 100000\n18594 27906\n54845 82268\n30227 45380\n21602 32427\n13470 20177\n22484 33764\n42134 63273\n12455 18658\n49400 74169\n73226 100000\n42435 63744\n25506 38268\n68585 100000\n88077 100000\n65634 98456\n90310 100000\n11440 17122\n35285 52972\n13422 20110\n73546 100000\n33578 50409\n45361 68108\n60014 90050\n52749 79164\n39900 59892\n8510 12750\n68851 100000\n89158 100000\n5432 8169\n39696 59579\n69084 100000\n67962 100000\n17126 25675\n64580 96871\n66457 99689\n79879 100000\n25867 38795\n58812 88264\n16558 24807\n69515 100000\n55181 82784\n52803 79248\n57050 85601\n44606 66982\n75212 100000\n18260 27395\n87640 100000\n58708 88113\n70832 100000\n54979 82470\n11837 17727\n65811 98719\n14216 21287\n50902 76396\n28884 43364\n91697 100000\n29018 43572\n14125 21146\n9983 14925\n49948 74971\n991 1483\n55395 83100\n58891 88390\n89047 100000\n47663 71585\n86578 100000\n32657 49029\n80172 100000\n55515 83287\n44886 67403\n57961 86955\n45569 68417\n14698 21999\n19662 29506\n1468 2197\n60003 90032\n66467 99703\n49099 73735\n20391 30600\n89278 100000\n20589 30911\n95211 100000\n16902 25332\n13369 20036\n35424 53176\n40213 60343\n76351 100000\n64156 96235\n87375 100000\n41245 61922\n11277 16882\n689 1043\n93687 100000\n5552 8353\n59620 89461\n43222 64928\n45405 68172\n71981 100000\n19884 29836\n69610 100000\n45088 67708\n68068 100000\n4880 7331\n79604 100000\n30166 45284\n48111 72250\n61044 91568\n97850 100000\n76186 100000\n39404 59142\n9091 13608\n50690 76066\n10020 14979\n88478 100000\n88613 100000\n54367 81572\n14598 21851\n91818 100000\n37424 56162\n97250 100000\n32947 49459\n17841 26771\n11577 17325\n97872 100000\n4502 6770\n25190 37816\n27220 40847\n52823 79275\n22797 34224\n54534 81812\n57550 86333\n37139 55726\n60581 90889\n36609 54939\n57305 85962\n86428 100000\n49458 74257\n95926 100000\n54661 81990\n81082 100000\n71548 100000\n44817 67292\n65655 98484\n7927 11895\n92237 100000\n67800 100000\n66979 100000\n91944 100000\n29292 43974\n50918 76416\n73916 100000\n20198 30305\n90492 100000\n32685 49070\n64701 97052\n75237 100000\n44980 67550\n31016 46576\n9321 13955\n44989 67563\n69589 100000\n85997 100000\n92701 100000\n50736 76143\n8117 12170\n94998 100000\n91173 100000\n25251 37912\n54196 81319\n88717 100000\n86611 100000\n52497 78780\n81067 100000\n37621 56468\n3129 4703\n59833 89783\n86320 100000\n94598 100000\n29342 44049\n49173 73851\n77735 100000\n33896 50901\n83319 100000\n91446 100000\n46598 69990\n39797 59728\n84005 100000\n91619 100000\n65930 98900\n97173 100000\n37137 55724\n79322 100000\n28666 43038\n82151 100000\n3122 4694\n52276 78442\n88084 100000\n99387 100000\n23847 35792\n49190 73873\n47203 70897\n44610 66988\n55075 82614\n60208 90341\n4527 6808\n57053 85606\n92756 100000\n37565 56379\n33863 50851\n57481 86228\n76135 100000\n88317 100000\n88575 100000\n53514 80304\n30650 46026\n75927 100000\n60653 90996\n74864 100000\n74695 100000\n77630 100000\n47445 71260\n44034 66128\n24405 36637\n64916 97374\n46999 70581\n68407 100000\n60642 90981\n72660 100000\n59329 89029\n3327 5004\n47913 71961\n47703 71646\n8383 12565\n7619 11442\n23001 34533\n76112 100000\n31069 46657\n5831 8766\n37636 56489\n17385 26077\n95613 100000\n95991 100000\n47306 71052\n74096 100000\n49031 73634\n189 290\n89630 100000\n99230 100000\n61890 92837\n17798 26704\n55016 82520\n35066 52644\n53418 80150\n28478 42754\n96965 100000\n731 1102\n68787 100000\n63679 95511\n1955 2929\n47453 71274\n77732 100000\n71533 100000\n88005 100000\n90762 100000\n4471 6726\n33239 49897\n63510 95261\n97067 100000\n76118 100000\n14231 21309\n58714 88123\n50286 75473\n28780 43202\n75489 100000\n38401 57620\n22682 34054\n22363 33580\n92046 100000\n89505 100000\n19112 28675\n47740 71702\n29391 44117\n91253 100000\n93682 100000\n50501 75790\n34101 51219\n12664 18975\n50104 75201\n30694 46093\n65244 97862\n28922 43424\n47611 71509\n42131 63267\n52600 78931\n7022 10544\n58195 87320\n81049 100000\n47799 71787\n31138 46760\n74732 100000\n68398 100000\n40785 61221\n77933 100000\n95003 100000\n59836 89789\n41263 61950\n42615 64009\n26106 39154\n77451 100000\n961 1440\n36662 55014\n87109 100000\n20880 31336\n90306 100000\n72681 100000\n33478 50255\n52780 79215\n95063 100000\n16921 25362\n72824 100000\n84525 100000\n90935 100000\n40846 61317\n39651 59509\n37242 55889\n32197 48339\n67772 100000\n31398 47141\n30845 46317\n63883 95816\n12958 19417\n16614 24899\n33594 50433\n38161 57268\n11196 16762\n32560 48881\n96294 100000\n75647 100000\n43764 65724\n236 359\n45259 67959\n39837 59789\n39429 59176\n45373 68124\n84100 100000\n22794 34219\n57805 86717\n77806 100000\n40872 61357\n68487 100000\n87926 100000\n41391 62152\n40810 61259\n2671 4009\n86716 100000\n31225 46884\n13075 19593\n99716 100000\n53170 79784\n13852 20728\n99004 100000\n96522 100000\n97422 100000\n76755 100000\n92168 100000\n34949 52470\n92843 100000\n11369 17018\n83556 100000\n25060 37624\n16863 25270\n23741 35634\n18326 27494\n88634 100000\n1500 2246\n83733 100000\n12670 18984\n5104 7668\n52829 79284\n58850 88321\n75957 100000\n41972 63029\n53832 80781\n54377 81586\n74454 100000\n22375 33597\n38333 57521\n27721 41605\n41612 62490\n24077 36148\n41490 62302\n72679 100000\n59979 89996\n87291 100000\n99601 100000\n37532 56326\n51326 77018\n5029 7555\n19236 28860\n99567 100000\n8732 13074\n25832 38747\n83334 100000\n87976 100000\n44286 66513\n7198 10810\n65693 98542\n45372 68123\n35639 53498\n18263 27400\n2132 3193\n26374 39572\n48762 73231\n20085 30131\n33209 49850\n39505 59293\n53419 80152\n1357 2021\n92390 100000\n39562 59377\n87434 100000\n47695 71636\n59737 89641\n42240 63433\n14206 21273\n13724 20536\n89349 100000\n85211 100000\n62110 93174\n54844 82266\n40197 60322\n82833 100000\n92705 100000\n21790 32724\n87379 100000\n54136 81233\n47054 70672\n46449 69765\n29641 44492\n35319 53022\n47765 71734\n72 110\n43420 65221\n94277 100000\n44504 66832\n50994 76531\n83370 100000\n10881 16287\n73854 100000\n27701 41577\n22659 34020\n38194 57317\n77463 100000\n55106 82665\n5785 8698\n37266 55926\n89817 100000\n1199 1784\n94944 100000\n47243 70957\n7302 10966\n46458 69777\n8640 12938\n80275 100000\n82491 100000\n27991 42020\n30217 45366\n75780 100000\n97917 100000\n88610 100000\n43443 65252\n61436 92160\n60490 90757\n41553 62398\n54595 81897\n73476 100000\n13144 19691\n63696 95538\n76721 100000\n22815 34250\n87343 100000\n33222 49870\n91871 100000\n80173 100000\n8869 13277\n74338 100000\n35597 53439\n57017 85549\n5817 8747\n46929 70481\n24417 36657\n33366 50086\n20418 30643\n75563 100000\n51832 77789\n3676 5534\n66810 100000\n93348 100000\n3975 5994\n47708 71653\n61792 92690\n35059 52633\n54810 82213\n72808 100000\n49729 74656\n51900 77887\n30875 46363\n42951 64522\n48185 72360\n88815 100000\n2525 3790\n19930 29904\n6923 10396\n56189 84302\n55519 83294\n25139 37740\n65950 98935\n43286 65023\n84050 100000\n62677 94032\n36234 54372\n26308 39471\n38140 57240\n20803 31218\n6733 10109\n54766 82150\n39889 59875\n29890 44863\n56082 84137\n83968 100000\n19318 28980\n35201 52846\n77863 100000\n6361 9552\n68546 100000\n44057 66164\n22820 34259\n28154 42268\n74205 100000\n77866 100000\n92409 100000\n70960 100000\n47048 70662\n48228 72415\n58056 87099\n4435 6674\n81269 100000\n45568 68416\n75558 100000\n30155 45269\n28439 42700\n48438 72740\n73272 100000\n50523 75819\n29566 44382\n55092 82642\n65488 98236\n11975 17946\n99053 100000\n89257 100000\n70124 100000\n37382 56100\n63419 95123\n71725 100000\n49505 74334\n65164 97745\n17210 25811\n68031 100000\n17779 26677\n31439 47207\n83876 100000\n89330 100000\n49680 74585\n19387 29086\n9849 14731\n12552 18809\n31958 47980\n10198 15245\n56670 85029\n44648 67041\n98964 100000\n40586 60911\n40295 60469\n7145 10724\n91894 100000\n50091 75180\n82090 100000\n24131 36231\n69630 100000\n19893 29849\n61363 92050\n24932 37437\n77855 100000\n74379 100000\n11569 17315\n63509 95260\n77309 100000\n55494 83257\n22389 33615\n53464 80222\n22111 33215\n88094 100000\n26505 39767\n65656 98485\n30846 46319\n81900 100000\n81912 100000\n43308 65058\n61736 92607\n48716 73166\n642 972\n30042 45094\n60900 91361\n24449 36705\n98788 100000\n34918 52426\n99521 100000\n16365 24504\n99936 100000\n30994 46544\n1408 2103\n50484 75763\n75590 100000\n95030 100000\n84775 100000\n21883 32870\n99667 100000\n10721 16042\n94340 100000\n12135 18177\n55942 83924\n56310 84480\n70619 100000\n99631 100000\n80782 100000\n46682 70116\n81273 100000\n64884 97324\n80161 100000\n95169 100000\n91387 100000\n19866 29811\n21216 31838\n20248 30382\n66133 99207\n15333 22962\n78085 100000\n38375 57577\n15099 22604\n61038 91560\n3985 6008\n23798 35721\n43328 65087\n77971 100000\n96701 100000\n66246 99376\n94710 100000\n26050 39075\n44953 67504\n45505 68325\n86511 100000\n18095 27146\n68433 100000\n4942 7428\n69390 100000\n42628 64029\n96878 100000\n60986 91484\n43713 65650\n40318 60504\n6095 9159\n91712 100000\n72251 100000\n58672 88062\n11749 17592\n44575 66934\n92876 100000\n89532 100000\n91135 100000\n85437 100000\n23166 34785\n50093 75183\n95453 100000\n30115 45204\n35191 52830\n79333 100000\n39240 58893\n52901 79391\n48342 72591\n93341 100000\n42375 63646\n14834 22207\n65610 98417\n50906 76401\n95451 100000\n88270 100000\n592 895\n58948 88463\n85665 100000\n19336 29008\n12538 18787\n98866 100000\n16466 24658\n97141 100000\n9534 14273\n68635 100000\n59575 89398\n87277 100000\n1648 2467\n47115 70764\n25923 38877\n98322 100000\n30000 45030\n77320 100000\n57164 85761\n17661 26496\n50006 75058\n37496 56272\n63794 95684\n39694 59575\n45392 68154\n16719 25049\n4870 7315\n98994 100000\n94855 100000\n95203 100000\n5589 8411\n27557 41361\n45102 67726\n10894 16311\n46312 69542\n18448 27686\n73512 100000\n31868 47847\n12855 19262\n39494 59277\n87855 100000\n86516 100000\n78335 100000\n29211 43860\n8733 13076\n28295 42484\n88698 100000\n18026 27043\n53265 79920\n83962 100000\n70755 100000\n53152 79761\n83920 100000\n80090 100000\n94109 100000\n72745 100000\n75776 100000\n80294 100000\n5722 8608\n18460 27705\n8713 13051\n14746 22074\n20241 30372\n70287 100000\n27936 41935\n18807 28222\n52767 79194\n6139 9225\n74016 100000\n90637 100000\n11197 16763\n85084 100000\n1888 2831\n97869 100000\n90023 100000\n32094 48188\n36336 54528\n3723 5603\n18224 27342\n23313 35001\n29037 43599\n36820 55243\n16193 24246\n53254 79902\n98932 100000\n1277 1894\n89417 100000\n84137 100000\n56423 84655\n60778 91181\n50045 75110\n42673 64097\n90945 100000\n5586 8405\n88289 100000\n34001 51064\n47049 70664\n82305 100000\n32654 49025\n16968 25435\n96623 100000\n99236 100000\n68653 100000\n59131 88730\n31849 47818\n30831 46293\n45548 68387\n16811 25193\n90135 100000\n26315 39483\n24425 36667\n51491 77267\n85634 100000\n25470 38215\n32002 48047\n71036 100000\n36203 54327\n87741 100000\n76537 100000\n92007 100000\n74488 100000\n96991 100000\n37547 56350\n4484 6746\n51391 77118\n88029 100000\n82868 100000\n67852 100000\n2944 4430\n57093 85661\n28924 43428\n32111 48214\n71467 100000\n24226 36365\n23400 35125\n44017 66105\n95574 100000\n44187 66368\n10463 15644\n77560 100000\n57163 85760\n93452 100000\n29372 44091\n42958 64534\n13791 20636\n69209 100000\n22364 33581\n64760 97141\n20001 30002\n47518 71368\n4923 7398\n80148 100000\n12046 18047\n75791 100000\n17063 25578\n59852 89810\n10170 15206\n37001 55530\n84377 100000\n27182 40785\n24745 37154\n8071 12105\n7920 11884\n7912 11874\n82992 100000\n75849 100000\n49526 74363\n88191 100000\n69486 100000\n87941 100000\n88381 100000\n86979 100000\n3333 5013\n69626 100000\n84689 100000\n93161 100000\n24614 36960\n56126 84203\n40542 60844\n9019 13497\n6191 9303\n64294 96444\n89586 100000\n34955 52480\n83498 100000\n1523 2279\n87854 100000\n9957 14893\n44908 67435\n99305 100000\n9066 13567\n19587 29399\n72773 100000\n76584 100000\n58540 87853\n17341 26011\n74175 100000\n5074 7626\n40214 60345\n59476 89251\n86514 100000\n65924 98892\n46225 69412\n37758 56666\n13672 20461\n32506 48804\n84701 100000\n17487 26228\n6779 10182\n52658 79022\n6867 10313\n84338 100000\n62672 94026\n12076 18088\n46516 69867\n12185 18248\n84468 100000\n81986 100000\n35040 52605\n84748 100000\n38427 57660\n80567 100000\n69699 100000\n26929 40403\n34542 51856\n91622 100000\n93181 100000\n69337 100000\n11562 17305\n2450 3675\n97647 100000\n33645 50509\n39698 59581\n30044 45097\n53766 80682\n37581 56407\n10744 16079\n16332 24456\n54592 81892\n46564 69941\n41838 62833\n63308 94959\n87416 100000\n1808 2713\n72499 100000\n74502 100000\n85423 100000\n31285 46970\n57996 87005\n29671 44534\n15639 23418\n52149 78263\n93473 100000\n73739 100000\n31838 47800\n91418 100000\n1222 1817\n46982 70556\n79897 100000\n70527 100000\n26830 40257\n77611 100000\n64405 96612\n86088 100000\n69839 100000\n454 689\n19623 29450\n13717 20527\n97721 100000\n33784 50723\n2123 3181\n38966 58480\n78549 100000\n61197 91799\n21403 32123\n7806 11722\n26145 39214\n75584 100000\n60379 90595\n23135 34736\n36701 55069\n61664 92501\n75459 100000\n10690 15997\n95937 100000\n83816 100000\n1601 2396\n68730 100000\n79172 100000\n45936 68971\n78830 100000\n95192 100000\n2713 4075\n19524 29306\n62345 93529\n79762 100000\n73309 100000\n93732 100000\n77929 100000\n52374 78589\n46614 70016\n5612 8448\n28317 42516\n4913 7384\n58388 87622\n4961 7457\n54149 81252\n39383 59113\n44782 67236\n42759 64233\n51942 77947\n40637 60991\n65807 98713\n25970 38950\n89398 100000\n58735 88153\n82573 100000\n12526 18769\n94813 100000\n56983 85492\n9673 14464\n92522 100000\n75515 100000\n33379 50107\n56727 85110\n32648 49017\n32407 48657\n70565 100000\n52722 79118\n87359 100000\n37827 56772\n47504 71347\n36624 54959\n74712 100000\n41456 62248\n23753 35654\n82058 100000\n90490 100000\n43620 65508\n75009 100000\n11489 17196\n69207 100000\n22932 34429\n20140 30215\n68882 100000\n10036 15003\n56970 85471\n88654 100000\n93630 100000\n73353 100000\n50934 76438\n28220 42370\n7960 11945\n70023 100000\n77151 100000\n44662 67061\n12271 18374\n41897 62921\n28332 42538\n29089 43672\n46248 69447\n20994 31504\n64116 96174\n26620 39938\n11623 17396\n61076 91617\n76976 100000\n69740 100000\n32777 49211\n11964 17930\n27466 41218\n20268 30416\n62028 93045\n33159 49777\n17546 26317\n76039 100000\n98992 100000\n44404 66689\n66451 99680\n12322 18452\n16556 24804\n36517 54803\n37896 56876\n7564 11360\n88109 100000\n98068 100000\n36534 54827\n50892 76379\n47134 70791\n60622 90950\n844 1272\n144 218\n1606 2404\n59058 88622\n45682 68587\n13279 19899\n31815 47766\n21503 32273\n32311 48515\n83302 100000\n92275 100000\n32539 48849\n24281 36440\n33668 50542\n22343 33553\n80888 100000\n96905 100000\n26728 40100\n23731 35620\n47174 70855\n16286 24389\n30066 45130\n35698 53578\n95832 100000\n27336 41016\n50689 76065\n42319 63557\n42853 64372\n74742 100000\n68749 100000\n34225 51388\n37764 56677\n14667 21954\n53618 80458\n68880 100000\n89559 100000\n75183 100000\n18530 27810\n89735 100000\n58765 88197\n30177 45303\n14297 21399\n60887 91341\n19238 28862\n14147 21180\n15923 23836\n45396 68160\n26265 39402\n69828 100000\n41493 62307\n91758 100000\n54144 81245\n9892 14797\n56386 84595\n60673 91025\n20648 30994\n54114 81200\n37392 56115\n71940 100000\n72439 100000\n63981 95970\n95142 100000\n28441 42703\n39359 59073\n70071 100000\n23013 34551\n9196 13766\n52442 78694\n48573 72948\n6735 10113\n77090 100000\n323 493\n39100 58680\n98913 100000\n14299 21403\n98413 100000\n71755 100000\n48400 72685\n4671 7023\n21241 31874\n16808 25187\n61002 91508\n80069 100000\n33336 50044\n76896 100000\n72628 100000\n8041 12063\n94838 100000\n85145 100000\n59728 89625\n74156 100000\n47182 70865\n22381 33605\n74257 100000\n80939 100000\n94602 100000\n94485 100000\n24466 36734\n79492 100000\n62318 93489\n19300 28954\n56995 85512\n91838 100000\n14881 22275\n25053 37613\n36948 55444\n36572 54883\n839 1264\n96371 100000\n49594 74461\n21154 31744\n20378 30579\n16308 24422\n40364 60580\n62825 94252\n55032 82544\n47086 70719\n47233 70940\n16437 24614\n81430 100000\n82564 100000\n25339 38030\n42219 63401\n91312 100000\n99770 100000\n7305 10970\n38648 57994\n69317 100000\n54544 81825\n30827 46287\n15583 23342\n36822 55246\n40818 61268\n7849 11785\n74141 100000\n46046 69133\n2752 4135\n13809 20663\n58642 88013\n93268 100000\n10386 15527\n32263 48443\n29820 44752\n81037 100000\n46975 70544\n75636 100000\n34183 51329\n91105 100000\n68020 100000\n32596 48935\n13960 20895\n77165 100000\n73068 100000\n33723 50629\n85648 100000\n59960 89973\n23137 34740\n32166 48292\n91573 100000\n22517 33814\n6333 9514\n15281 22876\n39788 59717\n59635 89484\n75991 100000\n94069 100000\n56772 85171\n37481 56249\n84902 100000\n24639 36997\n98564 100000\n69367 100000\n47335 71093\n45833 68812\n44535 66880\n38070 57132\n31858 47831\n20434 30669\n30151 45264\n1752 2630\n43800 65778\n84760 100000\n34564 51889\n94827 100000\n35926 53924\n42096 63215\n75034 100000\n40977 61507\n36122 54213\n63677 95508\n15888 23786\n43048 64669\n18874 28318\n30727 46138\n51852 77818\n88948 100000\n32827 49286\n34452 51726\n54465 81713\n4117 6203\n47109 70753\n56575 84884\n75057 100000\n87896 100000\n37480 56247\n76672 100000\n29510 44293\n63240 94860\n38562 57868\n24697 37085\n79735 100000\n67012 100000\n79055 100000\n35132 52738\n77952 100000\n11774 17628\n27989 42016\n90546 100000\n44754 67194\n93013 100000\n32401 48647\n56584 84896\n47464 71289\n13212 19796\n3809 5733\n75770 100000\n72065 100000\n52778 79212\n71198 100000\n18653 27992\n53472 80237\n92401 100000\n7450 11195\n38976 58496\n97391 100000\n21267 31914\n2481 3721\n82481 100000\n27715 41596\n71985 100000\n45106 67732\n95067 100000\n5116 7685\n56518 84797\n96353 100000\n89553 100000\n36230 54365\n80736 100000\n37042 55589\n52323 78512\n31688 47565\n41072 61656\n60594 90908\n41936 62976\n54340 81538\n87248 100000\n31896 47888\n76589 100000\n14958 22391\n31247 46915\n11514 17231\n35632 53490\n57031 85573\n14356 21489\n77936 100000\n84753 100000\n43338 65100\n98671 100000\n35601 53445\n55132 82708\n60561 90859\n30185 45317\n84270 100000\n47781 71757\n58856 88332\n84692 100000\n91367 100000\n64131 96196\n18732 28113\n3399 5116\n54984 82476\n41536 62370\n73521 100000\n98312 100000\n80467 100000\n38275 57435\n31431 47194\n38399 57617\n37553 56361\n74369 100000\n14237 21315\n10838 16223\n32849 49316\n13611 20377\n45379 68133\n48560 72928\n29583 44407\n80806 100000\n47994 72080\n27550 41349\n16245 24324\n59446 89207\n53383 80092\n81346 100000\n85325 100000\n56013 84032\n46345 69595\n22619 33968\n97131 100000\n2629 3951\n85266 100000\n20583 30901\n49894 74900\n37361 56068\n51088 76669\n60875 91321\n95505 100000\n9062 13561\n1139 1696\n28527 42830\n25367 38068\n99220 100000\n57429 86149\n16092 24099\n49412 74188\n74650 100000\n85765 100000\n64688 97033\n15439 23126\n2457 3687\n21737 32639\n99451 100000\n46923 70471\n48579 72956\n17219 25825\n93308 100000\n56775 85175\n43586 65464\n15243 22821\n65297 97949\n48913 73456\n58564 87890\n10513 15720\n29897 44874\n84842 100000\n28305 42501\n62365 93563\n95403 100000\n84878 100000\n84198 100000\n29311 44001\n45592 68453\n82662 100000\n95229 100000\n36419 54654\n93337 100000\n3730 5613\n21607 32434\n17884 26834\n36628 54965\n63495 95240\n86146 100000\n51211 76850\n60450 90696\n85048 100000\n8911 13343\n44641 67030\n13161 19719\n699 1059\n14455 21637\n32022 48079\n4523 6802\n31127 46744\n48969 73540\n71878 100000\n5609 8444\n8028 12043\n53760 80672\n9745 14575\n80038 100000\n39341 59044\n14928 22344\n2845 4270\n82332 100000\n99880 100000\n60234 90377\n64385 96579\n16932 25378\n49783 74735\n68056 100000\n92388 100000\n48261 72465\n79789 100000\n50529 75828\n52078 78158\n7974 11964\n87769 100000\n16211 24275\n83957 100000\n17303 25954\n23986 36009\n92523 100000\n78978 100000\n56119 84194\n50368 75599\n45820 68792\n18154 27238\n25210 37848\n28393 42630\n71138 100000\n31362 47088\n33451 50211\n21499 32268\n16366 24506\n49799 74761\n97101 100000\n71614 100000\n51237 76886\n90628 100000\n71090 100000\n13281 19902\n17799 26706\n79848 100000\n68582 100000\n61853 92785\n78032 100000\n1882 2823\n85110 100000\n9617 14384\n20580 30896\n38355 57551\n55658 83505\n91942 100000\n43233 64945\n83480 100000\n33368 50088\n3949 5952\n5437 8178\n28268 42445\n59512 89305\n67521 100000\n32570 48895\n80125 100000\n33361 50079\n85849 100000\n14467 21654\n12153 18201\n73307 100000\n66092 99141\n10292 15390\n21676 32545\n64111 96167\n61182 91778\n23464 35226\n83128 100000\n27693 41564\n68155 100000\n76187 100000\n63006 94515\n34577 51909\n43535 65382\n88976 100000\n65852 98785\n66759 100000\n17276 25916\n48944 73506\n65231 97839\n87709 100000\n11499 17212\n89191 100000\n12917 19356\n10362 15491\n7889 11845\n41135 61758\n93000 100000\n25852 38774\n64802 97201\n20863 31309\n14706 22012\n47892 71931\n4097 6174\n82769 100000\n91896 100000\n45058 67666\n66685 100000\n96373 100000\n50329 75542\n14025 20996\n69423 100000\n52677 79051\n41408 62179\n72015 100000\n2529 3796\n64377 96566\n68400 100000\n7866 11808\n1341 1991\n95685 100000\n77358 100000\n76311 100000\n86739 100000\n13783 20623\n53875 80840\n22223 33379\n96531 100000\n67581 100000\n32544 48855\n8302 12451\n89075 100000\n69814 100000\n64178 96265\n25939 38902\n97420 100000\n13183 19753\n32942 49452\n70386 100000\n66496 99742\n61428 92147\n86721 100000\n94156 100000\n13916 20827\n93674 100000\n52258 78416\n38124 57218\n2520 3781\n72164 100000\n62302 93465\n8901 13328\n60172 90289\n67321 100000\n79289 100000\n62190 93298\n55784 83690\n24348 36549\n74517 100000\n76010 100000\n49976 75013\n59401 89140\n73293 100000\n22508 33800\n25576 38372\n68191 100000\n67190 100000\n52307 78485\n85070 100000\n6981 10477\n40891 61389\n52298 78472\n12865 19277\n63631 95441\n27390 41100\n8155 12231\n36542 54840\n52625 78973\n39345 59050\n62793 94201\n67991 100000\n36656 55006\n95286 100000\n17663 26500\n58411 87656\n66151 99233\n82295 100000\n4666 7015\n45877 68882\n32926 49431\n79976 100000\n97538 100000\n56405 84624\n78764 100000\n67532 100000\n88308 100000\n78648 100000\n27584 41399\n64193 96289\n63068 94606\n41823 62811\n84049 100000\n99234 100000\n84943 100000\n23145 34753\n1903 2853\n91699 100000\n59349 89060\n87123 100000\n92602 100000\n83979 100000\n29776 44686\n25236 37889\n32152 48272\n54221 81359\n57293 85946\n89982 100000\n86220 100000\n25252 37913\n64147 96222\n65022 97531\n6556 9845\n98942 100000\n1875 2813\n4354 6556\n70970 100000\n17160 25733\n15967 23905\n57456 86190\n90067 100000\n57992 86999\n52188 78314\n25093 37671\n83576 100000\n44519 66854\n71794 100000\n90646 100000\n76892 100000\n81453 100000\n36045 54102\n44595 66965\n37870 56837\n71483 100000\n54048 81102\n57071 85631\n13949 20878\n91480 100000\n71922 100000\n76074 100000\n80796 100000\n68151 100000\n37563 56376\n46568 69949\n99286 100000\n28501 42790\n78548 100000\n87334 100000\n72631 100000\n16249 24328\n51300 76979\n51879 77857\n51510 77295\n99345 100000\n18273 27416\n54347 81546\n67504 100000\n24744 37152\n89878 100000\n33852 50833\n656 997\n76979 100000\n72545 100000\n80239 100000\n39195 58824\n78752 100000\n30118 45210\n47835 71843\n29003 43547\n63726 95583\n72372 100000\n3413 5140\n10684 15986\n57261 85897\n49875 74875\n83234 100000\n42321 63560\n88619 100000\n32894 49383\n54771 82157\n52956 79472\n26672 40015\n51502 77283\n30708 46113\n12629 18922\n4360 6566\n83980 100000\n67124 100000\n14515 21725\n60163 90274\n15141 22665\n82156 100000\n92474 100000\n64817 97222\n8423 12624\n11528 17254\n81019 100000\n57613 86429\n37144 55733\n1562 2336\n53038 79589\n76591 100000\n3019 4540\n13286 19909\n59655 89517\n11665 17463\n21939 32955\n58685 88082\n91448 100000\n94900 100000\n17783 26682\n12567 18831\n5895 8863\n11960 17924\n33119 49716\n29190 43828\n62178 93280\n13673 20463\n52519 78814\n80758 100000\n47654 71573\n58716 88127\n20037 30056\n73563 100000\n34924 52434\n90042 100000\n7284 10939\n21775 32698\n21169 31766\n62777 94178\n5274 7927\n23745 35641\n26868 40316\n517 779\n26230 39348\n51821 77774\n24580 36910\n55101 82658\n82856 100000\n56234 84366\n11454 17143\n12506 18738\n33394 50130\n1942 2910\n21170 31767\n17480 26219\n43004 64600\n14384 21529\n18698 28062\n86655 100000\n42318 63555\n4596 6914\n29811 44737\n80663 100000\n9078 13587\n79547 100000\n1667 2498\n71142 100000\n32628 48989\n45652 68541\n19565 29366\n85759 100000\n10438 15608\n32296 48490\n57712 86577\n43299 65041\n91225 100000\n46877 70404\n19562 29361\n13294 19920\n93240 100000\n8671 12987\n2495 3742\n79139 100000\n97421 100000\n5403 8122\n591 894\n81750 100000\n48527 72876\n95273 100000\n48034 72143\n39898 59889\n24672 37050\n23294 34969\n84382 100000\n8202 12307\n84452 100000\n67389 100000\n42127 63262\n53448 80194\n43379 65159\n25943 38907\n11311 16933\n8665 12977\n55822 83743\n27822 41760\n72823 100000\n66557 99832\n72328 100000\n29428 44173\n40646 61002\n58175 87289\n78795 100000\n88953 100000\n13240 19839\n79891 100000\n29400 44132\n24153 36263\n83942 100000\n91018 100000\n71956 100000\n52882 79364\n34201 51355\n663 1005\n48095 72226\n80327 100000\n66265 99404\n28577 42904\n91025 100000\n39098 58677\n21942 32958\n21717 32605\n44557 66909\n34301 51501\n77107 100000\n20871 31322\n38572 57884\n35165 52791\n6040 9071\n13014 19503\n16756 25106\n26419 39641\n25696 38543\n51175 76794\n43966 66027\n72094 100000\n58156 87260\n66159 99244\n90758 100000\n85352 100000\n88771 100000\n79227 100000\n1451 2170\n12827 19221\n78654 100000\n8107 12157\n90032 100000\n56739 85128\n84218 100000\n15146 22672\n30661 46043\n52964 79483\n33687 50572\n93300 100000\n71281 100000\n56638 84982\n54210 81342\n88761 100000\n11388 17043\n19764 29656\n76196 100000\n31071 46661\n53711 80594\n52440 78691\n1836 2759\n45323 68047\n70512 100000\n78997 100000\n7470 11223\n42180 63340\n85753 100000\n5566 8373\n41518 62342\n68784 100000\n69785 100000\n3531 5317\n3989 6014\n18771 28167\n62245 93378\n9466 14172\n15502 23223\n53069 79636\n53249 79895\n83817 100000\n92590 100000\n81588 100000\n6576 9876\n22025 33083\n44790 67247\n89934 100000\n89397 100000\n91131 100000\n78758 100000\n94509 100000\n16994 25474\n58710 88117\n30142 45250\n8627 12920\n88839 100000\n92729 100000\n7172 10766\n81902 100000\n55994 84004\n71748 100000\n80792 100000\n59730 89628\n88156 100000\n11010 16482\n873 1313\n56304 84469\n57715 86582\n5331 8013\n25757 38639\n15049 22528\n3592 5407\n54653 81978\n88709 100000\n75906 100000\n15336 22965\n53941 80943\n36261 54416\n95873 100000\n95794 100000\n60437 90679\n65424 98137\n52878 79358\n3593 5408\n10914 16336\n31233 46894\n95421 100000\n15104 22613\n72001 100000\n46593 69982\n51042 76602\n44531 66873\n76719 100000\n23108 34698\n95408 100000\n96130 100000\n78324 100000\n86063 100000\n54090 81163\n41036 61601\n82863 100000\n87245 100000\n41002 61549\n40725 61129\n82324 100000\n98288 100000\n47858 71876\n17148 25711\n48665 73088\n94043 100000\n85348 100000\n63020 94534\n17943 26927\n44585 66948\n94260 100000\n30249 45415\n75246 100000\n66290 99439\n45755 68699\n64776 97164\n9582 14336\n60796 91204\n7384 11092\n89801 100000\n16575 24836\n41858 62860\n3677 5535\n71255 100000\n68682 100000\n29188 43825\n99447 100000\n55165 82760\n98193 100000\n38724 58115\n59857 89816\n958 1436\n76708 100000\n15610 23380\n71736 100000\n41114 61724\n45313 68034\n68838 100000\n54394 81609\n59968 89982\n87812 100000\n20504 30781\n79512 100000\n67555 100000\n39357 59070\n54150 81253\n75075 100000\n98167 100000\n43595 65473\n14162 21201\n18463 27709\n60831 91258\n33825 50789\n98404 100000\n98282 100000\n45866 68865\n31975 48009\n95184 100000\n63333 94996\n10594 15845\n6244 9376\n12256 18351\n19776 29677\n7226 10856\n65936 98911\n82755 100000\n93643 100000\n37854 56815\n87912 100000\n22457 33719\n44352 66613\n44297 66529\n42497 63835\n19456 29197\n23555 35360\n25544 38321\n47472 71300\n97525 100000\n9414 14097\n86370 100000\n5420 8147\n70725 100000\n34544 51858\n17959 26947\n58884 88378\n77234 100000\n61576 92376\n70015 100000\n68601 100000\n3209 4829\n60651 90993\n84660 100000\n72571 100000\n1655 2479\n65308 97967\n42389 63670\n40186 60308\n7755 11648\n41601 62472\n38791 58221\n426 649\n65092 97635\n58417 87664\n30685 46079\n94434 100000\n66670 99992\n25613 38424\n66500 99749\n58432 87688\n83134 100000\n47853 71869\n26660 39994\n37459 56217\n18985 28486\n5556 8359\n18636 27969\n38719 58107\n10063 15045\n93035 100000\n47056 70675\n76599 100000\n87925 100000\n12517 18756\n93696 100000\n50472 75745\n72073 100000\n86589 100000\n13959 20893\n41796 62770\n97512 100000\n74253 100000\n22255 33433\n33725 50633\n55639 83478\n700 1060\n15401 23066\n66959 100000\n4311 6488\n82774 100000\n81460 100000\n87801 100000\n22698 34078\n45841 68826\n18020 27032\n12843 19242\n36508 54788\n73860 100000\n37698 56579\n64212 96316\n55817 83734\n89317 100000\n59598 89430\n96387 100000\n22965 34478\n92351 100000\n29947 44949\n7089 10643\n48986 73567\n79201 100000\n37514 56298\n93063 100000\n68949 100000\n57083 85646\n93573 100000\n15217 22782\n24284 36445\n89396 100000\n20181 30278\n79420 100000\n57798 86706\n66044 99069\n72829 100000\n11375 17025\n37093 55662\n22140 33258\n11003 16472\n2919 4390\n67639 100000\n29027 43584\n23576 35391\n47456 71277\n20678 31039\n93515 100000\n53439 80183\n48572 72947\n17338 26006\n3966 5979\n39081 58654\n52161 78280\n47658 71578\n9795 14652\n98976 100000\n23896 35866\n95610 100000\n67651 100000\n79736 100000\n38073 57137\n23086 34661\n31170 46805\n14477 21667\n13729 20544\n44550 66902\n95931 100000\n54205 81333\n7785 11690\n20970 31470\n13779 20617\n51605 77441\n80272 100000\n90257 100000\n21307 31978\n2456 3685\n85318 100000\n86339 100000\n49871 74870\n29812 44739\n67469 100000\n54799 82198\n45136 67776\n78886 100000\n22296 33489\n4186 6301\n26208 39319\n51899 77885\n28435 42695\n71429 100000\n83404 100000\n24704 37095\n89852 100000\n88942 100000\n9387 14050\n25026 37576\n19102 28660\n3510 5285\n54425 81650\n21507 32279\n4122 6210\n19807 29724\n39627 59473\n98808 100000\n39804 59740\n54505 81769\n95332 100000\n49488 74306\n41401 62168\n57288 85937\n18853 28289\n87617 100000\n61190 91790\n68664 100000\n93405 100000\n94995 100000\n16930 25376\n12836 19233\n14577 21821\n66444 99672\n28954 43473\n76741 100000\n20073 30113\n20463 30716\n33944 50974\n330 504\n50627 75976\n35426 53180\n20096 30147\n76646 100000\n34413 51668\n51922 77917\n49149 73814\n60776 91178\n61972 92959\n55920 83891\n4725 7103\n64606 96911\n85087 100000\n64650 96976\n15017 22485\n74251 100000\n68226 100000\n67150 100000\n81964 100000\n12508 18741\n86694 100000\n90455 100000\n41038 61604\n96286 100000\n1533 2295\n71221 100000\n96394 100000\n18990 28494\n81549 100000\n4620 6949\n10882 16288\n92012 100000\n14757 22091\n26674 40019\n3527 5310\n48210 72392\n21922 32931\n33391 50126\n83738 100000\n61410 92122\n42441 63752\n35326 53032\n19970 29964\n26168 39254\n31202 46847\n74014 100000\n70413 100000\n73715 100000\n11144 16682\n16925 25367\n56495 84765\n70419 100000\n32494 48789\n89992 100000\n75257 100000\n51319 77007\n4637 6973\n51930 77930\n21600 32423\n45246 67936\n58222 87366\n85625 100000\n20756 31147\n48384 72657\n35105 52699\n23391 35113\n46393 69677\n35131 52737\n20105 30163\n73040 100000\n28859 43327\n85798 100000\n24021 36066\n59490 89272\n71333 100000\n75495 100000\n70075 100000\n12285 18395\n97642 100000\n243 368\n33636 50495\n93364 100000\n79337 100000\n41906 62935\n20222 30344\n57620 86442\n47578 71458\n50959 76477\n32598 48939\n74833 100000\n16279 24378\n10068 15054\n85282 100000\n80905 100000\n30012 45051\n36963 55466\n15846 23723\n21554 32345\n15648 23432\n24142 36245\n11764 17614\n20189 30291\n29777 44688\n76961 100000\n95037 100000\n30289 45476\n99363 100000\n23988 36013\n50720 76114\n44853 67351\n92241 100000\n93064 100000\n37634 56486\n31087 46686\n64242 96359\n87088 100000\n74005 100000\n94952 100000\n17686 26534\n50039 75103\n91214 100000\n20513 30795\n849 1280\n67256 100000\n48018 72117\n85823 100000\n79516 100000\n63768 95643\n68157 100000\n90990 100000\n25956 38925\n61131 91701\n31809 47758\n69465 100000\n40647 61004\n833 1254\n72046 100000\n52236 78385\n73932 100000\n41430 62210\n77676 100000\n5542 8339\n1248 1853\n42600 63986\n72908 100000\n32574 48901\n37146 55736\n68005 100000\n67746 100000\n25342 38035\n25112 37698\n72035 100000\n78961 100000\n41074 61660\n66608 99906\n69707 100000\n84696 100000\n97635 100000\n41429 62209\n29329 44030\n78904 100000\n58230 87378\n73733 100000\n29658 44516\n10098 15101\n69682 100000\n79022 100000\n36178 54292\n30771 46205\n1964 2944\n28477 42752\n1611 2410\n60134 90232\n37503 56282\n37363 56070\n91824 100000\n19824 29752\n19464 29210\n83335 100000\n27881 41850\n59909 89893\n68239 100000\n64604 96908\n48073 72198\n25940 38904\n91588 100000\n72841 100000\n37804 56739\n40555 60864\n51797 77738\n33535 50345\n97641 100000\n31620 47474\n67914 100000\n48970 73541\n91423 100000\n95212 100000\n18419 27640\n30274 45453\n42057 63157\n15498 23219\n28008 42043\n74537 100000\n11918 17857\n70974 100000\n51105 76696\n76561 100000\n51629 77480\n41502 62321\n30386 45616\n15456 23156\n33362 50080\n7364 11060\n14981 22428\n3673 5530\n63475 95207\n45723 68649\n75573 100000\n94144 100000\n60717 91089\n8410 12606\n50632 75983\n7892 11848\n81566 100000\n99660 100000\n61230 91849\n97657 100000\n48070 72195\n60910 91373\n62732 94112\n33927 50948\n76910 100000\n61116 91681\n39611 59452\n84067 100000\n24775 37199\n47529 71383\n49100 73737\n33094 49676\n46041 69126\n10283 15373\n45991 69053\n30414 45664\n4475 6732\n93192 100000\n43769 65732\n56586 84900\n13383 20055\n82555 100000\n92368 100000\n95949 100000\n36652 54999\n14221 21294\n53098 79679\n26052 39079\n6434 9663\n75017 100000\n49432 74218\n25918 38868\n6322 9496\n25947 38913\n81141 100000\n26546 39829\n59288 88968\n11345 16980\n78346 100000\n89649 100000\n61710 92568\n56154 84249\n23415 35149\n34526 51835\n79898 100000\n82068 100000\n83903 100000\n11074 16578\n69490 100000\n70553 100000\n34430 51692\n12016 18006\n97630 100000\n71766 100000\n19664 29510\n51858 77825\n65970 98964\n36047 54104\n72720 100000\n71051 100000\n30129 45227\n35450 53219\n66854 100000\n72724 100000\n33859 50846\n55033 82546\n22494 33778\n444 675\n30917 46428\n99890 100000\n63673 95503\n92610 100000\n84663 100000\n83749 100000\n41525 62353\n47340 71100\n77713 100000\n3682 5541\n71192 100000\n25649 38480\n18416 27636\n76096 100000\n69421 100000\n55447 83183\n77862 100000\n66130 99203\n77645 100000\n75952 100000\n77629 100000\n51011 76552\n93959 100000\n10804 16169\n13819 20679\n90072 100000\n16090 24095\n33232 49885\n88488 100000\n97963 100000\n79741 100000\n80667 100000\n52472 78741\n82153 100000\n94945 100000\n97725 100000\n5960 8956\n17991 26990\n28943 43456\n52169 78291\n86394 100000\n31925 47931\n48830 73330\n37097 55668\n42402 63692\n49444 74238\n13831 20698\n23815 35748\n78460 100000\n67018 100000\n25219 37862\n42472 63797\n33585 50419\n68102 100000\n20033 30051\n2991 4500\n31702 47583\n11458 17150\n67046 100000\n78421 100000\n36128 54222\n57395 86101\n91537 100000\n34490 51778\n40636 60989\n28196 42333\n53326 80010\n71195 100000\n50636 75989\n79291 100000\n43137 64802\n42640 64045\n66543 99813\n15920 23833\n33442 50198\n11881 17797\n85516 100000\n44375 66647\n289 434\n56732 85117\n80851 100000\n47954 72019\n46216 69397\n96094 100000\n72884 100000\n99921 100000\n77348 100000\n93334 100000\n10707 16022\n99769 100000\n16135 24162\n4712 7086\n16127 24150\n22306 33503\n5618 8456\n78006 100000\n58759 88188\n46032 69113\n33988 51042\n96345 100000\n43944 65996\n64128 96192\n16287 24390\n24095 36177\n90971 100000\n55246 82876\n26105 39152\n52686 79066\n13497 20215\n92821 100000\n12745 19093\n55212 82827\n43289 65027\n23170 34791\n59172 88791\n1660 2488\n87681 100000\n65147 97719\n51322 77013\n61641 92471\n98337 100000\n14949 22377\n64133 96200\n70341 100000\n55153 82742\n87305 100000\n35444 53209\n42924 64478\n19360 29047\n94563 100000\n30798 46244\n1681 2518\n28360 42580\n13272 19888\n33227 49877\n26551 39836\n54437 81669\n26623 39943\n22706 34089\n57879 86833\n64500 96762\n40066 60130\n22860 34317\n90200 100000\n17837 26764\n53866 80829\n10691 15998\n88818 100000\n60493 90761\n76423 100000\n74059 100000\n55314 82977\n70022 100000\n39197 58827\n77303 100000\n31927 47935\n86502 100000\n66 100\n31287 46972\n91439 100000\n91623 100000\n8829 13219\n23656 35509\n73020 100000\n56115 84187\n41059 61633\n10331 15447\n1631 2440\n8074 12108\n66954 100000\n74478 100000\n85945 100000\n28469 42742\n66775 100000\n74945 100000\n59503 89290\n37411 56143\n98109 100000\n49491 74311\n33121 49719\n6350 9536\n21534 32318\n96096 100000\n71966 100000\n44634 67022\n92930 100000\n97138 100000\n35514 53310\n51932 77933\n28287 42474\n32500 48797\n89938 100000\n2075 3107\n89370 100000\n43 65\n44378 66652\n26478 39725\n99201 100000\n15660 23453\n88211 100000\n12602 18883\n31527 47332\n34685 52073\n16816 25200\n19919 29886\n27577 41391\n787 1182\n87098 100000\n64941 97415\n82948 100000\n8401 12593\n60893 91352\n25412 38136\n87648 100000\n35084 52668\n93247 100000\n37982 57007\n60930 91404\n65705 98562\n66835 100000\n64713 97072\n20858 31301\n69935 100000\n80776 100000\n96695 100000\n11693 17509\n85002 100000\n68243 100000\n79062 100000\n98303 100000\n15586 23346\n6243 9375\n24465 36733\n69666 100000\n49121 73771\n1909 2861\n52744 79154\n46245 69442\n52852 79320\n76996 100000\n62070 93116\n97914 100000\n87608 100000\n3678 5536\n98454 100000\n54672 82004\n43499 65332\n31686 47561\n45942 68979\n86363 100000\n6490 9747\n41316 62036\n39266 58931\n52372 78586\n36427 54665\n81636 100000\n24270 36423\n21779 32706\n9901 14810\n69884 100000\n63622 95428\n82325 100000\n10565 15798\n82236 100000\n48267 72474\n53712 80596\n53196 79822\n9954 14889\n68040 100000\n15929 23843\n20156 30240\n81540 100000\n68877 100000\n16409 24567\n14610 21869\n82399 100000\n46595 69986\n80720 100000\n72273 100000\n51283 76957\n59024 88575\n19287 28934\n6511 9779\n82676 100000\n43679 65597\n8679 12999\n43433 65238\n89854 100000\n60316 90495\n87790 100000\n14469 21657\n10864 16262\n99853 100000\n33018 49567\n54309 81493\n42114 63242\n54375 81584\n25022 37570\n82805 100000\n28228 42383\n13715 20525\n62708 94081\n11469 17166\n40843 61313\n93193 100000\n43755 65711\n65866 98808\n50873 76349\n60611 90935\n97070 100000\n57070 85630\n42529 63881\n94939 100000\n37705 56589\n92671 100000\n37040 55586\n6611 9923\n62409 93628\n65043 97562\n72696 100000\n35493 53276\n59895 89873\n29155 43775\n99273 100000\n9778 14627\n53288 79952\n15777 23625\n44681 67087\n85071 100000\n86465 100000\n61681 92526\n89608 100000\n65678 98520\n58446 87711\n47072 70699\n29889 44862\n38078 57146\n25703 38553\n17172 25753\n28016 42055\n72366 100000\n65594 98391\n78991 100000\n29642 44494\n21327 32007\n53015 79557\n4520 6797\n96765 100000\n91104 100000\n47597 71484\n63455 95175\n82458 100000\n31981 48017\n88706 100000\n48375 72643\n86620 100000\n79685 100000\n9919 14832\n37607 56447\n15679 23479\n42861 64383\n67683 100000\n4597 6915\n7549 11341\n18151 27233\n19092 28646\n23622 35462\n5898 8868\n91070 100000\n9175 13736\n42054 63153\n38882 58350\n12370 18528\n2246 3367\n61848 92779\n82026 100000\n73663 100000\n52384 78604\n68683 100000\n1521 2277\n74997 100000\n6945 10427\n19324 28990\n80446 100000\n64599 96903\n39840 59795\n29439 44193\n69422 100000\n39391 59125\n10866 16266\n13765 20599\n13200 19778\n26210 39322\n44227 66422\n34713 52118\n17845 26776\n48011 72105\n9522 14256\n89874 100000\n46732 70188\n53220 79853\n16637 24931\n67578 100000\n63948 95918\n50788 76225\n41180 61825\n68486 100000\n13137 19682\n87591 100000\n99169 100000\n15463 23167\n18089 27137\n4325 6510\n28799 43229\n62306 93472\n55628 83460\n11222 16797\n87070 100000\n74374 100000\n68903 100000\n32471 48756\n75520 100000\n30393 45628\n10040 15008\n98642 100000\n25782 38674\n34043 51130\n26949 40433\n88057 100000\n57352 86033\n31570 47396\n41060 61635\n51398 77127\n7323 11001\n17534 26302\n20357 30548\n30063 45126\n96749 100000\n41786 62755\n90924 100000\n67826 100000\n47476 71307\n6723 10093\n75339 100000\n67636 100000\n7746 11636\n21633 32479\n33374 50099\n13316 19952\n75843 100000\n38975 58494\n3301 4963\n84336 100000\n54656 81981\n20728 31106\n99597 100000\n123 187\n16078 24078\n18521 27793\n84447 100000\n11883 17800\n21121 31698\n44294 66525\n37511 56294\n35434 53193\n17413 26118\n43406 65197\n46140 69274\n10319 15427\n66382 99579\n53126 79721\n58217 87358\n10779 16136\n11926 17870\n81582 100000\n12403 18579\n57382 86079\n34593 51932\n9365 14021\n84618 100000\n15812 23675\n8875 13285\n9259 13859\n91065 100000\n53660 80519\n90098 100000\n83871 100000\n6038 9067\n6814 10229\n55716 83589\n22538 33846\n81978 100000\n37710 56595\n25887 38822\n23620 35459\n56632 84973\n25049 37608\n15849 23728\n74790 100000\n30272 45450\n93548 100000\n73517 100000\n24451 36709\n67724 100000\n62516 93789\n55523 83302\n38245 57387\n25453 38192\n64359 96541\n89600 100000\n37569 56385\n48971 73542\n82918 100000\n17953 26940\n81191 100000\n77080 100000\n85023 100000\n83934 100000\n51630 77481\n12482 18700\n46197 69364\n58053 87094\n91174 100000\n70190 100000\n20421 30648\n70209 100000\n69257 100000\n48637 73045\n40685 61068\n18064 27098\n1491 2234\n93877 100000\n10238 15308\n40536 60833\n72212 100000\n73126 100000\n46430 69735\n64001 96002\n20897 31362\n7097 10654\n25564 38351\n34010 51077\n71897 100000\n2325 3491\n25072 37638\n44073 66188\n90163 100000\n44821 67299\n82359 100000\n62276 93431\n29134 43742\n10968 16417\n49292 74017\n45391 68153\n98159 100000\n78986 100000\n19242 28866\n62664 94013\n97902 100000\n12589 18861\n34234 51400\n13848 20722\n89944 100000\n84930 100000\n69991 100000\n29476 44248\n5803 8724\n25725 38585\n93565 100000\n47616 71517\n48740 73200\n70969 100000\n44783 67237\n66859 100000\n69264 100000\n84698 100000\n55374 83067\n48223 72408\n81296 100000\n32204 48350\n26956 40445\n43563 65425\n29662 44520\n63671 95500\n73211 100000\n9388 14052\n18017 27027\n36006 54040\n97002 100000\n26324 39497\n70835 100000\n48691 73130\n70127 100000\n17198 25794\n2824 4238\n23765 35669\n4007 6043\n96401 100000\n9035 13522\n86997 100000\n76248 100000\n13824 20689\n1993 2985\n26508 39771\n28218 42367\n38299 57468\n58407 87650\n50445 75707\n42209 63384\n50987 76520\n82898 100000\n10 15\n45196 67861\n55842 83771\n17933 26915\n15794 23648\n70198 100000\n88119 100000\n91356 100000\n76580 100000\n5094 7652\n27870 41832\n94389 100000\n27053 40589\n33728 50639\n71644 100000\n91360 100000\n2585 3878\n52526 78823\n9646 14425\n30891 46386\n53003 79539\n52006 78049\n38123 57217\n31154 46783\n81548 100000\n60807 91218\n31144 46768\n15423 23098\n1511 2262\n22132 33247\n56568 84873\n3832 5766\n72604 100000\n64038 96060\n83350 100000\n71084 100000\n37502 56280\n20413 30635\n95077 100000\n96775 100000\n8748 13102\n28298 42488\n24910 37402\n92043 100000\n70452 100000\n10999 16465\n66916 100000\n48052 72168\n12518 18758\n11525 17249\n3887 5854\n66568 99848\n62029 93047\n67139 100000\n73368 100000\n90087 100000\n9228 13816\n79707 100000\n95637 100000\n87629 100000\n39460 59225\n88555 100000\n97784 100000\n90410 100000\n96009 100000\n3564 5365\n21611 32441\n875 1316\n21254 31893\n31314 47014\n34116 51237\n43674 65588\n49344 74087\n21961 32988\n80198 100000\n5167 7760\n84191 100000\n81156 100000\n85693 100000\n45295 68008\n87136 100000\n4138 6232\n11291 16902\n86522 100000\n48535 72889\n33586 50421\n93635 100000\n64993 97490\n97664 100000\n95376 100000\n38607 57936\n1326 1968\n29596 44424\n51683 77565\n27933 41931\n18572 27873\n23295 34971\n15504 23225\n78363 100000\n56998 85517\n39552 59361\n79235 100000\n85670 100000\n16235 24309\n22915 34405\n25681 38523\n44116 66256\n11591 17348\n12543 18795\n52589 78913\n25062 37626\n70380 100000\n3474 5233\n91000 100000\n22089 33178\n28931 43437\n95971 100000\n8887 13305\n50576 75900\n4116 6202\n83701 100000\n87210 100000\n45311 68031\n16401 24555\n35553 53369\n7999 12000\n63789 95677\n41448 62236\n53131 79729\n47777 71753\n98644 100000\n3906 5886\n69045 100000\n66899 100000\n65964 98957\n66122 99190\n64244 96362\n68180 100000\n51030 76584\n15684 23485\n9430 14121\n18206 27314\n62023 93036\n75396 100000\n96514 100000\n98147 100000\n50967 76488\n59325 89023\n11008 16480\n61549 92336\n36300 54474\n20567 30873\n36484 54751\n45941 68978\n76474 100000\n79373 100000\n29880 44849\n64454 96694\n19429 29156\n52988 79516\n24044 36099\n43196 64888\n51445 77200\n13734 20552\n23685 35549\n6144 9233\n16506 24721\n68791 100000\n33258 49929\n46893 70426\n7883 11835\n82345 100000\n14963 22398\n15933 23850\n86608 100000\n2367 3555\n2001 2998\n37664 56525\n35124 52726\n6321 9494\n87193 100000\n33899 50907\n34939 52456\n65955 98941\n92698 100000\n47074 70703\n28113 42205\n33829 50795\n87018 100000\n1851 2782\n43750 65705\n89655 100000\n26530 39802\n59546 89353\n58128 87219\n76114 100000\n3785 5697\n13421 20109\n60579 90887\n38527 57814\n62951 94432\n96232 100000\n22256 33435\n65254 97878\n9336 13978\n26169 39255\n44362 66626\n28512 42808\n34142 51270\n12289 18399\n78553 100000\n5659 8514\n27477 41235\n95544 100000\n39839 59793\n14058 21039\n9313 13944\n48849 73358\n60806 91217\n48887 73416\n78776 100000\n24264 36415\n32238 48402\n47337 71095\n93857 100000\n26947 40429\n10569 15805\n2560 3843\n26120 39172\n18464 27710\n36326 54516\n39114 58704\n11607 17371\n58519 87822\n26261 39398\n29526 44320\n31781 47711\n87274 100000\n36708 55080\n24 36\n59826 89773\n75810 100000\n51776 77703\n94537 100000\n91178 100000\n9287 13904\n45921 68950\n21438 32176\n778 1167\n3823 5752\n9370 14027\n57144 85730\n12676 18992\n62908 94370\n98613 100000\n60801 91211\n61514 92283\n64043 96067\n75818 100000\n47041 70650\n30168 45288\n8263 12392\n16841 25237\n66425 99640\n51612 77451\n7054 10593\n26865 40311\n17417 26125\n62595 93914\n23730 35618\n25323 38007\n87061 100000\n22548 33861\n50747 76161\n60788 91194\n11778 17635\n75984 100000\n72152 100000\n1278 1896\n22741 34141\n67326 100000\n93030 100000\n97652 100000\n93551 100000\n77638 100000\n42887 64422\n81586 100000\n18875 28319\n62585 93901\n90643 100000\n98736 100000\n95259 100000\n8227 12342\n65972 98967\n86832 100000\n93656 100000\n48837 73341\n65332 98002\n75929 100000\n13627 20398\n82119 100000\n36490 54761\n20519 30803\n21039 31573\n70837 100000\n79560 100000\n93034 100000\n29132 43740\n44094 66220\n5101 7664\n91424 100000\n43195 64887\n12337 18478\n84354 100000\n16330 24453\n40141 60241\n95721 100000\n110 167\n56435 84675\n62416 93638\n559 843\n23721 35605\n15834 23703\n17808 26721\n29309 43998\n36587 54907\n44105 66237\n79548 100000\n51141 76747\n13468 20174\n95494 100000\n94393 100000\n85169 100000\n77148 100000\n35964 53976\n91912 100000\n44463 66770\n76045 100000\n39365 59082\n82750 100000\n94362 100000\n72809 100000\n41348 62083\n72622 100000\n6504 9769\n95843 100000\n17687 26535\n86028 100000\n66243 99373\n11874 17788\n36931 55418\n12636 18935\n75596 100000\n85277 100000\n53677 80542\n10913 16335\n90677 100000\n22009 33059\n95102 100000\n17351 26028\n78790 100000\n11654 17445\n74065 100000\n86555 100000\n39890 59877\n50853 76320\n16826 25214\n87669 100000\n2060 3084\n12108 18135\n65914 98878\n74661 100000\n32455 48735\n28592 42927\n49083 73709\n41320 62041\n22952 34458\n4636 6972\n64715 97075\n5076 7628\n85436 100000\n39610 59451\n23240 34892\n23943 35938\n18770 28165\n76149 100000\n72981 100000\n84334 100000\n80485 100000\n38608 57937\n75283 100000\n16190 24241\n71603 100000\n8106 12156\n30237 45394\n83939 100000\n47621 71524\n6639 9969\n8613 12900\n33180 49806\n54697 82043\n41517 62341\n77449 100000\n83772 100000\n33425 50170\n10167 15202\n52729 79129\n99733 100000\n36964 55468\n39543 59347\n5741 8634\n79722 100000\n6768 10162\n45769 68719\n84450 100000\n36102 54184\n2650 3979\n70544 100000\n86804 100000\n64035 96055\n16795 25163\n499 753\n35210 52861\n35961 53972\n79169 100000\n46102 69218\n375 569\n58815 88267\n67947 100000\n28753 43163\n22639 33993\n27618 41446\n71734 100000\n40820 61271\n10857 16253\n608 919\n69261 100000\n27958 41969\n73187 100000\n14013 20974\n80255 100000\n74330 100000\n18823 28243\n99449 100000\n50474 75748\n65069 97601\n94143 100000\n76392 100000\n8452 12667\n89618 100000\n78537 100000\n43542 65391\n87876 100000\n84147 100000\n729 1100\n77750 100000\n39867 59838\n72976 100000\n53692 80567\n72616 100000\n89326 100000\n78911 100000\n35990 54015\n34568 51895\n76933 100000\n85183 100000\n58116 87200\n13564 20314\n44210 66398\n5345 8031\n97439 100000\n45345 68083\n86352 100000\n28169 42289\n63156 94743\n75772 100000\n28384 42617\n69126 100000\n11709 17534\n4704 7071\n20123 30189\n70582 100000\n21934 32949\n55886 83838\n83764 100000\n36858 55302\n90274 100000\n16823 25210\n85685 100000\n14502 21706\n91431 100000\n53994 81022\n45646 68534\n90954 100000\n95369 100000\n58756 88184\n64112 96169\n15238 22815\n41182 61828\n17259 25888\n77128 100000\n29059 43629\n27998 42028\n62431 93665\n96533 100000\n69481 100000\n89308 100000\n50737 76144\n37178 55789\n28960 43482\n84243 100000\n55131 82706\n57437 86160\n74656 100000\n2351 3532\n91732 100000\n49045 73654\n85611 100000\n83313 100000\n93369 100000\n64923 97385\n12499 18726\n23828 35766\n16175 24217\n96224 100000\n27905 41887\n43660 65566\n25051 37611\n40187 60310\n17867 26810\n65311 97972\n31263 46938\n15940 23861\n68454 100000\n91850 100000\n88480 100000\n64084 96128\n20114 30175\n14528 21745\n22259 33439\n18212 27324\n62821 94245\n73579 100000\n57912 86881\n65116 97671\n80184 100000\n96980 100000\n10735 16064\n21697 32575\n59707 89596\n35517 53314\n97501 100000\n29213 43862\n80105 100000\n66328 99494\n32731 49138\n36830 55258\n89041 100000\n59121 88715\n60685 91042\n58778 88215\n26784 40187\n13573 20327\n59644 89500\n33678 50557\n21051 31592\n81431 100000\n45494 68310\n76943 100000\n27181 40784\n69549 100000\n80484 100000\n13025 19519\n13459 20159\n14151 21186\n24967 37490\n299 452\n63702 95548\n18031 27050\n83214 100000\n3135 4712\n32623 48980\n46405 69695\n73751 100000\n96360 100000\n68023 100000\n12522 18764\n21562 32359\n84 130\n75159 100000\n36868 55318\n98814 100000\n73318 100000\n35202 52848\n84979 100000\n60050 90109\n70346 100000\n96959 100000\n28757 43170\n82891 100000\n16327 24448\n24247 36393\n26064 39098\n30664 46047\n81874 100000\n81815 100000\n39309 58995\n66241 99370\n65544 98316\n22946 34449\n6533 9813\n86299 100000\n47983 72062\n88464 100000\n41507 62327\n72180 100000\n55509 83279\n42450 63766\n85779 100000\n65784 98681\n97820 100000\n57188 85797\n61059 91591\n96429 100000\n94217 100000\n62997 94501\n88333 100000\n10937 16371\n78018 100000\n57944 86928\n53022 79568\n7935 11905\n59853 89811\n31611 47460\n21620 32457\n72255 100000\n6002 9016\n57997 87006\n45639 68524\n74418 100000\n45613 68486\n91595 100000\n92056 100000\n90581 100000\n24492 36778\n7251 10889\n35006 52556\n89427 100000\n32255 48430\n83992 100000\n8230 12345\n21671 32539\n48983 73562\n12733 19076\n21243 31877\n91837 100000\n25984 38971\n40701 61094\n21568 32369\n54411 81630\n59020 88570\n24679 37060\n89959 100000\n42086 63202\n56440 84684\n87062 100000\n2095 3139\n71492 100000\n26667 40007\n84909 100000\n16443 24623\n12496 18721\n8063 12096\n59900 89880\n36716 55091\n56729 85113\n57257 85891\n99508 100000\n14479 21669\n16427 24598\n34196 51346\n88573 100000\n31639 47499\n40188 60311\n59856 89815\n46138 69270\n44699 67113\n8223 12337\n22383 33608\n27507 41286\n72560 100000\n17199 25795\n89947 100000\n75832 100000\n19380 29076\n60034 90084\n83369 100000\n58080 87139\n265 400\n80034 100000\n3938 5934\n99868 100000\n40864 61343\n21884 32872\n95867 100000\n60191 90319\n59387 89117\n94800 100000\n94136 100000\n49143 73804\n30548 45870\n76003 100000\n24571 36897\n51719 77618\n66315 99473\n21453 32197\n25596 38399\n53450 80198\n23773 35682\n67494 100000\n95896 100000\n34706 52105\n81534 100000\n80179 100000\n23296 34972\n11534 17263\n98725 100000\n92210 100000\n77816 100000\n91926 100000\n50456 75724\n96646 100000\n8768 13131\n43507 65342\n51826 77780\n31587 47421\n57865 86813\n97975 100000\n16632 24924\n95124 100000\n61842 92768\n35079 52662\n96476 100000\n44636 67025\n92365 100000\n79928 100000\n15013 22479\n87751 100000\n90747 100000\n51768 77689\n18045 27072\n86680 100000\n7191 10797\n30561 45889\n36162 54270\n20416 30640\n76720 100000\n56436 84677\n79371 100000\n12349 18495\n87710 100000\n55093 82644\n88479 100000\n78115 100000\n33573 50402\n19352 29034\n76465 100000\n95944 100000\n36231 54367\n43598 65477\n71597 100000\n61812 92720\n22786 34206\n69651 100000\n38032 57077\n54955 82431\n87467 100000\n8709 13045\n38887 58358\n1854 2786\n83625 100000\n23341 35042\n74518 100000\n62497 93764\n97836 100000\n82146 100000\n74167 100000\n30809 46261\n26395 39604\n99505 100000\n44776 67228\n74396 100000\n4131 6222\n56255 84395\n47146 70810\n68839 100000\n46553 69926\n88039 100000\n54728 82091\n1021 1528\n38718 58106\n82534 100000\n94162 100000\n75758 100000\n70530 100000\n36222 54354\n2978 4481\n20374 30573\n76214 100000\n4728 7109\n3554 5349\n21726 32620\n71565 100000\n77892 100000\n5813 8740\n38698 58074\n42904 64444\n42026 63114\n6789 10194\n12368 18525\n14457 21641\n56507 84783\n19359 29045\n27104 40673\n58342 87551\n61984 92979\n80220 100000\n75779 100000\n98295 100000\n81957 100000\n69048 100000\n71645 100000\n32830 49290\n23298 34976\n35688 53565\n65002 97504\n24982 37514\n38711 58095\n97287 100000\n90369 100000\n79617 100000\n34808 52262\n6304 9470\n67298 100000\n59778 89706\n6751 10136\n65638 98460\n60663 91009\n5897 8867\n80352 100000\n87020 100000\n14602 21856\n85944 100000\n18361 27550\n20303 30468\n62311 93480\n79535 100000\n35837 53790\n95579 100000\n9515 14246\n18623 27948\n43113 64766\n79415 100000\n92506 100000\n30878 46367\n90102 100000\n35411 53155\n75221 100000\n43710 65646\n36857 55301\n14280 21375\n6717 10083\n45445 68234\n66273 99413\n75323 100000\n35345 53061\n65 99\n70843 100000\n86422 100000\n688 1042\n69452 100000\n22058 33134\n76732 100000\n49167 73843\n78311 100000\n20349 30535\n98172 100000\n32324 48534\n21038 31572\n67424 100000\n84016 100000\n73942 100000\n66353 99533\n58255 87418\n51450 77206\n80894 100000\n105 160\n26755 40141\n34017 51090\n27610 41434\n86613 100000\n8130 12191\n50268 75447\n18994 28500\n87796 100000\n80664 100000\n18251 27384\n61404 92110\n75292 100000\n51531 77329\n90551 100000\n49236 73940\n91158 100000\n88861 100000\n80644 100000\n74973 100000\n83202 100000\n952 1430\n15833 23701\n21941 32957\n74105 100000\n2811 4221\n1907 2859\n48447 72755\n23751 35652\n36618 54950\n10103 15108\n6465 9709\n62061 93101\n13464 20167\n73325 100000\n10624 15890\n85806 100000\n17937 26919\n98728 100000\n46728 70182\n74636 100000\n20068 30104\n51250 76909\n56203 84322\n31669 47537\n24743 37150\n20089 30138\n9733 14555\n21486 32246\n44030 66123\n67225 100000\n54334 81529\n57026 85565\n6233 9361\n59940 89944\n24514 36810\n51496 77274\n5681 8548\n80924 100000\n57312 85972\n6554 9842\n1302 1930\n42308 63537\n62859 94305\n97000 100000\n97024 100000\n73661 100000\n9976 14915\n76907 100000\n91668 100000\n87445 100000\n19678 29530\n49983 75023\n53515 80306\n24543 36856\n7718 11592\n77026 100000\n63511 95262\n40815 61264\n46547 69917\n26888 40342\n79852 100000\n63746 95611\n82397 100000\n14392 21538\n4043 6097\n44097 66225\n75848 100000\n66699 100000\n88291 100000\n80641 100000\n29045 43610\n29582 44406\n53840 80791\n42700 64139\n78606 100000\n84628 100000\n66398 99602\n44372 66641\n17548 26320\n55076 82616\n3081 4633\n2396 3596\n68739 100000\n56537 84828\n6196 9309\n45734 68668\n15320 22941\n98342 100000\n76237 100000\n7114 10676\n99717 100000\n10172 15210\n59524 89322\n17088 25615\n17082 25606\n50828 76283\n63210 94816\n36126 54218\n67330 100000\n57345 86023\n78280 100000\n57285 85934\n88274 100000\n22191 33334\n7996 11995\n70061 100000\n60766 91163\n81039 100000\n59061 88626\n52357 78563\n4181 6294\n52232 78379\n92048 100000\n78972 100000\n18725 28102\n92022 100000\n68084 100000\n64524 96794\n66880 100000\n98185 100000\n47112 70758\n41529 62358\n96081 100000\n67705 100000\n48187 72362\n16066 24059\n77328 100000\n55544 83335\n97829 100000\n15450 23144\n686 1039\n60089 90165\n94493 100000\n13595 20357\n20638 30979\n1914 2870\n25334 38025\n86730 100000\n75892 100000\n72279 100000\n41395 62158\n64069 96107\n34359 51587\n88616 100000\n47133 70789\n1474 2208\n8874 13284\n18955 28439\n6949 10434\n5676 8539\n62750 94141\n62057 93094\n77928 100000\n50218 75368\n28076 42150\n91085 100000\n13657 20441\n79021 100000\n84030 100000\n57866 86814\n24523 36823\n29454 44213\n40709 61107\n41311 62027\n43504 65339\n43992 66070\n93367 100000\n89289 100000\n29163 43786\n98623 100000\n28266 42443\n56122 84198\n4211 6337\n57137 85720\n34811 52266\n42795 64289\n799 1200\n17036 25536\n32764 49190\n26337 39516\n64484 96743\n65345 98022\n61295 91948\n7403 11123\n31799 47741\n13426 20116\n81198 100000\n70118 100000\n79018 100000\n90187 100000\n60127 90222\n78990 100000\n98626 100000\n84047 100000\n94420 100000\n722 1088\n52016 78065\n11049 16544\n8030 12046\n82301 100000\n61401 92105\n81494 100000\n33356 50072\n79737 100000\n4469 6723\n62818 94241\n55687 83545\n71765 100000\n27846 41795\n492 741\n20619 30954\n1654 2477\n14107 21117\n31383 47119\n80916 100000\n75127 100000\n54249 81401\n26253 39385\n67289 100000\n57125 85704\n27842 41789\n70858 100000\n2648 3976\n24011 36049\n17560 26337\n75949 100000\n46987 70562\n53282 79943\n83140 100000\n52266 78428\n26750 40134\n96511 100000\n30278 45460\n78980 100000\n64915 97372\n5686 8555\n20892 31354\n82141 100000\n27353 41043\n62806 94223\n70149 100000\n82275 100000\n75301 100000\n30187 45321\n69265 100000\n5615 8452\n60901 91362\n19322 28987\n13807 20661\n36244 54389\n84532 100000\n10860 16257\n39621 59464\n50883 76363\n66836 100000\n22435 33685\n7045 10578\n51804 77748\n21577 32384\n59466 89236\n68449 100000\n53183 79804\n19366 29055\n49070 73691\n85052 100000\n11420 17087\n8470 12695\n33476 50251\n46736 70192\n13521 20251\n80681 100000\n3101 4663\n69532 100000\n56085 84141\n34927 52437\n44943 67490\n92031 100000\n16568 24825\n91593 100000\n19304 28960\n40172 60285\n58529 87835\n86127 100000\n85889 100000\n36098 54178\n91675 100000\n84039 100000\n85668 100000\n78516 100000\n69135 100000\n54234 81378\n61734 92604\n17706 26567\n12374 18534\n14489 21684\n11426 17097\n78777 100000\n42774 64257\n58155 87258\n51002 76541\n9671 14460\n7736 11623\n91652 100000\n50901 76395\n39923 59923\n76767 100000\n25708 38560\n66725 100000\n23839 35782\n76914 100000\n98113 100000\n74668 100000\n33468 50237\n40284 60454\n26531 39804\n62434 93668\n84234 100000\n42071 63178\n91941 100000\n57623 86446\n93765 100000\n14289 21388\n66257 99391\n2932 4412\n76566 100000\n46599 69992\n26413 39633\n46788 70269\n99018 100000\n72729 100000\n21972 33006\n21352 32044\n79264 100000\n13601 20365\n31356 47080\n22796 34223\n32078 48164\n64948 97426\n37219 55856\n57380 86076\n45612 68485\n20409 30629\n56453 84703\n74421 100000\n145 220\n83379 100000\n49335 74074\n80598 100000\n28677 43053\n26552 39838\n12330 18466\n89680 100000\n49480 74294\n54405 81623\n99498 100000\n24989 37525\n34837 52307\n85371 100000\n32558 48878\n795 1193\n18172 27265\n37349 56047\n13561 20310\n3244 4878\n96466 100000\n87432 100000\n57049 85600\n41587 62448\n85026 100000\n81749 100000\n15632 23408\n66080 99125\n39415 59155\n17420 26130\n46418 69716\n28213 42359\n2855 4283\n49252 73965\n76253 100000\n23398 35123\n57165 85763\n64444 96678\n48145 72300\n31693 47571\n19292 28942\n69645 100000\n28848 43310\n30233 45389\n66368 99556\n59067 88635\n65834 98755\n99732 100000\n26666 40005\n65590 98384\n49060 73676\n33241 49899\n86557 100000\n3896 5867\n66050 99079\n63994 95990\n90330 100000\n30620 45979\n7793 11702\n45525 68357\n64047 96073\n33083 49663\n61458 92193\n14658 21940\n64734 97102\n94242 100000\n34386 51632\n16433 24607\n94847 100000\n247 376\n47034 70639\n82060 100000\n24634 36988\n28442 42704\n41324 62045\n22608 33950\n39515 59307\n55045 82565\n276 416\n23944 35940\n40814 61263\n55052 82575\n88175 100000\n84990 100000\n20999 31511\n22349 33562\n28217 42366\n69173 100000\n47433 71242\n56481 84742\n49015 73612\n95833 100000\n69683 100000\n80041 100000\n2959 4454\n93391 100000\n27532 41323\n24931 37435\n33816 50775\n33276 49956\n45120 67754\n13248 19851\n25727 38589\n90641 100000\n13875 20765\n62754 94147\n85561 100000\n12842 19241\n63432 95142\n8156 12232\n20070 30107\n45886 68897\n65448 98175\n2027 3038\n60369 90577\n21273 31924\n22285 33476\n33358 50075\n9586 14341\n33654 50522\n83388 100000\n46973 70541\n40405 60636\n22702 34083\n76262 100000\n27374 41077\n79884 100000\n70412 100000\n86136 100000\n91549 100000\n40095 60173\n7588 11393\n84453 100000\n58444 87707\n72651 100000\n21377 32082\n32205 48351\n17537 26306\n32458 48738\n66339 99511\n50351 75575\n30340 45548\n50928 76429\n49683 74589\n6808 10221\n21808 32753\n17285 25929\n26123 39176\n57685 86535\n71704 100000\n71179 100000\n71564 100000\n71778 100000\n51584 77411\n33993 51052\n85709 100000\n58992 88529\n74948 100000\n54564 81852\n70786 100000\n90360 100000\n34464 51742\n88596 100000\n98462 100000\n93076 100000\n2762 4149\n20457 30708\n20886 31345\n90769 100000\n94775 100000\n73644 100000\n55003 82502\n1731 2600\n99242 100000\n54647 81970\n32008 48057\n61883 92828\n23041 34598\n82166 100000\n53350 80044\n10810 16178\n55703 83568\n16062 24053\n89382 100000\n77469 100000\n18811 28227\n76090 100000\n18425 27648\n90997 100000\n56887 85339\n9207 13785\n81088 100000\n75907 100000\n47601 71491\n70229 100000\n74187 100000\n23617 35454\n82109 100000\n24432 36677\n60312 90489\n89558 100000\n15708 23521\n20712 31082\n48798 73286\n20017 30026\n71840 100000\n730 1101\n43978 66044\n4917 7389\n3824 5754\n37825 56770\n98208 100000\n19658 29502\n40677 61055\n87757 100000\n66354 99534\n61506 92271\n12806 19191\n97732 100000\n83451 100000\n67127 100000\n59680 89556\n77957 100000\n83101 100000\n15686 23489\n80056 100000\n28791 43219\n18458 27701\n41458 62252\n38178 57295\n78326 100000\n75766 100000\n40017 60058\n77785 100000\n46706 70150\n43142 64809\n75898 100000\n18863 28303\n29982 45002\n34897 52395\n21844 32808\n97139 100000\n14521 21733\n45067 67680\n36563 54871\n26922 40392\n22493 33776\n63708 95559\n67039 100000\n46007 69077\n95217 100000\n66965 100000\n95418 100000\n78229 100000\n77870 100000\n34290 51485\n33961 51000\n17662 26498\n47035 70641\n24130 36229\n73897 100000\n41957 63007\n6780 10183\n88062 100000\n90487 100000\n84957 100000\n22643 33998\n45789 68746\n35496 53282\n45565 68411\n40481 60750\n21926 32937\n25193 37821\n85906 100000\n4195 6316\n62008 93014\n32624 48982\n33087 49667\n90512 100000\n17025 25520\n53271 79927\n5121 7695\n68868 100000\n56270 84419\n52234 78382\n22849 34302\n3322 4999\n54487 81746\n92190 100000\n32946 49458\n83011 100000\n76619 100000\n68491 100000\n66618 99917\n48855 73366\n57367 86057\n73561 100000\n28719 43111\n65406 98107\n59206 88843\n2761 4147\n53481 80253\n57286 85935\n93690 100000\n43020 64625\n73087 100000\n93416 100000\n31019 46580\n24426 36669\n59619 89460\n83040 100000\n12086 18102\n1117 1663\n94599 100000\n9465 14170\n40907 61410\n23241 34894\n18069 27105\n72355 100000\n17944 26928\n71860 100000\n90050 100000\n62246 93380\n5117 7687\n22181 33317\n25934 38894\n93280 100000\n69103 100000\n75088 100000\n99473 100000\n79908 100000\n23200 34834\n43526 65370\n8907 13337\n99315 100000\n55947 83931\n21217 31840\n52224 78368\n80703 100000\n86623 100000\n24166 36280\n60317 90497\n14841 22214\n65298 97951\n30405 45650\n954 1432\n97524 100000\n63030 94548\n86057 100000\n87994 100000\n12065 18074\n2817 4228\n80274 100000\n75281 100000\n31104 46709\n54742 82110\n61058 91589\n58453 87723\n48993 73579\n4543 6832\n10986 16445\n63465 95192\n67125 100000\n46168 69320\n62904 94365\n82507 100000\n44928 67467\n68224 100000\n36914 55393\n85743 100000\n45099 67723\n17001 25485\n37728 56622\n867 1305\n8853 13252\n76818 100000\n15006 22466\n29517 44305\n12711 19041\n34072 51176\n31039 46612\n13986 20934\n73761 100000\n94414 100000\n42501 63841\n43243 64959\n4918 7391\n698 1057\n32058 48135\n75149 100000\n96946 100000\n4748 7141\n71684 100000\n48634 73041\n66162 99249\n75696 100000\n84550 100000\n64213 96318\n63053 94583\n33291 49978\n29332 44034\n55534 83318\n23901 35873\n17377 26065\n24306 36481\n64540 96815\n95858 100000\n44615 66994\n68645 100000\n47223 70925\n55688 83547\n53826 80770\n4414 6643\n57779 86677\n16605 24886\n19786 29691\n76123 100000\n21192 31803\n22421 33664\n49914 74927\n81804 100000\n2128 3187\n13170 19732\n54084 81153\n50842 76305\n30471 45751\n78772 100000\n91460 100000\n14770 22107\n42195 63361\n95816 100000\n82720 100000\n364 550\n14721 22031\n92194 100000\n60970 91459\n66439 99665\n74376 100000\n21631 32475\n97171 100000\n13471 20178\n92656 100000\n56631 84972\n54777 82165\n3319 4994\n80743 100000\n23406 35134\n78258 100000\n37398 56123\n61573 92372\n70653 100000\n83793 100000\n95551 100000\n19027 28543\n2339 3511\n28407 42648\n92962 100000\n69560 100000\n97119 100000\n16139 24168\n22977 34495\n19821 29747\n56426 84659\n6462 9704\n74599 100000\n38998 58531\n55843 83773\n27615 41441\n95243 100000\n88626 100000\n60635 90971\n90240 100000\n70761 100000\n33624 50476\n26023 39033\n41359 62100\n94366 100000\n59124 88720\n22052 33124\n80828 100000\n34438 51704\n36480 54743\n60580 90888\n33549 50367\n41477 62279\n37020 55556\n87939 100000\n61028 91545\n56669 85027\n37119 55699\n77377 100000\n68349 100000\n78619 100000\n59332 89035\n11431 17107\n14738 22061\n66203 99314\n76315 100000\n58624 87985\n22983 34506\n16343 24471\n25841 38758\n37060 55615\n47420 71222\n83830 100000\n40003 60032\n57442 86166\n17479 26217\n55610 83432\n3040 4569\n38573 57885\n52507 78796\n82557 100000\n39615 59457\n1927 2890\n13045 19550\n1832 2752\n35174 52803\n24072 36140\n99019 100000\n15297 22901\n76564 100000\n33887 50889\n89963 100000\n83797 100000\n5206 7819\n94080 100000\n42323 63564\n6997 10504\n71795 100000\n21482 32241\n421 640\n61857 92792\n98517 100000\n63496 95242\n19422 29145\n84980 100000\n42555 63918\n1775 2665\n30365 45586\n76180 100000\n44674 67077\n91370 100000\n80323 100000\n20990 31497\n35605 53452\n64493 96754\n768 1154\n13047 19552\n54987 82481\n33762 50691\n66121 99188\n36428 54667\n34945 52465\n25464 38207\n77330 100000\n32725 49129\n52537 78839\n7882 11834\n23271 34937\n8271 12404\n74051 100000\n52771 79200\n61071 91609\n28756 43169\n31912 47912\n92342 100000\n32969 49492\n54301 81480\n56800 85211\n68925 100000\n93773 100000\n67553 100000\n95322 100000\n9348 13997\n15004 22464\n18631 27962\n35282 52967\n1480 2217\n12658 18966\n21758 32672\n59019 88569\n42572 63943\n5802 8722\n25446 38180\n13179 19747\n61871 92811\n92891 100000\n54354 81555\n4205 6328\n92688 100000\n71937 100000\n27357 41049\n35279 52963\n2013 3015\n27416 41136\n39919 59917\n80972 100000\n71793 100000\n6573 9872\n84480 100000\n56030 84058\n6616 9931\n48796 73283\n2577 3867\n13514 20240\n69878 100000\n94884 100000\n33581 50413\n75703 100000\n69008 100000\n95676 100000\n96256 100000\n64051 96079\n34531 51843\n89258 100000\n77762 100000\n55136 82715\n80839 100000\n86218 100000\n49547 74397\n67076 100000\n56855 85295\n86723 100000\n97007 100000\n97623 100000\n51939 77943\n71363 100000\n74331 100000\n65435 98154\n30141 45249\n4898 7363\n2570 3856\n38279 57440\n51162 76776\n73109 100000\n53431 80172\n47610 71508\n67409 100000\n42811 64314\n20240 30371\n19166 28760\n29979 44999\n10610 15869\n92860 100000\n54102 81181\n9275 13884\n61819 92731\n54805 82207\n41288 61993\n18855 28291\n67808 100000\n95561 100000\n77470 100000\n6989 10491\n47204 70898\n28783 43206\n7262 10905\n86145 100000\n25809 38712\n13337 19985\n88197 100000\n46471 69797\n21910 32914\n46442 69755\n98697 100000\n89099 100000\n32885 49372\n93329 100000\n88068 100000\n95840 100000\n57454 86187\n82585 100000\n11462 17155\n62496 93762\n96295 100000\n4689 7050\n39688 59566\n69082 100000\n85261 100000\n51314 76999\n89155 100000\n5241 7874\n14603 21857\n36458 54711\n70965 100000\n77273 100000\n14501 21705\n67550 100000\n73134 100000\n18100 27154\n86914 100000\n9215 13795\n6368 9563\n17289 25935\n52072 78149\n21837 32796\n91075 100000\n71304 100000\n93805 100000\n6786 10190\n68432 100000\n60716 91087\n76662 100000\n92166 100000\n81168 100000\n20921 31398\n14917 22327\n17164 25739\n41079 61667\n35437 53198\n91492 100000\n724 1092\n23036 34588\n38529 57817\n92620 100000\n67574 100000\n44154 66314\n24841 37298\n96425 100000\n41881 62895\n35257 52931\n29151 43769\n35849 53807\n91020 100000\n13315 19951\n48006 72096\n63675 95505\n51444 77198\n62641 93978\n32362 48591\n1141 1698\n54470 81720\n37135 55721\n58099 87170\n49394 74160\n1668 2499\n7503 11272\n1163 1731\n86261 100000\n3710 5586\n30765 46198\n99739 100000\n85020 100000\n23968 35978\n82211 100000\n9999 14949\n56094 84153\n40526 60819\n81627 100000\n25299 37975\n25029 37580\n78688 100000\n12592 18866\n5294 7960\n8870 13278\n44309 66546\n20751 31139\n66841 100000\n43636 65533\n38687 58057\n4381 6600\n33511 50309\n77175 100000\n4090 6165\n57460 86196\n54540 81819\n93115 100000\n49674 74577\n48276 72491\n30096 45174\n26887 40341\n57184 85790\n5343 8029\n68609 100000\n65459 98191\n96652 100000\n95502 100000\n21709 32593\n17872 26818\n97676 100000\n85458 100000\n30491 45782\n47050 70666\n12361 18514\n97935 100000\n1325 1966\n99756 100000\n71170 100000\n6933 10411\n86814 100000\n45072 67686\n13900 20802\n39428 59175\n19480 29234\n90070 100000\n41424 62202\n36901 55371\n24484 36765\n51418 77159\n78053 100000\n40222 60358\n69131 100000\n13884 20778\n74980 100000\n343 523\n31079 46673\n31283 46967\n38441 57681\n75324 100000\n83607 100000\n69400 100000\n60193 90321\n27712 41593\n45448 68239\n1857 2789\n5509 8286\n96893 100000\n88087 100000\n91394 100000\n99909 100000\n54498 81759\n93260 100000\n62687 94049\n91786 100000\n24676 37056\n91868 100000\n88769 100000\n93920 100000\n3917 5902\n23913 35893\n7468 11220\n74733 100000\n72982 100000\n26646 39974\n59256 88920\n38630 57968\n45115 67745\n2837 4256\n85781 100000\n42007 63082\n74101 100000\n47570 71445\n27718 41600\n45326 68052\n56888 85341\n50590 75921\n2226 3340\n19438 29169\n15868 23758\n79698 100000\n17244 25864\n58290 87469\n25143 37746\n34441 51709\n44855 67354\n85525 100000\n67174 100000\n60464 90716\n870 1308\n93423 100000\n7727 11606\n6407 9624\n15154 22685\n24439 36689\n2161 3240\n33147 49759\n36601 54928\n95426 100000\n57959 86952\n8301 12450\n66279 99421\n75436 100000\n15024 22494\n69857 100000\n34284 51476\n23740 35632\n68932 100000\n93750 100000\n42647 64055\n39263 58926\n95658 100000\n45214 67890\n98953 100000\n79223 100000\n65174 97759\n11385 17040\n38386 57595\n82217 100000\n92724 100000\n2849 4275\n43340 65102\n8474 12702\n49756 74694\n53527 80323\n89315 100000\n91817 100000\n57963 86957\n1554 2322\n16467 24660\n64344 96521\n22465 33732\n80063 100000\n48195 72373\n30130 45229\n59433 89189\n72410 100000\n75008 100000\n20191 30294\n34961 52490\n6930 10406\n80191 100000\n6498 9760\n78881 100000\n93550 100000\n37521 56307\n65377 98068\n13813 20668\n65889 98841\n30794 46239\n72135 100000\n8244 12365\n56199 84317\n56989 85502\n166 253\n24682 37064\n50072 75153\n47333 71089\n88217 100000\n76631 100000\n69656 100000\n50611 75952\n73656 100000\n66503 99752\n88174 100000\n90913 100000\n26518 39786\n73418 100000\n26286 39438\n76533 100000\n59946 89953\n28949 43465\n91069 100000\n27262 40906\n48872 73393\n65731 98603\n31185 46826\n60643 90983\n4232 6364\n41251 61930\n42246 63440\n21471 32225\n98545 100000\n29180 43812\n42784 64272\n53161 79772\n3804 5726\n32708 49101\n94127 100000\n11065 16565\n28292 42480\n90692 100000\n27585 41401\n50714 76105\n58539 87851\n3466 5223\n25679 38521\n98249 100000\n86413 100000\n65165 97747\n37908 56896\n33826 50791\n70850 100000\n13322 19963\n944 1420\n89377 100000\n88009 100000\n85124 100000\n2239 3357\n31148 46774\n31774 47702\n32665 49042\n49071 73693\n32857 49324\n35451 53220\n54098 81175\n12656 18964\n77835 100000\n1025 1534\n72422 100000\n49302 74028\n20875 31327\n71474 100000\n88806 100000\n82161 100000\n71248 100000\n36945 55441\n34427 51688\n95983 100000\n3365 5064\n76610 100000\n95759 100000\n17758 26647\n78988 100000\n28711 43100\n83970 100000\n88960 100000\n67809 100000\n48953 73517\n5114 7683\n70968 100000\n97045 100000\n55993 84002\n90137 100000\n83148 100000\n80942 100000\n4281 6442\n51023 76573\n73812 100000\n3266 4909\n17117 25659\n49372 74125\n38895 58371\n28519 42819\n32339 48556\n27274 40923\n52368 78580\n94103 100000\n34286 51478\n86994 100000\n74808 100000\n63590 95383\n35152 52770\n65419 98130\n49249 73960\n13834 20702\n44048 66152\n75254 100000\n4526 6806\n37176 55785\n41301 62013\n17349 26025\n12881 19303\n80911 100000\n55911 83876\n69520 100000\n22361 33578\n37985 57012\n694 1050\n52130 78234\n71211 100000\n25647 38477\n22835 34282\n203 310\n82624 100000\n87789 100000\n51830 77785\n59468 89239\n84306 100000\n44858 67360\n99912 100000\n57153 85743\n94338 100000\n26595 39900\n45235 67922\n80283 100000\n82628 100000\n17284 25928\n67374 100000\n14553 21784\n60419 90653\n43060 64683\n75164 100000\n32552 48869\n11373 17022\n27911 41896\n1588 2378\n75268 100000\n45456 68251\n88200 100000\n26482 39731\n61310 91971\n93709 100000\n12673 18988\n50394 75635\n95945 100000\n39972 59990\n3872 5831\n13992 20943\n57019 85553\n43246 64965\n45329 68057\n36281 54446\n32203 48349\n96724 100000\n12385 18549\n77138 100000\n45283 67989\n39351 59059\n82791 100000\n3232 4863\n25830 38743\n35087 52671\n89841 100000\n52894 79381\n61782 92673\n357 543\n64032 96050\n33960 50998\n86214 100000\n27423 41147\n99974 100000\n29507 44289\n87054 100000\n96203 100000\n25313 37995\n97815 100000\n84520 100000\n24199 36328\n81496 100000\n61060 91593\n99328 100000\n5738 8630\n35159 52780\n10670 15962\n50777 76209\n19180 28780\n90238 100000\n98882 100000\n78131 100000\n35085 52669\n52801 79245\n98803 100000\n89351 100000\n37380 56097\n35920 53914\n22613 33959\n84528 100000\n48399 72683\n59641 89494\n68466 100000\n25066 37631\n96245 100000\n76078 100000\n71627 100000\n32099 48194\n82855 100000\n56071 84122\n35399 53137\n2162 3241\n82825 100000\n64260 96389\n90341 100000\n38494 57762\n56859 85301\n34158 51289\n10559 15788\n87443 100000\n36844 55281\n72159 100000\n66506 99756\n78486 100000\n4346 6544\n43042 64660\n77696 100000\n64707 97063\n3093 4651\n87412 100000\n28977 43506\n46861 70382\n80139 100000\n1614 2414\n60295 90462\n9054 13549\n19653 29495\n95847 100000\n22315 33514\n95763 100000\n29498 44277\n74921 100000\n95640 100000\n38956 58463\n57709 86572\n21171 31769\n56442 84687\n94634 100000\n42463 63783\n11841 17734\n99545 100000\n44168 66338\n56533 84823\n12150 18197\n16436 24613\n12479 18696\n5747 8643\n1019 1526\n64936 97405\n29698 44577\n98781 100000\n74755 100000\n59305 88994\n52594 78921\n82417 100000\n44281 66507\n43466 65283\n67405 100000\n8623 12914\n86216 100000\n22598 33937\n99159 100000\n78740 100000\n68265 100000\n94460 100000\n61267 91908\n10869 16269\n41935 62974\n39674 59544\n31014 46573\n91665 100000\n42542 63900\n35718 53608\n50745 76157\n30643 46016\n4255 6401\n75583 100000\n86217 100000\n18038 27061\n53596 80427\n83796 100000\n32515 48816\n62983 94479\n33000 49542\n92721 100000\n84573 100000\n6844 10276\n22446 33704\n9338 13981\n27799 41726\n55472 83222\n24753 37168\n90387 100000\n3709 5584\n75227 100000\n82353 100000\n48065 72187\n48303 72533\n74883 100000\n98842 100000\n77652 100000\n58787 88228\n43502 65337\n41811 62792\n54255 81411\n55689 83548\n57632 86459\n17075 25596\n15603 23368\n95130 100000\n97909 100000\n63257 94885\n39727 59628\n99360 100000\n70856 100000\n7907 11867\n79801 100000\n19925 29896\n4683 7043\n16704 25030\n43099 64743\n31940 47952\n44812 67285\n58754 88181\n15000 22458\n94513 100000\n69764 100000\n19788 29693\n73825 100000\n97504 100000\n13102 19633\n14933 22353\n98149 100000\n41590 62454\n20636 30976\n99015 100000\n83915 100000\n10501 15704\n94225 100000\n95054 100000\n24793 37224\n20514 30796\n43683 65605\n21017 31537\n43234 64946\n44769 67216\n35343 53059\n73057 100000\n64918 97378\n16508 24723\n14298 21401\n52034 78091\n79894 100000\n73788 100000\n3946 5946\n95680 100000\n88850 100000\n36248 54397\n27309 40976\n31797 47737\n38006 57043\n69598 100000\n20275 30426\n42023 63110\n8349 12515\n20563 30867\n78157 100000\n52293 78465\n25309 37989\n24146 36253\n85377 100000\n38959 58467\n12126 18162\n81807 100000\n14924 22338\n88956 100000\n33126 49727\n56794 85201\n30204 45345\n96433 100000\n3568 5373\n56344 84534\n95739 100000\n78748 100000\n39025 58572\n48684 73119\n61431 92153\n5195 7803\n99861 100000\n63280 94917\n78566 100000\n71625 100000\n14365 21503\n56868 85312\n24374 36592\n6390 9595\n55669 83519\n38068 57130\n93694 100000\n34075 51180\n14383 21527\n51374 77090\n73128 100000\n25889 38824\n17207 25807\n50313 75516\n5455 8204\n60978 91472\n18004 27010\n23510 35298\n11238 16820\n77123 100000\n69205 100000\n74927 100000\n11681 17489\n22911 34399\n28352 42567\n50169 75299\n66000 99008\n40151 60256\n60399 90625\n30128 45226\n86675 100000\n78008 100000\n94759 100000\n25366 38067\n42627 64028\n98491 100000\n10642 15918\n34283 51474\n30776 46212\n58233 87384\n78744 100000\n62955 94437\n32167 48294\n59452 89215\n7765 11663\n12457 18661\n92208 100000\n26988 40489\n37936 56939\n16077 24076\n93073 100000\n47349 71113\n72078 100000\n60645 90985\n87142 100000\n93026 100000\n23997 36028\n90086 100000\n64138 96207\n58821 88276\n80521 100000\n45818 68790\n47262 70986\n889 1336\n81228 100000\n95919 100000\n38878 58345\n11656 17448\n94940 100000\n19012 28524\n59129 88726\n43021 64626\n77257 100000\n79359 100000\n42982 64570\n341 520\n22201 33348\n80189 100000\n83277 100000\n15765 23606\n28559 42876\n67783 100000\n23306 34988\n43482 65306\n86579 100000\n14653 21933\n10519 15729\n63945 95913\n68008 100000\n66216 99335\n23829 35767\n4946 7434\n75962 100000\n78615 100000\n838 1262\n77702 100000\n45271 67973\n97857 100000\n80320 100000\n58345 87555\n94756 100000\n59082 88658\n40588 60914\n11981 17954\n75083 100000\n69608 100000\n78581 100000\n47641 71553\n61967 92952\n3128 4702\n22028 33088\n45913 68940\n7235 10870\n27973 41992\n16030 24001\n54707 82059\n99434 100000\n1299 1927\n66148 99229\n84910 100000\n59547 89354\n56552 84851\n60684 91041\n22533 33837\n54578 81871\n37279 55944\n83995 100000\n70150 100000\n80030 100000\n30461 45736\n13391 20066\n48556 72921\n30637 46007\n86338 100000\n78218 100000\n37865 56830\n57350 86030\n77285 100000\n6631 9953\n17093 25622\n52155 78272\n67282 100000\n29588 44414\n52764 79190\n32916 49416\n30850 46325\n89821 100000\n69971 100000\n39822 59766\n9098 13615\n43699 65628\n65013 97519\n46986 70560\n29704 44585\n70756 100000\n87392 100000\n72999 100000\n81046 100000\n67408 100000\n56617 84949\n44666 67066\n58114 87196\n44538 66885\n33679 50559\n6975 10470\n19712 29580\n28302 42495\n40272 60436\n82530 100000\n1339 1987\n18859 28298\n47629 71534\n16390 24537\n20447 30692\n59347 89056\n89209 100000\n67117 100000\n70397 100000\n35081 52664\n85453 100000\n55606 83426\n43118 64775\n92700 100000\n82887 100000\n13252 19857\n65460 98193\n98522 100000\n38741 58140\n19683 29538\n83848 100000\n43589 65467\n3378 5085\n76004 100000\n59723 89619\n68178 100000\n47977 72052\n41422 62200\n35609 53458\n78254 100000\n18343 27521\n34003 51068\n68512 100000\n49555 74407\n69090 100000\n81484 100000\n23664 35519\n98840 100000\n65154 97731\n75828 100000\n24013 36053\n5122 7697\n18956 28441\n92953 100000\n23368 35082\n77655 100000\n15919 23832\n6566 9861\n49999 75049\n67130 100000\n30669 46054\n86782 100000\n45166 67819\n7013 10528\n64173 96259\n58643 88014\n6503 9768\n12047 18048\n67811 100000\n88169 100000\n5347 8033\n62755 94148\n69375 100000\n52884 79367\n93839 100000\n19133 28708\n87184 100000\n77540 100000\n94343 100000\n15736 23558\n20079 30123\n56950 85440\n13972 20916\n98878 100000\n60652 90994\n97482 100000\n98926 100000\n56558 84858\n96657 100000\n51970 77994\n62936 94413\n65687 98533\n46457 69776\n98332 100000\n17865 26807\n60924 91394\n23628 35470\n95750 100000\n29578 44400\n49094 73729\n62906 94368\n81824 100000\n21245 31879\n91280 100000\n73591 100000\n91052 100000\n68904 100000\n28622 42975\n47987 72069\n67519 100000\n13805 20657\n49158 73830\n63816 95715\n28937 43446\n86354 100000\n25883 38817\n51411 77148\n94462 100000\n94380 100000\n76700 100000\n42725 64175\n52574 78892\n85723 100000\n54824 82234\n95906 100000\n87606 100000\n29025 43581\n38685 58054\n72404 100000\n8968 13423\n974 1457\n58041 87074\n29228 43885\n31048 46626\n31945 47960\n70650 100000\n43104 64751\n55277 82922\n94125 100000\n21759 32673\n69936 100000\n11026 16507\n23939 35932\n32288 48479\n73366 100000\n21774 32697\n67814 100000\n57925 86901\n10000 14951\n76168 100000\n26249 39379\n99006 100000\n24917 37413\n21112 31686\n27942 41945\n24381 36603\n10861 16259\n3727 5610\n97095 100000\n75485 100000\n27479 41238\n20200 30309\n16906 25338\n55320 82986\n19791 29697\n77815 100000\n888 1335\n9322 13957\n83419 100000\n43872 65886\n33579 50411\n86709 100000\n20943 31432\n93420 100000\n57464 86202\n928 1394\n86973 100000\n72412 100000\n39561 59376\n41297 62005\n29183 43817\n44183 66362\n43894 65921\n494 744\n23816 35749\n57036 85581\n6263 9406\n8411 12607\n32132 48246\n25977 38961\n49152 73818\n96584 100000\n88117 100000\n4693 7055\n82381 100000\n27186 40791\n3799 5717\n74414 100000\n93475 100000\n40683 61064\n96933 100000\n29461 44222\n25888 38823\n35226 52883\n92813 100000\n25610 38421\n64544 96821\n65541 98311\n32960 49478\n84294 100000\n52924 79425\n95520 100000\n13539 20280\n87605 100000\n6124 9202\n39196 58826\n97802 100000\n50821 76274\n26354 39542\n38873 58336\n96276 100000\n31721 47612\n18885 28331\n95787 100000\n1055 1576\n78386 100000\n4157 6259\n70 107\n27210 40832\n21937 32953\n62723 94101\n64693 97041\n15053 22534\n18659 28001\n94017 100000\n8351 12518\n79432 100000\n73659 100000\n5783 8695\n2694 4046\n79452 100000\n83221 100000\n4129 6220\n77076 100000\n22101 33199\n54263 81422\n86199 100000\n37163 55764\n55280 82926\n88132 100000\n46473 69800\n39371 59093\n25387 38100\n48482 72810\n856 1289\n29964 44977\n34288 51481\n76189 100000\n18520 27792\n10934 16366\n15121 22634\n40541 60843\n66813 100000\n56927 85402\n72158 100000\n14842 22215\n19681 29535\n67430 100000\n75195 100000\n10777 16134\n24340 36538\n749 1127\n14934 22355\n78360 100000\n36727 55107\n35136 52745\n12237 18320\n91976 100000\n77357 100000\n22913 34403\n5025 7550\n13386 20058\n38621 57954\n14856 22237\n34989 52528\n55210 82825\n34596 51937\n95404 100000\n79447 100000\n55270 82913\n19489 29249\n71929 100000\n57569 86364\n59736 89639\n64119 96178\n63871 95799\n92349 100000\n54856 82284\n67569 100000\n55884 83835\n27449 41191\n8373 12550\n61429 92149\n22999 34530\n82843 100000\n80295 100000\n80370 100000\n87281 100000\n26591 39894\n28565 42885\n18318 27485\n43895 65922\n91091 100000\n73400 100000\n36140 54238\n69293 100000\n7106 10665\n88665 100000\n4115 6201\n18982 28480\n22842 34291\n10867 16267\n31857 47829\n20412 30633\n35905 53894\n53902 80884\n79623 100000\n35296 52986\n43939 65989\n17446 26172\n11294 16906\n37974 56996\n28249 42413\n22956 34464\n49617 74494\n10253 15330\n71552 100000\n321 489\n741 1115\n25673 38514\n36738 55120\n80395 100000\n92623 100000\n87479 100000\n23411 35142\n29243 43906\n7969 11956\n57524 86294\n64026 96039\n53999 81029\n43941 65992\n63662 95489\n77082 100000\n13567 20318\n4396 6619\n64632 96948\n59293 88977\n99705 100000\n65004 97507\n11932 17878\n60889 91345\n6688 10041\n58938 88450\n51593 77426\n62945 94425\n9147 13691\n45397 68162\n76494 100000\n62205 93319\n43148 64818\n61273 91916\n39678 59550\n81910 100000\n97200 100000\n18298 27453\n15283 22879\n8081 12119\n17573 26355\n78597 100000\n4904 7372\n27516 41300\n30528 45841\n77628 100000\n69087 100000\n3688 5552\n68750 100000\n84518 100000\n27852 41805\n71544 100000\n55936 83913\n69932 100000\n73064 100000\n9927 14845\n99208 100000\n7855 11793\n27619 41448\n62721 94099\n62271 93421\n46250 69451\n97279 100000\n23759 35661\n92269 100000\n81178 100000\n51552 77359\n82455 100000\n57492 86248\n87357 100000\n6698 10056\n13938 20861\n32508 48807\n6433 9662\n86621 100000\n71355 100000\n4935 7415\n29993 45018\n37070 55628\n42367 63633\n5531 8322\n64089 96135\n1800 2702\n17533 26300\n43114 64767\n9512 14240\n32060 48137\n34487 51774\n60658 91003\n59927 89923\n59342 89051\n93059 100000\n65911 98873\n71989 100000\n56152 84245\n78659 100000\n13270 19885\n77568 100000\n38740 58139\n60456 90706\n13036 19535\n37351 56051\n16709 25035\n77189 100000\n46796 70280\n39715 59607\n90456 100000\n32344 48564\n81583 100000\n3944 5943\n68733 100000\n58889 88386\n91003 100000\n16311 24426\n72907 100000\n81882 100000\n76678 100000\n62994 94496\n12603 18885\n6172 9274\n62145 93230\n78641 100000\n50721 76116\n29554 44364\n24246 36391\n11928 17873\n6096 9161\n87599 100000\n38288 57452\n76178 100000\n30245 45408\n42793 64287\n77297 100000\n83412 100000\n14141 21171\n22732 34128\n31408 47159\n27847 41797\n84088 100000\n63691 95531\n44438 66737\n33128 49731\n60544 90833\n85829 100000\n52450 78707\n28748 43155\n27534 41326\n6807 10219\n83285 100000\n79558 100000\n41661 62561\n75245 100000\n84682 100000\n69899 100000\n89342 100000\n85692 100000\n98299 100000\n46783 70264\n83291 100000\n69325 100000\n61884 92829\n36834 55265\n83993 100000\n83698 100000\n94719 100000\n14482 21674\n64797 97195\n68350 100000\n76829 100000\n25605 38414\n23255 34914\n42322 63562\n57677 86523\n9434 14127\n76691 100000\n14942 22367\n69425 100000\n61709 92566\n19989 29985\n39406 59144\n64365 96547\n4844 7276\n30020 45063\n9792 14646\n2007 3007\n19651 29491\n66152 99234\n71608 100000\n24488 36772\n82278 100000\n80430 100000\n13483 20193\n99808 100000\n21549 32338\n42745 64212\n30804 46254\n52915 79412\n33492 50277\n9872 14768\n29853 44804\n18851 28287\n99811 100000\n26427 39652\n76230 100000\n238 361\n6618 9933\n34967 52498\n51060 76628\n2833 4251\n10960 16406\n14513 21723\n25045 37601\n18795 28206\n14704 22009\n85130 100000\n71437 100000\n27061 40603\n86489 100000\n65557 98336\n86240 100000\n74525 100000\n23941 35935\n98087 100000\n37761 56672\n17384 26075\n48736 73194\n22287 33478\n53869 80832\n56847 85284\n45123 67758\n2411 3621\n64079 96122\n45772 68723\n6691 10046\n52683 79061\n96938 100000\n82517 100000\n94758 100000\n47477 71308\n76605 100000\n29199 43842\n79506 100000\n69366 100000\n57133 85715\n69000 100000\n19321 28985\n82917 100000\n79263 100000\n49248 73959\n57223 85847\n25851 38773\n75707 100000\n64937 97407\n47936 71995\n74795 100000\n76913 100000\n49442 74236\n82051 100000\n47536 71396\n89068 100000\n3729 5612\n39757 59673\n9549 14291\n5153 7741\n33850 50830\n51944 77951\n91653 100000\n85415 100000\n8778 13144\n66294 99445\n79962 100000\n82366 100000\n94228 100000\n11586 17339\n32059 48136\n48127 72271\n16644 24941\n58123 87213\n10252 15328\n25663 38500\n76513 100000\n39776 59701\n64012 96019\n37867 56832\n98254 100000\n89267 100000\n66301 99455\n88313 100000\n31948 47965\n53145 79751\n65151 97727\n28167 42286\n25001 37539\n10619 15883\n94589 100000\n41845 62843\n84227 100000\n63268 94900\n67862 100000\n61580 92381\n80222 100000\n81391 100000\n34426 51687\n43066 64693\n51446 77201\n97444 100000\n51183 76807\n14056 21037\n70234 100000\n31058 46641\n55950 83936\n26701 40060\n30382 45610\n90347 100000\n60628 90961\n72029 100000\n76287 100000\n71341 100000\n2868 4307\n32887 49374\n22048 33118\n55278 82924\n20498 30770\n65395 98091\n54045 81098\n49763 74706\n94559 100000\n94302 100000\n98371 100000\n55332 83006\n72171 100000\n63329 94991\n48383 72656\n6479 9730\n77627 100000\n77006 100000\n32473 48759\n2990 4499\n57829 86755\n94030 100000\n5734 8625\n96620 100000\n64518 96785\n1911 2864\n17115 25655\n13624 20394\n27592 41410\n25308 37988\n97411 100000\n57290 85941\n71035 100000\n77419 100000\n73302 100000\n95018 100000\n28429 42685\n62636 93970\n75532 100000\n24300 36470\n72758 100000\n14078 21072\n69005 100000\n31223 46882\n74236 100000\n32875 49356\n93915 100000\n59101 88687\n71162 100000\n47084 70716\n8192 12291\n1335 1980\n71117 100000\n33217 49861\n87504 100000\n64395 96594\n48569 72943\n26001 38998\n65672 98513\n61755 92634\n44195 66379\n47051 70667\n66861 100000\n58902 88405\n10097 15099\n36832 55262\n31999 48044\n3461 5217\n67512 100000\n17896 26856\n29299 43983\n74048 100000\n74900 100000\n88280 100000\n88430 100000\n48861 73376\n39663 59528\n38658 58010\n75873 100000\n33518 50318\n64537 96811\n63567 95348\n69862 100000\n73930 100000\n24724 37121\n38465 57717\n96642 100000\n25016 37561\n11634 17413\n87153 100000\n76897 100000\n8718 13057\n11627 17402\n78845 100000\n68321 100000\n14342 21469\n55356 83039\n29053 43621\n57084 85648\n90842 100000\n92740 100000\n90279 100000\n11288 16899\n43181 64868\n24506 36799\n56689 85055\n96087 100000\n94027 100000\n40881 61370\n72285 100000\n64692 97040\n61657 92492\n9103 13623\n93150 100000\n83618 100000\n21067 31613\n56354 84548\n55279 82925\n83557 100000\n65524 98289\n34449 51722\n39798 59729\n54457 81699\n21951 32971\n71955 100000\n67460 100000\n20574 30886\n52641 78996\n33515 50315\n62765 94164\n29610 44444\n666 1009\n74174 100000\n14574 21816\n60633 90968\n16796 25165\n14853 22232\n25524 38296\n18059 27093\n4897 7361\n38555 57857\n64341 96515\n59962 89975\n28712 43101\n9894 14799\n23097 34681\n79907 100000\n83643 100000\n11941 17894\n16182 24230\n11931 17877\n88745 100000\n32235 48396\n23231 34878\n29110 43706\n18518 27788\n99097 100000\n1804 2708\n827 1244\n47240 70952\n56719 85100\n88238 100000\n20740 31123\n70908 100000\n81735 100000\n33132 49739\n95797 100000\n33959 50996\n67418 100000\n52345 78547\n60886 91339\n40514 60799\n85402 100000\n29967 44982\n8025 12040\n1392 2081\n66437 99661\n72464 100000\n22146 33267\n26632 39955\n97922 100000\n26077 39115\n93874 100000\n65771 98661\n22907 34392\n1917 2875\n62631 93963\n63 95\n91541 100000\n20767 31165\n6882 10336\n42301 63524\n31168 46803\n56757 85149\n84581 100000\n61504 92268\n5901 8873\n81235 100000\n91208 100000\n13702 20508\n32937 49446\n23037 34590\n22904 34387\n50016 75070\n38295 57463\n96691 100000\n9181 13745\n40407 60639\n73394 100000\n18358 27544\n48077 72203\n12381 18544\n88352 100000\n35914 53907\n40430 60677\n310 471\n63892 95829\n67516 100000\n58329 87534\n450 684\n76701 100000\n89748 100000\n51674 77554\n68161 100000\n51785 77719\n97845 100000\n51560 77372\n72637 100000\n93140 100000\n62673 94027\n97124 100000\n960 1438\n896 1347\n6047 9081\n93646 100000\n70815 100000\n91109 100000\n3071 4616\n54177 81290\n38666 58023\n61714 92574\n49156 73826\n95469 100000\n23726 35612\n74311 100000\n60668 91016\n12248 18338\n11030 16512\n94616 100000\n77318 100000\n648 982\n98817 100000\n14303 21408\n69821 100000\n91551 100000\n74323 100000\n52203 78337\n19859 29799\n68332 100000\n94922 100000\n89642 100000\n93553 100000\n88881 100000\n560 845\n83027 100000\n29177 43808\n83947 100000\n96106 100000\n43190 64880\n16870 25282\n34909 52414\n65663 98498\n36936 55428\n96900 100000\n15922 23835\n44546 66896\n48001 72089\n14685 21978\n35855 53816\n15697 23504\n6266 9411\n83688 100000\n49179 73860\n71120 100000\n53379 80086\n55079 82621\n5866 8822\n64404 96610\n3277 4926\n66746 100000\n80169 100000\n37401 56128\n91348 100000\n99034 100000\n3874 5834\n27185 40789\n15097 22602\n57921 86895\n12266 18366\n12407 18585\n22473 33747\n75225 100000\n14211 21279\n45998 69065\n17542 26312\n83601 100000\n5071 7621\n75135 100000\n1369 2041\n25743 38616\n44081 66201\n56597 84917\n42866 64390\n15469 23176\n18274 27417\n66391 99591\n64558 96840\n88319 100000\n292 440\n71784 100000\n44437 66735\n86951 100000\n62620 93950\n92885 100000\n57062 85619\n72101 100000\n14929 22346\n45489 68304\n65453 98182\n16187 24237\n60757 91148\n30372 45594\n60592 90906\n41445 62232\n76417 100000\n18706 28074\n26702 40061\n99744 100000\n83025 100000\n53122 79715\n57514 86279\n22047 33117\n13441 20135\n96414 100000\n59400 89138\n96053 100000\n56557 84857\n9994 14941\n14889 22287\n17626 26440\n88067 100000\n91375 100000\n41365 62110\n32412 48665\n2070 3099\n37743 56644\n64780 97171\n48009 72101\n94243 100000\n20865 31312\n8617 12904\n77881 100000\n24470 36740\n54523 81795\n31917 47920\n17416 26123\n79526 100000\n90910 100000\n78429 100000\n92658 100000\n99282 100000\n91823 100000\n27832 41774\n63920 95874\n37793 56722\n47111 70756\n22810 34241\n40306 60486\n52866 79341\n3645 5489\n12784 19157\n35065 52643\n47980 72057\n34255 51430\n57402 86111\n50411 75658\n43940 65991\n37557 56367\n25092 37670\n87256 100000\n39000 58533\n18861 28300\n85146 100000\n95220 100000\n31052 46633\n54430 81657\n96625 100000\n49994 75041\n99622 100000\n3744 5634\n61025 91542\n96647 100000\n54170 81281\n40711 61109\n62949 94429\n85689 100000\n17815 26731\n76386 100000\n50301 75496\n84285 100000\n75224 100000\n64729 97095\n34030 51109\n32165 48290\n77998 100000\n5572 8383\n79347 100000\n15434 23117\n26827 40253\n3013 4530\n50025 75083\n31053 46634\n97763 100000\n54343 81542\n33860 50847\n3397 5114\n52850 79317\n72100 100000\n33056 49629\n83043 100000\n77763 100000\n27780 41698\n99963 100000\n86307 100000\n26109 39159\n29095 43682\n59989 90011\n6360 9550\n2360 3544\n17955 26942\n5535 8329\n3517 5297\n70451 100000\n91248 100000\n56519 84798\n27153 40741\n16590 24860\n38425 57657\n83324 100000\n96869 100000\n96781 100000\n55021 82526\n10797 16160\n28263 42438\n45561 68406\n4322 6505\n65533 98300\n90287 100000\n48588 72973\n28683 43063\n19113 28677\n61246 91877\n19687 29544\n3827 5758\n91841 100000\n50386 75623\n9045 13537\n64125 96187\n76486 100000\n15257 22841\n8681 13003\n67859 100000\n99966 100000\n61948 92925\n96100 100000\n9854 14738\n91649 100000\n42768 64246\n1303 1931\n23843 35787\n64836 97252\n40074 60144\n97115 100000\n30280 45462\n72283 100000\n51454 77212\n25223 37868\n4684 7044\n58423 87674\n14150 21185\n84912 100000\n8374 12551\n74628 100000\n89203 100000\n74705 100000\n81951 100000\n89802 100000\n29714 44599\n4630 6964\n84341 100000\n93124 100000\n95891 100000\n64381 96573\n54553 81837\n10989 16450\n46759 70228\n408 619\n90843 100000\n51953 77967\n14182 21233\n77752 100000\n88548 100000\n93261 100000\n1877 2816\n40489 60764\n52588 78911\n2539 3811\n33610 50454\n39812 59752\n32275 48460\n79348 100000\n9853 14736\n75047 100000\n22091 33181\n57608 86421\n86722 100000\n19466 29213\n6906 10371\n58979 88507\n93368 100000\n84917 100000\n43305 65052\n43888 65913\n54481 81736\n3935 5930\n78535 100000\n61286 91934\n15550 23291\n10369 15502\n48708 73156\n82865 100000\n1723 2587\n63059 94592\n14725 22039\n81793 100000\n85872 100000\n74099 100000\n21088 31647\n55909 83874\n58724 88140\n21142 31726\n17375 26063\n51524 77317\n75576 100000\n81466 100000\n12487 18706\n78015 100000\n67038 100000\n61546 92331\n40834 61295\n73986 100000\n28644 43004\n94846 100000\n60492 90760\n87063 100000\n41941 62984\n58399 87639\n87115 100000\n49784 74737\n58555 87877\n79181 100000\n3124 4696\n88562 100000\n14430 21598\n48728 73185\n30493 45785\n54095 81171\n7479 11237\n76588 100000\n23713 35594\n27222 40850\n53734 80632\n59197 88829\n12817 19206\n13058 19570\n69614 100000\n16387 24534\n28809 43247\n55024 82530\n62398 93612\n68680 100000\n46875 70401\n5139 7720\n60 90\n82369 100000\n17856 26794\n24148 36255\n48730 73187\n61455 92189\n6443 9675\n62534 93822\n40652 61012\n13547 20291\n79596 100000\n71984 100000\n69701 100000\n99420 100000\n26839 40273\n6416 9637\n93224 100000\n1281 1901\n95522 100000\n67104 100000\n99709 100000\n68088 100000\n8741 13090\n97855 100000\n67324 100000\n5388 8099\n91405 100000\n51179 76799\n69239 100000\n9591 14349\n50184 75322\n67697 100000\n79179 100000\n83088 100000\n67491 100000\n45745 68683\n29999 45028\n71525 100000\n1185 1763\n7671 11520\n80062 100000\n30893 46389\n88402 100000\n75423 100000\n64364 96546\n56048 84086\n61461 92198\n84982 100000\n71088 100000\n17979 26973\n82900 100000\n94118 100000\n66077 99121\n96351 100000\n90914 100000\n73729 100000\n86149 100000\n20939 31425\n43430 65233\n54342 81541\n12398 18572\n25936 38898\n78344 100000\n31417 47172\n95968 100000\n70277 100000\n80226 100000\n21365 32064\n25076 37646\n12867 19280\n49933 74952\n50645 76004\n55185 82791\n32582 48913\n31401 47147\n99801 100000\n76032 100000\n60461 90712\n11468 17165\n78667 100000\n77031 100000\n99229 100000\n11412 17077\n56309 84478\n20635 30974\n73473 100000\n28993 43531\n8605 12888\n83177 100000\n25047 37604\n77127 100000\n18106 27165\n3219 4842\n21668 32534\n40182 60301\n67588 100000\n80993 100000\n90483 100000\n89995 100000\n44171 66342\n78493 100000\n80995 100000\n35283 52969\n72399 100000\n25949 38915\n55397 83104\n17810 26723\n89602 100000\n70532 100000\n9925 14842\n66850 100000\n54726 82087\n29627 44470\n95435 100000\n12558 18819\n86280 100000\n19809 29728\n45576 68427\n99429 100000\n44659 67056\n45261 67961\n4236 6371\n20735 31117\n19886 29838\n21406 32128\n67602 100000\n31536 47344\n7958 11941\n15782 23634\n32503 48801\n8312 12465\n20330 30508\n63439 95152\n45805 68771\n86969 100000\n88451 100000\n24811 37252\n57015 85545\n84089 100000\n68388 100000\n87984 100000\n35109 52705\n29797 44718\n81298 100000\n68639 100000\n44197 66381\n76825 100000\n60306 90479\n56838 85271\n33182 49808\n19072 28615\n88129 100000\n48790 73275\n82419 100000\n8407 12602\n86586 100000\n71322 100000\n80500 100000\n74081 100000\n81436 100000\n42754 64226\n17890 26844\n46258 69461\n87106 100000\n7214 10836\n73905 100000\n16299 24407\n48473 72796\n67274 100000\n25762 38647\n62040 93067\n35773 53692\n17524 26285\n49332 74071\n10071 15057\n11898 17825\n27595 41415\n132 202\n22610 33953\n61982 92975\n23581 35398\n88858 100000\n85147 100000\n44351 66611\n32024 48081\n99266 100000\n16951 25408\n72022 100000\n3779 5686\n57626 86449\n50822 76276\n76614 100000\n37924 56919\n56896 85355\n77301 100000\n24783 37212\n97628 100000\n43078 64711\n75171 100000\n81893 100000\n77576 100000\n85481 100000\n64127 96190\n41618 62499\n93031 100000\n430 656\n82451 100000\n78995 100000\n40880 61368\n95856 100000\n3311 4979\n65674 98515\n76704 100000\n47734 71691\n36695 55059\n71921 100000\n63182 94775\n87255 100000\n10051 15023\n57911 86880\n98348 100000\n57438 86161\n77824 100000\n69793 100000\n21970 33003\n8371 12546\n98811 100000\n94426 100000\n13415 20099\n37919 56912\n24544 36857\n18524 27798\n14550 21779\n2223 3334\n83981 100000\n62024 93037\n27469 41223\n28368 42593\n82541 100000\n44942 67489\n90209 100000\n88840 100000\n64044 96068\n48958 73526\n88653 100000\n39805 59742\n18373 27569\n53211 79841\n49889 74895\n33865 50854\n35541 53351\n68942 100000\n99472 100000\n96711 100000\n24889 37367\n53454 80205\n29911 44895\n22525 33824\n96922 100000\n61519 92290\n16744 25088\n24562 36883\n96704 100000\n9223 13808\n5481 8247\n27509 41289\n75126 100000\n28179 42306\n86271 100000\n6718 10085\n39639 59491\n24730 37128\n85041 100000\n27828 41770\n17399 26097\n55701 83565\n18050 27078\n19389 29089\n34346 51568\n57469 86209\n48040 72151\n20036 30055\n66115 99178\n33334 50041\n50973 76499\n16166 24206\n69101 100000\n24909 37401\n32592 48929\n54219 81356\n62865 94313\n53634 80481\n11415 17080\n95688 100000\n20402 30619\n86084 100000\n31773 47700\n93230 100000\n97114 100000\n60881 91331\n18525 27800\n4018 6060\n62848 94289\n20183 30280\n97312 100000\n73233 100000\n89533 100000\n90015 100000\n73716 100000\n9753 14587\n7600 11411\n24321 36506\n9067 13569\n17452 26181\n9171 13729\n90976 100000\n4698 7063\n29466 44231\n55700 83564\n2798 4204\n79136 100000\n43687 65612\n87840 100000\n44457 66761\n49007 73599\n54722 82082\n71899 100000\n92485 100000\n92156 100000\n61353 92037\n61750 92629\n62855 94299\n58583 87920\n65214 97816\n2313 3472\n71298 100000\n81230 100000\n97329 100000\n69705 100000\n88329 100000\n31589 47425\n57597 86403\n74028 100000\n69772 100000\n96726 100000\n39588 59421\n16132 24159\n35233 52894\n60824 91246\n43994 66072\n84922 100000\n79984 100000\n69749 100000\n36500 54777\n58548 87866\n38189 57311\n6019 9040\n54770 82155\n17453 26182\n1587 2376\n47622 71526\n75429 100000\n89920 100000\n91971 100000\n8946 13391\n41380 62134\n73352 100000\n40841 61309\n42532 63885\n33958 50994\n6441 9673\n62676 94031\n8520 12764\n15474 23182\n63369 95050\n16591 24862\n78823 100000\n39331 59030\n56593 84909\n24696 37083\n62509 93780\n16417 24581\n25877 38810\n11838 17729\n89246 100000\n79120 100000\n68113 100000\n64624 96937\n76770 100000\n10299 15400\n31396 47138\n66176 99273\n91748 100000\n29682 44552\n97993 100000\n85426 100000\n69529 100000\n24233 36374\n99822 100000\n59343 89052\n33282 49964\n41629 62514\n32720 49121\n49584 74445\n92096 100000\n92121 100000\n85694 100000\n3448 5194\n90144 100000\n72031 100000\n6550 9838\n79173 100000\n18112 27174\n49416 74195\n88568 100000\n85448 100000\n59262 88928\n54042 81094\n71310 100000\n1688 2530\n79448 100000\n49161 73835\n20365 30561\n30851 46326\n54003 81036\n22521 33820\n86098 100000\n25325 38011\n1639 2454\n77184 100000\n38996 58528\n46028 69107\n50508 75801\n94561 100000\n31184 46825\n85399 100000\n26388 39594\n56814 85234\n21841 32803\n86395 100000\n69290 100000\n42263 63464\n15360 23004\n43922 65964\n35408 53151\n79068 100000\n28900 43390\n88651 100000\n86677 100000\n68641 100000\n91326 100000\n76022 100000\n81058 100000\n16536 24775\n12164 18215\n98565 100000\n69639 100000\n59472 89245\n80989 100000\n36156 54262\n16185 24235\n61530 92307\n4480 6739\n68629 100000\n22857 34312\n51045 76607\n15723 23541\n1259 1870\n97711 100000\n14388 21534\n44751 67190\n3784 5695\n71228 100000\n70834 100000\n91764 100000\n66707 100000\n10249 15322\n77372 100000\n50031 75091\n99842 100000\n12215 18288\n78083 100000\n14718 22028\n30322 45522\n52378 78595\n46404 69694\n43614 65499\n69620 100000\n34474 51755\n87394 100000\n35214 52867\n20294 30454\n22876 34340\n29665 44525\n13719 20530\n38797 58230\n68156 100000\n80060 100000\n12483 18701\n57934 86914\n99209 100000\n66676 100000\n23925 35913\n35925 53922\n52013 78061\n87935 100000\n80816 100000\n59712 89603\n67052 100000\n8772 13137\n25911 38856\n94891 100000\n56140 84225\n72254 100000\n63202 94804\n65604 98407\n15847 23725\n37115 55692\n68646 100000\n42723 64171\n23263 34926\n86086 100000\n92157 100000\n10842 16228\n71485 100000\n6410 9627\n9024 13505\n51553 77361\n26178 39271\n47089 70725\n96290 100000\n83391 100000\n65428 98142\n62690 94055\n29071 43647\n79655 100000\n13326 19969\n64849 97271\n7068 10613\n95697 100000\n80454 100000\n51864 77834\n41505 62325\n26470 39715\n10237 15306\n59859 89818\n81971 100000\n87265 100000\n3545 5336\n79577 100000\n6188 9298\n92118 100000\n70437 100000\n19767 29661\n43601 65482\n64418 96636\n21996 33038\n71373 100000\n35852 53812\n90250 100000\n79565 100000\n12440 18638\n25381 38091\n94957 100000\n81132 100000\n21387 32097\n90501 100000\n7044 10577\n99952 100000\n18731 28111\n28777 43199\n9460 14162\n96607 100000\n88491 100000\n28521 42821\n2059 3083\n72506 100000\n45468 68270\n85074 100000\n41616 62497\n94907 100000\n47956 72021\n25920 38872\n26554 39842\n17627 26442\n11535 17265\n86113 100000\n8014 12021\n78559 100000\n90734 100000\n50604 75942\n18561 27858\n10023 14983\n75597 100000\n40625 60973\n45346 68085\n23043 34601\n22922 34414\n78390 100000\n24328 36516\n34605 51947\n27148 40735\n41058 61632\n42881 64414\n97096 100000\n41644 62538\n87453 100000\n58324 87527\n82334 100000\n70033 100000\n56711 85088\n91611 100000\n31767 47689\n8685 13008\n25718 38575\n56695 85062\n93621 100000\n77884 100000\n3970 5987\n53044 79597\n83932 100000\n95326 100000\n63545 95314\n4738 7125\n22544 33856\n61266 91907\n67932 100000\n85005 100000\n88775 100000\n98448 100000\n65130 97692\n38405 57626\n35586 53421\n49373 74126\n89015 100000\n455 690\n80128 100000\n77926 100000\n76370 100000\n53358 80055\n22251 33427\n99199 100000\n59542 89347\n78228 100000\n52088 78174\n11666 17464\n12523 18766\n34273 51459\n65527 98293\n65749 98628\n70056 100000\n39936 59941\n37762 56674\n50955 76470\n51516 77304\n4030 6078\n91073 100000\n59499 89284\n81772 100000\n33543 50359\n23819 35753\n60929 91403\n71666 100000\n47950 72014\n41949 62995\n74465 100000\n96643 100000\n53405 80131\n87262 100000\n78804 100000\n7234 10868\n503 759\n31777 47705\n65949 98933\n50791 76229\n64779 97169\n52665 79032\n81174 100000\n36474 54735\n98490 100000\n27151 40739\n60102 90185\n1106 1647\n44924 67460\n29142 43755\n74861 100000\n90597 100000\n42934 64494\n11082 16590\n51135 76739\n29075 43652\n95730 100000\n10079 15069\n96676 100000\n71200 100000\n58580 87916\n70833 100000\n90798 100000\n58857 88333\n52454 78713\n24067 36132\n7526 11307\n7085 10638\n44453 66756\n14769 22106\n87444 100000\n57718 86586\n87610 100000\n95632 100000\n98460 100000\n31534 47342\n24437 36685\n24528 36832\n83070 100000\n2790 4191\n48048 72162\n97381 100000\n35112 52709\n96134 100000\n88860 100000\n14600 21853\n61148 91726\n1625 2432\n61278 91923\n38181 57300\n31309 47004\n5949 8940\n90270 100000\n22283 33472\n44866 67373\n29351 44064\n58626 87988\n73459 100000\n428 653\n37809 56746\n58254 87416\n51443 77196\n54905 82355\n46838 70349\n53345 80037\n17752 26638\n77742 100000\n31678 47550\n30401 45642\n79234 100000\n48914 73458\n75333 100000\n36827 55252\n69286 100000\n99697 100000\n2753 4136\n41475 62277\n81680 100000\n42386 63665\n40653 61013\n4881 7333\n44954 67506\n47219 70918\n95455 100000\n88899 100000\n28390 42627\n88082 100000\n19417 29138\n80309 100000\n27651 41497\n15614 23385\n15421 23094\n47274 71002\n58197 87324\n52996 79528\n82065 100000\n47144 70806\n66740 100000\n98466 100000\n5798 8716\n45440 68226\n75261 100000\n7180 10778\n37655 56513\n12298 18412\n54305 81485\n56474 84732\n30584 45925\n27178 40778\n25061 37625\n51375 77091\n1079 1609\n86777 100000\n86018 100000\n88189 100000\n14623 21887\n31931 47941\n13908 20813\n75399 100000\n41302 62014\n31241 46905\n79407 100000\n19305 28961\n57605 86417\n41213 61876\n40507 60787\n26437 39666\n86935 100000\n73322 100000\n45441 68228\n70175 100000\n82532 100000\n1714 2571\n77022 100000\n79036 100000\n17255 25882\n69168 100000\n36926 55410\n81327 100000\n51727 77629\n17996 26999\n76029 100000\n86259 100000\n80773 100000\n9210 13788\n16042 24022\n30356 45572\n47796 71782\n15435 23119\n91331 100000\n14422 21585\n66093 99143\n67647 100000\n12616 18904\n36299 54473\n84135 100000\n47523 71375\n90186 100000\n45764 68712\n24756 37171\n95488 100000\n3203 4819\n99879 100000\n37239 55884\n4563 6865\n8258 12385\n10548 15771\n44971 67532\n36157 54264\n10374 15510\n12641 18943\n5743 8637\n73038 100000\n44635 67024\n10973 16425\n14242 21323\n77000 100000\n22917 34407\n7060 10601\n43973 66036\n21397 32114\n34845 52317\n27396 41109\n22167 33294\n55973 83973\n74844 100000\n70542 100000\n41018 61572\n7318 10991\n30591 45935\n80156 100000\n8012 12018\n88080 100000\n46419 69717\n90136 100000\n44757 67198\n56216 84341\n30343 45553\n5411 8134\n87496 100000\n41155 61788\n41077 61664\n39907 59902\n41903 62932\n17448 26175\n467 708\n11036 16520\n329 502\n26735 40112\n71595 100000\n46086 69196\n68669 100000\n54502 81766\n61802 92704\n83443 100000\n35753 53660\n27109 40678\n92432 100000\n94628 100000\n51062 76631\n25399 38116\n18608 27928\n64045 96069\n7269 10916\n8240 12360\n83985 100000\n35813 53754\n12780 19150\n61867 92806\n69174 100000\n86070 100000\n6695 10052\n77879 100000\n87346 100000\n71604 100000\n44177 66351\n58854 88329\n42831 64341\n65209 97811\n50734 76139\n32626 48985\n27251 40892\n25716 38572\n21839 32799\n9907 14818\n6365 9557\n42978 64562\n1713 2570\n10589 15837\n45037 67632\n6381 9584\n90183 100000\n1987 2978\n93563 100000\n9662 14447\n77515 100000\n32543 48854\n8364 12536\n86652 100000\n14678 21969\n50723 76120\n24491 36776\n91800 100000\n4026 6072\n50028 75088\n62802 94217\n23278 34948\n15713 23528\n76603 100000\n82965 100000\n39616 59459\n36880 55337\n58636 88004\n53680 80547\n84513 100000\n90991 100000\n17430 26145\n67095 100000\n67616 100000\n5030 7557\n4797 7209\n27163 40755\n65140 97709\n87503 100000\n37679 56550\n12596 18874\n91254 100000\n7274 10924\n9679 14472\n66591 99880\n95496 100000\n83931 100000\n63859 95778\n72508 100000\n26923 40394\n89116 100000\n26012 39015\n42818 64326\n53312 79987\n97415 100000\n44299 66531\n85215 100000\n98499 100000\n80436 100000\n49238 73943\n74760 100000\n5394 8109\n78287 100000\n22981 34502\n63191 94788\n54546 81827\n81808 100000\n78880 100000\n15305 22914\n73198 100000\n4808 7223\n56813 85232\n35697 53576\n76326 100000\n42282 63495\n38349 57545\n39808 59746\n19339 29012\n90717 100000\n36555 54857\n26164 39247\n88350 100000\n88608 100000\n32381 48617\n78190 100000\n38165 57275\n34148 51279\n23113 34706\n44819 67295\n45434 68217\n34050 51141\n42680 64109\n77981 100000\n48937 73494\n70042 100000\n35418 53168\n64942 97416\n12168 18221\n59591 89420\n56470 84727\n10653 15933\n6552 9840\n30107 45191\n95086 100000\n86862 100000\n74880 100000\n72919 100000\n40390 60615\n45885 68896\n71510 100000\n80267 100000\n5953 8947\n20214 30332\n35284 52970\n53583 80405\n63403 95099\n46870 70394\n7378 11083\n75601 100000\n26593 39896\n75798 100000\n54165 81274\n90833 100000\n36113 54201\n5463 8216\n16291 24396\n4771 7175\n97634 100000\n82400 100000\n11015 16489\n49769 74715\n81681 100000\n61351 92034\n60076 90146\n97117 100000\n50993 76529\n49525 74361\n75420 100000\n45839 68822\n66837 100000\n18457 27700\n13343 19993\n61418 92133\n97865 100000\n43487 65315\n41037 61603\n52916 79413\n16018 23982\n78759 100000\n20704 31072\n6527 9803\n28121 42215\n62507 93777\n49930 74947\n37229 55870\n30018 45059\n73934 100000\n17294 25944\n52213 78351\n64046 96071\n44830 67313\n6435 9665\n63213 94821\n32220 48374\n58718 88130\n93525 100000\n34986 52523\n83615 100000\n98199 100000\n73722 100000\n44507 66838\n47975 72049\n11575 17323\n62058 93095\n42407 63700\n93235 100000\n41631 62517\n18222 27339\n12228 18308\n66884 100000\n7431 11165\n30013 45052\n3014 4532\n40936 61451\n67825 100000\n21553 32344\n45508 68330\n11434 17112\n87121 100000\n69832 100000\n74259 100000\n63748 95613\n90027 100000\n32368 48600\n68190 100000\n48545 72903\n19863 29807\n97135 100000\n54032 81080\n92775 100000\n78243 100000\n50439 75698\n30885 46376\n34723 52133\n74274 100000\n8497 12734\n99903 100000\n12662 18972\n46658 70080\n77566 100000\n93179 100000\n44997 67575\n45338 68071\n18728 28107\n57299 85953\n72598 100000\n32160 48284\n13231 19823\n28158 42274\n14446 21624\n99486 100000\n20113 30173\n76150 100000\n90019 100000\n20641 30984\n6591 9897\n71891 100000\n93812 100000\n78362 100000\n79939 100000\n52659 79023\n57807 86721\n86636 100000\n2937 4418\n66535 99800\n42896 64434\n99195 100000\n42557 63922\n70975 100000\n65934 98908\n35827 53775\n79211 100000\n50349 75571\n73936 100000\n65350 98030\n55607 83427\n46115 69239\n74238 100000\n93820 100000\n79152 100000\n4461 6710\n87858 100000\n80386 100000\n97205 100000\n99741 100000\n97064 100000\n98553 100000\n92683 100000\n74186 100000\n25027 37577\n35809 53749\n61420 92135\n85544 100000\n34407 51660\n39584 59413\n16356 24489\n34066 51165\n29258 43930\n70621 100000\n44221 66415\n7542 11331\n52107 78202\n97730 100000\n32823 49280\n53508 80294\n98450 100000\n63125 94694\n96374 100000\n54482 81738\n50559 75876\n37830 56777\n86276 100000\n26510 39773\n22737 34136\n49430 74214\n16649 24947\n10571 15809\n90007 100000\n78466 100000\n68709 100000\n99537 100000\n10931 16362\n31497 47290\n9079 13588\n6221 9342\n52492 78772\n18496 27756\n8973 13430\n75749 100000\n69316 100000\n77979 100000\n75322 100000\n82117 100000\n9320 13953\n14507 21714\n72481 100000\n68728 100000\n2020 3027\n46367 69632\n37228 55868\n15631 23407\n15506 23228\n62380 93585\n78260 100000\n11152 16693\n66198 99308\n78441 100000\n96842 100000\n81569 100000\n7684 11542\n60138 90237\n21809 32755\n32372 48604\n82823 100000\n74164 100000\n64974 97462\n79784 100000\n30732 46146\n73367 100000\n36634 54974\n50136 75248\n51977 78003\n44435 66732\n55293 82948\n16054 24040\n18357 27542\n6985 10485\n76526 100000\n29850 44801\n69491 100000\n24446 36700\n27945 41950\n47761 71729\n39947 59957\n82772 100000\n72455 100000\n38182 57301\n74256 100000\n71059 100000\n74994 100000\n38080 57148\n98343 100000\n65240 97856\n82567 100000\n67490 100000\n9182 13746\n54257 81415\n20948 31438\n77202 100000\n72975 100000\n25787 38681\n22388 33613\n69808 100000\n34461 51738\n27716 41597\n75774 100000\n45018 67607\n20254 30391\n18068 27103\n25106 37689\n82422 100000\n97729 100000\n7370 11071\n82461 100000\n85913 100000\n79241 100000\n15665 23460\n52512 78803\n43497 65330\n70510 100000\n81445 100000\n84530 100000\n77136 100000\n66553 99827\n19641 29478\n23323 35018\n35846 53803\n12763 19120\n64872 97307\n4288 6451\n66072 99113\n97826 100000\n99682 100000\n59488 89268\n12776 19143\n50935 76440\n9125 13657\n78299 100000\n62479 93735\n77903 100000\n7525 11305\n14617 21879\n55788 83695\n97113 100000\n98082 100000\n11295 16908\n67759 100000\n86564 100000\n54295 81469\n3635 5472\n32745 49161\n579 874\n1798 2698\n97468 100000\n79100 100000\n22156 33280\n39183 58806\n25742 38614\n45135 67775\n80399 100000\n81130 100000\n53890 80864\n25533 38308\n6838 10267\n75880 100000\n76238 100000\n89410 100000\n58875 88362\n40148 60252\n2426 3640\n2000 2997\n69731 100000\n66989 100000\n255 386\n20187 30287\n78124 100000\n9230 13819\n2885 4334\n53173 79788\n6525 9799\n8710 13047\n88686 100000\n88305 100000\n55305 82963\n81863 100000\n33885 50885\n12040 18039\n97293 100000\n80076 100000\n5661 8516\n91820 100000\n41478 62280\n27494 41264\n50476 75751\n13789 20633\n40525 60817\n51653 77521\n75094 100000\n7830 11757\n74073 100000\n50615 75959\n5961 8957\n39198 58829\n32117 48222\n21042 31578\n86056 100000\n48935 73491\n96856 100000\n97588 100000\n53959 80969\n71082 100000\n13512 20238\n12443 18641\n52433 78680\n957 1435\n77156 100000\n59162 88776\n52259 78417\n67153 100000\n13300 19930\n93243 100000\n6912 10379\n87674 100000\n75855 100000\n7705 11574\n25196 37826\n17657 26491\n19266 28904\n10617 15879\n41431 62211\n69929 100000\n27454 41199\n17883 26832\n86885 100000\n40679 61057\n6470 9717\n20249 30383\n20468 30724\n32548 48863\n94185 100000\n78134 100000\n75692 100000\n28758 43171\n4883 7337\n7433 11169\n26691 40045\n91392 100000\n46066 69165\n98294 100000\n22466 33734\n56492 84760\n97851 100000\n49365 74117\n67833 100000\n44131 66277\n5165 7758\n78143 100000\n27335 41015\n70596 100000\n15364 23011\n44920 67454\n36743 55128\n49230 73929\n63289 94930\n51311 76995\n40607 60943\n9047 13540\n96507 100000\n31114 46725\n16497 24707\n8862 13267\n26429 39655\n64655 96982\n16781 25141\n41207 61868\n68647 100000\n69287 100000\n5152 7740\n59158 88771\n90727 100000\n42961 64538\n41986 63052\n58348 87560\n88426 100000\n17331 25998\n78137 100000\n95705 100000\n35369 53096\n14796 22149\n74378 100000\n24084 36159\n54217 81353\n40784 61220\n45300 68017\n87536 100000\n17421 26132\n16772 25128\n21086 31644\n26028 39041\n28436 42696\n43508 65344\n57731 86603\n24720 37115\n82731 100000\n4969 7469\n26068 39104\n97884 100000\n18286 27435\n43695 65622\n75018 100000\n83175 100000\n67066 100000\n90118 100000\n75139 100000\n1910 2862\n47143 70804\n46587 69975\n85301 100000\n89443 100000\n2319 3483\n2644 3972\n3925 5916\n15917 23828\n52278 78446\n80385 100000\n3309 4976\n90840 100000\n56690 85056\n65476 98220\n94554 100000\n88679 100000\n97740 100000\n22273 33456\n42072 63179\n99413 100000\n30695 46094\n61502 92265\n71177 100000\n25286 37959\n97887 100000\n47014 70606\n84168 100000\n76645 100000\n63028 94544\n92758 100000\n53396 80116\n45545 68384\n34221 51383\n45110 67737\n59715 89609\n55614 83438\n39223 58867\n4073 6140\n56691 85057\n85238 100000\n72016 100000\n38011 57050\n71690 100000\n19891 29847\n54765 82149\n16672 24981\n56290 84447\n60140 90240\n2228 3342\n14363 21500\n80615 100000\n20103 30159\n21509 32283\n54924 82385\n80870 100000\n69074 100000\n14092 21093\n5875 8838\n34479 51764\n53333 80023\n71789 100000\n56106 84174\n47281 71013\n12884 19308\n39294 58974\n43183 64871\n10448 15623\n26195 39297\n43938 65987\n257 388\n34432 51696\n71919 100000\n80414 100000\n46737 70193\n34352 51577\n33065 49638\n26326 39501\n97907 100000\n59492 89275\n5708 8587\n33314 50012\n94567 100000\n29475 44246\n40997 61540\n6938 10419\n67888 100000\n53693 80569\n2106 3153\n15947 23873\n83964 100000\n41955 63003\n83840 100000\n26869 40318\n5853 8802\n4841 7270\n17264 25896\n48924 73474\n38015 57055\n53034 79583\n59876 89844\n80846 100000\n96449 100000\n48659 73080\n19594 29409\n32415 48670\n83911 100000\n89515 100000\n36916 55396\n11526 17250\n80037 100000\n69687 100000\n34233 51399\n96847 100000\n12903 19337\n68360 100000\n91567 100000\n95118 100000\n23059 34623\n9031 13515\n16272 24366\n45632 68513\n52568 78885\n1111 1655\n63359 95035\n33630 50485\n11367 17016\n80231 100000\n94984 100000\n65391 98086\n26838 40271\n73161 100000\n73167 100000\n58220 87362\n68042 100000\n98264 100000\n18186 27286\n42823 64332\n95981 100000\n95282 100000\n31610 47459\n72485 100000\n2307 3461\n67899 100000\n99454 100000\n88314 100000\n55134 82711\n68082 100000\n75693 100000\n79995 100000\n57828 86753\n14686 21980\n79670 100000\n54401 81617\n2911 4376\n2218 3328\n10695 16004\n81312 100000\n39015 58556\n90314 100000\n93321 100000\n44958 67512\n95339 100000\n7835 11764\n4718 7094\n18997 28504\n92856 100000\n81672 100000\n15170 22710\n59430 89185\n90223 100000\n60321 90502\n19722 29595\n4418 6648\n28921 43422\n23654 35505\n52958 79474\n63264 94895\n70164 100000\n98759 100000\n48583 72964\n91819 100000\n37610 56451\n54775 82161\n99027 100000\n57289 85939\n66015 99028\n41266 61956\n27087 40645\n2142 3207\n53051 79608\n61438 92163\n82650 100000\n93495 100000\n51770 77693\n20573 30884\n92431 100000\n4240 6377\n39508 59297\n97666 100000\n6445 9678\n58066 87117\n76395 100000\n72214 100000\n99848 100000\n81142 100000\n50646 76006\n57174 85776\n9561 14305\n68909 100000\n90622 100000\n36982 55497\n28487 42769\n40838 61303\n53924 80917\n68991 100000\n11882 17799\n5874 8836\n1792 2691\n17023 25516\n39618 59461\n3442 5185\n55408 83123\n72019 100000\n9984 14926\n63246 94868\n13781 20619\n65010 97514\n76084 100000\n92745 100000\n99886 100000\n68459 100000\n21527 32309\n50716 76107\n10126 15144\n94968 100000\n91250 100000\n48397 72680\n64417 96635\n55456 83198\n54780 82170\n71491 100000\n54226 81367\n37774 56693\n36683 55044\n50458 75726\n79217 100000\n43690 65616\n58633 88000\n32135 48250\n39998 60026\n8780 13147\n72472 100000\n13845 20718\n26858 40300\n73314 100000\n103 157\n11378 17030\n27367 41065\n42342 63596\n75395 100000\n53229 79867\n29891 44864\n95925 100000\n44336 66587\n76663 100000\n89894 100000\n45408 68176\n74765 100000\n75206 100000\n26360 39552\n93015 100000\n62107 93169\n25413 38138\n65819 98729\n97562 100000\n62134 93213\n79983 100000\n92226 100000\n70312 100000\n83269 100000\n11330 16960\n93414 100000\n61847 92777\n35795 53726\n43226 64935\n21375 32079\n57260 85895\n46014 69087\n49973 75007\n46765 70238\n32290 48481\n34157 51288\n21380 32087\n89810 100000\n33019 49568\n387 587\n71619 100000\n94010 100000\n12992 19466\n19514 29288\n76915 100000\n93919 100000\n46246 69444\n13126 19667\n96421 100000\n43995 66074\n25693 38539\n67177 100000\n65489 98238\n27201 40816\n69115 100000\n77731 100000\n87440 100000\n76969 100000\n84441 100000\n65397 98094\n18009 27015\n876 1318\n19627 29455\n86477 100000\n14969 22407\n49587 74449\n41040 61607\n6411 9629\n43945 65997\n90308 100000\n67258 100000\n86190 100000\n18174 27268\n50034 75096\n43173 64857\n48667 73091\n57097 85667\n77920 100000\n82316 100000\n51505 77287\n98674 100000\n65479 98224\n93141 100000\n70657 100000\n43726 65668\n93838 100000\n198 303\n29589 44415\n58851 88323\n50512 75806\n42226 63413\n45989 69049\n55073 82610\n82858 100000\n99069 100000\n3708 5583\n70284 100000\n27399 41113\n60235 90378\n7971 11960\n50916 76414\n54046 81099\n95292 100000\n58406 87649\n87471 100000\n4927 7404\n52436 78684\n97545 100000\n67950 100000\n4814 7231\n13885 20780\n12650 18957\n85996 100000\n12970 19434\n69843 100000\n7867 11810\n7133 10703\n32533 48840\n79293 100000\n63978 95966\n80138 100000\n79305 100000\n73428 100000\n13420 20107\n86968 100000\n67975 100000\n74002 100000\n96909 100000\n94594 100000\n12653 18961\n89250 100000\n28734 43134\n18468 27717\n47546 71411\n73229 100000\n67088 100000\n77809 100000\n51421 77164\n1656 2480\n91925 100000\n76941 100000\n21586 32400\n68969 100000\n34702 52100\n45659 68551\n46821 70323\n90097 100000\n11204 16775\n76445 100000\n1627 2434\n47865 71886\n93710 100000\n34734 52148\n44586 66949\n56549 84846\n58286 87462\n73790 100000\n87717 100000\n66932 100000\n37625 56473\n56922 85394\n43283 65018\n29965 44979\n77294 100000\n29484 44258\n80429 100000\n57667 86509\n37671 56535\n81335 100000\n83914 100000\n14503 21708\n96926 100000\n13182 19751\n94273 100000\n5611 8447\n14613 21874\n14339 21465\n1307 1938\n21915 32921\n15818 23681\n62840 94274\n84897 100000\n6819 10235\n56483 84745\n30076 45144\n70817 100000\n62654 93998\n39985 60006\n7645 11483\n55450 83189\n14599 21852\n17844 26775\n59688 89569\n97012 100000\n99736 100000\n54379 81589\n30222 45374\n43727 65670\n14106 21116\n69510 100000\n56728 85112\n64008 96014\n84163 100000\n12955 19413\n14343 21470\n69949 100000\n76539 100000\n31412 47165\n39954 59965\n56718 85099\n52701 79086\n54002 81034\n11386 17041\n94815 100000\n32104 48202\n65763 98649\n13080 19599\n53361 80059\n23781 35694\n31657 47522\n6230 9356\n93355 100000\n70949 100000\n20859 31303\n13722 20534\n86614 100000\n73397 100000\n2053 3074\n63499 95246\n96201 100000\n19010 28522\n9022 13502\n47164 70840\n39891 59878\n35336 53048\n13099 19628\n94915 100000\n36925 55409\n90106 100000\n65178 97765\n43899 65928\n77125 100000\n40604 60940\n70892 100000\n18241 27371\n56163 84263\n57356 86040\n40241 60388\n71066 100000\n4159 6262\n68149 100000\n48171 72337\n44590 66956\n57294 85947\n16099 24108\n88908 100000\n5005 7521\n19263 28900\n27496 41268\n93353 100000\n35700 53581\n6303 9469\n61193 91794\n63371 95053\n56179 84288\n4767 7168\n74308 100000\n40913 61417\n36349 54549\n12566 18829\n31542 47354\n82535 100000\n54320 81510\n62155 93247\n26943 40425\n13842 20714\n50141 75256\n54634 81952\n85477 100000\n10802 16167\n19635 29468\n52168 78289\n79072 100000\n29912 44897\n7708 11579\n20080 30124\n63840 95750\n81045 100000\n86532 100000\n83769 100000\n33883 50881\n98752 100000\n34749 52171\n76983 100000\n74669 100000\n38676 58038\n95669 100000\n21983 33020\n3995 6024\n95924 100000\n64837 97254\n77439 100000\n29593 44420\n25114 37701\n99725 100000\n20755 31146\n6668 10013\n62463 93710\n82218 100000\n79402 100000\n64985 97479\n25680 38522\n36532 54824\n1180 1757\n83414 100000\n41034 61598\n25520 38291\n76000 100000\n62577 93889\n90625 100000\n85262 100000\n6224 9347\n85865 100000\n66645 99956\n16233 24307\n10853 16246\n10333 15450\n59411 89157\n6238 9367\n4062 6125\n28576 42902\n91304 100000\n80071 100000\n83163 100000\n91810 100000\n21449 32191\n57899 86862\n94381 100000\n39540 59344\n76321 100000\n38756 58165\n52621 78966\n1213 1803\n57251 85883\n62671 94024\n98116 100000\n96147 100000\n63251 94875\n51601 77436\n72148 100000\n64258 96385\n87909 100000\n8880 13294\n8592 12871\n33438 50193\n41465 62264\n87740 100000\n14657 21938\n20092 30143\n45485 68298\n21349 32039\n14246 21329\n51885 77864\n12618 18906\n28528 42831\n77733 100000\n73833 100000\n547 824\n31178 46817\n94418 100000\n75386 100000\n83559 100000\n62668 94019\n47362 71133\n59649 89507\n39132 58733\n84009 100000\n99644 100000\n88663 100000\n91779 100000\n74845 100000\n3340 5024\n36150 54253\n4280 6440\n56433 84671\n53137 79739\n73321 100000\n76884 100000\n8209 12317\n58677 88072\n86603 100000\n42439 63750\n15928 23841\n53354 80049\n13777 20615\n93849 100000\n30710 46115\n13726 20539\n56370 84572\n24239 36381\n47421 71223\n53494 80272\n55587 83397\n47124 70776\n36877 55331\n93103 100000\n16151 24182\n90953 100000\n27860 41816\n18456 27699\n5391 8105\n78073 100000\n88570 100000\n98169 100000\n4795 7206\n12400 18576\n56962 85459\n33601 50442\n74717 100000\n41693 62611\n95941 100000\n40193 60317\n11034 16517\n66340 99512\n8607 12891\n19447 29183\n86562 100000\n7563 11359\n54269 81430\n26087 39127\n23604 35434\n31193 46835\n153 231\n48139 72290\n40487 60761\n32126 48236\n83502 100000\n4162 6267\n8203 12308\n87622 100000\n9272 13879\n76468 100000\n44285 66512\n91047 100000\n20012 30018\n76120 100000\n19167 28762\n85141 100000\n9827 14700\n32766 49193\n96153 100000\n75886 100000\n39587 59419\n39785 59713\n81924 100000\n41006 61553\n85787 100000\n60146 90247\n65265 97895\n58757 88185\n23625 35467\n89770 100000\n17260 25889\n83564 100000\n67161 100000\n86142 100000\n80459 100000\n49188 73871\n21117 31693\n59100 88685\n25590 38391\n1697 2544\n40612 60950\n64399 96602\n35692 53569\n16987 25465\n16183 24231\n28714 43103\n80486 100000\n82049 100000\n37090 55658\n64510 96774\n16912 25348\n6756 10144\n9946 14875\n70803 100000\n78812 100000\n30883 46373\n14486 21679\n96709 100000\n3921 5909\n24705 37097\n12251 18341\n63715 95568\n91044 100000\n91766 100000\n51644 77505\n60927 91399\n65989 98992\n65976 98972\n42953 64526\n43256 64978\n7719 11593\n62202 93316\n41129 61748\n74114 100000\n59361 89080\n10600 15854\n41293 61999\n7629 11459\n91204 100000\n10809 16177\n78753 100000\n31165 46798\n54593 81894\n39286 58962\n93813 100000\n61625 92443\n71149 100000\n43635 65531\n81611 100000\n10741 16075\n34735 52149\n29845 44794\n61505 92269\n60272 90427\n264 398\n70185 100000\n99951 100000\n81716 100000\n11893 17816\n61582 92384\n25149 37755\n15160 22696\n80163 100000\n54327 81520\n96592 100000\n39091 58668\n29572 44390\n854 1286\n82407 100000\n35243 52910\n9939 14867\n79485 100000\n80154 100000\n36107 54192\n86737 100000\n3288 4944\n51236 76884\n75943 100000\n31208 46857\n40816 61265\n89227 100000\n61797 92697\n18386 27589\n1699 2548\n59221 88865\n46841 70353\n59475 89250\n60428 90666\n97827 100000\n63279 94916\n36286 54453\n56933 85413\n17871 26817\n22206 33355\n915 1376\n58887 88384\n24536 36845\n37962 56978\n32419 48677\n39280 58953\n91657 100000\n10200 15249\n86527 100000\n21629 32471\n42500 63840\n56487 84751\n4459 6707\n89720 100000\n66380 99576\n76831 100000\n19036 28557\n79961 100000\n34598 51939\n36337 54530\n99666 100000\n61381 92076\n31295 46984\n9654 14436\n89869 100000\n39468 59238\n87667 100000\n20177 30272\n38840 58290\n54885 82324\n98374 100000\n50930 76432\n80016 100000\n94949 100000\n432 658\n97127 100000\n83200 100000\n58833 88293\n80956 100000\n93739 100000\n16917 25355\n60792 91199\n29715 44600\n84921 100000\n73987 100000\n33738 50655\n84488 100000\n11524 17248\n85546 100000\n68424 100000\n72532 100000\n15497 23217\n24090 36167\n10728 16052\n94296 100000\n26545 39827\n88252 100000\n31845 47811\n60702 91066\n11997 17978\n95166 100000\n21601 32425\n20746 31131\n44413 66702\n1365 2035\n73253 100000\n66058 99090\n98401 100000\n14481 21673\n36766 55162\n3388 5099\n89271 100000\n68630 100000\n42093 63211\n79857 100000\n11472 17169\n90432 100000\n50835 76297\n68583 100000\n59451 89214\n26094 39136\n82304 100000\n42682 64113\n77714 100000\n68267 100000\n35031 52593\n45902 68922\n44848 67342\n92944 100000\n8333 12495\n25420 38149\n97105 100000\n51478 77247\n16566 24822\n54198 81323\n50106 75205\n33939 50968\n26699 40057\n65652 98479\n45879 68886\n27815 41750\n17425 26137\n15798 23653\n54524 81797\n79520 100000\n65677 98519\n38368 57568\n12352 18499\n44725 67150\n76882 100000\n29435 44185\n40239 60386\n31953 47972\n49619 74496\n15560 23304\n58295 87477\n84873 100000\n938 1411\n88147 100000\n32934 49442\n22691 34068\n78921 100000\n2199 3296\n66270 99410\n74336 100000\n59004 88546\n88466 100000\n37633 56484\n41934 62973\n32477 48765\n27540 41336\n15410 23077\n77211 100000\n49314 74047\n13793 20640\n73702 100000\n10542 15762\n442 672\n68662 100000\n47235 70944\n36364 54574\n59313 89005\n6995 10500\n7926 11893\n76993 100000\n33360 50078\n37626 56475\n65679 98521\n11772 17625\n59333 89037\n63434 95145\n94572 100000\n96913 100000\n108 164\n91603 100000\n82694 100000\n89860 100000\n75255 100000\n46802 70292\n89746 100000\n88971 100000\n73744 100000\n57012 85540\n78327 100000\n78973 100000\n46438 69749\n79156 100000\n98146 100000\n85278 100000\n83495 100000\n32908 49403\n9567 14315\n11051 16547\n22271 33453\n78407 100000\n5902 8874\n56674 85034\n48297 72524\n66430 99648\n42065 63169\n27944 41949\n60297 90465\n27427 41154\n89011 100000\n19149 28733\n30928 46443\n70321 100000\n40192 60316\n53194 79820\n57417 86131\n20918 31394\n56480 84740\n40710 61108\n6186 9295\n52467 78732\n7964 11949\n10019 14977\n21107 31678\n6913 10381\n17616 26425\n91014 100000\n84839 100000\n72927 100000\n28434 42694\n68754 100000\n33570 50398\n35253 52924\n67777 100000\n44262 66475\n70340 100000\n21483 32242\n93751 100000\n65905 98862\n46030 69110\n14555 21787\n44983 67554\n51084 76663\n66612 99910\n44613 66991\n7259 10901\n64223 96331\n3913 5895\n1407 2102\n24781 37209\n85540 100000\n45976 69031\n72596 100000\n87287 100000\n44875 67384\n66594 99884\n10626 15894\n31073 46664\n48072 72197\n18878 28322\n32156 48278\n14815 22179\n53674 80538\n15910 23819\n65413 98120\n26475 39721\n5912 8888\n12038 18037\n83990 100000\n45266 67966\n12562 18824\n4687 7047\n97428 100000\n23044 34602\n15795 23649\n5112 7679\n18743 28129\n81722 100000\n15037 22513\n77996 100000\n23538 35338\n64489 96748\n83452 100000\n89769 100000\n27849 41801\n53319 79998\n81600 100000\n63205 94809\n99582 100000\n23643 35491\n69221 100000\n84506 100000\n18755 28147\n94275 100000\n21292 31955\n81577 100000\n22165 33291\n52226 78372\n60669 91018\n36285 54451\n38157 57263\n29875 44842\n20826 31252\n241 365\n19676 29528\n82025 100000\n8150 12222\n17365 26049\n99024 100000\n51607 77445\n43960 66018\n58473 87756\n82590 100000\n53357 80053\n67505 100000\n1905 2856\n86184 100000\n96494 100000\n51754 77667\n88937 100000\n25161 37774\n71263 100000\n67079 100000\n59584 89410\n37278 55943\n53593 80421\n63641 95456\n92123 100000\n44089 66212\n63792 95681\n43240 64955\n8395 12584\n99388 100000\n39455 59218\n95791 100000\n81311 100000\n51540 77344\n91979 100000\n80474 100000\n32562 48884\n62681 94038\n46894 70427\n47904 71949\n34007 51073\n58563 87889\n85879 100000\n79779 100000\n97120 100000\n96773 100000\n10824 16199\n89510 100000\n71545 100000\n67123 100000\n17422 26134\n1484 2222\n90168 100000\n51829 77783\n97038 100000\n18306 27467\n2599 3901\n14439 21612\n20497 30768\n98518 100000\n99225 100000\n69631 100000\n67596 100000\n91655 100000\n6201 9316\n11795 17665\n67838 100000\n22599 33938\n40622 60967\n80378 100000\n5590 8413\n30779 46216\n526 793\n75468 100000\n20795 31206\n62961 94447\n94116 100000\n32044 48113\n79909 100000\n44999 67577\n76286 100000\n51448 77203\n1264 1876\n63853 95769\n34054 51148\n63234 94850\n67951 100000\n69588 100000\n84183 100000\n52400 78629\n60463 90715\n67169 100000\n84373 100000\n68533 100000\n2528 3795\n48674 73103\n72597 100000\n52256 78414\n32402 48648\n77037 100000\n27125 40702\n35092 52679\n14919 22330\n63595 95391\n39382 59111\n11260 16857\n42933 64492\n87257 100000\n15084 22581\n10621 15886\n9661 14446\n44255 66465\n50507 75799\n38257 57405\n81365 100000\n70102 100000\n39649 59506\n52287 78457\n84907 100000\n17273 25911\n969 1451\n73589 100000\n17099 25632\n23387 35108\n94975 100000\n1257 1867\n92268 100000\n58317 87515\n82598 100000\n18156 27242\n59601 89434\n27745 41642\n46556 69930\n75410 100000\n99767 100000\n23259 34921\n8405 12600\n90982 100000\n98937 100000\n23333 35030\n86750 100000\n81963 100000\n24257 36404\n5863 8817\n85054 100000\n62853 94297\n14973 22413\n57810 86726\n93419 100000\n22392 33620\n15378 23029\n77097 100000\n8682 13004\n8326 12485\n74138 100000\n44365 66630\n32068 48149\n37164 55766\n10085 15080\n9542 14282\n33561 50385\n57702 86560\n76515 100000\n77271 100000\n42860 64381\n3390 5101\n44008 66093\n459 697\n40618 60961\n11296 16909\n97106 100000\n54718 82077\n2245 3365\n43550 65403\n40155 60262\n6992 10495\n90578 100000\n77490 100000\n93335 100000\n16933 25380\n41459 62254\n360 546\n28059 42123\n64583 96876\n72236 100000\n71461 100000\n8334 12497\n89082 100000\n55294 82950\n32556 48875\n56804 85218\n38028 57071\n89371 100000\n94411 100000\n12315 18442\n40166 60277\n84486 100000\n50811 76257\n58774 88208\n41061 61637\n53230 79868\n90831 100000\n38338 57527\n47933 71991\n7467 11219\n53212 79842\n96206 100000\n71750 100000\n90342 100000\n55572 83377\n31218 46874\n83907 100000\n87132 100000\n30834 46298\n56650 84999\n92588 100000\n61133 91704\n99290 100000\n79401 100000\n84789 100000\n80814 100000\n9302 13926\n46429 69733\n71970 100000\n3686 5548\n11756 17604\n40126 60220\n56121 84196\n70933 100000\n79163 100000\n91843 100000\n37074 55635\n67548 100000\n65796 98696\n66586 99872\n24212 36346\n53039 79591\n39008 58547\n69834 100000\n40332 60529\n41649 62544\n60418 90652\n16163 24201\n55769 83667\n68017 100000\n64857 97285\n19597 29413\n72906 100000\n26314 39481\n59642 89496\n80749 100000\n23985 36007\n69309 100000\n64892 97336\n41285 61989\n90934 100000\n20051 30080\n75613 100000\n14865 22252\n29317 44010\n20541 30837\n9146 13690\n29545 44350\n34159 51290\n90938 100000\n4774 7178\n68799 100000\n9604 14368\n36410 54640\n20955 31449\n23150 34759\n25792 38689\n28504 42794\n13101 19631\n69826 100000\n48211 72394\n23658 35512\n44018 66106\n63952 95924\n66090 99139\n63136 94711\n92841 100000\n48363 72625\n13038 19538\n74956 100000\n9238 13830\n38637 57977\n95387 100000\n98807 100000\n79214 100000\n29884 44854\n84795 100000\n56897 85356\n31345 47062\n88311 100000\n57160 85755\n98750 100000\n64806 97208\n35353 53074\n1748 2623\n46505 69852\n77829 100000\n82456 100000\n5851 8799\n23074 34648\n98870 100000\n27925 41918\n739 1112\n68774 100000\n78161 100000\n90514 100000\n38609 57939\n60954 91437\n42832 64342\n71115 100000\n93738 100000\n8266 12397\n57236 85865\n86174 100000\n52448 78704\n24269 36422\n90890 100000\n12122 18154\n24729 37126\n98679 100000\n8967 13422\n33727 50637\n18126 27193\n75438 100000\n84219 100000\n31711 47596\n70348 100000\n11986 17961\n85186 100000\n69428 100000\n61973 92960\n12367 18523\n58690 88088\n36851 55290\n25069 37634\n93007 100000\n83774 100000\n1164 1732\n77765 100000\n13293 19919\n60600 90919\n89494 100000\n95149 100000\n79513 100000\n36707 55078\n44006 66091\n82014 100000\n95975 100000\n28510 42804\n4174 6283\n81506 100000\n66218 99337\n48947 73510\n97479 100000\n78838 100000\n84841 100000\n86747 100000\n9687 14486\n77359 100000\n11647 17433\n73359 100000\n14695 21994\n3438 5179\n82558 100000\n87777 100000\n78793 100000\n64 97\n79468 100000\n86025 100000\n66029 99047\n30544 45865\n99540 100000\n74348 100000\n32863 49334\n79833 100000\n79304 100000\n93373 100000\n30684 46078\n64141 96212\n2217 3327\n99723 100000\n9173 13732\n21161 31755\n51995 78029\n79445 100000\n24755 37170\n95566 100000\n15732 23553\n71447 100000\n49379 74136\n20050 30078\n53099 79680\n65805 98710\n45677 68578\n40582 60906\n96133 100000\n29909 44892\n5919 8897\n47630 71535\n18839 28269\n86781 100000\n16636 24930\n4649 6991\n20879 31334\n99510 100000\n12404 18581\n2435 3653\n21789 32723\n38209 57335\n61970 92957\n23100 34686\n79049 100000\n85871 100000\n34338 51558\n63364 95042\n31366 47094\n12921 19361\n96119 100000\n89420 100000\n72804 100000\n35941 53948\n70468 100000\n2386 3582\n18284 27431\n21106 31677\n29804 44728\n85431 100000\n75956 100000\n9492 14212\n96007 100000\n23746 35643\n10560 15790\n72312 100000\n84978 100000\n72914 100000\n65477 98221\n12857 19265\n61828 92746\n15584 23344\n50097 75189\n93576 100000\n73510 100000\n85841 100000\n64684 97026\n25329 38016\n66639 99946\n73616 100000\n37650 56508\n52761 79186\n59692 89574\n2371 3559\n52586 78908\n15487 23202\n42879 64410\n6056 9098\n47304 71050\n30015 45055\n60341 90531\n27150 40738\n22211 33360\n18630 27960\n31334 47045\n68562 100000\n73828 100000\n11207 16778\n91737 100000\n78673 100000\n91517 100000\n25025 37574\n81541 100000\n31450 47223\n88002 100000\n32797 49239\n24122 36219\n81119 100000\n2446 3668\n1930 2894\n27059 40599\n78635 100000\n73883 100000\n33340 50050\n84832 100000\n97810 100000\n97186 100000\n87317 100000\n2266 3398\n16673 24982\n50017 75071\n15625 23398\n73189 100000\n36956 55457\n10981 16437\n19743 29624\n59949 89956\n17089 25616\n97158 100000\n85784 100000\n36213 54343\n96356 100000\n67836 100000\n38107 57190\n66201 99312\n23177 34800\n49362 74113\n42255 63455\n60973 91463\n78275 100000\n37325 56012\n40524 60816\n70342 100000\n37186 55803\n29141 43753\n44600 66971\n34297 51495\n79404 100000\n54898 82343\n37927 56924\n54440 81673\n90402 100000\n973 1456\n84001 100000\n83071 100000\n48240 72433\n4887 7345\n88208 100000\n52989 79518\n92591 100000\n34034 51117\n57665 86507\n92110 100000\n82859 100000\n98894 100000\n21869 32848\n85049 100000\n45574 68424\n28005 42038\n84300 100000\n83254 100000\n84424 100000\n13324 19966\n32129 48240\n64940 97413\n21693 32570\n68686 100000\n51026 76578\n27099 40666\n7717 11591\n39768 59689\n62828 94256\n18915 28377\n63905 95850\n73799 100000\n87194 100000\n77095 100000\n57603 86414\n81943 100000\n23729 35616\n2834 4252\n93079 100000\n53844 80796\n86164 100000\n85805 100000\n70270 100000\n13330 19974\n34944 52464\n82465 100000\n98233 100000\n18374 27571\n37267 55928\n32882 49366\n73381 100000\n82904 100000\n88629 100000\n14774 22113\n69968 100000\n93326 100000\n74092 100000\n19897 29856\n56356 84551\n38461 57709\n10933 16364\n26503 39764\n26243 39370\n26566 39856\n48549 72908\n25475 38223\n63771 95648\n90383 100000\n15750 23580\n93435 100000\n11922 17864\n58890 88388\n82773 100000\n75982 100000\n50135 75247\n27987 42013\n39289 58966\n41589 62452\n73967 100000\n17400 26099\n66953 100000\n31834 47793\n65027 97537\n51197 76830\n3598 5414\n72925 100000\n98048 100000\n17268 25902\n54228 81370\n98892 100000\n92147 100000\n17688 26537\n28724 43117\n83094 100000\n31578 47408\n18762 28156\n24352 36557\n29839 44783\n53701 80581\n64436 96665\n84557 100000\n44406 66692\n80354 100000\n51520 77311\n11067 16569\n74429 100000\n58341 87549\n10678 15975\n79753 100000\n58030 87057\n10432 15600\n38385 57593\n85296 100000\n59178 88799\n48469 72791\n35169 52797\n61800 92702\n32018 48072\n44380 66654\n235 357\n15422 23096\n83251 100000\n10680 15978\n47336 71094\n97042 100000\n35039 52604\n90676 100000\n27581 41396\n37813 56753\n49284 74008\n31112 46723\n3651 5496\n75467 100000\n78890 100000\n50425 75677\n32143 48260\n73938 100000\n83567 100000\n84157 100000\n33517 50317\n32121 48229\n92691 100000\n67028 100000\n36319 54505\n35805 53744\n52299 78474\n88145 100000\n53179 79798\n7940 11911\n41886 62902\n22205 33353\n31831 47787\n89131 100000\n73887 100000\n80343 100000\n12079 18093\n21343 32031\n41045 61614\n25606 38415\n86877 100000\n21567 32368\n58518 87821\n14049 21027\n90001 100000\n44230 66428\n80832 100000\n53368 80069\n97310 100000\n17105 25640\n1874 2812\n27604 41426\n60327 90509\n45178 67837\n55318 82983\n38332 57519\n25212 37852\n27029 40550\n39434 59185\n75277 100000\n43121 64781\n24667 37042\n26285 39436\n27613 41437\n76194 100000\n61241 91869\n41253 61934\n48631 73038\n47797 71784\n22402 33635\n51307 76989\n99321 100000\n98440 100000\n7107 10667\n32484 48773\n69503 100000\n27667 41522\n90066 100000\n91934 100000\n81038 100000\n93589 100000\n87774 100000\n16522 24749\n84293 100000\n35911 53902\n68119 100000\n69597 100000\n63478 95212\n32664 49040\n34907 52411\n14284 21380\n11782 17641\n275 415\n18908 28365\n79288 100000\n80834 100000\n44847 67341\n2775 4169\n2388 3585\n12926 19369\n79454 100000\n93207 100000\n53764 80679\n46632 70044\n96591 100000\n81701 100000\n82741 100000\n88048 100000\n352 535\n17742 26619\n28275 42456\n36137 54234\n29677 44545\n87558 100000\n55680 83532\n17129 25679\n3584 5395\n55585 83394\n96742 100000\n75006 100000\n44640 67029\n4719 7095\n48126 72269\n33416 50159\n89214 100000\n4587 6900\n27459 41207\n35216 52870\n66762 100000\n68777 100000\n29613 44450\n72502 100000\n86508 100000\n24915 37410\n86580 100000\n48378 72647\n80855 100000\n42116 63244\n9167 13724\n11343 16978\n26840 40274\n70743 100000\n87644 100000\n83201 100000\n43855 65859\n45202 67870\n25802 38702\n87117 100000\n47102 70743\n99332 100000\n15083 22580\n34245 51415\n67465 100000\n22033 33095\n45617 68492\n93389 100000\n23256 34915\n65314 97976\n92215 100000\n21819 32768\n90916 100000\n64710 97068\n91092 100000\n64122 96182\n85677 100000\n14493 21691\n48067 72190\n12875 19292\n25760 38644\n81310 100000\n91714 100000\n6378 9579\n73291 100000\n58933 88443\n23412 35143\n30207 45349\n46809 70305\n72418 100000\n43378 65158\n25030 37581\n12369 18527\n22651 34007\n81036 100000\n50236 75396\n95221 100000\n17722 26590\n21804 32746\n68920 100000\n37396 56119\n28254 42421\n2530 3798\n41730 62669\n31863 47840\n29079 43657\n71218 100000\n26038 39057\n66933 100000\n73196 100000\n83971 100000\n88097 100000\n24905 37394\n60063 90126\n90063 100000\n64270 96407\n13610 20375\n66311 99467\n86074 100000\n49653 74544\n53337 80027\n25274 37944\n99980 100000\n91481 100000\n71859 100000\n81715 100000\n45344 68082\n89544 100000\n18757 28149\n55439 83172\n10213 15268\n60164 90276\n18920 28384\n37652 56510\n36809 55226\n9815 14683\n27953 41961\n37295 55970\n8219 12332\n35460 53230\n56844 85279\n2196 3291\n89288 100000\n26228 39345\n57740 86615\n51192 76822\n41203 61862\n56482 84744\n4595 6912\n91713 100000\n35710 53596\n55978 83980\n51366 77080\n20159 30245\n28337 42545\n46754 70221\n5323 8003\n7587 11391\n51180 76801\n83859 100000\n69274 100000\n3267 4911\n304 460\n36513 54797\n22735 34133\n22172 33303\n1107 1648\n83108 100000\n65444 98167\n18643 27978\n78485 100000\n19083 28630\n25271 37938\n22772 34186\n41342 62075\n76926 100000\n8664 12976\n2346 3524\n61623 92441\n51188 76816\n95215 100000\n70678 100000\n44153 66312\n91102 100000\n60657 91002\n981 1467\n69864 100000\n14233 21311\n17202 25800\n74638 100000\n46199 69368\n96179 100000\n45870 68870\n97110 100000\n46873 70397\n66199 99309\n18906 28361\n91167 100000\n81581 100000\n58302 87490\n43575 65444\n22038 33103\n24359 36567\n3546 5337\n25474 38221\n43934 65981\n50057 75129\n16888 25313\n28325 42527\n81821 100000\n74545 100000\n59899 89878\n8806 13186\n71337 100000\n17175 25758\n71662 100000\n80929 100000\n71568 100000\n74735 100000\n73147 100000\n26201 39308\n17628 26444\n68568 100000\n32130 48242\n10259 15339\n2733 4105\n96517 100000\n46119 69244\n49369 74121\n53867 80830\n40199 60325\n98408 100000\n72748 100000\n65698 98550\n13816 20673\n11437 17118\n89151 100000\n9381 14043\n98975 100000\n20944 31433\n15677 23475\n48838 73343\n91599 100000\n58026 87049\n1974 2959\n7239 10874\n46509 69858\n94179 100000\n60637 90974\n43098 64742\n53588 80413\n46806 70299\n68832 100000\n56714 85093\n96782 100000\n14194 21253\n90389 100000\n29924 44912\n32997 49537\n76011 100000\n29310 44000\n53033 79582\n12570 18836\n22687 34061\n28346 42557\n80938 100000\n88411 100000\n84762 100000\n19144 28726\n86189 100000\n99353 100000\n25357 38053\n34168 51305\n36804 55220\n37126 55708\n17388 26081\n5765 8668\n88737 100000\n43708 65642\n69495 100000\n3494 5261\n17290 25937\n22996 34526\n73463 100000\n88743 100000\n77831 100000\n63626 95433\n13665 20451\n29397 44128\n34806 52259\n6123 9201\n96984 100000\n88989 100000\n72162 100000\n26734 40111\n49716 74638\n99627 100000\n67687 100000\n44677 67081\n62301 93464\n43530 65376\n93440 100000\n10791 16152\n30582 45921\n2994 4504\n79356 100000\n80799 100000\n47966 72038\n24698 37086\n1844 2771\n38713 58098\n95189 100000\n78234 100000\n50107 75206\n34946 52466\n43082 64718\n46386 69666\n77458 100000\n18678 28030\n28600 42940\n39149 58756\n83165 100000\n47332 71088\n80114 100000\n71792 100000\n12787 19162\n35858 53821\n91485 100000\n2789 4189\n92172 100000\n62046 93079\n68525 100000\n86275 100000\n5149 7735\n71537 100000\n1897 2844\n1691 2535\n98765 100000\n52328 78520\n5680 8546\n16120 24140\n46177 69334\n2278 3419\n67805 100000\n86883 100000\n90609 100000\n25404 38125\n39272 58940\n4859 7298\n95903 100000\n43826 65816\n77597 100000\n24266 36418\n30090 45163\n89042 100000\n12530 18774\n94330 100000\n62236 93367\n5062 7606\n45784 68739\n48910 73452\n74746 100000\n36988 55508\n21828 32783\n97500 100000\n71303 100000\n42235 63425\n78207 100000\n68807 100000\n33372 50096\n18295 27450\n59562 89376\n16463 24655\n17591 26385\n98531 100000\n15698 23505\n7258 10900\n74381 100000\n69531 100000\n37297 55972\n16126 24149\n27738 41632\n74152 100000\n22752 34157\n34614 51961\n64420 96639\n84976 100000\n40767 61194\n7823 11747\n66558 99834\n12331 18467\n91548 100000\n60655 90998\n79386 100000\n34774 52209\n77514 100000\n38005 57042\n80825 100000\n86595 100000\n63609 95410\n20848 31285\n22705 34088\n90411 100000\n5125 7702\n38971 58488\n77772 100000\n23572 35385\n38199 57323\n22410 33646\n24053 36113\n49704 74620\n22984 34508\n92794 100000\n52727 79125\n72064 100000\n10165 15200\n16979 25452\n31388 47126\n19361 29048\n51291 76970\n63657 95482\n39026 58574\n33877 50872\n363 549\n24063 36127\n20877 31330\n50649 76010\n46001 69069\n14579 21824\n29239 43902\n1389 2076\n79232 100000\n75369 100000\n4783 7189\n27295 40956\n75752 100000\n77137 100000\n5816 8745\n2500 3750\n64010 96016\n63736 95597\n21466 32217\n27967 41981\n23607 35439\n3059 4599\n69711 100000\n57208 85826\n75466 100000\n66317 99477\n38171 57284\n61522 92294\n47492 71332\n61406 92114\n76223 100000\n60444 90688\n49137 73794\n24853 37312\n47522 71374\n51721 77620\n98049 100000\n89939 100000\n23747 35645\n94077 100000\n12148 18193\n72358 100000\n48354 72609\n74796 100000\n27096 40660\n64976 97466\n75397 100000\n61862 92799\n7271 10919\n14189 21243\n84153 100000\n83987 100000\n13709 20517\n38549 57848\n65885 98834\n89504 100000\n50970 76494\n62775 94175\n24332 36523\n68497 100000\n7962 11947\n73274 100000\n18409 27627\n70463 100000\n91112 100000\n14316 21429\n79994 100000\n66732 100000\n65432 98149\n95967 100000\n7602 11413\n27121 40697\n36274 54436\n51646 77509\n88623 100000\n4176 6286\n72710 100000\n11134 16666\n48420 72714\n44799 67261\n63705 95553\n64988 97483\n77014 100000\n56605 84930\n96562 100000\n71176 100000\n18928 28397\n70963 100000\n82107 100000\n11393 17049\n34679 52066\n38574 57886\n70800 100000\n45981 69039\n81170 100000\n98861 100000\n42890 64425\n53016 79559\n93256 100000\n37783 56704\n68598 100000\n95570 100000\n7487 11247\n52927 79429\n89826 100000\n48395 72677\n86155 100000\n3892 5861\n35007 52557\n51441 77192\n89984 100000\n15582 23340\n92058 100000\n39573 59396\n73354 100000\n87085 100000\n61610 92424\n26759 40148\n83180 100000\n7389 11098\n72378 100000\n18882 28327\n96966 100000\n35848 53806\n54785 82177\n9449 14147\n20072 30111\n62417 93639\n95379 100000\n96426 100000\n39264 58928\n58463 87740\n88364 100000\n86319 100000\n24061 36123\n20448 30693\n74659 100000\n33572 50401\n69373 100000\n85773 100000\n96171 100000\n70471 100000\n47385 71169\n16002 23959\n27929 41925\n74873 100000\n46731 70187\n2222 3333\n69387 100000\n14956 22388\n40455 60710\n36894 55359\n74093 100000\n28537 42845\n86162 100000\n78294 100000\n52768 79196\n96363 100000\n61649 92479\n6770 10166\n45948 68989\n34960 52489\n13555 20302\n53962 80973\n87938 100000\n75491 100000\n60112 90203\n85791 100000\n71813 100000\n21765 32682\n69744 100000\n50020 75076\n18330 27500\n25098 37677\n1785 2681\n13889 20786\n399 605\n78483 100000\n51965 77987\n97333 100000\n42675 64100\n56978 85483\n78230 100000\n6259 9398\n84467 100000\n61385 92081\n99981 100000\n66801 100000\n98722 100000\n76998 100000\n90844 100000\n95034 100000\n63916 95867\n73424 100000\n63634 95446\n34583 51918\n95654 100000\n81197 100000\n48451 72762\n18406 27623\n9790 14643\n19882 29833\n9508 14234\n97928 100000\n58394 87632\n63824 95727\n17637 26459\n72323 100000\n68362 100000\n17346 26019\n60999 91503\n13298 19926\n93955 100000\n14510 21720\n79636 100000\n25369 38071\n44878 67390\n47751 71714\n28152 42265\n29488 44263\n97027 100000\n44044 66144\n36186 54302\n41717 62650\n42884 64419\n56485 84748\n48169 72334\n29482 44256\n19931 29906\n18676 28027\n38560 57865\n2033 3045\n62137 93218\n43541 65390\n46660 70084\n78257 100000\n677 1026\n82816 100000\n11085 16595\n31324 47028\n89776 100000\n9699 14505\n4277 6435\n78109 100000\n95883 100000\n5110 7676\n16850 25252\n86847 100000\n41242 61917\n67577 100000\n16383 24529\n5470 8228\n59978 89995\n92893 100000\n96410 100000\n21678 32547\n96727 100000\n90839 100000\n14872 22262\n50587 75917\n94708 100000\n51387 77110\n23311 34998\n40438 60689\n48693 73134\n43850 65853\n16470 24664\n42320 63559\n40124 60216\n57873 86825\n76793 100000\n55739 83622\n81662 100000\n53759 80671\n48020 72120\n6666 10010\n32606 48951\n86247 100000\n25354 38048\n31608 47456\n18711 28082\n63593 95388\n6732 10107\n78487 100000\n47757 71723\n47741 71703\n2988 4496\n83444 100000\n55164 82758\n12158 18207\n87307 100000\n12614 18901\n14512 21722\n46101 69216\n607 917\n51073 76647\n21885 32874\n87843 100000\n97983 100000\n12898 19330\n59442 89200\n8712 13050\n60813 91227\n97221 100000\n65573 98360\n87646 100000\n41792 62764\n3639 5478\n5924 8904\n52134 78240\n95517 100000\n2260 3388\n35985 54008\n72281 100000\n11957 17918\n9906 14817\n30354 45570\n31062 46647\n32519 48823\n10889 16301\n83628 100000\n19168 28763\n99749 100000\n96312 100000\n77013 100000\n83021 100000\n85887 100000\n61774 92663\n77183 100000\n75970 100000\n99590 100000\n68809 100000\n23854 35801\n78530 100000\n88728 100000\n50933 76436\n16310 24425\n27179 40780\n30148 45259\n38133 57231\n43846 65845\n71630 100000\n15306 22916\n25409 38132\n95049 100000\n37878 56851\n59063 88629\n24631 36983\n46548 69919\n8276 12412\n86225 100000\n48125 72268\n66658 99974\n20410 30631\n76227 100000\n20032 30050\n71663 100000\n64997 97495\n36380 54596\n1550 2317\n76671 100000\n93662 100000\n54197 81321\n34453 51727\n35906 53895\n27802 41731\n6885 10340\n29892 44865\n21795 32731\n26085 39125\n47806 71797\n55086 82633\n85156 100000\n56991 85505\n48091 72221\n71284 100000\n73736 100000\n58531 87838\n98191 100000\n67251 100000\n82743 100000\n59669 89539\n99999 100000\n62106 93167\n89754 100000\n50279 75463\n61388 92086\n78912 100000\n23447 35199\n98787 100000\n40579 60900\n19541 29331\n60846 91278\n24924 37423\n99148 100000\n60850 91285\n74050 100000\n22883 34351\n72496 100000\n45467 68268\n95872 100000\n76008 100000\n89217 100000\n82347 100000\n31418 47173\n33941 50970\n89084 100000\n44204 66389\n87590 100000\n95808 100000\n28316 42515\n91464 100000\n34388 51635\n11216 16790\n61702 92557\n53608 80445\n12874 19291\n70736 100000\n56833 85263\n37134 55720\n50450 75714\n63248 94870\n69154 100000\n7508 11280\n80665 100000\n74851 100000\n73529 100000\n65466 98204\n88830 100000\n33256 49925\n35239 52904\n87866 100000\n6654 9994\n75680 100000\n44459 66764\n86210 100000\n41487 62296\n68353 100000\n60837 91265\n38443 57685\n55234 82861\n69625 100000\n75287 100000\n80662 100000\n51028 76582\n6464 9707\n35748 53653\n59556 89368\n44276 66497\n23972 35983\n63558 95335\n92659 100000\n77476 100000\n46680 70114\n24450 36707\n81754 100000\n95649 100000\n87813 100000\n81920 100000\n21109 31682\n41632 62519\n40832 61292\n75623 100000\n12759 19113\n31955 47975\n16693 25015\n26193 39294\n78699 100000\n29773 44682\n11835 17725\n82362 100000\n49604 74477\n67701 100000\n78425 100000\n39571 59392\n82872 100000\n42877 64408\n9615 14380\n97800 100000\n45043 67643\n34862 52341\n29819 44751\n77807 100000\n34619 51968\n56269 84418\n83678 100000\n46460 69781\n23012 34550\n29384 44108\n69562 100000\n51873 77848\n21408 32132\n32310 48513\n75303 100000\n85456 100000\n40321 60510\n97156 100000\n76264 100000\n98398 100000\n76021 100000\n83741 100000\n99478 100000\n45678 68580\n12025 18020\n91508 100000\n32334 48548\n38809 58247\n56227 84354\n70861 100000\n64668 97003\n18207 27316\n96123 100000\n12096 18116\n16445 24625\n8983 13444\n9323 13959\n65218 97822\n97593 100000\n39148 58755\n46323 69560\n8786 13155\n98415 100000\n39801 59734\n98958 100000\n46976 70546\n49500 74326\n30476 45761\n92090 100000\n64602 96906\n21173 31773\n38297 57466\n93404 100000\n39596 59433\n3632 5468\n9001 13471\n99050 100000\n79145 100000\n23840 35783\n52230 78376\n39304 58987\n30486 45775\n12182 18244\n64314 96475\n7536 11322\n22189 33330\n75102 100000\n1901 2850\n86232 100000\n97170 100000\n64433 96659\n6133 9216\n73173 100000\n75509 100000\n94856 100000\n56368 84569\n42388 63669\n76017 100000\n18141 27216\n43134 64799\n43599 65479\n30744 46165\n80019 100000\n59372 89096\n11746 17587\n93707 100000\n82425 100000\n16355 24488\n97645 100000\n73664 100000\n51541 77345\n16 23\n44092 66217\n68659 100000\n34797 52244\n46411 69706\n339 517\n91558 100000\n74536 100000\n47368 71144\n30583 45923\n87436 100000\n50393 75633\n26005 39005\n87739 100000\n12981 19451\n33604 50447\n17930 26910\n43843 65842\n86310 100000\n82808 100000\n47091 70727\n96751 100000\n62910 94373\n56661 85015\n6438 9669\n96364 100000\n6437 9667\n96117 100000\n84226 100000\n20394 30605\n32428 48689\n25355 38049\n60000 90027\n83536 100000\n21798 32736\n78098 100000\n80751 100000\n5460 8212\n99167 100000\n57909 86876\n70852 100000\n70930 100000\n41124 61740\n15323 22945\n58502 87798\n31442 47211\n30880 46369\n11453 17141\n44077 66194\n4960 7455\n24665 37039\n8183 12276\n34392 51639\n13915 20825\n98534 100000\n25064 37629\n44495 66818\n99145 100000\n5759 8660\n68845 100000\n40854 61329\n65122 97681\n18899 28350\n72791 100000\n71233 100000\n77636 100000\n36058 54121\n83679 100000\n60287 90450\n23725 35610\n9074 13579\n19600 29417\n46508 69857\n11013 16486\n89383 100000\n21876 32859\n52720 79115\n65056 97582\n86531 100000\n78152 100000\n79197 100000\n78969 100000\n26664 40002\n23419 35155\n72445 100000\n5058 7600\n99745 100000\n65899 98853\n53316 79993\n65040 97557\n36637 54977\n940 1415\n14179 21229\n63970 95956\n72788 100000\n56213 84335\n2352 3533\n12351 18498\n21898 32895\n94003 100000\n2616 3928\n33796 50742\n27006 40515\n39370 59091\n37734 56631\n66296 99447\n82914 100000\n16048 24031\n75090 100000\n1677 2512\n50882 76362\n97018 100000\n71123 100000\n20446 30691\n38651 57999\n92716 100000\n31213 46866\n2200 3297\n76421 100000\n68726 100000\n81480 100000\n14050 21029\n8495 12732\n39039 58590\n11631 17408\n89195 100000\n14367 21506\n12389 18555\n88271 100000\n25736 38605\n79376 100000\n81366 100000\n45782 68736\n7825 11750\n26361 39554\n38945 58447\n55322 82989\n38313 57489\n28810 43248\n48265 72471\n68227 100000\n71182 100000\n94471 100000\n1828 2744\n15073 22565\n43191 64881\n33669 50543\n73895 100000\n79677 100000\n21481 32239\n25922 38875\n3112 4677\n41094 61690\n70623 100000\n51212 76851\n29503 44285\n86996 100000\n51652 77520\n93221 100000\n72062 100000\n11549 17284\n5339 8024\n48159 72320\n97777 100000\n55289 82940\n69715 100000\n85461 100000\n87066 100000\n50580 75906\n44759 67200\n89865 100000\n46601 69995\n33020 49570\n22716 34103\n87539 100000\n46179 69337\n75571 100000\n55590 83402\n51050 76614\n68324 100000\n55348 83030\n74762 100000\n52124 78225\n92082 100000\n32457 48737\n60882 91333\n91381 100000\n61196 91797\n60173 90291\n54192 81314\n57127 85707\n72659 100000\n94875 100000\n96564 100000\n35593 53433\n37184 55800\n5042 7575\n73495 100000\n54731 82095\n88539 100000\n2119 3175\n80025 100000\n37262 55919\n29710 44594\n6060 9105\n43439 65246\n9093 13610\n55342 83021\n73959 100000\n54092 81166\n43707 65641\n28024 42070\n20261 30402\n46004 69073\n42396 63681\n19229 28852\n43892 65918\n40144 60245\n73417 100000\n58589 87928\n31461 47241\n12810 19196\n83178 100000\n80948 100000\n43133 64798\n24403 36635\n29350 44062\n9216 13797\n40233 60376\n91026 100000\n19755 29643\n59205 88842\n19785 29690\n173 265\n95355 100000\n82997 100000\n15529 23260\n14043 21018\n39244 58899\n62659 94006\n62151 93239\n30359 45577\n3208 4828\n99210 100000\n80535 100000\n55205 82820\n77666 100000\n47881 71911\n18329 27499\n82981 100000\n74057 100000\n25676 38518\n72166 100000\n7633 11466\n19127 28699\n7187 10792\n48870 73390\n15267 22853\n58668 88056\n83392 100000\n25231 37882\n67369 100000\n29029 43587\n25167 37783\n4953 7447\n67877 100000\n66944 100000\n68945 100000\n8101 12149\n33143 49753\n57271 85911\n51528 77325\n2603 3907\n6813 10227\n84407 100000\n1460 2185\n74605 100000\n89578 100000\n52064 78137\n90834 100000\n17948 26934\n77433 100000\n50819 76271\n99259 100000\n90720 100000\n31666 47534\n70899 100000\n60326 90508\n52341 78541\n76172 100000\n14930 22348\n80733 100000\n5833 8769\n18057 27089\n65513 98271\n88871 100000\n2871 4312\n56039 84073\n78077 100000\n29015 43567\n27498 41272\n68948 100000\n9530 14268\n38912 58396\n68923 100000\n44264 66479\n24152 36261\n17757 26646\n59030 88584\n55546 83337\n84148 100000\n11689 17503\n32162 48286\n11081 16589\n80065 100000\n26129 39186\n56663 85018\n83133 100000\n90243 100000\n85946 100000\n97559 100000\n52160 78279\n45523 68354\n36996 55521\n17065 25581\n11292 16903\n3206 4824\n38277 57438\n67707 100000\n19504 29272\n10717 16037\n42047 63143\n66036 99059\n76768 100000\n76088 100000\n32364 48594\n41268 61959\n37044 55592\n70962 100000\n80284 100000\n13142 19689\n70448 100000\n5173 7769\n32818 49273\n22233 33397\n84615 100000\n36093 54170\n35671 53544\n34942 52460\n88468 100000\n45410 68178\n40621 60966\n40943 61461\n13002 19483\n39199 58831\n62112 93176\n10444 15617\n51594 77427\n11316 16940\n36308 54487\n78444 100000\n19138 28715\n70131 100000\n54466 81715\n14530 21747\n15944 23868\n71013 100000\n8045 12070\n8703 13036\n29901 44880\n92792 100000\n67287 100000\n10539 15758\n27418 41139\n87645 100000\n95550 100000\n94832 100000\n37934 56936\n70660 100000\n70199 100000\n67990 100000\n31172 46808\n43858 65864\n91918 100000\n70115 100000\n44951 67500\n56831 85259\n97172 100000\n70353 100000\n14325 21442\n8902 13330\n16335 24460\n91210 100000\n1310 1942\n16061 24052\n60363 90567\n54460 81705\n58671 88061\n75759 100000\n67067 100000\n29486 44261\n36594 54918\n43438 65245\n95939 100000\n32535 48843\n96115 100000\n36221 54353\n55524 83304\n97367 100000\n71094 100000\n37313 55997\n75518 100000\n20030 30047\n81 124\n63766 95641\n2433 3650\n28843 43301\n39342 59046\n27535 41328\n17150 25714\n3980 6001\n74878 100000\n61697 92549\n49009 73601\n43279 65012\n62229 93358\n45238 67926\n90783 100000\n11405 17067\n56467 84723\n88170 100000\n84455 100000\n49350 74095\n27719 41602\n7575 11375\n90532 100000\n81642 100000\n75987 100000\n38524 57809\n15912 23821\n71055 100000\n91229 100000\n82728 100000\n36005 54038\n17057 25568\n36935 55426\n88013 100000\n57852 86791\n53738 80637\n92842 100000\n7797 11709\n29100 43690\n55853 83792\n19557 29354\n57625 86448\n19652 29493\n14081 21077\n55051 82574\n40340 60543\n98617 100000\n20692 31057\n28476 42751\n77457 100000\n55676 83527\n64102 96154\n96906 100000\n27972 41990\n57644 86476\n10718 16038\n49651 74541\n58146 87246\n50403 75646\n96785 100000\n86552 100000\n92073 100000\n4243 6382\n3133 4709\n83927 100000\n66631 99935\n48054 72171\n45250 67943\n7007 10519\n22222 33377\n39652 59511\n26909 40371\n69203 100000\n86778 100000\n21050 31590\n91821 100000\n12354 18503\n90719 100000\n41007 61555\n98859 100000\n81616 100000\n87349 100000\n60704 91070\n27263 40907\n88535 100000\n9704 14512\n75442 100000\n33556 50377\n74307 100000\n34477 51761\n76493 100000\n35163 52787\n6872 10321\n75968 100000\n97910 100000\n80032 100000\n91562 100000\n43258 64981\n3022 4545\n17875 26822\n44243 66450\n91183 100000\n93826 100000\n69163 100000\n54803 82203\n10175 15215\n80463 100000\n81655 100000\n51684 77567\n64642 96962\n15110 22621\n51792 77730\n54881 82319\n18450 27689\n24568 36892\n2701 4055\n2883 4331\n44652 67047\n20616 30951\n69551 100000\n75644 100000\n44632 67019\n68437 100000\n98065 100000\n37214 55846\n19963 29955\n13288 19912\n8464 12685\n56027 84053\n66758 100000\n49347 74090\n3777 5683\n15700 23507\n81148 100000\n91856 100000\n91723 100000\n4528 6810\n54368 81574\n39461 59227\n92914 100000\n55969 83965\n40941 61457\n2981 4486\n58461 87737\n4083 6156\n99866 100000\n32292 48484\n90789 100000\n40926 61436\n4763 7162\n69224 100000\n12623 18913\n98691 100000\n43737 65685\n86934 100000\n11348 16985\n95608 100000\n78461 100000\n99066 100000\n35703 53586\n25768 38656\n98978 100000\n1951 2922\n96301 100000\n28965 43490\n45844 68831\n40564 60878\n38933 58428\n48606 73002\n67343 100000\n90981 100000\n56490 84757\n91430 100000\n35063 52639\n84237 100000\n76289 100000\n60510 90786\n70116 100000\n90339 100000\n80356 100000\n37169 55775\n68002 100000\n39646 59502\n21230 31859\n97148 100000\n63865 95789\n39929 59931\n2294 3442\n81728 100000\n28819 43263\n60648 90988\n35376 53107\n10133 15155\n91420 100000\n38904 58383\n71727 100000\n10066 15050\n47709 71654\n96586 100000\n84915 100000\n8338 12501\n54406 81624\n90381 100000\n28798 43227\n5197 7806\n23142 34748\n16711 25038\n37597 56432\n14225 21301\n97540 100000\n58576 87910\n56204 84323\n53819 80758\n83023 100000\n25401 38120\n7051 10589\n72511 100000\n94935 100000\n59170 88789\n29705 44587\n6012 9028\n72587 100000\n84729 100000\n71329 100000\n65327 97995\n48485 72815\n35130 52735\n58523 87827\n1149 1710\n81285 100000\n14883 22278\n63405 95101\n80817 100000\n4392 6615\n60983 91480\n86975 100000\n54036 81085\n94883 100000\n64322 96487\n31498 47292\n13106 19639\n83394 100000\n22213 33363\n70692 100000\n58975 88500\n40871 61355\n43587 65465\n55855 83795\n14560 21795\n18573 27875\n23210 34847\n6454 9693\n46002 69070\n3577 5386\n78069 100000\n54398 81614\n34582 51917\n84124 100000\n38936 58433\n21835 32794\n14248 21331\n17224 25831\n40901 61401\n23571 35384\n28649 43012\n34821 52282\n63944 95912\n13325 19967\n41686 62600\n18075 27115\n61088 91637\n79253 100000\n1746 2620\n89003 100000\n55055 82580\n20234 30362\n47460 71284\n30507 45809\n33698 50590\n4557 6856\n26553 39840\n31370 47100\n55766 83662\n59702 89588\n87159 100000\n91892 100000\n23884 35847\n48272 72484\n7875 11823\n7841 11774\n78560 100000\n99799 100000\n56398 84614\n3590 5404\n46983 70557\n48954 73519\n37086 55653\n93561 100000\n38973 58491\n74813 100000\n5319 7996\n57915 86886\n9511 14238\n32939 49448\n38264 57416\n40559 60871\n38418 57647\n47486 71323\n97327 100000\n26048 39072\n30629 45993\n77046 100000\n30291 45478\n33815 50773\n57044 85592\n91642 100000\n55539 83326\n71806 100000\n24942 37450\n30284 45468\n70092 100000\n98354 100000\n23800 35724\n41815 62798\n3105 4668\n94892 100000\n75611 100000\n3143 4724\n25129 37724\n20823 31248\n57622 86445\n68148 100000\n81331 100000\n29994 45020\n32276 48462\n732 1103\n70794 100000\n78448 100000\n27192 40800\n99625 100000\n10757 16100\n26799 40209\n16504 24718\n23353 35060\n73813 100000\n58226 87372\n2421 3633\n44675 67079\n12730 19071\n52471 78739\n27419 41141\n10412 15567\n11509 17225\n87298 100000\n37008 55540\n29837 44780\n50868 76343\n72026 100000\n4688 7048\n51081 76659\n85382 100000\n21280 31935\n53992 81018\n23530 35328\n26372 39570\n55654 83499\n67179 100000\n87625 100000\n74785 100000\n55878 83827\n68579 100000\n2145 3213\n22588 33922\n8919 13353\n5732 8622\n56077 84130\n76337 100000\n18410 27629\n22576 33901\n97474 100000\n71060 100000\n72314 100000\n73380 100000\n55846 83778\n61650 92481\n46835 70346\n76278 100000\n57939 86921\n5472 8232\n95386 100000\n34664 52042\n61417 92132\n49254 73967\n97988 100000\n57651 86487\n63481 95216\n29172 43801\n17720 26587\n82950 100000\n8974 13432\n91822 100000\n42129 63264\n98389 100000\n91629 100000\n44041 66140\n26026 39038\n2818 4230\n71591 100000\n51290 76968\n78267 100000\n47693 71633\n14399 21549\n73468 100000\n13732 20549\n12948 19402\n6204 9319\n25850 38772\n79676 100000\n37584 56412\n95636 100000\n68440 100000\n68862 100000\n50694 76071\n13614 20380\n53838 80788\n82580 100000\n19942 29923\n37713 56599\n78423 100000\n58082 87143\n94978 100000\n68271 100000\n44335 66586\n61234 91857\n40467 60729\n34964 52494\n86029 100000\n12783 19155\n18714 28086\n58007 87021\n96015 100000\n74846 100000\n75598 100000\n13479 20188\n47685 71621\n79916 100000\n26426 39651\n88382 100000\n82545 100000\n73540 100000\n82548 100000\n51905 77894\n19740 29620\n20821 31246\n5190 7794\n97400 100000\n37898 56880\n39430 59178\n77743 100000\n43269 64996\n92615 100000\n17997 27000\n90587 100000\n14709 22016\n43759 65716\n30957 46487\n36649 54995\n79166 100000\n66076 99119\n44988 67561\n49936 74956\n15616 23388\n86650 100000\n70615 100000\n19302 28957\n90957 100000\n5744 8639\n38051 57104\n7740 11628\n26856 40297\n96020 100000\n23887 35852\n77208 100000\n74964 100000\n58615 87971\n27487 41251\n5036 7566\n69046 100000\n38024 57066\n90404 100000\n92495 100000\n89762 100000\n6617 9932\n28716 43106\n36739 55122\n83539 100000\n25164 37777\n79628 100000\n94973 100000\n14634 21903\n50905 76399\n49293 74018\n5935 8919\n29733 44627\n30143 45252\n67654 100000\n69444 100000\n6805 10216\n89318 100000\n63542 95311\n61123 91691\n53861 80821\n70384 100000\n96557 100000\n1862 2796\n33463 50231\n19006 28515\n5307 7977\n51226 76870\n74503 100000\n82553 100000\n62295 93456\n99688 100000\n53676 80541\n60745 91131\n1898 2845\n19122 28691\n89577 100000\n78883 100000\n37251 55902\n62462 93709\n56445 84691\n88142 100000\n49524 74359\n87501 100000\n86783 100000\n18879 28323\n83387 100000\n71649 100000\n93043 100000\n79101 100000\n42242 63435\n22893 34367\n48316 72553\n2464 3697\n65500 98253\n74325 100000\n49778 74730\n89614 100000\n49 72\n82780 100000\n27620 41450\n83430 100000\n6605 9915\n2089 3130\n71735 100000\n49112 73757\n59976 89993\n63012 94523\n48614 73012\n92445 100000\n33933 50959\n75998 100000\n14652 21931\n14606 21861\n84511 100000\n79226 100000\n45342 68078\n77872 100000\n35287 52975\n8493 12729\n59825 89772\n70690 100000\n37624 56472\n45683 68588\n97496 100000\n11599 17361\n13042 19544\n34506 51802\n92977 100000\n55256 82891\n18378 27577\n74630 100000\n6947 10431\n48201 72381\n87363 100000\n77331 100000\n49901 74911\n25906 38849\n43815 65798\n74098 100000\n12620 18908\n58278 87451\n4123 6211\n70493 100000\n98253 100000\n81242 100000\n21472 32227\n68257 100000\n6222 9343\n47025 70625\n52077 78157\n39585 59415\n55811 83725\n89149 100000\n61314 91976\n46760 70230\n90738 100000\n19934 29912\n51038 76595\n44164 66332\n96254 100000\n43666 65575\n3337 5020\n89160 100000\n46886 70417\n56459 84711\n37199 55821\n49768 74713\n22522 33821\n90548 100000\n3619 5447\n92979 100000\n65940 98917\n74601 100000\n37876 56848\n36365 54575\n44347 66605\n15409 23076\n32489 48782\n5821 8754\n19076 28623\n17606 26409\n47459 71282\n7608 11423\n71250 100000\n37573 56392\n84417 100000\n89234 100000\n31794 47733\n89086 100000\n25999 38994\n8758 13117\n69868 100000\n28450 42715\n2189 3280\n64648 96972\n63991 95984\n98961 100000\n55791 83699\n56336 84521\n74448 100000\n21411 32136\n72165 100000\n82786 100000\n89061 100000\n50866 76340\n95710 100000\n98320 100000\n7585 11389\n1692 2537\n19403 29112\n45001 67581\n32483 48772\n87563 100000\n8824 13212\n88659 100000\n12049 18052\n93111 100000\n36767 55164\n97776 100000\n2010 3011\n98935 100000\n13854 20732\n79505 100000\n91292 100000\n51232 76879\n83799 100000\n78882 100000\n47173 70853\n78415 100000\n10557 15785\n79767 100000\n53661 80521\n73877 100000\n48497 72835\n5644 8492\n30733 46148\n47945 72006\n36251 54403\n66059 99092\n6228 9353\n29660 44518\n42376 63648\n24997 37535\n70554 100000\n30220 45370\n30098 45177\n19412 29129\n34327 51544\n24293 36459\n24009 36046\n49957 74984\n42132 63269\n22050 33120\n61886 92832\n44392 66672\n84423 100000\n65030 97541\n43853 65857\n80348 100000\n35116 52713\n6392 9598\n10157 15188\n25630 38450\n40478 60746\n58086 87151\n34211 51368\n6261 9402\n67368 100000\n68295 100000\n74786 100000\n68276 100000\n81468 100000\n19510 29281\n40329 60524\n63953 95926\n58557 87880\n29940 44936\n98148 100000\n16451 24635\n3750 5642\n85433 100000\n91545 100000\n2521 3783\n41676 62582\n4874 7320\n12101 18123\n13961 20896\n41809 62789\n2535 3806\n99956 100000\n1632 2441\n97844 100000\n11215 16789\n58439 87699\n78451 100000\n11979 17951\n22568 33889\n90 141\n54038 81088\n19900 29859\n59132 88732\n61662 92498\n3650 5495\n27320 40994\n67750 100000\n45829 68806\n76432 100000\n41762 62719\n32062 48140\n55383 83081\n9680 14473\n69229 100000\n29634 44482\n31265 46941\n76697 100000\n44009 66095\n12036 18035\n33025 49580\n33600 50441\n38601 57927\n40378 60600\n15416 23087\n50367 75597\n42417 63716\n71096 100000\n83637 100000\n1364 2034\n16076 24075\n3754 5649\n1736 2606\n31325 47029\n60914 91379\n65157 97735\n69593 100000\n6864 10309\n951 1429\n46255 69458\n47141 70800\n90876 100000\n11120 16644\n55412 83130\n50473 75746\n19077 28624\n59734 89636\n98243 100000\n70864 100000\n17038 25538\n54602 81907\n66967 100000\n53843 80795\n1912 2866\n22187 33327\n84687 100000\n29266 43939\n74912 100000\n58616 87972\n18662 28006\n48143 72296\n5655 8508\n92983 100000\n48699 73143\n23282 34953\n87932 100000\n74629 100000\n9012 13486\n98948 100000\n46175 69332\n6635 9961\n48542 72898\n7311 10980\n66230 99354\n6692 10048\n37638 56492\n72302 100000\n5168 7762\n12355 18504\n47303 71048\n71420 100000\n74067 100000\n92847 100000\n55214 82831\n8655 12961\n30473 45755\n74044 100000\n4313 6491\n2783 4180\n52231 78377\n55808 83721\n6595 9902\n47679 71611\n49698 74611\n31960 47984\n41177 61820\n21005 31519\n70731 100000\n73313 100000\n32079 48166\n37719 56607\n7071 10617\n10705 16019\n8124 12179\n54575 81866\n37353 56055\n29841 44786\n7474 11229\n98508 100000\n4408 6636\n71679 100000\n29805 44730\n55549 83341\n2116 3170\n42490 63825\n96302 100000\n35351 53070\n81137 100000\n24016 36058\n32779 49213\n6031 9057\n25659 38493\n33793 50738\n88687 100000\n77584 100000\n99972 100000\n68745 100000\n20873 31325\n98195 100000\n66654 99968\n96181 100000\n64291 96440\n79203 100000\n82120 100000\n58486 87776\n52148 78261\n38342 57533\n91834 100000\n92350 100000\n95761 100000\n82214 100000\n4193 6313\n47039 70646\n95809 100000\n83355 100000\n49751 74687\n15590 23351\n2295 3443\n89392 100000\n94316 100000\n70673 100000\n831 1250\n95449 100000\n5358 8050\n80875 100000\n66035 99057\n74665 100000\n48045 72158\n29849 44800\n19648 29487\n10184 15225\n26226 39343\n5869 8827\n58131 87223\n70007 100000\n3149 4733\n93947 100000\n63245 94866\n50939 76446\n49960 74987\n30688 46084\n30822 46280\n80666 100000\n17154 25722\n18281 27428\n29814 44743\n34732 52145\n44552 66904\n37789 56715\n84460 100000\n92374 100000\n19584 29394\n59744 89654\n94383 100000\n98927 100000\n73011 100000\n67380 100000\n311 473\n81784 100000\n32269 48452\n52840 79302\n47150 70817\n63508 95258\n52120 78219\n55600 83417\n15216 22781\n72077 100000\n37668 56531\n5416 8141\n11156 16699\n38431 57667\n83408 100000\n54529 81803\n18551 27843\n48842 73348\n95738 100000\n83901 100000\n85752 100000\n4405 6631\n29485 44259\n46206 69380\n59508 89298\n42558 63924\n84012 100000\n91570 100000\n53363 80061\n28874 43347\n89197 100000\n56346 84537\n56527 84813\n70074 100000\n72851 100000\n20623 30959\n89892 100000\n32787 49226\n95531 100000\n47530 71385\n91352 100000\n72792 100000\n65117 97673\n66314 99471\n40502 60780\n19835 29765\n76093 100000\n86147 100000\n58376 87603\n89814 100000\n55625 83456\n28861 43330\n13570 20323\n66431 99650\n57074 85634\n71521 100000\n47422 71225\n34103 51222\n74013 100000\n6835 10261\n19043 28567\n47355 71123\n47188 70875\n25559 38343\n44125 66268\n17042 25545\n2169 3251\n75768 100000\n70768 100000\n91867 100000\n49647 74536\n91211 100000\n13955 20886\n872 1311\n79919 100000\n386 586\n25591 38392\n2405 3610\n97599 100000\n36119 54208\n61163 91749\n76101 100000\n14317 21430\n49941 74961\n6896 10356\n79756 100000\n14673 21963\n67861 100000\n25521 38293\n53770 80687\n46771 70247\n96987 100000\n48744 73205\n27982 42007\n17617 26427\n88453 100000\n14858 22241\n50960 76479\n23536 35336\n32438 48704\n93965 100000\n13484 20195\n47249 70967\n72120 100000\n60672 91023\n20379 30580\n72922 100000\n93464 100000\n27836 41780\n67846 100000\n11417 17083\n82018 100000\n37603 56441\n77571 100000\n85988 100000\n20160 30246\n16949 25404\n36883 55341\n57126 85706\n65870 98813\n77567 100000\n75154 100000\n7622 11448\n80685 100000\n44332 66582\n93903 100000\n97840 100000\n12713 19044\n56996 85514\n34982 52517\n25273 37942\n30351 45565\n97346 100000\n1732 2601\n59936 89939\n10404 15554\n40174 60288\n63779 95661\n58608 87960\n54434 81663\n4743 7132\n79661 100000\n77317 100000\n14805 22161\n88152 100000\n11241 16825\n74741 100000\n38017 57057\n42674 64098\n66729 100000\n53789 80717\n61341 92019\n89905 100000\n19394 29098\n47856 71873\n99796 100000\n10440 15610\n36501 54778\n92009 100000\n30364 45584\n13438 20131\n45530 68365\n70052 100000\n79627 100000\n52757 79179\n87365 100000\n25132 37729\n50857 76327\n39964 59979\n4530 6813\n20615 30950\n96992 100000\n46212 69391\n10880 16286\n97905 100000\n75131 100000\n3781 5689\n46150 69289\n45812 68781\n78237 100000\n17917 26888\n7649 11489\n18738 28122\n77346 100000\n89304 100000\n54579 81873\n41447 62235\n75512 100000\n58869 88355\n16836 25228\n25612 38423\n69881 100000\n84093 100000\n28326 42528\n50904 76398\n62558 93858\n39216 58858\n37071 55629\n88086 100000\n3627 5459\n351 534\n45258 67957\n64895 97340\n49126 73778\n50340 75559\n10145 15173\n59134 88735\n52752 79169\n64862 97291\n75305 100000\n92550 100000\n49673 74575\n91980 100000\n45811 68780\n91461 100000\n53289 79953\n30194 45330\n62868 94317\n82096 100000\n93507 100000\n31240 46903\n79081 100000\n85474 100000\n3197 4810\n41614 62493\n60224 90364\n13411 20093\n91571 100000\n12387 18552\n48899 73433\n58314 87510\n76758 100000\n98940 100000\n86529 100000\n38223 57358\n824 1239\n61611 92425\n73650 100000\n81792 100000\n43301 65045\n33491 50276\n32262 48442\n8965 13419\n33588 50424\n69189 100000\n27814 41748\n7040 10571\n88801 100000\n68623 100000\n12475 18690\n58932 88442\n16177 24220\n96490 100000\n73525 100000\n76740 100000\n29072 43648\n78467 100000\n24114 36206\n35044 52610\n21257 31897\n57590 86392\n71476 100000\n11315 16938\n44528 66868\n58734 88152\n6112 9185\n61134 91706\n14124 21144\n18629 27958\n5932 8915\n70000 100000\n36833 55263\n44141 66294\n28350 42564\n4149 6246\n28232 42388\n13245 19846\n36798 55209\n59402 89141\n35756 53665\n36120 54210\n17574 26356\n44787 67243\n88484 100000\n1850 2780\n80066 100000\n27512 41294\n26904 40365\n39702 59587\n68403 100000\n42287 63503\n84994 100000\n57654 86492\n88978 100000\n39617 59460\n50749 76163\n77164 100000\n98069 100000\n78064 100000\n59215 88856\n69947 100000\n27983 42008\n96213 100000\n41313 62030\n6962 10451\n62355 93546\n58331 87536\n65532 98299\n65942 98920\n9174 13734\n4984 7489\n56413 84639\n11313 16935\n16786 25150\n57048 85598\n87286 100000\n50051 75120\n83030 100000\n97235 100000\n10220 15279\n28455 42722\n28990 43527\n22939 34440\n5910 8886\n36151 54254\n6420 9643\n50053 75123\n75813 100000\n92579 100000\n47301 71046\n63350 95022\n94399 100000\n46828 70336\n19272 28911\n65777 98669\n83526 100000\n94796 100000\n55229 82854\n56672 85031\n69 105\n27044 40573\n60041 90094\n50223 75377\n33407 50147\n78126 100000\n9803 14665\n10593 15844\n87942 100000\n69938 100000\n55387 83086\n13198 19776\n83421 100000\n91427 100000\n87013 100000\n92055 100000\n77295 100000\n88345 100000\n82860 100000\n93885 100000\n87264 100000\n14156 21192\n93462 100000\n77706 100000\n71562 100000\n88071 100000\n6178 9283\n79268 100000\n9127 13660\n7219 10845\n6966 10455\n73952 100000\n15938 23858\n99118 100000\n43166 64846\n74033 100000\n83736 100000\n54013 81053\n40754 61172\n28740 43142\n99093 100000\n92002 100000\n77058 100000\n76730 100000\n45074 67689\n67625 100000\n77103 100000\n12545 18798\n88220 100000\n56261 84406\n72810 100000\n37578 56402\n98902 100000\n90523 100000\n36971 55481\n13499 20219\n59935 89937\n19629 29458\n39607 59446\n72620 100000\n51220 76860\n17325 25989\n35156 52776\n47786 71765\n64470 96720\n9479 14193\n38153 57259\n69672 100000\n30815 46270\n62230 93359\n98959 100000\n29438 44191\n56993 85508\n17358 26038\n11593 17351\n73504 100000\n76280 100000\n88741 100000\n67865 100000\n16114 24131\n13234 19829\n42000 63071\n79663 100000\n21463 32211\n60470 90724\n50015 75069\n20320 30491\n91223 100000\n83800 100000\n41672 62577\n95352 100000\n69777 100000\n52291 78462\n88521 100000\n4352 6553\n31823 47775\n3788 5702\n51966 77988\n7591 11397\n85042 100000\n64639 96957\n24314 36494\n11302 16920\n92562 100000\n93466 100000\n86674 100000\n54878 82314\n60460 90710\n88388 100000\n9105 13626\n91465 100000\n87351 100000\n64115 96172\n97374 100000\n1818 2729\n55762 83656\n95920 100000\n55148 82733\n28818 43261\n57327 85997\n80987 100000\n48978 73554\n23396 35120\n74734 100000\n17269 25903\n70846 100000\n76847 100000\n59254 88918\n37759 56668\n38042 57092\n51153 76764\n10395 15540\n18271 27414\n56000 84013\n48719 73170\n56281 84433\n74899 100000\n73730 100000\n12470 18681\n16319 24438\n79490 100000\n11413 17078\n20233 30360\n27038 40564\n92933 100000\n62248 93383\n71550 100000\n9122 13654\n51756 77671\n59226 88873\n78424 100000\n19663 29508\n57217 85839\n19295 28946\n7021 10542\n89566 100000\n77976 100000\n35933 53934\n63830 95736\n72847 100000\n83171 100000\n92619 100000\n19323 28988\n91540 100000\n20846 31281\n64782 97173\n48247 72443\n43985 66057\n85346 100000\n98780 100000\n48235 72426\n74799 100000\n36000 54030\n54782 82172\n33640 50502\n33124 49723\n33042 49605\n92966 100000\n77543 100000\n30788 46229\n14559 21794\n22371 33591\n5996 9008\n18060 27094\n74969 100000\n77873 100000\n16714 25041\n99798 100000\n16038 24015\n71839 100000\n96236 100000\n78225 100000\n85055 100000\n31284 46969\n91505 100000\n69252 100000\n85196 100000\n77284 100000\n20480 30743\n49159 73831\n36643 54987\n8502 12740\n49193 73877\n13839 20709\n32706 49099\n30514 45819\n11741 17579\n40835 61297\n82673 100000\n37570 56387\n39912 59907\n65484 98231\n86392 100000\n70600 100000\n2634 3958\n90413 100000\n484 732\n24384 36608\n52187 78313\n95362 100000\n78791 100000\n91969 100000\n89887 100000\n61416 92130\n81667 100000\n50475 75750\n50865 76338\n84214 100000\n99311 100000\n12860 19269\n25083 37657\n73262 100000\n50467 75736\n59209 88848\n61478 92229\n59027 88578\n24840 37296\n9920 14834\n66714 100000\n28465 42737\n72509 100000\n92134 100000\n67165 100000\n87894 100000\n86331 100000\n53777 80698\n36080 54153\n50537 75839\n77603 100000\n52452 78710\n52612 78951\n28935 43443\n22303 33498\n68455 100000\n39144 58748\n88884 100000\n83258 100000\n25876 38809\n59708 89597\n3023 4546\n88991 100000\n98194 100000\n77698 100000\n69282 100000\n63303 94951\n96914 100000\n74332 100000\n7859 11798\n1358 2023\n70110 100000\n86853 100000\n57378 86073\n69791 100000\n88934 100000\n51628 77478\n17916 26887\n71385 100000\n10467 15650\n36264 54421\n86132 100000\n18371 27565\n44068 66181\n38753 58161\n82606 100000\n22800 34228\n2543 3817\n86223 100000\n37006 55537\n92030 100000\n91853 100000\n35047 52614\n55960 83952\n90859 100000\n84602 100000\n99042 100000\n66569 99850\n23438 35186\n17682 26529\n73389 100000\n56323 84502\n52719 79114\n1463 2190\n59630 89478\n85247 100000\n73461 100000\n2711 4072\n71808 100000\n24789 37220\n42279 63492\n1319 1957\n26559 39848\n27250 40891\n58115 87198\n70098 100000\n31390 47130\n88915 100000\n87152 100000\n51085 76665\n14547 21774\n11993 17972\n61585 92388\n3261 4902\n44554 66906\n24083 36157\n70111 100000\n36088 54161\n29154 43773\n25259 37923\n97781 100000\n20170 30261\n76174 100000\n44921 67455\n79971 100000\n51662 77535\n96141 100000\n40979 61509\n87321 100000\n87143 100000\n9283 13899\n9629 14401\n41603 62474\n86183 100000\n1982 2970\n12053 18057\n28394 42631\n31444 47213\n6329 9508\n83109 100000\n9400 14071\n34501 51794\n87356 100000\n10276 15362\n55125 82696\n23056 34619\n27079 40631\n41273 61968\n58571 87903\n94122 100000\n41619 62500\n21968 33000\n52301 78476\n45527 68361\n90265 100000\n81406 100000\n39297 58977\n8763 13125\n47736 71695\n78895 100000\n99337 100000\n65469 98208\n51233 76880\n2118 3173\n14473 21663\n11899 17827\n99659 100000\n48571 72946\n72558 100000\n13339 19989\n63351 95023\n29523 44314\n76980 100000\n44246 66454\n22945 34448\n81304 100000\n61943 92917\n62666 94016\n34365 51597\n33469 50239\n11098 16615\n70540 100000\n94848 100000\n36819 55241\n9177 13739\n34363 51595\n30157 45271\n77945 100000\n25753 38632\n12816 19205\n58333 87539\n16671 24980\n67792 100000\n20474 30732\n60137 90235\n22667 34032\n93055 100000\n12599 18877\n98860 100000\n66096 99149\n22973 34490\n93361 100000\n88361 100000\n55129 82702\n29789 44707\n89932 100000\n46994 70573\n95970 100000\n50451 75716\n42621 64020\n51537 77340\n87461 100000\n56827 85254\n21653 32511\n84422 100000\n11188 16749\n96299 100000\n24871 37342\n19486 29244\n83475 100000\n23462 35224\n22957 34466\n21840 32801\n89219 100000\n79209 100000\n65919 98885\n24472 36743\n24740 37145\n39487 59267\n86156 100000\n80625 100000\n3259 4900\n3250 4888\n39970 59987\n40288 60460\n81819 100000\n75600 100000\n47922 71974\n83320 100000\n69659 100000\n67122 100000\n82625 100000\n22227 33386\n34745 52164\n90929 100000\n26996 40501\n30524 45835\n33036 49596\n89298 100000\n48932 73487\n60084 90158\n54695 82040\n54220 81357\n88922 100000\n1762 2642\n5652 8504\n29341 44048\n92299 100000\n8491 12726\n24576 36903\n23019 34561\n4890 7350\n89414 100000\n59052 88614\n93386 100000\n76650 100000\n98311 100000\n21258 31899\n88823 100000\n80401 100000\n80583 100000\n44356 66619\n1034 1547\n90203 100000\n37544 56345\n7501 11268\n79399 100000\n43718 65658\n6996 10502\n16097 24105\n17565 26344\n44144 66299\n89678 100000\n99102 100000\n55805 83718\n7339 11024\n69226 100000\n73580 100000\n51157 76769\n98496 100000\n20401 30617\n71698 100000\n79270 100000\n83376 100000\n88337 100000\n68097 100000\n65110 97663\n93324 100000\n85421 100000\n8896 13319\n30761 46192\n96981 100000\n99172 100000\n39738 59645\n27912 41898\n35841 53796\n73641 100000\n17838 26766\n42238 63429\n23763 35667\n72647 100000\n15832 23700\n84437 100000\n43309 65060\n68595 100000\n78778 100000\n32569 48894\n94536 100000\n6021 9042\n52892 79378\n69539 100000\n33893 50897\n69526 100000\n63137 94713\n10871 16273\n52947 79459\n59904 89884\n17795 26701\n89378 100000\n97633 100000\n67069 100000\n40759 61181\n8129 12189\n76426 100000\n11612 17379\n21429 32163\n20144 30221\n77253 100000\n24794 37226\n72551 100000\n20945 31434\n64228 96338\n77444 100000\n63402 95098\n70763 100000\n15747 23575\n94365 100000\n16788 25153\n58257 87421\n62923 94393\n73433 100000\n42040 63134\n23603 35433\n17299 25950\n74607 100000\n40721 61123\n76714 100000\n56450 84700\n13798 20646\n39876 59853\n71830 100000\n3881 5845\n25587 38388\n18881 28325\n36889 55352\n75698 100000\n50162 75289\n39046 58600\n57039 85586\n39658 59520\n93997 100000\n79387 100000\n48288 72510\n97075 100000\n42603 63991\n17889 26843\n40443 60696\n60104 90189\n46276 69489\n46849 70363\n79597 100000\n81040 100000\n48841 73347\n26700 40058\n80553 100000\n7576 11377\n71073 100000\n52619 78963\n63355 95029\n4648 6989\n32313 48519\n32163 48287\n54229 81371\n62839 94273\n99676 100000\n45832 68810\n97968 100000\n63638 95452\n94686 100000\n40985 61519\n57061 85617\n61332 92005\n84446 100000\n51494 77272\n95653 100000\n28597 42935\n64840 97259\n9253 13850\n29934 44927\n14213 21282\n82603 100000\n81133 100000\n41694 62612\n48414 72706\n93222 100000\n87568 100000\n24612 36957\n71634 100000\n15676 23474\n59384 89113\n11183 16741\n32961 49480\n36796 55206\n51278 76950\n91056 100000\n87247 100000\n73299 100000\n87554 100000\n40114 60204\n9916 14829\n93139 100000\n52742 79150\n59893 89870\n22043 33111\n10836 16219\n90217 100000\n74934 100000\n80101 100000\n3001 4515\n35923 53919\n78471 100000\n87555 100000\n94313 100000\n5355 8045\n29756 44660\n28860 43329\n48160 72322\n6274 9424\n48787 73271\n8341 12505\n60961 91448\n58835 88296\n25944 38908\n58311 87506\n31199 46844\n93309 100000\n5305 7975\n21606 32432\n49385 74143\n55428 83155\n77692 100000\n76643 100000\n46273 69484\n78443 100000\n23373 35089\n15811 23674\n63546 95316\n84384 100000\n28775 43196\n41573 62427\n10873 16277\n46977 70548\n66781 100000\n66129 99201\n91644 100000\n93315 100000\n98573 100000\n1345 1998\n30345 45556\n73358 100000\n40360 60574\n33320 50021\n39459 59224\n91259 100000\n82395 100000\n78655 100000\n36065 54132\n49191 73874\n26246 39375\n44845 67338\n14016 20980\n2764 4152\n8460 12680\n78449 100000\n83728 100000\n64550 96830\n63618 95422\n39520 59315\n41194 61848\n40966 61489\n83512 100000\n34721 52130\n93146 100000\n81546 100000\n58374 87600\n48670 73096\n82510 100000\n75675 100000\n668 1012\n75937 100000\n2219 3329\n20407 30626\n59228 88877\n95662 100000\n6590 9896\n26519 39787\n13357 20017\n68174 100000\n64004 96007\n49052 73662\n77150 100000\n63661 95487\n82932 100000\n89596 100000\n73918 100000\n39261 58924\n41775 62738\n58351 87563\n73677 100000\n35959 53970\n56773 85173\n82703 100000\n89534 100000\n61009 91519\n79138 100000\n61217 91831\n54527 81801\n7338 11023\n29544 44348\n66777 100000\n80113 100000\n87259 100000\n74840 100000\n92093 100000\n28366 42589\n15253 22834\n37599 56435\n57634 86461\n57788 86690\n89365 100000\n26053 39080\n96653 100000\n27759 41664\n83667 100000\n30752 46179\n81903 100000\n82289 100000\n32513 48813\n13466 20171\n2842 4264\n93304 100000\n16000 23956\n41470 62269\n94611 100000\n82404 100000\n95569 100000\n52848 79313\n31725 47618\n53160 79771\n12631 18926\n79165 100000\n82438 100000\n27848 41799\n16609 24892\n31941 47954\n65100 97648\n30411 45659\n89385 100000\n88985 100000\n65407 98109\n68252 100000\n66971 100000\n26040 39061\n20301 30464\n59674 89548\n97622 100000\n40867 61347\n15866 23754\n22155 33279\n29930 44920\n47653 71571\n74779 100000\n39333 59033\n28580 42907\n8149 12221\n44841 67331\n15597 23359\n11104 16623\n48995 73581\n22380 33604\n97621 100000\n66606 99902\n28499 42786\n69484 100000\n32123 48232\n33444 50201\n80810 100000\n23061 34627\n55804 83717\n9494 14216\n89756 100000\n35057 52629\n21718 32607\n54161 81268\n76916 100000\n3171 4765\n17438 26159\n6852 10290\n23851 35797\n8361 12532\n15086 22584\n96945 100000\n77942 100000\n23742 35635\n28004 42036\n11523 17246\n83721 100000\n8900 13326\n21221 31847\n1444 2159\n30269 45447\n43268 64994\n77135 100000\n43063 64687\n38108 57192\n17223 25830\n58294 87476\n95026 100000\n56666 85023\n15970 23910\n60661 91006\n92955 100000\n79524 100000\n2213 3320\n84096 100000\n31607 47454\n83888 100000\n43968 66029\n12990 19464\n2297 3445\n25622 38439\n19074 28619\n35449 53217\n25189 37815\n35288 52976\n17029 25525\n35999 54029\n68538 100000\n96176 100000\n54480 81735\n96616 100000\n84630 100000\n28102 42189\n79440 100000\n80129 100000\n5551 8352\n62918 94385\n82649 100000\n48638 73047\n41761 62717\n46869 70393\n44533 66877\n87676 100000\n10194 15239\n84639 100000\n9585 14340\n95512 100000\n34758 52186\n14077 21070\n98360 100000\n42237 63427\n24183 36304\n39077 58647\n47981 72058\n74139 100000\n13133 19676\n57032 85574\n74784 100000\n70778 100000\n83902 100000\n72704 100000\n58873 88360\n36030 54080\n6260 9400\n80649 100000\n19478 29232\n18544 27833\n9265 13868\n47169 70848\n23898 35868\n89899 100000\n48766 73238\n65626 98445\n37298 55974\n32542 48852\n33307 50001\n4096 6173\n7617 11438\n39336 59038\n35452 53221\n89550 100000\n60578 90885\n77780 100000\n89446 100000\n77547 100000\n15304 22912\n19983 29979\n48739 73198\n71318 100000\n53691 80565\n16703 25028\n77453 100000\n83918 100000\n995 1490\n71936 100000\n36722 55098\n1741 2612\n18716 28089\n57695 86549\n31601 47445\n9169 13726\n28311 42510\n87621 100000\n18798 28209\n32266 48448\n62143 93226\n88763 100000\n6285 9445\n69014 100000\n92345 100000\n38836 58283\n64331 96501\n98535 100000\n16411 24570\n1926 2889\n54168 81277\n45871 68872\n73326 100000\n86397 100000\n5478 8242\n31770 47695\n44022 66111\n82030 100000\n69358 100000\n61014 91528\n1972 2956\n46834 70345\n40578 60899\n87093 100000\n16197 24253\n86381 100000\n27856 41811\n41985 63050\n36989 55509\n38521 57805\n92010 100000\n97294 100000\n19374 29067\n98284 100000\n56724 85106\n42326 63570\n44744 67178\n42208 63383\n9881 14782\n85979 100000\n7418 11143\n72794 100000\n36792 55200\n3409 5133\n91179 100000\n26853 40293\n67863 100000\n336 511\n37311 55994\n48946 73509\n47705 71649\n10884 16291\n81234 100000\n37275 55938\n83754 100000\n77387 100000\n96017 100000\n10278 15365\n38699 58076\n31474 47260\n89637 100000\n52616 78957\n45751 68693\n89834 100000\n65727 98597\n73821 100000\n38014 57053\n26908 40370\n19684 29539\n29568 44385\n16610 24893\n69970 100000\n48003 72093\n82283 100000\n15852 23732\n45512 68337\n81421 100000\n60602 90922\n42886 64421\n8168 12250\n52981 79506\n77755 100000\n1073 1603\n17423 26135\n43206 64903\n3375 5079\n19659 29503\n13141 19687\n24532 36838\n71819 100000\n751 1130\n54882 82320\n60966 91455\n64253 96376\n26090 39132\n91999 100000\n46589 69977\n10067 15052\n44015 66102\n63387 95076\n19781 29684\n80853 100000\n51745 77654\n17602 26401\n19364 29053\n44708 67125\n64926 97389\n62966 94456\n52881 79363\n94942 100000\n17921 26895\n11224 16799\n95541 100000\n65815 98724\n45634 68516\n88601 100000\n79092 100000\n95331 100000\n86587 100000\n30976 46516\n82647 100000\n38653 58002\n40145 60246\n77466 100000\n40176 60292\n80999 100000\n12721 19056\n6956 10443\n62601 93924\n84984 100000\n40076 60147\n3092 4649\n27541 41337\n54566 81855\n39958 59971\n42944 64509\n68968 100000\n65223 97827\n10714 16033\n78607 100000\n99078 100000\n14294 21396\n60122 90214\n57051 85602\n36752 55143\n9735 14557\n23733 35622\n25600 38405\n7282 10936\n56620 84954\n64402 96607\n93766 100000\n84900 100000\n24966 37488\n31049 46628\n84327 100000\n26575 39870\n39436 59188\n13138 19683\n30299 45490\n32249 48420\n29248 43913\n23523 35317\n15518 23245\n74085 100000\n79589 100000\n98186 100000\n11730 17563\n26774 40172\n6767 10161\n38598 57922\n97202 100000\n33977 51026\n63468 95196\n27875 41839\n88401 100000\n81418 100000\n3106 4670\n29019 43574\n42013 63093\n35126 52729\n42773 64256\n4386 6608\n11769 17621\n81944 100000\n73686 100000\n74637 100000\n93620 100000\n66581 99866\n78004 100000\n82431 100000\n36470 54729\n94882 100000\n32142 48259\n37305 55985\n98525 100000\n80253 100000\n85658 100000\n21682 32553\n7917 11880\n21740 32644\n57849 86786\n90225 100000\n58763 88194\n45071 67685\n68079 100000\n97904 100000\n74021 100000\n29364 44080\n10196 15241\n35117 52715\n51796 77736\n64134 96201\n87502 100000\n37831 56779\n70818 100000\n19064 28600\n47132 70788\n73780 100000\n76688 100000\n24174 36291\n32927 49433\n67717 100000\n48517 72866\n33724 50631\n30915 46425\n91752 100000\n41102 61702\n72811 100000\n76385 100000\n19988 29984\n57736 86609\n74646 100000\n43138 64804\n32326 48536\n9002 13472\n30879 46368\n47788 71768\n71000 100000\n62223 93347\n82496 100000\n53549 80353\n78811 100000\n47917 71966\n82562 100000\n68655 100000\n75874 100000\n17947 26932\n46613 70014\n89348 100000\n92624 100000\n13568 20319\n73371 100000\n21399 32118\n54887 82326\n19425 29148\n3042 4572\n31410 47162\n3039 4567\n51335 77032\n69270 100000\n72933 100000\n70398 100000\n74508 100000\n77715 100000\n58076 87133\n4939 7422\n19472 29223\n82550 100000\n25272 37940\n38213 57341\n98081 100000\n95390 100000\n60935 91412\n1004 1504\n84826 100000\n44870 67378\n87308 100000\n43534 65380\n87706 100000\n48521 72870\n20077 30120\n90521 100000\n19923 29893\n88807 100000\n38815 58257\n54314 81502\n29585 44409\n46463 69786\n64095 96145\n66625 99925\n43797 65773\n99996 100000\n13980 20926\n51974 77999\n33649 50515\n56903 85366\n31299 46990\n56088 84144\n55187 82793\n90121 100000\n73698 100000\n48909 73450\n22739 34139\n41582 62440\n15763 23603\n44602 66975\n85705 100000\n95562 100000\n18934 28406\n54422 81646\n89981 100000\n4713 7087\n14401 21552\n82513 100000\n50985 76517\n82764 100000\n81638 100000\n89449 100000\n51669 77547\n26852 40292\n31622 47477\n5329 8010\n47489 71329\n50324 75534\n38722 58111\n85216 100000\n43227 64936\n41162 61797\n79599 100000\n80496 100000\n68793 100000\n64114 96171\n56538 84830\n51433 77180\n28195 42331\n39440 59195\n11802 17676\n66817 100000\n74965 100000\n54582 81879\n73076 100000\n60848 91282\n89571 100000\n21135 31716\n85213 100000\n35847 53804\n59827 89775\n85846 100000\n65551 98326\n47841 71851\n64424 96644\n55104 82662\n35470 53247\n89102 100000\n87507 100000\n52482 78756\n21450 32192\n69296 100000\n17162 25736\n30867 46351\n28470 42743\n17670 26511\n58501 87797\n30756 46186\n37237 55881\n29684 44555\n66695 100000\n84604 100000\n86884 100000\n91513 100000\n73910 100000\n2785 4183\n35348 53066\n48930 73483\n39577 59402\n41880 62894\n1932 2897\n36331 54522\n50375 75607\n34303 51504\n36111 54198\n1441 2156\n50699 76078\n8433 12638\n61321 91988\n29923 44910\n43697 65624\n81509 100000\n21597 32419\n14754 22085\n78066 100000\n50242 75408\n14595 21847\n2625 3945\n51775 77701\n41575 62431\n52037 78097\n64512 96777\n25160 37772\n4067 6131\n11337 16971\n38083 57153\n82969 100000\n14504 21709\n25229 37878\n35633 53491\n42872 64400\n76723 100000\n96309 100000\n67595 100000\n72676 100000\n89207 100000\n40428 60674\n201 308\n7111 10673\n2952 4442\n2174 3259\n4190 6308\n42760 64235\n93975 100000\n86966 100000\n76932 100000\n16915 25353\n66008 99019\n55727 83604\n73323 100000\n86773 100000\n84999 100000\n39687 59564\n85729 100000\n89108 100000\n18943 28419\n99144 100000\n67310 100000\n75091 100000\n50555 75870\n48502 72844\n81066 100000\n53633 80480\n78955 100000\n55752 83641\n1943 2911\n37588 56417\n19009 28520\n51645 77507\n68410 100000\n8634 12929\n66688 100000\n25539 38315\n38584 57900\n85954 100000\n75234 100000\n56200 84318\n86302 100000\n70307 100000\n58451 87721\n61093 91645\n57568 86362\n10534 15753\n78317 100000\n45960 69005\n75003 100000\n99461 100000\n62285 93443\n59526 89324\n76040 100000\n17900 26861\n33753 50678\n64781 97172\n53663 80523\n86212 100000\n2289 3435\n97971 100000\n30958 46488\n44985 67558\n46936 70489\n24224 36362\n8096 12142\n47648 71563\n3768 5670\n96126 100000\n39524 59321\n62322 93495\n43879 65899\n17830 26754\n20352 30540\n40954 61474\n87516 100000\n99914 100000\n25477 38227\n51845 77804\n75517 100000\n81222 100000\n39754 59669\n86878 100000\n87510 100000\n41223 61889\n45990 69051\n67793 100000\n71877 100000\n61260 91897\n37208 55834\n24990 37527\n4622 6952\n71324 100000\n97514 100000\n32599 48941\n3120 4690\n49214 73909\n95782 100000\n6482 9734\n33722 50627\n89554 100000\n92809 100000\n83811 100000\n75901 100000\n60337 90526\n4705 7073\n19047 28573\n51640 77497\n19331 29001\n46029 69109\n25824 38735\n67804 100000\n3026 4551\n84181 100000\n50350 75573\n74088 100000\n9332 13973\n3251 4889\n85940 100000\n7141 10716\n34059 51157\n3043 4574\n5855 8806\n36799 55211\n23131 34730\n84211 100000\n47545 71410\n1680 2516\n59767 89689\n90668 100000\n37840 56791\n9831 14706\n75702 100000\n97970 100000\n3473 5232\n42757 64230\n69227 100000\n79159 100000\n57759 86642\n20622 30958\n10047 15017\n4554 6851\n29823 44756\n36497 54772\n3652 5498\n80097 100000\n57918 86891\n69019 100000\n19150 28734\n92787 100000\n25534 38309\n64167 96251\n97396 100000\n2813 4224\n75919 100000\n94963 100000\n937 1409\n14094 21096\n99938 100000\n40294 60468\n54982 82474\n38102 57183\n32684 49068\n41256 61940\n46146 69283\n99933 100000\n18942 28418\n65242 97859\n69737 100000\n40002 60031\n57114 85689\n33203 49840\n30888 46381\n75536 100000\n29916 44902\n12879 19299\n22290 33481\n77420 100000\n92666 100000\n88730 100000\n48456 72769\n92858 100000\n14095 21098\n31814 47765\n86266 100000\n17136 25691\n28827 43276\n8826 13216\n54569 81859\n55162 82756\n99681 100000\n18303 27461\n81766 100000\n65925 98894\n65649 98475\n6292 9456\n8171 12255\n98858 100000\n90596 100000\n69398 100000\n65279 97919\n81858 100000\n8727 13067\n21102 31669\n14717 22027\n11936 17885\n20531 30822\n63975 95963\n72161 100000\n65996 99003\n93952 100000\n60728 91105\n86597 100000\n23153 34764\n32920 49423\n10555 15782\n91897 100000\n48084 72211\n33266 49940\n75835 100000\n2635 3960\n41260 61946\n83446 100000\n67739 100000\n471 713\n89856 100000\n70498 100000\n65751 98630\n26238 39362\n17085 25610\n48315 72552\n25201 37834\n2158 3235\n15392 23051\n2964 4462\n28755 43167\n81388 100000\n17249 25873\n66094 99145\n14701 22004\n10515 15724\n32359 48586\n4374 6589\n297 450\n59278 88954\n17147 25710\n65047 97567\n86180 100000\n11576 17324\n94210 100000\n49615 74492\n15772 23617\n52020 78071\n44085 66206\n96722 100000\n83778 100000\n79192 100000\n66376 99570\n32371 48603\n65450 98177\n34929 52440\n45436 68221\n98511 100000\n58650 88027\n61834 92755\n79458 100000\n35741 53642\n63083 94631\n39013 58554\n46558 69932\n545 822\n70638 100000\n49684 74591\n35721 53612\n8331 12491\n35377 53108\n75908 100000\n54316 81505\n69901 100000\n90024 100000\n92273 100000\n80232 100000\n81899 100000\n97750 100000\n39697 59580\n40723 61126\n57892 86853\n63422 95127\n69634 100000\n755 1137\n88425 100000\n43170 64853\n81136 100000\n14697 21997\n87065 100000\n6803 10214\n13613 20379\n55996 84008\n20870 31320\n93188 100000\n86542 100000\n37837 56787\n30253 45421\n75497 100000\n35484 53264\n61143 91717\n51139 76745\n42782 64268\n14490 21686\n39268 58934\n98509 100000\n65642 98465\n23989 36015\n31801 47745\n34178 51321\n38744 58146\n95868 100000\n50995 76533\n19316 28977\n89694 100000\n96038 100000\n49721 74645\n8838 13231\n44117 66257\n83834 100000\n8328 12488\n24006 36041\n62685 94045\n99835 100000\n36283 54448\n92734 100000\n37306 55986\n86662 100000\n69294 100000\n76796 100000\n96692 100000\n13821 20683\n9073 13578\n65385 98079\n86732 100000\n33520 50322\n2598 3899\n65388 98083\n15275 22867\n87251 100000\n72979 100000\n14714 22023\n83752 100000\n33223 49872\n23181 34806\n25113 37699\n65353 98035\n25653 38485\n42807 64307\n65509 98265\n39063 58622\n94715 100000\n45828 68804\n94268 100000\n10177 15218\n39539 59342\n93541 100000\n63148 94729\n12260 18356\n90380 100000\n71694 100000\n85950 100000\n71171 100000\n51971 77996\n31222 46880\n82961 100000\n76109 100000\n88867 100000\n63441 95155\n88404 100000\n88649 100000\n6206 9322\n59457 89223\n91832 100000\n31635 47493\n85657 100000\n97874 100000\n33103 49692\n99661 100000\n12571 18837\n85362 100000\n80293 100000\n52162 78281\n19686 29542\n55613 83436\n61665 92502\n51416 77157\n68555 100000\n10344 15464\n44058 66166\n58998 88539\n15501 23222\n84838 100000\n68039 100000\n79054 100000\n3973 5991\n54333 81527\n48644 73056\n28069 42139\n47754 71718\n75236 100000\n15465 23169\n80537 100000\n74995 100000\n45451 68244\n48294 72519\n50629 75979\n93220 100000\n93390 100000\n94837 100000\n5507 8283\n70740 100000\n13436 20129\n41677 62583\n16095 24103\n12833 19229\n85226 100000\n41703 62626\n32286 48476\n74476 100000\n17512 26268\n79034 100000\n92059 100000\n24914 37408\n50705 76089\n73893 100000\n14869 22258\n139 213\n77741 100000\n41173 61812\n10897 16315\n83922 100000\n68572 100000\n13258 19868\n93323 100000\n68507 100000\n64221 96329\n45951 68993\n93428 100000\n49739 74670\n76299 100000\n37048 55597\n67716 100000\n65486 98234\n65008 97512\n94817 100000\n30181 45311\n4063 6126\n51470 77236\n30057 45116\n11329 16959\n57088 85653\n49163 73837\n9304 13930\n85514 100000\n75335 100000\n17044 25548\n41415 62188\n65235 97847\n8691 13016\n2890 4343\n44918 67450\n82005 100000\n48649 73066\n27326 41002\n47908 71954\n87449 100000\n46692 70131\n57340 86015\n43043 64662\n30903 46406\n42106 63230\n62320 93491\n72512 100000\n46043 69129\n41112 61720\n56837 85270\n1045 1562\n33580 50412\n60842 91273\n90648 100000\n87450 100000\n13579 20335\n12732 19074\n23053 34615\n45437 68222\n69561 100000\n50470 75741\n4005 6041\n32658 49031\n3636 5474\n99539 100000\n72886 100000\n25322 38006\n66282 99425\n34805 52258\n37681 56552\n59154 88764\n56979 85485\n61608 92421\n61617 92432\n43830 65823\n77895 100000\n75152 100000\n74727 100000\n37513 56297\n89166 100000\n75348 100000\n82365 100000\n21566 32366\n58015 87033\n89654 100000\n42689 64125\n14564 21801\n44060 66170\n43437 65243\n77617 100000\n40426 60671\n25227 37875\n95987 100000\n64039 96061\n74296 100000\n40297 60473\n74829 100000\n24540 36851\n82160 100000\n61029 91546\n28293 42482\n34409 51662\n61778 92667\n53076 79646\n30488 45778\n15372 23022\n70125 100000\n74189 100000\n66960 100000\n59173 88792\n76333 100000\n53410 80138\n57693 86547\n63600 95399\n42345 63601\n87137 100000\n83703 100000\n16454 24641\n55454 83195\n45057 67665\n82426 100000\n38950 58454\n22123 33234\n4237 6373\n8906 13335\n64188 96280\n47448 71265\n64439 96670\n87268 100000\n54667 81997\n3893 5863\n7857 11795\n59752 89666\n80176 100000\n86178 100000\n97689 100000\n39568 59387\n71831 100000\n24625 36975\n46721 70173\n20671 31027\n8195 12297\n43604 65486\n88275 100000\n60724 91099\n80708 100000\n26063 39096\n2237 3354\n69406 100000\n65374 98064\n71943 100000\n47381 71162\n18379 27578\n54751 82126\n72041 100000\n47066 70690\n63544 95313\n32317 48524\n35393 53127\n28983 43516\n52955 79471\n59824 89770\n58465 87743\n22468 33737\n71692 100000\n94292 100000\n40167 60278\n24869 37339\n21950 32970\n87677 100000\n73186 100000\n73531 100000\n93927 100000\n71167 100000\n13612 20378\n30271 45449\n56956 85450\n83207 100000\n90322 100000\n31015 46575\n46733 70189\n49239 73945\n42741 64205\n70987 100000\n73655 100000\n84166 100000\n36659 55011\n30088 45160\n63204 94808\n58565 87892\n43052 64674\n96073 100000\n35584 53418\n86945 100000\n78801 100000\n49184 73866\n38222 57356\n13031 19526\n30316 45512\n67158 100000\n88312 100000\n42489 63824\n35523 53322\n88458 100000\n96503 100000\n52941 79450\n96960 100000\n40044 60098\n48379 72649\n94790 100000\n64677 97017\n87576 100000\n5584 8401\n94564 100000\n27811 41743\n23102 34689\n65065 97597\n88746 100000\n60777 91179\n97612 100000\n73688 100000\n76725 100000\n59310 89001\n34830 52296\n61281 91927\n65908 98868\n3707 5581\n77766 100000\n91059 100000\n16398 24549\n86569 100000\n62589 93906\n35482 53262\n31835 47795\n39170 58788\n21077 31630\n34983 52518\n82042 100000\n11314 16936\n60771 91171\n67693 100000\n46826 70332\n87084 100000\n79788 100000\n45996 69061\n50185 75323\n28701 43087\n47474 71303\n90952 100000\n55818 83736\n98863 100000\n71942 100000\n52747 79160\n52590 78914\n38019 57059\n93087 100000\n61897 92847\n50871 76347\n51025 76577\n81933 100000\n97693 100000\n76925 100000\n91149 100000\n14268 21359\n46428 69731\n61037 91558\n64939 97411\n98753 100000\n39690 59568\n60694 91055\n3076 4625\n75379 100000\n16729 25063\n15749 23578\n10544 15764\n87776 100000\n42410 63703\n14777 22118\n81692 100000\n17142 25701\n14716 22026\n88392 100000\n75732 100000\n79385 100000\n11920 17860\n14170 21216\n75347 100000\n73506 100000\n26501 39760\n98160 100000\n42243 63437\n91270 100000\n74219 100000\n54581 81877\n13963 20899\n48424 72719\n76105 100000\n38090 57161\n92816 100000\n31293 46980\n43199 64891\n78164 100000\n89980 100000\n69234 100000\n81926 100000\n68753 100000\n63950 95921\n62359 93552\n86760 100000\n91220 100000\n50173 75305\n66922 100000\n23124 34719\n33370 50092\n69148 100000\n68061 100000\n57087 85652\n84904 100000\n13944 20870\n94706 100000\n31726 47619\n10430 15597\n53559 80368\n99560 100000\n58736 88154\n85390 100000\n59555 89367\n67327 100000\n4807 7222\n81274 100000\n10761 16105\n22825 34266\n18037 27060\n14998 22455\n72286 100000\n36536 54831\n65462 98197\n12982 19452\n33154 49769\n25478 38229\n74625 100000\n85343 100000\n79316 100000\n62035 93058\n25097 37675\n68309 100000\n38144 57246\n73203 100000\n11860 17763\n82074 100000\n59395 89130\n95241 100000\n57498 86259\n54071 81134\n69885 100000\n67597 100000\n76399 100000\n24313 36492\n34803 52254\n98658 100000\n91693 100000\n74215 100000\n80815 100000\n98819 100000\n31531 47339\n3576 5384\n55567 83367\n12736 19081\n64867 97300\n80258 100000\n13287 19911\n11529 17255\n14176 21225\n61784 92676\n77162 100000\n11406 17069\n74403 100000\n29758 44663\n10834 16216\n33302 49993\n3214 4836\n94771 100000\n47628 71533\n79658 100000\n78768 100000\n42816 64322\n73835 100000\n49895 74901\n15226 22795\n59771 89696\n93711 100000\n4388 6611\n84995 100000\n38548 57847\n95096 100000\n5575 8387\n97040 100000\n25028 37579\n81093 100000\n57867 86816\n2705 4061\n95065 100000\n2861 4293\n49886 74891\n4019 6062\n63119 94685\n22409 33645\n35578 53407\n47327 71080\n48282 72502\n32843 49308\n79650 100000\n79766 100000\n53772 80691\n83017 100000\n85379 100000\n31264 46939\n28973 43501\n63787 95674\n19838 29770\n34880 52371\n28375 42605\n3829 5761\n15505 23226\n40804 61249\n73808 100000\n6827 10247\n91428 100000\n49073 73696\n1195 1779\n82658 100000\n27576 41390\n30610 45963\n7132 10701\n88306 100000\n6287 9448\n2946 4433\n94416 100000\n22636 33989\n19601 29419\n67611 100000\n41966 63021\n89677 100000\n93960 100000\n41836 62830\n92817 100000\n75648 100000\n9578 14328\n67435 100000\n45174 67832\n55742 83628\n97870 100000\n41846 62844\n74424 100000\n48630 73037\n16087 24092\n64823 97231\n66111 99172\n77917 100000\n47345 71107\n86448 100000\n79255 100000\n38886 58356\n5233 7860\n35654 53520\n683 1035\n79080 100000\n95399 100000\n69996 100000\n55988 83995\n44818 67294\n5679 8544\n24751 37165\n52825 79279\n9523 14257\n84883 100000\n13095 19621\n2247 3369\n89572 100000\n70792 100000\n56456 84708\n4275 6432\n58109 87187\n41873 62886\n14527 21743\n80324 100000\n12276 18381\n91499 100000\n21 32\n84499 100000\n72590 100000\n33122 49721\n39984 60005\n65504 98259\n79774 100000\n50452 75718\n52782 79218\n77334 100000\n10753 16093\n9485 14201\n55847 83780\n87639 100000\n19372 29063\n19202 28809\n43083 64719\n51575 77396\n34539 51853\n87078 100000\n43169 64851\n36776 55176\n92895 100000\n18470 27719\n15948 23875\n41195 61850\n18363 27553\n15270 22858\n23772 35680\n17337 26005\n86955 100000\n77431 100000\n61 91\n95414 100000\n77147 100000\n2720 4088\n23957 35961\n93790 100000\n53520 80312\n1438 2150\n60872 91317\n3350 5040\n24653 37017\n73565 100000\n85466 100000\n72803 100000\n22622 33971\n25819 38729\n51196 76829\n41474 62275\n36773 55171\n33072 49649\n25974 38956\n51136 76741\n75315 100000\n96026 100000\n10324 15436\n71267 100000\n56130 84209\n20689 31053\n59802 89741\n11289 16900\n92926 100000\n6507 9773\n88467 100000\n96817 100000\n81922 100000\n33890 50893\n4367 6577\n86689 100000\n84381 100000\n94078 100000\n31606 47453\n3161 4752\n19261 28896\n14816 22181\n40221 60357\n73271 100000\n76987 100000\n44975 67540\n9740 14566\n43873 65888\n99568 100000\n73221 100000\n36675 55030\n27679 41543\n92042 100000\n32403 48650\n62566 93872\n44254 66464\n15415 23085\n73714 100000\n28536 42843\n86371 100000\n85526 100000\n97739 100000\n49304 74030\n81465 100000\n32328 48539\n8337 12500\n86957 100000\n63183 94777\n63900 95843\n8299 12448\n32540 48850\n25821 38732\n40093 60169\n20818 31241\n53178 79796\n47889 71926\n33911 50925\n28493 42777\n55349 83031\n46362 69623\n67479 100000\n99878 100000\n72116 100000\n57146 85733\n18723 28099\n87258 100000\n79239 100000\n58510 87809\n3091 4648\n41559 62408\n87875 100000\n58836 88297\n55109 82670\n31242 46907\n25958 38927\n5712 8594\n84348 100000\n83293 100000\n51243 76897\n11242 16827\n15045 22523\n30837 46303\n45700 68614\n52563 78878\n12528 18771\n62477 93731\n14692 21989\n74392 100000\n31453 47227\n4423 6655\n51349 77053\n12125 18160\n58048 87085\n66940 100000\n23078 34653\n34446 51718\n80491 100000\n87339 100000\n25806 38707\n17506 26258\n41145 61773\n67709 100000\n96974 100000\n64898 97345\n74004 100000\n1360 2027\n97241 100000\n17726 26596\n81977 100000\n29255 43926\n62553 93850\n82489 100000\n44007 66092\n22370 33589\n1110 1654\n69318 100000\n32551 48868\n41547 62388\n15108 22619\n723 1090\n45297 68011\n81241 100000\n34829 52295\n94341 100000\n74163 100000\n19371 29062\n80279 100000\n96014 100000\n66585 99871\n89241 100000\n68505 100000\n44278 66501\n88261 100000\n54387 81598\n25992 38983\n81294 100000\n23169 34789\n55426 83153\n94733 100000\n69554 100000\n23621 35461\n6851 10288\n73587 100000\n82352 100000\n32218 48370\n95657 100000\n29653 44510\n24952 37465\n94604 100000\n7342 11027\n99927 100000\n71905 100000\n42543 63901\n4133 6225\n34953 52477\n67458 100000\n31005 46561\n11908 17841\n5620 8459\n19020 28533\n53142 79746\n28765 43181\n40067 60132\n21991 33032\n3837 5774\n5599 8427\n61905 92862\n46260 69464\n75879 100000\n23686 35550\n74831 100000\n18347 27529\n22300 33495\n56087 84143\n98232 100000\n40077 60148\n78474 100000\n67694 100000\n29652 44509\n15980 23927\n38158 57264\n10424 15587\n79313 100000\n13049 19555\n41109 61715\n75941 100000\n53855 80812\n56024 84050\n74041 100000\n8273 12407\n65361 98046\n67478 100000\n31074 46666\n25840 38757\n85422 100000\n22013 33065\n83724 100000\n54948 82421\n29771 44679\n9131 13666\n71280 100000\n80555 100000\n76861 100000\n53748 80655\n98432 100000\n97734 100000\n52861 79332\n93542 100000\n18216 27329\n20829 31256\n53190 79814\n44040 66139\n50266 75444\n15764 23605\n73914 100000\n210 320\n91688 100000\n57172 85773\n97044 100000\n73553 100000\n84875 100000\n51327 77019\n19075 28621\n60008 90039\n79087 100000\n30108 45192\n83100 100000\n19409 29123\n65507 98262\n48662 73084\n46012 69084\n27236 40872\n32049 48122\n18236 27362\n35473 53251\n6791 10197\n99026 100000\n83157 100000\n50343 75564\n42205 63378\n8638 12934\n48186 72361\n9738 14562\n69650 100000\n42179 63338\n57848 86785\n91514 100000\n61459 92195\n93086 100000\n85558 100000\n55478 83231\n61042 91564\n68526 100000\n50731 76134\n59915 89904\n26598 39905\n31371 47101\n65389 98084\n80145 100000\n93899 100000\n97569 100000\n54778 82167\n85952 100000\n89952 100000\n81835 100000\n70884 100000\n50662 76027\n38717 58104\n16460 24651\n80111 100000\n98455 100000\n23927 35916\n87038 100000\n10546 15768\n18213 27325\n37123 55705\n33751 50676\n96876 100000\n38852 58308\n78003 100000\n56327 84508\n46665 70091\n72268 100000\n44618 67000\n90166 100000\n95538 100000\n10536 15755\n12247 18336\n78040 100000\n74173 100000\n15571 23323\n57151 85740\n25017 37563\n44524 66861\n22220 33374\n20804 31220\n21247 31882\n3548 5339\n24285 36446\n64834 97248\n91155 100000\n3762 5661\n5515 8296\n32680 49062\n28897 43386\n31460 47239\n72994 100000\n5352 8041\n45800 68765\n29429 44175\n50432 75687\n50446 75708\n86641 100000\n98977 100000\n37595 56429\n62916 94382\n34816 52274\n67875 100000\n58084 87147\n69504 100000\n30560 45888\n66851 100000\n77242 100000\n54118 81206\n72313 100000\n41789 62760\n78590 100000\n50924 76423\n81937 100000\n60921 91389\n74981 100000\n82143 100000\n88959 100000\n28804 43238\n56218 84343\n70054 100000\n24370 36586\n67081 100000\n81968 100000\n73927 100000\n11810 17689\n38162 57270\n58209 87345\n735 1107\n39125 58722\n43571 65438\n15211 22775\n58760 88190\n27704 41582\n92088 100000\n73090 100000\n66350 99528\n77459 100000\n11791 17657\n27058 40598\n42473 63799\n54275 81439\n73014 100000\n58447 87713\n44155 66316\n71847 100000\n15592 23354\n15277 22870\n78905 100000\n62017 93029\n2532 3800\n33772 50705\n35441 53204\n36237 54377\n93609 100000\n24460 36724\n83505 100000\n93539 100000\n26240 39365\n2035 3048\n71845 100000\n63070 94610\n48799 73288\n27426 41153\n41219 61885\n8196 12298\n29577 44399\n47581 71461\n20843 31277\n69028 100000\n88816 100000\n66402 99608\n15284 22881\n89170 100000\n53548 80352\n79830 100000\n15134 22652\n6875 10325\n2554 3833\n92382 100000\n54463 81710\n41238 61912\n8647 12950\n47394 71184\n18780 28183\n53958 80967\n43354 65123\n1400 2092\n41825 62815\n15051 22531\n80563 100000\n70587 100000\n11747 17589\n36481 54745\n34491 51779\n69333 100000\n15445 23134\n35549 53363\n23326 35022\n94873 100000\n13418 20103\n28752 43162\n1495 2239\n43360 65131\n87852 100000\n36644 54988\n98051 100000\n97384 100000\n61653 92486\n78646 100000\n96569 100000\n69437 100000\n77191 100000\n85769 100000\n53176 79793\n15032 22504\n44545 66895\n81623 100000\n92569 100000\n35096 52685\n48329 72574\n73304 100000\n60185 90311\n7368 11067\n11849 17746\n13442 20136\n64357 96539\n32105 48203\n77797 100000\n58450 87719\n95268 100000\n93005 100000\n58726 88144\n8639 12936\n90352 100000\n98364 100000\n94018 100000\n26441 39672\n65171 97756\n59701 89586\n95501 100000\n53910 80897\n92451 100000\n60111 90201\n84475 100000\n17293 25942\n44419 66711\n58911 88416\n5885 8850\n58620 87979\n4546 6837\n40851 61325\n97604 100000\n60896 91355\n31881 47866\n75715 100000\n64561 96844\n16425 24595\n4260 6409\n39298 58978\n70280 100000\n96888 100000\n6811 10224\n76181 100000\n10151 15181\n87767 100000\n25091 37669\n15820 23684\n60683 91040\n57579 86378\n48639 73049\n54557 81841\n64474 96726\n62521 93799\n58347 87558\n52898 79387\n49724 74649\n81946 100000\n81271 100000\n48551 72911\n22518 33816\n71633 100000\n49771 74719\n73636 100000\n96698 100000\n40587 60913\n25618 38432\n74974 100000\n99226 100000\n51626 77475\n49943 74964\n7951 11930\n13656 20439\n23971 35982\n48362 72623\n30792 46236\n32668 49045\n29044 43609\n16326 24446\n70990 100000\n3674 5531\n74212 100000\n2669 4006\n1939 2907\n91413 100000\n68037 100000\n7374 11077\n8322 12480\n20225 30348\n48500 72840\n19528 29311\n85652 100000\n92709 100000\n8540 12794\n63993 95988\n99480 100000\n23757 35658\n69795 100000\n19501 29268\n90094 100000\n57771 86665\n27334 41014\n9270 13876\n61965 92949\n61721 92585\n9020 13498\n67135 100000\n51888 77869\n48660 73082\n88349 100000\n61993 92992\n96285 100000\n88046 100000\n9364 14020\n43561 65422\n18616 27940\n10228 15293\n21198 31813\n34517 51819\n14786 22133\n19370 29061\n42670 64092\n77275 100000\n44926 67464\n40299 60476\n5865 8820\n61998 92998\n11672 17474\n72861 100000\n40215 60347\n2984 4490\n12803 19186\n76185 100000\n64654 96981\n126 192\n47790 71772\n65206 97807\n14302 21407\n71695 100000\n21335 32019\n12679 18996\n53060 79622\n33675 50552\n20533 30826\n69903 100000\n22386 33611\n71683 100000\n62164 93259\n12738 19085\n37906 56892\n87781 100000\n49718 74641\n25905 38848\n43702 65633\n45107 67734\n75863 100000\n40957 61477\n26907 40369\n40752 61169\n64953 97433\n58468 87747\n67001 100000\n10998 16463\n80728 100000\n62472 93724\n85168 100000\n20449 30695\n34824 52286\n30384 45612\n32941 49451\n67700 100000\n95055 100000\n48859 73373\n97231 100000\n45192 67856\n31363 47090\n35075 52657\n80534 100000\n16033 24005\n31001 46555\n49311 74042\n60002 90031\n15136 22656\n68820 100000\n67293 100000\n51412 77150\n21587 32402\n87119 100000\n36965 55469\n99025 100000\n71752 100000\n75996 100000\n38119 57211\n8744 13094\n61937 92907\n10495 15695\n29896 44872\n7872 11819\n61940 92912\n33999 51061\n87561 100000\n15513 23236\n56036 84069\n17241 25858\n28041 42099\n54530 81805\n63457 95178\n43980 66048\n20788 31198\n99427 100000\n5095 7654\n69292 100000\n83420 100000\n96770 100000\n94690 100000\n22541 33851\n54738 82104\n34111 51232\n54239 81385\n97697 100000\n64513 96778\n24094 36175\n70048 100000\n49722 74646\n90176 100000\n15041 22518\n16035 24009\n38923 58410\n69394 100000\n43528 65373\n55867 83810\n22459 33723\n70876 100000\n53447 80193\n67940 100000\n40005 60036\n62241 93372\n5196 7804\n8147 12218\n15850 23729\n16273 24368\n72048 100000\n30899 46399\n50931 76433\n85403 100000\n3740 5629\n41132 61753\n34494 51783\n618 933\n58402 87644\n91133 100000\n18218 27333\n81176 100000\n4412 6641\n80677 100000\n96348 100000\n29861 44820\n77877 100000\n51357 77065\n87535 100000\n35455 53224\n97442 100000\n4766 7166\n17977 26971\n48289 72512\n79171 100000\n68375 100000\n60080 90153\n17734 26607\n1209 1798\n74053 100000\n50548 75859\n59830 89779\n26401 39613\n47338 71096\n70557 100000\n71536 100000\n56225 84351\n59835 89787\n92248 100000\n81334 100000\n29772 44680\n94239 100000\n42765 64242\n5979 8983\n12856 19263\n14456 21639\n85243 100000\n80571 100000\n43259 64982\n37121 55701\n20332 30511\n59114 88706\n17633 26452\n17428 26142\n93608 100000\n8643 12943\n4813 7229\n9102 13621\n52772 79201\n84971 100000\n34581 51915\n23596 35420\n90114 100000\n3665 5517\n69567 100000\n52268 78431\n21698 32576\n49593 74459\n68468 100000\n59540 89345\n900 1355\n41024 61582\n71242 100000\n53032 79581\n96606 100000\n52810 79257\n83237 100000\n61402 92106\n91246 100000\n23077 34652\n45417 68189\n94490 100000\n91703 100000\n89674 100000\n22982 34504\n64153 96230\n68263 100000\n9861 14749\n50876 76354\n47510 71356\n61104 91662\n3552 5346\n71957 100000\n98210 100000\n19312 28972\n60980 91475\n94608 100000\n62225 93351\n1829 2746\n69810 100000\n72789 100000\n95284 100000\n4680 7039\n4224 6354\n40817 61267\n52826 79280\n43479 65300\n60985 91482\n86407 100000\n36961 55463\n8533 12783\n437 665\n13018 19510\n11601 17363\n96111 100000\n39250 58909\n66997 100000\n99754 100000\n24048 36104\n44612 66990\n30907 46413\n77264 100000\n21123 31701\n90948 100000\n18084 27131\n75046 100000\n77970 100000\n82871 100000\n26867 40314\n15563 23310\n4552 6847\n82759 100000\n55677 83528\n62890 94346\n7803 11718\n70546 100000\n91521 100000\n78252 100000\n84769 100000\n44321 66566\n31567 47391\n21807 32752\n28957 43477\n35547 53359\n30808 46260\n32716 49114\n3905 5884\n45775 68728\n92611 100000\n13872 20760\n76921 100000\n7972 11962\n82411 100000\n65090 97632\n20680 31043\n11637 17418\n44067 66180\n86430 100000\n27907 41889\n96638 100000\n26877 40326\n61527 92302\n33337 50045\n45454 68249\n66893 100000\n59135 88736\n77552 100000\n7724 11602\n87753 100000\n53704 80585\n37098 55669\n2670 4007\n24248 36394\n11042 16531\n99895 100000\n15030 22501\n425 647\n70566 100000\n12051 18055\n28624 42978\n22397 33628\n61927 92894\n73080 100000\n74664 100000\n88853 100000\n54817 82225\n39457 59221\n84777 100000\n17632 26451\n39356 59068\n29179 43810\n90423 100000\n66640 99948\n75177 100000\n284 427\n89927 100000\n87364 100000\n37746 56649\n74154 100000\n81308 100000\n78345 100000\n33297 49986\n59 88\n9333 13974\n46792 70275\n98298 100000\n54696 82042\n73252 100000\n77844 100000\n78828 100000\n98705 100000\n39017 58560\n53298 79966\n38047 57100\n89837 100000\n69361 100000\n45181 67842\n92149 100000\n41814 62796\n12765 19123\n72666 100000\n74432 100000\n65579 98369\n67632 100000\n5434 8173\n87021 100000\n37537 56332\n32346 48566\n62222 93346\n96504 100000\n73645 100000\n41230 61901\n31012 46570\n9415 14098\n44752 67192\n13345 19995\n44305 66540\n3312 4980\n7511 11285\n30937 46455\n33157 49774\n68876 100000\n43700 65630\n90407 100000\n79803 100000\n76757 100000\n72192 100000\n36375 54589\n55198 82808\n29629 44473\n90305 100000\n88768 100000\n1433 2141\n63847 95761\n24448 36704\n81503 100000\n98014 100000\n85960 100000\n58136 87231\n68385 100000\n32215 48365\n98309 100000\n29192 43830\n54704 82053\n41967 63022\n35660 53526\n73972 100000\n93136 100000\n22054 33127\n4494 6760\n46452 69770\n34932 52445\n12667 18979\n98242 100000\n63780 95663\n29006 43552\n83228 100000\n15613 23384\n38361 57558\n37754 56662\n19247 28874\n70669 100000\n5419 8146\n88432 100000\n21806 32750\n41005 61552\n5733 8624\n90319 100000\n75211 100000\n86262 100000\n33041 49604\n57098 85668\n6307 9474\n17966 26956\n42067 63173\n45852 68845\n69068 100000\n38897 58374\n45450 68243\n33396 50132\n25755 38635\n72633 100000\n86179 100000\n85158 100000\n94930 100000\n52438 78688\n373 566\n49208 73899\n20812 31233\n54823 82233\n25377 38083\n25 38\n39466 59235\n4611 6935\n85407 100000\n44215 66405\n7190 10796\n47011 70601\n12799 19180\n87076 100000\n67662 100000\n46900 70436\n23308 34992\n33908 50920\n42346 63603\n27411 41129\n89813 100000\n86321 100000\n97298 100000\n44778 67231\n84225 100000\n73125 100000\n82036 100000\n84792 100000\n23569 35382\n89089 100000\n27740 41635\n12845 19246\n84209 100000\n13659 20444\n39624 59469\n57363 86051\n32201 48345\n58328 87533\n43704 65636\n25565 38353\n72782 100000\n72702 100000\n53804 80736\n68620 100000\n75464 100000\n45830 68807\n34164 51298\n10852 16245\n25307 37987\n36438 54683\n66811 100000\n14263 21352\n75503 100000\n72381 100000\n55026 82533\n66626 99926\n59111 88701\n71884 100000\n10257 15336\n20915 31391\n41696 62614\n49668 74568\n66202 99313\n7033 10562\n52628 78976\n6795 10203\n75972 100000\n65614 98423\n78021 100000\n79030 100000\n59760 89677\n75191 100000\n73216 100000\n52511 78802\n88927 100000\n28729 43126\n62478 93733\n5995 9006\n35410 53154\n58885 88380\n91397 100000\n75490 100000\n51642 77501\n83316 100000\n77601 100000\n76735 100000\n99458 100000\n79679 100000\n33300 49991\n73660 100000\n9184 13750\n14905 22311\n97183 100000\n46128 69255\n51660 77531\n87958 100000\n37611 56452\n99992 100000\n35195 52837\n78117 100000\n15806 23666\n8226 12341\n25699 38549\n31874 47857\n20451 30698\n6769 10164\n43816 65799\n80901 100000\n35543 53353\n68175 100000\n42295 63515\n12657 18965\n65226 97833\n35535 53343\n58059 87105\n84952 100000\n13669 20456\n55870 83814\n18680 28034\n10298 15398\n65451 98179\n42053 63151\n43467 65284\n72200 100000\n99324 100000\n57329 85999\n99735 100000\n64804 97205\n12622 18912\n68532 100000\n61326 91996\n63218 94829\n27895 41873\n67241 100000\n98988 100000\n54902 82350\n67781 100000\n4723 7100\n42575 63947\n67510 100000\n87202 100000\n84081 100000\n70964 100000\n14563 21800\n34199 51351\n86093 100000\n10848 16238\n17698 26556\n32793 49234\n54047 81100\n22247 33419\n98873 100000\n15377 23028\n38567 57877\n98182 100000\n12918 19357\n63683 95517\n130 198\n31061 46646\n84080 100000\n18647 27982\n22056 33131\n48778 73256\n59186 88812\n15657 23447\n3180 4780\n15232 22806\n57555 86341\n95955 100000\n85942 100000\n3839 5777\n42359 63621\n35342 53058\n51834 77791\n23978 35993\n53244 79890\n79266 100000\n87836 100000\n94038 100000\n56893 85349\n28762 43176\n84620 100000\n4548 6840\n12927 19371\n59202 88838\n52204 78339\n67612 100000\n70758 100000\n44566 66921\n45626 68504\n10957 16401\n81490 100000\n87468 100000\n51167 76783\n67222 100000\n63176 94767\n35240 52906\n15757 23594\n86882 100000\n27001 40507\n41530 62360\n39384 59114\n88336 100000\n80986 100000\n56389 84599\n3759 5655\n86988 100000\n20517 30799\n27036 40560\n43450 65261\n67234 100000\n18185 27284\n43893 65919\n86252 100000\n60243 90390\n69067 100000\n50056 75128\n53544 80346\n88104 100000\n15902 23807\n66805 100000\n94368 100000\n95729 100000\n29899 44876\n8889 13308\n47313 71061\n76128 100000\n71721 100000\n84346 100000\n55084 82629\n12539 18789\n58721 88135\n70889 100000\n53400 80124\n30969 46505\n51271 76941\n14408 21563\n3242 4876\n85152 100000\n72910 100000\n89274 100000\n66501 99750\n98010 100000\n40973 61501\n17803 26713\n46649 70066\n31689 47566\n60815 91230\n94863 100000\n16658 24962\n32994 49532\n65219 97823\n90138 100000\n11945 17900\n79345 100000\n1876 2814\n23508 35294\n68154 100000\n51936 77938\n60042 90096\n20253 30389\n96851 100000\n8506 12746\n58480 87767\n90246 100000\n615 929\n1950 2920\n38785 58211\n95882 100000\n16886 25310\n4551 6846\n62584 93900\n51695 77582\n26108 39157\n62228 93356\n51200 76835\n97059 100000\n97981 100000\n15344 22978\n7075 10623\n23821 35756\n2206 3307\n95888 100000\n4269 6422\n82393 100000\n94529 100000\n92712 100000\n92797 100000\n31614 47464\n94449 100000\n32565 48889\n93142 100000\n46491 69831\n27628 41462\n16303 24413\n39942 59949\n14394 21542\n22919 34409\n83386 100000\n3037 4564\n43496 65329\n77505 100000\n57396 86103\n11923 17865\n91212 100000\n88722 100000\n62881 94335\n66814 100000\n87384 100000\n66849 100000\n21317 31993\n40154 60260\n71362 100000\n1768 2653\n70300 100000\n32475 48761\n96001 100000\n41485 62292\n29556 44366\n67840 100000\n96220 100000\n72469 100000\n75893 100000\n76394 100000\n59322 89017\n52543 78847\n5075 7627\n92981 100000\n17475 26212\n93677 100000\n15175 22719\n30531 45845\n53024 79570\n51606 77443\n67355 100000\n28370 42595\n40887 61381\n96438 100000\n20736 31118\n89593 100000\n99357 100000\n78489 100000\n66867 100000\n83960 100000\n35415 53163\n63940 95905\n3300 4961\n41974 63032\n57669 86511\n42338 63588\n96408 100000\n68527 100000\n72687 100000\n15418 23090\n53694 80570\n8624 12916\n13460 20160\n46713 70160\n95023 100000\n55666 83516\n39393 59129\n57697 86552\n70902 100000\n2051 3071\n53929 80925\n44182 66360\n81950 100000\n46529 69886\n45431 68212\n48955 73521\n43621 65510\n28328 42532\n34009 51076\n32281 48469\n65409 98112\n23474 35242\n35307 53003\n27050 40584\n86790 100000\n38814 58255\n33682 50564\n9985 14927\n55064 82596\n2939 4422\n75174 100000\n80023 100000\n26606 39916\n85899 100000\n31747 47658\n59602 89435\n88348 100000\n29828 44766\n63123 94691\n68736 100000\n10953 16394\n64189 96281\n59120 88713\n46753 70219\n209 319\n3320 4996\n8103 12151\n52805 79252\n86198 100000\n66062 99097\n33331 50036\n71842 100000\n45000 67579\n94005 100000\n31540 47350\n11488 17194\n44789 67245\n25671 38511\n40271 60434\n33623 50475\n24262 36412\n13808 20662\n79918 100000\n36969 55477\n88099 100000\n89512 100000\n97522 100000\n77898 100000\n73237 100000\n80079 100000\n50700 76079\n81158 100000\n50401 75644\n20980 31482\n90092 100000\n15345 22980\n77050 100000\n97375 100000\n76283 100000\n29176 43807\n58745 88167\n29220 43873\n42979 64564\n31466 47248\n86836 100000\n38782 58207\n66262 99400\n37007 55538\n80741 100000\n9211 13790\n73037 100000\n1135 1689\n13882 20776\n10258 15338\n61986 92981\n12328 18462\n40696 61085\n4653 6998\n25907 38850\n44603 66977\n16873 25286\n23070 34642\n73285 100000\n49562 74418\n70376 100000\n61242 91870\n97949 100000\n98724 100000\n86774 100000\n22621 33970\n94929 100000\n20058 30091\n46412 69708\n90264 100000\n67242 100000\n16277 24374\n78338 100000\n3074 4621\n56928 85404\n8977 13436\n17634 26454\n85283 100000\n87103 100000\n43153 64826\n20202 30313\n74932 100000\n74458 100000\n96318 100000\n93227 100000\n31942 47955\n61751 92630\n47438 71249\n76820 100000\n97995 100000\n78472 100000\n24994 37531\n50036 75099\n82191 100000\n4041 6094\n1707 2561\n73672 100000\n98854 100000\n42843 64358\n39036 58587\n16174 24216\n90417 100000\n30730 46143\n68247 100000\n11274 16877\n24960 37479\n88007 100000\n21155 31746\n90283 100000\n86168 100000\n90691 100000\n82265 100000\n53668 80530\n32701 49092\n17897 26857\n33967 51010\n11246 16835\n30889 46382\n5829 8764\n81032 100000\n47389 71176\n51807 77753\n7934 11903\n61413 92126\n47721 71674\n34638 52001\n49848 74833\n36968 55475\n34991 52532\n355 540\n35480 53260\n59410 89156\n36732 55114\n60706 91072\n81290 100000\n27713 41594\n22634 33987\n53599 80430\n980 1466\n22424 33669\n59611 89448\n71848 100000\n23817 35750\n79987 100000\n31249 46918\n49091 73724\n37585 56413\n36220 54351\n73470 100000\n50282 75468\n29546 44351\n58284 87459\n65068 97600\n81063 100000\n57035 85579\n88750 100000\n53725 80617\n67652 100000\n39937 59943\n57493 86250\n20052 30082\n7435 11171\n69102 100000\n159 241\n16887 25312\n76092 100000\n49694 74607\n72030 100000\n20793 31204\n41067 61646\n38863 58323\n84563 100000\n91735 100000\n29030 43588\n58664 88050\n91885 100000\n5524 8310\n11048 16542\n29208 43856\n49911 74923\n48335 72581\n68447 100000\n90868 100000\n49174 73852\n81287 100000\n37490 56264\n69547 100000\n75376 100000\n47462 71287\n49451 74248\n97984 100000\n81386 100000\n25392 38107\n47591 71475\n98732 100000\n56511 84789\n57800 86710\n99813 100000\n63331 94994\n73881 100000\n69447 100000\n37385 56104\n22015 33068\n41057 61631\n24219 36355\n6870 10318\n48130 72275\n29564 44378\n42677 64104\n68194 100000\n10380 15519\n94266 100000\n17788 26690\n78150 100000\n37304 55983\n65603 98405\n46096 69209\n81817 100000\n82338 100000\n38266 57419\n89236 100000\n24516 36813\n7818 11740\n84438 100000\n31216 46871\n18080 27125\n41176 61818\n7691 11555\n54456 81698\n71079 100000\n19670 29519\n34191 51339\n32305 48506\n91463 100000\n58405 87648\n95199 100000\n72715 100000\n89624 100000\n59552 89362\n184 282\n72061 100000\n31828 47783\n52509 78798\n81069 100000\n98363 100000\n84583 100000\n92645 100000\n56966 85465\n80408 100000\n24454 36714\n32587 48920\n41257 61942\n38023 57065\n64970 97456\n20674 31033\n59570 89389\n16616 24903\n58462 87738\n71152 100000\n28665 43036\n60614 90940\n94331 100000\n54658 81985\n22164 33290\n39796 59726\n15987 23936\n19812 29733\n30152 45266\n78418 100000\n24731 37129\n25393 38108\n5588 8409\n56111 84181\n1971 2955\n19916 29883\n64853 97277\n12162 18212\n87304 100000\n28789 43217\n11565 17308\n70435 100000\n69537 100000\n16865 25273\n93210 100000\n84749 100000\n37949 56960\n23014 34553\n40925 61434\n36324 54514\n26227 39344\n22751 34156\n58991 88527\n58744 88165\n53971 80988\n30029 45076\n29161 43783\n38822 58265\n98655 100000\n2895 4350\n17521 26281\n62977 94471\n36681 55041\n46155 69299\n51691 77577\n74121 100000\n64486 96745\n90520 100000\n27588 41404\n52739 79145\n91455 100000\n44229 66426\n75839 100000\n37379 56095\n96127 100000\n19400 29108\n6480 9732\n2429 3644\n67201 100000\n25933 38893\n53465 80224\n61564 92360\n39886 59870\n48341 72589\n22673 34040\n39864 59833\n41113 61722\n47497 71339\n77586 100000\n70942 100000\n47883 71915\n62436 93672\n86784 100000\n54335 81530\n90439 100000\n19225 28846\n32870 49347\n21297 31962\n7182 10782\n12413 18594\n26344 39526\n69072 100000\n87370 100000\n10781 16139\n96789 100000\n75915 100000\n88759 100000\n3843 5784\n42660 64076\n42810 64312\n26400 39612\n8386 12569\n88249 100000\n24652 37016\n26276 39421\n76015 100000\n38061 57118\n37874 56844\n54932 82399\n2754 4138\n66611 99909\n88233 100000\n44143 66297\n16544 24786\n45588 68448\n79446 100000\n24198 36326\n29138 43748\n64301 96455\n86375 100000\n2672 4011\n32674 49056\n11422 17090\n45287 67994\n20010 30015\n42028 63116\n95542 100000\n28049 42111\n50129 75236\n18228 27347\n32990 49527\n74444 100000\n37643 56500\n18272 27415\n73336 100000\n86861 100000\n14057 21038\n73741 100000\n9782 14632\n2700 4054\n16070 24064\n4151 6248\n77587 100000\n62252 93391\n59631 89479\n36640 54982\n27035 40559\n92316 100000\n84320 100000\n32225 48382\n81594 100000\n46899 70434\n11075 16580\n43291 65029\n88050 100000\n8229 12344\n44796 67256\n89030 100000\n68364 100000\n8585 12862\n37542 56341\n19566 29367\n72188 100000\n46087 69197\n36976 55490\n66914 100000\n49246 73956\n90537 100000\n34877 52366\n83476 100000\n39301 58983\n31908 47906\n66572 99853\n5499 8274\n76320 100000\n94026 100000\n73668 100000\n3798 5716\n59685 89564\n19974 29969\n2334 3504\n84105 100000\n47451 71271\n91031 100000\n53238 79880\n5740 8632\n24654 37019\n78689 100000\n83641 100000\n80517 100000\n84533 100000\n91321 100000\n28050 42112\n85722 100000\n90894 100000\n13743 20566\n48754 73220\n25037 37591\n40787 61224\n86358 100000\n77624 100000\n68811 100000\n9729 14549\n88242 100000\n46916 70459\n99973 100000\n52569 78887\n37929 56927\n83899 100000\n62275 93429\n67754 100000\n33970 51015\n11137 16671\n70610 100000\n91049 100000\n60858 91296\n23672 35529\n58655 88036\n41384 62142\n89262 100000\n78658 100000\n5791 8707\n51571 77390\n9273 13881\n43168 64850\n42631 64034\n81891 100000\n39281 58954\n17068 25587\n57508 86272\n83032 100000\n86372 100000\n78686 100000\n57989 86995\n67867 100000\n4519 6796\n3329 5007\n836 1258\n25566 38355\n77954 100000\n28131 42231\n64275 96414\n90686 100000\n34560 51882\n42945 64510\n85393 100000\n6034 9061\n69488 100000\n60227 90367\n75449 100000\n52279 78447\n45376 68128\n66258 99392\n81164 100000\n63514 95267\n28947 43462\n8975 13433\n70335 100000\n87684 100000\n167 254\n57202 85819\n20321 30493\n35953 53963\n97757 100000\n40632 60984\n81455 100000\n83895 100000\n15021 22490\n76637 100000\n51064 76634\n74609 100000\n79064 100000\n29328 44028\n62407 93625\n38894 58370\n23493 35270\n22624 33974\n2149 3219\n92213 100000\n18550 27841\n24249 36395\n88919 100000\n3628 5461\n23850 35796\n12212 18283\n48291 72515\n28087 42166\n82114 100000\n49934 74954\n26367 39562\n71254 100000\n78313 100000\n56417 84645\n52560 78874\n64807 97209\n51299 76978\n20922 31400\n85680 100000\n55461 83205\n819 1231\n45532 68367\n64451 96689\n42539 63896\n81165 100000\n23905 35879\n80042 100000\n29380 44102\n31346 47064\n6598 9907\n33033 49592\n21838 32798\n29450 44206\n13511 20236\n48244 72440\n81353 100000\n63461 95184\n76219 100000\n26847 40284\n1251 1857\n51650 77516\n84820 100000\n429 655\n89627 100000\n72044 100000\n16552 24798\n56619 84953\n78091 100000\n68881 100000\n36779 55181\n91323 100000\n10597 15849\n92586 100000\n94861 100000\n78442 100000\n6661 10004\n38166 57277\n31251 46921\n5066 7611\n18262 27399\n4142 6237\n24127 36225\n97087 100000\n91738 100000\n6526 9801\n78837 100000\n35861 53825\n75402 100000\n83757 100000\n68812 100000\n24176 36294\n35679 53554\n67533 100000\n53118 79710\n98687 100000\n81865 100000\n45590 68451\n97919 100000\n14732 22050\n91973 100000\n17625 26439\n6403 9617\n43742 65692\n54022 81066\n23355 35063\n62794 94203\n963 1444\n5458 8209\n53566 80380\n5049 7584\n63055 94585\n81994 100000\n68604 100000\n93760 100000\n11106 16625\n96881 100000\n38307 57479\n8023 12038\n2593 3890\n14584 21832\n48129 72274\n63712 95565\n25281 37953\n8394 12582\n81129 100000\n35274 52957\n62378 93583\n24277 36434\n88946 100000\n57483 86232\n67630 100000\n2342 3517\n50166 75296\n82183 100000\n26301 39461\n58816 88269\n76901 100000\n69276 100000\n49363 74115\n2499 3748\n90194 100000\n98931 100000\n37389 56110\n73100 100000\n97659 100000\n35820 53765\n72826 100000\n88266 100000\n75377 100000\n13239 19837\n22635 33988\n85511 100000\n70371 100000\n22448 33707\n17119 25661\n18710 28080\n13597 20359\n61415 92128\n95516 100000\n19241 28865\n1089 1621\n11512 17228\n7366 11064\n98285 100000\n42373 63643\n46901 70437\n57953 86943\n12563 18825\n52059 78130\n45696 68609\n49120 73769\n78879 100000\n43845 65844\n1080 1610\n62907 94369\n35631 53489\n86952 100000\n18029 27047\n75240 100000\n92292 100000\n98126 100000\n14465 21652\n63701 95546\n96901 100000\n33327 50031\n14381 21525\n41635 62523\n49384 74142\n95042 100000\n17076 25597\n2402 3605\n64201 96299\n15886 23783\n17954 26941\n74989 100000\n36355 54559\n83045 100000\n64768 97152\n4635 6971\n60311 90487\n15331 22959\n27409 41126\n14828 22198\n85890 100000\n84527 100000\n46661 70085\n8660 12969\n15881 23774\n89868 100000\n20709 31079\n67230 100000\n58682 88078\n17925 26902\n82330 100000\n40225 60363\n52076 78156\n74714 100000\n24943 37451\n63348 95018\n90573 100000\n80217 100000\n7836 11765\n15429 23109\n56430 84667\n60067 90131\n30297 45487\n7984 11980\n46966 70530\n2591 3887\n65402 98101\n60826 91249\n85112 100000\n19250 28879\n87498 100000\n53107 79692\n77385 100000\n32512 48812\n70597 100000\n27939 41941\n45185 67846\n8666 12979\n78171 100000\n16361 24498\n16627 24917\n48010 72103\n91213 100000\n85370 100000\n11789 17655\n19701 29564\n79037 100000\n30062 45124\n52713 79105\n28989 43526\n75619 100000\n37659 56518\n22658 34018\n45275 67979\n28488 42770\n74670 100000\n73984 100000\n75166 100000\n69192 100000\n78800 100000\n60827 91251\n66653 99967\n93651 100000\n192 295\n24778 37205\n7308 10974\n30423 45678\n35137 52747\n97768 100000\n24510 36804\n10483 15675\n7126 10692\n86520 100000\n46618 70022\n47067 70691\n51070 76644\n35071 52652\n64117 96175\n94684 100000\n71771 100000\n93010 100000\n70872 100000\n91826 100000\n80657 100000\n65893 98847\n80096 100000\n84609 100000\n23478 35248\n52014 78062\n68053 100000\n12188 18252\n52688 79069\n85489 100000\n25362 38061\n93503 100000\n20881 31337\n11342 16977\n96575 100000\n95830 100000\n25176 37797\n54517 81786\n49534 74374\n69876 100000\n82473 100000\n36070 54138\n85293 100000\n20534 30827\n20293 30452\n2430 3646\n62067 93111\n22901 34381\n97705 100000\n61840 92765\n41093 61688\n4208 6331\n64778 97167\n1246 1851\n98864 100000\n66910 100000\n85107 100000\n23506 35291\n8731 13073\n60159 90268\n96437 100000\n5951 8943\n27242 40880\n14142 21173\n82851 100000\n94697 100000\n10378 15515\n52551 78859\n5191 7796\n84933 100000\n59105 88692\n79321 100000\n87911 100000\n88499 100000\n64875 97311\n64631 96946\n57606 86419\n79111 100000\n73346 100000\n53976 80995\n90020 100000\n29744 44645\n90874 100000\n90977 100000\n5144 7728\n85986 100000\n54119 81207\n70183 100000\n40533 60829\n76390 100000\n50238 75400\n45783 68738\n63601 95400\n32107 48207\n67302 100000\n14911 22319\n71369 100000\n77401 100000\n57883 86839\n74416 100000\n10758 16101\n72220 100000\n82474 100000\n10524 15738\n62460 93707\n12525 18768\n98216 100000\n83928 100000\n71290 100000\n85531 100000\n57564 86357\n50402 75645\n29562 44376\n86720 100000\n21797 32734\n30081 45150\n91681 100000\n13475 20183\n6545 9831\n81128 100000\n34102 51221\n95254 100000\n85927 100000\n55486 83245\n14431 21599\n91189 100000\n74477 100000\n93318 100000\n79379 100000\n66293 99444\n88440 100000\n61089 91639\n34676 52061\n79104 100000\n5183 7783\n20395 30606\n8785 13154\n82284 100000\n30241 45401\n70757 100000\n96690 100000\n49079 73704\n88427 100000\n69806 100000\n21864 32839\n10510 15716\n22990 34518\n45080 67696\n56864 85306\n91471 100000\n78162 100000\n41111 61718\n24533 36840\n1445 2161\n3237 4870\n74137 100000\n26029 39043\n15495 23215\n26586 39886\n21652 32510\n66630 99934\n47681 71614\n32986 49521\n70039 100000\n50271 75452\n4966 7464\n49282 74005\n91337 100000\n97796 100000\n58047 87084\n18575 27877\n20319 30490\n15890 23788\n57021 85557\n4454 6699\n78567 100000\n79710 100000\n2308 3463\n45187 67849\n97594 100000\n90682 100000\n29502 44284\n69773 100000\n28247 42409\n26213 39326\n84509 100000\n22540 33849\n23402 35128\n39713 59605\n40895 61393\n59017 88565\n22408 33643\n93862 100000\n62707 94080\n42082 63194\n1270 1884\n6459 9700\n44220 66414\n28323 42524\n79864 100000\n65202 97802\n6753 10140\n8757 13115\n50798 76239\n36890 55353\n27273 40922\n28749 43157\n46836 70347\n49496 74319\n75931 100000\n16300 24408\n57309 85967\n10452 15629\n51927 77924\n27797 41723\n72749 100000\n73871 100000\n6699 10057\n87937 100000\n63099 94654\n62745 94131\n88579 100000\n79901 100000\n15452 23148\n71399 100000\n42899 64439\n86119 100000\n94401 100000\n75942 100000\n18200 27307\n33457 50221\n95711 100000\n18360 27548\n60038 90091\n12429 18621\n99245 100000\n20518 30801\n50862 76334\n35763 53676\n61481 92234\n30995 46545\n5303 7972\n76220 100000\n13976 20921\n85845 100000\n33015 49562\n78057 100000\n61248 91879\n59872 89836\n15547 23286\n82989 100000\n94086 100000\n15107 22617\n78007 100000\n67159 100000\n22266 33447\n28098 42182\n3766 5668\n38328 57513\n25462 38205\n86016 100000\n4573 6881\n40068 60133\n17823 26744\n55631 83464\n26357 39547\n24335 36529\n44317 66560\n50800 76242\n81584 100000\n74604 100000\n99919 100000\n90836 100000\n39921 59920\n27770 41684\n59066 88634\n40279 60445\n49075 73698\n98240 100000\n87158 100000\n13021 19514\n40798 61241\n21178 31782\n16005 23964\n75341 100000\n47724 71677\n65631 98452\n42705 64144\n62013 93023\n69818 100000\n78547 100000\n8402 12595\n85428 100000\n39372 59095\n31865 47843\n2250 3373\n83462 100000\n32594 48931\n25123 37714\n44747 67183\n38094 57169\n11148 16687\n93092 100000\n83106 100000\n14183 21234\n8825 13214\n19758 29648\n46363 69625\n73707 100000\n86517 100000\n40961 61483\n33105 49695\n29602 44432\n63752 95619\n49176 73855\n16799 25170\n309 469\n15979 23925\n27545 41342\n68341 100000\n45124 67760\n30378 45605\n22986 34510\n77941 100000\n97759 100000\n35714 53602\n79665 100000\n91143 100000\n22959 34470\n36790 55197\n39548 59354\n50405 75649\n35544 53355\n44604 66979\n16412 24572\n10347 15469\n71487 100000\n4882 7335\n87205 100000\n70361 100000\n24075 36145\n80509 100000\n59990 90013\n29459 44220\n26486 39737\n8432 12637\n30556 45881\n30702 46104\n30767 46200\n96132 100000\n34445 51716\n10180 15221\n8090 12132\n54139 81237\n77395 100000\n87387 100000\n59079 88655\n74150 100000\n30630 45995\n73483 100000\n72601 100000\n74781 100000\n23127 34724\n45517 68346\n34128 51250\n51035 76592\n42801 64298\n76673 100000\n12433 18627\n95035 100000\n36298 54472\n18324 27492\n30329 45533\n30606 45956\n66165 99254\n38127 57222\n56100 84164\n56526 84811\n36469 54727\n70253 100000\n37130 55715\n901 1357\n28673 43047\n47130 70785\n98735 100000\n4239 6376\n77174 100000\n15098 22603\n10162 15195\n73586 100000\n84106 100000\n50787 76223\n79542 100000\n19905 29867\n27495 41266\n22309 33506\n3181 4782\n76458 100000\n10206 15259\n48608 73005\n98526 100000\n38636 57975\n9936 14862\n65067 97599\n34 51\n85389 100000\n56171 84277\n91200 100000\n64388 96583\n61620 92436\n38026 57069\n50852 76318\n73995 100000\n47876 71902\n49420 74202\n733 1104\n37192 55812\n51805 77750\n18801 28214\n49844 74828\n72608 100000\n294 444\n23754 35655\n45540 68377\n76506 100000\n90470 100000\n92924 100000\n80388 100000\n77077 100000\n35481 53261\n86971 100000\n87322 100000\n52109 78204\n46612 70013\n4641 6980\n48972 73544\n14285 21381\n43847 65847\n369 558\n11116 16639\n11448 17134\n73060 100000\n62899 94359\n98756 100000\n17914 26885\n43963 66022\n17184 25772\n6627 9946\n59971 89987\n82132 100000\n7646 11485\n11140 16676\n11817 17700\n83331 100000\n20618 30953\n76950 100000\n39085 58661\n76085 100000\n37499 56276\n72711 100000\n20794 31205\n73797 100000\n13577 20333\n11767 17618\n17045 25550\n15250 22830\n84355 100000\n97112 100000\n4011 6049\n74523 100000\n41538 62373\n38784 58210\n66417 99629\n42748 64216\n59044 88604\n36991 55513\n73023 100000\n92934 100000\n74474 100000\n90979 100000\n43193 64884\n71300 100000\n10351 15473\n88762 100000\n7692 11556\n69391 100000\n81056 100000\n41863 62870\n88396 100000\n5516 8297\n23015 34554\n34216 51374\n92555 100000\n3347 5035\n85281 100000\n87055 100000\n27475 41232\n44320 66564\n61899 92851\n10470 15654\n1286 1907\n32645 49012\n95908 100000\n11934 17881\n76902 100000\n87989 100000\n73706 100000\n42780 64265\n46757 70224\n60524 90807\n46794 70277\n70536 100000\n81528 100000\n6621 9938\n22411 33648\n82492 100000\n44257 66468\n82876 100000\n30048 45102\n32377 48611\n11873 17786\n16971 25440\n65362 98048\n91842 100000\n82486 100000\n76549 100000\n69668 100000\n23846 35791\n45958 69002\n56392 84604\n38467 57719\n31081 46677\n97859 100000\n87642 100000\n29827 44764\n7078 10627\n46143 69279\n92694 100000\n48771 73246\n89097 100000\n9282 13897\n32670 49049\n49220 73916\n43965 66025\n47055 70673\n28283 42467\n45961 69007\n28056 42119\n52726 79124\n71342 100000\n99971 100000\n24434 36680\n79439 100000\n3814 5741\n56577 84886\n45883 68892\n80742 100000\n64523 96793\n82518 100000\n26167 39252\n58541 87854\n56488 84753\n42464 63784\n3391 5103\n24686 37068\n20271 30419\n41347 62082\n94917 100000\n58837 88299\n99643 100000\n72486 100000\n61006 91515\n55682 83535\n9000 13469\n2383 3578\n46755 70222\n78907 100000\n97544 100000\n34656 52030\n5304 7973\n70862 100000\n63140 94719\n5950 8941\n8600 12882\n68116 100000\n65143 97713\n65188 97779\n91138 100000\n82885 100000\n93742 100000\n41884 62900\n32222 48377\n85457 100000\n53756 80666\n94094 100000\n93198 100000\n22094 33187\n53937 80938\n49988 75030\n48541 72897\n25277 37948\n73489 100000\n10801 16166\n61981 92974\n98543 100000\n45904 68924\n12966 19427\n45382 68138\n82668 100000\n70126 100000\n42221 63404\n68637 100000\n19966 29958\n76684 100000\n70441 100000\n46795 70279\n93372 100000\n38115 57205\n3126 4699\n49711 74631\n25517 38287\n59713 89605\n67084 100000\n54362 81565\n99463 100000\n78515 100000\n89768 100000\n79828 100000\n15954 23883\n48890 73420\n49670 74571\n79645 100000\n42926 64481\n83087 100000\n13367 20033\n64803 97203\n14244 21326\n38334 57522\n75786 100000\n32950 49464\n64266 96399\n32004 48051\n22785 34204\n21035 31568\n22602 33942\n26761 40151\n12375 18536\n24443 36695\n35211 52863\n60107 90193\n59493 89277\n87670 100000\n65616 98426\n53461 80218\n24490 36774\n90153 100000\n23336 35034\n78339 100000\n57765 86653\n16901 25331\n80219 100000\n20060 30095\n29921 44907\n25023 37571\n76810 100000\n96359 100000\n21136 31718\n92973 100000\n27931 41929\n8363 12535\n59110 88700\n86090 100000\n81054 100000\n39470 59242\n8933 13373\n90145 100000\n3116 4684\n59634 89483\n75314 100000\n45207 67878\n79812 100000\n46127 69253\n64382 96575\n30184 45315\n96 150\n34762 52192\n47244 70959\n2501 3751\n63813 95711\n55182 82785\n77343 100000\n57930 86908\n44423 66715\n37282 55950\n12353 18501\n31590 47427\n37125 55707\n70976 100000\n85807 100000\n7135 10706\n74334 100000\n7227 10857\n40865 61344\n64471 96721\n74060 100000\n64930 97397\n63538 95303\n76763 100000\n35742 53643\n1363 2032\n30016 45056\n14688 21984\n71335 100000\n6324 9499\n66730 100000\n97972 100000\n90323 100000\n60843 91274\n48704 73150\n57839 86773\n93424 100000\n78364 100000\n73700 100000\n6065 9114\n93421 100000\n64841 97261\n73145 100000\n11503 17217\n94132 100000\n33837 50808\n45728 68658\n97295 100000\n16674 24983\n94767 100000\n56642 84989\n72223 100000\n59489 89270\n64340 96514\n63790 95678\n9136 13672\n32856 49323\n53296 79963\n8714 13053\n9504 14229\n14535 21754\n96508 100000\n56299 84460\n12719 19053\n82435 100000\n25135 37733\n61524 92296\n83929 100000\n59557 89369\n33248 49911\n7387 11096\n18367 27559\n67316 100000\n98795 100000\n69376 100000\n5056 7596\n47152 70820\n30890 46384\n32499 48796\n61859 92795\n41161 61796\n92541 100000\n40888 61383\n51663 77537\n80936 100000\n32120 48227\n69838 100000\n41322 62043\n4492 6757\n3633 5469\n66739 100000\n45610 68482\n38091 57163\n59639 89490\n50310 75511\n8366 12539\n18510 27777\n90992 100000\n97506 100000\n90663 100000\n18664 28010\n64740 97110\n39533 59334\n19895 29853\n98876 100000\n53846 80799\n38881 58349\n39425 59170\n61741 92615\n60426 90663\n23758 35660\n50820 76272\n54059 81117\n91990 100000\n28264 42439\n11325 16954\n79391 100000\n2150 3221\n81675 100000\n77700 100000\n77434 100000\n73001 100000\n61008 91517\n18323 27491\n35042 52608\n49067 73687\n84463 100000\n22141 33259\n8477 12706\n69157 100000\n3441 5183\n80350 100000\n69733 100000\n42109 63235\n59273 88945\n99460 100000\n89472 100000\n41947 62992\n64822 97230\n88865 100000\n45349 68090\n946 1422\n64947 97425\n24569 36894\n23749 35648\n1896 2843\n29074 43651\n18784 28190\n54568 81858\n45159 67811\n17321 25983\n77684 100000\n25783 38676\n59294 88979\n82043 100000\n57393 86097\n9377 14038\n20834 31264\n60165 90278\n18402 27617\n94683 100000\n43861 65868\n37025 55565\n18008 27014\n10358 15484\n31516 47315\n93275 100000\n88110 100000\n64274 96413\n7733 11617\n59732 89632\n89634 100000\n9008 13481\n29915 44901\n37290 55963\n30144 45253\n35256 52930\n57562 86353\n74368 100000\n61476 92226\n77043 100000\n72898 100000\n87196 100000\n25359 38056\n22281 33469\n79466 100000\n4868 7312\n54484 81741\n68875 100000\n18569 27869\n57347 86026\n35932 53933\n82579 100000\n89537 100000\n17367 26051\n91028 100000\n71215 100000\n39258 58920\n41975 63033\n18083 27129\n18923 28389\n20522 30809\n31748 47659\n72780 100000\n77705 100000\n95047 100000\n31671 47540\n36780 55182\n6404 9619\n10938 16372\n94093 100000\n87665 100000\n27051 40585\n41099 61699\n9822 14694\n19037 28558\n1393 2083\n81471 100000\n6544 9829\n8918 13351\n39986 60007\n86755 100000\n24273 36428\n90165 100000\n48203 72383\n93648 100000\n4525 6805\n79758 100000\n94188 100000\n70591 100000\n31492 47284\n76175 100000\n6054 9094\n13220 19809\n81693 100000\n10435 15605\n43411 65207\n81127 100000\n3831 5764\n93176 100000\n86942 100000\n5859 8811\n78839 100000\n39498 59282\n28591 42925\n253 384\n38139 57238\n56665 85021\n55857 83798\n6582 9886\n22097 33193\n69023 100000\n33529 50336\n1153 1716\n68463 100000\n70797 100000\n91695 100000\n18805 28218\n9723 14540\n3446 5191\n9153 13701\n79688 100000\n22045 33115\n15085 22583\n90332 100000\n65523 98288\n62390 93601\n56040 84075\n5688 8558\n24421 36661\n58184 87301\n28013 42051\n23535 35335\n5697 8571\n68327 100000\n70851 100000\n79121 100000\n96328 100000\n31296 46986\n46974 70542\n47929 71983\n90549 100000\n75308 100000\n86887 100000\n17597 26394\n36887 55349\n73357 100000\n50465 75734\n31659 47524\n10729 16054\n87300 100000\n78871 100000\n75944 100000\n51753 77666\n36218 54349\n16728 25062\n8992 13458\n53050 79606\n78274 100000\n77887 100000\n6168 9268\n76858 100000\n88027 100000\n77018 100000\n26423 39647\n75475 100000\n66468 99705\n53101 79683\n80609 100000\n19327 28996\n4954 7448\n54825 82236\n52241 78391\n39212 58853\n55441 83176\n82091 100000\n14596 21848\n28833 43285\n34744 52163\n77100 100000\n35249 52919\n79562 100000\n23156 34769\n65575 98363\n28185 42317\n20411 30632\n82663 100000\n23293 34967\n83009 100000\n63484 95221\n86092 100000\n83002 100000\n52394 78621\n80522 100000\n8897 13321\n14540 21763\n48453 72765\n31976 48010\n85311 100000\n31829 47784\n63552 95326\n38268 57421\n44544 66893\n44868 67376\n35808 53748\n28296 42485\n49963 74992\n22100 33197\n76634 100000\n97465 100000\n55440 83174\n31030 46599\n78724 100000\n96858 100000\n43676 65592\n54943 82414\n11773 17627\n14498 21701\n17297 25947\n67955 100000\n91209 100000\n67635 100000\n53020 79565\n21265 31911\n64673 97011\n4294 6462\n9263 13865\n45442 68230\n6001 9015\n92160 100000\n49435 74223\n44341 66595\n17407 26110\n91288 100000\n74532 100000\n57179 85783\n89431 100000\n8210 12319\n71044 100000\n30623 45983\n23562 35370\n54725 82085\n14857 22239\n94716 100000\n50231 75388\n96250 100000\n82013 100000\n89548 100000\n43956 66012\n54961 82439\n56778 85179\n9444 14140\n5769 8674\n48898 73432\n16209 24272\n5731 8620\n35567 53388\n21772 32694\n2997 4509\n91744 100000\n27744 41641\n86039 100000\n90128 100000\n70305 100000\n24191 36316\n23168 34788\n37344 56040\n96149 100000\n15636 23414\n44448 66750\n55955 83943\n27107 40676\n64469 96718\n10574 15814\n9873 14770\n74202 100000\n5530 8320\n76738 100000\n82946 100000\n63912 95861\n81318 100000\n43018 64623\n44173 66345\n46484 69819\n97182 100000\n56879 85329\n18210 27322\n81384 100000\n11946 17902\n71531 100000\n36242 54386\n54384 81595\n54420 81643\n10367 15498\n50544 75853\n61492 92252\n4594 6910\n86550 100000\n30008 45044\n3308 4975\n89164 100000\n34630 51987\n91076 100000\n89103 100000\n74197 100000\n68898 100000\n43413 65210\n82612 100000\n31537 47346\n21505 32275\n30468 45747\n72513 100000\n90011 100000\n78556 100000\n72460 100000\n25801 38700\n20841 31274\n59768 89691\n87275 100000\n12286 18396\n98449 100000\n72373 100000\n51957 77973\n69902 100000\n60366 90572\n61050 91577\n15509 23232\n31123 46739\n64987 97482\n48044 72157\n98484 100000\n46526 69881\n98865 100000\n40537 60835\n15666 23461\n8828 13218\n21560 32355\n109 166\n51790 77728\n2738 4113\n97100 100000\n44957 67510\n62630 93962\n49996 75045\n12363 18517\n2288 3433\n45779 68732\n79084 100000\n78480 100000\n33973 51021\n58786 88226\n4456 6702\n7194 10803\n23384 35104\n18065 27099\n38086 57157\n97779 100000\n89809 100000\n69820 100000\n90125 100000\n93014 100000\n27591 41409\n26659 39993\n43870 65882\n26492 39748\n85067 100000\n88682 100000\n4645 6986\n62181 93285\n5207 7821\n75926 100000\n87312 100000\n99431 100000\n98516 100000\n82659 100000\n72546 100000\n60414 90646\n92676 100000\n26528 39800\n90828 100000\n24638 36995\n55298 82955\n72781 100000\n59594 89424\n47040 70648\n86584 100000\n25914 38861\n31374 47105\n89819 100000\n94820 100000\n50824 76278\n20626 30962\n5505 8281\n29527 44322\n38293 57461\n68250 100000\n91332 100000\n16675 24985\n83525 100000\n65671 98512\n9089 13606\n32380 48616\n95601 100000\n94519 100000\n58731 88149\n64347 96524\n31890 47879\n67908 100000\n13918 20830\n55407 83121\n58913 88418\n318 485\n29137 43746\n7064 10607\n50735 76141\n22808 34238\n96800 100000\n32065 48145\n34300 51500\n27527 41316\n58167 87278\n87380 100000\n12987 19459\n81898 100000\n44035 66130\n57734 86607\n25794 38692\n73412 100000\n69912 100000\n7949 11926\n70801 100000\n72554 100000\n93147 100000\n90542 100000\n47589 71472\n30442 45707\n14435 21605\n94515 100000\n89273 100000\n64717 97078\n52730 79130\n41397 62161\n62611 93936\n75894 100000\n23586 35407\n66907 100000\n33107 49697\n51003 76542\n60468 90721\n35738 53637\n2820 4233\n28903 43395\n50459 75728\n60170 90286\n76357 100000\n43950 66004\n61820 92733\n24411 36647\n49701 74616\n1895 2841\n54410 81629\n37727 56620\n68201 100000\n81021 100000\n93070 100000\n63374 95059\n23469 35234\n59280 88958\n37484 56254\n39500 59286\n28871 43343\n94171 100000\n20211 30327\n31416 47171\n14315 21427\n86154 100000\n21025 31550\n53954 80960\n2134 3195\n66943 100000\n15112 22624\n40737 61148\n5034 7562\n74440 100000\n79419 100000\n53268 79923\n9237 13829\n85690 100000\n72187 100000\n31337 47050\n1202 1788\n84726 100000\n42070 63177\n99648 100000\n28727 43122\n91577 100000\n84465 100000\n42646 64053\n21320 31998\n81475 100000\n41970 63027\n86295 100000\n54594 81895\n26241 39366\n24547 36860\n79397 100000\n2195 3289\n13081 19600\n90303 100000\n98276 100000\n36282 54447\n18651 27989\n92869 100000\n81953 100000\n65757 98639\n17564 26343\n87381 100000\n18383 27586\n86743 100000\n92397 100000\n35794 53724\n228 346\n1263 1875\n57967 86963\n70402 100000\n81405 100000\n66144 99223\n58868 88353\n41399 62164\n15426 23103\n54600 81904\n10582 15826\n34056 51152\n90600 100000\n53524 80318\n69736 100000\n28796 43225\n23903 35876\n8553 12814\n31553 47370\n37802 56737\n16226 24295\n13084 19604\n34603 51945\n2441 3661\n59523 89321\n68334 100000\n35962 53973\n29076 43653\n39976 59995\n10975 16428\n45357 68103\n52493 78773\n70184 100000\n36805 55221\n24375 36594\n55926 83900\n35070 52651\n57427 86147\n48779 73257\n62328 93505\n28386 42620\n57205 85823\n38696 58071\n56760 85153\n82670 100000\n69247 100000\n99246 100000\n32979 49509\n76813 100000\n55430 83159\n68528 100000\n7669 11516\n43512 65350\n97556 100000\n20555 30857\n39765 59684\n99243 100000\n50661 76026\n84305 100000\n41158 61792\n69472 100000\n4134 6226\n44070 66183\n93504 100000\n43074 64705\n44664 67064\n16323 24442\n32575 48902\n61817 92728\n26131 39188\n7916 11879\n86544 100000\n44399 66682\n45050 67652\n22110 33213\n59253 88916\n38810 58248\n63971 95958\n83373 100000\n57281 85927\n84757 100000\n29277 43951\n92400 100000\n9055 13551\n81719 100000\n98855 100000\n85663 100000\n39826 59773\n85993 100000\n35134 52741\n97742 100000\n38117 57207\n29738 44636\n63386 95075\n24031 36081\n58669 88058\n39332 59031\n16561 24812\n6915 10384\n57917 86889\n82108 100000\n61169 91760\n70608 100000\n87903 100000\n39205 58841\n21976 33011\n28850 43313\n2455 3683\n17071 25591\n94288 100000\n19170 28766\n32949 49463\n70480 100000\n24409 36643\n62572 93881\n8177 12265\n32087 48177\n55130 82704\n98621 100000\n14357 21491\n90553 100000\n72862 100000\n18962 28450\n51634 77488\n6833 10258\n52909 79403\n98567 100000\n2445 3667\n34718 52127\n13435 20128\n78130 100000\n48513 72860\n57831 86758\n91604 100000\n47531 71387\n48602 72996\n90418 100000\n33344 50055\n10858 16255\n35356 53078\n7244 10880\n59803 89743\n68203 100000\n68744 100000\n27962 41974\n98244 100000\n97457 100000\n94540 100000\n66675 100000\n42018 63101\n46307 69534\n25682 38524\n72338 100000\n9863 14752\n72638 100000\n12396 18568\n63759 95631\n88196 100000\n84738 100000\n99948 100000\n28101 42187\n9015 13491\n60632 90966\n89514 100000\n54849 82273\n30997 46549\n34783 52223\n98229 100000\n60820 91239\n22382 33607\n70558 100000\n84643 100000\n95021 100000\n22754 34159\n12702 19029\n66012 99024\n19022 28535\n7589 11394\n22929 34424\n30276 45457\n78594 100000\n24616 36963\n59815 89759\n27239 40876\n20836 31267\n8359 12529\n37838 56788\n22604 33945\n25879 38812\n37003 55533\n55674 83525\n18195 27299\n74442 100000\n9714 14526\n74812 100000\n98257 100000\n77341 100000\n52998 79531\n72185 100000\n27020 40537\n45369 68119\n5486 8255\n68172 100000\n11111 16631\n13736 20555\n23167 34786\n29664 44523\n55812 83727\n60709 91076\n9255 13852\n62419 93642\n76878 100000\n74495 100000\n65186 97776\n98174 100000\n27078 40629\n93074 100000\n978 1462\n36332 54524\n75000 100000\n24961 37480\n63968 95952\n83761 100000\n6548 9836\n51592 77425\n92262 100000\n6902 10364\n79947 100000\n88912 100000\n80416 100000\n30679 46070\n23018 34559\n87422 100000\n43977 66042\n93757 100000\n16320 24439\n1883 2825\n16643 24940\n74422 100000\n23537 35337\n43447 65257\n75709 100000\n11842 17735\n5506 8282\n95812 100000\n65670 98510\n99772 100000\n11550 17285\n67214 100000\n99177 100000\n2231 3346\n20066 30102\n63394 95086\n21060 31603\n26417 39637\n8606 12889\n61674 92515\n54184 81301\n90193 100000\n85929 100000\n46714 70162\n36169 54280\n41073 61658\n88390 100000\n46025 69102\n22469 33739\n12617 18905\n77720 100000\n30231 45385\n6571 9869\n64592 96893\n70114 100000\n58715 88125\n30051 45108\n41523 62351\n93743 100000\n80259 100000\n80134 100000\n83249 100000\n33030 49589\n67348 100000\n79220 100000\n74341 100000\n13758 20590\n99891 100000\n76804 100000\n21246 31880\n64082 96125\n90923 100000\n65420 98132\n62573 93882\n7698 11564\n46892 70425\n29347 44058\n35340 53055\n74080 100000\n91363 100000\n82506 100000\n75317 100000\n7981 11975\n41381 62136\n11091 16605\n81454 100000\n12081 18097\n3030 4555\n93012 100000\n62476 93729\n95936 100000\n33790 50733\n92653 100000\n38656 58007\n85179 100000\n49259 73974\n71768 100000\n40931 61443\n65691 98538\n54103 81183\n55705 83571\n42090 63206\n14260 21347\n10715 16034\n31149 46775\n11785 17647\n96979 100000\n7000 10508\n23950 35948\n96521 100000\n55155 82746\n12687 19008\n53284 79947\n61930 92899\n77417 100000\n9640 14416\n58042 87075\n94178 100000\n72607 100000\n40397 60625\n86770 100000\n73915 100000\n38444 57686\n49499 74325\n20898 31364\n87368 100000\n75792 100000\n55135 82713\n39045 58599\n43626 65516\n27894 41871\n36813 55231\n47940 71999\n65111 97664\n35414 53161\n20164 30252\n59973 89989\n21868 32846\n68871 100000\n87316 100000\n58008 87022\n57276 85920\n97227 100000\n38764 58177\n96076 100000\n75977 100000\n48243 72438\n28828 43277\n20774 31176\n41217 61882\n39850 59811\n73320 100000\n92304 100000\n25447 38182\n83176 100000\n68268 100000\n29457 44217\n71497 100000\n77961 100000\n96355 100000\n33788 50730\n23439 35187\n92158 100000\n77805 100000\n63241 94861\n92573 100000\n91802 100000\n91958 100000\n90405 100000\n47475 71305\n42614 64008\n38757 58166\n40082 60154\n52830 79286\n43370 65147\n70047 100000\n54429 81655\n43926 65968\n16663 24970\n91684 100000\n69249 100000\n50058 75130\n90886 100000\n32783 49220\n68714 100000\n70325 100000\n11682 17490\n17976 26969\n51036 76593\n92484 100000\n61433 92156\n96404 100000\n97435 100000\n29597 44425\n51144 76751\n56114 84185\n70318 100000\n42517 63863\n93810 100000\n95413 100000\n992 1485\n89238 100000\n94670 100000\n63047 94573\n55371 83062\n20350 30537\n88646 100000\n82809 100000\n1158 1725\n1576 2359\n4382 6601\n98108 100000\n89277 100000\n47665 71588\n42608 63997\n4434 6673\n85772 100000\n36163 54272\n6248 9383\n73019 100000\n31399 47143\n29058 43628\n76909 100000\n69944 100000\n60308 90481\n59711 89601\n14351 21479\n97259 100000\n88693 100000\n44749 67186\n49241 73949\n38253 57399\n36585 54903\n90640 100000\n66597 99889\n1041 1555\n6955 10442\n59300 88987\n7683 11540\n29218 43870\n90850 100000\n7246 10882\n96209 100000\n5268 7919\n2057 3080\n9510 14236\n39943 59950\n27671 41529\n66582 99868\n23814 35747\n25414 38140\n85734 100000\n73129 100000\n8820 13207\n49322 74059\n81996 100000\n3698 5569\n26369 39566\n45086 67705\n49012 73606\n61023 91539\n81730 100000\n26722 40091\n48444 72751\n59303 88991\n61743 92619\n441 670\n35783 53708\n1473 2206\n33284 49967\n18108 27167\n69890 100000\n3058 4597\n79765 100000\n84626 100000\n43637 65535\n28353 42569\n33797 50744\n36930 55416\n62184 93289\n63642 95457\n46501 69845\n4884 7339\n20312 30481\n30033 45081\n81789 100000\n36389 54609\n60547 90838\n49609 74483\n43372 65150\n11366 17014\n775 1163\n35573 53398\n99425 100000\n84279 100000\n2745 4124\n59184 88809\n37087 55655\n60216 90351\n74 113\n76341 100000\n72544 100000\n42920 64471\n73709 100000\n47580 71460\n80983 100000\n69246 100000\n11667 17466\n67043 100000\n23058 34621\n28656 43024\n52842 79305\n6050 9087\n79859 100000\n920 1383\n61282 91929\n64413 96627\n76433 100000\n75887 100000\n16592 24863\n86672 100000\n61233 91855\n85072 100000\n11122 16648\n60209 90342\n33099 49685\n19068 28608\n16012 23974\n28687 43069\n69859 100000\n96326 100000\n71894 100000\n12896 19328\n24995 37532\n3916 5900\n32361 48589\n22958 34468\n41744 62691\n28567 42888\n99604 100000\n62192 93301\n24325 36511\n86116 100000\n14776 22116\n2365 3553\n58923 88430\n82142 100000\n56613 84942\n88179 100000\n31029 46597\n56770 85168\n67037 100000\n94527 100000\n21445 32186\n24831 37283\n37079 55642\n37552 56359\n4679 7037\n58628 87990\n99502 100000\n96317 100000\n21692 32568\n31257 46931\n60047 90104\n7445 11189\n2840 4261\n32978 49507\n30479 45765\n78598 100000\n31259 46934\n71428 100000\n89361 100000\n80115 100000\n30634 46001\n43426 65228\n2934 4415\n91746 100000\n24605 36948\n86905 100000\n2912 4377\n93588 100000\n26463 39704\n94376 100000\n51564 77378\n53523 80316\n53277 79934\n59408 89153\n29944 44943\n69956 100000\n61647 92477\n8313 12467\n64618 96928\n21872 32852\n61032 91550\n48809 73300\n76651 100000\n56142 84229\n90095 100000\n52921 79420\n57515 86280\n90164 100000\n14419 21581\n56424 84656\n32686 49071\n20464 30718\n92052 100000\n36217 54348\n20116 30178\n64319 96482\n60638 90975\n11905 17836\n56747 85139\n5754 8652\n17892 26848\n22311 33509\n22358 33574\n14472 21661\n24764 37183\n4089 6163\n77302 100000\n68769 100000\n86279 100000\n7597 11406\n24085 36161\n48862 73377\n23485 35259\n73385 100000\n31695 47573\n74091 100000\n13528 20263\n35877 53850\n96935 100000\n85503 100000\n81293 100000\n10502 15705\n31974 48007\n27645 41488\n23825 35763\n22488 33770\n91319 100000\n81016 100000\n5224 7847\n9675 14467\n55274 82918\n80457 100000\n81404 100000\n14207 21274\n55709 83577\n86021 100000\n69669 100000\n34738 52153\n29970 44986\n2459 3689\n52580 78900\n48908 73448\n74473 100000\n32669 49047\n52468 78734\n3256 4895\n34299 51498\n71774 100000\n23727 35613\n82771 100000\n59232 88883\n61916 92877\n79602 100000\n19174 28772\n3224 4851\n73070 100000\n10163 15197\n26275 39420\n74655 100000\n9151 13698\n4744 7134\n13255 19862\n98665 100000\n28209 42354\n2238 3355\n67628 100000\n14961 22395\n45598 68462\n53080 79652\n29740 44639\n80147 100000\n37797 56729\n70416 100000\n80204 100000\n47587 71470\n30303 45495\n26385 39590\n63293 94935\n70024 100000\n46288 69507\n39971 59988\n35406 53148\n37365 56073\n52766 79193\n11263 16862\n21398 32116\n93598 100000\n1154 1718\n49602 74473\n27395 41108\n44456 66760\n91674 100000\n40392 60617\n67333 100000\n31907 47904\n27995 42025\n2954 4446\n39115 58706\n55239 82867\n15246 22825\n96532 100000\n50397 75639\n25168 37784\n92001 100000\n4819 7238\n68996 100000\n33882 50879\n45869 68869\n62502 93771\n89224 100000\n62086 93140\n35208 52857\n15131 22647\n40045 60100\n53616 80456\n5342 8027\n76743 100000\n77993 100000\n78308 100000\n42123 63255\n60968 91457\n93267 100000\n61814 92723\n66348 99525\n36869 55319\n18932 28403\n68163 100000\n52173 78296\n23734 35623\n42395 63679\n9928 14847\n15827 23694\n13219 19808\n31047 46624\n31660 47525\n71405 100000\n95256 100000\n72796 100000\n95817 100000\n14541 21765\n86125 100000\n70225 100000\n9446 14142\n59941 89945\n94746 100000\n7164 10754\n79690 100000\n19909 29873\n2960 4456\n97028 100000\n49863 74857\n48810 73301\n65800 98702\n69671 100000\n36180 54295\n11573 17321\n59248 88909\n713 1076\n88124 100000\n78634 100000\n61539 92320\n68065 100000\n98945 100000\n5287 7949\n77232 100000\n30983 46529\n14253 21336\n56422 84654\n66267 99406\n4533 6817\n43067 64694\n7028 10555\n12941 19392\n23495 35273\n90256 100000\n46113 69237\n19574 29376\n87029 100000\n24946 37455\n70560 100000\n4511 6786\n83019 100000\n54111 81195\n623 940\n33365 50085\n52972 79493\n39630 59477\n14278 21373\n17607 26411\n84069 100000\n22903 34385\n10003 14954\n43762 65720\n99954 100000\n77575 100000\n70826 100000\n64425 96646\n32948 49461\n28529 42833\n15433 23115\n63582 95371\n50208 75355\n4740 7127\n54312 81498\n53042 79595\n72421 100000\n11568 17314\n7245 10881\n31988 48027\n24494 36781\n84523 100000\n29540 44342\n90606 100000\n34393 51640\n61929 92897\n63178 94769\n46060 69156\n87195 100000\n8841 13235\n18827 28249\n96744 100000\n38442 57683\n77230 100000\n18013 27020\n30588 45930\n15943 23866\n16290 24395\n80747 100000\n17551 26325\n86685 100000\n97681 100000\n42845 64361\n44518 66853\n17178 25762\n64172 96258\n82351 100000\n78754 100000\n43694 65620\n1555 2323\n24577 36905\n21284 31941\n29215 43865\n62938 94416\n70779 100000\n395 598\n5581 8395\n52775 79206\n82202 100000\n48647 73062\n69382 100000\n13033 19530\n27560 41366\n25012 37555\n28119 42213\n35023 52582\n69114 100000\n6911 10378\n68742 100000\n30361 45580\n5782 8693\n76215 100000\n63935 95897\n39719 59613\n52329 78521\n37635 56487\n86144 100000\n7628 11458\n99898 100000\n64015 96023\n44408 66695\n44680 67085\n95611 100000\n26741 40120\n68654 100000\n39809 59748\n90130 100000\n2892 4347\n84690 100000\n4700 7066\n11480 17179\n23371 35086\n34813 52269\n98183 100000\n89259 100000\n24365 36577\n16350 24481\n98104 100000\n37223 55861\n42366 63632\n3840 5779\n24511 36805\n75549 100000\n57763 86650\n49516 74348\n37308 55989\n99091 100000\n88369 100000\n71799 100000\n96175 100000\n10995 16460\n66978 100000\n79481 100000\n76541 100000\n74715 100000\n61365 92053\n13491 20207\n5565 8371\n99543 100000\n23937 35929\n91399 100000\n89871 100000\n38947 58449\n20837 31268\n52412 78647\n26577 39874\n54798 82197\n716 1079\n24522 36822\n59770 89695\n3857 5807\n10105 15111\n38725 58117\n94748 100000\n78971 100000\n49250 73962\n80195 100000\n25337 38028\n88835 100000\n7103 10662\n22950 34454\n70947 100000\n38044 57096\n47483 71317\n61962 92945\n72827 100000\n74360 100000\n22503 33792\n62694 94060\n63051 94579\n86700 100000\n61214 91825\n71869 100000\n36921 55404\n49402 74173\n77321 100000\n53918 80909\n21295 31959\n84517 100000\n33814 50771\n88781 100000\n21621 32458\n45268 67969\n93427 100000\n85313 100000\n88021 100000\n76617 100000\n89806 100000\n43592 65470\n6974 10468\n11913 17849\n25571 38364\n54935 82404\n67666 100000\n80330 100000\n34513 51814\n40747 61161\n24147 36254\n47844 71855\n78979 100000\n76803 100000\n79932 100000\n65458 98190\n69641 100000\n92015 100000\n60751 91138\n67332 100000\n78713 100000\n98110 100000\n16241 24319\n28445 42709\n73956 100000\n15183 22730\n35504 53295\n6362 9553\n60026 90071\n1536 2299\n1890 2833\n27208 40828\n34822 52283\n23929 35918\n97331 100000\n59471 89244\n62799 94211\n67518 100000\n14190 21245\n27254 40895\n79510 100000\n97518 100000\n77399 100000\n46304 69530\n65843 98770\n96308 100000\n42787 64277\n99762 100000\n95749 100000\n41742 62687\n5799 8717\n22179 33314\n5079 7633\n36267 54426\n33568 50396\n2305 3457\n42820 64328\n78847 100000\n72672 100000\n6198 9311\n24207 36340\n40619 60963\n11347 16984\n53234 79874\n2747 4127\n49536 74378\n62090 93145\n4463 6713\n60855 91292\n94947 100000\n5211 7827\n15225 22793\n5724 8610\n43454 65265\n54194 81317\n52000 78038\n25165 37779\n60219 90356\n47170 70850\n79555 100000\n10823 16197\n93632 100000\n15737 23560\n5811 8736\n5013 7535\n72839 100000\n40980 61511\n67047 100000\n81853 100000\n13172 19736\n30375 45599\n1811 2718\n47525 71377\n62018 93030\n23435 35180\n80780 100000\n76809 100000\n1729 2597\n96039 100000\n1892 2836\n85666 100000\n14175 21224\n85813 100000\n10591 15840\n22229 33389\n81512 100000\n63612 95414\n42654 64067\n42503 63845\n19189 28791\n55463 83209\n16654 24955\n47878 71906\n42889 64424\n95109 100000\n17073 25593\n1721 2583\n66637 99944\n82514 100000\n10154 15184\n98548 100000\n41953 63001\n68302 100000\n16546 24788\n85200 100000\n22357 33572\n87955 100000\n39231 58880\n81873 100000\n35677 53552\n38564 57872\n76832 100000\n72102 100000\n68798 100000\n80821 100000\n39637 59488\n11299 16914\n26657 39990\n69594 100000\n55810 83724\n98528 100000\n31385 47122\n67220 100000\n92866 100000\n24624 36973\n35890 53869\n19481 29236\n1459 2183\n50391 75629\n22184 33323\n99859 100000\n8496 12733\n96273 100000\n68947 100000\n81854 100000\n46889 70421\n10005 14956\n85249 100000\n64487 96746\n43391 65178\n87283 100000\n17861 26801\n64352 96533\n9862 14751\n50154 75277\n8193 12293\n28689 43072\n68961 100000\n64383 96576\n27443 41182\n64075 96116\n44490 66811\n33080 49659\n50595 75927\n93991 100000\n68058 100000\n23608 35440\n38497 57767\n75175 100000\n6046 9080\n11630 17407\n76206 100000\n97398 100000\n72583 100000\n55708 83575\n43540 65389\n12071 18083\n21390 32102\n61829 92747\n48865 73383\n92663 100000\n2832 4250\n94499 100000\n60710 91078\n19253 28884\n82004 100000\n41933 62972\n34622 51973\n26175 39266\n25141 37744\n76680 100000\n75099 100000\n798 1199\n84036 100000\n76851 100000\n21181 31786\n34174 51314\n63650 95472\n39210 58849\n80627 100000\n53186 79808\n95107 100000\n32459 48740\n46296 69518\n91276 100000\n24028 36076\n52489 78767\n26967 40460\n25203 37838\n59239 88894\n10650 15929\n53942 80944\n52488 78766\n16832 25224\n3873 5832\n66377 99572\n18176 27271\n3518 5298\n63731 95590\n11564 17307\n65326 97993\n80468 100000\n40497 60774\n51558 77368\n60333 90518\n76612 100000\n35234 52895\n96025 100000\n56194 84311\n54899 82345\n15002 22461\n91435 100000\n72239 100000\n772 1159\n56560 84861\n51610 77449\n67797 100000\n10584 15829\n73447 100000\n8059 12092\n649 984\n27076 40627\n55586 83396\n16521 24747\n64422 96642\n4836 7262\n63605 95405\n1450 2169\n24692 37077\n5654 8507\n18635 27968\n32070 48152\n13223 19813\n74191 100000\n69150 100000\n90703 100000\n56623 84959\n94049 100000\n22572 33894\n50769 76195\n23750 35650\n1288 1909\n81259 100000\n32597 48937\n63316 94971\n86341 100000\n67341 100000\n30828 46288\n82834 100000\n69553 100000\n33835 50804\n2624 3943\n12013 18001\n89570 100000\n28834 43287\n10227 15291\n18689 28047\n31290 46976\n34893 52388\n5624 8464\n64810 97213\n63079 94624\n38746 58150\n46171 69326\n84343 100000\n87872 100000\n59377 89103\n72878 100000\n41368 62115\n27354 41045\n65471 98211\n39340 59042\n24600 36939\n40896 61394\n10400 15547\n94721 100000\n83239 100000\n35108 52704\n6200 9315\n17664 26502\n23970 35981\n93502 100000\n9785 14636\n5099 7662\n55183 82787\n79083 100000\n58232 87382\n57310 85969\n49519 74352\n51048 76610\n69975 100000\n68427 100000\n51053 76619\n15901 23806\n10353 15475\n13728 20542\n39856 59820\n30764 46197\n29580 44403\n63389 95080\n76801 100000\n25403 38123\n49508 74337\n78099 100000\n25780 38671\n44695 67106\n55195 82805\n91670 100000\n2419 3630\n91692 100000\n27722 41606\n28542 42852\n72475 100000\n12540 18791\n90652 100000\n37103 55675\n91612 100000\n83852 100000\n66751 100000\n60760 91152\n46357 69616\n43579 65450\n63548 95320\n79115 100000\n76536 100000\n9087 13602\n90852 100000\n5753 8651\n74896 100000\n61448 92178\n3254 4892\n32318 48526\n25945 38910\n21007 31522\n67834 100000\n1151 1713\n43229 64938\n82754 100000\n88866 100000\n95646 100000\n61756 92636\n60769 91167\n59719 89613\n26377 39578\n12357 18507\n71457 100000\n47267 70992\n7814 11733\n76995 100000\n46455 69774\n88019 100000\n49788 74744\n75176 100000\n99232 100000\n91811 100000\n74794 100000\n78514 100000\n59569 89388\n74534 100000\n75123 100000\n6132 9214\n1640 2456\n6295 9460\n60790 91197\n70728 100000\n18971 28464\n51468 77233\n66924 100000\n32679 49061\n54626 81941\n20154 30237\n11903 17832\n2769 4158\n98798 100000\n94904 100000\n29574 44393\n88943 100000\n70677 100000\n70570 100000\n23239 34891\n7805 11720\n81206 100000\n44616 66996\n70489 100000\n13259 19869\n23429 35170\n17432 26148\n56411 84635\n63155 94741\n48151 72308\n62505 93774\n78160 100000\n90927 100000\n80994 100000\n91672 100000\n30647 46021\n56272 84421\n62392 93604\n25422 38152\n8060 12093\n75829 100000\n79014 100000\n94872 100000\n75691 100000\n93944 100000\n80675 100000\n31041 46615\n66909 100000\n71763 100000\n45394 68157\n38550 57850\n15195 22748\n36053 54112\n48069 72193\n14254 21338\n45267 67968\n28030 42080\n16882 25303\n15028 22499\n33858 50845\n82763 100000\n1489 2231\n24859 37323\n57602 86413\n67497 100000\n93605 100000\n31 47\n28244 42405\n6252 9388\n56909 85376\n43015 64619\n23748 35647\n91071 100000\n16626 24915\n14053 21033\n17864 26806\n8435 12640\n78546 100000\n28364 42587\n98596 100000\n60396 90619\n3406 5129\n4107 6191\n74040 100000\n3363 5060\n77124 100000\n66205 99317\n49074 73697\n81852 100000\n73747 100000\n93249 100000\n45173 67830\n17355 26033\n15223 22790\n82269 100000\n67939 100000\n42117 63246\n86005 100000\n8804 13184\n89625 100000\n17763 26655\n86536 100000\n23318 35009\n75656 100000\n7337 11021\n27042 40570\n97943 100000\n96983 100000\n17589 26382\n53978 80998\n36007 54042\n93048 100000\n21008 31524\n4721 7098\n4861 7301\n9744 14573\n3928 5920\n24338 36534\n15427 23105\n86316 100000\n52550 78857\n36402 54628\n67010 100000\n11556 17295\n8935 13376\n96857 100000\n49920 74935\n40083 60156\n74420 100000\n54677 82011\n46740 70197\n19513 29287\n8899 13324\n13057 19568\n24868 37337\n15278 22872\n78782 100000\n12324 18456\n81751 100000\n81976 100000\n16122 24143\n32106 48205\n14098 21104\n44477 66790\n530 800\n28690 43074\n23248 34903\n69460 100000\n54225 81365\n76674 100000\n64666 97000\n70923 100000\n94184 100000\n59279 88956\n19379 29074\n71155 100000\n87406 100000\n8256 12383\n61379 92072\n59068 88637\n70317 100000\n24042 36096\n78325 100000\n26963 40456\n34416 51674\n67381 100000\n98586 100000\n62273 93425\n60179 90301\n89853 100000\n89923 100000\n49340 74081\n2887 4337\n81435 100000\n14120 21137\n22289 33480\n3334 5015\n62628 93959\n1636 2448\n26036 39054\n69245 100000\n36167 54278\n90129 100000\n48008 72100\n70162 100000\n85783 100000\n403 611\n26235 39357\n36518 54805\n16426 24597\n16603 24882\n65363 98049\n36489 54760\n72646 100000\n20243 30374\n32370 48602\n90291 100000\n15447 23138\n66167 99258\n83464 100000\n47766 71736\n93905 100000\n61954 92934\n21990 33030\n84230 100000\n12789 19164\n10422 15583\n1456 2178\n51828 77782\n49215 73910\n84028 100000\n72784 100000\n16803 25177\n76434 100000\n84357 100000\n6473 9722\n57504 86267\n66174 99269\n67168 100000\n34155 51286\n67317 100000\n40210 60339\n76898 100000\n1411 2107\n50621 75968\n58560 87884\n67587 100000\n72177 100000\n77791 100000\n76473 100000\n38616 57948\n65053 97577\n14082 21078\n16602 24880\n7813 11732\n24936 37441\n73021 100000\n26479 39727\n73286 100000\n12972 19438\n21129 31709\n22245 33416\n33464 50232\n28073 42144\n68099 100000\n89198 100000\n11040 16527\n55813 83728\n85244 100000\n2410 3619\n84919 100000\n50725 76124\n30978 46520\n70455 100000\n79614 100000\n13066 19581\n23930 35920\n50448 75711\n44464 66772\n49454 74251\n94197 100000\n48327 72572\n1634 2445\n97477 100000\n63382 95070\n10925 16353\n57716 86583\n55764 83659\n68548 100000\n93841 100000\n1295 1921\n83246 100000\n71325 100000\n84494 100000\n18268 27408\n47979 72055\n7494 11258\n34369 51604\n69402 100000\n71769 100000\n74181 100000\n38319 57498\n20529 30819\n89659 100000\n89775 100000\n3293 4950\n53655 80511\n65980 98979\n16623 24912\n20496 30767\n81060 100000\n77432 100000\n21978 33014\n7298 10961\n87425 100000\n79610 100000\n5717 8600\n19632 29464\n49731 74658\n41969 63025\n90673 100000\n8243 12364\n91466 100000\n49233 73935\n64747 97120\n49583 74443\n81579 100000\n22826 34268\n53949 80954\n72612 100000\n17843 26774\n74166 100000\n14795 22148\n81935 100000\n27472 41226\n67082 100000\n98470 100000\n15867 23756\n41964 63019\n69100 100000\n15858 23741\n92815 100000\n92614 100000\n76817 100000\n89095 100000\n51390 77116\n59530 89330\n5377 8080\n8791 13162\n33189 49820\n49940 74960\n88560 100000\n13829 20695\n89684 100000\n76963 100000\n65050 97572\n63112 94675\n13267 19881\n72950 100000\n32294 48487\n46951 70512\n78933 100000\n53865 80828\n45128 67765\n32180 48311\n72875 100000\n57885 86841\n26428 39654\n8044 12068\n68569 100000\n50521 75816\n58842 88308\n51014 76557\n10908 16329\n46376 69648\n11507 17223\n42361 63624\n71208 100000\n90766 100000\n81879 100000\n36510 54791\n19159 28750\n65629 98448\n38638 57978\n69134 100000\n18005 27011\n31545 47358\n65627 98446\n16529 24762\n98434 100000\n65999 99007\n8046 12072\n67451 100000\n70298 100000\n15532 23264\n89605 100000\n98710 100000\n38228 57365\n70326 100000\n58242 87398\n27455 41200\n79863 100000\n2229 3343\n269 406\n48829 73328\n4319 6499\n24833 37285\n80051 100000\n72287 100000\n6689 10043\n9577 14327\n1311 1944\n57107 85678\n61113 91677\n8281 12420\n18865 28306\n15815 23678\n48595 72984\n82158 100000\n6924 10398\n22938 34438\n41726 62663\n77590 100000\n96124 100000\n90944 100000\n52838 79300\n17697 26554\n27258 40900\n81669 100000\n13394 20069\n17128 25678\n81425 100000\n90260 100000\n17956 26943\n81482 100000\n62084 93137\n85681 100000\n12059 18066\n26138 39202\n32992 49530\n61950 92928\n76492 100000\n90088 100000\n32232 48393\n50116 75218\n78248 100000\n19463 29209\n26196 39298\n27946 41951\n15040 22517\n91913 100000\n48945 73508\n74351 100000\n6371 9568\n60184 90309\n77610 100000\n56011 84029\n72451 100000\n14377 21520\n85586 100000\n41526 62354\n82691 100000\n72335 100000\n36754 55146\n16528 24760\n50717 76109\n9371 14029\n65034 97547\n76623 100000\n32528 48834\n35957 53967\n81108 100000\n86022 100000\n5992 9002\n50316 75521\n6519 9791\n20304 30469\n58368 87592\n77932 100000\n24883 37359\n94219 100000\n56516 84794\n99296 100000\n20109 30167\n46112 69235\n28426 42680\n57215 85836\n46339 69585\n12665 18977\n6551 9839\n27908 41891\n66445 99673\n87236 100000\n98358 100000\n87224 100000\n83896 100000\n74763 100000\n55913 83879\n20487 30754\n48452 72764\n12388 18554\n36209 54337\n6935 10414\n69926 100000\n14545 21771\n41839 62835\n57441 86165\n37289 55961\n30790 46232\n85290 100000\n68144 100000\n4182 6295\n75754 100000\n5852 8800\n67539 100000\n26191 39291\n1368 2039\n10954 16395\n58137 87233\n13265 19877\n52416 78654\n94696 100000\n81024 100000\n12119 18149\n19216 28830\n72201 100000\n85506 100000\n63001 94507\n65495 98247\n30215 45363\n59099 88683\n50227 75382\n4510 6784\n2285 3428\n75372 100000\n21865 32841\n75897 100000\n96339 100000\n55945 83928\n16333 24458\n68498 100000\n49467 74271\n68170 100000\n22461 33726\n27436 41169\n22478 33755\n12573 18839\n57877 86830\n49312 74043\n10443 15615\n75044 100000\n37983 57008\n55894 83853\n3875 5835\n30046 45100\n49954 74979\n86380 100000\n21563 32361\n44292 66521\n67982 100000\n55327 82997\n20974 31474\n5397 8113\n93191 100000\n57618 86438\n42229 63417\n811 1219\n9123 13655\n30021 45064\n69113 100000\n44357 66620\n27365 41061\n72298 100000\n67325 100000\n24689 37072\n95499 100000\n59286 88965\n39493 59276\n87686 100000\n62530 93814\n55696 83558\n48381 72652\n18325 27493\n20754 31144\n49142 73802\n22774 34188\n38186 57306\n39173 58791\n37187 55805\n21580 32390\n69315 100000\n28771 43190\n23252 34910\n89698 100000\n31255 46928\n93050 100000\n41817 62801\n74459 100000\n62879 94332\n89729 100000\n82131 100000\n5787 8701\n12238 18321\n6502 9767\n28080 42155\n67468 100000\n96921 100000\n40409 60642\n31338 47052\n93876 100000\n17242 25860\n30031 45079\n8737 13083\n80844 100000\n26452 39690\n35255 52928\n95475 100000\n80086 100000\n98265 100000\n70367 100000\n12080 18095\n7930 11898\n74723 100000\n47309 71055\n98547 100000\n68892 100000\n22589 33924\n69981 100000\n65497 98249\n84111 100000\n53483 80256\n82402 100000\n94137 100000\n46744 70204\n53027 79574\n38655 58006\n71641 100000\n71994 100000\n77659 100000\n45963 69010\n8541 12796\n99288 100000\n67059 100000\n95962 100000\n86031 100000\n35172 52801\n93571 100000\n8136 12199\n9677 14470\n57656 86496\n67713 100000\n20323 30497\n26355 39544\n50655 76018\n40275 60439\n52247 78401\n67276 100000\n33533 50341\n11639 17420\n24996 37533\n90096 100000\n64608 96914\n5600 8429\n88448 100000\n8247 12370\n84083 100000\n65048 97569\n40674 61049\n93673 100000\n33613 50459\n84448 100000\n77161 100000\n71230 100000\n6181 9287\n82174 100000\n2314 3474\n67936 100000\n67618 100000\n95563 100000\n89188 100000\n95245 100000\n44514 66848\n44193 66377\n25798 38697\n55421 83145\n34795 52240\n2400 3601\n63284 94924\n15008 22469\n30259 45431\n70306 100000\n5145 7730\n83965 100000\n15706 23518\n66830 100000\n44835 67322\n48175 72345\n50533 75833\n95988 100000\n45009 67593\n78850 100000\n58262 87428\n89193 100000\n60232 90375\n47903 71948\n84869 100000\n85043 100000\n76812 100000\n37917 56909\n99244 100000\n61770 92658\n7168 10760\n44682 67089\n28456 42724\n40030 60078\n90477 100000\n5713 8596\n75349 100000\n74499 100000\n32820 49276\n29004 43549\n30866 46349\n9281 13895\n52211 78348\n85592 100000\n15357 23000\n19746 29629\n36312 54494\n88566 100000\n96801 100000\n42975 64558\n79212 100000\n89493 100000\n26207 39318\n55362 83047\n80532 100000\n54547 81828\n18712 28083\n74372 100000\n1013 1517\n25972 38953\n51749 77661\n1563 2338\n1354 2016\n90218 100000\n18671 28022\n81223 100000\n37117 55696\n65224 97829\n47993 72079\n65986 98988\n74270 100000\n2914 4381\n29521 44312\n15071 22562\n29022 43577\n40133 60230\n62725 94103\n39271 58938\n52905 79397\n98646 100000\n96002 100000\n94713 100000\n85509 100000\n75010 100000\n6152 9246\n13123 19662\n46646 70062\n40302 60481\n82448 100000\n72968 100000\n38033 57079\n29987 45010\n41996 63065\n26906 40367\n91582 100000\n50502 75792\n40313 60497\n17709 26572\n28692 43076\n39214 58855\n93592 100000\n65221 97825\n51891 77873\n75264 100000\n76852 100000\n50506 75797\n15593 23355\n21271 31920\n5406 8126\n70383 100000\n88279 100000\n95875 100000\n23116 34710\n8397 12587\n86291 100000\n87697 100000\n6929 10404\n66495 99741\n44272 66491\n71377 100000\n44936 67480\n47308 71054\n10218 15275\n57733 86606\n60071 90137\n78924 100000\n7143 10720\n68976 100000\n33219 49865\n22151 33273\n94241 100000\n21326 32006\n48623 73025\n86417 100000\n55771 83670\n27771 41685\n36067 54135\n84165 100000\n84470 100000\n54713 82070\n30751 46177\n21545 32332\n63885 95819\n42024 63111\n35977 53995\n83079 100000\n11370 17019\n92854 100000\n3736 5622\n17476 26214\n64216 96321\n82054 100000\n71621 100000\n26945 40427\n95796 100000\n29403 44137\n21360 32056\n93637 100000\n33110 49702\n89836 100000\n24316 36497\n72523 100000\n70924 100000\n22087 33175\n74610 100000\n86600 100000\n84236 100000\n46302 69527\n58140 87238\n1327 1969\n49897 74905\n11937 17887\n58570 87901\n48711 73160\n94993 100000\n53662 80522\n99007 100000\n19442 29176\n86012 100000\n78797 100000\n28055 42117\n86605 100000\n49495 74317\n24597 36934\n12062 18070\n20130 30200\n80759 100000\n26312 39477\n90202 100000\n84822 100000\n51566 77382\n44401 66684\n82793 100000\n6398 9608\n9575 14324\n54516 81784\n59912 89898\n88180 100000\n96195 100000\n43477 65298\n65097 97643\n2135 3197\n47997 72084\n35107 52703\n97195 100000\n45875 68878\n70507 100000\n38571 57882\n45322 68046\n82998 100000\n16395 24545\n60362 90566\n21624 32464\n58896 88397\n69573 100000\n95552 100000\n87260 100000\n93764 100000\n3185 4789\n32959 49477\n70870 100000\n17050 25556\n36934 55424\n18081 27126\n9350 13999\n72376 100000\n17740 26616\n48725 73181\n87080 100000\n99529 100000\n54920 82379\n69695 100000\n22320 33520\n23923 35909\n88398 100000\n59588 89415\n94597 100000\n91019 100000\n60189 90316\n3348 5036\n95765 100000\n67841 100000\n48346 72598\n67366 100000\n5899 8870\n15861 23744\n48030 72137\n91927 100000\n53459 80214\n85786 100000\n54101 81179\n23910 35887\n64505 96769\n18167 27258\n27787 41708\n85001 100000\n64218 96324\n9361 14016\n99592 100000\n30091 45165\n27606 41428\n67022 100000\n73347 100000\n50398 75640\n95694 100000\n10355 15479\n89946 100000\n71010 100000\n15783 23635\n89012 100000\n99722 100000\n90048 100000\n96867 100000\n45416 68187\n13935 20855\n72550 100000\n5459 8211\n50466 75735\n7087 10640\n85027 100000\n34372 51609\n66304 99458\n18506 27770\n35308 53005\n67970 100000\n16255 24339\n106 161\n85792 100000\n91870 100000\n32651 49020\n62658 94004\n80369 100000\n62500 93768\n20610 30943\n78342 100000\n44211 66399\n19007 28517\n1297 1924\n24383 36606\n61387 92084\n72849 100000\n82620 100000\n25816 38724\n21742 32647\n26128 39184\n42622 64021\n50631 75981\n58779 88217\n35778 53700\n61615 92430\n20269 30417\n33117 49714\n69800 100000\n32812 49263\n22668 34033\n76864 100000\n20354 30544\n66068 99106\n55786 83692\n54303 81483\n4570 6877\n240 363\n34799 52248\n21924 32934\n63260 94890\n62717 94092\n34315 51525\n10849 16240\n79063 100000\n52647 79006\n65848 98778\n36692 55055\n84716 100000\n55361 83046\n98197 100000\n40591 60919\n35896 53879\n14895 22297\n19848 29784\n95478 100000\n94356 100000\n61075 91615\n56715 85094\n73917 100000\n94054 100000\n98624 100000\n36515 54800\n39978 59999\n34642 52007\n36918 55400\n89130 100000\n12993 19467\n84658 100000\n39532 59333\n10262 15344\n7037 10566\n764 1149\n14529 21746\n5299 7966\n59860 89819\n57936 86917\n50932 76434\n10813 16182\n22192 33336\n65901 98856\n24585 36917\n51172 76790\n40830 61288\n82258 100000\n42862 64385\n21468 32219\n17414 26120\n83102 100000\n88780 100000\n9708 14518\n39276 58946\n38260 57409\n12937 19386\n88000 100000\n40122 60214\n37795 56726\n8449 12662\n85651 100000\n8994 13460\n56826 85252\n4977 7481\n8125 12181\n99500 100000\n99214 100000\n46156 69300\n27756 41658\n16034 24007\n89950 100000\n41820 62807\n34362 51593\n92512 100000\n99063 100000\n94367 100000\n71901 100000\n27505 41283\n27901 41882\n76620 100000\n76958 100000\n80364 100000\n46176 69333\n63141 94720\n92113 100000\n42589 63967\n8745 13096\n4823 7244\n40185 60306\n65014 97520\n2975 4477\n94254 100000\n27896 41875\n4820 7240\n24648 37012\n84490 100000\n9345 13991\n53252 79899\n56149 84242\n54213 81346\n33606 50449\n45618 68493\n79761 100000\n51793 77732\n23952 35952\n39604 59442\n11502 17215\n85482 100000\n4415 6644\n73101 100000\n84273 100000\n38201 57325\n37745 56647\n70545 100000\n78123 100000\n90926 100000\n12674 18989\n39469 59240\n41063 61639\n42042 63137\n79776 100000\n99834 100000\n94810 100000\n84182 100000\n10482 15673\n47373 71152\n52432 78679\n55222 82844\n27227 40857\n66493 99739\n82298 100000\n61482 92236\n10037 15004\n22631 33983\n97640 100000\n64882 97320\n48380 72650\n53538 80337\n63913 95862\n31336 47049\n21078 31632\n50444 75706\n5819 8750\n64166 96250\n53647 80500\n8318 12474\n18234 27358\n93104 100000\n97432 100000\n75170 100000\n2957 4450\n14832 22203\n7179 10777\n99100 100000\n31161 46792\n93870 100000\n4371 6584\n67511 100000\n11510 17226\n41871 62883\n57772 86666\n88558 100000\n81080 100000\n58551 87870\n88304 100000\n51304 76983\n22603 33944\n84882 100000\n88561 100000\n63197 94797\n96263 100000\n90029 100000\n42869 64394\n9385 14048\n9836 14712\n83120 100000\n33730 50641\n20650 30997\n2251 3374\n62400 93615\n94693 100000\n98540 100000\n87823 100000\n37302 55980\n13113 19647\n96200 100000\n56409 84631\n15363 23010\n93109 100000\n87765 100000\n81788 100000\n83226 100000\n39833 59784\n52887 79373\n14945 22371\n99438 100000\n53489 80265\n95590 100000\n76948 100000\n6944 10426\n39295 58975\n54182 81298\n27018 40535\n33765 50695\n164 249\n46163 69312\n91687 100000\n47714 71662\n94378 100000\n14470 21658\n36726 55105\n68072 100000\n86930 100000\n26101 39145\n71888 100000\n34553 51871\n3923 5913\n40105 60187\n2608 3914\n34546 51862\n99147 100000\n35113 52710\n69091 100000\n61195 91796\n61471 92217\n69961 100000\n80375 100000\n49987 75029\n54260 81419\n99380 100000\n68083 100000\n21543 32330\n29647 44502\n98384 100000\n28611 42958\n18736 28120\n47813 71809\n10987 16447\n61685 92531\n86844 100000\n1834 2755\n51813 77762\n17879 26827\n34256 51431\n88183 100000\n61209 91817\n45496 68313\n36208 54335\n7101 10660\n15652 23439\n96108 100000\n12627 18920\n62464 93711\n37886 56862\n24846 37304\n93771 100000\n84217 100000\n83791 100000\n91266 100000\n99758 100000\n46422 69722\n93202 100000\n31194 46836\n89285 100000\n18308 27471\n73627 100000\n74975 100000\n92742 100000\n73950 100000\n68067 100000\n76075 100000\n46500 69844\n29946 44947\n95043 100000\n4420 6651\n22664 34027\n10179 15220\n50945 76456\n49334 74073\n33323 50026\n19822 29749\n65584 98374\n58776 88212\n2943 4429\n40718 61119\n74603 100000\n24018 36061\n76917 100000\n37747 56651\n24156 36267\n36586 54905\n95177 100000\n8214 12324\n66067 99105\n36074 54143\n19880 29829\n18917 28380\n19416 29137\n27919 41909\n28281 42464\n2809 4218\n67428 100000\n64743 97113\n93774 100000\n58977 88503\n79094 100000\n27131 40712\n74391 100000\n81732 100000\n2626 3947\n84676 100000\n72517 100000\n95607 100000\n42985 64574\n69049 100000\n3282 4935\n78176 100000\n80962 100000\n17967 26957\n68057 100000\n68314 100000\n79582 100000\n45686 68594\n90708 100000\n90569 100000\n141 215\n60785 91191\n49655 74546\n67791 100000\n538 811\n58117 87202\n10164 15198\n43068 64696\n81367 100000\n65309 97969\n14129 21152\n81106 100000\n64732 97099\n52553 78862\n42865 64389\n67617 100000\n78574 100000\n24709 37103\n84248 100000\n63786 95673\n89943 100000\n64582 96874\n33711 50607\n62036 93060\n28010 42046\n66395 99598\n56090 84147\n61646 92476\n3477 5237\n44863 67368\n72673 100000\n75736 100000\n5498 8272\n90468 100000\n29373 44093\n23048 34609\n90226 100000\n23092 34671\n70917 100000\n96196 100000\n8979 13438\n39057 58614\n38469 57722\n52929 79433\n40592 60920\n76089 100000\n39399 59137\n54253 81407\n38929 58420\n74633 100000\n7807 11723\n70366 100000\n67217 100000\n33506 50300\n59152 88761\n41707 62632\n59773 89699\n6337 9520\n98600 100000\n46202 69373\n90771 100000\n93961 100000\n16655 24957\n32501 48798\n17614 26422\n69574 100000\n3176 4774\n19665 29512\n80764 100000\n64944 97420\n53004 79540\n15247 22827\n11695 17512\n32605 48949\n86238 100000\n60696 91058\n59312 89003\n67954 100000\n96470 100000\n94956 100000\n77110 100000\n88594 100000\n52652 79013\n7423 11152\n1268 1881\n80978 100000\n78050 100000\n5461 8214\n60307 90480\n88315 100000\n53199 79825\n9271 13878\n57173 85775\n9468 14175\n36472 54732\n15485 23198\n64120 96179\n55490 83253\n35293 52982\n61955 92935\n96454 100000\n29197 43839\n46220 69403\n23325 35021\n25206 37842\n68096 100000\n74740 100000\n50887 76369\n76734 100000\n65759 98642\n99306 100000\n40561 60874\n31024 46588\n65431 98148\n26447 39682\n74400 100000\n88586 100000\n31230 46891\n50380 75615\n88184 100000\n52716 79110\n48707 73154\n74767 100000\n45127 67764\n75784 100000\n48839 73344\n22798 34226\n86666 100000\n6376 9577\n58293 87474\n5338 8022\n58553 87874\n22530 33832\n71566 100000\n53193 79818\n28338 42546\n13533 20270\n53018 79562\n23711 35592\n44512 66845\n36473 54733\n78405 100000\n80426 100000\n9155 13704\n35222 52878\n40459 60715\n81268 100000\n91507 100000\n62780 94182\n70816 100000\n71796 100000\n94871 100000\n85205 100000\n93600 100000\n52156 78274\n81849 100000\n80124 100000\n65104 97655\n44596 66967\n38486 57749\n34975 52509\n27216 40841\n1132 1684\n43146 64816\n4261 6411\n93279 100000\n7994 11993\n92851 100000\n1290 1912\n50796 76235\n72466 100000\n80074 100000\n47116 70765\n24213 36347\n89454 100000\n18014 27022\n40150 60255\n52322 78511\n36671 55026\n83529 100000\n43392 65179\n66579 99863\n72459 100000\n8095 12140\n78628 100000\n54676 82010\n45856 68851\n18000 27004\n58676 88070\n98086 100000\n81743 100000\n47435 71244\n16373 24515\n32617 48969\n5408 8129\n71879 100000\n84242 100000\n17066 25583\n34339 51560\n179 275\n48167 72332\n97997 100000\n64784 97176\n19445 29181\n56265 84412\n15095 22599\n31708 47592\n59216 88857\n82476 100000\n70336 100000\n40661 61027\n39821 59764\n35620 53474\n93566 100000\n36962 55464\n33892 50896\n55583 83392\n23680 35541\n93089 100000\n75986 100000\n63007 94516\n32365 48596\n71969 100000\n96889 100000\n35436 53196\n78455 100000\n72591 100000\n32140 48256\n68351 100000\n4508 6781\n19340 29014\n9199 13772\n94473 100000\n87337 100000\n42683 64115\n26472 39717\n29913 44898\n52539 78841\n81011 100000\n22214 33365\n92686 100000\n31419 47175\n53572 80389\n79647 100000\n83560 100000\n48345 72597\n82807 100000\n60518 90798\n48305 72536\n79133 100000\n6972 10465\n92074 100000\n17261 25891\n16791 25157\n54467 81716\n74269 100000\n56824 85249\n86367 100000\n20515 30797\n1861 2794\n43486 65313\n87772 100000\n42519 63866\n86736 100000\n46621 70026\n92006 100000\n3278 4928\n48204 72384\n18921 28386\n99724 100000\n31358 47082\n34330 51547\n35151 52768\n31533 47341\n3772 5675\n85797 100000\n66980 100000\n2678 4019\n5626 8467\n63152 94737\n35386 53120\n28149 42260\n42676 64102\n85494 100000\n52611 78949\n93831 100000\n47237 70947\n90633 100000\n88092 100000\n6308 9476\n41346 62081\n2905 4366\n64868 97302\n55637 83475\n54990 82486\n78266 100000\n85877 100000\n62819 94242\n3159 4749\n95784 100000\n18317 27483\n70171 100000\n20564 30868\n94169 100000\n65062 97592\n59213 88853\n56678 85040\n2330 3498\n57874 86826\n81354 100000\n67078 100000\n8319 12475\n20057 30089\n53638 80487\n51545 77351\n89419 100000\n82386 100000\n21462 32210\n99534 100000\n48470 72793\n87785 100000\n61780 92671\n99354 100000\n75891 100000\n42178 63337\n50807 76252\n61540 92322\n55299 82957\n65359 98043\n52086 78171\n36744 55130\n40196 60321\n17874 26821\n91851 100000\n96573 100000\n4035 6084\n6197 9310\n45292 68002\n76800 100000\n84772 100000\n32367 48598\n60075 90144\n88507 100000\n41622 62505\n60546 90837\n34160 51292\n89393 100000\n87230 100000\n85414 100000\n90400 100000\n81221 100000\n78851 100000\n24361 36570\n69990 100000\n11340 16975\n47092 70728\n12436 18632\n13396 20071\n21469 32221\n73566 100000\n84118 100000\n11169 16719\n45047 67648\n40630 60981\n90155 100000\n90503 100000\n35050 52619\n96534 100000\n3330 5009\n7202 10816\n66875 100000\n32210 48358\n2390 3589\n46857 70375\n71782 100000\n53705 80587\n19745 29628\n37404 56133\n70954 100000\n53386 80098\n40975 61504\n29115 43714\n22902 34383\n81167 100000\n58296 87479\n73599 100000\n26780 40181\n16549 24793\n38585 57901\n40802 61247\n92904 100000\n89536 100000\n58069 87121\n79372 100000\n2702 4056\n59094 88674\n52896 79384\n14045 21021\n70893 100000\n31624 47480\n47990 72074\n51567 77384\n79632 100000\n89796 100000\n46340 69587\n54280 81447\n82536 100000\n89771 100000\n49527 74364\n24162 36275\n52793 79233\n88447 100000\n88089 100000\n18924 28390\n56185 84297\n77802 100000\n91905 100000\n73970 100000\n7270 10918\n3102 4664\n71061 100000\n37696 56576\n63765 95639\n73575 100000\n31902 47896\n30162 45278\n79811 100000\n18564 27862\n98900 100000\n36496 54770\n61726 92592\n89120 100000\n26247 39377\n99599 100000\n168 256\n36206 54332\n34382 51625\n44929 67469\n52413 78649\n12663 18974\n50488 75770\n94071 100000\n19534 29322\n56118 84192\n79431 100000\n22084 33171\n44952 67502\n41015 61568\n7604 11417\n23331 35028\n95837 100000\n15411 23079\n43582 65456\n835 1257\n83548 100000\n54652 81977\n36954 55454\n92296 100000\n7349 11036\n2799 4206\n94512 100000\n76225 100000\n40238 60384\n17265 25897\n67083 100000\n41637 62527\n9132 13667\n42122 63253\n97886 100000\n99871 100000\n87099 100000\n47057 70676\n92005 100000\n6991 10494\n8490 12724\n1253 1860\n83950 100000\n95973 100000\n44095 66222\n99440 100000\n41588 62450\n73856 100000\n62283 93441\n54809 82212\n65191 97783\n82182 100000\n30758 46189\n57233 85859\n20062 30097\n81402 100000\n44889 67407\n82959 100000\n94000 100000\n16375 24518\n20923 31401\n80803 100000\n20265 30410\n36174 54286\n60160 90270\n10398 15545\n48904 73442\n95012 100000\n61939 92910\n78600 100000\n70462 100000\n87336 100000\n6035 9062\n28083 42159\n48510 72857\n75244 100000\n68861 100000\n73093 100000\n64649 96974\n24534 36842\n59980 89998\n45017 67605\n47495 71335\n49529 74367\n58022 87042\n91215 100000\n71610 100000\n71783 100000\n10829 16208\n46554 69928\n54873 82307\n29514 44300\n48039 72150\n77233 100000\n47377 71157\n84207 100000\n40402 60632\n25356 38051\n63452 95171\n21947 32966\n98453 100000\n19231 28854\n78273 100000\n47515 71363\n85637 100000\n29399 44130\n30806 46257\n86866 100000\n95347 100000\n98967 100000\n89321 100000\n61835 92756\n81558 100000\n77958 100000\n87846 100000\n1683 2522\n54477 81731\n88656 100000\n40156 60264\n47843 71854\n22152 33274\n35432 53189\n42685 64118\n10910 16331\n95137 100000\n26935 40412\n8799 13175\n5687 8556\n71811 100000\n53623 80467\n17201 25798\n31275 46955\n12580 18848\n84388 100000\n18164 27255\n82437 100000\n67385 100000\n609 920\n3420 5151\n62254 93394\n58638 88007\n70759 100000\n65467 98206\n14690 21987\n55071 82608\n88330 100000\n28473 42747\n63040 94563\n13333 19980\n44701 67117\n33317 50016\n92535 100000\n31103 46707\n50951 76465\n36194 54314\n75026 100000\n74176 100000\n10893 16309\n76632 100000\n94002 100000\n40650 61009\n7893 11849\n71119 100000\n9631 14403\n56394 84607\n89701 100000\n31106 46713\n93156 100000\n86820 100000\n80171 100000\n77414 100000\n91801 100000\n69321 100000\n88968 100000\n48825 73323\n86324 100000\n22616 33963\n69371 100000\n58516 87817\n9481 14196\n9316 13947\n67995 100000\n99841 100000\n16415 24577\n69078 100000\n1091 1624\n8057 12090\n57981 86982\n82873 100000\n48134 72282\n71453 100000\n14085 21082\n24108 36197\n99082 100000\n87657 100000\n26859 40301\n3498 5267\n63825 95729\n48334 72580\n56603 84928\n42062 63164\n32965 49486\n56501 84774\n79336 100000\n15207 22769\n24726 37123\n81472 100000\n23030 34578\n52273 78438\n74581 100000\n49425 74207\n92901 100000\n71101 100000\n80767 100000\n72292 100000\n93781 100000\n19985 29981\n89957 100000\n68952 100000\n87600 100000\n16125 24148\n47951 72016\n86386 100000\n31826 47780\n67874 100000\n1061 1585\n51186 76812\n31217 46872\n28011 42047\n322 491\n10955 16397\n18646 27981\n59147 88754\n55296 82953\n88431 100000\n27187 40792\n76437 100000\n76670 100000\n18876 28320\n93371 100000\n28235 42393\n50927 76428\n13461 20162\n23642 35490\n98369 100000\n70382 100000\n64232 96343\n56890 85344\n52105 78198\n7249 10886\n73395 100000\n72345 100000\n52479 78752\n34140 51267\n1109 1652\n79180 100000\n11703 17524\n59696 89580\n88511 100000\n88011 100000\n61392 92091\n60177 90298\n76857 100000\n576 870\n81381 100000\n69797 100000\n68085 100000\n73242 100000\n52974 79497\n23363 35075\n98137 100000\n5180 7779\n3755 5650\n66869 100000\n98035 100000\n25316 37998\n39499 59284\n63341 95008\n5441 8185\n23979 35995\n91846 100000\n36465 54721\n72257 100000\n38649 57996\n97958 100000\n10141 15168\n8927 13365\n66428 99644\n21501 32270\n64525 96795\n75425 100000\n36876 55329\n897 1349\n69922 100000\n24884 37360\n50124 75230\n78861 100000\n3943 5942\n82768 100000\n66527 99787\n24100 36185\n17360 26042\n26629 39951\n64090 96137\n97198 100000\n42812 64316\n69874 100000\n92087 100000\n16814 25197\n85833 100000\n97086 100000\n5250 7889\n91198 100000\n69439 100000\n79362 100000\n25004 37543\n27959 41970\n33381 50110\n63031 94549\n16919 25359\n97619 100000\n26448 39684\n5846 8790\n79769 100000\n74520 100000\n89644 100000\n67034 100000\n55684 83539\n50064 75139\n98272 100000\n29394 44122\n29119 43720\n16296 24403\n72960 100000\n39586 59417\n40812 61261\n96492 100000\n86462 100000\n82272 100000\n6063 9110\n22807 34237\n82789 100000\n93411 100000\n72379 100000\n60454 90703\n69548 100000\n70781 100000\n8802 13181\n7896 11853\n37806 56741\n79001 100000\n51382 77102\n21218 31842\n3846 5789\n36239 54381\n17536 26304\n9868 14760\n78222 100000\n23636 35482\n52756 79177\n55192 82800\n14075 21066\n92772 100000\n92137 100000\n70304 100000\n54724 82084\n54206 81335\n23258 34919\n68258 100000\n16980 25454\n63796 95686\n94064 100000\n66703 100000\n59873 89838\n86387 100000\n57270 85910\n69798 100000\n60505 90777\n65381 98073\n7015 10532\n76355 100000\n87335 100000\n15823 23688\n78576 100000\n73488 100000\n52789 79227\n82208 100000\n43773 65737\n53560 80370\n45188 67851\n36911 55387\n18867 28309\n21272 31922\n79486 100000\n75178 100000\n17473 26210\n91111 100000\n56606 84931\n26341 39521\n15438 23124\n43387 65171\n66724 100000\n91807 100000\n80619 100000\n54413 81633\n13384 20056\n33434 50186\n22654 34012\n7173 10768\n13548 20292\n62267 93415\n38903 58382\n82642 100000\n22185 33324\n38990 58520\n35060 52634\n44578 66938\n9847 14729\n2100 3144\n77277 100000\n59095 88676\n68399 100000\n79456 100000\n41033 61597\n3193 4804\n51589 77420\n67482 100000\n10437 15607\n9289 13907\n94423 100000\n54818 82227\n7831 11758\n9895 14801\n79701 100000\n89021 100000\n34665 52044\n30892 46388\n4654 7000\n860 1295\n61460 92197\n93054 100000\n531 801\n24033 36083\n95518 100000\n24825 37276\n50120 75223\n31642 47502\n48756 73223\n9630 14402\n30909 46416\n31234 46895\n20907 31378\n42317 63553\n47384 71167\n96210 100000\n29034 43595\n59816 89761\n12093 18111\n52375 78590\n65417 98126\n26925 40396\n93100 100000\n36619 54951\n94431 100000\n61386 92083\n51409 77144\n36132 54227\n52131 78235\n30839 46307\n11032 16515\n92771 100000\n67977 100000\n9692 14494\n15822 23687\n90034 100000\n47397 71188\n42189 63353\n29288 43969\n907 1366\n56209 84329\n1431 2139\n2076 3109\n58303 87492\n38889 58362\n10905 16326\n34689 52079\n78824 100000\n87759 100000\n44200 66384\n10013 14969\n7603 11415\n76116 100000\n39202 58836\n19782 29686\n47823 71825\n2658 3991\n27215 40840\n82048 100000\n38899 58378\n80714 100000\n32593 48930\n90022 100000\n31672 47542\n60587 90898\n35520 53318\n41304 62017\n19204 28812\n59691 89572\n93231 100000\n12839 19237\n59528 89328\n79638 100000\n9040 13530\n48885 73412\n52289 78460\n25423 38153\n57381 86077\n4010 6048\n34094 51207\n18123 27189\n13407 20086\n75115 100000\n6059 9103\n76448 100000\n72881 100000\n58396 87634\n15913 23822\n7627 11457\n80118 100000\n38855 58312\n50774 76203\n79653 100000\n38563 57870\n88353 100000\n25575 38370\n58457 87730\n46088 69198\n31302 46995\n47599 71488\n4722 7099\n33225 49874\n18824 28244\n59939 89943\n79275 100000\n38347 57542\n67339 100000\n26626 39946\n65258 97883\n44096 66223\n83321 100000\n72247 100000\n22467 33736\n88100 100000\n21544 32331\n44241 66446\n44733 67161\n47439 71251\n33569 50397\n15606 23373\n8787 13157\n30559 45886\n2491 3735\n79750 100000\n5939 8924\n40127 60221\n40398 60626\n33322 50024\n9106 13628\n19999 30000\n67667 100000\n47502 71345\n82686 100000\n15522 23250\n55890 83846\n13663 20449\n63430 95139\n94489 100000\n16615 24901\n70208 100000\n1315 1950\n20681 31044\n48785 73268\n17753 26640\n17118 25660\n73882 100000\n95400 100000\n88923 100000\n9305 13931\n86865 100000\n6865 10310\n81931 100000\n66974 100000\n87420 100000\n74313 100000\n76276 100000\n36765 55161\n98042 100000\n95028 100000\n67621 100000\n79866 100000\n54236 81382\n2241 3360\n74947 100000\n46264 69471\n79601 100000\n56034 84066\n73694 100000\n75745 100000\n76560 100000\n61933 92902\n35685 53562\n92196 100000\n29625 44466\n32744 49160\n15869 23759\n60500 90770\n65029 97539\n12376 18537\n73983 100000\n24496 36784\n95410 100000\n47081 70712\n92560 100000\n72543 100000\n52116 78214\n60105 90191\n30019 45061\n16621 24910\n48357 72614\n91493 100000\n58145 87245\n16262 24350\n36631 54968\n64815 97220\n50542 75849\n69958 100000\n90857 100000\n42941 64504\n72654 100000\n25826 38737\n97488 100000\n96868 100000\n81383 100000\n6585 9889\n19057 28590\n18049 27077\n67832 100000\n45203 67871\n77410 100000\n5970 8971\n92648 100000\n19551 29345\n92289 100000\n96903 100000\n17060 25572\n70050 100000\n43352 65120\n90722 100000\n63270 94902\n79507 100000\n84019 100000\n8519 12762\n99377 100000\n38404 57625\n59367 89087\n1417 2117\n10503 15706\n34691 52083\n90378 100000\n59822 89768\n1953 2926\n18125 27192\n11397 17055\n61474 92222\n56969 85470\n829 1247\n59399 89137\n84301 100000\n68272 100000\n79216 100000\n55552 83346\n49795 74756\n65742 98618\n66106 99164\n59097 88679\n9652 14433\n92169 100000\n25982 38968\n71797 100000\n36124 54215\n42261 63462\n71637 100000\n94172 100000\n91996 100000\n81592 100000\n50408 75654\n79896 100000\n17563 26341\n10561 15792\n90614 100000\n33477 50253\n79630 100000\n60057 90117\n49971 75005\n85153 100000\n66806 100000\n33088 49669\n79098 100000\n25450 38187\n86797 100000\n87956 100000\n75095 100000\n4254 6400\n80252 100000\n83867 100000\n19273 28913\n13397 20073\n38481 57740\n58899 88402\n5256 7899\n51431 77178\n88055 100000\n62317 93488\n2282 3424\n64681 97022\n54801 82201\n48406 72695\n18987 28489\n42220 63403\n50182 75319\n2354 3537\n18742 28128\n62287 93445\n90688 100000\n99719 100000\n94046 100000\n12796 19175\n63520 95274\n60411 90641\n8416 12615\n29532 44330\n22665 34028\n48706 73153\n52128 78230\n88733 100000\n87906 100000\n5471 8230\n10488 15683\n28414 42661\n7455 11202\n86990 100000\n45061 67672\n35893 53875\n84048 100000\n29286 43965\n59751 89664\n7157 10743\n17248 25871\n15443 23132\n23932 35923\n803 1207\n88878 100000\n44816 67291\n16852 25255\n22700 34081\n23261 34924\n44216 66407\n32093 48186\n38926 58415\n25088 37664\n19883 29834\n97497 100000\n98245 100000\n61844 92772\n84253 100000\n49010 73603\n11421 17089\n81761 100000\n51442 77194\n68211 100000\n38145 57248\n98114 100000\n43128 64790\n9783 14633\n16270 24363\n53982 81004\n54289 81461\n7104 10663\n39071 58637\n32972 49498\n50601 75938\n10716 16036\n18145 27222\n84890 100000\n60282 90443\n12137 18179\n95559 100000\n87451 100000\n84292 100000\n44559 66913\n50776 76207\n74117 100000\n31877 47860\n39772 59694\n55188 82795\n82903 100000\n25310 37991\n45862 68859\n86874 100000\n23357 35066\n95415 100000\n9309 13936\n10104 15109\n38770 58187\n17163 25738\n96630 100000\n22292 33484\n98576 100000\n71114 100000\n69754 100000\n46261 69466\n87921 100000\n86627 100000\n17491 26236\n34959 52487\n56863 85305\n87743 100000\n99184 100000\n39589 59423\n10414 15570\n56476 84735\n76711 100000\n43086 64725\n78224 100000\n64866 97298\n11819 17703\n3745 5635\n5533 8325\n70722 100000\n79188 100000\n67886 100000\n93272 100000\n3749 5641\n21426 32158\n67041 100000\n89350 100000\n96239 100000\n80684 100000\n82942 100000\n58001 87011\n225 341\n84310 100000\n84103 100000\n83427 100000\n92557 100000\n45272 67974\n27854 41809\n39163 58780\n40760 61183\n8582 12856\n56451 84701\n82850 100000\n30897 46396\n66104 99161\n3324 5001\n984 1472\n32355 48579\n20797 31209\n14093 21094\n23955 35957\n84823 100000\n42610 64001\n93797 100000\n34700 52096\n81948 100000\n45827 68803\n39802 59736\n19469 29218\n36014 54053\n98250 100000\n61888 92835\n69151 100000\n42910 64454\n55750 83639\n81795 100000\n12531 18775\n52985 79511\n35413 53159\n62465 93712\n94766 100000\n94319 100000\n73220 100000\n1425 2130\n84672 100000\n85155 100000\n71906 100000\n24896 37379\n36125 54217\n36145 54245\n25950 38917\n32847 49313\n44501 66828\n12774 19139\n45516 68345\n3361 5057\n96083 100000\n67024 100000\n97898 100000\n75151 100000\n60020 90060\n32644 49011\n31984 48020\n69419 100000\n9327 13964\n40135 60233\n15293 22894\n35851 53810\n10240 15310\n70431 100000\n62103 93164\n87366 100000\n34214 51372\n22736 34134\n15552 23293\n90169 100000\n1039 1552\n99231 100000\n45544 68382\n10494 15693\n28373 42601\n21658 32520\n28709 43097\n7715 11588\n60743 91128\n16336 24461\n72417 100000\n4779 7184\n32780 49215\n44891 67410\n1258 1869\n98848 100000\n32712 49107\n37204 55829\n80053 100000\n23542 35343\n18625 27952\n33057 49630\n81064 100000\n41893 62915\n27211 40834\n24139 36241\n97210 100000\n51402 77132\n74835 100000\n18519 27790\n6202 9317\n27489 41254\n46091 69202\n62727 94107\n44767 67213\n68541 100000\n878 1320\n33574 50403\n67677 100000\n33123 49722\n62296 93457\n76065 100000\n64312 96472\n69027 100000\n975 1458\n32896 49386\n70117 100000\n71825 100000\n93121 100000\n37694 56572\n8767 13129\n97321 100000\n12682 19000\n88074 100000\n54449 81688\n32019 48074\n73398 100000\n78498 100000\n76352 100000\n54651 81976\n6828 10248\n71890 100000\n11235 16816\n68822 100000\n60552 90845\n18717 28091\n7506 11277\n54319 81509\n47974 72048\n61355 92039\n95960 100000\n85396 100000\n45013 67599\n85177 100000\n95228 100000\n97130 100000\n43869 65880\n77392 100000\n5107 7672\n28485 42766\n31697 47576\n72742 100000\n68051 100000\n87401 100000\n25689 38534\n32749 49167\n89879 100000\n30247 45412\n91095 100000\n85566 100000\n56815 85236\n62823 94248\n85635 100000\n24065 36129\n47063 70685\n39941 59948\n77889 100000\n18618 27942\n44169 66339\n40626 60975\n88979 100000\n90038 100000\n73209 100000\n48591 72978\n12734 19078\n151 229\n12962 19421\n9527 14263\n17520 26280\n56233 84364\n16250 24330\n64651 96978\n49637 74524\n56895 85353\n39920 59919\n81316 100000\n66963 100000\n13616 20382\n6523 9797\n73976 100000\n44387 66664\n27582 41397\n28163 42281\n26560 39850\n69164 100000\n94551 100000\n91877 100000\n38590 57908\n42305 63531\n69550 100000\n75654 100000\n52962 79480\n25437 38171\n15637 23415\n67963 100000\n58437 87696\n83363 100000\n27979 42001\n62250 93387\n56186 84298\n34179 51323\n20415 30638\n86800 100000\n89430 100000\n59574 89396\n78683 100000\n23428 35168\n68567 100000\n79571 100000\n86109 100000\n82327 100000\n46299 69524\n45672 68570\n91607 100000\n13823 20687\n85241 100000\n66677 100000\n59906 89887\n288 432\n67304 100000\n97973 100000\n20989 31496\n81368 100000\n42612 64005\n66927 100000\n90845 100000\n33558 50381\n74127 100000\n44932 67474\n74254 100000\n25003 37541\n81563 100000\n95878 100000\n37301 55979\n92317 100000\n96955 100000\n66060 99093\n17173 25755\n48994 73580\n26152 39227\n62796 94206\n70716 100000\n33861 50848\n77982 100000\n79222 100000\n40463 60723\n16081 24082\n89785 100000\n53359 80057\n51955 77970\n58603 87951\n75817 100000\n24662 37033\n63533 95294\n47753 71717\n98281 100000\n97123 100000\n73215 100000\n77139 100000\n37785 56708\n98888 100000\n48197 72375\n74507 100000\n86442 100000\n20548 30848\n54734 82098\n86160 100000\n34285 51477\n94785 100000\n28081 42157\n70295 100000\n72330 100000\n35176 52806\n2917 4386\n92148 100000\n54940 82410\n44446 66747\n11293 16904\n22519 33817\n51547 77353\n57721 86589\n47851 71866\n27052 40587\n45762 68710\n83623 100000\n89917 100000\n76255 100000\n55178 82781\n79946 100000\n43777 65743\n2666 4002\n32352 48575\n23 34\n25086 37661\n95928 100000\n3661 5511\n7381 11086\n42737 64198\n99131 100000\n83423 100000\n48519 72868\n72140 100000\n92679 100000\n64835 97250\n33684 50568\n5041 7574\n24038 36089\n27380 41086\n32746 49163\n70216 100000\n19725 29599\n23783 35696\n97985 100000\n74192 100000\n92426 100000\n68711 100000\n49864 74858\n92128 100000\n56092 84149\n69268 100000\n36044 54101\n94044 100000\n6239 9369\n27688 41555\n68879 100000\n4507 6780\n22595 33933\n30913 46422\n84582 100000\n46711 70158\n76870 100000\n83740 100000\n61776 92665\n42491 63826\n453 688\n20028 30045\n45459 68255\n8997 13465\n89357 100000\n88774 100000\n3977 5996\n8501 12739\n79480 100000\n29670 44532\n35976 53993\n46239 69432\n88668 100000\n93936 100000\n34533 51845\n42525 63876\n73197 100000\n78114 100000\n64431 96656\n19721 29593\n51880 77858\n98804 100000\n3021 4544\n8233 12349\n36181 54296\n74961 100000\n80120 100000\n26047 39071\n12480 18698\n2714 4077\n22126 33239\n97955 100000\n27321 40995\n26746 40128\n89123 100000\n91011 100000\n95337 100000\n43123 64783\n97756 100000\n43717 65656\n6516 9787\n19214 28827\n99932 100000\n55745 83633\n77091 100000\n6801 10212\n41690 62606\n13341 19991\n23157 34770\n32038 48103\n94468 100000\n95585 100000\n89581 100000\n15863 23748\n77631 100000\n45739 68674\n60780 91184\n7512 11286\n22096 33191\n48016 72113\n33905 50915\n52495 78776\n10907 16328\n5451 8199\n99549 100000\n51679 77559\n32945 49457\n41280 61980\n36198 54319\n67336 100000\n11002 16470\n87910 100000\n82632 100000\n75727 100000\n96728 100000\n69475 100000\n39360 59074\n4532 6816\n69272 100000\n17505 26256\n83357 100000\n41394 62156\n84574 100000\n58458 87731\n96444 100000\n45066 67679\n25709 38562\n28538 42846\n92905 100000\n87367 100000\n49564 74420\n21342 32029\n9295 13917\n24457 36718\n73571 100000\n30469 45749\n79248 100000\n95114 100000\n76222 100000\n91289 100000\n65915 98879\n79937 100000\n63069 94608\n40245 60394\n20527 30816\n65657 98487\n6436 9666\n10606 15863\n59993 90019\n51857 77824\n28253 42419\n1256 1866\n783 1175\n38046 57099\n88982 100000\n51317 77004\n82888 100000\n44275 66495\n45631 68511\n89863 100000\n78140 100000\n21147 31733\n66848 100000\n83938 100000\n73119 100000\n68673 100000\n99409 100000\n84534 100000\n44150 66307\n31372 47103\n88936 100000\n37666 56528\n92987 100000\n84065 100000\n25246 37904\n17379 26067\n14044 21020\n15140 22663\n98105 100000\n1622 2426\n33044 49609\n44417 66707\n68453 100000\n27349 41035\n43634 65529\n13211 19795\n80216 100000\n92585 100000\n11522 17244\n77609 100000\n27804 41734\n84208 100000\n49042 73649\n16493 24700\n92878 100000\n54633 81951\n92465 100000\n95219 100000\n44815 67290\n75441 100000\n89695 100000\n43671 65584\n2690 4040\n32016 48069\n62242 93374\n66272 99412\n32485 48775\n25614 38425\n37686 56560\n86340 100000\n2696 4049\n36130 54224\n19694 29555\n78347 100000\n72684 100000\n6565 9859\n3454 5205\n53653 80509\n17220 25827\n35870 53839\n86258 100000\n26825 40250\n63845 95757\n30935 46452\n41740 62685\n21739 32642\n78814 100000\n82221 100000\n7731 11613\n37120 55700\n98721 100000\n2181 3270\n56183 84293\n38579 57894\n81979 100000\n53591 80418\n62715 94089\n60559 90856\n12033 18032\n43163 64842\n65785 98683\n67708 100000\n38543 57839\n25507 38270\n44021 66110\n91444 100000\n28606 42950\n6624 9942\n1466 2195\n5208 7822\n55707 83574\n60884 91335\n43608 65491\n9431 14122\n60285 90446\n63957 95933\n53908 80893\n74371 100000\n1734 2603\n23196 34827\n56207 84327\n27465 41216\n52100 78190\n27806 41737\n39750 59664\n52853 79321\n42398 63685\n35269 52949\n20091 30141\n473 717\n2519 3779\n63699 95544\n84286 100000\n17418 26126\n79517 100000\n68495 100000\n42595 63978\n46569 69950\n4784 7190\n30111 45198\n8381 12562\n74908 100000\n73414 100000\n5836 8773\n42775 64259\n88374 100000\n69468 100000\n4663 7012\n67613 100000\n22332 33537\n43271 65000\n98100 100000\n56180 84290\n88026 100000\n83713 100000\n261 393\n54519 81789\n66668 99988\n52680 79056\n80082 100000\n77114 100000\n44273 66493\n97893 100000\n82697 100000\n94020 100000\n56192 84308\n96190 100000\n24837 37291\n48245 72441\n38374 57576\n34011 51079\n55500 83265\n34367 51600\n26939 40418\n92468 100000\n63998 95996\n81866 100000\n97175 100000\n79593 100000\n96112 100000\n908 1368\n6798 10207\n3495 5262\n83537 100000\n14474 21664\n22170 33300\n52167 78287\n45011 67595\n47840 71849\n12269 18372\n28631 42987\n79007 100000\n24628 36978\n19591 29404\n49928 74944\n69771 100000\n17510 26265\n27375 41079\n42384 63663\n28086 42165\n31524 47328\n63106 94666\n56388 84598\n3163 4755\n33424 50168\n77612 100000\n78949 100000\n28958 43479\n41759 62714\n9866 14756\n67359 100000\n93303 100000\n95151 100000\n7623 11450\n13440 20134\n18362 27551\n22495 33779\n36551 54853\n70998 100000\n16380 24524\n20651 30998\n56317 84492\n533 804\n57648 86483\n39994 60019\n96399 100000\n14443 21619\n2254 3379\n83169 100000\n32817 49272\n42059 63159\n96428 100000\n68779 100000\n38972 58490\n49278 74000\n29062 43634\n24201 36330\n18543 27831\n50677 76047\n56291 84449\n10790 16151\n77088 100000\n86399 100000\n9915 14827\n86870 100000\n79893 100000\n14300 21405\n24141 36244\n85627 100000\n14220 21293\n16905 25337\n30948 46472\n34660 52037\n31425 47183\n73163 100000\n72032 100000\n48112 72251\n53348 80041\n83125 100000\n2841 4262\n5998 9011\n72095 100000\n78808 100000\n40441 60693\n96752 100000\n9057 13553\n22757 34162\n77063 100000\n86337 100000\n10623 15888\n75859 100000\n46734 70190\n80539 100000\n56385 84594\n55475 83227\n83068 100000\n94859 100000\n24364 36575\n98628 100000\n49828 74805\n48404 72691\n16664 24971\n74335 100000\n76628 100000\n80235 100000\n91123 100000\n12703 19030\n5021 7545\n11977 17949\n13152 19704\n52552 78860\n77310 100000\n84466 100000\n86403 100000\n61747 92625\n56821 85243\n45732 68665\n84589 100000\n72070 100000\n15825 23690\n79804 100000\n48605 73000\n66399 99603\n61256 91891\n84853 100000\n70387 100000\n74759 100000\n17403 26104\n29304 43991\n1237 1837\n70492 100000\n49719 74642\n44620 67003\n21729 32626\n23194 34824\n94227 100000\n11651 17439\n69030 100000\n22425 33670\n81138 100000\n23883 35845\n46991 70569\n77045 100000\n53007 79544\n89835 100000\n40103 60185\n60169 90285\n65498 98251\n26926 40398\n50255 75430\n68723 100000\n8062 12095\n23155 34767\n7757 11651\n76117 100000\n75130 100000\n85911 100000\n50009 75062\n53218 79851\n41798 62774\n12190 18255\n66723 100000\n13703 20509\n94843 100000\n10006 14958\n85440 100000\n8653 12958\n17316 25975\n51670 77548\n92206 100000\n42726 64177\n14103 21111\n86112 100000\n94655 100000\n22007 33057\n41685 62598\n85314 100000\n7328 11007\n91284 100000\n73768 100000\n13203 19782\n9998 14948\n24746 37156\n82224 100000\n24366 36579\n33716 50616\n25981 38967\n15514 23237\n68763 100000\n28067 42135\n87227 100000\n52527 78825\n43455 65266\n32631 48994\n15470 23177\n70747 100000\n2009 3010\n42732 64189\n22163 33289\n28703 43089\n90445 100000\n32633 48996\n8742 13091\n95144 100000\n61627 92447\n95966 100000\n98662 100000\n48800 73289\n36272 54434\n68924 100000\n99653 100000\n59882 89853\n75007 100000\n16242 24320\n87898 100000\n12638 18937\n6848 10282\n73652 100000\n47795 71780\n34985 52521\n44912 67441\n70309 100000\n69684 100000\n83966 100000\n73238 100000\n49924 74939\n44050 66154\n47535 71394\n71368 100000\n98043 100000\n54007 81043\n40075 60146\n7048 10584\n11439 17120\n26785 40189\n14255 21340\n7965 11950\n90174 100000\n52603 78937\n54133 81228\n96994 100000\n63773 95651\n26739 40117\n92327 100000\n66988 100000\n9119 13650\n31200 46845\n49770 74717\n9912 14824\n44088 66211\n84061 100000\n30550 45873\n68517 100000\n558 841\n8568 12835\n3640 5479\n49735 74664\n39502 59288\n11170 16720\n69498 100000\n28431 42688\n8021 12034\n35305 53000\n3414 5142\n44832 67316\n58694 88092\n79079 100000\n53079 79650\n45 67\n55802 83713\n13292 19917\n42155 63308\n4338 6532\n98409 100000\n18223 27341\n67966 100000\n4731 7114\n54701 82049\n64104 96156\n38732 58127\n10556 15783\n29232 43892\n70906 100000\n9043 13534\n40021 60064\n2659 3992\n80879 100000\n88433 100000\n88423 100000\n14743 22069\n27072 40620\n91975 100000\n94902 100000\n90878 100000\n85621 100000\n59218 88860\n80616 100000\n8761 13122\n67926 100000\n11087 16599\n40301 60479\n54360 81562\n96674 100000\n28144 42253\n39037 58588\n92826 100000\n88310 100000\n16354 24487\n57216 85837\n7770 11670\n68914 100000\n4707 7077\n30376 45601\n10190 15233\n59371 89094\n15499 23220\n91739 100000\n36960 55462\n84877 100000\n85724 100000\n81360 100000\n69305 100000\n18370 27563\n69035 100000\n9904 14814\n42250 63445\n8608 12893\n76481 100000\n24430 36675\n16098 24106\n27440 41176\n53217 79849\n24998 37536\n31342 47057\n74258 100000\n84473 100000\n3870 5828\n67484 100000\n17509 26263\n69144 100000\n77049 100000\n13437 20130\n26982 40480\n30397 45635\n58925 88432\n7485 11245\n1961 2939\n77662 100000\n53798 80729\n33001 49543\n68536 100000\n61036 91556\n76030 100000\n42457 63774\n25266 37931\n33566 50392\n66408 99615\n62257 93399\n43724 65666\n14792 22142\n7361 11056\n74359 100000\n59784 89712\n2723 4093\n26340 39520\n57069 85628\n97360 100000\n23017 34557\n949 1427\n3774 5679\n66043 99068\n18856 28293\n6953 10439\n64378 96568\n86318 100000\n24563 36884\n62526 93808\n39337 59039\n32694 49082\n74923 100000\n65880 98828\n92104 100000\n99574 100000\n5976 8979\n64449 96685\n55620 83447\n7425 11155\n99911 100000\n9452 14150\n27080 40632\n67142 100000\n18691 28050\n22077 33160\n14643 21917\n83235 100000\n17826 26750\n16869 25280\n97037 100000\n72650 100000\n84360 100000\n38703 58083\n31827 47781\n74160 100000\n28946 43461\n5118 7689\n30070 45136\n44121 66262\n58819 88273\n39774 59697\n51449 77205\n25561 38346\n22862 34320\n37608 56448\n23645 35493\n67924 100000\n94293 100000\n13122 19661\n14645 21921\n30052 45109\n65711 98573\n3046 4580\n61961 92944\n98329 100000\n49794 74754\n2923 4398\n59210 88849\n82895 100000\n14551 21780\n26616 39932\n59153 88762\n34275 51462\n72036 100000\n40695 61083\n5660 8515\n40764 61190\n10766 16115\n16753 25102\n85926 100000\n45813 68782\n37892 56869\n15224 22792\n76416 100000\n38282 57445\n8618 12905\n37014 55548\n54209 81341\n67898 100000\n56708 85084\n73235 100000\n68246 100000\n15724 23542\n21767 32685\n22513 33809\n41948 62994\n82247 100000\n8546 12803\n12345 18491\n95141 100000\n91704 100000\n82930 100000\n390 592\n68054 100000\n7979 11973\n29085 43667\n8311 12463\n99530 100000\n8080 12118\n82729 100000\n10149 15178\n85050 100000\n23580 35397\n52360 78567\n46298 69522\n14687 21982\n24644 37006\n59841 89794\n46048 69137\n70516 100000\n23312 35000\n98884 100000\n33440 50196\n80317 100000\n92782 100000\n81762 100000\n41754 62706\n90624 100000\n4363 6570\n83620 100000\n31969 47997\n80165 100000\n74010 100000\n2395 3595\n11253 16846\n46103 69220\n82085 100000\n7720 11595\n39834 59785\n77368 100000\n19284 28929\n15299 22904\n54996 82493\n61232 91853\n33032 49591\n29344 44053\n60378 90593\n54759 82138\n34703 52101\n34746 52165\n54877 82313\n93585 100000\n63760 95633\n989 1480\n81846 100000\n68101 100000\n48625 73028\n45190 67854\n39582 59410\n16646 24943\n14728 22044\n22585 33916\n98241 100000\n69783 100000\n48681 73114\n87589 100000\n57140 85724\n69920 100000\n41594 62459\n78437 100000\n37408 56139\n46188 69350\n12929 19373\n29752 44656\n57719 86587\n77658 100000\n85045 100000\n756 1138\n91488 100000\n37900 56883\n15493 23211\n21801 32741\n54427 81652\n22481 33759\n91315 100000\n68397 100000\n24919 37416\n79652 100000\n1155 1719\n28700 43085\n55020 82524\n94161 100000\n6499 9762\n74639 100000\n89901 100000\n7653 11494\n88033 100000\n4467 6720\n95150 100000\n74147 100000\n47127 70780\n80166 100000\n72871 100000\n4864 7306\n18774 28173\n98238 100000\n13027 19521\n33318 50017\n73613 100000\n23677 35537\n63561 95338\n26624 39944\n52446 78701\n59316 89009\n3325 5002\n21059 31602\n52554 78864\n2780 4176\n28917 43417\n54323 81515\n91808 100000\n7744 11633\n24887 37364\n56047 84084\n88798 100000\n28197 42335\n20976 31476\n32155 48277\n38867 58328\n61713 92573\n87722 100000\n40930 61442\n62348 93534\n4340 6536\n64099 96150\n81628 100000\n9500 14224\n70782 100000\n28071 42141\n15252 22833\n70857 100000\n73003 100000\n64245 96364\n50977 76504\n67692 100000\n49605 74478\n3139 4718\n97238 100000\n70712 100000\n33696 50587\n77286 100000\n71926 100000\n7394 11106\n36523 54812\n68361 100000\n2725 4096\n91117 100000\n51816 77767\n25195 37825\n96281 100000\n25153 37761\n41752 62704\n49023 73623\n40770 61197\n57245 85876\n88295 100000\n57720 86588\n76331 100000\n55265 82906\n54432 81661\n26873 40322\n72610 100000\n16483 24682\n24685 37067\n55063 82594\n29382 44105\n1220 1815\n89096 100000\n89406 100000\n64925 97388\n91520 100000\n89876 100000\n9648 14427\n24938 37443\n72768 100000\n7605 11418\n99815 100000\n42710 64153\n11392 17048\n59090 88669\n92520 100000\n74644 100000\n58377 87604\n3290 4946\n35539 53349\n56561 84863\n90228 100000\n71581 100000\n31132 46750\n81758 100000\n117 176\n31292 46978\n78210 100000\n53066 79632\n18474 27724\n86560 100000\n84606 100000\n98938 100000\n24304 36477\n54270 81431\n99155 100000\n50415 75663\n58355 87570\n35166 52793\n55819 83737\n25202 37836\n50664 76029\n65081 97617\n56190 84304\n35525 53326\n74772 100000\n36986 55505\n10608 15866\n96184 100000\n76270 100000\n74112 100000\n16111 24128\n12710 19040\n46372 69641\n3241 4875\n2966 4464\n21613 32444\n7581 11384\n36632 54970\n92480 100000\n32254 48428\n49541 74387\n39288 58965\n81375 100000\n40491 60766\n77582 100000\n82608 100000\n69165 100000\n47432 71240\n65260 97887\n44663 67063\n82646 100000\n72143 100000\n64093 96143\n18336 27510\n59276 88950\n714 1077\n95923 100000\n23218 34859\n36143 54243\n48748 73210\n22998 34529\n16447 24628\n58058 87103\n85710 100000\n3689 5554\n74689 100000\n14074 21065\n51451 77207\n65849 98780\n40910 61414\n40087 60161\n80573 100000\n22549 33862\n25975 38958\n70349 100000\n24236 36378\n4055 6115\n55671 83521\n36477 54740\n47323 71075\n80761 100000\n79411 100000\n60943 91423\n30802 46251\n63745 95610\n76298 100000\n42103 63225\n43307 65056\n5365 8061\n42194 63360\n6116 9192\n50659 76024\n1092 1626\n73152 100000\n9165 13720\n93971 100000\n56197 84314\n20185 30284\n29549 44356\n53636 80484\n40656 61018\n19837 29769\n49666 74566\n11673 17476\n17853 26788\n2541 3814\n12068 18078\n74856 100000\n76600 100000\n13785 20626\n16574 24835\n95918 100000\n1841 2766\n17026 25521\n81970 100000\n98791 100000\n26215 39329\n79219 100000\n64068 96105\n57808 86723\n97459 100000\n62518 93793\n22168 33296\n27007 40516\n88017 100000\n94437 100000\n2166 3247\n42579 63954\n52093 78180\n25885 38820\n64282 96426\n43390 65176\n27446 41186\n45757 68702\n25779 38670\n55015 82519\n4307 6482\n98293 100000\n93859 100000\n61507 92273\n14590 21839\n38360 57557\n22657 34016\n2108 3157\n91342 100000\n87837 100000\n84410 100000\n58449 87717\n79331 100000\n41229 61899\n93322 100000\n91813 100000\n33450 50210\n87386 100000\n28846 43306\n45138 67779\n53925 80919\n59787 89718\n75816 100000\n81207 100000\n43632 65527\n7701 11568\n76048 100000\n81718 100000\n3951 5956\n8377 12555\n32813 49265\n46281 69497\n44345 66603\n62944 94424\n96536 100000\n73082 100000\n16195 24249\n79942 100000\n6237 9366\n39446 59203\n94326 100000\n92650 100000\n94849 100000\n99991 100000\n69473 100000\n99218 100000\n58381 87612\n40142 60242\n73845 100000\n59657 89520\n82832 100000\n95076 100000\n33386 50118\n73888 100000\n96662 100000\n23217 34857\n4147 6244\n82007 100000\n84802 100000\n6309 9477\n12124 18158\n26733 40109\n87570 100000\n69062 100000\n37205 55830\n4676 7032\n16231 24304\n75416 100000\n49597 74465\n89121 100000\n82995 100000\n82466 100000\n20118 30180\n86304 100000\n74724 100000\n9612 14377\n52288 78459\n41416 62190\n54951 82425\n50786 76222\n64821 97228\n37935 56938\n7099 10656\n21993 33035\n51479 77248\n75719 100000\n3490 5255\n75592 100000\n82084 100000\n774 1161\n23375 35092\n76527 100000\n92695 100000\n12909 19346\n87871 100000\n69020 100000\n35120 52720\n54282 81451\n65184 97773\n67742 100000\n34690 52081\n67773 100000\n84782 100000\n77848 100000\n72969 100000\n65418 98128\n36837 55269\n73230 100000\n46642 70056\n63987 95979\n37680 56551\n590 892\n75288 100000\n50290 75480\n44950 67499\n99632 100000\n29024 43579\n22173 33305\n27342 41024\n88450 100000\n22200 33347\n71526 100000\n83016 100000\n44240 66444\n58012 87027\n63608 95408\n61330 92003\n21966 32997\n34084 51193\n25908 38851\n21747 32656\n90613 100000\n13650 20431\n6232 9360\n30264 45439\n27670 41527\n32653 49023\n61678 92521\n48996 73583\n54447 81685\n42908 64451\n99737 100000\n86463 100000\n57322 85990\n34192 51340\n68210 100000\n2697 4051\n78867 100000\n90545 100000\n59579 89402\n62986 94484\n6948 10433\n8648 12951\n10370 15503\n16189 24240\n98107 100000\n79020 100000\n24567 36890\n84780 100000\n98000 100000\n85883 100000\n51985 78016\n16145 24176\n43159 64836\n25636 38458\n73452 100000\n44715 67134\n85502 100000\n13794 20641\n76285 100000\n923 1388\n68901 100000\n43937 65985\n97448 100000\n45759 68705\n39287 58963\n59759 89675\n81115 100000\n82509 100000\n62027 93043\n67115 100000\n26351 39538\n8779 13146\n19907 29870\n78271 100000\n38604 57932\n84367 100000\n7278 10930\n57621 86444\n63375 95060\n26113 39164\n62115 93180\n94455 100000\n9356 14009\n86311 100000\n13660 20446\n29219 43871\n14863 22249\n36702 55070\n37493 56269\n15301 22907\n372 564\n96419 100000\n72494 100000\n35661 53528\n75508 100000\n12766 19125\n93860 100000\n46413 69709\n98731 100000\n82409 100000\n59637 89486\n50491 75774\n66906 100000\n15965 23901\n49470 74276\n21787 32719\n9776 14623\n6579 9882\n97177 100000\n79335 100000\n44468 66777\n55424 83150\n29121 43724\n86828 100000\n35043 52609\n482 729\n7448 11192\n26615 39930\n73239 100000\n62368 93567\n39760 59678\n12705 19033\n14675 21966\n80726 100000\n85174 100000\n30296 45485\n21931 32943\n40380 60603\n75209 100000\n60866 91309\n81003 100000\n61427 92146\n69552 100000\n58546 87862\n18279 27425\n52092 78179\n28541 42851\n42413 63708\n37879 56852\n20940 31427\n25619 38434\n97655 100000\n35749 53654\n45600 68465\n61904 92861\n66871 100000\n40333 60531\n72721 100000\n61659 92494\n93157 100000\n66308 99463\n82973 100000\n44862 67367\n8380 12560\n33614 50460\n34658 52034\n62974 94468\n75955 100000\n53072 79640\n43223 64929\n11560 17302\n49569 74427\n93683 100000\n58524 87828\n52284 78454\n45412 68181\n48938 73496\n47827 71831\n27751 41651\n40278 60443\n61716 92577\n18970 28462\n19716 29586\n4840 7269\n5020 7544\n81199 100000\n20852 31292\n43896 65923\n41205 61865\n54739 82105\n76964 100000\n69213 100000\n91467 100000\n84029 100000\n72444 100000\n23158 34771\n89319 100000\n84835 100000\n10562 15794\n28132 42232\n69765 100000\n34628 51985\n38120 57212\n39767 59688\n67853 100000\n8781 13149\n33353 50068\n39541 59345\n70001 100000\n55554 83349\n57089 85654\n84892 100000\n62993 94494\n33964 51005\n9138 13676\n20550 30851\n18372 27567\n64441 96673\n84189 100000\n86402 100000\n88064 100000\n65160 97740\n21895 32890\n99518 100000\n85613 100000\n88286 100000\n93762 100000\n54761 82141\n22161 33287\n84000 100000\n18549 27840\n27218 40844\n15645 23428\n21519 32295\n13962 20898\n29375 44096\n98923 100000\n86665 100000\n98793 100000\n44226 66421\n60115 90207\n70091 100000\n44683 67090\n15375 23026\n29069 43645\n45970 69022\n780 1171\n55575 83381\n41444 62230\n77421 100000\n94677 100000\n405 614\n95690 100000\n24635 36989\n60416 90649\n71472 100000\n72107 100000\n19375 29068\n73250 100000\n71150 100000\n78551 100000\n99941 100000\n92243 100000\n88547 100000\n30161 45276\n66465 99700\n70770 100000\n96041 100000\n11226 16803\n12755 19108\n91072 100000\n27082 40635\n37558 56369\n42767 64245\n62319 93490\n35989 54014\n57730 86601\n81602 100000\n38995 58527\n76531 100000\n8486 12719\n72155 100000\n97426 100000\n15841 23714\n90538 100000\n37418 56154\n60803 91213\n59195 88826\n98129 100000\n32091 48182\n71466 100000\n29339 44045\n58168 87279\n67589 100000\n92155 100000\n52630 78978\n589 890\n9642 14420\n17988 26987\n51688 77573\n82328 100000\n90585 100000\n63763 95637\n17235 25848\n8488 12721\n84925 100000\n59757 89673\n67062 100000\n51822 77775\n34561 51883\n97788 100000\n68836 100000\n47604 71496\n95360 100000\n80345 100000\n48926 73476\n99602 100000\n79175 100000\n50418 75666\n93514 100000\n47052 70669\n23175 34797\n60845 91277\n16743 25086\n16752 25100\n13658 20442\n36087 54160\n54926 82388\n64268 96403\n52015 78064\n93772 100000\n48816 73310\n99953 100000\n55997 84010\n9977 14916\n77555 100000\n78938 100000\n49710 74630\n52954 79469\n88925 100000\n75134 100000\n30996 46547\n82924 100000\n98821 100000\n93258 100000\n60946 91427\n81147 100000\n69790 100000\n79849 100000\n10675 15970\n10478 15666\n2073 3104\n93446 100000\n88357 100000\n37107 55680\n48441 72746\n48575 72951\n66039 99063\n55446 83182\n85955 100000\n69427 100000\n98727 100000\n40825 61278\n99279 100000\n77115 100000\n47216 70914\n26808 40222\n92868 100000\n87745 100000\n93168 100000\n73360 100000\n64865 97296\n15477 23187\n94569 100000\n54963 82443\n82110 100000\n63919 95873\n58424 87676\n19310 28969\n85843 100000\n41244 61921\n99846 100000\n18539 27825\n14404 21557\n16537 24777\n85201 100000\n21824 32777\n21071 31621\n71105 100000\n8251 12377\n95401 100000\n90649 100000\n14534 21752\n54876 82312\n23503 35286\n63214 94822\n84194 100000\n11714 17542\n48843 73349\n80072 100000\n98422 100000\n53737 80636\n99115 100000\n29282 43958\n84981 100000\n16059 24048\n8573 12842\n83318 100000\n93259 100000\n68016 100000\n912 1373\n31543 47355\n423 643\n14691 21988\n94029 100000\n89660 100000\n40432 60681\n48371 72638\n2129 3189\n90489 100000\n28829 43279\n41664 62566\n93782 100000\n1545 2310\n95645 100000\n76245 100000\n77362 100000\n3201 4817\n72435 100000\n45254 67950\n65294 97945\n39134 58736\n22021 33078\n94332 100000\n63901 95844\n63532 95292\n66235 99363\n9220 13802\n14898 22301\n16747 25092\n6696 10053\n46852 70368\n84332 100000\n64448 96684\n91009 100000\n52545 78850\n16676 24987\n15272 22862\n85212 100000\n71761 100000\n91992 100000\n92276 100000\n68600 100000\n8122 12176\n44691 67101\n91282 100000\n27503 41280\n89339 100000\n4762 7161\n66449 99678\n67406 100000\n3084 4637\n26851 40290\n73640 100000\n3187 4793\n98661 100000\n25567 38356\n35428 53183\n71454 100000\n44807 67276\n38593 57914\n22242 33411\n74704 100000\n95145 100000\n69928 100000\n56828 85256\n97451 100000\n65764 98650\n13904 20806\n87495 100000\n99197 100000\n33874 50868\n91932 100000\n183 281\n9526 14262\n86976 100000\n83290 100000\n15103 22611\n38612 57942\n56817 85239\n66124 99193\n81949 100000\n97924 100000\n19763 29655\n99874 100000\n8734 13078\n38578 57892\n81645 100000\n66609 99907\n17356 26035\n49129 73782\n55338 83015\n83538 100000\n35037 52602\n20397 30610\n2479 3719\n83723 100000\n95206 100000\n67489 100000\n69446 100000\n84260 100000\n76063 100000\n71574 100000\n75205 100000\n86175 100000\n59791 89723\n79161 100000\n94627 100000\n46272 69483\n81936 100000\n15669 23465\n23567 35378\n65881 98829\n95155 100000\n18842 28274\n43744 65695\n32396 48640\n38204 57328\n90018 100000\n68698 100000\n95911 100000\n84640 100000\n57366 86056\n62326 93502\n51833 77790\n87545 100000\n4736 7121\n55795 83706\n12005 17988\n208 317\n39906 59901\n69584 100000\n73345 100000\n13342 19992\n96145 100000\n41314 62032\n70710 100000\n37702 56585\n2012 3014\n98631 100000\n54998 82496\n91715 100000\n40629 60979\n69702 100000\n60659 91004\n62235 93365\n44672 67075\n61739 92611\n23055 34617\n35776 53697\n62791 94198\n12462 18669\n53791 80720\n1348 2004\n69299 100000\n27063 40606\n60465 90717\n19173 28771\n69145 100000\n60952 91434\n91344 100000\n51981 78011\n33907 50918\n13751 20580\n32632 48995\n20658 31007\n47733 71690\n86628 100000\n22574 33898\n15821 23685\n64615 96924\n8678 12997\n44551 66903\n66873 100000\n2572 3858\n53442 80186\n90427 100000\n93505 100000\n44860 67363\n895 1346\n48770 73244\n21632 32477\n59284 88962\n30774 46208\n35675 53549\n63555 95330\n5089 7644\n90667 100000\n2568 3853\n10720 16040\n58214 87355\n8406 12601\n85580 100000\n84510 100000\n72136 100000\n24133 36234\n1760 2639\n84114 100000\n17859 26798\n29028 43585\n31190 46832\n24385 36609\n5805 8727\n98143 100000\n1127 1678\n23812 35744\n43211 64911\n29788 44705\n68423 100000\n61656 92491\n52655 79018\n21879 32864\n36440 54685\n10667 15958\n75096 100000\n82210 100000\n98344 100000\n36200 54322\n72626 100000\n30819 46276\n58246 87402\n86681 100000\n74358 100000\n12214 18286\n72028 100000\n73687 100000\n29833 44772\n46607 70005\n70491 100000\n47744 71707\n41512 62335\n42834 64345\n13698 20502\n87810 100000\n88784 100000\n36033 54085\n79853 100000\n95477 100000\n85968 100000\n16587 24855\n27554 41356\n60758 91149\n49917 74931\n73422 100000\n39927 59928\n9209 13787\n72074 100000\n10475 15663\n94641 100000\n50567 75888\n86950 100000\n15519 23246\n98770 100000\n57660 86501\n68752 100000\n51296 76975\n43848 65849\n59035 88592\n62247 93381\n37788 56713\n11146 16684\n21104 31673\n33592 50430\n31501 47295\n24179 36299\n24079 36150\n58492 87785\n50457 75725\n71020 100000\n16067 24060\n66469 99707\n81731 100000\n36423 54660\n49890 74896\n29707 44591\n61162 91748\n58138 87235\n29991 45015\n55977 83979\n66515 99768\n92594 100000\n89784 100000\n36076 54146\n30725 46136\n60364 90568\n73880 100000\n83082 100000\n11579 17329\n3140 4719\n28564 42884\n46749 70213\n27714 41595\n30954 46483\n67507 100000\n48933 73488\n58967 88490\n77237 100000\n8367 12540\n79615 100000\n85847 100000\n72582 100000\n90362 100000\n21900 32899\n21369 32070\n70569 100000\n36973 55484\n24136 36237\n85555 100000\n46356 69614\n37732 56628\n8961 13412\n50715 76106\n60241 90388\n91679 100000\n59340 89047\n81610 100000\n58203 87334\n65563 98346\n94928 100000\n21733 32631\n77725 100000\n87155 100000\n97794 100000\n40026 60071\n40844 61315\n88157 100000\n64658 96988\n97050 100000\n38583 57898\n19749 29633\n17174 25756\n41078 61666\n31000 46554\n15838 23709\n23005 34538\n9885 14787\n65902 98858\n18719 28094\n13578 20334\n83742 100000\n57594 86398\n90105 100000\n89488 100000\n67696 100000\n53261 79912\n52787 79224\n956 1434\n53998 81028\n43349 65115\n84911 100000\n18939 28414\n34364 51596\n15060 22544\n31116 46727\n42871 64398\n24485 36767\n53449 80196\n67631 100000\n96427 100000\n55173 82773\n65018 97526\n3927 5919\n96097 100000\n55949 83934\n22769 34181\n40022 60066\n74836 100000\n80122 100000\n23709 35588\n73642 100000\n95090 100000\n17167 25743\n59461 89228\n74925 100000\n64963 97447\n39755 59671\n50743 76154\n34257 51433\n66825 100000\n11812 17691\n46764 70236\n93459 100000\n58174 87288\n35069 52650\n26675 40020\n79844 100000\n42089 63205\n69524 100000\n54009 81046\n76067 100000\n92334 100000\n6156 9253\n52828 79282\n45048 67649\n74863 100000\n48137 72286\n52672 79044\n86923 100000\n88394 100000\n46917 70460\n36051 54109\n20082 30126\n25865 38792\n82445 100000\n8052 12082\n39191 58818\n70215 100000\n75760 100000\n27272 40920\n40324 60514\n18461 27707\n31737 47639\n67960 100000\n7975 11966\n18159 27246\n25081 37654\n17271 25907\n58810 88260\n76777 100000\n6028 9052\n65101 97650\n65774 98665\n52343 78545\n71821 100000\n20739 31122\n76640 100000\n29191 43829\n62125 93196\n25199 37831\n70315 100000\n52966 79486\n64459 96702\n54807 82209\n18523 27796\n72316 100000\n40223 60360\n59956 89967\n19219 28835\n85095 100000\n97209 100000\n75837 100000\n24291 36457\n49049 73659\n3182 4784\n65706 98564\n50293 75485\n35076 52658\n9246 13840\n73791 100000\n34082 51190\n35101 52694\n75161 100000\n48599 72992\n74684 100000\n53005 79542\n42173 63331\n30482 45769\n73849 100000\n69933 100000\n21097 31660\n76569 100000\n89316 100000\n41012 61564\n80245 100000\n7550 11343\n25656 38489\n35625 53483\n6456 9696\n1508 2257\n46166 69317\n10738 16070\n27166 40759\n75184 100000\n81757 100000\n6160 9259\n56872 85317\n99492 100000\n67044 100000\n22288 33479\n2447 3670\n48749 73212\n57244 85875\n66365 99551\n86811 100000\n11096 16612\n54115 81201\n27159 40751\n19025 28540\n45232 67917\n48212 72396\n49809 74776\n31528 47334\n6424 9650\n30670 46056\n97152 100000\n71745 100000\n69389 100000\n86323 100000\n13617 20383\n78810 100000\n37918 56911\n53809 80744\n18073 27113\n30648 46022\n68534 100000\n78915 100000\n16147 24178\n59772 89697\n23692 35560\n39743 59652\n49381 74139\n78518 100000\n81357 100000\n59148 88755\n53561 80372\n40742 61155\n31615 47466\n70807 100000\n71323 100000\n62141 93223\n14149 21184\n15941 23863\n5696 8570\n14287 21385\n44001 66082\n48759 73227\n45628 68508\n17434 26152\n89072 100000\n99800 100000\n70347 100000\n61693 92543\n17847 26779\n5325 8005\n41386 62146\n80757 100000\n51224 76866\n43116 64771\n42989 64579\n59409 89154\n6018 9038\n46379 69653\n19537 29327\n58442 87703\n69136 100000\n43130 64792\n44934 67477\n78798 100000\n2267 3399\n54106 81186\n69906 100000\n50845 76309\n4310 6486\n85518 100000\n64634 96951\n81376 100000\n91145 100000\n94056 100000\n27665 41519\n97709 100000\n32743 49159\n40734 61144\n93049 100000\n20256 30395\n11001 16468\n80765 100000\n99272 100000\n11858 17760\n7513 11287\n64013 96021\n98022 100000\n27066 40610\n85857 100000\n93158 100000\n1457 2180\n33031 49590\n40585 60910\n6395 9602\n97602 100000\n79993 100000\n19592 29406\n84132 100000\n31812 47762\n17644 26470\n41344 62078\n54831 82246\n97481 100000\n57791 86695\n36751 55141\n18984 28484\n12233 18315\n18868 28310\n73355 100000\n88540 100000\n41592 62457\n67633 100000\n74881 100000\n85425 100000\n65287 97931\n86055 100000\n63565 95345\n33250 49914\n77293 100000\n88375 100000\n12365 18520\n6342 9527\n12753 19105\n55163 82757\n21023 31546\n52102 78194\n34019 51093\n18184 27282\n79732 100000\n37102 55673\n1060 1583\n44239 66442\n27488 41252\n39622 59466\n90301 100000\n98327 100000\n35856 53817\n98796 100000\n58577 87912\n76519 100000\n13790 20635\n26392 39599\n47419 71220\n50623 75970\n95045 100000\n70911 100000\n9158 13709\n59145 88750\n11999 17981\n13103 19634\n35178 52808\n31135 46755\n60873 91319\n86919 100000\n94539 100000\n98020 100000\n9101 13619\n64848 97270\n40029 60076\n45624 68502\n66904 100000\n12537 18785\n53441 80185\n56262 84407\n2324 3490\n65769 98657\n20582 30899\n77728 100000\n86726 100000\n69212 100000\n13952 20882\n60129 90226\n2290 3436\n29366 44082\n71156 100000\n71212 100000\n28452 42718\n94270 100000\n66845 100000\n72853 100000\n72531 100000\n27593 41412\n43346 65109\n25641 38467\n20063 30098\n81111 100000\n46448 69764\n41350 62087\n85488 100000\n9266 13870\n81113 100000\n77227 100000\n10302 15405\n79204 100000\n71754 100000\n63131 94703\n96542 100000\n28490 42772\n14464 21650\n42262 63463\n43427 65229\n96223 100000\n99584 100000\n65360 98044\n33244 49905\n1666 2496\n59038 88596\n18437 27666\n97385 100000\n18797 28208\n78601 100000\n87167 100000\n49663 74560\n73112 100000\n67563 100000\n18936 28410\n43580 65452\n81562 100000\n4248 6390\n80196 100000\n33867 50857\n40730 61136\n93974 100000\n31544 47357\n43747 65699\n81599 100000\n33456 50219\n30791 46234\n25500 38260\n89105 100000\n32936 49445\n98962 100000\n37046 55595\n51044 76606\n62494 93759\n32073 48155\n83064 100000\n60004 90033\n50782 76217\n91859 100000\n58865 88348\n44133 66280\n74439 100000\n31130 46748\n13246 19848\n10120 15134\n35297 52988\n92151 100000\n9587 14343\n82349 100000\n76409 100000\n54572 81863\n65328 97996\n588 889\n7738 11626\n98571 100000\n29801 44724\n77771 100000\n80739 100000\n29977 44997\n23115 34709\n90681 100000\n77987 100000\n61951 92929\n69218 100000\n19468 29216\n49621 74500\n11339 16974\n24433 36678\n80805 100000\n17936 26918\n29493 44270\n30363 45583\n9006 13478\n8856 13258\n33948 50980\n37510 56293\n92995 100000\n14217 21289\n84898 100000\n56384 84593\n5918 8896\n55645 83486\n71213 100000\n66338 99509\n41003 61550\n90626 100000\n81008 100000\n56345 84536\n98802 100000\n4827 7249\n58336 87543\n41585 62444\n71678 100000\n90233 100000\n72267 100000\n62165 93260\n23863 35814\n96105 100000\n94374 100000\n16155 24189\n9472 14180\n63775 95655\n44660 67058\n9203 13778\n62007 93012\n97791 100000\n66238 99366\n68827 100000\n3316 4988\n50079 75163\n65133 97696\n94773 100000\n84435 100000\n59296 88981\n32007 48055\n24734 37135\n72821 100000\n37781 56701\n62549 93846\n20917 31393\n58593 87936\n79656 100000\n74579 100000\n64375 96564\n53765 80680\n8925 13361\n71851 100000\n71638 100000\n63862 95784\n21725 32618\n14309 21417\n82073 100000\n45256 67954\n38671 58031\n98251 100000\n4185 6299\n68850 100000\n23121 34716\n89161 100000\n81301 100000\n63917 95869\n34616 51964\n98122 100000\n37583 56410\n60541 90829\n37264 55923\n61442 92170\n81492 100000\n20476 30735\n7004 10515\n51256 76918\n32074 48157\n34152 51283\n76031 100000\n18517 27787\n36576 54889\n74837 100000\n87839 100000\n15290 22890\n67571 100000\n41232 61904\n80411 100000\n64694 97042\n46538 69900\n66118 99183\n76807 100000\n7294 10955\n54382 81593\n74083 100000\n1534 2296\n46233 69423\n71163 100000\n56704 85077\n41364 62109\n12700 19027\n11139 16675\n2393 3592\n9584 14339\n21063 31607\n77059 100000\n76342 100000\n55069 82604\n7222 10850\n74972 100000\n60565 90865\n59894 89871\n35405 53146\n53351 80045\n80785 100000\n67119 100000\n25395 38110\n98834 100000\n63466 95194\n58746 88169\n46045 69131\n91628 100000\n73482 100000\n85031 100000\n77492 100000\n70994 100000\n83655 100000\n43765 65726\n67702 100000\n92840 100000\n9890 14794\n51755 77669\n2657 3990\n41202 61860\n44251 66461\n66936 100000\n34649 52018\n77179 100000\n97828 100000\n44130 66275\n47012 70603\n18217 27331\n73409 100000\n27071 40618\n18130 27197\n22748 34152\n23257 34917\n8265 12395\n6793 10200\n5716 8599\n80862 100000\n91518 100000\n36861 55306\n3697 5567\n11102 16621\n38611 57941\n38883 58352\n87228 100000\n56916 85386\n90239 100000\n88 138\n34246 51417\n78192 100000\n95240 100000\n97680 100000\n38762 58174\n57007 85533\n96284 100000\n14102 21109\n13639 20415\n10516 15726\n66316 99475\n7421 11148\n70581 100000\n16252 24333\n71920 100000\n35780 53704\n73294 100000\n84737 100000\n24923 37422\n82355 100000\n44079 66197\n71895 100000\n61157 91739\n38063 57121\n93990 100000\n33876 50871\n58005 87018\n50100 75193\n61117 91682\n79249 100000\n14395 21544\n54767 82151\n56563 84866\n84778 100000\n65249 97871\n16555 24802\n31036 46607\n63179 94771\n52038 78099\n33168 49790\n87729 100000\n80393 100000\n24796 37228\n84401 100000\n57358 86044\n94535 100000\n69757 100000\n70936 100000\n91966 100000\n20102 30157\n3472 5231\n18820 28239\n55662 83511\n43009 64608\n43720 65661\n90690 100000\n8069 12103\n77699 100000\n65472 98213\n13348 20001\n11794 17663\n73653 100000\n55838 83765\n56331 84514\n64667 97001\n47680 71613\n22557 33874\n6831 10254\n89425 100000\n52595 78923\n40425 60669\n81345 100000\n66567 99847\n28651 43016\n64581 96873\n59136 88737\n51789 77726\n85019 100000\n24642 37002\n90255 100000\n10034 15000\n29976 44995\n14274 21367\n73015 100000\n25625 38442\n17717 26584\n59613 89451\n180 276\n94967 100000\n83718 100000\n32378 48613\n2903 4362\n55245 82874\n73086 100000\n48463 72780\n10886 16295\n5562 8367\n36062 54127\n84756 100000\n43241 64957\n24525 36826\n96158 100000\n36564 54872\n5994 9005\n67029 100000\n64316 96478\n40024 60069\n95033 100000\n15663 23458\n47743 71706\n7901 11860\n81774 100000\n39512 59303\n56166 84268\n32114 48219\n9495 14218\n611 923\n6477 9727\n28633 42991\n86040 100000\n98180 100000\n79576 100000\n93517 100000\n8690 13015\n93586 100000\n12490 18710\n58237 87391\n3225 4852\n42874 64403\n35657 53523\n52386 78606\n93626 100000\n36259 54413\n15181 22727\n79015 100000\n9520 14253\n57653 86491\n27188 40794\n12869 19284\n34662 52039\n31360 47085\n63296 94940\n65404 98104\n11101 16620\n16569 24827\n57592 86395\n99881 100000\n52361 78569\n80970 100000\n93327 100000\n81075 100000\n21288 31947\n45897 68913\n91417 100000\n1673 2507\n54294 81468\n9767 14607\n67027 100000\n37421 56158\n65831 98750\n36818 55239\n64921 97382\n1320 1958\n20069 30106\n24818 37264\n14145 21176\n60553 90847\n25749 38625\n75976 100000\n36196 54317\n83763 100000\n55128 82701\n33051 49621\n43567 65430\n79390 100000\n52935 79441\n57528 86301\n83248 100000\n565 853\n46634 70047\n37133 55718\n99944 100000\n15712 23527\n71269 100000\n32174 48303\n11213 16786\n58916 88421\n34384 51628\n743 1117\n74877 100000\n72756 100000\n84558 100000\n96188 100000\n85058 100000\n14549 21778\n31441 47210\n64907 97359\n99351 100000\n38336 57525\n11046 16538\n52302 78477\n32925 49430\n30302 45493\n57799 86708\n35775 53695\n69965 100000\n41898 62922\n75605 100000\n39911 59906\n9048 13542\n59166 88782\n64202 96301\n5040 7573\n10752 16091\n41833 62826\n65245 97863\n80233 100000\n82732 100000\n30380 45608\n35691 53568\n43416 65214\n32302 48500\n38925 58413\n27307 40974\n10171 15208\n51591 77423\n52606 78941\n60922 91391\n36412 54642\n46620 70025\n14239 21319\n56899 85359\n27524 41312\n78539 100000\n37529 56321\n65851 98783\n24894 37376\n46952 70513\n79594 100000\n99297 100000\n13814 20669\n62785 94190\n69179 100000\n18620 27945\n87914 100000\n10553 15780\n4640 6978\n74968 100000\n63603 95403\n19696 29558\n79406 100000\n98501 100000\n17538 26307\n19059 28593\n13890 20787\n56355 84549\n83629 100000\n81182 100000\n64827 97238\n81781 100000\n57043 85591\n53378 80084\n76759 100000\n45835 68816\n77402 100000\n56127 84205\n16708 25034\n93294 100000\n13482 20192\n20753 31142\n28862 43331\n12166 18218\n19944 29926\n11097 16613\n84625 100000\n33186 49815\n23339 35038\n80766 100000\n57543 86323\n91107 100000\n17566 26345\n77542 100000\n23756 35657\n97967 100000\n5497 8271\n62971 94463\n73680 100000\n63870 95798\n79158 100000\n10979 16435\n19826 29754\n4120 6207\n42468 63790\n84703 100000\n81022 100000\n57792 86697\n15355 22996\n30229 45383\n44178 66353\n10701 16013\n39528 59325\n11925 17868\n35196 52838\n46741 70198\n43876 65893\n83470 100000\n55971 83969\n37245 55893\n37904 56889\n30005 45040\n72230 100000\n25917 38866\n37244 55891\n19710 29577\n54793 82189\n30450 45718\n84564 100000\n60013 90048\n88505 100000\n74608 100000\n61378 92071\n85661 100000\n83854 100000\n37091 55660\n47585 71466\n97989 100000\n54061 81120\n27043 40572\n50126 75233\n15554 23295\n11641 17423\n17994 26996\n20400 30616\n83409 100000\n22487 33769\n93180 100000\n67128 100000\n67672 100000\n59324 89021\n12074 18086\n23497 35276\n19162 28753\n61299 91954\n95935 100000\n92363 100000\n43023 64629\n42010 63087\n91181 100000\n9846 14727\n32733 49141\n58934 88445\n41050 61621\n29932 44923\n16947 25402\n4631 6965\n37230 55872\n49055 73668\n33063 49636\n97643 100000\n57204 85822\n3020 4542\n49738 74669\n95046 100000\n94676 100000\n94384 100000\n50654 76017\n25006 37546\n76744 100000\n45255 67952\n10291 15388\n21556 32348\n83190 100000\n17792 26696\n49592 74457\n71502 100000\n99474 100000\n5023 7548\n77190 100000\n27985 42010\n67520 100000\n21701 32582\n42960 64537\n47280 71011\n28198 42336\n47221 70922\n53619 80460\n98688 100000\n18590 27900\n3377 5083\n83010 100000\n21622 32460\n97998 100000\n56329 84512\n98205 100000\n24082 36155\n10130 15149\n14230 21308\n55489 83251\n74589 100000\n34213 51371\n42492 63827\n13196 19773\n61477 92227\n40410 60644\n61785 92678\n8989 13453\n99689 100000\n59756 89672\n41609 62485\n29599 44429\n92599 100000\n39010 58550\n43124 64784\n60288 90451\n93387 100000\n9709 14519\n51302 76981\n32006 48054\n75213 100000\n27241 40879\n9774 14619\n82041 100000\n18021 27034\n11540 17273\n7716 11590\n68354 100000\n49450 74246\n51717 77615\n57330 86000\n65990 98993\n88278 100000\n70748 100000\n82254 100000\n98095 100000\n97808 100000\n66541 99809\n64850 97272\n96700 100000\n13876 20766\n97408 100000\n48679 73110\n11035 16519\n13060 19573\n13545 20288\n49181 73862\n61795 92694\n75838 100000\n39435 59186\n35557 53375\n52883 79365\n33719 50621\n12045 18046\n74858 100000\n29221 43875\n1962 2941\n3834 5770\n10087 15083\n84127 100000\n82613 100000\n96696 100000\n46831 70340\n8500 12738\n87815 100000\n45281 67986\n13572 20326\n51823 77776\n64858 97286\n9760 14597\n15668 23463\n25846 38766\n93082 100000\n45315 68036\n71664 100000\n95085 100000\n91906 100000\n28428 42684\n63602 95401\n35033 52596\n53973 80991\n25836 38753\n42883 64417\n43883 65905\n23969 35979\n40080 60151\n91677 100000\n27887 41860\n24861 37326\n69994 100000\n61207 91814\n24099 36183\n1330 1972\n85248 100000\n10663 15952\n7580 11383\n59235 88887\n56091 84148\n61215 91827\n65387 98082\n20690 31054\n25593 38394\n48525 72874\n91390 100000\n42197 63364\n45368 68118\n46941 70495\n86851 100000\n89891 100000\n9384 14047\n7108 10668\n40613 60952\n60339 90528\n4365 6574\n53977 80997\n69043 100000\n24620 36968\n86913 100000\n82061 100000\n93744 100000\n15935 23853\n55149 82735\n98102 100000\n73696 100000\n49408 74182\n51298 76977\n93528 100000\n67912 100000\n47674 71603\n46602 69997\n1454 2174\n15113 22625\n46453 69771\n7446 11190\n50516 75810\n94022 100000\n79344 100000\n33773 50707\n79956 100000\n69675 100000\n40882 61372\n620 936\n53563 80376\n47678 71609\n67113 100000\n60649 90990\n14157 21193\n72276 100000\n61977 92967\n82267 100000\n21200 31815\n31351 47072\n84090 100000\n258 389\n9878 14778\n9935 14860\n19544 29334\n23984 36005\n82346 100000\n25304 37983\n26834 40264\n7799 11712\n40702 61096\n1378 2054\n33607 50450\n32350 48573\n27642 41483\n90539 100000\n48892 73423\n10012 14968\n66483 99727\n10990 16452\n1558 2329\n32046 48117\n60671 91021\n63933 95894\n68077 100000\n25128 37723\n9436 14129\n91172 100000\n13536 20275\n70394 100000\n18947 28426\n92422 100000\n97285 100000\n54461 81706\n27039 40566\n10543 15763\n93692 100000\n14884 22279\n30570 45903\n78240 100000\n83390 100000\n69755 100000\n31467 47249\n6357 9546\n45758 68703\n24331 36521\n42605 63994\n71629 100000\n90572 100000\n70449 100000\n33303 49994\n64762 97143\n80889 100000\n80740 100000\n35724 53616\n76954 100000\n54903 82352\n19668 29517\n83490 100000\n48974 73547\n87005 100000\n22850 34303\n81576 100000\n63832 95738\n73864 100000\n49903 74913\n29794 44714\n32711 49106\n67198 100000\n83616 100000\n59191 88819\n86030 100000\n34910 52416\n57113 85687\n77605 100000\n11338 16973\n40856 61332\n16699 25023\n94574 100000\n42833 64343\n33432 50183\n21700 32580\n41157 61791\n89181 100000\n36535 54829\n31033 46603\n35248 52917\n27197 40810\n14641 21915\n71364 100000\n85218 100000\n92726 100000\n61658 92493\n83654 100000\n71686 100000\n23161 34777\n24330 36519\n63604 95404\n29548 44354\n80141 100000\n47246 70963\n26030 39044\n70275 100000\n80506 100000\n69285 100000\n61064 91600\n46227 69415\n94869 100000\n47664 71587\n90602 100000\n90519 100000\n21315 31991\n46319 69554\n38325 57508\n96849 100000\n39683 59558\n56882 85333\n26512 39775\n16585 24852\n77751 100000\n25314 37996\n76955 100000\n3694 5562\n57058 85611\n14720 22030\n77724 100000\n9833 14708\n13417 20101\n22139 33256\n10567 15802\n56475 84734\n93634 100000\n20551 30852\n2030 3041\n79826 100000\n52114 78210\n21557 32350\n5396 8111\n73763 100000\n80833 100000\n10509 15714\n64160 96241\n31848 47816\n25746 38621\n3188 4795\n3711 5588\n79550 100000\n19013 28525\n20437 30675\n51007 76546\n4664 7013\n88970 100000\n93264 100000\n70104 100000\n76447 100000\n86795 100000\n89306 100000\n93067 100000\n39088 58665\n1075 1605\n59604 89438\n88445 100000\n38832 58277\n8860 13264\n18693 28053\n78309 100000\n74450 100000\n76938 100000\n41235 61909\n43740 65689\n93967 100000\n69725 100000\n31318 47020\n77902 100000\n61633 92457\n85256 100000\n69369 100000\n86254 100000\n15473 23181\n31519 47319\n69263 100000\n80488 100000\n17225 25833\n95231 100000\n15066 22554\n12283 18392\n3680 5538\n99501 100000\n75918 100000\n21637 32485\n840 1266\n82102 100000\n47157 70829\n2893 4348\n47692 71631\n81919 100000\n8565 12831\n14875 22266\n33609 50452\n49709 74628\n51596 77430\n30023 45068\n11580 17330\n63117 94682\n90376 100000\n77048 100000\n70568 100000\n11530 17257\n41147 61776\n40573 60892\n19937 29916\n96568 100000\n92737 100000\n80951 100000\n11363 17009\n1113 1658\n40733 61142\n41570 62422\n90889 100000\n80610 100000\n59780 89708\n230 348\n25748 38624\n94305 100000\n99775 100000\n87441 100000\n34575 51906\n87967 100000\n21669 32535\n13940 20864\n66994 100000\n27290 40948\n78396 100000\n91591 100000\n1810 2716\n15785 23637\n71382 100000\n63200 94801\n89921 100000\n21132 31713\n41511 62333\n59837 89790\n8420 12620\n92492 100000\n10092 15092\n21250 31886\n488 736\n63115 94679\n76314 100000\n49807 74774\n76703 100000\n65349 98028\n2463 3696\n87803 100000\n23197 34828\n43757 65714\n95022 100000\n22510 33803\n79951 100000\n18775 28175\n78133 100000\n97738 100000\n68019 100000\n31162 46794\n62932 94408\n93708 100000\n41325 62047\n75514 100000\n89218 100000\n62382 93587\n37473 56239\n57878 86832\n73231 100000\n17206 25806\n5315 7989\n32739 49152\n81659 100000\n17181 25768\n76226 100000\n24086 36162\n40200 60326\n12722 19058\n60864 91305\n17539 26309\n19358 29044\n10723 16045\n33319 50019\n80415 100000\n53182 79803\n11992 17971\n9688 14488\n17031 25529\n96358 100000\n63462 95186\n93486 100000\n52189 78316\n48141 72293\n32168 48296\n52796 79236\n85881 100000\n84830 100000\n39953 59964\n54130 81223\n55690 83549\n2962 4459\n35030 52591\n49792 74751\n16854 25257\n71371 100000\n46343 69592\n13515 20241\n34586 51922\n65781 98676\n3158 4747\n4453 6698\n92870 100000\n18869 28311\n64886 97328\n48568 72942\n79564 100000\n88236 100000\n56633 84975\n35251 52922\n1570 2349\n10392 15536\n4586 6898\n32405 48654\n8505 12744\n7438 11176\n28259 42430\n35659 53525\n90801 100000\n50306 75504\n78079 100000\n21569 32371\n60774 91175\n34765 52196\n48031 72138\n50181 75318\n63636 95449\n33501 50292\n26968 40462\n67819 100000\n27275 40924\n59823 89769\n8777 13143\n16595 24867\n84631 100000\n6508 9775\n26473 39718\n26993 40497\n86712 100000\n87977 100000\n35596 53437\n20670 31025\n99079 100000\n42112 63240\n30615 45970\n47759 71726\n75039 100000\n19005 28514\n60046 90102\n1510 2261\n12752 19103\n62437 93673\n65971 98966\n14127 21149\n54554 81838\n91716 100000\n10666 15956\n68738 100000\n44369 66637\n39315 59003\n16866 25274\n90495 100000\n35798 53732\n19408 29121\n7035 10564\n12356 18505\n51389 77114\n36327 54517\n76325 100000\n39668 59535\n82575 100000\n87342 100000\n48942 73503\n84580 100000\n61170 91761\n18344 27523\n61219 91834\n91636 100000\n3002 4517\n77409 100000\n67870 100000\n61858 92794\n12851 19256\n39260 58923\n23959 35964\n10793 16154\n60557 90853\n87718 100000\n66088 99136\n18387 27591\n57317 85981\n58239 87393\n28707 43094\n94061 100000\n48723 73178\n16453 24639\n12891 19319\n99133 100000\n78122 100000\n41466 62265\n80786 100000\n12243 18331\n9786 14638\n31046 46623\n34711 52115\n61056 91585\n70477 100000\n44126 66270\n9666 14452\n24197 36325\n78625 100000\n33016 49564\n53141 79745\n71239 100000\n20954 31447\n22874 34337\n30408 45654\n51549 77355\n14027 20999\n78419 100000\n53884 80853\n46017 69092\n18666 28013\n95890 100000\n15957 23887\n35524 53324\n39983 60004\n18429 27654\n98177 100000\n71990 100000\n26805 40217\n10620 15884\n14238 21317\n20204 30316\n21623 32462\n42405 63696\n57784 86684\n70311 100000\n24220 36357\n21456 32202\n14982 22430\n25491 38245\n84432 100000\n52785 79222\n26828 40254\n7599 11410\n16807 25185\n73029 100000\n77380 100000\n71967 100000\n96560 100000\n73847 100000\n9514 14244\n33507 50302\n53097 79678\n81710 100000\n3514 5292\n930 1397\n98785 100000\n79700 100000\n46198 69366\n21688 32563\n21033 31564\n24323 36509\n47409 71205\n95443 100000\n13148 19698\n57389 86090\n92460 100000\n97153 100000\n49958 74985\n80087 100000\n97979 100000\n30571 45904\n38261 57411\n60625 90956\n35743 53645\n25282 37954\n42521 63869\n26661 39996\n34631 51989\n12754 19107\n82155 100000\n35693 53570\n8635 12930\n9382 14044\n48709 73157\n45929 68961\n26715 40083\n96629 100000\n81041 100000\n5169 7764\n74904 100000\n26637 39961\n71503 100000\n58401 87642\n25166 37781\n82749 100000\n20927 31407\n9961 14897\n88711 100000\n49029 73632\n94807 100000\n92998 100000\n68368 100000\n80544 100000\n19117 28684\n92217 100000\n2681 4023\n86714 100000\n12886 19311\n19832 29762\n29078 43656\n9768 14609\n98474 100000\n28889 43372\n23954 35955\n62555 93854\n87237 100000\n74104 100000\n65015 97521\n55642 83482\n36506 54786\n45503 68323\n32859 49328\n35552 53368\n62293 93454\n9307 13934\n29570 44387\n65275 97913\n40431 60679\n49460 74260\n46878 70406\n86469 100000\n85068 100000\n69841 100000\n86748 100000\n87012 100000\n69633 100000\n40648 61005\n77946 100000\n26327 39502\n95902 100000\n72108 100000\n36448 54699\n93777 100000\n9300 13923\n45336 68068\n34913 52419\n69119 100000\n22215 33367\n7557 11352\n77106 100000\n1065 1592\n54693 82037\n4964 7461\n75626 100000\n82372 100000\n96512 100000\n7288 10944\n95340 100000\n62189 93296\n67280 100000\n25562 38348\n80108 100000\n65850 98781\n48032 72139\n34057 51154\n63490 95231\n26842 40277\n24521 36821\n32446 48719\n42846 64363\n50264 75442\n55047 82568\n46594 69984\n44358 66621\n23963 35970\n95367 100000\n36189 54308\n36407 54636\n42604 63993\n40047 60103\n32655 49026\n61619 92435\n95498 100000\n33012 49559\n94578 100000\n73597 100000\n87344 100000\n80659 100000\n46084 69193\n24467 36735\n53732 80628\n83746 100000\n71480 100000\n29276 43950\n42313 63547\n63075 94618\n36136 54232\n48176 72347\n91798 100000\n73052 100000\n29128 43735\n17059 25570\n48194 72372\n95521 100000\n85 132\n65310 97971\n43230 64940\n52390 78614\n87092 100000\n33919 50937\n48118 72260\n32643 49010\n63986 95977\n42104 63227\n14633 21902\n38985 58511\n7570 11367\n56058 84104\n94556 100000\n80830 100000\n45736 68670\n20336 30517\n73621 100000\n31289 46974\n67312 100000\n47574 71452\n71508 100000\n16978 25451\n79952 100000\n19628 29457\n91669 100000\n88138 100000\n70364 100000\n66156 99240\n77267 100000\n39862 59830\n91166 100000\n51611 77450\n18563 27861\n35610 53459\n97853 100000\n5771 8677\n59291 88973\n70479 100000\n98383 100000\n34574 51905\n49514 74344\n16118 24137\n79471 100000\n82630 100000\n29039 43602\n31903 47897\n89822 100000\n56939 85424\n73697 100000\n54860 82290\n90740 100000\n97554 100000\n91956 100000\n55487 83247\n69647 100000\n64515 96780\n75594 100000\n94700 100000\n87850 100000\n52648 79008\n81359 100000\n19086 28634\n38007 57044\n89530 100000\n55573 83378\n97122 100000\n40616 60957\n43728 65671\n96088 100000\n12226 18304\n49157 73828\n68253 100000\n24752 37167\n68134 100000\n57659 86500\n10575 15816\n15664 23459\n92418 100000\n83252 100000\n25441 38175\n69094 100000\n56771 85170\n57991 86998\n79441 100000\n23305 34987\n9397 14067\n82516 100000\n93954 100000\n32472 48757\n95207 100000\n16972 25442\n2190 3282\n1716 2575\n95810 100000\n68603 100000\n26641 39966\n67420 100000\n98853 100000\n98852 100000\n1781 2674\n96713 100000\n29836 44778\n61772 92660\n52605 78939\n70659 100000\n62432 93666\n93286 100000\n88694 100000\n47138 70796\n81744 100000\n40304 60483\n55806 83719\n76830 100000\n561 847\n19294 28945\n69942 100000\n93607 100000\n90775 100000\n69557 100000\n66158 99243\n8345 12510\n107 162\n35930 53930\n28335 42542\n68358 100000\n59937 89941\n51399 77128\n8350 12516\n31559 47380\n64252 96374\n27480 41240\n83822 100000\n56684 85048\n55901 83863\n34044 51132\n86002 100000\n67868 100000\n17286 25930\n79724 100000\n37451 56203\n30153 45267\n65621 98436\n17122 25667\n56168 84272\n56923 85396\n34928 52439\n34515 51817\n46485 69821\n23359 35069\n81399 100000\n62559 93860\n49393 74158\n96456 100000\n58506 87802\n45466 68267\n89204 100000\n17113 25651\n67045 100000\n62204 93318\n36127 54220\n51723 77623\n29227 43883\n23273 34940\n97125 100000\n93455 100000\n70944 100000\n59995 90021\n66659 99976\n43748 65701\n57326 85995\n93785 100000\n1865 2799\n10062 15043\n45541 68379\n32982 49514\n56160 84258\n43014 64618\n78036 100000\n90939 100000\n86939 100000\n76470 100000\n58271 87442\n36266 54424\n99950 100000\n20360 30553\n30542 45862\n71846 100000\n7515 11290\n94974 100000\n81823 100000\n52110 78205\n32272 48456\n23665 35521\n99411 100000\n55218 82838\n42504 63846\n86947 100000\n94299 100000\n96333 100000\n61446 92176\n82775 100000\n35002 52549\n61613 92428\n6905 10369\n7921 11886\n39857 59821\n47463 71288\n12377 18539\n25589 38390\n92084 100000\n49219 73915\n53970 80986\n48331 72576\n95417 100000\n23702 35576\n86688 100000\n54783 82174\n76636 100000\n69069 100000\n38318 57497\n27521 41308\n70290 100000\n7828 11754\n34548 51865\n16551 24796\n6417 9639\n70533 100000\n35355 53077\n12419 18605\n63424 95129\n22955 34462\n66247 99378\n23441 35191\n54445 81682\n49747 74682\n12267 18368\n90912 100000\n1628 2435\n76124 100000\n30674 46063\n28995 43534\n29763 44670\n57027 85566\n12695 19020\n45836 68818\n84813 100000\n5689 8560\n87746 100000\n17176 25759\n41343 62077\n84678 100000\n79927 100000\n53110 79698\n83819 100000\n90167 100000\n36871 55321\n76125 100000\n63005 94514\n33615 50461\n12309 18432\n41673 62578\n2230 3345\n14449 21628\n99893 100000\n69374 100000\n95117 100000\n1496 2240\n41807 62785\n5364 8060\n5925 8905\n97942 100000\n44892 67411\n97722 100000\n90885 100000\n37258 55913\n62132 93209\n506 763\n89673 100000\n8723 13062\n37623 56470\n16345 24474\n32646 49013\n88251 100000\n61730 92598\n1787 2683\n13155 19709\n75220 100000\n82039 100000\n45994 69057\n32260 48439\n84427 100000\n58579 87914\n10645 15922\n45030 67624\n25368 38070\n38246 57389\n32369 48601\n85496 100000\n77316 100000\n54954 82430\n14499 21702\n11755 17602\n30965 46500\n43061 64684\n13131 19674\n38408 57630\n99481 100000\n45045 67646\n27952 41960\n3049 4585\n30589 45932\n175 269\n76890 100000\n73059 100000\n11690 17504\n76036 100000\n27264 40908\n1759 2637\n35457 53226\n58356 87572\n18048 27076\n8138 12203\n21324 32003\n99250 100000\n51933 77934\n10825 16201\n16685 25002\n58052 87092\n37059 55614\n94754 100000\n65858 98795\n39977 59997\n18411 27631\n2160 3238\n43225 64933\n68278 100000\n89247 100000\n27106 40675\n63553 95328\n38691 58064\n85869 100000\n10405 15555\n50983 76514\n89450 100000\n11985 17959\n59721 89616\n51726 77628\n23193 34822\n23069 34640\n12249 18339\n19096 28651\n7161 10749\n55656 83502\n56020 84043\n75534 100000\n27176 40776\n66942 100000\n34563 51887\n25361 38059\n28932 43439\n29661 44519\n91004 100000\n50610 75951\n75922 100000\n10317 15425\n23385 35105\n61876 92819\n33085 49665\n51481 77252\n85178 100000\n53873 80837\n20367 30563\n22403 33636\n69258 100000\n19836 29767\n50588 75918\n71186 100000\n92013 100000\n18466 27713\n46417 69715\n57101 85671\n14950 22378\n57743 86619\n86812 100000\n60574 90878\n61174 91768\n43993 66071\n94707 100000\n47870 71893\n6693 10049\n93443 100000\n91283 100000\n72380 100000\n96548 100000\n50323 75532\n64061 96096\n63145 94725\n5454 8203\n87917 100000\n38576 57889\n69637 100000\n32109 48210\n20488 30756\n31824 47776\n92442 100000\n41777 62742\n62468 93718\n5947 8937\n85444 100000\n2065 3091\n61722 92586\n64685 97028\n41382 62138\n85217 100000\n77533 100000\n3988 6013\n46089 69199\n74640 100000\n20913 31388\n45584 68440\n80471 100000\n92145 100000\n86097 100000\n31175 46812\n75913 100000\n17228 25836\n97941 100000\n20003 30006\n64480 96736\n82736 100000\n38865 58326\n73175 100000\n9773 14617\n66761 100000\n73884 100000\n35944 53951\n67218 100000\n48439 72742\n1553 2321\n74401 100000\n40836 61299\n12430 18623\n21207 31825\n33803 50754\n17415 26121\n41627 62511\n10282 15372\n54129 81222\n46530 69888\n57414 86126\n29806 44731\n88533 100000\n63709 95561\n53525 80319\n5965 8964\n80143 100000\n62333 93512\n4720 7097\n10805 16171\n28845 43304\n29774 44684\n31475 47262\n35951 53960\n82173 100000\n90036 100000\n94175 100000\n10109 15116\n26581 39880\n91307 100000\n64196 96292\n11478 17177\n70620 100000\n15444 23133\n69500 100000\n16885 25308\n42151 63301\n53833 80783\n24235 36377\n24074 36143\n34715 52122\n60347 90540\n22991 34519\n32363 48593\n47891 71929\n98308 100000\n21160 31753\n3094 4652\n4785 7191\n82127 100000\n2870 4310\n60647 90987\n85375 100000\n9288 13905\n2408 3615\n74153 100000\n66061 99095\n12666 18978\n32083 48172\n93824 100000\n44806 67274\n58004 87016\n69016 100000\n56580 84889\n34950 52472\n32933 49441\n30716 46124\n62598 93918\n887 1334\n12648 18954\n13175 19741\n81974 100000\n86264 100000\n628 949\n23673 35530\n40669 61040\n95383 100000\n64076 96118\n64825 97234\n14637 21908\n21944 32960\n40796 61238\n50848 76312\n22822 34261\n25690 38536\n42949 64518\n4175 6284\n69416 100000\n75045 100000\n53837 80787\n72772 100000\n28286 42472\n29182 43815\n29728 44619\n59308 88998\n92379 100000\n78166 100000\n26080 39119\n23872 35828\n94507 100000\n99558 100000\n93572 100000\n85886 100000\n58421 87671\n51714 77611\n90832 100000\n50592 75923\n92516 100000\n20509 30790\n44992 67569\n919 1382\n12536 18783\n5372 8073\n13749 20576\n34567 51894\n41334 62062\n55641 83481\n91272 100000\n54776 82163\n62582 93896\n59434 89190\n14291 21391\n44391 66670\n65733 98606\n57455 86188\n58599 87945\n97694 100000\n93946 100000\n41461 62257\n18412 27632\n46686 70121\n3511 5286\n80308 100000\n93042 100000\n66716 100000\n90880 100000\n27461 41210\n14751 22081\n5988 8996\n35193 52833\n9157 13707\n12560 18822\n19582 29390\n14414 21574\n57706 86568\n3191 4800\n63660 95485\n45546 68385\n58464 87742\n89880 100000\n80077 100000\n44935 67479\n97552 100000\n81648 100000\n93879 100000\n35667 53538\n26134 39194\n86933 100000\n96579 100000\n5140 7721\n69835 100000\n56454 84705\n63417 95120\n2350 3530\n22367 33585\n30705 46108\n26017 39024\n28699 43084\n44669 67070\n81481 100000\n13507 20231\n80301 100000\n67627 100000\n42907 64449\n35875 53847\n52300 78475\n79435 100000\n57585 86386\n2121 3178\n93599 100000\n37104 55676\n64962 97446\n11822 17707\n21024 31548\n20347 30532\n19555 29350\n54356 81557\n46833 70344\n28006 42040\n88216 100000\n56894 85351\n71104 100000\n44630 67016\n49504 74332\n72963 100000\n49741 74673\n93445 100000\n5930 8913\n4773 7177\n20282 30437\n73232 100000\n31141 46764\n52320 78507\n54145 81246\n56798 85208\n17741 26617\n59011 88556\n53087 79664\n53771 80689\n75406 100000\n46189 69351\n790 1186\n19373 29065\n19831 29761\n70814 100000\n44697 67110\n55343 83022\n14410 21566\n94192 100000\n13094 19620\n75994 100000\n13327 19971\n58404 87647\n9185 13751\n56908 85375\n87051 100000\n64691 97039\n47374 71154\n28255 42423\n47218 70917\n98457 100000\n9958 14894\n43801 65780\n94126 100000\n57472 86214\n66261 99398\n80881 100000\n57534 86308\n75724 100000\n2851 4278\n10492 15690\n78034 100000\n74485 100000\n68676 100000\n8290 12435\n25068 37633\n5936 8920\n42803 64300\n62037 93062\n75025 100000\n96735 100000\n59861 89821\n33752 50677\n51800 77742\n43705 65637\n61132 91702\n30208 45351\n37016 55551\n31378 47110\n58256 87419\n61975 92963\n61221 91836\n47481 71315\n79194 100000\n80088 100000\n11952 17912\n37984 57010\n43355 65125\n79246 100000\n73193 100000\n64566 96852\n66022 99038\n82971 100000\n5016 7539\n99479 100000\n58077 87135\n79157 100000\n25928 38885\n11220 16794\n20218 30339\n57198 85812\n62742 94126\n46325 69563\n68281 100000\n79026 100000\n24464 36731\n49823 74797\n39317 59007\n61742 92617\n42063 63165\n86360 100000\n92812 100000\n59622 89464\n27523 41311\n83507 100000\n6037 9065\n56913 85381\n721 1087\n59913 89900\n74756 100000\n24288 36452\n92972 100000\n95111 100000\n36915 55394\n37414 56148\n56535 84826\n76136 100000\n22885 34354\n36175 54288\n89724 100000\n27013 40527\n89773 100000\n10709 16026\n85631 100000\n18785 28191\n72519 100000\n71902 100000\n64556 96837\n76923 100000\n98664 100000\n22041 33108\n92107 100000\n21521 32299\n33745 50667\n60713 91082\n11107 16626\n88076 100000\n30805 46255\n92768 100000\n25504 38265\n48598 72990\n88744 100000\n92252 100000\n25124 37716\n72864 100000\n81180 100000\n90737 100000\n606 916\n53362 80060\n53905 80888\n13071 19588\n84092 100000\n90478 100000\n71951 100000\n27644 41487\n55014 82517\n54338 81535\n43290 65028\n28648 43011\n1577 2361\n61027 91544\n53078 79649\n43359 65130\n62369 93569\n47148 70813\n14332 21454\n12241 18327\n96143 100000\n34055 51150\n61744 92621\n90148 100000\n51482 77253\n32470 48755\n99108 100000\n33184 49812\n11012 16485\n73391 100000\n25546 38325\n27065 40609\n5847 8792\n74203 100000\n98423 100000\n56301 84463\n96659 100000\n62722 94100\n28112 42204\n2154 3228\n18395 27605\n46153 69295\n41426 62205\n74706 100000\n88605 100000\n29791 44710\n15342 22975\n44919 67452\n57296 85949\n34248 51420\n64368 96553\n12445 18644\n84015 100000\n39506 59294\n86476 100000\n81423 100000\n44638 67027\n81711 100000\n34781 52221\n38075 57141\n31771 47697\n37407 56137\n26491 39746\n52402 78632\n48835 73338\n45667 68563\n21137 31720\n21220 31846\n89971 100000\n38697 58072\n51918 77913\n87491 100000\n74223 100000\n48797 73284\n18377 27576\n26015 39020\n96471 100000\n12675 18990\n21431 32166\n78533 100000\n19713 29581\n78517 100000\n56658 85011\n94926 100000\n41866 62876\n10337 15455\n36682 55043\n72430 100000\n12401 18577\n6461 9702\n47429 71236\n169 258\n3235 4866\n49878 74879\n99340 100000\n27500 41276\n38065 57125\n11590 17346\n85963 100000\n26364 39557\n32447 48721\n5048 7583\n4135 6228\n70577 100000\n92752 100000\n47836 71844\n28731 43130\n92436 100000\n31698 47577\n4979 7483\n52632 78981\n66385 99584\n59774 89700\n52920 79419\n14199 21263\n93844 100000\n59668 89537\n7460 11209\n72426 100000\n76490 100000\n96793 100000\n1863 2797\n10480 15669\n96313 100000\n95674 100000\n56493 84762\n10095 15096\n39082 58656\n74889 100000\n13541 20282\n51840 77798\n45853 68846\n36854 55296\n94085 100000\n60603 90924\n93695 100000\n30558 45884\n11324 16952\n7293 10953\n7255 10894\n35921 53915\n79963 100000\n60074 90142\n73718 100000\n53043 79596\n14663 21948\n9889 14793\n39445 59202\n92027 100000\n34079 51186\n35830 53780\n82943 100000\n3883 5849\n46392 69675\n71482 100000\n27196 40808\n44548 66898\n29463 44226\n58141 87239\n25349 38042\n76018 100000\n56089 84146\n37406 56136\n11023 16503\n77694 100000\n12338 18479\n25317 37999\n13344 19994\n10301 15403\n62480 93736\n73865 100000\n36721 55097\n26987 40487\n44922 67456\n35546 53357\n1376 2052\n65767 98654\n29668 44529\n66514 99766\n22176 33309\n98748 100000\n10334 15452\n69710 100000\n76609 100000\n27690 41559\n11335 16968\n34040 51126\n17938 26921\n17305 25957\n51597 77431\n64009 96015\n91536 100000\n49874 74874\n88621 100000\n80608 100000\n60474 90731\n50541 75847\n79422 100000\n88114 100000\n71975 100000\n65324 97990\n44237 66438\n75881 100000\n26088 39129\n24004 36038\n3778 5685\n10419 15578\n65390 98085\n22065 33143\n66213 99330\n23856 35805\n50042 75107\n31618 47471\n46488 69825\n43213 64914\n16403 24557\n49713 74633\n2369 3557\n63878 95808\n66838 100000\n87069 100000\n6277 9429\n18754 28145\n37231 55873\n52516 78809\n98382 100000\n15567 23317\n74906 100000\n62124 93194\n61441 92169\n35245 52913\n18046 27074\n93733 100000\n58689 88086\n79483 100000\n97947 100000\n82140 100000\n9369 14026\n99934 100000\n62880 94334\n85009 100000\n46445 69759\n83161 100000\n56002 84015\n50023 75080\n33295 49983\n29631 44477\n35412 53157\n26835 40266\n68193 100000\n95644 100000\n44410 66698\n50360 75586\n87853 100000\n91484 100000\n40203 60331\n15507 23229\n76992 100000\n69502 100000\n49945 74967\n90782 100000\n28479 42756\n85258 100000\n48386 72661\n13490 20206\n52141 78251\n3833 5768\n23962 35968\n80818 100000\n25971 38951\n38146 57250\n60705 91071\n16112 24129\n35729 53623\n11832 17722\n79734 100000\n78285 100000\n60526 90809\n70193 100000\n44859 67361\n94962 100000\n4440 6683\n22159 33285\n54459 81703\n69627 100000\n3547 5338\n55145 82727\n32164 48289\n17544 26315\n21685 32557\n34652 52023\n12184 18247\n74824 100000\n67918 100000\n74404 100000\n6294 9459\n4001 6034\n80903 100000\n41340 62073\n71130 100000\n98790 100000\n72521 100000\n6907 10373\n23879 35839\n87784 100000\n91686 100000\n33435 50188\n28534 42840\n33750 50675\n11797 17668\n70640 100000\n53803 80734\n88486 100000\n59022 88573\n16608 24890\n48027 72131\n9763 14603\n15198 22753\n94438 100000\n36048 54105\n11875 17790\n76001 100000\n55251 82884\n37504 56284\n21770 32690\n44020 66109\n90919 100000\n63778 95659\n30159 45274\n20065 30101\n97283 100000\n31841 47804\n90826 100000\n62651 93994\n49096 73732\n12964 19424\n92763 100000\n97296 100000\n41919 62952\n57637 86465\n12932 19379\n2232 3347\n86424 100000\n22974 34491\n11398 17057\n18269 27410\n62644 93981\n27371 41071\n7802 11716\n33946 50977\n66807 100000\n1321 1959\n92016 100000\n14862 22248\n88111 100000\n94430 100000\n65149 97723\n85606 100000\n34602 51944\n44772 67222\n57841 86776\n82974 100000\n52245 78397\n79629 100000\n43087 64727\n47427 71233\n66448 99677\n13205 19785\n10682 15982\n11230 16810\n20726 31103\n51071 76645\n84328 100000\n44113 66252\n7088 10641\n17077 25599\n26263 39400\n50436 75694\n71048 100000\n48041 72152\n46671 70101\n64687 97031\n52321 78509\n77654 100000\n80312 100000\n61337 92012\n71398 100000\n69139 100000\n10127 15145\n6934 10412\n30304 45496\n26631 39953\n65064 97595\n33775 50709\n51065 76636\n94562 100000\n90902 100000\n61472 92219\n1434 2143\n40875 61361\n32474 48760\n33270 49946\n15896 23798\n76542 100000\n45131 67769\n91124 100000\n13283 19905\n13581 20337\n74134 100000\n584 882\n56133 84214\n75867 100000\n42707 64147\n37303 55981\n57750 86629\n26644 39970\n73144 100000\n53128 79724\n16247 24326\n55206 82821\n6142 9231\n60504 90776\n12715 19047\n6725 10096\n87141 100000\n28718 43109\n20575 30887\n20453 30702\n47331 71086\n23835 35774\n72683 100000\n35506 53298\n58908 88411\n55174 82775\n26959 40451\n70589 100000\n73682 100000\n3764 5665\n14556 21789\n50029 75089\n15722 23539\n52269 78432\n35891 53871\n90994 100000\n88024 100000\n53049 79605\n83123 100000\n97215 100000\n10851 16244\n95193 100000\n97032 100000\n63646 95464\n45205 67875\n43933 65979\n60073 90141\n99967 100000\n89076 100000\n60606 90929\n83193 100000\n14005 20961\n31805 47751\n43154 64828\n81516 100000\n6720 10089\n17731 26604\n72664 100000\n23114 34707\n89260 100000\n89739 100000\n98656 100000\n39795 59724\n39794 59723\n18473 27723\n19704 29568\n41247 61924\n52011 78058\n47307 71053\n85438 100000\n86004 100000\n78620 100000\n74272 100000\n56785 85188\n55039 82557\n87177 100000\n5526 8313\n66268 99407\n7879 11830\n93951 100000\n70641 100000\n58380 87610\n39110 58696\n33663 50536\n84612 100000\n60650 90991\n76887 100000\n94955 100000\n59916 89906\n36384 54602\n13929 20845\n34146 51277\n6402 9615\n12969 19432\n68490 100000\n93556 100000\n55455 83197\n13364 20028\n43122 64782\n83959 100000\n5591 8415\n24694 37080\n83236 100000\n19992 29989\n27388 41097\n10336 15454\n13372 20039\n68075 100000\n73046 100000\n62917 94383\n70130 100000\n96386 100000\n16421 24588\n85981 100000\n25043 37598\n55632 83466\n60398 90623\n84711 100000\n2561 3844\n90141 100000\n49235 73938\n36466 54722\n5401 8119\n85172 100000\n10778 16135\n6268 9414\n88008 100000\n17357 26037\n51557 77366\n35745 53649\n87708 100000\n46389 69670\n41788 62759\n32714 49111\n24400 36630\n40655 61017\n77315 100000\n7199 10811\n14065 21048\n21384 32093\n5649 8499\n63710 95563\n98739 100000\n59986 90007\n72191 100000\n30197 45334\n14829 22200\n2389 3587\n30840 46309\n30930 46445\n17127 25677\n77487 100000\n9867 14758\n24487 36770\n28383 42615\n18739 28124\n55664 83513\n28975 43503\n43625 65515\n98304 100000\n70681 100000\n54227 81369\n44833 67318\n34249 51422\n42586 63963\n2136 3199\n46069 69169\n37430 56173\n21003 31517\n7136 10708\n61567 92365\n18158 27244\n58822 88278\n78305 100000\n40262 60421\n8790 13161\n14466 21653\n96715 100000\n97801 100000\n21435 32172\n1038 1551\n47643 71556\n72686 100000\n2151 3223\n16898 25325\n17444 26168\n75122 100000\n22964 34477\n47707 71652\n15654 23443\n53232 79871\n90025 100000\n1361 2028\n77907 100000\n11138 16673\n62653 93997\n50423 75674\n43053 64675\n21294 31957\n42513 63857\n43057 64680\n12727 19066\n16562 24814\n3817 5745\n96298 100000\n49256 73970\n23228 34873\n11163 16710\n10473 15659\n52602 78935\n53089 79667\n12250 18340\n56701 85071\n82707 100000\n87033 100000\n89006 100000\n56805 85220\n95818 100000\n73748 100000\n23324 35020\n1403 2096\n73567 100000\n58784 88223\n84257 100000\n61542 92324\n99216 100000\n16318 24437\n84541 100000\n62600 93922\n20926 31405\n96451 100000\n57301 85956\n45519 68349\n2211 3316\n9663 14448\n21842 32805\n83857 100000\n99043 100000\n94209 100000\n38240 57381\n71876 100000\n80959 100000\n88159 100000\n72272 100000\n92284 100000\n4764 7163\n14002 20957\n31792 47730\n99120 100000\n14130 21154\n94498 100000\n91775 100000\n59006 88549\n70896 100000\n88492 100000\n10971 16422\n36066 54133\n86822 100000\n40266 60427\n62564 93869\n51383 77103\n66191 99299\n5978 8981\n57520 86286\n59928 89925\n12758 19112\n75911 100000\n12310 18434\n79683 100000\n26055 39083\n26430 39656\n11248 16838\n9200 13774\n12024 18018\n93297 100000\n62845 94283\n24777 37203\n87597 100000\n3075 4623\n36940 55434\n44706 67122\n93512 100000\n53814 80751\n96338 100000\n40149 60254\n30489 45779\n46911 70452\n59318 89012\n75846 100000\n67530 100000\n25335 38026\n46352 69608\n6497 9758\n19948 29931\n22076 33159\n27729 41617\n89090 100000\n10982 16438\n38868 58330\n87403 100000\n94825 100000\n89119 100000\n25240 37895\n5736 8627\n93855 100000\n11648 17435\n296 448\n94157 100000\n17008 25494\n75274 100000\n70684 100000\n70263 100000\n23010 34547\n40414 60650\n96977 100000\n21576 32382\n44521 66857\n9180 13743\n1514 2267\n53417 80149\n1934 2899\n50527 75825\n34669 52050\n24668 37043\n97393 100000\n66211 99326\n49232 73933\n88603 100000\n50312 75514\n40962 61484\n73315 100000\n14052 21032\n46308 69536\n61166 91754\n78931 100000\n80568 100000\n50068 75146\n98483 100000\n6928 10402\n59133 88733\n74363 100000\n21711 32596\n8178 12266\n82511 100000\n80857 100000\n31597 47441\n47318 71068\n54706 82057\n51367 77081\n67658 100000\n81200 100000\n93521 100000\n33116 49712\n30910 46418\n96241 100000\n15009 22471\n43914 65951\n82062 100000\n48017 72115\n31665 47533\n50460 75729\n40806 61252\n66358 99541\n22249 33423\n62647 93986\n82215 100000\n79743 100000\n58061 87109\n53613 80453\n75762 100000\n67513 100000\n29860 44818\n25669 38508\n92428 100000\n68305 100000\n47564 71436\n47330 71084\n95490 100000\n84459 100000\n83458 100000\n95227 100000\n71709 100000\n44991 67567\n83948 100000\n24278 36435\n11083 16592\n53421 80156\n85203 100000\n64922 97383\n3850 5797\n94088 100000\n79434 100000\n14198 21261\n97258 100000\n37095 55665\n60988 91487\n96964 100000\n39709 59598\n12411 18592\n50926 76427\n75415 100000\n67383 100000\n95533 100000\n30799 46246\n1941 2909\n82753 100000\n29784 44700\n60260 90413\n53629 80473\n77140 100000\n42672 64095\n21953 32975\n38141 57241\n37023 55561\n57847 86784\n37491 56266\n26391 39598\n62757 94151\n97564 100000\n74324 100000\n3480 5240\n39398 59136\n7330 11010\n43653 65559\n5057 7598\n10125 15143\n56564 84867\n76973 100000\n89555 100000\n80431 100000\n86793 100000\n69998 100000\n88006 100000\n37108 55681\n3901 5876\n7762 11659\n41822 62810\n83906 100000\n64017 96026\n13015 19504\n73180 100000\n31569 47394\n72244 100000\n53010 79550\n45499 68318\n4691 7053\n27517 41302\n16642 24939\n49418 74199\n9418 14102\n84997 100000\n89895 100000\n57600 86409\n87211 100000\n34107 51227\n73691 100000\n44947 67495\n32041 48109\n50895 76384\n77142 100000\n4441 6684\n83150 100000\n17768 26664\n12329 18464\n178 273\n62459 93706\n10496 15697\n91706 100000\n26176 39267\n8651 12955\n61437 92161\n10169 15204\n20676 31036\n95909 100000\n1169 1740\n64187 96279\n26485 39736\n64961 97445\n89313 100000\n62873 94324\n66915 100000\n96167 100000\n72113 100000\n65835 98756\n28310 42508\n58503 87799\n66529 99791\n24392 36618\n95629 100000\n84649 100000\n1551 2318\n1461 2187\n23541 35342\n68499 100000\n83762 100000\n51423 77166\n50232 75389\n73365 100000\n51867 77839\n57513 86278\n30167 45286\n65035 97549\n12055 18059\n34026 51102\n35772 53690\n32840 49303\n19453 29193\n37703 56587\n45365 68113\n26278 39425\n11608 17372\n61498 92259\n52380 78597\n73839 100000\n11944 17898\n48121 72264\n87225 100000\n58730 88148\n36292 54463\n27964 41976\n79837 100000\n93110 100000\n48683 73117\n41557 62404\n19030 28547\n52383 78602\n8170 12254\n89808 100000\n17474 26211\n31211 46862\n99154 100000\n1603 2399\n33766 50697\n25793 38691\n185 284\n13677 20469\n52070 78146\n36503 54781\n71620 100000\n92863 100000\n20171 30263\n55337 83013\n36714 55089\n24134 36235\n35646 53507\n11505 17219\n44139 66290\n97937 100000\n639 967\n23304 34985\n26488 39741\n74288 100000\n1629 2437\n89230 100000\n22988 34514\n42101 63222\n3174 4770\n90488 100000\n66070 99110\n6077 9132\n30436 45697\n98271 100000\n42304 63529\n45137 67777\n64686 97030\n63291 94932\n10734 16062\n58926 88433\n58120 87208\n68021 100000\n11000 16467\n55697 83560\n62813 94234\n13213 19797\n31535 47343\n95385 100000\n8140 12205\n91651 100000\n22607 33949\n63645 95463\n56697 85066\n19922 29892\n715 1078\n17903 26866\n13991 20942\n85579 100000\n7129 10696\n91676 100000\n78695 100000\n49484 74301\n93382 100000\n20561 30864\n4407 6635\n71121 100000\n71636 100000\n91501 100000\n64759 97140\n23103 34690\n37976 56999\n62232 93362\n28730 43128\n2347 3526\n53295 79962\n97531 100000\n23139 34743\n44536 66881\n28546 42859\n32462 48745\n50783 76218\n41336 62066\n54345 81544\n4218 6346\n14744 22070\n45560 68404\n93091 100000\n87585 100000\n78599 100000\n69088 100000\n26788 40193\n75631 100000\n52943 79453\n80020 100000\n75660 100000\n15011 22475\n65632 98454\n39841 59797\n18189 27290\n17017 25509\n27572 41383\n4273 6429\n73842 100000\n14802 22158\n74842 100000\n42535 63891\n57545 86325\n36372 54584\n88399 100000\n52960 79477\n87842 100000\n66748 100000\n52111 78207\n85703 100000\n49489 74307\n91828 100000\n2518 3777\n39497 59281\n55009 82510\n55880 83829\n32608 48954\n18001 27005\n75371 100000\n54088 81159\n39842 59798\n33267 49941\n28058 42122\n2040 3055\n80865 100000\n37362 56069\n99573 100000\n916 1377\n24377 36596\n56616 84948\n39072 58639\n32912 49411\n95164 100000\n97336 100000\n64533 96806\n49203 73891\n50754 76171\n11186 16746\n57770 86663\n74151 100000\n62679 94035\n5540 8336\n4875 7322\n8024 12039\n30169 45289\n11429 17103\n15875 23767\n66563 99841\n68173 100000\n79678 100000\n86651 100000\n62049 93084\n49543 74390\n22771 34184\n38937 58435\n97516 100000\n69769 100000\n12778 19146\n90273 100000\n25986 38974\n11039 16525\n70053 100000\n77978 100000\n35333 53044\n50202 75347\n92584 100000\n42585 63962\n81478 100000\n28106 42195\n33047 49614\n23868 35822\n87775 100000\n3234 4865\n21476 32233\n63173 94762\n94732 100000\n72173 100000\n48533 72886\n65322 97987\n30123 45219\n70249 100000\n97536 100000\n82079 100000\n99924 100000\n25232 37884\n21491 32253\n77145 100000\n74539 100000\n38552 57853\n58085 87149\n41932 62970\n21675 32544\n86915 100000\n47487 71325\n33427 50174\n19019 28531\n8077 12112\n28907 43402\n90039 100000\n98985 100000\n45358 68105\n9694 14497\n11240 16824\n15604 23369\n95129 100000\n88393 100000\n23922 35907\n92394 100000\n94458 100000\n69923 100000\n967 1448\n85612 100000\n19505 29274\n7096 10652\n92539 100000\n15707 23519\n30379 45607\n8839 13232\n49820 74794\n91450 100000\n59549 89357\n72416 100000\n39817 59758\n30981 46526\n98502 100000\n73192 100000\n72855 100000\n8579 12852\n17877 26824\n18067 27101\n13925 20839\n94232 100000\n60022 90064\n14873 22263\n37339 56032\n6163 9262\n82206 100000\n93113 100000\n70011 100000\n8646 12949\n81625 100000\n7321 10997\n73574 100000\n48242 72437\n24722 37117\n73423 100000\n990 1482\n23380 35097\n53253 79900\n93653 100000\n63581 95370\n67415 100000\n10759 16103\n81651 100000\n20772 31173\n39935 59940\n26602 39911\n99747 100000\n99002 100000\n98773 100000\n98064 100000\n14209 21276\n69766 100000\n22746 34149\n14680 21972\n70009 100000\n21690 32566\n99065 100000\n80645 100000\n34864 52345\n91510 100000\n67049 100000\n77007 100000\n16230 24302\n6871 10319\n8232 12347\n19549 29342\n26652 39982\n71099 100000\n2584 3877\n44424 66717\n78302 100000\n11859 17761\n50143 75259\n44728 67153\n62639 93974\n67514 100000\n13671 20460\n44539 66887\n65608 98414\n29294 43977\n4404 6629\n28896 43384\n99416 100000\n81277 100000\n1502 2249\n88796 100000\n86999 100000\n24606 36949\n12245 18333\n18513 27781\n59224 88870\n22456 33718\n43515 65355\n60604 90925\n58789 88231\n59207 88845\n17780 26678\n42505 63847\n26439 39669\n34269 51452\n10137 15162\n71434 100000\n24972 37498\n45675 68575\n58994 88532\n91951 100000\n80697 100000\n33055 49628\n22474 33749\n14909 22317\n54773 82159\n37528 56319\n89480 100000\n94735 100000\n13630 20402\n87720 100000\n23601 35429\n77074 100000\n38834 58279\n37673 56539\n34208 51363\n36571 54881\n93914 100000\n82302 100000\n58749 88173\n93003 100000\n68055 100000\n69708 100000\n53171 79785\n45227 67910\n39475 59249\n63091 94642\n7453 11199\n640 969\n97223 100000\n28883 43363\n28502 42792\n25611 38422\n31918 47921\n23223 34866\n54794 82190\n19320 28983\n91290 100000\n65559 98338\n29530 44327\n65454 98184\n17281 25922\n85204 100000\n45260 67960\n65869 98812\n23605 35436\n69615 100000\n60090 90167\n58960 88480\n26092 39134\n45577 68429\n93085 100000\n78975 100000\n33830 50796\n3599 5416\n75888 100000\n14740 22064\n79463 100000\n1337 1983\n1401 2094\n70274 100000\n15681 23482\n92951 100000\n84673 100000\n60421 90656\n5424 8155\n26484 39734\n94914 100000\n85735 100000\n91526 100000\n892 1340\n90091 100000\n12014 18003\n28440 42701\n72816 100000\n87163 100000\n8689 13014\n2551 3828\n35008 52559\n94145 100000\n78584 100000\n72123 100000\n35357 53080\n16170 24211\n362 548\n12779 19148\n5862 8815\n38946 58448\n19728 29603\n89245 100000\n8534 12785\n52235 78384\n38190 57312\n35129 52734\n49268 73986\n88112 100000\n30366 45587\n31630 47487\n38174 57289\n49553 74404\n80313 100000\n67436 100000\n2309 3464\n1350 2008\n28824 43272\n25952 38920\n707 1069\n60964 91452\n88063 100000\n13408 20088\n50663 76028\n52171 78294\n71292 100000\n35777 53698\n44322 66567\n71626 100000\n81857 100000\n56318 84494\n96395 100000\n58171 87283\n8760 13120\n82735 100000\n23895 35864\n58384 87616\n24360 36569\n931 1399\n6162 9261\n20290 30448\n95420 100000\n36416 54648\n52125 78226\n60802 91212\n69863 100000\n82252 100000\n28650 43014\n75247 100000\n63207 94812\n19682 29536\n54179 81294\n88889 100000\n93560 100000\n16342 24469\n39454 59216\n53758 80670\n61430 92151\n29107 43700\n10923 16349\n78264 100000\n58081 87141\n76367 100000\n91201 100000\n74753 100000\n66433 99653\n74854 100000\n72617 100000\n5633 8476\n58029 87055\n92920 100000\n79298 100000\n66086 99134\n13229 19821\n75061 100000\n58826 88283\n69109 100000\n47424 71228\n42210 63386\n72913 100000\n21591 32410\n69667 100000\n22313 33512\n97772 100000\n74834 100000\n31472 47256\n97976 100000\n17277 25918\n68922 100000\n75085 100000\n68634 100000\n91140 100000\n40877 61364\n35550 53365\n30334 45539\n312 474\n6080 9136\n35058 52631\n46374 69644\n77581 100000\n55737 83619\n36655 55004\n83132 100000\n67673 100000\n67481 100000\n64214 96319\n82723 100000\n77951 100000\n18898 28349\n31463 47244\n18803 28216\n15374 23024\n27157 40748\n35145 52760\n56713 85091\n83824 100000\n96162 100000\n68563 100000\n3589 5402\n56787 85192\n6704 10064\n29920 44906\n55336 83012\n96740 100000\n18703 28068\n92635 100000\n3795 5711\n93746 100000\n39257 58918\n64767 97150\n82083 100000\n99669 100000\n51051 76616\n22082 33168\n69717 100000\n45133 67772\n82727 100000\n53429 80169\n29195 43836\n46596 69987\n73607 100000\n80248 100000\n65567 98351\n13116 19651\n63334 94998\n45693 68605\n57004 85527\n35375 53106\n93950 100000\n9226 13813\n796 1195\n20667 31020\n62724 94102\n76049 100000\n31451 47224\n79410 100000\n29793 44713\n9886 14788\n35527 53329\n92789 100000\n79905 100000\n80405 100000\n40745 61159\n32754 49172\n6834 10260\n27031 40553\n82584 100000\n37592 56424\n96501 100000\n10195 15240\n25891 38826\n63379 95066\n92883 100000\n50333 75548\n82165 100000\n61893 92842\n26299 39459\n61121 91687\n97961 100000\n95532 100000\n6457 9697\n98072 100000\n65553 98329\n78199 100000\n28461 42732\n58533 87840\n88894 100000\n33446 50203\n14164 21205\n96787 100000\n70439 100000\n39 59\n82547 100000\n5849 8795\n94579 100000\n40599 60932\n50371 75603\n75845 100000\n48220 72405\n53054 79612\n75659 100000\n16691 25012\n35518 53315\n35080 52663\n22143 33262\n50201 75346\n13874 20763\n11461 17154\n20715 31086\n33195 49827\n66816 100000\n95119 100000\n69167 100000\n21329 32010\n57342 86018\n68087 100000\n25191 37818\n9037 13526\n28820 43265\n11744 17584\n31647 47507\n22062 33138\n41577 62433\n42312 63545\n4911 7380\n35942 53949\n24566 36888\n57898 86861\n13185 19757\n99679 100000\n94371 100000\n81333 100000\n62489 93751\n4153 6252\n68939 100000\n69963 100000\n10391 15534\n90026 100000\n83295 100000\n53815 80752\n15650 23435\n50261 75438\n62358 93550\n51518 77308\n58198 87326\n71699 100000\n47227 70930\n1192 1775\n88148 100000\n15692 23498\n36554 54856\n12425 18614\n97483 100000\n3783 5693\n37012 55545\n93544 100000\n57649 86484\n30611 45964\n16599 24875\n59419 89169\n86118 100000\n90784 100000\n20232 30359\n8310 12461\n33090 49672\n35664 53534\n55240 82868\n77972 100000\n97485 100000\n1821 2734\n6761 10153\n45161 67813\n81796 100000\n86948 100000\n79598 100000\n60118 90210\n83467 100000\n678 1028\n72437 100000\n65077 97613\n20911 31385\n60742 91126\n74694 100000\n12697 19023\n37714 56601\n27621 41452\n46059 69155\n4811 7227\n13023 19516\n89897 100000\n57596 86401\n88788 100000\n83696 100000\n7750 11641\n7153 10736\n48919 73468\n85357 100000\n93008 100000\n43187 64876\n17204 25803\n93078 100000\n90962 100000\n3273 4920\n13626 20396\n90755 100000\n53082 79655\n7457 11205\n75652 100000\n701 1061\n40492 60767\n97315 100000\n80273 100000\n59507 89297\n90340 100000\n56286 84442\n77406 100000\n19172 28769\n1949 2919\n12142 18185\n35157 52777\n64358 96540\n64476 96729\n78020 100000\n61919 92881\n34585 51921\n60040 90093\n37942 56949\n98654 100000\n50781 76216\n34524 51831\n2617 3929\n14492 21689\n92881 100000\n66410 99619\n6747 10131\n489 737\n82537 100000\n81925 100000\n53533 80330\n30527 45839\n25937 38899\n69059 100000\n44910 67438\n80646 100000\n25230 37880\n24312 36490\n56044 84079\n965 1446\n26298 39457\n73177 100000\n27773 41687\n16154 24187\n66705 100000\n11750 17594\n48956 73523\n15365 23012\n15804 23662\n36994 55519\n57231 85856\n86654 100000\n4681 7040\n18146 27224\n2298 3447\n74590 100000\n43377 65157\n67944 100000\n68183 100000\n18449 27687\n55951 83937\n70769 100000\n88950 100000\n48992 73577\n37149 55740\n26515 39781\n33834 50802\n46191 69355\n72374 100000\n36917 55398\n79155 100000\n26826 40251\n40772 61201\n67695 100000\n5894 8862\n69279 100000\n20272 30420\n5381 8086\n49981 75019\n27781 41700\n48464 72782\n62349 93536\n81956 100000\n7275 10926\n23778 35690\n73010 100000\n38377 57580\n53682 80549\n88437 100000\n37564 56378\n57422 86140\n27717 41599\n78857 100000\n45583 68438\n86807 100000\n50599 75934\n46368 69633\n49702 74617\n28389 42625\n69678 100000\n6612 9925\n67664 100000\n33987 51041\n23513 35303\n51052 76618\n86766 100000\n77516 100000\n59396 89131\n86235 100000\n62756 94150\n20861 31307\n99797 100000\n48777 73254\n81905 100000\n60725 91100\n38450 57693\n72743 100000\n68110 100000\n81412 100000\n49228 73926\n12630 18924\n78630 100000\n18584 27892\n19254 28886\n36294 54466\n61788 92682\n12223 18299\n38518 57799\n8938 13381\n30011 45050\n70177 100000\n45945 68984\n50059 75131\n36541 54839\n41337 62067\n73724 100000\n98634 100000\n92383 100000\n65802 98705\n80876 100000\n49849 74835\n90884 100000\n14496 21697\n83944 100000\n55987 83994\n21997 33039\n79112 100000\n6000 9013\n37508 56290\n11043 16532\n77462 100000\n56221 84346\n25292 37966\n46470 69795\n34379 51620\n25347 38040\n1449 2168\n80512 100000\n3184 4788\n57120 85696\n48960 73529\n63029 94546\n39725 59624\n59905 89885\n47632 71538\n3621 5451\n39820 59763\n85919 100000\n9206 13783\n75354 100000\n47408 71204\n83310 100000\n7052 10590\n28048 42110\n10285 15377\n38723 58113\n76294 100000\n66559 99835\n69200 100000\n54975 82462\n98456 100000\n60971 91461\n36885 55345\n76211 100000\n35752 53659\n54973 82459\n23080 34655\n85728 100000\n46331 69574\n14609 21867\n56473 84731\n21528 32310\n12307 18428\n63685 95520\n51983 78014\n10915 16337\n97247 100000\n12510 18745\n19306 28962\n92313 100000\n18713 28084\n41832 62824\n93509 100000\n71031 100000\n14030 21003\n23300 34979\n95536 100000\n39960 59974\n38490 57755\n11124 16651\n54858 82288\n55495 83259\n86393 100000\n54832 82248\n76313 100000\n1796 2696\n27140 40726\n58243 87399\n93958 100000\n51041 76600\n7632 11464\n37551 56357\n97584 100000\n99465 100000\n46561 69936\n340 519\n6892 10350\n40046 60101\n29358 44073\n89457 100000\n29886 44857\n98637 100000\n15419 23092\n1409 2105\n91164 100000\n33027 49583\n93437 100000\n94012 100000\n68612 100000\n12760 19114\n82111 100000\n58748 88172\n79669 100000\n25938 38900\n35988 54013\n11561 17303\n80593 100000\n73981 100000\n63442 95156\n69149 100000\n23416 35150\n43051 64673\n92324 100000\n59535 89338\n54186 81304\n64329 96497\n20174 30268\n22218 33371\n82935 100000\n22472 33745\n63388 95078\n95638 100000\n97440 100000\n38837 58285\n92994 100000\n54923 82383\n21610 32439\n3728 5611\n81502 100000\n50018 75072\n76842 100000\n85589 100000\n20645 30988\n46946 70504\n37895 56874\n99014 100000\n82591 100000\n6179 9285\n43712 65649\n76053 100000\n510 768\n32922 49426\n14412 21570\n47167 70845\n48123 72266\n60750 91136\n58622 87982\n2332 3501\n75243 100000\n54893 82334\n35641 53501\n87701 100000\n996 1492\n61675 92516\n54086 81156\n28640 42999\n61445 92175\n18965 28453\n86761 100000\n932 1401\n42380 63656\n31811 47761\n4378 6595\n6166 9266\n69978 100000\n93559 100000\n5557 8360\n62251 93389\n41755 62707\n61015 91529\n90627 100000\n41308 62023\n94614 100000\n86052 100000\n92091 100000\n10461 15642\n96435 100000\n90932 100000\n17245 25866\n69156 100000\n53699 80578\n83758 100000\n53979 81000\n18791 28200\n14820 22186\n64030 96046\n50167 75297\n11011 16484\n42729 64183\n86357 100000\n58687 88084\n23961 35967\n7407 11128\n78191 100000\n95760 100000\n62624 93955\n20414 30636\n9214 13794\n77983 100000\n54185 81303\n92940 100000\n58288 87466\n97266 100000\n46021 69098\n27117 40690\n51561 77373\n49822 74796\n47485 71321\n4267 6419\n64457 96698\n26874 40323\n69642 100000\n1599 2394\n81233 100000\n60417 90650\n82762 100000\n58215 87356\n62729 94109\n19559 29356\n15916 23826\n43811 65794\n16044 24025\n40915 61420\n85853 100000\n24222 36359\n21120 31697\n62887 94342\n19554 29348\n61082 91626\n63568 95349\n2544 3818\n94045 100000\n70040 100000\n77969 100000\n48676 73106\n32267 48449\n28522 42822\n98482 100000\n63895 95834\n48489 72823\n24507 36800\n9616 14382\n83771 100000\n52857 79326\n76574 100000\n34013 51082\n22438 33690\n57662 86503\n59301 88988\n39075 58644\n74366 100000\n57630 86456\n50962 76482\n65778 98671\n20536 30829\n42128 63263\n8567 12834\n9056 13552\n28506 42798\n5227 7852\n38534 57825\n33846 50823\n47584 71464\n53907 80891\n58595 87939\n39159 58773\n99894 100000\n41262 61949\n59992 90017\n64205 96305\n71602 100000\n83497 100000\n74136 100000\n47598 71486\n73876 100000\n85252 100000\n79482 100000\n82841 100000\n15755 23590\n90557 100000\n70922 100000\n12583 18853\n94779 100000\n58493 87787\n6711 10076\n9528 14264\n97047 100000\n54436 81667\n9794 14650\n63738 95601\n53077 79647\n96215 100000\n58747 88171\n50949 76462\n20711 31081\n17587 26378\n54117 81205\n53360 80058\n49979 75017\n94938 100000\n65089 97630\n182 279\n40265 60426\n96354 100000\n87280 100000\n30370 45592\n73985 100000\n47270 70997\n25785 38678\n47519 71369\n5485 8253\n35461 53231\n93685 100000\n56886 85338\n51456 77216\n23214 34853\n60880 91329\n21992 33034\n10381 15520\n93875 100000\n83099 100000\n94274 100000\n78318 100000\n1216 1809\n2566 3850\n32717 49116\n48858 73372\n40775 61207\n94983 100000\n81267 100000\n45284 67990\n94252 100000\n66593 99883\n45566 68412\n29815 44744\n61796 92696\n63464 95190\n72634 100000\n71720 100000\n204 311\n71012 100000\n8970 13426\n88416 100000\n17636 26457\n7025 10550\n11864 17770\n50339 75557\n96910 100000\n85565 100000\n94413 100000\n56679 85041\n12908 19345\n12178 18238\n17282 25924\n49937 74957\n86787 100000\n74711 100000\n5179 7777\n90989 100000\n15489 23204\n53393 80111\n62562 93865\n85507 100000\n59060 88624\n4931 7410\n92244 100000\n19927 29899\n53697 80575\n23597 35422\n92664 100000\n35904 53892\n47490 71330\n92405 100000\n72438 100000\n78677 100000\n50033 75095\n28661 43031\n34740 52157\n30406 45651\n52061 78133\n11962 17927\n93396 100000\n34500 51792\n76424 100000\n18531 27812\n83028 100000\n13705 20512\n55899 83860\n80774 100000\n13693 20493\n84844 100000\n53504 80287\n56418 84647\n45630 68510\n57486 86238\n64370 96556\n58330 87535\n41428 62208\n12693 19018\n99095 100000\n602 911\n69600 100000\n4857 7295\n15937 23856\n83664 100000\n7863 11804\n85299 100000\n76281 100000\n84109 100000\n22294 33487\n27468 41222\n18133 27201\n86099 100000\n4617 6944\n70222 100000\n62121 93190\n62738 94121\n74290 100000\n32338 48554\n38069 57131\n69607 100000\n96864 100000\n85330 100000\n2526 3791\n22017 33071\n47103 70744\n68050 100000\n53325 80008\n72755 100000\n78001 100000\n55958 83948\n70900 100000\n80347 100000\n77524 100000\n24984 37517\n70316 100000\n10030 14993\n924 1390\n46552 69924\n68287 100000\n56550 84848\n21210 31829\n54409 81627\n65741 98617\n84588 100000\n87426 100000\n80887 100000\n2756 4141\n65343 98020\n43859 65865\n98390 100000\n58013 87029\n26459 39699\n19053 28582\n47934 71993\n9691 14493\n73202 100000\n18571 27872\n37721 56609\n267 403\n50572 75894\n13403 20080\n87452 100000\n25963 38937\n97317 100000\n31499 47293\n61740 92613\n68627 100000\n52849 79315\n67522 100000\n27702 41579\n29826 44762\n32331 48544\n9902 14811\n62305 93470\n80247 100000\n54816 82223\n17612 26418\n22399 33631\n52854 79322\n83575 100000\n9116 13645\n41055 61627\n95959 100000\n75728 100000\n77186 100000\n62610 93935\n46200 69370\n3703 5576\n17312 25969\n65319 97982\n80281 100000\n24657 37024\n51373 77089\n75928 100000\n39108 58693\n13247 19849\n11457 17149\n66236 99364\n88987 100000\n23616 35452\n68001 100000\n35965 53978\n66091 99140\n6817 10233\n15235 22809\n86284 100000\n61688 92536\n92035 100000\n84415 100000\n16386 24533\n32425 48685\n7002 10512\n3323 5000\n77035 100000\n68120 100000\n52899 79388\n25791 38687\n69123 100000\n67449 100000\n82822 100000\n86079 100000\n68319 100000\n19279 28922\n80588 100000\n49639 74527\n58578 87913\n16413 24574\n56254 84394\n48156 72315\n6033 9059\n20683 31047\n31867 47846\n80797 100000\n65232 97841\n47659 71579\n60442 90684\n53162 79774\n10326 15440\n85898 100000\n62135 93215\n12931 19377\n20686 31050\n92932 100000\n4650 6993\n1973 2958\n24140 36242\n51143 76749\n43556 65413\n32017 48070\n98733 100000\n4588 6901\n76647 100000\n6646 9981\n71740 100000\n49955 74981\n79282 100000\n56293 84452\n55474 83226\n15391 23050\n59846 89802\n61628 92448\n73039 100000\n72234 100000\n56973 85475\n43384 65168\n24158 36270\n90984 100000\n74047 100000\n15570 23321\n92159 100000\n49986 75027\n2792 4194\n99586 100000\n73072 100000\n68737 100000\n63698 95542\n40927 61438\n7295 10956\n42794 64288\n87419 100000\n24505 36798\n29116 43716\n33003 49545\n74768 100000\n79618 100000\n92720 100000\n88116 100000\n12502 18732\n8632 12927\n21264 31909\n13594 20356\n21312 31986\n5092 7649\n97072 100000\n28645 43006\n15530 23261\n47607 71502\n87569 100000\n34775 52211\n76340 100000\n9809 14674\n43722 65664\n61855 92789\n83463 100000\n40866 61346\n9758 14594\n50701 76081\n65356 98039\n8910 13342\n43201 64895\n70037 100000\n9130 13665\n88049 100000\n11896 17821\n81497 100000\n74490 100000\n54699 82047\n94105 100000\n92576 100000\n50891 76377\n75298 100000\n69690 100000\n3732 5616\n42891 64426\n31340 47055\n96418 100000\n5431 8167\n71535 100000\n5715 8598\n55885 83836\n70980 100000\n88837 100000\n29254 43924\n22763 34171\n91788 100000\n66341 99514\n97378 100000\n4132 6223\n34937 52453\n72307 100000\n15739 23563\n70186 100000\n20166 30255\n34886 52378\n61046 91571\n95704 100000\n11531 17259\n98061 100000\n53484 80257\n46351 69606\n8680 13001\n71026 100000\n63066 94602\n63547 95318\n69528 100000\n68411 100000\n97003 100000\n57463 86200\n85982 100000\n91396 100000\n47273 71001\n48692 73132\n96898 100000\n98041 100000\n25763 38648\n32199 48342\n40800 61244\n15100 22606\n32837 49299\n51388 77112\n40853 61327\n96323 100000\n31832 47789\n98963 100000\n76431 100000\n60897 91356\n30110 45196\n46190 69353\n12044 18044\n88269 100000\n28248 42411\n6325 9501\n6941 10422\n33100 49687\n13708 20515\n74063 100000\n17458 26190\n58489 87781\n92662 100000\n3246 4882\n7846 11781\n42066 63171\n91721 100000\n15911 23820\n95934 100000\n38619 57951\n35516 53313\n97160 100000\n24116 36210\n89881 100000\n17278 25919\n98561 100000\n87091 100000\n79005 100000\n55347 83028\n8858 13261\n5430 8166\n7728 11608\n62374 93577\n33589 50425\n45387 68147\n71570 100000\n8945 13390\n57943 86926\n1931 2895\n93804 100000\n5941 8927\n23073 34646\n43367 65142\n40554 60863\n64432 96657\n90104 100000\n67137 100000\n12287 18397\n3751 5644\n20295 30455\n42762 64238\n57965 86961\n14758 22092\n40079 60150\n96042 100000\n92236 100000\n67603 100000\n80640 100000\n37944 56953\n53635 80482\n15351 22989\n17559 26336\n14649 21928\n44978 67546\n74720 100000\n47379 71159\n79444 100000\n89885 100000\n49851 74839\n46579 69964\n84719 100000\n83951 100000\n18700 28064\n49392 74156\n68789 100000\n15353 22992\n51969 77992\n63426 95133\n44825 67305\n43991 66068\n99217 100000\n36009 54045\n96402 100000\n63004 94512\n35613 53462\n88160 100000\n38411 57635\n91232 100000\n46364 69627\n94181 100000\n61103 91660\n146 221\n70735 100000\n78633 100000\n86727 100000\n78985 100000\n3449 5196\n42669 64090\n72206 100000\n94811 100000\n73858 100000\n22561 33879\n5964 8962\n54349 81549\n50352 75576\n35634 53492\n57241 85872\n66779 100000\n43849 65851\n81696 100000\n54804 82205\n21193 31805\n54605 81912\n15233 22807\n8753 13108\n51437 77185\n86762 100000\n88736 100000\n11479 17178\n84858 100000\n38438 57677\n41667 62570\n68187 100000\n877 1319\n30429 45687\n15526 23256\n22570 33892\n82966 100000\n32524 48828\n11578 17327\n45157 67809\n39473 59247\n6253 9389\n57755 86636\n8770 13134\n71542 100000\n15398 23061\n27313 40981\n18891 28340\n55568 83369\n70323 100000\n56095 84154\n72357 100000\n51975 78001\n90220 100000\n92532 100000\n25032 37583\n74830 100000\n33754 50679\n71477 100000\n22587 33920\n51635 77489\n65282 97925\n28786 43211\n11080 16588\n87219 100000\n68760 100000\n86257 100000\n29638 44488\n30203 45343\n74580 100000\n92918 100000\n72892 100000\n18181 27278\n19256 28888\n34853 52328\n55938 83916\n77092 100000\n34912 52418\n93669 100000\n13416 20100\n59509 89300\n8518 12760\n30923 46435\n92195 100000\n21967 32998\n95673 100000\n12831 19226\n7283 10937\n38320 57500\n54571 81862\n46918 70462\n36029 54078\n1255 1864\n28569 42892\n21769 32688\n468 709\n84358 100000\n99084 100000\n74546 100000\n48540 72896\n70627 100000\n2387 3583\n63216 94825\n78799 100000\n88530 100000\n486 734\n42074 63183\n10221 15281\n70538 100000\n11996 17977\n96058 100000\n63249 94872\n28940 43452\n47717 71667\n77437 100000\n42898 64438\n54792 82188\n99031 100000\n58566 87894\n89240 100000\n23671 35527\n47496 71337\n43987 66061\n62693 94058\n15810 23672\n6614 9928\n52858 79328\n42959 64536\n91568 100000\n51215 76854\n61660 92496\n57091 85657\n72900 100000\n52913 79410\n79749 100000\n70727 100000\n60865 91307\n35055 52627\n76310 100000\n15598 23360\n64426 96648\n4146 6242\n30318 45515\n90074 100000\n1126 1677\n31778 47706\n29104 43697\n53276 79933\n4623 6953\n51348 77052\n71703 100000\n7162 10751\n6943 10424\n26262 39399\n83372 100000\n61181 91777\n7307 10972\n94474 100000\n20088 30137\n16720 25051\n13914 20823\n81444 100000\n61947 92924\n28919 43420\n22875 34339\n40031 60080\n42001 63072\n9702 14509\n27605 41427\n36627 54964\n41904 62933\n25482 38235\n97890 100000\n21719 32608\n40981 61513\n91475 100000\n45946 68985\n62774 94173\n85127 100000\n12837 19235\n1090 1622\n42806 64305\n24741 37147\n11391 17047\n81118 100000\n53184 79805\n53434 80177\n41747 62696\n41623 62506\n69158 100000\n98813 100000\n20205 30317\n69760 100000\n73617 100000\n3643 5485\n94753 100000\n15619 23391\n13413 20096\n93171 100000\n65042 97560\n27890 41864\n55882 83832\n18752 28142\n24346 36546\n156 236\n87934 100000\n26060 39091\n61629 92450\n40475 60740\n80546 100000\n86072 100000\n23526 35322\n92420 100000\n84503 100000\n41140 61765\n10932 16363\n84202 100000\n12635 18933\n42280 63493\n71441 100000\n42717 64163\n95687 100000\n57689 86541\n44124 66266\n91318 100000\n8358 12527\n23818 35751\n39975 59994\n62895 94353\n74280 100000\n10332 15449\n45586 68444\n69506 100000\n28139 42244\n52999 79532\n75753 100000\n6150 9242\n22131 33245\n57861 86805\n89804 100000\n11770 17622\n45743 68680\n20090 30139\n44561 66915\n19512 29285\n73908 100000\n9042 13532\n63722 95576\n4988 7497\n994 1488\n65172 97757\n90698 100000\n80031 100000\n3606 5427\n1229 1826\n42080 63191\n34625 51979\n50785 76221\n28381 42612\n40667 61037\n86412 100000\n84378 100000\n18443 27676\n37085 55651\n26748 40131\n75343 100000\n99569 100000\n81618 100000\n46414 69710\n24093 36173\n83215 100000\n96104 100000\n34979 52514\n35656 53522\n72714 100000\n1749 2625\n34068 51169\n34460 51736\n90623 100000\n62541 93834\n18150 27231\n53896 80873\n54201 81327\n67643 100000\n95190 100000\n7441 11182\n91500 100000\n49124 73776\n86401 100000\n24959 37477\n7795 11706\n89693 100000\n49631 74516\n20021 30033\n46313 69544\n80215 100000\n14202 21267\n82470 100000\n15848 23726\n14580 21825\n85953 100000\n36855 55298\n95157 100000\n15972 23913\n71424 100000\n51207 76845\n23338 35037\n29352 44065\n63694 95535\n36406 54634\n67657 100000\n36686 55047\n5120 7693\n31447 47218\n63101 94658\n30268 45445\n19156 28746\n52181 78305\n41994 63062\n16682 24997\n92471 100000\n41370 62118\n16157 24193\n78751 100000\n97762 100000\n54085 81155\n11766 17617\n61562 92356\n22429 33677\n10580 15824\n87458 100000\n70425 100000\n55492 83255\n22276 33461\n37730 56625\n22055 33129\n64479 96734\n51019 76566\n26019 39026\n67795 100000\n9437 14130\n96397 100000\n16377 24520\n87859 100000\n48166 72330\n763 1148\n50191 75331\n73662 100000\n33471 50243\n48624 73026\n61789 92684\n64110 96166\n29234 43895\n61680 92524\n4046 6103\n5354 8043\n77918 100000\n27143 40730\n41990 63057\n24047 36102\n92561 100000\n73896 100000\n79730 100000\n22231 33393\n65237 97851\n58834 88294\n97211 100000\n15058 22542\n78771 100000\n23938 35931\n31768 47691\n95600 100000\n4076 6144\n96670 100000\n605 915\n70458 100000\n74035 100000\n34171 51310\n119 180\n37320 56006\n57415 86127\n44403 66687\n45796 68759\n70044 100000\n74491 100000\n31842 47806\n87383 100000\n77426 100000\n11876 17791\n65521 98285\n80024 100000\n66414 99624\n58365 87588\n46350 69605\n67582 100000\n29175 43805\n55779 83681\n81105 100000\n94610 100000\n2613 3923\n29968 44984\n8663 12975\n69202 100000\n80289 100000\n57480 86226\n24549 36863\n13000 19480\n13632 20404\n45729 68660\n11724 17554\n78887 100000\n19397 29103\n33384 50115\n30050 45106\n87715 100000\n30886 46378\n21189 31799\n31909 47907\n24186 36307\n21404 32125\n74301 100000\n72114 100000\n86202 100000\n51092 76677\n94369 100000\n8956 13405\n13195 19772\n64967 97452\n54972 82457\n40530 60824\n6922 10395\n76212 100000\n88854 100000\n96818 100000\n73946 100000\n55355 83038\n95713 100000\n44175 66348\n11055 16552\n76629 100000\n15670 23467\n3907 5888\n4726 7105\n77878 100000\n76073 100000\n48387 72663\n67645 100000\n38804 58241\n49967 74999\n66302 99456\n84462 100000\n74730 100000\n57776 86672\n24527 36830\n52047 78112\n11344 16979\n84330 100000\n95008 100000\n16849 25250\n91041 100000\n30807 46259\n87478 100000\n19461 29205\n51874 77849\n84855 100000\n28406 42647\n98849 100000\n19354 29037\n85078 100000\n75782 100000\n34458 51734\n92670 100000\n73857 100000\n39347 59052\n76538 100000\n27247 40887\n31722 47614\n90474 100000\n9713 14525\n29948 44951\n40639 60993\n24556 36872\n58859 88337\n51280 76953\n22781 34199\n54137 81234\n35390 53124\n54528 81802\n68417 100000\n14234 21312\n58304 87494\n22630 33982\n61259 91896\n45156 67807\n55168 82764\n60575 90880\n68821 100000\n15642 23423\n80433 100000\n91379 100000\n20059 30093\n35934 53936\n28300 42492\n47285 71020\n10520 15731\n87414 100000\n24203 36334\n58319 87518\n95956 100000\n58986 88518\n40287 60459\n828 1246\n86497 100000\n27256 40898\n3597 5413\n3345 5031\n92730 100000\n44558 66911\n50708 76093\n2425 3639\n64736 97106\n51615 77456\n52800 79243\n29284 43962\n9970 14908\n11691 17506\n39453 59214\n7225 10854\n39302 58984\n21053 31595\n27271 40918\n86165 100000\n9407 14084\n5246 7882\n60917 91384\n63672 95501\n91180 100000\n61313 91975\n30080 45148\n13328 19972\n26406 39622\n55259 82897\n12824 19216\n6126 9205\n80991 100000\n27675 41536\n10212 15267\n65646 98471\n97023 100000\n67382 100000\n1471 2203\n90797 100000\n33246 49908\n6140 9227\n39232 58882\n93900 100000\n62996 94499\n86077 100000\n29129 43737\n18103 27159\n45101 67725\n13817 20675\n96815 100000\n22729 34123\n43716 65654\n7375 11079\n49178 73858\n3611 5435\n7063 10606\n10924 16351\n76364 100000\n69568 100000\n93506 100000\n7319 10993\n96019 100000\n17370 26056\n43646 65547\n24329 36517\n11518 17238\n82001 100000\n84383 100000\n74457 100000\n74699 100000\n51140 76746\n78215 100000\n62978 94473\n77105 100000\n24542 36854\n65213 97815\n46077 69181\n3010 4527\n34557 51878\n3646 5490\n88727 100000\n89855 100000\n74621 100000\n97812 100000\n470 712\n80306 100000\n99913 100000\n57360 86047\n56155 84250\n30966 46501\n64475 96727\n1384 2066\n24196 36323\n60898 91358\n54833 82249\n34850 52323\n3297 4956\n56328 84510\n4025 6071\n59374 89099\n57628 86452\n10568 15804\n26181 39276\n18077 27119\n41174 61814\n10022 14982\n42462 63782\n58068 87120\n56880 85331\n22328 33532\n44560 66914\n48976 73550\n48611 73008\n67524 100000\n85615 100000\n98124 100000\n64154 96232\n79074 100000\n24280 36439\n89143 100000\n46890 70422\n55005 82505\n74188 100000\n71019 100000\n7950 11928\n94191 100000\n25776 38666\n76642 100000\n89110 100000\n84542 100000\n13565 20315\n89300 100000\n11475 17172\n541 817\n63038 94559\n19034 28554\n75252 100000\n37013 55546\n38224 57359\n40773 61203\n73752 100000\n16239 24315\n88023 100000\n38614 57945\n83343 100000\n30460 45734\n98946 100000\n82889 100000\n23550 35353\n91043 100000\n16543 24784\n29158 43779\n49371 74124\n78705 100000\n84963 100000\n39635 59485\n19620 29447\n2589 3884\n82631 100000\n91271 100000\n62180 93284\n66719 100000\n12018 18009\n12677 18994\n28763 43178\n10056 15032\n55244 82872\n66726 100000\n71992 100000\n50837 76299\n4655 7002\n769 1155\n45097 67720\n79484 100000\n44687 67096\n8295 12443\n2904 4364\n73108 100000\n32989 49525\n95252 100000\n67684 100000\n74195 100000\n1847 2776\n70656 100000\n51163 76777\n6447 9682\n33229 49879\n86563 100000\n71858 100000\n40708 61106\n98027 100000\n83309 100000\n32897 49387\n47415 71214\n52339 78538\n89617 100000\n63014 94525\n7399 11116\n95438 100000\n42247 63441\n57679 86527\n93595 100000\n70484 100000\n62062 93102\n32521 48825\n60791 91198\n68446 100000\n37127 55710\n99109 100000\n71746 100000\n75493 100000\n79727 100000\n17062 25576\n95463 100000\n48114 72254\n3304 4969\n78901 100000\n40761 61185\n15010 22473\n89758 100000\n26619 39937\n21081 31637\n74750 100000\n15484 23197\n56610 84938\n97163 100000\n63819 95719\n64007 96012\n13054 19564\n64659 96990\n74611 100000\n98805 100000\n58420 87670\n75519 100000\n75988 100000\n9690 14492\n45660 68552\n674 1021\n97663 100000\n20026 30041\n88620 100000\n87457 100000\n24395 36622\n12312 18437\n92542 100000\n70256 100000\n71406 100000\n52994 79525\n325 497\n42278 63491\n87944 100000\n42222 63405\n71578 100000\n3816 5743\n44247 66456\n40277 60442\n45003 67584\n38308 57481\n98321 100000\n75958 100000\n38226 57362\n10771 16122\n80700 100000\n82877 100000\n65645 98470\n13847 20721\n37165 55767\n46236 69427\n89060 100000\n24397 36625\n81895 100000\n7687 11548\n32814 49267\n97706 100000\n74438 100000\n37658 56517\n67736 100000\n32216 48367\n4569 6876\n18818 28237\n29203 43848\n37180 55792\n92502 100000\n22783 34202\n54660 81988\n57183 85789\n43733 65680\n89429 100000\n20431 30665\n72585 100000\n68310 100000\n85056 100000\n22551 33865\n86219 100000\n1120 1666\n94152 100000\n28495 42779\n50447 75709\n7160 10747\n36495 54768\n99299 100000\n58953 88470\n58238 87392\n53115 79706\n67260 100000\n78891 100000\n31189 46831\n98370 100000\n23066 34635\n2856 4284\n27114 40686\n37271 55934\n58855 88331\n68098 100000\n4817 7235\n10054 15028\n60511 90787\n10660 15947\n72701 100000\n8174 12260\n82357 100000\n13754 20584\n9488 14205\n98943 100000\n64067 96104\n72243 100000\n54366 81571\n13690 20490\n8720 13059\n68182 100000\n67033 100000\n30576 45912\n65708 98567\n87404 100000\n83266 100000\n72725 100000\n10830 16210\n36823 55247\n38269 57423\n24237 36379\n56547 84842\n10977 16431\n14167 21210\n98786 100000\n85654 100000\n59497 89282\n74407 100000\n80473 100000\n85699 100000\n64184 96274\n15248 22828\n10371 15505\n78749 100000\n76145 100000\n56267 84415\n41710 62638\n50726 76126\n10423 15585\n20998 31509\n5521 8306\n77203 100000\n64287 96435\n64888 97330\n2649 3977\n36924 55407\n80752 100000\n25284 37957\n5073 7624\n44707 67124\n85486 100000\n70224 100000\n17834 26760\n56437 84679\n35733 53629\n30226 45379\n33949 50981\n58144 87244\n42426 63730\n50525 75822\n7490 11252\n31469 47251\n75635 100000\n59200 88834\n89013 100000\n46725 70178\n27869 41830\n42681 64111\n5758 8658\n9417 14101\n84683 100000\n83289 100000\n93526 100000\n99538 100000\n29396 44126\n72777 100000\n4377 6593\n67268 100000\n82838 100000\n22758 34164\n45424 68201\n59520 89317\n82205 100000\n72941 100000\n97009 100000\n63288 94929\n13086 19607\n3431 5169\n78534 100000\n89178 100000\n47514 71361\n24572 36898\n71816 100000\n84950 100000\n708 1070\n78503 100000\n44110 66246\n90638 100000\n77618 100000\n68703 100000\n66767 100000\n84043 100000\n80223 100000\n68222 100000\n73406 100000\n21862 32836\n1488 2230\n42733 64191\n61368 92057\n35403 53142\n23254 34913\n81511 100000\n18119 27185\n11251 16842\n56856 85296\n42706 64145\n93047 100000\n56178 84286\n48493 72829\n22762 34169\n35180 52810\n50152 75274\n73008 100000\n51517 77306\n65543 98314\n9721 14536\n28012 42049\n80779 100000\n52445 78699\n10308 15412\n47686 71622\n1439 2152\n26770 40165\n75899 100000\n64321 96486\n12265 18364\n86292 100000\n49359 74108\n21162 31756\n16322 24441\n42629 64031\n21794 32729\n50606 75945\n78484 100000\n22407 33642\n50478 75754\n87890 100000\n52711 79102\n65556 98334\n34032 51113\n12858 19267\n87974 100000\n82964 100000\n85508 100000\n46433 69741\n53540 80340\n54670 82001\n64021 96032\n83665 100000\n22166 33293\n32230 48391\n1764 2645\n65938 98913\n53346 80039\n21417 32145\n79245 100000\n1687 2528\n51137 76743\n46217 69399\n12075 18087\n20673 31031\n97833 100000\n98331 100000\n74513 100000\n76747 100000\n61894 92843\n90289 100000\n17107 25643\n9808 14672\n33156 49773\n7788 11695\n54237 81383\n11617 17387\n63081 94627\n57535 86310\n48089 72218\n92685 100000\n16619 24908\n287 430\n63837 95747\n35339 53053\n89753 100000\n26122 39175\n18198 27305\n6396 9604\n9401 14073\n62569 93876\n85368 100000\n11804 17679\n51757 77672\n15969 23909\n48401 72687\n75999 100000\n71009 100000\n36304 54481\n41683 62594\n65599 98399\n3888 5855\n40672 61046\n51709 77604\n69718 100000\n396 600\n6300 9466\n34287 51480\n31700 47580\n39414 59154\n21311 31984\n22923 34416\n9202 13776\n31057 46639\n51535 77336\n23859 35810\n11464 17159\n70957 100000\n54272 81435\n82826 100000\n23287 34959\n72024 100000\n38774 58195\n91506 100000\n33390 50124\n36073 54142\n99393 100000\n78453 100000\n92582 100000\n82253 100000\n38321 57502\n448 681\n73971 100000\n75070 100000\n56687 85052\n9329 13968\n34167 51303\n76098 100000\n80927 100000\n97626 100000\n49090 73722\n55398 83105\n90117 100000\n15876 23769\n68104 100000\n45222 67902\n2370 3558\n87978 100000\n88598 100000\n26205 39315\n49669 74569\n95549 100000\n56294 84453\n32732 49140\n63574 95358\n26333 39509\n28251 42416\n7094 10649\n51194 76825\n21167 31763\n19084 28631\n65944 98923\n644 975\n28180 42308\n66300 99453\n86849 100000\n38962 58472\n40073 60142\n75457 100000\n29 45\n13492 20209\n88876 100000\n68725 100000\n15914 23823\n52210 78347\n5727 8615\n4842 7272\n74240 100000\n5886 8851\n527 795\n14386 21531\n91947 100000\n27978 41999\n22805 34234\n82525 100000\n51959 77976\n33192 49824\n7009 10521\n24097 36181\n87662 100000\n59790 89722\n40259 60416\n35804 53742\n41915 62947\n97456 100000\n86602 100000\n60568 90869\n17083 25607\n54561 81849\n89384 100000\n17973 26964\n36903 55374\n72383 100000\n65935 98909\n81050 100000\n47195 70885\n49767 74711\n97325 100000\n76086 100000\n12002 17985\n31820 47771\n73194 100000\n65661 98494\n1519 2274\n70824 100000\n42302 63526\n48807 73297\n9092 13609\n20920 31397\n493 743\n39729 59631\n22776 34190\n51838 77796\n88890 100000\n72972 100000\n40482 60752\n70841 100000\n43689 65614\n36970 55479\n55334 83010\n2776 4170\n33207 49847\n5262 7909\n51138 76744\n74086 100000\n60303 90474\n25077 37647\n11466 17162\n76495 100000\n15778 23626\n24747 37158\n98176 100000\n29362 44078\n56756 85148\n42202 63372\n61274 91917\n99254 100000\n76393 100000\n86377 100000\n20705 31073\n60506 90779\n92689 100000\n22323 33525\n15316 22934\n34253 51428\n42698 64137\n94584 100000\n30549 45872\n31139 46761\n69714 100000\n55414 83134\n71446 100000\n39056 58612\n48361 72621\n98594 100000\n29559 44371\n1068 1595\n60028 90074\n22147 33268\n83795 100000\n32798 49241\n59911 89896\n3072 4618\n18247 27379\n96500 100000\n21532 32315\n45733 68666\n63104 94663\n62126 93198\n30787 46228\n44916 67448\n39312 59000\n657 998\n2146 3214\n5129 7706\n12106 18133\n59821 89767\n21642 32494\n27110 40680\n22726 34118\n45165 67818\n38392 57605\n43440 65247\n98640 100000\n64247 96368\n83422 100000\n45906 68928\n76572 100000\n74529 100000\n56468 84724\n29409 44146\n85359 100000\n78349 100000\n65789 98688\n47209 70904\n95104 100000\n86637 100000\n88805 100000\n92528 100000\n41719 62653\n49907 74918\n20015 30023\n36049 54106\n26676 40021\n87897 100000\n2265 3396\n15787 23639\n20652 30999\n27284 40937\n14033 21006\n78952 100000\n67154 100000\n77465 100000\n33720 50623\n79911 100000\n35250 52920\n59763 89683\n1915 2871\n22060 33136\n18889 28338\n36101 54183\n79283 100000\n60434 90674\n14011 20970\n86571 100000\n79639 100000\n14976 22418\n69950 100000\n93912 100000\n48164 72328\n69312 100000\n85814 100000\n62805 94221\n84837 100000\n14188 21242\n78058 100000\n60849 91283\n46193 69358\n80852 100000\n65131 97693\n22154 33277\n52523 78819\n17857 26796\n62960 94445\n8717 13056\n10499 15701\n50139 75253\n67308 100000\n87396 100000\n55504 83271\n6104 9174\n5934 8917\n76012 100000\n67340 100000\n22669 34034\n23809 35738\n27318 40990\n95700 100000\n9028 13511\n98593 100000\n48694 73136\n16351 24482\n89900 100000\n58397 87636\n24474 36746\n53801 80732\n92558 100000\n19521 29300\n74623 100000\n35746 53650\n78627 100000\n43403 65192\n38217 57347\n56287 84444\n53558 80366\n75884 100000\n90459 100000\n91673 100000\n66048 99075\n72482 100000\n90931 100000\n25397 38113\n93545 100000\n39051 58605\n34278 51466\n78433 100000\n4605 6925\n60296 90463\n72484 100000\n24252 36398\n58984 88514\n411 625\n33854 50837\n47484 71319\n67375 100000\n61199 91802\n96445 100000\n68661 100000\n27095 40658\n66171 99264\n37670 56534\n49762 74705\n36371 54583\n14359 21494\n63570 95352\n97463 100000\n14014 20976\n91035 100000\n93211 100000\n70420 100000\n69340 100000\n78545 100000\n36898 55366\n8641 12939\n79464 100000\n92976 100000\n38168 57280\n59464 89233\n68465 100000\n63327 94988\n59339 89046\n36424 54662\n29269 43942\n25217 37859\n36560 54865\n76586 100000\n27482 41243\n40331 60527\n36812 55230\n98266 100000\n97959 100000\n75289 100000\n32108 48209\n43024 64630\n33734 50648\n56806 85222\n76057 100000\n4794 7205\n44157 66320\n24483 36763\n9766 14606\n33013 49560\n96237 100000\n4850 7284\n95707 100000\n82105 100000\n32217 48369\n68308 100000\n49189 73872\n66878 100000\n38787 58214\n46335 69580\n41351 62088\n20549 30849\n35836 53789\n89575 100000\n95395 100000\n60110 90199\n86667 100000\n3114 4681\n28768 43185\n28027 42076\n61991 92989\n41090 61683\n93245 100000\n18654 27994\n35871 53841\n17132 25684\n64788 97181\n23612 35446\n29696 44574\n33240 49898\n99734 100000\n32547 48861\n68038 100000\n18843 28276\n61154 91735\n57468 86207\n66400 99605\n52624 78971\n7948 11924\n6569 9865\n93022 100000\n30395 45631\n50943 76452\n19972 29966\n64285 96432\n29247 43911\n33695 50585\n62863 94310\n76234 100000\n34368 51602\n3190 4798\n35943 53950\n67911 100000\n61346 92026\n37083 55647\n98280 100000\n68328 100000\n28626 42980\n62525 93807\n18826 28248\n75506 100000\n53148 79755\n29898 44875\n33034 49594\n92264 100000\n24772 37195\n68325 100000\n32219 48372\n87832 100000\n21188 31797\n7832 11759\n55840 83768\n47236 70946\n67855 100000\n93457 100000\n29751 44655\n87705 100000\n12897 19329\n27555 41357\n68794 100000\n48097 72229\n24066 36130\n68918 100000\n43036 64649\n33505 50299\n85731 100000\n30652 46029\n28330 42535\n42372 63641\n41149 61778\n13108 19641\n33179 49805\n23047 34607\n47434 71243\n47068 70692\n38968 58482\n48328 72573\n45826 68801\n41991 63058\n56253 84393\n71062 100000\n40032 60081\n53164 79777\n4616 6942\n71201 100000\n56541 84834\n96460 100000\n21836 32795\n93754 100000\n4934 7414\n25808 38711\n33982 51034\n44722 67144\n1035 1548\n38768 58184\n87970 100000\n76570 100000\n48343 72593\n89058 100000\n95850 100000\n55351 83033\n6074 9126\n71185 100000\n18396 27607\n17681 26527\n75168 100000\n32987 49522\n10916 16338\n11206 16777\n68213 100000\n63448 95165\n44047 66150\n72037 100000\n77252 100000\n67496 100000\n83469 100000\n46592 69980\n1740 2611\n31588 47423\n93101 100000\n20444 30687\n8808 13189\n14612 21873\n12073 18085\n65139 97707\n73784 100000\n92644 100000\n25991 38982\n31513 47312\n94725 100000\n69211 100000\n84677 100000\n38830 58274\n60734 91116\n85992 100000\n60476 90734\n31403 47149\n12319 18447\n34188 51335\n80668 100000\n50914 76411\n18322 27490\n81776 100000\n28713 43102\n25775 38665\n71217 100000\n1935 2901\n15208 22770\n86244 100000\n28128 42226\n29157 43778\n19246 28873\n26189 39288\n54969 82452\n63903 95847\n66001 99010\n56914 85382\n55721 83597\n51263 76928\n19689 29547\n65906 98864\n61164 91751\n98277 100000\n86231 100000\n46425 69727\n62066 93110\n92130 100000\n73620 100000\n65725 98594\n35715 53604\n858 1292\n41554 62400\n28155 42269\n70919 100000\n83781 100000\n95238 100000\n64211 96314\n16960 25422\n73312 100000\n45874 68876\n54716 82074\n44763 67207\n71916 100000\n1549 2316\n62852 94295\n3617 5444\n712 1075\n32974 49501\n91949 100000\n4644 6985\n71375 100000\n72877 100000\n25953 38921\n95358 100000\n22426 33671\n79324 100000\n38262 57413\n78943 100000\n16232 24306\n96600 100000\n79800 100000\n53000 79534\n23786 35702\n27444 41183\n44854 67353\n16640 24935\n7032 10560\n5004 7520\n58847 88317\n83359 100000\n47293 71033\n78278 100000\n76733 100000\n82123 100000\n40510 60792\n55493 83256\n83597 100000\n26046 39069\n39728 59629\n64397 96598\n78183 100000\n80618 100000\n49658 74551\n53394 80113\n94089 100000\n51096 76684\n72731 100000\n49780 74732\n5242 7875\n1367 2037\n55622 83451\n28999 43540\n62430 93663\n99170 100000\n40485 60757\n81243 100000\n67278 100000\n42284 63498\n89864 100000\n4986 7493\n45915 68942\n65981 98981\n28358 42576\n32080 48167\n45362 68109\n37416 56152\n72271 100000\n48567 72940\n21738 32641\n4000 6032\n40028 60075\n23908 35885\n1527 2286\n77480 100000\n5398 8114\n45465 68265\n17429 26143\n29528 44324\n28392 42629\n30992 46540\n13756 20587\n19161 28752\n41042 61610\n71777 100000\n5725 8611\n88808 100000\n36824 55248\n61194 91795\n87634 100000\n97155 100000\n59179 88800\n72726 100000\n91021 100000\n38345 57538\n80652 100000\n37068 55626\n5673 8535\n88700 100000\n1530 2290\n53686 80557\n37333 56024\n75699 100000\n2514 3772\n71945 100000\n77528 100000\n76749 100000\n2052 3073\n16238 24313\n37456 56213\n45689 68599\n53200 79827\n98231 100000\n23367 35080\n68919 100000\n65296 97947\n33235 49890\n3321 4998\n30720 46130\n44867 67375\n78803 100000\n40893 61391\n51752 77665\n79771 100000\n33304 49996\n22759 34166\n25169 37785\n16251 24332\n17781 26679\n53243 79888\n89019 100000\n36016 54056\n26248 39378\n85884 100000\n32491 48785\n63809 95705\n96172 100000\n9755 14589\n64031 96048\n75071 100000\n28657 43025\n55481 83236\n10603 15857\n10225 15288\n60607 90931\n39254 58915\n50672 76041\n31800 47743\n80494 100000\n53878 80843\n56300 84462\n22894 34368\n77650 100000\n18946 28424\n5608 8443\n9513 14242\n24940 37446\n1168 1739\n73492 100000\n12607 18891\n2850 4276\n37848 56803\n24272 36426\n94656 100000\n76235 100000\n19792 29699\n25822 38733\n25872 38803\n20526 30815\n81831 100000\n90725 100000\n16116 24134\n2147 3216\n46697 70139\n49853 74842\n72938 100000\n94354 100000\n13105 19637\n39883 59865\n42902 64442\n42857 64378\n82745 100000\n85751 100000\n993 1487\n4302 6475\n17002 25486\n1988 2979\n42694 64132\n8421 12621\n62956 94438\n73685 100000\n45661 68553\n99127 100000\n76163 100000\n53854 80811\n53258 79907\n38034 57080\n64231 96342\n4906 7374\n91997 100000\n17912 26882\n57063 85620\n13506 20230\n39813 59754\n51783 77715\n72104 100000\n89541 100000\n84926 100000\n99825 100000\n61271 91913\n52599 78929\n49263 73979\n46730 70185\n81955 100000\n43034 64645\n58247 87403\n20782 31189\n28881 43361\n15239 22816\n29919 44905\n77290 100000\n70395 100000\n70859 100000\n50219 75370\n36460 54714\n46015 69089\n23370 35085\n53939 80941\n4210 6335\n70776 100000\n27169 40763\n62304 93469\n31473 47258\n49835 74813\n66876 100000\n85744 100000\n27648 41492\n50277 75461\n35154 52773\n55282 82929\n88714 100000\n50287 75475\n5568 8376\n8721 13060\n95059 100000\n51530 77327\n48413 72704\n1739 2610\n33022 49574\n55096 82649\n48950 73513\n74879 100000\n52564 78879\n44592 66959\n72800 100000\n96138 100000\n43079 64713\n83142 100000\n52710 79100\n52573 78891\n24478 36754\n39489 59269\n43184 64872\n91621 100000\n9947 14877\n96156 100000\n5511 8290\n20042 30066\n3382 5090\n69572 100000\n11047 16540\n31978 48013\n3601 5419\n40593 60922\n96645 100000\n1970 2954\n55851 83788\n9406 14083\n37224 55863\n30028 45075\n69910 100000\n84924 100000\n61399 92103\n45673 68571\n48828 73327\n96032 100000\n27100 40667\n97395 100000\n61762 92646\n76358 100000\n52939 79447\n15817 23680\n63427 95134\n90985 100000\n39865 59834\n67042 100000\n96558 100000\n7534 11318\n62533 93820\n32312 48517\n11270 16871\n48864 73381\n6593 9900\n88069 100000\n21256 31895\n2565 3848\n53781 80705\n25225 37872\n23916 35897\n52593 78919\n12011 17998\n91445 100000\n14000 20953\n53023 79569\n89760 100000\n75054 100000\n55171 82770\n20223 30346\n27156 40746\n70264 100000\n27574 41386\n87437 100000\n74043 100000\n14086 21084\n43522 65364\n82985 100000\n7693 11557\n50495 75781\n82066 100000\n2303 3454\n66800 100000\n41531 62361\n50288 75477\n29404 44138\n47071 70698\n76951 100000\n10027 14989\n96795 100000\n31994 48036\n99986 100000\n73528 100000\n82897 100000\n95456 100000\n88947 100000\n59326 89025\n37959 56974\n20450 30696\n51742 77650\n20297 30457\n14524 21738\n57923 86899\n22335 33542\n18481 27733\n65951 98936\n51363 77074\n42064 63167\n3885 5851\n98381 100000\n95300 100000\n26421 39644\n93697 100000\n66422 99637\n24518 36816\n58391 87626\n66956 100000\n84197 100000\n63222 94834\n27885 41856\n82356 100000\n92744 100000\n25691 38537\n57749 86628\n42289 63506\n76484 100000\n22449 33708\n33039 49601\n45065 67678\n77775 100000\n66855 100000\n32495 48790\n71624 100000\n41634 62522\n2392 3591\n21172 31771\n73050 100000\n80080 100000\n78279 100000\n43033 64644\n59626 89471\n17310 25965\n99268 100000\n41625 62509\n74788 100000\n84246 100000\n49109 73752\n84916 100000\n44567 66923\n22412 33650\n48645 73058\n16818 25204\n38273 57431\n25717 38573\n74426 100000\n95605 100000\n98889 100000\n79666 100000\n7789 11697\n84594 100000\n92188 100000\n58191 87313\n1750 2627\n4066 6130\n22354 33568\n44607 66984\n6543 9828\n8091 12133\n91886 100000\n47625 71529\n65703 98558\n67671 100000\n95820 100000\n35580 53411\n3540 5330\n21240 31872\n23461 35223\n20502 30777\n68395 100000\n17660 26495\n37280 55946\n45642 68528\n18998 28505\n84117 100000\n82849 100000\n34065 51164\n14682 21974\n5337 8020\n88549 100000\n79260 100000\n28928 43433\n74237 100000\n48980 73557\n12706 19034\n2086 3126\n2201 3299\n12920 19360\n75494 100000\n15993 23947\n29307 43995\n54374 81583\n36955 55455\n85978 100000\n96246 100000\n26187 39285\n91159 100000\n75614 100000\n66547 99819\n80319 100000\n97347 100000\n92065 100000\n92266 100000\n41954 63002\n25328 38015\n56060 84107\n55760 83653\n38849 58303\n67872 100000\n8137 12201\n14543 21767\n47022 70621\n40589 60916\n62925 94397\n94370 100000\n52486 78762\n7093 10648\n83885 100000\n4221 6351\n31718 47606\n65854 98789\n27794 41718\n63875 95804\n328 501\n51297 76976\n99112 100000\n10069 15055\n15156 22689\n38745 58148\n96619 100000\n80002 100000\n2452 3679\n53718 80606\n37580 56405\n88892 100000\n45799 68764\n832 1252\n58353 87567\n95592 100000\n10428 15593\n92250 100000\n15855 23737\n68621 100000\n96056 100000\n97926 100000\n16721 25053\n26444 39678\n69410 100000\n3160 4750\n24476 36750\n40738 61149\n92414 100000\n17019 25511\n23249 34904\n54852 82278\n55415 83136\n15440 23128\n21957 32983\n63873 95801\n70688 100000\n32759 49181\n91880 100000\n47062 70683\n82597 100000\n56925 85399\n90331 100000\n17985 26983\n54068 81130\n5417 8143\n95656 100000\n50831 76289\n36781 55183\n39881 59861\n78068 100000\n31206 46853\n19118 28685\n47229 70934\n986 1476\n68995 100000\n96861 100000\n52344 78546\n79974 100000\n35298 52989\n23490 35266\n11044 16534\n46475 69804\n4919 7393\n45919 68947\n86408 100000\n25438 38172\n57509 86273\n11776 17632\n68315 100000\n82427 100000\n48643 73055\n81906 100000\n11290 16901\n47469 71296\n76319 100000\n39880 59859\n14539 21761\n88379 100000\n53747 80654\n14772 22109\n58982 88512\n21867 32845\n83784 100000\n84098 100000\n70065 100000\n23309 34994\n20224 30347\n52295 78469\n27886 41858\n8412 12608\n90560 100000\n10456 15634\n35510 53304\n72196 100000\n84575 100000\n40714 61114\n13994 20946\n65587 98380\n30972 46510\n56801 85213\n74626 100000\n37561 56373\n28815 43257\n64452 96691\n79643 100000\n69735 100000\n67376 100000\n80061 100000\n64070 96108\n9574 14323\n33608 50451\n87238 100000\n55331 83004\n33576 50407\n53458 80213\n68026 100000\n15761 23600\n5710 8590\n66566 99845\n32335 48549\n58972 88496\n15295 22897\n18432 27658\n74275 100000\n42078 63189\n86992 100000\n25469 38213\n94781 100000\n87165 100000\n45972 69025\n86799 100000\n70745 100000\n73157 100000\n18658 27999\n89983 100000\n23079 34654\n48218 72403\n32176 48305\n78163 100000\n69426 100000\n61150 91730\n19732 29608\n81973 100000\n67397 100000\n16465 24657\n92078 100000\n36317 54503\n13585 20342\n61361 92047\n91946 100000\n20544 30842\n8172 12257\n65565 98349\n41856 62857\n77274 100000\n5959 8955\n52225 78370\n96844 100000\n74983 100000\n80296 100000\n71892 100000\n62396 93609\n32980 49511\n99204 100000\n80451 100000\n56023 84048\n38188 57310\n81185 100000\n82244 100000\n27789 41711\n84840 100000\n60840 91270\n36255 54409\n65434 98152\n93704 100000\n3082 4635\n98006 100000\n197 302\n79365 100000\n62824 94250\n15934 23851\n99726 100000\n77276 100000\n11352 16993\n1965 2946\n20815 31237\n13124 19664\n27603 41425\n59955 89966\n74666 100000\n82046 100000\n94186 100000\n61030 91547\n78035 100000\n73393 100000\n90415 100000\n11680 17487\n53991 81016\n87603 100000\n88209 100000\n43600 65480\n68584 100000\n57737 86611\n36950 55448\n38739 58138\n57762 86648\n15813 23676\n30183 45314\n10168 15203\n21238 31870\n79720 100000\n25909 38852\n14995 22450\n97611 100000\n47428 71235\n37065 55622\n8483 12716\n85327 100000\n20199 30307\n45785 68740\n24342 36541\n67869 100000\n36550 54852\n41224 61891\n61224 91841\n47748 71711\n16331 24455\n96794 100000\n45662 68554\n84565 100000\n24575 36902\n88496 100000\n13275 19893\n51929 77928\n68131 100000\n49013 73608\n66342 99516\n4093 6170\n14719 22029\n2628 3949\n76990 100000\n67663 100000\n91685 100000\n20811 31232\n34869 52355\n61432 92154\n80843 100000\n23707 35584\n36057 54119\n20466 30721\n11147 16686\n46812 70309\n54612 81921\n67640 100000\n30266 45443\n46840 70352\n42763 64239\n2407 3614\n47783 71760\n60832 91260\n36757 55150\n67768 100000\n70871 100000\n89725 100000\n27537 41331\n56124 84200\n62173 93273\n2582 3875\n61997 92997\n73124 100000\n32671 49051\n76028 100000\n71070 100000\n18359 27546\n21191 31801\n24120 36216\n78552 100000\n22813 34247\n74481 100000\n6680 10031\n18054 27083\n17436 26155\n28923 43426\n80717 100000\n78216 100000\n10043 15012\n74555 100000\n41008 61557\n91574 100000\n54140 81238\n95506 100000\n40376 60598\n16758 25108\n20776 31179\n35725 53618\n26889 40344\n54729 82092\n59059 88623\n31761 47680\n1682 2520\n15129 22644\n62064 93106\n42432 63740\n49085 73712\n33403 50142\n35478 53257\n98228 100000\n38366 57566\n49850 74837\n27910 41894\n53147 79754\n87636 100000\n94582 100000\n27412 41131\n8478 12708\n93484 100000\n17410 26114\n9312 13942\n26861 40304\n74470 100000\n97581 100000\n75983 100000\n51570 77388\n24308 36484\n98392 100000\n4517 6793\n31092 46693\n51963 77983\n61707 92564\n92803 100000\n60811 91224\n31044 46620\n222 336\n91094 100000\n1233 1832\n33672 50546\n76229 100000\n81047 100000\n58369 87593\n47694 71635\n64665 96999\n15565 23314\n16449 24632\n16429 24600\n48939 73498\n4226 6356\n27152 40740\n56889 85343\n85964 100000\n75098 100000\n62946 94426\n93378 100000\n43451 65262\n58277 87450\n23582 35399\n84199 100000\n96154 100000\n35380 53111\n97491 100000\n34440 51707\n51744 77653\n69979 100000\n20963 31460\n17508 26261\n63717 95570\n49826 74802\n8811 13194\n88123 100000\n58605 87954\n70488 100000\n59047 88607\n50968 76490\n87446 100000\n98572 100000\n60240 90387\n88641 100000\n81859 100000\n40268 60430\n59845 89800\n4106 6189\n10956 16399\n37559 56370\n67309 100000\n58692 88090\n11327 16956\n20702 31070\n47366 71140\n80423 100000\n72083 100000\n83747 100000\n74992 100000\n98680 100000\n96472 100000\n96952 100000\n37977 57000\n22243 33413\n3520 5300\n15075 22568\n92553 100000\n6264 9408\n66276 99418\n69664 100000\n43829 65822\n71058 100000\n76994 100000\n96463 100000\n35589 53426\n10106 15112\n58592 87934\n30832 46294\n29906 44887\n23623 35463\n90076 100000\n66992 100000\n65775 98666\n30848 46323\n42201 63370\n57018 85551\n33587 50423\n42378 63652\n15880 23773\n22650 34006\n62450 93691\n71458 100000\n37393 56116\n13352 20008\n81828 100000\n48259 72462\n88607 100000\n84771 100000\n46523 69877\n23390 35112\n91268 100000\n3055 4592\n50784 76219\n43253 64974\n30022 45066\n84389 100000\n32697 49085\n77760 100000\n91472 100000\n48854 73365\n16959 25421\n71187 100000\n8609 12895\n77072 100000\n25171 37789\n54224 81363\n41727 62665\n85104 100000\n91771 100000\n87252 100000\n92875 100000\n82246 100000\n17011 25499\n26973 40467\n73750 100000\n41043 61612\n84478 100000\n81265 100000\n19432 29160\n26914 40380\n10745 16081\n49672 74574\n68317 100000\n68950 100000\n78889 100000\n21447 32189\n69827 100000\n70767 100000\n20420 30646\n3451 5200\n53870 80834\n69108 100000\n66146 99226\n74748 100000\n82064 100000\n68591 100000\n92286 100000\n84848 100000\n17929 26908\n2734 4107\n39076 58645\n38371 57571\n50159 75286\n90955 100000\n19029 28546\n15298 22903\n82480 100000\n53100 79682\n46780 70261\n80854 100000\n37088 55656\n69322 100000\n39625 59470\n74320 100000\n41396 62159\n2547 3822\n87771 100000\n8212 12322\n21252 31890\n17165 25740\n15885 23781\n30131 45231\n18124 27190\n10321 15431\n13500 20221\n35954 53964\n15255 22838\n78187 100000\n30069 45135\n2656 3989\n27826 41767\n4639 6977\n67583 100000\n89053 100000\n54399 81615\n72501 100000\n17684 26531\n96788 100000\n84216 100000\n50066 75143\n39158 58772\n36600 54927\n48304 72534\n72709 100000\n27200 40815\n20153 30236\n42659 64074\n77129 100000\n94657 100000\n75966 100000\n51866 77837\n22560 33878\n67223 100000\n69750 100000\n29214 43864\n48133 72280\n28093 42177\n50881 76360\n31643 47503\n75109 100000\n84914 100000\n37744 56645\n63383 95072\n1831 2750\n38291 57457\n5564 8370\n33785 50725\n30665 46049\n28137 42241\n32067 48148\n55991 84000\n61565 92362\n10646 15924\n6413 9633\n97118 100000\n64669 97005\n85937 100000\n26883 40336\n55304 82962\n67659 100000\n72998 100000\n26522 39792\n45193 67858\n50639 75993\n34496 51786\n80237 100000\n43771 65734\n44967 67526\n5558 8361\n80119 100000\n142 216\n58037 87068\n36034 54086\n77167 100000\n82926 100000\n53377 80082\n70571 100000\n43786 65756\n4579 6890\n12900 19332\n46497 69840\n11879 17795\n72368 100000\n1 2\n41658 62557\n70469 100000\n45303 68021\n99572 100000\n57700 86556\n95523 100000\n60051 90110\n8687 13011\n29021 43576\n35815 53757\n21031 31560\n44422 66714\n4188 6304\n26258 39394\n36509 54789\n18453 27694\n92652 100000\n1604 2400\n97587 100000\n22731 34127\n5147 7732\n86594 100000\n81619 100000\n50392 75631\n81321 100000\n87023 100000\n70904 100000\n90382 100000\n70465 100000\n47582 71462\n7290 10948\n62354 93544\n15153 22684\n7915 11878\n96405 100000\n53969 80984\n20577 30891\n2502 3753\n70332 100000\n79046 100000\n19404 29114\n78671 100000\n60688 91046\n41560 62410\n59676 89551\n11820 17705\n88213 100000\n15553 23294\n27184 40787\n1332 1975\n32154 48276\n37286 55957\n86653 100000\n85185 100000\n79430 100000\n84694 100000\n59740 89647\n58113 87194\n40315 60500\n36953 55453\n21741 32646\n77390 100000\n86929 100000\n51378 77096\n5188 7791\n52044 78108\n98112 100000\n22645 34000\n75384 100000\n40100 60180\n77546 100000\n48523 72872\n33236 49892\n5234 7861\n45509 68332\n70381 100000\n51641 77499\n19801 29713\n52715 79108\n1621 2424\n37509 56292\n82478 100000\n58707 88112\n22124 33236\n29212 43861\n9197 13768\n90391 100000\n60528 90811\n80419 100000\n44482 66797\n5415 8139\n49737 74668\n1727 2594\n44608 66985\n12991 19465\n68323 100000\n82993 100000\n63665 95492\n13868 20752\n28518 42817\n33253 49919\n24149 36257\n35360 53085\n86998 100000\n75179 100000\n29992 45017\n44650 67044\n28676 43052\n61794 92693\n15595 23357\n36381 54598\n24592 36926\n60072 90139\n57795 86701\n12272 18375\n4398 6622\n50608 75947\n48751 73215\n12812 19199\n29040 43603\n84152 100000\n99330 100000\n32683 49067\n939 1413\n49086 73714\n89237 100000\n96325 100000\n34083 51192\n81756 100000\n40552 60860\n50338 75556\n51400 77129\n17868 26812\n66587 99874\n45403 68169\n8775 13140\n21488 32248\n87014 100000\n25688 38533\n1535 2298\n58520 87823\n42005 63079\n83861 100000\n34629 51986\n41671 62575\n11861 17765\n51746 77655\n11354 16996\n71779 100000\n21138 31721\n80322 100000\n50335 75551\n31775 47703\n28918 43419\n99637 100000\n43397 65184\n56883 85334\n69653 100000\n15674 23472\n12984 19454\n43287 65025\n9493 14214\n74960 100000\n4514 6789\n24401 36632\n82523 100000\n48104 72240\n14038 21012\n79717 100000\n37810 56748\n32461 48744\n61218 91832\n7745 11635\n55261 82900\n28951 43468\n49027 73630\n58704 88107\n49076 73699\n99860 100000\n53375 80078\n53432 80174\n46203 69374\n52948 79460\n74624 100000\n87421 100000\n30305 45498\n10763 16109\n24864 37330\n19532 29318\n5086 7640\n8307 12457\n34940 52457\n41944 62988\n42875 64404\n49305 74031\n69753 100000\n52461 78723\n49106 73747\n26431 39657\n91240 100000\n30060 45121\n57532 86306\n73605 100000\n56145 84234\n39067 58629\n90284 100000\n12424 18613\n10335 15453\n42416 63714\n20477 30737\n88473 100000\n18250 27383\n11685 17496\n27673 41533\n10122 15138\n84728 100000\n35886 53864\n44961 67518\n94674 100000\n39739 59646\n43877 65895\n63056 94586\n23917 35899\n39192 58819\n41402 62170\n92283 100000\n36939 55432\n38111 57197\n4002 6036\n18912 28373\n36720 55096\n60319 90499\n70790 100000\n6107 9178\n59356 89072\n66769 100000\n44219 66413\n1805 2709\n18624 27950\n19885 29837\n69575 100000\n22479 33756\n34313 51522\n16169 24210\n11333 16964\n44577 66936\n63315 94970\n57573 86369\n53041 79594\n39714 59606\n331 505\n50551 75864\n74206 100000\n9657 14440\n59844 89798\n49339 74080\n28800 43230\n17549 26322\n86711 100000\n55751 83640\n54518 81788\n77944 100000\n79855 100000\n77269 100000\n50668 76036\n31795 47734\n98832 100000\n9315 13946\n91378 100000\n92402 100000\n52873 79349\n33925 50945\n6010 9026\n27343 41025\n39925 59925\n93 144\n67562 100000\n3478 5238\n65185 97775\n74949 100000\n15144 22670\n34540 51854\n80027 100000\n20814 31235\n71689 100000\n71713 100000\n88292 100000\n53108 79694\n22302 33497\n14781 22125\n2579 3869\n8939 13382\n38424 57655\n32602 48945\n65535 98303\n67093 100000\n38731 58126\n23663 35517\n51924 77919\n90285 100000\n59337 89044\n21907 32909\n61558 92349\n57687 86538\n93795 100000\n40906 61408\n9821 14693\n40048 60104\n99565 100000\n93529 100000\n30870 46355\n12054 18058\n58387 87620\n56600 84922\n24112 36202\n55139 82719\n40270 60433\n45849 68840\n88897 100000\n17672 26513\n750 1129\n16199 24257\n35472 53250\n81661 100000\n6117 9194\n92202 100000\n33737 50653\n80626 100000\n41183 61829\n91115 100000\n24578 36907\n71034 100000\n5906 8879\n29173 43802\n99001 100000\n58119 87206\n13906 20809\n15475 23184\n84014 100000\n84297 100000\n48102 72236\n10949 16388\n40399 60627\n25796 38695\n43988 66063\n88025 100000\n24327 36514\n5000 7514\n82152 100000\n69909 100000\n49745 74678\n69225 100000\n56104 84171\n38737 58134\n95396 100000\n62607 93931\n70515 100000\n34651 52021\n57506 86270\n6296 9461\n6079 9134\n80672 100000\n62893 94350\n27758 41662\n73234 100000\n75043 100000\n86813 100000\n56522 84804\n65713 98575\n52620 78964\n42264 63466\n57982 86984\n97080 100000\n40676 61053\n78586 100000\n35786 53713\n44850 67345\n25336 38027\n12832 19228\n85106 100000\n66002 99011\n54475 81727\n97257 100000\n8749 13103\n10182 15223\n77498 100000\n12446 18645\n66416 99628\n87919 100000\n68778 100000\n30849 46324\n48760 73228\n8571 12839\n99642 100000\n59309 89000\n95000 100000\n13862 20743\n55711 83581\n24535 36843\n7232 10865\n20227 30351\n324 495\n93177 100000\n98310 100000\n71556 100000\n50513 75807\n37152 55744\n92499 100000\n1336 1982\n50374 75606\n3699 5570\n98372 100000\n95310 100000\n38806 58244\n37577 56400\n84060 100000\n65156 97733\n45670 68568\n45220 67899\n99840 100000\n64852 97276\n24045 36100\n21145 31730\n90888 100000\n82095 100000\n10784 16143\n50078 75162\n48621 73022\n17908 26876\n25988 38977\n37210 55838\n29735 44630\n89463 100000\n68617 100000\n30860 46341\n73635 100000\n9610 14375\n34499 51790\n96499 100000\n22925 34419\n89347 100000\n87637 100000\n71946 100000\n51581 77406\n19805 29721\n55910 83875\n72930 100000\n68009 100000\n14538 21759\n17790 26693\n94913 100000\n19798 29709\n21108 31680\n25416 38144\n65943 98921\n28100 42186\n11613 17381\n85024 100000\n50428 75682\n12095 18114\n86015 100000\n52142 78252\n7909 11869\n35885 53863\n90892 100000\n89672 100000\n80893 100000\n94755 100000\n39566 59384\n37980 57005\n36810 55228\n2233 3349\n43252 64972\n95783 100000\n81851 100000\n22906 34390\n44201 66386\n36612 54944\n77397 100000\n22715 34102\n25873 38805\n10442 15613\n10865 16264\n39815 59756\n64860 97289\n39720 59615\n9681 14475\n25607 38417\n14265 21355\n54155 81261\n12327 18461\n31115 46726\n27724 41609\n41352 62089\n78410 100000\n35099 52691\n37256 55910\n76769 100000\n48338 72586\n75670 100000\n81213 100000\n18730 28110\n9033 13518\n94363 100000\n93516 100000\n24596 36932\n92622 100000\n883 1329\n97084 100000\n48632 73039\n40527 60821\n74935 100000\n45092 67713\n67887 100000\n72921 100000\n89623 100000\n19265 28903\n38309 57483\n60031 90079\n23432 35175\n8903 13331\n62113 93177\n25162 37775\n36959 55461\n33422 50166\n93060 100000\n4581 6893\n30034 45082\n24895 37378\n44334 66585\n97487 100000\n94041 100000\n46914 70457\n79003 100000\n72939 100000\n97714 100000\n9447 14144\n72514 100000\n22655 34014\n19660 29504\n17583 26371\n43247 64967\n35826 53774\n2852 4279\n18188 27289\n6045 9079\n31278 46960\n89376 100000\n34387 51633\n94084 100000\n50419 75667\n51223 76865\n4853 7288\n50369 75601\n72949 100000\n90504 100000\n94284 100000\n52783 79219\n33956 50992\n56010 84027\n32397 48641\n7672 11522\n86824 100000\n75980 100000\n77956 100000\n44427 66721\n12802 19184\n71442 100000\n55902 83864\n7154 10738\n13534 20272\n74412 100000\n17275 25914\n61357 92041\n81192 100000\n10346 15468\n93027 100000\n15117 22629\n37403 56131\n77200 100000\n22552 33867\n6560 9851\n62867 94315\n85541 100000\n68232 100000\n66522 99780\n95642 100000\n16484 24684\n53019 79564\n30943 46462\n24855 37316\n78610 100000\n79501 100000\n87533 100000\n63143 94723\n96013 100000\n34993 52534\n82150 100000\n40158 60267\n56007 84023\n84961 100000\n74648 100000\n42130 63265\n78323 100000\n38214 57342\n30709 46114\n26885 40339\n83523 100000\n16737 25074\n76083 100000\n72801 100000\n84727 100000\n85468 100000\n7986 11983\n9241 13835\n65102 97651\n72779 100000\n75060 100000\n58370 87594\n24531 36837\n14861 22246\n44828 67310\n12728 19068\n59373 89097\n2093 3136\n74355 100000\n24758 37173\n21525 32305\n87675 100000\n23789 35707\n59190 88817\n72797 100000\n96860 100000\n44137 66286\n23386 35106\n87310 100000\n53290 79954\n32291 48483\n46360 69620\n77454 100000\n75038 100000\n21998 33041\n95556 100000\n94230 100000\n78296 100000\n22066 33144\n87027 100000\n21146 31731\n63385 95074\n91261 100000\n40680 61059\n86472 100000\n1200 1785\n85349 100000\n90534 100000\n36325 54515\n9395 14063\n87127 100000\n89455 100000\n35531 53335\n70417 100000\n53331 80019\n36840 55274\n7091 10646\n82059 100000\n66322 99484\n71435 100000\n12432 18626\n72530 100000\n46708 70153\n50260 75436\n53371 80073\n84932 100000\n31369 47098\n8706 13040\n566 854\n66378 99573\n80813 100000\n66530 99792\n75930 100000\n54665 81995\n23719 35603\n45840 68824\n94481 100000\n56579 84888\n88010 100000\n52544 78848\n86019 100000\n13583 20340\n4048 6106\n43756 65713\n95091 100000\n75309 100000\n87408 100000\n42761 64237\n64192 96287\n48049 72164\n9224 13810\n98578 100000\n85014 100000\n95338 100000\n31434 47198\n859 1294\n98468 100000\n3587 5399\n72365 100000\n22241 33410\n86503 100000\n78492 100000\n17835 26762\n25652 38483\n17227 25835\n24893 37374\n32600 48943\n21281 31936\n58065 87115\n9826 14698\n79048 100000\n95147 100000\n37375 56090\n26200 39306\n87940 100000\n81709 100000\n84264 100000\n7706 11576\n37143 55732\n66418 99631\n24015 36056\n92779 100000\n98391 100000\n32723 49126\n83709 100000\n28842 43299\n4075 6143\n23414 35147\n42693 64130\n53437 80181\n81072 100000\n21518 32293\n96380 100000\n2067 3094\n97861 100000\n12183 18246\n75463 100000\n77104 100000\n70168 100000\n47193 70883\n32340 48558\n44803 67268\n3961 5970\n45884 68894\n75262 100000\n99117 100000\n83066 100000\n98512 100000\n60077 90148\n68735 100000\n35768 53683\n24445 36698\n38101 57181\n78142 100000\n37100 55671\n57835 86766\n61397 92101\n8086 12126\n43320 65075\n68608 100000\n25155 37763\n75235 100000\n11886 17805\n16942 25393\n82363 100000\n20075 30116\n81708 100000\n72738 100000\n31936 47948\n10635 15910\n3864 5819\n52965 79484\n53883 80852\n46317 69551\n28036 42091\n35916 53910\n36165 54274\n43072 64701\n17459 26192\n56005 84021\n85419 100000\n63433 95143\n82730 100000\n21874 32855\n74775 100000\n96824 100000\n28203 42345\n45458 68254\n30985 46531\n32516 48817\n598 905\n67426 100000\n37665 56527\n23072 34645\n40251 60403\n66823 100000\n51057 76624\n22801 34229\n83491 100000\n79312 100000\n14514 21724\n43882 65903\n29392 44118\n99241 100000\n77517 100000\n35238 52902\n9988 14932\n85678 100000\n67073 100000\n28531 42836\n9979 14919\n94542 100000\n84146 100000\n81525 100000\n63300 94946\n67557 100000\n48179 72351\n32145 48263\n22724 34114\n12885 19310\n91776 100000\n61187 91785\n17965 26955\n42039 63132\n45213 67888\n60941 91420\n24979 37508\n2509 3763\n94805 100000\n32061 48138\n10246 15317\n81417 100000\n48471 72794\n5404 8123\n51079 76656\n41168 61805\n18663 28008\n36202 54326\n52115 78212\n50793 76231\n42465 63786\n98751 100000\n22972 34489\n66306 99460\n65051 97573\n35505 53297\n1776 2667\n81787 100000\n23202 34836\n9712 14523\n45888 68899\n66470 99709\n14611 21871\n52306 78483\n8390 12575\n30734 46149\n78242 100000\n79117 100000\n19523 29304\n96139 100000\n81794 100000\n31766 47688\n87712 100000\n53406 80132\n32673 49055\n48106 72242\n33170 49794\n60405 90633\n67531 100000\n34439 51705\n76232 100000\n60939 91417\n79377 100000\n10266 15350\n32514 48814\n8315 12470\n19928 29900\n727 1097\n23811 35742\n1003 1503\n12690 19013\n82390 100000\n19846 29781\n23953 35954\n52198 78330\n56477 84736\n85271 100000\n10773 16126\n24684 37066\n52228 78374\n9934 14858\n6250 9386\n65128 97690\n71697 100000\n78755 100000\n44508 66839\n43875 65892\n96706 100000\n42747 64215\n75695 100000\n67315 100000\n75625 100000\n45180 67840\n24922 37420\n295 446\n28402 42642\n46026 69103\n35945 53953\n98877 100000\n96060 100000\n26220 39336\n92993 100000\n71546 100000\n70248 100000\n89225 100000\n60695 91056\n10952 16392\n31306 47001\n44678 67082\n9423 14110\n936 1407\n88509 100000\n73092 100000\n58831 88290\n97046 100000\n74891 100000\n54175 81288\n14568 21807\n82340 100000\n58208 87343\n31977 48011\n87333 100000\n72174 100000\n91916 100000\n87700 100000\n89638 100000\n2922 4396\n11657 17449\n58935 88446\n93289 100000\n69073 100000\n92829 100000\n67957 100000\n5124 7700\n97728 100000\n64081 96124\n87431 100000\n15236 22811\n85132 100000\n40567 60882\n47842 71853\n22963 34476\n20419 30644\n17964 26953\n3221 4846\n97539 100000\n79023 100000\n27032 40555\n3362 5059\n54109 81192\n30781 46218\n23630 35473\n95715 100000\n38786 58213\n43767 65729\n22569 33891\n49447 74242\n50410 75657\n49947 74970\n24204 36335\n66539 99807\n74787 100000\n56753 85145\n95264 100000\n14304 21410\n74764 100000\n74816 100000\n26393 39601\n3132 4708\n3263 4904\n51459 77220\n52140 78250\n92034 100000\n56117 84190\n76372 100000\n91929 100000\n37177 55787\n27297 40960\n19707 29573\n96556 100000\n64033 96051\n94392 100000\n47168 70847\n87750 100000\n13750 20578\n17401 26101\n32527 48832\n28904 43396\n31651 47513\n59192 88821\n63170 94759\n60972 91462\n48769 73243\n91372 100000\n15472 23180\n82708 100000\n17470 26207\n23873 35829\n32033 48096\n85021 100000\n10001 14952\n63729 95587\n37405 56135\n51316 77003\n17347 26021\n98439 100000\n38556 57859\n70853 100000\n75548 100000\n40212 60342\n66242 99371\n55976 83978\n50746 76159\n87244 100000\n24588 36921\n93678 100000\n53273 79930\n3151 4737\n72301 100000\n76405 100000\n35500 53289\n62493 93757\n71617 100000\n31405 47153\n8593 12872\n5670 8530\n58075 87131\n57047 85597\n30154 45268\n42083 63196\n4172 6279\n16469 24662\n46847 70360\n33627 50480\n44340 66593\n30535 45851\n88436 100000\n41596 62463\n46106 69224\n55373 83066\n96406 100000\n72252 100000\n40634 60987\n29297 43980\n61161 91746\n39169 58787\n85236 100000\n66312 99468\n27510 41291\n79915 100000\n78844 100000\n40269 60432\n72911 100000\n90033 100000\n31796 47736\n1717 2576\n27966 41979\n83714 100000\n67552 100000\n30645 46018\n49974 75009\n55930 83905\n29464 44227\n33354 50069\n21904 32905\n89829 100000\n43323 65080\n87482 100000\n93016 100000\n35731 53625\n93752 100000\n49265 73981\n91066 100000\n31010 46568\n62519 93795\n4856 7293\n69039 100000\n13784 20625\n37601 56438\n25389 38103\n60128 90224\n23424 35161\n18007 27013\n646 979\n82583 100000\n8837 13230\n77635 100000\n92199 100000\n61698 92551\n45330 68059\n34650 52020\n66371 99561\n51362 77073\n86046 100000\n17550 26324\n83186 100000\n16043 24023\n67167 100000\n53512 80300\n43583 65458\n14480 21671\n81678 100000\n14397 21546\n95048 100000\n21168 31764\n92411 100000\n92871 100000\n87963 100000\n78745 100000\n4559 6859\n11625 17399\n20267 30414\n37767 56682\n9685 14483\n77781 100000\n40319 60506\n13733 20551\n52718 79113\n39238 58890\n59128 88725\n37981 57006\n83035 100000\n76144 100000\n34229 51393\n93808 100000\n39863 59832\n73327 100000\n67196 100000\n26144 39212\n86894 100000\n50283 75470\n20714 31085\n13933 20852\n22837 34284\n60174 90293\n58956 88475\n72798 100000\n27333 41012\n68574 100000\n10293 15392\n50635 75988\n1705 2558\n77968 100000\n97243 100000\n41421 62198\n90516 100000\n95301 100000\n54380 81590\n18802 28215\n66785 100000\n36046 54103\n22204 33352\n89828 100000\n23833 35772\n54522 81793\n43817 65800\n87494 100000\n73117 100000\n11493 17202\n50946 76458\n4761 7159\n32278 48465\n97755 100000\n31201 46846\n61140 91714\n77207 100000\n23627 35469\n42383 63662\n10211 15266\n61985 92980\n96283 100000\n30911 46419\n9771 14614\n67431 100000\n17527 26289\n69199 100000\n83280 100000\n98471 100000\n2538 3810\n61545 92329\n69260 100000\n9317 13948\n80558 100000\n72955 100000\n85452 100000\n61668 92507\n21412 32138\n74737 100000\n1921 2881\n88321 100000\n11476 17174\n93668 100000\n72613 100000\n65548 98322\n22366 33584\n30603 45953\n3444 5188\n45470 68274\n12819 19208\n25637 38460\n32958 49475\n5137 7718\n69092 100000\n53021 79567\n65494 98245\n78694 100000\n63320 94978\n66736 100000\n23552 35357\n38142 57243\n88697 100000\n64704 97057\n8375 12552\n40433 60682\n27551 41351\n91045 100000\n281 422\n99335 100000\n80206 100000\n95200 100000\n18930 28399\n66679 100000\n54462 81708\n62602 93925\n94147 100000\n5228 7853\n4376 6592\n54886 82325\n79443 100000\n95500 100000\n79641 100000\n94234 100000\n71983 100000\n14249 21332\n24051 36109\n3354 5046\n35139 52751\n71611 100000\n17805 26717\n85785 100000\n92115 100000\n18109 27169\n68225 100000\n75407 100000\n5008 7526\n10178 15219\n21969 33002\n37954 56966\n81195 100000\n20700 31068\n4905 7373\n36949 55446\n22080 33165\n34819 52279\n32280 48468\n80788 100000\n20016 30024\n59314 89006\n95961 100000\n38661 58015\n65358 98042\n86987 100000\n4316 6496\n88563 100000\n58240 87395\n52950 79464\n7923 11890\n88528 100000\n78723 100000\n90496 100000\n28647 43010\n85322 100000\n39892 59880\n48951 73515\n52170 78292\n21886 32876\n86207 100000\n86833 100000\n42094 63213\n42343 63598\n67074 100000\n30906 46411\n57095 85664\n72818 100000\n42041 63135\n71381 100000\n82186 100000\n3941 5939\n19717 29588\n73595 100000\n73311 100000\n124 189\n27346 41030\n10300 15401\n25180 37801\n1996 2990\n49641 74530\n9108 13632\n91939 100000\n74897 100000\n99591 100000\n58202 87333\n17522 26283\n85076 100000\n83975 100000\n25739 38610\n42868 64393\n99088 100000\n78562 100000\n20644 30987\n1049 1567\n60689 91048\n8701 13032\n1772 2659\n45504 68324\n32889 49377\n80428 100000\n67893 100000\n12625 18917\n30451 45720\n32323 48532\n50378 75611\n39593 59428\n26027 39039\n45191 67855\n34716 52123\n15702 23510\n15511 23234\n87892 100000\n18966 28454\n16212 24276\n57403 86113\n49507 74336\n51556 77365\n84681 100000\n9429 14120\n78062 100000\n57364 86053\n17378 26066\n19245 28871\n38536 57829\n54204 81332\n51021 76569\n51811 77759\n67350 100000\n41709 62636\n52822 79274\n95630 100000\n4536 6822\n51538 77342\n88898 100000\n18266 27404\n74676 100000\n56245 84382\n22016 33069\n87096 100000\n52631 78979\n83835 100000\n63500 95247\n30622 45981\n25183 37806\n50387 75625\n80102 100000\n26663 40000\n33329 50033\n42876 64406\n79309 100000\n61243 91872\n48515 72863\n15780 23630\n38980 58503\n38292 57459\n4088 6162\n7401 11120\n76371 100000\n80006 100000\n27858 41813\n67031 100000\n54617 81929\n12304 18423\n42069 63175\n71958 100000\n388 588\n80754 100000\n13936 20857\n75627 100000\n57383 86081\n65126 97687\n59783 89711\n38421 57651\n56188 84300\n27951 41958\n10885 16293\n82829 100000\n14748 22076\n12772 19136\n80103 100000\n93496 100000\n55865 83807\n33991 51048\n64467 96715\n87534 100000\n63719 95573\n84512 100000\n71999 100000\n78125 100000\n79009 100000\n99417 100000\n62663 94012\n39089 58666\n56877 85326\n31744 47652\n32179 48309\n38523 57808\n28936 43444\n48783 73264\n42623 64022\n34851 52325\n29427 44172\n49053 73664\n75165 100000\n75230 100000\n73646 100000\n60874 91320\n60286 90448\n48356 72613\n98429 100000\n65354 98037\n72060 100000\n82847 100000\n42888 64423\n15985 23934\n60844 91275\n20221 30342\n4128 6218\n67007 100000\n1476 2212\n72351 100000\n25948 38914\n3671 5526\n77827 100000\n19589 29401\n91512 100000\n55647 83490\n18535 27820\n83850 100000\n7348 11034\n36012 54051\n21650 32507\n99150 100000\n57253 85885\n60043 90098\n13840 20710\n25651 38482\n10464 15646\n84038 100000\n39439 59193\n32208 48355\n3155 4743\n72232 100000\n11771 17623\n96022 100000\n30047 45101\n44114 66253\n23211 34849\n70983 100000\n2641 3968\n18078 27121\n58178 87293\n81504 100000\n89473 100000\n50226 75381\n95258 100000\n64625 96939\n92505 100000\n45340 68075\n7783 11688\n85136 100000\n16533 24769\n57844 86779\n44622 67005\n36522 54810\n51624 77472\n7654 11496\n50163 75291\n95702 100000\n95128 100000\n18871 28314\n28122 42216\n25629 38448\n92203 100000\n25860 38787\n22536 33843\n1894 2840\n85921 100000\n73557 100000\n13087 19608\n80318 100000\n24586 36918\n73675 100000\n40494 60771\n82952 100000\n98603 100000\n56006 84022\n20729 31108\n42239 63431\n53143 79748\n84821 100000\n31830 47786\n92249 100000\n74449 100000\n36519 54806\n15735 23557\n38187 57308\n18601 27916\n21270 31919\n41708 62634\n76502 100000\n63695 95537\n42146 63292\n5317 7993\n98533 100000\n63349 95020\n68066 100000\n23405 35132\n15728 23547\n90616 100000\n67236 100000\n72741 100000\n71266 100000\n53372 80074\n37099 55670\n88368 100000\n92144 100000\n9030 13513\n56035 84068\n84870 100000\n72625 100000\n83489 100000\n53651 80507\n69025 100000\n33657 50528\n56406 84626\n83187 100000\n92212 100000\n91195 100000\n46962 70526\n89325 100000\n94425 100000\n76497 100000\n25170 37787\n40697 61087\n66868 100000\n27676 41537\n24254 36400\n48651 73069\n5877 8840\n30612 45966\n85090 100000\n56278 84429\n22454 33715\n17010 25497\n81145 100000\n59921 89915\n59298 88985\n75367 100000\n66646 99958\n73514 100000\n44442 66741\n83967 100000\n62537 93828\n89113 100000\n95671 100000\n98286 100000\n77020 100000\n31762 47682\n46311 69540\n43807 65789\n19762 29654\n52179 78303\n46284 69502\n4268 6420\n96403 100000\n95307 100000\n95196 100000\n24921 37419\n87612 100000\n98032 100000\n36606 54935\n77382 100000\n83244 100000\n35230 52889\n66882 100000\n75172 100000\n16068 24062\n4161 6266\n36271 54432\n69782 100000\n17371 26057\n15843 23718\n95524 100000\n350 532\n41929 62966\n19411 29127\n16179 24224\n39711 59602\n48325 72569\n8504 12743\n8535 12786\n23330 35027\n13158 19714\n97039 100000\n28736 43137\n945 1421\n81699 100000\n27955 41964\n62218 93341\n51704 77595\n31526 47331\n14497 21699\n16216 24282\n28558 42875\n74024 100000\n82796 100000\n98077 100000\n51730 77633\n85335 100000\n24829 37281\n27666 41521\n58898 88400\n2083 3121\n37364 56071\n31091 46692\n28885 43366\n6149 9241\n86051 100000\n36629 54966\n72134 100000\n7466 11217\n84364 100000\n5756 8656\n74357 100000\n80334 100000\n26345 39527\n72424 100000\n54623 81937\n64906 97357\n12384 18548\n74344 100000\n42544 63902\n97005 100000\n98650 100000\n7800 11713\n1592 2384\n53226 79862\n69280 100000\n92011 100000\n6081 9137\n65582 98372\n19186 28786\n51687 77571\n81255 100000\n30668 46052\n77830 100000\n77689 100000\n78696 100000\n94318 100000\n27174 40773\n95437 100000\n27132 40713\n18187 27288\n88996 100000\n62448 93688\n12048 18050\n15460 23162\n33769 50701\n8999 13467\n33078 49656\n51251 76911\n55078 82619\n31876 47859\n97770 100000\n42482 63813\n37649 56507\n87728 100000\n70282 100000\n97964 100000\n9590 14347\n28706 43093\n91222 100000\n85676 100000\n91468 100000\n77109 100000\n71412 100000\n29385 44109\n55459 83202\n29633 44480\n39127 58725\n90003 100000\n96602 100000\n7367 11065\n62511 93783\n43412 65209\n8135 12198\n76782 100000\n44225 66419\n24804 37242\n53516 80307\n47159 70833\n42256 63456\n74745 100000\n1860 2792\n36524 54814\n86482 100000\n68643 100000\n25572 38366\n38652 58000\n10389 15531\n65668 98506\n17500 26250\n16407 24564\n11449 17135\n40138 60236\n12983 19453\n7660 11503\n8072 12106\n26977 40473\n94543 100000\n88655 100000\n16082 24084\n77435 100000\n22105 33205\n41911 62942\n43219 64923\n50052 75121\n68967 100000\n85410 100000\n21400 32120\n54555 81839\n5090 7646\n80650 100000\n68592 100000\n23724 35609\n85015 100000\n8982 13443\n19881 29831\n86104 100000\n98584 100000\n12262 18359\n90855 100000\n692 1047\n87389 100000\n8088 12129\n27046 40577\n86365 100000\n13950 20880\n68303 100000\n51370 77085\n59360 89078\n61974 92962\n42752 64223\n61718 92580\n88497 100000\n34697 52091\n20847 31283\n27710 41589\n93383 100000\n25321 38005\n66672 99995\n5838 8777\n92850 100000\n42662 64080\n81057 100000\n13580 20336\n18761 28154\n52918 79416\n80819 100000\n17209 25809\n90430 100000\n9739 14564\n39884 59867\n85285 100000\n81114 100000\n55633 83468\n93863 100000\n46945 70502\n62481 93738\n67162 100000\n86898 100000\n13718 20528\n9457 14157\n40337 60538\n50348 75570\n64808 97210\n13588 20347\n89035 100000\n14173 21221\n83158 100000\n53584 80407\n78796 100000\n80089 100000\n57385 86083\n59212 88851\n96598 100000\n95537 100000\n47467 71293\n21630 32473\n20914 31390\n90866 100000\n16750 25096\n52218 78359\n11195 16760\n10549 15772\n96489 100000\n72340 100000\n93610 100000\n2451 3677\n89866 100000\n27154 40742\n24441 36693\n18088 27135\n43432 65236\n2958 4452\n64330 96499\n5582 8397\n64220 96328\n78509 100000\n1609 2408\n45395 68158\n59141 88745\n15466 23170\n7388 11097\n72630 100000\n94661 100000\n62411 93631\n34108 51228\n79998 100000\n71710 100000\n29831 44770\n78303 100000\n57052 85604\n14803 22159\n89077 100000\n57426 86145\n18105 27163\n28276 42457\n50775 76205\n21785 32715\n37644 56501\n90450 100000\n24671 37048\n86047 100000\n46925 70475\n70166 100000\n661 1003\n69095 100000\n22018 33073\n52129 78232\n60403 90630\n88787 100000\n39054 58608\n1946 2915\n58820 88274\n58813 88265\n9769 14611\n24899 37385\n2993 4502\n43840 65839\n17131 25682\n45547 68386\n3281 4934\n66155 99238\n34571 51900\n33781 50719\n3884 5850\n42534 63889\n55179 82782\n55263 82903\n44939 67484\n31652 47514\n96899 100000\n52970 79490\n11312 16934\n15627 23401\n33109 49700\n39133 58735\n97159 100000\n49793 74752\n60951 91433\n98529 100000\n93285 100000\n40529 60823\n40099 60179\n45312 68032\n30261 45434\n42690 64126\n71349 100000\n33382 50112\n15036 22511\n95712 100000\n19543 29333\n72611 100000\n1435 2144\n58656 88038\n38009 57046\n47826 71829\n5764 8667\n46514 69864\n52333 78526\n59677 89553\n78387 100000\n28598 42937\n12669 18982\n98400 100000\n11857 17759\n76249 100000\n36296 54469\n67691 100000\n40658 61021\n90214 100000\n99609 100000\n56211 84332\n29008 43556\n28054 42116\n46218 69400\n79240 100000\n10316 15424\n73265 100000\n23744 35639\n43069 64697\n14696 21996\n4599 6918\n51142 76748\n55731 83610\n93835 100000\n46277 69491\n68216 100000\n53188 79811\n71849 100000\n41943 62986\n77721 100000\n19104 28662\n67523 100000\n4451 6694\n27319 40992\n31421 47179\n34812 52268\n56033 84064\n37485 56256\n15656 23446\n47996 72083\n57207 85825\n3844 5785\n91533 100000\n33691 50578\n97761 100000\n68781 100000\n23921 35905\n66760 100000\n77989 100000\n44381 66655\n8864 13270\n62832 94261\n32048 48120\n71137 100000\n81380 100000\n77819 100000\n22802 34230\n89547 100000\n60818 91235\n22339 33548\n84610 100000\n18958 28443\n17314 25972\n47184 70869\n71464 100000\n72441 100000\n82464 100000\n19115 28680\n23655 35507\n47815 71813\n1593 2385\n42225 63411\n27225 40853\n19121 28690\n59375 89101\n96062 100000\n5446 8193\n54476 81729\n52650 79010\n28035 42089\n83631 100000\n36449 54700\n43356 65126\n41098 61697\n62633 93965\n78377 100000\n51846 77806\n71741 100000\n75385 100000\n63783 95667\n85711 100000\n45687 68595\n16940 25390\n26409 39627\n86379 100000\n43656 65562\n56479 84738\n40780 61215\n94808 100000\n83036 100000\n19128 28700\n76380 100000\n98939 100000\n44555 66907\n66592 99882\n66549 99821\n65593 98390\n48257 72460\n42035 63126\n91007 100000\n24287 36450\n86078 100000\n85903 100000\n53605 80440\n52041 78103\n80533 100000\n61559 92351\n23544 35347\n66649 99962\n65161 97741\n25340 38031\n15209 22772\n4189 6306\n16881 25301\n48714 73164\n33968 51012\n96288 100000\n26358 39548\n30844 46315\n12841 19240\n42370 63639\n10920 16344\n58796 88240\n5748 8644\n90946 100000\n71426 100000\n54644 81966\n70014 100000\n2802 4210\n45296 68010\n95811 100000\n55108 82668\n9938 14866\n44491 66813\n1077 1607\n88355 100000\n51693 77580\n14624 21888\n54835 82253\n4576 6885\n87455 100000\n97132 100000\n82490 100000\n60762 91155\n66738 100000\n58526 87830\n1366 2036\n95064 100000\n595 900\n35495 53280\n96337 100000\n72866 100000\n56869 85313\n69341 100000\n33635 50493\n63321 94980\n74893 100000\n58625 87986\n22529 33830\n148 225\n28500 42788\n44955 67507\n98380 100000\n15494 23213\n59348 89058\n57643 86475\n42591 63971\n16058 24047\n36709 55081\n18333 27505\n32244 48411\n11006 16476\n79945 100000\n19616 29441\n72274 100000\n93530 100000\n81117 100000\n25510 38276\n25495 38253\n147 223\n59246 88906\n92466 100000\n41907 62936\n25473 38220\n11732 17567\n48086 72214\n6856 10296\n8688 13013\n32838 49300\n89603 100000\n33089 49671\n9194 13763\n30428 45685\n39094 58672\n88072 100000\n14932 22352\n90361 100000\n36426 54664\n87044 100000\n56275 84426\n55213 82829\n82592 100000\n21647 32502\n82200 100000\n48359 72617\n61969 92955\n80441 100000\n21047 31586\n11725 17556\n18516 27786\n50855 76324\n13911 20818\n6742 10123\n62138 93219\n15715 23530\n83571 100000\n80187 100000\n88849 100000\n13985 20933\n93698 100000\n19048 28574\n63224 94838\n71883 100000\n32662 49037\n88226 100000\n94259 100000\n79944 100000\n84323 100000\n68396 100000\n4024 6069\n17053 25561\n46647 70063\n91683 100000\n13090 19613\n17918 26890\n81303 100000\n96545 100000\n66390 99590\n15623 23396\n57059 85613\n26483 39733\n50766 76190\n88708 100000\n62943 94423\n8654 12959\n97030 100000\n42616 64011\n79050 100000\n82944 100000\n95774 100000\n61342 92020\n41928 62964\n2660 3994\n55765 83660\n54010 81047\n91998 100000\n99022 100000\n39012 58553\n42847 64365\n76267 100000\n30557 45883\n99344 100000\n24080 36151\n59386 89116\n51948 77957\n77842 100000\n8950 13396\n79472 100000\n82071 100000\n14923 22336\n92754 100000\n92366 100000\n97632 100000\n28129 42228\n19784 29689\n3787 5701\n59032 88588\n99892 100000\n50131 75240\n8594 12874\n78138 100000\n30441 45705\n45418 68190\n18597 27910\n31422 47180\n74340 100000\n16378 24521\n64891 97334\n45073 67687\n86456 100000\n14035 21008\n88115 100000\n54603 81908\n82760 100000\n6841 10271\n34136 51262\n53017 79561\n74294 100000\n49145 73808\n4968 7467\n30342 45551\n27385 41093\n49245 73954\n11972 17943\n38173 57287\n94566 100000\n5019 7543\n89645 100000\n53706 80588\n34627 51983\n38216 57345\n50540 75845\n17876 26823\n46619 70023\n77864 100000\n27401 41115\n30900 46401\n1382 2062\n45934 68968\n18817 28236\n365 552\n97225 100000\n36173 54285\n14235 21313\n15705 23516\n39666 59532\n23732 35621\n61407 92116\n90893 100000\n41620 62502\n26884 40338\n35969 53983\n68093 100000\n2466 3700\n72396 100000\n7412 11136\n60977 91470\n30082 45151\n70182 100000\n6455 9695\n54589 81889\n21443 32182\n58798 88243\n65430 98146\n55057 82584\n12878 19297\n57627 86451\n69937 100000\n91453 100000\n6127 9207\n60473 90729\n80933 100000\n11994 17973\n7970 11958\n95116 100000\n84779 100000\n70882 100000\n27348 41033\n41425 62204\n2610 3918\n49623 74504\n26133 39192\n77041 100000\n96277 100000\n77339 100000\n24950 37461\n94160 100000\n79124 100000\n40890 61387\n51643 77503\n73094 100000\n60044 90099\n19984 29980\n49759 74699\n24590 36923\n57177 85781\n26673 40017\n75985 100000\n56626 84963\n7837 11767\n12392 18561\n92915 100000\n12064 18073\n94235 100000\n94531 100000\n56716 85095\n52886 79371\n39329 59027\n64078 96121\n87766 100000\n59647 89504\n34331 51548\n10462 15643\n59764 89684\n61179 91775\n7116 10678\n62527 93810\n1265 1877\n48260 72464\n69141 100000\n64522 96791\n45404 68170\n24948 37458\n22782 34201\n11707 17530\n28242 42403\n74673 100000\n51218 76858\n16577 24840\n46444 69758\n25455 38194\n28116 42210\n8602 12885\n16583 24849\n16993 25473\n82405 100000\n48207 72388\n41264 61952\n39300 58981\n34668 52048\n40726 61130\n40036 60087\n74038 100000\n46694 70135\n65501 98255\n46643 70057\n66287 99434\n58702 88105\n36932 55420\n19726 29600\n90179 100000\n18475 27725\n36793 55201\n61536 92316\n32131 48244\n86108 100000\n62092 93147\n15574 23328\n39901 59893\n4547 6838\n13301 19931\n14344 21471\n4522 6800\n44986 67559\n19264 28902\n31424 47182\n80445 100000\n75726 100000\n59781 89709\n17003 25487\n93281 100000\n93311 100000\n33101 49688\n70271 100000\n39949 59960\n4696 7060\n354 538\n43462 65277\n34974 52508\n23246 34901\n62933 94410\n22575 33900\n89239 100000\n64705 97059\n2243 3362\n43077 64710\n61364 92052\n65470 98210\n70711 100000\n6926 10400\n8053 12083\n67906 100000\n84712 100000\n5476 8239\n18849 28285\n1420 2122\n85214 100000\n40446 60700\n24680 37061\n73013 100000\n59536 89340\n8079 12116\n70789 100000\n6487 9742\n67257 100000\n87179 100000\n8669 12983\n63058 94590\n32076 48161\n66792 100000\n29734 44628\n8462 12682\n91196 100000\n41319 62040\n17983 26980\n80538 100000\n57263 85900\n65046 97566\n11965 17931\n70002 100000\n57560 86350\n25007 37547\n45954 68996\n40014 60053\n14726 22041\n80328 100000\n49742 74674\n9844 14724\n74383 100000\n58659 88044\n10685 15988\n24623 36972\n88163 100000\n3057 4595\n35213 52865\n51360 77070\n45126 67763\n94794 100000\n1744 2617\n61752 92631\n15078 22573\n70322 100000\n82432 100000\n33316 50015\n96702 100000\n12815 19204\n90543 100000\n7347 11032\n87489 100000\n31007 46563\n21897 32893\n29365 44081\n308 467\n81084 100000\n95346 100000\n93719 100000\n35892 53873\n27508 41287\n32796 49237\n77416 100000\n15047 22525\n91329 100000\n78652 100000\n23023 34567\n48101 72234\n84856 100000\n72615 100000\n77180 100000\n62169 93266\n76204 100000\n78954 100000\n49511 74340\n19141 28720\n48724 73179\n37512 56295\n24373 36590\n48370 72637\n74415 100000\n92321 100000\n17080 25604\n12873 19289\n60144 90245\n54507 81772\n86329 100000\n42715 64161\n86539 100000\n72957 100000\n30026 45072\n30301 45492\n21034 31566\n27765 41675\n38954 58460\n59862 89823\n53370 80072\n81720 100000\n26893 40349\n42460 63779\n34750 52173\n18211 27323\n94062 100000\n24160 36273\n12507 18739\n26583 39882\n87725 100000\n12949 19403\n47196 70886\n76742 100000\n85808 100000\n44128 66273\n81992 100000\n62812 94232\n59997 90024\n68921 100000\n71268 100000\n93843 100000\n98629 100000\n60323 90505\n50043 75108\n48648 73064\n59091 88671\n57041 85588\n22827 34269\n64577 96866\n12216 18289\n70010 100000\n59811 89754\n26096 39139\n61358 92043\n41001 61547\n95374 100000\n37077 55639\n77841 100000\n5442 8186\n96447 100000\n81217 100000\n5619 8458\n17833 26758\n25990 38981\n65680 98522\n36054 54114\n11988 17964\n45797 68761\n71183 100000\n16137 24165\n51677 77557\n57479 86224\n3653 5499\n54659 81986\n74777 100000\n27280 40931\n83008 100000\n37444 56193\n1437 2148\n25262 37926\n84723 100000\n94906 100000\n42570 63940\n83682 100000\n60130 90227\n19099 28655\n1448 2167\n19230 28853\n32348 48570\n40858 61335\n99303 100000\n15376 23027\n77298 100000\n26514 39779\n57213 85834\n68266 100000\n47506 71350\n46397 69683\n84007 100000\n58983 88513\n47382 71163\n18821 28240\n47207 70902\n29846 44795\n69751 100000\n80746 100000\n77678 100000\n94925 100000\n26875 40324\n13266 19879\n46811 70308\n44588 66952\n77400 100000\n16276 24373\n64786 97179\n1385 2068\n92407 100000\n22677 34047\n25435 38168\n15649 23434\n88354 100000\n8807 13187\n19671 29521\n3997 6027\n61495 92256\n38955 58462\n53891 80865\n62404 93620\n25675 38517\n84794 100000\n49326 74064\n73834 100000\n36487 54757\n64957 97439\n9324 13960\n90252 100000\n60923 91393\n33542 50358\n93767 100000\n5275 7928\n30696 46095\n86150 100000\n23143 34750\n60355 90555\n38134 57232\n70935 100000\n57993 87000\n91401 100000\n64235 96349\n27296 40958\n63022 94536\n2262 3392\n54248 81399\n73160 100000\n48536 72890\n77850 100000\n25267 37933\n46019 69095\n14646 21923\n69700 100000\n68790 100000\n48231 72419\n41859 62862\n85230 100000\n62370 93571\n53317 79995\n15633 23409\n70379 100000\n98541 100000\n27203 40819\n59028 88580\n60908 91371\n30172 45293\n74929 100000\n62117 93183\n73434 100000\n54365 81569\n68282 100000\n70135 100000\n11199 16766\n21234 31865\n25364 38065\n49819 74793\n81154 100000\n38475 57732\n67994 100000\n92129 100000\n50988 76521\n67806 100000\n84987 100000\n99125 100000\n73867 100000\n68544 100000\n68132 100000\n17855 26792\n17086 25612\n1072 1602\n8943 13387\n99519 100000\n50809 76255\n69058 100000\n31619 47473\n17749 26633\n16051 24036\n66309 99464\n42495 63832\n77682 100000\n68032 100000\n27698 41573\n80545 100000\n49833 74811\n12895 19327\n93325 100000\n76377 100000\n32943 49453\n6622 9939\n75084 100000\n19609 29431\n44274 66494\n87565 100000\n23926 35915\n50885 76366\n11792 17659\n50816 76265\n96061 100000\n25498 38257\n35608 53456\n11403 17064\n23089 34666\n17511 26267\n83210 100000\n44476 66789\n78350 100000\n76389 100000\n56364 84565\n44794 67254\n7957 11939\n1123 1672\n8184 12278\n91136 100000\n33146 49757\n71739 100000\n64750 97125\n42381 63658\n18905 28359\n7630 11461\n99283 100000\n45070 67684\n77342 100000\n95084 100000\n91606 100000\n78270 100000\n72833 100000\n27248 40888\n80637 100000\n3926 5918\n2428 3643\n9051 13545\n34381 51624\n55638 83476\n3339 5022\n28543 42854\n82958 100000\n61732 92601\n80256 100000\n10476 15664\n40805 61251\n19599 29416\n88852 100000\n97199 100000\n14161 21199\n21703 32585\n47772 71745\n32611 48959\n29105 43698\n13376 20045\n92928 100000\n17143 25703\n26806 40219\n44191 66374\n17492 26237\n34251 51426\n72868 100000\n19531 29316\n81765 100000\n86900 100000\n18587 27896\n1398 2090\n20699 31066\n55588 83398\n75997 100000\n45692 68604\n65875 98821\n54490 81749\n65913 98876\n81845 100000\n19218 28833\n69121 100000\n75480 100000\n80271 100000\n85392 100000\n30944 46464\n29256 43928\n56784 85187\n90178 100000\n72932 100000\n45821 68793\n30132 45233\n4860 7299\n21248 31883\n43490 65320\n96626 100000\n80384 100000\n25341 38033\n51395 77124\n51472 77239\n56306 84473\n5444 8190\n14778 22120\n75989 100000\n31628 47485\n7946 11921\n41849 62848\n40786 61222\n54053 81110\n74032 100000\n49898 74907\n9955 14891\n35118 52717\n72125 100000\n60586 90896\n58057 87101\n70195 100000\n4112 6196\n1122 1670\n84251 100000\n47186 70871\n84004 100000\n48369 72635\n98435 100000\n99517 100000\n7183 10784\n42496 63833\n6068 9118\n63821 95722\n4531 6814\n80918 100000\n53993 81020\n28236 42394\n15580 23337\n86907 100000\n77930 100000\n68438 100000\n2728 4099\n37331 56021\n84315 100000\n68883 100000\n95253 100000\n44032 66125\n11508 17224\n27306 40973\n13001 19481\n46037 69120\n9560 14304\n23589 35411\n20535 30828\n13605 20370\n6672 10018\n50341 75561\n35144 52758\n59804 89745\n37315 56000\n43881 65902\n22149 33270\n62950 94431\n48241 72435\n59274 88946\n25695 38542\n70121 100000\n33011 49558\n29863 44823\n62068 93113\n75081 100000\n33500 50290\n74911 100000\n84271 100000\n93023 100000\n8480 12712\n9186 13753\n51244 76899\n70038 100000\n60382 90600\n46161 69308\n45325 68051\n84318 100000\n55390 83092\n74749 100000\n47069 70694\n8468 12691\n14026 20998\n33701 50593\n16040 24018\n92575 100000\n92804 100000\n65746 98624\n94123 100000\n17389 26082\n78179 100000\n47282 71015\n62217 93339\n19280 28924\n68260 100000\n22346 33557\n83465 100000\n60957 91443\n27694 41566\n30953 46481\n52514 78806\n64100 96151\n98799 100000\n42234 63423\n50433 75689\n27391 41102\n8437 12643\n39851 59812\n10417 15574\n85861 100000\n38891 58365\n6748 10132\n87979 100000\n19526 29308\n11566 17310\n27805 41736\n35197 52840\n45402 68168\n93173 100000\n56173 84280\n8324 12483\n77804 100000\n80100 100000\n50577 75902\n32955 49471\n83482 100000\n92362 100000\n2474 3711\n17353 26031\n17828 26752\n79189 100000\n71489 100000\n31080 46675\n10754 16095\n55352 83034\n51077 76652\n84791 100000\n71737 100000\n10231 15297\n12643 18947\n12598 18876\n92491 100000\n89142 100000\n62587 93903\n96825 100000\n14742 22067\n79128 100000\n78739 100000\n3056 4593\n87586 100000\n60108 90195\n13757 20589\n59255 88919\n10411 15565\n3041 4571\n65862 98803\n14041 21015\n23026 34570\n24768 37189\n64703 97056\n71886 100000\n56667 85024\n42554 63917\n28115 42208\n22747 34151\n28613 42960\n76783 100000\n16939 25389\n86484 100000\n39730 59632\n95901 100000\n87239 100000\n14654 21934\n35649 53512\n98649 100000\n23183 34809\n23091 34669\n84717 100000\n94271 100000\n49707 74625\n81441 100000\n24548 36862\n80489 100000\n37346 56043\n64532 96804\n21180 31785\n73994 100000\n97284 100000\n56377 84582\n70385 100000\n82343 100000\n78732 100000\n90037 100000\n31343 47059\n16321 24440\n21793 32727\n83004 100000\n59838 89791\n98362 100000\n48848 73356\n40429 60676\n36526 54818\n96673 100000\n42303 63527\n99000 100000\n38477 57736\n51309 76992\n53582 80404\n95313 100000\n3822 5751\n43140 64807\n7980 11974\n41218 61884\n53683 80551\n75077 100000\n40359 60573\n38710 58094\n8531 12781\n21338 32025\n66251 99382\n42358 63620\n46257 69460\n22960 34471\n96693 100000\n46578 69962\n60503 90774\n79714 100000\n62926 94399\n21069 31617\n35997 54025\n73089 100000\n40274 60438\n82378 100000\n89749 100000\n52220 78362\n92346 100000\n8827 13217\n51301 76980\n81741 100000\n86439 100000\n47322 71073\n69483 100000\n2002 3000\n43627 65518\n66351 99529\n90046 100000\n10980 16436\n50867 76342\n86643 100000\n1232 1831\n12342 18486\n18175 27270\n95758 100000\n51000 76539\n95233 100000\n86362 100000\n34081 51189\n83184 100000\n40678 61056\n27669 41525\n37377 56093\n95318 100000\n23722 35606\n53901 80882\n4970 7470\n91327 100000\n56595 84913\n77764 100000\n69855 100000\n19377 29071\n70547 100000\n49764 74708\n93317 100000\n34483 51769\n17200 25796\n42113 63241\n49837 74816\n44872 67380\n93796 100000\n91217 100000\n19015 28527\n87726 100000\n21274 31925\n36347 54545\n58498 87793\n20946 31435\n6154 9250\n34680 52067\n95317 100000\n18194 27297\n29996 45022\n97180 100000\n59576 89399\n85538 100000\n14079 21074\n47033 70637\n25074 37642\n28108 42198\n78678 100000\n90630 100000\n56576 84885\n88293 100000\n64164 96247\n90599 100000\n85957 100000\n6908 10375\n38238 57379\n58720 88133\n23199 34832\n55828 83752\n69508 100000\n86388 100000\n86744 100000\n62353 93543\n7642 11479\n99844 100000\n97771 100000\n32452 48729\n21101 31668\n34968 52500\n67915 100000\n81543 100000\n70813 100000\n89050 100000\n5202 7812\n23468 35233\n4775 7179\n90080 100000\n88322 100000\n44107 66240\n45709 68628\n43215 64917\n31558 47378\n78399 100000\n83847 100000\n62474 93726\n83410 100000\n64024 96036\n3051 4587\n38298 57467\n53216 79848\n82322 100000\n65276 97914\n54297 81473\n9650 14430\n709 1071\n12408 18587\n95577 100000\n69332 100000\n66471 99710\n71365 100000\n88591 100000\n30074 45142\n53823 80764\n92086 100000\n20953 31446\n2234 3350\n91234 100000\n84636 100000\n67275 100000\n70119 100000\n33681 50562\n82788 100000\n75795 100000\n91277 100000\n38235 57375\n70357 100000\n30551 45874\n70228 100000\n43743 65694\n62495 93760\n1610 2409\n28754 43165\n15608 23376\n35682 53558\n3487 5249\n56744 85136\n98278 100000\n92393 100000\n47647 71562\n42336 63585\n74298 100000\n85629 100000\n94791 100000\n68797 100000\n91667 100000\n60100 90182\n76240 100000\n62919 94386\n36972 55483\n51330 77023\n57478 86223\n90958 100000\n72567 100000\n64557 96839\n19457 29198\n66713 100000\n10399 15546\n72063 100000\n13810 20665\n88527 100000\n88751 100000\n42368 63635\n62939 94418\n93617 100000\n83726 100000\n65204 97805\n6220 9340\n16382 24528\n15025 22495\n25594 38396\n79164 100000\n57766 86655\n78088 100000\n77908 100000\n36316 54502\n33761 50689\n17324 25987\n6485 9739\n80732 100000\n57379 86074\n34185 51331\n75140 100000\n17009 25495\n76927 100000\n35188 52825\n78822 100000\n4506 6778\n53335 80025\n49650 74540\n91922 100000\n73978 100000\n94153 100000\n56885 85336\n74564 100000\n61304 91962\n99240 100000\n13130 19673\n86490 100000\n91388 100000\n45979 69035\n34118 51239\n62619 93948\n53411 80140\n12211 18282\n72643 100000\n21318 31995\n40134 60231\n26951 40437\n75087 100000\n34511 51811\n88740 100000\n48701 73146\n4567 6872\n75472 100000\n37428 56169\n36882 55339\n71930 100000\n95620 100000\n88882 100000\n71803 100000\n6946 10429\n28533 42838\n20747 31132\n86546 100000\n4468 6722\n38793 58225\n31859 47833\n41827 62817\n95293 100000\n9337 13979\n55665 83514\n3855 5805\n4646 6987\n79088 100000\n50440 75700\n93714 100000\n43918 65957\n48802 73292\n78564 100000\n22545 33857\n89144 100000\n80036 100000\n26687 40037\n30189 45325\n25434 38166\n26146 39216\n66406 99612\n87922 100000\n51625 77473\n37726 56618\n20842 31275\n72580 100000\n82806 100000\n98379 100000\n21635 32482\n47612 71510\n8892 13314\n98283 100000\n18085 27132\n17106 25641\n96474 100000\n52610 78948\n45170 67825\n88617 100000\n96880 100000\n79455 100000\n7023 10546\n13377 20046\n75202 100000\n39981 60002\n90232 100000\n57760 86644\n94622 100000\n76489 100000\n68188 100000\n33642 50504\n56609 84936\n1499 2245\n82505 100000\n2212 3318\n31804 47750\n82811 100000\n36400 54625\n80540 100000\n91701 100000\n66809 100000\n53297 79965\n40052 60110\n63165 94753\n35402 53141\n39277 58948\n53731 80626\n17398 26095\n81428 100000\n35093 52681\n15322 22943\n41806 62783\n75444 100000\n42350 63607\n19085 28632\n5082 7636\n54464 81712\n11261 16858\n21490 32251\n3053 4589\n66120 99186\n34470 51750\n68496 100000\n74413 100000\n13303 19934\n69162 100000\n51120 76718\n22967 34482\n64053 96082\n2683 4026\n95813 100000\n48479 72804\n5494 8266\n29077 43654\n33447 50204\n10872 16275\n92464 100000\n50358 75583\n13167 19729\n92936 100000\n31866 47844\n49225 73922\n92062 100000\n12236 18319\n70798 100000\n64066 96102\n48666 73089\n29241 43904\n20962 31459\n32531 48837\n14500 21703\n53806 80739\n6223 9345\n83648 100000\n36010 54047\n17498 26247\n69467 100000\n95641 100000\n45848 68838\n80421 100000\n10357 15482\n44689 67098\n97601 100000\n48193 72371\n71067 100000\n30462 45738\n10241 15312\n90683 100000\n30186 45319\n53064 79629\n67361 100000\n25597 38400\n32456 48736\n37614 56457\n97505 100000\n56420 84651\n86970 100000\n72082 100000\n62870 94320\n49596 74464\n30984 46530\n60808 91220\n5204 7816\n87019 100000\n16924 25366\n27481 41241\n7352 11041\n64809 97211\n21863 32837\n86831 100000\n47466 71292\n47120 70772\n9004 13475\n86524 100000\n24765 37185\n76523 100000\n60572 90875\n27778 41694\n41192 61844\n82718 100000\n26397 39607\n45216 67894\n51072 76646\n10726 16049\n33974 51022\n83865 100000\n55034 82548\n43441 65249\n71667 100000\n77132 100000\n71181 100000\n47636 71545\n30358 45575\n49477 74289\n6022 9044\n81322 100000\n32728 49133\n11157 16701\n74506 100000\n85852 100000\n73774 100000\n80880 100000\n38248 57391\n49154 73822\n70258 100000\n76962 100000\n65316 97978\n16754 25103\n72490 100000\n16372 24514\n9072 13576\n90480 100000\n69676 100000\n36690 55052\n80022 100000\n93578 100000\n3937 5933\n44295 66526\n65103 97653\n48811 73303\n38451 57695\n54079 81146\n66818 100000\n26043 39064\n46522 69875\n79588 100000\n33292 49980\n94722 100000\n85427 100000\n92185 100000\n33708 50602\n89495 100000\n31133 46752\n68028 100000\n46773 70251\n52363 78572\n4975 7478\n60859 91297\n31691 47568\n27968 41983\n92170 100000\n57003 85525\n81575 100000\n84572 100000\n17696 26552\n97102 100000\n28413 42659\n89741 100000\n94765 100000\n56904 85368\n3387 5097\n43824 65812\n23297 34974\n65592 98388\n54584 81882\n16165 24204\n32586 48918\n52239 78389\n33068 49643\n18578 27882\n10792 16153\n81175 100000\n71733 100000\n92456 100000\n88101 100000\n25034 37586\n96121 100000\n2016 3020\n65347 98025\n6051 9089\n99160 100000\n49266 73983\n41567 62419\n55744 83631\n15826 23692\n22662 34024\n30737 46155\n45007 67591\n4215 6343\n55262 82901\n3351 5042\n58660 88046\n40179 60296\n80417 100000\n87466 100000\n2766 4154\n43574 65443\n49453 74250\n90344 100000\n95092 100000\n37731 56627\n32351 48574\n29737 44634\n10607 15865\n68159 100000\n55201 82813\n29103 43695\n97854 100000\n49902 74912\n67879 100000\n16768 25123\n32601 48944\n5512 8291\n38596 57919\n44023 66112\n97326 100000\n25994 38987\n8554 12816\n98220 100000\n95863 100000\n97897 100000\n63344 95013\n81901 100000\n43736 65684\n21589 32406\n72899 100000\n8109 12160\n11915 17852\n21954 32977\n11259 16855\n79178 100000\n22053 33125\n58729 88147\n38311 57486\n81264 100000\n85551 100000\n15710 23524\n1483 2220\n73316 100000\n61941 92914\n21079 31633\n50591 75922\n39129 58728\n88131 100000\n29270 43943\n7206 10822\n37197 55818\n58728 88146\n53965 80977\n89599 100000\n24396 36624\n64240 96357\n36850 55289\n95894 100000\n89977 100000\n45521 68351\n68672 100000\n45943 68981\n51292 76971\n26071 39107\n18981 28479\n84353 100000\n22660 34022\n55444 83179\n59817 89762\n48795 73282\n22209 33358\n47396 71187\n3096 4654\n60097 90177\n30811 46263\n28111 42202\n20528 30818\n36240 54382\n97891 100000\n90083 100000\n46055 69147\n35630 53488\n80514 100000\n49990 75034\n39673 59543\n26269 39409\n1827 2743\n98504 100000\n66051 99081\n87 136\n10774 16128\n66647 99959\n91624 100000\n29611 44446\n92606 100000\n78052 100000\n33059 49632\n73551 100000\n95766 100000\n64890 97332\n82671 100000\n35736 53634\n28697 43082\n94901 100000\n41376 62128\n191 293\n53104 79688\n60370 90579\n85583 100000\n41992 63059\n71600 100000\n2718 4084\n88215 100000\n89292 100000\n38193 57315\n7224 10852\n74679 100000\n85493 100000\n38272 57429\n97690 100000\n303 458\n84825 100000\n59603 89436\n86283 100000\n6656 9997\n63826 95730\n71585 100000\n69852 100000\n69663 100000\n813 1223\n78913 100000\n86130 100000\n10191 15234\n96048 100000\n37281 55948\n23349 35054\n59484 89261\n25604 38413\n36908 55382\n6863 10308\n95186 100000\n86107 100000\n38969 58484\n18142 27217\n3050 4586\n20810 31230\n5154 7743\n38247 57390\n44478 66791\n12492 18713\n64971 97457\n60409 90639\n86133 100000\n2406 3612\n35038 52603\n40717 61118\n24791 37222\n16027 23996\n7287 10943\n40929 61441\n58635 88003\n41657 62556\n45947 68987\n72040 100000\n85888 100000\n9706 14515\n32020 48076\n28938 43448\n77011 100000\n50884 76365\n51091 76675\n50113 75214\n36190 54310\n75067 100000\n23648 35497\n90392 100000\n43513 65351\n97658 100000\n24195 36322\n92293 100000\n97580 100000\n92760 100000\n23457 35217\n12189 18254\n33437 50191\n51808 77755\n81827 100000\n94557 100000\n62927 94400\n53262 79914\n63086 94636\n44298 66530\n5956 8950\n94375 100000\n36105 54188\n4284 6445\n10500 15703\n76292 100000\n72405 100000\n34529 51839\n52389 78612\n15179 22725\n64601 96905\n30100 45180\n12301 18417\n77681 100000\n63706 95555\n53328 80014\n13261 19871\n25056 37619\n85288 100000\n8127 12185\n93002 100000\n15337 22967\n80260 100000\n93409 100000\n81753 100000\n16482 24681\n11471 17168\n594 899\n21756 32668\n20053 30083\n66034 99055\n51839 77797\n6575 9874\n48477 72802\n22559 33877\n80737 100000\n72288 100000\n56283 84437\n950 1428\n84474 100000\n70103 100000\n64027 96040\n25226 37874\n6159 9258\n68030 100000\n94450 100000\n92696 100000\n31102 46705\n39033 58583\n79184 100000\n71909 100000\n29452 44210\n13432 20123\n51514 77302\n24026 36074\n7810 11728\n42027 63115\n80582 100000\n37684 56558\n6247 9382\n48722 73176\n61347 92028\n84013 100000\n61700 92554\n6336 9518\n64307 96465\n95616 100000\n95405 100000\n385 584\n37832 56781\n63625 95431\n47992 72077\n57870 86820\n60885 91337\n75629 100000\n17096 25627\n36699 55066\n31465 47247\n66013 99026\n90434 100000\n38846 58298\n41184 61830\n39829 59777\n61924 92889\n39143 58746\n81929 100000\n98134 100000\n2581 3873\n8173 12259\n17124 25671\n645 977\n87618 100000\n31205 46852\n63836 95745\n71279 100000\n91054 100000\n28280 42462\n51572 77392\n37410 56142\n50235 75395\n5916 8893\n67576 100000\n12288 18398\n56850 85288\n35928 53927\n43326 65084\n21578 32386\n76952 100000\n35302 52995\n84429 100000\n13496 20214\n50630 75980\n28088 42168\n71651 100000\n78431 100000\n90806 100000\n195 299\n5465 8219\n22282 33470\n80287 100000\n36625 54961\n39004 58541\n65728 98599\n54390 81603\n11052 16548\n59998 90025\n15853 23734\n17335 26003\n26974 40469\n64555 96836\n82238 100000\n94528 100000\n39179 58801\n12175 18232\n90293 100000\n15629 23404\n84852 100000\n10671 15964\n29278 43952\n69674 100000\n77688 100000\n18348 27530\n52165 78285\n9724 14542\n44844 67337\n65829 98746\n40651 61011\n71354 100000\n79930 100000\n79856 100000\n34051 51142\n61823 92738\n41435 62217\n48119 72261\n16532 24767\n83547 100000\n31502 47296\n72067 100000\n87293 100000\n1032 1544\n80221 100000\n99222 100000\n82282 100000\n29508 44290\n93217 100000\n29081 43660\n50650 76012\n35439 53201\n6453 9692\n20438 30677\n88105 100000\n98234 100000\n80135 100000\n81025 100000\n65440 98160\n63571 95354\n73464 100000\n6439 9671\n16244 24323\n58 87\n47018 70614\n65508 98264\n38352 57548\n11112 16633\n54937 82406\n23794 35715\n77181 100000\n51894 77877\n52995 79527\n29971 44987\n26848 40286\n84059 100000\n28001 42033\n70212 100000\n30795 46240\n92540 100000\n7363 11059\n1161 1729\n35569 53391\n26824 40248\n17166 25741\n54110 81194\n25258 37922\n91749 100000\n40716 61117\n49896 74903\n81665 100000\n30068 45134\n26845 40281\n40948 61467\n79531 100000\n72860 100000\n1379 2056\n77730 100000\n35325 53031\n80377 100000\n17678 26523\n39142 58745\n84008 100000\n48087 72215\n54674 82007\n91963 100000\n30723 46133\n20314 30484\n52277 78444\n99129 100000\n8009 12014\n94893 100000\n68234 100000\n89014 100000\n10845 16234\n70513 100000\n45475 68283\n67141 100000\n30446 45713\n56562 84864\n40829 61286\n27664 41518\n75811 100000\n31990 48029\n52177 78301\n69505 100000\n26356 39545\n38211 57338\n81759 100000\n24763 37182\n10703 16016\n61280 91925\n79495 100000\n28409 42651\n28047 42108\n15286 22884\n17685 26533\n66852 100000\n29187 43823\n18476 27726\n72733 100000\n48750 73214\n63651 95473\n42307 63535\n78651 100000\n58221 87364\n43573 65441\n6651 9990\n513 773\n89851 100000\n87150 100000\n41049 61620\n63879 95809\n58172 87284\n841 1268\n49401 74171\n91024 100000\n62670 94022\n20251 30386\n73263 100000\n60436 90678\n36214 54344\n88204 100000\n76966 100000\n2496 3743\n98489 100000\n18613 27936\n51782 77713\n53324 80006\n2256 3381\n20337 30518\n23909 35886\n42281 63494\n73206 100000\n28357 42574\n6313 9482\n40175 60290\n63613 95415\n75362 100000\n20720 31094\n8175 12261\n1799 2700\n88153 100000\n10239 15309\n39895 59884\n34969 52501\n21151 31740\n76550 100000\n36118 54207\n80099 100000\n14944 22370\n49209 73900\n42634 64039\n98862 100000\n67498 100000\n89965 100000\n99925 100000\n8722 13061\n66905 100000\n63812 95709\n66332 99499\n37112 55687\n85334 100000\n66438 99663\n11239 16822\n38700 58078\n62274 93427\n66005 99014\n45916 68943\n99423 100000\n88035 100000\n69685 100000\n29966 44980\n83471 100000\n63656 95480\n70934 100000\n35221 52876\n91218 100000\n57250 85882\n88880 100000\n75355 100000\n15437 23123\n95041 100000\n84223 100000\n19869 29815\n90124 100000\n23071 34643\n40878 61366\n32125 48234\n92297 100000\n12146 18190\n23701 35574\n9618 14386\n14143 21174\n50556 75871\n33452 50213\n83261 100000\n3326 5003\n46443 69756\n73104 100000\n68571 100000\n82012 100000\n64610 96917\n63592 95386\n8545 12802\n35966 53980\n29494 44272\n29762 44669\n2816 4227\n84126 100000\n81364 100000\n26969 40463\n63190 94787\n63818 95717\n25214 37855\n19376 29070\n56546 84841\n80909 100000\n69712 100000\n86298 100000\n57979 86980\n14605 21860\n79416 100000\n13644 20421\n83115 100000\n52371 78584\n58530 87836\n33211 49852\n83182 100000\n51802 77745\n76404 100000\n60271 90426\n35829 53779\n39193 58820\n60167 90281\n87868 100000\n15762 23602\n49693 74605\n6858 10300\n39926 59926\n35 53\n84321 100000\n36902 55373\n85973 100000\n93274 100000\n11390 17046\n35262 52939\n22605 33946\n13201 19779\n4164 6269\n81474 100000\n14119 21136\n34791 52233\n13701 20507\n25685 38529\n74700 100000\n33494 50279\n49859 74851\n83047 100000\n56668 85026\n57117 85693\n69665 100000\n95621 100000\n95335 100000\n91262 100000\n57507 86271\n31662 47529\n99814 100000\n45880 68888\n98053 100000\n19799 29710\n84803 100000\n70036 100000\n67367 100000\n46822 70325\n86263 100000\n31743 47650\n94015 100000\n6400 9611\n38372 57573\n77134 100000\n57445 86171\n43327 65086\n35300 52993\n16160 24198\n13551 20296\n99926 100000\n59045 88605\n70718 100000\n13215 19800\n99918 100000\n18160 27248\n59698 89582\n63739 95602\n9992 14938\n98614 100000\n98515 100000\n27992 42021\n78070 100000\n65787 98686\n25667 38505\n85242 100000\n96272 100000\n14852 22231\n99958 100000\n62026 93041\n71439 100000\n58044 87078\n77822 100000\n2800 4207\n33024 49578\n65329 97997\n23184 34811\n80600 100000\n70080 100000\n21683 32554\n43212 64912\n95904 100000\n68930 100000\n67987 100000\n39716 59608\n8570 12838\n35334 53045\n50922 76421\n13321 19961\n30290 45477\n12863 19275\n48321 72562\n96036 100000\n96289 100000\n74672 100000\n66220 99340\n29293 43975\n18837 28267\n9905 14815\n44165 66333\n66161 99247\n75291 100000\n26450 39687\n61375 92067\n19899 29858\n88520 100000\n3990 6016\n7941 11913\n87800 100000\n36713 55088\n24737 37140\n18969 28460\n91816 100000\n89253 100000\n33371 50094\n8294 12441\n69431 100000\n73618 100000\n66575 99856\n4158 6261\n33187 49817\n9705 14513\n32647 49015\n99181 100000\n19171 28767\n78947 100000\n1538 2302\n30659 46040\n32893 49382\n24941 37448\n92747 100000\n15587 23347\n31131 46749\n10375 15511\n66170 99262\n17852 26787\n28715 43104\n97903 100000\n4233 6366\n4952 7445\n43901 65932\n47854 71871\n43100 64744\n21345 32034\n21847 32812\n59863 89824\n84634 100000\n65898 98852\n76408 100000\n82373 100000\n19929 29902\n24263 36413\n45460 68257\n67648 100000\n68758 100000\n28562 42880\n25353 38047\n88158 100000\n41520 62346\n19699 29562\n83636 100000\n62282 93439\n93165 100000\n87428 100000\n20934 31416\n10484 15677\n16773 25129\n50001 75051\n57636 86464\n31207 46855\n2025 3035\n79509 100000\n54550 81833\n4549 6842\n64356 96538\n90947 100000\n55921 83892\n66485 99731\n82941 100000\n54278 81443\n44500 66826\n28396 42634\n97944 100000\n29223 43877\n16842 25239\n55143 82725\n54608 81916\n5098 7660\n88752 100000\n66210 99325\n39055 58610\n37973 56995\n72592 100000\n4373 6587\n46935 70488\n54769 82153\n82656 100000\n86756 100000\n63373 95057\n87057 100000\n33782 50720\n49610 74484\n74959 100000\n91341 100000\n99055 100000\n85495 100000\n53594 80423\n31840 47803\n32161 48285\n40736 61147\n84097 100000\n67386 100000\n54433 81662\n81005 100000\n24200 36329\n56357 84553\n45291 68000\n80137 100000\n12326 18460\n89661 100000\n64157 96236\n64562 96846\n98219 100000\n82626 100000\n89244 100000\n21019 31539\n43814 65797\n7560 11355\n86082 100000\n27003 40510\n52242 78393\n44231 66429\n73267 100000\n64607 96913\n78232 100000\n98713 100000\n85948 100000\n69064 100000\n23782 35695\n61934 92904\n94442 100000\n21714 32601\n41593 62458\n13168 19730\n61389 92087\n4436 6676\n94860 100000\n46628 70037\n26309 39472\n67192 100000\n51005 76544\n78565 100000\n66361 99544\n31479 47266\n79332 100000\n54070 81133\n17103 25636\n15340 22972\n31753 47667\n95440 100000\n58997 88538\n8277 12414\n26398 39609\n68599 100000\n85545 100000\n6750 10135\n5186 7789\n19365 29054\n45543 68381\n75990 100000\n43558 65416\n68480 100000\n94789 100000\n65113 97667\n75310 100000\n79957 100000\n88198 100000\n26143 39210\n56083 84138\n51040 76598\n8231 12346\n46144 69280\n13796 20644\n74011 100000\n21361 32058\n33426 50172\n67919 100000\n43619 65506\n99577 100000\n16404 24559\n1783 2677\n65357 98040\n54300 81478\n23810 35740\n53934 80933\n68915 100000\n56224 84350\n41462 62259\n29872 44837\n85190 100000\n29694 44570\n99970 100000\n95210 100000\n37531 56324\n39563 59379\n56099 84162\n83403 100000\n20491 30761\n41794 62768\n11753 17599\n8339 12502\n74281 100000\n50041 75105\n97144 100000\n7404 11124\n66107 99165\n23281 34952\n26405 39620\n53688 80560\n72350 100000\n35845 53802\n86467 100000\n23275 34944\n23247 34902\n43254 64975\n79294 100000\n73701 100000\n92519 100000\n90396 100000\n69559 100000\n19328 28997\n88135 100000\n15464 23168\n38627 57963\n3819 5747\n77778 100000\n91662 100000\n33619 50467\n12085 18101\n14270 21362\n86566 100000\n63655 95478\n35973 53989\n44861 67365\n89803 100000\n78572 100000\n8343 12508\n59910 89895\n59653 89513\n91154 100000\n67729 100000\n703 1063\n56352 84546\n1840 2765\n60283 90444\n89633 100000\n41047 61617\n92419 100000\n71815 100000\n28408 42649\n87658 100000\n53715 80601\n34784 52225\n93833 100000\n99698 100000\n29083 43664\n35924 53920\n45641 68527\n65846 98775\n66973 100000\n13618 20385\n6792 10199\n56932 85411\n24619 36967\n41785 62753\n80205 100000\n27298 40961\n33415 50158\n21906 32908\n6218 9338\n77876 100000\n15189 22742\n62586 93902\n6729 10103\n32226 48384\n95239 100000\n7109 10670\n29541 44344\n45635 68518\n8304 12453\n2379 3571\n4207 6330\n51425 77170\n51266 76933\n38665 58021\n95283 100000\n62866 94314\n61618 92434\n83117 100000\n13020 19513\n35485 53266\n71306 100000\n68649 100000\n99836 100000\n56031 84060\n61733 92602\n3525 5307\n99251 100000\n86746 100000\n35873 53844\n15618 23390\n85307 100000\n73148 100000\n25989 38979\n87513 100000\n869 1307\n140 214\n81395 100000\n82830 100000\n47363 71135\n90568 100000\n38396 57612\n71978 100000\n8642 12941\n16547 24790\n11645 17430\n22942 34444\n59521 89318\n37534 56329\n33611 50456\n7392 11102\n51513 77301\n65334 98005\n91891 100000\n91852 100000\n48529 72880\n78962 100000\n18392 27599\n78108 100000\n13880 20773\n92628 100000\n79797 100000\n22102 33201\n17643 26468\n95265 100000\n73009 100000\n6505 9771\n35701 53583\n74319 100000\n3979 6000\n78929 100000\n78780 100000\n42530 63882\n31888 47877\n34398 51648\n24784 37213\n98405 100000\n38911 58394\n82934 100000\n46219 69402\n91038 100000\n50799 76240\n49446 74240\n22040 33107\n64324 96490\n45765 68714\n90973 100000\n74148 100000\n57434 86154\n96142 100000\n7961 11946\n46040 69125\n86860 100000\n49114 73760\n67952 100000\n5938 8923\n69913 100000\n60830 91256\n70999 100000\n62615 93941\n56604 84929\n73184 100000\n49223 73920\n54389 81602\n34268 51451\n55433 83164\n48229 72416\n25874 38806\n8789 13160\n58946 88460\n27903 41885\n17320 25982\n22879 34344\n59251 88913\n4379 6597\n73074 100000\n82116 100000\n20799 31212\n81526 100000\n31129 46747\n2470 3705\n69128 100000\n47294 71034\n91902 100000\n49860 74853\n39996 60023\n12397 18570\n7281 10934\n64619 96929\n87261 100000\n43483 65308\n31094 46695\n6069 9119\n79292 100000\n47638 71548\n40383 60607\n17519 26279\n52154 78270\n76692 100000\n69479 100000\n35147 52763\n85748 100000\n46560 69935\n35737 53636\n25145 37750\n66644 99954\n88113 100000\n42851 64369\n95178 100000\n43692 65618\n96462 100000\n81266 100000\n26829 40256\n10363 15492\n99657 100000\n58472 87754\n64419 96637\n40565 60879\n6100 9167\n81219 100000\n89721 100000\n58344 87553\n66125 99194\n40444 60697\n14323 21439\n16402 24556\n63897 95837\n31229 46890\n40986 61521\n24493 36779\n63223 94836\n83411 100000\n84781 100000\n25960 38931\n26 40\n1390 2078\n73404 100000\n68434 100000\n58487 87778\n27088 40646\n19130 28703\n38218 57349\n73454 100000\n54802 82202\n98414 100000\n27830 41772\n11907 17839\n6241 9372\n29200 43843\n89503 100000\n22280 33468\n47220 70920\n79396 100000\n75882 100000\n1250 1855\n20562 30866\n73705 100000\n21002 31516\n87918 100000\n70432 100000\n38200 57324\n41983 63047\n65838 98761\n5081 7635\n31235 46896\n77665 100000\n1733 2602\n69564 100000\n7207 10824\n15190 22743\n24962 37482\n33335 50043\n15871 23761\n44974 67538\n78756 100000\n79029 100000\n99446 100000\n63161 94748\n78383 100000\n65700 98553\n56583 84894\n77268 100000\n81009 100000\n41958 63009\n59582 89407\n7212 10832\n77493 100000\n19917 29884\n96249 100000\n83527 100000\n74064 100000\n41857 62858\n59969 89984\n63995 95991\n84996 100000\n53507 80292\n43552 65406\n42300 63523\n2819 4232\n44589 66954\n85764 100000\n50098 75190\n31188 46830\n18280 27427\n33064 49637\n66742 100000\n94577 100000\n71844 100000\n38208 57334\n64514 96779\n71 109\n64744 97115\n99284 100000\n2064 3089\n72887 100000\n28807 43243\n11114 16636\n40474 60739\n78200 100000\n89539 100000\n58479 87766\n14376 21519\n10573 15813\n23647 35496\n81545 100000\n18025 27041\n66537 99803\n30027 45073\n90562 100000\n33226 49875\n41115 61725\n7365 11062\n38512 57790\n43913 65949\n47668 71593\n13899 20800\n61592 92397\n45491 68306\n31462 47243\n27589 41405\n87650 100000\n80374 100000\n75320 100000\n25620 38435\n78832 100000\n32737 49148\n47139 70798\n53391 80107\n42475 63802\n28090 42171\n48879 73402\n89416 100000\n43834 65828\n38727 58119\n43806 65788\n24926 37427\n85339 100000\n72346 100000\n17263 25895\n26763 40154\n80977 100000\n56026 84052\n43783 65753\n20959 31454\n5412 8135\n75961 100000\n10991 16454\n28585 42915\n35669 53541\n4606 6926\n53352 80046\n85101 100000\n97966 100000\n79085 100000\n20717 31090\n67487 100000\n66920 100000\n81315 100000\n68218 100000\n98851 100000\n29414 44152\n20666 31018\n88559 100000\n32962 49481\n22359 33575\n24699 37088\n52690 79071\n57561 86352\n76658 100000\n92223 100000\n43864 65873\n61440 92167\n91503 100000\n49088 73718\n83378 100000\n99349 100000\n25882 38816\n2461 3693\n16491 24696\n71583 100000\n21187 31796\n63174 94764\n19804 29719\n84185 100000\n52458 78719\n15442 23131\n2915 4383\n86669 100000\n4983 7488\n89706 100000\n86355 100000\n44393 66673\n84949 100000\n78180 100000\n48226 72412\n20612 30946\n72705 100000\n97892 100000\n95716 100000\n30721 46131\n51555 77364\n35468 53243\n25055 37617\n51010 76550\n26223 39339\n81071 100000\n4148 6245\n82129 100000\n16094 24102\n94419 100000\n76999 100000\n4824 7245\n41722 62657\n25733 38599\n19734 29612\n18182 27280\n83121 100000\n58808 88256\n75453 100000\n27310 40978\n60805 91215\n64584 96878\n88803 100000\n41206 61866\n97675 100000\n81450 100000\n3314 4984\n29423 44166\n64481 96738\n17499 26248\n17902 26865\n53825 80768\n47353 71119\n3790 5704\n1690 2533\n33534 50343\n65200 97798\n76153 100000\n64507 96771\n94961 100000\n87486 100000\n74125 100000\n23775 35685\n83739 100000\n43007 64605\n71579 100000\n1724 2588\n40991 61529\n91825 100000\n67096 100000\n98341 100000\n49377 74132\n65422 98134\n78321 100000\n61787 92680\n586 886\n75056 100000\n12453 18656\n76158 100000\n64576 96865\n54870 82302\n9443 14138\n37899 56881\n73379 100000\n36865 55314\n23487 35263\n34000 51062\n8747 13100\n24363 36573\n9233 13824\n21500 32269\n6643 9976\n26124 39177\n84621 100000\n63501 95248\n48603 72998\n33942 50972\n13030 19525\n50485 75764\n92066 100000\n29552 44362\n80164 100000\n72924 100000\n47745 71708\n5328 8008\n82144 100000\n52119 78218\n54842 82264\n73436 100000\n18793 28203\n28227 42381\n46249 69449\n72812 100000\n26534 39810\n805 1210\n58448 87715\n6335 9517\n52469 78736\n74052 100000\n76753 100000\n37253 55905\n62492 93756\n24394 36621\n90345 100000\n95493 100000\n23918 35900\n76401 100000\n71551 100000\n2058 3082\n80549 100000\n50696 76074\n24968 37492\n16423 24592\n3596 5411\n92735 100000\n78593 100000\n95668 100000\n65400 98098\n88326 100000\n71465 100000\n98850 100000\n77194 100000\n98998 100000\n91409 100000\n3425 5159\n10059 15038\n15138 22660\n57614 86431\n83669 100000\n72993 100000\n19833 29763\n96624 100000\n62515 93787\n17746 26627\n17182 25769\n60373 90585\n87953 100000\n78408 100000\n83892 100000\n22506 33797\n76970 100000\n13136 19681\n33921 50940\n8190 12288\n57075 85635\n92954 100000\n67712 100000\n55391 83094\n24005 36039\n12130 18169\n1647 2466\n13923 20837\n14275 21368\n12420 18606\n63243 94863\n38027 57070\n28811 43250\n3095 4653\n38250 57394\n59029 88582\n63947 95916\n39362 59078\n10348 15470\n12761 19116\n80723 100000\n49872 74871\n94835 100000\n36123 54214\n29990 45014\n15647 23430\n73674 100000\n98420 100000\n14506 21713\n8191 12290\n67178 100000\n48405 72693\n3904 5882\n20237 30366\n88725 100000\n41274 61969\n71495 100000\n61534 92312\n47716 71666\n16820 25206\n55787 83693\n17055 25565\n98881 100000\n19423 29146\n13993 20945\n23764 35668\n84108 100000\n77522 100000\n91663 100000\n73559 100000\n1418 2119\n52369 78581\n41227 61896\n69085 100000\n98800 100000\n65534 98302\n64813 97217\n17140 25698\n94764 100000\n90751 100000\n5702 8580\n43780 65748\n6921 10393\n27373 41075\n22816 34252\n69694 100000\n96396 100000\n62579 93893\n96838 100000\n72333 100000\n83988 100000\n83630 100000\n18999 28506\n5514 8294\n54474 81726\n26149 39222\n51599 77434\n59662 89528\n59813 89757\n76305 100000\n81652 100000\n92229 100000\n48653 73071\n62466 93714\n37639 56493\n35122 52722\n91803 100000\n21636 32484\n92218 100000\n36611 54942\n37820 56764\n27407 41124\n35611 53460\n65729 98600\n64414 96629\n72888 100000\n80727 100000\n59320 89015\n77067 100000\n54479 81734\n65517 98277\n45912 68938\n79243 100000\n93897 100000\n47701 71643\n1710 2565\n71403 100000\n47334 71091\n71563 100000\n84537 100000\n97927 100000\n55679 83531\n62902 94363\n29323 44020\n24101 36187\n1513 2266\n78277 100000\n47491 71331\n7325 11003\n97441 100000\n46769 70245\n89598 100000\n37427 56168\n38457 57704\n792 1190\n63489 95229\n82401 100000\n73254 100000\n23208 34843\n99937 100000\n2931 4411\n82610 100000\n77906 100000\n55339 83017\n11670 17470\n39545 59349\n76877 100000\n16861 25268\n28395 42633\n17464 26200\n41066 61645\n45905 68926\n81915 100000\n10159 15191\n14068 21054\n25394 38109\n54822 82232\n57256 85889\n7737 11625\n70434 100000\n62998 94503\n57587 86389\n96854 100000\n57610 86424\n12454 18657\n73342 100000\n46813 70311\n7055 10594\n25107 37690\n9580 14332\n4756 7152\n18913 28374\n54385 81596\n91854 100000\n92673 100000\n55460 83203\n75004 100000\n88731 100000\n65499 98252\n20986 31492\n12437 18633\n67259 100000\n7137 10709\n34326 51542\n32966 49488\n97999 100000\n25080 37652\n64227 96336\n46294 69515\n15187 22738\n73174 100000\n65963 98955\n63732 95591\n42548 63908\n10859 16256\n32388 48628\n50530 75830\n51282 76956\n59840 89793\n48029 72135\n62278 93434\n45209 67881\n50976 76503\n63956 95931\n89439 100000\n55288 82939\n73754 100000\n13931 20849\n50399 75641\n74190 100000\n78854 100000\n76508 100000\n99280 100000\n97104 100000\n10273 15358\n90435 100000\n68842 100000\n4183 6296\n26259 39396\n97219 100000\n81144 100000\n63658 95483\n96576 100000\n51191 76820\n71867 100000\n80047 100000\n6633 9957\n46854 70371\n66137 99214\n9971 14909\n24486 36768\n47247 70965\n32938 49447\n70905 100000\n53989 81013\n15958 23889\n54035 81084\n69501 100000\n20178 30274\n26273 39416\n66544 99814\n60947 91428\n93346 100000\n13948 20876\n48516 72865\n70134 100000\n6700 10059\n58688 88085\n6052 9091\n22500 33787\n76243 100000\n67395 100000\n6484 9737\n42858 64379\n92661 100000\n77749 100000\n52788 79226\n1649 2469\n89447 100000\n53103 79686\n9710 14520\n81805 100000\n9016 13493\n4501 6768\n77196 100000\n85646 100000\n79381 100000\n76846 100000\n11201 16769\n81811 100000\n43470 65288\n31027 46593\n11731 17565\n88257 100000\n86843 100000\n63438 95151\n75511 100000\n78984 100000\n95684 100000\n80606 100000\n35676 53551\n16026 23994\n85569 100000\n83322 100000\n76361 100000\n90928 100000\n12939 19388\n40013 60051\n25388 38101\n28927 43431\n93647 100000\n33902 50911\n74382 100000\n14382 21526\n4165 6270\n57150 85738\n56673 85033\n25208 37845\n37864 56829\n93815 100000\n62531 93816\n42624 64023\n63914 95863\n78144 100000\n40597 60929\n44473 66786\n30871 46356\n99385 100000\n52385 78605\n40968 61493\n49481 74296\n56653 85003\n83415 100000\n14785 22131\n50102 75197\n79925 100000\n11105 16624\n56400 84617\n89340 100000\n3849 5795\n32663 49038\n91660 100000\n96635 100000\n14899 22303\n16500 24711\n31486 47277\n77847 100000\n99570 100000\n55095 82648\n84154 100000\n38798 58232\n95024 100000\n97475 100000\n85395 100000\n25955 38923\n56363 84563\n34608 51952\n3965 5977\n23397 35121\n85384 100000\n63926 95882\n33082 49662\n97555 100000\n79892 100000\n51764 77682\n35347 53065\n78201 100000\n15205 22766\n97188 100000\n57079 85642\n66047 99073\n54840 82260\n26267 39406\n72240 100000\n9296 13918\n36182 54297\n3757 5652\n16894 25320\n44880 67394\n89051 100000\n53198 79824\n59193 88822\n92943 100000\n13792 20638\n62167 93264\n43045 64665\n51490 77265\n68374 100000\n23378 35095\n39648 59505\n65166 97749\n31059 46643\n28215 42362\n68988 100000\n47488 71327\n37002 55532\n57725 86594\n19495 29259\n33161 49781\n99532 100000\n66768 100000\n46746 70208\n5376 8079\n30818 46274\n25374 38079\n50050 75119\n53047 79602\n11355 16997\n1443 2158\n71653 100000\n46000 69068\n59761 89679\n93365 100000\n59908 89891\n12809 19195\n35711 53597\n56977 85481\n41464 62263\n82463 100000\n44571 66928\n99987 100000\n44568 66925\n49869 74866\n26334 39511\n22937 34437\n70174 100000\n64594 96895\n99563 100000\n31680 47553\n73067 100000\n934 1405\n75433 100000\n35540 53350\n61200 91803\n56361 84560\n30653 46031\n40374 60596\n82003 100000\n6171 9273\n56820 85242\n43006 64603\n49942 74963\n61376 92068\n42666 64086\n49455 74253\n93467 100000\n8208 12316\n79556 100000\n97340 100000\n19061 28597\n75093 100000\n95598 100000\n37819 56762\n93380 100000\n6120 9197\n51173 76791\n88495 100000\n17048 25554\n47316 71065\n26198 39302\n97169 100000\n49204 73892\n24076 36146\n57222 85845\n45301 68018\n86707 100000\n80136 100000\n72581 100000\n20554 30855\n11696 17513\n49575 74433\n17842 26772\n91260 100000\n51794 77734\n50596 75929\n27146 40733\n77637 100000\n54927 82389\n14185 21237\n82075 100000\n52640 78994\n15908 23815\n86649 100000\n68913 100000\n34353 51579\n92997 100000\n80575 100000\n84173 100000\n54717 82076\n25804 38704\n61557 92347\n83473 100000\n11092 16607\n92945 100000\n18173 27266\n95757 100000\n89715 100000\n72698 100000\n17484 26224\n71954 100000\n13162 19721\n5962 8959\n65600 98401\n53192 79817\n71244 100000\n47814 71811\n27867 41827\n12905 19341\n85943 100000\n13827 20692\n40226 60364\n19452 29191\n85572 100000\n26242 39368\n67956 100000\n85160 100000\n57193 85805\n8557 12821\n17133 25685\n96723 100000\n16503 24716\n19529 29313\n90192 100000\n29448 44204\n26350 39536\n75312 100000\n19748 29632\n27542 41338\n11633 17412\n28672 43046\n50925 76425\n7285 10941\n6442 9674\n38413 57639\n34653 52024\n70795 100000\n27876 41841\n75890 100000\n44076 66193\n78860 100000\n86657 100000\n42528 63880\n82681 100000\n32148 48267\n3838 5776\n12678 18995\n80926 100000\n28906 43400\n29032 43591\n43603 65485\n13387 20059\n32905 49398\n21105 31675\n65480 98226\n39707 59594\n42166 63323\n9188 13756\n92305 100000\n28976 43504\n22257 33437\n66819 100000\n97673 100000\n37243 55890\n37009 55541\n71756 100000\n24573 36899\n19829 29758\n48135 72284\n33181 49807\n7648 11488\n59185 88811\n75815 100000\n28790 43218\n20155 30239\n96368 100000\n24333 36525\n54222 81361\n47070 70696\n62216 93337\n9845 14725\n43381 65162\n69363 100000\n8971 13427\n32490 48784\n60744 91130\n77583 100000\n59666 89534\n97405 100000\n37031 55573\n8455 12673\n22823 34263\n86561 100000\n8844 13239\n54709 82063\n80783 100000\n18042 27067\n93458 100000\n97026 100000\n20845 31279\n6425 9652\n98175 100000\n52660 79025\n5943 8931\n94850 100000\n3963 5973\n86007 100000\n21520 32297\n5105 7670\n14947 22374\n45842 68828\n40693 61080\n74691 100000\n23578 35394\n77839 100000\n72075 100000\n79748 100000\n35490 53272\n99173 100000\n94349 100000\n51160 76774\n16113 24130\n9477 14189\n43139 64805\n37894 56872\n60126 90221\n97994 100000\n5249 7887\n49361 74112\n5610 8445\n29959 44967\n34736 52150\n51498 77277\n74766 100000\n93032 100000\n64979 97471\n84736 100000\n22878 34343\n53864 80827\n60388 90607\n3137 4714\n24661 37031\n12597 18875\n19500 29266\n2773 4165\n69603 100000\n72056 100000\n38448 57691\n18161 27249\n56677 85038\n78878 100000\n72194 100000\n51225 76868\n21062 31606\n72291 100000\n94607 100000\n15793 23647\n72394 100000\n42625 64024\n11432 17109\n66078 99122\n85385 100000\n28554 42869\n65628 98447\n61810 92718\n90824 100000\n24663 37035\n36362 54570\n37960 56975\n26382 39585\n59987 90008\n88703 100000\n60714 91084\n45973 69027\n21574 32378\n45814 68784\n2630 3952\n23659 35513\n92513 100000\n11446 17132\n26468 39712\n63186 94781\n95952 100000\n35477 53256\n5033 7560\n37717 56604\n67536 100000\n32901 49392\n31836 47797\n30704 46107\n56305 84471\n28327 42530\n17703 26563\n47807 71798\n65643 98466\n46633 70045\n40437 60688\n65066 97598\n86009 100000\n71516 100000\n61865 92803\n64305 96462\n84854 100000\n99180 100000\n95980 100000\n37903 56888\n88144 100000\n74678 100000\n57999 87008\n93968 100000\n65269 97902\n44199 66383\n15313 22929\n32337 48552\n67942 100000\n8859 13263\n99710 100000\n67486 100000\n84674 100000\n55118 82684\n30977 46518\n669 1013\n78310 100000\n9674 14465\n55438 83171\n80282 100000\n15589 23350\n63857 95775\n74110 100000\n63888 95823\n95655 100000\n8049 12077\n72737 100000\n65210 97812\n57000 85520\n61821 92735\n63404 95100\n60862 91301\n79953 100000\n16821 25207\n20556 30859\n82157 100000\n44279 66503\n57465 86203\n21045 31583\n10840 16226\n52547 78853\n63529 95288\n74578 100000\n39462 59228\n45348 68089\n10139 15165\n26931 40406\n14403 21555\n27404 41120\n68130 100000\n69987 100000\n47423 71227\n78922 100000\n11071 16573\n23496 35274\n11436 17116\n41670 62573\n17765 26659\n73240 100000\n7509 11282\n21368 32068\n48582 72962\n33732 50644\n22212 33361\n6822 10239\n69413 100000\n67072 100000\n40469 60732\n74986 100000\n30056 45115\n75363 100000\n41576 62432\n55328 82999\n89222 100000\n5651 8502\n35935 53937\n96005 100000\n12458 18662\n51499 77279\n53940 80942\n42330 63576\n28412 42657\n75259 100000\n24981 37512\n44970 67531\n14619 21882\n44176 66350\n27926 41920\n26807 40220\n95717 100000\n26563 39853\n14345 21472\n64910 97364\n33252 49917\n72411 100000\n56986 85497\n57423 86141\n43039 64655\n27085 40641\n78538 100000\n18226 27344\n99441 100000\n7676 11528\n93931 100000\n78571 100000\n21706 32589\n91552 100000\n24070 36136\n13825 20690\n56635 84978\n46525 69879\n65408 98111\n70753 100000\n26588 39889\n62089 93143\n31663 47530\n73793 100000\n80269 100000\n65786 98684\n8891 13312\n95695 100000\n96189 100000\n78047 100000\n48860 73374\n66754 100000\n23795 35716\n22628 33979\n7379 11084\n6859 10301\n58617 87974\n2184 3273\n93215 100000\n75392 100000\n90143 100000\n23533 35333\n44112 66250\n85279 100000\n5310 7981\n78060 100000\n25869 38798\n12829 19224\n52953 79468\n78644 100000\n51898 77884\n48100 72233\n70242 100000\n73402 100000\n90700 100000\n12303 18421\n163 248\n22509 33802\n66671 99993\n66883 100000\n24305 36479\n54989 82484\n68895 100000\n63458 95180\n51267 76935\n46324 69562\n15197 22752\n49989 75032\n64611 96918\n23358 35068\n34335 51554\n89587 100000\n40358 60572\n61255 91889\n82587 100000\n43402 65191\n61804 92707\n13926 20840\n86110 100000\n25018 37565\n17984 26982\n12063 18072\n96424 100000\n43476 65297\n60617 90943\n71356 100000\n50422 75672\n13389 20063\n24453 36713\n55536 83322\n77333 100000\n80526 100000\n20609 30942\n17488 26230\n99198 100000\n49476 74287\n81382 100000\n79527 100000\n6175 9279\n57860 86803\n79634 100000\n14831 22202\n14131 21156\n84974 100000\n30009 45046\n23653 35503\n52399 78628\n83695 100000\n5642 8489\n71236 100000\n88831 100000\n69822 100000\n62174 93274\n38984 58509\n52421 78661\n66727 100000\n70907 100000\n8921 13356\n85235 100000\n62661 94009\n46790 70272\n59057 88621\n5318 7994\n46515 69865\n8204 12309\n30516 45821\n25127 37722\n38485 57748\n74722 100000\n67741 100000\n96544 100000\n25854 38777\n43471 65290\n51910 77901\n89622 100000\n93447 100000\n76582 100000\n99630 100000\n61041 91563\n50637 75991\n58584 87921\n87476 100000\n88510 100000\n85834 100000\n38850 58305\n16455 24642\n45324 68049\n23431 35173\n3285 4940\n34085 51194\n34956 52482\n22861 34318\n95942 100000\n20591 30913\n90397 100000\n97692 100000\n93976 100000\n36223 54355\n58414 87660\n8881 13296\n41701 62623\n54402 81619\n17274 25912\n34828 52293\n46563 69940\n45950 68992\n75215 100000\n79449 100000\n88108 100000\n47390 71178\n15966 23903\n91230 100000\n65173 97758\n91993 100000\n5663 8519\n51664 77539\n11227 16804\n33504 50297\n30254 45423\n22202 33350\n62351 93539\n37816 56758\n25694 38541\n518 780\n82482 100000\n38012 57051\n72478 100000\n15228 22798\n9622 14392\n57287 85936\n13625 20395\n12347 18493\n84969 100000\n57302 85957\n21590 32408\n26727 40099\n68408 100000\n74394 100000\n16611 24894\n68986 100000\n82462 100000\n9145 13688\n56143 84230\n12645 18949\n3423 5155\n38917 58403\n24169 36284\n40064 60127\n60538 90823\n40349 60556\n953 1431\n8750 13105\n30506 45808\n6637 9965\n59428 89183\n10401 15549\n85885 100000\n58206 87339\n15862 23746\n18442 27674\n69477 100000\n94484 100000\n77639 100000\n64158 96237\n88207 100000\n45075 67690\n56076 84129\n23545 35348\n1205 1791\n29460 44221\n58766 88198\n19854 29792\n40343 60547\n61178 91774\n79525 100000\n97605 100000\n64002 96004\n9944 14872\n39518 59312\n42077 63188\n66753 100000\n15521 23248\n67068 100000\n31758 47675\n94194 100000\n62849 94290\n26435 39663\n26466 39709\n47206 70901\n41734 62674\n85098 100000\n76162 100000\n29474 44245\n29321 44017\n70751 100000\n57905 86871\n32967 49490\n44779 67232\n28641 43000\n51324 77015\n1396 2087\n78272 100000\n38742 58142\n65745 98623\n30043 45096\n69331 100000\n52465 78728\n93650 100000\n25279 37950\n40264 60424\n45726 68654\n35162 52785\n89344 100000\n64641 96960\n28028 42077\n10107 15114\n49892 74898\n95466 100000\n8360 12530\n14236 21314\n64203 96303\n69576 100000\n69984 100000\n26025 39037\n9082 13594\n41305 62018\n6529 9807\n21029 31556\n53754 80663\n62548 93844\n9843 14723\n5283 7942\n60660 91005\n90524 100000\n86691 100000\n70374 100000\n72086 100000\n25424 38154\n84836 100000\n44740 67170\n88862 100000\n81885 100000\n86085 100000\n27708 41587\n95036 100000\n77608 100000\n86480 100000\n3734 5620\n31090 46691\n18675 28026\n54508 81773\n59449 89211\n74087 100000\n98996 100000\n13439 20133\n77379 100000\n64261 96390\n5646 8495\n5560 8364\n57054 85607\n84370 100000\n99547 100000\n20543 30840\n22486 33767\n36859 55303\n67864 100000\n75319 100000\n28793 43222\n67605 100000\n92823 100000\n830 1248\n31022 46585\n82118 100000\n97480 100000\n70829 100000\n19427 29152\n75700 100000\n95209 100000\n51405 77138\n91108 100000\n44260 66472\n1994 2987\n29760 44666\n69307 100000\n37554 56363\n63032 94550\n3064 4606\n57816 86735\n38129 57225\n52959 79476\n22129 33243\n49868 74864\n8960 13410\n40181 60299\n61203 91807\n67388 100000\n82133 100000\n41374 62126\n85353 100000\n62811 94230\n96491 100000\n52414 78650\n47119 70771\n95350 100000\n3170 4764\n50040 75104\n67446 100000\n82057 100000\n34911 52417\n32045 48115\n1317 1954\n34997 52541\n65917 98882\n99228 100000\n62279 93436\n75080 100000\n98096 100000\n89118 100000\n71353 100000\n89484 100000\n57727 86597\n31077 46671\n35918 53912\n89955 100000\n68577 100000\n50461 75730\n65136 97701\n69934 100000\n96477 100000\n77102 100000\n39002 58537\n89540 100000\n65456 98187\n98686 100000\n31520 47321\n52748 79162\n83112 100000\n33135 49743\n60149 90252\n73725 100000\n88438 100000\n29273 43947\n31330 47039\n51814 77764\n94621 100000\n79854 100000\n86734 100000\n81683 100000\n6580 9884\n66024 99040\n73795 100000\n4938 7420\n47177 70859\n39915 59912\n18957 28442\n76978 100000\n71005 100000\n1002 1501\n76441 100000\n45343 68080\n11854 17754\n40232 60375\n5109 7675\n33309 50003\n39778 59704\n19935 29913\n28732 43131\n69851 100000\n54949 82423\n39410 59149\n97945 100000\n88219 100000\n40386 60611\n25257 37921\n92833 100000\n10075 15064\n36700 55068\n61695 92547\n56915 85384\n34153 51284\n61293 91945\n22134 33249\n15120 22633\n37541 56339\n52462 78724\n33718 50619\n82263 100000\n84045 100000\n68475 100000\n90261 100000\n72027 100000\n70775 100000\n94878 100000\n87515 100000\n32270 48453\n88777 100000\n50568 75889\n90004 100000\n57746 86625\n48981 73558\n55525 83306\n28535 42841\n83267 100000\n53263 79916\n75737 100000\n98683 100000\n45060 67670\n29009 43558\n93204 100000\n42515 63860\n48283 72503\n94638 100000\n86322 100000\n6626 9944\n88625 100000\n65977 98974\n96972 100000\n38433 57670\n38759 58169\n91935 100000\n12282 18391\n67624 100000\n74561 100000\n60187 90313\n35204 52851\n93893 100000\n82479 100000\n44502 66830\n21473 32228\n90781 100000\n91869 100000\n67601 100000\n30035 45084\n62455 93699\n11285 16893\n63480 95214\n89162 100000\n93293 100000\n99096 100000\n68275 100000\n93612 100000\n60236 90379\n47965 72036\n93802 100000\n77440 100000\n98954 100000\n85089 100000\n88542 100000\n36951 55450\n85061 100000\n55000 82498\n15048 22527\n65817 98726\n21873 32853\n76736 100000\n90108 100000\n88576 100000\n42022 63108\n36657 55008\n24274 36429\n58173 87286\n84623 100000\n7038 10567\n29048 43615\n65712 98574\n40499 60777\n87284 100000\n78250 100000\n64864 97295\n96772 100000\n84651 100000\n16527 24758\n47875 71901\n65355 98038\n64267 96401\n43235 64948\n45083 67700\n18034 27054\n56432 84670\n25497 38256\n51426 77172\n61034 91552\n78946 100000\n74220 100000\n45995 69059\n47912 71959\n48570 72945\n55297 82954\n99579 100000\n94606 100000\n73448 100000\n39766 59686\n27005 40513\n24520 36820\n79985 100000\n34661 52038\n47926 71978\n61723 92587\n4674 7028\n10529 15745\n80487 100000\n35150 52766\n70128 100000\n49636 74523\n75679 100000\n82374 100000\n55627 83459\n66487 99733\n38826 58270\n54216 81351\n48524 72873\n52008 78053\n1179 1755\n89833 100000\n99658 100000\n77520 100000\n11281 16887\n37067 55624\n16039 24017\n19546 29337\n11990 17968\n15169 22708\n59036 88593\n59645 89502\n9476 14187\n78358 100000\n39229 58878\n15784 23636\n75267 100000\n20145 30222\n55470 83220\n39961 59975\n16690 25010\n75783 100000\n88643 100000\n29063 43635\n69811 100000\n25147 37752\n89067 100000\n34322 51537\n61149 91728\n93880 100000\n47114 70762\n22225 33383\n19857 29795\n81695 100000\n88434 100000\n16115 24132\n21645 32499\n38977 58498\n47838 71847\n72436 100000\n38948 58451\n61882 92827\n95272 100000\n70607 100000\n36762 55156\n67751 100000\n28550 42864\n89205 100000\n91118 100000\n94497 100000\n22122 33233\n31879 47864\n26886 40340\n69921 100000\n88949 100000\n35090 52676\n49101 73738\n92625 100000\n13575 20330\n87901 100000\n87296 100000\n88030 100000\n38021 57062\n87435 100000\n6036 9064\n15155 22687\n66028 99045\n22647 34002\n64495 96757\n20334 30514\n36491 54763\n62186 93292\n37388 56108\n3364 5062\n14483 21675\n2722 4091\n45575 68426\n88262 100000\n80574 100000\n39922 59921\n51122 76721\n44775 67226\n34688 52078\n44623 67006\n76102 100000\n20045 30071\n60096 90175\n24214 36348\n38384 57592\n65059 97587\n78813 100000\n72719 100000\n89499 100000\n38807 58245\n44510 66843\n38679 58043\n57811 86728\n13604 20368\n17232 25843\n38453 57698\n60021 90062\n14991 22444\n57419 86135\n19101 28659\n73376 100000\n28682 43061\n48581 72960\n10639 15915\n61356 92040\n94001 100000\n32866 49339\n10898 16316\n2527 3793\n98560 100000\n72342 100000\n88829 100000\n87028 100000\n71334 100000\n58794 88237\n33073 49650\n44492 66815\n83768 100000\n69854 100000\n69009 100000\n73944 100000\n53208 79838\n96033 100000\n49640 74528\n3594 5409\n58265 87432\n66901 100000\n62535 93824\n24261 36410\n92547 100000\n16306 24418\n85011 100000\n34356 51583\n31855 47826\n71093 100000\n68869 100000\n91083 100000\n90841 100000\n50156 75280\n30497 45792\n34308 51513\n29353 44066\n72203 100000\n50114 75216\n19690 29548\n25264 37929\n18423 27646\n90146 100000\n27518 41303\n46434 69742\n51214 76853\n46079 69185\n10032 14996\n99687 100000\n60533 90817\n94728 100000\n48310 72544\n79882 100000\n58876 88364\n80481 100000\n25200 37833\n2074 3105\n10354 15477\n17051 25557\n60453 90701\n70611 100000\n94422 100000\n5826 8759\n30477 45762\n28496 42781\n2397 3597\n347 528\n38183 57303\n47606 71500\n4256 6402\n57100 85670\n71338 100000\n42458 63775\n62014 93025\n61581 92382\n91285 100000\n71449 100000\n99156 100000\n13164 19724\n77718 100000\n94841 100000\n14951 22379\n45791 68750\n88143 100000\n82134 100000\n69590 100000\n90986 100000\n93282 100000\n5864 8818\n87808 100000\n34194 51344\n53062 79625\n21746 32654\n33703 50596\n90280 100000\n26081 39120\n66372 99562\n64234 96347\n59571 89391\n18864 28304\n6899 10361\n81305 100000\n21820 32770\n22927 34421\n53528 80325\n91491 100000\n77393 100000\n22680 34052\n55957 83947\n52874 79351\n16278 24376\n42107 63232\n91777 100000\n53279 79937\n85817 100000\n96415 100000\n46023 69100\n39965 59980\n65773 98664\n12006 17990\n20981 31484\n52264 78425\n94321 100000\n92674 100000\n41204 61863\n78376 100000\n26571 39864\n43867 65877\n31180 46819\n95727 100000\n62752 94144\n21686 32559\n21728 32624\n43311 65063\n93943 100000\n92559 100000\n23728 35614\n6842 10272\n76918 100000\n79395 100000\n3257 4896\n84325 100000\n46124 69249\n52880 79361\n18758 28150\n61966 92950\n71433 100000\n62591 93910\n17313 25970\n51076 76650\n20614 30949\n30539 45856\n43970 66032\n1637 2450\n25677 38519\n15201 22759\n72718 100000\n98017 100000\n20286 30443\n62800 94213\n42424 63726\n82928 100000\n37857 56820\n10215 15271\n87154 100000\n2045 3063\n47305 71051\n19277 28919\n82017 100000\n55325 82994\n69360 100000\n73951 100000\n53175 79792\n92490 100000\n17197 25793\n97265 100000\n12532 18776\n13445 20140\n29246 43910\n43804 65785\n34212 51370\n54344 81543\n47444 71258\n49274 73994\n91938 100000\n41062 61638\n42536 63892\n62726 94105\n41222 61888\n65241 97857\n2357 3541\n14491 21688\n10767 16116\n65277 97916\n15346 22981\n11719 17547\n80432 100000\n13400 20077\n28621 42973\n99748 100000\n39467 59237\n31710 47595\n82471 100000\n30182 45312\n79040 100000\n60357 90559\n29607 44439\n62833 94263\n22935 34434\n5730 8618\n27511 41293\n33715 50615\n50222 75375\n71835 100000\n91911 100000\n15039 22516\n47683 71618\n81139 100000\n32300 48497\n21791 32725\n82367 100000\n51165 76780\n55768 83665\n31428 47189\n49093 73727\n82408 100000\n67885 100000\n12935 19383\n5108 7673\n39230 58879\n61563 92358\n26681 40029\n10994 16459\n65529 98296\n71245 100000\n71523 100000\n11909 17843\n41867 62878\n55873 83819\n17121 25665\n37150 55742\n37672 56537\n38967 58481\n21304 31973\n67738 100000\n61434 92157\n85022 100000\n26585 39885\n55520 83296\n74950 100000\n27314 40983\n62393 93606\n24299 36468\n63785 95671\n90733 100000\n84652 100000\n10046 15015\n17969 26960\n52349 78551\n9668 14456\n19459 29201\n56598 84918\n42574 63946\n3108 4672\n54679 82015\n89973 100000\n27364 41059\n16128 24151\n65227 97834\n95821 100000\n78231 100000\n44174 66346\n19723 29596\n10942 16377\n57082 85645\n44271 66489\n91778 100000\n96669 100000\n5793 8709\n44316 66558\n17039 25540\n59307 88997\n65717 98581\n23900 35871\n80925 100000\n42639 64044\n20967 31465\n29473 44244\n72817 100000\n13117 19652\n63105 94665\n90566 100000\n87780 100000\n7758 11652\n24770 37192\n50634 75986\n23906 35881\n52991 79520\n51741 77649\n50233 75391\n49039 73646\n34887 52379\n7313 10984\n62760 94156\n78874 100000\n31950 47967\n23568 35380\n10922 16347\n3648 5493\n82292 100000\n43264 64988\n45495 68312\n28125 42220\n29619 44458\n36646 54991\n1312 1945\n24839 37294\n30201 45340\n20325 30500\n64292 96441\n98350 100000\n44906 67431\n93362 100000\n52456 78716\n88517 100000\n82692 100000\n18127 27194\n11252 16844\n40809 61257\n72577 100000\n75932 100000\n15055 22537\n47402 71196\n6674 10022\n54120 81209\n9458 14158\n10042 15011\n28544 42855\n36838 55271\n89044 100000\n52736 79140\n42186 63349\n69399 100000\n44386 66663\n69284 100000\n95573 100000\n21540 32326\n65596 98394\n1394 2084\n52285 78455\n68343 100000\n66923 100000\n83049 100000\n42863 64386\n55663 83512\n39553 59363\n81800 100000\n94142 100000\n26069 39105\n40310 60492\n36195 54316\n2609 3916\n26142 39209\n86819 100000\n34943 52462\n46965 70529\n41091 61685\n63815 95714\n825 1240\n69662 100000\n9198 13770\n12402 18578\n42471 63795\n54310 81494\n47045 70657\n33868 50859\n12041 18040\n29981 45001\n11640 17422\n16229 24300\n80067 100000\n28839 43295\n31101 46704\n17707 26568\n96131 100000\n33562 50387\n47118 70769\n14546 21772\n45236 67923\n19870 29816\n92364 100000\n94445 100000\n37576 56398\n54914 82368\n90565 100000\n5628 8469\n25720 38578\n46908 70447\n89883 100000\n83306 100000\n84599 100000\n2640 3966\n24881 37356\n84827 100000\n46718 70167\n600 909\n92354 100000\n19509 29280\n52622 78967\n12557 18817\n41599 62468\n26628 39950\n19045 28570\n23515 35305\n1579 2365\n54472 81723\n53303 79974\n51809 77756\n43909 65942\n55094 82646\n23020 34562\n92473 100000\n90221 100000\n41556 62403\n40756 61175\n97069 100000\n687 1041\n32149 48268\n86551 100000\n21346 32035\n72384 100000\n13529 20264\n46180 69338\n65052 97575\n64578 96868\n4810 7225\n20340 30523\n37989 57018\n29731 44624\n58259 87425\n92501 100000\n53306 79980\n55216 82834\n99152 100000\n12042 18041\n87130 100000\n26689 40041\n80168 100000\n47194 70884\n82483 100000\n42789 64280\n5841 8781\n68870 100000\n16173 24215\n95631 100000\n7417 11142\n22870 34331\n64302 96457\n31568 47392\n86400 100000\n49185 73867\n20345 30530\n3131 4706\n97685 100000\n70549 100000\n17656 26489\n26918 40386\n82331 100000\n59478 89253\n72344 100000\n70946 100000\n19533 29320\n89525 100000\n70393 100000\n9391 14057\n75203 100000\n41705 62629\n15402 23067\n53741 80643\n64964 97448\n76681 100000\n51578 77401\n78262 100000\n78355 100000\n3847 5791\n10800 16165\n93747 100000\n19789 29694\n85593 100000\n1541 2305\n26024 39035\n45270 67971\n37274 55937\n55584 83393\n93628 100000\n55017 82521\n39200 58832\n94745 100000\n39138 58741\n7211 10830\n86436 100000\n89975 100000\n10339 15457\n87188 100000\n25880 38813\n7046 10580\n80185 100000\n45507 68328\n95094 100000\n60427 90664\n64209 96310\n9170 13728\n21489 32249\n11303 16921\n97515 100000\n85815 100000\n60106 90192\n2977 4479\n76097 100000\n54105 81185\n86376 100000\n94164 100000\n79193 100000\n34644 52011\n11130 16660\n34694 52086\n12582 18851\n92291 100000\n88469 100000\n10325 15438\n63549 95322\n76611 100000\n3003 4518\n19426 29150\n67284 100000\n59088 88666\n88873 100000\n2828 4244\n54673 82005\n35173 52802\n2300 3449\n2028 3039\n45679 68581\n38236 57377\n42233 63422\n44503 66831\n81763 100000\n6731 10106\n7105 10664\n76368 100000\n23119 34714\n78413 100000\n85328 100000\n29908 44890\n32554 48872\n55376 83071\n59673 89546\n52914 79411\n32998 49539\n68359 100000\n11256 16851\n79948 100000\n89399 100000\n89961 100000\n78499 100000\n58894 88394\n24954 37469\n8596 12876\n79187 100000\n11072 16574\n70059 100000\n47762 71731\n32869 49345\n14168 21212\n74389 100000\n13615 20381\n7151 10733\n47785 71763\n94630 100000\n4045 6101\n89712 100000\n35091 52677\n81725 100000\n82231 100000\n99603 100000\n55384 83082\n4476 6734\n59586 89413\n49546 74396\n30447 45715\n99221 100000\n53839 80789\n34423 51683\n28545 42857\n1990 2981\n57006 85531\n45572 68421\n35696 53574\n40375 60597\n15330 22957\n64224 96332\n77648 100000\n92604 100000\n68394 100000\n39542 59346\n3908 5889\n91630 100000\n87575 100000\n68746 100000\n10143 15170\n47513 71360\n48443 72749\n69448 100000\n43975 66040\n86530 100000\n25287 37961\n86445 100000\n70868 100000\n54897 82341\n6192 9304\n24151 36259\n79457 100000\n6157 9255\n77442 100000\n39367 59086\n85224 100000\n38192 57314\n8225 12340\n85455 100000\n63338 95004\n11798 17670\n61807 92712\n76977 100000\n71257 100000\n98778 100000\n60215 90350\n7884 11837\n44876 67386\n41152 61783\n77474 100000\n49620 74498\n77754 100000\n61605 92415\n49791 74750\n71874 100000\n73814 100000\n54373 81582\n67830 100000\n38803 58240\n29937 44932\n87630 100000\n61808 92714\n3088 4644\n90970 100000\n66577 99859\n19766 29659\n28464 42736\n59159 88772\n22248 33421\n39790 59719\n5038 7570\n45398 68163\n28865 43335\n36737 55119\n9393 14060\n23660 35514\n21166 31762\n72256 100000\n6098 9164\n62851 94294\n95439 100000\n36729 55110\n81834 100000\n37881 56855\n29201 43845\n43425 65227\n45518 68347\n88602 100000\n71102 100000\n23769 35676\n46853 70370\n94240 100000\n58390 87624\n1386 2070\n22563 33882\n26498 39756\n37463 56223\n40544 60848\n46262 69468\n43237 64951\n57022 85559\n61403 92108\n46996 70576\n26605 39915\n59341 89049\n3557 5353\n5199 7808\n64501 96763\n71817 100000\n42427 63731\n18788 28196\n86141 100000\n6684 10037\n99527 100000\n5285 7945\n92404 100000\n10311 15417\n91132 100000\n98156 100000\n69457 100000\n45720 68645\n44913 67443\n15332 22960\n28427 42682\n45619 68494\n25705 38556\n69450 100000\n39535 59337\n53245 79891\n61607 92419\n72535 100000\n95731 100000\n93349 100000\n12801 19183\n49882 74886\n54018 81061\n35483 53263\n59658 89522\n7545 11335\n59849 89806\n19226 28848\n5248 7885\n78393 100000\n97606 100000\n95594 100000\n87889 100000\n47437 71247\n62410 93629\n64869 97303\n23547 35350\n97083 100000\n19825 29753\n26622 39941\n34800 52249\n52036 78095\n87231 100000\n47344 71106\n43278 65011\n24060 36121\n86425 100000\n98635 100000\n41528 62357\n78580 100000\n32241 48407\n59814 89758\n11824 17710\n50624 75971\n84654 100000\n70060 100000\n53602 80435\n25825 38736\n78858 100000\n73711 100000\n42641 64046\n83638 100000\n26100 39144\n75860 100000\n19116 28682\n35800 53735\n91907 100000\n6145 9235\n13309 19943\n99566 100000\n83059 100000\n86343 100000\n58640 88010\n74565 100000\n98047 100000\n38225 57360\n21224 31851\n45753 68696\n80403 100000\n73550 100000\n56458 84710\n21648 32504\n59122 88717\n34792 52235\n2 3\n50133 75243\n5193 7799\n138 211\n41889 62907\n88141 100000\n18696 28059\n53897 80875\n84507 100000\n6849 10284\n35551 53366\n48071 72196\n35186 52822\n86928 100000\n19527 29309\n80392 100000\n61018 91533\n6987 10487\n19154 28742\n99476 100000\n94496 100000\n34936 52451\n70729 100000\n26942 40424\n26738 40115\n47208 70903\n98743 100000\n54879 82315\n48360 72619\n84559 100000\n26225 39342\n46301 69526\n46565 69943\n43989 66064\n99310 100000\n77172 100000\n62256 93398\n42817 64324\n87884 100000\n51860 77827\n39128 58727\n67854 100000\n87760 100000\n84929 100000\n55142 82724\n66696 100000\n77146 100000\n60822 91243\n69346 100000\n94895 100000\n17598 26395\n11394 17050\n27734 41626\n97638 100000\n54163 81271\n21455 32200\n99162 100000\n28814 43255\n8751 13106\n78185 100000\n86204 100000\n87015 100000\n60731 91111\n20364 30559\n33026 49582\n22734 34131\n11910 17845\n11853 17752\n7119 10682\n54558 81843\n86940 100000\n67790 100000\n91707 100000\n90395 100000\n81958 100000\n788 1184\n23687 35551\n13800 20648\n63302 94949\n34643 52009\n31023 46587\n64543 96819\n46506 69853\n60909 91372\n77116 100000\n71934 100000\n31274 46953\n45252 67947\n95565 100000\n2279 3420\n80980 100000\n30690 46087\n5547 8346\n22069 33149\n73929 100000\n83250 100000\n58770 88203\n87273 100000\n11368 17017\n66534 99798\n66027 99044\n11679 17486\n98955 100000\n4821 7242\n35001 52547\n4633 6968\n7555 11349\n77774 100000\n50003 75054\n13532 20268\n34435 51700\n12231 18313\n4634 6970\n62454 93698\n75697 100000\n58334 87540\n22918 34408\n82701 100000\n23040 34596\n44572 66930\n80694 100000\n28844 43302\n79941 100000\n78513 100000\n420 638\n94187 100000\n76420 100000\n24500 36789\n63487 95225\n25126 37720\n29267 43940\n84707 100000\n31872 47854\n26720 40089\n40123 60215\n98188 100000\n66721 100000\n52942 79451\n12090 18107\n53914 80904\n3175 4772\n53156 79765\n25632 38453\n63062 94597\n29184 43818\n20 30\n54286 81458\n62854 94298\n86909 100000\n12720 19055\n3398 5115\n44899 67420\n30956 46485\n14478 21668\n70259 100000\n19289 28937\n53787 80715\n16274 24370\n87643 100000\n95595 100000\n15221 22788\n52054 78122\n44242 66448\n95581 100000\n95696 100000\n89132 100000\n18244 27376\n22037 33101\n81043 100000\n75552 100000\n91032 100000\n55243 82871\n30158 45272\n21159 31752\n5532 8323\n679 1030\n33061 49634\n65946 98927\n25177 37798\n7265 10909\n6862 10306\n7778 11680\n54615 81926\n27323 40997\n81006 100000\n66396 99599\n94946 100000\n40198 60323\n91970 100000\n53788 80716\n64165 96249\n59238 88892\n24826 37277\n79839 100000\n32822 49279\n90150 100000\n96120 100000\n62578 93891\n99490 100000\n18382 27584\n70179 100000\n32439 48705\n24934 37439\n7614 11433\n86356 100000\n70365 100000\n24725 37122\n43398 65185\n99494 100000\n10290 15386\n36019 54061\n96835 100000\n98419 100000\n12952 19408\n69047 100000\n1657 2482\n40423 60665\n52533 78835\n48426 72722\n57818 86738\n55453 83193\n15334 22963\n26471 39716\n67407 100000\n1626 2433\n90313 100000\n33481 50260\n71947 100000\n75904 100000\n4772 7176\n72011 100000\n90059 100000\n73979 100000\n88489 100000\n53113 79702\n81210 100000\n64801 97200\n91144 100000\n33429 50177\n85816 100000\n69941 100000\n19796 29706\n34948 52469\n38489 57754\n26432 39659\n99823 100000\n79549 100000\n84044 100000\n86450 100000\n37142 55730\n47755 71720\n52546 78852\n16487 24689\n97362 100000\n64517 96783\n38901 58380\n75802 100000\n14448 21627\n75031 100000\n1918 2876\n32715 49113\n67789 100000\n26460 39700\n14902 22306\n40509 60791\n62588 93905\n76354 100000\n81705 100000\n28345 42555\n13334 19981\n93239 100000\n19570 29371\n29750 44654\n42855 64375\n85429 100000\n78835 100000\n43900 65930\n12686 19006\n71321 100000\n85562 100000\n56681 85043\n23266 34929\n93753 100000\n84642 100000\n38331 57517\n78148 100000\n55999 84012\n91078 100000\n57863 86809\n5468 8224\n1944 2913\n96361 100000\n70702 100000\n56849 85287\n70063 100000\n97443 100000\n48776 73252\n21743 32648\n53085 79660\n65094 97639\n12915 19354\n60787 91193\n58359 87578\n13924 20838\n7812 11731\n96434 100000\n48903 73440\n18996 28503\n53650 80505\n56489 84755\n34988 52527\n33981 51033\n99039 100000\n16334 24459\n55776 83678\n48596 72986\n30330 45534\n22107 33208\n96347 100000\n40831 61290\n31964 47990\n21799 32738\n37293 55967\n47800 71789\n69386 100000\n94352 100000\n78361 100000\n16950 25406\n65822 98733\n28103 42190\n96420 100000\n79752 100000\n22437 33688\n18632 27964\n39693 59573\n49831 74808\n334 509\n48732 73189\n75465 100000\n8169 12252\n63769 95645\n8372 12548\n61208 91816\n66601 99896\n91269 100000\n99810 100000\n94113 100000\n61532 92310\n49624 74506\n52969 79489\n97809 100000\n84018 100000\n33512 50311\n30566 45897\n83660 100000\n96874 100000\n21283 31940\n6628 9947\n23319 35011\n99342 100000\n62976 94470\n41534 62367\n36052 54111\n93520 100000\n56455 84707\n97151 100000\n94546 100000\n59810 89753\n31555 47373\n60356 90557\n80332 100000\n56452 84702\n81254 100000\n18638 27972\n1999 2995\n14812 22173\n67131 100000\n20278 30431\n18436 27664\n70021 100000\n11927 17872\n95772 100000\n74000 100000\n23361 35073\n58357 87574\n9606 14371\n27137 40723\n47044 70655\n96074 100000\n74937 100000\n12515 18753\n81458 100000\n35486 53267\n60718 91091\n87732 100000\n72575 100000\n50298 75492\n72228 100000\n56401 84619\n88785 100000\n25536 38311\n12729 19070\n84112 100000\n72559 100000\n8550 12808\n4265 6415\n55941 83922\n74318 100000\n18221 27337\n223 338\n63936 95898\n51604 77439\n35277 52961\n71693 100000\n55372 83064\n72569 100000\n69298 100000\n75069 100000\n49899 74908\n21627 32467\n50049 75118\n31740 47645\n96759 100000\n49205 73894\n91169 100000\n87477 100000\n62571 93879\n35797 53730\n84054 100000\n15414 23083\n75620 100000\n85607 100000\n89334 100000\n86137 100000\n9898 14805\n97743 100000\n4608 6930\n26037 39056\n86011 100000\n28728 43124\n15114 22626\n52993 79524\n73964 100000\n70157 100000\n37078 55641\n79566 100000\n99647 100000\n64320 96484\n35155 52775\n96392 100000\n88474 100000\n81352 100000\n64973 97461\n16687 25005\n62634 93967\n77213 100000\n81799 100000\n8526 12775\n79563 100000\n6280 9435\n91120 100000\n77222 100000\n89404 100000\n67678 100000\n63513 95266\n15094 22598\n33705 50599\n181 277\n60301 90472\n58929 88438\n505 762\n9918 14831\n16461 24653\n43260 64983\n59352 89065\n99113 100000\n45896 68911\n90608 100000\n23882 35844\n9258 13857\n32707 49100\n56158 84255\n5423 8153\n67822 100000\n574 866\n77001 100000\n83661 100000\n56509 84786\n25031 37582\n78389 100000\n62763 94161\n55561 83359\n47061 70682\n89511 100000\n46005 69074\n60940 91419\n91910 100000\n15264 22850\n40033 60083\n98138 100000\n93892 100000\n30288 45475\n87573 100000\n27235 40870\n91515 100000\n57582 86382\n18427 27651\n13642 20419\n96890 100000\n56523 84806\n33268 49942\n51262 76927\n97674 100000\n14940 22364\n67272 100000\n82472 100000\n26776 40175\n95448 100000\n4818 7236\n66486 99732\n54052 81108\n73287 100000\n30619 45978\n33881 50878\n96407 100000\n27041 40568\n62277 93432\n87226 100000\n16878 25296\n63144 94724\n34922 52431\n86270 100000\n93659 100000\n17234 25847\n87313 100000\n4799 7212\n17192 25786\n63168 94757\n30526 45838\n52714 79106\n43927 65970\n31307 47002\n21917 32924\n39121 58715\n26729 40102\n59682 89559\n44617 66998\n55290 82942\n77651 100000\n32146 48264\n1464 2192\n5375 8078\n40353 60563\n27984 42009\n10192 15236\n45194 67859\n59317 89010\n5226 7851\n72415 100000\n37166 55769\n35967 53981\n67271 100000\n38835 58281\n89016 100000\n62227 93354\n79476 100000\n48852 73363\n46496 69839\n27579 41394\n45049 67650\n31901 47895\n5534 8327\n77005 100000\n15874 23766\n1131 1683\n14586 21834\n70049 100000\n73977 100000\n93431 100000\n92083 100000\n83925 100000\n55088 82637\n35955 53965\n32853 49320\n20285 30442\n54857 82286\n61908 92865\n38389 57599\n88825 100000\n63635 95447\n85094 100000\n83052 100000\n49281 74004\n70236 100000\n64738 97108\n57185 85791\n52194 78325\n54346 81545\n69779 100000\n48255 72456\n27807 41738\n31873 47856\n68670 100000\n93143 100000\n57206 85824\n4602 6922\n35280 52965\n49376 74131\n62486 93748\n20661 31011\n46761 70231\n7436 11173\n98825 100000\n81161 100000\n50221 75374\n3808 5732\n45824 68798\n23140 34745\n51911 77902\n33408 50148\n66478 99722\n96148 100000\n3148 4731\n22413 33652\n21964 32993\n28588 42921\n92278 100000\n58504 87800\n9363 14019\n98776 100000\n9172 13730\n34609 51954\n87145 100000\n27915 41902\n69974 100000\n29033 43593\n42328 63573\n15145 22671\n81941 100000\n21817 32765\n45908 68931\n28668 43041\n2050 3069\n45725 68653\n51415 77156\n64251 96373\n66763 100000\n79716 100000\n76805 100000\n38942 58441\n12533 18778\n33853 50835\n53964 80976\n70812 100000\n17909 26877\n16133 24160\n272 410\n39643 59497\n74586 100000\n74278 100000\n87992 100000\n96754 100000\n46799 70286\n70030 100000\n89268 100000\n88940 100000\n58194 87318\n81314 100000\n62312 93481\n50854 76322\n15517 23243\n47494 71334\n56019 84042\n63523 95277\n27458 41205\n7072 10618\n42244 63438\n20993 31502\n8330 12490\n23599 35426\n66318 99478\n46848 70362\n96605 100000\n83755 100000\n66250 99381\n90441 100000\n85750 100000\n71593 100000\n70201 100000\n33924 50944\n19100 28657\n7798 11710\n62097 93154\n75820 100000\n92496 100000\n99664 100000\n58235 87388\n97560 100000\n4796 7207\n68860 100000\n10833 16214\n57388 86089\n52098 78188\n81790 100000\n88351 100000\n34296 51494\n74780 100000\n57664 86506\n66600 99894\n97217 100000\n64547 96826\n91785 100000\n53272 79928\n68123 100000\n57976 86976\n97727 100000\n63381 95069\n81092 100000\n30252 45419\n34980 52515\n64572 96859\n85406 100000\n36138 54236\n90865 100000\n42766 64243\n48508 72853\n52827 79281\n78893 100000\n77756 100000\n87329 100000\n19508 29279\n8601 12883\n94786 100000\n26721 40090\n59518 89313\n33689 50575\n9421 14107\n78662 100000\n21130 31711\n41044 61613\n66750 100000\n64050 96078\n29144 43758\n55090 82640\n40490 60765\n15641 23422\n59541 89346\n6276 9428\n54747 82119\n66244 99374\n93522 100000\n80013 100000\n9747 14578\n30445 45711\n42709 64151\n83984 100000\n3383 5092\n60548 90839\n26197 39300\n93660 100000\n92167 100000\n17677 26521\n9021 13500\n39052 58606\n40456 60711\n9250 13846\n43972 66034\n32871 49349\n4973 7475\n71996 100000\n71925 100000\n82383 100000\n48677 73107\n1053 1573\n22672 34039\n11237 16818\n84204 100000\n71295 100000\n44629 67015\n50602 75939\n10261 15342\n4375 6590\n91495 100000\n7188 10793\n67439 100000\n79519 100000\n99400 100000\n78604 100000\n59397 89133\n36946 55442\n90732 100000\n10727 16050\n13502 20224\n99017 100000\n88887 100000\n18836 28266\n30568 45900\n60250 90400\n79182 100000\n56767 85163\n17702 26562\n13504 20226\n5490 8260\n92714 100000\n78084 100000\n22914 34404\n39042 58595\n78934 100000\n10795 16157\n12708 19037\n57615 86433\n28945 43459\n72848 100000\n33383 50113\n37527 56318\n67425 100000\n31616 47468\n60469 90723\n69383 100000\n40236 60381\n98446 100000\n15828 23695\n76679 100000\n6449 9684\n70461 100000\n65271 97905\n10588 15835\n5291 7956\n51718 77616\n22476 33753\n30649 46024\n55821 83741\n40551 60858\n34789 52231\n86433 100000\n42118 63248\n95304 100000\n89867 100000\n12332 18469\n45036 67631\n19793 29701\n87223 100000\n63808 95703\n5189 7792\n27344 41026\n90645 100000\n26509 39772\n48079 72205\n73246 100000\n64847 97268\n26342 39523\n77479 100000\n79190 100000\n76027 100000\n3484 5245\n68847 100000\n20710 31080\n1788 2684\n35361 53086\n10996 16461\n22427 33673\n54025 81071\n25433 38165\n63054 94584\n804 1208\n72529 100000\n38880 58348\n18139 27212\n82212 100000\n30825 46284\n17963 26952\n57705 86566\n47357 71126\n95088 100000\n66366 99552\n14516 21727\n3684 5545\n57135 85717\n98766 100000\n52815 79265\n51130 76732\n69018 100000\n13956 20888\n92781 100000\n94463 100000\n37736 56634\n65041 97559\n24714 37109\n67676 100000\n54894 82336\n6968 10458\n55308 82968\n91804 100000\n71097 100000\n88172 100000\n12852 19257\n41321 62042\n80009 100000\n21614 32446\n74218 100000\n57548 86330\n12001 17984\n81042 100000\n39916 59913\n37943 56951\n92796 100000\n16948 25403\n16367 24508\n50321 75529\n50563 75881\n13214 19799\n87748 100000\n97011 100000\n28688 43070\n791 1188\n26958 40449\n71873 100000\n49730 74657\n36569 54879\n36878 55333\n59140 88743\n65916 98881\n17608 26412\n70389 100000\n17387 26080\n71396 100000\n35900 53885\n82882 100000\n87108 100000\n95659 100000\n45331 68061\n7699 11565\n93577 100000\n53919 80910\n539 813\n46742 70200\n96107 100000\n40706 61102\n85321 100000\n92310 100000\n24817 37262\n34958 52485\n21358 32053\n55275 82919\n12534 18779\n99605 100000\n1630 2439\n19815 29738\n82239 100000\n33076 49654\n69722 100000\n69197 100000\n70604 100000\n97424 100000\n67755 100000\n11976 17947\n69889 100000\n19482 29237\n93676 100000\n46493 69834\n13448 20144\n83173 100000\n28123 42217\n86670 100000\n69153 100000\n36303 54480\n39974 59993\n35765 53679\n75967 100000\n90998 100000\n53630 80475\n81605 100000\n38290 57455\n16344 24472\n68689 100000\n32209 48357\n25449 38186\n90412 100000\n51608 77446\n53769 80686\n99782 100000\n88442 100000\n67937 100000\n78373 100000\n71265 100000\n56936 85418\n54238 81384\n71723 100000\n43156 64831\n82126 100000\n78742 100000\n33104 49694\n77770 100000\n42885 64420\n95773 100000\n24622 36971\n28072 42143\n21938 32954\n15543 23281\n58337 87544\n12846 19247\n15352 22991\n32954 49469\n46860 70380\n2663 3999\n50030 75090\n26597 39903\n14567 21805\n76905 100000\n27045 40575\n67121 100000\n92413 100000\n12590 18862\n38667 58024\n31749 47661\n30286 45471\n58412 87657\n10216 15272\n11153 16694\n3954 5961\n18233 27356\n98598 100000\n77739 100000\n41186 61834\n33120 49718\n55169 82766\n31885 47872\n13649 20429\n15296 22899\n89518 100000\n17806 26718\n24173 36289\n55541 83329\n38239 57380\n65566 98350\n89798 100000\n35766 53680\n26647 39976\n67432 100000\n96109 100000\n72668 100000\n74411 100000\n78501 100000\n94718 100000\n65076 97611\n94114 100000\n97978 100000\n46391 69673\n96468 100000\n96473 100000\n1234 1833\n63519 95273\n59480 89255\n54820 82229\n38681 58047\n96089 100000\n62316 93487\n93652 100000\n36599 54926\n23546 35349\n11567 17312\n47311 71059\n93172 100000\n5948 8938\n6282 9439\n82056 100000\n34434 51699\n21118 31694\n74025 100000\n7967 11953\n7625 11454\n53733 80630\n987 1478\n74771 100000\n37882 56856\n50571 75893\n81635 100000\n7748 11639\n7020 10540\n53535 80333\n47925 71977\n7573 11372\n58205 87337\n91470 100000\n25109 37694\n8547 12804\n15102 22610\n21090 31651\n70647 100000\n21502 32272\n64197 96293\n56920 85392\n54597 81900\n8782 13150\n37227 55867\n90544 100000\n4433 6671\n71259 100000\n16057 24045\n75959 100000\n49834 74812\n9701 14508\n97176 100000\n96804 100000\n71522 100000\n82113 100000\n67568 100000\n68177 100000\n93780 100000\n78873 100000\n61108 91668\n21529 32311\n74282 100000\n7286 10942\n69482 100000\n50346 75568\n25499 38258\n35142 52755\n39945 59953\n69660 100000\n71986 100000\n78681 100000\n24497 36785\n58495 87789\n57262 85898\n18764 28158\n84891 100000\n37662 56523\n92978 100000\n41868 62880\n72828 100000\n93413 100000\n23777 35688\n84953 100000\n88414 100000\n42914 64460\n99633 100000\n93116 100000\n42783 64270\n6348 9534\n54341 81540\n38452 57696\n42293 63512\n68384 100000\n22880 34345\n44834 67320\n89093 100000\n63352 95024\n83352 100000\n6301 9467\n82836 100000\n68206 100000\n91060 100000\n34341 51562\n12159 18209\n22258 33438\n84903 100000\n51507 77290\n42050 63146\n21085 31642\n66252 99383\n6020 9041\n47712 71659\n39742 59651\n26316 39484\n32581 48912\n9718 14531\n8254 12381\n20654 31001\n81028 100000\n55360 83044\n5944 8932\n31579 47410\n12610 18895\n87128 100000\n48450 72760\n58185 87303\n1952 2924\n52695 79079\n2955 4447\n5469 8226\n12524 18767\n54867 82298\n42967 64547\n5383 8089\n64303 96459\n34971 52504\n28662 43032\n62874 94326\n50625 75972\n39349 59055\n33628 50482\n133 204\n67979 100000\n4896 7360\n48311 72545\n52669 79040\n1162 1730\n57739 86614\n93370 100000\n58701 88103\n25494 38251\n52697 79082\n64636 96954\n16766 25121\n50176 75310\n46902 70438\n54094 81169\n84411 100000\n41749 62699\n45608 68478\n92070 100000\n23455 35214\n93740 100000\n7456 11203\n35000 52546\n97043 100000\n14445 21623\n5627 8468\n96603 100000\n20150 30231\n81505 100000\n2024 3034\n35433 53191\n40720 61121\n3609 5433\n22723 34112\n94777 100000\n76844 100000\n10702 16015\n83358 100000\n76712 100000\n17594 26391\n92722 100000\n55400 83109\n91544 100000\n50477 75752\n30598 45946\n35224 52880\n51484 77256\n8400 12592\n67136 100000\n25215 37857\n8347 12513\n83842 100000\n26764 40156\n30193 45329\n89324 100000\n63742 95606\n85624 100000\n46209 69385\n58549 87868\n91983 100000\n39606 59444\n1584 2372\n27252 40893\n69858 100000\n2221 3332\n82403 100000\n66442 99669\n23454 35212\n68768 100000\n88661 100000\n82441 100000\n60030 90077\n11179 16735\n50252 75425\n5151 7738\n62109 93172\n91263 100000\n22197 33343\n50494 75779\n39474 59248\n83909 100000\n73743 100000\n72689 100000\n88632 100000\n87116 100000\n88385 100000\n45493 68309\n55521 83298\n43529 65375\n77758 100000\n33153 49768\n32086 48176\n87214 100000\n11064 16563\n42181 63341\n20305 30471\n94633 100000\n70505 100000\n62929 94404\n28864 43333\n13646 20425\n10633 15907\n47596 71483\n40960 61482\n16370 24511\n65368 98054\n66026 99042\n14021 20989\n51365 77078\n54148 81250\n93884 100000\n22683 34055\n34454 51728\n61520 92291\n30313 45509\n42837 64349\n3486 5248\n7390 11100\n43667 65577\n52506 78794\n94649 100000\n913 1374\n74721 100000\n74774 100000\n45967 69017\n87181 100000\n98758 100000\n84715 100000\n59961 89974\n955 1433\n64956 97437\n15446 23136\n83584 100000\n62327 93503\n1959 2936\n70046 100000\n83647 100000\n37021 55558\n8861 13266\n36197 54318\n71174 100000\n63235 94852\n80950 100000\n88231 100000\n34827 52291\n35427 53182\n26065 39099\n87456 100000\n34615 51962\n22504 33793\n26960 40452\n15539 23274\n75101 100000\n1099 1637\n54251 81404\n24814 37257\n16260 24346\n61746 92624\n14532 21749\n46827 70334\n15894 23795\n93728 100000\n6806 10218\n70502 100000\n97232 100000\n95132 100000\n39206 58842\n93729 100000\n41508 62328\n73084 100000\n67857 100000\n79544 100000\n49643 74532\n76472 100000\n72473 100000\n33936 50962\n45845 68833\n23831 35770\n13197 19774\n20126 30194\n51083 76662\n4865 7308\n73859 100000\n95548 100000\n83282 100000\n10643 15919\n50204 75350\n68377 100000\n29848 44799\n94739 100000\n24798 37231\n4538 6825\n55281 82927\n89489 100000\n45444 68233\n67594 100000\n98179 100000\n77585 100000\n80656 100000\n47372 71151\n49961 74989\n52557 78870\n36814 55232\n93549 100000\n48712 73161\n96440 100000\n15760 23599\n91583 100000\n10868 16268\n2182 3271\n7254 10893\n74588 100000\n18888 28336\n83587 100000\n27002 40508\n6182 9289\n89726 100000\n19406 29118\n97843 100000\n37446 56196\n98914 100000\n53858 80816\n81990 100000\n11425 17095\n52633 78982\n80738 100000\n93359 100000\n69809 100000\n42429 63734\n15786 23638\n68186 100000\n65403 98102\n45834 68814\n82273 100000\n38067 57128\n90674 100000\n38934 58429\n47812 71807\n20122 30187\n11418 17085\n20019 30030\n11280 16885\n66641 99949\n10265 15348\n37928 56926\n91281 100000\n60537 90822\n80325 100000\n50585 75915\n17252 25877\n83540 100000\n49260 73975\n7314 10985\n31906 47903\n94788 100000\n33915 50931\n89065 100000\n36582 54898\n77028 100000\n53083 79657\n89704 100000\n90234 100000\n23554 35359\n17652 26484\n20212 30329\n39818 59759\n18230 27350\n34527 51837\n67199 100000\n10890 16303\n11058 16555\n92322 100000\n92913 100000\n82128 100000\n76522 100000\n38230 57368\n20148 30228\n5367 8064\n43925 65967\n20642 30985\n94743 100000\n30703 46105\n82980 100000\n63469 95198\n93128 100000\n90472 100000\n31847 47814\n19820 29746\n45154 67805\n25020 37567\n51878 77856\n55419 83143\n95497 100000\n56029 84056\n67250 100000\n38041 57090\n75458 100000\n53488 80263\n77223 100000\n50037 75101\n49700 74615\n23473 35240\n35810 53751\n24007 36043\n13773 20611\n45229 67912\n26765 40157\n12242 18329\n92552 100000\n63399 95093\n76516 100000\n24669 37044\n7112 10674\n70918 100000\n34509 51808\n61717 92579\n5500 8276\n27493 41262\n51992 78025\n11734 17569\n6601 9910\n32799 49243\n75827 100000\n48891 73422\n31169 46804\n82452 100000\n1128 1680\n24812 37254\n59048 88608\n68467 100000\n20084 30129\n23739 35631\n3192 4802\n66404 99610\n435 662\n13336 19984\n54556 81840\n53390 80105\n5477 8241\n24678 37058\n39480 59256\n73759 100000\n24964 37484\n56929 85406\n15634 23410\n74326 100000\n7080 10630\n34260 51438\n56196 84313\n88041 100000\n56842 85276\n54231 81375\n14655 21935\n63639 95454\n9018 13496\n31381 47116\n78500 100000\n90657 100000\n50628 75978\n31729 47625\n69251 100000\n98150 100000\n70793 100000\n73560 100000\n17732 26605\n52166 78286\n15802 23658\n46399 69687\n45449 68241\n67593 100000\n8314 12468\n86697 100000\n75833 100000\n72294 100000\n93969 100000\n71900 100000\n89609 100000\n59479 89254\n86932 100000\n79787 100000\n752 1131\n32880 49363\n35651 53515\n77722 100000\n19661 29505\n10681 15980\n43897 65925\n94880 100000\n68772 100000\n54339 81537\n28443 42706\n41902 62930\n34280 51469\n26049 39073\n2096 3140\n66154 99237\n34485 51772\n45144 67788\n14269 21360\n63512 95264\n64589 96887\n92682 100000\n40088 60162\n56248 84387\n29442 44196\n33818 50779\n76303 100000\n33749 50673\n57745 86623\n17588 26380\n42021 63106\n74362 100000\n86769 100000\n47403 71197\n681 1032\n45239 67927\n33926 50946\n54074 81138\n81018 100000\n48793 73280\n49138 73796\n71571 100000\n37619 56465\n71444 100000\n40553 60862\n72962 100000\n50797 76237\n97404 100000\n82837 100000\n28678 43055\n40663 61030\n60965 91453\n47310 71057\n55287 82937\n93783 100000\n75711 100000\n3852 5801\n9791 14645\n71592 100000\n99870 100000\n79567 100000\n83057 100000\n82883 100000\n31505 47300\n55900 83862\n6736 10114\n60797 91206\n86054 100000\n74469 100000\n48687 73122\n30099 45179\n79569 100000\n19347 29026\n45168 67821\n91833 100000\n96506 100000\n30835 46299\n56416 84644\n26679 40025\n35600 53443\n45471 68276\n69206 100000\n67812 100000\n15488 23203\n44388 66666\n41736 62678\n96870 100000\n59142 88747\n40372 60592\n22773 34187\n38580 57895\n14423 21587\n42796 64291\n32828 49287\n33263 49936\n58371 87595\n51493 77270\n26302 39462\n82261 100000\n12938 19387\n3172 4766\n50142 75257\n99395 100000\n13984 20932\n96656 100000\n67456 100000\n29010 43560\n62675 94030\n51916 77910\n72751 100000\n70087 100000\n95564 100000\n22095 33189\n96446 100000\n41916 62948\n19244 28870\n80083 100000\n21027 31553\n72639 100000\n8637 12933\n31788 47724\n91631 100000\n71017 100000\n50779 76213\n90875 100000\n36414 54645\n69345 100000\n69836 100000\n23172 34793\n69982 100000\n28953 43471\n98130 100000\n99404 100000\n13740 20560\n80858 100000\n94309 100000\n86451 100000\n86404 100000\n13498 20217\n3287 4942\n73300 100000\n91678 100000\n7309 10976\n73432 100000\n63928 95886\n93044 100000\n40994 61534\n4575 6884\n36159 54267\n23498 35278\n19491 29253\n8342 12507\n11210 16783\n68729 100000\n87430 100000\n84055 100000\n66424 99639\n4568 6874\n30410 45658\n24388 36613\n54146 81247\n97563 100000\n23948 35946\n62105 93166\n70003 100000\n4065 6129\n20346 30531\n70241 100000\n36037 54090\n57549 86331\n83893 100000\n54543 81824\n32564 48887\n90795 100000\n15879 23772\n29539 44340\n33768 50699\n65037 97552\n94410 100000\n16359 24495\n70625 100000\n6625 9943\n35027 52587\n60221 90359\n19415 29135\n3117 4685\n72033 100000\n75934 100000\n52443 78696\n21625 32465\n64851 97274\n39028 58577\n33787 50728\n68993 100000\n93827 100000\n13338 19987\n17743 26621\n20537 30830\n69604 100000\n17941 26925\n98090 100000\n12512 18748\n81510 100000\n69652 100000\n33167 49789\n17910 26879\n81420 100000\n53675 80540\n72391 100000\n85844 100000\n24355 36561\n54613 81923\n34584 51920\n20566 30871\n84316 100000\n35927 53925\n4908 7376\n17764 26657\n652 989\n29843 44790\n13022 19515\n65588 98381\n31436 47201\n53096 79677\n90786 100000\n562 848\n13462 20164\n28318 42518\n69896 100000\n63180 94772\n98492 100000\n32553 48871\n10796 16159\n2263 3393\n71767 100000\n76363 100000\n2394 3594\n60445 90689\n99554 100000\n20778 31181\n69107 100000\n85534 100000\n49224 73921\n68970 100000\n18611 27933\n865 1303\n47000 70583\n1223 1818\n85643 100000\n86509 100000\n80098 100000\n17376 26064\n60654 90997\n74530 100000\n46306 69533\n28725 43118\n92247 100000\n63918 95871\n23629 35471\n80580 100000\n10746 16082\n88376 100000\n3968 5983\n51777 77704\n89650 100000\n97710 100000\n8659 12967\n74333 100000\n86495 100000\n16897 25324\n86073 100000\n42133 63271\n91365 100000\n19971 29965\n63124 94693\n6535 9816\n39050 58604\n74632 100000\n78977 100000\n7373 11075\n72225 100000\n8141 12207\n1333 1977\n98701 100000\n25548 38328\n6994 10499\n50728 76129\n16381 24526\n42217 63397\n57410 86121\n90290 100000\n85400 100000\n51039 76596\n91184 100000\n59429 89184\n50684 76058\n68982 100000\n22228 33388\n49677 74580\n66233 99359\n58535 87843\n25862 38789\n51216 76855\n58723 88139\n39472 59245\n58882 88374\n79809 100000\n35046 52612\n56949 85438\n54188 81307\n90437 100000\n72025 100000\n46341 69589\n6311 9480\n92287 100000\n52208 78344\n81832 100000\n77112 100000\n34306 51509\n31156 46787\n31973 48005\n55898 83858\n59366 89086\n84469 100000\n29697 44576\n53119 79712\n33914 50930\n17114 25653\n81658 100000\n45931 68963\n46010 69081\n34868 52353\n88327 100000\n97735 100000\n33410 50151\n67756 100000\n93099 100000\n29296 43979\n72893 100000\n38376 57578\n82639 100000\n22498 33784\n49856 74846\n77054 100000\n26640 39964\n75831 100000\n98258 100000\n4815 7232\n34239 51407\n50245 75413\n35312 53011\n33106 49696\n60781 91185\n84638 100000\n74606 100000\n16600 24877\n52305 78481\n20322 30495\n96495 100000\n85585 100000\n54414 81634\n35268 52947\n58455 87726\n75142 100000\n11542 17275\n42144 63289\n94639 100000\n53365 80064\n92023 100000\n9128 13662\n66999 100000\n61553 92343\n19631 29462\n90466 100000\n43931 65976\n33997 51058\n57279 85925\n49503 74331\n47989 72072\n46717 70166\n14313 21424\n96650 100000\n97212 100000\n37522 56309\n720 1085\n91278 100000\n61655 92489\n76854 100000\n15599 23361\n1589 2379\n36816 55235\n59700 89585\n95799 100000\n63445 95161\n69142 100000\n90408 100000\n779 1169\n76573 100000\n6537 9820\n24002 36035\n22333 33538\n99374 100000\n91923 100000\n11141 16678\n37373 56087\n28825 43274\n62557 93857\n62076 93125\n58431 87686\n4751 7146\n53462 80220\n60539 90825\n62166 93262\n49714 74634\n88410 100000\n50254 75428\n50688 76064\n70310 100000\n63108 94669\n66173 99268\n62377 93582\n76867 100000\n51616 77458\n46920 70465\n83803 100000\n66327 99492\n58045 87080\n9948 14879\n18557 27852\n7357 11050\n7057 10597\n17014 25505\n90271 100000\n4788 7195\n50021 75077\n43560 65420\n49479 74292\n40606 60942\n1597 2391\n97237 100000\n74551 100000\n73989 100000\n97920 100000\n54392 81605\n44080 66199\n40081 60152\n24888 37365\n63494 95238\n76396 100000\n12111 18138\n95859 100000\n31889 47878\n27634 41470\n52392 78618\n69193 100000\n42687 64122\n86890 100000\n42354 63614\n30373 45596\n19311 28970\n93130 100000\n17745 26625\n54290 81462\n24104 36192\n98667 100000\n84283 100000\n15373 23023\n44984 67556\n77748 100000\n22627 33978\n88075 100000\n13866 20748\n18900 28351\n38701 58080\n62212 93331\n6103 9172\n36084 54157\n94475 100000\n39177 58798\n93633 100000\n20393 30604\n27098 40664\n79258 100000\n51396 77125\n61928 92895\n54599 81903\n74113 100000\n54324 81517\n11057 16554\n34825 52288\n96198 100000\n62366 93564\n48546 72905\n65982 98983\n76261 100000\n76655 100000\n30006 45042\n93410 100000\n45581 68435\n90358 100000\n61873 92814\n4272 6427\n76607 100000\n84746 100000\n42592 63973\n47898 71942\n6432 9661\n57647 86481\n6521 9794\n31656 47521\n56948 85436\n88518 100000\n27562 41369\n73626 100000\n22275 33459\n77919 100000\n34037 51121\n27199 40813\n41659 62558\n3207 4826\n26332 39508\n58466 87744\n23392 35115\n85820 100000\n80229 100000\n33839 50810\n9118 13649\n20220 30341\n17905 26870\n97786 100000\n24867 37335\n51199 76834\n56938 85422\n73053 100000\n98313 100000\n25728 38591\n25101 37681\n20766 31163\n2034 3046\n11552 17289\n90685 100000\n97548 100000\n59381 89110\n25670 38510\n89092 100000\n89843 100000\n15981 23928\n94524 100000\n99623 100000\n42487 63821\n89669 100000\n44696 67108\n67665 100000\n91791 100000\n59914 89902\n11069 16571\n22489 33771\n39600 59437\n3877 5839\n4105 6188\n78816 100000\n52984 79509\n53299 79968\n70764 100000\n2884 4332\n61128 91697\n97806 100000\n74885 100000\n60346 90539\n7880 11832\n19444 29179\n79183 100000\n49579 74437\n4098 6176\n59902 89882\n48120 72262\n31147 46773\n92288 100000\n88724 100000\n95208 100000\n55989 83997\n89005 100000\n80831 100000\n5045 7579\n66325 99489\n55592 83404\n42401 63691\n7204 10819\n33142 49752\n16523 24751\n27368 41067\n70664 100000\n72662 100000\n89682 100000\n33733 50646\n95152 100000\n45691 68602\n4426 6661\n72682 100000\n85868 100000\n67002 100000\n45953 68995\n47452 71272\n47563 71434\n95473 100000\n47667 71591\n82312 100000\n89790 100000\n11089 16601\n56220 84345\n24717 37112\n10828 16206\n48013 72108\n67471 100000\n82454 100000\n52676 79050\n583 881\n23206 34840\n32223 48378\n47873 71898\n18528 27806\n81850 100000\n73332 100000\n19430 29157\n60266 90419\n29418 44159\n87551 100000\n76616 100000\n49616 74493\n52642 78997\n63850 95765\n2902 4361\n91718 100000\n59567 89385\n71161 100000\n13226 19818\n4292 6458\n17144 25704\n38893 58369\n17137 25693\n74687 100000\n13024 19518\n49685 74593\n16988 25467\n16020 23985\n33002 49544\n13363 20026\n19395 29099\n52045 78109\n59201 88836\n73034 100000\n76530 100000\n71871 100000\n96969 100000\n60527 90810\n43730 65675\n12088 18105\n77265 100000\n16206 24268\n11450 17136\n5755 8654\n52053 78121\n89922 100000\n8888 13306\n65107 97658\n51668 77546\n94386 100000\n48601 72995\n56247 84385\n85892 100000\n38232 57372\n53684 80553\n31495 47288\n24830 37282\n86821 100000\n69654 100000\n97418 100000\n12498 18725\n97939 100000\n54843 82265\n83326 100000\n74017 100000\n50297 75491\n73171 100000\n47321 71072\n98580 100000\n43468 65286\n40602 60937\n47995 72081\n88134 100000\n12740 19087\n70772 100000\n71828 100000\n27175 40775\n67764 100000\n21485 32245\n53102 79685\n92985 100000\n7707 11578\n23101 34687\n12414 18596\n57500 86262\n11322 16950\n39248 58905\n69747 100000\n69323 100000\n64097 96147\n81653 100000\n50929 76431\n70167 100000\n66389 99589\n99318 100000\n80240 100000\n18259 27394\n39330 59028\n79208 100000\n4258 6405\n4102 6183\n18304 27463\n86444 100000\n64064 96099\n21508 32281\n16593 24864\n31146 46772\n60249 90399\n70881 100000\n39560 59374\n78585 100000\n14017 20982\n28575 42900\n52350 78553\n55939 83918\n1121 1668\n520 783\n57803 86715\n69388 100000\n32460 48742\n43651 65557\n64204 96304\n39692 59571\n99211 100000\n89710 100000\n28892 43377\n83211 100000\n82538 100000\n98911 100000\n45189 67852\n71494 100000\n58918 88423\n41021 61576\n20107 30165\n33175 49801\n4825 7246\n34926 52436\n33218 49863\n4100 6179\n69329 100000\n128 195\n26604 39913\n12989 19462\n7077 10625\n5537 8332\n1878 2817\n92120 100000\n6540 9824\n63035 94554\n39665 59531\n39403 59141\n54806 82208\n94206 100000\n74649 100000\n41813 62795\n34683 52071\n404 613\n49656 74548\n28572 42896\n54302 81481\n2777 4172\n50005 75057\n32641 49008\n44218 66411\n50493 75777\n9368 14024\n4943 7430\n57306 85963\n63048 94575\n9193 13762\n95686 100000\n40020 60062\n78496 100000\n20356 30547\n41669 62572\n25333 38023\n68867 100000\n97268 100000\n56434 84673\n71856 100000\n91805 100000\n73306 100000\n65826 98740\n53490 80266\n28812 43252\n4141 6236\n42394 63677\n28877 43353\n13028 19522\n75540 100000\n15059 22543\n61758 92640\n22528 33828\n21988 33027\n6667 10012\n7273 10923\n73061 100000\n41189 61839\n94177 100000\n53308 79982\n35796 53728\n66588 99876\n26913 40379\n91163 100000\n37792 56720\n57166 85764\n30025 45071\n3245 4880\n80594 100000\n64989 97484\n72453 100000\n70916 100000\n62786 94192\n91084 100000\n43947 65999\n44396 66678\n35687 53564\n27134 40717\n25235 37888\n11557 17297\n1968 2951\n33216 49860\n77478 100000\n55382 83079\n33172 49796\n73609 100000\n52629 78977\n73891 100000\n51703 77594\n24691 37075\n85276 100000\n27583 41398\n84307 100000\n5828 8762\n80153 100000\n1769 2654\n39605 59443\n9997 14946\n20521 30807\n62820 94244\n33666 50540\n21393 32108\n3956 5963\n91414 100000\n94896 100000\n25845 38764\n69343 100000\n77094 100000\n19367 29057\n45582 68437\n77033 100000\n4071 6138\n71302 100000\n7396 11110\n45756 68700\n31163 46795\n19861 29803\n27627 41461\n75260 100000\n61555 92345\n20284 30440\n40743 61156\n32431 48694\n83098 100000\n83138 100000\n62025 93039\n67752 100000\n45056 67663\n874 1315\n64633 96949\n84684 100000\n93546 100000\n7163 10752\n80479 100000\n19028 28545\n36589 54910\n94816 100000\n63396 95089\n42842 64356\n66984 100000\n11775 17630\n65797 98697\n34588 51925\n89492 100000\n42684 64116\n63353 95026\n16958 25420\n35761 53674\n18701 28066\n78432 100000\n30315 45511\n26270 39411\n68389 100000\n76307 100000\n16101 24112\n78928 100000\n6375 9576\n80872 100000\n49559 74413\n35389 53123\n62458 93704\n77247 100000\n94709 100000\n12578 18846\n51429 77176\n95756 100000\n48600 72993\n10944 16380\n19065 28602\n3090 4646\n5908 8883\n40746 61160\n74231 100000\n26726 40097\n89286 100000\n4044 6099\n80045 100000\n211 321\n49280 74002\n25968 38947\n43209 64908\n21057 31600\n16706 25032\n29031 43590\n93336 100000\n88954 100000\n80236 100000\n8724 13064\n77924 100000\n34641 52005\n20643 30986\n77632 100000\n96125 100000\n10587 15833\n98957 100000\n34226 51390\n72471 100000\n43731 65676\n4318 6498\n20613 30947\n40883 61374\n49165 73840\n1600 2395\n98125 100000\n81923 100000\n43092 64733\n82638 100000\n61091 91642\n58408 87652\n2942 4427\n73866 100000\n40523 60814\n53564 80377\n47032 70636\n48173 72341\n20935 31418\n11496 17206\n63121 94688\n12790 19166\n37161 55760\n515 777\n55392 83095\n98537 100000\n36642 54985\n39491 59273\n66673 99997\n84493 100000\n93867 100000\n53986 81009\n22921 34412\n59021 88571\n89187 100000\n97950 100000\n31574 47402\n5077 7630\n27928 41923\n92941 100000\n78506 100000\n47609 71506\n5213 7830\n33989 51044\n7959 11943\n31530 47337\n84317 100000\n15215 22780\n19087 28636\n56496 84767\n98995 100000\n822 1237\n99857 100000\n40161 60272\n39477 59251\n33713 50611\n87514 100000\n30418 45670\n73026 100000\n42337 63587\n31991 48030\n23075 34649\n53876 80841\n16946 25401\n63193 94791\n36021 54065\n97430 100000\n94545 100000\n64772 97158\n87042 100000\n38351 57547\n60223 90362\n9788 14641\n15683 23484\n45640 68526\n11825 17711\n17035 25535\n21298 31963\n86943 100000\n15481 23194\n75128 100000\n95718 100000\n15448 23140\n18452 27693\n58927 88434\n55022 82527\n3229 4859\n62885 94340\n8259 12387\n73002 100000\n81462 100000\n65583 98373\n84041 100000\n65233 97843\n99047 100000\n10390 15532\n8414 12611\n54311 81496\n92947 100000\n14109 21120\n10015 14972\n56871 85316\n22877 34342\n13005 19487\n85460 100000\n11818 17702\n77473 100000\n23558 35365\n72356 100000\n26150 39224\n979 1464\n6832 10256\n43668 65578\n39381 59109\n5968 8969\n53784 80710\n78394 100000\n38022 57063\n80050 100000\n90696 100000\n83603 100000\n82752 100000\n7702 11569\n42073 63181\n27981 42005\n92063 100000\n55985 83991\n24546 36859\n36320 54507\n98570 100000\n76108 100000\n82801 100000\n49319 74054\n2982 4487\n8036 12056\n69112 100000\n50363 75590\n507 764\n52843 79306\n59456 89222\n75401 100000\n98546 100000\n5380 8084\n97702 100000\n24594 36929\n24286 36448\n82497 100000\n88770 100000\n8353 12520\n46546 69915\n18702 28067\n95482 100000\n19049 28575\n98376 100000\n46880 70409\n82360 100000\n24703 37094\n67221 100000\n31757 47673\n79902 100000\n51414 77154\n92845 100000\n49842 74824\n38367 57567\n35469 53245\n23267 34930\n92681 100000\n93149 100000\n54904 82353\n97921 100000\n59249 88910\n6963 10452\n19293 28943\n38233 57373\n11760 17609\n98055 100000\n52919 79417\n94065 100000\n40631 60982\n41360 62102\n99714 100000\n10812 16181\n37891 56868\n51947 77956\n98416 100000\n90968 100000\n16859 25264\n50706 76090\n98121 100000\n80029 100000\n81664 100000\n39377 59104\n91921 100000\n68531 100000\n11995 17975\n82257 100000\n26277 39423\n6102 9170\n18926 28394\n93938 100000\n30628 45992\n64723 97087\n66215 99334\n96093 100000\n93314 100000\n77169 100000\n69761 100000\n51780 77709\n33136 49744\n42506 63849\n88199 100000\n6620 9936\n80915 100000\n8287 12431\n4612 6936\n48658 73079\n32710 49105\n69032 100000\n36718 55093\n52164 78284\n89529 100000\n92337 100000\n568 857\n68665 100000\n7985 11982\n38254 57400\n98495 100000\n66134 99209\n39979 60000\n97553 100000\n82484 100000\n43827 65818\n55317 82982\n76070 100000\n64363 96545\n2401 3603\n29451 44208\n9404 14079\n5657 8511\n36205 54330\n63470 95199\n21201 31816\n57983 86985\n63488 95227\n77418 100000\n69763 100000\n84774 100000\n79858 100000\n98034 100000\n89251 100000\n40305 60485\n63036 94556\n50849 76314\n90047 100000\n64785 97178\n71656 100000\n20752 31141\n64020 96030\n39846 59804\n10287 15380\n3861 5814\n35807 53747\n61866 92805\n99546 100000\n6090 9152\n26995 40499\n15458 23159\n84070 100000\n87993 100000\n62339 93521\n46846 70359\n70188 100000\n75327 100000\n84094 100000\n50149 75270\n37729 56623\n32995 49533\n8976 13434\n73564 100000\n27784 41704\n76528 100000\n60656 91000\n83801 100000\n48509 72855\n70509 100000\n77922 100000\n7992 11990\n91406 100000\n87391 100000\n57544 86324\n33455 50217\n5522 8308\n77686 100000\n35865 53832\n98031 100000\n18857 28295\n94247 100000\n94688 100000\n98520 100000\n58135 87230\n68256 100000\n6343 9528\n42152 63302\n70784 100000\n52581 78901\n58645 88018\n84597 100000\n99955 100000\n50990 76524\n7897 11855\n38198 57321\n96736 100000\n64181 96269\n41501 62320\n93433 100000\n49318 74052\n4429 6666\n10477 15665\n909 1369\n17350 26027\n22217 33370\n32865 49337\n32032 48094\n36099 54180\n71256 100000\n68576 100000\n76079 100000\n67362 100000\n73204 100000\n44724 67148\n68951 100000\n24422 36662\n62967 94458\n1518 2273\n14694 21992\n89761 100000\n78151 100000\n44966 67525\n21018 31538\n42991 64581\n21943 32959\n52721 79116\n66510 99761\n42459 63777\n84896 100000\n74651 100000\n93779 100000\n20291 30450\n90728 100000\n16545 24787\n88449 100000\n68616 100000\n82678 100000\n85939 100000\n65605 98409\n83197 100000\n89433 100000\n70362 100000\n371 562\n24020 36064\n43983 66053\n84577 100000\n53187 79810\n46050 69140\n291 438\n94520 100000\n62696 94063\n13009 19494\n46818 70318\n62576 93887\n94502 100000\n51631 77483\n2869 4309\n77354 100000\n17907 26874\n82268 100000\n19192 28795\n46967 70531\n16570 24829\n50115 75217\n85570 100000\n57131 85713\n44363 66628\n50894 76382\n54970 82453\n22985 34509\n75621 100000\n6894 10353\n65433 98150\n3668 5522\n14735 22056\n40040 60092\n45500 68319\n64315 96476\n25771 38659\n13276 19895\n73384 100000\n3215 4837\n19470 29219\n65011 97516\n99496 100000\n29722 44610\n81146 100000\n22304 33500\n64735 97104\n73310 100000\n67212 100000\n83544 100000\n27394 41106\n43457 65268\n70643 100000\n87733 100000\n43935 65982\n28397 42636\n43776 65741\n4266 6417\n14734 22054\n7492 11256\n50276 75460\n76272 100000\n37549 56353\n21748 32657\n1214 1805\n23109 34699\n98008 100000\n66690 100000\n21056 31599\n11917 17856\n50189 75328\n43312 65065\n60055 90115\n85556 100000\n2949 4438\n5954 8948\n9075 13581\n92094 100000\n99178 100000\n15591 23353\n60068 90133\n45105 67730\n14003 20959\n12167 18219\n34767 52199\n70873 100000\n32242 48409\n26822 40244\n23302 34982\n88121 100000\n4150 6247\n47542 71406\n85316 100000\n3166 4759\n2091 3134\n83668 100000\n17590 26384\n38938 58436\n85432 100000\n23000 34532\n82233 100000\n35083 52667\n17547 26319\n4769 7172\n78967 100000\n97561 100000\n40472 60736\n96976 100000\n67148 100000\n65445 98169\n48507 72851\n48720 73172\n21707 32591\n62669 94020\n67175 100000\n25813 38719\n75608 100000\n1085 1617\n49810 74778\n69657 100000\n79869 100000\n85831 100000\n99915 100000\n82288 100000\n41758 62713\n59455 89221\n73681 100000\n48064 72186\n51504 77285\n32385 48622\n31745 47654\n64387 96581\n54614 81925\n79297 100000\n79353 100000\n52183 78307\n95050 100000\n56080 84133\n8530 12780\n28988 43525\n797 1197\n12707 19035\n70444 100000\n86438 100000\n48612 73009\n99750 100000\n7656 11498\n8730 13072\n23705 35581\n36184 54299\n53327 80012\n77529 100000\n28760 43173\n14656 21937\n12448 18647\n28015 42053\n19811 29731\n54371 81578\n78729 100000\n77256 100000\n19602 29421\n88098 100000\n92257 100000\n63211 94817\n3113 4679\n6888 10345\n85824 100000\n58699 88101\n68300 100000\n9982 14924\n96708 100000\n77250 100000\n33884 50883\n35722 53613\n60361 90564\n33841 50813\n91888 100000\n91034 100000\n82778 100000\n71527 100000\n83815 100000\n38866 58327\n67949 100000\n55126 82697\n38482 57742\n71939 100000\n72278 100000\n18066 27100\n10578 15822\n82890 100000\n25735 38603\n46278 69492\n34210 51366\n16056 24043\n32237 48400\n91459 100000\n98587 100000\n48337 72585\n75474 100000\n99757 100000\n76912 100000\n47122 70774\n39328 59026\n76779 100000\n53700 80580\n35010 52562\n78156 100000\n38227 57363\n61896 92846\n60061 90124\n22868 34328\n99789 100000\n28135 42238\n19338 29011\n53946 80949\n49130 73784\n21028 31555\n37933 56934\n92678 100000\n38645 57988\n12527 18770\n11455 17145\n31126 46743\n54993 82489\n72565 100000\n3605 5426\n53936 80937\n25427 38158\n94253 100000\n99418 100000\n75965 100000\n46322 69558\n61537 92317\n59741 89649\n66615 99913\n11225 16801\n70483 100000\n23007 34541\n6474 9723\n44098 66227\n21127 31707\n3233 4864\n92865 100000\n61465 92206\n59096 88677\n42029 63117\n39044 58597\n87799 100000\n22417 33657\n39751 59665\n26978 40475\n33079 49657\n36256 54410\n73408 100000\n52422 78662\n37263 55921\n2900 4357\n64182 96270\n48333 72578\n74471 100000\n63713 95566\n32373 48606\n48320 72560\n68436 100000\n65153 97730\n57580 86379\n6426 9653\n36192 54312\n44071 66185\n13043 19546\n29156 43776\n98029 100000\n96803 100000\n8937 13379\n15276 22868\n49128 73780\n76379 100000\n1618 2419\n58697 88097\n65167 97750\n46576 69959\n9605 14369\n68458 100000\n34428 51689\n54632 81950\n69454 100000\n3015 4534\n16392 24540\n75448 100000\n45928 68960\n72568 100000\n3998 6029\n54330 81524\n64468 96717\n50804 76247\n45983 69042\n57567 86361\n42430 63736\n6681 10033\n92163 100000\n41982 63045\n83139 100000\n62142 93225\n10028 14990\n96755 100000\n34060 51158\n36778 55179\n20024 30037\n94590 100000\n81942 100000\n60700 91063\n83247 100000\n2041 3057\n54418 81640\n26866 40312\n86699 100000\n27569 41378\n76602 100000\n6394 9600\n86834 100000\n6070 9120\n40808 61256\n64552 96832\n300 454\n88611 100000\n16613 24897\n54262 81421\n96986 100000\n90862 100000\n14144 21175\n1076 1606\n50464 75733\n48822 73319\n34463 51740\n96552 100000\n83821 100000\n12792 19169\n57248 85879\n34933 52446\n37742 56643\n45483 68295\n96003 100000\n5621 8461\n52201 78334\n65636 98458\n69807 100000\n22940 34442\n48199 72377\n46641 70055\n70563 100000\n2724 4094\n71961 100000\n2556 3836\n34954 52478\n69319 100000\n58573 87906\n97147 100000\n46238 69430\n37081 55645\n48437 72739\n16301 24410\n78427 100000\n82098 100000\n56737 85125\n98633 100000\n78833 100000\n8914 13347\n46895 70429\n84970 100000\n67629 100000\n5044 7578\n15386 23043\n49342 74084\n77353 100000\n67866 100000\n78885 100000\n50190 75329\n27453 41197\n14847 22223\n97523 100000\n31806 47752\n25745 38619\n58750 88175\n33963 51003\n67291 100000\n88726 100000\n20833 31262\n87845 100000\n81372 100000\n21754 32666\n37869 56836\n1537 2300\n97256 100000\n10837 16221\n9061 13560\n82953 100000\n88523 100000\n26645 39972\n11372 17021\n65437 98157\n68884 100000\n14677 21968\n20236 30365\n50002 75052\n44421 66713\n89717 100000\n70609 100000\n25979 38963\n6501 9765\n75403 100000\n10527 15742\n10769 16118\n98590 100000\n84809 100000\n52296 78470\n6738 10117\n60869 91313\n8158 12235\n59168 88785\n38907 58389\n18995 28502\n5422 8151\n43325 65083\n49956 74983\n78918 100000\n99755 100000\n54814 82219\n92008 100000\n10743 16078\n19556 29352\n14203 21268\n37616 56460\n73778 100000\n84569 100000\n90714 100000\n18548 27838\n76317 100000\n29014 43566\n17750 26635\n33673 50548\n75796 100000\n97617 100000\n19572 29373\n74515 100000\n47809 71802\n46287 69505\n79338 100000\n81126 100000\n77883 100000\n70178 100000\n20588 30910\n43303 65048\n16448 24630\n24761 37178\n32488 48780\n54001 81033\n92032 100000\n53369 80071\n30176 45301\n43251 64971\n75036 100000\n51543 77347\n6372 9570\n41398 62162\n58686 88083\n47414 71212\n28991 43529\n65093 97637\n48076 72202\n38790 58219\n84042 100000\n23024 34568\n90756 100000\n35995 54022\n45656 68546\n601 910\n94135 100000\n47696 71637\n77099 100000\n17748 26631\n43058 64681\n15790 23642\n67545 100000\n59529 89329\n4397 6621\n53709 80592\n7533 11317\n35194 52835\n82870 100000\n70094 100000\n71573 100000\n92639 100000\n73855 100000\n26121 39174\n59892 89868\n87089 100000\n25375 38080\n36270 54430\n78807 100000\n85292 100000\n40687 61071\n17572 26354\n46358 69617\n44804 67270\n31331 47040\n63429 95137\n60158 90267\n39150 58758\n50612 75954\n4223 6353\n74026 100000\n12725 19063\n11076 16582\n78315 100000\n52427 78671\n39590 59424\n62667 94018\n45217 67895\n11171 16721\n26117 39168\n60665 91011\n30332 45537\n89736 100000\n29533 44332\n98330 100000\n71991 100000\n65378 98070\n84362 100000\n39909 59904\n95914 100000\n24250 36396\n14836 22209\n79814 100000\n33809 50765\n30275 45455\n12022 18016\n60222 90360\n47276 71005\n67345 100000\n31348 47067\n26901 40361\n60196 90325\n75606 100000\n82839 100000\n91130 100000\n69888 100000\n27139 40725\n74492 100000\n9179 13742\n51193 76824\n29713 44598\n37888 56864\n44599 66970\n43044 64663\n80307 100000\n44671 67074\n57969 86966\n74567 100000\n37261 55917\n67053 100000\n40462 60721\n75052 100000\n45722 68647\n60069 90134\n83831 100000\n78853 100000\n90162 100000\n42900 64440\n68381 100000\n15678 23477\n6707 10069\n81177 100000\n92980 100000\n66369 99558\n41071 61654\n88028 100000\n11350 16989\n61185 91782\n35806 53746\n95881 100000\n15403 23069\n60516 90796\n21414 32141\n52673 79045\n40659 61023\n22531 33833\n57353 86035\n70232 100000\n65370 98058\n10323 15435\n82705 100000\n27504 41282\n76594 100000\n69036 100000\n52039 78100\n61516 92286\n87003 100000\n35595 53436\n87022 100000\n46109 69229\n85682 100000\n17380 26068\n56594 84911\n99730 100000\n65654 98482\n76335 100000\n96525 100000\n55505 83272\n2865 4301\n7257 10898\n3519 5299\n99685 100000\n45969 69021\n95753 100000\n31075 46668\n54861 82291\n36170 54281\n57337 86010\n49417 74197\n67608 100000\n67981 100000\n21655 32514\n5958 8953\n63420 95124\n88103 100000\n84504 100000\n1671 2505\n53242 79887\n475 719\n82050 100000\n26979 40476\n43348 65113\n54630 81947\n16117 24136\n89106 100000\n35770 53686\n26758 40147\n74622 100000\n72004 100000\n76127 100000\n31511 47309\n92607 100000\n18414 27634\n38943 58443\n14638 21909\n33231 49883\n29557 44367\n45183 67844\n36623 54957\n4656 7003\n31807 47754\n21651 32508\n14937 22359\n41805 62782\n59462 89229\n9950 14883\n23345 35048\n66256 99389\n98437 100000\n38164 57274\n5767 8671\n42538 63895\n30310 45505\n31521 47322\n38258 57407\n16130 24155\n37520 56306\n12469 18679\n56707 85082\n41488 62298\n96577 100000\n47937 71996\n47731 71688\n10322 15433\n19278 28921\n77422 100000\n96636 100000\n73058 100000\n56334 84518\n77056 100000\n34120 51241\n77239 100000\n39620 59463\n1698 2546\n2071 3101\n48088 72216\n39422 59165\n29148 43764\n49202 73890\n88083 100000\n85430 100000\n50619 75964\n84619 100000\n49041 73648\n26793 40202\n97108 100000\n76273 100000\n1198 1783\n43915 65952\n62718 94094\n40848 61319\n70977 100000\n36486 54755\n57882 86838\n8702 13034\n34476 51759\n92347 100000\n65633 98455\n46562 69938\n22641 33995\n61773 92661\n10366 15496\n21125 31703\n20663 31014\n64975 97464\n94267 100000\n84311 100000\n82949 100000\n34793 52237\n22891 34363\n42316 63551\n29604 44435\n1954 2927\n69612 100000\n94526 100000\n33376 50102\n31924 47929\n46142 69278\n61768 92655\n84881 100000\n16519 24743\n91835 100000\n60290 90453\n35290 52978\n379 575\n66099 99154\n11588 17342\n57586 86387\n27586 41402\n35653 53518\n93248 100000\n95633 100000\n38407 57629\n89464 100000\n44903 67425\n23029 34576\n19157 28747\n71657 100000\n4755 7151\n83792 100000\n17693 26546\n73075 100000\n64272 96411\n39096 58674\n72132 100000\n50172 75304\n58921 88427\n55180 82783\n20731 31110\n92739 100000\n53275 79932\n79461 100000\n75120 100000\n12634 18931\n86827 100000\n39368 59088\n47915 71964\n74464 100000\n22966 34480\n89231 100000\n66227 99349\n1575 2357\n78721 100000\n85057 100000\n26709 40072\n20163 30251\n42156 63309\n83685 100000\n90905 100000\n4085 6158\n81414 100000\n8833 13224\n24708 37101\n65701 98555\n97419 100000\n98709 100000\n29005 43551\n57357 86042\n30569 45901\n36377 54591\n51956 77971\n56311 84481\n93196 100000\n79134 100000\n58035 87065\n29149 43766\n54298 81475\n96527 100000\n9924 14840\n4023 6067\n47123 70775\n57033 85576\n784 1177\n66053 99083\n51033 76589\n85351 100000\n56513 84791\n31791 47729\n5518 8301\n43242 64958\n96826 100000\n49466 74269\n42294 63513\n5232 7859\n33980 51031\n20856 31297\n56720 85101\n48991 73575\n40350 60558\n64946 97424\n10815 16184\n81988 100000\n59086 88664\n57369 86059\n91416 100000\n55621 83449\n54936 82405\n46629 70038\n19673 29524\n8521 12766\n50597 75931\n77288 100000\n7303 10967\n60280 90439\n67782 100000\n6118 9195\n82413 100000\n54446 81684\n85704 100000\n93468 100000\n35459 53228\n59640 89492\n38602 57928\n80838 100000\n2291 3437\n57255 85888\n82794 100000\n24552 36866\n42656 64070\n82640 100000\n12098 18118\n34165 51299\n75270 100000\n70211 100000\n20095 30146\n68775 100000\n95575 100000\n79096 100000\n37338 56030\n7171 10765\n25197 37827\n92510 100000\n92989 100000\n38175 57290\n50262 75440\n20134 30207\n99562 100000\n38639 57979\n38558 57862\n9426 14115\n57875 86828\n13331 19976\n56021 84045\n10699 16010\n20206 30318\n90244 100000\n81159 100000\n20133 30205\n65723 98591\n42878 64409\n94558 100000\n18744 28130\n88609 100000\n80716 100000\n82846 100000\n32134 48249\n36232 54369\n31755 47669\n20454 30703\n9453 14152\n65150 97725\n6662 10005\n73963 100000\n71700 100000\n95359 100000\n95187 100000\n36598 54924\n66521 99778\n97361 100000\n63393 95085\n64929 97395\n47986 72068\n62958 94441\n19908 29871\n81875 100000\n30314 45510\n61938 92909\n17577 26361\n48878 73400\n42987 64577\n94180 100000\n84119 100000\n88422 100000\n66386 99586\n56175 84282\n14782 22126\n21347 32037\n14146 21178\n485 733\n75297 100000\n28348 42560\n91128 100000\n220 333\n47259 70982\n54108 81190\n88879 100000\n12299 18414\n18291 27443\n57691 86544\n26011 39013\n84562 100000\n6110 9182\n40384 60609\n22753 34158\n51706 77598\n38506 57781\n95173 100000\n47058 70678\n75173 100000\n41660 62559\n80705 100000\n10250 15324\n39613 59454\n18677 28028\n83078 100000\n78491 100000\n43543 65392\n77683 100000\n28837 43293\n82976 100000\n90796 100000\n81193 100000\n43640 65538\n24309 36485\n6195 9308\n14012 20972\n57308 85966\n97073 100000\n60530 90813\n63436 95149\n42161 63316\n67419 100000\n76794 100000\n67200 100000\n48827 73326\n54214 81348\n67837 100000\n58790 88232\n42798 64294\n53366 80065\n4949 7440\n95357 100000\n91286 100000\n32056 48132\n92259 100000\n82350 100000\n16031 24002\n62108 93171\n86293 100000\n3718 5596\n84549 100000\n24873 37345\n40218 60352\n5333 8015\n97760 100000\n43478 65299\n54060 81118\n81560 100000\n7476 11233\n91955 100000\n24700 37090\n24733 37133\n8415 12613\n55545 83336\n42269 63474\n70415 100000\n14952 22381\n21465 32215\n26730 40104\n66331 99497\n81813 100000\n49115 73762\n29038 43600\n80434 100000\n92718 100000\n51321 77011\n61609 92423\n10506 15710\n3955 5962\n69954 100000\n45721 68646\n71064 100000\n71106 100000\n94588 100000\n58297 87480\n28430 42687\n86618 100000\n63009 94519\n69914 100000\n34141 51269\n63611 95412\n17461 26195\n61491 92250\n4593 6908\n10204 15255\n66200 99310\n20489 30758\n25577 38373\n69275 100000\n22811 34243\n17751 26636\n28670 43044\n14962 22397\n4921 7396\n35793 53723\n72207 100000\n29281 43956\n26206 39317\n13851 20727\n93736 100000\n54788 82181\n33281 49963\n45247 67938\n11669 17469\n77812 100000\n20283 30438\n13795 20642\n35102 52695\n13026 19520\n7710 11581\n32811 49261\n10134 15157\n97297 100000\n85827 100000\n87464 100000\n4291 6456\n95648 100000\n70981 100000\n78950 100000\n16458 24647\n49611 74485\n90354 100000\n56918 85389\n95946 100000\n6690 10045\n76205 100000\n79574 100000\n14334 21456\n26984 40483\n80123 100000\n60783 91189\n78217 100000\n78805 100000\n43115 64769\n69924 100000\n28628 42982\n79242 100000\n72168 100000\n3342 5027\n58522 87826\n33052 49622\n87411 100000\n78281 100000\n49437 74226\n68906 100000\n88085 100000\n29551 44360\n47016 70610\n7372 11074\n76737 100000\n86230 100000\n37249 55900\n95058 100000\n31573 47401\n48382 72654\n61276 91921\n91055 100000\n18894 28344\n97140 100000\n7127 10694\n34405 51658\n38986 58513\n18832 28258\n31136 46757\n91152 100000\n17239 25855\n88758 100000\n13304 19936\n87045 100000\n61468 92212\n47361 71131\n56415 84642\n82565 100000\n92029 100000\n67506 100000\n86718 100000\n71309 100000\n32976 49504\n54351 81552\n54760 82139\n93040 100000\n91881 100000\n16922 25363\n36866 55315\n12868 19282\n22138 33255\n79351 100000\n50752 76167\n80015 100000\n59117 88710\n96939 100000\n18684 28040\n97425 100000\n87397 100000\n71063 100000\n98397 100000\n72929 100000\n66555 99830\n16761 25113\n48940 73499\n23471 35237\n18022 27036\n27960 41972\n28091 42173\n85742 100000\n26966 40459\n52839 79301\n99361 100000\n24838 37292\n67285 100000\n78743 100000\n94623 100000\n37386 56105\n52325 78514\n71650 100000\n19390 29091\n68990 100000\n67464 100000\n10817 16186\n28279 42461\n15927 23840\n91860 100000\n46164 69314\n47746 71709\n37116 55694\n86717 100000\n17229 25838\n21959 32985\n49164 73838\n85519 100000\n78249 100000\n61980 92972\n58148 87248\n59106 88694\n37591 56422\n53423 80160\n46872 70396\n42165 63321\n20034 30053\n39483 59261\n86335 100000\n66021 99037\n50789 76226\n5638 8483\n13721 20533\n98444 100000\n70035 100000\n16899 25327\n84156 100000\n11103 16622\n75864 100000\n13780 20618\n21366 32065\n23328 35025\n1893 2838\n71834 100000\n14067 21052\n89335 100000\n93218 100000\n5127 7704\n61408 92118\n7673 11523\n45552 68392\n37467 56229\n30596 45943\n1767 2651\n45922 68951\n40635 60988\n19385 29083\n63015 94526\n27843 41791\n5773 8680\n91106 100000\n21921 32930\n53926 80920\n83401 100000\n72241 100000\n90419 100000\n42119 63249\n30501 45799\n94050 100000\n86960 100000\n2804 4212\n81567 100000\n15568 23318\n23465 35228\n60384 90602\n60273 90429\n87035 100000\n14848 22224\n9367 14023\n96365 100000\n97627 100000\n78831 100000\n30030 45077\n44002 66084\n24362 36572\n69379 100000\n54735 82100\n72691 100000\n53492 80269\n16956 25416\n68240 100000\n55150 82736\n70967 100000\n87822 100000\n52430 78677\n97670 100000\n23577 35392\n12028 18025\n58018 87037\n90711 100000\n26389 39595\n4957 7452\n71219 100000\n28437 42697\n61666 92504\n7385 11094\n1249 1854\n73450 100000\n9987 14931\n95068 100000\n32040 48107\n25038 37592\n4658 7005\n53917 80907\n3332 5012\n64458 96700\n6978 10474\n53510 80297\n63453 95173\n94681 100000\n97509 100000\n46659 70082\n37771 56687\n75720 100000\n36607 54937\n19910 29874\n28094 42178\n69170 100000\n58089 87155\n31846 47813\n34235 51402\n30470 45750\n15588 23348\n51915 77908\n50326 75536\n14019 20986\n60257 90410\n80208 100000\n63366 95045\n68580 100000\n80360 100000\n61521 92293\n56508 84785\n83521 100000\n4425 6659\n55693 83553\n28178 42304\n31214 46867\n81501 100000\n68291 100000\n35912 53903\n74538 100000\n47042 70652\n87053 100000\n75086 100000\n19485 29243\n62884 94339\n36464 54720\n64243 96360\n97316 100000\n95044 100000\n9858 14745\n82698 100000\n65903 98859\n80748 100000\n3930 5923\n60919 91386\n27696 41569\n37383 56101\n34408 51661\n25244 37902\n11708 17532\n19259 28892\n58434 87692\n84946 100000\n83366 100000\n7593 11401\n22431 33680\n24545 36858\n63096 94650\n52485 78760\n10008 14961\n83785 100000\n66188 99293\n46283 69501\n91354 100000\n95938 100000\n24593 36927\n3549 5341\n12746 19094\n79982 100000\n76849 100000\n53622 80465\n46931 70483\n34612 51958\n88842 100000\n15007 22468\n60610 90934\n41436 62219\n50515 75809\n77307 100000\n47583 71463\n92211 100000\n58958 88477\n94333 100000\n39758 59675\n40963 61485\n60513 90790\n14593 21845\n69635 100000\n71863 100000\n62660 94008\n52377 78593\n1572 2352\n29844 44792\n78392 100000\n51346 77049\n29584 44408\n44877 67388\n88729 100000\n80162 100000\n75316 100000\n87328 100000\n54689 82030\n59531 89332\n14080 21075\n46816 70316\n9993 14939\n56053 84096\n80207 100000\n69840 100000\n56734 85121\n27624 41457\n56250 84389\n15490 23206\n6109 9180\n78542 100000\n40950 61469\n86899 100000\n1172 1744\n53206 79834\n33966 51008\n43647 65549\n88320 100000\n56696 85064\n22992 34520\n80353 100000\n753 1133\n21949 32968\n90584 100000\n10142 15169\n90149 100000\n31508 47305\n56722 85104\n30554 45878\n82648 100000\n44705 67121\n38872 58335\n88248 100000\n81786 100000\n21751 32661\n99289 100000\n80658 100000\n17309 25964\n74162 100000\n93133 100000\n231 350\n51696 77584\n26596 39902\n29612 44448\n6273 9422\n69953 100000\n70226 100000\n95706 100000\n67762 100000\n26504 39765\n77960 100000\n54454 81696\n75053 100000\n70683 100000\n8274 12409\n14946 22373\n12280 18388\n71486 100000\n18705 28072\n19187 28788\n67297 100000\n23099 34684\n71175 100000\n67989 100000\n77691 100000\n66114 99176\n32256 48432\n36811 55229\n25639 38464\n78701 100000\n27580 41395\n78106 100000\n68367 100000\n64177 96264\n9346 13993\n36370 54582\n30604 45954\n17372 26059\n11954 17915\n38463 57713\n51386 77109\n49058 73672\n98857 100000\n27543 41339\n27337 41017\n91848 100000\n24955 37470\n43662 65568\n83272 100000\n70717 100000\n81989 100000\n87972 100000\n50269 75448\n65426 98140\n75800 100000\n82549 100000\n29575 44395\n78095 100000\n59257 88921\n55485 83243\n31301 46993\n45319 68042\n7528 11310\n69977 100000\n57099 85669\n44190 66373\n18444 27678\n16207 24270\n10026 14987\n21157 31749\n22686 34060\n3479 5239\n22661 34023\n58532 87839\n87350 100000\n3223 4849\n66310 99465\n99523 100000\n66352 99531\n21492 32254\n13335 19982\n17301 25952\n94770 100000\n64264 96396\n94586 100000\n67392 100000\n88864 100000\n72142 100000\n85229 100000\n20511 30793\n5245 7880\n55961 83954\n52391 78616\n62347 93532\n43385 65169\n6356 9545\n118 178\n70453 100000\n52063 78136\n81181 100000\n89468 100000\n98895 100000\n62139 93221\n37185 55802\n99727 100000\n67184 100000\n82857 100000\n2310 3466\n64914 97371\n98212 100000\n57832 86760\n7843 11778\n98260 100000\n99993 100000\n71646 100000\n3706 5580\n4118 6204\n60779 91183\n47370 71147\n87156 100000\n79799 100000\n70705 100000\n79696 100000\n3654 5500\n72926 100000\n17517 26276\n96609 100000\n40057 60118\n27011 40523\n25094 37672\n19957 29946\n60933 91409\n25973 38955\n76615 100000\n46832 70342\n48366 72631\n16156 24191\n68642 100000\n52684 79062\n60979 91474\n14436 21607\n54756 82134\n51765 77684\n73552 100000\n49773 74722\n33348 50062\n88154 100000\n45077 67692\n85941 100000\n55285 82934\n45594 68456\n69619 100000\n85510 100000\n56056 84101\n32233 48394\n37590 56420\n37026 55566\n46402 69691\n79058 100000\n99052 100000\n31658 47523\n78788 100000\n3468 5225\n603 912\n13089 19612\n99368 100000\n54797 82195\n35388 53122\n34015 51086\n27183 40786\n19596 29411\n58610 87964\n4974 7476\n7817 11738\n87301 100000\n98806 100000\n75375 100000\n49175 73854\n10586 15832\n62412 93633\n2826 4241\n12862 19273\n80199 100000\n58772 88206\n89818 100000\n73731 100000\n3994 6023\n47547 71413\n36284 54450\n96314 100000\n77366 100000\n4013 6053\n84250 100000\n78193 100000\n42609 63999\n90498 100000\n41164 61799\n98173 100000\n19940 29920\n70912 100000\n28159 42275\n27596 41417\n44120 66260\n64351 96531\n69464 100000\n58010 87025\n76479 100000\n56461 84715\n12198 18266\n60024 90067\n10770 16120\n15624 23397\n26803 40215\n63233 94849\n13725 20538\n35853 53814\n36966 55471\n84249 100000\n77244 100000\n44162 66329\n18735 28118\n43339 65101\n30896 46394\n35978 53997\n66187 99292\n962 1442\n21176 31779\n3089 4645\n57459 86195\n33984 51036\n22632 33984\n73466 100000\n2391 3590\n59109 88699\n67063 100000\n3418 5149\n5914 8891\n8154 12229\n85180 100000\n55728 83606\n85033 100000\n15903 23808\n66648 99960\n45550 68390\n72970 100000\n69586 100000\n44284 66510\n10033 14998\n2782 4178\n36191 54311\n24193 36319\n75359 100000\n48177 72348\n22537 33845\n25311 37993\n55650 83494\n35181 52812\n94269 100000\n70319 100000\n92309 100000\n86173 100000\n96836 100000\n51376 77093\n45282 67988\n78470 100000\n45381 68136\n5161 7753\n24423 36664\n37593 56426\n86938 100000\n30071 45137\n35705 53590\n93858 100000\n28240 42400\n3715 5593\n91516 100000\n2710 4070\n512 771\n54921 82380\n37015 55549\n1795 2695\n46123 69248\n23723 35608\n93429 100000\n87723 100000\n62386 93594\n33305 49998\n38829 58273\n44547 66897\n7483 11243\n25011 37553\n16328 24449\n74770 100000\n19702 29566\n21744 32650\n69355 100000\n54162 81270\n50413 75660\n3523 5304\n42561 63928\n8218 12330\n85594 100000\n53513 80302\n56338 84524\n76512 100000\n69190 100000\n74168 100000\n3372 5075\n32520 48824\n18003 27008\n42619 64017\n90139 100000\n75794 100000\n11021 16500\n86038 100000\n88993 100000\n29727 44618\n56735 85122\n18559 27855\n95857 100000\n36114 54202\n48062 72183\n54942 82412\n62379 93584\n83340 100000\n29587 44412\n80592 100000\n3489 5253\n2620 3935\n63283 94922\n439 667\n40512 60796\n89025 100000\n29331 44033\n28474 42749\n41834 62828\n10024 14984\n35041 52606\n22014 33067\n39734 59640\n11906 17838\n86385 100000\n43559 65418\n49307 74035\n14935 22356\n30660 46041\n90272 100000\n32610 48957\n80941 100000\n45435 68219\n32595 48933\n1159 1726\n61988 92984\n43091 64731\n82912 100000\n52875 79353\n50603 75940\n77364 100000\n44288 66516\n19965 29957\n29446 44201\n4194 6315\n86427 100000\n5115 7684\n52604 78938\n5428 8162\n4657 7004\n80769 100000\n55399 83107\n35190 52828\n96251 100000\n85207 100000\n81537 100000\n49348 74091\n3456 5208\n37145 55735\n48192 72369\n26821 40243\n34126 51248\n88633 100000\n43273 65003\n37318 56003\n71258 100000\n86619 100000\n89641 100000\n20161 30247\n21185 31793\n94076 100000\n99058 100000\n69729 100000\n70481 100000\n52420 78660\n56796 85205\n32497 48793\n98783 100000\n14178 21227\n2275 3413\n84955 100000\n25298 37974\n97249 100000\n51665 77541\n23344 35047\n92154 100000\n49147 73812\n42909 64452\n75028 100000\n20056 30088\n49786 74741\n42593 63975\n80501 100000\n4662 7010\n60331 90516\n78019 100000\n66511 99762\n51094 76681\n79470 100000\n50161 75288\n18692 28051\n67606 100000\n95582 100000\n9899 14806\n65263 97892\n27261 40905\n2847 4272\n60154 90260\n35026 52586\n66623 99923\n30942 46460\n5873 8835\n37032 55575\n72479 100000\n68992 100000\n13563 20312\n7395 11108\n4524 6804\n4752 7147\n76019 100000\n53283 79945\n23631 35474\n70929 100000\n31772 47698\n76485 100000\n3539 5328\n34507 51804\n98144 100000\n21395 32111\n46735 70191\n17437 26157\n18391 27598\n57701 86558\n35048 52616\n39311 58998\n54073 81137\n20960 31456\n44506 66836\n97248 100000\n90109 100000\n79300 100000\n92738 100000\n61501 92264\n81889 100000\n77667 100000\n7376 11080\n96205 100000\n84567 100000\n40217 60351\n48688 73124\n29168 43795\n36172 54283\n82599 100000\n18070 27107\n64109 96164\n63527 95284\n10491 15688\n60868 91311\n60715 91085\n44011 66097\n6586 9890\n42668 64089\n24519 36818\n62856 94301\n90286 100000\n51351 77056\n49321 74057\n10270 15354\n96631 100000\n23499 35279\n62711 94085\n48117 72258\n57318 85983\n3712 5590\n67444 100000\n77642 100000\n61900 92853\n62637 93971\n87487 100000\n81173 100000\n57846 86783\n42453 63769\n89008 100000\n53848 80802\n51430 77177\n31631 47488\n98214 100000\n60081 90155\n40623 60969\n11374 17024\n36210 54338\n27988 42014\n58874 88361\n85120 100000\n54906 82356\n28866 43336\n2185 3275\n81001 100000\n33996 51057\n3419 5150\n77163 100000\n77704 100000\n29869 44833\n54548 81830\n75524 100000\n73844 100000\n853 1285\n82106 100000\n90579 100000\n59684 89563\n53871 80835\n1347 2002\n33828 50794\n39530 59329\n31552 47369\n68043 100000\n39259 58921\n32850 49317\n58525 87829\n84664 100000\n48224 72409\n65020 97528\n55618 83444\n49004 73595\n33597 50437\n37708 56593\n59398 89135\n97423 100000\n39650 59507\n95278 100000\n62613 93938\n81183 100000\n24202 36332\n62015 93027\n11435 17114\n45472 68277\n45933 68967\n98469 100000\n33349 50063\n46020 69096\n96995 100000\n17641 26464\n79106 100000\n77141 100000\n67909 100000\n98506 100000\n93667 100000\n37053 55606\n87899 100000\n77176 100000\n64984 97478\n10382 15521\n46724 70177\n92971 100000\n11655 17447\n84333 100000\n31921 47925\n63753 95621\n9386 14049\n11722 17552\n56602 84926\n38504 57778\n81967 100000\n7030 10558\n54640 81961\n194 298\n91995 100000\n76151 100000\n78013 100000\n5539 8335\n35821 53767\n53456 80209\n25985 38973\n53235 79875\n86498 100000\n85766 100000\n28905 43398\n53511 80299\n99715 100000\n22644 33999\n31478 47265\n39120 58713\n56698 85067\n2805 4214\n32496 48791\n94229 100000\n81392 100000\n39490 59271\n34748 52169\n85418 100000\n47426 71231\n54504 81768\n17130 25680\n53745 80651\n905 1364\n50082 75167\n56740 85130\n97940 100000\n64490 96749\n65315 97977\n75725 100000\n27969 41985\n99906 100000\n75398 100000\n7252 10891\n89956 100000\n58602 87949\n82138 100000\n32874 49354\n35384 53117\n14636 21907\n45556 68398\n46269 69477\n60814 91229\n65528 98294\n58777 88214\n50583 75911\n42564 63931\n20201 30311\n55914 83881\n69004 100000\n77711 100000\n27851 41804\n52661 79027\n51069 76642\n47007 70595\n26365 39559\n34390 51637\n63620 95425\n39656 59516\n21538 32324\n84138 100000\n71226 100000\n37024 55563\n27398 41112\n59440 89198\n24604 36947\n34166 51301\n56599 84920\n59515 89309\n78856 100000\n74585 100000\n71409 100000\n69767 100000\n16479 24676\n99684 100000\n33622 50473\n98643 100000\n81401 100000\n51654 77522\n18604 27922\n82571 100000\n18248 27381\n93025 100000\n75201 100000\n11159 16704\n5368 8066\n90269 100000\n6349 9535\n81521 100000\n82086 100000\n2647 3975\n92707 100000\n17650 26481\n39303 58986\n97207 100000\n48965 73535\n38914 58399\n59513 89306\n65995 99001\n92329 100000\n20213 30330\n14240 21320\n42758 64232\n40016 60057\n38154 57260\n3672 5528\n51989 78021\n56952 85444\n79039 100000\n40703 61097\n81997 100000\n68236 100000\n61411 92124\n46022 69099\n64498 96760\n74480 100000\n95218 100000\n200 306\n1712 2568\n39155 58767\n33462 50229\n93478 100000\n748 1125\n10992 16456\n69438 100000\n58031 87058\n44160 66325\n83196 100000\n56646 84994\n36366 54577\n6338 9522\n2963 4461\n34104 51223\n99482 100000\n43461 65275\n83481 100000\n31308 47003\n99525 100000\n19618 29445\n94830 100000\n57575 86372\n87714 100000\n56128 84206\n17704 26564\n23299 34978\n3410 5135\n51361 77072\n7010 10523\n23693 35561\n67803 100000\n14921 22333\n22617 33965\n30673 46061\n18648 27984\n44031 66124\n77591 100000\n55273 82917\n50406 75650\n32404 48652\n18914 28376\n98118 100000\n91293 100000\n99656 100000\n39314 59002\n45027 67619\n35512 53306\n5872 8833\n35474 53252\n34839 52309\n26614 39928\n71751 100000\n76061 100000\n25764 38650\n30759 46190\n9411 14092\n51238 76888\n3903 5880\n37862 56827\n46097 69211\n80623 100000\n33393 50129\n37332 56022\n81747 100000\n23994 36023\n58063 87111\n51128 76729\n15420 23093\n38312 57487\n24320 36504\n99488 100000\n44665 67065\n4627 6960\n5215 7834\n90276 100000\n92391 100000\n62920 94387\n5780 8690\n33220 49866\n1889 2832\n1747 2621\n17569 26350\n11642 17425\n2879 4326\n52271 78435\n2333 3502\n6549 9837\n69420 100000\n24973 37499\n44649 67043\n27102 40670\n70269 100000\n74726 100000\n9342 13986\n26797 40207\n55007 82508\n9498 14221\n40317 60503\n89172 100000\n37371 56083\n70499 100000\n29314 44006\n24875 37347\n67296 100000\n20300 30462\n52253 78409\n68140 100000\n91134 100000\n61139 91713\n50095 75186\n64101 96152\n24903 37392\n92225 100000\n80604 100000\n5100 7663\n94648 100000\n48949 73512\n69915 100000\n73875 100000\n49127 73779\n29360 44076\n56113 84184\n43751 65706\n54491 81750\n15837 23708\n64437 96667\n70836 100000\n14212 21280\n57136 85719\n77620 100000\n18101 27156\n91671 100000\n382 579\n53935 80935\n65019 97527\n37958 56973\n16325 24445\n65129 97691\n13368 20035\n38043 57094\n16628 24918\n58705 88109\n67254 100000\n34232 51397\n95224 100000\n16253 24335\n48347 72599\n97832 100000\n55443 83178\n48059 72179\n40164 60275\n1992 2984\n91566 100000\n28285 42470\n99802 100000\n18884 28329\n23556 35362\n22836 34283\n26272 39414\n11307 16926\n47176 70858\n72813 100000\n88300 100000\n69916 100000\n15949 23876\n26084 39124\n47028 70630\n88804 100000\n15984 23932\n81363 100000\n13176 19743\n92838 100000\n43010 64610\n9474 14184\n76633 100000\n91325 100000\n66208 99321\n25358 38055\n43465 65282\n48559 72927\n78048 100000\n4094 6171\n97109 100000\n91176 100000\n85568 100000\n69235 100000\n31509 47307\n5997 9010\n56860 85302\n13307 19940\n78579 100000\n18847 28282\n91561 100000\n35532 53337\n88565 100000\n44902 67424\n24172 36287\n84627 100000\n32724 49127\n43444 65253\n14029 21002\n68238 100000\n18364 27554\n98738 100000\n58006 87020\n17950 26936\n12471 18683\n98001 100000\n97608 100000\n52779 79213\n13746 20571\n43257 64979\n17736 26611\n63504 95252\n24171 36286\n19962 29953\n48615 73013\n33763 50692\n71605 100000\n7790 11698\n63443 95157\n37622 56469\n49805 74771\n9017 13495\n15557 23299\n97878 100000\n30065 45129\n23190 34819\n83216 100000\n50829 76285\n75905 100000\n22106 33206\n89524 100000\n28747 43154\n51284 76959\n16819 25205\n96951 100000\n50598 75933\n49752 74688\n60262 90415\n34292 51488\n60410 90640\n9340 13983\n14846 22221\n78687 100000\n86868 100000\n57420 86137\n45314 68035\n14347 21474\n84939 100000\n46182 69341\n15845 23722\n27880 41849\n21359 32054\n18096 27148\n61936 92906\n76601 100000\n30403 45646\n52280 78448\n13349 20003\n3891 5859\n89284 100000\n30919 46431\n3430 5168\n60471 90725\n90491 100000\n63177 94768\n98980 100000\n87557 100000\n49309 74038\n9989 14934\n97230 100000\n11844 17739\n80906 100000\n5378 8081\n12619 18907\n68578 100000\n36409 54639\n65830 98748\n12953 19410\n51902 77890\n59040 88599\n17942 26926\n55881 83830\n72805 100000\n41938 62979\n54242 81390\n46477 69807\n54023 81068\n60457 90707\n48735 73193\n96388 100000\n691 1045\n3279 4930\n7886 11840\n20018 30028\n3194 4806\n5453 8202\n69017 100000\n42836 64347\n4251 6395\n1540 2304\n30824 46283\n94279 100000\n38280 57442\n20318 30489\n46672 70103\n57674 86519\n45528 68363\n76427 100000\n57209 85827\n50889 76373\n58782 88220\n64311 96471\n73767 100000\n57551 86334\n45197 67863\n8953 13401\n23610 35443\n78016 100000\n4052 6110\n78965 100000\n2592 3888\n17507 26259\n21433 32169\n90002 100000\n76107 100000\n15172 22714\n61033 91551\n39124 58720\n37653 56511\n68751 100000\n43400 65188\n75001 100000\n9352 14002\n89381 100000\n92205 100000\n77081 100000\n94600 100000\n16995 25476\n11888 17809\n15180 22726\n32771 49202\n85051 100000\n47869 71892\n67261 100000\n41326 62049\n41945 62989\n20250 30385\n53452 80201\n27415 41134\n658 999\n38896 58372\n74510 100000\n91986 100000\n38595 57918\n36236 54376\n34810 52265\n37195 55815\n76507 100000\n5080 7634\n33845 50821\n81286 100000\n32678 49060\n93970 100000\n39667 59533\n61155 91736\n57937 86919\n21203 31818\n882 1327\n43643 65542\n40664 61032\n16225 24293\n25015 37560\n17300 25951\n97703 100000\n43665 65573\n71392 100000\n60841 91272\n76534 100000\n40908 61412\n53714 80600\n43664 65571\n76511 100000\n1442 2157\n5707 8586\n87786 100000\n75163 100000\n30101 45181\n17180 25766\n91016 100000\n69031 100000\n80193 100000\n73248 100000\n46703 70147\n56685 85049\n71680 100000\n74647 100000\n86024 100000\n35645 53506\n41514 62337\n49468 74273\n82615 100000\n23187 34815\n11269 16870\n24462 36728\n16475 24670\n46472 69799\n11334 16966\n44367 66633\n27285 40939\n86519 100000\n66494 99740\n14780 22123\n22780 34197\n87527 100000\n41695 62613\n96320 100000\n33439 50195\n78521 100000\n36026 54073\n1686 2527\n97529 100000\n20307 30474\n64335 96507\n65874 98819\n14868 22256\n4246 6387\n8755 13111\n50996 76534\n4124 6213\n28239 42398\n73333 100000\n25919 38870\n62175 93276\n54415 81636\n22240 33408\n30041 45092\n15883 23777\n5421 8149\n45760 68707\n69713 100000\n78842 100000\n6087 9146\n1976 2962\n17054 25563\n38890 58364\n85320 100000\n56530 84817\n45767 68716\n98155 100000\n16982 25457\n29334 44037\n37399 56125\n17168 25745\n40576 60896\n74910 100000\n4439 6681\n58575 87909\n78330 100000\n19634 29467\n35364 53089\n66764 100000\n22971 34488\n39519 59314\n62176 93277\n44443 66742\n22390 33617\n82294 100000\n9540 14280\n43852 65855\n6558 9848\n65983 98984\n70244 100000\n34973 52506\n55156 82748\n57394 86099\n66765 100000\n57221 85843\n23714 35595\n94959 100000\n97353 100000\n12043 18043\n95127 100000\n54353 81554\n53403 80128\n69330 100000\n61671 92511\n86134 100000\n20802 31217\n41513 62336\n53517 80309\n51595 77429\n38054 57108\n36106 54190\n17919 26892\n75452 100000\n32003 48049\n66747 100000\n31819 47770\n1661 2490\n88844 100000\n77249 100000\n76814 100000\n6999 10506\n29159 43780\n90502 100000\n38618 57950\n49727 74653\n26173 39263\n40575 60895\n79934 100000\n22806 34236\n27597 41418\n78357 100000\n99699 100000\n52095 78182\n79578 100000\n23639 35487\n94793 100000\n25853 38775\n95136 100000\n71529 100000\n93791 100000\n11173 16724\n14737 22060\n46157 69301\n73570 100000\n16281 24381\n38859 58317\n52113 78209\n56322 84500\n81081 100000\n60472 90727\n88994 100000\n89592 100000\n9653 14434\n3336 5018\n62762 94159\n79000 100000\n49171 73849\n60562 90861\n49072 73695\n33021 49572\n71995 100000\n62508 93778\n44639 67028\n26004 39003\n53562 80374\n69815 100000\n36289 54459\n32988 49524\n82336 100000\n25159 37770\n45090 67711\n62114 93178\n37358 56063\n47508 71353\n10229 15295\n98675 100000\n31899 47893\n69441 100000\n70430 100000\n61875 92818\n25849 38770\n82712 100000\n91186 100000\n4104 6187\n65238 97852\n99655 100000\n84180 100000\n29405 44139\n41546 62387\n70869 100000\n84706 100000\n89543 100000\n57416 86129\n14833 22205\n43613 65498\n48916 73462\n45567 68414\n23799 35722\n38030 57074\n76164 100000\n35445 53210\n37172 55780\n16718 25047\n53951 80957\n22855 34309\n26992 40496\n5984 8990\n73410 100000\n73735 100000\n63095 94648\n48248 72445\n22744 34146\n7115 10677\n2980 4484\n73968 100000\n18030 27048\n26003 39002\n59084 88661\n55966 83961\n68304 100000\n23404 35131\n99497 100000\n41610 62487\n71169 100000\n17230 25839\n29953 44957\n97222 100000\n1414 2112\n57601 86411\n81717 100000\n53412 80142\n34712 52116\n47224 70926\n18815 28233\n47121 70773\n39917 59914\n86325 100000\n69026 100000\n78227 100000\n37160 55758\n58870 88356\n99130 100000\n45825 68800\n58231 87380\n40605 60941\n50027 75086\n63678 95509\n3036 4563\n5980 8984\n82546 100000\n20876 31329\n75222 100000\n53755 80664\n75002 100000\n59053 88616\n21818 32767\n98812 100000\n9204 13780\n38860 58318\n74393 100000\n83666 100000\n59174 88793\n63906 95851\n82577 100000\n68864 100000\n67890 100000\n54619 81932\n83072 100000\n60608 90932\n90988 100000\n39326 59023\n68059 100000\n29497 44276\n35735 53632\n32441 48709\n39939 59945\n58727 88145\n95553 100000\n31898 47891\n6734 10111\n61309 91969\n86606 100000\n83878 100000\n67689 100000\n10877 16283\n10631 15903\n12849 19252\n13697 20500\n55571 83375\n39771 59692\n67997 100000\n85409 100000\n18328 27497\n92788 100000\n65124 97685\n90906 100000\n32833 49293\n71917 100000\n74229 100000\n45360 68107\n73063 100000\n80944 100000\n34667 52047\n58795 88239\n8146 12216\n68943 100000\n41028 61589\n83883 100000\n76850 100000\n65578 98368\n25831 38745\n49336 74076\n45986 69045\n6451 9688\n74102 100000\n42223 63407\n40884 61376\n82737 100000\n94903 100000\n71872 100000\n9161 13714\n61447 92177\n60155 90262\n91924 100000\n23477 35246\n46195 69361\n64904 97354\n83704 100000\n7329 11009\n30826 46286\n98971 100000\n38877 58344\n64955 97436\n99467 100000\n26517 39784\n55152 82740\n47512 71359\n24647 37011\n3999 6030\n35397 53133\n44479 66792\n83605 100000\n4306 6480\n59470 89242\n35219 52873\n91755 100000\n28212 42358\n8035 12054\n24092 36171\n92963 100000\n26772 40168\n27212 40835\n56843 85277\n33774 50708\n15829 23696\n95468 100000\n21383 32091\n65612 98420\n29718 44603\n3127 4701\n49744 74677\n66599 99893\n8873 13282\n83706 100000\n24627 36977\n55542 83331\n2880 4327\n83860 100000\n35983 54005\n31098 46701\n9373 14031\n20302 30466\n12428 18620\n36588 54908\n83691 100000\n20047 30073\n88003 100000\n48364 72627\n6014 9032\n70648 100000\n93036 100000\n885 1332\n97889 100000\n57156 85748\n69368 100000\n43591 65469\n5043 7577\n21299 31965\n1129 1681\n98485 100000\n92000 100000\n5726 8613\n8248 12372\n80505 100000\n82844 100000\n93564 100000\n96168 100000\n88224 100000\n77017 100000\n26115 39166\n76874 100000\n98869 100000\n79363 100000\n87864 100000\n20545 30843\n50314 75518\n58961 88482\n74289 100000\n29690 44563\n44235 66435\n86359 100000\n45210 67883\n8015 12023\n32705 49097\n3100 4661\n12442 18640\n94550 100000\n94980 100000\n46998 70579\n37043 55590\n80835 100000\n93580 100000\n33208 49849\n37737 56635\n19274 28915\n37777 56696\n73827 100000\n92336 100000\n84115 100000\n34031 51111\n18904 28358\n10807 16174\n95828 100000\n14228 21305\n3746 5636\n177 271\n78869 100000\n38359 57555\n12294 18406\n92583 100000\n13166 19727\n82988 100000\n14542 21766\n5078 7632\n98273 100000\n35209 52859\n40566 60881\n34310 51517\n71014 100000\n55537 83323\n63846 95759\n16108 24123\n18893 28343\n47250 70969\n29272 43946\n39792 59721\n56038 84072\n62330 93507\n37064 55620\n2965 4463\n40283 60452\n98960 100000\n92546 100000\n86461 100000\n86534 100000\n71623 100000\n67721 100000\n97438 100000\n67269 100000\n14724 22037\n37765 56679\n22511 33805\n73115 100000\n15659 23451\n95992 100000\n67547 100000\n81721 100000\n40450 60704\n75569 100000\n7200 10813\n28985 43520\n2921 4394\n65086 97625\n59754 89670\n56502 84776\n8320 12477\n383 581\n2312 3470\n45861 68857\n35315 53016\n5106 7671\n97351 100000\n3460 5215\n12694 19019\n67641 100000\n48819 73314\n22116 33223\n45370 68120\n90827 100000\n38330 57516\n2175 3260\n6954 10441\n39437 59190\n89782 100000\n69917 100000\n73283 100000\n49750 74686\n71459 100000\n79979 100000\n19042 28566\n43342 65105\n35367 53093\n38417 57645\n33680 50560\n88639 100000\n51112 76706\n16047 24030\n17767 26663\n77657 100000\n79821 100000\n62665 94014\n39511 59301\n62240 93371\n81674 100000\n73612 100000\n36987 55507\n15486 23200\n81773 100000\n50284 75471\n47147 70811\n55555 83351\n89364 100000\n61098 91652\n83710 100000\n36038 54091\n61449 92180\n12104 18129\n41267 61958\n76054 100000\n59230 88880\n487 735\n1210 1799\n7582 11385\n79110 100000\n1806 2710\n66728 100000\n46387 69668\n49433 74220\n82660 100000\n81226 100000\n54326 81519\n33294 49982\n75121 100000\n26031 39046\n18380 27580\n98886 100000\n51272 76943\n26919 40387\n39775 59699\n1833 2754\n94834 100000\n80335 100000\n66103 99159\n55874 83820\n93809 100000\n21470 32223\n23525 35320\n39786 59714\n82488 100000\n15906 23812\n46185 69347\n74286 100000\n59745 89655\n21052 31594\n25452 38191\n93271 100000\n92162 100000\n92548 100000\n24036 36087\n59651 89510\n86050 100000\n96233 100000\n66477 99720\n80338 100000\n96393 100000\n31236 46898\n80314 100000\n63377 95063\n59625 89469\n25797 38696\n65058 97586\n56079 84132\n2801 4209\n28549 42863\n31539 47349\n36740 55123\n27292 40951\n80234 100000\n88239 100000\n79616 100000\n82899 100000\n41626 62510\n95230 100000\n42052 63149\n14708 22014\n89562 100000\n43954 66009\n5682 8550\n87100 100000\n79514 100000\n6194 9307\n13776 20614\n42697 64136\n34467 51746\n73374 100000\n97356 100000\n85105 100000\n60736 91118\n87110 100000\n42551 63913\n41522 62350\n61911 92870\n10514 15722\n3868 5825\n66656 99970\n15093 22596\n34410 51663\n50557 75873\n44005 66090\n7102 10661\n85563 100000\n47026 70627\n41096 61693\n57428 86148\n8376 12554\n3726 5608\n62795 94205\n7458 11207\n78251 100000\n51622 77469\n81350 100000\n40675 61051\n68958 100000\n28511 42806\n35619 53472\n37555 56365\n31506 47302\n10017 14975\n86858 100000\n40051 60109\n83382 100000\n59236 88889\n68965 100000\n44349 66608\n31248 46916\n91866 100000\n5942 8929\n20640 30983\n47302 71047\n20141 30217\n70811 100000\n94281 100000\n12246 18334\n98493 100000\n70572 100000\n41154 61786\n60433 90673\n38468 57720\n50534 75834\n59269 88940\n42702 64141\n54587 81886\n31413 47167\n67292 100000\n64746 97118\n53916 80906\n44238 66440\n70750 100000\n25624 38441\n52997 79529\n96228 100000\n16438 24615\n83825 100000\n3099 4659\n83172 100000\n72034 100000\n69570 100000\n21261 31904\n24613 36959\n15925 23838\n45428 68209\n79726 100000\n50920 76418\n96341 100000\n56148 84240\n45846 68834\n63910 95857\n55931 83907\n23179 34803\n60302 90473\n36687 55048\n70598 100000\n96218 100000\n96675 100000\n41999 63069\n99691 100000\n30045 45098\n47252 70973\n781 1173\n28294 42483\n31563 47385\n99269 100000\n22637 33990\n58415 87661\n45599 68464\n36154 54259\n94964 100000\n11298 16912\n27397 41110\n93432 100000\n50773 76201\n49226 73924\n36305 54483\n99165 100000\n13849 20724\n25875 38808\n50251 75424\n86829 100000\n48548 72907\n89331 100000\n215 326\n82967 100000\n28857 43325\n9913 14825\n99624 100000\n70068 100000\n86917 100000\n30083 45152\n78209 100000\n43161 64839\n40411 60645\n23128 34725\n47295 71035\n8868 13276\n45815 68786\n97341 100000\n17932 26914\n85632 100000\n94506 100000\n69217 100000\n28018 42059\n99513 100000\n3493 5260\n41163 61798\n26994 40498\n45289 67997\n76618 100000\n27037 40562\n97934 100000\n9129 13663\n83124 100000\n71896 100000\n65106 97657\n19333 29004\n72547 100000\n98402 100000\n5796 8713\n88202 100000\n1774 2663\n13557 20305\n57484 86234\n52637 78989\n46286 69504\n40004 60034\n16348 24478\n1318 1956\n58312 87508\n40521 60810\n26754 40140\n39761 59679\n44100 66231\n96875 100000\n36841 55276\n66326 99490\n35368 53095\n20186 30286\n95513 100000\n24739 37143\n26039 39059\n91719 100000\n51353 77058\n71675 100000\n27257 40899\n3802 5723\n30317 45513\n9775 14621\n64509 96773\n13637 20413\n60913 91378\n69269 100000\n98652 100000\n53820 80759\n77615 100000\n12201 18270\n62731 94111\n66602 99897\n71039 100000\n11320 16946\n40479 60747\n57951 86940\n29308 43996\n53 79\n34737 52151\n69037 100000\n78090 100000\n72105 100000\n6670 10015\n29432 44181\n84806 100000\n57076 85637\n61538 92318\n80536 100000\n61159 91742\n86638 100000\n37741 56641\n65653 98480\n22930 34426\n70519 100000\n49787 74743\n4991 7502\n34086 51195\n11205 16776\n52812 79260\n77388 100000\n67604 100000\n85360 100000\n18661 28004\n50863 76336\n63711 95564\n87147 100000\n74431 100000\n50609 75949\n32722 49124\n51147 76756\n42273 63482\n37676 56545\n63045 94570\n11635 17415\n1598 2393\n57470 86211\n52592 78917\n31965 47991\n51728 77630\n83767 100000\n64597 96900\n38644 57986\n46776 70255\n93148 100000\n33760 50688\n11427 17099\n28745 43150\n39565 59382\n87628 100000\n42183 63344\n79954 100000\n86731 100000\n25628 38447\n23505 35289\n37055 55608\n56585 84898\n38196 57319\n92111 100000\n31365 47092\n54473 81725\n56332 84516\n36870 55320\n58386 87619\n75801 100000\n47238 70949\n17567 26347\n99774 100000\n85650 100000\n62471 93723\n10776 16132\n2097 3141\n78336 100000\n41781 62749\n18147 27225\n75334 100000\n56144 84232\n46008 69078\n77408 100000\n33234 49888\n99636 100000\n62888 94343\n75622 100000\n21244 31878\n98497 100000\n98461 100000\n92761 100000\n1074 1604\n97546 100000\n92204 100000\n78852 100000\n35760 53672\n24344 36543\n13869 20754\n69748 100000\n11541 17274\n15719 23535\n25781 38672\n35720 53611\n96741 100000\n98480 100000\n73255 100000\n67060 100000\n85326 100000\n42870 64396\n69693 100000\n42184 63345\n34259 51436\n38531 57820\n71469 100000\n45150 67798\n11332 16962\n36514 54799\n99106 100000\n13017 19508\n44091 66215\n37770 56686\n79559 100000\n44152 66310\n89531 100000\n29222 43876\n94282 100000\n9536 14276\n70504 100000\n3982 6004\n92222 100000\n53574 80392\n17262 25893\n55082 82626\n1194 1778\n86738 100000\n43231 64942\n20599 30927\n65658 98489\n80478 100000\n81326 100000\n94750 100000\n62098 93155\n78172 100000\n76072 100000\n78402 100000\n20665 31016\n27646 41489\n17961 26949\n45549 68389\n49148 73813\n22085 33172\n26762 40153\n1596 2389\n54265 81424\n65842 98768\n19853 29790\n96216 100000\n20399 30614\n72218 100000\n11545 17278\n18040 27064\n50157 75282\n3164 4756\n36763 55158\n71681 100000\n63588 95380\n47728 71683\n90040 100000\n89402 100000\n78843 100000\n85856 100000\n55480 83234\n48295 72521\n1490 2233\n57682 86531\n12438 18635\n3862 5816\n64830 97243\n5409 8131\n34894 52390\n34957 52484\n92603 100000\n68702 100000\n51689 77574\n63159 94746\n12912 19350\n85975 100000\n10486 15680\n37948 56958\n34312 51520\n44148 66304\n41638 62529\n48628 73034\n4789 7197\n43238 64953\n81998 100000\n88455 100000\n13919 20831\n20827 31253\n10207 15260\n84547 100000\n95202 100000\n43096 64739\n79672 100000\n23528 35326\n20888 31349\n11706 17528\n42443 63755\n19650 29490\n41723 62659\n45257 67955\n24181 36302\n88171 100000\n64488 96747\n8769 13132\n52348 78550\n35882 53858\n72923 100000\n61258 91895\n50680 76051\n14764 22100\n70165 100000\n73999 100000\n32765 49192\n37028 55568\n78213 100000\n83886 100000\n48312 72546\n13556 20303\n16009 23970\n43835 65829\n87965 100000\n21515 32289\n1240 1843\n62686 94047\n75089 100000\n13208 19790\n53506 80290\n97008 100000\n32748 49166\n68710 100000\n66049 99077\n57319 85985\n13423 20111\n40009 60043\n76037 100000\n2516 3775\n6782 10185\n50318 75523\n90475 100000\n53384 80094\n49119 73768\n35986 54010\n31822 47774\n86346 100000\n1070 1598\n20452 30700\n59214 88855\n21410 32135\n93666 100000\n12838 19236\n3038 4565\n35435 53194\n43365 65139\n52407 78640\n88635 100000\n84603 100000\n12136 18178\n87791 100000\n30936 46453\n73178 100000\n17405 26107\n57896 86858\n56052 84094\n70072 100000\n76935 100000\n90230 100000\n16843 25241\n97216 100000\n41646 62541\n66033 99053\n23394 35118\n80127 100000\n45636 68519\n85228 100000\n15449 23142\n52364 78574\n47618 71519\n49571 74429\n80005 100000\n21526 32307\n24410 36645\n46275 69487\n14096 21100\n92481 100000\n81171 100000\n88471 100000\n61614 92429\n78674 100000\n56132 84213\n95529 100000\n74688 100000\n27229 40860\n9965 14901\n99149 100000\n4912 7382\n72842 100000\n30555 45880\n67262 100000\n12775 19141\n49409 74183\n69833 100000\n6901 10363\n24819 37265\n73000 100000\n78042 100000\n29942 44940\n25579 38376\n73338 100000\n78704 100000\n96432 100000\n76059 100000\n41358 62099\n77337 100000\n14476 21666\n93441 100000\n23832 35771\n8451 12665\n36403 54630\n67681 100000\n80362 100000\n29136 43744\n29829 44767\n97330 100000\n95425 100000\n52248 78403\n41460 62256\n72190 100000\n53835 80785\n54164 81273\n49087 73716\n69311 100000\n90111 100000\n85397 100000\n20086 30133\n91062 100000\n41434 62216\n47577 71456\n11190 16752\n65840 98764\n53300 79969\n15877 23770\n94151 100000\n32577 48906\n22400 33633\n39933 59936\n28773 43193\n71401 100000\n57005 85529\n7167 10758\n64446 96681\n52411 78645\n20405 30624\n35728 53621\n67769 100000\n41962 63016\n98887 100000\n94685 100000\n49065 73684\n30216 45365\n88408 100000\n4448 6691\n19200 28806\n64889 97331\n5482 8249\n26359 39550\n92630 100000\n13065 19580\n29084 43665\n99917 100000\n82929 100000\n87827 100000\n18337 27512\n9697 14502\n90525 100000\n50641 75996\n42753 64225\n27766 41676\n36923 55406\n39753 59667\n83708 100000\n17886 26838\n4625 6956\n57501 86263\n75284 100000\n18733 28115\n96384 100000\n12519 18760\n29240 43903\n52811 79259\n54419 81642\n7626 11456\n19299 28953\n84390 100000\n80420 100000\n63305 94955\n71742 100000\n87738 100000\n91751 100000\n41181 61827\n66947 100000\n78329 100000\n76766 100000\n47737 71697\n93847 100000\n77460 100000\n59621 89463\n19363 29051\n13680 20473\n92265 100000\n30922 46434\n95511 100000\n25633 38454\n85191 100000\n41032 61595\n90778 100000\n17647 26475\n87178 100000\n7447 11191\n2078 3113\n71887 100000\n39053 58607\n5893 8861\n38754 58162\n31119 46733\n11912 17848\n52643 78999\n8167 12249\n77430 100000\n36997 55523\n51968 77991\n61324 91993\n42785 64273\n60975 91467\n11229 16808\n25239 37893\n99444 100000\n23227 34872\n49422 74204\n8917 13350\n54064 81124\n76824 100000\n74867 100000\n91415 100000\n73820 100000\n91077 100000\n85598 100000\n1782 2675\n41874 62887\n67099 100000\n24307 36483\n78401 100000\n19040 28562\n37540 56337\n97649 100000\n18555 27848\n32851 49318\n29506 44288\n71092 100000\n17217 25822\n41051 61622\n76308 100000\n40039 60091\n59331 89033\n45486 68299\n93125 100000\n59587 89414\n48962 73532\n19350 29030\n86336 100000\n53469 80231\n39849 59809\n64854 97279\n2627 3948\n2676 4016\n10110 15118\n23657 35510\n77441 100000\n78182 100000\n85202 100000\n83894 100000\n13720 20532\n37479 56246\n68022 100000\n20329 30506\n67642 100000\n94802 100000\n25812 38717\n63741 95605\n8766 13128\n88190 100000\n36241 54384\n37113 55689\n58017 87036\n3196 4809\n41437 62221\n90712 100000\n71100 100000\n95583 100000\n94687 100000\n73507 100000\n44716 67135\n9812 14677\n70525 100000\n98063 100000\n72081 100000\n52003 78043\n1770 2656\n71832 100000\n1945 2914\n71423 100000\n89788 100000\n51559 77370\n40944 61462\n93691 100000\n76806 100000\n30594 45940\n63485 95222\n21416 32144\n6257 9396\n64587 96884\n95378 100000\n61651 92483\n83683 100000\n64393 96590\n41697 62616\n50878 76356\n26556 39844\n35607 53455\n25332 38021\n40670 61042\n89448 100000\n54471 81721\n55798 83709\n43013 64616\n31355 47079\n79540 100000\n91037 100000\n77674 100000\n23377 35094\n46309 69538\n68963 100000\n16419 24584\n53153 79762\n35381 53113\n75200 100000\n3374 5078\n26964 40457\n73637 100000\n59467 89237\n84481 100000\n46942 70496\n13818 20677\n83930 100000\n46169 69322\n48284 72504\n95299 100000\n91745 100000\n92515 100000\n74657 100000\n74250 100000\n1458 2181\n74015 100000\n66105 99163\n47343 71104\n40460 60717\n28425 42678\n74312 100000\n43331 65091\n63728 95585\n16733 25068\n78675 100000\n29902 44881\n37005 55535\n81085 100000\n25574 38368\n47411 71209\n61631 92454\n60918 91385\n98165 100000\n85718 100000\n37937 56940\n13666 20453\n31684 47558\n39558 59371\n27233 40867\n82081 100000\n63157 94744\n8368 12542\n46315 69547\n68853 100000\n78292 100000\n97565 100000\n71294 100000\n32877 49358\n58586 87923\n55295 82952\n11004 16474\n83954 100000\n92938 100000\n6790 10196\n17713 26578\n25278 37949\n63823 95726\n66221 99341\n44820 67297\n9486 14202\n96884 100000\n40828 61284\n49962 74990\n2293 3441\n15167 22704\n52671 79043\n6574 9873\n57149 85737\n78411 100000\n67411 100000\n66633 99938\n34123 51245\n30344 45554\n60320 90501\n99455 100000\n84685 100000\n95324 100000\n39031 58580\n76257 100000\n69649 100000\n45087 67707\n71331 100000\n34262 51442\n81826 100000\n38535 57827\n89620 100000\n92483 100000\n64323 96489\n31599 47443\n42449 63765\n34920 52429\n91422 100000\n64789 97182\n11914 17850\n98956 100000\n16104 24116\n55826 83750\n97143 100000\n9563 14308\n87447 100000\n63652 95474\n22873 34335\n70985 100000\n98139 100000\n34634 51994\n20351 30538\n97667 100000\n84058 100000\n6299 9465\n18718 28093\n63003 94510\n46205 69378\n31915 47917\n41882 62896\n54515 81782\n21657 32518\n88597 100000\n30336 45542\n75661 100000\n64981 97473\n36275 54438\n59818 89763\n41561 62411\n27971 41988\n55743 83629\n82082 100000\n81908 100000\n18201 27308\n83862 100000\n5170 7765\n49696 74609\n17000 25484\n13350 20004\n55059 82588\n21011 31529\n45426 68205\n2546 3821\n19255 28887\n70765 100000\n79302 100000\n37063 55619\n99300 100000\n63851 95766\n63384 95073\n3681 5540\n35378 53109\n52888 79374\n68109 100000\n84894 100000\n88544 100000\n79662 100000\n68284 100000\n95139 100000\n54423 81648\n24447 36702\n81876 100000\n24003 36036\n75307 100000\n8912 13344\n71728 100000\n11559 17300\n31787 47722\n90951 100000\n62733 94113\n21681 32552\n40323 60513\n6406 9622\n38588 57905\n7175 10772\n65765 98651\n22909 34396\n45223 67904\n72838 100000\n76718 100000\n21612 32443\n38510 57788\n73047 100000\n98314 100000\n52143 78254\n29885 44855\n96331 100000\n20029 30046\n17079 25603\n38853 58309\n97639 100000\n17451 26180\n84391 100000\n31968 47995\n52311 78493\n71772 100000\n90101 100000\n83218 100000\n66662 99981\n60996 91498\n34028 51105\n28587 42919\n69907 100000\n81205 100000\n5892 8859\n25964 38939\n25599 38403\n31367 47095\n68747 100000\n16681 24996\n96566 100000\n75239 100000\n24126 36224\n55046 82566\n3432 5171\n3902 5878\n45318 68041\n28344 42553\n42626 64026\n46361 69621\n2586 3879\n27801 41729\n22005 33053\n49671 74573\n68392 100000\n41971 63028\n22286 33477\n92026 100000\n48154 72312\n55888 83842\n11885 17804\n5221 7842\n47758 71724\n92549 100000\n20938 31423\n25008 37549\n70840 100000\n22198 33345\n21786 32717\n60206 90339\n99346 100000\n92536 100000\n82485 100000\n13696 20498\n83681 100000\n8268 12400\n51090 76673\n98365 100000\n20011 30017\n14458 21642\n20716 31088\n64844 97264\n94573 100000\n86272 100000\n28363 42585\n52802 79246\n82529 100000\n44522 66859\n77622 100000\n90421 100000\n89114 100000\n65365 98051\n6645 9979\n8885 13302\n63632 95443\n55511 83281\n14839 22212\n54495 81756\n49043 73650\n46396 69682\n86065 100000\n14544 21769\n95431 100000\n82679 100000\n9442 14137\n37675 56543\n43035 64647\n25899 38840\n59652 89511\n25837 38754\n53172 79786\n40091 60165\n1590 2381\n43696 65623\n63899 95841\n72050 100000\n37926 56922\n11715 17543\n27217 40843\n68767 100000\n45792 68751\n37157 55752\n32429 48691\n96352 100000\n51827 77781\n79195 100000\n70652 100000\n95470 100000\n25182 37804\n99121 100000\n64719 97081\n53860 80819\n89873 100000\n33152 49766\n20194 30299\n89805 100000\n51265 76931\n78577 100000\n58594 87938\n25623 38440\n43141 64808\n1501 2248\n90160 100000\n98270 100000\n82121 100000\n24707 37099\n81595 100000\n67743 100000\n56797 85207\n21813 32759\n51912 77903\n70399 100000\n63887 95821\n28405 42646\n84178 100000\n75275 100000\n92524 100000\n26442 39674\n68964 100000\n49261 73976\n19355 29038\n49346 74089\n2522 3785\n42848 64366\n35018 52574\n83381 100000\n15287 22886\n36873 55324\n98399 100000\n40797 61240\n27783 41703\n78233 100000\n35024 52584\n46154 69297\n34865 52347\n99364 100000\n50753 76169\n63943 95910\n38670 58029\n63208 94814\n571 861\n24965 37486\n60829 91254\n5012 7534\n89683 100000\n84800 100000\n78375 100000\n53984 81007\n44802 67266\n25581 38379\n86949 100000\n74399 100000\n39316 59005\n18607 27927\n43569 65434\n94894 100000\n30331 45536\n90458 100000\n72786 100000\n94865 100000\n34190 51337\n57332 86004\n86922 100000\n79123 100000\n32751 49169\n70988 100000\n34418 51677\n9509 14235\n47575 71453\n93937 100000\n29445 44199\n83593 100000\n23301 34980\n99278 100000\n98187 100000\n60890 91347\n84487 100000\n41491 62304\n68242 100000\n41831 62823\n13359 20021\n44791 67249\n38709 58093\n59321 89016\n43791 65763\n14108 21118\n35650 53514\n56335 84520\n68699 100000\n56967 85466\n77869 100000\n15118 22631\n64022 96033\n38906 58387\n5265 7913\n96968 100000\n13332 19978\n60345 90537\n56292 84450\n72667 100000\n13523 20255\n8964 13417\n92454 100000\n68249 100000\n14099 21105\n73097 100000\n12698 19024\n91598 100000\n45195 67860\n36893 55357\n64567 96853\n78368 100000\n17463 26198\n5926 8907\n96737 100000\n73899 100000\n70762 100000\n92135 100000\n74600 100000\n77281 100000\n74902 100000\n15130 22645\n88832 100000\n60687 91045\n13118 19654\n3529 5313\n9462 14165\n59393 89127\n49144 73806\n97723 100000\n2417 3628\n65554 98331\n28400 42639\n57920 86893\n38387 57596\n66949 100000\n57724 86593\n9966 14902\n2483 3724\n92859 100000\n41390 62151\n98792 100000\n45068 67681\n12325 18458\n50979 76507\n99003 100000\n24774 37197\n1933 2898\n98039 100000\n19871 29817\n71122 100000\n8332 12493\n61035 91554\n11038 16523\n9044 13536\n13092 19617\n21561 32357\n49297 74022\n74346 100000\n27803 41733\n51779 77707\n56733 85119\n39835 59786\n27311 40979\n43549 65401\n48752 73217\n17213 25817\n26725 40095\n74135 100000\n45858 68854\n9764 14604\n28882 43362\n89681 100000\n64029 96044\n37706 56591\n46544 69911\n47479 71312\n85956 100000\n44948 67496\n42596 63979\n64086 96131\n11203 16773\n47478 71310\n60048 90106\n58965 88488\n47768 71739\n73106 100000\n40727 61131\n61877 92820\n31922 47926\n47200 70893\n5698 8573\n61803 92706\n4304 6478\n49918 74933\n2274 3411\n43652 65558\n2163 3243\n39024 58571\n28984 43518\n54444 81680\n59929 89927\n71606 100000\n75158 100000\n13909 20815\n99984 100000\n3962 5971\n33496 50283\n78636 100000\n15119 22632\n90112 100000\n5815 8744\n5134 7713\n75748 100000\n94477 100000\n78041 100000\n41869 62881\n95101 100000\n66264 99402\n35231 52890\n25142 37745\n62969 94460\n47941 72000\n80379 100000\n83511 100000\n43818 65801\n30718 46128\n97363 100000\n20532 30824\n87907 100000\n75544 100000\n39426 59172\n6483 9736\n36693 55056\n26558 39846\n42755 64227\n1720 2581\n51061 76630\n45477 68285\n96778 100000\n9566 14313\n58900 88403\n76099 100000\n51598 77433\n48821 73318\n33950 50983\n28207 42351\n1969 2953\n47158 70831\n86421 100000\n54662 81991\n72145 100000\n7552 11345\n20950 31441\n17478 26216\n22792 34215\n17555 26330\n77122 100000\n24595 36931\n73042 100000\n73456 100000\n893 1342\n39871 59844\n66394 99596\n41808 62787\n2327 3494\n30782 46220\n59798 89736\n34541 51855\n63298 94943\n76147 100000\n78316 100000\n9698 14504\n62716 94090\n94245 100000\n87893 100000\n45648 68536\n41330 62056\n12996 19473\n61464 92204\n86 134\n48686 73121\n32063 48142\n30745 46166\n9325 13961\n51698 77588\n28751 43160\n55380 83076\n46919 70464\n10064 15047\n96028 100000\n94280 100000\n99466 100000\n8866 13273\n36351 54552\n42546 63904\n6671 10017\n79773 100000\n25508 38272\n84177 100000\n15559 23302\n62953 94435\n15936 23855\n999 1496\n56402 84621\n44515 66849\n46637 70050\n97816 100000\n39689 59567\n80847 100000\n65954 98940\n4741 7128\n16248 24327\n34431 51694\n85928 100000\n32285 48475\n39176 58796\n99771 100000\n40041 60093\n55353 83036\n85578 100000\n38112 57199\n6634 9959\n70495 100000\n22450 33709\n99128 100000\n37234 55877\n65049 97571\n39557 59370\n19806 29723\n55730 83608\n71567 100000\n90536 100000\n97079 100000\n69015 100000\n87616 100000\n90741 100000\n59474 89248\n94028 100000\n8715 13054\n45681 68585\n94035 100000\n95530 100000\n81752 100000\n24788 37218\n29905 44885\n11234 16815\n58739 88159\n11221 16796\n89346 100000\n50147 75267\n19827 29755\n80530 100000\n16653 24953\n88786 100000\n19206 28816\n68125 100000\n39640 59492\n57624 86447\n23087 34663\n26550 39835\n54510 81776\n16668 24977\n70723 100000\n17993 26994\n39654 59513\n89281 100000\n45668 68565\n79451 100000\n6216 9336\n32888 49376\n28269 42446\n35206 52854\n14558 21792\n40996 61538\n34870 52356\n20725 31101\n9727 14546\n75687 100000\n10244 15315\n55675 83526\n14715 22025\n56125 84202\n77893 100000\n17135 25689\n23852 35799\n4432 6670\n83486 100000\n30607 45958\n67065 100000\n21321 31999\n6702 10061\n54288 81460\n79421 100000\n48200 72379\n71383 100000\n43831 65825\n33029 49587\n39152 58761\n96034 100000\n50600 75936\n8097 12144\n37367 56076\n74573 100000\n53966 80978\n3659 5509\n11959 17922\n88885 100000\n44587 66951\n39762 59680\n1219 1813\n97427 100000\n50496 75783\n15999 23955\n24870 37340\n6703 10063\n84233 100000\n52651 79012\n45208 67879\n45894 68908\n26254 39386\n52356 78561\n48286 72506\n43524 65366\n70529 100000\n37105 55678\n1052 1572\n33777 50712\n80073 100000\n89027 100000\n77029 100000\n6752 10138\n51123 76723\n41645 62539\n64943 97418\n46400 69689\n68776 100000\n60136 90234\n59548 89356\n4632 6966\n85746 100000\n23826 35764\n29189 43826\n59244 88902\n38708 58092\n39427 59173\n83317 100000\n30362 45582\n64447 96683\n18136 27207\n35311 53009\n30089 45162\n81190 100000\n32580 48911\n86059 100000\n23573 35387\n55260 82899\n36580 54895\n25609 38420\n67252 100000\n55601 83418\n76009 100000\n17818 26735\n614 927\n90324 100000\n1181 1759\n13540 20281\n66150 99231\n25684 38527\n40191 60314\n8472 12698\n5238 7868\n33744 50665\n93982 100000\n64491 96751\n36396 54620\n52791 79230\n42371 63640\n77916 100000\n44179 66354\n73214 100000\n89646 100000\n29626 44468\n71283 100000\n1098 1636\n85683 100000\n35888 53867\n6064 9112\n37211 55840\n10338 15456\n10900 16319\n70658 100000\n2654 3985\n40671 61044\n77837 100000\n32729 49135\n61172 91765\n28604 42947\n3009 4526\n71714 100000\n60117 90209\n26321 39492\n99048 100000\n46130 69258\n14360 21495\n84263 100000\n34916 52424\n30235 45392\n45774 68727\n73692 100000\n73671 100000\n74365 100000\n72753 100000\n9113 13641\n196 301\n29426 44171\n23635 35480\n17098 25630\n87574 100000\n53611 80449\n44824 67304\n84304 100000\n65246 97865\n51585 77412\n59854 89812\n88281 100000\n75854 100000\n81867 100000\n54688 82028\n87707 100000\n12316 18443\n98375 100000\n17649 26479\n69370 100000\n39523 59320\n63861 95782\n88658 100000\n24427 36670\n91335 100000\n29501 44282\n81524 100000\n8040 12061\n30836 46301\n46758 70226\n63431 95140\n64485 96744\n79137 100000\n88356 100000\n37441 56189\n47752 71716\n64527 96797\n81103 100000\n86248 100000\n33242 49901\n43221 64926\n79008 100000\n79497 100000\n49705 74621\n77327 100000\n9507 14233\n86415 100000\n56531 84819\n82199 100000\n79202 100000\n73792 100000\n17497 26245\n73704 100000\n26363 39556\n91443 100000\n62561 93863\n69993 100000\n53225 79860\n48002 72091\n95771 100000\n96908 100000\n16531 24766\n78312 100000\n75358 100000\n92825 100000\n87881 100000\n64430 96654\n41724 62660\n55954 83941\n98622 100000\n20760 31152\n19977 29972\n86780 100000\n40034 60084\n17586 26376\n76442 100000\n1674 2508\n24750 37163\n64670 97007\n51917 77911\n71705 100000\n8978 13437\n92017 100000\n32529 48835\n32726 49130\n59933 89934\n14885 22281\n14153 21189\n26538 39816\n88648 100000\n48147 72304\n38493 57761\n64754 97131\n80990 100000\n3522 5302\n2111 3160\n55559 83357\n45737 68672\n78531 100000\n49415 74194\n44661 67060\n76924 100000\n85000 100000\n58897 88398\n44184 66364\n20499 30772\n86806 100000\n33563 50389\n74595 100000\n68724 100000\n23638 35485\n2304 3455\n92605 100000\n62362 93558\n35831 53781\n38394 57608\n68651 100000\n40839 61305\n998 1494\n8246 12369\n93731 100000\n9802 14663\n28817 43260\n26656 39988\n40584 60909\n17556 26331\n67354 100000\n81896 100000\n86435 100000\n69882 100000\n28561 42879\n43399 65187\n99776 100000\n27195 40806\n77065 100000\n31854 47825\n11947 17904\n6469 9715\n87816 100000\n17016 25508\n70187 100000\n77210 100000\n53575 80393\n55040 82558\n49966 74997\n39246 58902\n13762 20595\n40793 61232\n6821 10237\n85855 100000\n15924 23837\n67017 100000\n87572 100000\n47458 71280\n74262 100000\n38631 57969\n27164 40756\n36187 54304\n35013 52567\n23067 34636\n16102 24113\n24334 36527\n86993 100000\n58280 87454\n82354 100000\n62399 93613\n64298 96450\n21164 31758\n67005 100000\n39106 58689\n13489 20204\n33075 49652\n58793 88235\n50760 76181\n22527 33826\n43073 64703\n52453 78711\n48190 72367\n9623 14393\n1342 1993\n88636 100000\n8 12\n76554 100000\n28007 42041\n65926 98896\n51161 76775\n52609 78946\n21021 31543\n17604 26405\n53518 80310\n11244 16831\n20966 31463\n56271 84420\n9596 14356\n13153 19706\n24806 37244\n33278 49959\n75950 100000\n7661 11504\n60554 90849\n84068 100000\n76203 100000\n744 1118\n40435 60685\n46738 70195\n88243 100000\n94222 100000\n98361 100000\n55200 82811\n76873 100000\n90327 100000\n12317 18444\n2614 3925\n41565 62416\n79071 100000\n19155 28744\n41778 62744\n60238 90383\n62699 94068\n98734 100000\n23792 35712\n37299 55976\n17827 26751\n80126 100000\n93693 100000\n6205 9321\n71111 100000\n78295 100000\n31551 47368\n6850 10286\n35971 53987\n6489 9746\n44764 67208\n91847 100000\n75014 100000\n9576 14325\n94198 100000\n42611 64003\n32784 49222\n344 524\n76398 100000\n45248 67939\n99439 100000\n82115 100000\n22279 33466\n22008 33058\n38951 58456\n62004 93007\n27299 40963\n90787 100000\n38229 57366\n2877 4322\n89374 100000\n5359 8052\n2537 3808\n34670 52052\n60267 90420\n40801 61245\n18682 28037\n18639 27974\n3044 4576\n37996 57028\n97805 100000\n35792 53722\n68196 100000\n92132 100000\n55321 82987\n43304 65050\n56951 85442\n18699 28063\n98968 100000\n34710 52113\n53376 80080\n99428 100000\n19744 29626\n17782 26681\n8220 12333\n74548 100000\n9875 14774\n9189 13757\n8425 12626\n32568 48892\n27707 41586\n36528 54820\n49765 74709\n83518 100000\n40799 61243\n96925 100000\n67745 100000\n8708 13043\n96777 100000\n28581 42909\n39787 59716\n1956 2931\n79002 100000\n2664 4000\n51651 77518\n26188 39286\n27723 41608\n50308 75507\n25448 38184\n31323 47027\n40445 60699\n41258 61943\n15459 23160\n56506 84781\n27768 41680\n48481 72808\n20288 30445\n94042 100000\n19765 29657\n63237 94855\n69429 100000\n12864 19276\n26507 39770\n22727 34119\n53388 80102\n17581 26369\n76198 100000\n63018 94531\n90940 100000\n94650 100000\n4613 6938\n1845 2773\n29766 44673\n65688 98534\n35309 53006\n50498 75785\n37235 55878\n96572 100000\n20287 30444\n99520 100000\n51410 77146\n92 143\n26816 40235\n82878 100000\n58039 87072\n56022 84046\n43930 65975\n31159 46790\n41017 61571\n17987 26986\n45198 67864\n10309 15414\n16221 24289\n73590 100000\n28838 43294\n95384 100000\n8628 12922\n92025 100000\n71109 100000\n57025 85564\n91357 100000\n55359 83043\n28156 42271\n51097 76685\n26160 39241\n19184 28784\n96668 100000\n88012 100000\n14628 21894\n12805 19189\n6466 9710\n55758 83649\n10256 15335\n91948 100000\n15424 23100\n40821 61273\n13456 20155\n92581 100000\n54031 81079\n38498 57769\n10788 16148\n57316 85979\n18980 28478\n4180 6293\n84076 100000\n42176 63335\n17120 25663\n99110 100000\n87559 100000\n26307 39470\n33352 50067\n78900 100000\n80498 100000\n17989 26988\n49474 74283\n89133 100000\n8048 12076\n41065 61643\n7664 11508\n32555 48874\n85836 100000\n18954 28438\n58970 88493\n19969 29963\n80589 100000\n87679 100000\n34071 51175\n10352 15474\n65291 97939\n95951 100000\n1044 1560\n22365 33582\n83520 100000\n58906 88409\n49396 74163\n5844 8787\n98204 100000\n82716 100000\n31482 47272\n14771 22108\n82540 100000\n10233 15301\n82469 100000\n66403 99609\n81734 100000\n3367 5067\n57401 86110\n32800 49245\n39335 59036\n17087 25614\n30277 45458\n45147 67793\n89043 100000\n81155 100000\n32721 49122\n82682 100000\n31706 47589\n13052 19561\n23132 34731\n59346 89055\n95969 100000\n94058 100000\n39722 59618\n27075 40625\n73874 100000\n20087 30135\n15259 22843\n13067 19582\n96672 100000\n24675 37055\n72989 100000\n7493 11257\n94226 100000\n50616 75961\n60019 90058\n57106 85677\n76729 100000\n92054 100000\n22840 34288\n68231 100000\n6581 9885\n27441 41178\n38721 58109\n62736 94117\n53444 80189\n77218 100000\n4963 7459\n21639 32489\n55877 83825\n22681 34053\n94898 100000\n65485 98232\n29555 44365\n29472 44242\n29061 43633\n79465 100000\n7514 11288\n54428 81653\n59516 89310\n80286 100000\n23321 35014\n10712 16031\n72665 100000\n26712 40078\n27376 41080\n36831 55260\n56919 85391\n71588 100000\n65766 98652\n94953 100000\n39283 58957\n42840 64354\n51926 77923\n86268 100000\n43590 65468\n89213 100000\n36906 55379\n60148 90251\n12795 19173\n30675 46065\n2178 3265\n38641 57981\n4442 6685\n57845 86781\n43822 65808\n57754 86635\n57533 86307\n71528 100000\n59847 89803\n54235 81380\n61595 92402\n19190 28793\n20308 30475\n50390 75628\n69433 100000\n8762 13123\n24564 36885\n25439 38173\n37122 55703\n85121 100000\n76207 100000\n27267 40912\n1960 2938\n20761 31154\n5222 7843\n82570 100000\n274 414\n46610 70009\n12988 19461\n46527 69882\n15147 22674\n26453 39691\n91639 100000\n4739 7126\n55535 83320\n62323 93497\n59831 89780\n88140 100000\n35466 53239\n2484 3726\n57862 86807\n63294 94937\n98060 100000\n71431 100000\n84735 100000\n26310 39473\n94992 100000\n9084 13597\n41506 62326\n86192 100000\n92894 100000\n35012 52565\n75595 100000\n63212 94819\n43030 64639\n91872 100000\n14750 22079\n32676 49058\n60870 91314\n32996 49535\n69233 100000\n67986 100000\n78592 100000\n83845 100000\n85500 100000\n76644 100000\n45100 67724\n74957 100000\n11618 17388\n18426 27650\n32358 48584\n92340 100000\n53782 80706\n57123 85701\n56059 84105\n89542 100000\n85148 100000\n73 112\n16798 25169\n14573 21814\n93436 100000\n40970 61496\n85188 100000\n11401 17061\n13921 20835\n76443 100000\n77625 100000\n28199 42338\n11887 17807\n29700 44579\n63194 94792\n86644 100000\n67959 100000\n15601 23365\n64546 96825\n79413 100000\n27240 40878\n98201 100000\n40153 60258\n54991 82487\n98162 100000\n25385 38097\n1735 2604\n19399 29107\n31650 47511\n86845 100000\n83635 100000\n49398 74166\n90300 100000\n43929 65973\n36928 55413\n5779 8689\n33398 50135\n56408 84629\n77066 100000\n40097 60175\n72578 100000\n80868 100000\n59589 89417\n82596 100000\n92537 100000\n47774 71749\n86826 100000\n36215 54345\n7856 11794\n49068 73689\n19198 28803\n41837 62832\n96455 100000\n17836 26763\n92900 100000\n83107 100000\n18418 27639\n37270 55933\n17311 25967\n72172 100000\n22398 33629\n98764 100000\n31933 47944\n78381 100000\n80299 100000\n30823 46282\n71775 100000\n88822 100000\n23504 35288\n61579 92380\n31617 47469\n67810 100000\n50119 75222\n92556 100000\n55581 83389\n11546 17280\n27040 40567\n21730 32628\n77768 100000\n84708 100000\n44439 66738\n1542 2306\n39980 60001\n25741 38613\n28997 43538\n84254 100000\n36653 55001\n67579 100000\n83986 100000\n35554 53371\n80291 100000\n97390 100000\n67965 100000\n7667 11513\n64408 96617\n77992 100000\n24637 36993\n49399 74168\n52206 78342\n28141 42248\n49234 73937\n70051 100000\n8542 12797\n58127 87218\n91100 100000\n41875 62888\n76702 100000\n72093 100000\n38356 57552\n88526 100000\n9038 13528\n21609 32438\n17170 25749\n161 245\n27305 40971\n93461 100000\n87631 100000\n70377 100000\n96667 100000\n17972 26963\n89291 100000\n89987 100000\n62510 93782\n43449 65260\n44869 67377\n70255 100000\n87883 100000\n32101 48197\n12659 18967\n39041 58594\n31332 47042\n5326 8006\n80770 100000\n16652 24951\n20789 31199\n61687 92534\n37069 55627\n7658 11500\n199 304\n44267 66482\n76137 100000\n31764 47685\n64986 97481\n80869 100000\n2476 3714\n22470 33741\n23107 34697\n96381 100000\n54364 81568\n61920 92883\n36161 54269\n79725 100000\n22297 33490\n91395 100000\n33169 49792\n8481 12714\n48780 73259\n7944 11919\n67999 100000\n17557 26333\n56643 84990\n19313 28973\n27950 41956\n53071 79638\n85891 100000\n80920 100000\n14520 21731\n44856 67356\n9546 14286\n84176 100000\n39262 58925\n70726 100000\n45407 68175\n11850 17747\n98078 100000\n32325 48535\n83365 100000\n4201 6323\n74271 100000\n63491 95233\n57436 86158\n84906 100000\n88456 100000\n46985 70559\n35492 53275\n50686 76061\n49760 74701\n44723 67146\n8610 12896\n97751 100000\n20009 30014\n24279 36437\n62163 93258\n16601 24879\n11158 16703\n97541 100000\n93061 100000\n35358 53082\n95798 100000\n14900 22304\n13398 20074\n23146 34754\n82299 100000\n7933 11902\n23543 35345\n22828 34271\n34097 51213\n35574 53400\n4894 7356\n4997 7509\n59610 89446\n65994 99000\n10377 15514\n56505 84780\n98890 100000\n12701 19028\n24022 36068\n78065 100000\n52314 78498\n94768 100000\n49102 73740\n29355 44070\n87762 100000\n76626 100000\n5766 8670\n434 660\n40140 60239\n12467 18676\n48505 72848\n39182 58804\n30724 46134\n80678 100000\n96264 100000\n90035 100000\n84339 100000\n67056 100000\n21479 32237\n89057 100000\n82329 100000\n24857 37320\n20820 31244\n6427 9654\n76942 100000\n3344 5030\n37784 56706\n36401 54627\n63627 95435\n36717 55092\n12218 18292\n59051 88612\n25978 38962\n31060 46644\n86803 100000\n62739 94123\n55892 83850\n78660 100000\n58478 87764\n4838 7265\n51295 76974\n47540 71404\n70556 100000\n68691 100000\n53903 80886\n5933 8916\n18835 28264\n70910 100000\n82861 100000\n59144 88749\n68089 100000\n56946 85434\n75809 100000\n27460 41208\n74385 100000\n19813 29735\n7899 11857\n17272 25909\n37519 56304\n68959 100000\n19126 28698\n87954 100000\n42404 63694\n22171 33301\n74265 100000\n80109 100000\n8726 13066\n70334 100000\n74888 100000\n2680 4022\n78863 100000\n3630 5465\n47030 70632\n17873 26820\n49046 73655\n62195 93306\n44865 67371\n55598 83414\n8549 12806\n28134 42236\n26794 40203\n79817 100000\n82270 100000\n43358 65128\n51587 77416\n75593 100000\n85239 100000\n85770 100000\n47675 71604\n67101 100000\n18589 27899\n61283 91931\n49552 74403\n82551 100000\n79691 100000\n78676 100000\n75414 100000\n64708 97065\n79829 100000\n50213 75362\n64960 97444\n55933 83909\n80008 100000\n15579 23335\n7362 11058\n90604 100000\n40240 60387\n18944 28421\n65662 98496\n40408 60641\n11284 16891\n89519 100000\n53248 79894\n73475 100000\n40665 61033\n6355 9544\n94364 100000\n42200 63369\n42478 63807\n89314 100000\n6083 9140\n79781 100000\n87931 100000\n21153 31743\n5385 8093\n87233 100000\n19342 29018\n49931 74948\n89293 100000\n32612 48961\n57065 85623\n38400 57619\n76056 100000\n46446 69761\n53885 80855\n68312 100000\n66508 99759\n47501 71344\n95775 100000\n39458 59222\n95790 100000\n8078 12114\n20270 30418\n43615 65501\n35391 53125\n14997 22454\n33972 51019\n43143 64811\n66794 100000\n63931 95891\n55596 83410\n25789 38684\n46332 69575\n16535 24773\n88680 100000\n47212 70908\n30689 46086\n18400 27613\n6231 9358\n86196 100000\n4834 7259\n24001 36034\n12364 18519\n48758 73225\n90710 100000\n54934 82402\n10965 16412\n83573 100000\n49877 74878\n8408 12603\n54968 82450\n19640 29476\n45155 67806\n53231 79870\n70083 100000\n76055 100000\n26570 39862\n29361 44077\n65818 98728\n75138 100000\n54332 81526\n79047 100000\n16218 24284\n87691 100000\n53915 80905\n91799 100000\n25330 38018\n36453 54705\n71673 100000\n13576 20332\n30748 46171\n76906 100000\n83510 100000\n40229 60370\n16776 25133\n9811 14676\n87982 100000\n33247 49910\n52262 78422\n87598 100000\n75510 100000\n21432 32167\n62119 93186\n38000 57034\n35491 53273\n21497 32264\n25063 37628\n45139 67780\n95061 100000\n19413 29131\n2731 4103\n28910 43406\n30495 45789\n96322 100000\n24229 36369\n45749 68689\n69306 100000\n45446 68236\n11984 17957\n85332 100000\n79229 100000\n67488 100000\n21788 32721\n10260 15340\n91165 100000\n71347 100000\n55800 83711\n54104 81184\n95073 100000\n55763 83657\n10113 15122\n88253 100000\n82991 100000\n97470 100000\n21333 32017\n53123 79717\n54492 81752\n38871 58334\n72229 100000\n56439 84683\n68667 100000\n67318 100000\n84758 100000\n27291 40950\n92647 100000\n74446 100000\n54135 81231\n79326 100000\n73572 100000\n84350 100000\n99132 100000\n4661 7009\n78022 100000\n25915 38862\n55028 82537\n13654 20437\n7382 11088\n83712 100000\n12229 18309\n7317 10989\n17334 26002\n4959 7454\n81855 100000\n17496 26243\n32782 49219\n74328 100000\n55903 83866\n39234 58885\n80827 100000\n91972 100000\n39394 59131\n84667 100000\n69328 100000\n27304 40970\n63187 94782\n7925 11892\n93408 100000\n12340 18482\n62083 93135\n72722 100000\n27906 41888\n4228 6360\n40415 60652\n23600 35428\n68237 100000\n79723 100000\n42692 64129\n53615 80455\n69734 100000\n45420 68194\n17307 25961\n37034 55578\n90371 100000\n43026 64633\n32468 48752\n38635 57974\n36420 54655\n70351 100000\n75978 100000\n62698 94067\n40681 61060\n28609 42954\n33599 50440\n34486 51773\n59777 89705\n93175 100000\n8440 12647\n78286 100000\n51248 76905\n27473 41228\n82704 100000\n38286 57450\n37314 55998\n58050 87089\n23060 34625\n7354 11045\n14808 22166\n40779 61214\n67845 100000\n42369 63637\n20787 31197\n29479 44253\n32884 49370\n64163 96245\n38038 57085\n36835 55267\n52223 78366\n98094 100000\n95767 100000\n96682 100000\n61488 92245\n82783 100000\n6919 10390\n2323 3489\n56285 84440\n16269 24362\n83181 100000\n51897 77883\n51847 77808\n88168 100000\n16581 24847\n26035 39052\n22926 34420\n14854 22233\n96677 100000\n95744 100000\n28540 42849\n4498 6765\n60911 91374\n11309 16930\n88258 100000\n71029 100000\n25556 38338\n6061 9107\n52897 79385\n92968 100000\n99856 100000\n2448 3671\n89862 100000\n58223 87368\n23924 35911\n73154 100000\n59385 89114\n57450 86179\n65878 98825\n16903 25333\n37438 56185\n29608 44441\n56980 85487\n24956 37472\n53981 81003\n87571 100000\n61115 91680\n51126 76727\n30262 45435\n68808 100000\n19872 29819\n70172 100000\n2708 4066\n90803 100000\n51213 76852\n63493 95236\n20165 30254\n76183 100000\n63566 95347\n64771 97157\n20169 30259\n43313 65066\n66497 99744\n85912 100000\n77371 100000\n35603 53449\n47117 70767\n20691 31056\n88674 100000\n8599 12881\n95557 100000\n97167 100000\n9799 14659\n9672 14462\n62255 93396\n11494 17204\n55377 83072\n78012 100000\n1047 1565\n10372 15506\n61640 92469\n86330 100000\n2326 3492\n40086 60160\n18640 27975\n23176 34799\n71028 100000\n83194 100000\n5425 8157\n69509 100000\n18756 28148\n94007 100000\n70931 100000\n43463 65278\n79968 100000\n77206 100000\n55565 83364\n61779 92669\n12020 18013\n57726 86596\n67253 100000\n73988 100000\n86443 100000\n37391 56113\n898 1351\n98779 100000\n83292 100000\n92880 100000\n5528 8316\n9635 14409\n88513 100000\n89052 100000\n42137 63278\n8621 12910\n36979 55493\n98057 100000\n11109 16629\n7815 11735\n40280 60447\n67473 100000\n3471 5229\n97900 100000\n25929 38887\n51247 76904\n30777 46214\n98289 100000\n86296 100000\n77588 100000\n10616 15877\n69688 100000\n29525 44318\n52963 79482\n81295 100000\n54714 82071\n63114 94678\n34559 51881\n71379 100000\n87309 100000\n96850 100000\n22795 34221\n79024 100000\n60348 90542\n30627 45991\n45463 68262\n23002 34535\n55516 83289\n2907 4369\n9107 13630\n48038 72149\n75290 100000\n92837 100000\n54687 82027\n16304 24414\n68342 100000\n53687 80559\n33176 49802\n29821 44754\n60616 90942\n92298 100000\n6743 10125\n82589 100000\n7241 10877\n23393 35116\n47964 72035\n4685 7045\n79460 100000\n83694 100000\n61497 92258\n68911 100000\n11953 17914\n41641 62534\n80398 100000\n89522 100000\n84859 100000\n81328 100000\n73703 100000\n56101 84166\n53189 79812\n75539 100000\n87002 100000\n98472 100000\n82035 100000\n50205 75351\n58108 87186\n49380 74138\n75523 100000\n24121 36217\n54325 81518\n4790 7198\n53813 80749\n46415 69711\n4659 7006\n63089 94639\n41443 62229\n9227 13814\n16666 24973\n82440 100000\n71671 100000\n10856 16251\n39140 58743\n95005 100000\n35135 52743\n98841 100000\n42349 63606\n4995 7507\n18776 28176\n93083 100000\n87582 100000\n19410 29125\n39389 59122\n6860 10303\n15926 23839\n40025 60070\n22867 34326\n20493 30764\n4920 7395\n85139 100000\n17481 26220\n48831 73332\n22404 33638\n46777 70257\n22671 34038\n56369 84571\n69177 100000\n41156 61790\n6763 10155\n48250 72448\n52048 78113\n50751 76166\n92855 100000\n71240 100000\n52033 78089\n33503 50295\n80730 100000\n85441 100000\n78101 100000\n69415 100000\n89824 100000\n64327 96494\n59260 88925\n41252 61932\n23430 35171\n85614 100000\n32103 48201\n61220 91835\n97583 100000\n64662 96994\n2153 3226\n96047 100000\n16393 24541\n7631 11463\n55452 83192\n13947 20875\n18484 27737\n12358 18508\n57699 86555\n27761 41668\n86946 100000\n2621 3937\n20083 30127\n25621 38437\n28573 42897\n63008 94517\n90282 100000\n97749 100000\n4478 6736\n50060 75132\n60281 90441\n50653 76016\n57880 86835\n93712 100000\n18512 27780\n85567 100000\n60860 91298\n99989 100000\n92568 100000\n36129 54223\n12967 19429\n7414 11138\n86671 100000\n85464 100000\n45932 68965\n1925 2887\n22888 34359\n86696 100000\n73219 100000\n41621 62504\n24163 36276\n88386 100000\n1430 2137\n25800 38699\n73260 100000\n7732 11615\n13530 20265\n26634 39958\n77423 100000\n84555 100000\n14459 21644\n44432 66728\n16645 24942\n55038 82555\n54848 82272\n90499 100000\n82569 100000\n71419 100000\n36340 54534\n70329 100000\n93793 100000\n13769 20605\n19137 28714\n22710 34096\n77621 100000\n74118 100000\n92238 100000\n36334 54526\n8944 13389\n88020 100000\n10708 16024\n25774 38663\n84661 100000\n88487 100000\n78672 100000\n62262 93407\n91579 100000\n64472 96723\n89584 100000\n45432 68214\n46939 70493\n96382 100000\n59422 89174\n84312 100000\n95135 100000\n14393 21540\n5146 7731\n2345 3522\n9600 14362\n40707 61104\n1983 2972\n18369 27561\n80046 100000\n66181 99281\n79308 100000\n71164 100000\n36638 54979\n83406 100000\n99325 100000\n34510 51809\n2746 4125\n55553 83348\n80946 100000\n19476 29230\n84104 100000\n59608 89443\n11851 17748\n81172 100000\n36233 54370\n54919 82377\n60142 90242\n15992 23945\n23186 34814\n10140 15166\n44163 66330\n279 420\n67455 100000\n69636 100000\n59505 89294\n21665 32530\n8863 13269\n94723 100000\n62962 94449\n76210 100000\n99291 100000\n81856 100000\n2107 3155\n75146 100000\n59659 89524\n40204 60332\n12741 19088\n62737 94119\n59453 89217\n43525 65368\n25320 38003\n79082 100000\n27470 41224\n43016 64621\n82371 100000\n9571 14320\n28356 42573\n15661 23454\n71594 100000\n5084 7638\n54938 82407\n62922 94391\n20203 30314\n46234 69424\n65941 98918\n11336 16969\n3315 4986\n4730 7113\n57631 86458\n5327 8007\n69780 100000\n21750 32659\n82582 100000\n85737 100000\n83662 100000\n94568 100000\n78629 100000\n14526 21741\n94933 100000\n65127 97688\n4219 6347\n8448 12661\n56391 84603\n60098 90178\n5981 8985\n55694 83555\n84252 100000\n9882 14783\n44849 67343\n504 761\n93498 100000\n9933 14856\n77599 100000\n63838 95748\n34305 51508\n73437 100000\n93784 100000\n63226 94841\n4472 6727\n28836 43291\n31727 47621\n18687 28044\n57836 86768\n73676 100000\n39292 58971\n63667 95495\n21032 31562\n40250 60402\n51862 77830\n25834 38750\n68573 100000\n64208 96309\n8034 12052\n80167 100000\n48906 73445\n65366 98052\n26781 40183\n98599 100000\n29417 44157\n69471 100000\n61745 92622\n84206 100000\n10533 15751\n14335 21458\n83879 100000\n40868 61349\n59638 89488\n8352 12519\n20524 30812\n38561 57867\n13554 20301\n86437 100000\n81585 100000\n29374 44094\n4303 6477\n57335 86008\n18721 28096\n3080 4631\n51463 77225\n38455 57702\n80372 100000\n59194 88824\n97596 100000\n83735 100000\n9298 13920\n49169 73845\n59049 88609\n81479 100000\n88945 100000\n67828 100000\n94448 100000\n4033 6082\n25379 38087\n43738 65687\n27825 41765\n81748 100000\n43979 66046\n3422 5153\n37873 56842\n66655 99969\n67238 100000\n89513 100000\n46292 69512\n42976 64559\n74225 100000\n91690 100000\n36091 54166\n61450 92182\n56198 84316\n48146 72302\n87146 100000\n43172 64855\n46645 70061\n17667 26506\n41481 62285\n35843 53799\n2157 3233\n18940 28415\n77820 100000\n28803 43236\n78826 100000\n34198 51350\n42738 64199\n29202 43846\n37247 55897\n66138 99215\n45439 68224\n73526 100000\n85197 100000\n76224 100000\n75422 100000\n30998 46550\n46943 70498\n89765 100000\n15836 23706\n96894 100000\n51315 77001\n77513 100000\n6177 9281\n99083 100000\n16834 25226\n40355 60567\n92755 100000\n43284 65019\n12835 19232\n67379 100000\n9656 14439\n55159 82752\n69210 100000\n94405 100000\n36109 54194\n24230 36370\n59560 89373\n53899 80878\n28267 42444\n6878 10329\n46640 70053\n18404 27619\n2786 4184\n15303 22910\n28068 42137\n60391 90611\n38219 57351\n43709 65644\n65075 97609\n72039 100000\n87151 100000\n15382 23036\n39358 59071\n23423 35160\n2996 4507\n20100 30154\n5503 8279\n7816 11736\n90662 100000\n15210 22773\n18792 28201\n2806 4215\n6042 9075\n41144 61771\n68613 100000\n19649 29488\n41298 62007\n90767 100000\n36760 55153\n24371 36587\n80860 100000\n82379 100000\n86567 100000\n99883 100000\n31125 46741\n73628 100000\n96555 100000\n61069 91606\n28679 43057\n45787 68743\n97478 100000\n88022 100000\n14614 21876\n64162 96244\n11865 17772\n66939 100000\n6423 9648\n77626 100000\n28822 43269\n55242 82870\n41119 61732\n56284 84439\n51020 76568\n79143 100000\n97849 100000\n91587 100000\n26810 40226\n93283 100000\n22749 34153\n75446 100000\n86632 100000\n80142 100000\n10269 15353\n36443 54689\n63687 95523\n43164 64844\n85617 100000\n24128 36226\n9801 14661\n5825 8758\n8525 12773\n99528 100000\n88900 100000\n51771 77695\n96274 100000\n48823 73321\n44668 67069\n86607 100000\n72327 100000\n94501 100000\n7263 10906\n25770 38658\n14378 21521\n55569 83371\n28916 43415\n97364 100000\n39592 59427\n20571 30880\n71738 100000\n54862 82292\n22298 33491\n4285 6446\n62101 93160\n70136 100000\n59407 89151\n30646 46019\n24916 37412\n62934 94411\n61903 92859\n15380 23032\n68679 100000\n66010 99022\n63127 94697\n36028 54076\n40486 60759\n40216 60349\n74058 100000\n82936 100000\n84750 100000\n53751 80659\n90013 100000\n51767 77688\n24670 37046\n74200 100000\n21825 32778\n95287 100000\n69273 100000\n71827 100000\n59870 89833\n66030 99048\n45119 67752\n99239 100000\n14413 21572\n97953 100000\n76446 100000\n41532 62363\n59075 88648\n82385 100000\n76058 100000\n65597 98395\n35167 52794\n16410 24569\n77040 100000\n94905 100000\n58088 87154\n77168 100000\n16201 24260\n19577 29381\n97508 100000\n61677 92520\n10984 16442\n71249 100000\n6367 9561\n25249 37908\n19441 29175\n86953 100000\n14662 21946\n62970 94461\n72678 100000\n9236 13828\n7747 11637\n7360 11055\n85355 100000\n58658 88042\n3200 4815\n14411 21568\n39836 59788\n71135 100000\n86037 100000\n7424 11153\n79786 100000\n98211 100000\n8920 13355\n86683 100000\n14140 21170\n28033 42085\n20995 31505\n5729 8617\n85257 100000\n93174 100000\n49050 73660\n40276 60441\n23288 34960\n45968 69019\n93555 100000\n6158 9256\n89626 100000\n7952 11932\n75689 100000\n96416 100000\n31636 47495\n9416 14100\n12306 18426\n17869 26813\n40307 60488\n70633 100000\n15361 23006\n51487 77260\n82576 100000\n91900 100000\n29989 45013\n53470 80233\n88409 100000\n15076 22570\n97551 100000\n64389 96585\n96265 100000\n2812 4222\n8113 12166\n60062 90125\n13668 20455\n18346 27527\n64958 97440\n60289 90452\n73032 100000\n16964 25429\n3218 4841\n8264 12394\n39167 58785\n3047 4581\n48794 73281\n93511 100000\n9274 13882\n31490 47282\n83611 100000\n35897 53881\n24481 36759\n34905 52408\n39282 58955\n43255 64977\n89359 100000\n41254 61936\n45302 68020\n28277 42459\n71427 100000\n82228 100000\n52702 79087\n34597 51938\n47021 70620\n13853 20730\n54386 81597\n39221 58864\n63781 95665\n74419 100000\n24767 37188\n28899 43388\n70372 100000\n88106 100000\n81814 100000\n64758 97138\n62583 93898\n91227 100000\n86775 100000\n9080 13590\n335 510\n2687 4034\n34206 51361\n6093 9157\n21276 31929\n23755 35656\n13907 20811\n56608 84934\n75232 100000\n89235 100000\n83921 100000\n78120 100000\n74729 100000\n27360 41053\n40958 61479\n80768 100000\n77126 100000\n35158 52778\n17254 25881\n40112 60200\n34395 51644\n12646 18951\n78761 100000\n29679 44548\n4101 6181\n93021 100000\n92488 100000\n95788 100000\n86227 100000\n48979 73555\n13429 20120\n94760 100000\n35192 52831\n89054 100000\n92762 100000\n40300 60477\n40989 61526\n70328 100000\n23421 35158\n12339 18480\n25382 38093\n18828 28251\n20369 30565\n63586 95377\n85630 100000\n12255 18349\n75871 100000\n40157 60266\n28497 42782\n39005 58542\n48349 72601\n71204 100000\n16324 24444\n3670 5524\n34137 51263\n35566 53387\n69565 100000\n95226 100000\n63354 95027\n45063 67674\n52945 79456\n4333 6524\n61809 92716\n82561 100000\n67255 100000\n66504 99753\n85620 100000\n82148 100000\n86708 100000\n87192 100000\n2423 3636\n77021 100000\n68557 100000\n28140 42246\n28099 42184\n62387 93596\n14256 21341\n62948 94428\n71718 100000\n71311 100000\n1823 2737\n34433 51698\n98575 100000\n76080 100000\n66540 99808\n58438 87697\n82761 100000\n30768 46201\n91151 100000\n37913 56902\n70254 100000\n21282 31938\n87773 100000\n43177 64863\n56512 84790\n50291 75482\n96907 100000\n39059 58616\n7763 11661\n49908 74919\n23583 35401\n90219 100000\n63541 95309\n63606 95406\n73007 100000\n88846 100000\n12147 18191\n18740 28125\n57238 85867\n62342 93526\n22847 34299\n52865 79339\n6488 9744\n90853 100000\n34024 51099\n76682 100000\n4137 6231\n86418 100000\n88042 100000\n25921 38874\n56539 84831\n54180 81295\n83229 100000\n2726 4097\n90799 100000\n3920 5908\n43127 64789\n10599 15852\n19088 28638\n90760 100000\n32071 48153\n20996 31506\n69704 100000\n55369 83060\n35528 53331\n6183 9290\n45277 67981\n11587 17341\n85837 100000\n91447 100000\n69440 100000\n73669 100000\n35503 53293\n35125 52727\n48755 73222\n88276 100000\n47706 71651\n11998 17979\n73498 100000\n40339 60541\n88490 100000\n14184 21236\n3978 5998\n14679 21970\n4087 6160\n66229 99352\n93554 100000\n26103 39149\n75895 100000\n18609 27930\n14018 20984\n7084 10636\n8932 13372\n38085 57155\n15451 23146\n51313 76997\n5306 7976\n66224 99346\n93881 100000\n41196 61852\n36382 54599\n87448 100000\n93388 100000\n60834 91262\n75328 100000\n95886 100000\n20808 31226\n29169 43797\n62901 94362\n20978 31479\n67660 100000\n65659 98491\n20587 30908\n96639 100000\n67727 100000\n3724 5605\n34883 52374\n58027 87051\n23893 35861\n79151 100000\n64028 96042\n42097 63216\n93987 100000\n31269 46945\n83646 100000\n49972 75006\n48180 72352\n90729 100000\n12115 18143\n27207 40826\n19675 29526\n34600 51941\n34134 51259\n27677 41539\n34832 52300\n28062 42127\n71732 100000\n8093 12136\n59974 89990\n13112 19645\n4274 6430\n30951 46477\n61250 91882\n71351 100000\n75662 100000\n30084 45154\n10315 15423\n60982 91478\n59069 88639\n10203 15253\n94680 100000\n10966 16414\n48466 72786\n56768 85164\n89925 100000\n11094 16609\n86441 100000\n41331 62058\n82504 100000\n31592 47431\n52598 78928\n5371 8072\n14676 21967\n61692 92541\n20023 30036\n24509 36802\n56810 85227\n95294 100000\n32588 48922\n88543 100000\n87716 100000\n27047 40579\n64927 97391\n10010 14965\n58646 88020\n85642 100000\n23445 35197\n71086 100000\n42701 64140\n7854 11792\n13664 20450\n23207 34842\n7847 11782\n22685 34059\n214 325\n38928 58418\n25224 37870\n1115 1661\n97879 100000\n21402 32122\n42469 63792\n78605 100000\n8529 12779\n68112 100000\n3865 5820\n11653 17443\n33299 49989\n89194 100000\n52373 78587\n45511 68335\n14330 21450\n43585 65462\n73392 100000\n99468 100000\n99612 100000\n84170 100000\n33838 50809\n56873 85318\n89255 100000\n34371 51607\n57191 85802\n91350 100000\n8393 12580\n46158 69302\n37240 55886\n95990 100000\n94101 100000\n85965 100000\n56237 84370\n12383 18547\n56752 85144\n97881 100000\n74208 100000\n33005 49548\n89275 100000\n71490 100000\n86234 100000\n417 634\n32307 48509\n66064 99101\n63078 94622\n57552 86336\n33729 50640\n65447 98173\n29667 44528\n33707 50601\n49539 74383\n62367 93565\n73633 100000\n65900 98854\n36943 55438\n94221 100000\n14664 21949\n74427 100000\n63011 94522\n87481 100000\n83827 100000\n1046 1564\n31099 46702\n93485 100000\n23203 34837\n759 1142\n89886 100000\n8228 12343\n50132 75241\n56934 85415\n16726 25060\n61922 92886\n87682 100000\n18163 27253\n95181 100000\n78261 100000\n90943 100000\n19581 29389\n52265 78427\n43986 66059\n65257 97882\n79075 100000\n17738 26614\n53180 79800\n64995 97493\n12683 19002\n51996 78030\n41137 61760\n27819 41756\n76451 100000\n93846 100000\n19878 29826\n35385 53119\n40249 60400\n58046 87082\n1236 1835\n77779 100000\n35576 53404\n47500 71343\n18417 27637\n16408 24566\n33289 49976\n75735 100000\n48894 73426\n32053 48128\n66576 99858\n4668 7019\n84596 100000\n41178 61821\n3381 5089\n72629 100000\n97065 100000\n67181 100000\n84314 100000\n98015 100000\n68727 100000\n9473 14182\n62038 93064\n79515 100000\n78840 100000\n68503 100000\n58818 88272\n97431 100000\n35064 52641\n72458 100000\n816 1227\n92819 100000\n82800 100000\n94200 100000\n25829 38742\n80762 100000\n9398 14068\n33965 51006\n51125 76726\n42560 63927\n42032 63122\n33346 50059\n697 1055\n19914 29880\n93602 100000\n87024 100000\n54953 82428\n8729 13070\n85909 100000\n21981 33017\n3967 5981\n91245 100000\n66664 99984\n44102 66233\n2366 3554\n99456 100000\n39631 59478\n54698 82045\n89560 100000\n19630 29460\n99020 100000\n95075 100000\n85171 100000\n87797 100000\n34555 51875\n28077 42151\n65168 97751\n13019 19511\n51835 77792\n7066 10610\n3352 5043\n43008 64607\n46762 70233\n99872 100000\n99309 100000\n32027 48086\n56532 84821\n49708 74627\n26704 40064\n31954 47973\n67338 100000\n84184 100000\n76024 100000\n72042 100000\n55471 83221\n52763 79189\n70523 100000\n91787 100000\n3005 4520\n12333 18471\n59617 89456\n21223 31850\n70950 100000\n19774 29674\n23003 34536\n59808 89750\n16073 24069\n85082 100000\n41633 62521\n3110 4675\n77986 100000\n16571 24830\n81102 100000\n13375 20043\n44505 66834\n60210 90343\n43236 64949\n11353 16994\n21392 32106\n55002 82501\n81186 100000\n25835 38751\n59427 89181\n76552 100000\n2240 3358\n30578 45915\n83323 100000\n28052 42114\n26520 39789\n43080 64714\n72282 100000\n25501 38262\n80634 100000\n18554 27846\n62056 93092\n24976 37504\n55718 83593\n10310 15416\n23634 35478\n47576 71455\n34394 51642\n80676 100000\n84281 100000\n44755 67195\n23662 35516\n61667 92506\n59241 88898\n95732 100000\n14826 22195\n48520 72869\n37273 55936\n21723 32616\n23451 35206\n93655 100000\n16442 24621\n14379 21523\n82251 100000\n86064 100000\n62909 94371\n35623 53479\n14089 21089\n30784 46223\n19033 28553\n17291 25939\n83374 100000\n78056 100000\n40823 61275\n3504 5275\n14400 21550\n43565 65428\n54758 82137\n77052 100000\n48558 72925\n68167 100000\n33010 49556\n2469 3704\n36437 54681\n79403 100000\n22070 33151\n13891 20788\n86068 100000\n7482 11241\n60010 90043\n68090 100000\n23694 35562\n96810 100000\n44265 66480\n51022 76571\n23667 35523\n95929 100000\n68421 100000\n87990 100000\n8329 12489\n98318 100000\n64542 96817\n47549 71415\n36452 54704\n21413 32139\n8923 13358\n61168 91758\n87278 100000\n22968 34483\n20142 30218\n9292 13912\n31923 47927\n34298 51497\n15043 22520\n12170 18224\n85789 100000\n13768 20604\n86767 100000\n55981 83984\n27226 40855\n85530 100000\n45975 69030\n436 663\n89858 100000\n14804 22160\n84179 100000\n46536 69897\n71270 100000\n49649 74539\n15918 23830\n30572 45906\n64096 96146\n39141 58744\n56407 84627\n9816 14685\n90336 100000\n56257 84399\n19753 29639\n57186 85793\n48105 72241\n94265 100000\n6773 10171\n13401 20078\n28872 43344\n56017 84040\n80744 100000\n18848 28283\n82072 100000\n71231 100000\n22872 34333\n27015 40531\n11597 17358\n88628 100000\n97665 100000\n14669 21957\n89405 100000\n3704 5577\n57711 86575\n48392 72672\n84329 100000\n9285 13901\n53522 80315\n5570 8380\n40094 60171\n86892 100000\n2068 3095\n16810 25191\n83479 100000\n96044 100000\n66387 99587\n58861 88341\n6015 9034\n27101 40669\n78205 100000\n18872 28316\n68402 100000\n77953 100000\n34580 51913\n37506 56286\n58354 87569\n64088 96134\n26250 39380\n3687 5550\n70675 100000\n84371 100000\n39581 59409\n93009 100000\n1308 1940\n28446 42710\n59204 88841\n57542 86322\n86840 100000\n76469 100000\n42588 63966\n71144 100000\n69856 100000\n90461 100000\n46054 69146\n20245 30378\n33866 50855\n57813 86731\n87330 100000\n73740 100000\n33786 50726\n97668 100000\n7937 11908\n42594 63977\n35359 53083\n52297 78471\n69456 100000\n25415 38142\n66556 99831\n21555 32347\n8216 12327\n73118 100000\n46282 69499\n14116 21131\n90078 100000\n43037 64651\n75434 100000\n49717 74640\n41250 61928\n55420 83144\n90359 100000\n43162 64840\n15393 23052\n49195 73880\n84871 100000\n7110 10672\n75676 100000\n13035 19534\n19862 29805\n74305 100000\n72129 100000\n53658 80516\n47099 70738\n98605 100000\n65613 98422\n97001 100000\n58755 88182\n65082 97619\n26680 40027\n7851 11787\n17390 26083\n67580 100000\n33265 49939\n53424 80162\n60496 90765\n725 1094\n75513 100000\n60156 90264\n39444 59200\n9456 14156\n96756 100000\n2205 3306\n28256 42424\n81261 100000\n44259 66471\n19924 29894\n68771 100000\n59654 89515\n87805 100000\n55990 83999\n90463 100000\n76597 100000\n35322 53026\n17870 26815\n86617 100000\n59878 89847\n20339 30522\n32186 48321\n74022 100000\n2751 4133\n21592 32411\n35690 53567\n65487 98235\n23460 35222\n53106 79691\n48225 72411\n2066 3092\n2261 3390\n30232 45387\n72371 100000\n12934 19382\n79989 100000\n17952 26939\n39060 58617\n92295 100000\n93422 100000\n13830 20697\n61017 91531\n14666 21952\n2827 4242\n30662 46044\n80801 100000\n93878 100000\n13218 19806\n74884 100000\n60276 90434\n55672 83522\n82563 100000\n99457 100000\n17540 26310\n66507 99757\n9341 13985\n39353 59063\n38327 57512\n95743 100000\n82380 100000\n42739 64201\n30639 46010\n56449 84698\n41070 61652\n6377 9578\n89628 100000\n60459 90709\n61880 92824\n78941 100000\n97894 100000\n17104 25638\n21355 32049\n31789 47725\n10076 15066\n43469 65287\n51673 77553\n39321 59015\n26801 40212\n21427 32160\n68041 100000\n78719 100000\n43192 64882\n91556 100000\n84023 100000\n44785 67240\n16422 24590\n76293 100000\n39679 59552\n95365 100000\n1096 1633\n84231 100000\n88944 100000\n38281 57444\n53222 79856\n9818 14688\n16364 24503\n64190 96283\n88903 100000\n46540 69904\n56382 84589\n16867 25276\n12077 18090\n86920 100000\n54866 82296\n70273 100000\n3147 4730\n53307 79981\n71358 100000\n84665 100000\n89668 100000\n49715 74636\n59889 89863\n14042 21017\n46748 70211\n78661 100000\n48713 73162\n76260 100000\n67480 100000\n96180 100000\n49368 74120\n46451 69768\n41651 62547\n38664 58020\n44729 67155\n58814 88266\n43959 66017\n61285 91933\n46961 70525\n27686 41552\n44075 66192\n26871 40320\n75663 100000\n62935 94412\n24773 37196\n78245 100000\n96753 100000\n56758 85150\n69262 100000\n35614 53464\n8475 12703\n73079 100000\n10618 15881\n24071 36138\n18389 27595\n63724 95580\n84169 100000\n34272 51458\n58973 88497\n42275 63485\n99943 100000\n50670 76038\n93077 100000\n16857 25261\n57169 85768\n53579 80398\n76957 100000\n79256 100000\n34207 51362\n60201 90332\n47711 71657\n53795 80725\n74144 100000\n53471 80235\n47391 71179\n26244 39371\n52195 78326\n69116 100000\n21973 33008\n29049 43616\n72231 100000\n65799 98700\n75462 100000\n88870 100000\n41209 61871\n29261 43933\n49498 74323\n31734 47635\n61251 91883\n1556 2325\n57822 86744\n14741 22065\n6712 10077\n43518 65359\n70097 100000\n79831 100000\n52694 79077\n91330 100000\n1659 2486\n6478 9729\n70595 100000\n80495 100000\n48873 73394\n13253 19858\n32806 49253\n72750 100000\n89137 100000\n44371 66639\n5623 8463\n90224 100000\n38479 57738\n16037 24013\n88748 100000\n21585 32398\n98625 100000\n71980 100000\n19436 29166\n2619 3933\n26548 39832\n56070 84121\n23284 34955\n13695 20496\n25436 38169\n85245 100000\n44061 66172\n70637 100000\n74126 100000\n95510 100000\n72507 100000\n16911 25346\n85553 100000\n77312 100000\n99081 100000\n99662 100000\n31276 46957\n93615 100000\n37402 56129\n65115 97670\n38406 57628\n92024 100000\n96329 100000\n83737 100000\n970 1452\n75097 100000\n75380 100000\n78112 100000\n16288 24391\n44702 67118\n10604 15859\n51582 77408\n19221 28839\n12253 18345\n61738 92609\n33045 49611\n87285 100000\n57735 86608\n59953 89963\n50011 75064\n68693 100000\n72815 100000\n2492 3736\n97187 100000\n30681 46074\n98324 100000\n50214 75363\n33880 50877\n96535 100000\n70421 100000\n50552 75866\n27432 41163\n23889 35855\n45305 68023\n56976 85480\n84145 100000\n60415 90648\n38150 57256\n92051 100000\n42802 64299\n64726 97091\n74287 100000\n83639 100000\n26098 39141\n83227 100000\n37852 56811\n70272 100000\n2935 4416\n91157 100000\n59003 88545\n37092 55661\n8162 12241\n50177 75311\n16013 23975\n42695 64133\n92783 100000\n89823 100000\n28306 42502\n42143 63288\n41133 61755\n3950 5954\n67542 100000\n25250 37910\n93501 100000\n13516 20243\n69129 100000\n53740 80641\n8157 12234\n16502 24715\n35629 53487\n75104 100000\n95366 100000\n89221 100000\n23633 35477\n59039 88597\n54755 82132\n20425 30654\n46229 69418\n48391 72670\n18586 27895\n27170 40765\n44465 66773\n99564 100000\n73205 100000\n9291 13911\n22254 33432\n2685 4030\n39226 58873\n63043 94567\n43616 65503\n72311 100000\n5915 8892\n73719 100000\n14139 21169\n765 1151\n47534 71393\n15523 23251\n13269 19884\n88810 100000\n93472 100000\n71716 100000\n38517 57798\n78398 100000\n84960 100000\n22567 33887\n30430 45689\n42332 63580\n46851 70367\n43003 64599\n25082 37655\n38660 58014\n48682 73116\n4993 7504\n67180 100000\n93908 100000\n38357 57553\n27547 41345\n72088 100000\n25578 38375\n23575 35390\n78165 100000\n31267 46943\n53642 80493\n72761 100000\n10090 15088\n44734 67162\n58881 88372\n82740 100000\n59855 89813\n96585 100000\n12509 18743\n604 913\n71915 100000\n58527 87832\n35244 52911\n62033 93054\n16557 24806\n69347 100000\n58517 87819\n57010 85537\n31171 46806\n8019 12030\n83868 100000\n17578 26363\n27382 41089\n59198 88831\n48486 72817\n54122 81212\n34478 51762\n38454 57700\n77858 100000\n69216 100000\n46230 69419\n88820 100000\n82533 100000\n68147 100000\n56205 84324\n59108 88697\n32273 48457\n31682 47556\n21286 31944\n42098 63218\n61925 92890\n19943 29924\n27567 41376\n43681 65601\n83500 100000\n55636 83473\n68761 100000\n90810 100000\n65709 98569\n85442 100000\n62420 93644\n60101 90184\n283 425\n96998 100000\n63587 95378\n40657 61019\n87848 100000\n22910 34398\n58673 88064\n60432 90671\n32432 48695\n82159 100000\n98585 100000\n29235 43896\n65044 97563\n38789 58218\n75604 100000\n72489 100000\n56812 85230\n57995 87003\n17848 26780\n18751 28141\n38045 57098\n99477 100000\n37294 55969\n11816 17698\n88459 100000\n74838 100000\n90575 100000\n34182 51327\n59146 88752\n53808 80742\n37167 55771\n23388 35109\n91197 100000\n35291 52979\n73378 100000\n53900 80880\n98917 100000\n90527 100000\n69895 100000\n37110 55683\n74370 100000\n88240 100000\n30387 45617\n70158 100000\n53526 80321\n45653 68542\n35035 52599\n73212 100000\n26860 40303\n70217 100000\n82195 100000\n63392 95084\n13051 19559\n60761 91153\n80910 100000\n33259 49930\n17462 26197\n5827 8760\n89024 100000\n97472 100000\n34592 51930\n86786 100000\n28787 43213\n20328 30504\n67331 100000\n13392 20067\n68145 100000\n65281 97923\n48233 72423\n12089 18106\n75136 100000\n41272 61966\n24897 37381\n49395 74161\n33704 50598\n38796 58229\n71132 100000\n49510 74339\n69002 100000\n19874 29822\n98702 100000\n7324 11002\n56208 84328\n93213 100000\n414 631\n27810 41742\n37991 57021\n31420 47177\n52644 79001\n45339 68073\n86796 100000\n90511 100000\n22119 33228\n50825 76279\n98366 100000\n27661 41512\n50109 75209\n74068 100000\n82543 100000\n73673 100000\n23251 34908\n69940 100000\n55538 83325\n89391 100000\n6401 9613\n10625 15892\n72258 100000\n55284 82933\n84998 100000\n53334 80024\n52191 78320\n90403 100000\n50998 76537\n71394 100000\n90603 100000\n17411 26115\n85254 100000\n71798 100000\n21536 32321\n94482 100000\n5807 8731\n43155 64829\n85667 100000\n94879 100000\n43578 65449\n93928 100000\n26074 39111\n66359 99542\n57583 86384\n69997 100000\n78527 100000\n7808 11725\n96761 100000\n28766 43183\n45895 68909\n95993 100000\n41048 61619\n45817 68789\n82097 100000\n76982 100000\n99839 100000\n79747 100000\n74462 100000\n75352 100000\n89589 100000\n2458 3688\n77496 100000\n59268 88939\n35643 53504\n73477 100000\n8482 12715\n30863 46345\n78927 100000\n84399 100000\n31972 48003\n70070 100000\n67193 100000\n19132 28706\n25627 38445\n19578 29383\n93745 100000\n38591 57910\n80710 100000\n99718 100000\n19317 28978\n5790 8705\n62529 93813\n37384 56103\n9682 14477\n39847 59806\n10731 16058\n85640 100000\n89590 100000\n1300 1928\n27556 41359\n11250 16841\n69455 100000\n27649 41494\n9218 13799\n19697 29560\n62002 93004\n78049 100000\n94208 100000\n89792 100000\n9839 14718\n69397 100000\n57199 85814\n29092 43677\n71098 100000\n26636 39960\n89658 100000\n63896 95836\n69691 100000\n15549 23289\n632 955\n3600 5418\n47639 71550\n57242 85873\n15859 23742\n69623 100000\n34759 52188\n45713 68635\n68688 100000\n95916 100000\n67971 100000\n33213 49855\n74072 100000\n56214 84337\n55110 82672\n35915 53908\n75764 100000\n72130 100000\n47617 71518\n52940 79449\n80687 100000\n60784 91190\n31243 46908\n60529 90812\n35956 53966\n35074 52656\n63017 94529\n94798 100000\n90598 100000\n51938 77941\n65262 97890\n56596 84915\n96267 100000\n34899 52399\n28157 42272\n76791 100000\n18610 27931\n25542 38318\n62512 93784\n68692 100000\n55856 83796\n68393 100000\n41566 62418\n86289 100000\n79010 100000\n79539 100000\n85559 100000\n53853 80810\n60119 90211\n7005 10516\n47533 71391\n78462 100000\n62706 94078\n59165 88781\n16123 24144\n59537 89341\n37566 56381\n66596 99887\n30864 46346\n96949 100000\n6766 10159\n44786 67242\n99588 100000\n44409 66697\n29166 43791\n53132 79730\n11904 17834\n42335 63583\n47614 71514\n66595 99886\n25075 37644\n18338 27513\n90464 100000\n4866 7309\n79890 100000\n77888 100000\n38373 57574\n78650 100000\n41891 62911\n85793 100000\n66628 99930\n24629 36980\n11615 17385\n40381 60605\n72431 100000\n8736 13081\n91170 100000\n19165 28758\n51534 77334\n96528 100000\n98097 100000\n36260 54415\n65806 98712\n41591 62456\n90634 100000\n91547 100000\n89212 100000\n27818 41755\n39495 59278\n98239 100000\n4872 7318\n29985 45007\n97636 100000\n23149 34758\n49020 73620\n38294 57462\n73622 100000\n38577 57891\n61837 92759\n34337 51557\n96550 100000\n8275 12410\n93479 100000\n56755 85147\n52735 79138\n84160 100000\n84670 100000\n44236 66436\n52031 78086\n14640 21913\n12542 18794\n61673 92514\n59945 89951\n52937 79445\n88767 100000\n27133 40715\n21866 32843\n46223 69408\n28002 42034\n25530 38305\n18094 27145\n43789 65760\n59016 88563\n16492 24698\n58038 87070\n75756 100000\n84337 100000\n9379 14040\n99904 100000\n80149 100000\n27940 41942\n62157 93250\n29390 44115\n74115 100000\n68815 100000\n17920 26893\n95476 100000\n54752 82128\n19573 29375\n44103 66234\n82044 100000\n74273 100000\n19488 29247\n79751 100000\n17064 25580\n38776 58198\n27249 40889\n55754 83645\n69640 100000\n45015 67602\n71223 100000\n98982 100000\n57802 86713\n90818 100000\n83445 100000\n69324 100000\n41687 62601\n18093 27144\n73348 100000\n64678 97018\n58373 87598\n15432 23114\n91734 100000\n45669 68567\n5903 8875\n61315 91978\n27808 41740\n80955 100000\n29402 44135\n52561 78875\n50729 76131\n46099 69214\n96090 100000\n47885 71919\n53724 80615\n29259 43931\n64428 96652\n83091 100000\n65203 97803\n98824 100000\n74337 100000\n32507 48805\n66961 100000\n24673 37051\n17157 25728\n20459 30710\n6759 10150\n50643 76000\n51452 77209\n69466 100000\n55704 83569\n4565 6868\n83780 100000\n6030 9055\n97240 100000\n81052 100000\n69973 100000\n4846 7278\n95979 100000\n91609 100000\n26897 40356\n29305 43992\n72170 100000\n14791 22140\n97006 100000\n46519 69870\n93137 100000\n96488 100000\n27845 41793\n451 685\n43108 64758\n99786 100000\n85515 100000\n54021 81064\n2588 3883\n75505 100000\n95457 100000\n73695 100000\n40335 60535\n6389 9594\n45777 68730\n93670 100000\n68966 100000\n37436 56182\n1362 2030\n41339 62071\n59458 89224\n68521 100000\n46072 69173\n13687 20484\n2995 4506\n75639 100000\n17791 26694\n93999 100000\n76638 100000\n27193 40802\n87960 100000\n40792 61230\n37323 56009\n71038 100000\n55848 83782\n15540 23276\n89147 100000\n21558 32352\n60091 90169\n23793 35713\n97191 100000\n74677 100000\n11278 16883\n46992 70570\n80688 100000\n70606 100000\n39323 59018\n11974 17945\n61484 92239\n42121 63252\n27800 41728\n54322 81514\n80560 100000\n50178 75313\n13651 20433\n2550 3827\n23216 34855\n23761 35664\n23822 35757\n93868 100000\n32137 48252\n32756 49176\n92818 100000\n77740 100000\n9741 14567\n8788 13158\n59590 89419\n72754 100000\n71046 100000\n6072 9123\n47830 71836\n94990 100000\n87865 100000\n79850 100000\n76190 100000\n77012 100000\n76555 100000\n70655 100000\n78420 100000\n81341 100000\n98513 100000\n61763 92648\n55056 82582\n28258 42428\n89671 100000\n17022 25515\n53786 80713\n24659 37027\n29244 43907\n44303 66537\n33164 49785\n9609 14374\n24315 36496\n35062 52637\n27793 41717\n14215 21285\n94286 100000\n69392 100000\n4431 6669\n44829 67311\n11357 17000\n73576 100000\n91013 100000\n90904 100000\n86349 100000\n31375 47106\n22284 33474\n9144 13686\n10683 15984\n15431 23113\n32064 48143\n43038 64653\n87588 100000\n37663 56524\n44690 67099\n71344 100000\n93098 100000\n45021 67611\n61878 92821\n7543 11332\n52703 79089\n95471 100000\n71391 100000\n23348 35053\n18552 27844\n36439 54684\n1030 1541\n45770 68720\n93288 100000\n50014 75067\n84396 100000\n2948 4436\n61822 92737\n67351 100000\n2691 4042\n19657 29501\n7480 11238\n87157 100000\n33230 49881\n85175 100000\n69569 100000\n75721 100000\n89594 100000\n10002 14953\n81892 100000\n65897 98851\n73684 100000\n45200 67867\n2945 4431\n56554 84853\n59517 89312\n66175 99271\n89898 100000\n46932 70484\n15814 23677\n5617 8455\n80932 100000\n18193 27295\n28770 43189\n68052 100000\n1482 2219\n55691 83550\n50486 75766\n73218 100000\n63317 94972\n72119 100000\n26658 39992\n71241 100000\n91614 100000\n59577 89400\n91299 100000\n46906 70443\n41732 62672\n9943 14871\n21952 32973\n13222 19812\n86226 100000\n22859 34315\n91502 100000\n35072 52654\n55879 83828\n776 1164\n48251 72450\n83206 100000\n20819 31242\n39090 58667\n45715 68638\n21852 32819\n8619 12906\n64473 96725\n96498 100000\n73056 100000\n93277 100000\n85398 100000\n17139 25696\n31095 46697\n1380 2058\n99652 100000\n90278 100000\n97533 100000\n38131 57228\n83972 100000\n71780 100000\n89009 100000\n25935 38896\n81995 100000\n55725 83602\n11652 17441\n96993 100000\n83304 100000\n49887 74893\n4745 7135\n96716 100000\n53414 80145\n71315 100000\n39310 58996\n96008 100000\n18256 27390\n22609 33952\n20196 30302\n24856 37318\n17152 25718\n82020 100000\n36462 54717\n57338 86011\n99033 100000\n15835 23704\n89523 100000\n32675 49057\n71451 100000\n68160 100000\n5214 7832\n70588 100000\n863 1299\n80524 100000\n718 1082\n92965 100000\n3069 4614\n96229 100000\n96128 100000\n23708 35586\n87702 100000\n2643 3971\n90805 100000\n31145 46770\n32098 48193\n82171 100000\n62170 93268\n69516 100000\n95560 100000\n40840 61307\n71672 100000\n67363 100000\n28856 43323\n19808 29726\n71903 100000\n2968 4467\n77759 100000\n91600 100000\n9594 14353\n70358 100000\n82055 100000\n22310 33508\n76338 100000\n14172 21219\n21843 32806\n85721 100000\n42045 63141\n51150 76759\n70953 100000\n20483 30748\n40457 60712\n15956 23886\n92179 100000\n8739 13087\n7300 10964\n92717 100000\n72846 100000\n94583 100000\n40065 60128\n19011 28523\n73292 100000\n56848 85286\n51548 77354\n55184 82789\n62381 93586\n22920 34410\n98551 100000\n2601 3904\n84986 100000\n73693 100000\n66820 100000\n70996 100000\n62826 94253\n8201 12306\n35627 53485\n18580 27885\n46797 70282\n61704 92561\n51184 76809\n44532 66875\n65667 98504\n38180 57298\n88955 100000\n63596 95393\n33806 50760\n46830 70339\n64502 96764\n60646 90986\n85733 100000\n99693 100000\n17968 26958\n3068 4612\n81685 100000\n12067 18076\n31244 46910\n5937 8921\n36359 54565\n44517 66852\n92395 100000\n15635 23412\n84404 100000\n89333 100000\n97179 100000\n4768 7170\n15067 22555\n32392 48633\n71301 100000\n13513 20239\n4196 6317\n79603 100000\n36525 54816\n29878 44847\n67715 100000\n64938 97409\n71056 100000\n89481 100000\n38974 58493\n37969 56989\n8017 12027\n6559 9849\n80182 100000\n72905 100000\n8234 12350\n33359 50076\n89702 100000\n56999 85519\n8463 12684\n61696 92548\n81780 100000\n87632 100000\n64720 97083\n89752 100000\n93088 100000\n58343 87552\n10181 15222\n12726 19065\n56238 84372\n66432 99651\n480 726\n40169 60280\n12848 19250\n25838 38755\n80443 100000\n23427 35166\n52163 78283\n38289 57454\n56835 85266\n68859 100000\n14055 21036\n70308 100000\n60640 90978\n49199 73886\n88951 100000\n76239 100000\n8434 12639\n87382 100000\n45473 68279\n93487 100000\n99649 100000\n57439 86162\n24878 37351\n57264 85901\n39147 58753\n85269 100000\n65624 98442\n65055 97581\n5706 8585\n74433 100000\n29133 43741\n38940 58439\n15781 23632\n5684 8553\n9264 13867\n50435 75692\n97901 100000\n49749 74685\n29113 43710\n97469 100000\n90678 100000\n89243 100000\n58410 87655\n38992 58522\n77004 100000\n93138 100000\n28038 42094\n16371 24512\n39660 59523\n67371 100000\n6861 10305\n86859 100000\n19847 29782\n8611 12897\n31404 47151\n44056 66162\n6701 10060\n97242 100000\n82398 100000\n12859 19268\n73016 100000\n57265 85903\n88569 100000\n89180 100000\n78664 100000\n95733 100000\n83592 100000\n99611 100000\n6658 9999\n10284 15375\n54015 81056\n62898 94358\n47978 72054\n16516 24737\n4119 6205\n26476 39723\n30993 46542\n7517 11293\n41317 62038\n79620 100000\n68189 100000\n83535 100000\n97521 100000\n63019 94533\n75722 100000\n14340 21466\n94694 100000\n1498 2243\n23233 34882\n5861 8814\n73872 100000\n848 1278\n53552 80356\n28066 42133\n14111 21123\n87888 100000\n27837 41781\n42844 64359\n32928 49434\n67540 100000\n80068 100000\n12747 19095\n13713 20522\n7579 11382\n79940 100000\n27932 41930\n44224 66418\n96453 100000\n94257 100000\n84846 100000\n47691 71630\n56651 85001\n71455 100000\n88044 100000\n53451 80199\n55354 83037\n21716 32604\n75185 100000\n36896 55363\n38765 58178\n52352 78555\n75059 100000\n46293 69513\n97677 100000\n81870 100000\n48388 72665\n7689 11552\n27824 41763\n8280 12418\n73960 100000\n67319 100000\n6613 9927\n72181 100000\n86187 100000\n16181 24228\n63958 95935\n31816 47767\n53821 80761\n87030 100000\n70147 100000\n92302 100000\n8836 13229\n32279 48467\n12004 17987\n2758 4144\n62769 94168\n2717 4082\n76781 100000\n77197 100000\n79261 100000\n33810 50766\n49912 74925\n48448 72757\n9053 13547\n57028 85568\n36422 54659\n56792 85198\n89276 100000\n29798 44719\n72347 100000\n95143 100000\n346 526\n61798 92699\n3807 5730\n58719 88132\n66957 100000\n97992 100000\n93638 100000\n34659 52035\n72747 100000\n28669 43043\n66903 100000\n76251 100000\n69624 100000\n87654 100000\n67195 100000\n64991 97488\n27471 41225\n49333 74072\n90829 100000\n89507 100000\n51503 77284\n79066 100000\n28746 43152\n34757 52184\n30323 45524\n18772 28169\n58995 88534\n99384 100000\n63175 94766\n3296 4955\n94887 100000\n92446 100000\n90872 100000\n96791 100000\n93106 100000\n46427 69730\n30437 45699\n26802 40214\n50046 75112\n48920 73469\n22073 33154\n25483 38236\n84767 100000\n83298 100000\n32831 49291\n91061 100000\n43267 64993\n87492 100000\n6683 10036\n14966 22404\n56953 85446\n51067 76640\n84416 100000\n2684 4028\n25013 37557\n35709 53594\n44466 66775\n35252 52923\n98339 100000\n31934 47945\n30173 45295\n41246 61923\n54383 81594\n29146 43762\n58332 87538\n30513 45817\n47943 72003\n16827 25216\n16512 24731\n62768 94167\n54244 81392\n86171 100000\n7767 11666\n91968 100000\n86515 100000\n97239 100000\n17648 26477\n79792 100000\n83344 100000\n20639 30981\n31272 46950\n12581 18850\n92533 100000\n5795 8712\n25538 38314\n65715 98579\n99548 100000\n73837 100000\n12478 18695\n75658 100000\n12786 19160\n5650 8500\n30602 45952\n65175 97761\n1421 2124\n97197 100000\n78920 100000\n89831 100000\n32345 48565\n88205 100000\n40662 61028\n54250 81402\n72329 100000\n78412 100000\n22420 33662\n27438 41172\n63242 94862\n82076 100000\n63934 95895\n60686 91043\n8104 12152\n94851 100000\n93430 100000\n8934 13374\n19902 29861\n32492 48786\n79207 100000\n6562 9855\n31571 47397\n95266 100000\n21506 32277\n25886 38821\n28078 42153\n3213 4834\n49457 74256\n38156 57262\n30541 45860\n8413 12609\n84101 100000\n88794 100000\n82241 100000\n89647 100000\n32709 49103\n59403 89143\n27384 41092\n39486 59266\n8436 12642\n90294 100000\n3899 5872\n66990 100000\n33764 50693\n31576 47404\n45419 68192\n27421 41144\n25582 38381\n56645 84992\n92398 100000\n66780 100000\n5613 8450\n46616 70019\n31989 48028\n3016 4535\n98315 100000\n91451 100000\n84418 100000\n42420 63720\n33823 50786\n67347 100000\n23945 35941\n479 724\n71393 100000\n34809 52263\n13587 20345\n81962 100000\n51377 77094\n80896 100000\n22113 33217\n61184 91781\n75366 100000\n90368 100000\n2344 3520\n96705 100000\n75853 100000\n76649 100000\n51906 77896\n99504 100000\n35876 53849\n43723 65665\n14594 21846\n99366 100000\n14097 21102\n6429 9657\n30692 46090\n62911 94374\n32742 49157\n29637 44486\n75581 100000\n1573 2354\n88245 100000\n28060 42124\n45042 67641\n20078 30122\n84324 100000\n45212 67887\n34693 52085\n41516 62339\n20979 31480\n49944 74966\n89988 100000\n42777 64261\n89996 100000\n96549 100000\n12293 18404\n53690 80563\n1387 2072\n94149 100000\n14126 21148\n18641 27976\n94916 100000\n99485 100000\n11228 16806\n90156 100000\n95271 100000\n77595 100000\n77502 100000\n12767 19127\n6317 9487\n5390 8103\n15339 22970\n73069 100000\n33510 50307\n61868 92807\n65568 98352\n36684 55045\n96247 100000\n53111 79699\n96103 100000\n80928 100000\n41733 62673\n65791 98690\n69012 100000\n57958 86951\n39634 59484\n60903 91364\n8206 12313\n13318 19955\n21422 32153\n27253 40894\n31068 46656\n8507 12747\n20505 30782\n62337 93518\n34570 51898\n18438 27668\n56884 85335\n48641 73051\n93988 100000\n348 529\n6609 9920\n45638 68522\n42272 63480\n71515 100000\n37252 55903\n54154 81259\n55029 82539\n75579 100000\n24290 36456\n80988 100000\n22787 34207\n10629 15900\n6644 9977\n95485 100000\n20512 30794\n74487 100000\n12268 18370\n14358 21492\n83396 100000\n62198 93310\n83858 100000\n78784 100000\n11301 16918\n18841 28272\n3971 5988\n28186 42318\n93344 100000\n60397 90621\n62094 93150\n22342 33551\n38918 58405\n59627 89473\n73921 100000\n5927 8908\n99686 100000\n30887 46380\n11447 17133\n64893 97338\n20696 31063\n44684 67091\n49386 74145\n2605 3910\n49949 74972\n35842 53798\n75793 100000\n73164 100000\n68929 100000\n65339 98014\n54604 81910\n26474 39719\n73337 100000\n50718 76111\n38301 57471\n17156 25726\n15149 22678\n29204 43850\n30327 45530\n43793 65767\n51473 77240\n10481 15671\n3516 5295\n26768 40161\n1801 2704\n18670 28021\n73172 100000\n69060 100000\n52597 78926\n66665 99985\n78996 100000\n99308 100000\n63376 95061\n98610 100000\n60550 90842\n54601 81906\n47010 70600\n6189 9300\n24367 36581\n77790 100000\n42995 64587\n13760 20593\n406 616\n60525 90808\n57650 86486\n51205 76842\n82651 100000\n92545 100000\n99459 100000\n21186 31795\n20734 31115\n18937 28412\n43577 65447\n87059 100000\n20311 30480\n61979 92970\n36696 55061\n53601 80434\n10155 15186\n68946 100000\n54815 82221\n26086 39126\n96464 100000\n53256 79905\n42227 63414\n46063 69160\n61684 92530\n32039 48105\n3386 5096\n81629 100000\n29315 44007\n70928 100000\n8931 13371\n20792 31203\n66564 99843\n30255 45424\n25555 38337\n63890 95826\n57692 86546\n63833 95740\n49183 73865\n64466 96714\n2497 3745\n77154 100000\n70915 100000\n76165 100000\n12128 18166\n5525 8311\n51843 77801\n74036 100000\n34994 52535\n57635 86463\n74612 100000\n35817 53759\n5595 8421\n72740 100000\n75141 100000\n72367 100000\n17926 26904\n90107 100000\n70057 100000\n37667 56530\n86779 100000\n27871 41834\n64565 96851\n26456 39695\n21736 32637\n87427 100000\n81660 100000\n42776 64260\n83675 100000\n28723 43116\n51 76\n71599 100000\n55258 82895\n46964 70528\n49030 73633\n76621 100000\n44455 66759\n97954 100000\n69417 100000\n17409 26113\n10245 15316\n65883 98832\n55510 83280\n76544 100000\n44 66\n70261 100000\n77415 100000\n81733 100000\n99620 100000\n48051 72167\n95122 100000\n17878 26825\n49108 73750\n38446 57688\n13340 19990\n50886 76367\n30480 45767\n26677 40022\n55236 82864\n37222 55860\n1938 2906\n48576 72952\n4891 7352\n70106 100000\n33066 49640\n75272 100000\n59219 88861\n84614 100000\n14132 21157\n8735 13080\n10111 15120\n93209 100000\n43663 65569\n60056 90116\n378 574\n65827 98742\n81291 100000\n1289 1910\n59839 89792\n34455 51730\n6964 10453\n91473 100000\n88811 100000\n95007 100000\n50770 76196\n54160 81267\n44864 67369\n45763 68711\n46652 70071\n50698 76077\n31869 47849\n35602 53447\n79491 100000\n31181 46820\n74452 100000\n28602 42943\n98044 100000\n9036 13524\n17381 26070\n59299 88986\n63415 95117\n7936 11907\n19611 29434\n63659 95484\n7756 11649\n94443 100000\n13748 20574\n8700 13030\n26809 40224\n19595 29410\n50170 75300\n6893 10351\n73745 100000\n5693 8567\n57797 86704\n96961 100000\n33547 50365\n50427 75680\n90448 100000\n39529 59327\n85323 100000\n2143 3209\n13591 20351\n72249 100000\n75182 100000\n15399 23062\n96212 100000\n86406 100000\n80899 100000\n83877 100000\n82713 100000\n75804 100000\n43905 65937\n17183 25771\n10993 16457\n36176 54289\n67186 100000\n4383 6603\n31327 47033\n43521 65363\n17306 25959\n60733 91114\n16755 25105\n15310 22923\n33513 50312\n83127 100000\n63158 94745\n8674 12992\n59664 89531\n27302 40968\n29422 44165\n3664 5516\n11664 17461\n17330 25997\n2639 3965\n56448 84696\n89375 100000\n44949 67497\n88301 100000\n52060 78131\n86575 100000\n78246 100000\n62627 93958\n67163 100000\n99136 100000\n6062 9109\n96334 100000\n17169 25747\n27378 41084\n6557 9846\n5175 7771\n50032 75093\n8955 13403\n78894 100000\n44307 66543\n78426 100000\n91237 100000\n10964 16411\n14023 20993\n51844 77802\n63406 95102\n49353 74100\n39744 59654\n55837 83764\n76177 100000\n52636 78987\n24863 37328\n2513 3770\n31575 47403\n67549 100000\n26880 40332\n14659 21941\n41108 61713\n342 521\n2079 3115\n83264 100000\n61225 91842\n31985 48022\n79805 100000\n67194 100000\n21593 32412\n964 1445\n9644 14422\n92952 100000\n95543 100000\n44398 66680\n45914 68941\n23935 35927\n5492 8264\n85102 100000\n21277 31930\n89372 100000\n30039 45089\n83199 100000\n63440 95153\n56984 85493\n31515 47314\n20128 30197\n86374 100000\n63734 95594\n25910 38854\n67495 100000\n46542 69907\n6632 9955\n45809 68777\n39101 58682\n33559 50382\n2704 4059\n56965 85463\n61043 91566\n98639 100000\n37030 55571\n94514 100000\n29984 45005\n62787 94193\n56096 84156\n68717 100000\n17317 25977\n71246 100000\n25898 38838\n62858 94304\n57085 85650\n62239 93370\n31335 47047\n57485 86236\n64155 96233\n64360 96542\n95354 100000\n74797 100000\n57243 85874\n28044 42103\n564 852\n35462 53233\n948 1425\n70616 100000\n10750 16088\n22338 33546\n48832 73333\n54708 82061\n68764 100000\n80011 100000\n39510 59300\n46953 70515\n67584 100000\n31407 47157\n59864 89825\n51831 77787\n55741 83626\n40454 60709\n63744 95609\n50823 76277\n99766 100000\n67682 100000\n18052 27081\n53313 79989\n24167 36281\n27255 40896\n68757 100000\n52765 79192\n25179 37800\n97345 100000\n14186 21239\n57447 86174\n2422 3635\n87212 100000\n40108 60192\n41718 62651\n6344 9529\n1103 1642\n37400 56127\n44917 67449\n29654 44512\n45876 68880\n3696 5565\n41519 62344\n57556 86343\n95276 100000\n81894 100000\n7796 11707\n26339 39519\n30040 45090\n90326 100000\n11610 17375\n86452 100000\n55345 83025\n25707 38559\n43503 65338\n22414 33654\n70151 100000\n72997 100000\n31273 46952\n94783 100000\n12427 18618\n83610 100000\n83692 100000\n80035 100000\n63486 95223\n2668 4005\n99359 100000\n3515 5294\n83612 100000\n74455 100000\n19146 28729\n79078 100000\n45263 67963\n14084 21081\n98966 100000\n34281 51470\n44416 66706\n2772 4163\n30502 45801\n22099 33196\n1835 2757\n50915 76413\n67815 100000\n16418 24583\n19644 29482\n82785 100000\n50160 75287\n37061 55616\n72882 100000\n91724 100000\n21547 32335\n53739 80639\n94459 100000\n37442 56191\n25398 38115\n77370 100000\n11136 16669\n78638 100000\n59534 89336\n58467 87745\n41678 62585\n59259 88924\n36867 55317\n34469 51749\n44256 66467\n44282 66508\n40822 61274\n30055 45114\n38315 57492\n69536 100000\n89156 100000\n19735 29613\n44643 67032\n39869 59840\n51119 76716\n33290 49977\n73227 100000\n39034 58584\n82029 100000\n65753 98633\n47779 71755\n88877 100000\n85873 100000\n20456 30707\n78380 100000\n71952 100000\n97189 100000\n93700 100000\n62540 93833\n93513 100000\n12449 18649\n98685 100000\n3810 5735\n85539 100000\n50000 75050\n26280 39429\n27663 41516\n63974 95962\n58758 88186\n62313 93482\n85210 100000\n55729 83607\n62773 94172\n73244 100000\n84051 100000\n50332 75546\n34442 51711\n80264 100000\n63578 95365\n4069 6135\n69865 100000\n66357 99539\n76501 100000\n90858 100000\n33460 50226\n86848 100000\n22368 33586\n47713 71661\n5357 8049\n48108 72245\n75271 100000\n65514 98272\n59263 88930\n19152 28738\n65740 98615\n16071 24066\n21263 31907\n40577 60897\n40758 61179\n64499 96761\n49198 73885\n4068 6133\n75035 100000\n31837 47799\n52229 78375\n15124 22638\n43012 64614\n82063 100000\n24390 36616\n63805 95700\n84810 100000\n14331 21452\n48589 72975\n89442 100000\n18526 27802\n24633 36986\n70989 100000\n31315 47016\n27990 42018\n695 1051\n95289 100000\n30127 45225\n27570 41380\n84724 100000\n96839 100000\n86873 100000\n32329 48541\n18415 27635\n78656 100000\n70146 100000\n61526 92300\n41126 61744\n82963 100000\n75005 100000\n75866 100000\n79991 100000\n71076 100000\n91530 100000\n93033 100000\n60535 90820\n89546 100000\n30651 46027\n9124 13656\n74614 100000\n69680 100000\n18397 27608\n7662 11506\n92969 100000\n68681 100000\n8388 12571\n50065 75141\n94290 100000\n83119 100000\n4295 6463\n86596 100000\n57675 86521\n25265 37930\n86485 100000\n58011 87026\n9543 14283\n75876 100000\n38135 57234\n83686 100000\n79114 100000\n19275 28916\n46990 70567\n20516 30798\n38647 57992\n43607 65489\n38864 58324\n53344 80036\n96714 100000\n20135 30209\n94203 100000\n4289 6453\n26766 40159\n5353 8042\n49595 74462\n39682 59556\n29153 43771\n78763 100000\n73771 100000\n67075 100000\n36605 54934\n40496 60773\n61370 92060\n49706 74623\n58165 87275\n32532 48838\n45768 68717\n27004 40512\n56898 85358\n51434 77182\n4335 6527\n92114 100000\n54212 81345\n96654 100000\n99707 100000\n58751 88176\n82175 100000\n68259 100000\n36704 55073\n65243 97861\n42344 63600\n85804 100000\n26291 39447\n15046 22524\n75233 100000\n26159 39240\n63342 95010\n72053 100000\n79280 100000\n81779 100000\n35454 53223\n70551 100000\n48209 72390\n736 1108\n64496 96758\n63949 95920\n20112 30172\n64450 96687\n41524 62352\n85163 100000\n74872 100000\n88707 100000\n64150 96226\n32931 49438\n32075 48159\n58151 87252\n12313 18439\n18191 27293\n87998 100000\n4624 6954\n75671 100000\n40058 60119\n7353 11043\n92476 100000\n61237 91862\n19892 29848\n98184 100000\n92704 100000\n16265 24355\n17621 26433\n45081 67697\n58383 87615\n50850 76315\n48271 72482\n15482 23195\n84831 100000\n60549 90840\n90846 100000\n34087 51197\n29813 44741\n71168 100000\n11266 16867\n8986 13449\n89037 100000\n37957 56972\n24565 36887\n29135 43743\n12844 19244\n30931 46446\n57064 85621\n75993 100000\n25807 38709\n98883 100000\n48957 73524\n32095 48189\n88412 100000\n30294 45482\n47928 71981\n73210 100000\n14589 21838\n40511 60794\n34835 52304\n29768 44675\n96442 100000\n46572 69954\n24611 36956\n40857 61333\n85708 100000\n23327 35024\n61885 92830\n44598 66969\n21049 31589\n24805 37243\n82854 100000\n97549 100000\n17811 26725\n63390 95082\n58193 87317\n44109 66244\n21533 32316\n91768 100000\n12406 18583\n78416 100000\n89811 100000\n6155 9252\n21855 32825\n23670 35526\n73554 100000\n2881 4328\n77212 100000\n61499 92260\n51666 77542\n72363 100000\n16712 25039\n49206 73896\n5006 7522\n54304 81484\n11441 17124\n83113 100000\n35430 53185\n56321 84498\n25642 38468\n39989 60012\n58515 87816\n41753 62705\n74451 100000\n45006 67590\n71743 100000\n35984 54006\n73639 100000\n77519 100000\n97987 100000\n28000 42032\n23690 35557\n8382 12563\n14845 22220\n16159 24196\n67978 100000\n77236 100000\n73648 100000\n5840 8780\n85910 100000\n86236 100000\n15367 23014\n87469 100000\n73474 100000\n74467 100000\n46139 69272\n72013 100000\n86965 100000\n77737 100000\n88250 100000\n64739 97109\n31646 47506\n98025 100000\n17998 27001\n11538 17270\n15341 22973\n58872 88359\n78588 100000\n64913 97369\n16307 24420\n1580 2366\n17756 26645\n62194 93304\n32660 49035\n88964 100000\n4951 7443\n17493 26238\n29955 44961\n43383 65166\n64328 96496\n21982 33018\n14169 21214\n22142 33260\n1902 2851\n89685 100000\n37775 56694\n56182 84292\n50647 76007\n59465 89234\n73555 100000\n19585 29396\n29614 44452\n65280 97921\n30464 45742\n48727 73183\n10762 16107\n13731 20547\n63576 95361\n71118 100000\n99850 100000\n52324 78513\n1239 1841\n34502 51796\n30198 45335\n62401 93616\n40085 60159\n65176 97763\n29477 44250\n14817 22182\n51477 77246\n72516 100000\n98641 100000\n11943 17897\n72213 100000\n17824 26746\n74434 100000\n51815 77765\n78265 100000\n34419 51678\n93725 100000\n34406 51659\n60087 90162\n59071 88642\n9517 14248\n98929 100000\n53779 80701\n17718 26585\n39355 59067\n95834 100000\n71833 100000\n4958 7453\n73890 100000\n1375 2050\n41860 62864\n74409 100000\n16783 25144\n69054 100000\n33171 49795\n29125 43730\n28468 42740\n86506 100000\n30861 46343\n79745 100000\n24096 36179\n59026 88577\n6306 9472\n83431 100000\n51337 77035\n555 836\n27400 41114\n5263 7910\n262 394\n78463 100000\n13406 20085\n89732 100000\n76170 100000\n21391 32104\n84553 100000\n31739 47643\n91474 100000\n31227 46887\n78725 100000\n7681 11537\n60938 91416\n89557 100000\n33647 50512\n39352 59061\n66573 99854\n50365 75594\n69655 100000\n95312 100000\n85528 100000\n32487 48779\n62299 93461\n55147 82731\n76140 100000\n47245 70961\n51013 76555\n79185 100000\n91964 100000\n17267 25900\n83385 100000\n17445 26170\n51750 77663\n48897 73431\n80410 100000\n61500 92262\n3396 5112\n14494 21693\n30525 45837\n74905 100000\n44647 67039\n66192 99301\n4140 6235\n11739 17576\n49560 74415\n13476 20184\n45024 67614\n42164 63320\n6214 9333\n786 1180\n28173 42296\n60746 91132\n88133 100000\n87902 100000\n56503 84778\n7774 11675\n61861 92797\n96797 100000\n18963 28451\n74075 100000\n38730 58124\n99174 100000\n21362 32060\n67357 100000\n62542 93835\n21672 32540\n90749 100000\n27687 41553\n24402 36634\n88644 100000\n83240 100000\n9178 13740\n59002 88544\n72131 100000\n10590 15839\n24803 37240\n62469 93720\n81012 100000\n99778 100000\n23178 34801\n73583 100000\n36430 54671\n76551 100000\n56717 85097\n32956 49473\n63247 94869\n76985 100000\n47096 70735\n51763 77680\n67941 100000\n28925 43429\n14984 22433\n11671 17472\n37472 56238\n43974 66038\n76520 100000\n91796 100000\n47351 71116\n96543 100000\n47108 70751\n87614 100000\n409 621\n77228 100000\n23626 35468\n22330 33534\n11165 16713\n31951 47969\n3421 5152\n4163 6268\n86313 100000\n82194 100000\n16103 24114\n95958 100000\n54469 81718\n80998 100000\n93182 100000\n98907 100000\n91608 100000\n82852 100000\n76583 100000\n46912 70454\n12924 19365\n5493 8265\n47697 71638\n45501 68320\n13970 20912\n935 1406\n66420 99634\n19228 28851\n6787 10192\n57458 86193\n52932 79437\n89591 100000\n14165 21206\n8016 12025\n47942 72001\n11054 16551\n97453 100000\n19431 29159\n26684 40034\n49186 73868\n51964 77985\n81984 100000\n53659 80518\n34219 51380\n30103 45185\n38758 58168\n5597 8424\n31532 47340\n25204 37839\n5200 7809\n82951 100000\n7945 11920\n84607 100000\n4643 6983\n24347 36547\n73721 100000\n81389 100000\n65285 97929\n24208 36341\n92834 100000\n16432 24606\n49754 74691\n73772 100000\n13041 19543\n14036 21009\n74930 100000\n4798 7210\n71416 100000\n15390 23049\n39990 60013\n33975 51023\n87542 100000\n28547 42860\n73728 100000\n89787 100000\n78468 100000\n70564 100000\n23285 34956\n83056 100000\n24358 36565\n60447 90691\n91347 100000\n92057 100000\n71512 100000\n55385 83083\n53943 80945\n24455 36715\n67 101\n15512 23235\n7540 11328\n93131 100000\n98536 100000\n27490 41256\n51474 77241\n33369 50090\n78525 100000\n55686 83543\n13681 20475\n30534 45850\n99940 100000\n50088 75175\n72623 100000\n85749 100000\n68202 100000\n20430 30663\n49378 74134\n52139 78248\n41338 62069\n63923 95877\n74667 100000\n43485 65311\n74987 100000\n4399 6623\n44209 66396\n4572 6879\n59775 89702\n53780 80703\n75713 100000\n66580 99864\n40424 60667\n9614 14379\n61757 92638\n23904 35878\n29130 43738\n1478 2214\n26204 39313\n90008 100000\n72632 100000\n16014 23976\n14518 21729\n72349 100000\n59628 89474\n13786 20627\n67188 100000\n22405 33639\n88692 100000\n5529 8318\n45807 68775\n3555 5350\n87849 100000\n66853 100000\n31459 47238\n99671 100000\n36188 54306\n72341 100000\n52267 78429\n82219 100000\n30219 45369\n2224 3336\n41283 61985\n45585 68442\n90318 100000\n99016 100000\n1397 2089\n25151 37758\n50640 75995\n97386 100000\n12781 19151\n95682 100000\n15899 23803\n97276 100000\n62987 94485\n97274 100000\n1998 2993\n99792 100000\n21965 32995\n44066 66179\n23264 34927\n62499 93766\n33499 50288\n93263 100000\n12078 18091\n13641 20418\n47201 70895\n6895 10354\n2972 4473\n53112 79700\n23877 35836\n36004 54037\n46093 69205\n68404 100000\n43041 64658\n88494 100000\n94236 100000\n24727 37124\n47339 71098\n59137 88738\n26817 40236\n72263 100000\n70313 100000\n46615 70017\n95051 100000\n27126 40704\n8429 12631\n97793 100000\n62082 93133\n78631 100000\n77032 100000\n95052 100000\n91242 100000\n67443 100000\n72360 100000\n32357 48582\n95701 100000\n77195 100000\n8908 13339\n593 897\n6058 9101\n36533 54825\n3957 5964\n78473 100000\n15245 22824\n48234 72425\n30613 45967\n75694 100000\n96970 100000\n14766 22102\n7546 11337\n46699 70141\n49040 73647\n62947 94427\n76776 100000\n71432 100000\n21255 31894\n32699 49088\n33150 49764\n89763 100000\n19257 28889\n48710 73158\n10772 16124\n56639 84984\n39574 59397\n58799 88244\n63864 95787\n57591 86393\n18376 27574\n38805 58243\n89169 100000\n78009 100000\n766 1152\n6816 10232\n22401 33634\n18487 27742\n2176 3261\n27859 41815\n44063 66174\n13973 20918\n57887 86844\n26300 39460\n65023 97532\n64560 96843\n25983 38970\n76928 100000\n46842 70354\n45328 68055\n49565 74421\n9222 13806\n72409 100000\n37341 56035\n55746 83634\n46423 69724\n95038 100000\n31760 47678\n87182 100000\n23876 35834\n29518 44307\n3029 4554\n57461 86198\n84393 100000\n58712 88121\n38302 57472\n78870 100000\n95330 100000\n66275 99416\n16589 24859\n70355 100000\n22601 33940\n97956 100000\n11323 16951\n73170 100000\n77024 100000\n25552 38333\n59874 89840\n55932 83908\n96840 100000\n98202 100000\n65342 98018\n72348 100000\n29808 44734\n36929 55414\n87930 100000\n90770 100000\n13088 19610\n11727 17560\n2173 3257\n35647 53508\n50280 75465\n49630 74514\n33938 50966\n93439 100000\n91146 100000\n35513 53308\n56648 84996\n52494 78775\n82287 100000\n19518 29295\n85267 100000\n10100 15104\n64972 97459\n18015 27024\n86673 100000\n90655 100000\n41214 61878\n47824 71826\n70405 100000\n70663 100000\n94397 100000\n38939 58437\n2482 3723\n61850 92781\n64217 96323\n62678 94034\n87798 100000\n58914 88419\n29882 44851\n30389 45620\n66490 99736\n17374 26062\n82198 100000\n74242 100000\n57278 85923\n93482 100000\n99507 100000\n64856 97283\n99077 100000\n54618 81930\n21094 31656\n14328 21446\n34995 52537\n22445 33703\n33791 50735\n58471 87753\n15249 22829\n35803 53740\n60515 90794\n79475 100000\n5975 8978\n98012 100000\n51058 76625\n99721 100000\n63325 94985\n24282 36442\n53975 80993\n70485 100000\n21043 31579\n14426 21591\n59439 89196\n85645 100000\n1142 1700\n87887 100000\n84586 100000\n54521 81792\n34655 52028\n86931 100000\n37072 55631\n25484 38237\n68515 100000\n74514 100000\n44189 66371\n49797 74759\n86391 100000\n67760 100000\n10236 15305\n40614 60954\n74627 100000\n13209 19792\n93001 100000\n74798 100000\n70266 100000\n79384 100000\n27434 41166\n42637 64042\n64652 96979\n21827 32781\n69894 100000\n38100 57179\n41385 62144\n55655 83500\n27403 41118\n44569 66926\n82190 100000\n38898 58376\n68926 100000\n48661 73083\n12788 19163\n21640 32491\n21823 32775\n82710 100000\n64894 97339\n97876 100000\n58942 88454\n37925 56921\n46295 69516\n47780 71756\n99126 100000\n57972 86970\n91557 100000\n82968 100000\n12555 18815\n44475 66788\n20041 30064\n47180 70863\n1130 1682\n81157 100000\n17784 26683\n96758 100000\n18315 27480\n59389 89121\n90420 100000\n17211 25813\n61719 92582\n48351 72604\n51347 77050\n40367 60584\n7596 11405\n57267 85906\n31350 47071\n83651 100000\n44304 66539\n39104 58687\n72362 100000\n21430 32164\n12179 18239\n8517 12759\n18171 27264\n56187 84299\n93406 100000\n8418 12617\n61105 91663\n84457 100000\n29444 44198\n49133 73788\n21262 31905\n77810 100000\n74807 100000\n84544 100000\n22979 34498\n75296 100000\n13070 19587\n80566 100000\n13989 20940\n72657 100000\n43321 65076\n82309 100000\n60519 90799\n69995 100000\n30485 45774\n83565 100000\n52745 79156\n54202 81329\n43160 64837\n56447 84695\n89742 100000\n2209 3313\n51649 77515\n98222 100000\n86855 100000\n99784 100000\n61901 92855\n67475 100000\n28061 42126\n19462 29207\n11056 16553\n88812 100000\n13652 20434\n86682 100000\n85032 100000\n70521 100000\n98666 100000\n13145 19692\n57377 86071\n12979 19449\n85329 100000\n17999 27003\n96774 100000\n23704 35579\n93463 100000\n55302 82960\n70482 100000\n41988 63055\n90942 100000\n33502 50293\n99343 100000\n76047 100000\n47810 71804\n21721 32612\n20552 30853\n73426 100000\n18511 27779\n58768 88201\n61135 91707\n44090 66213\n84570 100000\n82002 100000\n91243 100000\n31183 46823\n33138 49747\n24380 36602\n79045 100000\n22803 34231\n85774 100000\n49327 74065\n9772 14616\n85867 100000\n79307 100000\n18790 28199\n48642 73053\n37930 56929\n31376 47107\n96278 100000\n54730 82094\n19301 28956\n49535 74376\n5269 7921\n45614 68488\n58159 87265\n34217 51376\n51908 77899\n24155 36266\n83588 100000\n58559 87883\n67203 100000\n91839 100000\n90084 100000\n7238 10873\n21357 32052\n28398 42637\n70189 100000\n62648 93988\n67216 100000\n14788 22136\n54892 82333\n88522 100000\n95802 100000\n98011 100000\n79687 100000\n84130 100000\n42797 64292\n17323 25986\n22422 33665\n11321 16948\n46303 69529\n61275 91919\n17295 25945\n55388 83088\n5854 8804\n48170 72336\n75617 100000\n36724 55102\n24091 36169\n9034 13520\n78859 100000\n9660 14445\n33260 49932\n34004 51070\n1886 2829\n32810 49259\n45355 68099\n95329 100000\n68464 100000\n40106 60188\n51350 77054\n99071 100000\n26723 40093\n58601 87947\n54240 81386\n59222 88867\n91295 100000\n72692 100000\n40731 61138\n67209 100000\n56676 85036\n73324 100000\n96269 100000\n91458 100000\n6025 9047\n72769 100000\n82902 100000\n73538 100000\n99575 100000\n93444 100000\n45316 68038\n21310 31983\n16263 24352\n29852 44803\n2280 3421\n521 784\n24860 37325\n22325 33528\n44773 67224\n15213 22778\n58282 87456\n94009 100000\n98720 100000\n53443 80188\n29290 43972\n36674 55029\n74821 100000\n29165 43790\n19396 29101\n69404 100000\n94695 100000\n69972 100000\n83147 100000\n46570 69951\n58968 88491\n7011 10524\n17880 26829\n90956 100000\n54169 81279\n17817 26733\n88081 100000\n12140 18182\n68782 100000\n66419 99633\n65864 98805\n16106 24120\n1730 2598\n20932 31413\n89167 100000\n83399 100000\n95871 100000\n75570 100000\n28831 43282\n33969 51013\n60132 90230\n92209 100000\n34576 51908\n92629 100000\n46439 69750\n39779 59706\n17081 25605\n73486 100000\n54049 81104\n30417 45668\n70330 100000\n92253 100000\n53046 79600\n6740 10120\n34817 52276\n58867 88352\n99720 100000\n22293 33486\n60732 91113\n82522 100000\n16846 25245\n58298 87482\n16683 24998\n74019 100000\n64445 96679\n68118 100000\n60247 90396\n41564 62415\n74226 100000\n31549 47365\n8466 12687\n46006 69075\n34279 51468\n94853 100000\n29669 44531\n65071 97604\n55883 83833\n46137 69268\n53474 80240\n25931 38889\n62872 94322\n5402 8120\n49033 73637\n92020 100000\n23776 35686\n81211 100000\n68127 100000\n25041 37596\n33526 50330\n22244 33415\n90433 100000\n69295 100000\n2808 4217\n29164 43788\n92660 100000\n82804 100000\n14972 22411\n58366 87589\n81713 100000\n75041 100000\n58651 88029\n54468 81717\n10659 15945\n20593 30917\n94053 100000\n46559 69934\n16246 24325\n72572 100000\n50315 75519\n73051 100000\n43272 65002\n48306 72538\n17439 26161\n51934 77935\n21478 32236\n76129 100000\n3776 5681\n37647 56505\n99422 100000\n71759 100000\n93129 100000\n13268 19883\n5311 7983\n97343 100000\n84834 100000\n57298 85952\n92886 100000\n17393 26088\n42805 64304\n19402 29111\n25463 38206\n80371 100000\n38551 57851\n54078 81144\n41912 62943\n58091 87159\n58425 87678\n34115 51236\n59917 89907\n1887 2830\n72566 100000\n27695 41567\n99964 100000\n38159 57265\n4899 7364\n67823 100000\n80349 100000\n73140 100000\n11155 16697\n83833 100000\n43207 64905\n95998 100000\n40917 61423\n57180 85785\n12072 18084\n64752 97129\n58229 87376\n51275 76947\n69850 100000\n12222 18298\n37833 56783\n10031 14994\n52347 78549\n83676 100000\n37287 55958\n44543 66892\n66722 100000\n68122 100000\n89551 100000\n66620 99920\n96813 100000\n18606 27925\n6910 10377\n97149 100000\n47347 71110\n86758 100000\n73416 100000\n33196 49828\n65991 98994\n68 103\n52310 78491\n61451 92183\n9683 14479\n31038 46610\n52065 78138\n72920 100000\n25406 38127\n92450 100000\n39638 59489\n18686 28043\n59934 89936\n56499 84770\n25301 37979\n75688 100000\n78781 100000\n38098 57175\n23122 34717\n67929 100000\n74583 100000\n38981 58505\n55963 83957\n572 863\n14484 21676\n23894 35863\n84742 100000\n74940 100000\n54545 81826\n51778 77705\n16918 25357\n74571 100000\n73377 100000\n32713 49109\n13003 19484\n68386 100000\n67703 100000\n52004 78045\n77149 100000\n26950 40435\n40327 60520\n34530 51841\n43957 66013\n31341 47056\n64887 97329\n6106 9177\n85394 100000\n2741 4118\n50546 75856\n64304 96461\n90267 100000\n55761 83655\n92403 100000\n90867 100000\n68184 100000\n47722 71675\n74131 100000\n24617 36965\n78235 100000\n37094 55664\n42485 63818\n30521 45830\n19073 28617\n28003 42035\n81972 100000\n59665 89532\n95019 100000\n92224 100000\n67328 100000\n98719 100000\n89279 100000\n12950 19405\n2549 3825\n92890 100000\n44111 66248\n72944 100000\n24847 37305\n3355 5048\n86604 100000\n21918 32926\n63868 95794\n90918 100000\n6687 10040\n35787 53714\n21143 31728\n28979 43509\n20520 30805\n28743 43146\n82229 100000\n81837 100000\n74511 100000\n71319 100000\n13905 20807\n46707 70152\n91985 100000\n60367 90573\n20713 31083\n96240 100000\n32316 48523\n43119 64777\n76696 100000\n74613 100000\n50376 75609\n23865 35817\n31051 46631\n99824 100000\n4933 7412\n2524 3788\n31158 46789\n27422 41145\n37970 56991\n74674 100000\n40422 60663\n30287 45473\n20773 31174\n17092 25620\n54627 81943\n41166 61802\n16083 24085\n37841 56792\n58883 88376\n22890 34362\n93500 100000\n79613 100000\n62249 93385\n89111 100000\n14819 22184\n75551 100000\n10255 15333\n96978 100000\n31056 46638\n89538 100000\n45903 68923\n19731 29607\n69304 100000\n9290 13909\n44055 66161\n66277 99419\n43516 65356\n79681 100000\n82276 100000\n46222 69407\n60441 90683\n56235 84367\n77727 100000\n26580 39879\n10748 16085\n16789 25154\n22908 34394\n6606 9917\n82274 100000\n85137 100000\n52123 78224\n75353 100000\n42509 63853\n93046 100000\n37877 56849\n78223 100000\n31566 47390\n60449 90694\n17258 25887\n99410 100000\n62891 94347\n37460 56219\n6092 9155\n73585 100000\n85537 100000\n17525 26287\n94985 100000\n78657 100000\n62652 93995\n92832 100000\n74890 100000\n70955 100000\n19341 29016\n23760 35663\n18307 27469\n4876 7324\n52762 79188\n11594 17353\n55226 82850\n67827 100000\n82552 100000\n33527 50332\n37175 55783\n54790 82184\n76282 100000\n91334 100000\n53455 80207\n32353 48576\n8160 12237\n74042 100000\n35498 53285\n7606 11419\n64569 96855\n32025 48083\n11467 17163\n77746 100000\n52678 79053\n35337 53049\n99060 100000\n12830 19225\n6931 10408\n86228 100000\n47503 71346\n14591 21841\n7890 11846\n20380 30582\n69120 100000\n5931 8914\n85550 100000\n51164 76778\n68824 100000\n17329 25995\n12804 19188\n14159 21197\n16526 24756\n48081 72207\n42455 63772\n57988 86994\n17070 25590\n21156 31748\n98393 100000\n71543 100000\n64679 97020\n79412 100000\n52538 78840\n97048 100000\n79635 100000\n50954 76469\n30712 46119\n54933 82401\n94436 100000\n42724 64173\n60032 90081\n91298 100000\n23243 34897\n6148 9239\n54884 82322\n40763 61188\n25137 37737\n32984 49518\n67378 100000\n56066 84115\n45911 68936\n96479 100000\n57531 86304\n93241 100000\n13485 20197\n81916 100000\n75076 100000\n70574 100000\n52058 78129\n14193 21251\n1790 2687\n57314 85976\n52934 79440\n96303 100000\n88287 100000\n61261 91899\n94216 100000\n89913 100000\n78482 100000\n3735 5621\n40338 60540\n73807 100000\n34754 52178\n12138 18180\n91898 100000\n12500 18728\n51340 77040\n83441 100000\n73689 100000\n11078 16586\n13140 19686\n41225 61893\n46268 69476\n17671 26512\n28933 43440\n80961 100000\n31429 47191\n13390 20065\n39030 58579\n18619 27944\n56463 84719\n58558 87881\n73937 100000\n18760 28152\n86033 100000\n27680 41545\n90370 100000\n93922 100000\n94503 100000\n58143 87242\n58706 88111\n30772 46206\n74201 100000\n48597 72988\n16775 25132\n85046 100000\n41188 61837\n33204 49842\n21409 32134\n412 627\n2120 3176\n71193 100000\n33178 49804\n32054 48129\n39642 59495\n17110 25648\n83327 100000\n78002 100000\n99701 100000\n12050 18053\n3179 4779\n77672 100000\n30700 46101\n12928 19372\n72807 100000\n22582 33911\n66590 99879\n99142 100000\n46329 69570\n66185 99288\n78055 100000\n53068 79635\n82477 100000\n73727 100000\n47857 71874\n97168 100000\n817 1229\n34764 52195\n14849 22226\n76885 100000\n71372 100000\n25758 38641\n46369 69635\n68289 100000\n74267 100000\n76202 100000\n38726 58118\n44325 66571\n18668 28017\n68387 100000\n66706 100000\n28867 43338\n95382 100000\n38426 57658\n67459 100000\n12785 19159\n53546 80350\n95020 100000\n59551 89360\n28776 43197\n72700 100000\n14133 21159\n51978 78005\n92098 100000\n75265 100000\n97766 100000\n92884 100000\n56682 85045\n11677 17482\n21199 31814\n11843 17737\n59725 89621\n86706 100000\n71418 100000\n31808 47756\n28637 42996\n11126 16654\n87509 100000\n73501 100000\n29592 44419\n49814 74783\n31944 47958\n32467 48751\n96999 100000\n98539 100000\n44963 67521\n61735 92605\n88952 100000\n36978 55492\n65888 98839\n52908 79402\n41354 62091\n1913 2868\n70012 100000\n22442 33698\n93476 100000\n42058 63158\n54901 82348\n11757 17605\n4786 7192\n69075 100000\n62720 94097\n15533 23266\n64541 96816\n32214 48364\n93636 100000\n97307 100000\n10418 15576\n86507 100000\n44263 66477\n29011 43561\n18039 27062\n32788 49227\n69897 100000\n46461 69783\n9114 13643\n41291 61996\n1023 1531\n18749 28138\n5218 7838\n86328 100000\n73369 100000\n24776 37201\n54050 81105\n63767 95642\n14326 21443\n21919 32927\n41014 61566\n49421 74203\n56905 85370\n37497 56273\n21266 31913\n99692 100000\n7472 11226\n80366 100000\n33683 50566\n95913 100000\n50678 76048\n76121 100000\n97977 100000\n21523 32302\n77744 100000\n11443 17127\n61426 92144\n51761 77677\n44028 66120\n61510 92278\n32557 48876\n27420 41142\n78726 100000\n35261 52938\n6414 9635\n68473 100000\n23966 35974\n71823 100000\n84200 100000\n74241 100000\n8852 13251\n18294 27448\n36238 54379\n48824 73322\n94769 100000\n44319 66563\n5067 7613\n53950 80956\n77229 100000\n97305 100000\n97662 100000\n12421 18608\n76266 100000\n20266 30412\n97051 100000\n93758 100000\n38662 58017\n35617 53469\n48985 73565\n68740 100000\n32578 48907\n36361 54568\n32493 48787\n68450 100000\n91067 100000\n44208 66395\n42191 63356\n54509 81774\n40609 60946\n6630 9951\n31550 47366\n56086 84142\n10296 15396\n587 887\n79388 100000\n27898 41878\n8810 13192\n50080 75164\n59726 89622\n78093 100000\n93718 100000\n49414 74192\n97174 100000\n16584 24851\n23410 35141\n81240 100000\n69254 100000\n78388 100000\n54426 81651\n28992 43530\n92567 100000\n77548 100000\n49757 74696\n64265 96398\n32315 48522\n1757 2635\n76880 100000\n90530 100000\n7113 10675\n34657 52032\n50137 75250\n62691 94056\n62761 94158\n51466 77229\n86241 100000\n7149 10730\n21219 31844\n34429 51690\n53862 80823\n72195 100000\n27549 41347\n71313 100000\n13549 20293\n51997 78032\n63285 94925\n47410 71207\n55777 83679\n10592 15842\n7481 11240\n34772 52205\n58684 88081\n84284 100000\n96957 100000\n73048 100000\n6826 10245\n56655 85006\n9870 14764\n74244 100000\n29185 43819\n92509 100000\n56736 85123\n13356 20016\n42903 64443\n27909 41892\n55241 82869\n14674 21965\n5028 7554\n19952 29938\n8441 12649\n26257 39392\n40596 60927\n19369 29059\n66983 100000\n8269 12401\n4155 6256\n98301 100000\n51787 77723\n98198 100000\n46789 70271\n6837 10265\n79061 100000\n44628 67014\n17674 26516\n55050 82573\n32549 48864\n23563 35372\n95372 100000\n46863 70384\n37050 55600\n31756 47671\n38688 58059\n71043 100000\n40365 60582\n30901 46403\n50986 76518\n86106 100000\n90258 100000\n29229 43887\n43351 65119\n50765 76188\n82520 100000\n33582 50415\n67151 100000\n3769 5672\n64657 96986\n99845 100000\n52666 79034\n79575 100000\n86601 100000\n14592 21843\n69582 100000\n74528 100000\n73948 100000\n42148 63295\n44377 66651\n40464 60724\n77118 100000\n44205 66390\n70670 100000\n70614 100000\n9841 14721\n52032 78087\n49551 74402\n86027 100000\n86664 100000\n71340 100000\n15963 23898\n30687 46083\n49548 74398\n86491 100000\n96409 100000\n58190 87311\n13184 19755\n28696 43081\n24504 36797\n19455 29196\n84505 100000\n95314 100000\n56675 85035\n78369 100000\n46481 69814\n3585 5397\n26185 39282\n99040 100000\n5601 8431\n81184 100000\n14939 22362\n78343 100000\n44894 67413\n86342 100000\n13312 19946\n82818 100000\n56303 84467\n4419 6649\n94532 100000\n82781 100000\n25270 37937\n65721 98588\n52487 78764\n92060 100000\n68545 100000\n65549 98323\n37218 55854\n72916 100000\n85532 100000\n31093 46694\n45907 68930\n96520 100000\n95303 100000\n89482 100000\n35272 52954\n68158 100000\n99010 100000\n68441 100000\n25276 37947\n21859 32831\n17683 26530\n44625 67009\n23644 35492\n60275 90432\n87114 100000\n5334 8016\n50081 75166\n98979 100000\n89968 100000\n89184 100000\n52613 78953\n92864 100000\n55224 82847\n81843 100000\n29877 44846\n72176 100000\n24322 36508\n86008 100000\n52249 78404\n99044 100000\n87525 100000\n30114 45203\n1011 1515\n16966 25432\n78208 100000\n23399 35124\n75951 100000\n92765 100000\n14232 21310\n3591 5405\n79329 100000\n50361 75587\n28284 42468\n42815 64321\n63171 94760\n90357 100000\n94 146\n28467 42739\n34525 51833\n81090 100000\n15020 22489\n50565 75885\n85066 100000\n74915 100000\n58773 88207\n32873 49352\n14259 21345\n40776 61209\n67626 100000\n23209 34845\n23973 35984\n26420 39642\n32638 49004\n19398 29105\n83297 100000\n29245 43909\n81591 100000\n48376 72645\n11726 17558\n65812 98720\n92430 100000\n54774 82160\n30218 45367\n71960 100000\n41905 62934\n23051 34613\n27823 41762\n98651 100000\n86647 100000\n55232 82859\n99965 100000\n51998 78034\n55517 83291\n85372 100000\n46948 70506\n83805 100000\n25467 38210\n82326 100000\n45570 68419\n86577 100000\n48124 72267\n26760 40149\n43185 64874\n26613 39926\n99559 100000\n36479 54742\n45718 68642\n39252 58912\n40296 60471\n26172 39261\n29260 43932\n5848 8793\n37000 55529\n56671 85030\n56741 85132\n9247 13841\n4889 7349\n81822 100000\n35028 52589\n30608 45960\n26343 39525\n91216 100000\n95720 100000\n15672 23469\n98203 100000\n30750 46175\n18485 27738\n99761 100000\n26592 39895\n97184 100000\n25119 37710\n65960 98949\n13128 19670\n6363 9555\n56761 85155\n90567 100000\n89545 100000\n50667 76034\n78872 100000\n90699 100000\n51245 76901\n693 1048\n21209 31827\n293 442\n1343 1994\n50593 75924\n8817 13204\n33419 50162\n73541 100000\n49404 74175\n80525 100000\n35889 53868\n92887 100000\n92917 100000\n19625 29453\n71541 100000\n88342 100000\n86494 100000\n65114 97669\n82695 100000\n61175 91770\n37171 55779\n8283 12424\n35346 53063\n83832 100000\n29995 45021\n40956 61476\n66108 99167\n57266 85904\n60596 90911\n74783 100000\n39488 59268\n87064 100000\n82024 100000\n21212 31831\n20040 30062\n17978 26972\n32122 48231\n81589 100000\n21459 32205\n19800 29712\n62461 93708\n79127 100000\n68205 100000\n53657 80514\n13730 20546\n22690 34066\n35939 53945\n71065 100000\n36277 54441\n69208 100000\n35548 53361\n44933 67475\n84309 100000\n88791 100000\n4505 6776\n90254 100000\n76577 100000\n52426 78669\n69869 100000\n50094 75185\n94636 100000\n50273 75456\n81089 100000\n2580 3871\n84713 100000\n60955 91439\n68704 100000\n49283 74006\n36008 54044\n47963 72034\n55922 83894\n80548 100000\n88210 100000\n25810 38714\n60422 90657\n50421 75670\n20542 30839\n22854 34308\n57418 86133\n30392 45626\n57014 85544\n40427 60673\n43489 65318\n25502 38263\n58216 87357\n71308 100000\n35086 52670\n75194 100000\n46117 69241\n90896 100000\n62623 93954\n26158 39238\n2022 3031\n76848 100000\n48675 73104\n55172 82771\n60892 91351\n1388 2074\n24275 36431\n12466 18674\n78080 100000\n32903 49394\n67615 100000\n1152 1715\n45142 67785\n46960 70524\n4428 6665\n74563 100000\n3247 4884\n74260 100000\n21660 32524\n77057 100000\n36520 54807\n49370 74123\n1280 1900\n6986 10486\n18814 28231\n5410 8132\n68593 100000\n84485 100000\n41581 62439\n13859 20739\n97397 100000\n25295 37971\n89506 100000\n54080 81147\n51239 76890\n96807 100000\n75529 100000\n78543 100000\n97660 100000\n26753 40138\n53641 80491\n40911 61415\n76200 100000\n40342 60546\n38092 57165\n25172 37790\n43763 65722\n20341 30524\n38437 57676\n13068 19583\n11894 17818\n82053 100000\n55506 83273\n60812 91226\n41784 62752\n67537 100000\n90601 100000\n48792 73278\n41307 62021\n60383 90601\n58121 87209\n80292 100000\n95984 100000\n51273 76944\n46819 70320\n54525 81798\n77594 100000\n70129 100000\n5166 7759\n58104 87178\n20547 30846\n18870 28313\n25065 37630\n65871 98814\n88757 100000\n18598 27911\n92227 100000\n28265 42441\n4238 6374\n10656 15939\n28608 42953\n96644 100000\n68678 100000\n76543 100000\n18491 27747\n29980 45000\n56612 84940\n50400 75642\n22640 33994\n77101 100000\n97948 100000\n86765 100000\n79409 100000\n33436 50189\n14749 22078\n77445 100000\n86695 100000\n13494 20211\n9060 13559\n55986 83992\n69024 100000\n67847 100000\n10086 15081\n23379 35096\n53967 80980\n53330 80017\n52520 78816\n61832 92752\n24480 36758\n75325 100000\n62364 93561\n57785 86685\n76546 100000\n21064 31608\n60644 90984\n6298 9464\n70680 100000\n43353 65121\n66288 99435\n61999 92999\n90684 100000\n42545 63903\n47101 70741\n98465 100000\n1900 2849\n61333 92007\n56981 85489\n49341 74083\n42499 63839\n90672 100000\n66206 99318\n22717 34105\n47100 70739\n35564 53384\n53340 80031\n5905 8878\n53061 79624\n4021 6064\n66253 99384\n46533 69893\n58163 87272\n1906 2857\n94651 100000\n71110 100000\n8058 12091\n67958 100000\n94345 100000\n78170 100000\n68705 100000\n87067 100000\n84495 100000\n91648 100000\n97625 100000\n26777 40177\n83362 100000\n96931 100000\n43214 64916\n38358 57554\n96135 100000\n27054 40591\n57349 86029\n48153 72310\n19580 29387\n1703 2554\n30067 45132\n37961 56977\n95845 100000\n1243 1847\n56664 85019\n53643 80495\n65962 98953\n71577 100000\n13178 19746\n3542 5333\n43633 65528\n37993 57023\n63682 95515\n99407 100000\n68519 100000\n48587 72971\n14866 22254\n87968 100000\n18645 27980\n89964 100000\n71004 100000\n14062 21044\n52528 78827\n25383 38094\n49355 74103\n18532 27814\n57424 86143\n36849 55288\n3437 5178\n42276 63487\n40253 60407\n53666 80527\n15369 23018\n46702 70145\n34859 52336\n39736 59643\n84784 100000\n2003 3002\n89870 100000\n78146 100000\n85673 100000\n1329 1971\n71452 100000\n45005 67588\n68176 100000\n99076 100000\n60109 90197\n19211 28823\n58433 87690\n32573 48899\n90531 100000\n12000 17982\n36117 54206\n8370 12545\n34672 52055\n26222 39338\n49296 74021\n79285 100000\n4776 7180\n28202 42344\n98151 100000\n64057 96090\n58931 88441\n61690 92539\n37701 56584\n40018 60059\n31072 46663\n49513 74342\n53723 80613\n47924 71976\n81690 100000\n32450 48725\n27017 40534\n57853 86792\n68844 100000\n95066 100000\n10883 16289\n78505 100000\n56647 84995\n83720 100000\n83208 100000\n55146 82729\n87695 100000\n95133 100000\n93778 100000\n84845 100000\n54622 81936\n16222 24290\n95793 100000\n94784 100000\n73651 100000\n86211 100000\n84851 100000\n88924 100000\n92757 100000\n18203 27310\n67744 100000\n32437 48702\n88223 100000\n24993 37530\n1143 1701\n93894 100000\n83978 100000\n90576 100000\n74803 100000\n9221 13804\n18422 27644\n5549 8349\n98839 100000\n89040 100000\n5867 8824\n61360 92046\n62635 93968\n46850 70365\n63855 95772\n92948 100000\n32082 48171\n73054 100000\n15015 22482\n87172 100000\n35499 53287\n5629 8470\n38013 57052\n31488 47279\n79977 100000\n54067 81129\n58110 87188\n35100 52692\n62728 94108\n28553 42868\n67913 100000\n17646 26473\n82341 100000\n95752 100000\n91205 100000\n57722 86590\n52046 78110\n9262 13864\n68805 100000\n59605 89439\n40121 60213\n53889 80862\n55025 82531\n39424 59168\n7340 11025\n32347 48568\n52444 78697\n26537 39814\n45697 68611\n63133 94706\n92811 100000\n70067 100000\n59073 88645\n54193 81315\n69875 100000\n94128 100000\n51115 76709\n8583 12858\n31947 47963\n79177 100000\n46104 69221\n8438 12645\n92970 100000\n82222 100000\n38412 57637\n41716 62648\n63416 95119\n12639 18939\n96027 100000\n7834 11762\n77133 100000\n5510 8288\n90941 100000\n16237 24312\n71993 100000\n23804 35729\n14565 21803\n5563 8369\n77789 100000\n65618 98430\n59234 88886\n20868 31317\n29280 43955\n2974 4476\n82792 100000\n18148 27227\n7041 10572\n21184 31791\n38993 58524\n97672 100000\n9806 14669\n68296 100000\n50383 75619\n15545 23284\n1678 2513\n20783 31191\n72943 100000\n13772 20609\n96259 100000\n45046 67647\n12261 18357\n81565 100000\n2373 3563\n41865 62874\n75554 100000\n84086 100000\n98023 100000\n16119 24138\n34161 51293\n55965 83960\n79622 100000\n99105 100000\n88855 100000\n46121 69246\n45380 68135\n256 387\n64676 97015\n49690 74600\n50420 75669\n40827 61282\n95860 100000\n91228 100000\n55759 83651\n1916 2873\n48415 72708\n95216 100000\n60680 91035\n54142 81242\n50768 76193\n11145 16683\n22117 33224\n9086 13600\n8797 13172\n70624 100000\n16801 25173\n77782 100000\n9770 14612\n54754 82131\n76365 100000\n59376 89102\n19384 29081\n1235 1834\n30474 45757\n78167 100000\n76360 100000\n39291 58969\n91863 100000\n29150 43768\n25549 38329\n65988 98991\n62772 94171\n15746 23573\n65026 97535\n51124 76724\n25616 38429\n63518 95272\n40326 60518\n12654 18962\n72661 100000\n24759 37174\n99381 100000\n98969 100000\n36787 55192\n25430 38161\n8442 12651\n36614 54946\n232 351\n40574 60893\n37138 55725\n51333 77029\n39064 58624\n60350 90546\n26067 39102\n55324 82992\n71390 100000\n98670 100000\n95898 100000\n31037 46608\n78626 100000\n21814 32760\n48544 72902\n16998 25481\n87200 100000\n16769 25124\n13190 19765\n51133 76736\n2043 3060\n31864 47841\n78026 100000\n78563 100000\n4332 6522\n62988 94487\n7018 10537\n6199 9313\n62310 93478\n18501 27762\n42339 63590\n83095 100000\n28188 42320\n41471 62270\n35392 53126\n40918 61425\n72259 100000\n75940 100000\n91845 100000\n10649 15928\n17700 26560\n28720 43112\n16890 25316\n11202 16771\n74698 100000\n76429 100000\n29389 44114\n3061 4601\n99293 100000\n32879 49361\n13520 20250\n53127 79722\n80507 100000\n69595 100000\n81256 100000\n36224 54357\n55649 83493\n49056 73670\n47962 72032\n46663 70088\n54116 81203\n62788 94194\n23946 35942\n61323 91991\n30250 45416\n18439 27669\n60621 90949\n82377 100000\n37952 56964\n43631 65525\n6588 9893\n20014 30021\n98741 100000\n1904 2854\n77345 100000\n48731 73188\n26070 39106\n77455 100000\n14201 21266\n90075 100000\n79689 100000\n54654 81979\n97020 100000\n51525 77319\n74817 100000\n37967 56986\n15687 23490\n75106 100000\n85358 100000\n83051 100000\n26274 39418\n15797 23652\n60016 90053\n79824 100000\n15882 23775\n67009 100000\n5429 8164\n18502 27763\n94989 100000\n49117 73765\n95010 100000\n95708 100000\n64183 96272\n7391 11101\n99252 100000\n42167 63324\n70090 100000\n91904 100000\n39299 58980\n29377 44098\n34972 52505\n74304 100000\n37800 56734\n10420 15580\n71488 100000\n75295 100000\n60720 91093\n1881 2822\n86135 100000\n88793 100000\n28847 43308\n73766 100000\n11361 17006\n2742 4119\n94510 100000\n38828 58272\n41896 62919\n12724 19061\n44318 66562\n50007 75059\n59718 89612\n93481 100000\n35582 53414\n43770 65733\n23703 35577\n57529 86302\n73137 100000\n66680 100000\n61142 91716\n95874 100000\n67087 100000\n6048 9083\n37642 56499\n28625 42979\n39269 58935\n71307 100000\n83558 100000\n79790 100000\n44039 66138\n62041 93069\n42216 63396\n68823 100000\n30625 45987\n37872 56841\n61781 92672\n2019 3025\n98760 100000\n76236 100000\n81513 100000\n47251 70971\n5888 8854\n37036 55581\n98521 100000\n27209 40830\n93642 100000\n29097 43685\n23720 35604\n60775 91177\n52646 79005\n74343 100000\n89535 100000\n95853 100000\n72987 100000\n20568 30875\n10230 15296\n97260 100000\n99677 100000\n32327 48538\n9991 14937\n78353 100000\n74443 100000\n60963 91451\n3737 5624\n72406 100000\n70350 100000\n54441 81675\n25117 37707\n48763 73233\n31547 47362\n37056 55610\n58098 87169\n92609 100000\n17187 25777\n75118 100000\n11878 17794\n21061 31604\n95507 100000\n31798 47739\n88551 100000\n47558 71429\n56228 84355\n5031 7558\n7316 10988\n66889 100000\n91002 100000\n27428 41156\n34904 52406\n96266 100000\n15537 23272\n49497 74321\n94934 100000\n71639 100000\n77786 100000\n47808 71800\n20894 31357\n16471 24665\n1755 2633\n25881 38815\n1285 1906\n39402 59140\n40334 60533\n53816 80753\n46786 70267\n7193 10801\n6452 9690\n75674 100000\n57729 86600\n41776 62740\n26229 39346\n14587 21835\n20817 31239\n8814 13199\n16494 24702\n57110 85682\n74988 100000\n50086 75172\n52583 78904\n20255 30393\n24000 36033\n49059 73674\n24721 37116\n25280 37952\n29648 44503\n49469 74275\n2094 3138\n88235 100000\n79295 100000\n48975 73548\n17705 26566\n8963 13416\n82601 100000\n36710 55083\n67535 100000\n41533 62365\n12959 19418\n8285 12427\n45409 68177\n92370 100000\n21065 31609\n85763 100000\n91647 100000\n46454 69772\n96029 100000\n42730 64185\n15254 22836\n93720 100000\n36269 54429\n54827 82239\n62449 93689\n14314 21426\n56251 84390\n9568 14316\n49847 74831\n41764 62721\n55417 83139\n51817 77769\n25044 37600\n93493 100000\n81272 100000\n94461 100000\n33855 50839\n30230 45384\n73953 100000\n99882 100000\n92935 100000\n17018 25510\n39119 58712\n2098 3142\n62451 93693\n41476 62278\n23594 35418\n92879 100000\n10350 15472\n18669 28019\n87292 100000\n49923 74938\n65379 98071\n44907 67433\n15998 23953\n55796 83707\n82358 100000\n58830 88288\n70107 100000\n55089 82638\n9424 14111\n93384 100000\n84412 100000\n35463 53235\n1616 2417\n63025 94541\n73806 100000\n90424 100000\n52814 79263\n57783 86682\n12762 19118\n78089 100000\n39969 59985\n24137 36238\n80642 100000\n51519 77309\n82185 100000\n71801 100000\n83126 100000\n34882 52373\n63972 95959\n76798 100000\n43576 65446\n10373 15508\n2844 4268\n4152 6250\n41318 62039\n5178 7776\n73288 100000\n34025 51101\n25042 37597\n77787 100000\n72084 100000\n18170 27262\n78038 100000\n44703 67119\n73843 100000\n12814 19202\n67120 100000\n64366 96549\n97281 100000\n1725 2590\n64233 96345\n47615 71515\n20806 31223\n12994 19469\n77503 100000\n82281 100000\n81194 100000\n26493 39750\n68509 100000\n67541 100000\n62705 94076\n51024 76575\n13727 20541\n66450 99679\n219 332\n1114 1660\n52260 78418\n11517 17236\n98653 100000\n18547 27837\n64554 96835\n86281 100000\n79608 100000\n39211 58851\n63860 95780\n90210 100000\n18249 27382\n15831 23698\n3924 5914\n52737 79141\n18220 27336\n30146 45256\n92668 100000\n64152 96228\n29468 44234\n94238 100000\n51685 77568\n82449 100000\n92908 100000\n29051 43619\n42661 64078\n15651 23437\n65425 98139\n47670 71597\n15538 23273\n2901 4359\n40235 60379\n76374 100000\n7695 11559\n9929 14848\n63332 94995\n19401 29109\n66285 99431\n50359 75585\n9670 14459\n95017 100000\n69831 100000\n66711 100000\n87886 100000\n56601 84924\n88721 100000\n59418 89167\n74703 100000\n42486 63820\n24886 37363\n49861 74854\n29644 44496\n13633 20406\n32603 48946\n71836 100000\n69824 100000\n2784 4181\n31021 46583\n40974 61502\n18140 27214\n35699 53579\n57254 85887\n94711 100000\n47916 71965\n332 506\n75387 100000\n5309 7979\n16143 24172\n96967 100000\n2891 4345\n9914 14826\n22590 33925\n41146 61775\n77899 100000\n47822 71823\n86631 100000\n30585 45926\n75321 100000\n8456 12674\n42597 63981\n30959 46490\n35029 52590\n10946 16384\n71473 100000\n16539 24779\n40449 60703\n40211 60341\n59843 89797\n18933 28405\n97319 100000\n44605 66981\n11602 17365\n32387 48626\n92274 100000\n55402 83112\n50858 76329\n918 1380\n8007 12011\n38137 57236\n80150 100000\n98080 100000\n18537 27823\n66946 100000\n17562 26340\n28120 42214\n6728 10102\n98768 100000\n95281 100000\n9525 14260\n86378 100000\n42299 63521\n30780 46217\n83897 100000\n65598 98397\n1272 1887\n34872 52359\n16830 25221\n2431 3647\n56497 84768\n17940 26924\n70089 100000\n16510 24727\n56259 84402\n97803 100000\n56745 85137\n71809 100000\n38249 57393\n46930 70482\n83532 100000\n50742 76153\n54598 81901\n36694 55057\n83074 100000\n65836 98758\n48928 73479\n35331 53040\n61946 92922\n76119 100000\n8522 12768\n37946 56955\n13706 20513\n75435 100000\n50108 75208\n1826 2741\n74841 100000\n49170 73847\n98556 100000\n6003 9017\n31377 47109\n20668 31021\n77963 100000\n98224 100000\n44447 66748\n76269 100000\n73133 100000\n83212 100000\n31406 47155\n41120 61734\n83069 100000\n46208 69383\n59789 89721\n95870 100000\n32287 48477\n86206 100000\n51336 77034\n90901 100000\n40932 61445\n74277 100000\n97511 100000\n66964 100000\n92651 100000\n11382 17036\n56660 85013\n92384 100000\n42356 63617\n24117 36212\n67644 100000\n47560 71431\n56138 84222\n30986 46532\n90972 100000\n7125 10691\n92333 100000\n67802 100000\n47128 70782\n47831 71837\n93126 100000\n63610 95411\n70041 100000\n21810 32756\n58653 88032\n80992 100000\n51550 77357\n63653 95476\n85647 100000\n64829 97242\n86398 100000\n25701 38551\n54864 82294\n33007 49552\n38678 58041\n27430 41160\n22190 33332\n4339 6534\n98111 100000\n82559 100000\n71790 100000\n72293 100000\n57941 86924\n22745 34147\n95995 100000\n83680 100000\n15026 22496\n5216 7835\n11916 17854\n83053 100000\n39109 58694\n99511 100000\n17052 25559\n63361 95038\n93402 100000\n44012 66098\n36801 55214\n55167 82763\n28329 42534\n2299 3448\n63410 95108\n59525 89323\n25818 38728\n83657 100000\n96523 100000\n23234 34884\n83581 100000\n39525 59322\n46388 69669\n51235 76883\n41150 61780\n1100 1638\n18650 27988\n4072 6139\n33536 50347\n20246 30379\n65109 97661\n95678 100000\n85691 100000\n12131 18170\n10827 16205\n18 27\n39899 59890\n7335 11017\n11131 16662\n78417 100000\n53911 80898\n67400 100000\n31107 46714\n37047 55596\n20925 31403\n17850 26784\n63791 95679\n35379 53110\n33453 50215\n57147 85734\n59706 89594\n14903 22308\n31572 47399\n51310 76994\n24041 36094\n15667 23462\n24609 36953\n41159 61793\n20406 30625\n63330 94992\n52529 78828\n95363 100000\n81150 100000\n46111 69233\n50035 75098\n38212 57339\n73850 100000\n33995 51055\n64210 96312\n28246 42407\n66056 99087\n38447 57690\n1244 1848\n33221 49868\n9798 14657\n92719 100000\n39628 59474\n56839 85272\n92371 100000\n79777 100000\n17072 25592\n62498 93765\n43494 65326\n86458 100000\n47770 71742\n1814 2722\n78366 100000\n78174 100000\n4703 7069\n95665 100000\n62182 93287\n62841 94275\n36557 54861\n67265 100000\n6881 10334\n65217 97820\n10901 16320\n1756 2634\n15770 23614\n24928 37430\n14684 21977\n25961 38933\n96079 100000\n86528 100000\n91792 100000\n8668 12982\n88316 100000\n62435 93670\n13537 20276\n14618 21881\n2689 4038\n85492 100000\n67277 100000\n41679 62587\n11520 17241\n29842 44788\n61096 91649\n34006 51072\n4324 6508\n32413 48667\n44941 67487\n64900 97347\n57362 86050\n97208 100000\n40461 60719\n86633 100000\n80651 100000\n61231 91851\n81621 100000\n87627 100000\n74876 100000\n90937 100000\n46653 70072\n67413 100000\n21407 32130\n7680 11535\n88303 100000\n43967 66028\n79704 100000\n85662 100000\n32735 49144\n44486 66805\n64465 96712\n13841 20712\n35779 53702\n98589 100000\n37575 56396\n61712 92572\n60601 90921\n50757 76176\n76627 100000\n84133 100000\n71049 100000\n13098 19626\n61173 91766\n24356 36562\n83238 100000\n88045 100000\n2929 4408\n99089 100000\n89407 100000\n22897 34374\n31433 47197\n74531 100000\n26368 39564\n60413 90644\n3439 5180\n12464 18672\n401 608\n54787 82179\n52405 78637\n93234 100000\n57990 86996\n1487 2228\n61061 91594\n50989 76523\n82255 100000\n16010 23971\n31784 47717\n14267 21357\n80729 100000\n6039 9069\n17898 26858\n94168 100000\n2750 4132\n578 872\n34970 52503\n33301 49992\n30135 45238\n45307 68025\n58152 87254\n13815 20671\n96919 100000\n27831 41773\n4216 6344\n2099 3143\n5264 7912\n37182 55796\n52733 79135\n9383 14045\n7888 11843\n72059 100000\n60627 90959\n26112 39163\n56641 84987\n41165 61801\n99651 100000\n71470 100000\n62684 94043\n88961 100000\n45484 68297\n65267 97898\n22948 34452\n40063 60126\n91264 100000\n43410 65205\n31258 46932\n82746 100000\n47027 70629\n7865 11806\n12584 18854\n52263 78423\n47443 71256\n90157 100000\n69086 100000\n15703 23512\n52217 78357\n39706 59592\n45474 68281\n847 1277\n12452 18654\n58125 87215\n59828 89776\n52675 79048\n79130 100000\n55416 83138\n67731 100000\n22299 33493\n93197 100000\n7027 10554\n12956 19414\n31310 47006\n70356 100000\n26497 39755\n54069 81132\n90917 100000\n71882 100000\n17946 26930\n67311 100000\n42947 64514\n65572 98358\n88914 100000\n54313 81500\n24088 36165\n46330 69572\n79903 100000\n1689 2531\n15675 23473\n31270 46947\n83937 100000\n3569 5374\n94004 100000\n77589 100000\n47387 71172\n75382 100000\n44418 66709\n44099 66229\n31546 47360\n17489 26232\n79012 100000\n49573 74431\n68801 100000\n61262 91901\n43953 66007\n7887 11841\n39236 58887\n27270 40916\n66840 100000\n45211 67885\n26281 39431\n8279 12417\n50712 76101\n1377 2053\n75412 100000\n15596 23358\n24827 37279\n96037 100000\n73991 100000\n15019 22487\n13011 19498\n15930 23845\n48094 72225\n71264 100000\n19754 29641\n71376 100000\n37829 56775\n54514 81781\n41665 62567\n5131 7709\n6655 9995\n84484 100000\n15268 22854\n12263 18360\n14434 21603\n91726 100000\n56350 84544\n66374 99566\n22348 33560\n91754 100000\n26927 40400\n50528 75827\n53031 79580\n69342 100000\n34334 51553\n19148 28731\n68248 100000\n88969 100000\n54854 82281\n51279 76951\n12343 18488\n87761 100000\n80382 100000\n39313 59001\n29719 44605\n77800 100000\n44657 67053\n91962 100000\n75473 100000\n86364 100000\n79847 100000\n94941 100000\n70804 100000\n40859 61337\n45706 68624\n38582 57897\n78968 100000\n55237 82865\n37971 56992\n78030 100000\n14874 22265\n98828 100000\n73534 100000\n90161 100000\n20235 30363\n63758 95629\n69066 100000\n12751 19101\n51427 77173\n7906 11866\n33847 50825\n94244 100000\n79729 100000\n12680 18998\n87111 100000\n53341 80032\n92778 100000\n18019 27031\n92357 100000\n48696 73140\n27937 41937\n38215 57343\n54284 81455\n22451 33711\n13115 19650\n16017 23980\n96116 100000\n51379 77097\n81284 100000\n6596 9904\n61571 92370\n54066 81128\n20698 31065\n70257 100000\n9665 14451\n74094 100000\n59379 89106\n39569 59388\n91733 100000\n9071 13575\n84966 100000\n70644 100000\n27616 41443\n2244 3364\n22720 34108\n48530 72881\n18199 27306\n86576 100000\n69758 100000\n21319 31996\n4830 7254\n18492 27749\n72603 100000\n39741 59649\n95249 100000\n81378 100000\n78616 100000\n4060 6123\n73830 100000\n36293 54465\n49002 73591\n94881 100000\n65591 98386\n45857 68852\n56153 84247\n11806 17682\n77374 100000\n88380 100000\n90497 100000\n55529 83312\n31935 47946\n38646 57990\n80605 100000\n77868 100000\n10004 14955\n96871 100000\n88193 100000\n81864 100000\n67609 100000\n46858 70376\n37821 56765\n66147 99227\n60330 90514\n11050 16546\n77386 100000\n3845 5787\n90975 100000\n53011 79552\n58032 87060\n75649 100000\n50153 75275\n43150 64822\n66528 99789\n81682 100000\n59785 89714\n8926 13363\n93339 100000\n95572 100000\n37846 56799\n72915 100000\n83946 100000\n60564 90864\n93066 100000\n23147 34755\n43050 64671\n62405 93622\n38909 58391\n8532 12782\n89936 100000\n36116 54205\n18299 27454\n92554 100000\n25827 38739\n1967 2949\n61529 92306\n69137 100000\n50913 76410\n75451 100000\n71006 100000\n7639 11475\n93374 100000\n777 1165\n53385 80096\n13828 20694\n83067 100000\n48161 72324\n38416 57643\n93616 100000\n58250 87408\n76025 100000\n30658 46038\n30452 45721\n92146 100000\n39803 59738\n13427 20117\n57073 85633\n43796 65771\n55790 83698\n83449 100000\n95170 100000\n24581 36911\n51743 77652\n40535 60832\n99399 100000\n23096 34679\n64014 96022\n74408 100000\n89112 100000\n92339 100000\n33717 50617\n48847 73354\n58639 88009\n49323 74060\n28039 42096\n1017 1523\n37875 56846\n39684 59560\n8813 13197\n89049 100000\n85730 100000\n10457 15635\n18091 27140\n8562 12827\n90215 100000\n65574 98362\n90644 100000\n34389 51636\n37704 56588\n44972 67534\n98024 100000\n12477 18694\n24479 36756\n31776 47704\n82188 100000\n67851 100000\n54143 81243\n74045 100000\n41179 61823\n58680 88075\n55335 83011\n59880 89850\n64680 97021\n29117 43718\n26454 39692\n48060 72180\n52860 79330\n13508 20232\n2967 4466\n88177 100000\n16762 25114\n46630 70040\n8821 13208\n88324 100000\n1170 1741\n45690 68601\n36350 54550\n17007 25492\n32693 49081\n89629 100000\n9077 13585\n10479 15667\n41648 62543\n98487 100000\n32517 48819\n63841 95752\n34078 51185\n10547 15769\n84232 100000\n12770 19132\n86453 100000\n92731 100000\n69918 100000\n55127 82699\n35991 54017\n83528 100000\n62442 93679\n54055 81112\n3162 4753\n40740 61151\n20742 31126\n8022 12036\n20828 31254\n80513 100000\n89211 100000\n97858 100000\n59731 89630\n31782 47713\n70239 100000\n99675 100000\n78956 100000\n83589 100000\n53224 79858\n16384 24531\n74410 100000\n90632 100000\n48098 72230\n6868 10315\n67882 100000\n5550 8350\n17895 26854\n80039 100000\n10025 14985\n7276 10927\n67160 100000\n54012 81051\n30413 45662\n93889 100000\n76466 100000\n99978 100000\n91954 100000\n44122 66263\n7203 10818\n92828 100000\n55219 82839\n98717 100000\n96270 100000\n86548 100000\n46065 69163\n59538 89342\n41787 62757\n66330 99496\n36604 54933\n76585 100000\n28563 42882\n4770 7174\n36974 55486\n85576 100000\n16934 25382\n3792 5708\n81615 100000\n55876 83823\n13119 19656\n52664 79031\n84755 100000\n45837 68819\n47440 71252\n76654 100000\n82296 100000\n39084 58659\n79511 100000\n35819 53763\n66693 100000\n70992 100000\n39784 59711\n69104 100000\n78779 100000\n67878 100000\n78612 100000\n38382 57588\n2215 3324\n24056 36116\n70250 100000\n4330 6518\n33626 50479\n50936 76441\n45603 68470\n68936 100000\n70424 100000\n52549 78856\n90453 100000\n45930 68962\n10070 15056\n97492 100000\n22362 33579\n90016 100000\n13242 19842\n82810 100000\n42408 63701\n86629 100000\n27741 41636\n29437 44189\n63203 94806\n79274 100000\n58648 88024\n10558 15787\n48757 73224\n72442 100000\n17194 25789\n35260 52937\n97058 100000\n41259 61944\n39852 59813\n60883 91334\n69223 100000\n70155 100000\n83205 100000\n4863 7305\n14488 21682\n46581 69968\n82706 100000\n96040 100000\n193 296\n80760 100000\n46926 70476\n38702 58082\n65692 98540\n87668 100000\n41498 62315\n19433 29162\n22505 33795\n27920 41911\n58950 88465\n96227 100000\n93178 100000\n23443 35194\n83745 100000\n56504 84779\n39756 59672\n36615 54947\n64334 96505\n56853 85291\n70685 100000\n2791 4193\n29598 44427\n44527 66866\n96370 100000\n76160 100000\n821 1235\n17659 26494\n57178 85782\n99379 100000\n70885 100000\n86373 100000\n65465 98203\n8704 13037\n81522 100000\n21803 32744\n30523 45834\n99146 100000\n74882 100000\n67109 100000\n49625 74507\n22183 33321\n26013 39017\n41211 61874\n26991 40495\n83044 100000\n28614 42962\n41151 61781\n46125 69251\n3298 4958\n90212 100000\n39087 58664\n78829 100000\n6518 9789\n14009 20967\n49857 74848\n23996 36026\n32043 48112\n78591 100000\n93531 100000\n96226 100000\n52760 79184\n29073 43650\n34856 52332\n96023 100000\n38016 57056\n63575 95359\n10152 15182\n21710 32594\n26499 39757\n94530 100000\n76656 100000\n47105 70747\n6066 9116\n45529 68364\n46648 70064\n88536 100000\n79393 100000\n13975 20920\n28890 43374\n4017 6059\n49140 73799\n63449 95166\n70025 100000\n86471 100000\n81238 100000\n48472 72795\n79659 100000\n56544 84839\n87653 100000\n86591 100000\n9719 14533\n91027 100000\n38690 58062\n13260 19870\n1440 2154\n60634 90970\n58904 88407\n99424 100000\n20188 30289\n84644 100000\n68660 100000\n59473 89246\n59093 88673\n30 46\n6969 10460\n30741 46160\n87246 100000\n62618 93946\n89 140\n59897 89876\n43281 65016\n63640 95455\n22526 33825\n13863 20744\n66355 99535\n44086 66208\n58623 87984\n43064 64689\n86980 100000\n52071 78147\n59716 89610\n50841 76303\n36329 54519\n9450 14148\n72388 100000\n46342 69590\n64870 97304\n48622 73024\n69726 100000\n58358 87576\n9655 14437\n29174 43803\n88188 100000\n29832 44771\n4283 6444\n2688 4036\n68330 100000\n50888 76371\n83574 100000\n89074 100000\n23436 35182\n73030 100000\n42187 63350\n60727 91104\n11921 17862\n36342 54538\n89582 100000\n29617 44456\n56273 84423\n74966 100000\n26944 40426\n19797 29708\n5225 7849\n95748 100000\n89884 100000\n66744 100000\n28663 43033\n3411 5136\n22912 34401\n4466 6718\n4497 6764\n84521 100000\n43076 64709\n47275 71004\n14441 21616\n95619 100000\n38626 57961\n5435 8175\n84648 100000\n52724 79121\n79368 100000\n78220 100000\n20467 30723\n90547 100000\n67766 100000\n21766 32683\n39868 59839\n4409 6637\n46709 70155\n8131 12192\n55918 83888\n20376 30575\n12586 18858\n41153 61784\n47657 71577\n39481 59258\n79874 100000\n38105 57188\n99828 100000\n87713 100000\n32775 49208\n2183 3272\n7742 11631\n28969 43496\n44353 66615\n77904 100000\n96996 100000\n52157 78275\n15159 22695\n83060 100000\n56041 84076\n43659 65565\n125 190\n47553 71421\n17887 26840\n80690 100000\n45707 68626\n48422 72716\n88283 100000\n81981 100000\n55010 82512\n30121 45215\n84308 100000\n76929 100000\n57333 86005\n1261 1873\n50921 76419\n34265 51447\n40050 60107\n12840 19239\n41606 62480\n78221 100000\n85936 100000\n65017 97524\n29594 44421\n82581 100000\n26260 39397\n58674 88066\n20930 31410\n42973 64555\n44269 66486\n36013 54052\n80795 100000\n33286 49971\n2376 3567\n14745 22072\n20627 30963\n96152 100000\n87454 100000\n31305 46999\n15266 22852\n10609 15867\n93020 100000\n53228 79866\n47890 71927\n2277 3417\n84993 100000\n60052 90112\n75040 100000\n32330 48542\n3078 4628\n52653 79015\n21048 31588\n18394 27603\n63908 95854\n11871 17782\n46033 69115\n19298 28952\n38231 57370\n745 1120\n41604 62476\n68979 100000\n23106 34695\n82286 100000\n55141 82723\n70403 100000\n83813 100000\n63153 94738\n43605 65487\n70281 100000\n71202 100000\n41515 62338\n28524 42825\n63286 94926\n8625 12918\n72091 100000\n31143 46767\n38285 57449\n70734 100000\n89491 100000\n45430 68211\n80116 100000\n88941 100000\n46747 70209\n15572 23325\n83077 100000\n29046 43612\n32028 48087\n89296 100000\n85938 100000\n9548 14290\n95134 100000\n46039 69123\n94877 100000\n58409 87653\n34497 51787\n84193 100000\n82911 100000\n65748 98626\n20426 30655\n69297 100000\n58160 87266\n90687 100000\n54448 81686\n27165 40758\n60764 91159\n84421 100000\n25916 38864\n6640 9971\n28109 42199\n82824 100000\n881 1325\n47595 71482\n53428 80168\n12110 18137\n8083 12121\n38055 57109\n68908 100000\n30407 45652\n42940 64503\n29431 44179\n78121 100000\n47325 71077\n9339 13982\n57723 86592\n27882 41852\n41852 62852\n13410 20091\n96513 100000\n78770 100000\n1870 2806\n87696 100000\n40898 61396\n41457 62250\n871 1310\n61715 92576\n86729 100000\n6227 9351\n22547 33859\n67907 100000\n61048 91575\n60480 90740\n32198 48340\n86728 100000\n39175 58794\n97823 100000\n26671 40014\n37751 56658\n38818 58260\n82574 100000\n54573 81864\n33255 49923\n84212 100000\n51986 78018\n13305 19937\n64563 96848\n68566 100000\n49078 73702\n27060 40601\n77753 100000\n84991 100000\n87961 100000\n96043 100000\n86035 100000\n25136 37735\n40790 61227\n96483 100000\n13892 20789\n78173 100000\n89122 100000\n17280 25921\n70345 100000\n51863 77832\n28653 43019\n27425 41151\n64464 96711\n58323 87525\n35960 53971\n97637 100000\n3571 5377\n19153 28740\n87415 100000\n16480 24678\n5393 8108\n69870 100000\n75948 100000\n74806 100000\n63160 94747\n4711 7084\n39555 59366\n24336 36530\n13187 19761\n76641 100000\n70628 100000\n65278 97918\n115 174\n16282 24383\n15068 22557\n87873 100000\n90513 100000\n81597 100000\n66931 100000\n78104 100000\n5842 8783\n64718 97080\n78132 100000\n60752 91140\n17195 25790\n43785 65755\n57678 86525\n60175 90294\n47579 71459\n48313 72548\n92617 100000\n70028 100000\n48929 73481\n22784 34203\n66254 99386\n33692 50579\n93788 100000\n64339 96513\n69395 100000\n19536 29325\n40892 61390\n31580 47411\n5559 8362\n65375 98066\n43179 64865\n77874 100000\n2894 4349\n5240 7872\n13193 19769\n47541 71405\n3771 5674\n40178 60294\n27728 41616\n10928 16358\n83602 100000\n67106 100000\n9455 14155\n28371 42597\n34231 51396\n79528 100000\n99287 100000\n12685 19005\n73179 100000\n45019 67609\n60499 90769\n9111 13638\n26288 39441\n41449 62237\n23265 34928\n40547 60853\n70649 100000\n36621 54954\n85622 100000\n15607 23375\n8586 12864\n51385 77107\n41579 62436\n25519 38290\n60254 90406\n37912 56901\n91646 100000\n41197 61853\n79605 100000\n54635 81953\n78976 100000\n81861 100000\n47645 71560\n80303 100000\n70467 100000\n92874 100000\n59355 89070\n70562 100000\n75851 100000\n45851 68843\n59967 89981\n1410 2106\n31349 47069\n57060 85615\n36992 55515\n57598 86405\n55893 83851\n64996 97494\n99445 100000\n22995 34525\n15366 23013\n33792 50737\n15065 22553\n76797 100000\n41450 62239\n22317 33517\n96261 100000\n83397 100000\n99085 100000\n20043 30067\n47087 70721\n89208 100000\n91836 100000\n53569 80385\n67561 100000\n76728 100000\n14762 22098\n850 1282\n57040 85587\n14369 21510\n35115 52712\n80175 100000\n89441 100000\n10652 15932\n81439 100000\n22234 33398\n16578 24842\n86640 100000\n68718 100000\n57566 86360\n89017 100000\n10821 16193\n84944 100000\n35440 53202\n42966 64546\n38716 58103\n3731 5615\n69253 100000\n37735 56633\n71781 100000\n66821 100000\n84829 100000\n60675 91029\n38869 58331\n11678 17484\n74591 100000\n7053 10592\n11973 17944\n28968 43494\n41089 61682\n96207 100000\n59077 88652\n56911 85379\n5678 8543\n98692 100000\n69385 100000\n37866 56831\n54847 82270\n38440 57679\n82938 100000\n70979 100000\n29233 43894\n48492 72827\n62350 93537\n86964 100000\n42291 63509\n18051 27079\n80922 100000\n42493 63828\n31316 47017\n71949 100000\n6032 9058\n40263 60422\n42912 64457\n63085 94635\n91722 100000\n2454 3681\n6017 9037\n20951 31443\n37794 56724\n97262 100000\n68292 100000\n29851 44802\n42648 64057\n86978 100000\n3538 5326\n88935 100000\n46814 70312\n40352 60561\n97682 100000\n99336 100000\n87319 100000\n23587 35409\n50320 75527\n3797 5715\n85128 100000\n18813 28230\n34270 51454\n45795 68757\n90974 100000\n54112 81196\n13888 20784\n93418 100000\n75920 100000\n1605 2402\n29302 43987\n97896 100000\n49024 73625\n72440 100000\n62309 93476\n92996 100000\n40258 60415\n30869 46354\n80660 100000\n61813 92722\n71518 100000\n852 1284\n68199 100000\n47222 70924\n1652 2474\n66774 100000\n15347 22983\n52062 78134\n97574 100000\n56258 84401\n60992 91492\n74252 100000\n26251 39381\n11255 16850\n37805 56740\n36226 54359\n74361 100000\n7826 11751\n1843 2769\n64761 97142\n30908 46415\n54062 81122\n62467 93716\n32921 49425\n80849 100000\n71648 100000\n79600 100000\n85073 100000\n56945 85433\n74598 100000\n13228 19820\n19487 29245\n86163 100000\n83 128\n63911 95859\n14787 22135\n11249 16839\n32727 49131\n32801 49246\n90235 100000\n16489 24693\n31329 47037\n52083 78166\n86753 100000\n13125 19666\n7142 10718\n82893 100000\n89690 100000\n45917 68944\n537 810\n8399 12590\n85086 100000\n26297 39455\n25095 37673\n74800 100000\n37505 56285\n44441 66740\n13360 20022\n34663 52041\n28034 42087\n81580 100000\n85821 100000\n431 657\n71050 100000\n6774 10173\n760 1143\n66686 100000\n53150 79758\n27366 41063\n7939 11910\n66298 99450\n93028 100000\n26006 39007\n35599 53442\n39860 59826\n58456 87728\n79705 100000\n62140 93222\n28216 42364\n92081 100000\n86869 100000\n9620 14388\n9838 14716\n68542 100000\n52977 79500\n9589 14346\n99665 100000\n68773 100000\n6408 9625\n10537 15756\n13012 19499\n53209 79839\n4727 7107\n78331 100000\n95098 100000\n22157 33282\n315 479\n19056 28588\n20912 31386\n61456 92191\n23476 35244\n71758 100000\n76366 100000\n70894 100000\n38554 57855\n86200 100000\n52424 78666\n59623 89466\n48768 73241\n98323 100000\n36434 54676\n87920 100000\n41123 61739\n21076 31629\n7670 11518\n38306 57478\n89367 100000\n18053 27082\n98944 100000\n70863 100000\n43612 65497\n69976 100000\n78000 100000\n96830 100000\n1447 2165\n41167 61804\n42385 63664\n58016 87034\n33545 50363\n29656 44514\n34319 51532\n97314 100000\n39602 59439\n55098 82653\n75630 100000\n57742 86618\n54478 81733\n42043 63138\n19124 28695\n81070 100000\n71153 100000\n94960 100000\n5806 8729\n86977 100000\n32886 49373\n88195 100000\n73150 100000\n26408 39626\n9813 14679\n20605 30937\n72695 100000\n99819 100000\n83364 100000\n33620 50469\n56195 84312\n71011 100000\n62220 93343\n57547 86328\n23094 34675\n92667 100000\n5 7\n717 1080\n73341 100000\n90794 100000\n9269 13875\n14906 22312\n9459 14160\n33662 50535\n47742 71704\n82368 100000\n1807 2712\n45937 68973\n16559 24809\n35017 52572\n22463 33728\n73786 100000\n70973 100000\n56776 85177\n29443 44197\n68559 100000\n49316 74050\n22976 34494\n2414 3625\n20625 30961\n67239 100000\n76665 100000\n26082 39122\n77943 100000\n56786 85190\n5091 7647\n52868 79343\n61759 92641\n26305 39467\n62344 93528\n84811 100000\n21702 32583\n13013 19501\n99499 100000\n11846 17743\n48340 72588\n10672 15966\n53404 80129\n11177 16731\n54124 81215\n72671 100000\n71262 100000\n11723 17553\n41022 61578\n89487 100000\n43295 65036\n32236 48398\n60871 91316\n6393 9599\n59868 89830\n41812 62793\n60332 90517\n20473 30731\n5881 8844\n53802 80733\n36069 54137\n97821 100000\n37017 55552\n87039 100000\n67288 100000\n50833 76293\n85799 100000\n34947 52468\n23054 34616\n53995 81024\n95275 100000\n89727 100000\n8898 13322\n1427 2133\n45597 68460\n45719 68644\n19494 29257\n79056 100000\n47739 71700\n4835 7261\n15555 23297\n3793 5709\n59609 89444\n88043 100000\n43429 65232\n66879 100000\n80840 100000\n75445 100000\n47729 71685\n78774 100000\n84662 100000\n63703 95550\n84201 100000\n84331 100000\n37352 56053\n16534 24771\n93658 100000\n68460 100000\n91362 100000\n48353 72607\n7726 11604\n7955 11936\n56536 84827\n78291 100000\n12386 18550\n78334 100000\n7637 11472\n27529 41319\n86982 100000\n2677 4018\n79254 100000\n74701 100000\n74663 100000\n90802 100000\n6345 9530\n37452 56205\n2552 3830\n88001 100000\n36263 54420\n34242 51411\n67080 100000\n69377 100000\n6384 9588\n67575 100000\n47718 71669\n18107 27166\n51420 77162\n34705 52104\n38430 57666\n96349 100000\n81204 100000\n977 1461\n51043 76604\n6679 10030\n71021 100000\n35335 53046\n5001 7516\n71820 100000\n49808 74775\n70700 100000\n97286 100000\n81319 100000\n47852 71868\n10526 15741\n20313 30482\n99506 100000\n93705 100000\n24591 36925\n10121 15136\n53727 80620\n10634 15908\n49367 74119\n65755 98636\n818 1230\n68235 100000\n22104 33204\n52283 78453\n38052 57105\n59695 89578\n56222 84347\n52951 79466\n84546 100000\n20906 31377\n34200 51353\n26779 40180\n71702 100000\n2920 4392\n95835 100000\n66271 99411\n45219 67897\n56484 84746\n34776 52213\n77483 100000\n25099 37678\n30465 45743\n39661 59525\n95722 100000\n47909 71955\n68443 100000\n67356 100000\n97885 100000\n73549 100000\n97090 100000\n24046 36101\n62554 93852\n30346 45557\n92150 100000\n54563 81851\n34095 51209\n48905 73443\n35329 53036\n69220 100000\n60412 90642\n1977 2964\n36561 54867\n39153 58763\n58211 87349\n62981 94476\n74557 100000\n50257 75432\n927 1393\n84035 100000\n58544 87859\n92508 100000\n60094 90173\n35812 53753\n14825 22194\n98447 100000\n17962 26951\n98557 100000\n19563 29363\n92636 100000\n77482 100000\n27289 40947\n44700 67115\n59078 88654\n36864 55312\n12672 18987\n89329 100000\n38617 57949\n62329 93506\n10654 15935\n54925 82386\n64281 96424\n23717 35600\n45810 68779\n73943 100000\n24023 36070\n47642 71554\n12574 18841\n3499 5268\n15982 23929\n15314 22931\n61111 91674\n3867 5823\n36711 55084\n85848 100000\n27655 41503\n1623 2428\n3008 4524\n96666 100000\n89159 100000\n8323 12481\n10153 15183\n72641 100000\n25289 37963\n51258 76921\n61377 92070\n8237 12356\n52804 79250\n60532 90815\n46424 69726\n23085 34660\n52777 79210\n21916 32923\n53310 79984\n8587 12865\n28691 43075\n57698 86554\n87472 100000\n45152 67801\n40243 60391\n91689 100000\n95628 100000\n97128 100000\n97835 100000\n11989 17966\n86282 100000\n25487 38240\n6055 9096\n91121 100000\n30209 45353\n42520 63867\n28685 43065\n32614 48965\n20508 30788\n70586 100000\n95801 100000\n31605 47452\n95624 100000\n70045 100000\n56700 85070\n72057 100000\n65760 98643\n34348 51571\n69381 100000\n40732 61140\n85303 100000\n18541 27828\n41004 61551\n55227 82851\n14907 22314\n8846 13242\n41375 62127\n13712 20520\n33983 51035\n86474 100000\n172 263\n52709 79098\n49047 73656\n87438 100000\n60462 90713\n56169 84274\n79988 100000\n60211 90344\n26743 40123\n50331 75545\n42230 63418\n53800 80731\n34613 51959\n51312 76996\n1615 2415\n43820 65805\n50345 75567\n61959 92941\n17043 25546\n10874 16279\n59553 89363\n90556 100000\n75156 100000\n63278 94915\n83873 100000\n35052 52622\n61074 91613\n68223 100000\n62847 94287\n89302 100000\n69230 100000\n78118 100000\n1322 1961\n83551 100000\n57539 86317\n69900 100000\n65795 98695\n63877 95807\n60197 90326\n9469 14177\n35327 53033\n77909 100000\n82248 100000\n49061 73677\n40413 60649\n93266 100000\n2489 3733\n37955 56968\n97071 100000\n40190 60313\n38983 58507\n27839 41783\n83577 100000\n41850 62849\n74754 100000\n92018 100000\n7185 10788\n20630 30967\n3491 5257\n2085 3124\n66472 99711\n88705 100000\n31982 48018\n73228 100000\n70027 100000\n7012 10526\n19538 29328\n89081 100000\n58326 87530\n90373 100000\n93994 100000\n84688 100000\n61786 92679\n69181 100000\n3533 5320\n27214 40838\n76197 100000\n60079 90151\n48813 73306\n36842 55277\n89409 100000\n99235 100000\n90651 100000\n67892 100000\n89908 100000\n91369 100000\n6471 9718\n8754 13109\n19078 28625\n46689 70125\n88999 100000\n35383 53116\n15471 23179\n70302 100000\n75559 100000\n24017 36060\n5508 8285\n34547 51863\n59596 89427\n39220 58863\n80595 100000\n19164 28756\n8626 12919\n38800 58235\n92200 100000\n1557 2327\n23144 34751\n15932 23848\n24098 36182\n76521 100000\n64146 96221\n89652 100000\n53204 79832\n30270 45448\n92805 100000\n82009 100000\n97616 100000\n71095 100000\n80902 100000\n39888 59874\n1979 2967\n11570 17316\n7100 10658\n3722 5602\n96344 100000\n17535 26303\n34587 51924\n11752 17597\n28942 43455\n39737 59644\n51623 77471\n34678 52065\n94417 100000\n56438 84681\n90785 100000\n23808 35736\n80873 100000\n83517 100000\n96892 100000\n33978 51028\n92543 100000\n26148 39220\n63961 95941\n87197 100000\n30810 46262\n47793 71777\n96430 100000\n92285 100000\n79006 100000\n42541 63899\n57913 86882\n72167 100000\n3909 5890\n32398 48642\n61711 92570\n49063 73680\n39465 59233\n4628 6962\n57593 86396\n64179 96266\n28579 42906\n9097 13614\n77712 100000\n58567 87896\n19418 29139\n81606 100000\n62425 93653\n85270 100000\n75847 100000\n43046 64666\n71974 100000\n75029 100000\n46224 69410\n99983 100000\n8552 12812\n52706 79093\n55778 83680\n21617 32452\n21987 33026\n40015 60055\n53364 80063\n51305 76985\n39274 58943\n31409 47160\n50187 75326\n65492 98242\n27228 40858\n3859 5810\n84262 100000\n63643 95459\n61921 92885\n93972 100000\n76026 100000\n12149 18195\n86668 100000\n59281 88959\n30312 45507\n66627 99928\n15092 22594\n22730 34125\n96942 100000\n78679 100000\n39887 59872\n1794 2694\n93228 100000\n51046 76608\n33214 49856\n76413 100000\n6589 9894\n41674 62580\n50155 75278\n84938 100000\n89937 100000\n94787 100000\n56242 84377\n14727 22043\n48056 72173\n81491 100000\n95667 100000\n44931 67472\n59359 89076\n25460 38202\n50874 76350\n53463 80221\n96843 100000\n30729 46141\n22764 34173\n69029 100000\n75226 100000\n68298 100000\n94544 100000\n30962 46495\n2740 4117\n61435 92159\n94487 100000\n73223 100000\n68668 100000\n95112 100000\n87541 100000\n65945 98925\n65197 97793\n25014 37559\n4809 7224\n25306 37986\n18401 27615\n29761 44667\n84419 100000\n32012 48062\n4780 7185\n67849 100000\n24561 36881\n59272 88944\n37905 56890\n33185 49814\n21826 32780\n75024 100000\n62384 93590\n3981 6002\n40316 60502\n57497 86258\n50469 75739\n95540 100000\n34923 52432\n35755 53664\n68766 100000\n13378 20048\n61584 92387\n67544 100000\n73363 100000\n9593 14352\n34552 51870\n18006 27012\n86075 100000\n35840 53795\n18316 27482\n78 119\n96671 100000\n58606 87956\n46431 69737\n71361 100000\n65877 98824\n3543 5334\n22272 33455\n91068 100000\n10144 15172\n87633 100000\n28849 43312\n97864 100000\n64644 96966\n56428 84663\n71468 100000\n46401 69690\n13072 19589\n534 806\n50560 75877\n62827 94255\n22694 34072\n19867 29812\n10719 16039\n17793 26698\n72746 100000\n39279 58951\n84259 100000\n95280 100000\n40389 60614\n25457 38198\n21334 32018\n24876 37349\n37691 56568\n75241 100000\n65648 98474\n44883 67399\n89337 100000\n3152 4739\n56591 84907\n65024 97533\n21073 31623\n21206 31823\n76304 100000\n55166 82762\n14070 21058\n68814 100000\n43011 64612\n84560 100000\n39967 59983\n69096 100000\n50336 75553\n19990 29986\n14730 22047\n11761 17610\n30847 46321\n82230 100000\n44637 67026\n97839 100000\n55683 83537\n50524 75820\n4493 6759\n10297 15397\n70401 100000\n56243 84379\n92489 100000\n44995 67572\n40090 60164\n11128 16658\n73182 100000\n21628 32469\n12094 18112\n85225 100000\n80160 100000\n58657 88040\n14505 21711\n65896 98850\n51751 77664\n81954 100000\n13299 19928\n9908 14819\n49689 74598\n81738 100000\n66479 99723\n22856 34310\n59851 89809\n20649 30995\n53304 79976\n6271 9420\n71286 100000\n68200 100000\n23008 34543\n10785 16144\n66473 99713\n53830 80777\n28964 43488\n37814 56754\n5616 8453\n51401 77131\n95905 100000\n57950 86939\n67270 100000\n30137 45242\n34277 51465\n86525 100000\n440 668\n63111 94673\n33269 49944\n69320 100000\n99267 100000\n99304 100000\n53002 79537\n43766 65728\n81736 100000\n45778 68731\n9232 13822\n18992 28498\n36103 54185\n98510 100000\n20119 30181\n3535 5322\n25451 38189\n16388 24535\n88754 100000\n3157 4746\n45695 68607\n81679 100000\n27809 41741\n32031 48092\n78993 100000\n60793 91200\n93112 100000\n49330 74069\n98588 100000\n49211 73903\n6561 9853\n12359 18510\n55199 82810\n63969 95954\n57452 86183\n42986 64576\n44134 66281\n10551 15776\n33162 49783\n89059 100000\n52334 78528\n97014 100000\n76146 100000\n91711 100000\n52863 79336\n53532 80329\n68597 100000\n46623 70028\n48198 72376\n83766 100000\n32141 48257\n82088 100000\n71206 100000\n54287 81459\n92332 100000\n80883 100000\n59450 89213\n73181 100000\n17101 25634\n16770 25126\n15096 22601\n61968 92954\n15077 22572\n4903 7371\n90222 100000\n16024 23991\n90558 100000\n76946 100000\n72655 100000\n68885 100000\n72339 100000\n15379 23030\n56112 84182\n57607 86420\n52635 78986\n85340 100000\n6866 10311\n93305 100000\n93508 100000\n19522 29302\n7279 10931\n64812 97216\n52101 78192\n19131 28705\n61101 91657\n49804 74769\n60153 90259\n28929 43435\n32077 48162\n30932 46448\n51856 77823\n79938 100000\n64108 96162\n76888 100000\n48689 73126\n10376 15513\n70668 100000\n56446 84693\n55984 83990\n37615 56458\n90510 100000\n77254 100000\n77826 100000\n85850 100000\n54075 81140\n23130 34729\n35404 53144\n79715 100000\n42943 64507\n87692 100000\n9489 14207\n85478 100000\n97862 100000\n77995 100000\n66509 99760\n16045 24026\n42382 63660\n38340 57530\n75013 100000\n73993 100000\n40528 60822\n8215 12326\n46479 69811\n88911 100000\n544 821\n20279 30432\n19443 29178\n88149 100000\n7152 10734\n2164 3244\n13988 20938\n78477 100000\n94516 100000\n83881 100000\n31320 47023\n64901 97349\n73527 100000\n39327 59025\n13320 19959\n48646 73060\n22550 33864\n61552 92342\n45573 68423\n46382 69659\n69983 100000\n9068 13571\n338 515\n23774 35684\n84828 100000\n93801 100000\n1564 2340\n9390 14055\n13741 20562\n43422 65224\n13983 20930\n27456 41201\n57167 85766\n13856 20735\n81829 100000\n73455 100000\n85485 100000\n21821 32771\n16661 24968\n1082 1613\n57916 86887\n51747 77657\n43839 65837\n57881 86837\n58129 87221\n49581 74441\n1613 2412\n78128 100000\n75073 100000\n55919 83890\n6904 10367\n95985 100000\n84409 100000\n23501 35282\n58043 87076\n20121 30185\n8033 12051\n38062 57119\n27653 41500\n55992 84001\n67040 100000\n62850 94292\n51015 76559\n67688 100000\n8909 13341\n84143 100000\n97054 100000\n17911 26880\n58459 87733\n1664 2493\n71274 100000\n56618 84951\n45802 68767\n67747 100000\n42930 64488\n44430 66726\n74221 100000\n27812 41745\n66786 100000\n78647 100000\n90848 100000\n81371 100000\n95120 100000\n40377 60599\n90871 100000\n46915 70458\n34343 51565\n27303 40969\n88622 100000\n33531 50338\n3252 4890\n55815 83731\n9728 14548\n43147 64817\n5362 8056\n92343 100000\n35237 52900\n28726 43120\n21646 32501\n59660 89525\n45016 67603\n81838 100000\n93184 100000\n65947 98929\n72315 100000\n77801 100000\n57142 85727\n34139 51265\n52836 79297\n48302 72532\n26462 39703\n80003 100000\n86253 100000\n44306 66541\n14261 21349\n23235 34885\n96683 100000\n30306 45499\n96917 100000\n84867 100000\n8667 12981\n19082 28629\n14753 22084\n76706 100000\n95950 100000\n98349 100000\n754 1135\n44534 66878\n19995 29993\n87174 100000\n77425 100000\n65651 98478\n34291 51487\n5052 7589\n26549 39834\n32767 49195\n45533 68369\n15031 22503\n4312 6489\n89579 100000\n41473 62274\n71285 100000\n70088 100000\n26529 39801\n42830 64340\n131 200\n60380 90597\n20830 31258\n63858 95776\n8181 12272\n76288 100000\n84131 100000\n83015 100000\n1470 2201\n42415 63712\n88186 100000\n92369 100000\n89088 100000\n10289 15384\n57536 86312\n99334 100000\n31862 47839\n610 922\n37155 55748\n27571 41382\n44042 66142\n80508 100000\n56055 84099\n81607 100000\n89786 100000\n63357 95032\n38303 57473\n39423 59167\n77143 100000\n18605 27923\n6542 9827\n46662 70087\n90151 100000\n61222 91838\n33086 49666\n67204 100000\n98542 100000\n27467 41220\n45665 68559\n43725 65667\n65491 98240\n59519 89315\n13886 20781\n13558 20307\n30785 46224\n32299 48495\n56906 85371\n34523 51829\n95072 100000\n77940 100000\n49782 74734\n40615 60956\n59483 89259\n81520 100000\n19070 28611\n7537 11323\n44360 66624\n99783 100000\n25108 37692\n55186 82792\n12474 18688\n39151 58760\n6936 10416\n39450 59209\n18351 27534\n55363 83049\n54590 81890\n99907 100000\n47845 71856\n90642 100000\n63231 94846\n27464 41214\n17992 26992\n86512 100000\n27445 41185\n73028 100000\n45201 67869\n27838 41782\n91920 100000\n87731 100000\n3371 5073\n20002 30004\n75729 100000\n72467 100000\n37238 55882\n78998 100000\n76334 100000\n40023 60068\n46081 69188\n19507 29277\n93535 100000\n87221 100000\n88637 100000\n65602 98404\n6765 10158\n64741 97111\n83425 100000\n7568 11365\n50764 76186\n67776 100000\n74793 100000\n88666 100000\n66263 99401\n43919 65958\n96717 100000\n37748 56653\n37434 56180\n76002 100000\n61320 91986\n69291 100000\n31518 47318\n56464 84720\n93966 100000\n10421 15581\n75426 100000\n9603 14366\n20849 31287\n68708 100000\n70446 100000\n84063 100000\n34029 51107\n73878 100000\n39677 59548\n17766 26661\n50215 75364\n81777 100000\n25188 37814\n12914 19352\n69799 100000\n29862 44821\n62298 93460\n24779 37206\n13877 20767\n10073 15061\n77707 100000\n90808 100000\n11088 16600\n75450 100000\n73472 100000\n72876 100000\n98829 100000\n97817 100000\n44287 66514\n18553 27845\n47672 71600\n51154 76766\n72504 100000\n98478 100000\n48554 72917\n31313 47012\n96004 100000\n90750 100000\n57194 85806\n34089 51201\n30698 46097\n45278 67982\n2858 4287\n29112 43709\n81355 100000\n85870 100000\n66991 100000\n45321 68045\n93269 100000\n45727 68656\n67466 100000\n61040 91562\n93194 100000\n53836 80786\n31742 47649\n33406 50146\n71260 100000\n11445 17130\n74500 100000\n37387 56106\n16358 24493\n10254 15331\n42928 64485\n28667 43039\n32306 48507\n76436 100000\n99389 100000\n11738 17575\n82616 100000\n25811 38716\n28241 42401\n74576 100000\n11728 17561\n47820 71820\n29907 44888\n38435 57673\n10138 15164\n46864 70385\n67560 100000\n44258 66470\n49549 74399\n94840 100000\n89435 100000\n80202 100000\n43686 65610\n98530 100000\n6754 10141\n1822 2735\n62878 94331\n69462 100000\n30138 45243\n99227 100000\n47129 70784\n40548 60854\n86294 100000\n86962 100000\n285 428\n23591 35414\n51171 76788\n76815 100000\n54158 81265\n3459 5214\n23244 34898\n28769 43187\n10596 15848\n20727 31104\n34753 52177\n5719 8603\n91207 100000\n89145 100000\n83131 100000\n45143 67786\n74892 100000\n99788 100000\n32805 49252\n38657 58009\n42778 64262\n88813 100000\n45901 68920\n62683 94041\n70821 100000\n74199 100000\n68501 100000\n20759 31151\n90126 100000\n39099 58679\n88627 100000\n7242 10878\n87474 100000\n59344 89053\n12546 18800\n36731 55113\n37755 56663\n44149 66306\n39930 59932\n39878 59855\n41169 61807\n14327 21445\n22899 34377\n73770 100000\n88963 100000\n49600 74469\n1422 2126\n29023 43578\n36383 54601\n27205 40823\n67775 100000\n44052 66158\n14135 21162\n25527 38301\n16629 24920\n91538 100000\n38326 57510\n29635 44484\n64161 96242\n31668 47536\n81342 100000\n54189 81309\n59881 89852\n41127 61745\n2398 3598\n98711 100000\n58177 87292\n14948 22375\n86924 100000\n89994 100000\n20230 30356\n60218 90354\n80674 100000\n53776 80697\n1743 2615\n70197 100000\n18267 27406\n85920 100000\n30904 46408\n62629 93960\n10863 16261\n71511 100000\n64062 96097\n68684 100000\n16285 24388\n30095 45172\n60585 90895\n81639 100000\n58713 88122\n88967 100000\n1784 2679\n73081 100000\n72126 100000\n36848 55286\n99442 100000\n42792 64285\n1978 2966\n53165 79778\n81536 100000\n6272 9421\n36645 54989\n68549 100000\n63368 95048\n29873 44838\n98747 100000\n70531 100000\n56139 84224\n58440 87700\n12031 18029\n74593 100000\n24904 37393\n66667 99987\n1087 1619\n50044 75109\n74773 100000\n48350 72603\n41432 62213\n85108 100000\n3578 5387\n83806 100000\n11781 17640\n96186 100000\n93379 100000\n60489 90755\n51169 76785\n73035 100000\n54489 81748\n37677 56547\n2404 3608\n65481 98227\n72605 100000\n79467 100000\n77495 100000\n63506 95255\n45411 68179\n32211 48359\n69125 100000\n79791 100000\n94702 100000\n84650 100000\n10630 15902\n86954 100000\n39959 59973\n32929 49435\n49906 74916\n55780 83683\n50806 76250\n1187 1767\n11551 17287\n4955 7449\n42819 64327\n53667 80528\n22327 33530\n89697 100000\n91192 100000\n65290 97937\n16697 25021\n95841 100000\n21074 31625\n53264 79918\n49537 74380\n66619 99918\n77429 100000\n57919 86892\n17447 26174\n37999 57033\n19477 29231\n51027 76580\n77016 100000\n62869 94319\n49992 75038\n97547 100000\n56588 84902\n87999 100000\n46534 69894\n89294 100000\n24808 37247\n87833 100000\n10314 15421\n1356 2019\n83596 100000\n67779 100000\n61462 92200\n21732 32630\n58213 87353\n58258 87423\n16973 25443\n52121 78221\n82430 100000\n35638 53497\n66632 99937\n24469 36738\n9805 14668\n57029 85570\n74847 100000\n83976 100000\n88529 100000\n73523 100000\n25184 37808\n32695 49083\n88554 100000\n78495 100000\n57092 85659\n89490 100000\n31379 47112\n67070 100000\n18922 28387\n34064 51162\n50417 75665\n27835 41778\n91005 100000\n97129 100000\n62315 93486\n91784 100000\n94400 100000\n36476 54738\n44584 66947\n96769 100000\n60335 90522\n23998 36029\n8189 12287\n90440 100000\n51842 77800\n41569 62421\n29803 44727\n40468 60730\n93400 100000\n32661 49036\n98433 100000\n13110 19643\n96633 100000\n21605 32430\n60976 91468\n41542 62380\n30355 45571\n84554 100000\n80249 100000\n85880 100000\n22035 33099\n93623 100000\n18919 28383\n85922 100000\n8255 12382\n70260 100000\n51182 76805\n50682 76054\n7519 11295\n76937 100000\n13114 19648\n4924 7400\n71590 100000\n91119 100000\n33951 50985\n38931 58424\n47957 72022\n45742 68679\n30941 46459\n83936 100000\n24985 37518\n12091 18109\n83448 100000\n78637 100000\n96052 100000\n76816 100000\n65239 97854\n49001 73589\n96516 100000\n55231 82858\n17468 26205\n7535 11320\n53398 80120\n29609 44442\n51269 76938\n87770 100000\n89355 100000\n16677 24989\n66839 100000\n34186 51332\n1608 2407\n76111 100000\n73290 100000\n32750 49168\n6531 9810\n56841 85274\n89940 100000\n70337 100000\n84918 100000\n14938 22360\n37526 56316\n67114 100000\n75219 100000\n89613 100000\n13465 20169\n13380 20051\n26032 39047\n30580 45919\n13147 19696\n45204 67873\n74886 100000\n73149 100000\n93890 100000\n80117 100000\n10581 15825\n31152 46779\n99186 100000\n16680 24994\n25893 38829\n47593 71478\n83179 100000\n73582 100000\n45433 68215\n74547 100000\n40205 60334\n64613 96921\n21066 31611\n43306 65054\n17302 25953\n70438 100000\n64614 96922\n33428 50176\n96834 100000\n24732 37131\n60682 91039\n76134 100000\n98142 100000\n33928 50949\n18043 27069\n9903 14813\n81840 100000\n75249 100000\n15995 23949\n24550 36864\n74894 100000\n76855 100000\n63064 94600\n67086 100000\n81965 100000\n46170 69324\n79731 100000\n43868 65878\n48249 72446\n68890 100000\n97866 100000\n14110 21121\n97308 100000\n44836 67323\n55651 83495\n62063 93104\n18490 27746\n36369 54581\n59532 89333\n71493 100000\n55442 83177\n33485 50268\n43435 65240\n21927 32938\n45531 68366\n75357 100000\n46254 69456\n32917 49417\n71971 100000\n59139 88741\n78714 100000\n9696 14501\n38537 57830\n99700 100000\n54315 81503\n64241 96358\n78169 100000\n67025 100000\n25275 37946\n49212 73905\n13177 19744\n12605 18888\n25150 37756\n30691 46089\n9239 13832\n1064 1590\n8118 12172\n99663 100000\n9229 13818\n55503 83269\n54259 81417\n63585 95375\n53318 79996\n6270 9418\n87564 100000\n73036 100000\n90414 100000\n74084 100000\n20657 31005\n60613 90939\n88332 100000\n94538 100000\n22083 33170\n9564 14309\n3198 4811\n89845 100000\n80336 100000\n63621 95427\n27993 42023\n2115 3168\n54997 82495\n10433 15601\n55062 82592\n97077 100000\n3025 4549\n92618 100000\n9435 14128\n63172 94761\n72703 100000\n54624 81938\n55967 83962\n90706 100000\n60139 90239\n67974 100000\n63664 95491\n79366 100000\n35476 53255\n6297 9463\n61574 92374\n20790 31201\n35123 52724\n34771 52204\n2353 3535\n75684 100000\n81033 100000\n77235 100000\n87530 100000\n87946 100000\n7539 11326\n3230 4860\n70982 100000\n25731 38595\n83820 100000\n74193 100000\n23383 35102\n97712 100000\n87207 100000\n35338 53051\n92743 100000\n69661 100000\n78351 100000\n45078 67693\n49688 74596\n43532 65378\n26111 39162\n12412 18593\n20866 31314\n40385 60610\n33430 50179\n10563 15795\n51397 77126\n66057 99088\n26526 39796\n19865 29810\n32993 49531\n65384 98078\n29933 44925\n55740 83624\n64725 97090\n28516 42813\n21960 32986\n97036 100000\n93840 100000\n43961 66019\n10469 15653\n37096 55667\n75875 100000\n68706 100000\n38001 57036\n33770 50702\n88267 100000\n8121 12175\n8164 12244\n28594 42930\n4831 7255\n29236 43898\n61124 91692\n85287 100000\n7327 11005\n63803 95696\n655 995\n43908 65941\n36807 55224\n80461 100000\n53408 80134\n57023 85560\n71875 100000\n46751 70216\n31496 47289\n31649 47509\n581 877\n76350 100000\n55158 82750\n42566 63934\n57159 85753\n41068 61648\n47565 71438\n43658 65564\n62700 94070\n68405 100000\n51875 77851\n72890 100000\n68561 100000\n52326 78516\n94979 100000\n51659 77530\n1539 2303\n57974 86973\n63347 95017\n84657 100000\n35515 53311\n52447 78703\n39307 58991\n85208 100000\n98084 100000\n45985 69044\n11442 17125\n56819 85241\n7858 11796\n259 391\n56587 84901\n15621 23393\n52980 79504\n25817 38726\n93252 100000\n61753 92632\n87874 100000\n58292 87473\n43317 65072\n10819 16189\n76664 100000\n91682 100000\n42601 63988\n93664 100000\n79872 100000\n82415 100000\n67517 100000\n48729 73186\n79631 100000\n30398 45636\n66127 99198\n29196 43837\n71277 100000\n30205 45346\n75105 100000\n41086 61677\n25152 37760\n33557 50379\n27892 41868\n24801 37236\n57374 86066\n477 722\n52435 78682\n59486 89265\n21850 32817\n57940 86923\n97830 100000\n50818 76269\n2284 3427\n10449 15625\n38483 57744\n17359 26040\n23342 35044\n91634 100000\n84149 100000\n23277 34947\n49506 74335\n1176 1751\n71343 100000\n41841 62838\n13799 20647\n66684 100000\n96114 100000\n50550 75862\n12998 19476\n34841 52312\n82342 100000\n3253 4891\n57158 85751\n75870 100000\n16893 25319\n74293 100000\n41407 62178\n30618 45976\n92281 100000\n32151 48270\n71030 100000\n61604 92414\n25222 37867\n8818 13205\n15701 23509\n3144 4726\n85638 100000\n85036 100000\n59572 89393\n57128 85708\n62897 94357\n48968 73538\n3353 5045\n4345 6543\n26543 39824\n12946 19399\n43622 65512\n46406 69697\n5772 8679\n31916 47919\n13678 20470\n92277 100000\n90869 100000\n29056 43626\n86286 100000\n48174 72343\n95660 100000\n75651 100000\n51913 77904\n24821 37269\n95703 100000\n1871 2808\n29224 43878\n87680 100000\n3189 4797\n64477 96731\n27502 41279\n83042 100000\n88056 100000\n77541 100000\n7777 11678\n2168 3250\n77994 100000\n36719 55094\n72055 100000\n80590 100000\n15799 23654\n10517 15727\n11022 16501\n6328 9507\n16049 24033\n4252 6397\n9956 14892\n73120 100000\n8629 12923\n32298 48493\n96095 100000\n24456 36716\n20560 30863\n31891 47880\n45794 68755\n280 421\n12554 18813\n15069 22558\n42567 63935\n20706 31075\n65855 98791\n83674 100000\n41901 62928\n73518 100000\n23512 35301\n73162 100000\n67457 100000\n10117 15128\n33459 50225\n56808 85224\n68015 100000\n47289 71027\n63898 95839\n8949 13394\n26980 40477\n93770 100000\n270 408\n54666 81996\n10018 14976\n79496 100000\n46064 69161\n53603 80437\n42445 63758\n95652 100000\n88372 100000\n45308 68026\n6686 10039\n50642 75998\n5219 7839\n58070 87123\n5675 8537\n22114 33219\n85165 100000\n75285 100000\n77306 100000\n3463 5219\n5812 8738\n13667 20454\n51176 76795\n64016 96025\n71203 100000\n91861 100000\n99495 100000\n51338 77037\n60093 90172\n43203 64897\n95675 100000\n75683 100000\n79739 100000\n98676 100000\n63973 95960\n39111 58698\n58169 87280\n82297 100000\n95823 100000\n70423 100000\n21487 32247\n88203 100000\n83690 100000\n38916 58402\n36881 55338\n10176 15216\n17945 26929\n75567 100000\n49866 74861\n2104 3150\n79754 100000\n30307 45500\n25505 38267\n47404 71198\n10439 15609\n47155 70826\n57778 86676\n9069 13572\n33363 50082\n68135 100000\n1651 2472\n63924 95878\n8354 12522\n29721 44609\n78685 100000\n15206 22767\n74946 100000\n61906 92863\n3858 5809\n47312 71060\n3947 5948\n37498 56274\n14723 22035\n36764 55159\n92041 100000\n61198 91800\n64742 97112\n42207 63381\n48869 73388\n44338 66591\n87220 100000\n42099 63219\n50171 75302\n34675 52059\n99202 100000\n12395 18566\n61359 92045\n29052 43620\n98693 100000\n37992 57022\n97370 100000\n44138 66288\n77974 100000\n33111 49703\n55027 82535\n92267 100000\n65782 98678\n80188 100000\n49652 74542\n48478 72803\n51909 77900\n61090 91640\n24175 36293\n92079 100000\n90877 100000\n88690 100000\n18779 28181\n28448 42712\n14134 21161\n68444 100000\n89607 100000\n11911 17846\n80357 100000\n48403 72690\n80691 100000\n81801 100000\n67767 100000\n92003 100000\n33058 49631\n68522 100000\n27924 41917\n12468 18678\n67525 100000\n70029 100000\n75218 100000\n78096 100000\n94469 100000\n24963 37483\n2674 4013\n40 61\n60268 90421\n22369 33588\n6165 9264\n39376 59102\n43071 64699\n50311 75513\n65611 98418\n68834 100000\n30260 45433\n62861 94308\n15643 23425\n82240 100000\n33577 50408\n65125 97686\n42353 63612\n50183 75321\n80965 100000\n78300 100000\n59271 88942\n94294 100000\n53669 80532\n95692 100000\n32138 48254\n99829 100000\n88826 100000\n38048 57101\n77531 100000\n71559 100000\n94320 100000\n87595 100000\n45455 68250\n13723 20535\n9529 14266\n53095 79676\n92526 100000\n82040 100000\n50671 76040\n35818 53761\n14495 21695\n83231 100000\n20749 31135\n39747 59659\n19129 28701\n85286 100000\n72277 100000\n17692 26544\n74501 100000\n38381 57586\n87040 100000\n81227 100000\n10394 15539\n66996 100000\n16224 24292\n66447 99675\n60563 90863\n62656 94000\n85305 100000\n88297 100000\n83609 100000\n17304 25956\n73370 100000\n48149 72306\n55735 83616\n84159 100000\n24508 36801\n39361 59076\n5768 8672\n98874 100000\n93567 100000\n58807 88255\n62789 94196\n28065 42131\n80174 100000\n37486 56257\n45873 68875\n58219 87361\n29741 44640\n77985 100000\n25059 37623\n73168 100000\n25932 38891\n28343 42552\n23382 35100\n99298 100000\n34023 51098\n79794 100000\n50206 75352\n85933 100000\n47859 71878\n72413 100000\n31063 46649\n9777 14625\n74077 100000\n7036 10565\n57902 86867\n50711 76099\n20606 30939\n20851 31290\n10935 16368\n42719 64166\n64774 97161\n37968 56988\n4956 7450\n59420 89171\n98291 100000\n44658 67055\n99596 100000\n37776 56695\n21251 31888\n37752 56660\n44624 67008\n56553 84852\n64912 97367\n89176 100000\n97190 100000\n45602 68468\n63162 94750\n62264 93410\n5969 8970\n31427 47187\n32408 48658\n50965 76485\n2292 3439\n75741 100000\n15462 23165\n78827 100000\n23768 35674\n46053 69145\n68712 100000\n54336 81532\n2682 4024\n49084 73710\n34849 52322\n67933 100000\n29371 44089\n83006 100000\n17554 26328\n59670 89541\n50228 75383\n5209 7824\n80949 100000\n96865 100000\n86974 100000\n59931 89931\n53221 79854\n57938 86920\n59923 89918\n87358 100000\n33060 49633\n88779 100000\n52237 78386\n39032 58581\n39903 59896\n83998 100000\n1062 1587\n59800 89738\n13393 20068\n15137 22658\n70396 100000\n67092 100000\n54700 82048\n34790 52232\n97923 100000\n90820 100000\n19176 28774\n87113 100000\n65138 97705\n66772 100000\n28911 43407\n81419 100000\n43189 64879\n56172 84278\n14258 21344\n96679 100000\n97376 100000\n68802 100000\n67917 100000\n51417 77158\n35014 52568\n89200 100000\n80898 100000\n34692 52084\n21684 32555\n8409 12604\n8270 12403\n59884 89857\n60741 91124\n20748 31134\n76130 100000\n46152 69293\n66834 100000\n22027 33087\n25046 37603\n86222 100000\n43673 65586\n75015 100000\n2698 4052\n67146 100000\n47804 71794\n21372 32075\n29809 44735\n81076 100000\n59441 89199\n1203 1789\n54131 81224\n81065 100000\n89168 100000\n13782 20621\n54813 82217\n13061 19574\n95807 100000\n54971 82455\n4355 6557\n2823 4237\n77070 100000\n55749 83638\n28164 42282\n91303 100000\n43732 65678\n59334 89039\n21242 31876\n52135 78241\n84783 100000\n67463 100000\n6097 9162\n80106 100000\n53158 79768\n70810 100000\n5583 8399\n74686 100000\n91858 100000\n82177 100000\n70219 100000\n91383 100000\n85449 100000\n17253 25879\n49634 74521\n83312 100000\n6236 9364\n77369 100000\n46677 70109\n65394 98090\n56379 84586\n67856 100000\n34681 52068\n6775 10175\n95930 100000\n64230 96340\n57857 86798\n14964 22400\n78783 100000\n67323 100000\n90639 100000\n16439 24617\n54037 81086\n11783 17643\n57343 86020\n2558 3839\n45304 68022\n62 93\n84261 100000\n26983 40482\n40545 60850\n9595 14355\n95261 100000\n57957 86949\n22765 34175\n46825 70330\n71460 100000\n23964 35972\n15577 23331\n62272 93423\n22793 34217\n99821 100000\n59502 89288\n85548 100000\n6716 10082\n53834 80784\n99371 100000\n39572 59394\n19751 29636\n57175 85778\n49968 75001\n55482 83238\n34180 51325\n67183 100000\n21778 32704\n4082 6154\n15628 23402\n30979 46522\n73996 100000\n57404 86114\n74692 100000\n21977 33013\n25666 38503\n75282 100000\n65570 98355\n70314 100000\n39579 59406\n32900 49391\n30094 45170\n79718 100000\n81325 100000\n33947 50979\n73762 100000\n38632 57971\n92632 100000\n99864 100000\n11698 17516\n15753 23586\n62060 93099\n57696 86551\n74535 100000\n89036 100000\n4366 6575\n94382 100000\n95242 100000\n92748 100000\n85908 100000\n23803 35728\n70635 100000\n42211 63388\n94667 100000\n3503 5274\n65820 98731\n84601 100000\n50207 75353\n89070 100000\n472 715\n30586 45928\n37688 56562\n37340 56034\n40019 60061\n10909 16330\n60556 90851\n82653 100000\n41774 62737\n40783 61219\n83562 100000\n14793 22144\n37 56\n38833 58278\n29651 44508\n3067 4611\n79119 100000\n41349 62085\n96547 100000\n71074 100000\n92861 100000\n36791 55199\n17851 26786\n91643 100000\n32741 49155\n71596 100000\n28168 42288\n52451 78708\n83351 100000\n93385 100000\n41000 61546\n64879 97316\n36967 55473\n9974 14913\n7764 11662\n59875 89842\n38729 58123\n73116 100000\n15578 23333\n6925 10399\n51586 77414\n42274 63484\n30719 46129\n47189 70876\n12426 18616\n3073 4620\n57834 86764\n37439 56187\n95069 100000\n96077 100000\n47288 71026\n72153 100000\n24558 36876\n7594 11402\n85116 100000\n46410 69704\n61239 91866\n70511 100000\n18545 27835\n57351 86032\n40826 61280\n18579 27884\n75103 100000\n85542 100000\n6937 10418\n96688 100000\n62388 93598\n26335 39512\n21815 32761\n58912 88417\n98098 100000\n7527 11309\n95348 100000\n38629 57966\n14463 21648\n82010 100000\n31878 47862\n39598 59435\n80094 100000\n68539 100000\n7484 11244\n19852 29789\n52401 78631\n86278 100000\n41278 61977\n94488 100000\n88161 100000\n81339 100000\n35371 53099\n18576 27879\n22653 34011\n99317 100000\n80682 100000\n64637 96955\n36691 55053\n93190 100000\n27268 40913\n84430 100000\n80614 100000\n25902 38844\n38633 57972\n73305 100000\n42348 63605\n77405 100000\n44670 67072\n13227 19819\n14798 22151\n68658 100000\n93603 100000\n61012 91524\n89232 100000\n43920 65960\n30642 46015\n48155 72314\n89567 100000\n98700 100000\n50388 75626\n59690 89571\n36875 55327\n29840 44785\n79099 100000\n29013 43564\n74029 100000\n34149 51280\n61114 91678\n98054 100000\n81288 100000\n5544 8342\n61467 92210\n60203 90334\n74843 100000\n61095 91648\n54829 82243\n22019 33075\n51667 77544\n41870 62882\n99056 100000\n98274 100000\n22064 33141\n13151 19703\n62011 93020\n47380 71160\n83114 100000\n58969 88492\n94441 100000\n71348 100000\n73543 100000\n21496 32262\n83555 100000\n33373 50097\n5778 8688\n74642 100000\n88036 100000\n45004 67586\n69349 100000\n84872 100000\n73647 100000\n20637 30977\n8675 12993\n83516 100000\n48488 72821\n54868 82300\n61026 91543\n77225 100000\n88166 100000\n96118 100000\n59155 88766\n31179 46818\n82739 100000\n3821 5750\n37798 56730\n90819 100000\n35716 53605\n2473 3709\n11279 16884\n48372 72640\n5592 8416\n24610 36954\n55814 83729\n79538 100000\n5346 8032\n53595 80425\n32118 48223\n2778 4174\n86194 100000\n97406 100000\n11099 16617\n48103 72238\n48718 73169\n59125 88721\n27775 41690\n24256 36403\n90281 100000\n77356 100000\n63164 94752\n4036 6085\n82787 100000\n33693 50581\n54011 81049\n80197 100000\n46928 70479\n31529 47335\n75580 100000\n89280 100000\n14224 21299\n90262 100000\n50259 75434\n51798 77740\n2434 3651\n75364 100000\n85715 100000\n41497 62314\n41548 62390\n58315 87512\n16520 24745\n22997 34528\n27757 41660\n91494 100000\n85894 100000\n67686 100000\n49082 73708\n34895 52392\n62643 93980\n13942 20866\n30738 46156\n2730 4102\n94193 100000\n98659 100000\n15199 22755\n45615 68489\n47882 71913\n70848 100000\n68937 100000\n12161 18211\n6760 10152\n76440 100000\n78999 100000\n51952 77965\n94581 100000\n4936 7417\n88360 100000\n80004 100000\n90398 100000\n86686 100000\n9619 14387\n21832 32789\n22391 33618\n83393 100000\n61366 92054\n83626 100000\n99135 100000\n53652 80508\n92423 100000\n83283 100000\n60708 91075\n99123 100000\n26179 39272\n79059 100000\n77738 100000\n57546 86326\n14992 22446\n84053 100000\n93591 100000\n94159 100000\n61616 92431\n40072 60141\n23171 34792\n80900 100000\n24615 36961\n99249 100000\n69303 100000\n2578 3868\n61838 92761\n13628 20399\n69891 100000\n66295 99446\n81447 100000\n68818 100000\n82396 100000\n4370 6582\n35950 53959\n97700 100000\n91575 100000\n10854 16247\n47329 71083\n39992 60017\n61317 91981\n70180 100000\n80310 100000\n65474 98216\n81023 100000\n72487 100000\n82614 100000\n73954 100000\n87685 100000\n60666 91013\n60995 91497\n76213 100000\n66985 100000\n66190 99297\n78184 100000\n40111 60198\n47268 70994\n79900 100000\n41552 62396\n76343 100000\n6855 10295\n96733 100000\n67390 100000\n73961 100000\n97486 100000\n67757 100000\n53105 79690\n10150 15180\n79644 100000\n91311 100000\n75167 100000\n82627 100000\n74428 100000\n13192 19768\n92882 100000\n22128 33242\n55432 83162\n52126 78227\n16284 24387\n97758 100000\n10906 16327\n1275 1892\n30770 46204\n55115 82679\n1015 1520\n14523 21736\n65702 98557\n3889 5856\n60036 90088\n96750 100000\n83203 100000\n3748 5639\n6673 10020\n62129 93203\n13146 19694\n50687 76062\n11423 17092\n58049 87087\n72844 100000\n12141 18183\n8356 12525\n71275 100000\n10243 15314\n93775 100000\n84962 100000\n87661 100000\n33275 49954\n67719 100000\n47077 70707\n13157 19712\n54907 82358\n2038 3052\n51229 76873\n88920 100000\n51440 77190\n83428 100000\n52158 78276\n16363 24501\n59265 88933\n33475 50249\n19382 29079\n91632 100000\n28795 43224\n62006 93011\n61318 91983\n64553 96833\n50442 75703\n55615 83439\n85255 100000\n49207 73897\n76 116\n82519 100000\n55953 83940\n33617 50464\n41885 62901\n76193 100000\n50325 75535\n27405 41121\n158 240\n83454 100000\n36017 54058\n69872 100000\n25767 38655\n66461 99695\n54077 81142\n24944 37452\n69110 100000\n72946 100000\n61453 92187\n85822 100000\n51681 77562\n9748 14580\n1186 1765\n84700 100000\n12082 18098\n86076 100000\n78005 100000\n46600 69994\n98845 100000\n26565 39855\n38177 57293\n65313 97975\n47557 71427\n74970 100000\n84340 100000\n49196 73882\n89948 100000\n61769 92657\n11581 17332\n63476 95208\n32451 48727\n71411 100000\n16518 24741\n26933 40410\n36620 54952\n92280 100000\n74702 100000\n52755 79175\n30164 45281\n29416 44156\n94182 100000\n2503 3754\n65788 98687\n73760 100000\n9819 14690\n80298 100000\n56500 84772\n85294 100000\n77747 100000\n40325 60516\n85840 100000\n45724 68651\n66323 99486\n45606 68475\n59820 89766\n92580 100000\n8105 12154\n77085 100000\n33700 50592\n51536 77338\n47893 71933\n9362 14018\n53305 79978\n2207 3309\n33955 50991\n16477 24674\n43885 65908\n47509 71355\n8657 12964\n84142 100000\n94548 100000\n48253 72454\n93039 100000\n36268 54427\n58062 87110\n21666 32532\n22884 34353\n78370 100000\n62843 94279\n11062 16560\n46355 69613\n52153 78269\n75483 100000\n98018 100000\n88792 100000\n75063 100000\n72541 100000\n45025 67616\n38747 58151\n23864 35816\n19830 29759\n85047 100000\n28955 43475\n41951 62998\n54016 81058\n86129 100000\n79418 100000\n49294 74019\n54147 81249\n59554 89365\n2737 4111\n4999 7512\n46513 69863\n48487 72819\n19107 28667\n81002 100000\n58418 87666\n52696 79081\n48385 72659\n46221 69405\n4225 6355\n79885 100000\n2961 4457\n83940 100000\n64820 97227\n40261 60419\n18132 27200\n37786 56710\n53672 80535\n39380 59108\n56427 84661\n20679 31041\n29770 44678\n97570 100000\n10219 15277\n91524 100000\n60719 91092\n97466 100000\n47918 71968\n30640 46011\n165 251\n14060 21041\n6383 9586\n88146 100000\n31108 46716\n72250 100000\n53266 79921\n86724 100000\n51769 77691\n32642 49009\n24087 36163\n6076 9130\n55652 83496\n16935 25383\n63814 95712\n88891 100000\n79712 100000\n37851 56809\n90629 100000\n85289 100000\n81263 100000\n83916 100000\n1830 2748\n48803 73293\n53356 80051\n10755 16097\n67515 100000\n85182 100000\n19004 28513\n15774 23621\n55962 83955\n85063 100000\n1635 2446\n85672 100000\n93902 100000\n37885 56861\n26870 40319\n81094 100000\n6657 9998\n66283 99427\n66897 100000\n88845 100000\n70788 100000\n47047 70660\n91361 100000\n94201 100000\n64722 97086\n90950 100000\n65814 98722\n32682 49066\n6026 9049\n84021 100000\n59277 88952\n59010 88555\n97737 100000\n14243 21325\n24690 37074\n73898 100000\n46868 70391\n86066 100000\n87016 100000\n59633 89481\n97748 100000\n25820 38730\n72150 100000\n573 865\n96872 100000\n20781 31187\n97895 100000\n37216 55850\n18708 28076\n31754 47668\n812 1221\n85819 100000\n68086 100000\n22711 34098\n12718 19052\n93625 100000\n40495 60772\n93094 100000\n33037 49598\n30420 45673\n33326 50030\n71935 100000\n6563 9856\n19193 28797\n47551 71418\n60406 90634\n43492 65322\n89353 100000\n41995 63064\n54789 82182\n27760 41666\n78557 100000\n63925 95880\n50861 76332\n31494 47287\n10093 15093\n38082 57152\n11830 17718\n14158 21195\n5162 7754\n96235 100000\n6762 10154\n47110 70754\n83048 100000\n47988 72070\n69893 100000\n10108 15115\n38110 57196\n41965 63020\n19058 28591\n83760 100000\n79842 100000\n11395 17052\n72814 100000\n51118 76714\n97875 100000\n96049 100000\n79287 100000\n81535 100000\n28307 42503\n17725 26595\n49125 73777\n95406 100000\n13204 19784\n60435 90676\n65832 98752\n60906 91369\n22818 34255\n21928 32939\n641 971\n8309 12460\n90017 100000\n27129 40708\n30448 45716\n43205 64901\n34324 51540\n84084 100000\n97371 100000\n25586 38386\n6291 9454\n5737 8629\n24834 37286\n87895 100000\n73383 100000\n4213 6341\n86776 100000\n34360 51589\n29327 44027\n26469 39713\n85584 100000\n87459 100000\n27725 41611\n64406 96614\n30964 46498\n3260 4901\n98307 100000\n92929 100000\n70703 100000\n14519 21730\n21796 32733\n36669 55024\n13602 20366\n49014 73610\n67961 100000\n60589 90901\n53140 79744\n4400 6624\n56313 84484\n43841 65840\n21322 32000\n12151 18198\n62303 93467\n56279 84431\n22896 34372\n18649 27986\n33771 50703\n24387 36612\n52382 78600\n11484 17187\n76787 100000\n81196 100000\n43921 65962\n91188 100000\n2374 3564\n10441 15612\n16669 24978\n18810 28226\n55160 82753\n19217 28832\n52027 78082\n13609 20374\n73811 100000\n61942 92916\n31160 46791\n12181 18243\n94982 100000\n12793 19170\n34100 51218\n2046 3064\n9746 14576\n84174 100000\n16548 24791\n42248 63442\n14689 21986\n73356 100000\n91219 100000\n6004 9018\n98868 100000\n42932 64491\n77238 100000\n49556 74408\n62475 93727\n17832 26757\n47920 71971\n6412 9631\n36090 54164\n78923 100000\n23329 35026\n15562 23308\n69533 100000\n24890 37368\n56472 84730\n51620 77465\n33081 49660\n61777 92666\n15759 23598\n14707 22013\n84645 100000\n84741 100000\n14897 22300\n55423 83148\n68484 100000\n64883 97322\n21308 31980\n11532 17260\n82689 100000\n8013 12020\n65284 97928\n61749 92627\n78371 100000\n36254 54407\n71517 100000\n74321 100000\n19915 29881\n52813 79261\n26177 39269\n87201 100000\n69152 100000\n36493 54766\n13477 20186\n50296 75490\n75253 100000\n59729 89626\n41469 62268\n82654 100000\n78957 100000\n51841 77799\n73737 100000\n35887 53866\n94624 100000\n11060 16557\n13107 19640\n25010 37551\n82164 100000\n36363 54572\n97290 100000\n74146 100000\n25532 38307\n94403 100000\n69106 100000\n9240 13834\n89141 100000\n57252 85884\n83653 100000\n9749 14581\n26986 40485\n97679 100000\n31738 47641\n4642 6981\n87885 100000\n3933 5927\n26125 39179\n95277 100000\n68164 100000\n91101 100000\n23362 35074\n64596 96898\n58378 87606\n6719 10087\n40237 60382\n26371 39569\n20481 30745\n39629 59475\n20750 31137\n74124 100000\n42514 63859\n53922 80915\n44480 66794\n56937 85420\n88671 100000\n21004 31518\n47516 71365\n88669 100000\n5177 7774\n44756 67197\n37076 55638\n60334 90520\n24898 37383\n11217 16791\n18890 28339\n79738 100000\n86288 100000\n48484 72814\n99192 100000\n7065 10608\n58291 87471\n16597 24871\n41496 62313\n87531 100000\n54565 81854\n26574 39868\n25479 38231\n85649 100000\n51903 77892\n11589 17344\n85129 100000\n34436 51702\n94483 100000\n39601 59438\n66516 99770\n19841 29774\n46141 69276\n72280 100000\n32171 48299\n18462 27708\n33145 49756\n99947 100000\n92710 100000\n77130 100000\n5632 8474\n87362 100000\n89711 100000\n249 379\n50146 75265\n51008 76548\n50574 75897\n73156 100000\n43754 65710\n46984 70558\n11377 17028\n36207 54334\n80367 100000\n81878 100000\n72326 100000\n91596 100000\n61414 92127\n49413 74190\n4250 6394\n63290 94931\n13711 20519\n72157 100000\n99638 100000\n47634 71541\n69768 100000\n12035 18034\n30500 45797\n49194 73878\n66499 99748\n75530 100000\n33954 50990\n98690 100000\n54033 81081\n81917 100000\n99453 100000\n83034 100000\n40396 60623\n57619 86440\n43976 66041\n32239 48404\n77456 100000\n3357 5051\n44879 67392\n42650 64060\n17579 26365\n44458 66763\n58375 87601\n77894 100000\n2137 3200\n31703 47585\n1349 2006\n90570 100000\n36673 55028\n79174 100000\n55970 83967\n18850 28286\n37489 56262\n42607 63996\n25156 37765\n7524 11303\n28046 42106\n46808 70303\n61548 92335\n12640 18941\n97407 100000\n87338 100000\n8851 13250\n55908 83872\n31153 46781\n32081 48169\n99215 100000\n13216 19802\n57843 86778\n13999 20952\n70354 100000\n39146 58752\n51708 77602\n42379 63654\n37291 55964\n12489 18709\n36323 54512\n59070 88641\n7082 10632\n63764 95638\n77905 100000\n39338 59040\n12612 18898\n15329 22955\n13636 20411\n58696 88096\n19605 29425\n74001 100000\n95681 100000\n85499 100000\n44901 67423\n9257 13855\n84611 100000\n43493 65324\n19569 29370\n75550 100000\n15640 23420\n85998 100000\n96729 100000\n44795 67255\n69613 100000\n72624 100000\n20677 31038\n58976 88502\n74825 100000\n77685 100000\n93898 100000\n39987 60009\n917 1378\n42149 63297\n94943 100000\n16234 24308\n90658 100000\n26410 39628\n32536 48845\n65841 98766\n22566 33885\n54628 81944\n92922 100000\n33237 49894\n47700 71641\n29345 44055\n57430 86150\n62099 93157\n4136 6230\n19282 28927\n86265 100000\n47605 71498\n37153 55746\n65283 97926\n73508 100000\n99072 100000\n45406 68174\n17236 25849\n57259 85894\n30656 46036\n4212 6339\n46817 70317\n5922 8901\n70879 100000\n52410 78644\n42374 63644\n1196 1780\n84302 100000\n62556 93856\n7801 11714\n40686 61070\n13694 20495\n29799 44721\n81398 100000\n77701 100000\n76480 100000\n79425 100000\n10072 15059\n27463 41212\n87056 100000\n77411 100000\n37188 55806\n82112 100000\n36806 55222\n27393 41104\n77938 100000\n84691 100000\n61790 92686\n24530 36835\n1022 1530\n79424 100000\n99916 100000\n95442 100000\n52654 79017\n45354 68097\n67147 100000\n78888 100000\n61599 92408\n35104 52697\n52740 79147\n65208 97810\n16293 24399\n65137 97703\n10055 15030\n54846 82269\n64990 97486\n93663 100000\n62532 93818\n39079 58650\n63644 95461\n45023 67613\n20741 31125\n12940 19390\n24655 37021\n67467 100000\n86985 100000\n34786 52228\n19435 29165\n67973 100000\n48066 72188\n95535 100000\n3805 5728\n93579 100000\n29547 44352\n46656 70077\n64787 97180\n65518 98279\n21215 31837\n11950 17909\n37579 56403\n17041 25544\n26010 39012\n13404 20082\n90060 100000\n70632 100000\n28110 42201\n88630 100000\n19637 29471\n74963 100000\n69256 100000\n75391 100000\n83405 100000\n36250 54401\n87222 100000\n89619 100000\n38960 58469\n61485 92241\n16198 24255\n53627 80471\n34739 52155\n93214 100000\n79949 100000\n69992 100000\n12070 18082\n45145 67789\n93347 100000\n24666 37041\n99910 100000\n33832 50799\n91150 100000\n50961 76481\n22148 33269\n95976 100000\n7158 10745\n88588 100000\n56240 84375\n54532 81809\n13822 20685\n27526 41315\n2191 3283\n15646 23429\n44019 66108\n90522 100000\n636 962\n26524 39794\n75969 100000\n12925 19367\n353 537\n32147 48266\n38705 58087\n91618 100000\n13645 20423\n12601 18881\n57570 86365\n61766 92652\n89789 100000\n86792 100000\n5860 8812\n65084 97622\n37567 56382\n7001 10510\n77507 100000\n34755 52180\n13788 20631\n20404 30623\n73787 100000\n89366 100000\n29725 44615\n61818 92730\n17193 25787\n2979 4482\n62980 94475\n24106 36195\n85016 100000\n4491 6756\n93537 100000\n92396 100000\n5574 8386\n69055 100000\n7356 11049\n86053 100000\n90051 100000\n5155 7745\n95444 100000\n81871 100000\n19326 28994\n59445 89206\n83245 100000\n4747 7139\n80290 100000\n52741 79148\n94140 100000\n56686 85051\n36399 54623\n70961 100000\n83037 100000\n54247 81397\n88883 100000\n97244 100000\n19615 29440\n86182 100000\n81495 100000\n15139 22662\n3177 4775\n18925 28392\n10088 15084\n62213 93333\n98425 100000\n62523 93803\n73973 100000\n25116 37705\n42292 63510\n88247 100000\n88590 100000\n53881 80848\n96379 100000\n75850 100000\n62406 93623\n43363 65135\n26221 39337\n7518 11294\n67634 100000\n43171 64854\n59616 89455\n85446 100000\n96164 100000\n41087 61679\n96697 100000\n88930 100000\n6758 10148\n65560 98340\n39816 59757\n23340 35040\n22565 33884\n35228 52886\n187 287\n21249 31885\n45982 69040\n5896 8865\n4395 6618\n88515 100000\n33487 50270\n97254 100000\n24809 37248\n83020 100000\n51868 77840\n24790 37221\n33399 50136\n21812 32758\n36095 54174\n97145 100000\n15977 23922\n99038 100000\n34595 51935\n2442 3662\n68063 100000\n99557 100000\n30967 46503\n66929 100000\n78145 100000\n66440 99667\n48620 73021\n40351 60559\n66335 99504\n83543 100000\n9039 13529\n79426 100000\n77845 100000\n19125 28697\n98772 100000\n29143 43756\n28560 42877\n84322 100000\n70289 100000\n6302 9468\n41220 61886\n61935 92905\n77360 100000\n11720 17549\n90752 100000\n93977 100000\n96369 100000\n84937 100000\n34090 51202\n92406 100000\n42355 63615\n72795 100000\n79778 100000\n22756 34161\n58009 87023\n76139 100000\n31959 47982\n74196 100000\n76038 100000\n32836 49298\n24557 36874\n29181 43813\n76382 100000\n92601 100000\n86741 100000\n72483 100000\n28270 42447\n32297 48491\n98775 100000\n17638 26461\n83061 100000\n12030 18028\n71191 100000\n58974 88498\n90071 100000\n61760 92643\n4049 6107\n99057 100000\n59392 89125\n45044 67644\n52474 78743\n9625 14397\n78129 100000\n10136 15161\n33493 50278\n31522 47324\n10050 15021\n88472 100000\n53154 79763\n5133 7712\n76903 100000\n60230 90372\n82317 100000\n52007 78051\n91239 100000\n45182 67843\n72175 100000\n20495 30766\n82666 100000\n7156 10741\n26151 39225\n63893 95831\n80958 100000\n4812 7228\n59151 88759\n75186 100000\n74643 100000\n91731 100000\n77424 100000\n18918 28381\n98507 100000\n54485 81743\n75538 100000\n74743 100000\n44813 67286\n85701 100000\n72087 100000\n40819 61269\n50692 76069\n42081 63192\n1009 1512\n49723 74648\n2938 4420\n47646 71561\n27180 40782\n62609 93934\n76344 100000\n57130 85711\n49606 74480\n21235 31866\n17888 26841\n31006 46562\n22852 34306\n83484 100000\n34473 51754\n7652 11493\n64092 96141\n63597 95394\n9150 13697\n29449 44205\n58003 87014\n51661 77533\n22779 34196\n9503 14228\n57973 86972\n37129 55713\n23195 34825\n68547 100000\n74157 100000\n66802 100000\n19938 29918\n90506 100000\n1042 1557\n90679 100000\n37907 56894\n54181 81297\n48867 73386\n73749 100000\n65987 98989\n79899 100000\n53030 79579\n44656 67052\n24728 37125\n96747 100000\n73679 100000\n58537 87847\n20634 30972\n46068 69167\n22615 33961\n30924 46437\n31411 47164\n48943 73505\n47425 71230\n46314 69545\n88389 100000\n70240 100000\n27244 40883\n18385 27588\n32309 48511\n77604 100000\n5630 8471\n7910 11871\n13257 19866\n44766 67212\n42507 63850\n10504 15707\n42393 63675\n51980 78009\n39685 59561\n29769 44676\n81724 100000\n43735 65683\n70720 100000\n78033 100000\n63358 95033\n69278 100000\n55869 83813\n87929 100000\n35678 53553\n57161 85756\n28184 42315\n8835 13228\n83460 100000\n45816 68787\n80836 100000\n13188 19762\n7016 10534\n31963 47988\n71071 100000\n95726 100000\n80771 100000\n28421 42671\n12097 18117\n76509 100000\n30059 45119\n61245 91876\n18860 28299\n53302 79972\n94866 100000\n27538 41332\n59181 88803\n17046 25552\n78282 100000\n6796 10205\n87326 100000\n85991 100000\n70077 100000\n90229 100000\n16864 25272\n26293 39450\n59034 88591\n61602 92412\n76297 100000\n69487 100000\n45091 67712\n93253 100000\n83578 100000\n31910 47909\n53397 80118\n12737 19083\n21179 31784\n99158 100000\n78328 100000\n99333 100000\n66532 99796\n60387 90606\n2255 3380\n93613 100000\n12834 19231\n8340 12504\n65639 98461\n5837 8775\n73544 100000\n17406 26108\n24259 36408\n66126 99196\n11079 16587\n48408 72697\n20484 30750\n63080 94626\n50471 75743\n62741 94125\n53329 80016\n69555 100000\n35051 52621\n48279 72496\n24182 36303\n57476 86220\n62776 94177\n86573 100000\n53648 80501\n13590 20350\n75785 100000\n95982 100000\n97034 100000\n31626 47483\n13544 20287\n14823 22191\n8439 12646\n85030 100000\n53624 80468\n50704 76087\n82293 100000\n90903 100000\n79914 100000\n8738 13085\n16317 24436\n70707 100000\n84884 100000\n88435 100000\n21663 32527\n45537 68374\n71407 100000\n85443 100000\n39325 59022\n8054 12085\n41406 62177\n6193 9305\n862 1298\n46537 69899\n45243 67932\n13277 19897\n11869 17778\n96486 100000\n38674 58036\n81593 100000\n82906 100000\n72304 100000\n25686 38531\n82923 100000\n53874 80838\n17 25\n33341 50051\n85590 100000\n14262 21351\n66856 100000\n69021 100000\n50569 75890\n73105 100000\n24823 37273\n35183 52816\n90588 100000\n48923 73473\n50083 75169\n1426 2131\n1215 1807\n58162 87270\n49166 73842\n46668 70095\n48959 73527\n77038 100000\n16134 24161\n21664 32528\n64799 97198\n94646 100000\n50969 76492\n72995 100000\n69945 100000\n58954 88472\n65564 98348\n51359 77069\n74898 100000\n56289 84446\n53550 80354\n34537 51850\n7686 11546\n78044 100000\n2321 3486\n96863 100000\n98153 100000\n6886 10342\n92538 100000\n32883 49368\n64369 96555\n99905 100000\n93852 100000\n38861 58319\n94823 100000\n31321 47025\n24907 37397\n92228 100000\n65299 97953\n82016 100000\n4980 7484\n6950 10436\n36521 54808\n77383 100000\n89368 100000\n54888 82327\n89290 100000\n65695 98545\n56832 85261\n79341 100000\n51735 77642\n78168 100000\n21152 31742\n56749 85141\n4992 7503\n682 1033\n73386 100000\n93265 100000\n40842 61311\n690 1044\n43094 64735\n34919 52427\n38466 57718\n33401 50140\n98170 100000\n149 227\n59500 89286\n84235 100000\n22580 33907\n96685 100000\n41261 61947\n56009 84026\n75556 100000\n44651 67046\n93837 100000\n11897 17823\n51461 77223\n13399 20075\n5880 8843\n95792 100000\n60593 90907\n92984 100000\n84032 100000\n96159 100000\n33869 50860\n50553 75867\n85369 100000\n39509 59299\n43860 65866\n2759 4145\n80186 100000\n39597 59434\n55756 83647\n66145 99224\n71927 100000\n48172 72339\n4487 6749\n60558 90854\n13977 20922\n21777 32702\n46482 69816\n13354 20012\n33643 50506\n4084 6157\n25998 38993\n81014 100000\n50302 75497\n47104 70745\n88126 100000\n21784 32714\n79013 100000\n50327 75538\n1700 2549\n85775 100000\n17138 25695\n2661 3996\n56793 85199\n95025 100000\n59188 88815\n70112 100000\n94231 100000\n57526 86298\n83130 100000\n40037 60088\n20108 30166\n37631 56481\n92511 100000\n94134 100000\n49483 74299\n85970 100000\n85776 100000\n53247 79893\n20281 30435\n18205 27313\n914 1375\n49753 74690\n11473 17170\n88932 100000\n47253 70974\n89631 100000\n66948 100000\n19586 29398\n1005 1505\n55667 83517\n41212 61875\n87388 100000\n69962 100000\n18538 27824\n71668 100000\n43136 64801\n81644 100000\n29888 44861\n60258 90411\n6258 9397\n36397 54621\n70831 100000\n68780 100000\n10803 16168\n35854 53815\n62019 93031\n29401 44134\n21878 32862\n91127 100000\n68445 100000\n8589 12867\n4537 6823\n20238 30368\n79286 100000\n9010 13483\n56097 84158\n39188 58814\n71232 100000\n45555 68396\n23993 36021\n49501 74328\n85424 100000\n98275 100000\n42897 64436\n66135 99211\n68955 100000\n46359 69619\n66864 100000\n79972 100000\n58024 87045\n6960 10448\n94251 100000\n83055 100000\n32855 49322\n64113 96170\n76622 100000\n62231 93360\n39877 59854\n90100 100000\n88691 100000\n29127 43734\n20825 31251\n13163 19723\n88037 100000\n66683 100000\n2651 3981\n85714 100000\n29001 43543\n72038 100000\n66524 99783\n47802 71792\n47365 71139\n18536 27822\n49618 74495\n28378 42608\n79065 100000\n4042 6095\n16722 25054\n80373 100000\n6369 9564\n19050 28576\n64058 96091\n75924 100000\n27753 41654\n66982 100000\n23420 35157\n24258 36406\n21908 32911\n66392 99593\n53960 80970\n5237 7866\n87547 100000\n78608 100000\n9900 14808\n851 1283\n25766 38654\n69463 100000\n76953 100000\n70626 100000\n34717 52125\n2403 3606\n19458 29199\n96792 100000\n26836 40267\n3142 4722\n86172 100000\n17679 26525\n75690 100000\n90822 100000\n61081 91624\n19535 29323\n28808 43245\n80518 100000\n67472 100000\n23289 34962\n47982 72060\n14650 21929\n31256 46929\n28530 42835\n74789 100000\n27544 41340\n70073 100000\n71647 100000\n79367 100000\n83863 100000\n90664 100000\n13982 20928\n34189 51336\n74827 100000\n67850 100000\n34376 51614\n78255 100000\n69143 100000\n86383 100000\n80151 100000\n84598 100000\n64796 97194\n39944 59951\n29320 44015\n37965 56982\n68700 100000\n8559 12823\n35894 53876\n23706 35583\n75797 100000\n4542 6830\n34857 52334\n14398 21548\n15115 22627\n25419 38147\n35642 53502\n13535 20273\n358 544\n39117 58709\n43481 65304\n11016 16491\n37259 55914\n20117 30179\n68985 100000\n41080 61668\n69566 100000\n98459 100000\n15478 23189\n72897 100000\n500 755\n79342 100000\n18911 28371\n27142 40728\n54549 81831\n9975 14914\n49725 74650\n21421 32151\n19780 29683\n8291 12437\n89657 100000\n60237 90381\n32360 48587\n29170 43798\n46837 70348\n95699 100000\n13405 20083\n29701 44580\n93654 100000\n9464 14169\n70925 100000\n78775 100000\n25537 38312\n19803 29717\n50999 76538\n77003 100000\n55564 83362\n47985 72066\n2631 3953\n35464 53236\n22376 33599\n42894 64431\n14090 21091\n13062 19576\n69673 100000\n32703 49095\n93929 100000\n24482 36761\n76930 100000\n36348 54547\n51276 76948\n50168 75298\n27097 40662\n37156 55750\n10447 15621\n99111 100000\n75078 100000\n19 28\n47088 70723\n99731 100000\n67453 100000\n66887 100000\n61005 91513\n28912 43409\n34639 52002\n95666 100000\n4144 6240\n33709 50604\n88370 100000\n36083 54156\n19700 29563\n25346 38039\n86405 100000\n14063 21046\n15789 23641\n27356 41048\n39647 59504\n35621 53475\n73442 100000\n62484 93744\n5883 8847\n53125 79720\n34125 51247\n85664 100000\n4166 6271\n82169 100000\n71972 100000\n66460 99694\n56049 84088\n91039 100000\n11408 17071\n32734 49143\n49258 73972\n41107 61712\n57764 86652\n20132 30204\n79148 100000\n19932 29908\n67931 100000\n48096 72228\n24501 36791\n61917 92878\n99295 100000\n29369 44086\n8473 12700\n5022 7546\n25391 38105\n95639 100000\n2252 3375\n64908 97361\n12277 18382\n23737 35628\n5335 8017\n25592 38393\n97589 100000\n97013 100000\n68422 100000\n36144 54244\n64539 96813\n72959 100000\n78247 100000\n34545 51860\n79459 100000\n13683 20478\n75144 100000\n75824 100000\n24234 36375\n14711 22018\n2548 3824\n65505 98260\n15349 22986\n64310 96469\n3505 5277\n85234 100000\n2810 4220\n49356 74104\n5822 8755\n99674 100000\n83874 100000\n41976 63035\n33525 50328\n74447 100000\n8011 12016\n4580 6891\n89474 100000\n38694 58068\n84538 100000\n67711 100000\n40861 61340\n4014 6054\n29512 44296\n44583 66945\n46100 69215\n84461 100000\n55975 83976\n28377 42607\n44342 66597\n85588 100000\n75419 100000\n53457 80211\n64271 96409\n93450 100000\n22750 34155\n75496 100000\n20890 31351\n78203 100000\n97433 100000\n59319 89014\n39070 58635\n80935 100000\n4234 6367\n63446 95162\n52973 79495\n35146 52762\n9278 13889\n33812 50769\n13210 19794\n71770 100000\n80407 100000\n27068 40612\n51734 77641\n8528 12778\n90399 100000\n98016 100000\n80470 100000\n96378 100000\n73298 100000\n42391 63673\n53509 80295\n82758 100000\n3415 5144\n39948 59959\n7772 11672\n35823 53770\n29928 44918\n74315 100000\n31676 47547\n33652 50519\n72425 100000\n24326 36513\n88606 100000\n69985 100000\n49676 74579\n879 1322\n55720 83595\n14632 21900\n66666 99986\n42446 63760\n1334 1978\n76593 100000\n55107 82666\n46253 69455\n53707 80589\n28053 42115\n33466 50234\n55215 82833\n85951 100000\n55852 83790\n54291 81464\n37796 56727\n89345 100000\n22845 34296\n67623 100000\n47287 71024\n28160 42276\n92053 100000\n75066 100000\n80448 100000\n53058 79619\n29816 44745\n70966 100000\n99942 100000\n59459 89225\n11554 17292\n98181 100000\n82037 100000\n19067 28606\n61201 91804\n1586 2374\n4244 6384\n19639 29474\n28629 42983\n37468 56231\n75477 100000\n29569 44386\n43555 65411\n73282 100000\n25554 38335\n38628 57965\n4590 6904\n86326 100000\n76821 100000\n24820 37267\n33488 50272\n78374 100000\n7026 10552\n63985 95976\n25704 38555\n64529 96800\n62280 93437\n35164 52789\n45008 67592\n64935 97404\n53476 80244\n96258 100000\n53499 80280\n6115 9190\n84808 100000\n42483 63815\n5830 8765\n62524 93805\n94698 100000\n96940 100000\n42645 64051\n81097 100000\n35341 53056\n57141 85726\n89890 100000\n98352 100000\n63149 94731\n67454 100000\n74108 100000\n70196 100000\n39093 58671\n64023 96034\n73598 100000\n47805 71795\n64494 96756\n734 1106\n16514 24734\n32119 48225\n42970 64551\n42177 63336\n15602 23366\n56712 85089\n63413 95114\n38354 57550\n53717 80604\n40953 61473\n5839 8778\n75757 100000\n82921 100000\n65676 98518\n68060 100000\n61683 92529\n4449 6692\n96694 100000\n52614 78954\n63930 95889\n74718 100000\n30766 46199\n56725 85107\n1138 1695\n77384 100000\n45026 67617\n9751 14584\n21041 31576\n81760 100000\n18098 27151\n229 347\n10295 15395\n41286 61991\n65439 98159\n3283 4937\n2384 3579\n83170 100000\n51371 77086\n66542 99811\n15324 22947\n90056 100000\n61099 91653\n50991 76525\n42988 64578\n75685 100000\n78147 100000\n86188 100000\n45111 67738\n23303 34984\n84303 100000\n83989 100000\n22851 34304\n63670 95498\n93254 100000\n10436 15606\n22676 34046\n72764 100000\n65684 98529\n67690 100000\n8988 13452\n80132 100000\n22596 33935\n83330 100000\n18690 28048\n11513 17229\n92655 100000\n71982 100000\n12791 19168\n77096 100000\n48815 73308\n61953 92933\n72834 100000\n65867 98809\n76316 100000\n41544 62383\n23446 35198\n89328 100000\n35420 53171\n39047 58601\n80552 100000\n84863 100000\n38728 58121\n12481 18699\n18777 28177\n38243 57384\n80257 100000\n13225 19817\n46305 69532\n54442 81676\n84935 100000\n47257 70980\n43480 65302\n92272 100000\n67077 100000\n31173 46810\n90837 100000\n6415 9636\n82087 100000\n80823 100000\n26132 39190\n3984 6006\n59220 88863\n51407 77140\n13930 20847\n48162 72325\n59747 89658\n27840 41785\n5032 7559\n65647 98473\n14855 22235\n8656 12963\n51678 77558\n97245 100000\n83278 100000\n28944 43457\n63016 94527\n14840 22213\n28201 42342\n46061 69157\n13738 20558\n61825 92741\n17761 26652\n2248 3371\n33093 49675\n26903 40363\n92903 100000\n15600 23363\n60799 91208\n4385 6606\n19794 29702\n24185 36306\n5705 8584\n32184 48317\n40712 61110\n86460 100000\n30927 46441\n37255 55909\n83012 100000\n47197 70888\n37648 56506\n36666 55020\n50756 76174\n99092 100000\n86023 100000\n25198 37829\n86850 100000\n55785 83691\n1193 1776\n58339 87546\n86958 100000\n57837 86770\n73779 100000\n75162 100000\n5538 8333\n5876 8839\n14648 21926\n81523 100000\n76201 100000\n77219 100000\n68346 100000\n48952 73516\n65192 97785\n79702 100000\n20392 30602\n68428 100000\n32862 49333\n13366 20031\n7852 11788\n41855 62856\n58700 88102\n39731 59634\n65937 98912\n21448 32190\n65266 97897\n41355 62093\n22072 33153\n10749 16087\n98157 100000\n28671 43045\n24168 36283\n48092 72222\n47949 72013\n54268 81428\n89549 100000\n47999 72086\n58494 87788\n21009 31526\n14370 21511\n74279 100000\n69563 100000\n83787 100000\n14989 22441\n7062 10604\n39546 59351\n74090 100000\n55081 82624\n10673 15967\n68214 100000\n62443 93680\n10541 15760\n27568 41377\n28959 43480\n65948 98931\n74709 100000\n40719 61120\n26089 39131\n44188 66370\n89210 100000\n7538 11325\n93749 100000\n49182 73863\n13519 20249\n58067 87119\n77598 100000\n67032 100000\n23105 34693\n39531 59331\n11961 17925\n63274 94907\n62590 93908\n33811 50767\n23514 35304\n2364 3551\n83633 100000\n27506 41285\n30455 45726\n19607 29428\n68971 100000\n75279 100000\n48585 72968\n66240 99369\n88429 100000\n28599 42939\n32910 49407\n42192 63358\n95089 100000\n64536 96810\n87913 100000\n32072 48154\n37482 56250\n57399 86107\n21782 32710\n21699 32578\n70288 100000\n42136 63277\n86213 100000\n17711 26575\n33458 50223\n72793 100000\n16847 25246\n41583 62441\n9403 14077\n72144 100000\n91366 100000\n63239 94859\n1331 1974\n49021 73621\n73033 100000\n80654 100000\n32394 48637\n8145 12215\n67440 100000\n80584 100000\n3318 4992\n41468 62267\n93132 100000\n43117 64773\n14509 21718\n53133 79731\n69362 100000\n21268 31916\n42168 63326\n67036 100000\n20388 30596\n67646 100000\n27564 41372\n70630 100000\n90116 100000\n85949 100000\n66132 99205\n81068 100000\n19210 28822\n45955 68997\n4584 6896\n59832 89782\n75788 100000\n66815 100000\n61669 92508\n72002 100000\n66952 100000\n20602 30931\n53070 79637\n77973 100000\n49403 74174\n24757 37172\n7610 11427\n53445 80190\n47412 71210\n10232 15299\n22761 34168\n50334 75550\n71530 100000\n44956 67509\n85465 100000\n81239 100000\n83501 100000\n58139 87237\n8620 12908\n85702 100000\n65798 98698\n19888 29842\n87122 100000\n70634 100000\n88246 100000\n76499 100000\n96812 100000\n52524 78820\n61960 92943\n61292 91944\n41961 63014\n7398 11114\n82100 100000\n91710 100000\n46949 70508\n75938 100000\n26771 40166\n3435 5175\n31971 48001\n24978 37506\n52178 78302\n45089 67710\n14402 21553\n7929 11897\n49452 74249\n26481 39730\n54232 81376\n43680 65599\n23857 35806\n34329 51546\n98519 100000\n86071 100000\n50330 75543\n65506 98261\n64379 96570\n98357 100000\n61587 92391\n5666 8524\n80180 100000\n643 974\n50564 75883\n44904 67427\n17831 26756\n30812 46264\n29421 44164\n8716 13055\n64819 97226\n27916 41904\n51655 77524\n22120 33230\n19711 29578\n24170 36285\n64551 96831\n87048 100000\n12311 18436\n66255 99388\n13689 20488\n44805 67272\n82249 100000\n98431 100000\n83838 100000\n46624 70030\n50198 75342\n68552 100000\n35254 52926\n51786 77721\n47923 71975\n23516 35306\n39905 59899\n3761 5659\n95948 100000\n94091 100000\n57232 85858\n52480 78753\n66163 99251\n69849 100000\n44562 66916\n96904 100000\n27232 40866\n8000 12002\n25541 38317\n34293 51490\n58963 88485\n63951 95923\n5284 7944\n79311 100000\n3758 5653\n48109 72247\n91592 100000\n92529 100000\n26638 39962\n74634 100000\n86300 100000\n1108 1650\n11150 16690\n89073 100000\n75632 100000\n37922 56916\n93395 100000\n75910 100000\n93226 100000\n87324 100000\n87877 100000\n73151 100000\n5502 8278\n62073 93120\n82303 100000\n48506 72850\n26487 39739\n82022 100000\n79760 100000\n26954 40441\n46774 70253\n21080 31635\n21903 32904\n43270 64998\n47298 71040\n33228 49878\n14072 21061\n63463 95188\n76414 100000\n93200 100000\n4562 6863\n78436 100000\n98067 100000\n91411 100000\n9624 14395\n44385 66661\n41116 61727\n63842 95753\n79990 100000\n52222 78364\n38999 58532\n86660 100000\n3803 5725\n71395 100000\n99646 100000\n1148 1709\n7685 11544\n37466 56228\n34965 52495\n89362 100000\n57864 86811\n511 769\n60064 90127\n64571 96857\n25526 38299\n56751 85143\n11862 17767\n44270 66488\n36079 54151\n72618 100000\n26424 39648\n10512 15719\n57225 85850\n77221 100000\n4410 6638\n72774 100000\n81544 100000\n28750 43159\n23364 35076\n5987 8994\n50454 75721\n54091 81164\n20693 31058\n40563 60876\n50270 75450\n80170 100000\n64899 97346\n9261 13863\n61518 92288\n95315 100000\n93415 100000\n62095 93151\n70639 100000\n27965 41978\n3440 5182\n14597 21849\n23098 34683\n75413 100000\n90670 100000\n83996 100000\n46700 70142\n62930 94405\n69706 100000\n42652 64063\n67322 100000\n86702 100000\n79746 100000\n55528 83310\n29688 44560\n96958 100000\n89635 100000\n47461 71285\n9627 14399\n83367 100000\n77875 100000\n92831 100000\n33862 50849\n6755 10142\n53157 79767\n77279 100000\n70283 100000\n62160 93255\n78320 100000\n17619 26429\n3895 5866\n51029 76583\n4278 6436\n32341 48559\n842 1269\n41345 62079\n83875 100000\n65931 98902\n30519 45827\n90669 100000\n57 86\n54621 81935\n1057 1579\n96771 100000\n98880 100000\n60491 90758\n91730 100000\n43772 65735\n21654 32513\n41025 61584\n32418 48675\n97335 100000\n4928 7405\n74868 100000\n2471 3706\n45327 68054\n78762 100000\n20763 31158\n18313 27477\n74572 100000\n14461 21646\n66020 99036\n23880 35841\n77373 100000\n91742 100000\n20887 31347\n70631 100000\n28369 42594\n99959 100000\n14281 21376\n77911 100000\n26075 39113\n12116 18145\n86510 100000\n29708 44592\n5192 7798\n70243 100000\n71865 100000\n5579 8392\n31361 47087\n97031 100000\n78434 100000\n42188 63351\n90593 100000\n27891 41866\n97841 100000\n38816 58258\n74232 100000\n55514 83286\n5097 7658\n12447 18646\n43248 64968\n89713 100000\n48407 72696\n5047 7582\n16604 24884\n33538 50351\n54421 81645\n57557 86344\n67900 100000\n56854 85293\n88503 100000\n56466 84722\n63299 94945\n61575 92375\n49424 74206\n31591 47429\n23681 35542\n19906 29868\n27351 41039\n27816 41752\n64689 97035\n60569 90871\n41989 63056\n26282 39433\n78746 100000\n68274 100000\n70191 100000\n97166 100000\n76945 100000\n11304 16923\n57328 85998\n11211 16784\n52536 78838\n39701 59585\n76218 100000\n88420 100000\n52055 78124\n34518 51820\n87544 100000\n86003 100000\n67824 100000\n67098 100000\n53267 79922\n46244 69441\n3125 4697\n62383 93588\n51617 77459\n62043 93073\n85388 100000\n49528 74365\n46591 69979\n26655 39987\n14066 21050\n71397 100000\n65320 97984\n37417 56153\n63704 95552\n81409 100000\n94133 100000\n3204 4821\n33648 50513\n96071 100000\n71764 100000\n80653 100000\n4706 7075\n93832 100000\n6496 9757\n85173 100000\n27363 41058\n6240 9370\n9978 14918\n47817 71816\n15564 23312\n96070 100000\n98897 100000\n71659 100000\n4402 6626\n62837 94269\n53556 80363\n64343 96519\n86091 100000\n37995 57026\n7574 11373\n27970 41987\n83058 100000\n56135 84218\n89069 100000\n77015 100000\n66888 100000\n50117 75219\n92448 100000\n91171 100000\n77152 100000\n58316 87513\n4690 7052\n35276 52959\n70286 100000\n27861 41818\n36602 54929\n78356 100000\n19215 28828\n4465 6716\n36537 54832\n2675 4014\n48555 72919\n21115 31690\n87166 100000\n6600 9909\n40971 61498\n81407 100000\n3574 5381\n63060 94594\n63770 95646\n52534 78836\n38143 57244\n55863 83805\n93992 100000\n6541 9825\n58717 88129\n61039 91561\n11661 17455\n58166 87276\n15219 22785\n81415 100000\n49743 74676\n12773 19137\n64845 97266\n9973 14911\n15057 22541\n24311 36488\n94645 100000\n71665 100000\n59498 89283\n60514 90792\n46801 70290\n87218 100000\n21382 32090\n48784 73266\n3910 5891\n51994 78027\n1975 2960\n48430 72727\n76347 100000\n8447 12659\n33350 50064\n6599 9908\n36020 54063\n74552 100000\n35061 52635\n38496 57765\n67157 100000\n85656 100000\n48035 72145\n95728 100000\n38323 57505\n88838 100000\n52327 78518\n19094 28649\n32740 49153\n14864 22251\n95915 100000\n91349 100000\n57086 85651\n15680 23480\n50186 75325\n11399 17058\n73804 100000\n45647 68535\n71841 100000\n16767 25122\n5273 7926\n72021 100000\n61345 92024\n20366 30562\n67417 100000\n46604 70000\n50805 76248\n16771 25127\n33017 49565\n39452 59212\n54273 81437\n53778 80699\n51403 77134\n82880 100000\n61494 92255\n72110 100000\n51854 77821\n87820 100000\n98073 100000\n57933 86913\n89242 100000\n43319 65074\n41064 61641\n28126 42222\n60220 90357\n56359 84556\n31724 47617\n62797 94208\n28481 42759\n91087 100000\n42917 64466\n63266 94898\n95016 100000\n98009 100000\n66533 99797\n66003 99012\n12463 18671\n59501 89287\n36562 54869\n18697 28060\n96174 100000\n93962 100000\n12372 18531\n59240 88896\n57431 86151\n4197 6319\n92600 100000\n35695 53573\n4422 6653\n28733 43132\n84731 100000\n74616 100000\n8822 13209\n20101 30155\n72595 100000\n92067 100000\n13501 20223\n96031 100000\n97671 100000\n74541 100000\n81107 100000\n62513 93785\n89639 100000\n91717 100000\n13355 20014\n47136 70793\n62900 94360\n12621 18910\n58511 87810\n73990 100000\n13954 20884\n86565 100000\n11940 17892\n98066 100000\n10511 15718\n7499 11265\n60228 90369\n93233 100000\n42267 63471\n82568 100000\n7739 11627\n81507 100000\n9547 14288\n38415 57642\n75664 100000\n21452 32196\n85411 100000\n77501 100000\n89893 100000\n66179 99278\n87856 100000\n91873 100000\n50693 76070\n23712 35593\n22394 33623\n90635 100000\n3205 4823\n66393 99594\n22712 34099\n37483 56252\n9502 14227\n8032 12049\n13109 19642\n46874 70399\n59687 89567\n28571 42895\n39844 59801\n40643 60999\n9717 14530\n10083 15077\n53649 80503\n12660 18968\n91864 100000\n24035 36086\n49331 74070\n87878 100000\n62131 93207\n21955 32979\n8672 12988\n67526 100000\n18931 28401\n89520 100000\n8200 12304\n1645 2464\n8904 13332\n2363 3549\n35570 53393\n68418 100000\n60202 90333\n35740 53640\n79561 100000\n22900 34379\n116 175\n34039 51125\n49337 74077\n68476 100000\n7486 11246\n53084 79658\n73826 100000\n37429 56171\n14570 21811\n95831 100000\n36441 54686\n59081 88657\n60942 91422\n74850 100000\n46034 69116\n6495 9756\n5668 8527\n79587 100000\n73142 100000\n80400 100000\n13037 19537\n64773 97159\n60707 91073\n93730 100000\n26783 40186\n6446 9680\n99009 100000\n55897 83857\n90227 100000\n64396 96596\n2765 4153\n44788 67244\n80969 100000\n84743 100000\n15362 23008\n56528 84814\n61227 91845\n12825 19217\n73829 100000\n66110 99170\n22395 33625\n73846 100000\n10279 15367\n40937 61452\n54915 82370\n37445 56195\n2872 4314\n87390 100000\n42126 63260\n42004 63077\n56524 84808\n24953 37467\n57045 85594\n52354 78557\n67921 100000\n64207 96307\n14336 21460\n58500 87796\n8443 12652\n7650 11490\n52837 79298\n42743 64208\n8830 13221\n96084 100000\n19111 28673\n78532 100000\n78643 100000\n44897 67416\n6784 10188\n25163 37776\n33008 49554\n74596 100000\n28459 42729\n26348 39532\n99090 100000\n13714 20523\n89153 100000\n32206 48353\n18988 28490\n61594 92400\n79077 100000\n41757 62711\n16928 25372\n60823 91245\n46375 69646\n17762 26653\n36444 54691\n37605 56444\n32445 48717\n6450 9686\n3265 4907\n86287 100000\n6305 9471\n68817 100000\n79763 100000\n65483 98229\n53665 80526\n85533 100000\n65601 98403\n8834 13226\n34282 51472\n2257 3383\n66383 99581\n33054 49626\n36023 54068\n28175 42299\n67964 100000\n60967 91456\n18366 27558\n52674 79047\n77854 100000\n58436 87695\n74519 100000\n81214 100000\n39203 58837\n39320 59013\n64640 96959\n91965 100000\n52907 79400\n29412 44149\n33537 50349\n55436 83168\n66041 99066\n67748 100000\n7069 10615\n25553 38334\n37212 55842\n18534 27818\n46148 69286\n66803 100000\n92261 100000\n57897 86860\n19603 29422\n55048 82569\n59025 88576\n99535 100000\n74951 100000\n44411 66699\n40242 60390\n28138 42242\n64421 96641\n23790 35709\n99320 100000\n90605 100000\n53720 80608\n91509 100000\n79218 100000\n93661 100000\n7761 11657\n61783 92675\n18657 27998\n9516 14247\n96091 100000\n1238 1839\n37516 56300\n76094 100000\n4297 6466\n41411 62183\n55319 82985\n98227 100000\n1314 1949\n83753 100000\n52073 78151\n54044 81096\n26976 40471\n69122 100000\n37920 56913\n60800 91210\n65033 97546\n94736 100000\n56777 85178\n31514 47313\n36993 55517\n78054 100000\n37170 55777\n94040 100000\n27546 41344\n10756 16099\n16360 24497\n42781 64267\n12154 18203\n23553 35358\n48110 72248\n60723 91098\n90891 100000\n64071 96110\n17037 25537\n16701 25025\n58804 88251\n89601 100000\n23065 34633\n56780 85182\n99382 100000\n11258 16854\n10224 15286\n78728 100000\n66548 99820\n65756 98637\n48202 72382\n99237 100000\n35199 52843\n54703 82052\n11184 16743\n54058 81116\n68502 100000\n61689 92538\n10112 15121\n78940 100000\n17794 26700\n12716 19048\n74936 100000\n43536 65384\n95422 100000\n3866 5821\n67461 100000\n33833 50800\n80490 100000\n7440 11180\n61544 92328\n76891 100000\n99187 100000\n67831 100000\n19742 29623\n48000 72087\n83851 100000\n19715 29585\n55194 82804\n86493 100000\n14200 21264\n80092 100000\n33920 50938\n66976 100000\n27754 41655\n33050 49619\n32486 48777\n29674 44540\n38684 58052\n41930 62967\n80464 100000\n30444 45710\n26489 39743\n87834 100000\n20244 30376\n58733 88151\n94344 100000\n52692 79075\n40227 60366\n93825 100000\n97576 100000\n9268 13873\n83137 100000\n13495 20213\n58709 88115\n49632 74517\n14305 21411\n72270 100000\n49471 74278\n13029 19523\n20485 30752\n3882 5847\n47559 71430\n37697 56578\n55365 83052\n41691 62608\n59896 89874\n72420 100000\n4982 7486\n87402 100000\n15961 23894\n28620 42971\n22443 33700\n47359 71129\n15001 22460\n69861 100000\n8809 13191\n13797 20645\n37488 56260\n72146 100000\n27735 41628\n35097 52687\n12117 18146\n82595 100000\n27921 41912\n17860 26799\n34566 51893\n61019 91534\n9137 13674\n43262 64986\n31182 46822\n51848 77810\n79840 100000\n90933 100000\n1791 2689\n68143 100000\n13910 20816\n86625 100000\n16540 24781\n25706 38557\n48927 73478\n28297 42486\n64000 96000\n95467 100000\n55221 82842\n5982 8986\n39955 59966\n81980 100000\n84095 100000\n40751 61168\n12196 18262\n83262 100000\n63230 94845\n20353 30542\n99163 100000\n70914 100000\n17153 25720\n12087 18104\n45730 68662\n87299 100000\n93041 100000\n93186 100000\n34236 51404\n74027 100000\n32295 48488\n39664 59529\n24589 36922\n46650 70067\n40447 60701\n34514 51815\n20985 31491\n84291 100000\n30281 45464\n98984 100000\n39290 58967\n66415 99626\n67016 100000\n702 1062\n67140 100000\n79965 100000\n92675 100000\n10583 15827\n63132 94705\n8725 13065\n60315 90493\n36769 55166\n24027 36075\n79296 100000\n38767 58182\n52254 78411\n12139 18181\n68605 100000\n8321 12478\n29455 44215\n99957 100000\n13670 20458\n44838 67325\n80447 100000\n7678 11531\n68674 100000\n48330 72575\n3658 5507\n23093 34673\n18131 27199\n78707 100000\n24579 36908\n31458 47237\n23848 35793\n23492 35269\n79537 100000\n60512 90788\n69723 100000\n94055 100000\n60566 90866\n33932 50957\n61543 92326\n29447 44203\n23011 34549\n41756 62709\n61229 91848\n79011 100000\n4039 6090\n32579 48909\n42140 63283\n22905 34389\n94351 100000\n5230 7856\n69219 100000\n55905 83868\n15150 22679\n19467 29214\n84653 100000\n40668 61039\n21344 32033\n26418 39639\n31723 47615\n11100 16619\n67858 100000\n18655 27996\n48474 72797\n79851 100000\n47436 71246\n57237 85866\n45637 68520\n28374 42603\n93921 100000\n40084 60157\n97586 100000\n30377 45603\n35555 53372\n7821 11744\n2409 3617\n59103 88690\n84745 100000\n14576 21819\n50294 75487\n85310 100000\n92376 100000\n29318 44011\n22319 33519\n41650 62546\n19890 29845\n97382 100000\n16999 25483\n51492 77268\n16952 25410\n47952 72017\n25855 38778\n81320 100000\n41598 62466\n19103 28661\n74049 100000\n29716 44601\n57744 86621\n78908 100000\n97877 100000\n77215 100000\n84436 100000\n46676 70108\n83515 100000\n98749 100000\n39962 59976\n31210 46861\n4393 6616\n21792 32726\n36910 55386\n83270 100000\n93755 100000\n12889 19316\n76263 100000\n82392 100000\n6961 10449\n63668 95496\n59000 88542\n52342 78543\n55208 82823\n13236 19832\n78958 100000\n7217 10842\n77485 100000\n14851 22229\n12822 19212\n63623 95429\n98132 100000\n25410 38134\n85720 100000\n44207 66394\n41171 61809\n89261 100000\n90447 100000\n63228 94843\n28492 42776\n30179 45307\n43404 65194\n3502 5273\n35004 52552\n26416 39636\n38677 58039\n77352 100000\n23700 35573\n75500 100000\n20143 30219\n84927 100000\n91535 100000\n35590 53427\n78613 100000\n19787 29692\n22001 33047\n15311 22925\n53880 80847\n86545 100000\n92527 100000\n68355 100000\n12731 19072\n22626 33977\n29064 43637\n99645 100000\n43022 64628\n42214 63393\n38470 57723\n37124 55706\n20878 31332\n70799 100000\n32366 48597\n98777 100000\n72359 100000\n94295 100000\n20470 30727\n79428 100000\n57235 85863\n16833 25225\n43952 66006\n42968 64548\n39123 58718\n95861 100000\n7236 10871\n76876 100000\n81055 100000\n91380 100000\n57115 85691\n54841 82262\n79883 100000\n51261 76926\n97394 100000\n51710 77605\n34930 52442\n89998 100000\n17196 25792\n55065 82598\n88764 100000\n80622 100000\n52275 78441\n60131 90228\n26584 39884\n87198 100000\n67620 100000\n9225 13811\n51249 76907\n53301 79970\n6146 9236\n88485 100000\n30459 45732\n92064 100000\n64215 96320\n96199 100000\n5330 8012\n81816 100000\n64497 96759\n84288 100000\n91959 100000\n24251 36397\n94741 100000\n29563 44377\n81810 100000\n35133 52739\n34654 52026\n62000 93001\n65920 98887\n68588 100000\n286 429\n80812 100000\n49411 74186\n66349 99527\n90320 100000\n20901 31368\n48323 72565\n95602 100000\n10148 15177\n32790 49230\n58840 88305\n78802 100000\n27474 41230\n22261 33441\n61597 92405\n50808 76253\n10272 15357\n30422 45676\n75456 100000\n40267 60429\n88273 100000\n50573 75895\n89991 100000\n83353 100000\n91008 100000\n21570 32372\n76705 100000\n73537 100000\n99764 100000\n46426 69729\n64299 96451\n58741 88161\n72990 100000\n46145 69282\n7469 11222\n36064 54130\n96599 100000\n96165 100000\n65910 98871\n44909 67437\n9888 14791\n31875 47858\n88716 100000\n44712 67131\n53139 79742\n45225 67907\n53012 79553\n99931 100000\n6534 9815\n16339 24465\n91279 100000\n24693 37078\n96217 100000\n98856 100000\n74165 100000\n91781 100000\n49410 74184\n69925 100000\n89997 100000\n76931 100000\n2242 3361\n41888 62906\n15905 23810\n90115 100000\n98292 100000\n96366 100000\n65576 98365\n43200 64893\n47543 71408\n84805 100000\n38428 57662\n11650 17438\n59599 89432\n29283 43960\n80270 100000\n5050 7586\n59491 89273\n14338 21463\n10173 15212\n56397 84613\n44774 67225\n94427 100000\n83606 100000\n19887 29840\n43537 65386\n90702 100000\n65968 98962\n81250 100000\n30990 46538\n25348 38041\n52251 78407\n57038 85584\n1765 2647\n55507 83275\n54497 81758\n26936 40413\n93399 100000\n57220 85842\n11803 17678\n43593 65471\n66217 99336\n41016 61569\n37326 56014\n98438 100000\n83707 100000\n81061 100000\n47376 71156\n79541 100000\n59138 88739\n51358 77067\n20578 30892\n89656 100000\n46957 70521\n30975 46514\n25638 38462\n78127 100000\n70296 100000\n59426 89179\n34374 51611\n36339 54533\n1544 2309\n59149 88756\n17654 26487\n88921 100000\n19575 29377\n884 1330\n4513 6788\n42174 63332\n2985 4492\n51253 76914\n92142 100000\n7510 11284\n3647 5492\n48290 72513\n21761 32677\n89576 100000\n46664 70089\n34578 51911\n22961 34473\n18252 27385\n35702 53584\n54535 81813\n83734 100000\n25823 38734\n37370 56081\n47849 71862\n28870 43342\n30338 45545\n32229 48389\n46745 70206\n15840 23712\n53578 80397\n83504 100000\n23253 34911\n52971 79492\n91729 100000\n50910 76406\n59015 88561\n92095 100000\n525 791\n57446 86173\n71430 100000\n41572 62425\n72493 100000\n71950 100000\n48238 72430\n98106 100000\n20867 31316\n88557 100000\n50795 76234\n18204 27312\n77593 100000\n12633 18929\n8576 12847\n95627 100000\n80724 100000\n79807 100000\n2771 4161\n60756 91147\n81802 100000\n65537 98306\n48021 72122\n94731 100000\n96316 100000\n43596 65475\n29263 43935\n50130 75238\n28741 43144\n45385 68143\n77532 100000\n39478 59252\n14424 21588\n96780 100000\n7551 11344\n46626 70033\n39058 58615\n36121 54211\n41433 62215\n48726 73182\n36108 54193\n8895 13318\n38610 57940\n25318 38000\n37173 55781\n84125 100000\n36904 55375\n38884 58353\n75199 100000\n8479 12710\n83748 100000\n12930 19375\n63550 95323\n20292 30451\n48300 72529\n4553 6849\n65261 97889\n18759 28151\n94357 100000\n75269 100000\n99 153\n44996 67573\n50504 75794\n1328 1970\n77071 100000\n76171 100000\n98636 100000\n86880 100000\n95578 100000\n75378 100000\n40755 61173\n91794 100000\n72594 100000\n29122 43726\n1908 2860\n74832 100000\n91457 100000\n28472 42745\n22430 33679\n676 1024\n76839 100000\n89175 100000\n5989 8998\n91449 100000\n36650 54996\n12192 18257\n53606 80442\n87017 100000\n11236 16817\n60588 90900\n94409 100000\n21877 32861\n61910 92868\n35488 53269\n61469 92213\n7432 11167\n78868 100000\n50520 75815\n65571 98357\n13966 20905\n83337 100000\n5891 8858\n12418 18604\n31373 47104\n74944 100000\n9995 14943\n92853 100000\n66463 99697\n97192 100000\n27162 40754\n63456 95177\n17005 25490\n82828 100000\n30859 46339\n74869 100000\n17858 26797\n8288 12432\n49251 73964\n6330 9510\n80696 100000\n98451 100000\n6009 9024\n87241 100000\n48374 72642\n75021 100000\n49645 74534\n44563 66917\n64714 97073\n59050 88610\n67008 100000\n76444 100000\n59758 89674\n7248 10884\n21581 32391\n67197 100000\n21498 32266\n39781 59708\n53631 80477\n71481 100000\n57968 86964\n4091 6167\n95194 100000\n82023 100000\n76076 100000\n77647 100000\n72831 100000\n80499 100000\n34804 52256\n67337 100000\n21763 32679\n10471 15656\n29632 44478\n56206 84325\n12113 18141\n53536 80335\n88482 100000\n86593 100000\n55425 83152\n58955 88473\n36839 55272\n53045 79599\n12444 18642\n2510 3765\n91438 100000\n12611 18897\n28416 42664\n48618 73018\n35022 52580\n54331 81525\n82414 100000\n83599 100000\n57370 86060\n4967 7465\n96559 100000\n99759 100000\n86246 100000\n29655 44513\n22954 34460\n88299 100000\n36860 55305\n46291 69511\n29581 44404\n28225 42378\n80033 100000\n94016 100000\n25496 38254\n43760 65717\n77935 100000\n55249 82881\n85096 100000\n43202 64896\n40660 61025\n79586 100000\n90444 100000\n86095 100000\n58767 88200\n49034 73638\n69338 100000\n98730 100000\n62638 93972\n22882 34349\n17735 26609\n23346 35050\n61881 92826\n68511 100000\n45801 68766\n26790 40197\n548 826\n81767 100000\n12202 18272\n39375 59100\n89910 100000\n19855 29793\n4981 7485\n19224 28844\n85712 100000\n72408 100000\n95880 100000\n34594 51934\n48868 73387\n4746 7137\n71463 100000\n92687 100000\n42111 63238\n64638 96956\n9879 14779\n51694 77581\n54488 81747\n8882 13297\n60182 90306\n96006 100000\n83566 100000\n80516 100000\n16490 24695\n56520 84800\n60294 90460\n85062 100000\n18794 28205\n15776 23623\n99619 100000\n50660 76025\n29720 44607\n13323 19964\n47537 71398\n92323 100000\n97960 100000\n75618 100000\n79327 100000\n77361 100000\n33929 50951\n65272 97907\n94408 100000\n7786 11692\n30150 45262\n29489 44265\n45579 68433\n14799 22153\n80711 100000\n12535 18781\n51569 77386\n45939 68976\n41819 62805\n32639 49005\n61186 91784\n8595 12875\n46778 70259\n55646 83488\n17640 26463\n20071 30109\n45855 68850\n56239 84373\n4331 6520\n43688 65613\n60981 91477\n88391 100000\n67567 100000\n13278 19898\n58285 87461\n45199 67866\n79191 100000\n97678 100000\n10787 16147\n50790 76227\n8224 12339\n13078 19597\n14626 21891\n66109 99169\n61147 91724\n10077 15067\n81551 100000\n34145 51275\n52186 78312\n28739 43141\n22331 33535\n56343 84532\n92421 100000\n91063 100000\n16976 25448\n87879 100000\n25372 38075\n81443 100000\n53425 80163\n32803 49249\n99141 100000\n53381 80089\n65132 97695\n15605 23371\n78385 100000\n81514 100000\n59727 89623\n11506 17221\n76100 100000\n6973 10467\n33900 50909\n69592 100000\n97450 100000\n98936 100000\n66462 99696\n76087 100000\n66087 99135\n36418 54652\n18440 27671\n10700 16011\n42688 64123\n71549 100000\n8878 13290\n19718 29589\n72266 100000\n97355 100000\n6374 9574\n17431 26147\n15573 23327\n14341 21467\n26863 40307\n99487 100000\n7058 10598\n98007 100000\n39963 59977\n88214 100000\n64777 97165\n27742 41637\n57471 86212\n94635 100000\n3262 4903\n29343 44051\n48005 72095\n16141 24170\n7787 11694\n59807 89748\n29782 44696\n80342 100000\n69172 100000\n40035 60085\n83257 100000\n53857 80815\n58740 88160\n90175 100000\n50738 76146\n51890 77872\n18297 27452\n18674 28025\n30126 45223\n72260 100000\n21401 32121\n15263 22848\n31266 46942\n32861 49332\n89675 100000\n160 243\n94522 100000\n87962 100000\n41862 62868\n31769 47693\n39773 59696\n74618 100000\n66266 99405\n50719 76112\n79493 100000\n37368 56077\n63370 95051\n85417 100000\n1585 2373\n87724 100000\n13832 20699\n18143 27219\n25407 38129\n92867 100000\n40366 60583\n53678 80544\n42671 64093\n55310 82970\n61439 92165\n97263 100000\n58528 87833\n28219 42369\n73469 100000\n34008 51074\n81847 100000\n93343 100000\n35838 53792\n69344 100000\n91053 100000\n55793 83703\n77220 100000\n82271 100000\n37763 56675\n72103 100000\n70202 100000\n17257 25885\n14226 21302\n17125 25673\n94491 100000\n24559 36877\n71928 100000\n36775 55175\n18180 27276\n12854 19261\n82696 100000\n22093 33185\n59074 88647\n19981 29976\n88371 100000\n37901 56884\n79973 100000\n18626 27953\n42512 63856\n82920 100000\n23590 35412\n63647 95466\n33820 50781\n48747 73209\n46520 69872\n60928 91401\n16171 24212\n80040 100000\n91403 100000\n99629 100000\n65119 97676\n15033 22505\n76301 100000\n58823 88279\n71628 100000\n48377 72646\n6572 9871\n16606 24888\n39924 59924\n96064 100000\n81872 100000\n1754 2632\n31701 47582\n29730 44622\n34709 52111\n55122 82691\n77832 100000\n90190 100000\n36641 54984\n60389 90608\n44214 66403\n90617 100000\n93644 100000\n68596 100000\n59012 88558\n93536 100000\n1051 1570\n94412 100000\n76947 100000\n1520 2276\n58349 87561\n69334 100000\n23934 35926\n76467 100000\n62889 94345\n75533 100000\n66299 99452\n20310 30478\n49678 74582\n10988 16448\n71139 100000\n41271 61965\n85274 100000\n25900 38841\n40312 60495\n92942 100000\n96475 100000\n39708 59596\n18044 27071\n23695 35563\n91627 100000\n42253 63451\n98582 100000\n55306 82965\n51483 77255\n7753 11646\n56078 84131\n56093 84151\n83670 100000\n53521 80314\n40520 60809\n78337 100000\n28423 42674\n19542 29332\n58176 87291\n8284 12425\n3000 4514\n79167 100000\n96231 100000\n48733 73191\n26045 39067\n3716 5594\n18421 27643\n21811 32757\n83550 100000\n21325 32005\n11595 17354\n87216 100000\n20210 30325\n31541 47352\n65163 97744\n21712 32598\n58743 88164\n42115 63243\n40847 61318\n54355 81556\n10919 16342\n3286 4941\n41106 61710\n26076 39114\n7 10\n1766 2649\n29536 44336\n49628 74511\n81477 100000\n7868 11812\n45980 69037\n3644 5487\n45492 68308\n80311 100000\n40749 61165\n18948 28427\n97255 100000\n61652 92485\n28596 42933\n77745 100000\n75048 100000\n89451 100000\n6293 9458\n31250 46920\n18238 27366\n30933 46450\n11955 17916\n36942 55436\n34332 51549\n81918 100000\n89931 100000\n24660 37029\n58521 87824\n44565 66920\n8004 12008\n52871 79347\n84964 100000\n32444 48715\n43734 65681\n74725 100000\n59118 88711\n68431 100000\n60721 91095\n90851 100000\n83725 100000\n47818 71818\n46334 69579\n12505 18736\n33618 50465\n73224 100000\n54680 82017\n85144 100000\n76764 100000\n21548 32336\n64443 96677\n99795 100000\n84278 100000\n78541 100000\n65689 98535\n90312 100000\n64284 96430\n77160 100000\n27796 41721\n86170 100000\n47498 71340\n58181 87298\n38565 57874\n86801 100000\n91090 100000\n14008 20966\n41479 62281\n32207 48354\n41826 62816\n1803 2706\n87580 100000\n13621 20390\n31640 47500\n93924 100000\n73241 100000\n38237 57378\n32902 49393\n89974 100000\n78512 100000\n10614 15875\n84420 100000\n82657 100000\n77664 100000\n63447 95164\n49445 74239\n46380 69655\n20777 31180\n46896 70430\n86345 100000\n42145 63290\n54028 81075\n91306 100000\n89373 100000\n77398 100000\n57247 85878\n54607 81915\n19069 28609\n63142 94721\n33296 49984\n46052 69143\n88895 100000\n69396 100000\n2814 4225\n74031 100000\n3853 5802\n31957 47978\n5141 7722\n81348 100000\n54097 81174\n15479 23191\n61874 92816\n92214 100000\n64194 96290\n26284 39435\n9231 13821\n35744 53647\n7873 11820\n51198 76832\n53610 80448\n37884 56860\n8677 12996\n64999 97498\n66787 100000\n92964 100000\n98538 100000\n15389 23048\n36856 55299\n28801 43232\n62438 93675\n34814 52271\n95643 100000\n94587 100000\n97019 100000\n79436 100000\n99711 100000\n69089 100000\n23566 35377\n83073 100000\n42537 63893\n12336 18476\n33706 50600\n46698 70140\n73499 100000\n21691 32567\n64308 96467\n77726 100000\n78639 100000\n47970 72043\n91231 100000\n88088 100000\n51469 77234\n16839 25233\n17769 26665\n94287 100000\n97236 100000\n37215 55848\n56184 84295\n8765 13127\n62130 93205\n45645 68532\n69147 100000\n29458 44218\n25121 37712\n46300 69525\n48465 72784\n466 707\n73111 100000\n88742 100000\n28143 42252\n5254 7896\n71190 100000\n96902 100000\n4777 7181\n50438 75696\n29093 43679\n77534 100000\n32409 48660\n16046 24028\n95126 100000\n20904 31374\n58395 87633\n80587 100000\n51099 76688\n65984 98985\n84807 100000\n39102 58683\n26116 39167\n44792 67251\n91 142\n98345 100000\n49405 74177\n91373 100000\n83213 100000\n49436 74224\n12465 18673\n89163 100000\n49028 73631\n65690 98537\n55891 83848\n1078 1608\n95156 100000\n14219 21292\n41666 62569\n92235 100000\n13486 20199\n78523 100000\n1242 1846\n94154 100000\n47352 71117\n85284 100000\n1701 2551\n75883 100000\n42454 63770\n88642 100000\n83341 100000\n8843 13237\n37897 56878\n15685 23487\n69065 100000\n86103 100000\n62161 93256\n14957 22389\n51849 77812\n62770 94169\n92458 100000\n62444 93681\n97834 100000\n52845 79308\n20798 31211\n61891 92839\n40781 61216\n43538 65387\n94406 100000\n86916 100000\n68462 100000\n65183 97772\n59448 89210\n66412 99622\n2523 3787\n63479 95213\n41731 62670\n922 1386\n10655 15937\n18227 27345\n22059 33135\n58629 87992\n40207 60336\n17558 26335\n27447 41188\n5321 8000\n62957 94439\n87518 100000\n30258 45429\n10545 15766\n63848 95762\n45285 67992\n39069 58633\n51181 76803\n11208 16780\n33202 49839\n86081 100000\n99760 100000\n23076 34651\n58864 88346\n30053 45111\n58147 87247\n91638 100000\n43911 65945\n97413 100000\n91393 100000\n90462 100000\n86193 100000\n57908 86875\n47015 70608\n91903 100000\n26455 39694\n56542 84835\n45987 69046\n30636 46005\n81698 100000\n54641 81963\n9634 14407\n83823 100000\n69951 100000\n75591 100000\n71041 100000\n45881 68889\n69191 100000\n54740 82107\n801 1203\n62470 93721\n6318 9488\n80892 100000\n4217 6345\n83663 100000\n97882 100000\n71207 100000\n9817 14686\n27636 41474\n65581 98371\n37543 56343\n73608 100000\n47272 71000\n47887 71922\n42228 63415\n7079 10628\n52649 79009\n83439 100000\n11606 17370\n40202 60329\n81087 100000\n3541 5331\n80621 100000\n10911 16333\n74069 100000\n54830 82245\n83700 100000\n9280 13893\n75900 100000\n68564 100000\n47803 71793\n40419 60659\n96882 100000\n69542 100000\n66822 100000\n79553 100000\n14767 22104\n17028 25524\n87611 100000\n80131 100000\n4556 6855\n83188 100000\n96799 100000\n85317 100000\n29357 44072\n72419 100000\n33937 50964\n14533 21750\n74284 100000\n10969 16419\n53628 80472\n12373 18533\n1694 2540\n33653 50520\n90745 100000\n11735 17571\n94173 100000\n51716 77614\n52028 78083\n76091 100000\n88395 100000\n22841 34289\n21113 31688\n84066 100000\n80679 100000\n38689 58060\n5495 8267\n34931 52443\n96185 100000\n5963 8960\n30545 45866\n24353 36558\n44373 66643\n13857 20737\n37151 55743\n56551 84850\n85231 100000\n79534 100000\n48539 72895\n21776 32700\n5857 8809\n70537 100000\n45898 68914\n45711 68631\n35587 53422\n60354 90553\n40562 60875\n80529 100000\n23021 34563\n27850 41802\n17034 25533\n20443 30685\n98476 100000\n6602 9912\n78794 100000\n29726 44616\n2436 3654\n76893 100000\n59119 88712\n82820 100000\n72951 100000\n97313 100000\n72332 100000\n32636 49001\n44132 66278\n24603 36945\n73190 100000\n87120 100000\n7561 11356\n50118 75220\n10078 15068\n54006 81041\n2770 4160\n85083 100000\n90328 100000\n51422 77165\n33271 49947\n55635 83472\n89716 100000\n83905 100000\n34752 52175\n25175 37796\n72778 100000\n71760 100000\n64721 97084\n87663 100000\n54908 82359\n46132 69261\n53985 81008\n80807 100000\n30632 45998\n53729 80622\n78698 100000\n11132 16663\n16907 25340\n63311 94963\n70909 100000\n38445 57687\n6088 9148\n58112 87192\n25489 38243\n27093 40655\n12083 18099\n86317 100000\n14306 21412\n85361 100000\n94472 100000\n69003 100000\n32036 48100\n80578 100000\n25296 37972\n66925 100000\n43654 65560\n1864 2798\n22020 33076\n64263 96394\n35663 53532\n97273 100000\n47619 71521\n66367 99554\n89467 100000\n39043 58596\n58327 87531\n30496 45790\n1802 2705\n96054 100000\n74697 100000\n47860 71879\n57462 86199\n14651 21930\n19679 29531\n72264 100000\n2008 3008\n97603 100000\n79276 100000\n21984 33021\n36461 54716\n78987 100000\n10832 16213\n48738 73197\n11017 16493\n87295 100000\n35494 53278\n36797 55208\n49197 73884\n16757 25107\n65025 97534\n75049 100000\n98689 100000\n64151 96227\n53689 80562\n85085 100000\n97696 100000\n92232 100000\n62206 93320\n7123 10688\n58838 88301\n38476 57734\n41404 62173\n37618 56463\n99275 100000\n70231 100000\n57411 86122\n16416 24579\n72670 100000\n92452 100000\n90476 100000\n19953 29940\n70464 100000\n14100 21106\n16266 24357\n29348 44059\n45716 68639\n82223 100000\n38478 57737\n84442 100000\n52001 78040\n39409 59148\n23045 34604\n46803 70294\n17442 26164\n4998 7511\n86158 100000\n41215 61879\n31786 47720\n51230 76875\n32245 48413\n29573 44392\n28321 42521\n266 401\n64919 97380\n19143 28724\n48445 72753\n65790 98689\n33431 50181\n83672 100000\n33870 50862\n61297 91951\n99313 100000\n99830 100000\n80404 100000\n88975 100000\n15976 23920\n60318 90498\n54645 81967\n74895 100000\n45146 67791\n8630 12925\n28079 42154\n77153 100000\n35712 53599\n81868 100000\n72732 100000\n24795 37227\n64950 97430\n20857 31299\n39308 58993\n97409 100000\n75995 100000\n60899 91359\n72680 100000\n66052 99082\n7590 11395\n25777 38668\n84647 100000\n19979 29974\n75789 100000\n28354 42570\n30024 45069\n42740 64203\n34617 51965\n47166 70843\n30722 46132\n41894 62917\n77653 100000\n27853 41807\n99901 100000\n97206 100000\n63954 95928\n30490 45781\n58283 87458\n46666 70092\n99062 100000\n86143 100000\n65012 97518\n13450 20147\n22895 34370\n6323 9498\n61956 92936\n86013 100000\n6094 9158\n29491 44267\n75381 100000\n10531 15749\n77272 100000\n74291 100000\n26141 39208\n60895 91354\n29729 44620\n74054 100000\n28704 43090\n76936 100000\n33417 50160\n22614 33960\n1088 1620\n99509 100000\n77828 100000\n8043 12066\n39354 59065\n17366 26050\n16927 25370\n32753 49171\n31491 47283\n35303 52996\n92127 100000\n84798 100000\n88343 100000\n67267 100000\n55706 83573\n69186 100000\n2493 3738\n33805 50758\n91865 100000\n29363 44079\n29681 44551\n8543 12799\n71814 100000\n90980 100000\n45854 68848\n85378 100000\n90879 100000\n94218 100000\n27123 40699\n52196 78327\n22989 34516\n38383 57590\n37300 55977\n92378 100000\n82315 100000\n51907 77897\n8404 12599\n25729 38592\n79360 100000\n25228 37876\n99390 100000\n51134 76737\n635 960\n17934 26916\n75653 100000\n50666 76033\n3811 5737\n68611 100000\n41545 62385\n34130 51253\n9539 14279\n37475 56241\n16641 24937\n94019 100000\n63269 94901\n37018 55553\n60125 90219\n88093 100000\n81884 100000\n59888 89862\n81641 100000\n48765 73236\n27865 41824\n89418 100000\n80212 100000\n7990 11988\n528 797\n5203 7814\n95892 100000\n44004 66088\n50322 75531\n34345 51567\n99116 100000\n27821 41759\n47468 71295\n10057 15034\n7463 11212\n83775 100000\n57372 86062\n47939 71998\n62767 94166\n47154 70824\n56072 84124\n8590 12868\n94618 100000\n65660 98493\n91563 100000\n38241 57382\n87107 100000\n80391 100000\n73257 100000\n8798 13173\n62551 93848\n62149 93237\n58732 88150\n4031 6079\n21559 32354\n58164 87273\n64386 96580\n15070 22560\n58364 87586\n78666 100000\n68033 100000\n79109 100000\n41237 61911\n96956 100000\n60726 91102\n64833 97247\n4678 7035\n32572 48897\n9245 13839\n34035 51119\n3465 5222\n51748 77659\n55773 83674\n67528 100000\n49832 74809\n46407 69699\n36071 54139\n35604 53450\n40506 60785\n53214 79844\n66237 99365\n54450 81690\n11223 16798\n73798 100000\n94991 100000\n51758 77673\n15088 22588\n27533 41324\n5236 7864\n29123 43727\n29636 44485\n58791 88233\n24244 36389\n72985 100000\n7722 11598\n45551 68391\n63109 94671\n11033 16516\n90079 100000\n95397 100000\n88244 100000\n82842 100000\n82879 100000\n45542 68380\n14979 22424\n58484 87773\n57884 86840\n10945 16382\n98430 100000\n87398 100000\n80444 100000\n12021 18015\n27997 42027\n38779 58203\n65187 97777\n98500 100000\n62862 94309\n60925 91396\n74020 100000\n62188 93295\n15387 23044\n47816 71814\n36933 55422\n7326 11004\n60374 90587\n17885 26836\n46178 69336\n806 1212\n47623 71527\n99865 100000\n14508 21716\n57833 86762\n85619 100000\n56340 84528\n32283 48473\n4765 7165\n1702 2553\n72253 100000\n26018 39025\n68977 100000\n4317 6497\n3756 5651\n67097 100000\n30511 45814\n33174 49799\n1182 1760\n91960 100000\n14722 22033\n27325 41000\n71297 100000\n95474 100000\n84958 100000\n63360 95037\n51195 76827\n4171 6278\n74562 100000\n8426 12627\n78587 100000\n26837 40269\n84608 100000\n19014 28526\n86816 100000\n19334 29005\n43889 65914\n87235 100000\n43182 64869\n32181 48312\n42340 63592\n55197 82807\n95836 100000\n75947 100000\n49885 74889\n45062 67673\n50121 75225\n20646 30990\n63754 95623\n89915 100000\n39006 58544\n37855 56817\n84571 100000\n43657 65563\n23958 35962\n62116 93182\n43999 66079\n53794 80724\n48252 72452\n38491 57757\n44185 66365\n49648 74538\n14569 21809\n76811 100000\n29411 44148\n62984 94480\n78864 100000\n62876 94329\n18032 27051\n23780 35693\n98704 100000\n34495 51784\n3775 5680\n3153 4741\n27265 40910\n19903 29863\n10535 15754\n38516 57797\n96831 100000\n9725 14544\n24650 37014\n85479 100000\n86060 100000\n57978 86979\n45822 68795\n27122 40698\n75650 100000\n84205 100000\n51739 77646\n64647 96970\n74776 100000\n61503 92266\n28574 42899\n51515 77303\n34333 51551\n16880 25299\n35471 53249\n22193 33337\n88981 100000\n52505 78792\n87711 100000\n54439 81671\n33097 49682\n18734 28116\n88065 100000\n29298 43981\n81809 100000\n11310 16932\n53656 80512\n67213 100000\n33736 50652\n92810 100000\n68493 100000\n47932 71989\n26894 40351\n28420 42670\n59415 89162\n57738 86612\n56277 84428\n16784 25146\n87323 100000\n41403 62172\n79920 100000\n68997 100000\n28515 42811\n59338 89045\n30546 45867\n77843 100000\n23613 35448\n7497 11262\n37817 56760\n59295 88980\n25967 38945\n12008 17993\n69083 100000\n53888 80860\n20387 30594\n63181 94774\n45863 68861\n239 362\n19614 29439\n36201 54324\n48023 72124\n45028 67621\n57157 85749\n9579 14330\n59306 88995\n17819 26737\n33916 50932\n67149 100000\n72336 100000\n33272 49948\n90773 100000\n68785 100000\n40370 60590\n96732 100000\n91489 100000\n80635 100000\n22278 33465\n52693 79076\n47076 70706\n54486 81744\n32802 49248\n10521 15733\n53632 80479\n76242 100000\n15805 23664\n28136 42239\n66226 99348\n28382 42613\n80081 100000\n55019 82523\n64094 96144\n54611 81920\n86334 100000\n46937 70490\n26433 39660\n46685 70119\n44594 66963\n70520 100000\n85878 100000\n91770 100000\n44228 66424\n46924 70473\n67735 100000\n62903 94364\n97162 100000\n2268 3400\n30621 45980\n31752 47666\n79016 100000\n16665 24972\n18190 27292\n20081 30125\n38606 57934\n93108 100000\n23270 34935\n99292 100000\n33315 50014\n22846 34297\n70095 100000\n27705 41583\n88508 100000\n68435 100000\n27486 41249\n90429 100000\n30762 46194\n72262 100000\n27795 41719\n17631 26449\n58154 87257\n60066 90130\n20507 30786\n77553 100000\n49574 74432\n87314 100000\n98684 100000\n51772 77696\n53614 80454\n55035 82549\n84967 100000\n55238 82866\n93918 100000\n66397 99601\n64839 97257\n79889 100000\n70567 100000\n18162 27251\n49660 74555\n31294 46982\n61598 92406\n34788 52230\n44911 67440\n54526 81799\n28379 42610\n62603 93926\n23531 35330\n26789 40195\n97974 100000\n79423 100000\n1837 2761\n35635 53493\n71408 100000\n38370 57570\n81248 100000\n54757 82136\n22374 33595\n89020 100000\n64731 97098\n11982 17955\n71885 100000\n9720 14535\n34448 51721\n32395 48638\n9651 14431\n38300 57470\n11805 17681\n94844 100000\n52190 78318\n45121 67755\n92221 100000\n30522 45832\n73819 100000\n80620 100000\n51012 76553\n35940 53947\n43768 65730\n86918 100000\n85755 100000\n73247 100000\n69511 100000\n21539 32325\n35229 52887\n61289 91939\n95996 100000\n78438 100000\n64169 96253\n20958 31452\n42977 64560\n94306 100000\n11273 16876\n18454 27695\n2822 4236\n42296 63517\n11880 17796\n47968 72040\n20687 31051\n93702 100000\n62538 93829\n26930 40405\n8536 12788\n48850 73359\n50669 76037\n45051 67654\n51270 76940\n58722 88137\n36733 55115\n75665 100000\n85767 100000\n94918 100000\n3695 5564\n12194 18259\n49295 74020\n98668 100000\n52478 78750\n10912 16334\n49465 74267\n54393 81607\n85004 100000\n57646 86480\n53120 79713\n61362 92049\n72937 100000\n65250 97873\n36774 55173\n93786 100000\n8957 13406\n53323 80005\n13803 20653\n65891 98844\n894 1344\n69357 100000\n8662 12973\n4806 7221\n40628 60978\n18113 27176\n9112 13639\n86941 100000\n81457 100000\n58630 87994\n17595 26392\n45957 69000\n31967 47994\n49038 73644\n11826 17712\n83652 100000\n15356 22998\n21037 31570\n83889 100000\n398 604\n10742 16076\n98549 100000\n21661 32525\n23242 34896\n73088 100000\n90936 100000\n63041 94565\n86676 100000\n53637 80486\n44354 66616\n73683 100000\n16204 24265\n15766 23608\n78540 100000\n49122 73772\n14076 21068\n34731 52144\n97300 100000\n44045 66146\n3086 4640\n39049 58603\n77030 100000\n43388 65173\n8511 12751\n59924 89919\n44520 66856\n65085 97624\n35719 53610\n54372 81580\n46384 69663\n36367 54578\n44315 66556\n8696 13022\n37106 55679\n86123 100000\n45427 68207\n58454 87724\n24969 37493\n21439 32177\n59080 88656\n82714 100000\n11558 17299\n14353 21483\n14630 21897\n46265 69473\n33962 51001\n72284 100000\n19055 28586\n99884 100000\n57192 85804\n56960 85456\n39603 59441\n13647 20427\n42856 64377\n84347 100000\n75370 100000\n29470 44238\n60486 90751\n78439 100000\n93864 100000\n23982 36001\n823 1238\n27237 40873\n50562 75879\n64603 96907\n64545 96823\n69176 100000\n7351 11040\n88552 100000\n18290 27442\n16176 24219\n92183 100000\n72542 100000\n30872 46358\n43090 64730\n81530 100000\n55358 83042\n79469 100000\n99556 100000\n33945 50976\n53174 79790\n68426 100000\n18500 27761\n16538 24778\n50511 75805\n88681 100000\n49440 74232\n13171 19734\n83198 100000\n56570 84877\n20099 30152\n10128 15147\n73926 100000\n30938 46456\n65247 97867\n64144 96218\n61638 92465\n7067 10612\n6262 9404\n94224 100000\n22492 33774\n43344 65107\n9686 14485\n8958 13408\n94139 100000\n22235 33400\n44837 67324\n63573 95357\n63598 95396\n55465 83211\n13912 20819\n9880 14780\n2956 4449\n5671 8532\n11500 17213\n83243 100000\n97116 100000\n11276 16881\n29250 43917\n65707 98566\n30949 46474\n95651 100000\n63666 95493\n9789 14642\n88896 100000\n56181 84291\n37823 56767\n49243 73952\n4482 6742\n56565 84869\n29742 44641\n4245 6386\n34375 51612\n17109 25646\n15081 22578\n87825 100000\n46270 69479\n83230 100000\n27736 41629\n25927 38884\n13941 20865\n83347 100000\n73922 100000\n64226 96334\n39934 59938\n",
        "output": "28\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 108,
        "task_id": 541,
        "test_case_id": 41,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 99999\n60122 90186\n99323 100000\n89674 100000\n56831 85188\n86209 100000\n4662 7009\n51761 77564\n8055 12060\n37648 56294\n8591 12858\n15118 22631\n83256 100000\n12278 18417\n53679 80468\n33285 49758\n78279 100000\n21800 32593\n16845 25194\n92229 100000\n64886 97318\n76429 100000\n51552 77245\n81224 100000\n43168 64587\n80133 100000\n58985 88457\n76295 100000\n75656 100000\n10391 15591\n3340 5024\n36264 54214\n76784 100000\n82312 100000\n20955 31323\n85355 100000\n47079 70483\n14258 21362\n11664 17489\n90912 100000\n10801 16203\n82980 100000\n33149 49562\n1598 2421\n70462 100000\n88937 100000\n52784 79115\n44428 66487\n97659 100000\n34510 51594\n96031 100000\n8485 12700\n12507 18750\n76003 100000\n49937 74813\n8201 12280\n73102 100000\n18744 28039\n81988 100000\n37979 56798\n552 837\n8602 12876\n90533 100000\n23532 35191\n15915 23830\n66111 99177\n52833 79186\n19371 28959\n6225 9317\n31876 47662\n39534 59165\n8405 12583\n36324 54308\n22490 33616\n29363 43859\n94876 100000\n94454 100000\n94760 100000\n59241 88839\n85164 100000\n72122 100000\n64093 96129\n89962 100000\n76040 100000\n70336 100000\n91531 100000\n97531 100000\n92445 100000\n16875 25242\n44853 67117\n30012 44859\n36880 55138\n3219 4853\n90415 100000\n58018 87022\n76663 100000\n89595 100000\n17251 25811\n39015 58386\n74030 100000\n31695 47407\n76902 100000\n53418 80061\n1878 2826\n75777 100000\n61125 91687\n25282 37773\n17343 25949\n63967 95946\n48326 72369\n21535 32199\n5797 8679\n5306 7962\n69925 100000\n52013 77951\n60475 90721\n29421 43947\n57345 85990\n97204 100000\n10920 16377\n11675 17508\n6 10\n71883 100000\n92727 100000\n12745 19107\n28661 42820\n28949 43257\n21964 32830\n96497 100000\n45861 68647\n79062 100000\n6521 9748\n93388 100000\n94546 100000\n33060 49429\n88602 100000\n85123 100000\n38739 57968\n86886 100000\n89616 100000\n43481 65057\n96205 100000\n4735 7122\n28669 42832\n79932 100000\n87065 100000\n90647 100000\n97421 100000\n83692 100000\n3508 5281\n67384 100000\n5883 8803\n65924 98889\n27554 41166\n32594 48736\n6814 10192\n65264 97892\n34223 51154\n70724 100000\n37877 56646\n74781 100000\n17968 26893\n53870 80745\n2863 4315\n53973 80902\n21184 31672\n70228 100000\n68725 100000\n47917 71763\n17482 26155\n28546 42641\n16709 24995\n17589 26310\n3813 5737\n20910 31256\n93677 100000\n88604 100000\n72203 100000\n51861 77724\n53616 80368\n9610 14406\n39335 58880\n28923 43216\n59552 89324\n71045 100000\n80132 100000\n16342 24462\n39953 59796\n31022 46382\n67541 100000\n39862 59663\n92340 100000\n40052 59941\n1444 2186\n8780 13157\n94625 100000\n54288 81376\n91264 100000\n86985 100000\n26850 40120\n66839 100000\n32481 48563\n33612 50242\n67052 100000\n19528 29189\n69394 100000\n71905 100000\n87215 100000\n21222 31728\n1329 2017\n61239 91873\n43297 64784\n35767 53469\n44432 66495\n25666 38341\n44286 66276\n43678 65362\n8314 12445\n77111 100000\n4124 6206\n48518 72655\n31223 46681\n18842 28182\n69982 100000\n12145 18218\n88059 100000\n92406 100000\n4448 6684\n87978 100000\n26319 39344\n73897 100000\n1198 1824\n87233 100000\n52941 79344\n49734 74513\n92478 100000\n90908 100000\n38520 57632\n65527 98289\n61228 91853\n70328 100000\n39 54\n40394 60456\n38386 57426\n13765 20615\n27769 41488\n9498 14246\n9538 14301\n49618 74339\n93355 100000\n42277 63258\n6338 9488\n88517 100000\n52809 79152\n42509 63601\n38752 57989\n99056 100000\n54726 82045\n81774 100000\n83584 100000\n49684 74436\n64329 96482\n59335 88980\n90714 100000\n63466 95197\n95447 100000\n6046 9051\n79541 100000\n90917 100000\n70230 100000\n46215 69183\n60833 91252\n45933 68760\n48118 72061\n74324 100000\n98484 100000\n72826 100000\n41694 62387\n38282 57267\n20139 30118\n40793 61052\n28823 43068\n6882 10293\n46175 69123\n62120 93202\n58757 88126\n18011 26959\n34420 51444\n50273 75317\n20863 31190\n66558 99865\n21883 32711\n79583 100000\n61235 91865\n10627 15944\n9835 14755\n3676 5526\n75722 100000\n73027 100000\n68454 100000\n33413 49944\n21851 32667\n81356 100000\n72864 100000\n30135 45036\n34012 50831\n98740 100000\n8096 12121\n37139 55535\n3055 4605\n45285 67776\n73831 100000\n60776 91165\n23248 34766\n10642 15967\n82830 100000\n36752 54939\n3872 5830\n9589 14376\n99497 100000\n12546 18812\n68346 100000\n24617 36798\n66214 99337\n96246 100000\n91353 100000\n93774 100000\n38493 57590\n45750 68476\n63810 95705\n70096 100000\n43393 64925\n17676 26445\n99884 100000\n39784 59547\n74594 100000\n56315 84420\n10033 15052\n83629 100000\n47699 71429\n74743 100000\n4347 6535\n30282 45264\n32602 48746\n14778 22121\n29357 43852\n13520 20260\n76244 100000\n23813 35611\n90199 100000\n30757 45984\n35659 53306\n92290 100000\n7856 11758\n3037 4573\n84432 100000\n68360 100000\n69362 100000\n55687 83483\n57336 85977\n78511 100000\n34808 52040\n72125 100000\n95617 100000\n87812 100000\n32178 48120\n92545 100000\n67568 100000\n79459 100000\n20357 30442\n5773 8648\n67271 100000\n3245 4893\n14445 21637\n25532 38146\n4140 6232\n34133 51015\n59974 89960\n76524 100000\n76225 100000\n46662 69869\n8215 12298\n24354 36414\n91317 100000\n45119 67521\n1234 1877\n48520 72658\n8255 12354\n44818 67064\n79809 100000\n67939 100000\n87357 100000\n83577 100000\n29727 44424\n58346 87517\n86178 100000\n65251 97875\n93256 100000\n76544 100000\n92047 100000\n78137 100000\n46645 69842\n72208 100000\n21249 31768\n66730 100000\n81547 100000\n65183 97768\n66793 100000\n85370 100000\n27133 40548\n27394 40930\n29198 43621\n33735 50420\n59940 89905\n15772 23619\n16789 25111\n97737 100000\n97783 100000\n53388 80015\n90244 100000\n28689 42865\n88480 100000\n52398 78536\n82339 100000\n47439 71044\n12750 19113\n66360 99554\n27653 41319\n89874 100000\n20358 30443\n18536 27731\n72186 100000\n32391 48435\n56380 84521\n83032 100000\n17472 26140\n57756 86625\n13253 19858\n59110 88640\n67529 100000\n80678 100000\n48746 73002\n96196 100000\n23162 34632\n23485 35127\n38132 57035\n62155 93256\n10523 15787\n7907 11838\n16434 24594\n47065 70462\n58420 87631\n7115 10641\n40222 60196\n73985 100000\n55327 82943\n35142 52529\n70473 100000\n96437 100000\n66773 100000\n80844 100000\n84586 100000\n18098 27084\n74292 100000\n87702 100000\n63480 95216\n34374 51377\n75013 100000\n33594 50217\n89517 100000\n56059 84039\n88034 100000\n42871 64144\n65821 98732\n38064 56933\n93 142\n437 660\n61802 92709\n27213 40658\n19014 28433\n30896 46187\n71173 100000\n4399 6612\n45850 68632\n51186 76684\n16890 25265\n63302 94955\n40386 60443\n93547 100000\n95122 100000\n45000 67339\n15919 23834\n19313 28876\n36093 53964\n47934 71787\n24378 36445\n87006 100000\n5990 8966\n97505 100000\n89913 100000\n37145 55545\n70134 100000\n22775 34056\n9327 13995\n43537 65142\n60704 91059\n30677 45856\n71755 100000\n52867 79235\n66581 99901\n94916 100000\n28222 42179\n92688 100000\n72471 100000\n66756 100000\n90881 100000\n87051 100000\n90794 100000\n79868 100000\n40075 59976\n52411 78552\n37055 55408\n83096 100000\n41806 62549\n89414 100000\n2533 3818\n43633 65296\n11628 17432\n32880 49157\n51909 77791\n40065 59960\n20637 30864\n72632 100000\n8671 12988\n71153 100000\n27338 40846\n56621 84881\n56948 85373\n49696 74455\n94574 100000\n21318 31864\n18546 27744\n23292 34828\n46626 69810\n90368 100000\n971 1480\n86361 100000\n39771 59525\n9350 14030\n91758 100000\n85802 100000\n58368 87550\n65904 98856\n18712 27992\n8832 13235\n12692 19026\n82912 100000\n40171 60122\n94834 100000\n72691 100000\n22852 34164\n19025 28444\n49483 74133\n77579 100000\n46453 69552\n17426 26073\n78440 100000\n14384 21543\n40750 60986\n90362 100000\n35027 52363\n65447 98168\n22485 33608\n7825 11712\n37878 56648\n60614 90924\n29180 43597\n26477 39579\n86199 100000\n23995 35888\n23815 35615\n86852 100000\n27704 41386\n36897 55165\n64877 97304\n7908 11839\n3066 4621\n24056 35981\n22042 32945\n35443 52985\n78606 100000\n72201 100000\n2194 3309\n90643 100000\n89778 100000\n88656 100000\n18037 26997\n23431 35038\n13127 19671\n84809 100000\n1696 2563\n40675 60875\n3472 5230\n90315 100000\n7509 11250\n92913 100000\n48278 72298\n99699 100000\n59569 89347\n94917 100000\n95881 100000\n84847 100000\n31944 47765\n26282 39290\n93336 100000\n42628 63782\n16924 25316\n61852 92788\n98535 100000\n26838 40101\n30857 46131\n61851 92787\n13175 19741\n23262 34786\n36743 54927\n17679 26449\n48731 72980\n56295 84389\n22548 33709\n64955 97420\n73021 100000\n27707 41392\n33852 50587\n14695 22000\n9864 14796\n54749 82080\n54570 81802\n35762 53462\n49675 74424\n37433 55974\n2974 4481\n16829 25165\n72541 100000\n69692 100000\n51693 77458\n66143 99227\n36069 53926\n94968 100000\n92572 100000\n59220 88810\n55750 83581\n2872 4328\n31007 46358\n67121 100000\n72924 100000\n48265 72280\n46348 69384\n58865 88284\n3106 4684\n96338 100000\n46500 69624\n82311 100000\n14397 21562\n5157 7743\n716 1086\n13942 20879\n11682 17517\n36818 55040\n44892 67173\n28104 41995\n26376 39426\n9824 14739\n55298 82903\n30698 45889\n32923 49223\n49542 74224\n28283 42266\n18187 27212\n4866 7319\n95724 100000\n75301 100000\n70123 100000\n62533 93804\n61025 91533\n14771 22110\n33637 50273\n2322 3503\n19753 29531\n64979 97451\n31452 47026\n73240 100000\n48684 72909\n43203 64642\n54169 81205\n85220 100000\n62182 93299\n28193 42133\n30267 45239\n54702 82007\n99301 100000\n16165 24205\n11177 16751\n74737 100000\n17256 25820\n26191 39145\n47239 70728\n5034 7563\n67594 100000\n68736 100000\n69610 100000\n84996 100000\n97121 100000\n33414 49945\n27763 41479\n69733 100000\n32918 49217\n56957 85386\n99786 100000\n83814 100000\n891 1361\n81332 100000\n55320 82933\n79246 100000\n52178 78196\n75119 100000\n86499 100000\n63672 95505\n42054 62917\n99999 100000\n41921 62720\n53523 80225\n36749 54935\n69678 100000\n49510 74173\n42044 62902\n5720 8570\n23527 35184\n5713 8559\n81972 100000\n14521 21751\n90941 100000\n95463 100000\n40316 60330\n37280 55747\n54864 82253\n68919 100000\n96442 100000\n59282 88900\n26327 39357\n27622 41275\n89979 100000\n65990 98989\n54642 81916\n65333 97994\n40450 60537\n402 604\n7483 11208\n42084 62961\n98886 100000\n42282 63265\n38240 57205\n12765 19138\n75984 100000\n81524 100000\n98742 100000\n31971 47804\n43916 65728\n76990 100000\n9190 13789\n39181 58633\n93089 100000\n65182 97766\n31803 47555\n47467 71083\n61572 92368\n6622 9906\n27111 40515\n3157 4758\n35973 53773\n51476 77129\n40256 60240\n48500 72627\n8065 12075\n98132 100000\n59033 88524\n27396 40934\n33955 50743\n9137 13708\n1423 2158\n28298 42289\n63196 94793\n32664 48839\n89550 100000\n26187 39140\n32749 48965\n73498 100000\n61697 92554\n76486 100000\n78256 100000\n14696 22002\n43560 65179\n50642 75869\n85122 100000\n66448 99694\n38503 57605\n75232 100000\n3248 4897\n79282 100000\n19130 28608\n13696 20511\n32528 48636\n10229 15350\n58108 87155\n97895 100000\n22464 33578\n80378 100000\n84748 100000\n80523 100000\n97974 100000\n92007 100000\n90708 100000\n55527 83236\n66375 99577\n23941 35807\n68188 100000\n5107 7670\n13596 20370\n34853 52103\n91906 100000\n64409 96593\n94748 100000\n89815 100000\n87867 100000\n65946 98922\n7175 10735\n29583 44190\n27525 41124\n28933 43233\n67851 100000\n96339 100000\n12083 18128\n23767 35537\n16380 24515\n60690 91036\n99296 100000\n90691 100000\n19317 28882\n78128 100000\n25470 38055\n30799 46045\n25147 37568\n83743 100000\n41901 62689\n30729 45941\n1019 1557\n77489 100000\n49445 74078\n63074 94610\n95468 100000\n88009 100000\n82123 100000\n1018 1556\n48911 73247\n10301 15460\n14220 21305\n5485 8222\n39387 58948\n79721 100000\n9848 14775\n18937 28326\n42165 63090\n78453 100000\n39685 59398\n68371 100000\n44833 67086\n94896 100000\n17113 25598\n76773 100000\n76271 100000\n28983 43306\n16087 24091\n25344 37863\n74342 100000\n88334 100000\n45422 67984\n48959 73322\n88224 100000\n88600 100000\n36811 55030\n40506 60622\n73930 100000\n857 1305\n18415 27558\n59002 88483\n34816 52050\n49804 74617\n62676 94015\n28621 42757\n43044 64398\n59375 89044\n4789 7209\n2983 4495\n56206 84256\n88652 100000\n39532 59162\n27632 41289\n73468 100000\n16271 24361\n85688 100000\n28326 42333\n14238 21328\n6794 10161\n72401 100000\n15503 23212\n92116 100000\n59086 88603\n10954 16427\n9669 14500\n20642 30870\n63637 95450\n98812 100000\n11254 16874\n68653 100000\n1300 1974\n14974 22417\n11219 16820\n9776 14669\n82923 100000\n29049 43405\n7758 11611\n2715 4093\n38575 57719\n95958 100000\n66405 99630\n16188 24238\n55841 83711\n23569 35243\n59180 88749\n43411 64952\n35876 53628\n47653 71360\n42982 64309\n99942 100000\n76933 100000\n45198 67642\n48488 72608\n87052 100000\n49628 74353\n29445 43982\n77944 100000\n50818 76128\n22635 33841\n84335 100000\n43238 64697\n30128 45024\n30690 45876\n66660 100000\n5079 7628\n32974 49298\n71532 100000\n49289 73834\n360 539\n34005 50822\n30478 45558\n16624 24869\n40828 61105\n40480 60584\n33788 50493\n1227 1868\n24745 36981\n33802 50513\n52775 79103\n22206 33187\n85478 100000\n61870 92816\n39966 59813\n64523 96771\n20887 31221\n22501 33632\n39353 58903\n57611 86398\n95889 100000\n60964 91442\n2812 4241\n89218 100000\n46876 70186\n78043 100000\n13526 20269\n27253 40719\n45630 68295\n47193 70660\n27691 41369\n3098 4672\n49169 73648\n90401 100000\n17819 26654\n42335 63349\n56864 85243\n16096 24103\n65579 98364\n25240 37706\n6035 9035\n3243 4890\n52949 79357\n4841 7283\n32590 48731\n42051 62913\n69222 100000\n68598 100000\n60257 90390\n50857 76189\n83677 100000\n33435 49974\n56529 84745\n41437 62014\n13762 20610\n60826 91243\n37184 55603\n77145 100000\n11909 17860\n19827 29639\n9600 14390\n53921 80825\n39287 58805\n32538 48654\n11300 16944\n53496 80183\n13570 20333\n7217 10801\n74446 100000\n37050 55401\n33943 50722\n41572 62208\n21587 32275\n42121 63016\n15477 23170\n88776 100000\n40902 61215\n17319 25916\n32936 49243\n79033 100000\n34173 51078\n80925 100000\n82680 100000\n16900 25279\n19005 28422\n7691 11513\n54613 81868\n69965 100000\n27797 41533\n25803 38548\n86682 100000\n35153 52548\n47458 71070\n70168 100000\n23020 34417\n2985 4497\n16610 24848\n77196 100000\n92622 100000\n97994 100000\n16406 24555\n5669 8494\n52951 79360\n33642 50280\n30134 45034\n11433 17142\n98840 100000\n233 353\n66588 99913\n13902 20817\n53567 80292\n75388 100000\n44000 65850\n38121 57019\n52747 79059\n15315 22931\n97449 100000\n28692 42871\n38800 58056\n76620 100000\n39916 59743\n42802 64041\n1374 2085\n40165 60111\n62677 94017\n20277 30325\n55986 83928\n62415 93635\n20420 30542\n31266 46748\n2166 3262\n29891 44678\n15397 23050\n17348 25956\n48248 72257\n96407 100000\n91594 100000\n76758 100000\n80153 100000\n34152 51045\n32360 48389\n7582 11353\n11621 17423\n99278 100000\n95360 100000\n37842 56594\n55596 83346\n31553 47183\n40639 60823\n78541 100000\n3706 5573\n78864 100000\n31875 47660\n47171 70630\n23846 35659\n43725 65431\n56117 84125\n76000 100000\n89015 100000\n66240 99373\n72964 100000\n50038 74961\n19248 28781\n56753 85074\n75368 100000\n71508 100000\n7710 11541\n639 975\n74107 100000\n14728 22051\n78284 100000\n92851 100000\n89790 100000\n32848 49111\n92667 100000\n10082 15128\n36193 54109\n91344 100000\n77632 100000\n58594 87884\n15427 23099\n49733 74512\n94182 100000\n67901 100000\n67243 100000\n36530 54622\n71790 100000\n25839 38605\n20682 30926\n70582 100000\n92926 100000\n70970 100000\n36116 54000\n52062 78026\n15303 22914\n94587 100000\n14309 21439\n96726 100000\n80254 100000\n98418 100000\n49408 74021\n50687 75934\n90859 100000\n1680 2539\n10885 16323\n94134 100000\n71040 100000\n87490 100000\n91632 100000\n75105 100000\n84725 100000\n10647 15975\n97875 100000\n92927 100000\n77089 100000\n37003 55325\n68243 100000\n57389 86052\n46200 69159\n43661 65336\n94344 100000\n14433 21619\n93465 100000\n31354 46879\n74902 100000\n1306 1983\n69577 100000\n55809 83664\n81515 100000\n94281 100000\n92664 100000\n71735 100000\n59365 89028\n81009 100000\n45235 67700\n25098 37496\n13151 19706\n79927 100000\n26158 39093\n25647 38308\n81251 100000\n19320 28886\n9351 14032\n41923 62723\n72867 100000\n2328 3513\n29402 43920\n13299 19929\n1131 1729\n52295 78385\n13705 20525\n34628 51773\n61324 92006\n40353 60389\n47754 71518\n55617 83378\n72596 100000\n76612 100000\n78258 100000\n61656 92487\n22200 33179\n66508 99786\n29478 44031\n97992 100000\n62331 93521\n41956 62769\n8344 12491\n28544 42638\n76592 100000\n28051 41914\n57564 86324\n17408 26047\n25875 38660\n76044 100000\n78022 100000\n26739 39960\n32034 47903\n55419 83077\n25708 38406\n41614 62271\n98868 100000\n63969 95948\n81271 100000\n84993 100000\n24520 36645\n66252 99390\n88273 100000\n17044 25497\n76121 100000\n88651 100000\n10390 15589\n24872 37165\n57027 85490\n41176 61629\n72682 100000\n86171 100000\n50102 75058\n48935 73284\n11772 17651\n10607 15916\n36385 54408\n31142 46565\n936 1430\n75214 100000\n64503 96738\n38394 57438\n26308 39327\n2619 3951\n63578 95361\n37224 55665\n124 188\n91697 100000\n7200 10776\n35966 53763\n78293 100000\n38429 57491\n3930 5927\n91588 100000\n20058 29990\n14262 21368\n29670 44336\n28354 42373\n85595 100000\n27984 41813\n36600 54721\n67779 100000\n73999 100000\n43114 64507\n12309 18464\n99636 100000\n18206 27242\n97464 100000\n1615 2446\n16669 24933\n49934 74808\n83024 100000\n25127 37537\n83834 100000\n86013 100000\n88888 100000\n70189 100000\n39533 59163\n80032 100000\n23843 35653\n67537 100000\n44850 67112\n43565 65186\n51166 76657\n58645 87960\n54316 81418\n71943 100000\n78030 100000\n28720 42910\n31157 46587\n12950 19410\n9602 14394\n19737 29508\n6404 9584\n74817 100000\n75359 100000\n48617 72811\n83089 100000\n45640 68310\n53022 79461\n26203 39164\n82036 100000\n39161 58602\n13602 20378\n89106 100000\n38176 57103\n25790 38529\n9678 14515\n10256 15392\n39384 58945\n51832 77680\n66309 99481\n50864 76200\n81746 100000\n60758 91142\n7706 11536\n46536 69677\n82986 100000\n30071 44942\n87005 100000\n38173 57099\n55400 83052\n49137 73601\n214 325\n31614 47275\n24744 36980\n31542 47164\n53310 79893\n11526 17282\n87408 100000\n22789 34076\n5224 7846\n18897 28268\n6777 10139\n76920 100000\n5839 8741\n49453 74088\n65120 97670\n24480 36589\n94348 100000\n54480 81666\n92998 100000\n5834 8734\n57906 86851\n62771 94155\n45733 68452\n14205 21281\n83162 100000\n53142 79646\n28074 41949\n74300 100000\n64693 97029\n94055 100000\n96000 100000\n66029 99049\n45878 68676\n85404 100000\n43025 64370\n91199 100000\n93893 100000\n33264 49730\n76072 100000\n67339 100000\n37083 55453\n1866 2807\n73322 100000\n32184 48128\n70316 100000\n18635 27873\n53380 80004\n72783 100000\n38349 57366\n50172 75163\n58471 87704\n31587 47231\n13040 19546\n97345 100000\n99182 100000\n35847 53585\n50763 76041\n23437 35048\n44781 67014\n60589 90888\n72300 100000\n9780 14673\n49998 74901\n59102 88626\n15110 22620\n21828 32636\n1868 2810\n52808 79150\n88877 100000\n15467 23156\n74426 100000\n52902 79283\n68457 100000\n42997 64329\n70556 100000\n24828 37100\n13344 19998\n99211 100000\n23135 34594\n21463 32088\n14612 21876\n61424 92148\n574 871\n78771 100000\n68480 100000\n65436 98151\n68790 100000\n80086 100000\n19314 28878\n93901 100000\n74517 100000\n1470 2227\n98615 100000\n97587 100000\n61357 92054\n65771 98660\n31589 47235\n29092 43467\n46182 69134\n13852 20747\n6122 9168\n33536 50126\n83788 100000\n79038 100000\n57838 86748\n32161 48093\n84422 100000\n36162 54065\n38655 57844\n92162 100000\n92230 100000\n95989 100000\n46814 70094\n92484 100000\n92190 100000\n66270 99422\n53818 80667\n50117 75081\n72681 100000\n24998 37347\n64606 96902\n67514 100000\n42453 63522\n55360 82993\n1501 2275\n58572 87854\n44302 66300\n4283 6438\n25909 38710\n47731 71479\n79930 100000\n58092 87130\n60417 90625\n40026 59901\n77505 100000\n84446 100000\n48176 72147\n90734 100000\n8388 12558\n17638 26388\n64239 96347\n90105 100000\n99597 100000\n24426 36511\n23094 34533\n74032 100000\n2050 3089\n3266 4925\n79960 100000\n72144 100000\n48178 72151\n89784 100000\n45979 68830\n63737 95600\n93495 100000\n15009 22466\n35306 52779\n73411 100000\n59315 88953\n31308 46813\n75953 100000\n15239 22811\n28409 42444\n89640 100000\n41760 62481\n56017 83971\n14119 21146\n14686 21985\n66750 100000\n86942 100000\n65894 98840\n74468 100000\n67862 100000\n15745 23581\n3718 5592\n92396 100000\n10758 16139\n4300 6462\n73706 100000\n9761 14646\n28663 42823\n59730 89585\n40061 59954\n72272 100000\n58951 88407\n49148 73617\n68776 100000\n41200 61669\n12196 18294\n26809 40061\n28037 41894\n64475 96691\n3033 4569\n52261 78327\n96963 100000\n7763 11618\n52034 77981\n60380 90569\n51161 76649\n71604 100000\n80302 100000\n94196 100000\n24552 36695\n75473 100000\n27349 40861\n53028 79469\n88664 100000\n92759 100000\n49811 74625\n10067 15103\n92156 100000\n51318 76893\n86637 100000\n1 2\n58062 87086\n87828 100000\n12566 18838\n6371 9538\n26757 39985\n48260 72272\n16821 25156\n73884 100000\n74975 100000\n8121 12159\n97816 100000\n16345 24465\n50858 76190\n55045 82534\n49634 74363\n27413 40957\n5879 8796\n68337 100000\n51270 76815\n29590 44202\n65570 98352\n55257 82845\n24739 36973\n16479 24653\n1429 2165\n22819 34117\n11934 17898\n89728 100000\n68409 100000\n73986 100000\n96743 100000\n91200 100000\n73333 100000\n90524 100000\n16921 25311\n97253 100000\n42663 63837\n58301 87443\n50073 75012\n33608 50237\n87385 100000\n39186 58642\n61500 92261\n4388 6594\n59331 88975\n52478 78654\n50657 75892\n65828 98743\n31494 47091\n42114 63007\n36026 53855\n92872 100000\n66327 99505\n4997 7511\n82674 100000\n98239 100000\n30634 45789\n7117 10645\n92304 100000\n67093 100000\n22709 33956\n29634 44275\n44898 67183\n41606 62261\n68287 100000\n45194 67636\n1960 2949\n76697 100000\n91821 100000\n37406 55932\n91267 100000\n67245 100000\n4984 7489\n69706 100000\n20228 30251\n10829 16237\n74908 100000\n84180 100000\n6447 9641\n29441 43977\n54606 81855\n63674 95507\n95276 100000\n14147 21189\n13563 20324\n13228 19821\n18299 27380\n97028 100000\n92507 100000\n17462 26125\n40746 60978\n84236 100000\n32960 49278\n98410 100000\n58900 88334\n99931 100000\n13963 20914\n17336 25940\n28448 42504\n25109 37514\n42745 63961\n6785 10149\n89710 100000\n66239 99371\n53615 80366\n20499 30666\n85554 100000\n46516 69648\n66229 99355\n82789 100000\n12124 18191\n80920 100000\n11103 16644\n5460 8189\n24638 36825\n95437 100000\n30917 46219\n8643 12942\n66505 99781\n33997 50809\n56595 84840\n1136 1735\n33501 50075\n46082 68983\n81681 100000\n3000 4521\n20913 31260\n31540 47162\n91006 100000\n97105 100000\n99274 100000\n18970 28374\n45941 68773\n12981 19461\n89942 100000\n11627 17431\n86216 100000\n75660 100000\n39096 58502\n73238 100000\n81866 100000\n4787 7206\n30403 45446\n20426 30553\n98323 100000\n14789 22137\n68578 100000\n83340 100000\n4903 7371\n56912 85314\n7083 10594\n58148 87207\n47691 71415\n18038 26998\n85650 100000\n69152 100000\n99093 100000\n25668 38344\n64417 96605\n30696 45886\n87663 100000\n8042 12040\n19747 29521\n32216 48180\n72911 100000\n14982 22428\n90853 100000\n23658 35374\n59319 88957\n21487 32122\n12791 19174\n1027 1570\n28545 42640\n71497 100000\n32662 48836\n73404 100000\n54194 81242\n89915 100000\n29087 43460\n53934 80844\n11029 16536\n15141 22663\n63420 95132\n42499 63588\n79052 100000\n50312 75377\n4065 6122\n31554 47184\n40167 60114\n32998 49334\n90375 100000\n54525 81732\n99425 100000\n56550 84777\n54167 81201\n81209 100000\n50393 75498\n38431 57495\n57292 85912\n22715 33965\n86096 100000\n9048 13573\n11553 17320\n13919 20844\n41729 62438\n32559 48685\n22109 33047\n48967 73335\n45987 68842\n83921 100000\n32105 48010\n67678 100000\n78552 100000\n85722 100000\n3468 5225\n9353 14035\n38032 56882\n59665 89491\n82310 100000\n78613 100000\n75078 100000\n68475 100000\n92643 100000\n19100 28559\n22769 34048\n60839 91261\n63569 95347\n72258 100000\n3118 4703\n27242 40702\n33824 50545\n8960 13436\n59882 89814\n19266 28809\n70700 100000\n12829 19233\n62880 94324\n45263 67745\n96118 100000\n6624 9909\n91499 100000\n45465 68050\n6257 9363\n42570 63694\n82415 100000\n92644 100000\n79968 100000\n21924 32773\n52109 78098\n77656 100000\n45857 68642\n96792 100000\n67427 100000\n90200 100000\n3798 5713\n66610 99946\n75198 100000\n2723 4104\n93558 100000\n40211 60179\n85038 100000\n67396 100000\n44655 66828\n34318 51295\n76094 100000\n37717 56403\n79010 100000\n23173 34648\n86359 100000\n68412 100000\n14135 21169\n35100 52468\n24119 36071\n97065 100000\n85131 100000\n5734 8591\n94067 100000\n38274 57256\n38372 57402\n89271 100000\n55956 83885\n26355 39397\n55479 83166\n55181 82734\n26153 39085\n70222 100000\n72998 100000\n21224 31730\n31913 47720\n73938 100000\n45859 68645\n1414 2143\n10604 15911\n74319 100000\n10928 16388\n48505 72634\n91994 100000\n10929 16390\n26502 39619\n39037 58417\n70017 100000\n12499 18739\n19619 29330\n73701 100000\n29942 44754\n9491 14236\n35477 53034\n96894 100000\n95180 100000\n36008 53825\n71687 100000\n81863 100000\n82271 100000\n68125 100000\n3522 5302\n29469 44016\n56393 84540\n29780 44504\n78614 100000\n35329 52817\n15245 22822\n88470 100000\n66855 100000\n16089 24094\n47095 70511\n95346 100000\n46745 69987\n86273 100000\n92209 100000\n37026 55360\n62986 94481\n11183 16763\n2149 3240\n50707 75960\n83442 100000\n18383 27509\n4023 6063\n99311 100000\n28132 42036\n58514 87768\n17564 26273\n86055 100000\n66325 99502\n29226 43664\n93585 100000\n34475 51537\n23834 35640\n7250 10853\n13061 19575\n40405 60473\n48653 72863\n5028 7555\n87084 100000\n14949 22382\n21030 31443\n40920 61241\n58404 87608\n15466 23155\n56182 84224\n55333 82955\n89533 100000\n19826 29637\n53324 79914\n12863 19285\n49965 74851\n65752 98632\n68769 100000\n10097 15150\n18693 27964\n70994 100000\n28718 42908\n76817 100000\n4234 6371\n98675 100000\n53397 80028\n74888 100000\n75611 100000\n54239 81306\n82884 100000\n33213 49655\n167 252\n51319 76895\n47943 71800\n50403 75512\n40375 60425\n77645 100000\n7658 11463\n14820 22185\n83266 100000\n13578 20345\n39083 58483\n48132 72084\n66464 99720\n29925 44727\n44054 65930\n93085 100000\n56746 85065\n54751 82084\n89817 100000\n95173 100000\n27915 41711\n44420 66476\n80369 100000\n68906 100000\n5618 8420\n79785 100000\n72717 100000\n65356 98029\n47139 70581\n17165 25680\n63009 94516\n26068 38958\n54330 81440\n69062 100000\n45128 67535\n38732 57957\n24167 36139\n45757 68490\n14926 22350\n88063 100000\n83562 100000\n50428 75549\n20212 30223\n48376 72441\n69960 100000\n8348 12495\n42357 63383\n30089 44970\n84736 100000\n65288 97930\n76269 100000\n62069 93124\n16456 24623\n94564 100000\n66616 99954\n95905 100000\n81156 100000\n99253 100000\n628 956\n47224 70705\n91518 100000\n1628 2466\n87027 100000\n15892 23795\n73068 100000\n8519 12750\n74209 100000\n8161 12219\n79590 100000\n58883 88308\n70260 100000\n55210 82774\n88736 100000\n60245 90375\n15219 22781\n50666 75904\n16909 25293\n16623 24868\n17366 25983\n3882 5846\n85408 100000\n58606 87903\n39275 58787\n1910 2875\n33027 49378\n8895 13333\n56893 85288\n29482 44038\n31935 47752\n29597 44212\n81472 100000\n12940 19397\n63246 94868\n77100 100000\n35541 53128\n37492 56058\n14103 21123\n95610 100000\n81519 100000\n53378 80002\n95077 100000\n48992 73372\n5692 8528\n80412 100000\n51224 76743\n86277 100000\n51918 77806\n53803 80646\n12075 18116\n45528 68143\n68686 100000\n3431 5165\n49626 74351\n61875 92826\n18992 28406\n43270 64741\n6177 9244\n77709 100000\n43450 65012\n75296 100000\n56575 84811\n31319 46832\n92330 100000\n1496 2267\n8200 12278\n71992 100000\n17351 25962\n66338 99521\n35203 52623\n99538 100000\n81931 100000\n36124 54011\n55756 83590\n69642 100000\n64526 96776\n1630 2469\n41471 62062\n43830 65593\n39867 59672\n55505 83203\n34960 52261\n33170 49594\n20117 30082\n40444 60529\n11932 17895\n39029 58406\n86278 100000\n97129 100000\n81025 100000\n90837 100000\n13588 20359\n50266 75307\n81254 100000\n20858 31182\n70557 100000\n95450 100000\n69807 100000\n11643 17457\n60 89\n63880 95808\n88598 100000\n30969 46299\n52946 79352\n28698 42882\n57250 85847\n84682 100000\n82198 100000\n86373 100000\n55458 83138\n49397 74002\n37132 55524\n19423 29047\n22785 34070\n97804 100000\n33800 50510\n82395 100000\n44461 66538\n35753 53450\n60887 91334\n35535 53121\n16445 24607\n4636 6972\n93138 100000\n60273 90413\n74021 100000\n94958 100000\n55256 82844\n38624 57796\n13403 20085\n61314 91989\n88068 100000\n91036 100000\n10743 16118\n36605 54729\n9211 13824\n90256 100000\n4377 6578\n27100 40499\n18443 27599\n81852 100000\n62531 93802\n61558 92347\n68450 100000\n29743 44449\n882 1346\n42157 63078\n1121 1715\n97801 100000\n11730 17587\n24189 36173\n51678 77436\n94597 100000\n7245 10845\n64893 97328\n28514 42591\n72671 100000\n3316 4992\n31303 46805\n41350 61893\n52086 78062\n58880 88305\n14005 20978\n87769 100000\n51540 77227\n67491 100000\n98207 100000\n58234 87342\n15626 23404\n78946 100000\n30284 45267\n75084 100000\n96004 100000\n26558 39699\n35205 52625\n53389 80017\n22811 34107\n23745 35505\n77096 100000\n45536 68154\n97520 100000\n27784 41513\n73642 100000\n49688 74442\n70066 100000\n12590 18877\n50289 75341\n50935 76310\n19983 29876\n2070 3119\n30208 45151\n72901 100000\n24101 36045\n86246 100000\n43304 64794\n22560 33727\n21683 32414\n57041 85514\n39844 59635\n21739 32502\n99007 100000\n68174 100000\n49003 73389\n51477 77131\n63401 95103\n90534 100000\n35029 52366\n94002 100000\n63455 95181\n70767 100000\n59356 89016\n5572 8357\n44121 66031\n46957 70302\n90266 100000\n72248 100000\n23029 34432\n5465 8194\n64081 96109\n76115 100000\n71205 100000\n23300 34840\n52860 79226\n83888 100000\n29035 43387\n23075 34504\n58612 87909\n55629 83395\n70725 100000\n30894 46185\n40753 60991\n9306 13963\n250 380\n35413 52940\n22449 33556\n52799 79138\n19237 28763\n90053 100000\n58508 87758\n50997 76403\n13062 19577\n21680 32409\n71686 100000\n96662 100000\n8872 13296\n3084 4652\n41594 62243\n28675 42842\n90977 100000\n53792 80631\n33748 50435\n26787 40024\n27900 41689\n49999 74903\n82564 100000\n84846 100000\n77671 100000\n96712 100000\n56673 84957\n61777 92671\n69262 100000\n46241 69223\n21221 31727\n50694 75942\n18426 27573\n12531 18786\n28256 42228\n73563 100000\n20567 30762\n19515 29171\n8188 12260\n39995 59855\n30073 44945\n56928 85340\n10934 16400\n82647 100000\n73883 100000\n93175 100000\n80693 100000\n8391 12562\n87047 100000\n52298 78390\n52030 77975\n81936 100000\n80815 100000\n71471 100000\n6323 9467\n47856 71671\n13700 20517\n15732 23561\n74198 100000\n62290 93459\n33728 50410\n45253 67729\n53544 80256\n29112 43496\n61040 91557\n92828 100000\n89231 100000\n57953 86921\n68753 100000\n55536 83250\n43264 64732\n85378 100000\n35534 53120\n98131 100000\n88172 100000\n18638 27877\n3257 4909\n46682 69898\n63543 95306\n51974 77890\n76727 100000\n64448 96647\n46914 70243\n84940 100000\n51663 77412\n5532 8290\n69470 100000\n54257 81334\n8022 12009\n13260 19867\n36055 53901\n86369 100000\n84225 100000\n73038 100000\n52969 79391\n42790 64024\n21510 32160\n64205 96298\n13429 20125\n88697 100000\n30889 46177\n70293 100000\n71998 100000\n98113 100000\n11542 17305\n68080 100000\n10458 15688\n94562 100000\n89632 100000\n36809 55027\n34264 51213\n90668 100000\n7772 11634\n6862 10266\n90483 100000\n12371 18554\n35717 53398\n15849 23728\n65074 97599\n19177 28674\n34383 51391\n21202 31701\n15265 22856\n14257 21360\n17707 26487\n64795 97179\n60954 91429\n33416 49947\n69717 100000\n91710 100000\n36039 53872\n22854 34168\n26109 39018\n24234 36239\n52698 78990\n26987 40328\n5381 8073\n84 128\n40010 59878\n3051 4598\n92512 100000\n51375 76979\n62614 93926\n6288 9411\n83129 100000\n62800 94202\n65575 98358\n83953 100000\n72994 100000\n19310 28873\n2086 3146\n78479 100000\n86151 100000\n91813 100000\n46158 69095\n19787 29576\n85231 100000\n5380 8071\n94370 100000\n38062 56929\n32185 48129\n60194 90295\n77016 100000\n82828 100000\n27351 40864\n97997 100000\n22681 33911\n52573 78803\n19654 29385\n82284 100000\n67280 100000\n34302 51271\n8614 12895\n40039 59921\n92841 100000\n33908 50669\n34564 51677\n99563 100000\n4817 7245\n39144 58575\n17465 26129\n56230 84285\n61170 91764\n69244 100000\n32285 48279\n66094 99150\n66439 99680\n76198 100000\n67884 100000\n1035 1582\n34373 51376\n30202 45142\n86750 100000\n11063 16586\n69654 100000\n64633 96942\n62749 94124\n67738 100000\n58139 87197\n89046 100000\n44700 66893\n82711 100000\n57312 85943\n56952 85378\n22343 33388\n40412 60483\n98618 100000\n18414 27556\n28795 43021\n40650 60838\n68606 100000\n60894 91344\n64073 96099\n97179 100000\n65502 98255\n68974 100000\n87901 100000\n27852 41615\n24908 37220\n78533 100000\n52268 78341\n54350 81470\n75257 100000\n35405 52929\n55233 82808\n52870 79238\n70912 100000\n25926 38737\n57046 85522\n73450 100000\n3896 5868\n87046 100000\n174 261\n7548 11306\n63931 95886\n65765 98650\n5324 7988\n44583 66724\n75464 100000\n49279 73823\n83948 100000\n21396 31983\n97489 100000\n13479 20196\n95525 100000\n19529 29190\n12641 18950\n1246 1897\n86084 100000\n99347 100000\n60301 90455\n62631 93950\n54278 81362\n41891 62673\n95868 100000\n92054 100000\n41475 62069\n39672 59380\n83204 100000\n16157 24192\n29848 44608\n37977 56795\n37780 56496\n1665 2521\n87344 100000\n84419 100000\n50466 75612\n45477 68069\n61444 92177\n70876 100000\n44439 66503\n54802 82163\n56272 84347\n40508 60624\n3664 5504\n6101 9137\n29123 43509\n5247 7880\n9566 14343\n82623 100000\n72005 100000\n10835 16245\n86496 100000\n11885 17821\n11548 17314\n50990 76391\n60250 90381\n22922 34272\n30122 45016\n90070 100000\n84229 100000\n83463 100000\n96793 100000\n36806 55021\n87832 100000\n38266 57245\n22204 33185\n26026 38892\n82761 100000\n59965 89946\n21125 31585\n4466 6711\n97631 100000\n85262 100000\n23703 35441\n69777 100000\n3209 4839\n45359 67886\n27409 40951\n61322 92003\n15114 22625\n77799 100000\n86360 100000\n40467 60563\n15800 23660\n34316 51292\n9228 13852\n4631 6964\n32752 48970\n45868 68661\n86239 100000\n84097 100000\n44756 66977\n40104 60018\n71931 100000\n68317 100000\n66720 100000\n73424 100000\n8912 13356\n88551 100000\n34195 51111\n21684 32416\n81451 100000\n88083 100000\n1834 2761\n53433 80086\n78426 100000\n47949 71807\n4835 7274\n68044 100000\n33731 50415\n6417 9603\n64672 96998\n80073 100000\n49243 73769\n95034 100000\n91087 100000\n42455 63524\n96943 100000\n73438 100000\n93487 100000\n42471 63546\n19956 29832\n40879 61181\n63483 95219\n12064 18100\n78042 100000\n17995 26936\n26661 39843\n95209 100000\n34457 51507\n86633 100000\n97235 100000\n70900 100000\n82839 100000\n69301 100000\n79029 100000\n82191 100000\n54683 81978\n43974 65810\n56668 84949\n2753 4151\n53533 80239\n45445 68016\n29890 44676\n85232 100000\n42645 63810\n66172 99274\n27844 41603\n55461 83143\n33172 49597\n15489 23190\n71230 100000\n38446 57518\n42197 63134\n19758 29540\n29418 43942\n10938 16406\n64858 97275\n24950 37278\n48472 72583\n89201 100000\n50922 76289\n68172 100000\n38182 57113\n81698 100000\n60391 90584\n79798 100000\n40893 61201\n9863 14795\n5902 8834\n31895 47693\n97557 100000\n97896 100000\n88914 100000\n78941 100000\n36249 54190\n29651 44306\n63501 95244\n89681 100000\n37949 56752\n87679 100000\n78390 100000\n23082 34514\n64358 96525\n56554 84781\n23776 35552\n25306 37806\n54369 81502\n88683 100000\n40208 60176\n59222 88812\n26931 40245\n59728 89583\n71128 100000\n53624 80382\n67403 100000\n97202 100000\n60074 90110\n70736 100000\n61295 91959\n43212 64658\n70915 100000\n11946 17917\n50579 75784\n72949 100000\n34621 51763\n51488 77148\n93431 100000\n2309 3483\n55534 83246\n34291 51253\n81467 100000\n8513 12743\n3964 5975\n11819 17718\n78637 100000\n82689 100000\n10902 16349\n44493 66586\n1497 2268\n64946 97406\n65159 97730\n51682 77443\n29964 44785\n13069 19586\n64257 96377\n26560 39701\n39214 58690\n16788 25110\n72415 100000\n25698 38389\n18736 28028\n62864 94300\n59304 88936\n82876 100000\n5801 8685\n40586 60745\n69725 100000\n70702 100000\n40002 59865\n98809 100000\n83268 100000\n59692 89528\n75332 100000\n9969 14949\n6347 9502\n4796 7216\n98134 100000\n44515 66621\n42829 64081\n89940 100000\n86305 100000\n86099 100000\n51217 76731\n65624 98440\n91271 100000\n43149 64558\n86236 100000\n19018 28437\n49124 73579\n16641 24893\n48610 72800\n58054 87073\n86893 100000\n30565 45684\n97762 100000\n48203 72185\n84931 100000\n5531 8289\n7122 10652\n26631 39802\n90306 100000\n56547 84773\n52794 79132\n44943 67257\n61070 91604\n55076 82578\n39245 58742\n6353 9512\n58334 87497\n23339 34902\n50479 75633\n23981 35866\n39469 59070\n84021 100000\n91912 100000\n37464 56018\n50259 75296\n875 1335\n88266 100000\n90957 100000\n61980 92984\n10381 15577\n45890 68694\n89553 100000\n6248 9348\n10284 15436\n27965 41786\n67817 100000\n4640 6977\n80658 100000\n19546 29220\n38698 57908\n62012 93029\n20149 30132\n67430 100000\n80324 100000\n28460 42519\n33931 50703\n3484 5249\n13083 19608\n51355 76948\n42331 63342\n19599 29300\n84118 100000\n2649 3991\n20431 30561\n72154 100000\n36436 54484\n74525 100000\n23418 35016\n86599 100000\n14292 21414\n54905 82317\n2446 3693\n48864 73177\n60884 91331\n90574 100000\n56785 85121\n54041 81011\n98841 100000\n43076 64448\n24401 36475\n28404 42437\n14925 22349\n52785 79117\n80896 100000\n37448 55995\n17353 25964\n36041 53875\n90233 100000\n5238 7867\n84524 100000\n36063 53914\n6761 10116\n96045 100000\n77251 100000\n8135 12181\n12967 19437\n2527 3810\n16720 25013\n19799 29593\n40550 60689\n65905 98857\n78752 100000\n39927 59759\n18208 27245\n24813 37080\n56104 84103\n58956 88415\n52256 78320\n86204 100000\n90071 100000\n13892 20803\n41730 62440\n24711 36932\n71679 100000\n38535 57655\n98008 100000\n4104 6177\n28766 42976\n58926 88373\n7476 11195\n38937 58267\n45876 68673\n45990 68846\n69847 100000\n95922 100000\n1573 2383\n71454 100000\n6010 9000\n78965 100000\n14716 22032\n85067 100000\n81478 100000\n56054 84031\n97452 100000\n11797 17691\n88854 100000\n68201 100000\n56370 84507\n22080 33005\n35661 53309\n21289 31823\n86219 100000\n81617 100000\n42019 62861\n33452 50004\n94854 100000\n94352 100000\n47351 70905\n9659 14483\n34585 51711\n45698 68401\n45458 68038\n92025 100000\n43241 64702\n90331 100000\n70630 100000\n64885 97316\n55266 82858\n44263 66241\n35281 52741\n31103 46505\n34518 51606\n43791 65533\n43422 64969\n19354 28935\n31318 46831\n19377 28969\n79183 100000\n98974 100000\n36771 54965\n24024 35931\n3332 5013\n80938 100000\n43313 64806\n66403 99627\n45889 68692\n71838 100000\n93934 100000\n59535 89294\n47217 70695\n3295 4963\n43033 64382\n16632 24880\n16286 24382\n1894 2852\n29635 44276\n24255 36271\n28521 42603\n72557 100000\n73745 100000\n38981 58333\n36640 54778\n8509 12736\n23208 34703\n98854 100000\n25591 38229\n91149 100000\n89395 100000\n15669 23469\n22920 34268\n56735 85049\n95400 100000\n41204 61673\n71083 100000\n30875 46158\n73929 100000\n98865 100000\n80506 100000\n16343 24463\n43615 65269\n4802 7224\n215 327\n80077 100000\n68252 100000\n66822 100000\n38938 58268\n6564 9809\n85744 100000\n47264 70769\n52987 79413\n34313 51289\n60870 91307\n74687 100000\n93103 100000\n70859 100000\n65562 98341\n23737 35493\n50590 75801\n7724 11563\n85701 100000\n71819 100000\n72276 100000\n3873 5832\n86734 100000\n21836 32649\n53849 80713\n97809 100000\n97399 100000\n21791 32578\n28121 42018\n96592 100000\n89560 100000\n14265 21371\n7069 10573\n51095 76555\n32080 47972\n10048 15075\n56841 85205\n19815 29619\n10279 15427\n33566 50175\n83687 100000\n80407 100000\n53329 79921\n34526 51618\n5375 8064\n17793 26615\n27402 40942\n7248 10850\n17308 25900\n16922 25313\n70348 100000\n47205 70678\n56964 85395\n16078 24080\n12473 18700\n5507 8255\n12133 18203\n24272 36295\n48898 73228\n86048 100000\n71709 100000\n69914 100000\n85158 100000\n80828 100000\n44677 66859\n24978 37318\n10952 16425\n54636 81906\n66419 99652\n53912 80814\n594 904\n16530 24735\n2816 4247\n63172 94757\n94652 100000\n56715 85017\n81175 100000\n31644 47327\n11657 17481\n71922 100000\n64846 97256\n43777 65510\n12034 18053\n27299 40790\n67026 100000\n48641 72844\n23613 35308\n44628 66793\n54942 82371\n7454 11158\n56349 84475\n71339 100000\n35825 53554\n87245 100000\n6301 9429\n52687 78972\n26194 39149\n73718 100000\n48719 72962\n32265 48249\n14598 21857\n12509 18753\n3726 5604\n49535 74214\n33197 49631\n47452 71063\n28639 42783\n47009 70381\n50845 76168\n49168 73647\n9477 14218\n4353 6546\n49923 74794\n34927 52217\n14329 21466\n31148 46574\n91756 100000\n89563 100000\n52074 78043\n63260 94889\n12403 18599\n69364 100000\n72130 100000\n32991 49326\n56343 84466\n92056 100000\n7181 10745\n84416 100000\n54890 82293\n46597 69766\n10691 16041\n16277 24369\n71061 100000\n56260 84329\n88330 100000\n55249 82833\n36825 55051\n17490 26167\n6121 9166\n63207 94809\n36454 54508\n52669 78942\n21448 32064\n37047 55396\n41434 62010\n17359 25972\n82021 100000\n89021 100000\n33864 50605\n45806 68564\n92004 100000\n47565 71234\n9956 14933\n26219 39188\n94144 100000\n14219 21303\n9875 14811\n79389 100000\n13666 20470\n87672 100000\n18196 27226\n10091 15141\n28152 42068\n32891 49174\n73900 100000\n32298 48300\n44967 67289\n75936 100000\n62781 94170\n80892 100000\n94217 100000\n88978 100000\n78401 100000\n54080 81072\n58438 87655\n10205 15308\n70209 100000\n61831 92757\n75797 100000\n87443 100000\n72703 100000\n36189 54104\n9357 14039\n25745 38460\n14882 22283\n93288 100000\n1651 2502\n18598 27820\n69323 100000\n20657 30891\n54901 82311\n7126 10659\n48899 73230\n86202 100000\n6631 9922\n7909 11841\n23455 35081\n52672 78947\n79916 100000\n9535 14297\n341 511\n71309 100000\n49590 74301\n16873 25239\n88745 100000\n57440 86135\n54563 81792\n37535 56122\n80305 100000\n14742 22071\n86836 100000\n59600 89395\n80123 100000\n79900 100000\n74630 100000\n31256 46733\n30723 45931\n67865 100000\n25910 38712\n89456 100000\n91483 100000\n14795 22146\n80120 100000\n87770 100000\n17315 25909\n73703 100000\n77962 100000\n5264 7902\n53201 79727\n59377 89046\n63998 95988\n69457 100000\n18216 27257\n71313 100000\n99160 100000\n31885 47677\n39956 59800\n53390 80018\n17843 26692\n26268 39269\n5342 8015\n75477 100000\n95235 100000\n3805 5724\n74599 100000\n49557 74248\n17954 26873\n37519 56101\n43716 65416\n89628 100000\n61183 91783\n82832 100000\n20008 29911\n31105 46508\n1443 2184\n24551 36693\n93303 100000\n66449 99696\n75513 100000\n44434 66497\n79437 100000\n70586 100000\n34272 51224\n8133 12178\n28564 42666\n10100 15154\n22541 33697\n96990 100000\n54709 82019\n80232 100000\n2221 3349\n93119 100000\n36176 54084\n92514 100000\n55838 83706\n22782 34065\n47912 71756\n38141 57051\n92836 100000\n95977 100000\n30489 45575\n80095 100000\n84807 100000\n15224 22789\n81158 100000\n54485 81675\n80911 100000\n20683 30928\n17740 26535\n77350 100000\n43077 64450\n38966 58311\n40137 60066\n7336 10982\n64045 96058\n76623 100000\n41370 61922\n61196 91803\n52215 78250\n93749 100000\n29553 44145\n86296 100000\n88516 100000\n64929 97382\n49693 74450\n17644 26397\n21269 31793\n37275 55738\n63668 95500\n81416 100000\n34218 51147\n45870 68664\n31734 47458\n31962 47792\n54673 81963\n30972 46305\n32937 49245\n73237 100000\n39264 58771\n14176 21235\n28577 42685\n28566 42669\n45510 68115\n46802 70076\n22722 33978\n24577 36733\n81452 100000\n13941 20878\n75101 100000\n70216 100000\n19174 28671\n12781 19161\n19920 29779\n82381 100000\n26691 39886\n68944 100000\n67257 100000\n83695 100000\n92147 100000\n68505 100000\n25096 37493\n1771 2665\n66480 99743\n98356 100000\n2913 4388\n54858 82242\n19964 29846\n28067 41937\n47275 70784\n69575 100000\n1936 2912\n8293 12415\n90976 100000\n19464 29107\n75680 100000\n40699 60910\n17128 25621\n84380 100000\n443 669\n20931 31285\n21959 32822\n70244 100000\n52592 78831\n44259 66234\n64248 96363\n30463 45538\n91796 100000\n76843 100000\n35126 52508\n69984 100000\n33100 49491\n23633 35337\n3693 5553\n34327 51309\n63391 95088\n60248 90378\n94161 100000\n9945 14917\n78829 100000\n25342 37860\n78519 100000\n46861 70165\n78800 100000\n21114 31568\n26552 39689\n25598 38240\n76831 100000\n94707 100000\n32123 48036\n40049 59935\n83324 100000\n45810 68568\n15214 22772\n81821 100000\n53261 79815\n7428 11117\n89028 100000\n74543 100000\n33083 49466\n28688 42863\n10280 15429\n73168 100000\n68066 100000\n38367 57394\n7002 10474\n95678 100000\n79684 100000\n96624 100000\n35965 53761\n93840 100000\n94162 100000\n53656 80434\n68095 100000\n71073 100000\n59828 89735\n12650 18964\n84420 100000\n37948 56751\n44578 66715\n55293 82897\n40766 61012\n14378 21534\n30656 45823\n92099 100000\n48155 72118\n88181 100000\n29801 44534\n1264 1923\n45760 68495\n51072 76517\n52631 78886\n87714 100000\n78573 100000\n53525 80229\n22901 34242\n80427 100000\n65560 98338\n43355 64867\n98995 100000\n62882 94328\n84824 100000\n36269 54222\n55207 82769\n97321 100000\n79568 100000\n9284 13929\n44627 66791\n36422 54465\n35684 53348\n75061 100000\n72023 100000\n82536 100000\n63813 95710\n57317 85948\n93276 100000\n17118 25606\n611 928\n72083 100000\n25205 37654\n24626 36811\n62082 93144\n66383 99591\n13656 20456\n66816 100000\n39492 59105\n99439 100000\n20890 31225\n39724 59462\n26672 39859\n73378 100000\n28522 42604\n17049 25503\n76 115\n81461 100000\n33620 50252\n59725 89580\n62534 93806\n73907 100000\n81815 100000\n28878 43153\n91795 100000\n93164 100000\n58099 87141\n63908 95851\n48720 72963\n87128 100000\n26731 39947\n84701 100000\n74897 100000\n36797 55007\n38040 56896\n27281 40760\n97368 100000\n43255 64719\n10364 15548\n70593 100000\n42127 63026\n61953 92944\n41780 62508\n11585 17366\n12077 18119\n17742 26538\n18200 27231\n79876 100000\n66517 99802\n28968 43287\n30920 46224\n77543 100000\n93905 100000\n96674 100000\n66515 99799\n92175 100000\n8587 12851\n1564 2368\n40525 60653\n52721 79023\n25705 38401\n38375 57407\n73363 100000\n40932 61260\n7967 11930\n13743 20580\n59696 89535\n3499 5269\n6755 10107\n78564 100000\n16222 24289\n10404 15611\n42617 63762\n4779 7191\n87481 100000\n40419 60493\n10277 15424\n2559 3855\n59701 89543\n82913 100000\n42777 64008\n52714 79014\n42234 63188\n32047 47923\n78283 100000\n79353 100000\n6296 9421\n62777 94164\n53519 80221\n47970 71841\n13333 19978\n6103 9140\n86242 100000\n13453 20158\n782 1191\n97372 100000\n14 21\n97110 100000\n12230 18346\n58547 87818\n97292 100000\n74923 100000\n14616 21882\n63887 95820\n77517 100000\n76856 100000\n25148 37570\n74408 100000\n67717 100000\n90491 100000\n14417 21595\n44525 66637\n77861 100000\n35057 52406\n73407 100000\n93977 100000\n35392 52906\n51114 76581\n36652 54795\n91620 100000\n34267 51218\n7700 11527\n83624 100000\n7104 10623\n83937 100000\n75291 100000\n84998 100000\n34494 51566\n82029 100000\n22637 33845\n34069 50920\n60560 90843\n47412 71005\n41669 62354\n98128 100000\n61568 92362\n28241 42207\n390 589\n82301 100000\n8662 12973\n30179 45102\n36089 53956\n98179 100000\n92662 100000\n55239 82818\n17023 25462\n64052 96070\n19403 29014\n44225 66182\n95233 100000\n88107 100000\n23534 35194\n54431 81594\n39501 59117\n80959 100000\n24396 36468\n86467 100000\n55944 83869\n40136 60065\n65124 97676\n49264 73804\n47374 70942\n40619 60794\n79543 100000\n41415 61984\n58809 88199\n78366 100000\n13075 19595\n20465 30610\n37712 56395\n17538 26236\n67591 100000\n2460 3713\n17344 25951\n70918 100000\n87788 100000\n96505 100000\n10704 16060\n96014 100000\n87129 100000\n37165 55575\n96370 100000\n76254 100000\n79382 100000\n59152 88705\n6500 9714\n31049 46424\n56584 84823\n42492 63577\n44224 66180\n43446 65007\n71008 100000\n26859 40133\n69008 100000\n835 1266\n7408 11089\n44928 67235\n41199 61667\n16387 24526\n97413 100000\n72381 100000\n22899 34239\n20713 30972\n60659 90991\n38788 58036\n40540 60674\n54688 81985\n27197 40637\n73099 100000\n78547 100000\n27004 40353\n77042 100000\n88810 100000\n74207 100000\n13921 20848\n68768 100000\n12129 18198\n77263 100000\n18513 27701\n77477 100000\n39070 58467\n88319 100000\n22726 33984\n45136 67548\n84323 100000\n45311 67813\n81123 100000\n43571 65195\n18961 28361\n80709 100000\n62044 93081\n23495 35143\n53780 80616\n57133 85658\n78109 100000\n71092 100000\n73491 100000\n10265 15405\n65093 97626\n98203 100000\n44064 65943\n47107 70530\n48464 72571\n37999 56829\n85956 100000\n15398 23051\n95533 100000\n64709 97056\n64323 96472\n2279 3436\n11389 17078\n37158 55564\n86953 100000\n6791 10157\n60965 91444\n66479 99742\n35669 53322\n7715 11549\n78729 100000\n47505 71139\n74096 100000\n26651 39830\n10006 15006\n31373 46909\n47962 71829\n92986 100000\n94501 100000\n50929 76301\n32021 47885\n26949 40270\n24601 36770\n63856 95771\n34824 52062\n4475 6726\n52196 78221\n40057 59948\n72581 100000\n53481 80159\n74381 100000\n46163 69103\n51474 77126\n64747 97111\n71982 100000\n159 240\n50419 75537\n59228 88822\n12043 18067\n14250 21349\n51880 77750\n38943 58276\n80033 100000\n21869 32691\n51417 77045\n1364 2070\n13488 20208\n33143 49555\n41507 62114\n51419 77048\n4661 7008\n9531 14291\n50516 75688\n40965 61308\n94535 100000\n85210 100000\n29918 44716\n70561 100000\n41131 61564\n69639 100000\n26481 39585\n72506 100000\n69626 100000\n16397 24541\n64469 96680\n89307 100000\n89170 100000\n44268 66248\n84664 100000\n58897 88330\n53372 79993\n93228 100000\n63478 95213\n89032 100000\n7663 11471\n7879 11794\n58341 87509\n6415 9600\n41918 62715\n7859 11762\n64667 96991\n49229 73744\n30952 46272\n35788 53500\n57102 85609\n12739 19097\n8805 13198\n96517 100000\n11994 17988\n88363 100000\n36959 55255\n9274 13915\n82714 100000\n72863 100000\n98760 100000\n70858 100000\n9928 14892\n67014 100000\n78362 100000\n14380 21537\n2356 3554\n36029 53859\n55117 82643\n26913 40217\n47888 71718\n86966 100000\n56627 84888\n48713 72952\n8016 11999\n53867 80741\n9122 13686\n13824 20705\n72805 100000\n48519 72657\n35202 52621\n9778 14671\n27446 41008\n79586 100000\n80017 100000\n83762 100000\n51430 77064\n31384 46926\n37813 56549\n97045 100000\n67429 100000\n6348 9503\n61732 92602\n21164 31642\n4040 6087\n42977 64303\n8782 13161\n61915 92887\n94933 100000\n5151 7732\n78319 100000\n80808 100000\n10305 15465\n18537 27733\n36128 54017\n55408 83062\n32693 48880\n74709 100000\n35167 52569\n62096 93166\n23640 35346\n5983 8953\n251 381\n3459 5209\n16894 25270\n56910 85311\n85818 100000\n57290 85910\n59317 88955\n35305 52777\n8349 12497\n34444 51485\n55209 82772\n71863 100000\n46847 70147\n13233 19828\n46194 69150\n39219 58699\n37976 56794\n80801 100000\n68873 100000\n38149 57062\n14692 21995\n55496 83189\n63312 94970\n43308 64800\n89377 100000\n19060 28498\n2973 4479\n22885 34220\n70159 100000\n69590 100000\n4972 7469\n35210 52632\n63549 95316\n8808 13201\n30334 45341\n65221 97827\n86079 100000\n94588 100000\n24568 36719\n84357 100000\n58541 87808\n49068 73488\n84276 100000\n18945 28338\n60029 90046\n53323 79913\n10788 16183\n44085 65975\n40549 60688\n15475 23168\n52884 79259\n1852 2787\n38441 57511\n25873 38656\n93811 100000\n71305 100000\n51700 77469\n26903 40200\n40569 60717\n51357 76952\n51400 77020\n58466 87697\n19415 29034\n39682 59393\n77142 100000\n99845 100000\n96970 100000\n95287 100000\n58969 88434\n57299 85923\n35467 53021\n55165 82711\n14128 21158\n50896 76249\n37498 56066\n27105 40506\n74011 100000\n84291 100000\n59100 88624\n12458 18680\n95163 100000\n2710 4086\n66635 99984\n21582 32268\n26692 39888\n30195 45130\n53861 80732\n40084 59989\n2118 3192\n49906 74770\n31317 46829\n71088 100000\n30518 45617\n27564 41182\n53465 80133\n43265 64733\n36389 54415\n64125 96180\n36180 54089\n75120 100000\n21677 32405\n56568 84800\n98610 100000\n12905 19347\n9658 14482\n10442 15663\n76529 100000\n98684 100000\n18741 28035\n42817 64063\n6813 10191\n10191 15289\n49028 73426\n68647 100000\n90674 100000\n67611 100000\n82408 100000\n47936 71790\n57716 86560\n17537 26235\n62719 94077\n63882 95811\n95288 100000\n28172 42100\n35291 52756\n33325 49819\n49390 73992\n66970 100000\n78549 100000\n70142 100000\n89599 100000\n14184 21248\n80788 100000\n98505 100000\n59404 89091\n48502 72630\n91435 100000\n51149 76629\n88686 100000\n26734 39952\n72384 100000\n49884 74737\n70494 100000\n34588 51714\n92990 100000\n50076 75016\n69942 100000\n72502 100000\n30074 44947\n66126 99202\n20885 31218\n92566 100000\n25232 37694\n4281 6435\n52360 78477\n1570 2377\n10845 16261\n43318 64813\n92317 100000\n67460 100000\n83575 100000\n39513 59137\n3236 4880\n54130 81146\n66860 100000\n18476 27645\n45043 67405\n95645 100000\n6236 9333\n64550 96814\n31556 47186\n17561 26269\n72426 100000\n71506 100000\n46633 69822\n40072 59971\n25191 37635\n31130 46544\n72120 100000\n36044 53881\n94758 100000\n61387 92095\n38010 56845\n14912 22330\n77293 100000\n22099 33031\n55089 82600\n49069 73489\n24332 36382\n92960 100000\n60118 90180\n50372 75469\n17139 25638\n38671 57865\n29152 43554\n39358 58910\n7868 11777\n312 468\n34043 50880\n93939 100000\n51442 77081\n39253 58755\n70917 100000\n80216 100000\n39465 59063\n83149 100000\n98036 100000\n30130 45026\n95847 100000\n34966 52271\n75159 100000\n4814 7240\n79214 100000\n10189 15286\n86066 100000\n40863 61157\n19477 29120\n16054 24040\n14609 21873\n56220 84273\n75027 100000\n2336 3524\n66319 99496\n48870 73186\n91474 100000\n58066 87092\n30448 45514\n52929 79324\n84965 100000\n33160 49577\n60393 90588\n59458 89178\n67357 100000\n34676 51843\n39917 59744\n62611 93922\n9557 14329\n24443 36537\n6455 9652\n82030 100000\n18801 28126\n84221 100000\n60536 90809\n9475 14216\n73320 100000\n71328 100000\n48747 73004\n43027 64373\n98370 100000\n66594 99922\n56638 84905\n16129 24153\n11297 16939\n76652 100000\n89233 100000\n42430 63489\n92046 100000\n25783 38518\n33521 50102\n13132 19679\n23556 35224\n16097 24105\n45245 67717\n23520 35174\n32648 48813\n7850 11750\n64042 96055\n4949 7436\n20144 30124\n6563 9807\n28572 42678\n9869 14804\n99002 100000\n68011 100000\n77596 100000\n2347 3538\n9924 14886\n42622 63772\n79534 100000\n53578 80307\n66706 100000\n97428 100000\n15131 22649\n39251 58753\n32542 48659\n44637 66805\n36037 53870\n95367 100000\n39789 59555\n68092 100000\n57123 85642\n15347 22976\n73483 100000\n96761 100000\n12543 18808\n2117 3191\n78296 100000\n74750 100000\n70595 100000\n4755 7150\n45497 68096\n34903 52178\n15625 23402\n4926 7404\n11325 16980\n83795 100000\n83292 100000\n92818 100000\n43008 64345\n30169 45087\n26683 39874\n31378 46916\n93128 100000\n21633 32343\n33482 50051\n81213 100000\n81871 100000\n52931 79327\n70788 100000\n6937 10373\n72870 100000\n32476 48556\n76970 100000\n15895 23799\n36776 54972\n55348 82977\n6645 9941\n7553 11312\n83042 100000\n83933 100000\n5500 8245\n78797 100000\n65051 97566\n54221 81279\n61527 92302\n18583 27800\n55700 83504\n39024 58399\n64137 96197\n86941 100000\n27989 41819\n95733 100000\n7063 10563\n5778 8654\n52152 78162\n50105 75062\n85743 100000\n15859 23745\n57986 86974\n16297 24398\n4922 7398\n51757 77558\n22355 33408\n50526 75702\n11668 17496\n44300 66297\n42108 62999\n74689 100000\n6032 9032\n76698 100000\n41025 61406\n78445 100000\n55522 83228\n70036 100000\n39989 59848\n74979 100000\n13295 19922\n49683 74434\n18654 27902\n27868 41640\n32135 48055\n76962 100000\n16801 25129\n57385 86045\n24360 36422\n35069 52426\n62356 93557\n41929 62730\n27410 40952\n33507 50081\n20346 30427\n55563 83293\n21670 32397\n15334 22956\n84047 100000\n3347 5035\n60643 90967\n93600 100000\n27879 41656\n43143 64551\n56681 84968\n31260 46741\n59313 88950\n26175 39119\n77623 100000\n5043 7576\n34162 51061\n57012 85468\n74837 100000\n35417 52948\n73471 100000\n10175 15262\n7280 10898\n68290 100000\n14936 22362\n84719 100000\n71990 100000\n99214 100000\n45379 67917\n84663 100000\n35280 52740\n21020 31428\n7061 10560\n22600 33786\n51818 77660\n22891 34227\n70851 100000\n38731 57956\n84158 100000\n70729 100000\n18817 28148\n13338 19987\n32806 49053\n86727 100000\n31493 47089\n99288 100000\n8723 13071\n59164 88722\n23203 34694\n10685 16032\n1085 1658\n47411 71003\n38485 57577\n8370 12529\n41179 61635\n26845 40113\n18132 27132\n50200 75206\n99446 100000\n5725 8577\n6155 9214\n17385 26011\n86907 100000\n61687 92537\n53958 80881\n31539 47161\n54446 81620\n58307 87453\n97012 100000\n93876 100000\n11753 17620\n39963 59809\n29392 43903\n10295 15452\n91298 100000\n37020 55350\n59173 88738\n16212 24275\n98629 100000\n50381 75483\n79665 100000\n71751 100000\n57679 86501\n70355 100000\n1284 1950\n69035 100000\n87919 100000\n30882 46166\n24864 37153\n82462 100000\n37381 55893\n43658 65333\n79833 100000\n6940 10378\n72217 100000\n22862 34182\n61428 92154\n27603 41245\n80600 100000\n34797 52023\n86564 100000\n10116 15175\n26084 38979\n65462 98193\n17381 26004\n80074 100000\n37244 55692\n79402 100000\n61885 92841\n24729 36957\n14488 21698\n80228 100000\n35148 52539\n59949 89921\n24857 37143\n91838 100000\n32723 48923\n43994 65841\n98681 100000\n98253 100000\n91154 100000\n14546 21786\n39192 58652\n93874 100000\n63298 94949\n76765 100000\n9049 13575\n62602 93910\n4100 6173\n28140 42047\n99616 100000\n53983 80919\n98365 100000\n38105 56995\n37345 55842\n72235 100000\n29774 44496\n70717 100000\n2828 4263\n66652 100000\n62539 93814\n60981 91465\n41925 62725\n22962 34327\n21025 31435\n94049 100000\n20483 30638\n24727 36955\n11920 17875\n61292 91956\n32966 49286\n18811 28140\n32771 48996\n23303 34846\n29472 44022\n64515 96758\n96483 100000\n33726 50407\n93473 100000\n59900 89841\n20224 30244\n29534 44118\n43935 65757\n11957 17933\n19967 29851\n65947 98923\n21605 32299\n32044 47918\n767 1169\n58813 88207\n6150 9209\n4299 6461\n19568 29254\n26333 39366\n67175 100000\n28958 43272\n58712 88061\n9640 14454\n65289 97931\n84848 100000\n9030 13545\n77624 100000\n64352 96518\n77492 100000\n32589 48729\n80003 100000\n96645 100000\n93755 100000\n44537 66652\n7593 11368\n24606 36778\n66746 100000\n27754 41465\n39920 59749\n80661 100000\n78497 100000\n421 634\n78111 100000\n6784 10147\n63783 95667\n37915 56709\n50855 76185\n8425 12608\n79749 100000\n21421 32019\n16280 24374\n11807 17704\n69495 100000\n62506 93764\n5952 8907\n93696 100000\n57495 86218\n87370 100000\n71712 100000\n87110 100000\n79394 100000\n3148 4745\n36433 54481\n44676 66858\n13634 20424\n24607 36780\n18194 27224\n44401 66450\n11302 16946\n84164 100000\n24044 35961\n30986 46326\n3372 5075\n20765 31048\n63716 95570\n77329 100000\n36169 54074\n44329 66344\n33425 49958\n27795 41529\n25161 37588\n33656 50300\n16611 24849\n55441 83111\n95529 100000\n26089 38986\n78880 100000\n93839 100000\n89933 100000\n43732 65441\n54569 81801\n3912 5897\n17357 25970\n66870 100000\n21989 32866\n16205 24265\n61246 91885\n97639 100000\n58511 87764\n8977 13463\n20972 31351\n98255 100000\n39777 59534\n11458 17183\n99330 100000\n87839 100000\n69156 100000\n24008 35909\n16761 25069\n88855 100000\n952 1452\n8337 12479\n39998 59860\n66721 100000\n34696 51875\n75412 100000\n97322 100000\n39557 59205\n16163 24201\n53230 79773\n18406 27544\n98860 100000\n23253 34773\n37237 55683\n5133 7705\n59054 88556\n33942 50721\n20240 30269\n62473 93717\n99909 100000\n89515 100000\n88474 100000\n5645 8461\n66119 99189\n24642 36830\n98386 100000\n99102 100000\n69848 100000\n53577 80305\n90045 100000\n42532 63633\n46060 68952\n44877 67150\n57885 86818\n84347 100000\n92182 100000\n89943 100000\n68800 100000\n21323 31874\n24545 36683\n50985 76384\n23592 35276\n91875 100000\n82754 100000\n39269 58779\n45237 67703\n49593 74307\n19842 29662\n73177 100000\n79820 100000\n72704 100000\n41403 61969\n85052 100000\n87530 100000\n59056 88560\n20324 30393\n57758 86627\n50591 75802\n26730 39946\n83193 100000\n3460 5211\n55884 83773\n89085 100000\n26963 40294\n31683 47390\n65685 98527\n13361 20025\n29044 43398\n53910 80811\n2064 3109\n60062 90092\n37304 55780\n46548 69694\n52566 78795\n83927 100000\n90650 100000\n50539 75720\n18477 27647\n16048 24031\n45783 68529\n87508 100000\n55182 82736\n21466 32092\n9297 13949\n65571 98353\n5534 8294\n24412 36490\n10026 15042\n49220 73732\n90517 100000\n22308 33338\n66684 100000\n70751 100000\n61773 92664\n52058 78019\n7190 10759\n62093 93160\n94292 100000\n44913 67209\n7601 11379\n94306 100000\n40882 61186\n24358 36420\n37998 56828\n9189 13788\n26241 39221\n40217 60190\n7095 10612\n23415 35012\n74754 100000\n96822 100000\n18268 27334\n3076 4638\n4202 6327\n84488 100000\n70641 100000\n35681 53343\n87767 100000\n52069 78035\n32659 48831\n82976 100000\n88289 100000\n44934 67246\n51030 76453\n8768 13138\n16451 24615\n68935 100000\n42464 63537\n19179 28677\n69305 100000\n6174 9239\n10022 15034\n19660 29394\n72963 100000\n5126 7696\n74512 100000\n67103 100000\n96531 100000\n16858 25215\n35837 53574\n18305 27388\n36732 54909\n76504 100000\n8944 13413\n67720 100000\n81040 100000\n12990 19471\n73323 100000\n59944 89912\n41692 62384\n79731 100000\n68108 100000\n92938 100000\n1913 2879\n925 1411\n11955 17930\n79193 100000\n80587 100000\n73124 100000\n72334 100000\n62627 93944\n89096 100000\n72660 100000\n83845 100000\n67099 100000\n34967 52272\n28090 41974\n548 832\n24377 36444\n97563 100000\n1663 2518\n7727 11566\n13173 19738\n63309 94965\n10042 15066\n16796 25120\n8555 12807\n59706 89552\n75102 100000\n22131 33077\n65907 98859\n46845 70144\n93966 100000\n29036 43388\n44356 66385\n89022 100000\n31735 47459\n7222 10809\n12668 18993\n24390 36460\n85356 100000\n49359 73944\n46102 69014\n34419 51443\n85849 100000\n27891 41674\n93252 100000\n85954 100000\n14640 21915\n42390 63435\n80915 100000\n10471 15706\n2845 4292\n35916 53691\n39872 59681\n35458 53008\n40391 60451\n75030 100000\n36657 54804\n74331 100000\n16068 24063\n46990 70351\n56043 84013\n15671 23472\n60214 90322\n54494 81689\n5818 8710\n16636 24885\n92592 100000\n19123 28595\n62334 93525\n25370 37906\n43493 65076\n38059 56923\n80423 100000\n76425 100000\n79679 100000\n78709 100000\n70246 100000\n43505 65095\n24538 36672\n54138 81159\n78518 100000\n11978 17965\n26365 39411\n30955 46276\n35972 53772\n35948 53738\n69170 100000\n85766 100000\n41846 62605\n47058 70451\n17142 25642\n21812 32612\n64751 97119\n76828 100000\n45594 68242\n14667 21955\n38218 57171\n43665 65341\n97756 100000\n60271 90409\n40953 61292\n95603 100000\n51278 76826\n3374 5077\n35984 53791\n49155 73627\n69653 100000\n39783 59545\n6675 9984\n49679 74428\n32256 48237\n60247 90377\n70188 100000\n89665 100000\n83809 100000\n95420 100000\n619 941\n39013 58382\n5302 7956\n38841 58117\n65510 98265\n37540 56129\n59573 89352\n43403 64942\n31916 47725\n13565 20326\n5699 8536\n27228 40680\n40159 60102\n69379 100000\n66848 100000\n15122 22636\n26426 39502\n36190 54105\n20434 30565\n61663 92498\n59653 89474\n34023 50848\n4904 7372\n65185 97772\n96924 100000\n71967 100000\n88000 100000\n86999 100000\n76378 100000\n39331 58874\n86571 100000\n93427 100000\n30730 45942\n26644 39821\n80576 100000\n40587 60746\n44290 66282\n42491 63576\n91308 100000\n97502 100000\n13807 20678\n57594 86372\n23472 35106\n1566 2370\n21296 31834\n69135 100000\n35796 53513\n4477 6729\n99094 100000\n90051 100000\n32126 48041\n60485 90736\n44788 67022\n9689 14531\n47789 71569\n94673 100000\n53272 79830\n74166 100000\n19292 28846\n56241 84303\n69752 100000\n96679 100000\n59044 88541\n87149 100000\n80553 100000\n84592 100000\n81480 100000\n49329 73900\n84668 100000\n52544 78757\n57950 86917\n53107 79593\n66091 99145\n88752 100000\n35657 53304\n47069 70467\n19889 29735\n43332 64830\n93891 100000\n60932 91396\n15344 22972\n14733 22058\n53437 80092\n79984 100000\n42850 64110\n63098 94646\n57614 86403\n31741 47466\n87070 100000\n51251 76785\n50939 76315\n87478 100000\n36259 54207\n84885 100000\n87278 100000\n35442 52984\n63682 95519\n37568 56171\n42605 63744\n76686 100000\n13155 19711\n26033 38903\n83558 100000\n71862 100000\n45511 68117\n83381 100000\n6680 9992\n64819 97215\n69392 100000\n56798 85141\n4703 7073\n37584 56196\n2261 3409\n74809 100000\n70667 100000\n34929 52221\n90990 100000\n19494 29145\n72246 100000\n33874 50620\n25986 38829\n51958 77869\n21446 32062\n96268 100000\n66834 100000\n25268 37753\n45561 68195\n60317 90480\n96288 100000\n62616 93928\n56980 85417\n49944 74822\n42013 62852\n97107 100000\n94045 100000\n34677 51845\n8056 12062\n33486 50056\n1134 1732\n7214 10797\n6432 9622\n25798 38540\n74770 100000\n19856 29684\n63295 94943\n73006 100000\n57275 85885\n83146 100000\n96825 100000\n45775 68516\n72188 100000\n58871 88293\n96164 100000\n21046 31469\n93658 100000\n68063 100000\n27018 40376\n49294 73840\n88475 100000\n35957 53750\n19949 29822\n14112 21137\n97749 100000\n22189 33163\n81789 100000\n23591 35275\n21139 31604\n10237 15362\n18049 27013\n11026 16532\n77562 100000\n89823 100000\n36805 55019\n45334 67852\n79683 100000\n96030 100000\n31476 47064\n30365 45389\n69057 100000\n28801 43031\n54075 81063\n19162 28653\n62871 94310\n72492 100000\n95689 100000\n19707 29464\n433 654\n67510 100000\n25800 38544\n56694 84986\n89538 100000\n86146 100000\n96637 100000\n22896 34234\n65125 97678\n6584 9842\n86911 100000\n69304 100000\n39521 59148\n37285 55753\n59986 89981\n35157 52554\n1366 2073\n20347 30428\n74790 100000\n1028 1572\n62458 93694\n13455 20162\n34874 52134\n29094 43470\n64872 97295\n57620 86413\n315 471\n60190 90288\n26504 39621\n94363 100000\n61331 92017\n94677 100000\n21858 32677\n8560 12812\n5733 8590\n46638 69830\n91056 100000\n89779 100000\n90274 100000\n94304 100000\n81286 100000\n23427 35031\n54152 81179\n64368 96541\n82062 100000\n97475 100000\n3438 5176\n28209 42161\n93763 100000\n62674 94011\n64666 96989\n43303 64792\n28214 42167\n71133 100000\n22020 32913\n61437 92167\n79856 100000\n42540 63645\n89152 100000\n23699 35436\n56852 85225\n67979 100000\n16946 25347\n63819 95718\n48655 72865\n2 4\n57907 86853\n69289 100000\n28879 43155\n24557 36703\n60121 90184\n58340 87507\n8493 12715\n13092 19622\n38374 57405\n36801 55013\n4102 6175\n5434 8149\n79954 100000\n53495 80181\n63711 95562\n84344 100000\n34691 51868\n40253 60236\n80419 100000\n19454 29091\n26863 40140\n12536 18795\n20962 31335\n43290 64773\n76780 100000\n41664 62346\n62153 93253\n29229 43669\n94094 100000\n41674 62362\n29263 43722\n1577 2390\n71693 100000\n14759 22092\n86005 100000\n2420 3653\n77385 100000\n8212 12295\n98401 100000\n89197 100000\n75810 100000\n28557 42655\n11396 17087\n89258 100000\n12020 18030\n7140 10679\n39955 59798\n24994 37341\n42769 63996\n10683 16028\n76585 100000\n17435 26086\n52965 79385\n10481 15724\n68571 100000\n7490 11220\n80908 100000\n23008 34397\n48244 72251\n28743 42943\n89349 100000\n5710 8554\n75367 100000\n93545 100000\n53090 79568\n54989 82450\n94557 100000\n66084 99136\n44267 66247\n79914 100000\n66266 99415\n14507 21729\n30018 44868\n12709 19050\n49001 73386\n82529 100000\n73408 100000\n92996 100000\n89237 100000\n42592 63725\n98314 100000\n88952 100000\n1633 2472\n13355 20015\n47371 70936\n95185 100000\n90344 100000\n84911 100000\n51040 76468\n81432 100000\n3916 5903\n31291 46785\n60205 90309\n48487 72606\n2443 3687\n91050 100000\n35969 53767\n74384 100000\n7219 10805\n2409 3636\n3909 5892\n50813 76119\n55432 83096\n93445 100000\n90365 100000\n23036 34444\n19032 28455\n87519 100000\n85651 100000\n21359 31929\n3162 4764\n74053 100000\n89254 100000\n2320 3500\n21050 31475\n70110 100000\n33309 49794\n12918 19365\n56674 84958\n25622 38275\n57183 85742\n75109 100000\n11289 16925\n81498 100000\n55611 83369\n49872 74722\n75577 100000\n93454 100000\n14823 22189\n28500 42572\n72038 100000\n584 887\n56084 84075\n27486 41063\n11624 17426\n93915 100000\n689 1046\n41480 62075\n79788 100000\n65973 98964\n26293 39304\n9841 14765\n64383 96560\n70358 100000\n553 839\n81508 100000\n86423 100000\n88346 100000\n50876 76217\n61349 92045\n3027 4561\n25140 37557\n53580 80311\n78040 100000\n27073 40460\n88954 100000\n49484 74135\n50400 75508\n73635 100000\n46144 69074\n61498 92258\n57717 86562\n51679 77438\n91293 100000\n24883 37183\n13516 20253\n73457 100000\n30393 45433\n75752 100000\n66075 99122\n30584 45710\n1547 2342\n47308 70833\n89521 100000\n45380 67918\n82822 100000\n30256 45221\n71379 100000\n2891 4359\n14345 21488\n65053 97568\n55909 83814\n37434 55975\n23451 35074\n413 621\n95198 100000\n37592 56208\n14414 21590\n34507 51590\n24644 36834\n81674 100000\n58250 87364\n26548 39682\n21943 32799\n41484 62081\n57309 85938\n82475 100000\n54261 81340\n59085 88602\n8191 12264\n74347 100000\n27327 40832\n66385 99594\n93813 100000\n54000 80945\n95890 100000\n97965 100000\n94011 100000\n30728 45939\n47430 71031\n56860 85237\n99152 100000\n46992 70354\n91374 100000\n36943 55232\n37902 56688\n27832 41588\n42487 63571\n74458 100000\n42811 64053\n67970 100000\n34401 51419\n36270 54224\n72168 100000\n86769 100000\n86425 100000\n88389 100000\n66562 99872\n54530 81741\n47659 71367\n55177 82728\n155 234\n99354 100000\n85599 100000\n88255 100000\n79724 100000\n5693 8529\n33330 49825\n68774 100000\n85267 100000\n94634 100000\n65267 97897\n78747 100000\n64862 97282\n74274 100000\n17654 26412\n61999 93012\n62416 93636\n74874 100000\n56507 84713\n135 203\n6269 9382\n15048 22526\n6339 9490\n76333 100000\n12147 18220\n58115 87166\n7589 11364\n41824 62573\n12680 19011\n84018 100000\n39058 58448\n73676 100000\n36108 53988\n79520 100000\n33502 50076\n64059 96080\n17829 26671\n20318 30384\n14813 22173\n81590 100000\n77809 100000\n50155 75139\n720 1093\n96577 100000\n21423 32023\n12004 18003\n61573 92369\n36636 54772\n61144 91719\n81118 100000\n76581 100000\n9733 14600\n36003 53818\n11044 16559\n46326 69348\n28972 43293\n96762 100000\n91738 100000\n88145 100000\n2690 4054\n95966 100000\n37831 56578\n70839 100000\n78652 100000\n20619 30836\n64460 96666\n48085 72010\n3288 4954\n35028 52364\n60567 90853\n15928 23848\n91076 100000\n17909 26798\n95582 100000\n77525 100000\n54033 80999\n15699 23513\n47981 71860\n19175 28672\n60487 90738\n77590 100000\n23533 35193\n75011 100000\n71236 100000\n17073 25541\n7933 11879\n93885 100000\n69383 100000\n41571 62207\n17970 26895\n16320 24431\n78115 100000\n20175 30171\n3933 5933\n57922 86877\n89071 100000\n98218 100000\n30374 45403\n40309 60321\n81163 100000\n33870 50615\n14104 21124\n97819 100000\n20956 31325\n20170 30164\n12970 19443\n90675 100000\n40792 61051\n57106 85613\n33613 50243\n76835 100000\n24438 36529\n58519 87777\n32791 49028\n24422 36505\n54617 81874\n87601 100000\n93230 100000\n29613 44237\n52293 78382\n56777 85108\n37089 55461\n1999 3008\n1719 2594\n60159 90241\n20166 30159\n91696 100000\n31393 46940\n5779 8655\n6458 9656\n72715 100000\n95196 100000\n72519 100000\n22972 34341\n60658 90989\n31780 47522\n90857 100000\n95853 100000\n87266 100000\n10289 15444\n56600 84850\n58402 87604\n57995 86987\n58817 88213\n38243 57210\n3342 5027\n76463 100000\n3208 4837\n64763 97137\n9992 14985\n36680 54831\n77813 100000\n63173 94759\n3495 5265\n98581 100000\n65745 98621\n64989 97469\n18243 27297\n68170 100000\n19440 29071\n42045 62904\n32483 48566\n97982 100000\n51951 77860\n53823 80673\n14231 21317\n36220 54149\n20724 30987\n11863 17783\n38678 57876\n6744 10088\n30921 46226\n30785 46024\n20882 31213\n87668 100000\n87491 100000\n93864 100000\n93171 100000\n38824 58093\n6364 9528\n3766 5661\n7996 11971\n12609 18905\n68486 100000\n29793 44523\n68074 100000\n87921 100000\n50761 76039\n31489 47082\n68344 100000\n92095 100000\n78394 100000\n80790 100000\n40997 61361\n62854 94285\n38169 57092\n88940 100000\n55785 83632\n81231 100000\n42531 63631\n43824 65583\n70646 100000\n7234 10829\n28925 43219\n30376 45405\n59396 89078\n21419 32016\n21502 32145\n29480 44035\n67613 100000\n99019 100000\n55155 82697\n45922 68744\n38761 57999\n40661 60854\n47813 71606\n3679 5529\n54132 81149\n21591 32279\n35399 52919\n98835 100000\n40535 60667\n39898 59717\n12206 18311\n21579 32263\n9086 13631\n90836 100000\n92952 100000\n62915 94380\n69054 100000\n53733 80547\n61696 92552\n15684 23493\n89174 100000\n3855 5804\n9186 13784\n66607 99943\n66722 100000\n17704 26483\n4334 6514\n30775 46011\n94039 100000\n63484 95221\n25047 37414\n39229 58716\n90429 100000\n3501 5273\n10186 15281\n57141 85673\n25214 37667\n3934 5934\n11484 17222\n5790 8670\n93640 100000\n31245 46717\n31440 47010\n73261 100000\n70682 100000\n39968 59816\n52718 79018\n28226 42184\n37553 56145\n83874 100000\n21997 32878\n68816 100000\n9365 14050\n87189 100000\n45061 67432\n84043 100000\n61918 92891\n63013 94523\n97691 100000\n83036 100000\n42249 63211\n12483 18715\n48181 72156\n47393 70972\n2454 3703\n71297 100000\n39213 58688\n60738 91109\n36689 54844\n59192 88766\n30924 46232\n69896 100000\n38231 57189\n277 419\n38854 58135\n80430 100000\n9344 14020\n921 1404\n23524 35181\n79695 100000\n62758 94138\n10563 15852\n12308 18462\n84897 100000\n59792 89681\n54999 82465\n46478 69589\n36758 54947\n89675 100000\n29493 44054\n29352 43846\n17241 25796\n92831 100000\n22182 33152\n14381 21538\n37056 55410\n50205 75215\n19908 29763\n86385 100000\n86655 100000\n30114 45006\n52530 78733\n88820 100000\n54965 82408\n88230 100000\n42288 63276\n41371 61924\n74450 100000\n15603 23367\n13984 20945\n31237 46704\n27558 41172\n61691 92545\n18839 28179\n88989 100000\n50140 75115\n34290 51251\n18465 27629\n95467 100000\n20906 31249\n53405 80039\n14480 21687\n57661 86472\n75761 100000\n91847 100000\n70792 100000\n77127 100000\n26942 40260\n20754 31030\n55020 82496\n45459 68040\n13045 19555\n89044 100000\n86034 100000\n48584 72760\n70950 100000\n1293 1965\n57373 86031\n48634 72834\n21951 32811\n11495 17236\n55135 82668\n47182 70644\n43600 65248\n72772 100000\n21486 32120\n86894 100000\n93538 100000\n68691 100000\n19740 29512\n19305 28865\n12701 19039\n12599 18891\n32061 47943\n39808 59584\n18410 27550\n1611 2440\n54111 81117\n64015 96013\n47940 71796\n21902 32739\n7757 11610\n34935 52230\n28493 42561\n70688 100000\n33528 50112\n68350 100000\n74762 100000\n76950 100000\n33527 50110\n76730 100000\n94163 100000\n61329 92015\n93808 100000\n1689 2552\n38389 57429\n50602 75815\n20251 30287\n54700 82003\n44926 67231\n62559 93845\n95755 100000\n72725 100000\n36976 55281\n71864 100000\n513 778\n85711 100000\n29105 43485\n86377 100000\n53029 79471\n47295 70813\n13587 20358\n87949 100000\n37446 55991\n97658 100000\n8350 12498\n87703 100000\n39707 59433\n35869 53619\n16923 25314\n16472 24645\n50070 75007\n13770 20623\n26231 39206\n45957 68796\n9023 13535\n85819 100000\n5530 8288\n52719 79020\n73144 100000\n60206 90311\n64683 97014\n1457 2205\n68239 100000\n68946 100000\n58357 87532\n4923 7400\n86375 100000\n56899 85297\n34521 51610\n46733 69969\n94590 100000\n32574 48704\n46506 69632\n49190 73682\n27957 41773\n98836 100000\n89340 100000\n77166 100000\n83980 100000\n56474 84664\n68886 100000\n27995 41829\n65937 98907\n45533 68149\n39848 59643\n78906 100000\n1991 2995\n80399 100000\n19288 28841\n8858 13276\n10965 16444\n25403 37961\n16386 24524\n68871 100000\n8095 12120\n27086 40479\n19 29\n16095 24102\n3082 4650\n89692 100000\n39933 59766\n30086 44965\n93595 100000\n90823 100000\n49803 74616\n57936 86896\n43002 64337\n7121 10651\n3939 5941\n61701 92558\n40328 60350\n89288 100000\n61637 92459\n40633 60813\n86483 100000\n62997 94499\n72356 100000\n25866 38649\n39123 58543\n27790 41521\n55876 83760\n41653 62330\n93134 100000\n76459 100000\n56974 85410\n94061 100000\n97596 100000\n73480 100000\n29978 44806\n1520 2304\n62819 94231\n21148 31617\n51828 77674\n88777 100000\n4985 7491\n30794 46036\n93456 100000\n66036 99060\n8543 12788\n23426 35029\n77387 100000\n53920 80824\n13422 20113\n51065 76506\n93554 100000\n57809 86709\n37601 56220\n15804 23664\n19819 29625\n61162 91751\n39821 59603\n69217 100000\n29173 43587\n34886 52154\n14297 21421\n46594 69762\n160 242\n37105 55485\n97739 100000\n65060 97580\n6237 9335\n18553 27754\n25590 38228\n63616 95419\n56087 84079\n32295 48294\n4759 7157\n42010 62847\n563 855\n25621 38273\n68113 100000\n57002 85455\n91446 100000\n76482 100000\n15300 22910\n46430 69514\n90530 100000\n63582 95366\n97430 100000\n28793 43018\n91246 100000\n44201 66149\n61099 91645\n21178 31664\n23549 35215\n23519 35173\n67969 100000\n23440 35054\n65736 98607\n55026 82505\n61658 92490\n4076 6137\n38599 57755\n43352 64862\n59293 88918\n52937 79337\n96323 100000\n27243 40704\n98688 100000\n57641 86444\n92847 100000\n77191 100000\n59504 89245\n51998 77929\n50149 75131\n4447 6682\n6235 9332\n89799 100000\n3059 4612\n99534 100000\n69591 100000\n9004 13507\n58106 87153\n21608 32304\n97227 100000\n9861 14791\n10585 15883\n31500 47101\n37126 55514\n89958 100000\n25243 37710\n85103 100000\n68218 100000\n81786 100000\n22571 33743\n50965 76356\n77133 100000\n2656 4002\n43242 64703\n94853 100000\n35381 52889\n40350 60385\n61818 92735\n7662 11469\n46066 68958\n95069 100000\n67587 100000\n16772 25087\n14180 21242\n54413 81568\n44827 67077\n37913 56706\n69624 100000\n75901 100000\n55928 83843\n7042 10531\n26257 39250\n87341 100000\n78916 100000\n11559 17328\n60979 91462\n2435 3674\n91447 100000\n17289 25869\n75075 100000\n79252 100000\n166 251\n77043 100000\n107 165\n86292 100000\n93087 100000\n14206 21283\n45079 67458\n35574 53179\n41867 62637\n96705 100000\n95858 100000\n1726 2604\n92922 100000\n32375 48412\n29183 43601\n41705 62402\n10315 15478\n7648 11447\n76451 100000\n99778 100000\n26031 38899\n8791 13176\n62718 94075\n98667 100000\n51015 76430\n3494 5263\n84829 100000\n81360 100000\n91963 100000\n60387 90579\n33663 50312\n59936 89898\n7649 11449\n86566 100000\n61378 92085\n31688 47397\n7952 11910\n58940 88393\n26428 39504\n55695 83494\n17477 26148\n85447 100000\n90997 100000\n62352 93552\n27383 40914\n63016 94527\n30140 45042\n44957 67276\n98272 100000\n52095 78076\n51983 77906\n87433 100000\n65753 98633\n99525 100000\n36138 54031\n60481 90729\n87624 100000\n76097 100000\n19294 28848\n81387 100000\n71544 100000\n91156 100000\n48419 72506\n53335 79931\n85452 100000\n59478 89207\n4481 6736\n12228 18343\n99313 100000\n23858 35679\n78903 100000\n1118 1709\n13958 20906\n18133 27134\n93787 100000\n14122 21150\n89788 100000\n39455 59050\n812 1233\n31111 46518\n52950 79359\n9625 14429\n56516 84728\n34215 51142\n68489 100000\n20227 30250\n29924 44725\n58708 88055\n80909 100000\n76859 100000\n44436 66500\n49340 73915\n2752 4149\n48805 73088\n46286 69289\n66068 99112\n75509 100000\n79801 100000\n51536 77220\n10478 15719\n76081 100000\n91401 100000\n13458 20167\n18614 27844\n72313 100000\n23001 34385\n2475 3736\n13500 20227\n13105 19639\n97140 100000\n88479 100000\n21514 32166\n29671 44338\n89801 100000\n46498 69621\n6514 9736\n3311 4984\n94171 100000\n13775 20631\n84327 100000\n84699 100000\n36669 54818\n46632 69820\n79738 100000\n76707 100000\n20901 31241\n82501 100000\n87780 100000\n3048 4593\n3742 5628\n66764 100000\n4573 6875\n15817 23682\n54929 82354\n53206 79736\n60915 91375\n42247 63209\n35829 53560\n46518 69651\n70958 100000\n54045 81018\n73419 100000\n19927 29787\n81019 100000\n8934 13397\n63872 95798\n35056 52405\n41278 61785\n68422 100000\n63288 94933\n85337 100000\n42275 63256\n3254 4905\n42082 62958\n93584 100000\n78577 100000\n18055 27021\n79633 100000\n35491 53057\n17762 26570\n86539 100000\n49691 74447\n79342 100000\n92937 100000\n38988 58343\n86098 100000\n99136 100000\n21822 32629\n36320 54301\n92381 100000\n16304 24409\n81455 100000\n67 102\n30270 45244\n16675 24942\n77138 100000\n16977 25394\n71015 100000\n22143 33096\n7070 10575\n9804 14707\n77939 100000\n1104 1687\n83812 100000\n24107 36055\n39224 58707\n65366 98044\n75726 100000\n42877 64154\n40112 60030\n42627 63781\n53218 79754\n21843 32657\n2742 4134\n51754 77553\n34250 51192\n874 1334\n19466 29109\n11163 16729\n28358 42377\n83157 100000\n44618 66776\n82165 100000\n13558 20318\n16648 24903\n12131 18200\n75382 100000\n85853 100000\n53047 79502\n73379 100000\n4691 7054\n87615 100000\n72171 100000\n83822 100000\n17790 26610\n8194 12269\n27420 40968\n35288 52751\n69414 100000\n34340 51327\n39809 59585\n21411 32003\n21364 31935\n94017 100000\n73478 100000\n50930 76303\n2569 3873\n57992 86982\n84535 100000\n88305 100000\n69548 100000\n3673 5520\n14544 21784\n72967 100000\n20758 31036\n7862 11768\n44551 66671\n51385 76995\n88642 100000\n57454 86159\n41683 62375\n24041 35957\n58952 88408\n95007 100000\n6596 9863\n86006 100000\n6805 10178\n42150 63067\n92744 100000\n75004 100000\n16402 24549\n76590 100000\n92260 100000\n19771 29557\n73131 100000\n68720 100000\n27136 40553\n87374 100000\n5439 8155\n46266 69263\n41517 62131\n53521 80223\n11821 17721\n92211 100000\n81083 100000\n38392 57435\n93194 100000\n52077 78047\n97329 100000\n53526 80230\n66612 99949\n55044 82533\n1336 2027\n86861 100000\n48157 72122\n36225 54157\n176 265\n53424 80071\n37893 56672\n29806 44543\n26066 38955\n12261 18390\n18669 27925\n76465 100000\n73439 100000\n68367 100000\n70003 100000\n24930 37253\n44688 66877\n12348 18521\n23247 34764\n22976 34347\n14952 22387\n15783 23635\n84864 100000\n93657 100000\n821 1247\n11265 16889\n47482 71105\n35233 52667\n53145 79650\n13066 19582\n2248 3388\n7767 11626\n24179 36158\n18435 27585\n15676 23480\n53072 79538\n79532 100000\n74561 100000\n31235 46701\n96098 100000\n5643 8457\n22216 33199\n38946 58280\n63778 95659\n29293 43762\n50644 75872\n39638 59326\n48291 72318\n11108 16651\n83446 100000\n80424 100000\n99912 100000\n48733 72982\n61461 92199\n74380 100000\n36786 54990\n2016 3033\n66829 100000\n40105 60019\n25577 38208\n15400 23054\n60189 90286\n86396 100000\n74852 100000\n36292 54258\n58057 87077\n3038 4575\n47263 70768\n96261 100000\n65429 98140\n56318 84426\n49940 74817\n27833 41589\n62684 94028\n29174 43588\n42794 64028\n16396 24540\n80248 100000\n81001 100000\n70 106\n76580 100000\n14563 21811\n79307 100000\n53693 80490\n1537 2326\n83752 100000\n40528 60658\n33045 49404\n5546 8315\n48432 72523\n8198 12276\n90419 100000\n58255 87372\n78187 100000\n39836 59625\n13255 19861\n24777 37027\n35536 53122\n30319 45319\n88644 100000\n53170 79685\n96297 100000\n25460 38041\n71332 100000\n96868 100000\n38747 57982\n80246 100000\n56194 84241\n50632 75855\n68436 100000\n90599 100000\n90487 100000\n65201 97796\n65304 97950\n798 1211\n13048 19558\n81347 100000\n59509 89253\n52727 79031\n15948 23878\n58236 87345\n62926 94395\n67340 100000\n34415 51437\n3133 4726\n11707 17556\n78270 100000\n31180 46617\n15421 23089\n41235 61718\n95110 100000\n18951 28346\n87620 100000\n29431 43962\n92151 100000\n24025 35932\n24469 36574\n71820 100000\n89033 100000\n22420 33507\n46256 69248\n64094 96131\n17134 25631\n25688 38374\n36079 53941\n41697 62390\n38585 57735\n15516 23233\n13327 19970\n3854 5802\n81475 100000\n51091 76549\n43058 64417\n31625 47294\n30373 45401\n23355 34924\n43225 64677\n3390 5103\n1054 1612\n34070 50921\n80162 100000\n51363 76961\n78740 100000\n16444 24605\n73963 100000\n9438 14161\n83496 100000\n25637 38293\n73585 100000\n29881 44660\n69029 100000\n46063 68955\n18691 27962\n99783 100000\n216 328\n62419 93639\n77664 100000\n51113 76579\n56905 85303\n19978 29868\n13649 20447\n94937 100000\n83856 100000\n62925 94394\n40078 59981\n15909 23821\n23912 35762\n26751 39977\n98280 100000\n42843 64101\n23692 35426\n48687 72915\n17780 26597\n85080 100000\n8474 12684\n17008 25440\n12104 18162\n58431 87645\n65410 98112\n14959 22396\n85274 100000\n70567 100000\n70952 100000\n62953 94434\n63901 95841\n7641 11436\n44074 65959\n8882 13312\n48809 73095\n58478 87712\n33278 49748\n11667 17495\n31112 46520\n73931 100000\n35845 53583\n95471 100000\n55934 83852\n58618 87918\n20646 30875\n37076 55441\n45768 68507\n47798 71581\n90496 100000\n14102 21121\n66028 99047\n62554 93838\n13240 19838\n56247 84311\n40901 61213\n73028 100000\n13016 19510\n64087 96117\n65404 98102\n64621 96925\n72799 100000\n17414 26057\n55236 82812\n9953 14929\n70509 100000\n68128 100000\n12418 18621\n77231 100000\n70378 100000\n91975 100000\n31498 47098\n97234 100000\n88411 100000\n71658 100000\n7357 11014\n94334 100000\n47705 71440\n50234 75260\n9194 13796\n88593 100000\n17586 26306\n39639 59328\n63728 95588\n78226 100000\n28119 42015\n78247 100000\n72847 100000\n89966 100000\n43254 64718\n97813 100000\n60287 90434\n99819 100000\n3978 5995\n79789 100000\n99724 100000\n78603 100000\n24959 37290\n74567 100000\n17518 26210\n9266 13904\n87518 100000\n98591 100000\n98108 100000\n61412 92132\n60635 90955\n87820 100000\n77208 100000\n23953 35823\n35853 53594\n66469 99729\n18789 28107\n41032 61415\n81841 100000\n88425 100000\n22519 33660\n4069 6128\n28287 42271\n18384 27510\n22587 33768\n45342 67862\n57778 86660\n81177 100000\n54416 81571\n48670 72889\n18203 27237\n68827 100000\n43788 65527\n38945 58279\n82102 100000\n65917 98877\n21631 32341\n43936 65759\n14566 21814\n96507 100000\n72039 100000\n47743 71498\n11681 17516\n29513 44084\n97437 100000\n4219 6351\n77790 100000\n61690 92543\n95600 100000\n35955 53747\n95565 100000\n47126 70560\n96102 100000\n68485 100000\n10595 15900\n65834 98752\n59068 88579\n21627 32334\n44391 66436\n68861 100000\n94595 100000\n61323 92005\n78532 100000\n39631 59314\n38341 57353\n48588 72767\n2373 3583\n21888 32718\n89486 100000\n81667 100000\n32810 49060\n64011 96007\n72195 100000\n48470 72580\n76520 100000\n84583 100000\n10103 15157\n45994 68853\n12065 18101\n28179 42111\n33743 50430\n81343 100000\n81755 100000\n62970 94456\n83958 100000\n30418 45469\n579 879\n77566 100000\n87471 100000\n43291 64774\n46391 69451\n43640 65307\n48645 72850\n57370 86026\n75550 100000\n16252 24335\n58147 87206\n94096 100000\n19044 28471\n9680 14517\n93222 100000\n49986 74882\n25785 38521\n66192 99308\n54665 81952\n55733 83555\n49548 74234\n74667 100000\n39149 58582\n29009 43348\n62670 94005\n76185 100000\n67431 100000\n65704 98557\n68446 100000\n83850 100000\n47104 70526\n95495 100000\n26801 40048\n74760 100000\n9753 14632\n20734 31002\n53558 80278\n97603 100000\n26449 39534\n89132 100000\n90793 100000\n15382 23026\n74462 100000\n84622 100000\n31593 47240\n75781 100000\n40361 60403\n63329 94996\n18367 27483\n86313 100000\n60327 90495\n90807 100000\n49093 73530\n46754 70002\n57232 85817\n80876 100000\n44430 66491\n90457 100000\n83286 100000\n31084 46479\n1474 2233\n21688 32423\n88715 100000\n37673 56334\n7738 11584\n9842 14767\n96885 100000\n74616 100000\n99188 100000\n80802 100000\n1909 2874\n52423 78571\n87439 100000\n53916 80819\n17277 25850\n36234 54168\n62094 93162\n41703 62399\n21272 31799\n45385 67926\n90586 100000\n44762 66986\n11033 16543\n40255 60239\n43576 65204\n65193 97785\n12612 18910\n60649 90976\n89902 100000\n56663 84943\n51517 77193\n54134 81152\n13725 20553\n27007 40359\n72448 100000\n30219 45166\n81468 100000\n8196 12273\n25478 38067\n88340 100000\n88714 100000\n46398 69462\n11844 17756\n81896 100000\n89494 100000\n32334 48354\n33250 49710\n67672 100000\n95649 100000\n55156 82699\n28991 43318\n67506 100000\n27053 40426\n37606 56227\n50695 75943\n36557 54661\n51250 76784\n85908 100000\n94852 100000\n46925 70258\n41009 61380\n7595 11371\n52684 78967\n37350 55849\n93475 100000\n75395 100000\n5163 7754\n60055 90083\n55471 83156\n66735 100000\n37101 55478\n62040 93074\n69996 100000\n16592 24822\n9687 14529\n33387 49908\n5066 7607\n80955 100000\n42155 63075\n4975 7474\n10844 16259\n17983 26914\n66951 100000\n40752 60989\n44648 66819\n44509 66612\n54889 82291\n26923 40234\n75335 100000\n63754 95624\n55296 82901\n21093 31539\n3387 5100\n9118 13680\n3031 4566\n54936 82363\n35777 53484\n41373 61927\n50609 75826\n83088 100000\n49427 74050\n39573 59229\n70008 100000\n41657 62336\n19625 29338\n54722 82040\n71444 100000\n92590 100000\n93627 100000\n30808 46059\n28789 43014\n217 329\n69002 100000\n66391 99606\n33688 50350\n16371 24501\n20131 30107\n59835 89742\n85573 100000\n92681 100000\n20925 31277\n85927 100000\n74482 100000\n7924 11864\n13381 20054\n91596 100000\n69939 100000\n80622 100000\n51059 76496\n32330 48348\n57248 85843\n50283 75332\n35471 53026\n75776 100000\n27261 40729\n49007 73393\n8719 13065\n92015 100000\n58680 88012\n82764 100000\n69625 100000\n36941 55229\n85264 100000\n65496 98245\n23500 35151\n58596 87887\n99537 100000\n23832 35638\n84258 100000\n90679 100000\n58999 88479\n46387 69445\n12394 18589\n98120 100000\n43439 64998\n79569 100000\n15855 23737\n36798 55008\n39893 59709\n96235 100000\n46767 70020\n35468 53022\n12610 18906\n92950 100000\n98960 100000\n18115 27111\n85890 100000\n35093 52459\n77490 100000\n87335 100000\n31575 47212\n37665 56321\n86123 100000\n22447 33553\n90032 100000\n44619 66777\n96086 100000\n10228 15349\n47101 70521\n53726 80537\n56214 84266\n73606 100000\n41723 62429\n84089 100000\n86931 100000\n2147 3237\n63828 95730\n90439 100000\n7815 11698\n92796 100000\n57792 86683\n52355 78470\n71993 100000\n10720 16083\n92200 100000\n13773 20627\n57848 86764\n47855 71669\n20054 29982\n12415 18616\n89318 100000\n20867 31194\n40465 60560\n21005 31401\n84149 100000\n88235 100000\n25074 37460\n59347 89001\n70280 100000\n91426 100000\n62696 94045\n12843 19254\n95642 100000\n66940 100000\n99890 100000\n93854 100000\n72716 100000\n35058 52408\n84460 100000\n67894 100000\n54629 81894\n4747 7138\n81860 100000\n70160 100000\n73865 100000\n44404 66455\n49191 73684\n88437 100000\n38679 57878\n31107 46511\n18458 27619\n23502 35154\n98832 100000\n92185 100000\n11460 17186\n33633 50268\n37179 55594\n39969 59818\n40761 61004\n72629 100000\n91347 100000\n79531 100000\n27606 41249\n23943 35810\n26978 40316\n13536 20283\n19346 28924\n92386 100000\n53652 80428\n3034 4570\n22214 33196\n62683 94027\n61740 92615\n86435 100000\n63945 95910\n98025 100000\n42180 63111\n3104 4681\n20920 31270\n74340 100000\n47142 70586\n9609 14404\n61770 92661\n33702 50367\n31964 47795\n69689 100000\n41894 62676\n34764 51977\n73802 100000\n85512 100000\n68656 100000\n87437 100000\n30248 45209\n73828 100000\n33957 50747\n87217 100000\n22546 33706\n86103 100000\n94514 100000\n22377 33440\n6088 9117\n3893 5862\n5595 8388\n4107 6182\n37682 56349\n83603 100000\n35038 52379\n73851 100000\n25510 38113\n95017 100000\n20020 29929\n12298 18446\n79997 100000\n33902 50662\n2285 3447\n96066 100000\n47549 71211\n13952 20895\n90467 100000\n69993 100000\n33298 49777\n17360 25974\n36622 54752\n47376 70945\n33369 49879\n96211 100000\n52506 78696\n57396 86063\n18678 27941\n84458 100000\n88325 100000\n39673 59382\n48426 72513\n40625 60804\n49015 73405\n27745 41454\n43507 65098\n36997 55315\n14558 21804\n32188 48134\n85481 100000\n36347 54348\n87772 100000\n40341 60372\n5905 8839\n1483 2248\n94576 100000\n34769 51985\n29168 43577\n44204 66153\n71374 100000\n30583 45709\n93203 100000\n1642 2486\n49479 74128\n89186 100000\n57895 86836\n55124 82651\n39627 59309\n61427 92153\n9534 14295\n43874 65662\n98464 100000\n41709 62407\n91234 100000\n9697 14544\n36294 54261\n9502 14252\n64861 97280\n45761 68496\n24213 36212\n261 394\n3943 5945\n16711 24997\n86217 100000\n16370 24500\n73132 100000\n61586 92386\n84740 100000\n78179 100000\n65010 97502\n35712 53391\n10763 16148\n29977 44804\n22580 33755\n77907 100000\n20376 30472\n50429 75550\n98088 100000\n56331 84448\n43827 65589\n41112 61533\n71611 100000\n4500 6763\n91904 100000\n19980 29871\n89056 100000\n38594 57748\n67049 100000\n15900 23807\n54638 81910\n88539 100000\n76584 100000\n45654 68332\n42346 63366\n69297 100000\n37782 56500\n63425 95139\n248 377\n8670 12987\n1069 1637\n12644 18954\n82317 100000\n95403 100000\n5674 8502\n83230 100000\n98514 100000\n59248 88848\n32899 49188\n11956 17932\n15201 22755\n70896 100000\n80376 100000\n12461 18685\n42321 63329\n35844 53582\n95834 100000\n79263 100000\n28011 41855\n88750 100000\n92987 100000\n755 1152\n60740 91113\n10664 15999\n6824 10209\n16545 24755\n81503 100000\n14668 21956\n48308 72343\n66256 99397\n16635 24884\n67119 100000\n68104 100000\n36992 55306\n20027 29940\n52732 79038\n85195 100000\n99118 100000\n72745 100000\n41881 62658\n35113 52492\n21412 32005\n93698 100000\n59091 88610\n9865 14798\n31469 47054\n95228 100000\n62312 93491\n29459 44003\n47407 70996\n82954 100000\n68428 100000\n39068 58465\n23481 35121\n51280 76828\n21120 31576\n99536 100000\n21555 32228\n55024 82502\n24885 37186\n39802 59575\n78155 100000\n69604 100000\n11364 17037\n32968 49289\n93168 100000\n16603 24838\n93714 100000\n92258 100000\n1002 1533\n8611 12889\n73824 100000\n81727 100000\n10925 16384\n42289 63277\n33857 50595\n26222 39191\n74473 100000\n89736 100000\n61270 91924\n87389 100000\n14680 21973\n61326 92009\n74999 100000\n16351 24472\n77464 100000\n69734 100000\n5369 8055\n59350 89007\n5131 7703\n61447 92180\n72852 100000\n99442 100000\n19189 28691\n70016 100000\n81349 100000\n87300 100000\n10356 15535\n21856 32675\n96200 100000\n74717 100000\n44026 65886\n40930 61258\n29433 43964\n29875 44649\n45309 67811\n77613 100000\n9905 14855\n75404 100000\n53604 80350\n22889 34224\n48093 72024\n13351 20010\n57353 86002\n93058 100000\n18124 27122\n96373 100000\n80271 100000\n94659 100000\n71452 100000\n4010 6047\n10416 15627\n20679 30922\n65283 97922\n37701 56377\n24515 36637\n23964 35840\n97426 100000\n91559 100000\n84421 100000\n58342 87510\n46477 69588\n99057 100000\n42690 63874\n66520 99808\n83074 100000\n78186 100000\n35175 52580\n73456 100000\n51667 77418\n82363 100000\n15220 22782\n38768 58009\n11451 17172\n27863 41632\n17735 26529\n3543 5332\n56495 84695\n54305 81401\n38308 57307\n46125 69044\n33130 49537\n83793 100000\n39047 58431\n83954 100000\n15647 23434\n58487 87727\n54068 81052\n25905 38704\n39394 58957\n12751 19114\n61693 92548\n34209 51134\n43629 65290\n40842 61124\n23543 35207\n74484 100000\n54158 81188\n93016 100000\n19279 28829\n48549 72703\n49730 74507\n46891 70209\n42260 63231\n51425 77057\n60972 91453\n59170 88733\n38332 57340\n84627 100000\n70080 100000\n70863 100000\n97707 100000\n75973 100000\n54318 81421\n34138 51022\n32897 49184\n5598 8393\n62092 93159\n33092 49480\n52131 78134\n20843 31161\n17045 25499\n33216 49660\n76312 100000\n25106 37510\n511 775\n49816 74634\n50391 75495\n52284 78368\n65012 97504\n62793 94189\n60203 90305\n28426 42470\n61632 92452\n32394 48440\n34087 50949\n16868 25231\n15755 23595\n62757 94136\n56649 84922\n10805 16208\n28967 43286\n83870 100000\n30422 45473\n38877 58171\n80697 100000\n56822 85176\n74721 100000\n66144 99229\n76037 100000\n50947 76328\n9073 13615\n95413 100000\n57617 86408\n28077 41952\n56417 84579\n89552 100000\n89250 100000\n19858 29688\n51875 77742\n41690 62382\n52992 79420\n34172 51077\n20935 31293\n97522 100000\n41346 61888\n85126 100000\n63226 94835\n10383 15580\n93635 100000\n80469 100000\n72323 100000\n7447 11146\n58251 87365\n63155 94731\n179 269\n51215 76728\n95332 100000\n15166 22703\n97237 100000\n2122 3199\n27012 40367\n71548 100000\n91534 100000\n62951 94431\n1061 1624\n28066 41936\n30658 45825\n12604 18897\n90379 100000\n69149 100000\n74463 100000\n19866 29699\n75547 100000\n37912 56704\n83506 100000\n56069 84053\n88832 100000\n17670 26436\n39121 58539\n86804 100000\n99897 100000\n1014 1550\n55586 83330\n97257 100000\n24212 36211\n62991 94491\n92623 100000\n73530 100000\n33241 49696\n96097 100000\n8453 12653\n80724 100000\n47327 70863\n21372 31947\n13610 20390\n92970 100000\n13394 20073\n31939 47756\n10598 15903\n8358 12511\n88074 100000\n25422 37989\n43506 65097\n58925 88371\n25008 37359\n9829 14746\n26968 40302\n14709 22021\n10643 15969\n63935 95894\n82966 100000\n42979 64306\n22079 33003\n97154 100000\n29898 44688\n99935 100000\n92533 100000\n55854 83729\n3050 4597\n37218 55655\n61122 91681\n67781 100000\n34765 51978\n28752 42957\n93272 100000\n68775 100000\n53016 79454\n87414 100000\n80910 100000\n40177 60129\n26192 39146\n52304 78398\n99771 100000\n13015 19508\n32082 47975\n30862 46137\n26092 38991\n41161 61606\n99788 100000\n27512 41103\n39415 58990\n73239 100000\n87381 100000\n81463 100000\n8353 12503\n16646 24900\n20421 30544\n43341 64844\n5549 8320\n85206 100000\n23869 35696\n22669 33894\n63197 94795\n53946 80862\n48889 73212\n38289 57277\n10747 16123\n63349 95029\n72311 100000\n27085 40478\n70914 100000\n61508 92274\n97388 100000\n89588 100000\n6827 10214\n19646 29374\n50278 75325\n11747 17612\n82248 100000\n46402 69470\n62086 93149\n80113 100000\n82810 100000\n93816 100000\n24987 37329\n93511 100000\n50302 75364\n49624 74348\n30000 44841\n9436 14157\n76861 100000\n91563 100000\n43249 64711\n61674 92518\n36503 54579\n24768 37015\n89235 100000\n49274 73818\n52756 79073\n80924 100000\n61305 91974\n13241 19840\n56968 85401\n59346 88999\n24788 37042\n10947 16419\n58589 87877\n24383 36451\n54871 82265\n54007 80954\n9949 14923\n15725 23552\n90040 100000\n96194 100000\n56461 84644\n19091 28544\n858 1307\n68692 100000\n39972 59822\n12438 18652\n26125 39043\n51976 77894\n80560 100000\n67548 100000\n67415 100000\n46378 69432\n81726 100000\n41155 61596\n20057 29988\n72029 100000\n44141 66058\n78633 100000\n14114 21139\n11533 17292\n14551 21793\n21865 32687\n38435 57502\n99408 100000\n70962 100000\n90842 100000\n43617 65272\n8230 12319\n93988 100000\n29132 43523\n60739 91111\n48656 72866\n65169 97745\n18650 27896\n18157 27169\n77484 100000\n33694 50358\n58328 87488\n53371 79992\n5583 8372\n93720 100000\n20050 29976\n63993 95983\n36731 54907\n12964 19434\n22455 33565\n95393 100000\n15506 23218\n7254 10860\n29984 44815\n68142 100000\n77717 100000\n2341 3530\n36954 55248\n8225 12312\n80358 100000\n89646 100000\n52604 78848\n36307 54282\n32367 48400\n51606 77328\n70714 100000\n32333 48352\n10489 15738\n89895 100000\n93428 100000\n68197 100000\n28993 43322\n99450 100000\n94063 100000\n27748 41457\n64942 97400\n5946 8897\n4987 7494\n58040 87048\n28351 42369\n5777 8653\n84409 100000\n76116 100000\n55869 83750\n34305 51277\n70466 100000\n48377 72443\n81705 100000\n56592 84835\n95352 100000\n14270 21380\n83974 100000\n65236 97852\n1662 2516\n75639 100000\n64771 97145\n52439 78594\n67465 100000\n65301 97947\n34663 51824\n24070 36002\n81671 100000\n93747 100000\n62694 94042\n89845 100000\n70302 100000\n96629 100000\n99658 100000\n18007 26953\n30767 46000\n19394 29001\n63615 95418\n54312 81411\n91792 100000\n60470 90715\n34900 52174\n67080 100000\n14682 21977\n75322 100000\n708 1074\n64127 96182\n24200 36191\n77198 100000\n84143 100000\n42601 63739\n89574 100000\n91270 100000\n80166 100000\n49033 73435\n33689 50351\n77445 100000\n46371 69421\n80004 100000\n53635 80399\n35198 52616\n98197 100000\n95063 100000\n83011 100000\n32013 47874\n63064 94596\n73361 100000\n32032 47901\n34540 51642\n10443 15665\n13904 20821\n56558 84787\n31156 46586\n85830 100000\n70315 100000\n84629 100000\n46749 69993\n92053 100000\n5625 8430\n361 540\n43556 65173\n96721 100000\n30367 45393\n29394 43906\n50328 75404\n26430 39508\n52880 79254\n58568 87848\n37591 56207\n79084 100000\n49974 74864\n53869 80743\n8317 12450\n65717 98576\n66729 100000\n78998 100000\n88573 100000\n38818 58085\n26706 39910\n35384 52894\n95325 100000\n58752 88119\n59123 88660\n9058 13590\n53692 80489\n34630 51777\n19680 29424\n75023 100000\n94389 100000\n35465 53018\n14808 22164\n65928 98895\n98621 100000\n76474 100000\n73046 100000\n63554 95324\n71311 100000\n12177 18262\n9927 14890\n1350 2049\n80822 100000\n75977 100000\n38707 57921\n79472 100000\n62279 93444\n69551 100000\n73663 100000\n25043 37408\n74651 100000\n51412 77038\n64025 96028\n30712 45912\n21678 32406\n74679 100000\n38840 58116\n24254 36270\n36170 54076\n36893 55160\n95425 100000\n64867 97289\n80730 100000\n18224 27270\n93960 100000\n27190 40626\n5512 8264\n43832 65597\n48096 72029\n32337 48359\n69187 100000\n21872 32696\n47030 70410\n23026 34427\n32956 49270\n52053 78011\n70491 100000\n19955 29830\n11602 17394\n64365 96535\n77627 100000\n90459 100000\n50556 75749\n84991 100000\n19067 28508\n27654 41320\n24259 36279\n35141 52528\n92385 100000\n80238 100000\n92351 100000\n63710 95561\n38024 56868\n34552 51660\n16852 25205\n96723 100000\n85037 100000\n81569 100000\n18594 27814\n56154 84181\n85712 100000\n91928 100000\n77077 100000\n39693 59411\n12655 18972\n39178 58628\n13011 19503\n59361 89023\n17509 26196\n25899 38696\n49494 74150\n93371 100000\n43764 65492\n76959 100000\n23800 35592\n82390 100000\n18863 28214\n1432 2169\n66078 99126\n21261 31783\n24186 36169\n66835 100000\n76414 100000\n93279 100000\n84154 100000\n35364 52867\n59554 89328\n13425 20119\n8421 12602\n64023 96026\n49454 74089\n45197 67641\n86411 100000\n91105 100000\n10849 16267\n47398 70980\n74390 100000\n36716 54884\n57690 86519\n6659 9961\n2386 3600\n739 1128\n3705 5571\n61299 91964\n57574 86341\n77801 100000\n57140 85672\n36411 54448\n23652 35364\n82022 100000\n49470 74113\n68825 100000\n8362 12516\n18720 28004\n79758 100000\n56171 84208\n78793 100000\n11980 17968\n70347 100000\n17687 26459\n21561 32237\n67904 100000\n85308 100000\n95810 100000\n10021 15033\n40301 60307\n28109 42001\n37577 56186\n32427 48485\n29762 44477\n92178 100000\n84774 100000\n5872 8787\n7023 10503\n81396 100000\n80145 100000\n75253 100000\n17429 26077\n68640 100000\n54801 82161\n41096 61509\n82938 100000\n95199 100000\n9388 14079\n67264 100000\n54732 82054\n22362 33419\n16327 24439\n10760 16143\n41946 62752\n20171 30165\n59486 89217\n47681 71400\n55971 83907\n37395 55915\n96029 100000\n86148 100000\n2629 3964\n37138 55533\n56900 85298\n48949 73307\n33288 49762\n9549 14317\n68576 100000\n32737 48944\n29460 44005\n76161 100000\n64808 97201\n73623 100000\n92090 100000\n11588 17371\n44840 67095\n70243 100000\n51708 77481\n99993 100000\n98561 100000\n89798 100000\n51684 77446\n15099 22602\n74860 100000\n93789 100000\n89493 100000\n87840 100000\n69859 100000\n263 397\n67729 100000\n90657 100000\n96628 100000\n18292 27370\n17646 26399\n81500 100000\n17475 26144\n30434 45493\n36899 55168\n8323 12459\n86579 100000\n30681 45861\n64856 97273\n74438 100000\n30557 45674\n58848 88258\n42526 63625\n6611 9887\n57079 85574\n82143 100000\n59830 89737\n99265 100000\n33055 49422\n3362 5058\n12801 19188\n61713 92578\n30759 45987\n6634 9926\n77261 100000\n18924 28308\n61720 92585\n57333 85971\n90052 100000\n5454 8177\n95302 100000\n93049 100000\n98804 100000\n14077 21079\n43779 65513\n70887 100000\n11104 16645\n32253 48233\n12463 18688\n65112 97656\n30158 45071\n72539 100000\n60098 90146\n47054 70445\n81314 100000\n35082 52443\n10308 15468\n74988 100000\n92458 100000\n1023 1563\n80125 100000\n21452 32070\n33284 49757\n68007 100000\n96558 100000\n17929 26833\n74952 100000\n29156 43561\n80982 100000\n75456 100000\n3023 4556\n93436 100000\n98571 100000\n92150 100000\n92008 100000\n60625 90939\n98957 100000\n38391 57433\n27631 41288\n91305 100000\n61768 92658\n2387 3602\n92017 100000\n87088 100000\n50976 76371\n32050 47928\n95658 100000\n53052 79510\n15359 22992\n45316 67822\n53826 80678\n95247 100000\n74505 100000\n23042 34452\n42325 63334\n85580 100000\n53403 80036\n77927 100000\n69830 100000\n61764 92653\n89702 100000\n57165 85713\n55470 83154\n44647 66817\n81290 100000\n44200 66148\n39832 59620\n85824 100000\n58983 88454\n48640 72842\n71490 100000\n68221 100000\n25399 37954\n7269 10881\n12260 18389\n43402 64940\n69336 100000\n60569 90855\n70618 100000\n30121 45015\n81599 100000\n19864 29697\n44706 66901\n55040 82527\n25809 38560\n69880 100000\n97127 100000\n58477 87711\n12666 18990\n62448 93680\n90395 100000\n88293 100000\n44864 67132\n94639 100000\n68352 100000\n43849 65621\n33606 50235\n82269 100000\n70009 100000\n42410 63461\n38734 57960\n91079 100000\n73375 100000\n56494 84693\n12520 18772\n18361 27474\n79911 100000\n19329 28900\n56209 84259\n99310 100000\n51692 77456\n97621 100000\n74365 100000\n63703 95551\n81864 100000\n50151 75133\n31626 47295\n96299 100000\n66398 99618\n68479 100000\n92569 100000\n75066 100000\n20757 31034\n19496 29147\n1346 2043\n75852 100000\n72710 100000\n52881 79255\n43200 64636\n1833 2759\n18534 27729\n88880 100000\n24688 36894\n65661 98493\n80309 100000\n7704 11532\n15272 22864\n42947 64260\n63043 94564\n63763 95638\n23316 34865\n29715 44407\n49079 73506\n20085 30033\n76300 100000\n22291 33311\n93631 100000\n21439 32051\n24539 36674\n7948 11905\n28123 42021\n52384 78514\n98764 100000\n50795 76092\n52456 78621\n89480 100000\n5345 8020\n44933 67245\n92283 100000\n15174 22716\n87864 100000\n23025 34426\n66708 100000\n95222 100000\n1616 2448\n51267 76811\n92440 100000\n23499 35149\n34998 52320\n80110 100000\n35224 52653\n57168 85718\n883 1348\n47583 71261\n97241 100000\n45358 67885\n5588 8379\n49244 73771\n80446 100000\n73479 100000\n16467 24638\n10794 16193\n68202 100000\n62291 93460\n41338 61878\n51413 77040\n51104 76565\n57969 86946\n12749 19112\n15875 23770\n28821 43065\n90158 100000\n75931 100000\n42404 63453\n83035 100000\n50647 75876\n74075 100000\n30029 44883\n98796 100000\n13970 20924\n17205 25745\n31710 47425\n97436 100000\n18360 27472\n84215 100000\n20802 31102\n66952 100000\n24265 36286\n44996 67333\n78380 100000\n30703 45896\n73357 100000\n93116 100000\n57762 86633\n6503 9719\n11471 17201\n51216 76729\n96160 100000\n68049 100000\n50052 74983\n71396 100000\n90136 100000\n28678 42847\n79926 100000\n34976 52284\n45983 68836\n74879 100000\n26871 40152\n2037 3067\n6077 9100\n51386 76997\n95866 100000\n58575 87857\n53992 80934\n50365 75459\n85018 100000\n78306 100000\n62767 94150\n58930 88379\n92240 100000\n31505 47110\n24482 36591\n14739 22066\n70403 100000\n54408 81560\n34076 50931\n72200 100000\n7769 11629\n77826 100000\n8987 13478\n62581 93879\n98330 100000\n3096 4669\n62866 94303\n87556 100000\n71607 100000\n26829 40089\n73757 100000\n47461 71074\n71729 100000\n18274 27343\n28040 41897\n87028 100000\n88029 100000\n80624 100000\n98468 100000\n71600 100000\n69750 100000\n64967 97434\n97220 100000\n69644 100000\n29799 44532\n68468 100000\n68732 100000\n78209 100000\n45286 67777\n9667 14496\n42708 63903\n80289 100000\n49050 73461\n32335 48356\n3967 5979\n49909 74774\n23865 35690\n58017 87021\n17550 26255\n50530 75708\n5469 8199\n68988 100000\n36789 54995\n11090 16627\n42414 63467\n3414 5143\n49938 74814\n33004 49342\n7993 11967\n36631 54764\n98156 100000\n98697 100000\n61310 91982\n43421 64967\n12356 18530\n32236 48208\n25943 38761\n5105 7667\n45611 68267\n27940 41747\n10701 16055\n20039 29960\n73947 100000\n39616 59292\n57285 85903\n5820 8713\n13156 19712\n75422 100000\n2107 3178\n60438 90662\n41153 61593\n14369 21520\n96274 100000\n97213 100000\n95675 100000\n17140 25640\n78847 100000\n11830 17734\n7433 11125\n20374 30468\n18706 27984\n23743 35502\n88836 100000\n73759 100000\n90498 100000\n93126 100000\n6400 9579\n36558 54662\n68740 100000\n57968 86945\n51544 77232\n69067 100000\n6945 10383\n29362 43858\n53705 80506\n65681 98522\n10197 15296\n43717 65418\n55443 83115\n20395 30503\n82887 100000\n82273 100000\n33878 50626\n32873 49145\n54711 82022\n24756 36995\n3108 4688\n91173 100000\n6771 10132\n87193 100000\n36604 54727\n28220 42176\n38776 58020\n700 1061\n85782 100000\n50522 75696\n18029 26984\n26538 39667\n68164 100000\n68012 100000\n63454 95180\n8433 12621\n54040 81009\n41962 62778\n88760 100000\n93576 100000\n94446 100000\n84310 100000\n45915 68733\n84378 100000\n98046 100000\n28138 42043\n7782 11649\n76439 100000\n5371 8058\n73996 100000\n86254 100000\n16251 24334\n2941 4428\n22038 32938\n98162 100000\n38951 58287\n79406 100000\n12495 18732\n23061 34480\n74511 100000\n9219 13838\n67565 100000\n51388 76999\n58677 88009\n31154 46582\n91908 100000\n18662 27914\n76183 100000\n19554 29232\n55960 83891\n88973 100000\n59799 89690\n21128 31589\n69897 100000\n50369 75465\n45016 67364\n98020 100000\n24011 35913\n63520 95270\n81895 100000\n2729 4113\n99471 100000\n70183 100000\n32990 49324\n11037 16549\n59015 88502\n17098 25575\n48721 72964\n11933 17896\n35980 53784\n2474 3734\n89978 100000\n26754 39981\n93900 100000\n40340 60370\n89495 100000\n92912 100000\n57729 86582\n70987 100000\n78086 100000\n85816 100000\n20702 30957\n21982 32856\n47042 70428\n45492 68088\n78463 100000\n52306 78401\n93457 100000\n78429 100000\n42904 64199\n59853 89769\n96231 100000\n74253 100000\n79601 100000\n60127 90193\n27480 41054\n37505 56078\n29945 44759\n37192 55617\n50488 75646\n19844 29665\n74571 100000\n15257 22842\n60288 90435\n9796 14696\n32005 47860\n8327 12465\n94408 100000\n88999 100000\n96418 100000\n84242 100000\n61370 92073\n77080 100000\n71112 100000\n65373 98056\n59615 89418\n47187 70651\n13530 20273\n30640 45799\n65243 97862\n25110 37516\n12165 18242\n29026 43372\n57378 86037\n83511 100000\n11399 17091\n66190 99305\n20551 30738\n97278 100000\n39803 59577\n14457 21656\n93911 100000\n70077 100000\n28206 42155\n26213 39180\n4559 6854\n76018 100000\n26357 39400\n16941 25339\n42264 63236\n6115 9158\n15159 22691\n30800 46047\n32420 48476\n2428 3664\n14818 22181\n52846 79203\n26608 39771\n8598 12870\n54996 82459\n48486 72605\n62568 93859\n86462 100000\n59065 88574\n27039 40405\n94149 100000\n8105 12135\n1164 1779\n47874 71696\n43032 64380\n89951 100000\n10340 15515\n37479 56040\n77025 100000\n77431 100000\n65347 98016\n73877 100000\n70147 100000\n98077 100000\n42685 63867\n44784 67018\n5739 8599\n54377 81513\n75789 100000\n55294 82899\n44871 67140\n48221 72216\n51044 76474\n55173 82722\n74872 100000\n82263 100000\n83606 100000\n61426 92152\n89847 100000\n5211 7827\n50561 75756\n62625 93942\n56217 84269\n47232 70717\n17839 26686\n66956 100000\n86983 100000\n87987 100000\n24731 36960\n74586 100000\n63902 95843\n40807 61073\n30115 45007\n46779 70038\n72639 100000\n84830 100000\n85911 100000\n54119 81128\n26907 40206\n72564 100000\n14951 22385\n39462 59058\n77316 100000\n29769 44489\n17459 26121\n79922 100000\n92711 100000\n16364 24493\n94647 100000\n58720 88074\n91403 100000\n93254 100000\n74189 100000\n38714 57933\n93670 100000\n25811 38564\n51448 77088\n85739 100000\n22342 33386\n74670 100000\n16091 24096\n34129 51009\n50162 75149\n8563 12815\n5885 8807\n16862 25222\n64272 96396\n37959 56766\n51191 76692\n72333 100000\n55561 83289\n72577 100000\n51285 76837\n82772 100000\n12282 18424\n67679 100000\n59741 89603\n37163 55573\n93776 100000\n91444 100000\n12063 18098\n95444 100000\n75292 100000\n9993 14987\n45248 67722\n19916 29773\n25891 38684\n34298 51264\n50413 75529\n26514 39634\n26887 40177\n4390 6598\n92477 100000\n51873 77738\n49423 74044\n92280 100000\n8512 12741\n50705 75956\n29090 43464\n16731 25028\n15075 22568\n92691 100000\n24590 36753\n5343 8017\n37357 55860\n63839 95746\n63396 95094\n29178 43594\n58908 88347\n97599 100000\n47951 71811\n37196 55624\n42107 62998\n25618 38269\n56439 84611\n44646 66816\n92089 100000\n52020 77961\n12554 18821\n41108 61528\n94828 100000\n55353 82983\n22522 33665\n85749 100000\n6831 10220\n11792 17683\n67964 100000\n27301 40793\n12052 18081\n53401 80034\n55777 83620\n51130 76603\n50296 75355\n36709 54872\n51457 77101\n49343 73920\n98546 100000\n51366 76966\n46006 68871\n71833 100000\n71413 100000\n12845 19256\n68448 100000\n72706 100000\n77581 100000\n66279 99437\n13035 19538\n18999 28415\n3962 5972\n98590 100000\n18773 28083\n9521 14278\n68085 100000\n12712 19055\n68212 100000\n74857 100000\n37236 55681\n99239 100000\n42629 63784\n22346 33392\n10547 15824\n43799 65546\n88269 100000\n96641 100000\n82490 100000\n77577 100000\n48086 72012\n75157 100000\n22822 34122\n48425 72512\n63463 95193\n90318 100000\n23817 35619\n41332 61868\n47741 71496\n55431 83095\n66705 100000\n22578 33752\n88013 100000\n8760 13126\n55429 83091\n25895 38690\n96843 100000\n45840 68617\n43871 65657\n9428 14143\n19881 29725\n56081 84069\n85268 100000\n34455 51504\n62728 94093\n91198 100000\n94700 100000\n41974 62793\n70689 100000\n61723 92589\n98634 100000\n19671 29411\n19097 28554\n40911 61228\n43504 65093\n79131 100000\n65721 98584\n29787 44514\n57130 85653\n50966 76357\n2303 3472\n38918 58233\n84299 100000\n27120 40529\n16655 24913\n83597 100000\n12051 18080\n97791 100000\n66379 99584\n38031 56880\n46785 70049\n76124 100000\n91873 100000\n81080 100000\n7913 11848\n86497 100000\n44527 66640\n34550 51658\n98385 100000\n83321 100000\n7064 10564\n12430 18640\n87256 100000\n15958 23894\n94886 100000\n54072 81058\n84903 100000\n89636 100000\n80581 100000\n58081 87113\n49498 74156\n64815 97210\n38219 57172\n93516 100000\n34225 51158\n90715 100000\n74839 100000\n55862 83741\n15641 23423\n54979 82432\n38112 57006\n91914 100000\n38479 57569\n12255 18381\n61482 92231\n20478 30631\n17447 26101\n54057 81036\n26171 39113\n82565 100000\n90925 100000\n62202 93328\n66106 99169\n27186 40620\n73187 100000\n62960 94443\n4304 6467\n87902 100000\n78909 100000\n99694 100000\n43623 65281\n72600 100000\n48345 72399\n94309 100000\n81372 100000\n37919 56713\n30205 45146\n23379 34959\n33396 49920\n92724 100000\n48757 73018\n98274 100000\n45370 67904\n67238 100000\n30471 45548\n74752 100000\n1254 1908\n79718 100000\n51642 77380\n69645 100000\n70649 100000\n65393 98085\n17064 25526\n47885 71713\n56248 84312\n49235 73755\n82100 100000\n37200 55631\n84013 100000\n65646 98473\n49489 74141\n67833 100000\n16989 25412\n9918 14877\n22400 33477\n41556 62185\n780 1188\n63932 95888\n9661 14487\n40426 60503\n48463 72569\n47508 71145\n66161 99255\n67449 100000\n21642 32354\n91096 100000\n32627 48785\n47006 70378\n19153 28640\n57606 86392\n43815 65570\n83250 100000\n6650 9949\n9036 13555\n43975 65811\n69554 100000\n7399 11075\n92671 100000\n26096 38998\n65194 97787\n68115 100000\n88837 100000\n90638 100000\n94029 100000\n67120 100000\n9943 14914\n33593 50216\n32311 48319\n37094 55468\n14425 21607\n92416 100000\n3268 4927\n96354 100000\n36216 54144\n93937 100000\n94548 100000\n21004 31400\n44032 65896\n7705 11534\n62563 93851\n27089 40482\n91358 100000\n96521 100000\n20996 31388\n46631 69818\n61152 91732\n3702 5566\n50336 75417\n98743 100000\n74317 100000\n58895 88327\n4749 7141\n37619 56248\n77339 100000\n34958 52259\n21994 32874\n44082 65970\n49374 73967\n42924 64226\n47730 71478\n62645 93971\n58254 87370\n34999 52321\n85866 100000\n50097 75049\n42894 64183\n82298 100000\n20824 31133\n42493 63578\n12288 18432\n6840 10233\n53410 80048\n11099 16639\n17409 26048\n68391 100000\n39511 59134\n8518 12749\n41890 62672\n45062 67434\n13874 20777\n34974 52281\n18798 28122\n89429 100000\n39656 59354\n10492 15742\n82471 100000\n90323 100000\n16303 24408\n48238 72243\n19640 29365\n87817 100000\n68416 100000\n71933 100000\n2655 4000\n6739 10081\n13733 20566\n69068 100000\n30901 46194\n102 158\n75418 100000\n371 555\n64238 96346\n52768 79091\n10923 16380\n2009 3023\n55736 83560\n21099 31548\n93389 100000\n75943 100000\n15145 22670\n23615 35310\n44679 66863\n34454 51503\n51767 77574\n78313 100000\n79578 100000\n44597 66746\n31382 46923\n44276 66259\n43190 64621\n12310 18465\n92186 100000\n84756 100000\n11255 16876\n90905 100000\n66087 99139\n90603 100000\n42838 64095\n78260 100000\n24763 37005\n46581 69742\n83684 100000\n45266 67749\n50100 75054\n44711 66909\n31594 47242\n47329 70866\n8667 12981\n44427 66485\n68755 100000\n47552 71215\n65294 97937\n90695 100000\n88798 100000\n50605 75820\n66699 100000\n29151 43552\n5681 8511\n11651 17471\n11357 17025\n91699 100000\n92063 100000\n7513 11257\n49508 74171\n3447 5191\n73713 100000\n49784 74589\n43977 65815\n71962 100000\n65869 98803\n62756 94135\n65500 98251\n99513 100000\n21635 32345\n69208 100000\n29559 44153\n49873 74723\n71090 100000\n50057 74990\n72713 100000\n28802 43033\n31960 47788\n78088 100000\n98727 100000\n50235 75261\n31056 46436\n48214 72203\n51910 77792\n49055 73470\n81294 100000\n19093 28547\n25801 38545\n14755 22086\n33019 49364\n5335 8005\n74264 100000\n63915 95860\n61948 92935\n24917 37232\n75698 100000\n98259 100000\n92353 100000\n27733 41434\n24700 36913\n88765 100000\n95711 100000\n10403 15610\n78395 100000\n99702 100000\n87119 100000\n79564 100000\n16069 24064\n30017 44867\n53737 80552\n73526 100000\n26736 39955\n58274 87402\n62348 93546\n70879 100000\n13204 19786\n50969 76362\n81857 100000\n72263 100000\n18838 28178\n81066 100000\n50196 75200\n16728 25023\n35828 53559\n16390 24531\n94753 100000\n31461 47039\n24869 37161\n44086 65976\n19347 28925\n85542 100000\n33993 50802\n72957 100000\n61352 92049\n12428 18636\n17690 26463\n6693 10014\n59122 88658\n34801 52029\n73797 100000\n50345 75430\n43157 64571\n58674 88004\n11751 17618\n88128 100000\n75449 100000\n66305 99476\n34385 51393\n67973 100000\n1977 2974\n10554 15835\n1235 1878\n77698 100000\n41381 61938\n54685 81980\n85376 100000\n39942 59780\n67743 100000\n65380 98066\n83319 100000\n45582 68225\n20458 30600\n73857 100000\n37743 56443\n37457 56008\n46589 69754\n12503 18745\n35833 53568\n33491 50062\n77410 100000\n68076 100000\n28871 43142\n11593 17380\n97341 100000\n64933 97388\n28746 42948\n537 815\n8373 12535\n38744 57976\n32283 48275\n56923 85333\n44125 66038\n45697 68399\n63446 95169\n11115 16660\n94676 100000\n19417 29037\n92930 100000\n50299 75360\n84030 100000\n15885 23784\n19132 28611\n31675 47376\n8452 12651\n42018 62860\n84816 100000\n95585 100000\n92932 100000\n68877 100000\n94516 100000\n25896 38692\n34025 50851\n96763 100000\n36409 54445\n24491 36605\n64014 96011\n52943 79346\n50946 76326\n73662 100000\n53195 79719\n47285 70798\n33793 50500\n79184 100000\n58567 87847\n24364 36428\n85215 100000\n18342 27443\n49192 73685\n84111 100000\n21698 32442\n82655 100000\n77094 100000\n32307 48313\n97763 100000\n32725 48926\n27049 40419\n33910 50672\n52329 78431\n12994 19477\n33552 50151\n36260 54208\n92519 100000\n63006 94512\n89785 100000\n54624 81885\n99707 100000\n45343 67864\n31617 47280\n76690 100000\n60037 90057\n45108 67502\n95987 100000\n39931 59764\n51486 77145\n67313 100000\n44529 66643\n74989 100000\n57647 86452\n34424 51451\n89539 100000\n51868 77733\n69720 100000\n38571 57714\n29839 44592\n23236 34744\n18738 28030\n52735 79042\n54554 81778\n95064 100000\n53198 79723\n58768 88143\n69263 100000\n54738 82063\n82017 100000\n59250 88852\n56317 84424\n96487 100000\n37775 56488\n85948 100000\n34759 51970\n7519 11266\n55295 82900\n99637 100000\n33920 50686\n38486 57579\n61644 92470\n20022 29932\n60789 91186\n65519 98277\n3069 4625\n89428 100000\n66113 99180\n55068 82568\n27982 41810\n20860 31184\n24468 36573\n80723 100000\n35299 52770\n94288 100000\n52374 78500\n45880 68679\n9133 13702\n74724 100000\n81141 100000\n33095 49484\n98899 100000\n10117 15176\n87076 100000\n39116 58533\n43767 65496\n77673 100000\n43786 65525\n3234 4877\n96765 100000\n88057 100000\n75117 100000\n41464 62052\n2113 3187\n18373 27493\n6071 9090\n58162 87228\n60730 91098\n30501 45594\n85613 100000\n3165 4768\n10985 16474\n80805 100000\n91822 100000\n54931 82357\n10867 16294\n93610 100000\n18656 27904\n16615 24855\n32618 48771\n59635 89449\n43363 64877\n44328 66342\n46690 69909\n60737 91108\n83938 100000\n75480 100000\n35289 52753\n84002 100000\n95171 100000\n72987 100000\n59289 88911\n49859 74699\n95748 100000\n587 892\n79650 100000\n69338 100000\n66088 99141\n20533 30714\n24466 36571\n163 247\n87755 100000\n17887 26764\n98027 100000\n83554 100000\n391 590\n80279 100000\n14502 21720\n82970 100000\n38098 56984\n35555 53149\n61654 92485\n74702 100000\n67814 100000\n13227 19819\n42352 63376\n27589 41221\n451 681\n32157 48087\n93014 100000\n68746 100000\n33326 49820\n55514 83216\n8816 13214\n57955 86923\n63836 95743\n1332 2021\n2095 3160\n64076 96103\n23000 34383\n877 1337\n88872 100000\n84254 100000\n82005 100000\n72370 100000\n14850 22234\n66733 100000\n95884 100000\n46708 69936\n71647 100000\n58949 88404\n70904 100000\n57449 86151\n85671 100000\n47821 71616\n56534 84754\n96355 100000\n10638 15961\n14670 21959\n83184 100000\n36218 54147\n84564 100000\n34159 51056\n42340 63356\n4176 6286\n72402 100000\n47148 70595\n23750 35512\n90460 100000\n26710 39915\n78976 100000\n65009 97500\n57057 85542\n2208 3332\n35585 53195\n19156 28644\n97302 100000\n72683 100000\n5299 7952\n93426 100000\n71646 100000\n22105 33039\n86343 100000\n90236 100000\n13967 20921\n71341 100000\n35340 52830\n18824 28157\n98497 100000\n11358 17027\n92749 100000\n69688 100000\n60606 90910\n52487 78669\n7954 11913\n56396 84544\n52600 78842\n89309 100000\n10482 15725\n44301 66299\n75741 100000\n1074 1642\n98435 100000\n5014 7534\n18591 27810\n39868 59674\n85756 100000\n32883 49162\n64369 96542\n19951 29825\n41849 62611\n11241 16853\n73179 100000\n68014 100000\n40670 60868\n63211 94815\n58428 87642\n39592 59255\n56925 85336\n82139 100000\n61020 91525\n48573 72741\n33580 50195\n16122 24145\n80260 100000\n91929 100000\n69883 100000\n2472 3732\n14235 21323\n52549 78766\n25258 37735\n59754 89623\n46081 68982\n60555 90837\n64721 97072\n8715 13057\n20857 31180\n96314 100000\n21271 31797\n3536 5322\n37091 55464\n14098 21114\n5160 7749\n42571 63695\n61131 91697\n48804 73086\n66916 100000\n88225 100000\n4933 7414\n48457 72560\n50048 74976\n49902 74763\n64541 96801\n9898 14843\n67351 100000\n11281 16914\n67263 100000\n46344 69377\n81760 100000\n25848 38620\n60603 90906\n2615 3945\n36135 54028\n61952 92942\n81429 100000\n29490 44051\n65543 98316\n58263 87384\n88312 100000\n73513 100000\n16893 25269\n96949 100000\n40571 60720\n15395 23047\n48212 72200\n39129 58552\n55472 83158\n38307 57306\n50396 75502\n1787 2689\n17948 26863\n89828 100000\n64472 96686\n76925 100000\n97521 100000\n17164 25678\n86670 100000\n29314 43790\n21607 32302\n60599 90899\n678 1033\n56142 84162\n81546 100000\n45179 67616\n46624 69808\n83448 100000\n38378 57412\n37100 55477\n49819 74639\n74541 100000\n94087 100000\n18314 27401\n45946 68780\n67668 100000\n37024 55356\n90159 100000\n65873 98808\n62328 93517\n38850 58130\n81645 100000\n19455 29093\n4557 6851\n14092 21104\n64743 97107\n84707 100000\n59132 88674\n15072 22564\n96412 100000\n23477 35116\n77130 100000\n36835 55069\n22730 33991\n74487 100000\n1375 2086\n56921 85329\n22264 33270\n90655 100000\n95058 100000\n7935 11883\n35599 53217\n78007 100000\n38448 57522\n17402 26038\n77930 100000\n96271 100000\n81238 100000\n44932 67243\n70806 100000\n22018 32910\n77428 100000\n23398 34986\n68437 100000\n35694 53364\n46153 69087\n40948 61287\n5422 8132\n45408 67963\n12575 18853\n30655 45822\n18896 28266\n80207 100000\n69246 100000\n32984 49312\n97194 100000\n43558 65176\n72651 100000\n90436 100000\n76247 100000\n99417 100000\n83541 100000\n81918 100000\n64926 97377\n55118 82644\n76964 100000\n13652 20451\n5924 8866\n42406 63456\n81609 100000\n60586 90884\n46041 68922\n68786 100000\n75951 100000\n29095 43472\n15717 23540\n11674 17507\n66531 99825\n17047 25501\n20197 30198\n39113 58528\n20028 29942\n88646 100000\n12877 19305\n95214 100000\n55607 83362\n25476 38064\n79499 100000\n4210 6337\n7087 10599\n20678 30921\n47135 70575\n38439 57507\n91926 100000\n56570 84804\n73581 100000\n61471 92212\n31351 46875\n99531 100000\n87778 100000\n39246 58744\n82259 100000\n82924 100000\n20761 31041\n30747 45971\n29621 44252\n96897 100000\n33307 49791\n28501 42573\n24389 36459\n68247 100000\n78943 100000\n88633 100000\n84815 100000\n55234 82809\n37574 56181\n39981 59836\n58291 87430\n45200 67645\n22248 33246\n26251 39238\n99303 100000\n10427 15644\n10317 15482\n1471 2228\n48353 72411\n9444 14168\n18788 28106\n61662 92496\n34438 51475\n62452 93686\n89141 100000\n56508 84714\n45970 68814\n8639 12935\n68892 100000\n83119 100000\n70723 100000\n63081 94621\n24837 37113\n81701 100000\n62393 93608\n62713 94068\n5415 8122\n49645 74377\n56596 84842\n89191 100000\n37679 56345\n58184 87259\n34278 51231\n61157 91742\n31758 47490\n53511 80207\n58264 87385\n93539 100000\n97698 100000\n5756 8621\n21732 32491\n69188 100000\n78444 100000\n2056 3098\n28268 42244\n40303 60310\n37241 55687\n94895 100000\n82893 100000\n49126 73582\n94264 100000\n22505 33639\n42661 63834\n16495 24675\n7735 11578\n18103 27093\n17268 25838\n31252 46727\n61793 92696\n16931 25325\n16071 24068\n749 1142\n50473 75622\n47236 70723\n80659 100000\n86803 100000\n61313 91987\n65376 98061\n25817 38573\n19960 29840\n60466 90708\n65433 98146\n86287 100000\n29837 44589\n37541 56131\n72608 100000\n32533 48644\n84309 100000\n79882 100000\n81947 100000\n66500 99772\n39939 59776\n29914 44708\n75079 100000\n60927 91389\n61156 91740\n98284 100000\n44687 66875\n26822 40080\n945 1441\n59705 89550\n75613 100000\n65515 98271\n23674 35400\n55877 83761\n40607 60774\n4527 6807\n13318 19958\n32767 48990\n35015 52346\n50733 75998\n52312 78408\n38547 57674\n53490 80175\n56898 85295\n15277 22872\n41731 62441\n36555 54659\n27536 41141\n34817 52051\n20736 31005\n43702 65394\n57841 86753\n66466 99724\n82487 100000\n53884 80769\n48446 72543\n59455 89173\n95819 100000\n12649 18962\n97857 100000\n58898 88331\n3204 4832\n1709 2580\n20158 30145\n11155 16717\n89130 100000\n47713 71452\n38511 57617\n87945 100000\n97622 100000\n60912 91370\n10045 15071\n42440 63503\n81321 100000\n44574 66707\n82723 100000\n9157 13738\n9196 13800\n7991 11964\n48853 73158\n71354 100000\n69941 100000\n97057 100000\n3213 4845\n81779 100000\n36080 53942\n87304 100000\n5456 8181\n70558 100000\n56762 85088\n22634 33839\n97885 100000\n39622 59302\n9524 14281\n31114 46523\n35271 52726\n45689 68386\n15887 23788\n75736 100000\n85005 100000\n4043 6091\n90282 100000\n63740 95603\n98193 100000\n6427 9615\n22529 33677\n5309 7967\n86328 100000\n60640 90962\n99476 100000\n18976 28383\n92105 100000\n97015 100000\n57073 85565\n61570 92365\n21833 32644\n31036 46405\n19647 29375\n48888 73210\n87773 100000\n83485 100000\n54356 81480\n79403 100000\n52508 78700\n31068 46453\n58330 87492\n10872 16301\n57429 86116\n15595 23353\n85963 100000\n34470 51528\n93357 100000\n48039 71942\n99081 100000\n46603 69776\n76058 100000\n16455 24621\n92725 100000\n11094 16633\n3145 4742\n19437 29066\n5466 8195\n65491 98238\n45027 67382\n912 1390\n90238 100000\n7415 11101\n49889 74743\n92014 100000\n7028 10509\n52477 78653\n59909 89856\n20249 30284\n24122 36074\n68023 100000\n51003 76411\n6667 9972\n77834 100000\n89704 100000\n89804 100000\n48762 73023\n99441 100000\n75408 100000\n10333 15504\n2321 3501\n30216 45162\n1581 2396\n42813 64056\n68038 100000\n2002 3011\n20787 31081\n70576 100000\n43943 65769\n31320 46833\n40522 60647\n94383 100000\n47450 71061\n65017 97513\n29504 44069\n25031 37392\n25594 38234\n97942 100000\n81720 100000\n47933 71786\n83028 100000\n62130 93220\n50875 76215\n6957 10400\n32905 49197\n70033 100000\n76129 100000\n5989 8964\n12464 18689\n72058 100000\n86715 100000\n57543 86292\n38728 57951\n75997 100000\n95101 100000\n95189 100000\n87602 100000\n60565 90850\n4383 6588\n70179 100000\n68193 100000\n71458 100000\n20011 29916\n27005 40355\n4121 6202\n16847 25197\n61432 92160\n3974 5988\n76358 100000\n73590 100000\n73061 100000\n27643 41307\n49270 73813\n71606 100000\n65978 98971\n78165 100000\n46897 70219\n85277 100000\n37774 56487\n77824 100000\n35150 52542\n74964 100000\n58424 87635\n59637 89451\n53697 80496\n21530 32192\n54775 82120\n30358 45377\n42515 63610\n42615 63760\n87488 100000\n94552 100000\n37097 55472\n51058 76495\n36414 54453\n47424 71024\n83195 100000\n28888 43169\n64016 96014\n40664 60859\n37565 56166\n63983 95968\n8659 12968\n75201 100000\n50146 75126\n44674 66855\n12696 19032\n39643 59334\n3648 5480\n57674 86493\n79176 100000\n25346 37865\n96915 100000\n19085 28534\n4075 6135\n84203 100000\n7742 11590\n96515 100000\n81293 100000\n89901 100000\n32226 48194\n5562 8340\n59051 88550\n77532 100000\n70916 100000\n48478 72591\n32023 47889\n35516 53092\n73622 100000\n67298 100000\n27932 41737\n97637 100000\n1923 2893\n43889 65686\n24561 36710\n71869 100000\n15860 23747\n13483 20202\n99414 100000\n80558 100000\n61110 91662\n78274 100000\n49680 74430\n34556 51665\n19806 29606\n7060 10558\n97433 100000\n96884 100000\n85217 100000\n92779 100000\n86992 100000\n78863 100000\n17504 26188\n11380 17063\n753 1149\n50313 75378\n2739 4129\n831 1261\n6107 9146\n29976 44803\n17723 26511\n33199 49634\n69215 100000\n3938 5939\n29526 44105\n70262 100000\n82685 100000\n3731 5612\n60445 90674\n20123 30093\n88723 100000\n14280 21396\n88259 100000\n2414 3644\n72966 100000\n89348 100000\n25838 38603\n72860 100000\n86900 100000\n33889 50640\n28534 42624\n89290 100000\n30507 45602\n17574 26288\n89396 100000\n48818 73108\n25946 38765\n21245 31762\n40295 60297\n24079 36013\n50109 75068\n3824 5754\n27325 40828\n14385 21544\n80020 100000\n66353 99545\n64399 96581\n41132 61566\n50276 75322\n88382 100000\n4951 7438\n50002 74908\n26836 40099\n68545 100000\n2663 4014\n59586 89372\n26427 39503\n17384 26009\n6075 9097\n15253 22836\n37393 55911\n66649 100000\n47937 71792\n79784 100000\n55422 83082\n76367 100000\n64185 96268\n88285 100000\n42405 63455\n94589 100000\n8634 12926\n10457 15686\n61177 91775\n38250 57220\n85892 100000\n27782 41509\n71878 100000\n57660 86471\n83775 100000\n25767 38495\n65844 98768\n77322 100000\n60630 90948\n92965 100000\n4001 6033\n17745 26543\n83046 100000\n19596 29296\n34826 52065\n10144 15216\n10003 15002\n16721 25014\n25682 38365\n36175 54083\n26198 39155\n30831 46094\n95674 100000\n91604 100000\n38861 58145\n28170 42097\n85435 100000\n74453 100000\n86028 100000\n35637 53275\n47276 70786\n53904 80800\n2778 4191\n55598 83348\n2439 3681\n28516 42594\n84473 100000\n90034 100000\n71131 100000\n70712 100000\n61709 92573\n68140 100000\n68713 100000\n14126 21156\n32498 48590\n64187 96272\n67528 100000\n30531 45635\n59875 89805\n97359 100000\n45667 68352\n56840 85204\n74309 100000\n17710 26491\n83352 100000\n44953 67271\n97007 100000\n58343 87512\n43057 64415\n20573 30770\n3768 5664\n60515 90777\n3147 4744\n19387 28987\n89944 100000\n45435 68002\n77185 100000\n92805 100000\n88478 100000\n73509 100000\n11494 17235\n4159 6263\n56013 83967\n72075 100000\n39326 58865\n58353 87528\n59419 89115\n68607 100000\n55258 82846\n10407 15615\n86445 100000\n53846 80709\n14392 21554\n46674 69886\n27048 40417\n50343 75427\n36196 54115\n5529 8287\n4579 6884\n70203 100000\n32950 49264\n67508 100000\n95294 100000\n78353 100000\n14325 21460\n96888 100000\n36386 54410\n64098 96139\n84440 100000\n18143 27149\n70390 100000\n73191 100000\n58403 87606\n80428 100000\n9506 14256\n1210 1842\n79712 100000\n51614 77343\n42068 62937\n78272 100000\n31973 47806\n97281 100000\n88164 100000\n56759 85083\n62558 93844\n260 392\n57395 86061\n87168 100000\n52512 78707\n88550 100000\n40662 60856\n83186 100000\n37486 56050\n15818 23683\n58479 87713\n8326 12463\n28032 41887\n10552 15831\n2077 3132\n23357 34927\n4600 6916\n99539 100000\n50452 75590\n6510 9730\n48115 72057\n39464 59061\n84861 100000\n92321 100000\n92399 100000\n95138 100000\n61563 92356\n1827 2750\n99089 100000\n13785 20646\n47576 71252\n47633 71329\n73270 100000\n1911 2876\n15358 22991\n92139 100000\n12740 19099\n22974 34343\n52685 78968\n75853 100000\n19470 29113\n50108 75067\n27710 41396\n596 908\n56323 84435\n24830 37103\n64414 96600\n81195 100000\n15089 22587\n14672 21963\n63342 95017\n82051 100000\n82211 100000\n20623 30842\n39797 59568\n78799 100000\n16681 24951\n292 439\n61841 92773\n16125 24149\n34840 52086\n12452 18673\n75807 100000\n80541 100000\n83010 100000\n75527 100000\n7297 10923\n5997 8978\n37178 55593\n36241 54180\n76915 100000\n1390 2107\n81607 100000\n52869 79237\n52197 78223\n16203 24261\n22178 33147\n39267 58776\n17214 25760\n89059 100000\n83771 100000\n59934 89895\n22728 33987\n27509 41099\n68364 100000\n27963 41782\n92580 100000\n56883 85271\n55994 83938\n44287 66278\n4895 7360\n76218 100000\n96215 100000\n60367 90551\n22644 33856\n32835 49091\n48442 72537\n22395 33468\n84575 100000\n4824 7256\n60178 90270\n57125 85644\n33911 50674\n86468 100000\n30446 45510\n96311 100000\n52939 79340\n7030 10513\n19319 28885\n66306 99478\n80115 100000\n92564 100000\n38616 57782\n77574 100000\n66650 100000\n7619 11404\n37312 55789\n90635 100000\n72118 100000\n22396 33470\n39098 58506\n40220 60194\n58580 87863\n39770 59524\n35877 53630\n36143 54038\n68366 100000\n65381 98068\n84407 100000\n10681 16024\n69052 100000\n75248 100000\n77545 100000\n46437 69526\n30340 45349\n56239 84301\n59316 88954\n98105 100000\n65781 98675\n39030 58408\n51339 76922\n54118 81126\n42577 63703\n116 177\n42880 64159\n7894 11818\n45636 68303\n63773 95652\n58866 88285\n74738 100000\n46995 70360\n16173 24217\n57657 86467\n96459 100000\n39476 59082\n60899 91351\n75441 100000\n79885 100000\n23420 35019\n29734 44435\n81887 100000\n75825 100000\n2667 4019\n35752 53448\n88210 100000\n65890 98835\n31438 47007\n87269 100000\n23518 35172\n2738 4127\n13741 20578\n8966 13445\n59702 89544\n47247 70743\n78412 100000\n51372 76975\n28643 42790\n33091 49479\n76165 100000\n32500 48594\n86639 100000\n77401 100000\n27592 41225\n22565 33732\n17904 26792\n8911 13354\n99879 100000\n32955 49269\n99875 100000\n66713 100000\n64984 97460\n89525 100000\n38254 57227\n95769 100000\n16016 23986\n83658 100000\n10803 16206\n80657 100000\n19569 29255\n19482 29127\n46050 68938\n50499 75662\n5199 7809\n48995 73377\n47690 71414\n78818 100000\n25853 38629\n84913 100000\n13569 20332\n46258 69251\n4184 6299\n51116 76583\n7316 10951\n93325 100000\n61960 92953\n35802 53524\n13169 19733\n85588 100000\n49922 74793\n803 1218\n4021 6060\n24971 37308\n25610 38257\n71773 100000\n79993 100000\n82313 100000\n21335 31893\n1819 2736\n1647 2496\n75882 100000\n45169 67598\n13973 20929\n22154 33112\n35603 53223\n71710 100000\n32893 49178\n20712 30971\n35207 52628\n69050 100000\n43548 65161\n73542 100000\n16326 24438\n93307 100000\n65705 98558\n22194 33170\n21094 31540\n19969 29855\n93633 100000\n71310 100000\n49657 74395\n79783 100000\n81285 100000\n90492 100000\n13470 20184\n64241 96351\n34852 52102\n77493 100000\n62794 94191\n30063 44932\n14440 21629\n49449 74084\n85287 100000\n96568 100000\n40602 60769\n60381 90570\n72702 100000\n86510 100000\n11513 17265\n53413 80053\n79048 100000\n25279 37768\n7817 11700\n25274 37762\n86563 100000\n68535 100000\n59703 89546\n353 529\n69535 100000\n83879 100000\n43928 65748\n55698 83500\n28424 42468\n97728 100000\n91862 100000\n16389 24530\n27662 41330\n36410 54446\n63048 94572\n65115 97661\n82842 100000\n63230 94841\n2868 4323\n26488 39596\n32748 48963\n23218 34718\n9937 14905\n58976 88444\n5017 7537\n75596 100000\n39748 59493\n68511 100000\n20201 30204\n88574 100000\n80335 100000\n26051 38928\n80447 100000\n56406 84563\n9331 14002\n68918 100000\n87324 100000\n37567 56169\n95785 100000\n59574 89353\n87682 100000\n16556 24769\n83063 100000\n10065 15101\n90819 100000\n49543 74226\n57957 86926\n11264 16888\n42866 64134\n53901 80795\n6105 9143\n27071 40457\n86136 100000\n87420 100000\n52337 78444\n24398 36471\n82786 100000\n96750 100000\n34036 50868\n65295 97938\n56963 85394\n14088 21097\n43508 65099\n84176 100000\n42730 63936\n77017 100000\n80899 100000\n86454 100000\n33266 49733\n52094 78074\n49651 74385\n20889 31223\n15756 23596\n43835 65602\n73003 100000\n65576 98359\n32214 48178\n60713 91071\n56307 84409\n31014 46369\n19254 28791\n79595 100000\n80539 100000\n81398 100000\n68025 100000\n7762 11616\n32702 48893\n46224 69196\n64638 96948\n31425 46986\n72440 100000\n6028 9026\n17405 26042\n48777 73044\n23436 35046\n80193 100000\n49180 73666\n32928 49230\n62547 93826\n7832 11723\n11850 17766\n52227 78270\n82070 100000\n44598 66748\n29699 44382\n84485 100000\n39830 59616\n98337 100000\n14237 21326\n988 1511\n76457 100000\n86546 100000\n35706 53383\n61727 92596\n73564 100000\n19669 29408\n83307 100000\n93877 100000\n65971 98961\n8842 13253\n98416 100000\n77375 100000\n56395 84543\n31000 46348\n42038 62893\n93943 100000\n44144 66062\n96142 100000\n71408 100000\n24240 36249\n61145 91721\n66038 99064\n33905 50666\n52542 78754\n80330 100000\n56423 84587\n7661 11467\n77945 100000\n32824 49078\n68316 100000\n34182 51091\n96921 100000\n78805 100000\n33103 49495\n36232 54165\n4296 6458\n65322 97977\n97818 100000\n69478 100000\n76385 100000\n56455 84635\n93852 100000\n30252 45215\n40261 60246\n22444 33547\n86270 100000\n78524 100000\n16600 24834\n42607 63747\n8720 13066\n49806 74620\n13751 20592\n88260 100000\n52482 78661\n81949 100000\n20600 30806\n29505 44070\n63062 94594\n53588 80325\n78598 100000\n63461 95190\n61755 92642\n23573 35249\n56309 84411\n50354 75444\n38538 57660\n1088 1662\n22161 33121\n54200 81248\n40117 60038\n77506 100000\n7354 11009\n31786 47531\n8688 13013\n52998 79427\n13426 20120\n63371 95061\n8657 12965\n81458 100000\n74115 100000\n33809 50523\n5966 8930\n1169 1788\n34841 52087\n23976 35859\n64810 97204\n28453 42510\n54100 81099\n85011 100000\n29983 44814\n65857 98783\n74071 100000\n35438 52979\n77576 100000\n87721 100000\n19942 29811\n14319 21452\n70153 100000\n83805 100000\n20127 30100\n91011 100000\n87591 100000\n72215 100000\n75285 100000\n66071 99116\n86952 100000\n71598 100000\n2717 4095\n20271 30316\n19380 28975\n8861 13280\n46532 69670\n94928 100000\n17966 26890\n56792 85133\n52399 78537\n43289 64771\n35846 53584\n36427 54474\n3831 5765\n18602 27827\n67806 100000\n50792 76086\n28045 41905\n44785 67019\n218 330\n94991 100000\n51391 77003\n12378 18564\n98165 100000\n10949 16421\n87126 100000\n74272 100000\n54224 81283\n98474 100000\n56972 85406\n41280 61787\n25130 37542\n58295 87436\n345 519\n17914 26806\n30432 45489\n37082 55452\n99704 100000\n29920 44720\n55566 83298\n21369 31942\n944 1439\n46091 68997\n91099 100000\n34644 51796\n15340 22966\n80637 100000\n7985 11956\n53547 80261\n68205 100000\n61348 92044\n66796 100000\n85635 100000\n88274 100000\n52025 77967\n7192 10762\n90423 100000\n28150 42064\n25555 38178\n94559 100000\n30303 45295\n82977 100000\n41803 62544\n11911 17862\n34754 51964\n92051 100000\n18352 27458\n78228 100000\n55946 83871\n56306 84408\n59886 89820\n59202 88781\n31136 46554\n75833 100000\n78417 100000\n58242 87353\n43458 65022\n97074 100000\n72108 100000\n3605 5419\n79142 100000\n74301 100000\n70852 100000\n49071 73493\n67083 100000\n74160 100000\n56561 84791\n83610 100000\n91742 100000\n65896 98843\n2727 4110\n74917 100000\n18412 27552\n71550 100000\n37710 56391\n62828 94246\n90955 100000\n85192 100000\n165 250\n96733 100000\n81330 100000\n14243 21338\n61411 92131\n78480 100000\n48154 72117\n25412 37975\n3306 4976\n26329 39360\n38357 57379\n19012 28431\n22844 34154\n63498 95240\n37133 55525\n5486 8223\n28421 42464\n88162 100000\n11305 16950\n79481 100000\n98752 100000\n89537 100000\n53049 79506\n63937 95897\n75356 100000\n4770 7176\n4365 6562\n12839 19248\n84091 100000\n46259 69253\n9718 14576\n60315 90476\n9450 14178\n89511 100000\n89382 100000\n49885 74738\n8386 12556\n47 66\n53419 80063\n21379 31958\n60590 90889\n7765 11622\n13229 19822\n36807 55023\n20605 30812\n65892 98837\n88167 100000\n81298 100000\n4576 6880\n20455 30595\n15028 22498\n75116 100000\n28044 41903\n90867 100000\n78650 100000\n74619 100000\n44557 66681\n18545 27742\n87440 100000\n62956 94437\n24467 36572\n55231 82804\n68581 100000\n88023 100000\n32598 48742\n28864 43132\n89339 100000\n88300 100000\n68717 100000\n70010 100000\n50277 75323\n81088 100000\n34637 51787\n73858 100000\n98347 100000\n3920 5910\n52277 78356\n96198 100000\n69154 100000\n5597 8391\n24453 36550\n67630 100000\n75316 100000\n78308 100000\n8026 12017\n46840 70136\n11581 17361\n31353 46878\n61140 91714\n82043 100000\n30796 46040\n49097 73536\n16569 24787\n20210 30219\n55861 83740\n733 1116\n85008 100000\n59686 89519\n79666 100000\n6901 10321\n57553 86308\n74562 100000\n6208 9290\n53672 80458\n29631 44270\n99443 100000\n80742 100000\n42489 63574\n71369 100000\n78320 100000\n77402 100000\n75839 100000\n275 416\n92094 100000\n13731 20562\n37695 56367\n44146 66066\n71196 100000\n10016 15024\n97995 100000\n9630 14436\n2342 3531\n21632 32342\n3911 5896\n53949 80866\n12785 19166\n76513 100000\n51361 76958\n43222 64673\n23513 35166\n55902 83801\n86636 100000\n21277 31805\n99685 100000\n89604 100000\n33329 49823\n24304 36341\n41699 62392\n4639 6975\n1549 2345\n73434 100000\n79673 100000\n7089 10603\n27992 41824\n13454 20160\n31414 46970\n42751 63968\n34296 51262\n5935 8883\n86729 100000\n26456 39545\n1590 2409\n55581 83322\n75750 100000\n78697 100000\n87809 100000\n65903 98854\n52936 79335\n92946 100000\n23812 35610\n276 417\n8035 12030\n2167 3263\n72437 100000\n49968 74854\n59633 89445\n65239 97857\n59597 89390\n51508 77179\n99521 100000\n30915 46217\n88939 100000\n3757 5649\n5709 8552\n5418 8126\n11951 17925\n97888 100000\n81595 100000\n88733 100000\n743 1133\n32585 48722\n79343 100000\n23079 34509\n82454 100000\n21078 31517\n13956 20902\n13195 19772\n8156 12212\n6136 9188\n2747 4143\n25976 38814\n49610 74329\n80234 100000\n23434 35043\n67714 100000\n92031 100000\n70399 100000\n61301 91968\n39345 58893\n88657 100000\n14358 21506\n14108 21130\n27510 41101\n17028 25469\n24707 36926\n74100 100000\n54385 81523\n39572 59227\n6506 9725\n90292 100000\n3020 4552\n91170 100000\n84550 100000\n81325 100000\n34626 51771\n66326 99503\n22876 34203\n26165 39103\n61257 91903\n48695 72927\n69745 100000\n97214 100000\n19469 29112\n95818 100000\n30836 46100\n19021 28440\n2471 3730\n82636 100000\n33744 50431\n43028 64375\n38302 57300\n50622 75842\n92024 100000\n91918 100000\n75759 100000\n62003 93017\n11687 17525\n34807 52039\n67996 100000\n80972 100000\n60369 90553\n45338 67856\n97243 100000\n28851 43112\n71723 100000\n34946 52244\n80561 100000\n85530 100000\n42873 64147\n59032 88523\n5556 8331\n3870 5826\n55436 83103\n75369 100000\n70886 100000\n65052 97567\n11022 16527\n96692 100000\n34823 52060\n20520 30697\n65982 98977\n70570 100000\n90790 100000\n30788 46029\n36634 54769\n12578 18859\n19173 28669\n72634 100000\n63918 95865\n50110 75070\n99353 100000\n68839 100000\n72080 100000\n10401 15607\n38816 58083\n53042 79493\n28918 43210\n54334 81447\n42358 63385\n63359 95044\n15157 22687\n89334 100000\n42265 63238\n10408 15616\n88768 100000\n94532 100000\n68296 100000\n94509 100000\n43368 64886\n86554 100000\n49912 74779\n80353 100000\n1637 2478\n73935 100000\n90481 100000\n73510 100000\n4182 6296\n54043 81015\n43485 65063\n24594 36760\n59791 89679\n69161 100000\n16443 24604\n99437 100000\n47684 71405\n29154 43558\n2407 3633\n24495 36610\n98241 100000\n34387 51397\n9872 14807\n58585 87870\n69698 100000\n61052 91577\n40059 59952\n26961 40291\n75812 100000\n58122 87174\n68857 100000\n80589 100000\n31751 47481\n14276 21389\n79643 100000\n18048 27012\n65058 97576\n77680 100000\n73206 100000\n59483 89214\n63997 95987\n44539 66656\n74582 100000\n2641 3980\n32582 48717\n88388 100000\n67671 100000\n55269 82863\n34456 51505\n4751 7144\n44814 67058\n86057 100000\n27441 41001\n6790 10155\n80290 100000\n43211 64656\n82068 100000\n37366 55873\n90949 100000\n68390 100000\n32421 48477\n74215 100000\n12645 18955\n32704 48895\n23493 35141\n97705 100000\n61699 92556\n75773 100000\n86410 100000\n69532 100000\n33829 50551\n67260 100000\n40808 61074\n82212 100000\n22207 33188\n70971 100000\n52960 79375\n81762 100000\n15600 23362\n36881 55140\n84891 100000\n25987 38830\n38633 57811\n73768 100000\n45988 68843\n49948 74828\n38109 57002\n64611 96909\n98620 100000\n75485 100000\n39231 58719\n7208 10787\n36159 54061\n612 930\n37973 56788\n31998 47846\n97863 100000\n97754 100000\n27430 40983\n59912 89861\n5706 8547\n30936 46248\n64687 97020\n64482 96703\n84404 100000\n94252 100000\n53051 79509\n61988 92996\n12198 18298\n99252 100000\n17685 26456\n96037 100000\n23366 34940\n89391 100000\n91166 100000\n33875 50621\n81659 100000\n24092 36031\n99266 100000\n8653 12960\n34149 51040\n1856 2792\n16732 25030\n61351 92047\n88684 100000\n25494 38092\n67558 100000\n66672 100000\n41283 61792\n68082 100000\n94208 100000\n35286 52747\n46469 69576\n97985 100000\n76139 100000\n12327 18489\n30096 44980\n93938 100000\n7367 11029\n40311 60323\n69933 100000\n24841 37119\n30560 45678\n16318 24429\n49841 74670\n2756 4156\n38057 56920\n19337 28911\n27640 41303\n45534 68150\n30811 46063\n73546 100000\n30867 46145\n76910 100000\n86697 100000\n68455 100000\n28221 42177\n96374 100000\n57114 85627\n16587 24813\n93099 100000\n85738 100000\n76518 100000\n9109 13668\n26101 39006\n10267 15409\n10254 15388\n59556 89330\n41402 61968\n17456 26115\n83877 100000\n23255 34775\n41282 61790\n79359 100000\n44822 67070\n80952 100000\n60397 90594\n57867 86792\n9107 13665\n33359 49866\n58175 87246\n54215 81270\n17324 25922\n32254 48234\n8868 13290\n53880 80763\n15390 23039\n50262 75301\n76483 100000\n78210 100000\n46635 69826\n26941 40259\n80932 100000\n84004 100000\n31458 47036\n2675 4032\n63530 95285\n46994 70358\n26021 38884\n81602 100000\n43384 64913\n27241 40700\n97811 100000\n91850 100000\n49613 74333\n1086 1659\n65548 98322\n87547 100000\n6994 10462\n92275 100000\n39032 58410\n95952 100000\n3661 5499\n43688 65375\n57812 86715\n2410 3638\n94555 100000\n77554 100000\n21067 31502\n22618 33815\n67995 100000\n38553 57684\n56257 84326\n94962 100000\n36833 55065\n11971 17954\n9572 14352\n36013 53834\n46955 70300\n26347 39385\n11127 16678\n26310 39331\n24715 36939\n11370 17048\n29980 44809\n65278 97914\n17764 26574\n34323 51304\n14864 22257\n20522 30699\n80188 100000\n20654 30886\n83328 100000\n75686 100000\n57948 86915\n61872 92820\n61086 91627\n87436 100000\n57360 86012\n69475 100000\n49041 73447\n84072 100000\n91617 100000\n6368 9534\n37819 56560\n56604 84858\n88443 100000\n43381 64908\n30034 44889\n94794 100000\n24944 37271\n61175 91772\n74217 100000\n47279 70791\n49310 73869\n90073 100000\n34557 51667\n6285 9406\n45530 68145\n20862 31188\n50944 76322\n10567 15859\n26129 39049\n62127 93214\n91292 100000\n47938 71793\n93066 100000\n74591 100000\n22913 34256\n24088 36025\n67211 100000\n79299 100000\n3836 5773\n62395 93610\n82420 100000\n13357 20019\n29285 43751\n92674 100000\n80528 100000\n676 1030\n99589 100000\n90947 100000\n65708 98561\n57549 86302\n27734 41436\n57738 86596\n80847 100000\n62821 94234\n24765 37009\n82896 100000\n4514 6785\n9647 14464\n59022 88510\n14632 21904\n85372 100000\n30137 45038\n8988 13480\n98148 100000\n2272 3427\n2999 4520\n99789 100000\n97733 100000\n7674 11488\n22921 34270\n66092 99146\n82633 100000\n45500 68101\n35163 52562\n76803 100000\n90077 100000\n29524 44102\n18375 27497\n38757 57995\n47749 71508\n77765 100000\n72491 100000\n96080 100000\n74368 100000\n14881 22281\n7163 10717\n68405 100000\n33624 50257\n40769 61017\n11712 17562\n98701 100000\n56872 85254\n89386 100000\n71055 100000\n6161 9222\n38118 57014\n48677 72898\n32006 47862\n26885 40173\n26895 40188\n41478 62073\n99933 100000\n45163 67587\n37074 55439\n67869 100000\n41084 61491\n59429 89132\n72513 100000\n74316 100000\n96606 100000\n85822 100000\n77529 100000\n84578 100000\n35319 52800\n11660 17485\n97924 100000\n91384 100000\n2964 4465\n68041 100000\n21014 31416\n18542 27739\n82470 100000\n9670 14502\n93189 100000\n8620 12906\n16293 24392\n93133 100000\n12425 18632\n60840 91262\n80986 100000\n81734 100000\n76057 100000\n64058 96079\n70102 100000\n80071 100000\n25654 38321\n48815 73103\n48923 73268\n60046 90071\n56569 84802\n72417 100000\n22091 33021\n86720 100000\n78002 100000\n60313 90473\n65507 98262\n1168 1786\n28745 42946\n42209 63151\n42073 62946\n25355 37881\n57118 85633\n67087 100000\n86367 100000\n54054 81031\n80951 100000\n53594 80334\n33789 50495\n9682 14521\n25159 37586\n33088 49475\n8202 12282\n62178 93293\n52334 78439\n91477 100000\n13533 20277\n40872 61170\n43521 65120\n38994 58352\n99989 100000\n63671 95503\n83576 100000\n76543 100000\n89347 100000\n50368 75463\n39094 58498\n54967 82411\n13564 20325\n11200 16793\n49654 74389\n3683 5536\n5039 7570\n97355 100000\n8158 12215\n61008 91506\n92249 100000\n10306 15466\n56201 84249\n93880 100000\n33913 50677\n19474 29117\n90795 100000\n76238 100000\n6934 10369\n71479 100000\n96559 100000\n79220 100000\n17066 25529\n57766 86639\n50838 76158\n38775 58019\n18575 27789\n25177 37612\n2984 4496\n88929 100000\n97442 100000\n74415 100000\n27851 41613\n6496 9709\n15672 23474\n91392 100000\n62839 94263\n21810 32610\n9010 13517\n71706 100000\n63438 95157\n68275 100000\n25908 38709\n9027 13540\n59595 89387\n79940 100000\n24792 37048\n59064 88572\n3799 5714\n65923 98887\n4665 7013\n61811 92724\n20806 31108\n93394 100000\n52181 78200\n80974 100000\n69065 100000\n56549 84776\n88727 100000\n78104 100000\n47447 71057\n28529 42617\n42942 64254\n59196 88772\n19485 29131\n84025 100000\n7729 11569\n25819 38575\n63284 94927\n77328 100000\n75055 100000\n16090 24095\n14140 21177\n92656 100000\n97595 100000\n12070 18110\n83295 100000\n28875 43148\n60382 90572\n74701 100000\n30039 44897\n84746 100000\n80267 100000\n75519 100000\n8680 13001\n23685 35416\n56227 84282\n60751 91129\n16466 24637\n2966 4469\n26612 39777\n24523 36650\n27205 40648\n87435 100000\n61751 92635\n61862 92804\n49665 74409\n56193 84240\n28378 42403\n20317 30382\n59010 88496\n20800 31099\n71411 100000\n31920 47731\n97950 100000\n85847 100000\n4070 6129\n44297 66293\n51010 76422\n54797 82153\n10799 16200\n1270 1931\n6523 9752\n52162 78173\n9346 14023\n73009 100000\n4592 6905\n96649 100000\n35426 52961\n63206 94807\n15925 23843\n17959 26880\n56052 84028\n91025 100000\n15811 23674\n25862 38642\n2066 3112\n18105 27096\n53770 80601\n9944 14915\n80517 100000\n25313 37818\n84228 100000\n67736 100000\n89666 100000\n22104 33038\n83957 100000\n1228 1869\n10184 15278\n36214 54141\n7577 11345\n76475 100000\n26806 40057\n30180 45104\n83183 100000\n33043 49401\n80311 100000\n46954 70298\n95050 100000\n48393 72465\n26937 40253\n11202 16795\n93200 100000\n83274 100000\n33205 49643\n83296 100000\n78299 100000\n89171 100000\n73100 100000\n3463 5217\n33062 49432\n83827 100000\n7679 11496\n23823 35628\n59081 88597\n29889 44674\n8878 13306\n90078 100000\n15760 23601\n19971 29858\n5123 7691\n63449 95174\n77437 100000\n80468 100000\n39288 58806\n49877 74729\n60482 90731\n95825 100000\n98550 100000\n29091 43466\n76246 100000\n52999 79429\n99985 100000\n79101 100000\n37809 56542\n91521 100000\n66521 99810\n99107 100000\n24524 36652\n80103 100000\n22897 34235\n67715 100000\n17788 26607\n11562 17333\n9681 14519\n79887 100000\n86735 100000\n27042 40411\n63389 95086\n98117 100000\n20198 30200\n65226 97836\n4071 6130\n62878 94320\n16242 24320\n26947 40267\n61651 92481\n41453 62038\n65605 98409\n91666 100000\n71232 100000\n18506 27690\n92703 100000\n95208 100000\n53357 79965\n65127 97681\n25907 38708\n30462 45537\n17830 26672\n38178 57106\n2305 3476\n37538 56126\n84620 100000\n44389 66432\n35026 52362\n51956 77867\n41012 61385\n48026 71922\n6434 9625\n56066 84048\n66260 99405\n67486 100000\n66058 99097\n47557 71222\n93324 100000\n34113 50986\n316 472\n49447 74081\n85254 100000\n55591 83338\n42224 63173\n88811 100000\n21350 31916\n2880 4340\n66966 100000\n27491 41073\n92169 100000\n68403 100000\n9988 14980\n73515 100000\n35493 53060\n14304 21433\n45272 67758\n93392 100000\n58366 87546\n33747 50434\n57635 86436\n3420 5150\n10105 15160\n99939 100000\n23521 35175\n13121 19663\n41563 62195\n8190 12263\n39425 59004\n21450 32067\n6261 9369\n83443 100000\n23511 35164\n61532 92311\n62899 94357\n92553 100000\n55488 83177\n15428 23100\n93603 100000\n71442 100000\n93366 100000\n40780 61034\n55405 83058\n47512 71151\n27624 41278\n15872 23766\n53409 80047\n62087 93150\n97859 100000\n93974 100000\n60106 90160\n29950 44767\n78825 100000\n51079 76528\n46919 70249\n40033 59912\n25185 37626\n5590 8382\n38396 57442\n92904 100000\n90432 100000\n26653 39832\n55091 82603\n8522 12755\n92100 100000\n650 993\n20468 30616\n52370 78494\n6658 9960\n75167 100000\n97652 100000\n43224 64676\n11910 17861\n65439 98155\n16521 24721\n65468 98201\n17102 25579\n4338 6520\n77273 100000\n34067 50916\n6766 10125\n25132 37546\n60337 90510\n17997 26939\n84843 100000\n89713 100000\n29758 44470\n52783 79113\n96789 100000\n93756 100000\n43086 64462\n63687 95526\n91007 100000\n17463 26126\n22602 33789\n24226 36230\n24133 36092\n62607 93917\n42562 63681\n7866 11775\n7854 11756\n71363 100000\n21236 31750\n42245 63205\n84226 100000\n13853 20748\n40598 60762\n31124 46535\n40154 60094\n24068 36000\n392 591\n358 536\n2178 3282\n91086 100000\n67621 100000\n20804 31105\n58052 87069\n34896 52168\n82492 100000\n41479 62074\n77365 100000\n3035 4571\n19233 28757\n36906 55178\n33485 50055\n15607 23374\n23799 35590\n99297 100000\n80392 100000\n81509 100000\n46368 69418\n65521 98279\n11120 16668\n58441 87659\n94619 100000\n82223 100000\n17316 25911\n60296 90447\n71632 100000\n35547 53137\n38942 58275\n81809 100000\n29972 44798\n56356 84485\n46812 70091\n70698 100000\n15484 23182\n3985 6006\n6930 10364\n38291 57280\n78328 100000\n16905 25287\n61211 91825\n6583 9841\n65021 97518\n8125 12166\n67445 100000\n96720 100000\n93731 100000\n52932 79329\n62433 93661\n7696 11522\n87136 100000\n95888 100000\n96557 100000\n3343 5028\n24067 35998\n239 363\n26156 39090\n9522 14279\n68488 100000\n33734 50419\n61274 91931\n37315 55795\n17371 25992\n21960 32823\n50285 75335\n75386 100000\n46978 70332\n59187 88758\n20311 30374\n41609 62264\n9247 13878\n94275 100000\n55366 83002\n14229 21315\n39626 59307\n36670 54819\n41324 61852\n63299 94950\n67581 100000\n46032 68910\n62966 94451\n36306 54280\n56795 85138\n1489 2255\n82731 100000\n92336 100000\n4449 6686\n96493 100000\n82012 100000\n69141 100000\n28120 42016\n80845 100000\n93860 100000\n53706 80508\n2499 3768\n54792 82145\n84078 100000\n49308 73865\n58915 88356\n62413 93632\n30378 45408\n83941 100000\n4217 6349\n76484 100000\n49176 73659\n78036 100000\n17519 26211\n95701 100000\n38814 58079\n14037 21023\n36033 53864\n92833 100000\n11594 17381\n86826 100000\n3953 5957\n20912 31258\n78037 100000\n90735 100000\n13786 20647\n21885 32713\n55980 83920\n97348 100000\n85483 100000\n29530 44112\n63301 94954\n80224 100000\n51842 77697\n5687 8520\n19602 29304\n21643 32356\n29022 43367\n96892 100000\n99355 100000\n14628 21899\n79631 100000\n80079 100000\n90392 100000\n9901 14849\n51806 77642\n98100 100000\n39816 59595\n53621 80376\n34895 52166\n13117 19657\n32685 48869\n75516 100000\n63645 95463\n4565 6865\n64859 97277\n10291 15447\n63362 95048\n88494 100000\n35410 52937\n24308 36347\n23466 35097\n21940 32795\n55107 82627\n47759 71524\n92949 100000\n77873 100000\n25490 38087\n83387 100000\n49802 74614\n84017 100000\n27803 41543\n2561 3858\n69245 100000\n52896 79275\n4555 6849\n98528 100000\n4239 6378\n90181 100000\n96438 100000\n65493 98241\n18153 27164\n76703 100000\n70438 100000\n53573 80300\n81824 100000\n78261 100000\n67839 100000\n4181 6294\n94429 100000\n92461 100000\n43501 65087\n14867 22260\n71972 100000\n88187 100000\n39675 59384\n62766 94149\n55433 83097\n93546 100000\n2978 4487\n24889 37192\n64416 96603\n63370 95060\n95602 100000\n72552 100000\n59568 89346\n45478 68070\n8637 12931\n35737 53425\n75396 100000\n76505 100000\n22272 33281\n28999 43332\n53582 80315\n95817 100000\n20360 30446\n28239 42205\n95129 100000\n83995 100000\n60642 90965\n95564 100000\n85049 100000\n28164 42088\n48616 72810\n6258 9365\n59193 88767\n95159 100000\n44160 66087\n40731 60957\n4484 6741\n91229 100000\n10820 16228\n32150 48076\n8442 12637\n94016 100000\n79890 100000\n2687 4050\n13689 20502\n24243 36254\n8536 12778\n17265 25835\n50658 75894\n15950 23881\n59743 89606\n44500 66599\n65355 98027\n53925 80832\n70947 100000\n45830 68601\n30695 45884\n19709 29466\n63604 95400\n82653 100000\n34746 51951\n52220 78260\n65958 98940\n23550 35216\n76515 100000\n82225 100000\n47074 70475\n5855 8763\n78175 100000\n13028 19526\n75588 100000\n145 218\n13382 20056\n14730 22054\n57733 86588\n97638 100000\n53695 80493\n71240 100000\n80545 100000\n89999 100000\n82996 100000\n18833 28171\n53258 79812\n52437 78591\n62315 93497\n37686 56355\n1535 2324\n40976 61327\n95298 100000\n90936 100000\n28954 43266\n68845 100000\n5810 8698\n52390 78524\n30266 45237\n18141 27146\n42101 62987\n92642 100000\n7464 11176\n84569 100000\n92756 100000\n85835 100000\n73119 100000\n99114 100000\n61293 91957\n2590 3902\n71415 100000\n59644 89460\n46758 70008\n28699 42884\n65422 98131\n68236 100000\n40689 60896\n65664 98497\n1070 1638\n23474 35110\n77300 100000\n66357 99551\n89016 100000\n19518 29175\n12392 18585\n77783 100000\n89111 100000\n27366 40888\n19210 28724\n26958 40285\n10749 16126\n22555 33720\n18872 28230\n66 100\n65385 98074\n97537 100000\n81882 100000\n39023 58397\n60683 91026\n69963 100000\n70608 100000\n35526 53108\n19473 29116\n97495 100000\n89042 100000\n20760 31040\n4464 6708\n9645 14461\n51128 76600\n37159 55566\n53447 80107\n73508 100000\n69798 100000\n19392 28997\n46647 69844\n65598 98397\n77578 100000\n60253 90385\n12243 18367\n95241 100000\n58163 87229\n48971 73340\n66334 99515\n14451 21648\n22577 33751\n31003 46352\n26455 39544\n32280 48272\n48135 72090\n78020 100000\n16945 25345\n35149 52540\n18340 27441\n36744 54929\n83055 100000\n56101 84099\n931 1422\n80182 100000\n35993 53806\n32945 49256\n62346 93543\n6543 9782\n35480 53039\n68983 100000\n46376 69428\n32377 48416\n37330 55818\n65742 98616\n17411 26051\n23234 34742\n19119 28588\n51896 77771\n45598 68248\n26009 38863\n71715 100000\n87659 100000\n18777 28089\n60613 90923\n70014 100000\n80577 100000\n48010 71902\n14242 21336\n39964 59810\n74869 100000\n11353 17020\n17398 26032\n58085 87120\n67133 100000\n52432 78583\n83561 100000\n53163 79674\n96506 100000\n81218 100000\n20189 30189\n31669 47368\n21495 32134\n10811 16215\n85331 100000\n98047 100000\n42929 64233\n55949 83874\n61692 92546\n71657 100000\n90485 100000\n14837 22213\n86704 100000\n84961 100000\n25954 38777\n18238 27290\n48750 73007\n71350 100000\n98670 100000\n40016 59886\n66253 99392\n16716 25005\n3086 4655\n97600 100000\n42377 63415\n7288 10910\n23161 34631\n84553 100000\n41737 62450\n45853 68636\n96441 100000\n153 231\n18351 27457\n67546 100000\n69927 100000\n52713 79012\n22430 33523\n27475 41046\n15268 22860\n68622 100000\n24753 36990\n31076 46469\n80291 100000\n37706 56385\n75424 100000\n57035 85505\n38248 57217\n42459 63531\n68048 100000\n72499 100000\n580 880\n50056 74989\n50757 76033\n19812 29615\n84068 100000\n87651 100000\n6709 10036\n57061 85548\n44799 67037\n53456 80121\n77812 100000\n97405 100000\n29926 44728\n92394 100000\n26569 39716\n49627 74352\n25409 37971\n9067 13604\n79734 100000\n67013 100000\n32850 49113\n18772 28081\n27483 41059\n73449 100000\n54472 81654\n25387 37935\n8994 13491\n52483 78663\n25747 38464\n32959 49276\n70391 100000\n68168 100000\n91744 100000\n35290 52754\n97310 100000\n614 934\n11837 17745\n31217 46672\n43864 65644\n60226 90341\n99385 100000\n77889 100000\n91669 100000\n92772 100000\n97432 100000\n22193 33169\n33673 50328\n40736 60964\n53296 79870\n8019 12004\n93817 100000\n49818 74637\n79240 100000\n33903 50664\n64864 97285\n1381 2095\n68016 100000\n73988 100000\n92395 100000\n63187 94779\n70928 100000\n11492 17232\n19636 29358\n40270 60260\n82534 100000\n24059 35986\n95168 100000\n13289 19912\n1207 1838\n19110 28575\n64912 97357\n1195 1821\n84367 100000\n56819 85172\n76749 100000\n6639 9933\n53779 80614\n98794 100000\n19910 29765\n70701 100000\n18642 27884\n66636 99985\n24848 37130\n12960 19428\n31506 47111\n4925 7403\n15412 23074\n39967 59815\n9182 13779\n59806 89703\n81754 100000\n64873 97297\n89153 100000\n93886 100000\n51182 76678\n58538 87803\n6145 9200\n1740 2621\n12346 18518\n63571 95349\n91510 100000\n41801 62541\n54475 81659\n90608 100000\n59918 89872\n55198 82759\n18903 28277\n74974 100000\n52664 78933\n56172 84209\n86733 100000\n48869 73185\n18867 28221\n94685 100000\n18321 27410\n68812 100000\n60351 90530\n14208 21286\n65537 98306\n20967 31344\n34577 51698\n21976 32847\n34640 51790\n95329 100000\n15922 23839\n15305 22917\n1891 2848\n5501 8246\n1373 2084\n985 1506\n29709 44397\n22391 33462\n26275 39277\n65416 98123\n7719 11555\n78142 100000\n62241 93388\n13280 19898\n82289 100000\n71746 100000\n54303 81398\n99958 100000\n17910 26799\n19338 28912\n92237 100000\n68889 100000\n68920 100000\n77465 100000\n17077 25547\n99760 100000\n79369 100000\n59214 88800\n76374 100000\n66576 99894\n50895 76247\n29834 44584\n16602 24837\n47646 71349\n94253 100000\n37789 56511\n97905 100000\n17510 26197\n11129 16680\n65768 98655\n73686 100000\n37956 56762\n61633 92453\n58845 88253\n78237 100000\n68368 100000\n97623 100000\n81144 100000\n843 1280\n49807 74621\n33676 50333\n45088 67473\n68088 100000\n43580 65211\n90918 100000\n50238 75266\n50039 74963\n96604 100000\n44742 66955\n68034 100000\n66572 99887\n3492 5260\n28660 42818\n46698 69920\n82009 100000\n20442 30576\n46805 70080\n80536 100000\n22837 34143\n94770 100000\n32242 48216\n3519 5298\n94107 100000\n96977 100000\n62026 93051\n85953 100000\n89742 100000\n93553 100000\n49659 74399\n34921 52206\n11852 17769\n40857 61148\n14802 22157\n22470 33586\n6327 9473\n69250 100000\n80748 100000\n41380 61937\n28926 43221\n87905 100000\n81970 100000\n29717 44411\n9235 13861\n12016 18022\n73638 100000\n1017 1555\n80457 100000\n94681 100000\n97334 100000\n8931 13393\n77281 100000\n97979 100000\n2075 3128\n46983 70339\n87093 100000\n26429 39506\n75986 100000\n84414 100000\n46231 69206\n53664 80446\n63123 94686\n58004 86999\n28862 43129\n59047 88544\n62268 93429\n77442 100000\n45644 68316\n53790 80627\n51589 77302\n5313 7973\n51730 77516\n85684 100000\n24866 37156\n95854 100000\n19586 29281\n55279 82878\n41294 61808\n39661 59363\n25433 38001\n38913 58227\n33662 50310\n48755 73015\n14408 21579\n18737 28029\n19183 28681\n6049 9055\n8708 13046\n45940 68771\n8613 12893\n3713 5585\n59654 89475\n62435 93663\n28830 43080\n95086 100000\n35466 53020\n95434 100000\n19220 28737\n41575 62213\n65596 98393\n27884 41664\n5168 7761\n51500 77165\n45133 67543\n89998 100000\n32197 48152\n4063 6119\n34216 51144\n46907 70234\n95918 100000\n9921 14883\n5423 8134\n45324 67837\n65190 97780\n35953 53744\n13726 20555\n62116 93197\n32587 48726\n34144 51033\n84937 100000\n80563 100000\n39531 59161\n22998 34380\n97898 100000\n32208 48170\n97755 100000\n66304 99474\n43215 64661\n54876 82271\n54520 81724\n91101 100000\n76699 100000\n64950 97412\n13589 20361\n27864 41633\n2051 3090\n68875 100000\n69521 100000\n54920 82339\n5519 8275\n82052 100000\n11250 16867\n26253 39242\n82116 100000\n52433 78584\n23399 34987\n65097 97632\n10415 15625\n35375 52881\n30791 46032\n866 1321\n90133 100000\n29101 43481\n39391 58953\n17326 25925\n68651 100000\n66976 100000\n27635 41294\n36419 54460\n50207 75219\n4571 6872\n40944 61281\n9348 14027\n39043 58426\n25981 38821\n99585 100000\n70587 100000\n22094 33024\n86696 100000\n73164 100000\n42969 64293\n36062 53913\n36584 54697\n16889 25264\n59418 89113\n61256 91902\n88818 100000\n52246 78305\n10860 16283\n45464 68048\n29823 44567\n17658 26420\n24760 37000\n40474 60574\n14621 21887\n47608 71295\n48373 72436\n61023 91531\n6704 10029\n16484 24661\n77319 100000\n99055 100000\n18868 28223\n34117 50991\n82835 100000\n22402 33481\n42740 63955\n33525 50108\n82103 100000\n88649 100000\n35421 52954\n25947 38766\n85568 100000\n21197 31693\n9083 13628\n40881 61184\n66808 100000\n13547 20301\n56332 84449\n57501 86229\n22584 33762\n63315 94974\n74967 100000\n38402 57450\n91381 100000\n29169 43579\n36051 53895\n92980 100000\n75737 100000\n65572 98355\n89637 100000\n46878 70188\n75306 100000\n24427 36512\n75940 100000\n78424 100000\n33843 50574\n31772 47509\n67249 100000\n67358 100000\n51771 77582\n63338 95011\n29815 44554\n5895 8822\n6397 9574\n96571 100000\n37930 56726\n41794 62532\n57993 86983\n55547 83267\n92953 100000\n35997 53811\n19503 29155\n95431 100000\n77469 100000\n78951 100000\n15574 23321\n62665 93996\n95663 100000\n37792 56515\n25269 37755\n91640 100000\n39210 58684\n20502 30670\n27853 41617\n21003 31399\n11218 16818\n68757 100000\n33778 50477\n98642 100000\n36072 53931\n84487 100000\n28234 42198\n82797 100000\n87853 100000\n91879 100000\n28700 42885\n51994 77923\n94340 100000\n38703 57914\n65277 97912\n418 628\n11263 16886\n56680 84966\n98326 100000\n42069 62939\n79485 100000\n73501 100000\n40560 60704\n23354 34922\n58491 87733\n57595 86374\n61707 92569\n12768 19142\n26818 40074\n41247 61738\n2998 4518\n53637 80403\n66989 100000\n94893 100000\n42458 63530\n95054 100000\n55171 82719\n95106 100000\n78454 100000\n125 189\n61079 91618\n41965 62781\n22659 33880\n48201 72183\n68851 100000\n80149 100000\n72207 100000\n64322 96470\n85384 100000\n27388 40920\n10388 15586\n97013 100000\n28445 42499\n45981 68833\n60233 90353\n20388 30490\n3053 4601\n38196 57135\n8547 12794\n22323 33358\n38330 57338\n1752 2639\n42100 62985\n73334 100000\n2067 3114\n35730 53415\n92428 100000\n33221 49667\n28129 42030\n22147 33101\n69796 100000\n90146 100000\n70777 100000\n78099 100000\n48142 72099\n72588 100000\n94774 100000\n3865 5820\n45162 67585\n89327 100000\n10140 15209\n49566 74262\n25317 37823\n67270 100000\n47202 70674\n6109 9148\n35102 52472\n26622 39789\n15890 23793\n1998 3006\n27517 41113\n58526 87787\n30602 45738\n33215 49659\n25312 37816\n9427 14141\n40092 60000\n17242 25798\n2836 4275\n64889 97322\n58078 87110\n94489 100000\n24028 35937\n19208 28722\n43305 64795\n71842 100000\n26017 38877\n29686 44360\n18535 27730\n79810 100000\n95218 100000\n7231 10824\n64724 97078\n42473 63549\n76093 100000\n47333 70874\n22261 33266\n30344 45354\n76841 100000\n17623 26366\n44343 66365\n17320 25917\n56115 84121\n51901 77779\n78550 100000\n53760 80588\n96042 100000\n77731 100000\n54958 82397\n62255 93407\n85133 100000\n49415 74031\n97535 100000\n45944 68778\n3253 4903\n78556 100000\n88567 100000\n32306 48311\n70581 100000\n74993 100000\n63661 95488\n71260 100000\n62425 93647\n54050 81025\n69911 100000\n64476 96693\n46969 70321\n24723 36950\n12636 18943\n87263 100000\n31868 47651\n65090 97622\n9910 14864\n22916 34260\n14136 21171\n26564 39708\n83169 100000\n15507 23220\n16094 24100\n72925 100000\n98432 100000\n67885 100000\n55623 83387\n26335 39370\n89105 100000\n65154 97723\n27806 41546\n17207 25747\n40529 60660\n99203 100000\n55682 83476\n63966 95944\n70394 100000\n80473 100000\n90889 100000\n30021 44871\n7501 11236\n33356 49862\n74840 100000\n47338 70882\n27586 41217\n11771 17649\n29228 43667\n85318 100000\n12795 19179\n20854 31176\n38264 57242\n7565 11329\n38573 57717\n98107 100000\n54209 81260\n90462 100000\n51640 77378\n35760 53459\n41113 61535\n17661 26425\n60508 90764\n40025 59899\n30019 44869\n5373 8060\n79760 100000\n74182 100000\n18921 28303\n69351 100000\n78385 100000\n42089 62969\n86049 100000\n53118 79610\n25178 37614\n36360 54368\n3804 5723\n64776 97150\n19255 28792\n44067 65946\n50054 74986\n37549 56140\n56409 84568\n32666 48843\n27193 40631\n31113 46522\n22269 33277\n45203 67649\n97958 100000\n90998 100000\n95175 100000\n3517 5296\n27871 41644\n16908 25291\n85913 100000\n68831 100000\n68815 100000\n50600 75812\n91540 100000\n42370 63404\n35746 53439\n29342 43829\n86609 100000\n32079 47971\n7465 11178\n92617 100000\n96753 100000\n27572 41194\n49485 74136\n94335 100000\n21330 31887\n31197 46640\n27081 40472\n83746 100000\n48806 73090\n69019 100000\n14481 21689\n16804 25133\n38550 57680\n5021 7544\n15419 23087\n99404 100000\n93163 100000\n39657 59356\n85942 100000\n8754 13118\n19963 29844\n11455 17178\n80437 100000\n4374 6573\n90802 100000\n42438 63500\n63602 95396\n29741 44446\n49656 74393\n45672 68359\n35651 53297\n42119 63013\n46359 69400\n56541 84764\n99977 100000\n41582 62224\n58058 87078\n81795 100000\n40203 60169\n19523 29182\n23394 34980\n46397 69461\n73374 100000\n65675 98513\n57177 85732\n88262 100000\n44554 66677\n14362 21512\n52290 78378\n97071 100000\n72753 100000\n48303 72337\n86937 100000\n77633 100000\n25548 38168\n35423 52957\n54098 81095\n70823 100000\n89445 100000\n52663 78932\n28387 42415\n30515 45612\n58048 87063\n7282 10901\n21794 32583\n50269 75311\n59784 89667\n73222 100000\n70610 100000\n81366 100000\n37467 56022\n17715 26499\n59255 88859\n54488 81680\n82739 100000\n50737 76005\n83869 100000\n89776 100000\n82935 100000\n8542 12787\n84688 100000\n26193 39147\n36838 55073\n37904 56691\n53241 79787\n33814 50531\n86906 100000\n95135 100000\n91239 100000\n70068 100000\n61377 92083\n24708 36928\n80364 100000\n59402 89088\n22210 33192\n45591 68238\n65621 98434\n99215 100000\n32218 48182\n7535 11287\n30536 45643\n53967 80893\n69785 100000\n98864 100000\n95024 100000\n69968 100000\n16670 24934\n72414 100000\n9140 13713\n76943 100000\n61172 91767\n38774 58018\n12690 19024\n42116 63009\n93051 100000\n54108 81113\n15962 23900\n81056 100000\n44152 66075\n51874 77740\n9256 13890\n82504 100000\n53728 80540\n26289 39298\n47847 71656\n2018 3036\n98800 100000\n13198 19777\n90387 100000\n75033 100000\n46952 70296\n48851 73154\n39496 59111\n76945 100000\n33821 50541\n87033 100000\n83981 100000\n28027 41879\n84071 100000\n85725 100000\n29283 43748\n23165 34636\n75415 100000\n8630 12920\n79346 100000\n54044 81016\n37910 56701\n99445 100000\n9020 13531\n49727 74503\n31790 47535\n38216 57168\n18212 27251\n89158 100000\n79433 100000\n1057 1616\n5231 7856\n46115 69030\n94504 100000\n55993 83937\n81545 100000\n35782 53491\n99617 100000\n47707 71443\n80405 100000\n49282 73826\n56578 84815\n5011 7531\n62175 93287\n76764 100000\n123 187\n29127 43517\n63583 95367\n11356 17023\n45919 68739\n38190 57126\n3408 5132\n8480 12693\n65726 98592\n26163 39100\n47082 70489\n83038 100000\n2759 4160\n27771 41491\n86536 100000\n80116 100000\n10724 16089\n190 288\n46755 70004\n60974 91455\n66915 100000\n4472 6722\n58616 87916\n60263 90398\n19231 28755\n65311 97961\n42253 63219\n60364 90548\n52472 78644\n94243 100000\n72320 100000\n10644 15970\n16340 24459\n80505 100000\n61807 92716\n78615 100000\n6014 9006\n49969 74856\n59976 89963\n33758 50449\n17677 26446\n2898 4369\n65983 98978\n39330 58872\n79082 100000\n23669 35390\n88781 100000\n91528 100000\n64372 96546\n29366 43864\n673 1027\n33495 50067\n65469 98203\n41761 62482\n42384 63424\n87871 100000\n178 268\n26823 40081\n41822 62570\n3904 5883\n3090 4661\n64562 96832\n3677 5527\n66950 100000\n55537 83251\n95121 100000\n75195 100000\n91124 100000\n14076 21077\n47347 70898\n83729 100000\n79580 100000\n14068 21067\n23901 35744\n55573 83309\n73646 100000\n8094 12119\n90510 100000\n43923 65740\n7818 11701\n32230 48199\n31615 47277\n40108 60024\n1571 2379\n52059 78020\n69147 100000\n39478 59084\n17213 25759\n23960 35834\n7581 11352\n66873 100000\n25980 38819\n243 369\n82617 100000\n4545 6836\n10236 15360\n78641 100000\n4629 6961\n55094 82607\n73628 100000\n50316 75384\n75445 100000\n82265 100000\n60426 90641\n5933 8879\n31005 46355\n1690 2553\n97524 100000\n36388 54413\n24627 36812\n85901 100000\n8495 12718\n43292 64776\n63885 95816\n17915 26808\n1460 2210\n89194 100000\n271 410\n59547 89314\n87197 100000\n3036 4572\n52801 79141\n88027 100000\n82867 100000\n6646 9942\n98494 100000\n33338 49837\n30413 45459\n60423 90635\n75090 100000\n94368 100000\n77004 100000\n78084 100000\n45821 68585\n75299 100000\n29274 43737\n56998 85448\n11750 17616\n33131 49538\n60430 90648\n99023 100000\n9545 14312\n47446 71055\n14476 21683\n68715 100000\n74014 100000\n63065 94598\n36123 54009\n26784 40020\n71337 100000\n52017 77956\n67836 100000\n35504 53076\n69673 100000\n99569 100000\n13574 20339\n88738 100000\n15422 23091\n47001 70371\n51322 76898\n67774 100000\n14543 21783\n1418 2150\n13191 19766\n7151 10697\n76399 100000\n64823 97222\n87909 100000\n33449 49999\n63086 94629\n40213 60183\n10227 15347\n5411 8118\n74650 100000\n57238 85827\n7159 10710\n76570 100000\n72321 100000\n47011 70383\n77513 100000\n33504 50078\n88091 100000\n39301 58824\n56110 84112\n59482 89212\n3122 4709\n18263 27327\n69427 100000\n55086 82594\n50924 76293\n24051 35973\n9736 14605\n31914 47722\n86909 100000\n83622 100000\n49356 73941\n44899 67185\n89073 100000\n17253 25815\n8875 13301\n50223 75244\n35921 53699\n20779 31068\n78392 100000\n30758 45985\n63495 95236\n23358 34929\n53948 80865\n40921 61242\n85616 100000\n93890 100000\n32655 48825\n7488 11216\n17097 25573\n47930 71783\n75208 100000\n65688 98533\n36487 54556\n61380 92087\n94403 100000\n35488 53052\n96863 100000\n27919 41718\n62922 94389\n79626 100000\n50247 75277\n69233 100000\n66786 100000\n39890 59706\n43774 65505\n69910 100000\n31934 47750\n29300 43770\n74194 100000\n21072 31509\n24430 36517\n37302 55776\n40547 60685\n23655 35370\n27215 40660\n24208 36204\n76673 100000\n31923 47735\n62024 93049\n21700 32444\n58160 87225\n20711 30970\n12508 18751\n17816 26648\n95871 100000\n77028 100000\n93315 100000\n53709 80513\n48658 72869\n59234 88831\n25691 38379\n80175 100000\n33891 50644\n45070 67446\n96161 100000\n69609 100000\n585 889\n25639 38296\n67064 100000\n47612 71299\n81057 100000\n55336 82959\n13715 20540\n42389 63433\n38564 57703\n35489 53054\n46341 69373\n39562 59213\n21118 31573\n51895 77770\n61218 91836\n76726 100000\n81002 100000\n13543 20294\n7801 11678\n10009 15011\n52806 79147\n20156 30141\n54371 81504\n7836 11729\n33657 50302\n33497 50070\n31572 47208\n82459 100000\n28165 42090\n91768 100000\n39754 59500\n61026 91535\n62102 93176\n51263 76805\n11948 17921\n83278 100000\n30980 46317\n64519 96764\n99009 100000\n10866 16293\n21002 31397\n37711 56393\n55896 83791\n65683 98525\n88988 100000\n10990 16480\n44666 66845\n71858 100000\n4362 6558\n47627 71319\n87098 100000\n69425 100000\n30066 44936\n92309 100000\n55748 83578\n38898 58203\n96302 100000\n38602 57760\n3046 4590\n25673 38352\n70619 100000\n58229 87333\n42278 63260\n30175 45096\n23585 35267\n28728 42920\n95908 100000\n24629 36814\n64774 97148\n618 939\n51579 77285\n21837 32650\n75681 100000\n26764 39995\n48530 72674\n47071 70470\n62434 93662\n51537 77221\n11317 16968\n70930 100000\n18318 27407\n34006 50823\n28758 42965\n34459 51510\n20735 31003\n69845 100000\n14388 21547\n12684 19015\n62647 93973\n35507 53080\n61118 91675\n29500 44063\n55193 82751\n91439 100000\n32381 48421\n2700 4070\n64594 96883\n74906 100000\n20364 30453\n41706 62403\n65641 98466\n31897 47696\n75782 100000\n33180 49608\n79872 100000\n6243 9341\n3424 5156\n11403 17097\n82392 100000\n12183 18273\n2346 3537\n33224 49671\n6887 10301\n33464 50025\n14017 20994\n73781 100000\n96349 100000\n8506 12733\n71393 100000\n3767 5662\n96387 100000\n60744 91121\n72589 100000\n85349 100000\n73982 100000\n28139 42045\n25994 38840\n5448 8168\n73763 100000\n62760 94141\n55626 83390\n67045 100000\n95681 100000\n60615 90926\n39141 58571\n10372 15562\n23335 34895\n9906 14857\n70449 100000\n43970 65803\n14944 22374\n75399 100000\n5432 8147\n80518 100000\n75488 100000\n57946 86912\n21494 32132\n14264 21370\n47020 70396\n77916 100000\n87695 100000\n92471 100000\n47820 71615\n20748 31020\n77729 100000\n14897 22307\n2901 4373\n7611 11393\n26603 39764\n78183 100000\n22136 33085\n16415 24567\n16412 24562\n97487 100000\n73201 100000\n31563 47196\n2777 4190\n32239 48212\n51367 76968\n51914 77799\n32634 48794\n34091 50954\n42056 62920\n27914 41710\n48921 73264\n86747 100000\n70380 100000\n22037 32936\n74439 100000\n32951 49265\n70385 100000\n78813 100000\n88575 100000\n75592 100000\n34498 51574\n85135 100000\n99142 100000\n17150 25655\n3312 4986\n45817 68579\n91273 100000\n38603 57762\n23407 34998\n47582 71260\n6845 10240\n74373 100000\n43913 65722\n5934 8881\n57909 86857\n52286 78371\n32488 48573\n551 835\n15810 23673\n58252 87366\n1506 2284\n49982 74874\n49090 73525\n52139 78146\n34015 50835\n31896 47695\n72849 100000\n67636 100000\n28769 42982\n39397 58960\n84768 100000\n52746 79058\n308 464\n14963 22402\n99384 100000\n47197 70665\n33025 49375\n54159 81189\n51168 76659\n99701 100000\n88064 100000\n30506 45601\n93312 100000\n46999 70368\n36059 53907\n28615 42747\n2273 3428\n87822 100000\n88779 100000\n62454 93690\n65702 98555\n3331 5012\n97165 100000\n63152 94726\n80410 100000\n54066 81048\n23842 35651\n45524 68138\n53291 79860\n69628 100000\n19430 29057\n54816 82182\n7827 11715\n89607 100000\n72261 100000\n12364 18543\n8999 13499\n43272 64745\n86304 100000\n87616 100000\n86069 100000\n45650 68325\n75575 100000\n11603 17395\n77117 100000\n39112 58527\n46030 68907\n77039 100000\n83566 100000\n90486 100000\n25865 38648\n90499 100000\n59004 88487\n96647 100000\n55084 82591\n83217 100000\n86100 100000\n90928 100000\n89267 100000\n39201 58667\n43478 65053\n35951 53741\n37036 55377\n2021 3041\n43667 65345\n30576 45700\n71875 100000\n41363 61912\n31435 47003\n47977 71854\n18821 28153\n15140 22661\n72938 100000\n89584 100000\n73677 100000\n22186 33157\n89065 100000\n14053 21045\n93912 100000\n46807 70083\n97611 100000\n86829 100000\n29345 43834\n97984 100000\n60322 90488\n38996 58355\n16290 24387\n22274 33284\n73213 100000\n55404 83057\n26615 39782\n33581 50196\n71114 100000\n60323 90489\n19167 28660\n19476 29119\n74755 100000\n55977 83915\n87109 100000\n22404 33483\n22192 33168\n98471 100000\n19795 29587\n12215 18324\n60451 90681\n95606 100000\n79773 100000\n60449 90679\n47665 71376\n87469 100000\n79364 100000\n9533 14293\n10979 16467\n64811 97205\n55764 83602\n6173 9238\n44940 67254\n74954 100000\n57632 86431\n54401 81548\n21673 32401\n30305 45298\n7334 10978\n54703 82009\n3367 5065\n3853 5801\n1759 2649\n9766 14655\n66665 100000\n92096 100000\n15409 23070\n75443 100000\n66137 99220\n15930 23852\n84693 100000\n89075 100000\n92726 100000\n69481 100000\n71757 100000\n38689 57892\n46292 69298\n7079 10588\n8103 12132\n81379 100000\n38751 57988\n70151 100000\n18646 27888\n22515 33653\n25563 38188\n59746 89610\n63435 95153\n43989 65833\n62240 93386\n30187 45117\n16874 25241\n48123 72069\n84786 100000\n52278 78358\n4370 6569\n99283 100000\n44039 65906\n80922 100000\n60361 90545\n56229 84284\n1397 2119\n33112 49507\n60102 90153\n5552 8325\n51102 76562\n84808 100000\n86693 100000\n93165 100000\n86604 100000\n34334 51320\n82933 100000\n54137 81157\n85155 100000\n61584 92384\n16992 25416\n16231 24302\n74431 100000\n62662 93992\n41838 62593\n93953 100000\n68704 100000\n79423 100000\n8837 13243\n10414 15623\n87888 100000\n79495 100000\n45348 67870\n65985 98981\n87876 100000\n29125 43513\n2555 3851\n40756 60996\n58758 88127\n37278 55743\n72297 100000\n5053 7588\n87973 100000\n84669 100000\n19441 29073\n15448 23129\n81187 100000\n83397 100000\n97545 100000\n49246 73774\n50771 76053\n99990 100000\n65613 98420\n33275 49744\n58270 87394\n41497 62099\n84970 100000\n31921 47732\n59189 88762\n94314 100000\n7917 11854\n83044 100000\n46254 69245\n84652 100000\n87872 100000\n70426 100000\n85003 100000\n80555 100000\n24403 36478\n52611 78857\n83175 100000\n37238 55684\n61881 92834\n76537 100000\n46678 69892\n91088 100000\n7523 11271\n13078 19599\n33368 49877\n872 1331\n53535 80243\n77246 100000\n76582 100000\n12973 19448\n61019 91523\n64402 96585\n78074 100000\n20003 29906\n13849 20742\n63639 95452\n66274 99430\n59781 89663\n75143 100000\n64150 96215\n77541 100000\n8521 12753\n51538 77223\n63502 95245\n2859 4310\n53703 80504\n12030 18047\n23012 34404\n14635 21907\n80121 100000\n67312 100000\n33713 50386\n32735 48940\n38990 58346\n67296 100000\n35696 53367\n26928 40241\n3684 5538\n58631 87937\n37260 55716\n61203 91815\n88838 100000\n22254 33254\n4282 6437\n3259 4913\n59527 89281\n8559 12811\n91954 100000\n9240 13868\n37599 56217\n86464 100000\n54122 81133\n4848 7293\n8924 13380\n81326 100000\n31618 47282\n57014 85472\n60111 90168\n44495 66590\n66432 99670\n37898 56681\n36856 55101\n93748 100000\n36936 55220\n86118 100000\n26041 38916\n79657 100000\n53262 79817\n8885 13317\n58482 87718\n23768 35538\n94278 100000\n91026 100000\n7046 10538\n15246 22824\n19896 29747\n2970 4475\n4056 6111\n85533 100000\n254 384\n425 641\n77693 100000\n76010 100000\n47830 71629\n23537 35197\n64644 96958\n46746 69988\n21170 31652\n1266 1926\n97873 100000\n61685 92534\n37793 56517\n31652 47338\n35879 53633\n12055 18086\n19752 29530\n9771 14662\n15017 22480\n18246 27302\n56483 84675\n36150 54047\n21169 31651\n38405 57454\n36096 53969\n84373 100000\n50933 76307\n51460 77105\n67141 100000\n89618 100000\n99001 100000\n29457 44000\n2536 3824\n9466 14202\n98963 100000\n20952 31318\n26720 39932\n77862 100000\n18531 27725\n17275 25847\n11571 17347\n38017 56856\n16591 24821\n41035 61420\n77386 100000\n62658 93986\n70627 100000\n93127 100000\n90577 100000\n81234 100000\n48476 72588\n16885 25260\n80582 100000\n56009 83961\n91272 100000\n17634 26383\n77347 100000\n13116 19656\n79560 100000\n48081 72002\n49269 73812\n53680 80470\n46545 69690\n71314 100000\n89619 100000\n10883 16319\n51558 77254\n97510 100000\n49044 73452\n19610 29318\n1199 1826\n30629 45783\n1793 2698\n47591 71272\n68878 100000\n81697 100000\n82049 100000\n85260 100000\n62891 94344\n78689 100000\n32228 48197\n63556 95327\n24637 36824\n59050 88548\n80671 100000\n69278 100000\n23966 35843\n56207 84257\n70660 100000\n704 1069\n4668 7018\n86442 100000\n15862 23750\n90135 100000\n71027 100000\n10112 15169\n825 1251\n51721 77502\n37451 55999\n96917 100000\n1117 1707\n49861 74703\n15847 23725\n57872 86798\n6271 9386\n95318 100000\n87405 100000\n46250 69237\n52054 78012\n78357 100000\n57458 86166\n91614 100000\n52045 77997\n45218 67671\n86876 100000\n96488 100000\n28863 43130\n9688 14530\n78760 100000\n12235 18354\n31849 47620\n89676 100000\n6210 9293\n82351 100000\n67699 100000\n7926 11867\n44133 66048\n85414 100000\n4442 6674\n21953 32813\n95580 100000\n80761 100000\n73448 100000\n93645 100000\n50916 76280\n99524 100000\n47456 71067\n23295 34833\n45075 67452\n37274 55737\n67485 100000\n87288 100000\n10648 15976\n94891 100000\n93130 100000\n57190 85753\n41939 62743\n3142 4739\n20726 30990\n53400 80033\n61718 92583\n84102 100000\n24730 36959\n24984 37324\n7537 11290\n45722 68437\n90598 100000\n27848 41609\n22196 33173\n97153 100000\n79207 100000\n73641 100000\n74413 100000\n7643 11439\n76648 100000\n18785 28101\n26640 39816\n47884 71712\n77393 100000\n73171 100000\n40163 60108\n24182 36162\n70257 100000\n9270 13909\n68529 100000\n69544 100000\n57602 86384\n60790 91187\n27744 41453\n6598 9867\n84788 100000\n56717 85021\n84942 100000\n77766 100000\n3404 5125\n32527 48635\n91288 100000\n79247 100000\n6159 9219\n79700 100000\n33718 50393\n27431 40985\n4694 7060\n24649 36841\n51603 77323\n55513 83215\n96093 100000\n7307 10937\n26664 39847\n73116 100000\n46151 69084\n10668 16004\n89582 100000\n84408 100000\n11981 17970\n42818 64064\n61441 92171\n62117 93198\n14272 21382\n31355 46880\n89549 100000\n613 932\n83514 100000\n63632 95444\n45146 67562\n9638 14450\n34850 52099\n68340 100000\n29344 43833\n10343 15520\n69498 100000\n78264 100000\n70485 100000\n11185 16766\n67388 100000\n40537 60670\n13817 20695\n26103 39008\n58418 87628\n75571 100000\n19407 29022\n27918 41716\n61362 92061\n58414 87624\n61595 92398\n1950 2934\n30935 46246\n56263 84334\n48667 72884\n63379 95071\n52317 78415\n2196 3312\n15894 23798\n43116 64511\n7065 10565\n15879 23775\n25696 38386\n61 91\n51349 76938\n36719 54890\n84141 100000\n25846 38617\n32419 48474\n19176 28673\n68451 100000\n37291 55761\n25593 38232\n33542 50135\n89664 100000\n74065 100000\n43022 64366\n14154 21200\n12375 18559\n53189 79711\n74887 100000\n18481 27653\n81301 100000\n4777 7187\n89460 100000\n61132 91699\n19597 29297\n9740 14613\n80440 100000\n40614 60786\n95650 100000\n84716 100000\n65437 98152\n92746 100000\n97640 100000\n16433 24592\n63015 94526\n22509 33644\n53868 80742\n78323 100000\n43530 65131\n80247 100000\n86530 100000\n90979 100000\n31564 47197\n42482 63563\n43476 65050\n94675 100000\n37534 56120\n98168 100000\n68065 100000\n32388 48431\n88364 100000\n49306 73861\n12955 19419\n73278 100000\n61608 92417\n23722 35471\n87814 100000\n62641 93965\n31363 46893\n63178 94766\n54192 81239\n47955 71818\n36520 54607\n61989 92998\n54062 81043\n94520 100000\n63042 94563\n17749 26550\n96989 100000\n36326 54312\n37801 56529\n21233 31745\n49789 74595\n1670 2527\n81626 100000\n78405 100000\n57356 86006\n27531 41133\n39039 58419\n29390 43901\n56619 84878\n19368 28954\n69989 100000\n97337 100000\n95291 100000\n63588 95375\n53889 80777\n29871 44642\n4238 6376\n28480 42543\n68187 100000\n51006 76416\n61714 92579\n71623 100000\n8032 12025\n43891 65688\n39938 59774\n6471 9674\n80857 100000\n98930 100000\n14622 21889\n81597 100000\n54667 81955\n17280 25856\n76021 100000\n15634 23415\n79060 100000\n27289 40773\n62249 93398\n73780 100000\n98205 100000\n81620 100000\n78669 100000\n41649 62324\n72786 100000\n58178 87250\n68171 100000\n90743 100000\n23809 35605\n41333 61870\n89609 100000\n24776 37026\n59890 89827\n85713 100000\n21231 31742\n47876 71699\n96504 100000\n62287 93454\n75751 100000\n74273 100000\n43924 65742\n52492 78676\n63779 95661\n33210 49651\n71996 100000\n64662 96983\n97189 100000\n16070 24066\n60352 90531\n16166 24207\n70721 100000\n57221 85801\n44592 66739\n5085 7638\n24806 37069\n18335 27433\n98985 100000\n49273 73816\n52670 78943\n79941 100000\n70343 100000\n60082 90122\n53204 79733\n3703 5568\n25624 38277\n83772 100000\n51982 77904\n17368 25987\n75012 100000\n50453 75591\n65470 98205\n27776 41499\n31006 46357\n42851 64112\n93563 100000\n3878 5841\n80917 100000\n71258 100000\n90786 100000\n74023 100000\n96638 100000\n25335 37849\n49187 73677\n49429 74053\n97377 100000\n60747 91125\n23971 35851\n18422 27567\n12142 18215\n87749 100000\n24448 36545\n28249 42219\n96265 100000\n36015 53837\n96372 100000\n58765 88140\n72943 100000\n69908 100000\n75536 100000\n41784 62516\n65143 97705\n54319 81423\n34354 51346\n41887 62668\n68492 100000\n40514 60636\n69384 100000\n2235 3369\n66206 99327\n33684 50345\n13493 20216\n65430 98142\n51180 76676\n19868 29702\n32670 48848\n27389 40921\n37832 56579\n88348 100000\n87415 100000\n14533 21769\n46667 69876\n28341 42355\n75511 100000\n99069 100000\n67946 100000\n88359 100000\n66372 99572\n19242 28772\n20568 30763\n95049 100000\n23719 35467\n97041 100000\n45739 68461\n1378 2091\n56609 84865\n43596 65240\n63916 95862\n25227 37686\n9366 14051\n2332 3520\n44214 66166\n20630 30852\n48632 72831\n47614 71301\n25670 38347\n78905 100000\n18953 28349\n31933 47749\n65723 98588\n23987 35876\n27951 41765\n11240 16852\n39887 59702\n28956 43270\n98937 100000\n53134 79633\n34551 51659\n81584 100000\n24395 36467\n69920 100000\n8319 12453\n10739 16111\n16082 24085\n25794 38534\n20026 29938\n1927 2899\n81961 100000\n58736 88094\n85879 100000\n230 348\n65002 97489\n1263 1921\n88 136\n79396 100000\n50051 74981\n9789 14686\n59099 88622\n37674 56335\n26073 38964\n42788 64021\n27523 41122\n91653 100000\n30838 46104\n31842 47610\n77245 100000\n89655 100000\n39071 58468\n40102 60016\n15721 23545\n55556 83282\n66653 100000\n22895 34233\n93078 100000\n81407 100000\n76112 100000\n16539 24746\n21321 31870\n67474 100000\n9620 14420\n31537 47159\n63024 94539\n55593 83341\n47810 71601\n37821 56563\n73632 100000\n54343 81460\n77666 100000\n98242 100000\n543 824\n65642 98468\n76679 100000\n98033 100000\n6191 9265\n79374 100000\n99206 100000\n91184 100000\n13188 19762\n18617 27848\n2509 3783\n15500 23208\n66181 99287\n2493 3760\n76635 100000\n85412 100000\n14444 21635\n46474 69583\n42128 63027\n37175 55588\n56901 85299\n90226 100000\n85325 100000\n14415 21591\n20361 30447\n45832 68605\n87206 100000\n21031 31445\n83416 100000\n7552 11311\n7647 11445\n6787 10152\n39111 58525\n68138 100000\n47237 70724\n54142 81164\n78318 100000\n50047 74975\n24742 36976\n64723 97076\n5953 8909\n33005 49344\n80532 100000\n5347 8024\n92257 100000\n58289 87426\n42042 62899\n28443 42496\n69810 100000\n44631 66798\n7776 11640\n9982 14971\n62038 93071\n92962 100000\n21201 31699\n72032 100000\n59788 89674\n64954 97419\n77326 100000\n97463 100000\n28742 42942\n2579 3887\n29412 43932\n74946 100000\n78371 100000\n23997 35891\n76332 100000\n77429 100000\n5022 7545\n51755 77555\n16629 24877\n66739 100000\n14174 21232\n79275 100000\n78546 100000\n39549 59192\n64673 96999\n42513 63606\n1906 2870\n74510 100000\n37797 56523\n47204 70677\n11626 17430\n57726 86577\n74306 100000\n75824 100000\n16410 24560\n24385 36453\n84081 100000\n64288 96418\n11242 16855\n98983 100000\n77572 100000\n98849 100000\n1764 2655\n3073 4632\n81337 100000\n19875 29713\n89821 100000\n15985 23935\n21977 32849\n17713 26496\n77320 100000\n65813 98723\n35239 52675\n37272 55734\n11147 16707\n54206 81257\n38555 57687\n97014 100000\n73308 100000\n85343 100000\n1503 2278\n48490 72611\n52142 78150\n15349 22979\n27084 40477\n52273 78348\n37403 55926\n44337 66355\n7034 10519\n6717 10050\n29284 43749\n93593 100000\n33448 49997\n75305 100000\n25363 37895\n71365 100000\n52067 78032\n40161 60105\n40073 59973\n49314 73873\n60607 90912\n47494 71122\n13997 20965\n87527 100000\n84761 100000\n64242 96353\n48090 72018\n35697 53368\n45436 68003\n27565 41184\n48030 71926\n65940 98911\n56216 84268\n49260 73797\n8769 13140\n51863 77726\n41954 62766\n7015 10492\n14514 21739\n48092 72022\n69825 100000\n66174 99278\n27015 40371\n26245 39228\n22558 33724\n67138 100000\n89490 100000\n2938 4423\n48045 71951\n68703 100000\n36042 53877\n77643 100000\n256 387\n78023 100000\n64548 96810\n25829 38590\n56532 84751\n16439 24600\n70529 100000\n94582 100000\n82460 100000\n59928 89885\n44057 65934\n11896 17838\n36765 54956\n46242 69225\n67669 100000\n43041 64393\n80985 100000\n15262 22852\n56219 84271\n11827 17730\n91094 100000\n49365 73955\n98695 100000\n58374 87559\n977 1491\n42149 63065\n75809 100000\n66998 100000\n91957 100000\n53273 79832\n72504 100000\n32314 48322\n94255 100000\n71677 100000\n71011 100000\n62214 93347\n11739 17599\n47776 71551\n71557 100000\n54543 81762\n63577 95359\n34210 51135\n57286 85904\n69348 100000\n74133 100000\n88554 100000\n34897 52170\n37931 56727\n83633 100000\n17596 26323\n94925 100000\n48939 73290\n19219 28736\n67775 100000\n68750 100000\n95323 100000\n89469 100000\n10324 15492\n85854 100000\n42062 62929\n30322 45323\n96033 100000\n25559 38183\n18804 28130\n9966 14946\n53331 79924\n14137 21172\n60154 90232\n85403 100000\n16260 24346\n3948 5952\n65622 98436\n39640 59329\n63854 95768\n14960 22397\n40856 61147\n67203 100000\n16828 25164\n79269 100000\n51509 77180\n30970 46301\n96983 100000\n93849 100000\n17484 26159\n50441 75569\n1668 2524\n49856 74695\n50821 76133\n14199 21270\n13532 20275\n40267 60255\n82934 100000\n79869 100000\n47400 70984\n97472 100000\n22367 33425\n156 236\n59333 88977\n67823 100000\n37950 56754\n90697 100000\n81879 100000\n86488 100000\n13614 20397\n17804 26631\n82213 100000\n47127 70562\n30481 45562\n57539 86285\n19157 28645\n5667 8491\n52063 78027\n9025 13537\n12189 18283\n36882 55141\n54552 81775\n16838 25181\n13914 20836\n13982 20943\n64685 97016\n11662 17487\n27023 40382\n2433 3672\n15000 22452\n58777 88156\n84943 100000\n54109 81114\n26233 39209\n43337 64838\n80997 100000\n38324 57329\n39040 58421\n69357 100000\n31123 46533\n23155 34622\n26774 40009\n35819 53547\n51393 77007\n39615 59290\n31541 47163\n23580 35259\n48638 72840\n3583 5387\n5048 7581\n10336 15508\n15578 23326\n7626 11414\n92571 100000\n11416 17116\n2711 4088\n82983 100000\n96041 100000\n81802 100000\n33749 50437\n46255 69247\n78629 100000\n99006 100000\n61398 92112\n80721 100000\n73681 100000\n51691 77455\n25319 37826\n13932 20866\n2620 3952\n43988 65831\n19600 29302\n71599 100000\n34701 51883\n39892 59708\n7053 10548\n19186 28685\n4101 6174\n51374 76978\n75518 100000\n64500 96734\n50236 75263\n64128 96183\n17897 26780\n86661 100000\n21904 32742\n73774 100000\n28655 42810\n234 354\n4850 7296\n60085 90127\n23192 34677\n45883 68683\n40189 60146\n7344 10994\n2195 3311\n43873 65661\n63630 95441\n56213 84265\n49368 73958\n68261 100000\n52909 79294\n62801 94204\n47259 70763\n97038 100000\n59858 89778\n24656 36852\n94219 100000\n92690 100000\n56120 84129\n40910 61226\n59243 88841\n20046 29971\n85256 100000\n90098 100000\n36519 54605\n68315 100000\n61571 92367\n92883 100000\n62059 93105\n44352 66379\n33904 50665\n37870 56636\n94480 100000\n40024 59897\n64612 96911\n1643 2488\n58859 88276\n11038 16550\n92346 100000\n48307 72342\n21121 31578\n55356 82987\n33610 50240\n68502 100000\n35120 52501\n98844 100000\n15088 22585\n86194 100000\n59570 89348\n68181 100000\n93337 100000\n1051 1607\n73376 100000\n32591 48733\n29935 44742\n33032 49385\n33332 49827\n7016 10493\n76868 100000\n61772 92663\n59258 88862\n46898 70221\n76214 100000\n12816 19211\n87441 100000\n31708 47423\n22740 34005\n72193 100000\n41042 61429\n52527 78728\n44199 66147\n23525 35182\n1010 1545\n66395 99612\n33535 50124\n65806 98712\n98500 100000\n34511 51595\n8684 13007\n24752 36989\n38145 57057\n98843 100000\n21070 31507\n66516 99801\n99362 100000\n61182 91782\n52740 79048\n1495 2265\n25389 37937\n34655 51811\n49162 73636\n71914 100000\n26880 40166\n64404 96588\n39460 59056\n78865 100000\n69620 100000\n84204 100000\n96076 100000\n62509 93769\n56421 84585\n50392 75497\n85280 100000\n17127 25620\n44559 66684\n79347 100000\n39459 59055\n37656 56308\n58185 87261\n96048 100000\n41988 62812\n86395 100000\n54755 82091\n57178 85734\n83747 100000\n95272 100000\n5159 7747\n43752 65472\n53848 80712\n39883 59696\n46580 69741\n66404 99628\n54181 81225\n75228 100000\n18312 27398\n26929 40242\n45634 68300\n41966 62782\n20384 30484\n86740 100000\n67965 100000\n59867 89792\n66694 100000\n86355 100000\n21844 32658\n17271 25842\n31802 47554\n67244 100000\n98402 100000\n53468 80138\n86924 100000\n53839 80697\n98091 100000\n76327 100000\n17312 25904\n71608 100000\n11402 17096\n32817 49070\n86387 100000\n84308 100000\n29074 43440\n38743 57975\n93699 100000\n1733 2611\n11253 16872\n44851 67113\n32889 49171\n81329 100000\n95895 100000\n23927 35786\n24340 36395\n8476 12686\n80057 100000\n59502 89242\n60336 90508\n23636 35340\n63386 95081\n3575 5377\n79841 100000\n85242 100000\n48043 71948\n39527 59156\n87271 100000\n33515 50094\n23489 35133\n26536 39664\n33886 50637\n48897 73226\n95368 100000\n8436 12627\n84005 100000\n69865 100000\n60230 90348\n91684 100000\n73127 100000\n27985 41814\n95893 100000\n97099 100000\n65960 98944\n96798 100000\n2358 3558\n39254 58757\n77599 100000\n20866 31193\n98394 100000\n38598 57754\n79627 100000\n23220 34722\n96583 100000\n6617 9897\n27465 41034\n99553 100000\n35643 53285\n3784 5690\n28332 42341\n4008 6044\n68408 100000\n83741 100000\n58186 87262\n90509 100000\n17753 26557\n14713 22028\n89220 100000\n90526 100000\n15120 22634\n64330 96484\n35568 53168\n73881 100000\n60373 90559\n53223 79762\n63032 94551\n91647 100000\n9273 13913\n42451 63519\n25198 37645\n87588 100000\n20214 30226\n55312 82921\n78694 100000\n88915 100000\n30553 45668\n964 1468\n36629 54761\n57748 86612\n39727 59465\n1671 2528\n29810 44548\n7988 11960\n7167 10723\n5916 8855\n72485 100000\n93094 100000\n75131 100000\n95978 100000\n10178 15267\n8045 12046\n11889 17829\n57089 85590\n23605 35296\n98654 100000\n14334 21472\n99820 100000\n56726 85035\n48527 72670\n27428 40979\n4081 6144\n47248 70745\n84375 100000\n46583 69746\n83727 100000\n85729 100000\n30381 45413\n52052 78009\n43838 65605\n21294 31831\n12017 18024\n14662 21947\n62528 93799\n19855 29682\n66841 100000\n23435 35044\n427 645\n37058 55413\n13707 20528\n78112 100000\n67172 100000\n42901 64195\n94164 100000\n38687 57889\n50385 75488\n89398 100000\n92515 100000\n23270 34797\n49025 73420\n25500 38101\n96203 100000\n90438 100000\n53313 79898\n2331 3519\n84558 100000\n37177 55591\n30191 45123\n80656 100000\n28934 43234\n85422 100000\n3992 6019\n13332 19976\n51814 77656\n17020 25458\n55214 82779\n62270 93432\n85752 100000\n71317 100000\n66465 99722\n47969 71840\n40446 60532\n99750 100000\n35713 53393\n69419 100000\n68572 100000\n18946 28339\n50131 75102\n41928 62729\n82815 100000\n7266 10877\n33227 49675\n75181 100000\n75556 100000\n89686 100000\n68300 100000\n39665 59369\n55761 83597\n75340 100000\n63896 95835\n7120 10649\n23432 35040\n95903 100000\n78807 100000\n19746 29520\n3565 5362\n76947 100000\n69075 100000\n9116 13677\n80773 100000\n45182 67619\n92550 100000\n77209 100000\n79036 100000\n60503 90759\n11446 17164\n51453 77095\n46464 69569\n96548 100000\n61603 92410\n9694 14540\n15180 22726\n40308 60319\n39633 59317\n75582 100000\n85905 100000\n36243 54182\n43656 65330\n19364 28949\n12494 18731\n93535 100000\n88136 100000\n16200 24255\n17421 26067\n48660 72873\n86370 100000\n61533 92312\n2055 3097\n12014 18019\n65902 98853\n80946 100000\n87230 100000\n30765 45997\n27 39\n67557 100000\n12971 19444\n37326 55814\n56374 84513\n92055 100000\n41884 62663\n96613 100000\n68589 100000\n73024 100000\n68788 100000\n30659 45827\n9979 14966\n13631 20421\n77435 100000\n57411 86089\n24667 36866\n17369 25988\n64405 96589\n2191 3305\n68842 100000\n66272 99426\n62048 93088\n84263 100000\n64985 97462\n21206 31707\n53850 80714\n1776 2672\n97298 100000\n34955 52255\n36787 54992\n24701 36915\n71108 100000\n33097 49487\n66780 100000\n85271 100000\n36777 54973\n348 522\n98935 100000\n7989 11962\n87273 100000\n74735 100000\n86330 100000\n3832 5767\n40979 61331\n72322 100000\n27843 41602\n23681 35410\n18709 27988\n6587 9847\n53298 79873\n23855 35674\n16302 24407\n49753 74542\n88380 100000\n26943 40262\n28824 43069\n11600 17391\n63033 94552\n45553 68181\n77146 100000\n80504 100000\n5295 7946\n27615 41264\n40923 61246\n37271 55733\n87810 100000\n33079 49458\n12755 19121\n48344 72397\n23835 35641\n78213 100000\n70064 100000\n57294 85914\n15844 23721\n73215 100000\n50356 75447\n65162 97734\n35920 53697\n49226 73740\n92021 100000\n35177 52583\n89114 100000\n53911 80812\n37061 55418\n72711 100000\n55064 82562\n86477 100000\n37907 56696\n75643 100000\n64338 96496\n4387 6593\n24073 36006\n49573 74272\n60543 90819\n12406 18603\n34532 51629\n71957 100000\n85619 100000\n65070 97592\n78301 100000\n52366 78488\n63100 94650\n93399 100000\n2683 4044\n28733 42929\n64410 96594\n75846 100000\n92319 100000\n21933 32786\n78580 100000\n52447 78607\n96170 100000\n43343 64848\n47947 71805\n77920 100000\n56313 84417\n14026 21007\n62838 94261\n26070 38960\n71511 100000\n4786 7204\n89685 100000\n40627 60807\n79952 100000\n93056 100000\n44828 67078\n37638 56278\n76219 100000\n88793 100000\n73044 100000\n8226 12313\n43980 65818\n62947 94427\n63170 94753\n84796 100000\n78509 100000\n34308 51281\n52379 78506\n81210 100000\n23747 35507\n24803 37065\n17238 25791\n11393 17082\n31466 47048\n77373 100000\n91082 100000\n81230 100000\n20000 29901\n42140 63051\n26628 39798\n60955 91430\n88244 100000\n74878 100000\n92631 100000\n14851 22236\n41758 62478\n25170 37603\n14921 22343\n53608 80357\n24022 35929\n12352 18525\n80476 100000\n61583 92382\n20010 29914\n53996 80940\n69943 100000\n41953 62764\n40511 60630\n53662 80442\n41547 62173\n57547 86300\n37634 56271\n43723 65428\n32508 48606\n17649 26405\n47339 70884\n50992 76394\n28 41\n26013 38870\n47090 70503\n79320 100000\n95962 100000\n7860 11764\n19467 29110\n87057 100000\n38278 57262\n19544 29216\n95195 100000\n54270 81353\n5110 7674\n27147 40567\n74399 100000\n49773 74572\n92442 100000\n68594 100000\n74205 100000\n37952 56756\n61554 92339\n20282 30330\n6000 8983\n19506 29160\n53115 79605\n48111 72051\n82154 100000\n23530 35189\n24496 36611\n51822 77665\n63589 95376\n78358 100000\n84095 100000\n15754 23594\n77923 100000\n59364 89027\n63718 95573\n85090 100000\n29119 43505\n87252 100000\n63646 95465\n78922 100000\n23030 34434\n29812 44551\n15623 23398\n10327 15496\n34326 51308\n32503 48598\n4222 6356\n98073 100000\n85342 100000\n95837 100000\n73186 100000\n14475 21682\n8562 12814\n59163 88721\n75141 100000\n86237 100000\n39723 59460\n20290 30345\n33651 50293\n67526 100000\n5494 8235\n73549 100000\n60138 90209\n59532 89289\n40887 61193\n85048 100000\n41577 62217\n14627 21897\n43257 64721\n65801 98704\n9197 13802\n1265 1925\n45845 68626\n1601 2426\n55813 83669\n83998 100000\n28860 43126\n29668 44332\n55664 83446\n60652 90980\n88343 100000\n14830 22202\n13640 20434\n88506 100000\n39281 58797\n24565 36716\n47670 71384\n31800 47551\n18445 27602\n37544 56135\n47429 71030\n46185 69137\n75599 100000\n82914 100000\n99501 100000\n9613 14411\n19390 28993\n45669 68355\n82752 100000\n47192 70658\n75372 100000\n84270 100000\n93463 100000\n49838 74666\n44373 66410\n50220 75238\n73402 100000\n38489 57583\n540 819\n16943 25342\n50742 76013\n35722 53403\n47038 70422\n70457 100000\n47480 71102\n85282 100000\n90535 100000\n10054 15084\n50444 75575\n81029 100000\n28438 42488\n27551 41161\n98331 100000\n17986 26920\n80527 100000\n94090 100000\n62610 93920\n21218 31723\n7708 11539\n121 184\n9840 14763\n18845 28186\n98816 100000\n36450 54504\n42368 63402\n366 549\n41777 62504\n73104 100000\n87115 100000\n2175 3277\n8787 13169\n24774 37023\n51153 76636\n29725 44422\n9070 13609\n19970 29856\n76557 100000\n26252 39240\n18493 27668\n466 704\n74669 100000\n49687 74441\n96537 100000\n91449 100000\n19905 29758\n6384 9558\n8182 12249\n88385 100000\n5278 7922\n92274 100000\n75410 100000\n43626 65286\n70013 100000\n96810 100000\n99080 100000\n31344 46862\n63361 95047\n26719 39930\n16431 24590\n20308 30370\n38048 56907\n36554 54657\n52165 78178\n49749 74535\n46363 69408\n89555 100000\n29210 43641\n92076 100000\n85643 100000\n56531 84749\n21086 31530\n65426 98136\n68251 100000\n91980 100000\n73110 100000\n92823 100000\n25740 38454\n37103 55482\n52466 78636\n35265 52717\n25596 38237\n50261 75299\n90079 100000\n87431 100000\n53520 80222\n82872 100000\n72668 100000\n94220 100000\n22344 33389\n86573 100000\n957 1458\n1395 2115\n51120 76590\n89169 100000\n39710 59438\n46053 68941\n30573 45696\n25572 38201\n43887 65683\n46360 69402\n10170 15256\n56218 84270\n27499 41085\n19693 29443\n78033 100000\n1458 2207\n39986 59843\n28056 41921\n67366 100000\n51181 76677\n86716 100000\n15485 23184\n57827 86734\n17492 26170\n41520 62134\n54199 81247\n78478 100000\n83139 100000\n94936 100000\n51071 76515\n38085 56966\n23240 34752\n14318 21451\n39230 58717\n9216 13832\n86170 100000\n21392 31978\n15809 23672\n7395 11069\n18960 28359\n9178 13774\n23076 34505\n75132 100000\n39542 59179\n13859 20757\n70762 100000\n7397 11072\n72533 100000\n25602 38245\n90610 100000\n51630 77365\n283 426\n49125 73580\n3837 5774\n42775 64005\n8699 13032\n8469 12678\n80270 100000\n27108 40510\n86791 100000\n89591 100000\n83669 100000\n27861 41629\n45974 68822\n50995 76400\n50170 75160\n15434 23110\n70458 100000\n20535 30716\n81225 100000\n91017 100000\n85521 100000\n35356 52857\n21860 32680\n48321 72362\n48041 71946\n41192 61658\n69004 100000\n48119 72063\n45787 68535\n7410 11092\n70467 100000\n49669 74414\n42995 64326\n43893 65692\n81767 100000\n61815 92731\n87524 100000\n42290 63279\n7771 11632\n65559 98337\n62344 93540\n34922 52208\n98652 100000\n21473 32101\n36470 54532\n68284 100000\n15853 23733\n70269 100000\n58375 87561\n9592 14379\n62475 93720\n59634 89447\n61042 91560\n26344 39380\n63365 95054\n40429 60508\n86392 100000\n81806 100000\n78278 100000\n15032 22503\n90028 100000\n96696 100000\n6089 9119\n64426 96618\n45513 68120\n38035 56887\n79497 100000\n31220 46676\n10765 16152\n98894 100000\n42189 63125\n96255 100000\n31472 47059\n6826 10212\n43266 64734\n84029 100000\n14904 22317\n75235 100000\n44281 66266\n98424 100000\n3192 4814\n6437 9628\n43029 64376\n33053 49419\n98527 100000\n46496 69618\n39991 59850\n64919 97367\n81766 100000\n88987 100000\n72821 100000\n32232 48202\n64767 97141\n85272 100000\n94357 100000\n7572 11338\n35750 53445\n77181 100000\n25018 37372\n24452 36549\n31990 47833\n69165 100000\n84974 100000\n42726 63930\n48133 72086\n67142 100000\n43353 64864\n12633 18938\n82378 100000\n62402 93619\n78929 100000\n68661 100000\n9395 14090\n53915 80818\n4175 6285\n23891 35728\n79623 100000\n47094 70509\n66414 99643\n53714 80522\n54800 82159\n40305 60313\n70507 100000\n27498 41084\n94385 100000\n62867 94305\n64101 96144\n38003 56835\n75929 100000\n73053 100000\n2961 4461\n37960 56768\n80011 100000\n86192 100000\n33583 50199\n80382 100000\n98250 100000\n56839 85202\n72453 100000\n63756 95628\n62317 93500\n5940 8889\n91970 100000\n55028 82507\n5554 8329\n76196 100000\n51836 77687\n56477 84668\n17548 26252\n4784 7200\n11215 16814\n46432 69517\n34989 52306\n51854 77714\n4422 6644\n89311 100000\n28462 42521\n38654 57842\n969 1477\n19058 28496\n57658 86468\n81822 100000\n23496 35144\n64096 96135\n76062 100000\n69303 100000\n84979 100000\n88603 100000\n49650 74384\n46264 69260\n30543 45653\n75177 100000\n58781 88161\n60724 91089\n5219 7838\n20297 30355\n5599 8395\n18275 27344\n50636 75862\n84049 100000\n65674 98511\n53955 80876\n72241 100000\n63318 94979\n57588 86362\n56243 84305\n32397 48443\n88970 100000\n37288 55757\n34238 51175\n8477 12687\n36177 54085\n48795 73072\n25152 37574\n57243 85835\n13187 19761\n3754 5644\n30133 45032\n22128 33074\n68180 100000\n39216 58693\n90965 100000\n45121 67525\n56476 84667\n18985 28395\n86815 100000\n80700 100000\n3663 5502\n36178 54086\n52234 78281\n42991 64320\n93681 100000\n30338 45346\n12276 18414\n8942 13410\n93181 100000\n35559 53156\n69433 100000\n42737 63950\n97677 100000\n62248 93397\n71547 100000\n60609 90916\n39289 58807\n48868 73184\n34984 52297\n79476 100000\n24838 37114\n12764 19136\n74288 100000\n28422 42466\n10246 15375\n58098 87140\n3681 5532\n71988 100000\n98115 100000\n2252 3395\n17601 26330\n57186 85748\n25588 38225\n85041 100000\n38301 57299\n34179 51086\n62578 93874\n83538 100000\n53639 80406\n75631 100000\n24121 36073\n66010 99020\n54701 82005\n35781 53490\n23338 34901\n78819 100000\n45251 67726\n47289 70804\n39678 59388\n70037 100000\n27778 41501\n33971 50768\n57735 86592\n98971 100000\n19988 29883\n65699 98551\n89518 100000\n27038 40403\n15720 23544\n96114 100000\n35771 53475\n61828 92752\n79360 100000\n35510 53084\n23553 35220\n64940 97398\n31092 46491\n89181 100000\n50303 75365\n8374 12536\n4060 6116\n41070 61471\n80813 100000\n86560 100000\n67145 100000\n60223 90337\n35297 52767\n58243 87354\n14321 21454\n50165 75152\n16084 24088\n76174 100000\n87283 100000\n11312 16960\n70613 100000\n60678 91018\n99628 100000\n4215 6346\n18080 27059\n24010 35912\n95604 100000\n5762 8630\n55393 83041\n7043 10533\n42825 64075\n35954 53746\n36431 54479\n90754 100000\n57749 86614\n18369 27485\n6904 10324\n53933 80843\n57880 86809\n41419 61988\n25093 37488\n62465 93705\n72418 100000\n82004 100000\n3730 5610\n5338 8010\n9873 14809\n76982 100000\n39793 59561\n19222 28739\n70251 100000\n88066 100000\n68893 100000\n31062 46445\n13922 20849\n33732 50416\n67627 100000\n77988 100000\n89734 100000\n92889 100000\n86489 100000\n62383 93596\n25507 38109\n87426 100000\n23657 35373\n17062 25522\n66494 99763\n81928 100000\n49890 74744\n46526 69662\n66316 99492\n25944 38763\n97730 100000\n22771 34050\n88695 100000\n16805 25135\n10210 15318\n59575 89354\n58696 88037\n88618 100000\n55779 83623\n30497 45586\n54264 81345\n98748 100000\n98501 100000\n99575 100000\n75349 100000\n99455 100000\n1304 1981\n47246 70741\n67236 100000\n31288 46781\n11608 17403\n59218 88806\n59910 89858\n96428 100000\n2890 4357\n63166 94747\n78811 100000\n11743 17605\n57192 85755\n69380 100000\n10485 15731\n9649 14466\n28188 42125\n24155 36124\n52313 78409\n9976 14960\n20888 31222\n26470 39566\n7587 11361\n22942 34301\n9141 13715\n64108 96155\n7547 11304\n58453 87677\n63073 94609\n31367 46899\n48516 72652\n57 84\n33717 50391\n63145 94717\n59252 88855\n93224 100000\n41396 61958\n41743 62457\n90346 100000\n68281 100000\n1952 2937\n45648 68322\n50869 76206\n29805 44541\n88189 100000\n70875 100000\n36497 54571\n52434 78586\n92030 100000\n93978 100000\n9631 14438\n10214 15325\n6758 10112\n80849 100000\n60705 91060\n67879 100000\n25971 38806\n12028 18045\n83539 100000\n61062 91591\n37394 55913\n55544 83263\n93944 100000\n65567 98349\n61453 92188\n59649 89468\n82380 100000\n64314 96458\n70273 100000\n26114 39027\n17349 25958\n73371 100000\n51348 76937\n48859 73169\n1751 2638\n93946 100000\n12322 18482\n89556 100000\n23764 35533\n83210 100000\n93717 100000\n51781 77599\n45973 68820\n46345 69379\n34829 52070\n44480 66566\n13621 20407\n57030 85496\n44065 65944\n82524 100000\n34396 51410\n78759 100000\n28965 43283\n32575 48706\n6128 9176\n94341 100000\n87123 100000\n69578 100000\n35821 53550\n79692 100000\n13856 20752\n14847 22231\n63289 94934\n37778 56493\n33956 50745\n54127 81140\n70560 100000\n651 995\n28907 43194\n27581 41208\n64770 97144\n46513 69644\n83526 100000\n50583 75791\n68423 100000\n30225 45172\n85769 100000\n77557 100000\n35396 52913\n3861 5814\n23623 35323\n17081 25552\n29868 44638\n38710 57927\n10680 16022\n70674 100000\n96570 100000\n83235 100000\n95073 100000\n90406 100000\n45474 68065\n66473 99735\n80091 100000\n39368 58922\n93459 100000\n52383 78513\n64809 97202\n11270 16897\n81759 100000\n47267 70774\n25146 37566\n71476 100000\n62129 93218\n95761 100000\n68035 100000\n67505 100000\n54467 81646\n46131 69053\n12384 18574\n70645 100000\n45112 67509\n73993 100000\n84546 100000\n84787 100000\n53509 80204\n76977 100000\n73754 100000\n7377 11043\n68087 100000\n34985 52299\n82397 100000\n1427 2162\n8907 13349\n10900 16345\n64252 96369\n31194 46636\n47132 70570\n57682 86505\n97834 100000\n82602 100000\n86255 100000\n17397 26031\n45247 67720\n30044 44906\n88391 100000\n89786 100000\n2827 4262\n72410 100000\n23644 35351\n18666 27919\n14316 21448\n41047 61435\n88931 100000\n49933 74807\n97417 100000\n10889 16328\n62592 93896\n61551 92336\n77419 100000\n90316 100000\n88045 100000\n43758 65482\n2610 3937\n43761 65487\n91724 100000\n73553 100000\n19172 28667\n51526 77206\n26833 40095\n33810 50525\n47613 71300\n62532 93803\n42284 63268\n11970 17953\n41681 62373\n76907 100000\n23388 34971\n41863 62633\n6912 10337\n64923 97373\n245 371\n50064 74999\n61617 92429\n72092 100000\n81015 100000\n26147 39077\n9851 14779\n64793 97175\n24130 36087\n33555 50157\n5145 7721\n54225 81284\n20746 31018\n40431 60510\n7405 11083\n79066 100000\n56277 84357\n76931 100000\n7736 11580\n4118 6198\n61438 92168\n91438 100000\n8892 13327\n42990 64319\n98638 100000\n32988 49320\n2080 3136\n82814 100000\n14931 22356\n90566 100000\n32607 48754\n24285 36312\n89952 100000\n19281 28831\n10294 15451\n55799 83650\n40186 60142\n67166 100000\n44946 67262\n29477 44030\n56422 84586\n28930 43227\n60456 90690\n26733 39950\n82472 100000\n78061 100000\n86956 100000\n6616 9895\n82956 100000\n53216 79751\n34610 51748\n5740 8601\n13465 20178\n32385 48426\n40172 60123\n18003 26948\n76401 100000\n25649 38312\n50005 74913\n85494 100000\n14540 21779\n73475 100000\n46789 70056\n15988 23939\n70565 100000\n46420 69497\n32544 48661\n37969 56783\n95929 100000\n39553 59198\n14181 21244\n40246 60227\n92124 100000\n93569 100000\n78746 100000\n90253 100000\n86565 100000\n66927 100000\n86191 100000\n3874 5834\n54637 81908\n83890 100000\n28000 41836\n2390 3606\n76096 100000\n23345 34910\n49943 74821\n32961 49279\n30635 45790\n82926 100000\n40696 60905\n3184 4802\n62648 93974\n17732 26524\n42143 63055\n61889 92848\n52883 79257\n33206 49645\n16839 25183\n54434 81599\n31009 46361\n89188 100000\n35963 53758\n99351 100000\n29981 44811\n49210 73715\n44261 66238\n23618 35314\n99464 100000\n42061 62927\n71295 100000\n45246 67719\n24159 36130\n6139 9192\n6576 9828\n12861 19281\n34934 52228\n50388 75492\n41187 61649\n1280 1944\n13012 19504\n79466 100000\n81340 100000\n62608 93918\n78843 100000\n19024 28443\n15871 23764\n93444 100000\n13603 20380\n17831 26674\n83693 100000\n50881 76223\n30398 45439\n1451 2196\n74326 100000\n41792 62528\n53472 80144\n63229 94840\n34889 52158\n85940 100000\n67000 100000\n59341 88990\n67559 100000\n54844 82221\n13265 19876\n60768 91156\n29338 43824\n66573 99889\n76059 100000\n11277 16908\n46342 69375\n88586 100000\n70768 100000\n5474 8206\n28219 42174\n36373 54388\n97270 100000\n17570 26282\n41142 61578\n62712 94066\n9003 13506\n30492 45579\n46043 68925\n84482 100000\n19714 29473\n37422 55956\n95943 100000\n72922 100000\n13391 20068\n34694 51873\n1561 2364\n83100 100000\n82972 100000\n79861 100000\n84285 100000\n13620 20405\n5312 7972\n79847 100000\n93632 100000\n47332 70872\n38819 58086\n35906 53673\n37321 55805\n31627 47296\n21537 32202\n18395 27525\n31561 47193\n70452 100000\n34035 50866\n51254 76790\n67589 100000\n13472 20187\n67760 100000\n97021 100000\n981 1498\n80568 100000\n80605 100000\n63040 94560\n89885 100000\n44336 66353\n4414 6635\n483 729\n20034 29951\n62468 93709\n24363 36427\n63548 95315\n26 37\n73253 100000\n97867 100000\n10363 15546\n86759 100000\n2956 4453\n92415 100000\n55184 82739\n63706 95555\n9751 14630\n51714 77491\n87391 100000\n56918 85324\n24665 36863\n74969 100000\n80245 100000\n38783 58029\n43701 65393\n64445 96643\n89888 100000\n43142 64550\n14762 22096\n61210 91824\n80691 100000\n4298 6460\n36733 54911\n65001 97487\n81542 100000\n2502 3773\n55468 83152\n5727 8581\n34514 51600\n85500 100000\n58360 87537\n2976 4485\n73010 100000\n29269 43730\n4268 6419\n67938 100000\n21179 31666\n10153 15229\n67129 100000\n45368 67900\n46926 70259\n59927 89884\n83138 100000\n86547 100000\n48826 73119\n32576 48707\n69779 100000\n91232 100000\n82495 100000\n42415 63469\n46714 69945\n21878 32702\n16557 24770\n76400 100000\n97511 100000\n61711 92576\n48451 72550\n14947 22378\n54761 82099\n56533 84752\n93923 100000\n99316 100000\n84274 100000\n60621 90934\n19559 29240\n42270 63246\n86731 100000\n72674 100000\n84298 100000\n61093 91635\n56517 84729\n24861 37148\n23301 34842\n25534 38149\n77929 100000\n89562 100000\n75914 100000\n20128 30101\n55237 82814\n21410 32002\n41998 62827\n33211 49652\n96024 100000\n33148 49561\n28822 43066\n28393 42422\n19195 28701\n86644 100000\n26591 39744\n96833 100000\n99956 100000\n10412 15621\n43647 65316\n57470 86181\n4702 7072\n42439 63501\n680 1035\n97776 100000\n88959 100000\n66430 99668\n54189 81236\n91514 100000\n19001 28417\n90597 100000\n28076 41951\n80859 100000\n8117 12153\n33704 50370\n11009 16509\n28927 43222\n33018 49362\n99407 100000\n2481 3744\n28905 43191\n32453 48524\n42085 62962\n71917 100000\n14055 21048\n92039 100000\n29796 44527\n55303 82910\n98658 100000\n10808 16212\n71542 100000\n93188 100000\n7186 10753\n24732 36961\n79889 100000\n64735 97094\n33176 49601\n61972 92973\n55905 83807\n27026 40386\n10293 15449\n81680 100000\n96909 100000\n36686 54840\n38843 58120\n64115 96165\n44005 65856\n80387 100000\n7961 11921\n26278 39283\n38589 57740\n44184 66124\n85259 100000\n27688 41366\n59888 89823\n26944 40264\n57542 86291\n1694 2559\n77819 100000\n90748 100000\n70417 100000\n99542 100000\n69543 100000\n59253 88856\n46537 69678\n50360 75452\n27374 40899\n10576 15870\n75153 100000\n12143 18216\n85896 100000\n60900 91352\n39585 59246\n46154 69089\n47795 71577\n20322 30390\n9031 13546\n33397 49922\n19446 29081\n26410 39477\n99378 100000\n86052 100000\n24991 37337\n76200 100000\n78051 100000\n70620 100000\n33982 50786\n91421 100000\n56791 85131\n50353 75442\n37109 55491\n79255 100000\n27068 40452\n40883 61187\n5523 8281\n97408 100000\n79334 100000\n43451 65013\n31922 47734\n37520 56102\n65255 97881\n35889 53648\n74698 100000\n30872 46154\n42292 63283\n79596 100000\n76917 100000\n50639 75866\n74652 100000\n73050 100000\n35086 52449\n33315 49803\n28236 42201\n83967 100000\n13909 20829\n12786 19168\n58067 87094\n81221 100000\n97414 100000\n56866 85245\n30436 45496\n51169 76660\n41222 61699\n48095 72027\n46565 69720\n79762 100000\n21988 32864\n27371 40895\n98195 100000\n49552 74240\n64256 96375\n79579 100000\n55885 83774\n66151 99240\n35127 52510\n53930 80839\n31430 46994\n27452 41016\n73447 100000\n9520 14276\n96929 100000\n81172 100000\n77473 100000\n18927 28312\n44466 66546\n46896 70218\n1297 1971\n42616 63761\n18165 27180\n86991 100000\n24553 36697\n56624 84884\n35945 53734\n59229 88823\n38960 58301\n94799 100000\n24704 36921\n31446 47019\n11294 16933\n89041 100000\n8631 12922\n80973 100000\n60477 90724\n47167 70624\n83570 100000\n3473 5231\n32348 48373\n82767 100000\n57152 85692\n54906 82318\n36511 54592\n17822 26657\n65910 98865\n23190 34674\n26647 39825\n32193 48144\n83313 100000\n89210 100000\n67124 100000\n30722 45930\n14441 21631\n46117 69033\n40103 60017\n35181 52588\n98246 100000\n48323 72365\n37906 56695\n61067 91599\n32739 48947\n47366 70929\n40802 61066\n67981 100000\n86739 100000\n78255 100000\n16253 24337\n9888 14831\n31417 46975\n45390 67935\n32346 48371\n23771 35543\n54168 81203\n18034 26993\n95328 100000\n82239 100000\n24784 37038\n81642 100000\n29444 43981\n60095 90141\n66120 99191\n37983 56805\n15511 23225\n65822 98734\n59905 89848\n71505 100000\n34496 51570\n73160 100000\n37570 56174\n90065 100000\n19033 28457\n62013 93030\n95083 100000\n54243 81313\n27006 40357\n99798 100000\n6872 10279\n21281 31811\n59848 89761\n93850 100000\n34542 51645\n47010 70382\n45254 67730\n12222 18333\n25755 38474\n37865 56628\n80192 100000\n24560 36708\n34303 51273\n43329 64827\n35718 53399\n92439 100000\n996 1523\n66234 99362\n50154 75138\n12106 18165\n3263 4920\n48 68\n58199 87286\n79241 100000\n32158 48089\n51698 77467\n75566 100000\n4094 6164\n34064 50910\n27000 40347\n37772 56484\n69917 100000\n18592 27812\n16486 24663\n26346 39383\n82446 100000\n51043 76473\n39775 59531\n78676 100000\n74465 100000\n59053 88554\n63544 95308\n69110 100000\n61374 92079\n9808 14714\n87766 100000\n65487 98231\n90391 100000\n58290 87428\n28414 42452\n18936 28325\n68794 100000\n30221 45168\n99643 100000\n97440 100000\n86250 100000\n2684 4045\n75323 100000\n774 1179\n89766 100000\n71043 100000\n11426 17130\n56826 85181\n17361 25975\n78658 100000\n72219 100000\n73793 100000\n2897 4368\n27620 41272\n85999 100000\n98299 100000\n94898 100000\n97650 100000\n53634 80397\n5239 7869\n1105 1688\n84325 100000\n64029 96033\n48180 72154\n71047 100000\n55802 83654\n28356 42375\n47291 70808\n67176 100000\n4433 6659\n41562 62194\n51551 77244\n82233 100000\n99535 100000\n20782 31073\n98582 100000\n21112 31565\n71132 100000\n94091 100000\n46724 69958\n42474 63550\n34024 50850\n2084 3142\n21849 32665\n89543 100000\n35773 53478\n54338 81452\n40574 60725\n2125 3204\n7812 11694\n79432 100000\n61545 92327\n57856 86777\n8271 12380\n27817 41560\n8761 13127\n41879 62655\n50311 75375\n99285 100000\n4794 7214\n63428 95143\n20755 31032\n88702 100000\n67251 100000\n53319 79907\n72776 100000\n91028 100000\n33282 49754\n77565 100000\n83155 100000\n28713 42902\n93613 100000\n11234 16842\n36972 55274\n47692 71417\n87178 100000\n79720 100000\n17071 25537\n57701 86534\n41726 62433\n27682 41358\n47622 71312\n70578 100000\n40937 61268\n94260 100000\n14491 21702\n51463 77111\n93368 100000\n49143 73610\n83651 100000\n79378 100000\n58560 87837\n73685 100000\n62154 93254\n42434 63495\n35548 53138\n90206 100000\n92311 100000\n61822 92741\n97927 100000\n23514 35168\n10608 15917\n96468 100000\n45363 67892\n42839 64096\n79797 100000\n51206 76716\n41945 62751\n49721 74494\n10802 16204\n76421 100000\n95538 100000\n11118 16665\n69325 100000\n22827 34128\n77655 100000\n49979 74870\n16553 24766\n91616 100000\n46276 69276\n23210 34705\n34558 51669\n11024 16529\n52630 78885\n66638 99987\n88669 100000\n99133 100000\n16229 24298\n17449 26104\n82110 100000\n43768 65498\n21889 32719\n26305 39322\n23077 34506\n87248 100000\n48234 72235\n58668 87994\n12006 18006\n4971 7468\n7195 10768\n62903 94361\n84387 100000\n14162 21215\n74733 100000\n61529 92306\n41027 61408\n76490 100000\n87684 100000\n8741 13097\n70396 100000\n45535 68152\n62037 93069\n77715 100000\n80816 100000\n16628 24876\n76056 100000\n88357 100000\n73091 100000\n19053 28488\n8503 12730\n48779 73047\n91547 100000\n25592 38231\n93621 100000\n77746 100000\n90227 100000\n13286 19908\n8946 13416\n36695 54851\n5570 8353\n34040 50874\n33185 49617\n85139 100000\n100 154\n64339 96498\n28431 42478\n44415 66468\n99927 100000\n83187 100000\n28374 42398\n82883 100000\n82595 100000\n69118 100000\n32241 48215\n91247 100000\n52159 78170\n95841 100000\n33945 50726\n15789 23644\n15753 23592\n97134 100000\n7445 11144\n58896 88329\n34204 51126\n42972 64298\n82200 100000\n13796 20662\n72450 100000\n93590 100000\n74880 100000\n66259 99403\n27337 40845\n82407 100000\n18779 28091\n61058 91586\n14291 21413\n87367 100000\n37829 56575\n66412 99640\n35391 52905\n26072 38963\n82396 100000\n58419 87629\n38127 57027\n83066 100000\n98452 100000\n89672 100000\n58373 87558\n77433 100000\n46899 70222\n52132 78135\n77450 100000\n47045 70432\n83557 100000\n68956 100000\n33440 49982\n60876 91316\n90205 100000\n28861 43127\n39729 59467\n92020 100000\n88688 100000\n56222 84275\n5094 7651\n47190 70655\n9703 14555\n24632 36818\n40751 60987\n20725 30989\n47317 70848\n17868 26734\n40917 61236\n58299 87441\n96824 100000\n20062 29996\n60407 90608\n40227 60202\n57965 86939\n30210 45154\n73692 100000\n8310 12439\n68643 100000\n55576 83313\n21171 31654\n9783 14676\n5647 8465\n25192 37637\n75197 100000\n65087 97618\n47443 71051\n31621 47287\n10220 15335\n38935 58264\n32504 48600\n1053 1610\n62507 93766\n70969 100000\n68028 100000\n15688 23497\n35052 52399\n38065 56934\n53458 80124\n80701 100000\n58370 87553\n50518 75691\n2818 4250\n6651 9951\n28827 43075\n96656 100000\n62615 93927\n3856 5806\n1368 2076\n40961 61304\n19315 28880\n94569 100000\n79418 100000\n22307 33336\n52668 78940\n20396 30505\n61097 91642\n21969 32837\n87537 100000\n388 585\n74970 100000\n57654 86463\n58117 87168\n66623 99964\n25687 38372\n24137 36100\n62031 93059\n91759 100000\n29013 43354\n25065 37446\n48050 71957\n33665 50315\n96065 100000\n40841 61123\n89544 100000\n63894 95832\n22222 33207\n92338 100000\n67828 100000\n55820 83679\n50954 76339\n18561 27768\n35766 53468\n61800 92707\n69356 100000\n37608 56230\n37811 56545\n23143 34605\n59674 89505\n62526 93796\n96640 100000\n53277 79838\n56937 85358\n45152 67570\n7324 10964\n3601 5413\n97082 100000\n26242 39222\n18280 27352\n23864 35688\n57630 86429\n18900 28272\n49502 74161\n39458 59053\n88520 100000\n8674 12992\n53773 80606\n39718 59451\n76006 100000\n62910 94373\n69358 100000\n94901 100000\n648 989\n79965 100000\n75916 100000\n7342 10991\n61763 92651\n12676 19006\n41526 62142\n75302 100000\n98539 100000\n56662 84941\n37545 56136\n35218 52643\n91558 100000\n22039 32940\n92880 100000\n16749 25055\n90862 100000\n23915 35767\n59216 88803\n42543 63649\n94183 100000\n2072 3122\n9925 14888\n50049 74978\n12295 18442\n44262 66239\n63327 94992\n41129 61560\n54549 81771\n10255 15390\n97837 100000\n79522 100000\n78035 100000\n23837 35644\n5812 8701\n86540 100000\n76187 100000\n82522 100000\n38214 57165\n19570 29257\n67764 100000\n54237 81304\n71469 100000\n36965 55265\n79047 100000\n4816 7244\n66195 99312\n27469 41039\n69915 100000\n45746 68470\n82614 100000\n52673 78949\n76928 100000\n89002 100000\n34281 51235\n31727 47448\n71149 100000\n53439 80095\n7968 11932\n2357 3556\n79430 100000\n97672 100000\n40919 61239\n76974 100000\n95756 100000\n69843 100000\n20280 30328\n57196 85762\n15181 22728\n1467 2221\n55100 82617\n66223 99347\n81992 100000\n85358 100000\n7466 11180\n10063 15098\n11865 17787\n85243 100000\n23937 35803\n42648 63814\n97589 100000\n32680 48862\n27955 41770\n17076 25545\n38255 57229\n60749 91127\n41720 62423\n41203 61672\n70322 100000\n34831 52073\n63730 95590\n89465 100000\n52179 78197\n19037 28463\n32459 48531\n88419 100000\n74239 100000\n16336 24455\n13264 19874\n1365 2072\n46024 68898\n44745 66960\n70881 100000\n97784 100000\n41450 62033\n38566 57706\n47634 71331\n64230 96337\n22073 32994\n64761 97133\n21621 32326\n45751 68478\n91532 100000\n8840 13249\n43631 65293\n6993 10461\n77453 100000\n94830 100000\n85105 100000\n60429 90646\n22168 33133\n266 401\n99898 100000\n92728 100000\n82793 100000\n67182 100000\n65181 97764\n75170 100000\n10846 16263\n23635 35339\n69913 100000\n43323 64820\n79127 100000\n79013 100000\n71204 100000\n73247 100000\n52889 79265\n47727 71473\n36633 54767\n32166 48101\n27540 41147\n13315 19953\n50576 75778\n6533 9767\n73195 100000\n92069 100000\n14247 21344\n87474 100000\n80362 100000\n8334 12475\n14631 21903\n25614 38264\n18758 28060\n41311 61833\n71160 100000\n99099 100000\n20532 30712\n99240 100000\n53732 80546\n86149 100000\n10559 15844\n12440 18656\n35856 53598\n42147 63062\n53248 79798\n16978 25396\n9915 14873\n86443 100000\n63984 95970\n59548 89316\n53715 80523\n5389 8084\n85028 100000\n21651 32370\n41534 62155\n48322 72363\n34633 51781\n71970 100000\n54400 81546\n62811 94217\n6926 10358\n18207 27243\n53853 80719\n28532 42622\n55109 82631\n99502 100000\n32152 48080\n72635 100000\n45340 67859\n79753 100000\n95725 100000\n54284 81371\n75981 100000\n16769 25083\n61180 91779\n74229 100000\n32495 48586\n99507 100000\n91857 100000\n10769 16157\n59332 88976\n52624 78876\n89719 100000\n93415 100000\n51990 77919\n77550 100000\n54283 81370\n93947 100000\n334 501\n42498 63587\n5496 8238\n79553 100000\n47313 70842\n15244 22820\n68267 100000\n55848 83722\n164 248\n59860 89782\n71868 100000\n44035 65901\n17841 26689\n50379 75480\n25681 38363\n84340 100000\n17240 25794\n59996 89996\n74293 100000\n6683 9996\n66299 99467\n33974 50774\n75816 100000\n88801 100000\n64972 97441\n52239 78291\n74332 100000\n57328 85964\n65326 97982\n49931 74805\n58683 88016\n33912 50676\n5580 8367\n31211 46662\n72522 100000\n94215 100000\n87240 100000\n38719 57940\n91915 100000\n98094 100000\n22684 33915\n99263 100000\n74079 100000\n82140 100000\n58710 88059\n21418 32014\n53175 79692\n85781 100000\n4937 7420\n23121 34576\n55696 83496\n8992 13487\n77040 100000\n83380 100000\n6678 9989\n5165 7757\n14565 21813\n71758 100000\n48253 72263\n69505 100000\n90850 100000\n54363 81493\n4050 6102\n55127 82656\n60861 91294\n61523 92296\n14253 21354\n94121 100000\n85610 100000\n46385 69442\n23723 35472\n52723 79027\n27975 41798\n72383 100000\n81028 100000\n50704 75955\n22636 33843\n64777 97151\n19814 29618\n40399 60464\n13447 20150\n17869 26736\n58753 88120\n46405 69474\n78120 100000\n84811 100000\n17981 26912\n29277 43740\n39488 59098\n54084 81079\n31724 47444\n77718 100000\n37426 55962\n96573 100000\n34522 51612\n91074 100000\n32776 49003\n78455 100000\n37798 56524\n18158 27170\n13692 20507\n3956 5961\n25892 38686\n87585 100000\n53240 79785\n47677 71393\n61825 92746\n59926 89882\n75088 100000\n60370 90555\n25877 38663\n57504 86233\n29214 43648\n6308 9441\n76632 100000\n58151 87212\n98566 100000\n94226 100000\n26090 38988\n3618 5436\n67154 100000\n21780 32563\n4677 7033\n4180 6293\n83346 100000\n92528 100000\n33919 50685\n25601 38243\n37135 55528\n11004 16501\n55130 82659\n75155 100000\n5443 8161\n4275 6429\n80138 100000\n47072 70471\n4875 7331\n90126 100000\n58751 88118\n50523 75697\n22424 33514\n60716 91076\n32085 47979\n54006 80953\n21416 32010\n22047 32952\n12773 19150\n53301 79877\n50495 75656\n4097 6168\n19591 29290\n97682 100000\n94825 100000\n64432 96625\n47851 71663\n98429 100000\n89360 100000\n1003 1534\n16060 24050\n47617 71306\n46797 70068\n11947 17919\n96363 100000\n27920 41719\n61109 91660\n6300 9427\n79840 100000\n44487 66576\n92698 100000\n28410 42446\n94218 100000\n350 526\n66114 99182\n58666 87991\n77514 100000\n92446 100000\n93488 100000\n86207 100000\n5897 8825\n20549 30735\n9674 14509\n6305 9436\n84775 100000\n85561 100000\n76558 100000\n34131 51013\n85821 100000\n33044 49403\n64456 96659\n64805 97195\n25543 38162\n39512 59136\n11362 17034\n36327 54314\n29672 44339\n44689 66878\n38492 57588\n63693 95533\n85097 100000\n67047 100000\n73593 100000\n43886 65681\n9597 14386\n53299 79874\n23484 35125\n59182 88751\n68467 100000\n20370 30462\n81837 100000\n89209 100000\n26794 40036\n33741 50428\n33145 49557\n97806 100000\n56413 84574\n85152 100000\n6080 9104\n10684 16030\n56778 85110\n75339 100000\n98530 100000\n36998 55317\n61813 92727\n49638 74369\n33067 49439\n13793 20658\n41619 62277\n29508 44075\n66579 99898\n92342 100000\n30735 45951\n99887 100000\n85778 100000\n13247 19848\n8122 12161\n12757 19124\n82055 100000\n45487 68082\n6212 9296\n75512 100000\n36808 55025\n24535 36668\n20060 29994\n29771 44491\n33549 50145\n99571 100000\n71561 100000\n89229 100000\n40642 60827\n93043 100000\n63202 94801\n66544 99847\n19122 28594\n78540 100000\n6372 9539\n49907 74771\n6880 10291\n19915 29772\n87289 100000\n2141 3228\n69519 100000\n90167 100000\n45766 68504\n7497 11232\n90148 100000\n95311 100000\n44168 66100\n34611 51749\n62829 94247\n15417 23083\n91681 100000\n82128 100000\n91966 100000\n15629 23408\n15728 23557\n39255 58759\n25840 38607\n4462 6705\n53957 80879\n47686 71408\n49550 74237\n35025 52360\n37383 55897\n32967 49288\n46407 69476\n59012 88498\n18641 27882\n24090 36028\n45071 67447\n19772 29558\n10730 16100\n69101 100000\n87567 100000\n72136 100000\n63408 95113\n373 559\n51298 76859\n84109 100000\n33883 50633\n70029 100000\n2807 4233\n18069 27043\n18087 27068\n18269 27336\n84119 100000\n92293 100000\n258 389\n88507 100000\n32315 48323\n85900 100000\n38786 58033\n87548 100000\n36064 53916\n90800 100000\n38781 58027\n51054 76489\n66774 100000\n64599 96893\n28796 43023\n56657 84934\n23457 35084\n85962 100000\n95714 100000\n941 1435\n75559 100000\n49242 73767\n46014 68884\n67335 100000\n28961 43277\n71395 100000\n10299 15458\n79521 100000\n90659 100000\n12941 19398\n26632 39804\n32763 48984\n74597 100000\n95719 100000\n92546 100000\n74251 100000\n98367 100000\n26011 38867\n85285 100000\n57094 85598\n87557 100000\n28683 42856\n43610 65262\n68333 100000\n6801 10172\n86885 100000\n36903 55173\n55425 83086\n59124 88661\n31723 47443\n43320 64817\n94241 100000\n191 289\n58818 88215\n71520 100000\n72163 100000\n87891 100000\n90402 100000\n86300 100000\n9447 14172\n53349 79952\n94622 100000\n92343 100000\n35176 52581\n86336 100000\n46409 69479\n51289 76842\n15085 22581\n62187 93305\n77890 100000\n94771 100000\n2083 3140\n90192 100000\n57424 86108\n53396 80026\n62859 94292\n14416 21593\n8528 12765\n74285 100000\n88839 100000\n32520 48622\n84522 100000\n6169 9232\n89546 100000\n82545 100000\n8685 13009\n44587 66731\n65812 98721\n33737 50422\n66634 99983\n45308 67810\n62708 94061\n31631 47304\n68536 100000\n98245 100000\n21417 32012\n58020 87024\n50534 75712\n94109 100000\n62858 94291\n80850 100000\n86751 100000\n69762 100000\n95264 100000\n85709 100000\n86763 100000\n36129 54019\n70478 100000\n73013 100000\n80776 100000\n4103 6176\n26803 40052\n88803 100000\n78917 100000\n77683 100000\n76702 100000\n21898 32732\n57355 86005\n13575 20341\n35830 53562\n84385 100000\n94735 100000\n47640 71342\n35053 52400\n22725 33982\n39979 59834\n63266 94898\n34561 51673\n28832 43082\n97264 100000\n48418 72505\n97491 100000\n1985 2984\n56254 84321\n82665 100000\n71991 100000\n72010 100000\n50512 75683\n51109 76573\n96156 100000\n86257 100000\n41448 62031\n97228 100000\n27391 40924\n61391 92100\n57892 86831\n88299 100000\n44446 66515\n81832 100000\n13577 20344\n54445 81618\n79779 100000\n89018 100000\n71166 100000\n26085 38980\n86842 100000\n88092 100000\n54596 81840\n61912 92883\n35054 52401\n61405 92123\n1608 2435\n86787 100000\n4463 6707\n71390 100000\n4420 6642\n41261 61756\n39876 59686\n79112 100000\n1412 2141\n91955 100000\n21748 32517\n74187 100000\n51717 77496\n58533 87796\n41220 61697\n99367 100000\n16881 25252\n73517 100000\n81142 100000\n9582 14365\n16696 24975\n44803 67042\n46439 69529\n19837 29653\n77589 100000\n29557 44151\n36174 54081\n29062 43423\n85903 100000\n3355 5048\n81732 100000\n26297 39309\n73388 100000\n15269 22861\n86033 100000\n15997 23955\n93652 100000\n67021 100000\n34360 51356\n85300 100000\n24126 36081\n21138 31603\n28196 42138\n21981 32855\n62634 93956\n86625 100000\n79701 100000\n72298 100000\n58646 87961\n41648 62323\n77764 100000\n31606 47262\n47238 70726\n51713 77489\n55136 82670\n33465 50026\n86928 100000\n1113 1700\n94919 100000\n70439 100000\n44883 67159\n22597 33783\n93243 100000\n65942 98915\n8342 12488\n73609 100000\n93855 100000\n41841 62596\n98348 100000\n87716 100000\n13691 20505\n78500 100000\n72884 100000\n52147 78156\n53999 80943\n26867 40144\n90631 100000\n36094 53966\n86960 100000\n101 156\n18888 28256\n32926 49227\n14048 21038\n93718 100000\n15335 22957\n9822 14736\n26526 39651\n39759 59507\n41405 61972\n68951 100000\n46416 69490\n26459 39549\n68840 100000\n72110 100000\n52299 78392\n50538 75719\n69431 100000\n45282 67772\n98080 100000\n31658 47348\n33429 49965\n28602 42725\n37663 56317\n47904 71745\n9206 13817\n34427 51456\n47658 71366\n38639 57819\n21728 32485\n76305 100000\n87938 100000\n94743 100000\n22101 33034\n83478 100000\n71032 100000\n10319 15486\n20853 31175\n72763 100000\n28711 42899\n64974 97444\n3274 4937\n4041 6088\n41289 61802\n79971 100000\n67702 100000\n19807 29607\n32101 48004\n1698 2565\n1873 2820\n12432 18643\n44758 66980\n94603 100000\n6016 9009\n69155 100000\n50091 75041\n57210 85783\n14785 22130\n29382 43889\n24047 35966\n55580 83320\n42852 64114\n93361 100000\n88053 100000\n75206 100000\n7318 10955\n64994 97476\n23179 34657\n42033 62884\n12465 18691\n79471 100000\n51979 77899\n97670 100000\n68306 100000\n31158 46588\n84806 100000\n72782 100000\n43165 64583\n78933 100000\n80464 100000\n69795 100000\n4169 6277\n47774 71548\n13080 19603\n73659 100000\n65111 97655\n27574 41196\n57826 86733\n13400 20080\n96417 100000\n98127 100000\n72677 100000\n57541 86289\n11295 16935\n97945 100000\n40440 60523\n59840 89749\n22479 33599\n25960 38788\n30642 45802\n81121 100000\n65453 98178\n47465 71079\n50711 75966\n2751 4147\n41011 61383\n96898 100000\n78132 100000\n7100 10618\n73344 100000\n19734 29503\n79791 100000\n62404 93622\n53688 80482\n47819 71614\n447 674\n55595 83345\n79328 100000\n15034 22507\n57346 85992\n8575 12833\n22514 33651\n41576 62215\n44431 66493\n71745 100000\n86674 100000\n53978 80909\n9111 13670\n26663 39845\n95581 100000\n78775 100000\n50174 75166\n49385 73985\n77471 100000\n38911 58223\n15904 23812\n38271 57252\n43417 64961\n17844 26694\n5659 8481\n20105 30065\n55643 83416\n51005 76414\n6753 10103\n91988 100000\n81020 100000\n77775 100000\n40680 60882\n79559 100000\n52459 78626\n74671 100000\n2694 4060\n65238 97855\n95142 100000\n74965 100000\n82421 100000\n15433 23108\n50050 74979\n45748 68472\n70325 100000\n72664 100000\n35513 53088\n44636 66803\n3561 5358\n36276 54235\n31387 46931\n83071 100000\n19003 28419\n87121 100000\n37119 55503\n31573 47209\n59631 89441\n74615 100000\n90446 100000\n32169 48105\n50910 76271\n94377 100000\n81114 100000\n11552 17319\n86824 100000\n67115 100000\n88415 100000\n17052 25508\n86374 100000\n99714 100000\n33376 49891\n96209 100000\n21274 31801\n26769 40001\n18783 28097\n3936 5937\n2153 3245\n21638 32350\n24824 37095\n77446 100000\n55708 83514\n18142 27147\n22266 33272\n30366 45391\n4830 7267\n94490 100000\n15739 23572\n59190 88763\n56590 84831\n54978 82430\n1511 2293\n70873 100000\n67676 100000\n6542 9781\n12130 18199\n80522 100000\n3589 5396\n20068 30006\n77116 100000\n1541 2332\n82331 100000\n55240 82819\n61288 91951\n78527 100000\n8879 13307\n21600 32291\n79098 100000\n52659 78926\n58771 88147\n887 1355\n43397 64933\n96204 100000\n95535 100000\n31140 46561\n15819 23684\n22158 33118\n16937 25334\n99606 100000\n87948 100000\n11084 16620\n27686 41364\n2427 3662\n8859 13277\n67552 100000\n69890 100000\n13236 19833\n50027 74946\n18576 27790\n43379 64904\n36753 54941\n24036 35950\n17974 26901\n51210 76721\n47543 71200\n32111 48018\n90910 100000\n89735 100000\n41781 62510\n61629 92448\n47854 71668\n84677 100000\n74691 100000\n89693 100000\n47988 71870\n83770 100000\n67112 100000\n11204 16798\n47433 71035\n1808 2719\n22256 33258\n22679 33909\n89526 100000\n97328 100000\n76061 100000\n72666 100000\n11779 17663\n26578 39727\n11615 17415\n68120 100000\n12003 18002\n11116 16662\n94842 100000\n8702 13037\n89701 100000\n10853 16272\n1192 1816\n80239 100000\n58732 88089\n7824 11711\n886 1354\n15694 23506\n60987 91475\n18455 27616\n39261 58768\n12530 18784\n53592 80331\n15243 22818\n37847 56601\n23827 35633\n11349 17013\n14846 22229\n71534 100000\n9598 14387\n10120 15179\n91398 100000\n41043 61431\n27280 40758\n54500 81697\n66570 99885\n37560 56156\n64044 96057\n15943 23871\n51398 77016\n54672 81962\n50755 76031\n64794 97177\n23853 35670\n11162 16728\n53 77\n56828 85184\n20892 31229\n65974 98965\n15078 22571\n3119 4704\n62764 94145\n74060 100000\n83904 100000\n9413 14119\n88212 100000\n34919 52202\n61879 92831\n60729 91097\n98106 100000\n29069 43431\n43738 65450\n69582 100000\n53475 80148\n82880 100000\n60930 91393\n20518 30693\n84137 100000\n71431 100000\n83170 100000\n25352 37876\n8798 13186\n18854 28200\n93859 100000\n62137 93229\n67287 100000\n98283 100000\n62162 93268\n43213 64659\n32758 48979\n86598 100000\n61536 92316\n9308 13966\n76661 100000\n62763 94144\n94481 100000\n81922 100000\n69408 100000\n49163 73638\n88352 100000\n37917 56711\n23795 35583\n54547 81767\n21839 32652\n59716 89568\n51598 77316\n53466 80135\n83243 100000\n59260 88864\n99049 100000\n51656 77400\n8710 13049\n12315 18472\n23969 35848\n72088 100000\n65934 98902\n76676 100000\n22629 33831\n4297 6459\n772 1176\n3503 5275\n30706 45901\n64587 96870\n47268 70776\n53009 79445\n85365 100000\n18597 27818\n57375 86033\n91761 100000\n82295 100000\n81926 100000\n37290 55759\n99141 100000\n37610 56234\n93234 100000\n20523 30701\n58950 88406\n75552 100000\n62688 94032\n87564 100000\n18104 27095\n20593 30799\n89649 100000\n75256 100000\n91593 100000\n84641 100000\n38107 56998\n99237 100000\n56505 84710\n89846 100000\n83794 100000\n62463 93702\n4491 6750\n87264 100000\n36693 54848\n11815 17713\n21846 32660\n57029 85494\n46614 69793\n82245 100000\n84125 100000\n56999 85449\n32247 48223\n68608 100000\n63755 95626\n20685 30931\n44361 66391\n18343 27445\n50580 75786\n228 345\n9220 13840\n59657 89480\n55685 83481\n34606 51740\n43344 64850\n48239 72244\n57259 85860\n57973 86953\n53431 80082\n80651 100000\n6251 9353\n41521 62135\n65968 98957\n99889 100000\n70539 100000\n20550 30737\n14767 22103\n1582 2398\n45982 68835\n38518 57630\n49179 73664\n61285 91947\n51683 77445\n1655 2508\n84273 100000\n30647 45810\n44097 65993\n28794 43020\n15826 23692\n29000 43334\n28496 42567\n7146 10689\n76577 100000\n91243 100000\n9857 14786\n26748 39972\n44952 67269\n15743 23579\n69597 100000\n88589 100000\n66528 99821\n80708 100000\n13268 19880\n83900 100000\n29785 44511\n29471 44020\n63815 95713\n78901 100000\n34990 52308\n12932 19385\n96 146\n69486 100000\n90311 100000\n52089 78067\n56752 85072\n69448 100000\n63084 94626\n92730 100000\n6558 9801\n80829 100000\n9883 14823\n81664 100000\n76433 100000\n99235 100000\n61820 92738\n3982 6002\n89253 100000\n1237 1881\n37923 56718\n44516 66622\n39125 58545\n24907 37218\n16233 24305\n40080 59984\n3462 5215\n74276 100000\n11100 16640\n62722 94083\n52346 78457\n51999 77930\n57111 85622\n8923 13378\n11473 17205\n74796 100000\n58415 87625\n16704 24988\n79975 100000\n39813 59591\n37626 56259\n28224 42182\n41982 62805\n58862 88280\n9307 13965\n23998 35893\n36559 54663\n91668 100000\n13309 19942\n9716 14574\n8557 12809\n35232 52666\n86007 100000\n18086 27067\n83536 100000\n35981 53786\n42257 63225\n56383 84527\n10313 15474\n73933 100000\n45111 67507\n41529 62148\n83261 100000\n8865 13287\n10192 15290\n17862 26726\n83283 100000\n55456 83135\n74538 100000\n92198 100000\n50649 75880\n96309 100000\n75166 100000\n6928 10361\n43724 65429\n48823 73116\n89507 100000\n76586 100000\n77611 100000\n11905 17853\n7409 11090\n90221 100000\n21725 32479\n10357 15537\n2264 3414\n56016 83970\n44382 66420\n85261 100000\n69378 100000\n32292 48288\n50700 75949\n18762 28066\n42642 63804\n69630 100000\n89496 100000\n27926 41729\n29145 43543\n70981 100000\n40618 60792\n36490 54561\n82859 100000\n47468 71085\n33830 50553\n14028 21010\n69113 100000\n40268 60257\n72648 100000\n68303 100000\n68330 100000\n46291 69296\n35682 53345\n1127 1723\n62691 94037\n85898 100000\n23958 35831\n11053 16572\n94128 100000\n26249 39234\n68134 100000\n77144 100000\n99519 100000\n8943 13411\n93393 100000\n86130 100000\n2302 3470\n71130 100000\n71216 100000\n41567 62201\n17712 26494\n84433 100000\n11701 17545\n28909 43197\n16936 25332\n67917 100000\n11379 17062\n82967 100000\n57007 85461\n23066 34488\n89427 100000\n68345 100000\n49670 74416\n24734 36964\n26218 39187\n55725 83542\n8991 13486\n65930 98897\n68916 100000\n88870 100000\n62775 94161\n48580 72752\n7511 11254\n52458 78624\n44112 66017\n60491 90743\n28240 42206\n99899 100000\n4246 6388\n24365 36429\n64637 96947\n11809 17706\n46644 69840\n94325 100000\n488 737\n31694 47405\n66817 100000\n90237 100000\n61146 91723\n25675 38355\n11828 17731\n83287 100000\n21433 32041\n8012 11994\n24250 36264\n49142 73608\n51593 77309\n98000 100000\n65205 97802\n26820 40076\n39207 58678\n53376 79999\n22281 33294\n86383 100000\n69202 100000\n43471 65043\n62517 93782\n15806 23667\n11435 17146\n46305 69318\n45038 67399\n69249 100000\n54560 81789\n87880 100000\n11678 17511\n49616 74337\n31696 47409\n87712 100000\n39256 58760\n34269 51220\n88630 100000\n7371 11036\n88218 100000\n97854 100000\n74260 100000\n64086 96115\n99465 100000\n1161 1776\n50078 75020\n62011 93028\n89668 100000\n4232 6368\n93071 100000\n91757 100000\n6642 9937\n45842 68620\n49080 73508\n98814 100000\n37887 56663\n70603 100000\n74410 100000\n73143 100000\n39952 59795\n32443 48509\n88636 100000\n27222 40671\n73221 100000\n92760 100000\n80883 100000\n50135 75108\n42656 63825\n86185 100000\n79804 100000\n79555 100000\n66707 100000\n78081 100000\n2379 3592\n88635 100000\n61095 91639\n2560 3857\n38172 57097\n66538 99837\n41612 62268\n81621 100000\n73645 100000\n93400 100000\n22034 32931\n91991 100000\n71734 100000\n88670 100000\n70481 100000\n18672 27930\n14560 21807\n44991 67326\n32958 49274\n60435 90658\n50562 75757\n15297 22904\n55933 83851\n99304 100000\n52585 78821\n72528 100000\n83886 100000\n66341 99524\n32303 48307\n2156 3248\n70812 100000\n49917 74785\n32903 49194\n26909 40209\n45637 68305\n83498 100000\n9472 14211\n39036 58415\n31760 47493\n16285 24381\n26362 39408\n45357 67884\n11749 17615\n94581 100000\n27993 41825\n82640 100000\n96883 100000\n87114 100000\n26467 39561\n86117 100000\n1812 2725\n9874 14810\n42787 64020\n30260 45228\n65407 98106\n22326 33363\n21187 31677\n73020 100000\n42876 64152\n67081 100000\n67181 100000\n62603 93912\n87630 100000\n69456 100000\n63536 95295\n50847 76171\n45793 68545\n26019 38881\n33272 49740\n13554 20311\n40591 60751\n72885 100000\n47703 71436\n65561 98340\n52529 78731\n50802 76101\n6095 9128\n23559 35227\n94026 100000\n14962 22400\n67805 100000\n11966 17946\n54304 81399\n39313 58841\n37595 56211\n14955 22391\n90992 100000\n37571 56176\n66041 99070\n2026 3050\n98247 100000\n88524 100000\n37886 56661\n5429 8142\n329 492\n62173 93284\n77176 100000\n49757 74547\n21952 32812\n40324 60344\n48471 72582\n12358 18534\n9679 14516\n46380 69434\n77001 100000\n52047 78000\n52051 78007\n30335 45343\n46456 69556\n91014 100000\n39066 58461\n36457 54512\n9750 14628\n66718 100000\n97493 100000\n25150 37572\n30511 45606\n47667 71380\n44110 66014\n73217 100000\n8948 13420\n9277 13919\n17837 26683\n10242 15369\n94175 100000\n28371 42393\n68770 100000\n60519 90785\n52912 79300\n55739 83565\n60349 90527\n5433 8148\n70568 100000\n70697 100000\n38737 57965\n65272 97904\n63624 95431\n37413 55942\n81693 100000\n67835 100000\n72062 100000\n65943 98917\n80642 100000\n11230 16835\n18754 28054\n88024 100000\n82582 100000\n44683 66870\n78145 100000\n71887 100000\n12184 18275\n67854 100000\n99598 100000\n19664 29401\n64296 96430\n65993 98995\n50860 76193\n38009 56844\n20256 30297\n34143 51031\n30214 45159\n50203 75211\n83017 100000\n57466 86177\n80863 100000\n35221 52649\n75732 100000\n90348 100000\n70720 100000\n40907 61223\n84126 100000\n8658 12967\n31241 46710\n24089 36027\n4834 7273\n37414 55944\n27101 40501\n20389 30492\n5062 7602\n34300 51267\n3416 5145\n1933 2908\n63822 95721\n84890 100000\n48761 73022\n90404 100000\n47621 71311\n81044 100000\n60395 90591\n1972 2967\n43287 64768\n99728 100000\n40306 60315\n93634 100000\n19232 28756\n30761 45991\n93827 100000\n10922 16379\n36568 54677\n14877 22275\n11856 17775\n84625 100000\n94130 100000\n54654 81936\n52897 79276\n27788 41517\n48718 72961\n81934 100000\n14601 21861\n25630 38284\n96060 100000\n33884 50635\n64897 97333\n83598 100000\n38377 57411\n50626 75847\n20091 30041\n71063 100000\n44075 65961\n87610 100000\n8849 13264\n51103 76564\n34108 50981\n77967 100000\n52581 78814\n50758 76035\n54253 81329\n24303 36339\n5256 7892\n70813 100000\n10906 16354\n37131 55522\n5242 7873\n17592 26316\n34011 50829\n41528 62146\n6012 9003\n60200 90301\n50593 75804\n37412 55941\n17363 25979\n88930 100000\n69429 100000\n16969 25382\n69412 100000\n35884 53640\n22808 34103\n96115 100000\n99038 100000\n4551 6843\n34003 50819\n25216 37669\n57854 86774\n24893 37199\n99236 100000\n48740 72992\n97636 100000\n52104 78090\n75297 100000\n93741 100000\n24040 35955\n94331 100000\n57994 86985\n64874 97299\n51968 77881\n41986 62810\n505 766\n16423 24577\n21648 32365\n10714 16076\n68989 100000\n80965 100000\n26412 39479\n82419 100000\n65471 98207\n94714 100000\n25521 38129\n42250 63213\n38283 57269\n25738 38452\n28768 42980\n95686 100000\n46822 70108\n20530 30709\n14196 21266\n47265 70770\n11375 17056\n22704 33946\n80765 100000\n84877 100000\n9464 14199\n50791 76084\n3788 5696\n88512 100000\n97304 100000\n72655 100000\n90085 100000\n99225 100000\n96044 100000\n22903 34246\n11278 16910\n21758 32532\n13349 20006\n71890 100000\n18593 27813\n9998 14994\n62358 93560\n43709 65405\n45020 67371\n22284 33300\n85809 100000\n20947 31310\n35248 52689\n68999 100000\n22630 33833\n7668 11480\n36690 54845\n56719 85025\n87175 100000\n20714 30973\n69223 100000\n62444 93675\n72567 100000\n56579 84816\n96222 100000\n2604 3927\n32316 48325\n12200 18302\n17721 26508\n92352 100000\n41793 62530\n40531 60663\n96443 100000\n24823 37094\n75312 100000\n23317 34867\n47228 70710\n48984 73359\n24892 37197\n99112 100000\n28582 42692\n92212 100000\n35179 52585\n92775 100000\n32894 49180\n49406 74018\n54079 81070\n16767 25079\n54631 81898\n9570 14349\n45219 67673\n54403 81552\n12248 18372\n514 780\n63614 95416\n43019 64362\n42327 63337\n9855 14783\n74001 100000\n71518 100000\n24177 36155\n11629 17433\n47886 71715\n28838 43092\n18586 27803\n58060 87082\n76275 100000\n88991 100000\n98857 100000\n48594 72778\n2737 4126\n54891 82294\n11693 17533\n45443 68012\n31546 47172\n39463 59060\n50496 75658\n86732 100000\n87574 100000\n15668 23467\n11556 17324\n69849 100000\n15960 23897\n50132 75104\n35309 52784\n42567 63689\n27506 41096\n21490 32127\n71589 100000\n28519 42599\n80644 100000\n14976 22420\n87209 100000\n94101 100000\n64567 96840\n35692 53361\n10397 15600\n92176 100000\n63925 95876\n63026 94541\n56418 84581\n66031 99052\n92915 100000\n56258 84327\n46596 69765\n65005 97494\n10499 15754\n72214 100000\n9964 14944\n12250 18374\n13154 19710\n52568 78797\n85498 100000\n96746 100000\n31649 47334\n1049 1605\n91177 100000\n83618 100000\n86315 100000\n75081 100000\n66575 99892\n4974 7473\n49053 73466\n27019 40377\n10886 16324\n98393 100000\n7919 11856\n20231 30256\n28095 41980\n83470 100000\n92050 100000\n56566 84797\n84262 100000\n12443 18662\n29408 43927\n81870 100000\n71194 100000\n85823 100000\n52151 78161\n61504 92268\n12386 18577\n37911 56703\n6985 10448\n82854 100000\n77816 100000\n47099 70517\n63764 95639\n45442 68010\n66377 99581\n50599 75811\n71077 100000\n31509 47116\n77884 100000\n27629 41285\n10394 15596\n19894 29743\n39811 59588\n53484 80164\n71137 100000\n45801 68557\n56772 85100\n97011 100000\n80507 100000\n87950 100000\n88660 100000\n18076 27054\n80831 100000\n76321 100000\n75128 100000\n63663 95491\n71028 100000\n67936 100000\n74270 100000\n32932 49236\n30157 45069\n21424 32025\n2893 4362\n53127 79624\n72393 100000\n71229 100000\n48768 73032\n78 118\n4863 7315\n97798 100000\n8669 12985\n92789 100000\n57257 85857\n51643 77381\n20942 31303\n76016 100000\n86922 100000\n88951 100000\n29970 44795\n87579 100000\n29941 44753\n53210 79742\n50948 76330\n44142 66059\n65041 97551\n5108 7671\n1296 1970\n93362 100000\n59312 88948\n64474 96689\n27956 41771\n41963 62779\n23374 34952\n22814 34111\n59683 89516\n21399 31988\n87771 100000\n19275 28823\n54425 81583\n38767 58007\n48269 72285\n39262 58769\n93707 100000\n99767 100000\n90686 100000\n71450 100000\n14643 21918\n67637 100000\n77738 100000\n45249 67724\n27845 41604\n96414 100000\n37259 55715\n39401 58966\n66569 99884\n85479 100000\n13014 19507\n29171 43583\n15845 23723\n9158 13740\n41429 62004\n38961 58303\n28022 41871\n55323 82937\n72237 100000\n22691 33925\n70919 100000\n79551 100000\n45824 68591\n51491 77153\n68648 100000\n15200 22753\n2020 3039\n26119 39035\n18710 27989\n41665 62348\n87678 100000\n46683 69900\n99475 100000\n86420 100000\n59428 89131\n2854 4303\n57747 86610\n92179 100000\n24505 36624\n68465 100000\n59230 88825\n32364 48395\n98349 100000\n86134 100000\n36215 54142\n20891 31227\n16017 23987\n59490 89224\n11561 17331\n85096 100000\n16153 24187\n2142 3229\n37166 55576\n21697 32440\n5967 8931\n2808 4234\n25445 38019\n95406 100000\n29511 44081\n65110 97653\n18519 27710\n94261 100000\n87688 100000\n37746 56447\n72858 100000\n66233 99361\n69120 100000\n96663 100000\n98352 100000\n62077 93137\n85615 100000\n55772 83614\n13385 20060\n34941 52237\n84483 100000\n14756 22088\n209 317\n43396 64931\n4986 7493\n95840 100000\n15857 23741\n51731 77517\n20005 29908\n49026 73422\n66858 100000\n71148 100000\n90340 100000\n10190 15287\n55948 83873\n19450 29086\n71767 100000\n61810 92722\n83950 100000\n79405 100000\n4564 6863\n88454 100000\n73966 100000\n20169 30162\n6893 10308\n22574 33747\n6836 10228\n53531 80236\n6799 10169\n10973 16457\n90301 100000\n9029 13544\n2445 3691\n732 1114\n19986 29881\n49128 73585\n5257 7893\n40264 60250\n10564 15854\n53969 80896\n94413 100000\n84916 100000\n80512 100000\n16447 24610\n82855 100000\n50390 75494\n4329 6507\n24938 37265\n76718 100000\n17526 26219\n65348 98018\n96871 100000\n34273 51225\n19977 29867\n17591 26314\n69144 100000\n74761 100000\n80636 100000\n85292 100000\n31969 47802\n87866 100000\n33196 49629\n92234 100000\n6932 10367\n93841 100000\n24257 36275\n88704 100000\n53552 80268\n18396 27526\n60846 91272\n49419 74037\n98888 100000\n57784 86670\n517 785\n39758 59505\n42844 64103\n34430 51462\n76113 100000\n69617 100000\n82210 100000\n85111 100000\n98927 100000\n50760 76037\n33856 50594\n61847 92780\n39779 59538\n17144 25645\n24030 35941\n65913 98870\n37007 55331\n95729 100000\n94313 100000\n6585 9844\n6163 9224\n81846 100000\n25526 38136\n49152 73624\n57249 85845\n59732 89589\n95846 100000\n43570 65194\n37856 56615\n54994 82456\n38299 57296\n10115 15174\n45084 67467\n95441 100000\n4260 6408\n6058 9070\n86494 100000\n37825 56570\n18619 27851\n20517 30691\n69436 100000\n70932 100000\n3483 5248\n7770 11631\n46706 69932\n147 221\n82436 100000\n28735 42931\n97240 100000\n25203 37651\n31779 47521\n19303 28862\n65092 97625\n49517 74184\n96821 100000\n61101 91649\n13870 20772\n18265 27330\n61932 92911\n2054 3095\n11441 17155\n51525 77205\n60750 91128\n9908 14861\n73661 100000\n12480 18710\n78963 100000\n84231 100000\n30716 45919\n19623 29335\n24663 36861\n34125 51003\n45532 68148\n42722 63923\n41662 62343\n41603 62258\n75219 100000\n72812 100000\n33546 50141\n91419 100000\n3285 4950\n47491 71118\n66345 99531\n22535 33687\n2094 3159\n94766 100000\n90300 100000\n12018 18026\n21736 32498\n27230 40683\n56994 85440\n10591 15893\n96134 100000\n3756 5648\n95852 100000\n95342 100000\n9757 14639\n91767 100000\n18705 27983\n89432 100000\n10262 15401\n48348 72403\n78235 100000\n15556 23293\n7038 10524\n48384 72454\n7171 10729\n14389 21549\n52703 78997\n66502 99775\n25424 37991\n60400 90599\n78731 100000\n78163 100000\n48763 73024\n71635 100000\n88763 100000\n16209 24271\n59271 88881\n37363 55868\n9226 13850\n50690 75937\n46080 68980\n52231 78275\n86439 100000\n92197 100000\n73268 100000\n56284 84370\n1238 1883\n17555 26262\n61599 92404\n60298 90451\n10244 15372\n8743 13099\n22368 33426\n95859 100000\n89879 100000\n85324 100000\n81739 100000\n46924 70256\n84915 100000\n50991 76392\n59738 89598\n2550 3843\n11918 17873\n87677 100000\n91619 100000\n97946 100000\n47387 70964\n16616 24856\n66789 100000\n10203 15305\n35834 53569\n87860 100000\n52144 78152\n59960 89939\n21040 31460\n3065 4619\n93806 100000\n52540 78750\n5977 8945\n66413 99641\n10070 15107\n45300 67800\n60815 91225\n8579 12840\n76211 100000\n96312 100000\n58790 88173\n36451 54505\n37227 55670\n9730 14595\n73889 100000\n91236 100000\n92871 100000\n7747 11596\n28168 42094\n91951 100000\n89190 100000\n9632 14440\n27876 41651\n42075 62948\n67921 100000\n26413 39481\n3143 4740\n32249 48226\n7816 11699\n50759 76036\n18110 27102\n15690 23500\n17756 26562\n23726 35477\n46967 70319\n40950 61289\n15995 23953\n12915 19361\n57689 86518\n8897 13335\n52308 78404\n64003 95996\n97727 100000\n80273 100000\n1385 2100\n53863 80735\n28174 42104\n26976 40313\n2860 4311\n40851 61139\n25925 38735\n98187 100000\n76895 100000\n69516 100000\n49555 74244\n24926 37246\n40673 60872\n48275 72293\n65713 98571\n42944 64256\n5731 8586\n10726 16093\n59367 89030\n28274 42254\n80253 100000\n58686 88020\n93509 100000\n65494 98242\n48709 72948\n8889 13323\n38320 57323\n81954 100000\n4425 6648\n56810 85160\n96780 100000\n45138 67550\n65148 97712\n22675 33902\n69881 100000\n77153 100000\n80667 100000\n49857 74696\n33136 49544\n93314 100000\n82376 100000\n13550 20306\n58481 87716\n55675 83463\n86950 100000\n4625 6956\n96063 100000\n6713 10043\n64679 97007\n5627 8433\n43851 65623\n82387 100000\n70144 100000\n72928 100000\n37728 56422\n97651 100000\n22952 34315\n32800 49042\n36021 53848\n23004 34390\n92003 100000\n65876 98814\n46850 70151\n87227 100000\n9338 14010\n42524 63623\n44830 67082\n92459 100000\n96832 100000\n51122 76593\n38123 57021\n77598 100000\n98928 100000\n20221 30240\n10782 16174\n56708 85006\n47155 70607\n72731 100000\n86137 100000\n44960 67280\n28049 41912\n30081 44958\n2642 3981\n37190 55614\n29246 43698\n36310 54287\n85434 100000\n74422 100000\n71609 100000\n7678 11494\n99675 100000\n84406 100000\n33188 49620\n64335 96492\n73005 100000\n98715 100000\n55639 83410\n51 73\n44327 66341\n14629 21900\n47734 71484\n25856 38632\n99591 100000\n38663 57855\n60201 90303\n32190 48138\n38113 57007\n97893 100000\n615 936\n64576 96855\n60311 90470\n17321 25918\n13929 20861\n37077 55443\n37078 55445\n34206 51129\n70973 100000\n28797 43024\n96851 100000\n72936 100000\n19178 28675\n37095 55469\n12821 19219\n220 332\n14371 21524\n56488 84684\n86502 100000\n78410 100000\n78675 100000\n2967 4471\n63608 95406\n99833 100000\n89870 100000\n15451 23133\n5115 7680\n70980 100000\n42380 63418\n57862 86784\n40331 60356\n22880 34211\n81137 100000\n50432 75556\n17616 26354\n42636 63793\n10943 16413\n35133 52518\n68925 100000\n17982 26913\n74736 100000\n47736 71487\n24111 36061\n53881 80765\n30769 46002\n70085 100000\n14548 21789\n92285 100000\n85366 100000\n82327 100000\n15645 23430\n30513 45608\n26832 40093\n51620 77350\n58892 88323\n29971 44796\n78932 100000\n6345 9499\n49751 74538\n78381 100000\n64172 96250\n74234 100000\n2740 4130\n96549 100000\n4376 6576\n29619 44248\n57807 86706\n93401 100000\n80645 100000\n72618 100000\n79120 100000\n81715 100000\n29033 43383\n64983 97458\n63262 94893\n75438 100000\n10219 15333\n32289 48284\n85637 100000\n99822 100000\n25326 37837\n66492 99761\n29908 44701\n75163 100000\n70772 100000\n37751 56453\n44536 66650\n26535 39663\n24029 35939\n92195 100000\n64727 97082\n87365 100000\n91109 100000\n53505 80197\n79706 100000\n60710 91067\n35827 53557\n77093 100000\n71664 100000\n72804 100000\n62229 93369\n5602 8399\n31388 46933\n81960 100000\n90513 100000\n9173 13765\n25280 37769\n66905 100000\n51350 76939\n12535 18793\n98473 100000\n84031 100000\n68289 100000\n54340 81454\n71602 100000\n85394 100000\n7886 11807\n95625 100000\n73349 100000\n89247 100000\n37377 55888\n19930 29792\n51394 77009\n14593 21850\n54577 81811\n68410 100000\n28756 42962\n95373 100000\n88864 100000\n50764 76043\n7394 11067\n42329 63339\n90932 100000\n81176 100000\n97750 100000\n62314 93495\n32428 48486\n32744 48956\n85541 100000\n24374 36439\n42931 64236\n51028 76450\n26280 39286\n45083 67465\n92390 100000\n96285 100000\n98364 100000\n5101 7661\n18515 27704\n84957 100000\n69722 100000\n95631 100000\n31598 47249\n50546 75732\n45278 67768\n54984 82441\n52728 79032\n81220 100000\n45178 67614\n31251 46725\n690 1048\n55442 83113\n78378 100000\n12886 19318\n7566 11330\n56291 84382\n91042 100000\n87802 100000\n47007 70379\n42564 63684\n28285 42269\n56037 84004\n77696 100000\n25827 38588\n70739 100000\n26974 40310\n4973 7471\n88095 100000\n1099 1680\n52264 78333\n37840 56591\n29186 43605\n89601 100000\n6738 10080\n63274 94909\n68881 100000\n27713 41402\n14844 22225\n90954 100000\n58641 87955\n20329 30402\n25506 38108\n77349 100000\n46112 69026\n82440 100000\n5301 7955\n68332 100000\n2792 4210\n22110 33049\n28895 43179\n41623 62285\n25619 38271\n27875 41650\n9281 13925\n84794 100000\n42031 62881\n36182 54091\n13749 20589\n28697 42880\n79132 100000\n22805 34098\n30835 46099\n63005 94511\n79451 100000\n66726 100000\n89509 100000\n94706 100000\n66548 99851\n63727 95587\n13397 20077\n59851 89765\n19111 28576\n2948 4439\n45879 68677\n70060 100000\n57432 86122\n74184 100000\n58754 88121\n64543 96803\n21136 31600\n54725 82044\n46238 69218\n797 1210\n11515 17267\n99128 100000\n22615 33811\n18381 27506\n69791 100000\n40504 60620\n69797 100000\n10514 15773\n52715 79015\n85228 100000\n83070 100000\n34855 52105\n80764 100000\n90868 100000\n71141 100000\n14555 21800\n37267 55727\n82990 100000\n65086 97617\n56475 84665\n89968 100000\n73850 100000\n27923 41723\n55620 83384\n47395 70976\n41530 62149\n81189 100000\n79259 100000\n14067 21065\n25006 37356\n25617 38267\n761 1161\n85534 100000\n8451 12650\n48257 72269\n74617 100000\n33888 50639\n25945 38764\n61036 91552\n65386 98075\n42144 63057\n16314 24423\n59494 89230\n99841 100000\n70929 100000\n9115 13675\n39828 59614\n97349 100000\n16940 25337\n66145 99230\n73416 100000\n30714 45916\n80007 100000\n67413 100000\n81629 100000\n84973 100000\n92093 100000\n3222 4857\n20819 31126\n13720 20547\n24815 37082\n41223 61700\n84186 100000\n44804 67044\n68967 100000\n39681 59392\n22030 32927\n8514 12744\n72912 100000\n20281 30329\n43800 65547\n79503 100000\n64347 96510\n78757 100000\n92754 100000\n5803 8687\n48688 72917\n57901 86843\n40445 60531\n33475 50040\n41141 61576\n84293 100000\n54947 82381\n2355 3552\n19887 29732\n23516 35170\n54444 81616\n43794 65538\n96106 100000\n65473 98211\n26756 39984\n14642 21917\n23515 35169\n81448 100000\n88062 100000\n63640 95454\n8494 12717\n44132 66047\n74646 100000\n44623 66784\n84188 100000\n68658 100000\n69370 100000\n24215 36214\n25467 38049\n63802 95693\n46744 69986\n79095 100000\n40844 61128\n11584 17365\n54689 81987\n8783 13162\n58391 87585\n65601 98402\n33751 50439\n53897 80789\n17431 26080\n84256 100000\n27541 41148\n84868 100000\n95721 100000\n24934 37259\n55172 82721\n74456 100000\n7752 11603\n85785 100000\n93227 100000\n65408 98108\n74763 100000\n33596 50220\n51855 77716\n2652 3996\n10716 16079\n58651 87968\n95514 100000\n58279 87411\n3449 5193\n15193 22744\n67323 100000\n51780 77597\n39011 58380\n16218 24284\n72814 100000\n67448 100000\n43929 65749\n38922 58241\n28314 42312\n56124 84135\n18717 27999\n5419 8127\n7844 11741\n3149 4746\n12021 18031\n76499 100000\n60554 90835\n49990 74888\n55676 83465\n81182 100000\n76167 100000\n47163 70618\n12738 19096\n58821 88219\n85377 100000\n15080 22574\n48087 72014\n39882 59694\n40885 61190\n55988 83930\n26441 39522\n55161 82706\n11477 17210\n54676 81967\n78853 100000\n73148 100000\n97581 100000\n76714 100000\n31316 46827\n60594 90893\n34371 51372\n54856 82240\n78181 100000\n22280 33293\n80625 100000\n71556 100000\n6886 10299\n99588 100000\n82020 100000\n11031 16539\n65777 98669\n98155 100000\n50886 76231\n586 891\n54003 80949\n85967 100000\n70571 100000\n97178 100000\n56757 85079\n65488 98233\n54831 82204\n70126 100000\n14843 22223\n99202 100000\n16123 24146\n12127 18195\n3335 5017\n20428 30556\n32890 49173\n20611 30822\n23684 35415\n96635 100000\n85418 100000\n57522 86263\n78232 100000\n85012 100000\n94238 100000\n77736 100000\n11377 17059\n21212 31715\n89361 100000\n549 833\n52134 78139\n26999 40346\n75374 100000\n91704 100000\n53102 79584\n41487 62084\n57426 86112\n47379 70950\n40726 60948\n84059 100000\n74895 100000\n90394 100000\n58399 87600\n47532 71186\n40715 60930\n90471 100000\n65677 98515\n17086 25558\n92 140\n56020 83977\n22683 33914\n77422 100000\n84170 100000\n27681 41356\n99872 100000\n94965 100000\n29160 43568\n7468 11183\n20185 30183\n30259 45227\n55411 83066\n69140 100000\n12114 18176\n20795 31091\n95160 100000\n50848 76173\n37918 56712\n33906 50667\n22202 33182\n49946 74825\n69477 100000\n45091 67478\n47384 70958\n84448 100000\n13288 19911\n38845 58123\n55174 82723\n20181 30178\n10572 15866\n12419 18623\n63742 95607\n62485 93732\n77868 100000\n9106 13663\n94010 100000\n37532 56118\n75419 100000\n99720 100000\n64247 96361\n87062 100000\n26637 39811\n99839 100000\n33487 50058\n69875 100000\n53922 80826\n10924 16382\n30741 45961\n63161 94738\n83000 100000\n151 227\n55489 83178\n52914 79304\n93562 100000\n67990 100000\n51719 77499\n58047 87061\n71908 100000\n24384 36452\n89849 100000\n71006 100000\n92081 100000\n16673 24939\n46958 70303\n82703 100000\n46395 69458\n63350 95030\n8505 12732\n6579 9834\n95472 100000\n7790 11661\n29130 43521\n16281 24376\n58780 88159\n45059 67429\n6568 9815\n45039 67400\n50501 75665\n66371 99570\n79087 100000\n57004 85458\n62106 93182\n18587 27805\n84800 100000\n11606 17399\n56695 84987\n50028 74947\n3426 5159\n4568 6868\n14007 20981\n25431 37999\n80256 100000\n2819 4251\n35841 53579\n21805 32602\n32731 48935\n27373 40897\n8532 12771\n43575 65202\n37555 56147\n9478 14219\n39730 59468\n73944 100000\n51046 76478\n81718 100000\n81106 100000\n57181 85739\n12762 19133\n88673 100000\n84345 100000\n83407 100000\n70822 100000\n48890 73213\n61614 92425\n33313 49799\n24550 36692\n46406 69475\n37941 56742\n80837 100000\n17212 25757\n31901 47701\n22488 33612\n1356 2059\n49060 73477\n46414 69486\n51611 77338\n81383 100000\n98728 100000\n61073 91609\n85086 100000\n1377 2089\n36095 53967\n36207 54131\n96199 100000\n48662 72876\n7874 11787\n39822 59605\n41880 62657\n80977 100000\n65220 97826\n70497 100000\n71812 100000\n64821 97219\n97690 100000\n43516 65111\n25360 37889\n94865 100000\n22680 33910\n73587 100000\n42472 63548\n75952 100000\n62798 94198\n18005 26950\n34800 52027\n21978 32850\n70807 100000\n77548 100000\n79210 100000\n90777 100000\n13953 20897\n88205 100000\n83719 100000\n12694 19029\n54541 81759\n32201 48158\n81415 100000\n27467 41036\n29759 44471\n39885 59698\n93238 100000\n5493 8234\n99207 100000\n98905 100000\n56732 85044\n66926 100000\n92128 100000\n73735 100000\n19282 28832\n1138 1739\n83205 100000\n8267 12373\n92757 100000\n85188 100000\n6960 10406\n86506 100000\n18190 27218\n19352 28932\n11742 17604\n72534 100000\n51434 77071\n10775 16165\n934 1427\n18714 27995\n75994 100000\n54093 81089\n94176 100000\n64193 96281\n80176 100000\n21523 32181\n22656 33875\n24895 37202\n28563 42664\n71208 100000\n94649 100000\n39027 58402\n37618 56246\n99730 100000\n2837 4277\n86200 100000\n98645 100000\n2981 4492\n65153 97721\n42833 64086\n96376 100000\n70459 100000\n97067 100000\n76092 100000\n62975 94464\n69676 100000\n43073 64442\n71400 100000\n84240 100000\n66015 99028\n41444 62025\n9508 14259\n3513 5290\n6674 9982\n94716 100000\n38434 57500\n8961 13437\n9846 14772\n47581 71258\n59961 89940\n20082 30029\n70118 100000\n36369 54382\n1552 2350\n32794 49033\n90620 100000\n98574 100000\n73495 100000\n64194 96283\n38980 58332\n90341 100000\n19604 29306\n19913 29769\n89700 100000\n72286 100000\n78071 100000\n99420 100000\n73220 100000\n42741 63956\n46604 69777\n26618 39785\n503 762\n26339 39375\n4563 6861\n17818 26652\n34803 52032\n83336 100000\n65237 97854\n44307 66308\n22855 34170\n13220 19809\n60835 91256\n43462 65028\n31297 46795\n35253 52698\n92561 100000\n4608 6929\n30763 45995\n49263 73802\n87704 100000\n58831 88232\n97420 100000\n45213 67663\n95598 100000\n36759 54948\n76655 100000\n11846 17760\n46525 69661\n53203 79731\n82361 100000\n51952 77862\n46888 70205\n78586 100000\n64060 96081\n61445 92178\n48706 72942\n69339 100000\n33001 49338\n44594 66742\n59767 89643\n38647 57833\n89359 100000\n26452 39538\n20130 30105\n30291 45276\n8718 13063\n20023 29933\n94527 100000\n97796 100000\n58082 87114\n63287 94931\n43557 65174\n34766 51980\n6252 9354\n63799 95689\n84058 100000\n97383 100000\n28145 42056\n28403 42435\n91549 100000\n80960 100000\n5314 7974\n79770 100000\n34027 50854\n96581 100000\n41611 62267\n6632 9924\n55373 83012\n50194 75197\n106 164\n64161 96231\n22211 33193\n71832 100000\n63169 94752\n37862 56623\n71945 100000\n2677 4036\n11229 16833\n5582 8370\n38522 57636\n92997 100000\n25379 37923\n92328 100000\n55439 83108\n32742 48953\n68631 100000\n26805 40055\n10233 15356\n96195 100000\n20564 30758\n34705 51889\n91397 100000\n78045 100000\n33972 50770\n37461 56013\n95384 100000\n63628 95437\n85054 100000\n28062 41931\n32031 47900\n88052 100000\n98878 100000\n18864 28216\n64650 96966\n32915 49212\n56424 84588\n8413 12592\n10107 15163\n10877 16309\n8414 12593\n44341 66362\n28978 43300\n94152 100000\n87394 100000\n18082 27061\n43172 64593\n85906 100000\n31949 47773\n31445 47018\n71391 100000\n57593 86370\n66348 99537\n1869 2812\n89519 100000\n85341 100000\n78739 100000\n11833 17738\n87796 100000\n23359 34931\n703 1067\n47284 70797\n64697 97035\n16934 25329\n79453 100000\n53104 79587\n93642 100000\n78168 100000\n17145 25647\n94234 100000\n27977 41801\n64220 96322\n86220 100000\n16127 24151\n21938 32792\n50844 76166\n56730 85041\n98277 100000\n81054 100000\n68430 100000\n69909 100000\n90651 100000\n24462 36564\n68398 100000\n33428 49963\n29267 43728\n85393 100000\n59666 89493\n28594 42713\n48538 72686\n96433 100000\n56446 84620\n6819 10201\n80942 100000\n87267 100000\n47696 71423\n89520 100000\n5300 7953\n25518 38125\n54528 81737\n83763 100000\n66633 99981\n97307 100000\n33236 49688\n98885 100000\n12470 18697\n74045 100000\n16820 25155\n54047 81020\n91450 100000\n52706 79001\n83931 100000\n95938 100000\n76617 100000\n66962 100000\n51776 77591\n7739 11586\n53718 80528\n33573 50187\n9059 13592\n71066 100000\n12784 19165\n88672 100000\n45819 68582\n52233 78279\n19691 29439\n17951 26869\n47588 71267\n48764 73026\n91712 100000\n14796 22147\n77459 100000\n74799 100000\n92505 100000\n45074 67451\n144 216\n1580 2395\n61834 92762\n4660 7007\n50449 75584\n52003 77938\n59109 88638\n51334 76916\n501 758\n23064 34485\n74416 100000\n8962 13438\n30846 46114\n27626 41280\n96501 100000\n71934 100000\n50581 75787\n28237 42202\n50806 76108\n22467 33582\n72833 100000\n75688 100000\n53835 80691\n87159 100000\n35307 52781\n93101 100000\n36287 54251\n91520 100000\n13477 20193\n40835 61115\n34429 51460\n27897 41684\n48582 72756\n90213 100000\n87384 100000\n2574 3881\n47516 71158\n15501 23210\n63762 95636\n9627 14432\n28977 43298\n86623 100000\n62472 93715\n32558 48684\n9318 13982\n4980 7483\n38848 58128\n78609 100000\n70091 100000\n32456 48528\n29331 43814\n64903 97342\n66420 99654\n44002 65852\n2626 3961\n6664 9969\n41314 61837\n32630 48789\n94533 100000\n21681 32411\n74267 100000\n11982 17972\n70025 100000\n94994 100000\n74592 100000\n76560 100000\n20993 31382\n23963 35838\n58137 87194\n76552 100000\n18629 27864\n20507 30679\n21141 31606\n49499 74157\n78038 100000\n42914 64211\n26398 39460\n8908 13351\n77434 100000\n49606 74325\n74328 100000\n55354 82984\n38685 57886\n84935 100000\n10551 15830\n8812 13207\n84608 100000\n29307 43779\n81125 100000\n22559 33726\n18682 27948\n67517 100000\n12728 19081\n17451 26108\n6973 10427\n80366 100000\n61986 92992\n71621 100000\n642 978\n51218 76733\n78721 100000\n7113 10638\n95315 100000\n35432 52969\n91187 100000\n38527 57644\n75353 100000\n47784 71561\n94849 100000\n83003 100000\n27336 40844\n86993 100000\n42345 63364\n97975 100000\n26255 39246\n94488 100000\n29641 44287\n34681 51852\n33846 50578\n36256 54202\n78986 100000\n77768 100000\n54009 80958\n29598 44214\n81604 100000\n66840 100000\n33432 49969\n92378 100000\n57163 85710\n5455 8179\n6763 10120\n13764 20614\n38889 58189\n62489 93737\n17111 25594\n57489 86208\n44561 66686\n35964 53759\n15331 22951\n70383 100000\n56425 84590\n17565 26275\n32017 47878\n97274 100000\n85455 100000\n58656 87977\n67051 100000\n47887 71716\n26199 39157\n15279 22875\n89268 100000\n73008 100000\n47471 71089\n64031 96037\n70508 100000\n26306 39324\n38235 57197\n64237 96345\n77903 100000\n1669 2525\n84866 100000\n99028 100000\n58298 87439\n7187 10755\n7528 11277\n92430 100000\n65055 97572\n52875 79246\n42742 63958\n20148 30130\n15912 23824\n66287 99449\n30517 45615\n71834 100000\n93795 100000\n92795 100000\n27424 40973\n74712 100000\n87194 100000\n72561 100000\n23893 35731\n95410 100000\n73033 100000\n56147 84170\n46628 69814\n59414 89106\n45330 67845\n9926 14889\n46808 70085\n22846 34156\n70905 100000\n40122 60045\n46556 69706\n83865 100000\n80189 100000\n96707 100000\n564 857\n78337 100000\n99386 100000\n75583 100000\n62551 93833\n21746 32514\n13975 20932\n78011 100000\n95511 100000\n5862 8771\n1889 2845\n66818 100000\n98359 100000\n42391 63436\n74157 100000\n64009 96005\n29792 44521\n35545 53133\n37982 56803\n94431 100000\n52331 78434\n48223 72219\n17836 26681\n8686 13011\n76173 100000\n19813 29617\n32183 48127\n63279 94919\n1182 1803\n97419 100000\n42423 63480\n75266 100000\n7005 10480\n69093 100000\n92121 100000\n10824 16232\n46036 68916\n61669 92508\n56653 84928\n51924 77816\n25509 38112\n4683 7042\n63972 95953\n23337 34899\n39937 59772\n41795 62533\n84689 100000\n48405 72484\n12266 18396\n37783 56502\n20981 31364\n42747 63963\n89711 100000\n57022 85484\n3585 5390\n20078 30023\n83928 100000\n22767 34045\n78140 100000\n17602 26332\n62260 93415\n65927 98894\n83394 100000\n79687 100000\n94631 100000\n24204 36198\n64931 97385\n55892 83785\n91215 100000\n61395 92107\n24071 36003\n17647 26401\n76442 100000\n11293 16932\n17233 25784\n23707 35448\n79584 100000\n71645 100000\n38154 57070\n43282 64761\n82175 100000\n19348 28926\n67408 100000\n4271 6423\n85223 100000\n35071 52429\n25441 38013\n35698 53370\n1257 1912\n61460 92197\n68954 100000\n23124 34579\n21807 32605\n19723 29487\n32010 47870\n44761 66985\n32345 48370\n1178 1798\n38356 57377\n39157 58595\n65338 98002\n70456 100000\n3995 6023\n63307 94962\n32813 49064\n53551 80266\n89606 100000\n94388 100000\n33647 50289\n76007 100000\n68002 100000\n96094 100000\n36538 54636\n89860 100000\n89760 100000\n40521 60646\n48657 72868\n56922 85331\n93618 100000\n35124 52506\n17250 25810\n62157 93259\n91828 100000\n605 921\n46792 70060\n81504 100000\n3363 5060\n81722 100000\n84785 100000\n74074 100000\n63223 94830\n26814 40069\n49571 74270\n96543 100000\n31431 46996\n93176 100000\n32036 47907\n28695 42876\n12900 19339\n68494 100000\n96876 100000\n26740 39961\n37211 55645\n68822 100000\n29550 44141\n26702 39902\n66577 99896\n55452 83129\n56545 84770\n8850 13266\n880 1342\n51879 77749\n69973 100000\n95094 100000\n74081 100000\n97973 100000\n31370 46904\n67299 100000\n1843 2772\n92969 100000\n52922 79315\n15144 22668\n56586 84825\n46640 69834\n36334 54326\n43 60\n14042 21029\n69712 100000\n12936 19390\n28470 42531\n23449 35070\n90405 100000\n68433 100000\n86743 100000\n42756 63976\n58727 88083\n6990 10457\n94942 100000\n52640 78899\n70679 100000\n55222 82790\n96154 100000\n3670 5515\n14591 21847\n58427 87640\n60657 90987\n71817 100000\n44350 66376\n833 1263\n36894 55161\n49436 74064\n40648 60836\n28432 42479\n87325 100000\n63324 94987\n22412 33496\n68583 100000\n32056 47936\n62597 93903\n37975 56792\n66364 99560\n65617 98427\n38432 57497\n4240 6380\n45452 68029\n55445 83118\n24822 37093\n7255 10862\n82989 100000\n18166 27181\n72387 100000\n93897 100000\n17100 25577\n67710 100000\n82981 100000\n62056 93100\n17834 26679\n69097 100000\n85136 100000\n99083 100000\n76523 100000\n6315 9454\n41225 61703\n48059 71970\n23454 35079\n91407 100000\n6548 9789\n47365 70927\n71116 100000\n14969 22410\n49094 73532\n89682 100000\n11314 16964\n20423 30548\n23171 34644\n65025 97524\n3984 6005\n34127 51006\n29487 44046\n12510 18754\n44600 66751\n26627 39797\n12330 18494\n43756 65478\n20731 30997\n35227 52657\n20176 30172\n49014 73404\n64346 96508\n33351 49856\n33700 50364\n54410 81564\n59021 88509\n28478 42541\n76865 100000\n89403 100000\n99171 100000\n42320 63327\n4208 6335\n23802 35594\n54129 81144\n49725 74500\n21614 32314\n93536 100000\n99346 100000\n15758 23598\n7709 11540\n46719 69952\n77849 100000\n83114 100000\n66124 99198\n95669 100000\n2769 4176\n53188 79710\n71366 100000\n23693 35427\n30331 45337\n82931 100000\n5128 7699\n83220 100000\n40810 61078\n26440 39521\n35183 52591\n99557 100000\n91605 100000\n41967 62783\n53646 80419\n86120 100000\n45437 68004\n75431 100000\n67713 100000\n45771 68511\n16392 24534\n74774 100000\n92899 100000\n3774 5673\n21232 31743\n33294 49770\n26383 39437\n86094 100000\n69844 100000\n64734 97093\n40020 59891\n7004 10478\n61440 92170\n9431 14149\n57025 85488\n92251 100000\n56492 84691\n93422 100000\n83412 100000\n67030 100000\n7979 11949\n65291 97934\n27826 41577\n81402 100000\n28389 42417\n25384 37931\n27393 40928\n61894 92855\n88188 100000\n42541 63647\n78499 100000\n69832 100000\n60936 91402\n1438 2177\n46696 69917\n66363 99558\n33701 50366\n99592 100000\n69708 100000\n65331 97991\n50442 75571\n59480 89210\n2262 3411\n98412 100000\n58407 87613\n71747 100000\n65285 97925\n96446 100000\n87990 100000\n30002 44845\n78993 100000\n37992 56818\n32633 48793\n90856 100000\n53011 79447\n76335 100000\n55499 83193\n81997 100000\n37310 55787\n19340 28916\n80795 100000\n60960 91437\n55746 83575\n54657 81940\n70169 100000\n69178 100000\n86591 100000\n95676 100000\n23048 34462\n1236 1880\n19042 28469\n44793 67028\n61976 92978\n12579 18860\n44091 65984\n16584 24809\n70826 100000\n35907 53674\n3302 4970\n35059 52409\n40018 59889\n68445 100000\n63348 95027\n17783 26601\n87748 100000\n67801 100000\n29217 43653\n11400 17092\n31050 46426\n17427 26075\n23442 35057\n94185 100000\n85624 100000\n91686 100000\n21465 32091\n19135 28616\n6132 9182\n60666 91001\n16219 24285\n86366 100000\n23762 35531\n94856 100000\n11866 17789\n57974 86955\n21242 31758\n53569 80295\n70760 100000\n64830 97233\n28322 42326\n84497 100000\n46681 69896\n22433 33529\n27825 41575\n1775 2671\n56846 85214\n82084 100000\n57330 85966\n48647 72854\n66175 99279\n92496 100000\n98158 100000\n72621 100000\n39780 59540\n10032 15051\n8192 12265\n22312 33342\n53219 79756\n83112 100000\n57645 86448\n40659 60851\n16605 24841\n5845 8750\n15510 23224\n59108 88636\n79839 100000\n1649 2498\n4434 6661\n12831 19235\n93282 100000\n48354 72413\n69703 100000\n25999 38847\n2805 4230\n53408 80045\n43388 64918\n89592 100000\n75891 100000\n44659 66834\n69776 100000\n79651 100000\n91895 100000\n80807 100000\n56779 85112\n45562 68197\n30149 45056\n83572 100000\n4783 7198\n32913 49209\n98855 100000\n9828 14745\n19797 29589\n19593 29292\n4507 6775\n27178 40610\n96527 100000\n95380 100000\n63824 95724\n46853 70155\n8446 12642\n95654 100000\n90713 100000\n63439 95158\n60231 90350\n65478 98217\n17566 26277\n3972 5985\n63171 94755\n24135 36096\n16301 24406\n49463 74103\n68602 100000\n76675 100000\n28580 42688\n40817 61087\n12242 18365\n87647 100000\n12291 18436\n45109 67503\n61188 91790\n21081 31522\n59885 89819\n17597 26324\n73728 100000\n8592 12860\n48739 72991\n87334 100000\n20635 30861\n47926 71777\n87120 100000\n27390 40922\n62579 93875\n77744 100000\n75645 100000\n31419 46977\n13 19\n14410 21583\n78488 100000\n87292 100000\n98708 100000\n38443 57514\n24299 36333\n42139 63049\n53885 80771\n85112 100000\n83164 100000\n92675 100000\n55330 82949\n74853 100000\n3409 5134\n7462 11172\n70786 100000\n62940 94415\n51359 76955\n40091 59998\n43618 65274\n33682 50341\n24446 36542\n33548 50144\n84930 100000\n8001 11978\n34042 50878\n87219 100000\n86800 100000\n45145 67560\n32943 49254\n15577 23324\n77030 100000\n62033 93062\n12695 19031\n92252 100000\n39247 58745\n32597 48741\n15878 23774\n24291 36320\n77667 100000\n10672 16009\n68970 100000\n38858 58141\n87910 100000\n61396 92109\n67159 100000\n59889 89825\n93967 100000\n46793 70061\n41769 62493\n33314 49801\n94173 100000\n50119 75083\n8110 12143\n84032 100000\n6792 10159\n2773 4183\n94420 100000\n52934 79331\n13802 20670\n46321 69341\n55846 83719\n93197 100000\n86663 100000\n6916 10344\n81310 100000\n95653 100000\n61237 91869\n17553 26259\n10696 16050\n30708 45905\n52683 78965\n35588 53200\n93689 100000\n28390 42419\n30641 45801\n50332 75411\n16659 24919\n34629 51775\n23150 34615\n31095 46495\n87741 100000\n46846 70145\n85877 100000\n51312 76883\n63809 95703\n79429 100000\n20477 30630\n63617 95420\n76775 100000\n13584 20353\n31042 46413\n24284 36311\n95003 100000\n45456 68036\n20325 30395\n28812 43050\n91462 100000\n18980 28388\n46444 69538\n63951 95920\n50113 75075\n7745 11593\n66263 99410\n17792 26613\n72153 100000\n17109 25590\n58523 87783\n10216 15328\n20894 31232\n66485 99752\n69405 100000\n95239 100000\n11936 17901\n5173 7769\n30505 45600\n28974 43295\n67987 100000\n19738 29510\n19260 28800\n13250 19853\n74812 100000\n55554 83278\n54524 81731\n20332 30407\n66166 99263\n90907 100000\n14160 21211\n35274 52731\n1437 2175\n23160 34629\n63540 95301\n4245 6386\n6324 9469\n80921 100000\n28729 42922\n65811 98720\n92958 100000\n74158 100000\n91807 100000\n44349 66374\n3287 4952\n48304 72338\n74832 100000\n21484 32116\n33553 50153\n14489 21700\n15306 22919\n38457 57535\n69742 100000\n25197 37644\n63812 95708\n37702 56379\n43796 65542\n33784 50487\n37084 55455\n41958 62773\n95763 100000\n50564 75761\n23475 35112\n65547 98321\n22736 33999\n70746 100000\n65316 97968\n7361 11020\n4186 6302\n84675 100000\n8525 12760\n6768 10128\n86188 100000\n96247 100000\n44316 66322\n95521 100000\n67830 100000\n29302 43772\n87176 100000\n23049 34464\n11639 17450\n48993 73374\n88889 100000\n92549 100000\n89053 100000\n24839 37116\n59096 88618\n76492 100000\n47475 71095\n2371 3580\n77405 100000\n64848 97260\n99908 100000\n76336 100000\n65122 97673\n90388 100000\n96968 100000\n61611 92421\n90017 100000\n99530 100000\n70351 100000\n6411 9596\n43852 65624\n24013 35915\n38462 57543\n81424 100000\n18330 27424\n30817 46074\n86997 100000\n28777 42996\n22786 34072\n93381 100000\n13961 20910\n28906 43192\n84287 100000\n77516 100000\n98648 100000\n80542 100000\n74720 100000\n44489 66580\n35871 53622\n24258 36277\n20409 30524\n38223 57178\n97526 100000\n31692 47402\n53306 79886\n88747 100000\n82778 100000\n98993 100000\n40193 60154\n99858 100000\n92811 100000\n35315 52794\n90666 100000\n87874 100000\n3218 4852\n17202 25741\n66703 100000\n40432 60511\n48468 72578\n35155 52551\n18232 27280\n1829 2753\n51427 77059\n94498 100000\n96345 100000\n50118 75082\n16585 24811\n15798 23657\n30052 44916\n6421 9608\n76122 100000\n87846 100000\n8241 12335\n41013 61386\n75363 100000\n53940 80852\n77334 100000\n35987 53796\n61538 92318\n72761 100000\n69657 100000\n82117 100000\n80373 100000\n37581 56192\n79813 100000\n6577 9830\n8963 13440\n67304 100000\n95440 100000\n72278 100000\n6597 9865\n62245 93393\n27017 40374\n75560 100000\n36829 55058\n93674 100000\n94047 100000\n58620 87920\n70172 100000\n82257 100000\n67864 100000\n36476 54540\n55674 83461\n56946 85369\n10609 15918\n9525 14282\n44245 66213\n9738 14609\n63595 95384\n86802 100000\n95656 100000\n39089 58492\n43201 64638\n54277 81361\n79942 100000\n61312 91986\n48302 72335\n56716 85019\n15450 23132\n14743 22072\n60434 90656\n51597 77315\n44215 66167\n47358 70917\n68930 100000\n9529 14288\n43743 65457\n74232 100000\n77991 100000\n32119 48030\n5118 7685\n9392 14085\n3179 4793\n42652 63819\n77551 100000\n52526 78726\n41807 62551\n54274 81357\n50020 74935\n72390 100000\n26400 39462\n14267 21374\n60693 91040\n11085 16621\n76494 100000\n81763 100000\n51839 77692\n68735 100000\n65884 98826\n50998 76404\n57616 86406\n56606 84860\n53086 79562\n47157 70610\n58019 87023\n7549 11307\n7971 11936\n66212 99334\n5705 8546\n99478 100000\n60821 91234\n94066 100000\n83723 100000\n22262 33267\n81034 100000\n47788 71567\n72411 100000\n92586 100000\n33953 50740\n51961 77873\n80008 100000\n16598 24830\n93884 100000\n29574 44176\n93170 100000\n38080 56956\n32482 48564\n96394 100000\n42550 63663\n93866 100000\n80613 100000\n27650 41315\n3567 5365\n96838 100000\n37427 55964\n94788 100000\n74884 100000\n7918 11855\n71405 100000\n65854 98778\n86275 100000\n74549 100000\n12980 19460\n56283 84368\n13579 20347\n77584 100000\n42192 63128\n15869 23760\n9183 13781\n45797 68551\n71239 100000\n10386 15583\n58769 88144\n27400 40940\n1479 2242\n90514 100000\n78222 100000\n5780 8656\n66446 99691\n77990 100000\n36242 54181\n64109 96157\n68665 100000\n46830 70121\n49157 73629\n22061 32974\n94663 100000\n37691 56361\n10225 15344\n2315 3492\n24039 35954\n24631 36817\n90884 100000\n27621 41274\n70874 100000\n72518 100000\n8756 13121\n77879 100000\n36396 54427\n22300 33324\n24587 36748\n83932 100000\n79992 100000\n87658 100000\n70111 100000\n81262 100000\n27278 40755\n23760 35529\n29324 43805\n91865 100000\n91253 100000\n14187 21253\n86686 100000\n51236 76763\n60026 90041\n77317 100000\n39208 58680\n19726 29492\n18965 28367\n73908 100000\n3496 5266\n57816 86720\n32350 48375\n70163 100000\n47330 70868\n1186 1808\n59195 88770\n7899 11825\n45243 67714\n49971 74858\n33562 50168\n67711 100000\n67193 100000\n78177 100000\n48465 72573\n49755 74544\n48598 72784\n17350 25960\n55015 82489\n5798 8680\n62768 94151\n6535 9770\n10960 16438\n60309 90467\n35189 52601\n25286 37777\n51440 77078\n92583 100000\n43502 65089\n30903 46198\n7881 11798\n33427 49961\n24960 37291\n77161 100000\n8027 12018\n42710 63906\n80535 100000\n1687 2549\n83789 100000\n74070 100000\n56311 84414\n32775 49001\n24854 37138\n79319 100000\n29591 44204\n42158 63080\n86792 100000\n16361 24489\n56560 84790\n22322 33356\n29185 43603\n73769 100000\n99269 100000\n81404 100000\n37294 55764\n55855 83731\n7596 11373\n77558 100000\n67536 100000\n79492 100000\n6020 9016\n54567 81798\n35171 52574\n42613 63756\n18665 27917\n86859 100000\n15061 22548\n20886 31219\n88337 100000\n57913 86863\n15226 22791\n77308 100000\n46454 69554\n97018 100000\n16812 25143\n57233 85818\n237 359\n45310 67812\n28839 43093\n530 805\n13272 19887\n57737 86594\n47671 71385\n69615 100000\n85797 100000\n15596 23355\n14324 21458\n40512 60632\n61539 92319\n96436 100000\n82181 100000\n52019 77959\n21062 31495\n15271 22863\n75885 100000\n21457 32079\n60414 90619\n92389 100000\n21995 32875\n40146 60082\n12797 19182\n8730 13082\n76976 100000\n91152 100000\n93011 100000\n36769 54962\n41068 61468\n56462 84646\n1077 1647\n76821 100000\n38012 56848\n83302 100000\n7198 10773\n47805 71592\n49748 74534\n64306 96446\n11239 16850\n94035 100000\n78798 100000\n8781 13159\n91286 100000\n12203 18307\n52396 78533\n10616 15927\n52582 78816\n49692 74448\n15594 23352\n62476 93721\n6207 9289\n3326 5004\n83803 100000\n19526 29187\n4948 7435\n45998 68859\n45719 68433\n5437 8152\n50653 75885\n37029 55366\n48537 72684\n35414 52942\n36517 54602\n67262 100000\n21058 31488\n7829 11718\n72061 100000\n32837 49094\n79349 100000\n80385 100000\n31038 46407\n92679 100000\n69437 100000\n38563 57701\n1976 2973\n48227 72224\n67763 100000\n9258 13894\n37199 55629\n84475 100000\n21513 32164\n52389 78522\n73598 100000\n81740 100000\n84163 100000\n3070 4627\n89077 100000\n22198 33177\n84001 100000\n32564 48691\n80235 100000\n79625 100000\n46523 69657\n60051 90078\n61643 92469\n91656 100000\n31821 47582\n92359 100000\n36060 53909\n65428 98139\n49384 73984\n58676 88007\n85989 100000\n38033 56884\n17021 25460\n33132 49539\n49780 74583\n17208 25749\n81897 100000\n40519 60644\n10378 15572\n87473 100000\n37016 55344\n20328 30400\n90580 100000\n75935 100000\n30509 45604\n9361 14046\n4316 6485\n14557 21802\n56907 85307\n11927 17887\n98714 100000\n54852 82233\n35185 52595\n12210 18316\n33070 49444\n28376 42401\n52254 78317\n63519 95268\n29953 44770\n9283 13928\n87451 100000\n19601 29303\n69999 100000\n74003 100000\n15155 22685\n12979 19458\n15660 23456\n99059 100000\n19429 29056\n2595 3911\n7247 10849\n39576 59234\n80296 100000\n67986 100000\n56355 84483\n76278 100000\n80063 100000\n93834 100000\n96137 100000\n58036 87043\n23782 35561\n49336 73911\n12395 18590\n62846 94273\n33817 50534\n50124 75091\n50399 75507\n10752 16129\n59816 89719\n63277 94915\n83631 100000\n3671 5516\n52940 79342\n64390 96570\n43106 64495\n81120 100000\n64309 96452\n80817 100000\n89035 100000\n16654 24912\n99036 100000\n38974 58323\n36506 54584\n58118 87170\n91597 100000\n9398 14094\n82911 100000\n11596 17384\n36229 54162\n84754 100000\n20202 30206\n43848 65619\n92653 100000\n90464 100000\n68297 100000\n34423 51449\n38959 58300\n68620 100000\n81454 100000\n89920 100000\n67590 100000\n42228 63179\n432 653\n79977 100000\n32380 48420\n24424 36509\n57742 86601\n59980 89971\n19365 28950\n22498 33628\n91318 100000\n52916 79306\n57116 85630\n84153 100000\n18753 28052\n41808 62553\n37808 56540\n79146 100000\n63392 95089\n15162 22695\n84976 100000\n84179 100000\n40338 60366\n80836 100000\n74054 100000\n44919 67219\n22414 33498\n60068 90100\n10215 15327\n37044 55390\n90138 100000\n12545 18811\n67654 100000\n40941 61275\n77954 100000\n85464 100000\n29172 43585\n60202 90304\n78338 100000\n95210 100000\n43066 64430\n37183 55601\n46038 68918\n52589 78828\n24974 37313\n41840 62595\n61064 91593\n12628 18932\n57423 86107\n85638 100000\n94644 100000\n27514 41107\n72292 100000\n81482 100000\n88025 100000\n92793 100000\n57036 85507\n29042 43396\n46436 69524\n34760 51972\n97879 100000\n38030 56878\n22749 34019\n42565 63685\n59612 89413\n31101 46501\n60413 90617\n22142 33094\n40840 61122\n89697 100000\n67957 100000\n13688 20500\n11145 16705\n41460 62047\n99315 100000\n50949 76332\n34085 50946\n18686 27953\n40435 60515\n87157 100000\n14308 21438\n67752 100000\n60616 90927\n40003 59867\n60926 91387\n84077 100000\n27609 41254\n23804 35596\n42198 63135\n98125 100000\n83718 100000\n36774 54969\n3550 5344\n34492 51562\n41023 61403\n29566 44165\n31209 46658\n29353 43847\n5061 7600\n6299 9426\n70758 100000\n84750 100000\n23326 34882\n85106 100000\n16531 24736\n44779 67011\n59292 88917\n95474 100000\n13461 20172\n76991 100000\n47953 71814\n57757 86626\n89385 100000\n11088 16625\n71191 100000\n44879 67153\n88737 100000\n56322 84433\n77739 100000\n79802 100000\n65145 97707\n95442 100000\n11153 16714\n62307 93482\n25988 38831\n47652 71358\n29133 43525\n96307 100000\n74577 100000\n30425 45478\n74746 100000\n41598 62249\n19328 28899\n37254 55707\n47152 70601\n17019 25457\n12951 19412\n19160 28650\n58188 87266\n46686 69903\n94666 100000\n93045 100000\n77782 100000\n74921 100000\n15951 23883\n38215 57167\n95283 100000\n73855 100000\n91897 100000\n10355 15534\n39715 59447\n27746 41455\n16130 24154\n22052 32959\n9442 14166\n61252 91895\n45227 67687\n3644 5474\n38481 57572\n15317 22933\n60853 91281\n17675 26444\n62101 93174\n94372 100000\n85660 100000\n52959 79373\n73860 100000\n11565 17338\n74476 100000\n52436 78590\n76143 100000\n79613 100000\n95736 100000\n33697 50361\n85763 100000\n29320 43800\n55329 82947\n70995 100000\n56553 84780\n18649 27894\n64359 96527\n69583 100000\n69641 100000\n34804 52034\n24518 36642\n16135 24161\n72243 100000\n33927 50696\n87553 100000\n58810 88201\n55979 83919\n26939 40255\n71268 100000\n94749 100000\n36447 54500\n13211 19795\n94312 100000\n60905 91361\n57372 86030\n58 85\n91941 100000\n69349 100000\n17551 26256\n10797 16197\n91628 100000\n74327 100000\n59843 89753\n89891 100000\n38025 56870\n61087 91628\n79308 100000\n91935 100000\n62549 93830\n1292 1963\n2360 3560\n25524 38133\n64274 96399\n55297 82902\n34617 51757\n3376 5080\n75655 100000\n960 1462\n46679 69894\n71897 100000\n69756 100000\n5459 8187\n37023 55355\n13608 20388\n85363 100000\n17355 25967\n91186 100000\n29627 44263\n48067 71981\n96693 100000\n3140 4736\n45297 67797\n41767 62490\n63843 95750\n11842 17753\n31102 46503\n29728 44426\n72019 100000\n95070 100000\n6559 9803\n48972 73341\n17468 26133\n55789 83636\n62396 93611\n28086 41967\n45556 68185\n50246 75276\n8526 12762\n17104 25582\n75308 100000\n4954 7442\n99951 100000\n56012 83966\n48182 72157\n36099 53973\n53328 79920\n29166 43575\n81145 100000\n95980 100000\n62569 93861\n8786 13167\n13552 20309\n47414 71008\n67364 100000\n5379 8070\n5887 8809\n58872 88294\n61830 92755\n88088 100000\n58868 88288\n83811 100000\n26178 39125\n95478 100000\n12467 18693\n15975 23920\n20258 30299\n13312 19948\n85928 100000\n82725 100000\n31171 46605\n59416 89109\n54478 81663\n56524 84736\n64841 97250\n82683 100000\n45407 67962\n39060 58452\n46277 69278\n96130 100000\n6770 10131\n39106 58518\n66934 100000\n1110 1696\n90958 100000\n78640 100000\n96308 100000\n68905 100000\n93310 100000\n15426 23098\n74856 100000\n37156 55562\n2621 3953\n67338 100000\n66154 99243\n52321 78420\n96858 100000\n24306 36343\n54604 81851\n69229 100000\n35780 53489\n60959 91436\n41175 61627\n68874 100000\n8240 12334\n90945 100000\n3280 4943\n66621 99962\n83232 100000\n50943 76320\n59412 89103\n50427 75547\n90846 100000\n3088 4658\n38804 58064\n8475 12685\n78368 100000\n94333 100000\n16786 25107\n8959 13435\n52853 79214\n91818 100000\n19534 29199\n44241 66206\n59369 89033\n90414 100000\n7252 10857\n53539 80247\n3728 5606\n43275 64749\n1435 2173\n12326 18487\n45275 67763\n16197 24252\n92297 100000\n80592 100000\n49962 74847\n24712 36934\n3598 5408\n48978 73350\n30700 45892\n26492 39604\n80869 100000\n67229 100000\n51025 76445\n14015 20991\n88922 100000\n54069 81053\n30607 45747\n12340 18510\n48629 72827\n15342 22969\n70464 100000\n90751 100000\n9188 13787\n84257 100000\n69021 100000\n9078 13621\n75003 100000\n6457 9654\n67949 100000\n59818 89721\n53289 79857\n12616 18916\n75352 100000\n82028 100000\n77700 100000\n67455 100000\n50715 75972\n40036 59916\n6725 10061\n27493 41076\n7823 11710\n40400 60466\n44896 67179\n25948 38768\n47178 70639\n70680 100000\n76832 100000\n52422 78569\n73338 100000\n22310 33340\n22175 33144\n51992 77921\n12199 18300\n13573 20338\n57609 86396\n24833 37109\n47015 70389\n98325 100000\n62131 93222\n33239 49693\n76090 100000\n85719 100000\n53068 79532\n28666 42828\n76706 100000\n88594 100000\n56853 85226\n1513 2296\n62020 93042\n93048 100000\n3552 5347\n88875 100000\n63384 95078\n7143 10684\n226 341\n85596 100000\n38530 57648\n58797 88183\n99048 100000\n93587 100000\n82453 100000\n16453 24617\n28230 42191\n39664 59368\n95579 100000\n59075 88587\n78336 100000\n98929 100000\n85227 100000\n47428 71029\n35046 52391\n4207 6334\n35725 53409\n51421 77050\n79764 100000\n43185 64615\n72372 100000\n10637 15959\n89121 100000\n52415 78558\n41952 62762\n73990 100000\n34376 51381\n71541 100000\n27282 40761\n87043 100000\n2408 3635\n60848 91275\n15480 23175\n93083 100000\n69032 100000\n39451 59045\n85545 100000\n21598 32287\n41913 62707\n72012 100000\n83997 100000\n72382 100000\n54516 81719\n7203 10780\n60828 91245\n86794 100000\n88403 100000\n21891 32723\n75765 100000\n73841 100000\n84705 100000\n70239 100000\n85807 100000\n54766 82107\n18775 28087\n29291 43760\n32798 49038\n77000 100000\n40703 60914\n41067 61466\n3485 5250\n50486 75643\n86230 100000\n60161 90243\n30198 45135\n69106 100000\n84267 100000\n6382 9555\n78153 100000\n29117 43502\n77756 100000\n25975 38812\n77672 100000\n35085 52447\n61330 92016\n1963 2953\n44658 66832\n18161 27174\n48724 72969\n67967 100000\n85275 100000\n33896 50651\n71824 100000\n10322 15490\n35589 53201\n8025 12015\n1052 1609\n59358 89019\n75259 100000\n46695 69915\n1528 2314\n20919 31269\n60834 91254\n20613 30826\n79037 100000\n27290 40775\n53645 80417\n86372 100000\n69334 100000\n76135 100000\n21944 32801\n4758 7155\n45762 68497\n15514 23230\n72460 100000\n39706 59432\n5334 8004\n8945 13414\n12071 18111\n44409 66462\n9504 14254\n26588 39740\n85881 100000\n86093 100000\n84393 100000\n15509 23222\n22177 33146\n30468 45545\n27284 40765\n91368 100000\n33770 50465\n97284 100000\n26035 38906\n64635 96944\n10145 15217\n33193 49626\n8873 13297\n57038 85510\n80403 100000\n37543 56134\n56433 84602\n75905 100000\n97912 100000\n3507 5280\n93969 100000\n77993 100000\n55510 83210\n49209 73713\n26594 39749\n31673 47373\n70868 100000\n57093 85597\n21195 31690\n20914 31261\n52961 79377\n1815 2730\n57795 86687\n46915 70244\n38263 57240\n94270 100000\n88137 100000\n7660 11466\n25714 38416\n35323 52806\n67593 100000\n51032 76455\n3102 4677\n57281 85896\n86486 100000\n55926 83840\n18329 27422\n82837 100000\n36939 55225\n57859 86780\n27921 41721\n76651 100000\n17511 26198\n17018 25455\n16257 24343\n42750 63967\n32471 48548\n62860 94294\n83866 100000\n2771 4179\n76954 100000\n63119 94681\n49276 73820\n41823 62571\n45015 67362\n94975 100000\n1155 1767\n17296 25881\n68320 100000\n43253 64716\n82965 100000\n1691 2555\n32053 47932\n38293 57284\n84679 100000\n52595 78834\n9844 14770\n80326 100000\n57977 86959\n76927 100000\n91642 100000\n84206 100000\n68213 100000\n69679 100000\n44722 66925\n31957 47784\n38649 57835\n21619 32323\n66435 99675\n1560 2362\n89057 100000\n5611 8411\n6192 9267\n32074 47963\n11568 17343\n67903 100000\n44741 66954\n43787 65526\n827 1254\n51056 76492\n92449 100000\n3748 5636\n74802 100000\n60836 91258\n18020 26973\n56407 84565\n30253 45216\n88867 100000\n57418 86099\n58702 88047\n82173 100000\n95033 100000\n72164 100000\n15947 23877\n8211 12294\n68921 100000\n91091 100000\n48974 73344\n60321 90487\n91545 100000\n68020 100000\n83816 100000\n98324 100000\n2588 3899\n21243 31759\n56633 84897\n31418 46976\n55651 83425\n36618 54747\n14542 21782\n83768 100000\n72546 100000\n78267 100000\n91736 100000\n54202 81251\n58412 87621\n16930 25324\n53971 80898\n86875 100000\n3835 5771\n28231 42193\n69090 100000\n77568 100000\n59417 89111\n67401 100000\n92530 100000\n80772 100000\n20469 30618\n38209 57157\n84009 100000\n44395 66442\n75448 100000\n78886 100000\n44390 66434\n46718 69951\n1431 2168\n43567 65189\n48497 72621\n46676 69889\n51943 77845\n72721 100000\n81068 100000\n5683 8514\n63037 94556\n31324 46837\n99348 100000\n47842 71647\n78661 100000\n30797 46042\n6953 10395\n29097 43475\n30874 46156\n26652 39831\n34176 51082\n98666 100000\n96623 100000\n85720 100000\n30992 46336\n6360 9522\n43822 65580\n35310 52786\n21032 31447\n46726 69960\n52217 78254\n78902 100000\n93199 100000\n72749 100000\n92907 100000\n8189 12262\n7133 10669\n39118 58536\n32921 49220\n16547 24759\n84080 100000\n73957 100000\n38762 58000\n10061 15094\n81333 100000\n10753 16131\n82666 100000\n92149 100000\n54492 81687\n58452 87676\n66742 100000\n80078 100000\n69970 100000\n94216 100000\n12669 18995\n15591 23346\n26969 40303\n86961 100000\n57037 85508\n16976 25392\n7955 11914\n19131 28610\n50928 76299\n16395 24539\n92233 100000\n33703 50368\n49115 73566\n72908 100000\n28207 42157\n52856 79218\n36245 54185\n6571 9819\n14458 21658\n32515 48615\n14075 21075\n41546 62171\n93352 100000\n25568 38195\n43230 64684\n44178 66115\n75653 100000\n49852 74688\n57671 86488\n25768 38496\n12120 18186\n32117 48027\n38496 57594\n374 561\n44862 67129\n22673 33900\n64659 96978\n89270 100000\n96148 100000\n33915 50679\n56203 84253\n74844 100000\n27252 40717\n24530 36660\n41104 61523\n53315 79902\n50911 76272\n97532 100000\n50631 75853\n4635 6971\n29539 44127\n85522 100000\n2733 4118\n44388 66431\n16842 25189\n88720 100000\n23450 35072\n52372 78498\n70088 100000\n20044 29967\n80409 100000\n90083 100000\n74106 100000\n89393 100000\n60671 91008\n25702 38396\n80036 100000\n69461 100000\n19729 29497\n60002 90005\n52635 78893\n61422 92146\n21198 31694\n62504 93762\n1707 2576\n48991 73371\n4539 6825\n54368 81501\n9867 14801\n69530 100000\n81159 100000\n63731 95591\n379 569\n26367 39415\n44884 67161\n19628 29343\n76253 100000\n99734 100000\n35245 52684\n25160 37587\n57787 86676\n36522 54610\n17094 25569\n21267 31791\n45639 68308\n19481 29125\n17759 26565\n57085 85582\n25376 37917\n19854 29680\n26777 40013\n76035 100000\n33052 49417\n9996 14991\n9999 14995\n75991 100000\n82474 100000\n51801 77634\n37766 56474\n89635 100000\n75842 100000\n97188 100000\n97418 100000\n39350 58898\n94543 100000\n45337 67855\n15238 22809\n1135 1733\n30873 46155\n75315 100000\n22902 34244\n37720 56409\n58637 87947\n25401 37958\n74334 100000\n53020 79459\n90062 100000\n93149 100000\n74338 100000\n53211 79743\n35949 53739\n69205 100000\n22410 33492\n71235 100000\n32877 49151\n54419 81575\n63147 94719\n56707 85004\n69851 100000\n19236 28761\n30724 45932\n90913 100000\n26132 39054\n98409 100000\n53670 80455\n71958 100000\n12081 18124\n23327 34883\n23717 35464\n64020 96021\n89127 100000\n95886 100000\n49723 74497\n17755 26560\n39142 58573\n30532 45636\n26053 38932\n92119 100000\n49698 74458\n77995 100000\n84271 100000\n55166 82712\n80641 100000\n8893 13329\n48877 73195\n14420 21599\n18374 27495\n50646 75875\n87654 100000\n16149 24183\n85551 100000\n82132 100000\n15938 23864\n55123 82649\n30104 44993\n82909 100000\n77015 100000\n59040 88535\n59103 88627\n93435 100000\n32051 47930\n67820 100000\n14523 21753\n46078 68978\n38315 57316\n42668 63845\n57298 85922\n62150 93249\n99906 100000\n52743 79052\n48237 72241\n22476 33596\n7281 10900\n3373 5076\n71593 100000\n79509 100000\n87818 100000\n17494 26173\n67416 100000\n25589 38227\n94742 100000\n79716 100000\n73909 100000\n25638 38295\n71308 100000\n42011 62849\n53402 80035\n94747 100000\n71978 100000\n73400 100000\n63831 95735\n52168 78183\n98085 100000\n66049 99082\n20019 29928\n90147 100000\n855 1302\n55560 83288\n67494 100000\n70535 100000\n13005 19494\n4935 7417\n59968 89951\n93567 100000\n67912 100000\n6864 10269\n78241 100000\n51241 76771\n45600 68251\n16596 24827\n62041 93076\n8668 12983\n41125 61553\n47352 70906\n50030 74949\n20196 30197\n97080 100000\n83308 100000\n3968 5980\n16206 24266\n25124 37533\n57151 85690\n67453 100000\n93232 100000\n80135 100000\n45671 68358\n86025 100000\n24681 36884\n34635 51785\n85211 100000\n29876 44651\n67742 100000\n14474 21681\n91441 100000\n16776 25092\n2627 3962\n95282 100000\n41331 61866\n71403 100000\n81742 100000\n33578 50193\n3261 4916\n3737 5621\n57551 86304\n31340 46857\n97509 100000\n80156 100000\n39048 58432\n75600 100000\n2008 3022\n66150 99238\n8645 12946\n49085 73515\n69479 100000\n47303 70825\n79171 100000\n47340 70885\n87125 100000\n77438 100000\n42928 64232\n20743 31014\n8705 13041\n88082 100000\n69985 100000\n90326 100000\n2340 3529\n60433 90654\n40079 59983\n29840 44594\n24817 37085\n17678 26447\n52408 78547\n42120 63015\n68868 100000\n73037 100000\n30242 45200\n77253 100000\n39240 58733\n92758 100000\n15018 22481\n47648 71353\n62316 93498\n68123 100000\n53843 80703\n62923 94390\n37514 56093\n82627 100000\n53050 79508\n77269 100000\n44506 66609\n79219 100000\n56025 83984\n79996 100000\n43401 64939\n67626 100000\n57808 86708\n38128 57028\n68257 100000\n83373 100000\n62066 93118\n97952 100000\n35351 52848\n25021 37375\n12025 18039\n33120 49520\n1107 1692\n36990 55302\n79410 100000\n23651 35363\n97373 100000\n81570 100000\n37206 55637\n56729 85039\n86988 100000\n15389 23037\n88696 100000\n7258 10865\n93027 100000\n96773 100000\n85669 100000\n66913 100000\n22695 33932\n32677 48858\n91812 100000\n73746 100000\n36250 54191\n18664 27916\n23600 35289\n59642 89457\n52734 79040\n96111 100000\n82503 100000\n59097 88619\n36513 54595\n77238 100000\n26224 39195\n41347 61889\n79557 100000\n13328 19971\n59246 88846\n84470 100000\n93544 100000\n51132 76606\n80689 100000\n48164 72132\n23876 35706\n57605 86390\n62812 94218\n25788 38526\n42724 63927\n42030 62879\n55673 83459\n61233 91861\n49031 73432\n54443 81614\n58664 87988\n21109 31562\n13507 20239\n59515 89263\n76666 100000\n62913 94377\n247 375\n39408 58978\n77936 100000\n78240 100000\n43670 65349\n99224 100000\n79540 100000\n87528 100000\n87102 100000\n76636 100000\n57810 86711\n65046 97557\n15173 22714\n5261 7898\n97113 100000\n54881 82278\n93140 100000\n58549 87820\n47850 71661\n92848 100000\n37208 55640\n16620 24863\n77498 100000\n46818 70101\n55763 83600\n78199 100000\n63607 95404\n40455 60545\n61198 91805\n85253 100000\n35986 53794\n40348 60382\n93650 100000\n12466 18692\n53174 79691\n2643 3983\n76224 100000\n25600 38242\n88906 100000\n90143 100000\n33008 49348\n55734 83556\n70785 100000\n62446 93677\n29682 44355\n98850 100000\n67329 100000\n88476 100000\n80268 100000\n57421 86103\n14175 21233\n71279 100000\n67707 100000\n78174 100000\n89154 100000\n1436 2174\n17919 26815\n2359 3559\n84887 100000\n46384 69440\n21686 32419\n46128 69048\n34295 51260\n59042 88538\n38660 57851\n53739 80556\n16850 25203\n67662 100000\n54428 81589\n39338 58884\n59052 88552\n27702 41383\n78118 100000\n30864 46140\n96678 100000\n53589 80326\n88264 100000\n10332 15503\n82779 100000\n152 229\n12110 18170\n68710 100000\n43120 64518\n54916 82333\n79221 100000\n29002 43337\n71064 100000\n82629 100000\n62377 93589\n14404 21572\n41935 62738\n31747 47475\n74530 100000\n94579 100000\n94656 100000\n2944 4433\n14080 21083\n27721 41414\n72270 100000\n86436 100000\n53062 79523\n29802 44536\n1278 1942\n40111 60028\n46938 70275\n44066 65945\n92804 100000\n99416 100000\n68122 100000\n21039 31458\n64418 96606\n64655 96972\n91722 100000\n99190 100000\n83970 100000\n42460 63532\n653 999\n50282 75331\n16254 24338\n10887 16325\n26359 39403\n8777 13153\n88307 100000\n45189 67629\n18317 27406\n69868 100000\n69129 100000\n71951 100000\n32629 48788\n67219 100000\n66828 100000\n51815 77657\n9553 14322\n16053 24039\n2669 4022\n89510 100000\n33849 50583\n62143 93238\n91063 100000\n20114 30078\n23577 35254\n46095 69003\n84007 100000\n32774 49000\n33484 50054\n73209 100000\n15284 22884\n4921 7396\n60902 91356\n83218 100000\n90000 100000\n39804 59579\n88298 100000\n72252 100000\n82321 100000\n98152 100000\n77091 100000\n63528 95283\n81152 100000\n76004 100000\n14914 22332\n85449 100000\n47893 71727\n54834 82208\n51565 77263\n32963 49283\n83263 100000\n35080 52441\n8803 13194\n50241 75270\n74043 100000\n49185 73674\n68546 100000\n49871 74721\n48313 72350\n92782 100000\n75497 100000\n19304 28863\n91843 100000\n71463 100000\n26595 39751\n20951 31316\n87160 100000\n31755 47486\n14449 21644\n6082 9108\n49271 73814\n53443 80100\n66197 99314\n33212 49653\n22865 34186\n17262 25829\n75628 100000\n83935 100000\n419 630\n88249 100000\n60165 90248\n35371 52875\n47441 71047\n21268 31792\n94954 100000\n50448 75582\n94575 100000\n98102 100000\n14649 21926\n32132 48051\n29393 43905\n30392 45431\n8183 12251\n89603 100000\n35293 52759\n84219 100000\n51371 76973\n90600 100000\n46549 69695\n66193 99309\n12246 18370\n9264 13902\n36668 54817\n46118 69034\n51243 76773\n14932 22357\n31773 47510\n80619 100000\n80804 100000\n76653 100000\n4459 6699\n48296 72325\n40947 61286\n45652 68328\n98344 100000\n37741 56440\n68829 100000\n3562 5359\n93443 100000\n25289 37782\n69219 100000\n46950 70293\n17642 26394\n76550 100000\n20353 30436\n61103 91652\n86224 100000\n21500 32141\n47975 71850\n65875 98812\n90909 100000\n34679 51849\n9131 13700\n69770 100000\n90757 100000\n78245 100000\n52978 79403\n34783 52005\n18259 27321\n82626 100000\n16355 24479\n44654 66827\n76230 100000\n28619 42754\n60975 91456\n25345 37864\n87676 100000\n90706 100000\n28068 41938\n13808 20680\n40343 60375\n28262 42236\n33063 49433\n91815 100000\n69598 100000\n14084 21090\n92844 100000\n59588 89376\n24297 36330\n42693 63879\n79570 100000\n76461 100000\n51418 77046\n255 385\n26865 40142\n74794 100000\n34082 50941\n89399 100000\n94718 100000\n95322 100000\n71443 100000\n26839 40103\n73301 100000\n1416 2146\n11186 16768\n84609 100000\n5743 8604\n90824 100000\n77474 100000\n74354 100000\n40184 60138\n85518 100000\n27078 40468\n28134 42038\n85527 100000\n84211 100000\n17746 26545\n29551 44142\n20387 30488\n86557 100000\n18797 28120\n88297 100000\n99874 100000\n42006 62841\n92559 100000\n36057 53903\n54830 82203\n41625 62289\n79767 100000\n2936 4421\n25076 37463\n1635 2475\n22563 33730\n49880 74732\n44173 66108\n38651 57838\n30615 45761\n28157 42077\n47564 71233\n27711 41398\n22299 33322\n99740 100000\n4199 6322\n2032 3061\n1946 2928\n54955 82394\n1653 2506\n57668 86482\n46619 69800\n5947 8898\n36815 55035\n41486 62083\n51543 77230\n29248 43701\n1048 1603\n84651 100000\n42807 64049\n2171 3270\n54517 81720\n98923 100000\n53185 79706\n85077 100000\n70276 100000\n25700 38392\n63039 94559\n31086 46482\n42662 63835\n45005 67346\n76660 100000\n35759 53457\n67875 100000\n87371 100000\n88823 100000\n67507 100000\n78872 100000\n8429 12615\n13607 20386\n2184 3292\n20239 30267\n58709 88057\n88608 100000\n92368 100000\n55665 83448\n51317 76892\n64963 97429\n39407 58976\n82171 100000\n54208 81259\n49081 73510\n51000 76408\n86281 100000\n94678 100000\n68741 100000\n96253 100000\n6685 9999\n9005 13509\n19573 29262\n59935 89896\n97555 100000\n58910 88349\n85543 100000\n30523 45625\n83214 100000\n83153 100000\n75093 100000\n35645 53287\n63210 94813\n96965 100000\n57603 86386\n48020 71914\n18391 27520\n6031 9031\n76073 100000\n11995 17990\n53411 80050\n96995 100000\n59287 88907\n98010 100000\n31380 46919\n41734 62445\n86801 100000\n32302 48306\n31147 46573\n59474 89200\n10921 16378\n6608 9884\n37600 56218\n97976 100000\n74064 100000\n76019 100000\n42446 63511\n96795 100000\n43102 64489\n31833 47595\n56270 84344\n89054 100000\n57680 86502\n64434 96627\n34029 50857\n78351 100000\n65268 97898\n98602 100000\n97412 100000\n5873 8789\n20581 30783\n78891 100000\n95902 100000\n55138 82672\n62286 93453\n45130 67539\n42422 63479\n61124 91685\n33569 50179\n6724 10059\n13412 20098\n75555 100000\n53994 80937\n91316 100000\n42476 63553\n89137 100000\n96366 100000\n31997 47844\n69017 100000\n59239 88837\n55842 83712\n3136 4731\n72659 100000\n98485 100000\n96125 100000\n64371 96544\n26422 39495\n32845 49107\n98879 100000\n91351 100000\n71383 100000\n61758 92646\n68377 100000\n2266 3418\n88408 100000\n29200 43624\n83495 100000\n38444 57516\n75008 100000\n84849 100000\n85314 100000\n37226 55668\n48509 72639\n11924 17882\n89300 100000\n84797 100000\n32238 48210\n43841 65610\n17888 26766\n47685 71406\n89225 100000\n80445 100000\n8995 13493\n45871 68666\n41080 61486\n93551 100000\n8296 12419\n53487 80170\n90962 100000\n40592 60753\n41908 62699\n99610 100000\n15727 23555\n77823 100000\n47044 70431\n86474 100000\n77090 100000\n54612 81866\n83666 100000\n54123 81134\n46203 69164\n64422 96612\n98172 100000\n47779 71555\n15499 23207\n45738 68459\n44748 66964\n69465 100000\n1196 1822\n97519 100000\n31744 47470\n56119 84128\n25729 38437\n49524 74197\n11319 16971\n18452 27612\n36282 54243\n16866 25227\n19036 28461\n72944 100000\n31879 47667\n24526 36656\n41538 62160\n49699 74460\n75734 100000\n46201 69161\n85442 100000\n19397 29005\n1724 2602\n27163 40591\n71326 100000\n48968 73337\n81982 100000\n81825 100000\n55555 83280\n8717 13061\n14965 22404\n43583 65216\n91733 100000\n63093 94640\n92562 100000\n47863 71681\n3364 5061\n87577 100000\n20412 30529\n8949 13421\n70865 100000\n49568 74265\n93250 100000\n73196 100000\n99840 100000\n28843 43100\n16043 24023\n8655 12962\n69861 100000\n67168 100000\n19442 29074\n43754 65475\n14741 22069\n32710 48905\n4424 6647\n10071 15109\n44702 66896\n29060 43420\n49891 74745\n8385 12554\n72831 100000\n77243 100000\n85621 100000\n31275 46761\n11913 17865\n15681 23487\n78846 100000\n12549 18815\n27503 41092\n42053 62916\n85046 100000\n8809 13202\n50411 75526\n72161 100000\n38831 58103\n9112 13671\n12553 18820\n75414 100000\n38583 57732\n80205 100000\n50629 75851\n68176 100000\n489 739\n72790 100000\n48450 72549\n25734 38446\n5269 7909\n53590 80328\n46155 69091\n15910 23822\n92360 100000\n15920 23835\n39221 58703\n42534 63635\n70699 100000\n58902 88338\n16525 24728\n56773 85101\n42135 63041\n92146 100000\n79357 100000\n22495 33624\n55435 83101\n46550 69696\n83012 100000\n62548 93828\n99292 100000\n65113 97657\n51399 77018\n83229 100000\n76233 100000\n1344 2039\n29440 43975\n28628 42767\n38924 58245\n60129 90196\n25461 38042\n82438 100000\n33256 49719\n59231 88826\n99490 100000\n24604 36774\n36635 54771\n50081 75026\n65970 98960\n40966 61310\n75106 100000\n13816 20693\n46972 70325\n46660 69865\n17506 26192\n4350 6540\n22468 33584\n99396 100000\n86030 100000\n93786 100000\n35337 52826\n22017 32908\n32583 48719\n79191 100000\n92538 100000\n15867 23757\n39059 58450\n82978 100000\n28082 41961\n8852 13269\n36647 54787\n16870 25233\n69686 100000\n48205 72188\n8376 12539\n45791 68542\n11170 16739\n54163 81195\n51865 77729\n50008 74918\n4113 6191\n34539 51640\n24202 36194\n8015 11997\n83021 100000\n18293 27372\n27295 40784\n162 245\n39026 58401\n28208 42159\n17497 26178\n30154 45065\n62213 93345\n20948 31311\n26655 39834\n39359 58911\n26274 39276\n24903 37213\n71605 100000\n65676 98514\n69318 100000\n45479 68071\n53908 80807\n80030 100000\n97578 100000\n32553 48675\n77106 100000\n9414 14120\n90321 100000\n95509 100000\n15449 23130\n8584 12847\n43801 65548\n61602 92409\n58395 87592\n64379 96554\n49413 74029\n44752 66969\n1954 2939\n96401 100000\n8957 13432\n14884 22286\n63190 94785\n81369 100000\n35968 53766\n60529 90800\n21124 31584\n65344 98013\n15615 23385\n50710 75964\n45872 68667\n11424 17127\n58200 87288\n60355 90535\n17488 26164\n49346 73924\n65135 97693\n82869 100000\n22795 34084\n59591 89380\n80404 100000\n35230 52662\n11367 17043\n65969 98958\n8351 12499\n39993 59852\n64980 97453\n13363 20028\n83889 100000\n27804 41544\n99680 100000\n97770 100000\n74734 100000\n59602 89397\n1821 2739\n96834 100000\n72290 100000\n16041 24020\n35665 53315\n84100 100000\n6603 9875\n48541 72691\n44484 66572\n60480 90728\n23666 35387\n89892 100000\n14553 21796\n59510 89254\n93285 100000\n66675 100000\n3429 5163\n67977 100000\n37896 56677\n24924 37243\n20722 30983\n92122 100000\n14033 21016\n50796 76093\n28611 42739\n46538 69679\n5377 8066\n7323 10963\n58822 88220\n78144 100000\n70531 100000\n78862 100000\n67740 100000\n76770 100000\n59714 89564\n51617 77347\n94530 100000\n16832 25171\n22651 33868\n38359 57382\n39366 58919\n70324 100000\n49611 74330\n87332 100000\n38905 58213\n3417 5146\n52849 79207\n43237 64695\n30339 45347\n6342 9494\n42339 63354\n27350 40862\n89886 100000\n51906 77786\n26168 39108\n85670 100000\n6697 10020\n3833 5769\n63840 95747\n36504 54580\n71994 100000\n52461 78628\n11091 16629\n53238 79783\n1393 2111\n68577 100000\n63758 95630\n98129 100000\n73612 100000\n14626 21896\n10711 16071\n42105 62994\n91402 100000\n48814 73102\n68471 100000\n63203 94802\n69755 100000\n12162 18239\n51989 77917\n55530 83240\n41643 62316\n42697 63886\n7144 10686\n64246 96359\n55575 83312\n32902 49193\n35586 53196\n39305 58831\n48931 73280\n30387 45422\n31647 47332\n55063 82560\n93641 100000\n77157 100000\n32131 48050\n10745 16120\n13561 20321\n41398 61962\n96064 100000\n6861 10264\n46421 69499\n19107 28571\n44117 66026\n17152 25659\n99546 100000\n19491 29142\n64319 96465\n5253 7888\n41259 61754\n75026 100000\n6844 10238\n8540 12784\n90407 100000\n51740 77531\n9076 13618\n44294 66288\n49637 74367\n6669 9975\n81266 100000\n70109 100000\n46280 69282\n49266 73808\n6756 10109\n97392 100000\n516 783\n77663 100000\n87190 100000\n8990 13484\n88865 100000\n95793 100000\n17669 26435\n55967 83901\n33105 49499\n33622 50254\n54140 81161\n46975 70328\n97152 100000\n44453 66525\n16744 25049\n63515 95262\n83996 100000\n7561 11323\n11614 17414\n1233 1876\n72011 100000\n3167 4771\n83159 100000\n17180 25704\n48167 72136\n23506 35159\n38220 57174\n86831 100000\n95916 100000\n93478 100000\n91002 100000\n17182 25708\n87941 100000\n51483 77141\n97760 100000\n76521 100000\n39660 59362\n35905 53671\n47594 71276\n25089 37481\n8896 13334\n33089 49476\n74376 100000\n50903 76259\n24722 36949\n6702 10026\n29259 43716\n3858 5810\n80752 100000\n17543 26246\n50970 76363\n46357 69398\n20069 30008\n80300 100000\n92073 100000\n62336 93528\n89291 100000\n73823 100000\n24527 36657\n4556 6850\n23252 34771\n26312 39333\n21714 32465\n4115 6194\n56173 84211\n97552 100000\n10727 16095\n31770 47507\n27552 41162\n50820 76131\n39437 59024\n66059 99098\n23213 34709\n4864 7316\n76559 100000\n5819 8712\n91406 100000\n15112 22623\n40813 61081\n31739 47464\n10950 16423\n20 30\n2573 3880\n66752 100000\n88366 100000\n46046 68930\n2529 3812\n88587 100000\n77957 100000\n50404 75514\n76468 100000\n7487 11214\n82915 100000\n91160 100000\n68253 100000\n72548 100000\n86346 100000\n41940 62744\n80372 100000\n93601 100000\n42716 63914\n30388 45424\n52485 78666\n19687 29433\n85873 100000\n56364 84498\n50559 75753\n69006 100000\n26935 40251\n15044 22519\n96514 100000\n33171 49595\n71033 100000\n40453 60541\n42572 63697\n51568 77268\n17603 26334\n82384 100000\n69716 100000\n67716 100000\n13208 19791\n12361 18538\n68013 100000\n46951 70295\n44514 66620\n10579 15875\n57983 86969\n54605 81853\n22292 33312\n46413 69484\n16920 25310\n64878 97306\n89440 100000\n33524 50107\n62723 94085\n46851 70152\n45642 68313\n23287 34820\n3794 5706\n22878 34207\n39438 59026\n55992 83936\n13313 19949\n8068 12080\n3284 4948\n90275 100000\n44298 66294\n90710 100000\n13248 19850\n89824 100000\n15234 22803\n67025 100000\n82844 100000\n79519 100000\n11086 16622\n72127 100000\n93783 100000\n78343 100000\n62885 94334\n86920 100000\n99076 100000\n44414 66467\n71447 100000\n46098 69009\n40849 61136\n7010 10486\n57887 86821\n54907 82319\n81541 100000\n5464 8193\n5226 7850\n98169 100000\n77887 100000\n91471 100000\n88538 100000\n42890 64176\n44158 66083\n20491 30652\n34390 51402\n34105 50975\n12544 18810\n59567 89344\n21287 31820\n90636 100000\n26812 40067\n50931 76305\n68729 100000\n16310 24418\n33040 49397\n2030 3058\n51971 77885\n910 1387\n97020 100000\n60901 91354\n54805 82167\n78031 100000\n32502 48597\n72373 100000\n64600 96894\n40720 60938\n47425 71025\n56065 84047\n45448 68021\n6117 9161\n89260 100000\n39139 58567\n31595 47244\n99799 100000\n58663 87987\n35721 53402\n96687 100000\n62519 93785\n13497 20221\n14873 22268\n39910 59735\n62428 93653\n75409 100000\n83500 100000\n59355 89014\n19087 28537\n55879 83765\n31146 46571\n91065 100000\n78469 100000\n7536 11289\n43419 64964\n29076 43444\n29398 43913\n27435 40992\n48044 71949\n78851 100000\n98143 100000\n2429 3665\n41916 62712\n3486 5251\n347 521\n37296 55767\n76759 100000\n60717 91077\n60188 90284\n47559 71226\n25410 37972\n58776 88154\n37261 55717\n16871 25235\n12638 18945\n57577 86345\n67349 100000\n49878 74730\n80900 100000\n44880 67154\n82988 100000\n86317 100000\n34054 50897\n65028 97530\n62309 93485\n98173 100000\n76024 100000\n12175 18260\n63470 95204\n23629 35333\n6219 9308\n36262 54211\n9040 13559\n55518 83222\n75911 100000\n47827 71624\n92398 100000\n88240 100000\n40148 60084\n67247 100000\n48627 72824\n64415 96601\n20723 30985\n2442 3686\n16162 24200\n60084 90125\n12368 18548\n7165 10721\n37575 56182\n66833 100000\n74552 100000\n9507 14257\n30289 45273\n46987 70346\n36961 55259\n9871 14806\n57534 86279\n90014 100000\n23052 34469\n83208 100000\n35941 53729\n63892 95829\n23789 35574\n19483 29128\n82411 100000\n12744 19106\n31010 46363\n35512 53087\n64702 97044\n57797 86690\n31399 46948\n68912 100000\n9185 13783\n10630 15948\n59156 88711\n20090 30040\n5170 7764\n57314 85945\n50320 75390\n52609 78854\n65293 97936\n69954 100000\n34743 51946\n92327 100000\n19656 29388\n23828 35634\n80010 100000\n83433 100000\n12178 18264\n65830 98746\n90556 100000\n66186 99297\n29439 43973\n37738 56436\n50682 75928\n55871 83753\n75668 100000\n39328 58868\n1718 2592\n88891 100000\n59373 89040\n11705 17553\n49892 74747\n86667 100000\n21703 32448\n47911 71755\n89302 100000\n53046 79500\n89564 100000\n23037 34446\n22951 34314\n26167 39107\n19213 28729\n92543 100000\n57291 85911\n47761 71527\n14263 21369\n65274 97906\n32555 48679\n91998 100000\n46089 68993\n11030 16537\n16311 24419\n47896 71732\n75355 100000\n47261 70766\n63452 95178\n55889 83779\n7728 11567\n41635 62304\n66586 99910\n6319 9459\n55637 83407\n84038 100000\n43138 64543\n55340 82964\n39635 59321\n13202 19784\n6781 10143\n22399 33476\n36921 55196\n55145 82683\n78517 100000\n97395 100000\n86485 100000\n6970 10422\n18601 27825\n79333 100000\n62121 93204\n56845 85213\n40988 61347\n93131 100000\n92429 100000\n1282 1948\n97838 100000\n75469 100000\n42983 64310\n91196 100000\n51661 77409\n78201 100000\n94817 100000\n70090 100000\n81255 100000\n23552 35218\n36200 54122\n14985 22431\n31304 46806\n97706 100000\n20718 30978\n94239 100000\n49478 74126\n21196 31691\n24023 35930\n46848 70149\n95896 100000\n32425 48482\n54896 82302\n16650 24906\n60805 91209\n2849 4298\n515 781\n28889 43170\n89407 100000\n93533 100000\n46544 69688\n20037 29957\n73998 100000\n67147 100000\n90582 100000\n6318 9458\n81872 100000\n30049 44912\n62477 93722\n337 504\n94686 100000\n16536 24742\n40594 60756\n19180 28678\n65128 97683\n8804 13196\n26853 40124\n28935 43235\n98382 100000\n10515 15775\n27550 41160\n63891 95828\n29406 43924\n25966 38799\n72182 100000\n94221 100000\n99715 100000\n32908 49202\n84131 100000\n86930 100000\n13159 19716\n28156 42076\n57548 86301\n16997 25424\n34483 51548\n74501 100000\n26098 39001\n49251 73782\n20625 30845\n71821 100000\n43007 64343\n17230 25781\n41805 62547\n1934 2909\n55438 83107\n89249 100000\n76180 100000\n80958 100000\n1519 2303\n52402 78540\n3437 5174\n87625 100000\n61138 91710\n99254 100000\n99494 100000\n6232 9326\n41488 62086\n82079 100000\n79203 100000\n83326 100000\n70164 100000\n10005 15004\n78268 100000\n5911 8847\n10135 15199\n81991 100000\n22361 33417\n82162 100000\n41543 62167\n31453 47028\n12122 18188\n70199 100000\n39237 58728\n83991 100000\n49043 73450\n4644 6983\n66853 100000\n59594 89385\n43727 65433\n45004 67344\n66738 100000\n5950 8903\n36391 54418\n31479 47068\n53783 80619\n52149 78159\n95557 100000\n21053 31480\n42590 63722\n53871 80746\n51320 76896\n2022 3043\n85601 100000\n86601 100000\n80474 100000\n65189 97778\n57798 86691\n23041 34451\n28624 42762\n30701 45893\n45211 67659\n59305 88937\n60608 90914\n67566 100000\n89397 100000\n12730 19084\n48256 72268\n21653 32373\n5320 7982\n42029 62877\n82146 100000\n73289 100000\n35887 53645\n84036 100000\n39823 59607\n71499 100000\n73872 100000\n41409 61976\n27251 40716\n43731 65439\n5892 8817\n9038 13557\n83337 100000\n62046 93084\n2796 4217\n69907 100000\n52834 79187\n87071 100000\n99621 100000\n89223 100000\n43094 64476\n84784 100000\n24829 37101\n6775 10137\n76390 100000\n89811 100000\n53941 80854\n77933 100000\n93437 100000\n57110 85620\n69979 100000\n41565 62198\n57499 86225\n1806 2716\n12159 18236\n1989 2991\n85891 100000\n74876 100000\n84764 100000\n30458 45531\n71448 100000\n1880 2830\n51741 77533\n1240 1887\n21830 32639\n70899 100000\n87103 100000\n57433 86124\n64216 96315\n40634 60815\n13435 20133\n18144 27150\n73940 100000\n49791 74599\n76527 100000\n17201 25739\n75675 100000\n28148 42060\n64928 97381\n13556 20315\n46073 68970\n33589 50208\n88552 100000\n21961 32825\n49810 74624\n20569 30765\n19235 28759\n24673 36875\n73382 100000\n18191 27219\n98949 100000\n62029 93056\n19330 28901\n19536 29202\n52029 77974\n91886 100000\n2730 4114\n76955 100000\n3786 5693\n62412 93631\n93825 100000\n93815 100000\n92517 100000\n97404 100000\n95258 100000\n87003 100000\n76539 100000\n88070 100000\n27482 41057\n17388 26015\n69462 100000\n83358 100000\n63516 95264\n95682 100000\n14534 21770\n52301 78394\n73656 100000\n80174 100000\n62715 94071\n57556 86314\n10893 16335\n1712 2584\n36922 55198\n81279 100000\n19968 29853\n9368 14053\n56850 85222\n84033 100000\n15673 23475\n74219 100000\n53905 80802\n30608 45748\n21377 31955\n13968 20922\n90289 100000\n71713 100000\n90250 100000\n85406 100000\n40846 61131\n83673 100000\n70376 100000\n96508 100000\n34112 50985\n13491 20212\n13480 20198\n78259 100000\n61913 92884\n1029 1573\n35835 53571\n75828 100000\n19609 29316\n66719 100000\n70470 100000\n6944 10382\n16322 24433\n92202 100000\n63058 94587\n51414 77042\n1187 1810\n5555 8330\n39052 58439\n7946 11902\n65889 98833\n1068 1635\n2165 3261\n62039 93072\n37966 56778\n39711 59440\n54975 82425\n81757 100000\n14664 21950\n23376 34955\n78311 100000\n91399 100000\n75975 100000\n34345 51333\n93983 100000\n72238 100000\n72841 100000\n74322 100000\n42306 63305\n97255 100000\n38684 57885\n8428 12613\n13290 19913\n70156 100000\n58150 87211\n95522 100000\n81990 100000\n25253 37726\n25655 38323\n149 223\n41051 61442\n15377 23019\n88194 100000\n22521 33664\n45614 68272\n67538 100000\n1784 2684\n85051 100000\n81814 100000\n82905 100000\n90294 100000\n75821 100000\n74805 100000\n82006 100000\n90860 100000\n34075 50929\n36567 54675\n44062 65941\n91354 100000\n600 915\n37508 56084\n17573 26286\n81587 100000\n61910 92881\n29501 44065\n9762 14648\n54561 81790\n88773 100000\n36678 54828\n50003 74909\n18770 28079\n58486 87726\n80874 100000\n7366 11028\n64834 97239\n15275 22869\n73964 100000\n63653 95476\n71217 100000\n60984 91471\n64334 96491\n97112 100000\n11010 16511\n830 1260\n89255 100000\n73997 100000\n18219 27262\n34948 52247\n45695 68396\n53947 80863\n69401 100000\n77869 100000\n24256 36273\n66563 99874\n35407 52932\n99605 100000\n63163 94742\n59921 89875\n10139 15207\n19689 29436\n71854 100000\n12929 19380\n80233 100000\n3609 5424\n5931 8876\n34116 50990\n26336 39371\n73063 100000\n61737 92611\n76656 100000\n19774 29560\n19120 28590\n76322 100000\n2957 4454\n56913 85315\n10942 16411\n56233 84291\n47983 71863\n60907 91364\n78630 100000\n67974 100000\n42964 64286\n93037 100000\n10155 15232\n60871 91308\n24318 36362\n51052 76485\n16245 24324\n57276 85886\n87852 100000\n99444 100000\n94006 100000\n65798 98700\n54193 81240\n25825 38584\n71913 100000\n43110 64500\n53061 79521\n90166 100000\n71262 100000\n99287 100000\n83419 100000\n96332 100000\n36157 54057\n33000 49337\n39033 58412\n58032 87037\n31309 46814\n1405 2129\n18548 27746\n6641 9936\n70196 100000\n34555 51664\n21225 31731\n18685 27952\n62439 93667\n46866 70172\n57063 85550\n87758 100000\n47380 70952\n34972 52278\n3823 5753\n15846 23724\n43167 64586\n41468 62059\n76721 100000\n61724 92590\n39260 58766\n19541 29210\n91258 100000\n55493 83185\n38150 57063\n49184 73672\n57518 86255\n62467 93707\n70349 100000\n27070 40455\n78542 100000\n41021 61400\n67233 100000\n19102 28563\n42746 63962\n68855 100000\n99229 100000\n4307 6473\n97624 100000\n19697 29449\n81529 100000\n93439 100000\n54774 82118\n66487 99755\n77593 100000\n44900 67187\n57117 85632\n33096 49486\n2498 3767\n14448 21642\n33565 50173\n93882 100000\n98649 100000\n45351 67874\n93219 100000\n72918 100000\n64732 97089\n8040 12038\n13701 20519\n76032 100000\n49875 74726\n58123 87176\n47343 70890\n62371 93579\n62142 93237\n62019 93041\n37286 55754\n10269 15413\n1982 2979\n60726 91092\n37009 55334\n97049 100000\n95802 100000\n3658 5494\n63529 95284\n68059 100000\n86078 100000\n12498 18737\n5193 7801\n25956 38781\n60045 90070\n29070 43433\n18704 27982\n79178 100000\n17000 25428\n91823 100000\n21395 31982\n73284 100000\n34320 51298\n30076 44950\n19196 28703\n32321 48335\n28017 41863\n31392 46939\n26660 39841\n99944 100000\n3918 5906\n24222 36225\n55389 83035\n53677 80465\n28270 42247\n34916 52197\n55553 83277\n64689 97023\n6043 9046\n83092 100000\n39212 58686\n77878 100000\n82929 100000\n94915 100000\n13622 20408\n2688 4051\n61202 91813\n15387 23035\n88662 100000\n5275 7917\n6185 9257\n13799 20666\n68707 100000\n44962 67284\n8329 12469\n84076 100000\n37834 56583\n48512 72644\n55075 82577\n21760 32535\n10655 15986\n17332 25934\n92736 100000\n91771 100000\n74480 100000\n88173 100000\n87299 100000\n67497 100000\n70435 100000\n21168 31650\n20032 29949\n97635 100000\n59421 89119\n19584 29278\n96920 100000\n97247 100000\n69744 100000\n12844 19255\n15528 23251\n25281 37771\n73437 100000\n94704 100000\n42976 64302\n87018 100000\n27823 41571\n65279 97916\n37533 56119\n15494 23198\n41804 62545\n32359 48388\n56319 84428\n73047 100000\n81466 100000\n5652 8473\n61163 91753\n4465 6710\n75711 100000\n51897 77773\n22140 33091\n70339 100000\n54922 82342\n94159 100000\n46935 70272\n19182 28680\n30524 45626\n60923 91383\n72239 100000\n98773 100000\n65773 98663\n74344 100000\n99495 100000\n19221 28738\n10562 15850\n34213 51140\n62765 94147\n72574 100000\n40094 60004\n46665 69873\n31753 47484\n70834 100000\n80351 100000\n42909 64204\n99640 100000\n48812 73099\n19973 29862\n88788 100000\n90211 100000\n2007 3021\n36857 55103\n46111 69025\n76361 100000\n88314 100000\n51384 76993\n74401 100000\n86213 100000\n64966 97432\n20273 30319\n35197 52614\n48676 72897\n33169 49592\n78632 100000\n38601 57758\n40806 61072\n26341 39377\n19126 28601\n48441 72536\n54061 81042\n45042 67404\n36574 54684\n2721 4101\n4915 7386\n99249 100000\n48329 72372\n43541 65149\n67345 100000\n93313 100000\n93390 100000\n69525 100000\n99748 100000\n18813 28142\n78733 100000\n21532 32194\n93281 100000\n88242 100000\n96254 100000\n17691 26465\n28154 42072\n34607 51742\n14757 22090\n44 62\n60956 91431\n9821 14734\n10690 16040\n85149 100000\n88816 100000\n39515 59140\n95124 100000\n7618 11403\n33671 50325\n11965 17944\n55103 82621\n56807 85155\n16019 23990\n66999 100000\n69220 100000\n18180 27202\n31375 46912\n75697 100000\n63692 95532\n76458 100000\n99459 100000\n12468 18695\n27171 40602\n21076 31515\n11409 17105\n33568 50178\n4932 7413\n84317 100000\n17535 26232\n68294 100000\n26150 39081\n30003 44846\n69463 100000\n82278 100000\n47996 71883\n5297 7949\n95137 100000\n20636 30862\n38401 57448\n94455 100000\n60612 90921\n89084 100000\n25528 38139\n33331 49826\n5139 7713\n66053 99089\n76201 100000\n84518 100000\n8817 13215\n15311 22925\n71776 100000\n84584 100000\n49958 74842\n55899 83796\n33805 50518\n83360 100000\n97910 100000\n62281 93447\n19869 29704\n24738 36971\n40972 61320\n59275 88888\n83818 100000\n96465 100000\n82851 100000\n55770 83612\n87879 100000\n54004 80950\n71580 100000\n52764 79086\n19339 28914\n12300 18449\n79014 100000\n77470 100000\n63225 94833\n59018 88506\n32171 48109\n72550 100000\n3322 5000\n83361 100000\n26549 39684\n7124 10656\n51843 77698\n59948 89919\n44914 67211\n22146 33100\n71836 100000\n72482 100000\n14157 21205\n494 747\n37719 56407\n8983 13472\n13788 20650\n86917 100000\n92885 100000\n22378 33442\n49985 74880\n83117 100000\n41782 62512\n69417 100000\n71549 100000\n50467 75614\n27756 41469\n22309 33339\n75058 100000\n70860 100000\n17279 25854\n21079 31519\n68319 100000\n95921 100000\n57507 86236\n30240 45197\n77951 100000\n14625 21895\n99625 100000\n76729 100000\n29560 44155\n12766 19140\n74741 100000\n5232 7858\n85804 100000\n29990 44824\n29332 43816\n88258 100000\n59823 89728\n27333 40839\n14343 21486\n7685 11506\n47169 70627\n41924 62724\n53101 79583\n70299 100000\n25972 38807\n84435 100000\n90607 100000\n64993 97475\n71052 100000\n64152 96218\n32746 48960\n99741 100000\n62365 93571\n20386 30487\n81536 100000\n25983 38823\n86210 100000\n81668 100000\n36387 54412\n70137 100000\n47635 71333\n99630 100000\n4865 7318\n14152 21197\n44675 66857\n68929 100000\n71375 100000\n98739 100000\n36082 53944\n33390 49912\n58652 87970\n50617 75835\n15360 22994\n94627 100000\n70944 100000\n37253 55705\n28363 42384\n78662 100000\n7939 11889\n75169 100000\n83437 100000\n44050 65922\n66566 99878\n15223 22788\n15700 23514\n43435 64990\n68779 100000\n13736 20570\n76354 100000\n54103 81104\n39896 59714\n99312 100000\n6695 10017\n61605 92412\n87994 100000\n11259 16881\n5184 7788\n77155 100000\n15240 22813\n79311 100000\n49635 74364\n49202 73700\n90733 100000\n95744 100000\n72846 100000\n1001 1532\n30155 45067\n67464 100000\n88329 100000\n88047 100000\n49598 74315\n42032 62882\n33617 50249\n57604 86388\n26381 39434\n59476 89204\n98897 100000\n92821 100000\n60939 91406\n16607 24844\n17498 26179\n39316 58847\n69957 100000\n74171 100000\n34255 51201\n65246 97868\n18998 28414\n324 484\n25795 38536\n59675 89507\n5136 7709\n48651 72860\n86035 100000\n60882 91327\n12890 19324\n73937 100000\n5527 8285\n61272 91927\n45587 68233\n19327 28897\n29713 44404\n70018 100000\n55961 83893\n68230 100000\n79510 100000\n62161 93266\n48219 72212\n15866 23756\n78505 100000\n90986 100000\n32792 49030\n79312 100000\n26130 39051\n68456 100000\n50134 75107\n69895 100000\n6147 9203\n73671 100000\n87023 100000\n91189 100000\n54679 81972\n40197 60161\n6885 10298\n16831 25169\n5346 8022\n90280 100000\n80739 100000\n61466 92204\n56344 84468\n88295 100000\n64678 97006\n99336 100000\n97363 100000\n18742 28037\n80458 100000\n42251 63215\n37670 56328\n12068 18107\n30890 46178\n71344 100000\n3017 4547\n53570 80296\n15172 22712\n75279 100000\n30594 45726\n70284 100000\n87001 100000\n68245 100000\n98075 100000\n12482 18713\n73088 100000\n26276 39279\n66425 99661\n30336 45344\n25826 38586\n83851 100000\n79377 100000\n86957 100000\n66323 99500\n29305 43775\n73463 100000\n17607 26339\n34686 51860\n83649 100000\n25366 37900\n6721 10055\n71825 100000\n62360 93562\n64948 97409\n88469 100000\n81091 100000\n86140 100000\n55814 83671\n99868 100000\n79054 100000\n36425 54471\n68421 100000\n659 1008\n94400 100000\n10252 15384\n55128 82657\n28693 42872\n55111 82633\n65780 98674\n44704 66899\n62488 93736\n27677 41349\n58167 87235\n61655 92486\n5063 7603\n21264 31787\n82086 100000\n49227 73742\n76930 100000\n8831 13234\n80913 100000\n74221 100000\n14738 22065\n74800 100000\n39285 58802\n53147 79653\n14456 21655\n71741 100000\n90614 100000\n79186 100000\n77947 100000\n74279 100000\n98240 100000\n6357 9518\n84671 100000\n55057 82551\n14776 22118\n20218 30234\n29596 44210\n83474 100000\n11550 17317\n81339 100000\n58006 87002\n83269 100000\n16667 24931\n25616 38266\n87614 100000\n87479 100000\n75282 100000\n51929 77823\n14020 20998\n16738 25039\n27647 41312\n80306 100000\n41748 62465\n83424 100000\n42094 62976\n98815 100000\n84612 100000\n26851 40121\n60374 90561\n73816 100000\n94350 100000\n62217 93352\n2841 4285\n96327 100000\n39482 59090\n76193 100000\n91965 100000\n30465 45540\n3871 5828\n3633 5455\n20180 30176\n28486 42551\n93287 100000\n52551 78769\n58114 87165\n19136 28617\n27706 41390\n64005 95999\n67804 100000\n71805 100000\n26802 40050\n51497 77161\n73226 100000\n79348 100000\n27212 40657\n1279 1943\n25224 37682\n62455 93691\n76840 100000\n78957 100000\n82642 100000\n16232 24304\n18740 28033\n36988 55299\n77723 100000\n63496 95237\n40396 60460\n99452 100000\n41135 61569\n92358 100000\n89296 100000\n22473 33591\n6528 9760\n8144 12194\n10469 15704\n81179 100000\n26164 39101\n8364 12518\n30246 45205\n4114 6193\n78712 100000\n87078 100000\n89067 100000\n28798 43026\n72134 100000\n33787 50492\n90271 100000\n64973 97442\n45099 67489\n29915 44710\n18902 28275\n16792 25114\n76994 100000\n90473 100000\n7075 10583\n28928 43224\n14182 21245\n61795 92700\n67605 100000\n88497 100000\n97609 100000\n31060 46442\n95613 100000\n10560 15846\n81719 100000\n45221 67677\n88031 100000\n89973 100000\n46129 69050\n63587 95373\n92173 100000\n87475 100000\n8185 12255\n67988 100000\n34342 51329\n99545 100000\n48523 72662\n6289 9413\n52899 79278\n5948 8900\n97459 100000\n40011 59879\n23888 35724\n55371 83010\n3366 5064\n66920 100000\n71813 100000\n66321 99498\n24717 36942\n8467 12675\n56862 85240\n13646 20444\n83990 100000\n62256 93408\n2473 3733\n7180 10743\n76137 100000\n66628 99973\n55827 83691\n3817 5744\n55346 82974\n23244 34758\n86527 100000\n29995 44833\n17404 26041\n25138 37555\n93499 100000\n82249 100000\n13367 20033\n85789 100000\n39684 59396\n24233 36238\n56950 85376\n54646 81924\n4960 7450\n94709 100000\n45661 68342\n47853 71666\n14027 21008\n15045 22521\n82505 100000\n2699 4068\n4708 7081\n79741 100000\n60015 90022\n18771 28080\n46127 69047\n67900 100000\n58773 88150\n93985 100000\n23024 34424\n87597 100000\n34910 52189\n26773 40007\n50161 75148\n74739 100000\n27539 41145\n95089 100000\n22329 33367\n59707 89554\n49481 74130\n98712 100000\n59640 89455\n14443 21634\n4686 7047\n81827 100000\n34464 51517\n73721 100000\n62050 93091\n50517 75689\n27729 41428\n13791 20654\n32856 49120\n95878 100000\n85645 100000\n43802 65550\n88374 100000\n72149 100000\n95331 100000\n17313 25905\n5881 8800\n1760 2650\n96595 100000\n54886 82286\n85367 100000\n18171 27190\n82096 100000\n3186 4804\n21979 32852\n39518 59144\n31279 46768\n26960 40289\n7852 11753\n99492 100000\n77749 100000\n83396 100000\n9171 13762\n51866 77730\n58405 87610\n22172 33140\n76986 100000\n43119 64516\n53800 80641\n58611 87908\n92034 100000\n73669 100000\n20255 30295\n21431 32038\n53045 79498\n83005 100000\n30014 44862\n32972 49295\n3439 5178\n81259 100000\n22162 33122\n27627 41282\n87162 100000\n71465 100000\n19449 29085\n46617 69797\n45926 68751\n34049 50889\n1376 2087\n51978 77898\n76554 100000\n2180 3285\n27887 41669\n66924 100000\n54680 81973\n59286 88905\n60157 90238\n73117 100000\n92638 100000\n25451 38028\n19009 28427\n50851 76178\n25365 37898\n7106 10626\n47525 71173\n26576 39724\n51146 76625\n94651 100000\n35803 53526\n8484 12699\n89703 100000\n20545 30729\n16528 24732\n52397 78535\n4603 6921\n44621 66780\n12484 18716\n93735 100000\n43780 65515\n13829 20713\n86075 100000\n30984 46323\n8381 12549\n26230 39204\n79550 100000\n61544 92326\n47273 70782\n59464 89186\n62466 93706\n48337 72384\n28026 41878\n47744 71500\n12125 18193\n71096 100000\n73844 100000\n87117 100000\n83320 100000\n28198 42141\n45161 67584\n4110 6186\n99871 100000\n62341 93537\n48726 72972\n51381 76989\n4955 7443\n20217 30232\n36775 54971\n98784 100000\n6823 10207\n72268 100000\n13294 19920\n56818 85171\n64004 95998\n59521 89271\n68937 100000\n29422 43948\n20798 31095\n12559 18827\n75457 100000\n38596 57751\n41205 61675\n49984 74878\n24876 37173\n23928 35788\n54694 81995\n10649 15978\n65841 98762\n19517 29174\n7108 10630\n76341 100000\n91357 100000\n597 909\n36088 53955\n34256 51203\n33412 49943\n15130 22647\n97876 100000\n71932 100000\n94384 100000\n4678 7035\n32692 48878\n33722 50400\n77981 100000\n91726 100000\n43410 64951\n31952 47778\n75113 100000\n64264 96386\n12487 18722\n3906 5886\n74497 100000\n5648 8467\n76860 100000\n56654 84929\n7953 11911\n41105 61524\n74123 100000\n93665 100000\n33107 49501\n28213 42166\n50325 75399\n11055 16575\n28238 42204\n61833 92760\n33362 49870\n44463 66541\n43233 64689\n59028 88517\n42279 63261\n69316 100000\n9314 13976\n99368 100000\n93810 100000\n31843 47612\n55759 83593\n14096 21112\n4445 6678\n24689 36895\n53158 79668\n49537 74216\n99381 100000\n42074 62947\n64684 97015\n76637 100000\n32825 49079\n68591 100000\n25141 37558\n3075 4636\n10350 15528\n69283 100000\n48542 72693\n29102 43482\n81239 100000\n53659 80438\n98711 100000\n906 1380\n43938 65763\n90310 100000\n49238 73760\n75806 100000\n29599 44216\n32646 48810\n61300 91966\n79826 100000\n47697 71425\n8744 13101\n33420 49951\n91469 100000\n41256 61751\n44602 66754\n54291 81380\n77798 100000\n85639 100000\n34847 52094\n84738 100000\n26934 40250\n15711 23533\n25789 38527\n22804 34096\n84048 100000\n45731 68448\n61410 92130\n35409 52935\n42195 63132\n25760 38483\n35164 52564\n35814 53540\n94739 100000\n56767 85094\n60733 91101\n15304 22915\n31938 47755\n11953 17928\n25351 37874\n34060 50905\n90229 100000\n23333 34892\n90449 100000\n27188 40623\n67910 100000\n33099 49489\n9418 14127\n68183 100000\n49681 74432\n95266 100000\n31792 47539\n96040 100000\n37675 56337\n37 52\n63394 95091\n35328 52815\n29992 44827\n49534 74212\n27714 41403\n50595 75806\n87740 100000\n94360 100000\n78133 100000\n76683 100000\n63804 95695\n15363 22998\n17136 25633\n47868 71688\n31374 46911\n72672 100000\n37194 55620\n79179 100000\n9145 13720\n43316 64811\n51160 76647\n49596 74312\n49193 73686\n89570 100000\n51105 76567\n99364 100000\n49709 74476\n63559 95333\n4801 7223\n91080 100000\n95317 100000\n21515 32167\n72078 100000\n61783 92680\n29531 44113\n19101 28561\n10840 16253\n98881 100000\n88844 100000\n15790 23646\n40373 60422\n15648 23435\n26553 39691\n51963 77876\n78473 100000\n31937 47754\n55176 82726\n16634 24883\n47913 71757\n46445 69540\n68418 100000\n11318 16970\n14183 21246\n89822 100000\n1638 2479\n74127 100000\n55663 83444\n67703 100000\n97632 100000\n80190 100000\n99401 100000\n78391 100000\n47367 70930\n41917 62713\n55914 83820\n84710 100000\n70388 100000\n95732 100000\n92078 100000\n25860 38639\n90390 100000\n19679 29422\n22504 33637\n44421 66477\n16047 24030\n39767 59519\n1518 2302\n60012 90019\n80083 100000\n90013 100000\n65096 97630\n53562 80285\n583 885\n80991 100000\n89976 100000\n45166 67593\n61673 92516\n2784 4200\n18053 27018\n18599 27821\n38901 58207\n64663 96984\n14671 21961\n84090 100000\n89532 100000\n23130 34587\n15179 22724\n2034 3063\n85010 100000\n64243 96355\n52282 78364\n8546 12793\n4728 7113\n37587 56201\n28540 42633\n83831 100000\n57873 86799\n29696 44376\n24884 37184\n52468 78639\n33360 49868\n10385 15582\n79659 100000\n16076 24077\n24811 37076\n84046 100000\n47255 70757\n2176 3278\n43371 64891\n18282 27355\n76825 100000\n73871 100000\n46162 69101\n51559 77255\n97789 100000\n74930 100000\n12447 18666\n67633 100000\n71020 100000\n22236 33227\n68611 100000\n30883 46167\n10603 15910\n28908 43196\n39536 59168\n9868 14803\n93993 100000\n37297 55768\n93161 100000\n7635 11426\n39653 59349\n28737 42934\n59162 88720\n14902 22314\n16798 25124\n65786 98684\n87286 100000\n74397 100000\n94563 100000\n92253 100000\n36828 55056\n67863 100000\n79991 100000\n72899 100000\n9604 14397\n64756 97126\n79864 100000\n47440 71045\n52320 78418\n37664 56319\n91303 100000\n39470 59072\n82882 100000\n70283 100000\n31533 47154\n75716 100000\n5642 8456\n85810 100000\n63948 95915\n39055 58444\n60996 91488\n85063 100000\n46817 70100\n67164 100000\n52214 78249\n43314 64808\n4325 6500\n47131 70568\n96706 100000\n54850 82230\n95998 100000\n94382 100000\n91920 100000\n75099 100000\n30587 45714\n86461 100000\n50408 75521\n30914 46215\n63313 94971\n54539 81756\n9664 14491\n76250 100000\n4093 6163\n40090 59997\n53574 80302\n15178 22723\n36663 54811\n26583 39733\n46355 69395\n79431 100000\n52733 79039\n80496 100000\n92964 100000\n95475 100000\n95548 100000\n6250 9351\n44519 66627\n22339 33382\n44181 66120\n33819 50538\n20036 29955\n9081 13624\n77585 100000\n93075 100000\n43534 65137\n83401 100000\n34059 50904\n93275 100000\n68566 100000\n43496 65079\n37102 55480\n10118 15177\n7301 10929\n35842 53580\n51088 76543\n85167 100000\n75801 100000\n49004 73390\n55731 83552\n7328 10969\n38164 57086\n73395 100000\n61276 91935\n29510 44079\n48514 72648\n17571 26283\n68730 100000\n25807 38556\n89663 100000\n11601 17393\n99964 100000\n14427 21611\n73139 100000\n70344 100000\n30085 44963\n36696 54852\n44185 66125\n72980 100000\n97864 100000\n7792 11664\n75743 100000\n90456 100000\n74596 100000\n72855 100000\n51569 77269\n84855 100000\n10273 15418\n51550 77242\n81423 100000\n63551 95319\n84895 100000\n21471 32099\n71267 100000\n85310 100000\n88338 100000\n18041 27003\n92935 100000\n97232 100000\n89722 100000\n75932 100000\n76101 100000\n78116 100000\n95620 100000\n11551 17318\n45692 68391\n73813 100000\n40009 59877\n69517 100000\n52548 78764\n2504 3777\n6216 9303\n21496 32135\n57222 85803\n92048 100000\n1442 2183\n70926 100000\n8143 12193\n32847 49109\n97252 100000\n63257 94884\n77078 100000\n2659 4006\n48022 71916\n9580 14362\n32282 48274\n31412 46967\n69599 100000\n84358 100000\n23839 35648\n50335 75415\n59393 89074\n55074 82576\n14230 21316\n82999 100000\n6537 9772\n38259 57234\n5164 7756\n24867 37157\n83400 100000\n27874 41649\n13811 20685\n28350 42367\n36934 55217\n97267 100000\n79083 100000\n82583 100000\n13396 20075\n22150 33106\n38436 57503\n68632 100000\n60259 90392\n40501 60617\n14812 22171\n46658 69861\n10072 15111\n67177 100000\n68744 100000\n12908 19351\n13193 19769\n75960 100000\n5944 8895\n86996 100000\n13742 20579\n48143 72101\n24146 36113\n76405 100000\n4723 7104\n86161 100000\n43162 64578\n66490 99758\n98744 100000\n46293 69300\n23794 35581\n94088 100000\n25527 38137\n48522 72660\n55082 82588\n59406 89093\n64255 96374\n93309 100000\n64639 96950\n86976 100000\n97788 100000\n70737 100000\n23362 34935\n54911 82325\n99517 100000\n83249 100000\n85345 100000\n67898 100000\n36607 54732\n75706 100000\n15708 23528\n96776 100000\n4127 6211\n16458 24626\n91977 100000\n12045 18071\n60120 90182\n12532 18788\n96067 100000\n75700 100000\n27545 41154\n43545 65155\n10138 15205\n97200 100000\n60825 91241\n86351 100000\n41800 62540\n81862 100000\n76294 100000\n30283 45266\n30480 45560\n79291 100000\n99663 100000\n36101 53976\n11341 17002\n18193 27223\n71616 100000\n37308 55785\n99073 100000\n2396 3616\n29684 44358\n30630 45784\n49083 73512\n90738 100000\n97548 100000\n56958 85388\n85925 100000\n50915 76278\n6544 9784\n25082 37470\n71633 100000\n10593 15897\n6900 10319\n25023 37379\n30136 45037\n21871 32694\n56835 85195\n40416 60489\n17631 26378\n16177 24222\n31024 46385\n63333 95003\n67583 100000\n91830 100000\n58559 87835\n40913 61231\n25606 38251\n68908 100000\n65749 98628\n47607 71293\n46023 68896\n42517 63613\n58493 87736\n38676 57874\n18660 27911\n99810 100000\n38577 57723\n47520 71166\n21497 32137\n59561 89336\n63385 95079\n87356 100000\n49326 73895\n1567 2372\n91659 100000\n48241 72246\n81606 100000\n67915 100000\n78315 100000\n7905 11835\n83767 100000\n60670 91006\n15736 23568\n87552 100000\n1762 2653\n12903 19343\n21384 31965\n91276 100000\n87665 100000\n44376 66413\n55976 83913\n81783 100000\n20933 31289\n5502 8248\n5949 8902\n93968 100000\n68854 100000\n53157 79667\n71920 100000\n68781 100000\n76407 100000\n76598 100000\n39179 58629\n74358 100000\n69787 100000\n512 777\n2628 3963\n76329 100000\n65498 98249\n81819 100000\n70963 100000\n19276 28825\n90141 100000\n36498 54572\n27138 40556\n20620 30837\n74697 100000\n16971 25386\n93702 100000\n7914 11850\n79379 100000\n26286 39294\n52772 79097\n82670 100000\n90118 100000\n59662 89488\n24544 36681\n15492 23196\n66294 99461\n88985 100000\n4451 6689\n42682 63862\n22268 33275\n36022 53849\n68904 100000\n27487 41065\n78583 100000\n63156 94732\n28401 42433\n79668 100000\n24690 36896\n72865 100000\n95309 100000\n7277 10892\n64386 96564\n45955 68792\n66767 100000\n29413 43934\n16118 24139\n38007 56840\n64019 96020\n82681 100000\n84370 100000\n40520 60645\n20077 30021\n77780 100000\n74640 100000\n54280 81365\n41494 62095\n35360 52863\n36949 55241\n87999 100000\n60940 91408\n32324 48339\n31552 47182\n35872 53623\n84672 100000\n97716 100000\n3469 5226\n93690 100000\n80325 100000\n59770 89648\n56116 84123\n9963 14943\n36285 54247\n16631 24879\n17221 25769\n37203 55634\n38061 56927\n14083 21089\n45053 67419\n35067 52422\n70107 100000\n71985 100000\n58116 87167\n11826 17728\n17977 26905\n22363 33421\n55362 82995\n80745 100000\n10639 15963\n88800 100000\n54639 81911\n57781 86664\n91495 100000\n68879 100000\n20666 30903\n6419 9605\n91713 100000\n32501 48596\n46563 69717\n93812 100000\n9389 14081\n72104 100000\n95906 100000\n68525 100000\n70678 100000\n26262 39258\n90145 100000\n58801 88188\n49834 74661\n92761 100000\n83646 100000\n7096 10613\n83657 100000\n7456 11161\n91376 100000\n78423 100000\n66549 99852\n27318 40817\n62832 94250\n29351 43844\n21479 32111\n1275 1937\n72796 100000\n714 1083\n68469 100000\n58496 87740\n99289 100000\n60030 90047\n71810 100000\n52285 78369\n82229 100000\n79093 100000\n71091 100000\n97309 100000\n42755 63974\n90664 100000\n52114 78106\n37617 56244\n50204 75213\n99824 100000\n84114 100000\n44360 66389\n91845 100000\n46465 69571\n47716 71456\n68771 100000\n72789 100000\n93340 100000\n9105 13662\n67998 100000\n76020 100000\n9126 13694\n94812 100000\n90262 100000\n99487 100000\n69184 100000\n55833 83700\n30510 45605\n73230 100000\n75985 100000\n27528 41129\n932 1424\n54060 81041\n34761 51973\n37899 56682\n10126 15187\n42221 63169\n37920 56714\n17272 25843\n94511 100000\n68286 100000\n2063 3108\n74138 100000\n98181 100000\n91990 100000\n63421 95133\n14857 22246\n37245 55694\n68106 100000\n36054 53899\n34899 52173\n71789 100000\n88159 100000\n77312 100000\n57698 86529\n53079 79551\n75826 100000\n11386 17073\n98338 100000\n51294 76851\n44532 66646\n46214 69181\n23628 35332\n54019 80975\n1990 2993\n3830 5764\n77509 100000\n6097 9131\n78508 100000\n71743 100000\n11110 16654\n23581 35260\n92006 100000\n19716 29475\n76988 100000\n90903 100000\n96471 100000\n84449 100000\n71610 100000\n3158 4760\n61903 92869\n21861 32681\n20703 30959\n69172 100000\n75199 100000\n5077 7625\n3164 4766\n38642 57824\n19834 29650\n52591 78830\n99828 100000\n28960 43275\n33184 49615\n6655 9957\n77891 100000\n4258 6406\n22356 33409\n54860 82246\n45962 68803\n68444 100000\n31777 47517\n54186 81232\n48078 71998\n48054 71962\n11691 17531\n36316 54295\n4015 6053\n49795 74606\n97977 100000\n51980 77900\n97666 100000\n93461 100000\n26762 39992\n38674 57870\n96797 100000\n26901 40198\n43511 65103\n67356 100000\n53121 79615\n68278 100000\n10309 15469\n1277 1940\n73369 100000\n80509 100000\n75604 100000\n6423 9611\n18800 28124\n60684 91028\n2172 3272\n31159 46589\n6171 9235\n28725 42917\n37420 55953\n9800 14702\n76852 100000\n13046 19556\n5854 8762\n43614 65267\n80031 100000\n17650 26407\n83751 100000\n70988 100000\n93906 100000\n781 1190\n26945 40265\n54923 82344\n617 938\n17153 25660\n79529 100000\n38153 57068\n61665 92501\n57198 85765\n30313 45310\n43154 64567\n10594 15899\n42309 63309\n64228 96334\n32644 48808\n55168 82715\n60893 91343\n9763 14650\n91958 100000\n46300 69313\n43854 65628\n77504 100000\n61238 91871\n694 1052\n88488 100000\n12100 18156\n44905 67194\n39866 59670\n87983 100000\n16241 24319\n39644 59335\n22561 33728\n64219 96320\n46730 69966\n64263 96385\n81695 100000\n24927 37248\n86870 100000\n17541 26242\n14693 21997\n39164 58608\n16677 24945\n96213 100000\n9496 14244\n91511 100000\n53657 80436\n82158 100000\n79814 100000\n16258 24344\n10519 15781\n5736 8594\n95330 100000\n44295 66290\n22383 33449\n49111 73558\n66693 100000\n39801 59573\n80872 100000\n88033 100000\n24741 36975\n84110 100000\n23356 34925\n46825 70112\n41040 61426\n46620 69801\n62657 93985\n1992 2996\n5217 7835\n70748 100000\n79726 100000\n46267 69264\n82150 100000\n41098 61512\n92842 100000\n16559 24773\n81660 100000\n59290 88913\n1986 2986\n85230 100000\n69061 100000\n96169 100000\n9493 14238\n78149 100000\n13271 19885\n64444 96642\n25097 37495\n89061 100000\n73634 100000\n17158 25667\n98413 100000\n52606 78851\n93571 100000\n33855 50593\n24498 36614\n26006 38859\n45706 68413\n18249 27305\n58463 87692\n9484 14227\n27938 41744\n96655 100000\n19933 29797\n46932 70266\n72939 100000\n68009 100000\n81900 100000\n6405 9586\n78065 100000\n10679 16021\n61017 91520\n5308 7965\n10891 16331\n98940 100000\n74385 100000\n24582 36740\n45580 68222\n82728 100000\n4460 6701\n62609 93919\n94207 100000\n33430 49966\n29063 43424\n49215 73723\n36650 54792\n26518 39641\n42212 63156\n80361 100000\n88904 100000\n55197 82758\n4410 6629\n59441 89150\n17466 26130\n18301 27383\n3350 5039\n77691 100000\n57113 85625\n77151 100000\n7182 10747\n2748 4144\n99413 100000\n70108 100000\n48456 72559\n17432 26082\n46791 70059\n4908 7377\n67246 100000\n23821 35625\n76894 100000\n91487 100000\n28016 41861\n15983 23932\n41140 61575\n92650 100000\n67094 100000\n6346 9501\n66667 100000\n10707 16065\n82874 100000\n50018 74932\n2754 4153\n31442 47014\n19539 29207\n97907 100000\n18162 27175\n39909 59734\n40086 59991\n24659 36856\n80597 100000\n98921 100000\n95127 100000\n88675 100000\n635 968\n44359 66388\n28527 42614\n25739 38453\n83641 100000\n29261 43719\n68293 100000\n50063 74998\n16283 24378\n7368 11031\n70215 100000\n97735 100000\n2766 4170\n9289 13938\n61004 91499\n79173 100000\n2154 3246\n63141 94710\n1309 1987\n56892 85287\n99635 100000\n55784 83631\n13002 19488\n89226 100000\n45847 68628\n67607 100000\n76744 100000\n62074 93133\n68137 100000\n50017 74930\n71187 100000\n97751 100000\n81048 100000\n84772 100000\n53537 80245\n32386 48427\n54677 81969\n81816 100000\n10733 16104\n43427 64977\n95087 100000\n78578 100000\n6750 10098\n17791 26612\n59963 89944\n65413 98118\n51940 77841\n96867 100000\n62160 93265\n38334 57343\n8176 12239\n30318 45317\n92350 100000\n78442 100000\n6429 9618\n68351 100000\n96574 100000\n80047 100000\n59027 88516\n63991 95980\n55251 82835\n27801 41540\n54390 81531\n19914 29770\n62952 94433\n42178 63108\n75907 100000\n68850 100000\n20871 31199\n63319 94980\n70483 100000\n95252 100000\n85995 100000\n72828 100000\n86955 100000\n2826 4260\n95757 100000\n16614 24853\n92501 100000\n40874 61173\n2400 3622\n22238 33230\n58267 87389\n90072 100000\n52739 79047\n95899 100000\n20676 30918\n28836 43089\n85552 100000\n67032 100000\n6021 9018\n48679 72902\n8864 13286\n80800 100000\n4152 6254\n39104 58515\n10058 15089\n1697 2564\n79654 100000\n69711 100000\n51301 76864\n68835 100000\n97889 100000\n53724 80535\n44426 66484\n89926 100000\n30453 45523\n26667 39851\n75818 100000\n35377 52884\n83691 100000\n95449 100000\n39487 59097\n44504 66606\n83417 100000\n93846 100000\n88144 100000\n2875 4332\n45523 68136\n33177 49603\n85330 100000\n5787 8666\n93578 100000\n85407 100000\n74337 100000\n66109 99173\n57613 86401\n89484 100000\n47706 71442\n37197 55626\n98511 100000\n60070 90104\n91809 100000\n24761 37002\n1283 1949\n72030 100000\n26879 40164\n83291 100000\n72419 100000\n26206 39168\n11544 17308\n74136 100000\n52265 78335\n71793 100000\n11171 16741\n21215 31718\n64602 96897\n56481 84673\n16682 24953\n476 719\n91309 100000\n26469 39565\n31819 47579\n25174 37608\n39243 58738\n2014 3030\n39571 59225\n14125 21154\n73236 100000\n50169 75159\n37632 56268\n99250 100000\n15059 22545\n99000 100000\n59809 89706\n5640 8453\n77099 100000\n8355 12507\n28539 42631\n9695 14541\n34902 52177\n96470 100000\n16021 23993\n85750 100000\n31277 46765\n93765 100000\n7653 11456\n33557 50161\n60837 91259\n84022 100000\n47701 71433\n57347 85993\n59014 88501\n97455 100000\n84894 100000\n64024 96027\n69124 100000\n96783 100000\n78727 100000\n8883 13313\n92798 100000\n82299 100000\n31560 47192\n95948 100000\n19574 29264\n58007 87004\n74583 100000\n48943 73297\n59130 88670\n86472 100000\n28763 42971\n22759 34033\n98914 100000\n48072 71989\n63867 95790\n7779 11644\n39958 59803\n13393 20071\n18668 27923\n91927 100000\n90893 100000\n81844 100000\n20688 30935\n82048 100000\n90124 100000\n1624 2460\n84662 100000\n79895 100000\n36237 54173\n2140 3227\n19393 28999\n78744 100000\n21927 32777\n51939 77839\n59003 88485\n67722 100000\n13087 19615\n41515 62128\n23232 34740\n8903 13343\n30644 45805\n14311 21442\n5352 8031\n50714 75971\n56908 85309\n60384 90575\n34506 51588\n95117 100000\n24114 36064\n8646 12947\n88015 100000\n16408 24557\n92434 100000\n14579 21831\n49588 74297\n7761 11615\n50669 75908\n22276 33287\n27095 40491\n5075 7621\n88306 100000\n59283 88902\n13524 20266\n32224 48191\n73644 100000\n3504 5276\n21533 32196\n70870 100000\n80712 100000\n65878 98817\n69060 100000\n28865 43134\n25937 38752\n5889 8813\n31828 47589\n31989 47831\n14575 21827\n55709 83515\n73367 100000\n41980 62802\n20786 31079\n12919 19367\n47198 70667\n39934 59768\n31035 46403\n90747 100000\n2806 4231\n52148 78157\n17922 26821\n59115 88648\n98852 100000\n81109 100000\n57161 85708\n96908 100000\n42186 63119\n1482 2246\n14590 21845\n27880 41658\n71472 100000\n47892 71725\n6293 9417\n33258 49721\n21549 32220\n47344 70892\n71783 100000\n97911 100000\n14089 21098\n30449 45515\n37162 55571\n78927 100000\n45937 68766\n47066 70463\n65337 98000\n23174 34649\n54526 81734\n28883 43160\n31100 46500\n34502 51582\n10892 16333\n28508 42581\n54260 81338\n92520 100000\n51913 77797\n44047 65917\n87200 100000\n5623 8428\n86463 100000\n16519 24717\n68532 100000\n9091 13639\n32838 49096\n58987 88461\n26758 39986\n73838 100000\n47993 71877\n45122 67526\n43990 65835\n9328 13997\n11692 17532\n11719 17573\n37210 55644\n99483 100000\n95500 100000\n15976 23921\n58164 87231\n73487 100000\n25440 38012\n40483 60588\n53494 80180\n22524 33668\n74675 100000\n97006 100000\n48678 72900\n42137 63045\n22610 33803\n70889 100000\n25359 37888\n24801 37063\n13885 20794\n62164 93271\n60878 91320\n13672 20477\n80415 100000\n98731 100000\n16362 24491\n47067 70464\n64486 96709\n44772 67001\n86717 100000\n65126 97680\n355 532\n98976 100000\n61446 92179\n78250 100000\n34146 51035\n23678 35406\n98943 100000\n68597 100000\n8539 12782\n52092 78071\n92281 100000\n64828 97230\n36660 54807\n44773 67003\n60794 91192\n64661 96981\n29612 44236\n39022 58396\n49828 74653\n70936 100000\n93026 100000\n10250 15381\n99946 100000\n88450 100000\n41392 61951\n72218 100000\n62868 94306\n84117 100000\n29052 43410\n62565 93855\n95537 100000\n51123 76594\n49916 74784\n27869 41642\n7419 11106\n69071 100000\n31565 47198\n17799 26623\n42530 63630\n33776 50473\n99422 100000\n94640 100000\n4474 6725\n49327 73896\n22 32\n46939 70276\n1111 1698\n26020 38882\n74882 100000\n18968 28372\n25333 37847\n31988 47830\n64269 96392\n34533 51630\n89611 100000\n8220 12305\n46354 69394\n19633 29352\n18138 27143\n81267 100000\n46584 69747\n38726 57947\n59345 88998\n96357 100000\n30777 46013\n61192 91796\n80797 100000\n6821 10203\n67523 100000\n31059 46441\n10434 15654\n79870 100000\n68697 100000\n87203 100000\n46627 69812\n45230 67691\n3667 5510\n21692 32431\n439 663\n48842 73140\n84501 100000\n54357 81482\n87549 100000\n93202 100000\n75861 100000\n96172 100000\n42926 64229\n47143 70587\n65242 97861\n94114 100000\n32122 48034\n2441 3684\n47301 70822\n51876 77744\n92155 100000\n89916 100000\n27996 41831\n27766 41484\n81511 100000\n17766 26578\n91297 100000\n70065 100000\n8328 12467\n10257 15393\n52119 78114\n81013 100000\n76572 100000\n30368 45394\n36878 55136\n55806 83658\n39085 58486\n49866 74711\n89709 100000\n52524 78724\n84084 100000\n96495 100000\n83656 100000\n5467 8196\n49434 74060\n32326 48343\n67955 100000\n99761 100000\n27029 40392\n34652 51807\n78554 100000\n2206 3329\n26665 39848\n36935 55219\n18030 26985\n45916 68735\n63273 94907\n61334 92021\n9460 14193\n29110 43492\n43347 64854\n74618 100000\n67333 100000\n99306 100000\n71840 100000\n77830 100000\n72620 100000\n62494 93747\n89052 100000\n40153 60092\n83887 100000\n98472 100000\n79256 100000\n74125 100000\n47462 71076\n76012 100000\n73474 100000\n71546 100000\n67123 100000\n74814 100000\n47957 71821\n8617 12900\n65286 97927\n29216 43651\n81649 100000\n2337 3525\n20749 31021\n22510 33645\n51575 77279\n7013 10489\n30815 46070\n55990 83933\n46459 69560\n57878 86806\n23649 35360\n81055 100000\n65244 97864\n44369 66402\n12269 18402\n62184 93302\n37128 55516\n96046 100000\n33976 50777\n61130 91696\n88087 100000\n58248 87362\n81260 100000\n20076 30020\n74873 100000\n54314 81414\n60416 90623\n16267 24355\n23558 35226\n59467 89192\n70518 100000\n24315 36358\n94263 100000\n68588 100000\n60535 90808\n7139 10677\n60049 90075\n39975 59827\n36735 54914\n45190 67630\n61803 92710\n22359 33413\n6866 10271\n40903 61216\n87619 100000\n1847 2778\n10553 15833\n86809 100000\n86495 100000\n92372 100000\n68005 100000\n77726 100000\n93942 100000\n70155 100000\n88118 100000\n87000 100000\n79905 100000\n31391 46937\n18805 28131\n47056 70449\n68262 100000\n93847 100000\n20566 30760\n4667 7017\n9577 14359\n28041 41898\n48840 73138\n7086 10598\n17287 25865\n6253 9356\n68393 100000\n44815 67060\n69103 100000\n52985 79411\n47763 71531\n33347 49850\n5574 8360\n62332 93522\n31190 46631\n5424 8135\n74569 100000\n83532 100000\n58991 88468\n52972 79396\n18657 27906\n16733 25032\n3281 4944\n58494 87737\n70195 100000\n72176 100000\n56464 84649\n43360 64873\n1100 1681\n82829 100000\n25683 38367\n33966 50762\n95791 100000\n39367 58921\n99194 100000\n11286 16920\n68233 100000\n96955 100000\n34931 52224\n69194 100000\n22166 33129\n63912 95856\n11198 16790\n84224 100000\n70615 100000\n14876 22273\n21368 31940\n37465 56019\n57824 86730\n88369 100000\n71244 100000\n96452 100000\n9940 14909\n96279 100000\n91019 100000\n81702 100000\n3950 5954\n40289 60287\n2761 4162\n43655 65328\n82668 100000\n10768 16155\n58361 87539\n64956 97422\n39945 59785\n83105 100000\n79117 100000\n63328 94994\n17782 26600\n88356 100000\n99920 100000\n90265 100000\n63652 95475\n44601 66753\n91119 100000\n89129 100000\n18721 28005\n48529 72673\n11301 16945\n78781 100000\n28987 43311\n84540 100000\n31047 46420\n1120 1713\n45607 68261\n96890 100000\n79915 100000\n84182 100000\n10158 15237\n23129 34586\n39786 59550\n82209 100000\n29088 43462\n87468 100000\n79102 100000\n64705 97049\n50197 75202\n56208 84258\n62491 93741\n43223 64674\n66003 99010\n23268 34794\n58313 87463\n75539 100000\n4187 6304\n28171 42099\n43497 65080\n33570 50181\n24940 37267\n20607 30815\n45058 67427\n68933 100000\n94818 100000\n29298 43768\n18148 27156\n51170 76662\n36562 54668\n42170 63096\n48258 72270\n86619 100000\n2134 3217\n25904 38703\n10259 15396\n98896 100000\n18765 28070\n450 679\n96913 100000\n98450 100000\n2609 3935\n49632 74359\n62943 94421\n74191 100000\n28253 42224\n44482 66570\n53636 80401\n64203 96294\n67085 100000\n43668 65347\n74789 100000\n22443 33545\n25061 37439\n51259 76799\n45013 67358\n77008 100000\n39156 58593\n47404 70991\n33080 49460\n59933 89893\n77740 100000\n15124 22639\n71017 100000\n24400 36474\n80716 100000\n15132 22651\n692 1050\n1242 1890\n90259 100000\n741 1130\n18462 27625\n74749 100000\n26918 40227\n60136 90205\n21428 32032\n23625 35327\n26189 39143\n29503 44067\n81603 100000\n24517 36640\n23144 34607\n23547 35213\n33999 50811\n22569 33739\n84858 100000\n56200 84248\n73227 100000\n46539 69680\n95234 100000\n48408 72490\n86475 100000\n14223 21309\n82254 100000\n43991 65836\n91180 100000\n9909 14862\n92765 100000\n16002 23963\n47589 71269\n62928 94398\n26505 39622\n77949 100000\n50015 74927\n77797 100000\n67367 100000\n89160 100000\n90264 100000\n28807 43042\n26127 39046\n54028 80990\n12922 19371\n41230 61711\n64377 96552\n53546 80259\n64280 96408\n60260 90393\n81838 100000\n76669 100000\n53205 79735\n30570 45691\n51920 77809\n52872 79240\n22672 33898\n84511 100000\n26076 38968\n25420 37986\n64530 96782\n92236 100000\n11156 16718\n82659 100000\n34018 50840\n27321 40822\n54521 81726\n1261 1918\n49530 74207\n68154 100000\n84908 100000\n40351 60386\n24855 37139\n11412 17109\n89605 100000\n20976 31355\n55856 83732\n18127 27126\n53617 80369\n24825 37097\n96533 100000\n29587 44197\n22055 32965\n51586 77296\n39873 59682\n64439 96635\n6527 9758\n54835 82209\n85715 100000\n76148 100000\n80882 100000\n94719 100000\n35812 53537\n29474 44025\n83612 100000\n37971 56786\n27585 41215\n68510 100000\n64791 97172\n86970 100000\n81232 100000\n94959 100000\n59834 89741\n34894 52165\n20624 30843\n99568 100000\n8322 12458\n25066 37447\n15197 22750\n14769 22106\n90056 100000\n97903 100000\n56829 85186\n26516 39637\n21797 32589\n78253 100000\n51925 77818\n82509 100000\n60014 90021\n58002 86996\n56702 84996\n43193 64625\n73919 100000\n39498 59114\n472 713\n47389 70968\n86576 100000\n3260 4915\n63898 95838\n42466 63541\n72875 100000\n31447 47020\n94727 100000\n31851 47622\n40687 60893\n37189 55612\n74845 100000\n40126 60051\n84630 100000\n37884 56658\n38416 57469\n3443 5183\n6309 9443\n83638 100000\n55549 83271\n55985 83927\n15880 23776\n18446 27604\n71110 100000\n42887 64171\n6963 10412\n14723 22043\n79035 100000\n13848 20740\n87536 100000\n26800 40046\n29253 43708\n70715 100000\n27343 40853\n1384 2099\n65555 98333\n64787 97168\n51949 77856\n826 1253\n97983 100000\n62188 93307\n47650 71355\n18464 27627\n29665 44326\n96280 100000\n1895 2853\n22666 33891\n43677 65360\n66918 100000\n95260 100000\n26401 39463\n44669 66850\n32341 48364\n5840 8742\n90380 100000\n66220 99344\n94570 100000\n6654 9955\n64302 96439\n49328 73898\n70771 100000\n30877 46160\n64863 97283\n13468 20181\n92367 100000\n66024 99041\n65107 97647\n47673 71388\n95116 100000\n15487 23187\n87014 100000\n81974 100000\n26515 39635\n86812 100000\n4405 6622\n35624 53255\n47618 71308\n80862 100000\n29605 44224\n21373 31948\n63580 95363\n74452 100000\n13484 20203\n33820 50539\n94019 100000\n12423 18629\n88655 100000\n92499 100000\n35287 52749\n39175 58624\n93760 100000\n11449 17169\n84852 100000\n62423 93644\n96818 100000\n80179 100000\n72900 100000\n21740 32504\n23716 35463\n9548 14316\n97291 100000\n23154 34620\n99835 100000\n55271 82866\n23095 34535\n78005 100000\n99854 100000\n19918 29776\n86329 100000\n12874 19301\n83125 100000\n99864 100000\n36279 54239\n9523 14280\n1016 1553\n90779 100000\n44534 66648\n3917 5905\n28039 41896\n16661 24922\n42884 64165\n99496 100000\n95483 100000\n73903 100000\n37440 55983\n70910 100000\n90095 100000\n88905 100000\n44116 66025\n60938 91405\n69092 100000\n65620 98432\n52997 79426\n40725 60946\n47271 70779\n49868 74715\n34515 51602\n30926 46235\n37947 56750\n88498 100000\n57802 86699\n22285 33301\n30605 45743\n76231 100000\n94422 100000\n51674 77429\n71930 100000\n65932 98900\n87130 100000\n65734 98604\n42204 63143\n8848 13263\n79434 100000\n18409 27549\n36149 54046\n96240 100000\n10795 16194\n22397 33472\n49781 74584\n48279 72300\n64381 96557\n65015 97510\n48675 72895\n42781 64013\n65689 98535\n1402 2124\n39870 59677\n66909 100000\n5653 8474\n29873 44646\n82484 100000\n94351 100000\n30116 45008\n95694 100000\n37987 56811\n29819 44561\n87229 100000\n76293 100000\n69310 100000\n95004 100000\n59708 89555\n91576 100000\n33110 49505\n46212 69178\n62193 93315\n45908 68721\n82760 100000\n83410 100000\n92648 100000\n1318 1998\n20721 30981\n97961 100000\n31020 46378\n83857 100000\n9574 14355\n69728 100000\n41724 62430\n69527 100000\n54191 81238\n12505 18747\n64610 96908\n49160 73634\n23054 34472\n74994 100000\n13210 19793\n446 673\n37070 55434\n74398 100000\n57000 85451\n71140 100000\n26791 40031\n54602 81848\n27443 41004\n34729 51925\n94469 100000\n64494 96724\n56824 85179\n22611 33805\n6469 9671\n49547 74232\n22001 32884\n92502 100000\n32785 49018\n30162 45077\n52128 78129\n71666 100000\n82119 100000\n27840 41598\n24021 35928\n72974 100000\n82050 100000\n44652 66824\n89387 100000\n97839 100000\n41316 61841\n44969 67291\n19155 28643\n61002 91496\n70332 100000\n49277 73821\n61174 91771\n38352 57371\n96700 100000\n43071 64438\n89321 100000\n97703 100000\n52473 78645\n8048 12050\n1232 1875\n20720 30980\n8426 12609\n84724 100000\n27612 41259\n54950 82386\n45171 67602\n58027 87032\n79958 100000\n79006 100000\n68646 100000\n48951 73310\n15601 23364\n82720 100000\n84690 100000\n84914 100000\n18316 27404\n2057 3100\n10177 15265\n85388 100000\n22780 34063\n34348 51337\n56889 85282\n78292 100000\n32671 48850\n49562 74256\n7229 10820\n32849 49112\n49430 74054\n53942 80856\n47053 70443\n86951 100000\n14938 22364\n73288 100000\n87816 100000\n70046 100000\n94434 100000\n72815 100000\n81576 100000\n59139 88686\n87011 100000\n52757 79075\n37069 55432\n31208 46656\n8635 12928\n2372 3582\n69026 100000\n39173 58621\n94883 100000\n54997 82461\n56093 84086\n19150 28636\n69701 100000\n68809 100000\n1781 2679\n5929 8872\n40265 60251\n5542 8309\n18849 28192\n95805 100000\n78027 100000\n90409 100000\n61979 92983\n82104 100000\n48663 72878\n94167 100000\n49441 74072\n71146 100000\n16117 24137\n45631 68296\n48873 73189\n9511 14264\n88678 100000\n98829 100000\n52646 78907\n46636 69828\n7521 11268\n21111 31564\n96074 100000\n55276 82873\n30961 46286\n9487 14231\n54361 81489\n99907 100000\n70727 100000\n74352 100000\n9452 14181\n55457 83136\n2750 4146\n83703 100000\n22253 33253\n4856 7304\n18258 27320\n92989 100000\n95547 100000\n99972 100000\n96410 100000\n56891 85286\n285 428\n60238 90362\n46462 69565\n42207 63147\n65211 97812\n37658 56310\n73684 100000\n44153 66076\n96085 100000\n59822 89727\n43820 65577\n5221 7842\n18613 27842\n5024 7549\n21695 32437\n66985 100000\n63830 95733\n54902 82313\n38720 57941\n16341 24461\n8982 13471\n30274 45251\n22388 33457\n49120 73574\n89557 100000\n10991 16481\n96562 100000\n10531 15798\n58648 87965\n73761 100000\n32405 48456\n18151 27160\n31348 46869\n95684 100000\n5956 8915\n39545 59184\n19587 29283\n47878 71702\n23857 35678\n72249 100000\n8321 12456\n79561 100000\n55349 82978\n23919 35773\n62644 93969\n97568 100000\n59030 88520\n80159 100000\n73567 100000\n84882 100000\n25857 38634\n13374 20043\n38267 57246\n79744 100000\n10342 15518\n68441 100000\n22345 33391\n33960 50752\n4057 6112\n62779 94168\n6470 9673\n70732 100000\n70526 100000\n34468 51524\n43960 65789\n19267 28811\n34548 51655\n24251 36266\n4274 6427\n87382 100000\n43030 64377\n41284 61793\n30236 45191\n83103 100000\n8486 12702\n56720 85026\n25554 38176\n65865 98796\n58476 87710\n6414 9599\n4083 6148\n24219 36219\n8343 12489\n14933 22358\n97435 100000\n17198 25734\n4047 6098\n11860 17779\n26815 40070\n31212 46664\n62429 93655\n68077 100000\n81741 100000\n57142 85675\n94419 100000\n15462 23150\n69153 100000\n99982 100000\n21308 31852\n96104 100000\n93708 100000\n98989 100000\n73210 100000\n7092 10607\n57442 86137\n67217 100000\n49655 74391\n674 1028\n65789 98687\n15031 22502\n37874 56642\n80375 100000\n15903 23810\n95864 100000\n4366 6564\n78389 100000\n74623 100000\n85395 100000\n34248 51189\n47992 71875\n71995 100000\n41149 61586\n54381 81519\n71717 100000\n59285 88904\n15366 23002\n83197 100000\n93031 100000\n65545 98318\n80134 100000\n79538 100000\n90984 100000\n88463 100000\n22491 33618\n22459 33569\n75211 100000\n81513 100000\n96107 100000\n55662 83443\n79849 100000\n39658 59358\n30645 45806\n27184 40618\n12224 18336\n12518 18769\n77044 100000\n62620 93935\n94395 100000\n81813 100000\n71376 100000\n24937 37263\n21226 31733\n55169 82716\n18182 27204\n2922 4400\n88466 100000\n55019 82494\n91144 100000\n81296 100000\n40436 60516\n7633 11423\n43050 64406\n25608 38253\n87307 100000\n37221 55660\n27297 40788\n88908 100000\n54960 82400\n26071 38962\n55925 83839\n20025 29937\n42774 64004\n38498 57597\n98515 100000\n56734 85047\n26340 39376\n938 1432\n67872 100000\n87642 100000\n66169 99268\n40238 60215\n42831 64083\n37367 55875\n46838 70133\n12654 18970\n17653 26411\n39035 58414\n68675 100000\n42447 63513\n56519 84731\n84079 100000\n644 981\n46298 69309\n92890 100000\n21771 32549\n45483 68076\n9585 14369\n83438 100000\n4022 6062\n18377 27500\n6226 9318\n66198 99316\n72595 100000\n86289 100000\n49418 74036\n83685 100000\n84300 100000\n79198 100000\n53883 80767\n45969 68813\n96399 100000\n76918 100000\n36845 55084\n26766 39998\n37754 56457\n54827 82198\n78360 100000\n42688 63871\n84980 100000\n17331 25932\n55481 83169\n78817 100000\n6671 9978\n32608 48755\n70622 100000\n18061 27032\n95242 100000\n32985 49314\n43612 65265\n70352 100000\n26869 40148\n95734 100000\n53952 80872\n26972 40307\n93494 100000\n90617 100000\n80964 100000\n61318 91995\n49239 73762\n8511 12739\n15010 22468\n29081 43451\n96011 100000\n74024 100000\n14574 21826\n39841 59631\n7241 10838\n46143 69073\n15447 23128\n59159 88716\n18645 27887\n93187 100000\n64040 96052\n66396 99614\n10575 15869\n20907 31251\n46366 69414\n65522 98281\n4509 6777\n62556 93840\n98851 100000\n89411 100000\n36230 54163\n44834 67087\n24881 37180\n74050 100000\n95011 100000\n58927 88375\n82241 100000\n49098 73537\n94390 100000\n75326 100000\n97062 100000\n24834 37110\n92788 100000\n16898 25276\n32406 48457\n76377 100000\n22431 33525\n44443 66509\n24513 36635\n91587 100000\n18119 27116\n9714 14571\n70606 100000\n33658 50303\n96415 100000\n22314 33346\n27157 40583\n52238 78289\n28731 42926\n4878 7335\n21016 31420\n20159 30147\n80861 100000\n97906 100000\n22552 33715\n17441 26094\n90296 100000\n16172 24216\n93225 100000\n32070 47957\n49592 74305\n88897 100000\n45328 67843\n81295 100000\n74147 100000\n67827 100000\n87492 100000\n34820 52056\n21435 32045\n77660 100000\n89600 100000\n55931 83848\n26045 38920\n36223 54154\n9774 14666\n14186 21252\n79518 100000\n60358 90540\n96108 100000\n99246 100000\n6663 9967\n30328 45332\n22287 33305\n26146 39075\n64467 96676\n64311 96455\n36736 54916\n83626 100000\n90773 100000\n36421 54463\n63403 95107\n61502 92264\n76467 100000\n76845 100000\n93582 100000\n45977 68827\n77109 100000\n2059 3103\n12771 19146\n35699 53371\n67318 100000\n90589 100000\n86157 100000\n83395 100000\n2829 4265\n14794 22144\n23509 35162\n41766 62489\n92066 100000\n67629 100000\n55668 83452\n87050 100000\n99222 100000\n46656 69858\n64943 97402\n38327 57335\n33072 49447\n85574 100000\n42160 63083\n536 813\n22058 32970\n50065 75000\n80041 100000\n35715 53396\n96860 100000\n95462 100000\n79735 100000\n97785 100000\n24809 37074\n94547 100000\n27319 40819\n12917 19364\n75657 100000\n59357 89018\n16490 24668\n94871 100000\n1872 2818\n55920 83831\n17719 26504\n82818 100000\n48327 72370\n53412 80052\n48965 73331\n42706 63899\n16878 25247\n65593 98388\n14997 22448\n87036 100000\n68090 100000\n53192 79714\n82676 100000\n46037 68917\n73689 100000\n76491 100000\n26448 39533\n31134 46551\n8497 12722\n36556 54660\n80275 100000\n52822 79172\n95786 100000\n28853 43116\n85814 100000\n97919 100000\n83559 100000\n67750 100000\n96422 100000\n53454 80117\n43188 64619\n42856 64120\n2929 4411\n13841 20730\n86934 100000\n70419 100000\n33036 49391\n16834 25174\n27106 40507\n96498 100000\n78639 100000\n81986 100000\n42766 63992\n13009 19500\n26062 38947\n85510 100000\n58257 87374\n29116 43501\n88634 100000\n65062 97582\n42946 64259\n36783 54984\n2712 4089\n58087 87123\n37646 56291\n20247 30281\n62010 93026\n98159 100000\n34460 51512\n91054 100000\n56176 84217\n18692 27963\n10884 16321\n29695 44375\n10548 15825\n21586 32274\n24007 35908\n49337 73912\n85760 100000\n24735 36966\n66960 100000\n97172 100000\n58706 88052\n53002 79434\n66434 99674\n2853 4302\n71062 100000\n44714 66913\n54386 81525\n14615 21880\n96686 100000\n23419 35017\n13486 20205\n73547 100000\n14953 22388\n6848 10244\n96082 100000\n64145 96208\n83787 100000\n48311 72348\n62253 93404\n16606 24843\n90569 100000\n95387 100000\n8890 13324\n28759 42967\n19357 28939\n36656 54802\n71263 100000\n85691 100000\n66118 99188\n81133 100000\n87097 100000\n62099 93171\n30483 45566\n86879 100000\n75425 100000\n59105 88631\n15235 22805\n17249 25809\n20276 30324\n2078 3133\n58320 87475\n17448 26102\n43170 64590\n31126 46538\n11665 17491\n43395 64929\n15290 22894\n18750 28047\n79602 100000\n16104 24116\n90081 100000\n93242 100000\n88310 100000\n85033 100000\n28799 43028\n66453 99701\n4391 6599\n64730 97086\n76186 100000\n64112 96162\n46852 70154\n43175 64598\n75892 100000\n47068 70466\n78148 100000\n26046 38921\n76132 100000\n22943 34302\n22908 34251\n15316 22932\n1409 2135\n22904 34247\n17860 26722\n80702 100000\n42657 63827\n55423 83084\n5409 8115\n59680 89513\n67976 100000\n23272 34800\n42454 63523\n72397 100000\n66814 100000\n56976 85412\n105 162\n60501 90757\n56305 84406\n72955 100000\n18188 27214\n17400 26035\n72891 100000\n97641 100000\n14081 21085\n73420 100000\n40702 60913\n38018 56858\n38379 57414\n12485 18718\n60236 90359\n52583 78818\n25358 37886\n649 991\n36575 54686\n41045 61433\n61190 91792\n51772 77583\n15617 23388\n17618 26357\n58507 87756\n20261 30304\n69695 100000\n63921 95871\n11635 17444\n29037 43390\n8968 13447\n58338 87504\n58893 88324\n98164 100000\n63857 95773\n40381 60434\n98509 100000\n81494 100000\n96961 100000\n21984 32858\n98384 100000\n23970 35849\n70053 100000\n13803 20671\n96823 100000\n99684 100000\n82088 100000\n3729 5608\n97050 100000\n84986 100000\n29516 44089\n97769 100000\n90111 100000\n75562 100000\n10916 16370\n34031 50860\n61965 92963\n78631 100000\n31910 47716\n65992 98993\n46827 70115\n31191 46632\n44639 66809\n66295 99463\n65036 97543\n9312 13973\n36255 54201\n33567 50176\n9587 14373\n5869 8782\n45048 67411\n77527 100000\n6809 10184\n59777 89657\n27573 41195\n99992 100000\n94963 100000\n19011 28429\n96393 100000\n19168 28662\n27655 41322\n35066 52421\n84984 100000\n58409 87617\n80080 100000\n41752 62470\n35119 52500\n88691 100000\n24371 36435\n23017 34411\n77690 100000\n49774 74573\n3547 5339\n27027 40388\n86195 100000\n9473 14213\n55121 82647\n94906 100000\n81122 100000\n43131 64535\n5319 7980\n38941 58273\n34161 51060\n51283 76833\n20126 30098\n79079 100000\n33247 49705\n68635 100000\n21577 32261\n83699 100000\n18181 27203\n10721 16084\n83661 100000\n74002 100000\n89878 100000\n31436 47004\n71578 100000\n54148 81173\n87875 100000\n20042 29964\n77972 100000\n5776 8652\n21286 31819\n60546 90825\n93429 100000\n68196 100000\n12760 19129\n64461 96668\n78172 100000\n6042 9045\n81281 100000\n88424 100000\n36303 54276\n20480 30634\n64259 96380\n13298 19928\n99913 100000\n45531 68147\n47207 70681\n96039 100000\n67035 100000\n3727 5605\n67661 100000\n71583 100000\n96389 100000\n12259 18387\n96664 100000\n27999 41835\n45336 67854\n81184 100000\n44874 67145\n1298 1972\n43406 64945\n35065 52419\n18010 26958\n54082 81075\n20016 29925\n83163 100000\n21353 31920\n97023 100000\n39103 58513\n64008 96004\n23923 35779\n86141 100000\n79747 100000\n268 405\n39376 58932\n19056 28492\n68429 100000\n87520 100000\n96146 100000\n13257 19863\n73085 100000\n76689 100000\n25884 38674\n13017 19511\n70044 100000\n25264 37747\n35222 52651\n49762 74555\n22243 33238\n42711 63907\n52704 78998\n54399 81544\n49261 73799\n23773 35547\n94556 100000\n99319 100000\n51665 77415\n20673 30914\n74073 100000\n14307 21436\n9424 14136\n4035 6080\n85362 100000\n30384 45418\n58008 87006\n49915 74783\n37598 56215\n30666 45838\n77292 100000\n35206 52627\n48789 73062\n34670 51834\n43675 65358\n27418 40965\n75499 100000\n25235 37700\n38948 58282\n45548 68172\n74423 100000\n88623 100000\n85034 100000\n15065 22553\n87427 100000\n37232 55676\n18197 27227\n31677 47380\n46862 70166\n66231 99358\n86814 100000\n45997 68857\n60822 91236\n35263 52715\n49017 73408\n75551 100000\n70817 100000\n2932 4416\n96546 100000\n48659 72871\n60044 90068\n60169 90254\n61085 91626\n75325 100000\n15896 23800\n69921 100000\n6268 9381\n52525 78725\n72350 100000\n30046 44909\n51621 77352\n51171 76663\n99976 100000\n89956 100000\n66760 100000\n74833 100000\n20061 29995\n42291 63281\n60668 91003\n94058 100000\n42465 63539\n46109 69023\n11868 17793\n8017 12001\n21026 31436\n79714 100000\n95182 100000\n92867 100000\n21665 32390\n57132 85656\n33217 49662\n72553 100000\n95571 100000\n17668 26433\n93740 100000\n60283 90428\n14227 21313\n24144 36110\n73924 100000\n73792 100000\n97731 100000\n91290 100000\n36788 54994\n77615 100000\n18254 27314\n63108 94663\n7684 11505\n5658 8480\n82260 100000\n50000 74905\n66587 99911\n28629 42768\n86416 100000\n22592 33775\n99371 100000\n59205 88786\n67116 100000\n22471 33587\n25678 38360\n46600 69771\n78677 100000\n74819 100000\n79970 100000\n44347 66370\n2921 4399\n91776 100000\n29055 43415\n74587 100000\n31232 46696\n66856 100000\n81289 100000\n97360 100000\n5012 7532\n86490 100000\n59660 89485\n7608 11390\n36591 54708\n59442 89152\n24190 36174\n68227 100000\n14484 21692\n67368 100000\n21349 31914\n97931 100000\n42649 63816\n80672 100000\n41417 61986\n20737 31006\n63195 94791\n27737 41442\n39021 58395\n53038 79487\n88650 100000\n17146 25648\n77223 100000\n62738 94107\n5853 8761\n51409 77033\n7253 10858\n64901 97339\n99555 100000\n32554 48677\n48891 73215\n93679 100000\n71725 100000\n49576 74277\n41527 62144\n72454 100000\n23114 34564\n64883 97313\n99514 100000\n89576 100000\n9200 13808\n12699 19037\n72524 100000\n3820 5748\n58613 87911\n54895 82301\n51362 76960\n84509 100000\n29957 44775\n89893 100000\n12679 19010\n27780 41505\n53167 79679\n23620 35318\n85675 100000\n74047 100000\n97396 100000\n11652 17472\n46236 69215\n3653 5488\n74407 100000\n61375 92080\n15418 23085\n99453 100000\n8098 12124\n20643 30871\n72212 100000\n80037 100000\n21309 31853\n92219 100000\n90128 100000\n93865 100000\n19080 28526\n88983 100000\n51883 77755\n82466 100000\n47415 71009\n69808 100000\n16115 24133\n27600 41240\n11539 17301\n51271 76816\n47136 70577\n74932 100000\n55426 83088\n28658 42814\n7990 11963\n87813 100000\n55788 83635\n64175 96255\n29479 44033\n6841 10234\n92626 100000\n57388 86051\n81150 100000\n64382 96559\n86645 100000\n53712 80519\n44164 66093\n3885 5851\n94885 100000\n30967 46297\n21449 32066\n89433 100000\n97150 100000\n78333 100000\n62337 93529\n55375 83015\n48498 72623\n6735 10077\n77748 100000\n92864 100000\n22405 33485\n52228 78271\n4827 7262\n95362 100000\n973 1483\n94987 100000\n26015 38873\n29208 43638\n89767 100000\n58355 87530\n39764 59515\n23874 35703\n60778 91168\n62232 93373\n16382 24518\n36692 54847\n54157 81186\n38516 57626\n46734 69971\n2038 3068\n73120 100000\n32989 49322\n85917 100000\n30342 45351\n47161 70615\n670 1023\n9099 13652\n48916 73254\n89128 100000\n56783 85119\n20398 30508\n92936 100000\n3890 5857\n68560 100000\n30637 45794\n57103 85610\n76257 100000\n72303 100000\n93397 100000\n15877 23773\n75713 100000\n76340 100000\n78567 100000\n4941 7426\n22209 33191\n23224 34728\n84147 100000\n1025 1567\n96214 100000\n89991 100000\n22797 34086\n50474 75624\n67773 100000\n4381 6584\n2239 3377\n15105 22612\n62780 94169\n37399 55921\n64443 96641\n89796 100000\n86635 100000\n23021 34419\n67873 100000\n23638 35343\n832 1262\n45428 67993\n80736 100000\n40313 60326\n94796 100000\n7741 11589\n33827 50549\n49609 74328\n57599 86380\n42113 63005\n43634 65297\n71224 100000\n61054 91580\n95750 100000\n22724 33981\n2478 3740\n31784 47527\n56487 84682\n18695 27966\n96597 100000\n88220 100000\n67592 100000\n21087 31531\n92979 100000\n97508 100000\n3170 4776\n66784 100000\n91716 100000\n6135 9186\n66963 100000\n20640 30867\n54025 80987\n67303 100000\n47509 71146\n57382 86042\n32351 48376\n94085 100000\n84324 100000\n73233 100000\n6168 9230\n32694 48881\n7166 10722\n94464 100000\n3588 5395\n65577 98360\n17524 26217\n99121 100000\n69541 100000\n64892 97327\n98585 100000\n91519 100000\n99653 100000\n15914 23828\n77877 100000\n75487 100000\n16339 24458\n93079 100000\n20004 29907\n44609 66763\n12450 18671\n4178 6289\n23164 34634\n7777 11641\n14587 21842\n25226 37685\n82847 100000\n48833 73129\n61859 92799\n90134 100000\n91551 100000\n78506 100000\n4956 7445\n59894 89832\n63666 95497\n95202 100000\n92107 100000\n26540 39671\n1180 1801\n47515 71156\n4976 7476\n85420 100000\n85058 100000\n87225 100000\n69228 100000\n61121 91679\n62822 94236\n26161 39097\n56815 85167\n59384 89057\n29660 44319\n14342 21485\n91055 100000\n90142 100000\n2146 3235\n39815 59594\n30601 45736\n20845 31164\n81965 100000\n36762 54952\n3188 4808\n53003 79436\n32514 48613\n16994 25419\n49893 74749\n93012 100000\n85042 100000\n34166 51066\n51725 77508\n80381 100000\n92307 100000\n84946 100000\n17933 26840\n58417 87627\n30585 45711\n81208 100000\n44794 67029\n35485 53048\n78942 100000\n2405 3630\n84582 100000\n83418 100000\n70763 100000\n19566 29251\n67786 100000\n36141 54035\n13996 20964\n15884 23783\n40284 60278\n53731 80545\n58462 87690\n60924 91384\n81140 100000\n68148 100000\n89310 100000\n45453 68031\n46657 69860\n51176 76668\n83251 100000\n42210 63152\n93961 100000\n23169 34642\n50727 75989\n25787 38524\n1542 2333\n58385 87576\n30091 44973\n6947 10386\n47326 70862\n99797 100000\n23844 35655\n67012 100000\n53026 79467\n60176 90266\n49936 74812\n60005 90010\n17412 26053\n87455 100000\n21088 31532\n65091 97624\n76767 100000\n78565 100000\n51709 77483\n33178 49604\n52805 79146\n17758 26564\n60795 91194\n7176 10737\n46196 69153\n82026 100000\n34669 51833\n42188 63123\n87259 100000\n38096 56982\n82652 100000\n46559 69711\n90811 100000\n80695 100000\n29399 43915\n93053 100000\n86274 100000\n83023 100000\n42723 63925\n30048 44911\n46942 70282\n21348 31913\n30032 44886\n89303 100000\n8283 12399\n53757 80582\n15766 23610\n65364 98041\n98184 100000\n67675 100000\n29346 43836\n83640 100000\n4561 6858\n31845 47615\n24444 36539\n68372 100000\n25057 37431\n99400 100000\n40641 60826\n11322 16976\n91077 100000\n2269 3421\n66073 99119\n8683 13006\n8248 12344\n20341 30419\n45019 67369\n39522 59149\n38548 57676\n96617 100000\n16594 24825\n8712 13053\n79884 100000\n79420 100000\n90596 100000\n20672 30912\n15537 23264\n26047 38923\n83200 100000\n94694 100000\n33773 50469\n57467 86178\n24287 36314\n99213 100000\n74548 100000\n12720 19069\n15873 23767\n56415 84577\n76368 100000\n36710 54874\n26690 39884\n10832 16240\n46800 70073\n48183 72158\n37758 56464\n25813 38567\n61154 91736\n73094 100000\n74889 100000\n38683 57884\n32286 48280\n61928 92904\n18478 27649\n29383 43890\n24886 37187\n68478 100000\n12576 18855\n27202 40644\n8524 12758\n59630 89440\n32635 48796\n65767 98653\n19103 28565\n91584 100000\n92080 100000\n18865 28218\n17196 25730\n15589 23342\n47476 71097\n98560 100000\n67028 100000\n10561 15848\n2217 3344\n94888 100000\n54031 80995\n71322 100000\n95764 100000\n72837 100000\n34325 51307\n53191 79713\n90827 100000\n65819 98730\n7317 10953\n87843 100000\n14468 21673\n71243 100000\n86813 100000\n18479 27650\n7353 11008\n34407 51428\n94380 100000\n12550 18817\n11720 17574\n97059 100000\n6281 9401\n9781 14674\n45567 68204\n9329 13998\n10017 15026\n74732 100000\n32211 48174\n57669 86484\n9657 14480\n28472 42533\n72584 100000\n83707 100000\n89659 100000\n8082 12101\n90011 100000\n36886 55148\n76440 100000\n71936 100000\n38091 56974\n71323 100000\n16039 24018\n27021 40379\n21574 32256\n96071 100000\n16843 25191\n50529 75707\n17752 26555\n92263 100000\n33156 49571\n34052 50894\n75663 100000\n52060 78022\n7807 11686\n26550 39686\n95539 100000\n69902 100000\n85458 100000\n26082 38976\n20817 31123\n23907 35753\n57896 86838\n99424 100000\n66482 99747\n10477 15717\n21011 31411\n66148 99234\n71048 100000\n68562 100000\n35942 53730\n42366 63399\n32156 48086\n77012 100000\n31775 47514\n46463 69567\n61620 92434\n85583 100000\n77207 100000\n84735 100000\n45187 67626\n66035 99059\n97411 100000\n79780 100000\n45891 68696\n58038 87045\n8447 12643\n68979 100000\n91240 100000\n59915 89866\n34712 51900\n56148 84172\n61936 92919\n40568 60716\n4011 6048\n76043 100000\n76880 100000\n41688 62380\n17542 26244\n41217 61692\n75428 100000\n36036 53869\n43861 65640\n67253 100000\n43855 65629\n7037 10522\n92579 100000\n34625 51770\n96023 100000\n50634 75858\n48729 72977\n11504 17250\n33417 49948\n39577 59235\n69704 100000\n28592 42709\n14892 22299\n54252 81328\n27694 41373\n99787 100000\n27368 40891\n64560 96829\n25388 37936\n16134 24159\n81793 100000\n90943 100000\n57088 85588\n2713 4090\n2959 4457\n90518 100000\n20896 31234\n2954 4451\n60711 91068\n21750 32520\n65914 98871\n41174 61626\n50606 75822\n2023 3045\n56456 84637\n45116 67515\n86176 100000\n9169 13758\n21893 32725\n12772 19148\n96539 100000\n52123 78121\n99850 100000\n17717 26501\n56847 85216\n22319 33353\n16534 24740\n14726 22048\n81084 100000\n72843 100000\n81439 100000\n72479 100000\n92457 100000\n34814 52047\n95366 100000\n61265 91914\n2943 4431\n89185 100000\n22621 33820\n60493 90745\n46881 70193\n42689 63872\n57916 86866\n48107 72044\n99035 100000\n57739 86597\n77491 100000\n66019 99033\n3413 5141\n48609 72799\n77648 100000\n54729 82050\n39987 59844\n76782 100000\n59748 89613\n5273 7914\n20111 30073\n12848 19261\n91162 100000\n76034 100000\n80265 100000\n99145 100000\n50212 75227\n64726 97080\n95770 100000\n26508 39627\n53986 80923\n41812 62557\n50160 75147\n95453 100000\n44450 66521\n60472 90718\n89957 100000\n83956 100000\n86258 100000\n74656 100000\n74036 100000\n68756 100000\n12324 18484\n25029 37389\n7811 11693\n3068 4624\n37289 55758\n43843 65613\n41198 61666\n67617 100000\n22230 33219\n11193 16781\n46517 69650\n12156 18233\n3704 5569\n79756 100000\n61084 91624\n14582 21835\n13745 20583\n18680 27944\n13896 20808\n19370 28958\n70082 100000\n20930 31284\n96478 100000\n2222 3350\n69542 100000\n38022 56864\n92001 100000\n687 1043\n75283 100000\n5585 8374\n93796 100000\n86082 100000\n98563 100000\n3750 5639\n61518 92289\n73709 100000\n31463 47043\n54718 82032\n7207 10786\n80970 100000\n19299 28857\n39282 58798\n31108 46512\n51013 76427\n26003 38854\n362 541\n86927 100000\n60873 91310\n9481 14224\n93020 100000\n22642 33854\n76466 100000\n15071 22562\n32469 48545\n39918 59746\n67059 100000\n65254 97880\n15125 22640\n54233 81296\n7072 10578\n11034 16544\n93231 100000\n80344 100000\n79669 100000\n78898 100000\n50040 74965\n696 1055\n88114 100000\n36187 54100\n52010 77946\n56089 84082\n48698 72930\n12469 18696\n75129 100000\n71009 100000\n95273 100000\n64251 96367\n2353 3549\n2919 4396\n34301 51269\n33652 50294\n76804 100000\n28436 42484\n2378 3591\n578 878\n61994 93006\n21406 31996\n54017 80971\n27835 41591\n53794 80634\n58468 87700\n54877 82272\n81510 100000\n77298 100000\n37779 56494\n90235 100000\n55743 83572\n31861 47637\n26808 40060\n79777 100000\n25677 38358\n71438 100000\n29255 43710\n97821 100000\n26902 40199\n78474 100000\n78470 100000\n29388 43898\n20706 30963\n52748 79061\n31551 47180\n30343 45352\n62294 93465\n63418 95129\n57511 86243\n40825 61100\n95849 100000\n12038 18060\n61616 92428\n93377 100000\n86793 100000\n72606 100000\n4892 7356\n14022 21000\n42495 63582\n51376 76981\n27041 40409\n62459 93696\n56515 84726\n47061 70456\n89159 100000\n11528 17285\n97346 100000\n35791 53505\n18184 27207\n2563 3861\n78824 100000\n71811 100000\n22689 33923\n89329 100000\n87262 100000\n46130 69051\n36345 54344\n4842 7284\n99248 100000\n73149 100000\n90435 100000\n9501 14251\n83824 100000\n38108 57000\n48108 72046\n35454 53002\n94956 100000\n13441 20142\n62366 93572\n42955 64271\n92557 100000\n39153 58588\n90828 100000\n47033 70416\n4005 6039\n86437 100000\n461 697\n6952 10394\n44490 66582\n88177 100000\n61133 91701\n40500 60615\n62146 93243\n44634 66801\n62431 93657\n12514 18762\n49099 73538\n31185 46624\n39087 58490\n43995 65843\n62678 94019\n44413 66466\n85833 100000\n54267 81349\n65377 98063\n25736 38449\n77061 100000\n91265 100000\n29489 44049\n3711 5582\n78711 100000\n95221 100000\n34920 52204\n97461 100000\n7716 11551\n95957 100000\n54945 82377\n34109 50982\n81799 100000\n92835 100000\n12500 18740\n79800 100000\n98050 100000\n40421 60495\n87024 100000\n11732 17589\n45164 67589\n73536 100000\n52882 79256\n77072 100000\n94425 100000\n76696 100000\n69485 100000\n66849 100000\n91315 100000\n38627 57801\n27303 40795\n93159 100000\n97250 100000\n32530 48639\n93327 100000\n18694 27965\n32312 48320\n15408 23069\n44166 66096\n13428 20123\n70966 100000\n26077 38970\n42348 63370\n42332 63343\n65427 98138\n46960 70307\n46314 69331\n50104 75060\n1924 2895\n18983 28392\n38148 57061\n86871 100000\n77595 100000\n4432 6657\n28038 41895\n94674 100000\n86774 100000\n50800 76099\n71788 100000\n81469 100000\n736 1122\n36543 54643\n35733 53420\n10248 15378\n17293 25877\n22492 33619\n37900 56684\n84348 100000\n68595 100000\n75856 100000\n81548 100000\n10535 15805\n5305 7960\n9347 14025\n33863 50603\n96010 100000\n50267 75308\n81533 100000\n97039 100000\n20589 30794\n73956 100000\n28489 42556\n28554 42651\n9575 14357\n38138 57045\n35199 52617\n27946 41757\n22117 33058\n90477 100000\n4444 6677\n35566 53166\n41626 62290\n486 733\n77140 100000\n14337 21476\n85373 100000\n46739 69979\n66711 100000\n96608 100000\n6972 10426\n88234 100000\n66980 100000\n1215 1849\n29997 44836\n62149 93247\n32278 48269\n6425 9613\n54273 81356\n6063 9078\n46232 69208\n37794 56518\n48346 72400\n76574 100000\n73544 100000\n22830 34134\n63956 95927\n75212 100000\n80200 100000\n14109 21132\n12146 18219\n85938 100000\n15715 23538\n35118 52499\n17809 26639\n86816 100000\n97855 100000\n49443 74075\n73319 100000\n39396 58959\n94726 100000\n62710 94064\n81652 100000\n36147 54043\n97280 100000\n79729 100000\n41295 61809\n31283 46773\n17257 25821\n69971 100000\n94680 100000\n78953 100000\n77538 100000\n72626 100000\n12284 18427\n57026 85489\n31259 46739\n89135 100000\n41364 61914\n90397 100000\n35927 53708\n54326 81434\n57379 86038\n36859 55105\n36651 54793\n7390 11062\n27219 40667\n30056 44921\n54311 81409\n13254 19860\n49989 74886\n49252 73783\n82598 100000\n91085 100000\n95429 100000\n46721 69954\n83504 100000\n85689 100000\n56064 84045\n49203 73702\n25546 38165\n71266 100000\n56056 84035\n56186 84230\n62115 93196\n21317 31863\n64835 97240\n20445 30580\n94235 100000\n29376 43880\n47177 70638\n27605 41248\n81526 100000\n56888 85280\n11949 17922\n58590 87878\n52352 78466\n73440 100000\n21806 32603\n22660 33882\n12789 19172\n85593 100000\n11414 17113\n26545 39677\n12743 19104\n94729 100000\n42949 64263\n86678 100000\n20531 30711\n90767 100000\n15351 22982\n76264 100000\n25400 37956\n53108 79595\n71368 100000\n95657 100000\n90207 100000\n99411 100000\n18529 27722\n85297 100000\n74246 100000\n80564 100000\n92467 100000\n61520 92291\n51165 76656\n40814 61083\n23453 35077\n12107 18166\n11092 16630\n46323 69344\n83476 100000\n67744 100000\n99947 100000\n36577 54689\n63326 94991\n54236 81302\n14599 21859\n59423 89123\n424 640\n21260 31782\n3394 5109\n90067 100000\n65628 98444\n13674 20480\n88079 100000\n27824 41573\n67467 100000\n42151 63069\n82765 100000\n10718 16081\n44394 66440\n45110 67505\n35339 52829\n44989 67323\n16161 24198\n53831 80685\n16561 24775\n66900 100000\n4511 6780\n86092 100000\n55991 83935\n67040 100000\n86280 100000\n21430 32036\n86737 100000\n65835 98754\n26565 39710\n39388 58949\n38771 58013\n40275 60267\n53436 80090\n33124 49527\n42525 63624\n33478 50044\n33317 49806\n5996 8977\n23571 35246\n14783 22127\n86756 100000\n27519 41115\n51017 76434\n88804 100000\n44718 66919\n5143 7718\n84423 100000\n37640 56281\n1379 2093\n69656 100000\n36540 54639\n65754 98634\n2512 3788\n96326 100000\n78539 100000\n48624 72821\n85696 100000\n91135 100000\n32510 48608\n46383 69438\n94755 100000\n40027 59902\n47138 70580\n57484 86200\n78204 100000\n14990 22439\n53169 79683\n18676 27937\n74894 100000\n21929 32781\n45321 67831\n56428 84595\n14171 21229\n17620 26360\n43159 64574\n67902 100000\n29386 43896\n68960 100000\n65179 97762\n96244 100000\n74212 100000\n7404 11081\n19435 29064\n76454 100000\n81132 100000\n86409 100000\n24661 36859\n42885 64167\n13330 19973\n76150 100000\n82148 100000\n64332 96487\n86967 100000\n64840 97248\n88783 100000\n98771 100000\n34361 51358\n93651 100000\n42076 62950\n4614 6939\n18423 27569\n15313 22929\n13446 20149\n98558 100000\n72898 100000\n11935 17900\n65722 98586\n11291 16928\n76120 100000\n50547 75733\n13697 20512\n30772 46007\n12807 19198\n16558 24771\n83368 100000\n53625 80383\n62525 93795\n39406 58975\n31206 46653\n3241 4888\n32103 48007\n24780 37031\n54234 81298\n25059 37435\n73276 100000\n79817 100000\n37478 56039\n27761 41475\n72997 100000\n16567 24784\n69231 100000\n16672 24938\n50464 75609\n40022 59894\n3348 5036\n56387 84533\n98146 100000\n93378 100000\n69930 100000\n41445 62027\n26052 38930\n60694 91041\n51351 76941\n30603 45740\n92722 100000\n72053 100000\n31856 47630\n33410 49940\n41258 61753\n22879 34209\n69888 100000\n17988 26924\n38704 57916\n48772 73037\n51601 77320\n69528 100000\n69347 100000\n92087 100000\n16496 24676\n93881 100000\n32291 48287\n27886 41667\n49042 73448\n6065 9080\n23479 35118\n66247 99383\n73199 100000\n89126 100000\n1688 2551\n6224 9315\n60769 91158\n73607 100000\n10812 16217\n56741 85057\n37827 56572\n17323 25920\n73386 100000\n20063 29997\n51423 77054\n38903 58211\n18707 27986\n68888 100000\n70543 100000\n54593 81834\n63072 94607\n31820 47581\n66893 100000\n69719 100000\n8415 12594\n44266 66246\n95925 100000\n80160 100000\n11554 17321\n86058 100000\n27495 41079\n46588 69752\n87284 100000\n47866 71686\n55205 82766\n60842 91265\n52206 78239\n58451 87674\n65069 97591\n20048 29974\n56765 85092\n36413 54451\n64131 96188\n86574 100000\n12864 19287\n91960 100000\n8621 12907\n98305 100000\n10944 16414\n64778 97152\n47980 71858\n63445 95167\n73073 100000\n11983 17974\n35342 52833\n3734 5616\n78915 100000\n86460 100000\n99638 100000\n12420 18625\n30213 45157\n84016 100000\n54089 81085\n17757 26563\n24533 36665\n82423 100000\n468 708\n40118 60039\n15863 23751\n84711 100000\n18950 28344\n24331 36380\n58970 88435\n28484 42549\n21036 31453\n22950 34313\n47490 71117\n51358 76953\n28069 41940\n74129 100000\n54872 82266\n41091 61502\n85746 100000\n90568 100000\n74242 100000\n50663 75900\n35077 52436\n75330 100000\n83376 100000\n82833 100000\n3155 4754\n81748 100000\n77156 100000\n38409 57461\n51747 77542\n20306 30368\n7994 11968\n7938 11888\n44167 66098\n84926 100000\n53333 79928\n43734 65445\n87191 100000\n73193 100000\n14714 22029\n84537 100000\n970 1478\n51158 76644\n22538 33692\n92481 100000\n96522 100000\n46778 70037\n18687 27954\n75570 100000\n83524 100000\n91041 100000\n59330 88973\n40379 60432\n67586 100000\n32651 48818\n29467 44014\n66584 99907\n66769 100000\n12736 19094\n78248 100000\n3928 5924\n5089 7643\n88966 100000\n66542 99843\n96708 100000\n65003 97491\n44824 67073\n71555 100000\n55310 82919\n55093 82606\n14333 21470\n30499 45590\n14236 21325\n92207 100000\n31287 46779\n38738 57967\n12525 18778\n18981 28390\n1931 2906\n28162 42085\n52580 78813\n43080 64455\n99647 100000\n43107 64496\n76877 100000\n54497 81692\n85572 100000\n60701 91053\n50718 75975\n66869 100000\n1569 2375\n30927 46236\n39977 59831\n14879 22278\n89045 100000\n84947 100000\n91221 100000\n78812 100000\n28607 42733\n69451 100000\n71960 100000\n8517 12748\n15965 23905\n76952 100000\n91892 100000\n70092 100000\n91867 100000\n80566 100000\n40369 60416\n25573 38202\n42891 64178\n99281 100000\n24586 36747\n78745 100000\n13182 19751\n57517 86253\n83952 100000\n46265 69262\n20512 30685\n55302 82908\n21907 32748\n12629 18934\n31221 46678\n62083 93145\n4968 7462\n17848 26702\n78837 100000\n63060 94591\n21862 32682\n15196 22748\n41749 62466\n14500 21716\n84804 100000\n11873 17800\n70517 100000\n95096 100000\n20213 30224\n7300 10928\n22872 34196\n15206 22761\n63180 94770\n51148 76628\n53765 80594\n23363 34936\n48447 72545\n49604 74322\n57282 85898\n2325 3508\n39555 59201\n22436 33535\n9369 14054\n60857 91287\n49949 74829\n72158 100000\n84463 100000\n28890 43172\n25519 38126\n15064 22552\n29268 43729\n6053 9063\n32733 48938\n20029 29943\n37708 56388\n86371 100000\n14939 22366\n61359 92057\n97456 100000\n90503 100000\n73716 100000\n99512 100000\n74931 100000\n71430 100000\n77735 100000\n85347 100000\n46177 69126\n96676 100000\n9263 13900\n34717 51906\n55038 82523\n62511 93772\n64843 97252\n50123 75090\n75678 100000\n45544 68166\n22336 33378\n26302 39316\n42687 63870\n50213 75229\n1130 1727\n42248 63210\n85827 100000\n41493 62094\n55403 83056\n74719 100000\n60267 90404\n70492 100000\n88316 100000\n58764 88138\n42824 64073\n62817 94227\n31972 47805\n84803 100000\n69352 100000\n69410 100000\n22176 33145\n15273 22865\n49006 73392\n33071 49446\n27828 41581\n32096 47995\n36548 54650\n84272 100000\n95256 100000\n80864 100000\n19549 29224\n71076 100000\n41308 61828\n59749 89615\n15793 23650\n69385 100000\n33048 49409\n91762 100000\n17294 25878\n32137 48058\n78622 100000\n2457 3709\n58739 88099\n99666 100000\n23650 35361\n54658 81941\n20157 30143\n74826 100000\n50543 75727\n25735 38448\n41973 62791\n25902 38700\n22258 33261\n11276 16907\n68862 100000\n42953 64268\n42457 63528\n51152 76634\n58990 88467\n46142 69071\n98089 100000\n33873 50619\n65026 97526\n84900 100000\n46233 69209\n87913 100000\n49471 74115\n84313 100000\n43578 65208\n16033 24010\n94525 100000\n13256 19862\n30178 45100\n45656 68336\n12555 18822\n62148 93246\n75289 100000\n19363 28947\n70692 100000\n34312 51288\n45755 68486\n97878 100000\n80062 100000\n5244 7876\n10723 16087\n4295 6457\n75245 100000\n33628 50262\n48189 72166\n9542 14307\n73577 100000\n84880 100000\n24103 36048\n33402 49928\n14396 21560\n1914 2880\n86664 100000\n57667 86480\n20832 31144\n42271 63248\n79190 100000\n37085 55456\n17907 26795\n45999 68860\n4036 6082\n74864 100000\n1838 2766\n99924 100000\n83058 100000\n35131 52515\n20508 30680\n84778 100000\n29038 43391\n15150 22677\n97297 100000\n51877 77746\n18486 27660\n13433 20130\n25375 37915\n54810 82173\n78911 100000\n74049 100000\n95949 100000\n18129 27128\n19023 28442\n52575 78806\n97711 100000\n55056 82549\n50850 76177\n18376 27499\n36938 55224\n50446 75579\n29736 44438\n37978 56796\n64017 96016\n54052 81028\n52571 78801\n5315 7975\n57688 86517\n22809 34104\n2906 4380\n6365 9529\n12634 18939\n57554 86310\n75451 100000\n25421 37987\n32613 48763\n26824 40082\n17621 26362\n13527 20270\n36533 54628\n31705 47419\n4487 6745\n43715 65414\n43643 65311\n15471 23161\n79216 100000\n30676 45854\n76748 100000\n56616 84874\n25423 37990\n16910 25295\n95583 100000\n61394 92105\n57951 86918\n43842 65611\n18372 27491\n48590 72771\n38268 57247\n81817 100000\n72365 100000\n74351 100000\n70740 100000\n45326 67840\n91650 100000\n59251 88853\n73588 100000\n58858 88274\n40612 60783\n67144 100000\n37121 55505\n72422 100000\n10948 16420\n50917 76281\n79850 100000\n25206 37655\n45563 68198\n69443 100000\n15564 23308\n97981 100000\n18878 28240\n6004 8989\n17846 26698\n48807 73091\n6679 9990\n50746 76020\n13419 20109\n7472 11189\n33493 50064\n66104 99166\n96150 100000\n18893 28262\n51304 76869\n87179 100000\n23676 35404\n1267 1927\n89851 100000\n74282 100000\n30621 45769\n57912 86861\n67190 100000\n13960 20909\n35641 53281\n66269 99420\n82130 100000\n18470 27636\n37098 55474\n74633 100000\n19324 28893\n39746 59491\n88093 100000\n19993 29889\n90130 100000\n87824 100000\n49284 73829\n31862 47639\n72834 100000\n63492 95232\n54352 81474\n34952 52252\n25463 38045\n2017 3034\n20973 31352\n8287 12404\n68338 100000\n44685 66872\n34505 51586\n71879 100000\n52294 78383\n36139 54032\n55352 82982\n29752 44462\n13502 20231\n99084 100000\n2128 3208\n26438 39519\n25068 37451\n82588 100000\n10781 16172\n39372 58928\n82329 100000\n90670 100000\n51051 76484\n26025 38890\n57450 86153\n69648 100000\n16409 24559\n41007 61376\n13314 19951\n84783 100000\n45552 68179\n46742 69984\n38782 58028\n6456 9653\n27912 41707\n72878 100000\n46367 69416\n82613 100000\n63618 95422\n67355 100000\n83645 100000\n83528 100000\n89326 100000\n23281 34812\n55973 83910\n80759 100000\n89409 100000\n63647 95467\n13529 20272\n98044 100000\n40187 60143\n5751 8614\n46865 70170\n78166 100000\n13234 19829\n52737 79044\n79516 100000\n55873 83757\n19193 28698\n33936 50710\n17354 25965\n4722 7102\n87004 100000\n27700 41381\n72652 100000\n70051 100000\n67479 100000\n37032 55371\n57512 86244\n24034 35947\n2618 3949\n55810 83666\n43404 64943\n88460 100000\n39084 58485\n26507 39625\n8295 12418\n74406 100000\n82881 100000\n14036 21021\n58627 87932\n67293 100000\n86784 100000\n97476 100000\n84350 100000\n99320 100000\n8166 12226\n17422 26068\n42922 64224\n50614 75832\n68117 100000\n40127 60053\n3747 5635\n61343 92036\n94536 100000\n17226 25775\n79217 100000\n70845 100000\n30886 46173\n25162 37590\n82771 100000\n44979 67308\n56992 85437\n87693 100000\n48614 72806\n30667 45840\n41689 62381\n80141 100000\n80593 100000\n79987 100000\n47181 70643\n7612 11395\n23505 35158\n24921 37237\n63158 94734\n20950 31314\n48572 72740\n26668 39852\n44607 66760\n82081 100000\n65600 98400\n31080 46474\n48042 71947\n42994 64325\n55893 83786\n35881 53635\n55092 82605\n99965 100000\n40940 61273\n16305 24411\n40869 61166\n73875 100000\n88807 100000\n48034 71933\n34784 52007\n7304 10933\n25211 37663\n11437 17149\n69947 100000\n64540 96799\n2465 3720\n88873 100000\n47350 70903\n29961 44781\n36118 54003\n52353 78468\n91370 100000\n24514 36636\n11496 17238\n92215 100000\n27466 41035\n27544 41153\n28739 42936\n82862 100000\n53909 80809\n18852 28198\n25113 37520\n79323 100000\n11365 17039\n47832 71632\n88863 100000\n19867 29700\n57933 86893\n22566 33733\n50772 76055\n89420 100000\n2774 4185\n91224 100000\n30441 45503\n16359 24485\n70846 100000\n31603 47257\n73381 100000\n52767 79090\n12323 18483\n4585 6893\n62776 94162\n70500 100000\n44155 66078\n32313 48321\n93931 100000\n70577 100000\n23820 35624\n75586 100000\n32014 47875\n99862 100000\n68733 100000\n93617 100000\n17311 25903\n56350 84476\n88806 100000\n27287 40770\n3272 4935\n1554 2352\n90087 100000\n94690 100000\n86555 100000\n13180 19748\n50106 75064\n79572 100000\n33469 50032\n23031 34435\n8936 13399\n40505 60621\n12225 18338\n51632 77368\n68504 100000\n35215 52639\n33340 49841\n98414 100000\n24474 36581\n33797 50506\n37705 56383\n49092 73528\n25979 38818\n9920 14881\n61269 91922\n31034 46401\n90144 100000\n78422 100000\n44270 66251\n18425 27572\n92112 100000\n17747 26547\n30571 45692\n17536 26233\n28550 42647\n3452 5199\n53243 79789\n13988 20950\n3902 5879\n42701 63891\n21779 32562\n59734 89591\n71537 100000\n14522 21752\n68438 100000\n61748 92629\n48382 72451\n96460 100000\n4792 7212\n83231 100000\n37193 55619\n34654 51810\n42699 63889\n28279 42261\n56869 85250\n55139 82674\n92130 100000\n93000 100000\n19733 29502\n38669 57863\n95497 100000\n78600 100000\n64715 97063\n27174 40606\n18799 28123\n12247 18371\n89688 100000\n66286 99448\n56823 85178\n29065 43427\n88826 100000\n23680 35408\n29737 44440\n55824 83685\n35783 53493\n32450 48520\n37903 56689\n36516 54600\n11508 17257\n73569 100000\n6164 9225\n60580 90874\n57241 85832\n95408 100000\n89810 100000\n70294 100000\n63847 95756\n92933 100000\n2544 3835\n80347 100000\n90632 100000\n98256 100000\n80627 100000\n96886 100000\n40314 60327\n41145 61582\n82125 100000\n63780 95662\n74269 100000\n84525 100000\n56160 84191\n11808 17705\n43017 64359\n28989 43314\n92334 100000\n81769 100000\n28467 42528\n83534 100000\n82559 100000\n77098 100000\n4132 6219\n3296 4964\n93396 100000\n48642 72846\n3383 5093\n27259 40727\n61805 92713\n80066 100000\n39185 58640\n27857 41624\n44854 67119\n62977 94467\n50627 75849\n43021 64365\n61971 92972\n82712 100000\n63027 94542\n56444 84616\n14752 22082\n88217 100000\n45670 68357\n57552 86306\n46902 70227\n73082 100000\n87722 100000\n77796 100000\n38056 56919\n67563 100000\n52425 78574\n96817 100000\n61089 91631\n73968 100000\n70629 100000\n85571 100000\n23583 35264\n57251 85848\n24818 37087\n34809 52041\n33289 49764\n2186 3296\n94143 100000\n41719 62421\n28576 42683\n55509 83208\n24405 36481\n27953 41768\n97084 100000\n29579 44184\n44929 67237\n9165 13751\n82285 100000\n51187 76686\n3947 5951\n83655 100000\n9803 14706\n21144 31610\n83325 100000\n68982 100000\n82272 100000\n92466 100000\n43216 64663\n17527 26220\n14633 21905\n65700 98552\n96671 100000\n26685 39876\n54808 82171\n65724 98590\n3639 5467\n50560 75755\n31207 46654\n65495 98244\n47337 70881\n5921 8863\n76844 100000\n46607 69782\n52557 78780\n25923 38732\n2704 4077\n34321 51300\n84353 100000\n68498 100000\n45126 67532\n33526 50109\n34923 52210\n19926 29785\n15687 23496\n94158 100000\n54848 82227\n5354 8034\n89741 100000\n30079 44955\n87976 100000\n61279 91939\n95558 100000\n64420 96610\n57264 85869\n34422 51447\n20739 31009\n90096 100000\n71418 100000\n79148 100000\n76386 100000\n94734 100000\n60782 91176\n6041 9043\n79055 100000\n94188 100000\n11474 17206\n68373 100000\n18123 27121\n74010 100000\n68029 100000\n32541 48657\n69452 100000\n57509 86240\n29475 44026\n19995 29892\n84697 100000\n30132 45030\n36683 54836\n43248 64710\n51784 77605\n60532 90804\n10382 15578\n19125 28599\n44468 66548\n5962 8923\n76344 100000\n56764 85091\n88452 100000\n62965 94450\n2035 3065\n26973 40308\n5796 8677\n55520 83225\n87534 100000\n26725 39938\n58450 87673\n60244 90373\n1912 2878\n45961 68802\n71406 100000\n15713 23535\n59426 89128\n83281 100000\n6701 10025\n61483 92232\n78803 100000\n18630 27866\n20438 30570\n71284 100000\n734 1118\n14477 21684\n40205 60172\n8286 12403\n40491 60599\n65234 97849\n74085 100000\n59339 88987\n42118 63012\n15378 23020\n72199 100000\n80608 100000\n78461 100000\n56920 85327\n30938 46251\n34538 51638\n56150 84174\n45708 68415\n28216 42169\n57136 85664\n75114 100000\n94078 100000\n24280 36306\n65966 98954\n3720 5594\n77755 100000\n71535 100000\n48458 72562\n43294 64779\n26860 40135\n60877 91318\n39276 58789\n25283 37774\n22419 33506\n21248 31766\n96310 100000\n15710 23531\n54542 81761\n5586 8375\n34802 52031\n50176 75169\n73984 100000\n35579 53186\n78928 100000\n59034 88525\n38461 57542\n3014 4543\n54268 81351\n64544 96805\n47598 71280\n48599 72786\n6818 10199\n47833 71634\n52395 78531\n37025 55358\n10798 16198\n67297 100000\n83081 100000\n99733 100000\n84130 100000\n64268 96391\n79945 100000\n85863 100000\n21089 31534\n86293 100000\n46059 68951\n50116 75080\n51307 76874\n69173 100000\n81890 100000\n17237 25790\n90093 100000\n75814 100000\n25300 37796\n93607 100000\n31471 47058\n73412 100000\n40470 60568\n97197 100000\n57820 86725\n77079 100000\n59165 88724\n33975 50775\n61969 92970\n44970 67292\n50307 75371\n31099 46499\n1664 2520\n85831 100000\n91871 100000\n21991 32869\n69038 100000\n87956 100000\n70031 100000\n92492 100000\n27057 40432\n4778 7189\n86434 100000\n52266 78337\n34986 52300\n90170 100000\n11731 17588\n84681 100000\n25000 37349\n87862 100000\n41950 62759\n17169 25686\n41522 62136\n84527 100000\n90248 100000\n45307 67808\n85236 100000\n48028 71924\n68657 100000\n1640 2483\n1112 1699\n43878 65668\n75709 100000\n82661 100000\n93773 100000\n55351 82980\n21352 31918\n40349 60383\n50790 76082\n17297 25883\n23276 34805\n99619 100000\n69702 100000\n8335 12476\n60411 90614\n76418 100000\n81161 100000\n17835 26680\n33073 49449\n15996 23954\n50720 75977\n53648 80423\n97887 100000\n42301 63298\n40867 61164\n73778 100000\n38855 58137\n31514 47124\n82561 100000\n27773 41495\n53355 79962\n83048 100000\n30870 46151\n19516 29172\n2883 4344\n79677 100000\n92244 100000\n78234 100000\n18499 27678\n87724 100000\n91848 100000\n55462 83144\n96384 100000\n5651 8472\n24802 37064\n88968 100000\n51377 76983\n57961 86933\n66969 100000\n60474 90720\n96799 100000\n13034 19536\n52507 78698\n67347 100000\n52625 78877\n99602 100000\n86672 100000\n80374 100000\n23879 35710\n17168 25684\n70043 100000\n18324 27413\n45726 68441\n16532 24737\n71752 100000\n11501 17245\n85986 100000\n64398 96580\n86349 100000\n19954 29829\n65367 98046\n18291 27369\n14698 22005\n55160 82704\n74169 100000\n43569 65192\n84315 100000\n43997 65846\n18622 27857\n55341 82966\n66658 100000\n23688 35419\n23614 35309\n38275 57258\n69360 100000\n7185 10751\n62693 94040\n38054 56917\n28707 42894\n85147 100000\n72893 100000\n27667 41335\n67887 100000\n70650 100000\n8304 12429\n80596 100000\n8910 13353\n48459 72563\n47791 71572\n93206 100000\n57576 86344\n40269 60259\n32676 48857\n29372 43874\n5563 8342\n62560 93847\n34566 51681\n52358 78474\n91506 100000\n85179 100000\n21085 31528\n59477 89206\n70585 100000\n5716 8564\n70797 100000\n25005 37354\n53055 79514\n48876 73193\n3637 5463\n17108 25588\n64962 97428\n59930 89888\n130 196\n41842 62598\n35525 53106\n15580 23329\n14676 21967\n73165 100000\n94902 100000\n45060 67430\n97133 100000\n38323 57327\n96131 100000\n66669 100000\n141 211\n78491 100000\n35469 53023\n46226 69199\n72882 100000\n31805 47557\n67561 100000\n10180 15271\n13801 20668\n60016 90024\n85446 100000\n74118 100000\n76975 100000\n76140 100000\n52662 78931\n89167 100000\n64784 97163\n71274 100000\n78597 100000\n36017 53841\n65826 98740\n22987 34365\n65485 98227\n50164 75151\n40243 60223\n2291 3456\n10046 15072\n63681 95517\n38201 57143\n84113 100000\n64213 96309\n86438 100000\n30113 45005\n2912 4387\n60944 91413\n97171 100000\n79068 100000\n31590 47237\n97416 100000\n29204 43631\n96120 100000\n65138 97696\n5317 7977\n54383 81521\n47782 71559\n58021 87025\n68101 100000\n38453 57530\n80426 100000\n96496 100000\n35190 52603\n4019 6057\n14528 21761\n30229 45180\n59383 89055\n46528 69665\n12573 18851\n47297 70816\n3963 5974\n97042 100000\n76022 100000\n35638 53276\n56287 84376\n69492 100000\n88368 100000\n14576 21828\n44760 66984\n90982 100000\n3252 4902\n2593 3907\n81016 100000\n85929 100000\n75957 100000\n41325 61854\n25426 37994\n99047 100000\n63853 95767\n3474 5233\n20709 30967\n8440 12634\n8243 12338\n8888 13321\n40287 60283\n86581 100000\n68254 100000\n88206 100000\n28187 42123\n19888 29733\n1867 2808\n10537 15808\n62283 93449\n2510 3785\n76383 100000\n98096 100000\n72271 100000\n55485 83174\n91932 100000\n28846 43105\n80046 100000\n68683 100000\n42263 63235\n38567 57707\n9947 14920\n10060 15092\n7768 11628\n15538 23266\n64677 97004\n61935 92917\n20147 30128\n4 7\n37963 56773\n73928 100000\n1030 1574\n5179 7779\n84284 100000\n74900 100000\n16595 24826\n52773 79099\n49245 73773\n57978 86960\n55832 83699\n30209 45152\n11577 17356\n92144 100000\n54988 82448\n6205 9285\n60013 90020\n47294 70812\n27526 41126\n41551 62179\n26922 40232\n16208 24269\n84523 100000\n5702 8541\n69997 100000\n51779 77596\n58458 87685\n89298 100000\n97300 100000\n94725 100000\n37936 56735\n59349 89005\n46740 69981\n80930 100000\n49785 74590\n40355 60392\n46132 69055\n73224 100000\n65476 98215\n43161 64577\n20405 30518\n51221 76737\n88568 100000\n54712 82023\n49219 73730\n57631 86430\n5998 8980\n47160 70614\n99060 100000\n62737 94106\n89890 100000\n71629 100000\n98171 100000\n56279 84361\n63306 94960\n65475 98214\n93819 100000\n49977 74868\n72877 100000\n87640 100000\n57349 85996\n47256 70758\n53276 79836\n11136 16691\n4236 6373\n45828 68598\n45052 67417\n8834 13237\n21422 32021\n40417 60490\n75594 100000\n9159 13742\n36363 54373\n16088 24092\n8463 12669\n5698 8535\n80422 100000\n20066 30003\n17865 26730\n65465 98198\n96427 100000\n30297 45285\n16573 24795\n36222 54152\n67295 100000\n97089 100000\n86018 100000\n21065 31499\n90960 100000\n18118 27115\n36521 54609\n51135 76610\n76909 100000\n27098 40496\n32843 49103\n24009 35911\n33274 49742\n52836 79190\n68832 100000\n40873 61172\n8818 13216\n50407 75520\n17306 25896\n35094 52460\n41742 62455\n78223 100000\n60001 90003\n56503 84708\n82510 100000\n48977 73348\n65467 98200\n75769 100000\n89641 100000\n72720 100000\n74124 100000\n92045 100000\n9818 14728\n44304 66303\n98090 100000\n80583 100000\n13549 20305\n24349 36407\n99634 100000\n48900 73232\n2295 3461\n9097 13648\n63044 94565\n15291 22895\n67622 100000\n18074 27050\n85808 100000\n70133 100000\n42753 63971\n2214 3341\n95321 100000\n46086 68988\n60587 90885\n46546 69691\n6066 9082\n42692 63878\n34971 52277\n54998 82463\n65759 98639\n78202 100000\n54796 82152\n3925 5919\n83285 100000\n40402 60470\n91900 100000\n43148 64557\n8390 12561\n21403 31992\n39202 58669\n99270 100000\n6249 9350\n77415 100000\n80778 100000\n47544 71202\n34458 51509\n11093 16631\n3695 5556\n48770 73035\n89405 100000\n3062 4616\n12280 18421\n5939 8888\n7372 11037\n55771 83613\n70563 100000\n34092 50955\n23677 35405\n81657 100000\n18975 28382\n10694 16046\n18521 27713\n81963 100000\n40691 60899\n19509 29163\n21316 31861\n76424 100000\n54223 81282\n21793 32581\n8748 13106\n41194 61661\n35768 53471\n33350 49854\n47920 71767\n43533 65135\n7325 10965\n9063 13599\n58239 87348\n41810 62555\n16975 25391\n91378 100000\n34706 51891\n64356 96523\n67532 100000\n95636 100000\n57076 85569\n16782 25101\n49708 74475\n61776 92669\n5772 8646\n82727 100000\n33249 49708\n34975 52283\n6015 9008\n64801 97189\n39628 59310\n21069 31505\n39790 59557\n18925 28309\n5553 8327\n89097 100000\n81805 100000\n55381 83023\n17706 26486\n35911 53681\n4162 6267\n2488 3754\n81593 100000\n13618 20402\n45620 68282\n71941 100000\n11222 16823\n42703 63895\n40990 61349\n30709 45907\n33660 50306\n39932 59765\n59726 89581\n60024 90037\n50375 75474\n50859 76192\n97501 100000\n46370 69420\n66819 100000\n26499 39615\n5476 8208\n6759 10113\n28191 42129\n70816 100000\n68163 100000\n87412 100000\n1260 1917\n80720 100000\n44447 66517\n55149 82688\n38494 57591\n48240 72245\n78047 100000\n45399 67949\n9967 14947\n3199 4824\n24628 36813\n26160 39096\n46190 69145\n87224 100000\n30008 44854\n80827 100000\n12377 18563\n77131 100000\n25455 38036\n66807 100000\n10858 16280\n6769 10129\n49305 73860\n97490 100000\n30776 46012\n35001 52324\n91027 100000\n86276 100000\n54603 81849\n64277 96403\n90564 100000\n71349 100000\n80315 100000\n8672 12989\n61197 91804\n24161 36133\n40804 61069\n61941 92924\n86638 100000\n86017 100000\n36340 54336\n91720 100000\n18483 27656\n98095 100000\n55262 82851\n46751 69997\n7957 11917\n88924 100000\n29304 43774\n85389 100000\n10915 16369\n317 473\n46137 69062\n51326 76903\n67504 100000\n12152 18228\n39010 58378\n94168 100000\n19545 29218\n86772 100000\n57852 86770\n74998 100000\n33379 49897\n91066 100000\n91832 100000\n72378 100000\n50926 76296\n39525 59153\n8313 12444\n34380 51386\n31852 47624\n95238 100000\n97825 100000\n13798 20665\n63707 95556\n83142 100000\n61967 92967\n97874 100000\n39303 58827\n99092 100000\n44644 66814\n93065 100000\n20320 30387\n36588 54704\n50092 75042\n30572 45694\n28491 42559\n71219 100000\n84767 100000\n49295 73842\n60000 90002\n71857 100000\n1415 2144\n62724 94086\n40005 59871\n67097 100000\n44982 67312\n49112 73560\n24289 36317\n13679 20486\n57650 86456\n3386 5099\n22912 34255\n99109 100000\n79898 100000\n98345 100000\n2653 3997\n60432 90652\n58221 87319\n94169 100000\n23080 34510\n86309 100000\n40342 60373\n60660 90992\n85557 100000\n69434 100000\n61877 92828\n32568 48697\n44823 67071\n97541 100000\n74313 100000\n14653 21932\n81052 100000\n67772 100000\n41641 62314\n19200 28711\n43327 64825\n78244 100000\n67982 100000\n90501 100000\n3512 5288\n34446 51489\n48298 72328\n79232 100000\n79998 100000\n4020 6058\n84749 100000\n48141 72098\n16699 24980\n48168 72138\n91323 100000\n70223 100000\n79506 100000\n64387 96565\n79670 100000\n69131 100000\n36756 54945\n78275 100000\n94988 100000\n62392 93606\n24449 36546\n54172 81211\n80467 100000\n207 314\n44364 66396\n6352 9510\n81323 100000\n70368 100000\n15539 23267\n9324 13991\n70798 100000\n74046 100000\n30744 45966\n4680 7037\n83327 100000\n58080 87112\n6740 10083\n1481 2245\n8123 12163\n81388 100000\n91216 100000\n22107 33043\n3524 5306\n7429 11118\n64546 96807\n95181 100000\n43306 64797\n24675 36878\n57019 85479\n57970 86948\n61273 91929\n23259 34781\n42028 62875\n94767 100000\n85732 100000\n97963 100000\n58787 88168\n36684 54837\n49840 74669\n21855 32674\n24484 36595\n9931 14896\n28197 42139\n27732 41432\n30893 46183\n32505 48602\n170 255\n97771 100000\n96381 100000\n91068 100000\n68490 100000\n18092 27075\n45304 67805\n75072 100000\n73811 100000\n65250 97874\n46447 69543\n92678 100000\n1618 2451\n62068 93122\n31959 47787\n92537 100000\n28428 42473\n33174 49599\n16226 24294\n17386 26012\n66553 99859\n40119 60041\n10851 16269\n97693 100000\n26122 39038\n61120 91677\n40378 60430\n55713 83523\n66991 100000\n67215 100000\n1007 1541\n79743 100000\n47655 71363\n4655 6999\n98139 100000\n61819 92736\n97723 100000\n30013 44861\n2991 4508\n24077 36010\n54219 81277\n32927 49229\n23851 35667\n31482 47072\n2672 4027\n26906 40205\n17204 25744\n66574 99890\n74305 100000\n50825 76138\n30745 45968\n81865 100000\n95850 100000\n23324 34879\n86449 100000\n95243 100000\n44630 66796\n74924 100000\n99369 100000\n59664 89490\n83041 100000\n18990 28402\n67824 100000\n50982 76380\n36983 55291\n37988 56812\n44460 66536\n82197 100000\n87236 100000\n47521 71168\n72409 100000\n53962 80886\n50749 76023\n37698 56372\n10167 15253\n17878 26751\n78725 100000\n65409 98110\n38119 57015\n87934 100000\n3250 4899\n40248 60229\n85321 100000\n20653 30885\n62325 93512\n54355 81478\n96404 100000\n63517 95265\n29167 43576\n51783 77603\n24181 36160\n6816 10195\n53318 79905\n83030 100000\n46297 69307\n70882 100000\n43244 64705\n56635 84900\n34661 51821\n2977 4486\n64148 96213\n80939 100000\n46167 69110\n15212 22770\n65241 97859\n92411 100000\n39546 59186\n74621 100000\n93403 100000\n26557 39697\n85281 100000\n3028 4563\n22606 33797\n34536 51635\n11972 17955\n57715 86558\n78408 100000\n18430 27580\n21388 31971\n20810 31115\n55715 83525\n4034 6079\n37014 55342\n18718 28001\n66173 99276\n11876 17806\n6798 10167\n20338 30415\n43749 65466\n27983 41812\n32363 48394\n87280 100000\n57229 85813\n77850 100000\n68852 100000\n21253 31772\n94463 100000\n8548 12795\n83867 100000\n9062 13597\n22834 34140\n83580 100000\n15897 23802\n80728 100000\n44471 66552\n71911 100000\n11310 16957\n87212 100000\n7226 10816\n38037 56890\n72131 100000\n10452 15678\n75000 100000\n82167 100000\n71272 100000\n80623 100000\n30245 45204\n15541 23270\n97590 100000\n37215 55651\n10278 15426\n15143 22666\n91723 100000\n50378 75479\n84753 100000\n16086 24090\n23058 34477\n33453 50006\n7290 10912\n73717 100000\n34699 51879\n97573 100000\n9184 13782\n30078 44953\n97353 100000\n29219 43655\n3903 5881\n85577 100000\n23965 35841\n15472 23163\n38101 56989\n78968 100000\n65142 97704\n61271 91925\n70364 100000\n71612 100000\n58830 88231\n90398 100000\n60424 90637\n55463 83145\n1272 1934\n45223 67681\n23101 34545\n58550 87821\n39056 58445\n19434 29063\n28938 43239\n96704 100000\n26908 40207\n24943 37270\n21382 31961\n15805 23666\n65045 97556\n57408 86084\n22842 34150\n95132 100000\n91887 100000\n29282 43747\n42980 64307\n94879 100000\n84968 100000\n82515 100000\n70004 100000\n47871 71693\n95120 100000\n56028 83990\n57201 85768\n35728 53413\n52807 79149\n90420 100000\n66096 99154\n56032 83995\n14453 21650\n81800 100000\n15006 22462\n59589 89377\n73822 100000\n50195 75198\n59724 89578\n54627 81891\n2817 4248\n17225 25774\n56676 84961\n77482 100000\n30102 44989\n50574 75776\n25255 37730\n60054 90081\n32109 48015\n40180 60132\n70819 100000\n89928 100000\n30850 46120\n30555 45672\n64070 96094\n72535 100000\n3244 4891\n29899 44689\n12671 18999\n61666 92503\n98722 100000\n60977 91458\n19145 28630\n56838 85200\n78835 100000\n7251 10855\n1097 1677\n20585 30789\n96807 100000\n1959 2947\n78537 100000\n89330 100000\n96987 100000\n16000 23960\n38 53\n44759 66982\n20425 30551\n99457 100000\n69469 100000\n33328 49822\n34559 51670\n89047 100000\n52041 77991\n22815 34112\n57721 86569\n6995 10463\n32120 48032\n51936 77834\n4596 6910\n89437 100000\n21906 32746\n71839 100000\n30944 46260\n45815 68576\n75043 100000\n56749 85069\n71358 100000\n29202 43627\n18930 28315\n61525 92299\n84526 100000\n70856 100000\n2139 3226\n93326 100000\n46769 70024\n86606 100000\n43310 64803\n58716 88068\n85949 100000\n33385 49905\n50908 76267\n12947 19406\n87410 100000\n52511 78705\n97617 100000\n91107 100000\n21472 32100\n43809 65560\n20803 31104\n3570 5369\n74048 100000\n83031 100000\n97466 100000\n74978 100000\n39005 58368\n27267 40739\n29448 43986\n73866 100000\n46106 69019\n84643 100000\n69853 100000\n86624 100000\n9986 14978\n15702 23518\n11709 17559\n73015 100000\n63388 95084\n5932 8877\n49165 73642\n83288 100000\n4637 6973\n55953 83879\n98801 100000\n75938 100000\n12067 18105\n40050 59937\n60672 91010\n76156 100000\n44293 66287\n33598 50222\n60540 90815\n43405 64944\n76252 100000\n60139 90210\n65877 98815\n8739 13095\n70743 100000\n73910 100000\n99341 100000\n22120 33063\n59082 88598\n86197 100000\n19831 29644\n87540 100000\n67640 100000\n72015 100000\n62902 94360\n36945 55236\n47995 71881\n61790 92691\n69471 100000\n84051 100000\n38735 57962\n78743 100000\n65818 98729\n29606 44225\n35785 53496\n24104 36050\n93258 100000\n35397 52915\n86607 100000\n31327 46840\n62748 94123\n64036 96045\n71115 100000\n28271 42249\n56870 85252\n23086 34521\n30977 46312\n16128 24152\n29982 44813\n36449 54503\n77794 100000\n21595 32284\n98023 100000\n36515 54598\n73052 100000\n17286 25864\n74654 100000\n31661 47354\n74899 100000\n71192 100000\n10967 16447\n50745 76018\n52193 78217\n38020 56862\n9692 14536\n83270 100000\n17013 25447\n6581 9838\n65424 98133\n79589 100000\n58161 87227\n2365 3569\n93235 100000\n88012 100000\n1244 1893\n4493 6754\n56041 84009\n45419 67979\n93269 100000\n30496 45584\n359 537\n90988 100000\n36203 54127\n91257 100000\n42864 64132\n58497 87742\n20302 30362\n64147 96212\n86493 100000\n5357 8040\n32414 48468\n74526 100000\n1845 2776\n73973 100000\n43707 65401\n70200 100000\n81119 100000\n95609 100000\n98289 100000\n55830 83697\n29419 43944\n87421 100000\n7686 11507\n79599 100000\n88176 100000\n97644 100000\n27786 41515\n85680 100000\n59605 89403\n66947 100000\n78683 100000\n21966 32833\n48559 72717\n44528 66641\n13766 20617\n86285 100000\n91721 100000\n40595 60758\n95207 100000\n61984 92989\n89738 100000\n83315 100000\n98296 100000\n53336 79933\n69421 100000\n64300 96436\n26416 39486\n39006 58370\n67960 100000\n1948 2932\n55370 83009\n27566 41185\n49301 73852\n3942 5944\n227 343\n63234 94849\n11654 17476\n94172 100000\n62172 93282\n94983 100000\n21305 31847\n79205 100000\n64054 96073\n86368 100000\n47320 70853\n23870 35697\n51664 77414\n44219 66173\n25126 37536\n35223 52652\n69018 100000\n48725 72971\n29525 44104\n78403 100000\n52565 78794\n45495 68093\n88829 100000\n12758 19126\n64317 96463\n30475 45554\n97031 100000\n48159 72124\n55714 83524\n44038 65905\n52521 78720\n82186 100000\n70372 100000\n62635 93957\n45236 67701\n35145 52533\n87580 100000\n13604 20382\n99324 100000\n71423 100000\n26954 40278\n67095 100000\n54576 81809\n74490 100000\n14790 22138\n17886 26763\n12369 18550\n14520 21749\n25776 38508\n12563 18834\n63199 94798\n86016 100000\n75366 100000\n41702 62397\n19184 28682\n82349 100000\n28124 42023\n14239 21330\n9578 14360\n24635 36821\n61708 92571\n95536 100000\n20402 30513\n81358 100000\n31954 47780\n92634 100000\n53647 80421\n1271 1933\n32383 48424\n87746 100000\n51078 76526\n2857 4307\n20604 30811\n61164 91755\n35257 52704\n98604 100000\n77707 100000\n22512 33649\n17901 26787\n4701 7071\n88629 100000\n11952 17926\n59055 88558\n70553 100000\n18163 27176\n40365 60409\n86587 100000\n36830 55060\n5008 7527\n30764 45996\n80919 100000\n72348 100000\n17775 26590\n19433 29061\n78875 100000\n73639 100000\n59439 89147\n18769 28078\n22881 34212\n95917 100000\n78592 100000\n60478 90726\n62876 94316\n14815 22176\n11434 17144\n97119 100000\n81050 100000\n89834 100000\n94086 100000\n30721 45928\n21077 31516\n23538 35198\n35261 52711\n35473 53028\n956 1457\n56751 85071\n76891 100000\n44242 66208\n53675 80462\n14251 21350\n29197 43620\n86226 100000\n57746 86608\n25685 38370\n318 474\n31313 46822\n68442 100000\n26689 39882\n72358 100000\n30327 45330\n48381 72449\n63920 95869\n77060 100000\n99337 100000\n33877 50624\n40323 60343\n86605 100000\n14391 21553\n92518 100000\n73251 100000\n96974 100000\n54666 81954\n61735 92607\n9092 13640\n45609 68264\n66639 99989\n55221 82789\n37744 56444\n28902 43188\n76074 100000\n27642 41305\n20242 30272\n79662 100000\n46889 70207\n39274 58785\n14455 21653\n13987 20949\n55263 82853\n47304 70827\n30783 46022\n50352 75440\n67490 100000\n85050 100000\n46120 69037\n57042 85516\n13138 19689\n6546 9787\n97010 100000\n43713 65411\n2881 4341\n55844 83715\n58725 88080\n52083 78057\n41519 62133\n60686 91030\n77863 100000\n14279 21394\n49216 73725\n12849 19262\n10907 16355\n12529 18782\n81945 100000\n25565 38191\n61517 92287\n55167 82713\n83430 100000\n76053 100000\n47334 70876\n41957 62771\n17725 26513\n67842 100000\n65499 98250\n86004 100000\n92593 100000\n41184 61644\n39785 59548\n59362 89025\n49799 74610\n95670 100000\n46713 69943\n50520 75693\n63200 94799\n53600 80344\n84349 100000\n64522 96769\n31079 46473\n40871 61169\n71234 100000\n99357 100000\n61804 92712\n45446 68018\n86714 100000\n21437 32048\n63247 94870\n67146 100000\n85020 100000\n33540 50132\n32024 47890\n89733 100000\n62437 93665\n98603 100000\n60193 90293\n52758 79077\n24952 37281\n69003 100000\n12223 18335\n54849 82229\n53246 79795\n42754 63972\n71136 100000\n27593 41226\n79051 100000\n95821 100000\n76826 100000\n53985 80922\n76956 100000\n93671 100000\n24595 36761\n48672 72892\n43968 65799\n35751 53446\n92625 100000\n1791 2695\n75758 100000\n44387 66429\n99809 100000\n88761 100000\n3107 4686\n3732 5613\n96953 100000\n28896 43180\n35379 52887\n76347 100000\n5864 8775\n15386 23033\n82671 100000\n62251 93401\n11783 17670\n8142 12192\n5218 7836\n59768 89645\n89658 100000\n6519 9744\n43418 64963\n52027 77971\n62672 94008\n62706 94058\n51967 77880\n39273 58784\n16266 24354\n1597 2419\n48759 73020\n54156 81185\n9435 14156\n93705 100000\n43620 65277\n80136 100000\n74985 100000\n91022 100000\n81921 100000\n60249 90380\n37965 56776\n96945 100000\n60392 90586\n31085 46480\n44250 66219\n36529 54620\n23299 34839\n80371 100000\n53479 80155\n37927 56722\n89365 100000\n47929 71781\n59645 89461\n48290 72316\n69031 100000\n36855 55100\n58176 87247\n18590 27809\n8607 12884\n86112 100000\n71523 100000\n65533 98300\n16818 25152\n80370 100000\n95985 100000\n35664 53313\n87854 100000\n26099 39002\n3233 4875\n28087 41969\n59802 89696\n64833 97238\n8407 12586\n32642 48806\n35859 53603\n44070 65952\n6017 9011\n43299 64787\n48254 72265\n34778 51998\n78604 100000\n40135 60064\n71484 100000\n69239 100000\n65837 98756\n88616 100000\n52722 79025\n38206 57152\n52192 78216\n5766 8637\n86535 100000\n42504 63595\n61618 92431\n15436 23114\n64320 96466\n32516 48617\n87759 100000\n12581 18864\n58745 88107\n71586 100000\n77398 100000\n99221 100000\n4780 7193\n46697 69918\n73074 100000\n97394 100000\n90627 100000\n272 411\n26472 39570\n69179 100000\n55935 83853\n96956 100000\n65297 97941\n29264 43724\n85697 100000\n90782 100000\n60056 90085\n21738 32500\n47141 70585\n98568 100000\n76980 100000\n11534 17294\n91778 100000\n34685 51859\n88576 100000\n69634 100000\n27209 40654\n41120 61547\n85981 100000\n30826 46088\n42535 63637\n84883 100000\n3988 6011\n37769 56478\n7904 11833\n60217 90327\n47432 71034\n12672 19001\n37756 56461\n30813 46066\n32784 49017\n95204 100000\n14200 21272\n6351 9508\n70773 100000\n81473 100000\n43269 64739\n17075 25543\n13407 20090\n52005 77940\n85861 100000\n55355 82985\n29192 43615\n24946 37273\n94409 100000\n24346 36403\n55808 83662\n89362 100000\n19798 29591\n69959 100000\n70314 100000\n23125 34581\n91302 100000\n15443 23123\n17185 25712\n56690 84980\n46566 69721\n78064 100000\n27749 41458\n76217 100000\n55072 82573\n7925 11865\n94452 100000\n37737 56435\n82063 100000\n62285 93452\n25818 38574\n61957 92950\n89626 100000\n81699 100000\n14288 21407\n45538 68158\n82628 100000\n34120 50995\n35989 53800\n8177 12240\n54320 81424\n41253 61747\n33339 49839\n75881 100000\n41301 61819\n41628 62293\n93726 100000\n99928 100000\n67501 100000\n27474 41044\n6962 10410\n69213 100000\n80538 100000\n84190 100000\n47444 71053\n65977 98969\n79121 100000\n74971 100000\n70297 100000\n42665 63841\n79610 100000\n82304 100000\n67135 100000\n93208 100000\n35268 52722\n82546 100000\n96439 100000\n55357 82988\n84640 100000\n85985 100000\n2485 3749\n84303 100000\n78304 100000\n21255 31774\n43740 65453\n93784 100000\n69449 100000\n30595 45727\n28437 42486\n45549 68174\n58464 87694\n74959 100000\n69048 100000\n80026 100000\n63611 95411\n66426 99663\n29085 43457\n64728 97084\n94120 100000\n65013 97506\n39769 59522\n92371 100000\n84624 100000\n31754 47485\n65492 98240\n74611 100000\n94104 100000\n19013 28432\n99657 100000\n59001 88482\n59892 89829\n7014 10490\n47381 70953\n81557 100000\n55213 82778\n56672 84956\n39959 59805\n22590 33773\n15631 23411\n93035 100000\n71806 100000\n51138 76615\n27279 40757\n62893 94347\n32871 49142\n86312 100000\n67369 100000\n46687 69905\n23935 35799\n50572 75773\n26250 39236\n76410 100000\n3743 5629\n74529 100000\n65557 98335\n29745 44452\n28816 43056\n18390 27518\n74991 100000\n51110 76575\n26998 40345\n92210 100000\n72254 100000\n62513 93775\n94131 100000\n45874 68669\n74903 100000\n55834 83702\n48880 73199\n22439 33540\n31293 46788\n34872 52131\n17946 26859\n98687 100000\n37727 56420\n58258 87375\n52745 79056\n72304 100000\n63221 94828\n68258 100000\n90934 100000\n88843 100000\n74086 100000\n99710 100000\n98040 100000\n49375 73969\n48852 73156\n80983 100000\n55697 83498\n96153 100000\n68734 100000\n56002 83952\n97790 100000\n58129 87184\n60903 91357\n90152 100000\n78866 100000\n91654 100000\n98486 100000\n26527 39652\n98403 100000\n81190 100000\n30127 45022\n95953 100000\n73572 100000\n663 1014\n26269 39270\n55134 82666\n67624 100000\n82439 100000\n18273 27341\n16018 23989\n20088 30038\n21522 32180\n69072 100000\n97955 100000\n16211 24274\n99573 100000\n12697 19033\n48940 73292\n93664 100000\n29506 44072\n49395 73999\n55120 82646\n28435 42482\n14464 21667\n72159 100000\n17652 26410\n7485 11211\n19911 29767\n74489 100000\n46501 69625\n34196 51113\n48339 72387\n10111 15168\n97371 100000\n11012 16513\n17648 26403\n46815 70096\n173 259\n55238 82816\n98936 100000\n86515 100000\n47196 70664\n10083 15129\n58073 87103\n56525 84738\n54099 81097\n2277 3434\n47683 71403\n87340 100000\n34796 52022\n72355 100000\n27148 40568\n41987 62811\n4524 6802\n88410 100000\n42296 63290\n26793 40035\n3377 5082\n17894 26775\n14379 21535\n21875 32699\n6803 10176\n89925 100000\n48697 72929\n90112 100000\n84585 100000\n58697 88039\n81051 100000\n79830 100000\n39954 59797\n53976 80906\n8465 12671\n22062 32975\n6100 9136\n58687 88022\n29131 43522\n52966 79386\n49676 74425\n9746 14622\n65919 98881\n63968 95947\n90817 100000\n55880 83767\n52279 78360\n59389 89067\n42131 63033\n59773 89652\n76435 100000\n73511 100000\n42297 63291\n27361 40879\n19849 29672\n23786 35569\n33733 50417\n37721 56411\n44344 66366\n11407 17102\n54795 82150\n39065 58460\n322 480\n12258 18386\n23898 35740\n29499 44062\n96644 100000\n88853 100000\n81073 100000\n50726 75987\n69438 100000\n60043 90067\n19202 28714\n61148 91726\n70093 100000\n94267 100000\n34864 52118\n74027 100000\n9231 13856\n10221 15337\n20086 30035\n86948 100000\n28141 42049\n44606 66759\n54508 81708\n70847 100000\n3113 4696\n26648 39827\n39306 58832\n62272 93435\n30829 46092\n63412 95119\n55667 83450\n58747 88111\n93293 100000\n69273 100000\n21110 31563\n38029 56877\n99504 100000\n44477 66560\n85657 100000\n57728 86581\n59401 89086\n49127 73584\n32134 48053\n66045 99076\n11261 16883\n79302 100000\n5650 8470\n89149 100000\n86068 100000\n99219 100000\n85184 100000\n88121 100000\n26688 39881\n27302 40794\n51887 77761\n31653 47340\n45077 67455\n73174 100000\n35324 52808\n42295 63289\n37836 56586\n75859 100000\n69753 100000\n14562 21810\n3224 4860\n32116 48025\n56683 84970\n64869 97291\n23305 34850\n10529 15795\n68834 100000\n98321 100000\n31522 47137\n51365 76965\n2820 4252\n20244 30275\n64757 97128\n97582 100000\n13868 20768\n10779 16170\n47751 71512\n7074 10581\n18883 28248\n54652 81932\n28952 43263\n82502 100000\n1404 2127\n73579 100000\n56932 85348\n56082 84071\n89156 100000\n3018 4549\n77018 100000\n23230 34738\n93688 100000\n60957 91433\n38873 58164\n81771 100000\n48583 72758\n32269 48254\n56769 85097\n36358 54365\n72903 100000\n59307 88940\n96701 100000\n48038 71940\n47241 70731\n82962 100000\n52349 78461\n97312 100000\n27524 41123\n63848 95758\n48297 72327\n91254 100000\n64258 96378\n19818 29624\n28383 42411\n23072 34498\n87073 100000\n75731 100000\n56058 84038\n47722 71464\n48769 73034\n5685 8517\n99223 100000\n9663 14490\n13836 20723\n68806 100000\n95577 100000\n74156 100000\n25773 38503\n93986 100000\n58211 87306\n50699 75948\n62391 93605\n72446 100000\n49077 73502\n51941 77842\n21097 31546\n23206 34699\n75742 100000\n34898 52172\n95265 100000\n74866 100000\n455 687\n56004 83956\n26342 39378\n3647 5479\n85758 100000\n58202 87291\n76241 100000\n18262 27325\n99175 100000\n97139 100000\n87998 100000\n11802 17697\n90352 100000\n40489 60597\n66671 100000\n98482 100000\n86446 100000\n6170 9234\n64308 96450\n42981 64308\n4086 6152\n95622 100000\n39187 58644\n97201 100000\n54754 82089\n48689 72918\n35940 53728\n72187 100000\n38785 58032\n17307 25898\n29365 43862\n52185 78206\n85487 100000\n77745 100000\n51964 77877\n370 554\n8745 13103\n29845 44602\n59272 88883\n54513 81715\n97514 100000\n14353 21500\n70174 100000\n14541 21781\n497 752\n16774 25090\n96730 100000\n80038 100000\n5874 8790\n10955 16429\n82576 100000\n72673 100000\n16476 24649\n67847 100000\n90561 100000\n99370 100000\n98770 100000\n57845 86758\n85244 100000\n21983 32857\n56960 85390\n15734 23564\n303 455\n76722 100000\n72049 100000\n90061 100000\n29629 44266\n77793 100000\n94870 100000\n95589 100000\n78987 100000\n15164 22699\n56138 84155\n16926 25318\n61247 91887\n95882 100000\n31793 47541\n52766 79089\n46140 69068\n37654 56305\n44106 66009\n48264 72279\n7786 11654\n71307 100000\n31534 47155\n39217 58695\n50490 75649\n80386 100000\n48822 73114\n65746 98623\n9134 13703\n71407 100000\n30934 46245\n15068 22558\n62769 94152\n94242 100000\n9500 14249\n72166 100000\n64189 96274\n42225 63174\n11214 16812\n78123 100000\n25246 37714\n82008 100000\n81079 100000\n46425 69506\n59201 88779\n8124 12164\n75913 100000\n43111 64501\n29107 43487\n46042 68923\n4024 6065\n66614 99952\n63609 95407\n13548 20303\n61414 92135\n57722 86570\n84453 100000\n89568 100000\n52365 78486\n25217 37670\n45867 68659\n28951 43261\n69400 100000\n31783 47526\n55501 83195\n63550 95317\n7594 11369\n52391 78526\n56658 84936\n45542 68163\n96928 100000\n78734 100000\n74291 100000\n12292 18438\n19084 28533\n64884 97315\n65944 98919\n86150 100000\n22915 34259\n37736 56434\n34425 51452\n779 1187\n94371 100000\n7244 10843\n44464 66543\n88833 100000\n65067 97588\n34735 51934\n69978 100000\n57060 85547\n32206 48166\n51587 77298\n55831 83698\n79587 100000\n43526 65127\n87282 100000\n34284 51240\n88014 100000\n6914 10341\n35520 53099\n13887 20797\n87710 100000\n38581 57728\n82371 100000\n70754 100000\n83224 100000\n2591 3903\n74204 100000\n70764 100000\n44563 66688\n41601 62255\n82080 100000\n17958 26879\n63511 95257\n24583 36741\n70512 100000\n53339 79938\n94604 100000\n72067 100000\n20142 30122\n24705 36923\n47460 71073\n45055 67422\n88986 100000\n28986 43310\n25722 38427\n93245 100000\n44708 66904\n22620 33818\n87 134\n34659 51817\n96599 100000\n58684 88017\n64818 97214\n4999 7514\n14646 21922\n86051 100000\n41087 61496\n21788 32574\n2275 3431\n10783 16176\n69432 100000\n26188 39141\n86020 100000\n50013 74925\n33433 49971\n77400 100000\n50967 76359\n1396 2117\n81573 100000\n18135 27138\n93822 100000\n94950 100000\n76866 100000\n41379 61936\n99280 100000\n32457 48529\n38865 58152\n7138 10676\n97671 100000\n78050 100000\n93177 100000\n62810 94216\n29808 44545\n5387 8081\n40534 60666\n65846 98770\n33441 49984\n13246 19846\n97718 100000\n64854 97270\n21656 32378\n90319 100000\n87592 100000\n44234 66195\n16577 24800\n53638 80405\n91172 100000\n52864 79231\n98 150\n96567 100000\n56055 84033\n57255 85854\n27674 41345\n29199 43622\n76756 100000\n86872 100000\n3773 5671\n51061 76499\n80643 100000\n34083 50943\n26781 40017\n44860 67127\n79995 100000\n28893 43176\n51145 76623\n58565 87844\n33467 50029\n94815 100000\n52796 79134\n20372 30465\n40833 61112\n4496 6758\n15893 23797\n6518 9742\n17627 26372\n53377 80001\n94982 100000\n40608 60776\n81395 100000\n43720 65423\n40168 60116\n94194 100000\n11881 17815\n62085 93148\n36048 53889\n69243 100000\n64176 96257\n4264 6413\n16911 25297\n2461 3715\n34465 51519\n31950 47775\n21583 32269\n49151 73622\n79056 100000\n80646 100000\n42001 62832\n2794 4214\n6515 9738\n8604 12878\n17123 25616\n7142 10683\n87198 100000\n96972 100000\n28650 42802\n55227 82800\n52644 78905\n95395 100000\n43171 64591\n87044 100000\n86758 100000\n13964 20916\n31907 47711\n36713 54878\n59884 89817\n74161 100000\n5678 8508\n20943 31304\n18857 28205\n86512 100000\n57515 86249\n56721 85028\n7849 11748\n33118 49516\n77904 100000\n34395 51409\n89904 100000\n96621 100000\n66898 100000\n66799 100000\n58989 88465\n88084 100000\n27062 40441\n29824 44568\n9933 14900\n4250 6395\n84283 100000\n58180 87253\n12190 18284\n67509 100000\n71342 100000\n63793 95680\n99192 100000\n35092 52458\n76419 100000\n41491 62090\n46641 69835\n51645 77384\n72112 100000\n59632 89443\n87500 100000\n27033 40397\n75840 100000\n79030 100000\n53550 80265\n33419 49950\n75 114\n13444 20146\n42778 64009\n68841 100000\n92118 100000\n81717 100000\n89406 100000\n36853 55097\n50996 76402\n26106 39012\n26149 39079\n19620 29331\n42347 63368\n81539 100000\n66076 99123\n87153 100000\n88883 100000\n45702 68406\n1226 1867\n59450 89165\n77856 100000\n66004 99012\n97669 100000\n25958 38784\n44802 67041\n90455 100000\n57788 86678\n90808 100000\n79576 100000\n14910 22327\n93062 100000\n90281 100000\n85084 100000\n7888 11809\n89754 100000\n62646 93972\n13814 20690\n82491 100000\n17114 25600\n74565 100000\n10772 16161\n25133 37548\n96846 100000\n22112 33052\n11205 16799\n11011 16512\n85402 100000\n66942 100000\n91817 100000\n47286 70799\n98808 100000\n11892 17832\n90876 100000\n29594 44208\n95707 100000\n86282 100000\n18028 26983\n47755 71520\n9337 14009\n18320 27409\n13989 20952\n8856 13273\n21829 32637\n18023 26977\n33034 49389\n49956 74838\n98439 100000\n49265 73806\n28192 42131\n45896 68703\n32231 48200\n63704 95552\n8489 12707\n67442 100000\n19367 28953\n95489 100000\n82552 100000\n60585 90883\n56885 85275\n76470 100000\n37039 55382\n50306 75370\n5808 8695\n4696 7062\n34434 51468\n62725 94088\n44726 66932\n85724 100000\n90210 100000\n92708 100000\n74546 100000\n75277 100000\n57555 86312\n12501 18742\n39420 58996\n98138 100000\n82477 100000\n85770 100000\n68914 100000\n96611 100000\n24060 35988\n50339 75422\n8704 13040\n78056 100000\n42604 63743\n69256 100000\n82091 100000\n63795 95683\n71681 100000\n66844 100000\n49167 73646\n88910 100000\n71553 100000\n54739 82065\n57226 85809\n66691 100000\n97503 100000\n5805 8690\n89977 100000\n71206 100000\n14547 21788\n16261 24347\n47873 71695\n62186 93304\n84156 100000\n81063 100000\n1606 2433\n13797 20663\n24840 37117\n19049 28480\n73455 100000\n7189 10758\n62527 93798\n8401 12576\n81353 100000\n19418 29038\n88938 100000\n9009 13515\n10734 16105\n21622 32327\n57070 85561\n42235 63189\n51188 76687\n93727 100000\n91739 100000\n35689 53356\n6526 9757\n39928 59761\n52462 78630\n55106 82626\n9237 13863\n88856 100000\n99881 100000\n89866 100000\n25508 38110\n34287 51246\n86887 100000\n61780 92676\n4965 7457\n43060 64420\n47353 70908\n459 694\n62562 93849\n44046 65916\n83908 100000\n24264 36285\n85607 100000\n40123 60047\n55870 83752\n98216 100000\n11520 17272\n31881 47671\n58740 88101\n53305 79884\n98659 100000\n72150 100000\n65544 98317\n41788 62521\n69242 100000\n74231 100000\n32423 48480\n1321 2004\n74915 100000\n64904 97344\n60458 90694\n57274 85884\n31841 47609\n10079 15123\n86160 100000\n47341 70887\n62002 93016\n37137 55532\n15459 23145\n47746 71503\n38204 57149\n38211 57160\n71475 100000\n90230 100000\n43152 64563\n54417 81572\n75730 100000\n64363 96533\n77810 100000\n6329 9475\n37231 55674\n87188 100000\n10660 15994\n90178 100000\n37325 55812\n72377 100000\n39620 59299\n9698 14545\n37692 56362\n92005 100000\n21104 31556\n68242 100000\n27736 41440\n69746 100000\n46021 68893\n88531 100000\n37875 56643\n94057 100000\n42461 63533\n18728 28017\n64253 96370\n84099 100000\n13020 19516\n57510 86242\n154 232\n29963 44784\n25309 37811\n31423 46984\n13804 20673\n24227 36231\n12167 18246\n35219 52645\n29909 44702\n58928 88376\n48936 73286\n66222 99346\n83458 100000\n17434 26084\n29203 43629\n42091 62971\n71222 100000\n67325 100000\n10526 15791\n21506 32153\n72937 100000\n45319 67827\n14987 22433\n6149 9207\n1358 2062\n72807 100000\n28971 43291\n99815 100000\n44127 66040\n62518 93783\n61548 92332\n69799 100000\n43220 64670\n20456 30597\n92243 100000\n14177 21237\n38968 58314\n63427 95142\n16671 24936\n52469 78641\n42040 62896\n62802 94205\n96187 100000\n55131 82660\n97970 100000\n64586 96868\n23414 35010\n52065 78030\n21504 32149\n73589 100000\n10975 16460\n75031 100000\n59753 89621\n96910 100000\n26713 39920\n59461 89181\n7125 10658\n55437 83105\n28590 42706\n33939 50715\n49538 74218\n38931 58257\n86518 100000\n58275 87404\n87596 100000\n65450 98173\n81462 100000\n5596 8390\n42232 63185\n61947 92934\n95044 100000\n82450 100000\n36113 53996\n88610 100000\n89012 100000\n33139 49550\n15133 22652\n53416 80058\n8380 12547\n23153 34618\n29381 43888\n91313 100000\n97239 100000\n79962 100000\n77641 100000\n84292 100000\n75262 100000\n59446 89158\n82959 100000\n23797 35587\n14234 21322\n13100 19631\n88972 100000\n78610 100000\n83007 100000\n55975 83912\n56326 84440\n78850 100000\n52339 78446\n70510 100000\n92363 100000\n10657 15989\n47764 71533\n78687 100000\n82302 100000\n53836 80693\n75490 100000\n33267 49734\n72293 100000\n45333 67851\n26067 38957\n17994 26934\n73198 100000\n45584 68229\n79152 100000\n37777 56491\n7164 10719\n29960 44779\n57296 85918\n9691 14534\n41509 62118\n6762 10118\n33588 50206\n53138 79640\n10558 15842\n50288 75339\n76051 100000\n5220 7840\n52829 79180\n2310 3484\n31043 46415\n94808 100000\n3554 5349\n50680 75925\n87302 100000\n90740 100000\n60316 90478\n74063 100000\n35597 53214\n48753 73012\n54463 81640\n85189 100000\n56232 84289\n56007 83959\n86910 100000\n71334 100000\n7414 11100\n79757 100000\n83853 100000\n48016 71908\n77424 100000\n77817 100000\n95865 100000\n90849 100000\n7227 10818\n9729 14594\n97374 100000\n28820 43064\n30269 45243\n42956 64272\n6157 9216\n3135 4729\n17867 26733\n23784 35565\n51882 77753\n79722 100000\n17967 26892\n87404 100000\n55347 82975\n29617 44245\n36014 53835\n60541 90816\n93213 100000\n25231 37693\n50331 75409\n89115 100000\n70747 100000\n57982 86967\n42588 63720\n86949 100000\n6366 9531\n45444 68014\n86264 100000\n27476 41047\n32128 48044\n71087 100000\n29027 43373\n11268 16894\n73522 100000\n5903 8836\n64375 96549\n63432 95149\n74960 100000\n36247 54187\n82611 100000\n24366 36430\n80887 100000\n84615 100000\n94538 100000\n45596 68244\n57015 85474\n88412 100000\n35369 52873\n29162 43570\n7794 11666\n7631 11421\n2106 3176\n41002 61368\n79448 100000\n722 1097\n91680 100000\n84611 100000\n90452 100000\n14043 21031\n48912 73248\n32210 48173\n38354 57375\n31261 46742\n52642 78902\n96008 100000\n82795 100000\n62018 93039\n39863 59665\n79880 100000\n75564 100000\n23444 35060\n62125 93211\n34332 51316\n64501 96735\n90625 100000\n30880 46163\n66138 99221\n29757 44468\n28681 42852\n66066 99109\n55500 83194\n6284 9405\n47316 70847\n67309 100000\n53360 79971\n97701 100000\n37572 56178\n44010 65863\n32399 48446\n99988 100000\n40507 60623\n43358 64870\n38666 57860\n17801 26627\n70217 100000\n45645 68318\n22432 33527\n58931 88381\n29894 44682\n28543 42637\n98144 100000\n48473 72584\n92713 100000\n69095 100000\n39233 58723\n34711 51899\n91667 100000\n81405 100000\n31072 46461\n95984 100000\n9510 14262\n63797 95686\n39613 59287\n67926 100000\n78696 100000\n61071 91606\n1245 1895\n10632 15950\n55605 83360\n77083 100000\n93370 100000\n59324 88964\n56882 85270\n84899 100000\n34741 51943\n15431 23105\n43037 64386\n33260 49725\n22303 33329\n20710 30969\n14516 21743\n75788 100000\n15256 22840\n9704 14556\n3169 4774\n51787 77611\n85932 100000\n23373 34951\n57086 85584\n42586 63718\n80363 100000\n47773 71547\n31184 46622\n57480 86194\n24672 36873\n73766 100000\n87981 100000\n77159 100000\n4621 6950\n17532 26227\n73163 100000\n13216 19802\n8722 13069\n77631 100000\n87908 100000\n35146 52535\n56666 84946\n93693 100000\n41430 62005\n9764 14651\n63827 95728\n65804 98709\n51900 77777\n69442 100000\n94712 100000\n94836 100000\n30423 45475\n36040 53873\n25181 37619\n20241 30270\n38042 56899\n25786 38523\n16276 24368\n11871 17796\n19778 29566\n18550 27749\n682 1037\n94436 100000\n22917 34262\n50468 75615\n90615 100000\n84655 100000\n39002 58364\n68024 100000\n46313 69330\n22108 33045\n2931 4414\n98449 100000\n12024 18037\n53058 79517\n68341 100000\n36570 54679\n49919 74788\n33859 50597\n93653 100000\n47086 70495\n97347 100000\n57673 86491\n91185 100000\n77499 100000\n49546 74231\n44599 66750\n75329 100000\n62460 93698\n83520 100000\n45073 67450\n82734 100000\n67769 100000\n5332 8001\n6517 9741\n28690 42867\n22116 33057\n11843 17755\n60081 90121\n88667 100000\n5877 8794\n6975 10431\n71570 100000\n66872 100000\n70686 100000\n24415 36495\n54588 81827\n35074 52432\n67089 100000\n37603 56223\n1162 1777\n2770 4177\n61769 92659\n2385 3599\n49036 73439\n69269 100000\n33442 49986\n82819 100000\n12930 19381\n29988 44821\n77294 100000\n75264 100000\n35885 53642\n20730 30995\n81797 100000\n27266 40737\n46531 69669\n29697 44378\n13702 20520\n10035 15054\n87920 100000\n23318 34868\n9249 13881\n64361 96531\n6767 10126\n37352 55852\n54448 81623\n63224 94831\n11775 17656\n19614 29323\n529 804\n42485 63568\n88857 100000\n84062 100000\n62686 94030\n84235 100000\n79642 100000\n80230 100000\n47643 71346\n40406 60475\n61951 92940\n4249 6394\n96652 100000\n84870 100000\n27922 41722\n27059 40435\n90771 100000\n3645 5476\n4242 6383\n65975 98967\n6064 9079\n21782 32566\n82547 100000\n98400 100000\n96228 100000\n15465 23154\n33881 50631\n89 137\n93322 100000\n92974 100000\n76299 100000\n27488 41067\n27783 41511\n79128 100000\n45276 67765\n95936 100000\n12811 19204\n3168 4773\n35166 52567\n50171 75161\n23608 35301\n82258 100000\n35598 53215\n38997 58357\n21926 32775\n46353 69392\n72455 100000\n60958 91435\n97643 100000\n68990 100000\n83934 100000\n23397 34985\n23344 34909\n33961 50754\n23529 35187\n34164 51063\n92500 100000\n4256 6404\n24295 36327\n5337 8008\n24686 36891\n79165 100000\n46759 70009\n58344 87514\n83505 100000\n45589 68236\n54328 81437\n11006 16505\n49589 74299\n17779 26596\n49089 73523\n48146 72106\n73275 100000\n61227 91851\n49444 74076\n81078 100000\n5071 7615\n39929 59762\n68534 100000\n92792 100000\n58711 88060\n67499 100000\n30426 45480\n44611 66766\n12332 18498\n52857 79220\n67795 100000\n6666 9971\n68392 100000\n69064 100000\n23087 34522\n29518 44093\n10424 15640\n18313 27400\n49101 73540\n63126 94689\n48561 72721\n11165 16732\n75695 100000\n40202 60167\n77617 100000\n86850 100000\n88893 100000\n98783 100000\n7666 11477\n51179 76674\n74314 100000\n85514 100000\n1882 2833\n4468 6715\n8396 12568\n81994 100000\n43045 64399\n61287 91950\n1720 2596\n52918 79309\n29155 43559\n77932 100000\n72048 100000\n71001 100000\n66346 99533\n2800 4224\n81851 100000\n5283 7929\n38229 57185\n24799 37061\n29650 44304\n96294 100000\n64453 96653\n90591 100000\n60141 90214\n33138 49548\n18387 27514\n28331 42340\n46520 69654\n43153 64565\n26555 39694\n51530 77212\n26726 39940\n69647 100000\n3514 5291\n72862 100000\n31726 47446\n23411 35005\n29028 43375\n23256 34777\n75046 100000\n14647 21924\n5152 7734\n25749 38466\n23034 34440\n19558 29238\n96176 100000\n57033 85501\n70498 100000\n93358 100000\n28810 43046\n27489 41069\n82660 100000\n54587 81826\n81236 100000\n61016 91519\n51513 77186\n80129 100000\n44028 65890\n72977 100000\n78126 100000\n33035 49390\n27047 40416\n89436 100000\n70780 100000\n79917 100000\n50888 76235\n46703 69928\n49935 74810\n29786 44512\n75209 100000\n52157 78168\n36917 55190\n18782 28096\n2131 3212\n20168 30161\n15314 22930\n12154 18231\n68824 100000\n48065 71979\n80075 100000\n98944 100000\n88265 100000\n63499 95241\n76932 100000\n34512 51597\n37048 55398\n77129 100000\n11001 16496\n72950 100000\n90872 100000\n14040 21027\n74470 100000\n3336 5018\n47388 70966\n21618 32321\n66890 100000\n25064 37444\n30807 46058\n58393 87589\n57806 86705\n18436 27587\n81801 100000\n78934 100000\n72734 100000\n17024 25463\n83402 100000\n52055 78013\n903 1376\n30395 45435\n39206 58677\n64896 97332\n11456 17180\n26432 39510\n61580 92378\n60463 90703\n37890 56668\n12481 18711\n99932 100000\n22180 33149\n39419 58994\n88202 100000\n60697 91047\n52862 79229\n69556 100000\n4506 6773\n6625 9911\n86225 100000\n24108 36057\n9561 14336\n14341 21483\n22847 34157\n193 292\n76119 100000\n52769 79093\n74318 100000\n10520 15782\n91379 100000\n97554 100000\n80334 100000\n54238 81305\n67326 100000\n67881 100000\n77252 100000\n78139 100000\n14351 21496\n95147 100000\n76373 100000\n50122 75089\n34956 52257\n60538 90812\n74261 100000\n59029 88519\n52779 79109\n50544 75728\n42834 64088\n3427 5160\n64055 96074\n6119 9164\n66488 99756\n36839 55075\n45360 67887\n79267 100000\n26546 39678\n91805 100000\n72576 100000\n9271 13910\n28223 42180\n70471 100000\n43390 64922\n63131 94696\n81673 100000\n78190 100000\n14051 21043\n99886 100000\n81758 100000\n64321 96468\n15843 23719\n96090 100000\n65718 98578\n48702 72935\n81579 100000\n85567 100000\n85040 100000\n53477 80152\n99205 100000\n82355 100000\n40895 61204\n22964 34331\n86166 100000\n7420 11107\n65047 97558\n1817 2732\n26030 38897\n14717 22034\n28406 42439\n4712 7086\n6614 9892\n75871 100000\n64046 96060\n98830 100000\n84751 100000\n7376 11042\n84542 100000\n28137 42042\n54490 81684\n669 1021\n29295 43765\n58397 87596\n40496 60609\n57976 86958\n87308 100000\n65310 97959\n2317 3496\n36440 54490\n85655 100000\n26237 39215\n81911 100000\n23989 35880\n28250 42220\n76075 100000\n29161 43569\n17270 25841\n96901 100000\n33792 50499\n38070 56942\n92469 100000\n54763 82102\n72233 100000\n35193 52608\n66258 99401\n39999 59861\n52413 78554\n37170 55581\n40912 61230\n8213 12296\n80274 100000\n89597 100000\n25529 38141\n80945 100000\n48127 72077\n416 625\n77452 100000\n4769 7175\n81030 100000\n60450 90680\n48901 73234\n28953 43264\n56211 84262\n43321 64818\n39850 59645\n26211 39177\n92906 100000\n36712 54877\n46184 69136\n61057 91585\n52977 79402\n4072 6131\n55826 83689\n34727 51922\n47014 70387\n43978 65816\n94664 100000\n41909 62700\n84185 100000\n45900 68709\n71207 100000\n63144 94715\n80649 100000\n31161 46592\n74411 100000\n60550 90829\n63807 95701\n39122 58541\n94884 100000\n88232 100000\n18145 27152\n52072 78041\n86283 100000\n65687 98531\n25763 38487\n6804 10177\n90336 100000\n56132 84147\n36832 55064\n44332 66347\n74302 100000\n73137 100000\n18154 27165\n98823 100000\n22461 33573\n10036 15055\n1342 2035\n49586 74294\n45906 68717\n54708 82017\n17231 25782\n57344 85989\n80466 100000\n45713 68424\n67359 100000\n46894 70214\n13727 20556\n88505 100000\n69663 100000\n24600 36769\n75096 100000\n11096 16636\n411 619\n8975 13460\n75597 100000\n57244 85837\n29705 44390\n16702 24985\n61650 92480\n94660 100000\n50654 75887\n12446 18665\n50279 75327\n12887 19319\n49399 74006\n94305 100000\n57520 86259\n10318 15484\n30080 44957\n68884 100000\n67406 100000\n73533 100000\n20150 30133\n86760 100000\n77787 100000\n31248 46722\n94187 100000\n40488 60596\n83061 100000\n2406 3632\n46401 69468\n58524 87785\n28466 42527\n33811 50527\n30495 45583\n12138 18210\n99115 100000\n32413 48467\n80654 100000\n74764 100000\n58654 87974\n76591 100000\n30852 46124\n23584 35266\n55907 83811\n29738 44442\n26905 40204\n91299 100000\n83363 100000\n25145 37564\n6547 9788\n38043 56900\n16500 24681\n3875 5836\n64168 96242\n42364 63396\n27088 40481\n45003 67343\n36459 54515\n27800 41538\n36038 53871\n90092 100000\n75983 100000\n10719 16082\n98847 100000\n65838 98758\n40590 60750\n36977 55283\n14340 21481\n65206 97804\n94476 100000\n84595 100000\n35373 52878\n86770 100000\n10517 15777\n65750 98629\n68325 100000\n83106 100000\n69852 100000\n55600 83351\n28523 42606\n21173 31657\n64245 96358\n577 876\n90269 100000\n81312 100000\n24968 37303\n95448 100000\n50062 74996\n97025 100000\n11728 17584\n76899 100000\n33165 49586\n16737 25038\n56411 84571\n68237 100000\n82192 100000\n72859 100000\n82105 100000\n12719 19067\n82718 100000\n45314 67818\n49257 73793\n18636 27875\n77618 100000\n4028 6071\n49796 74607\n29473 44023\n50487 75645\n93455 100000\n54925 82347\n68963 100000\n83573 100000\n77412 100000\n50026 74944\n69473 100000\n46335 69363\n2582 3891\n13605 20384\n51276 76823\n99096 100000\n88005 100000\n7910 11843\n26316 39339\n36323 54307\n90866 100000\n66330 99510\n25105 37508\n44682 66868\n56261 84330\n11016 16518\n32604 48749\n96828 100000\n6748 10095\n48961 73325\n70187 100000\n62782 94172\n88185 100000\n76060 100000\n70659 100000\n10755 16133\n22900 34240\n41733 62444\n23200 34690\n36390 54417\n802 1217\n12236 18356\n44083 65972\n74542 100000\n63568 95345\n17263 25831\n71439 100000\n213 324\n24794 37052\n49401 74010\n46274 69272\n92764 100000\n54608 81859\n9560 14334\n70745 100000\n86323 100000\n37115 55498\n53744 80565\n41630 62296\n36091 53960\n59360 89022\n31872 47656\n59 87\n52102 78087\n1748 2633\n84556 100000\n28775 42992\n35125 52507\n39820 59602\n32012 47873\n84673 100000\n83468 100000\n89082 100000\n99712 100000\n90839 100000\n50815 76123\n88050 100000\n2489 3755\n29863 44631\n50071 75009\n84566 100000\n87139 100000\n80612 100000\n82840 100000\n89140 100000\n18643 27885\n24913 37228\n11077 16607\n62152 93252\n91671 100000\n14602 21863\n85629 100000\n11659 17484\n65847 98771\n78895 100000\n1171 1790\n81086 100000\n80244 100000\n38791 58040\n29067 43429\n10084 15130\n15740 23574\n23830 35636\n72262 100000\n62582 93881\n93790 100000\n25483 38076\n45204 67651\n18319 27408\n94929 100000\n76569 100000\n58554 87827\n97288 100000\n57444 86141\n84810 100000\n40199 60163\n65832 98749\n97488 100000\n47005 70377\n42428 63487\n20056 29986\n50584 75792\n15765 23608\n99581 100000\n45612 68269\n69266 100000\n94393 100000\n21899 32734\n53460 80127\n4671 7023\n25583 38216\n25716 38418\n86710 100000\n51163 76652\n39860 59661\n22477 33597\n48938 73289\n3381 5089\n70546 100000\n22870 34194\n39725 59463\n90527 100000\n47486 71111\n85988 100000\n25915 38721\n23715 35462\n38390 57431\n78180 100000\n43499 65084\n90497 100000\n21848 32663\n98987 100000\n90347 100000\n64465 96673\n50812 76117\n69397 100000\n48944 73299\n22009 32897\n22056 32967\n75261 100000\n30902 46196\n66600 99932\n77378 100000\n51677 77434\n48813 73100\n58528 87789\n56189 84235\n31402 46952\n895 1365\n93146 100000\n24238 36246\n87845 100000\n97403 100000\n31711 47427\n67209 100000\n75692 100000\n16753 25059\n4674 7029\n36919 55193\n78735 100000\n32435 48498\n11411 17108\n88123 100000\n36491 54563\n86798 100000\n36481 54546\n24812 37078\n13172 19737\n46339 69370\n7614 11398\n22925 34277\n99325 100000\n77687 100000\n63697 95541\n78096 100000\n92983 100000\n40398 60463\n8490 12709\n27118 40526\n25882 38671\n45096 67485\n29648 44300\n29193 43616\n26785 40021\n93856 100000\n15202 22757\n80588 100000\n24476 36583\n47478 71099\n97840 100000\n5543 8310\n56050 84025\n65282 97921\n76611 100000\n53602 80348\n61321 92001\n30107 44998\n2200 3319\n74536 100000\n89670 100000\n77164 100000\n17825 26663\n24709 36929\n64737 97097\n42467 63542\n77170 100000\n2843 4288\n80272 100000\n87174 100000\n57205 85775\n46831 70122\n85848 100000\n78376 100000\n59817 89720\n56199 84247\n95887 100000\n15602 23365\n7788 11657\n2411 3640\n74707 100000\n24199 36189\n25267 37751\n75605 100000\n3850 5795\n24653 36848\n85216 100000\n35228 52659\n67316 100000\n75241 100000\n27436 40993\n78263 100000\n21037 31454\n42679 63859\n48202 72184\n49325 73893\n7640 11434\n97608 100000\n28945 43249\n71949 100000\n22765 34042\n44458 66532\n83172 100000\n77369 100000\n901 1374\n2755 4155\n91005 100000\n28653 42806\n64958 97424\n6852 10249\n44770 66998\n33591 50212\n17117 25605\n73885 100000\n20229 30253\n42133 63037\n69051 100000\n2260 3408\n33141 49552\n4412 6632\n38608 57770\n82802 100000\n39143 58574\n61491 92247\n58996 88475\n8954 13427\n84603 100000\n16552 24765\n36251 54193\n76919 100000\n77761 100000\n26523 39646\n2364 3567\n87406 100000\n9595 14382\n95968 100000\n59061 88567\n23038 34448\n83832 100000\n54790 82142\n27384 40915\n41231 61712\n21640 32352\n4170 6278\n71517 100000\n9603 14396\n51162 76650\n2468 3725\n57215 85789\n10971 16453\n88279 100000\n47166 70622\n6923 10352\n83428 100000\n62555 93839\n82318 100000\n41411 61979\n47290 70806\n18167 27183\n48429 72518\n14691 21994\n58425 87637\n57284 85901\n85207 100000\n71105 100000\n78466 100000\n87611 100000\n5930 8874\n80463 100000\n58268 87391\n40615 60787\n27941 41749\n2210 3336\n79177 100000\n92849 100000\n27142 40560\n55867 83747\n89569 100000\n22721 33977\n41573 62209\n50565 75762\n34987 52302\n50347 75433\n32867 49137\n95891 100000\n44782 67015\n99366 100000\n22824 34124\n34873 52133\n76742 100000\n89808 100000\n81776 100000\n73799 100000\n3782 5686\n98732 100000\n26451 39537\n21668 32394\n82520 100000\n94460 100000\n48161 72127\n46179 69129\n48420 72507\n98734 100000\n22965 34332\n65747 98624\n82740 100000\n38930 58255\n39899 59718\n6441 9633\n87347 100000\n2720 4100\n70369 100000\n65998 99002\n67554 100000\n64217 96316\n33334 49830\n53524 80227\n4852 7298\n73610 100000\n3246 4895\n45547 68170\n61597 92401\n89930 100000\n82688 100000\n21541 32208\n94687 100000\n38167 57090\n76195 100000\n47179 70640\n41209 61680\n19376 28968\n73200 100000\n47695 71421\n69309 100000\n31855 47629\n25859 38637\n95880 100000\n93217 100000\n86854 100000\n65839 98759\n41180 61637\n50401 75510\n32934 49239\n59268 88876\n66604 99939\n80127 100000\n85471 100000\n37582 56194\n26779 40015\n67966 100000\n58975 88443\n6442 9634\n42398 63446\n71178 100000\n66540 99840\n28079 41955\n69981 100000\n82762 100000\n59153 88706\n96694 100000\n75998 100000\n55890 83781\n83774 100000\n37136 55530\n73287 100000\n4589 6899\n65073 97597\n37405 55930\n10101 15155\n62381 93594\n45372 67907\n49389 73990\n84282 100000\n72838 100000\n60527 90797\n49854 74692\n81845 100000\n59062 88568\n89147 100000\n27207 40652\n12166 18244\n85687 100000\n76339 100000\n99566 100000\n24163 36135\n18089 27070\n55689 83485\n60479 90727\n73690 100000\n70381 100000\n92768 100000\n44668 66849\n42136 63043\n64376 96550\n7789 11659\n5327 7993\n1004 1536\n61420 92143\n81456 100000\n21299 31839\n14004 20976\n20669 30907\n71979 100000\n96221 100000\n28762 42970\n84577 100000\n84241 100000\n78415 100000\n95608 100000\n39825 59610\n51134 76609\n44190 66133\n20199 30201\n8072 12086\n6092 9125\n84295 100000\n51736 77524\n20494 30657\n50228 75250\n88758 100000\n54900 82310\n49782 74586\n42560 63679\n79949 100000\n76371 100000\n19638 29361\n20752 31026\n30036 44891\n46986 70345\n62234 93377\n14185 21250\n74756 100000\n59775 89654\n10361 15543\n88214 100000\n62573 93866\n97210 100000\n32000 47850\n19823 29631\n10987 16477\n1146 1752\n44538 66654\n13375 20044\n40779 61033\n31496 47094\n57081 85576\n20629 30851\n39378 58936\n83553 100000\n69572 100000\n63844 95751\n89438 100000\n14123 21152\n34254 51199\n73228 100000\n60745 91122\n25653 38319\n41219 61695\n61757 92645\n24611 36787\n53308 79889\n55464 83146\n93469 100000\n43023 64367\n35672 53327\n41264 61760\n13157 19713\n29719 44415\n81984 100000\n70551 100000\n63473 95208\n21017 31422\n64690 97024\n72880 100000\n32344 48368\n35606 53227\n63696 95539\n94568 100000\n88759 100000\n94301 100000\n66663 100000\n39057 58446\n54231 81293\n76114 100000\n29632 44272\n50461 75604\n72543 100000\n6913 10339\n18922 28305\n61393 92103\n1589 2408\n45677 68366\n18496 27673\n13794 20659\n71571 100000\n53399 80031\n77162 100000\n60112 90170\n24316 36360\n13580 20348\n75899 100000\n80607 100000\n8822 13221\n96893 100000\n20680 30923\n6971 10424\n35943 53731\n23672 35396\n37445 55990\n29726 44423\n11641 17453\n70862 100000\n79704 100000\n3887 5853\n42641 63802\n77686 100000\n24344 36400\n37171 55583\n34715 51903\n22790 34077\n45007 67348\n87895 100000\n84281 100000\n54828 82199\n15969 23911\n34939 52235\n89812 100000\n6707 10033\n11323 16977\n19098 28556\n2862 4314\n79629 100000\n89131 100000\n16512 24704\n1354 2057\n92159 100000\n14666 21954\n86620 100000\n26128 39047\n50625 75846\n24880 37178\n14034 21018\n26260 39255\n89039 100000\n4016 6054\n97717 100000\n5506 8254\n2799 4222\n88028 100000\n39045 58429\n47455 71066\n26094 38994\n63031 94549\n21528 32189\n38789 58037\n493 745\n2577 3884\n84949 100000\n82343 100000\n76412 100000\n16765 25076\n31120 46530\n35593 53208\n14331 21468\n98340 100000\n16683 24955\n17106 25586\n32910 49206\n65152 97719\n50417 75534\n41016 61392\n10634 15954\n9942 14912\n57095 85599\n76366 100000\n29143 43539\n82998 100000\n97052 100000\n85839 100000\n54645 81922\n57307 85935\n4876 7333\n34337 51324\n88609 100000\n688 1045\n49255 73789\n36500 54575\n29973 44799\n34658 51815\n43769 65499\n97460 100000\n94521 100000\n43436 64992\n2993 4511\n46988 70347\n22275 33286\n77230 100000\n9902 14851\n78439 100000\n49664 74407\n66857 100000\n75041 100000\n93892 100000\n49567 74263\n79110 100000\n5910 8846\n97285 100000\n34790 52015\n196 296\n87137 100000\n31829 47590\n56610 84867\n84012 100000\n7753 11605\n84685 100000\n24294 36325\n32823 49077\n84999 100000\n48543 72694\n4672 7025\n88925 100000\n65590 98383\n63784 95668\n73106 100000\n87464 100000\n54748 82078\n25473 38060\n87568 100000\n70744 100000\n21730 32489\n9174 13767\n11391 17080\n29698 44380\n30879 46162\n60798 91199\n38668 57862\n77928 100000\n5641 8454\n69635 100000\n34276 51228\n36297 54267\n23894 35733\n51255 76792\n63263 94894\n29451 43990\n10631 15949\n50450 75586\n28950 43259\n52126 78125\n56745 85063\n35673 53328\n92246 100000\n92127 100000\n93524 100000\n33950 50735\n10075 15116\n58644 87959\n63524 95278\n32464 48539\n17927 26830\n88075 100000\n15137 22656\n58955 88413\n68133 100000\n49354 73938\n10839 16252\n2081 3137\n19043 28470\n69931 100000\n54915 82332\n2112 3186\n85440 100000\n18906 28281\n73294 100000\n68708 100000\n91854 100000\n90314 100000\n41312 61834\n94367 100000\n80768 100000\n45115 67513\n79446 100000\n85166 100000\n91577 100000\n77501 100000\n91078 100000\n48263 72277\n60408 90609\n34285 51242\n70931 100000\n43346 64853\n14413 21588\n75904 100000\n27123 40533\n8751 13112\n35395 52911\n74722 100000\n30302 45294\n60107 90162\n82237 100000\n75150 100000\n94475 100000\n21945 32802\n12201 18304\n35708 53386\n50317 75386\n86779 100000\n54048 81022\n45256 67733\n17947 26861\n7110 10633\n12305 18457\n57783 86668\n88716 100000\n67450 100000\n66843 100000\n19848 29671\n98562 100000\n76511 100000\n55614 83374\n17418 26063\n26264 39261\n25861 38641\n61809 92720\n31816 47575\n87444 100000\n4633 6967\n70192 100000\n11794 17687\n30055 44919\n87195 100000\n24282 36309\n39833 59622\n32382 48422\n94759 100000\n99012 100000\n4562 6860\n18711 27990\n40209 60177\n5575 8361\n59803 89698\n96650 100000\n10143 15215\n2449 3697\n16617 24858\n12370 18552\n81354 100000\n30624 45775\n34937 52232\n94015 100000\n61839 92770\n51019 76437\n78647 100000\n25917 38724\n95378 100000\n12916 19362\n89415 100000\n6233 9328\n94229 100000\n42563 63682\n78871 100000\n72021 100000\n19113 28580\n79018 100000\n40124 60048\n56931 85346\n98293 100000\n14937 22363\n32992 49327\n24891 37195\n40981 61335\n91913 100000\n41057 61452\n95999 100000\n67542 100000\n85547 100000\n46557 69708\n12776 19154\n77283 100000\n52155 78166\n9536 14298\n53231 79774\n89431 100000\n39961 59807\n25887 38678\n38604 57763\n63278 94917\n126 190\n15165 22701\n93989 100000\n40658 60849\n19701 29454\n12570 18846\n30978 46313\n12489 18724\n80707 100000\n22835 34141\n32 46\n53091 79570\n27231 40685\n98448 100000\n84343 100000\n22733 33996\n42930 64234\n86677 100000\n25513 38116\n46823 70109\n84513 100000\n35344 52837\n50978 76374\n16841 25187\n17467 26132\n28133 42037\n44380 66418\n78681 100000\n65121 97671\n69143 100000\n39689 59405\n10502 15757\n92567 100000\n63300 94952\n93990 100000\n93941 100000\n20254 30293\n25016 37370\n67797 100000\n13090 19619\n96803 100000\n78979 100000\n5340 8012\n11781 17667\n31075 46467\n82183 100000\n33297 49775\n52444 78601\n36083 53946\n78098 100000\n38257 57231\n32938 49247\n47406 70995\n9143 13718\n41452 62037\n66552 99857\n44575 66709\n79906 100000\n65599 98399\n47901 71739\n51082 76533\n7764 11620\n76397 100000\n99979 100000\n75226 100000\n98142 100000\n26228 39201\n45024 67377\n72767 100000\n31516 47127\n12527 18780\n11814 17711\n26982 40321\n52008 77943\n3986 6008\n73697 100000\n4439 6670\n71 108\n87232 100000\n69595 100000\n38445 57517\n57374 86032\n7085 10596\n39131 58554\n87210 100000\n85248 100000\n87655 100000\n68613 100000\n16110 24126\n98231 100000\n50418 75535\n78827 100000\n75646 100000\n77177 100000\n7293 10917\n14572 21823\n80969 100000\n30997 46343\n16830 25167\n5835 8735\n65779 98673\n35424 52958\n92895 100000\n64648 96963\n45624 68289\n74813 100000\n91693 100000\n47233 70719\n19306 28867\n76133 100000\n55133 82664\n73775 100000\n73377 100000\n71325 100000\n79818 100000\n94506 100000\n72532 100000\n56292 84383\n96420 100000\n93630 100000\n67343 100000\n11595 17383\n54196 81244\n15902 23809\n8300 12424\n9593 14380\n55894 83787\n73425 100000\n93064 100000\n38419 57473\n3030 4565\n72424 100000\n73453 100000\n27172 40603\n83026 100000\n90552 100000\n38900 58206\n9221 13842\n28340 42353\n70964 100000\n20155 30140\n1151 1760\n56210 84261\n77549 100000\n25362 37893\n17107 25587\n27494 41077\n57082 85577\n80628 100000\n92220 100000\n38124 57022\n46985 70343\n55003 82471\n75723 100000\n80727 100000\n45711 68421\n59489 89222\n10370 15559\n89379 100000\n52927 79322\n16465 24636\n94832 100000\n28559 42658\n90299 100000\n4750 7142\n6556 9799\n88040 100000\n54787 82138\n91393 100000\n52424 78572\n73561 100000\n1046 1599\n12058 18090\n72119 100000\n89394 100000\n2053 3093\n10984 16472\n83121 100000\n90155 100000\n1154 1765\n60008 90014\n17341 25947\n77621 100000\n37990 56815\n34965 52269\n14134 21167\n68684 100000\n28849 43110\n81447 100000\n76548 100000\n35900 53664\n22989 34368\n3604 5418\n43657 65331\n77034 100000\n65794 98693\n11017 16520\n42261 63233\n56618 84877\n43613 65266\n68037 100000\n1153 1764\n28685 42859\n92661 100000\n66512 99793\n53642 80411\n55229 82802\n65309 97958\n39363 58916\n90626 100000\n88154 100000\n41858 62624\n91405 100000\n34499 51576\n34227 51160\n26446 39530\n89136 100000\n7007 10482\n10425 15642\n76009 100000\n63673 95506\n98071 100000\n28834 43085\n18378 27501\n65732 98600\n57876 86803\n79496 100000\n86817 100000\n36761 54950\n5359 8042\n62004 93019\n87563 100000\n18959 28358\n38899 58205\n67765 100000\n3715 5589\n13207 19790\n66179 99284\n24620 36801\n61240 91875\n1223 1861\n68310 100000\n48310 72346\n74149 100000\n33986 50792\n20658 30892\n70140 100000\n52309 78405\n98810 100000\n21371 31945\n3669 5513\n62329 93518\n94495 100000\n99506 100000\n51523 77201\n19298 28855\n12992 19473\n9227 13851\n12522 18774\n63101 94652\n23507 35160\n84799 100000\n51231 76755\n1459 2209\n34045 50883\n88834 100000\n43124 64525\n70752 100000\n41031 61414\n92618 100000\n30816 46072\n38554 57685\n30949 46267\n27661 41329\n32610 48758\n2326 3510\n20674 30916\n96778 100000\n58205 87296\n96614 100000\n94021 100000\n90825 100000\n66384 99592\n45546 68169\n39686 59400\n70049 100000\n91004 100000\n51085 76537\n95236 100000\n11996 17992\n60464 90704\n73936 100000\n11428 17133\n39266 58774\n23924 35780\n30604 45742\n70469 100000\n9607 14400\n21354 31921\n56063 84044\n61230 91857\n54822 82191\n63139 94707\n91608 100000\n56544 84768\n61749 92631\n95494 100000\n35742 53433\n68264 100000\n71098 100000\n71964 100000\n45560 68193\n96683 100000\n43074 64444\n92181 100000\n80994 100000\n29533 44116\n40 55\n92806 100000\n6083 9109\n80068 100000\n39984 59840\n78472 100000\n77356 100000\n4042 6089\n7960 11920\n61481 92229\n21166 31646\n30356 45373\n31488 47081\n88495 100000\n71676 100000\n87008 100000\n5294 7945\n65196 97790\n3977 5993\n38821 58088\n45700 68403\n81880 100000\n4807 7231\n81977 100000\n32458 48530\n99004 100000\n21804 32600\n31508 47114\n25357 37884\n32715 48913\n64806 97197\n42463 63536\n21996 32877\n67840 100000\n38483 57575\n30983 46322\n53255 79808\n5639 8452\n30088 44968\n59031 88522\n37799 56526\n9124 13690\n70440 100000\n65738 98610\n75236 100000\n34866 52122\n78493 100000\n17496 26177\n95696 100000\n70985 100000\n33286 49760\n38502 57603\n76772 100000\n84107 100000\n79113 100000\n85465 100000\n57383 86043\n52097 78079\n20109 30071\n64561 96830\n63280 94921\n84410 100000\n35731 53417\n94668 100000\n5370 8057\n47631 71325\n33618 50250\n36544 54644\n72779 100000\n59212 88798\n10908 16357\n7425 11113\n23895 35734\n48003 71892\n49978 74869\n38199 57140\n53614 80365\n97148 100000\n32657 48829\n46602 69774\n38298 57294\n32064 47947\n69760 100000\n26598 39757\n59607 89406\n39884 59697\n95754 100000\n99387 100000\n15899 23805\n82414 100000\n73096 100000\n15761 23602\n72578 100000\n71159 100000\n28791 43016\n40358 60397\n10483 15727\n55061 82557\n10581 15877\n78504 100000\n82877 100000\n59041 88536\n86868 100000\n66619 99959\n99936 100000\n36332 54323\n68688 100000\n75804 100000\n6951 10393\n25715 38417\n78975 100000\n42992 64322\n18934 28322\n22763 34039\n84214 100000\n66732 100000\n36328 54316\n75179 100000\n46019 68890\n21284 31816\n6337 9487\n55242 82822\n43181 64609\n93093 100000\n99412 100000\n34748 51955\n86320 100000\n89446 100000\n1818 2734\n55228 82801\n6412 9597\n81484 100000\n85137 100000\n48682 72906\n98373 100000\n20552 30740\n89791 100000\n616 937\n24576 36731\n94670 100000\n55903 83803\n51804 77639\n9923 14885\n68521 100000\n45154 67573\n73789 100000\n91529 100000\n69279 100000\n24616 36796\n16103 24114\n46762 70014\n51908 77789\n23242 34755\n94672 100000\n11782 17668\n61253 91897\n82599 100000\n69714 100000\n899 1371\n72633 100000\n1327 2014\n17415 26058\n84590 100000\n48233 72233\n27470 41040\n2831 4268\n79116 100000\n53280 79843\n54908 82321\n83053 100000\n32138 48060\n77942 100000\n59861 89783\n80567 100000\n93364 100000\n63310 94967\n75724 100000\n46483 69597\n59468 89193\n43500 65086\n5018 7539\n67282 100000\n66123 99196\n78182 100000\n93678 100000\n1020 1559\n99481 100000\n79167 100000\n58959 88420\n24105 36052\n99103 100000\n24691 36898\n67150 100000\n55567 83300\n22784 34069\n82519 100000\n32090 47987\n1987 2988\n93830 100000\n17120 25610\n54166 81200\n47542 71198\n72129 100000\n66199 99318\n6774 10135\n83885 100000\n53146 79652\n88099 100000\n98565 100000\n80890 100000\n97268 100000\n39559 59208\n13515 20252\n87418 100000\n91179 100000\n30061 44928\n17891 26770\n90024 100000\n6483 9688\n80490 100000\n74945 100000\n43712 65410\n61302 91970\n37563 56162\n73019 100000\n97068 100000\n17940 26850\n61543 92325\n9320 13985\n49767 74563\n47867 71687\n39223 58705\n50612 75830\n39994 59854\n52504 78694\n76672 100000\n76025 100000\n76314 100000\n91517 100000\n12331 18496\n92028 100000\n75962 100000\n18835 28174\n21151 31622\n45558 68189\n57090 85591\n67386 100000\n69659 100000\n23739 35496\n47203 70676\n74084 100000\n62826 94242\n81651 100000\n73331 100000\n62897 94354\n82000 100000\n39416 58991\n91987 100000\n10193 15291\n31495 47092\n43609 65260\n81544 100000\n73913 100000\n25791 38530\n11007 16507\n23932 35794\n49570 74268\n99753 100000\n62418 93638\n96947 100000\n73512 100000\n92565 100000\n57096 85601\n90950 100000\n24757 36997\n75407 100000\n37341 55836\n81583 100000\n46971 70323\n76741 100000\n1722 2600\n61178 91776\n56552 84779\n63964 95941\n64744 97108\n8236 12329\n8037 12033\n84634 100000\n50061 74994\n33237 49690\n53370 79990\n59382 89054\n67680 100000\n62929 94400\n7493 11225\n65024 97523\n57707 86543\n75841 100000\n47838 71641\n17987 26922\n25017 37371\n45093 67481\n10930 16392\n36354 54358\n65099 97636\n15495 23200\n56479 84671\n78841 100000\n3441 5181\n77594 100000\n93781 100000\n22507 33642\n96304 100000\n75436 100000\n61268 91920\n91102 100000\n68876 100000\n84896 100000\n40158 60100\n20528 30706\n58230 87335\n41036 61421\n26418 39490\n12149 18223\n19535 29201\n39291 58809\n91634 100000\n52258 78322\n14995 22446\n83173 100000\n90805 100000\n22988 34366\n43240 64701\n15876 23772\n82878 100000\n65365 98042\n52898 79277\n46126 69046\n37354 55855\n34392 51404\n83225 100000\n8913 13358\n99919 100000\n41241 61729\n81069 100000\n23421 35020\n88933 100000\n54177 81218\n15355 22988\n21374 31950\n73970 100000\n6008 8996\n22016 32907\n45382 67921\n85492 100000\n34317 51294\n40669 60867\n49652 74386\n50509 75678\n20001 29902\n76409 100000\n49752 74540\n96542 100000\n90064 100000\n33586 50204\n46039 68920\n37551 56143\n40684 60887\n50686 75933\n70965 100000\n59322 88962\n53802 80645\n41019 61397\n67225 100000\n84561 100000\n10602 15908\n86558 100000\n71846 100000\n60759 91143\n35970 53768\n6001 8984\n50798 76097\n3688 5546\n35301 52773\n81115 100000\n205 311\n25560 38184\n98170 100000\n15994 23951\n37059 55414\n48528 72671\n47470 71087\n61725 92592\n82774 100000\n16867 25229\n31404 46954\n13780 20638\n21917 32763\n91526 100000\n78446 100000\n78298 100000\n12746 19109\n36392 54420\n46921 70252\n77637 100000\n25631 38285\n81867 100000\n33742 50429\n84737 100000\n14606 21868\n90354 100000\n2697 4065\n5492 8233\n92223 100000\n17568 26279\n41214 61688\n37561 56158\n34080 50937\n46653 69853\n10687 16034\n90985 100000\n6162 9223\n58049 87064\n71835 100000\n5823 8717\n35112 52491\n15782 23634\n58196 87280\n48593 72776\n12911 19356\n39133 58558\n21507 32155\n65214 97816\n95229 100000\n69765 100000\n18538 27734\n12587 18872\n22986 34364\n37444 55988\n15260 22848\n4286 6443\n58026 87031\n9812 14720\n11212 16810\n99105 100000\n68819 100000\n94583 100000\n25 36\n5057 7593\n9792 14689\n8424 12606\n36125 54013\n45638 68306\n93002 100000\n3003 4526\n26273 39275\n99596 100000\n36715 54882\n86673 100000\n54590 81829\n77926 100000\n99659 100000\n78460 100000\n62132 93223\n77713 100000\n80357 100000\n464 701\n17442 26095\n59958 89936\n93123 100000\n11089 16626\n78246 100000\n96157 100000\n71460 100000\n28859 43124\n5566 8347\n21155 31629\n87878 100000\n27405 40947\n1166 1783\n29956 44774\n41183 61643\n28254 42225\n82702 100000\n68461 100000\n39441 59031\n95829 100000\n63922 95872\n2368 3574\n62088 93152\n35621 53249\n44581 66721\n39751 59497\n66285 99446\n18751 28049\n31078 46472\n83264 100000\n93739 100000\n23183 34665\n27292 40778\n37962 56771\n57446 86145\n88911 100000\n85658 100000\n84570 100000\n1392 2110\n84505 100000\n70360 100000\n71516 100000\n95704 100000\n57829 86736\n23459 35087\n52263 78331\n38023 56866\n89150 100000\n10019 15029\n74091 100000\n50568 75767\n87358 100000\n75805 100000\n65452 98176\n6909 10332\n31201 46647\n90973 100000\n74089 100000\n82323 100000\n4826 7260\n63335 95007\n49232 73749\n89478 100000\n90437 100000\n72989 100000\n39138 58565\n11340 17000\n64041 96053\n34867 52123\n13732 20564\n39900 59720\n82553 100000\n54263 81343\n71026 100000\n93542 100000\n93448 100000\n21720 32472\n27429 40981\n29396 43909\n911 1388\n11536 17297\n52717 79017\n46419 69495\n46540 69682\n75501 100000\n39905 59729\n59224 88815\n77495 100000\n88921 100000\n64631 96940\n12565 18836\n82568 100000\n44825 67074\n79088 100000\n3791 5702\n48673 72893\n4995 7507\n49718 74489\n64688 97021\n27232 40686\n69724 100000\n13416 20104\n39150 58583\n10682 16026\n97333 100000\n24873 37167\n7137 10674\n64261 96382\n46381 69435\n97263 100000\n60623 90937\n88008 100000\n30922 46228\n55332 82953\n67126 100000\n19227 28748\n386 582\n27308 40803\n59400 89084\n79879 100000\n45651 68326\n70078 100000\n53080 79552\n14753 22083\n45056 67424\n85976 100000\n47185 70648\n54944 82375\n37180 55596\n88182 100000\n57696 86526\n40046 59932\n53056 79515\n18241 27295\n87974 100000\n67761 100000\n3032 4568\n93072 100000\n6797 10165\n64891 97325\n59321 88960\n13948 20888\n76904 100000\n39817 59597\n75324 100000\n40617 60791\n44093 65987\n64072 96098\n80779 100000\n76426 100000\n72148 100000\n82852 100000\n77608 100000\n30314 45311\n73643 100000\n30855 46128\n4343 6527\n84266 100000\n85441 100000\n30633 45788\n54974 82423\n28753 42959\n83940 100000\n35763 53463\n18910 28286\n13168 19732\n48437 72530\n64997 97481\n88769 100000\n4966 7459\n5254 7890\n99259 100000\n5621 8426\n59079 88593\n11335 16993\n54289 81377\n71409 100000\n47807 71595\n27537 41142\n93902 100000\n46315 69332\n74792 100000\n12920 19368\n7584 11357\n44765 66989\n10841 16255\n7341 10989\n89706 100000\n31863 47641\n37846 56599\n90851 100000\n44115 66023\n20211 30221\n83776 100000\n4532 6815\n49812 74627\n68712 100000\n7188 10756\n31788 47533\n99632 100000\n24063 35993\n29147 43546\n44398 66447\n48439 72533\n58834 88235\n69210 100000\n32243 48218\n58744 88106\n45325 67839\n49361 73948\n46449 69545\n67496 100000\n48803 73084\n1078 1648\n58088 87124\n74710 100000\n81810 100000\n41234 61717\n48874 73190\n86915 100000\n62701 94052\n75677 100000\n11803 17698\n64479 96698\n98260 100000\n15661 23457\n22218 33202\n50103 75059\n79948 100000\n31610 47269\n67886 100000\n55912 83817\n19257 28796\n46519 69653\n7439 11134\n19068 28509\n30827 46089\n97781 100000\n21262 31785\n35703 53377\n26874 40157\n13663 20466\n32258 48240\n63469 95202\n51439 77076\n87916 100000\n92817 100000\n43554 65169\n73523 100000\n92616 100000\n84650 100000\n86995 100000\n63078 94616\n62740 94110\n57066 85555\n98493 100000\n33954 50742\n90709 100000\n96400 100000\n14074 21074\n29337 43823\n93997 100000\n3780 5682\n40138 60068\n22583 33761\n82388 100000\n66314 99489\n88542 100000\n34979 52288\n3240 4887\n67127 100000\n51084 76536\n11609 17404\n75874 100000\n23861 35683\n29134 43527\n75664 100000\n53786 80622\n62714 94069\n64270 96394\n58411 87619\n70523 100000\n86365 100000\n22024 32919\n70225 100000\n70235 100000\n75421 100000\n64915 97362\n37642 56284\n4607 6927\n42736 63948\n24281 36308\n4774 7181\n99474 100000\n92348 100000\n6019 9014\n36932 55215\n10817 16225\n58783 88164\n56564 84795\n95227 100000\n29512 44082\n26258 39252\n88283 100000\n30142 45045\n52431 78582\n26202 39163\n9583 14366\n7512 11255\n94641 100000\n98194 100000\n87297 100000\n95006 100000\n25316 37822\n87794 100000\n85765 100000\n32964 49284\n86089 100000\n74000 100000\n7744 11592\n41039 61425\n6889 10303\n70047 100000\n39578 59237\n28336 42346\n6569 9817\n11962 17940\n3577 5379\n48922 73266\n39063 58458\n16895 25272\n70632 100000\n60216 90325\n50618 75836\n14658 21940\n16438 24598\n35024 52358\n18673 27932\n46872 70180\n18348 27453\n75735 100000\n52671 78945\n76089 100000\n4443 6676\n16180 24226\n67414 100000\n36858 55104\n40333 60358\n60680 91021\n29528 44109\n46922 70254\n61119 91676\n11199 16792\n96889 100000\n58539 87805\n22898 34237\n71969 100000\n15460 23147\n37882 56656\n51455 77099\n20756 31033\n99392 100000\n35776 53482\n8238 12332\n68179 100000\n48635 72836\n22694 33930\n21432 32040\n2148 3239\n67022 100000\n83765 100000\n34111 50984\n16795 25119\n7438 11133\n80338 100000\n80223 100000\n79137 100000\n94358 100000\n51886 77759\n21708 32456\n87962 100000\n44831 67083\n93528 100000\n45299 67799\n81775 100000\n91700 100000\n82056 100000\n98281 100000\n56438 84610\n87254 100000\n39311 58839\n88561 100000\n54818 82185\n37613 56240\n10288 15442\n66277 99434\n34936 52231\n1974 2969\n74610 100000\n723 1099\n2958 4455\n9900 14847\n32365 48397\n85344 100000\n43258 64723\n11180 16757\n2061 3105\n14452 21649\n13266 19878\n34007 50824\n72027 100000\n65574 98357\n71059 100000\n31290 46783\n21203 31703\n56088 84080\n91143 100000\n34875 52135\n74522 100000\n99309 100000\n20107 30067\n91227 100000\n60787 91182\n9345 14022\n93802 100000\n631 960\n28844 43102\n19608 29314\n50095 75047\n82373 100000\n49793 74603\n75171 100000\n49705 74469\n69428 100000\n89838 100000\n81745 100000\n5020 7543\n49894 74751\n10276 15422\n66935 100000\n93870 100000\n29567 44166\n68053 100000\n52726 79030\n5942 8891\n93032 100000\n74503 100000\n62596 93901\n80269 100000\n4731 7117\n64165 96237\n64682 97012\n99021 100000\n10784 16178\n87166 100000\n6011 9002\n91213 100000\n82899 100000\n97990 100000\n14883 22285\n65585 98373\n98600 100000\n97938 100000\n89281 100000\n35455 53003\n8979 13466\n60025 90039\n73959 100000\n22648 33863\n40554 60696\n19307 28868\n294 442\n93807 100000\n30412 45458\n70124 100000\n47840 71644\n14731 22056\n36781 54981\n111 170\n70989 100000\n74192 100000\n10362 15545\n67692 100000\n43156 64570\n78789 100000\n92868 100000\n78787 100000\n15675 23479\n95994 100000\n84661 100000\n32176 48117\n66620 99961\n62660 93989\n81773 100000\n70291 100000\n2928 4409\n25339 37855\n52388 78521\n55745 83574\n16722 25016\n22234 33224\n90672 100000\n56601 84852\n96728 100000\n35618 53243\n48014 71906\n19112 28578\n39655 59352\n76087 100000\n17697 26472\n42957 64273\n55940 83862\n15689 23499\n69365 100000\n71705 100000\n25230 37691\n36864 55113\n69696 100000\n30863 46139\n14403 21571\n26363 39409\n47249 70746\n13399 20079\n23471 35104\n15663 23460\n61245 91883\n95967 100000\n54778 82123\n30190 45122\n40151 60089\n55113 82636\n54438 81605\n85860 100000\n92985 100000\n87417 100000\n56511 84719\n13908 20827\n24473 36579\n20012 29918\n98227 100000\n16800 25127\n63765 95640\n25692 38381\n98549 100000\n43202 64640\n13275 19892\n55427 83089\n95844 100000\n15990 23943\n60909 91366\n43561 65180\n86790 100000\n69898 100000\n17148 25652\n34638 51788\n60224 90338\n16287 24383\n4577 6881\n90877 100000\n19853 29679\n5006 7523\n77960 100000\n21571 32252\n65438 98154\n9845 14771\n98891 100000\n4397 6608\n96330 100000\n49601 74318\n19104 28567\n26926 40239\n2065 3111\n88151 100000\n35335 52824\n71798 100000\n9749 14626\n44403 66453\n27905 41695\n78006 100000\n42612 63754\n12009 18011\n54842 82218\n74925 100000\n42680 63860\n66374 99575\n44749 66965\n66798 100000\n65456 98184\n11408 17104\n67439 100000\n78920 100000\n93770 100000\n16757 25064\n32549 48670\n405 609\n86504 100000\n50780 76067\n11258 16880\n55253 82839\n98082 100000\n77762 100000\n69565 100000\n10661 15995\n65451 98175\n12439 18654\n11070 16597\n54626 81889\n92435 100000\n20339 30416\n12307 18461\n14025 21006\n51816 77658\n45972 68818\n67708 100000\n38355 57376\n26797 40041\n38528 57645\n26364 39410\n40482 60587\n19245 28776\n48636 72837\n17908 26797\n49720 74492\n91985 100000\n22861 34180\n82393 100000\n73458 100000\n61823 92742\n36842 55081\n66878 100000\n80740 100000\n97987 100000\n51599 77317\n41830 62581\n29495 44057\n7141 10681\n66110 99175\n40198 60162\n34576 51697\n37264 55722\n26180 39129\n8692 13021\n2384 3598\n3800 5715\n24178 36157\n16101 24110\n17222 25770\n33242 49698\n83244 100000\n48129 72079\n24241 36251\n4438 6669\n86400 100000\n56895 85291\n25471 38057\n81552 100000\n40478 60581\n96500 100000\n88201 100000\n20774 31062\n62208 93337\n59682 89515\n13263 19872\n73264 100000\n6394 9570\n4623 6953\n95324 100000\n66185 99295\n30749 45974\n51758 77560\n34226 51159\n23178 34655\n96313 100000\n13729 20559\n10468 15702\n90139 100000\n98674 100000\n63955 95925\n48474 72585\n41814 62560\n94014 100000\n55957 83887\n32812 49062\n43364 64879\n11231 16837\n61493 92250\n48544 72695\n46029 68906\n50318 75387\n49164 73640\n21498 32139\n5001 7517\n92154 100000\n73852 100000\n25481 38072\n60712 91069\n79287 100000\n6507 9726\n49713 74482\n19498 29149\n88065 100000\n74016 100000\n86668 100000\n81605 100000\n7384 11054\n56185 84229\n16505 24691\n38467 57553\n81905 100000\n84319 100000\n73291 100000\n19928 29788\n56448 84624\n48300 72332\n2886 4350\n34950 52249\n92763 100000\n97351 100000\n71182 100000\n30030 44884\n59838 89747\n62323 93509\n89964 100000\n9700 14549\n41164 61612\n75294 100000\n1063 1626\n53064 79526\n66242 99375\n36890 55155\n73231 100000\n61266 91916\n6594 9859\n3724 5600\n41407 61974\n21560 32235\n7999 11975\n67352 100000\n85317 100000\n77657 100000\n81105 100000\n91352 100000\n94410 100000\n28638 42781\n72371 100000\n90681 100000\n6905 10325\n52567 78796\n61107 91658\n94177 100000\n93373 100000\n69510 100000\n79644 100000\n10334 15505\n82993 100000\n10232 15355\n47108 70531\n97125 100000\n16755 25062\n98863 100000\n59266 88873\n96670 100000\n19411 29028\n73695 100000\n14120 21147\n10958 16434\n32025 47892\n15526 23247\n40686 60891\n41251 61743\n6931 10366\n7694 11518\n83252 100000\n90358 100000\n52420 78566\n13033 19534\n76136 100000\n83855 100000\n65939 98910\n83272 100000\n7449 11149\n71401 100000\n85401 100000\n27529 41130\n61452 92186\n32881 49158\n62898 94356\n13096 19627\n44499 66597\n27236 40692\n36361 54369\n55440 83110\n95833 100000\n8558 12810\n75820 100000\n8652 12958\n27210 40655\n3292 4959\n47531 71184\n26134 39056\n15532 23256\n47771 71544\n10169 15255\n35647 53290\n21312 31856\n85742 100000\n5919 8860\n23642 35349\n73777 100000\n18891 28260\n29196 43619\n88030 100000\n32699 48889\n91566 100000\n36442 54492\n2158 3251\n57546 86298\n80777 100000\n62699 94049\n12109 18169\n84484 100000\n27520 41117\n54180 81223\n38193 57131\n91652 100000\n22074 32996\n15640 23422\n88245 100000\n22955 34319\n4597 6911\n29048 43403\n39148 58580\n67547 100000\n84269 100000\n27239 40696\n66591 99917\n93017 100000\n12217 18327\n40385 60441\n45818 68581\n73399 100000\n23822 35627\n86061 100000\n23632 35336\n1700 2568\n74364 100000\n71100 100000\n94322 100000\n99660 100000\n57078 85572\n19538 29205\n97926 100000\n29034 43385\n56245 84307\n365 547\n43976 65813\n57265 85870\n64001 95994\n42009 62845\n42801 64039\n41898 62683\n71321 100000\n98766 100000\n95369 100000\n60003 90006\n99930 100000\n39530 59160\n69393 100000\n66441 99683\n12582 18866\n29058 43418\n10052 15081\n47545 71204\n52021 77962\n44839 67094\n96193 100000\n53010 79446\n30663 45833\n70185 100000\n72481 100000\n74706 100000\n44584 66726\n56196 84244\n93898 100000\n31656 47346\n75627 100000\n87886 100000\n32163 48096\n63036 94555\n31357 46883\n84222 100000\n5038 7569\n74607 100000\n7109 10632\n53612 80362\n55705 83510\n58965 88430\n32886 49166\n91790 100000\n9384 14074\n68601 100000\n90609 100000\n54507 81707\n69285 100000\n77503 100000\n16612 24850\n95303 100000\n41618 62276\n24569 36720\n63066 94599\n80903 100000\n93353 100000\n47834 71636\n27911 41705\n32223 48190\n528 803\n63508 95252\n90728 100000\n20999 31393\n54101 81100\n68413 100000\n31890 47685\n84307 100000\n4650 6992\n66714 100000\n4293 6453\n38871 58161\n728 1108\n14636 21909\n22969 34337\n38490 57585\n45150 67567\n14047 21037\n1218 1854\n75917 100000\n59694 89531\n51766 77572\n64134 96192\n58191 87271\n70925 100000\n61937 92920\n6694 10016\n38929 58253\n73888 100000\n20330 30403\n8427 12611\n25918 38726\n2908 4383\n31715 47433\n56611 84868\n18881 28244\n70115 100000\n84698 100000\n14057 21051\n17252 25813\n6302 9431\n2105 3174\n2762 4164\n77411 100000\n89350 100000\n70184 100000\n11074 16603\n70555 100000\n19396 29004\n59862 89785\n49545 74229\n5364 8049\n50305 75368\n22971 34340\n79077 100000\n23648 35358\n60421 90632\n69550 100000\n34362 51360\n78665 100000\n10709 16068\n79174 100000\n69789 100000\n88336 100000\n16064 24057\n3457 5206\n31172 46607\n58323 87479\n54506 81706\n31730 47451\n52315 78411\n95407 100000\n2216 3343\n29933 44739\n9666 14495\n50842 76164\n43425 64974\n48489 72610\n70643 100000\n68971 100000\n4326 6502\n98866 100000\n38369 57397\n88375 100000\n62499 93755\n89587 100000\n62681 94024\n11410 17107\n58314 87465\n81831 100000\n97507 100000\n77964 100000\n92174 100000\n44073 65957\n34534 51632\n88120 100000\n43053 64409\n50979 76376\n80009 100000\n66122 99195\n62900 94358\n8060 12067\n85894 100000\n93522 100000\n9787 14682\n3546 5337\n18585 27802\n37644 56287\n46752 69999\n73626 100000\n77772 100000\n30683 45865\n95165 100000\n62988 94485\n88197 100000\n50664 75902\n2646 3988\n83280 100000\n38694 57902\n46213 69180\n47201 70672\n76603 100000\n95507 100000\n93721 100000\n91295 100000\n80546 100000\n19777 29564\n66063 99106\n79755 100000\n37300 55773\n79929 100000\n50096 75048\n82984 100000\n21333 31891\n15057 22543\n65881 98823\n62834 94254\n8650 12955\n76331 100000\n50656 75890\n9543 14308\n39903 59725\n20588 30792\n63160 94737\n47954 71816\n68570 100000\n58899 88333\n41372 61926\n78029 100000\n33489 50060\n73951 100000\n4183 6297\n47611 71298\n98383 100000\n46075 68974\n25515 38119\n55374 83013\n24787 37041\n10622 15936\n11969 17951\n7805 11683\n53156 79666\n4309 6476\n2108 3180\n10455 15683\n59213 88799\n74748 100000\n22758 34031\n43449 65011\n68214 100000\n87565 100000\n96675 100000\n40739 60969\n12978 19456\n23752 35516\n83905 100000\n29175 43590\n79155 100000\n11644 17459\n18214 27254\n52289 78376\n67670 100000\n38221 57175\n65629 98446\n16067 24062\n633 964\n80674 100000\n84642 100000\n924 1409\n68922 100000\n15836 23707\n34406 51427\n30948 46266\n91112 100000\n58679 88011\n59580 89361\n16583 24808\n90097 100000\n98079 100000\n80139 100000\n9154 13733\n37390 55906\n90349 100000\n2648 3990\n9660 14485\n60862 91295\n34978 52286\n74951 100000\n5711 8556\n21972 32841\n75647 100000\n52457 78623\n86764 100000\n13261 19869\n74847 100000\n42959 64276\n83450 100000\n56026 83986\n73918 100000\n5760 8627\n77481 100000\n7350 11003\n79671 100000\n16337 24456\n1905 2868\n78348 100000\n75791 100000\n45618 68278\n79857 100000\n89579 100000\n43532 65134\n4911 7380\n65684 98526\n88487 100000\n18832 28169\n2548 3840\n71726 100000\n93406 100000\n72211 100000\n99587 100000\n92745 100000\n35739 53429\n75397 100000\n38140 57049\n45681 68373\n56184 84227\n79126 100000\n62350 93549\n25338 37853\n1721 2598\n13164 19725\n61589 92390\n3123 4710\n11987 17978\n38251 57221\n79533 100000\n53859 80728\n29426 43954\n31091 46490\n87318 100000\n69994 100000\n40708 60922\n59273 88885\n5316 7976\n75703 100000\n60038 90059\n59863 89786\n68224 100000\n92709 100000\n67751 100000\n4628 6959\n43483 65060\n77141 100000\n85073 100000\n75510 100000\n4394 6603\n88178 100000\n52938 79338\n22523 33667\n45280 67770\n86247 100000\n66805 100000\n576 875\n39818 59599\n4415 6636\n36019 53844\n18853 28199\n72680 100000\n13408 20092\n13746 20585\n42643 63806\n92876 100000\n23091 34528\n77451 100000\n37386 55901\n29936 44744\n96685 100000\n47712 71450\n68655 100000\n24123 36075\n1666 2522\n51004 76412\n36794 55001\n7718 11554\n51813 77655\n18964 28365\n28063 41933\n28070 41942\n39222 58704\n14924 22347\n37106 55486\n24805 37068\n71867 100000\n62364 93570\n45085 67469\n35357 52859\n74941 100000\n88483 100000\n75183 100000\n52711 79008\n6492 9702\n92802 100000\n90447 100000\n21827 32635\n84197 100000\n97438 100000\n8234 12326\n30197 45133\n84706 100000\n34592 51719\n55857 83733\n72587 100000\n53093 79572\n37314 55793\n84227 100000\n21905 32744\n80172 100000\n9230 13855\n22918 34264\n23542 35206\n73250 100000\n38769 58011\n74307 100000\n69196 100000\n66021 99036\n33576 50191\n61383 92090\n29446 43983\n3535 5321\n39051 58437\n47757 71522\n58602 87897\n20041 29963\n23574 35250\n90453 100000\n84134 100000\n26311 39332\n80398 100000\n4030 6074\n3129 4720\n95492 100000\n50465 75611\n8640 12937\n59807 89704\n28449 42505\n50412 75527\n93472 100000\n24406 36482\n60210 90316\n82338 100000\n80348 100000\n55740 83567\n71037 100000\n16349 24470\n55699 83502\n47812 71605\n20296 30354\n36843 55082\n83994 100000\n53939 80851\n11988 17979\n18205 27240\n80714 100000\n62284 93451\n35591 53205\n83009 100000\n74563 100000\n75909 100000\n23069 34494\n48013 71905\n44363 66394\n83370 100000\n69226 100000\n85180 100000\n40877 61177\n39529 59159\n6747 10093\n45506 68110\n79204 100000\n9425 14137\n80680 100000\n17112 25596\n90520 100000\n78171 100000\n8790 13174\n43683 65368\n8740 13096\n37455 56004\n4033 6078\n19456 29095\n9686 14527\n61694 92549\n46615 69794\n27323 40826\n35037 52378\n46067 68960\n67577 100000\n79011 100000\n44123 66035\n12033 18052\n6676 9985\n22692 33926\n77031 100000\n16160 24196\n49320 73883\n25414 37978\n87955 100000\n26309 39329\n52491 78674\n64447 96646\n65202 97797\n89285 100000\n64964 97430\n45826 68594\n75193 100000\n7834 11725\n95706 100000\n12603 18896\n93013 100000\n26176 39121\n57751 86618\n41640 62312\n36144 54040\n86795 100000\n44841 67097\n14402 21569\n62896 94352\n87808 100000\n9512 14266\n74443 100000\n66532 99827\n18652 27899\n95327 100000\n90243 100000\n57452 86155\n48235 72237\n20979 31361\n84758 100000\n99499 100000\n17599 26327\n56175 84215\n75187 100000\n14061 21056\n62386 93600\n70572 100000\n77026 100000\n69255 100000\n25262 37743\n72598 100000\n62594 93898\n93782 100000\n42435 63497\n81942 100000\n50661 75898\n88433 100000\n9594 14381\n72379 100000\n89479 100000\n63768 95644\n12383 18573\n84817 100000\n15935 23860\n63954 95924\n31859 47635\n22003 32888\n22025 32920\n41862 62631\n80665 100000\n69157 100000\n35503 53075\n99335 100000\n58028 87033\n57159 85704\n43524 65125\n71501 100000\n44440 66504\n61505 92269\n30201 45141\n6380 9552\n12342 18513\n846 1285\n42941 64252\n40194 60156\n18440 27594\n18226 27272\n37593 56209\n26577 39725\n27030 40394\n37526 56111\n31746 47473\n4315 6484\n15322 22940\n28433 42480\n15667 23466\n44058 65935\n58979 88448\n21398 31986\n32073 47961\n54085 81080\n24592 36756\n73715 100000\n99595 100000\n75204 100000\n73108 100000\n17056 25513\n58798 88185\n13091 19620\n78802 100000\n65550 98325\n58665 87990\n19034 28458\n5746 8608\n99508 100000\n68580 100000\n66787 100000\n54322 81427\n90475 100000\n94051 100000\n44451 66523\n98051 100000\n15003 22457\n5204 7817\n93879 100000\n5233 7859\n73098 100000\n55157 82701\n10875 16306\n91907 100000\n1200 1827\n49898 74757\n50233 75258\n78406 100000\n21715 32466\n46616 69796\n23309 34856\n19416 29036\n9849 14777\n92784 100000\n43948 65775\n56562 84793\n53130 79629\n29536 44122\n91365 100000\n36090 53958\n40258 60242\n3160 4762\n66367 99565\n14638 21911\n9253 13886\n94378 100000\n29547 44136\n52614 78861\n30911 46210\n54282 81368\n16112 24129\n36595 54714\n17211 25755\n70637 100000\n84653 100000\n1835 2762\n95286 100000\n18437 27588\n2946 4435\n47641 71343\n69561 100000\n81823 100000\n52800 79139\n22103 33036\n51405 77027\n29885 44667\n24516 36639\n78411 100000\n11246 16860\n19706 29463\n57530 86275\n11082 16616\n98212 100000\n64729 97085\n48591 72772\n16522 24723\n89179 100000\n2011 3026\n39800 59572\n41094 61507\n35095 52461\n55265 82856\n93750 100000\n25837 38601\n47012 70384\n17923 26823\n68745 100000\n90649 100000\n98941 100000\n80040 100000\n47507 71143\n36546 54646\n50168 75157\n3834 5770\n76068 100000\n95018 100000\n42518 63614\n27802 41541\n90946 100000\n31395 46942\n32304 48309\n20246 30279\n71200 100000\n44774 67004\n66686 100000\n15628 23406\n80550 100000\n6306 9438\n56537 84759\n54333 81446\n77189 100000\n68507 100000\n55924 83837\n66105 99168\n67930 100000\n53217 79753\n29628 44265\n56242 84304\n17884 26760\n64939 97396\n87447 100000\n23461 35091\n3899 5873\n1654 2507\n87628 100000\n24807 37071\n17157 25666\n55144 82681\n3619 5437\n86456 100000\n14492 21703\n99644 100000\n85203 100000\n15718 23541\n27701 41382\n54454 81631\n37361 55865\n32019 47881\n63471 95205\n67462 100000\n287 431\n95200 100000\n71068 100000\n33506 50080\n57886 86819\n961 1463\n92812 100000\n44021 65879\n2462 3716\n71238 100000\n71761 100000\n621 944\n60522 90789\n45873 68668\n72488 100000\n80971 100000\n4157 6261\n12817 19213\n79994 100000\n25832 38595\n52928 79323\n40476 60577\n7880 11796\n58182 87256\n39695 59413\n9955 14932\n85707 100000\n11182 16761\n69509 100000\n44916 67215\n87002 100000\n57801 86697\n29218 43654\n84146 100000\n56157 84186\n72915 100000\n70083 100000\n30069 44940\n61090 91632\n52210 78244\n85229 100000\n49417 74034\n93552 100000\n37625 56257\n43648 65318\n9362 14047\n43150 64560\n66039 99066\n66382 99589\n11052 16571\n45332 67849\n75933 100000\n84178 100000\n39772 59526\n3624 5444\n48295 72324\n55153 82694\n80479 100000\n11795 17689\n72570 100000\n89294 100000\n76578 100000\n29114 43498\n38992 58349\n52251 78313\n6079 9102\n41305 61823\n54698 81999\n85846 100000\n67610 100000\n61729 92598\n98318 100000\n27024 40383\n17352 25963\n61389 92098\n30549 45661\n56967 85400\n63873 95799\n90890 100000\n94274 100000\n75381 100000\n49740 74521\n21990 32868\n99950 100000\n62242 93389\n69040 100000\n70975 100000\n37173 55585\n97687 100000\n86654 100000\n26728 39942\n37925 56720\n31906 47709\n4372 6571\n97315 100000\n25489 38085\n7470 11187\n51431 77066\n4427 6651\n16354 24477\n95693 100000\n71614 100000\n6595 9861\n50471 75620\n73489 100000\n69345 100000\n20784 31076\n24235 36240\n72256 100000\n76015 100000\n44485 66573\n99117 100000\n20377 30473\n21462 32087\n88468 100000\n67929 100000\n73756 100000\n22871 34195\n20883 31215\n48194 72172\n69677 100000\n99314 100000\n14439 21628\n32524 48629\n41775 62501\n92829 100000\n67290 100000\n85022 100000\n39566 59219\n94084 100000\n43644 65313\n32839 49097\n86797 100000\n60983 91469\n36779 54977\n13531 20274\n53769 80599\n42780 64011\n8605 12880\n12815 19210\n7822 11708\n80006 100000\n52953 79364\n13451 20155\n13598 20372\n54439 81607\n37299 55771\n31069 46455\n69234 100000\n78589 100000\n7749 11598\n5004 7520\n63217 94824\n3265 4923\n235 356\n86063 100000\n60898 91350\n94032 100000\n40742 60973\n29927 44729\n69331 100000\n16771 25086\n59583 89367\n13498 20223\n85973 100000\n99654 100000\n63250 94874\n59206 88787\n71591 100000\n52287 78373\n72097 100000\n89358 100000\n37760 56466\n81772 100000\n62726 94090\n15762 23604\n6140 9194\n37812 56547\n40434 60513\n7520 11267\n81914 100000\n80331 100000\n87054 100000\n30699 45891\n65136 97694\n29379 43885\n38773 58016\n66324 99501\n13452 20156\n23840 35649\n22957 34321\n756 1153\n33609 50238\n18310 27396\n29404 43922\n19945 29815\n83516 100000\n3523 5304\n14143 21182\n95038 100000\n90026 100000\n46680 69895\n23156 34623\n94064 100000\n71744 100000\n53785 80621\n39215 58692\n17454 26112\n35561 53159\n93952 100000\n68424 100000\n48422 72509\n46943 70284\n51199 76704\n63286 94929\n5730 8585\n21612 32311\n68953 100000\n91481 100000\n49040 73446\n344 517\n12026 18041\n51745 77539\n90337 100000\n93009 100000\n74680 100000\n23897 35738\n74957 100000\n85250 100000\n47923 71772\n17428 26076\n1124 1719\n42674 63853\n48928 73276\n16687 24962\n85425 100000\n41746 62462\n99196 100000\n94211 100000\n49173 73654\n29191 43613\n30153 45063\n41172 61623\n37633 56269\n50394 75500\n45302 67802\n40471 60570\n76934 100000\n87543 100000\n46333 69361\n5578 8365\n93425 100000\n40237 60214\n89345 100000\n38533 57652\n73696 100000\n60985 91472\n28102 41991\n18790 28108\n59603 89399\n91600 100000\n57410 86088\n92279 100000\n47229 70712\n82292 100000\n25479 38068\n43039 64390\n95960 100000\n94042 100000\n19561 29244\n71473 100000\n37099 55476\n99374 100000\n66271 99424\n30888 46176\n36471 54533\n18474 27642\n54145 81168\n52486 78667\n30682 45863\n51653 77396\n999 1528\n48249 72258\n62890 94342\n48136 72092\n98276 100000\n69671 100000\n63488 95226\n27535 41139\n11937 17903\n57911 86860\n81226 100000\n92740 100000\n60389 90581\n62788 94182\n54384 81522\n21823 32630\n90290 100000\n8456 12658\n57260 85861\n18760 28063\n95253 100000\n72369 100000\n41944 62749\n36000 53815\n74629 100000\n88413 100000\n34253 51197\n98513 100000\n77789 100000\n23139 34598\n22595 33780\n4273 6426\n74102 100000\n29540 44129\n50810 76113\n62716 94072\n83350 100000\n85548 100000\n71885 100000\n94820 100000\n47034 70418\n83282 100000\n83654 100000\n97808 100000\n31263 46744\n2842 4286\n20864 31191\n63599 95391\n68991 100000\n74266 100000\n73565 100000\n64021 96023\n95192 100000\n33283 49756\n49951 74832\n21873 32697\n40423 60498\n12262 18391\n72730 100000\n5140 7714\n94662 100000\n42175 63104\n20453 30592\n17815 26646\n16262 24348\n77310 100000\n27856 41622\n89366 100000\n52108 78096\n43566 65188\n52001 77934\n22674 33901\n82508 100000\n19461 29103\n82939 100000\n66589 99914\n5511 8262\n79460 100000\n37141 55539\n22422 33510\n29072 43436\n21252 31771\n75092 100000\n17540 26240\n47932 71785\n78982 100000\n84939 100000\n79907 100000\n26827 40086\n22040 32941\n88706 100000\n31687 47396\n97891 100000\n8665 12979\n65618 98429\n94653 100000\n86129 100000\n95188 100000\n16485 24662\n22469 33585\n56137 84153\n99090 100000\n80834 100000\n85021 100000\n55473 83159\n85889 100000\n44020 65878\n49559 74252\n52550 78768\n65518 98275\n21548 32218\n63356 95040\n35873 53624\n20083 30031\n74532 100000\n30275 45253\n15852 23732\n13872 20774\n80194 100000\n47431 71033\n64412 96597\n1685 2546\n49881 74733\n94111 100000\n40884 61188\n26486 39593\n32562 48688\n67077 100000\n40716 60931\n84686 100000\n73391 100000\n98223 100000\n50208 75220\n4684 7044\n14878 22277\n9907 14859\n44988 67321\n64789 97170\n31222 46680\n475 717\n26403 39466\n17514 26203\n82341 100000\n55311 82920\n39524 59151\n32466 48541\n17266 25836\n29666 44328\n90875 100000\n42123 63020\n78526 100000\n76481 100000\n91018 100000\n81188 100000\n58785 88166\n82099 100000\n73390 100000\n52200 78228\n29886 44669\n47579 71256\n9015 13523\n43043 64396\n10132 15195\n51959 77870\n36304 54278\n43457 65021\n52792 79129\n72744 100000\n66910 100000\n77165 100000\n70953 100000\n83777 100000\n76887 100000\n4339 6521\n48243 72249\n33601 50228\n93145 100000\n55196 82756\n27458 41025\n77897 100000\n37411 55940\n32207 48168\n67117 100000\n73917 100000\n66495 99765\n11907 17856\n78252 100000\n47325 70861\n36780 54979\n60575 90866\n24897 37206\n54691 81990\n71030 100000\n7984 11955\n69660 100000\n18667 27921\n53492 80177\n3303 4972\n26718 39929\n53943 80857\n24935 37261\n16107 24122\n16507 24694\n3089 4659\n72079 100000\n3540 5329\n12723 19074\n34192 51105\n69043 100000\n59112 88644\n14849 22233\n25721 38426\n63305 94958\n48994 73376\n66919 100000\n61468 92207\n44888 67166\n63777 95658\n5750 8612\n83341 100000\n69524 100000\n34219 51149\n70923 100000\n84828 100000\n45345 67866\n9770 14660\n40630 60810\n80798 100000\n80126 100000\n91899 100000\n85837 100000\n78021 100000\n31612 47273\n25941 38758\n18901 28274\n51703 77473\n7887 11808\n45675 68364\n17787 26606\n66158 99250\n24228 36232\n23417 35014\n18046 27009\n201 305\n48319 72360\n57727 86579\n29934 44741\n1785 2685\n77137 100000\n24328 36375\n90444 100000\n88041 100000\n98981 100000\n95043 100000\n64719 97069\n75002 100000\n91361 100000\n58588 87875\n17662 26426\n20295 30353\n88887 100000\n74740 100000\n262 396\n45496 68095\n57561 86321\n47585 71264\n48986 73362\n18911 28287\n57988 86977\n42431 63491\n53340 79940\n11041 16555\n24102 36046\n27357 40872\n45518 68129\n37093 55467\n72829 100000\n86183 100000\n85496 100000\n61794 92698\n8367 12524\n7983 11954\n18106 27097\n49421 74040\n86081 100000\n65906 98858\n6712 10041\n93143 100000\n6246 9346\n98504 100000\n59859 89780\n7546 11303\n31143 46567\n22783 34067\n17090 25565\n79689 100000\n27312 40809\n85460 100000\n1492 2259\n90277 100000\n31894 47691\n17149 25654\n83961 100000\n3640 5469\n6677 9987\n46278 69280\n11832 17737\n36948 55239\n15216 22776\n98362 100000\n12667 18991\n48140 72097\n49896 74755\n4479 6732\n5318 7978\n70023 100000\n30317 45316\n8059 12066\n23501 35152\n11459 17185\n84342 100000\n57417 86098\n41152 61592\n13462 20173\n30731 45944\n61338 92027\n25213 37666\n33219 49664\n88272 100000\n19651 29381\n76118 100000\n21820 32625\n54258 81335\n33582 50198\n99774 100000\n58944 88399\n59376 89045\n22233 33222\n93703 100000\n44315 66320\n23223 34726\n37897 56679\n9752 14631\n80082 100000\n36860 55106\n30459 45533\n79925 100000\n36550 54652\n84552 100000\n61347 92042\n4408 6626\n91430 100000\n19166 28658\n73040 100000\n54286 81373\n55968 83902\n19676 29419\n19388 28989\n81193 100000\n83742 100000\n50023 74938\n38500 57600\n30771 46006\n61204 91816\n42823 64071\n90796 100000\n18979 28387\n13235 19831\n31830 47591\n77847 100000\n33571 50183\n21987 32862\n21157 31631\n6477 9681\n52164 78176\n18215 27256\n50950 76334\n46087 68990\n56046 84018\n518 786\n94779 100000\n36469 54531\n97914 100000\n75028 100000\n57776 86657\n40555 60698\n78545 100000\n11630 17435\n26524 39647\n63541 95303\n65640 98464\n92196 100000\n46611 69788\n87648 100000\n31674 47374\n93042 100000\n85829 100000\n30437 45498\n94578 100000\n72842 100000\n25890 38682\n33346 49848\n59953 89928\n7830 11720\n39076 58475\n6562 9806\n53482 80161\n26480 39584\n42456 63526\n54614 81870\n80956 100000\n50009 74919\n6508 9727\n10142 15213\n40322 60341\n65235 97850\n94807 100000\n93432 100000\n46824 70110\n33361 49869\n4216 6348\n11350 17015\n45 63\n3559 5355\n6578 9832\n299 450\n97932 100000\n32620 48774\n71955 100000\n5161 7750\n55497 83190\n29843 44599\n60772 91161\n64343 96505\n9665 14493\n62570 93862\n2348 3540\n51279 76827\n29904 44696\n80435 100000\n30657 45824\n74109 100000\n38422 57478\n15881 23778\n90252 100000\n40936 61267\n65114 97659\n92680 100000\n37995 56822\n98838 100000\n5807 8694\n19763 29546\n15156 22686\n98831 100000\n71290 100000\n75733 100000\n11035 16545\n77888 100000\n19884 29728\n61365 92066\n53950 80868\n39194 58656\n48002 71891\n98177 100000\n67273 100000\n70205 100000\n51581 77289\n10268 15411\n46485 69601\n71837 100000\n49078 73504\n66972 100000\n63959 95933\n16984 25404\n10031 15050\n94999 100000\n60598 90898\n36137 54030\n85855 100000\n51223 76741\n50147 75128\n50438 75566\n26789 40027\n85284 100000\n85525 100000\n35888 53647\n29387 43897\n89457 100000\n29335 43820\n32831 49086\n27490 41071\n57485 86201\n68404 100000\n46018 68889\n68924 100000\n9193 13795\n54395 81539\n46857 70161\n71190 100000\n82952 100000\n20287 30339\n90703 100000\n27332 40838\n9696 14543\n41133 61567\n22697 33935\n3255 4906\n49131 73589\n74627 100000\n29987 44819\n59932 89891\n2241 3380\n95045 100000\n3839 5777\n9894 14839\n71870 100000\n21008 31406\n67346 100000\n7877 11791\n57724 86573\n40714 60928\n4658 7004\n76905 100000\n70654 100000\n10905 16353\n41424 61996\n12080 18122\n6689 10007\n90544 100000\n93979 100000\n92101 100000\n31860 47636\n89482 100000\n36637 54774\n59303 88934\n58372 87557\n6056 9067\n13387 20062\n35296 52765\n68093 100000\n1593 2413\n81687 100000\n31911 47718\n60278 90421\n18278 27348\n89707 100000\n63283 94925\n66912 100000\n6554 9797\n99110 100000\n98922 100000\n72109 100000\n69507 100000\n11457 17181\n3957 5963\n62912 94376\n67777 100000\n31300 46801\n28259 42232\n97968 100000\n64657 96975\n21565 32241\n51295 76853\n44902 67190\n5137 7710\n286 430\n46748 69991\n67907 100000\n89884 100000\n97684 100000\n67361 100000\n87276 100000\n86139 100000\n17917 26812\n52259 78323\n9161 13745\n98763 100000\n90115 100000\n41139 61574\n15047 22525\n42154 63074\n12102 18159\n19094 28549\n31904 47706\n73345 100000\n86690 100000\n5276 7918\n85213 100000\n95575 100000\n83312 100000\n4027 6070\n72489 100000\n43992 65837\n20820 31127\n3894 5864\n79737 100000\n19897 29749\n26614 39780\n83342 100000\n3402 5122\n72956 100000\n27397 40935\n26597 39755\n78034 100000\n30263 45232\n68096 100000\n62905 94365\n49941 74818\n75727 100000\n54993 82455\n59710 89558\n74912 100000\n28642 42788\n81555 100000\n60089 90133\n73720 100000\n74588 100000\n91454 100000\n10161 15242\n61516 92285\n33225 49672\n37265 55723\n32086 47980\n79172 100000\n10188 15284\n55898 83795\n29862 44630\n20368 30459\n27500 41087\n7314 10948\n29316 43794\n51469 77119\n31918 47728\n12819 19216\n70271 100000\n48929 73277\n54076 81064\n5799 8682\n54981 82436\n15551 23285\n54861 82248\n29098 43476\n5259 7896\n68396 100000\n88794 100000\n9653 14474\n19822 29629\n41666 62349\n39652 59348\n744 1134\n61785 92683\n80744 100000\n9257 13892\n20119 30086\n66727 100000\n45834 68608\n31940 47757\n75100 100000\n75783 100000\n71426 100000\n72971 100000\n77102 100000\n55467 83150\n4441 6673\n96356 100000\n40114 60033\n46722 69956\n97560 100000\n41063 61459\n32827 49082\n19028 28448\n42109 63001\n70268 100000\n57514 86248\n94007 100000\n74690 100000\n82078 100000\n32637 48799\n85665 100000\n49863 74707\n62471 93713\n97824 100000\n62855 94286\n67951 100000\n16762 25071\n53980 80913\n90201 100000\n61327 92011\n80119 100000\n33280 49751\n5537 8299\n3117 4701\n24323 36368\n41147 61584\n18913 28289\n15370 23008\n37112 55495\n33516 50096\n39997 59859\n44418 66473\n91114 100000\n47426 71026\n62228 93367\n87815 100000\n5815 8705\n72138 100000\n58135 87192\n72420 100000\n65420 98128\n19925 29784\n71656 100000\n24875 37171\n74247 100000\n70263 100000\n18987 28398\n77943 100000\n6436 9627\n16031 24008\n19762 29545\n26881 40167\n46705 69931\n55284 82885\n82324 100000\n57283 85900\n91098 100000\n80751 100000\n61487 92240\n73359 100000\n65029 97532\n55937 83857\n27547 41157\n95103 100000\n35861 53607\n64909 97352\n28880 43156\n69409 100000\n7194 10766\n42059 62924\n41414 61983\n48292 72320\n51201 76708\n79318 100000\n42184 63117\n7701 11529\n94671 100000\n47628 71320\n69926 100000\n49057 73473\n47600 71283\n47105 70527\n75370 100000\n25364 37896\n82118 100000\n21211 31714\n97454 100000\n43907 65715\n41613 62269\n72572 100000\n31993 47838\n5010 7529\n97450 100000\n21298 31838\n57487 86204\n58333 87496\n10796 16195\n96725 100000\n38312 57313\n65072 97595\n90251 100000\n89652 100000\n24387 36457\n34568 51684\n61018 91522\n79688 100000\n87321 100000\n85348 100000\n66609 99945\n35542 53129\n99851 100000\n34608 51744\n31016 46372\n10532 15800\n5119 7686\n2024 3046\n59142 88691\n49122 73577\n15639 23421\n73747 100000\n33311 49797\n49772 74570\n41682 62374\n74019 100000\n53879 80761\n67883 100000\n39270 58781\n50348 75435\n97777 100000\n57301 85926\n35604 53225\n10597 15902\n85775 100000\n99768 100000\n41207 61677\n75630 100000\n90074 100000\n34842 52088\n77705 100000\n98594 100000\n14460 21662\n59157 88712\n71737 100000\n15659 23454\n7912 11846\n81292 100000\n43700 65392\n46509 69637\n37826 56571\n99238 100000\n29142 43537\n49658 74397\n6312 9448\n38163 57084\n66424 99660\n92365 100000\n42330 63341\n33488 50059\n87653 100000\n32147 48071\n61668 92506\n34393 51406\n49019 73411\n4519 6793\n82644 100000\n74939 100000\n21754 32527\n2962 4463\n24911 37224\n68817 100000\n97629 100000\n69134 100000\n52463 78631\n53500 80190\n49973 74862\n20686 30933\n92204 100000\n32452 48522\n52451 78613\n82498 100000\n3714 5587\n14657 21938\n47048 70436\n16049 24033\n10945 16416\n6670 9976\n58804 88192\n42000 62831\n89645 100000\n29377 43881\n926 1412\n28717 42907\n23911 35760\n20190 30191\n62604 93913\n36100 53975\n41168 61617\n73084 100000\n86071 100000\n85371 100000\n63113 94671\n34134 51017\n62277 93442\n80286 100000\n82888 100000\n23905 35750\n70848 100000\n56003 83954\n50702 75953\n35388 52900\n49522 74194\n92431 100000\n58443 87662\n67165 100000\n2809 4236\n29962 44782\n95223 100000\n62167 93274\n56800 85144\n53343 79943\n87472 100000\n95741 100000\n85212 100000\n17961 26883\n8468 12676\n12144 18217\n82794 100000\n61761 92649\n26609 39773\n16647 24902\n57945 86911\n23705 35444\n75391 100000\n7570 11336\n21489 32125\n99177 100000\n53338 79936\n76972 100000\n26181 39131\n96147 100000\n92934 100000\n2732 4117\n49391 73993\n10062 15096\n81400 100000\n95416 100000\n84928 100000\n9024 13536\n60525 90793\n49383 73982\n32757 48978\n41086 61495\n3137 4732\n98663 100000\n1413 2142\n88866 100000\n4844 7286\n52831 79184\n88521 100000\n68003 100000\n47083 70490\n82803 100000\n97205 100000\n97387 100000\n75354 100000\n85109 100000\n36493 54565\n76166 100000\n5870 8784\n47900 71737\n70787 100000\n91003 100000\n48539 72687\n25974 38810\n57477 86190\n76190 100000\n19577 29267\n19725 29490\n62745 94119\n17033 25478\n51527 77208\n61890 92850\n19059 28497\n83922 100000\n11169 16738\n15961 23898\n92193 100000\n83513 100000\n67770 100000\n26317 39341\n61716 92581\n92954 100000\n8443 12638\n61223 91844\n63472 95206\n43482 65058\n50554 75745\n16121 24143\n59895 89833\n46133 69057\n87754 100000\n62335 93527\n83873 100000\n27423 40971\n34247 51187\n77065 100000\n71639 100000\n38576 57721\n16861 25220\n25831 38593\n59647 89465\n88166 100000\n40826 61102\n3608 5423\n33243 49700\n53543 80254\n2162 3256\n6354 9513\n44540 66657\n58924 88370\n31570 47206\n79230 100000\n93489 100000\n18112 27106\n74572 100000\n75394 100000\n5735 8592\n19835 29651\n78340 100000\n48204 72186\n61193 91798\n50713 75970\n72123 100000\n13644 20441\n24198 36188\n43048 64403\n15328 22947\n9356 14038\n75243 100000\n1487 2252\n60990 91479\n87605 100000\n62742 94114\n13858 20756\n4534 6818\n80483 100000\n97892 100000\n37997 56826\n50226 75247\n93483 100000\n19962 29842\n96751 100000\n92206 100000\n18554 27756\n57488 86206\n87242 100000\n97389 100000\n2274 3429\n71596 100000\n82180 100000\n94203 100000\n59093 88613\n22441 33543\n91612 100000\n39475 59080\n96588 100000\n52906 79290\n81598 100000\n54456 81633\n9075 13617\n55114 82638\n12752 19116\n12099 18154\n59983 89977\n48652 72861\n66888 100000\n27775 41498\n88510 100000\n4456 6695\n11487 17226\n88712 100000\n42952 64266\n24455 36553\n81682 100000\n68362 100000\n65035 97541\n5965 8928\n59495 89232\n94592 100000\n84400 100000\n29555 44148\n70145 100000\n88971 100000\n11840 17750\n97729 100000\n59903 89845\n32113 48021\n76878 100000\n27950 41764\n6974 10429\n90488 100000\n85677 100000\n62703 94055\n16906 25288\n30552 45666\n78147 100000\n6921 10350\n15438 23117\n41269 61767\n92694 100000\n1636 2477\n75115 100000\n54938 82365\n79893 100000\n10963 16442\n68519 100000\n30687 45872\n1388 2104\n89331 100000\n91312 100000\n65935 98904\n37652 56302\n90030 100000\n54393 81536\n59620 89426\n22160 33120\n86593 100000\n56484 84677\n73271 100000\n39479 59085\n20536 30717\n88423 100000\n70242 100000\n76674 100000\n41148 61585\n77054 100000\n36466 54526\n53791 80629\n93793 100000\n50084 75029\n21244 31761\n99691 100000\n98086 100000\n55502 83197\n25707 38404\n25425 37992\n27560 41176\n73926 100000\n90396 100000\n9149 13726\n47802 71587\n5045 7578\n98390 100000\n63268 94900\n50785 76073\n38044 56902\n84727 100000\n92615 100000\n14366 21516\n63924 95874\n14314 21445\n18570 27781\n90042 100000\n59560 89335\n65489 98235\n2930 4412\n99397 100000\n87572 100000\n82007 100000\n78710 100000\n55078 82582\n75774 100000\n52503 78692\n31271 46755\n42070 62941\n33845 50576\n70427 100000\n75879 100000\n79646 100000\n34236 51173\n71659 100000\n3397 5114\n51573 77276\n15840 23714\n1089 1664\n92472 100000\n39351 58900\n82963 100000\n40890 61197\n794 1206\n93212 100000\n84654 100000\n13913 20835\n50189 75188\n87390 100000\n41463 62050\n12444 18663\n46452 69550\n18757 28058\n43380 64906\n97767 100000\n17567 26278\n98589 100000\n38907 58217\n54663 81948\n87781 100000\n92705 100000\n41727 62434\n28869 43140\n49333 73905\n44183 66122\n65155 97724\n43286 64767\n603 918\n89797 100000\n88920 100000\n90801 100000\n50274 75318\n19099 28557\n36836 55070\n46839 70135\n83977 100000\n51744 77537\n91814 100000\n65038 97546\n11138 16693\n98952 100000\n86001 100000\n95144 100000\n16407 24556\n25287 37779\n8171 12233\n62850 94279\n86780 100000\n57643 86446\n23701 35438\n57681 86503\n70809 100000\n49787 74592\n15082 22577\n36295 54263\n50685 75931\n74574 100000\n35797 53515\n26399 39461\n24789 37043\n18223 27269\n1822 2741\n52855 79217\n66626 99970\n83713 100000\n80092 100000\n53844 80705\n75894 100000\n96124 100000\n26951 40273\n43586 65220\n85214 100000\n24614 36792\n7992 11966\n67802 100000\n83019 100000\n8106 12137\n76614 100000\n70888 100000\n75112 100000\n13495 20218\n35896 53657\n94256 100000\n12876 19304\n5125 7695\n53364 79978\n86943 100000\n60510 90767\n19069 28510\n94155 100000\n80826 100000\n3548 5341\n40741 60972\n20476 30629\n64116 96167\n45781 68526\n73435 100000\n19372 28961\n39220 58701\n68813 100000\n41367 61918\n66165 99261\n33370 49881\n72756 100000\n56259 84328\n21034 31449\n8997 13496\n36494 54566\n57943 86908\n32942 49253\n23447 35066\n14367 21518\n15571 23318\n14573 21824\n92183 100000\n95976 100000\n11882 17816\n25188 37631\n10764 16150\n19641 29366\n71545 100000\n69802 100000\n54545 81765\n51710 77484\n17001 25429\n85258 100000\n21617 32320\n46727 69962\n75610 100000\n80482 100000\n85565 100000\n95485 100000\n52048 78002\n38729 57953\n29912 44706\n53344 79945\n41931 62733\n97451 100000\n48342 72393\n74150 100000\n98068 100000\n60922 91382\n44861 67128\n4849 7295\n56917 85322\n42670 63847\n12192 18288\n51605 77327\n14875 22271\n7246 10847\n99523 100000\n87786 100000\n66218 99341\n73771 100000\n82142 100000\n63099 94648\n16288 24385\n32246 48222\n64124 96179\n60962 91439\n71065 100000\n40926 61251\n6196 9271\n68728 100000\n32066 47951\n34421 51445\n43660 65335\n61846 92779\n74180 100000\n85000 100000\n30450 45517\n65085 97616\n49063 73482\n65880 98821\n99803 100000\n77737 100000\n33514 50093\n26424 39498\n6005 8991\n10700 16054\n12838 19246\n6454 9650\n25993 38839\n15797 23656\n97282 100000\n82133 100000\n11443 17158\n98110 100000\n9043 13565\n86072 100000\n21193 31686\n34863 52117\n72229 100000\n20572 30768\n72965 100000\n21102 31553\n38304 57302\n79090 100000\n68633 100000\n59501 89241\n14506 21727\n65816 98727\n29128 43518\n23984 35872\n72486 100000\n44043 65911\n4402 6617\n8470 12679\n43300 64788\n8799 13188\n15373 23013\n50854 76183\n78287 100000\n48506 72635\n98570 100000\n44098 65995\n27237 40693\n76235 100000\n87049 100000\n47385 70960\n52780 79110\n94119 100000\n99633 100000\n69718 100000\n3666 5508\n43771 65502\n86782 100000\n75740 100000\n69074 100000\n10488 15736\n18047 27010\n22334 33374\n92267 100000\n95832 100000\n58667 87993\n54310 81408\n64062 96084\n10964 16443\n52967 79388\n56984 85424\n72063 100000\n31536 47158\n84434 100000\n45046 67409\n34871 52130\n29491 44052\n8823 13222\n7434 11127\n43361 64874\n27175 40607\n85333 100000\n69813 100000\n62022 93045\n49558 74250\n71348 100000\n82184 100000\n6545 9786\n19779 29567\n36075 53935\n24057 35983\n28526 42612\n26248 39233\n81756 100000\n2015 3032\n3632 5454\n34716 51904\n95688 100000\n16185 24234\n66670 100000\n46433 69519\n93644 100000\n25753 38471\n74962 100000\n17067 25531\n98229 100000\n77125 100000\n22242 33236\n47390 70969\n8178 12242\n66077 99125\n54049 81024\n26036 38908\n70084 100000\n25931 38742\n37709 56389\n92077 100000\n40120 60042\n25516 38121\n59288 88909\n80281 100000\n74393 100000\n77778 100000\n47828 71626\n68250 100000\n8305 12431\n16030 24007\n42819 64066\n30669 45844\n85933 100000\n26392 39450\n7680 11498\n35726 53411\n44365 66397\n58033 87038\n627 954\n98633 100000\n15102 22607\n81235 100000\n69328 100000\n38940 58271\n32409 48461\n62258 93411\n97163 100000\n72822 100000\n77979 100000\n49536 74215\n10166 15251\n55476 83162\n48835 73131\n79811 100000\n44408 66461\n62980 94472\n4143 6238\n56398 84548\n5608 8407\n63235 94850\n26849 40118\n94624 100000\n61212 91827\n85475 100000\n31576 47214\n60187 90283\n47971 71843\n15939 23865\n55391 83038\n47423 71023\n16579 24803\n80835 100000\n64654 96971\n12953 19415\n63732 95592\n53200 79726\n88387 100000\n30097 44981\n681 1036\n18621 27855\n7460 11168\n21764 32540\n27770 41490\n86307 100000\n59507 89249\n87717 100000\n94497 100000\n3849 5793\n35716 53397\n57958 86928\n41797 62535\n72353 100000\n42522 63620\n28163 42087\n44699 66892\n64900 97337\n32060 47942\n65842 98764\n59066 88576\n18025 26979\n74782 100000\n4294 6455\n58382 87570\n81485 100000\n12389 18581\n4528 6809\n51098 76558\n80713 100000\n63167 94749\n16962 25371\n35090 52455\n57390 86054\n57582 86353\n15794 23651\n10652 15982\n68950 100000\n2968 4472\n36971 55272\n12521 18773\n40006 59873\n57231 85815\n32100 48002\n29053 43412\n42037 62891\n19050 28482\n43860 65638\n67417 100000\n20511 30684\n39392 58955\n78185 100000\n69969 100000\n36994 55310\n8291 12411\n76507 100000\n21342 31903\n73093 100000\n60294 90444\n41296 61811\n8488 12705\n56943 85366\n63766 95642\n48540 72689\n5662 8485\n47928 71779\n46599 69769\n68624 100000\n26301 39315\n2576 3883\n15307 22920\n78290 100000\n85897 100000\n85832 100000\n75398 100000\n96341 100000\n59497 89235\n61201 91811\n32726 48928\n85026 100000\n22755 34028\n23517 35171\n60511 90769\n84161 100000\n59185 88755\n4837 7277\n63002 94506\n25632 38287\n73654 100000\n59323 88963\n42111 63003\n20563 30757\n20594 30800\n96524 100000\n77394 100000\n70281 100000\n31226 46686\n5286 7933\n79294 100000\n11039 16552\n94724 100000\n60041 90064\n33668 50319\n2765 4169\n40452 60539\n66823 100000\n86301 100000\n59436 89144\n31624 47292\n79990 100000\n46930 70263\n25959 38786\n46652 69851\n89929 100000\n42695 63883\n73901 100000\n10656 15987\n26843 40109\n51912 77795\n2613 3942\n22707 33952\n42782 64014\n60593 90892\n81099 100000\n12059 18092\n53809 80653\n32309 48316\n89459 100000\n50994 76398\n62408 93627\n31678 47381\n58828 88229\n20394 30502\n2249 3390\n244 370\n76883 100000\n23504 35157\n35857 53600\n1632 2471\n74304 100000\n23626 35329\n21499 32140\n8049 12052\n85762 100000\n4153 6255\n82991 100000\n65900 98849\n19246 28777\n79854 100000\n86050 100000\n75465 100000\n65263 97891\n41501 62105\n61743 92621\n5290 7941\n75748 100000\n82865 100000\n38667 57861\n72317 100000\n4251 6397\n76710 100000\n2874 4331\n2876 4334\n67167 100000\n97897 100000\n38615 57780\n41215 61690\n61222 91843\n35135 52520\n19062 28502\n87213 100000\n57001 85453\n95012 100000\n93507 100000\n31314 46824\n22144 33098\n32300 48303\n24334 36385\n5857 8765\n36009 53827\n71830 100000\n75921 100000\n44981 67310\n71434 100000\n17317 25913\n99781 100000\n109 168\n23988 35878\n42437 63499\n30736 45953\n12825 19226\n69230 100000\n94286 100000\n27355 40870\n69640 100000\n94797 100000\n30455 45527\n41401 61967\n26369 39417\n74715 100000\n23383 34965\n28537 42629\n64173 96252\n55969 83904\n8279 12394\n19039 28465\n57825 86732\n13262 19871\n97318 100000\n3176 4788\n34220 51150\n73516 100000\n83737 100000\n86568 100000\n45139 67551\n8759 13125\n45776 68517\n75472 100000\n17178 25701\n21802 32596\n4858 7307\n8725 13073\n51219 76734\n15737 23569\n21068 31503\n10865 16291\n96022 100000\n53463 80130\n23889 35725\n64121 96173\n4711 7085\n35262 52713\n32940 49251\n48644 72848\n16401 24547\n30561 45679\n91218 100000\n2298 3465\n47348 70899\n80634 100000\n58774 88151\n9101 13655\n80839 100000\n45494 68091\n15458 23143\n28264 42238\n68722 100000\n89975 100000\n63082 94623\n88912 100000\n78419 100000\n94623 100000\n5785 8663\n20323 30391\n13106 19641\n79409 100000\n36871 55125\n93514 100000\n37247 55697\n61922 92896\n18939 28329\n15286 22888\n76108 100000\n1060 1622\n5472 8203\n72143 100000\n60654 90983\n61150 91729\n13126 19669\n79390 100000\n78483 100000\n49061 73479\n1824 2745\n47801 71586\n66022 99037\n5764 8633\n44130 66044\n28561 42660\n34710 51898\n31902 47702\n2939 4425\n82190 100000\n13980 20941\n42961 64280\n8080 12097\n31286 46777\n41178 61633\n69522 100000\n7507 11246\n75968 100000\n39853 59651\n6574 9824\n18480 27651\n99482 100000\n23594 35279\n3807 5727\n23950 35819\n42097 62981\n49476 74122\n35063 52416\n70855 100000\n14505 21725\n80436 100000\n72094 100000\n29836 44587\n31215 46669\n59833 89740\n69523 100000\n61799 92705\n18355 27463\n48767 73031\n52835 79188\n48680 72904\n26936 40252\n95391 100000\n26511 39631\n325 486\n93692 100000\n59995 89994\n63821 95720\n7381 11049\n78831 100000\n94343 100000\n2073 3124\n57092 85595\n29782 44506\n15746 23582\n57800 86695\n20769 31054\n91463 100000\n73036 100000\n64986 97464\n27273 40747\n88243 100000\n7237 10832\n92291 100000\n47024 70402\n25037 37399\n17528 26221\n20923 31274\n21553 32225\n16234 24306\n71597 100000\n4619 6947\n93486 100000\n73181 100000\n52291 78379\n82750 100000\n88685 100000\n60756 91138\n9207 13819\n65796 98696\n9755 14636\n85893 100000\n49360 73946\n78861 100000\n73090 100000\n74033 100000\n33774 50471\n9939 14908\n63855 95769\n61102 91650\n66400 99621\n62784 94175\n57043 85517\n66578 99897\n32750 48967\n75402 100000\n8331 12472\n94386 100000\n10538 15809\n29677 44347\n80935 100000\n82391 100000\n75685 100000\n36691 54846\n535 812\n74329 100000\n12172 18254\n88042 100000\n9068 13606\n98538 100000\n86127 100000\n36601 54722\n15638 23420\n19026 28445\n49016 73406\n70038 100000\n51450 77090\n289 434\n74727 100000\n11744 17607\n55415 83071\n5487 8224\n37671 56330\n71902 100000\n37110 55492\n38430 57493\n27072 40459\n14699 22006\n84452 100000\n69319 100000\n74475 100000\n69211 100000\n79967 100000\n68195 100000\n28100 41988\n21210 31713\n90755 100000\n99231 100000\n26145 39074\n73493 100000\n14060 21055\n5694 8531\n79023 100000\n49899 74759\n38491 57587\n56419 84582\n72162 100000\n95059 100000\n21458 32081\n10843 16257\n43616 65271\n74176 100000\n4741 7129\n16432 24591\n19379 28973\n30916 46218\n79363 100000\n28441 42493\n1531 2320\n10213 15323\n12119 18184\n2401 3624\n51542 77229\n66622 99963\n12948 19407\n85461 100000\n2182 3289\n40843 61126\n21704 32450\n85676 100000\n39940 59777\n11680 17514\n77703 100000\n54095 81091\n54139 81160\n76740 100000\n59194 88768\n31883 47674\n7677 11492\n30702 45894\n38736 57963\n38759 57997\n12725 19078\n62195 93318\n69361 100000\n26232 39208\n37401 55924\n80015 100000\n55069 82569\n7499 11234\n78316 100000\n76479 100000\n31383 46925\n32901 49191\n11271 16899\n47573 71247\n79017 100000\n59742 89604\n93903 100000\n70864 100000\n6452 9647\n79159 100000\n59693 89530\n80854 100000\n19670 29409\n20064 29999\n78077 100000\n76437 100000\n7931 11875\n76763 100000\n69294 100000\n22663 33886\n28570 42675\n12528 18781\n82410 100000\n86611 100000\n43637 65302\n74784 100000\n30933 46244\n45705 68412\n75174 100000\n69667 100000\n60366 90550\n83317 100000\n61625 92441\n87747 100000\n39941 59779\n78372 100000\n29678 44349\n55615 83376\n88601 100000\n42998 64331\n22232 33221\n23779 35556\n34347 51335\n26281 39288\n17855 26714\n17189 25719\n50507 75675\n80687 100000\n26855 40127\n46567 69723\n90562 100000\n67031 100000\n69905 100000\n89950 100000\n17174 25695\n56490 84687\n57745 86607\n75815 100000\n39582 59242\n17874 26745\n14273 21384\n81007 100000\n41503 62108\n27728 41426\n87323 100000\n81302 100000\n94804 100000\n82496 100000\n44837 67091\n57914 86864\n31394 46941\n2432 3670\n47616 71304\n51613 77341\n59320 88959\n66008 99017\n43607 65257\n2885 4348\n83202 100000\n914 1393\n44400 66449\n32384 48425\n51995 77925\n990 1513\n69258 100000\n5495 8237\n7751 11601\n13054 19567\n71754 100000\n11481 17217\n93301 100000\n44095 65990\n65650 98478\n13641 20436\n85410 100000\n72973 100000\n80754 100000\n35747 53441\n33998 50810\n33300 49780\n17892 26772\n80981 100000\n97182 100000\n70028 100000\n57670 86486\n70041 100000\n31272 46756\n81907 100000\n35572 53175\n36012 53833\n35521 53100\n99146 100000\n69341 100000\n80359 100000\n60212 90319\n69248 100000\n35406 52931\n467 706\n85636 100000\n51735 77523\n5450 8171\n45260 67740\n87715 100000\n97868 100000\n11160 16724\n51057 76494\n56712 85013\n24341 36396\n71256 100000\n51921 77811\n54309 81407\n27742 41451\n86958 100000\n88349 100000\n24879 37177\n80484 100000\n87218 100000\n20406 30519\n38670 57864\n77777 100000\n43486 65065\n13352 20011\n34442 51482\n23118 34570\n99040 100000\n63870 95795\n21177 31663\n45069 67444\n50558 75752\n6165 9226\n66964 100000\n49159 73633\n7891 11814\n78588 100000\n33002 49340\n65269 97899\n30805 46055\n93505 100000\n24026 35934\n93980 100000\n94684 100000\n82698 100000\n30705 45899\n87936 100000\n98258 100000\n97890 100000\n39369 58923\n38488 57582\n28419 42460\n61031 91544\n66458 99710\n64266 96388\n73592 100000\n15424 23095\n85991 100000\n97142 100000\n10012 15017\n17420 26066\n23920 35775\n47563 71231\n75529 100000\n59023 88511\n35650 53295\n19424 29048\n15096 22597\n53293 79864\n97439 100000\n80169 100000\n54794 82148\n90516 100000\n52022 77963\n62856 94288\n74920 100000\n36993 55308\n29327 43809\n56466 84652\n58761 88132\n43001 64335\n53838 80695\n57764 86636\n11714 17564\n92422 100000\n6182 9253\n41156 61598\n39579 59238\n9673 14507\n54453 81630\n72107 100000\n50885 76229\n31013 46367\n70219 100000\n38542 57665\n71680 100000\n9252 13885\n72848 100000\n95963 100000\n96991 100000\n4704 7075\n43906 65713\n7145 10687\n44180 66119\n37624 56256\n45191 67632\n30738 45956\n72644 100000\n39312 58840\n54921 82341\n86380 100000\n6386 9560\n14927 22352\n52033 77980\n23694 35428\n18962 28362\n62730 94096\n37375 55886\n39791 59558\n68667 100000\n17337 25941\n27811 41552\n91676 100000\n7516 11262\n30525 45627\n18816 28146\n75073 100000\n92684 100000\n51016 76432\n19475 29118\n30152 45061\n46324 69345\n97102 100000\n9380 14068\n37645 56289\n78224 100000\n99262 100000\n56338 84458\n75122 100000\n76348 100000\n71901 100000\n40896 61205\n43698 65390\n5792 8672\n36560 54665\n22605 33795\n90304 100000\n89473 100000\n38570 57712\n36872 55127\n45466 68051\n26656 39835\n68097 100000\n73788 100000\n13943 20881\n75345 100000\n96388 100000\n8918 13368\n50224 75245\n45583 68227\n55152 82693\n57964 86938\n68499 100000\n96938 100000\n21552 32224\n41236 61720\n986 1508\n25383 37929\n66676 100000\n96462 100000\n37207 55639\n1592 2412\n66681 100000\n97860 100000\n16974 25390\n34734 51933\n25083 37472\n95131 100000\n55337 82960\n54939 82367\n96931 100000\n64894 97329\n63321 94983\n42632 63788\n62892 94346\n40551 60691\n94938 100000\n12240 18362\n33564 50171\n87963 100000\n5514 8267\n75819 100000\n64895 97331\n18604 27829\n11587 17369\n39608 59279\n92088 100000\n59158 88714\n57959 86930\n85740 100000\n11514 17266\n44248 66217\n88104 100000\n13287 19909\n9672 14505\n73809 100000\n34728 51923\n50485 75642\n38637 57817\n91494 100000\n58921 88366\n88615 100000\n65199 97794\n36956 55251\n71109 100000\n30268 45241\n85768 100000\n51545 77234\n23045 34458\n95457 100000\n13434 20131\n64480 96700\n3594 5403\n32765 48987\n92136 100000\n91880 100000\n889 1357\n3641 5470\n21409 32001\n48631 72830\n79655 100000\n7628 11416\n23590 35273\n78873 100000\n14720 22038\n47040 70426\n75866 100000\n44264 66242\n50912 76274\n82199 100000\n9858 14787\n7986 11958\n55589 83335\n28723 42914\n29835 44585\n9311 13971\n30968 46298\n43967 65797\n43553 65168\n31224 46682\n47492 71120\n52623 78875\n18873 28232\n33807 50521\n1114 1702\n40170 60120\n87226 100000\n63354 95037\n92716 100000\n81958 100000\n79000 100000\n46923 70255\n33363 49871\n40757 60997\n62972 94459\n62095 93164\n72264 100000\n27668 41337\n36206 54130\n85233 100000\n86617 100000\n65950 98926\n14891 22298\n24657 36853\n19462 29104\n140 210\n10698 16052\n84374 100000\n20145 30125\n61263 91912\n31336 46853\n26236 39213\n18609 27836\n92892 100000\n20071 30011\n83429 100000\n66867 100000\n5747 8609\n33876 50622\n54053 81029\n53178 79696\n68605 100000\n74692 100000\n28573 42679\n92801 100000\n14454 21651\n43503 65091\n67564 100000\n14673 21964\n95206 100000\n90639 100000\n82535 100000\n40866 61162\n31801 47552\n36593 54712\n47676 71392\n93592 100000\n31504 47108\n76261 100000\n61860 92801\n80556 100000\n28126 42026\n56637 84903\n80934 100000\n77867 100000\n46393 69454\n25849 38622\n74609 100000\n3273 4936\n21258 31778\n83595 100000\n34881 52144\n41853 62617\n79482 100000\n12044 18069\n87635 100000\n70818 100000\n72854 100000\n66599 99930\n39339 58886\n79588 100000\n70540 100000\n48854 73160\n40517 60641\n9717 14575\n86833 100000\n18448 27607\n87487 100000\n75889 100000\n79027 100000\n77510 100000\n8458 12661\n55000 82467\n64626 96933\n20534 30715\n39719 59452\n77342 100000\n56559 84789\n45318 67825\n19857 29686\n86538 100000\n91103 100000\n87838 100000\n13161 19719\n42072 62944\n83701 100000\n40980 61333\n96734 100000\n13521 20262\n74910 100000\n50770 76051\n27723 41418\n32652 48820\n94097 100000\n85747 100000\n50457 75597\n11530 17288\n78054 100000\n26520 39643\n44149 66070\n45312 67814\n16284 24380\n30534 45639\n23093 34531\n83323 100000\n88061 100000\n37529 56115\n12072 18113\n10156 15234\n17562 26270\n23352 34919\n55466 83149\n51652 77394\n39619 59297\n28003 41841\n13487 20206\n69612 100000\n45176 67610\n57954 86922\n83343 100000\n7152 10699\n88353 100000\n24106 36054\n25854 38630\n51590 77303\n41034 61418\n44009 65862\n13821 20701\n47165 70621\n30082 44959\n47070 70468\n49710 74477\n22337 33379\n9056 13587\n62700 94051\n98811 100000\n83530 100000\n29462 44008\n33765 50458\n18242 27296\n8919 13370\n45683 68376\n89983 100000\n30713 45914\n16963 25372\n87587 100000\n25491 38089\n78670 100000\n33125 49528\n31175 46610\n75800 100000\n22868 34191\n64694 97031\n17971 26896\n45195 67638\n99558 100000\n14336 21474\n18001 26945\n86338 100000\n39298 58820\n45831 68603\n97445 100000\n18822 28155\n8533 12772\n91933 100000\n27162 40590\n96787 100000\n70213 100000\n28166 42091\n60641 90963\n97960 100000\n99365 100000\n41015 61390\n94083 100000\n97316 100000\n70594 100000\n84155 100000\n65352 98023\n87745 100000\n1731 2609\n11164 16731\n53194 79717\n13540 20289\n3087 4657\n65260 97888\n48315 72354\n68210 100000\n63367 95056\n89080 100000\n23982 35868\n92995 100000\n88286 100000\n5738 8598\n97149 100000\n5 9\n94878 100000\n64089 96121\n3931 5929\n9684 14523\n79111 100000\n2705 4079\n2858 4308\n39637 59324\n54351 81472\n82073 100000\n67796 100000\n40971 61318\n38326 57333\n68199 100000\n4502 6766\n29242 43692\n37672 56332\n73396 100000\n46097 69007\n50730 75994\n157 238\n79327 100000\n84912 100000\n60057 90086\n94142 100000\n38618 57786\n62254 93405\n65954 98932\n41319 61844\n58738 88097\n67516 100000\n99727 100000\n84958 100000\n55080 82586\n70190 100000\n77436 100000\n68361 100000\n11220 16821\n45895 68702\n45570 68208\n72487 100000\n76606 100000\n17191 25722\n56252 84319\n24376 36442\n12884 19316\n19082 28529\n43349 64858\n54220 81278\n8498 12724\n7599 11377\n48338 72386\n75039 100000\n20103 30062\n95458 100000\n45837 68613\n24165 36137\n17437 26088\n27182 40615\n63563 95339\n97335 100000\n53135 79635\n9581 14364\n80197 100000\n457 691\n20433 30564\n53982 80917\n26636 39809\n41745 62460\n49355 73940\n1971 2966\n7265 10875\n88036 100000\n46493 69614\n83335 100000\n92110 100000\n51856 77717\n4523 6800\n22764 34041\n9055 13586\n1945 2926\n95556 100000\n4082 6146\n98160 100000\n33923 50690\n30131 45028\n56788 85126\n21928 32779\n56687 84976\n97841 100000\n37043 55388\n41476 62070\n58675 88005\n3153 4752\n15491 23194\n54501 81698\n45231 67693\n18137 27141\n31887 47681\n35839 53576\n14768 22105\n62987 94483\n9960 14939\n29625 44259\n32039 47910\n51555 77249\n22945 34304\n83375 100000\n84929 100000\n56686 84974\n556 842\n91242 100000\n77121 100000\n97940 100000\n27680 41354\n84160 100000\n75898 100000\n14895 22303\n1619 2452\n47728 71475\n56510 84718\n91145 100000\n81694 100000\n84213 100000\n2444 3689\n89335 100000\n18507 27691\n24195 36183\n31630 47302\n83668 100000\n86659 100000\n64582 96862\n12478 18707\n81738 100000\n6234 9330\n49378 73974\n41541 62165\n64906 97346\n49617 74338\n52675 78952\n54121 81131\n91155 100000\n16307 24414\n77774 100000\n98420 100000\n39374 58930\n19852 29677\n36258 54205\n9354 14036\n94013 100000\n49352 73935\n7804 11682\n25997 38843\n20816 31122\n22083 33009\n8209 12291\n49347 73926\n56288 84378\n36280 54240\n35184 52593\n25101 37500\n42821 64069\n16237 24312\n60576 90867\n81026 100000\n78176 100000\n11372 17051\n40772 61022\n63555 95326\n31769 47505\n75180 100000\n44897 67181\n28549 42646\n31328 46841\n13669 20473\n94970 100000\n33424 49956\n81496 100000\n72688 100000\n31698 47412\n26953 40276\n67016 100000\n88453 100000\n70405 100000\n31691 47400\n69398 100000\n58722 88077\n98285 100000\n18973 28378\n43087 64463\n29083 43454\n32647 48812\n86105 100000\n45493 68089\n52359 78475\n18792 28112\n87411 100000\n5561 8338\n12580 18862\n60611 90919\n55640 83412\n54405 81555\n77458 100000\n26537 39666\n71316 100000\n17419 26065\n63753 95622\n61075 91613\n11780 17665\n50059 74992\n46260 69254\n37762 56469\n68378 100000\n29735 44437\n75608 100000\n99600 100000\n89119 100000\n88067 100000\n1090 1666\n62280 93446\n2952 4447\n17302 25891\n98174 100000\n23770 35542\n45658 68338\n78544 100000\n66680 100000\n5212 7828\n41188 61651\n6166 9228\n83731 100000\n33355 49861\n3910 5894\n97138 100000\n24118 36069\n49516 74182\n56580 84818\n9454 14183\n92556 100000\n77152 100000\n59043 88540\n60497 90751\n29906 44699\n41511 62122\n39913 59740\n62628 93945\n76526 100000\n17228 25778\n60648 90974\n22975 34345\n59709 89556\n80677 100000\n98778 100000\n38902 58209\n65760 98641\n53630 80390\n4045 6095\n56086 84078\n27641 41304\n18295 27374\n34770 51987\n8965 13443\n60685 91029\n62954 94435\n2832 4269\n44433 66496\n64136 96196\n75417 100000\n45468 68054\n3660 5497\n83491 100000\n69520 100000\n80259 100000\n87787 100000\n2150 3241\n78291 100000\n14434 21620\n56603 84856\n58529 87791\n38541 57663\n19937 29803\n50225 75246\n11658 17482\n70465 100000\n7239 10835\n71631 100000\n44036 65902\n24003 35902\n25048 37416\n34107 50979\n63240 94859\n35034 52372\n65951 98928\n11715 17566\n83647 100000\n69935 100000\n70997 100000\n62981 94474\n82024 100000\n42015 62855\n44186 66126\n27958 41774\n50463 75607\n84082 100000\n64535 96790\n18407 27546\n10396 15599\n57743 86603\n1273 1935\n77694 100000\n71125 100000\n69159 100000\n18380 27504\n91434 100000\n97375 100000\n81792 100000\n14694 21998\n64151 96216\n16896 25273\n14918 22338\n72926 100000\n9378 14066\n92199 100000\n10341 15516\n84427 100000\n8572 12828\n55220 82787\n30613 45757\n52303 78396\n10842 16256\n63390 95087\n31465 47047\n876 1336\n97193 100000\n18018 26971\n52763 79085\n7923 11862\n28947 43253\n82572 100000\n70774 100000\n41876 62650\n16477 24650\n28217 42171\n54846 82225\n65845 98769\n36359 54366\n91222 100000\n74684 100000\n55646 83419\n86095 100000\n21376 31953\n64360 96529\n76310 100000\n64181 96262\n96467 100000\n8531 12769\n67227 100000\n9705 14558\n43012 64352\n17973 26899\n44813 67056\n87526 100000\n60410 90613\n12141 18214\n86771 100000\n17452 26110\n10583 15881\n67767 100000\n37469 56024\n78507 100000\n60134 90202\n16328 24441\n89389 100000\n6899 10317\n39875 59685\n52980 79405\n36333 54325\n73443 100000\n86820 100000\n31129 46543\n84593 100000\n56228 84283\n3114 4697\n80045 100000\n89166 100000\n13976 20934\n15330 22950\n75107 100000\n28710 42898\n60222 90335\n84967 100000\n46482 69596\n20937 31297\n82691 100000\n23274 34803\n63760 95632\n69340 100000\n46709 69937\n8732 13084\n45078 67457\n85717 100000\n98462 100000\n25863 38644\n77108 100000\n10592 15895\n82188 100000\n40370 60418\n11754 17621\n16779 25097\n75799 100000\n54088 81084\n19006 28423\n40889 61196\n10659 15992\n76079 100000\n90815 100000\n64384 96561\n39172 58620\n43812 65565\n19878 29719\n10354 15533\n65089 97620\n8454 12655\n70451 100000\n65851 98775\n96855 100000\n37153 55557\n10367 15554\n69619 100000\n4099 6171\n5744 8605\n57830 86737\n97293 100000\n1453 2200\n44212 66164\n59626 89435\n48683 72907\n22114 33054\n48415 72499\n22503 33635\n53906 80803\n6438 9629\n75569 100000\n94450 100000\n31550 47178\n61490 92246\n41076 61481\n82843 100000\n49668 74413\n48758 73019\n37340 55834\n64779 97153\n15942 23869\n90718 100000\n38242 57208\n52619 78869\n23478 35117\n96189 100000\n59309 88943\n36379 54398\n5802 8686\n58923 88369\n68336 100000\n53155 79665\n56919 85326\n30345 45356\n40062 59956\n46699 69921\n6358 9520\n17773 26588\n38395 57440\n61050 91573\n320 477\n92123 100000\n24706 36925\n54117 81125\n539 818\n85632 100000\n82296 100000\n56140 84158\n5955 8913\n92651 100000\n96997 100000\n16114 24132\n17953 26872\n35822 53551\n19939 29807\n9817 14727\n28005 41845\n16315 24425\n24563 36713\n10020 15031\n29041 43395\n520 790\n51008 76419\n52534 78741\n14645 21920\n60330 90499\n8438 12630\n47051 70440\n32358 48386\n92605 100000\n56224 84278\n14221 21306\n98746 100000\n84495 100000\n65758 98638\n5548 8319\n82274 100000\n90476 100000\n65580 98366\n46287 69291\n49493 74148\n61547 92331\n35806 53531\n38909 58220\n34331 51314\n48970 73339\n5351 8030\n63018 94530\n57767 86641\n85436 100000\n91410 100000\n82083 100000\n58126 87180\n55305 82912\n52 75\n90174 100000\n4836 7275\n82808 100000\n50222 75242\n83878 100000\n86845 100000\n41593 62242\n40796 61057\n51705 77477\n2403 3627\n35577 53183\n31210 46660\n44590 66736\n38213 57163\n52476 78651\n54777 82122\n85473 100000\n58277 87407\n58504 87751\n21370 31943\n685 1041\n8747 13105\n94920 100000\n9225 13849\n16508 24696\n8460 12664\n10612 15922\n91808 100000\n38822 58090\n19274 28821\n8227 12315\n46411 69481\n56622 84882\n59245 88844\n23730 35483\n84747 100000\n43328 64826\n83047 100000\n59967 89949\n61112 91665\n31795 47543\n43460 65025\n4540 6827\n53528 80232\n86703 100000\n56614 84871\n4793 7213\n30476 45556\n35400 52920\n14011 20987\n83968 100000\n35617 53241\n26385 39441\n73525 100000\n1361 2066\n34033 50862\n56817 85169\n42889 64174\n4734 7120\n58748 88113\n11045 16560\n775 1180\n67469 100000\n39669 59374\n13244 19844\n13277 19895\n5852 8759\n35538 53125\n70983 100000\n29120 43506\n51945 77849\n18084 27064\n82353 100000\n30146 45051\n5197 7807\n42653 63820\n7406 11085\n2616 3946\n91749 100000\n84055 100000\n38827 58097\n88749 100000\n85079 100000\n35505 53077\n11190 16775\n91208 100000\n96283 100000\n69199 100000\n28405 42438\n57414 86093\n58324 87481\n81410 100000\n53746 80567\n72972 100000\n90086 100000\n25036 37398\n97122 100000\n11324 16978\n21214 31717\n88808 100000\n53180 79699\n26080 38974\n76105 100000\n31840 47607\n60496 90750\n36405 54440\n98392 100000\n96925 100000\n25171 37604\n80395 100000\n53383 80008\n53346 79948\n53422 80068\n25641 38298\n38509 57613\n43784 65522\n32144 48067\n49087 73519\n35929 53712\n86466 100000\n7797 11671\n76436 100000\n45747 68471\n79380 100000\n7273 10888\n55301 82907\n31039 46408\n62733 94100\n65879 98819\n76534 100000\n37349 55847\n21459 32082\n68459 100000\n91868 100000\n5209 7824\n31131 46546\n3976 5991\n98078 100000\n24356 36417\n25125 37534\n65672 98509\n15414 23077\n83383 100000\n65228 97840\n31831 47592\n49398 74004\n5540 8305\n81319 100000\n40795 61055\n41826 62576\n92064 100000\n42630 63785\n23896 35736\n70880 100000\n14764 22098\n71122 100000\n9044 13567\n90309 100000\n46189 69144\n54081 81073\n93255 100000\n30617 45764\n66595 99924\n64315 96460\n87827 100000\n63269 94901\n36879 55137\n36271 54226\n34943 52240\n50890 76239\n9034 13551\n66644 99998\n61688 92539\n41134 61568\n10399 15603\n38192 57129\n7389 11061\n42319 63326\n10729 16099\n56146 84168\n23952 35822\n793 1204\n50293 75349\n22968 34336\n17684 26454\n54114 81121\n99063 100000\n42842 64099\n51007 76418\n14056 21050\n21913 32756\n90454 100000\n96688 100000\n79100 100000\n4775 7183\n48492 72614\n85114 100000\n13717 20542\n68727 100000\n25058 37433\n74502 100000\n47176 70637\n71809 100000\n43621 65279\n39499 59115\n23100 34544\n6124 9171\n94209 100000\n60128 90194\n62144 93240\n59785 89669\n79632 100000\n50834 76150\n18160 27173\n37828 56573\n75621 100000\n24437 36528\n30951 46271\n18722 28006\n86695 100000\n41948 62755\n60017 90026\n13148 19701\n42004 62838\n37080 55449\n52562 78788\n75500 100000\n74909 100000\n91810 100000\n88707 100000\n90006 100000\n53789 80625\n534 810\n43509 65100\n89919 100000\n45923 68746\n7455 11160\n83543 100000\n91891 100000\n15474 23167\n77628 100000\n12813 19207\n12185 18276\n69104 100000\n94456 100000\n95051 100000\n58561 87839\n97575 100000\n13830 20715\n67664 100000\n43868 65652\n11943 17912\n38433 57499\n43602 65251\n56334 84452\n57897 86839\n23601 35290\n26152 39084\n82053 100000\n92574 100000\n40014 59883\n48618 72813\n3840 5779\n34609 51746\n90188 100000\n32102 48006\n20768 31052\n29817 44558\n85532 100000\n56271 84346\n76966 100000\n39317 58848\n18289 27365\n72346 100000\n99770 100000\n56620 84879\n66662 100000\n36424 54469\n68811 100000\n63089 94633\n92085 100000\n77634 100000\n60709 91066\n58650 87967\n53690 80485\n442 667\n43783 65520\n65764 98649\n89547 100000\n23951 35820\n75920 100000\n68169 100000\n50637 75863\n12591 18879\n88016 100000\n89869 100000\n13551 20307\n84341 100000\n5922 8864\n58746 88109\n18418 27562\n45373 67908\n25407 37967\n77045 100000\n82894 100000\n90899 100000\n15218 22780\n86863 100000\n98076 100000\n85218 100000\n94695 100000\n96180 100000\n87239 100000\n88797 100000\n67201 100000\n46893 70213\n83616 100000\n85174 100000\n79154 100000\n79288 100000\n72223 100000\n10767 16154\n819 1244\n82230 100000\n67457 100000\n5141 7715\n28524 42608\n46637 69829\n87514 100000\n92532 100000\n50619 75838\n90351 100000\n37370 55879\n40861 61154\n90381 100000\n74140 100000\n80221 100000\n49867 74713\n45971 68816\n51404 77025\n29364 43861\n17471 26138\n55601 83352\n83781 100000\n38656 57845\n26154 39086\n562 853\n73506 100000\n47914 71758\n86649 100000\n2920 4398\n45827 68596\n63919 95867\n25570 38198\n22446 33551\n59512 89258\n33393 49916\n15599 23360\n86088 100000\n33951 50737\n82513 100000\n90191 100000\n22958 34322\n27353 40867\n57315 85946\n18012 26961\n91413 100000\n45864 68653\n40401 60468\n81102 100000\n91306 100000\n93157 100000\n17833 26677\n74120 100000\n75450 100000\n15053 22535\n36344 54342\n55444 83117\n84945 100000\n60394 90590\n26747 39970\n30628 45782\n11105 16646\n40456 60547\n58583 87867\n78826 100000\n7861 11766\n69 105\n98827 100000\n6846 10241\n4087 6153\n7119 10647\n60699 91050\n68777 100000\n46735 69972\n35 49\n41977 62797\n41432 62007\n62289 93457\n9537 14300\n82135 100000\n53361 79972\n46715 69946\n20495 30659\n51093 76552\n48785 73056\n10873 16303\n37364 55870\n7847 11746\n68449 100000\n89876 100000\n60436 90659\n30184 45111\n14578 21830\n54175 81215\n15598 23359\n39319 58852\n90033 100000\n50128 75098\n48553 72709\n59896 89835\n7431 11122\n76320 100000\n55916 83824\n43089 64466\n14765 22100\n70521 100000\n12552 18819\n72428 100000\n64278 96405\n47989 71871\n79852 100000\n74097 100000\n85307 100000\n65530 98295\n96096 100000\n20633 30857\n8925 13382\n51493 77155\n71906 100000\n49110 73556\n33316 49804\n18942 28334\n15221 22784\n64229 96336\n62959 94442\n47129 70565\n83134 100000\n34203 51124\n69699 100000\n11083 16618\n58791 88175\n94043 100000\n19360 28943\n80818 100000\n43589 65226\n71954 100000\n63623 95429\n70178 100000\n78093 100000\n44135 66050\n3544 5334\n65673 98510\n75085 100000\n82038 100000\n25828 38589\n2091 3154\n81021 100000\n29258 43715\n60276 90418\n20006 29909\n80947 100000\n96518 100000\n76510 100000\n39762 59512\n1761 2652\n20542 30725\n27369 40892\n3321 4999\n48062 71974\n48955 73317\n84831 100000\n89903 100000\n23494 35142\n35459 53009\n15319 22935\n82801 100000\n21674 32402\n19715 29474\n77058 100000\n32563 48690\n177 267\n65696 98546\n48151 72114\n71940 100000\n32703 48894\n56940 85362\n50833 76148\n90468 100000\n48008 71899\n4198 6320\n19439 29069\n25010 37362\n49527 74202\n31037 46406\n9147 13723\n51368 76969\n96259 100000\n45485 68079\n89853 100000\n14485 21693\n58536 87800\n16718 25009\n47767 71538\n88722 100000\n7693 11517\n63373 95064\n1446 2189\n19283 28834\n13728 20558\n62362 93566\n78134 100000\n4085 6150\n10360 15541\n30394 45434\n71012 100000\n85263 100000\n17798 26622\n41059 61454\n70191 100000\n77570 100000\n47800 71585\n67815 100000\n72036 100000\n5457 8183\n67727 100000\n12677 19007\n62589 93890\n33634 50269\n88945 100000\n40609 60778\n55726 83544\n50505 75672\n33853 50589\n38088 56970\n13058 19572\n34147 51036\n21285 31818\n83650 100000\n24666 36864\n15026 22494\n83939 100000\n56970 85404\n14462 21664\n7740 11588\n58973 88441\n26143 39071\n63613 95414\n38406 57455\n28894 43178\n67919 100000\n52948 79356\n38696 57905\n54470 81652\n81433 100000\n26407 39473\n74433 100000\n76754 100000\n94462 100000\n79163 100000\n18306 27390\n91151 100000\n9146 13721\n32445 48513\n14595 21853\n48403 72480\n72197 100000\n75420 100000\n43845 65616\n14775 22117\n40565 60712\n65302 97948\n31806 47558\n95267 100000\n98751 100000\n56491 84689\n22438 33538\n59397 89080\n7236 10831\n52363 78482\n307 462\n73834 100000\n91672 100000\n99409 100000\n49991 74890\n74519 100000\n46379 69433\n43307 64799\n85970 100000\n17501 26184\n71762 100000\n19917 29775\n67535 100000\n57639 86441\n11444 17160\n19041 28468\n54829 82201\n8797 13185\n94783 100000\n16887 25262\n32638 48801\n16008 23973\n21387 31969\n28311 42307\n9248 13880\n94939 100000\n97523 100000\n49341 73916\n53348 79951\n53464 80131\n66445 99689\n57224 85806\n7574 11341\n44941 67255\n87255 100000\n11047 16563\n20100 30056\n31449 47023\n20960 31332\n33967 50763\n35350 52847\n53193 79716\n6050 9057\n55654 83429\n5336 8007\n29545 44134\n73514 100000\n95752 100000\n15274 22867\n68358 100000\n67628 100000\n56894 85289\n25501 38102\n30998 46344\n35998 53812\n7345 10996\n71975 100000\n58695 88035\n32266 48251\n44247 66216\n74905 100000\n34297 51263\n50620 75840\n84827 100000\n34123 50999\n79229 100000\n87989 100000\n58198 87284\n73556 100000\n23372 34950\n24963 37296\n86487 100000\n33230 49680\n68497 100000\n24716 36940\n29111 43494\n99025 100000\n2192 3307\n32799 49040\n52100 78085\n56855 85229\n33407 49934\n10556 15838\n26883 40170\n867 1323\n56267 84340\n82533 100000\n24074 36007\n90411 100000\n21711 32460\n14896 22305\n50788 76079\n76912 100000\n48586 72763\n91938 100000\n9310 13970\n96912 100000\n45064 67437\n95590 100000\n55891 83783\n18220 27263\n2452 3701\n30895 46186\n15854 23735\n43196 64630\n37781 56498\n35079 52440\n20697 30950\n36803 55017\n18791 28110\n41044 61432\n14797 22149\n83265 100000\n29649 44302\n96857 100000\n37228 55671\n27464 41033\n66925 100000\n14690 21992\n67285 100000\n91301 100000\n28147 42058\n31218 46673\n17778 26594\n79986 100000\n65952 98929\n60318 90482\n77314 100000\n45920 68741\n33848 50582\n34554 51663\n46074 68972\n63083 94624\n57655 86464\n34913 52193\n1848 2780\n19092 28545\n98224 100000\n97290 100000\n56536 84758\n38313 57314\n43464 65030\n3566 5364\n76649 100000\n56684 84972\n29369 43870\n99489 100000\n1693 2558\n39322 58857\n70959 100000\n95355 100000\n84766 100000\n39196 58660\n38958 58299\n88444 100000\n56062 84042\n89657 100000\n82790 100000\n53995 80938\n34261 51210\n51860 77723\n21626 32332\n9167 13755\n32220 48184\n7298 10925\n84352 100000\n45098 67488\n54147 81171\n59249 88850\n5828 8725\n20291 30347\n46071 68967\n90565 100000\n35946 53735\n22138 33088\n38917 58232\n94645 100000\n98489 100000\n41492 62092\n847 1287\n17314 25907\n68556 100000\n20285 30336\n54039 81008\n85108 100000\n9775 14668\n84127 100000\n72563 100000\n28006 41847\n17857 26717\n88135 100000\n46782 70044\n62212 93343\n85002 100000\n95187 100000\n72018 100000\n92168 100000\n37148 55550\n6018 9013\n92143 100000\n33500 50074\n27451 41015\n72902 100000\n92303 100000\n5082 7634\n61612 92422\n35883 53639\n81276 100000\n16099 24107\n91205 100000\n54379 81515\n22070 32988\n55006 82476\n51894 77769\n86306 100000\n6153 9212\n34517 51605\n24922 37239\n23551 35217\n4646 6986\n74603 100000\n94993 100000\n60564 90849\n88339 100000\n62355 93556\n43128 64531\n3751 5640\n35865 53613\n3998 6029\n43228 64682\n71086 100000\n37485 56049\n64768 97142\n27507 41097\n79597 100000\n58097 87139\n89113 100000\n96572 100000\n91261 100000\n87992 100000\n35838 53575\n17491 26169\n20556 30746\n93908 100000\n6499 9713\n63456 95182\n2599 3918\n49750 74537\n75699 100000\n87545 100000\n33037 49393\n32518 48619\n48546 72699\n88271 100000\n71459 100000\n67235 100000\n86177 100000\n74568 100000\n15483 23180\n78229 100000\n42595 63730\n35216 52640\n74 113\n49304 73858\n78523 100000\n8403 12579\n73123 100000\n34299 51265\n16509 24698\n53498 80187\n94745 100000\n65751 98631\n57427 86113\n20459 30602\n99 152\n17832 26676\n35475 53031\n58636 87945\n72951 100000\n449 677\n94615 100000\n49096 73535\n38634 57813\n7299 10927\n20587 30791\n67385 100000\n96396 100000\n29286 43752\n5982 8952\n55246 82828\n54640 81912\n25276 37764\n10911 16362\n20662 30897\n44786 67020\n4917 7390\n65032 97537\n58522 87782\n35815 53542\n44552 66673\n71218 100000\n57656 86466\n51516 77192\n7731 11572\n78832 100000\n49023 73417\n6592 9856\n12935 19389\n56530 84747\n90555 100000\n20340 30417\n23663 35382\n22500 33631\n10756 16135\n20946 31308\n83525 100000\n18562 27769\n74193 100000\n81 123\n43577 65206\n31155 46584\n50237 75265\n54469 81650\n15831 23699\n21713 32463\n81406 100000\n84568 100000\n61513 92281\n26613 39778\n4067 6124\n73836 100000\n36081 53943\n32869 49139\n10057 15088\n62911 94375\n16174 24218\n48988 73366\n26064 38951\n98977 100000\n15582 23332\n1750 2636\n25566 38193\n58422 87633\n28712 42901\n45374 67909\n84207 100000\n72014 100000\n73254 100000\n16764 25075\n13123 19665\n35416 52946\n98251 100000\n2870 4326\n39787 59552\n80746 100000\n32416 48470\n25051 37421\n21310 31854\n70890 100000\n58922 88368\n74037 100000\n42676 63855\n70234 100000\n13940 20876\n66201 99320\n90685 100000\n39593 59256\n56249 84314\n1920 2888\n13681 20490\n49119 73573\n69958 100000\n53972 80900\n75634 100000\n99749 100000\n98290 100000\n75535 100000\n81167 100000\n25329 37840\n29257 43713\n66013 99025\n61185 91786\n26678 39868\n38125 57023\n68975 100000\n96906 100000\n33228 49677\n85153 100000\n79309 100000\n92247 100000\n55850 83724\n30249 45211\n6733 10074\n17870 26738\n10654 15985\n52823 79173\n7978 11948\n5113 7677\n49905 74769\n42444 63508\n2839 4281\n18825 28158\n2412 3642\n83619 100000\n7068 10571\n18675 27935\n63192 94787\n70253 100000\n12733 19089\n54491 81686\n39480 59087\n56080 84068\n69831 100000\n59537 89298\n61581 92380\n36283 54244\n69822 100000\n82473 100000\n30220 45167\n53603 80349\n79401 100000\n65850 98774\n27597 41234\n38420 57475\n28985 43308\n93333 100000\n61853 92790\n64366 96537\n2477 3739\n27872 41646\n6186 9258\n48620 72816\n77330 100000\n67784 100000\n8400 12575\n98463 100000\n850 1292\n87900 100000\n40870 61167\n94839 100000\n53232 79776\n14010 20985\n4205 6331\n65117 97665\n13111 19648\n41260 61755\n76131 100000\n65711 98567\n9172 13764\n90410 100000\n11059 16580\n6029 9028\n58714 88065\n37932 56728\n62405 93623\n31961 47790\n30832 46096\n6896 10312\n51706 77478\n40698 60909\n24362 36425\n79326 100000\n35658 53305\n45101 67491\n14841 22219\n41796 62534\n3127 4718\n34462 51515\n86641 100000\n8333 12474\n45995 68854\n85592 100000\n42620 63768\n35711 53390\n84000 100000\n41833 62586\n75342 100000\n35383 52892\n21481 32113\n53964 80889\n44535 66649\n73752 100000\n80444 100000\n4196 6317\n47140 70583\n74077 100000\n44810 67052\n27916 41712\n17534 26230\n91204 100000\n2069 3117\n40984 61341\n20257 30298\n60914 91373\n75520 100000\n29313 43788\n54591 81831\n97904 100000\n12996 19480\n78110 100000\n96870 100000\n63982 95966\n31040 46410\n23796 35585\n15014 22475\n3156 4756\n24386 36455\n83425 100000\n17470 26136\n64419 96608\n85726 100000\n62058 93103\n84480 100000\n36837 55071\n44665 66844\n1799 2706\n68295 100000\n88441 100000\n95279 100000\n85644 100000\n67821 100000\n56310 84412\n3491 5258\n50641 75868\n68484 100000\n17734 26528\n89648 100000\n74778 100000\n49342 73918\n91062 100000\n96713 100000\n11599 17389\n16515 24709\n71977 100000\n74103 100000\n95700 100000\n84277 100000\n55954 83881\n92663 100000\n17823 26659\n951 1451\n10653 15984\n38276 57259\n15945 23875\n4345 6531\n9748 14624\n92984 100000\n27200 40641\n84910 100000\n5684 8515\n37134 55526\n75439 100000\n84144 100000\n67706 100000\n54380 81517\n74779 100000\n28416 42455\n13916 20839\n42686 63869\n93015 100000\n51954 77865\n29455 43997\n65170 97747\n75463 100000\n55584 83326\n83859 100000\n51580 77287\n49694 74452\n36073 53932\n41964 62780\n92102 100000\n64676 97003\n38925 58247\n47945 71802\n21722 32474\n319 476\n19901 29753\n50628 75850\n45769 68509\n5614 8415\n79981 100000\n16246 24326\n62243 93391\n25752 38470\n38438 57506\n39564 59216\n34845 52091\n91059 100000\n16051 24036\n80213 100000\n70968 100000\n87477 100000\n73798 100000\n96630 100000\n37943 56745\n92033 100000\n40283 60277\n78085 100000\n91624 100000\n42337 63352\n12263 18392\n25391 37941\n75625 100000\n61712 92577\n14580 21833\n71209 100000\n33021 49368\n26742 39964\n3573 5374\n56737 85051\n93409 100000\n7793 11665\n70621 100000\n64563 96834\n38853 58134\n26732 39949\n70838 100000\n74391 100000\n94551 100000\n41832 62584\n31179 46616\n54594 81836\n73748 100000\n28845 43104\n10740 16113\n67585 100000\n31520 47134\n2382 3596\n68748 100000\n47448 71059\n45545 68168\n33867 50609\n30720 45926\n50079 75022\n52762 79084\n24109 36058\n61901 92866\n82305 100000\n4797 7217\n80895 100000\n23735 35489\n35070 52428\n33200 49635\n37770 56480\n93669 100000\n30618 45765\n41102 61519\n49887 74741\n81491 100000\n2463 3717\n9701 14551\n864 1317\n43953 65781\n95513 100000\n29289 43757\n73049 100000\n72788 100000\n79641 100000\n29958 44776\n87598 100000\n36923 55199\n54670 81959\n77221 100000\n55016 82490\n95964 100000\n38393 57437\n87379 100000\n27821 41567\n82220 100000\n20506 30677\n49729 74506\n1623 2458\n55752 83584\n65509 98264\n19336 28910\n58852 88265\n76265 100000\n65609 98416\n33232 49683\n61760 92648\n46026 68902\n3019 4550\n28931 43229\n19412 29029\n55798 83648\n81008 100000\n1197 1823\n33930 50701\n75872 100000\n55073 82575\n16061 24051\n27703 41384\n92595 100000\n76259 100000\n27867 41638\n23365 34939\n4276 6430\n7211 10791\n12734 19091\n66674 100000\n52351 78464\n9565 14342\n85186 100000\n41000 61366\n37240 55686\n41443 62024\n10087 15134\n26360 39405\n87798 100000\n81382 100000\n86688 100000\n46522 69656\n68121 100000\n97114 100000\n81322 100000\n81441 100000\n47647 71351\n30364 45387\n8051 12055\n68938 100000\n35162 52560\n12337 18505\n48144 72103\n52136 78142\n33122 49523\n68962 100000\n79199 100000\n66351 99542\n71730 100000\n8062 12070\n57179 85736\n96358 100000\n90445 100000\n98074 100000\n80114 100000\n70100 100000\n85472 100000\n47091 70505\n89684 100000\n44131 66046\n45904 68714\n37714 56398\n84732 100000\n6662 9966\n95691 100000\n69955 100000\n33513 50091\n45625 68290\n41820 62568\n25584 38217\n8173 12236\n29700 44383\n66601 99934\n64820 97217\n95607 100000\n92273 100000\n96092 100000\n95766 100000\n11653 17474\n32759 48980\n23683 35413\n90489 100000\n87170 100000\n86651 100000\n61882 92836\n3320 4997\n48734 72984\n3041 4581\n46980 70336\n91925 100000\n29724 44421\n90120 100000\n19326 28896\n50904 76261\n81207 100000\n54609 81861\n44172 66106\n77271 100000\n70974 100000\n7609 11391\n70341 100000\n48334 72380\n29556 44149\n65477 98216\n98904 100000\n56036 84002\n19273 28820\n87316 100000\n67194 100000\n78475 100000\n77250 100000\n1962 2952\n22696 33934\n30211 45155\n58703 88048\n51934 77832\n47027 70406\n55642 83415\n92013 100000\n86119 100000\n43903 65708\n20283 30332\n49995 74897\n81309 100000\n97538 100000\n667 1019\n28296 42287\n15941 23867\n38198 57139\n44402 66452\n15482 23179\n33477 50043\n57219 85797\n88378 100000\n33144 49556\n23413 35008\n6494 9705\n94608 100000\n7312 10944\n21585 32272\n87154 100000\n81507 100000\n78844 100000\n13949 20890\n21234 31747\n82334 100000\n56493 84692\n30215 45161\n76851 100000\n13098 19629\n75693 100000\n89435 100000\n4119 6200\n836 1268\n56432 84600\n92377 100000\n18828 28162\n32199 48155\n98045 100000\n84597 100000\n76350 100000\n31613 47274\n82995 100000\n95115 100000\n12174 18258\n14215 21298\n20987 31373\n23637 35341\n57984 86971\n38932 58259\n43839 65607\n9288 13936\n29569 44170\n59534 89292\n8197 12275\n35108 52483\n40082 59986\n46013 68882\n10566 15857\n36630 54763\n5176 7773\n46941 70280\n60859 91290\n60663 90996\n29604 44223\n57586 86359\n4327 6504\n91223 100000\n799 1213\n46514 69645\n44049 65921\n99562 100000\n25612 38261\n78870 100000\n20450 30588\n24962 37294\n87997 100000\n57921 86875\n45720 68435\n85104 100000\n21375 31951\n18603 27828\n3203 4831\n51064 76504\n54756 82092\n14885 22287\n18432 27582\n51851 77710\n38628 57803\n22089 33018\n95661 100000\n40477 60579\n60166 90249\n35858 53601\n44138 66054\n60196 90297\n83902 100000\n43145 64553\n81641 100000\n2470 3728\n95662 100000\n29693 44371\n90745 100000\n58470 87702\n31947 47770\n80219 100000\n39565 59218\n58615 87915\n17890 26768\n42521 63619\n48001 71889\n61022 91529\n23790 35575\n71859 100000\n26489 39598\n49403 74013\n12830 19234\n82357 100000\n10029 15046\n36975 55279\n73387 100000\n57497 86222\n58109 87156\n72592 100000\n3290 4957\n66820 100000\n27673 41343\n55277 82875\n66451 99698\n9275 13917\n46856 70159\n31682 47388\n78700 100000\n40858 61150\n38418 57472\n94921 100000\n6489 9697\n37693 56364\n14652 21931\n11014 16516\n44001 65851\n81650 100000\n42383 63422\n7223 10811\n97880 100000\n25552 38173\n93223 100000\n50897 76251\n52153 78163\n12115 18178\n77228 100000\n98123 100000\n76431 100000\n33858 50596\n7256 10863\n16524 24726\n18966 28368\n4541 6829\n90123 100000\n58974 88442\n64234 96342\n29179 43595\n10587 15886\n18136 27139\n22263 33268\n2219 3347\n20590 30795\n85537 100000\n58574 87856\n57493 86214\n22118 33060\n44340 66360\n62 93\n20467 30614\n15301 22912\n9643 14458\n86913 100000\n6460 9658\n54832 82206\n56426 84592\n88051 100000\n96940 100000\n26483 39588\n62387 93601\n28075 41950\n24270 36292\n43276 64751\n58904 88342\n57011 85467\n75768 100000\n59184 88754\n11762 17634\n15953 23887\n67041 100000\n96103 100000\n25075 37461\n76277 100000\n58429 87643\n49222 73735\n34103 50972\n10951 16424\n34582 51706\n85931 100000\n64605 96901\n41208 61678\n66224 99349\n25900 38698\n78024 100000\n21773 32552\n49963 74848\n56711 85011\n94731 100000\n30265 45235\n30099 44984\n21313 31858\n23740 35498\n7569 11334\n57934 86894\n19938 29805\n25965 38797\n48145 72104\n88190 100000\n15292 22897\n4288 6446\n23343 34907\n89333 100000\n88231 100000\n19705 29462\n4252 6398\n60824 91239\n91044 100000\n69904 100000\n5401 8103\n96689 100000\n23616 35312\n16644 24896\n68994 100000\n2586 3896\n75926 100000\n44968 67290\n21434 32043\n95740 100000\n39490 59102\n17820 26655\n17362 25977\n65044 97555\n36004 53820\n13957 20904\n43400 64938\n15679 23484\n96397 100000\n25242 37708\n8629 12919\n1102 1683\n12098 18152\n6553 9796\n28218 42172\n90431 100000\n67818 100000\n6486 9693\n41621 62281\n87569 100000\n53098 79579\n78955 100000\n2637 3974\n49349 73930\n39535 59167\n41691 62383\n65186 97773\n16956 25362\n3430 5164\n33813 50530\n21482 32114\n60279 90423\n67533 100000\n93420 100000\n53832 80687\n78413 100000\n66696 100000\n92347 100000\n18058 27027\n63573 95352\n19428 29055\n65931 98898\n91727 100000\n53001 79432\n91045 100000\n9360 14045\n39115 58531\n21813 32614\n33681 50339\n30167 45084\n32645 48809\n52942 79345\n46166 69108\n75565 100000\n25679 38361\n21661 32384\n2743 4136\n55942 83865\n27997 41833\n95151 100000\n49722 74495\n11592 17379\n61974 92976\n38459 57539\n35235 52670\n86916 100000\n21931 32784\n30125 45020\n83642 100000\n85799 100000\n48139 72095\n15199 22752\n85708 100000\n33928 50698\n52770 79094\n72338 100000\n62502 93759\n69096 100000\n22401 33479\n83290 100000\n5067 7608\n22933 34286\n64627 96934\n3889 5855\n76029 100000\n90176 100000\n8214 12297\n45165 67591\n62357 93558\n34319 51297\n67422 100000\n77239 100000\n20186 30184\n73461 100000\n14364 21514\n30351 45364\n48094 72025\n87077 100000\n17173 25693\n48413 72497\n27149 40569\n20404 30516\n96453 100000\n29177 43593\n36585 54699\n83403 100000\n59449 89164\n59874 89803\n13300 19931\n77603 100000\n28684 42858\n99230 100000\n90630 100000\n19520 29178\n31202 46648\n35352 52850\n34623 51767\n74206 100000\n56442 84614\n21624 32330\n70006 100000\n85653 100000\n61553 92338\n13274 19891\n86138 100000\n62110 93189\n59244 88842\n7754 11607\n58905 88344\n92552 100000\n6751 10100\n56045 84016\n76023 100000\n92959 100000\n96143 100000\n9138 13710\n30766 45999\n46673 69885\n50968 76361\n69891 100000\n15816 23680\n77662 100000\n73787 100000\n52633 78889\n26159 39094\n20215 30228\n21942 32798\n44120 66030\n68973 100000\n74914 100000\n78900 100000\n79316 100000\n28303 42295\n37252 55703\n9405 14106\n56434 84603\n66337 99520\n38366 57393\n8482 12696\n89816 100000\n43495 65078\n15039 22514\n73274 100000\n34578 51700\n83104 100000\n29122 43508\n45296 67795\n18285 27360\n23899 35741\n5154 7738\n63242 94861\n36863 55111\n35901 53665\n3591 5399\n35790 53504\n48902 73235\n57987 86976\n33575 50189\n38116 57011\n32390 48434\n73630 100000\n10651 15981\n17480 26153\n89195 100000\n48646 72852\n29910 44703\n74440 100000\n43429 64980\n60706 91062\n64641 96953\n81117 100000\n59975 89961\n66392 99607\n47092 70506\n1539 2329\n62398 93614\n20733 31000\n18747 28043\n15608 23375\n77081 100000\n40558 60701\n93277 100000\n89325 100000\n97604 100000\n92382 100000\n82554 100000\n51970 77884\n96059 100000\n99509 100000\n60677 91017\n20080 30027\n48434 72526\n18716 27997\n97135 100000\n5791 8671\n5414 8121\n24345 36402\n5638 8451\n73192 100000\n35420 52952\n19525 29185\n42222 63171\n11872 17798\n69928 100000\n13642 20438\n73317 100000\n31745 47472\n14435 21621\n91016 100000\n96375 100000\n95389 100000\n69145 100000\n53660 80439\n89899 100000\n93430 100000\n94478 100000\n79661 100000\n41770 62494\n83896 100000\n3190 4811\n82027 100000\n92581 100000\n96078 100000\n30084 44962\n47601 71284\n74555 100000\n55657 83435\n50033 74952\n24184 36166\n13044 19553\n57587 86361\n86393 100000\n84742 100000\n66689 100000\n829 1258\n98542 100000\n49966 74852\n68894 100000\n71771 100000\n6871 10277\n24808 37072\n55783 83630\n1634 2473\n3827 5759\n18882 28246\n82370 100000\n58638 87949\n68435 100000\n38508 57611\n63118 94679\n57858 86779\n99856 100000\n56557 84785\n29047 43402\n53295 79868\n48552 72707\n74311 100000\n49116 73568\n49591 74303\n29538 44125\n15090 22588\n2896 4367\n57306 85934\n29692 44370\n9441 14164\n55897 83793\n55678 83469\n43441 65000\n87857 100000\n69195 100000\n54982 82438\n69878 100000\n20352 30434\n90356 100000\n68931 100000\n84151 100000\n79260 100000\n36902 55172\n51192 76693\n60673 91012\n95705 100000\n26645 39823\n65623 98438\n52175 78191\n13359 20022\n46450 69546\n26750 39975\n91698 100000\n9406 14108\n24501 36620\n93867 100000\n89266 100000\n25169 37602\n75888 100000\n22354 33406\n77754 100000\n85173 100000\n21719 32471\n37860 56620\n79693 100000\n49528 74204\n64706 97051\n6895 10310\n36621 54750\n25487 38081\n54535 81750\n33499 50073\n46208 69171\n50567 75766\n50732 75996\n57065 85553\n26135 39057\n6776 10138\n795 1207\n35326 52812\n85491 100000\n86455 100000\n32182 48126\n61390 92099\n16950 25353\n65460 98190\n5714 8560\n5102 7662\n13763 20612\n45014 67360\n43468 65038\n93948 100000\n81250 100000\n54776 82121\n83487 100000\n18325 27415\n20911 31257\n26065 38953\n28305 42298\n18756 28057\n63598 95389\n31512 47120\n26593 39748\n71419 100000\n61634 92454\n60211 90317\n12032 18050\n69122 100000\n23588 35271\n5268 7907\n33644 50284\n84464 100000\n33517 50097\n88965 100000\n73636 100000\n73290 100000\n87100 100000\n23742 35500\n14600 21860\n88477 100000\n98014 100000\n91878 100000\n23321 34873\n39732 59471\n26790 40029\n87753 100000\n67588 100000\n4942 7427\n71916 100000\n29135 43528\n34581 51705\n11901 17845\n77950 100000\n91249 100000\n63485 95222\n93221 100000\n41525 62140\n64053 96071\n68103 100000\n40790 61049\n86144 100000\n42583 63713\n61413 92134\n44209 66160\n97959 100000\n97792 100000\n81586 100000\n93298 100000\n21655 32376\n27836 41593\n54961 82402\n61147 91724\n58941 88394\n3596 5406\n98617 100000\n56939 85360\n43515 65110\n60060 90090\n12029 18046\n85661 100000\n53581 80313\n21921 32768\n73624 100000\n18382 27507\n79608 100000\n60993 91484\n74108 100000\n38234 57195\n10522 15785\n35784 53494\n31137 46556\n63914 95859\n18350 27456\n99739 100000\n58488 87728\n30138 45039\n13466 20179\n91084 100000\n99466 100000\n90560 100000\n99195 100000\n97474 100000\n4303 6465\n95125 100000\n62201 93327\n71624 100000\n78464 100000\n66779 100000\n98753 100000\n35580 53187\n25341 37859\n92734 100000\n21641 32353\n91893 100000\n78456 100000\n25835 38598\n18876 28237\n66187 99299\n39806 59582\n88709 100000\n83625 100000\n18370 27487\n58446 87666\n98334 100000\n57760 86630\n77062 100000\n55081 82587\n2334 3522\n37668 56326\n57212 85785\n46790 70058\n38700 57911\n91183 100000\n85694 100000\n60484 90734\n44094 65988\n15944 23873\n21304 31846\n53989 80928\n71029 100000\n49901 74762\n29244 43695\n81460 100000\n3811 5734\n90739 100000\n75525 100000\n71179 100000\n22338 33380\n47226 70708\n60149 90225\n3991 6017\n29585 44194\n96217 100000\n39948 59789\n74843 100000\n19007 28424\n64200 96290\n69073 100000\n57448 86149\n13284 19904\n54933 82360\n56390 84536\n77901 100000\n56018 83973\n74110 100000\n58325 87483\n14774 22116\n60207 90312\n40777 61031\n13150 19705\n88503 100000\n9785 14679\n8989 13482\n80840 100000\n1041 1592\n14584 21838\n97692 100000\n79384 100000\n56459 84640\n50814 76121\n40706 60918\n40954 61293\n73548 100000\n13991 20956\n72399 100000\n23631 35335\n70668 100000\n69237 100000\n60548 90827\n87907 100000\n72077 100000\n49201 73699\n86707 100000\n34099 50966\n3656 5491\n16348 24468\n67994 100000\n56431 84599\n54599 81844\n5606 8405\n76345 100000\n31728 47449\n89337 100000\n85935 100000\n73454 100000\n1774 2669\n60734 91103\n6462 9661\n46732 69968\n86358 100000\n97048 100000\n8090 12112\n12441 18658\n47632 71327\n89423 100000\n93345 100000\n17175 25696\n87538 100000\n63837 95744\n58851 88264\n19057 28494\n11043 16557\n25392 37943\n63625 95432\n81200 100000\n68381 100000\n2945 4434\n45431 67996\n39926 59757\n20292 30348\n2039 3070\n908 1383\n91355 100000\n7517 11263\n51288 76841\n46569 69727\n25418 37984\n85553 100000\n79979 100000\n68711 100000\n35755 53452\n94470 100000\n12232 18349\n22365 33423\n66103 99165\n8308 12435\n36126 54014\n90901 100000\n75918 100000\n24912 37226\n89163 100000\n95297 100000\n51443 77082\n44895 67178\n64271 96395\n89417 100000\n33602 50230\n57740 86599\n31768 47504\n97601 100000\n7846 11744\n40321 60339\n97949 100000\n50386 75489\n34463 51516\n30251 45213\n83234 100000\n25432 38000\n13371 20039\n34949 52248\n47654 71362\n68838 100000\n69333 100000\n86090 100000\n24956 37287\n82185 100000\n158 239\n43619 65276\n84762 100000\n46223 69195\n97937 100000\n66543 99845\n5753 8617\n3990 6015\n81420 100000\n71694 100000\n85710 100000\n72327 100000\n38665 57858\n88247 100000\n42523 63621\n69221 100000\n29502 44066\n46944 70285\n24086 36023\n47518 71162\n35043 52386\n90190 100000\n1473 2231\n50900 76256\n5904 8838\n40794 61053\n40596 60760\n51136 76612\n33941 50719\n7257 10864\n9394 14088\n30390 45428\n16712 24999\n33511 50088\n14958 22395\n17789 26609\n22191 33167\n52471 78643\n39543 59180\n77770 100000\n85151 100000\n2824 4257\n43882 65675\n96331 100000\n61635 92456\n25434 38003\n36105 53983\n16250 24332\n66879 100000\n683 1038\n59281 88898\n48722 72966\n14400 21566\n53300 79876\n75517 100000\n12455 18676\n46953 70297\n15692 23503\n91876 100000\n11003 16499\n33147 49560\n40548 60686\n1887 2842\n54102 81102\n65899 98847\n17993 26932\n19611 29319\n70236 100000\n21529 32191\n47550 71213\n43630 65292\n20265 30309\n4990 7498\n88019 100000\n44951 67268\n25298 37794\n51126 76597\n45012 67356\n68579 100000\n63423 95135\n14046 21036\n8492 12713\n53699 80500\n60920 91380\n76258 100000\n58816 88212\n41300 61817\n59069 88580\n17615 26352\n63581 95365\n51203 76712\n82551 100000\n33826 50548\n27314 40812\n67426 100000\n51785 77607\n52480 78658\n14751 22081\n11845 17758\n44603 66756\n35016 52348\n14966 22406\n87208 100000\n26810 40063\n46235 69213\n19839 29657\n73939 100000\n88845 100000\n66933 100000\n8218 12302\n89317 100000\n40982 61337\n59782 89664\n91550 100000\n3061 4615\n4244 6385\n3586 5392\n39721 59456\n84551 100000\n77485 100000\n82596 100000\n223 335\n82747 100000\n74613 100000\n77019 100000\n25194 37639\n30428 45483\n85110 100000\n20289 30343\n3961 5970\n32490 48576\n89058 100000\n89625 100000\n75389 100000\n97645 100000\n85979 100000\n93321 100000\n70941 100000\n7530 11280\n26541 39672\n57805 86704\n3 5\n82675 100000\n1008 1543\n9626 14430\n34940 52236\n68837 100000\n22013 32903\n71566 100000\n2397 3618\n30095 44978\n61638 92461\n81361 100000\n31200 46645\n4815 7242\n35854 53595\n22788 34074\n96988 100000\n11738 17597\n26010 38865\n83574 100000\n70141 100000\n56366 84501\n93824 100000\n30820 46077\n35348 52844\n81908 100000\n4587 6897\n3411 5137\n32372 48408\n65040 97550\n30141 45044\n48083 72006\n78562 100000\n50177 75171\n5601 8398\n55261 82850\n46717 69949\n10437 15657\n58628 87933\n56299 84395\n54519 81723\n82214 100000\n59191 88764\n11488 17227\n56022 83980\n63751 95619\n29410 43929\n39996 59857\n14436 21623\n39290 58808\n46737 69976\n94018 100000\n23152 34617\n30770 46004\n23401 34989\n90080 100000\n50799 76098\n42427 63486\n73519 100000\n14806 22161\n7036 10521\n38363 57389\n76199 100000\n65484 98226\n51432 77068\n46940 70278\n87940 100000\n52428 78578\n27254 40721\n2225 3354\n83462 100000\n41066 61464\n71912 100000\n97120 100000\n69204 100000\n53887 80774\n1621 2455\n48975 73346\n78345 100000\n78484 100000\n59269 88878\n55724 83540\n18257 27318\n12639 18947\n23656 35372\n55451 83127\n26983 40323\n11765 17640\n80191 100000\n23320 34872\n52561 78786\n4641 6978\n67682 100000\n24242 36253\n6837 10229\n60516 90779\n25564 38189\n95105 100000\n53186 79708\n60177 90268\n45792 68543\n26290 39299\n74508 100000\n12551 18818\n19385 28984\n94273 100000\n72076 100000\n79565 100000\n7664 11473\n73731 100000\n88471 100000\n54210 81262\n71276 100000\n26795 40037\n86291 100000\n63537 95297\n1588 2407\n86572 100000\n17009 25442\n83131 100000\n5040 7572\n19431 29059\n96336 100000\n13876 20780\n45140 67553\n39417 58992\n23913 35763\n69342 100000\n56700 84994\n52599 78841\n39004 58367\n89558 100000\n21149 31619\n55551 83274\n85780 100000\n44672 66853\n38691 57896\n38944 58278\n76794 100000\n66399 99620\n51760 77562\n15741 23576\n87184 100000\n72099 100000\n13708 20529\n4609 6931\n5928 8871\n7221 10807\n83203 100000\n90107 100000\n10440 15660\n87442 100000\n17026 25466\n41075 61479\n88377 100000\n28342 42356\n9440 14163\n72031 100000\n81978 100000\n90725 100000\n25040 37404\n93296 100000\n65825 98738\n30545 45656\n70793 100000\n10818 16226\n1627 2464\n31943 47763\n22540 33696\n20984 31368\n33142 49553\n84571 100000\n14754 22085\n20997 31389\n11027 16533\n18431 27581\n85485 100000\n73339 100000\n47906 71749\n3180 4794\n57813 86716\n23330 34888\n51662 77410\n45604 68258\n72087 100000\n94178 100000\n36289 54254\n54162 81193\n83052 100000\n8814 13210\n91491 100000\n32299 48301\n14266 21372\n10375 15566\n11580 17360\n63600 95392\n44226 66183\n36261 54209\n84619 100000\n1259 1915\n33113 49508\n7867 11776\n90559 100000\n79792 100000\n92010 100000\n25626 38279\n28694 42874\n15261 22850\n75136 100000\n53111 79599\n67846 100000\n58885 88311\n60266 90402\n14132 21164\n10857 16278\n35978 53781\n19114 28581\n84115 100000\n4149 6249\n47133 70572\n21194 31688\n10879 16313\n36438 54487\n23798 35589\n43414 64957\n78857 100000\n80534 100000\n78719 100000\n8041 12039\n44886 67163\n87967 100000\n75924 100000\n76850 100000\n28261 42235\n84010 100000\n50945 76324\n34861 52113\n88191 100000\n6573 9823\n71738 100000\n89468 100000\n698 1058\n11902 17847\n12112 18174\n9877 14813\n19902 29755\n43591 65230\n53977 80908\n65417 98124\n31809 47562\n39395 58958\n6238 9336\n784 1193\n69387 100000\n76667 100000\n46508 69635\n82955 100000\n96633 100000\n31633 47308\n30822 46081\n22250 33250\n16502 24685\n26763 39994\n10670 16006\n21340 31899\n9671 14504\n90371 100000\n91952 100000\n90832 100000\n41288 61801\n58359 87536\n49382 73981\n78138 100000\n47637 71337\n69793 100000\n94231 100000\n23847 35660\n72308 100000\n8149 12203\n29532 44114\n38262 57239\n18130 27130\n72654 100000\n4049 6100\n87811 100000\n27590 41222\n28510 42584\n55999 83946\n29476 44028\n60644 90969\n12204 18309\n64742 97106\n56027 83988\n10095 15147\n14956 22393\n60558 90841\n24273 36297\n64233 96340\n77647 100000\n66246 99382\n73722 100000\n25535 38150\n80620 100000\n48481 72596\n63116 94676\n80118 100000\n25122 37531\n89800 100000\n2810 4238\n45947 68782\n22586 33766\n58245 87357\n56410 84569\n4265 6415\n97144 100000\n40332 60357\n17183 25709\n53641 80409\n43078 64452\n881 1344\n85960 100000\n96878 100000\n73034 100000\n83480 100000\n72191 100000\n61053 91578\n84359 100000\n39794 59563\n3815 5741\n22372 33433\n4959 7449\n85507 100000\n10746 16122\n84042 100000\n75538 100000\n97915 100000\n64284 96413\n80314 100000\n70256 100000\n25308 37809\n54394 81538\n86318 100000\n48349 72404\n81558 100000\n84563 100000\n7930 11873\n17902 26788\n62796 94194\n83588 100000\n14278 21393\n8891 13326\n11640 17451\n93851 100000\n36996 55313\n67972 100000\n84734 100000\n58310 87457\n4627 6958\n21949 32809\n1255 1909\n70623 100000\n81305 100000\n56693 84985\n48887 73209\n57782 86666\n99399 100000\n80023 100000\n14085 21092\n1728 2606\n87589 100000\n28255 42226\n62221 93357\n99861 100000\n93647 100000\n86718 100000\n84233 100000\n37191 55615\n79368 100000\n66090 99144\n7078 10587\n32719 48918\n69109 100000\n86471 100000\n61855 92793\n78626 100000\n39236 58727\n96347 100000\n93344 100000\n37547 56138\n1684 2544\n19289 28842\n54597 81842\n53171 79687\n90863 100000\n62520 93786\n78195 100000\n26852 40122\n23673 35398\n74636 100000\n64936 97392\n21925 32774\n63910 95853\n90895 100000\n43883 65677\n20448 30585\n61309 91980\n93559 100000\n92092 100000\n95824 100000\n2422 3655\n83652 100000\n97415 100000\n48963 73328\n50541 75723\n1765 2657\n44063 65942\n43423 64971\n92241 100000\n9069 13607\n27365 40886\n14800 22155\n49197 73692\n67241 100000\n50675 75918\n48595 72779\n75476 100000\n40960 61303\n2763 4166\n3185 4803\n26542 39674\n33831 50555\n83799 100000\n32628 48786\n236 358\n28900 43186\n17273 25844\n40051 59939\n15299 22908\n78627 100000\n3969 5981\n6643 9938\n41106 61525\n24154 36123\n95354 100000\n95191 100000\n77582 100000\n60365 90549\n50367 75462\n47694 71420\n25041 37406\n8510 12737\n77811 100000\n7629 11417\n83926 100000\n81843 100000\n94034 100000\n6240 9338\n58713 88063\n30444 45508\n60272 90411\n95807 100000\n7268 10880\n79286 100000\n51957 77868\n34508 51591\n78751 100000\n10196 15294\n16604 24840\n66339 99522\n33012 49354\n25615 38265\n20248 30282\n22702 33944\n57481 86195\n77304 100000\n90959 100000\n59584 89368\n88409 100000\n41229 61710\n76546 100000\n71195 100000\n73710 100000\n51031 76454\n87461 100000\n91829 100000\n13675 20481\n15520 23238\n69311 100000\n28344 42359\n86646 100000\n95907 100000\n83258 100000\n9951 14926\n90382 100000\n75669 100000\n90186 100000\n31582 47223\n83508 100000\n98438 100000\n39814 59592\n43519 65117\n93746 100000\n97941 100000\n87298 100000\n44835 67088\n18019 26972\n91774 100000\n93614 100000\n296 445\n26195 39151\n90214 100000\n22333 33372\n41018 61395\n15027 22496\n82719 100000\n77886 100000\n99601 100000\n26056 38938\n45736 68457\n92038 100000\n88256 100000\n36246 54186\n9269 13908\n67877 100000\n37052 55404\n63294 94941\n20909 31254\n77573 100000\n79016 100000\n73380 100000\n38835 58109\n51734 77522\n77175 100000\n16968 25380\n66188 99301\n4471 6720\n94961 100000\n83643 100000\n14245 21342\n9294 13945\n37871 56638\n3816 5743\n78980 100000\n31499 47099\n60399 90597\n20392 30498\n12290 18435\n12557 18824\n9987 14979\n58742 88104\n44605 66758\n28094 41979\n77853 100000\n70661 100000\n77805 100000\n71231 100000\n73351 100000\n42086 62964\n40693 60902\n99185 100000\n49666 74410\n71185 100000\n24470 36575\n47570 71241\n9934 14901\n71818 100000\n35363 52866\n31437 47005\n6127 9175\n37157 55563\n85840 100000\n63450 95175\n6718 10051\n34646 51800\n49258 73794\n82807 100000\n63085 94627\n28553 42650\n65563 98343\n36822 55045\n96950 100000\n70655 100000\n53548 80262\n20897 31235\n75790 100000\n45292 67787\n98292 100000\n94405 100000\n47963 71830\n81502 100000\n47110 70533\n3401 5121\n27942 41751\n90915 100000\n20343 30422\n82707 100000\n54768 82110\n27781 41507\n42551 63665\n52891 79268\n45863 68651\n15576 23323\n1860 2799\n64588 96871\n35890 53649\n88216 100000\n98729 100000\n53841 80701\n80027 100000\n75287 100000\n9932 14898\n26821 40078\n7885 11805\n53749 80571\n75796 100000\n61864 92807\n93030 100000\n10822 16230\n40115 60035\n2645 3987\n66438 99679\n56816 85168\n98826 100000\n66331 99511\n37351 55851\n97528 100000\n63776 95656\n50893 76243\n51447 77086\n47835 71637\n51541 77228\n8078 12095\n34600 51731\n39552 59197\n41864 62634\n98457 100000\n81568 100000\n84769 100000\n89921 100000\n40259 60243\n45641 68312\n35735 53422\n39300 58822\n6822 10205\n72142 100000\n77370 100000\n2434 3673\n86133 100000\n20355 30439\n40868 61165\n42548 63659\n11696 17537\n5794 8675\n27724 41420\n40411 60482\n67365 100000\n31325 46838\n83914 100000\n63781 95664\n95784 100000\n79285 100000\n52453 78617\n6924 10354\n68641 100000\n54104 81106\n70836 100000\n7059 10557\n44985 67316\n26741 39962\n48114 72056\n70350 100000\n35674 53330\n5991 8968\n54217 81273\n35238 52674\n33209 49650\n38556 57688\n23228 34734\n5382 8075\n52115 78108\n6468 9669\n23104 34549\n15989 23941\n74201 100000\n8033 12027\n25782 38517\n64802 97191\n49240 73763\n76445 100000\n12433 18644\n83440 100000\n53430 80081\n41384 61941\n69788 100000\n66301 99470\n70998 100000\n72416 100000\n43281 64759\n87842 100000\n532 808\n83006 100000\n4488 6746\n62397 93613\n76691 100000\n90904 100000\n8806 13199\n88491 100000\n72650 100000\n27847 41607\n90216 100000\n57366 86020\n48358 72418\n69886 100000\n10606 15914\n46027 68904\n12630 18935\n80928 100000\n86556 100000\n25643 38302\n46386 69444\n35073 52431\n97865 100000\n59433 89139\n72551 100000\n65972 98962\n82297 100000\n29239 43686\n3177 4789\n7882 11800\n31667 47365\n68094 100000\n98861 100000\n84854 100000\n83680 100000\n17680 26450\n96697 100000\n38984 58337\n98875 100000\n22934 34288\n31991 47834\n87680 100000\n28588 42703\n45315 67820\n3787 5694\n41597 62247\n17708 26489\n64773 97147\n86193 100000\n28085 41966\n56671 84954\n2270 3423\n18040 27001\n12086 18131\n28035 41891\n47513 71153\n6720 10054\n97161 100000\n80460 100000\n39602 59269\n1758 2648\n74686 100000\n19893 29742\n36986 55296\n79161 100000\n23285 34817\n4929 7409\n82562 100000\n37697 56370\n22550 33711\n89013 100000\n24894 37201\n37262 55719\n92323 100000\n22839 34147\n22028 32924\n37251 55702\n60229 90346\n56804 85150\n10110 15167\n11838 17747\n54601 81847\n10827 16235\n69707 100000\n28969 43288\n39145 58577\n57589 86363\n23060 34479\n96175 100000\n60363 90547\n87403 100000\n28106 41998\n53698 80498\n53900 80793\n76981 100000\n64618 96921\n83332 100000\n76240 100000\n79838 100000\n22437 33537\n57521 86261\n5396 8094\n13037 19540\n59865 89788\n68099 100000\n58770 88145\n74520 100000\n74441 100000\n31439 47009\n55751 83583\n17216 25762\n76833 100000\n50326 75401\n23140 34599\n5412 8119\n79888 100000\n1093 1671\n29031 43380\n57828 86735\n90416 100000\n8031 12023\n56365 84500\n34571 51689\n83467 100000\n2423 3656\n95695 100000\n59540 89302\n48860 73171\n66648 100000\n36160 54062\n39962 59808\n95340 100000\n92558 100000\n7097 10614\n91052 100000\n47870 71691\n43271 64743\n95476 100000\n74834 100000\n30033 44887\n52596 78836\n75384 100000\n43829 65592\n8750 13110\n44533 66647\n58153 87214\n50594 75805\n87734 100000\n18495 27672\n11541 17304\n1504 2280\n98209 100000\n71924 100000\n36613 54742\n26512 39632\n68955 100000\n32261 48243\n77827 100000\n12618 18918\n26556 39696\n15722 23547\n99814 100000\n65611 98418\n46750 69995\n33479 50046\n47931 71784\n22379 33443\n3481 5245\n3825 5755\n81723 100000\n52464 78632\n78708 100000\n71113 100000\n22348 33395\n37704 56381\n77389 100000\n46883 70196\n7531 11282\n7820 11705\n19557 29236\n91013 100000\n24087 36024\n94092 100000\n55845 83717\n51563 77260\n2899 4370\n42244 63203\n48482 72598\n91986 100000\n86978 100000\n6286 9408\n47420 71017\n79022 100000\n8297 12420\n70592 100000\n91282 100000\n77399 100000\n73128 100000\n11558 17327\n21615 32316\n72774 100000\n8434 12623\n18566 27774\n49386 73987\n67375 100000\n59071 88583\n60299 90452\n83862 100000\n81269 100000\n91806 100000\n45653 68330\n35115 52495\n70171 100000\n92551 100000\n81730 100000\n35226 52656\n77518 100000\n6330 9476\n2787 4204\n60034 90053\n84994 100000\n8974 13459\n38188 57123\n58335 87499\n17390 26018\n1735 2613\n86929 100000\n19309 28872\n27752 41462\n77512 100000\n28616 42749\n96926 100000\n27561 41178\n36156 54055\n98632 100000\n59181 88750\n38699 57909\n3195 4819\n66496 99766\n19650 29379\n4142 6236\n36641 54779\n40878 61179\n69803 100000\n81716 100000\n46479 69591\n85159 100000\n31549 47176\n1723 2601\n42702 63893\n40164 60110\n31411 46965\n76704 100000\n96186 100000\n53392 80021\n19673 29413\n11706 17554\n9952 14927\n22774 34055\n67525 100000\n74816 100000\n13380 20053\n47519 71164\n82694 100000\n95614 100000\n8316 12449\n63493 95233\n13440 20141\n15824 23690\n50563 75759\n27216 40662\n99847 100000\n17703 26481\n50941 76318\n90361 100000\n98576 100000\n4385 6590\n63713 95566\n24992 37338\n90217 100000\n38851 58132\n99902 100000\n26044 38919\n5003 7519\n49134 73595\n28136 42041\n26738 39958\n75307 100000\n51354 76947\n33736 50421\n89069 100000\n13862 20761\n64740 97103\n16679 24948\n21919 32765\n51591 77305\n91081 100000\n44664 66842\n72101 100000\n23562 35231\n31857 47631\n33783 50485\n81930 100000\n44308 66310\n85502 100000\n99430 100000\n78239 100000\n17439 26090\n47156 70609\n37246 55695\n98488 100000\n41356 61903\n91231 100000\n69892 100000\n30408 45452\n82927 100000\n56264 84336\n95186 100000\n55577 83315\n21455 32075\n29866 44634\n69501 100000\n2047 3085\n89965 100000\n97035 100000\n6062 9077\n70853 100000\n79387 100000\n51514 77188\n62697 94046\n8281 12397\n73469 100000\n91493 100000\n75848 100000\n51291 76845\n54240 81308\n74918 100000\n55852 83726\n97836 100000\n91797 100000\n93713 100000\n30031 44885\n112 171\n1212 1846\n42336 63351\n70249 100000\n57235 85821\n9558 14330\n78557 100000\n66359 99553\n49437 74066\n35152 52546\n51792 77621\n24662 36860\n35660 53307\n72575 100000\n33962 50755\n6287 9409\n34567 51683\n97409 100000\n88032 100000\n64925 97376\n49317 73878\n97849 100000\n86269 100000\n16814 25146\n90512 100000\n15228 22793\n43284 64764\n74811 100000\n5098 7656\n42117 63011\n21880 32706\n20092 30042\n55377 83018\n54365 81497\n60757 91140\n35985 53793\n17976 26904\n6839 10232\n15738 23571\n7170 10728\n99461 100000\n70584 100000\n99402 100000\n58041 87050\n22170 33137\n76753 100000\n41919 62716\n6536 9771\n6006 8992\n41713 62413\n94864 100000\n35482 53043\n75794 100000\n13784 20644\n58847 88256\n20814 31119\n59578 89359\n36611 54738\n1916 2882\n64340 96500\n99321 100000\n1755 2644\n67734 100000\n89862 100000\n94626 100000\n98116 100000\n53622 80378\n55270 82864\n45131 67540\n86426 100000\n76597 100000\n76163 100000\n34731 51928\n38027 56873\n48690 72919\n63552 95321\n42194 63131\n68565 100000\n23523 35179\n8069 12082\n9721 14581\n89269 100000\n25256 37732\n32805 49051\n83359 100000\n2686 4048\n478 723\n43512 65105\n59470 89196\n60601 90902\n80750 100000\n91479 100000\n14003 20974\n58084 87118\n87884 100000\n30897 46188\n27404 40946\n13445 20147\n26510 39630\n74051 100000\n12057 18089\n28857 43122\n13910 20830\n46176 69124\n8487 12704\n41150 61588\n59808 89705\n46262 69257\n11321 16974\n64491 96718\n19484 29129\n33532 50119\n63068 94602\n75640 100000\n83623 100000\n18454 27615\n23430 35036\n41695 62388\n69856 100000\n25893 38687\n81041 100000\n33721 50398\n64890 97324\n48040 71944\n28738 42935\n69446 100000\n33123 49525\n83073 100000\n37337 55830\n17604 26335\n34605 51739\n2212 3338\n95019 100000\n96256 100000\n11740 17601\n20762 31043\n8274 12385\n79558 100000\n91136 100000\n72968 100000\n32732 48937\n66977 100000\n88592 100000\n50037 74959\n37188 55610\n3879 5842\n60568 90854\n99580 100000\n56001 83950\n32661 48835\n25898 38695\n75858 100000\n45147 67563\n79617 100000\n49970 74857\n70795 100000\n49108 73553\n7054 10549\n78230 100000\n7435 11128\n7878 11793\n27718 41409\n46150 69082\n44374 66411\n48821 73112\n86660 100000\n95130 100000\n42254 63221\n38646 57831\n13276 19893\n55058 82553\n3634 5457\n60746 91123\n35014 52344\n22875 34201\n9232 13857\n28248 42217\n42112 63004\n27080 40471\n51637 77374\n40201 60166\n2745 4139\n22940 34298\n17234 25786\n35331 52820\n13139 19690\n96981 100000\n18568 27778\n89746 100000\n88010 100000\n19158 28646\n4605 6923\n17720 26506\n78418 100000\n51985 77909\n241 365\n22802 34094\n14991 22441\n86643 100000\n19906 29759\n56472 84661\n77743 100000\n85044 100000\n81714 100000\n84801 100000\n16980 25398\n6450 9645\n1243 1892\n74159 100000\n89275 100000\n19741 29513\n10422 15637\n13815 20691\n88155 100000\n80852 100000\n33164 49584\n85087 100000\n14871 22264\n98686 100000\n98572 100000\n17295 25879\n78834 100000\n49011 73399\n85316 100000\n21152 31624\n38755 57992\n10266 15407\n9488 14233\n76916 100000\n29681 44353\n10078 15121\n79957 100000\n98083 100000\n35506 53079\n23119 34572\n86326 100000\n35139 52525\n74026 100000\n43420 64966\n12066 18103\n11604 17396\n46837 70131\n39062 58456\n89234 100000\n36483 54548\n17502 26185\n76080 100000\n26151 39082\n82892 100000\n60086 90129\n81953 100000\n99010 100000\n23073 34500\n98263 100000\n95851 100000\n2451 3700\n20578 30778\n41310 61831\n63440 95160\n23199 34688\n56513 84722\n38545 57670\n63734 95595\n22031 32928\n84780 100000\n31616 47279\n38882 58178\n95169 100000\n76811 100000\n76711 100000\n24719 36945\n13882 20790\n56626 84887\n94710 100000\n76519 100000\n87031 100000\n23811 35609\n74635 100000\n91443 100000\n60638 90959\n68899 100000\n80072 100000\n32939 49249\n70024 100000\n73550 100000\n23158 34626\n69922 100000\n71014 100000\n58433 87648\n40632 60812\n31659 47350\n50762 76040\n20744 31015\n30156 45068\n57068 85558\n71603 100000\n29564 44162\n43879 65670\n13047 19557\n20655 30888\n90920 100000\n87643 100000\n22735 33998\n40420 60494\n58283 87418\n67272 100000\n82632 100000\n30623 45773\n44963 67285\n88284 100000\n16092 24097\n68141 100000\n14935 22361\n62791 94186\n58506 87754\n3093 4664\n12594 18884\n93732 100000\n76837 100000\n56581 84820\n7828 11716\n39320 58853\n45943 68776\n3267 4926\n68327 100000\n80425 100000\n71449 100000\n35677 53335\n58220 87318\n66102 99164\n3612 5428\n69450 100000\n83118 100000\n51038 76465\n45425 67988\n77407 100000\n23807 35602\n91336 100000\n63690 95530\n61963 92959\n33871 50616\n13632 20422\n70636 100000\n8626 12915\n27917 41714\n57302 85927\n39745 59490\n6736 10078\n63021 94535\n63688 95528\n35270 52725\n88874 100000\n67184 100000\n86173 100000\n71000 100000\n33523 50105\n75124 100000\n554 840\n48102 72038\n9250 13882\n67372 100000\n27107 40508\n51275 76822\n59954 89930\n16633 24881\n93573 100000\n3973 5986\n27645 41310\n42503 63593\n77201 100000\n15926 23844\n39072 58469\n95446 100000\n66695 100000\n67971 100000\n97571 100000\n59624 89432\n43051 64407\n23721 35469\n91350 100000\n13013 19505\n54956 82395\n54899 82308\n38805 58065\n75603 100000\n11930 17892\n47234 70721\n79794 100000\n77363 100000\n34230 51165\n97765 100000\n70062 100000\n52043 77994\n23526 35183\n46318 69336\n37750 56452\n52560 78785\n65538 98308\n70784 100000\n34774 51991\n11900 17843\n56509 84716\n56758 85081\n27439 40997\n15931 23853\n22092 33022\n56642 84911\n56647 84919\n28715 42905\n59013 88499\n34357 51351\n66734 100000\n47680 71398\n97024 100000\n4813 7239\n83080 100000\n1367 2075\n60707 91064\n67161 100000\n19140 28623\n64158 96226\n52970 79392\n72069 100000\n17133 25629\n21517 32171\n14710 22023\n36428 54475\n49964 74850\n87696 100000\n53998 80942\n20846 31165\n25038 37401\n43246 64707\n53747 80568\n75148 100000\n68724 100000\n10992 16483\n82834 100000\n26473 39572\n87800 100000\n48551 72706\n7995 11969\n60173 90260\n17401 26036\n99533 100000\n25438 38009\n70287 100000\n32357 48385\n26724 39937\n67484 100000\n85387 100000\n92858 100000\n72751 100000\n30725 45934\n47999 71887\n27286 40769\n1149 1757\n79845 100000\n91571 100000\n25936 38750\n58351 87525\n51041 76470\n485 732\n23279 34810\n9236 13862\n54724 82042\n4988 7495\n78560 100000\n63482 95218\n15508 23221\n28714 42903\n20200 30203\n45622 68286\n5985 8957\n90160 100000\n20918 31267\n9412 14117\n16278 24371\n39259 58764\n97166 100000\n88465 100000\n95145 100000\n69381 100000\n11939 17907\n19052 28486\n14153 21199\n49647 74380\n24253 36268\n48449 72548\n71594 100000\n62345 93542\n20118 30084\n19187 28687\n849 1290\n31507 47112\n20385 30486\n43550 65164\n47311 70838\n51984 77908\n76731 100000\n56015 83969\n92721 100000\n42967 64289\n29751 44460\n86748 100000\n46218 69189\n6488 9696\n82182 100000\n31646 47330\n39702 59425\n4116 6195\n94791 100000\n24522 36648\n29804 44540\n77610 100000\n89914 100000\n59920 89874\n87476 100000\n21346 31909\n88641 100000\n25522 38130\n72468 100000\n91856 100000\n89759 100000\n41588 62234\n13093 19624\n47916 71762\n91837 100000\n49987 74883\n58140 87198\n2790 4207\n18574 27787\n2606 3930\n82037 100000\n32672 48852\n79019 100000\n37659 56311\n96766 100000\n19408 29024\n42462 63534\n92288 100000\n28787 43012\n83745 100000\n33434 49972\n11613 17412\n89610 100000\n53202 79729\n98531 100000\n18228 27274\n86 132\n40183 60136\n48766 73029\n27698 41378\n63771 95649\n85488 100000\n34649 51803\n81946 100000\n46664 69872\n83354 100000\n91630 100000\n72895 100000\n51524 77203\n10431 15651\n50012 74923\n39504 59122\n34739 51939\n77795 100000\n26955 40280\n68006 100000\n60753 91133\n43064 64427\n31109 46514\n95915 100000\n33893 50647\n35874 53626\n69396 100000\n86041 100000\n50389 75493\n99522 100000\n49621 74345\n69670 100000\n74986 100000\n61786 92684\n78449 100000\n18195 27225\n19730 29498\n69652 100000\n33922 50689\n52130 78133\n89151 100000\n49456 74093\n91502 100000\n55398 83049\n21693 32433\n48883 73204\n73283 100000\n28680 42851\n68964 100000\n20143 30123\n63404 95108\n310 466\n47651 71356\n23902 35745\n6711 10040\n40582 60738\n5591 8383\n89773 100000\n6843 10237\n39548 59190\n74730 100000\n42191 63127\n25634 38290\n86932 100000\n66883 100000\n3191 4813\n97231 100000\n75576 100000\n81923 100000\n71886 100000\n40133 60061\n86632 100000\n97111 100000\n32970 49292\n19832 29646\n32667 48844\n23067 34490\n18581 27797\n93372 100000\n88490 100000\n89426 100000\n41764 62485\n57445 86143\n76629 100000\n58455 87681\n24413 36492\n70432 100000\n7160 10711\n62111 93190\n88790 100000\n57980 86964\n14442 21632\n77287 100000\n49526 74201\n43517 65113\n91649 100000\n71255 100000\n23476 35114\n40891 61198\n94614 100000\n23925 35782\n25858 38635\n10898 16343\n81537 100000\n73687 100000\n52378 78504\n23596 35282\n64468 96678\n13795 20660\n20264 30308\n55659 83438\n7332 10975\n90293 100000\n39726 59464\n84368 100000\n19736 29506\n58980 88450\n30953 46274\n19495 29146\n44448 66518\n24097 36039\n38147 57059\n93331 100000\n7964 11926\n10674 16013\n63293 94940\n6964 10413\n83798 100000\n7838 11733\n47796 71578\n21328 31883\n93184 100000\n13259 19865\n30512 45607\n72946 100000\n97513 100000\n89829 100000\n86040 100000\n31 45\n1286 1953\n84439 100000\n28622 42759\n25118 37527\n21818 32622\n27151 40572\n89187 100000\n71299 100000\n37027 55362\n82208 100000\n15394 23046\n12094 18145\n1794 2700\n948 1446\n68335 100000\n20333 30408\n38253 57225\n3150 4748\n30631 45786\n6688 10005\n97159 100000\n42963 64284\n62852 94282\n91905 100000\n33844 50575\n9415 14121\n75992 100000\n27093 40488\n57713 86555\n36066 53920\n39461 59057\n40831 61109\n29766 44484\n31900 47699\n5901 8832\n70803 100000\n25477 38066\n26464 39556\n10426 15643\n80570 100000\n98479 100000\n2062 3106\n30007 44852\n35123 52505\n51407 77030\n8091 12114\n38525 57640\n65299 97944\n2333 3521\n33990 50798\n52229 78272\n15060 22546\n84066 100000\n35934 53721\n41298 61814\n22152 33109\n92614 100000\n53504 80195\n93286 100000\n54275 81358\n30333 45339\n38999 58361\n11146 16706\n34137 51021\n2821 4254\n87590 100000\n66170 99270\n10713 16074\n82635 100000\n95730 100000\n70278 100000\n25806 38554\n48177 72149\n67255 100000\n24441 36534\n57006 85460\n50751 76027\n69022 100000\n28291 42277\n42912 64208\n79928 100000\n52572 78802\n81006 100000\n53005 79438\n51812 77653\n42985 64313\n77500 100000\n72114 100000\n51690 77453\n52517 78715\n43728 65434\n17072 25539\n22332 33371\n65888 98832\n62901 94359\n3212 4844\n25112 37519\n97326 100000\n86203 100000\n52213 78248\n8268 12375\n83773 100000\n4137 6226\n91573 100000\n95419 100000\n61754 92640\n20165 30157\n70019 100000\n68219 100000\n4663 7011\n20632 30855\n33263 49729\n74643 100000\n32149 48075\n60268 90405\n96485 100000\n22023 32918\n4531 6814\n29014 43355\n58794 88178\n81035 100000\n64844 97253\n8126 12168\n73847 100000\n95526 100000\n75753 100000\n80298 100000\n92525 100000\n83704 100000\n99995 100000\n49102 73541\n10982 16470\n5665 8488\n6965 10415\n78197 100000\n58576 87858\n95053 100000\n56656 84932\n78288 100000\n92205 100000\n82638 100000\n38896 58200\n43218 64667\n9895 14840\n63801 95691\n73246 100000\n72008 100000\n92673 100000\n3607 5422\n83037 100000\n41303 61821\n88932 100000\n69350 100000\n15050 22529\n16961 25369\n98101 100000\n57460 86169\n96914 100000\n98226 100000\n873 1332\n44272 66254\n70421 100000\n16527 24731\n1498 2269\n25822 38580\n71615 100000\n33764 50457\n53309 79891\n99156 100000\n38131 57033\n1879 2828\n34217 51146\n55430 83093\n74031 100000\n45158 67580\n25247 37715\n60468 90711\n91197 100000\n64750 97117\n63181 94772\n34757 51968\n74481 100000\n56691 84982\n59168 88730\n88744 100000\n27463 41031\n38006 56839\n80087 100000\n90665 100000\n63150 94724\n87499 100000\n34703 51886\n75964 100000\n56266 84338\n11875 17804\n61345 92038\n55108 82629\n56091 84084\n17651 26408\n44958 67278\n22306 33334\n95254 100000\n23205 34697\n43372 64893\n949 1448\n75554 100000\n31230 46694\n39019 58392\n4168 6276\n91853 100000\n31077 46471\n68706 100000\n39569 59223\n95716 100000\n23056 34475\n78200 100000\n93246 100000\n35316 52796\n29276 43739\n92647 100000\n20831 31142\n64922 97371\n52791 79128\n58849 88260\n2605 3929\n70708 100000\n40345 60378\n31167 46599\n63729 95589\n30943 46259\n72111 100000\n99792 100000\n56754 85075\n80111 100000\n63241 94860\n9340 14013\n632 962\n96952 100000\n25278 37766\n27518 41114\n2319 3499\n92943 100000\n64250 96366\n4670 7021\n27311 40807\n16736 25036\n74286 100000\n86745 100000\n70323 100000\n2351 3545\n57607 86393\n72732 100000\n18491 27666\n80327 100000\n23836 35642\n20668 30906\n68701 100000\n30391 45430\n29454 43996\n67269 100000\n20110 30072\n28654 42808\n86551 100000\n10148 15222\n21041 31462\n15775 23623\n96416 100000\n9816 14726\n63189 94783\n47605 71290\n58587 87874\n18671 27929\n47660 71369\n36052 53896\n45894 68701\n31985 47825\n48987 73364\n440 664\n32795 49034\n2129 3209\n8113 12147\n74259 100000\n91377 100000\n73614 100000\n6385 9559\n64117 96168\n86888 100000\n35509 53083\n87277 100000\n47939 71795\n49827 74651\n12538 18799\n90938 100000\n73342 100000\n91466 100000\n72759 100000\n74725 100000\n98569 100000\n5005 7521\n66147 99232\n49468 74111\n13292 19916\n94165 100000\n7149 10695\n33987 50793\n35389 52902\n2297 3464\n39957 59801\n695 1054\n14913 22331\n14170 21227\n28468 42529\n74731 100000\n53666 80450\n73401 100000\n67999 100000\n99033 100000\n66215 99338\n90025 100000\n14493 21705\n65389 98080\n50072 75011\n38964 58309\n24131 36088\n4384 6589\n94369 100000\n67393 100000\n55995 83940\n10708 16066\n23126 34583\n53618 80371\n36195 54113\n99162 100000\n36727 54902\n82234 100000\n12095 18146\n78152 100000\n9838 14760\n78581 100000\n83607 100000\n7355 11010\n70136 100000\n90581 100000\n80304 100000\n41644 62317\n3829 5762\n9490 14235\n41523 62137\n34509 51592\n20351 30433\n76471 100000\n77699 100000\n3631 5453\n46783 70046\n12302 18452\n51080 76530\n44901 67188\n75530 100000\n37501 56072\n87863 100000\n80171 100000\n31063 46446\n43844 65614\n1380 2094\n26844 40111\n22288 33307\n57323 85957\n74435 100000\n40229 60205\n1307 1984\n4411 6631\n32493 48582\n8371 12531\n24546 36685\n92166 100000\n4290 6449\n25765 38491\n74402 100000\n72282 100000\n15653 23443\n86121 100000\n80786 100000\n14338 21477\n74890 100000\n40438 60519\n13225 19816\n39349 58897\n29507 44074\n40600 60765\n29656 44314\n90082 100000\n52237 78287\n26997 40343\n23929 35789\n79468 100000\n31115 46524\n23805 35598\n95417 100000\n75009 100000\n77760 100000\n70690 100000\n41995 62822\n28361 42381\n99125 100000\n44368 66401\n59739 89600\n4467 6713\n10435 15655\n16452 24616\n33404 49930\n28211 42163\n62692 94039\n6894 10309\n81352 100000\n50797 76095\n68447 100000\n20293 30350\n85704 100000\n88309 100000\n59998 89999\n77014 100000\n82749 100000\n90273 100000\n68541 100000\n50706 75958\n58469 87701\n17513 26201\n87784 100000\n45202 67648\n19311 28874\n82149 100000\n45021 67373\n90873 100000\n44249 66218\n24804 37066\n54432 81595\n63059 94589\n87510 100000\n83955 100000\n32110 48016\n82280 100000\n32432 48493\n40249 60231\n35928 53710\n3796 5710\n34932 52225\n50437 75564\n5156 7741\n40998 61363\n43790 65531\n65039 97548\n84444 100000\n62222 93358\n88414 100000\n5634 8444\n4454 6692\n61367 92069\n15324 22942\n44069 65950\n42156 63077\n90110 100000\n58154 87216\n26825 40083\n52652 78916\n20778 31067\n45089 67474\n98428 100000\n10918 16374\n69482 100000\n41389 61948\n58857 88273\n74095 100000\n34449 51495\n83627 100000\n29601 44219\n50889 76237\n94721 100000\n4525 6804\n69558 100000\n99895 100000\n68663 100000\n64595 96885\n18327 27418\n36239 54176\n72743 100000\n19847 29670\n339 508\n53784 80620\n9591 14378\n80621 100000\n89176 100000\n20510 30683\n62984 94478\n27768 41487\n38987 58341\n36146 54042\n73346 100000\n81669 100000\n6873 10280\n68189 100000\n72236 100000\n54713 82025\n40538 60671\n69747 100000\n60866 91301\n71643 100000\n36341 54337\n28957 43271\n20691 30940\n2685 4047\n26358 39402\n16446 24608\n76191 100000\n24851 37134\n81578 100000\n73285 100000\n62931 94403\n68514 100000\n50294 75351\n92483 100000\n49002 73388\n6630 9921\n66850 100000\n64495 96725\n45006 67347\n24207 36202\n61591 92393\n62787 94180\n74767 100000\n85941 100000\n27137 40555\n57836 86745\n10774 16163\n40694 60903\n50460 75602\n99500 100000\n93183 100000\n24311 36351\n66061 99102\n90820 100000\n9342 14016\n22513 33650\n77149 100000\n27221 40669\n89935 100000\n67732 100000\n63366 95055\n80579 100000\n65253 97878\n10352 15530\n59779 89659\n40294 60296\n85296 100000\n1780 2677\n10393 15594\n93548 100000\n17365 25981\n88146 100000\n83456 100000\n28915 43206\n74766 100000\n7062 10562\n39323 58859\n71831 100000\n79157 100000\n50382 75484\n70505 100000\n11269 16896\n4574 6877\n76619 100000\n21581 32267\n46362 69406\n95942 100000\n80763 100000\n74323 100000\n16422 24576\n48075 71993\n56881 85268\n35961 53755\n3071 4629\n35826 53555\n8649 12953\n76944 100000\n346 520\n3564 5361\n68185 100000\n47281 70794\n95623 100000\n12597 18888\n46225 69197\n89066 100000\n58133 87189\n57685 86511\n75614 100000\n8009 11988\n46592 69759\n50314 75380\n75147 100000\n55065 82564\n7218 10803\n87094 100000\n54883 82281\n55684 83480\n2534 3820\n71514 100000\n45508 68113\n69685 100000\n41263 61759\n92719 100000\n94307 100000\n78568 100000\n3091 4662\n34289 51249\n95738 100000\n6734 10075\n92529 100000\n61863 92805\n40820 61092\n82758 100000\n44649 66820\n61032 91546\n78161 100000\n1012 1547\n11758 17628\n77268 100000\n82946 100000\n21012 31412\n84648 100000\n69270 100000\n78448 100000\n42514 63608\n32870 49140\n71655 100000\n17304 25893\n63476 95211\n91245 100000\n23497 35146\n39834 59623\n84286 100000\n92524 100000\n60132 90200\n62750 94125\n72406 100000\n33319 49810\n49760 74552\n25935 38749\n28601 42723\n95555 100000\n84437 100000\n10344 15521\n36799 55010\n51252 76787\n64704 97047\n19551 29228\n41277 61783\n31372 46907\n3997 6027\n78393 100000\n31192 46634\n62584 93884\n25540 38158\n66044 99074\n27970 41793\n49451 74086\n7748 11597\n19343 28920\n62938 94413\n21962 32827\n73070 100000\n88163 100000\n34983 52295\n46829 70119\n65979 98973\n12962 19431\n98312 100000\n31759 47492\n21727 32483\n82019 100000\n89936 100000\n15070 22561\n83734 100000\n19051 28484\n98545 100000\n80155 100000\n60348 90525\n64294 96427\n84382 100000\n8262 12365\n59987 89982\n40943 61279\n71453 100000\n55548 83269\n69286 100000\n76621 100000\n46842 70140\n17925 26826\n91217 100000\n34653 51809\n13346 20001\n25454 38034\n52096 78077\n87013 100000\n50440 75568\n58459 87686\n17921 26819\n82445 100000\n74830 100000\n92455 100000\n7959 11919\n53007 79442\n33364 49872\n79593 100000\n10121 15181\n32833 49089\n18328 27420\n31898 47697\n28512 42587\n48927 73275\n83194 100000\n35904 53669\n86766 100000\n24223 36226\n65395 98088\n72260 100000\n99376 100000\n38724 57945\n25952 38774\n75474 100000\n84184 100000\n78249 100000\n74773 100000\n45516 68125\n54346 81464\n32993 49328\n68766 100000\n9255 13889\n21824 32631\n10662 15996\n35237 52672\n89535 100000\n49983 74876\n99013 100000\n32154 48083\n57220 85799\n63726 95585\n32404 48455\n20869 31196\n99119 100000\n90752 100000\n88597 100000\n74297 100000\n92134 100000\n97561 100000\n11763 17636\n85730 100000\n25514 38118\n35569 53170\n38122 57020\n11121 16669\n44667 66847\n53000 79430\n43009 64347\n82127 100000\n83227 100000\n65332 97993\n10998 16491\n2706 4081\n20797 31093\n19947 29818\n86215 100000\n12931 19383\n51584 77294\n70590 100000\n32738 48946\n38460 57540\n13831 20716\n54016 80970\n9459 14191\n26166 39105\n64686 97018\n26513 39633\n15289 22892\n68762 100000\n5114 7678\n2689 4052\n86789 100000\n59024 88512\n17572 26284\n87731 100000\n82860 100000\n49291 73836\n34777 51996\n75831 100000\n68659 100000\n99050 100000\n91505 100000\n99735 100000\n22864 34185\n74126 100000\n2598 3916\n44701 66895\n27035 40399\n76237 100000\n30433 45491\n57963 86936\n4766 7170\n82309 100000\n1500 2273\n15385 23031\n65418 98126\n71002 100000\n90816 100000\n12445 18664\n45714 68425\n75123 100000\n50086 75031\n57837 86746\n91278 100000\n74284 100000\n61782 92679\n74112 100000\n21103 31555\n75217 100000\n15680 23485\n50126 75095\n34410 51432\n90897 100000\n53778 80612\n13818 20697\n46828 70117\n56453 84631\n40300 60305\n6379 9550\n68949 100000\n16578 24802\n6449 9644\n89372 100000\n22703 33945\n46835 70128\n28837 43091\n23347 34912\n28498 42570\n48966 73333\n29465 44012\n44693 66884\n94985 100000\n93734 100000\n48230 72228\n60542 90818\n45156 67576\n45907 68719\n91256 100000\n1229 1870\n94355 100000\n79604 100000\n41585 62228\n24206 36200\n34753 51963\n84562 100000\n14745 22074\n59310 88944\n89506 100000\n29466 44013\n58820 88218\n27166 40595\n78674 100000\n32949 49263\n49393 73996\n8289 12407\n91111 100000\n83871 100000\n44275 66258\n72969 100000\n19465 29108\n26007 38860\n68517 100000\n66740 100000\n34724 51918\n95343 100000\n29702 44386\n20045 29969\n46689 69907\n17937 26847\n69084 100000\n51392 77005\n67562 100000\n65071 97594\n37578 56188\n42999 64332\n70125 100000\n20707 30965\n55416 83073\n48035 71935\n47312 70840\n16544 24753\n38623 57794\n20598 30804\n36628 54759\n48820 73110\n3859 5812\n6987 10451\n20808 31112\n44410 66463\n3723 5598\n7573 11339\n59148 88700\n52923 79317\n26453 39540\n71226 100000\n23441 35056\n69553 100000\n20790 31084\n13270 19884\n98519 100000\n74409 100000\n17533 26228\n87355 100000\n99966 100000\n9007 13512\n62844 94270\n51950 77858\n76306 100000\n88884 100000\n38034 56886\n17138 25636\n10459 15689\n10204 15306\n13038 19542\n7292 10915\n73524 100000\n77602 100000\n65213 97814\n62993 94495\n64664 96985\n37038 55380\n17206 25746\n71772 100000\n65528 98291\n88376 100000\n17920 26817\n47905 71747\n27712 41400\n15091 22589\n87089 100000\n46219 69190\n89715 100000\n29329 43811\n31203 46649\n80243 100000\n86363 100000\n8175 12238\n55194 82752\n80439 100000\n49801 74613\n7518 11265\n44229 66187\n2911 4386\n9355 14037\n82645 100000\n92737 100000\n3868 5824\n53415 80057\n81367 100000\n55757 83591\n56858 85234\n38383 57420\n31281 46771\n13567 20330\n92854 100000\n8731 13083\n99736 100000\n32442 48507\n19632 29350\n87959 100000\n49993 74893\n32708 48901\n62998 94501\n59259 88863\n56615 84873\n64616 96917\n52000 77932\n66608 99944\n83978 100000\n95845 100000\n22777 34058\n54735 82059\n59011 88497\n91033 100000\n88786 100000\n8581 12844\n73568 100000\n95015 100000\n80105 100000\n12882 19313\n83766 100000\n20879 31208\n4492 6752\n28976 43297\n66265 99413\n78502 100000\n24367 36431\n95104 100000\n68961 100000\n76639 100000\n23873 35701\n64452 96652\n77908 100000\n94020 100000\n77233 100000\n84376 100000\n81351 100000\n43753 65473\n95569 100000\n31995 47840\n39435 59021\n9965 14945\n27096 40493\n37522 56105\n53452 80114\n22573 33745\n2698 4066\n24236 36242\n78961 100000\n57170 85722\n13891 20802\n16503 24687\n99077 100000\n81935 100000\n79812 100000\n21485 32118\n91978 100000\n52394 78530\n74379 100000\n39667 59372\n66868 100000\n94913 100000\n45856 68640\n15425 23097\n7033 10518\n28385 42413\n74099 100000\n35140 52526\n94323 100000\n83377 100000\n54503 81701\n2915 4391\n98234 100000\n76728 100000\n70389 100000\n18 27\n5417 8125\n36087 53953\n52811 79155\n6381 9553\n73712 100000\n34384 51392\n71380 100000\n79622 100000\n82035 100000\n98947 100000\n89425 100000\n67712 100000\n2612 3940\n98616 100000\n42911 64206\n50635 75860\n17628 26374\n28511 42586\n47567 71236\n83189 100000\n96316 100000\n52615 78863\n72929 100000\n57422 86105\n85880 100000\n50829 76143\n22525 33670\n89764 100000\n57910 86859\n42115 63008\n47349 70901\n59460 89180\n72520 100000\n73150 100000\n91128 100000\n65703 98556\n27437 40994\n77822 100000\n54358 81484\n71183 100000\n74576 100000\n87691 100000\n16398 24542\n37053 55405\n84399 100000\n53775 80609\n24910 37222\n47848 71658\n92743 100000\n72291 100000\n45897 68705\n52634 78891\n68992 100000\n96586 100000\n3722 5597\n88134 100000\n45008 67350\n20663 30899\n29309 43782\n80417 100000\n59984 89978\n39124 58544\n25916 38723\n77421 100000\n53486 80168\n73418 100000\n49132 73591\n70484 100000\n77646 100000\n58530 87792\n53256 79809\n57947 86913\n65454 98180\n25176 37610\n6033 9033\n9505 14255\n18827 28161\n5214 7831\n62190 93310\n71989 100000\n4872 7327\n27146 40566\n21592 32281\n88418 100000\n66178 99282\n96382 100000\n65554 98331\n71246 100000\n36606 54730\n81495 100000\n54533 81746\n53131 79630\n12934 19388\n69512 100000\n23757 35525\n22909 34252\n57256 85855\n45717 68430\n89419 100000\n62639 93963\n41843 62600\n10423 15639\n75320 100000\n29929 44733\n16332 24449\n91115 100000\n30464 45539\n70731 100000\n52514 78710\n64084 96113\n89954 100000\n27276 40752\n99131 100000\n19297 28853\n67931 100000\n36745 54930\n49847 74680\n17379 26001\n4164 6269\n98475 100000\n34341 51328\n4943 7428\n59263 88868\n9856 14785\n67741 100000\n48903 73236\n42181 63112\n64822 97221\n44143 66061\n71228 100000\n94923 100000\n14549 21791\n82748 100000\n71119 100000\n65523 98282\n44175 66111\n7071 10576\n92861 100000\n94232 100000\n8261 12363\n62420 93641\n76791 100000\n48066 71980\n61315 91990\n36721 54894\n47709 71446\n33010 49351\n31826 47587\n75059 100000\n95092 100000\n8914 13360\n74224 100000\n79438 100000\n24229 36233\n27827 41579\n72709 100000\n36488 54558\n30567 45686\n92620 100000\n41937 62741\n87594 100000\n31684 47392\n14299 21425\n41069 61469\n27646 41311\n66016 99029\n1421 2155\n53888 80776\n1994 3000\n82058 100000\n60404 90604\n36148 54044\n54476 81660\n59422 89121\n87329 100000\n68060 100000\n8981 13469\n94816 100000\n13342 19994\n60820 91232\n52380 78508\n96849 100000\n31413 46969\n8404 12581\n96149 100000\n31749 47478\n67248 100000\n28288 42272\n50849 76175\n5875 8791\n35813 53539\n14654 21933\n95280 100000\n82973 100000\n27214 40659\n88060 100000\n73829 100000\n21355 31923\n35816 53543\n82179 100000\n53208 79739\n31870 47654\n82585 100000\n38084 56964\n90727 100000\n1703 2571\n73125 100000\n31970 47803\n80704 100000\n29969 44793\n11721 17575\n19249 28783\n80603 100000\n99472 100000\n16147 24181\n80383 100000\n24117 36068\n58031 87036\n34057 50902\n83663 100000\n96837 100000\n37410 55939\n63979 95963\n33946 50728\n9634 14444\n22241 33234\n60209 90314\n12319 18478\n28278 42260\n81706 100000\n50777 76062\n20065 30001\n17284 25861\n14727 22050\n28454 42511\n38836 58110\n66946 100000\n63736 95598\n50811 76115\n25551 38171\n64454 96655\n13822 20702\n33708 50378\n58689 88026\n22187 33159\n19851 29676\n72613 100000\n9088 13634\n48007 71898\n16317 24428\n87351 100000\n32368 48402\n3898 5872\n97016 100000\n99975 100000\n87285 100000\n32396 48442\n53766 80595\n51480 77136\n98481 100000\n4634 6969\n70345 100000\n46911 70239\n34246 51186\n19161 28652\n561 852\n2625 3960\n9409 14113\n9404 14105\n92495 100000\n6868 10274\n54013 80965\n14559 21806\n98996 100000\n47817 71611\n12681 19012\n97633 100000\n66656 100000\n77741 100000\n66923 100000\n19224 28743\n94720 100000\n33801 50511\n74828 100000\n18399 27531\n44624 66785\n79283 100000\n46578 69739\n22301 33326\n96058 100000\n40081 59985\n93195 100000\n89461 100000\n88445 100000\n58672 88001\n89205 100000\n67813 100000\n18297 27377\n16026 24000\n81202 100000\n72098 100000\n30278 45257\n98042 100000\n48827 73120\n53945 80860\n44868 67136\n74820 100000\n3294 4961\n53708 80512\n28920 43213\n83550 100000\n37320 55803\n96369 100000\n90894 100000\n84401 100000\n92476 100000\n10128 15189\n26435 39514\n79133 100000\n61728 92597\n13145 19697\n70157 100000\n37462 56014\n89376 100000\n83681 100000\n43278 64754\n39382 58942\n57176 85731\n46651 69850\n88753 100000\n76940 100000\n76404 100000\n97032 100000\n3801 5717\n458 693\n79765 100000\n50244 75274\n43681 65365\n13898 20812\n99187 100000\n56401 84554\n65307 97954\n67466 100000\n84255 100000\n25199 37646\n42163 63087\n39603 59271\n62163 93269\n16473 24646\n93418 100000\n17063 25524\n81093 100000\n40516 60639\n61887 92844\n78878 100000\n24795 37054\n26861 40136\n69235 100000\n17309 25901\n68864 100000\n19748 29523\n28396 42425\n64182 96264\n29607 44227\n60028 90044\n34286 51244\n48480 72594\n70644 100000\n57960 86931\n94713 100000\n73904 100000\n74885 100000\n78286 100000\n95566 100000\n62128 93216\n4025 6067\n43831 65595\n42654 63822\n46228 69202\n67766 100000\n57343 85988\n66568 99882\n34071 50922\n72341 100000\n95883 100000\n9387 14078\n67918 100000\n22706 33950\n4160 6264\n92822 100000\n58044 87056\n5323 7987\n30844 46112\n94577 100000\n69515 100000\n20833 31145\n87007 100000\n79099 100000\n12987 19467\n36202 54125\n470 710\n32168 48104\n44358 66387\n23350 34915\n4947 7433\n28609 42736\n93801 100000\n47777 71553\n49997 74900\n37991 56817\n5037 7568\n65809 98717\n51379 76986\n96964 100000\n46659 69863\n66880 100000\n42024 62870\n47216 70694\n56954 85381\n40233 60209\n47016 70390\n67515 100000\n68192 100000\n67042 100000\n28452 42509\n92677 100000\n8595 12865\n10848 16265\n70338 100000\n33009 49350\n77384 100000\n21051 31476\n72910 100000\n40589 60749\n18972 28377\n95215 100000\n99706 100000\n14031 21014\n24489 36602\n92148 100000\n4059 6115\n88831 100000\n14383 21542\n52798 79137\n96028 100000\n45090 67476\n57479 86193\n74116 100000\n16916 25304\n32507 48605\n29021 43366\n23545 35210\n61191 91794\n19821 29627\n18563 27770\n89162 100000\n79978 100000\n88566 100000\n57532 86277\n45752 68480\n18494 27670\n34163 51062\n53751 80574\n24608 36781\n77496 100000\n81023 100000\n75361 100000\n27865 41634\n49540 74221\n88946 100000\n38345 57360\n19583 29277\n93620 100000\n1338 2029\n20489 30648\n11883 17818\n93667 100000\n22718 33971\n4052 6106\n18101 27089\n83602 100000\n73316 100000\n79147 100000\n25435 38005\n16555 24768\n63014 94525\n77846 100000\n47656 71364\n75868 100000\n94054 100000\n18884 28250\n29626 44261\n73882 100000\n12619 18919\n48187 72162\n27731 41431\n86828 100000\n48438 72532\n21052 31478\n5015 7535\n11787 17674\n74947 100000\n84904 100000\n98691 100000\n18051 27015\n96293 100000\n70250 100000\n63447 95171\n84964 100000\n35317 52797\n41561 62193\n84383 100000\n57703 86536\n61588 92388\n29772 44493\n4869 7322\n4090 6158\n30575 45698\n39183 58637\n79144 100000\n26000 38849\n92732 100000\n15984 23934\n83903 100000\n65458 98187\n80943 100000\n12729 19083\n66859 100000\n54821 82190\n78897 100000\n99479 100000\n131 197\n14078 21081\n96052 100000\n2549 3842\n10710 16069\n70495 100000\n79426 100000\n20773 31061\n87777 100000\n97164 100000\n11333 16991\n19780 29568\n84261 100000\n9286 13933\n50853 76182\n40053 59942\n701 1063\n82054 100000\n18276 27346\n61475 92219\n3867 5822\n34791 52016\n19138 28620\n55900 83797\n17161 25672\n61946 92932\n16034 24012\n5509 8259\n7976 11945\n21332 31889\n33102 49493\n35633 53269\n7503 11240\n41972 62790\n84637 100000\n10507 15764\n5770 8642\n22087 33014\n99008 100000\n17203 25743\n5637 8449\n73204 100000\n7544 11299\n49380 73978\n37854 56611\n58241 87351\n14282 21399\n63291 94936\n17239 25793\n70808 100000\n14596 21854\n60077 90114\n58763 88136\n80195 100000\n57217 85793\n47717 71457\n61542 92324\n48980 73353\n62084 93146\n59947 89918\n6274 9390\n30734 45949\n98157 100000\n35982 53788\n93421 100000\n8172 12235\n4604 6922\n84489 100000\n83583 100000\n75304 100000\n51548 77239\n75995 100000\n7047 10539\n47700 71431\n82015 100000\n13990 20954\n58260 87378\n60695 91043\n33367 49876\n6359 9521\n77048 100000\n92747 100000\n45416 67976\n88342 100000\n76522 100000\n98453 100000\n79399 100000\n18755 28056\n45550 68175\n60096 90143\n99779 100000\n55670 83454\n58332 87495\n58741 88102\n60856 91286\n8507 12734\n61072 91607\n10590 15892\n40894 61202\n90775 100000\n75691 100000\n51321 76897\n39034 58413\n13639 20433\n34476 51538\n20154 30139\n5649 8469\n70977 100000\n93300 100000\n55652 83426\n19072 28514\n28531 42621\n37491 56057\n80514 100000\n67186 100000\n21488 32124\n4171 6280\n78912 100000\n41451 62035\n82985 100000\n38715 57935\n65756 98636\n90343 100000\n39597 59262\n84605 100000\n41483 62080\n28815 43055\n35403 52926\n66460 99713\n4426 6650\n35276 52735\n53228 79769\n74938 100000\n82756 100000\n69782 100000\n31121 46531\n19448 29084\n70901 100000\n25123 37532\n44791 67026\n99154 100000\n41505 62110\n79842 100000\n54854 82237\n83457 100000\n78605 100000\n38001 56832\n25781 38515\n68 103\n4354 6547\n59076 88589\n86684 100000\n51881 77751\n40927 61253\n46311 69327\n10636 15957\n70705 100000\n68866 100000\n31903 47704\n62983 94476\n61997 93010\n4014 6051\n45356 67882\n31797 47546\n44096 65991\n13865 20765\n89647 100000\n98761 100000\n67407 100000\n63788 95674\n12345 18517\n59783 89666\n78644 100000\n13965 20918\n48407 72488\n67341 100000\n65101 97639\n34472 51532\n79805 100000\n12718 19066\n78169 100000\n82047 100000\n67690 100000\n33333 49828\n54767 82109\n12354 18528\n25766 38493\n36888 55151\n47213 70690\n62123 93207\n89615 100000\n20236 30263\n74361 100000\n10977 16464\n3809 5730\n27885 41666\n98262 100000\n73571 100000\n78159 100000\n97046 100000\n63708 95557\n28144 42054\n57050 85529\n95093 100000\n893 1363\n89631 100000\n98307 100000\n22970 34339\n9382 14071\n4560 6856\n1119 1711\n57831 86739\n9179 13776\n94792 100000\n52084 78059\n29646 44296\n41418 61987\n5227 7851\n88139 100000\n72990 100000\n26506 39624\n84633 100000\n66086 99138\n81401 100000\n17375 25996\n27099 40497\n62761 94142\n6888 10302\n28301 42293\n45617 68277\n45569 68207\n84330 100000\n5202 7814\n46529 69667\n85961 100000\n34553 51662\n73575 100000\n65719 98580\n59492 89227\n86618 100000\n87562 100000\n54008 80956\n17124 25617\n90628 100000\n31474 47061\n50011 74921\n91073 100000\n12097 18150\n85727 100000\n27988 41818\n18606 27832\n82858 100000\n32783 49015\n67050 100000\n99469 100000\n66228 99354\n82782 100000\n90845 100000\n76315 100000\n34014 50833\n98709 100000\n940 1434\n99041 100000\n4897 7362\n4624 6954\n12320 18479\n25042 37407\n56280 84363\n99676 100000\n60075 90111\n88525 100000\n79153 100000\n97900 100000\n38350 57368\n66704 100000\n92272 100000\n1190 1813\n48130 72081\n97642 100000\n49103 73543\n94046 100000\n81614 100000\n60237 90360\n37442 55985\n64825 97225\n18170 27188\n55428 83090\n39912 59738\n60023 90035\n74631 100000\n80912 100000\n12084 18129\n3945 5949\n47134 70574\n19414 29032\n40539 60673\n12061 18095\n22668 33893\n25395 37948\n39431 59014\n19775 29562\n84872 100000\n22961 34325\n28247 42215\n98946 100000\n75585 100000\n51852 77711\n85306 100000\n66177 99281\n8444 12639\n18095 27079\n44817 67063\n96243 100000\n82639 100000\n8066 12076\n64212 96308\n17877 26749\n13436 20135\n32058 47939\n9514 14269\n37803 56532\n24898 37208\n99551 100000\n27858 41625\n18345 27448\n40682 60884\n776 1181\n43892 65690\n66475 99737\n22051 32958\n75537 100000\n96607 100000\n79091 100000\n26059 38942\n8577 12836\n13591 20365\n26646 39824\n82071 100000\n58691 88029\n21575 32257\n16461 24631\n29425 43952\n79901 100000\n97283 100000\n50545 75730\n16876 25244\n90183 100000\n26619 39786\n93050 100000\n34545 51650\n54581 81817\n60213 90320\n38973 58322\n95702 100000\n51554 77247\n93018 100000\n38041 56897\n17945 26857\n11645 17461\n15222 22786\n88724 100000\n21879 32704\n53288 79855\n37518 56100\n53488 80172\n65321 97976\n364 545\n41878 62653\n27407 40949\n92862 100000\n64827 97229\n46832 70124\n93719 100000\n18416 27559\n1947 2930\n27472 41042\n17876 26748\n75672 100000\n58671 88000\n3531 5315\n33779 50479\n69139 100000\n78146 100000\n17310 25902\n97181 100000\n74330 100000\n8259 12361\n78804 100000\n39082 58482\n10633 15952\n36925 55202\n63930 95884\n99134 100000\n80451 100000\n45172 67604\n69373 100000\n56594 84839\n78164 100000\n85627 100000\n39659 59360\n16844 25192\n95055 100000\n97217 100000\n27092 40486\n97212 100000\n87969 100000\n67218 100000\n93147 100000\n56316 84422\n85009 100000\n27883 41662\n27208 40653\n55150 82690\n52470 78642\n82781 100000\n51050 76483\n23323 34877\n90154 100000\n55179 82731\n68649 100000\n36673 54822\n23416 35013\n79976 100000\n53199 79724\n49351 73933\n72230 100000\n64459 96665\n1883 2835\n4721 7101\n22226 33214\n29931 44736\n78796 100000\n8820 13218\n58261 87380\n30400 45442\n29535 44120\n53829 80682\n9637 14448\n34190 51102\n90942 100000\n24602 36772\n86221 100000\n14801 22156\n70201 100000\n14604 21866\n98425 100000\n83732 100000\n70945 100000\n7567 11332\n9628 14433\n47693 71418\n39538 59171\n21726 32481\n38159 57079\n94290 100000\n95814 100000\n69938 100000\n60422 90634\n38965 58310\n56602 84854\n68177 100000\n76613 100000\n12349 18522\n40992 61353\n68882 100000\n46579 69740\n69709 100000\n51810 77649\n88149 100000\n72678 100000\n30093 44975\n7027 10508\n78732 100000\n77757 100000\n75944 100000\n37140 55537\n78451 100000\n76493 100000\n99111 100000\n70422 100000\n81581 100000\n56170 84207\n82300 100000\n2389 3605\n72844 100000\n87148 100000\n42795 64030\n18935 28324\n39854 59652\n9984 14975\n46901 70226\n45068 67443\n71013 100000\n20473 30624\n27426 40975\n26782 40018\n48048 71955\n16642 24894\n60970 91451\n7401 11077\n59670 89499\n70071 100000\n54585 81822\n76541 100000\n77 116\n54404 81553\n26012 38869\n55002 82470\n91855 100000\n86722 100000\n52361 78479\n43663 65339\n44740 66953\n24217 36217\n22489 33614\n15369 23006\n44027 65888\n13365 20030\n11716 17568\n64033 96040\n12096 18148\n935 1429\n19349 28927\n33207 49646\n14866 22259\n6778 10140\n7510 11252\n607 923\n39155 58592\n45001 67341\n68051 100000\n45193 67635\n73042 100000\n4920 7394\n72279 100000\n1955 2940\n61114 91668\n23370 34947\n73069 100000\n53150 79658\n33134 49541\n15937 23863\n30301 45292\n82654 100000\n65240 97858\n94829 100000\n71565 100000\n75239 100000\n71595 100000\n75068 100000\n9994 14988\n9893 14837\n57794 86686\n35376 52882\n3949 5953\n72074 100000\n76372 100000\n50458 75599\n38094 56978\n47280 70793\n98643 100000\n33450 50001\n68156 100000\n45441 68008\n88796 100000\n61540 92321\n15527 23249\n1066 1632\n90150 100000\n83872 100000\n35062 52415\n40498 60611\n66407 99633\n45930 68757\n85328 100000\n89705 100000\n14513 21737\n87617 100000\n63650 95472\n81363 100000\n99917 100000\n12675 19005\n70841 100000\n16024 23998\n20104 30064\n60849 91276\n8058 12064\n24847 37128\n96698 100000\n35091 52456\n86865 100000\n54648 81926\n57399 86068\n43374 64896\n71973 100000\n55955 83883\n49549 74235\n43735 65446\n75016 100000\n16425 24581\n88021 100000\n73429 100000\n71880 100000\n26484 39589\n72787 100000\n62141 93235\n36370 54383\n99470 100000\n47355 70911\n34009 50827\n43587 65222\n49671 74418\n78227 100000\n41115 61539\n33839 50566\n2623 3956\n22460 33571\n11686 17523\n67521 100000\n24061 35989\n67639 100000\n88246 100000\n58121 87173\n21084 31527\n33699 50363\n80685 100000\n20411 30527\n32698 48887\n25990 38835\n76126 100000\n19944 29814\n40581 60736\n50443 75573\n25578 38209\n16195 24249\n57550 86303\n65610 98417\n60390 90583\n62406 93624\n58992 88469\n33597 50221\n5963 8925\n33625 50258\n45753 68482\n37623 56254\n63570 95348\n14165 21219\n96174 100000\n55009 82481\n42412 63465\n17549 26253\n44548 66667\n40066 59961\n74362 100000\n8294 12417\n18767 28074\n16052 24038\n27097 40495\n40292 60292\n82517 100000\n5573 8358\n58396 87594\n3049 4595\n20934 31291\n78904 100000\n12850 19264\n53088 79565\n47243 70735\n31364 46895\n35009 52335\n36374 54390\n2741 4132\n59774 89653\n60377 90565\n878 1339\n62322 93508\n96554 100000\n9805 14709\n50716 75973\n98779 100000\n60007 90013\n96425 100000\n51076 76523\n62909 94371\n91609 100000\n52112 78102\n15463 23151\n83140 100000\n27859 41627\n67683 100000\n98072 100000\n2551 3845\n14906 22320\n59366 89029\n97978 100000\n58317 87470\n52240 78293\n85578 100000\n55338 82961\n57191 85754\n70194 100000\n36154 54051\n82949 100000\n44076 65962\n59179 88747\n18017 26970\n1617 2450\n28626 42765\n88304 100000\n13319 19959\n87395 100000\n66529 99822\n69320 100000\n35122 52504\n51888 77762\n73876 100000\n7003 10476\n21441 32055\n3358 5052\n42858 64123\n26320 39346\n74758 100000\n55363 82997\n84695 100000\n94320 100000\n64367 96539\n20416 30535\n99436 100000\n58566 87846\n16799 25126\n64057 96077\n19077 28522\n81983 100000\n62133 93225\n19063 28503\n95554 100000\n15795 23652\n27895 41681\n31663 47357\n66851 100000\n81950 100000\n99463 100000\n73953 100000\n98704 100000\n48271 72289\n27943 41753\n13535 20281\n76583 100000\n91325 100000\n72909 100000\n38100 56987\n56723 85031\n61927 92903\n87040 100000\n47299 70819\n71938 100000\n49064 73483\n97570 100000\n2701 4072\n75288 100000\n30891 46180\n64510 96751\n16694 24972\n98759 100000\n62508 93768\n71003 100000\n34639 51789\n61844 92776\n51389 77000\n95587 100000\n885 1352\n89730 100000\n51702 77472\n46337 69367\n63535 95293\n23456 35082\n57705 86540\n94156 100000\n74059 100000\n14073 21073\n96639 100000\n6034 9034\n42238 63193\n3422 5153\n29884 44666\n46187 69140\n75942 100000\n87525 100000\n27893 41677\n53164 79675\n99003 100000\n33851 50586\n91142 100000\n70937 100000\n71766 100000\n52208 78241\n31884 47676\n64813 97208\n87291 100000\n30493 45580\n37168 55578\n59518 89267\n24429 36515\n31992 47836\n55195 82754\n62049 93090\n91269 100000\n92369 100000\n15504 23214\n86412 100000\n52553 78773\n71306 100000\n76995 100000\n67078 100000\n30386 45421\n95112 100000\n27842 41600\n55602 83354\n64218 96318\n70716 100000\n10665 16000\n83843 100000\n17095 25570\n41581 62223\n51177 76670\n94379 100000\n54809 82172\n56827 85183\n81853 100000\n60942 91410\n46377 69430\n50019 74934\n51764 77569\n68326 100000\n46691 69910\n28886 43165\n1206 1836\n99962 100000\n9181 13778\n64299 96434\n75249 100000\n34058 50903\n38979 58330\n76103 100000\n60114 90173\n54265 81346\n98069 100000\n87106 100000\n97673 100000\n22260 33265\n26625 39793\n74620 100000\n5442 8159\n67324 100000\n67855 100000\n90322 100000\n76359 100000\n70738 100000\n71952 100000\n85842 100000\n48893 73218\n23670 35392\n1189 1812\n38484 57576\n38933 58261\n4497 6760\n4404 6620\n57258 85858\n9899 14845\n89541 100000\n86977 100000\n32408 48460\n75069 100000\n59200 88778\n35801 53522\n33444 49990\n98696 100000\n55997 83943\n75728 100000\n86783 100000\n63430 95147\n52247 78306\n22165 33127\n95397 100000\n21045 31468\n53004 79437\n59695 89533\n46141 69069\n29299 43769\n60910 91367\n8174 12237\n29453 43994\n97720 100000\n78091 100000\n82032 100000\n14614 21879\n89412 100000\n4983 7488\n1106 1690\n7362 11022\n68054 100000\n61066 91597\n1881 2832\n32626 48784\n92780 100000\n20234 30260\n89240 100000\n37954 56758\n18663 27915\n7940 11890\n7388 11059\n38978 58329\n77528 100000\n66009 99019\n60675 91015\n12297 18444\n3299 4967\n25869 38652\n36545 54645\n58089 87125\n77961 100000\n72941 100000\n7326 10966\n20667 30904\n52842 79198\n25327 37838\n83056 100000\n62296 93467\n85360 100000\n31032 46398\n78457 100000\n60913 91371\n71968 100000\n27324 40827\n58024 87028\n39735 59474\n6612 9889\n65174 97753\n78513 100000\n68897 100000\n844 1282\n38709 57925\n11984 17975\n81037 100000\n3154 4753\n30530 45633\n76100 100000\n29103 43483\n81883 100000\n67809 100000\n20719 30979\n43933 65755\n90921 100000\n88049 100000\n22973 34342\n99498 100000\n50521 75694\n17559 26266\n51529 77211\n42677 63857\n12906 19348\n97986 100000\n77107 100000\n27664 41332\n2224 3353\n39074 58472\n38611 57775\n98189 100000\n4602 6919\n14189 21257\n37458 56009\n87460 100000\n78206 100000\n48294 72323\n69080 100000\n41778 62505\n92929 100000\n84166 100000\n23878 35709\n91589 100000\n47814 71607\n18974 28380\n47170 70629\n94616 100000\n23934 35798\n25950 38772\n24440 36533\n11159 16723\n45795 68548\n23078 34507\n59565 89342\n90742 100000\n11650 17469\n36165 54069\n25405 37964\n78623 100000\n16005 23968\n56949 85375\n5626 8432\n76346 100000\n64166 96239\n16586 24812\n27549 41159\n40524 60651\n10226 15345\n36106 53985\n1349 2048\n53568 80293\n32779 49008\n24138 36101\n35867 53616\n77444 100000\n39238 58729\n27165 40594\n45839 68615\n83735 100000\n51150 76631\n77524 100000\n92324 100000\n99567 100000\n76542 100000\n96555 100000\n95339 100000\n74263 100000\n92670 100000\n68996 100000\n79846 100000\n92750 100000\n53117 79608\n54813 82178\n26389 39447\n58610 87907\n54919 82338\n49106 73549\n43376 64899\n78303 100000\n34469 51526\n10051 15079\n11926 17885\n98188 100000\n1730 2608\n56801 85146\n58532 87795\n91225 100000\n88020 100000\n1605 2431\n95375 100000\n42125 63024\n95418 100000\n38837 58112\n98244 100000\n40613 60785\n58807 88197\n11632 17439\n6270 9384\n54412 81567\n70832 100000\n11622 17424\n16813 25144\n94269 100000\n45222 67679\n67101 100000\n67210 100000\n83533 100000\n10326 15494\n61759 92647\n47587 71266\n72638 100000\n99343 100000\n6052 9061\n85430 100000\n95777 100000\n87644 100000\n92710 100000\n98772 100000\n48079 72000\n80053 100000\n96879 100000\n44003 65853\n64393 96573\n29427 43955\n51446 77085\n36705 54865\n25694 38384\n98958 100000\n33439 49980\n72933 100000\n92628 100000\n85354 100000\n37731 56426\n28651 42804\n24904 37215\n85334 100000\n25995 38841\n70139 100000\n85156 100000\n49648 74382\n83472 100000\n41888 62669\n5918 8859\n68425 100000\n98315 100000\n30502 45596\n6241 9339\n79742 100000\n10212 15321\n7313 10946\n47257 70759\n64139 96199\n97206 100000\n88439 100000\n24566 36717\n95363 100000\n52694 78985\n38870 58159\n91737 100000\n25223 37681\n29770 44490\n18353 27459\n56465 84650\n57415 86094\n73295 100000\n52435 78588\n42153 63072\n22817 34115\n89182 100000\n91902 100000\n3537 5324\n11361 17032\n47146 70592\n89743 100000\n80791 100000\n66047 99079\n15870 23762\n94705 100000\n56902 85300\n77199 100000\n90511 100000\n73211 100000\n4969 7464\n6728 10065\n38802 58060\n99910 100000\n30929 46238\n8970 13451\n88699 100000\n38565 57704\n93278 100000\n21749 32519\n40071 59969\n22738 34002\n51556 77250\n81307 100000\n52367 78489\n76084 100000\n28108 42000\n37060 55416\n21057 31486\n1013 1548\n74296 100000\n52815 79161\n78000 100000\n76671 100000\n9102 13657\n7514 11259\n44478 66562\n56077 84063\n5007 7525\n96403 100000\n62957 94439\n28284 42267\n22953 34316\n43804 65553\n21042 31464\n54235 81300\n32264 48247\n46601 69773\n10358 15538\n75260 100000\n80617 100000\n64764 97138\n20514 30688\n32911 49207\n44051 65924\n40626 60806\n98998 100000\n57271 85879\n69020 100000\n79218 100000\n48715 72956\n12702 19041\n90360 100000\n30985 46325\n5068 7610\n22111 33050\n77267 100000\n57505 86234\n3141 4738\n5073 7618\n25726 38433\n57435 86127\n91380 100000\n89970 100000\n96853 100000\n19531 29193\n20988 31375\n30673 45849\n43798 65545\n36537 54634\n36824 55049\n13004 19492\n43186 64616\n26028 38895\n11583 17364\n73354 100000\n86864 100000\n68220 100000\n92271 100000\n98343 100000\n85118 100000\n59804 89699\n94100 100000\n68046 100000\n70502 100000\n91968 100000\n48242 72247\n1454 2202\n69974 100000\n70844 100000\n96185 100000\n7225 10815\n60409 90611\n13095 19626\n91294 100000\n93598 100000\n63699 95543\n92723 100000\n6698 10022\n88514 100000\n87146 100000\n54903 82314\n13511 20244\n57472 86183\n65581 98367\n20966 31342\n89877 100000\n77896 100000\n40623 60800\n63369 95059\n38277 57260\n57157 85700\n42554 63670\n15744 23580\n15362 22997\n4174 6284\n88431 100000\n42055 62918\n60072 90107\n36305 54279\n89783 100000\n15848 23726\n7602 11380\n77163 100000\n74870 100000\n55507 83205\n90168 100000\n23975 35857\n96479 100000\n19169 28663\n24247 36259\n52621 78872\n31434 47001\n88648 100000\n21229 31738\n49695 74453\n65856 98781\n48491 72612\n35354 52854\n56273 84349\n95025 100000\n45805 68563\n49217 73727\n47809 71599\n34358 51353\n3161 4763\n83697 100000\n2123 3201\n98736 100000\n92022 100000\n78749 100000\n88275 100000\n5715 8562\n72579 100000\n70289 100000\n23221 34723\n75125 100000\n11756 17624\n48513 72646\n31138 46558\n40495 60607\n30792 46033\n96333 100000\n23131 34589\n77487 100000\n24975 37314\n15341 22968\n99030 100000\n11290 16927\n84792 100000\n64707 97053\n11516 17268\n31139 46560\n87504 100000\n84631 100000\n9066 13603\n48848 73150\n45718 68432\n94293 100000\n26283 39291\n39176 58625\n88661 100000\n48031 71928\n93626 100000\n25078 37466\n82525 100000\n19493 29144\n26468 39563\n3333 5015\n58127 87181\n25314 37820\n40074 59974\n15502 23211\n22010 32899\n87513 100000\n5027 7553\n57592 86369\n19699 29451\n63981 95965\n64957 97423\n32016 47877\n29543 44132\n23490 35135\n28180 42113\n9136 13706\n5616 8418\n80832 100000\n78881 100000\n93150 100000\n29146 43545\n73848 100000\n21842 32656\n37807 56539\n12244 18368\n98049 100000\n12123 18190\n80266 100000\n34000 50813\n71264 100000\n17192 25724\n88533 100000\n40566 60713\n72016 100000\n26034 38904\n32027 47894\n48412 72496\n90730 100000\n41768 62492\n5097 7655\n42480 63560\n15376 23017\n9260 13897\n34439 51477\n88850 100000\n98104 100000\n9573 14353\n52926 79321\n57754 86622\n32087 47981\n21275 31802\n45597 68246\n19776 29563\n60890 91339\n53918 80822\n78057 100000\n15808 23670\n23849 35664\n76921 100000\n72141 100000\n65172 97749\n69082 100000\n21814 32616\n87918 100000\n13503 20233\n3370 5071\n58772 88149\n94529 100000\n89313 100000\n56482 84674\n8147 12199\n72824 100000\n6156 9215\n48666 72883\n40334 60360\n23945 35813\n80885 100000\n57310 85940\n63933 95890\n64276 96402\n19188 28689\n1509 2290\n52176 78192\n37087 55459\n29323 43804\n15851 23730\n69000 100000\n76876 100000\n82631 100000\n18096 27080\n90606 100000\n96290 100000\n789 1198\n60469 90713\n6120 9165\n81277 100000\n80088 100000\n77115 100000\n84760 100000\n18172 27192\n47735 71485\n95039 100000\n6069 9087\n15523 23243\n11915 17867\n73502 100000\n70309 100000\n13064 19579\n69058 100000\n99911 100000\n54757 82093\n75738 100000\n33914 50678\n87459 100000\n13099 19630\n82003 100000\n64099 96141\n91530 100000\n84234 100000\n599 913\n24492 36607\n22151 33107\n61332 92018\n51932 77829\n82975 100000\n21251 31770\n44206 66155\n19256 28794\n52543 78755\n42269 63244\n24909 37221\n38914 58229\n78321 100000\n29800 44533\n26102 39007\n93588 100000\n61970 92971\n81644 100000\n88518 100000\n7784 11652\n25775 38506\n3341 5025\n31358 46885\n29829 44576\n84790 100000\n78765 100000\n63642 95458\n22215 33198\n66442 99684\n96739 100000\n39550 59193\n91863 100000\n14166 21220\n48619 72815\n56915 85318\n79109 100000\n83671 100000\n38619 57788\n45284 67775\n94459 100000\n64035 96043\n66606 99942\n65573 98356\n65258 97886\n95885 100000\n17006 25437\n45287 67778\n35642 53283\n31814 47572\n20365 30455\n97556 100000\n98890 100000\n98524 100000\n13081 19605\n29869 44639\n78723 100000\n97223 100000\n99161 100000\n95290 100000\n51208 76718\n86946 100000\n8967 13446\n97076 100000\n81081 100000\n98092 100000\n56034 83998\n5388 8082\n86272 100000\n23539 35200\n48443 72538\n38087 56969\n71464 100000\n17861 26724\n76855 100000\n66134 99215\n21009 31408\n44612 66768\n15052 22533\n40377 60428\n4820 7250\n83581 100000\n53359 79969\n11124 16674\n57684 86509\n7111 10634\n51751 77549\n23040 34450\n23360 34932\n98377 100000\n32566 48694\n94900 100000\n53736 80550\n79003 100000\n36572 54681\n98180 100000\n19690 29438\n90623 100000\n36834 55067\n11184 16765\n32511 48609\n29025 43371\n42124 63022\n6590 9852\n16588 24815\n27124 40535\n54183 81228\n77630 100000\n58143 87202\n4584 6892\n50329 75406\n89835 100000\n47984 71864\n89449 100000\n25751 38468\n53369 79988\n24016 35920\n46077 68977\n60242 90370\n58639 87951\n11689 17529\n42519 63615\n19410 29026\n28852 43114\n67933 100000\n7486 11212\n78645 100000\n57486 86202\n10509 15767\n81376 100000\n44863 67131\n82478 100000\n28555 42652\n57712 86553\n84607 100000\n54558 81785\n97051 100000\n74804 100000\n57211 85784\n81553 100000\n2031 3060\n59226 88818\n52678 78957\n14900 22310\n17455 26113\n42429 63488\n22893 34229\n76110 100000\n64120 96172\n12126 18194\n96979 100000\n39696 59415\n8272 12382\n25350 37872\n77807 100000\n4189 6306\n87958 100000\n77381 100000\n85958 100000\n77132 100000\n5112 7676\n9060 13593\n17847 26700\n39292 58810\n28320 42322\n50786 76075\n65339 98004\n73055 100000\n44476 66558\n46760 70011\n20961 31334\n62870 94309\n62865 94302\n30443 45506\n62134 93226\n51129 76601\n47434 71036\n13476 20192\n34859 52111\n23103 34548\n77931 100000\n73767 100000\n810 1229\n5994 8974\n9480 14222\n26959 40287\n20070 30009\n43250 64713\n5657 8479\n66892 100000\n61896 92858\n25248 37717\n64236 96344\n18952 28348\n6644 9940\n90255 100000\n28339 42351\n55839 83708\n51946 77851\n46319 69338\n41564 62196\n68814 100000\n37748 56449\n91331 100000\n44920 67220\n56454 84633\n39344 58892\n72512 100000\n79959 100000\n56156 84185\n84442 100000\n73343 100000\n12286 18429\n75470 100000\n52637 78895\n93643 100000\n92228 100000\n71412 100000\n25855 38631\n22939 34296\n11610 17406\n71023 100000\n72517 100000\n22882 34214\n30310 45306\n67463 100000\n41638 62309\n5896 8824\n77236 100000\n98275 100000\n14201 21274\n86577 100000\n68298 100000\n14804 22159\n79484 100000\n45602 68255\n21859 32678\n19675 29417\n62815 94223\n17964 26888\n68470 100000\n23446 35064\n63986 95973\n83976 100000\n928 1416\n96648 100000\n56951 85377\n65318 97971\n93583 100000\n36112 53994\n62263 93420\n37339 55833\n94466 100000\n67856 100000\n55104 82622\n98084 100000\n96808 100000\n53828 80681\n32494 48584\n80106 100000\n35917 53693\n62009 93025\n61884 92839\n7001 10473\n57853 86772\n95304 100000\n78514 100000\n94628 100000\n41456 62043\n55154 82695\n51424 77056\n40744 60975\n78784 100000\n86029 100000\n63684 95522\n90312 100000\n19804 29602\n73578 100000\n99135 100000\n35749 53443\n63393 95090\n15559 23299\n34500 51578\n68638 100000\n91636 100000\n20954 31322\n46373 69423\n84044 100000\n89905 100000\n4599 6914\n24263 36284\n76280 100000\n22845 34155\n98913 100000\n60791 91189\n53627 80386\n19681 29426\n83551 100000\n70074 100000\n7295 10920\n15203 22758\n31321 46834\n17737 26531\n67226 100000\n41773 62498\n48596 72781\n22622 33821\n63079 94617\n79761 100000\n69972 100000\n77023 100000\n86111 100000\n18139 27144\n41245 61736\n46288 69292\n78726 100000\n41870 62641\n10725 16091\n65918 98879\n85673 100000\n3237 4882\n16872 25237\n81600 100000\n13753 20596\n81297 100000\n90671 100000\n93646 100000\n91557 100000\n89037 100000\n3822 5751\n85089 100000\n60116 90176\n25444 38017\n30664 45835\n88923 100000\n76396 100000\n99812 100000\n10667 16003\n8431 12618\n50807 76110\n53555 80272\n7012 10488\n51931 77827\n16811 25142\n52813 79158\n93994 100000\n60728 91095\n62831 94249\n59855 89773\n99916 100000\n49580 74285\n60418 90627\n29611 44234\n12496 18733\n69321 100000\n65203 97799\n72981 100000\n51644 77383\n66322 99499\n61006 91502\n33305 49788\n80585 100000\n79636 100000\n23860 35682\n963 1466\n68747 100000\n45742 68464\n86110 100000\n49290 73835\n63723 95581\n56073 84057\n64951 97414\n90413 100000\n14909 22326\n35553 53145\n65314 97966\n32603 48748\n38690 57894\n36978 55285\n42418 63474\n96035 100000\n82268 100000\n98003 100000\n71731 100000\n54980 82434\n68118 100000\n93951 100000\n77661 100000\n14158 21207\n44849 67111\n80572 100000\n98374 100000\n65564 98345\n21160 31635\n96151 100000\n79455 100000\n75242 100000\n11878 17810\n90307 100000\n1826 2748\n91341 100000\n48700 72933\n34836 52081\n8660 12970\n99061 100000\n49054 73468\n99681 100000\n60376 90564\n24683 36887\n97325 100000\n39827 59612\n43899 65702\n3966 5977\n509 772\n99682 100000\n94065 100000\n17209 25751\n94905 100000\n11107 16650\n44015 65871\n94730 100000\n75486 100000\n61845 92777\n56404 84560\n89795 100000\n97615 100000\n26921 40231\n45554 68182\n84875 100000\n96602 100000\n42283 63267\n82776 100000\n3821 5750\n15464 23153\n81170 100000\n26916 40223\n53100 79581\n27087 40480\n39130 58553\n58256 87373\n6754 10105\n47409 70999\n49597 74314\n43322 64819\n24428 36514\n37187 55609\n82488 100000\n69764 100000\n83690 100000\n57409 86086\n9853 14781\n42828 64080\n99743 100000\n63184 94775\n57425 86110\n42927 64230\n37114 55497\n51468 77118\n5207 7821\n43182 64611\n96841 100000\n38114 57008\n6786 10151\n72480 100000\n15913 23826\n37752 56455\n90729 100000\n62561 93848\n48427 72515\n74454 100000\n27403 40944\n63136 94702\n42152 63070\n98671 100000\n98319 100000\n71777 100000\n29100 43479\n4336 6516\n24677 36880\n73328 100000\n89212 100000\n64106 96151\n31585 47227\n81399 100000\n42883 64163\n68375 100000\n81459 100000\n70286 100000\n37938 56738\n26624 39792\n62168 93275\n96891 100000\n63340 95014\n45040 67402\n26970 40304\n31198 46642\n50297 75356\n56809 85158\n59893 89831\n7550 11309\n4452 6690\n76232 100000\n2887 4352\n2135 3219\n7630 11419\n36401 54436\n93328 100000\n96177 100000\n81247 100000\n96435 100000\n64077 96105\n67867 100000\n99665 100000\n79956 100000\n83985 100000\n54511 81712\n43326 64824\n29975 44802\n7347 10998\n45480 68073\n30668 45842\n46859 70163\n71780 100000\n2992 4509\n38740 57969\n11859 17778\n71181 100000\n59169 88732\n17305 25895\n88606 100000\n30869 46149\n50497 75659\n72525 100000\n94833 100000\n88324 100000\n98713 100000\n51618 77348\n76936 100000\n26345 39381\n35639 53278\n54347 81466\n92333 100000\n10882 16317\n92531 100000\n61784 92682\n21013 31414\n34101 50968\n43413 64956\n77900 100000\n22867 34190\n1704 2572\n39165 58609\n63330 94998\n39188 58646\n71843 100000\n65715 98573\n5246 7879\n97844 100000\n14531 21766\n18860 28210\n53040 79491\n7835 11727\n41544 62169\n6391 9566\n50577 75780\n66546 99849\n80313 100000\n65079 97606\n72328 100000\n67477 100000\n7035 10520\n28581 42690\n67991 100000\n25222 37679\n79793 100000\n16046 24028\n47864 71683\n11545 17310\n51944 77847\n58591 87880\n30711 45911\n56451 84628\n56548 84775\n59629 89439\n72086 100000\n61316 91992\n81820 100000\n5201 7812\n18420 27565\n56312 84416\n55648 83421\n1314 1993\n75895 100000\n69420 100000\n43642 65310\n24890 37194\n1122 1716\n67612 100000\n44661 66838\n65405 98104\n96317 100000\n8691 13019\n78974 100000\n84411 100000\n23667 35388\n27945 41756\n32237 48209\n76448 100000\n76973 100000\n113 173\n97061 100000\n79489 100000\n67113 100000\n59223 88813\n39454 59049\n32696 48883\n3851 5797\n60197 90298\n23491 35137\n31278 46766\n8063 12072\n94531 100000\n92310 100000\n50586 75794\n89833 100000\n87398 100000\n81721 100000\n78105 100000\n4732 7118\n52118 78113\n64177 96258\n92108 100000\n92256 100000\n87265 100000\n12208 18314\n13218 19806\n22311 33341\n60453 90684\n99488 100000\n49794 74604\n49022 73416\n20463 30607\n31026 46388\n48623 72820\n23148 34612\n12164 18241\n85817 100000\n82693 100000\n53099 79580\n89987 100000\n95512 100000\n33306 49789\n63936 95896\n73688 100000\n9497 14245\n68685 100000\n34097 50962\n87539 100000\n62351 93551\n11895 17836\n4606 6925\n78690 100000\n19754 29532\n9916 14874\n92104 100000\n3597 5407\n17325 25924\n96089 100000\n67932 100000\n5331 7999\n51097 76557\n17729 26520\n90753 100000\n96272 100000\n30833 46097\n53489 80174\n98001 100000\n33111 49506\n25427 37995\n98313 100000\n5083 7635\n68515 100000\n70837 100000\n74394 100000\n11700 17544\n5695 8532\n29689 44366\n94922 100000\n25912 38716\n85584 100000\n78162 100000\n75205 100000\n20413 30531\n5809 8696\n1534 2323\n98601 100000\n14545 21785\n81790 100000\n46473 69582\n73075 100000\n40032 59911\n50863 76198\n9022 13534\n1515 2299\n44983 67313\n38893 58195\n89780 100000\n26069 38959\n34028 50855\n85520 100000\n82906 100000\n26817 40073\n3888 5854\n33854 50591\n67660 100000\n94926 100000\n99540 100000\n70829 100000\n20908 31252\n17784 26603\n22415 33500\n15714 23536\n40798 61061\n54625 81887\n66815 100000\n14655 21934\n40226 60201\n79547 100000\n42262 63234\n26677 39866\n51234 76759\n97137 100000\n52438 78593\n76452 100000\n95979 100000\n71157 100000\n29325 43807\n56470 84658\n67762 100000\n24098 36041\n77569 100000\n79096 100000\n87456 100000\n47941 71797\n56930 85344\n54110 81115\n66971 100000\n50191 75192\n84279 100000\n91803 100000\n35653 53299\n25284 37775\n66741 100000\n10345 15522\n70658 100000\n44498 66595\n64129 96185\n5682 8512\n3908 5890\n91884 100000\n43694 65385\n20378 30474\n26349 39388\n15041 22516\n27156 40581\n14888 22292\n23732 35486\n75955 100000\n89213 100000\n84626 100000\n70039 100000\n75673 100000\n51965 77878\n79630 100000\n11359 17029\n75380 100000\n67002 100000\n35607 53228\n34918 52201\n71085 100000\n11224 16827\n45010 67353\n34481 51545\n12607 18902\n45346 67867\n33259 49723\n91023 100000\n46105 69017\n96258 100000\n84823 100000\n87196 100000\n41410 61978\n25331 37844\n45418 67978\n19958 29836\n48370 72433\n3293 4960\n58410 87618\n51193 76695\n62746 94120\n4151 6252\n69980 100000\n85482 100000\n7506 11244\n16169 24212\n23579 35258\n86629 100000\n37198 55627\n53720 80530\n46448 69544\n34993 52313\n4284 6440\n33304 49787\n35705 53381\n99018 100000\n93778 100000\n89306 100000\n99234 100000\n93868 100000\n77651 100000\n75134 100000\n36381 54401\n61311 91984\n50725 75986\n38770 58012\n1966 2957\n10968 16449\n77325 100000\n96986 100000\n2632 3968\n15654 23445\n48483 72599\n44978 67306\n84331 100000\n33423 49955\n78188 100000\n85918 100000\n97100 100000\n6280 9400\n20527 30705\n70182 100000\n15406 23065\n31981 47820\n53951 80870\n12397 18592\n31982 47821\n59740 89601\n49153 73625\n40100 60013\n49939 74815\n25117 37525\n30207 45149\n92506 100000\n30337 45345\n57531 86276\n49702 74465\n71416 100000\n86597 100000\n15954 23888\n175 263\n90731 100000\n56876 85259\n85791 100000\n92584 100000\n45063 67435\n16181 24228\n25334 37848\n16352 24474\n81634 100000\n98968 100000\n76715 100000\n94439 100000\n54952 82390\n76670 100000\n57203 85771\n72255 100000\n23917 35770\n66358 99552\n52963 79381\n79682 100000\n76392 100000\n34050 50890\n59261 88866\n92816 100000\n71373 100000\n6732 10072\n38179 57107\n22995 34377\n58001 86995\n15993 23949\n23668 35389\n38526 57642\n76382 100000\n7675 11490\n52344 78454\n83366 100000\n85558 100000\n99200 100000\n60042 90065\n17796 26619\n53761 80589\n73248 100000\n83733 100000\n30430 45486\n85396 100000\n6969 10421\n70356 100000\n62557 93842\n78672 100000\n65986 98983\n85116 100000\n53629 80389\n35933 53719\n29278 43742\n41404 61970\n50824 76137\n18079 27058\n645 983\n32807 49055\n21831 32641\n68191 100000\n59104 88629\n74370 100000\n74775 100000\n73978 100000\n50130 75101\n81678 100000\n95628 100000\n88969 100000\n42145 63058\n97584 100000\n26707 39911\n61232 91860\n87899 100000\n20650 30881\n31832 47594\n66509 99787\n5609 8408\n83716 100000\n39506 59126\n78973 100000\n61524 92298\n30257 45223\n60551 90830\n36699 54856\n26351 39390\n75437 100000\n44795 67030\n10001 14999\n63222 94829\n98271 100000\n38766 58006\n26877 40162\n27973 41796\n98819 100000\n47121 70551\n5761 8629\n7228 10819\n81282 100000\n23068 34492\n41616 62273\n88001 100000\n29079 43449\n51846 77703\n48225 72221\n15908 23819\n31153 46580\n9539 14302\n85620 100000\n69382 100000\n46811 70090\n93738 100000\n70069 100000\n56359 84490\n63553 95323\n98912 100000\n81014 100000\n18024 26978\n92815 100000\n91522 100000\n86744 100000\n72690 100000\n68639 100000\n42520 63617\n85170 100000\n83188 100000\n93761 100000\n39390 58952\n79903 100000\n38742 57973\n48871 73187\n28831 43081\n65088 97619\n9021 13533\n12976 19454\n76719 100000\n53650 80425\n8504 12731\n41569 62205\n57584 86357\n99823 100000\n7103 10622\n79652 100000\n90702 100000\n71060 100000\n3194 4817\n98111 100000\n3629 5451\n58315 87467\n11704 17551\n81969 100000\n75704 100000\n10675 16014\n22886 34221\n33438 49979\n69900 100000\n4413 6634\n62613 93925\n95047 100000\n34988 52304\n73615 100000\n78983 100000\n89017 100000\n23408 34999\n55545 83265\n6760 10114\n36257 54203\n8695 13027\n95621 100000\n56327 84442\n38890 58190\n84744 100000\n22614 33810\n21946 32804\n10544 15819\n53019 79458\n41109 61529\n99193 100000\n74673 100000\n98669 100000\n49172 73653\n33756 50445\n35446 52989\n31302 46804\n43693 65383\n82018 100000\n16955 25360\n1884 2837\n83632 100000\n55343 82968\n71689 100000\n56709 85008\n14586 21840\n61552 92337\n87220 100000\n26100 39004\n84687 100000\n20098 30053\n15889 23791\n66390 99604\n72 110\n26437 39517\n34489 51557\n84381 100000\n50923 76291\n72089 100000\n11158 16721\n78762 100000\n40038 59919\n27170 40601\n34315 51291\n67005 100000\n38856 58139\n3745 5632\n55632 83399\n88553 100000\n73265 100000\n71281 100000\n40610 60779\n69252 100000\n56489 84686\n17803 26630\n76086 100000\n7457 11163\n12727 19080\n35234 52669\n18244 27298\n75671 100000\n76158 100000\n666 1018\n25764 38489\n49288 73833\n12211 18317\n26140 39065\n57793 86684\n13136 19686\n31255 46731\n34825 52063\n52500 78688\n10359 15539\n53541 80250\n91690 100000\n72490 100000\n60344 90520\n61098 91644\n93308 100000\n16462 24632\n42258 63227\n40942 61277\n79771 100000\n3044 4587\n70446 100000\n39516 59141\n55881 83768\n73151 100000\n93962 100000\n38844 58122\n67378 100000\n13560 20320\n17083 25555\n72335 100000\n84712 100000\n73906 100000\n24483 36593\n67322 100000\n17863 26728\n18826 28160\n31451 47025\n83477 100000\n88718 100000\n58957 88416\n11676 17509\n10098 15152\n61667 92504\n1830 2754\n81506 100000\n47721 71463\n67207 100000\n8500 12727\n18128 27127\n12542 18806\n61418 92140\n8269 12377\n18971 28375\n11523 17277\n90161 100000\n94139 100000\n12179 18266\n14845 22227\n7099 10617\n10235 15359\n31878 47666\n87709 100000\n46773 70029\n54245 81315\n32172 48110\n65980 98975\n60254 90387\n83305 100000\n82367 100000\n74167 100000\n46044 68927\n70575 100000\n46116 69032\n90680 100000\n61779 92674\n22980 34354\n25977 38816\n66545 99848\n40282 60275\n68976 100000\n27158 40584\n66203 99323\n87898 100000\n89161 100000\n29485 44043\n36443 54493\n30294 45280\n76712 100000\n47200 70671\n5349 8026\n60602 90904\n64289 96419\n88147 100000\n37843 56596\n11 17\n71440 100000\n78028 100000\n95016 100000\n14469 21675\n23254 34774\n72757 100000\n20252 30289\n27140 40558\n58878 88303\n84208 100000\n76630 100000\n83072 100000\n68689 100000\n48109 72047\n4916 7388\n93712 100000\n35322 52805\n50006 74915\n13378 20050\n90806 100000\n54058 81038\n94826 100000\n34490 51558\n44966 67288\n67394 100000\n10617 15928\n94073 100000\n98122 100000\n47183 70646\n11123 16673\n44006 65858\n15911 23823\n96982 100000\n25307 37808\n11427 17132\n17864 26729\n97928 100000\n23291 34826\n69415 100000\n93491 100000\n88098 100000\n98919 100000\n67575 100000\n56646 84917\n24188 36172\n9187 13785\n22662 33885\n89487 100000\n3206 4835\n45241 67711\n6743 10087\n57225 85807\n43234 64691\n65372 98055\n52900 79280\n32389 48432\n13693 20508\n69934 100000\n1248 1899\n65616 98425\n60813 91222\n64160 96229\n52994 79422\n26002 38853\n10421 15635\n6334 9483\n50748 76022\n20615 30829\n79408 100000\n55774 83617\n90525 100000\n19624 29336\n12878 19307\n22085 33012\n25697 38387\n33561 50167\n14478 21685\n63987 95975\n47394 70974\n29896 44685\n42102 62989\n87042 100000\n87068 100000\n58187 87264\n66386 99596\n36314 54293\n86429 100000\n84743 100000\n90366 100000\n99852 100000\n49058 73475\n44230 66188\n80615 100000\n20470 30619\n61077 91615\n46217 69187\n10712 16073\n65999 99003\n20074 30016\n41667 62351\n14141 21179\n24687 36893\n50692 75939\n76517 100000\n16289 24386\n51403 77024\n60807 91213\n24423 36507\n63512 95258\n7471 11188\n13341 19992\n96682 100000\n77126 100000\n92208 100000\n78203 100000\n14669 21958\n51768 77576\n48423 72510\n64265 96387\n52088 78066\n66254 99394\n77642 100000\n84239 100000\n88546 100000\n98316 100000\n1033 1580\n76318 100000\n32487 48572\n58079 87111\n59831 89738\n93597 100000\n97431 100000\n73791 100000\n54859 82244\n12526 18779\n15146 22672\n68069 100000\n83754 100000\n58101 87144\n76890 100000\n12735 19092\n92503 100000\n17955 26875\n65603 98406\n45959 68799\n37823 56567\n73691 100000\n44454 66527\n15254 22838\n54010 80960\n16729 25025\n24054 35978\n86465 100000\n65000 97486\n72931 100000\n96742 100000\n35452 52999\n76453 100000\n20812 31117\n91555 100000\n32474 48553\n35894 53654\n43895 65695\n58170 87239\n94957 100000\n97027 100000\n41930 62732\n80630 100000\n50868 76204\n84210 100000\n46887 70203\n59526 89280\n6044 9048\n39128 58550\n73539 100000\n5029 7556\n60810 91218\n97606 100000\n76274 100000\n41309 61829\n64298 96432\n95428 100000\n27185 40619\n25241 37707\n44881 67156\n33693 50356\n16918 25307\n73658 100000\n34959 52260\n7383 11052\n91781 100000\n37718 56405\n73751 100000\n62950 94430\n83206 100000\n36025 53854\n66557 99864\n49660 74400\n18729 28018\n39831 59618\n77022 100000\n10353 15531\n66677 100000\n23297 34836\n65612 98419\n10736 16107\n20694 30945\n29188 43607\n2797 4219\n15696 23509\n72433 100000\n98592 100000\n54414 81569\n74705 100000\n65016 97511\n71327 100000\n62544 93821\n48169 72139\n78528 100000\n44961 67282\n83466 100000\n24556 36701\n62025 93050\n55762 83598\n39332 58875\n44811 67054\n77343 100000\n62139 93232\n38780 58025\n91670 100000\n24778 37028\n53321 79910\n69723 100000\n82433 100000\n54222 81281\n98087 100000\n20742 31013\n49860 74701\n9793 14691\n83901 100000\n85030 100000\n38361 57385\n88617 100000\n68114 100000\n40655 60845\n38838 58113\n55469 83153\n45114 67512\n62438 93666\n85803 100000\n90196 100000\n27779 41503\n5661 8484\n32653 48822\n25128 37538\n67916 100000\n30719 45924\n79124 100000\n85590 100000\n68387 100000\n28618 42753\n14854 22242\n32957 49272\n6091 9123\n21363 31934\n58730 88086\n64146 96210\n50766 76046\n31071 46459\n25004 37353\n2484 3748\n31046 46418\n48534 72680\n79899 100000\n1420 2154\n70363 100000\n20043 29966\n17918 26813\n91745 100000\n27774 41496\n78437 100000\n22698 33937\n2391 3608\n1988 2990\n94136 100000\n54495 81690\n67739 100000\n10348 15525\n49539 74219\n30025 44878\n1935 2911\n11131 16683\n26075 38966\n84246 100000\n37810 56543\n47059 70452\n94843 100000\n60142 90215\n29664 44325\n88565 100000\n77241 100000\n76036 100000\n25894 38688\n97177 100000\n85059 100000\n69116 100000\n52913 79302\n6131 9180\n69206 100000\n97774 100000\n9074 13616\n55159 82703\n45149 67566\n33627 50261\n35910 53679\n68865 100000\n40968 61314\n50143 75121\n3578 5380\n85323 100000\n78090 100000\n78342 100000\n84869 100000\n137 206\n41829 62580\n36720 54892\n29879 44656\n48867 73182\n21654 32374\n40043 59927\n79782 100000\n98487 100000\n16599 24832\n98512 100000\n57566 86326\n29600 44217\n29138 43531\n46441 69532\n81543 100000\n39067 58463\n38682 57882\n42079 62954\n83382 100000\n30591 45721\n34795 52021\n63871 95796\n50402 75511\n55540 83256\n10852 16271\n83864 100000\n93845 100000\n83780 100000\n63063 94595\n22593 33777\n46820 70104\n55541 83258\n73773 100000\n3352 5043\n76618 100000\n83512 100000\n8140 12188\n93304 100000\n23111 34560\n47921 71769\n30159 45072\n48398 72472\n93930 100000\n80670 100000\n67832 100000\n93835 100000\n59891 89828\n49225 73738\n83819 100000\n13196 19774\n85194 100000\n48493 72615\n6374 9541\n81107 100000\n54486 81676\n34815 52048\n55998 83944\n40962 61305\n96856 100000\n47909 71752\n64337 96495\n7356 11012\n64307 96448\n65872 98807\n8570 12824\n68312 100000\n82746 100000\n31599 47250\n72718 100000\n77959 100000\n53606 80353\n73197 100000\n90969 100000\n6267 9379\n69768 100000\n16750 25056\n73183 100000\n61409 92129\n87368 100000\n33047 49407\n20113 30076\n66476 99738\n65281 97920\n1269 1930\n47498 71128\n21915 32759\n91525 100000\n61467 92205\n8030 12021\n76593 100000\n8064 12073\n34798 52024\n655 1002\n62540 93815\n68705 100000\n97506 100000\n5171 7766\n91763 100000\n85295 100000\n75757 100000\n26182 39132\n94976 100000\n12277 18415\n64807 97199\n40773 61024\n20259 30301\n75233 100000\n90370 100000\n90579 100000\n77607 100000\n44236 66199\n72275 100000\n90308 100000\n90769 100000\n57476 86188\n88564 100000\n79494 100000\n60232 90351\n13115 19654\n24380 36447\n54553 81777\n98304 100000\n64714 97062\n50016 74928\n5086 7639\n57048 85526\n13789 20651\n58383 87572\n63904 95846\n18830 28166\n86222 100000\n37006 55330\n50972 76365\n91259 100000\n36508 54587\n51422 77052\n66418 99650\n55387 83032\n33166 49588\n8580 12842\n44399 66448\n73012 100000\n80533 100000\n57056 85541\n79053 100000\n9571 14351\n46316 69333\n55178 82730\n98544 100000\n51917 77805\n80676 100000\n32718 48917\n71428 100000\n47998 71886\n72002 100000\n97 148\n46240 69221\n84123 100000\n94953 100000\n90291 100000\n55289 82891\n90573 100000\n12828 19232\n99375 100000\n51115 76582\n8379 12545\n86823 100000\n23778 35554\n49620 74343\n60714 91073\n48999 73383\n29315 43792\n33287 49761\n93374 100000\n24612 36788\n76169 100000\n53254 79807\n25361 37891\n9719 14578\n58120 87172\n25656 38325\n90018 100000\n2363 3566\n20634 30859\n6936 10372\n14105 21125\n75265 100000\n84108 100000\n43197 64631\n85754 100000\n68184 100000\n87971 100000\n91161 100000\n39861 59662\n63336 95008\n97216 100000\n52537 78746\n38764 58003\n46239 69219\n90125 100000\n88900 100000\n49886 74740\n50136 75109\n14260 21365\n85431 100000\n60718 91078\n19321 28888\n74854 100000\n13079 19601\n83461 100000\n66690 100000\n93878 100000\n94984 100000\n82152 100000\n87067 100000\n8239 12333\n75218 100000\n6859 10260\n93918 100000\n22257 33260\n96958 100000\n9408 14111\n16935 25330\n25934 38747\n17291 25873\n87735 100000\n55529 83239\n57567 86328\n31717 47436\n33933 50706\n27689 41367\n4158 6262\n15298 22906\n1406 2131\n25497 38097\n18113 27108\n81658 100000\n31239 46707\n72070 100000\n93348 100000\n77814 100000\n88105 100000\n56713 85014\n21397 31985\n22169 33135\n64374 96548\n48604 72793\n93676 100000\n19356 28938\n8871 13294\n90465 100000\n94353 100000\n75442 100000\n48331 72374\n17274 25846\n27485 41062\n77432 100000\n56085 84076\n37123 55509\n19990 29885\n16710 24996\n54675 81965\n37820 56562\n91663 100000\n28316 42316\n51697 77465\n21511 32162\n75528 100000\n57835 86744\n36348 54350\n87826 100000\n53074 79542\n37480 56042\n46916 70245\n84863 100000\n44750 66966\n30694 45882\n9446 14171\n53358 79967\n35576 53182\n98973 100000\n76903 100000\n57585 86358\n74345 100000\n17500 26182\n18559 27765\n32179 48121\n52954 79366\n78945 100000\n26379 39430\n63146 94718\n29755 44466\n58971 88437\n20038 29959\n84658 100000\n51907 77787\n41099 61513\n76810 100000\n84366 100000\n81611 100000\n25245 37713\n92142 100000\n46787 70052\n84392 100000\n35236 52671\n19965 29848\n87608 100000\n97106 100000\n20073 30014\n88492 100000\n38967 58312\n15605 23371\n50077 75018\n12888 19320\n24810 37075\n40735 60963\n70418 100000\n18337 27436\n29638 44282\n60696 91045\n84503 100000\n23850 35665\n5603 8400\n28792 43017\n61895 92856\n13406 20088\n24418 36498\n63694 95535\n65233 97847\n10038 15059\n60928 91390\n64442 96640\n53727 80539\n63264 94896\n19989 29884\n43535 65139\n42098 62982\n62302 93476\n68354 100000\n15232 22800\n18781 28094\n91116 100000\n80771 100000\n13239 19836\n4228 6363\n77213 100000\n65670 98505\n50841 76163\n28029 41881\n69241 100000\n43442 65001\n40789 61048\n25377 37919\n9339 14011\n58070 87099\n27342 40852\n78487 100000\n51127 76598\n31680 47385\n19929 29790\n33335 49832\n10041 15064\n51531 77213\n73167 100000\n95372 100000\n33281 49753\n17244 25801\n73948 100000\n37562 56160\n78178 100000\n45525 68139\n13109 19645\n3434 5169\n38920 58237\n93957 100000\n23423 35023\n32581 48716\n42104 62993\n34528 51622\n85550 100000\n77013 100000\n8377 12541\n4752 7146\n54046 81019\n25464 38046\n1522 2307\n76159 100000\n42785 64017\n22475 33594\n34047 50886\n70255 100000\n5565 8345\n18819 28151\n80 121\n18236 27288\n30143 45046\n18855 28202\n77697 100000\n52628 78882\n24486 36598\n91021 100000\n98920 100000\n22486 33609\n41827 62577\n5841 8743\n94769 100000\n64508 96747\n81729 100000\n80400 100000\n10699 16053\n47624 71315\n53534 80241\n88583 100000\n40098 60009\n49348 73928\n4689 7051\n2592 3905\n9629 14434\n30164 45079\n35958 53751\n46984 70341\n90164 100000\n4666 7015\n38568 57709\n32976 49300\n54064 81046\n79732 100000\n4595 6909\n79660 100000\n22534 33686\n62932 94405\n23280 34811\n85088 100000\n56914 85317\n43488 65069\n36199 54120\n5255 7891\n16171 24215\n85359 100000\n32097 47997\n13141 19693\n22423 33512\n24996 37344\n22520 33662\n90209 100000\n57134 85660\n8275 12386\n51099 76559\n22806 34099\n7019 10497\n14016 20993\n55592 83340\n30262 45231\n4106 6181\n44322 66333\n50650 75882\n13197 19775\n16913 25299\n51997 77927\n33679 50337\n60123 90187\n17546 26250\n89208 100000\n54716 82029\n86014 100000\n64430 96623\n89123 100000\n23204 34695\n24972 37309\n67376 100000\n43020 64364\n88292 100000\n29350 43843\n64304 96442\n79985 100000\n61243 91880\n12796 19181\n53165 79676\n31299 46799\n51029 76451\n28323 42328\n24951 37280\n309 465\n4089 6156\n17374 25995\n49297 73846\n31334 46849\n31701 47415\n38758 57996\n23177 34653\n10850 16268\n11816 17714\n53781 80617\n88599 100000\n56030 83992\n41337 61876\n55368 83006\n19663 29399\n31246 46719\n70769 100000\n12511 18756\n2537 3826\n10516 15776\n21143 31609\n41902 62691\n12823 19223\n92170 100000\n42700 63890\n94708 100000\n48364 72425\n72571 100000\n33016 49359\n90506 100000\n38454 57532\n72996 100000\n21082 31524\n56941 85363\n31422 46983\n82485 100000\n24411 36489\n33059 49427\n61510 92276\n61850 92785\n68650 100000\n29059 43419\n4051 6104\n57651 86458\n23859 35681\n39234 58724\n42202 63140\n72647 100000\n90780 100000\n37481 56043\n21119 31575\n90967 100000\n79443 100000\n63938 95898\n58621 87922\n69454 100000\n93745 100000\n19359 28942\n37045 55392\n12049 18076\n11304 16949\n83156 100000\n34838 52083\n81237 100000\n48089 72016\n52166 78180\n16220 24286\n54522 81727\n67794 100000\n70528 100000\n47466 71081\n76502 100000\n74495 100000\n94374 100000\n20132 30108\n33290 49765\n88421 100000\n14487 21696\n60092 90137\n46273 69270\n59413 89104\n12399 18595\n69034 100000\n41285 61795\n13555 20313\n77037 100000\n49972 74860\n84205 100000\n76050 100000\n58958 88418\n72970 100000\n42293 63285\n10989 16479\n14019 20997\n62626 93943\n11490 17230\n47159 70612\n21270 31795\n33723 50401\n31926 47739\n64039 96050\n17928 26831\n74142 100000\n87914 100000\n16703 24986\n39645 59337\n43641 65308\n91334 100000\n88757 100000\n62790 94185\n84670 100000\n45412 67970\n16424 24579\n42090 62970\n76393 100000\n2025 3048\n45482 68075\n29803 44538\n79837 100000\n14585 21839\n72656 100000\n79674 100000\n11450 17170\n74622 100000\n54737 82062\n87850 100000\n68353 100000\n67373 100000\n69369 100000\n84278 100000\n65961 98945\n68271 100000\n75047 100000\n16309 24417\n63105 94658\n67576 100000\n61335 92022\n45387 67930\n52474 78647\n60669 91005\n3297 4965\n73397 100000\n15318 22934\n79966 100000\n21509 32158\n7400 11076\n80767 100000\n6214 9299\n88927 100000\n31873 47658\n89164 100000\n37961 56770\n572 867\n3572 5372\n22748 34018\n38584 57733\n61209 91822\n38081 56958\n17096 25572\n11796 17690\n81180 100000\n34207 51131\n35311 52788\n92106 100000\n75593 100000\n3643 5473\n45430 67995\n36869 55121\n73111 100000\n49208 73711\n91000 100000\n65406 98105\n74628 100000\n96528 100000\n40692 60900\n30887 46174\n40749 60984\n998 1526\n55017 82491\n57931 86889\n74098 100000\n85276 100000\n40904 61218\n94566 100000\n19643 29369\n75462 100000\n45313 67816\n54946 82379\n25927 38738\n42486 63570\n4940 7424\n51014 76428\n25411 37974\n65388 98078\n81092 100000\n66567 99880\n677 1032\n14919 22340\n64987 97466\n69083 100000\n86975 100000\n53810 80654\n94809 100000\n38021 56863\n22174 33143\n95873 100000\n97943 100000\n85062 100000\n45051 67415\n55524 83231\n5987 8961\n23116 34567\n71158 100000\n91320 100000\n60723 91087\n13421 20111\n39171 58618\n9349 14028\n54634 81902\n34846 52093\n11570 17346\n97566 100000\n49706 74471\n74434 100000\n75504 100000\n35533 53118\n9981 14969\n77359 100000\n56298 84393\n20606 30814\n68985 100000\n37282 55749\n83563 100000\n76449 100000\n68491 100000\n61015 91518\n29411 43931\n42276 63257\n45918 68737\n507 769\n65991 98991\n13285 19906\n3391 5104\n57937 86897\n78334 100000\n59616 89420\n38165 57087\n76893 100000\n89134 100000\n7331 10974\n60692 91039\n72116 100000\n92160 100000\n18549 27747\n95097 100000\n67922 100000\n6513 9734\n98807 100000\n88719 100000\n83630 100000\n47057 70450\n71370 100000\n45862 68649\n48508 72638\n15302 22913\n19463 29106\n49612 74332\n35165 52565\n95665 100000\n68266 100000\n10165 15249\n31057 46437\n13542 20292\n63719 95574\n27954 41769\n7683 11503\n22385 33453\n8690 13017\n73551 100000\n65933 98901\n89070 100000\n76732 100000\n62198 93322\n56443 84615\n33343 49844\n71123 100000\n67550 100000\n60489 90741\n4429 6653\n86263 100000\n45852 68634\n43366 64883\n32828 49083\n57438 86131\n74421 100000\n31306 46810\n80698 100000\n96862 100000\n75091 100000\n99515 100000\n56107 84107\n80085 100000\n58090 87126\n82763 100000\n15936 23862\n67653 100000\n71359 100000\n92875 100000\n47039 70424\n94973 100000\n1301 1975\n50961 76348\n9922 14884\n77148 100000\n40674 60873\n93060 100000\n6708 10034\n47990 71872\n19508 29162\n31665 47361\n76678 100000\n62421 93642\n88238 100000\n71620 100000\n72740 100000\n50431 75554\n61892 92853\n69346 100000\n18920 28302\n75919 100000\n31268 46751\n44424 66480\n99391 100000\n82461 100000\n73080 100000\n5132 7704\n17186 25714\n3467 5223\n60571 90858\n46192 69147\n88204 100000\n23106 34552\n13386 20061\n95986 100000\n83676 100000\n94048 100000\n75192 100000\n99762 100000\n58890 88320\n27283 40763\n94287 100000\n42806 64047\n65508 98263\n53037 79485\n15323 22941\n8479 12691\n36418 54458\n78053 100000\n60388 90580\n59991 89988\n31484 47075\n84360 100000\n57139 85670\n29846 44604\n54321 81426\n1494 2263\n9433 14153\n24793 37050\n61496 92256\n93295 100000\n31544 47168\n61224 91846\n69835 100000\n32654 48823\n82319 100000\n18697 27969\n83628 100000\n91560 100000\n16766 25078\n99830 100000\n44280 66265\n89718 100000\n36741 54925\n99742 100000\n78052 100000\n74604 100000\n49581 74287\n86656 100000\n28990 43316\n83786 100000\n17298 25885\n8766 13135\n96895 100000\n66455 99705\n79181 100000\n30692 45879\n74824 100000\n45929 68756\n52502 78691\n53927 80836\n77994 100000\n80513 100000\n73313 100000\n58336 87501\n25073 37458\n73800 100000\n88861 100000\n35325 52810\n25457 38038\n99209 100000\n10465 15698\n28455 42513\n90633 100000\n12341 18512\n87633 100000\n26875 40158\n99867 100000\n98266 100000\n9153 13731\n89864 100000\n22293 33314\n90022 100000\n30176 45097\n77803 100000\n62318 93501\n4649 6991\n89744 100000\n5718 8567\n60326 90494\n76793 100000\n44422 66478\n75194 100000\n49845 74676\n20391 30496\n40239 60217\n31170 46604\n76556 100000\n51608 77332\n7147 10691\n92407 100000\n81906 100000\n49622 74346\n39766 59517\n53274 79833\n28593 42711\n56457 84638\n46816 70098\n91961 100000\n25237 37703\n6273 9388\n50342 75426\n22130 33076\n18300 27382\n64517 96761\n14421 21601\n5054 7589\n33973 50772\n33659 50304\n43187 64618\n96561 100000\n74387 100000\n32448 48517\n41481 62076\n94811 100000\n34560 51671\n92967 100000\n67950 100000\n44927 67233\n81064 100000\n31931 47747\n69326 100000\n8365 12520\n66033 99056\n50489 75647\n61610 92419\n52945 79350\n6793 10160\n53491 80176\n57719 86565\n36380 54400\n67688 100000\n64591 96877\n12804 19194\n48063 71976\n35556 53151\n85598 100000\n81633 100000\n61606 92414\n33093 49481\n42934 64239\n14989 22437\n78660 100000\n87882 100000\n93034 100000\n79886 100000\n18489 27663\n30662 45831\n43362 64875\n40653 60842\n81919 100000\n17042 25494\n65049 97562\n86097 100000\n49779 74581\n95119 100000\n60530 90801\n39167 58612\n82082 100000\n32248 48225\n30581 45706\n87765 100000\n34602 51733\n6640 9934\n30424 45477\n84674 100000\n70233 100000\n96072 100000\n70909 100000\n3001 4522\n96481 100000\n92231 100000\n46909 70236\n98583 100000\n83875 100000\n25633 38289\n44053 65928\n78548 100000\n74451 100000\n88473 100000\n80635 100000\n8423 12605\n26962 40293\n57789 86680\n68695 100000\n30697 45888\n71199 100000\n68008 100000\n55011 82483\n90353 100000\n53944 80858\n83455 100000\n77918 100000\n45901 68710\n65655 98485\n5690 8525\n2416 3647\n40709 60923\n504 764\n27890 41673\n1326 2012\n47172 70632\n11344 17007\n27150 40570\n34366 51365\n74240 100000\n59351 89008\n60629 90946\n59765 89640\n2917 4394\n71034 100000\n98396 100000\n39558 59207\n15497 23203\n8231 12320\n74566 100000\n21282 31813\n83160 100000\n56169 84206\n301 452\n90618 100000\n40729 60954\n32167 48102\n39117 58535\n3357 5050\n46317 69334\n91287 100000\n58564 87843\n77828 100000\n43730 65438\n47836 71638\n28372 42394\n61195 91802\n10780 16171\n49287 73832\n7467 11181\n75969 100000\n31518 47130\n90673 100000\n5752 8616\n56053 84030\n69227 100000\n31623 47290\n52692 78981\n93160 100000\n78795 100000\n63521 95272\n81045 100000\n66885 100000\n97550 100000\n9057 13588\n45699 68402\n8846 13259\n10380 15575\n87573 100000\n38621 57790\n76906 100000\n41670 62356\n52430 78581\n35096 52463\n99212 100000\n88782 100000\n73976 100000\n13404 20086\n20274 30321\n27375 40900\n52448 78608\n99541 100000\n2415 3646\n99791 100000\n55170 82717\n28765 42975\n16175 24220\n58305 87450\n17055 25511\n30491 45578\n62174 93286\n68791 100000\n49585 74292\n79461 100000\n26348 39386\n16256 24341\n59274 88886\n50569 75768\n36317 54296\n77644 100000\n81640 100000\n31455 47031\n23808 35603\n63151 94725\n39411 58983\n36339 54334\n47112 70537\n5880 8798\n80653 100000\n78646 100000\n29833 44582\n31657 47347\n69186 100000\n41627 62292\n11179 16755\n26745 39967\n83306 100000\n73887 100000\n72441 100000\n97195 100000\n89802 100000\n4233 6370\n79781 100000\n51534 77218\n43245 64706\n85185 100000\n18699 27973\n28319 42321\n54686 81982\n9451 14179\n46025 68900\n3356 5049\n50482 75636\n8089 12111\n25730 38439\n12909 19353\n69839 100000\n7118 10646\n81713 100000\n54509 81709\n53234 79778\n44330 66345\n56347 84471\n62306 93481\n44972 67295\n71907 100000\n62308 93483\n74823 100000\n6811 10187\n13518 20257\n91140 100000\n21113 31566\n49770 74568\n10878 16311\n89694 100000\n50688 75935\n62974 94462\n26246 39229\n70310 100000\n42381 63420\n6474 9678\n88168 100000\n7360 11018\n76434 100000\n73698 100000\n94204 100000\n41377 61933\n11267 16892\n28587 42701\n94148 100000\n79196 100000\n51825 77669\n66251 99388\n75347 100000\n9790 14687\n30991 46334\n4200 6323\n77659 100000\n86473 100000\n3685 5540\n7883 11802\n37416 55946\n40069 59966\n72585 100000\n44254 66226\n36590 54707\n84692 100000\n55641 83413\n70477 100000\n4055 6110\n9968 14948\n78302 100000\n71004 100000\n31968 47801\n12265 18394\n89139 100000\n45344 67865\n22873 34198\n97492 100000\n41960 62775\n90841 100000\n22072 32992\n12841 19251\n80051 100000\n28364 42385\n69838 100000\n74524 100000\n73932 100000\n56971 85405\n80393 100000\n7235 10830\n35501 53073\n10314 15476\n21028 31439\n94591 100000\n35938 53726\n2654 3999\n77280 100000\n90601 100000\n26116 39030\n22100 33032\n85119 100000\n57752 86620\n40665 60861\n81342 100000\n28833 43083\n29071 43435\n69308 100000\n32320 48333\n11688 17527\n11546 17312\n77032 100000\n87214 100000\n18179 27201\n11330 16987\n73189 100000\n49744 74528\n46004 68867\n56289 84380\n67792 100000\n3886 5852\n40622 60798\n43574 65200\n76030 100000\n93818 100000\n52712 79010\n9381 14070\n78339 100000\n89650 100000\n63237 94853\n16109 24124\n79412 100000\n47674 71390\n31994 47839\n13481 20200\n30139 45041\n80498 100000\n57304 85930\n71364 100000\n95973 100000\n67876 100000\n61752 92637\n42808 64050\n33531 50118\n36007 53824\n37213 55649\n19152 28639\n47403 70990\n5571 8355\n95739 100000\n34405 51425\n17672 26440\n34930 52222\n97998 100000\n33223 49670\n46 65\n91330 100000\n92783 100000\n45199 67643\n28936 43236\n26858 40131\n85197 100000\n35800 53520\n95597 100000\n96454 100000\n17382 26006\n72781 100000\n76790 100000\n80418 100000\n53105 79589\n7232 10826\n13993 20959\n58168 87236\n49719 74490\n74682 100000\n45434 68000\n67071 100000\n15469 23158\n9788 14684\n32866 49136\n52081 78055\n51636 77373\n20222 30241\n30383 45416\n31955 47781\n42625 63777\n78791 100000\n1864 2804\n65552 98327\n82204 100000\n73806 100000\n78070 100000\n85504 100000\n30397 45438\n63631 95442\n55478 83164\n60204 90307\n59175 88740\n77128 100000\n25772 38501\n83621 100000\n80319 100000\n31666 47363\n98483 100000\n91489 100000\n2179 3284\n10776 16167\n47843 71649\n33090 49478\n82061 100000\n16255 24340\n78750 100000\n43325 64823\n95778 100000\n25250 37720\n75568 100000\n54437 81604\n95029 100000\n31065 46449\n5426 8137\n53097 79577\n80367 100000\n47378 70948\n32766 48989\n27663 41331\n71814 100000\n56825 85180\n18861 28212\n23880 35711\n75687 100000\n71803 100000\n10119 15178\n63213 94818\n21886 32714\n99308 100000\n31837 47602\n15748 23584\n41072 61475\n46035 68914\n72483 100000\n83109 100000\n24300 36334\n65595 98391\n50359 75451\n67344 100000\n92491 100000\n18475 27644\n39502 59119\n57694 86524\n32552 48673\n70719 100000\n39676 59385\n35272 52727\n30937 46250\n52011 77947\n92608 100000\n23391 34975\n66894 100000\n20519 30695\n51947 77852\n11999 17997\n13056 19569\n75623 100000\n45402 67955\n54348 81467\n41103 61521\n33935 50708\n79300 100000\n76291 100000\n35944 53732\n97208 100000\n92361 100000\n84075 100000\n38524 57639\n43456 65020\n10290 15445\n34682 51854\n45541 68161\n37594 56210\n67776 100000\n18270 27337\n87925 100000\n88611 100000\n86158 100000\n18444 27600\n96556 100000\n15666 23464\n42910 64205\n88237 100000\n38868 58156\n60799 91200\n86056 100000\n52724 79028\n26500 39616\n59095 88616\n75910 100000\n45290 67784\n77999 100000\n69271 100000\n13722 20549\n35022 52355\n81242 100000\n8005 11983\n35111 52489\n94558 100000\n4829 7265\n72064 100000\n20135 30112\n94486 100000\n76175 100000\n21971 32840\n78496 100000\n38411 57464\n23710 35452\n80442 100000\n28315 42314\n64758 97129\n11342 17004\n16217 24283\n31527 47144\n82577 100000\n39491 59103\n49088 73521\n39399 58963\n90783 100000\n92296 100000\n54752 82086\n82775 100000\n83451 100000\n41624 62287\n98041 100000\n1331 2019\n70400 100000\n61291 91955\n21019 31426\n78010 100000\n45851 68633\n93826 100000\n12875 19303\n81411 100000\n21650 32369\n7639 11433\n62379 93591\n74200 100000\n58208 87300\n83849 100000\n1037 1585\n45715 68427\n69111 100000\n25771 38500\n50469 75617\n84402 100000\n78349 100000\n6466 9666\n78143 100000\n39781 59542\n75054 100000\n87118 100000\n9242 13871\n25001 37350\n36198 54118\n41872 62644\n929 1418\n96329 100000\n50129 75100\n97482 100000\n2500 3770\n41711 62410\n81134 100000\n90854 100000\n18309 27394\n12862 19283\n8801 13190\n83488 100000\n65421 98129\n33882 50632\n97055 100000\n20237 30265\n62165 93272\n30 44\n36102 53978\n79257 100000\n73016 100000\n91327 100000\n30932 46243\n68798 100000\n80459 100000\n82850 100000\n25864 38646\n52416 78559\n59506 89248\n92865 100000\n8566 12819\n74335 100000\n51528 77209\n65061 97581\n22084 33011\n32782 49013\n77650 100000\n26981 40320\n14113 21138\n74152 100000\n32121 48033\n82326 100000\n2377 3590\n40279 60271\n49223 73736\n14683 21979\n7810 11691\n61792 92694\n26620 39787\n78809 100000\n83242 100000\n51081 76531\n26124 39041\n9218 13836\n91575 100000\n15062 22549\n93996 100000\n33794 50502\n21657 32380\n69961 100000\n35898 53661\n41052 61444\n3701 5564\n72318 100000\n70951 100000\n50127 75097\n82974 100000\n643 980\n38279 57263\n48681 72905\n71965 100000\n92809 100000\n56731 85043\n49967 74853\n26212 39178\n87841 100000\n64350 96515\n31492 47087\n10296 15453\n18844 28184\n40121 60043\n93788 100000\n31877 47664\n8661 12971\n11049 16566\n39971 59821\n75629 100000\n3282 4945\n57843 86756\n8139 12186\n41658 62338\n3687 5544\n60160 90242\n2029 3056\n20415 30534\n74942 100000\n21366 31938\n48023 71918\n49826 74650\n73668 100000\n60328 90496\n44449 66519\n48496 72619\n44078 65965\n24630 36815\n82377 100000\n44429 66489\n2746 4141\n98140 100000\n13599 20373\n58835 88236\n40852 61141\n85969 100000\n20225 30246\n73262 100000\n82066 100000\n85700 100000\n2404 3628\n91924 100000\n80329 100000\n26639 39814\n31177 46613\n45268 67752\n15211 22768\n91999 100000\n8860 13279\n41212 61685\n82903 100000\n87352 100000\n93833 100000\n47664 71375\n36592 54710\n93306 100000\n52911 79298\n56956 85384\n22393 33465\n89782 100000\n95927 100000\n25071 37456\n89238 100000\n34484 51550\n57642 86445\n63620 95424\n80350 100000\n45986 68840\n28842 43099\n3913 5898\n27125 40536\n8043 12042\n7051 10545\n19228 28750\n32709 48903\n38515 57624\n98437 100000\n36002 53817\n5607 8406\n31416 46973\n98434 100000\n50433 75557\n99232 100000\n68645 100000\n34032 50861\n47144 70588\n92991 100000\n57583 86355\n47438 71043\n86354 100000\n65762 98645\n14996 22447\n60246 90376\n7785 11653\n19519 29176\n98119 100000\n82456 100000\n49316 73876\n14661 21945\n49477 74124\n32402 48451\n1087 1660\n29442 43978\n12704 19043\n45993 68851\n21986 32861\n33696 50360\n85486 100000\n70266 100000\n84587 100000\n46104 69016\n42399 63447\n32245 48221\n14156 21204\n50697 75946\n76923 100000\n45174 67607\n45759 68493\n44980 67309\n94946 100000\n42597 63733\n35180 52586\n18880 28243\n20207 30213\n63436 95154\n89598 100000\n58282 87416\n53143 79647\n82541 100000\n88447 100000\n49833 74660\n49334 73907\n29729 44427\n62515 93778\n91235 100000\n97091 100000\n68246 100000\n3120 4705\n81426 100000\n55090 82602\n55202 82763\n19904 29757\n46221 69193\n48760 73021\n70367 100000\n70441 100000\n11922 17879\n99075 100000\n6407 9589\n22537 33691\n49674 74422\n49643 74375\n73879 100000\n85497 100000\n92221 100000\n21122 31580\n35522 53101\n35390 52904\n28585 42697\n54932 82359\n84917 100000\n30503 45597\n17840 26687\n76351 100000\n36275 54233\n38160 57080\n66824 100000\n82961 100000\n89120 100000\n24301 36335\n94438 100000\n49376 73971\n71424 100000\n53237 79781\n62223 93360\n82580 100000\n6061 9075\n10168 15254\n18169 27187\n43416 64960\n42199 63136\n19769 29553\n14240 21332\n68434 100000\n6275 9391\n67567 100000\n40007 59874\n28850 43111\n62030 93057\n21301 31842\n12113 18175\n3279 4942\n61873 92822\n93198 100000\n50913 76275\n69236 100000\n52654 78919\n34650 51805\n65043 97554\n98235 100000\n86198 100000\n48850 73153\n40388 60446\n85862 100000\n11223 16825\n44019 65877\n94689 100000\n85484 100000\n90646 100000\n86781 100000\n24176 36153\n74696 100000\n89737 100000\n54811 82175\n59847 89759\n23099 34542\n70154 100000\n19931 29794\n35064 52417\n48199 72180\n63654 95477\n60143 90217\n14784 22129\n37066 55426\n7615 11400\n67239 100000\n85790 100000\n25251 37722\n70532 100000\n51429 77062\n79292 100000\n88958 100000\n55579 83318\n50604 75819\n68226 100000\n31980 47819\n6104 9141\n71347 100000\n9417 14125\n92268 100000\n7808 11688\n11620 17421\n44187 66128\n76381 100000\n86877 100000\n27002 40350\n5817 8708\n80012 100000\n53286 79853\n52182 78202\n60847 91274\n51143 76620\n45586 68231\n4461 6703\n12957 19423\n8795 13182\n66217 99340\n83180 100000\n59017 88505\n34758 51969\n29089 43463\n21965 32831\n70175 100000\n73532 100000\n21652 32371\n62920 94387\n90023 100000\n56780 85114\n70550 100000\n69693 100000\n16204 24263\n42568 63690\n13143 19695\n90576 100000\n52981 79407\n59618 89422\n64832 97237\n69668 100000\n90021 100000\n90272 100000\n83542 100000\n65329 97988\n46956 70301\n28709 42896\n63643 95459\n68997 100000\n83549 100000\n44503 66604\n13311 19946\n9403 14103\n36918 55192\n20301 30361\n77820 100000\n28975 43296\n85936 100000\n55034 82518\n64326 96477\n3435 5170\n47206 70679\n33074 49450\n46022 68894\n3423 5155\n2376 3588\n76107 100000\n7432 11124\n76965 100000\n90931 100000\n77403 100000\n98533 100000\n97378 100000\n27974 41797\n9509 14261\n33255 49718\n21101 31552\n35990 53801\n81049 100000\n92488 100000\n47100 70519\n19204 28717\n46138 69064\n63685 95524\n70374 100000\n62659 93987\n54205 81255\n72259 100000\n93477 100000\n23957 35829\n88196 100000\n90750 100000\n85400 100000\n23983 35870\n11068 16593\n24977 37316\n18600 27823\n66478 99740\n45628 68293\n36873 55128\n57927 86883\n47540 71196\n20314 30378\n88902 100000\n97425 100000\n60916 91376\n85099 100000\n77773 100000\n70021 100000\n61985 92990\n69828 100000\n84318 100000\n92450 100000\n52686 78970\n45595 68243\n50340 75424\n41239 61725\n81839 100000\n26933 40248\n60725 91090\n58472 87705\n24404 36479\n80648 100000\n9911 14866\n84338 100000\n79594 100000\n22201 33181\n16846 25195\n59966 89947\n44806 67046\n6254 9358\n32327 48344\n5821 8715\n43083 64459\n38506 57608\n63232 94845\n30054 44918\n35578 53184\n88393 100000\n52563 78790\n35278 52737\n42913 64210\n87010 100000\n92312 100000\n24292 36321\n43424 64973\n30224 45171\n98692 100000\n4368 6566\n48633 72832\n44907 67198\n8092 12116\n2980 4490\n65679 98518\n51466 77115\n9295 13947\n31818 47578\n39404 58971\n15326 22945\n54120 81130\n3407 5130\n69887 100000\n79515 100000\n90041 100000\n44650 66822\n21188 31678\n85411 100000\n26300 39313\n43470 65041\n1798 2705\n56379 84519\n53895 80785\n71563 100000\n43823 65582\n26975 40311\n66248 99384\n82246 100000\n67277 100000\n63884 95815\n27850 41612\n76008 100000\n46290 69294\n2601 3922\n96032 100000\n33746 50433\n9150 13727\n88892 100000\n37452 56000\n23314 34863\n19071 28513\n25108 37513\n41836 62590\n30396 45437\n91445 100000\n1575 2387\n88563 100000\n12374 18558\n5670 8496\n84167 100000\n66539 99838\n93709 100000\n34977 52285\n82074 100000\n64804 97193\n47145 70590\n11080 16613\n54218 81275\n54345 81462\n61030 91542\n5065 7606\n48184 72159\n15030 22501\n15496 23201\n81572 100000\n66891 100000\n37229 55672\n93193 100000\n59879 89810\n13189 19763\n31636 47312\n77173 100000\n20701 30955\n65137 97695\n68431 100000\n96550 100000\n97098 100000\n97916 100000\n86998 100000\n24353 36413\n98612 100000\n37914 56708\n38549 57678\n20349 30431\n76146 100000\n61081 91620\n4681 7038\n88322 100000\n59970 89954\n16810 25141\n39016 58388\n19877 29717\n32884 49163\n33015 49358\n78635 100000\n15083 22578\n71575 100000\n56890 85284\n21512 32163\n24596 36762\n72515 100000\n48068 71982\n19017 28436\n46527 69663\n98329 100000\n41037 61422\n58050 87065\n32227 48195\n34828 52068\n86172 100000\n87805 100000\n60241 90368\n93192 100000\n87463 100000\n21790 32577\n96119 100000\n34495 51568\n53126 79623\n45704 68410\n46948 70290\n95928 100000\n3403 5124\n16470 24642\n70479 100000\n64049 96064\n71923 100000\n59623 89430\n94102 100000\n78691 100000\n91137 100000\n80394 100000\n77924 100000\n59363 89026\n76099 100000\n69658 100000\n37437 55980\n43091 64470\n79606 100000\n81909 100000\n46252 69241\n92397 100000\n98613 100000\n32756 48977\n78551 100000\n19277 28826\n19504 29157\n43722 65427\n54572 81804\n47572 71245\n2798 4220\n14207 21285\n39414 58988\n85899 100000\n34479 51542\n73912 100000\n61531 92310\n62736 94105\n54715 82027\n97174 100000\n37945 56748\n97807 100000\n62689 94034\n23185 34668\n78730 100000\n5421 8131\n98762 100000\n92470 100000\n28734 42930\n94233 100000\n12491 18727\n71627 100000\n81624 100000\n29194 43617\n75360 100000\n61275 91933\n48908 73242\n16785 25105\n94259 100000\n61111 91663\n1394 2113\n86319 100000\n7275 10890\n37418 55950\n65383 98071\n69293 100000\n35277 52736\n27454 41019\n25613 38262\n7058 10555\n37113 55496\n37680 56346\n41181 61639\n90016 100000\n21095 31542\n63601 95394\n14779 22122\n26133 39055\n75492 100000\n43302 64791\n69570 100000\n37071 55436\n38335 57344\n45701 68405\n90838 100000\n19627 29342\n92931 100000\n96409 100000\n80694 100000\n23197 34685\n16403 24550\n90926 100000\n933 1425\n20472 30623\n3755 5646\n74248 100000\n71169 100000\n90036 100000\n34408 51429\n81062 100000\n73531 100000\n66155 99245\n85289 100000\n12207 18313\n23480 35120\n61241 91877\n56123 84133\n99244 100000\n70828 100000\n77917 100000\n28275 42256\n26755 39982\n95983 100000\n90537 100000\n26956 40282\n96727 100000\n72906 100000\n97712 100000\n41583 62225\n75601 100000\n58844 88252\n9262 13899\n9054 13584\n33253 49715\n75946 100000\n95313 100000\n11440 17154\n12270 18403\n28997 43329\n93190 100000\n98673 100000\n25408 37969\n57230 85814\n29932 44737\n50566 75764\n15024 22491\n16055 24041\n60698 91049\n1507 2286\n34229 51163\n28475 42537\n65630 98448\n48894 73220\n5528 8286\n5109 7673\n16849 25201\n44809 67051\n34620 51761\n83435 100000\n44425 66482\n86498 100000\n48907 73241\n70063 100000\n4832 7270\n17430 26079\n81876 100000\n15677 23482\n50193 75196\n39851 59647\n72126 100000\n38241 57207\n50041 74967\n58281 87415\n96105 100000\n31144 46568\n87641 100000\n49578 74281\n30416 45465\n84067 100000\n7441 11138\n99963 100000\n4753 7148\n35204 52624\n51824 77668\n19427 29053\n43013 64354\n98064 100000\n14581 21834\n89946 100000\n4287 6445\n96007 100000\n59821 89725\n58874 88298\n92424 100000\n74396 100000\n59447 89160\n26105 39011\n23257 34779\n47037 70421\n95630 100000\n65534 98301\n82283 100000\n6552 9795\n20827 31137\n68292 100000\n7688 11509\n67686 100000\n1995 3001\n62541 93817\n75310 100000\n54436 81602\n43944 65771\n83177 100000\n51715 77493\n55027 82506\n46534 69673\n45384 67924\n83171 100000\n73537 100000\n8520 12751\n94407 100000\n97026 100000\n98061 100000\n66065 99108\n54126 81138\n65820 98731\n71312 100000\n91083 100000\n45220 67675\n62464 93704\n65371 98053\n56897 85293\n5047 7580\n66250 99387\n77892 100000\n53242 79788\n53572 80299\n15524 23244\n18149 27158\n91289 100000\n13306 19938\n9882 14821\n61199 91807\n83492 100000\n18006 26951\n14394 21558\n44472 66553\n47029 70409\n20120 30088\n97093 100000\n34544 51648\n42830 64082\n60378 90566\n25968 38802\n96109 100000\n84052 100000\n14999 22451\n60011 90017\n16080 24082\n87790 100000\n9564 14341\n17774 26589\n66809 100000\n7665 11475\n94741 100000\n71144 100000\n30516 45613\n20792 31086\n49237 73758\n46886 70201\n13224 19814\n24065 35996\n98898 100000\n37527 56112\n12596 18886\n12588 18874\n42875 64150\n34668 51832\n92776 100000\n99331 100000\n59353 89011\n32925 49225\n671 1025\n46005 68869\n80878 100000\n56696 84988\n43409 64949\n51969 77883\n27793 41527\n65587 98377\n6276 9392\n59652 89472\n31577 47216\n66402 99625\n28776 42994\n71935 100000\n87345 100000\n4918 7391\n70240 100000\n41799 62539\n12237 18357\n59270 88879\n54780 82126\n85476 100000\n93386 100000\n92410 100000\n26984 40324\n75712 100000\n36151 54048\n20705 30962\n83591 100000\n91138 100000\n61179 91777\n4197 6318\n99356 100000\n82441 100000\n93068 100000\n36103 53980\n67480 100000\n2466 3721\n76913 100000\n90441 100000\n92451 100000\n5865 8776\n20983 31367\n13118 19658\n64754 97124\n22077 33000\n87847 100000\n4503 6768\n55811 83667\n78716 100000\n85875 100000\n73430 100000\n36804 55018\n85219 100000\n64921 97369\n31946 47768\n21834 32646\n45898 68707\n58775 88153\n73633 100000\n63576 95357\n70770 100000\n10053 15082\n37382 55895\n58839 88243\n58125 87179\n13890 20801\n49918 74787\n18016 26968\n22928 34280\n51220 76736\n16619 24861\n44171 66104\n19291 28845\n38852 58133\n46424 69504\n27962 41780\n34563 51675\n33409 49938\n62632 93952\n81549 100000\n3760 5653\n68968 100000\n31176 46611\n29874 44647\n55860 83739\n64451 96651\n62496 93750\n89481 100000\n23226 34732\n40190 60148\n35136 52522\n94733 100000\n69447 100000\n78062 100000\n74268 100000\n79414 100000\n36596 54716\n39110 58524\n53290 79859\n4437 6667\n56643 84912\n10614 15924\n20367 30458\n21566 32243\n2159 3252\n12966 19436\n34618 51759\n35849 53587\n18875 28236\n40188 60145\n73244 100000\n46135 69060\n65957 98938\n8939 13405\n5925 8867\n87177 100000\n11143 16701\n88281 100000\n35365 52869\n40113 60031\n94907 100000\n43298 64786\n20776 31064\n269 406\n64341 96502\n80905 100000\n57280 85894\n42241 63198\n17339 25943\n47825 71620\n52245 78303\n46560 69712\n23712 35456\n39983 59838\n36535 54631\n4936 7419\n76746 100000\n59174 88739\n56725 85034\n21402 31991\n94364 100000\n56995 85442\n95747 100000\n39340 58887\n27903 41693\n6070 9089\n93179 100000\n98067 100000\n90995 100000\n74467 100000\n38543 57666\n10785 16179\n67658 100000\n31707 47422\n3379 5086\n65204 97800\n52410 78551\n9445 14170\n22357 33410\n15825 23691\n20921 31272\n96756 100000\n3166 4769\n48969 73338\n62076 93136\n18702 27978\n3131 4722\n95347 100000\n99651 100000\n27145 40564\n86065 100000\n35745 53437\n36343 54340\n60274 90414\n1921 2890\n82232 100000\n33231 49682\n7592 11367\n70128 100000\n6715 10046\n67860 100000\n86311 100000\n25086 37476\n79947 100000\n21290 31824\n33476 50042\n9151 13729\n41602 62257\n74996 100000\n18735 28027\n59563 89340\n58766 88141\n60439 90664\n50138 75112\n58966 88431\n38437 57505\n32853 49117\n55226 82798\n68687 100000\n75619 100000\n99697 100000\n74968 100000\n97259 100000\n26060 38943\n69837 100000\n18949 28343\n89757 100000\n1466 2220\n75922 100000\n91603 100000\n98962 100000\n54972 82419\n81808 100000\n36311 54289\n59496 89234\n94418 100000\n27619 41270\n656 1004\n92443 100000\n42362 63393\n35116 52496\n47861 71678\n49882 74734\n62935 94409\n1165 1781\n86613 100000\n63680 95516\n63940 95901\n83436 100000\n83830 100000\n19996 29894\n8324 12460\n6638 9931\n37436 55978\n53873 80750\n36887 55149\n80870 100000\n8835 13239\n28306 42299\n93628 100000\n73815 100000\n1604 2430\n37816 56555\n37149 55551\n4144 6240\n50251 75284\n3665 5506\n31377 46915\n66388 99600\n24185 36168\n85716 100000\n98644 100000\n90364 100000\n58867 88287\n91241 100000\n89116 100000\n31912 47719\n28370 42392\n98031 100000\n39886 59700\n18768 28076\n7697 11523\n26420 39492\n8515 12745\n7775 11639\n98502 100000\n85327 100000\n81477 100000\n41882 62660\n58573 87855\n51675 77431\n13203 19785\n37474 56032\n32819 49072\n95220 100000\n26570 39717\n32624 48780\n94960 100000\n75897 100000\n34336 51323\n43673 65354\n31789 47534\n51728 77513\n51562 77259\n82805 100000\n36439 54489\n63067 94600\n58527 87788\n37042 55387\n11831 17735\n53292 79862\n75958 100000\n63649 95470\n70588 100000\n78553 100000\n85885 100000\n11591 17377\n17031 25475\n40996 61359\n63363 95050\n23039 34449\n85741 100000\n12328 18491\n21662 32386\n64800 97187\n54255 81331\n62218 93354\n9082 13626\n74141 100000\n6572 9821\n70524 100000\n43919 65734\n49853 74690\n67787 100000\n73256 100000\n79436 100000\n86553 100000\n82861 100000\n63154 94729\n70296 100000\n65261 97889\n58172 87242\n69700 100000\n8624 12913\n49353 73936\n30939 46253\n27392 40926\n12105 18163\n53182 79702\n61515 92284\n85998 100000\n89960 100000\n17786 26605\n95672 100000\n31163 46595\n4000 6032\n4473 6724\n69757 100000\n77561 100000\n18064 27037\n87506 100000\n22478 33598\n90197 100000\n34435 51470\n42174 63102\n75371 100000\n90677 100000\n11499 17242\n5234 7861\n90822 100000\n22159 33119\n88955 100000\n65144 97706\n53847 80710\n36212 54139\n48200 72182\n88694 100000\n32781 49012\n23235 34743\n47445 71054\n93512 100000\n48077 71996\n93682 100000\n28652 42805\n47708 71444\n58293 87433\n3958 5965\n53023 79462\n92526 100000\n50676 75919\n53352 79957\n10069 15106\n93889 100000\n99122 100000\n71961 100000\n46237 69217\n71075 100000\n70227 100000\n40234 60210\n55164 82710\n65525 98285\n92000 100000\n57718 86564\n18250 27306\n60986 91474\n21425 32027\n4819 7248\n67011 100000\n84418 100000\n92527 100000\n89512 100000\n20805 31107\n13457 20166\n67947 100000\n79867 100000\n53450 80112\n41629 62295\n80489 100000\n93925 100000\n3395 5110\n87782 100000\n44139 66055\n45917 68736\n99199 100000\n64646 96960\n52730 79036\n49525 74199\n31812 47568\n72066 100000\n97277 100000\n12972 19446\n82108 100000\n57305 85932\n60537 90811\n50548 75735\n69622 100000\n87281 100000\n23028 34430\n52522 78722\n66643 99996\n95123 100000\n58911 88350\n69513 100000\n74786 100000\n18460 27622\n75246 100000\n54760 82098\n30194 45129\n8108 12140\n75168 100000\n78069 100000\n42743 63959\n58075 87105\n66401 99623\n54845 82223\n86867 100000\n85774 100000\n27367 40889\n73833 100000\n91420 100000\n75267 100000\n61104 91654\n45780 68524\n66356 99550\n89353 100000\n52475 78649\n66461 99715\n47097 70513\n61541 92322\n86602 100000\n42793 64027\n96767 100000\n27656 41323\n37546 56137\n32546 48664\n74527 100000\n53129 79628\n40763 61008\n1095 1674\n47662 71372\n12907 19349\n61522 92294\n90772 100000\n98419 100000\n79290 100000\n42675 63854\n83222 100000\n56357 84487\n36724 54899\n78106 100000\n448 676\n64559 96828\n40430 60509\n6002 8986\n80491 100000\n72771 100000\n6272 9387\n70651 100000\n19383 28980\n64488 96713\n14678 21971\n27316 40815\n4478 6731\n56031 83994\n75076 100000\n67066 100000\n40543 60678\n55627 83392\n72913 100000\n2495 3762\n32868 49138\n16259 24345\n60762 91147\n26081 38975\n42797 64033\n22231 33220\n12453 18674\n95057 100000\n52866 79233\n90515 100000\n5628 8434\n31359 46887\n86788 100000\n5471 8202\n63372 95062\n6146 9201\n4230 6365\n40143 60076\n55895 83789\n67276 100000\n40162 60107\n59601 89396\n12954 19417\n16469 24641\n79634 100000\n96905 100000\n430 650\n69995 100000\n15442 23121\n78326 100000\n20089 30039\n16133 24157\n6929 10362\n31284 46774\n39162 58604\n65815 98726\n33815 50532\n60809 91217\n25754 38472\n84948 100000\n52121 78118\n14780 22123\n85907 100000\n5103 7663\n58903 88340\n25315 37821\n20767 31050\n67140 100000\n11511 17262\n81059 100000\n10411 15620\n55706 83512\n44191 66135\n26330 39362\n42092 62973\n64126 96181\n79902 100000\n27648 41313\n49440 74070\n8600 12872\n5589 8380\n42500 63589\n37732 56428\n4845 7287\n98726 100000\n53018 79457\n87181 100000\n33716 50390\n5926 8868\n49561 74255\n32162 48095\n38322 57325\n77171 100000\n62474 93718\n16660 24920\n64527 96777\n40497 60610\n79261 100000\n94537 100000\n2276 3432\n4570 6870\n19497 29148\n56035 84000\n8437 12628\n86883 100000\n9614 14413\n85332 100000\n83634 100000\n44715 66914\n92837 100000\n77211 100000\n52744 79054\n75429 100000\n14702 22011\n29807 44544\n84087 100000\n958 1459\n73067 100000\n12281 18422\n42300 63296\n46320 69339\n90068 100000\n8361 12515\n73203 100000\n58367 87548\n83833 100000\n86882 100000\n99170 100000\n33833 50557\n73083 100000\n49930 74804\n38693 57900\n33017 49361\n11694 17535\n51131 76605\n34537 51636\n42870 64142\n92383 100000\n66183 99291\n44671 66852\n51202 76710\n4761 7160\n27198 40639\n78788 100000\n81135 100000\n9163 13748\n36191 54106\n73101 100000\n23564 35235\n28806 43040\n75632 100000\n85175 100000\n60153 90230\n6022 9019\n45375 67911\n91794 100000\n36748 54934\n8087 12107\n42810 64052\n70883 100000\n63114 94672\n55223 82792\n36947 55238\n62862 94297\n74981 100000\n50809 76112\n33988 50795\n93241 100000\n72024 100000\n94266 100000\n67363 100000\n13052 19565\n74798 100000\n10365 15550\n72947 100000\n71841 100000\n55459 83140\n77047 100000\n12611 18908\n71587 100000\n28761 42969\n6373 9540\n33509 50085\n30638 45796\n57929 86887\n25597 38238\n35427 52963\n93579 100000\n95759 100000\n10000 14997\n58061 87084\n54421 81578\n32650 48816\n64596 96887\n49808 74622\n39049 58434\n2132 3214\n97069 100000\n18812 28141\n7172 10731\n48962 73326\n36224 54156\n61596 92400\n34056 50901\n15079 22573\n45404 67957\n40576 60728\n43311 64804\n89206 100000\n13723 20550\n57772 86651\n86818 100000\n9732 14599\n52601 78843\n60950 91422\n30228 45178\n13623 20410\n88809 100000\n93531 100000\n53506 80199\n99880 100000\n10863 16288\n39193 58654\n24142 36107\n30320 45321\n85319 100000\n49928 74802\n60499 90754\n13343 19996\n18140 27145\n46186 69138\n18397 27527\n22012 32902\n82072 100000\n43905 65711\n79676 100000\n89221 100000\n10251 15383\n5850 8756\n39985 59842\n14782 22125\n21761 32536\n89092 100000\n54423 81581\n46533 69672\n35292 52757\n6116 9160\n38158 57077\n14905 22319\n83674 100000\n26994 40339\n33683 50343\n6858 10259\n85127 100000\n7557 11317\n64223 96326\n25270 37757\n58259 87376\n86945 100000\n18501 27682\n35101 52470\n92335 100000\n54892 82296\n70922 100000\n48834 73130\n67659 100000\n28873 43145\n53575 80303\n9014 13522\n24509 36631\n27902 41692\n24721 36947\n93408 100000\n93916 100000\n2523 3805\n97817 100000\n77841 100000\n72544 100000\n4068 6126\n80806 100000\n2889 4355\n90939 100000\n12689 19022\n52564 78792\n32043 47916\n90239 100000\n93414 100000\n56149 84173\n48954 73315\n96842 100000\n40462 60556\n40335 60361\n36001 53816\n50159 75146\n46051 68939\n22450 33558\n55622 83386\n40745 60976\n65482 98223\n14539 21778\n68452 100000\n69127 100000\n21108 31561\n25014 37368\n46364 69410\n37230 55673\n50856 76187\n40371 60419\n20501 30668\n19075 28519\n65358 98031\n63096 94644\n52075 78045\n4431 6656\n35083 52445\n68155 100000\n7780 11646\n81868 100000\n11415 17115\n59172 88736\n80830 100000\n74990 100000\n10472 15707\n6193 9268\n52538 78747\n49724 74498\n5030 7558\n189 287\n26788 40026\n29290 43759\n28786 43011\n71852 100000\n85081 100000\n17640 26391\n34546 51652\n50575 75777\n89623 100000\n30363 45385\n28183 42117\n55635 83403\n51343 76928\n63140 94708\n57451 86154\n60462 90701\n37651 56300\n59166 88726\n36453 54507\n67927 100000\n72495 100000\n40277 60269\n41286 61797\n71488 100000\n52330 78433\n22408 33490\n76588 100000\n67909 100000\n47875 71697\n93239 100000\n75679 100000\n90332 100000\n81562 100000\n9437 14159\n73335 100000\n38073 56947\n1951 2936\n42893 64181\n93182 100000\n48347 72402\n43863 65642\n31450 47024\n65663 98496\n30843 46110\n20275 30323\n78087 100000\n27050 40421\n27461 41029\n15515 23232\n65018 97514\n30230 45181\n85698 100000\n86583 100000\n89612 100000\n23273 34802\n3881 5845\n51802 77636\n96036 100000\n56665 84945\n38808 58070\n27481 41055\n2271 3425\n24549 36691\n39294 58813\n93532 100000\n75482 100000\n36291 54257\n33109 49504\n22133 33080\n9739 14611\n43035 64384\n17938 26848\n4220 6353\n91743 100000\n58943 88398\n61364 92064\n19458 29097\n36240 54178\n16139 24168\n68587 100000\n44846 67106\n21992 32870\n67530 100000\n79070 100000\n71336 100000\n60140 90212\n25428 37996\n68574 100000\n37735 56432\n87322 100000\n93492 100000\n22632 33836\n78399 100000\n37002 55323\n67673 100000\n58502 87748\n59553 89326\n49792 74601\n56402 84556\n22483 33606\n19830 29643\n12682 19013\n18787 28104\n79301 100000\n78365 100000\n18567 27776\n18120 27117\n37885 56659\n52490 78673\n86036 100000\n20627 30849\n81663 100000\n82067 100000\n28672 42838\n13832 20717\n39634 59319\n93821 100000\n40360 60401\n75006 100000\n87496 100000\n30892 46182\n62072 93130\n36714 54880\n53048 79504\n52810 79154\n22949 34312\n78265 100000\n80904 100000\n66921 100000\n72686 100000\n3446 5189\n14954 22390\n28088 41970\n72573 100000\n49268 73811\n16864 25225\n30126 45021\n3935 5935\n91214 100000\n95026 100000\n73868 100000\n74357 100000\n72343 100000\n53070 79536\n93158 100000\n5936 8884\n38613 57777\n66423 99659\n48953 73313\n25442 38014\n14786 22132\n95516 100000\n63546 95312\n96710 100000\n52816 79162\n31132 46548\n64287 96417\n76992 100000\n48824 73117\n36930 55211\n83209 100000\n719 1091\n25750 38467\n39607 59277\n79912 100000\n58309 87456\n19505 29159\n46246 69232\n56314 84419\n84441 100000\n34221 51151\n37484 56048\n48262 72276\n6361 9523\n43018 64361\n84833 100000\n17156 25664\n57237 85825\n17372 25993\n52832 79185\n870 1328\n752 1147\n35939 53727\n15558 23297\n63444 95166\n27559 41174\n88081 100000\n34883 52148\n52135 78140\n29001 43336\n32859 49126\n68941 100000\n62820 94232\n16357 24483\n33917 50682\n50662 75899\n49066 73486\n14300 21426\n82937 100000\n78158 100000\n62762 94143\n5484 8221\n58329 87490\n96318 100000\n44299 66295\n36813 55032\n5937 8886\n88183 100000\n69784 100000\n59077 88590\n96985 100000\n16939 25336\n34612 51750\n75135 100000\n5605 8403\n91964 100000\n14059 21054\n64111 96160\n52146 78155\n76608 100000\n57047 85524\n9470 14209\n94081 100000\n1369 2078\n97665 100000\n28083 41963\n88731 100000\n22076 32999\n4885 7343\n4167 6274\n17711 26492\n73878 100000\n14228 21314\n41755 62475\n14704 22013\n59391 89071\n88103 100000\n29140 43534\n72269 100000\n86232 100000\n47584 71263\n24006 35907\n51782 77601\n89050 100000\n63619 95423\n13576 20343\n61883 92837\n17854 26712\n620 943\n22184 33154\n2267 3419\n29644 44293\n59445 89157\n654 1001\n18398 27529\n65984 98980\n33685 50346\n90223 100000\n61464 92202\n28122 42019\n38957 58297\n73476 100000\n53807 80651\n14429 21614\n79702 100000\n8052 12056\n82856 100000\n7560 11322\n31369 46902\n9411 14116\n99344 100000\n43195 64629\n3229 4868\n67747 100000\n97747 100000\n20173 30167\n91637 100000\n98415 100000\n42205 63144\n28970 43290\n51501 77166\n45391 67937\n85838 100000\n12810 19202\n20977 31357\n23175 34650\n91093 100000\n12008 18010\n49412 74028\n59530 89286\n67258 100000\n6113 9154\n2098 3164\n97143 100000\n33529 50114\n19784 29573\n50511 75681\n87155 100000\n7773 11636\n22135 33083\n18723 28008\n11861 17780\n29821 44565\n54527 81735\n79483 100000\n15094 22595\n87561 100000\n44393 66439\n54367 81500\n80124 100000\n78883 100000\n55350 82979\n16965 25375\n50492 75652\n28596 42716\n16126 24150\n61827 92750\n46490 69609\n75357 100000\n89286 100000\n61047 91568\n66682 100000\n51811 77651\n76809 100000\n82157 100000\n30247 45207\n77379 100000\n9033 13550\n21538 32203\n13670 20475\n23531 35190\n46243 69226\n35640 53280\n80663 100000\n28173 42102\n1701 2569\n48428 72516\n34167 51068\n91388 100000\n10658 15990\n61700 92557\n24262 36282\n72396 100000\n93623 100000\n30419 45470\n894 1364\n30103 44991\n87517 100000\n13049 19560\n79151 100000\n61961 92955\n54734 82057\n39001 58363\n55041 82528\n43166 64584\n96141 100000\n24435 36526\n2703 4075\n54154 81182\n11685 17522\n66560 99869\n23307 34852\n72388 100000\n80227 100000\n32689 48873\n61923 92898\n32071 47959\n30774 46010\n56 82\n64736 97095\n37334 55824\n33277 49747\n18520 27711\n59733 89590\n74466 100000\n70591 100000\n65512 98268\n30760 45989\n14943 22373\n12836 19242\n37964 56775\n12299 18448\n13076 19596\n18997 28412\n75624 100000\n62805 94210\n22296 33318\n95633 100000\n47000 70369\n87555 100000\n86869 100000\n55542 83259\n91946 100000\n62145 93242\n20692 30941\n71489 100000\n7461 11170\n93186 100000\n55048 82539\n41835 62589\n81622 100000\n51762 77566\n18932 28319\n69313 100000\n47373 70940\n20603 30809\n52830 79182\n23367 34942\n50158 75144\n75506 100000\n99031 100000\n35893 53653\n54281 81367\n13282 19900\n91310 100000\n35610 53232\n89246 100000\n20474 30626\n94813 100000\n12136 18207\n18231 27279\n19479 29123\n70220 100000\n62310 93487\n88158 100000\n22816 34114\n62595 93900\n28469 42530\n40182 60134\n97831 100000\n1783 2682\n71892 100000\n51207 76717\n29577 44181\n46068 68961\n31700 47414\n87163 100000\n21263 31786\n78794 100000\n18829 28164\n66017 99031\n73545 100000\n91969 100000\n72640 100000\n16113 24130\n18400 27533\n61774 92666\n88852 100000\n1129 1726\n32815 49067\n18730 28019\n84138 100000\n94327 100000\n29318 43797\n75309 100000\n11869 17794\n58800 88187\n93098 100000\n18618 27849\n93518 100000\n85043 100000\n54297 81388\n90563 100000\n76736 100000\n34041 50876\n66745 100000\n59336 88981\n60052 90079\n84104 100000\n42134 63039\n57637 86438\n11369 17047\n52324 78426\n80177 100000\n57621 86415\n5971 8937\n42179 63109\n76627 100000\n93233 100000\n56342 84464\n5111 7675\n71189 100000\n20740 31010\n31643 47326\n51658 77404\n27233 40688\n59651 89471\n72273 100000\n51498 77163\n98978 100000\n61710 92575\n7321 10959\n38103 56992\n73216 100000\n72386 100000\n87074 100000\n32777 49005\n24307 36345\n39380 58939\n98454 100000\n78529 100000\n995 1521\n50739 76009\n36984 55292\n56360 84492\n27082 40474\n25022 37377\n35532 53116\n58661 87984\n65474 98212\n94620 100000\n48361 72421\n22413 33497\n71186 100000\n90003 100000\n23406 34997\n79931 100000\n91157 100000\n19444 29077\n59342 88992\n75095 100000\n26796 40039\n1902 2864\n17193 25726\n10302 15462\n34833 52076\n64095 96133\n88580 100000\n93449 100000\n8276 12388\n40110 60027\n3314 4990\n37378 55889\n19142 28626\n11371 17050\n44640 66810\n47003 70374\n88828 100000\n71315 100000\n87425 100000\n60124 90189\n3785 5691\n43184 64613\n16176 24221\n15573 23320\n71361 100000\n58376 87563\n30522 45623\n13714 20538\n55882 83770\n61824 92744\n93888 100000\n50476 75627\n81042 100000\n86653 100000\n99016 100000\n5303 7957\n79786 100000\n43336 64836\n12631 18936\n59735 89592\n74934 100000\n71445 100000\n39137 58563\n12227 18341\n98525 100000\n51073 76519\n51225 76745\n40822 61095\n82918 100000\n60786 91181\n652 997\n64713 97061\n23237 34746\n48004 71894\n8550 12799\n46245 69230\n41049 61438\n18623 27858\n45144 67559\n71807 100000\n2144 3232\n43174 64596\n47186 70650\n86855 100000\n42216 63162\n96509 100000\n67402 100000\n25699 38391\n70011 100000\n40045 59931\n64170 96246\n93216 100000\n17693 26467\n15780 23631\n80097 100000\n97909 100000\n45080 67460\n78157 100000\n8623 12911\n58037 87044\n58231 87336\n23180 34659\n39551 59195\n12822 19221\n63890 95826\n74359 100000\n11472 17203\n84356 100000\n50925 76294\n34725 51920\n36875 55131\n91625 100000\n6160 9221\n56813 85165\n97930 100000\n65330 97990\n46358 69399\n99176 100000\n53177 79695\n46880 70191\n61492 92249\n27948 41760\n72988 100000\n58023 87027\n20958 31329\n53556 80274\n45267 67750\n62543 93819\n32780 49010\n58767 88142\n87279 100000\n83191 100000\n8884 13315\n53825 80677\n46031 68909\n340 510\n31974 47808\n29515 44088\n95487 100000\n36434 54482\n48060 71971\n50952 76337\n67723 100000\n60443 90671\n67278 100000\n77082 100000\n28111 42003\n55866 83746\n65446 98166\n10706 16063\n33437 49978\n50837 76156\n71493 100000\n26108 39016\n30067 44938\n58128 87183\n76469 100000\n13925 20855\n92191 100000\n10243 15370\n68792 100000\n58600 87893\n82013 100000\n13459 20169\n37432 55972\n4324 6498\n15392 23043\n78121 100000\n40330 60354\n84718 100000\n91126 100000\n18177 27199\n53975 80905\n96237 100000\n12076 18117\n5783 8659\n8435 12625\n8357 12510\n31238 46705\n1315 1994\n7916 11853\n9741 14614\n120 183\n93341 100000\n98867 100000\n74005 100000\n83848 100000\n66757 100000\n54928 82352\n99757 100000\n52038 77987\n64712 97059\n89008 100000\n25689 38376\n41110 61530\n31685 47394\n12002 18000\n98579 100000\n5051 7585\n27114 40520\n76239 100000\n15731 23560\n74550 100000\n87947 100000\n46009 68875\n68896 100000\n91500 100000\n16454 24619\n92790 100000\n60494 90747\n32054 47933\n75495 100000\n68699 100000\n34885 52152\n93054 100000\n6691 10010\n77592 100000\n9837 14759\n34039 50872\n49254 73787\n40451 60538\n85922 100000\n50090 75039\n75683 100000\n5722 8573\n51972 77887\n91568 100000\n26847 40115\n30962 46288\n65350 98021\n88693 100000\n16429 24587\n97612 100000\n1586 2404\n38306 57305\n65799 98701\n47240 70729\n13911 20831\n73911 100000\n81952 100000\n93970 100000\n18125 27124\n19543 29214\n12169 18248\n48191 72168\n93560 100000\n90831 100000\n94059 100000\n61861 92802\n73321 100000\n94889 100000\n12451 18672\n96430 100000\n66433 99672\n70000 100000\n72295 100000\n42611 63752\n85594 100000\n10124 15184\n53542 80252\n13645 20443\n15940 23866\n80575 100000\n12010 18013\n76800 100000\n14423 21604\n85772 100000\n49183 73670\n34157 51053\n51233 76758\n61346 92040\n99143 100000\n74216 100000\n73708 100000\n12577 18857\n24618 36799\n7646 11443\n72289 100000\n55059 82554\n59667 89494\n98369 100000\n93105 100000\n38883 58179\n5689 8524\n14708 22019\n89593 100000\n80711 100000\n3994 6022\n90929 100000\n5923 8865\n87231 100000\n57868 86794\n50510 75680\n5162 7752\n23395 34981\n32547 48666\n54807 82169\n83316 100000\n64211 96306\n21217 31721\n38546 57672\n98614 100000\n21956 32818\n92184 100000\n41368 61920\n84795 100000\n96112 100000\n45271 67756\n95386 100000\n50004 74911\n94244 100000\n60783 91178\n26592 39746\n3058 4611\n53512 80209\n12623 18924\n5237 7866\n98109 100000\n57213 85786\n10738 16109\n10160 15240\n41257 61752\n90784 100000\n79248 100000\n33522 50104\n11248 16864\n51344 76930\n52488 78670\n89695 100000\n9823 14737\n30733 45947\n69986 100000\n99859 100000\n58963 88426\n34142 51029\n51496 77159\n59655 89476\n5416 8124\n550 834\n22132 33078\n72035 100000\n79065 100000\n12982 19462\n95709 100000\n23214 34710\n95982 100000\n9160 13743\n46650 69848\n48732 72981\n31429 46992\n56049 84023\n40717 60933\n90864 100000\n63606 95402\n70939 100000\n62919 94386\n69730 100000\n15295 22901\n26005 38857\n65662 98494\n1305 1982\n46731 69967\n71351 100000\n7424 11112\n55225 82796\n12788 19171\n20601 30807\n52350 78463\n55989 83932\n11050 16568\n29205 43632\n72444 100000\n62908 94370\n81409 100000\n31289 46782\n34265 51215\n82540 100000\n39914 59741\n86238 100000\n21815 32618\n11619 17420\n28603 42726\n82168 100000\n15160 22693\n71478 100000\n89274 100000\n42744 63960\n82575 100000\n86000 100000\n80999 100000\n69059 100000\n99201 100000\n15606 23373\n52879 79252\n94802 100000\n95176 100000\n98980 100000\n62963 94447\n41595 62244\n78072 100000\n3043 4585\n96499 100000\n46962 70310\n64037 96047\n31169 46602\n7726 11565\n30762 45993\n66406 99632\n90001 100000\n50643 75870\n21787 32573\n48686 72913\n88919 100000\n96069 100000\n2424 3658\n45627 68292\n13097 19628\n79548 100000\n97034 100000\n35631 53266\n96536 100000\n61731 92601\n15833 23702\n94728 100000\n6730 10068\n7539 11292\n87293 100000\n21241 31757\n71845 100000\n27819 41564\n17425 26071\n42318 63324\n24196 36185\n11087 16624\n92113 100000\n19395 29002\n79262 100000\n31748 47476\n9071 13611\n41828 62579\n20462 30605\n16435 24595\n29270 43731\n87830 100000\n83069 100000\n6520 9746\n13304 19935\n13065 19580\n83098 100000\n6266 9377\n5988 8962\n95772 100000\n26948 40268\n26698 39896\n41422 61993\n28785 43009\n48895 73222\n99448 100000\n10862 16286\n24296 36328\n24953 37282\n35254 52699\n36502 54578\n79 120\n14760 22093\n57523 86264\n33167 49589\n28494 42563\n96188 100000\n45814 68574\n85784 100000\n76997 100000\n56664 84944\n65419 98127\n73109 100000\n22188 33161\n1219 1856\n12393 18587\n33970 50767\n94599 100000\n86580 100000\n22652 33870\n36357 54363\n42725 63928\n60855 91284\n73022 100000\n78101 100000\n97933 100000\n66776 100000\n5431 8145\n70210 100000\n34562 51674\n2300 3468\n85946 100000\n92403 100000\n3749 5637\n82726 100000\n46677 69890\n15642 23425\n74653 100000\n79375 100000\n13664 20467\n66945 100000\n99836 100000\n8619 12904\n56771 85099\n27987 41817\n72610 100000\n51707 77480\n58520 87778\n76566 100000\n30884 46169\n38472 57559\n33117 49515\n41861 62629\n70877 100000\n25557 38180\n45183 67621\n13324 19965\n84905 100000\n65921 98884\n68927 100000\n86501 100000\n90268 100000\n41555 62184\n77069 100000\n79672 100000\n25116 37524\n32844 49105\n21796 32587\n85140 100000\n25303 37800\n59590 89378\n54392 81534\n10392 15593\n39489 59100\n54481 81668\n45225 67684\n12856 19271\n70373 100000\n52674 78951\n9784 14678\n37072 55437\n50870 76207\n12872 19298\n83481 100000\n76658 100000\n66097 99156\n83986 100000\n59524 89276\n58246 87359\n82930 100000\n56871 85253\n5252 7886\n46936 70273\n44906 67196\n96714 100000\n10490 15739\n59550 89320\n33834 50558\n58474 87707\n47566 71235\n59300 88929\n45848 68629\n68662 100000\n28014 41858\n6833 10223\n89667 100000\n44800 67038\n56724 85033\n5957 8917\n3173 4782\n37018 55347\n28727 42919\n84251 100000\n44691 66880\n53756 80581\n59227 88820\n17885 26762\n5975 8942\n33925 50694\n96830 100000\n74953 100000\n3456 5204\n2483 3747\n90660 100000\n6297 9423\n59084 88601\n12404 18600\n2644 3985\n27679 41352\n78717 100000\n6430 9619\n93081 100000\n20690 30938\n80544 100000\n36173 54080\n6884 10296\n39541 59177\n24113 36063\n93270 100000\n84782 100000\n60255 90388\n57083 85579\n68229 100000\n3862 5815\n91029 100000\n96538 100000\n90355 100000\n2164 3259\n10347 15524\n94417 100000\n76212 100000\n63497 95238\n65994 98997\n16884 25258\n17346 25953\n45238 67705\n53025 79465\n91811 100000\n70496 100000\n63368 95058\n72695 100000\n85419 100000\n56188 84233\n12197 18296\n95293 100000\n32462 48535\n77222 100000\n29584 44192\n91717 100000\n66026 99045\n42917 64216\n2671 4025\n21415 32009\n70979 100000\n93080 100000\n48794 73070\n3500 5271\n67160 100000\n5859 8768\n54026 80988\n14858 22248\n32556 48680\n90858 100000\n67125 100000\n22866 34188\n74557 100000\n36583 54696\n94539 100000\n17579 26296\n7588 11363\n27247 40711\n27348 40860\n37283 55750\n66922 100000\n33114 49510\n13595 20369\n27789 41519\n18264 27329\n1862 2801\n9605 14398\n26397 39459\n17821 26656\n74500 100000\n22890 34225\n42231 63183\n65607 98412\n86333 100000\n9019 13529\n7583 11355\n30609 45750\n53103 79586\n69864 100000\n87407 100000\n9579 14361\n20486 30643\n16196 24251\n44122 66033\n47195 70662\n30057 44922\n73719 100000\n85515 100000\n31247 46720\n42918 64218\n74711 100000\n51268 76812\n98710 100000\n79130 100000\n91979 100000\n36115 53998\n55283 82884\n24050 35971\n90350 100000\n92460 100000\n90122 100000\n69697 100000\n64105 96149\n35836 53572\n11825 17726\n98332 100000\n61858 92798\n14063 21059\n47770 71543\n65757 98637\n34755 51965\n44865 67133\n25779 38511\n69546 100000\n73095 100000\n43261 64727\n33899 50656\n81750 100000\n85536 100000\n84995 100000\n25429 37997\n38636 57816\n97786 100000\n90076 100000\n78060 100000\n87274 100000\n47318 70850\n7783 11650\n26807 40059\n23603 35293\n69949 100000\n21322 31872\n55543 83261\n99066 100000\n23112 34561\n7020 10499\n19061 28500\n49953 74835\n82033 100000\n56748 85068\n6551 9793\n43766 65495\n99113 100000\n42445 63510\n27949 41762\n52742 79051\n98381 100000\n32557 48682\n83548 100000\n63451 95176\n85322 100000\n62840 94264\n11870 17795\n63985 95971\n29986 44818\n11195 16785\n55203 82764\n2546 3838\n29687 44362\n63842 95749\n35434 52972\n24584 36743\n48117 72060\n55723 83538\n34411 51433\n67267 100000\n86901 100000\n78769 100000\n27814 41556\n38916 58231\n85800 100000\n88132 100000\n18131 27131\n80432 100000\n53793 80632\n88313 100000\n43983 65823\n65105 97644\n15518 23235\n9722 14583\n67859 100000\n83806 100000\n55399 83050\n13088 19616\n48220 72214\n14116 21143\n85083 100000\n10047 15073\n34150 51041\n27326 40830\n57779 86661\n61966 92965\n68165 100000\n36404 54439\n29301 43771\n46423 69503\n72266 100000\n88819 100000\n74038 100000\n10666 16001\n57420 86102\n82011 100000\n77857 100000\n68523 100000\n91020 100000\n2933 4418\n56844 85211\n6647 9943\n56518 84730\n67880 100000\n85467 100000\n70579 100000\n36772 54966\n30272 45248\n21115 31570\n22530 33679\n82587 100000\n1084 1657\n89699 100000\n96038 100000\n77364 100000\n86024 100000\n58416 87626\n73465 100000\n47844 71651\n94099 100000\n1387 2102\n31195 46637\n36802 55015\n55369 83007\n36619 54748\n74851 100000\n76896 100000\n52249 78310\n99438 100000\n53120 79614\n57143 85676\n16225 24293\n24388 36458\n26572 39720\n59648 89466\n76813 100000\n69918 100000\n87337 100000\n84850 100000\n18155 27166\n61684 92532\n74539 100000\n52751 79065\n78964 100000\n9374 14061\n69011 100000\n68374 100000\n44136 66051\n95746 100000\n28562 42662\n81596 100000\n17949 26865\n63567 95344\n3657 5492\n87844 100000\n28998 43330\n46064 68956\n69655 100000\n5399 8099\n93379 100000\n41081 61487\n76301 100000\n51282 76831\n6148 9205\n90662 100000\n63658 95484\n39031 58409\n71669 100000\n68383 100000\n74310 100000\n78305 100000\n57491 86211\n89375 100000\n73306 100000\n51826 77670\n17190 25720\n58219 87317\n47666 71378\n2979 4488\n1341 2033\n17079 25549\n55465 83148\n15841 23716\n63518 95267\n30906 46203\n97944 100000\n82002 100000\n61686 92536\n11671 17502\n32426 48483\n35418 52949\n51829 77675\n78949 100000\n32262 48244\n4450 6687\n74006 100000\n59772 89651\n3571 5371\n2852 4301\n15979 23925\n87733 100000\n33345 49847\n53345 79947\n32599 48743\n264 399\n23047 34460\n33638 50274\n87595 100000\n88732 100000\n41984 62808\n98683 100000\n747 1139\n52255 78319\n68130 100000\n98575 100000\n77973 100000\n36685 54838\n89172 100000\n48612 72803\n31298 46797\n89548 100000\n4931 7411\n63142 94711\n58124 87177\n36576 54688\n98795 100000\n84975 100000\n41693 62385\n70258 100000\n82138 100000\n47408 70997\n90451 100000\n83054 100000\n86896 100000\n38089 56972\n24269 36291\n38288 57276\n79491 100000\n2104 3173\n63468 95200\n88947 100000\n95993 100000\n77665 100000\n96978 100000\n72836 100000\n22375 33437\n28149 42062\n93572 100000\n33159 49575\n89545 100000\n50803 76102\n78593 100000\n99503 100000\n38972 58320\n8411 12590\n8159 12216\n89125 100000\n10615 15925\n23267 34793\n90721 100000\n72705 100000\n18847 28189\n63869 95794\n24918 37233\n11316 16966\n8788 13171\n96385 100000\n15343 22970\n54695 81996\n31341 46858\n85992 100000\n89993 100000\n84798 100000\n60333 90503\n84056 100000\n40812 61080\n10728 16097\n15183 22730\n40076 59978\n72475 100000\n90870 100000\n93351 100000\n78596 100000\n18356 27465\n28233 42197\n40055 59944\n60949 91421\n87892 100000\n85734 100000\n62482 93728\n34181 51089\n35549 53139\n71174 100000\n34992 52311\n25466 38048\n29733 44433\n94947 100000\n65262 97890\n91714 100000\n66507 99784\n13630 20420\n52222 78263\n10330 15501\n21606 32300\n47499 71129\n26915 40221\n6629 9919\n9654 14475\n44177 66114\n88687 100000\n25254 37728\n88321 100000\n58678 88010\n11745 17608\n72940 100000\n97866 100000\n19672 29412\n85699 100000\n10134 15197\n40273 60264\n37604 56225\n9795 14695\n18385 27511\n6247 9347\n85066 100000\n35571 53173\n39467 59066\n97382 100000\n92541 100000\n34925 52214\n1465 2218\n4066 6123\n83675 100000\n26370 39418\n8116 12152\n27614 41262\n78049 100000\n83494 100000\n9563 14339\n50398 75505\n71265 100000\n68872 100000\n36458 54514\n24193 36179\n71492 100000\n81948 100000\n41197 61664\n28702 42888\n46543 69686\n43699 65391\n94170 100000\n37459 56011\n78969 100000\n10528 15794\n93857 100000\n72948 100000\n35444 52986\n91283 100000\n92332 100000\n52087 78064\n72729 100000\n57403 86076\n16279 24372\n30040 44899\n79680 100000\n47711 71448\n46052 68940\n85634 100000\n72514 100000\n32711 48906\n25808 38558\n32802 49046\n80488 100000\n84893 100000\n82904 100000\n30473 45551\n34186 51096\n4105 6179\n47335 70877\n67020 100000\n85023 100000\n3759 5652\n94366 100000\n50271 75315\n1038 1586\n42940 64250\n32002 47854\n59408 89096\n42809 64051\n19453 29090\n70580 100000\n1031 1576\n94213 100000\n55454 83132\n35736 53424\n76031 100000\n88467 100000\n30904 46199\n91431 100000\n23557 35225\n37759 56465\n67039 100000\n8586 12850\n39894 59711\n35848 53586\n34222 51152\n83284 100000\n89099 100000\n80429 100000\n65227 97838\n38381 57417\n31660 47352\n77427 100000\n95827 100000\n71035 100000\n56075 84061\n8642 12940\n70410 100000\n85622 100000\n68112 100000\n81826 100000\n79750 100000\n80690 100000\n38832 58105\n94904 100000\n78706 100000\n67789 100000\n75188 100000\n79607 100000\n5188 7794\n27901 41690\n28161 42084\n88102 100000\n50315 75382\n54170 81207\n80183 100000\n24915 37230\n46427 69510\n53633 80395\n86401 100000\n68356 100000\n80493 100000\n49776 74576\n91789 100000\n82514 100000\n42869 64140\n19808 29608\n42342 63359\n32376 48414\n36468 54529\n61609 92418\n41642 62315\n7712 11544\n3857 5808\n30715 45918\n7044 10535\n30546 45658\n91772 100000\n17232 25783\n46139 69066\n3511 5286\n98300 100000\n13478 20194\n17093 25568\n9439 14162\n48080 72001\n2802 4227\n17588 26309\n82195 100000\n12388 18580\n69735 100000\n61996 93009\n40952 61291\n37201 55632\n20260 30303\n31311 46818\n52160 78171\n33661 50308\n82244 100000\n53096 79576\n90363 100000\n73417 100000\n88451 100000\n8969 13449\n37765 56472\n36561 54667\n15530 23254\n60442 90669\n59801 89694\n52332 78436\n78695 100000\n55837 83705\n53710 80515\n55747 83577\n87161 100000\n4257 6405\n64781 97157\n74713 100000\n61652 92483\n54621 81880\n55672 83457\n1652 2504\n95790 100000\n69117 100000\n34812 52045\n29789 44517\n83076 100000\n92627 100000\n65867 98800\n43469 65040\n50502 75666\n84573 100000\n71101 100000\n71382 100000\n83085 100000\n1011 1546\n35154 52550\n98342 100000\n99029 100000\n8544 12790\n55918 83827\n44698 66890\n79939 100000\n82347 100000\n31763 47497\n34632 51780\n84128 100000\n98887 100000\n27697 41377\n16649 24905\n39595 59259\n1676 2535\n14732 22057\n57185 85746\n19840 29659\n61208 91820\n11306 16951\n86190 100000\n99022 100000\n13430 20126\n55865 83744\n85576 100000\n40064 59958\n71909 100000\n7489 11218\n99174 100000\n10487 15734\n93730 100000\n59717 89569\n59712 89560\n61392 92102\n43373 64895\n72274 100000\n38398 57445\n91121 100000\n12365 18544\n18434 27584\n69298 100000\n62497 93752\n65075 97600\n86652 100000\n22208 33190\n32619 48772\n72100 100000\n3047 4591\n88896 100000\n96738 100000\n56678 84964\n95107 100000\n94132 100000\n82715 100000\n50180 75175\n90689 100000\n16778 25095\n57663 86475\n31081 46475\n6502 9717\n45858 68643\n17292 25875\n86357 100000\n39191 58650\n29965 44787\n93076 100000\n47302 70824\n69292 100000\n88133 100000\n99754 100000\n24540 36675\n53387 80013\n97357 100000\n76914 100000\n62200 93325\n50245 75275\n42034 62886\n72722 100000\n10550 15829\n41254 61748\n75459 100000\n53035 79482\n61796 92701\n20208 30215\n601 916\n8796 13184\n52590 78829\n64753 97122\n88572 100000\n13686 20496\n24001 35898\n400 602\n26694 39891\n85278 100000\n57675 86495\n41834 62587\n28451 42507\n49048 73458\n9904 14853\n88868 100000\n16263 24349\n18176 27198\n57640 86443\n27164 40593\n20488 30647\n55316 82927\n4977 7477\n53745 80566\n12656 18973\n68307 100000\n46803 70077\n59381 89053\n13427 20122\n91168 100000\n16413 24564\n67831 100000\n99915 100000\n50907 76265\n44875 67147\n52276 78354\n90156 100000\n21564 32240\n75077 100000\n73059 100000\n83246 100000\n47088 70499\n35654 53300\n76971 100000\n76604 100000\n86746 100000\n76066 100000\n76938 100000\n81492 100000\n63973 95955\n69253 100000\n96095 100000\n78741 100000\n97793 100000\n67604 100000\n76822 100000\n3479 5242\n90803 100000\n52414 78556\n47164 70620\n16192 24245\n40272 60262\n17856 26715\n56131 84145\n26079 38973\n73337 100000\n81636 100000\n64968 97435\n498 753\n96359 100000\n87287 100000\n47036 70420\n46554 69703\n36658 54805\n34187 51097\n33235 49687\n37628 56261\n3516 5295\n54894 82299\n90688 100000\n49630 74356\n74600 100000\n13130 19675\n3864 5818\n78113 100000\n98389 100000\n10011 15015\n85662 100000\n6481 9686\n43118 64514\n87235 100000\n97083 100000\n16264 24350\n38133 57037\n25883 38673\n55901 83799\n65514 98270\n7022 10501\n14277 21391\n52007 77942\n19786 29575\n12564 18835\n16194 24248\n26743 39965\n59485 89216\n95031 100000\n15543 23273\n77110 100000\n32046 47921\n46854 70157\n787 1196\n93711 100000\n31376 46913\n26235 39212\n85686 100000\n38028 56875\n42767 63994\n82506 100000\n42664 63839\n34996 52318\n89448 100000\n81274 100000\n29227 43665\n99811 100000\n34335 51321\n90682 100000\n24703 36919\n19308 28870\n2522 3804\n16145 24178\n98640 100000\n19882 29726\n84889 100000\n73484 100000\n59845 89756\n82908 100000\n2668 4021\n72438 100000\n63413 95121\n6853 10251\n13293 19918\n32874 49146\n68907 100000\n16323 24434\n42705 63898\n57269 85875\n69773 100000\n75005 100000\n26323 39351\n31118 46528\n94186 100000\n84952 100000\n2143 3231\n1222 1860\n30170 45089\n53236 79780\n82721 100000\n89019 100000\n72580 100000\n715 1084\n9839 14762\n76802 100000\n28031 41885\n48919 73260\n41406 61973\n75873 100000\n89536 100000\n28778 42997\n42223 63172\n18689 27958\n63656 95480\n19323 28891\n36911 55183\n45415 67975\n61741 92617\n34660 51819\n10080 15125\n29164 43573\n71510 100000\n85966 100000\n27907 41698\n21663 32387\n26571 39718\n91356 100000\n55022 82500\n31189 46630\n28982 43305\n11348 17011\n41385 61943\n50034 74954\n88094 100000\n25575 38205\n42881 64161\n90613 100000\n6395 9571\n30006 44851\n25419 37985\n41875 62648\n12833 19238\n41290 61803\n24571 36723\n99667 100000\n16698 24979\n85513 100000\n38954 58292\n73965 100000\n69593 100000\n30075 44949\n25212 37664\n2926 4406\n35950 53740\n45721 68436\n16329 24443\n89241 100000\n32724 48924\n78780 100000\n77751 100000\n62937 94412\n65731 98598\n89108 100000\n72869 100000\n3620 5439\n43819 65575\n84763 100000\n39778 59536\n51042 76471\n82238 100000\n83471 100000\n66095 99152\n27227 40679\n84776 100000\n94444 100000\n54474 81657\n51204 76713\n75515 100000\n20146 30126\n23597 35283\n86658 100000\n87957 100000\n87182 100000\n99967 100000\n68557 100000\n44407 66459\n76017 100000\n29492 44053\n62461 93700\n98650 100000\n5452 8174\n3603 5417\n67420 100000\n67105 100000\n44524 66636\n20870 31197\n78356 100000\n58869 88289\n90195 100000\n47766 71536\n72412 100000\n69460 100000\n24997 37345\n92227 100000\n88957 100000\n73894 100000\n959 1461\n92464 100000\n8303 12428\n59766 89641\n78135 100000\n2042 3075\n63162 94740\n42849 64109\n99564 100000\n2157 3249\n89887 100000\n38269 57249\n60135 90204\n58157 87222\n58993 88470\n82350 100000\n25100 37498\n55376 83016\n88881 100000\n50439 75567\n55766 83606\n8677 12996\n40204 60171\n89565 100000\n75542 100000\n99711 100000\n13871 20773\n31566 47199\n13638 20431\n27376 40901\n55033 82516\n55480 83168\n77033 100000\n71355 100000\n81311 100000\n88548 100000\n22380 33445\n72185 100000\n89992 100000\n36942 55230\n19796 29588\n53631 80391\n76216 100000\n37733 56430\n35478 53036\n3444 5185\n81728 100000\n5888 8811\n43490 65072\n75049 100000\n74382 100000\n61433 92161\n63949 95916\n55053 82546\n25533 38148\n41504 62109\n90089 100000\n56945 85368\n70121 100000\n45885 68686\n58013 87014\n63503 95246\n34072 50923\n77289 100000\n52300 78393\n23890 35726\n31838 47604\n98911 100000\n20417 30537\n38197 57137\n59354 89012\n63215 94821\n19616 29326\n15042 22517\n25774 38504\n89014 100000\n60838 91260\n72853 100000\n81201 100000\n42773 64003\n37655 56307\n62064 93114\n51094 76553\n51408 77032\n45488 68083\n70146 100000\n93508 100000\n57799 86693\n48284 72307\n97289 100000\n97308 100000\n21526 32186\n67812 100000\n19133 28612\n26932 40246\n93289 100000\n15901 23808\n48097 72031\n5182 7784\n39361 58914\n15703 23519\n75175 100000\n92640 100000\n32437 48501\n22719 33973\n35805 53530\n16236 24310\n16608 24845\n45047 67410\n83636 100000\n90996 100000\n49663 74405\n11864 17785\n40156 60097\n29721 44418\n39195 58658\n59370 89035\n33086 49472\n88351 100000\n4080 6142\n70800 100000\n61630 92449\n12683 19014\n17329 25930\n47032 70414\n56645 84915\n47985 71865\n86899 100000\n86027 100000\n4352 6544\n5728 8582\n27060 40437\n91842 100000\n49910 74776\n56276 84355\n38746 57980\n79502 100000\n69290 100000\n15129 22645\n71733 100000\n17682 26452\n95559 100000\n37883 56657\n58882 88307\n81246 100000\n81489 100000\n66069 99113\n31853 47626\n68110 100000\n40424 60500\n32186 48131\n4771 7178\n38904 58212\n31408 46959\n53087 79563\n61248 91889\n8894 13331\n57107 85615\n98030 100000\n84162 100000\n76477 100000\n7809 11689\n43133 64537\n34598 51728\n38874 58165\n73958 100000\n10418 15630\n65936 98906\n64625 96932\n66646 100000\n87656 100000\n50765 76044\n34349 51339\n62567 93857\n66895 100000\n9668 14498\n91190 100000\n88822 100000\n15413 23075\n30622 45771\n88481 100000\n34730 51926\n57003 85457\n33994 50803\n10264 15404\n26186 39139\n69504 100000\n72222 100000\n76624 100000\n9876 14812\n36142 54037\n59038 88531\n65208 97808\n53990 80930\n26393 39452\n88942 100000\n46234 69211\n2838 4279\n34004 50820\n13194 19771\n96831 100000\n12670 18997\n85753 100000\n34721 51913\n91533 100000\n3228 4866\n38787 58035\n72392 100000\n81098 100000\n96227 100000\n95281 100000\n38093 56977\n34642 51793\n28784 43007\n33558 50163\n91452 100000\n98609 100000\n95563 100000\n66874 100000\n41473 62066\n43950 65777\n99106 100000\n79921 100000\n4337 6518\n76376 100000\n40236 60213\n5127 7697\n15207 22763\n39792 59559\n47619 71309\n83084 100000\n25158 37584\n7392 11064\n42363 63395\n18533 27727\n25297 37792\n5149 7728\n21666 32391\n43054 64410\n92379 100000\n84714 100000\n93680 100000\n33766 50460\n4364 6560\n35794 53510\n4647 6988\n2696 4063\n47386 70962\n51238 76766\n89990 100000\n75118 100000\n18578 27792\n25215 37668\n37081 55450\n81011 100000\n16223 24290\n44438 66502\n67048 100000\n86101 100000\n40701 60912\n78671 100000\n32398 48444\n92693 100000\n9199 13806\n64592 96879\n16869 25232\n95524 100000\n61127 91691\n71175 100000\n42252 63217\n66296 99464\n23816 35617\n26169 39109\n21480 32112\n48215 72205\n18088 27069\n76364 100000\n27687 41365\n84092 100000\n99623 100000\n69307 100000\n55828 83693\n93543 100000\n55582 83323\n26027 38894\n56830 85187\n27378 40904\n28667 42830\n12163 18240\n94518 100000\n64100 96143\n56163 84196\n64642 96955\n27340 40848\n37866 56630\n50366 75460\n76949 100000\n14893 22301\n2205 3327\n2707 4082\n94805 100000\n36046 53885\n51068 76510\n25218 37672\n70854 100000\n30616 45762\n710 1078\n89530 100000\n9890 14833\n35132 52517\n49283 73828\n13206 19788\n12711 19054\n61821 92739\n48289 72315\n68749 100000\n14256 21358\n58929 88378\n36547 54648\n19732 29500\n51340 76924\n30558 45675\n49981 74872\n68760 100000\n58778 88157\n14961 22398\n30945 46261\n74325 100000\n65280 97918\n87923 100000\n41698 62391\n75869 100000\n89276 100000\n43984 65824\n46788 70054\n62883 94330\n200 303\n88913 100000\n86169 100000\n56522 84734\n54364 81495\n4871 7326\n87756 100000\n29740 44444\n23198 34687\n30379 45410\n72329 100000\n36288 54253\n55941 83863\n6869 10275\n60280 90425\n83518 100000\n24173 36148\n99554 100000\n15686 23495\n90374 100000\n84752 100000\n83454 100000\n23548 35214\n26063 38949\n78369 100000\n58907 88346\n80511 100000\n70086 100000\n36181 54090\n52260 78325\n12205 18310\n22267 33273\n77468 100000\n68036 100000\n64431 96624\n36111 53993\n64696 97034\n51284 76835\n93166 100000\n37428 55965\n57202 85770\n76438 100000\n4247 6390\n96827 100000\n18967 28370\n5129 7700\n41315 61839\n98676 100000\n92245 100000\n5539 8303\n42832 64084\n48587 72765\n22015 32905\n75581 100000\n24210 36208\n64681 97011\n75949 100000\n66527 99819\n9302 13957\n64295 96429\n66264 99412\n7642 11438\n954 1454\n33759 50450\n76818 100000\n67395 100000\n44257 66230\n19216 28732\n37423 55958\n43594 65236\n56195 84242\n82784 100000\n55613 83372\n76188 100000\n74455 100000\n7840 11736\n68623 100000\n10513 15772\n59539 89301\n82025 100000\n87165 100000\n12800 19186\n45507 68112\n16899 25277\n82864 100000\n40107 60022\n89315 100000\n40466 60561\n22654 33872\n82467 100000\n89244 100000\n96907 100000\n28503 42576\n41897 62681\n591 899\n33752 50440\n33880 50629\n72206 100000\n92753 100000\n52111 78101\n48494 72616\n71126 100000\n30781 46019\n16574 24796\n46804 70079\n11684 17520\n22832 34137\n99116 100000\n94593 100000\n73026 100000\n53252 79804\n77622 100000\n64680 97009\n24648 36840\n1961 2950\n58249 87363\n77848 100000\n69506 100000\n93975 100000\n96464 100000\n52381 78509\n94824 100000\n39092 58495\n62089 93154\n90430 100000\n22075 32997\n27330 40836\n46809 70087\n5194 7803\n65064 97584\n10234 15357\n63859 95775\n91250 100000\n60662 90995\n19262 28803\n29121 43507\n77763 100000\n12343 18514\n36524 54612\n70463 100000\n79141 100000\n29902 44693\n27191 40627\n1625 2461\n77103 100000\n33129 49535\n65378 98064\n99716 100000\n73714 100000\n89774 100000\n50988 76389\n59035 88526\n59503 89244\n57464 86175\n60354 90533\n25605 38249\n49136 73599\n6265 9375\n63975 95959\n60457 90692\n4535 6819\n70601 100000\n19634 29354\n59582 89365\n93771 100000\n7135 10672\n55273 82868\n57126 85646\n65840 98761\n96737 100000\n64553 96818\n91364 100000\n4280 6434\n27056 40430\n51246 76777\n12585 18869\n65988 98986\n81565 100000\n12073 18114\n37858 56618\n86562 100000\n8554 12806\n42227 63178\n64814 97209\n65004 97492\n70265 100000\n98939 100000\n45017 67366\n62636 93958\n75523 100000\n8736 13091\n37088 55460\n33666 50316\n42316 63320\n6633 9925\n38208 57155\n33381 49899\n9012 13520\n16927 25320\n72095 100000\n4679 7036\n95892 100000\n27382 40912\n7168 10725\n11963 17941\n26298 39310\n78386 100000\n64132 96189\n34391 51403\n94442 100000\n7551 11310\n2259 3406\n6602 9873\n57890 86827\n87720 100000\n58633 87939\n66493 99762\n95109 100000\n94105 100000\n20452 30591\n12926 19375\n91708 100000\n32127 48042\n7737 11582\n2680 4040\n94775 100000\n35256 52702\n18185 27209\n90640 100000\n68379 100000\n27183 40617\n13905 20822\n20096 30049\n93500 100000\n77601 100000\n37202 55633\n95718 100000\n21385 31966\n58144 87203\n21180 31667\n58145 87204\n26040 38914\n74245 100000\n91417 100000\n32055 47935\n75346 100000\n21525 32184\n39472 59075\n10870 16299\n59237 88834\n12256 18383\n17962 26884\n63378 95070\n41268 61765\n88186 100000\n57084 85580\n26629 39799\n69826 100000\n68795 100000\n2005 3017\n87996 100000\n59646 89463\n28382 42409\n17259 25823\n90249 100000\n84656 100000\n6557 9800\n90484 100000\n11813 17710\n32465 48540\n34664 51826\n75837 100000\n65769 98657\n95855 100000\n84649 100000\n43207 64650\n95405 100000\n56197 84245\n35671 53325\n51592 77307\n91836 100000\n99169 100000\n29777 44500\n45743 68465\n79103 100000\n93311 100000\n42574 63699\n454 685\n92735 100000\n72354 100000\n46040 68921\n70056 100000\n78587 100000\n97073 100000\n86053 100000\n73666 100000\n95136 100000\n63957 95929\n10136 15201\n90536 100000\n44323 66335\n31731 47452\n87859 100000\n99631 100000\n90055 100000\n84898 100000\n20877 31206\n25769 38498\n61983 92987\n92714 100000\n22212 33194\n89145 100000\n84466 100000\n75286 100000\n42900 64193\n60523 90790\n18287 27363\n22255 33256\n94338 100000\n68042 100000\n31464 47045\n31893 47690\n87241 100000\n70625 100000\n51205 76715\n82348 100000\n18065 27039\n86076 100000\n91307 100000\n57693 86522\n74101 100000\n6178 9246\n19522 29180\n51770 77580\n56223 84276\n2220 3348\n25229 37690\n50363 75456\n33944 50724\n6125 9172\n74506 100000\n99390 100000\n12150 18225\n76768 100000\n54628 81892\n22753 34024\n30445 45509\n27359 40876\n44696 66887\n78262 100000\n23903 35747\n92438 100000\n32338 48360\n63311 94968\n43900 65704\n92349 100000\n96216 100000\n70730 100000\n51287 76839\n65448 98170\n59609 89408\n16040 24019\n86765 100000\n83540 100000\n32712 48908\n41228 61708\n93001 100000\n63317 94978\n16436 24596\n12413 18613\n42237 63192\n31276 46763\n90532 100000\n23772 35545\n28362 42382\n41442 62022\n52156 78167\n34723 51917\n49432 74057\n83147 100000\n4729 7114\n30908 46205\n34010 50828\n64792 97174\n14213 21294\n28485 42550\n48217 72209\n85145 100000\n30165 45081\n65853 98777\n36821 55043\n63670 95502\n49267 73809\n4909 7378\n23718 35465\n69800 100000\n63794 95682\n28411 42448\n74836 100000\n64401 96583\n33337 49835\n3338 5021\n328 490\n42547 63657\n19269 28813\n96251 100000\n80573 100000\n53229 79771\n68147 100000\n28586 42699\n70206 100000\n42576 63702\n36 51\n9372 14057\n56879 85264\n96757 100000\n87933 100000\n73145 100000\n26686 39878\n29371 43873\n36444 54494\n20781 31071\n33947 50730\n12411 18609\n94951 100000\n80322 100000\n18620 27853\n39674 59383\n76338 100000\n57091 85593\n88977 100000\n65490 98237\n30059 44925\n83910 100000\n42169 63095\n72545 100000\n92225 100000\n15020 22485\n48153 72116\n57160 85706\n49474 74119\n38539 57661\n27666 41334\n30429 45484\n53077 79548\n10096 15148\n71352 100000\n19695 29446\n78876 100000\n41740 62453\n65368 98048\n21521 32178\n11702 17547\n94123 100000\n34445 51487\n9819 14730\n97628 100000\n65252 97877\n39443 59033\n29498 44061\n36615 54744\n43179 64605\n15554 23291\n76862 100000\n57171 85723\n63034 94553\n15964 23903\n36398 54430\n74360 100000\n96050 100000\n62394 93609\n86405 100000\n87301 100000\n95081 100000\n51240 76769\n44456 66529\n74175 100000\n2127 3207\n2237 3373\n44080 65968\n14249 21348\n75038 100000\n70961 100000\n3016 4546\n89836 100000\n49236 73757\n94138 100000\n52962 79379\n91570 100000\n19907 29761\n92132 100000\n42678 63858\n33560 50165\n75280 100000\n37263 55721\n58624 87928\n29993 44829\n31915 47723\n29816 44556\n17515 26205\n77301 100000\n98295 100000\n37439 55982\n71697 100000\n56151 84176\n56526 84740\n19891 29739\n83587 100000\n16693 24971\n279 422\n24152 36121\n67437 100000\n99719 100000\n77706 100000\n86669 100000\n85489 100000\n55409 83063\n73700 100000\n47593 71274\n47419 71015\n95146 100000\n22739 34004\n63575 95355\n51718 77498\n26986 40327\n16249 24331\n77150 100000\n97339 100000\n47823 71618\n35840 53577\n16513 24706\n27966 41787\n16150 24184\n44959 67279\n92426 100000\n6059 9072\n77182 100000\n8285 12401\n69763 100000\n77591 100000\n68241 100000\n71515 100000\n21345 31908\n48454 72555\n64104 96147\n89261 100000\n96377 100000\n3231 4872\n47568 71237\n65784 98681\n59736 89594\n30092 44974\n9530 14289\n16538 24745\n70221 100000\n42647 63813\n90696 100000\n21314 31859\n71899 100000\n87107 100000\n3083 4651\n13183 19753\n72802 100000\n43932 65753\n56348 84473\n36909 55181\n64061 96083\n66651 100000\n5052 7586\n58509 87760\n58444 87663\n47093 70507\n34882 52146\n37040 55383\n23334 34894\n89143 100000\n28321 42324\n85977 100000\n24351 36410\n37662 56315\n2564 3863\n91122 100000\n24370 36434\n1461 2212\n49324 73891\n65516 98273\n993 1518\n30010 44856\n24957 37288\n9201 13809\n35314 52792\n23088 34524\n61787 92686\n82943 100000\n24502 36621\n97957 100000\n71124 100000\n23468 35101\n63443 95164\n11519 17271\n87312 100000\n60852 91279\n57839 86749\n19197 28705\n76911 100000\n79235 100000\n64313 96457\n31817 47576\n97772 100000\n83891 100000\n65481 98222\n68010 100000\n63407 95111\n46275 69274\n13129 19674\n56397 84546\n62259 93413\n23979 35863\n63651 95474\n30739 45958\n32947 49260\n91508 100000\n67726 100000\n71367 100000\n17728 26518\n20161 30151\n46766 70019\n87400 100000\n21216 31720\n70238 100000\n87401 100000\n99372 100000\n78436 100000\n80186 100000\n84680 100000\n53740 80557\n76229 100000\n99191 100000\n9884 14825\n22892 34228\n39869 59676\n11642 17455\n54375 81511\n18202 27235\n8606 12882\n58707 88053\n43433 64987\n10994 16485\n91490 100000\n4964 7456\n75268 100000\n49465 74106\n44921 67221\n21491 32128\n39606 59275\n64227 96332\n83493 100000\n77423 100000\n97877 100000\n78242 100000\n91687 100000\n86526 100000\n96911 100000\n90057 100000\n45991 68848\n44325 66338\n91983 100000\n33768 50462\n3134 4728\n24625 36809\n8917 13366\n61027 91537\n74672 100000\n52040 77989\n40339 60368\n37255 55708\n2114 3188\n32772 48997\n15309 22923\n40232 60208\n41684 62376\n72991 100000\n46609 69785\n66093 99148\n28855 43119\n47562 71230\n186 282\n89622 100000\n30273 45249\n30577 45702\n1524 2309\n24874 37169\n18067 27041\n8422 12604\n18866 28220\n10486 15732\n30288 45271\n65011 97503\n32011 47872\n64026 96029\n3579 5381\n91337 100000\n80303 100000\n51383 76991\n65602 98404\n14525 21756\n58011 87011\n36895 55162\n24877 37175\n82662 100000\n39878 59689\n14983 22429\n52797 79136\n70237 100000\n48431 72521\n1224 1863\n86444 100000\n87096 100000\n29224 43661\n35484 53046\n32755 48975\n54644 81920\n49000 73384\n55345 82972\n84140 100000\n53768 80597\n18368 27484\n36816 55037\n4006 6041\n70346 100000\n1040 1590\n40635 60817\n7411 11094\n18014 26964\n45949 68785\n31219 46674\n37786 56507\n97934 100000\n42365 63397\n4212 6341\n41651 62328\n10810 16214\n60192 90291\n74747 100000\n3183 4800\n3672 5518\n93637 100000\n93577 100000\n58284 87419\n25579 38211\n69841 100000\n65224 97832\n38143 57053\n45723 68438\n45976 68825\n91921 100000\n4981 7484\n21841 32654\n2161 3254\n67158 100000\n20220 30238\n64370 96543\n79391 100000\n44406 66457\n89424 100000\n28265 42240\n30849 46119\n18659 27910\n81371 100000\n31294 46790\n63909 95852\n95498 100000\n20206 30212\n84923 100000\n53701 80502\n18094 27078\n59613 89414\n78947 100000\n412 620\n61431 92158\n28760 42968\n40638 60822\n81686 100000\n15440 23119\n1996 3003\n90187 100000\n73925 100000\n7240 10836\n21603 32297\n88862 100000\n66209 99331\n69633 100000\n36672 54821\n91404 100000\n29296 43766\n63056 94585\n38692 57898\n1372 2083\n13085 19611\n33653 50295\n21524 32182\n14922 22344\n26819 40075\n45942 68775\n75435 100000\n16299 24402\n7702 11530\n83128 100000\n5984 8955\n25502 38104\n61507 92273\n68493 100000\n54586 81824\n11502 17247\n56221 84274\n96618 100000\n45102 67493\n6283 9404\n50540 75722\n18405 27542\n30090 44971\n97913 100000\n23916 35768\n75721 100000\n13401 20082\n5813 8703\n22549 33710\n41506 62112\n98380 100000\n63849 95760\n70382 100000\n20675 30917\n71910 100000\n42510 63602\n29520 44096\n74744 100000\n96057 100000\n333 499\n60379 90567\n47266 70772\n83702 100000\n69990 100000\n53508 80202\n45778 68520\n37368 55876\n11201 16794\n94512 100000\n55704 83509\n56571 84806\n57267 85873\n33291 49767\n29391 43902\n60061 90091\n97823 100000\n2367 3573\n16560 24774\n40245 60226\n79254 100000\n97695 100000\n43487 65067\n44695 66886\n61372 92076\n52843 79199\n49572 74271\n49114 73564\n50156 75141\n93992 100000\n72611 100000\n27569 41189\n34329 51311\n82743 100000\n92999 100000\n50835 76152\n97988 100000\n30841 46108\n30439 45500\n53394 80023\n85060 100000\n59925 89880\n46646 69843\n30110 45002\n5576 8362\n5196 7805\n40000 59862\n8516 12747\n74660 100000\n74082 100000\n60627 90942\n5223 7844\n52362 78480\n19287 28840\n81392 100000\n90129 100000\n27091 40485\n12914 19359\n94318 100000\n86933 100000\n29562 44158\n78618 100000\n38688 57890\n35554 53147\n21516 32169\n40704 60915\n56463 84648\n28061 41929\n47511 71149\n42359 63387\n96100 100000\n40949 61288\n53748 80569\n72213 100000\n75458 100000\n21817 32621\n98723 100000\n77097 100000\n69759 100000\n79690 100000\n18093 27076\n18272 27340\n70007 100000\n62583 93883\n92814 100000\n11211 16808\n62550 93832\n11646 17463\n84956 100000\n9977 14962\n58919 88363\n32935 49241\n61024 91532\n45811 68570\n6188 9261\n56345 84469\n68793 100000\n95183 100000\n62051 93093\n58029 87034\n90978 100000\n44747 66963\n60811 91219\n85357 100000\n33373 49886\n96077 100000\n53448 80109\n83842 100000\n44170 66102\n79344 100000\n31117 46527\n44974 67299\n496 750\n70907 100000\n90482 100000\n27258 40725\n34665 51828\n8354 12505\n24038 35953\n10002 15000\n99491 100000\n28135 42040\n7446 11145\n73161 100000\n19351 28931\n86086 100000\n91644 100000\n35382 52890\n46671 69882\n80715 100000\n66050 99084\n24995 37342\n9569 14347\n98802 100000\n12598 18889\n49062 73480\n48166 72135\n62955 94436\n17276 25848\n9576 14358\n89792 100000\n49345 73923\n83241 100000\n14422 21603\n3101 4676\n11928 17889\n40515 60637\n80851 100000\n1144 1748\n15956 23891\n61474 92217\n42867 64136\n34126 51004\n97929 100000\n49925 74797\n21911 32753\n3258 4911\n62618 93931\n86895 100000\n86531 100000\n2909 4384\n80109 100000\n54034 81000\n29230 43671\n51778 77594\n71644 100000\n63138 94706\n86640 100000\n22480 33600\n53764 80592\n98956 100000\n68159 100000\n19230 28753\n4854 7302\n51687 77449\n50681 75927\n90004 100000\n11284 16918\n29221 43657\n31199 46643\n82481 100000\n1699 2567\n28036 41892\n48029 71925\n14317 21449\n64532 96785\n35914 53687\n37848 56602\n24218 36218\n22066 32982\n48879 73198\n41318 61843\n79498 100000\n38319 57321\n98954 100000\n6919 10348\n3781 5684\n34038 50871\n3808 5728\n13281 19899\n45377 67914\n38947 58281\n99132 100000\n78465 100000\n79829 100000\n32579 48713\n84721 100000\n5311 7970\n21165 31644\n39796 59567\n63265 94897\n47523 71171\n55039 82525\n85304 100000\n32786 49019\n47244 70737\n40876 61176\n78742 100000\n5150 7730\n82001 100000\n92598 100000\n81616 100000\n20876 31205\n5116 7682\n8902 13342\n27570 41191\n35117 52497\n29967 44790\n45782 68527\n83353 100000\n78869 100000\n96960 100000\n63051 94575\n59899 89840\n93302 100000\n69683 100000\n58920 88364\n26277 39281\n47597 71279\n82382 100000\n24002 35900\n74087 100000\n7580 11350\n199 301\n93972 100000\n23428 35032\n51604 77325\n93334 100000\n90879 100000\n70340 100000\n12151 18226\n88815 100000\n37195 55622\n31397 46946\n48844 73143\n48138 72094\n43438 64996\n72330 100000\n2012 3027\n85801 100000\n44128 66041\n35258 52706\n69585 100000\n83815 100000\n93987 100000\n75771 100000\n57367 86022\n96802 100000\n85201 100000\n89758 100000\n3328 5007\n51624 77357\n92494 100000\n59610 89410\n41607 62262\n70948 100000\n70675 100000\n27264 40734\n35055 52403\n68369 100000\n34168 51070\n22536 33689\n39252 58754\n86414 100000\n32331 48349\n65658 98489\n37355 55856\n73920 100000\n9050 13577\n43146 64554\n85563 100000\n74984 100000\n23308 34854\n82682 100000\n61556 92343\n33268 49736\n84294 100000\n60797 91198\n88472 100000\n4163 6268\n25115 37522\n19957 29834\n48218 72210\n46204 69165\n81112 100000\n12741 19101\n21386 31968\n97473 100000\n60304 90459\n26816 40072\n98480 100000\n73804 100000\n83993 100000\n42373 63409\n96232 100000\n7869 11778\n9633 14442\n88613 100000\n41250 61742\n71210 100000\n67478 100000\n41449 62032\n82076 100000\n96138 100000\n83600 100000\n84530 100000\n50477 75629\n62055 93099\n82262 100000\n39612 59286\n86525 100000\n43741 65454\n58634 87941\n24771 37020\n44513 66619\n89540 100000\n18743 28038\n37833 56581\n30971 46303\n93404 100000\n3488 5254\n27675 41346\n6920 10349\n82425 100000\n61136 91706\n64959 97425\n11733 17590\n97894 100000\n69189 100000\n5593 8386\n86214 100000\n60549 90828\n57817 86722\n85 130\n74821 100000\n94174 100000\n31335 46851\n49404 74015\n94124 100000\n23222 34725\n16184 24232\n37972 56787\n40384 60439\n10462 15694\n87670 100000\n4355 6548\n36446 54498\n71683 100000\n29592 44206\n89272 100000\n5146 7722\n36912 55184\n69536 100000\n67200 100000\n46973 70326\n54986 82444\n6073 9094\n60097 90144\n81077 100000\n62917 94383\n73742 100000\n82235 100000\n10114 15172\n43494 65077\n78131 100000\n8627 12916\n60308 90465\n87612 100000\n77552 100000\n74983 100000\n45575 68215\n55938 83859\n57676 86496\n41388 61946\n30199 45137\n29005 43343\n93675 100000\n89985 100000\n20599 30805\n13783 20643\n5250 7884\n10432 15652\n72299 100000\n14994 22445\n58762 88134\n67411 100000\n43273 64746\n30717 45921\n94485 100000\n46864 70168\n28984 43307\n55252 82837\n44731 66940\n50186 75183\n59046 88543\n28541 42635\n49685 74438\n59737 89596\n78347 100000\n72210 100000\n80824 100000\n16108 24123\n37217 55653\n4811 7236\n9456 14187\n59758 89629\n51212 76724\n58505 87752\n83130 100000\n94146 100000\n10623 15938\n78492 100000\n42763 63988\n47180 70641\n58286 87421\n25087 37478\n36302 54274\n69476 100000\n49182 73668\n82342 100000\n35992 53804\n10023 15036\n23332 34891\n4944 7429\n3518 5297\n64817 97212\n62778 94166\n36913 55185\n19592 29291\n49032 73434\n51872 77737\n39812 59589\n10450 15675\n95167 100000\n10512 15771\n63669 95501\n25417 37982\n56527 84742\n17167 25683\n559 848\n32480 48561\n33572 50185\n60099 90148\n78822 100000\n91046 100000\n48566 72729\n31825 47586\n50615 75833\n78938 100000\n14988 22435\n30421 45472\n15043 22518\n28828 43076\n74677 100000\n38857 58140\n75854 100000\n25320 37828\n20209 30217\n84447 100000\n87402 100000\n69569 100000\n95913 100000\n67250 100000\n77409 100000\n13939 20875\n85209 100000\n69819 100000\n80937 100000\n89762 100000\n57195 85761\n1778 2674\n55186 82742\n94699 100000\n52821 79171\n66160 99254\n37281 55748\n94291 100000\n2567 3869\n97158 100000\n92508 100000\n80881 100000\n78510 100000\n49798 74609\n15100 22604\n91740 100000\n92313 100000\n92217 100000\n522 793\n98161 100000\n57981 86965\n41535 62157\n15664 23461\n14993 22444\n49839 74668\n18518 27708\n61106 91657\n39242 58736\n49947 74827\n10441 15661\n1773 2667\n4323 6497\n4401 6615\n52597 78838\n53722 80532\n61925 92901\n29321 43801\n53938 80850\n25627 38281\n94265 100000\n92894 100000\n54773 82116\n57380 86040\n97296 100000\n9198 13804\n41408 61975\n50219 75237\n92869 100000\n56336 84455\n26197 39153\n25930 38741\n14719 22036\n18589 27807\n94585 100000\n54971 82417\n62580 93877\n44033 65898\n42443 63506\n78254 100000\n10092 15143\n76236 100000\n60297 90449\n28533 42623\n58467 87698\n95593 100000\n91747 100000\n8633 12924\n352 528\n72907 100000\n98201 100000\n68302 100000\n69012 100000\n81483 100000\n41716 62416\n18508 27693\n17116 25603\n3880 5844\n57468 86179\n29720 44416\n17457 26117\n56750 85070\n20839 31154\n73603 100000\n98249 100000\n63474 95209\n24816 37083\n74573 100000\n48716 72958\n80949 100000\n79787 100000\n33194 49627\n58517 87773\n24053 35976\n55187 82743\n58543 87811\n43930 65750\n87502 100000\n48099 72034\n65123 97674\n16746 25052\n98853 100000\n66163 99258\n66052 99087\n43811 65564\n66184 99293\n96715 100000\n45065 67439\n70617 100000\n73874 100000\n31983 47822\n57956 86925\n38270 57250\n89228 100000\n48012 71904\n12435 18648\n61065 91595\n43369 64888\n9148 13724\n69435 100000\n65313 97964\n19207 28721\n70691 100000\n70796 100000\n84039 100000\n27939 41745\n18403 27538\n1079 1649\n92180 100000\n70872 100000\n56787 85124\n40459 60552\n15294 22900\n61091 91633\n56302 84400\n95830 100000\n45605 68259\n26898 40193\n28943 43245\n75584 100000\n82816 100000\n34493 51564\n41791 62526\n56412 84573\n67451 100000\n4379 6581\n59690 89526\n25026 37384\n3795 5708\n54051 81027\n22543 33701\n62622 93938\n43090 64468\n29746 44454\n66462 99716\n25172 37605\n9429 14145\n28053 41917\n32035 47905\n22496 33626\n9215 13830\n35690 53358\n81192 100000\n49496 74153\n581 882\n20013 29920\n43262 64729\n16003 23965\n5701 8539\n640 976\n47574 71249\n74477 100000\n1975 2971\n84304 100000\n43003 64338\n28125 42024\n54568 81799\n63341 95015\n40468 60565\n54592 81833\n41177 61631\n52250 78311\n20496 30661\n69176 100000\n60507 90763\n92036 100000\n72766 100000\n84534 100000\n41647 62322\n71573 100000\n70614 100000\n62524 93793\n13557 20317\n92305 100000\n53937 80848\n80979 100000\n12924 19373\n763 1163\n2227 3357\n85439 100000\n12826 19228\n80356 100000\n38183 57115\n56008 83960\n47154 70605\n28335 42345\n96748 100000\n94289 100000\n91827 100000\n39737 59478\n29006 43344\n4319 6490\n87723 100000\n14209 21288\n95098 100000\n9483 14226\n49957 74840\n25924 38733\n61028 91539\n79508 100000\n87917 100000\n15148 22674\n21712 32462\n84773 100000\n6877 10286\n65207 97806\n59472 89198\n89477 100000\n47050 70439\n39731 59469\n12959 19426\n71519 100000\n55099 82615\n60125 90191\n31580 47220\n29158 43564\n63022 94537\n38763 58002\n94757 100000\n80686 100000\n5860 8769\n29790 44518\n41645 62319\n88390 100000\n87061 100000\n21429 32034\n6096 9129\n86622 100000\n87713 100000\n70893 100000\n87855 100000\n68986 100000\n84793 100000\n12637 18944\n37641 56283\n68440 100000\n12360 18537\n88591 100000\n26709 39913\n79086 100000\n67392 100000\n52323 78424\n2528 3811\n1756 2646\n65401 98098\n49020 73413\n28327 42334\n23023 34423\n77832 100000\n95735 100000\n80199 100000\n64225 96329\n52297 78389\n74202 100000\n53767 80596\n3744 5630\n55188 82745\n75311 100000\n57622 86416\n78452 100000\n96836 100000\n161 244\n63603 95398\n93162 100000\n5759 8625\n211 320\n55836 83704\n68472 100000\n51774 77587\n32374 48410\n25468 38051\n61495 92254\n71795 100000\n78783 100000\n88370 100000\n36862 55110\n71718 100000\n47357 70915\n16291 24389\n1452 2198\n43549 65163\n68211 100000\n8763 13130\n19460 29101\n46146 69076\n44320 66329\n60577 90869\n53890 80778\n61168 91761\n88502 100000\n39422 58999\n74494 100000\n66688 100000\n15978 23924\n21701 32445\n97908 100000\n34969 52275\n75857 100000\n22223 33209\n23278 34808\n97410 100000\n18984 28394\n94737 100000\n6369 9536\n93550 100000\n95430 100000\n82111 100000\n49344 73922\n19563 29247\n74448 100000\n61013 91515\n91228 100000\n20900 31240\n59922 89877\n37049 55400\n53221 79759\n95726 100000\n85374 100000\n90005 100000\n46429 69512\n4952 7439\n79272 100000\n57638 86440\n59291 88915\n8632 12923\n31145 46569\n58827 88227\n94838 100000\n59723 89577\n72555 100000\n5707 8548\n80060 100000\n23720 35468\n77759 100000\n67302 100000\n44277 66261\n33796 50504\n99794 100000\n47948 71806\n70371 100000\n32979 49305\n25805 38552\n11384 17069\n44202 66150\n78207 100000\n18091 27073\n51214 76726\n59677 89510\n16199 24254\n7375 11041\n52283 78366\n99825 100000\n97846 100000\n5289 7939\n97663 100000\n12312 18468\n75273 100000\n16662 24924\n88203 100000\n90298 100000\n49584 74290\n14656 21936\n77547 100000\n56190 84237\n58784 88165\n95879 100000\n9685 14525\n10162 15244\n49553 74242\n76033 100000\n97183 100000\n40754 60992\n91255 100000\n4435 6663\n23868 35695\n55516 83218\n79772 100000\n71678 100000\n95627 100000\n76182 100000\n98269 100000\n94584 100000\n92129 100000\n73485 100000\n23872 35699\n61336 92024\n15968 23910\n98882 100000\n68127 100000\n7329 10971\n17177 25700\n59993 89991\n72657 100000\n97766 100000\n19333 28905\n22906 34249\n98767 100000\n4141 6234\n39855 59654\n44384 66424\n7436 11129\n96486 100000\n50445 75577\n60619 90932\n39327 58866\n31979 47818\n35583 53191\n59750 89617\n79656 100000\n54730 82051\n45240 67709\n78830 100000\n71150 100000\n35528 53111\n37120 55504\n12477 18706\n16418 24570\n23266 34792\n94053 100000\n53043 79494\n3353 5045\n3182 4798\n94643 100000\n65109 97651\n52681 78962\n85517 100000\n91565 100000\n88268 100000\n36982 55290\n84379 100000\n64240 96349\n50099 75053\n6863 10267\n3200 4826\n38803 58062\n38403 57452\n83275 100000\n65083 97614\n19079 28525\n47221 70701\n71387 100000\n99100 100000\n32052 47931\n34781 52002\n43387 64917\n62197 93320\n76276 100000\n22562 33729\n49717 74487\n55930 83846\n23994 35886\n7915 11852\n98015 100000\n57891 86829\n96476 100000\n50480 75634\n98707 100000\n51685 77447\n44792 67027\n41026 61407\n5461 8190\n40473 60573\n87825 100000\n52031 77977\n61995 93008\n38806 58067\n84992 100000\n11019 16523\n38077 56952\n26294 39306\n46325 69346\n68590 100000\n18634 27871\n87056 100000\n6529 9761\n72132 100000\n21420 32018\n61234 91863\n52716 79016\n15733 23562\n42593 63727\n44564 66690\n11478 17211\n83696 100000\n65697 98548\n38316 57317\n86182 100000\n15643 23427\n8044 12044\n51688 77450\n58030 87035\n10932 16396\n93999 100000\n2284 3445\n34569 51685\n33218 49663\n39895 59713\n35740 53430\n40621 60796\n2521 3802\n30123 45017\n32808 49057\n57775 86655\n99826 100000\n26238 39217\n12615 18915\n49221 73734\n72183 100000\n40864 61159\n47060 70454\n2188 3299\n72959 100000\n28050 41913\n20270 30315\n58806 88195\n25693 38383\n34165 51064\n53907 80805\n49262 73801\n63209 94812\n10524 15788\n24655 36850\n14821 22186\n61661 92495\n7898 11824\n94443 100000\n15534 23259\n2287 3450\n76609 100000\n72739 100000\n38364 57390\n30830 46093\n21628 32336\n30261 45229\n12191 18286\n46220 69192\n69592 100000\n21658 32381\n10311 15471\n94074 100000\n86838 100000\n78921 100000\n81534 100000\n811 1231\n36346 54346\n48156 72120\n61236 91867\n26447 39531\n97848 100000\n4386 6592\n35967 53765\n61034 91548\n49487 74138\n67573 100000\n51481 77137\n69107 100000\n92489 100000\n65725 98591\n20345 30426\n21347 31911\n88527 100000\n98605 100000\n37430 55969\n18994 28408\n61683 92531\n19966 29850\n4760 7158\n13209 19792\n31927 47740\n68231 100000\n20541 30724\n52647 78908\n13677 20483\n15231 22798\n45118 67519\n90151 100000\n7707 11538\n64283 96411\n94396 100000\n840 1275\n88665 100000\n54841 82217\n31567 47201\n23044 34456\n5581 8369\n65692 98540\n69611 100000\n97647 100000\n76935 100000\n12923 19372\n47369 70934\n45619 68280\n41789 62522\n20163 30154\n33885 50636\n9293 13944\n34377 51382\n15081 22576\n37064 55422\n42578 63704\n83909 100000\n45684 68378\n73528 100000\n51831 77678\n35039 52380\n41386 61944\n56593 84837\n35962 53757\n59759 89631\n841 1277\n10157 15235\n2693 4059\n25056 37430\n72221 100000\n54622 81882\n33929 50699\n6911 10336\n73056 100000\n92632 100000\n50867 76203\n43350 64859\n86634 100000\n76571 100000\n91984 100000\n91692 100000\n98543 100000\n14107 21128\n52441 78598\n64944 97403\n68144 100000\n20393 30500\n97822 100000\n6303 9433\n84371 100000\n71927 100000\n87393 100000\n74367 100000\n52145 78154\n13843 20733\n62376 93587\n85160 100000\n49920 74789\n48605 72795\n26256 39248\n33472 50035\n45173 67606\n65457 98186\n67701 100000\n94505 100000\n4756 7151\n16855 25210\n40705 60916\n23641 35347\n74674 100000\n49858 74697\n2383 3597\n52991 79418\n16213 24276\n49439 74069\n25717 38419\n18986 28397\n21882 32709\n32787 49020\n92554 100000\n2553 3848\n59747 89612\n49450 74085\n89585 100000\n75062 100000\n15585 23336\n7998 11974\n94698 100000\n22542 33699\n57972 86952\n54382 81520\n23239 34750\n46863 70167\n11769 17647\n33220 49666\n57363 86016\n4617 6943\n48981 73355\n58093 87132\n14984 22430\n73967 100000\n8887 13320\n19201 28712\n64991 97471\n81464 100000\n61908 92878\n88192 100000\n54015 80969\n91702 100000\n60929 91391\n29040 43394\n2168 3265\n61344 92037\n15190 22740\n97736 100000\n73591 100000\n67705 100000\n36612 54740\n20865 31192\n4586 6895\n44025 65885\n85867 100000\n64918 97366\n9676 14512\n91191 100000\n63124 94687\n34242 51181\n62687 94031\n52281 78363\n75775 100000\n57189 85752\n23980 35864\n1583 2400\n8876 13303\n94406 100000\n13475 20191\n80640 100000\n48515 72650\n94342 100000\n86186 100000\n78899 100000\n66037 99062\n37419 55951\n77073 100000\n31718 47437\n62313 93493\n93697 100000\n78058 100000\n4407 6625\n25650 38314\n9662 14489\n7077 10586\n89531 100000\n91429 100000\n24049 35970\n61987 92994\n50667 75905\n65164 97738\n44103 66004\n58994 88472\n90669 100000\n82827 100000\n2456 3707\n38368 57395\n3056 4607\n74485 100000\n46165 69106\n59087 88605\n77515 100000\n77769 100000\n22601 33788\n49732 74510\n51510 77181\n48282 72304\n59856 89775\n25011 37364\n2354 3550\n31462 47041\n91618 100000\n72801 100000\n72277 100000\n17151 25657\n14853 22240\n59143 88692\n13544 20296\n22977 34349\n4522 6799\n78673 100000\n47783 71560\n25723 38428\n58593 87883\n96136 100000\n33842 50572\n66832 100000\n35960 53754\n74694 100000\n23736 35491\n23371 34948\n62262 93418\n1788 2691\n97126 100000\n53856 80724\n54853 82235\n92456 100000\n64362 96532\n71929 100000\n36952 55245\n34128 51007\n1262 1919\n39980 59835\n96239 100000\n63275 94911\n92029 100000\n7340 10988\n72045 100000\n93411 100000\n36937 55222\n51324 76900\n16773 25089\n88148 100000\n54262 81342\n47750 71510\n34200 51119\n19700 29453\n26919 40229\n49224 73737\n38989 58345\n16907 25289\n63182 94773\n99669 100000\n43704 65397\n10479 15721\n44467 66547\n13471 20186\n22596 33782\n10787 16182\n59171 88735\n44678 66861\n78758 100000\n88571 100000\n85245 100000\n39324 58861\n17499 26181\n61798 92703\n26607 39769\n25257 37733\n68549 100000\n51769 77578\n50551 75740\n67065 100000\n79493 100000\n58197 87282\n50351 75439\n66483 99749\n33257 49720\n31356 46881\n31403 46953\n72728 100000\n56848 85218\n25156 37581\n94823 100000\n89848 100000\n60158 90240\n73030 100000\n73473 100000\n88355 100000\n18442 27597\n42762 63986\n62732 94099\n50519 75692\n18541 27737\n37955 56760\n38078 56954\n49076 73500\n46334 69362\n48855 73162\n91512 100000\n67149 100000\n93743 100000\n8193 12267\n91326 100000\n8596 12866\n38348 57365\n23510 35163\n47359 70918\n65168 97744\n92682 100000\n1476 2237\n8941 13408\n63134 94699\n65180 97763\n13094 19625\n92344 100000\n99901 100000\n98009 100000\n22843 34152\n32569 48699\n62836 94257\n85555 100000\n73675 100000\n60218 90328\n10629 15946\n79618 100000\n4112 6190\n84403 100000\n15655 23447\n53148 79655\n30109 45001\n21660 32383\n32089 47985\n6328 9474\n79321 100000\n23319 34870\n84544 100000\n70094 100000\n99317 100000\n84490 100000\n99652 100000\n24239 36248\n13572 20336\n44218 66172\n1371 2082\n63741 95605\n4745 7135\n37818 56558\n7224 10813\n74295 100000\n45578 68220\n49410 74024\n26411 39478\n1449 2193\n10395 15598\n62976 94465\n48847 73148\n1247 1898\n80431 100000\n95161 100000\n72792 100000\n29271 43733\n13432 20129\n64143 96205\n76886 100000\n54308 81406\n49300 73851\n53113 79601\n90592 100000\n35494 53061\n37490 56056\n22639 33849\n65374 98057\n88653 100000\n4516 6789\n14834 22208\n97365 100000\n73257 100000\n98063 100000\n45939 68769\n25876 38661\n86187 100000\n44569 66699\n46892 70211\n465 702\n69445 100000\n91367 100000\n73743 100000\n54027 80989\n49678 74427\n44040 65907\n68217 100000\n5478 8212\n44031 65895\n87104 100000\n93022 100000\n61577 92375\n77049 100000\n56391 84538\n7590 11365\n13860 20758\n70272 100000\n32069 47956\n5668 8493\n62192 93314\n13464 20176\n9323 13990\n39000 58362\n28384 42412\n47533 71187\n21483 32115\n44935 67247\n56447 84622\n35437 52977\n37631 56266\n68464 100000\n64520 96766\n26894 40186\n83604 100000\n82523 100000\n26799 40045\n12963 19433\n42558 63675\n36331 54321\n42908 64203\n33173 49598\n67311 100000\n89138 100000\n40916 61235\n40048 59934\n24846 37127\n62169 93277\n39050 58435\n2507 3780\n51750 77547\n83501 100000\n83221 100000\n46114 69029\n47959 71824\n61280 91941\n96398 100000\n87105 100000\n2734 4120\n2430 3666\n56143 84163\n44776 67006\n16106 24120\n59207 88789\n13249 19852\n29624 44258\n59531 89287\n8418 12599\n19205 28718\n83393 100000\n60071 90106\n62113 93193\n85811 100000\n82971 100000\n25604 38247\n7387 11058\n49130 73587\n97871 100000\n62808 94213\n19031 28454\n22325 33361\n79026 100000\n44517 66624\n63928 95881\n980 1497\n31609 47267\n47436 71040\n96859 100000\n86925 100000\n51535 77219\n51567 77266\n50738 76007\n83838 100000\n57535 86280\n95860 100000\n98183 100000\n91766 100000\n56986 85428\n51184 76681\n99817 100000\n10497 15750\n58833 88234\n4821 7251\n78779 100000\n40628 60808\n14306 21435\n29937 44746\n34194 51109\n20828 31139\n82189 100000\n83599 100000\n73394 100000\n40643 60828\n25867 38650\n1289 1957\n35615 53238\n41306 61825\n94199 100000\n4656 7001\n11417 17118\n7634 11424\n44101 66000\n3792 5703\n88941 100000\n1863 2803\n47188 70653\n4192 6311\n95319 100000\n16146 24180\n88703 100000\n26992 40335\n33098 49488\n17 25\n86671 100000\n73173 100000\n89809 100000\n83126 100000\n17125 25618\n42425 63483\n72135 100000\n7681 11499\n98007 100000\n72696 100000\n26378 39429\n54415 81570\n53139 79641\n44148 66069\n20763 31045\n36136 54029\n35995 53809\n8638 12933\n85630 100000\n68540 100000\n2318 3497\n40004 59869\n98491 100000\n59039 88533\n56469 84657\n37557 56150\n17950 26867\n64186 96270\n99120 100000\n45502 68103\n89184 100000\n78329 100000\n84694 100000\n2666 4018\n54875 82270\n74281 100000\n58945 88400\n29018 43362\n85787 100000\n54272 81355\n65191 97781\n91769 100000\n44346 66368\n79416 100000\n89716 100000\n41111 61532\n31670 47369\n76616 100000\n56747 85066\n5721 8572\n95010 100000\n23993 35885\n54580 81816\n73141 100000\n23486 35129\n12454 18675\n8006 11984\n40978 61329\n72741 100000\n14269 21378\n39182 58635\n60319 90484\n31917 47727\n2286 3449\n74788 100000\n77614 100000\n53281 79844\n98306 100000\n75240 100000\n55887 83777\n67657 100000\n23229 34736\n14973 22415\n38650 57836\n73597 100000\n85128 100000\n37063 55420\n72569 100000\n24244 36256\n75767 100000\n58388 87580\n90693 100000\n58693 88032\n82657 100000\n1854 2789\n71155 100000\n83198 100000\n48383 72452\n7343 10993\n66011 99021\n69966 100000\n66255 99395\n39704 59428\n8656 12964\n27659 41326\n81476 100000\n72516 100000\n75189 100000\n99251 100000\n73273 100000\n51870 77735\n99098 100000\n45106 67499\n37690 56360\n40030 59908\n30357 45375\n45910 68724\n57540 86287\n57695 86525\n17377 25999\n75948 100000\n48306 72340\n34662 51822\n27401 40941\n80520 100000\n65807 98714\n23968 35846\n93320 100000\n46770 70025\n69191 100000\n36698 54855\n54704 82010\n68743 100000\n62936 94411\n48436 72529\n26854 40126\n87257 100000\n47076 70478\n5155 7739\n16917 25305\n50470 75619\n50528 75706\n13181 19750\n2447 3694\n24481 36590\n45565 68201\n71787 100000\n22531 33680\n5604 8402\n5858 8766\n35007 52332\n97861 100000\n72331 100000\n71667 100000\n54402 81550\n86808 100000\n40439 60521\n15709 23529\n54324 81431\n69491 100000\n40093 60002\n16282 24377\n47831 71631\n11475 17207\n91008 100000\n21006 31403\n77858 100000\n32713 48909\n77041 100000\n64159 96228\n71674 100000\n64163 96235\n25482 38074\n89633 100000\n35209 52631\n1805 2714\n48778 73046\n68599 100000\n75362 100000\n34991 52310\n63545 95310\n63376 95068\n54313 81413\n35922 53701\n43627 65288\n87706 100000\n96829 100000\n2294 3459\n7105 10625\n27636 41296\n87697 100000\n52605 78850\n42899 64191\n38482 57574\n8552 12803\n11308 16954\n94214 100000\n49323 73889\n81364 100000\n40964 61307\n34370 51371\n6078 9101\n52499 78686\n62424 93646\n8728 13078\n94036 100000\n98529 100000\n30912 46212\n95995 100000\n99705 100000\n51911 77794\n65505 98259\n21247 31764\n99709 100000\n3593 5402\n62845 94271\n86189 100000\n7951 11908\n60331 90501\n53116 79606\n52127 78127\n3103 4679\n2352 3547\n2851 4300\n87951 100000\n78330 100000\n81256 100000\n72992 100000\n52612 78859\n41095 61508\n81765 100000\n295 444\n85983 100000\n38256 57230\n20991 31379\n91942 100000\n91300 100000\n41391 61950\n35321 52803\n49837 74665\n15570 23316\n16331 24447\n44354 66382\n44856 67122\n32536 48650\n59952 89926\n29778 44502\n95344 100000\n14064 21060\n90165 100000\n4225 6359\n98461 100000\n13842 20731\n25380 37925\n98366 100000\n30461 45535\n67370 100000\n74664 100000\n71007 100000\n56437 84609\n68870 100000\n63585 95369\n96758 100000\n92578 100000\n76391 100000\n91885 100000\n42376 63414\n69426 100000\n43912 65721\n52901 79281\n13655 20454\n86421 100000\n38300 57298\n81181 100000\n6984 10446\n92167 100000\n85353 100000\n84548 100000\n84157 100000\n63952 95922\n55217 82783\n81437 100000\n47360 70919\n93656 100000\n99843 100000\n56255 84323\n17956 26876\n86584 100000\n63913 95858\n64244 96356\n48601 72789\n14363 21513\n93764 100000\n51001 76409\n50383 75485\n60452 90683\n47526 71175\n99091 100000\n5023 7547\n47309 70834\n69666 100000\n28043 41902\n99991 100000\n70398 100000\n17770 26583\n77139 100000\n28310 42305\n89204 100000\n88882 100000\n62359 93561\n88595 100000\n27192 40629\n86569 100000\n65472 98209\n26196 39152\n7101 10619\n89332 100000\n73557 100000\n55032 82514\n56981 85419\n7803 11681\n81164 100000\n86892 100000\n49140 73605\n30542 45651\n59348 89003\n20645 30874\n86334 100000\n31811 47566\n25599 38241\n94798 100000\n3623 5443\n68903 100000\n37685 56353\n23400 34988\n99903 100000\n31725 47445\n97882 100000\n92770 100000\n11760 17631\n95399 100000\n53517 80218\n68901 100000\n44285 66274\n30885 46171\n6910 10334\n80317 100000\n58278 87409\n51306 76872\n61722 92588\n84729 100000\n73114 100000\n70920 100000\n32621 48775\n57790 86681\n80112 100000\n95240 100000\n86060 100000\n67684 100000\n27556 41169\n62978 94468\n66613 99951\n44670 66851\n35546 53135\n19252 28787\n5633 8443\n30119 45012\n10969 16451\n13800 20667\n98837 100000\n63834 95740\n16379 24514\n20543 30726\n26529 39655\n23081 34512\n21024 31433\n1058 1618\n38983 58336\n38292 57282\n33146 49559\n39307 58833\n11810 17707\n38424 57482\n68610 100000\n45057 67426\n27473 41043\n9760 14644\n64027 96030\n78196 100000\n12647 18958\n69674 100000\n55031 82513\n94224 100000\n2247 3387\n92978 100000\n3741 5626\n53089 79566\n56806 85153\n67470 100000\n90572 100000\n51247 76779\n14071 21070\n36889 55153\n28373 42396\n28497 42569\n73667 100000\n90594 100000\n96219 100000\n11804 17700\n56733 85046\n10624 15940\n19400 29009\n12912 19357\n53787 80623\n31822 47583\n62151 93251\n77168 100000\n17660 26423\n76083 100000\n36671 54820\n30070 44941\n35666 53317\n65103 97641\n22627 33828\n16523 24725\n95546 100000\n62675 94013\n61262 91911\n46270 69267\n96877 100000\n85069 100000\n33461 50020\n99137 100000\n369 553\n89416 100000\n95773 100000\n6335 9484\n64190 96275\n34915 52196\n9946 14918\n99305 100000\n69871 100000\n83800 100000\n65506 98260\n94872 100000\n26304 39320\n24169 36141\n81973 100000\n51827 77672\n21735 32496\n6991 10458\n47252 70752\n58091 87128\n15364 23000\n4803 7225\n84192 100000\n84666 100000\n73415 100000\n96289 100000\n19293 28847\n71944 100000\n38305 57304\n82817 100000\n99282 100000\n95904 100000\n404 607\n2585 3895\n31925 47738\n86002 100000\n92436 100000\n74437 100000\n61480 92227\n24314 36357\n85972 100000\n65019 97516\n58051 87067\n24149 36117\n53084 79559\n53801 80643\n67391 100000\n66797 100000\n76095 100000\n38975 58324\n55532 83243\n15016 22479\n81840 100000\n99642 100000\n72712 100000\n14169 21225\n65729 98596\n58840 88245\n85336 100000\n4518 6792\n64273 96397\n46590 69756\n1221 1859\n38205 57151\n95028 100000\n32952 49266\n95271 100000\n44059 65937\n91338 100000\n3555 5350\n31352 46876\n54707 82016\n61454 92190\n41438 62015\n52078 78049\n57917 86868\n67489 100000\n27630 41286\n13877 20781\n1820 2738\n74729 100000\n22381 33447\n88198 100000\n92607 100000\n1626 2462\n12737 19095\n65817 98728\n2467 3723\n39680 59391\n18803 28129\n95035 100000\n84667 100000\n19694 29444\n83527 100000\n67432 100000\n68826 100000\n18556 27760\n47719 71460\n82823 100000\n21167 31648\n74745 100000\n30600 45734\n99153 100000\n1059 1620\n83102 100000\n36412 54450\n14788 22135\n63523 95276\n54791 82143\n98842 100000\n86251 100000\n19457 29096\n33303 49785\n39519 59145\n27079 40470\n60792 91190\n73441 100000\n50843 76165\n90764 100000\n49256 73791\n29655 44313\n45054 67421\n41975 62794\n68709 100000\n84789 100000\n17395 26027\n84901 100000\n72554 100000\n84450 100000\n79457 100000\n3709 5578\n39484 59092\n4038 6085\n15597 23357\n77284 100000\n93549 100000\n89363 100000\n40933 61262\n75912 100000\n96916 100000\n62591 93894\n4348 6536\n17034 25480\n50712 75968\n74148 100000\n76226 100000\n42988 64317\n86348 100000\n16748 25054\n98029 100000\n31122 46532\n57863 86786\n54422 81580\n32204 48163\n15820 23685\n5175 7772\n93110 100000\n59558 89333\n2749 4145\n79449 100000\n18726 28014\n32727 48929\n29647 44298\n10106 15162\n19300 28859\n64531 96784\n81147 100000\n17689 26462\n34520 51609\n43789 65529\n979 1495\n69169 100000\n1098 1679\n14117 21144\n1839 2767\n99785 100000\n50696 75945\n40290 60289\n31229 46692\n24216 36216\n75827 100000\n33046 49406\n89909 100000\n56812 85163\n50514 75685\n53215 79750\n46065 68957\n61220 91839\n47413 71007\n65030 97534\n5078 7627\n97667 100000\n45186 67625\n83068 100000\n31483 47074\n37318 55800\n96516 100000\n34740 51941\n54814 82179\n55655 83431\n47052 70441\n67289 100000\n13869 20770\n23141 34601\n510 774\n20928 31282\n17810 26640\n35551 53143\n18615 27846\n98540 100000\n87331 100000\n68615 100000\n58544 87812\n82039 100000\n82251 100000\n45632 68297\n50871 76208\n7161 10713\n54143 81166\n85138 100000\n12625 18927\n84628 100000\n91785 100000\n46431 69515\n99686 100000\n85470 100000\n52091 78070\n75567 100000\n16688 24963\n21098 31547\n90737 100000\n28641 42786\n94911 100000\n72332 100000\n41273 61775\n29537 44124\n79733 100000\n25416 37981\n85531 100000\n96541 100000\n40759 61001\n82684 100000\n44703 66897\n16056 24043\n82422 100000\n75411 100000\n77835 100000\n93685 100000\n57691 86520\n79855 100000\n80416 100000\n32173 48112\n70536 100000\n71665 100000\n36335 54328\n76379 100000\n34037 50869\n5584 8373\n37993 56819\n43806 65556\n31033 46400\n60338 90511\n81591 100000\n81060 100000\n45031 67389\n53330 79923\n66275 99432\n91193 100000\n76842 100000\n84237 100000\n98598 100000\n11015 16517\n17070 25536\n29150 43551\n56281 84365\n83582 100000\n40307 60317\n47879 71703\n36315 54294\n90590 100000\n39877 59687\n10249 15380\n95898 100000\n17069 25534\n3919 5908\n42848 64107\n91206 100000\n81365 100000\n58449 87672\n40354 60391\n17702 26479\n41455 62041\n2293 3458\n5384 8078\n67691 100000\n35440 52981\n32962 49281\n6420 9606\n65615 98424\n2202 3322\n72758 100000\n19972 29860\n27317 40816\n58501 87746\n40898 61209\n40631 60811\n92791 100000\n41763 62484\n99124 100000\n32977 49302\n54750 82082\n2036 3066\n2995 4514\n6482 9687\n71392 100000\n81217 100000\n24878 37176\n78823 100000\n28840 43095\n33023 49372\n61837 92768\n84486 100000\n87075 100000\n96880 100000\n78892 100000\n80819 100000\n80108 100000\n56385 84530\n44736 66947\n47642 71345\n70035 100000\n91541 100000\n26911 40213\n69251 100000\n84659 100000\n86428 100000\n90440 100000\n49461 74100\n25530 38143\n83962 100000\n3761 5655\n92262 100000\n73595 100000\n46900 70224\n94782 100000\n9913 14870\n66074 99121\n8119 12156\n12662 18983\n16298 24400\n21562 32238\n24352 36411\n34485 51552\n4720 7099\n94633 100000\n10586 15885\n49642 74373\n10825 16233\n6399 9577\n75365 100000\n56498 84699\n80916 100000\n87559 100000\n87158 100000\n45505 68108\n70562 100000\n72368 100000\n70312 100000\n6418 9604\n31729 47450\n28835 43087\n8535 12776\n67861 100000\n2775 4186\n94903 100000\n7970 11935\n98341 100000\n8257 12357\n18564 27772\n25446 38021\n68216 100000\n35431 52967\n27058 40434\n31986 47826\n40951 61290\n7048 10541\n91428 100000\n17489 26165\n35866 53614\n89048 100000\n49194 73688\n39418 58993\n57942 86906\n53483 80163\n9742 14616\n56613 84870\n46170 69114\n37160 55568\n66056 99094\n13938 20874\n81126 100000\n14255 21357\n97499 100000\n87305 100000\n98876 100000\n59233 88830\n84191 100000\n76177 100000\n87792 100000\n79125 100000\n80684 100000\n83545 100000\n66156 99247\n27740 41448\n9278 13920\n4645 6985\n7333 10976\n34486 51554\n60897 91349\n62572 93864\n51167 76658\n19076 28521\n37683 56351\n85161 100000\n92433 100000\n87835 100000\n95465 100000\n85641 100000\n38258 57232\n36609 54735\n54747 82077\n68058 100000\n92164 100000\n90531 100000\n12213 18321\n74929 100000\n5774 8649\n39102 58511\n41771 62495\n7579 11349\n57636 86437\n70177 100000\n43679 65363\n80210 100000\n92393 100000\n28243 42209\n44789 67024\n31905 47708\n36155 54053\n87877 100000\n52850 79209\n52610 78856\n61944 92929\n86773 100000\n61354 92051\n59161 88719\n72547 100000\n5144 7720\n28597 42717\n69324 100000\n24574 36728\n2040 3072\n23211 34706\n42354 63379\n35425 52960\n6876 10285\n70076 100000\n70429 100000\n46375 69427\n32305 48310\n75231 100000\n79233 100000\n95717 100000\n65231 97844\n9540 14304\n45989 68845\n46869 70176\n41969 62786\n7600 11378\n70079 100000\n87309 100000\n85176 100000\n66522 99812\n19035 28459\n36653 54796\n45551 68177\n65007 97497\n32909 49204\n96815 100000\n86316 100000\n80957 100000\n88890 100000\n62235 93379\n76540 100000\n6463 9662\n67531 100000\n80067 100000\n54125 81137\n46294 69301\n44635 66802\n60300 90453\n9683 14522\n60755 91136\n88142 100000\n41297 61813\n87015 100000\n35303 52775\n37579 56189\n57329 85965\n35266 52719\n46826 70114\n89832 100000\n93172 100000\n38249 57218\n98931 100000\n65140 97700\n955 1456\n97019 100000\n44780 67013\n92649 100000\n78009 100000\n35214 52637\n15561 23303\n22451 33559\n94688 100000\n22907 34250\n20108 30069\n35539 53126\n69280 100000\n79658 100000\n13651 20450\n3475 5235\n7798 11673\n50214 75230\n98900 100000\n40191 60150\n63850 95762\n83709 100000\n72429 100000\n39329 58870\n89749 100000\n83547 100000\n9084 13629\n23166 34638\n73648 100000\n27760 41473\n88545 100000\n43227 64680\n24865 37154\n51352 76943\n30825 46086\n63691 95531\n89781 100000\n76248 100000\n95486 100000\n68559 100000\n32259 48241\n8821 13219\n30627 45781\n5463 8192\n21696 32438\n48046 71952\n20383 30482\n44342 66363\n16224 24292\n77348 100000\n63700 95545\n62503 93760\n76485 100000\n15555 23292\n150 225\n46598 69767\n93115 100000\n70906 100000\n29880 44658\n81993 100000\n71763 100000\n88659 100000\n35447 52991\n46688 69906\n76657 100000\n73738 100000\n73310 100000\n43697 65389\n54496 81691\n65795 98695\n19952 29827\n89458 100000\n95148 100000\n39951 59793\n86243 100000\n56165 84198\n70311 100000\n73543 100000\n47194 70661\n60083 90124\n55379 83020\n66766 100000\n36866 55116\n64870 97292\n11404 17098\n58954 88411\n13590 20363\n80001 100000\n93257 100000\n97186 100000\n822 1248\n95357 100000\n40958 61299\n55372 83011\n60312 90471\n11216 16816\n22701 33942\n95060 100000\n86631 100000\n80559 100000\n8762 13129\n47902 71741\n21391 31976\n198 300\n64566 96839\n63071 94606\n31448 47021\n63610 95409\n87603 100000\n55201 82762\n73166 100000\n4311 6478\n62498 93754\n22060 32973\n25007 37358\n24973 37311\n58262 87382\n75020 100000\n87968 100000\n85025 100000\n87317 100000\n78468 100000\n13133 19681\n92619 100000\n15814 23678\n45364 67894\n97935 100000\n60628 90944\n85029 100000\n35977 53780\n54323 81429\n21795 32585\n49754 74543\n93117 100000\n94540 100000\n40367 60412\n15087 22584\n47756 71521\n59072 88584\n8050 12053\n42236 63191\n79894 100000\n64888 97320\n37800 56528\n17054 25510\n17560 26268\n24916 37231\n70329 100000\n50891 76240\n87303 100000\n94632 100000\n19064 28504\n86253 100000\n18323 27412\n3844 5784\n16981 25400\n64670 96996\n23512 35165\n69786 100000\n1486 2251\n54812 82176\n67914 100000\n21672 32399\n70573 100000\n45764 68500\n46093 69000\n90279 100000\n46172 69118\n3707 5575\n55255 82843\n26841 40107\n44614 66770\n10766 16153\n95426 100000\n71335 100000\n4470 6718\n52803 79144\n23679 35407\n46435 69522\n33183 49613\n81920 100000\n8972 13455\n95262 100000\n67281 100000\n74214 100000\n96666 100000\n8793 13178\n82106 100000\n78821 100000\n68533 100000\n59604 89401\n38560 57696\n52749 79062\n55732 83553\n49372 73964\n81100 100000\n42066 62935\n44707 66902\n27604 41246\n48691 72920\n85177 100000\n12409 18607\n31713 47430\n1064 1628\n70895 100000\n48727 72974\n22856 34172\n98237 100000\n64549 96812\n72407 100000\n25462 38043\n38358 57380\n94955 100000\n62078 93139\n69950 100000\n33320 49811\n22382 33448\n93464 100000\n1734 2612\n15882 23779\n30789 46030\n60945 91414\n80722 100000\n41055 61449\n57714 86557\n86719 100000\n65014 97508\n34839 52084\n2965 4467\n23097 34539\n64232 96339\n79745 100000\n21123 31582\n40880 61183\n67651 100000\n66602 99936\n98758 100000\n66982 100000\n18571 27783\n66585 99909\n70653 100000\n37365 55872\n67104 100000\n43219 64668\n15923 23841\n4266 6416\n72231 100000\n1022 1561\n22714 33964\n45481 68074\n1742 2624\n38325 57331\n4517 6790\n19571 29259\n73864 100000\n68721 100000\n1757 2647\n82873 100000\n72283 100000\n42087 62966\n3304 4973\n37937 56736\n95955 100000\n48989 73368\n65397 98091\n47081 70487\n32649 48815\n90425 100000\n34211 51137\n67962 100000\n79162 100000\n30264 45233\n35662 53310\n51316 76890\n7073 10580\n2133 3216\n54146 81170\n52957 79370\n28551 42648\n73118 100000\n43338 64839\n21235 31748\n75025 100000\n24507 36628\n24967 37301\n53913 80815\n44100 65998\n46426 69508\n83943 100000\n33534 50123\n99456 100000\n85017 100000\n39200 58666\n73414 100000\n99108 100000\n44210 66162\n49954 74836\n60306 90463\n81165 100000\n918 1399\n35402 52924\n10568 15860\n21765 32541\n6230 9323\n19537 29204\n20560 30752\n6773 10134\n35902 53666\n8288 12405\n95789 100000\n98327 100000\n59204 88785\n16383 24519\n2923 4402\n43434 64989\n63939 95900\n92402 100000\n11898 17841\n93178 100000\n3022 4554\n62293 93463\n32042 47914\n7819 11703\n65396 98090\n57218 85795\n95349 100000\n16006 23969\n89898 100000\n75044 100000\n73383 100000\n10055 15086\n11916 17869\n96814 100000\n63220 94827\n72493 100000\n7855 11757\n39405 58973\n20174 30169\n5893 8819\n31273 46758\n77533 100000\n11266 16890\n21478 32110\n36594 54713\n60094 90140\n93625 100000\n14526 21758\n51012 76426\n96236 100000\n37667 56324\n96353 100000\n77734 100000\n13025 19522\n50133 75106\n61838 92769\n32472 48550\n86447 100000\n84183 100000\n89679 100000\n4150 6250\n62053 93096\n38450 57526\n54074 81061\n92910 100000\n91685 100000\n2169 3267\n18624 27859\n65647 98474\n69044 100000\n20457 30598\n10312 15473\n39452 59047\n50753 76029\n59178 88745\n33900 50658\n33579 50194\n19841 29661\n69016 100000\n49864 74708\n55013 82486\n15644 23428\n64513 96755\n72692 100000\n22936 34291\n59608 89407\n89687 100000\n68157 100000\n7720 11556\n87851 100000\n14737 22064\n98806 100000\n74950 100000\n17508 26194\n25336 37850\n62702 94053\n94703 100000\n94990 100000\n57013 85470\n67520 100000\n47528 71179\n86155 100000\n71058 100000\n57387 86049\n17643 26395\n20708 30966\n18463 27626\n61397 92111\n14494 21707\n38638 57818\n87650 100000\n39598 59264\n9053 13582\n8758 13124\n13456 20164\n84820 100000\n23765 35535\n55158 82702\n80465 100000\n90548 100000\n98145 100000\n44712 66911\n11737 17595\n3112 4694\n53762 80590\n78668 100000\n94848 100000\n68411 100000\n80222 100000\n46476 69587\n89088 100000\n66431 99669\n74061 100000\n65761 98643\n48771 73036\n71042 100000\n3736 5620\n29211 43642\n71250 100000\n282 425\n66637 99986\n45049 67413\n5844 8748\n40787 61045\n20167 30160\n13522 20264\n10108 15164\n68363 100000\n91035 100000\n22575 33749\n31502 47104\n54251 81326\n22418 33504\n82557 100000\n30848 46117\n24748 36985\n27075 40464\n2570 3874\n69343 100000\n42168 63094\n62727 94092\n20482 30637\n40938 61270\n79943 100000\n66267 99416\n93218 100000\n57665 86477\n74461 100000\n5394 8091\n40646 60833\n27690 41368\n56744 85061\n72497 100000\n47102 70522\n67614 100000\n59713 89562\n14829 22200\n42081 62956\n54937 82364\n72245 100000\n70020 100000\n16183 24231\n26391 39449\n40327 60349\n75270 100000\n18917 28296\n23535 35195\n61056 91584\n81417 100000\n27808 41549\n13612 20394\n75966 100000\n1347 2044\n19688 29435\n48665 72881\n25991 38836\n41524 62139\n93077 100000\n91498 100000\n8648 12951\n92981 100000\n34258 51206\n94147 100000\n99940 100000\n44593 66741\n87039 100000\n82900 100000\n97764 100000\n69197 100000\n58406 87611\n64651 96967\n76872 100000\n23598 35285\n17667 26432\n56782 85118\n19617 29327\n12891 19325\n41461 62048\n1485 2250\n88717 100000\n44312 66316\n97155 100000\n54743 82071\n42159 63081\n62795 94193\n43711 65408\n25920 38728\n66394 99611\n31558 47189\n16066 24060\n61010 91510\n80681 100000\n40559 60702\n79170 100000\n75202 100000\n65249 97872\n82275 100000\n50878 76220\n97744 100000\n69354 100000\n65161 97732\n16758 25065\n68380 100000\n36018 53843\n4495 6756\n79189 100000\n40428 60506\n36729 54905\n20546 30730\n41281 61788\n52169 78185\n89551 100000\n19585 29279\n79212 100000\n6690 10009\n32263 48245\n18057 27025\n51615 77344\n46784 70047\n48990 73369\n22572 33744\n95531 100000\n81733 100000\n36300 54272\n33847 50580\n38203 57147\n66975 100000\n84720 100000\n36602 54724\n15724 23550\n78656 100000\n3530 5313\n45029 67385\n99217 100000\n77716 100000\n77009 100000\n82920 100000\n24609 36783\n76640 100000\n85540 100000\n11888 17827\n43650 65321\n19950 29824\n39670 59376\n34416 51439\n75808 100000\n67475 100000\n75165 100000\n72984 100000\n57938 86899\n65592 98386\n96122 100000\n9513 14268\n24046 35964\n95720 100000\n87343 100000\n91118 100000\n29262 43721\n52223 78264\n70474 100000\n54 79\n99957 100000\n99345 100000\n22082 33008\n65859 98786\n40801 61064\n31776 47515\n8792 13177\n53187 79709\n97827 100000\n98988 100000\n32545 48663\n342 513\n37796 56521\n36929 55210\n99738 100000\n63701 95547\n68355 100000\n37524 56109\n76633 100000\n63564 95340\n80548 100000\n34698 51878\n41349 61891\n65707 98560\n41387 61945\n32170 48107\n34720 51911\n5130 7701\n40645 60832\n54473 81655\n76941 100000\n12231 18347\n82516 100000\n7645 11442\n60104 90156\n72562 100000\n29783 44508\n34079 50936\n92573 100000\n68787 100000\n94381 100000\n10292 15448\n81932 100000\n4558 6852\n26749 39974\n74336 100000\n20793 31087\n77219 100000\n59519 89268\n11036 16547\n22768 34046\n48749 73006\n46547 69692\n55952 83877\n407 613\n49469 74112\n12997 19481\n73353 100000\n68552 100000\n32401 48450\n29109 43491\n11713 17563\n12715 19061\n94761 100000\n42142 63053\n85679 100000\n38648 57834\n91940 100000\n78214 100000\n40585 60743\n45279 67769\n3221 4855\n18229 27276\n13230 19823\n85283 100000\n92654 100000\n23866 35692\n57855 86775\n46753 70000\n71531 100000\n17460 26122\n86010 100000\n45148 67565\n91169 100000\n79313 100000\n41550 62177\n77833 100000\n17345 25952\n90766 100000\n83025 100000\n32609 48756\n13923 20851\n62679 94020\n50607 75823\n53755 80580\n26292 39303\n98035 100000\n18647 27890\n48280 72301\n63111 94669\n36485 54552\n24394 36465\n25953 38776\n30994 46338\n45036 67396\n45905 68716\n52690 78977\n26848 40116\n88482 100000\n76417 100000\n2000 3009\n32946 49258\n85350 100000\n65701 98554\n53858 80726\n4308 6475\n30779 46016\n53808 80652\n92839 100000\n61035 91550\n74459 100000\n32764 48985\n69778 100000\n53499 80188\n81449 100000\n4946 7432\n21362 31932\n74203 100000\n19239 28767\n72594 100000\n70598 100000\n28854 43117\n90698 100000\n94697 100000\n24733 36962\n59700 89542\n92948 100000\n11028 16534\n40442 60526\n79973 100000\n52888 79264\n53649 80424\n37164 55574\n29761 44475\n42190 63126\n87020 100000\n28167 42093\n42989 64318\n83999 100000\n26332 39364\n47785 71563\n22978 34351\n86044 100000\n7418 11104\n26561 39703\n87413 100000\n92509 100000\n63429 95145\n3678 5528\n33926 50695\n20305 30367\n51602 77322\n97063 100000\n47546 71205\n9129 13698\n25830 38591\n64718 97067\n92692 100000\n84857 100000\n61593 92396\n72342 100000\n44377 66415\n26061 38945\n93385 100000\n32142 48064\n66417 99648\n61214 91829\n32561 48687\n97453 100000\n30177 45099\n82403 100000\n68666 100000\n7934 11881\n90232 100000\n30027 44880\n34519 51607\n62224 93361\n97649 100000\n7057 10553\n32486 48570\n94484 100000\n92751 100000\n56740 85055\n67024 100000\n36355 54360\n17327 25926\n95178 100000\n86880 100000\n72500 100000\n74810 100000\n69669 100000\n82625 100000\n73142 100000\n81338 100000\n92409 100000\n14407 21577\n60006 90011\n99943 100000\n88035 100000\n77341 100000\n27596 41232\n61950 92938\n88934 100000\n76302 100000\n14050 21041\n93673 100000\n80204 100000\n83847 100000\n44844 67103\n26247 39231\n91132 100000\n57702 86535\n60534 90806\n1115 1704\n76951 100000\n385 580\n88459 100000\n19045 28472\n80524 100000\n30410 45456\n56796 85139\n55384 83028\n83166 100000\n47469 71086\n6637 9930\n82060 100000\n26659 39840\n11401 17094\n80354 100000\n16537 24743\n44923 67225\n98503 100000\n86914 100000\n69533 100000\n10335 15507\n86847 100000\n92238 100000\n6806 10180\n55125 82653\n23819 35623\n37086 55458\n43475 65048\n87204 100000\n91201 100000\n5249 7883\n11631 17437\n61968 92968\n44944 67259\n37517 56098\n52852 79212\n41686 62378\n15630 23410\n75689 100000\n84704 100000\n22106 33041\n55319 82932\n87751 100000\n33372 49884\n42599 63736\n31804 47556\n40892 61200\n86321 100000\n72845 100000\n32789 49024\n69870 100000\n17383 26008\n26142 39069\n97546 100000\n90329 100000\n52917 79307\n66630 99977\n34789 52014\n97585 100000\n11648 17466\n60802 91204\n28325 42332\n80094 100000\n40657 60848\n47548 71209\n36933 55216\n19108 28572\n33382 49900\n70626 100000\n12524 18777\n84731 100000\n46728 69963\n64178 96259\n1256 1910\n14957 22394\n73426 100000\n45813 68572\n73358 100000\n45952 68789\n47577 71253\n37276 55740\n59850 89764\n48385 72455\n59337 88983\n51345 76932\n48397 72471\n40928 61254\n48021 71915\n83860 100000\n99511 100000\n22041 32943\n32857 49122\n57253 85851\n78801 100000\n53367 79984\n83700 100000\n47500 71131\n73202 100000\n85813 100000\n6749 10096\n29389 43900\n19581 29274\n8372 12533\n27511 41102\n423 638\n29985 44816\n13706 20527\n57774 86654\n60881 91325\n1957 2943\n56341 84462\n82455 100000\n89578 100000\n52528 78729\n33840 50568\n69001 100000\n77575 100000\n34471 51530\n20437 30568\n11890 17830\n34066 50914\n77143 100000\n31253 46728\n66871 100000\n71641 100000\n7091 10605\n13615 20399\n61450 92184\n55146 82684\n44119 66028\n9735 14604\n31756 47488\n26753 39980\n44562 66687\n58579 87861\n74835 100000\n55829 83695\n77388 100000\n48333 72378\n33510 50086\n80241 100000\n84506 100000\n36667 54816\n4421 6643\n35049 52395\n99648 100000\n89316 100000\n65403 98101\n41246 61737\n19704 29460\n21464 32089\n30286 45269\n8393 12565\n71785 100000\n91346 100000\n94880 100000\n24832 37107\n58705 88051\n11002 16498\n22335 33376\n40044 59929\n94435 100000\n34189 51100\n66007 99016\n14087 21095\n79329 100000\n28963 43280\n8228 12317\n94948 100000\n22428 33520\n21699 32443\n60353 90532\n5615 8417\n94076 100000\n72591 100000\n10010 15013\n94862 100000\n39402 58968\n6619 9901\n20497 30662\n52660 78927\n17029 25471\n82601 100000\n29250 43703\n23096 34537\n491 742\n76889 100000\n94890 100000\n82537 100000\n41474 62067\n12344 18515\n92696 100000\n61940 92923\n22244 33239\n5784 8661\n13166 19729\n41073 61476\n66310 99483\n41390 61949\n84045 100000\n63004 94509\n47124 70557\n72904 100000\n96002 100000\n15445 23125\n82442 100000\n2758 4158\n95232 100000\n92706 100000\n55528 83238\n27306 40800\n82124 100000\n98906 100000\n30993 46337\n8737 13093\n8958 13433\n3960 5969\n32570 48700\n41631 62297\n42765 63991\n19922 29781\n43592 65232\n7650 11451\n39671 59378\n27947 41758\n63748 95615\n28732 42927\n53935 80845\n82586 100000\n62410 93629\n98915 100000\n33798 50508\n60961 91438\n65915 98873\n84305 100000\n28870 43141\n48960 73323\n72935 100000\n47972 71845\n65583 98370\n43514 65108\n15241 22815\n82579 100000\n54534 81748\n67852 100000\n67783 100000\n67685 100000\n89211 100000\n64798 97183\n4598 6913\n32153 48082\n13163 19723\n14589 21844\n97103 100000\n3576 5378\n82402 100000\n69079 100000\n53936 80846\n28912 43201\n78856 100000\n32325 48341\n94212 100000\n1133 1731\n41255 61749\n61621 92435\n24357 36419\n70547 100000\n83988 100000\n69732 100000\n74818 100000\n81903 100000\n60027 90042\n83144 100000\n73867 100000\n58870 88291\n33179 49606\n71512 100000\n83916 100000\n65604 98407\n91735 100000\n19998 29897\n48622 72819\n38497 57595\n75505 100000\n90604 100000\n11940 17908\n38725 57946\n2678 4037\n60303 90458\n70301 100000\n62770 94153\n29878 44654\n97686 100000\n68031 100000\n89040 100000\n61557 92345\n69474 100000\n11114 16659\n46913 70241\n69694 100000\n59924 89879\n29573 44174\n74683 100000\n53777 80611\n57538 86284\n68068 100000\n47477 71098\n98805 100000\n88729 100000\n84838 100000\n76823 100000\n79226 100000\n81061 100000\n66415 99644\n5635 8445\n64010 96006\n35971 53770\n64879 97307\n29153 43556\n10695 16048\n96191 100000\n32436 48500\n39228 58714\n83151 100000\n84015 100000\n6976 10432\n39922 59752\n78815 100000\n77600 100000\n69731 100000\n44278 66262\n85779 100000\n96432 100000\n44954 67273\n44273 66255\n69805 100000\n67286 100000\n55071 82572\n54803 82164\n3464 5219\n70564 100000\n32682 48865\n5703 8543\n85329 100000\n28691 42869\n60731 91099\n51794 77625\n84600 100000\n7966 11929\n22787 34073\n98055 100000\n92452 100000\n824 1250\n19194 28700\n9834 14754\n17581 26299\n44105 66008\n49603 74321\n34130 51011\n61962 92957\n77260 100000\n81422 100000\n71808 100000\n83792 100000\n95651 100000\n56989 85432\n53457 80122\n59311 88946\n8922 13376\n48625 72822\n79215 100000\n67771 100000\n66128 99204\n39826 59611\n29917 44714\n66683 100000\n61911 92882\n6757 10110\n39225 58709\n82281 100000\n51462 77109\n5675 8503\n95618 100000\n89889 100000\n77113 100000\n72184 100000\n69039 100000\n56174 84213\n22655 33873\n17389 26016\n43846 65617\n60168 90252\n10040 15062\n34155 51051\n27799 41536\n63947 95913\n46765 70018\n39025 58400\n1865 2806\n35582 53189\n19263 28804\n4341 6524\n40409 60479\n93156 100000\n61478 92224\n50537 75717\n91583 100000\n57842 86754\n67410 100000\n90761 100000\n24361 36424\n91372 100000\n82270 100000\n65964 98951\n7944 11898\n90835 100000\n45899 68708\n87453 100000\n4305 6469\n42095 62978\n66042 99072\n11432 17140\n94228 100000\n46301 69314\n51037 76463\n36448 54502\n65916 98875\n1230 1872\n97820 100000\n64080 96108\n80485 100000\n35295 52763\n21716 32467\n53173 79689\n71294 100000\n72375 100000\n2316 3494\n15933 23857\n97980 100000\n76049 100000\n34901 52175\n49556 74246\n68061 100000\n21135 31598\n82667 100000\n21174 31658\n98215 100000\n97993 100000\n78041 100000\n30778 46014\n47623 71314\n28599 42720\n90756 100000\n68043 100000\n82584 100000\n54468 81648\n34848 52096\n82170 100000\n61153 91734\n10281 15431\n64608 96905\n11498 17240\n14736 22063\n36318 54298\n82621 100000\n69238 100000\n20125 30096\n81662 100000\n31722 47442\n1915 2881\n41060 61455\n85078 100000\n38082 56960\n66647 100000\n78748 100000\n60865 91300\n93924 100000\n41270 61769\n77714 100000\n98777 100000\n87980 100000\n42243 63201\n80143 100000\n29708 44395\n97742 100000\n92412 100000\n79640 100000\n26491 39602\n40063 59957\n4237 6375\n66772 100000\n59946 89916\n63041 94562\n24402 36476\n46488 69605\n66361 99555\n17743 26540\n80452 100000\n51009 76420\n35408 52934\n66130 99208\n54927 82350\n32449 48519\n46723 69957\n76422 100000\n12091 18139\n19759 29541\n16658 24918\n40029 59906\n8774 13148\n14428 21612\n9195 13798\n51337 76919\n37347 55845\n24643 36832\n77508 100000\n28093 41977\n4773 7180\n57996 86988\n22959 34323\n6610 9886\n10993 16484\n4501 6764\n31360 46889\n72785 100000\n22021 32914\n76807 100000\n50153 75136\n97746 100000\n7177 10738\n64996 97479\n63825 95726\n56979 85415\n25092 37486\n93909 100000\n24205 36199\n68086 100000\n78219 100000\n47322 70856\n45950 68787\n80858 100000\n82556 100000\n39177 58627\n82857 100000\n57413 86092\n42067 62936\n54362 81491\n78991 100000\n49897 74756\n46870 70177\n63157 94733\n89967 100000\n14677 21969\n36408 54443\n59559 89334\n10239 15366\n92400 100000\n80252 100000\n83829 100000\n70519 100000\n44730 66938\n97132 100000\n2804 4229\n25325 37835\n5503 8249\n27054 40427\n20571 30767\n59795 89685\n1191 1814\n43036 64385\n77521 100000\n53579 80309\n34461 51513\n94135 100000\n53704 80505\n87134 100000\n13710 20533\n98970 100000\n32875 49148\n2255 3400\n16102 24112\n44140 66057\n10090 15139\n67148 100000\n45305 67806\n84504 100000\n72478 100000\n80762 100000\n36953 55246\n28682 42854\n77785 100000\n70362 100000\n21637 32348\n15247 22826\n11914 17866\n83852 100000\n63852 95765\n32717 48916\n45113 67510\n27471 41041\n76432 100000\n19594 29294\n59473 89199\n48036 71936\n13060 19574\n37525 56110\n55792 83640\n29578 44183\n78636 100000\n2339 3528\n37235 55680\n36726 54901\n1403 2125\n79938 100000\n76939 100000\n267 403\n41675 62364\n93046 100000\n35996 53810\n51346 76934\n2882 4343\n22643 33855\n37466 56021\n6605 9878\n54632 81899\n80229 100000\n18164 27178\n1861 2800\n77169 100000\n75127 100000\n44334 66350\n27568 41188\n13559 20319\n89338 100000\n99427 100000\n92463 100000\n92884 100000\n82288 100000\n85448 100000\n19350 28929\n20631 30854\n84083 100000\n41376 61931\n31823 47584\n56660 84939\n12405 18601\n13758 20604\n87837 100000\n62311 93489\n68959 100000\n29045 43400\n71851 100000\n95771 100000\n24698 36909\n85597 100000\n5856 8764\n24141 36105\n7369 11033\n16093 24098\n35021 52354\n25496 38095\n24192 36178\n41121 61548\n99764 100000\n57571 86336\n60999 91492\n73869 100000\n26442 39523\n7385 11055\n54733 82056\n17556 26263\n55344 82970\n89239 100000\n55208 82770\n18895 28265\n8154 12210\n34762 51974\n52173 78189\n53015 79452\n15656 23449\n11579 17359\n59931 89890\n61258 91904\n75454 100000\n87108 100000\n42239 63195\n5520 8276\n21240 31756\n28289 42274\n18097 27082\n64703 97045\n33782 50484\n94411 100000\n91476 100000\n13212 19797\n5758 8624\n20072 30012\n44848 67110\n91167 100000\n8299 12423\n92624 100000\n77806 100000\n17219 25766\n50971 76364\n52015 77954\n50977 76372\n36851 55093\n70908 100000\n45887 68689\n58673 88003\n22517 33657\n19147 28632\n89301 100000\n36161 54064\n62239 93385\n67889 100000\n24220 36221\n62942 94419\n66847 100000\n20783 31075\n29136 43529\n80897 100000\n58552 87824\n95365 100000\n92963 100000\n4879 7337\n78216 100000\n85733 100000\n91153 100000\n91465 100000\n12448 18668\n33604 50232\n47162 70616\n87419 100000\n14066 21063\n40397 60462\n96201 100000\n51027 76448\n72457 100000\n63826 95727\n57099 85605\n82307 100000\n18332 27428\n82917 100000\n24982 37322\n4891 7354\n74488 100000\n79774 100000\n30295 45282\n40929 61256\n1609 2437\n89023 100000\n14701 22009\n61404 92121\n57569 86332\n86821 100000\n417 626\n81348 100000\n14518 21747\n77259 100000\n1463 2215\n89262 100000\n806 1222\n18210 27248\n18235 27286\n8574 12831\n3124 4712\n54259 81337\n2519 3800\n42591 63724\n41997 62825\n46998 70366\n45421 67982\n28538 42630\n81859 100000\n3121 4707\n78481 100000\n11388 17077\n12188 18281\n85193 100000\n69571 100000\n65551 98326\n12216 18325\n5992 8970\n67492 100000\n44072 65955\n15320 22937\n541 821\n62586 93887\n45185 67624\n87505 100000\n46530 69668\n3592 5400\n7026 10507\n64708 97055\n29951 44768\n53172 79688\n4538 6824\n81915 100000\n88156 100000\n18843 28183\n55318 82931\n11392 17081\n98680 100000\n20430 30559\n1056 1615\n21645 32359\n77279 100000\n18514 27703\n52602 78844\n79160 100000\n15107 22616\n11727 17583\n20626 30847\n44768 66994\n82574 100000\n62734 94102\n59407 89095\n29 42\n44965 67287\n50596 75807\n90270 100000\n28595 42714\n45924 68748\n43492 65075\n16790 25112\n45807 68565\n88534 100000\n8753 13116\n7272 10886\n51928 77822\n77556 100000\n30910 46208\n58515 87769\n48728 72975\n47740 71495\n37689 56359\n12233 18350\n69636 100000\n63460 95189\n25531 38144\n15101 22605\n97002 100000\n25168 37600\n380 571\n15189 22738\n5462 8191\n87799 100000\n91607 100000\n87495 100000\n44866 67134\n44911 67205\n86544 100000\n90267 100000\n80408 100000\n51293 76849\n47375 70944\n44858 67125\n72445 100000\n73384 100000\n65139 97698\n27881 41659\n62490 93739\n9267 13905\n76489 100000\n98211 100000\n82345 100000\n63410 95116\n75481 100000\n39357 58908\n45655 68334\n34970 52276\n69480 100000\n14817 22179\n75468 100000\n6504 9721\n38004 56836\n68032 100000\n35519 53098\n2924 4403\n20842 31159\n85056 100000\n77056 100000\n26991 40334\n30900 46192\n16391 24532\n29397 43911\n93384 100000\n39845 59637\n54687 81984\n39829 59615\n55801 83653\n12998 19482\n85509 100000\n55716 83526\n87133 100000\n1956 2942\n75035 100000\n23349 34914\n85302 100000\n3354 5047\n48000 71888\n11447 17166\n13424 20117\n61350 92046\n11811 17708\n96805 100000\n48861 73173\n54655 81937\n8067 12078\n37174 55587\n45457 68037\n567 861\n2203 3324\n77366 100000\n23540 35202\n37637 56277\n87272 100000\n69929 100000\n76688 100000\n17163 25676\n5973 8940\n49178 73662\n13410 20094\n18859 28209\n36127 54016\n94328 100000\n79441 100000\n86775 100000\n11398 17090\n12285 18428\n23260 34782\n70703 100000\n35490 53055\n13754 20598\n25648 38310\n76561 100000\n6051 9059\n51616 77346\n60471 90717\n44566 66694\n60626 90941\n27217 40663\n39174 58623\n62269 93430\n30472 45549\n65712 98569\n331 496\n96461 100000\n817 1241\n95201 100000\n31481 47071\n41537 62159\n13337 19986\n74681 100000\n89392 100000\n60334 90505\n90193 100000\n81076 100000\n27331 40837\n34044 50882\n61978 92981\n72685 100000\n62973 94461\n85093 100000\n40288 60285\n83150 100000\n14571 21821\n61443 92175\n51164 76654\n4406 6623\n35614 53237\n18544 27741\n65369 98050\n81835 100000\n71050 100000\n5742 8603\n22181 33150\n96719 100000\n13546 20299\n61003 91497\n55021 82498\n65459 98189\n58701 88045\n14094 21108\n49715 74484\n96760 100000\n51257 76796\n14886 22288\n31936 47753\n32148 48073\n37647 56292\n9550 14318\n68936 100000\n28176 42107\n32279 48271\n68618 100000\n64604 96900\n55847 83720\n7965 11928\n39209 58682\n10669 16005\n82500 100000\n87937 100000\n33342 49843\n45728 68444\n48032 71930\n34197 51114\n94667 100000\n15452 23134\n98378 100000\n95237 100000\n94806 100000\n39773 59527\n420 632\n70761 100000\n53278 79839\n30648 45811\n38862 58147\n88455 100000\n31871 47655\n25797 38539\n13283 19902\n59083 88599\n92239 100000\n67928 100000\n34926 52215\n60144 90219\n14271 21381\n67853 100000\n43173 64595\n40620 60795\n68272 100000\n12103 18161\n75447 100000\n55815 83673\n5090 7644\n50623 75843\n88775 100000\n96210 100000\n11967 17947\n99228 100000\n87667 100000\n73724 100000\n7774 11637\n34657 51814\n84715 100000\n32424 48481\n41687 62379\n52935 79333\n18877 28239\n82737 100000\n95350 100000\n77352 100000\n50736 76003\n82957 100000\n27265 40736\n46271 69268\n52035 77982\n60570 90857\n88780 100000\n82672 100000\n97918 100000\n21876 32700\n68772 100000\n13883 20791\n85150 100000\n55394 83043\n59989 89986\n30798 46044\n85364 100000\n89900 100000\n49515 74180\n48836 73133\n38317 57319\n50963 76352\n984 1504\n92487 100000\n8641 12939\n57322 85955\n86168 100000\n28913 43202\n8141 12190\n65805 98710\n4846 7289\n25744 38459\n74290 100000\n2413 3643\n49661 74402\n73065 100000\n65926 98893\n11805 17702\n33901 50660\n21339 31898\n39523 59150\n51023 76442\n67082 100000\n86680 100000\n6027 9025\n62062 93111\n82034 100000\n39520 59146\n62804 94209\n745 1136\n95456 100000\n42635 63792\n28876 43150\n67601 100000\n86508 100000\n58495 87738\n98765 100000\n52752 79067\n27381 40910\n25821 38578\n13171 19736\n24999 37348\n46310 69326\n9135 13704\n62233 93375\n9734 14602\n15374 23015\n22487 33610\n94618 100000\n69710 100000\n78889 100000\n5995 8975\n24790 37045\n28450 42506\n23033 34438\n1661 2515\n61037 91554\n11292 16930\n80340 100000\n98969 100000\n26465 39557\n43335 64834\n43865 65646\n70331 100000\n67458 100000\n98699 100000\n91461 100000\n44150 66071\n18938 28328\n53799 80640\n79843 100000\n41369 61921\n89006 100000\n1082 1654\n8339 12483\n4458 6698\n6509 9729\n62654 93981\n10940 16409\n82409 100000\n28676 42843\n93691 100000\n26170 39111\n12436 18649\n95677 100000\n31168 46600\n50257 75294\n47218 70696\n61905 92873\n15781 23632\n75276 100000\n45454 68033\n82101 100000\n99645 100000\n67139 100000\n93932 100000\n62924 94392\n87687 100000\n20878 31207\n56000 83948\n92314 100000\n52804 79145\n16621 24865\n78855 100000\n18266 27332\n77235 100000\n3455 5203\n11974 17959\n83586 100000\n77282 100000\n52039 77988\n12516 18765\n18068 27042\n79372 100000\n61155 91738\n64215 96313\n61360 92059\n13010 19502\n4351 6542\n40058 59950\n56467 84653\n49335 73909\n47055 70447\n5166 7758\n60892 91341\n18389 27517\n17030 25473\n34417 51441\n54720 82036\n29703 44388\n29900 44691\n37125 55513\n74958 100000\n32678 48860\n33293 49769\n61489 92244\n53931 80841\n51633 77369\n19422 29045\n26055 38936\n49350 73932\n81968 100000\n1667 2523\n43986 65828\n1766 2658\n5251 7885\n35903 53668\n29354 43849\n49747 74532\n82330 100000\n99332 100000\n73574 100000\n3445 5187\n58642 87956\n11623 17425\n59679 89512\n69873 100000\n95338 100000\n98357 100000\n82853 100000\n34962 52265\n5192 7800\n90814 100000\n99164 100000\n45167 67594\n60631 90949\n94329 100000\n14787 22133\n17137 25634\n79585 100000\n92852 100000\n6681 9994\n92794 100000\n92322 100000\n98133 100000\n83714 100000\n19234 28758\n75847 100000\n41322 61848\n32971 49293\n93502 100000\n61358 92056\n16938 25335\n57067 85556\n31371 46906\n13217 19804\n85703 100000\n83095 100000\n27716 41406\n23389 34973\n54056 81034\n43816 65572\n86241 100000\n12705 19044\n17751 26553\n56843 85209\n43049 64404\n47453 71064\n28948 43255\n49241 73765\n67841 100000\n42609 63750\n95839 100000\n26285 39293\n43897 65699\n50421 75540\n10807 16211\n36278 54237\n77392 100000\n52426 78575\n13122 19664\n48401 72478\n8863 13284\n66136 99219\n76610 100000\n6227 9319\n96362 100000\n29548 44138\n91707 100000\n43210 64655\n27456 41022\n32114 48023\n97553 100000\n42483 63565\n58604 87900\n42420 63476\n64545 96806\n46868 70175\n72082 100000\n54887 82287\n94986 100000\n16132 24156\n14842 22221\n56944 85367\n15604 23369\n974 1485\n28929 43225\n88199 100000\n70005 100000\n73303 100000\n11960 17938\n3406 5129\n79383 100000\n39526 59154\n95251 100000\n25111 37517\n7308 10938\n71436 100000\n47147 70594\n91877 100000\n38572 57715\n39908 59733\n31641 47322\n2245 3385\n60639 90961\n82845 100000\n82897 100000\n92141 100000\n74162 100000\n80823 100000\n4389 6596\n40776 61030\n73001 100000\n33271 49739\n65638 98462\n38294 57286\n64204 96296\n18199 27230\n27960 41777\n93561 100000\n93580 100000\n545 828\n59437 89145\n27457 41024\n13594 20368\n11197 16788\n25252 37724\n96144 100000\n63759 95631\n84997 100000\n76869 100000\n55932 83850\n58069 87098\n12135 18205\n99604 100000\n15210 22766\n7711 11543\n41428 62002\n73599 100000\n16483 24659\n92172 100000\n69751 100000\n79517 100000\n28210 42162\n52649 78910\n1836 2763\n92859 100000\n81904 100000\n89273 100000\n86248 100000\n64133 96190\n42138 63047\n27578 41203\n59538 89300\n38036 56889\n25940 38757\n9651 14470\n34924 52212\n15113 22624\n14320 21453\n68248 100000\n12748 19111\n77881 100000\n2986 4499\n43031 64378\n83567 100000\n25587 38223\n98580 100000\n99732 100000\n10970 16452\n62292 93462\n34911 52190\n89277 100000\n84085 100000\n50894 76245\n62001 93015\n11187 16770\n86080 100000\n66664 100000\n70933 100000\n27416 40961\n2100 3168\n46012 68880\n55380 83022\n47018 70393\n14840 22217\n35557 53153\n65387 98077\n80278 100000\n11563 17335\n41783 62514\n92079 100000\n50892 76242\n49851 74686\n66354 99546\n92049 100000\n589 896\n89748 100000\n81523 100000\n24442 36535\n47679 71397\n16982 25401\n85298 100000\n80201 100000\n25814 38569\n52790 79126\n9000 13500\n96287 100000\n63397 95096\n37649 56296\n57354 86003\n49188 73679\n11423 17126\n60989 91478\n16825 25160\n3927 5922\n32393 48439\n21534 32197\n45975 68823\n25793 38532\n13568 20331\n65898 98845\n48650 72859\n59150 88703\n93963 100000\n26650 39829\n38706 57919\n30806 46057\n44061 65939\n47792 71573\n94837 100000\n88449 100000\n1499 2271\n21315 31860\n70447 100000\n32252 48231\n75963 100000\n29496 44059\n96226 100000\n32439 48503\n53532 80238\n46649 69846\n41005 61373\n87376 100000\n88461 100000\n54566 81796\n83329 100000\n95299 100000\n21559 32233\n76882 100000\n94129 100000\n58110 87158\n80610 100000\n28013 41857\n69359 100000\n52090 78069\n19580 29273\n78309 100000\n84053 100000\n92800 100000\n79439 100000\n95219 100000\n86586 100000\n13114 19652\n21133 31596\n43955 65783\n5248 7882\n89144 100000\n60163 90245\n57699 86531\n18043 27006\n69603 100000\n94940 100000\n77340 100000\n92658 100000\n34583 51707\n99802 100000\n99599 100000\n69862 100000\n54692 81991\n89945 100000\n428 647\n65466 98199\n64254 96372\n26138 39061\n65050 97564\n41554 62183\n77408 100000\n7743 11591\n67473 100000\n98301 100000\n43520 65119\n19510 29164\n28215 42168\n58174 87245\n19843 29664\n98206 100000\n808 1225\n44314 66318\n66313 99487\n94840 100000\n55936 83855\n17218 25764\n28201 42145\n10064 15100\n44435 66498\n85631 100000\n96865 100000\n87795 100000\n41041 61428\n24654 36849\n15624 23400\n12693 19028\n62673 94010\n62842 94267\n72319 100000\n53326 79918\n72698 100000\n29407 43926\n75328 100000\n46327 69350\n1214 1848\n46216 69185\n34615 51755\n26831 40092\n84936 100000\n60307 90464\n73305 100000\n77519 100000\n18851 28196\n47319 70852\n27830 41584\n62887 94337\n19243 28774\n8775 13150\n97883 100000\n42349 63371\n74419 100000\n35701 53373\n81243 100000\n30323 45324\n28159 42080\n68614 100000\n44604 66757\n83339 100000\n17726 26515\n89827 100000\n83413 100000\n98018 100000\n68596 100000\n78939 100000\n87903 100000\n74911 100000\n4529 6811\n70208 100000\n95961 100000\n47064 70461\n23691 35425\n79015 100000\n9272 13912\n19124 28597\n83895 100000\n14145 21186\n19501 29152\n45378 67916\n22462 33575\n91572 100000\n52455 78620\n31031 46396\n91937 100000\n51521 77199\n38998 58359\n16743 25047\n70520 100000\n222 334\n33198 49632\n78858 100000\n85556 100000\n55778 83622\n73466 100000\n2226 3356\n30438 45499\n94052 100000\n64995 97478\n65793 98692\n22095 33026\n40067 59962\n14852 22238\n51482 77139\n25301 37797\n24083 36018\n43491 65074\n7659 11465\n1042 1593\n75065 100000\n20789 31083\n88221 100000\n27979 41804\n87623 100000\n16882 25254\n83753 100000\n38523 57637\n97920 100000\n356 533\n15980 23927\n65445 98165\n82518 100000\n73122 100000\n99921 100000\n87708 100000\n15007 22463\n84121 100000\n32814 49065\n47026 70404\n67697 100000\n91106 100000\n52269 78343\n21291 31826\n93971 100000\n89455 100000\n16506 24692\n43922 65738\n8678 12997\n75001 100000\n11578 17358\n78611 100000\n46092 68999\n41030 61413\n61283 91945\n87646 100000\n77724 100000\n9492 14237\n74233 100000\n97429 100000\n15004 22459\n34310 51285\n23409 35001\n1175 1795\n88179 100000\n42555 63671\n2049 3088\n23322 34875\n61304 91973\n7911 11844\n64079 96107\n19639 29363\n17577 26293\n63593 95381\n48160 72125\n52618 78868\n78273 100000\n19214 28730\n10578 15873\n97947 100000\n29019 43363\n51226 76747\n17883 26758\n6989 10455\n44565 66692\n86266 100000\n46712 69941\n9941 14910\n80187 100000\n53540 80248\n8916 13364\n30979 46315\n30372 45400\n85463 100000\n57339 85982\n43651 65322\n72897 100000\n80021 100000\n91311 100000\n43931 65752\n63790 95676\n6933 10368\n24175 36151\n23 33\n88898 100000\n13368 20035\n78012 100000\n31697 47410\n38137 57044\n70513 100000\n5663 8486\n5655 8477\n88536 100000\n64831 97235\n99361 100000\n74658 100000\n86125 100000\n14315 21447\n67208 100000\n28181 42114\n26559 39700\n52280 78361\n65177 97758\n2714 4091\n56274 84351\n36268 54221\n91595 100000\n62047 93086\n91598 100000\n8772 13144\n1800 2708\n68276 100000\n69748 100000\n70129 100000\n20055 29984\n25456 38037\n45816 68578\n10511 15770\n99014 100000\n41343 61884\n20562 30755\n37317 55798\n27363 40883\n13267 19879\n4709 7082\n63052 94577\n17281 25857\n64208 96302\n93294 100000\n86261 100000\n1241 1888\n98925 100000\n29712 44402\n85443 100000\n13928 20859\n32078 47970\n38894 58196\n71791 100000\n63441 95162\n33909 50671\n75884 100000\n53754 80579\n18209 27247\n4530 6812\n96591 100000\n12933 19386\n27628 41283\n2781 4196\n86679 100000\n97393 100000\n74154 100000\n38779 58023\n55927 83841\n67687 100000\n14703 22012\n1825 2747\n33022 49370\n84884 100000\n21444 32059\n19879 29721\n61044 91563\n46670 69881\n13854 20750\n77333 100000\n4961 7452\n59999 90000\n92137 100000\n55945 83870\n33108 49502\n62276 93441\n27625 41279\n66226 99352\n71429 100000\n88501 100000\n2151 3243\n63791 95677\n61926 92902\n26768 40000\n22948 34310\n22452 33561\n26338 39374\n64745 97109\n4109 6185\n13301 19932\n90283 100000\n39950 59791\n20614 30828\n16269 24358\n70354 100000\n4146 6244\n74018 100000\n24652 36846\n39160 58600\n1132 1730\n55054 82547\n99945 100000\n11759 17629\n92354 100000\n93661 100000\n79504 100000\n8785 13165\n39095 58500\n44673 66854\n3553 5348\n53696 80494\n72306 100000\n34591 51718\n76733 100000\n54783 82132\n75251 100000\n35855 53596\n73048 100000\n92689 100000\n34474 51536\n54332 81444\n99159 100000\n13539 20288\n21297 31836\n2170 3269\n24664 36862\n90744 100000\n64484 96705\n53053 79511\n5786 8665\n1249 1900\n46819 70102\n5898 8826\n17436 26087\n83609 100000\n37609 56232\n82821 100000\n87364 100000\n30973 46306\n85788 100000\n90108 100000\n28788 43013\n76088 100000\n98909 100000\n25499 38100\n10741 16115\n37004 55327\n9229 13854\n67600 100000\n83390 100000\n15074 22567\n34684 51858\n73229 100000\n92308 100000\n58917 88360\n88689 100000\n27016 40373\n5339 8011\n83271 100000\n14637 21910\n78125 100000\n62185 93303\n94496 100000\n91709 100000\n93848 100000\n31064 46447\n38872 58163\n61135 91705\n48996 73379\n42213 63157\n90091 100000\n67412 100000\n69183 100000\n26568 39715\n58354 87529\n78764 100000\n65802 98705\n22831 34136\n76547 100000\n24521 36646\n89712 100000\n49311 73870\n67829 100000\n96998 100000\n48765 73028\n1550 2347\n28112 42005\n99011 100000\n79465 100000\n75870 100000\n95596 100000\n51878 77747\n75792 100000\n409 616\n21501 32143\n11060 16581\n75875 100000\n77784 100000\n56605 84859\n68778 100000\n75222 100000\n81869 100000\n43260 64726\n26121 39037\n56158 84188\n36565 54671\n99044 100000\n83688 100000\n68030 100000\n34732 51930\n82792 100000\n31066 46450\n45103 67495\n98436 100000\n20492 30654\n85834 100000\n20272 30317\n69466 100000\n84216 100000\n81778 100000\n49039 73444\n30354 45369\n98391 100000\n61671 92512\n11209 16804\n17485 26160\n66974 100000\n83469 100000\n64068 96091\n74432 100000\n17333 25935\n7382 11050\n54987 82446\n78331 100000\n76194 100000\n48942 73296\n38328 57336\n18731 28021\n67053 100000\n85549 100000\n34365 51364\n47041 70427\n28899 43185\n66139 99222\n499 755\n84646 100000\n10323 15491\n16999 25426\n58503 87749\n30930 46240\n68987 100000\n82968 100000\n32268 48253\n92040 100000\n13376 20046\n96212 100000\n70414 100000\n93844 100000\n12476 18705\n97401 100000\n18233 27282\n62114 93194\n29544 44133\n3126 4716\n67122 100000\n70105 100000\n29360 43856\n4738 7126\n48707 72944\n84567 100000\n4489 6747\n41143 61579\n91791 100000\n12880 19310\n57098 85604\n25393 37944\n16892 25268\n73433 100000\n77864 100000\n16666 24930\n70722 100000\n69721 100000\n86730 100000\n73975 100000\n83226 100000\n4190 6308\n51173 76665\n82375 100000\n95945 100000\n87131 100000\n20717 30977\n79982 100000\n80368 100000\n49842 74672\n46113 69027\n7927 11869\n28348 42364\n15924 23842\n39410 58981\n10173 15259\n56177 84218\n53576 80304\n63725 95584\n47745 71502\n47214 70691\n63532 95288\n91389 100000\n67090 100000\n44205 66154\n20009 29912\n25545 38164\n82374 100000\n16182 24229\n2455 3705\n5408 8113\n77447 100000\n30537 45645\n7310 10941\n82147 100000\n40392 60453\n58803 88191\n64975 97445\n38962 58305\n54458 81635\n54459 81636\n52138 78144\n70976 100000\n6325 9470\n61472 92214\n28623 42761\n25625 38278\n58617 87917\n78363 100000\n98405 100000\n30580 45705\n62653 93980\n93954 100000\n78838 100000\n23985 35873\n49161 73635\n69983 100000\n3970 5982\n32916 49214\n87984 100000\n19946 29816\n52873 79242\n46049 68936\n28477 42540\n98908 100000\n14370 21522\n93153 100000\n46801 70075\n25725 38431\n49118 73571\n95965 100000\n89356 100000\n46777 70035\n63259 94887\n67171 100000\n7386 11056\n64471 96684\n44767 66992\n92695 100000\n77066 100000\n17290 25871\n67079 100000\n72139 100000\n19512 29167\n10896 16340\n45087 67471\n56435 84605\n26450 39536\n18690 27960\n28506 42579\n8146 12198\n44869 67137\n69132 100000\n46394 69456\n3926 5921\n77313 100000\n48207 72191\n71432 100000\n21357 31926\n60362 90546\n83479 100000\n47852 71665\n1741 2623\n35294 52761\n4133 6221\n98918 100000\n29157 43562\n36664 54812\n82922 100000\n64766 97140\n25374 37914\n21254 31773\n90059 100000\n4145 6242\n68612 100000\n16570 24789\n86570 100000\n36479 54543\n64971 97440\n76958 100000\n47682 71402\n52221 78261\n75934 100000\n40087 59993\n99290 100000\n7055 10550\n3389 5102\n94969 100000\n4494 6755\n15698 23511\n93914 100000\n90470 100000\n49575 74275\n53184 79705\n29368 43868\n8556 12808\n72033 100000\n24456 36554\n34631 51778\n29187 43606\n80064 100000\n15986 23936\n41107 61526\n79883 100000\n95451 100000\n30200 45139\n71529 100000\n72645 100000\n89858 100000\n19015 28434\n43957 65786\n79425 100000\n43638 65303\n25053 37424\n77088 100000\n50324 75397\n21356 31925\n96657 100000\n61906 92875\n52519 78717\n3814 5739\n40925 61249\n75615 100000\n51628 77362\n18725 28012\n5060 7599\n68828 100000\n20151 30135\n86528 100000\n11244 16858\n98476 100000\n4900 7366\n22905 34248\n30108 45000\n99032 100000\n50370 75466\n30947 46265\n91211 100000\n93895 100000\n66725 100000\n99869 100000\n16760 25068\n21056 31485\n31778 47519\n29586 44196\n42060 62925\n51942 77843\n62630 93948\n33980 50782\n71455 100000\n39028 58404\n23458 35086\n42369 63403\n59262 88867\n56631 84895\n45566 68202\n14509 21732\n98118 100000\n32679 48861\n79021 100000\n90127 100000\n16708 24994\n27414 40958\n94080 100000\n78307 100000\n23944 35811\n63 95\n22982 34357\n47908 71751\n97207 100000\n54246 81316\n87911 100000\n30330 45336\n24850 37133\n40862 61155\n81490 100000\n238 361\n73152 100000\n40785 61042\n53671 80456\n48956 73318\n64537 96794\n93523 100000\n26093 38993\n11829 17733\n80784 100000\n72521 100000\n78282 100000\n40563 60709\n10413 15622\n28175 42106\n72096 100000\n78482 100000\n85570 100000\n4335 6515\n34794 52020\n91207 100000\n98730 100000\n74294 100000\n17143 25644\n69882 100000\n28640 42785\n78136 100000\n13460 20170\n12229 18345\n28509 42582\n5547 8317\n76160 100000\n72117 100000\n12053 18083\n28018 41865\n46399 69464\n58863 88281\n35775 53480\n14347 21490\n76602 100000\n52452 78615\n11985 17976\n9259 13895\n92925 100000\n52404 78542\n70290 100000\n52955 79367\n7533 11284\n43703 65395\n20544 30727\n4762 7162\n14981 22427\n83801 100000\n79064 100000\n99827 100000\n81334 100000\n27479 41052\n36472 54535\n26475 39576\n94847 100000\n21043 31465\n21604 32298\n16809 25140\n36133 54025\n4880 7338\n45395 67942\n92158 100000\n23092 34529\n76349 100000\n70241 100000\n27812 41554\n17769 26582\n85786 100000\n45349 67871\n98797 100000\n32251 48229\n59240 88838\n68558 100000\n42088 62967\n53083 79557\n21106 31558\n39381 58941\n70327 100000\n35499 53070\n17347 25954\n67189 100000\n50494 75655\n55769 83610\n82592 100000\n10500 15755\n22295 33317\n92375 100000\n64506 96743\n95624 100000\n2894 4364\n41083 61490\n23188 34671\n6199 9277\n36043 53879\n4359 6554\n43942 65768\n46692 69911\n74904 100000\n962 1465\n33162 49581\n778 1185\n24472 36577\n68282 100000\n89955 100000\n43351 64860\n28099 41986\n22793 34082\n65290 97933\n44724 66928\n49594 74309\n18948 28342\n82664 100000\n56784 85120\n40260 60244\n35041 52383\n81219 100000\n39107 58519\n2543 3833\n69377 100000\n15401 23056\n45486 68080\n25272 37760\n4139 6230\n83371 100000\n22553 33717\n42130 63031\n80411 100000\n30120 45014\n19838 29655\n7845 11742\n43097 64480\n14459 21660\n8222 12309\n8162 12220\n23231 34739\n60676 91016\n51571 77272\n57563 86323\n97384 100000\n99615 100000\n27040 40407\n53021 79460\n22813 34109\n41262 61757\n10542 15815\n85887 100000\n75925 100000\n82219 100000\n92072 100000\n21576 32259\n34034 50864\n7102 10621\n56641 84910\n16430 24588\n12517 18767\n42093 62974\n11929 17891\n61385 92092\n6891 10305\n61778 92673\n33261 49726\n96513 100000\n69649 100000\n36325 54310\n16037 24015\n89696 100000\n85457 100000\n29195 43618\n50202 75210\n43522 65122\n67944 100000\n56799 85142\n44437 66501\n91092 100000\n89378 100000\n23134 34593\n18978 28386\n46307 69321\n82997 100000\n98433 100000\n60831 91248\n52956 79369\n98907 100000\n46768 70022\n86595 100000\n43847 65618\n94598 100000\n74718 100000\n30865 46142\n62032 93060\n62054 93098\n70335 100000\n20235 30261\n78874 100000\n18027 26981\n56097 84092\n66486 99753\n60592 90891\n67693 100000\n92850 100000\n49551 74238\n82849 100000\n95139 100000\n65748 98626\n84621 100000\n41320 61845\n50722 75981\n27211 40656\n71441 100000\n8980 13467\n35758 53456\n47122 70553\n70401 100000\n86240 100000\n77946 100000\n80287 100000\n61675 92519\n2254 3399\n54788 82139\n93167 100000\n32573 48703\n76922 100000\n55603 83356\n42201 63138\n49318 73880\n60781 91174\n97586 100000\n691 1049\n88827 100000\n90242 100000\n13951 20893\n54389 81529\n48606 72796\n7714 11547\n8181 12247\n66307 99479\n37552 56144\n28648 42799\n36474 54537\n71044 100000\n17358 25971\n76525 100000\n53110 79597\n70304 100000\n54387 81526\n29642 44289\n48251 72261\n39409 58979\n16156 24191\n33013 49356\n69555 100000\n91718 100000\n26590 39743\n95801 100000\n47604 71289\n96448 100000\n6501 9716\n6217 9305\n4934 7415\n53595 80336\n3587 5393\n58510 87762\n85032 100000\n47629 71322\n25595 38236\n34527 51620\n61775 92668\n81785 100000\n94800 100000\n68969 100000\n68543 100000\n33011 49352\n51470 77120\n55129 82658\n97901 100000\n80530 100000\n18661 27913\n76725 100000\n82207 100000\n45522 68135\n12818 19215\n68678 100000\n76427 100000\n21702 32446\n25932 38744\n31270 46753\n7274 10889\n88270 100000\n48950 73309\n20243 30274\n99679 100000\n75764 100000\n50250 75283\n59147 88699\n36924 55200\n78654 100000\n92194 100000\n48332 72376\n97036 100000\n29438 43971\n74041 100000\n84683 100000\n79790 100000\n96165 100000\n54721 82038\n80107 100000\n72742 100000\n77234 100000\n25290 37784\n46771 70027\n5374 8062\n21932 32785\n15410 23071\n88869 100000\n96959 100000\n91592 100000\n91841 100000\n76615 100000\n49214 73722\n86433 100000\n98768 100000\n64547 96808\n45261 67742\n18451 27611\n21798 32590\n44915 67213\n72060 100000\n56033 83996\n23754 35520\n41685 62377\n4901 7368\n1324 2009\n65292 97935\n90450 100000\n70861 100000\n21689 32425\n33635 50270\n6048 9053\n7526 11274\n2215 3342\n79537 100000\n18831 28168\n88174 100000\n29403 43921\n82686 100000\n93442 100000\n17012 25445\n37951 56755\n11506 17254\n17903 26790\n5960 8921\n53821 80671\n36793 55000\n56916 85320\n1160 1774\n46491 69611\n40945 61283\n70337 100000\n96484 100000\n11345 17008\n47342 70888\n36496 54570\n23914 35765\n76325 100000\n45094 67483\n36011 53831\n16428 24585\n42367 63400\n44931 67241\n64502 96736\n62015 93033\n96980 100000\n23867 35693\n73190 100000\n99151 100000\n90611 100000\n51723 77505\n72839 100000\n44017 65873\n99071 100000\n12140 18213\n82868 100000\n62275 93439\n67008 100000\n8767 13136\n1540 2331\n22050 32957\n52754 79069\n33590 50210\n9110 13669\n66006 99014\n62008 93024\n63594 95382\n11718 17571\n95153 100000\n85950 100000\n96634 100000\n95464 100000\n7090 10604\n61187 91789\n74190 100000\n42585 63716\n24684 36889\n40031 59910\n33621 50253\n71414 100000\n81538 100000\n88585 100000\n87730 100000\n20362 30449\n82486 100000\n54292 81382\n14191 21260\n41942 62747\n40296 60299\n13152 19707\n70634 100000\n83726 100000\n66262 99408\n29149 43550\n30750 45975\n72050 100000\n41955 62768\n61627 92445\n92070 100000\n11405 17099\n922 1406\n71081 100000\n90861 100000\n91665 100000\n36844 55083\n61706 92567\n67163 100000\n41599 62251\n14110 21134\n20985 31370\n42479 63559\n77688 100000\n13709 20531\n44657 66830\n85876 100000\n55819 83677\n1708 2578\n52230 78274\n56051 84027\n99784 100000\n88754 100000\n28671 42836\n95289 100000\n77076 100000\n15338 22963\n17636 26386\n88721 100000\n79582 100000\n32136 48056\n85154 100000\n67997 100000\n7603 11382\n83097 100000\n80525 100000\n51791 77619\n20359 30445\n8838 13245\n48592 72774\n11616 17416\n78117 100000\n17495 26175\n59789 89676\n57883 86815\n64032 96039\n93639 100000\n1943 2922\n34702 51885\n3848 5791\n61123 91683\n97136 100000\n65068 97589\n89881 100000\n61788 92687\n5769 8640\n51329 76907\n77885 100000\n83016 100000\n95067 100000\n63635 95448\n35264 52716\n16897 25274\n90504 100000\n63434 95152\n3269 4929\n11210 16806\n43896 65697\n56024 83983\n57462 86172\n50532 75710\n93382 100000\n50082 75027\n13505 20237\n82944 100000\n84971 100000\n35511 53085\n14648 21925\n97564 100000\n81830 100000\n73741 100000\n26893 40184\n62016 93035\n8258 12359\n90015 100000\n94223 100000\n73786 100000\n21266 31790\n70552 100000\n67638 100000\n44553 66675\n94402 100000\n9624 14427\n22327 33365\n23697 35433\n52510 78703\n62930 94401\n70070 100000\n90683 100000\n95838 100000\n93564 100000\n8336 12477\n28826 43073\n20375 30470\n4418 6639\n6355 9514\n36322 54305\n26148 39078\n6828 10216\n19766 29549\n91783 100000\n35937 53725\n95263 100000\n24585 36745\n91345 100000\n49195 73690\n13310 19944\n67513 100000\n37660 56312\n29706 44392\n66000 99005\n83 126\n33042 49400\n51062 76501\n49213 73720\n76607 100000\n66709 100000\n56014 83968\n1034 1581\n83683 100000\n43876 65665\n20597 30803\n92061 100000\n90641 100000\n55790 83637\n48773 73039\n5832 8732\n86550 100000\n863 1316\n97354 100000\n96937 100000\n64174 96254\n66328 99507\n80480 100000\n42709 63905\n43748 65464\n17912 26803\n40700 60911\n44196 66143\n77722 100000\n33866 50607\n63513 95259\n61225 91848\n46281 69283\n93733 100000\n59394 89075\n57627 86423\n69288 100000\n17187 25716\n43733 65443\n69812 100000\n63383 95076\n34119 50994\n21018 31424\n55491 83181\n86819 100000\n33245 49702\n40224 60199\n58649 87966\n7947 11903\n33674 50330\n13018 19513\n51966 77879\n27976 41799\n87066 100000\n42411 63463\n83090 100000\n79505 100000\n92320 100000\n4669 7019\n45767 68505\n25398 37952\n33251 49712\n29287 43754\n50327 75403\n72474 100000\n86344 100000\n12027 18043\n73147 100000\n38290 57279\n19550 29226\n31787 47532\n64557 96825\n15429 23102\n73586 100000\n53269 79827\n86767 100000\n25275 37763\n21230 31740\n47918 71765\n68783 100000\n63662 95489\n8389 12559\n52311 78407\n20895 31233\n39041 58423\n84135 100000\n9390 14082\n39988 59846\n53926 80834\n2071 3121\n75636 100000\n22671 33897\n87387 100000\n75563 100000\n2879 4339\n7956 11915\n12710 19052\n24651 36844\n17246 25804\n62523 93791\n1739 2619\n80968 100000\n87869 100000\n5081 7632\n19653 29383\n50361 75453\n24714 36938\n28547 42643\n34188 51098\n58209 87302\n73825 100000\n46564 69718\n31329 46842\n90286 100000\n33451 50003\n61878 92830\n19499 29150\n25332 37846\n91057 100000\n95078 100000\n21895 32729\n97953 100000\n8499 12726\n5000 7516\n96702 100000\n10429 15648\n39902 59723\n54651 81930\n30710 45909\n86912 100000\n44459 66534\n13625 20413\n78786 100000\n70669 100000\n91484 100000\n2895 4366\n40564 60711\n22049 32956\n13851 20745\n57598 86379\n94056 100000\n67989 100000\n2223 3351\n426 643\n4914 7385\n12756 19122\n33065 49436\n73744 100000\n913 1392\n48462 72568\n729 1109\n51045 76476\n89472 100000\n88277 100000\n7750 11599\n76249 100000\n27408 40950\n36867 55118\n21963 32829\n25922 38730\n8152 12207\n68496 100000\n83969 100000\n16140 24170\n92468 100000\n34891 52160\n7396 11070\n11950 17923\n38754 57991\n15779 23629\n60357 90538\n64153 96220\n81010 100000\n50597 75808\n68943 100000\n21772 32550\n77277 100000\n84413 100000\n79361 100000\n90288 100000\n98999 100000\n65861 98790\n5917 8857\n31956 47782\n66593 99920\n82306 100000\n65633 98452\n92012 100000\n63270 94902\n80497 100000\n47497 71127\n89293 100000\n72615 100000\n6943 10381\n49409 74022\n10206 15310\n38397 57443\n51262 76804\n280 423\n97380 100000\n42984 64312\n8733 13086\n91064 100000\n47282 70795\n73470 100000\n59425 89126\n70288 100000\n40149 60086\n23690 35423\n44891 67171\n45461 68043\n2947 4437\n71928 100000\n20097 30051\n10919 16375\n24988 37331\n8071 12085\n49848 74682\n99603 100000\n1290 1959\n25311 37814\n34535 51634\n80729 100000\n90463 100000\n16338 24457\n61975 92977\n765 1166\n45045 67408\n54882 82280\n51777 77592\n73994 100000\n75007 100000\n59906 89850\n45643 68314\n84301 100000\n35668 53320\n10037 15057\n29690 44368\n59462 89183\n88253 100000\n42026 62872\n71399 100000\n25733 38445\n43599 65246\n25761 38484\n34055 50899\n60448 90678\n96286 100000\n42878 64155\n71036 100000\n39757 59504\n91703 100000\n18795 28117\n25562 38186\n89931 100000\n83521 100000\n6111 9151\n22297 33319\n61600 92406\n65874 98810\n51519 77196\n35983 53789\n96379 100000\n48743 72997\n84063 100000\n5425 8136\n40583 60739\n35882 53637\n39151 58584\n66967 100000\n10914 16368\n97613 100000\n27448 41011\n38106 56996\n12212 18319\n20493 30656\n80590 100000\n43474 65047\n21209 31711\n87848 100000\n38697 57907\n9469 14207\n5441 8158\n29872 44644\n34678 51847\n56924 85335\n3568 5366\n30217 45164\n57352 86001\n8589 12855\n69858 100000\n80595 100000\n62035 93065\n28721 42911\n54537 81753\n76078 100000\n73488 100000\n48444 72540\n15002 22455\n40356 60393\n7508 11248\n13523 20265\n60844 91269\n83982 100000\n29385 43894\n49394 73997\n7440 11136\n40518 60643\n60490 90742\n98093 100000\n83682 100000\n97037 100000\n84770 100000\n96845 100000\n41531 62151\n73604 100000\n20381 30479\n32622 48777\n85633 100000\n10059 15090\n45498 68098\n73694 100000\n19637 29360\n28021 41869\n24573 36726\n49831 74657\n13482 20201\n94391 100000\n27419 40966\n60440 90666\n58437 87653\n51975 77892\n28114 42007\n83123 100000\n48930 73278\n51577 77282\n32741 48951\n89980 100000\n67667 100000\n85398 100000\n82648 100000\n80211 100000\n7578 11347\n5972 8939\n93107 100000\n46123 69042\n80164 100000\n78396 100000\n52129 78131\n15586 23337\n17965 26889\n12121 18187\n92187 100000\n72152 100000\n44037 65903\n93570 100000\n19809 29609\n45076 67454\n90010 100000\n34604 51737\n582 884\n51847 77704\n13680 20488\n14722 22041\n24460 36561\n61939 92922\n30965 46293\n68208 100000\n21320 31868\n8419 12600\n62888 94338\n61549 92333\n92570 100000\n33551 50149\n66957 100000\n10588 15888\n69586 100000\n88620 100000\n20980 31363\n70525 100000\n91989 100000\n72427 100000\n17645 26398\n78680 100000\n6403 9583\n38881 58177\n52854 79215\n97350 100000\n42395 63441\n66205 99325\n48865 73178\n90551 100000\n99543 100000\n65334 97996\n93029 100000\n52622 78874\n8363 12517\n97971 100000\n85683 100000\n74195 100000\n40408 60478\n14512 21735\n20700 30954\n72832 100000\n58043 87054\n69814 100000\n10245 15373\n62735 94103\n33458 50014\n74514 100000\n4924 7402\n1877 2825\n88993 100000\n78191 100000\n99129 100000\n73974 100000\n52665 78934\n13583 20352\n92356 100000\n7559 11320\n37124 55511\n27639 41301\n15361 22996\n68619 100000\n78989 100000\n43909 65718\n41518 62132\n53034 79480\n62166 93273\n10897 16342\n24936 37262\n14863 22256\n47561 71228\n96620 100000\n99037 100000\n40636 60819\n72526 100000\n99641 100000\n36985 55294\n85141 100000\n20162 30153\n60636 90956\n46654 69855\n43268 64737\n8109 12142\n27608 41252\n53872 80748\n53628 80388\n74199 100000\n2236 3371\n63531 95286\n78266 100000\n36131 54021\n84316 100000\n94545 100000\n34890 52159\n93040 100000\n61555 92341\n3211 4843\n49914 74782\n54450 81626\n66340 99523\n11647 17465\n82863 100000\n39497 59112\n52161 78172\n13413 20099\n4707 7079\n74507 100000\n82699 100000\n89314 100000\n41500 62104\n3428 5161\n64373 96547\n69406 100000\n7597 11374\n14298 21423\n55728 83548\n34096 50961\n91335 100000\n75572 100000\n15609 23376\n32195 48148\n99298 100000\n58614 87913\n22190 33165\n16023 23996\n78893 100000\n90528 100000\n28392 42421\n71049 100000\n57483 86198\n39708 59434\n88384 100000\n3545 5335\n58461 87688\n67098 100000\n79536 100000\n84543 100000\n21573 32255\n32322 48336\n17322 25919\n40967 61312\n70849 100000\n34191 51103\n626 953\n11274 16905\n56652 84926\n52638 78896\n98150 100000\n80662 100000\n39091 58494\n32769 48993\n7495 11228\n78398 100000\n25394 37946\n75633 100000\n39570 59224\n73393 100000\n51485 77144\n48557 72715\n9325 13993\n35312 52789\n55248 82832\n60854 91283\n77193 100000\n59238 88836\n81087 100000\n97558 100000\n76055 100000\n65059 97578\n17545 26249\n43081 64457\n68019 100000\n32294 48292\n63177 94765\n25913 38718\n23727 35478\n26445 39528\n97248 100000\n30824 46085\n67753 100000\n84061 100000\n47250 70748\n74139 100000\n16751 25057\n77845 100000\n47442 71049\n47752 71514\n55215 82780\n77084 100000\n62481 93727\n62500 93757\n96774 100000\n76002 100000\n87373 100000\n92420 100000\n13606 20385\n36145 54041\n28054 41918\n7380 11048\n98135 100000\n23887 35723\n2676 4034\n54483 81671\n3193 4816\n86265 100000\n12632 18937\n27385 40917\n48120 72065\n17099 25576\n6540 9778\n78359 100000\n74624 100000\n75406 100000\n23708 35449\n5938 8887\n72467 100000\n60736 91106\n1308 1985\n42240 63197\n89442 100000\n28295 42285\n28673 42840\n8406 12584\n76041 100000\n83983 100000\n98846 100000\n22734 33997\n85587 100000\n27762 41477\n14750 22080\n69840 100000\n60495 90748\n64636 96945\n94522 100000\n94560 100000\n50768 76049\n38280 57264\n35332 52821\n58854 88268\n11977 17963\n54001 80946\n20656 30889\n23954 35824\n87946 100000\n52887 79263\n37757 56462\n39227 58712\n90508 100000\n93151 100000\n8836 13241\n88323 100000\n66993 100000\n73840 100000\n32872 49144\n32352 48378\n23758 35526\n98265 100000\n45954 68791\n64088 96119\n70639 100000\n99179 100000\n24330 36378\n48736 72986\n2028 3054\n37844 56597\n41489 62088\n44857 67123\n77085 100000\n82202 100000\n7204 10782\n33181 49610\n32467 48543\n82164 100000\n638 974\n86452 100000\n59277 88890\n83411 100000\n22392 33464\n62107 93184\n19976 29866\n13863 20763\n80614 100000\n35832 53566\n38579 57726\n35515 53090\n41754 62473\n1823 2743\n94738 100000\n97504 100000\n51083 76535\n4898 7364\n50535 75713\n29509 44077\n78001 100000\n46561 69713\n44709 66905\n88335 100000\n70022 100000\n22670 33895\n31473 47060\n1557 2356\n34805 52036\n80098 100000\n70488 100000\n41848 62609\n76281 100000\n56139 84157\n32551 48672\n45142 67556\n30814 46068\n10238 15364\n97787 100000\n38519 57631\n82791 100000\n43463 65029\n39205 58675\n39232 58721\n64564 96836\n95259 100000\n6874 10281\n25003 37352\n92462 100000\n34771 51988\n95568 100000\n12635 18941\n11298 16941\n1147 1754\n96503 100000\n60065 90095\n22585 33764\n87486 100000\n60198 90299\n49407 74020\n5358 8041\n69829 100000\n39101 58510\n71750 100000\n86905 100000\n51838 77690\n74808 100000\n33678 50335\n98820 100000\n38144 57055\n73115 100000\n29456 43999\n852 1296\n17440 26092\n16759 25067\n8345 12492\n26835 40098\n55767 83608\n74772 100000\n77948 100000\n39624 59305\n14313 21444\n23464 35095\n75010 100000\n43918 65732\n50677 75921\n77303 100000\n6428 9616\n38927 58250\n87701 100000\n22894 34231\n86507 100000\n3838 5776\n51323 76899\n75930 100000\n90736 100000\n42361 63391\n2189 3301\n63491 95230\n2193 3308\n32347 48372\n46844 70143\n99583 100000\n13279 19897\n14008 20983\n67111 100000\n43590 65228\n62126 93212\n63001 94505\n5169 7763\n46458 69559\n60973 91454\n25712 38414\n50152 75135\n28921 43214\n24500 36618\n69987 100000\n80821 100000\n19290 28843\n41071 61473\n23487 35130\n45491 68087\n34879 52140\n66333 99514\n26862 40138\n34016 50837\n53427 80076\n95008 100000\n17014 25448\n79385 100000\n80128 100000\n5518 8274\n93466 100000\n91497 100000\n68370 100000\n43598 65244\n28328 42335\n74901 100000\n16526 24730\n83161 100000\n87890 100000\n82385 100000\n63927 95880\n54391 81533\n14305 21434\n75080 100000\n32415 48469\n10823 16231\n30163 45078\n41427 62001\n39563 59215\n50826 76139\n20548 30733\n66216 99339\n97477 100000\n98444 100000\n6255 9360\n87327 100000\n57649 86455\n43067 64431\n92388 100000\n84369 100000\n84588 100000\n15005 22460\n61317 91993\n57731 86585\n86534 100000\n74858 100000\n53362 79974\n26727 39941\n44586 66729\n87991 100000\n79122 100000\n56679 84965\n55742 83571\n64403 96587\n55780 83624\n93929 100000\n54213 81267\n48057 71967\n64675 97002\n71617 100000\n60103 90155\n19212 28728\n30802 46050\n20418 30538\n71760 100000\n60010 90016\n60270 90408\n62436 93664\n97086 100000\n16493 24672\n63971 95952\n31420 46979\n72605 100000\n27542 41150\n20269 30314\n77821 100000\n1410 2137\n71736 100000\n76999 100000\n55910 83815\n43833 65598\n71560 100000\n49945 74823\n91543 100000\n89104 100000\n12090 18137\n40250 60232\n56896 85292\n89841 100000\n30535 45641\n26759 39988\n5719 8568\n89364 100000\n3138 4733\n80173 100000\n35151 52544\n79339 100000\n78840 100000\n87221 100000\n48845 73145\n85965 100000\n90204 100000\n7025 10506\n40579 60732\n58386 87577\n7459 11167\n21204 31704\n92374 100000\n76362 100000\n71919 100000\n27994 41827\n78013 100000\n625 951\n92326 100000\n86755 100000\n80292 100000\n61206 91818\n11663 17488\n70122 100000\n41589 62236\n59826 89732\n24605 36776\n95835 100000\n54298 81390\n47672 71387\n60340 90514\n32160 48091\n17301 25890\n49012 73401\n46484 69599\n44738 66949\n51916 77803\n8694 13025\n62806 94211\n68062 100000\n43639 65305\n45322 67833\n21132 31595\n74793 100000\n97295 100000\n14862 22254\n61672 92514\n9650 14468\n94225 100000\n73312 100000\n54266 81347\n29747 44455\n64231 96338\n62874 94313\n38512 57619\n76363 100000\n87662 100000\n12316 18473\n35244 52682\n1252 1904\n96145 100000\n75403 100000\n31333 46847\n22366 33424\n77063 100000\n34180 51087\n45301 67801\n44821 67068\n8088 12109\n68880 100000\n35626 53258\n7039 10526\n97483 100000\n88383 100000\n67555 100000\n17188 25718\n9802 14704\n7505 11243\n7443 11142\n10466 15699\n42986 64315\n61567 92361\n14006 20980\n45676 68365\n71732 100000\n52057 78017\n87554 100000\n91948 100000\n78082 100000\n99689 100000\n43770 65500\n65497 98247\n81046 100000\n20915 31262\n853 1298\n45519 68131\n79963 100000\n85286 100000\n59673 89503\n88795 100000\n96724 100000\n93244 100000\n26415 39485\n2942 4430\n49756 74545\n40740 60971\n67599 100000\n48565 72727\n59267 88874\n96451 100000\n10931 16394\n47729 71477\n48049 71956\n49247 73776\n1351 2051\n83899 100000\n34590 51717\n18651 27897\n90661 100000\n24986 37328\n39413 58986\n56181 84223\n73594 100000\n29215 43650\n44632 66799\n61363 92063\n89502 100000\n65342 98010\n30346 45358\n95032 100000\n17802 26628\n34389 51400\n88100 100000\n69594 100000\n6742 10086\n70633 100000\n71164 100000\n92660 100000\n97534 100000\n62462 93701\n18989 28401\n41085 61493\n42920 64220\n45484 68078\n50209 75221\n21208 31710\n20121 30090\n49228 73743\n54964 82407\n5673 8500\n25013 37367\n55455 83133\n81089 100000\n17082 25553\n26209 39174\n45331 67847\n10366 15552\n88621 100000\n59812 89711\n5013 7533\n50330 75408\n19794 29586\n86529 100000\n80906 100000\n48051 71959\n80889 100000\n21474 32102\n56038 84005\n30105 44995\n17739 26534\n56598 84846\n47004 70375\n58210 87304\n93229 100000\n78498 100000\n79844 100000\n19010 28428\n88222 100000\n56225 84279\n75976 100000\n83759 100000\n59780 89661\n71582 100000\n74666 100000\n13007 19497\n67288 100000\n16400 24545\n33265 49731\n57398 86067\n3584 5388\n19801 29596\n13629 20418\n64585 96867\n49218 73729\n59487 89219\n57618 86409\n70489 100000\n15069 22559\n16947 25349\n9299 13953\n91799 100000\n99550 100000\n51395 77011\n23381 34962\n9095 13644\n78602 100000\n97109 100000\n70753 100000\n73749 100000\n47098 70515\n50504 75670\n81554 100000\n73950 100000\n14287 21406\n76328 100000\n57039 85511\n95111 100000\n11555 17322\n6416 9601\n38910 58221\n44156 66079\n4398 6610\n52658 78925\n32728 48931\n70275 100000\n76799 100000\n90060 100000\n74659 100000\n22466 33581\n67102 100000\n72463 100000\n66133 99213\n42954 64269\n67279 100000\n35372 52877\n91546 100000\n36708 54870\n90376 100000\n98182 100000\n88522 100000\n36384 54406\n84093 100000\n53632 80393\n75772 100000\n65608 98414\n63238 94855\n4126 6209\n57169 85720\n67502 100000\n9358 14041\n87935 100000\n74218 100000\n84361 100000\n19181 28679\n52056 78015\n2596 3913\n11139 16694\n37850 56604\n14977 22421\n3944 5947\n70424 100000\n68993 100000\n14390 21551\n27417 40963\n54705 82012\n33605 50233\n66603 99937\n61514 92282\n14550 21792\n74937 100000\n32177 48118\n43109 64499\n53591 80329\n89474 100000\n8971 13453\n20596 30802\n40215 60187\n13927 20858\n42784 64016\n24856 37141\n2602 3924\n69216 100000\n15380 23023\n97079 100000\n69846 100000\n18402 27536\n76960 100000\n81428 100000\n86441 100000\n72081 100000\n62669 94003\n91412 100000\n8700 13033\n62382 93595\n28600 42721\n78923 100000\n26723 39936\n68677 100000\n90587 100000\n34369 51369\n48914 73250\n38558 57692\n12488 18723\n31815 47573\n97184 100000\n60079 90118\n33757 50447\n5385 8079\n64291 96423\n68693 100000\n95779 100000\n47636 71335\n62301 93475\n89859 100000\n39858 59658\n66597 99928\n4177 6287\n71193 100000\n82889 100000\n86610 100000\n96899 100000\n50112 75073\n50498 75661\n50776 76061\n2393 3612\n83785 100000\n92923 100000\n35687 53353\n21044 31466\n2505 3778\n15842 23718\n15251 22833\n70409 100000\n22141 33092\n39424 59002\n36767 54958\n18761 28064\n15154 22683\n18473 27640\n57318 85950\n42230 63182\n44258 66232\n65782 98677\n94071 100000\n57173 85726\n92857 100000\n45869 68663\n45668 68353\n81287 100000\n8933 13395\n47084 70492\n9279 13922\n57437 86130\n85812 100000\n9622 14423\n99181 100000\n90554 100000\n91997 100000\n87944 100000\n20183 30181\n87360 100000\n17881 26755\n84874 100000\n95396 100000\n394 593\n91678 100000\n23824 35629\n11046 16562\n67925 100000\n26617 39784\n99934 100000\n55738 83563\n36061 53911\n33641 50279\n25571 38199\n39864 59667\n26533 39661\n17245 25802\n3111 4692\n78080 100000\n87428 100000\n94150 100000\n65362 98038\n74228 100000\n37805 56535\n56440 84612\n73992 100000\n19622 29334\n65511 98267\n54065 81047\n73004 100000\n50201 75208\n84529 100000\n11485 17223\n26091 38989\n1075 1643\n33201 49637\n80992 100000\n67336 100000\n60600 90900\n25154 37577\n60867 91303\n80578 100000\n20312 30376\n54451 81627\n80237 100000\n30941 46256\n97843 100000\n60553 90833\n80318 100000\n74076 100000\n90246 100000\n94315 100000\n90692 100000\n79874 100000\n26086 38982\n65325 97981\n61186 91787\n52497 78682\n80295 100000\n54042 81013\n88647 100000\n17162 25674\n32353 48380\n41790 62524\n598 911\n87836 100000\n17996 26937\n42936 64242\n17619 26359\n7864 11772\n11329 16986\n77147 100000\n70298 100000\n50420 75538\n20471 30621\n99426 100000\n40410 60480\n56129 84142\n41813 62558\n70825 100000\n38297 57292\n10211 15319\n81418 100000\n75746 100000\n10498 15752\n21413 32006\n98608 100000\n57780 86662\n56408 84566\n65230 97843\n61765 92654\n96051 100000\n43461 65027\n79002 100000\n52921 79314\n15550 23283\n30427 45482\n86418 100000\n46028 68905\n5974 8941\n17771 26585\n75844 100000\n96690 100000\n98361 100000\n1370 2080\n97480 100000\n60264 90400\n4002 6034\n49511 74174\n57590 86365\n1572 2381\n87470 100000\n72733 100000\n5671 8498\n19229 28752\n20321 30389\n5890 8815\n14819 22183\n73325 100000\n51788 77613\n12171 18252\n75834 100000\n7500 11235\n10847 16264\n65829 98744\n29165 43574\n94934 100000\n38155 57072\n94441 100000\n50337 75418\n46408 69478\n74875 100000\n62671 94007\n63431 95148\n51273 76819\n10015 15022\n7746 11594\n46937 70274\n70245 100000\n30243 45201\n86074 100000\n54020 80977\n37398 55920\n7598 11375\n24831 37105\n12148 18221\n32687 48871\n17696 26471\n104 160\n6025 9023\n34737 51936\n38428 57490\n83959 100000\n39736 59476\n58521 87780\n59536 89296\n34292 51255\n66810 100000\n37763 56470\n52046 77999\n13417 20106\n52781 79111\n92536 100000\n62599 93907\n53643 80413\n31265 46747\n58423 87634\n29966 44788\n11256 16877\n12761 19131\n45592 68239\n4498 6761\n97352 100000\n50395 75501\n89572 100000\n9619 14419\n77291 100000\n48862 73174\n48649 72857\n8245 12341\n96005 100000\n7958 11918\n21142 31607\n92490 100000\n80277 100000\n46908 70235\n40832 61111\n73389 100000\n29749 44457\n63047 94571\n87237 100000\n10410 15619\n74765 100000\n51327 76904\n19876 29715\n86982 100000\n67029 100000\n69919 100000\n4417 6638\n17575 26290\n78625 100000\n46282 69284\n30526 45629\n50139 75113\n94978 100000\n75138 100000\n18052 27017\n30460 45534\n45572 68210\n16793 25116\n88842 100000\n20836 31150\n6820 10202\n66208 99330\n60703 91057\n44819 67065\n29237 43683\n88956 100000\n54869 82261\n64297 96431\n47765 71535\n43105 64493\n14605 21867\n47096 70512\n79094 100000\n11711 17561\n8242 12337\n14948 22380\n79411 100000\n89765 100000\n37388 55903\n55191 82749\n56563 84794\n39514 59139\n73678 100000\n74210 100000\n68182 100000\n84989 100000\n37687 56356\n19724 29488\n284 427\n46991 70352\n97397 100000\n86647 100000\n62623 93940\n67758 100000\n92702 100000\n94022 100000\n32484 48567\n48148 72109\n43283 64762\n26476 39578\n52944 79348\n57104 85611\n95551 100000\n20192 30193\n29744 44451\n29828 44575\n15620 23393\n5620 8424\n23438 35050\n20443 30578\n80961 100000\n10953 16426\n74927 100000\n75334 100000\n79169 100000\n61465 92203\n23814 35613\n4763 7164\n28048 41910\n68538 100000\n55245 82826\n73360 100000\n67943 100000\n29775 44498\n20216 30230\n8000 11977\n65744 98620\n89505 100000\n90184 100000\n95212 100000\n36416 54456\n7337 10984\n61670 92510\n36492 54564\n59699 89540\n78427 100000\n63419 95131\n41447 62030\n21469 32095\n29108 43489\n57847 86762\n21185 31673\n56856 85231\n68761 100000\n55163 82709\n59420 89117\n37161 55570\n46630 69817\n8028 12019\n34115 50989\n81446 100000\n81346 100000\n42392 63437\n66510 99789\n29409 43928\n19500 29151\n88692 100000\n19631 29348\n36553 54656\n21407 31998\n34239 51177\n93520 100000\n34497 51572\n43856 65631\n89488 100000\n3318 4995\n8843 13254\n21162 31639\n40141 60073\n56805 85151\n98719 100000\n1205 1835\n48367 72429\n95341 100000\n92065 100000\n43274 64747\n79182 100000\n77604 100000\n58222 87320\n97795 100000\n65976 98968\n20460 30603\n62633 93954\n37677 56341\n39935 59770\n16543 24751\n52076 78046\n16851 25204\n21205 31705\n58224 87323\n31619 47284\n45588 68235\n87092 100000\n10089 15137\n4554 6848\n53432 80084\n24835 37111\n68458 100000\n82766 100000\n63243 94863\n75754 100000\n59149 88701\n83736 100000\n84461 100000\n5831 8730\n43100 64485\n84491 100000\n59411 89102\n11824 17725\n52825 79175\n70490 100000\n49541 74222\n5914 8852\n415 624\n55533 83245\n80718 100000\n24278 36304\n88170 100000\n89086 100000\n41871 62643\n6700 10024\n93798 100000\n93135 100000\n20487 30645\n45028 67383\n45571 68209\n4989 7497\n95831 100000\n84528 100000\n99062 100000\n11467 17196\n72808 100000\n54536 81751\n45557 68187\n29895 44683\n68682 100000\n91202 100000\n73922 100000\n86003 100000\n57300 85925\n39154 58590\n59080 88595\n70359 100000\n40545 60682\n4393 6601\n75990 100000\n57536 86281\n71721 100000\n91554 100000\n76102 100000\n47625 71317\n37580 56190\n47496 71125\n97598 100000\n13825 20706\n70940 100000\n35300 52771\n80151 100000\n90153 100000\n98554 100000\n7755 11608\n95351 100000\n66640 99991\n67643 100000\n41839 62594\n48259 72271\n74632 100000\n90140 100000\n41608 62263\n34595 51723\n41469 62060\n4520 6795\n76625 100000\n8827 13229\n75271 100000\n429 648\n30982 46321\n54843 82220\n18944 28336\n74493 100000\n20401 30512\n37804 56534\n48283 72305\n26673 39861\n66281 99440\n93412 100000\n35411 52938\n26904 40202\n53782 80618\n45555 68184\n7351 11004\n85091 100000\n63533 95290\n49869 74717\n71984 100000\n82811 100000\n99925 100000\n95402 100000\n52107 78095\n24150 36118\n82608 100000\n65098 97634\n89678 100000\n3202 4830\n76054 100000\n37785 56506\n81725 100000\n58569 87850\n71385 100000\n61176 91773\n5827 8724\n31738 47463\n28025 41876\n51892 77767\n58296 87437\n34849 52098\n40315 60329\n88739 100000\n77668 100000\n22699 33939\n39105 58516\n81901 100000\n93057 100000\n60780 91172\n64539 96797\n54388 81528\n48744 72999\n64565 96837\n95274 100000\n66499 99770\n30564 45683\n57928 86885\n71019 100000\n5726 8579\n32403 48453\n7756 11609\n48906 73240\n34259 51208\n68279 100000\n45577 68218\n66550 99854\n65843 98766\n18009 26957\n88581 100000\n63889 95824\n77486 100000\n60645 90970\n63406 95110\n86753 100000\n16170 24213\n52761 79082\n1073 1641\n18326 27417\n83617 100000\n44222 66178\n86840 100000\n50983 76381\n11880 17813\n2041 3074\n20253 30291\n132 198\n21922 32770\n57869 86795\n78018 100000\n53225 79765\n99941 100000\n20184 30182\n73555 100000\n76575 100000\n43334 64833\n83568 100000\n53852 80717\n68173 100000\n31070 46457\n51960 77872\n7980 11950\n68958 100000\n19332 28903\n28345 42360\n83426 100000\n71572 100000\n11072 16599\n53691 80487\n46927 70260\n92993 100000\n26328 39358\n49135 73597\n300 451\n96699 100000\n46982 70338\n69049 100000\n69335 100000\n10508 15765\n36367 54380\n36076 53936\n95296 100000\n65324 97980\n99431 100000\n61286 91948\n56982 85421\n52318 78416\n73961 100000\n65565 98346\n87151 100000\n27818 41562\n5362 8046\n30466 45541\n32191 48140\n1456 2204\n97625 100000\n8998 13497\n94877 100000\n32683 48866\n85843 100000\n1706 2574\n98916 100000\n48152 72115\n38177 57104\n53166 79678\n56362 84495\n56833 85191\n53503 80194\n13418 20108\n66427 99665\n52547 78762\n26226 39198\n47208 70683\n76884 100000\n63236 94851\n73969 100000\n85902 100000\n93375 100000\n790 1199\n12627 18931\n76989 100000\n11768 17646\n8235 12327\n60076 90113\n86786 100000\n21442 32056\n2232 3365\n36284 54245\n77194 100000\n39683 59394\n2728 4112\n73452 100000\n55758 83592\n8008 11986\n19335 28908\n65402 98100\n98320 100000\n94181 100000\n83790 100000\n91839 100000\n95337 100000\n14941 22369\n87234 100000\n90224 100000\n53125 79621\n73324 100000\n39601 59268\n5274 7915\n92975 100000\n8249 12346\n34048 50888\n49587 74296\n88532 100000\n8841 13251\n60506 90762\n26979 40317\n6903 10323\n22825 34126\n67635 100000\n87849 100000\n87458 100000\n3368 5067\n62338 93531\n70254 100000\n57704 86538\n14246 21343\n9494 14240\n72921 100000\n79069 100000\n39081 58481\n69867 100000\n43685 65371\n68696 100000\n83434 100000\n92594 100000\n26531 39658\n69363 100000\n52150 78160\n75223 100000\n72194 100000\n84960 100000\n18746 28042\n91230 100000\n56546 84772\n8311 12440\n41354 61900\n47128 70564\n86665 100000\n31160 46591\n32577 48709\n67945 100000\n74575 100000\n55765 83604\n23127 34584\n17850 26706\n37279 55745\n25741 38455\n92613 100000\n71528 100000\n36217 54146\n49117 73569\n72879 100000\n33038 49394\n75883 100000\n38513 57621\n2949 4441\n39119 58537\n63835 95742\n65949 98925\n45188 67627\n89183 100000\n2572 3878\n53133 79632\n45327 67842\n6467 9667\n67350 100000\n45886 68688\n39611 59284\n29207 43636\n88399 100000\n56655 84930\n47080 70485\n20553 30741\n40991 61351\n11376 17058\n31891 47687\n70282 100000\n30407 45451\n8409 12588\n3398 5116\n60557 90840\n27377 40903\n8594 12863\n50190 75190\n51341 76925\n10141 15211\n99673 100000\n43902 65706\n75612 100000\n69174 100000\n90749 100000\n79913 100000\n14018 20995\n44681 66866\n35495 53063\n88303 100000\n84200 100000\n27765 41482\n22944 34303\n18004 26949\n3081 4648\n17797 26621\n75622 100000\n40838 61118\n37511 56089\n46905 70231\n96716 100000\n27794 41528\n2614 3944\n23380 34960\n59146 88697\n44507 66610\n61931 92910\n33324 49818\n86212 100000\n3130 4721\n91819 100000\n976 1489\n35530 53114\n48830 73125\n95398 100000\n76215 100000\n85910 100000\n5524 8282\n55786 83633\n43447 65008\n3797 5712\n94001 100000\n54744 82073\n92019 100000\n5229 7853\n94467 100000\n5365 8050\n80688 100000\n40918 61238\n9639 14452\n95312 100000\n47606 71291\n70609 100000\n80059 100000\n78754 100000\n62220 93356\n23191 34676\n33714 50387\n44041 65908\n81902 100000\n19768 29552\n55552 83275\n62851 94280\n26892 40183\n28755 42961\n61038 91555\n46340 69372\n46272 69269\n53673 80459\n91475 100000\n13971 20926\n5135 7708\n33686 50347\n23385 34968\n3842 5781\n63453 95179\n70677 100000\n92331 100000\n19295 28850\n81627 100000\n70503 100000\n85453 100000\n39575 59232\n36723 54898\n68204 100000\n96342 100000\n94133 100000\n94567 100000\n34328 51310\n88161 100000\n83802 100000\n48368 72430\n95910 100000\n55982 83924\n85581 100000\n28706 42893\n75729 100000\n39360 58912\n85690 100000\n10806 16210\n24347 36404\n87249 100000\n21602 32295\n69672 100000\n64156 96223\n84041 100000\n35743 53434\n78566 100000\n38408 57459\n25824 38583\n50839 76160\n43751 65470\n97275 100000\n98310 100000\n52894 79272\n16494 24673\n34587 51713\n43649 65320\n93490 100000\n58938 88391\n32592 48734\n40015 59884\n57419 86101\n37328 55816\n3099 4673\n98222 100000\n16155 24189\n95042 100000\n36528 54619\n32588 48727\n96636 100000\n43869 65654\n61866 92810\n66645 99999\n29260 43717\n72047 100000\n99398 100000\n97743 100000\n15752 23590\n14967 22408\n37447 55993\n63164 94743\n54954 82393\n90357 100000\n11395 17085\n82713 100000\n88886 100000\n67067 100000\n76506 100000\n40533 60665\n15612 23380\n45258 67737\n28160 42082\n41061 61456\n42789 64022\n24547 36687\n36940 55227\n888 1356\n59824 89730\n2562 3859\n48751 73009\n25030 37391\n50964 76354\n96469 100000\n87320 100000\n90940 100000\n96371 100000\n71292 100000\n19191 28695\n38331 57339\n75971 100000\n64312 96456\n42432 63493\n30304 45297\n14747 22077\n61325 92008\n64481 96701\n55868 83748\n92866 100000\n19744 29517\n75720 100000\n45649 68324\n15865 23755\n37824 56569\n24537 36671\n44321 66331\n52680 78960\n2661 4010\n5026 7552\n31945 47766\n33066 49438\n91451 100000\n58795 88179\n49272 73815\n79317 100000\n43785 65523\n83207 100000\n23806 35600\n61546 92329\n53379 80003\n4201 6325\n51194 76697\n47702 71434\n11998 17996\n80618 100000\n86154 100000\n21265 31788\n49913 74780\n54992 82454\n8601 12874\n2482 3746\n62809 94214\n33302 49784\n12408 18606\n40723 60943\n18509 27694\n31444 47016\n40906 61221\n93458 100000\n17529 26223\n3520 5299\n6039 9040\n10298 15456\n60808 91215\n28101 41989\n33191 49623\n38287 57274\n30780 46017\n14142 21180\n87295 100000\n77912 100000\n67328 100000\n69743 100000\n66454 99703\n68152 100000\n15658 23453\n89485 100000\n80580 100000\n80604 100000\n95224 100000\n76342 100000\n46471 69579\n57771 86649\n43034 64383\n9959 14937\n78937 100000\n11228 16831\n69053 100000\n85238 100000\n97536 100000\n6184 9256\n10104 15159\n85666 100000\n76473 100000\n36847 55088\n7230 10822\n39856 59655\n98037 100000\n18988 28400\n87885 100000\n26037 38909\n84459 100000\n70956 100000\n55254 82841\n61217 91834\n98190 100000\n28583 42694\n78212 100000\n7050 10543\n94012 100000\n25070 37454\n43144 64552\n61143 91717\n4739 7127\n304 457\n12866 19290\n68773 100000\n23269 34795\n32747 48962\n37935 56733\n87529 100000\n75822 100000\n52386 78517\n97434 100000\n24682 36885\n23348 34913\n19756 29536\n97251 100000\n32317 48327\n69665 100000\n34132 51014\n68898 100000\n72046 100000\n19206 28720\n58271 87396\n29865 44633\n20821 31129\n61171 91766\n58053 87071\n58096 87137\n57122 85640\n937 1431\n57327 85963\n46669 69880\n91820 100000\n42539 63643\n80332 100000\n49331 73903\n34788 52013\n86043 100000\n55367 83004\n52244 78301\n41971 62789\n68017 100000\n26215 39183\n43622 65280\n647 987\n19451 29087\n92902 100000\n32130 48048\n55630 83396\n50107 75066\n32565 48693\n49672 74419\n28565 42668\n95954 100000\n51676 77432\n88541 100000\n85001 100000\n26366 39413\n53063 79524\n21850 32666\n84264 100000\n58244 87356\n67571 100000\n74350 100000\n81318 100000\n9747 14623\n4790 7210\n82457 100000\n202 306\n41718 62420\n77971 100000\n56909 85310\n31571 47207\n5498 8241\n88250 100000\n59155 88710\n4380 6582\n15321 22939\n85702 100000\n42865 64133\n66617 99956\n63304 94957\n66408 99635\n36852 55095\n6326 9472\n17635 26385\n92542 100000\n81198 100000\n3015 4544\n22533 33684\n23909 35756\n37588 56202\n12289 18433\n36122 54007\n42800 64037\n4765 7168\n80647 100000\n16491 24670\n94106 100000\n7922 11861\n59844 89754\n85391 100000\n65210 97811\n39334 58878\n3765 5659\n87258 100000\n49433 74059\n76668 100000\n34745 51949\n68004 100000\n91024 100000\n47661 71370\n88360 100000\n40443 60527\n27478 41050\n20801 31100\n46736 69974\n49189 73680\n9503 14253\n29795 44526\n4357 6550\n96740 100000\n86700 100000\n28645 42793\n24302 36337\n82085 100000\n25480 38070\n14930 22355\n80950 100000\n98555 100000\n69906 100000\n18907 28282\n77351 100000\n63448 95172\n38309 57308\n97379 100000\n94873 100000\n72190 100000\n88113 100000\n75393 100000\n18870 28227\n65668 98502\n85305 100000\n95641 100000\n29858 44623\n18366 27481\n15723 23549\n2187 3298\n22556 33721\n83043 100000\n48872 73188\n53153 79661\n1612 2442\n33533 50121\n83136 100000\n9008 13514\n83828 100000\n11397 17089\n85303 100000\n5355 8036\n5631 8439\n11351 17017\n5900 8830\n96735 100000\n56198 84246\n39386 58947\n28772 42987\n73451 100000\n13388 20064\n17078 25548\n42350 63373\n1407 2133\n78977 100000\n92606 100000\n49790 74597\n71684 100000\n59037 88529\n82120 100000\n77619 100000\n73078 100000\n16265 24352\n92384 100000\n18114 27109\n83821 100000\n15918 23833\n99577 100000\n7982 11952\n50481 75635\n48843 73141\n19171 28666\n23462 35093\n15106 22614\n17991 26929\n9156 13736\n89283 100000\n38610 57774\n87091 100000\n93036 100000\n21799 32591\n65755 98635\n5208 7822\n54815 82181\n20538 30720\n60947 91418\n89232 100000\n56842 85207\n92329 100000\n28245 42212\n63239 94857\n32174 48114\n28420 42462\n88560 100000\n98789 100000\n65166 97742\n40099 60011\n21593 32282\n24414 36494\n16807 25138\n16637 24886\n14197 21267\n29437 43969\n83137 100000\n87664 100000\n52904 79287\n56760 85084\n45665 68349\n50406 75518\n67648 100000\n53804 80647\n89868 100000\n15086 22582\n58356 87531\n85392 100000\n12239 18361\n8886 13318\n74275 100000\n41860 62628\n21847 32661\n41817 62564\n42669 63846\n17975 26902\n64542 96802\n21461 32085\n96749 100000\n15999 23958\n3626 5447\n86902 100000\n63875 95802\n79336 100000\n73794 100000\n41968 62784\n43301 64789\n3054 4603\n74222 100000\n68495 100000\n32617 48769\n76806 100000\n31421 46981\n15205 22760\n58815 88210\n3497 5267\n25134 37550\n82014 100000\n35573 53177\n97124 100000\n9377 14065\n29615 44241\n20429 30557\n76762 100000\n54710 82020\n3638 5465\n21596 32285\n98984 100000\n52225 78267\n85975 100000\n64632 96941\n98636 100000\n7949 11906\n39839 59629\n49579 74283\n20575 30774\n54128 81142\n35514 53089\n63757 95629\n42553 63668\n94722 100000\n79209 100000\n3649 5482\n41932 62734\n88153 100000\n60579 90873\n79600 100000\n82443 100000\n52626 78878\n73625 100000\n34363 51361\n42176 63105\n84836 100000\n1530 2318\n65323 97978\n95390 100000\n10972 16455\n69502 100000\n50717 75974\n1094 1673\n31240 46708\n43540 65147\n85102 100000\n36263 54212\n1886 2840\n11307 16952\n24942 37269\n82618 100000\n80438 100000\n48985 73360\n75207 100000\n1157 1769\n53073 79540\n54329 81438\n59160 88718\n48714 72954\n84329 100000\n82916 100000\n60513 90773\n58014 87016\n70261 100000\n34104 50973\n5980 8949\n15182 22729\n327 489\n42426 63484\n85964 100000\n96249 100000\n39442 59032\n40562 60708\n88428 100000\n28482 42547\n79832 100000\n15250 22831\n54904 82315\n70647 100000\n32018 47879\n67444 100000\n39400 58964\n61267 91918\n87466 100000\n24868 37159\n40247 60228\n14641 21916\n4499 6762\n3580 5382\n37694 56366\n47402 70988\n48056 71965\n60090 90134\n2198 3315\n49605 74324\n41426 61999\n47258 70761\n8219 12303\n31041 46412\n32669 48847\n4889 7350\n6850 10247\n2375 3587\n85978 100000\n47739 71493\n55987 83929\n25039 37403\n55730 83551\n30192 45125\n99832 100000\n12056 18087\n59810 89707\n43969 65801\n2003 3013\n49533 74211\n52117 78112\n86675 100000\n33400 49926\n50937 76312\n57941 86904\n80675 100000\n88111 100000\n97123 100000\n55490 83180\n57377 86036\n50323 75395\n22607 33798\n84476 100000\n74179 100000\n25897 38693\n3538 5326\n77184 100000\n95466 100000\n77439 100000\n25129 37540\n27576 41200\n30632 45787\n85380 100000\n94754 100000\n39018 58391\n55702 83506\n64157 96225\n2136 3221\n69464 100000\n39385 58946\n84755 100000\n29273 43735\n94416 100000\n27339 40847\n81183 100000\n26703 39904\n93887 100000\n14395 21559\n67231 100000\n28286 42270\n44917 67216\n63818 95716\n74056 100000\n70986 100000\n20681 30925\n73629 100000\n23622 35322\n6860 10262\n51582 77291\n96598 100000\n38286 57272\n19089 28541\n52648 78909\n64917 97364\n4096 6167\n24014 35916\n33246 49703\n37017 55345\n78025 100000\n53314 79900\n43392 64924\n57164 85712\n12703 19042\n44512 66617\n66561 99871\n34487 51555\n19047 28476\n8292 12413\n11206 16800\n18304 27387\n94841 100000\n17943 26855\n15822 23687\n26551 39688\n31345 46864\n36058 53905\n52535 78743\n49704 74468\n21038 31456\n97390 100000\n81615 100000\n41750 62467\n94365 100000\n38236 57199\n54769 82111\n22005 32891\n9990 14982\n44113 66019\n32912 49208\n75915 100000\n50589 75799\n40771 61021\n746 1137\n17155 25663\n6802 10174\n60788 91184\n52579 78812\n2251 3394\n26704 39906\n84412 100000\n61423 92147\n80660 100000\n60251 90382\n72180 100000\n66204 99324\n10890 16329\n257 388\n3388 5101\n83552 100000\n82804 100000\n53571 80297\n71016 100000\n53366 79982\n51845 77701\n50357 75449\n91394 100000\n6215 9301\n63829 95732\n22304 33331\n480 725\n20195 30196\n15098 22600\n23973 35854\n68015 100000\n49531 74208\n30768 46001\n76839 100000\n98446 100000\n80206 100000\n26356 39399\n60455 90688\n40418 60491\n46299 69311\n8298 12422\n49067 73487\n84533 100000\n33190 49622\n99255 100000\n28092 41976\n30258 45225\n59440 89149\n56836 85196\n73892 100000\n91750 100000\n93700 100000\n14372 21525\n67874 100000\n82228 100000\n15019 22483\n81885 100000\n80537 100000\n66997 100000\n97494 100000\n94154 100000\n41568 62203\n97921 100000\n85674 100000\n42065 62934\n53877 80757\n79158 100000\n32491 48578\n23195 34682\n67579 100000\n85409 100000\n70670 100000\n65106 97646\n61742 92619\n94451 100000\n658 1006\n40056 59946\n41905 62695\n24798 37060\n31480 47069\n54029 80992\n16144 24176\n4148 6248\n82709 100000\n2490 3756\n37523 56107\n78569 100000\n60863 91297\n99586 100000\n37454 56003\n27395 40932\n88500 100000\n75514 100000\n11236 16846\n5517 8272\n56685 84973\n51437 77074\n77544 100000\n8129 12172\n2508 3781\n37513 56092\n4064 6120\n11000 16494\n19027 28447\n49564 74260\n52818 79166\n21273 31800\n53224 79763\n44542 66659\n69045 100000\n27894 41679\n47522 71169\n94542 100000\n84377 100000\n1926 2897\n81486 100000\n62451 93685\n43778 65511\n85121 100000\n30671 45847\n53811 80656\n13008 19499\n8853 13270\n22340 33383\n56585 84824\n88344 100000\n72886 100000\n28046 41906\n24779 37029\n37293 55763\n48369 72431\n53565 80290\n37214 55650\n21801 32594\n97757 100000\n44157 66081\n50823 76136\n88126 100000\n55199 82760\n97265 100000\n97128 100000\n45799 68553\n85427 100000\n55631 83398\n91037 100000\n50060 74993\n73352 100000\n90741 100000\n72364 100000\n38404 57453\n15768 23613\n44798 67035\n85202 100000\n75666 100000\n67897 100000\n49109 73554\n40963 61306\n1419 2152\n51612 77340\n16036 24014\n37602 56221\n1840 2768\n25758 38479\n47720 71461\n525 798\n67170 100000\n99996 100000\n59264 88870\n81444 100000\n71461 100000\n63792 95679\n57223 85804\n68503 100000\n27127 40540\n60295 90446\n89669 100000\n3400 5120\n42058 62923\n42835 64090\n64097 96137\n26575 39723\n35622 53251\n83689 100000\n54023 80983\n4272 6425\n19251 28786\n97221 100000\n2438 3679\n61954 92945\n15536 23262\n26326 39355\n68568 100000\n16985 25405\n30589 45718\n46295 69303\n49030 73430\n444 671\n87053 100000\n82240 100000\n3307 4978\n97088 100000\n57005 85459\n930 1420\n63929 95883\n49843 74674\n76298 100000\n87604 100000\n67677 100000\n77454 100000\n50882 76225\n41358 61906\n46965 70316\n55804 83656\n60518 90783\n60406 90607\n66468 99728\n34680 51850\n38189 57124\n34529 51623\n29609 44230\n45504 68106\n26461 39552\n12334 18501\n66590 99916\n30562 45680\n56108 84109\n16384 24520\n30787 46027\n64982 97456\n6673 9980\n8811 13205\n44716 66915\n7491 11222\n76873 100000\n65791 98689\n93468 100000\n37343 55838\n38514 57622\n71953 100000\n56244 84306\n792 1203\n81516 100000\n14665 21952\n51996 77926\n38321 57324\n30290 45275\n19873 29711\n99379 100000\n81419 100000\n79936 100000\n79694 100000\n29317 43795\n53865 80737\n40413 60485\n16427 24583\n42621 63770\n18365 27479\n30042 44902\n15807 23669\n82994 100000\n60386 90577\n57455 86160\n79447 100000\n73527 100000\n82449 100000\n67109 100000\n21767 32543\n98660 100000\n28520 42601\n21551 32222\n41089 61499\n86954 100000\n26897 40192\n53654 80431\n57018 85478\n78251 100000\n90804 100000\n45438 68005\n36841 55079\n55521 83227\n90058 100000\n19742 29515\n70476 100000\n20929 31283\n1021 1560\n94279 100000\n87346 100000\n95673 100000\n83898 100000\n71959 100000\n36747 54932\n52817 79164\n75896 100000\n4358 6552\n86825 100000\n52082 78056\n82172 100000\n97092 100000\n21107 31560\n16460 24629\n48268 72284\n4743 7132\n91770 100000\n25337 37852\n43158 64573\n74647 100000\n6190 9263\n35764 53465\n74806 100000\n93247 100000\n23142 34603\n55519 83223\n75795 100000\n88735 100000\n19668 29406\n17282 25859\n55023 82501\n1143 1747\n87666 100000\n75014 100000\n23682 35412\n10703 16058\n43061 64422\n71171 100000\n52603 78846\n14091 21102\n28825 43071\n21 31\n5490 8230\n63970 95950\n68078 100000\n37021 55352\n95749 100000\n26634 39806\n41160 61605\n65788 98686\n96368 100000\n98873 100000\n10571 15865\n84717 100000\n75303 100000\n69496 100000\n61942 92926\n28904 43190\n58723 88078\n57832 86740\n61689 92541\n17166 25682\n47534 71189\n67259 100000\n47688 71411\n53181 79700\n29470 44018\n88713 100000\n29554 44146\n39837 59626\n29921 44721\n57723 86571\n28282 42265\n92254 100000\n59463 89184\n97340 100000\n89840 100000\n17403 26040\n53668 80452\n96948 100000\n81173 100000\n68923 100000\n21783 32568\n84268 100000\n5765 8635\n97922 100000\n31889 47684\n43378 64902\n24224 36227\n17458 26119\n30414 45461\n36728 54903\n74151 100000\n20529 30707\n62427 93651\n38005 56837\n36378 54396\n46867 70173\n94336 100000\n55396 83047\n3207 4836\n23711 35454\n59842 89752\n32860 49128\n37204 55635\n43934 65756\n89896 100000\n64090 96123\n3442 5182\n36065 53918\n27028 40390\n97721 100000\n8610 12888\n74801 100000\n30043 44904\n48501 72629\n98220 100000\n13730 20561\n19447 29083\n81940 100000\n57052 85533\n91881 100000\n97331 100000\n37867 56631\n37761 56468\n1125 1720\n4716 7092\n6879 10289\n12572 18849\n92610 100000\n31519 47132\n41413 61981\n88936 100000\n23578 35256\n15568 23314\n86589 100000\n47274 70783\n37172 55584\n5600 8397\n23586 35269\n68551 100000\n49955 74837\n18060 27031\n96578 100000\n4095 6166\n79238 100000\n43653 65324\n9205 13816\n93367 100000\n77925 100000\n57247 85842\n65737 98609\n19334 28907\n15632 23412\n9636 14447\n89312 100000\n1529 2316\n7413 11098\n73282 100000\n79862 100000\n92945 100000\n17935 26843\n71850 100000\n27644 41308\n42433 63494\n63061 94593\n4062 6118\n48236 72239\n30341 45350\n7585 11358\n9958 14936\n91373 100000\n96475 100000\n66171 99272\n49788 74594\n76326 100000\n9708 14563\n32834 49090\n12713 19057\n55046 82536\n75785 100000\n62884 94332\n72501 100000\n809 1227\n64609 96906\n11633 17441\n63019 94532\n70431 100000\n36274 54231\n22588 33769\n69573 100000\n52018 77958\n9246 13877\n55477 83163\n40304 60311\n20659 30893\n65909 98863\n84856 100000\n35704 53379\n29010 43349\n99334 100000\n39268 58778\n26136 39058\n60978 91460\n60891 91340\n94861 100000\n33388 49909\n39180 58631\n29075 43442\n90502 100000\n4490 6748\n83421 100000\n60342 90518\n34752 51961\n40461 60554\n82404 100000\n71421 100000\n3940 5942\n95184 100000\n71343 100000\n96839 100000\n42475 63551\n38310 57309\n6593 9857\n17446 26100\n48924 73269\n56265 84337\n35050 52396\n59378 89048\n41539 62162\n52984 79410\n65077 97603\n30966 46295\n1116 1705\n78543 100000\n32876 49150\n91291 100000\n90676 100000\n97218 100000\n32730 48933\n70894 100000\n78628 100000\n52377 78503\n75057 100000\n33835 50560\n4652 6995\n53545 80258\n41636 62306\n89257 100000\n37309 55786\n19511 29165\n54857 82241\n71654 100000\n39742 59485\n5999 8982\n78094 100000\n73991 100000\n85352 100000\n37892 56671\n34234 51170\n67845 100000\n50121 75087\n73428 100000\n77475 100000\n34597 51726\n89522 100000\n84209 100000\n72165 100000\n252 382\n70180 100000\n13302 19933\n23014 34406\n47298 70818\n78814 100000\n63339 95013\n85444 100000\n76152 100000\n37901 56686\n6530 9762\n17800 26625\n96192 100000\n79211 100000\n9754 14634\n45376 67912\n17264 25833\n95388 100000\n54745 82074\n26023 38886\n62105 93180\n51401 77022\n75121 100000\n63633 95445\n97424 100000\n63817 95715\n30504 45598\n13323 19964\n46663 69871\n59048 88546\n13756 20601\n5055 7590\n5781 8657\n12938 19393\n17170 25688\n57519 86257\n76900 100000\n80936 100000\n80050 100000\n31424 46985\n11774 17655\n3952 5956\n6842 10236\n57985 86973\n55386 83031\n15339 22965\n90500 100000\n19824 29633\n30498 45588\n7098 10616\n61899 92863\n51449 77089\n61646 92473\n2044 3079\n23664 35384\n16190 24241\n87627 100000\n24525 36654\n50491 75650\n88263 100000\n9972 14953\n71625 100000\n9123 13688\n21877 32701\n23311 34859\n3914 5900\n6218 9307\n6955 10397\n22828 34130\n87247 100000\n77476 100000\n67807 100000\n9046 13570\n97782 100000\n42633 63789\n92114 100000\n53094 79573\n98839 100000\n40914 61232\n76428 100000\n99772 100000\n53587 80323\n288 432\n88327 100000\n96034 100000\n68135 100000\n10149 15223\n13585 20355\n5560 8336\n72374 100000\n58190 87269\n78617 100000\n88109 100000\n90911 100000\n37558 56152\n23646 35355\n12943 19400\n89089 100000\n927 1414\n58786 88167\n51765 77571\n55132 82662\n92700 100000\n44947 67263\n84531 100000\n16012 23980\n90914 100000\n57434 86126\n29349 43841\n42416 63471\n25385 37933\n13667 20471\n85251 100000\n2708 4083\n46382 69437\n91226 100000\n24043 35959\n49200 73697\n74028 100000\n14470 21676\n79250 100000\n33775 50472\n77346 100000\n42215 63161\n22298 33321\n94276 100000\n5795 8676\n44351 66377\n16695 24974\n67980 100000\n83930 100000\n24020 35926\n30457 45530\n77733 100000\n20059 29992\n57770 86647\n1462 2213\n6054 9064\n55644 83417\n45252 67728\n97675 100000\n20965 31340\n75343 100000\n36299 54270\n35860 53605\n73258 100000\n41276 61781\n25208 37658\n49976 74867\n34887 52156\n79766 100000\n51512 77185\n49716 74486\n6788 10153\n3152 4751\n6961 10408\n10833 16242\n55035 82520\n42786 64019\n72452 100000\n1568 2373\n63722 95579\n74250 100000\n90103 100000\n39978 59833\n771 1175\n96587 100000\n229 346\n44392 66438\n24797 37058\n54635 81904\n20716 30976\n52341 78449\n61308 91979\n73895 100000\n33672 50327\n55077 82580\n74080 100000\n17899 26784\n79279 100000\n44417 66471\n67461 100000\n95668 100000\n47382 70955\n11313 16962\n20188 30187\n1596 2417\n30999 46346\n54873 82268\n70999 100000\n22594 33779\n63344 95020\n4806 7229\n32244 48220\n88690 100000\n17027 25467\n29452 43992\n58189 87268\n29236 43681\n12202 18306\n90421 100000\n51648 77389\n45388 67932\n70850 100000\n73617 100000\n60033 90051\n21751 32522\n68759 100000\n77531 100000\n30299 45289\n59019 88507\n97224 100000\n17380 26003\n82065 100000\n60261 90395\n24084 36019\n9292 13943\n64558 96827\n14322 21455\n84431 100000\n38504 57606\n69769 100000\n59129 88668\n7481 11204\n31824 47585\n36201 54124\n61419 92141\n20940 31300\n51060 76498\n96812 100000\n11938 17905\n13750 20591\n17727 26517\n48832 73127\n30077 44952\n93335 100000\n70805 100000\n63411 95118\n40818 61089\n10962 16440\n23225 34730\n1202 1831\n97872 100000\n67315 100000\n54452 81628\n50611 75829\n45397 67945\n1096 1675\n69613 100000\n54969 82414\n52184 78204\n67130 100000\n25453 38032\n17065 25527\n38421 57477\n56427 84594\n43536 65141\n59059 88564\n77894 100000\n68803 100000\n96563 100000\n56768 85096\n19402 29012\n75886 100000\n20830 31141\n95765 100000\n79140 100000\n10836 16246\n39677 59387\n43745 65459\n52574 78804\n55325 82940\n57513 86246\n35623 53253\n38111 57004\n75602 100000\n42820 64067\n63148 94721\n72927 100000\n71303 100000\n25293 37787\n72549 100000\n50689 75936\n81291 100000\n30035 44890\n2638 3975\n139 209\n27134 40550\n33669 50321\n59825 89731\n1603 2429\n4566 6866\n27453 41017\n66537 99836\n81303 100000\n72357 100000\n45011 67354\n2349 3542\n64574 96852\n43235 64692\n28337 42347\n57503 86231\n32217 48181\n54610 81862\n8462 12667\n67778 100000\n33061 49431\n8854 13271\n82256 100000\n73596 100000\n21250 31769\n10150 15224\n95875 100000\n77836 100000\n39203 58671\n69209 100000\n8851 13268\n69967 100000\n19426 29052\n41821 62569\n68885 100000\n68359 100000\n72883 100000\n93350 100000\n39088 58491\n86457 100000\n31234 46699\n41532 62152\n35625 53256\n57240 85831\n69158 100000\n12040 18063\n63049 94573\n64746 97110\n43945 65772\n40604 60771\n49205 73706\n85659 100000\n5884 8805\n29616 44243\n24542 36678\n3315 4991\n35851 53590\n20348 30430\n1045 1597\n5348 8025\n10493 15744\n53382 80006\n96927 100000\n66342 99526\n90567 100000\n23313 34862\n15584 23335\n9897 14842\n80312 100000\n70693 100000\n57492 86213\n212 322\n35862 53609\n9917 14876\n63107 94662\n55921 83833\n89793 100000\n19261 28801\n8651 12957\n86108 100000\n66821 100000\n23624 35325\n50743 76015\n61501 92262\n74955 100000\n86227 100000\n29825 44570\n61368 92071\n90694 100000\n41206 61676\n35936 53723\n74922 100000\n32141 48063\n9224 13847\n50898 76252\n31149 46575\n89004 100000\n55781 83626\n82841 100000\n15542 23272\n78124 100000\n47808 71597\n71261 100000\n67793 100000\n34214 51141\n76929 100000\n72133 100000\n6661 9964\n27809 41550\n11497 17239\n97559 100000\n972 1482\n89959 100000\n6941 10379\n89994 100000\n46374 69425\n7123 10654\n4831 7268\n20559 30750\n44591 66737\n86279 100000\n2344 3533\n29623 44256\n33273 49741\n98467 100000\n25266 37750\n61436 92165\n17655 26414\n92098 100000\n29240 43688\n83414 100000\n40160 60104\n38711 57928\n88165 100000\n52307 78402\n56293 84385\n87942 100000\n87186 100000\n8290 12409\n3877 5839\n93118 100000\n76014 100000\n35863 53610\n66618 99958\n38053 56915\n82594 100000\n11575 17352\n47967 71837\n66737 100000\n83893 100000\n94992 100000\n2823 4256\n71626 100000\n67755 100000\n47732 71481\n37905 56693\n71692 100000\n63282 94924\n28081 41959\n96473 100000\n91939 100000\n69125 100000\n52292 78380\n12721 19071\n46108 69022\n25193 37638\n15759 23599\n24407 36483\n73755 100000\n18059 27029\n70984 100000\n88746 100000\n38885 58182\n26048 38924\n18527 27720\n81631 100000\n20540 30723\n85519 100000\n75196 100000\n73315 100000\n51753 77552\n2453 3702\n52004 77939\n66428 99666\n54995 82457\n86939 100000\n41195 61662\n28229 42189\n94319 100000\n66362 99557\n56384 84528\n73422 100000\n19270 28815\n17444 26097\n70334 100000\n6098 9132\n16159 24194\n28004 41843\n65131 97687\n63720 95576\n96651 100000\n31094 46494\n60032 90050\n23787 35571\n50640 75867\n32392 48437\n56639 84907\n18469 27635\n67719 100000\n88631 100000\n63489 95227\n13177 19744\n3011 4537\n85386 100000\n22157 33116\n40957 61297\n1310 1988\n88640 100000\n61639 92463\n74186 100000\n477 721\n31847 47618\n32513 48611\n76745 100000\n11238 16848\n93955 100000\n75903 100000\n43331 64829\n23396 34983\n97835 100000\n51716 77494\n56212 84264\n73058 100000\n59280 88896\n79696 100000\n5322 7985\n18213 27253\n60314 90474\n85293 100000\n63465 95195\n2043 3077\n63886 95818\n19992 29888\n83804 100000\n97683 100000\n47459 71071\n21870 32692\n12937 19391\n76130 100000\n16725 25019\n28089 41972\n31427 46989\n92084 100000\n6980 10439\n95062 100000\n54190 81237\n43263 64731\n86249 100000\n53598 80341\n20809 31114\n64762 97135\n2366 3571\n31106 46510\n42538 63642\n3590 5397\n76785 100000\n84165 100000\n59669 89497\n2256 3402\n7056 10552\n42303 63300\n64138 96198\n72746 100000\n45633 68299\n45686 68381\n84953 100000\n76677 100000\n61254 91899\n32804 49049\n58690 88028\n6439 9631\n19381 28976\n58387 87578\n15357 22990\n67843 100000\n37530 56116\n46874 70183\n82194 100000\n96939 100000\n14679 21972\n97497 100000\n36023 53851\n40908 61224\n79858 100000\n51139 76616\n99713 100000\n32015 47876\n23900 35743\n64449 96649\n52347 78458\n4108 6183\n53085 79561\n98257 100000\n88261 100000\n28479 42542\n49714 74483\n31798 47547\n6112 9153\n24754 36991\n17664 26428\n46542 69685\n15891 23794\n23863 35686\n25645 38304\n57920 86874\n19369 28956\n55378 83019\n68673 100000\n62881 94326\n23696 35431\n17580 26297\n10137 15203\n45095 67484\n47151 70599\n19280 28830\n74531 100000\n46608 69783\n48445 72541\n54868 82260\n79535 100000\n49204 73704\n55888 83778\n8039 12036\n87482 100000\n108 166\n39278 58792\n12653 18969\n78236 100000\n83133 100000\n56118 84127\n29355 43850\n39594 59258\n28185 42120\n19630 29346\n37489 56054\n31651 47337\n34251 51193\n23110 34559\n57149 85687\n4890 7352\n59794 89684\n45353 67878\n99180 100000\n98267 100000\n27246 40709\n62685 94029\n62514 93776\n5410 8116\n55703 83507\n61303 91972\n97862 100000\n36703 54862\n80449 100000\n82809 100000\n30474 45553\n99227 100000\n48947 73304\n77377 100000\n90104 100000\n70386 100000\n92621 100000\n75247 100000\n14012 20988\n23751 35514\n81128 100000\n98661 100000\n92391 100000\n6950 10391\n20671 30910\n37342 55837\n26695 39893\n71926 100000\n86843 100000\n14377 21533\n30312 45309\n80941 100000\n2665 4016\n97713 100000\n44481 66568\n70116 100000\n30045 44907\n66625 99968\n12896 19332\n86009 100000\n70789 100000\n41126 61555\n83008 100000\n59769 89646\n16549 24761\n29356 43851\n40502 60618\n77989 100000\n1587 2405\n20970 31348\n45884 68684\n97044 100000\n53774 80607\n33127 49532\n55959 83889\n96270 100000\n75546 100000\n27908 41700\n99216 100000\n93113 100000\n69680 100000\n94859 100000\n78663 100000\n28391 42420\n1170 1789\n37431 55970\n88386 100000\n29754 44465\n90234 100000\n14510 21733\n7210 10789\n12311 18467\n55211 82776\n9799 14700\n48602 72790\n72305 100000\n76892 100000\n14597 21856\n51695 77461\n25872 38655\n82901 100000\n82866 100000\n66040 99068\n25667 38342\n73279 100000\n87584 100000\n8810 13203\n89825 100000\n71569 100000\n47994 71879\n79201 100000\n16609 24846\n9690 14532\n44622 66782\n83813 100000\n58535 87798\n12949 19409\n11993 17986\n11005 16503\n63705 95553\n66783 100000\n3144 4741\n10085 15131\n26501 39617\n12089 18136\n46304 69317\n63008 94515\n27613 41261\n57736 86593\n3818 5746\n61897 92859\n67232 100000\n16656 24915\n89941 100000\n45151 67568\n95951 100000\n49150 73620\n91284 100000\n69142 100000\n68384 100000\n4195 6315\n32888 49169\n45729 68445\n51066 76507\n91548 100000\n80478 100000\n14155 21202\n85851 100000\n22353 33404\n59829 89736\n21903 32740\n8346 12493\n81204 100000\n27652 41318\n14204 21279\n24343 36399\n50999 76406\n376 564\n99339 100000\n93515 100000\n12417 18619\n83050 100000\n58553 87826\n41162 61608\n32526 48633\n13258 19864\n76356 100000\n72025 100000\n37216 55652\n60088 90131\n13719 20545\n45660 68341\n27759 41472\n52536 78744\n87362 100000\n51311 76881\n92482 100000\n18580 27795\n67911 100000\n38346 57361\n99247 100000\n79871 100000\n84572 100000\n34051 50892\n67724 100000\n73853 100000\n56975 85411\n66996 100000\n86921 100000\n49253 73785\n29659 44318\n11245 16859\n20829 31140\n58717 88069\n99973 100000\n20903 31245\n11328 16985\n3716 5590\n66344 99529\n44530 66644\n46033 68911\n83807 100000\n49768 74564\n61575 92371\n76926 100000\n60908 91365\n66759 100000\n18424 27571\n7556 11316\n84169 100000\n95275 100000\n57898 86840\n10831 16239\n80069 100000\n46048 68934\n96922 100000\n28608 42734\n43585 65218\n87694 100000\n54078 81068\n19750 29526\n63900 95840\n11522 17276\n77899 100000\n51547 77238\n93832 100000\n711 1079\n92977 100000\n20524 30702\n52170 78186\n44104 66006\n93517 100000\n51859 77721\n16421 24575\n67387 100000\n5087 7640\n80231 100000\n57064 85552\n29864 44632\n87511 100000\n62576 93871\n4882 7340\n45206 67654\n33965 50760\n45129 67537\n50085 75030\n24485 36596\n72953 100000\n5330 7998\n67110 100000\n87952 100000\n1401 2123\n83837 100000\n18411 27551\n7638 11431\n80749 100000\n93775 100000\n75573 100000\n85171 100000\n79188 100000\n15764 23607\n11360 17031\n70460 100000\n62895 94351\n57687 86515\n69761 100000\n88302 100000\n17248 25808\n19861 29691\n58788 88170\n57646 86450\n92408 100000\n36920 55194\n45585 68230\n62904 94363\n9144 13719\n25657 38326\n11818 17717\n44179 66117\n66157 99248\n31478 47067\n83826 100000\n64119 96170\n81784 100000\n97800 100000\n35103 52474\n41717 62418\n23609 35302\n88530 100000\n74185 100000\n29017 43360\n13972 20927\n76213 100000\n65432 98145\n99082 100000\n11770 17648\n98175 100000\n90968 100000\n97376 100000\n99279 100000\n50053 74984\n91657 100000\n51137 76614\n74649 100000\n88223 100000\n52705 79000\n38807 58069\n83248 100000\n67108 100000\n66368 99566\n21378 31956\n48915 73252\n52588 78826\n21066 31501\n67240 100000\n30058 44924\n37586 56199\n44034 65900\n37729 56423\n74181 100000\n13601 20376\n51835 77685\n10113 15170\n44246 66215\n39309 58836\n23482 35122\n72091 100000\n12108 18168\n57482 86196\n27011 40366\n96612 100000\n1140 1743\n78221 100000\n48611 72802\n42080 62955\n60911 91369\n68609 100000\n21159 31633\n56268 84341\n56180 84222\n82352 100000\n81222 100000\n1433 2171\n57833 86741\n19472 29115\n89872 100000\n72601 100000\n73421 100000\n28764 42973\n79675 100000\n22551 33713\n60341 90516\n47626 71318\n47484 71108\n23561 35230\n34593 51720\n88394 100000\n45232 67695\n39691 59409\n86417 100000\n88434 100000\n37482 56045\n47049 70437\n89642 100000\n44545 66663\n72435 100000\n77215 100000\n94268 100000\n27849 41610\n98490 100000\n48341 72391\n52154 78165\n10816 16223\n76596 100000\n98507 100000\n77882 100000\n23921 35776\n83615 100000\n60184 90279\n77120 100000\n40572 60722\n19555 29233\n31605 47260\n86851 100000\n65863 98793\n72917 100000\n55335 82958\n62028 93055\n99970 100000\n99052 100000\n28647 42797\n57730 86584\n72568 100000\n15022 22487\n8742 13098\n96752 100000\n76415 100000\n7134 10671\n75945 100000\n58960 88422\n23948 35817\n48071 71987\n55970 83906\n84657 100000\n44118 66027\n70218 100000\n36086 53951\n60517 90781\n53316 79903\n20823 31132\n99893 100000\n70306 100000\n26563 39706\n29241 43690\n97286 100000\n81386 100000\n32529 48638\n66481 99745\n25263 37745\n53244 79791\n10895 16338\n93004 100000\n92629 100000\n55460 83142\n51808 77646\n28463 42523\n39590 59253\n11018 16521\n54063 81045\n62652 93978\n66535 99832\n83744 100000\n26581 39730\n25220 37675\n92109 100000\n56400 84552\n91171 100000\n98833 100000\n51502 77168\n68056 100000\n87954 100000\n16501 24683\n60904 91359\n52484 78665\n77067 100000\n27727 41425\n9170 13760\n55950 83875\n20380 30477\n66085 99137\n54373 81508\n39053 58441\n36865 55115\n61660 92493\n37057 55412\n18933 28320\n28266 42242\n81085 100000\n98440 100000\n19605 29308\n50218 75236\n89865 100000\n96386 100000\n28847 43107\n77355 100000\n9713 14570\n4740 7128\n15391 23041\n44838 67092\n62347 93545\n57156 85698\n62067 93120\n17370 25990\n66315 99491\n73870 100000\n80666 100000\n8466 12673\n48510 72640\n73176 100000\n22371 33431\n28343 42358\n99668 100000\n58756 88125\n53507 80200\n41293 61807\n27623 41277\n54059 81039\n29946 44761\n44030 65894\n1727 2605\n36694 54849\n82187 100000\n80122 100000\n91415 100000\n34516 51603\n66743 100000\n37715 56400\n41798 62537\n72687 100000\n12775 19152\n67441 100000\n22626 33827\n93757 100000\n50227 75248\n46694 69914\n21644 32357\n55919 83829\n46585 69748\n9983 14973\n42057 62921\n51823 77666\n80741 100000\n10474 15711\n3712 5584\n3217 4850\n32509 48607\n34260 51209\n13124 19667\n6076 9098\n73178 100000\n63774 95653\n15581 23331\n81111 100000\n88680 100000\n40640 60824\n36117 54001\n21470 32097\n95488 100000\n52467 78638\n93506 100000\n23845 35657\n88607 100000\n35611 53233\n45274 67762\n65100 97638\n55406 83059\n98032 100000\n54077 81066\n91664 100000\n72484 100000\n33168 49590\n89934 100000\n89596 100000\n44787 67021\n87806 100000\n33860 50599\n96806 100000\n23070 34496\n4155 6258\n10815 16221\n75087 100000\n41920 62718\n90403 100000\n78300 100000\n45740 68462\n96590 100000\n80755 100000\n49072 73495\n98862 100000\n55189 82747\n90542 100000\n90789 100000\n11801 17696\n96852 100000\n80487 100000\n98458 100000\n64534 96789\n22983 34358\n70538 100000\n19713 29471\n35748 53442\n73600 100000\n65129 97685\n93214 100000\n7082 10593\n9301 13956\n9212 13826\n10030 15048\n47872 71694\n84187 100000\n34046 50884\n51183 76679\n44936 67249\n80257 100000\n22044 32948\n14079 21082\n1000 1530\n33780 50481\n97679 100000\n63746 95613\n31932 47748\n66876 100000\n84436 100000\n86023 100000\n31629 47300\n46329 69354\n61215 91830\n1268 1928\n32660 48833\n3611 5427\n68518 100000\n17423 26069\n85915 100000\n74807 100000\n25354 37880\n64201 96291\n51026 76446\n99067 100000\n96545 100000\n96729 100000\n58825 88224\n81362 100000\n53988 80927\n6321 9463\n32882 49160\n45429 67994\n51711 77486\n81643 100000\n73307 100000\n70612 100000\n12519 18771\n45032 67391\n89818 100000\n98322 100000\n78988 100000\n91786 100000\n27263 40732\n76170 100000\n72174 100000\n81288 100000\n71176 100000\n61719 92584\n46169 69113\n25020 37374\n89932 100000\n86522 100000\n86376 100000\n25603 38246\n68966 100000\n14792 22141\n44641 66811\n36784 54986\n23378 34958\n56321 84431\n89856 100000\n64857 97274\n59374 89042\n60520 90786\n17866 26732\n39591 59254\n18189 27216\n83579 100000\n42958 64275\n54378 81514\n52373 78499\n39679 59389\n55849 83723\n88953 100000\n66370 99568\n59985 89980\n65778 98671\n7617 11402\n42025 62871\n95152 100000\n97576 100000\n98577 100000\n82521 100000\n64065 96088\n56983 85423\n56878 85262\n91648 100000\n63806 95699\n45417 67977\n34574 51694\n10043 15068\n29742 44448\n94317 100000\n10771 16160\n17544 26247\n35686 53351\n49392 73995\n27432 40987\n12153 18230\n91691 100000\n13024 19521\n30975 46309\n59297 88924\n41459 62046\n8599 12871\n59852 89767\n17944 26856\n6938 10374\n87498 100000\n30665 45837\n136 205\n95084 100000\n48575 72744\n5076 7623\n78571 100000\n79039 100000\n19984 29877\n82359 100000\n52578 78811\n34382 51389\n44383 66422\n55803 83655\n53681 80471\n25024 37381\n78276 100000\n69200 100000\n54870 82263\n79573 100000\n16394 24538\n37922 56716\n50805 76106\n21609 32306\n26227 39200\n3399 5118\n44626 66789\n91329 100000\n43782 65518\n10533 15802\n45381 67919\n94473 100000\n63231 94843\n30435 45495\n76001 100000\n4039 6086\n21336 31894\n59606 89405\n65862 98791\n69607 100000\n70942 100000\n63054 94581\n1659 2513\n23933 35796\n4626 6957\n60509 90766\n88350 100000\n90434 100000\n55610 83368\n82925 100000\n1343 2037\n83635 100000\n21492 32130\n62487 93734\n79614 100000\n55175 82724\n5899 8828\n56460 84642\n49388 73989\n23120 34574\n69102 100000\n78643 100000\n78778 100000\n33862 50601\n45913 68730\n43959 65788\n81211 100000\n13983 20944\n59638 89452\n74289 100000\n30828 46091\n13735 20568\n34372 51374\n95316 100000\n30898 46189\n13102 19634\n97258 100000\n15402 23057\n93883 100000\n66210 99332\n92951 100000\n38104 56993\n68869 100000\n72469 100000\n16717 25007\n41877 62651\n73812 100000\n28042 41900\n54409 81562\n9261 13898\n54317 81419\n91147 100000\n5277 7920\n2861 4312\n26884 40172\n10195 15293\n25607 38252\n35870 53621\n78926 100000\n7498 11233\n63417 95127\n5225 7848\n29723 44420\n4480 6734\n25539 38156\n36905 55177\n5515 8268\n47262 70767\n15371 23010\n53607 80355\n73739 100000\n35798 53517\n62588 93889\n17557 26264\n10927 16386\n35868 53617\n87009 100000\n62158 93261\n16630 24878\n30856 46129\n76634 100000\n93498 100000\n47277 70787\n10518 15779\n48857 73165\n17657 26418\n88077 100000\n65357 98030\n28246 42213\n27708 41393\n11235 16844\n45774 68515\n31714 47431\n95113 100000\n99703 100000\n40577 60730\n16888 25263\n59508 89251\n18159 27171\n1716 2590\n94192 100000\n49707 74473\n77781 100000\n54970 82416\n25609 38255\n2719 4098\n36377 54395\n38014 56851\n60765 91150\n32181 48125\n6223 9313\n52558 78781\n71170 100000\n63479 95214\n28571 42677\n24920 37235\n79337 100000\n70776 100000\n80148 100000\n5147 7724\n39168 58613\n94245 100000\n58100 87142\n94630 100000\n43821 65579\n70232 100000\n67572 100000\n87922 100000\n35930 53714\n87681 100000\n88584 100000\n7278 10894\n95811 100000\n58447 87668\n65626 98442\n78667 100000\n43108 64497\n73736 100000\n38830 58101\n73782 100000\n24461 36562\n39765 59516\n7722 11560\n60179 90271\n69559 100000\n15288 22891\n5210 7826\n79556 100000\n22883 34216\n6525 9756\n87865 100000\n81956 100000\n51681 77442\n71298 100000\n81574 100000\n31187 46628\n69740 100000\n75864 100000\n43428 64978\n94437 100000\n35895 53655\n33808 50522\n24082 36016\n7972 11937\n22576 33750\n80102 100000\n83347 100000\n37566 56167\n95300 100000\n1650 2500\n71649 100000\n69547 100000\n60431 90650\n44790 67025\n16214 24278\n37008 55332\n20093 30044\n29854 44616\n43901 65705\n92250 100000\n37348 55846\n18174 27195\n2772 4181\n20266 30310\n83823 100000\n751 1145\n14772 22112\n76082 100000\n17016 25451\n54962 82404\n75652 100000\n30995 46339\n39610 59282\n98845 100000\n81848 100000\n45543 68165\n18947 28340\n29903 44694\n79354 100000\n48098 72032\n11174 16746\n22376 33439\n60036 90055\n61601 92408\n87856 100000\n49518 74186\n2815 4246\n45996 68855\n50321 75392\n86394 100000\n81768 100000\n51635 77372\n6057 9069\n48511 72642\n89038 100000\n30803 46052\n28887 43167\n91858 100000\n98353 100000\n54212 81265\n4003 6036\n11798 17692\n3432 5166\n58876 88300\n79395 100000\n50503 75668\n76388 100000\n67054 100000\n69198 100000\n12659 18978\n83124 100000\n56644 84914\n55334 82957\n97699 100000\n70361 100000\n20964 31338\n46017 68887\n84860 100000\n91342 100000\n75130 100000\n53797 80638\n4593 6906\n56577 84814\n23940 35806\n9831 14749\n95002 100000\n47479 71100\n42796 64032\n98754 100000\n47846 71655\n20327 30398\n89284 100000\n70728 100000\n81185 100000\n98552 100000\n59106 88632\n88627 100000\n26509 39629\n401 603\n75377 100000\n31332 46845\n91732 100000\n57362 86014\n49147 73615\n54359 81486\n25812 38565\n33101 49492\n49065 73485\n77658 100000\n48829 73124\n565 859\n54499 81695\n38314 57315\n34947 52245\n15352 22983\n35401 52922\n97381 100000\n93799 100000\n86218 100000\n37790 56513\n35663 53311\n74374 100000\n59318 88956\n18919 28300\n28352 42371\n96139 100000\n16270 24360\n38600 57756\n21156 31630\n36158 54059\n68052 100000\n67173 100000\n47976 71852\n3983 6004\n71495 100000\n51935 77833\n68285 100000\n43605 65255\n68644 100000\n27927 41730\n23930 35791\n14504 21723\n85529 100000\n16058 24047\n1738 2618\n10379 15574\n96552 100000\n65660 98492\n3951 5955\n51235 76761\n35012 52340\n28273 42252\n41892 62674\n99477 100000\n28885 43163\n10198 15298\n11436 17147\n61462 92200\n41351 61895\n27594 41228\n40174 60125\n71057 100000\n77010 100000\n60240 90366\n13879 20785\n4248 6392\n72699 100000\n51749 77545\n93055 100000\n53669 80454\n64457 96661\n74183 100000\n32020 47883\n20963 31336\n63029 94546\n80217 100000\n91391 100000\n8244 12339\n96903 100000\n18612 27841\n1288 1955\n36898 55167\n23733 35487\n9596 14384\n89005 100000\n21503 32147\n64074 96100\n48433 72524\n44894 67176\n88535 100000\n89854 100000\n63876 95804\n82549 100000\n92418 100000\n75484 100000\n81248 100000\n62304 93478\n67838 100000\n22481 33602\n94040 100000\n5189 7795\n74892 100000\n95794 100000\n48531 72675\n2780 4194\n4578 6882\n42341 63358\n63811 95706\n80396 100000\n16901 25281\n35030 52367\n44055 65931\n1556 2354\n48440 72534\n78322 100000\n75269 100000\n37243 55691\n74795 100000\n76455 100000\n62530 93801\n44282 66268\n2950 4443\n89580 100000\n9779 14672\n50230 75253\n62649 93975\n72202 100000\n45693 68393\n7233 10828\n91561 100000\n55906 83809\n25349 37871\n31941 47759\n25114 37521\n35087 52450\n65897 98844\n69013 100000\n24852 37135\n2329 3515\n29685 44359\n6621 9905\n27521 41119\n7127 10660\n85952 100000\n68764 100000\n11119 16666\n67602 100000\n6203 9283\n24679 36882\n41313 61835\n49766 74561\n24580 36738\n47723 71466\n38860 58143\n43840 65609\n29565 44163\n84867 100000\n4748 7140\n2540 3829\n51141 76618\n35252 52696\n33715 50388\n23215 34712\n60597 90896\n75338 100000\n82493 100000\n22125 33070\n95285 100000\n7529 11278\n70279 100000\n35778 53486\n41329 61862\n22458 33568\n57357 86007\n24660 36857\n63095 94643\n17924 26825\n57392 86057\n71568 100000\n48411 72494\n30279 45258\n99844 100000\n39741 59484\n64328 96480\n28429 42475\n7889 11811\n30541 45650\n24902 37212\n7897 11822\n3900 5875\n48982 73356\n84604 100000\n6298 9425\n44816 67061\n66117 99186\n93139 100000\n904 1377\n22991 34372\n30065 44935\n41837 62592\n29232 43674\n90116 100000\n43398 64934\n96133 100000\n16350 24471\n83427 100000\n18752 28051\n75850 100000\n43382 64910\n32595 48738\n70831 100000\n22179 33148\n75336 100000\n65150 97716\n39272 58783\n67230 100000\n69440 100000\n22029 32926\n44555 66679\n48708 72946\n33645 50286\n63785 95669\n53235 79779\n59529 89284\n50827 76140\n64748 97113\n61904 92871\n69291 100000\n31186 46626\n52180 78199\n7094 10611\n17407 26045\n13855 20751\n24248 36260\n54865 82255\n42624 63775\n54091 81087\n48198 72179\n27669 41339\n39169 58615\n15461 23148\n68143 100000\n70992 100000\n2119 3193\n68186 100000\n33740 50426\n14222 21307\n94280 100000\n36403 54438\n18122 27119\n818 1242\n87467 100000\n60994 91486\n24018 35923\n57473 86184\n51070 76513\n86256 100000\n68690 100000\n10903 16351\n24767 37013\n72451 100000\n11233 16840\n85381 100000\n83388 100000\n74626 100000\n99149 100000\n34121 50996\n98445 100000\n60064 90094\n79527 100000\n18837 28176\n40956 61296\n37404 55928\n2589 3900\n53586 80322\n38675 57872\n69240 100000\n15635 23417\n1216 1851\n67615 100000\n82729 100000\n90765 100000\n82730 100000\n40718 60935\n67205 100000\n90335 100000\n40786 61043\n92918 100000\n35160 52558\n72817 100000\n93655 100000\n63109 94665\n52356 78471\n98965 100000\n754 1150\n26058 38941\n46090 68995\n76808 100000\n37944 56747\n7116 10643\n64433 96626\n63308 94964\n70486 100000\n17905 26793\n16973 25388\n28471 42532\n92585 100000\n79231 100000\n99148 100000\n17227 25776\n20363 30451\n18963 28364\n53702 80503\n76144 100000\n5789 8669\n49480 74129\n59057 88561\n67511 100000\n1251 1903\n63405 95109\n31486 47078\n19781 29569\n95099 100000\n28439 42490\n12835 19241\n25321 37830\n65411 98114\n25372 37910\n21360 31930\n86335 100000\n19137 28619\n32212 48175\n97540 100000\n94874 100000\n93991 100000\n58947 88402\n1050 1606\n22616 33812\n58142 87200\n80774 100000\n68679 100000\n44274 66256\n85544 100000\n98799 100000\n67850 100000\n60186 90281\n39446 59037\n67157 100000\n27582 41209\n42760 63983\n26586 39738\n50506 75673\n47630 71324\n85608 100000\n47396 70977\n25967 38800\n94258 100000\n79244 100000\n59627 89436\n73760 100000\n80450 100000\n85222 100000\n95941 100000\n36927 55206\n88294 100000\n90257 100000\n30688 45874\n6138 9191\n19943 29813\n75172 100000\n68334 100000\n25032 37393\n3621 5440\n56286 84374\n36382 54402\n78612 100000\n42020 62863\n85462 100000\n1525 2310\n98595 100000\n14746 22075\n80198 100000\n26967 40301\n43888 65684\n90035 100000\n91279 100000\n79166 100000\n16836 25178\n16119 24140\n97549 100000\n58935 88386\n48100 72035\n59294 88919\n62210 93340\n95723 100000\n40799 61062\n80901 100000\n90924 100000\n69937 100000\n70903 100000\n68158 100000\n84103 100000\n52198 78225\n6464 9663\n92163 100000\n65627 98443\n90930 100000\n41038 61424\n21939 32793\n16903 25283\n25028 37388\n38593 57746\n3021 4553\n73184 100000\n84003 100000\n9586 14371\n81925 100000\n47698 71427\n45749 68474\n64391 96571\n47219 70697\n42397 63445\n96703 100000\n87085 100000\n40733 60959\n58215 87310\n1779 2676\n54518 81722\n66698 100000\n82591 100000\n28459 42518\n34441 51480\n7442 11140\n11479 17213\n36995 55311\n18569 27780\n15393 23044\n22732 33994\n9518 14274\n22650 33867\n23675 35402\n91992 100000\n69272 100000\n31586 47229\n38295 57288\n27309 40805\n89923 100000\n86407 100000\n42575 63701\n84536 100000\n28740 42938\n85234 100000\n42764 63989\n55365 83000\n38722 57943\n15905 23814\n70342 100000\n4730 7116\n16645 24898\n97457 100000\n18774 28085\n79575 100000\n43117 64513\n42307 63307\n66944 100000\n32290 48286\n64999 97485\n24554 36699\n943 1438\n321 479\n33539 50130\n6586 9845\n53954 80875\n85125 100000\n87560 100000\n35159 52557\n63323 94985\n6613 9890\n24976 37315\n74509 100000\n82736 100000\n6541 9779\n30112 45004\n73945 100000\n60126 90192\n53092 79571\n56234 84293\n57320 85953\n74078 100000\n99242 100000\n48787 73059\n83293 100000\n53759 80586\n22349 33396\n26699 39897\n76774 100000\n11776 17658\n36016 53839\n79264 100000\n55282 82883\n81168 100000\n27834 41590\n42374 63411\n53713 80521\n6588 9849\n91982 100000\n31470 47056\n78382 100000\n72309 100000\n84500 100000\n94773 100000\n48288 72314\n53247 79796\n71480 100000\n93446 100000\n84026 100000\n5074 7620\n27352 40866\n29714 44406\n65770 98658\n50185 75182\n28868 43138\n62288 93456\n50 71\n14284 21403\n94122 100000\n75725 100000\n99671 100000\n38115 57009\n84275 100000\n90182 100000\n34787 52012\n9813 14721\n30845 46113\n1176 1796\n80601 100000\n43946 65773\n46174 69122\n51650 77392\n74940 100000\n24923 37241\n95065 100000\n34124 51001\n97096 100000\n62007 93023\n70059 100000\n98264 100000\n41996 62824\n6829 10217\n5361 8045\n74716 100000\n59117 88651\n63702 95549\n84069 100000\n38672 57866\n37323 55808\n59864 89787\n39064 58459\n17750 26551\n42012 62850\n99043 100000\n96016 100000\n50582 75789\n6085 9113\n21477 32108\n41467 62057\n18056 27023\n69214 100000\n14356 21503\n4828 7264\n14411 21585\n35188 52599\n54825 82194\n79044 100000\n43611 65264\n63422 95134\n29343 43831\n12047 18073\n60521 90787\n22063 32977\n30005 44849\n1065 1630\n192 290\n34375 51379\n12390 18582\n54149 81175\n5392 8088\n62079 93140\n43710 65407\n66300 99469\n65023 97522\n96319 100000\n32982 49309\n86046 100000\n13350 20008\n23201 34691\n66526 99817\n1979 2976\n24015 35918\n5282 7927\n87090 100000\n10202 15304\n41655 62333\n3697 5559\n24958 37289\n35915 53689\n3324 5002\n64837 97243\n73584 100000\n69281 100000\n25556 38179\n35765 53467\n85382 100000\n40778 61032\n61992 93003\n37853 56609\n68910 100000\n42468 63543\n65893 98839\n39891 59707\n64905 97345\n29580 44186\n4263 6412\n32761 48982\n76567 100000\n26054 38934\n6490 9699\n78852 100000\n35646 53289\n46157 69093\n88241 100000\n15111 22622\n45473 68063\n13659 20459\n17699 26475\n46268 69265\n24603 36773\n83423 100000\n26423 39497\n26354 39396\n38849 58129\n37556 56149\n81474 100000\n73807 100000\n67046 100000\n12502 18744\n4659 7005\n16239 24316\n34418 51442\n37868 56632\n115 175\n39432 59015\n73497 100000\n70665 100000\n57457 86164\n90219 100000\n74523 100000\n72993 100000\n33336 49834\n53078 79550\n7623 11410\n44419 66474\n168 253\n40492 60601\n10004 15003\n53842 80702\n86012 100000\n74695 100000\n79479 100000\n17989 26926\n8976 13461\n14838 22215\n6737 10079\n12805 19195\n15161 22694\n71283 100000\n29710 44399\n14352 21498\n78531 100000\n73464 100000\n70672 100000\n62231 93371\n17334 25936\n95510 100000\n36827 55054\n63030 94547\n57625 86420\n21147 31615\n3493 5262\n9794 14693\n19924 29783\n12036 18056\n73234 100000\n43127 64530\n17507 26193\n37249 55699\n66801 100000\n12249 18373\n92597 100000\n72281 100000\n51356 76950\n78722 100000\n91861 100000\n78782 100000\n67725 100000\n93120 100000\n21744 32511\n17812 26642\n13325 19967\n86077 100000\n35359 52862\n65810 98718\n8153 12209\n10804 16207\n28007 41849\n5041 7573\n62109 93187\n23956 35827\n61221 91841\n24045 35962\n72791 100000\n64007 96002\n66182 99289\n58623 87926\n75331 100000\n43221 64672\n3549 5343\n17873 26743\n560 850\n63733 95594\n76151 100000\n43807 65557\n7676 11491\n79168 100000\n72431 100000\n95310 100000\n629 957\n49615 74336\n45440 68007\n2951 4445\n41938 62742\n41221 61698\n22442 33544\n45067 67441\n99960 100000\n32578 48711\n35231 52664\n33711 50383\n12754 19119\n40805 61070\n36027 53856\n12023 18035\n91423 100000\n58557 87832\n435 657\n29832 44580\n75313 100000\n37472 56029\n94500 100000\n460 695\n74008 100000\n24980 37320\n57097 85602\n54562 81791\n45509 68114\n35897 53659\n88486 100000\n92838 100000\n60401 90600\n90558 100000\n66474 99736\n2525 3808\n62516 93780\n41574 62211\n29159 43566\n40366 60411\n28359 42378\n50701 75951\n87546 100000\n48027 71923\n10182 15274\n4553 6846\n62824 94239\n59972 89957\n16325 24437\n17709 26490\n29417 43940\n14530 21764\n81143 100000\n23294 34832\n83664 100000\n18147 27155\n95816 100000\n45281 67771\n29243 43693\n57463 86173\n88252 100000\n91779 100000\n28499 42571\n53824 80675\n92534 100000\n56755 85077\n56486 84681\n52049 78004\n89230 100000\n54207 81258\n15796 23654\n14286 21405\n19488 29136\n61113 91667\n10539 15810\n98950 100000\n3602 5415\n48793 73068\n63110 94667\n51242 76772\n70664 100000\n95128 100000\n78103 100000\n86676 100000\n74803 100000\n4719 7097\n80481 100000\n12799 19185\n53161 79671\n47130 70566\n73730 100000\n52270 78344\n61705 92566\n9744 14620\n40457 60549\n5072 7617\n92766 100000\n59399 89083\n48562 72723\n80263 100000\n96163 100000\n92286 100000\n47022 70398\n15652 23441\n75893 100000\n19373 28963\n77214 100000\n42488 63572\n28940 43241\n47209 70684\n92955 100000\n6998 10469\n32076 47967\n70428 100000\n23336 34897\n56506 84712\n84438 100000\n24312 36353\n95460 100000\n51331 76911\n20818 31124\n36687 54841\n6476 9680\n80598 100000\n55773 83615\n16405 24553\n57054 85537\n42943 64255\n73462 100000\n80699 100000\n9919 14879\n10856 16277\n18582 27799\n73827 100000\n23978 35861\n5538 8301\n18810 28138\n63194 94790\n72434 100000\n54022 80981\n57474 86185\n39807 59583\n3052 4600\n61730 92600\n44579 66717\n16312 24420\n87452 100000\n6143 9198\n3323 5001\n38753 57990\n18522 27715\n25034 37395\n74693 100000\n54198 81246\n79277 100000\n66762 100000\n49809 74623\n12674 19004\n61506 92271\n36034 53865\n57600 86381\n77344 100000\n68190 100000\n12724 19076\n91585 100000\n44734 66944\n35479 53037\n32743 48954\n8800 13189\n54430 81592\n33868 50611\n33907 50668\n12000 17998\n5368 8053\n7981 11951\n34026 50852\n1928 2901\n81445 100000\n99620 100000\n16411 24561\n81389 100000\n10461 15692\n77338 100000\n37929 56725\n6497 9710\n30173 45094\n26266 39265\n23382 34964\n75173 100000\n6475 9679\n14382 21540\n40824 61098\n52357 78472\n39596 59260\n39915 59742\n76863 100000\n49293 73839\n61576 92373\n97847 100000\n41850 62612\n13029 19528\n740 1129\n19480 29124\n35734 53421\n35652 53298\n29400 43917\n75200 100000\n59409 89098\n63542 95304\n5449 8169\n25833 38596\n34928 52219\n72013 100000\n79686 100000\n66986 100000\n34878 52138\n33785 50488\n77938 100000\n61949 92936\n40570 60718\n60937 91404\n3308 4980\n32663 48838\n6291 9415\n72962 100000\n96764 100000\n75293 100000\n72391 100000\n73729 100000\n79145 100000\n50111 75072\n18557 27762\n27269 40742\n15169 22707\n77011 100000\n86923 100000\n98822 100000\n67656 100000\n75333 100000\n5499 8243\n96061 100000\n14431 21616\n14437 21625\n79728 100000\n50549 75736\n96348 100000\n77701 100000\n36901 55170\n21778 32560\n14346 21489\n26722 39934\n30060 44926\n35068 52424\n39473 59076\n33550 50147\n88519 100000\n77678 100000\n18698 27971\n79685 100000\n57053 85535\n29348 43839\n47772 71545\n36740 54923\n84194 100000\n11976 17962\n93604 100000\n79150 100000\n63228 94838\n22963 34329\n10484 15729\n1646 2494\n51696 77463\n85368 100000\n79528 100000\n65953 98930\n61061 91590\n27934 41739\n68932 100000\n8277 12390\n99549 100000\n84779 100000\n22247 33244\n61400 92114\n10534 15803\n67220 100000\n39468 59068\n29830 44577\n75980 100000\n40317 60332\n70640 100000\n58622 87924\n39654 59351\n14620 21886\n44012 65866\n44663 66841\n17851 26707\n6599 9868\n85257 100000\n76411 100000\n73185 100000\n45931 68758\n88004 100000\n69192 100000\n39136 58562\n7962 11922\n36092 53962\n3283 4946\n10510 15768\n77609 100000\n27959 41775\n28481 42545\n8721 13067\n32342 48365\n83067 100000\n637 972\n91675 100000\n25778 38510\n31459 47037\n86252 100000\n41739 62452\n81612 100000\n57341 85985\n83764 100000\n42208 63149\n18221 27265\n88743 100000\n28010 41854\n80099 100000\n8553 12804\n93820 100000\n26604 39765\n13420 20110\n2989 4504\n39556 59203\n53557 80276\n83247 100000\n82196 100000\n11690 17530\n23961 35836\n34704 51888\n38952 58288\n81571 100000\n47958 71822\n59134 88677\n39720 59454\n32816 49068\n42386 63428\n96580 100000\n31152 46579\n81796 100000\n39078 58477\n43958 65787\n70475 100000\n81413 100000\n26265 39263\n35497 53066\n39449 59041\n3778 5680\n95334 100000\n13032 19533\n86858 100000\n81514 100000\n28107 41999\n9152 13730\n60832 91250\n7453 11156\n4446 6680\n4031 6075\n26115 39029\n71558 100000\n80980 100000\n85015 100000\n9241 13870\n51948 77854\n13812 20687\n46961 70309\n52050 78006\n81647 100000\n26406 39471\n17058 25516\n75376 100000\n31264 46745\n79049 100000\n73673 100000\n18696 27967\n2840 4283\n84074 100000\n97064 100000\n58513 87767\n84218 100000\n82825 100000\n25015 37369\n7309 10940\n57851 86769\n54376 81512\n95174 100000\n40829 61106\n17126 25619\n67452 100000\n66366 99564\n61011 91512\n77112 100000\n80856 100000\n14980 22426\n43911 65720\n78003 100000\n87035 100000\n78238 100000\n36273 54229\n7407 11087\n25512 38115\n19530 29192\n9376 14063\n4893 7357\n13431 20128\n67237 100000\n91268 100000\n71866 100000\n43477 65051\n94008 100000\n70430 100000\n16932 25326\n13534 20279\n5491 8231\n39717 59450\n25728 38436\n69138 100000\n29328 43810\n88858 100000\n16904 25285\n92376 100000\n27143 40561\n7929 11872\n51583 77292\n9 14\n84862 100000\n98756 100000\n76203 100000\n93174 100000\n3008 4534\n76402 100000\n5943 8893\n7216 10800\n83431 100000\n63505 95248\n9827 14743\n35033 52371\n41949 62757\n81628 100000\n87660 100000\n52272 78347\n56706 85002\n55645 83418\n89939 100000\n20840 31155\n96426 100000\n33137 49546\n5558 8333\n38582 57730\n12264 18393\n64197 96287\n91753 100000\n57939 86901\n45124 67530\n20899 31238\n52885 79261\n67390 100000\n56010 83963\n73672 100000\n81162 100000\n26078 38971\n62621 93937\n65938 98908\n99729 100000\n74842 100000\n92781 100000\n3803 5721\n74579 100000\n10406 15614\n6206 9287\n65912 98868\n39760 59509\n81436 100000\n66001 99006\n39427 59008\n77695 100000\n10809 16213\n47603 71288\n63877 95805\n31002 46350\n56394 84541\n79156 100000\n96278 100000\n72614 100000\n16966 25377\n58297 87438\n51048 76480\n72565 100000\n87801 100000\n68593 100000\n43669 65348\n13070 19588\n64533 96787\n6838 10231\n87122 100000\n29974 44800\n64538 96795\n32007 47864\n73398 100000\n12722 19072\n91387 100000\n29249 43702\n84238 100000\n57407 86082\n40019 59890\n86835 100000\n31269 46752\n10555 15837\n59691 89527\n85065 100000\n55886 83776\n94249 100000\n80461 100000\n99693 100000\n82982 100000\n70782 100000\n5559 8334\n76330 100000\n7515 11260\n58055 87074\n72603 100000\n19436 29065\n60437 90660\n69257 100000\n90543 100000\n65858 98784\n11887 17825\n85884 100000\n8368 12526\n15103 22608\n92355 100000\n87768 100000\n38195 57134\n85237 100000\n55313 82922\n48477 72590\n73329 100000\n60552 90831\n10974 16459\n30276 45255\n64389 96568\n67623 100000\n46586 69749\n70663 100000\n39389 58950\n14398 21564\n14121 21148\n31001 46349\n44588 66733\n74928 100000\n74642 100000\n85143 100000\n81393 100000\n89079 100000\n42637 63795\n81268 100000\n82418 100000\n74913 100000\n748 1140\n44987 67319\n39109 58522\n81619 100000\n63714 95567\n61049 91571\n58272 87398\n68698 100000\n51489 77150\n60277 90420\n32896 49183\n32477 48557\n79707 100000\n41477 62071\n15705 23523\n60208 90313\n5697 8534\n92808 100000\n93565 100000\n82511 100000\n73219 100000\n75961 100000\n95036 100000\n62453 93688\n27527 41127\n87705 100000\n25090 37483\n69605 100000\n60817 91227\n38174 57101\n37298 55770\n28151 42066\n97462 100000\n76587 100000\n35370 52874\n2121 3197\n11073 16601\n68417 100000\n11194 16783\n55923 83835\n33984 50789\n77302 100000\n64140 96201\n79134 100000\n33545 50140\n45423 67985\n78211 100000\n55571 83306\n78766 100000\n49832 74658\n26144 39073\n33377 49893\n17416 26059\n58700 88044\n75682 100000\n75999 100000\n1842 2770\n28686 42860\n86419 100000\n12602 18894\n98062 100000\n25239 37705\n41242 61730\n32366 48399\n64669 96994\n13912 20833\n26386 39442\n82266 100000\n23942 35808\n32140 48062\n73627 100000\n452 682\n29279 43743\n44013 65868\n23746 35506\n54595 81838\n20390 30494\n50932 76306\n194 293\n63689 95529\n65882 98824\n48162 72128\n13030 19530\n2231 3364\n59614 89416\n50416 75533\n56304 84404\n96206 100000\n44333 66349\n70167 100000\n23109 34558\n9471 14210\n87932 100000\n97249 100000\n10864 16289\n12402 18598\n20366 30457\n17184 25710\n93858 100000\n368 552\n36870 55123\n73863 100000\n67695 100000\n30619 45767\n1901 2862\n16498 24678\n98520 100000\n19302 28861\n80297 100000\n41495 62097\n50144 75123\n42324 63333\n76864 100000\n8909 13352\n20481 30635\n8776 13151\n26643 39819\n8472 12681\n54623 81883\n15712 23534\n1355 2058\n11752 17619\n45143 67558\n16541 24748\n53837 80694\n94387 100000\n15381 23025\n65824 98736\n72394 100000\n87764 100000\n61626 92443\n50021 74936\n43365 64881\n17969 26894\n42919 64219\n3655 5490\n44546 66664\n88288 100000\n67759 100000\n40853 61143\n72536 100000\n57245 85838\n42779 64010\n34199 51117\n69055 100000\n4843 7285\n16564 24780\n13935 20869\n523 794\n45716 68429\n74143 100000\n58986 88459\n20141 30121\n47609 71296\n45849 68630\n57629 86427\n51174 76666\n36848 55090\n49008 73395\n95812 100000\n10073 15113\n15719 23543\n90330 100000\n30675 45853\n44386 66427\n3533 5318\n36336 54330\n32308 48314\n70511 100000\n8085 12104\n62492 93743\n85503 100000\n59479 89208\n79740 100000\n41883 62662\n661 1010\n22554 33718\n57944 86910\n6495 9707\n2902 4375\n61046 91566\n70173 100000\n9448 14174\n82122 100000\n83399 100000\n2253 3397\n9929 14893\n5970 8935\n78985 100000\n99322 100000\n20205 30210\n68664 100000\n20554 30742\n32219 48183\n89242 100000\n49701 74464\n52336 78442\n64970 97439\n57254 85852\n65375 98059\n11227 16830\n57997 86989\n22394 33467\n30981 46319\n6851 10248\n47372 70938\n39605 59274\n45825 68592\n83755 100000\n62122 93205\n80117 100000\n33921 50687\n5732 8588\n71956 100000\n95374 100000\n7338 10985\n76595 100000\n12429 18638\n72344 100000\n39755 59502\n13711 20534\n50115 75079\n30223 45170\n47025 70403\n56770 85098\n35685 53349\n7759 11612\n40865 61160\n50830 76144\n25942 38759\n67620 100000\n21182 31670\n67522 100000\n48885 73206\n77299 100000\n87315 100000\n10999 16493\n46738 69978\n64652 96968\n22045 32949\n29763 44479\n34437 51474\n2608 3934\n81186 100000\n6244 9343\n53467 80137\n45207 67655\n63749 95616\n62385 93598\n47586 71265\n29760 44473\n51197 76701\n11573 17349\n86757 100000\n95935 100000\n49405 74017\n59857 89777\n94195 100000\n33189 49621\n19655 29386\n68853 100000\n44576 66711\n884 1350\n51458 77102\n23884 35718\n67274 100000\n63130 94694\n88543 100000\n8618 12902\n13089 19617\n68508 100000\n50616 75834\n54633 81900\n40200 60164\n83717 100000\n55115 82640\n28754 42960\n5866 8777\n87397 100000\n25200 37647\n32180 48123\n92444 100000\n89843 100000\n51737 77526\n93129 100000\n82398 100000\n74822 100000\n54514 81716\n97101 100000\n57918 86870\n63597 95387\n30151 45059\n49582 74288\n46621 69803\n51977 77896\n37051 55403\n9495 14242\n40257 60241\n54963 82406\n28779 42998\n65006 97496\n66098 99157\n61938 92921\n48717 72960\n5833 8733\n43251 64714\n78063 100000\n57904 86848\n23238 34748\n41508 62116\n36489 54559\n74641 100000\n19241 28770\n55858 83735\n3327 5006\n76654 100000\n20177 30173\n44625 66787\n85852 100000\n98932 100000\n3954 5958\n94068 100000\n37510 56087\n65328 97986\n36452 54506\n19361 28944\n57991 86980\n73373 100000\n62521 93787\n76117 100000\n15916 23831\n26737 39956\n2299 3467\n25505 38107\n44656 66829\n83298 100000\n87964 100000\n64324 96474\n42527 63626\n89216 100000\n6582 9840\n43072 64440\n59685 89518\n40993 61355\n87939 100000\n82427 100000\n30639 45798\n93112 100000\n35563 53161\n64130 96187\n94296 100000\n87906 100000\n91864 100000\n72643 100000\n69627 100000\n49133 73593\n51315 76888\n9675 14511\n91655 100000\n4768 7173\n51159 76645\n4664 7012\n69441 100000\n13969 20923\n85825 100000\n70892 100000\n90974 100000\n28620 42756\n76761 100000\n22219 33203\n22994 34376\n88086 100000\n79106 100000\n54973 82421\n70542 100000\n14748 22078\n75694 100000\n48069 71983\n5046 7579\n50422 75542\n15646 23432\n79806 100000\n68331 100000\n84959 100000\n83608 100000\n22766 34044\n49462 74102\n71386 100000\n94458 100000\n46945 70286\n59566 89343\n77915 100000\n65212 97813\n4887 7346\n95013 100000\n77497 100000\n86908 100000\n30111 45003\n22770 34049\n20922 31273\n72892 100000\n91851 100000\n58489 87729\n5397 8096\n60356 90536\n61876 92827\n80365 100000\n5909 8844\n68808 100000\n16365 24494\n49520 74190\n90044 100000\n76545 100000\n31274 46759\n56821 85175\n33771 50467\n18814 28143\n47725 71469\n16638 24888\n28155 42074\n13369 20037\n54731 82052\n45135 67547\n53368 79986\n44755 66975\n48394 72466\n55707 83513\n91436 100000\n30385 45420\n89995 100000\n8701 13035\n42792 64026\n49181 73667\n34504 51585\n94780 100000\n32001 47852\n49234 73753\n27532 41135\n15590 23344\n17916 26810\n75460 100000\n6180 9250\n59060 88565\n97939 100000\n49166 73644\n70676 100000\n63069 94603\n86114 100000\n33680 50338\n99870 100000\n5535 8296\n40383 60437\n74868 100000\n65276 97910\n10582 15879\n61528 92304\n6209 9292\n5771 8644\n49442 74073\n42837 64093\n5213 7829\n905 1379\n98154 100000\n11817 17715\n97198 100000\n81280 100000\n32339 48362\n9132 13701\n46054 68942\n55638 83408\n7311 10942\n31242 46712\n71526 100000\n13835 20721\n52657 78924\n30440 45501\n41360 61908\n42077 62951\n97005 100000\n87889 100000\n27234 40689\n10868 16295\n28613 42743\n38705 57917\n45673 68360\n79265 100000\n75154 100000\n42720 63921\n85438 100000\n86234 100000\n9759 14643\n84822 100000\n538 817\n43949 65776\n33422 49953\n10405 15612\n87673 100000\n68909 100000\n34403 51422\n89063 100000\n57803 86700\n16075 24076\n89814 100000\n1424 2159\n8018 12003\n44777 67008\n80591 100000\n73664 100000\n20609 30818\n39447 59039\n11257 16878\n79225 100000\n66444 99687\n53806 80650\n39241 58734\n16590 24819\n51305 76870\n3013 4541\n35349 52846\n18637 27876\n64853 97268\n45022 67375\n26295 39307\n21832 32642\n94778 100000\n52827 79177\n83148 100000\n32040 47911\n49769 74566\n11903 17849\n56074 84059\n22294 33315\n7478 11199\n66018 99032\n74088 100000\n14216 21299\n6902 10322\n62566 93856\n19816 29620\n1521 2306\n17694 26468\n40597 60761\n16480 24654\n11921 17877\n16727 25022\n40611 60781\n64812 97206\n24990 37335\n61993 93005\n68940 100000\n82059 100000\n79831 100000\n5095 7652\n92641 100000\n57562 86322\n30250 45212\n60285 90430\n62136 93228\n88193 100000\n62918 94385\n65546 98319\n19225 28745\n25580 38212\n28979 43302\n80770 100000\n42896 64187\n23634 35338\n72827 100000\n75263 100000\n33538 50128\n98725 100000\n86594 100000\n50784 76072\n14368 21519\n92860 100000\n89346 100000\n68146 100000\n58435 87651\n30842 46109\n54615 81872\n37176 55590\n91679 100000\n81336 100000\n34697 51876\n61582 92381\n29643 44291\n96957 100000\n133 200\n86889 100000\n44999 67338\n42771 63999\n48350 72406\n31183 46621\n37270 55732\n25060 37437\n30740 45960\n66605 99941\n16381 24517\n52014 77953\n43177 64602\n40510 60628\n68324 100000\n8726 13075\n75021 100000\n88513 100000\n45601 68253\n41374 61928\n75238 100000\n66700 100000\n10574 15868\n27345 40855\n28617 42751\n837 1270\n71618 100000\n77638 100000\n89083 100000\n4203 6329\n26405 39469\n35761 53460\n26162 39099\n52501 78689\n91164 100000\n91382 100000\n97406 100000\n42546 63655\n20194 30195\n77354 100000\n83351 100000\n71779 100000\n57871 86797\n26760 39990\n80717 100000\n82663 100000\n67674 100000\n90762 100000\n75430 100000\n99382 100000\n25072 37457\n97400 100000\n29007 43345\n28841 43097\n32151 48078\n99593 100000\n52288 78374\n14855 22243\n44829 67080\n14777 22119\n4172 6281\n48336 72382\n56947 85371\n67500 100000\n55628 83394\n19560 29242\n68453 100000\n81214 100000\n75466 100000\n64030 96035\n38976 58326\n45035 67395\n73562 100000\n63944 95909\n54548 81769\n83706 100000\n66153 99242\n82303 100000\n6870 10276\n70138 100000\n27195 40633\n18339 27439\n59167 88728\n2492 3759\n98793 100000\n11260 16882\n19626 29340\n70198 100000\n19490 29140\n35564 53163\n26966 40299\n89328 100000\n67424 100000\n73302 100000\n19073 28516\n70152 100000\n45229 67690\n99698 100000\n8398 12571\n87960 100000\n30389 45426\n20968 31346\n95076 100000\n67468 100000\n52257 78321\n22203 33184\n75747 100000\n59923 89878\n70420 100000\n32643 48807\n6539 9776\n26680 39870\n76789 100000\n46587 69751\n281 424\n53268 79825\n63547 95313\n61259 91906\n69567 100000\n70902 100000\n39843 59634\n79827 100000\n69121 100000\n4135 6224\n99204 100000\n18786 28103\n11537 17298\n15046 22523\n37696 56369\n10287 15441\n88557 100000\n81032 100000\n69869 100000\n32229 48198\n4147 6246\n16378 24513\n71966 100000\n66547 99850\n30038 44895\n55083 82589\n6600 9870\n41499 62102\n19731 29499\n11327 16983\n64578 96858\n45779 68522\n38311 57311\n76127 100000\n31886 47679\n17005 25435\n82482 100000\n8709 13048\n53965 80890\n74742 100000\n16243 24322\n57500 86227\n21745 32512\n19751 29528\n12251 18376\n1813 2726\n42400 63448\n19016 28435\n39284 58801\n77202 100000\n59392 89072\n82530 100000\n82243 100000\n36383 54404\n51666 77417\n58288 87424\n4279 6433\n75662 100000\n51018 76436\n59718 89570\n98774 100000\n41943 62748\n24132 36090\n44573 66705\n28507 42580\n88326 100000\n11549 17315\n73582 100000\n28430 42477\n96770 100000\n43330 64828\n59913 89863\n26409 39475\n24042 35958\n82261 100000\n39925 59756\n10909 16359\n48579 72751\n35675 53332\n13734 20567\n76220 100000\n72602 100000\n21401 31990\n5788 8668\n23589 35272\n97734 100000\n41361 61910\n67650 100000\n2244 3384\n88570 100000\n68071 100000\n50074 75014\n34768 51983\n41029 61412\n19578 29269\n54838 82214\n84035 100000\n20838 31153\n70308 100000\n25190 37634\n82716 100000\n75427 100000\n24425 36510\n62005 93020\n27153 40576\n56144 84165\n66632 99979\n90716 100000\n99611 100000\n73445 100000\n64424 96614\n41639 62311\n37542 56133\n23862 35684\n3819 5747\n75620 100000\n52983 79409\n78534 100000\n22386 33455\n94744 100000\n7504 11242\n69260 100000\n45773 68513\n19612 29320\n80668 100000\n15375 23016\n58939 88392\n17979 26908\n80893 100000\n67472 100000\n9612 14410\n92547 100000\n22286 33303\n76462 100000\n55564 83295\n28251 42222\n9400 14098\n36219 54148\n52531 78735\n68280 100000\n19134 28614\n67493 100000\n10577 15872\n77206 100000\n93694 100000\n15618 23390\n74685 100000\n10185 15279\n96510 100000\n11853 17771\n28153 42070\n84096 100000\n19785 29574\n47120 70550\n46389 69448\n11192 16779\n64624 96930\n25233 37696\n58071 87101\n12691 19025\n83237 100000\n90287 100000\n33707 50376\n13992 20957\n61455 92192\n37612 56238\n5737 8596\n95586 100000\n22823 34123\n80747 100000\n12707 19047\n96850 100000\n52650 78912\n26022 38885\n74094 100000\n58942 88396\n32930 49233\n51819 77661\n8541 12786\n64435 96628\n68321 100000\n98738 100000\n37353 55854\n32751 48968\n96616 100000\n86807 100000\n43440 64999\n10331 15502\n60966 91445\n65803 98707\n2994 4512\n8696 13028\n26717 39927\n31228 46690\n5186 7792\n64969 97437\n45264 67747\n97367 100000\n45354 67879\n15312 22927\n93417 100000\n24858 37145\n44169 66101\n41287 61799\n61165 91757\n54793 82147\n75878 100000\n89917 100000\n57664 86476\n50058 74991\n1109 1695\n249 378\n9725 14589\n29486 44045\n38727 57949\n97484 100000\n64695 97033\n81038 100000\n9096 13646\n85016 100000\n80096 100000\n54770 82112\n983 1502\n44975 67300\n55342 82967\n9298 13951\n58829 88230\n14295 21418\n39574 59230\n85495 100000\n35852 53592\n99189 100000\n39947 59787\n43259 64724\n37585 56198\n45707 68414\n37512 56090\n98022 100000\n86085 100000\n12486 18720\n69545 100000\n33619 50251\n20288 30341\n85035 100000\n71215 100000\n94693 100000\n79487 100000\n70326 100000\n2583 3893\n46206 69167\n58113 87163\n34333 51318\n93240 100000\n84288 100000\n23783 35563\n90247 100000\n5333 8002\n55306 82914\n53253 79805\n38606 57767\n58556 87830\n79080 100000\n32994 49329\n22937 34293\n93927 100000\n81331 100000\n96276 100000\n62373 93583\n57528 86272\n43941 65766\n26623 39790\n67348 100000\n86299 100000\n75541 100000\n41869 62640\n76109 100000\n52032 77979\n52489 78672\n65886 98830\n55417 83074\n58659 87981\n52771 79095\n91936 100000\n31368 46900\n88824 100000\n74211 100000\n85926 100000\n97070 100000\n80034 100000\n70681 100000\n31858 47633\n72777 100000\n79024 100000\n91319 100000\n21027 31438\n90826 100000\n58755 88123\n15560 23301\n8828 13230\n88372 100000\n4580 6886\n70397 100000\n6628 9917\n52593 78832\n6349 9504\n4482 6738\n30477 45557\n88995 100000\n19661 29396\n7359 11016\n94682 100000\n79910 100000\n94432 100000\n19115 28582\n35134 52519\n93376 100000\n63218 94825\n20939 31299\n22747 34016\n65198 97793\n16891 25266\n46443 69536\n32373 48409\n67837 100000\n74987 100000\n67553 100000\n31967 47799\n588 894\n5863 8773\n22853 34166\n47220 70699\n21816 32620\n62340 93535\n8588 12853\n20112 30074\n43714 65413\n93575 100000\n93391 100000\n48281 72303\n18000 26943\n5976 8944\n44022 65880\n20407 30521\n13839 20727\n32104 48009\n10102 15156\n63800 95690\n28380 42406\n78017 100000\n98298 100000\n87045 100000\n389 587\n56873 85255\n82936 100000\n30650 45813\n43705 65399\n85865 100000\n80441 100000\n34973 52280\n56099 84096\n63205 94805\n90114 100000\n85385 100000\n45469 68056\n17629 26375\n9948 14922\n67956 100000\n57628 86425\n23753 35518\n20989 31377\n70869 100000\n36746 54931\n37449 55997\n87238 100000\n94868 100000\n6422 9610\n28513 42589\n96646 100000\n16652 24909\n64164 96236\n5344 8018\n21329 31885\n35347 52842\n93476 100000\n26382 39435\n24775 37025\n52498 78684\n41465 62053\n25713 38415\n84259 100000\n19128 28605\n26602 39763\n59434 89140\n7349 11001\n91400 100000\n70104 100000\n29814 44553\n23443 35059\n16886 25261\n57303 85929\n65031 97536\n73134 100000\n37358 55861\n80501 100000\n97726 100000\n54866 82256\n27304 40797\n17754 26558\n20924 31275\n13512 20246\n45092 67480\n83659 100000\n94202 100000\n93137 100000\n48210 72197\n33959 50751\n23725 35475\n75589 100000\n86406 100000\n2282 3442\n61469 92209\n32028 47896\n2181 3287\n69386 100000\n37909 56700\n47493 71121\n35144 52532\n14971 22412\n64882 97311\n69976 100000\n42721 63922\n72628 100000\n36031 53861\n21808 32607\n1159 1773\n17172 25691\n14374 21528\n91194 100000\n60997 91490\n77205 100000\n76766 100000\n23233 34741\n50166 75154\n32092 47990\n93716 100000\n37921 56715\n97805 100000\n17900 26786\n18733 28025\n37220 55658\n41652 62329\n88213 100000\n33727 50408\n79815 100000\n64866 97287\n44971 67294\n30306 45300\n8076 12092\n64209 96303\n92803 100000\n56102 84100\n33375 49890\n79866 100000\n88373 100000\n67169 100000\n50069 75005\n44068 65948\n56851 85223\n13581 20350\n23922 35778\n66533 99829\n23271 34799\n95552 100000\n31737 47462\n50181 75176\n52125 78124\n68669 100000\n37589 56204\n16715 25004\n33116 49514\n64113 96163\n27066 40449\n42694 63881\n16020 23991\n32532 48643\n73943 100000\n86286 100000\n29959 44777\n4423 6646\n7637 11430\n83556 100000\n83929 100000\n44867 67135\n21954 32814\n12895 19331\n91825 100000\n12901 19340\n14202 21276\n72257 100000\n92599 100000\n97775 100000\n95499 100000\n64569 96843\n83670 100000\n53207 79737\n33386 49907\n43939 65764\n49700 74462\n68265 100000\n42815 64060\n49046 73455\n78924 100000\n23133 34592\n50783 76071\n95022 100000\n35710 53388\n90007 100000\n81917 100000\n82624 100000\n53892 80780\n71022 100000\n27223 40673\n70990 100000\n17338 25942\n73618 100000\n71165 100000\n87228 100000\n86974 100000\n28809 43044\n40109 60026\n5404 8107\n52837 79191\n81528 100000\n90442 100000\n22068 32985\n85538 100000\n79331 100000\n43973 65808\n29124 43511\n28232 42195\n83924 100000\n70631 100000\n76380 100000\n16919 25308\n49703 74467\n484 731\n45892 68697\n11469 17199\n21127 31588\n25852 38628\n64731 97088\n97000 100000\n83761 100000\n69472 100000\n78374 100000\n22454 33564\n70248 100000\n44044 65913\n83223 100000\n53365 79980\n4395 6604\n27104 40505\n25504 38106\n16535 24741\n32202 48159\n34856 52107\n34367 51366\n29563 44160\n86164 100000\n91203 100000\n79445 100000\n65948 98924\n43069 64435\n51893 77768\n59587 89374\n30693 45881\n71457 100000\n89421 100000\n30554 45670\n88090 100000\n66661 100000\n17985 26918\n97630 100000\n31467 47050\n2487 3753\n60199 90300\n12586 18871\n55274 82870\n15066 22554\n68427 100000\n81306 100000\n62944 94423\n14100 21117\n19903 29756\n16022 23995\n76141 100000\n15704 23521\n94863 100000\n58285 87420\n88540 100000\n25107 37512\n83578 100000\n49677 74426\n78387 100000\n29748 44456\n48792 73066\n59994 89993\n9930 14894\n8356 12508\n78970 100000\n14859 22250\n60335 90507\n183 276\n57998 86991\n58022 87026\n72430 100000\n97689 100000\n6055 9065\n69834 100000\n14848 22232\n8663 12975\n17080 25550\n49745 74529\n50248 75279\n3480 5243\n64607 96903\n72995 100000\n80886 100000\n85326 100000\n58327 87486\n14865 22258\n25911 38714\n53914 80817\n50187 75184\n90624 100000\n30212 45156\n65860 98788\n48409 72492\n45912 68728\n85369 100000\n95856 100000\n97593 100000\n9791 14688\n32820 49073\n79245 100000\n43910 65719\n1287 1954\n18054 27019\n11181 16759\n23329 34887\n14432 21617\n86723 100000\n58223 87321\n11858 17777\n45265 67748\n88209 100000\n47547 71207\n15184 22731\n51981 77902\n39649 59343\n69992 100000\n80226 100000\n50957 76343\n56358 84489\n64568 96841\n84547 100000\n32451 48521\n48228 72225\n95708 100000\n26288 39296\n17984 26916\n16499 24680\n94201 100000\n99646 100000\n32931 49234\n96669 100000\n99460 100000\n1749 2634\n73699 100000\n31244 46715\n6370 9537\n54141 81163\n34450 51497\n53796 80637\n85737 100000\n95270 100000\n52158 78169\n55559 83286\n84472 100000\n43324 64822\n10445 15668\n61260 91908\n89388 100000\n44228 66186\n59469 89195\n32478 48558\n65022 97520\n27194 40632\n46612 69790\n23606 35297\n41660 62341\n172 257\n64914 97361\n77455 100000\n50861 76195\n36817 55039\n58586 87872\n55656 83433\n24267 36288\n96523 100000\n21918 32764\n5968 8933\n74134 100000\n96996 100000\n40395 60458\n73406 100000\n36028 53857\n56705 85000\n70143 100000\n24621 36803\n30309 45304\n41545 62170\n75433 100000\n18073 27048\n42715 63913\n72337 100000\n86541 100000\n48578 72749\n14901 22312\n42822 64070\n85591 100000\n43680 65364\n27813 41555\n40088 59995\n14405 21574\n13278 19896\n97753 100000\n7305 10934\n62552 93834\n24949 37277\n27658 41325\n86415 100000\n19226 28747\n2045 3081\n89629 100000\n51704 77475\n95659 100000\n20608 30817\n16848 25199\n85745 100000\n67728 100000\n42490 63575\n25777 38509\n48574 72743\n14193 21262\n5267 7906\n60343 90519\n38956 58295\n71468 100000\n37407 55934\n15411 23073\n65901 98851\n70898 100000\n78530 100000\n89504 100000\n37005 55328\n39134 58559\n33879 50627\n18763 28068\n5393 8090\n50080 75024\n13021 19517\n53214 79749\n28080 41957\n9335 14006\n2764 4168\n65066 97586\n17025 25464\n26325 39354\n28668 42831\n31441 47012\n42469 63544\n23775 35550\n66657 100000\n2491 3757\n25659 38329\n42166 63092\n14361 21510\n35727 53412\n42671 63849\n45935 68763\n59435 89142\n37092 55466\n84745 100000\n57080 85575\n56865 85244\n86806 100000\n29822 44566\n19880 29723\n77218 100000\n84391 100000\n871 1329\n92669 100000\n6847 10243\n88018 100000\n36024 53852\n3846 5787\n9064 13600\n6047 9052\n84966 100000\n7107 10628\n34888 52157\n86308 100000\n93104 100000\n35004 52329\n62204 93332\n24431 36519\n40755 60994\n7655 11459\n91053 100000\n55484 83173\n63345 95021\n72641 100000\n59405 89092\n99582 100000\n30773 46008\n80918 100000\n14827 22196\n80161 100000\n43115 64509\n34322 51302\n44976 67302\n52241 78295\n16747 25053\n72857 100000\n82253 100000\n29940 44751\n21460 32083\n14724 22044\n67283 100000\n80809 100000\n10773 16162\n41979 62801\n26697 39895\n26977 40314\n83667 100000\n81380 100000\n64179 96260\n50587 75795\n93519 100000\n42298 63293\n32572 48702\n14212 21292\n99777 100000\n15565 23309\n9467 14204\n3163 4765\n30237 45192\n12983 19463\n84496 100000\n76751 100000\n44620 66779\n80574 100000\n52828 79178\n27616 41265\n11419 17121\n29340 43827\n61566 92360\n3109 4689\n74841 100000\n3996 6025\n13243 19843\n14828 22198\n46045 68928\n29739 44443\n47560 71227\n42226 63176\n15835 23705\n65247 97870\n77190 100000\n26889 40179\n32440 48504\n61816 92733\n73155 100000\n73494 100000\n87144 100000\n55142 82678\n58304 87448\n15021 22486\n95532 100000\n20040 29962\n15115 22626\n77874 100000\n32862 49130\n38185 57118\n93262 100000\n99123 100000\n67940 100000\n92043 100000\n70274 100000\n11020 16525\n71177 100000\n36509 54589\n37891 56670\n56473 84663\n6137 9190\n93402 100000\n85751 100000\n91516 100000\n91901 100000\n60284 90429\n98273 100000\n26528 39654\n73753 100000\n71844 100000\n86608 100000\n62720 94079\n76787 100000\n3365 5062\n37855 56613\n53264 79819\n17453 26111\n79289 100000\n36281 54241\n12 18\n17254 25817\n40721 60940\n94502 100000\n15067 22556\n20849 31170\n83257 100000\n2813 4243\n30649 45812\n88219 100000\n76047 100000\n32124 48037\n86303 100000\n72505 100000\n54823 82192\n22185 33155\n55037 82522\n75707 100000\n22119 33062\n86284 100000\n54471 81653\n59755 89625\n32400 48448\n83420 100000\n11166 16734\n49497 74154\n73490 100000\n74676 100000\n60563 90848\n78280 100000\n34240 51179\n10546 15822\n41395 61957\n61021 91527\n83259 100000\n13752 20594\n14285 21404\n29176 43591\n62375 93586\n66131 99210\n99853 100000\n8749 13108\n58793 88177\n63174 94760\n41586 62230\n65175 97754\n97176 100000\n57075 85568\n36518 54603\n44381 66419\n15404 23061\n76879 100000\n4888 7348\n45696 68398\n7335 10980\n89452 100000\n58832 88233\n13920 20846\n57121 85638\n2242 3381\n88044 100000\n675 1029\n81450 100000\n35956 53748\n91409 100000\n13317 19956\n86862 100000\n29423 43949\n15670 23470\n54579 81814\n52708 79003\n70946 100000\n9616 14416\n47881 71707\n74601 100000\n72037 100000\n34909 52187\n56977 85413\n39297 58818\n95823 100000\n89861 100000\n13844 20734\n3650 5484\n53469 80140\n94931 100000\n50794 76090\n63176 94764\n48328 72371\n33161 49579\n96224 100000\n81377 100000\n47087 70497\n34634 51783\n15566 23310\n26284 39292\n55498 83191\n21687 32421\n42707 63901\n22686 33918\n49726 74501\n19684 29429\n74093 100000\n33755 50443\n94781 100000\n2092 3156\n34594 51722\n10677 16017\n77003 100000\n78859 100000\n70885 100000\n35169 52571\n26767 39999\n92676 100000\n81836 100000\n18044 27007\n88784 100000\n47242 70733\n42003 62836\n82372 100000\n88115 100000\n15929 23850\n90295 100000\n43136 64540\n1620 2454\n18100 27088\n19487 29134\n82780 100000\n7088 10601\n53601 80346\n81781 100000\n96610 100000\n6194 9269\n14090 21100\n63676 95511\n23503 35155\n61771 92662\n34636 51786\n48904 73237\n71724 100000\n26414 39483\n32736 48942\n49156 73628\n80891 100000\n79748 100000\n94308 100000\n22465 33579\n68654 100000\n43333 64832\n15263 22853\n93467 100000\n9334 14005\n96267 100000\n16073 24072\n19793 29585\n58035 87042\n78790 100000\n32075 47965\n42921 64222\n70759 100000\n20986 31371\n57644 86447\n92041 100000\n38226 57181\n65248 97871\n533 809\n26714 39922\n74429 100000\n69164 100000\n60869 91306\n41191 61656\n24327 36374\n37402 55925\n6433 9624\n91146 100000\n22807 34101\n28366 42387\n20693 30943\n33445 49991\n82114 100000\n35249 52691\n98523 100000\n42421 63477\n33587 50205\n3262 4918\n21747 32515\n4120 6201\n83062 100000\n55690 83486\n15735 23566\n56849 85220\n37516 56096\n48723 72967\n88080 100000\n67075 100000\n70437 100000\n62664 93995\n53876 80755\n48245 72253\n15473 23165\n14705 22014\n38008 56842\n43636 65301\n99806 100000\n85916 100000\n48273 72291\n39314 58843\n44473 66554\n26042 38917\n79243 100000\n63905 95847\n44887 67165\n67136 100000\n77488 100000\n21389 31973\n98302 100000\n24276 36301\n20582 30784\n17084 25556\n73830 100000\n54785 82135\n60427 90643\n82895 100000\n89677 100000\n8921 13374\n59444 89156\n96684 100000\n31454 47030\n58111 87160\n67632 100000\n53845 80707\n54555 81780\n19285 28836\n67544 100000\n56152 84178\n8013 11995\n73092 100000\n56886 85277\n55737 83562\n7651 11452\n67625 100000\n74256 100000\n21467 32093\n33898 50655\n77391 100000\n87988 100000\n12410 18608\n33762 50455\n94193 100000\n26419 39491\n87339 100000\n57010 85465\n94642 100000\n42506 63597\n46422 69501\n14964 22403\n19404 29016\n18958 28356\n77965 100000\n20226 30248\n38863 58149\n18504 27687\n96653 100000\n33969 50766\n71503 100000\n62282 93448\n43582 65215\n67331 100000\n93513 100000\n52736 79043\n44690 66879\n50557 75750\n8940 13406\n90400 100000\n3450 5195\n23113 34563\n54105 81108\n70472 100000\n29608 44229\n89025 100000\n73481 100000\n80954 100000\n56927 85339\n84921 100000\n69794 100000\n96820 100000\n19199 28709\n68407 100000\n15572 23319\n52598 78839\n93084 100000\n12985 19465\n45616 68275\n26179 39127\n91677 100000\n90228 100000\n73529 100000\n97167 100000\n16529 24733\n96994 100000\n56504 84709\n74560 100000\n84845 100000\n94605 100000\n66723 100000\n11013 16515\n17768 26581\n71827 100000\n56166 84200\n72009 100000\n51133 76608\n30188 45119\n91158 100000\n57049 85527\n51089 76545\n37477 56037\n89656 100000\n48535 72682\n53122 79617\n91701 100000\n79891 100000\n13787 20648\n16622 24866\n3700 5563\n14684 21981\n18392 27521\n29039 43393\n86963 100000\n50215 75232\n54482 81669\n7264 10873\n24116 36067\n41753 62472\n8330 12470\n77296 100000\n47880 71705\n94979 100000\n61115 91670\n11786 17673\n15038 22513\n5321 7983\n16497 24677\n68462 100000\n2905 4379\n15063 22550\n80434 100000\n78882 100000\n90678 100000\n85415 100000\n47899 71736\n5088 7641\n80734 100000\n87823 100000\n98721 100000\n52505 78695\n12362 18539\n28131 42034\n49636 74365\n59308 88941\n64934 97389\n95901 100000\n91340 100000\n31477 47065\n72631 100000\n14781 22124\n1491 2257\n24140 36103\n89381 100000\n7669 11481\n17595 26321\n30866 46143\n83919 100000\n80154 100000\n63735 95596\n27986 41815\n2884 4346\n90902 100000\n6618 9899\n43654 65326\n51245 76776\n81344 100000\n88022 100000\n97719 100000\n17785 26604\n33537 50127\n8926 13383\n32519 48621\n84388 100000\n7896 11821\n57430 86118\n47363 70924\n47824 71619\n10027 15043\n55506 83204\n58936 88388\n18070 27044\n24127 36082\n38329 57337\n51853 77713\n95090 100000\n65027 97528\n87868 100000\n77318 100000\n524 796\n91038 100000\n94493 100000\n59938 89901\n28964 43282\n16158 24193\n5470 8200\n63437 95155\n54746 82076\n14807 22162\n24676 36879\n11741 17603\n93236 100000\n25356 37883\n5677 8506\n85469 100000\n80390 100000\n20835 31148\n7806 11685\n20927 31280\n67730 100000\n88700 100000\n72367 100000\n80594 100000\n38846 58125\n74850 100000\n16202 24259\n63296 94945\n92762 100000\n38908 58218\n74197 100000\n43963 65792\n80989 100000\n2782 4197\n22352 33402\n87423 100000\n89830 100000\n21691 32429\n50319 75389\n26088 38985\n29256 43711\n52418 78563\n47464 71078\n39842 59633\n24623 36806\n39258 58763\n48064 71977\n76472 100000\n14524 21755\n59505 89247\n20561 30754\n65524 98283\n69924 100000\n15974 23919\n50500 75664\n34063 50909\n77685 100000\n6344 9497\n919 1401\n9391 14084\n28781 43002\n3606 5420\n27695 41374\n29144 43541\n5846 8752\n26534 39662\n84879 100000\n59481 89211\n13998 20967\n51441 77079\n26681 39871\n3527 5310\n64050 96066\n15176 22719\n50984 76383\n97366 100000\n52920 79312\n86302 100000\n35824 53553\n38629 57805\n22139 33090\n11958 17934\n2846 4293\n16593 24823\n4349 6538\n21280 31810\n29948 44764\n78044 100000\n42729 63934\n10671 16007\n16015 23985\n71162 100000\n74516 100000\n93766 100000\n5915 8853\n39444 59035\n78839 100000\n4590 6901\n53449 80110\n63314 94972\n20047 29972\n77635 100000\n61717 92582\n98460 100000\n63980 95964\n94980 100000\n49211 73717\n35560 53158\n46555 69705\n66678 100000\n6978 10435\n64066 96089\n36107 53986\n39299 58821\n89214 100000\n19284 28835\n20917 31266\n42387 63430\n84040 100000\n54276 81359\n21821 32627\n28474 42535\n36415 54454\n81378 100000\n11612 17410\n72477 100000\n98724 100000\n15812 23676\n21200 31698\n95021 100000\n88379 100000\n33760 50451\n17215 25761\n91139 100000\n96569 100000\n77911 100000\n33389 49911\n9139 13711\n76708 100000\n63665 95495\n67754 100000\n46103 69015\n51335 76917\n31704 47418\n9782 14675\n80028 100000\n65709 98563\n91486 100000\n28944 43247\n83614 100000\n88416 100000\n76743 100000\n38718 57939\n88226 100000\n27546 41156\n29732 44431\n48206 72189\n89937 100000\n55300 82906\n64357 96524\n76854 100000\n51623 77355\n12913 19358\n33996 50807\n50624 75845\n48250 72259\n68131 100000\n94254 100000\n88742 100000\n1173 1792\n78958 100000\n566 860\n89439 100000\n4962 7454\n37284 55751\n27925 41727\n12187 18279\n39700 59421\n31662 47355\n47504 71137\n46247 69233\n13880 20787\n81004 100000\n68067 100000\n5016 7536\n5816 8707\n50953 76338\n12561 18831\n65379 98065\n71925 100000\n80420 100000\n30801 46048\n34613 51751\n97597 100000\n51634 77370\n45615 68274\n84538 100000\n21063 31496\n17017 25453\n55025 82503\n42287 63274\n41185 61646\n83075 100000\n5366 8051\n32754 48973\n59939 89903\n85241 100000\n29148 43548\n79200 100000\n59127 88666\n76204 100000\n78888 100000\n79063 100000\n26888 40178\n64470 96682\n2058 3101\n12214 18322\n39466 59064\n50872 76209\n7402 11078\n1855 2790\n11429 17135\n18173 27193\n61160 91747\n54656 81938\n24209 36206\n4697 7064\n19629 29344\n62080 93141\n59658 89482\n93008 100000\n12160 18237\n57478 86191\n14354 21501\n89251 100000\n14822 22188\n9039 13558\n36184 54095\n17160 25670\n16787 25109\n89157 100000\n75941 100000\n43205 64646\n86523 100000\n48742 72995\n42286 63272\n33321 49812\n64741 97105\n8163 12222\n28955 43268\n52513 78708\n74863 100000\n41169 61619\n14095 21110\n65868 98801\n34440 51479\n43757 65480\n60732 91100\n24454 36551\n80388 100000\n83143 100000\n45044 67406\n2630 3965\n87774 100000\n80456 100000\n97592 100000\n5964 8927\n86860 100000\n21207 31708\n15540 23269\n26107 39014\n48881 73201\n39901 59722\n16464 24635\n15209 22765\n17738 26533\n81975 100000\n66768 100000\n86310 100000\n90813 100000\n21731 32490\n4823 7254\n86532 100000\n46461 69563\n32225 48192\n11157 16719\n98532 100000\n26804 40054\n37657 56309\n30287 45270\n80516 100000\n20140 30120\n65442 98160\n14712 22026\n12459 18682\n35952 53742\n75558 100000\n44807 67048\n64849 97261\n22387 33456\n23848 35662\n67068 100000\n15583 23333\n74369 100000\n86514 100000\n61080 91619\n24512 36634\n87719 100000\n48597 72782\n38184 57116\n76064 100000\n24094 36034\n88248 100000\n29667 44330\n34531 51627\n83113 100000\n95143 100000\n86698 100000\n60018 90027\n96392 100000\n40008 59876\n98991 100000\n89078 100000\n44764 66988\n74208 100000\n93920 100000\n17633 26381\n88208 100000\n34095 50959\n18700 27974\n81116 100000\n77555 100000\n57710 86549\n22598 33784\n28456 42514\n35042 52385\n31703 47417\n85204 100000\n44090 65982\n4993 7503\n5951 8905\n46308 69323\n10491 15741\n36395 54425\n83984 100000\n7884 11804\n71333 100000\n96791 100000\n11207 16802\n40688 60895\n62995 94497\n74055 100000\n2811 4239\n79335 100000\n59787 89672\n73899 100000\n90408 100000\n23293 34830\n66902 100000\n79149 100000\n28184 42118\n5920 8862\n68575 100000\n41375 61929\n70734 100000\n64286 96416\n52979 79404\n90848 100000\n7259 10867\n79980 100000\n9239 13866\n59641 89456\n87079 100000\n2735 4122\n22445 33549\n39038 58418\n87336 100000\n89912 100000\n50415 75532\n35683 53346\n67132 100000\n20648 30878\n89514 100000\n27225 40676\n3987 6010\n37468 56023\n51299 76860\n78438 100000\n65317 97969\n506 768\n61421 92145\n1875 2822\n15119 22633\n38414 57467\n27508 41098\n48287 72312\n3151 4749\n48366 72427\n74238 100000\n98279 100000\n23936 35801\n5451 8173\n71331 100000\n24 34\n78770 100000\n84876 100000\n27805 41545\n38376 57409\n1490 2256\n26498 39613\n32356 48384\n63999 95990\n74346 100000\n75702 100000\n46331 69357\n43659 65334\n71118 100000\n48704 72938\n38239 57203\n10325 15493\n14975 22419\n6356 9516\n42148 63064\n47837 71640\n69600 100000\n80940 100000\n66450 99697\n44221 66176\n68277 100000\n17731 26523\n15217 22778\n61657 92489\n20994 31384\n21344 31906\n43818 65574\n19645 29373\n98741 100000\n11703 17549\n68567 100000\n38464 57547\n22682 33912\n30024 44876\n14164 21218\n86873 100000\n36510 54590\n3375 5079\n8203 12283\n32240 48214\n79322 100000\n91075 100000\n44572 66704\n71828 100000\n73862 100000\n31634 47309\n76870 100000\n57601 86382\n67978 100000\n57174 85728\n34726 51921\n75978 100000\n72958 100000\n88928 100000\n23645 35353\n29989 44823\n17614 26350\n31401 46951\n36649 54790\n83392 100000\n49741 74523\n64580 96860\n24751 36988\n32996 49331\n83708 100000\n99318 100000\n63198 94796\n33806 50520\n44324 66336\n34673 51839\n11355 17022\n25475 38063\n1786 2687\n81589 100000\n51899 77775\n36738 54920\n59760 89633\n19579 29271\n47472 71091\n54087 81083\n92787 100000\n25386 37934\n13739 20576\n86109 100000\n7839 11735\n32093 47991\n11347 17010\n6854 10252\n13510 20242\n18517 27706\n81770 100000\n48267 72282\n18421 27566\n93608 100000\n84865 100000\n78868 100000\n87072 100000\n30556 45673\n65959 98942\n4332 6511\n24901 37211\n77831 100000\n9938 14907\n29333 43817\n83233 100000\n99650 100000\n41240 61727\n59025 88513\n22331 33370\n98404 100000\n50974 76368\n32059 47940\n27077 40467\n8675 12993\n14915 22334\n57124 85643\n72816 100000\n50270 75313\n89072 100000\n49472 74116\n12605 18899\n66673 100000\n74121 100000\n26530 39657\n7851 11751\n42895 64185\n23115 34566\n76720 100000\n75104 100000\n68586 100000\n67221 100000\n22398 33474\n61886 92842\n69133 100000\n14613 21878\n46257 69249\n32349 48374\n7430 11120\n14870 22263\n5363 8048\n36460 54516\n65354 98026\n24110 36060\n14650 21928\n12373 18556\n74412 100000\n88026 100000\n22384 33451\n27356 40871\n83294 100000\n43426 64976\n84623 100000\n33028 49380\n41722 62427\n39135 58561\n8932 13394\n78908 100000\n6094 9127\n74678 100000\n49874 74724\n80377 100000\n69287 100000\n91934 100000\n11315 16965\n34957 52258\n47008 70380\n11849 17764\n13525 20267\n9606 14399\n3309 4981\n96494 100000\n8392 12563\n58363 87541\n14326 21461\n82677 100000\n52319 78417\n40601 60767\n70379 100000\n21580 32265\n16925 25317\n51576 77281\n72093 100000\n55495 83187\n88442 100000\n34656 51812\n42246 63207\n83509 100000\n87101 100000\n34148 51038\n9002 13504\n70695 100000\n25964 38795\n24055 35979\n18303 27386\n32198 48154\n4746 7137\n42937 64244\n99877 100000\n5526 8284\n4400 6614\n62601 93909\n19438 29067\n98202 100000\n29998 44837\n55180 82732\n74688 100000\n29779 44503\n15888 23790\n29190 43611\n18677 27939\n29549 44139\n13214 19799\n65084 97615\n33341 49842\n19948 29820\n4310 6477\n71668 100000\n48362 72422\n16960 25367\n13291 19914\n58369 87552\n79135 100000\n60329 90497\n97199 100000\n66929 100000\n16942 25341\n78854 100000\n4638 6974\n21192 31684\n34643 51795\n91133 100000\n23883 35716\n95550 100000\n36532 54626\n39126 58546\n34404 51423\n81623 100000\n27577 41202\n27052 40424\n221 333\n46302 69315\n71300 100000\n73062 100000\n57172 85725\n13767 20618\n15134 22653\n49926 74799\n19527 29188\n40679 60881\n65695 98544\n88835 100000\n96378 100000\n58603 87899\n16377 24511\n58932 88383\n62108 93185\n80602 100000\n76514 100000\n68799 100000\n9601 14392\n8874 13299\n53470 80141\n62747 94122\n65792 98691\n97369 100000\n85100 100000\n721 1095\n79001 100000\n76836 100000\n24933 37257\n35247 52688\n12015 18021\n1993 2998\n16335 24454\n96835 100000\n16819 25153\n63803 95694\n72851 100000\n50182 75177\n2725 4107\n76027 100000\n91515 100000\n1711 2583\n91896 100000\n18022 26976\n75254 100000\n47541 71197\n27772 41493\n74471 100000\n30308 45303\n63490 95228\n4018 6056\n11296 16937\n97338 100000\n52454 78618\n58000 86994\n59846 89758\n502 760\n67435 100000\n33081 49462\n11445 17162\n58015 87018\n83748 100000\n52741 79049\n30028 44882\n95141 100000\n56278 84359\n34616 51756\n99024 100000\n6023 9021\n7249 10852\n95361 100000\n80307 100000\n10589 15890\n30420 45471\n88708 100000\n73126 100000\n99260 100000\n74637 100000\n32734 48939\n29841 44596\n49870 74719\n66283 99443\n7632 11422\n21545 32214\n70624 100000\n34324 51306\n338 506\n61789 92689\n17476 26146\n77829 100000\n73066 100000\n53987 80925\n11463 17191\n45730 68447\n18834 28172\n33675 50331\n25737 38451\n38617 57784\n44162 66090\n76147 100000\n9699 14547\n26083 38977\n82437 100000\n8738 13094\n6003 8988\n6102 9139\n15685 23494\n13499 20225\n82016 100000\n24488 36601\n36254 54199\n11466 17195\n37463 56016\n97246 100000\n70444 100000\n89660 100000\n44442 66507\n38888 58187\n85361 100000\n53283 79848\n42401 63449\n42658 63829\n86196 100000\n88215 100000\n79603 100000\n63539 95299\n48699 72932\n21936 32790\n73318 100000\n21436 32047\n65232 97845\n54523 81729\n21616 32318\n61408 92127\n24948 37276\n61340 92030\n23182 34663\n37771 56482\n70313 100000\n8585 12849\n66054 99090\n68079 100000\n3946 5950\n41431 62006\n18358 27469\n55049 82541\n82405 100000\n12858 19275\n48335 72381\n52409 78549\n60486 90737\n96296 100000\n1558 2358\n95553 100000\n63424 95137\n77237 100000\n60148 90224\n1276 1938\n58888 88316\n51560 77256\n40644 60830\n22425 33516\n99688 100000\n78404 100000\n30415 45463\n81431 100000\n89236 100000\n24298 36331\n34736 51935\n33233 49685\n48748 73005\n397 597\n89355 100000\n13438 20139\n43527 65128\n1360 2065\n81149 100000\n8824 13223\n11917 17871\n13823 20703\n22731 33992\n51428 77061\n49467 74109\n77941 100000\n47514 71155\n22820 34119\n50022 74937\n46085 68987\n27998 41834\n49814 74630\n62043 93079\n69568 100000\n63227 94836\n68939 100000\n90830 100000\n97768 100000\n97229 100000\n53735 80549\n45794 68546\n41421 61991\n29887 44671\n27739 41446\n41825 62575\n18584 27801\n11095 16635\n26184 39136\n18371 27489\n10374 15564\n59211 88796\n53750 80573\n38095 56980\n6446 9640\n2779 4192\n87657 100000\n90258 100000\n27020 40378\n61791 92693\n80785 100000\n17722 26509\n61141 91715\n28996 43327\n96411 100000\n31521 47136\n67074 100000\n43280 64757\n47536 71191\n59120 88656\n38552 57683\n22923 34274\n64333 96489\n95308 100000\n11617 17418\n54840 82216\n804 1219\n44651 66823\n98877 100000\n46623 69806\n9125 13692\n84355 100000\n96284 100000\n83497 100000\n54926 82348\n89471 100000\n3793 5704\n32854 49118\n45966 68809\n10209 15316\n28914 43204\n15567 23312\n86701 100000\n23306 34851\n46160 69099\n73725 100000\n79477 100000\n11990 17982\n66241 99374\n25498 38098\n2230 3362\n52973 79397\n64043 96056\n45339 67857\n73810 100000\n40144 60078\n65654 98484\n64772 97146\n43880 65672\n70596 100000\n89289 100000\n87785 100000\n80526 100000\n76284 100000\n69317 100000\n54174 81214\n64700 97040\n3979 5997\n55606 83361\n53723 80534\n84469 100000\n14058 21052\n19421 29043\n2526 3809\n80494 100000\n20521 30698\n54187 81233\n19374 28964\n41146 61583\n31839 47606\n85240 100000\n54424 81582\n14920 22341\n33057 49425\n80147 100000\n72301 100000\n18307 27392\n26896 40190\n10258 15394\n83858 100000\n17578 26294\n71278 100000\n52707 79002\n95783 100000\n78582 100000\n19657 29389\n94465 100000\n23780 35557\n77620 100000\n17303 25892\n58042 87052\n36926 55204\n90956 100000\n7448 11148\n31559 47191\n78538 100000\n32531 48641\n93831 100000\n61430 92157\n38928 58251\n86398 100000\n42698 63888\n27670 41340\n73129 100000\n12005 18004\n23123 34578\n50940 76316\n87789 100000\n98892 100000\n94394 100000\n56078 84065\n19760 29543\n67308 100000\n13027 19525\n84925 100000\n15777 23626\n9820 14732\n5372 8059\n39481 59088\n48909 73244\n52824 79174\n24409 36487\n92269 100000\n13321 19962\n445 672\n1562 2365\n9885 14827\n67056 100000\n10744 16119\n54226 81285\n75762 100000\n72694 100000\n77934 100000\n74298 100000\n40150 60088\n75432 100000\n74534 100000\n89772 100000\n40068 59964\n29905 44697\n3719 5593\n35619 53245\n41090 61500\n16369 24498\n19739 29511\n56727 85037\n94912 100000\n78490 100000\n48556 72714\n1876 2824\n7875 11789\n17998 26940\n38425 57484\n89723 100000\n54153 81181\n93470 100000\n1398 2120\n53585 80320\n91369 100000\n28556 42654\n33076 49452\n78657 100000\n60375 90562\n13757 20602\n28770 42984\n72280 100000\n9724 14587\n3610 5426\n33214 49657\n14568 21817\n51742 77534\n33460 50018\n11188 16772\n2617 3947\n82069 100000\n63574 95353\n97778 100000\n17521 26214\n89559 100000\n83835 100000\n50909 76269\n71104 100000\n61043 91561\n13962 20912\n31015 46370\n4978 7479\n88039 100000\n93729 100000\n41357 61904\n70270 100000\n85761 100000\n14607 21869\n91448 100000\n81881 100000\n61745 92625\n77530 100000\n93205 100000\n60588 90886\n13834 20720\n74496 100000\n11841 17752\n36896 55164\n6607 9882\n86846 100000\n57137 85666\n75229 100000\n57194 85759\n72999 100000\n56790 85129\n32851 49115\n69771 100000\n94636 100000\n95712 100000\n78141 100000\n77605 100000\n12910 19355\n3198 4823\n91613 100000\n95728 100000\n54897 82304\n381 573\n49149 73618\n66778 100000\n46757 70007\n471 712\n81518 100000\n50668 75906\n15236 22806\n74486 100000\n2650 3993\n32098 47999\n22043 32946\n64739 97101\n13637 20429\n69781 100000\n64345 96507\n27051 40423\n45501 68102\n1359 2063\n90975 100000\n7412 11096\n65151 97717\n50232 75256\n55486 83175\n95052 100000\n41663 62344\n95230 100000\n57865 86788\n62384 93597\n84175 100000\n83601 100000\n58551 87823\n45603 68256\n4894 7359\n37471 56028\n67310 100000\n92944 100000\n80987 100000\n7049 10542\n79071 100000\n8210 12293\n74483 100000\n23003 34388\n21257 31776\n61797 92702\n21613 32312\n27798 41535\n30989 46330\n75317 100000\n85826 100000\n20444 30579\n91141 100000\n45785 68532\n70130 100000\n61060 91589\n13861 20759\n6343 9496\n36068 53924\n60080 90119\n54455 81632\n14972 22413\n14816 22177\n93044 100000\n82217 100000\n22518 33659\n68977 100000\n80352 100000\n69403 100000\n58306 87452\n51258 76797\n95172 100000\n90433 100000\n24680 36883\n868 1324\n76394 100000\n57846 86760\n75902 100000\n97842 100000\n87330 100000\n16448 24611\n96525 100000\n49051 73463\n70252 100000\n21228 31736\n89148 100000\n82093 100000\n8478 12689\n97583 100000\n25296 37791\n7654 11457\n14409 21581\n61339 92028\n39377 58934\n37621 56251\n26487 39594\n27815 41557\n96263 100000\n95974 100000\n4009 6046\n22919 34266\n26225 39197\n93482 100000\n67782 100000\n18818 28150\n18908 28284\n15613 23382\n36209 54134\n91544 100000\n59121 88657\n60843 91267\n48270 72287\n7799 11674\n22603 33791\n33892 50645\n9037 13556\n23258 34780\n21639 32351\n57706 86541\n76197 100000\n83918 100000\n70709 100000\n14127 21157\n44751 66967\n63634 95447\n70207 100000\n20133 30110\n35732 53419\n997 1525\n65187 97775\n10980 16468\n97001 100000\n63897 95836\n24112 36062\n81829 100000\n13617 20401\n26377 39427\n21394 31981\n30004 44847\n22006 32892\n17159 25669\n63833 95738\n71708 100000\n40425 60501\n13947 20887\n72055 100000\n83936 100000\n32865 49135\n13200 19781\n98942 100000\n28395 42424\n18271 27339\n87821 100000\n99894 100000\n78563 100000\n68671 100000\n21629 32338\n15992 23947\n96992 100000\n22863 34183\n78981 100000\n69539 100000\n23117 34569\n11247 16862\n80652 100000\n15441 23120\n5961 8922\n89513 100000\n43068 64433\n39086 58488\n15168 22706\n98065 100000\n76443 100000\n53442 80098\n91043 100000\n64998 97483\n54584 81820\n84777 100000\n49743 74526\n44465 66544\n94513 100000\n34088 50950\n14401 21568\n21126 31587\n6406 9587\n21685 32417\n84728 100000\n86796 100000\n34263 51212\n9465 14200\n9421 14130\n76171 100000\n60539 90814\n43962 65791\n33033 49387\n26234 39211\n77851 100000\n60566 90851\n63866 95788\n80320 100000\n93956 100000\n29429 43959\n57881 86811\n46343 69376\n14942 22371\n60918 91378\n5632 8441\n20052 29978\n17939 26849\n23774 35548\n3270 4931\n26216 39184\n27109 40512\n75149 100000\n74039 100000\n61702 92560\n66836 100000\n86021 100000\n760 1160\n11081 16614\n50731 75995\n50542 75725\n98926 100000\n93343 100000\n82947 100000\n62744 94117\n78218 100000\n93624 100000\n77825 100000\n60172 90258\n78231 100000\n33443 49988\n81203 100000\n60545 90823\n43825 65585\n88006 100000\n84199 100000\n30684 45866\n14065 21062\n71094 100000\n17906 26794\n65349 98019\n5400 8101\n56988 85431\n4733 7119\n96321 100000\n58365 87545\n20584 30787\n42868 64138\n17587 26307\n36329 54317\n12537 18797\n7320 10957\n19721 29483\n54336 81450\n5837 8738\n59528 89282\n13537 20285\n11101 16641\n2257 3403\n59764 89639\n24827 37099\n39722 59458\n51156 76641\n47123 70555\n88899 100000\n21380 31959\n84065 100000\n74479 100000\n87032 100000\n29137 43530\n52559 78783\n82796 100000\n67091 100000\n16520 24719\n17060 25519\n31810 47564\n19898 29750\n19419 29040\n43431 64983\n68681 100000\n10939 16408\n41831 62582\n91280 100000\n17356 25969\n40012 59881\n20193 30194\n73861 100000\n90443 100000\n99410 100000\n10247 15377\n52093 78072\n71389 100000\n50975 76370\n6086 9115\n78014 100000\n4785 7202\n92189 100000\n32522 48625\n71799 100000\n78220 100000\n99574 100000\n59063 88570\n42041 62898\n91866 100000\n65727 98593\n52085 78061\n92604 100000\n97869 100000\n29838 44590\n99126 100000\n47106 70529\n87080 100000\n64847 97258\n99358 100000\n4204 6330\n7067 10569\n99891 100000\n67434 100000\n73637 100000\n41592 62241\n76853 100000\n57334 85973\n6714 10044\n99662 100000\n31250 46724\n77335 100000\n50660 75896\n96489 100000\n54571 81803\n77274 100000\n42436 63498\n95014 100000\n17046 25500\n63561 95336\n40530 60662\n51253 76789\n19382 28978\n37090 55462\n66655 100000\n40475 60575\n31008 46360\n16308 24416\n27076 40466\n50435 75561\n58074 87104\n30680 45860\n49411 74026\n42863 64130\n76695 100000\n85920 100000\n22999 34381\n46440 69531\n66861 100000\n28158 42079\n82751 100000\n25103 37504\n84520 100000\n30818 46075\n73541 100000\n8282 12398\n33426 49960\n51671 77424\n83473 100000\n50098 75051\n71302 100000\n34293 51257\n56659 84937\n64303 96441\n8264 12369\n58704 88050\n80792 100000\n69494 100000\n16344 24464\n41893 62675\n52253 78316\n82468 100000\n24759 36999\n40815 61084\n64597 96889\n5567 8349\n32640 48804\n82413 100000\n57525 86266\n82710 100000\n25844 38615\n90428 100000\n81355 100000\n44797 67033\n47223 70704\n84545 100000\n51075 76521\n1472 2229\n52322 78422\n41570 62206\n30754 45980\n15557 23295\n85944 100000\n22078 33001\n93264 100000\n17593 26318\n93797 100000\n35609 53230\n31196 46639\n12747 19110\n16333 24451\n53480 80157\n30285 45268\n92941 100000\n12424 18631\n39688 59403\n62721 94081\n9811 14719\n71188 100000\n11510 17260\n12548 18814\n32773 48998\n90385 100000\n30196 45132\n1614 2445\n55287 82889\n32430 48489\n67107 100000\n29443 43979\n13362 20027\n64509 96749\n47965 71833\n76184 100000\n25834 38597\n94482 100000\n32697 48885\n91909 100000\n84201 100000\n36114 53997\n95379 100000\n24981 37321\n10377 15570\n97964 100000\n31204 46651\n76297 100000\n92111 100000\n79851 100000\n89320 100000\n20490 30650\n73079 100000\n31942 47761\n11078 16609\n44801 67039\n48788 73061\n23194 34680\n35017 52349\n49052 73464\n8569 12823\n12209 18315\n30868 46147\n75491 100000\n89094 100000\n50973 76367\n18510 27696\n70657 100000\n46618 69798\n1071 1639\n91629 100000\n72026 100000\n35341 52831\n58287 87423\n81690 100000\n58842 88249\n39412 58984\n42356 63382\n87037 100000\n76512 100000\n422 636\n84057 100000\n738 1126\n78962 100000\n92908 100000\n5729 8584\n59911 89860\n74593 100000\n23939 35805\n12412 18611\n37012 55339\n73653 100000\n22752 34023\n2520 3801\n55412 83068\n90212 100000\n67942 100000\n11904 17851\n40223 60197\n12037 18058\n29449 43987\n97725 100000\n95157 100000\n8273 12383\n24532 36663\n39343 58891\n82673 100000\n15982 23931\n82075 100000\n34945 52243\n38686 57887\n64318 96464\n10368 15556\n32999 49336\n82308 100000\n62989 94487\n95433 100000\n40176 60127\n807 1224\n12376 18561\n24882 37182\n79108 100000\n97151 100000\n97702 100000\n70871 100000\n14889 22294\n33187 49619\n71640 100000\n16475 24648\n69137 100000\n45226 67686\n45460 68042\n47031 70412\n57045 85521\n52224 78265\n91719 100000\n47952 71813\n16463 24633\n56854 85227\n48802 73082\n7480 11203\n98163 100000\n1747 2631\n52110 78099\n26436 39515\n25465 38047\n91890 100000\n25079 37467\n70991 100000\n12050 18078\n81033 100000\n90231 100000\n387 583\n51712 77488\n11806 17703\n84424 100000\n47421 71019\n41216 61691\n52275 78352\n61207 91819\n78572 100000\n31948 47772\n2834 4273\n98682 100000\n98902 100000\n21737 32499\n37181 55597\n95612 100000\n78100 100000\n53267 79823\n62962 94445\n25151 37573\n49309 73867\n21826 32634\n71233 100000\n56060 84040\n87243 100000\n9214 13829\n42048 62908\n78083 100000\n38465 57549\n2402 3625\n48101 72036\n93780 100000\n54884 82283\n44956 67275\n10792 16189\n15012 22471\n42203 63141\n78678 100000\n80158 100000\n81043 100000\n1091 1668\n65178 97760\n76287 100000\n66781 100000\n74704 100000\n21199 31696\n79988 100000\n96223 100000\n41213 61687\n24211 36210\n73784 100000\n30182 45108\n49777 74577\n48570 72736\n32605 48751\n91032 100000\n8378 12543\n30181 45106\n86378 100000\n40484 60589\n97738 100000\n25748 38465\n2660 4008\n90847 100000\n4403 6618\n37968 56782\n98114 100000\n68145 100000\n82773 100000\n5644 8459\n89207 100000\n38175 57102\n13748 20588\n85648 100000\n99139 100000\n31381 46921\n12753 19117\n92704 100000\n92224 100000\n9962 14942\n35129 52513\n34174 51079\n58442 87661\n80215 100000\n74013 100000\n61622 92437\n49373 73966\n96444 100000\n1076 1645\n22604 33793\n52738 79046\n73112 100000\n95639 100000\n58181 87255\n70442 100000\n14131 21163\n81258 100000\n7452 11154\n64978 97449\n20628 30850\n55382 83024\n63527 95282\n62000 93014\n92153 100000\n48626 72823\n22121 33064\n45836 68611\n22239 33231\n82121 100000\n117 178\n90605 100000\n12595 18885\n67381 100000\n27341 40850\n61871 92818\n29008 43347\n47085 70494\n67100 100000\n37627 56260\n65698 98549\n15636 23418\n18347 27451\n94765 100000\n64992 97473\n84826 100000\n89894 100000\n21071 31508\n52639 78898\n17051 25506\n79653 100000\n60858 91288\n91039 100000\n23522 35177\n87017 100000\n53136 79637\n32444 48511\n58012 87012\n17516 26206\n27144 40563\n12661 18981\n25538 38154\n46084 68985\n81075 100000\n79330 100000\n3271 4933\n15729 23558\n97674 100000\n58537 87801\n97708 100000\n78666 100000\n27450 41014\n62529 93800\n67556 100000\n93097 100000\n57709 86547\n74699 100000\n37429 55967\n95939 100000\n44964 67286\n48074 71991\n22757 34030\n15773 23620\n95000 100000\n49771 74569\n97512 100000\n50959 76346\n43721 65425\n74117 100000\n90621 100000\n56551 84778\n85930 100000\n21175 31660\n33358 49864\n73218 100000\n22035 32933\n32063 47946\n70506 100000\n77200 100000\n26402 39465\n72072 100000\n90389 100000\n61399 92113\n38340 57351\n38455 57533\n99165 100000\n34399 51415\n79924 100000\n30847 46115\n23587 35270\n89173 100000\n83502 100000\n2988 4502\n82177 100000\n46535 69675\n70366 100000\n19900 29752\n90448 100000\n86736 100000\n73826 100000\n51962 77874\n13231 19825\n69537 100000\n18071 27045\n65908 98861\n15008 22465\n16995 25421\n23136 34595\n88290 100000\n89852 100000\n12837 19244\n98126 100000\n3876 5837\n54315 81416\n18759 28061\n23704 35443\n92834 100000\n1062 1625\n56743 85060\n43982 65822\n76256 100000\n22532 33682\n59981 89973\n27008 40360\n23146 34610\n89060 100000\n76189 100000\n8003 11980\n29184 43602\n63504 95247\n46296 69305\n1217 1853\n99434 100000\n24970 37306\n31742 47467\n96935 100000\n64103 96146\n8985 13475\n64092 96127\n6807 10181\n78026 100000\n50708 75962\n77860 100000\n81898 100000\n53721 80531\n80780 100000\n22417 33503\n4292 6452\n38591 57744\n64977 97447\n64937 97394\n84148 100000\n32543 48660\n66282 99441\n2581 3889\n52120 78116\n89724 100000\n18905 28280\n4928 7407\n99327 100000\n64769 97143\n81227 100000\n62751 94127\n30015 44864\n68670 100000\n81976 100000\n88984 100000\n1340 2031\n12584 18868\n75498 100000\n58146 87205\n95364 100000\n47370 70935\n91586 100000\n56094 84088\n56877 85261\n23630 35334\n51410 77034\n70638 100000\n69608 100000\n60498 90753\n95933 100000\n64598 96891\n19081 28527\n30963 46290\n51651 77393\n74378 100000\n78776 100000\n27370 40893\n77502 100000\n39073 58471\n48400 72476\n65078 97605\n55782 83628\n85301 100000\n56445 84618\n36473 54536\n71782 100000\n59465 89188\n96771 100000\n99584 100000\n34368 51368\n36891 55157\n60801 91203\n39271 58782\n7571 11337\n31930 47745\n42507 63598\n88140 100000\n77006 100000\n41991 62816\n57804 86702\n36763 54954\n79727 100000\n8263 12367\n62785 94176\n74751 100000\n3256 4908\n77629 100000\n76251 100000\n19662 29397\n37776 56489\n11979 17966\n86206 100000\n4515 6787\n23607 35299\n61129 91694\n31864 47643\n77998 100000\n52786 79119\n49466 74107\n10050 15078\n90094 100000\n99831 100000\n71056 100000\n26830 40090\n869 1326\n40909 61225\n56640 84909\n65444 98163\n66961 100000\n4651 6994\n58570 87852\n134 201\n80002 100000\n35422 52955\n12806 19196\n71184 100000\n33133 49540\n11736 17594\n56669 84951\n71198 100000\n22278 33290\n62179 93294\n53593 80333\n55487 83176\n87509 100000\n13252 19857\n70052 100000\n45936 68764\n68883 100000\n88318 100000\n80529 100000\n84878 100000\n97072 100000\n12314 18470\n91911 100000\n43744 65458\n78066 100000\n52305 78399\n72599 100000\n65359 98032\n42598 63735\n88637 100000\n712 1080\n13414 20100\n50425 75545\n77020 100000\n90384 100000\n34954 52254\n87834 100000\n56704 84999\n36397 54428\n26272 39273\n51039 76466\n14832 22205\n90652 100000\n91366 100000\n46096 69005\n30233 45186\n23016 34409\n46576 69736\n19533 29197\n57031 85497\n48790 73063\n4781 7195\n79739 100000\n41741 62454\n60667 91002\n56540 84763\n92778 100000\n96126 100000\n96932 100000\n25544 38163\n82041 100000\n56543 84767\n10260 15397\n43750 65468\n21543 32212\n29428 43957\n37564 56164\n74663 100000\n45289 67782\n27722 41416\n96116 100000\n90037 100000\n21594 32283\n40839 61120\n24713 36936\n41579 62220\n17576 26292\n50901 76257\n38347 57363\n91844 100000\n21176 31662\n72001 100000\n51239 76768\n88402 100000\n73392 100000\n44595 66743\n55883 83771\n29384 43892\n21887 32716\n72607 100000\n81313 100000\n54697 81998\n81850 100000\n69581 100000\n51021 76439\n31869 47652\n76145 100000\n21190 31681\n42132 63035\n98210 100000\n67495 100000\n12019 18028\n4032 6077\n27944 41755\n61403 92119\n65257 97884\n83915 100000\n68313 100000\n43867 65650\n40762 61006\n54374 81510\n48460 72565\n90327 100000\n44338 66356\n12118 18183\n18512 27700\n74315 100000\n62017 93037\n91332 100000\n93106 100000\n25847 38618\n47356 70913\n34193 51107\n23263 34787\n27484 41060\n45117 67517\n78059 100000\n48082 72004\n85652 100000\n11576 17354\n89263 100000\n38067 56937\n84579 100000\n99300 100000\n45105 67498\n29054 43413\n67549 100000\n19919 29777\n6752 10102\n84245 100000\n2814 4245\n6856 10255\n37116 55500\n71711 100000\n28487 42553\n9590 14377\n39589 59252\n67798 100000\n81434 100000\n38134 57039\n48395 72468\n92903 100000\n33380 49898\n47046 70433\n32523 48627\n22930 34282\n22173 33142\n70112 100000\n28368 42390\n68323 100000\n48274 72292\n82543 100000\n31181 46619\n98647 100000\n35875 53627\n24160 36132\n59138 88684\n62941 94417\n45392 67939\n60995 91487\n40125 60049\n75071 100000\n68548 100000\n26049 38926\n97539 100000\n87516 100000\n6398 9575\n93525 100000\n25447 38023\n15001 22454\n4717 7094\n10692 16043\n68401 100000\n74145 100000\n75760 100000\n2464 3718\n50756 76032\n47028 70407\n22406 33487\n12060 18094\n56416 84578\n14463 21665\n35670 53323\n85165 100000\n53979 80911\n82064 100000\n11729 17586\n79983 100000\n96547 100000\n58165 87233\n81488 100000\n22708 33954\n73981 100000\n68269 100000\n18150 27159\n66336 99518\n32567 48696\n93122 100000\n31205 46652\n24814 37081\n6986 10450\n27442 41002\n24268 36289\n96777 100000\n5325 7990\n26460 39550\n12398 18593\n40389 60448\n1348 2046\n87111 100000\n79222 100000\n65831 98748\n805 1220\n94069 100000\n55812 83668\n85909 100000\n74420 100000\n31116 46525\n23599 35287\n91458 100000\n89673 100000\n10793 16191\n23528 35185\n41700 62394\n20677 30920\n14179 21241\n82203 100000\n28634 42777\n77005 100000\n70231 100000\n19719 29480\n25672 38351\n79194 100000\n3100 4675\n61726 92594\n88458 100000\n22245 33241\n94126 100000\n56187 84232\n49339 73914\n87497 100000\n94897 100000\n21527 32188\n63028 94544\n97654 100000\n51211 76722\n77980 100000\n2757 4157\n75290 100000\n64528 96779\n73779 100000\n30685 45868\n63590 95377\n86482 100000\n31699 47413\n13683 20493\n75471 100000\n94851 100000\n80706 100000\n29297 43767\n16029 24005\n51626 77359\n63978 95962\n29633 44274\n53862 80734\n51330 76909\n68731 100000\n53334 79930\n70012 100000\n18322 27411\n18279 27350\n81036 100000\n33308 49793\n98551 100000\n83255 100000\n97948 100000\n35212 52635\n46303 69316\n75392 100000\n47527 71177\n89880 100000\n28874 43146\n87361 100000\n95071 100000\n84924 100000\n28901 43187\n58193 87275\n26097 38999\n70040 100000\n83386 100000\n85205 100000\n13335 19982\n12427 18635\n46655 69856\n2250 3392\n8830 13233\n72868 100000\n83740 100000\n17087 25560\n28277 42259\n5270 7910\n52989 79415\n62147 93244\n41472 62064\n54203 81252\n77345 100000\n84250 100000\n21237 31752\n52252 78315\n67704 100000\n14438 21627\n2506 3779\n87454 100000\n42854 64117\n9707 14562\n18334 27432\n80571 100000\n75670 100000\n91010 100000\n97311 100000\n18394 27524\n88998 100000\n87260 100000\n29883 44664\n35600 53219\n17406 26044\n60688 91033\n43226 64678\n50781 76069\n85539 100000\n12956 19421\n18354 27461\n42861 64127\n95154 100000\n28568 42672\n30369 45395\n33459 50016\n6362 9525\n70843 100000\n85798 100000\n93791 100000\n39474 59078\n90707 100000\n5482 8218\n18002 26947\n55492 83183\n11586 17368\n98469 100000\n66132 99212\n60885 91332\n20464 30608\n34877 52137\n86126 100000\n54204 81253\n70516 100000\n57337 85979\n85468 100000\n65256 97883\n72006 100000\n72179 100000\n82451 100000\n57791 86682\n13806 20676\n64803 97192\n75040 100000\n21493 32131\n531 807\n42308 63308\n10470 15705\n66973 100000\n40738 60967\n92738 100000\n17656 26416\n38063 56931\n8530 12768\n89621 100000\n83892 100000\n45244 67715\n78555 100000\n99987 100000\n38772 58015\n33643 50282\n13237 19834\n77771 100000\n28015 41859\n30094 44977\n88671 100000\n81638 100000\n28369 42391\n92299 100000\n84955 100000\n74608 100000\n39093 58497\n6878 10287\n13110 19646\n30907 46204\n70530 100000\n98498 100000\n8229 12318\n5993 8972\n6817 10197\n23057 34476\n18885 28251\n71356 100000\n63750 95617\n28073 41948\n52653 78918\n14023 21002\n60150 90226\n43192 64624\n2566 3867\n86936 100000\n67383 100000\n17181 25706\n18796 28118\n7289 10911\n55052 82544\n82145 100000\n10444 15666\n58967 88432\n76134 100000\n32362 48392\n57989 86978\n77553 100000\n16613 24851\n3689 5547\n28464 42524\n79598 100000\n65449 98172\n34860 52112\n1445 2187\n50880 76222\n50035 74956\n97081 100000\n38458 57537\n34565 51679\n18727 28016\n23910 35758\n25452 38030\n44942 67256\n44998 67336\n96775 100000\n47361 70921\n38442 57512\n88950 100000\n82619 100000\n84508 100000\n17695 26470\n71576 100000\n85451 100000\n53815 80663\n5405 8108\n68592 100000\n91755 100000\n4808 7232\n6796 10164\n60221 90334\n52607 78852\n23582 35262\n37722 56412\n50750 76025\n48782 73051\n7732 11573\n5969 8934\n12988 19468\n34170 51074\n73336 100000\n73732 100000\n91385 100000\n63271 94904\n56535 84756\n79514 100000\n90787 100000\n94487 100000\n82806 100000\n12814 19209\n47826 71622\n51800 77633\n3239 4885\n19979 29870\n83082 100000\n23098 34540\n14839 22216\n99329 100000\n27449 41012\n43121 64520\n22625 33826\n34452 51500\n86650 100000\n60967 91447\n37205 55636\n61642 92468\n9889 14832\n93606 100000\n67446 100000\n66168 99266\n79351 100000\n8929 13389\n74896 100000\n59372 89039\n16780 25098\n75508 100000\n70673 100000\n55943 83867\n42660 63832\n78421 100000\n41033 61416\n20382 30480\n11725 17581\n7837 11731\n23777 35553\n53196 79720\n71111 100000\n95409 100000\n42666 63843\n34141 51027\n53386 80012\n30106 44997\n94110 100000\n17806 26634\n93935 100000\n75982 100000\n32864 49134\n39008 58374\n72793 100000\n65743 98618\n32395 48441\n79501 100000\n19540 29208\n34090 50953\n90505 100000\n25623 38276\n49992 74891\n50295 75353\n9223 13845\n95307 100000\n1448 2192\n60931 91394\n6072 9092\n42344 63362\n49029 73428\n64316 96462\n96360 100000\n52819 79168\n62656 93984\n58094 87133\n7378 11044\n19618 29329\n92248 100000\n54985 82442\n64385 96563\n74831 100000\n21451 32068\n64450 96650\n72352 100000\n64438 96633\n99626 100000\n31432 46998\n5481 8217\n98651 100000\n88579 100000\n43563 65183\n99656 100000\n55512 83213\n27113 40518\n67968 100000\n99918 100000\n49554 74243\n66320 99497\n32041 47913\n97056 100000\n69168 100000\n83215 100000\n44501 66601\n62593 93897\n9087 13632\n60559 90842\n66020 99035\n68081 100000\n59257 88861\n16274 24366\n83917 100000\n1811 2724\n26657 39837\n94835 100000\n42618 63764\n66244 99378\n58152 87213\n69455 100000\n43137 64541\n42950 64264\n88089 100000\n73267 100000\n10650 15979\n53459 80125\n51904 77783\n36892 55158\n15227 22792\n9642 14457\n32328 48346\n50571 75771\n4373 6572\n48831 73126\n71197 100000\n19667 29405\n86725 100000\n68259 100000\n79009 100000\n54714 82026\n45355 67881\n24465 36569\n33234 49686\n91944 100000\n56966 85398\n86989 100000\n6865 10270\n93586 100000\n41457 62044\n88317 100000\n59711 89559\n41510 62120\n24076 36009\n49600 74317\n6130 9179\n71071 100000\n67893 100000\n24421 36503\n94316 100000\n53538 80246\n86408 100000\n12782 19163\n48435 72527\n64960 97426\n21781 32564\n91488 100000\n36711 54876\n29853 44614\n15282 22881\n34451 51498\n39477 59083\n39235 58726\n30987 46327\n8083 12102\n38828 58099\n97233 100000\n64107 96153\n65080 97608\n21306 31849\n62426 93649\n31530 47150\n51903 77781\n27139 40557\n90285 100000\n95314 100000\n20772 31060\n15372 23011\n48163 72130\n42129 63029\n44339 66358\n91363 100000\n1885 2838\n38337 57348\n456 689\n69767 100000\n34205 51128\n81136 100000\n57024 85487\n40651 60839\n55137 82671\n88537 100000\n89475 100000\n10127 15188\n29955 44772\n51314 76886\n81096 100000\n11338 16997\n17171 25690\n6620 9903\n64717 97066\n90102 100000\n72456 100000\n21556 32229\n41558 62188\n5545 8313\n64507 96745\n2631 3966\n44686 66873\n33812 50529\n54893 82297\n95082 100000\n64436 96629\n38161 57081\n84297 100000\n46148 69079\n74035 100000\n73492 100000\n27741 41449\n48780 73048\n43881 65673\n39379 58938\n59599 89393\n16167 24209\n11855 17773\n4469 6716\n70073 100000\n51748 77544\n9168 13757\n62886 94336\n39666 59371\n33463 50023\n10619 15932\n97544 100000\n63133 94698\n27936 41741\n50846 76170\n74544 100000\n19002 28418\n36400 54434\n93410 100000\n85454 100000\n67616 100000\n97626 100000\n4616 6942\n99184 100000\n50782 76070\n98622 100000\n92729 100000\n14740 22067\n4262 6410\n93028 100000\n45514 68121\n29463 44010\n22453 33562\n89030 100000\n51926 77820\n3897 5870\n50210 75223\n12325 18486\n96511 100000\n36850 55092\n75258 100000\n45529 68144\n40985 61342\n19589 29287\n48479 72592\n86484 100000\n88982 100000\n51830 77676\n33559 50164\n84507 100000\n19874 29712\n95056 100000\n17258 25822\n43122 64521\n19802 29598\n44547 66666\n1516 2300\n97173 100000\n10645 15971\n21705 32452\n76871 100000\n61448 92181\n43113 64505\n96242 100000\n94205 100000\n59471 89197\n48784 73054\n68274 100000\n24100 36043\n80540 100000\n60591 90890\n12046 18072\n40969 61315\n25450 38026\n25094 37490\n77702 100000\n84709 100000\n25180 37617\n31361 46890\n89319 100000\n8155 12211\n91775 100000\n1083 1655\n12881 19311\n32855 49119\n98492 100000\n83590 100000\n36717 54886\n42529 63629\n90189 100000\n84616 100000\n27591 41224\n35741 53432\n1888 2844\n22581 33757\n54466 81644\n79136 100000\n14146 21187\n43773 65504\n30957 46279\n24447 36544\n98889 100000\n43525 65126\n13668 20472\n14035 21020\n86458 100000\n76509 100000\n90810 100000\n38906 58215\n63258 94886\n80632 100000\n3448 5192\n71254 100000\n13737 20572\n21259 31780\n59242 88840\n25050 37419\n20408 30522\n74353 100000\n42581 63710\n2362 3564\n62042 93077\n29401 43918\n47925 71776\n33395 49919\n67300 100000\n8870 13293\n77315 100000\n2903 4376\n1316 1995\n38926 58248\n95030 100000\n1072 1640\n71129 100000\n71134 100000\n21100 31550\n17342 25948\n12139 18211\n1179 1799\n86267 100000\n73427 100000\n43510 65102\n84813 100000\n6402 9582\n12700 19038\n73103 100000\n1660 2514\n39614 59289\n54327 81436\n23554 35221\n8770 13142\n48937 73287\n60383 90573\n34827 52066\n77441 100000\n78477 100000\n60339 90513\n59549 89318\n35334 52823\n11666 17493\n88785 100000\n64038 96049\n45137 67549\n85524 100000\n99896 100000\n8412 12591\n51370 76971\n51256 76794\n70113 100000\n10976 16462\n6867 10272\n73272 100000\n71915 100000\n84907 100000\n13398 20078\n86754 100000\n83944 100000\n42360 63389\n88846 100000\n61914 92885\n87185 100000\n30129 45025\n22054 32963\n62637 93960\n85706 100000\n50014 74926\n61916 92888\n42606 63746\n23402 34991\n57351 86000\n85413 100000\n86603 100000\n66842 100000\n36417 54457\n50066 75001\n47463 71077\n69817 100000\n72052 100000\n23946 35815\n6378 9548\n59352 89009\n10881 16315\n85157 100000\n25850 38624\n37933 56730\n61278 91938\n29595 44209\n80310 100000\n12221 18332\n52840 79196\n74992 100000\n4855 7303\n74241 100000\n93380 100000\n78590 100000\n63346 95023\n85600 100000\n50229 75251\n38230 57187\n1770 2664\n19163 28654\n80735 100000\n29943 44756\n81394 100000\n96248 100000\n99674 100000\n20526 30704\n17612 26347\n23251 34770\n15267 22858\n44796 67031\n61320 91999\n24075 36008\n57453 86157\n15135 22654\n9166 13753\n43006 64342\n96755 100000\n39668 59373\n65549 98323\n78271 100000\n97815 100000\n52812 79157\n82708 100000\n3305 4975\n11378 17060\n89155 100000\n32842 49101\n60896 91348\n20267 30311\n9373 14059\n18175 27197\n526 800\n81655 100000\n31764 47499\n5002 7518\n89523 100000\n35935 53722\n20855 31177\n91339 100000\n60875 91314\n30610 45752\n19764 29547\n96566 100000\n66238 99369\n61167 91760\n40242 60222\n81487 100000\n75478 100000\n98678 100000\n15707 23526\n97529 100000\n76071 100000\n45841 68619\n33512 50090\n57579 86349\n84871 100000\n51387 76998\n77307 100000\n86706 100000\n86479 100000\n22741 34007\n27657 41324\n43047 64402\n51733 77520\n95808 100000\n34426 51454\n38139 57047\n60829 91246\n34573 51693\n32065 47949\n38013 56850\n62203 93330\n64796 97180\n10663 15998\n83817 100000\n33007 49346\n66140 99224\n20916 31264\n80833 100000\n48195 72174\n61934 92915\n19817 29622\n71249 100000\n18146 27154\n16138 24166\n45772 68512\n44313 66317\n93283 100000\n85626 100000\n71481 100000\n43581 65213\n14203 21278\n49509 74172\n12382 18571\n86600 100000\n34857 52108\n83779 100000\n63337 95010\n81241 100000\n15213 22771\n70395 100000\n16275 24367\n86102 100000\n94611 100000\n72106 100000\n84462 100000\n45041 67403\n92218 100000\n85614 100000\n59197 88773\n33705 50372\n29099 43478\n62456 93692\n45400 67951\n44986 67317\n37615 56242\n90953 100000\n18294 27373\n23013 34405\n14826 22194\n60721 91083\n41048 61436\n78377 100000\n31398 46947\n54664 81950\n74392 100000\n6567 9813\n14115 21141\n33106 49500\n2013 3029\n89997 100000\n60754 91135\n79454 100000\n68520 100000\n54293 81383\n98192 100000\n49037 73441\n52667 78938\n25449 38025\n91773 100000\n46577 69737\n35267 52721\n72287 100000\n64354 96521\n98665 100000\n90720 100000\n58662 87986\n51195 76698\n96660 100000\n42783 64015\n25378 37921\n99547 100000\n71720 100000\n87429 100000\n55414 83070\n68600 100000\n75823 100000\n31642 47324\n12333 18500\n10447 15672\n13504 20235\n85604 100000\n24436 36527\n96325 100000\n5120 7688\n52682 78964\n50918 76283\n47314 70844\n89624 100000\n59659 89483\n99883 100000\n82489 100000\n42749 63966\n34944 52242\n32077 47968\n55383 83026\n83880 100000\n68810 100000\n35098 52465\n75521 100000\n44331 66346\n45214 67665\n58308 87454\n32656 48827\n81196 100000\n14387 21546\n60767 91154\n27610 41256\n13242 19841\n70666 100000\n49158 73631\n21238 31753\n30533 45637\n9985 14976\n48252 72262\n1299 1973\n26353 39394\n1831 2755\n52874 79244\n78940 100000\n27837 41595\n19935 29800\n84415 100000\n95780 100000\n94507 100000\n75272 100000\n36608 54733\n9896 14841\n62440 93669\n11098 16638\n69190 100000\n1505 2282\n4193 6312\n78686 100000\n50287 75338\n2935 4420\n357 535\n61007 91504\n61158 91743\n64388 96567\n65848 98772\n34158 51055\n53860 80730\n48558 72716\n49458 74095\n53613 80363\n90069 100000\n5612 8412\n46639 69832\n28747 42949\n90922 100000\n12562 18833\n92769 100000\n203 308\n20427 30554\n70821 100000\n88038 100000\n12523 18775\n17882 26756\n20852 31173\n10099 15153\n43056 64414\n85625 100000\n3072 4631\n6741 10084\n37773 56486\n2418 3650\n19148 28633\n4453 6691\n93762 100000\n10605 15912\n62889 94340\n62081 93143\n5748 8610\n31583 47224\n49830 74656\n89567 100000\n45472 68061\n36549 54651\n19767 29550\n12287 18431\n93662 100000\n7444 11143\n22967 34335\n32048 47925\n50426 75546\n27462 41030\n4138 6228\n63183 94774\n85955 100000\n89752 100000\n54583 81819\n9130 13699\n71353 100000\n91706 100000\n2111 3185\n95971 100000\n74791 100000\n2426 3661\n40298 60302\n70412 100000\n69664 100000\n75029 100000\n3074 4634\n34330 51313\n6954 10396\n19406 29020\n95503 100000\n15479 23174\n14330 21467\n31307 46812\n25009 37361\n17015 25450\n54195 81243\n66369 99567\n25121 37530\n86721 100000\n16244 24323\n51646 77386\n63020 94533\n37957 56764\n62430 93656\n96584 100000\n85148 100000\n52696 78988\n80165 100000\n41211 61683\n32714 48911\n19899 29751\n92192 100000\n27360 40878\n56325 84438\n38117 57013\n77188 100000\n64617 96919\n90194 100000\n85031 100000\n41291 61804\n48272 72290\n36047 53887\n64 96\n30431 45487\n29233 43676\n15505 23216\n10446 15670\n59592 89382\n33155 49570\n92044 100000\n26471 39568\n28535 42625\n49711 74479\n11931 17893\n17483 26157\n60879 91322\n34017 50839\n96053 100000\n91741 100000\n11112 16656\n99241 100000\n72800 100000\n98706 100000\n42255 63222\n81987 100000\n58483 87720\n82169 100000\n74029 100000\n57071 85562\n36499 54573\n39943 59782\n29046 43401\n92652 100000\n19322 28889\n48005 71896\n99286 100000\n82940 100000\n38716 57936\n71682 100000\n46181 69132\n55288 82890\n58426 87639\n86621 100000\n43367 64885\n42078 62952\n79605 100000\n54097 81094\n45888 68691\n92582 100000\n70726 100000\n65303 97949\n14517 21745\n46312 69328\n91646 100000\n38777 58021\n77055 100000\n51364 76963\n95091 100000\n38784 58031\n43834 65600\n44283 66270\n92302 100000\n32668 48845\n3753 5642\n56583 84822\n30614 45759\n43377 64901\n52405 78543\n96615 100000\n82337 100000\n90317 100000\n37257 55712\n18063 27036\n14903 22316\n14749 22079\n79620 100000\n37295 55766\n78425 100000\n80789 100000\n79964 100000\n94658 100000\n83839 100000\n67134 100000\n2848 4296\n22235 33226\n25757 38477\n82573 100000\n49074 73498\n6294 9418\n25759 38481\n55523 83229\n41227 61706\n13383 20057\n34020 50844\n85990 100000\n25663 38336\n63963 95940\n77788 100000\n66311 99484\n73682 100000\n16164 24203\n25652 38317\n62927 94397\n39007 58372\n72630 100000\n4455 6693\n77425 100000\n77854 100000\n43243 64704\n16347 24467\n12457 18679\n43389 64920\n80471 100000\n59343 88994\n35430 52966\n50308 75372\n38045 56903\n61733 92604\n41130 61562\n22579 33754\n57273 85883\n1389 2106\n25710 38410\n50148 75129\n47451 71062\n94251 100000\n79546 100000\n88976 100000\n31166 46598\n27310 40806\n34782 52004\n52778 79108\n33991 50800\n39749 59494\n51553 77246\n79400 100000\n77958 100000\n86856 100000\n80841 100000\n90981 100000\n28317 42317\n16589 24817\n85199 100000\n2204 3326\n91674 100000\n51053 76487\n84559 100000\n25743 38457\n3692 5552\n72604 100000\n85841 100000\n5704 8545\n95836 100000\n62803 94207\n31569 47204\n76647 100000\n88195 100000\n50719 75976\n55232 82806\n38071 56944\n60556 90839\n49446 74080\n29877 44652\n97676 100000\n85101 100000\n52774 79101\n38083 56962\n72051 100000\n53251 79803\n28719 42909\n22000 32882\n46882 70195\n15432 23106\n10910 16360\n60235 90357\n42859 64124\n62964 94448\n31600 47251\n8593 12861\n49924 74796\n34688 51864\n38993 58350\n24555 36700\n95947 100000\n93581 100000\n42035 62888\n29781 44505\n57785 86672\n3230 4870\n68555 100000\n7024 10505\n72768 100000\n65082 97612\n86592 100000\n9047 13572\n41302 61820\n66554 99860\n94772 100000\n88799 100000\n10956 16431\n75019 100000\n1795 2702\n3313 4988\n52479 78656\n93695 100000\n10086 15133\n74980 100000\n91673 100000\n26394 39454\n81753 100000\n52232 78277\n3937 5938\n13142 19694\n44754 66973\n96230 100000\n39588 59250\n21163 31640\n1043 1594\n46780 70040\n21774 32553\n28329 42337\n27154 40577\n13538 20287\n35436 52975\n15126 22641\n62401 93617\n76028 100000\n89680 100000\n89575 100000\n75956 100000\n31799 47549\n83725 100000\n72465 100000\n68758 100000\n35810 53535\n82057 100000\n66440 99681\n17639 26389\n60992 91482\n58909 88348\n96969 100000\n34832 52075\n98421 100000\n82907 100000\n12321 18481\n44505 66608\n79635 100000\n85585 100000\n7873 11785\n37684 56352\n79020 100000\n91467 100000\n79819 100000\n79678 100000\n6313 9450\n47845 71653\n56414 84575\n34744 51947\n99766 100000\n6473 9677\n99773 100000\n28281 42264\n73309 100000\n8529 12766\n13373 20042\n91414 100000\n36426 54472\n66846 100000\n15252 22834\n93530 100000\n74944 100000\n24027 35935\n1939 2917\n16990 25413\n70799 100000\n26988 40329\n64590 96875\n40905 61219\n5398 8098\n79358 100000\n30347 45359\n4179 6291\n18608 27835\n23368 34944\n54943 82373\n7568 11333\n96421 100000\n27810 41551\n16238 24314\n32159 48090\n18640 27880\n61205 91817\n48122 72068\n95803 100000\n68151 100000\n47489 71116\n55710 83517\n53445 80103\n74249 100000\n53554 80271\n68260 100000\n51198 76702\n56539 84762\n57494 86216\n30486 45570\n14072 21072\n89918 100000\n79639 100000\n23288 34821\n62194 93316\n89573 100000\n95414 100000\n6260 9368\n1141 1744\n38000 56830\n9332 14003\n34277 51229\n99158 100000\n60454 90686\n99017 100000\n86596 100000\n20007 29910\n71826 100000\n40206 60173\n28757 42964\n73208 100000\n47715 71455\n4957 7446\n30271 45246\n55677 83467\n453 684\n57570 86334\n34283 51238\n23007 34395\n15742 23578\n98336 100000\n92091 100000\n83840 100000\n26493 39605\n72020 100000\n26544 39676\n31984 47823\n93928 100000\n8673 12991\n36737 54918\n97479 100000\n68084 100000\n21154 31628\n83079 100000\n26375 39425\n66931 100000\n87622 100000\n75579 100000\n27063 40443\n21947 32806\n1439 2178\n30041 44901\n55047 82538\n15973 23917\n56215 84267\n85506 100000\n81724 100000\n55281 82881\n94037 100000\n38880 58175\n15029 22499\n37417 55948\n78692 100000\n53644 80415\n65827 98742\n12870 19296\n66899 100000\n65305 97951\n69115 100000\n70365 100000\n94763 100000\n87034 100000\n75557 100000\n15627 23405\n84088 100000\n57361 86013\n23168 34641\n18035 26995\n86113 100000\n63745 95611\n65739 98612\n42960 64278\n74956 100000\n37111 55494\n28313 42311\n67580 100000\n53429 80079\n61998 93011\n1502 2277\n82824 100000\n39584 59245\n52613 78860\n80508 100000\n94445 100000\n12873 19299\n95079 100000\n27398 40937\n16065 24058\n95066 100000\n66830 100000\n52445 78603\n47114 70541\n15332 22953\n10525 15790\n50198 75203\n72582 100000\n28260 42233\n30484 45568\n7545 11301\n11625 17428\n85311 100000\n62403 93621\n50175 75168\n81858 100000\n26547 39680\n77859 100000\n97616 100000\n61401 92115\n13895 20806\n97261 100000\n53813 80659\n68804 100000\n24694 36902\n76303 100000\n88347 100000\n91645 100000\n75534 100000\n24134 36094\n14911 22328\n57108 85617\n60784 91179\n66534 99830\n91233 100000\n98817 100000\n72954 100000\n23384 34966\n50455 75594\n95932 100000\n48226 72223\n2971 4476\n97170 100000\n24932 37256\n84580 100000\n27906 41697\n41382 61939\n29104 43484\n27980 41806\n28800 43030\n19020 28439\n72044 100000\n978 1493\n93926 100000\n67498 100000\n14570 21820\n1981 2978\n59125 88663\n86962 100000\n73293 100000\n52177 78194\n36265 54216\n34799 52025\n22389 33458\n95937 100000\n76700 100000\n61439 92169\n7242 10840\n62816 94225\n39581 59240\n51795 77626\n62216 93350\n90038 100000\n15054 22537\n3740 5625\n13353 20012\n24096 36037\n66583 99905\n72590 100000\n99127 100000\n93907 100000\n32250 48228\n72296 100000\n57930 86888\n84892 100000\n23107 34554\n5587 8377\n657 1005\n80655 100000\n98354 100000\n52587 78824\n97619 100000\n62478 93723\n15093 22593\n85428 100000\n66121 99193\n66731 100000\n46011 68878\n56369 84505\n48948 73306\n51518 77195\n55864 83743\n53039 79489\n96225 100000\n74188 100000\n39077 58476\n40606 60773\n89470 100000\n48801 73081\n36266 54218\n56136 84152\n50936 76311\n54820 82189\n41167 61616\n45160 67583\n71242 100000\n54182 81227\n74321 100000\n78325 100000\n11997 17994\n26434 39513\n2278 3435\n80140 100000\n37730 56424\n72413 100000\n35474 53029\n23833 35639\n31963 47793\n36183 54093\n70480 100000\n40116 60036\n14312 21443\n5122 7690\n5724 8576\n1536 2325\n26517 39639\n4291 6451\n62823 94238\n43085 64461\n55446 83119\n148 222\n39257 58762\n48957 73320\n15136 22655\n6350 9506\n24368 36432\n12379 18566\n78205 100000\n39279 58794\n41399 61963\n78736 100000\n44486 66575\n79234 100000\n16707 24992\n58408 87615\n31104 46506\n44992 67328\n29614 44239\n99795 100000\n12421 18626\n52576 78808\n94324 100000\n41498 62100\n20751 31024\n37864 56626\n19116 28584\n823 1249\n44608 66762\n85320 100000\n74919 100000\n69023 100000\n83749 100000\n19386 28985\n30539 45647\n17141 25641\n26658 39838\n76420 100000\n22351 33400\n7969 11933\n92135 100000\n84365 100000\n17119 25608\n56688 84977\n47210 70686\n59551 89322\n13201 19782\n43399 64936\n1475 2235\n54616 81873\n4078 6140\n86692 100000\n66777 100000\n48846 73146\n1782 2680\n75052 100000\n45756 68488\n56875 85258\n49362 73949\n74131 100000\n47769 71541\n25219 37673\n23904 35748\n59643 89459\n57406 86081\n87586 100000\n22217 33201\n90469 100000\n19468 29111\n69820 100000\n20079 30025\n99053 100000\n86032 100000\n48088 72015\n56863 85242\n63787 95673\n5489 8228\n966 1471\n11279 16912\n46743 69985\n50774 76059\n78714 100000\n66990 100000\n15693 23504\n87904 100000\n24529 36659\n42122 63018\n78004 100000\n71422 100000\n39740 59482\n34386 51395\n77652 100000\n90550 100000\n11989 17981\n63950 95918\n66629 99975\n56478 84670\n25472 38059\n98883 100000\n92298 100000\n80543 100000\n54728 82049\n60935 91400\n10439 15659\n48849 73151\n69224 100000\n94845 100000\n4877 7334\n86549 100000\n55275 82871\n82098 100000\n74220 100000\n38614 57778\n79647 100000\n20263 30307\n39756 59503\n48998 73382\n10899 16344\n94024 100000\n32632 48792\n82227 100000\n41093 61505\n48819 73109\n76638 100000\n54935 82362\n66666 100000\n35040 52381\n96334 100000\n75849 100000\n63125 94688\n98750 100000\n61029 91540\n85806 100000\n15801 23661\n2116 3190\n89000 100000\n13671 20476\n9336 14007\n32614 48765\n19046 28474\n11476 17208\n4079 6141\n97468 100000\n82282 100000\n45030 67387\n95640 100000\n35367 52871\n55727 83546\n73064 100000\n83398 100000\n66795 100000\n3060 4613\n6699 10023\n30087 44967\n50570 75770\n13657 20457\n97441 100000\n91408 100000\n60185 90280\n14508 21730\n90490 100000\n71874 100000\n61242 91879\n14498 21714\n38272 57254\n3783 5688\n46806 70081\n5104 7665\n54512 81713\n96864 100000\n50475 75626\n18505 27688\n28606 42731\n44949 67266\n28687 42861\n99299 100000\n87807 100000\n16372 24503\n69508 100000\n10384 15581\n50887 76233\n94654 100000\n15015 22477\n13687 20498\n56501 84704\n41590 62237\n7220 10806\n91468 100000\n12904 19345\n28434 42481\n55658 83437\n19258 28797\n89787 100000\n54441 81610\n79376 100000\n18856 28203\n43689 65377\n72700 100000\n6609 9885\n44198 66145\n49844 74675\n31899 47698\n26038 38911\n81704 100000\n1211 1844\n93910 100000\n78414 100000\n63644 95461\n58655 87975\n62361 93564\n58715 88067\n33041 49398\n35702 53375\n36682 54834\n60195 90296\n64349 96514\n5406 8109\n86837 100000\n70161 100000\n92576 100000\n22069 32986\n19088 28539\n79458 100000\n45710 68419\n64881 97310\n9547 14315\n91917 100000\n77753 100000\n64067 96090\n73007 100000\n94044 100000\n11299 16943\n32811 49061\n83510 100000\n79143 100000\n59942 89908\n54247 81318\n5691 8526\n39099 58507\n80056 100000\n47748 71506\n59498 89236\n65192 97783\n13647 20445\n32987 49318\n53012 79449\n89453 100000\n91277 100000\n25921 38729\n46799 70071\n73482 100000\n38866 58154\n68299 100000\n5594 8387\n16142 24172\n59763 89637\n15535 23260\n76924 100000\n32164 48097\n81191 100000\n96178 100000\n15379 23022\n94665 100000\n29483 44040\n10456 15684\n7606 11387\n97407 100000\n1328 2015\n43813 65567\n5954 8911\n76644 100000\n72830 100000\n29141 43535\n11590 17375\n86683 100000\n90595 100000\n36312 54290\n70097 100000\n72247 100000\n2709 4085\n70055 100000\n94000 100000\n24187 36171\n19244 28775\n86432 100000\n24004 35904\n56047 84019\n78594 100000\n20326 30397\n12793 19176\n3659 5495\n37815 56553\n96449 100000\n96779 100000\n62112 93191\n62225 93363\n4361 6557\n56965 85397\n3551 5345\n91898 100000\n59990 89987\n83152 100000\n74255 100000\n93450 100000\n66422 99658\n60770 91159\n42110 63002\n77536 100000\n94692 100000\n18955 28352\n84978 100000\n80531 100000\n1893 2850\n96732 100000\n5806 8692\n71099 100000\n78233 100000\n48389 72461\n2538 3827\n31262 46743\n47961 71827\n35770 53474\n1546 2340\n91641 100000\n6110 9150\n19712 29470\n49056 73471\n97470 100000\n85564 100000\n31668 47367\n84549 100000\n98655 100000\n95713 100000\n8608 12885\n61229 91855\n26721 39933\n68833 100000\n9453 14182\n69404 100000\n62711 94065\n28267 42243\n87575 100000\n87613 100000\n73286 100000\n19562 29245\n44455 66528\n50414 75531\n28347 42363\n61051 91575\n21007 31404\n89483 100000\n55712 83521\n98567 100000\n60803 91206\n63120 94682\n58819 88217\n65335 97997\n64000 95992\n61094 91637\n14188 21255\n37869 56634\n10913 16366\n64581 96861\n40737 60966\n36638 54776\n13867 20767\n22457 33567\n48197 72177\n4930 7410\n51759 77561\n73733 100000\n30166 45082\n58434 87649\n21400 31989\n76968 100000\n14527 21760\n94362 100000\n27846 41606\n58362 87540\n61161 91749\n73621 100000\n26431 39509\n19211 28726\n61594 92397\n33494 50066\n98526 100000\n15858 23743\n9164 13750\n28447 42503\n64701 97042\n88626 100000\n89243 100000\n1983 2981\n49198 73694\n96402 100000\n58358 87534\n91001 100000\n17469 26134\n89938 100000\n24174 36150\n25324 37834\n44550 66670\n98702 100000\n47815 71608\n66230 99356\n52865 79232\n95758 100000\n76535 100000\n44766 66990\n88944 100000\n65200 97795\n48671 72891\n74881 100000\n6484 9690\n68642 100000\n5403 8106\n4129 6214\n74213 100000\n20015 29924\n49100 73539\n65415 98121\n85270 100000\n12271 18405\n13411 20096\n55482 83170\n27412 40956\n69203 100000\n67063 100000\n42923 64225\n34156 51052\n27649 41314\n25961 38790\n78535 100000\n79719 100000\n43140 64546\n6812 10189\n30352 45366\n93521 100000\n19399 29008\n55754 83586\n15139 22659\n76760 100000\n14173 21231\n7032 10516\n63057 94586\n63977 95961\n79419 100000\n82921 100000\n19959 29838\n12860 19279\n59443 89154\n30300 45290\n30755 45981\n76446 100000\n18031 26987\n9826 14741\n26296 39308\n70493 100000\n87275 100000\n8746 13104\n35282 52743\n90840 100000\n94237 100000\n10131 15194\n10240 15367\n44694 66885\n94157 100000\n71592 100000\n31892 47689\n15368 23004\n92413 100000\n44367 66400\n36371 54384\n93346 100000\n95909 100000\n75770 100000\n14681 21975\n37996 56824\n59058 88563\n74584 100000\n18111 27104\n15886 23786\n63878 95806\n18543 27740\n23163 34633\n26917 40225\n65353 98025\n2006 3019\n79873 100000\n57834 86743\n58034 87040\n73801 100000\n98346 100000\n19872 29709\n55030 82511\n43095 64477\n91930 100000\n61955 92947\n25906 38706\n64898 97334\n16042 24022\n66080 99130\n1753 2641\n71636 100000\n84591 100000\n66387 99598\n41244 61734\n69901 100000\n54038 81007\n24445 36541\n13176 19742\n23010 34400\n56808 85157\n93541 100000\n22911 34254\n94927 100000\n96218 100000\n19117 28586\n64282 96410\n37573 56180\n78558 100000\n87099 100000\n25711 38412\n48158 72123\n81861 100000\n88748 100000\n3238 4884\n573 869\n15077 22570\n78215 100000\n42631 63786\n65686 98529\n90263 100000\n92701 100000\n97157 100000\n35975 53777\n5445 8164\n17683 26453\n9100 13653\n81618 100000\n72985 100000\n1919 2887\n82174 100000\n57239 85829\n5187 7793\n43853 65626\n8978 13464\n77639 100000\n34541 51644\n99291 100000\n64629 96938\n84023 100000\n16116 24135\n80342 100000\n10565 15855\n61069 91602\n96936 100000\n8501 12728\n78913 100000\n59650 89470\n88365 100000\n15665 23463\n37400 55922\n7373 11038\n13174 19739\n20160 30149\n54833 82207\n11275 16906\n3891 5859\n75532 100000\n39776 59533\n6009 8998\n17859 26720\n36071 53929\n87222 100000\n99984 100000\n74244 100000\n36944 55234\n62994 94496\n39337 58882\n89842 100000\n15959 23895\n46553 69701\n64167 96241\n62667 94000\n93424 100000\n40210 60178\n25718 38420\n25328 37839\n55875 83759\n13616 20400\n38413 57466\n56834 85193\n62006 93021\n74976 100000\n65165 97740\n19083 28531\n85505 100000\n32760 48981\n77710 100000\n46707 69934\n81300 100000\n98788 100000\n73723 100000\n54002 80947\n18684 27950\n60058 90087\n80976 100000\n17895 26777\n1743 2626\n20974 31353\n79897 100000\n58889 88318\n90180 100000\n24321 36365\n65625 98441\n62343 93539\n64722 97074\n57634 86434\n10996 16488\n79456 100000\n13694 20509\n27131 40545\n86691 100000\n28866 43136\n61526 92301\n53610 80359\n53044 79496\n73018 100000\n40995 61358\n60816 91226\n30241 45199\n23227 34733\n71691 100000\n72986 100000\n65716 98574\n55878 83763\n35013 52342\n62546 93824\n32175 48115\n73737 100000\n63121 94684\n13894 20805\n7937 11887\n55241 82820\n25949 38770\n95601 100000\n91165 100000\n73138 100000\n75503 100000\n6377 9546\n56179 84220\n67983 100000\n87993 100000\n67866 100000\n67647 100000\n60174 90262\n4209 6336\n71937 100000\n20299 30358\n30382 45414\n98478 100000\n72835 100000\n28625 42764\n61244 91882\n31579 47219\n74916 100000\n88422 100000\n66813 100000\n33431 49967\n11032 16541\n15776 23625\n90225 100000\n40987 61346\n36757 54946\n77522 100000\n97954 100000\n73175 100000\n23831 35637\n21707 32454\n78990 100000\n77457 100000\n5755 8620\n28023 41872\n6649 9947\n59796 89686\n41454 62039\n1682 2541\n33981 50784\n1174 1793\n6038 9039\n1717 2591\n69638 100000\n67481 100000\n88967 100000\n77242 100000\n59232 88828\n16572 24793\n61678 92524\n34619 51760\n45159 67581\n50478 75631\n34917 52199\n15036 22509\n55660 83440\n67261 100000\n66200 99319\n47718 71458\n7213 10795\n76270 100000\n64310 96454\n78574 100000\n21710 32459\n27877 41653\n22516 33655\n37880 56652\n40240 60219\n41633 62300\n50808 76111\n91047 100000\n56367 84502\n74283 100000\n34235 51172\n92886 100000\n32770 48994\n10837 16248\n41128 61558\n29582 44189\n21408 31999\n84177 100000\n72813 100000\n34843 52089\n14472 21679\n24696 36905\n69151 100000\n11569 17344\n68802 100000\n27839 41597\n34145 51034\n18134 27136\n11390 17079\n49 69\n79352 100000\n41378 61934\n4073 6132\n40034 59913\n64210 96304\n61255 91900\n68388 100000\n19452 29088\n61766 92656\n88755 100000\n29798 44530\n40192 60152\n9797 14698\n6183 9254\n14945 22375\n16368 24497\n43972 65806\n7656 11460\n89245 100000\n16481 24656\n38537 57659\n27892 41676\n90699 100000\n68680 100000\n71080 100000\n6915 10343\n18551 27750\n67655 100000\n43956 65784\n84932 100000\n93556 100000\n23555 35222\n65146 97709\n10641 15966\n6396 9572\n69193 100000\n60133 90201\n17199 25736\n51729 77514\n68136 100000\n27187 40622\n69737 100000\n18487 27661\n37292 55762\n5093 7650\n92242 100000\n49911 74777\n22792 34080\n2398 3619\n43993 65839\n35353 52852\n55292 82896\n12173 18256\n47768 71540\n28412 42449\n85061 100000\n58156 87220\n96600 100000\n85667 100000\n98328 100000\n68625 100000\n13071 19590\n96340 100000\n68796 100000\n97653 100000\n33547 50142\n21324 31876\n41238 61723\n26562 39705\n31018 46375\n95088 100000\n57371 86028\n12883 19315\n16817 25151\n24979 37319\n36132 54023\n10901 16347\n82242 100000\n76776 100000\n81257 100000\n53123 79618\n47077 70480\n45470 68057\n51035 76460\n28257 42230\n92474 100000\n89418 100000\n37590 56205\n53106 79591\n80673 100000\n42757 63978\n53407 80043\n33371 49883\n63400 95101\n3360 5055\n311 467\n79803 100000\n8217 12301\n3057 4609\n6198 9275\n74348 100000\n25157 37582\n8383 12551\n45170 67600\n35036 52376\n7900 11827\n82606 100000\n83721 100000\n54435 81600\n41182 61641\n33150 49563\n73486 100000\n44492 66585\n2163 3257\n37001 55321\n89948 100000\n53347 79949\n97301 100000\n65336 97999\n95584 100000\n66051 99085\n77636 100000\n87029 100000\n43682 65366\n44089 65981\n47907 71750\n66180 99285\n8928 13387\n10983 16471\n95652 100000\n34013 50832\n16745 25050\n1899 2859\n91784 100000\n660 1009\n98233 100000\n97780 100000\n71103 100000\n94440 100000\n98967 100000\n52016 77955\n63377 95069\n80510 100000\n31529 47148\n84314 100000\n66642 99994\n50031 74950\n93273 100000\n50150 75132\n508 770\n76824 100000\n11500 17244\n23011 34402\n19825 29635\n44496 66592\n20998 31391\n30950 46269\n97222 100000\n43026 64372\n75908 100000\n51722 77503\n24093 36033\n24747 36984\n40302 60308\n5536 8298\n94510 100000\n92138 100000\n84819 100000\n27562 41179\n11899 17842\n74072 100000\n2138 3224\n36773 54968\n44889 67168\n14564 21812\n32797 49037\n27555 41168\n60819 91231\n47960 71826\n37806 56537\n26715 39923\n85582 100000\n37147 55548\n66302 99471\n1294 1966\n13473 20188\n74173 100000\n11820 17719\n52211 78246\n39508 59129\n1686 2547\n5871 8786\n13648 20446\n2722 4103\n30540 45648\n77332 100000\n18075 27052\n75284 100000\n46261 69255\n65922 98886\n76792 100000\n25674 38353\n13489 20210\n12357 18532\n75867 100000\n88964 100000\n16487 24664\n26112 39023\n59219 88808\n24183 36164\n31326 46839\n18267 27333\n13600 20374\n67399 100000\n18247 27303\n22979 34352\n38470 57557\n16554 24767\n79853 100000\n82286 100000\n55693 83490\n96168 100000\n31468 47052\n82447 100000\n10814 16219\n82717 100000\n44084 65974\n94867 100000\n42798 64034\n28367 42388\n57263 85867\n27841 41599\n46124 69043\n22938 34294\n7605 11385\n87578 100000\n97147 100000\n60069 90102\n13019 19514\n12303 18454\n66687 100000\n46047 68932\n25651 38316\n93210 100000\n45401 67953\n14519 21748\n2963 4464\n86402 100000\n43014 64355\n69468 100000\n73133 100000\n73225 100000\n95692 100000\n4693 7058\n53373 79995\n86728 100000\n96872 100000\n79513 100000\n42826 64077\n91195 100000\n69560 100000\n11470 17200\n17473 26141\n97078 100000\n49879 74731\n35886 53643\n12534 18792\n13103 19635\n95435 100000\n43340 64842\n65741 98615\n40900 61211\n53354 79960\n51898 77774\n26771 40004\n79180 100000\n58183 87258\n57100 85606\n53109 79596\n2866 4320\n96847 100000\n48639 72841\n83064 100000\n29827 44573\n41118 61544\n69729 100000\n8920 13372\n19217 28734\n64458 96663\n79637 100000\n45426 67990\n57769 86645\n97799 100000\n11048 16564\n22941 34300\n89731 100000\n56450 84626\n17663 26427\n19074 28517\n79951 100000\n91492 100000\n82777 100000\n64907 97348\n15662 23459\n61194 91800\n19129 28606\n57823 86729\n4194 6314\n68402 100000\n27522 41121\n56167 84202\n82910 100000\n12770 19144\n11923 17881\n80626 100000\n26971 40305\n705 1070\n57857 86778\n15803 23663\n79507 100000\n69218 100000\n47225 70707\n20938 31298\n33049 49411\n97828 100000\n7267 10878\n85423 100000\n81324 100000\n81661 100000\n57034 85503\n15545 23277\n68308 100000\n43092 64472\n45293 67789\n55822 83682\n2990 4506\n82735 100000\n42021 62865\n43348 64856\n2102 3170\n52310 78406\n35724 53407\n44126 66039\n98351 100000\n21010 31410\n50075 75015\n62333 93524\n47362 70922\n68150 100000\n76403 100000\n88961 100000\n32571 48701\n58750 88116\n40922 61244\n24379 36446\n41 56\n40970 61316\n78890 100000\n26380 39432\n29251 43704\n36884 55145\n90724 100000\n2679 4038\n40775 61028\n16756 25063\n87631 100000\n48741 72994\n67425 100000\n19548 29223\n24283 36310\n94282 100000\n62244 93392\n92633 100000\n69962 100000\n72443 100000\n39204 58673\n82678 100000\n61000 91493\n58046 87060\n38026 56872\n18511 27698\n31827 47588\n30296 45284\n30795 46038\n16492 24671\n75996 100000\n72905 100000\n82335 100000\n74069 100000\n94492 100000\n72566 100000\n51726 77510\n44087 65978\n28813 43051\n54216 81272\n18628 27863\n21866 32688\n51124 76595\n9528 14286\n7469 11185\n76901 100000\n85208 100000\n31225 46684\n76155 100000\n76209 100000\n7564 11327\n37324 55810\n45295 67793\n22289 33308\n58192 87273\n27445 41007\n74386 100000\n34586 51712\n56237 84297\n54719 82034\n58225 87325\n35991 53802\n75974 100000\n50397 75504\n77244 100000\n73846 100000\n82389 100000\n61297 91962\n66765 100000\n57935 86895\n95149 100000\n69588 100000\n99618 100000\n87924 100000\n81966 100000\n50729 75992\n18916 28294\n23854 35672\n18256 27317\n37389 55905\n56969 85402\n33937 50711\n37502 56074\n11042 16556\n33894 50649\n17760 26566\n27904 41694\n72345 100000\n67768 100000\n4504 6770\n19022 28441\n83665 100000\n19932 29796\n53438 80094\n44904 67193\n75947 100000\n75097 100000\n94572 100000\n51673 77427\n87205 100000\n11560 17330\n46570 69728\n55760 83595\n90075 100000\n54951 82388\n76395 100000\n97481 100000\n11176 16749\n64752 97121\n20399 30510\n98637 100000\n76795 100000\n11800 17695\n78930 100000\n16863 25224\n97899 100000\n44134 66049\n15834 23704\n17122 25614\n17503 26186\n68844 100000\n18427 27575\n29303 43773\n60655 90984\n81884 100000\n30742 45962\n47073 70473\n50451 75588\n35429 52965\n27064 40445\n15325 22943\n32410 48462\n56887 85278\n64063 96085\n62027 93053\n1925 2896\n94711 100000\n55800 83652\n31882 47672\n97829 100000\n18931 28317\n46428 69511\n44024 65883\n71041 100000\n79703 100000\n58216 87312\n58729 88085\n35242 52680\n32411 48463\n34627 51772\n22124 33068\n69467 100000\n33054 49420\n52569 78799\n9584 14368\n99559 100000\n28988 43313\n204 309\n95520 100000\n5100 7660\n43687 65374\n68432 100000\n23132 34591\n79571 100000\n72670 100000\n58377 87564\n48150 72112\n76908 100000\n89034 100000\n83367 100000\n6242 9340\n75665 100000\n53497 80185\n95490 100000\n92011 100000\n97852 100000\n75739 100000\n73368 100000\n4744 7134\n53141 79644\n83212 100000\n78707 100000\n20203 30207\n71768 100000\n7950 11907\n10926 16385\n26299 39312\n92786 100000\n29694 44373\n29461 44006\n7974 11941\n6390 9565\n37219 55656\n84265 100000\n67718 100000\n45205 67653\n52925 79320\n30956 46277\n29281 43745\n27587 41218\n39296 58816\n94447 100000\n64353 96520\n40490 60598\n46512 69643\n88160 100000\n17761 26568\n4622 6952\n35433 52971\n87113 100000\n34359 51355\n87965 100000\n50167 75155\n31073 46463\n31347 46868\n45329 67844\n18359 27471\n29640 44285\n93318 100000\n15108 22617\n72723 100000\n31592 47239\n75045 100000\n23212 34708\n17085 25557\n85869 100000\n97602 100000\n6211 9295\n54342 81458\n66685 100000\n5446 8165\n69792 100000\n91569 100000\n14856 22245\n98573 100000\n73552 100000\n61100 91647\n53522 80224\n60748 91126\n15651 23439\n10673 16011\n30909 46207\n37234 55679\n28722 42912\n68149 100000\n51147 76627\n94596 100000\n30293 45278\n14934 22360\n89117 100000\n10159 15239\n52137 78143\n57903 86846\n98363 100000\n71038 100000\n23826 35631\n91798 100000\n70406 100000\n16653 24911\n51328 76905\n70050 100000\n33710 50382\n84334 100000\n81101 100000\n40695 60904\n65431 98143\n26574 39722\n92513 100000\n87021 100000\n6939 10376\n58384 87574\n65479 98219\n4695 7061\n42681 63861\n34398 51413\n6668 9974\n96315 100000\n93052 100000\n9018 13528\n32492 48580\n49231 73748\n65300 97945\n19790 29581\n51178 76672\n85255 100000\n50290 75343\n41899 62685\n84145 100000\n1715 2589\n66845 100000\n12991 19472\n7800 11676\n42494 63580\n79314 100000\n12387 18578\n5148 7726\n6948 10387\n82044 100000\n71227 100000\n69009 100000\n33158 49573\n74052 100000\n79367 100000\n11695 17536\n29813 44552\n69247 100000\n2480 3743\n24128 36084\n73158 100000\n9234 13860\n21853 32671\n17522 26215\n13345 20000\n64780 97155\n61497 92257\n67649 100000\n30547 45659\n44203 66151\n26585 39736\n34400 51417\n65229 97841\n33182 49612\n67306 100000\n17624 26367\n47137 70579\n63591 95378\n98975 100000\n44197 66144\n22341 33384\n76628 100000\n95848 100000\n56121 84130\n14045 21035\n1870 2814\n89554 100000\n57279 85892\n64199 96289\n5206 7820\n31736 47461\n72366 100000\n35109 52485\n15749 23585\n71784 100000\n79751 100000\n8561 12813\n1679 2538\n37537 56124\n48475 72587\n48110 72049\n63709 95559\n63297 94947\n24391 36461\n3187 4806\n7283 10902\n47310 70836\n88333 100000\n57902 86844\n70741 100000\n45298 67798\n33861 50600\n41502 62107\n83946 100000\n20017 29926\n43247 64708\n35343 52835\n45503 68105\n5185 7790\n97215 100000\n64660 96979\n21646 32361\n65463 98195\n25210 37662\n4544 6835\n92259 100000\n35616 53240\n72894 100000\n16690 24967\n40152 60090\n18658 27908\n51987 77913\n9217 13834\n9767 14656\n53674 80461\n7040 10528\n60156 90236\n65265 97894\n89690 100000\n69094 100000\n76713 100000\n4825 7258\n65558 98336\n7422 11110\n95900 100000\n94491 100000\n43267 64735\n79836 100000\n31365 46897\n13120 19661\n26390 39448\n6388 9563\n63261 94891\n81929 100000\n10282 15432\n49199 73695\n58390 87583\n95226 100000\n41714 62414\n66470 99731\n92635 100000\n59761 89634\n26669 39854\n76528 100000\n29481 44037\n23706 35446\n25153 37576\n84014 100000\n57844 86757\n83020 100000\n10540 15812\n21766 32542\n39375 58931\n1337 2028\n58660 87982\n12460 18683\n36272 54228\n12593 18882\n30022 44873\n68900 100000\n69458 100000\n10601 15907\n7540 11293\n64829 97232\n13067 19583\n84805 100000\n51454 77097\n54299 81392\n53626 80384\n28146 42057\n67256 100000\n55793 83641\n57573 86339\n34718 51908\n67204 100000\n6505 9723\n41340 61880\n45909 68722\n13857 20754\n81090 100000\n20379 30476\n33692 50355\n33724 50403\n50610 75828\n9567 14344\n87698 100000\n2288 3451\n11912 17864\n70696 100000\n98791 100000\n48526 72668\n43603 65252\n36435 54483\n78257 100000\n61289 91952\n74771 100000\n38076 56951\n59000 88480\n44189 66131\n1258 1914\n4046 6097\n65720 98582\n21786 32572\n51121 76592\n8086 12106\n92982 100000\n36531 54624\n94648 100000\n31774 47512\n45911 68726\n88805 100000\n70054 100000\n82092 100000\n29322 43802\n61128 91693\n86180 100000\n64824 97224\n3393 5107\n60225 90339\n43759 65484\n41512 62123\n33611 50241\n1464 2217\n1903 2865\n45270 67754\n25119 37528\n54647 81925\n87306 100000\n65441 98158\n80551 100000\n34880 52142\n34821 52058\n61736 92609\n66582 99903\n86128 100000\n15751 23588\n26343 39379\n90359 100000\n41433 62008\n50652 75884\n60841 91263\n33924 50692\n24796 37056\n75988 100000\n46884 70197\n70127 100000\n71588 100000\n97446 100000\n67790 100000\n96054 100000\n81127 100000\n11056 16577\n98465 100000\n59314 88952\n37838 56588\n7261 10869\n568 862\n14118 21145\n13966 20919\n36648 54788\n96975 100000\n33366 49875\n30990 46332\n35613 53235\n13566 20328\n23986 35875\n76106 100000\n20449 30586\n88871 100000\n81780 100000\n70455 100000\n25402 37959\n32371 48407\n45447 68019\n26139 39063\n62537 93810\n91058 100000\n53917 80820\n59493 89229\n55358 82989\n87986 100000\n77968 100000\n36627 54757\n65849 98773\n93191 100000\n63775 95655\n77197 100000\n56567 84799\n69265 100000\n41922 62721\n9711 14566\n31061 46443\n54582 81818\n35076 52435\n58465 87696\n47435 71038\n99561 100000\n71554 100000\n32275 48263\n75126 100000\n80131 100000\n61898 92861\n78634 100000\n46222 69194\n97648 100000\n11925 17883\n54427 81587\n44208 66158\n86143 100000\n58657 87979\n60167 90251\n53006 79440\n83594 100000\n1804 2713\n72809 100000\n16268 24357\n39430 59012\n78434 100000\n608 925\n50462 75606\n92115 100000\n87173 100000\n74961 100000\n20509 30681\n44483 66571\n10224 15342\n99721 100000\n31178 46615\n76827 100000\n84613 100000\n30325 45327\n50603 75817\n14419 21598\n64267 96390\n62505 93763\n15191 22741\n88643 100000\n50938 76314\n51790 77617\n7558 11319\n13358 20020\n95443 100000\n4833 7271\n17041 25492\n57188 85750\n62680 94022\n363 543\n9001 13502\n51209 76719\n90084 100000\n76650 100000\n59276 88889\n7987 11959\n61888 92846\n29602 44220\n96840 100000\n43927 65746\n72040 100000\n87342 100000\n90829 100000\n75103 100000\n61407 92126\n60170 90256\n13232 19827\n53444 80102\n27785 41514\n82356 100000\n58276 87406\n75176 100000\n76601 100000\n73707 100000\n38265 57243\n24888 37190\n39739 59481\n20134 30111\n92188 100000\n62774 94159\n96101 100000\n27930 41733\n54574 81807\n94089 100000\n800 1214\n25187 37630\n57905 86850\n60533 90805\n4905 7373\n91536 100000\n83111 100000\n25933 38746\n83611 100000\n90198 100000\n70934 100000\n25025 37383\n6635 9928\n67180 100000\n22760 34034\n72942 100000\n41751 62469\n41304 61822\n58352 87527\n94127 100000\n70750 100000\n46269 69266\n69088 100000\n85888 100000\n99983 100000\n36486 54554\n60727 91094\n31097 46497\n51585 77295\n28578 42686\n98933 100000\n99695 100000\n80907 100000\n68124 100000\n90218 100000\n33202 49638\n6522 9750\n37635 56273\n95481 100000\n12832 19237\n69086 100000\n74797 100000\n49820 74640\n7895 11820\n99026 100000\n65271 97903\n46434 69520\n33781 50483\n36676 54826\n45838 68614\n70972 100000\n69531 100000\n77563 100000\n23938 35804\n92966 100000\n2087 3148\n66803 100000\n87055 100000\n43817 65573\n89803 100000\n77290 100000\n99807 100000\n58824 88222\n71247 100000\n28078 41954\n32616 48768\n27167 40597\n84386 100000\n86853 100000\n56667 84948\n81374 100000\n50298 75358\n16457 24625\n22407 33489\n20660 30895\n69100 100000\n77986 100000\n4653 6996\n66276 99433\n5033 7562\n1942 2920\n22762 34038\n46572 69731\n58512 87765\n63558 95331\n94822 100000\n31497 47096\n36791 54998\n4552 6845\n40875 61174\n65634 98454\n97458 100000\n22646 33860\n62447 93678\n68072 100000\n15055 22539\n37620 56250\n41165 61613\n82512 100000\n188 286\n34136 51020\n51955 77866\n21763 32539\n56589 84830\n87143 100000\n43772 65503\n85379 100000\n54681 81975\n665 1016\n77404 100000\n78984 100000\n60147 90223\n45303 67804\n83992 100000\n83077 100000\n40089 59996\n11991 17983\n69028 100000\n8394 12566\n74554 100000\n85239 100000\n30626 45779\n98685 100000\n1629 2468\n97851 100000\n81710 100000\n75979 100000\n22800 34091\n89279 100000\n94541 100000\n7723 11562\n11867 17791\n54949 82385\n20178 30174\n63442 95163\n30819 46076\n17103 25580\n56514 84724\n74058 100000\n23619 35316\n77172 100000\n18982 28391\n93754 100000\n36581 54694\n21671 32398\n31628 47298\n98137 100000\n90553 100000\n79470 100000\n43214 64660\n44243 66210\n76662 100000\n1892 2849\n33648 50290\n22008 32895\n79081 100000\n74559 100000\n11339 16998\n13086 19613\n97115 100000\n662 1012\n91601 100000\n4630 6962\n34733 51931\n17037 25485\n87752 100000\n92863 100000\n74585 100000\n95549 100000\n76178 100000\n47946 71803\n9723 14585\n87632 100000\n77719 100000\n3922 5913\n26729 39944\n78849 100000\n34062 50908\n16416 24568\n64226 96330\n59598 89392\n14689 21990\n16063 24055\n51438 77075\n14290 21411\n34851 52101\n60998 91491\n94004 100000\n50728 75991\n80250 100000\n34432 51464\n83355 100000\n31285 46776\n11710 17560\n65270 97901\n7346 10997\n87558 100000\n53414 80055\n10789 16185\n41738 62451\n85589 100000\n96672 100000\n57819 86724\n11137 16692\n50769 76050\n103 159\n83211 100000\n91787 100000\n98411 100000\n52296 78387\n29023 43368\n7197 10772\n30653 45818\n83228 100000\n98186 100000\n11649 17468\n88876 100000\n47760 71525\n53834 80689\n93433 100000\n60774 91163\n73405 100000\n50651 75883\n34599 51730\n88578 100000\n5551 8324\n45679 68369\n79202 100000\n91127 100000\n27575 41198\n20665 30901\n94230 100000\n5749 8611\n33592 50214\n36624 54754\n64281 96409\n12353 18526\n1941 2919\n3776 5676\n34224 51156\n83783 100000\n45770 68510\n85094 100000\n35596 53213\n54758 82094\n25661 38332\n68604 100000\n25382 37927\n4601 6917\n10194 15292\n40207 60175\n28377 42402\n62414 93634\n67878 100000\n29330 43813\n90169 100000\n93024 100000\n48365 72426\n8131 12175\n64485 96707\n80414 100000\n21588 32276\n47215 70692\n92027 100000\n38342 57354\n80157 100000\n71491 100000\n38011 56847\n2925 4405\n43572 65197\n75701 100000\n12011 18014\n35358 52860\n95155 100000\n72307 100000\n37054 55407\n91651 100000\n74144 100000\n68415 100000\n36501 54577\n93875 100000\n66115 99183\n90479 100000\n24870 37162\n23759 35527\n98141 100000\n40393 60454\n48165 72133\n49577 74279\n82322 100000\n46161 69100\n20617 30832\n19066 28506\n92265 100000\n22947 34308\n49903 74765\n20695 30947\n41710 62408\n99079 100000\n44306 66306\n22127 33072\n77966 100000\n44081 65969\n27505 41094\n53124 79620\n60219 90330\n16964 25374\n87791 100000\n75661 100000\n98499 100000\n36883 55143\n78713 100000\n57893 86833\n3009 4535\n69146 100000\n81967 100000\n46756 70006\n84781 100000\n60665 90999\n52271 78346\n50101 75056\n36569 54678\n90980 100000\n77732 100000\n58855 88269\n57393 86058\n37749 56451\n52218 78256\n42441 63504\n96480 100000\n50822 76135\n76389 100000\n90109 100000\n44510 66614\n36227 54160\n9291 13941\n40458 60551\n15785 23638\n27692 41370\n37073 55438\n2419 3651\n79224 100000\n50638 75864\n81933 100000\n48696 72928\n6108 9147\n13348 20004\n48941 73294\n79725 100000\n29057 43417\n33344 49845\n79709 100000\n50683 75929\n11812 17709\n63509 95254\n25868 38651\n40678 60879\n85656 100000\n84660 100000\n30643 45803\n92845 100000\n35255 52700\n99064 100000\n15453 23135\n92668 100000\n725 1103\n17061 25521\n31019 46376\n76680 100000\n58005 87000\n742 1132\n61108 91659\n22283 33298\n42036 62890\n30625 45777\n79187 100000\n83660 100000\n80799 100000\n19923 29782\n4330 6508\n33398 49923\n99005 100000\n39346 58894\n95924 100000\n47401 70986\n28774 42990\n82960 100000\n13934 20868\n1024 1565\n43635 65299\n90791 100000\n27816 41558\n10199 15300\n42273 63252\n66129 99206\n34151 51043\n72204 100000\n71046 100000\n69681 100000\n13950 20891\n95193 100000\n43964 65794\n4166 6273\n17330 25931\n87132 100000\n37150 55552\n54489 81682\n90833 100000\n95394 100000\n32596 48739\n67985 100000\n32980 49306\n59327 88969\n14303 21431\n43055 64412\n91993 100000\n60775 91164\n49565 74261\n90284 100000\n19728 29495\n63487 95225\n14894 22302\n5624 8429\n91048 100000\n73356 100000\n5767 8638\n39838 59627\n35449 52993\n57297 85920\n13226 19817\n71203 100000\n67551 100000\n16474 24647\n40946 61284\n10855 16276\n56205 84255\n66411 99639\n41516 62130\n43407 64946\n10230 15351\n57544 86294\n75489 100000\n23065 34487\n22249 33248\n99198 100000\n46964 70314\n69511 100000\n35456 53005\n50588 75797\n52656 78923\n44147 66067\n38609 57772\n2670 4023\n93088 100000\n897 1368\n46933 70268\n97655 100000\n61294 91958\n60405 90606\n60544 90821\n26361 39407\n99415 100000\n73670 100000\n96900 100000\n59937 89900\n5134 7706\n75036 100000\n20278 30326\n20279 30327\n26746 39968\n7892 11816\n35811 53536\n92799 100000\n54229 81290\n29272 43734\n37222 55662\n10241 15368\n7270 10883\n86294 100000\n81892 100000\n24410 36488\n42718 63918\n41811 62556\n45277 67766\n1683 2543\n10495 15746\n28656 42812\n46873 70182\n37681 56347\n6746 10091\n12790 19173\n68228 100000\n45984 68838\n70320 100000\n96788 100000\n13051 19563\n28884 43161\n9489 14234\n30037 44893\n74943 100000\n11857 17776\n3226 4863\n58918 88361\n3628 5449\n91943 100000\n77413 100000\n17387 26014\n17611 26345\n71340 100000\n95822 100000\n44397 66446\n92018 100000\n10402 15608\n21590 32278\n19711 29469\n90049 100000\n48025 71921\n86331 100000\n48047 71954\n79435 100000\n49416 74033\n32904 49195\n39080 58480\n34237 51174\n27206 40650\n8901 13341\n88625 100000\n41904 62694\n23713 35458\n51891 77766\n61631 92451\n87465 100000\n19934 29799\n96718 100000\n59456 89175\n95804 100000\n46725 69959\n38207 57154\n2079 3135\n78724 100000\n93622 100000\n42393 63438\n17776 26592\n78285 100000\n69337 100000\n86964 100000\n30185 45113\n75526 100000\n2120 3195\n28333 42342\n53717 80527\n62090 93156\n38449 57524\n10218 15331\n84594 100000\n65520 98278\n30611 45754\n66877 100000\n5019 7541\n21303 31844\n38748 57983\n25523 38131\n35470 53024\n73245 100000\n93291 100000\n15037 22511\n52345 78456\n13931 20864\n35793 53508\n9554 14324\n98053 100000\n5341 8013\n40142 60075\n24417 36497\n61880 92832\n79807 100000\n64183 96266\n82919 100000\n36244 54184\n59977 89965\n21456 32077\n86726 100000\n23714 35460\n42403 63452\n95166 100000\n22153 33110\n86165 100000\n18045 27008\n66863 100000\n65710 98565\n60460 90698\n56763 85089\n22171 33138\n36665 54813\n29012 43352\n6461 9659\n91538 100000\n25665 38339\n87399 100000\n44720 66922\n51342 76927\n39805 59581\n45463 68046\n36045 53883\n63409 95114\n71180 100000\n95205 100000\n99086 100000\n66498 99769\n2479 3741\n29245 43697\n5754 8618\n14044 21033\n18296 27376\n14349 21492\n68718 100000\n45938 68768\n47781 71558\n7179 10742\n36751 54937\n35217 52642\n62479 93724\n82279 100000\n31888 47683\n89308 100000\n95020 100000\n96275 100000\n26606 39768\n19909 29764\n59793 89682\n66125 99200\n7374 11039\n73243 100000\n98700 100000\n27924 41725\n3654 5489\n90333 100000\n16143 24174\n93753 100000\n12716 19062\n26761 39991\n34683 51856\n85820 100000\n24439 36531\n18388 27515\n41330 61864\n5849 8755\n10400 15605\n96062 100000\n18892 28261\n8986 13477\n87742 100000\n34356 51349\n43518 65115\n97678 100000\n82247 100000\n67382 100000\n51266 76810\n7156 10706\n81894 100000\n25996 38842\n46486 69603\n9989 14981\n28911 43200\n8157 12214\n2702 4074\n45865 68655\n3458 5207\n76357 100000\n57849 86766\n92423 100000\n40320 60337\n77909 100000\n48372 72435\n55317 82929\n68926 100000\n32301 48304\n85736 100000\n78073 100000\n64938 97395\n94339 100000\n92497 100000\n80502 100000\n52700 78992\n65996 98999\n32753 48972\n82010 100000\n97951 100000\n31410 46963\n35976 53779\n59431 89136\n59880 89811\n66659 100000\n91148 100000\n2786 4203\n14357 21504\n87870 100000\n6977 10433\n45181 67618\n42772 64001\n58194 87276\n81273 100000\n17999 26941\n52338 78445\n46205 69166\n21054 31482\n7903 11832\n59070 88582\n73762 100000\n85692 100000\n89753 100000\n40654 60843\n15695 23508\n12283 18426\n52907 79291\n86699 100000\n26221 39190\n70318 100000\n39244 58740\n89500 100000\n93339 100000\n59945 89914\n23361 34933\n29776 44499\n77483 100000\n74645 100000\n81053 100000\n41496 62098\n764 1165\n54294 81384\n82697 100000\n63143 94713\n42501 63591\n38135 57041\n91859 100000\n33292 49768\n17547 26251\n89756 100000\n44102 66002\n48550 72704\n86903 100000\n16420 24573\n59868 89793\n3080 4646\n92882 100000\n92465 100000\n62704 94056\n31535 47156\n10689 16038\n87446 100000\n42874 64148\n75923 100000\n92920 100000\n84859 100000\n63000 94504\n1599 2423\n89683 100000\n10640 15965\n64524 96772\n41171 61622\n88547 100000\n46193 69148\n14940 22368\n35010 52337\n82650 100000\n8410 12589\n99183 100000\n16957 25363\n37788 56509\n56235 84294\n71285 100000\n27229 40682\n8099 12125\n83637 100000\n49275 73819\n41889 62671\n8573 12829\n46451 69548\n90302 100000\n98694 100000\n6706 10032\n67527 100000\n2019 3037\n26457 39546\n20334 30410\n58490 87731\n19038 28464\n45257 67735\n16700 24981\n19223 28741\n10596 15901\n7009 10485\n47485 71109\n45629 68294\n43850 65622\n11069 16595\n96301 100000\n1538 2327\n65870 98805\n59177 88744\n57975 86956\n80152 100000\n77940 100000\n64799 97185\n50573 75775\n78189 100000\n84467 100000\n24954 37284\n6815 10193\n62063 93112\n86083 100000\n72041 100000\n95664 100000\n92216 100000\n93767 100000\n1967 2959\n8164 12224\n6229 9322\n87725 100000\n66491 99760\n8138 12185\n44753 66971\n86480 100000\n61429 92155\n15388 23036\n89807 100000\n27602 41243\n26716 39925\n28980 43303\n58173 87243\n59902 89844\n22688 33921\n1428 2163\n83348 100000\n35051 52398\n87727 100000\n82161 100000\n55007 82478\n66043 99073\n95491 100000\n87532 100000\n55795 83645\n38659 57849\n727 1106\n48495 72618\n59513 89260\n92707 100000\n90705 100000\n52248 78308\n26899 40195\n71765 100000\n25330 37842\n38891 58192\n2847 4295\n50275 75320\n53516 80216\n33252 49713\n67644 100000\n51864 77728\n68627 100000\n79118 100000\n75390 100000\n39304 58829\n53771 80602\n29514 44086\n82424 100000\n32318 48329\n93687 100000\n35912 53683\n45097 67487\n75717 100000\n5272 7912\n76042 100000\n10611 15921\n67360 100000\n83911 100000\n43472 65044\n36078 53939\n87700 100000\n60582 90878\n88101 100000\n76961 100000\n77855 100000\n69872 100000\n11023 16528\n11618 17419\n83863 100000\n87639 100000\n49212 73719\n63053 94579\n42719 63919\n54565 81794\n77068 100000\n86470 100000\n19665 29403\n2803 4228\n61484 92234\n96544 100000\n21572 32254\n41725 62431\n40494 60605\n86039 100000\n5676 8504\n10732 16102\n31588 47233\n66257 99399\n88122 100000\n12726 19079\n12798 19184\n57700 86532\n64785 97165\n59661 89487\n83408 100000\n72461 100000\n38969 58315\n98406 100000\n14049 21039\n77921 100000\n56042 84011\n11076 16606\n98099 100000\n10133 15196\n67780 100000\n87392 100000\n5353 8032\n36778 54975\n44977 67304\n88847 100000\n41482 62078\n39849 59644\n43357 64869\n56521 84733\n59340 88988\n66072 99117\n28882 43158\n51297 76857\n85480 100000\n79415 100000\n13740 20577\n87354 100000\n53317 79904\n40179 60131\n8127 12169\n70117 100000\n85546 100000\n95427 100000\n20738 31007\n62522 93789\n99042 100000\n77278 100000\n62159 93263\n29764 44481\n66596 99926\n21096 31544\n43010 64349\n99664 100000\n34078 50934\n88112 100000\n20122 30091\n53741 80559\n48396 72470\n13959 20907\n23741 35499\n23949 35818\n95480 100000\n1220 1857\n65076 97602\n68652 100000\n65222 97829\n46613 69792\n84919 100000\n89740 100000\n81849 100000\n94414 100000\n27226 40677\n68846 100000\n8253 12351\n87636 100000\n29336 43821\n17074 25542\n91734 100000\n5505 8252\n5696 8533\n5610 8410\n52099 78083\n17523 26216\n58731 88087\n1710 2582\n25810 38562\n83846 100000\n92657 100000\n38066 56935\n302 454\n41851 62613\n1469 2225\n85424 100000\n76263 100000\n74377 100000\n39554 59199\n29029 43377\n56880 85266\n98720 100000\n63946 95911\n40934 61264\n58430 87644\n43070 64436\n15697 23510\n76070 100000\n28898 43183\n55036 82521\n40263 60249\n25347 37867\n45420 67981\n47738 71491\n41307 61827\n80146 100000\n49073 73496\n37424 55959\n14129 21160\n85085 100000\n15367 23003\n75426 100000\n71005 100000\n76441 100000\n18485 27658\n78447 100000\n11430 17137\n75300 100000\n86968 100000\n51930 77825\n27671 41341\n32479 48559\n46855 70158\n55331 82951\n71946 100000\n46417 69492\n84684 100000\n51655 77399\n56126 84137\n6263 9372\n43285 64766\n91689 100000\n51625 77358\n98559 100000\n78384 100000\n30544 45654\n87683 100000\n33632 50267\n97211 100000\n69077 100000\n22315 33348\n68672 100000\n80251 100000\n1352 2053\n29907 44700\n29831 44578\n99677 100000\n87059 100000\n17200 25738\n35078 52438\n37707 56387\n48317 72357\n28819 43062\n83093 100000\n75880 100000\n92976 100000\n85562 100000\n20796 31092\n64797 97181\n98408 100000\n98698 100000\n38039 56894\n72784 100000\n91464 100000\n16546 24757\n23467 35099\n9265 13903\n84920 100000\n55585 83328\n62183 93301\n62933 94406\n60087 90130\n93226 100000\n91009 100000\n94972 100000\n78925 100000\n5868 8780\n68942 100000\n90372 100000\n21539 32205\n55278 82877\n27787 41516\n53682 80473\n67487 100000\n88674 100000\n69563 100000\n59719 89572\n77997 100000\n27898 41685\n28591 42708\n39403 58969\n48084 72008\n41900 62687\n22657 33877\n31953 47779\n60610 90918\n19286 28838\n70574 100000\n40096 60007\n96162 100000\n16468 24639\n44660 66836\n27249 40713\n33 47\n91922 100000\n92414 100000\n38749 57985\n32118 48028\n11543 17307\n66409 99636\n52387 78519\n18456 27617\n20475 30628\n55494 83186\n70392 100000\n67993 100000\n72115 100000\n3159 4761\n27256 40723\n57199 85766\n56996 85444\n62707 94060\n9094 13643\n40770 61019\n947 1445\n77586 100000\n64180 96261\n32948 49262\n72714 100000\n43134 64538\n22155 33113\n63596 95385\n13724 20551\n88058 100000\n17824 26661\n44233 66193\n83883 100000\n60220 90332\n94404 100000\n59841 89751\n91070 100000\n38934 58262\n79284 100000\n29552 44143\n67212 100000\n86811 100000\n97761 100000\n60624 90938\n11854 17772\n40973 61322\n98628 100000\n39044 58428\n28415 42454\n32037 47908\n44523 66634\n83973 100000\n67096 100000\n38237 57200\n35605 53226\n12820 19217\n33836 50561\n49414 74030\n23610 35304\n66692 100000\n43256 64720\n32323 48337\n22328 33366\n801 1216\n75590 100000\n110 169\n46976 70330\n1357 2060\n61991 93001\n71417 100000\n78772 100000\n53903 80799\n39226 58710\n39824 59608\n79213 100000\n94095 100000\n72209 100000\n29636 44278\n46499 69623\n86135 100000\n24750 36987\n22705 33948\n56320 84430\n20298 30357\n59328 88971\n63122 94685\n10201 15302\n46912 70240\n88515 100000\n99178 100000\n46119 69035\n82705 100000\n33763 50456\n46016 68886\n13582 20351\n89373 100000\n11698 17540\n79972 100000\n67570 100000\n73504 100000\n91995 100000\n79129 100000\n46634 69824\n78383 100000\n7687 11508\n97966 100000\n50264 75303\n94894 100000\n37653 56304\n37734 56431\n70204 100000\n34353 51344\n98517 100000\n75803 100000\n51561 77257\n22205 33186\n61907 92876\n12195 18292\n3923 5915\n23009 34399\n87690 100000\n99579 100000\n13322 19963\n40266 60253\n93803 100000\n35799 53519\n20982 31365\n39190 58648\n52335 78441\n84510 100000\n35097 52464\n87388 100000\n76267 100000\n67152 100000\n53819 80669\n66995 100000\n62124 93209\n403 606\n59704 89548\n76692 100000\n95679 100000\n33020 49366\n7162 10715\n45932 68759\n67223 100000\n73260 100000\n20435 30566\n85433 100000\n49825 74649\n93142 100000\n70149 100000\n87310 100000\n4084 6149\n42759 63982\n97969 100000\n43523 65124\n31743 47469\n74759 100000\n79474 100000\n74017 100000\n45925 68750\n75635 100000\n27978 41803\n14561 21809\n43961 65790\n25720 38424\n8186 12257\n71574 100000\n85693 100000\n33720 50396\n21634 32344\n18013 26962\n16794 25118\n11221 16822\n27460 41028\n85130 100000\n13307 19939\n78936 100000\n59101 88625\n65173 97751\n68166 100000\n99672 100000\n55966 83899\n13597 20371\n29275 43738\n43573 65199\n49105 73547\n57216 85791\n84425 100000\n71742 100000\n8857 13274\n75779 100000\n28360 42379\n94009 100000\n26172 39115\n24164 36136\n12062 18096\n10130 15192\n86262 100000\n94479 100000\n88152 100000\n14086 21093\n95216 100000\n62206 93335\n48548 72701\n76847 100000\n88632 100000\n83135 100000\n2324 3506\n50671 75911\n375 562\n45134 67545\n97572 100000\n39701 59423\n59751 89618\n87448 100000\n89248 100000\n15792 23649\n13178 19746\n60461 90699\n16120 24142\n54426 81585\n6808 10182\n68714 100000\n27964 41784\n39761 59510\n92300 100000\n61574 92370\n15040 22515\n1391 2109\n96866 100000\n74015 100000\n66308 99480\n31125 46536\n57888 86823\n40819 61090\n37881 56654\n12041 18064\n18890 28258\n21838 32651\n6279 9398\n84243 100000\n83686 100000\n24658 36854\n3690 5548\n35756 53454\n17129 25623\n8898 13337\n42064 62932\n129 195\n69946 100000\n20099 30054\n30861 46136\n11789 17678\n89873 100000\n95647 100000\n89476 100000\n70707 100000\n46061 68953\n79821 100000\n25189 37633\n61868 92813\n75674 100000\n79768 100000\n89850 100000\n79475 100000\n5757 8623\n4419 6640\n48521 72659\n7199 10774\n77546 100000\n15830 23698\n9973 14955\n4340 6522\n42879 64157\n55608 83364\n71865 100000\n69087 100000\n42556 63672\n87571 100000\n27065 40447\n89049 100000\n93629 100000\n38886 58183\n66984 100000\n90964 100000\n45515 68123\n17705 26485\n69344 100000\n32022 47887\n68858 100000\n73683 100000\n9891 14835\n11661 17486\n96006 100000\n37387 55902\n60851 91278\n58421 87632\n7358 11015\n53385 80011\n96540 100000\n90320 100000\n51596 77314\n36963 55262\n63364 95052\n56591 84833\n4367 6565\n53322 79912\n43191 64622\n52878 79250\n92082 100000\n96873 100000\n41873 62645\n84574 100000\n87776 100000\n34893 52163\n55448 83122\n89689 100000\n73620 100000\n16689 24965\n92504 100000\n94077 100000\n98848 100000\n87152 100000\n47524 71172\n54837 82213\n726 1104\n5814 8704\n59957 89935\n99838 100000\n82610 100000\n45489 68084\n15619 23392\n74165 100000\n83503 100000\n26914 40219\n13944 20883\n47483 71107\n53162 79672\n13043 19551\n77974 100000\n4906 7375\n89374 100000\n34837 52082\n69076 100000\n99233 100000\n18540 27736\n96923 100000\n78848 100000\n55285 82886\n97262 100000\n45396 67944\n3563 5360\n92555 100000\n18109 27101\n2228 3358\n23187 34670\n70226 100000\n56738 85053\n335 502\n89390 100000\n44842 67099\n50787 76077\n20652 30883\n37209 55642\n50258 75295\n24562 36712\n3622 5441\n43803 65552\n10997 16489\n93981 100000\n94184 100000\n81505 100000\n68820 100000\n44207 66156\n35594 53210\n99462 100000\n74581 100000\n67265 100000\n12969 19441\n8280 12396\n81847 100000\n24120 36072\n98986 100000\n33963 50756\n45192 67633\n45371 67905\n26352 39392\n78335 100000\n79295 100000\n14798 22151\n14386 21545\n60265 90401\n50832 76147\n32332 48350\n30494 45581\n61415 92136\n82603 100000\n86904 100000\n90690 100000\n18526 27719\n28579 42687\n16168 24210\n61840 92772\n98252 100000\n72653 100000\n23885 35719\n16533 24739\n8134 12179\n14538 21777\n21022 31431\n52679 78958\n29220 43656\n60946 91416\n27860 41628\n24324 36369\n60933 91397\n521 791\n98564 100000\n6123 9169\n38986 58339\n95731 100000\n86386 100000\n23172 34646\n32297 48298\n96477 100000\n27873 41648\n78364 100000\n2914 4389\n71856 100000\n97303 100000\n9974 14956\n28258 42231\n9745 14621\n51033 76457\n20484 30640\n4550 6842\n84398 100000\n10068 15104\n86626 100000\n9065 13601\n54185 81231\n48517 72654\n46198 69156\n1239 1885\n7473 11190\n72155 100000\n35487 53051\n22778 34060\n23284 34816\n92609 100000\n8246 12342\n28116 42009\n92522 100000\n10272 15416\n26687 39880\n96819 100000\n64262 96383\n25165 37594\n4229 6364\n64613 96912\n16111 24127\n59715 89566\n32944 49255\n94935 100000\n91348 100000\n93768 100000\n43011 64351\n11040 16553\n57112 85624\n14734 22060\n25318 37824\n1857 2793\n99813 100000\n63659 95485\n17898 26782\n91894 100000\n19547 29222\n8523 12757\n19865 29698\n16824 25159\n3980 5998\n53536 80244\n6239 9337\n85039 100000\n24225 36228\n64674 97001\n38982 58335\n30599 45733\n77105 100000\n44303 66301\n72022 100000\n5395 8093\n56906 85305\n70042 100000\n91552 100000\n86342 100000\n93704 100000\n3345 5031\n30469 45546\n1417 2148\n773 1177\n23686 35417\n55616 83377\n65955 98934\n73365 100000\n25550 38170\n61369 92072\n94887 100000\n72326 100000\n93267 100000\n51300 76862\n87985 100000\n89529 100000\n33772 50468\n60419 90628\n6532 9766\n54176 81217\n1092 1669\n71896 100000\n38721 57942\n12492 18728\n60256 90389\n3359 5053\n25880 38667\n94062 100000\n7352 11006\n30470 45547\n7872 11784\n98689 100000\n71082 100000\n82992 100000\n67073 100000\n70824 100000\n47175 70636\n92448 100000\n22137 33086\n77670 100000\n97279 100000\n26261 39256\n2515 3793\n17003 25432\n570 865\n76288 100000\n83679 100000\n15815 23679\n10187 15282\n82941 100000\n3172 4780\n95249 100000\n71781 100000\n17879 26753\n67948 100000\n13501 20229\n86761 100000\n7287 10909\n72697 100000\n85569 100000\n37980 56800\n69705 100000\n89837 100000\n54487 81678\n74777 100000\n80726 100000\n25458 38039\n63923 95873\n71277 100000\n79228 100000\n67319 100000\n53658 80437\n95517 100000\n69944 100000\n60446 90675\n29996 44835\n59762 89635\n16360 24487\n66854 100000\n53687 80480\n69407 100000\n89081 100000\n40262 60247\n85605 100000\n55504 83201\n90891 100000\n41903 62693\n21427 32030\n27735 41438\n40037 59918\n54693 81993\n4322 6496\n46404 69472\n82692 100000\n24785 37039\n64348 96512\n5240 7870\n2916 4392\n30812 46065\n44585 66728\n77779 100000\n55418 83075\n74299 100000\n64083 96111\n9737 14607\n56301 84398\n45741 68463\n4221 6355\n88267 100000\n75220 100000\n80014 100000\n41092 61504\n40028 59904\n72531 100000\n47336 70879\n26837 40100\n93964 100000\n59098 88620\n79919 100000\n40605 60772\n50380 75481\n15310 22924\n88257 100000\n49280 73824\n89882 100000\n98679 100000\n93090 100000\n94846 100000\n77414 100000\n92685 100000\n36760 54949\n70554 100000\n96691 100000\n19607 29312\n39650 59345\n36035 53867\n48430 72519\n91178 100000\n26425 39500\n90547 100000\n40788 61046\n90100 100000\n37380 55891\n74982 100000\n92370 100000\n95797 100000\n84954 100000\n4476 6728\n31188 46629\n10039 15060\n78192 100000\n62668 94001\n59151 88704\n2531 3815\n21049 31473\n44852 67115\n70319 100000\n24320 36364\n25310 37812\n78978 100000\n58856 88271\n52620 78871\n70027 100000\n994 1519\n52701 78994\n64364 96534\n19567 29252\n75111 100000\n87737 100000\n46350 69387\n48208 72193\n90171 100000\n77588 100000\n41787 62520\n31051 46427\n5891 8816\n90852 100000\n38086 56968\n75146 100000\n50831 76145\n27878 41655\n48131 72083\n39108 58521\n44195 66141\n64941 97399\n54643 81918\n18240 27293\n97661 100000\n56256 84324\n9810 14718\n75225 100000\n79251 100000\n61920 92894\n8590 12856\n59619 89424\n5525 8283\n45763 68498\n12293 18439\n52750 79063\n25291 37785\n74025 100000\n67534 100000\n1005 1538\n902 1375\n54171 81209\n14619 21885\n13144 19696\n82945 100000\n55963 83895\n31638 47316\n25836 38600\n38245 57213\n3869 5825\n57524 86265\n9402 14102\n95743 100000\n38892 58193\n65008 97498\n61479 92226\n35084 52446\n8603 12877\n99467 100000\n56340 84461\n60620 90933\n14532 21767\n29209 43640\n16865 25226\n67578 100000\n13654 20453\n44042 65909\n86211 100000\n97040 100000\n93481 100000\n73859 100000\n26666 39850\n93599 100000\n87348 100000\n2110 3184\n5878 8795\n68314 100000\n93995 100000\n32801 49044\n51622 77354\n23647 35356\n42002 62834\n37303 55778\n93672 100000\n12181 18269\n47502 71134\n77052 100000\n84888 100000\n61738 92612\n77247 100000\n59811 89709\n9367 14052\n61973 92975\n15778 23627\n67001 100000\n32068 47954\n51574 77277\n62075 93134\n30519 45618\n11109 16653\n93141 100000\n89763 100000\n27866 41636\n22990 34370\n783 1192\n52113 78104\n21723 32475\n44007 65859\n70801 100000\n69574 100000\n58658 87980\n98426 100000\n87180 100000\n23568 35241\n87386 100000\n20565 30759\n89076 100000\n71947 100000\n19055 28491\n90324 100000\n9546 14314\n98427 100000\n54991 82452\n70652 100000\n9416 14123\n44878 67152\n97858 100000\n4726 7110\n79923 100000\n77725 100000\n7284 10903\n1810 2722\n2910 4385\n7876 11790\n91835 100000\n33543 50137\n2099 3166\n332 497\n54589 81828\n81712 100000\n89001 100000\n58240 87349\n80264 100000\n79563 100000\n71630 100000\n61902 92867\n96759 100000\n12042 18066\n50333 75412\n67234 100000\n86314 100000\n38060 56925\n17300 25888\n79072 100000\n8582 12845\n90424 100000\n55965 83898\n90521 100000\n12541 18804\n45934 68761\n95421 100000\n22456 33566\n97797 100000\n35612 53234\n97306 100000\n32922 49222\n23422 35021\n23245 34760\n37329 55817\n75959 100000\n1551 2348\n48211 72198\n57879 86808\n50866 76202\n32821 49074\n92968 100000\n31338 46855\n82444 100000\n77852 100000\n41462 62049\n68200 100000\n49425 74047\n75032 100000\n99834 100000\n19985 29879\n86612 100000\n98959 100000\n81610 100000\n83882 100000\n84515 100000\n41818 62565\n90726 100000\n96967 100000\n84249 100000\n41591 62239\n11058 16579\n21756 32529\n52302 78395\n64123 96177\n34311 51286\n68945 100000\n61499 92259\n1055 1613\n43101 64487\n76516 100000\n431 651\n78833 100000\n54804 82166\n88711 100000\n59873 89801\n14099 21116\n68255 100000\n85642 100000\n17048 25502\n73242 100000\n54918 82336\n34525 51616\n18923 28306\n50374 75472\n84842 100000\n97168 100000\n72662 100000\n36718 54888\n10376 15568\n6660 9963\n29765 44483\n28318 42319\n72056 100000\n11906 17855\n38760 57998\n46849 70150\n51382 76990\n63253 94878\n81308 100000\n84289 100000\n36662 54810\n81582 100000\n72250 100000\n41927 62727\n58598 87891\n34183 51093\n43059 64418\n10263 15403\n62643 93968\n91034 100000\n59943 89910\n87313 100000\n42650 63817\n96424 100000\n77229 100000\n38156 57074\n21930 32783\n4485 6742\n18211 27249\n25549 38169\n25842 38611\n82077 100000\n83014 100000\n18066 27040\n73269 100000\n86011 100000\n13036 19539\n20753 31028\n31456 47032\n89031 100000\n92601 100000\n42096 62979\n19727 29494\n40297 60301\n30582 45708\n1137 1737\n34428 51458\n80029 100000\n88395 100000\n34177 51084\n59016 88503\n77467 100000\n5800 8683\n21319 31866\n92992 100000\n36868 55119\n80323 100000\n97191 100000\n231 349\n95685 100000\n16680 24949\n53738 80554\n45406 67961\n5428 8141\n69027 100000\n7173 10732\n96408 100000\n6175 9241\n64932 97387\n26654 39833\n37548 56139\n38463 57545\n58578 87860\n70957 100000\n67405 100000\n54959 82398\n7193 10764\n81891 100000\n71748 100000\n6363 9527\n32720 48919\n95225 100000\n22966 34334\n75375 100000\n24317 36361\n842 1278\n8302 12427\n45424 67987\n82113 100000\n14623 21891\n98286 100000\n35878 53632\n82206 100000\n86741 100000\n85828 100000\n17777 26593\n34695 51874\n74243 100000\n13738 20574\n54914 82330\n72192 100000\n15258 22844\n92813 100000\n57175 85730\n57773 86653\n54287 81374\n4840 7282\n50986 76385\n46574 69734\n49996 74898\n27961 41778\n27074 40462\n32189 48136\n482 728\n51546 77236\n15548 23281\n61836 92766\n80220 100000\n2776 4188\n68263 100000\n3696 5557\n19572 29260\n99226 100000\n80178 100000\n13981 20942\n41615 62272\n20414 30532\n95412 100000\n31083 46478\n78471 100000\n98200 100000\n58964 88428\n60934 91399\n4594 6908\n44783 67016\n8332 12473\n97287 100000\n12137 18209\n40803 61067\n96245 100000\n18050 27014\n99261 100000\n7148 10693\n43870 65656\n83897 100000\n26307 39326\n44571 66703\n25503 38105\n73045 100000\n10328 15498\n85266 100000\n28492 42560\n1493 2261\n30227 45176\n81737 100000\n23689 35421\n21186 31675\n43662 65337\n82651 100000\n35552 53144\n34077 50932\n89806 100000\n60031 90049\n57313 85944\n83797 100000\n2575 3882\n24836 37112\n47501 71133\n15864 23753\n48692 72922\n15850 23729\n50801 76100\n43209 64654\n28803 43034\n17101 25578\n51227 76748\n42229 63180\n81381 100000\n6657 9959\n83560 100000\n62651 93977\n32222 48188\n557 844\n72503 100000\n82951 100000\n53066 79529\n13384 20058\n13339 19989\n84333 100000\n74464 100000\n66906 100000\n98291 100000\n36666 54814\n41566 62200\n18993 28407\n58102 87146\n59678 89511\n57147 85683\n12234 18352\n62690 94035\n37895 56676\n68526 100000\n74977 100000\n52371 78496\n44733 66943\n38351 57369\n62246 93395\n18253 27312\n20990 31378\n43391 64923\n31607 47264\n51923 77814\n53081 79554\n59837 89745\n90629 100000\n98214 100000\n86994 100000\n92485 100000\n84645 100000\n99046 100000\n48918 73258\n39630 59312\n60215 90324\n46147 69077\n95404 100000\n25285 37776\n38068 56939\n41735 62447\n48276 72295\n74787 100000\n70357 100000\n18333 27430\n5036 7566\n10986 16475\n5447 8166\n5243 7874\n15757 23597\n45034 67394\n43385 64915\n42573 63698\n49338 73913\n37359 55862\n63500 95242\n96328 100000\n18914 28291\n67202 100000\n12400 18596\n69854 100000\n88331 100000\n66350 99540\n32920 49219\n82429 100000\n78599 100000\n58201 87290\n50754 76030\n60048 90074\n68998 100000\n20898 31236\n35259 52708\n90746 100000\n71156 100000\n46210 69175\n67379 100000\n54762 82100\n61681 92529\n58540 87807\n8002 11979\n46034 68912\n69114 100000\n7339 10987\n39604 59272\n4409 6628\n90137 100000\n61924 92899\n58934 88385\n4549 6841\n49662 74404\n66116 99184\n40472 60572\n1430 2166\n91725 100000\n61355 92052\n32929 49231\n69254 100000\n12714 19059\n77095 100000\n84354 100000\n31028 46391\n77507 100000\n8847 13261\n9555 14325\n3275 4938\n64047 96061\n13297 19926\n95164 100000\n74785 100000\n34714 51902\n66298 99466\n70181 100000\n14355 21502\n30361 45382\n750 1144\n23002 34386\n22071 32990\n47457 71069\n78918 100000\n1006 1539\n77195 100000\n70089 100000\n87726 100000\n42962 64282\n63960 95934\n73041 100000\n99885 100000\n10329 15499\n69483 100000\n84133 100000\n70186 100000\n71280 100000\n66518 99804\n96068 100000\n30307 45302\n84195 100000\n26675 39863\n69368 100000\n8397 12570\n56238 84299\n49170 73649\n88427 100000\n21302 31843\n93648 100000\n9322 13988\n34667 51830\n96305 100000\n8034 12028\n60290 90437\n34756 51966\n22877 34205\n37336 55828\n83460 100000\n82416 100000\n56376 84515\n34713 51901\n66472 99734\n66794 100000\n305 458\n10702 16057\n29319 43799\n40454 60543\n17396 26029\n94776 100000\n28959 43273\n96582 100000\n87377 100000\n50724 75984\n56153 84179\n79356 100000\n68501 100000\n11382 17067\n86980 100000\n19982 29875\n56251 84318\n88397 100000\n27168 40598\n77249 100000\n61473 92216\n35439 52980\n14617 21883\n23974 35856\n32954 49268\n92563 100000\n9646 14463\n91610 100000\n65298 97943\n3694 5555\n54924 82345\n45209 67657\n42281 63263\n80055 100000\n76717 100000\n57652 86460\n35974 53775\n97323 100000\n59557 89332\n39879 59691\n51272 76817\n79040 100000\n72145 100000\n84339 100000\n58166 87234\n81438 100000\n77074 100000\n98556 100000\n30881 46165\n95920 100000\n87250 100000\n59744 89607\n42022 62866\n93724 100000\n46879 70190\n35279 52739\n67438 100000\n30238 45194\n96790 100000\n3635 5459\n56775 85105\n49960 74844\n54741 82068\n14373 21526\n84934 100000\n36679 54829\n93751 100000\n90768 100000\n46149 69081\n50178 75172\n47529 71181\n85045 100000\n51034 76458\n56282 84366\n23612 35307\n44256 66229\n42409 63460\n83565 100000\n61463 92201\n55259 82847\n6024 9022\n76487 100000\n77337 100000\n36296 54265\n11352 17018\n61812 92726\n37863 56625\n79404 100000\n28143 42052\n26244 39226\n64437 96631\n42528 63628\n22884 34218\n38661 57852\n85299 100000\n62698 94048\n12834 19239\n54957 82396\n66866 100000\n16784 25104\n62949 94429\n84498 100000\n57127 85648\n18653 27901\n53854 80720\n35385 52896\n71142 100000\n14869 22262\n35260 52709\n15946 23876\n25701 38394\n67332 100000\n65399 98094\n59897 89837\n83484 100000\n72934 100000\n56959 85389\n93804 100000\n76283 100000\n72458 100000\n46562 69715\n70002 100000\n98443 100000\n60646 90971\n13698 20514\n21789 32576\n99380 100000\n1139 1741\n98997 100000\n1968 2961\n92972 100000\n26582 39731\n17714 26498\n37311 55788\n26396 39458\n16186 24235\n11597 17386\n82755 100000\n240 364\n4757 7153\n52427 78577\n6336 9485\n21172 31656\n94038 100000\n62422 93643\n87383 100000\n43625 65285\n25406 37965\n31379 46917\n47726 71471\n76781 100000\n90208 100000\n78642 100000\n37531 56117\n59776 89656\n36228 54161\n43103 64490\n76645 100000\n25488 38083\n10791 16187\n17880 26754\n59621 89427\n2969 4474\n94740 100000\n54021 80979\n8904 13344\n76967 100000\n6946 10384\n45100 67490\n61921 92895\n32983 49310\n73212 100000\n67128 100000\n54032 80997\n39924 59754\n97826 100000\n46668 69878\n65423 98132\n42603 63742\n84977 100000\n65149 97714\n39352 58902\n44213 66165\n16098 24106\n52986 79412\n46244 69228\n48222 72217\n73385 100000\n31426 46987\n33828 50550\n64868 97290\n88559 100000\n60293 90443\n37700 56375\n8905 13346\n99837 100000\n89972 100000\n24031 35943\n32995 49330\n20153 30137\n22746 34014\n38587 57737\n55235 82811\n41248 61739\n51237 76764\n32146 48069\n26596 39753\n50741 76012\n25690 38377\n89264 100000\n31082 46476\n56803 85149\n56368 84503\n49942 74819\n91188 100000\n47927 71778\n34671 51836\n4812 7238\n61264 91913\n65597 98395\n31386 46929\n56661 84940\n92827 100000\n74271 100000\n42242 63199\n3558 5354\n75060 100000\n19743 29516\n42623 63774\n11723 17578\n90399 100000\n12296 18443\n81563 100000\n28290 42276\n50243 75273\n82126 100000\n66800 100000\n11975 17960\n88980 100000\n31762 47496\n36681 54833\n22638 33847\n85383 100000\n45663 68346\n36573 54683\n61560 92351\n74907 100000\n41536 62158\n74280 100000\n70616 100000\n94746 100000\n19696 29448\n27854 41618\n41485 62082\n36352 54356\n78816 100000\n45208 67656\n53898 80791\n68348 100000\n57277 85888\n14998 22450\n63743 95608\n91321 100000\n49736 74516\n82987 100000\n88701 100000\n3841 5780\n35719 53400\n5117 7684\n41362 61911\n74388 100000\n6731 10070\n52183 78203\n12426 18634\n17487 26163\n81039 100000\n40376 60426\n4231 6366\n42424 63481\n3515 5293\n97802 100000\n65645 98472\n6491 9701\n13494 20217\n37629 56262\n2218 3346\n92002 100000\n16988 25411\n8079 12096\n81131 100000\n67301 100000\n50032 74951\n66519 99806\n64860 97278\n31999 47848\n18633 27869\n37745 56446\n19833 29648\n38385 57424\n44227 66184\n31987 47828\n58233 87340\n48810 73096\n74428 100000\n88997 100000\n80796 100000\n84426 100000\n62992 94493\n75496 100000\n61416 92137\n53896 80787\n62045 93083\n22014 32904\n81764 100000\n75015 100000\n17767 26580\n13059 19573\n77002 100000\n7212 10793\n40681 60883\n86332 100000\n91949 100000\n66565 99877\n33248 49707\n9180 13777\n36233 54166\n33473 50037\n59118 88653\n69526 100000\n70202 100000\n90149 100000\n5541 8307\n59689 89524\n83439 100000\n46279 69281\n75185 100000\n11125 16675\n15127 22642\n19811 29613\n27909 41702\n75224 100000\n6290 9414\n60073 90108\n30204 45145\n92295 100000\n80756 100000\n85339 100000\n8947 13418\n32809 49059\n66747 100000\n99186 100000\n4870 7324\n94517 100000\n48735 72985\n96695 100000\n65787 98685\n83756 100000\n66416 99646\n42046 62906\n37316 55796\n67584 100000\n55722 83536\n98151 100000\n12253 18378\n27888 41671\n22360 33415\n89726 100000\n71271 100000\n52450 78611\n18471 27637\n77711 100000\n31323 46836\n92301 100000\n10957 16432\n36659 54806\n88072 100000\n69459 100000\n12335 18502\n44444 66511\n60063 90093\n51086 76539\n47417 71013\n47649 71354\n86844 100000\n15832 23700\n24463 36566\n43099 64483\n91947 100000\n3232 4873\n2497 3766\n50358 75450\n45215 67667\n72795 100000\n49207 73709\n54296 81387\n6636 9929\n24845 37126\n2090 3152\n14535 21772\n40047 59933\n37725 56417\n78520 100000\n33712 50385\n66005 99013\n74004 100000\n37876 56645\n26611 39775\n53183 79703\n65887 98831\n24499 36616\n30940 46255\n29572 44173\n7427 11116\n1036 1583\n94762 100000\n9772 14663\n57055 85539\n43147 64555\n17610 26343\n37611 56236\n82550 100000\n46781 70042\n79005 100000\n79645 100000\n60108 90164\n5741 8602\n29212 43644\n96786 100000\n33690 50352\n38333 57342\n56761 85086\n45568 68206\n69863 100000\n33803 50515\n60763 91148\n64628 96936\n40352 60387\n33078 49456\n69514 100000\n98787 100000\n44318 66325\n60743 91119\n17813 26644\n81252 100000\n61459 92196\n69332 100000\n80633 100000\n48905 73238\n60396 90593\n61371 92075\n46903 70228\n92731 100000\n89620 100000\n79450 100000\n83906 100000\n94612 100000\n98990 100000\n41704 62401\n19755 29534\n76149 100000\n5265 7903\n76565 100000\n67941 100000\n27126 40538\n67663 100000\n87211 100000\n12479 18709\n57020 85481\n16215 24279\n17942 26854\n84944 100000\n1225 1865\n25443 38015\n77420 100000\n67143 100000\n4048 6099\n85859 100000\n19652 29382\n98625 100000\n28355 42374\n47211 70687\n76664 100000\n10705 16062\n21752 32524\n34938 52233\n32433 48495\n23035 34442\n42218 63164\n63212 94816\n31346 46866\n53743 80563\n65775 98667\n24964 37297\n58039 87047\n7713 11546\n47595 71277\n1185 1807\n87669 100000\n90278 100000\n72780 100000\n18579 27794\n11761 17632\n89107 100000\n7184 10749\n83881 100000\n547 830\n70135 100000\n23999 35895\n45413 67972\n55307 82915\n57498 86223\n47689 71412\n50987 76387\n36616 54745\n81639 100000\n89813 100000\n42311 63313\n85939 100000\n32485 48569\n85858 100000\n76456 100000\n63003 94508\n96930 100000\n42334 63347\n76123 100000\n2603 3926\n60779 91170\n90119 100000\n14111 21135\n18062 27034\n27447 41009\n69662 100000\n77675 100000\n45674 68362\n55260 82849\n29113 43497\n98541 100000\n52643 78904\n54307 81404\n74472 100000\n29222 43659\n72359 100000\n17539 26238\n11717 17570\n25704 38399\n11839 17749\n21468 32094\n95541 100000\n11874 17802\n3349 5038\n88787 100000\n7031 10515\n22197 33175\n69584 100000\n91582 100000\n76266 100000\n83564 100000\n84730 100000\n46710 69939\n6141 9195\n57753 86621\n75617 100000\n51595 77312\n69690 100000\n79028 100000\n91281 100000\n62754 94132\n15430 23103\n10496 15748\n61384 92091\n72403 100000\n43781 65516\n24578 36734\n9879 14816\n90054 100000\n72140 100000\n15701 23516\n24147 36115\n80914 100000\n54578 81812\n1702 2570\n20602 30808\n22840 34148\n47897 71734\n14496 21711\n85994 100000\n24993 37340\n92052 100000\n76408 100000\n94303 100000\n41326 61856\n3971 5983\n38652 57839\n80025 100000\n30753 45979\n54742 82069\n81812 100000\n22093 33023\n28297 42288\n92646 100000\n1579 2394\n68160 100000\n44950 67267\n47675 71391\n93872 100000\n93305 100000\n87739 100000\n62483 93730\n56373 84511\n17335 25938\n62374 93585\n75832 100000\n63380 95072\n79480 100000\n29115 43500\n32973 49296\n51373 76977\n85004 100000\n21567 32244\n27272 40746\n71877 100000\n56587 84826\n66064 99107\n56351 84477\n89168 100000\n13334 19980\n19735 29505\n71485 100000\n55062 82559\n80299 100000\n92947 100000\n99015 100000\n24764 37007\n97175 100000\n58392 87587\n63942 95905\n31720 47439\n26610 39774\n45050 67414\n76304 100000\n30147 45053\n39046 58430\n17236 25789\n87338 100000\n8950 13422\n86959 100000\n47657 71365\n6259 9367\n4583 6890\n9006 13510\n17613 26348\n70032 100000\n42052 62915\n82604 100000\n50951 76336\n41936 62739\n66048 99081\n77203 100000\n9773 14664\n23019 34415\n21675 32403\n3502 5274\n24597 36764\n87761 100000\n99421 100000\n2568 3871\n34208 51132\n86884 100000\n81129 100000\n14501 21718\n96984 100000\n12306 18459\n22416 33501\n59006 88489\n73105 100000\n15415 23079\n89989 100000\n61213 91828\n68934 100000\n1311 1989\n74119 100000\n15637 23419\n59541 89304\n45958 68798\n22954 34318\n66790 100000\n57358 86009\n45527 68142\n10506 15763\n37607 56228\n70779 100000\n34905 52181\n29106 43486\n42172 63099\n30931 46242\n71221 100000\n72102 100000\n89102 100000\n76387 100000\n46284 69287\n42266 63240\n68322 100000\n27672 41342\n32924 49224\n86827 100000\n9777 14670\n76946 100000\n28205 42153\n14192 21261\n60325 90493\n47978 71856\n68116 100000\n36552 54654\n13184 19755\n53561 80284\n16074 24074\n31604 47258\n37453 56002\n28103 41993\n35744 53435\n89051 100000\n21405 31995\n79371 100000\n67428 100000\n54851 82232\n2395 3615\n31490 47084\n78402 100000\n37037 55379\n74090 100000\n25002 37351\n25077 37465\n35628 53261\n64221 96323\n71861 100000\n2174 3276\n71987 100000\n94471 100000\n35774 53479\n41226 61705\n62493 93745\n49428 74052\n6307 9440\n49358 73943\n91606 100000\n7667 11478\n71338 100000\n46989 70349\n12449 18669\n8915 13362\n23875 35705\n88789 100000\n82129 100000\n15481 23177\n81807 100000\n4883 7341\n5826 8722\n56246 84309\n35656 53302\n43359 64872\n64082 96110\n71672 100000\n2768 4174\n58625 87929\n82622 100000\n12338 18507\n29731 44430\n4764 7166\n41874 62647\n8927 13385\n25919 38727\n43755 65476\n52068 78033\n49292 73838\n53440 80096\n44577 66713\n48399 72474\n83644 100000\n26993 40337\n76820 100000\n4572 6874\n93274 100000\n9843 14769\n88332 100000\n2209 3334\n4547 6838\n21611 32310\n10621 15935\n33577 50192\n74265 100000\n85313 100000\n30804 46053\n18298 27379\n52545 78759\n813 1235\n18836 28175\n73558 100000\n2552 3847\n40336 60363\n28892 43175\n64342 96503\n29395 43908\n73259 100000\n92165 100000\n84933 100000\n47191 70657\n58692 88031\n50553 75743\n21337 31895\n82426 100000\n58331 87493\n87333 100000\n22145 33099\n14497 21713\n77992 100000\n61486 92238\n81139 100000\n89297 100000\n51309 76878\n46079 68979\n45409 67965\n72376 100000\n46055 68944\n39440 59029\n13448 20151\n99980 100000\n7973 11939\n78129 100000\n23761 35530\n3440 5180\n25102 37502\n72930 100000\n20826 31136\n45903 68712\n72336 100000\n96273 100000\n79119 100000\n65102 97640\n44305 66305\n99273 100000\n15799 23658\n25963 38794\n58112 87161\n39426 59006\n2716 4094\n24271 36294\n9712 14568\n42993 64323\n81278 100000\n95439 100000\n30586 45713\n58460 87687\n11422 17125\n94401 100000\n73916 100000\n34963 52266\n69091 100000\n81071 100000\n41756 62476\n44023 65881\n12686 19017\n57268 85874\n32255 48235\n95268 100000\n29930 44734\n69181 100000\n62303 93477\n35464 53017\n28177 42109\n86849 100000\n41336 61874\n11113 16658\n1026 1568\n54325 81433\n21570 32250\n76626 100000\n58995 88473\n15204 22759\n98355 100000\n58887 88314\n54449 81624\n66167 99264\n500 756\n85107 100000\n44223 66179\n208 316\n52861 79227\n29861 44628\n41321 61847\n9114 13674\n13219 19807\n8301 12426\n96946 100000\n82875 100000\n62945 94424\n95162 100000\n7542 11296\n83107 100000\n44217 66170\n54201 81250\n45467 68052\n77985 100000\n57131 85654\n51885 77757\n99800 100000\n89542 100000\n34378 51384\n53599 80343\n89768 100000\n65345 98014\n85723 100000\n68198 100000\n38505 57607\n74333 100000\n68240 100000\n45798 68552\n84723 100000\n610 927\n51672 77425\n16417 24569\n42016 62856\n39265 58773\n94949 100000\n76963 100000\n94785 100000\n90759 100000\n3981 6000\n77677 100000\n9954 14931\n49563 74258\n23265 34791\n30520 45619\n6830 10218\n2718 4096\n43920 65735\n63281 94923\n64078 96106\n39184 58639\n8278 12392\n29558 44152\n7604 11384\n99690 100000\n5296 7947\n98607 100000\n55787 83634\n68527 100000\n85072 100000\n35481 53041\n65327 97984\n51332 76912\n69758 100000\n80495 100000\n72798 100000\n30160 45074\n77358 100000\n45427 67991\n49500 74158\n92785 100000\n49560 74254\n25486 38080\n14148 21191\n64022 96025\n4289 6447\n26482 39586\n81567 100000\n58605 87902\n71948 100000\n48452 72551\n7291 10913\n12391 18584\n10778 16169\n74153 100000\n5158 7745\n50184 75181\n17110 25592\n3569 5367\n80104 100000\n38412 57465\n8254 12352\n49059 73476\n67618 100000\n12606 18901\n51378 76984\n21130 31591\n99692 100000\n28071 41944\n6453 9648\n51669 77421\n54699 82001\n35320 52801\n72146 100000\n54113 81119\n97391 100000\n33677 50334\n32796 49035\n20715 30974\n60700 91051\n63679 95515\n39020 58394\n14124 21153\n98149 100000\n82166 100000\n76536 100000\n69877 100000\n23698 35434\n16373 24504\n97422 100000\n26466 39559\n17808 26638\n27952 41767\n71388 100000\n65184 97770\n53462 80129\n26313 39334\n11208 16803\n69296 100000\n34480 51544\n39198 58663\n90792 100000\n56742 85058\n15519 23237\n5198 7808\n63816 95714\n6795 10162\n1922 2891\n54230 81291\n97962 100000\n64556 96823\n50550 75738\n82732 100000\n9726 14590\n15457 23142\n65118 97667\n58595 87885\n24145 36112\n11439 17153\n74104 100000\n51515 77190\n87251 100000\n12372 18555\n4567 6867\n21393 31979\n77727 100000\n58016 87019\n23460 35089\n9343 14018\n99338 100000\n1705 2573\n31054 46433\n45680 68371\n41053 61446\n41420 61990\n21443 32057\n67543 100000\n52677 78955\n63526 95281\n23302 34844\n71025 100000\n51406 77029\n52709 79005\n20018 29927\n66290 99454\n55947 83872\n63747 95614\n72861 100000\n76777 100000\n8251 12348\n83593 100000\n25719 38422\n27433 40988\n13170 19734\n32094 47992\n14281 21398\n38778 58022\n923 1407\n24266 36287\n13084 19610\n26539 39669\n32499 48592\n14294 21417\n21874 32698\n22508 33643\n4994 7505\n16991 25415\n47898 71735\n78089 100000\n99147 100000\n82616 100000\n41578 62219\n16860 25219\n46505 69631\n18363 27476\n77217 100000\n42187 63121\n84886 100000\n69497 100000\n11919 17874\n1009 1544\n50793 76088\n10686 16033\n5420 8129\n82706 100000\n77606 100000\n60191 90290\n36644 54783\n49800 74612\n57465 86176\n28204 42151\n76508 100000\n73832 100000\n46885 70199\n58318 87472\n41328 61860\n40230 60206\n61930 92908\n1737 2617\n90844 100000\n55650 83424\n33940 50717\n43971 65805\n67681 100000\n39567 59220\n74498 100000\n93823 100000\n85845 100000\n24639 36827\n22545 33705\n59111 88642\n30001 44843\n26417 39488\n479 724\n18457 27618\n17930 26835\n83907 100000\n2501 3771\n27196 40635\n78995 100000\n61715 92580\n64765 97139\n96457 100000\n59137 88682\n69275 100000\n27022 40380\n39662 59365\n44405 66456\n46251 69239\n30451 45519\n24697 36907\n99333 100000\n97517 100000\n82590 100000\n60040 90062\n6656 9958\n96784 100000\n73340 100000\n36286 54249\n75227 100000\n9617 14417\n10094 15146\n63352 95034\n4363 6559\n2431 3668\n93010 100000\n23671 35394\n84429 100000\n25183 37623\n1313 1992\n44909 67201\n12868 19293\n98442 100000\n99613 100000\n83453 100000\n72727 100000\n82107 100000\n52710 79007\n84840 100000\n17040 25490\n75524 100000\n31258 46737\n94981 100000\n48070 71985\n43568 65190\n90619 100000\n20304 30366\n54341 81456\n81212 100000\n38468 57555\n87048 100000\n58558 87833\n40404 60472\n12220 18331\n47231 70716\n92855 100000\n16010 23976\n87112 100000\n74891 100000\n87606 100000\n90571 100000\n83245 100000\n56375 84514\n78907 100000\n78281 100000\n80448 100000\n63995 95985\n75413 100000\n3205 4834\n73693 100000\n57822 86728\n12687 19018\n52187 78209\n65382 98069\n45724 68439\n38469 57556\n2634 3970\n76013 100000\n77472 100000\n14825 22193\n72473 100000\n70377 100000\n42915 64213\n88125 100000\n31182 46620\n16674 24941\n51869 77734\n71753 100000\n37022 55354\n13073 19592\n96352 100000\n92540 100000\n5912 8848\n51670 77423\n11529 17286\n78430 100000\n52209 78242\n61641 92466\n87797 100000\n92840 100000\n12851 19265\n22526 33671\n97662 100000\n67906 100000\n3300 4968\n72914 100000\n23448 35068\n2867 4321\n73507 100000\n40685 60889\n29374 43877\n97696 100000\n81752 100000\n70408 100000\n12867 19292\n18488 27662\n67033 100000\n42925 64228\n84918 100000\n41596 62246\n76497 100000\n64110 96158\n25080 37468\n11778 17662\n87652 100000\n24037 35952\n21438 32049\n17875 26747\n87750 100000\n35023 52357\n53279 79841\n77395 100000\n55805 83657\n44948 67265\n51821 77663\n95776 100000\n62369 93576\n41439 62017\n25067 37449\n65217 97820\n94108 100000\n8616 12899\n40427 60504\n93959 100000\n29756 44467\n73520 100000\n17328 25928\n25035 37397\n58546 87816\n23576 35252\n88143 100000\n18252 27310\n24945 37272\n58326 87484\n85265 100000\n14758 22091\n83529 100000\n1681 2540\n48231 72230\n19106 28570\n35445 52987\n56296 84391\n38953 58290\n44973 67297\n85957 100000\n7841 11737\n49908 74772\n34513 51598\n57875 86801\n22665 33890\n85124 100000\n71346 100000\n98058 100000\n2888 4354\n50779 76066\n10460 15690\n20945 31306\n42382 63421\n67070 100000\n92898 100000\n5579 8366\n11135 16689\n57559 86319\n84726 100000\n63638 95451\n5978 8946\n59978 89967\n41117 61542\n2103 3171\n96158 100000\n37144 55544\n70778 100000\n13665 20468\n99275 100000\n47804 71591\n27693 41372\n99614 100000\n44491 66583\n53851 80716\n8352 12501\n66701 100000\n62837 94259\n17724 26512\n6875 10283\n8204 12284\n49932 74806\n31098 46498\n67935 100000\n75319 100000\n33226 49673\n37669 56327\n98690 100000\n91182 100000\n79050 100000\n85183 100000\n86091 100000\n49952 74834\n6968 10420\n58609 87906\n8622 12909\n11799 17694\n38809 58072\n5307 7963\n15838 23710\n69806 100000\n38072 56945\n77750 100000\n16235 24308\n96519 100000\n84050 100000\n74155 100000\n77542 100000\n51490 77152\n89739 100000\n55402 83055\n42413 63466\n44805 67045\n72560 100000\n70098 100000\n32674 48854\n46949 70291\n82358 100000\n16077 24078\n72748 100000\n83301 100000\n40915 61234\n68784 100000\n77837 100000\n399 600\n39728 59466\n73839 100000\n21881 32708\n89708 100000\n37384 55898\n94941 100000\n76957 100000\n98716 100000\n61653 92484\n58516 87771\n35772 53477\n41993 62818\n90961 100000\n40975 61326\n61476 92221\n91296 100000\n17626 26370\n1544 2336\n35072 52430\n69484 100000\n69314 100000\n3453 5201\n45273 67760\n40899 61210\n96365 100000\n23977 35860\n65728 98594\n87707 100000\n20576 30775\n84983 100000\n92213 100000\n60467 90709\n69185 100000\n20699 30952\n706 1071\n22848 34159\n14151 21196\n52725 79029\n38605 57765\n98423 100000\n54941 82369\n66089 99143\n46173 69120\n20825 31134\n21227 31735\n38631 57808\n7734 11576\n84395 100000\n73845 100000\n5124 7693\n63292 94938\n64455 96657\n53993 80936\n41844 62602\n81971 100000\n63903 95845\n11418 17120\n82109 100000\n38681 57881\n43528 65129\n23219 34720\n77955 100000\n46568 69725\n96383 100000\n26870 40150\n72773 100000\n73880 100000\n24158 36128\n8583 12846\n71921 100000\n68561 100000\n72000 100000\n56353 84480\n60146 90222\n99403 100000\n20101 30058\n98034 100000\n15955 23890\n69411 100000\n96056 100000\n22992 34373\n8862 13282\n55590 83336\n49490 74142\n13619 20404\n1440 2180\n86984 100000\n66702 100000\n38867 58155\n13611 20392\n88048 100000\n16385 24522\n43040 64392\n53425 80072\n97146 100000\n44580 66719\n62469 93711\n90325 100000\n73499 100000\n36153 54050\n53435 80089\n57335 85975\n17481 26154\n33466 50028\n7000 10471\n40235 60212\n36342 54338\n13562 20323\n71898 100000\n42886 64169\n73602 100000\n36376 54393\n97567 100000\n6493 9703\n30023 44875\n8216 12299\n77396 100000\n38232 57191\n61530 92308\n30946 46263\n75876 100000\n22812 34108\n44990 67325\n34135 51018\n12698 19035\n79974 100000\n63076 94613\n31977 47814\n62717 94073\n98982 100000\n9677 14513\n86630 100000\n55515 83217\n98780 100000\n50877 76218\n39921 59751\n12767 19141\n82799 100000\n97130 100000\n32187 48133\n6383 9557\n80203 100000\n86223 100000\n27315 40813\n71500 100000\n67440 100000\n43601 65249\n52552 78771\n96127 100000\n38963 58307\n85672 100000\n97917 100000\n20745 31016\n42141 63052\n91846 100000\n98236 100000\n34693 51871\n51659 77405\n24725 36953\n10146 15219\n81625 100000\n43966 65796\n89586 100000\n83116 100000\n43160 64575\n60151 90227\n9268 13906\n2265 3416\n97516 100000\n1312 1991\n90888 100000\n30375 45404\n11572 17348\n97759 100000\n40784 61041\n18248 27304\n15633 23413\n94607 100000\n9359 14043\n92767 100000\n74537 100000\n57074 85567\n5069 7612\n50309 75373\n67454 100000\n39436 59022\n59359 89021\n24497 36613\n44192 66137\n79621 100000\n21153 31626\n73311 100000\n2658 4005\n93152 100000\n34102 50970\n52194 78218\n64910 97354\n63252 94876\n53250 79801\n60119 90181\n590 898\n96152 100000\n58734 88091\n9720 14580\n28357 42376\n97881 100000\n49313 73872\n97095 100000\n40460 60553\n66981 100000\n91688 100000\n76153 100000\n50703 75954\n171 256\n9208 13820\n90338 100000\n89295 100000\n55385 83030\n77021 100000\n60115 90174\n50405 75516\n87145 100000\n44240 66205\n33520 50101\n99058 100000\n57153 85694\n44372 66408\n38811 58075\n93917 100000\n48576 72746\n13245 19845\n25371 37908\n20684 30930\n48884 73205\n86561 100000\n39599 59265\n55661 83442\n12824 19225\n28012 41856\n92873 100000\n33585 50202\n69766 100000\n72360 100000\n99594 100000\n41138 61573\n88362 100000\n25054 37426\n33706 50374\n30928 46237\n53455 80119\n19698 29450\n1468 2223\n77134 100000\n66930 100000\n94461 100000\n82558 100000\n23410 35003\n13945 20884\n71039 100000\n47889 71720\n52314 78410\n9085 13630\n88117 100000\n84927 100000\n37981 56802\n94321 100000\n46928 70261\n46796 70066\n90426 100000\n4416 6637\n64710 97057\n38795 58048\n61402 92117\n72347 100000\n16797 25122\n22803 34095\n32281 48273\n46507 69633\n60827 91244\n11152 16713\n19146 28631\n22649 33865\n43760 65485\n72747 100000\n56109 84110\n7795 11668\n34409 51431\n44079 65967\n71143 100000\n94844 100000\n82548 100000\n74042 100000\n21331 31888\n2369 3576\n61900 92865\n2425 3659\n24782 37035\n6195 9270\n51848 77706\n13994 20960\n75064 100000\n71257 100000\n5829 8727\n68542 100000\n59914 89864\n36655 54800\n42691 63876\n35723 53405\n84638 100000\n16191 24243\n13508 20240\n21601 32293\n20191 30192\n39859 59660\n81684 100000\n39453 59048\n4847 7291\n91504 100000\n90648 100000\n52219 78258\n32133 48052\n57158 85702\n2289 3453\n13771 20625\n81375 100000\n91117 100000\n13160 19717\n47119 70549\n699 1060\n33056 49424\n16313 24421\n32688 48872\n21975 32846\n5266 7904\n9588 14374\n56346 84470\n74372 100000\n63112 94670\n79524 100000\n71650 100000\n62368 93575\n13158 19715\n37425 55961\n25340 37857\n53924 80830\n63863 95782\n81284 100000\n60735 91104\n9333 14004\n15188 22736\n41124 61552\n44893 67174\n63276 94913\n49629 74355\n18850 28194\n54660 81944\n94424 100000\n41170 61620\n10303 15463\n48316 72355\n32965 49285\n11354 17021\n72529 100000\n45403 67956\n63017 94528\n85178 100000\n39308 58834\n98397 100000\n52419 78564\n25820 38577\n76228 100000\n64976 97446\n88814 100000\n38447 57520\n50292 75347\n25209 37660\n11638 17449\n89581 100000\n76778 100000\n68765 100000\n85721 100000\n3042 4583\n49438 74068\n34307 51280\n55550 83273\n384 579\n97230 100000\n30311 45308\n89590 100000\n85225 100000\n46875 70185\n18121 27118\n4074 6133\n77382 100000\n15171 22710\n70840 100000\n14592 21849\n6478 9682\n1383 2098\n68209 100000\n53763 80591\n26708 39912\n74590 100000\n76464 100000\n70197 100000\n99429 100000\n6045 9050\n82669 100000\n5550 8322\n80236 100000\n53963 80887\n68343 100000\n53325 79916\n21064 31497\n59727 89582\n75416 100000\n77983 100000\n23184 34667\n26776 40011\n94125 100000\n47535 71190\n80923 100000\n50691 75938\n88398 100000\n97634 100000\n83465 100000\n34244 51183\n77815 100000\n80902 100000\n29860 44627\n87531 100000\n61832 92758\n30232 45184\n56112 84115\n77210 100000\n67342 100000\n99752 100000\n63752 95621\n62642 93967\n18201 27233\n72811 100000\n53584 80318\n33270 49738\n7260 10868\n92042 100000\n5480 8215\n14687 21987\n69267 100000\n56573 84809\n86259 100000\n11790 17680\n22888 34223\n62372 93581\n2877 4336\n28649 42800\n34772 51989\n31400 46950\n65631 98449\n86175 100000\n34523 51613\n34140 51025\n70599 100000\n35919 53696\n69413 100000\n19871 29707\n91123 100000\n10321 15489\n65455 98182\n95515 100000\n72057 100000\n70295 100000\n34008 50825\n91751 100000\n22090 33020\n55326 82942\n71377 100000\n9410 14114\n68107 100000\n75838 100000\n77440 100000\n72982 100000\n49307 73863\n27829 41583\n82160 100000\n59135 88678\n70030 100000\n12717 19064\n63772 95650\n35174 52578\n78375 100000\n72689 100000\n12513 18760\n64440 96636\n55972 83909\n18926 28311\n45647 68320\n23137 34596\n99821 100000\n23877 35708\n80584 100000\n9870 14805\n93736 100000\n82641 100000\n46156 69092\n69790 100000\n8341 12486\n99590 100000\n51336 76918\n10320 15488\n22742 34008\n19997 29896\n31650 47336\n80757 100000\n82813 100000\n21060 31491\n41394 61955\n46180 69130\n28312 42309\n10339 15513\n74363 100000\n68947 100000\n67811 100000\n27910 41704\n34478 51540\n10467 15701\n23424 35025\n39132 58556\n63010 94518\n22149 33105\n78828 100000\n22754 34026\n86552 100000\n28748 42951\n79303 100000\n25149 37571\n89906 100000\n10503 15758\n9847 14773\n26205 39166\n32919 49218\n46134 69059\n46249 69235\n42063 62930\n62786 94178\n48837 73135\n24494 36609\n81453 100000\n27738 41444\n49144 73611\n8021 12007\n36461 54518\n73821 100000\n42882 64162\n94561 100000\n6316 9455\n37506 56080\n53065 79528\n31645 47329\n35211 52634\n41815 62561\n4054 6109\n11777 17660\n83384 100000\n83507 100000\n55604 83358\n10154 15230\n2869 4324\n36480 54544\n2511 3786\n12350 18523\n58653 87972\n63168 94750\n63353 95036\n85014 100000\n57866 86790\n90493 100000\n19507 29161\n76221 100000\n11897 17839\n41584 62226\n44411 66464\n3790 5700\n9363 14048\n90529 100000\n92683 100000\n53685 80477\n24564 36715\n90458 100000\n23575 35251\n40994 61357\n64529 96780\n50919 76285\n48137 72093\n82560 100000\n80044 100000\n6142 9197\n41542 62166\n5180 7781\n42836 64092\n45323 67835\n43315 64809\n33064 49435\n74177 100000\n42419 63475\n4998 7512\n15963 23901\n70955 100000\n56682 84969\n59430 89134\n5200 7810\n60324 90491\n66571 99886\n62849 94277\n46629 69816\n8707 13044\n38244 57212\n30964 46292\n81391 100000\n72363 100000\n37143 55542\n21191 31682\n34603 51735\n90472 100000\n76430 100000\n61512 92280\n10476 15715\n64947 97408\n41003 61370\n37373 55884\n89222 100000\n67609 100000\n74262 100000\n69557 100000\n12456 18677\n61659 92492\n39471 59074\n35908 53676\n24066 35997\n16179 24225\n83912 100000\n4440 6672\n3560 5356\n61296 91960\n26439 39520\n27751 41460\n48958 73321\n314 470\n86339 100000\n79552 100000\n50960 76347\n59438 89146\n62417 93637\n40707 60920\n37676 56339\n74425 100000\n92266 100000\n4575 6879\n88624 100000\n90546 100000\n87430 100000\n7858 11760\n62682 94026\n40017 59887\n75650 100000\n2524 3807\n66541 99842\n54502 81700\n40527 60657\n12589 18875\n42294 63287\n15033 22505\n81359 100000\n15076 22569\n41656 62335\n27601 41242\n92843 100000\n5981 8950\n92404 100000\n44662 66839\n1447 2191\n46285 69288\n90328 100000\n88741 100000\n16059 24049\n54968 82413\n31928 47742\n80343 100000\n2736 4124\n56204 84254\n28679 42849\n48128 72078\n60403 90603\n85528 100000\n46088 68991\n53725 80536\n96826 100000\n71225 100000\n75221 100000\n64191 96277\n67696 100000\n4013 6050\n43139 64545\n58138 87196\n20436 30567\n84599 100000\n46575 69735\n83253 100000\n88301 100000\n95767 100000\n20172 30166\n80218 100000\n3181 4796\n32778 49007\n23541 35204\n74170 100000\n11311 16958\n63823 95723\n26185 39137\n42589 63721\n77360 100000\n78536 100000\n83311 100000\n98311 100000\n38474 57563\n69007 100000\n30144 45048\n42099 62983\n34491 51560\n19576 29266\n17972 26897\n39600 59266\n25547 38166\n28330 42338\n56399 84550\n19828 29640\n65360 98034\n86350 100000\n23445 35062\n57923 86878\n41650 62326\n54165 81198\n29358 43854\n65866 98798\n57626 86421\n68617 100000\n33394 49917\n44859 67126\n30487 45572\n58227 87329\n56328 84444\n20664 30900\n40532 60664\n34448 51493\n28030 41883\n25938 38754\n69488 100000\n89203 100000\n21970 32839\n57342 85986\n82741 100000\n40225 60200\n72558 100000\n65659 98491\n39163 58606\n23108 34556\n94137 100000\n69081 100000\n66523 99814\n46001 68863\n36586 54700\n1188 1811\n50255 75290\n68751 100000\n22199 33178\n85767 100000\n89910 100000\n90927 100000\n59045 88542\n36617 54746\n11785 17672\n12416 18618\n35461 53012\n29020 43365\n22858 34176\n93209 100000\n1163 1778\n10626 15943\n3771 5668\n37639 56279\n89026 100000\n66551 99856\n83333 100000\n57475 86187\n2584 3894\n85006 100000\n42735 63946\n23425 35027\n24337 36391\n90570 100000\n3175 4786\n91453 100000\n55694 83492\n97196 100000\n72919 100000\n4610 6933\n6410 9594\n80345 100000\n60661 90994\n87599 100000\n84474 100000\n52495 78679\n6922 10351\n91248 100000\n25992 38837\n51938 77838\n42935 64240\n13955 20900\n99267 100000\n71660 100000\n53270 79828\n14254 21356\n36831 55062\n49330 73902\n68235 100000\n42987 64316\n56303 84402\n24508 36630\n85416 100000\n93715 100000\n96262 100000\n94033 100000\n14511 21734\n93033 100000\n65535 98303\n11051 16570\n54934 82361\n90099 100000\n40346 60379\n7802 11680\n88071 100000\n84493 100000\n94023 100000\n62319 93503\n55609 83366\n11243 16856\n90002 100000\n48461 72567\n71704 100000\n58626 87931\n30654 45820\n94373 100000\n80294 100000\n56048 84021\n70628 100000\n67084 100000\n34964 52268\n29859 44625\n57402 86074\n19883 29727\n5222 7843\n19264 28805\n93365 100000\n93871 100000\n44984 67315\n38399 57446\n52523 78723\n13053 19566\n97925 100000\n79708 100000\n88943 100000\n2744 4137\n32287 48281\n72701 100000\n56689 84979\n11173 16745\n88396 100000\n24252 36267\n57915 86865\n41600 62253\n1319 2000\n18565 27773\n25027 37386\n7112 10636\n73842 100000\n51172 76664\n77295 100000\n16388 24528\n83262 100000\n79878 100000\n82287 100000\n44582 66723\n92777 100000\n66937 100000\n26985 40326\n35925 53705\n99609 100000\n81962 100000\n86324 100000\n97094 100000\n98521 100000\n58499 87744\n58400 87601\n39697 59417\n43877 65666\n66055 99092\n89462 100000\n30281 45262\n18227 27273\n8168 12229\n91031 100000\n8132 12177\n53583 80317\n29447 43984\n96155 100000\n12273 18408\n62349 93547\n51850 77709\n86297 100000\n26384 39439\n1607 2434\n22678 33907\n64911 97356\n12547 18813\n75067 100000\n95826 100000\n72658 100000\n3646 5477\n48416 72501\n80240 100000\n48485 72603\n48952 73312\n35089 52454\n24288 36315\n90412 100000\n28598 42718\n4705 7077\n46761 70012\n97656 100000\n57331 85968\n95133 100000\n38222 57177\n30174 45095\n95382 100000\n45796 68550\n77767 100000\n83517 100000\n5230 7854\n35608 53229\n45734 68454\n79074 100000\n32790 49026\n63678 95514\n67891 100000\n81160 100000\n88916 100000\n18560 27767\n95762 100000\n19215 28731\n42799 64035\n94944 100000\n16294 24394\n87744 100000\n59628 89437\n63622 95427\n43296 64782\n50387 75490\n30756 45982\n62450 93683\n15365 23001\n30859 46133\n41193 61659\n9077 13620\n32639 48803\n9860 14790\n48628 72825\n10770 16158\n60679 91020\n75787 100000\n69327 100000\n89871 100000\n22213 33195\n20957 31327\n39423 59000\n8794 13180\n29593 44207\n59786 89670\n62119 93201\n66329 99508\n7294 10918\n50300 75361\n4261 6409\n45228 67689\n54855 82239\n20969 31347\n37450 55998\n97254 100000\n25680 38362\n1692 2556\n40054 59943\n66631 99978\n96736 100000\n15147 22673\n69991 100000\n73619 100000\n52188 78211\n46934 70270\n77460 100000\n50789 76081\n67377 100000\n26229 39202\n90797 100000\n31093 46492\n77262 100000\n60573 90862\n47877 71701\n45928 68755\n60035 90054\n66176 99280\n69444 100000\n47862 71679\n66062 99104\n73772 100000\n33695 50359\n89100 100000\n2662 4012\n84248 100000\n12339 18509\n30679 45858\n35450 52995\n89192 100000\n24399 36472\n19185 28684\n42602 63740\n57591 86367\n10024 15038\n8382 12550\n17220 25767\n641 977\n85603 100000\n57677 86498\n2388 3604\n2600 3920\n65666 98500\n23763 35532\n25642 38300\n13718 20543\n17688 26460\n20152 30136\n46860 70164\n74427 100000\n1648 2497\n31390 46936\n32580 48714\n21776 32556\n45635 68301\n94750 100000\n6981 10441\n57008 85463\n62104 93179\n23841 35650\n72160 100000\n6311 9447\n2731 4115\n569 864\n71152 100000\n64716 97064\n49281 73825\n56202 84251\n37839 56590\n98578 100000\n91244 100000\n45610 68266\n83951 100000\n2513 3790\n1455 2203\n56023 83982\n77136 100000\n52844 79200\n5483 8220\n38336 57346\n64512 96754\n36819 55041\n88907 100000\n15058 22544\n14001 20971\n48589 72769\n59919 89873\n17474 26143\n82528 100000\n62979 94470\n72470 100000\n38477 57567\n51564 77262\n19312 28875\n66107 99170\n66127 99203\n82724 100000\n7670 11483\n19271 28817\n56736 85050\n28782 43004\n63399 95099\n85117 100000\n50089 75037\n50192 75194\n71527 100000\n41341 61882\n93809 100000\n4154 6256\n75887 100000\n29517 44091\n60528 90799\n74403 100000\n31074 46465\n97704 100000\n11288 16924\n13886 20795\n98388 100000\n9341 14014\n25536 38152\n44613 66769\n25292 37786\n74703 100000\n35378 52885\n2651 3994\n26137 39059\n63717 95572\n40372 60420\n88138 100000\n88628 100000\n67984 100000\n82159 100000\n8256 12355\n84346 100000\n75648 100000\n66211 99333\n48213 72202\n82406 100000\n60091 90135\n74639 100000\n19272 28819\n96121 100000\n92226 100000\n77232 100000\n8233 12324\n9379 14067\n57506 86235\n35738 53427\n84517 100000\n75137 100000\n50125 75093\n15383 23027\n35592 53207\n35581 53188\n19642 29367\n19994 29890\n31908 47713\n42727 63932\n7209 10788\n22589 33771\n5592 8384\n91051 100000\n52555 78777\n54331 81442\n14503 21722\n20953 31320\n8011 11992\n76444 100000\n5544 8311\n37787 56508\n70300 100000\n987 1510\n93271 100000\n5508 8257\n65287 97928\n11075 16604\n24419 36500\n83289 100000\n55321 82934\n15839 23712\n10181 15272\n36742 54926\n7474 11192\n50142 75119\n70781 100000\n82891 100000\n59555 89329\n57572 86338\n35959 53752\n64514 96757\n30377 45406\n84610 100000\n2682 4043\n27159 40585\n93387 100000\n34094 50958\n47793 71575\n48964 73329\n22183 33153\n31867 47649\n82089 100000\n39944 59783\n6765 10124\n48536 72683\n63621 95425\n71601 100000\n18957 28355\n75696 100000\n76046 100000\n18364 27478\n58850 88262\n83345 100000\n97022 100000\n39632 59315\n26712 39918\n84168 100000\n53176 79694\n48504 72632\n17229 25779\n39362 58915\n56297 84392\n46648 69845\n30538 45646\n41490 62089\n58632 87938\n64002 95995\n93471 100000\n71031 100000\n21001 31396\n60925 91386\n3699 5561\n24641 36829\n27270 40743\n48363 72424\n27822 41569\n71671 100000\n16045 24027\n99805 100000\n8439 12632\n50029 74948\n30674 45851\n19717 29477\n48017 71909\n38622 57792\n92712 100000\n74172 100000\n46168 69112\n36221 54150\n59500 89239\n33518 50098\n91150 100000\n74491 100000\n51862 77725\n47227 70709\n95508 100000\n44560 66685\n8829 13232\n38842 58119\n57261 85863\n48825 73118\n21300 31840\n64899 97335\n36626 54756\n9104 13660\n74556 100000\n71823 100000\n49975 74866\n93108 100000\n74237 100000\n81751 100000\n29688 44364\n65929 98896\n92493 100000\n49764 74558\n10297 15454\n58812 88205\n32045 47919\n59964 89945\n35667 53319\n87915 100000\n52546 78760\n13509 20241\n72003 100000\n58669 87996\n7303 10932\n81608 100000\n30858 46132\n13389 20066\n88169 100000\n91210 100000\n83535 100000\n59209 88793\n22279 33291\n80349 100000\n37028 55364\n22122 33065\n39003 58365\n32257 48239\n96019 100000\n13119 19660\n79206 100000\n36456 54510\n84554 100000\n84691 100000\n31834 47597\n29675 44344\n38074 56948\n12434 18646\n9706 14560\n55618 83380\n82354 100000\n48015 71907\n97344 100000\n72151 100000\n37841 56593\n68055 100000\n79057 100000\n66988 100000\n18441 27596\n5745 8606\n54227 81287\n8024 12013\n89524 100000\n10819 16227\n99167 100000\n5619 8422\n31622 47288\n83569 100000\n35196 52612\n12252 18377\n89109 100000\n83825 100000\n88848 100000\n713 1082\n24058 35985\n20164 30155\n22849 34161\n36646 54785\n8881 13311\n38741 57971\n38075 56950\n8826 13227\n50249 75281\n30876 46159\n12921 19369\n17896 26778\n57242 85833\n56985 85426\n72085 100000\n36365 54376\n5056 7591\n59133 88676\n1658 2512\n38790 58039\n64071 96096\n66697 100000\n14890 22296\n27676 41347\n87912 100000\n58266 87388\n19127 28603\n59198 88774\n95629 100000\n91333 100000\n56718 85023\n89826 100000\n18516 27705\n69402 100000\n4077 6139\n73341 100000\n71577 100000\n97748 100000\n25238 37704\n95988 100000\n34750 51959\n41632 62298\n67371 100000\n52886 79262\n17772 26586\n8716 13059\n29999 44839\n53197 79722\n24382 36449\n34245 51185\n60350 90529\n41079 61485\n92820 100000\n12396 18591\n58300 87442\n60860 91292\n54116 81123\n40989 61348\n65691 98538\n10937 16404\n80018 100000\n62326 93514\n63360 95046\n26141 39067\n76735 100000\n92878 100000\n22148 33103\n93329 100000\n45967 68810\n56164 84197\n30292 45277\n8107 12139\n11547 17313\n22796 34085\n79935 100000\n31880 47669\n36967 55267\n68524 100000\n22270 33279\n17130 25625\n3392 5106\n63462 95192\n96252 100000\n13768 20619\n50217 75235\n81233 100000\n11894 17835\n86848 100000\n34110 50983\n19432 29060\n4061 6117\n12022 18033\n13113 19650\n93383 100000\n24548 36689\n29380 43886\n49712 74480\n36725 54900\n36010 53829\n99888 100000\n74612 100000\n65108 97649\n58436 87652\n91903 100000\n48484 72601\n77984 100000\n77038 100000\n15149 22676\n180 270\n2089 3151\n53404 80038\n32417 48471\n68805 100000\n80013 100000\n89323 100000\n53036 79484\n47669 71383\n96361 100000\n60488 90739\n98964 100000\n45414 67973\n79107 100000\n24139 36102\n7671 11484\n79754 100000\n41275 61779\n24534 36667\n5867 8779\n82112 100000\n14986 22432\n23282 34813\n13492 20214\n37889 56666\n2934 4419\n29610 44232\n51433 77070\n12854 19268\n54197 81245\n18468 27633\n15730 23559\n53700 80501\n2587 3898\n5617 8419\n26217 39186\n91478 100000\n73459 100000\n74644 100000\n28528 42616\n89344 100000\n97033 100000\n79366 100000\n71740 100000\n93863 100000\n25686 38371\n26318 39343\n56935 85354\n32665 48841\n93284 100000\n67419 100000\n45789 68538\n51118 76586\n4505 6771\n79138 100000\n81550 100000\n29450 43988\n74349 100000\n89118 100000\n37225 55666\n29576 44180\n61117 91674\n86235 100000\n88054 100000\n58378 87565\n27571 41192\n90994 100000\n12974 19450\n42014 62853\n77331 100000\n17269 25840\n64188 96273\n13673 20479\n53471 80142\n64184 96267\n88654 100000\n68867 100000\n78015 100000\n36645 54784\n16719 25011\n26891 40182\n72920 100000\n4226 6360\n51799 77631\n60633 90953\n46369 69419\n62916 94381\n91660 100000\n14093 21106\n6189 9262\n73157 100000\n46877 70187\n95573 100000\n14483 21691\n44617 66775\n45921 68742\n2234 3368\n65785 98682\n86453 100000\n43797 65543\n25299 37795\n28903 43189\n51660 77407\n63285 94928\n39923 59753\n73941 100000\n63267 94899\n59797 89687\n57032 85499\n64949 97410\n63070 94604\n68522 100000\n86451 100000\n29589 44201\n17932 26839\n35843 53581\n13077 19597\n15544 23275\n12946 19405\n5613 8414\n70544 100000\n25581 38213\n72684 100000\n52847 79204\n8549 12797\n54035 81002\n25484 38078\n98005 100000\n60572 90860\n14874 22269\n38884 58180\n45978 68829\n72265 100000\n33739 50425\n12965 19435\n97320 100000\n48247 72255\n71876 100000\n26866 40143\n84825 100000\n64584 96865\n62036 93067\n55216 82782\n97580 100000\n5285 7932\n76398 100000\n71394 100000\n91840 100000\n52400 78538\n46968 70320\n75244 100000\n47997 71885\n50376 75475\n21161 31637\n82432 100000\n8880 13309\n12614 18913\n41744 62459\n50423 75543\n16705 24990\n36030 53860\n99971 100000\n53840 80699\n43737 65448\n76812 100000\n81899 100000\n30707 45903\n85649 100000\n55572 83308\n39517 59143\n29043 43397\n66838 100000\n23492 35139\n46351 69389\n2907 4381\n9991 14983\n91959 100000\n90027 100000\n3941 5943\n55823 83684\n36823 55047\n20837 31151\n62872 94311\n60883 91329\n52073 78042\n22677 33905\n22046 32951\n86749 100000\n43088 64464\n6220 9309\n11213 16811\n43747 65462\n61956 92949\n70755 100000\n87982 100000\n73071 100000\n38586 57736\n96009 100000\n11452 17174\n64511 96752\n47859 71676\n96609 100000\n49980 74871\n11272 16901\n90203 100000\n89982 100000\n26684 39875\n67582 100000\n62619 93933\n41233 61716\n65649 98477\n98016 100000\n93434 100000\n25413 37976\n67882 100000\n68856 100000\n17010 25443\n79619 100000\n93998 100000\n84306 100000\n31562 47194\n13490 20211\n83338 100000\n44939 67253\n17858 26719\n11065 16589\n61835 92764\n78649 100000\n39434 59019\n84020 100000\n9386 14076\n17260 25825\n98358 100000\n77448 100000\n93984 100000\n71496 100000\n70317 100000\n78521 100000\n84280 100000\n89074 100000\n40584 60741\n93261 100000\n39712 59442\n34961 52263\n86147 100000\n83515 100000\n98664 100000\n25049 37417\n35387 52898\n60814 91224\n51566 77264\n63175 94762\n95041 100000\n50344 75428\n94526 100000\n81708 100000\n27250 40715\n27665 41333\n56903 85301\n77256 100000\n38977 58327\n95156 100000\n94756 100000\n81561 100000\n65340 98006\n46248 69234\n35137 52523\n75383 100000\n30925 46234\n60131 90198\n98874 100000\n7842 11739\n92672 100000\n82898 100000\n31978 47816\n45127 67534\n19895 29745\n68628 100000\n73263 100000\n48798 73075\n51680 77440\n40588 60747\n25802 38546\n15095 22596\n90245 100000\n49005 73391\n92905 100000\n28558 42657\n56955 85382\n28442 42494\n69661 100000\n15493 23197\n66292 99457\n27094 40489\n5258 7894\n97266 100000\n76747 100000\n57545 86296\n10946 16417\n11699 17542\n34547 51653\n92289 100000\n75967 100000\n80825 100000\n80413 100000\n43112 64503\n15329 22948\n74068 100000\n86229 100000\n70057 100000\n1674 2532\n98635 100000\n55096 82610\n82932 100000\n92235 100000\n50678 75923\n96405 100000\n81637 100000\n61829 92753\n50655 75889\n80433 100000\n51142 76619\n25343 37861\n75022 100000\n79624 100000\n58065 87091\n1333 2023\n92473 100000\n15230 22796\n42379 63417\n20485 30642\n78459 100000\n33299 49778\n83975 100000\n99629 100000\n71997 100000\n43742 65455\n49686 74439\n26303 39318\n45389 67934\n22224 33210\n28195 42137\n48569 72734\n97833 100000\n58059 87080\n76978 100000\n77684 100000\n14376 21532\n26792 40033\n66753 100000\n73154 100000\n58875 88299\n96800 100000\n7319 10956\n87718 100000\n32129 48046\n60425 90639\n43696 65388\n80993 100000\n64411 96595\n64692 97027\n46492 69613\n16902 25282\n22164 33125\n52729 79034\n49047 73457\n17600 26329\n51657 77402\n29928 44731\n37421 55955\n17464 26128\n54559 81787\n61434 92162\n50598 75810\n72405 100000\n99849 100000\n50630 75852\n52765 79087\n92901 100000\n27548 41158\n8734 13087\n77306 100000\n85221 100000\n89430 100000\n47418 71014\n1532 2321\n83987 100000\n71084 100000\n9032 13548\n93063 100000\n72896 100000\n48209 72195\n21620 32324\n24503 36622\n53553 80270\n80650 100000\n24338 36393\n56122 84132\n72873 100000\n91324 100000\n18090 27072\n17992 26931\n2115 3189\n60093 90139\n87199 100000\n65218 97822\n34674 51840\n99140 100000\n83782 100000\n92924 100000\n6389 9564\n72362 100000\n39373 58929\n53501 80191\n32600 48744\n47383 70957\n84465 100000\n64477 96695\n7128 10662\n89342 100000\n99256 100000\n3382 5091\n96781 100000\n4862 7314\n45788 68536\n37872 56639\n66751 100000\n76788 100000\n39960 59806\n95877 100000\n51117 76585\n23724 35473\n11722 17576\n88682 100000\n26772 40006\n73011 100000\n93121 100000\n81253 100000\n6789 10154\n622 946\n21733 32493\n138 207\n67721 100000\n45216 67668\n28272 42251\n95217 100000\n51796 77628\n53054 79512\n37908 56698\n41557 62186\n75598 100000\n48892 73216\n14880 22279\n81240 100000\n52533 78739\n80803 100000\n96535 100000\n11968 17949\n45239 67707\n20106 30066\n56874 85256\n98153 100000\n20315 30380\n14529 21763\n47331 70870\n20618 30834\n20579 30780\n39871 59679\n9017 13526\n58843 88251\n65883 98825\n91981 100000\n21048 31471\n57874 86800\n89820 100000\n97830 100000\n32586 48724\n68487 100000\n46058 68949\n45517 68127\n777 1183\n8265 12371\n65440 98156\n35110 52487\n42827 64079\n87738 100000\n18186 27211\n48567 72731\n26693 39890\n11636 17445\n58726 88082\n86064 100000\n84853 100000\n40734 60961\n54071 81057\n10688 16036\n36632 54766\n10751 16128\n87566 100000\n50927 76298\n47089 70501\n25302 37799\n61251 91893\n83273 100000\n31513 47122\n43814 65568\n76897 100000\n8047 12049\n66754 100000\n59820 89724\n90723 100000\n60050 90077\n36084 53948\n39992 59851\n3989 6013\n25322 37832\n95715 100000\n57359 86011\n89508 100000\n98470 100000\n50280 75328\n23151 34616\n55012 82485\n8833 13236\n42353 63378\n57624 86419\n558 846\n91764 100000\n58238 87347\n89009 100000\n45820 68583\n62305 93479\n48037 71938\n19198 28707\n31767 47503\n65637 98460\n22609 33801\n72395 100000\n57490 86209\n27567 41186\n38701 57912\n37888 56664\n24329 36377\n67214 100000\n76045 100000\n44697 66888\n99051 100000\n29794 44525\n77367 100000\n1527 2313\n42452 63521\n71154 100000\n35918 53694\n9290 13939\n95333 100000\n4868 7321\n26633 39805\n5190 7797\n92603 100000\n94116 100000\n1325 2010\n15121 22635\n24048 35968\n10371 15560\n61277 91937\n95768 100000\n26155 39088\n22608 33800\n6179 9248\n15529 23252\n56528 84743\n7522 11269\n51213 76725\n85678 100000\n9878 14814\n9971 14951\n71690 100000\n49813 74628\n45980 68831\n65346 98015\n24965 37299\n90305 100000\n9419 14128\n70099 100000\n58204 87294\n42862 64128\n41847 62607\n72797 100000\n88407 100000\n10049 15076\n39393 58956\n60175 90264\n62695 94044\n79904 100000\n43252 64715\n14172 21230\n23341 34905\n55597 83347\n23149 34613\n12272 18406\n9304 13960\n92957 100000\n39880 59692\n35393 52907\n87649 100000\n33301 49782\n77883 100000\n2060 3104\n96015 100000\n20350 30432\n57456 86162\n52348 78459\n43052 64408\n56029 83991\n77276 100000\n343 515\n93594 100000\n15802 23662\n78585 100000\n38380 57416\n68513 100000\n85628 100000\n98588 100000\n75763 100000\n14365 21515\n64464 96671\n6764 10122\n16035 24013\n99997 100000\n70545 100000\n93950 100000\n5436 8151\n61917 92889\n24203 36196\n57940 86903\n64916 97363\n77871 100000\n28115 42008\n73031 100000\n78294 100000\n87328 100000\n63683 95520\n50263 75302\n75855 100000\n95595 100000\n50775 76060\n50045 74973\n76360 100000\n46890 70208\n29247 43700\n79413 100000\n40390 60450\n95578 100000\n12366 18545\n45521 68134\n51993 77922\n10433 15653\n69493 100000\n93537 100000\n86947 100000\n51369 76970\n2844 4290\n69024 100000\n9950 14924\n19542 29212\n14482 21690\n35187 52598\n64647 96962\n79042 100000\n22841 34149\n73705 100000\n71522 100000\n35486 53050\n34252 51195\n84132 100000\n94910 100000\n72762 100000\n1382 2097\n48754 73014\n2243 3383\n84644 100000\n40487 60594\n32846 49108\n52793 79130\n50747 76021\n92103 100000\n37305 55781\n33238 49692\n38750 57986\n24148 36116\n87060 100000\n35823 53552\n53179 79698\n45362 67890\n13104 19637\n22098 33030\n81877 100000\n65134 97691\n4314 6482\n60596 90895\n90260 100000\n33069 49443\n81854 100000\n33006 49345\n40077 59979\n4919 7393\n49988 74885\n94655 100000\n70436 100000\n53140 79643\n19489 29138\n92316 100000\n74521 100000\n48816 73105\n9098 13650\n18648 27892\n84232 100000\n37784 56504\n39428 59009\n75780 100000\n42733 63942\n19615 29324\n74848 100000\n44610 66765\n80470 100000\n48009 71900\n2074 3126\n67266 100000\n27496 41080\n86352 100000\n44114 66021\n72065 100000\n69842 100000\n93772 100000\n16201 24257\n97131 100000\n77747 100000\n73873 100000\n81216 100000\n40649 60837\n53420 80065\n47780 71557\n33938 50713\n45306 67807\n697 1057\n94468 100000\n60019 90029\n21998 32879\n46843 70142\n47787 71566\n74515 100000\n44018 65875\n97562 100000\n41819 62566\n99428 100000\n23687 35418\n92612 100000\n94025 100000\n22833 34139\n6401 9580\n68162 100000\n46372 69422\n49595 74310\n37835 56585\n96208 100000\n12506 18748\n80838 100000\n39904 59727\n65635 98456\n48800 73079\n58728 88084\n3489 5256\n62982 94475\n51840 77694\n94145 100000\n77480 100000\n45433 67999\n7084 10595\n92639 100000\n92392 100000\n63115 94674\n86427 100000\n17438 26089\n70370 100000\n41941 62746\n38887 58185\n58864 88282\n89341 100000\n94426 100000\n58235 87344\n77872 100000\n52385 78516\n71904 100000\n63398 95098\n66506 99782\n14766 22101\n86935 100000\n25695 38385\n47849 71659\n32745 48958\n52759 79078\n24773 37022\n26783 40019\n68913 100000\n46209 69173\n43951 65778\n21239 31755\n74504 100000\n37415 55945\n63657 95482\n7760 11614\n85501 100000\n33405 49931\n2440 3682\n2937 4422\n33085 49470\n28225 42183\n42219 63166\n730 1111\n11767 17644\n73297 100000\n96021 100000\n93136 100000\n59403 89090\n22776 34057\n88493 100000\n41540 62164\n28427 42471\n6604 9876\n74257 100000\n4970 7466\n29434 43966\n6682 9995\n5153 7736\n33406 49932\n97700 100000\n84320 100000\n14907 22322\n3526 5309\n37504 56077\n28408 42443\n40129 60055\n44335 66351\n52554 78775\n6277 9394\n5763 8632\n9303 13959\n19648 29377\n33154 49568\n89441 100000\n64575 96854\n90933 100000\n84198 100000\n10164 15247\n68328 100000\n68965 100000\n41267 61763\n10274 15420\n33850 50584\n6376 9545\n98903 100000\n11683 17518\n75275 100000\n89351 100000\n79697 100000\n20316 30381\n83920 100000\n4939 7422\n10573 15867\n9769 14659\n95213 100000\n36785 54988\n72302 100000\n85759 100000\n94790 100000\n58733 88090\n17392 26021\n41552 62181\n32560 48686\n77104 100000\n48390 72462\n79918 100000\n31292 46787\n5059 7597\n17748 26548\n28418 42459\n91455 100000\n71860 100000\n49731 74509\n63988 95976\n51111 76576\n25139 37556\n18015 26966\n32196 48150\n62666 93998\n35757 53455\n61624 92440\n84834 100000\n5830 8728\n24372 36436\n84136 100000\n95545 100000\n44194 66140\n24749 36986\n97543 100000\n16967 25379\n72351 100000\n29292 43761\n51467 77116\n25492 38090\n42667 63844\n79828 100000\n32008 47866\n4612 6937\n19682 29427\n48858 73167\n69160 100000\n39336 58881\n45120 67523\n1514 2297\n18438 27590\n87629 100000\n65461 98191\n16044 24025\n71482 100000\n69042 100000\n82252 100000\n98955 100000\n77324 100000\n40652 60840\n23906 35752\n61169 91762\n47416 71011\n25120 37529\n59800 89692\n93706 100000\n26674 39862\n90906 100000\n40070 59968\n69312 100000\n85718 100000\n72466 100000\n75364 100000\n47829 71627\n68105 100000\n51902 77780\n58439 87656\n10676 16016\n24080 36014\n90342 100000\n57861 86783\n64048 96063\n36188 54102\n98057 100000\n78570 100000\n51055 76490\n31296 46793\n61623 92438\n98606 100000\n90222 100000\n66459 99711\n17698 26474\n60483 90733\n55447 83120\n43141 64548\n63316 94976\n92771 100000\n94050 100000\n63375 95066\n16601 24836\n21892 32724\n967 1473\n92177 100000\n7698 11525\n53381 80005\n1965 2956\n58823 88221\n53067 79531\n25448 38024\n51506 77176\n90593 100000\n94041 100000\n43394 64927\n93837 100000\n69923 100000\n92373 100000\n83168 100000\n98230 100000\n95796 100000\n1657 2511\n6511 9731\n95635 100000\n42906 64201\n78679 100000\n9364 14049\n39698 59418\n30326 45329\n24598 36766\n94433 100000\n96295 100000\n32343 48366\n44544 66662\n62879 94322\n32003 47856\n50665 75903\n53144 79648\n24477 36585\n10018 15027\n55686 83482\n72961 100000\n38657 57846\n49625 74350\n12035 18055\n75295 100000\n26123 39040\n13379 20052\n28375 42400\n56162 84194\n42966 64288\n69015 100000\n88774 100000\n49123 73578\n54254 81330\n64671 96997\n90313 100000\n88002 100000\n26024 38888\n48343 72395\n21709 32457\n3024 4558\n37242 55689\n53752 80576\n38936 58266\n1746 2630\n81384 100000\n72625 100000\n75237 100000\n58398 87598\n21757 32531\n16640 24891\n49154 73626\n62606 93916\n77051 100000\n25323 37833\n88582 100000\n82221 100000\n68860 100000\n65740 98613\n42552 63666\n48925 73271\n58195 87278\n78867 100000\n91562 100000\n83190 100000\n27130 40544\n83165 100000\n94932 100000\n22850 34162\n24615 36794\n55863 83742\n10543 15817\n90539 100000\n8612 12891\n5717 8566\n64961 97427\n99776 100000\n93451 100000\n99363 100000\n68676 100000\n61945 92930\n77730 100000\n80019 100000\n28502 42574\n61373 92077\n75440 100000\n3419 5149\n95648 100000\n67447 100000\n81229 100000\n26240 39219\n73849 100000\n95799 100000\n99572 100000\n58749 88114\n53302 79879\n65531 98297\n57040 85513\n88108 100000\n3779 5681\n30488 45574\n94250 100000\n45499 68100\n10570 15863\n14569 21818\n75378 100000\n98782 100000\n59757 89628\n67642 100000\n38052 56914\n19471 29114\n22220 33204\n42313 63315\n88821 100000\n45712 68422\n95912 100000\n17318 25915\n52262 78329\n18290 27367\n69916 100000\n9430 14147\n75018 100000\n26711 39917\n17035 25481\n93260 100000\n26840 40105\n61281 91942\n20219 30236\n60681 91023\n55097 82612\n73977 100000\n19635 29356\n3139 4735\n30409 45454\n61628 92446\n20547 30731\n9423 14134\n70742 100000\n30860 46135\n22914 34258\n45262 67743\n40357 60395\n78114 100000\n26113 39025\n84171 100000\n56090 84083\n97594 100000\n6849 10245\n29788 44516\n84105 100000\n28724 42915\n8964 13441\n92665 100000\n49206 73708\n68476 100000\n37396 55917\n80926 100000\n20187 30186\n47111 70535\n95385 100000\n86627 100000\n55517 83220\n42536 63639\n67595 100000\n66501 99774\n86973 100000\n92824 100000\n63012 94522\n69105 100000\n4992 7502\n30235 45189\n28194 42135\n89087 100000\n51232 76757\n3806 5726\n13937 20872\n67003 100000\n48701 72934\n55669 83453\n36981 55289\n51092 76551\n86878 100000\n71638 100000\n9119 13681\n34647 51801\n35634 53270\n323 482\n66511 99791\n11122 16671\n20515 30689\n72398 100000\n58912 88351\n60653 90981\n13918 20843\n93976 100000\n63994 95984\n30277 45256\n49797 74608\n34951 52251\n66761 100000\n51302 76865\n11008 16508\n15051 22531\n93919 100000\n88345 100000\n49104 73545\n25888 38679\n48973 73342\n98871 100000\n49366 73956\n41344 61885\n59295 88921\n865 1319\n32593 48735\n86389 100000\n33790 50497\n38540 57662\n30062 44930\n90173 100000\n24279 36305\n8445 12640\n79392 100000\n85728 100000\n33323 49816\n98781 100000\n22427 33519\n79591 100000\n16442 24603\n48387 72457\n41114 61537\n52375 78501\n48126 72075\n9527 14284\n17247 25806\n75658 100000\n59107 88634\n59395 89076\n59371 89037\n6472 9675\n45854 68637\n4873 7328\n53653 80429\n36991 55304\n20785 31077\n82430 100000\n32267 48252\n29718 44413\n32081 47974\n86228 100000\n27224 40674\n17554 26261\n232 351\n51411 77036\n74287 100000\n57278 85890\n31487 47079\n36104 53982\n83304 100000\n95277 100000\n12132 18201\n40603 60770\n69276 100000\n83884 100000\n18713 27994\n12012 18015\n5564 8344\n13273 19889\n99293 100000\n63605 95401\n82344 100000\n76942 100000\n66802 100000\n25576 38206\n10453 15679\n59326 88967\n48314 72352\n47857 71672\n40095 60005\n39211 58685\n4536 6820\n12158 18235\n18498 27676\n17493 26172\n8502 12729\n86687 100000\n68563 100000\n63204 94804\n72073 100000\n53798 80639\n75453 100000\n58064 87089\n97886 100000\n57119 85635\n77681 100000\n55649 83423\n35648 53292\n35404 52927\n85864 100000\n99493 100000\n4754 7149\n28091 41975\n27346 40857\n89492 100000\n31044 46416\n96844 100000\n45564 68199\n60502 90758\n74492 100000\n35926 53706\n71543 100000\n21343 31904\n90220 100000\n16358 24484\n95660 100000\n14328 21464\n47397 70979\n41976 62796\n96632 100000\n40326 60347\n11374 17055\n35099 52466\n8104 12134\n52167 78181\n9693 14538\n55050 82542\n10735 16106\n48134 72088\n86516 100000\n45963 68805\n71815 100000\n35061 52413\n59871 89798\n15987 23938\n59916 89868\n87550 100000\n80966 100000\n58104 87150\n70120 100000\n66245 99380\n93568 100000\n82609 100000\n61142 91716\n77374 100000\n42672 63851\n35994 53807\n97190 100000\n49084 73513\n37250 55700\n98522 100000\n16441 24602\n43890 65687\n29213 43646\n51426 77058\n62065 93116\n8184 12253\n99054 100000\n26957 40283\n83810 100000\n30834 46098\n87192 100000\n65343 98011\n1478 2240\n50301 75363\n49608 74327\n49619 74341\n68767 100000\n72665 100000\n70600 100000\n41366 61916\n44615 66772\n31407 46958\n70303 100000\n4191 6310\n37239 55685\n68026 100000\n4328 6506\n6855 10254\n14252 21352\n67019 100000\n59878 89809\n3454 5202\n2240 3378\n39127 58548\n81270 100000\n87829 100000\n81653 100000\n51249 76782\n72819 100000\n91631 100000\n78277 100000\n48917 73256\n49569 74266\n39874 59684\n37791 56514\n36399 54432\n52171 78187\n92059 100000\n50906 76263\n67512 100000\n35729 53414\n69268 100000\n18490 27665\n35880 53634\n31648 47333\n61806 92715\n91012 100000\n20136 30113\n95473 100000\n73962 100000\n9108 13666\n45153 67572\n24342 36398\n59907 89852\n56588 84828\n94550 100000\n77937 100000\n78522 100000\n89831 100000\n60180 90272\n90303 100000\n8597 12868\n82156 100000\n91643 100000\n76563 100000\n98893 100000\n23563 35233\n35899 53663\n58413 87623\n57115 85629\n90050 100000\n3932 5931\n32858 49124\n86709 100000\n75042 100000\n24640 36828\n67088 100000\n83039 100000\n78350 100000\n26372 39421\n96001 100000\n37360 55863\n8807 13200\n60269 90406\n37845 56598\n20336 30413\n82400 100000\n53667 80451\n81058 100000\n54653 81934\n83299 100000\n93660 100000\n25957 38783\n24728 36956\n53866 80739\n44193 66139\n81613 100000\n91580 100000\n10834 16243\n65656 98487\n65245 97866\n33121 49522\n86245 100000\n31119 46529\n62853 94284\n50673 75914\n54214 81268\n39709 59436\n83965 100000\n11373 17053\n36768 54960\n14038 21025\n61509 92275\n50179 75174\n90066 100000\n14770 22108\n72173 100000\n97162 100000\n29882 44662\n53303 79881\n55625 83389\n81471 100000\n8359 12513\n45579 68221\n60691 91038\n48055 71964\n97423 100000\n60420 90630\n24575 36729\n17105 25584\n69282 100000\n57332 85969\n96654 100000\n76867 100000\n75587 100000\n82276 100000\n27515 41109\n46122 69040\n12257 18385\n527 802\n17641 26393\n33777 50475\n71120 100000\n606 922\n83432 100000\n16823 25158\n2494 3761\n58339 87506\n10869 16297\n77430 100000\n32818 49071\n26580 39729\n50674 75916\n13878 20783\n22798 34088\n14149 21192\n45366 67897\n28783 43005\n78127 100000\n69315 100000\n68311 100000\n55324 82939\n26190 39144\n70087 100000\n87930 100000\n42659 63830\n7130 10665\n58881 88306\n10536 15806\n42450 63517\n79920 100000\n43132 64536\n84372 100000\n61615 92426\n80337 100000\n52343 78452\n9886 14828\n11764 17638\n46929 70262\n13437 20137\n28560 42659\n76530 100000\n77456 100000\n96055 100000\n4218 6350\n35302 52774\n91788 100000\n47987 71868\n20373 30467\n36610 54737\n31752 47482\n62273 93437\n87927 100000\n57326 85961\n40676 60877\n55224 82794\n20124 30095\n5178 7777\n19603 29305\n45086 67470\n26735 39953\n92832 100000\n18099 27086\n42872 64145\n58206 87297\n86944 100000\n30255 45219\n74714 100000\n58581 87864\n71722 100000\n41985 62809\n27271 40745\n4342 6526\n19502 29154\n3752 5641\n49959 74843\n25236 37701\n20138 30116\n71435 100000\n35655 53301\n27255 40722\n83240 100000\n88562 100000\n79909 100000\n10610 15920\n3334 5016\n38620 57789\n37475 56034\n66101 99163\n53855 80722\n47075 70477\n90254 100000\n34338 51325\n95894 100000\n37107 55488\n20030 29945\n83519 100000\n21367 31939\n27553 41164\n11167 16736\n88612 100000\n33296 49773\n27747 41456\n99272 100000\n5025 7550\n48796 73073\n20525 30703\n38224 57179\n33841 50570\n32691 48876\n55299 82905\n56714 85015\n96794 100000\n60708 91065\n90474 100000\n10454 15681\n38362 57387\n45009 67352\n41816 62563\n50601 75814\n2873 4330\n51487 77147\n85993 100000\n96809 100000\n38191 57127\n6958 10402\n53112 79600\n72559 100000\n78122 100000\n93395 100000\n29568 44168\n30254 45217\n37994 56820\n86356 100000\n11793 17685\n72803 100000\n39342 58890\n265 400\n2152 3244\n30206 45148\n77560 100000\n60473 90719\n86184 100000\n57597 86378\n39970 59819\n95753 100000\n40173 60124\n36980 55287\n88569 100000\n59790 89678\n10874 16304\n50068 75004\n12952 19413\n47803 71589\n30923 46230\n3298 4966\n5177 7775\n25780 38513\n27329 40835\n79075 100000\n32550 48671\n77275 100000\n26912 40215\n99027 100000\n16136 24163\n30821 46079\n14675 21966\n34304 51275\n76783 100000\n10966 16445\n83174 100000\n78435 100000\n62171 93280\n4839 7281\n26223 39193\n96123 100000\n26433 39512\n77297 100000\n72724 100000\n3210 4841\n49822 74644\n13636 20428\n51484 77143\n15490 23192\n2268 3420\n26039 38912\n82770 100000\n54727 82047\n57759 86628\n62199 93323\n28829 43078\n81916 100000\n93265 100000\n92294 100000\n79315 100000\n55717 83527\n34858 52110\n16706 24991\n89112 100000\n36140 54033\n94892 100000\n17765 26576\n24313 36355\n85857 100000\n59778 89658\n5205 7819\n56308 84410\n69123 100000\n67799 100000\n22373 33435\n80967 100000\n53119 79612\n41772 62497\n16550 24762\n40493 60603\n15498 23205\n39744 59488\n13039 19544\n38559 57694\n27129 40542\n95742 100000\n3465 5221\n46974 70327\n85397 100000\n2197 3314\n57612 86400\n33026 49377\n77264 100000\n87926 100000\n51533 77217\n54131 81147\n51857 77718\n65586 98375\n59338 88985\n21803 32598\n29064 43426\n37033 55372\n93460 100000\n47506 71141\n22528 33675\n66421 99656\n8 13\n65667 98501\n70333 100000\n26641 39817\n83769 100000\n3662 5500\n4317 6487\n93196 100000\n42162 63086\n54005 80951\n33530 50116\n60514 90775\n81747 100000\n27607 41251\n19770 29555\n67810 100000\n64570 96844\n21974 32845\n26243 39224\n49641 74372\n26337 39372\n15917 23832\n60823 91238\n56381 84523\n27513 41105\n64198 96288\n6129 9178\n56371 84508\n44362 66393\n32274 48261\n11611 17408\n90541 100000\n42640 63801\n48783 73052\n18558 27763\n70589 100000\n71404 100000\n28394 42423\n22059 32971\n65774 98665\n87896 100000\n44725 66930\n53114 79603\n93869 100000\n97996 100000\n14660 21943\n71889 100000\n69749 100000\n67252 100000\n17931 26837\n69549 100000\n45732 68450\n56675 84960\n21000 31395\n2290 3454\n57204 85773\n89200 100000\n4371 6570\n79258 100000\n88792 100000\n16734 25033\n74460 100000\n14144 21184\n61139 91712\n52205 78237\n84502 100000\n63094 94641\n9449 14176\n16714 25002\n76286 100000\n16983 25403\n55681 83475\n89354 100000\n23032 34436\n57692 86521\n43915 65726\n97936 100000\n64489 96714\n63832 95737\n99394 100000\n40767 61014\n36861 55108\n25166 37596\n2825 4259\n17036 25483\n60359 90541\n79562 100000\n5497 8240\n48188 72164\n62274 93438\n67958 100000\n80990 100000\n93501 100000\n56728 85038\n24899 37209\n98587 100000\n56582 84821\n30840 46106\n29231 43673\n68238 100000\n66806 100000\n51069 76512\n3277 4940\n83389 100000\n19674 29415\n89819 100000\n91396 100000\n33031 49384\n67006 100000\n96207 100000\n68047 100000\n33195 49628\n52509 78702\n23611 35306\n40660 60852\n80333 100000\n40433 60512\n32534 48646\n43729 65436\n54248 81320\n7534 11286\n27757 41470\n38695 57904\n2594 3909\n92877 100000\n2833 4271\n35298 52768\n58518 87775\n71653 100000\n58792 88176\n16011 23978\n36362 54371\n9881 14819\n24726 36954\n59883 89816\n73032 100000\n1938 2915\n78067 100000\n9330 14000\n41416 61985\n14835 22209\n93092 100000\n33977 50778\n56781 85116\n4945 7430\n99544 100000\n76846 100000\n49728 74505\n11884 17820\n71739 100000\n28584 42695\n26990 40333\n13439 20140\n1908 2873\n8483 12698\n73370 100000\n88354 100000\n44589 66734\n79473 100000\n22946 34306\n73613 100000\n73583 100000\n91285 100000\n96291 100000\n51244 76775\n90883 100000\n22273 33283\n90656 100000\n68347 100000\n2281 3440\n95646 100000\n43551 65165\n47786 71565\n81228 100000\n82745 100000\n31515 47126\n34089 50951\n62542 93818\n16639 24889\n3651 5485\n87270 100000\n54706 82014\n19862 29693\n50525 75700\n86517 100000\n38373 57404\n53160 79670\n42047 62907\n15966 23906\n37392 55910\n33203 49640\n76734 100000\n68890 100000\n63248 94872\n69618 100000\n8771 13143\n77046 100000\n24736 36967\n78684 100000\n53970 80897\n75387 100000\n93268 100000\n78761 100000\n98399 100000\n24710 36931\n52760 79080\n68978 100000\n77449 100000\n668 1020\n27135 40552\n81166 100000\n42712 63909\n80360 100000\n65320 97975\n77840 100000\n57227 85810\n38588 57739\n61801 92708\n64336 96493\n42039 62895\n11527 17283\n61159 91745\n88909 100000\n31216 46670\n98495 100000\n56096 84091\n54241 81310\n27320 40821\n80486 100000\n93480 100000\n2173 3274\n41990 62815\n51807 77644\n91638 100000\n90760 100000\n46684 69901\n43628 65289\n75502 100000\n37852 56608\n87326 100000\n16085 24089\n23567 35240\n15407 23067\n4953 7440\n43608 65259\n6782 10145\n11637 17447\n6982 10443\n27929 41732\n61488 92242\n57919 86872\n17512 26200\n62629 93947\n83297 100000\n56556 84783\n63137 94704\n53527 80231\n19936 29802\n14810 22167\n68018 100000\n78738 100000\n53805 80649\n24479 36587\n87501 100000\n41279 61786\n71288 100000\n79007 100000\n23947 35816\n67137 100000\n46841 70138\n33992 50801\n75659 100000\n45965 68808\n78919 100000\n16739 25040\n37079 55447\n8160 12218\n31457 47034\n99846 100000\n1335 2025\n55410 83064\n55653 83427\n19008 28425\n27013 40368\n72220 100000\n56019 83975\n79577 100000\n11331 16989\n93453 100000\n99078 100000\n76307 100000\n83132 100000\n33872 50617\n89175 100000\n42516 63612\n50956 76342\n43079 64454\n32496 48588\n38050 56911\n96084 100000\n95046 100000\n28444 42497\n55147 82686\n83108 100000\n89639 100000\n8855 13272\n4896 7361\n13769 20621\n68256 100000\n21852 32669\n43595 65238\n11025 16531\n70305 100000\n10628 15945\n43448 65010\n9251 13884\n28817 43058\n88296 100000\n87141 100000\n53678 80466\n2788 4205\n1574 2385\n72128 100000\n5876 8793\n31543 47166\n40415 60488\n59186 88756\n67908 100000\n74308 100000\n56699 84992\n31343 46861\n29464 44011\n9128 13697\n46403 69471\n61045 91564\n16970 25384\n6204 9284\n14399 21565\n36152 54049\n5894 8820\n63883 95813\n66225 99350\n95638 100000\n9468 14205\n89491 100000\n86290 100000\n64876 97303\n99218 100000\n12381 18569\n85390 100000\n28614 42745\n41678 62369\n45758 68491\n47345 70894\n54366 81499\n95990 100000\n3955 5959\n57925 86881\n10369 15558\n19144 28629\n77380 100000\n42470 63545\n87970 100000\n5723 8574\n64499 96733\n14718 22035\n41317 61842\n91953 100000\n94283 100000\n99155 100000\n11891 17831\n93253 100000\n3092 4663\n82826 100000\n85795 100000\n31555 47185\n38677 57875\n44520 66629\n54885 82285\n9710 14565\n9758 14641\n39568 59221\n82141 100000\n57860 86782\n18639 27879\n89566 100000\n1303 1979\n66530 99823\n88229 100000\n84390 100000\n69953 100000\n70835 100000\n702 1065\n21973 32843\n39310 58837\n25353 37878\n45476 68067\n3581 5384\n42049 62910\n16953 25357\n64875 97301\n19170 28664\n76709 100000\n63254 94880\n49435 74062\n71433 100000\n80565 100000\n99959 100000\n707 1073\n45646 68319\n42544 63651\n81272 100000\n79464 100000\n59154 88708\n98317 100000\n9127 13696\n23996 35889\n61750 92633\n60162 90244\n55996 83942\n13108 19643\n44531 66645\n6580 9836\n18631 27867\n93249 100000\n6152 9211\n63664 95493\n93354 100000\n44111 66015\n34412 51434\n33229 49678\n33310 49796\n18338 27438\n7174 10734\n30349 45361\n36402 54437\n82499 100000\n18222 27267\n88778 100000\n49302 73854\n80406 100000\n3125 4714\n51572 77274\n25732 38443\n74113 100000\n54620 81879\n72447 100000\n71872 100000\n6652 9952\n63007 94514\n86575 100000\n19789 29579\n94909 100000\n77996 100000\n6722 10056\n74430 100000\n52975 79400\n79197 100000\n14163 21217\n84120 100000\n36455 54509\n77842 100000\n64207 96300\n48293 72322\n15588 23340\n62873 94312\n21454 32073\n8020 12006\n68789 100000\n36006 53822\n8527 12764\n49495 74151\n59687 89520\n88588 100000\n60512 90771\n91089 100000\n74114 100000\n30053 44917\n12254 18379\n33574 50188\n42402 63450\n21768 32545\n76011 100000\n59208 88791\n45960 68800\n3276 4939\n11126 16677\n21682 32412\n25221 37677\n41911 62703\n84006 100000\n50373 75470\n1850 2783\n82658 100000\n99865 100000\n76317 100000\n29620 44250\n33378 49895\n81692 100000\n60155 90234\n56987 85430\n6601 9872\n66615 99953\n80639 100000\n89265 100000\n67106 100000\n18341 27442\n51024 76443\n55776 83619\n42408 63458\n35714 53395\n88420 100000\n74083 100000\n39936 59771\n23728 35480\n70501 100000\n38859 58142\n10207 15312\n96190 100000\n33667 50318\n62300 93474\n73054 100000\n60752 91131\n75906 100000\n25727 38435\n35003 52328\n14594 21852\n96434 100000\n47410 71001\n15396 23048\n13167 19730\n89215 100000\n24091 36029\n99981 100000\n89789 100000\n82542 100000\n57145 85679\n22720 33975\n57391 86055\n90367 100000\n22097 33028\n41397 61960\n917 1397\n24939 37266\n36810 55029\n34114 50987\n91831 100000\n8867 13289\n1853 2788\n82291 100000\n31850 47621\n79276 100000\n29519 44095\n12414 18615\n75637 100000\n77876 100000\n73107 100000\n10428 15646\n54161 81192\n61456 92193\n6626 9913\n51264 76807\n24125 36079\n47942 71798\n64953 97418\n2137 3222\n98901 100000\n89644 100000\n91777 100000\n41046 61434\n56607 84861\n36236 54171\n78193 100000\n66712 100000\n54086 81082\n18281 27353\n64816 97211\n88017 100000\n95760 100000\n90684 100000\n17364 25980\n33791 50498\n91274 100000\n27796 41531\n70713 100000\n52026 77969\n42182 63114\n90545 100000\n3758 5650\n845 1284\n14608 21871\n53213 79747\n71939 100000\n83592 100000\n52651 78914\n52720 79021\n18255 27315\n95594 100000\n55243 82823\n72624 100000\n58498 87743\n24536 36670\n12802 19190\n26965 40297\n92914 100000\n40542 60677\n83694 100000\n31796 47544\n95956 100000\n78992 100000\n31771 47508\n94696 100000\n13744 20581\n61698 92555\n75793 100000\n82362 100000\n33254 49717\n36407 54442\n42508 63599\n66953 100000\n13776 20632\n77371 100000\n85074 100000\n66012 99023\n94337 100000\n81373 100000\n2972 4478\n59729 89584\n11061 16583\n60919 91379\n42892 64180\n93180 100000\n51619 77349\n89299 100000\n35338 52828\n5195 7804\n25664 38338\n6176 9242\n38569 57710\n59454 89172\n54339 81453\n68957 100000\n56021 83978\n17585 26305\n45288 67780\n23346 34911\n12475 18703\n80820 100000\n27380 40908\n81696 100000\n78095 100000\n36290 54256\n71067 100000\n24613 36790\n72113 100000\n41292 61806\n9727 14591\n61869 92814\n37273 55736\n59596 89388\n25062 37441\n32535 48648\n84312 100000\n84394 100000\n91731 100000\n26087 38984\n59410 89100\n4017 6055\n91870 100000\n20868 31195\n11172 16743\n24668 36868\n95203 100000\n93405 100000\n20592 30797\n65891 98836\n1809 2721\n97299 100000\n82464 100000\n95528 100000\n45694 68395\n94503 100000\n28304 42297\n17131 25626\n47437 71041\n51890 77764\n36213 54140\n26270 39271\n81985 100000\n54990 82451\n38146 57058\n96266 100000\n96184 100000\n35923 53703\n61519 92290\n12101 18158\n74417 100000\n68584 100000\n20759 31038\n17605 26337\n25671 38349\n54779 82125\n66352 99544\n63255 94881\n59854 89771\n67689 100000\n31951 47776\n93440 100000\n8169 12231\n24624 36807\n49821 74642\n11879 17812\n88446 100000\n40854 61144\n84521 100000\n5191 7799\n36571 54680\n53132 79631\n86341 100000\n37256 55710\n25903 38701\n90557 100000\n34022 50846\n86839 100000\n61001 91494\n37470 56026\n57120 85637\n26890 40180\n33964 50758\n61559 92349\n9462 14196\n75182 100000\n93021 100000\n36393 54421\n52195 78220\n9892 14836\n82236 100000\n75063 100000\n18626 27861\n86965 100000\n30942 46257\n58171 87240\n58371 87555\n69726 100000\n47620 71310\n9914 14872\n69025 100000\n91456 100000\n18611 27839\n1285 1951\n42396 63443\n88992 100000\n40728 60952\n84396 100000\n63358 95042\n6575 9826\n36166 54070\n61126 91689\n62176 93289\n3506 5279\n74226 100000\n45786 68533\n19800 29595\n37146 55547\n20728 30993\n7524 11272\n93529 100000\n44763 66987\n50239 75267\n76752 100000\n195 294\n57193 85757\n19048 28478\n80879 100000\n46716 69948\n31231 46695\n70514 100000\n69754 100000\n13781 20640\n98813 100000\n1353 2055\n27730 41429\n31709 47424\n48147 72107\n22926 34278\n48738 72989\n86399 100000\n36931 55213\n38529 57646\n51889 77763\n77597 100000\n40748 60982\n77158 100000\n69399 100000\n87929 100000\n97385 100000\n40573 60724\n90999 100000\n71024 100000\n89292 100000\n17686 26458\n76771 100000\n82783 100000\n72769 100000\n40888 61194\n52993 79421\n79045 100000\n21213 31716\n38180 57109\n3810 5732\n34912 52192\n46283 69285\n63416 95125\n66489 99757\n89133 100000\n14130 21161\n70815 100000\n53549 80264\n95722 100000\n47554 71218\n64711 97058\n14039 21026\n3196 4821\n94661 100000\n76599 100000\n99085 100000\n93497 100000\n84539 100000\n46007 68873\n81560 100000\n65644 98470\n70884 100000\n25195 37641\n95542 100000\n66141 99225\n16013 23981\n31681 47386\n88860 100000\n37182 55599\n75053 100000\n18701 27976\n67849 100000\n82336 100000\n6081 9106\n91090 100000\n24947 37275\n96944 100000\n31716 47435\n83385 100000\n60674 91013\n4356 6549\n65619 98430\n80877 100000\n34233 51169\n53864 80736\n49129 73586\n58432 87646\n63895 95833\n35550 53141\n19143 28627\n95867 100000\n99157 100000\n1067 1633\n15788 23642\n66497 99767\n71622 100000\n44997 67334\n1193 1817\n58601 87895\n58545 87814\n72760 100000\n25055 37428\n70001 100000\n40060 59953\n84598 100000\n41154 61594\n68304 100000\n24012 35914\n54188 81234\n78664 100000\n24408 36485\n14537 21775\n37122 55507\n56452 84629\n17871 26739\n45026 67380\n89769 100000\n83490 100000\n8312 12442\n97017 100000\n64222 96324\n37248 55698\n33838 50564\n40216 60188\n4253 6399\n45735 68456\n99388 100000\n61734 92606\n79736 100000\n43312 64805\n53874 80752\n16877 25246\n28227 42186\n42857 64122\n89454 100000\n16651 24908\n60152 90229\n99857 100000\n41856 62622\n92261 100000\n99529 100000\n20500 30667\n47474 71094\n81937 100000\n5328 7994\n77224 100000\n67959 100000\n13068 19585\n92171 100000\n54759 82096\n64775 97149\n47315 70845\n45455 68035\n32407 48459\n487 735\n98178 100000\n36970 55271\n22570 33741\n41470 62061\n40041 59923\n3477 5238\n93728 100000\n18288 27364\n62196 93319\n64413 96598\n92715 100000\n61366 92068\n47710 71447\n10419 15631\n83059 100000\n48391 72463\n37356 55858\n71792 100000\n55291 82894\n42888 64173\n78559 100000\n20926 31279\n75830 100000\n15138 22657\n54839 82215\n95377 100000\n2283 3443\n42579 63706\n57900 86842\n46121 69039\n66965 100000\n70935 100000\n90717 100000\n6013 9004\n65541 98313\n72316 100000\n77383 100000\n48581 72754\n21181 31669\n71719 100000\n60622 90936\n11217 16817\n75493 100000\n44526 66638\n63820 95719\n20698 30951\n7018 10496\n64293 96426\n37441 55984\n70353 100000\n71021 100000\n19921 29780\n32272 48258\n42193 63130\n95540 100000\n2541 3831\n37372 55882\n59386 89061\n91304 100000\n45902 68711\n87966 100000\n38339 57350\n33204 49642\n65582 98369\n67197 100000\n99955 100000\n34806 52038\n44107 66011\n4742 7131\n22494 33623\n29163 43571\n53421 80066\n56191 84238\n768 1170\n7423 11111\n16915 25303\n10646 15973\n34763 51976\n12939 19395\n41696 62389\n2459 3712\n81941 100000\n8996 13495\n11332 16990\n19095 28551\n9176 13771\n59453 89171\n65643 98469\n11343 17006\n9238 13865\n86397 100000\n80061 100000\n9903 14852\n39646 59339\n92636 100000\n20137 30115\n51112 76577\n63893 95831\n52199 78226\n63382 95075\n87353 100000\n50188 75186\n76311 100000\n10790 16186\n94768 100000\n15293 22898\n68057 100000\n89498 100000\n34575 51696\n7821 11706\n64292 96424\n8130 12173\n15187 22735\n56859 85236\n73304 100000\n85850 100000\n99454 100000\n45621 68284\n34742 51945\n60101 90152\n80629 100000\n24906 37217\n54678 81971\n96512 100000\n43466 65034\n95572 100000\n78501 100000\n92026 100000\n94945 100000\n45573 68212\n83334 100000\n25348 37869\n26120 39036\n95269 100000\n4128 6212\n56458 84639\n16518 24715\n76223 100000\n62574 93867\n34865 52120\n14082 21087\n8644 12944\n71786 100000\n13884 20793\n33600 50226\n61184 91785\n93744 100000\n13192 19768\n10286 15440\n58984 88456\n17666 26431\n5941 8890\n79955 100000\n55204 82765\n51694 77459\n56044 84015\n67816 100000\n95075 100000\n88440 100000\n76553 100000\n16375 24507\n91175 100000\n64034 96042\n5050 7584\n70504 100000\n35932 53718\n21679 32407\n44355 66384\n58961 88424\n73025 100000\n73130 100000\n76769 100000\n67905 100000\n46396 69460\n27838 41596\n47986 71866\n35008 52334\n56178 84219\n17068 25533\n6037 9038\n91110 100000\n66865 100000\n92405 100000\n61865 92808\n64645 96959\n80401 100000\n59380 89051\n42126 63025\n88056 100000\n5768 8639\n36349 54351\n17154 25661\n65735 98605\n65941 98913\n2211 3337\n39493 59106\n64013 96010\n44445 66513\n69395 100000\n85682 100000\n11102 16642\n74235 100000\n34118 50993\n64249 96364\n48410 72493\n9482 14225\n12515 18764\n38815 58081\n6719 10052\n81146 100000\n37857 56616\n67192 100000\n40254 60238\n33354 49859\n35047 52393\n35318 52799\n3225 4861\n25640 38297\n1231 1874\n84844 100000\n34212 51138\n45320 67829\n686 1042\n63769 95646\n19420 29041\n40855 61146\n43866 65648\n64408 96592\n24339 36394\n32521 48624\n8118 12154\n70148 100000\n8070 12084\n17814 26645\n8735 13089\n46322 69343\n6686 10001\n72887 100000\n13496 20220\n49646 74379\n85068 100000\n67354 100000\n73949 100000\n32705 48896\n92575 100000\n19344 28922\n18764 28069\n9786 14680\n73987 100000\n79280 100000\n20232 30258\n49519 74188\n28495 42565\n26118 39034\n33958 50749\n95828 100000\n44885 67162\n17022 25461\n41671 62358\n13946 20885\n2323 3505\n82950 100000\n66917 100000\n83158 100000\n49505 74165\n10678 16019\n23249 34768\n35537 53123\n61078 91617\n48076 71994\n49049 73459\n87169 100000\n12431 18642\n15592 23348\n14218 21301\n73989 100000\n39495 59109\n27530 41131\n66748 100000\n57732 86587\n32468 48544\n70982 100000\n35462 53014\n93936 100000\n42814 64058\n49296 73844\n71241 100000\n94803 100000\n37456 56006\n16571 24791\n38426 57486\n35924 53704\n77752 100000\n6890 10304\n18331 27426\n87897 100000\n92498 100000\n82687 100000\n19846 29669\n55247 82830\n58688 88024\n76138 100000\n21219 31724\n90121 100000\n11442 17156\n7936 11885\n73971 100000\n40768 61015\n99723 100000\n27010 40364\n46412 69483\n41122 61549\n23734 35488\n98534 100000\n57262 85865\n70247 100000\n68737 100000\n74877 100000\n66002 99008\n88917 100000\n46558 69710\n1613 2443\n99294 100000\n48185 72160\n15084 22579\n21890 32721\n29182 43600\n52616 78865\n393 592\n76705 100000\n73740 100000\n1832 2757\n86981 100000\n23955 35826\n34645 51798\n60917 91377\n32611 48760\n86513 100000\n15170 22709\n83784 100000\n24519 36643\n54133 81150\n51456 77100\n38407 57457\n47377 70946\n45242 67712\n63838 95745\n13699 20516\n2417 3648\n69885 100000\n24610 36785\n62264 93421\n13790 20652\n13593 20367\n77893 100000\n95561 100000\n69033 100000\n77135 100000\n95211 100000\n25985 38827\n2864 4317\n19203 28716\n83051 100000\n26554 39692\n67822 100000\n80521 100000\n31686 47395\n43597 65242\n68439 100000\n63087 94630\n46610 69787\n11655 17478\n42315 63318\n77321 100000\n86124 100000\n79946 100000\n39583 59244\n29847 44606\n21061 31493\n82364 100000\n43065 64429\n16815 25148\n89497 100000\n10008 15009\n36277 54236\n32108 48013\n32623 48778\n28966 43284\n67398 100000\n10448 15673\n30324 45325\n87438 100000\n83344 100000\n47399 70982\n49888 74742\n98167 100000\n90019 100000\n99765 100000\n54242 81312\n76243 100000\n89638 100000\n92057 100000\n94427 100000\n88622 100000\n61982 92986\n9731 14597\n22259 33263\n34870 52128\n36056 53902\n68694 100000\n46729 69965\n78314 100000\n77086 100000\n24591 36754\n68500 100000\n13023 19519\n8369 12528\n86897 100000\n96596 100000\n24541 36677\n92510 100000\n46593 69761\n58913 88353\n24819 37088\n7029 10511\n4713 7088\n30793 46035\n43288 64770\n84024 100000\n45608 68262\n23085 34520\n38532 57651\n36846 55086\n10717 16080\n5488 8226\n96942 100000\n94311 100000\n96874 100000\n19659 29392\n65652 98481\n97256 100000\n96456 100000\n25295 37789\n40821 61094\n73785 100000\n37374 55885\n39897 59715\n63721 95577\n7942 11894\n54529 81739\n92277 100000\n62827 94244\n35156 52552\n30823 46083\n55322 82936\n98176 100000\n18815 28145\n5262 7900\n89727 100000\n98097 100000\n96796 100000\n1177 1797\n29254 43709\n26204 39165\n64378 96553\n29082 43453\n90345 100000\n6222 9312\n14688 21989\n4173 6282\n94197 100000\n15547 23279\n20841 31157\n47950 71809\n99900 100000\n39364 58917\n55192 82750\n10854 16274\n38557 57690\n67156 100000\n94153 100000\n61958 92951\n74948 100000\n49631 74357\n35680 53341\n14567 21816\n41637 62307\n75609 100000\n76681 100000\n91359 100000\n81479 100000\n24310 36350\n44165 66094\n907 1382\n90972 100000\n80163 100000\n15769 23615\n13760 20607\n79393 100000\n16083 24087\n51689 77452\n87202 100000\n91252 100000\n84632 100000\n67539 100000\n99829 100000\n59387 89063\n93777 100000\n23829 35635\n68349 100000\n30047 44910\n7169 10727\n56636 84901\n36969 55270\n28548 42644\n69162 100000\n25660 38330\n64518 96763\n21090 31536\n14226 21312\n69879 100000\n33753 50441\n83613 100000\n79763 100000\n62501 93758\n93605 100000\n73460 100000\n48246 72254\n22364 33422\n97856 100000\n34719 51909\n85291 100000\n93398 100000\n22810 34105\n94326 100000\n30026 44879\n53095 79575\n85796 100000\n63357 95041\n38653 57840\n85654 100000\n50993 76396\n2633 3969\n8571 12826\n27121 40530\n41274 61777\n86179 100000\n1695 2561\n14426 21609\n41852 62615\n21074 31512\n93356 100000\n83447 100000\n28052 41916\n28059 41925\n58072 87102\n57870 86796\n6181 9251\n4037 6084\n33075 49451\n81169 100000\n21518 32173\n22700 33940\n84839 100000\n4091 6160\n96343 100000\n77910 100000\n51701 77471\n81735 100000\n30332 45338\n77179 100000\n79705 100000\n54106 81109\n41400 61965\n21578 32262\n19552 29230\n44820 67067\n35476 53033\n31958 47786\n83179 100000\n9515 14270\n87692 100000\n36526 54616\n12621 18921\n13128 19673\n84181 100000\n14259 21363\n127 192\n66057 99095\n18625 27860\n29201 43625\n10081 15126\n29826 44572\n66397 99616\n26950 40272\n90461 100000\n38680 57880\n6333 9481\n66994 100000\n60504 90760\n93836 100000\n95470 100000\n8375 12538\n62640 93964\n8779 13156\n19792 29583\n95710 100000\n24277 36302\n85987 100000\n24853 37136\n19478 29121\n14190 21259\n34339 51326\n27557 41170\n38019 56860\n46504 69630\n43776 65508\n43885 65679\n41786 62518\n21338 31897\n44260 66236\n18453 27614\n83486 100000\n94271 100000\n42545 63653\n28476 42538\n35114 52493\n86424 100000\n55483 83172\n96026 100000\n70081 100000\n23639 35344\n57999 86992\n44265 66244\n93316 100000\n41802 62543\n80093 100000\n38833 58107\n33995 50805\n88211 100000\n16958 25365\n3433 5167\n49690 74445\n7132 10668\n34073 50925\n21505 32151\n6729 10067\n62650 93976\n9426 14139\n79490 100000\n8167 12228\n38417 57470\n98506 100000\n44279 66263\n23653 35366\n99527 100000\n29674 44343\n94524 100000\n34473 51534\n32933 49237\n43691 65381\n46966 70318\n93413 100000\n26174 39118\n91581 100000\n29370 43871\n89371 100000\n17038 25486\n62324 93511\n49815 74632\n90417 100000\n20661 30896\n29468 44015\n71775 100000\n66243 99377\n81522 100000\n50920 76286\n52863 79230\n98693 100000\n76234 100000\n85924 100000\n2145 3234\n98737 100000\n73818 100000\n73232 100000\n11237 16847\n55397 83048\n9859 14788\n36734 54913\n33822 50542\n47638 71339\n53249 79800\n47062 70457\n53260 79814\n21636 32347\n33496 50068\n18497 27674\n92453 100000\n16880 25250\n7843 11740\n35158 52556\n10600 15906\n75215 100000\n62320 93505\n79999 100000\n20294 30351\n89466 100000\n47558 71224\n93794 100000\n6925 10356\n2126 3205\n56386 84532\n12558 18826\n47125 70559\n95992 100000\n13924 20853\n60872 91309\n28610 42737\n36464 54523\n48856 73164\n37986 56810\n58214 87309\n43062 64423\n84757 100000\n37212 55647\n42272 63250\n43606 65256\n3764 5658\n44876 67148\n2996 4515\n42816 64061\n72224 100000\n77270 100000\n18277 27347\n3094 4665\n32260 48242\n59221 88811\n73467 100000\n30050 44913\n52393 78529\n85904 100000\n29603 44222\n44470 66551\n54879 82275\n60281 90426\n25436 38006\n24570 36722\n21770 32547\n94166 100000\n55915 83822\n8338 12481\n31366 46898\n42898 64190\n34793 52019\n7302 10930\n17926 26828\n82646 100000\n52877 79248\n52755 79071\n48053 71961\n89367 100000\n40134 60062\n44029 65892\n9532 14292\n29016 43358\n60806 91211\n29435 43967\n20441 30575\n99661 100000\n49021 73414\n11283 16917\n95599 100000\n42314 63316\n37554 56146\n83176 100000\n92366 100000\n80339 100000\n57187 85749\n90427 100000\n4938 7421\n20033 29950\n28856 43120\n45107 67500\n82879 100000\n78194 100000\n21426 32028\n73298 100000\n27046 40415\n64235 96343\n84430 100000\n19353 28933\n46918 70248\n78699 100000\n664 1015\n37861 56621\n48229 72227\n87637 100000\n85168 100000\n74436 100000\n91658 100000\n67037 100000\n65361 98036\n19389 28991\n71822 100000\n2437 3678\n30782 46021\n69587 100000\n34622 51765\n15142 22665\n36120 54005\n65678 98516\n43857 65633\n57761 86631\n98379 100000\n84519 100000\n67062 100000\n84321 100000\n31846 47616\n25259 37737\n52858 79222\n8347 12494\n90719 100000\n37013 55341\n31257 46735\n56092 84085\n46466 69572\n64441 96638\n47283 70796\n69780 100000\n2486 3751\n25063 37442\n23145 34608\n48424 72511\n2556 3852\n65833 98751\n87581 100000\n5654 8476\n95445 100000\n81012 100000\n30548 45660\n25052 37423\n55744 83573\n27534 41138\n97610 100000\n71069 100000\n78317 100000\n95023 100000\n35005 52330\n96731 100000\n52494 78678\n47288 70803\n40816 61086\n27238 40695\n18245 27300\n84193 100000\n6927 10360\n27177 40609\n36134 54026\n96754 100000\n15158 22689\n82153 100000\n24286 36313\n97085 100000\n97469 100000\n70687 100000\n65823 98735\n15354 22986\n14138 21174\n70045 100000\n57662 86473\n33470 50033\n62894 94349\n77212 100000\n50231 75255\n55962 83894\n18820 28152\n37755 56459\n30183 45110\n2207 3330\n351 527\n90383 100000\n35627 53259\n96801 100000\n32049 47927\n62180 93296\n56520 84732\n28235 42200\n77838 100000\n24511 36633\n68463 100000\n52895 79273\n4136 6225\n15868 23759\n95301 100000\n24191 36176\n24887 37189\n95248 100000\n35208 52630\n96482 100000\n98136 100000\n74723 100000\n9090 13638\n47481 71103\n99804 100000\n99948 100000\n37335 55826\n42847 64106\n49491 74144\n24153 36122\n94831 100000\n27820 41566\n38878 58172\n96769 100000\n99197 100000\n9715 14572\n20641 30868\n13747 20586\n25271 37758\n1553 2351\n77183 100000\n24559 36706\n77053 100000\n21659 32382\n11521 17274\n37583 56195\n7920 11857\n34488 51556\n86045 100000\n16929 25323\n79031 100000\n18941 28332\n90612 100000\n90377 100000\n89007 100000\n24941 37268\n74178 100000\n11607 17401\n7364 11025\n71498 100000\n63911 95854\n63103 94654\n35035 52374\n8534 12774\n12665 18988\n20621 30838\n20741 31011\n7848 11747\n89450 100000\n15056 22541\n60547 90826\n73835 100000\n90602 100000\n84196 100000\n32139 48061\n19850 29674\n27335 40842\n60227 90342\n58877 88301\n55983 83925\n91802 100000\n25841 38609\n33186 49618\n75162 100000\n15308 22922\n71564 100000\n46643 69838\n80262 100000\n6997 10467\n40145 60080\n71410 100000\n62512 93773\n67178 100000\n84941 100000\n55958 83888\n70443 100000\n57967 86943\n87069 100000\n66162 99257\n52814 79159\n22229 33218\n82555 100000\n56811 85162\n16724 25018\n76684 100000\n55183 82737\n90418 100000\n60702 91055\n8636 12930\n79293 100000\n54641 81914\n69713 100000\n43042 64394\n49303 73856\n90540 100000\n3698 5560\n5822 8716\n5836 8737\n60360 90543\n40414 60487\n43998 65847\n12787 19169\n72137 100000\n66146 99231\n24762 37003\n36796 55005\n49640 74371\n94573 100000\n16449 24612\n63415 95123\n99696 100000\n4725 7108\n38733 57959\n38641 57822\n74638 100000\n49426 74048\n95348 100000\n21542 32210\n46352 69391\n19000 28416\n48105 72042\n96593 100000\n46977 70331\n56420 84584\n30490 45576\n65341 98008\n34775 51992\n36625 54755\n22065 32980\n57952 86920\n62252 93403\n96292 100000\n94715 100000\n93347 100000\n73503 100000\n44739 66951\n70924 100000\n95991 100000\n44176 66112\n44288 66280\n91711 100000\n36210 54136\n50693 75941\n41151 61590\n93759 100000\n64028 96031\n8199 12277\n78428 100000\n65133 97690\n81540 100000\n5174 7770\n74341 100000\n48524 72664\n93873 100000\n75595 100000\n37435 55976\n99756 100000\n96181 100000\n42378 63416\n74146 100000\n38879 58174\n12642 18951\n91833 100000\n56105 84104\n67206 100000\n81996 100000\n6304 9435\n59136 88680\n63077 94615\n97551 100000\n25845 38616\n48103 72040\n64865 97286\n86008 100000\n91251 100000\n32470 48547\n45520 68132\n81103 100000\n29375 43879\n87943 100000\n89422 100000\n95872 100000\n87711 100000\n98407 100000\n91442 100000\n23469 35102\n24914 37229\n50981 76378\n93462 100000\n38187 57122\n78701 100000\n86986 100000\n14332 21469\n61328 92013\n80043 100000\n169 254\n98619 100000\n50265 75305\n32200 48157\n65156 97725\n17413 26055\n29341 43828\n35808 53533\n92810 100000\n44518 66626\n86689 100000\n13041 19548\n64555 96821\n15486 23185\n41914 62709\n80860 100000\n63990 95978\n70176 100000\n14663 21948\n66249 99386\n69128 100000\n24359 36421\n14700 22007\n20310 30372\n63566 95342\n9526 14283\n10933 16398\n99406 100000\n2010 3024\n73029 100000\n15177 22721\n50007 74916\n43443 65003\n731 1112\n66477 99739\n48554 72711\n6172 9237\n63091 94637\n35754 53451\n79427 100000\n80586 100000\n87833 100000\n46833 70125\n18284 27359\n73921 100000\n7725 11564\n56962 85393\n36915 55187\n20622 30840\n6151 9210\n65370 98052\n53959 80883\n14486 21695\n11252 16870\n35891 53651\n71701 100000\n66149 99236\n32861 49129\n59279 88894\n9806 14711\n13875 20779\n24201 36193\n85609 100000\n84581 100000\n27364 40884\n12317 18474\n10618 15930\n40722 60941\n7243 10842\n24849 37131\n41412 61980\n95842 100000\n89627 100000\n21690 32427\n67709 100000\n99708 100000\n52421 78568\n13223 19813\n54429 81591\n53620 80375\n28962 43278\n80978 100000\n1929 2903\n31545 47170\n13395 20074\n45835 68610\n90047 100000\n14450 21646\n36639 54777\n34530 51625\n97427 100000\n34707 51892\n4486 6743\n23463 35094\n13042 19550\n94966 100000\n17043 25496\n67619 100000\n36109 53990\n25706 38403\n41548 62175\n41961 62776\n21021 31430\n80703 100000\n225 339\n55286 82887\n25261 37741\n46356 69397\n89217 100000\n42812 64054\n40344 60376\n95496 100000\n94801 100000\n97694 100000\n94430 100000\n28897 43182\n13755 20600\n45082 67464\n35327 52814\n74128 100000\n56240 84302\n45688 68384\n2093 3158\n1411 2139\n56330 84447\n47551 71214\n20451 30589\n69112 100000\n78108 100000\n29334 43818\n86799 100000\n1426 2161\n91889 100000\n34767 51981\n99607 100000\n3721 5596\n86413 100000\n50819 76130\n78079 100000\n32917 49216\n16768 25081\n45361 67889\n30988 46328\n9765 14653\n29893 44681\n37723 56414\n74861 100000\n8320 12454\n59908 89854\n43645 65314\n85490 100000\n6723 10058\n57850 86768\n48173 72144\n73002 100000\n79615 100000\n43075 64446\n70277 100000\n29850 44611\n68473 100000\n32517 48618\n58389 87582\n27169 40599\n74105 100000\n46701 69924\n35709 53387\n20595 30801\n70515 100000\n79164 100000\n25558 38182\n15435 23112\n17701 26478\n51475 77127\n13140 19691\n27032 40396\n41006 61374\n45490 68086\n70718 100000\n36356 54361\n67131 100000\n69177 100000\n6835 10226\n61814 92729\n60110 90166\n43579 65210\n21445 32060\n42533 63634\n61990 92999\n81580 100000\n18555 27758\n73559 100000\n32284 48277\n36338 54333\n93003 100000\n93154 100000\n18862 28213\n48113 72054\n83309 100000\n70656 100000\n50310 75374\n78704 100000\n18401 27535\n93742 100000\n84635 100000\n65398 98093\n80871 100000\n74132 100000\n93114 100000\n48774 73041\n63097 94645\n53788 80624\n53597 80339\n42442 63505\n83459 100000\n29170 43581\n73000 100000\n81249 100000\n26519 39642\n62914 94379\n52116 78110\n16004 23967\n42938 64246\n81913 100000\n69098 100000\n38826 58096\n73087 100000\n64466 96674\n95940 100000\n12363 18541\n26016 38875\n71301 100000\n90009 100000\n64525 96774\n80089 100000\n42732 63940\n56789 85127\n8151 12206\n4569 6869\n24593 36758\n98824 100000\n10599 15904\n63426 95141\n6126 9174\n11746 17610\n50508 75677\n53082 79556\n88124 100000\n6118 9163\n23207 34701\n79105 100000\n73252 100000\n76365 100000\n48621 72818\n35336 52825\n92568 100000\n60459 90696\n82155 100000\n2238 3375\n29420 43945\n38544 57668\n3762 5656\n35045 52389\n10613 15923\n65319 97973\n44723 66927\n72181 100000\n25553 38174\n71074 100000\n27715 41404\n26705 39908\n18204 27239\n71900 100000\n92521 100000\n41224 61702\n30370 45396\n71796 100000\n79699 100000\n11366 17041\n42173 63101\n14446 21639\n46981 70337\n55525 83233\n82969 100000\n30226 45174\n58891 88321\n53960 80884\n12054 18084\n98459 100000\n76875 100000\n42646 63812\n71107 100000\n72983 100000\n95815 100000\n66318 99495\n7863 11770\n98185 100000\n64122 96175\n99649 100000\n3652 5486\n9035 13553\n1729 2607\n10995 16486\n36968 55269\n63586 95371\n70132 100000\n6783 10146\n67038 100000\n28919 43212\n12367 18546\n14225 21311\n22434 33531\n60715 91075\n64851 97265\n68553 100000\n60874 91312\n36465 54524\n57270 85877\n75017 100000\n94297 100000\n90634 100000\n94784 100000\n37939 56739\n12626 18929\n15097 22598\n62797 94196\n99722 100000\n81304 100000\n42907 64202\n42171 63098\n36067 53922\n53033 79478\n40023 59895\n83040 100000\n68849 100000\n39439 59027\n36564 54670\n83499 100000\n34413 51435\n75927 100000\n51196 76700\n41435 62012\n19553 29231\n86481 100000\n70791 100000\n75158 100000\n41014 61388\n791 1201\n2085 3144\n71251 100000\n6093 9126\n1744 2627\n3993 6021\n67380 100000\n78019 100000\n4012 6049\n3615 5433\n59814 89715\n1508 2288\n63565 95341\n10125 15186\n46625 69809\n85836 100000\n62298 93470\n44567 66695\n14274 21386\n81878 100000\n17744 26541\n53245 79793\n70711 100000\n40599 60764\n46511 69641\n77426 100000\n40286 60281\n58131 87186\n2213 3339\n13716 20541\n90923 100000\n22048 32954\n79467 100000\n87150 100000\n80631 100000\n84244 100000\n37385 55900\n90785 100000\n78354 100000\n27617 41267\n87311 100000\n80998 100000\n48811 73098\n25885 38675\n31280 46769\n1320 2002\n10147 15220\n21784 32569\n41218 61694\n59089 88608\n88728 100000\n51820 77662\n96445 100000\n89602 100000\n39560 59209\n13609 20389\n43808 65559\n85647 100000\n14161 21213\n50752 76028\n37795 56520\n31021 46380\n74665 100000\n13685 20495\n92074 100000\n40743 60974\n6067 9084\n26104 39010\n40310 60322\n60656 90985\n98790 100000\n46541 69684\n46810 70089\n33985 50790\n99556 100000\n56114 84119\n53233 79777\n86524 100000\n72090 100000\n25537 38153\n54302 81397\n69538 100000\n85611 100000\n60239 90364\n13662 20464\n80090 100000\n79698 100000\n24019 35925\n17461 26124\n59459 89179\n63941 95903\n1736 2615\n95944 100000\n63395 95092\n1584 2401\n78361 100000\n20902 31243\n89180 100000\n33318 49808\n13485 20204\n28924 43218\n54674 81964\n69207 100000\n37269 55731\n13633 20423\n7621 11407\n90029 100000\n84812 100000\n2681 4042\n83120 100000\n53393 80022\n33474 50039\n5886 8808\n27248 40712\n93526 100000\n41342 61883\n22421 33508\n28269 42245\n59088 88606\n49357 73942\n42371 63405\n6983 10444\n84019 100000\n71089 100000\n44616 66773\n73934 100000\n97989 100000\n555 841\n78561 100000\n85098 100000\n19190 28693\n32379 48419\n21117 31572\n47890 71722\n55587 83332\n70911 100000\n63592 95379\n98705 100000\n44746 66961\n32288 48283\n38847 58127\n77007 100000\n53060 79520\n58685 88019\n80379 100000\n29129 43520\n52201 78230\n15456 23140\n31012 46366\n56095 84090\n24746 36982\n75642 100000\n49171 73651\n29768 44487\n59452 89169\n946 1443\n42043 62900\n1767 2659\n42683 63864\n38839 58115\n93896 100000\n60526 90795\n79440 100000\n29673 44341\n16504 24689\n9222 13843\n59988 89984\n93144 100000\n72737 100000\n94977 100000\n20644 30872\n69534 100000\n26662 39844\n81787 100000\n50256 75292\n95820 100000\n73235 100000\n54479 81665\n65363 98039\n12313 18469\n441 665\n55908 83813\n77704 100000\n96709 100000\n23053 34471\n85945 100000\n24740 36974\n44643 66813\n8441 12635\n30298 45287\n26543 39675\n60971 91452\n6314 9452\n94795 100000\n52608 78853\n5032 7560\n62638 93962\n14062 21057\n52028 77972\n66025 99043\n36766 54957\n61376 92082\n59451 89167\n40836 61116\n94637 100000\n42312 63314\n92068 100000\n87732 100000\n10521 15784\n37849 56603\n91754 100000\n64622 96927\n47858 71674\n83196 100000\n59145 88696\n72310 100000\n78954 100000\n65694 98543\n74223 100000\n35374 52880\n35283 52744\n2783 4198\n54396 81540\n85169 100000\n10285 15438\n48563 72725\n88315 100000\n11486 17224\n6332 9480\n12301 18451\n24375 36441\n6245 9345\n32107 48012\n91826 100000\n571 866\n32975 49299\n51797 77629\n14261 21366\n29581 44188\n97956 100000\n7191 10760\n17255 25819\n77064 100000\n83894 100000\n41065 61463\n73057 100000\n58629 87934\n97342 100000\n55535 83248\n48499 72625\n20094 30045\n34081 50939\n28407 42441\n79825 100000\n66273 99428\n77682 100000\n39835 59624\n18802 28128\n55388 83034\n75644 100000\n73207 100000\n36614 54743\n57899 86841\n92748 100000\n9113 13673\n33415 49946\n48371 72434\n6606 9880\n83475 100000\n3384 5095\n21146 31613\n97605 100000\n52327 78429\n77417 100000\n86491 100000\n96458 100000\n82742 100000\n32418 48473\n23788 35573\n12275 18412\n95048 100000\n28178 42110\n48979 73351\n28118 42013\n2793 4212\n17486 26161\n84471 100000\n39907 59732\n18419 27563\n43624 65283\n19860 29690\n67937 100000\n11454 17176\n33750 50438\n73616 100000\n68232 100000\n97273 100000\n42167 63093\n65584 98372\n86891 100000\n34810 52043\n92587 100000\n56471 84660\n45104 67497\n51154 76637\n59997 89997\n44511 66616\n83219 100000\n21546 32216\n77580 100000\n88935 100000\n91694 100000\n99725 100000\n72693 100000\n68040 100000\n50346 75432\n74838 100000\n62958 94440\n33084 49468\n41622 62283\n47230 70714\n88740 100000\n63179 94768\n18225 27271\n87729 100000\n9401 14100\n7657 11462\n60687 91031\n11175 16748\n6498 9712\n93323 100000\n60100 90150\n85279 100000\n23387 34970\n83087 100000\n89146 100000\n77880 100000\n636 970\n63861 95779\n313 469\n27001 40349\n73327 100000\n41721 62425\n56337 84456\n37970 56784\n89857 100000\n71078 100000\n29791 44520\n16399 24543\n85351 100000\n93602 100000\n32832 49088\n83808 100000\n42587 63719\n80455 100000\n76488 100000\n1973 2968\n73496 100000\n86567 100000\n21854 32672\n72874 100000\n45823 68589\n76551 100000\n62103 93177\n32336 48357\n5084 7636\n81517 100000\n33104 49497\n90113 100000\n80196 100000\n48414 72498\n54781 82128\n46100 69012\n66948 100000\n59962 89942\n95432 100000\n15763 23606\n77071 100000\n5510 8260\n16582 24806\n79710 100000\n91482 100000\n20875 31204\n29066 43428\n9045 13569\n89805 100000\n77029 100000\n54649 81927\n60346 90523\n42146 63060\n48585 72761\n72315 100000\n32906 49199\n39510 59132\n26964 40295\n33544 50139\n63332 95001\n3007 4533\n56039 84006\n10 15\n77906 100000\n834 1264\n62354 93554\n80737 100000\n99612 100000\n80948 100000\n3010 4536\n54269 81352\n50240 75268\n40999 61365\n54160 81190\n41654 62332\n83712 100000\n18809 28137\n32675 48856\n69940 100000\n66903 100000\n92909 100000\n74606 100000\n61200 91809\n74883 100000\n2124 3202\n5440 8157\n73039 100000\n62140 93234\n81113 100000\n80142 100000\n36527 54617\n84938 100000\n80927 100000\n58886 88312\n31096 46496\n86054 100000\n87086 100000\n54090 81086\n28400 42431\n32716 48914\n64427 96619\n76316 100000\n43894 65693\n51290 76843\n50221 75240\n21383 31963\n10271 15415\n75890 100000\n51739 77530\n28808 43043\n6703 10027\n78576 100000\n47063 70459\n36946 55237\n81874 100000\n81592 100000\n51654 77398\n396 596\n28324 42330\n25886 38676\n28701 42886\n41237 61721\n98308 100000\n82738 100000\n82886 100000\n47742 71497\n71509 100000\n3171 4778\n81024 100000\n86162 100000\n61442 92173\n56378 84518\n7081 10591\n24826 37098\n24072 36004\n22156 33115\n65606 98410\n40781 61036\n71688 100000\n29497 44060\n18708 27987\n18929 28314\n98056 100000\n76334 100000\n95931 100000\n38664 57856\n83546 100000\n58916 88358\n11203 16796\n15259 22846\n95518 100000\n43836 65603\n99166 100000\n91874 100000\n69274 100000\n43937 65761\n4533 6817\n53257 79811\n84821 100000\n63584 95368\n74277 100000\n71259 100000\n28228 42188\n88436 100000\n6278 9396\n92214 100000\n9317 13981\n63846 95754\n28413 42451\n37369 55878\n34773 51990\n53282 79846\n26111 39021\n88404 100000\n83185 100000\n50093 75043\n58555 87829\n83648 100000\n27379 40906\n91971 100000\n80288 100000\n81470 100000\n18739 28032\n36814 55033\n46171 69116\n59008 88493\n25207 37657\n22860 34178\n31227 46688\n28981 43304\n52952 79362\n83029 100000\n10978 16465\n30646 45808\n63343 95019\n59676 89509\n10821 16229\n51973 77889\n10876 16307\n49501 74159\n95336 100000\n31865 47645\n95727 100000\n99855 100000\n82131 100000\n46390 69450\n35575 53180\n96601 100000\n46774 70030\n68797 100000\n28858 43123\n72177 100000\n49186 73676\n79609 100000\n39009 58376\n15266 22857\n99763 100000\n84802 100000\n3528 5311\n18502 27683\n61933 92913\n76157 100000\n20498 30664\n39888 59703\n42713 63910\n62480 93726\n15517 23234\n436 658\n93102 100000\n58719 88072\n73442 100000\n71855 100000\n12013 18017\n26291 39301\n50862 76196\n41144 61581\n35584 53193\n49249 73779\n21568 32246\n47245 70739\n57441 86136\n96250 100000\n79486 100000\n91108 100000\n50211 75225\n36077 53938\n29432 43963\n72527 100000\n30529 45632\n3532 5316\n58177 87248\n15972 23916\n44855 67121\n85523 100000\n89020 100000\n66100 99161\n18808 28135\n39881 59693\n41078 61483\n48073 71990\n71172 100000\n3505 5278\n87294 100000\n96350 100000\n57596 86376\n80769 100000\n38200 57141\n71963 100000\n66261 99407\n84841 100000\n32455 48527\n39486 59095\n64305 96444\n74034 100000\n66135 99217\n99968 100000\n50914 76276\n32446 48514\n4117 6197\n12168 18247\n53729 80541\n93220 100000\n35428 52964\n54184 81230\n35398 52917\n40251 60233\n93555 100000\n9233 13859\n35558 53155\n79544 100000\n37011 55337\n47078 70481\n5070 7614\n18909 28285\n88677 100000\n34175 51080\n74598 100000\n52908 79292\n88287 100000\n5842 8744\n12783 19164\n36050 53893\n56911 85312\n29086 43459\n3301 4969\n87804 100000\n73521 100000\n89443 100000\n56651 84925\n53513 80211\n90519 100000\n39651 59346\n75048 100000\n35565 53164\n35330 52819\n27991 41822\n57496 86220\n83947 100000\n35523 53102\n68481 100000\n39763 59514\n85773 100000\n12624 18925\n96455 100000\n98198 100000\n71702 100000\n43684 65370\n84064 100000\n16713 25001\n40481 60585\n70927 100000\n69150 100000\n27477 41048\n65312 97963\n46711 69940\n8417 12597\n8551 12801\n13986 20948\n58045 87058\n34884 52150\n259 391\n32941 49252\n55911 83816\n40666 60862\n77227 100000\n92897 100000\n83357 100000\n51610 77336\n57412 86090\n18344 27447\n50001 74907\n64601 96896\n18283 27357\n70267 100000\n99088 100000\n73113 100000\n21968 32836\n86987 100000\n79089 100000\n9080 13623\n35435 52974\n50884 76228\n33498 50071\n53154 79663\n23170 34643\n29575 44178\n15579 23327\n53013 79450\n92888 100000\n83422 100000\n92655 100000\n51036 76462\n38912 58225\n72421 100000\n17625 26369\n56978 85414\n95996 100000\n49233 73751\n39370 58925\n76285 100000\n95305 100000\n3614 5432\n37630 56264\n89984 100000\n59301 88930\n55219 82786\n63320 94982\n67953 100000\n32431 48491\n25104 37506\n3668 5512\n36179 54088\n33754 50442\n38002 56833\n94777 100000\n5958 8919\n70534 100000\n93666 100000\n21351 31917\n3915 5901\n82151 100000\n83523 100000\n96576 100000\n61494 92252\n97238 100000\n20992 31380\n88596 100000\n73657 100000\n12617 18917\n86681 100000\n18168 27185\n38016 56854\n79061 100000\n69066 100000\n82 125\n69589 100000\n4161 6265\n99039 100000\n43719 65421\n87082 100000\n73350 100000\n36074 53934\n44497 66593\n27117 40524\n33480 50048\n13635 20426\n50934 76309\n63943 95907\n40848 61135\n78154 100000\n14970 22411\n66763 100000\n81744 100000\n21326 31880\n91095 100000\n28664 42824\n62663 93994\n54107 81111\n76531 100000\n29206 43634\n42214 63159\n86666 100000\n21669 32395\n58083 87116\n15562 23305\n24099 36042\n73097 100000\n62847 94274\n36098 53972\n65965 98952\n56832 85189\n66889 100000\n3220 4854\n4615 6940\n35700 53372\n99072 100000\n58737 88095\n48568 72732\n11525 17280\n88119 100000\n77075 100000\n6087 9116\n81390 100000\n10935 16402\n53961 80885\n42206 63145\n22374 33436\n65669 98504\n75533 100000\n95703 100000\n12422 18628\n85196 100000\n72288 100000\n39347 58895\n56555 84782\n22781 34064\n36795 55003\n94421 100000\n38632 57809\n2726 4109\n72667 100000\n41028 61410\n15513 23228\n5228 7852\n89003 100000\n7315 10950\n49763 74556\n52493 78677\n80402 100000\n46920 70251\n9854 14782\n5215 7832\n73162 100000\n51809 77647\n95452 100000\n75034 100000\n80184 100000\n57401 86072\n90422 100000\n95919 100000\n79114 100000\n86890 100000\n27045 40414\n93619 100000\n68981 100000\n77254 100000\n31813 47570\n62598 93905\n14831 22204\n91729 100000\n73180 100000\n6772 10133\n40363 60406\n78767 100000\n31750 47479\n43319 64815\n90778 100000\n50527 75704\n95680 100000\n40448 60534\n80552 100000\n3616 5434\n29944 44758\n12380 18567\n56938 85359\n35792 53506\n24373 36438\n84139 100000\n57051 85531\n36185 54097\n74625 100000\n23342 34906\n29618 44246\n74343 100000\n10034 15053\n49424 74045\n16853 25206\n122 185\n29911 44705\n96324 100000\n38812 58076\n53812 80658\n62877 94318\n37666 56322\n3965 5976\n17424 26070\n12945 19403\n10044 15070\n23290 34824\n23769 35540\n71362 100000\n29652 44307\n27584 41213\n85606 100000\n91437 100000\n32293 48290\n82979 100000\n69691 100000\n17531 26225\n52516 78713\n58948 88403\n35018 52350\n94236 100000\n60886 91333\n1386 2101\n19355 28936\n4588 6898\n57109 85619\n79422 100000\n13761 20608\n90172 100000\n52066 78031\n61564 92357\n58312 87461\n9155 13734\n98733 100000\n55230 82803\n94028 100000\n63712 95564\n13833 20718\n78151 100000\n22484 33607\n40364 60407\n60402 90602\n38713 57931\n19749 29524\n98081 100000\n68723 100000\n6779 10141\n77027 100000\n33152 49565\n82417 100000\n70694 100000\n80758 100000\n22859 34177\n14014 20990\n15610 23377\n50621 75841\n38950 58285\n63879 95807\n30068 44939\n69180 100000\n31721 47441\n79778 100000\n32091 47988\n49075 73499\n65384 98072\n12001 17999\n11509 17258\n9815 14724\n68483 100000\n25799 38542\n4543 6833\n60604 90907\n83372 100000\n57447 86147\n93006 100000\n69367 100000\n35106 52480\n66555 99861\n37362 55866\n9544 14310\n48875 73191\n95870 100000\n23315 34864\n97588 100000\n58302 87445\n44174 66110\n38247 57215\n8148 12201\n56130 84143\n68843 100000\n42333 63345\n72623 100000\n87022 100000\n24035 35948\n74424 100000\n57154 85695\n94964 100000\n97447 100000\n9422 14132\n88003 100000\n89867 100000\n2554 3849\n33115 49512\n33391 49913\n44016 65872\n81943 100000\n87858 100000\n42768 63995\n50456 75596\n12385 18575\n81995 100000\n98518 100000\n92697 100000\n90880 100000\n58837 88240\n3710 5580\n49285 73830\n76076 100000\n17340 25945\n55413 83069\n92345 100000\n74111 100000\n76798 100000\n16562 24776\n76555 100000\n43736 65447\n83836 100000\n32072 47960\n88328 100000\n35173 52577\n46931 70264\n48388 72459\n53984 80920\n62753 94131\n31602 47255\n49420 74039\n55817 83675\n42549 63661\n65925 98891\n32822 49075\n64428 96620\n92825 100000\n86778 100000\n71562 100000\n44757 66978\n31088 46485\n14639 21913\n45365 67895\n54173 81212\n62536 93809\n36301 54273\n26485 39591\n59722 89576\n4331 6509\n42448 63515\n37830 56576\n16822 25157\n23792 35578\n72147 100000\n94118 100000\n42704 63897\n94499 100000\n66023 99039\n28182 42116\n21547 32217\n14861 22253\n30193 45127\n83854 100000\n5453 8176\n77397 100000\n39448 59040\n64852 97267\n72175 100000\n79545 100000\n40764 61009\n49312 73871\n14232 21319\n7997 11972\n90 138\n26828 40088\n24919 37234\n68616 100000\n72124 100000\n43671 65350\n18871 28229\n7591 11366\n58086 87122\n20893 31230\n69827 100000\n12678 19008\n16273 24364\n46094 69002\n33492 50063\n95699 100000\n35441 52982\n25874 38658\n76337 100000\n7154 10702\n81245 100000\n31975 47810\n85224 100000\n81989 100000\n53966 80892\n52442 78599\n62295 93466\n78591 100000\n85246 100000\n80855 100000\n78352 100000\n24333 36383\n20848 31168\n36603 54726\n92120 100000\n92380 100000\n57979 86962\n8869 13292\n93251 100000\n45168 67596\n35011 52338\n93297 100000\n3892 5861\n88851 100000\n82399 100000\n8195 12271\n51292 76847\n900 1373\n9970 14950\n27725 41422\n56339 84459\n82097 100000\n7391 11063\n37837 56587\n74936 100000\n88544 100000\n79611 100000\n33374 49888\n81501 100000\n97104 100000\n30514 45610\n11672 17504\n69259 100000\n52845 79202\n224 337\n74395 100000\n43430 64982\n21047 31470\n16221 24287\n61226 91849\n25390 37939\n1944 2924\n10635 15955\n98238 100000\n84253 100000\n12274 18410\n40231 60207\n84202 100000\n19886 29731\n25742 38456\n69884 100000\n3476 5236\n73640 100000\n9980 14968\n99150 100000\n46472 69580\n6810 10185\n99138 100000\n28891 43173\n78845 100000\n49473 74117\n84098 100000\n25792 38531\n22271 33280\n7977 11947\n32878 49153\n78046 100000\n99468 100000\n37015 55343\n68539 100000\n16363 24492\n57105 85612\n4853 7300\n85996 100000\n5435 8150\n57763 86635\n89974 100000\n92900 100000\n44045 65915\n49363 73951\n56802 85147\n23310 34857\n73960 100000\n35313 52790\n73790 100000\n76501 100000\n42841 64098\n96099 100000\n41127 61556\n51444 77083\n10217 15330\n10417 15628\n77922 100000\n44423 66479\n71894 100000\n69063 100000\n69085 100000\n71282 100000\n34098 50964\n20670 30908\n66812 100000\n29570 44171\n50578 75782\n94858 100000\n38793 58044\n14697 22004\n24693 36901\n12161 18238\n55042 82530\n17530 26224\n84189 100000\n89043 100000\n28575 42681\n72676 100000\n62238 93384\n28635 42778\n34 48\n10988 16478\n78944 100000\n25982 38822\n86702 100000\n37233 55677\n2335 3523\n98002 100000\n34904 52179\n63186 94777\n67196 100000\n55569 83302\n66901 100000\n44292 66286\n51927 77821\n6440 9632\n8930 13391\n78379 100000\n85013 100000\n21920 32767\n79574 100000\n94508 100000\n7853 11755\n83141 100000\n5360 8044\n63303 94956\n61598 92402\n1645 2492\n13828 20711\n2695 4061\n8115 12150\n67092 100000\n22869 34192\n84152 100000\n78653 100000\n62353 93553\n50024 74940\n47539 71195\n34907 52183\n82031 100000\n32729 48932\n42328 63338\n57058 85544\n98657 100000\n92060 100000\n37928 56723\n9210 13823\n89324 100000\n51347 76935\n13592 20366\n68395 100000\n63507 95251\n57272 85881\n54354 81476\n39636 59322\n55185 82740\n85269 100000\n69030 100000\n34309 51283\n66852 100000\n84116 100000\n4692 7056\n91263 100000\n11071 16598\n48781 73050\n23022 34421\n62571 93863\n93904 100000\n96622 100000\n43005 64341\n88127 100000\n21059 31489\n35143 52530\n21867 32689\n99045 100000\n40278 60270\n73205 100000\n69948 100000\n82885 100000\n60113 90172\n35386 52897\n35695 53366\n45846 68627\n34160 51058\n77559 100000\n92131 100000\n98368 100000\n54433 81597\n41423 61995\n56991 85435\n60760 91144\n4214 6344\n30790 46031\n12267 18398\n62968 94453\n41983 62807\n60372 90558\n76353 100000\n35909 53677\n28488 42554\n29952 44769\n42326 63336\n94222 100000\n22617 33813\n814 1236\n1644 2490\n7157 10707\n19151 28637\n9399 14096\n89256 100000\n58542 87810\n59140 88687\n718 1090\n9121 13684\n96976 100000\n48374 72437\n47300 70821\n46145 69075\n51793 77623\n41959 62774\n27968 41790\n31330 46843\n26857 40129\n29032 43381\n50533 75711\n82290 100000\n592 900\n68223 100000\n57610 86397\n12007 18008\n26882 40168\n97225 100000\n4134 6222\n26208 39172\n70842 100000\n81074 100000\n15616 23386\n46747 69990\n61059 91588\n93479 100000\n47968 71839\n16856 25212\n21404 31993\n43345 64851\n71700 100000\n69005 100000\n38102 56990\n25396 37949\n77494 100000\n23304 34848\n31909 47715\n93899 100000\n87928 100000\n23546 35211\n50183 75179\n66911 100000\n61382 92089\n38864 58151\n85856 100000\n27115 40521\n98803 100000\n82630 100000\n5945 8896\n53017 79455\n84636 100000\n15242 22816\n12592 18881\n26770 40002\n13678 20484\n12898 19336\n25703 38397\n57180 85738\n8576 12835\n17781 26599\n29947 44762\n59611 89412\n15991 23945\n84443 100000\n40713 60927\n35088 52452\n47668 71382\n55729 83550\n13626 20414\n91626 100000\n31693 47403\n68126 100000\n62545 93823\n46481 69594\n18230 27278\n37488 56053\n71213 100000\n75835 100000\n78971 100000\n89908 100000\n83405 100000\n59887 89821\n2314 3491\n2514 3791\n84576 100000\n13778 20635\n4798 7219\n67374 100000\n96741 100000\n14611 21875\n96264 100000\n25989 38833\n90970 100000\n52440 78596\n29897 44687\n67397 100000\n77323 100000\n96197 100000\n58003 86997\n71524 100000\n34249 51190\n49298 73847\n72669 100000\n29238 43685\n96768 100000\n73770 100000\n28186 42121\n67043 100000\n37873 56640\n88171 100000\n39280 58796\n7733 11574\n78525 100000\n1641 2484\n95140 100000\n98441 100000\n23892 35729\n67027 100000\n12663 18985\n99377 100000\n89750 100000\n95244 100000\n76937 100000\n74513 100000\n95506 100000\n45914 68731\n5260 7897\n3105 4683\n75606 100000\n40382 60436\n98254 100000\n58179 87251\n40195 60157\n76503 100000\n54863 82251\n95774 100000\n99173 100000\n5533 8292\n26334 39368\n90788 100000\n2822 4255\n26775 40010\n81959 100000\n89499 100000\n6531 9764\n71950 100000\n24129 36086\n71161 100000\n15957 23892\n78620 100000\n38168 57091\n24170 36143\n39263 58770\n90261 100000\n11959 17936\n15575 23322\n624 950\n45217 67670\n57811 86713\n29306 43777\n78806 100000\n37942 56744\n8223 12310\n34700 51881\n64344 96506\n15563 23307\n87087 100000\n58826 88225\n54462 81639\n88619 100000\n44744 66958\n47405 70993\n86940 100000\n48808 73093\n33823 50544\n5679 8509\n22772 34052\n46468 69575\n29637 44280\n3999 6031\n9709 14564\n82649 100000\n83239 100000\n95320 100000\n9635 14445\n36702 54860\n43129 64532\n88435 100000\n17002 25430\n19912 29768\n25939 38756\n76179 100000\n31712 47428\n58735 88093\n89259 100000\n27967 41789\n33003 49341\n58802 88190\n51435 77072\n5804 8689\n86382 100000\n55101 82619\n62060 93107\n13653 20452\n24645 36835\n49319 73881\n9254 13888\n93185 100000\n94600 100000\n74518 100000\n29716 44409\n35492 53059\n1675 2533\n66775 100000\n21015 31418\n56756 85078\n2469 3727\n78621 100000\n3708 5576\n97058 100000\n48112 72052\n71590 100000\n51588 77300\n48817 73106\n7426 11114\n56703 84998\n40556 60699\n88278 100000\n66191 99306\n1148 1755\n96861 100000\n45037 67397\n73277 100000\n99882 100000\n59188 88760\n36688 54842\n83960 100000\n49278 73822\n93534 100000\n49849 74683\n69261 100000\n99276 100000\n26267 39267\n10545 15821\n98508 100000\n71167 100000\n22956 34320\n98775 100000\n64619 96923\n23593 35278\n93663 100000\n49900 74761\n8004 11982\n3975 5990\n35817 53544\n81670 100000\n36366 54378\n44416 66470\n1768 2661\n44870 67139\n81530 100000\n18848 28190\n76786 100000\n12977 19455\n27611 41258\n68339 100000\n2201 3320\n25085 37475\n33729 50412\n24786 37040\n96529 100000\n60796 91196\n31055 46434\n76779 100000\n58155 87218\n73121 100000\n19621 29333\n77361 100000\n84174 100000\n37622 56252\n10473 15709\n79875 100000\n66992 100000\n5843 8746\n84454 100000\n42951 64265\n72622 100000\n40847 61133\n61747 92627\n18539 27735\n18026 26980\n1484 2249\n91872 100000\n31679 47383\n26630 39801\n59543 89307\n55666 83449\n22474 33592\n89911 100000\n32879 49155\n44549 66668\n27275 40750\n1984 2983\n29522 44099\n27699 41380\n32310 48317\n55840 83710\n42728 63933\n73923 100000\n69804 100000\n12879 19309\n14289 21409\n88878 100000\n73077 100000\n12155 18232\n36475 54538\n79296 100000\n90900 100000\n68512 100000\n45025 67378\n36675 54825\n11262 16884\n56485 84679\n4277 6431\n26387 39443\n5263 7901\n23283 34814\n22985 34362\n98376 100000\n78431 100000\n94356 100000\n1167 1785\n72004 100000\n70757 100000\n55407 83060\n80609 100000\n62021 93043\n11303 16948\n58571 87853\n82178 100000\n23755 35522\n53734 80548\n50613 75831\n61353 92050\n29669 44334\n5927 8869\n71381 100000\n70415 100000\n64492 96720\n43046 64400\n13336 19984\n56071 84055\n92032 100000\n35275 52733\n98641 100000\n9850 14778\n35629 53263\n93792 100000\n90378 100000\n51837 77689\n90798 100000\n48406 72486\n4165 6271\n90799 100000\n51101 76561\n19065 28505\n76343 100000\n4537 6822\n27181 40614\n94115 100000\n30399 45440\n72294 100000\n28072 41946\n73214 100000\n28818 43060\n85695 100000\n99860 100000\n87521 100000\n76682 100000\n74553 100000\n84337 100000\n17936 26845\n87728 100000\n29367 43866\n75667 100000\n76375 100000\n13370 20038\n59457 89177\n90578 100000\n22282 33296\n16879 25249\n12893 19329\n43981 65820\n98013 100000\n38296 57290\n48404 72482\n85793 100000\n48216 72207\n81998 100000\n84252 100000\n45777 68519\n12407 18604\n98213 100000\n79115 100000\n45882 68682\n49400 74008\n34257 51204\n38343 57356\n73652 100000\n99458 100000\n41617 62275\n76576 100000\n31027 46390\n12567 18840\n79208 100000\n91553 100000\n64589 96873\n49035 73438\n87873 100000\n63962 95938\n81370 100000\n24095 36035\n19783 29572\n3498 5268\n29707 44393\n30718 45922\n17479 26152\n38130 57032\n4344 6529\n95781 100000\n16014 23983\n19692 29441\n4156 6260\n22390 33460\n4967 7461\n54055 81033\n56697 84990\n48648 72856\n2900 4372\n788 1197\n37443 55986\n52236 78285\n71237 100000\n99914 100000\n49836 74663\n65158 97728\n73140 100000\n82448 100000\n52163 78175\n27726 41423\n14630 21902\n10398 15602\n63724 95583\n50672 75912\n46164 69105\n68621 100000\n92548 100000\n28425 42469\n98052 100000\n11226 16829\n45606 68260\n30686 45870\n48976 73347\n94262 100000\n13933 20867\n77956 100000\n47747 71505\n15512 23227\n4206 6332\n25823 38581\n32793 49031\n28804 43036\n25567 38194\n46524 69659\n62743 94115\n47323 70857\n83310 100000\n34352 51343\n4791 7211\n13415 20102\n88200 100000\n84332 100000\n16489 24666\n10786 16181\n65435 98149\n77092 100000\n37814 56551\n28633 42776\n59697 89537\n71145 100000\n83216 100000\n30913 46214\n13541 20291\n72510 100000\n94098 100000\n69416 100000\n88526 100000\n13513 20248\n28749 42952\n14224 21310\n59176 88742\n53493 80178\n75970 100000\n63467 95198\n52174 78190\n45877 68674\n31475 47062\n32004 47858\n6443 9636\n33895 50650\n67598 100000\n65119 97669\n31029 46393\n47013 70385\n90886 100000\n46020 68891\n28008 41851\n57949 86916\n36253 54197\n7463 11174\n25878 38665\n76104 100000\n86752 100000\n34351 51341\n83620 100000\n49299 73849\n49883 74735\n13356 20017\n66293 99459\n17828 26669\n50836 76154\n34785 52009\n98004 100000\n76685 100000\n99923 100000\n4483 6739\n43837 65604\n79004 100000\n77963 100000\n81327 100000\n59929 89887\n77257 100000\n83964 100000\n68000 100000\n35460 53011\n94200 100000\n97053 100000\n48600 72788\n98204 100000\n39147 58579\n3078 4642\n68426 100000\n45875 68671\n99350 100000\n473 715\n78756 100000\n36849 55091\n38440 57509\n38635 57814\n11326 16982\n24931 37254\n48277 72297\n67596 100000\n83722 100000\n36661 54809\n1510 2291\n46871 70178\n42948 64261\n80554 100000\n90031 100000\n37151 55553\n38799 58054\n10451 15677\n6424 9612\n73886 100000\n80515 100000\n16334 24453\n26573 39721\n89095 100000\n36197 54116\n48828 73122\n15898 23803\n63965 95943\n1949 2933\n98934 100000\n51841 77695\n83913 100000\n74230 100000\n26525 39649\n35540 53127\n1622 2456\n31511 47119\n96233 100000\n21150 31620\n11249 16866\n87570 100000\n87366 100000\n4227 6362\n79776 100000\n4223 6357\n41672 62360\n11251 16868\n18450 27609\n16566 24783\n73241 100000\n94113 100000\n24416 36496\n68830 100000\n59544 89309\n63881 95809\n78495 100000\n40557 60700\n16216 24281\n59020 88508\n45394 67941\n98456 100000\n68474 100000\n20807 31110\n72583 100000\n93169 100000\n74535 100000\n4512 6781\n8100 12127\n73051 100000\n80549 100000\n3216 4849\n25369 37905\n36916 55188\n87760 100000\n12540 18802\n80962 100000\n96129 100000\n91962 100000\n95806 100000\n43965 65795\n73856 100000\n13553 20310\n7484 11209\n52777 79107\n19613 29322\n98745 100000\n15470 23159\n63191 94786\n52443 78600\n52594 78833\n3529 5312\n20941 31302\n77786 100000\n786 1195\n58879 88304\n4255 6402\n20075 30018\n90944 100000\n70559 100000\n16510 24700\n80454 100000\n20356 30440\n48643 72847\n3556 5352\n11161 16726\n21334 31892\n54407 81558\n67061 100000\n71287 100000\n59941 89906\n35269 52724\n22096 33027\n55583 83325\n34869 52126\n85668 100000\n68309 100000\n1772 2666\n71770 100000\n20505 30675\n71425 100000\n36597 54717\n28199 42142\n82695 100000\n49332 73904\n63888 95822\n29061 43422\n42996 64327\n94553 100000\n37306 55782\n35250 52692\n58321 87477\n38658 57847\n22305 33332\n71551 100000\n22619 33817\n96882 100000\n83083 100000\n80775 100000\n67652 100000\n5516 8270\n85055 100000\n57148 85685\n30218 45165\n17730 26521\n47882 71709\n73631 100000\n29691 44369\n32700 48891\n90157 100000\n73249 100000\n82544 100000\n4886 7345\n36512 54594\n94821 100000\n55624 83388\n93369 100000\n27468 41037\n67746 100000\n19139 28622\n5329 7996\n22929 34281\n40727 60950\n78198 100000\n37277 55742\n58682 88015\n72636 100000\n63510 95256\n1900 2860\n59866 89790\n69439 100000\n91496 100000\n20369 30460\n45018 67368\n72916 100000\n57459 86167\n31732 47454\n94472 100000\n35346 52840\n18703 27980\n15116 22628\n38562 57699\n67606 100000\n48121 72066\n94179 100000\n91097 100000\n47149 70597\n91425 100000\n81442 100000\n2155 3247\n93566 100000\n79195 100000\n77178 100000\n31557 47188\n29901 44692\n51858 77720\n39012 58381\n21288 31822\n68167 100000\n70048 100000\n88417 100000\n17795 26618\n9519 14275\n59593 89384\n74528 100000\n29118 43504\n65483 98224\n76423 100000\n28423 42467\n65808 98715\n99449 100000\n39840 59630\n64483 96704\n44048 65919\n99731 100000\n89068 100000\n33654 50296\n97620 100000\n19820 29626\n30919 46223\n69855 100000\n69614 100000\n48320 72361\n44847 67108\n34436 51472\n33140 49551\n99937 100000\n44052 65926\n13713 20537\n98333 100000\n94300 100000\n67018 100000\n69047 100000\n80209 100000\n33989 50796\n1512 2294\n54460 81637\n78651 100000\n12975 19452\n51905 77784\n62792 94188\n330 494\n43183 64612\n11151 16711\n64790 97171\n4772 7179\n72172 100000\n75379 100000\n66736 100000\n14375 21530\n47495 71123\n78119 100000\n81205 100000\n42478 63557\n54912 82326\n59398 89081\n59511 89256\n21105 31557\n27262 40731\n72059 100000\n66668 100000\n94866 100000\n60650 90977\n57720 86567\n16723 25017\n12219 18330\n24143 36109\n40809 61076\n37934 56732\n88180 100000\n85883 100000\n42738 63952\n820 1246\n46552 69700\n68161 100000\n8564 12816\n97087 100000\n95383 100000\n88960 100000\n95306 100000\n52520 78718\n11669 17498\n80868 100000\n54510 81710\n36053 53897\n34580 51703\n33626 50259\n62330 93520\n83101 100000\n18552 27752\n31581 47221\n58269 87393\n92891 100000\n40791 61050\n968 1475\n97773 100000\n83322 100000\n15285 22886\n29529 44111\n70166 100000\n66598 99929\n47212 70689\n24669 36869\n19685 29430\n82785 100000\n26126 39044\n87484 100000\n64871 97294\n92830 100000\n43317 64812\n40464 60558\n71474 100000\n26679 39869\n24033 35945\n54765 82105\n83760 100000\n61388 92096\n63627 95436\n52333 78437\n6555 9798\n76208 100000\n94494 100000\n7575 11342\n58836 88238\n89227 100000\n2558 3854\n53605 80352\n49653 74387\n41323 61850\n44832 67084\n60505 90761\n71010 100000\n42302 63299\n41732 62443\n20035 29953\n79937 100000\n39857 59656\n91470 100000\n94528 100000\n3095 4667\n53209 79740\n89369 100000\n66365 99562\n65400 98096\n4123 6204\n36514 54596\n15531 23255\n851 1294\n59771 89649\n23074 34502\n62841 94266\n22102 33035\n9371 14056\n35999 53813\n94191 100000\n43178 64603\n76801 100000\n55691 83487\n40140 60071\n54211 81264\n61849 92784\n13377 20048\n44310 66313\n41661 62342\n59296 88922\n29991 44825\n88555 100000\n20313 30377\n52636 78894\n88150 100000\n82383 100000\n12731 19085\n96364 100000\n72530 100000\n76172 100000\n68547 100000\n72890 100000\n58349 87522\n16001 23961\n23193 34678\n59617 89421\n63562 95338\n27260 40728\n76048 100000\n4874 7330\n19588 29285\n63648 95469\n98870 100000\n51763 77567\n9559 14332\n19524 29184\n33650 50292\n7672 11485\n65639 98463\n31578 47218\n25520 38128\n79713 100000\n29073 43438\n34364 51363\n28567 42671\n66914 100000\n86990 100000\n77285 100000\n21137 31601\n70212 100000\n43498 65082\n16949 25352\n91125 100000\n16210 24272\n80081 100000\n95874 100000\n66744 100000\n29661 44320\n84150 100000\n28932 43231\n52382 78511\n61074 91611\n11168 16737\n98455 100000\n82428 100000\n92588 100000\n24245 36257\n79824 100000\n41077 61482\n69576 100000\n52641 78900\n53069 79534\n86431 100000\n5391 8086\n4727 7112\n84247 100000\n63193 94789\n91422 100000\n51464 77113\n69952 100000\n62442 93671\n23962 35837\n43155 64568\n97314 100000\n61306 91976\n49649 74383\n22647 33862\n62237 93383\n87607 100000\n38049 56909\n97187 100000\n48286 72311\n34279 51232\n10123 15183\n53891 80779\n2004 3015\n33456 50011\n72103 100000\n95194 100000\n77708 100000\n18156 27167\n21897 32731\n13517 20255\n95436 100000\n98294 100000\n39321 58855\n32143 48065\n36119 54004\n87450 100000\n45812 68571\n20872 31201\n39965 59811\n38227 57182\n82267 100000\n82320 100000\n17700 26477\n65657 98488\n39713 59444\n28677 42845\n94345 100000\n72385 100000\n41352 61897\n48006 71897\n10941 16410\n36238 54174\n99328 100000\n42758 63980\n77902 100000\n14052 21044\n85685 100000\n24397 36470\n61578 92376\n14471 21677\n86174 100000\n45233 67696\n68139 100000\n91611 100000\n40575 60727\n42770 63998\n67665 100000\n30678 45857\n40368 60414\n9618 14418\n52037 77986\n42211 63154\n70548 100000\n85566 100000\n13819 20698\n77689 100000\n82958 100000\n92511 100000\n28674 42841\n36973 55276\n69637 100000\n76005 100000\n40319 60335\n51522 77200\n62443 93673\n80782 100000\n83585 100000\n32840 49098\n3378 5084\n53609 80358\n19532 29195\n75164 100000\n73972 100000\n96335 100000\n39218 58697\n15952 23885\n24458 36557\n86742 100000\n6615 9893\n40697 60907\n79227 100000\n98516 100000\n3541 5330\n71494 100000\n52481 78660\n31127 46540\n17088 25561\n98430 100000\n43858 65635\n82366 100000\n88311 100000\n61762 92650\n78688 100000\n93359 100000\n69366 100000\n13031 19532\n41549 62176\n92475 100000\n42502 63592\n93838 100000\n32473 48552\n47287 70801\n21857 32676\n21775 32555\n15525 23245\n34854 52104\n36252 54195\n55835 83703\n48467 72576\n30186 45115\n71800 100000\n83720 100000\n85575 100000\n54136 81156\n34294 51259\n6881 10292\n54659 81942\n25629 38283\n76885 100000\n19953 29828\n22358 33412\n38595 57749\n93266 100000\n71360 100000\n34275 51227\n79085 100000\n758 1157\n28300 42291\n60117 90178\n942 1436\n77612 100000\n16576 24798\n16802 25130\n6560 9804\n30371 45398\n91192 100000\n80065 100000\n43204 64644\n42973 64299\n67892 100000\n79223 100000\n15348 22978\n33222 49669\n27595 41230\n58808 88198\n43484 65061\n77225 100000\n3064 4618\n35779 53488\n11406 17100\n34792 52018\n44366 66398\n71670 100000\n69772 100000\n94610 100000\n87881 100000\n96013 100000\n48776 73043\n68001 100000\n78884 100000\n51140 76617\n43231 64686\n36706 54867\n24432 36521\n5042 7575\n39158 58597\n15455 23138\n26008 38862\n32461 48534\n83034 100000\n16777 25094\n65095 97629\n36907 55179\n65693 98542\n48179 72152\n76292 100000\n9028 13542\n87535 100000\n48946 73302\n99926 100000\n26279 39285\n93510 100000\n47935 71788\n1441 2181\n2767 4172\n62271 93434\n77649 100000\n12533 18790\n26496 39610\n20815 31120\n44558 66682\n2607 3932\n3921 5911\n6549 9791\n39197 58661\n67788 100000\n47599 71281\n85162 100000\n73647 100000\n21896 32730\n62219 93355\n25542 38161\n33383 49901\n51988 77915\n24081 36015\n41859 62626\n42185 63118\n86132 100000\n63612 95412\n77535 100000\n1142 1746\n45822 68587\n21999 32880\n37503 56075\n43096 64478\n41865 62635\n32340 48363\n99532 100000\n17176 25698\n84027 100000\n44522 66633\n28659 42816\n68175 100000\n30353 45367\n42805 64046\n27971 41794\n63046 94569\n35075 52433\n27180 40613\n96667 100000\n96047 100000\n98818 100000\n43126 64528\n77776 100000\n10480 15722\n87883 100000\n45259 67738\n70775 100000\n89643 100000\n87893 100000\n92161 100000\n63899 95839\n84290 100000\n23331 34889\n96167 100000\n21809 32608\n4321 6494\n37499 56068\n96993 100000\n66724 100000\n41299 61816\n58350 87523\n64988 97468\n91360 100000\n72389 100000\n99678 100000\n6154 9213\n64206 96299\n68915 100000\n19575 29265\n56630 84894\n28814 43053\n47184 70647\n2622 3954\n12613 18912\n37493 56059\n98834 100000\n59007 88491\n35273 52729\n71398 100000\n82264 100000\n38273 57255\n32083 47976\n77976 100000\n74935 100000\n94793 100000\n4857 7306\n91849 100000\n86469 100000\n89996 100000\n56597 84844\n74375 100000\n80725 100000\n20262 30306\n99359 100000\n65776 98668\n75444 100000\n80733 100000\n93407 100000\n90887 100000\n36167 54071\n58247 87361\n56405 84562\n8471 12680\n26032 38901\n3361 5056\n65730 98597\n29030 43379\n29979 44807\n13978 20938\n38644 57827\n49689 74444\n92942 100000\n65259 97887\n42299 63294\n45201 67647\n89027 100000\n13712 20535\n51108 76571\n66332 99513\n7238 10833\n15478 23172\n29811 44550\n54094 81090\n54024 80985\n30748 45972\n81981 100000\n79691 100000\n40276 60268\n83001 100000\n8993 13489\n72340 100000\n24325 36370\n8136 12182\n59971 89956\n25525 38134\n51107 76570\n57533 86278\n41866 62636\n30072 44944\n48838 73136\n67179 100000\n31547 47173\n98147 100000\n5280 7925\n12660 18979\n90522 100000\n43542 65151\n33670 50323\n16009 23975\n52699 78991\n93611 100000\n90989 100000\n45968 68811\n52515 78712\n66624 99966\n78860 100000\n46475 69585\n66875 100000\n89589 100000\n48564 72726\n45626 68291\n64572 96848\n18183 27205\n72661 100000\n60921 91381\n49091 73527\n40974 61324\n57502 86230\n44469 66550\n59113 88646\n1213 1847\n68739 100000\n72242 100000\n64169 96244\n93557 100000\n60818 91229\n46392 69452\n88046 100000\n95626 100000\n11679 17512\n65 98\n80888 100000\n68098 100000\n86810 100000\n65852 98776\n7890 11813\n97527 100000\n44145 66064\n55557 83283\n12218 18329\n71402 100000\n68075 100000\n62869 94308\n75405 100000\n87116 100000\n31702 47416\n4318 6488\n13082 19606\n38157 57075\n28084 41965\n38869 58158\n23643 35350\n66280 99438\n56155 84183\n55453 83130\n62339 93533\n87432 100000\n56352 84478\n74963 100000\n27043 40412\n24355 36415\n30280 45260\n52012 77949\n36979 55286\n80076 100000\n59815 89717\n84220 100000\n81749 100000\n41062 61457\n83065 100000\n36578 54690\n62209 93338\n2361 3562\n23090 34527\n81206 100000\n4313 6481\n86841 100000\n60004 90008\n73566 100000\n80692 100000\n17224 25773\n38261 57237\n29639 44284\n66232 99359\n33508 50083\n41747 62463\n64924 97374\n64325 96475\n40886 61192\n55200 82761\n96594 100000\n70685 100000\n6435 9626\n55974 83911\n70671 100000\n43176 64600\n90937 100000\n49377 73973\n98828 100000\n23810 35607\n63129 94693\n96902 100000\n61648 92476\n97192 100000\n47517 71160\n72775 100000\n59131 88672\n53502 80192\n30559 45677\n66949 100000\n75676 100000\n92201 100000\n31524 47140\n24820 37090\n86979 100000\n46693 69912\n82480 100000\n82497 100000\n98656 100000\n27307 40802\n58379 87566\n73194 100000\n10007 15008\n16324 24436\n87674 100000\n77406 100000\n7011 10487\n19391 28995\n32829 49084\n3733 5614\n96918 100000\n66907 100000\n81512 100000\n59869 89794\n53332 79926\n15281 22879\n36445 54496\n79933 100000\n22717 33969\n95934 100000\n4378 6579\n18899 28271\n816 1240\n76154 100000\n62363 93568\n79796 100000\n72054 100000\n68887 100000\n68637 100000\n52693 78983\n15280 22877\n24743 36978\n94629 100000\n32986 49316\n14946 22376\n58953 88410\n24543 36679\n79242 100000\n61282 91943\n36070 53928\n36235 54170\n77935 100000\n35284 52745\n67275 100000\n90898 100000\n64425 96616\n31045 46417\n3405 5127\n21520 32176\n23544 35208\n1745 2629\n98196 100000\n85075 100000\n81646 100000\n64202 96293\n42748 63964\n48224 72220\n76416 100000\n87349 100000\n81654 100000\n44099 65996\n91748 100000\n13820 20700\n89352 100000\n84614 100000\n92917 100000\n2436 3676\n56011 83964\n95100 100000\n96234 100000\n63035 94554\n43884 65678\n18362 27475\n32273 48260\n32038 47909\n97533 100000\n76309 100000\n87542 100000\n41186 61647\n65033 97538\n95401 100000\n80130 100000\n26940 40257\n69616 100000\n98951 100000\n11582 17362\n50141 75117\n21554 32227\n71999 100000\n68132 100000\n15593 23350\n77952 100000\n25879 38666\n74389 100000\n42673 63852\n50645 75874\n56168 84204\n91322 100000\n64395 96577\n11677 17510\n93330 100000\n78619 100000\n78494 100000\n76164 100000\n93423 100000\n98297 100000\n21414 32007\n5181 7783\n55401 83054\n88825 100000\n88681 100000\n3883 5848\n55029 82509\n81527 100000\n74168 100000\n91567 100000\n31791 47537\n42853 64116\n86578 100000\n52203 78233\n57365 86019\n57683 86507\n67808 100000\n91591 100000\n91590 100000\n71673 100000\n53857 80725\n56183 84225\n64782 97159\n49370 73961\n46503 69629\n28096 41982\n96848 100000\n52586 78822\n45784 68530\n23572 35247\n96643 100000\n16781 25100\n8789 13173\n34675 51842\n69552 100000\n29856 44619\n27161 40588\n65962 98947\n60637 90957\n35107 52481\n57889 86825\n91120 100000\n78208 100000\n34453 51501\n88228 100000\n18008 26955\n63128 94691\n56502 84706\n22996 34378\n26864 40141\n56141 84160\n1932 2907\n7502 11238\n47251 70750\n73611 100000\n47354 70910\n73444 100000\n23202 34692\n57818 86723\n8757 13123\n41004 61371\n36309 54285\n58838 88242\n96999 100000\n77712 100000\n73538 100000\n1754 2642\n72707 100000\n63845 95752\n71097 100000\n12600 18892\n61503 92266\n52731 79037\n63249 94873\n21718 32470\n98785 100000\n92916 100000\n2535 3822\n47116 70545\n85815 100000\n69903 100000\n54440 81609\n50709 75963\n56269 84343\n94565 100000\n35415 52944\n45666 68350\n56300 84397\n92337 100000\n58640 87953\n75434 100000\n18336 27435\n89654 100000\n96018 100000\n16948 25350\n75108 100000\n51991 77920\n80282 100000\n27285 40767\n97547 100000\n46704 69929\n22369 33428\n18806 28133\n41345 61887\n53476 80150\n55122 82648\n21131 31593\n6200 9278\n94330 100000\n37167 55577\n45843 68622\n70448 100000\n67224 100000\n48175 72146\n93752 100000\n35804 53528\n73182 100000\n58978 88446\n23015 34407\n23312 34860\n39753 59499\n28569 42673\n39911 59737\n10888 16326\n41272 61773\n7403 11079\n10208 15314\n24261 36281\n19514 29170\n20129 30103\n72042 100000\n68460 100000\n52106 78094\n26813 40068\n3097 4670\n4982 7486\n25186 37628\n4430 6655\n66788 100000\n12944 19402\n90090 100000\n12304 18456\n36987 55298\n72945 100000\n95843 100000\n3251 4901\n89844 100000\n30839 46105\n69371 100000\n87207 100000\n35691 53359\n71871 100000\n42903 64198\n49614 74335\n56329 84445\n41947 62753\n84972 100000\n77676 100000\n53263 79818\n48745 73001\n68301 100000\n36351 54354\n36677 54827\n82463 100000\n61664 92500\n71552 100000\n65648 98475\n41082 61489\n60368 90552\n89897 100000\n14554 21798\n75654 100000\n61842 92774\n1789 2692\n53008 79443\n92417 100000\n19722 29485\n26778 40014\n16551 24764\n16928 25321\n94974 100000\n67791 100000\n60948 91419\n26925 40237\n8956 13430\n87319 100000\n52105 78092\n67155 100000\n57431 86120\n40719 60937\n20949 31312\n11489 17229\n53307 79887\n7893 11817\n95969 100000\n9287 13935\n46642 69837\n39846 59639\n43164 64581\n55001 82469\n43309 64801\n4185 6301\n8270 12378\n5848 8754\n9552 14321\n11482 17219\n94679 100000\n69988 100000\n64759 97131\n66968 100000\n4111 6188\n46446 69542\n34572 51691\n98630 100000\n40212 60181\n19401 29010\n80846 100000\n24860 37147\n76067 100000\n41915 62710\n46438 69527\n95484 100000\n83145 100000\n48266 72281\n77114 100000\n27684 41361\n49475 74121\n98124 100000\n35570 53171\n37301 55774\n60951 91424\n20447 30583\n7791 11663\n54977 82428\n4392 6600\n39277 58790\n57023 85486\n16353 24475\n69014 100000\n88901 100000\n28113 42006\n61537 92317\n12088 18134\n6516 9739\n58381 87569\n83844 100000\n67756 100000\n35831 53564\n9072 13613\n86628 100000\n4860 7311\n75786 100000\n8727 13076\n22664 33888\n19961 29841\n1677 2536\n97627 100000\n18126 27125\n46997 70364\n98972 100000\n71976 100000\n14674 21965\n87757 100000\n77818 100000\n35913 53685\n81265 100000\n54598 81843\n52235 78283\n96241 100000\n26587 39739\n73330 100000\n70996 100000\n63953 95923\n46056 68945\n73674 100000\n36430 54478\n71357 100000\n64786 97167\n92611 100000\n91615 100000\n26952 40275\n48555 72712\n16726 25020\n95037 100000\n87375 100000\n20612 30824\n34355 51348\n91976 100000\n75784 100000\n36211 54138\n64850 97263\n12989 19469\n40169 60118\n99068 100000\n78792 100000\n11134 16688\n70794 100000\n45269 67753\n68582 100000\n67069 100000\n19788 29577\n74356 100000\n63251 94875\n7 12\n65351 98022\n81938 100000\n65995 98998\n61337 92026\n56942 85364\n68674 100000\n18887 28254\n26404 39468\n58525 87786\n53559 80280\n9541 14306\n57184 85744\n54271 81354\n81317 100000\n9079 13622\n67540 100000\n99518 100000\n29050 43407\n94361 100000\n26210 39176\n54740 82067\n95477 100000\n1837 2764\n82394 100000\n55562 83291\n82386 100000\n40329 60352\n67641 100000\n71797 100000\n23055 34473\n52661 78929\n18898 28269\n22225 33212\n16914 25301\n9458 14190\n73153 100000\n97902 100000\n73605 100000\n33640 50277\n42323 63332\n94117 100000\n83078 100000\n53137 79639\n78327 100000\n87861 100000\n37319 55802\n53363 79976\n31523 47138\n19598 29298\n99998 100000\n80421 100000\n97697 100000\n63958 95931\n28877 43151\n68569 100000\n96140 100000\n939 1433\n23217 34716\n23825 35630\n17594 26320\n82412 100000\n23128 34585\n93616 100000\n98268 100000\n29280 43744\n81648 100000\n5577 8363\n58232 87338\n38388 57428\n84397 100000\n2904 4377\n57750 86616\n65296 97940\n77804 100000\n92560 100000\n94246 100000\n60398 90596\n99904 100000\n71540 100000\n69687 100000\n68376 100000\n74130 100000\n46418 69493\n88110 100000\n27720 41413\n95862 100000\n20454 30593\n23286 34819\n26601 39762\n95371 100000\n10777 16168\n59577 89358\n72324 100000\n30447 45512\n15208 22764\n55364 82998\n8538 12781\n26522 39645\n14032 21015\n28716 42906\n77539 100000\n24000 35896\n36974 55278\n34601 51732\n35240 52676\n75863 100000\n34844 52090\n91752 100000\n70704 100000\n2381 3595\n66882 100000\n40139 60069\n35630 53264\n63761 95634\n14644 21919\n66389 99602\n54164 81197\n39315 58845\n4884 7342\n60412 90616\n72496 100000\n51607 77330\n37967 56780\n82605 100000\n11465 17194\n8180 12245\n82566 100000\n29913 44707\n4899 7365\n72232 100000\n20764 31046\n8713 13055\n66082 99133\n49250 73780\n32209 48172\n17718 26503\n35191 52605\n14159 21209\n85429 100000\n91314 100000\n59278 88892\n67086 100000\n63458 95186\n35448 52992\n10304 15464\n54349 81468\n92539 100000\n73783 100000\n34596 51725\n73266 100000\n98979 100000\n51775 77589\n54874 82269\n23990 35881\n95813 100000\n18393 27522\n6979 10437\n24699 36911\n99949 100000\n78055 100000\n97009 100000\n10625 15942\n40677 60878\n52584 78820\n43342 64846\n97075 100000\n77376 100000\n52903 79285\n76984 100000\n21307 31850\n60812 91221\n26315 39338\n40656 60847\n30171 45091\n81430 100000\n45964 68806\n98261 100000\n11132 16684\n68394 100000\n50698 75947\n219 331\n38142 57052\n83364 100000\n7475 11194\n27203 40645\n52645 78906\n4809 7233\n72637 100000\n70067 100000\n30660 45829\n98021 100000\n78773 100000\n58643 87957\n92807 100000\n33629 50263\n91695 100000\n31110 46516\n77288 100000\n21909 32750\n65266 97896\n63786 95671\n12902 19341\n40101 60015\n85474 100000\n11862 17782\n90885 100000\n24674 36877\n20021 29931\n72494 100000\n76858 100000\n18386 27513\n76273 100000\n48630 72828\n75151 100000\n89953 100000\n7525 11273\n20638 30865\n54477 81662\n32026 47893\n42542 63648\n56857 85232\n75845 100000\n37764 56471\n32497 48589\n74662 100000\n32548 48668\n62409 93628\n3630 5452\n98466 100000\n81632 100000\n79865 100000\n26995 40340\n30672 45848\n57319 85952\n27969 41791\n51789 77615\n91916 100000\n95775 100000\n4675 7031\n96282 100000\n47324 70859\n53665 80448\n5636 8447\n95809 100000\n94635 100000\n16741 25043\n69284 100000\n49765 74559\n2692 4057\n99484 100000\n63865 95786\n48603 72792\n77679 100000\n20371 30464\n67118 100000\n29892 44679\n6538 9774\n13519 20258\n22690 33924\n96463 100000\n27750 41459\n6487 9694\n7826 11714\n95690 100000\n58577 87859\n80865 100000\n65911 98866\n38730 57955\n49107 73551\n55060 82556\n31409 46961\n94857 100000\n97657 100000\n89336 100000\n37379 55890\n74867 100000\n6144 9199\n89969 100000\n31919 47729\n98611 100000\n70229 100000\n33818 50536\n61695 92551\n31162 46594\n78512 100000\n8900 13339\n80503 100000\n62575 93869\n4822 7253\n84881 100000\n73355 100000\n45590 68237\n57311 85942\n97496 100000\n52776 79105\n22582 33759\n15454 23137\n72408 100000\n56192 84239\n37851 56606\n60039 90060\n39703 59427\n28536 42627\n66955 100000\n45255 67731\n7150 10696\n56868 85249\n46076 68976\n80185 100000\n14979 22424\n41587 62232\n69389 100000\n52122 78119\n12490 18725\n28636 42779\n26454 39542\n97245 100000\n97498 100000\n14344 21487\n27753 41464\n58853 88267\n35002 52326\n6480 9685\n14634 21906\n47575 71251\n96474 100000\n91238 100000\n72432 100000\n66536 99834\n76642 100000\n12437 18650\n80731 100000\n5080 7630\n42161 63085\n66079 99128\n79310 100000\n55450 83126\n14424 21606\n63045 94567\n67317 100000\n86537 100000\n2760 4161\n87793 100000\n87457 100000\n45234 67698\n63464 95194\n84159 100000\n56231 84287\n20268 30312\n56354 84481\n23731 35484\n96881 100000\n54115 81122\n30172 45093\n78068 100000\n22237 33229\n53776 80610\n39949 59790\n27933 41738\n94359 100000\n60305 90461\n77511 100000\n86295 100000\n17399 26034\n29523 44101\n58841 88247\n89720 100000\n51047 76479\n61569 92364\n717 1088\n66067 99111\n73413 100000\n81047 100000\n762 1162\n20303 30364\n66278 99436\n44836 67089\n5557 8332\n57234 85819\n35483 53044\n81665 100000\n99352 100000\n67975 100000\n41190 61654\n67488 100000\n23791 35576\n27792 41525\n53287 79854\n94752 100000\n43544 65153\n58095 87135\n89193 100000\n25012 37366\n33262 49727\n18467 27632\n15249 22830\n70106 100000\n2296 3463\n6375 9543\n98372 100000\n36226 54159\n78960 100000\n474 716\n43412 64954\n45593 68241\n50281 75330\n6409 9592\n97752 100000\n31443 47015\n68554 100000\n87041 100000\n95576 100000\n52172 78188\n29484 44041\n19378 28971\n42511 63603\n14711 22025\n5660 8482\n32636 48798\n42975 64301\n66887 100000\n34749 51957\n99552 100000\n20944 31305\n21864 32685\n78879 100000\n18869 28225\n82820 100000\n15117 22630\n60617 90929\n9995 14989\n34241 51180\n53327 79919\n70710 100000\n22011 32900\n28939 43240\n20847 31167\n20286 30338\n59379 89050\n27935 41740\n13782 20642\n81736 100000\n40499 60613\n33030 49382\n7155 10704\n42017 62858\n22851 34163\n28402 42434\n37822 56565\n36551 54653\n23018 34413\n8179 12243\n29181 43599\n49846 74678\n79860 100000\n2532 3817\n47253 70754\n5091 7646\n11893 17833\n39283 58799\n15906 23816\n67844 100000\n2394 3614\n29096 43473\n29078 43447\n11346 17009\n74469 100000\n57686 86513\n33599 50224\n69632 100000\n49113 73562\n56786 85123\n23122 34577\n80732 100000\n8955 13428\n64668 96993\n52820 79170\n93215 100000\n61333 92019\n52186 78208\n23328 34885\n58063 87088\n44239 66204\n14406 21575\n67362 100000\n70450 100000\n59681 89514\n36950 55242\n33276 49746\n13917 20841\n93419 100000\n94247 100000\n20182 30179\n75278 100000\n6696 10019\n22564 33731\n99097 100000\n89907 100000\n23138 34597\n182 274\n42626 63779\n48661 72874\n76077 100000\n1422 2156\n80866 100000\n55818 83676\n81194 100000\n37521 56103\n97715 100000\n7158 10709\n59668 89495\n36525 54614\n99258 100000\n27709 41395\n77463 100000\n20577 30776\n33786 50490\n55148 82687\n96589 100000\n27660 41328\n81711 100000\n67185 100000\n17584 26304\n40859 61151\n77478 100000\n18719 28002\n35786 53497\n6800 10171\n43163 64579\n81679 100000\n80168 100000\n85007 100000\n13308 19940\n67151 100000\n38473 57561\n31635 47310\n12664 18986\n99782 100000\n60764 91149\n21967 32834\n37539 56127\n20732 30998\n24702 36917\n44890 67170\n65763 98647\n77024 100000\n78595 100000\n74655 100000\n61579 92377\n72586 100000\n91542 100000\n23250 34769\n45410 67967\n25984 38825\n13329 19972\n92325 100000\n86347 100000\n96875 100000\n20687 30934\n39990 59849\n59950 89923\n96904 100000\n22993 34374\n36523 54611\n38371 57401\n59917 89870\n13571 20335\n84902 100000\n61619 92433\n22347 33393\n53623 80380\n84703 100000\n27990 41820\n51915 77801\n70566 100000\n60347 90524\n28212 42164\n1156 1768\n30083 44961\n79877 100000\n20307 30369\n41580 62221\n27638 41299\n57615 86405\n66592 99919\n13213 19798\n42106 62996\n42050 62911\n52071 78039\n28299 42290\n50883 76226\n39450 59043\n9961 14941\n38233 57193\n85076 100000\n24969 37305\n58846 88255\n39734 59473\n38099 56986\n33481 50049\n5350 8028\n94060 100000\n4428 6652\n59475 89202\n14916 22335\n97709 100000\n28242 42208\n26444 39526\n51933 77831\n39505 59124\n28334 42344\n96079 100000\n75561 100000\n67174 100000\n90821 100000\n70404 100000\n62759 94140\n42317 63322\n82325 100000\n38092 56976\n4685 7045\n91260 100000\n72856 100000\n96020 100000\n27889 41672\n99342 100000\n94789 100000\n38702 57913\n93263 100000\n25969 38804\n7008 10483\n55087 82596\n7286 10907\n36764 54955\n60722 91085\n98121 100000\n28117 42011\n81886 100000\n21544 32213\n45439 68006\n35508 53082\n19253 28789\n25928 38739\n29645 44295\n85579 100000\n81493 100000\n55692 83489\n89924 100000\n5427 8139\n83544 100000\n34482 51546\n73300 100000\n35000 52323\n53312 79897\n52023 77965\n42596 63731\n39539 59173\n48352 72409\n41728 62436\n74753 100000\n3319 4996\n29527 44107\n99485 100000\n85405 100000\n20397 30507\n15674 23477\n52064 78028\n28995 43326\n63159 94735\n2185 3294\n54279 81363\n15255 22839\n25397 37950\n53271 79829\n15333 22955\n42974 64300\n81761 100000\n336 503\n54073 81060\n82634 100000\n7363 11024\n81685 100000\n6918 10346\n50817 76126\n68700 100000\n4382 6586\n99264 100000\n8046 12047\n85190 100000\n20250 30285\n47530 71182\n3595 5404\n17378 26000\n79542 100000\n72423 100000\n8752 13114\n22246 33242\n6331 9478\n93638 100000\n36820 55042\n18577 27791\n15998 23957\n27354 40868\n5044 7577\n91371 100000\n81094 100000\n22631 33835\n41119 61546\n6672 9979\n53168 79681\n8075 12091\n80569 100000\n12779 19159\n42803 64043\n17733 26526\n58207 87299\n29820 44563\n90834 100000\n64577 96857\n50484 75640\n69739 100000\n71319 100000\n86582 100000\n59074 88586\n51884 77756\n66728 100000\n95863 100000\n58814 88209\n93574 100000\n67305 100000\n15921 23837\n86657 100000\n80848 100000\n49175 73657\n58998 88478\n65414 98120\n77843 100000\n85129 100000\n62814 94221\n5979 8947\n86543 100000\n48926 73273\n6710 10038\n25155 37579\n5058 7595\n21914 32758\n72923 100000\n27399 40938\n73655 100000\n80258 100000\n7183 10748\n53640 80407\n28055 41919\n72538 100000\n72509 100000\n45829 68600\n33837 50562\n48664 72880\n52133 78137\n88485 100000\n59672 89502\n69130 100000\n16393 24536\n93360 100000\n39507 59128\n28105 41997\n16316 24427\n46795 70065\n69964 100000\n57016 85476\n28276 42257\n17606 26338\n43925 65744\n88994 100000\n892 1362\n45157 67578\n34388 51398\n20309 30371\n94079 100000\n77914 100000\n10409 15617\n185 280\n57266 85872\n2955 4452\n34346 51334\n77800 100000\n55392 83040\n64392 96572\n79539 100000\n88772 100000\n86156 100000\n49778 74579\n77372 100000\n14735 22061\n51492 77154\n9455 14185\n13977 20936\n16959 25366\n16189 24239\n909 1385\n23665 35385\n40513 60634\n41001 61367\n40479 60582\n85181 100000\n25816 38571\n25881 38669\n14479 21686\n93894 100000\n11057 16578\n44269 66250\n40312 60325\n77101 100000\n46002 68865\n64473 96688\n26004 38855\n14725 22046\n53128 79626\n16752 25058\n10838 16250\n27791 41523\n36876 55133\n72017 100000\n94881 100000\n49070 73491\n30329 45334\n48786 73057\n41359 61907\n34343 51330\n65501 98253\n55735 83558\n36005 53821\n31213 46666\n99104 100000\n71223 100000\n67871 100000\n74278 100000\n27291 40776\n13146 19699\n97242 100000\n57924 86879\n78458 100000\n99172 100000\n41970 62788\n80753 100000\n8360 12514\n9935 14902\n48186 72161\n7928 11871\n71214 100000\n13185 19757\n76600 100000\n91176 100000\n22591 33774\n36874 55129\n47919 71766\n39348 58896\n42557 63673\n71882 100000\n34306 51279\n41910 62702\n18588 27806\n42933 64238\n7554 11313\n66513 99795\n32057 47938\n21129 31590\n83015 100000\n32852 49116\n83868 100000\n6106 9145\n29849 44609\n33631 50265\n26207 39170\n58492 87734\n2657 4003\n13906 20824\n98017 100000\n23296 34835\n98917 100000\n52465 78634\n72476 100000\n47903 71743\n28033 41888\n56997 85446\n58237 87346\n16488 24665\n35304 52776\n51649 77391\n41679 62371\n18846 28187\n51067 76509\n16440 24601\n69621 100000\n62996 94498\n54372 81506\n78150 100000\n84765 100000\n38451 57527\n88358 100000\n54836 82211\n70604 100000\n11021 16526\n56250 84316\n1545 2338\n17217 25763\n33825 50547\n79104 100000\n49196 73691\n55859 83737\n32192 48142\n88073 100000\n95358 100000\n16131 24155\n57443 86139\n57350 85998\n66525 99816\n99790 100000\n83122 100000\n46062 68954\n2033 3062\n77240 100000\n92479 100000\n51507 77177\n91424 100000\n7416 11102\n61739 92614\n23595 35281\n31765 47500\n71462 100000\n43996 65845\n10174 15260\n56430 84598\n17978 26906\n84565 100000\n46993 70356\n49086 73517\n79278 100000\n1858 2795\n16565 24782\n62098 93169\n36643 54781\n32276 48265\n14929 22354\n99608 100000\n50088 75035\n1610 2438\n9061 13595\n25469 38053\n18239 27291\n71584 100000\n72979 100000\n27777 41500\n77540 100000\n58319 87474\n19240 28769\n88504 100000\n18688 27956\n25569 38197\n93949 100000\n1208 1839\n10697 16051\n25367 37901\n10904 16352\n67195 100000\n68848 100000\n55250 82834\n51459 77103\n13474 20189\n24646 36837\n70857 100000\n37802 56531\n16198 24253\n20586 30790\n56677 84963\n9978 14964\n73914 100000\n87083 100000\n3828 5760\n17963 26886\n64583 96864\n17673 26442\n95027 100000\n54285 81372\n55434 83099\n92687 100000\n82479 100000\n43232 64687\n93496 100000\n84094 100000\n78763 100000\n94030 100000\n72228 100000\n31396 46944\n46763 70015\n69650 100000\n43762 65489\n35020 52353\n93248 100000\n35601 53220\n51867 77732\n62071 93128\n79816 100000\n33832 50556\n828 1256\n81525 100000\n6857 10257\n34093 50957\n89101 100000\n36885 55146\n66785 100000\n90711 100000\n15416 23081\n37536 56123\n46410 69480\n65864 98794\n31676 47378\n67198 100000\n89751 100000\n66627 99972\n97209 100000\n21476 32106\n29857 44621\n62939 94414\n15185 22733\n28263 42237\n39743 59486\n15353 22985\n52655 78921\n41854 62619\n34001 50815\n14618 21884\n51189 76689\n8679 12999\n10076 15117\n65216 97819\n47503 71136\n63055 94583\n45526 68140\n24032 35944\n70749 100000\n70960 100000\n80389 100000\n18039 26999\n72888 100000\n34002 50817\n19398 29006\n31267 46750\n51151 76632\n48061 71973\n18484 27657\n64554 96819\n70101 100000\n59545 89310\n32887 49168\n9866 14800\n38673 57868\n60969 91450\n94151 100000\n69171 100000\n32125 48039\n64579 96859\n22658 33878\n66429 99667\n6099 9134\n37550 56142\n17674 26443\n84364 100000\n98872 100000\n1145 1750\n28349 42365\n19702 29456\n27501 41089\n39930 59763\n13003 19490\n15747 23583\n70583 100000\n89777 100000\n64462 96669\n66886 100000\n28530 42619\n44684 66871\n80812 100000\n16996 25422\n69376 100000\n31654 47342\n81798 100000\n45790 68540\n67228 100000\n38970 58316\n54464 81642\n10200 15301\n2496 3764\n92940 100000\n3201 4828\n18681 27946\n28916 43208\n88529 100000\n22838 34145\n44244 66212\n40147 60083\n24457 36556\n7932 11877\n4676 7032\n8054 12059\n55066 82565\n42005 62840\n45691 68389\n87975 100000\n20051 29977\n44008 65860\n69682 100000\n21189 31680\n71613 100000\n66288 99451\n63525 95279\n29701 44384\n27425 40974\n56436 84607\n96575 100000\n29436 43968\n85146 100000\n58962 88425\n25249 37718\n94299 100000\n90131 100000\n91061 100000\n91383 100000\n76605 100000\n26671 39858\n47895 71731\n20834 31146\n88085 100000\n97145 100000\n24322 36367\n90478 100000\n75798 100000\n59094 88615\n80783 100000\n11282 16916\n3525 5308\n34692 51869\n7196 10770\n83369 100000\n57376 86035\n69489 100000\n20466 30612\n97542 100000\n47816 71610\n982 1500\n86327 100000\n11150 16710\n89463 100000\n89165 100000\n58988 88463\n93829 100000\n58901 88336\n23159 34628\n53772 80604\n67055 100000\n16684 24957\n39152 58586\n76987 100000\n23167 34640\n61219 91838\n3642 5472\n56125 84136\n76687 100000\n73326 100000\n62590 93892\n82870 100000\n74225 100000\n7624 11411\n1183 1804\n28805 43038\n25815 38570\n52002 77936\n48196 72176\n58068 87096\n22167 33131\n11191 16777\n74474 100000\n82115 100000\n79567 100000\n94914 100000\n43104 64492\n79304 100000\n43082 64458\n63579 95362\n69818 100000\n77353 100000\n9801 14703\n83201 100000\n24274 36298\n66070 99114\n23157 34624\n38047 56905\n10337 15510\n13682 20492\n69602 100000\n52202 78231\n68972 100000\n73472 100000\n29954 44771\n54532 81744\n35649 53294\n15706 23525\n13810 20683\n54484 81673\n17367 25985\n65116 97663\n53928 80837\n79612 100000\n71151 100000\n17665 26430\n24171 36145\n32271 48257\n48882 73202\n61550 92334\n51144 76621\n76716 100000\n7479 11201\n55140 82675\n17911 26801\n43646 65315\n45800 68555\n26018 38879\n7787 11655\n184 278\n30456 45529\n95615 100000\n68573 100000\n78130 100000\n46263 69259\n32788 49022\n13995 20962\n65594 98389\n66679 100000\n68089 100000\n16517 24713\n4320 6492\n42274 63254\n83989 100000\n81435 100000\n35195 52611\n10748 16125\n55102 82620\n48466 72575\n48193 72170\n83045 100000\n79592 100000\n72498 100000\n31254 46729\n97685 100000\n32355 48383\n76498 100000\n23785 35567\n34722 51915\n47865 71685\n59517 89265\n28630 42770\n63522 95274\n88666 100000\n11986 17977\n80308 100000\n56542 84766\n34687 51862\n44159 66085\n26744 39966\n74728 100000\n5479 8214\n27896 41683\n11512 17263\n97386 100000\n13684 20494\n26371 39419\n69046 100000\n56441 84613\n45341 67860\n41912 62705\n74355 100000\n5513 8265\n90770 100000\n50555 75747\n52947 79354\n51473 77124\n85182 100000\n43908 65717\n31058 46439\n67858 100000\n36319 54300\n54966 82409\n16478 24652\n85921 100000\n26503 39620\n81856 100000\n88556 100000\n88840 100000\n44124 66037\n47254 70755\n49513 74177\n50773 76057\n68249 100000\n32088 47983\n40939 61272\n52364 78484\n47023 70400\n10936 16403\n76622 100000\n46442 69534\n84326 100000\n94751 100000\n73954 100000\n40359 60399\n71252 100000\n77390 100000\n99818 100000\n6996 10465\n8318 12451\n12899 19337\n35595 53211\n7201 10777\n67334 100000\n16419 24572\n46457 69557\n23881 35713\n55978 83917\n27696 41376\n97402 100000\n20424 30550\n70954 100000\n5096 7654\n54030 80993\n92846 100000\n74339 100000\n22511 33647\n18072 27047\n26924 40236\n22599 33785\n19791 29582\n39356 58907\n60022 90033\n18433 27583\n87216 100000\n5390 8085\n85947 100000\n44255 66227\n9556 14327\n59388 89065\n96854 100000\n75749 100000\n44541 66658\n47235 70722\n992 1517\n26287 39295\n36364 54374\n56861 85238\n24862 37149\n14917 22337\n46227 69200\n75213 100000\n57580 86350\n60262 90397\n8315 12447\n28662 42821\n25202 37650\n81875 100000\n83730 100000\n50921 76287\n78312 100000\n38745 57978\n13000 19485\n54406 81556\n30402 45445\n94736 100000\n96532 100000\n6684 9997\n31023 46384\n30348 45360\n80022 100000\n40850 61137\n50879 76221\n94609 100000\n19782 29570\n47199 70669\n50905 76262\n53711 80517\n26700 39899\n65443 98161\n85895 100000\n74092 100000\n86832 100000\n42220 63167\n78355 100000\n29622 44254\n94428 100000\n99848 100000\n21950 32810\n24157 36127\n73601 100000\n16933 25327\n41074 61478\n15248 22828\n70468 100000\n90386 100000\n49460 74099\n81791 100000\n9825 14740\n95009 100000\n15346 22974\n54306 81403\n10715 16077\n71849 100000\n69684 100000\n23972 35853\n62605 93914\n86511 100000\n61290 91954\n52496 78681\n56290 84381\n55964 83896\n33327 49821\n72871 100000\n62266 93425\n45951 68788\n94924 100000\n796 1209\n7021 10500\n90101 100000\n58670 87998\n24475 36582\n49805 74618\n22557 33723\n41008 61378\n81951 100000\n98451 100000\n36914 55186\n69715 100000\n61919 92893\n67924 100000\n30784 46023\n24671 36872\n98586 100000\n60574 90864\n68807 100000\n45664 68348\n53275 79834\n57384 86044\n20558 30748\n5475 8207\n25163 37592\n58105 87151\n12652 18967\n54370 81503\n59969 89953\n23005 34392\n65048 97560\n47569 71239\n56500 84702\n59499 89238\n85516 100000\n32033 47902\n22744 34011\n76098 100000\n97029 100000\n23661 35379\n91627 100000\n14350 21494\n91174 100000\n63387 95082\n12865 19288\n54799 82157\n91602 100000\n28790 43015\n84906 100000\n21819 32623\n372 557\n51308 76876\n83060 100000\n3901 5877\n49824 74647\n65225 97834\n81889 100000\n1044 1595\n8114 12148\n91860 100000\n24636 36822\n8666 12980\n95 145\n84457 100000\n64224 96328\n43239 64699\n6485 9692\n82942 100000\n87515 100000\n69675 100000\n69499 100000\n93299 100000\n96492 100000\n5281 7926\n71289 100000\n87064 100000\n16691 24968\n90644 100000\n65680 98520\n68064 100000\n36462 54519\n98060 100000\n71127 100000\n33312 49798\n72823 100000\n91780 100000\n59092 88612\n11670 17500\n24232 36237\n63334 95005\n78388 100000\n62818 94229\n13215 19801\n57814 86717\n84981 100000\n51260 76801\n20904 31246\n54504 81702\n11503 17248\n75089 100000\n11766 17642\n49402 74011\n80462 100000\n62052 93095\n18610 27838\n64195 96284\n96971 100000\n62135 93227\n99953 100000\n95250 100000\n50409 75522\n83318 100000\n38517 57628\n86724 100000\n70642 100000\n59533 89290\n71714 100000\n69418 100000\n35789 53502\n31342 46860\n1792 2697\n80301 100000\n14233 21320\n47272 70781\n33769 50463\n68564 100000\n8206 12286\n87124 100000\n25173 37607\n78785 100000\n57338 85980\n24168 36140\n67870 100000\n36353 54357\n70402 100000\n54178 81220\n1317 1997\n72597 100000\n16668 24932\n9316 13979\n61406 92125\n62484 93731\n21558 32232\n72105 100000\n96091 100000\n1769 2663\n95353 100000\n56275 84353\n22493 33621\n59625 89434\n65814 98724\n90991 100000\n63331 95000\n49697 74456\n61649 92478\n55116 82641\n36368 54381\n85968 100000\n23465 35096\n74066 100000\n52141 78148\n98672 100000\n32378 48417\n24393 36463\n60830 91247\n31052 46429\n92928 100000\n99718 100000\n84302 100000\n89755 100000\n64171 96248\n66437 99678\n8007 11985\n72675 100000\n48866 73180\n12474 18702\n64902 97341\n78753 100000\n82250 100000\n9485 14228\n71446 100000\n91072 100000\n29373 43876\n63106 94660\n20766 31049\n13888 20798\n88320 100000\n68420 100000\n6393 9569\n15791 23648\n95335 100000\n90878 100000\n62023 93047\n96431 100000\n7857 11759\n74414 100000\n14360 21508\n70533 100000\n11567 17342\n23433 35042\n66237 99367\n66715 100000\n62226 93364\n79139 100000\n42566 63687\n6907 10329\n23105 34550\n21292 31827\n10066 15102\n48261 72274\n11505 17252\n27651 41317\n49504 74164\n70433 100000\n13222 19812\n84260 100000\n28867 43137\n92339 100000\n76210 100000\n68754 100000\n2801 4225\n31874 47659\n4546 6837\n74893 100000\n51732 77519\n80058 100000\n43151 64561\n14729 22052\n80016 100000\n17520 26213\n42739 63954\n7306 10936\n78999 100000\n65171 97748\n59622 89428\n96625 100000\n58203 87292\n28730 42924\n77523 100000\n40244 60225\n35246 52686\n28946 43251\n73704 100000\n9016 13524\n68203 100000\n56538 84760\n87600 100000\n50513 75684\n93025 100000\n15437 23115\n22791 34079\n1543 2335\n24194 36181\n63655 95479\n68273 100000\n92454 100000\n22499 33629\n1585 2403\n14706 22016\n79512 100000\n8676 12995\n85172 100000\n6512 9732\n4122 6203\n31048 46422\n26201 39161\n70867 100000\n31844 47613\n92278 100000\n14814 22174\n87026 100000\n78608 100000\n60320 90486\n75327 100000\n11054 16574\n39248 58747\n63974 95957\n18308 27393\n69277 100000\n33050 49413\n43559 65178\n29546 44135\n79237 100000\n2691 4056\n33691 50354\n83452 100000\n96673 100000\n43765 65494\n99726 100000\n76815 100000\n19991 29887\n14323 21456\n62948 94428\n86492 100000\n27421 40969\n16404 24551\n18032 26989\n87763 100000\n81067 100000\n12859 19277\n84516 100000\n97269 100000\n39690 59407\n98584 100000\n38260 57235\n33816 50533\n12892 19327\n45212 67661\n17569 26281\n85421 100000\n87494 100000\n32441 48505\n30620 45768\n94277 100000\n60777 91166\n90240 100000\n51190 76691\n30854 46127\n7766 11624\n8455 12657\n67698 100000\n14211 21291\n98477 100000\n54940 82368\n20049 29975\n1970 2965\n67913 100000\n4861 7313\n63917 95864\n15215 22774\n36750 54936\n87661 100000\n60647 90973\n34021 50845\n83672 100000\n90658 100000\n49506 74167\n16426 24582\n56710 85010\n2338 3526\n85057 100000\n9798 14699\n26856 40128\n75549 100000\n16511 24702\n1555 2353\n22324 33359\n25669 38346\n98026 100000\n46159 69097\n3924 5917\n80202 100000\n46400 69466\n92133 100000\n1201 1829\n45386 67928\n33698 50362\n8307 12434\n53886 80773\n97097 100000\n16783 25103\n12927 19377\n66060 99100\n13050 19561\n81199 100000\n37984 56806\n97814 100000\n6387 9561\n64114 96164\n15 22\n21694 32435\n39146 58578\n93982 100000\n3286 4951\n26173 39117\n19165 28656\n71507 100000\n95697 100000\n36642 54780\n98757 100000\n95655 100000\n25620 38272\n53923 80828\n38645 57829\n67017 100000\n92645 100000\n71848 100000\n98639 100000\n68111 100000\n12294 18440\n64656 96973\n33983 50788\n50828 76141\n47991 71873\n25493 38091\n9432 14151\n95588 100000\n30359 45379\n98825 100000\n76549 100000\n68070 100000\n8459 12663\n36208 54132\n46460 69561\n43564 65185\n58968 88433\n55105 82624\n56403 84558\n16986 25407\n19975 29865\n18447 27605\n8448 12645\n91262 100000\n2292 3457\n7076 10585\n60682 91024\n68702 100000\n50958 76344\n27274 40749\n55794 83643\n82722 100000\n82494 100000\n63629 95439\n11368 17045\n25724 38430\n19805 29604\n66641 99992\n9213 13827\n17849 26704\n57324 85959\n29867 44636\n377 566\n22002 32886\n45945 68779\n79442 100000\n97618 100000\n36623 54753\n78952 100000\n41604 62259\n19582 29275\n72459 100000\n44843 67101\n66291 99456\n17059 25518\n36467 54528\n80988 100000\n75802 100000\n37068 55430\n61604 92411\n68119 100000\n64826 97227\n8565 12817\n44154 66077\n1713 2586\n91220 100000\n5782 8658\n19358 28941\n27459 41027\n63841 95748\n69306 100000\n44251 66220\n119 181\n85777 100000\n33918 50683\n31517 47129\n39587 59248\n98191 100000\n61592 92395\n91730 100000\n33616 50248\n27141 40559\n30231 45183\n52401 78539\n33457 50013\n98717 100000\n40730 60956\n52392 78528\n75083 100000\n17630 26377\n23046 34459\n8464 12670\n89219 100000\n55420 83078\n22628 33829\n1846 2777\n94519 100000\n30020 44870\n13759 20606\n8984 13474\n21083 31525\n26497 39611\n1047 1601\n52103 78089\n58457 87683\n84987 100000\n96804 100000\n27455 41020\n65284 97923\n21993 32872\n15264 22854\n96322 100000\n81151 100000\n11784 17671\n1602 2427\n39509 59131\n46700 69922\n64154 96221\n34394 51408\n4736 7123\n95502 100000\n48983 73358\n42338 63353\n21327 31882\n4927 7406\n1295 1968\n59235 88832\n79058 100000\n40546 60683\n79397 100000\n17736 26530\n86805 100000\n93940 100000\n57926 86882\n88751 100000\n65503 98257\n7129 10664\n30704 45898\n1937 2914\n85535 100000\n62073 93132\n49396 74000\n40403 60471\n41458 62045\n51699 77468\n62321 93506\n74163 100000\n98677 100000\n13837 20725\n22067 32984\n8309 12437\n43455 65019\n70165 100000\n51157 76642\n40758 60999\n49138 73602\n79944 100000\n4963 7455\n58884 88310\n20503 30672\n38531 57649\n84499 100000\n9162 13746\n69860 100000\n4098 6170\n66611 99947\n84514 100000\n52340 78448\n34980 52290\n4657 7002\n78737 100000\n38344 57358\n26463 39555\n86712 100000\n3412 5139\n21325 31878\n71138 100000\n21742 32508\n29494 44056\n58972 88439\n44556 66680\n58759 88129\n58914 88355\n88764 100000\n82137 100000\n5468 8197\n47117 70547\n17092 25567\n78887 100000\n22547 33708\n98054 100000\n22318 33352\n22829 34132\n68928 100000\n38995 58354\n99986 100000\n25069 37453\n7492 11224\n66034 99057\n83406 100000\n50260 75298\n62946 94426\n83605 100000\n38794 58046\n63038 94558\n82607 100000\n56776 85107\n78702 100000\n61033 91547\n40629 60809\n95134 100000\n79362 100000\n8221 12307\n24275 36300\n62843 94268\n49082 73511\n59546 89312\n75836 100000\n56698 84991\n50670 75910\n96043 100000\n86440 100000\n37075 55440\n19109 28573\n76533 100000\n18683 27949\n98869 100000\n89775 100000\n47974 71849\n14860 22252\n91715 100000\n38136 57043\n76319 100000\n23508 35161\n81497 100000\n91457 100000\n86244 100000\n55004 82473\n50334 75413\n91503 100000\n18572 27784\n74862 100000\n26074 38965\n16081 24084\n78967 100000\n18503 27685\n60561 90844\n61076 91614\n37487 56052\n38592 57745\n22645 33858\n79799 100000\n28379 42405\n8128 12171\n2850 4299\n53384 80009\n41158 61601\n49371 73963\n53461 80128\n1400 2122\n31243 46714\n94376 100000\n9296 13948\n29797 44528\n12442 18660\n44955 67274\n79961 100000\n27862 41630\n11847 17761\n92741 100000\n84922 100000\n25973 38809\n58699 88043\n12512 18758\n61647 92474\n55546 83266\n42776 64007\n81635 100000\n80453 100000\n98624 100000\n25179 37616\n57508 86238\n75715 100000\n92733 100000\n8010 11990\n62783 94173\n21957 32819\n44457 66530\n16951 25355\n4902 7370\n12840 19250\n25204 37652\n22712 33960\n39355 58906\n81520 100000\n14721 22039\n79808 100000\n70103 100000\n56632 84896\n35104 52476\n78693 100000\n44692 66882\n56134 84150\n7616 11401\n95737 100000\n97054 100000\n16321 24432\n46996 70362\n27870 41643\n5121 7689\n68033 100000\n93125 100000\n33887 50638\n3415 5144\n57208 85779\n39325 58863\n88710 100000\n62961 94444\n31349 46871\n11133 16686\n93447 100000\n54690 81988\n3613 5430\n79297 100000\n3067 4622\n18784 28099\n28574 42680\n57777 86658\n47292 70809\n75455 100000\n99969 100000\n72267 100000\n22794 34083\n81677 100000\n47822 71617\n40732 60958\n4306 6471\n33639 50276\n97569 100000\n71794 100000\n91390 100000\n25033 37394\n74595 100000\n50410 75524\n2096 3162\n48305 72339\n73995 100000\n95493 100000\n12706 19045\n21246 31763\n60105 90158\n80242 100000\n49876 74728\n43015 64356\n34201 51120\n38471 57558\n39714 59446\n30527 45630\n37438 55981\n62177 93291\n14793 22143\n92774 100000\n71135 100000\n37030 55368\n63926 95878\n2855 4304\n83182 100000\n72071 100000\n79341 100000\n96277 100000\n94882 100000\n13777 20633\n57821 86727\n42512 63604\n14624 21893\n28973 43294\n47714 71454\n96337 100000\n94210 100000\n71778 100000\n29730 44428\n71054 100000\n14168 21223\n92419 100000\n27347 40859\n94003 100000\n65390 98081\n90892 100000\n44680 66864\n64301 96437\n74164 100000\n66978 100000\n43445 65006\n52974 79398\n94190 100000\n23856 35676\n5477 8210\n20238 30266\n98792 100000\n93039 100000\n67569 100000\n35201 52619\n12238 18359\n74973 100000\n98948 100000\n86533 100000\n99745 100000\n35147 52537\n684 1040\n6187 9259\n95560 100000\n99245 100000\n65215 97818\n87156 100000\n28708 42895\n42561 63680\n18033 26991\n46515 69647\n52342 78450\n5356 8038\n69166 100000\n4029 6072\n64394 96575\n24589 36752\n26786 40022\n29139 43533\n12031 18048\n54669 81958\n28002 41839\n92666 100000\n22710 33958\n630 959\n75649 100000\n89280 100000\n12643 18953\n60291 90439\n32836 49093\n13903 20819\n71286 100000\n12889 19322\n42285 63270\n86322 100000\n42177 63106\n11791 17681\n39561 59211\n86430 100000\n28386 42414\n13985 20947\n63165 94745\n26495 39609\n26395 39456\n66046 99078\n23700 35437\n23967 35844\n95423 100000\n57529 86273\n1802 2711\n8866 13288\n25955 38779\n23043 34454\n47615 71302\n22252 33252\n57325 85960\n82360 100000\n26900 40197\n5882 8802\n62835 94255\n75348 100000\n80328 100000\n22019 32911\n89404 100000\n53991 80932\n66303 99473\n87489 100000\n22064 32978\n41446 62029\n16663 24925\n72325 100000\n48190 72167\n1194 1819\n15813 23677\n94248 100000\n51478 77133\n13899 20813\n59141 88689\n93237 100000\n30401 45443\n56617 84875\n52024 77966\n24451 36548\n50989 76390\n49865 74710\n349 524\n16300 24404\n9611 14408\n68244 100000\n29767 44485\n51222 76739\n49034 73436\n5811 8699\n463 699\n21724 32477\n56100 84097\n21792 32579\n20859 31183\n38069 56940\n36432 54480\n74057 100000\n57527 86270\n67459 100000\n67389 100000\n54862 82250\n10912 16364\n30064 44934\n90952 100000\n206 312\n61105 91656\n97515 100000\n4737 7125\n49259 73795\n53398 80030\n19278 28827\n12794 19177\n48402 72479\n18679 27943\n290 436\n34549 51656\n81743 100000\n59992 89990\n41765 62487\n13915 20837\n15611 23379\n71211 100000\n36904 55175\n65690 98536\n35544 53132\n80000 100000\n61379 92086\n23602 35291\n64935 97391\n44088 65979\n19658 29391\n76750 100000\n87887 100000\n69857 100000\n90588 100000\n17194 25727\n39421 58997\n70913 100000\n13999 20969\n11822 17722\n60292 90441\n96012 100000\n35693 53362\n4235 6372\n91564 100000\n98596 100000\n60171 90257\n38110 57003\n33446 49993\n65037 97545\n22826 34127\n73348 100000\n53563 80286\n70307 100000\n8973 13457\n32641 48805\n7620 11406\n63641 95456\n47103 70524\n38823 58092\n30878 46161\n83330 100000\n45512 68118\n10800 16202\n5402 8104\n43793 65536\n96502 100000\n44775 67005\n98938 100000\n77160 100000\n14799 22153\n60943 91411\n29056 43416\n99758 100000\n64429 96621\n78407 100000\n9599 14389\n97116 100000\n35988 53798\n37926 56721\n88254 100000\n97047 100000\n66826 100000\n19870 29706\n64490 96716\n60371 90556\n69069 100000\n65020 97517\n757 1155\n95080 100000\n85053 100000\n49855 74693\n33421 49952\n49018 73410\n44319 66327\n66202 99322\n48934 73283\n90297 100000\n93452 100000\n81980 100000\n31025 46387\n17283 25860\n29630 44268\n49817 74636\n94702 100000\n88841 100000\n96073 100000\n35170 52573\n75618 100000\n83483 100000\n79097 100000\n54717 82030\n57461 86170\n85764 100000\n4838 7279\n91501 100000\n3289 4956\n16376 24509\n78075 100000\n69936 100000\n20971 31349\n58592 87881\n52368 78490\n11673 17505\n87164 100000\n52976 79401\n33447 49995\n41136 61570\n49486 74137\n16857 25213\n6231 9324\n16007 23971\n26589 39741\n99565 100000\n22088 33016\n64699 97038\n5825 8721\n9434 14154\n32762 48983\n99395 100000\n69056 100000\n81283 100000\n10449 15674\n44521 66631\n44462 66539\n90622 100000\n77583 100000\n98019 100000\n44441 66506\n10088 15136\n68329 100000\n23818 35621\n9175 13769\n93785 100000\n1032 1578\n1896 2854\n28750 42953\n26324 39352\n79934 100000\n23781 35559\n60137 90207\n30851 46122\n56953 85379\n91661 100000\n18969 28373\n52851 79210\n519 788\n59636 89450\n40293 60294\n94483 100000\n36350 54352\n2597 3914\n73280 100000\n62441 93670\n41210 61681\n59254 88857\n9887 14830\n23566 35238\n91219 100000\n25561 38185\n13954 20898\n97317 100000\n88528 100000\n25962 38792\n39586 59247\n54573 81805\n55526 83235\n31501 47103\n23565 35237\n43383 64912\n15649 23436\n40955 61295\n72752 100000\n41022 61402\n36960 55257\n64615 96915\n3325 5003\n10074 15115\n34862 52115\n34397 51411\n23277 34807\n2263 3413\n86478 100000\n92853 100000\n69894 100000\n57288 85907\n37034 55374\n13469 20182\n4301 6463\n61356 92053\n44129 66043\n72178 100000\n79249 100000\n38510 57615\n41868 62639\n37494 56060\n71533 100000\n46910 70238\n81154 100000\n34154 51049\n39189 58647\n43123 64523\n85937 100000\n24464 36567\n31835 47598\n27387 40919\n16124 24148\n19745 29519\n83531 100000\n34997 52319\n16581 24805\n64407 96591\n99751 100000\n2871 4327\n13112 19649\n5009 7528\n88078 100000\n27764 41480\n28302 42294\n77895 100000\n81893 100000\n45132 67541\n75756 100000\n71619 100000\n72198 100000\n81535 100000\n93503 100000\n83963 100000\n65132 97689\n58226 87327\n94860 100000\n297 447\n11531 17290\n30606 45745\n13137 19687\n19606 29310\n83314 100000\n84963 100000\n28994 43324\n46480 69593\n52325 78427\n354 531\n62612 93923\n65632 98450\n20440 30573\n84212 100000\n37185 55605\n96320 100000\n52006 77941\n45475 68066\n42634 63790\n36754 54942\n97364 100000\n91816 100000\n51844 77699\n85315 100000\n62189 93308\n80996 100000\n67954 100000\n76296 100000\n76953 100000\n88979 100000\n85714 100000\n4690 7053\n53149 79656\n77327 100000\n3866 5821\n32707 48899\n4058 6113\n73650 100000\n31574 47211\n58718 88070\n21912 32755\n2530 3814\n45350 67872\n22640 33850\n2636 3973\n23536 35196\n5407 8111\n36962 55260\n88679 100000\n97740 100000\n61231 91858\n79076 100000\n98043 100000\n62486 93733\n84555 100000\n16837 25179\n10387 15585\n32165 48099\n52848 79205\n46794 70063\n3344 5030\n83086 100000\n31128 46541\n63433 95150\n97236 100000\n13186 19759\n1362 2067\n80391 100000\n81709 100000\n70061 100000\n81499 100000\n55503 83199\n98103 100000\n32768 48992\n22081 33006\n17960 26881\n12241 18363\n99683 100000\n51011 76424\n86042 100000\n23209 34704\n54930 82356\n95422 100000\n66297 99465\n54447 81622\n30691 45877\n7833 11724\n46202 69163\n59731 89587\n8306 12432\n48380 72448\n14244 21340\n27634 41292\n16618 24859\n23749 35510\n13057 19571\n90963 100000\n22506 33640\n35130 52514\n88605 100000\n60078 90116\n45802 68558\n89122 100000\n65885 98828\n18940 28331\n9375 14062\n67608 100000\n84351 100000\n37916 56710\n59265 88872\n98992 100000\n84481 100000\n51922 77813\n17807 26636\n57932 86891\n70150 100000\n51281 76830\n30636 45792\n41668 62353\n99423 100000\n20771 31058\n18152 27162\n72765 100000\n69355 100000\n12268 18400\n78956 100000\n92341 100000\n22887 34222\n6026 9024\n62773 94158\n61039 91556\n58782 88163\n76125 100000\n21664 32389\n72068 100000\n96367 100000\n12968 19439\n95074 100000\n52189 78212\n68634 100000\n2082 3139\n45411 67968\n16228 24297\n2517 3797\n59721 89575\n56837 85198\n21610 32308\n9120 13683\n39782 59544\n95479 100000\n49850 74685\n9852 14780\n10310 15470\n19105 28569\n54661 81946\n84950 100000\n96744 100000\n30786 46026\n33709 50380\n88658 100000\n68742 100000\n7379 11046\n88116 100000\n52460 78627\n61721 92587\n53478 80153\n34122 50997\n24925 37245\n83404 100000\n25201 37649\n82643 100000\n81788 100000\n63208 94811\n40837 61117\n51063 76503\n84541 100000\n42310 63311\n13392 20069\n66831 100000\n86881 100000\n50804 76104\n73035 100000\n56106 84105\n48318 72359\n2068 3115\n53878 80759\n13072 19591\n97565 100000\n81873 100000\n41088 61498\n40765 61011\n59368 89031\n87686 100000\n68073 100000\n20432 30562\n14556 21801\n48503 72631\n16292 24391\n15770 23616\n42083 62960\n23886 35721\n77305 100000\n77953 100000\n44729 66936\n35587 53198\n12986 19466\n88894 100000\n57697 86527\n29126 43515\n54618 81876\n52859 79224\n49633 74361\n38210 57159\n43547 65159\n43859 65636\n19686 29432\n68386 100000\n10620 15934\n10504 15759\n89444 100000\n86545 100000\n88676 100000\n4436 6665\n97732 100000\n38487 57581\n91067 100000\n87380 100000\n23063 34483\n74303 100000\n21256 31775\n95504 100000\n42008 62844\n95370 100000\n34139 51023\n22874 34199\n60531 90802\n6623 9908\n22251 33251\n36437 54486\n92037 100000\n23659 35375\n67009 100000\n34086 50948\n79715 100000\n78032 100000\n71121 100000\n87593 100000\n96722 100000\n29658 44317\n28202 42147\n15439 23118\n8224 12311\n74320 100000\n11106 16648\n59956 89933\n94571 100000\n10501 15756\n56468 84655\n29311 43785\n40823 61097\n60581 90876\n22004 32890\n50286 75336\n42840 64097\n59688 89522\n94027 100000\n2199 3317\n48839 73137\n15276 22871\n93596 100000\n22716 33967\n71378 100000\n74898 100000\n40035 59915\n57568 86330\n67076 100000\n23216 34714\n45369 67902\n78048 100000\n67036 100000\n44004 65854\n19718 29479\n51641 77379\n94515 100000\n54538 81755\n724 1101\n48799 73077\n81018 100000\n44326 66339\n9280 13924\n84771 100000\n11394 17084\n6201 9280\n13305 19937\n28644 42792\n67058 100000\n6591 9854\n88456 100000\n71318 100000\n5298 7951\n71536 100000\n33014 49357\n48668 72885\n85868 100000\n60021 90032\n23390 34974\n98718 100000\n75954 100000\n96585 100000\n2640 3978\n63907 95849\n57368 86023\n68859 100000\n19999 29899\n84713 100000\n45685 68379\n84969 100000\n27069 40454\n72523 100000\n76898 100000\n58981 88451\n35081 52442\n27189 40624\n87350 100000\n18748 28044\n94810 100000\n55218 82784\n87638 100000\n41659 62339\n30508 45603\n43862 65641\n1918 2886\n78715 100000\n33353 49858\n44137 66052\n36582 54695\n82507 100000\n11697 17539\n61151 91730\n9656 14479\n36204 54128\n13347 20003\n95261 100000\n10981 16469\n30315 45313\n2539 3828\n74445 100000\n36298 54269\n23959 35832\n94827 100000\n91801 100000\n20905 31248\n99130 100000\n15823 23689\n28047 41908\n71269 100000\n32722 48921\n16678 24946\n30598 45731\n71106 100000\n67826 100000\n3769 5665\n13074 19594\n81666 100000\n34906 52182\n34968 52273\n74442 100000\n74020 100000\n72881 100000\n6084 9111\n51937 77836\n89282 100000\n73758 100000\n55797 83647\n83724 100000\n19708 29465\n7496 11230\n9313 13975\n860 1310\n34624 51768\n56650 84924\n36308 54283\n36589 54705\n1039 1588\n71642 100000\n60850 91277\n83923 100000\n29521 44098\n79012 100000\n6036 9036\n66791 100000\n383 577\n98219 100000\n1844 2774\n40447 60533\n32221 48186\n66380 99586\n88577 100000\n65556 98334\n85115 100000\n31214 46668\n25196 37642\n4088 6155\n24260 36280\n70387 100000\n91472 100000\n80679 100000\n48730 72978\n80005 100000\n60066 90097\n70445 100000\n41166 61615\n56070 84054\n17659 26422\n59247 88847\n79386 100000\n74196 100000\n27882 41661\n6262 9370\n39069 58466\n80293 100000\n26532 39659\n85134 100000\n62906 94367\n48124 72071\n64091 96125\n73896 100000\n77802 100000\n25305 37804\n28917 43209\n39295 58815\n34818 52053\n29024 43370\n9326 13994\n23621 35320\n92939 100000\n61096 91641\n99277 100000\n77640 100000\n58597 87889\n38580 57727\n26314 39336\n65275 97908\n67456 100000\n93636 100000\n65671 98507\n32625 48782\n94397 100000\n33595 50219\n69078 100000\n29312 43787\n61521 92292\n25084 37474\n55636 83405\n22463 33577\n4254 6400\n41271 61771\n838 1271\n13704 20524\n35355 52855\n76857 100000\n22502 33634\n94995 100000\n2674 4030\n20087 30036\n98371 100000\n31017 46374\n26980 40319\n65566 98348\n47663 71374\n24237 36244\n76739 100000\n28365 42386\n56628 84890\n8399 12573\n70605 100000\n67757 100000\n82435 100000\n48654 72864\n52958 79371\n72708 100000\n78774 100000\n65130 97686\n9315 13977\n59904 89847\n54782 82130\n16148 24182\n42305 63303\n32329 48347\n96128 100000\n59306 88939\n13162 19721\n85064 100000\n81556 100000\n9192 13793\n67735 100000\n38574 57718\n58796 88181\n15977 23922\n52556 78779\n53953 80874\n64421 96611\n88771 100000\n60880 91323\n3863 5817\n71918 100000\n30150 45057\n79989 100000\n21729 32487\n2865 4318\n65188 97776\n73 112\n95632 100000\n87422 100000\n3686 5542\n70765 100000\n14359 21507\n69893 100000\n23654 35368\n71662 100000\n79324 100000\n11117 16664\n22027 32923\n52267 78339\n69876 100000\n14824 22191\n67007 100000\n44479 66564\n56648 84921\n94534 100000\n27288 40771\n49145 73612\n70943 100000\n53356 79964\n23702 35440\n99020 100000\n63976 95960\n61893 92854\n75156 100000\n99520 100000\n30959 46282\n81031 100000\n90663 100000\n90865 100000\n8057 12063\n72240 100000\n27179 40611\n8825 13225\n24392 36462\n1849 2782\n39494 59108\n40616 60789\n33411 49941\n24434 36524\n22779 34062\n88990 100000\n93965 100000\n25265 37749\n83391 100000\n67291 100000\n80547 100000\n31548 47174\n55190 82748\n85113 100000\n56449 84625\n39170 58616\n68716 100000\n4267 6418\n12847 19259\n55633 83401\n98375 100000\n29308 43780\n15423 23093\n20791 31085\n54826 82196\n55361 82994\n64643 96957\n30168 45085\n38238 57202\n3436 5172\n44238 66202\n36654 54798\n13514 20250\n89400 100000\n74258 100000\n90722 100000\n12742 19103\n96303 100000\n51919 77808\n54096 81093\n91599 100000\n44385 66425\n68948 100000\n30362 45384\n62278 93443\n17893 26773\n40747 60980\n41620 62279\n73776 100000\n48106 72043\n47118 70548\n7206 10785\n57966 86941\n57884 86816\n63025 94540\n75993 100000\n61173 91769\n8053 12057\n16025 23999\n54250 81324\n9202 13810\n69167 100000\n6727 10064\n51185 76682\n43917 65730\n4810 7234\n18745 28041\n13101 19632\n74661 100000\n74871 100000\n75755 100000\n95459 100000\n41017 61393\n6999 10470\n4818 7247\n91622 100000\n14744 22073\n11540 17302\n96391 100000\n91824 100000\n47553 71217\n2673 4029\n76192 100000\n87449 100000\n17598 26326\n52354 78469\n88974 100000\n70938 100000\n95605 100000\n20874 31203\n37569 56172\n28064 41934\n95795 100000\n69453 100000\n57062 85549\n56608 84863\n40647 60835\n73952 100000\n94669 100000\n53882 80766\n83254 100000\n81003 100000\n26682 39873\n93684 100000\n61817 92734\n17872 26741\n58582 87865\n65539 98309\n53311 79895\n77865 100000\n57672 86489\n11851 17768\n44317 66324\n16247 24328\n42268 63243\n79025 100000\n13779 20637\n59836 89744\n72121 100000\n77969 100000\n35496 53064\n16240 24317\n65871 98806\n55328 82945\n54789 82141\n3534 5320\n94683 100000\n43198 64632\n97758 100000\n47556 71221\n68980 100000\n92988 100000\n52890 79267\n21440 32053\n93710 100000\n44808 67049\n16625 24871\n1930 2904\n19164 28655\n65147 97710\n69037 100000\n75385 100000\n32830 49085\n24791 37046\n29326 43808\n86325 100000\n53152 79660\n51020 76438\n86548 100000\n48351 72408\n64141 96202\n19342 28919\n4611 6935\n99163 100000\n20813 31118\n37154 55558\n5245 7877\n92870 100000\n1904 2866\n13813 20689\n75344 100000\n6322 9465\n2835 4274\n71291 100000\n74558 100000\n40724 60945\n63698 95542\n37496 56063\n56111 84114\n51360 76956\n20116 30081\n59572 89350\n46772 70028\n39642 59333\n15337 22961\n50955 76341\n59516 89264\n67923 100000\n69631 100000\n37332 55821\n43279 64755\n18766 28072\n82293 100000\n93111 100000\n56377 84517\n71699 100000\n2960 4459\n75591 100000\n32438 48502\n88770 100000\n67694 100000\n89855 100000\n87268 100000\n36782 54983\n12574 18852\n79511 100000\n50044 74972\n44378 66416\n2940 4426\n38051 56912\n57021 85483\n66189 99303\n45727 68443\n81577 100000\n38478 57568\n76562 100000\n38643 57826\n94375 100000\n80929 100000\n20081 30028\n44705 66900\n45177 67612\n17852 26708\n2304 3474\n21941 32796\n737 1124\n81263 100000\n85951 100000\n59284 88903\n16827 25163\n32233 48204\n79239 100000\n14887 22290\n66770 100000\n54290 81378\n51505 77174\n71628 100000\n1591 2410\n41559 62189\n33795 50503\n38630 57807\n492 743\n19405 29018\n87522 100000\n41243 61732\n28941 43242\n53830 80683\n73898 100000\n48863 73175\n42200 63137\n34433 51466\n92264 100000\n70393 100000\n94399 100000\n85982 100000\n52795 79133\n57633 86433\n55775 83618\n67574 100000\n67294 100000\n28128 42028\n16319 24430\n89036 100000\n85612 100000\n10750 16127\n10813 16218\n69353 100000\n83099 100000\n90048 100000\n59390 89069\n75252 100000\n67307 100000\n96772 100000\n54784 82133\n63102 94653\n6942 10380\n66221 99345\n54249 81322\n70095 100000\n13269 19882\n43775 65506\n88069 100000\n58056 87075\n72472 100000\n48560 72719\n73366 100000\n79566 100000\n89971 100000\n22240 33232\n82753 100000\n544 826\n57416 86096\n32803 49048\n35795 53512\n92879 100000\n54457 81634\n33068 49441\n326 487\n70949 100000\n73554 100000\n47391 70970\n38499 57599\n61981 92985\n74949 100000\n76168 100000\n2027 3052\n45662 68344\n71504 100000\n20337 30414\n7975 11943\n25731 38441\n21753 32525\n52688 78973\n94449 100000\n10959 16436\n98537 100000\n99440 100000\n91060 100000\n53686 80479\n33655 50298\n67483 100000\n87685 100000\n57348 85994\n15109 22618\n35453 53000\n21717 32468\n33556 50159\n72649 100000\n17091 25566\n44508 66611\n38810 58073\n19974 29863\n30528 45631\n75851 100000\n91537 100000\n48703 72937\n86919 100000\n64012 96009\n84722 100000\n21531 32193\n46720 69953\n62342 93538\n15403 23059\n70790 100000\n58799 88186\n5521 8278\n19859 29689\n24572 36724\n84112 100000\n15073 22566\n19078 28523\n98398 100000\n40437 60518\n44653 66826\n42846 64105\n44778 67009\n8208 12289\n84008 100000\n57619 86411\n17817 26650\n83971 100000\n38452 57529\n83489 100000\n9474 14215\n26014 38871\n77036 100000\n98243 100000\n1803 2712\n99070 100000\n93861 100000\n51415 77043\n80599 100000\n52080 78053\n95574 100000\n56061 84041\n75684 100000\n54244 81314\n18670 27927\n42417 63473\n62617 93930\n29068 43430\n10463 15695\n27300 40792\n43130 64533\n53027 79468\n67433 100000\n42407 63457\n61082 91622\n53929 80838\n51471 77121\n81440 100000\n61848 92782\n53817 80666\n86785 100000\n42505 63596\n20978 31359\n55720 83533\n78842 100000\n90687 100000\n49139 73604\n48920 73262\n79273 100000\n15167 22705\n17794 26617\n73570 100000\n65434 98147\n74547 100000\n79463 100000\n71147 100000\n13873 20776\n46338 69369\n61857 92796\n30482 45564\n43135 64539\n98821 100000\n81421 100000\n99243 100000\n19149 28634\n3040 4579\n91349 100000\n24695 36904\n35472 53027\n2101 3169\n30837 46102\n11154 16716\n28110 42002\n31596 47246\n55753 83585\n30355 45371\n20959 31330\n76755 100000\n68516 100000\n89196 100000\n47578 71255\n99432 100000\n37186 55607\n16987 25409\n1841 2769\n56226 84280\n38597 57752\n83199 100000\n16471 24643\n25368 37903\n53406 80041\n13153 19709\n62205 93334\n40503 60619\n26584 39735\n96619 100000\n98703 100000\n7906 11837\n27705 41388\n35947 53736\n13055 19568\n34942 52238\n13149 19703\n12809 19201\n26388 39445\n52982 79408\n53220 79757\n28771 42986\n5235 7862\n91682 100000\n84814 100000\n58445 87665\n41123 61550\n96973 100000\n43875 65663\n5672 8499\n35676 53333\n47841 71645\n85477 100000\n46741 69982\n37313 55791\n89671 100000\n1964 2954\n39919 59748\n76998 100000\n58937 88390\n29683 44356\n54557 81783\n64290 96421\n29851 44612\n47168 70626\n66710 100000\n24842 37121\n43208 64652\n82539 100000\n85623 100000\n43588 65224\n23392 34977\n950 1449\n17632 26380\n15569 23315\n66804 100000\n53342 79942\n33799 50509\n57287 85906\n79388 100000\n26110 39019\n32690 48875\n64505 96741\n2177 3280\n49038 73442\n21140 31605\n27913 41708\n79407 100000\n50873 76211\n64144 96207\n32029 47898\n65163 97736\n37473 56030\n84037 100000\n60952 91426\n40931 61259\n58805 88194\n12082 18126\n91513 100000\n16178 24224\n78467 100000\n46858 70162\n1128 1725\n81957 100000\n85432 100000\n67254 100000\n73223 100000\n41466 62055\n10307 15467\n94349 100000\n54650 81929\n44188 66130\n36049 53891\n34738 51937\n79338 100000\n46764 70016\n67418 100000\n54337 81451\n29750 44459\n98653 100000\n71716 100000\n53816 80665\n81215 100000\n815 1238\n37643 56286\n89961 100000\n76245 100000\n8430 12616\n45383 67922\n18108 27099\n96520 100000\n11734 17591\n99473 100000\n90667 100000\n96110 100000\n7279 10896\n93091 100000\n4188 6305\n97967 100000\n53822 80672\n66943 100000\n75719 100000\n76039 100000\n78443 100000\n53833 80688\n14898 22308\n16062 24053\n57308 85937\n76128 100000\n75965 100000\n97884 100000\n91967 100000\n75651 100000\n50592 75803\n2046 3083\n99208 100000\n39847 59641\n60345 90521\n38079 56955\n43979 65817\n63245 94866\n53014 79451\n86450 100000\n86822 100000\n77987 100000\n26214 39182\n44645 66815\n66471 99733\n78102 100000\n48712 72951\n54910 82324\n94701 100000\n21183 31671\n693 1051\n25843 38613\n93096 100000\n4369 6567\n99954 100000\n29189 43609\n46970 70322\n81955 100000\n58562 87840\n3012 4539\n54564 81793\n10438 15658\n58933 88384\n80492 100000\n57369 86025\n91212 100000\n89614 100000\n28457 42515\n11438 17151\n81315 100000\n31133 46550\n62861 94296\n57214 85788\n80867 100000\n23006 34393\n8693 13023\n37894 56674\n29223 43660\n22818 34116\n92387 100000\n32354 48381\n15622 23396\n29784 44510\n82531 100000\n22997 34379\n20788 31082\n66457 99708\n3025 4559\n99087 100000\n19040 28466\n71330 100000\n57146 85681\n79859 100000\n20422 30546\n77758 100000\n62267 93427\n80995 100000\n14928 22353\n38792 58042\n91049 100000\n35368 52872\n20649 30880\n12769 19143\n13442 20143\n97741 100000\n84739 100000\n68995 100000\n23871 35698\n32584 48721\n82569 100000\n86107 100000\n4396 6606\n3826 5757\n95118 100000\n462 698\n293 440\n65588 98379\n20204 30208\n2892 4361\n22290 33309\n61843 92775\n60282 90427\n8906 13348\n74855 100000\n28346 42362\n14992 22443\n72609 100000\n92589 100000\n22129 33075\n90993 100000\n19590 29288\n75553 100000\n89447 100000\n25143 37561\n47704 71438\n63514 95261\n93173 100000\n52905 79288\n71304 100000\n57575 86342\n58548 87819\n26220 39189\n89949 100000\n74383 100000\n49862 74705\n84596 100000\n55119 82645\n7610 11392\n72511 100000\n89583 100000\n46207 69169\n128 193\n41054 61447\n16754 25060\n57469 86180\n82434 100000\n48669 72887\n72425 100000\n38151 57064\n44284 66272\n3845 5785\n82314 100000\n46775 70032\n49667 74412\n61703 92562\n29916 44712\n2580 3888\n8568 12822\n36330 54319\n5383 8077\n70602 100000\n87675 100000\n90507 100000\n47891 71723\n78489 100000\n70170 100000\n56797 85140\n21116 31571\n85886 100000\n25404 37962\n88726 100000\n33916 50681\n42608 63749\n49009 73396\n64331 96485\n71759 100000\n98631 100000\n23176 34651\n43199 64634\n56565 84796\n59720 89573\n40085 59990\n5712 8558\n8615 12897\n54398 81542\n77564 100000\n29294 43763\n14836 22211\n12774 19151\n15013 22473\n3466 5222\n1123 1717\n28518 42598\n15278 22874\n7673 11487\n50659 75895\n66381 99588\n89698 100000\n28872 43143\n45765 68502\n30222 45169\n17525 26218\n34666 51829\n8187 12258\n7285 10905\n92881 100000\n6228 9321\n93342 100000\n46606 69780\n39609 59281\n67745 100000\n33208 49648\n97169 100000\n25099 37497\n23189 34672\n9089 13636\n59256 88860\n47979 71857\n34834 52078\n27358 40874\n8014 11996\n5099 7658\n94855 100000\n85047 100000\n19987 29882\n8765 13133\n43690 65379\n29339 43825\n49758 74549\n99419 100000\n42584 63714\n97525 100000\n54151 81178\n26157 39092\n242 367\n86926 100000\n70607 100000\n33357 49863\n9728 14593\n3775 5674\n50902 76258\n39694 59412\n39747 59492\n89617 100000\n74252 100000\n83698 100000\n72189 100000\n1158 1771\n86037 100000\n34100 50967\n38400 57447\n47797 71580\n26177 39123\n19366 28951\n1732 2610\n92602 100000\n51639 77376\n2503 3775\n95634 100000\n31135 46552\n81828 100000\n709 1076\n5656 8478\n47778 71554\n46521 69655\n85919 100000\n56361 84493\n60906 91363\n68537 100000\n24450 36547\n52079 78051\n19384 28982\n96081 100000\n86834 100000\n3959 5967\n10430 15650\n52143 78151\n94310 100000\n75641 100000\n73281 100000\n60047 90072\n79664 100000\n77416 100000\n70375 100000\n97845 100000\n53560 80282\n25636 38292\n85618 100000\n79008 100000\n17443 26096\n17445 26098\n60689 91034\n46000 68861\n21825 32633\n52042 77993\n67890 100000\n55206 82768\n19677 29420\n72312 100000\n99560 100000\n41560 62191\n84791 100000\n17299 25887\n84988 100000\n38281 57266\n51549 77241\n27034 40398\n13006 19495\n67015 100000\n27583 41211\n68660 100000\n10152 15228\n43467 65036\n95158 100000\n46834 70127\n3680 5530\n57708 86545\n87314 100000\n98282 100000\n62510 93770\n86615 100000\n27580 41207\n770 1174\n46836 70129\n75216 100000\n50430 75552\n64487 96711\n17609 26342\n76532 100000\n52892 79269\n75578 100000\n54556 81782\n15153 22682\n51445 77084\n55212 82777\n22960 34324\n39075 58473\n81385 100000\n57295 85916\n39485 59093\n53353 79958\n74366 100000\n53827 80680\n19250 28784\n7417 11103\n99526 100000\n52802 79143\n58345 87515\n62755 94134\n56496 84696\n89747 100000\n53337 79934\n36599 54720\n27036 40401\n80766 100000\n93686 100000\n63322 94984\n93814 100000\n71559 100000\n96565 100000\n87063 100000\n72872 100000\n17517 26208\n85640 100000\n85794 100000\n5279 7924\n70833 100000\n10077 15119\n74783 100000\n99034 100000\n56006 83958\n54630 81896\n12318 18476\n18346 27449\n89794 100000\n49448 74083\n56574 84810\n32537 48652\n55741 83569\n87378 100000\n40485 60590\n84696 100000\n17195 25729\n22685 33917\n88426 100000\n94717 100000\n13613 20396\n71324 100000\n51743 77535\n82563 100000\n54418 81573\n4125 6207\n57128 85650\n17433 26083\n41906 62696\n53259 79813\n25044 37409\n30590 45720\n92357 100000\n27743 41452\n8567 12820\n6448 9643\n73364 100000\n23062 34481\n15287 22889\n64551 96815\n55621 83385\n70648 100000\n82656 100000\n95567 100000\n20704 30960\n4333 6513\n66194 99310\n48932 73281\n97160 100000\n26670 39856\n94899 100000\n71345 100000\n27533 41136\n98557 100000\n14761 22094\n31310 46816\n71816 100000\n86521 100000\n36172 54079\n87819 100000\n10300 15459\n96711 100000\n36463 54521\n3770 5666\n34819 52055\n36484 54550\n36620 54749\n4851 7297\n24724 36951\n13238 19835\n856 1303\n6988 10453\n16627 24874\n55568 83301\n52541 78752\n6949 10389\n88251 100000\n59215 88802\n37130 55520\n91509 100000\n77898 100000\n27119 40528\n60991 91481\n13506 20238\n89110 100000\n79663 100000\n78655 100000\n88106 100000\n47639 71341\n97272 100000\n54397 81541\n32841 49099\n95376 100000\n8150 12204\n2052 3092\n69388 100000\n74174 100000\n76579 100000\n47758 71523\n72736 100000\n679 1034\n5326 7992\n34994 52314\n9807 14712\n30752 45978\n68283 100000\n66811 100000\n13316 19955\n75110 100000\n97803 100000\n76631 100000\n16152 24186\n56820 85173\n11130 16681\n79863 100000\n29938 44748\n5847 8753\n12852 19266\n56335 84453\n46776 70033\n88405 100000\n48878 73196\n10549 15827\n61856 92794\n90584 100000\n61041 91559\n1600 2424\n72314 100000\n77839 100000\n6040 9042\n81022 100000\n88430 100000\n16028 24003\n11886 17823\n90393 100000\n55679 83471\n81521 100000\n90583 100000\n82176 100000\n44182 66121\n5310 7968\n82465 100000\n98646 100000\n23793 35580\n17373 25994\n60332 90502\n24335 36387\n33462 50022\n35178 52584\n97724 100000\n65682 98523\n48359 72419\n10338 15511\n59126 88664\n93416 100000\n91163 100000\n91015 100000\n19445 29079\n57560 86320\n88484 100000\n40624 60802\n87972 100000\n45066 67440\n6295 9419\n95857 100000\n10222 15339\n40221 60195\n14041 21028\n89402 100000\n59009 88494\n74570 100000\n55098 82613\n45860 68646\n86142 100000\n67800 100000\n70211 100000\n68891 100000\n593 902\n30360 45381\n45462 68045\n73819 100000\n86381 100000\n17980 26910\n79769 100000\n70733 100000\n1323 2007\n27257 40724\n46415 69488\n61181 91780\n46786 70051\n12732 19087\n73560 100000\n56236 84295\n83757 100000\n64614 96914\n13846 20737\n68194 100000\n10871 16300\n86122 100000\n57565 86325\n4044 6093\n11877 17808\n57381 86041\n41553 62182\n70292 100000\n6202 9282\n88175 100000\n39663 59367\n8250 12347\n64521 96767\n25184 37624\n96579 100000\n25871 38654\n84322 100000\n90177 100000\n53515 80214\n28483 42548\n82452 100000\n51638 77375\n16993 25417\n93493 100000\n91275 100000\n76262 100000\n55280 82879\n63739 95602\n31671 47370\n88859 100000\n70131 100000\n41100 61515\n86337 100000\n52910 79296\n22935 34290\n33738 50424\n29004 43341\n74137 100000\n87618 100000\n39456 59051\n43169 64588\n99528 100000\n15195 22747\n56497 84698\n52697 78989\n70119 100000\n98217 100000\n65157 97727\n623 948\n62432 93659\n71093 100000\n77311 100000\n76496 100000\n41335 61873\n14293 21415\n49994 74895\n24493 36608\n5241 7871\n13463 20175\n25244 37712\n51798 77630\n53032 79476\n69564 100000\n73081 100000\n34672 51838\n74400 100000\n88276 100000\n56670 84953\n49321 73885\n14241 21334\n13134 19683\n91134 100000\n62848 94275\n9486 14229\n33554 50155\n71983 100000\n146 219\n6090 9121\n84086 100000\n60289 90436\n71756 100000\n97467 100000\n38252 57223\n51461 77107\n43295 64781\n54353 81475\n49583 74289\n96668 100000\n58292 87431\n14978 22423\n68984 100000\n42449 63516\n53956 80878\n5793 8674\n76242 100000\n37616 56243\n93441 100000\n91972 100000\n76814 100000\n96631 100000\n51002 76410\n89410 100000\n53222 79761\n30726 45935\n15621 23394\n58475 87709\n65540 98311\n48469 72579\n45335 67853\n7865 11774\n3110 4690\n90843 100000\n38923 58243\n7202 10779\n95005 100000\n40001 59863\n35529 53113\n82315 100000\n32099 48000\n22924 34275\n62297 93468\n23405 34996\n55151 82692\n29416 43938\n77616 100000\n41056 61451\n14101 21119\n95745 100000\n41978 62799\n8402 12578\n33630 50264\n43674 65356\n81979 100000\n84639 100000\n67834 100000\n80933 100000\n57209 85781\n9383 14072\n46069 68963\n9551 14319\n91683 100000\n39528 59158\n92315 100000\n44379 66417\n8266 12372\n28057 41922\n32539 48655\n13845 20735\n53473 80145\n75358 100000\n90106 100000\n87894 100000\n99892 100000\n98895 100000\n64623 96928\n38476 57566\n90162 100000\n18655 27903\n17179 25702\n91728 100000\n88438 100000\n96665 100000\n35192 52606\n78310 100000\n49532 74209\n4979 7481\n17417 26061\n85445 100000\n85783 100000\n59877 89807\n65195 97788\n57228 85811\n81108 100000\n1330 2018\n78243 100000\n70193 100000\n30566 45685\n13897 20810\n1828 2751\n61485 92236\n32721 48920\n64279 96406\n60476 90723\n14536 21773\n33725 50405\n78718 100000\n38797 58051\n15970 23913\n7921 11859\n13364 20029\n48357 72417\n61943 92927\n32892 49176\n81155 100000\n43098 64481\n57436 86128\n98945 100000\n63864 95784\n96680 100000\n83639 100000\n76227 100000\n52838 79193\n97991 100000\n18429 27578\n18036 26996\n47019 70395\n26946 40266\n78515 100000\n65591 98384\n6716 10048\n26599 39759\n21706 32453\n36928 55208\n43921 65737\n52098 78081\n18198 27229\n35769 53473\n22931 34283\n18918 28298\n759 1159\n82094 100000\n27204 40647\n25095 37491\n30569 45689\n85338 100000\n97362 100000\n72436 100000\n30597 45729\n7695 11520\n53619 80373\n32463 48537\n3847 5789\n62538 93812\n43954 65782\n1488 2253\n43277 64752\n65772 98662\n49024 73419\n15192 22742\n56067 84050\n28517 42596\n57894 86834\n83861 100000\n62990 94489\n51578 77284\n26886 40175\n47944 71801\n78768 100000\n63153 94727\n54976 82426\n32434 48497\n44710 66907\n80738 100000\n40274 60266\n15336 22959\n25091 37485\n69824 100000\n13360 20024\n85024 100000\n12827 19230\n8097 12123\n2918 4395\n81412 100000\n82369 100000\n6745 10090\n81566 100000\n29347 43837\n8260 12362\n5035 7565\n79041 100000\n10109 15165\n73188 100000\n79500 100000\n26322 39349\n57289 85909\n41809 62554\n36674 54824\n97478 100000\n50454 75592\n69623 100000\n42752 63969\n9702 14553\n84028 100000\n71245 100000\n22426 33518\n63011 94520\n60415 90621\n95798 100000\n9103 13658\n61307 91978\n4805 7227\n1639 2481\n36580 54693\n90046 100000\n38046 56904\n5167 7760\n63481 95217\n49027 73424\n54662 81947\n71804 100000\n12897 19334\n94764 100000\n51986 77911\n68544 100000\n9648 14465\n6906 10327\n91793 100000\n68863 100000\n21721 32473\n14248 21346\n91883 100000\n39302 58825\n52124 78122\n65981 98976\n99405 100000\n22448 33554\n7370 11034\n79078 100000\n88918 100000\n68530 100000\n60500 90756\n75705 100000\n46197 69154\n31433 47000\n21390 31974\n95284 100000\n61677 92522\n54531 81742\n51200 76706\n52061 78024\n55578 83317\n42007 62843\n6451 9646\n68100 100000\n39140 58569\n70075 100000\n8461 12665\n4867 7320\n56262 84332\n68357 100000\n93933 100000\n12568 18842\n75507 100000\n83945 100000\n50094 75045\n98059 100000\n37268 55729\n5378 8068\n25662 38334\n27199 40640\n46702 69926\n40042 59925\n63347 95025\n8755 13120\n64749 97115\n82483 100000\n88227 100000\n86505 100000\n23364 34937\n24085 36021\n60793 91191\n36792 54999\n77226 100000\n24983 37323\n6825 10211\n42902 64197\n72167 100000\n96423 100000\n96934 100000\n69302 100000\n22277 33289\n53655 80432\n70015 100000\n72840 100000\n67292 100000\n64406 96590\n66312 99485\n37946 56749\n84142 100000\n37391 55908\n62739 94109\n92203 100000\n89717 100000\n66827 100000\n78295 100000\n16367 24496\n67187 100000\n23027 34428\n22036 32934\n30405 45448\n29310 43783\n9052 13580\n14335 21473\n89988 100000\n93059 100000\n80472 100000\n86972 100000\n33349 49853\n39795 59565\n32277 48267\n77534 100000\n94415 100000\n41189 61653\n45125 67531\n51511 77183\n38058 56921\n52190 78213\n71437 100000\n16775 25091\n76324 100000\n42 58\n11757 17626\n91473 100000\n25234 37698\n23051 34468\n48685 72911\n9479 14220\n17913 26804\n89062 100000\n1523 2308\n71427 100000\n8481 12694\n53514 80212\n52140 78147\n395 594\n52933 79330\n24052 35975\n26350 39389\n7532 11283\n70453 100000\n1797 2704\n54228 81289\n72866 100000\n39752 59498\n64945 97405\n76323 100000\n20647 30876\n8609 12886\n7943 11896\n15011 22470\n35186 52596\n29405 43923\n26443 39525\n60447 90677\n210 319\n40509 60626\n50531 75709\n9644 14459\n96257 100000\n44642 66812\n31362 46891\n51119 76588\n13690 20503\n70162 100000\n9936 14903\n53919 80823\n60182 90276\n15104 22610\n18524 27717\n82812 100000\n40387 60445\n40797 61059\n21923 32771\n15784 23637\n66881 100000\n27220 40668\n72225 100000\n87127 100000\n20342 30421\n96553 100000\n46672 69883\n36482 54547\n78076 100000\n76834 100000\n56625 84885\n1859 2797\n77792 100000\n79452 100000\n99389 100000\n1907 2871\n58721 88075\n59005 88488\n16038 24016\n11067 16591\n11309 16955\n5293 7944\n56512 84721\n12657 18975\n55272 82867\n71202 100000\n88849 100000\n83750 100000\n28001 41837\n22612 33806\n35044 52388\n37495 56061\n51871 77736\n3717 5591\n54682 81976\n38152 57066\n47956 71820\n87409 100000\n60785 91180\n53474 80147\n40325 60346\n66504 99779\n47966 71835\n44882 67158\n9463 14198\n15552 23287\n15384 23029\n72978 100000\n25676 38357\n51539 77225\n98098 100000\n59090 88609\n80261 100000\n26638 39813\n23084 34518\n75865 100000\n68222 100000\n43543 65152\n6570 9818\n97448 100000\n31611 47271\n65034 97539\n75234 100000\n39250 58751\n50744 76016\n23931 35793\n92062 100000\n4714 7089\n82458 100000\n30670 45845\n82255 100000\n11755 17623\n41116 61541\n88097 100000\n84034 100000\n29093 43469\n10961 16439\n48192 72169\n23246 34762\n75452 100000\n53529 80234\n24896 37204\n8491 12711\n23181 34661\n46582 69744\n65094 97627\n98627 100000\n95592 100000\n34231 51166\n38507 57610\n19678 29421\n3735 5618\n32205 48165\n35006 52331\n55570 83304\n71663 100000\n73535 100000\n8714 13056\n8697 13030\n8252 12349\n5142 7717\n91100 100000\n8654 12961\n85871 100000\n68668 100000\n95501 100000\n13326 19968\n79648 100000\n42594 63729\n78156 100000\n47537 71193\n12853 19267\n7613 11397\n82798 100000\n90776 100000\n77368 100000\n78184 100000\n22302 33327\n13221 19810\n2190 3303\n14588 21843\n77220 100000\n60164 90246\n2624 3958\n38955 58294\n97077 100000\n2048 3086\n8432 12619\n42791 64025\n95197 100000\n63796 95685\n41265 61761\n57648 86454\n11225 16828\n44235 66197\n99744 100000\n60595 90894\n36966 55266\n59298 88925\n15949 23879\n6114 9156\n82620 100000\n91800 100000\n28293 42281\n37062 55419\n40374 60423\n8647 12949\n69041 100000\n10171 15257\n58217 87314\n67471 100000\n74449 100000\n11557 17325\n65081 97610\n85874 100000\n99393 100000\n80276 100000\n90654 100000\n71769 100000\n96413 100000\n73518 100000\n4508 6776\n67183 100000\n71986 100000\n56161 84193\n20223 30243\n49786 74591\n22653 33871\n22743 34009\n1108 1694\n86509 100000\n65057 97575\n24478 36586\n70756 100000\n95543 100000\n84405 100000\n59424 89125\n51022 76440\n95923 100000\n49761 74554\n90020 100000\n51396 77013\n14515 21741\n30574 45697\n98924 100000\n42651 63818\n95356 100000\n57990 86979\n36722 54896\n89761 100000\n82800 100000\n52689 78975\n49835 74662\n16763 25073\n77087 100000\n25804 38550\n54070 81055\n20775 31063\n78575 100000\n94103 100000\n69579 100000\n91459 100000\n12958 19425\n85142 100000\n45690 68387\n99516 100000\n69774 100000\n96070 100000\n92157 100000\n69741 100000\n51773 77585\n45803 68559\n43672 65352\n83279 100000\n16079 24081\n78420 100000\n51557 77252\n38166 57088\n86288 100000\n64755 97125\n2791 4209\n70541 100000\n81368 100000\n69823 100000\n27244 40705\n71585 100000\n80249 100000\n47737 71489\n95527 100000\n2399 3620\n28627 42766\n10894 16337\n12995 19479\n78966 100000\n8366 12522\n21295 31832\n62457 93693\n31460 47038\n9305 13961\n95295 100000\n23261 34784\n76222 100000\n43217 64665\n99670 100000\n56382 84525\n35590 53203\n95666 100000\n42939 64248\n89947 100000\n3418 5148\n7689 11510\n90700 100000\n31532 47152\n90916 100000\n50114 75077\n69874 100000\n23452 35075\n50216 75234\n63996 95986\n56103 84102\n8074 12090\n91931 100000\n66771 100000\n67321 100000\n8773 13146\n96173 100000\n78039 100000\n17941 26852\n65391 98083\n73314 100000\n49507 74169\n5216 7834\n70522 100000\n26374 39423\n73332 100000\n40860 61152\n90971 100000\n77571 100000\n76985 100000\n61083 91623\n16057 24045\n82136 100000\n1969 2963\n17558 26265\n93683 100000\n54155 81184\n85082 100000\n10122 15182\n27633 41291\n95787 100000\n66159 99252\n81683 100000\n73680 100000\n47488 71114\n30579 45704\n6340 9491\n94227 100000\n84129 100000\n45881 68681\n50341 75425\n22750 34020\n65790 98688\n86159 100000\n11280 16913\n78808 100000\n14659 21941\n89986 100000\n45559 68191\n53564 80288\n45141 67555\n76052 100000\n31597 47248\n24985 37326\n91266 100000\n16944 25344\n83238 100000\n28252 42223\n93540 100000\n11835 17741\n35380 52888\n53423 80069\n40552 60692\n12583 18867\n68288 100000\n3636 5461\n30612 45756\n39799 59570\n41885 62664\n28631 42772\n3396 5112\n3777 5678\n91579 100000\n67023 100000\n37476 56035\n53485 80166\n5959 8920\n84759 100000\n40166 60112\n98048 100000\n88962 100000\n20067 30005\n63325 94989\n79835 100000\n20856 31178\n27025 40385\n63858 95774\n90373 100000\n73540 100000\n72285 100000\n11524 17278\n4269 6420\n16730 25026\n75351 100000\n90637 100000\n91804 100000\n63355 95039\n414 622\n78584 100000\n82087 100000\n90874 100000\n77567 100000\n32885 49165\n1559 2360\n60804 91208\n63868 95792\n20557 30747\n14950 22384\n45002 67342\n32489 48575\n38126 57025\n65989 98988\n34068 50918\n58982 88452\n72339 100000\n72156 100000\n8038 12034\n86152 100000\n52930 79325\n88007 100000\n1302 1977\n92075 100000\n77192 100000\n15927 23846\n50157 75143\n7080 10589\n76279 100000\n33968 50765\n84678 100000\n15678 23483\n879 1340\n83739 100000\n71675 100000\n9516 14272\n48797 73074\n89098 100000\n40178 60130\n44812 67055\n66227 99353\n88043 100000\n55874 83758\n27538 41143\n47580 71257\n38521 57634\n35500 53071\n62709 94062\n63906 95848\n99570 100000\n88668 100000\n24504 36623\n39738 59480\n71829 100000\n78638 100000\n81299 100000\n7963 11924\n41680 62372\n69811 100000\n37768 56476\n26649 39828\n31808 47561\n88963 100000\n39445 59036\n11507 17255\n6692 10012\n3249 4898\n53441 80097\n98070 100000\n3738 5622\n29414 43935\n72244 100000\n55085 82593\n47364 70926\n67327 100000\n61854 92791\n38612 57776\n76478 100000\n6426 9614\n89745 100000\n94453 100000\n75230 100000\n31924 47737\n41701 62396\n15774 23621\n68291 100000\n71220 100000\n21223 31729\n32978 49303\n24350 36409\n89534 100000\n33614 50245\n92023 100000\n32106 48011\n41785 62517\n14899 22309\n83002 100000\n26876 40160\n77443 100000\n33039 49395\n79896 100000\n81130 100000\n64552 96817\n35457 53007\n24528 36658\n24928 37250\n34443 51484\n88367 100000\n15934 23859\n15163 22697\n86087 100000\n47818 71613\n94285 100000\n36840 55077\n41715 62415\n30689 45875\n29571 44172\n36231 54164\n86705 100000\n60980 91464\n84106 100000\n82679 100000\n38829 58100\n43952 65779\n87095 100000\n59334 88979\n11064 16587\n74312 100000\n63080 94619\n19019 28438\n53689 80483\n62921 94388\n34084 50945\n78685 100000\n13676 20482\n44925 67229\n9319 13983\n7627 11415\n95981 100000\n55112 82635\n197 298\n63805 95697\n11598 17388\n25167 37598\n89198 100000\n23351 34917\n82902 100000\n79616 100000\n19683 29428\n92126 100000\n60130 90197\n8457 12660\n53151 79659\n24900 37210\n34467 51522\n82733 100000\n48024 71920\n9862 14793\n15771 23618\n85426 100000\n42322 63330\n88549 100000\n5986 8959\n3617 5435\n25746 38462\n45347 67869\n3599 5409\n51074 76520\n48172 72143\n3490 5257\n50173 75165\n62553 93836\n72442 100000\n71893 100000\n20770 31056\n38225 57180\n65987 98985\n7066 10567\n83966 100000\n92447 100000\n274 414\n1517 2301\n61261 91910\n19885 29729\n73679 100000\n2927 4407\n48547 72700\n80880 100000\n19118 28587\n34995 52316\n59562 89338\n5203 7815\n78648 100000\n11944 17913\n46107 69020\n2975 4483\n78416 100000\n6832 10222\n96182 100000\n21647 32363\n142 212\n97336 100000\n34501 51580\n7153 10700\n27492 41075\n83356 100000\n53239 79784\n63814 95712\n21985 32860\n99746 100000\n72537 100000\n75350 100000\n51274 76820\n5292 7943\n96681 100000\n73905 100000\n70810 100000\n79034 100000\n48379 72446\n98039 100000\n67748 100000\n75184 100000\n3310 4983\n11320 16973\n4259 6407\n61014 91517\n14133 21165\n20995 31386\n79775 100000\n27502 41090\n93922 100000\n74012 100000\n88406 100000\n9836 14757\n24647 36839\n15123 22638\n94257 100000\n89093 100000\n22370 33430\n86181 100000\n56774 85103\n26600 39761\n63538 95298\n58136 87193\n87019 100000\n44743 66957\n51499 77164\n70224 100000\n92125 100000\n63381 95074\n37661 56314\n18192 27221\n99576 100000\n79268 100000\n32914 49211\n69821 100000\n74768 100000\n98623 100000\n64478 96697\n32412 48465\n28726 42918\n19649 29378\n70384 100000\n46070 68965\n32234 48205\n67216 100000\n22624 33824\n2450 3699\n28542 42636\n67004 100000\n35543 53131\n19209 28723\n89451 100000\n56934 85352\n35243 52681\n56333 84450\n17261 25827\n45804 68561\n37169 55580\n57908 86855\n58107 87154\n86938 100000\n38590 57742\n94160 100000\n28307 42300\n43432 64985\n97117 100000\n72216 100000\n39239 58731\n29939 44749\n2664 4015\n97324 100000\n24115 36066\n65578 98362\n35229 52660\n18178 27200\n92718 100000\n70766 100000\n71695 100000\n41757 62477\n80638 100000\n13331 19975\n46963 70312\n55749 83579\n43666 65343\n76176 100000\n94586 100000\n51325 76901\n34153 51047\n98749 100000\n20689 30937\n19521 29179\n20233 30259\n54505 81704\n1209 1841\n24581 36739\n37953 56757\n30743 45964\n32684 48868\n95255 100000\n17288 25867\n78972 100000\n67895 100000\n67896 100000\n74044 100000\n17115 25602\n82567 100000\n92427 100000\n45992 68850\n45953 68790\n80042 100000\n96466 100000\n98199 100000\n45539 68159\n59901 89843\n63789 95675\n51738 77528\n80683 100000\n58861 88278\n8170 12232\n69596 100000\n81999 100000\n44370 66404\n25164 37593\n55539 83255\n15971 23914\n79834 100000\n76849 100000\n31331 46844\n42696 63884\n78607 100000\n27758 41471\n12074 18115\n58608 87905\n35620 53247\n61587 92387\n54736 82060\n53694 80491\n44629 66795\n45023 67376\n93086 100000\n66219 99342\n378 567\n81070 100000\n73172 100000\n78703 100000\n2795 4216\n84070 100000\n75133 100000\n78367 100000\n16548 24760\n19004 28421\n57138 85668\n80316 100000\n33295 49771\n65553 98329\n31405 46955\n53041 79492\n96281 100000\n55088 82598\n22411 33494\n3189 4809\n39798 59569\n25970 38805\n6197 9273\n74708 100000\n12170 18250\n8473 12682\n80054 100000\n60719 91080\n38578 57724\n96896 100000\n1801 2710\n2345 3535\n52204 78235\n17838 26684\n53566 80291\n47538 71194\n64396 96578\n80557 100000\n42351 63375\n87396 100000\n16998 25425\n10584 15882\n65614 98422\n1172 1791\n28098 41985\n28203 42149\n28612 42741\n19054 28489\n3843 5783\n16979 25397\n9768 14657\n1322 2005\n82744 100000\n85163 100000\n35225 52654\n37096 55470\n12708 19049\n41327 61858\n50272 75316\n54083 81077\n62261 93417\n63506 95250\n15023 22489\n62985 94479\n58347 87518\n25228 37688\n62070 93126\n33418 49949\n76355 100000\n46455 69555\n18315 27402\n42233 63187\n90983 100000\n86738 100000\n89729 100000\n3725 5602\n45450 68025\n42761 63984\n86866 100000\n21734 32494\n18417 27561\n67857 100000\n42845 64104\n52417 78561\n27116 40523\n83409 100000\n71538 100000\n58228 87331\n59514 89262\n41776 62502\n95611 100000\n10475 15713\n4782 7196\n66081 99132\n64880 97308\n84479 100000\n35031 52368\n48615 72808\n9461 14195\n30899 46190\n49230 73746\n72726 100000\n32686 48870\n15981 23929\n25709 38408\n47762 71529\n64845 97255\n85198 100000\n20331 30405\n54150 81177\n21279 31809\n42372 63407\n9499 14248\n19316 28881\n3682 5534\n18286 27361\n53030 79472\n5708 8550\n41513 62124\n14868 22261\n61063 91592\n46494 69615\n51100 76560\n15488 23188\n21937 32791\n20095 30047\n92826 100000\n47894 71729\n55768 83609\n49775 74574\n64496 96727\n89691 100000\n90369 100000\n9809 14716\n60845 91271\n86062 100000\n31337 46854\n70416 100000\n306 460\n49492 74146\n40441 60524\n64838 97245\n38640 57821\n80975 100000\n98597 100000\n3146 4743\n65895 98841\n32997 49333\n37747 56448\n85235 100000\n44922 67223\n33615 50246\n80793 100000\n37129 55518\n77721 100000\n76500 100000\n43826 65587\n77982 100000\n77118 100000\n99578 100000\n60145 90220\n3339 5023\n77272 100000\n34268 51219\n68270 100000\n96627 100000\n56572 84808\n13131 19677\n89883 100000\n37338 55832\n42280 63262\n71168 100000\n29234 43678\n17637 26387\n74605 100000\n5906 8840\n18780 28093\n72439 100000\n18472 27639\n58130 87185\n12193 18289\n40281 60274\n66099 99159\n36267 54220\n59036 88527\n79059 100000\n87609 100000\n79332 100000\n29870 44640\n9832 14751\n82578 100000\n16193 24246\n5304 7959\n3487 5252\n95482 100000\n84818 100000\n53661 80441\n18260 27322\n74040 100000\n82316 100000\n13528 20271\n89178 100000\n13402 20084\n546 829\n20461 30604\n44220 66174\n75255 100000\n38825 58094\n47328 70865\n83444 100000\n40285 60280\n71661 100000\n48532 72677\n37559 56154\n49529 74206\n93280 100000\n36739 54922\n90818 100000\n79969 100000\n68466 100000\n70878 100000\n37576 56184\n92755 100000\n73608 100000\n92887 100000\n94691 100000\n51228 76750\n47860 71677\n79306 100000\n77587 100000\n22932 34284\n12039 18061\n78997 100000\n96003 100000\n83013 100000\n18261 27324\n85499 100000\n57144 85678\n34835 52079\n6653 9954\n21584 32270\n13450 20153\n79469 100000\n85132 100000\n25175 37609\n87779 100000\n70662 100000\n26566 39711\n36707 54868\n27685 41363\n87261 100000\n27173 40605\n78016 100000\n43940 65765\n51420 77049\n68397 100000\n42071 62942\n76993 100000\n86131 100000\n51106 76568\n12351 18524\n42731 63938\n43792 65535\n83277 100000\n77258 100000\n71567 100000\n28399 42429\n7538 11291\n66524 99815\n40523 60649\n36171 54077\n94354 100000\n20084 30032\n35602 53221\n12355 18529\n85735 100000\n64725 97079\n58394 87591\n83260 100000\n82144 100000\n1595 2416\n39768 59521\n44231 66190\n31485 47077\n28589 42705\n86022 100000\n61361 92060\n61055 91582\n57246 85840\n34381 51388\n71971 100000\n50874 76213\n65197 97792\n52449 78609\n41266 61762\n40845 61130\n55538 83253\n14603 21865\n2785 4202\n991 1515\n51756 77556\n47602 71286\n4224 6358\n76723 100000\n54335 81449\n5775 8651\n23393 34978\n35531 53115\n7945 11900\n91996 100000\n61977 92979\n2557 3853\n51953 77863\n19413 29031\n97332 100000\n56936 85356\n4521 6797\n16374 24506\n45155 67575\n51600 77319\n82042 100000\n63798 95687\n6007 8994\n79236 100000\n28811 43048\n34747 51953\n41365 61915\n87058 100000\n85247 100000\n76757 100000\n12194 18290\n23709 35451\n75811 100000\n89863 100000\n58010 87010\n12087 18132\n61808 92718\n41845 62603\n44930 67239\n30145 45050\n89199 100000\n11128 16679\n61009 91508\n76065 100000\n14461 21663\n39973 59823\n38607 57768\n62577 93872\n55079 82584\n99747 100000\n26462 39553\n36248 54189\n9476 14217\n76480 100000\n18449 27608\n89055 100000\n12685 19016\n95972 100000\n56990 85433\n66393 99609\n35688 53354\n66884 100000\n30316 45314\n2343 3532\n19154 28641\n82226 100000\n73169 100000\n92919 100000\n72818 100000\n24769 37016\n23473 35108\n11196 16786\n29003 43339\n34202 51122\n7437 11131\n17763 26572\n92071 100000\n87223 100000\n36085 53950\n96083 100000\n20729 30994\n85466 100000\n6780 10142\n83094 100000\n65464 98197\n40683 60885\n68902 100000\n48356 72416\n71397 100000\n17210 25753\n53453 80116\n2380 3593\n24459 36559\n12539 18801\n74966 100000\n17563 26272\n65766 98652\n75543 100000\n65589 98381\n77119 100000\n4004 6038\n60428 90644\n44543 66661\n55395 83045\n25430 37998\n58500 87745\n81594 100000\n39166 58611\n11945 17915\n55110 82632\n69372 100000\n98776 100000\n77255 100000\n87416 100000\n41353 61898\n18085 27065\n50046 74974\n66904 100000\n60441 90668\n91104 100000\n69801 100000\n38015 56853\n97313 100000\n58946 88401\n43454 65017\n79549 100000\n47174 70635\n85459 100000\n33128 49533\n40710 60924\n26368 39416\n92973 100000\n78910 100000\n69329 100000\n7114 10640\n72449 100000\n94477 100000\n99510 100000\n32898 49186\n26331 39363\n77866 100000\n84702 100000\n69889 100000\n96220 100000\n28848 43108\n71293 100000\n25586 38221\n98626 100000\n82615 100000\n68726 100000\n24319 36363\n75548 100000\n59564 89341\n18886 28252\n31249 46723\n17223 25771\n94392 100000\n89489 100000\n9285 13931\n81345 100000\n40185 60140\n34314 51290\n25485 38079\n54771 82113\n73765 100000\n2109 3182\n97972 100000\n28461 42520\n58218 87316\n23243 34757\n85417 100000\n16840 25185\n4241 6381\n98786 100000\n87977 100000\n55853 83727\n55594 83343\n5376 8065\n6341 9493\n83482 100000\n85792 100000\n94869 100000\n48255 72266\n35524 53104\n4991 7500\n57252 85849\n99876 100000\n99905 100000\n49482 74132\n49623 74347\n2160 3253\n16563 24778\n38202 57145\n4213 6342\n7562 11324\n90008 100000\n9117 13679\n27931 41735\n26834 40097\n11836 17743\n76370 100000\n19710 29468\n69391 100000\n70993 100000\n68911 100000\n93722 100000\n44596 66745\n70706 100000\n48301 72334\n15522 23242\n48392 72464\n38480 57570\n64355 96522\n92486 100000\n8784 13163\n59385 89059\n64990 97470\n88948 100000\n6648 9945\n7205 10784\n48571 72738\n83115 100000\n78346 100000\n39618 59295\n76447 100000\n77248 100000\n4211 6339\n31976 47812\n59128 88667\n915 1394\n2350 3543\n31528 47146\n14178 21239\n62400 93616\n32895 49181\n36770 54964\n43444 65004\n52968 79389\n31719 47438\n7541 11294\n32296 48296\n91507 100000\n14651 21930\n61005 91501\n9177 13772\n37333 55822\n49503 74163\n57386 86047\n75050 100000\n69783 100000\n86685 100000\n67268 100000\n54817 82183\n28309 42304\n73734 100000\n94457 100000\n33934 50707\n87030 100000\n84618 100000\n77462 100000\n96075 100000\n71685 100000\n80894 100000\n50723 75982\n13190 19764\n36598 54718\n2635 3971\n39774 59529\n33649 50291\n32203 48161\n2987 4501\n47270 70778\n34914 52195\n53266 79822\n10253 15386\n98028 100000\n63092 94639\n26626 39795\n93095 100000\n70407 100000\n91071 100000\n18116 27112\n67646 100000\n94787 100000\n52787 79121\n98447 100000\n36730 54906\n73915 100000\n27322 40824\n73500 100000\n64920 97368\n84602 100000\n55981 83922\n35517 53094\n13147 19700\n76641 100000\n41441 62020\n58485 87724\n2571 3876\n98278 100000\n6213 9298\n80101 100000\n73086 100000\n26043 38918\n81097 100000\n47982 71862\n87762 100000\n51313 76885\n14430 21615\n38090 56973\n31173 46608\n33322 49814\n48170 72141\n97356 100000\n23617 35313\n81672 100000\n4053 6108\n64855 97272\n9655 14477\n89380 100000\n65176 97756\n61645 92472\n79530 100000\n15650 23437\n17889 26767\n61909 92880\n45291 67786\n78269 100000\n20230 30255\n19757 29538\n29541 44130\n85748 100000\n77978 100000\n14805 22160\n96380 100000\n4526 6806\n71888 100000\n20102 30060\n69956 100000\n47733 71483\n76181 100000\n88280 100000\n11941 17910\n12857 19273\n55718 83529\n62470 93712\n77975 100000\n79192 100000\n64930 97383\n46008 68874\n62181 93297\n95544 100000\n29561 44157\n34184 51094\n37605 56226\n81403 100000\n95644 100000\n52990 79417\n27245 40707\n39159 58599\n97043 100000\n52839 79194\n66335 99517\n96816 100000\n91386 100000\n18904 28279\n94723 100000\n34228 51162\n75574 100000\n28632 42774\n24781 37033\n80664 100000\n62299 93472\n82379 100000\n76255 100000\n80875 100000\n63695 95537\n93668 100000\n92896 100000\n89630 100000\n13979 20939\n60578 90871\n70635 100000\n6317 9457\n73076 100000\n36701 54858\n74815 100000\n42717 63916\n37117 55501\n59210 88795\n20574 30772\n84223 100000\n85586 100000\n93204 100000\n25225 37684\n45574 68214\n27637 41297\n56057 84037\n14198 21268\n22799 34089\n91535 100000\n42655 63823\n91209 100000\n77728 100000\n16050 24034\n63560 95335\n39286 58804\n85731 100000\n61088 91630\n42267 63241\n24821 37092\n41533 62154\n57623 86418\n43194 64627\n16912 25298\n79638 100000\n15521 23240\n7690 11511\n93317 100000\n55141 82676\n28704 42890\n5092 7648\n17622 26364\n36958 55254\n75475 100000\n3063 4617\n59745 89609\n84647 100000\n33454 50008\n54442 81612\n83522 100000\n45451 68027\n45294 67791\n73156 100000\n43452 65014\n18605 27830\n33087 49473\n81964 100000\n51686 77448\n68207 100000\n80284 100000\n44910 67203\n9621 14422\n29704 44389\n83589 100000\n32370 48406\n69322 100000\n4581 6888\n31584 47226\n34779 51999\n62731 94097\n49929 74803\n99433 100000\n16735 25034\n88464 100000\n22113 33053\n79488 100000\n93805 100000\n34813 52046\n27717 41407\n40800 61063\n42644 63808\n68045 100000\n46003 68866\n91395 100000\n81912 100000\n93319 100000\n87512 100000\n76979 100000\n67731 100000\n96534 100000\n30234 45188\n25288 37781\n21759 32534\n17132 25627\n96406 100000\n2311 3485\n80070 100000\n45180 67617\n25762 38486\n49422 74042\n70214 100000\n28020 41868\n41355 61902\n88663 100000\n99257 100000\n47869 71690\n75401 100000\n34503 51584\n25495 38093\n25628 38282\n56429 84596\n86559 100000\n82205 100000\n3478 5240\n11908 17858\n38055 56918\n98350 100000\n86403 100000\n27563 41180\n93958 100000\n5367 8052\n88131 100000\n68531 100000\n40013 59882\n68382 100000\n854 1300\n50459 75600\n10569 15861\n59183 88752\n45196 67640\n97714 100000\n9309 13968\n64118 96169\n81630 100000\n63636 95449\n65160 97731\n20881 31211\n39621 59300\n15186 22734\n98798 100000\n55984 83926\n14465 21668\n17197 25732\n11493 17233\n37307 55784\n7703 11531\n95950 100000\n44937 67251\n97471 100000\n14791 22139\n30732 45946\n21278 31807\n71273 100000\n31807 47559\n34466 51521\n71703 100000\n46010 68877\n5172 7768\n25437 38007\n27014 40370\n72764 100000\n79253 100000\n18632 27868\n15283 22882\n11748 17614\n98221 100000\n7555 11314\n98006 100000\n42477 63555\n51125 76596\n29266 43726\n30321 45322\n55162 82707\n62061 93109\n49737 74517\n79325 100000\n28703 42889\n33058 49426\n53284 79850\n48330 72373\n99447 100000\n54684 81979\n32460 48532\n44903 67192\n86969 100000\n75950 100000\n21311 31855\n97832 100000\n75210 100000\n78698 100000\n96027 100000\n72889 100000\n58401 87602\n78810 100000\n57666 86478\n81559 100000\n22022 32916\n65425 98134\n92432 100000\n56072 84056\n53059 79518\n95114 100000\n51333 76914\n71270 100000\n59656 89478\n27362 40881\n90117 100000\n9880 14818\n31150 46577\n84494 100000\n83378 100000\n32681 48863\n80384 100000\n22313 33344\n41708 62406\n76085 100000\n61585 92385\n69423 100000\n55095 82608\n99307 100000\n84468 100000\n10541 15814\n4643 6981\n3470 5228\n21073 31510\n91923 100000\n14029 21011\n62967 94452\n27328 40833\n74602 100000\n61756 92643\n8682 13005\n16568 24785\n16072 24070\n47687 71409\n89287 100000\n92686 100000\n31608 47266\n382 575\n80519 100000\n32601 48745\n16330 24445\n50778 76064\n52326 78428\n64275 96401\n38875 58167\n32900 49190\n61249 91890\n67222 100000\n59973 89959\n8537 12780\n53676 80464\n95461 100000\n8395 12567\n2130 3210\n91131 100000\n90276 100000\n34270 51221\n57864 86787\n44092 65986\n4688 7050\n1897 2855\n89384 100000\n27415 40959\n52871 79239\n42945 64258\n25951 38773\n10316 15480\n68234 100000\n17478 26150\n66349 99539\n44291 66284\n17671 26438\n91578 100000\n27579 41205\n3116 4700\n39429 59011\n90039 100000\n33603 50231\n25088 37479\n24506 36626\n22429 33521\n91237 100000\n41202 61671\n20539 30722\n28397 42426\n20777 31065\n40774 61026\n36121 54006\n17952 26871\n27972 41795\n22482 33604\n43125 64526\n78217 100000\n31620 47285\n16141 24171\n99074 100000\n83276 100000\n65486 98229\n19513 29168\n7831 11721\n59832 89739\n18530 27723\n36790 54996\n99220 100000\n61477 92223\n4375 6575\n99842 100000\n17011 25444\n91416 100000\n13809 20682\n34274 51226\n65651 98479\n31996 47842\n94412 100000\n38813 58077\n71079 100000\n61319 91997\n44252 66222\n5287 7935\n90712 100000\n53530 80235\n88802 100000\n78078 100000\n91633 100000\n4698 7065\n52570 78800\n13022 19518\n97244 100000\n12471 18698\n80884 100000\n40924 61248\n2330 3517\n94206 100000\n26490 39600\n61470 92210\n57608 86395\n55647 83420\n33240 49695\n58159 87224\n56904 85302\n54798 82155\n26029 38896\n83555 100000\n16740 25041\n1563 2367\n18459 27621\n57316 85947\n42855 64119\n99780 100000\n60109 90165\n95438 100000\n87038 100000\n69300 100000\n54819 82187\n66284 99444\n67114 100000\n6966 10417\n31538 47160\n66032 99054\n37817 56556\n21900 32735\n16883 25256\n39819 59600\n15237 22807\n82769 100000\n31305 46808\n99622 100000\n71470 100000\n49950 74830\n96450 100000\n38820 58087\n60800 91201\n38387 57427\n32155 48084\n73060 100000\n2246 3386\n91869 100000\n47724 71467\n72679 100000\n24588 36750\n83715 100000\n13303 19934\n55922 83834\n92742 100000\n4591 6903\n99978 100000\n51451 77092\n12846 19258\n7941 11892\n44475 66557\n47964 71832\n33897 50653\n91705 100000\n16665 24928\n21741 32506\n97118 100000\n71521 100000\n65526 98287\n44938 67252\n88996 100000\n46195 69151\n97850 100000\n54067 81050\n99866 100000\n30404 45447\n28910 43198\n73805 100000\n50980 76377\n18547 27745\n41896 62679\n64504 96739\n7586 11359\n58619 87919\n84362 100000\n64839 97246\n67518 100000\n30727 45937\n82346 100000\n66755 100000\n20570 30766\n7717 11553\n17121 25612\n20727 30992\n11461 17188\n74227 100000\n27406 40948\n14013 20989\n31151 46578\n90175 100000\n8207 12287\n74769 100000\n94819 100000\n24309 36349\n90855 100000\n54301 81395\n62014 93032\n3215 4848\n96395 100000\n86073 100000\n74067 100000\n74022 100000\n20651 30882\n94967 100000\n3079 4644\n69998 100000\n4632 6966\n80696 100000\n15821 23686\n56388 84534\n769 1172\n34282 51237\n78409 100000\n19765 29548\n44826 67076\n27305 40799\n23801 35593\n96183 100000\n43339 64840\n76996 100000\n46906 70232\n2306 3478\n84560 100000\n85971 100000\n40983 61339\n69500 100000\n70461 100000\n21134 31597\n85290 100000\n76694 100000\n86642 100000\n66376 99579\n6367 9532\n82848 100000\n18776 28088\n88830 100000\n84122 100000\n67162 100000\n29653 44309\n31510 47117\n76646 100000\n54806 82168\n18732 28023\n22227 33216\n45927 68753\n65997 99001\n28490 42558\n95455 100000\n87445 100000\n42259 63229\n84478 100000\n34651 51806\n90948 100000\n90935 100000\n54611 81864\n3674 5522\n33163 49583\n77461 100000\n60968 91448\n28244 42210\n46895 70216\n68443 100000\n94580 100000\n11062 16585\n88926 100000\n35892 53652\n42183 63116\n10759 16141\n8681 13003\n75037 100000\n57815 86719\n75928 100000\n839 1273\n80811 100000\n10283 15434\n59217 88805\n4799 7220\n36541 54640\n25574 38204\n48232 72231\n37974 56790\n11464 17193\n24069 36001\n97271 100000\n22693 33928\n40131 60057\n96813 100000\n38708 57923\n61417 92139\n33636 50272\n86762 100000\n50371 75467\n72251 100000\n64446 96645\n78659 100000\n98510 100000\n12497 18735\n92739 100000\n53683 80475\n21381 31960\n87541 100000\n51465 77114\n35200 52618\n71275 100000\n51752 77550\n39293 58811\n7215 10799\n36420 54462\n86231 100000\n28646 42795\n64155 96222\n85092 100000\n73477 100000\n24737 36969\n12993 19475\n40347 60380\n88767 100000\n75086 100000\n4718 7096\n13721 20548\n43529 65130\n93842 100000\n98225 100000\n88457 100000\n76282 100000\n69601 100000\n50648 75878\n3410 5136\n55304 82911\n21055 31484\n38217 57170\n76290 100000\n79730 100000\n35366 52870\n51803 77638\n36697 54854\n38338 57349\n98387 100000\n95179 100000\n71456 100000\n68399 100000\n54953 82392\n83374 100000\n8120 12158\n67992 100000\n38985 58338\n81005 100000\n20335 30411\n81811 100000\n92362 100000\n59756 89627\n66716 100000\n25131 37544\n87953 100000\n20537 30719\n7296 10922\n71853 100000\n34431 51463\n6133 9184\n60868 91304\n4618 6945\n51310 76879\n96017 100000\n11425 17128\n51520 77197\n82332 100000\n9300 13955\n18251 27308\n50865 76201\n25870 38653\n99775 100000\n24124 36077\n29378 43883\n4804 7226\n17811 26641\n73891 100000\n13695 20510\n76738 100000\n90088 100000\n85870 100000\n63486 95224\n8698 13031\n95926 100000\n38303 57301\n82571 100000\n83018 100000\n71486 100000\n93038 100000\n18644 27886\n10028 15044\n64162 96233\n52617 78867\n8077 12093\n11589 17373\n52577 78810\n39629 59311\n97090 100000\n10231 15353\n14327 21462\n1450 2195\n61012 91514\n92437 100000\n40132 60059\n74122 100000\n31428 46990\n21840 32653\n53451 80113\n7494 11227\n37985 56808\n46057 68947\n21536 32201\n14610 21874\n78624 100000\n11462 17190\n12336 18503\n39699 59419\n45725 68440\n60864 91298\n66896 100000\n67213 100000\n91919 100000\n30189 45120\n21599 32289\n35644 53286\n31706 47421\n89527 100000\n99302 100000\n54913 82328\n73843 100000\n93591 100000\n69945 100000\n62999 94502\n32631 48791\n11189 16773\n26872 40153\n79298 100000\n92364 100000\n82700 100000\n99340 100000\n68636 100000\n23744 35503\n40083 59987\n69175 100000\n76069 100000\n21649 32367\n24305 36342\n47392 70971\n43489 65071\n29919 44718\n64192 96279\n17147 25650\n31848 47619\n97060 100000\n43652 65323\n33126 49530\n58076 87107\n92773 100000\n64965 97431\n60583 90880\n85526 100000\n7625 11413\n66236 99365\n39750 59495\n81588 100000\n55244 82824\n44769 66996\n96087 100000\n87544 100000\n96933 100000\n72738 100000\n94606 100000\n30568 45688\n49544 74228\n75373 100000\n23403 34993\n18482 27654\n55508 83207\n79398 100000\n71579 100000\n74776 100000\n38475 57565\n66862 100000\n54544 81764\n31067 46451\n60771 91160\n68027 100000\n98858 100000\n52995 79423\n80898 100000\n89064 100000\n41989 62813\n36854 55098\n22086 33013\n34908 52185\n87533 100000\n46979 70334\n41707 62404\n44216 66168\n84708 100000\n85757 100000\n33664 50314\n75190 100000\n93800 100000\n67733 100000\n38384 57422\n3600 5411\n13205 19787\n75877 100000\n27599 41238\n7699 11526\n96560 100000\n61092 91634\n28200 42144\n70034 100000\n92994 100000\n88076 100000\n73296 100000\n39716 59449\n81782 100000\n7477 11197\n7052 10546\n25381 37926\n88817 100000\n1150 1759\n59116 88650\n93019 100000\n32009 47868\n69424 100000\n21540 32206\n53730 80543\n45033 67393\n32615 48766\n63149 94722\n83710 100000\n93769 100000\n39540 59175\n82201 100000\n56079 84066\n1434 2172\n68482 100000\n87485 100000\n13545 20297\n98953 100000\n291 438\n97358 100000\n66378 99582\n88981 100000\n51229 76751\n98910 100000\n60773 91162\n31966 47797\n2258 3404\n42343 63360\n62741 94112\n75744 100000\n61435 92163\n62100 93172\n88462 100000\n31164 46596\n13165 19727\n37678 56343\n49146 73613\n2076 3130\n88734 100000\n82570 100000\n12116 18179\n64516 96760\n672 1026\n59581 89363\n44873 67144\n50679 75924\n33365 49874\n53057 79516\n62257 93410\n92255 100000\n12180 18267\n14447 21641\n71895 100000\n74827 100000\n11140 16695\n46959 70305\n68102 100000\n18807 28134\n39090 58493\n13772 20626\n49607 74326\n54983 82439\n14275 21387\n70811 100000\n118 180\n26920 40230\n81803 100000\n46072 68969\n94398 100000\n95975 100000\n53968 80894\n31690 47399\n39625 59306\n76313 100000\n82701 100000\n47922 71771\n3675 5524\n3852 5799\n37041 55385\n80380 100000\n60286 90432\n19325 28895\n93853 100000\n36423 54467\n46821 70106\n86145 100000\n72542 100000\n6967 10419\n96419 100000\n47306 70829\n34414 51436\n22403 33482\n87699 100000\n93132 100000\n87671 100000\n10025 15040\n60465 90706\n9203 13812\n93654 100000\n6060 9073\n15420 23088\n94814 100000\n40218 60191\n90781 100000\n62807 94212\n4673 7027\n21743 32509\n37287 55756\n35567 53167\n40536 60668\n47035 70419\n99505 100000\n70804 100000\n69912 100000\n20811 31116\n6408 9591\n68626 100000\n49095 73534\n99961 100000\n95454 100000\n88558 100000\n26479 39582\n94617 100000\n50043 74970\n99759 100000\n83004 100000\n71483 100000\n3247 4896\n42496 63583\n71648 100000\n28381 42408\n80710 100000\n1425 2160\n16459 24627\n20354 30437\n87424 100000\n72349 100000\n48711 72950\n6310 9445\n52539 78748\n48285 72309\n3039 4577\n12186 18277\n16835 25176\n49457 74094\n6264 9374\n4724 7106\n12803 19192\n85617 100000\n37104 55484\n86384 100000\n29077 43446\n39865 59669\n1777 2673\n36097 53970\n19425 29050\n39114 58529\n82538 100000\n62789 94184\n98856 100000\n19318 28884\n73505 100000\n84328 100000\n87434 100000\n12093 18143\n99101 100000\n84173 100000\n95190 100000\n57069 85560\n35168 52570\n52627 78880\n28058 41923\n15683 23491\n76796 100000\n7576 11344\n47173 70633\n9352 14033\n26478 39580\n43546 65157\n49521 74192\n70830 100000\n79373 100000\n88639 100000\n45744 68466\n99952 100000\n68022 100000\n80052 100000\n69330 100000\n57962 86935\n77653 100000\n14811 22169\n93349 100000\n44727 66933\n27719 41411\n79478 100000\n72612 100000\n31415 46971\n80285 100000\n28744 42944\n84363 100000\n96344 100000\n42388 63432\n87025 100000\n72169 100000\n17990 26927\n64665 96987\n40106 60021\n50608 75825\n56133 84148\n25914 38719\n54498 81693\n92009 100000\n75161 100000\n16803 25131\n26927 40240\n35635 53272\n27112 40517\n47924 71774\n25978 38817\n15444 23124\n24859 37146\n6935 10370\n48375 72439\n19090 28542\n91834 100000\n57207 85778\n12462 18687\n35060 52411\n86205 100000\n63188 94781\n12182 18271\n33392 49914\n85273 100000\n76983 100000\n51452 77094\n40271 60261\n44713 66912\n45737 68458\n29753 44464\n68952 100000\n64887 97319\n93843 100000\n82838 100000\n3482 5247\n33607 50236\n46675 69887\n59951 89924\n39641 59331\n24369 36433\n10093 15144\n95246 100000\n7607 11388\n42860 64125\n74580 100000\n76573 100000\n87931 100000\n50349 75436\n53076 79546\n96440 100000\n48033 71931\n7527 11276\n78462 100000\n84589 100000\n96887 100000\n58860 88277\n31733 47456\n49381 73980\n99627 100000\n72361 100000\n13792 20656\n42804 64045\n67337 100000\n44371 66406\n58724 88079\n5291 7942\n11961 17939\n16833 25173\n7636 11428\n1656 2509\n68509 100000\n29809 44547\n53297 79872\n83091 100000\n46622 69804\n77124 100000\n6726 10062\n24214 36213\n42971 64296\n11334 16992\n77357 100000\n42614 63758\n52753 79068\n55268 82861\n50362 75454\n68801 100000\n26873 40155\n11363 17035\n81465 100000\n66564 99876\n31233 46697\n37739 56437\n85226 100000\n75544 100000\n21884 32712\n18840 28180\n42638 63797\n6221 9310\n58647 87963\n11066 16590\n9244 13874\n72400 100000\n89202 100000\n81703 100000\n5630 8437\n75900 100000\n6917 10345\n8819 13217\n24487 36599\n37108 55490\n97680 100000\n59329 88972\n31030 46395\n36110 53991\n11141 16697\n40097 60008\n34266 51217\n24770 37018\n18500 27680\n69212 100000\n2313 3489\n59585 89370\n35678 53337\n38427 57488\n16597 24828\n57150 85689\n67353 100000\n84336 100000\n36534 54629\n60234 90355\n4007 6042\n58456 87682\n11942 17911\n54671 81961\n31785 47529\n36164 54068\n12069 18108\n46152 69086\n15350 22981\n61929 92906\n30485 45569\n75056 100000\n63075 94611\n23377 34957\n42684 63866\n71212 100000\n51265 76809\n26868 40146\n17826 26665\n37000 55320\n2611 3938\n6074 9095\n66456 99706\n74551 100000\n15128 22644\n19259 28798\n94294 100000\n17278 25852\n10436 15656\n5688 8522\n49512 74175\n8084 12103\n46346 69381\n81675 100000\n69580 100000\n79043 100000\n86153 100000\n6392 9568\n71372 100000\n24966 37300\n76594 100000\n92630 100000\n77977 100000\n29542 44131\n30417 45467\n40986 61344\n92421 100000\n92152 100000\n16151 24185\n86167 100000\n75139 100000\n34288 51248\n17681 26451\n37716 56401\n64423 96613\n11724 17579\n28780 43000\n34030 50859\n187 284\n62097 93168\n8935 13398\n64149 96214\n41024 61405\n18778 28090\n76038 100000\n66559 99867\n93649 100000\n27155 40579\n57321 85954\n21283 31814\n3128 4719\n16516 24711\n14106 21127\n93779 100000\n13703 20522\n46183 69135\n93007 100000\n57364 86018\n90812 100000\n74700 100000\n52406 78545\n55558 83285\n94180 100000\n17934 26841\n89571 100000\n43084 64460\n17007 25439\n49010 73398\n13847 20739\n73927 100000\n86059 100000\n52412 78553\n24619 36800\n88157 100000\n47321 70855\n93862 100000\n13135 19685\n19121 28592\n70735 100000\n53902 80797\n12648 18960\n20410 30526\n59302 88932\n39398 58961\n92016 100000\n89464 100000\n2830 4267\n91433 100000\n87483 100000\n90549 100000\n54867 82258\n75178 100000\n40449 60536\n91427 100000\n78914 100000\n58316 87468\n18977 28384\n10270 15414\n65141 97702\n48052 71960\n97794 100000\n88233 100000\n88129 100000\n64738 97099\n96603 100000\n4950 7437\n49904 74767\n13826 20708\n25585 38219\n46497 69620\n15837 23708\n11605 17397\n3235 4879\n8703 13039\n25045 37411\n71477 100000\n43985 65826\n21955 32816\n24017 35922\n41857 62623\n18428 27576\n80616 100000\n8778 13155\n15553 23289\n38129 57030\n56926 85338\n77466 100000\n72627 100000\n7622 11408\n11142 16699\n54012 80963\n72028 100000\n65167 97743\n52893 79271\n75710 100000\n3005 4529\n18413 27554\n79554 100000\n91635 100000\n96966 100000\n22435 33533\n87775 100000\n16643 24895\n10176 15264\n43763 65491\n84985 100000\n11421 17124\n31929 47744\n19341 28917\n28019 41867\n46253 69243\n67519 100000\n22350 33398\n38120 57017\n70499 100000\n34589 51716\n40561 60706\n68895 100000\n97591 100000\n56599 84848\n96530 100000\n28505 42578\n79717 100000\n95959 100000\n55143 82680\n90871 100000\n89653 100000\n87979 100000\n10530 15796\n80049 100000\n73814 100000\n98431 100000\n50524 75698\n7543 11298\n52407 78546\n26701 39900\n12048 18075\n3884 5849\n12556 18823\n26521 39644\n31740 47465\n54360 81487\n47422 71021\n69562 100000\n37223 55664\n94140 100000\n22033 32930\n72794 100000\n98339 100000\n78755 100000\n15907 23818\n8845 13258\n87645 100000\n22910 34253\n47109 70532\n94346 100000\n1339 2030\n27516 41111\n23289 34822\n41895 62677\n31664 47359\n71749 100000\n45893 68699\n67242 100000\n94638 100000\n4642 6979\n16272 24362\n60963 91440\n63477 95212\n35182 52590\n85095 100000\n64571 96846\n35361 52864\n29676 44345\n34641 51791\n58743 88105\n975 1487\n97066 100000\n31053 46431\n48421 72508\n21091 31537\n61744 92623\n15296 22903\n69529 100000\n71903 100000\n30244 45202\n85943 100000\n43726 65432\n75690 100000\n86364 100000\n13900 20814\n26408 39474\n49367 73957\n735 1120\n95001 100000\n9370 14055\n99480 100000\n39079 58478\n15152 22681\n23275 34804\n19836 29652\n59849 89763\n92874 100000\n17842 26690\n95570 100000\n62211 93342\n74447 100000\n15874 23768\n52996 79425\n28060 41927\n18674 27933\n77122 100000\n6589 9851\n89177 100000\n9562 14337\n72810 100000\n46495 69617\n18466 27631\n37118 55502\n16207 24267\n90179 100000\n75203 100000\n22440 33542\n67330 100000\n60252 90384\n63851 95763\n79444 100000\n7813 11695\n56294 84387\n13107 19642\n21667 32393\n24197 36186\n38551 57682\n88282 100000\n91973 100000\n79953 100000\n30411 45457\n1576 2388\n22727 33986\n7421 11109\n63290 94935\n92637 100000\n30746 45969\n52632 78887\n39318 58850\n70684 100000\n51504 77172\n80794 100000\n65392 98084\n49783 74587\n12925 19374\n87147 100000\n1281 1946\n989 1512\n8508 12735\n37376 55887\n24961 37293\n35818 53545\n47260 70765\n63660 95486\n40712 60926\n33745 50432\n31531 47151\n46798 70070\n81855 100000\n25144 37563\n7045 10536\n69566 100000\n89189 100000\n35562 53160\n85335 100000\n28604 42728\n97108 100000\n64102 96145\n25756 38475\n646 985\n31315 46826\n66142 99226\n12329 18492\n67920 100000\n246 373\n18912 28288\n68153 100000\n64214 96311\n82532 100000\n96661 100000\n18379 27502\n99418 100000\n9011 13519\n90063 100000\n99451 100000\n72593 100000\n70454 100000\n50199 75205\n26780 40016\n69136 100000\n87634 100000\n59579 89360\n24755 36993\n78397 100000\n19141 28624\n82216 100000\n23488 35132\n14217 21300\n81072 100000\n87359 100000\n10420 15633\n4958 7448\n42970 64294\n20884 31216\n33952 50739\n56634 84898\n66152 99241\n3905 5885\n97530 100000\n59026 88514\n66447 99692\n88341 100000\n93363 100000\n23918 35772\n47571 71243\n50816 76124\n28670 42834\n94989 100000\n11285 16919\n22713 33962\n35419 52951\n97398 100000\n39333 58876\n65532 98299\n37409 55937\n59491 89225\n36951 55244\n95534 100000\n64463 96670\n75616 100000\n37460 56012\n28465 42526\n86590 100000\n29949 44766\n79462 100000\n97008 100000\n49141 73607\n17235 25788\n53294 79866\n27067 40451\n28353 42372\n20799 31097\n3369 5069\n40469 60566\n7563 11325\n38181 57111\n62265 93423\n54847 82226\n73660 100000\n40181 60133\n81575 100000\n59119 88655\n79370 100000\n54546 81766\n97465 100000\n85646 100000\n30996 46341\n71371 100000\n61534 92314\n62535 93808\n30239 45195\n76091 100000\n66484 99750\n7271 10884\n14412 21587\n23756 35524\n12347 18520\n27683 41360\n54092 81088\n41101 61517\n28446 42501\n24863 37151\n87167 100000\n86031 100000\n50137 75111\n434 656\n31011 46364\n80499 100000\n82277 100000\n53814 80661\n43552 65166\n56159 84190\n88401 100000\n91460 100000\n77625 100000\n75817 100000\n8802 13192\n31282 46772\n67819 100000\n35345 52839\n36826 55053\n71451 100000\n6431 9621\n19845 29667\n96306 100000\n36900 55169\n36375 54391\n481 727\n80873 100000\n24433 36523\n14583 21836\n76948 100000\n62752 94129\n79073 100000\n4582 6889\n66983 100000\n6992 10459\n69374 100000\n73795 100000\n79032 100000\n39648 59341\n67888 100000\n7901 11828\n16100 24108\n88730 100000\n30009 44855\n6892 10306\n28388 42416\n10693 16044\n14339 21479\n89528 100000\n77919 100000\n14872 22266\n85200 100000\n34262 51211\n23729 35481\n30101 44987\n55010 82482\n91129 100000\n10163 15245\n44488 66578\n87961 100000\n86260 100000\n78820 100000\n73651 100000\n52036 77984\n86830 100000\n62138 93231\n63770 95648\n94347 100000\n33051 49415\n5049 7583\n41951 62760\n95040 100000\n3860 5813\n68419 100000\n3174 4784\n77479 100000\n68400 100000\n39017 58389\n63374 95065\n46605 69778\n99796 100000\n69503 100000\n3291 4958\n93067 100000\n12763 19134\n91418 100000\n82690 100000\n8449 12647\n18461 27624\n16952 25356\n28130 42032\n65920 98883\n67476 100000\n78373 100000\n80781 100000\n88207 100000\n92284 100000\n98232 100000\n67737 100000\n61284 91946\n1526 2311\n11413 17111\n96642 100000\n5138 7711\n55055 82548\n35463 53016\n26910 40211\n95519 100000\n19296 28852\n87244 100000\n82836 100000\n15049 22528\n88903 100000\n74995 100000\n81414 100000\n85252 100000\n1725 2603\n62247 93396\n7682 11501\n66467 99726\n81328 100000\n53974 80903\n76737 100000\n9652 14472\n12128 18197\n32067 47953\n62445 93676\n42610 63751\n47153 70603\n65733 98602\n51532 77215\n56701 84995\n76701 100000\n80984 100000\n47002 70372\n85437 100000\n44163 66092\n40526 60655\n44412 66465\n16742 25045\n42582 63712\n79266 100000\n82365 100000\n28189 42126\n93609 100000\n27334 40841\n83379 100000\n55721 83535\n6534 9769\n10129 15191\n24381 36448\n78486 100000\n21145 31612\n93155 100000\n35707 53384\n83537 100000\n83925 100000\n56128 84140\n85191 100000\n79270 100000\n12646 18957\n89304 100000\n74254 100000\n60664 90997\n93148 100000\n20002 29904\n81104 100000\n74533 100000\n21980 32854\n7393 11066\n78777 100000\n90339 100000\n60444 90673\n67934 100000\n4700 7069\n34570 51687\n37397 55918\n92097 100000\n89408 100000\n91556 100000\n2724 4105\n35161 52559\n77692 100000\n46917 70247\n70158 100000\n36539 54637\n10014 15020\n46365 69412\n83571 100000\n181 272\n75479 100000\n49455 74091\n34065 50912\n86208 100000\n8384 12552\n29084 43456\n78705 100000\n48312 72349\n45405 67959\n8101 12129\n84445 100000\n4648 6990\n95788 100000\n61676 92520\n32612 48762\n95562 100000\n85776 100000\n92659 100000\n39097 58504\n33519 50100\n30550 45663\n21901 32737\n42196 63133\n5622 8427\n96919 100000\n37515 56095\n69646 100000\n1101 1682\n17450 26106\n18528 27721\n1807 2717\n95415 100000\n68785 100000\n45081 67462\n56884 85273\n41933 62736\n66654 100000\n50252 75285\n76026 100000\n30853 46126\n80255 100000\n22134 33081\n21293 31829\n26263 39259\n31640 47320\n53190 79712\n74780 100000\n11788 17676\n78107 100000\n36394 54423\n82023 100000\n95687 100000\n63667 95499\n95751 100000\n38318 57320\n27003 40352\n21365 31937\n21863 32683\n16450 24613\n38285 57271\n81148 100000\n46813 70092\n785 1194\n67482 100000\n98228 100000\n8839 13247\n11178 16753\n45283 67773\n78931 100000\n40711 60925\n63874 95800\n24136 36098\n76369 100000\n74997 100000\n39906 59730\n5271 7911\n60976 91457\n15856 23739\n74933 100000\n18217 27259\n66317 99494\n45682 68375\n18749 28046\n14552 21795\n16697 24977\n70482 100000\n41339 61879\n49829 74654\n22729 33989\n89370 100000\n97294 100000\n79525 100000\n89011 100000\n44735 66946\n14763 22097\n72616 100000\n39810 59587\n89368 100000\n72820 100000\n35121 52502\n56068 84052\n79046 100000\n72284 100000\n40241 60221\n50585 75793\n99922 100000\n53446 80105\n38723 57944\n8284 12400\n81017 100000\n89721 100000\n16575 24797\n53753 80577\n64051 96068\n1408 2134\n2639 3977\n52044 77995\n93723 100000\n46328 69352\n85559 100000\n25459 38040\n9142 13716\n35502 53074\n38495 57592\n62799 94200\n71530 100000\n99065 100000\n2233 3367\n71420 100000\n55126 82654\n51269 76813\n47753 71516\n3223 4859\n72227 100000\n96025 100000\n94031 100000\n92306 100000\n42103 62991\n88508 100000\n15270 22862\n86115 100000\n94621 100000\n11453 17175\n12842 19252\n91639 100000\n24670 36871\n69182 100000\n43354 64865\n49387 73988\n61457 92194\n22007 32893\n86390 100000\n80705 100000\n91440 100000\n76819 100000\n88499 100000\n95245 100000\n50253 75287\n92516 100000\n9443 14167\n54668 81957\n36477 54541\n78008 100000\n76564 100000\n38712 57929\n68039 100000\n80787 100000\n3461 5213\n42256 63223\n47794 71576\n13805 20675\n51402 77023\n40130 60056\n36130 54020\n70891 100000\n11954 17929\n45985 68839\n88812 100000\n75051 100000\n73255 100000\n44570 66701\n44271 66253\n47590 71270\n13125 19668\n33869 50613\n91623 100000\n25658 38327\n92797 100000\n89927 100000\n38501 57601\n14054 21046\n79723 100000\n31781 47523\n9393 14086\n19940 29809\n18218 27261\n3132 4724\n55612 83370\n17135 25632\n66897 100000\n69201 100000\n47799 71583\n80321 100000\n24800 37062\n85375 100000\n22053 32961\n51594 77310\n74457 100000\n25511 38114\n11823 17724\n95505 100000\n51175 76667\n48386 72456\n79350 100000\n82231 100000\n73072 100000\n97779 100000\n3026 4560\n94650 100000\n98662 100000\n82964 100000\n98994 100000\n26239 39218\n70611 100000\n1953 2938\n72754 100000\n9093 13642\n56145 84166\n64593 96881\n67603 100000\n63686 95525\n95619 100000\n43038 64388\n58380 87567\n1678 2537\n19556 29234\n81065 100000\n32319 48331\n89305 100000\n39457 59052\n74499 100000\n86476 100000\n10183 15276\n55309 82918\n32969 49290\n61342 92034\n35498 53068\n43708 65403\n84700 100000\n57182 85740\n58212 87307\n35807 53532\n22641 33852\n25277 37765\n52518 78716\n9517 14273\n3510 5285\n72234 100000\n63744 95610\n56389 84535\n6550 9792\n66289 99453\n20936 31295\n68738 100000\n99373 100000\n53719 80529\n5386 8080\n55821 83680\n57765 86638\n59522 89273\n20419 30540\n93612 100000\n30452 45521\n3385 5097\n66207 99329\n43810 65562\n55688 83484\n99878 100000\n95411 100000\n83791 100000\n87831 100000\n73043 100000\n30016 44865\n39647 59340\n73983 100000\n35032 52370\n13774 20629\n84492 100000\n9957 14935\n93023 100000\n94189 100000\n92893 100000\n72932 100000\n18311 27397\n92591 100000\n52226 78269\n8205 12285\n83942 100000\n64142 96203\n32540 48656\n18077 27055\n95997 100000\n68021 100000\n82759 100000\n31503 47106\n43453 65015\n42537 63640\n70597 100000\n54256 81332\n34648 51802\n5413 8120\n82597 100000\n41440 62019\n53795 80635\n11532 17291\n1291 1961\n66864 100000\n50767 76048\n93484 100000\n36032 53862\n2547 3839\n45833 68607\n59979 89969\n38466 57551\n82527 100000\n35864 53611\n2001 3010\n73942 100000\n65308 97956\n22667 33892\n50942 76319\n59839 89748\n10179 15269\n77913 100000\n85771 100000\n80144 100000\n1080 1650\n64640 96952\n14923 22346\n53932 80842\n13586 20356\n83027 100000\n56793 85135\n17827 26667\n15233 22802\n22981 34356\n56629 84892\n57200 85767\n65783 98679\n49177 73660\n73808 100000\n80931 100000\n14194 21264\n91362 100000\n19345 28923\n30588 45716\n83711 100000\n50552 75741\n28937 43237\n48507 72637\n19720 29482\n86026 100000\n25646 38306\n95424 100000\n82218 100000\n14707 22018\n81264 100000\n81171 100000\n23102 34546\n40544 60680\n24490 36604\n36293 54259\n54124 81135\n33401 49927\n92058 100000\n6883 10295\n57166 85715\n98395 100000\n41634 62302\n84741 100000\n26567 39713\n29773 44494\n38561 57697\n12688 19020\n92292 100000\n58448 87670\n12085 18130\n43375 64897\n80167 100000\n72778 100000\n51338 76921\n20850 31171\n31689 47398\n45367 67898\n88291 100000\n70434 100000\n65569 98351\n41425 61998\n9396 14092\n58364 87543\n14296 21419\n15399 23053\n1548 2344\n7136 10673\n66268 99418\n22321 33355\n73446 100000\n88791 100000\n33352 49857\n5700 8537\n25784 38520\n59698 89539\n94093 100000\n93332 100000\n58265 87386\n68719 100000\n27937 41743\n76830 100000\n91343 100000\n31854 47627\n60742 91117\n47790 71571\n20580 30781\n48997 73381\n8029 12020\n53893 80782\n94908 100000\n73432 100000\n85755 100000\n79848 100000\n84101 100000\n39061 58454\n3004 4527\n50304 75367\n16686 24961\n45599 68250\n6465 9664\n97305 100000\n87172 100000\n76724 100000\n20516 30690\n10505 15761\n58681 88013\n40672 60871\n76659 100000\n60889 91337\n92971 100000\n66939 100000\n71696 100000\n8496 12720\n21811 32611\n35285 52746\n89024 100000\n71051 100000\n32695 48882\n97226 100000\n84601 100000\n45576 68216\n68763 100000\n24290 36318\n11111 16655\n21835 32648\n68780 100000\n12759 19127\n7322 10961\n46330 69355\n15025 22492\n40782 61038\n84217 100000\n23404 34995\n79421 100000\n59299 88927\n67597 100000\n26605 39767\n48417 72503\n48378 72445\n68385 100000\n59078 88591\n95876 100000\n92270 100000\n19892 29741\n85450 100000\n58531 87794\n18573 27786\n86345 100000\n15151 22679\n99168 100000\n43539 65145\n28773 42989\n66938 100000\n8687 13012\n18991 28404\n19565 29250\n4881 7339\n22687 33920\n50042 74968\n67545 100000\n44912 67207\n8625 12914\n81601 100000\n86503 100000\n92117 100000\n53899 80792\n22857 34174\n62772 94157\n23147 34611\n79746 100000\n38876 58169\n24230 36234\n9276 13918\n7902 11830\n36192 54108\n87576 100000\n61386 92093\n90758 100000\n17285 25863\n15533 23257\n84124 100000\n58811 88203\n90642 100000\n59488 89220\n81804 100000\n19890 29737\n77286 100000\n89357 100000\n55816 83674\n13926 20856\n7263 10871\n71698 100000\n40567 60715\n69070 100000\n16187 24236\n58977 88445\n98884 100000\n68917 100000\n73902 100000\n49823 74646\n86519 100000\n97923 100000\n69225 100000\n15750 23587\n88638 100000\n80181 100000\n35632 53267\n72960 100000\n79381 100000\n83972 100000\n84230 100000\n92086 100000\n76413 100000\n33503 50077\n6068 9086\n44253 66224\n5680 8510\n46946 70287\n53426 80074\n25373 37912\n97180 100000\n96951 100000\n495 748\n33761 50453\n11097 16637\n80810 100000\n95326 100000\n99624 100000\n33399 49925\n22745 34012\n33468 50031\n23353 34921\n40486 60592\n86379 100000\n53285 79852\n13296 19924\n62830 94248\n83876 100000\n63457 95184\n94082 100000\n76406 100000\n55671 83455\n97810 100000\n66987 100000\n13467 20180\n27294 40782\n66343 99528\n76881 100000\n27372 40896\n20932 31287\n88614 100000\n73946 100000\n84389 100000\n74849 100000\n3227 4864\n63475 95210\n16859 25217\n20591 30796\n19703 29458\n24221 36223\n4620 6949\n57028 85492\n69099 100000\n67188 100000\n59525 89278\n69108 100000\n965 1470\n29657 44316\n21630 32340\n35194 52609\n91746 100000\n2476 3738\n43676 65359\n38919 58235\n99435 100000\n19268 28812\n21755 32528\n45808 68566\n4302 6464\n51570 77270\n77808 100000\n23298 34838\n44732 66942\n6665 9970\n48104 72041\n88037 100000\n3907 5888\n38423 57480\n20115 30080\n15787 23641\n2518 3799\n62825 94241\n21158 31632\n33949 50733\n62564 93853\n57167 85717\n27044 40413\n19459 29099\n5686 8518\n73136 100000\n34379 51385\n31766 47501\n48608 72798\n29051 43409\n29225 43662\n16514 24708\n57044 85519\n27543 41151\n93201 100000\n49379 73976\n79175 100000\n12651 18966\n98966 100000\n40667 60864\n48637 72839\n95530 100000\n50067 75002\n53395 80024\n39120 58538\n99974 100000\n1184 1805\n57734 86590\n58694 88033\n6627 9915\n97361 100000\n48018 71911\n99271 100000\n48324 72367\n55008 82480\n80963 100000\n14030 21012\n30100 44986\n18081 27060\n49961 74845\n55939 83861\n97614 100000\n92480 100000\n33153 49567\n28525 42610\n67060 100000\n39705 59430\n13660 20461\n57840 86751\n97219 100000\n78485 100000\n74478 100000\n83110 100000\n47449 71060\n55315 82925\n36163 54067\n23560 35228\n4346 6533\n33563 50170\n48019 71912\n76111 100000\n64733 97091\n7327 10968\n57009 85464\n83796 100000\n95869 100000\n12871 19297\n41163 61610\n54551 81773\n42559 63677\n90523 100000\n66373 99574\n68414 100000\n64603 96899\n95523 100000\n88949 100000\n78994 100000\n2516 3795\n45613 68271\n44396 66444\n51817 77659\n83728 100000\n25889 38680\n46101 69013\n45687 68382\n40252 60235\n2392 3610\n44502 66603\n79067 100000\n72663 100000\n67560 100000\n56083 84073\n78432 100000\n84733 100000\n15587 23339\n77336 100000\n96351 100000\n81924 100000\n87183 100000\n10742 16116\n22711 33959\n80669 100000\n9282 13927\n90466 100000\n85144 100000\n51436 77073\n92921 100000\n11656 17480\n39547 59188\n85844 100000\n38456 57534\n12560 18829\n66443 99686\n13627 20415\n2448 3696\n89561 100000\n55314 82924\n96117 100000\n62934 94408\n17089 25563\n63402 95105\n7796 11669\n41855 62621\n96429 100000\n64952 97416\n55719 83531\n41348 61890\n94 144\n42569 63692\n57741 86600\n43180 64607\n69809 100000\n62407 93625\n40783 61040\n89714 100000\n21361 31931\n11518 17270\n47645 71348\n84557 100000\n26579 39728\n74371 100000\n43584 65217\n12134 18204\n20513 30687\n67700 100000\n70423 100000\n60302 90456\n43206 64648\n93474 100000\n26057 38939\n86898 100000\n9830 14747\n66164 99260\n49921 74791\n22821 34120\n80346 100000\n55851 83725\n51087 76541\n65967 98955\n77791 100000\n39433 59017\n16701 24983\n54344 81461\n8937 13401\n57087 85586\n64658 96977\n53226 79766\n38915 58230\n66782 100000\n28942 43243\n64620 96924\n1250 1902\n75813 100000\n11538 17300\n44071 65953\n86404 100000\n57471 86182\n41252 61745\n91040 100000\n40671 60869\n75160 100000\n68506 100000\n54723 82041\n89771 100000\n52429 78579\n49739 74519\n47806 71593\n20439 30572\n41992 62817\n79365 100000\n75972 100000\n86708 100000\n61704 92564\n33865 50606\n24336 36389\n66936 100000\n55531 83242\n50493 75654\n96447 100000\n86233 100000\n71117 100000\n1980 2977\n11079 16611\n51472 77122\n57578 86347\n9743 14618\n38360 57384\n30954 46275\n77362 100000\n58584 87869\n22316 33349\n28767 42978\n29844 44601\n80743 100000\n27855 41620\n28169 42095\n8844 13256\n99486 100000\n15932 23855\n75446 100000\n58607 87904\n40337 60365\n9420 14129\n66792 100000\n70683 100000\n36507 54586\n26421 39493\n48091 72020\n45250 67725\n76206 100000\n32213 48176\n60067 90099\n3337 5020\n75152 100000\n62729 94094\n54515 81718\n28741 42940\n97330 100000\n37346 55844\n49364 73953\n23050 34466\n15786 23639\n16816 25150\n31350 46873\n78433 100000\n30551 45665\n44728 66934\n32826 49081\n79123 100000\n46349 69385\n3425 5158\n18823 28156\n88371 100000\n8325 12462\n16227 24296\n87493 100000\n56098 84094\n81408 100000\n3746 5634\n58454 87679\n67963 100000\n91527 100000\n19331 28902\n44872 67142\n80336 100000\n23738 35494\n65636 98458\n82222 100000\n67961 100000\n48737 72988\n70897 100000\n83464 100000\n48360 72420\n45623 68287\n42481 63561\n4859 7309\n63127 94690\n20880 31209\n64649 96964\n75862 100000\n15716 23539\n81357 100000\n74614 100000\n67400 100000\n69738 100000\n6167 9229\n3542 5331\n4715 7090\n32907 49200\n44719 66920\n38162 57083\n97853 100000\n41676 62365\n18523 27716\n95792 100000\n15546 23278\n16854 25208\n37713 56397\n73803 100000\n82368 100000\n22773 34053\n54144 81167\n39383 58944\n98859 100000\n86713 100000\n47307 70831\n50025 74942\n12157 18234\n25635 38291\n57397 86065\n67034 100000\n60895 91346\n94952 100000\n65273 97905\n71095 100000\n63862 95780\n68129 100000\n59982 89975\n1081 1652\n35850 53588\n48309 72345\n86648 100000\n96179 100000\n69951 100000\n12808 19200\n59955 89931\n82476 100000\n3330 5010\n47222 70703\n76643 100000\n14302 21430\n27218 40665\n46502 69627\n69775 100000\n93589 100000\n23926 35784\n60228 90344\n23089 34526\n93211 100000\n13889 20799\n4687 7049\n94943 100000\n67199 100000\n53510 80205\n51668 77420\n15861 23748\n95345 100000\n76538 100000\n84011 100000\n80180 100000\n64400 96582\n86362 100000\n61116 91672\n59671 89501\n21023 31432\n55421 83080\n99717 100000\n46467 69573\n22472 33589\n34709 51896\n44056 65932\n13449 20152\n33244 49701\n97574 100000\n89839 100000\n35636 53273\n31491 47085\n61636 92458\n81138 100000\n14773 22114\n12601 18893\n70413 100000\n48453 72553\n12894 19330\n98335 100000\n54880 82276\n47427 71028\n41677 62367\n35048 52394\n34780 52001\n5064 7605\n29923 44724\n61746 92626\n58132 87188\n78097 100000\n11973 17957\n2982 4493\n95292 100000\n14002 20973\n26183 39134\n50206 75217\n13661 20463\n76665 100000\n1477 2238\n92699 100000\n45393 67940\n57077 85570\n10880 16314\n87187 100000\n42932 64237\n57162 85709\n92441 100000\n37127 55515\n33541 50134\n93701 100000\n22123 33067\n32658 48830\n19443 29075\n13650 20449\n9041 13561\n95126 100000\n30652 45816\n87138 100000\n71248 100000\n33135 49543\n50384 75486\n44309 66311\n8247 12343\n22330 33369\n62661 93990\n16437 24597\n94930 100000\n86015 100000\n92276 100000\n58534 87797\n8387 12557\n65517 98274\n96717 100000\n76352 100000\n47811 71603\n20014 29922\n16414 24566\n24955 37286\n17039 25488\n87369 100000\n77520 100000\n74859 100000\n45844 68624\n86694 100000\n10056 15087\n60310 90468\n85984 100000\n52274 78350\n24772 37021\n91328 100000\n55424 83085\n95392 100000\n16032 24009\n53304 79883\n21935 32788\n26373 39422\n41249 61741\n94474 100000\n24650 36843\n67952 100000\n19029 28450\n1253 1906\n91432 100000\n57293 85913\n59520 89269\n65568 98350\n59325 88966\n13199 19779\n64085 96114\n79950 100000\n44737 66948\n62863 94299\n32981 49307\n56794 85136\n43706 65400\n16806 25137\n36478 54542\n15327 22946\n75400 100000\n83213 100000\n10731 16101\n14833 22207\n55711 83519\n32112 48020\n8340 12484\n86776 100000\n52788 79123\n86268 100000\n7093 10609\n92956 100000\n20555 30744\n56933 85350\n95591 100000\n81000 100000\n19486 29133\n5908 8842\n36800 55011\n65504 98258\n55807 83660\n5106 7668\n24348 36406\n72464 100000\n78948 100000\n5284 7930\n50284 75334\n62388 93602\n96491 100000\n99144 100000\n44771 66999\n58273 87400\n64691 97026\n97485 100000\n72556 100000\n408 615\n28292 42279\n90215 100000\n46332 69359\n74865 100000\n15194 22745\n29663 44324\n56692 84984\n24062 35991\n77216 100000\n64498 96731\n59872 89799\n99816 100000\n61590 92392\n38097 56983\n7041 10530\n34447 51491\n89662 100000\n69295 100000\n69866 100000\n12493 18729\n52876 79247\n17243 25800\n58253 87368\n15827 23694\n91950 100000\n33890 50642\n86588 100000\n39249 58749\n38228 57183\n38353 57373\n58280 87413\n23662 35380\n37879 56650\n93073 100000\n96747 100000\n19644 29371\n96782 100000\n59415 89108\n98668 100000\n74007 100000\n86116 100000\n7017 10495\n29488 44048\n66514 99797\n65063 97583\n29818 44559\n75082 100000\n36957 55253\n43531 65133\n26001 38851\n22195 33171\n51090 76547\n44077 65964\n19981 29873\n10861 16285\n8628 12918\n68752 100000\n25294 37788\n43987 65829\n57206 85777\n63860 95777\n61535 92315\n21934 32787\n54465 81643\n99284 100000\n11834 17740\n7692 11515\n73299 100000\n80719 100000\n55264 82854\n94198 100000\n27427 40977\n6445 9639\n7781 11647\n64760 97132\n13628 20416\n48533 72679\n3197 4822\n28473 42534\n25901 38699\n73576 100000\n9013 13521\n75314 100000\n80355 100000\n25582 38215\n51353 76945\n9912 14868\n11726 17582\n53265 79821\n71163 100000\n3471 5229\n60605 90908\n66027 99046\n51849 77708\n66958 100000\n18894 28264\n43473 65045\n5851 8757\n34169 51072\n93047 100000\n81095 100000\n52826 79176\n14809 22166\n74846 100000\n58789 88171\n4360 6556\n18616 27847\n70827 100000\n48841 73139\n69422 100000\n57129 85651\n24579 36736\n27438 40995\n17004 25434\n46191 69146\n20504 30674\n14418 21596\n92318 100000\n1940 2918\n37614 56241\n46230 69205\n38534 57653\n96626 100000\n50721 75979\n43555 65171\n23470 35103\n32095 47994\n31639 47318\n5861 8770\n42639 63799\n49045 73454\n31965 47796\n47678 71395\n21341 31901\n85681 100000\n80682 100000\n85187 100000\n98417 100000\n90163 100000\n29265 43725\n44994 67331\n80842 100000\n75070 100000\n76272 100000\n55070 82571\n58635 87943\n37726 56418\n64260 96381\n84676 100000\n61562 92354\n25182 37621\n81818 100000\n36964 55263\n18302 27385\n69629 100000\n12622 18923\n37019 55348\n84451 100000\n77870 100000\n13251 19855\n58303 87447\n609 926\n63534 95291\n98208 100000\n13936 20871\n13026 19524\n53071 79537\n21029 31441\n27110 40513\n64135 96194\n26878 40163\n36536 54632\n10275 15421\n31295 46792\n87363 100000\n61565 92359\n98287 100000\n91888 100000\n48674 72894\n81341 100000\n38170 57094\n85070 100000\n38991 58348\n4092 6162\n6898 10315\n7814 11696\n11381 17065\n3242 4889\n76805 100000\n94875 100000\n67503 100000\n4270 6422\n30661 45830\n36194 54111\n34232 51167\n49644 74376\n49464 74105\n1673 2531\n96811 100000\n33024 49373\n60275 90416\n16808 25139\n39687 59401\n75483 100000\n62057 93102\n20344 30424\n31089 46486\n61682 92530\n88879 100000\n66825 100000\n58158 87223\n71329 100000\n7451 11153\n18117 27114\n45855 68638\n26254 39244\n80225 100000\n41886 62666\n93069 100000\n33403 49929\n18078 27056\n87783 100000\n27899 41687\n17032 25476\n20780 31070\n54550 81772\n67284 100000\n90653 100000\n48775 73042\n18841 28181\n23748 35508\n80443 100000\n42023 62868\n87551 100000\n52629 78884\n28009 41853\n64069 96093\n1126 1721\n23186 34669\n10349 15526\n29424 43950\n90987 100000\n86500 100000\n51380 76987\n6897 10314\n91662 100000\n21845 32659\n29288 43756\n71525 100000\n8416 12596\n99639 100000\n85980 100000\n40830 61108\n81481 100000\n69833 100000\n50899 76254\n58760 88131\n36372 54386\n90494 100000\n52242 78297\n61561 92353\n52695 78986\n61298 91963\n26095 38996\n38415 57468\n67057 100000\n87135 100000\n46347 69382\n53024 79463\n18596 27817\n26259 39253\n96171 100000\n27235 40691\n51833 77682\n80137 100000\n29679 44351\n17608 26341\n27298 40789\n24989 37333\n63272 94906\n89613 100000\n30593 45724\n8664 12977\n48791 73065\n45948 68784\n35451 52997\n36587 54702\n22539 33694\n31174 46609\n80150 100000\n47189 70654\n87081 100000\n50536 75715\n45175 67609\n25644 38303\n98548 100000\n79523 100000\n25541 38159\n83267 100000\n81939 100000\n51397 77015\n36020 53846\n37031 55369\n91852 100000\n86711 100000\n49322 73887\n47883 71711\n13179 19747\n73817 100000\n50338 75420\n79526 100000\n9191 13791\n6479 9684\n80843 100000\n33979 50781\n43356 64868\n13372 20040\n66556 99863\n40935 61265\n60020 90031\n26696 39894\n69651 100000\n73890 100000\n95469 100000\n34171 51076\n62118 93199\n24844 37124\n82593 100000\n56739 85054\n52988 79414\n46388 69447\n40196 60159\n80562 100000\n58997 88477\n75142 100000\n21958 32821\n43513 65107\n23604 35294\n54493 81688\n62600 93908\n30148 45055\n367 550\n2312 3487\n23369 34946\n48577 72747\n3625 5446\n36168 54072\n24843 37123\n99210 100000\n34198 51116\n91159 100000\n79908 100000\n52915 79305\n79649 100000\n21948 32807\n56612 84869\n71873 100000\n45123 67528\n32454 48525\n3557 5353\n19564 29248\n7131 10667\n81888 100000\n48945 73301\n43437 64994\n67524 100000\n82526 100000\n24558 36705\n30521 45621\n84532 100000\n86106 100000\n27102 40502\n17957 26877\n22497 33627\n22723 33980\n96300 100000\n1334 2024\n46110 69024\n2183 3290\n96677 100000\n72646 100000\n60953 91427\n96659 100000\n57405 86079\n11448 17168\n28338 42349\n78344 100000\n85511 100000\n46685 69902\n53981 80915\n38717 57937\n20822 31130\n43093 64474\n40175 60126\n28190 42127\n97681 100000\n18724 28010\n33932 50705\n38796 58050\n27037 40402\n77742 100000\n66580 99899\n94141 100000\n26474 39574\n59639 89453\n37650 56298\n16542 24749\n83758 100000\n49738 74518\n15468 23157\n87201 100000\n35308 52783\n75540 100000\n57971 86950\n34524 51614\n79795 100000\n17845 26696\n48886 73207\n92535 100000\n97518 100000\n35820 53548\n29080 43450\n56480 84672\n26989 40331\n96229 100000\n75423 100000\n78400 100000\n88448 100000\n65306 97952\n2565 3865\n59427 89129\n1399 2121\n55290 82893\n30406 45450\n46573 69732\n7348 11000\n52369 78492\n27160 40587\n58103 87148\n20403 30514\n33077 49454\n10464 15697\n1480 2243\n3521 5301\n31322 46835\n78935 100000\n78170 100000\n98422 100000\n41334 61871\n52971 79394\n51629 77363\n61640 92465\n55267 82860\n13366 20031\n58906 88345\n55796 83646\n71652 100000\n7652 11454\n4907 7376\n45754 68484\n13409 20093\n55390 83037\n87480 100000\n57059 85545\n37940 56740\n38246 57214\n55449 83124\n61381 92088\n54179 81222\n40280 60273\n64536 96792\n54772 82114\n10261 15399\n98166 100000\n95095 100000\n78516 100000\n75626 100000\n11337 16995\n24905 37216\n63050 94574\n86971 100000\n52207 78240\n50010 74920\n39733 59472\n34689 51865\n634 966\n37371 55880\n21550 32221\n61425 92150\n30871 46153\n60181 90274\n35105 52478\n41058 61453\n92222 100000\n86070 100000\n36186 54098\n90538 100000\n96113 100000\n84054 100000\n52212 78247\n71018 100000\n89661 100000\n65209 97810\n26621 39788\n29588 44199\n66112 99179\n12780 19160\n64075 96101\n77204 100000\n62227 93366\n87626 100000\n14490 21701\n86422 100000\n33192 49624\n24078 36012\n35679 53339\n73649 100000\n89577 100000\n70114 100000\n97660 100000\n31866 47647\n49488 74139\n27061 40439\n53997 80941\n57155 85696\n49759 74550\n861 1312\n28605 42730\n69264 100000\n50355 75446\n49895 74753\n29654 44311\n61959 92952\n53596 80337\n36542 54641\n83445 100000\n42580 63708\n57659 86470\n1890 2847\n95278 100000\n32361 48390\n75094 100000\n34892 52162\n92425 100000\n37497 56065\n97444 100000\n38895 58198\n73017 100000\n3045 4588\n53320 79908\n16296 24397\n42619 63766\n82401 100000\n66083 99134\n41157 61600\n71253 100000\n62207 93336\n83057 100000\n52070 78037\n96132 100000\n68477 100000\n40668 60865\n61874 92824\n12658 18976\n45581 68224\n67631 100000\n38194 57133\n25136 37552\n24633 36819\n82890 100000\n60888 91336\n90882 100000\n28637 42780\n27103 40503\n16664 24927\n17057 25514\n98011 100000\n32512 48610\n23429 35034\n26494 39607\n40541 60675\n75937 100000\n17692 26466\n25474 38061\n8073 12088\n54600 81846\n82589 100000\n23498 35148\n30350 45363\n83331 100000\n61048 91569\n93124 100000\n71637 100000\n40959 61301\n94070 100000\n46661 69867\n81689 100000\n1203 1833\n2370 3578\n40157 60098\n42027 62874\n73711 100000\n42916 64214\n89503 100000\n69606 100000\n41736 62449\n9204 13814\n47269 70777\n75145 100000\n4710 7083\n95930 100000\n12777 19155\n77720 100000\n70820 100000\n48910 73246\n66749 100000\n10737 16108\n8764 13132\n28736 42932\n15726 23554\n1103 1685\n69850 100000\n90043 100000\n56127 84138\n18525 27718\n41907 62698\n62587 93888\n94996 100000\n46489 69607\n77905 100000\n25517 38123\n95683 100000\n59073 88585\n12984 19464\n84384 100000\n53663 80444\n61679 92525\n77844 100000\n94732 100000\n77265 100000\n87296 100000\n80208 100000\n52009 77945\n99326 100000\n25851 38626\n96238 100000\n16346 24466\n60385 90576\n55917 83826\n59049 88547\n13864 20764\n85312 100000\n85120 100000\n43718 65419\n27504 41093\n14715 22030\n44375 66412\n10172 15258\n37703 56380\n87246 100000\n39617 59294\n2789 4206\n62091 93157\n80212 100000\n1152 1762\n79822 100000\n93485 100000\n45432 67998\n82046 100000\n99737 100000\n93921 100000\n30467 45543\n85882 100000\n63675 95509\n85997 100000\n8953 13426\n55 80\n81261 100000\n53434 80087\n27678 41351\n51647 77388\n91113 100000\n45678 68367\n19096 28552\n37035 55375\n44568 66697\n60059 90089\n41173 61624\n70285 100000\n58337 87502\n14139 21175\n33948 50731\n8952 13425\n95914 100000\n62367 93573\n56372 84510\n26117 39032\n1565 2369\n15828 23695\n27128 40541\n23838 35646\n73796 100000\n53031 79474\n3085 4653\n31004 46354\n43805 65554\n90585 100000\n11148 16708\n73820 100000\n14150 21194\n54878 82273\n67825 100000\n75987 100000\n95667 100000\n34350 51340\n87582 100000\n69815 100000\n27588 41220\n66463 99718\n96658 100000\n71891 100000\n32235 48206\n61511 92278\n97327 100000\n76848 100000\n66410 99638\n82163 100000\n92282 100000\n44348 66372\n49523 74195\n34811 52044\n6158 9218\n29888 44672\n9623 14425\n85934 100000\n83662 100000\n59203 88783\n21519 32175\n15657 23451\n81688 100000\n95359 100000\n52216 78252\n21762 32537\n28417 42457\n72034 100000\n19492 29143\n47043 70430\n81320 100000\n24531 36662\n6282 9403\n95061 100000\n62370 93578\n53159 79669\n54112 81118\n72617 100000\n29711 44401\n37724 56415\n85872 100000\n29968 44791\n84990 100000\n81443 100000\n33730 50413\n35251 52694\n52446 78605\n27055 40429\n87171 100000\n43538 65144\n21910 32751\n23483 35123\n35128 52512\n40318 60333\n16154 24188\n90202 100000\n61149 91727\n23340 34903\n14268 21376\n82871 100000\n22221 33205\n8093 12117\n32270 48256\n6565 9811\n87503 100000\n96166 100000\n5569 8351\n92720 100000\n45809 68567\n88496 100000\n79185 100000\n95643 100000\n16626 24873\n85805 100000\n79281 100000\n93005 100000\n76476 100000\n72619 100000\n52316 78413\n22633 33837\n64493 96722\n8232 12322\n93973 100000\n16 23\n70802 100000\n34061 50906\n90132 100000\n41383 61940\n9457 14189\n59876 89806\n862 1314\n1672 2529\n62327 93516\n66014 99027\n78503 100000\n490 741\n89608 100000\n38171 57095\n74726 100000\n44011 65865\n59542 89305\n53075 79544\n20616 30831\n72876 100000\n62971 94458\n96962 100000\n81531 100000\n93659 100000\n920 1402\n76308 100000\n76838 100000\n3115 4698\n57537 86283\n70425 100000\n7644 11441\n88645 100000\n22409 33491\n90334 100000\n65536 98304\n32506 48604\n36429 54476\n35518 53096\n18234 27284\n39341 58888\n69643 100000\n49286 73831\n79417 100000\n68818 100000\n32706 48898\n95637 100000\n40021 59893\n27031 40395\n39623 59303\n84060 100000\n74062 100000\n32115 48024\n87736 100000\n86391 100000\n94549 100000\n28705 42891\n41159 61603\n50254 75289\n87803 100000\n81731 100000\n77674 100000\n72806 100000\n4278 6432\n37740 56439\n66452 99699\n67749 100000\n5444 8163\n16230 24300\n38798 58053\n23386 34969\n32422 48478\n27981 41808\n87621 100000\n20696 30949\n5438 8154\n23627 35330\n22320 33354\n85923 100000\n59448 89162\n95897 100000\n98599 100000\n87372 100000\n66503 99777\n18715 27996\n27132 40547\n94284 100000\n51390 77001\n79759 100000\n63185 94776\n39544 59182\n10722 16086\n6459 9657\n24766 37011\n13930 20862\n91181 100000\n2280 3438\n86353 100000\n5629 8436\n65706 98559\n36337 54332\n73893 100000\n87016 100000\n37989 56813\n53341 79941\n14466 21669\n25019 37373\n24231 36236\n33978 50780\n68091 100000\n36999 55319\n76693 100000\n53351 79955\n78370 100000\n83705 100000\n86768 100000\n96049 100000\n1814 2728\n8578 12838\n12079 18121\n71201 100000\n34402 51421\n3539 5327\n35720 53401\n75638 100000\n46595 69764\n31339 46856\n74886 100000\n51479 77135\n76460 100000\n28398 42428\n62250 93400\n19409 29025\n79881 100000\n63557 95329\n99687 100000\n28440 42492\n45657 68337\n38038 56892\n69089 100000\n54036 81004\n81427 100000\n71466 100000\n24005 35906\n75140 100000\n51495 77157\n49248 73778\n15691 23502\n95177 100000\n75843 100000\n37596 56212\n80953 100000\n97486 100000\n81834 100000\n75580 100000\n68342 100000\n63090 94635\n15035 22508\n3812 5735\n56076 84062\n40827 61103\n98547 100000\n50633 75857\n9243 13872\n96159 100000\n75522 100000\n30479 45559\n37258 55714\n49315 73874\n83049 100000\n11480 17215\n15092 22591\n23196 34684\n27767 41485\n43999 65848\n9756 14637\n5913 8850\n68225 100000\n94594 100000\n43480 65055\n25142 37559\n95671 100000\n87253 100000\n143 214\n28922 43215\n39982 59837\n63351 95032\n1978 2975\n75708 100000\n19070 28512\n89103 100000\n16105 24118\n52924 79319\n29359 43855\n68823 100000\n33157 49572\n26811 40065\n71764 100000\n21625 32331\n55018 82492\n56814 85166\n14000 20970\n62833 94252\n72755 100000\n18956 28354\n3264 4922\n15345 22973\n15967 23908\n43004 64340\n35333 52822\n33279 49750\n4910 7379\n72226 100000\n9975 14958\n62034 93064\n65945 98920\n70866 100000\n98112 100000\n12885 19317\n24172 36146\n34868 52124\n54135 81154\n41436 62013\n46136 69061\n75778 100000\n88400 100000\n85309 100000\n64698 97037\n20583 30786\n53518 80220\n278 420\n55051 82543\n89029 100000\n88308 100000\n94072 100000\n62411 93630\n36563 54669\n6134 9185\n70487 100000\n74540 100000\n78950 100000\n28515 42592\n23412 35006\n68083 100000\n72508 100000\n31836 47600\n66213 99336\n14473 21680\n31655 47344\n80853 100000\n88361 100000\n80035 100000\n30118 45010\n24162 36134\n98130 100000\n43408 64947\n27444 41005\n66108 99171\n39889 59704\n76450 100000\n30592 45722\n47487 71113\n73410 100000\n29722 44419\n16540 24747\n10373 15563\n78877 100000\n35412 52939\n38939 58270\n52702 78995\n22544 33703\n57557 86316\n48325 72368\n51805 77640\n69932 100000\n63934 95892\n28696 42878\n60941 91409\n45537 68156\n43293 64777\n43746 65461\n41646 62320\n39365 58918\n44717 66917\n45745 68468\n69487 100000\n63494 95235\n31526 47143\n94850 100000\n33687 50348\n91539 100000\n55474 83160\n89142 100000\n54917 82334\n81676 100000\n43386 64916\n45210 67658\n80760 100000\n83192 100000\n36955 55249\n64927 97379\n54888 82289\n70527 100000\n9615 14415\n8137 12184\n3895 5866\n55951 83876\n21092 31538\n13063 19578\n11273 16903\n24871 37164\n88975 100000\n10351 15529\n65065 97585\n15614 23383\n20446 30581\n92523 100000\n42304 63302\n47158 70611\n78885 100000\n29458 44002\n43465 65032\n8036 12031\n16826 25161\n59959 89938\n81585 100000\n82134 100000\n85914 100000\n45956 68794\n59684 89517\n51248 76781\n6908 10331\n83596 100000\n40463 60557\n953 1453\n25611 38259\n42734 63944\n86038 100000\n31757 47489\n40637 60821\n38801 58058\n55872 83755\n6444 9638\n44151 66073\n29855 44617\n88381 100000\n43904 65709\n40897 61207\n34280 51234\n25415 37979\n34074 50927\n81944 100000\n21676 32404\n97607 100000\n3421 5151\n40578 60731\n91956 100000\n58149 87209\n37500 56070\n62857 94289\n49599 74316\n2301 3469\n82333 100000\n40690 60897\n8815 13212\n32369 48404\n26131 39052\n85974 100000\n2088 3149\n31312 46820\n49459 74097\n75341 100000\n12279 18419\n410 618\n57755 86624\n32387 48429\n89010 100000\n68847 100000\n75545 100000\n28065 41935\n91480 100000\n8408 12587\n10346 15523\n7006 10481\n57526 86268\n75461 100000\n92856 100000\n58169 87237\n39100 58508\n31087 46484\n86616 100000\n71651 100000\n78894 100000\n38897 58201\n72253 100000\n13974 20930\n48525 72666\n6834 10225\n5473 8204\n47021 70397\n17410 26050\n25135 37551\n76162 100000\n37065 55424\n17583 26302\n52101 78086\n21276 31804\n72850 100000\n40834 61114\n41514 62126\n24692 36899\n26846 40114\n36908 55180\n59898 89838\n53742 80561\n90241 100000\n48694 72926\n86459 100000\n19030 28452\n11535 17296\n62495 93749\n61680 92527\n47839 71643\n43063 64425\n79892 100000\n61613 92423\n86448 100000\n49735 74514\n65042 97553\n99929 100000\n62390 93604\n40219 60192\n47296 70815\n97668 100000\n57394 86059\n19595 29295\n51724 77506\n73431 100000\n1363 2068\n12078 18120\n36406 54441\n70411 100000\n97370 100000\n71102 100000\n19265 28807\n54948 82383\n47555 71220\n72196 100000\n65315 97967\n91782 100000\n28881 43157\n46470 69578\n60492 90744\n14685 21983\n39042 58424\n66347 99535\n69299 100000\n71981 100000\n13354 20014\n13320 19961\n54540 81758\n63256 94882\n18357 27467\n34106 50977\n94448 100000\n39788 59553\n30960 46284\n90951 100000\n97870 100000\n37507 56082\n41774 62500\n85288 100000\n65956 98936\n11287 16922\n406 611\n75939 100000\n30810 46061\n42905 64200\n92232 100000\n86271 100000\n36877 55134\n49746 74530\n10754 16132\n88511 100000\n60009 90015\n88756 100000\n46487 69604\n92140 100000\n21033 31448\n85340 100000\n97443 100000\n44109 66013\n57101 85608\n95257 100000\n56523 84735\n81174 100000\n81794 100000\n48149 72110\n34786 52010\n89634 100000\n44945 67261\n80477 100000\n9568 14345\n50447 75580\n88489 100000\n71072 100000\n84851 100000\n66954 100000\n59225 88817\n84296 100000\n60524 90791\n92287 100000\n57725 86575\n61216 91832\n81178 100000\n30651 45814\n89651 100000\n94971 100000\n16954 25359\n73436 100000\n50483 75638\n79271 100000\n1874 2821\n18858 28207\n57744 86605\n23241 34754\n86542 100000\n16791 25113\n21035 31451\n80170 100000\n75766 100000\n70967 100000\n82637 100000\n88509 100000\n4542 6831\n59114 88647\n49121 73576\n67404 100000\n61826 92748\n65394 98086\n6705 10031\n71581 100000\n50735 76001\n76589 100000\n29662 44322\n23882 35714\n45703 68408\n89252 100000\n68365 100000\n82095 100000\n15883 23781\n30011 44857\n44232 66191\n90774 100000\n61166 91758\n65056 97573\n40407 60476\n19086 28536\n75024 100000\n18439 27592\n60183 90278\n55511 83212\n27422 40970\n85399 100000\n23439 35052\n70321 100000\n74926 100000\n5288 7937\n40663 60857\n98536 100000\n84909 100000\n82328 100000\n77186 100000\n68318 100000\n33767 50461\n24567 36718\n7398 11074\n6956 10398\n82045 100000\n24326 36372\n17741 26537\n39014 58384\n18954 28351\n88590 100000\n84982 100000\n57768 86643\n6030 9029\n93504 100000\n4510 6779\n896 1366\n89090 100000\n59199 88776\n57877 86805\n55014 82488\n82787 100000\n44296 66291\n57340 85984\n1958 2945\n8081 12099\n62813 94220\n77050 100000\n44289 66281\n51746 77540\n93082 100000\n2421 3654\n97688 100000\n43695 65387\n80500 100000\n51096 76556\n77154 100000\n41010 61381\n46666 69874\n50364 75457\n35362 52865\n82696 100000\n33082 49464\n54411 81565\n23264 34789\n28280 42263\n26826 40085\n16692 24969\n89091 100000\n50087 75033\n75321 100000\n18404 27540\n84428 100000\n1997 3005\n4776 7185\n82612 100000\n81027 100000\n86104 100000\n75494 100000\n46188 69142\n58213 87308\n41762 62483\n36441 54491\n70814 100000\n73665 100000\n48896 73224\n92401 100000\n46099 69010\n14968 22409\n83778 100000\n7330 10973\n58322 87478\n38626 57800\n40228 60204\n84477 100000\n11735 17593\n22836 34142\n18532 27726\n91375 100000\n95072 100000\n60766 91152\n50734 76000\n85663 100000\n98747 100000\n76384 100000\n13405 20087\n97185 100000\n23803 35595\n76888 100000\n74236 100000\n81700 100000\n20024 29935\n40380 60433\n35213 52636\n98769 100000\n80024 100000\n5824 8719\n51503 77170\n77123 100000\n62399 93615\n20300 30360\n916 1395\n69163 100000\n12176 18261\n25304 37802\n83154 100000\n95861 100000\n19218 28735\n44638 66807\n80606 100000\n92819 100000\n79340 100000\n64064 96087\n86777 100000\n20031 29947\n2374 3585\n61867 92811\n12942 19399\n7450 11151\n64196 96286\n15446 23127\n27434 40990\n47047 70435\n76063 100000\n4130 6215\n67436 100000\n12569 18844\n12226 18339\n32194 48146\n26635 39807\n8545 12792\n66837 100000\n18237 27289\n59819 89722\n14021 20999\n33348 49852\n63216 94822\n1917 2884\n70026 100000\n87583 100000\n40040 59922\n52376 78502\n2229 3360\n86298 100000\n51834 77684\n13827 20709\n94423 100000\n58563 87841\n28751 42955\n47644 71347\n23071 34497\n83362 100000\n54018 80973\n88096 100000\n35979 53782\n61189 91791\n53820 80670\n65855 98780\n36495 54568\n3214 4846\n94075 100000\n75829 100000\n41712 62411\n59576 89356\n9042 13563\n12855 19270\n56722 85030\n88523 100000\n99755 100000\n48545 72697\n51230 76753\n88813 100000\n85560 100000\n36505 54582\n98880 100000\n64397 96579\n24246 36258\n68585 100000\n56113 84117\n58873 88296\n99873 100000\n19238 28765\n55067 82567\n64783 97161\n81777 100000\n75989 100000\n61964 92961\n90704 100000\n74009 100000\n94298 100000\n70921 100000\n85071 100000\n98593 100000\n85493 100000\n89732 100000\n71884 100000\n60988 91476\n39503 59120\n57786 86674\n31568 47203\n85602 100000\n82469 100000\n11964 17942\n27807 41547\n8724 13072\n48355 72414\n43926 65745\n18915 28292\n38662 57854\n1578 2392\n14009 20984\n72825 100000\n64351 96517\n86019 100000\n71728 100000\n10762 16147\n77187 100000\n48752 73010\n21894 32727\n99863 100000\n62585 93885\n26765 39997\n2308 3481\n64285 96414\n68206 100000\n64380 96555\n74757 100000\n89922 100000\n30098 44983\n44494 66588\n19773 29559\n86067 100000\n76142 100000\n94112 100000\n29852 44613\n64908 97350\n22751 34022\n86874 100000\n61891 92852\n53428 80077\n94332 100000\n44014 65870\n2647 3989\n84456 100000\n54764 82103\n94302 100000\n81691 100000\n47973 71847\n24180 36159\n79581 100000\n37142 55541\n2578 3886\n37742 56441\n66941 100000\n64836 97242\n44908 67199\n91910 100000\n3574 5376\n47592 71273\n59432 89137\n41097 61510\n11992 17984\n69375 100000\n54300 81394\n14803 22158\n8102 12131\n87290 100000\n53758 80584\n16137 24165\n86047 100000\n80814 100000\n66355 99548\n54011 80962\n27152 40574\n5458 8185\n43562 65181\n24166 36138\n26938 40254\n49574 74273\n32701 48892\n20747 31019\n42600 63737\n47115 70543\n8420 12601\n44721 66923\n48455 72557\n33471 50034\n15549 23282\n96298 100000\n75714 100000\n71634 100000\n469 709\n93737 100000\n31301 46802\n78160 100000\n83365 100000\n56766 85093\n5664 8487\n95616 100000\n273 413\n10494 15745\n24156 36125\n114 174\n50740 76011\n84962 100000\n97003 100000\n73372 100000\n58630 87936\n82340 100000\n7276 10891\n13423 20115\n90012 100000\n90645 100000\n69148 100000\n33094 49483\n48933 73282\n82040 100000\n42968 64291\n81082 100000\n14210 21290\n38834 58108\n43370 64890\n19362 28945\n90809 100000\n24599 36767\n91974 100000\n37528 56114\n40291 60290\n298 448\n57428 86115\n12673 19003\n78332 100000\n92961 100000\n65542 98314\n33119 49518\n69899 100000\n73362 100000\n77626 100000\n75531 100000\n13838 20726\n10859 16281\n62191 93312\n16027 24001\n11773 17653\n88392 100000\n83949 100000\n55005 82474\n6687 10003\n71980 100000\n53611 80360\n58025 87030\n55904 83805\n52868 79236\n56973 85408\n71296 100000\n71974 100000\n27831 41586\n98248 100000\n81197 100000\n29842 44598\n60634 90954\n73727 100000\n5666 8490\n79345 100000\n34830 52072\n50424 75544\n45709 68417\n74405 100000\n99548 100000\n73023 100000\n87743 100000\n45449 68023\n61449 92183\n53684 80476\n90966 100000\n33505 50079\n27928 41731\n57558 86317\n18734 28026\n28992 43320\n5522 8279\n30905 46201\n32215 48179\n25439 38010\n13866 20766\n28097 41983\n14348 21491\n81842 100000\n9026 13538\n73014 100000\n35809 53534\n8061 12069\n72540 100000\n3346 5033\n81457 100000\n28665 42826\n62907 94368\n52919 79310\n55565 83297\n71847 100000\n28024 41874\n66758 100000\n85019 100000\n96490 100000\n97710 100000\n41064 61461\n34477 51539\n78441 100000\n64630 96939\n41393 61953\n60584 90882\n47017 70391\n44452 66524\n63738 95601\n21453 32072\n62969 94454\n45352 67876\n70549 100000\n38765 58005\n72380 100000\n95085 100000\n60761 91146\n14167 21221\n16356 24481\n2097 3163\n77654 100000\n50291 75345\n34185 51095\n83820 100000\n1594 2414\n12472 18699\n42164 63088\n11336 16994\n23991 35882\n1345 2041\n96390 100000\n78728 100000\n51296 76855\n22126 33071\n52666 78936\n37753 56456\n85912 100000\n64006 96001\n18107 27098\n73764 100000\n83653 100000\n32863 49132\n3002 4524\n71513 100000\n75745 100000\n52191 78214\n21475 32104\n65104 97643\n78682 100000\n68215 100000\n24622 36804\n3451 5197\n73292 100000\n14499 21715\n32673 48853\n67421 100000\n61341 92032\n80611 100000\n51416 77044\n71707 100000\n57516 86251\n47775 71550\n99360 100000\n73423 100000\n11634 17442\n53391 80019\n41137 61571\n75718 100000\n15356 22989\n19192 28696\n13901 20815\n64981 97455\n47113 70539\n71502 100000\n46336 69365\n40299 60303\n19159 28648\n47596 71278\n30454 45525\n23766 35536\n15767 23611\n74564 100000\n68178 100000\n81656 100000\n50350 75438\n32062 47945\n21447 32063\n32475 48555\n89467 100000\n97030 100000\n14283 21401\n74135 100000\n84417 100000\n70264 100000\n98755 100000\n77537 100000\n58473 87706\n52782 79112\n77875 100000\n84455 100000\n69490 100000\n8165 12225\n76816 100000\n3077 4640\n97203 100000\n26842 40108\n90701 100000\n30051 44914\n74972 100000\n89963 100000\n59236 88833\n90480 100000\n1631 2470\n48171 72142\n72205 100000\n76260 100000\n84512 100000\n55599 83349\n65800 98703\n70330 100000\n21785 32570\n48448 72547\n94602 100000\n91069 100000\n16248 24330\n30737 45955\n51631 77367\n63677 95512\n7721 11558\n12504 18746\n10826 16234\n25770 38499\n69232 100000\n34019 50842\n71942 100000\n81350 100000\n95381 100000\n51155 76639\n29680 44352\n81425 100000\n10757 16137\n1871 2816\n11483 17221\n81157 100000\n85027 100000\n50515 75686\n47368 70932\n270 408\n97579 100000\n6292 9416\n46309 69324\n6524 9754\n25796 38537\n21220 31725\n81124 100000\n5646 8463\n80397 100000\n53707 80510\n20284 30334\n31672 47372\n91882 100000\n20400 30511\n37859 56619\n10761 16145\n9385 14075\n86340 100000\n39946 59786\n38365 57392\n68550 100000\n12620 18920\n44108 66012\n12999 19484\n89322 100000\n63782 95665\n4913 7384\n68603 100000\n52789 79124\n49514 74178\n98038 100000\n9641 14455\n41605 62260\n91523 100000\n36321 54303\n19247 28779\n97343 100000\n22057 32969\n56040 84008\n82928 100000\n30974 46307\n18874 28234\n42897 64188\n47915 71760\n78959 100000\n75337 100000\n31761 47495\n51077 76525\n43593 65234\n87462 100000\n98360 100000\n59344 88996\n75318 100000\n97156 100000\n4800 7221\n29430 43960\n20053 29980\n53875 80753\n50145 75124\n94272 100000\n68109 100000\n99383 100000\n33408 49936\n30751 45977\n44161 66089\n898 1370\n41196 61663\n93945 100000\n69430 100000\n7178 10740\n84665 100000\n84837 100000\n84873 100000\n24420 36502\n60618 90930\n82193 100000\n19810 29611\n52841 79197\n71053 100000\n97141 100000\n575 873\n56576 84813\n48705 72940\n76205 100000\n55574 83311\n30976 46310\n52243 78299\n34981 52292\n39974 59825\n10828 16236\n38971 58318\n79305 100000\n48913 73249\n44845 67104\n77180 100000\n26798 40043\n46199 69157\n60982 91467\n64573 96850\n35931 53716\n63117 94678\n89224 100000\n55308 82916\n57400 86070\n26321 39347\n59484 89215\n93913 100000\n36579 54691\n49431 74056\n64634 96943\n24929 37252\n83979 100000\n54909 82323\n16685 24959\n46571 69730\n41201 61670\n47610 71297\n44353 66381\n76797 100000\n17391 26019\n88762 100000\n93041 100000\n84073 100000\n92544 100000\n50163 75150\n32429 48487\n80039 100000\n51786 77609\n8023 12011\n99808 100000\n49639 74370\n4788 7207\n62378 93590\n18627 27862\n97999 100000\n88698 100000\n5907 8841\n47346 70896\n41232 61714\n74418 100000\n4243 6384\n17267 25837\n1181 1802\n83236 100000\n72975 100000\n81153 100000\n24471 36576\n97722 100000\n43739 65452\n46229 69203\n78297 100000\n43872 65659\n33719 50394\n35787 53499\n6413 9598\n96551 100000\n72735 100000\n53651 80426\n4699 7067\n36700 54857\n9397 14093\n83841 100000\n38410 57462\n27122 40531\n81707 100000\n21916 32761\n47910 71753\n63132 94697\n73980 100000\n33455 50010\n75074 100000\n61137 91708\n85456 100000\n41926 62726\n62230 93370\n31637 47314\n3509 5283\n40214 60185\n65665 98499\n16482 24658\n26996 40341\n69036 100000\n27313 40810\n31632 47306\n34708 51894\n36910 55182\n42484 63566\n61250 91891\n39537 59170\n61068 91601\n38921 58239\n92145 100000\n22623 33823\n78289 100000\n64842 97251\n27440 40999\n90616 100000\n11517 17269\n63233 94847\n39976 59829\n74589 100000\n14908 22324\n28552 42649\n66030 99051\n3371 5073\n72770 100000\n85294 100000\n70783 100000\n56285 84372\n94646 100000\n67785 100000\n82090 100000\n8813 13208\n23325 34881\n7262 10870\n18889 28257\n59798 89688\n95782 100000\n54014 80967\n69736 100000\n27598 41236\n23570 35244\n27618 41269\n78324 100000\n77070 100000\n53227 79767\n43236 64694\n30918 46221\n604 920\n2878 4337\n81335 100000\n64788 97169\n14024 21004\n42385 63426\n12812 19206\n13840 20729\n23375 34954\n37322 55806\n48693 72924\n15405 23063\n27755 41467\n66928 100000\n12928 19378\n86857 100000\n65219 97824\n2542 3832\n83181 100000\n88766 100000\n92083 100000\n63244 94864\n4513 6783\n73837 100000\n20851 31172\n97004 100000\n31601 47253\n67314 100000\n28458 42517\n23660 35377\n98066 100000\n41994 62820\n47305 70828\n89383 100000\n58077 87108\n3006 4531\n25929 38740\n80280 100000\n20245 30277\n77266 100000\n438 661\n20861 31186\n21508 32157\n13643 20440\n26271 39272\n59523 89275\n11385 17071\n89594 100000\n47473 71093\n43828 65591\n33483 50053\n54575 81808\n83441 100000\n96088 100000\n22756 34029\n43632 65295\n36566 54673\n10917 16372\n58141 87199\n95108 100000\n60258 90391\n62156 93258\n75467 100000\n27386 40918\n42217 63163\n96135 100000\n92717 100000\n78996 100000\n54786 82136\n15829 23697\n70978 100000\n76268 100000\n72170 100000\n36755 54943\n26642 39818\n32740 48949\n94601 100000\n87523 100000\n93292 100000\n46947 70288\n49013 73403\n73979 100000\n29011 43351\n94523 100000\n49682 74433\n86520 100000\n41759 62479\n99349 100000\n20319 30386\n57653 86461\n57439 86133\n82431 100000\n62380 93592\n21569 32248\n14097 21113\n90732 100000\n59813 89713\n53375 79998\n72462 100000\n75098 100000\n31165 46597\n41999 62829\n46083 68984\n12778 19157\n39483 59091\n46178 69128\n28034 41890\n58599 87892\n34690 51867\n16770 25084\n63715 95568\n542 822\n14393 21556\n63992 95982\n49742 74524\n34776 51994\n10580 15876\n15225 22790\n33175 49600\n96954 100000\n99095 100000\n18349 27454\n8706 13043\n13340 19990\n86662 100000\n21563 32239\n84835 100000\n11491 17231\n88429 100000\n50377 75477\n55791 83638\n32953 49267\n43795 65540\n11708 17558\n65653 98482\n96564 100000\n59881 89813\n5430 8143\n79355 100000\n9997 14992\n27083 40476\n79823 100000\n27176 40608\n14467 21671\n22567 33735\n32525 48631\n78601 100000\n65412 98116\n18607 27834\n39580 59239\n76202 100000\n26050 38927\n15476 23169\n85878 100000\n13907 20826\n31794 47542\n89434 100000\n98309 100000\n30809 46060\n20479 30633\n12245 18369\n69836 100000\n69975 100000\n76829 100000\n51627 77360\n41050 61440\n93061 100000\n87012 100000\n1816 2731\n4131 6217\n67899 100000\n1763 2654\n35241 52678\n12640 18949\n88141 100000\n69126 100000\n38756 57994\n22737 34000\n65480 98220\n52328 78430\n56961 85392\n69816 100000\n74829 100000\n50852 76180\n90919 100000\n62875 94315\n95170 100000\n95698 100000\n92911 100000\n87140 100000\n26458 39548\n94295 100000\n25684 38368\n92067 100000\n60651 90979\n15198 22751\n94918 100000\n33646 50287\n99994 100000\n91760 100000\n72642 100000\n86201 100000\n3929 5925\n72952 100000\n92600 100000\n23992 35884\n30203 45143\n92035 100000\n1274 1936\n73726 100000\n63459 95188\n45471 68059\n58134 87190\n4912 7382\n73135 100000\n65797 98698\n21769 32546\n77526 100000\n33151 49564\n83300 100000\n65223 97830\n10013 15018\n79681 100000\n36989 55300\n10557 15840\n93338 100000\n60243 90371\n40977 61328\n1790 2693\n25137 37553\n82215 100000\n93290 100000\n43604 65254\n4996 7509\n83127 100000\n37509 56086\n54420 81577\n87995 100000\n73146 100000\n37597 56214\n30380 45411\n59466 89190\n96260 100000\n4795 7215\n65054 97570\n766 1167\n89413 100000\n98024 100000\n84832 100000\n68782 100000\n77059 100000\n36313 54292\n43024 64368\n25081 37469\n45224 67683\n43692 65382\n41779 62506\n74634 100000\n74404 100000\n62655 93982\n40362 60405\n14214 21296\n65529 98293\n34751 51960\n24151 36119\n24293 36323\n65714 98572\n89875 100000\n20794 31089\n82831 100000\n50472 75621\n78476 100000\n44237 66200\n22568 33737\n22927 34279\n94554 100000\n88895 100000\n3178 4791\n47293 70811\n55634 83402\n22984 34360\n19803 29600\n17505 26190\n21557 32230\n34614 51753\n18595 27816\n49927 74800\n67868 100000\n87689 100000\n97812 100000\n24685 36890\n39371 58926\n49174 73655\n10151 15226\n93725 100000\n81275 100000\n50840 76161\n78836 100000\n78341 100000\n95102 100000\n69518 100000\n67666 100000\n77174 100000\n83449 100000\n64913 97359\n71320 100000\n6561 9805\n28142 42051\n54696 81997\n21777 32558\n34543 51646\n77057 100000\n88705 100000\n56324 84436\n65513 98269\n4026 6069\n19666 29404\n61781 92677\n58294 87434\n56867 85247\n20610 30820\n38949 58284\n28028 41880\n8237 12330\n20873 31202\n97260 100000\n32606 48753\n9321 13986\n59870 89796\n86585 100000\n18943 28335\n10223 15341\n66908 100000\n21358 31928\n74657 100000\n30500 45592\n43189 64620\n54619 81878\n72719 100000\n75186 100000\n73409 100000\n75191 100000\n2327 3512\n71774 100000\n34579 51701\n63626 95434\n77167 100000\n36812 55031\n42497 63585\n89124 100000\n80283 100000\n37067 55428\n57796 86688\n63104 94656\n23908 35755\n69390 100000\n83349 100000\n22661 33884\n73170 100000\n88130 100000\n45866 68657\n4767 7171\n93828 100000\n95068 100000\n43664 65340\n61458 92195\n94657 100000\n52964 79383\n61607 92416\n2545 3837\n58440 87657\n56499 84701\n14310 21441\n21080 31520\n37046 55394\n63414 95122\n98496 100000\n58480 87714\n89725 100000\n3789 5698\n56929 85342\n20844 31162\n5504 8250\n6320 9461\n70072 100000\n24718 36944\n85959 100000\n44995 67332\n68528 100000\n24249 36262\n46015 68885\n47150 70598\n40155 60095\n5568 8350\n84311 100000\n88236 100000\n97577 100000\n59144 88694\n67153 100000\n93438 100000\n30442 45505\n18995 28410\n77418 100000\n63572 95351\n12571 18848\n73854 100000\n68389 100000\n85705 100000\n2458 3710\n51303 76867\n8951 13424\n90495 100000\n44357 66386\n66959 100000\n890 1359\n13893 20804\n78579 100000\n50268 75310\n71139 100000\n83167 100000\n43000 64333\n31525 47141\n80214 100000\n16306 24412\n58698 88041\n83178 100000\n19863 29695\n69119 100000\n69977 100000\n93758 100000\n40760 61002\n41673 62361\n63767 95643\n35394 52909\n44633 66800\n53716 80525\n27296 40786\n76495 100000\n7871 11782\n18928 28313\n20975 31354\n94544 100000\n3329 5009\n17716 26500\n76207 100000\n68836 100000\n8145 12196\n79667 100000\n9051 13579\n54295 81385\n96745 100000\n59663 89489\n79424 100000\n79092 100000\n51609 77334\n82788 100000\n70259 100000\n97745 100000\n68050 100000\n22801 34093\n30161 45075\n81223 100000\n88725 100000\n96472 100000\n37688 56358\n99938 100000\n24064 35995\n21589 32277\n38536 57657\n48607 72797\n31406 46956\n77035 100000\n8689 13015\n8877 13304\n2997 4516\n31385 46927\n37958 56765\n28308 42302\n33029 49381\n48174 72145\n58894 88326\n48058 71968\n40553 60694\n57017 85477\n24720 36946\n48756 73017\n25046 37413\n59067 88577\n56392 84539\n41981 62804\n96785 100000\n66196 99313\n40580 60734\n31591 47238\n35527 53109\n30124 45018\n87142 100000\n55843 83713\n53212 79745\n46289 69293\n46591 69758\n39500 59116\n22317 33350\n13443 20144\n75860 100000\n68821 100000\n3627 5448\n1714 2588\n35220 52647\n40422 60497\n53894 80783\n82768 100000\n79274 100000\n42978 64304\n5183 7786\n72976 100000\n34876 52136\n34271 51223\n92577 100000\n82581 100000\n22613 33808\n20750 31022\n24634 36820\n45540 68160\n37699 56374\n69540 100000\n17053 25509\n1796 2703\n57236 85823\n95946 100000\n93100 100000\n595 906\n89501 100000\n67634 100000\n55043 82531\n93615 100000\n89401 100000\n88055 100000\n8112 12145\n67848 100000\n73955 100000\n74545 100000\n91485 100000\n67320 100000\n33490 50061\n29252 43706\n33804 50517\n70058 100000\n99295 100000\n55359 82991\n8711 13051\n50242 75271\n58009 87008\n26752 39979\n81532 100000\n51277 76825\n4613 6938\n72007 100000\n52676 78953\n8111 12144\n31236 46702\n5236 7864\n21075 31514\n76568 100000\n57882 86813\n38370 57399\n37767 56475\n9814 14722\n16657 24916\n10830 16238\n54753 82087\n62170 93278\n63808 95702\n59752 89620\n71539 100000\n11387 17075\n60053 90080\n26200 39159\n3380 5088\n29015 43357\n12111 18172\n95231 100000\n50322 75393\n83033 100000\n45072 67448\n42714 63912\n88885 100000\n72084 100000\n7730 11571\n37408 55935\n63135 94700\n11232 16838\n98288 100000\n48011 71903\n52403 78541\n56005 83957\n91765 100000\n80048 100000\n31193 46635\n7482 11206\n24758 36998\n31389 46934\n77309 100000\n39054 58442\n76874 100000\n11420 17122\n27344 40854\n29994 44831\n90869 100000\n42355 63380\n58119 87171\n20639 30866\n46551 69698\n22761 34036\n35019 52351\n67010 100000\n61753 92639\n54898 82306\n59827 89734\n61134 91703\n76289 100000\n83303 100000\n98303 100000\n91130 100000\n5031 7559\n62624 93941\n14069 21068\n19375 28966\n78173 100000\n4457 6697\n50055 74988\n16676 24944\n87507 100000\n11149 16709\n11144 16703\n32030 47899\n6959 10404\n43686 65372\n45317 67824\n55683 83478\n72043 100000\n92596 100000\n24783 37037\n859 1308\n17853 26710\n38382 57419\n57197 85764\n44993 67329\n97646 100000\n99801 100000\n78092 100000\n47454 71065\n93074 100000\n55701 83505\n38212 57161\n95970 100000\n81910 100000\n35172 52576\n7365 11026\n86614 100000\n8899 13338\n81551 100000\n64056 96075\n93259 100000\n47510 71147\n43016 64358\n86388 100000\n85664 100000\n3029 4564\n63214 94820\n29361 43857\n45659 68340\n82846 100000\n27277 40753\n94240 100000\n82294 100000\n25260 37739\n44311 66314\n83415 100000\n40811 61079\n40593 60755\n90185 100000\n81564 100000\n22026 32922\n48125 72073\n32145 48068\n34178 51085\n89516 100000\n11431 17138\n52691 78979\n18408 27548\n27268 40741\n50434 75559\n25273 37761\n85346 100000\n89278 100000\n79628 100000\n73750 100000\n38186 57120\n75607 100000\n14070 21069\n79428 100000\n18083 27063\n68305 100000\n60562 90846\n17617 26355\n68268 100000\n70537 100000\n45184 67622\n48340 72389\n18879 28241\n67443 100000\n81244 100000\n38284 57270\n55680 83473\n27090 40484\n57135 85662\n74825 100000\n73159 100000\n12869 19294\n97319 100000\n17552 26258\n33584 50200\n51727 77511\n79752 100000\n39692 59410\n53417 80059\n31090 46488\n65963 98949\n19941 29810\n96941 100000\n7458 11165\n77669 100000\n91574 100000\n30578 45703\n9608 14402\n51261 76803\n91621 100000\n73534 100000\n7870 11780\n11566 17340\n67191 100000\n79711 100000\n22527 33673\n91 139\n11468 17197\n14495 21709\n68629 100000\n12092 18141\n95800 100000\n46904 70229\n50436 75563\n84172 100000\n91030 100000\n73347 100000\n15175 22717\n43898 65701\n3351 5041\n11564 17337\n6566 9812\n96269 100000\n69010 100000\n27411 40954\n66235 99364\n55475 83161\n13850 20744\n75250 100000\n18793 28114\n73089 100000\n4285 6442\n16972 25387\n17376 25997\n8729 13080\n9209 13822\n75281 100000\n39199 58664\n73702 100000\n67645 100000\n22676 33903\n91411 100000\n65836 98755\n57678 86500\n80100 100000\n12792 19175\n19829 29641\n48710 72949\n46211 69177\n13390 20067\n75274 100000\n58779 88158\n85036 100000\n67044 100000\n73580 100000\n53374 79996\n37152 55555\n57581 86351\n98961 100000\n88011 100000\n71801 100000\n88432 100000\n17590 26312\n22115 33056\n54824 82193\n29922 44723\n52532 78737\n17805 26632\n1898 2857\n23695 35429\n48613 72804\n88184 100000\n18794 28115\n78167 100000\n37266 55725\n98012 100000\n80341 100000\n9833 14752\n22163 33124\n67072 100000\n96346 100000\n82948 100000\n71727 100000\n71881 100000\n23852 35669\n2953 4449\n34053 50896\n37636 56275\n78225 100000\n42394 63440\n66932 100000\n7778 11643\n62215 93349\n84951 100000\n34982 52293\n4706 7078\n3691 5550\n20179 30175\n58348 87520\n21868 32690\n37344 55840\n84606 100000\n97276 100000\n41020 61399\n4312 6479\n23059 34478\n30117 45009\n3582 5386\n12117 18181\n34344 51332\n62389 93603\n26676 39864\n398 598\n56993 85439\n98735 100000\n45398 67947\n848 1288\n78616 100000\n64018 96018\n56623 84883\n51494 77156\n71070 100000\n21597 32286\n40128 60054\n80475 100000\n8450 12648\n43459 65024\n99769 100000\n93207 100000\n602 917\n70569 100000\n63088 94631\n73573 100000\n21623 32328\n64653 96970\n72507 100000\n28294 42283\n44924 67227\n44918 67217\n78896 100000\n27009 40362\n27293 40780\n15682 23489\n66717 100000\n12608 18904\n11848 17763\n64327 96478\n54461 81638\n63961 95936\n253 383\n49452 74087\n59805 89701\n4682 7040\n44060 65938\n1204 1834\n34584 51709\n31141 46563\n2856 4305\n76969 100000\n22032 32929\n97664 100000\n61767 92657\n71467 100000\n89343 100000\n12401 18597\n46510 69639\n89770 100000\n2307 3480\n44474 66556\n28127 42027\n11574 17351\n36704 54863\n37331 55820\n11383 17068\n26930 40243\n90896 100000\n41934 62737\n24678 36881\n80084 100000\n74648 100000\n94997 100000\n14195 21265\n3278 4941\n50120 75085\n83678 100000\n71487 100000\n46361 69404\n78720 100000\n61451 92185\n55929 83844\n18996 28411\n48116 72058\n4654 6998\n46306 69319\n66436 99677\n55619 83382\n17393 26023\n18492 27667\n94998 100000\n71384 100000\n41610 62265\n51720 77500\n73403 100000\n81833 100000\n10527 15792\n59571 89349\n17582 26300\n13624 20412\n90575 100000\n22228 33217\n27201 40642\n16366 24495\n43229 64683\n74578 100000\n55913 83819\n57072 85563\n99793 100000\n72404 100000\n27240 40698\n37924 56719\n49369 73959\n3802 5719\n51286 76838\n85249 100000\n90763 100000\n28504 42577\n53350 79954\n51049 76482\n55588 83333\n81397 100000\n25998 38845\n4548 6840\n82224 100000\n37010 55335\n32447 48515\n57404 86078\n12359 18535\n16580 24804\n64720 97070\n98270 100000\n30958 46281\n93109 100000\n56135 84151\n27497 41082\n47278 70789\n50962 76350\n58484 87722\n13658 20458\n60720 91081\n43479 65054\n34822 52059\n50083 75028\n19301 28860\n42375 63413\n44211 66163\n34953 52253\n64497 96729\n86163 100000\n55339 82962\n99700 100000\n34243 51182\n37483 56047\n80944 100000\n49602 74320\n60632 90951\n81927 100000\n50036 74958\n22265 33271\n38817 58084\n33384 49903\n28657 42813\n58311 87459\n49673 74420\n86918 100000\n48299 72330\n96869 100000\n3763 5657\n36205 54129\n56253 84320\n66979 100000\n33436 49976\n95911 100000\n44345 66367\n39354 58905\n96202 100000\n99655 100000\n29235 43680\n56363 84496\n62236 93381\n94005 100000\n31782 47524\n71802 100000\n39852 59649\n30596 45728\n68630 100000\n74444 100000\n55825 83687\n98553 100000\n54037 81006\n89981 100000\n95150 100000\n32084 47977\n8938 13403\n37327 55815\n97500 100000\n62705 94057\n77970 100000\n85508 100000\n29415 43936\n94786 100000\n24510 36632\n63023 94538\n84617 100000\n1015 1552\n99268 100000\n68406 100000\n92752 100000\n91945 100000\n82704 100000\n62449 93682\n93527 100000\n67409 100000\n63219 94826\n34933 52226\n3739 5623\n13001 19486\n12961 19430\n16295 24395\n82600 100000\n82757 100000\n17394 26025\n67423 100000\n10389 15588\n81316 100000\n18021 26974\n9407 14109\n17050 25505\n75298 100000\n81110 100000\n30563 45681\n21908 32749\n63201 94800\n38625 57798\n96526 100000\n6256 9361\n54607 81857\n72157 100000\n14301 21428\n5838 8739\n72750 100000\n43947 65774\n1533 2322\n43415 64958\n69727 100000\n82953 100000\n3317 4993\n88239 100000\n55755 83588\n78450 100000\n3772 5669\n83022 100000\n94613 100000\n93070 100000\n67803 100000\n33623 50255\n35138 52524\n74668 100000\n9245 13875\n96605 100000\n91524 100000\n57711 86551\n15229 22794\n63989 95977\n33269 49737\n50684 75930\n1851 2785\n13881 20789\n43914 65724\n42965 64287\n83738 100000\n60741 91115\n26616 39783\n18042 27005\n54232 81295\n19761 29544\n37155 55560\n14577 21829\n18102 27091\n23083 34516\n75144 100000\n",
        "output": "27\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 109,
        "task_id": 541,
        "test_case_id": 42,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 99999\n63169 94766\n37030 55574\n8244 12290\n6558 9767\n87180 100000\n41257 61967\n9000 13418\n43002 64594\n54118 81241\n98127 100000\n57276 85995\n66711 100000\n28262 42342\n57991 87058\n77584 100000\n37651 56504\n95083 100000\n97210 100000\n41652 62560\n73522 100000\n65523 98283\n55531 83367\n15053 22471\n61784 92709\n41010 61587\n27099 40589\n75605 100000\n63769 95662\n60328 90537\n49259 73985\n40168 60304\n24748 37045\n58512 87840\n52778 79224\n21334 31934\n46852 70360\n56648 85052\n30994 46479\n53534 80347\n17589 26287\n4101 6118\n40420 60689\n94597 100000\n46209 69382\n80065 100000\n62318 93521\n38015 57053\n64059 96097\n24433 36561\n64793 97199\n16400 24501\n17468 26112\n36237 54398\n30362 45523\n14444 21570\n31944 47897\n65593 98386\n77844 100000\n15615 23333\n41590 62468\n68756 100000\n26488 39663\n55386 83145\n54745 82174\n61342 92051\n13227 19771\n43639 65544\n78379 100000\n10249 15279\n78389 100000\n71753 100000\n72907 100000\n22580 33801\n23984 35895\n24759 37061\n73079 100000\n10395 15491\n79670 100000\n54 78\n66649 99954\n85456 100000\n18188 27187\n42766 64236\n8071 12032\n18195 27195\n48611 73004\n90218 100000\n28063 42038\n7412 11063\n8486 12645\n84002 100000\n76832 100000\n72572 100000\n70161 100000\n31876 47791\n35748 53654\n5731 8543\n58513 87842\n82392 100000\n73016 100000\n41704 62637\n11231 16759\n90083 100000\n29851 44734\n49398 74199\n78328 100000\n84629 100000\n65202 97805\n37363 56069\n41880 62900\n31570 47347\n55261 82950\n52924 79445\n13260 19820\n97419 100000\n90699 100000\n41792 62768\n6457 9618\n55338 83071\n75293 100000\n12237 18285\n91938 100000\n22302 33397\n82333 100000\n24755 37055\n93950 100000\n67788 100000\n40769 61222\n41550 62412\n12766 19091\n37054 55610\n24620 36846\n48621 73019\n18385 27478\n99490 100000\n52269 78475\n95154 100000\n46609 69992\n67333 100000\n44645 67039\n15140 22603\n18208 27216\n51919 77960\n83711 100000\n2252 3354\n79336 100000\n83365 100000\n43597 65480\n67938 100000\n43014 64613\n52674 79073\n82699 100000\n49670 74607\n65389 98085\n88470 100000\n4386 6550\n68460 100000\n33419 50145\n77722 100000\n16165 24146\n92247 100000\n92615 100000\n83352 100000\n52196 78369\n39287 58998\n641 942\n46954 70510\n10572 15751\n2419 3597\n26440 39586\n50277 75503\n49558 74432\n79157 100000\n14496 21643\n70391 100000\n99571 100000\n61373 92091\n46064 69160\n22208 33258\n51758 77719\n17544 26222\n12718 19017\n1429 2128\n6410 9540\n33946 50930\n36111 54212\n54720 82137\n99867 100000\n35777 53698\n13681 20444\n14037 20972\n79245 100000\n55930 83978\n5703 8504\n49543 74411\n70633 100000\n88442 100000\n25599 38327\n17198 25700\n62514 93805\n22395 33536\n17865 26687\n69659 100000\n36505 54784\n80312 100000\n34732 52127\n81739 100000\n54656 82041\n81970 100000\n97466 100000\n47905 71961\n84737 100000\n38982 58544\n74855 100000\n86602 100000\n49880 74924\n45808 68782\n69822 100000\n29179 43732\n17507 26171\n93930 100000\n74193 100000\n45910 68931\n63528 95300\n71015 100000\n25931 38813\n66109 99144\n58320 87554\n68550 100000\n39314 59039\n90316 100000\n4090 6098\n10504 15650\n11251 16788\n69761 100000\n38104 57185\n54455 81736\n98257 100000\n94811 100000\n47652 71587\n22317 33421\n59683 89586\n13949 20837\n36216 54367\n6182 9203\n90858 100000\n58032 87119\n4467 6668\n61482 92259\n64704 97071\n61567 92388\n46775 70243\n81587 100000\n94963 100000\n52556 78891\n89147 100000\n91436 100000\n58443 87732\n71610 100000\n9281 13846\n2590 3858\n56545 84896\n36372 54593\n82662 100000\n20472 30651\n24586 36794\n40965 61518\n90639 100000\n22908 34277\n59027 88613\n714 1054\n73748 100000\n37793 56714\n23201 34716\n52228 78414\n69742 100000\n45405 68175\n12951 19353\n66504 99737\n36342 54551\n80770 100000\n79122 100000\n14042 20979\n35776 53696\n21178 31708\n813 1201\n34813 52245\n3538 5268\n17431 26052\n79910 100000\n71574 100000\n24440 36572\n71505 100000\n20253 30319\n98689 100000\n73640 100000\n65312 97971\n85519 100000\n7139 10642\n23731 35516\n30139 45174\n27370 40994\n85796 100000\n60974 91508\n40032 60107\n26203 39226\n29881 44781\n29198 43760\n39510 59342\n29754 44593\n1731 2580\n97508 100000\n8504 12672\n43040 64654\n60394 90638\n51101 76743\n10298 15351\n10770 16066\n90058 100000\n19522 29211\n77093 100000\n94712 100000\n90522 100000\n55215 82873\n3549 5283\n16725 24986\n63628 95448\n27541 41263\n70743 100000\n47463 71291\n16160 24138\n7150 10657\n61142 91761\n6759 10059\n77282 100000\n15748 23530\n34200 51312\n20299 30398\n43601 65487\n22698 33976\n29821 44693\n14424 21544\n1859 2767\n68022 100000\n72029 100000\n19358 28960\n94368 100000\n94840 100000\n18627 27835\n34205 51320\n2624 3911\n36020 54068\n39405 59183\n69277 100000\n95966 100000\n53518 80324\n89990 100000\n53399 80148\n44493 66820\n60728 91139\n81507 100000\n14471 21611\n53442 80215\n97043 100000\n6896 10269\n38080 57150\n37106 55685\n11038 16475\n96623 100000\n59864 89853\n39535 59378\n17949 26820\n40363 60600\n30693 46030\n73551 100000\n51539 77402\n20876 31264\n40101 60205\n24961 37372\n30728 46078\n5102 7626\n20315 30424\n3458 5140\n24325 36404\n85768 100000\n2011 2986\n75248 100000\n71182 100000\n82567 100000\n74146 100000\n57847 86841\n22488 33672\n53763 80694\n36158 54280\n9059 13504\n15686 23440\n31735 47587\n65592 98385\n83363 100000\n52245 78439\n62206 93348\n52076 78189\n16152 24127\n32604 48902\n88202 100000\n48714 73166\n7860 11712\n44316 66551\n19282 28845\n84509 100000\n53319 80029\n72240 100000\n72254 100000\n81046 100000\n33199 49813\n45253 67950\n38771 58217\n17059 25482\n32628 48937\n58107 87233\n9039 13475\n34962 52465\n66757 100000\n55350 83090\n32257 48369\n80526 100000\n78287 100000\n65739 98600\n60330 90540\n47767 71763\n9778 14580\n73571 100000\n31936 47886\n78719 100000\n50935 76493\n49877 74920\n38427 57692\n82866 100000\n20415 30578\n11982 17895\n4096 6110\n38877 58390\n58563 87921\n56102 84231\n65086 97639\n42778 64253\n64126 96200\n42111 63243\n8983 13391\n17018 25422\n35504 53282\n74531 100000\n12802 19139\n73999 100000\n3867 5771\n82855 100000\n73648 100000\n98448 100000\n42001 63078\n53079 79664\n94994 100000\n3073 4570\n72839 100000\n89954 100000\n39636 59530\n71253 100000\n75396 100000\n92195 100000\n58253 87450\n17953 26827\n11453 17099\n46426 69713\n1787 2662\n93886 100000\n52703 79120\n14483 21627\n82314 100000\n59636 89517\n12815 19156\n36138 54251\n50617 76036\n75910 100000\n56273 84484\n30681 46016\n39260 58952\n78842 100000\n50898 76440\n27839 41707\n68444 100000\n78820 100000\n17914 26766\n11208 16723\n33822 50750\n53347 80073\n25807 38633\n79792 100000\n34423 51642\n17067 25495\n172 245\n39369 59125\n59327 89057\n53898 80904\n22232 33291\n90193 100000\n87212 100000\n71696 100000\n5284 7897\n38990 58556\n18939 28317\n48775 73254\n86165 100000\n78092 100000\n79097 100000\n43955 66015\n97977 100000\n16552 24725\n70972 100000\n78755 100000\n49313 74069\n79679 100000\n63887 95843\n56524 84865\n38012 57049\n35983 54012\n27581 41323\n50555 75942\n58243 87434\n67910 100000\n28226 42290\n68834 100000\n27438 41099\n40289 60491\n92737 100000\n65897 98833\n72436 100000\n83292 100000\n51308 77059\n43643 65550\n36579 54892\n85840 100000\n5995 8926\n1485 2217\n14595 21792\n4945 7388\n11156 16649\n58657 88067\n62086 93163\n31202 46788\n62572 93893\n21751 32568\n77664 100000\n3520 5240\n48623 73022\n3437 5110\n55445 83232\n48191 72390\n47640 71568\n20364 30498\n87152 100000\n96450 100000\n18937 28314\n55596 83470\n90227 100000\n44363 66624\n61414 92153\n85529 100000\n81700 100000\n8024 11961\n30747 46110\n44098 66229\n79148 100000\n69422 100000\n68042 100000\n69725 100000\n87392 100000\n71230 100000\n10505 15651\n78709 100000\n77723 100000\n6304 9381\n6604 9832\n60233 90403\n1444 2151\n57066 85678\n53096 79687\n39342 59080\n72929 100000\n14701 21950\n25831 38668\n89746 100000\n27130 40635\n84594 100000\n98457 100000\n29707 44522\n26099 39068\n32495 48740\n76663 100000\n99881 100000\n94216 100000\n17429 26049\n57832 86817\n91149 100000\n72591 100000\n89846 100000\n27695 41492\n43165 64847\n27415 41063\n81558 100000\n57766 86712\n55026 82589\n78871 100000\n23637 35372\n94046 100000\n67385 100000\n71403 100000\n80638 100000\n86529 100000\n82087 100000\n4009 5979\n25920 38795\n39147 58793\n62776 94200\n2955 4397\n81916 100000\n9974 14876\n90239 100000\n85117 100000\n87091 100000\n53700 80598\n8948 13339\n31541 47303\n23391 35011\n61268 91933\n83100 100000\n12422 18559\n79083 100000\n72188 100000\n12193 18219\n4762 7109\n48877 73413\n65348 98024\n89905 100000\n28290 42383\n45349 68090\n60185 90334\n90534 100000\n33497 50260\n90546 100000\n38088 57161\n77391 100000\n38388 57635\n76106 100000\n55560 83416\n19344 28940\n8347 12437\n39904 59921\n20526 30736\n92145 100000\n37976 56990\n95860 100000\n29537 44259\n6231 9272\n99644 100000\n5999 8934\n36680 55051\n98889 100000\n13191 19716\n61987 93012\n48148 72321\n15809 23624\n13760 20560\n84110 100000\n7338 10950\n91620 100000\n86867 100000\n30772 46147\n86478 100000\n96910 100000\n28399 42550\n2428 3611\n70146 100000\n29760 44602\n77492 100000\n71002 100000\n85417 100000\n49272 74005\n86367 100000\n68161 100000\n87893 100000\n88655 100000\n72136 100000\n38257 57431\n27087 40571\n77394 100000\n69750 100000\n42624 64024\n9709 14468\n10699 15949\n42461 63784\n7367 10994\n76844 100000\n94494 100000\n27193 40725\n43397 65199\n5554 8278\n65325 97990\n40128 60245\n45101 67720\n84949 100000\n16657 24880\n43983 66061\n16235 24249\n14697 21945\n66832 100000\n25990 38904\n41259 61970\n92354 100000\n52921 79440\n29188 43745\n45061 67664\n70739 100000\n26362 39469\n51793 77779\n70090 100000\n29003 43470\n92594 100000\n60411 90662\n3305 4910\n46294 69515\n16178 24165\n68676 100000\n69989 100000\n54528 81849\n64546 96838\n12979 19397\n31036 46536\n97025 100000\n60497 90790\n89469 100000\n39464 59273\n67498 100000\n50238 75443\n52797 79253\n15859 23698\n6008 8948\n37887 56854\n43083 64715\n10387 15478\n44590 66953\n94153 100000\n12973 19388\n26446 39596\n6701 9970\n97323 100000\n21589 32327\n22544 33751\n94855 100000\n50016 75122\n76359 100000\n72791 100000\n70487 100000\n13470 20132\n24456 36599\n80367 100000\n77328 100000\n81539 100000\n83408 100000\n70513 100000\n65122 97693\n24463 36609\n60357 90580\n92897 100000\n49549 74418\n55264 82955\n10975 16382\n59758 89695\n59763 89702\n31356 47021\n29511 44220\n76500 100000\n10104 15068\n73223 100000\n94359 100000\n6571 9786\n37861 56814\n32935 49414\n89079 100000\n57811 86788\n35071 52631\n67115 100000\n96700 100000\n14161 21163\n45734 68669\n14478 21620\n16214 24216\n3777 5635\n8904 13274\n57497 86319\n59326 89056\n3546 5278\n28565 42808\n76028 100000\n35517 53303\n48711 73163\n25518 38200\n53624 80484\n12993 19419\n28877 43278\n28745 43075\n51800 77790\n53733 80647\n54909 82417\n33807 50729\n14375 21471\n15567 23253\n35029 52566\n69820 100000\n46226 69408\n12399 18528\n47928 71992\n64114 96181\n97069 100000\n69432 100000\n39408 59187\n5724 8532\n87444 100000\n81031 100000\n47467 71298\n69506 100000\n6399 9525\n87640 100000\n46716 70157\n66625 99917\n81081 100000\n66953 100000\n87031 100000\n95282 100000\n61461 92229\n81732 100000\n49974 75055\n42220 63412\n15221 22726\n49539 74404\n11760 17559\n29424 44095\n77038 100000\n4975 7434\n38671 58067\n87849 100000\n48152 72327\n49830 74848\n33837 50775\n25676 38444\n32337 48495\n26644 39898\n57933 86971\n3604 5368\n46419 69704\n29362 44003\n3283 4881\n29288 43893\n8884 13241\n94427 100000\n17013 25417\n66651 99957\n46842 70344\n61869 92839\n50049 75171\n92473 100000\n24171 36169\n18000 26893\n19614 29352\n69336 100000\n52709 79127\n59401 89168\n66170 99235\n54750 82181\n85714 100000\n86627 100000\n30079 45081\n36288 54469\n64536 96821\n29658 44449\n41332 62081\n69405 100000\n31177 46749\n58446 87736\n5035 7525\n67495 100000\n83937 100000\n86923 100000\n78345 100000\n5149 7698\n25502 38176\n21376 31998\n29114 43633\n85700 100000\n23853 35700\n84385 100000\n63726 95597\n82386 100000\n17390 25985\n55670 83587\n15941 23813\n45289 68002\n33854 50800\n36042 54102\n59629 89508\n91132 100000\n36261 54433\n50172 75353\n85006 100000\n2181 3249\n15510 23161\n52878 79374\n33722 50599\n20666 30945\n70419 100000\n85426 100000\n77179 100000\n84944 100000\n24878 37243\n7803 11633\n53384 80129\n47232 70939\n43315 65077\n26459 39615\n87325 100000\n71999 100000\n63144 94734\n98784 100000\n91157 100000\n33408 50128\n61727 92623\n51834 77839\n61334 92038\n36338 54544\n56963 85525\n5072 7582\n85044 100000\n57771 86719\n94665 100000\n9856 14693\n80002 100000\n81118 100000\n28909 43327\n29634 44408\n30336 45490\n53830 80800\n34868 52323\n12144 18146\n23997 35915\n38025 57067\n26649 39905\n89326 100000\n31919 47857\n87599 100000\n22175 33206\n94178 100000\n89985 100000\n98787 100000\n51825 77826\n47107 70745\n33554 50347\n10549 15716\n37935 56928\n59948 89981\n44766 67222\n42217 63407\n48860 73385\n6555 9761\n837 1236\n36242 54404\n6059 9015\n83437 100000\n27920 41835\n16218 24221\n69372 100000\n48651 73067\n9070 13520\n37734 56628\n19583 29302\n2133 3179\n60308 90507\n9713 14472\n21227 31781\n12663 18924\n64856 97295\n58980 88545\n11412 17036\n98554 100000\n56880 85408\n73321 100000\n31406 47100\n18602 27803\n53369 80107\n55223 82886\n30487 45719\n43434 65252\n39269 58967\n54907 82414\n4278 6385\n8408 12530\n11917 17800\n84237 100000\n79137 100000\n39521 59357\n70025 100000\n30007 44972\n2480 3686\n15990 23887\n45047 67644\n29865 44754\n44210 66391\n28332 42450\n43851 65853\n73430 100000\n34955 52454\n76376 100000\n38909 58434\n61920 92918\n90343 100000\n6374 9486\n5575 8309\n61497 92283\n99515 100000\n82249 100000\n51572 77447\n27162 40681\n48681 73114\n50508 75865\n75793 100000\n67144 100000\n29134 43661\n72746 100000\n83769 100000\n26855 40215\n4154 6200\n60965 91496\n90904 100000\n73406 100000\n83487 100000\n58653 88061\n46250 69445\n83417 100000\n98341 100000\n79433 100000\n94986 100000\n95584 100000\n32680 49018\n41470 62282\n425 620\n31425 47129\n69215 100000\n66940 100000\n81786 100000\n55841 83850\n97776 100000\n97614 100000\n10539 15702\n23460 35117\n48722 73180\n51491 77333\n49253 73976\n48518 72866\n88447 100000\n25954 38844\n72177 100000\n96390 100000\n83790 100000\n88855 100000\n96445 100000\n93251 100000\n3072 4569\n2021 2999\n74240 100000\n88637 100000\n35020 52551\n65384 98078\n51626 77530\n11149 16638\n48931 73495\n43525 65374\n1778 2650\n17707 26457\n61901 92889\n31519 47266\n6104 9080\n99966 100000\n88760 100000\n31326 46975\n90002 100000\n99755 100000\n59403 89170\n65853 98767\n97920 100000\n88624 100000\n43044 64661\n19908 29798\n3620 5396\n48234 72453\n39945 59982\n31599 47389\n85580 100000\n84632 100000\n43200 64902\n27905 41812\n16830 25143\n77169 100000\n15743 23523\n96789 100000\n9542 14219\n11552 17248\n20892 31288\n48211 72419\n83490 100000\n13091 19568\n46988 70561\n71924 100000\n52675 79074\n51365 77144\n84826 100000\n3239 4816\n79885 100000\n53406 80157\n23331 34914\n95973 100000\n67242 100000\n20091 30079\n69904 100000\n79210 100000\n75103 100000\n85779 100000\n77358 100000\n53392 80138\n3483 5181\n79654 100000\n18492 27639\n2789 4156\n23719 35499\n9781 14584\n79955 100000\n2210 3289\n28116 42118\n60284 90474\n21344 31950\n49191 73883\n89201 100000\n51581 77461\n47553 71431\n40980 61539\n54635 82008\n2026 3007\n28139 42152\n59666 89563\n36275 54452\n2213 3294\n81038 100000\n58407 87685\n44157 66314\n73502 100000\n10048 14985\n12572 18787\n38173 57295\n27199 40734\n24493 36654\n21083 31567\n98318 100000\n62994 94514\n96041 100000\n3662 5459\n54113 81233\n70872 100000\n54056 81139\n18315 27377\n40039 60119\n80732 100000\n32414 48613\n70829 100000\n36019 54066\n36440 54691\n98532 100000\n52900 79408\n39761 59711\n14116 21089\n98822 100000\n12866 19228\n86080 100000\n46176 69330\n41268 61984\n67401 100000\n63266 94908\n52770 79214\n30514 45760\n98760 100000\n51188 76876\n3772 5626\n33676 50534\n76247 100000\n49027 73642\n33416 50140\n85833 100000\n24478 36633\n34784 52204\n95939 100000\n54481 81775\n38054 57106\n19755 29571\n96203 100000\n73415 100000\n79720 100000\n49754 74735\n17304 25853\n62541 93847\n66635 99930\n1996 2963\n67645 100000\n99599 100000\n37401 56131\n92219 100000\n15239 22754\n68499 100000\n86076 100000\n25010 37448\n68941 100000\n55409 83181\n65943 98898\n82863 100000\n10655 15877\n16123 24085\n98069 100000\n91269 100000\n34259 51396\n47746 71728\n57172 85843\n78507 100000\n81436 100000\n99403 100000\n63711 95572\n95257 100000\n9759 14549\n39103 58724\n13101 19584\n14455 21589\n31129 46677\n71290 100000\n15479 23114\n97909 100000\n12855 19213\n32732 49093\n63678 95526\n26259 39313\n31629 47436\n14258 21304\n5133 7676\n69320 100000\n51794 77781\n48046 72168\n3451 5130\n27282 40860\n50262 75480\n72631 100000\n45252 67949\n80631 100000\n57024 85617\n29421 44091\n34446 51683\n65132 97708\n50706 76161\n59742 89672\n9497 14157\n85628 100000\n21026 31484\n22885 34246\n70183 100000\n17947 26818\n12119 18107\n26736 40033\n4038 6020\n18541 27712\n21176 31706\n35789 53717\n18871 28212\n184 264\n69148 100000\n91808 100000\n46206 69378\n64203 96311\n12777 19107\n22091 33083\n3925 5853\n44762 67217\n52667 79062\n44511 66845\n47060 70672\n56163 84316\n7281 10859\n25925 38803\n31793 47666\n68627 100000\n13332 19930\n19207 28726\n77832 100000\n73746 100000\n70539 100000\n71537 100000\n76880 100000\n1846 2749\n99243 100000\n1398 2082\n54924 82439\n35576 53389\n65638 98442\n15607 23320\n86312 100000\n76727 100000\n10634 15844\n52051 78152\n5629 8390\n84102 100000\n26697 39977\n44565 66919\n46007 69078\n52242 78434\n31889 47812\n60496 90789\n41299 62029\n94799 100000\n22245 33311\n19985 29912\n4488 6699\n20655 30930\n91773 100000\n88777 100000\n84246 100000\n19137 28620\n33677 50535\n86274 100000\n39725 59658\n12033 17972\n27884 41778\n21871 32748\n84927 100000\n43448 65274\n29486 44185\n83914 100000\n53594 80439\n47507 71361\n80040 100000\n37909 56884\n82612 100000\n72378 100000\n5792 8633\n27270 40842\n39628 59517\n61383 92107\n47336 71098\n65474 98209\n56656 85066\n78202 100000\n37161 55769\n75781 100000\n34594 51912\n9797 14603\n81653 100000\n4100 6117\n30941 46402\n10205 15212\n73689 100000\n21700 32495\n78966 100000\n3468 5156\n45618 68494\n52644 79028\n56982 85555\n20718 31025\n8737 13021\n64353 96533\n59712 89627\n53352 80079\n81746 100000\n56532 84878\n88426 100000\n47850 71880\n318 465\n5649 8419\n89799 100000\n4063 6057\n73733 100000\n15524 23186\n81933 100000\n56771 85235\n78191 100000\n24793 37110\n31482 47211\n55250 82930\n78055 100000\n29952 44886\n44347 66597\n81717 100000\n94269 100000\n7550 11267\n27808 41660\n10842 16176\n69177 100000\n84901 100000\n13657 20408\n94771 100000\n65594 98387\n23858 35706\n41755 62712\n29457 44142\n80541 100000\n95260 100000\n59254 88948\n62575 93898\n16926 25281\n46860 70373\n7701 11486\n21296 31886\n55488 83299\n78169 100000\n13303 19888\n36781 55203\n8620 12845\n89651 100000\n23447 35098\n21174 31702\n58139 87280\n25103 37581\n28064 42040\n56481 84800\n11688 17448\n78071 100000\n34226 51350\n35964 53982\n12250 18301\n41754 62711\n86859 100000\n69071 100000\n95876 100000\n72285 100000\n87956 100000\n6870 10227\n69265 100000\n14195 21211\n42492 63830\n56802 85284\n17434 26057\n31796 47670\n65157 97739\n76950 100000\n97324 100000\n46442 69737\n77232 100000\n16697 24942\n7445 11109\n8992 13405\n60789 91234\n39821 59800\n87202 100000\n91360 100000\n94888 100000\n97301 100000\n64746 97133\n7967 11874\n30260 45365\n51677 77602\n33911 50881\n2494 3707\n90019 100000\n26746 40049\n26474 39640\n28264 42345\n39951 59991\n27519 41229\n59407 89176\n48140 72311\n64007 96024\n31912 47847\n44979 67537\n42326 63584\n56646 85049\n45824 68806\n39882 59888\n7764 11573\n33435 50168\n51326 77085\n29385 44037\n46015 69089\n86376 100000\n84383 100000\n8184 12203\n77161 100000\n63300 94960\n87428 100000\n34273 51414\n43176 64865\n68486 100000\n55763 83725\n95629 100000\n41290 62015\n60159 90298\n30625 45928\n95693 100000\n54978 82519\n33867 50820\n6146 9147\n488 722\n76811 100000\n53408 80160\n71210 100000\n20750 31075\n9780 14582\n74075 100000\n82739 100000\n84644 100000\n99589 100000\n98748 100000\n51195 76887\n88538 100000\n19151 28642\n40567 60918\n73102 100000\n48333 72595\n50628 76050\n89741 100000\n54515 81828\n27672 41457\n98574 100000\n3863 5765\n27231 40783\n26242 39285\n50625 76046\n45095 67712\n89694 100000\n57860 86861\n65849 98760\n69985 100000\n97828 100000\n77552 100000\n79306 100000\n12931 19321\n75965 100000\n26411 39545\n21165 31688\n2746 4089\n41977 63047\n13551 20247\n68852 100000\n89078 100000\n90830 100000\n42676 64099\n9718 14481\n29280 43879\n83949 100000\n44009 66099\n85678 100000\n69369 100000\n65730 98583\n90090 100000\n69587 100000\n87454 100000\n43587 65464\n71272 100000\n48393 72675\n38775 58223\n187 269\n16662 24889\n19994 29926\n50573 75967\n83473 100000\n68889 100000\n43343 65120\n60862 91345\n35699 53576\n31620 47421\n94642 100000\n23080 34531\n51506 77355\n90448 100000\n49445 74268\n33630 50468\n69027 100000\n35756 53666\n35671 53531\n29199 43762\n69097 100000\n47841 71867\n18454 27581\n45683 68596\n52952 79488\n40554 60899\n28111 42111\n26205 39230\n68638 100000\n79848 100000\n91838 100000\n1166 1732\n41518 62362\n71167 100000\n48811 73314\n43045 64662\n23915 35788\n79343 100000\n45839 68829\n85404 100000\n40888 61404\n62507 93795\n25648 38396\n9276 13836\n75150 100000\n98888 100000\n88184 100000\n89397 100000\n4384 6547\n14911 22252\n19439 29081\n79250 100000\n69022 100000\n93346 100000\n77949 100000\n30964 46434\n33495 50257\n97021 100000\n80828 100000\n24271 36321\n13859 20708\n34734 52129\n71100 100000\n2481 3687\n50673 76113\n99913 100000\n87500 100000\n75547 100000\n55817 83812\n24597 36813\n45178 67837\n98846 100000\n65541 98310\n41375 62144\n3231 4806\n71719 100000\n86479 100000\n5427 8102\n53267 79953\n7988 11908\n5793 8635\n35457 53211\n73820 100000\n46491 69814\n4684 6993\n83393 100000\n89065 100000\n65167 97755\n53155 79779\n37593 56421\n63746 95627\n86739 100000\n21812 32657\n4361 6510\n11230 16758\n84130 100000\n58643 88045\n76506 100000\n33184 49789\n11484 17145\n51385 77176\n91933 100000\n44058 66167\n16017 23929\n94648 100000\n1310 1952\n74617 100000\n46830 70326\n63855 95796\n176 252\n66492 99720\n28195 42241\n60614 90969\n28869 43267\n54447 81724\n55125 82739\n44408 66694\n2156 3213\n26134 39120\n38166 57284\n66295 99424\n18537 27705\n89892 100000\n8334 12418\n66120 99158\n76973 100000\n2603 3880\n28587 42842\n76322 100000\n29335 43963\n6591 9812\n86592 100000\n45259 67958\n35624 53462\n35411 53141\n79769 100000\n48136 72305\n57501 86324\n23516 35195\n13670 20429\n64198 96302\n13728 20513\n28820 43193\n20728 31040\n56113 84247\n10908 16273\n79975 100000\n33809 50731\n64711 97083\n73668 100000\n71840 100000\n68808 100000\n37323 56003\n43051 64669\n6170 9182\n85256 100000\n47096 70727\n70767 100000\n25705 38487\n87289 100000\n7767 11579\n59794 89748\n64650 96994\n40365 60604\n42451 63773\n44161 66320\n94285 100000\n89894 100000\n5206 7779\n53364 80098\n59257 88952\n73702 100000\n36238 54400\n31495 47229\n38815 58290\n43268 65006\n50904 76448\n73547 100000\n73440 100000\n63561 95348\n5259 7857\n65698 98532\n44954 67498\n12175 18191\n34219 51339\n71634 100000\n78587 100000\n16068 24004\n60916 91429\n34889 52352\n81968 100000\n37389 56110\n73773 100000\n19072 28517\n79541 100000\n87916 100000\n9303 13879\n4140 6178\n2496 3710\n84840 100000\n23458 35113\n81051 100000\n94257 100000\n1494 2231\n70507 100000\n67320 100000\n18206 27213\n57338 86090\n7465 11139\n32130 48181\n56733 85177\n50166 75345\n44834 67322\n6388 9509\n46588 69960\n98002 100000\n61607 92442\n22929 34310\n57149 85804\n21945 32858\n71616 100000\n74433 100000\n7133 10632\n63385 95085\n97373 100000\n65460 98187\n85088 100000\n82827 100000\n46214 69389\n43637 65540\n44872 67377\n53098 79689\n18159 27146\n24756 37056\n81651 100000\n21655 32425\n18681 27918\n41402 62186\n63157 94752\n29832 44709\n49461 74294\n55207 82861\n60912 91423\n37461 56223\n51734 77686\n82187 100000\n96653 100000\n55725 83669\n86662 100000\n50290 75524\n11461 17112\n8687 12950\n6327 9415\n59379 89137\n34869 52325\n38899 58421\n98152 100000\n19709 29504\n52690 79097\n39654 59552\n76432 100000\n21134 31643\n14472 21613\n8727 13009\n70891 100000\n60333 90544\n49792 74791\n21511 32207\n3528 5253\n21033 31494\n38695 58104\n77858 100000\n41553 62417\n81334 100000\n48396 72680\n69826 100000\n49441 74262\n2235 3326\n14411 21525\n10874 16223\n18635 27847\n1065 1576\n72996 100000\n99092 100000\n81940 100000\n87627 100000\n48745 73212\n76848 100000\n40718 61150\n15019 22415\n12345 18444\n63930 95911\n17588 26286\n7199 10732\n48616 73012\n6687 9952\n58039 87128\n54101 81215\n80242 100000\n52555 78890\n39687 59600\n19835 29689\n95170 100000\n71851 100000\n33388 50100\n68922 100000\n23882 35740\n40642 61035\n20501 30697\n91536 100000\n16572 24757\n83515 100000\n29274 43871\n33608 50430\n43883 65904\n25392 38015\n6006 8945\n36974 55487\n85467 100000\n6937 10333\n33700 50568\n33974 50969\n66210 99295\n71585 100000\n19429 29066\n787 1161\n28967 43416\n32891 49349\n72753 100000\n40159 60292\n40685 61101\n5564 8293\n73834 100000\n35133 52729\n30983 46463\n74626 100000\n27308 40900\n99566 100000\n53859 80845\n21247 31814\n58585 87954\n94092 100000\n64715 97090\n74766 100000\n34657 52006\n2897 4320\n30171 45226\n49889 74936\n55961 84025\n24305 36375\n66626 99919\n60543 90861\n17186 25684\n39505 59335\n4585 6854\n21121 31623\n77000 100000\n41240 61939\n20116 30114\n88586 100000\n9494 14151\n27062 40533\n32039 48045\n89516 100000\n83958 100000\n90771 100000\n86603 100000\n83946 100000\n60771 91206\n56782 85252\n85534 100000\n99276 100000\n71526 100000\n93924 100000\n21485 32171\n61828 92773\n56040 84140\n42129 63271\n51032 76638\n83847 100000\n17332 25894\n72920 100000\n20648 30920\n93537 100000\n12928 19317\n53621 80481\n15594 23298\n26188 39201\n86109 100000\n64369 96559\n44292 66515\n6152 9156\n35039 52580\n31143 46695\n22898 34262\n25439 38087\n62275 93456\n54740 82167\n28244 42318\n24125 36097\n9232 13768\n63353 95040\n22859 34207\n85603 100000\n95814 100000\n2086 3102\n25208 37739\n87157 100000\n1864 2774\n3099 4610\n28356 42485\n73971 100000\n81641 100000\n37774 56683\n42521 63870\n94445 100000\n73426 100000\n27508 41210\n82159 100000\n69038 100000\n94377 100000\n88004 100000\n57387 86162\n72419 100000\n66005 98996\n72247 100000\n48959 73535\n36563 54868\n30571 45844\n49799 74803\n54175 81322\n36819 55264\n94756 100000\n69743 100000\n38707 58122\n16270 24302\n39217 58891\n31513 47257\n59106 88727\n8877 13232\n16077 24017\n28604 42872\n91913 100000\n16241 24258\n5857 8726\n68949 100000\n83883 100000\n24614 36836\n66319 99460\n69121 100000\n63546 95325\n77365 100000\n28775 43122\n22055 33024\n81126 100000\n94537 100000\n6565 9778\n14906 22246\n13121 19612\n32960 49448\n58545 87893\n14815 22117\n39451 59254\n74307 100000\n36074 54156\n67382 100000\n91414 100000\n96188 100000\n22735 34032\n36301 54489\n44368 66631\n73100 100000\n23673 35426\n39258 58949\n9910 14778\n97681 100000\n28156 42178\n23608 35325\n33764 50666\n1466 2187\n28773 43118\n24047 35989\n28861 43256\n37308 55982\n24527 36705\n788 1162\n59305 89024\n86945 100000\n86053 100000\n92156 100000\n17838 26645\n20715 31020\n99006 100000\n2385 3545\n14694 21942\n38557 57887\n55494 83308\n4005 5973\n92381 100000\n3471 5161\n43739 65686\n915 1350\n64897 97356\n62763 94181\n42064 63169\n83610 100000\n26651 39907\n44465 66778\n84999 100000\n74351 100000\n85736 100000\n40646 61040\n26176 39182\n63866 95814\n48303 72551\n75179 100000\n688 1013\n63928 95908\n84650 100000\n67327 100000\n72212 100000\n68052 100000\n43488 65323\n30769 46143\n1542 2305\n64421 96635\n6517 9705\n58422 87703\n28109 42109\n43480 65314\n34111 51175\n98779 100000\n2919 4349\n69504 100000\n15068 22493\n88972 100000\n77981 100000\n32600 48896\n52053 78154\n53953 80986\n913 1346\n23958 35854\n88782 100000\n10645 15862\n7073 10536\n74273 100000\n67306 100000\n22028 32983\n33200 49815\n14401 21511\n2651 3950\n70182 100000\n67308 100000\n44859 67359\n8634 12865\n4722 7047\n97405 100000\n34879 52338\n1626 2429\n77132 100000\n35514 53298\n46135 69271\n65105 97665\n90131 100000\n84253 100000\n1562 2336\n77467 100000\n40968 61522\n84445 100000\n18194 27194\n20974 31409\n69438 100000\n86172 100000\n78453 100000\n73114 100000\n39282 58990\n92994 100000\n25732 38521\n84675 100000\n44548 66899\n40380 60628\n82658 100000\n38026 57068\n25025 37468\n86700 100000\n80399 100000\n56874 85398\n51065 76687\n84393 100000\n79236 100000\n68875 100000\n18217 27232\n8403 12524\n31382 47062\n74539 100000\n10304 15360\n96841 100000\n15536 23204\n30381 45552\n46067 69164\n71023 100000\n15082 22515\n85552 100000\n91553 100000\n5619 8372\n24811 37138\n80689 100000\n95297 100000\n54800 82257\n86567 100000\n40072 60168\n37153 55756\n81005 100000\n39232 58913\n60926 91442\n30744 46105\n95771 100000\n59610 89479\n84098 100000\n65967 98933\n82575 100000\n44000 66085\n38716 58135\n57287 86011\n40904 61427\n44218 66404\n49282 74020\n71087 100000\n52988 79541\n34512 51783\n13486 20154\n43312 65074\n58141 87283\n73217 100000\n64411 96620\n57034 85634\n75426 100000\n11931 17820\n46460 69765\n43062 64685\n41037 61633\n58450 87744\n76593 100000\n37876 56837\n10525 15679\n16243 24261\n39376 59134\n82799 100000\n57797 86763\n30537 45793\n88313 100000\n18812 28126\n71792 100000\n5496 8194\n57327 86074\n85185 100000\n16306 24355\n37012 55548\n41948 63001\n10893 16250\n59336 89073\n39795 59765\n43870 65884\n2863 4265\n47422 71226\n28599 42863\n73250 100000\n25342 37938\n81207 100000\n2345 3486\n78443 100000\n35711 53597\n8906 13277\n8121 12106\n78904 100000\n12795 19130\n71268 100000\n82704 100000\n78197 100000\n85617 100000\n97770 100000\n90880 100000\n46251 69447\n12121 18109\n66202 99285\n86235 100000\n90327 100000\n7154 10664\n80146 100000\n13654 20404\n8018 11953\n16860 25187\n86954 100000\n16074 24012\n86799 100000\n76412 100000\n95126 100000\n56455 84765\n49947 75013\n19769 29593\n79624 100000\n46876 70395\n82017 100000\n25886 38745\n5829 8682\n6328 9417\n17804 26596\n85252 100000\n9246 13790\n48306 72556\n34042 51079\n80552 100000\n79184 100000\n88380 100000\n75466 100000\n45389 68149\n77354 100000\n23196 34707\n60402 90649\n77076 100000\n71491 100000\n338 495\n68091 100000\n12735 19043\n33798 50718\n44261 66468\n33310 49974\n13072 19535\n71717 100000\n2967 4415\n73324 100000\n72602 100000\n18461 27592\n56902 85442\n47333 71092\n82518 100000\n36593 54913\n74857 100000\n36980 55498\n35603 53428\n93155 100000\n13079 19549\n37558 56366\n85738 100000\n99810 100000\n6344 9446\n82539 100000\n52865 79353\n3249 4834\n46380 69642\n41326 62073\n58745 88199\n43308 65066\n47497 71349\n66905 100000\n69279 100000\n97566 100000\n64360 96545\n56631 85026\n92580 100000\n50187 75373\n45180 67840\n44269 66481\n12385 18507\n68926 100000\n92604 100000\n87529 100000\n5169 7725\n9335 13924\n61877 92852\n62424 93672\n31706 47544\n31957 47916\n38269 57450\n83055 100000\n12263 18320\n46810 70296\n430 627\n82774 100000\n26798 40129\n46269 69478\n41750 62706\n69947 100000\n17858 26675\n82552 100000\n97455 100000\n16114 24071\n72097 100000\n28514 42735\n81928 100000\n95292 100000\n23359 34959\n35106 52686\n36449 54704\n77953 100000\n18647 27869\n75485 100000\n94867 100000\n28662 42957\n10303 15358\n57682 86593\n57250 85958\n33500 50265\n86268 100000\n45887 68897\n87657 100000\n18961 28352\n22407 33559\n97164 100000\n69637 100000\n11990 17908\n84734 100000\n41571 62441\n26407 39540\n52601 78961\n98929 100000\n20841 31208\n53275 79964\n44644 67038\n80753 100000\n52728 79156\n20977 31414\n22365 33494\n25201 37730\n33066 49611\n98411 100000\n45065 67669\n65456 98181\n83897 100000\n14939 22296\n36970 55480\n63534 95309\n30255 45357\n10581 15763\n13846 20687\n88642 100000\n59161 88812\n50494 75843\n45172 67828\n94601 100000\n95588 100000\n32141 48198\n45643 68532\n53162 79788\n67948 100000\n59477 89285\n50598 76005\n89292 100000\n43652 65563\n1263 1878\n94414 100000\n79565 100000\n25174 37687\n47615 71531\n3254 4839\n57812 86789\n57186 85864\n4641 6929\n78672 100000\n90386 100000\n4733 7065\n68680 100000\n68566 100000\n33194 49805\n73698 100000\n30582 45860\n43604 65491\n28531 42758\n12740 19052\n20225 30274\n89943 100000\n26744 40046\n69897 100000\n85980 100000\n2443 3631\n80156 100000\n41801 62783\n24134 36109\n11137 16621\n77860 100000\n6476 9649\n17329 25890\n69814 100000\n92905 100000\n28594 42855\n15127 22585\n82942 100000\n41033 61627\n38866 58373\n25057 37513\n4923 7353\n64830 97257\n5897 8784\n40051 60135\n79218 100000\n13045 19494\n80465 100000\n60557 90880\n88448 100000\n4803 7171\n12070 18030\n96576 100000\n75648 100000\n94542 100000\n49211 73915\n31579 47361\n76872 100000\n49226 73940\n42320 63574\n4160 6211\n60835 91305\n61889 92869\n5699 8498\n50059 75187\n29073 43577\n63848 95785\n45786 68749\n69692 100000\n5996 8928\n30978 46456\n5204 7777\n7966 11873\n51125 76780\n52348 78591\n54632 82002\n95296 100000\n66437 99632\n73392 100000\n20852 31225\n64851 97288\n53256 79936\n54663 82051\n5276 7884\n28361 42490\n20705 31003\n34546 51833\n89109 100000\n18782 28078\n89771 100000\n88221 100000\n94905 100000\n2993 4455\n86806 100000\n28369 42503\n23921 35796\n32293 48424\n80046 100000\n8145 12146\n26332 39426\n9019 13446\n60339 90553\n55133 82750\n46898 70426\n99614 100000\n58846 88349\n70828 100000\n6135 9128\n2002 2971\n59702 89615\n42685 64110\n29247 43834\n86968 100000\n17301 25850\n28457 42646\n94598 100000\n32202 48289\n55004 82560\n73061 100000\n27609 41364\n58288 87505\n16650 24871\n29809 44675\n59012 88592\n62454 93714\n14004 20922\n82222 100000\n53980 81028\n56710 85148\n88921 100000\n91556 100000\n77080 100000\n17476 26127\n83867 100000\n5107 7635\n58311 87539\n47428 71236\n52270 78476\n98065 100000\n75982 100000\n63509 95271\n94757 100000\n75514 100000\n73654 100000\n19645 29403\n41679 62598\n60980 91515\n10460 15585\n74880 100000\n42580 63960\n39686 59599\n658 968\n50630 76052\n75201 100000\n57657 86557\n66339 99490\n74362 100000\n55202 82853\n20658 30935\n4716 7038\n4880 7289\n38038 57085\n18123 27089\n73940 100000\n23061 34501\n22473 33653\n17289 25832\n78022 100000\n82451 100000\n69662 100000\n63318 94987\n54590 81944\n81385 100000\n48359 72628\n60814 91273\n95128 100000\n61875 92849\n48021 72132\n45517 68331\n83367 100000\n52012 78098\n95234 100000\n86462 100000\n52281 78491\n20153 30168\n27669 41453\n98656 100000\n34919 52396\n5279 7889\n74752 100000\n96514 100000\n58604 87981\n20938 31356\n71096 100000\n9847 14678\n78038 100000\n85493 100000\n54940 82464\n4205 6278\n52409 78675\n18852 28182\n16108 24062\n6971 10383\n29365 44007\n28758 43094\n77310 100000\n10241 15266\n82111 100000\n2226 3313\n75265 100000\n30686 46021\n74545 100000\n16578 24766\n46025 69103\n98064 100000\n47206 70901\n29422 44093\n73296 100000\n29768 44615\n28445 42626\n72528 100000\n59117 88743\n75458 100000\n63351 95036\n23596 35310\n72622 100000\n81804 100000\n57027 85622\n86238 100000\n97644 100000\n27721 41534\n52111 78240\n73696 100000\n10319 15386\n79648 100000\n52382 78639\n80182 100000\n36495 54769\n27091 40577\n17541 26217\n41867 62881\n20896 31294\n36390 54616\n33052 49587\n94121 100000\n56039 84138\n64302 96460\n16693 24934\n14418 21535\n53064 79643\n23926 35803\n82929 100000\n458 671\n38656 58042\n17565 26252\n72198 100000\n10443 15559\n30472 45693\n97090 100000\n70040 100000\n69851 100000\n85193 100000\n46759 70217\n22950 34339\n61757 92667\n34768 52181\n12420 18555\n89033 100000\n72232 100000\n68982 100000\n91662 100000\n17595 26298\n49797 74799\n17933 26795\n86095 100000\n47426 71233\n88743 100000\n8622 12848\n45119 67748\n52189 78360\n2151 3206\n44945 67486\n49734 74705\n91419 100000\n34253 51387\n30626 45929\n89615 100000\n11419 17045\n57924 86957\n10233 15255\n79119 100000\n98195 100000\n39171 58828\n30431 45632\n84214 100000\n21493 32182\n88006 100000\n69507 100000\n80686 100000\n834 1232\n86357 100000\n49776 74763\n50529 75901\n12169 18185\n60832 91301\n54951 82479\n96164 100000\n1375 2051\n25123 37610\n58686 88111\n55853 83866\n21123 31625\n39104 58725\n19323 28908\n3366 5002\n7874 11736\n95255 100000\n58501 87825\n78597 100000\n68717 100000\n86400 100000\n69149 100000\n18484 27628\n62547 93857\n46197 69364\n40638 61031\n55031 82596\n73373 100000\n45493 68297\n65512 98269\n64530 96810\n61006 91554\n11289 16850\n40062 60152\n50150 75322\n36362 54580\n80201 100000\n21429 32082\n36542 54841\n48075 72212\n36850 55309\n29542 44267\n40088 60190\n78118 100000\n97334 100000\n47513 71370\n21830 32685\n16336 24402\n92746 100000\n66193 99270\n70033 100000\n43015 64614\n12762 19087\n74116 100000\n69610 100000\n70152 100000\n79991 100000\n57270 85987\n72146 100000\n89437 100000\n97418 100000\n36178 54312\n5759 8580\n82951 100000\n40169 60306\n73236 100000\n50885 76422\n47090 70719\n31512 47255\n79077 100000\n37964 56973\n79715 100000\n10587 15773\n44804 67280\n31586 47372\n90836 100000\n99386 100000\n56792 85267\n32624 48932\n33891 50853\n44652 67050\n22700 33980\n44405 66689\n43665 65583\n33663 50517\n90570 100000\n2425 3607\n19191 28702\n62931 94426\n50347 75615\n15330 22892\n2536 3776\n83761 100000\n22326 33434\n78381 100000\n23709 35481\n55682 83606\n64248 96382\n43061 64683\n91585 100000\n46330 69572\n85994 100000\n43082 64714\n55227 82894\n2190 3261\n67782 100000\n12781 19112\n6453 9612\n41398 62180\n11704 17474\n66725 100000\n74767 100000\n34447 51684\n2319 3452\n3956 5903\n79489 100000\n36538 54836\n94037 100000\n26716 40003\n83797 100000\n32627 48936\n52984 79535\n83325 100000\n64042 96075\n68535 100000\n44642 67035\n87283 100000\n24616 36840\n50026 75139\n85227 100000\n24127 36099\n94417 100000\n79813 100000\n36228 54385\n48024 72137\n34335 51505\n77453 100000\n63557 95342\n43777 65744\n73929 100000\n34563 51863\n14649 21879\n66355 99512\n66436 99630\n35659 53511\n76131 100000\n8918 13293\n63742 95621\n57178 85854\n83506 100000\n81149 100000\n76244 100000\n45649 68543\n68385 100000\n2870 4276\n11343 16932\n25660 38419\n19858 29720\n3288 4886\n90440 100000\n41146 61797\n10757 16046\n19372 28983\n54325 81542\n38738 58166\n85191 100000\n86616 100000\n30144 45180\n71945 100000\n47126 70776\n74180 100000\n7163 10676\n47041 70645\n95176 100000\n81548 100000\n69258 100000\n97940 100000\n43105 64748\n3944 5883\n27384 41015\n62447 93702\n74005 100000\n37422 56162\n64757 97149\n23813 35643\n5119 7652\n15410 23012\n81818 100000\n37425 56167\n78683 100000\n48318 72571\n74288 100000\n95786 100000\n96919 100000\n95661 100000\n40108 60215\n65810 98704\n88146 100000\n567 834\n3643 5428\n24663 36915\n23003 34420\n82090 100000\n27201 40737\n34278 51422\n62149 93261\n32686 49029\n36633 54976\n1590 2380\n18827 28146\n49092 73739\n367 537\n35209 52843\n56118 84252\n56785 85255\n33903 50869\n15335 22900\n27930 41849\n51214 76916\n24548 36736\n90779 100000\n18051 26972\n94406 100000\n39477 59295\n53579 80415\n98045 100000\n66871 100000\n56115 84249\n31037 46538\n96372 100000\n42175 63338\n67387 100000\n85972 100000\n57168 85835\n98306 100000\n3676 5479\n8843 13178\n19465 29122\n22465 33640\n81903 100000\n38714 58132\n33660 50512\n84911 100000\n58152 87299\n60479 90763\n56933 85485\n35515 53300\n19053 28487\n97446 100000\n48233 72451\n18238 27264\n2384 3544\n27797 41647\n21495 32185\n13795 20610\n42057 63158\n29077 43582\n88337 100000\n93338 100000\n87098 100000\n75451 100000\n53095 79685\n33195 49807\n5827 8680\n74088 100000\n52153 78304\n97864 100000\n59452 89246\n14248 21289\n13229 19774\n7368 10995\n92525 100000\n83218 100000\n66851 100000\n19745 29555\n8793 13100\n8287 12348\n90180 100000\n4150 6195\n63747 95628\n75507 100000\n99505 100000\n56663 85076\n42330 63591\n27510 41213\n47446 71261\n58305 87530\n96541 100000\n40002 60066\n55433 83216\n34410 51622\n29969 44911\n12621 18863\n12390 18517\n78041 100000\n52817 79282\n93869 100000\n19104 28568\n21135 31644\n95560 100000\n19547 29250\n43858 65864\n96732 100000\n87042 100000\n85302 100000\n13434 20079\n55631 83526\n95298 100000\n59841 89818\n55058 82638\n42816 64308\n6229 9268\n92769 100000\n67181 100000\n64479 96729\n76413 100000\n12786 19118\n62589 93919\n26894 40273\n9274 13833\n55213 82871\n58451 87745\n17514 26180\n45602 68468\n79237 100000\n16566 24748\n75331 100000\n61896 92881\n77003 100000\n82995 100000\n71259 100000\n80783 100000\n88088 100000\n59019 88601\n55893 83922\n46993 70570\n61827 92771\n14511 21667\n65326 97991\n27092 40578\n93791 100000\n82344 100000\n61750 92654\n50394 75683\n77596 100000\n36241 54403\n69783 100000\n21897 32786\n74511 100000\n19888 29768\n86498 100000\n22205 33253\n30831 46236\n84970 100000\n18859 28195\n51555 77424\n90855 100000\n73232 100000\n27980 41922\n17875 26702\n50566 75954\n37018 55558\n52432 78710\n99352 100000\n66186 99260\n8778 13075\n19201 28716\n32378 48558\n7847 11697\n17918 26773\n7844 11692\n70259 100000\n77542 100000\n53811 80771\n545 804\n68995 100000\n90701 100000\n33765 50668\n44330 66572\n42900 64437\n84198 100000\n13150 19656\n76824 100000\n50999 76589\n20129 30133\n93213 100000\n28269 42352\n66751 100000\n61144 91764\n22367 33497\n74698 100000\n81467 100000\n40648 61043\n89850 100000\n71914 100000\n79811 100000\n86513 100000\n97298 100000\n69734 100000\n56167 84322\n74252 100000\n91216 100000\n49571 74454\n13542 20234\n98740 100000\n735 1085\n79267 100000\n84145 100000\n66315 99455\n56916 85460\n45400 68166\n73732 100000\n83725 100000\n81654 100000\n84773 100000\n65886 98818\n58603 87979\n30035 45014\n41031 61624\n18977 28379\n48088 72233\n21672 32452\n94052 100000\n20189 30220\n13032 19475\n82288 100000\n47423 71228\n13473 20135\n92506 100000\n99330 100000\n38662 58052\n3414 5073\n30106 45123\n26421 39558\n65176 97768\n13840 20678\n36041 54100\n27102 40595\n40506 60827\n5871 8747\n90659 100000\n1910 2839\n38963 58514\n86618 100000\n91909 100000\n47534 71402\n44005 66092\n29318 43940\n5197 7765\n29402 44061\n36429 54675\n62503 93790\n53324 80038\n7010 10440\n10819 16142\n15174 22657\n59260 88957\n50683 76126\n92438 100000\n49787 74783\n33895 50861\n62372 93597\n68058 100000\n34465 51709\n46768 70233\n60659 91033\n68057 100000\n87418 100000\n73780 100000\n72923 100000\n51367 77146\n6346 9449\n26164 39165\n39215 58889\n54564 81906\n49651 74574\n18590 27786\n39825 59807\n30034 45013\n97006 100000\n93475 100000\n65000 97512\n78450 100000\n77633 100000\n8220 12255\n11265 16813\n92074 100000\n88799 100000\n7302 10891\n713 1052\n28802 43164\n15606 23318\n91133 100000\n62092 93172\n72883 100000\n92882 100000\n5400 8061\n25689 38461\n39868 59868\n85318 100000\n8031 11973\n17925 26783\n2236 3328\n73877 100000\n47562 71446\n29594 44348\n14427 21548\n8710 12985\n64016 96037\n49277 74013\n96885 100000\n40467 60763\n70691 100000\n9353 13951\n11558 17257\n94884 100000\n5531 8245\n67929 100000\n95201 100000\n80520 100000\n94388 100000\n1161 1726\n89076 100000\n17026 25432\n14558 21744\n54039 81112\n78364 100000\n12102 18081\n85500 100000\n91891 100000\n38906 58430\n61492 92276\n61279 91951\n80379 100000\n94633 100000\n13997 20913\n15481 23118\n73274 100000\n40569 60921\n4321 6453\n29348 43982\n5940 8845\n83917 100000\n10435 15547\n17873 26699\n80281 100000\n50406 75703\n28327 42443\n23488 35157\n77577 100000\n47124 70773\n4231 6314\n3932 5865\n78560 100000\n61274 91943\n65790 98672\n34153 51241\n91518 100000\n29717 44537\n40949 61494\n25207 37738\n26486 39659\n39020 58602\n64337 96510\n68978 100000\n42849 64357\n75907 100000\n33027 49553\n55333 83064\n32616 48919\n96798 100000\n29191 43749\n80679 100000\n33072 49618\n95904 100000\n10727 15998\n57836 86823\n51053 76669\n42642 64052\n84921 100000\n74417 100000\n7499 11189\n87405 100000\n32150 48212\n10208 15216\n91454 100000\n22109 33109\n11520 17200\n84428 100000\n35220 52859\n59251 88944\n75548 100000\n61195 91833\n63349 95034\n50565 75953\n61787 92714\n71471 100000\n27747 41574\n84226 100000\n44946 67487\n84796 100000\n71989 100000\n73872 100000\n68382 100000\n24879 37244\n88579 100000\n74860 100000\n83284 100000\n55043 82614\n34551 51841\n4745 7083\n49843 74868\n21618 32369\n70448 100000\n23721 35503\n95571 100000\n86636 100000\n50596 76001\n41338 62089\n36310 54502\n7383 11018\n32484 48724\n98776 100000\n16865 25195\n59344 89084\n6916 10300\n60503 90798\n49945 75011\n69259 100000\n88938 100000\n18103 27055\n33851 50796\n65482 98224\n34430 51653\n89488 100000\n76057 100000\n72673 100000\n85121 100000\n4767 7117\n12614 18852\n77115 100000\n22634 33880\n99023 100000\n1260 1874\n66496 99724\n30508 45750\n52543 78872\n9288 13857\n42996 64586\n52933 79460\n89193 100000\n43803 65784\n26718 40005\n12461 18620\n13802 20620\n3047 4532\n39244 58928\n52171 78331\n10010 14926\n42837 64341\n62522 93818\n5866 8737\n19116 28588\n81545 100000\n46459 69763\n15884 23732\n55802 83786\n11116 16592\n57482 86295\n34625 51956\n26770 40087\n21363 31976\n41289 62013\n79642 100000\n42604 63997\n23586 35294\n81431 100000\n75813 100000\n80397 100000\n3879 5787\n46147 69286\n11514 17191\n59271 88974\n51679 77605\n7717 11509\n41207 61891\n8909 13281\n95982 100000\n91199 100000\n22878 34235\n48350 72614\n56935 85487\n44962 67511\n1588 2378\n98053 100000\n30798 46188\n96048 100000\n46022 69099\n45825 68808\n9692 14442\n41480 62297\n25567 38276\n53193 79835\n68591 100000\n41016 61597\n10131 15107\n54368 81605\n47743 71725\n85766 100000\n25675 38442\n26546 39750\n73966 100000\n72102 100000\n14639 21862\n94935 100000\n22630 33875\n50122 75281\n46564 69926\n82517 100000\n29369 44014\n46126 69257\n5281 7891\n17609 26320\n73245 100000\n84960 100000\n70499 100000\n98234 100000\n10412 15514\n11106 16576\n39509 59340\n73734 100000\n4828 7209\n67628 100000\n9341 13933\n47762 71755\n78952 100000\n99618 100000\n1104 1634\n96908 100000\n46945 70496\n33302 49961\n29143 43673\n56136 84277\n74681 100000\n33078 49629\n43081 64712\n14080 21035\n52438 78719\n92013 100000\n33462 50210\n95221 100000\n26843 40198\n25272 37835\n96463 100000\n67553 100000\n33149 49734\n37678 56547\n68773 100000\n28121 42124\n47444 71258\n51453 77279\n66493 99721\n85291 100000\n24281 36339\n99069 100000\n70812 100000\n79500 100000\n7218 10762\n75674 100000\n84173 100000\n84853 100000\n78684 100000\n71737 100000\n17356 25932\n30711 46056\n43303 65058\n56576 84940\n1370 2044\n3811 5690\n45120 67749\n60907 91414\n2138 3187\n85100 100000\n63082 94638\n34263 51401\n48679 73110\n38079 57149\n72073 100000\n56029 84122\n50379 75659\n76256 100000\n37329 56012\n97179 100000\n34432 51656\n72810 100000\n59365 89114\n69915 100000\n16363 24442\n20671 30951\n24011 35933\n72878 100000\n64341 96516\n53526 80338\n44876 67382\n43259 64993\n8707 12980\n26244 39289\n64521 96794\n48993 73591\n27086 40569\n44237 66431\n793 1170\n86448 100000\n94203 100000\n85832 100000\n48596 72979\n75610 100000\n53484 80275\n5772 8598\n73816 100000\n4911 7333\n18259 27294\n37446 56199\n74244 100000\n65309 97966\n86086 100000\n83024 100000\n61672 92543\n36472 54739\n82446 100000\n67897 100000\n1883 2803\n60893 91394\n55530 83365\n80603 100000\n11862 17718\n39303 59022\n56567 84928\n30120 45145\n35758 53669\n9278 13840\n45248 67943\n92805 100000\n46854 70364\n53311 80019\n51668 77588\n38017 57055\n68350 100000\n92415 100000\n88524 100000\n55048 82623\n15530 23195\n47176 70854\n10163 15153\n86330 100000\n84608 100000\n77592 100000\n37806 56734\n74137 100000\n17559 26241\n42365 63645\n60727 91138\n4102 6119\n87003 100000\n80775 100000\n70790 100000\n18717 27975\n23676 35430\n31259 46872\n92520 100000\n22772 34081\n18433 27552\n76532 100000\n77503 100000\n16273 24307\n41605 62492\n79032 100000\n53229 79894\n96157 100000\n53014 79578\n70528 100000\n45391 68153\n86825 100000\n33977 50974\n76390 100000\n1062 1573\n90195 100000\n98796 100000\n27314 40910\n45363 68109\n35640 53485\n65299 97951\n73132 100000\n86458 100000\n36094 54185\n66396 99569\n41363 62126\n34932 52416\n19516 29202\n87565 100000\n36872 55338\n94155 100000\n12433 18576\n34365 51550\n20324 30440\n63798 95711\n9467 14112\n6761 10062\n35655 53507\n14135 21120\n47594 71497\n28548 42784\n30981 46461\n96886 100000\n43416 65228\n22271 33354\n55113 82724\n6268 9329\n30840 46250\n97013 100000\n84860 100000\n21013 31465\n26847 40203\n69829 100000\n90279 100000\n73365 100000\n96250 100000\n83374 100000\n85463 100000\n78775 100000\n77954 100000\n72131 100000\n6821 10153\n66935 100000\n45338 68076\n74963 100000\n62705 94095\n36578 54890\n94829 100000\n47273 71007\n35291 52963\n34481 51732\n53672 80555\n78134 100000\n88009 100000\n87133 100000\n49927 74987\n46362 69619\n38857 58357\n45866 68863\n42136 63281\n87425 100000\n13485 20153\n85287 100000\n53655 80530\n90544 100000\n9439 14076\n58192 87356\n78578 100000\n50623 76044\n51474 77310\n67786 100000\n51072 76698\n38421 57683\n37434 56181\n79132 100000\n22759 34067\n33134 49711\n41056 61664\n97925 100000\n2601 3877\n80294 100000\n91967 100000\n37442 56193\n41830 62827\n87920 100000\n14157 21155\n42989 64576\n30353 45513\n89945 100000\n33617 50445\n19788 29622\n90650 100000\n45704 68629\n70503 100000\n76753 100000\n74587 100000\n76512 100000\n52314 78538\n30233 45322\n8020 11956\n3246 4829\n5242 7830\n2947 4387\n82383 100000\n91628 100000\n93298 100000\n6345 9448\n36391 54618\n27363 40983\n10664 15892\n67824 100000\n51929 77973\n17775 26548\n28350 42475\n36700 55080\n12540 18738\n65123 97695\n90937 100000\n87742 100000\n57955 87002\n31133 46682\n24965 37378\n30502 45741\n89877 100000\n28560 42800\n72749 100000\n63185 94791\n34035 51066\n25294 37864\n5751 8570\n5797 8640\n3199 4759\n63361 95051\n47809 71819\n20956 31384\n50088 75233\n76142 100000\n93578 100000\n95785 100000\n91764 100000\n30261 45367\n496 734\n66073 99099\n43796 65772\n47245 70961\n55895 83924\n94857 100000\n25661 38420\n81939 100000\n3612 5382\n76291 100000\n87673 100000\n79747 100000\n375 550\n42553 63915\n7384 11020\n35642 53489\n31827 47719\n42218 63408\n47537 71407\n50408 75707\n18562 27743\n11780 17590\n3667 5466\n20473 30652\n37062 55620\n25667 38430\n28428 42599\n71366 100000\n94732 100000\n36256 54425\n41540 62397\n93445 100000\n20927 31340\n12107 18089\n32509 48762\n5825 8678\n68466 100000\n82638 100000\n63203 94817\n3608 5375\n63583 95382\n76294 100000\n12674 18941\n73334 100000\n26527 39720\n28804 43168\n37416 56153\n22338 33450\n85625 100000\n40258 60443\n93917 100000\n43128 64787\n31206 46793\n92468 100000\n38095 57172\n11753 17548\n97491 100000\n58929 88471\n73174 100000\n17324 25881\n31475 47199\n99022 100000\n53482 80272\n75647 100000\n30413 45604\n40297 60503\n3991 5951\n39670 59576\n98203 100000\n43795 65770\n42394 63688\n99504 100000\n61011 91561\n5490 8186\n79404 100000\n96634 100000\n77057 100000\n9103 13571\n25792 38608\n57093 85720\n33431 50162\n71074 100000\n47215 70915\n30167 45219\n76573 100000\n5267 7869\n41788 62762\n59120 88748\n3903 5821\n5037 7528\n62029 93080\n25116 37599\n36404 54638\n76268 100000\n7505 11199\n45783 68746\n97708 100000\n4561 6820\n88684 100000\n37769 56677\n51827 77829\n27833 41699\n98256 100000\n85104 100000\n81841 100000\n76299 100000\n70843 100000\n72306 100000\n38949 58491\n81324 100000\n76026 100000\n5136 7680\n6529 9725\n53052 79628\n64328 96496\n16216 24219\n68651 100000\n80989 100000\n89376 100000\n61230 91880\n62803 94240\n36347 54558\n96827 100000\n57843 86833\n91417 100000\n44235 66428\n84296 100000\n47440 71253\n55906 83942\n16323 24380\n41612 62502\n99398 100000\n19055 28491\n73841 100000\n3336 4957\n55385 83143\n78685 100000\n49570 74452\n15015 22408\n24078 36029\n8643 12879\n51004 76596\n48025 72138\n56372 84641\n32330 48483\n81747 100000\n56141 84284\n83830 100000\n64345 96523\n5061 7566\n75587 100000\n52021 78111\n57791 86752\n99952 100000\n93879 100000\n6841 10184\n60861 91344\n42379 63664\n6465 9630\n2363 3513\n14592 21788\n44836 67325\n21888 32772\n64351 96530\n14634 21855\n31674 47502\n43387 65182\n94876 100000\n26778 40099\n451 659\n92812 100000\n87204 100000\n86337 100000\n69834 100000\n2580 3842\n29165 43709\n17353 25928\n92111 100000\n14659 21891\n16941 25305\n68061 100000\n51428 77240\n48723 73181\n65334 98003\n390 571\n70180 100000\n10390 15483\n72386 100000\n53665 80544\n49363 74144\n11529 17216\n51849 77862\n38218 57367\n25244 37792\n50550 75936\n15836 23664\n35054 52602\n32163 48234\n42072 63181\n86131 100000\n4327 6462\n35208 52841\n39194 58862\n72894 100000\n52626 79003\n42762 64228\n7319 10917\n356 522\n35119 52707\n12423 18560\n42963 64537\n49187 73878\n39059 58662\n35693 53567\n48101 72251\n92110 100000\n95695 100000\n48162 72343\n88141 100000\n85099 100000\n49182 73871\n51567 77440\n12836 19186\n18788 28088\n77851 100000\n1454 2167\n97357 100000\n82390 100000\n37927 56916\n12594 18823\n40252 60435\n33266 49905\n38087 57159\n18917 28285\n70341 100000\n59884 89884\n8467 12617\n97530 100000\n54218 81383\n81275 100000\n49134 73800\n9490 14145\n67524 100000\n24469 36618\n28214 42272\n72151 100000\n37949 56947\n31160 46721\n73454 100000\n69823 100000\n37116 55700\n54741 82168\n472 696\n82239 100000\n15961 23845\n30900 46340\n94471 100000\n9620 14331\n92791 100000\n84487 100000\n56638 85038\n19748 29559\n84912 100000\n47520 71380\n52994 79552\n97244 100000\n13299 19882\n59977 90026\n60869 91357\n74726 100000\n350 514\n39520 59356\n91513 100000\n60957 91484\n78398 100000\n6269 9330\n96826 100000\n86234 100000\n46719 70161\n84877 100000\n89676 100000\n86256 100000\n54835 82306\n56716 85155\n58685 88110\n81448 100000\n88809 100000\n38980 58541\n77511 100000\n8907 13279\n3543 5275\n4244 6333\n88808 100000\n37665 56522\n18301 27359\n13890 20758\n70172 100000\n80839 100000\n85546 100000\n192 277\n62139 93246\n85255 100000\n6136 9130\n99054 100000\n37794 56716\n36983 55504\n6835 10174\n50014 75119\n30427 45626\n61913 92908\n69448 100000\n43727 65669\n1407 2098\n98214 100000\n59807 89769\n13607 20334\n47792 71797\n17046 25461\n43940 65993\n58662 88075\n23770 35574\n60701 91095\n94838 100000\n3250 4835\n48761 73236\n27769 41605\n1416 2110\n38299 57497\n42558 63923\n73835 100000\n43744 65694\n99248 100000\n4243 6332\n66508 99744\n99973 100000\n2327 3462\n468 690\n91323 100000\n36709 55093\n51224 76933\n96458 100000\n83650 100000\n19637 29390\n60982 91519\n82201 100000\n83889 100000\n78412 100000\n66266 99381\n38975 58533\n79987 100000\n94375 100000\n31299 46936\n6081 9047\n10961 16360\n68410 100000\n68154 100000\n33314 49982\n91185 100000\n12991 19416\n79115 100000\n72720 100000\n25593 38317\n88903 100000\n44659 67059\n45767 68718\n66150 99202\n71173 100000\n39153 58801\n19533 29228\n52764 79207\n45935 68969\n82423 100000\n25801 38623\n59802 89761\n70365 100000\n12788 19121\n83516 100000\n25933 38816\n15183 22672\n79695 100000\n98811 100000\n37346 56037\n18870 28211\n48229 72446\n3324 4939\n70748 100000\n61779 92701\n64291 96445\n49711 74670\n98347 100000\n19208 28728\n21500 32192\n82469 100000\n63292 94946\n46789 70263\n26122 39101\n65201 97804\n91755 100000\n39871 59872\n14962 22329\n81265 100000\n13231 19777\n18204 27209\n56533 84879\n7334 10944\n34137 51214\n58896 88423\n97133 100000\n76187 100000\n50480 75820\n26292 39361\n67669 100000\n75251 100000\n33586 50396\n86841 100000\n83237 100000\n53716 80620\n42169 63328\n17055 25475\n15532 23198\n87563 100000\n45417 68194\n60766 91197\n35982 54010\n34433 51658\n90181 100000\n77529 100000\n84521 100000\n11796 17619\n90007 100000\n50954 76522\n65375 98064\n22121 33125\n6353 9457\n2198 3273\n98966 100000\n81530 100000\n47053 70662\n86317 100000\n30595 45881\n35494 53266\n41665 62580\n4349 6494\n35518 53305\n51635 77544\n70822 100000\n87891 100000\n7518 11216\n92216 100000\n67465 100000\n3056 4546\n79495 100000\n68897 100000\n29296 43907\n38706 58121\n98763 100000\n98499 100000\n2014 2990\n18363 27448\n52599 78957\n70293 100000\n53648 80517\n74594 100000\n76845 100000\n90906 100000\n77792 100000\n42720 64163\n65551 98326\n22057 33028\n87322 100000\n71826 100000\n58118 87250\n68438 100000\n1889 2810\n68963 100000\n48885 73424\n10533 15693\n3416 5075\n94450 100000\n96243 100000\n84036 100000\n16658 24882\n47400 71193\n46677 70095\n75864 100000\n14675 21917\n91992 100000\n81420 100000\n82121 100000\n24795 37114\n14090 21049\n50374 75652\n6877 10237\n77784 100000\n62002 93036\n62342 93555\n10437 15549\n71144 100000\n93469 100000\n44911 67434\n83554 100000\n67934 100000\n77918 100000\n54022 81089\n14268 21317\n85641 100000\n75924 100000\n753 1112\n87588 100000\n84058 100000\n57519 86352\n67353 100000\n15469 23099\n29805 44669\n94238 100000\n98007 100000\n39991 60049\n27806 41658\n90647 100000\n37541 56343\n59443 89232\n57332 86079\n78913 100000\n98785 100000\n55489 83301\n89349 100000\n10187 15187\n64296 96451\n55270 82963\n34399 51605\n50752 76229\n62687 94072\n46720 70163\n96603 100000\n35587 53404\n75178 100000\n59743 89674\n80384 100000\n71873 100000\n19777 29604\n39046 58641\n61686 92563\n4466 6666\n29843 44723\n31993 47974\n87885 100000\n52789 79241\n12987 19410\n44026 66122\n26710 39992\n5733 8545\n14185 21196\n3839 5732\n87359 100000\n68817 100000\n26023 38956\n49528 74389\n1817 2704\n46487 69807\n34812 52243\n68987 100000\n21807 32649\n15309 22861\n83435 100000\n7304 10893\n96177 100000\n42498 63838\n15579 23276\n96240 100000\n60304 90503\n78184 100000\n23669 35420\n27991 41936\n67819 100000\n87559 100000\n49038 73657\n79949 100000\n42343 63611\n68965 100000\n30528 45779\n25041 37487\n51299 77045\n19703 29494\n45062 67666\n36 52\n29949 44881\n28267 42349\n89783 100000\n4301 6423\n67643 100000\n15248 22769\n69543 100000\n23157 34649\n66797 100000\n79448 100000\n42906 64448\n62165 93286\n75993 100000\n81672 100000\n3937 5873\n8963 13362\n69367 100000\n73916 100000\n47879 71923\n54579 81927\n46631 70025\n98604 100000\n77650 100000\n8510 12683\n19975 29897\n50844 76365\n19676 29449\n86838 100000\n69151 100000\n20447 30619\n13541 20232\n86526 100000\n64263 96405\n64703 97070\n35678 53540\n82944 100000\n35195 52821\n8954 13347\n92582 100000\n27254 40820\n42793 64274\n21614 32364\n65880 98808\n24233 36264\n82354 100000\n78906 100000\n4385 6548\n92113 100000\n22767 34075\n56607 84986\n25818 38648\n75688 100000\n86290 100000\n38274 57457\n30886 46316\n86604 100000\n6077 9042\n67021 100000\n55457 83254\n88017 100000\n3935 5869\n48487 72819\n98766 100000\n80333 100000\n47382 71170\n61155 91779\n22606 33842\n36091 54181\n63074 94628\n65976 98945\n41456 62261\n44628 67014\n18829 28148\n14991 22372\n73710 100000\n64281 96431\n41875 62892\n9853 14688\n85322 100000\n71791 100000\n67622 100000\n17399 25999\n91442 100000\n56613 84995\n59051 88651\n20823 31184\n68199 100000\n81198 100000\n70171 100000\n46004 69073\n40722 61156\n28722 43042\n13282 19859\n21974 32901\n55830 83833\n84498 100000\n35670 53529\n70755 100000\n72257 100000\n22681 33952\n7034 10477\n79746 100000\n45486 68286\n39763 59715\n22411 33565\n46604 69984\n63779 95679\n31236 46839\n65364 98047\n50410 75709\n45012 67588\n46507 69836\n63156 94750\n4051 6038\n38437 57705\n13533 20221\n32731 49091\n44349 66600\n81866 100000\n95602 100000\n79287 100000\n69135 100000\n26331 39424\n83338 100000\n96992 100000\n26617 39854\n75719 100000\n95956 100000\n36670 55036\n3866 5770\n34790 52214\n91972 100000\n78485 100000\n94524 100000\n28460 42651\n28705 43015\n14247 21288\n54585 81936\n37317 55995\n25016 37457\n51972 78040\n53939 80964\n59441 89229\n63876 95830\n68254 100000\n16117 24076\n55626 83518\n12539 18736\n79085 100000\n5070 7579\n68879 100000\n20374 30512\n28555 42793\n56940 85494\n88974 100000\n60452 90725\n75153 100000\n51529 77386\n63204 94818\n11287 16847\n9334 13923\n16322 24379\n95865 100000\n63137 94725\n94746 100000\n54464 81750\n52516 78834\n33535 50318\n5598 8341\n93929 100000\n37812 56742\n91443 100000\n4725 7052\n52931 79456\n42911 64457\n73431 100000\n87935 100000\n80499 100000\n27265 40836\n8864 13210\n68381 100000\n13351 19956\n36990 55513\n48308 72559\n28732 43056\n57434 86226\n40899 61421\n63941 95926\n22056 33026\n53876 80870\n31317 46962\n30894 46330\n92171 100000\n79177 100000\n71079 100000\n66452 99656\n8320 12398\n35010 52536\n27226 40775\n92795 100000\n51784 77764\n23527 35212\n21587 32323\n39757 59706\n94828 100000\n75084 100000\n72808 100000\n59008 88587\n75609 100000\n5311 7933\n63315 94983\n67744 100000\n45781 68742\n68709 100000\n651 957\n77537 100000\n1692 2523\n41296 62025\n80879 100000\n58783 88249\n60888 91386\n28887 43296\n68804 100000\n22008 32953\n86680 100000\n78999 100000\n67777 100000\n31123 46667\n41741 62692\n21567 32292\n55543 83389\n58216 87392\n48969 73553\n26752 40057\n54698 82102\n41997 63073\n9454 14096\n293 426\n1866 2776\n40224 60392\n19463 29119\n35813 53754\n16625 24832\n65495 98245\n70544 100000\n60464 90743\n5477 8167\n84402 100000\n2195 3267\n60306 90505\n10023 14946\n1157 1720\n88311 100000\n29657 44447\n10624 15830\n96657 100000\n18338 27412\n40086 60188\n30698 46038\n11203 16715\n20271 30351\n33845 50785\n35633 53476\n84451 100000\n351 516\n56150 84297\n44710 67139\n3422 5084\n28679 42980\n66206 99290\n90315 100000\n18696 27942\n72557 100000\n76515 100000\n1850 2754\n46785 70256\n29081 43588\n33353 50049\n89235 100000\n22866 34217\n28185 42224\n98384 100000\n15310 22863\n55451 83244\n53629 80491\n64570 96875\n75002 100000\n42077 63187\n4027 6006\n8021 11957\n17448 26079\n63515 95280\n29725 44550\n57315 86055\n33848 50790\n9967 14866\n72693 100000\n73112 100000\n37188 55808\n90461 100000\n76386 100000\n96513 100000\n83519 100000\n7837 11683\n32818 49226\n40709 61138\n78246 100000\n23788 35601\n90901 100000\n45651 68546\n92560 100000\n64441 96667\n63252 94888\n15081 22514\n36609 54937\n31069 46586\n7425 11080\n18233 27255\n74664 100000\n79663 100000\n42790 64271\n27322 40924\n36607 54934\n27656 41433\n55555 83408\n70278 100000\n88259 100000\n7798 11627\n54219 81385\n36989 55511\n70627 100000\n84833 100000\n27116 40613\n42242 63451\n22669 33934\n79923 100000\n4187 6252\n65205 97809\n28920 43344\n15279 22817\n66631 99924\n78907 100000\n21341 31944\n51771 77744\n46086 69194\n64154 96241\n77147 100000\n67248 100000\n43440 65262\n39624 59511\n25346 37944\n55550 83400\n16640 24855\n98485 100000\n70000 100000\n89831 100000\n22618 33858\n32957 49444\n69134 100000\n24923 37310\n72455 100000\n90436 100000\n14993 22374\n91733 100000\n33373 50081\n92459 100000\n25742 38538\n72288 100000\n7478 11157\n90107 100000\n63122 94697\n44244 66443\n74504 100000\n98631 100000\n51146 76814\n57761 86705\n185 266\n43359 65142\n64371 96561\n45617 68493\n9436 14072\n60190 90342\n51686 77616\n91116 100000\n11088 16552\n23167 34664\n45497 68303\n57523 86359\n24627 36857\n77678 100000\n53613 80469\n79108 100000\n21938 32848\n65002 97515\n54544 81874\n76429 100000\n97139 100000\n80174 100000\n15678 23426\n39599 59476\n45880 68886\n64927 97399\n492 728\n43296 65048\n2029 3013\n91285 100000\n88984 100000\n59144 88785\n43241 64964\n28598 42862\n20556 30779\n25410 38042\n48053 72178\n67543 100000\n25269 37831\n2801 4172\n86737 100000\n73744 100000\n16601 24799\n91729 100000\n24904 37283\n79549 100000\n55778 83750\n23021 34443\n16733 24996\n48987 73583\n22985 34393\n93626 100000\n94874 100000\n21146 31660\n72662 100000\n8806 13122\n20363 30497\n48876 73411\n83724 100000\n75701 100000\n87138 100000\n10513 15662\n14278 21331\n74803 100000\n10402 15500\n30944 46408\n83174 100000\n68521 100000\n42362 63641\n12417 18551\n77970 100000\n27949 41874\n23908 35777\n7526 11228\n24551 36741\n15902 23757\n2144 3196\n98102 100000\n61213 91858\n90797 100000\n67710 100000\n71599 100000\n13316 19906\n61024 91583\n78382 100000\n54140 81273\n54411 81671\n98859 100000\n498 738\n72841 100000\n51666 77585\n3307 4912\n8594 12806\n89448 100000\n54246 81421\n78748 100000\n28962 43407\n72231 100000\n82824 100000\n3898 5814\n82694 100000\n16906 25255\n95639 100000\n89523 100000\n88265 100000\n68403 100000\n11357 16955\n43008 64604\n11210 16727\n58740 88193\n51403 77207\n20069 30043\n54217 81382\n88153 100000\n96571 100000\n72514 100000\n77364 100000\n39131 58766\n4569 6833\n73191 100000\n2194 3266\n45832 68819\n67192 100000\n27237 40792\n2935 4371\n92502 100000\n44108 66243\n15071 22498\n73356 100000\n20003 29942\n7128 10623\n95262 100000\n64077 96125\n66226 99319\n9280 13844\n17893 26731\n1372 2046\n17297 25843\n20110 30105\n37217 55853\n35880 53858\n23830 35665\n17105 25551\n33288 49939\n37579 56400\n10366 15451\n67663 100000\n59372 89126\n61327 92027\n99305 100000\n4317 6446\n5890 8773\n78220 100000\n83463 100000\n67678 100000\n79305 100000\n34706 52082\n75021 100000\n34600 51920\n90747 100000\n99310 100000\n44342 66590\n1481 2210\n83027 100000\n43844 65843\n18462 27593\n225 327\n56501 84828\n17610 26322\n66826 100000\n46181 69337\n32312 48455\n5191 7758\n20838 31205\n18081 27021\n20353 30483\n21327 31926\n65050 97587\n93428 100000\n48533 72886\n11539 17230\n84524 100000\n50599 76006\n44473 66789\n95420 100000\n47509 71365\n38443 57714\n81501 100000\n45182 67844\n60312 90514\n68928 100000\n6202 9228\n92923 100000\n42140 63286\n94651 100000\n17970 26853\n90206 100000\n17377 25965\n74253 100000\n66885 100000\n78561 100000\n77346 100000\n7898 11772\n3459 5142\n64960 97449\n26464 39625\n95666 100000\n30214 45295\n74318 100000\n92432 100000\n96770 100000\n70191 100000\n72404 100000\n65565 98346\n76823 100000\n16292 24333\n11817 17653\n42587 63971\n21 30\n7345 10962\n8972 13375\n90387 100000\n22134 33145\n96443 100000\n42489 63826\n64175 96268\n52430 78707\n34911 52384\n53220 79880\n21430 32083\n86692 100000\n8208 12239\n45914 68937\n20329 30448\n54329 81549\n87385 100000\n60716 91120\n73249 100000\n66382 99552\n65194 97795\n51693 77629\n15247 22768\n22255 33328\n13365 19977\n7014 10447\n54484 81780\n37845 56789\n95119 100000\n85108 100000\n86785 100000\n14685 21931\n60528 90836\n92693 100000\n9028 13459\n84223 100000\n75263 100000\n29593 44346\n46819 70311\n51673 77597\n23449 35102\n25152 37655\n71233 100000\n85457 100000\n39778 59739\n18482 27625\n53904 80912\n24794 37112\n84769 100000\n8612 12833\n6167 9177\n3542 5273\n84302 100000\n53252 79931\n9795 14601\n59315 89038\n62603 93942\n24001 35920\n68341 100000\n22438 33603\n99712 100000\n21085 31569\n8017 11951\n73120 100000\n89790 100000\n75912 100000\n1557 2328\n8964 13363\n12453 18607\n56416 84704\n36037 54095\n65135 97712\n85623 100000\n49689 74637\n96495 100000\n90100 100000\n81242 100000\n20916 31322\n26194 39212\n63209 94825\n34459 51700\n42147 63298\n15039 22449\n72085 100000\n73562 100000\n9869 14711\n85487 100000\n44821 67304\n60120 90236\n55145 82769\n62250 93416\n96512 100000\n4864 7265\n78215 100000\n6014 8957\n78020 100000\n10469 15597\n92095 100000\n25216 37749\n19217 28743\n14027 20957\n53358 80088\n19269 28824\n70556 100000\n32222 48318\n75948 100000\n21777 32604\n41810 62795\n85259 100000\n9636 14351\n56939 85493\n9573 14261\n69931 100000\n94850 100000\n11217 16736\n19488 29157\n2719 4048\n47139 70798\n1795 2671\n36290 54471\n45745 68687\n48149 72322\n27622 41383\n77645 100000\n58166 87317\n17211 25720\n85604 100000\n645 948\n74794 100000\n83207 100000\n21421 32070\n22819 34150\n88848 100000\n78976 100000\n29238 43821\n94914 100000\n73427 100000\n91134 100000\n41640 62541\n65892 98826\n76483 100000\n11980 17892\n73603 100000\n72638 100000\n13979 20886\n75234 100000\n45429 68212\n42241 63449\n49545 74414\n9961 14856\n22258 33334\n74837 100000\n38148 57256\n17347 25919\n99546 100000\n47511 71368\n44343 66591\n91627 100000\n73720 100000\n5974 8900\n6070 9033\n3852 5749\n6606 9835\n92151 100000\n1513 2261\n63453 95184\n56988 85565\n53990 81041\n81288 100000\n83768 100000\n9588 14280\n46235 69422\n82627 100000\n60998 91541\n28959 43403\n14914 22257\n23819 35651\n72020 100000\n19524 29215\n36895 55370\n66766 100000\n67424 100000\n62782 94210\n32853 49285\n49992 75084\n22063 33038\n9524 14196\n33850 50794\n54426 81693\n80624 100000\n16695 24938\n10 15\n93497 100000\n57221 85915\n89411 100000\n93490 100000\n75621 100000\n39021 58603\n97922 100000\n62228 93383\n53758 80686\n71497 100000\n50005 75104\n48494 72830\n24713 36994\n12300 18375\n97451 100000\n77715 100000\n63712 95573\n48795 73287\n47032 70629\n79276 100000\n76521 100000\n81552 100000\n67500 100000\n42430 63743\n30848 46263\n14023 20953\n48703 73151\n58986 88554\n99057 100000\n54545 81876\n93871 100000\n84034 100000\n40726 61162\n89395 100000\n3222 4792\n35936 53939\n83910 100000\n40676 61087\n48054 72179\n78819 100000\n38744 58175\n52986 79538\n68623 100000\n9125 13604\n15414 23017\n12141 18141\n43990 66071\n88434 100000\n18335 27407\n44556 66908\n98051 100000\n55030 82595\n16053 23977\n46128 69259\n57461 86263\n52405 78670\n60679 91062\n20873 31260\n30234 45324\n50506 75861\n91064 100000\n10660 15885\n69885 100000\n28048 42017\n17587 26285\n40973 61529\n94532 100000\n1256 1869\n27275 40850\n45788 68752\n76915 100000\n33058 49597\n66660 99970\n63994 96003\n55727 83672\n53530 80343\n3122 4643\n8595 12808\n38238 57401\n17070 25500\n50253 75467\n10557 15729\n38403 57655\n95104 100000\n6357 9464\n96604 100000\n70440 100000\n5377 8028\n51688 77620\n69388 100000\n36658 55016\n83086 100000\n97064 100000\n66312 99449\n60071 90165\n67667 100000\n33739 50624\n13164 19676\n9508 14171\n14145 21135\n45041 67635\n12705 18993\n6371 9482\n74799 100000\n9608 14314\n84690 100000\n89205 100000\n4871 7276\n76941 100000\n11906 17785\n68419 100000\n18656 27883\n3381 5025\n49179 73866\n11355 16951\n94320 100000\n28158 42181\n72030 100000\n73374 100000\n10419 15524\n77702 100000\n72106 100000\n69385 100000\n56483 84802\n54653 82035\n84572 100000\n54358 81591\n60015 90081\n53401 80150\n36035 54091\n7211 10749\n25684 38454\n19035 28459\n91878 100000\n16305 24353\n32580 48865\n10329 15400\n16181 24171\n23255 34802\n60720 91127\n16714 24969\n59993 90051\n92246 100000\n93995 100000\n24396 36509\n99090 100000\n69789 100000\n96689 100000\n18985 28392\n12960 19368\n76706 100000\n28103 42098\n73059 100000\n93546 100000\n54862 82343\n57574 86437\n43675 65599\n6488 9667\n82478 100000\n39568 59427\n57520 86354\n3062 4553\n32847 49274\n69264 100000\n63574 95367\n5272 7877\n50133 75297\n995 1470\n73544 100000\n89213 100000\n48579 72956\n9955 14847\n84160 100000\n42092 63211\n43968 66038\n17116 25566\n60152 90286\n66409 99586\n84499 100000\n83335 100000\n93374 100000\n35705 53587\n45096 67714\n26917 40311\n10145 15124\n91791 100000\n18190 27189\n80357 100000\n5020 7504\n47570 71456\n8775 13072\n27786 41631\n56453 84762\n52157 78310\n80626 100000\n40047 60130\n51939 77989\n59298 89013\n58650 88056\n88718 100000\n93239 100000\n69424 100000\n65640 98445\n24519 36695\n82101 100000\n92010 100000\n46490 69812\n92449 100000\n88687 100000\n25533 38223\n59302 89020\n42388 63678\n47506 71360\n46196 69362\n43410 65218\n7674 11450\n38673 58070\n76449 100000\n4950 7396\n45733 68668\n93921 100000\n60074 90170\n47136 70793\n24719 37004\n55779 83752\n63312 94978\n59922 89941\n27252 40817\n62656 94022\n45003 67572\n21962 32884\n77533 100000\n52689 79096\n46099 69214\n23019 34440\n54995 82547\n60195 90348\n81071 100000\n84480 100000\n52932 79458\n44705 67132\n83960 100000\n97946 100000\n74287 100000\n52309 78530\n85953 100000\n65130 97705\n1217 1813\n86982 100000\n42298 63535\n78029 100000\n38784 58238\n98869 100000\n60655 91028\n21538 32248\n67822 100000\n90663 100000\n75759 100000\n30027 45003\n25083 37551\n92959 100000\n81575 100000\n40441 60720\n36690 55067\n15166 22645\n46883 70406\n82927 100000\n32281 48407\n84024 100000\n73570 100000\n46896 70423\n86864 100000\n95272 100000\n36682 55053\n1619 2418\n57402 86182\n25091 37563\n71256 100000\n42188 63358\n76221 100000\n8343 12432\n32213 48306\n77140 100000\n81540 100000\n5485 8179\n23716 35493\n72140 100000\n49465 74298\n18178 27173\n96611 100000\n17847 26657\n2186 3255\n32241 48348\n7805 11637\n3607 5373\n77612 100000\n83658 100000\n50263 75481\n63736 95613\n40057 60143\n20602 30847\n50085 75228\n28138 42150\n47409 71206\n36499 54776\n74301 100000\n60270 90454\n56071 84188\n42927 64479\n14033 20965\n98729 100000\n25549 38247\n13219 19758\n99615 100000\n75934 100000\n30190 45257\n7164 10677\n96257 100000\n38834 58319\n78751 100000\n83609 100000\n28045 42013\n81105 100000\n95264 100000\n55806 83793\n34073 51118\n32321 48468\n25332 37921\n64219 96336\n58017 87095\n63582 95381\n90371 100000\n71241 100000\n68368 100000\n94214 100000\n71754 100000\n96074 100000\n95592 100000\n61733 92631\n95862 100000\n12368 18479\n21909 32805\n91201 100000\n34028 51055\n47003 70586\n57002 85586\n50633 76057\n72959 100000\n59473 89278\n98552 100000\n97876 100000\n23173 34673\n49535 74398\n7198 10731\n98166 100000\n3365 5000\n25553 38253\n20173 30197\n7649 11413\n31000 46488\n16963 25338\n40611 60987\n46117 69244\n58967 88525\n32716 49070\n8536 12720\n47700 71659\n45751 68694\n80903 100000\n82208 100000\n71787 100000\n6549 9752\n85821 100000\n98022 100000\n25800 38621\n95484 100000\n71594 100000\n39221 58896\n99886 100000\n66081 99108\n55067 82653\n89367 100000\n74693 100000\n69447 100000\n98836 100000\n44923 67449\n65848 98758\n34811 52241\n74374 100000\n59831 89804\n66298 99428\n37058 55616\n18878 28223\n31685 47519\n86624 100000\n74891 100000\n60898 91401\n26335 39431\n26149 39142\n96665 100000\n36696 55076\n68895 100000\n22583 33807\n71835 100000\n88550 100000\n28001 41950\n3212 4777\n88875 100000\n29146 43678\n11184 16692\n31940 47892\n56375 84646\n74721 100000\n35377 53088\n52235 78424\n96842 100000\n57194 85876\n5732 8544\n78927 100000\n65207 97812\n14468 21607\n3801 5675\n46740 70190\n37274 55938\n7381 11015\n80757 100000\n83447 100000\n85392 100000\n2956 4399\n1947 2892\n45075 67683\n7348 10966\n28792 43148\n81331 100000\n51074 76702\n50060 75188\n52708 79126\n17782 26559\n3900 5817\n32479 48716\n40425 60698\n71264 100000\n67165 100000\n44706 67133\n21839 32700\n82754 100000\n20739 31059\n15377 22962\n14269 21318\n68565 100000\n25372 37984\n76839 100000\n47208 70904\n27674 41460\n39163 58815\n67138 100000\n52652 79038\n45261 67961\n83070 100000\n98652 100000\n92124 100000\n20322 30436\n50859 76387\n83293 100000\n37848 56792\n50912 76458\n43854 65859\n48060 72188\n38180 57303\n87256 100000\n13583 20297\n60418 90673\n87883 100000\n85889 100000\n19159 28655\n28291 42385\n71200 100000\n37338 56025\n57011 85600\n43943 65997\n60937 91456\n55879 83901\n86579 100000\n49638 74556\n37505 56289\n85155 100000\n78547 100000\n55352 83092\n29977 44926\n82949 100000\n94740 100000\n37171 55782\n85967 100000\n60824 91289\n60682 91065\n70725 100000\n30198 45269\n51756 77716\n70124 100000\n48737 73200\n55189 82833\n65490 98236\n75347 100000\n75205 100000\n87892 100000\n28571 42816\n96965 100000\n82054 100000\n8103 12081\n1913 2844\n66834 100000\n88401 100000\n21335 31935\n66324 99466\n21490 32179\n83429 100000\n86011 100000\n55334 83066\n3869 5774\n39629 59518\n40784 61247\n38159 57271\n65336 98007\n74139 100000\n87223 100000\n77387 100000\n51466 77298\n92358 100000\n11167 16665\n25243 37791\n53619 80478\n69390 100000\n1203 1792\n6807 10134\n98650 100000\n73633 100000\n67318 100000\n72867 100000\n37694 56569\n82409 100000\n46875 70394\n4139 6176\n72343 100000\n23566 35267\n9437 14073\n86215 100000\n32412 48610\n10668 15898\n28492 42704\n45368 68117\n47327 71081\n10840 16174\n79029 100000\n603 880\n19222 28750\n27307 40899\n85206 100000\n64048 96083\n13824 20656\n73647 100000\n73593 100000\n96709 100000\n46772 70239\n52646 79030\n25811 38638\n77820 100000\n52427 78702\n62474 93746\n2534 3773\n39203 58874\n50554 75940\n18853 28184\n68151 100000\n97052 100000\n62929 94424\n52620 78993\n43183 64876\n79380 100000\n7157 10667\n15566 23251\n51033 76639\n72689 100000\n58739 88192\n50595 76000\n45084 67696\n65591 98383\n79387 100000\n14052 20993\n7559 11280\n44364 66625\n40893 61412\n98157 100000\n34434 51660\n45185 67849\n51553 77422\n18666 27898\n90225 100000\n68261 100000\n39177 58837\n22366 33495\n27310 40904\n59013 88593\n97701 100000\n4815 7189\n89400 100000\n10758 16047\n44399 66678\n62173 93300\n34209 51324\n44488 66812\n72739 100000\n89243 100000\n35023 52556\n79261 100000\n59599 89463\n38172 57293\n94778 100000\n54363 81598\n47476 71314\n58606 87985\n78553 100000\n4899 7320\n35893 53876\n33607 50428\n3485 5183\n83381 100000\n88490 100000\n55103 82708\n74425 100000\n48608 73000\n55870 83890\n15415 23018\n64909 97374\n90278 100000\n98264 100000\n57305 86041\n87205 100000\n11118 16595\n16753 25028\n37515 56303\n54100 81213\n66209 99293\n92090 100000\n15808 23622\n66318 99459\n17494 26151\n92291 100000\n26124 39104\n92356 100000\n66172 99239\n61146 91767\n73517 100000\n82064 100000\n28060 42034\n93770 100000\n2294 3415\n24259 36304\n49372 74157\n53955 80989\n12957 19363\n18383 27476\n79697 100000\n99850 100000\n50639 76066\n13262 19824\n81101 100000\n30257 45359\n62358 93578\n49438 74257\n90613 100000\n17738 26502\n37621 56463\n47819 71834\n24219 36243\n14156 21153\n61468 92241\n22803 34127\n31896 47824\n95835 100000\n88646 100000\n71459 100000\n84904 100000\n88163 100000\n56672 85089\n21648 32415\n13567 20271\n90062 100000\n87497 100000\n19525 29217\n49796 74798\n77236 100000\n98332 100000\n82425 100000\n59420 89196\n78656 100000\n82840 100000\n58540 87886\n72628 100000\n44066 66182\n30476 45701\n35567 53378\n64229 96352\n86156 100000\n67114 100000\n11786 17602\n40470 60767\n978 1447\n49407 74212\n50100 75251\n53668 80548\n1245 1855\n55079 82671\n1070 1583\n46654 70055\n11638 17372\n19740 29549\n23165 34661\n67646 100000\n75595 100000\n11113 16586\n27935 41855\n29401 44060\n71116 100000\n17882 26714\n82284 100000\n1988 2951\n18424 27538\n21275 31855\n98701 100000\n63044 94587\n97706 100000\n94686 100000\n36317 54513\n28273 42358\n76326 100000\n37447 56201\n46741 70191\n32830 49246\n44259 66466\n88003 100000\n44557 66909\n41079 61699\n77155 100000\n64941 97419\n14544 21723\n7454 11121\n26116 39094\n39426 59216\n34846 52293\n45888 68899\n96125 100000\n82683 100000\n10423 15530\n97639 100000\n81767 100000\n82852 100000\n67962 100000\n77911 100000\n75876 100000\n91948 100000\n42636 64044\n15378 22964\n98223 100000\n99025 100000\n59199 88869\n68208 100000\n64098 96158\n14261 21309\n27883 41776\n31691 47525\n89112 100000\n2234 3324\n38467 57748\n89061 100000\n41347 62102\n64756 97147\n29742 44575\n92019 100000\n54390 81639\n31314 46958\n1929 2867\n32586 48874\n96492 100000\n33707 50578\n896 1318\n43169 64853\n11536 17226\n57775 86726\n7914 11794\n23403 35029\n45288 68000\n77731 100000\n33275 49919\n74069 100000\n67102 100000\n87671 100000\n46531 69875\n57915 86944\n97927 100000\n33364 50067\n31888 47810\n85169 100000\n97264 100000\n97394 100000\n86933 100000\n3210 4774\n881 1297\n30284 45404\n61439 92193\n48888 73429\n65328 97994\n97072 100000\n6828 10162\n38843 58334\n36952 55452\n43486 65321\n30593 45877\n86732 100000\n27139 40647\n19173 28675\n74529 100000\n78569 100000\n36910 55394\n35743 53648\n99494 100000\n52007 78089\n43269 65007\n97227 100000\n54530 81851\n15034 22442\n49695 74647\n9987 14892\n24674 36937\n87395 100000\n11394 17010\n98777 100000\n89410 100000\n30724 46074\n88643 100000\n70310 100000\n42942 64502\n68432 100000\n49167 73847\n17855 26670\n86089 100000\n50833 76351\n10760 16050\n34427 51648\n13712 20490\n82642 100000\n637 936\n60467 90747\n49365 74148\n66041 99052\n35499 53273\n23008 34427\n72968 100000\n28013 41966\n56588 84957\n23492 35164\n88155 100000\n43873 65889\n2479 3684\n76898 100000\n60200 90356\n15150 22620\n37941 56936\n91831 100000\n71378 100000\n44228 66418\n99205 100000\n12609 18846\n82264 100000\n5274 7880\n22123 33127\n74507 100000\n35665 53520\n24593 36806\n76062 100000\n24882 37248\n42650 64062\n58732 88182\n92155 100000\n82665 100000\n97730 100000\n58908 88439\n97640 100000\n71430 100000\n81798 100000\n67255 100000\n12649 18902\n67214 100000\n33926 50901\n45746 68688\n44208 66389\n4483 6690\n14492 21639\n9699 14453\n87691 100000\n12110 18094\n23698 35465\n1089 1613\n23007 34425\n88915 100000\n44354 66610\n60097 90200\n72813 100000\n10090 15048\n28056 42028\n38644 58023\n77536 100000\n97571 100000\n50490 75837\n52145 78289\n53356 80085\n25422 38061\n85484 100000\n80279 100000\n25999 38918\n57618 86502\n64476 96725\n92277 100000\n20135 30143\n79059 100000\n67120 100000\n65670 98492\n66539 99783\n48631 73034\n34261 51399\n83708 100000\n32532 48792\n51007 76601\n1018 1504\n74282 100000\n78077 100000\n31002 46491\n14009 20930\n4158 6207\n49483 74323\n35176 52791\n6416 9550\n40461 60752\n36879 55347\n17645 26370\n77133 100000\n96509 100000\n18968 28363\n43971 66043\n25191 37716\n56843 85350\n46983 70552\n46613 69999\n59958 89998\n73269 100000\n50318 75570\n81012 100000\n51906 77941\n73615 100000\n10380 15466\n27530 41246\n62524 93821\n270 392\n50089 75235\n4852 7244\n8840 13173\n74948 100000\n89585 100000\n25560 38264\n88476 100000\n39289 59000\n94218 100000\n70851 100000\n88039 100000\n82490 100000\n88522 100000\n51905 77940\n63178 94779\n39579 59442\n1163 1729\n7055 10510\n65535 98303\n61737 92636\n28192 42238\n2112 3145\n83507 100000\n60198 90353\n68201 100000\n42803 64288\n64526 96803\n44896 67411\n74703 100000\n86885 100000\n95979 100000\n31021 46516\n70416 100000\n93040 100000\n79066 100000\n97307 100000\n25154 37658\n24536 36718\n26264 39320\n40270 60461\n60729 91140\n3412 5070\n71511 100000\n15129 22588\n44832 67320\n3345 4970\n38740 58168\n24227 36254\n32063 48080\n81676 100000\n53488 80281\n90134 100000\n38679 58079\n13992 20907\n61870 92841\n40489 60797\n7920 11804\n89941 100000\n29556 44287\n83197 100000\n65898 98835\n31052 46559\n17204 25710\n3226 4798\n90219 100000\n55735 83685\n94889 100000\n53278 79967\n60347 90565\n2282 3399\n65168 97757\n78434 100000\n83995 100000\n97516 100000\n95553 100000\n58346 87588\n85316 100000\n34865 52318\n61649 92508\n51601 77493\n89700 100000\n88641 100000\n5893 8778\n3673 5475\n87071 100000\n84279 100000\n49688 74635\n43074 64703\n56251 84449\n52735 79166\n18267 27308\n24915 37300\n98327 100000\n17974 26859\n38003 57031\n66079 99106\n621 911\n18284 27333\n74985 100000\n49739 74714\n92071 100000\n93394 100000\n12321 18410\n14999 22383\n30800 46191\n65184 97781\n11743 17533\n72595 100000\n2669 3974\n83409 100000\n74491 100000\n69060 100000\n28972 43425\n97705 100000\n97259 100000\n94244 100000\n51975 78044\n20917 31324\n14515 21673\n36833 55283\n72732 100000\n58956 88512\n21103 31595\n16427 24541\n65715 98562\n60151 90284\n13900 20770\n72868 100000\n52554 78888\n93003 100000\n13972 20875\n2825 4211\n4797 7162\n61101 91696\n37081 55649\n77452 100000\n74001 100000\n76851 100000\n45336 68073\n82999 100000\n16138 24107\n94373 100000\n34084 51136\n63932 95913\n11594 17309\n51531 77389\n6683 9944\n5980 8907\n69445 100000\n48163 72345\n47996 72095\n58771 88232\n22049 33015\n10681 15916\n44656 67056\n34556 51850\n83540 100000\n40145 60273\n27416 41064\n19646 29405\n9749 14532\n68991 100000\n94523 100000\n42897 64432\n93018 100000\n97768 100000\n5794 8636\n19373 28985\n4590 6860\n69282 100000\n13029 19471\n34366 51551\n41565 62433\n99081 100000\n72882 100000\n81731 100000\n7086 10558\n62110 93202\n73519 100000\n68425 100000\n87550 100000\n13065 19524\n22865 34215\n50708 76163\n61396 92125\n76450 100000\n75707 100000\n76868 100000\n19387 29004\n90419 100000\n5215 7794\n68143 100000\n51607 77504\n55365 83113\n98113 100000\n21842 32705\n57941 86982\n23551 35244\n21361 31972\n93728 100000\n24721 37006\n71197 100000\n77408 100000\n92203 100000\n15966 23851\n76197 100000\n30195 45265\n54414 81676\n24210 36230\n59669 89567\n42909 64453\n15444 23060\n46934 70477\n37900 56871\n31805 47685\n74006 100000\n71429 100000\n81268 100000\n45507 68316\n33429 50160\n52536 78862\n91364 100000\n56260 84461\n68214 100000\n30880 46309\n16736 25000\n10759 16049\n38801 58268\n11462 17113\n18732 28000\n87089 100000\n99482 100000\n72360 100000\n148 207\n44227 66417\n36486 54757\n10685 15923\n58895 88422\n81963 100000\n68182 100000\n90521 100000\n24636 36871\n47679 71630\n8293 12356\n19890 29772\n66494 99722\n71139 100000\n35574 53386\n95801 100000\n91161 100000\n41974 63042\n36376 54598\n49756 74737\n7435 11096\n17086 25522\n34544 51831\n25347 37945\n87686 100000\n25536 38229\n35185 52806\n42135 63280\n96735 100000\n93971 100000\n60009 90073\n72372 100000\n58898 88426\n63163 94760\n11497 17164\n20706 31005\n29054 43548\n6162 9169\n59992 90049\n78461 100000\n4492 6705\n97253 100000\n37009 55543\n94572 100000\n72965 100000\n35784 53710\n65809 98702\n95299 100000\n41000 61571\n2391 3552\n61613 92450\n63317 94986\n67608 100000\n20653 30928\n35532 53325\n90974 100000\n43704 65638\n25308 37884\n58466 87768\n32798 49196\n97988 100000\n3725 5558\n95091 100000\n90269 100000\n4078 6079\n58199 87366\n66015 99011\n81852 100000\n18726 27991\n46670 70082\n95549 100000\n68539 100000\n75372 100000\n21463 32137\n51223 76932\n55317 83038\n67889 100000\n86861 100000\n17675 26412\n45155 67799\n39733 59671\n93307 100000\n87766 100000\n39083 58697\n46002 69070\n99257 100000\n80529 100000\n55190 82835\n65786 98667\n35954 53966\n2059 3059\n28788 43143\n93433 100000\n49018 73628\n74934 100000\n51998 78076\n25128 37619\n12558 18765\n37183 55800\n62822 94269\n11000 16418\n14405 21516\n24735 37026\n53674 80558\n74110 100000\n24658 36907\n50919 76470\n94993 100000\n8500 12665\n47724 71695\n90604 100000\n8168 12179\n56591 84963\n93985 100000\n24439 36570\n28471 42668\n5573 8305\n70207 100000\n84427 100000\n97417 100000\n35277 52942\n56185 84350\n57959 87006\n42068 63175\n54480 81773\n19224 28753\n32661 48987\n48675 73104\n69749 100000\n44550 66901\n50850 76373\n162 228\n37758 56661\n37251 55908\n10259 15293\n164 232\n49518 74376\n84703 100000\n74938 100000\n34989 52508\n64288 96441\n13386 20010\n38550 57878\n86057 100000\n59454 89249\n29527 44242\n97962 100000\n92268 100000\n1818 2705\n8147 12150\n8456 12601\n43302 65057\n56786 85257\n94995 100000\n36626 54965\n81508 100000\n16523 24683\n83341 100000\n71764 100000\n68029 100000\n76810 100000\n24821 37152\n55146 82771\n29953 44887\n88367 100000\n1509 2256\n83057 100000\n78993 100000\n8926 13304\n60387 90627\n66325 99468\n94948 100000\n4054 6043\n57118 85759\n80018 100000\n55986 84057\n65177 97769\n2197 3271\n21934 32842\n75796 100000\n32540 48805\n24835 37176\n61912 92907\n48956 73530\n53656 80531\n92605 100000\n86341 100000\n7203 10738\n34701 52075\n34040 51076\n95710 100000\n33965 50958\n13250 19806\n69646 100000\n26419 39556\n39004 58578\n26794 40124\n88510 100000\n5740 8554\n10176 15172\n46960 70519\n70991 100000\n87944 100000\n76331 100000\n21876 32755\n16708 24960\n17010 25413\n82849 100000\n85676 100000\n16173 24156\n85867 100000\n98047 100000\n43709 65647\n2970 4420\n56518 84854\n15340 22906\n93200 100000\n9517 14185\n16454 24578\n43510 65354\n32191 48274\n72441 100000\n17548 26227\n92239 100000\n68078 100000\n42255 63470\n51714 77658\n21332 31932\n48197 72399\n13887 20753\n44564 66918\n72924 100000\n49905 74956\n52296 78512\n64404 96610\n12916 19300\n7568 11296\n15507 23155\n3644 5430\n87137 100000\n21466 32142\n65090 97645\n44625 67008\n86242 100000\n65382 98075\n52498 78804\n65749 98615\n4914 7339\n43224 64938\n41763 62724\n87864 100000\n96412 100000\n25743 38540\n18321 27386\n63448 95174\n78293 100000\n69333 100000\n52512 78827\n50600 76008\n14432 21554\n6995 10419\n59609 89477\n87643 100000\n69086 100000\n76560 100000\n8480 12638\n2265 3372\n20944 31367\n92012 100000\n42901 64439\n34910 52382\n38055 57108\n32644 48960\n99630 100000\n90133 100000\n347 510\n47938 72009\n69605 100000\n29612 44375\n33094 49650\n88485 100000\n53823 80788\n86359 100000\n92273 100000\n72917 100000\n89922 100000\n91274 100000\n26928 40327\n97664 100000\n50274 75497\n19781 29610\n28517 42740\n66772 100000\n30217 45299\n58374 87631\n70984 100000\n59991 90048\n51662 77580\n91313 100000\n89720 100000\n87958 100000\n28032 41993\n98358 100000\n37867 56824\n17160 25641\n16804 25105\n87764 100000\n3926 5854\n72691 100000\n67127 100000\n51561 77432\n73787 100000\n46814 70303\n5066 7573\n94317 100000\n95014 100000\n80347 100000\n86237 100000\n48822 73332\n20327 30445\n82940 100000\n11553 17249\n57096 85726\n57636 86526\n54128 81258\n85565 100000\n65524 98284\n80464 100000\n14314 21384\n51276 77008\n8874 13227\n38358 57591\n30161 45208\n38428 57693\n31730 47580\n63911 95883\n97911 100000\n98370 100000\n61957 92969\n97201 100000\n44246 66446\n2777 4137\n87342 100000\n42393 63686\n86617 100000\n25328 37915\n57919 86949\n78828 100000\n46192 69356\n89662 100000\n94519 100000\n57564 86421\n11567 17270\n5873 8751\n77108 100000\n63090 94648\n68932 100000\n29177 43729\n59966 90010\n99522 100000\n87698 100000\n20216 30262\n49260 73986\n94640 100000\n95535 100000\n81361 100000\n51886 77912\n58942 88491\n54386 81634\n87337 100000\n47566 71451\n26968 40390\n7693 11476\n51870 77891\n56094 84221\n1004 1481\n78315 100000\n53313 80021\n9083 13542\n68157 100000\n4480 6687\n94528 100000\n25378 37992\n4666 6966\n13998 20914\n55100 82702\n8276 12333\n27647 41422\n88699 100000\n30002 44966\n36769 55183\n45755 68700\n37888 56856\n32387 48574\n93291 100000\n8767 13061\n93901 100000\n15786 23590\n94621 100000\n28475 42675\n93817 100000\n45157 67801\n96148 100000\n48325 72583\n27439 41101\n72608 100000\n9747 14529\n92077 100000\n16331 24393\n66782 100000\n71996 100000\n70881 100000\n90502 100000\n53089 79677\n43445 65269\n56559 84917\n16667 24898\n39875 59878\n87984 100000\n34668 52024\n41323 62069\n50669 76108\n58840 88340\n37719 56605\n47836 71860\n25050 37502\n88729 100000\n39666 59571\n25295 37865\n34173 51270\n45532 68352\n13697 20468\n21980 32910\n17786 26567\n15974 23864\n3361 4994\n57353 86111\n80038 100000\n80891 100000\n89644 100000\n12701 18986\n43811 65796\n91059 100000\n97063 100000\n98649 100000\n69949 100000\n4274 6379\n48523 72873\n78190 100000\n42222 63415\n20286 30376\n41952 63009\n54444 81719\n99568 100000\n18198 27200\n32464 48691\n22095 33090\n13311 19899\n42653 64067\n11637 17371\n93859 100000\n62746 94156\n94749 100000\n15694 23451\n93057 100000\n11488 17150\n89451 100000\n12625 18869\n58433 87717\n50849 76371\n61316 92009\n93134 100000\n352 517\n7729 11524\n13398 20028\n42194 63367\n72650 100000\n68502 100000\n64118 96188\n6618 9853\n80371 100000\n31300 46937\n28941 43377\n21208 31752\n87045 100000\n10475 15608\n85539 100000\n19003 28414\n51389 77184\n30814 46210\n87367 100000\n74197 100000\n93366 100000\n76939 100000\n94267 100000\n71742 100000\n37849 56794\n28019 41976\n17730 26491\n51462 77292\n5126 7664\n19687 29467\n91996 100000\n29788 44643\n88090 100000\n4325 6460\n62650 94013\n33579 50385\n6368 9478\n85278 100000\n18488 27633\n83215 100000\n87069 100000\n39647 59545\n22521 33720\n93128 100000\n14655 21886\n73212 100000\n31431 47138\n27540 41262\n84838 100000\n30256 45358\n40917 61443\n65125 97698\n83945 100000\n81386 100000\n99631 100000\n57406 86189\n10732 16007\n42845 64352\n93014 100000\n87499 100000\n48855 73379\n53614 80471\n14029 20959\n26909 40299\n37753 56655\n53068 79649\n51968 78035\n68546 100000\n49828 74845\n3672 5474\n93600 100000\n46660 70064\n91958 100000\n67733 100000\n69105 100000\n76991 100000\n81396 100000\n69229 100000\n43250 64978\n96907 100000\n49554 74426\n66211 99297\n85607 100000\n11308 16877\n14746 22016\n27648 41423\n18906 28269\n81862 100000\n17967 26849\n93525 100000\n71586 100000\n5261 7860\n66013 99007\n14470 21610\n53240 79914\n54398 81650\n21823 32673\n43781 65749\n3021 4495\n99390 100000\n59447 89237\n40089 60192\n32139 48195\n6705 9975\n43142 64811\n27048 40511\n43016 64615\n85172 100000\n27948 41873\n7616 11363\n35280 52946\n12758 19081\n57053 85658\n86112 100000\n93832 100000\n786 1160\n66405 99581\n74653 100000\n25674 38441\n76273 100000\n60879 91371\n23191 34700\n38979 58539\n72702 100000\n83520 100000\n18359 27442\n13599 20320\n12256 18310\n33322 49997\n18404 27508\n10591 15780\n78181 100000\n25916 38788\n30412 45603\n15254 22777\n89119 100000\n9619 14329\n48639 73049\n38134 57236\n87999 100000\n30516 45763\n80803 100000\n19925 29821\n17495 26153\n55880 83903\n49897 74946\n65313 97973\n15596 23301\n89473 100000\n95274 100000\n53154 79777\n25093 37566\n9216 13740\n48016 72124\n34720 52108\n75886 100000\n40729 61166\n14016 20943\n40558 60905\n67210 100000\n54222 81388\n6956 10360\n99770 100000\n79348 100000\n75418 100000\n67666 100000\n46316 69550\n81763 100000\n12954 19358\n15620 23341\n61456 92222\n92211 100000\n78431 100000\n89698 100000\n62176 93304\n75274 100000\n65597 98392\n78283 100000\n47284 71022\n60057 90144\n25238 37783\n37469 56232\n12531 18723\n90947 100000\n81506 100000\n93006 100000\n59626 89503\n81626 100000\n84028 100000\n47657 71594\n39706 59628\n68021 100000\n17680 26420\n93530 100000\n89401 100000\n12154 18164\n2690 4007\n40479 60782\n8732 13015\n74050 100000\n48006 72110\n46052 69138\n82645 100000\n71897 100000\n60499 90793\n27376 41005\n43185 64880\n63632 95455\n51858 77875\n62062 93128\n25248 37799\n94382 100000\n50734 76199\n69782 100000\n7374 11003\n11259 16802\n57004 85589\n17065 25492\n51328 77089\n1357 2021\n48307 72558\n22385 33522\n56815 85301\n27729 41546\n26554 39762\n72509 100000\n22962 34359\n73284 100000\n69329 100000\n16649 24870\n45884 68893\n21517 32217\n30594 45879\n36199 54342\n74339 100000\n58485 87797\n80450 100000\n36458 54717\n89187 100000\n40179 60320\n52138 78280\n11040 16478\n20072 30048\n23644 35383\n2744 4086\n26501 39681\n59860 89847\n93284 100000\n13594 20312\n83825 100000\n68409 100000\n75482 100000\n43222 64935\n22706 33988\n78035 100000\n86613 100000\n17284 25825\n46804 70287\n85774 100000\n57733 86666\n54144 81279\n19156 28649\n30240 45333\n76453 100000\n28254 42331\n78028 100000\n13863 20713\n69984 100000\n17146 25620\n54689 82090\n20244 30306\n39977 60029\n74476 100000\n96787 100000\n37836 56777\n66699 100000\n32318 48464\n95486 100000\n79019 100000\n69928 100000\n23749 35544\n54091 81198\n33698 50566\n89607 100000\n33306 49966\n33547 50335\n73372 100000\n96337 100000\n40728 61165\n99429 100000\n67203 100000\n45872 68872\n74660 100000\n16266 24296\n25872 38724\n86585 100000\n33287 49938\n974 1442\n62873 94343\n53652 80525\n73246 100000\n43740 65687\n73180 100000\n49863 74897\n39029 58613\n16705 24955\n39047 58643\n30433 45634\n39360 59111\n45716 68644\n40103 60208\n3559 5298\n42323 63580\n45331 68066\n39852 59847\n49011 73617\n46143 69280\n46337 69581\n66119 99157\n61734 92633\n54111 81230\n13947 20835\n23496 35168\n4188 6254\n73817 100000\n12374 18490\n93191 100000\n59316 89039\n16923 25277\n19904 29791\n63290 94943\n73832 100000\n73409 100000\n19255 28800\n55773 83741\n92439 100000\n6668 9923\n40725 61161\n24565 36763\n56985 85559\n74720 100000\n31429 47135\n41919 62960\n62878 94350\n43403 65208\n56538 84885\n79812 100000\n20185 30215\n50472 75809\n69763 100000\n74381 100000\n43517 65362\n89466 100000\n54069 81160\n34782 52201\n99999 100000\n24270 36320\n81980 100000\n9556 14236\n62398 93636\n16477 24615\n1068 1580\n3622 5399\n58647 88051\n2923 4354\n35368 53074\n25748 38545\n12416 18549\n41208 61892\n62602 93940\n1543 2307\n18800 28108\n90490 100000\n30270 45381\n80560 100000\n25120 37606\n32807 49210\n90160 100000\n13721 20501\n52875 79369\n85830 100000\n28567 42811\n19155 28647\n15462 23088\n11672 17420\n27717 41528\n14605 21807\n35755 53664\n10483 15618\n78076 100000\n23188 34696\n60813 91271\n2009 2982\n40484 60789\n75565 100000\n719 1062\n91373 100000\n17586 26283\n28541 42772\n82389 100000\n48009 72115\n59524 89353\n51588 77472\n30808 46203\n72688 100000\n44381 66651\n52437 78717\n83416 100000\n48179 72368\n73074 100000\n39737 59677\n72652 100000\n8206 12236\n36011 54054\n99417 100000\n65925 98873\n44167 66330\n4545 6794\n83000 100000\n91345 100000\n41600 62484\n5526 8239\n84264 100000\n96404 100000\n88121 100000\n56878 85404\n52043 78142\n30004 44968\n13952 20842\n61658 92520\n66585 99858\n96373 100000\n44460 66770\n37889 56857\n5971 8895\n39545 59393\n61676 92548\n70465 100000\n70960 100000\n55752 83710\n78227 100000\n94480 100000\n47770 71768\n44678 67089\n21142 31653\n67351 100000\n21862 32736\n3371 5009\n78269 100000\n46351 69601\n24282 36341\n36200 54344\n87503 100000\n75708 100000\n15831 23657\n59073 88682\n33678 50537\n48272 72510\n5250 7842\n65117 97685\n33645 50491\n45528 68344\n58150 87296\n73087 100000\n85454 100000\n80524 100000\n33400 50118\n91106 100000\n34529 51808\n247 358\n9233 13770\n96381 100000\n94356 100000\n84727 100000\n89628 100000\n48633 73038\n8905 13275\n61943 92948\n83078 100000\n39844 59835\n58626 88016\n36785 55208\n38472 57756\n82889 100000\n20764 31096\n58555 87908\n79677 100000\n28556 42794\n55799 83782\n44432 66732\n87925 100000\n70629 100000\n10333 15406\n91799 100000\n85043 100000\n25858 38707\n52501 78810\n11066 16516\n49827 74844\n65267 97899\n12161 18173\n42127 63268\n50963 76539\n92567 100000\n42037 63130\n23265 34817\n27488 41175\n52176 78340\n24960 37370\n24502 36668\n16881 25222\n55121 82732\n4941 7383\n15937 23806\n98473 100000\n4689 7000\n96147 100000\n92984 100000\n32542 48807\n81150 100000\n721 1065\n13294 19874\n4056 6047\n90975 100000\n6052 9007\n22455 33628\n14638 21861\n26840 40193\n11991 17909\n28823 43197\n76213 100000\n58471 87774\n37947 56945\n89110 100000\n95779 100000\n78606 100000\n49255 73980\n48861 73387\n3481 5178\n50495 75844\n51259 76985\n61952 92963\n37124 55714\n86249 100000\n87552 100000\n3397 5047\n75672 100000\n66913 100000\n28149 42166\n98175 100000\n31640 47453\n60953 91480\n72118 100000\n10391 15485\n38497 57796\n2509 3734\n16129 24092\n44987 67547\n67208 100000\n35436 53180\n7015 10448\n84636 100000\n65735 98592\n22035 32994\n45934 68968\n51423 77233\n57114 85753\n77456 100000\n6160 9166\n63681 95531\n3293 4893\n71749 100000\n41095 61722\n67959 100000\n3930 5861\n43890 65914\n52642 79026\n65149 97729\n84210 100000\n7547 11261\n20898 31298\n25345 37942\n68098 100000\n32516 48770\n82543 100000\n36049 54114\n17030 25438\n16233 24247\n96398 100000\n2809 4185\n59692 89600\n28360 42489\n11236 16766\n80780 100000\n2275 3389\n59535 89368\n79128 100000\n76230 100000\n34944 52434\n74550 100000\n89369 100000\n6151 9154\n84968 100000\n75368 100000\n66440 99636\n1559 2331\n76695 100000\n90465 100000\n71020 100000\n35092 52662\n13942 20828\n98592 100000\n83427 100000\n87422 100000\n27354 40972\n16091 24039\n49849 74879\n67791 100000\n73712 100000\n32013 48005\n48702 73149\n1433 2134\n83449 100000\n49808 74817\n35616 53450\n69228 100000\n20062 30032\n71052 100000\n3091 4598\n54318 81533\n57357 86117\n24571 36770\n7948 11846\n1544 2309\n77910 100000\n48568 72938\n64559 96858\n63586 95386\n49648 74568\n74383 100000\n88980 100000\n44136 66284\n65274 97910\n89715 100000\n96622 100000\n44093 66221\n22661 33921\n87990 100000\n23831 35667\n44148 66300\n76448 100000\n31354 47018\n36193 54335\n36115 54218\n24507 36676\n68389 100000\n17279 25819\n2222 3306\n7476 11154\n83841 100000\n66178 99247\n40464 60758\n3374 5013\n93975 100000\n51025 76630\n28768 43109\n72532 100000\n17757 26525\n4771 7122\n52428 78703\n20692 30985\n53728 80640\n28593 42853\n79331 100000\n94763 100000\n97113 100000\n22730 34024\n41471 62284\n20063 30034\n66044 99056\n47381 71169\n34539 51822\n42771 64243\n5863 8733\n29474 44165\n9075 13527\n5645 8413\n53226 79888\n32238 48343\n35867 53836\n20651 30925\n66658 99967\n41021 61607\n38788 58246\n48585 72964\n32016 48009\n21858 32731\n87632 100000\n5956 8871\n95038 100000\n49165 73844\n55776 83746\n78898 100000\n627 921\n59093 88708\n28597 42860\n54434 81705\n88899 100000\n65843 98751\n80929 100000\n67064 100000\n28727 43049\n35271 52935\n88835 100000\n91947 100000\n27772 41609\n88557 100000\n48374 72649\n8122 12107\n48666 73092\n34331 51500\n34101 51158\n62785 94213\n57301 86035\n46259 69461\n37071 55633\n17591 26291\n13453 20108\n27684 41476\n58987 88556\n50183 75367\n72901 100000\n53268 79954\n78590 100000\n15434 23046\n23240 34781\n90480 100000\n15432 23042\n30012 44978\n33204 49822\n4351 6496\n92197 100000\n86519 100000\n40905 61428\n97206 100000\n61198 91837\n66196 99274\n63547 95327\n73767 100000\n56117 84251\n91873 100000\n1201 1789\n89950 100000\n89087 100000\n17166 25651\n90791 100000\n89038 100000\n48896 73442\n99802 100000\n23194 34704\n78841 100000\n93544 100000\n75404 100000\n91552 100000\n37391 56113\n36954 55456\n24495 36657\n44120 66258\n4662 6961\n95356 100000\n78145 100000\n48277 72517\n2681 3991\n16194 24191\n14967 22336\n31753 47614\n69684 100000\n46657 70060\n41705 62639\n42104 63231\n22578 33799\n57071 85685\n2954 4395\n89124 100000\n96521 100000\n86902 100000\n79498 100000\n66289 99416\n19770 29595\n61082 91672\n54247 81423\n33847 50788\n23294 34857\n61064 91645\n76525 100000\n24007 35928\n70757 100000\n7404 11051\n27109 40603\n37399 56127\n15942 23814\n57500 86323\n72055 100000\n73638 100000\n53887 80886\n99543 100000\n9900 14762\n59462 89260\n7038 10485\n14832 22138\n90782 100000\n89348 100000\n19266 28818\n31404 47097\n69663 100000\n50580 75976\n88234 100000\n15450 23070\n23901 35768\n78333 100000\n69415 100000\n71650 100000\n8068 12028\n34664 52017\n13550 20246\n72269 100000\n70551 100000\n54758 82194\n50423 75730\n12787 19119\n4720 7044\n63914 95887\n81692 100000\n87929 100000\n12061 18017\n24966 37379\n6250 9300\n55630 83524\n91707 100000\n45870 68870\n74505 100000\n57613 86493\n90982 100000\n31084 46610\n36757 55167\n95211 100000\n35896 53881\n36454 54711\n33863 50814\n4757 7103\n93993 100000\n83510 100000\n41983 63056\n34521 51796\n19263 28814\n79263 100000\n92419 100000\n64975 97473\n12133 18130\n64054 96091\n7552 11270\n31882 47801\n21409 32051\n41130 61774\n81181 100000\n181 261\n40415 60679\n61964 92980\n56242 84433\n57098 85729\n27174 40701\n2379 3537\n91159 100000\n97686 100000\n25160 37666\n5850 8716\n45661 68559\n50349 75617\n89900 100000\n91988 100000\n93396 100000\n27300 40888\n86423 100000\n77302 100000\n96380 100000\n74559 100000\n70697 100000\n97654 100000\n28731 43055\n15680 23430\n92376 100000\n16518 24676\n32893 49351\n71203 100000\n53805 80761\n44335 66580\n45529 68346\n9424 14056\n69530 100000\n51227 76937\n93744 100000\n83541 100000\n76671 100000\n90313 100000\n38280 57466\n40909 61432\n84221 100000\n68588 100000\n5243 7831\n78267 100000\n5224 7808\n38500 57801\n60235 90407\n57372 86140\n80223 100000\n18348 27427\n15261 22787\n27927 41845\n69634 100000\n66542 99789\n25668 38432\n84133 100000\n83452 100000\n90414 100000\n73700 100000\n55558 83413\n95139 100000\n1366 2038\n79109 100000\n96631 100000\n59621 89497\n5895 8781\n12382 18503\n17708 26458\n35660 53513\n13118 19607\n64389 96589\n76165 100000\n1530 2286\n13237 19786\n91618 100000\n24466 36614\n34800 52227\n49493 74338\n53616 80475\n53038 79610\n29141 43671\n39613 59494\n1273 1891\n43987 66067\n92733 100000\n91625 100000\n15365 22942\n89232 100000\n29096 43606\n7753 11559\n91496 100000\n39959 60001\n42510 63854\n37008 55542\n99414 100000\n42560 63927\n1595 2388\n875 1286\n44189 66363\n70028 100000\n57789 86748\n55479 83285\n42744 64199\n28886 43294\n65639 98443\n88278 100000\n81793 100000\n7889 11760\n42360 63638\n19853 29713\n92437 100000\n96289 100000\n20262 30335\n74370 100000\n27776 41615\n11936 17827\n49587 74480\n63092 94651\n85301 100000\n7540 11248\n67362 100000\n6230 9270\n4169 6224\n42456 63779\n79996 100000\n75306 100000\n27412 41058\n94664 100000\n83137 100000\n49122 73781\n57503 86328\n66471 99685\n98165 100000\n53462 80243\n46482 69797\n35898 53883\n73009 100000\n54622 81987\n89181 100000\n40920 61447\n26569 39782\n33441 50179\n99708 100000\n24652 36897\n61856 92817\n76781 100000\n94354 100000\n85540 100000\n31671 47498\n31183 46758\n5083 7600\n38209 57351\n1284 1908\n29033 43513\n64224 96343\n74094 100000\n97118 100000\n51460 77290\n85115 100000\n91834 100000\n73473 100000\n1777 2648\n87664 100000\n83849 100000\n22890 34252\n76194 100000\n2831 4220\n63554 95337\n97964 100000\n76254 100000\n49291 74035\n81375 100000\n43625 65523\n969 1434\n31408 47103\n9505 14168\n28785 43138\n6799 10121\n27273 40847\n93764 100000\n83030 100000\n82000 100000\n74819 100000\n68945 100000\n89362 100000\n99265 100000\n6210 9242\n92728 100000\n41710 62646\n53739 80657\n47748 71732\n38316 57523\n99108 100000\n3079 4581\n49804 74811\n28894 43305\n93256 100000\n96602 100000\n96859 100000\n90411 100000\n31766 47629\n84346 100000\n20976 31413\n28120 42123\n78867 100000\n9269 13826\n6765 10068\n80278 100000\n62731 94137\n16234 24248\n51619 77522\n7390 11029\n46845 70349\n46968 70530\n37696 56572\n11150 16640\n23595 35308\n10860 16202\n20536 30748\n85451 100000\n92407 100000\n93468 100000\n78297 100000\n48193 72393\n29940 44869\n66328 99472\n10601 15796\n39182 58845\n16500 24651\n52622 78997\n78556 100000\n49125 73786\n87338 100000\n99892 100000\n6837 10177\n48694 73135\n64959 97448\n46270 69479\n26483 39654\n79217 100000\n67789 100000\n49377 74165\n10608 15807\n24592 36804\n9890 14746\n36331 54535\n89538 100000\n6089 9059\n6311 9392\n7904 11780\n63465 95203\n61762 92674\n16709 24961\n45613 68486\n98 133\n95076 100000\n69998 100000\n67357 100000\n74421 100000\n60303 90502\n77821 100000\n80956 100000\n98121 100000\n76260 100000\n43432 65249\n99612 100000\n60348 90567\n72236 100000\n82624 100000\n25350 37949\n99551 100000\n49557 74430\n23955 35850\n80741 100000\n7490 11176\n41303 62035\n86767 100000\n10650 15869\n6473 9643\n4380 6541\n70325 100000\n3110 4624\n68124 100000\n63935 95917\n1293 1925\n91577 100000\n13186 19709\n40944 61485\n28479 42682\n85024 100000\n24560 36754\n28721 43040\n6744 10037\n47644 71575\n72033 100000\n62224 93377\n58506 87831\n85575 100000\n2341 3481\n49257 73983\n10816 16137\n52571 78916\n15099 22541\n42056 63156\n39759 59708\n21158 31678\n67574 100000\n73895 100000\n7032 10474\n42728 64175\n85550 100000\n29528 44244\n22176 33208\n29070 43572\n71047 100000\n46303 69531\n73799 100000\n24524 36702\n46401 69673\n13020 19457\n39776 59736\n88166 100000\n18286 27336\n39220 58895\n24254 36296\n58410 87689\n69589 100000\n68584 100000\n71708 100000\n37786 56702\n984 1455\n89948 100000\n42293 63527\n55311 83028\n83682 100000\n45912 68934\n17428 26048\n33112 49677\n41466 62275\n3306 4911\n54556 81895\n94706 100000\n16864 25193\n45216 67893\n77555 100000\n45968 69019\n45190 67856\n58228 87413\n37365 56072\n39454 59257\n1048 1553\n60806 91260\n13916 20790\n50322 75577\n18766 28052\n16126 24089\n59676 89575\n47725 71697\n15547 23223\n52651 79037\n31397 47084\n33391 50104\n66386 99557\n83713 100000\n31443 47154\n50801 76303\n87850 100000\n32946 49427\n84168 100000\n25740 38535\n39538 59383\n93474 100000\n70396 100000\n38034 57080\n86050 100000\n6016 8959\n70884 100000\n31837 47731\n77890 100000\n70786 100000\n60300 90497\n99843 100000\n30291 45416\n53606 80458\n9575 14263\n99139 100000\n61493 92278\n26179 39188\n83035 100000\n9275 13835\n52177 78342\n90610 100000\n74512 100000\n55049 82625\n40109 60216\n1072 1587\n88685 100000\n88764 100000\n69926 100000\n51867 77887\n63305 94967\n66162 99223\n42178 63343\n70372 100000\n22314 33416\n65537 98306\n84233 100000\n82128 100000\n595 869\n13703 20477\n30799 46189\n65181 97776\n69513 100000\n62235 93395\n10888 16243\n11909 17789\n41492 62316\n64008 96026\n94024 100000\n64623 96956\n4463 6662\n37468 56231\n58768 88229\n87257 100000\n82032 100000\n69239 100000\n54290 81491\n81020 100000\n50848 76370\n55805 83791\n49218 73927\n39561 59417\n71382 100000\n99893 100000\n41213 61900\n39016 58595\n98437 100000\n91527 100000\n81034 100000\n13035 19479\n89158 100000\n69644 100000\n36938 55433\n37045 55597\n88082 100000\n38381 57625\n92904 100000\n19197 28711\n48798 73293\n5745 8562\n13331 19928\n37657 56512\n53284 79975\n71247 100000\n68147 100000\n52162 78319\n34612 51936\n14426 21547\n54417 81680\n8081 12048\n8262 12313\n70735 100000\n27850 41723\n55220 82881\n56274 84485\n2207 3286\n88346 100000\n15187 22676\n90369 100000\n22026 32981\n88030 100000\n12563 18772\n72854 100000\n29758 44598\n2020 2997\n93067 100000\n28834 43215\n81464 100000\n59231 88915\n35644 53492\n56570 84932\n69144 100000\n42341 63607\n64545 96836\n31203 46789\n39734 59672\n26987 40419\n1570 2350\n75602 100000\n49378 74167\n9603 14307\n15666 23409\n23233 34771\n32513 48766\n23160 34653\n14324 21399\n16819 25126\n56881 85409\n32744 49112\n69209 100000\n27957 41886\n89978 100000\n3716 5543\n55617 83505\n5201 7772\n98182 100000\n73932 100000\n17249 25772\n3563 5303\n10698 15947\n79022 100000\n65529 98293\n44 64\n75017 100000\n21735 32543\n70850 100000\n31244 46850\n84733 100000\n6028 8973\n16933 25292\n83164 100000\n54896 82396\n56168 84324\n43945 66000\n91029 100000\n851 1254\n10801 16114\n27153 40669\n62909 94395\n101 136\n12720 19020\n69128 100000\n35286 52955\n3286 4884\n39487 59312\n45184 67848\n89166 100000\n43292 65043\n18351 27431\n80667 100000\n8340 12427\n65183 97779\n5106 7634\n14032 20963\n85249 100000\n49314 74070\n26783 40106\n13914 20788\n95595 100000\n99684 100000\n98681 100000\n60267 90451\n40742 61185\n22485 33669\n20438 30607\n19734 29540\n92089 100000\n14395 21502\n86306 100000\n50561 75949\n50092 75240\n40125 60239\n19088 28541\n30538 45794\n96403 100000\n38907 58431\n50181 75364\n60908 91416\n12592 18820\n2975 4426\n44559 66912\n24769 37076\n78081 100000\n7495 11183\n65037 97568\n63103 94666\n57200 85885\n2602 3879\n70043 100000\n24706 36984\n58608 87989\n55866 83884\n88134 100000\n80790 100000\n22914 34285\n7299 10886\n39584 59451\n29861 44748\n69386 100000\n19581 29299\n57648 86544\n90145 100000\n53812 80772\n91923 100000\n15004 22390\n70897 100000\n23849 35695\n15520 23178\n89040 100000\n2417 3594\n96105 100000\n6153 9157\n53867 80858\n17110 25558\n18512 27671\n18631 27840\n75644 100000\n48573 72947\n46620 70009\n67590 100000\n10934 16316\n67776 100000\n21609 32357\n53653 80526\n36064 54141\n33023 49545\n46273 69484\n38905 58428\n36686 55060\n2083 3097\n61874 92848\n29194 43754\n7284 10865\n58074 87186\n20119 30119\n52291 78505\n5241 7829\n65819 98717\n11976 17885\n32350 48513\n61873 92847\n26011 38940\n92141 100000\n68715 100000\n41910 62947\n48833 73345\n35241 52891\n42337 63602\n54014 81074\n36500 54777\n99659 100000\n46923 70463\n79341 100000\n79017 100000\n58259 87461\n56392 84669\n27189 40720\n83488 100000\n32391 48581\n84325 100000\n5876 8754\n6817 10147\n21675 32456\n21119 31620\n77321 100000\n24262 36309\n85574 100000\n16530 24694\n46523 69861\n27984 41927\n43583 65459\n23397 35021\n16102 24054\n80253 100000\n36771 55187\n7175 10695\n31418 47118\n46153 69296\n51169 76847\n90995 100000\n92091 100000\n29739 44571\n84584 100000\n76978 100000\n9352 13950\n46175 69329\n53222 79882\n27453 41123\n99950 100000\n32442 48659\n52701 79116\n29852 44735\n92676 100000\n54773 82215\n7143 10649\n10295 15347\n75484 100000\n66224 99317\n49047 73671\n1144 1699\n59487 89299\n69612 100000\n27287 40869\n42704 64139\n56745 85192\n91184 100000\n9336 13926\n19920 29814\n5188 7754\n65457 98182\n1242 1851\n86407 100000\n50242 75448\n47203 70895\n26199 39221\n92330 100000\n22535 33738\n83461 100000\n74514 100000\n70211 100000\n53235 79904\n35572 53383\n25449 38102\n27805 41657\n11896 17770\n29331 43959\n9368 13972\n15069 22494\n96838 100000\n40841 61332\n66097 99128\n38800 58266\n33640 50485\n51442 77263\n45176 67835\n87721 100000\n20836 31201\n59985 90038\n1756 2616\n63148 94738\n13833 20670\n32596 48890\n27241 40799\n10281 15325\n36057 54129\n38111 57198\n79063 100000\n46822 70315\n7056 10512\n78176 100000\n34437 51665\n13095 19574\n55608 83491\n76535 100000\n69159 100000\n73796 100000\n77610 100000\n46771 70237\n93456 100000\n84369 100000\n52999 79558\n85846 100000\n51441 77262\n10943 16329\n82133 100000\n16259 24284\n81697 100000\n34389 51591\n67970 100000\n76530 100000\n42359 63637\n56522 84861\n25415 38051\n35312 52995\n61955 92967\n77656 100000\n8502 12668\n16399 24499\n34466 51710\n41089 61712\n86659 100000\n45614 68488\n32835 49253\n64104 96167\n75496 100000\n88932 100000\n15403 23001\n48139 72309\n59651 89541\n1612 2410\n84705 100000\n28014 41967\n19929 29826\n34515 51787\n8651 12891\n74051 100000\n18375 27464\n1700 2536\n9346 13940\n99995 100000\n51267 76996\n35084 52649\n41245 61947\n15587 23288\n5639 8406\n75631 100000\n68552 100000\n99509 100000\n453 662\n5755 8574\n31426 47130\n53973 81017\n61810 92747\n11942 17836\n32864 49306\n3158 4700\n12301 18377\n80643 100000\n52638 79020\n40379 60627\n95228 100000\n98905 100000\n60136 90262\n38399 57650\n28763 43102\n74390 100000\n45717 68646\n76290 100000\n43090 64724\n18837 28160\n82209 100000\n61950 92960\n36745 55145\n28230 42298\n81812 100000\n75510 100000\n7862 11715\n55056 82635\n86075 100000\n39783 59746\n81484 100000\n65199 97801\n12871 19235\n28859 43252\n56687 85112\n40999 61570\n14703 21953\n20649 30921\n70765 100000\n43656 65570\n26161 39161\n76015 100000\n29693 44504\n80573 100000\n96825 100000\n84988 100000\n93343 100000\n59521 89350\n82083 100000\n9913 14783\n78226 100000\n51422 77231\n54188 81340\n54912 82421\n17769 26540\n59296 89011\n62535 93837\n22987 34396\n79971 100000\n32313 48457\n90716 100000\n23577 35283\n40468 60765\n64695 97059\n49673 74611\n12123 18113\n45105 67726\n15317 22872\n6419 9554\n17132 25594\n64988 97495\n20894 31291\n52449 78734\n60891 91391\n73213 100000\n51517 77370\n61163 91790\n76791 100000\n9498 14158\n36513 54798\n58731 88181\n31006 46496\n42967 64544\n10562 15737\n66336 99485\n38811 58284\n33344 50034\n75753 100000\n51368 77148\n97787 100000\n68408 100000\n83895 100000\n47487 71331\n91005 100000\n96417 100000\n30636 45946\n6803 10127\n68935 100000\n22913 34284\n64021 96045\n66483 99704\n90829 100000\n55845 83855\n75725 100000\n28617 42889\n58083 87198\n23422 35059\n84400 100000\n7184 10709\n7648 11412\n87812 100000\n53187 79823\n31503 47240\n25419 38057\n12561 18769\n90898 100000\n80029 100000\n44744 67192\n24053 35995\n35826 53775\n46021 69097\n85245 100000\n14964 22331\n3873 5779\n64667 97018\n85462 100000\n37865 56820\n65851 98764\n76687 100000\n41401 62185\n25906 38774\n4212 6287\n88925 100000\n31122 46666\n24630 36862\n30043 45028\n91771 100000\n807 1191\n23635 35370\n55206 82860\n5729 8540\n17754 26520\n43645 65553\n25273 37836\n27391 41024\n17136 25602\n50854 76379\n66610 99894\n35697 53573\n38574 57916\n10657 15880\n13080 19551\n21102 31593\n17613 26327\n42339 63604\n34034 51064\n49142 73810\n79252 100000\n24075 36024\n89856 100000\n96902 100000\n88824 100000\n28092 42082\n38249 57419\n84600 100000\n17924 26782\n70659 100000\n9402 14025\n50455 75779\n82254 100000\n47663 71604\n62204 93345\n80457 100000\n8856 13198\n44236 66429\n14208 21231\n61767 92681\n54001 81057\n71158 100000\n93113 100000\n41413 62202\n63237 94868\n74489 100000\n6945 10344\n76121 100000\n52774 79219\n71692 100000\n80436 100000\n80323 100000\n20642 30911\n63058 94605\n58590 87961\n96424 100000\n58943 88493\n91363 100000\n4459 6657\n42013 63096\n94101 100000\n51050 76665\n37415 56152\n16847 25168\n50343 75608\n91942 100000\n2856 4255\n70243 100000\n73516 100000\n3377 5018\n48726 73184\n16654 24877\n30672 46005\n65734 98590\n43198 64898\n53188 79825\n2250 3351\n92987 100000\n88041 100000\n23885 35743\n89366 100000\n58324 87558\n90055 100000\n63719 95583\n22719 34008\n25963 38857\n88157 100000\n80781 100000\n69498 100000\n38927 58461\n40691 61111\n17314 25867\n68504 100000\n93094 100000\n32044 48053\n60417 90671\n9230 13765\n62493 93774\n20369 30504\n79391 100000\n5670 8452\n27044 40504\n35381 53094\n16762 25044\n30210 45288\n15186 22675\n46940 70487\n46713 70153\n52198 78372\n11700 17468\n93021 100000\n34497 51759\n24414 36531\n90258 100000\n44992 67555\n93788 100000\n35155 52763\n32388 48576\n36666 55029\n12233 18279\n41521 62366\n6012 8954\n32050 48061\n48453 72765\n73887 100000\n68662 100000\n40825 61308\n31243 46848\n4208 6283\n63679 95528\n4288 6400\n48316 72568\n43453 65281\n79833 100000\n80101 100000\n55520 83347\n14956 22322\n58938 88484\n43806 65788\n12844 19196\n59649 89537\n63738 95615\n45221 67901\n37922 56907\n50532 75906\n65729 98582\n49336 74102\n38600 57957\n15227 22736\n99985 100000\n38902 58425\n57478 86289\n79998 100000\n56604 84982\n60061 90148\n25227 37766\n6955 10358\n2307 3434\n30770 46144\n91606 100000\n73879 100000\n54304 81512\n31320 46966\n43696 65628\n77651 100000\n85133 100000\n8316 12391\n77096 100000\n15010 22399\n38953 58497\n86921 100000\n40096 60200\n26662 39924\n28118 42121\n14698 21946\n43785 65755\n54856 82336\n20073 30050\n30089 45095\n68288 100000\n60341 90556\n99382 100000\n87165 100000\n53276 79965\n59846 89826\n55124 82738\n71848 100000\n33830 50762\n53185 79819\n99377 100000\n42684 64109\n86200 100000\n48829 73341\n49738 74713\n28770 43112\n28391 42538\n92801 100000\n25195 37721\n13963 20860\n70044 100000\n43913 65952\n86562 100000\n45740 68678\n69137 100000\n70685 100000\n92758 100000\n70589 100000\n15427 23034\n20795 31145\n43750 65704\n45908 68929\n68484 100000\n90798 100000\n17174 25664\n59476 89283\n65303 97958\n20724 31034\n22419 33576\n72552 100000\n94574 100000\n52425 78699\n74401 100000\n89055 100000\n90644 100000\n72769 100000\n32952 49437\n55233 82904\n33904 50871\n80838 100000\n59361 89108\n49578 74466\n52422 78694\n78136 100000\n65559 98337\n25947 38833\n59739 89668\n72910 100000\n84159 100000\n20828 31190\n96117 100000\n73235 100000\n35308 52987\n98105 100000\n62921 94413\n1174 1745\n8449 12590\n6886 10255\n68340 100000\n47398 71191\n43700 65633\n779 1151\n2216 3297\n28133 42142\n8566 12764\n76310 100000\n59205 88879\n94221 100000\n26389 39509\n22342 33454\n58396 87667\n13461 20118\n90960 100000\n45879 68884\n38241 57406\n72323 100000\n26731 40027\n7468 11143\n89378 100000\n9127 13607\n76137 100000\n85665 100000\n75889 100000\n26514 39697\n72218 100000\n87996 100000\n85856 100000\n53670 80552\n71162 100000\n19729 29533\n68242 100000\n44868 67371\n28832 43213\n45627 68508\n66280 99403\n94223 100000\n94687 100000\n82308 100000\n74525 100000\n20928 31342\n86245 100000\n94159 100000\n72818 100000\n24313 36388\n84759 100000\n91919 100000\n55301 83012\n62597 93931\n51604 77498\n92937 100000\n77680 100000\n83608 100000\n81128 100000\n50066 75198\n65222 97834\n24056 35999\n26408 39542\n18564 27745\n5352 7993\n97608 100000\n24849 37196\n87227 100000\n41381 62154\n51335 77101\n8094 12068\n71739 100000\n25077 37543\n22967 34365\n66998 100000\n68516 100000\n20407 30566\n81372 100000\n75145 100000\n27954 41881\n56302 84529\n22215 33266\n60059 90146\n77062 100000\n64696 97060\n99928 100000\n36090 54180\n97238 100000\n63366 95057\n46718 70160\n22792 34109\n30970 46444\n18380 27472\n94175 100000\n42775 64248\n24420 36542\n92176 100000\n29526 44241\n33647 50493\n13811 20633\n7418 11070\n82440 100000\n49692 74643\n58805 88285\n77189 100000\n15179 22664\n31120 46664\n78112 100000\n33357 50055\n31851 47752\n87458 100000\n50648 76079\n79342 100000\n45937 68973\n12296 18369\n56331 84575\n77882 100000\n73339 100000\n28144 42158\n74781 100000\n83614 100000\n57784 86740\n46734 70182\n7112 10600\n480 709\n6001 8937\n89747 100000\n33970 50964\n11347 16939\n36174 54306\n5194 7762\n90965 100000\n3332 4951\n13089 19566\n12427 18567\n56744 85191\n20638 30906\n55982 84051\n22516 33711\n36861 55324\n38508 57815\n5562 8290\n85409 100000\n81486 100000\n90011 100000\n82931 100000\n59448 89239\n15112 22560\n90018 100000\n44134 66280\n35772 53689\n88681 100000\n73265 100000\n37222 55861\n39588 59458\n86963 100000\n20534 30746\n36180 54315\n36995 55522\n25698 38475\n88465 100000\n41896 62925\n73155 100000\n42743 64197\n11494 17161\n52760 79202\n94836 100000\n1052 1558\n21559 32280\n30591 45873\n99689 100000\n71910 100000\n22431 33594\n43701 65634\n34876 52334\n14325 21401\n4099 6115\n2359 3507\n73067 100000\n37854 56803\n12520 18709\n55664 83577\n42732 64180\n83092 100000\n40370 60612\n10936 16319\n95379 100000\n50507 75863\n27249 40813\n13455 20111\n61991 93018\n17423 26041\n85355 100000\n53693 80588\n86625 100000\n6150 9152\n17991 26879\n74787 100000\n65987 98963\n76703 100000\n92540 100000\n28420 42585\n64744 97129\n8785 13087\n14064 21013\n9312 13893\n52837 79313\n632 927\n89490 100000\n8908 13280\n24781 37091\n33029 49556\n36560 54865\n22746 34049\n82695 100000\n555 815\n89512 100000\n42309 63554\n35822 53768\n82845 100000\n83346 100000\n3921 5847\n65376 98065\n40192 60342\n50944 76508\n23158 34651\n71105 100000\n98382 100000\n84197 100000\n8539 12724\n86563 100000\n53049 79624\n66426 99614\n53880 80876\n44808 67285\n14587 21781\n98169 100000\n84364 100000\n20672 30953\n70101 100000\n55169 82805\n8596 12810\n69567 100000\n5471 8159\n88599 100000\n85168 100000\n58330 87568\n85229 100000\n65781 98659\n36418 54659\n92809 100000\n68040 100000\n15825 23650\n21900 32791\n93205 100000\n95631 100000\n83754 100000\n65601 98397\n81007 100000\n83324 100000\n25496 38168\n91914 100000\n57573 86435\n62811 94250\n83388 100000\n35231 52876\n64645 96988\n55466 83267\n54243 81417\n12308 18388\n38345 57568\n50692 76139\n5285 7899\n56945 85500\n19457 29110\n82881 100000\n88057 100000\n51457 77284\n14635 21856\n69458 100000\n51624 77528\n92034 100000\n88740 100000\n73604 100000\n99971 100000\n53030 79600\n69190 100000\n84231 100000\n8917 13291\n12326 18416\n16723 24983\n49485 74326\n75638 100000\n26340 39439\n30350 45510\n21020 31476\n16919 25273\n42522 63871\n7991 11914\n85931 100000\n57319 86061\n16738 25002\n47820 71836\n57171 85841\n50922 76473\n92655 100000\n79508 100000\n67178 100000\n62388 93621\n84622 100000\n82368 100000\n69534 100000\n45271 67977\n45161 67806\n52506 78817\n8761 13055\n74949 100000\n31833 47726\n82653 100000\n35158 52768\n69116 100000\n11675 17425\n27125 40629\n24680 36946\n75371 100000\n49177 73862\n33692 50558\n39585 59453\n84564 100000\n41855 62863\n40618 60998\n87015 100000\n52090 78209\n78186 100000\n67026 100000\n9639 14357\n12604 18839\n59020 88602\n26139 39128\n67368 100000\n61903 92892\n82902 100000\n34626 51957\n97413 100000\n25752 38550\n53288 79982\n82010 100000\n19887 29767\n48469 72790\n75497 100000\n10564 15740\n9671 14407\n38635 58011\n64096 96155\n33015 49532\n35396 53117\n35685 53553\n39557 59409\n79392 100000\n10354 15434\n7646 11409\n52725 79151\n35627 53466\n88092 100000\n31400 47090\n6511 9697\n81316 100000\n68446 100000\n18808 28121\n81635 100000\n11636 17370\n42377 63661\n89256 100000\n75551 100000\n41936 62985\n9966 14864\n74856 100000\n18625 27833\n45115 67743\n28338 42459\n46802 70284\n19589 29313\n61514 92311\n63304 94966\n70920 100000\n72418 100000\n30068 45065\n4966 7419\n42983 64569\n36027 54081\n66972 100000\n59009 88588\n12881 19249\n53289 79984\n8131 12121\n13679 20440\n81246 100000\n18690 27933\n48804 73303\n62694 94082\n40961 61511\n26206 39231\n59492 89306\n20082 30063\n42417 63725\n50456 75780\n89026 100000\n44639 67031\n67742 100000\n71687 100000\n20107 30101\n18834 28156\n6203 9229\n13660 20413\n32784 49174\n69474 100000\n58011 87087\n48336 72598\n20902 31303\n88338 100000\n54686 82086\n39429 59220\n13526 20212\n64143 96222\n98943 100000\n36036 54093\n86495 100000\n79272 100000\n87574 100000\n13075 19541\n64391 96592\n69557 100000\n13134 19631\n48408 72699\n99277 100000\n4186 6251\n44080 66202\n63176 94777\n802 1185\n45206 67879\n87754 100000\n74062 100000\n53814 80775\n57560 86416\n50831 76348\n29883 44784\n6131 9121\n24949 37353\n88627 100000\n3942 5881\n98375 100000\n32651 48972\n94647 100000\n57887 86902\n75139 100000\n57780 86733\n71492 100000\n46155 69299\n52478 78774\n26425 39563\n30532 45785\n6812 10142\n14333 21412\n36778 55198\n83075 100000\n21564 32288\n32738 49103\n592 865\n38612 57974\n93717 100000\n24847 37194\n82325 100000\n29633 44407\n80118 100000\n36567 54874\n82319 100000\n94020 100000\n55391 83152\n63356 95045\n65200 97802\n189 272\n824 1215\n55628 83521\n37535 56333\n67587 100000\n58742 88195\n65879 98807\n44532 66875\n38013 57050\n36304 54493\n60419 90675\n16116 24074\n16835 25150\n29798 44658\n56079 84200\n58658 88068\n68632 100000\n13940 20826\n23598 35312\n38737 58164\n42161 63318\n33817 50742\n58490 87807\n47063 70677\n71690 100000\n52335 78571\n97956 100000\n65491 98238\n22960 34355\n14152 21145\n45460 68254\n17807 26600\n40810 61283\n5821 8673\n42095 63216\n39179 58841\n18967 28362\n26095 39062\n11543 17236\n36188 54327\n51346 77117\n36234 54394\n47976 72067\n92264 100000\n77752 100000\n52185 78355\n46276 69487\n37931 56922\n61931 92932\n11547 17240\n12227 18270\n74083 100000\n26386 39504\n39790 59758\n19268 28822\n99823 100000\n61162 91788\n90268 100000\n17517 26183\n84348 100000\n59182 88843\n52463 78754\n32355 48519\n70926 100000\n55922 83966\n22581 33803\n39322 59052\n77933 100000\n52632 79013\n30776 46155\n54926 82442\n91702 100000\n9756 14543\n3755 5601\n39975 60025\n85485 100000\n4673 6976\n74748 100000\n61052 91626\n76616 100000\n90439 100000\n22568 33785\n19258 28806\n45370 68120\n95878 100000\n58478 87786\n80004 100000\n51807 77800\n84950 100000\n58642 88043\n31653 47473\n65059 97602\n99679 100000\n36798 55229\n52526 78848\n90618 100000\n11740 17528\n99394 100000\n93197 100000\n25158 37663\n70314 100000\n76229 100000\n61620 92461\n86171 100000\n30666 45994\n30597 45885\n87364 100000\n19659 29424\n37324 56005\n22023 32978\n94469 100000\n19238 28775\n25764 38569\n22610 33848\n37430 56174\n28865 43262\n40498 60814\n15048 22463\n52847 79328\n39263 58957\n4889 7304\n42857 64370\n59714 89630\n38146 57253\n42542 63896\n78059 100000\n13177 19697\n70942 100000\n66304 99438\n90089 100000\n85289 100000\n77964 100000\n26436 39580\n17930 26791\n89798 100000\n11538 17229\n75020 100000\n82089 100000\n31863 47770\n93196 100000\n22313 33414\n11014 16440\n43570 65440\n99475 100000\n84470 100000\n31969 47936\n5775 8604\n20502 30699\n65969 98936\n3346 4971\n10697 15945\n9243 13785\n70946 100000\n17831 26636\n24264 36311\n96378 100000\n89150 100000\n57526 86364\n29965 44904\n86879 100000\n36095 54187\n73538 100000\n19236 28772\n35276 52941\n91350 100000\n13582 20296\n97107 100000\n21503 32197\n76789 100000\n72713 100000\n94604 100000\n31898 47827\n4629 6912\n63225 94848\n62987 94504\n38301 57500\n88886 100000\n71317 100000\n96608 100000\n96057 100000\n28616 42888\n67768 100000\n11299 16862\n96050 100000\n67682 100000\n31910 47843\n98109 100000\n29778 44628\n76642 100000\n41004 61578\n55483 83291\n34227 51351\n18357 27440\n45465 68261\n36105 54202\n99344 100000\n65935 98888\n21094 31581\n84072 100000\n6433 9577\n67392 100000\n88229 100000\n70368 100000\n56440 84741\n49359 74139\n43638 65542\n50612 76028\n51393 77191\n59030 88618\n40132 60252\n55567 83425\n67272 100000\n14392 21497\n47323 71075\n80050 100000\n49720 74684\n93712 100000\n70657 100000\n45900 68916\n11921 17805\n86261 100000\n11767 17570\n1943 2886\n32134 48187\n87991 100000\n91608 100000\n57014 85605\n73757 100000\n42071 63179\n54714 82127\n2647 3945\n30175 45230\n19313 28893\n38045 57095\n74659 100000\n30059 45050\n27473 41153\n3162 4705\n1137 1687\n42182 63349\n60141 90268\n55709 83645\n88236 100000\n31363 47030\n27534 41251\n57078 85696\n97797 100000\n73795 100000\n95288 100000\n68235 100000\n80376 100000\n91197 100000\n74245 100000\n97991 100000\n13762 20562\n25317 37899\n19012 28427\n48695 73137\n63709 95570\n35108 52690\n26523 39712\n40233 60405\n29889 44793\n11004 16424\n89008 100000\n93721 100000\n70212 100000\n584 854\n95763 100000\n28932 43363\n56463 84775\n60170 90314\n12677 18946\n55568 83427\n73707 100000\n86386 100000\n98291 100000\n8967 13367\n88770 100000\n43756 65715\n55535 83375\n79795 100000\n99876 100000\n29123 43646\n61525 92327\n29964 44903\n18534 27702\n23815 35646\n76605 100000\n24725 37012\n67056 100000\n39769 59724\n88327 100000\n33017 49534\n31339 46994\n77613 100000\n92455 100000\n35876 53852\n76040 100000\n51215 76917\n3126 4649\n91204 100000\n77694 100000\n14180 21190\n99119 100000\n45321 68050\n65927 98876\n97399 100000\n25126 37615\n22910 34280\n17620 26336\n91416 100000\n70876 100000\n27206 40744\n77559 100000\n49616 74524\n2378 3535\n67875 100000\n81742 100000\n88499 100000\n50840 76359\n52641 79024\n70923 100000\n90013 100000\n68990 100000\n89093 100000\n13419 20059\n9550 14228\n87738 100000\n83803 100000\n34640 51981\n18352 27433\n24465 36613\n12001 17926\n63231 94858\n70337 100000\n33091 49646\n1682 2506\n5726 8535\n11724 17503\n1143 1697\n47018 70608\n34402 51610\n96580 100000\n49271 74003\n56789 85262\n23483 35149\n35254 52913\n1121 1662\n80866 100000\n92524 100000\n36975 55488\n89021 100000\n33069 49614\n1809 2693\n15664 23407\n49956 75026\n11970 17877\n11356 16953\n42236 63440\n71337 100000\n78809 100000\n38506 57811\n65411 98119\n16538 24707\n9963 14860\n39565 59422\n86054 100000\n73584 100000\n39983 60038\n71965 100000\n44020 66115\n32148 48210\n97805 100000\n92943 100000\n39729 59665\n54753 82187\n57712 86636\n95875 100000\n98917 100000\n86096 100000\n90381 100000\n67299 100000\n23081 34532\n23968 35872\n22889 34251\n93258 100000\n92654 100000\n42546 63903\n63113 94680\n1535 2294\n19512 29196\n61238 91892\n18168 27158\n17402 26005\n29125 43648\n74377 100000\n44385 66658\n55659 83568\n44239 66434\n16603 24802\n33882 50840\n29581 44326\n8938 13323\n95220 100000\n91105 100000\n6552 9757\n16533 24699\n33654 50503\n58738 88190\n15677 23424\n18185 27183\n75834 100000\n23468 35129\n49240 73959\n37464 56226\n65421 98133\n90823 100000\n63745 95626\n83581 100000\n93392 100000\n25385 38004\n96018 100000\n37196 55821\n99215 100000\n63641 95468\n59927 89950\n47349 71121\n30794 46181\n11318 16892\n60985 91523\n34049 51089\n65957 98919\n95664 100000\n26196 39216\n72210 100000\n98295 100000\n67943 100000\n19663 29430\n28896 43307\n1539 2299\n1202 1791\n12187 18211\n80193 100000\n52037 78132\n95614 100000\n3160 4703\n13267 19833\n31613 47410\n69485 100000\n47587 71484\n74030 100000\n62038 93094\n36272 54449\n45784 68747\n96237 100000\n25021 37464\n59556 89398\n38509 57817\n81122 100000\n67280 100000\n7324 10925\n80795 100000\n24867 37226\n63558 95344\n14648 21878\n52830 79303\n29536 44258\n61711 92599\n80565 100000\n89690 100000\n34915 52390\n10958 16355\n29708 44523\n64078 96127\n96503 100000\n44636 67027\n10764 16057\n28071 42053\n33224 49850\n94031 100000\n28470 42667\n31683 47516\n2224 3310\n27869 41754\n82808 100000\n41038 61635\n27364 40984\n53281 79971\n30505 45745\n41684 62607\n71570 100000\n34672 52030\n54011 81071\n44722 67158\n82215 100000\n81342 100000\n75457 100000\n11193 16701\n68253 100000\n55099 82700\n37232 55877\n70676 100000\n90703 100000\n73485 100000\n38140 57244\n3547 5280\n42504 63846\n56207 84379\n87310 100000\n32361 48529\n88413 100000\n17141 25611\n95920 100000\n42200 63378\n58181 87341\n83234 100000\n22161 33186\n10171 15164\n58549 87900\n33255 49890\n33278 49924\n89722 100000\n31164 46728\n78503 100000\n82720 100000\n12923 19310\n76654 100000\n62040 93097\n2707 4033\n94284 100000\n4478 6684\n90135 100000\n16495 24643\n25489 38158\n41336 62086\n26500 39679\n23112 34582\n48750 73221\n19882 29760\n51286 77026\n45438 68224\n94337 100000\n59472 89276\n66910 100000\n41239 61937\n56226 84410\n52460 78750\n26397 39524\n71086 100000\n14067 21018\n24189 36198\n92152 100000\n32235 48338\n30678 46012\n44842 67334\n24073 36022\n86589 100000\n83411 100000\n38747 58180\n91127 100000\n87995 100000\n19382 28997\n22608 33845\n65419 98130\n80902 100000\n52714 79135\n79817 100000\n21038 31500\n35970 53992\n51154 76828\n87208 100000\n81173 100000\n64586 96897\n11224 16747\n46198 69365\n17879 26709\n21150 31667\n5851 8717\n41984 63057\n88742 100000\n2781 4144\n77099 100000\n42240 63448\n96661 100000\n71110 100000\n26005 38930\n87637 100000\n95740 100000\n52950 79485\n41812 62799\n51501 77347\n96093 100000\n13027 19469\n97426 100000\n16541 24711\n75671 100000\n80338 100000\n38913 58439\n55862 83879\n62601 93938\n67048 100000\n60573 90907\n19654 29417\n63140 94728\n90815 100000\n57688 86602\n75787 100000\n17956 26831\n82338 100000\n38138 57241\n67496 100000\n23087 34541\n91892 100000\n46633 70027\n48062 72191\n15568 23255\n69323 100000\n4307 6431\n46512 69843\n93363 100000\n24848 37195\n61962 92977\n11835 17680\n12391 18518\n5931 8832\n59474 89280\n77763 100000\n37101 55677\n18517 27676\n74284 100000\n9994 14903\n86507 100000\n24544 36731\n47811 71822\n3050 4537\n56974 85541\n59355 89101\n14983 22360\n75233 100000\n26344 39444\n89906 100000\n16253 24275\n64066 96108\n80306 100000\n63894 95855\n42170 63330\n80495 100000\n29262 43853\n17048 25464\n47002 70585\n2352 3496\n5595 8336\n81078 100000\n63896 95858\n74580 100000\n27863 41745\n62230 93387\n930 1373\n25412 38046\n42268 63489\n68050 100000\n92731 100000\n9783 14586\n64840 97271\n21713 32513\n39742 59684\n29069 43570\n85515 100000\n78839 100000\n46808 70293\n64633 96971\n32403 48596\n24816 37145\n96357 100000\n25110 37592\n64729 97110\n39716 59646\n9873 14717\n20489 30679\n93910 100000\n45571 68418\n60453 90726\n14541 21719\n52535 78861\n4668 6969\n61557 92371\n85696 100000\n18884 28233\n15278 22815\n34114 51180\n43590 65469\n22293 33385\n59204 88877\n70496 100000\n54028 81098\n42327 63586\n52776 79221\n93501 100000\n90556 100000\n6200 9225\n2637 3929\n73482 100000\n92907 100000\n40460 60750\n84693 100000\n90292 100000\n7822 11661\n75037 100000\n22151 33172\n63519 95286\n36931 55423\n76772 100000\n98904 100000\n23288 34848\n78427 100000\n50992 76579\n94144 100000\n69857 100000\n29796 44655\n56021 84109\n23433 35076\n35552 53353\n20835 31200\n39839 59829\n8945 13334\n97501 100000\n31865 47773\n24743 37038\n8060 12017\n99146 100000\n50087 75231\n61857 92819\n66358 99516\n11454 17101\n83440 100000\n86371 100000\n92009 100000\n22414 33570\n67206 100000\n84637 100000\n51179 76863\n21925 32828\n18924 28294\n78439 100000\n61212 91856\n66126 99166\n37002 55532\n95461 100000\n51554 77423\n79251 100000\n14629 21846\n64161 96250\n30937 46396\n20408 30567\n92786 100000\n79469 100000\n42201 63380\n34542 51828\n95654 100000\n15772 23567\n99711 100000\n63969 95966\n7834 11679\n48449 72761\n91614 100000\n32765 49144\n29462 44148\n89137 100000\n75773 100000\n27575 41315\n79103 100000\n85294 100000\n89762 100000\n90967 100000\n67167 100000\n70344 100000\n90072 100000\n52719 79142\n70187 100000\n71118 100000\n67994 100000\n64149 96231\n85715 100000\n55413 83187\n28277 42365\n41157 61813\n48363 72634\n71733 100000\n47787 71791\n59337 89074\n99336 100000\n45183 67846\n6196 9221\n21769 32594\n53816 80779\n1608 2405\n1197 1782\n94094 100000\n62432 93681\n64679 97037\n27959 41888\n67189 100000\n29367 44011\n76178 100000\n21953 32870\n95488 100000\n28183 42222\n60534 90846\n48153 72328\n65629 98432\n73944 100000\n64908 97372\n77697 100000\n3255 4840\n9611 14318\n41001 61573\n96565 100000\n77442 100000\n30425 45623\n83542 100000\n41340 62092\n58710 88149\n83354 100000\n70647 100000\n67486 100000\n3738 5577\n73024 100000\n14665 21901\n43352 65133\n47654 71589\n31435 47143\n1108 1641\n3138 4668\n14750 22022\n91382 100000\n82868 100000\n88276 100000\n33206 49825\n16261 24287\n60311 90512\n3076 4575\n45810 68785\n33087 49640\n47431 71241\n19794 29631\n90241 100000\n19034 28457\n44443 66749\n22137 33148\n37007 55541\n64321 96486\n32727 49085\n40454 60741\n9682 14424\n84893 100000\n98414 100000\n98131 100000\n56767 85229\n55761 83722\n18960 28350\n47167 70837\n87957 100000\n88797 100000\n8776 13073\n62064 93130\n78772 100000\n34554 51846\n3363 4998\n82175 100000\n38515 57826\n32292 48422\n39279 58985\n11975 17883\n31049 46555\n37782 56695\n18882 28230\n66939 100000\n1414 2107\n97427 100000\n56419 84709\n85420 100000\n84447 100000\n34098 51153\n77588 100000\n55389 83150\n11699 17466\n80014 100000\n15070 22496\n92981 100000\n8341 12428\n48135 72304\n76902 100000\n32184 48264\n84461 100000\n73598 100000\n27140 40648\n60934 91451\n44430 66730\n12355 18460\n83415 100000\n83710 100000\n40871 61377\n65868 98791\n92759 100000\n93368 100000\n55244 82919\n9327 13914\n42586 63969\n31687 47521\n9585 14275\n91233 100000\n15855 23692\n46902 70433\n39519 59354\n25874 38728\n94618 100000\n14507 21660\n42754 64216\n27616 41375\n9702 14457\n25598 38325\n84213 100000\n95783 100000\n64872 97319\n4407 6582\n85025 100000\n26462 39621\n3427 5093\n87609 100000\n35605 53432\n28499 42715\n45394 68156\n55411 83184\n61858 92821\n1653 2469\n48929 73492\n3178 4727\n83372 100000\n98534 100000\n93430 100000\n15277 22813\n30905 46347\n10201 15206\n63482 95230\n4970 7425\n75403 100000\n55342 83078\n60022 90091\n79482 100000\n27393 41027\n15963 23848\n78637 100000\n93723 100000\n8711 12987\n53390 80136\n59483 89293\n10771 16067\n21620 32373\n61544 92353\n84347 100000\n10776 16075\n58605 87983\n79858 100000\n36482 54751\n94053 100000\n84708 100000\n46162 69309\n35726 53621\n21453 32121\n13627 20364\n22007 32951\n8885 13242\n28935 43368\n89379 100000\n40208 60367\n40908 61431\n76274 100000\n74893 100000\n22207 33257\n56083 84206\n6834 10172\n87519 100000\n60083 90182\n59394 89159\n39554 59404\n50759 76243\n28716 43034\n66002 98990\n8434 12567\n99218 100000\n7341 10956\n76745 100000\n81650 100000\n36704 55086\n61054 91629\n37906 56879\n60480 90765\n75829 100000\n69015 100000\n8114 12096\n25957 38849\n92495 100000\n37838 56780\n25929 38810\n67535 100000\n50405 75701\n30313 45451\n2797 4165\n4520 6753\n19829 29682\n38672 58069\n20202 30239\n50084 75226\n26541 39742\n27368 40991\n60465 90745\n44011 66102\n69903 100000\n96110 100000\n10844 16180\n42052 63149\n28621 42896\n80110 100000\n88129 100000\n32228 48327\n7782 11602\n78500 100000\n61677 92549\n78562 100000\n37111 55693\n42979 64562\n24371 36473\n97602 100000\n84010 100000\n23715 35492\n35458 53212\n290 422\n70840 100000\n12280 18343\n84324 100000\n89609 100000\n40890 61408\n21963 32885\n315 460\n86941 100000\n53253 79932\n67896 100000\n66520 99759\n94073 100000\n18908 28272\n1359 2025\n77165 100000\n84124 100000\n80043 100000\n34116 51183\n12898 19275\n84356 100000\n63112 94678\n93513 100000\n33567 50367\n98858 100000\n8977 13383\n74710 100000\n5839 8698\n92214 100000\n73461 100000\n73276 100000\n71049 100000\n50644 76073\n28584 42837\n98812 100000\n46090 69201\n2952 4392\n26606 39838\n33374 50083\n1990 2953\n2300 3422\n23939 35823\n72352 100000\n78006 100000\n99728 100000\n76049 100000\n63291 94944\n76134 100000\n17072 25502\n83285 100000\n96437 100000\n66019 99019\n37624 56467\n58757 88214\n50107 75261\n74184 100000\n75857 100000\n21019 31474\n16421 24531\n71282 100000\n30377 45545\n36951 55451\n54362 81596\n11131 16612\n31179 46751\n62105 93193\n3224 4796\n13196 19724\n7170 10687\n99087 100000\n12887 19259\n9911 14780\n89902 100000\n94768 100000\n6594 9817\n63542 95320\n79120 100000\n22565 33780\n74150 100000\n71621 100000\n4541 6788\n6691 9957\n44993 67556\n34725 52116\n19881 29758\n34598 51916\n96948 100000\n70359 100000\n16568 24751\n20302 30403\n61739 92639\n99039 100000\n6562 9772\n90418 100000\n27532 41248\n93677 100000\n33075 49623\n42450 63771\n22679 33950\n33877 50834\n3026 4502\n57910 86938\n48838 73352\n18551 27726\n22841 34180\n23307 34876\n86577 100000\n47048 70655\n9625 14338\n98819 100000\n67428 100000\n31496 47231\n7511 11206\n20312 30419\n64758 97150\n70019 100000\n32614 48916\n61290 91967\n51761 77725\n7314 10909\n32950 49433\n29349 43983\n18729 27996\n3019 4492\n28252 42329\n15146 22613\n4406 6580\n13667 20425\n75923 100000\n80860 100000\n59752 89688\n90642 100000\n64995 97505\n36770 55185\n1541 2303\n20869 31254\n63903 95870\n21246 31813\n9766 14560\n83561 100000\n8074 12037\n53189 79827\n74970 100000\n65112 97677\n20164 30183\n66794 100000\n84374 100000\n84153 100000\n36424 54669\n60576 90913\n92652 100000\n86943 100000\n27366 40987\n17283 25823\n10276 15316\n54288 81487\n96759 100000\n25079 37545\n66955 100000\n40273 60465\n67997 100000\n85303 100000\n74207 100000\n57382 86155\n14283 21339\n52311 78532\n35454 53206\n38915 58442\n50985 76568\n48417 72711\n37991 57011\n40229 60399\n22923 34300\n29410 44072\n89267 100000\n22312 33412\n8277 12335\n38396 57645\n12794 19129\n87868 100000\n53414 80171\n60987 91527\n76919 100000\n71759 100000\n55656 83564\n84643 100000\n26828 40173\n66599 99878\n40186 60333\n17790 26573\n47484 71327\n56513 84846\n21726 32530\n13098 19580\n80416 100000\n66694 100000\n62079 93152\n55184 82824\n43647 65555\n82801 100000\n83922 100000\n35333 53026\n153 214\n1298 1934\n63233 94861\n30547 45807\n91276 100000\n29035 43517\n33378 50087\n58218 87396\n44209 66390\n76243 100000\n36206 54351\n14861 22181\n76888 100000\n73843 100000\n48915 73469\n57399 86178\n2438 3625\n33148 49733\n65903 98841\n95898 100000\n34980 52493\n85646 100000\n32656 48980\n49701 74656\n389 569\n64063 96105\n8030 11971\n22463 33637\n39105 58726\n12206 18237\n82132 100000\n39867 59867\n53748 80669\n27644 41418\n59638 89520\n60733 91145\n75925 100000\n74327 100000\n39100 58721\n46291 69510\n60056 90142\n31346 47006\n98544 100000\n83593 100000\n38645 58025\n46928 70468\n88277 100000\n77104 100000\n45744 68685\n94607 100000\n27864 41747\n59187 88850\n73525 100000\n21232 31789\n97296 100000\n96900 100000\n45543 68369\n89689 100000\n44052 66158\n31258 46870\n34806 52236\n33636 50477\n47364 71144\n33949 50935\n46666 70075\n30216 45298\n87034 100000\n33588 50399\n73909 100000\n43749 65702\n47697 71654\n8492 12654\n15880 23727\n1304 1944\n96015 100000\n79819 100000\n78369 100000\n76762 100000\n53261 79944\n37775 56685\n85728 100000\n74170 100000\n91471 100000\n51002 76594\n39343 59082\n51988 78061\n71685 100000\n73318 100000\n39414 59197\n47825 71843\n40772 61228\n87954 100000\n28405 42559\n52610 78977\n14216 21243\n90501 100000\n24679 36945\n17173 25663\n5096 7619\n42465 63790\n72246 100000\n80756 100000\n45697 68618\n27963 41896\n87224 100000\n24160 36152\n36365 54584\n47146 70807\n68628 100000\n68474 100000\n61244 91900\n50050 75173\n50757 76239\n75407 100000\n62880 94353\n78279 100000\n26147 39139\n51799 77789\n49561 74438\n23690 35451\n61689 92566\n41170 61832\n25242 37789\n92804 100000\n27731 41549\n51971 78039\n84134 100000\n86635 100000\n87940 100000\n34066 51109\n98071 100000\n52461 78751\n60117 90233\n37532 56329\n79874 100000\n45760 68707\n17634 26354\n66260 99373\n26680 39950\n61099 91693\n4303 6425\n2754 4098\n18255 27287\n75169 100000\n54736 82161\n12163 18176\n18994 28404\n18710 27964\n54186 81337\n26808 40143\n959 1419\n97669 100000\n25798 38618\n43426 65242\n73010 100000\n93957 100000\n74089 100000\n75552 100000\n50606 76018\n66943 100000\n42284 63513\n90661 100000\n72203 100000\n39797 59768\n7295 10880\n63486 95237\n52920 79438\n77496 100000\n7392 11032\n5006 7484\n86493 100000\n15506 23154\n39750 59696\n30048 45033\n64794 97200\n51407 77211\n12192 18218\n7329 10935\n24618 36843\n54682 82080\n56186 84352\n55367 83116\n91785 100000\n63238 94869\n67125 100000\n22139 33152\n80912 100000\n24534 36715\n47239 70951\n34847 52295\n45928 68959\n22766 34074\n84319 100000\n52264 78469\n73395 100000\n97051 100000\n62353 93573\n23823 35655\n77475 100000\n68606 100000\n9731 14503\n27582 41324\n74598 100000\n23970 35876\n80149 100000\n19219 28746\n38340 57561\n917 1353\n84647 100000\n32381 48563\n90188 100000\n2649 3947\n7022 10457\n17384 25976\n19369 28977\n48805 73304\n80452 100000\n44146 66297\n71276 100000\n66369 99535\n71713 100000\n62494 93776\n58205 87376\n22653 33910\n37519 56307\n45535 68357\n67230 100000\n63761 95650\n98734 100000\n68320 100000\n8783 13084\n14382 21482\n1893 2815\n40589 60953\n53210 79863\n32221 48316\n11280 16837\n68094 100000\n96290 100000\n49126 73788\n75432 100000\n71727 100000\n34215 51334\n48764 73240\n23526 35210\n51264 76991\n32823 49235\n88989 100000\n57181 85858\n35617 53452\n51926 77970\n76696 100000\n54899 82400\n28761 43099\n9295 13867\n78509 100000\n8798 13109\n90548 100000\n86591 100000\n22874 34230\n47677 71627\n83722 100000\n45498 68304\n86847 100000\n76739 100000\n80789 100000\n67692 100000\n21336 31937\n35981 54009\n28648 42938\n91604 100000\n98945 100000\n23261 34810\n74167 100000\n92922 100000\n92952 100000\n99415 100000\n14114 21086\n37638 56485\n80368 100000\n52799 79256\n23801 35621\n98331 100000\n53391 80137\n62088 93165\n60281 90470\n30690 46027\n5156 7706\n18012 26913\n48279 72519\n24659 36908\n87523 100000\n87631 100000\n16535 24702\n30837 46246\n81363 100000\n77411 100000\n43272 65011\n67159 100000\n84722 100000\n57459 86260\n19341 28936\n16622 24828\n65370 98056\n57380 86152\n57726 86655\n48301 72548\n7684 11464\n43004 64597\n71748 100000\n98880 100000\n6079 9044\n72708 100000\n1527 2282\n90653 100000\n20856 31233\n65870 98793\n84292 100000\n85800 100000\n91593 100000\n76231 100000\n78216 100000\n92507 100000\n71402 100000\n10854 16194\n43355 65137\n11861 17717\n86919 100000\n91609 100000\n89501 100000\n23139 34623\n96493 100000\n72446 100000\n87963 100000\n88137 100000\n56189 84355\n52685 79090\n6051 9006\n19139 28624\n35146 52748\n20814 31172\n51495 77337\n30856 46275\n97009 100000\n61191 91828\n99898 100000\n39206 58877\n83580 100000\n3270 4862\n36913 55397\n92771 100000\n21757 32575\n94791 100000\n52476 78771\n98823 100000\n67724 100000\n82268 100000\n12560 18768\n67454 100000\n30950 46417\n6223 9261\n27704 41507\n93327 100000\n25253 37806\n59829 89801\n32103 48141\n23838 35679\n63155 94748\n65684 98511\n16637 24851\n27736 41558\n58302 87526\n22510 33703\n84978 100000\n98902 100000\n93448 100000\n86511 100000\n16694 24936\n38465 57745\n70302 100000\n70015 100000\n76953 100000\n78270 100000\n24937 37332\n70637 100000\n6335 9430\n56400 84681\n61232 91882\n78305 100000\n26422 39560\n1340 2000\n83245 100000\n362 531\n96695 100000\n47530 71396\n34649 51993\n88330 100000\n91180 100000\n95610 100000\n86270 100000\n88333 100000\n59006 88585\n68761 100000\n67322 100000\n97855 100000\n68429 100000\n41598 62481\n63330 95006\n33014 49530\n8781 13081\n51138 76802\n61415 92154\n16283 24321\n64528 96807\n62475 93748\n7517 11214\n56028 84120\n58393 87663\n16583 24773\n22561 33774\n91129 100000\n22052 33019\n23065 34506\n55615 83502\n21231 31788\n62718 94117\n26363 39471\n37521 56311\n7249 10809\n90048 100000\n41707 62642\n97039 100000\n31451 47166\n57233 85931\n31409 47104\n32140 48197\n86658 100000\n66 95\n44263 66472\n27890 41787\n60646 91015\n95250 100000\n66533 99776\n44252 66456\n61208 91851\n2921 4351\n21727 32531\n81764 100000\n82318 100000\n41988 63062\n60272 90458\n55720 83663\n8821 13146\n47827 71846\n98269 100000\n96843 100000\n87628 100000\n86201 100000\n372 544\n97202 100000\n86621 100000\n30395 45574\n68854 100000\n80145 100000\n46612 69997\n43555 65417\n9571 14258\n37326 56009\n26914 40306\n87880 100000\n35187 52809\n4329 6465\n73758 100000\n90565 100000\n38215 57363\n47342 71107\n33928 50905\n52792 79246\n50323 75579\n28433 42608\n19857 29719\n42959 64530\n46701 70133\n70109 100000\n20859 31238\n37767 56675\n23242 34784\n80383 100000\n21353 31961\n70832 100000\n29059 43555\n22734 34030\n49970 75048\n21623 32377\n83269 100000\n38711 58128\n25574 38288\n57559 86415\n82190 100000\n67118 100000\n86090 100000\n40274 60467\n86463 100000\n7784 11604\n92978 100000\n7041 10490\n23066 34507\n51720 77668\n95125 100000\n83967 100000\n52022 78113\n17092 25532\n82292 100000\n30725 46075\n95097 100000\n46436 69727\n85653 100000\n62033 93086\n72063 100000\n90865 100000\n59267 88968\n85358 100000\n61795 92726\n98616 100000\n74558 100000\n27028 40481\n16894 25238\n27703 41505\n67352 100000\n6455 9616\n60334 90545\n8236 12279\n80124 100000\n15973 23863\n68768 100000\n94193 100000\n8372 12479\n4309 6433\n63007 94535\n88343 100000\n4062 6056\n70342 100000\n74111 100000\n20543 30759\n61534 92341\n70995 100000\n53637 80502\n20853 31227\n16308 24358\n25206 37737\n74183 100000\n39093 58713\n51091 76729\n836 1235\n70965 100000\n48339 72601\n4614 6891\n19039 28466\n67760 100000\n26172 39178\n67455 100000\n24943 37343\n6462 9626\n86721 100000\n44881 67390\n23001 34417\n46500 69825\n12455 18610\n50918 76468\n12590 18817\n38217 57366\n57736 86670\n20495 30687\n72089 100000\n54665 82054\n2593 3864\n45282 67991\n92388 100000\n77264 100000\n27995 41942\n96974 100000\n92347 100000\n29411 44073\n63339 95018\n66271 99389\n72049 100000\n3339 4961\n5330 7962\n53335 80054\n52232 78421\n12741 19054\n4136 6171\n81845 100000\n26174 39180\n55585 83454\n85787 100000\n47061 70674\n43215 64925\n57079 85697\n24268 36316\n40528 60862\n78753 100000\n19015 28431\n92551 100000\n37980 56994\n28992 43454\n186 267\n59043 88638\n99962 100000\n28351 42477\n45324 68055\n50866 76397\n68283 100000\n20588 30828\n56433 84731\n92674 100000\n12409 18540\n70643 100000\n29052 43545\n22505 33696\n65909 98850\n9691 14440\n78023 100000\n91763 100000\n53703 80602\n96063 100000\n83019 100000\n4449 6643\n43644 65552\n17955 26829\n9658 14385\n97642 100000\n66218 99307\n55214 82872\n24792 37109\n29162 43705\n60220 90384\n32109 48149\n15528 23192\n89083 100000\n26913 40305\n35774 53692\n59515 89340\n60794 91241\n10964 16365\n13767 20569\n48512 72857\n13574 20283\n60139 90266\n66642 99942\n46055 69144\n10809 16126\n45471 68269\n82583 100000\n61821 92761\n72745 100000\n8356 12451\n81859 100000\n66017 99015\n62948 94451\n50293 75529\n43930 65977\n46305 69534\n42776 64249\n91062 100000\n45609 68480\n1425 2123\n34145 51227\n18347 27425\n52636 79018\n96897 100000\n85021 100000\n55246 82923\n6574 9791\n51280 77014\n62317 93520\n12535 18729\n85061 100000\n86819 100000\n84597 100000\n88038 100000\n42117 63251\n82255 100000\n8159 12168\n406 593\n14360 21449\n10177 15173\n40360 60595\n69571 100000\n72647 100000\n51114 76763\n97567 100000\n5763 8585\n98511 100000\n694 1021\n63885 95841\n81620 100000\n39547 59396\n98606 100000\n73229 100000\n47872 71913\n12080 18046\n89208 100000\n90310 100000\n20499 30693\n22876 34232\n6188 9211\n59838 89814\n84827 100000\n48964 73544\n18244 27271\n76582 100000\n69009 100000\n98274 100000\n70715 100000\n12730 19035\n80746 100000\n67638 100000\n77103 100000\n27730 41547\n43526 65376\n39644 59541\n68134 100000\n5503 8205\n31623 47426\n61846 92800\n1629 2433\n83626 100000\n45114 67741\n39553 59403\n51549 77416\n28952 43392\n40933 61469\n85554 100000\n15473 23104\n61655 92514\n25952 38841\n82546 100000\n84007 100000\n93915 100000\n2033 3020\n85008 100000\n56503 84831\n80247 100000\n74919 100000\n55289 82992\n97442 100000\n20991 31434\n5306 7927\n33560 50357\n74429 100000\n76543 100000\n38807 58278\n38942 58483\n80398 100000\n75364 100000\n63043 94586\n88456 100000\n99683 100000\n95567 100000\n79853 100000\n62924 94416\n37963 56971\n75212 100000\n68212 100000\n47456 71279\n28240 42312\n86396 100000\n63689 95543\n53644 80513\n17936 26799\n34558 51854\n40388 60641\n93715 100000\n82462 100000\n75754 100000\n78960 100000\n76206 100000\n35554 53356\n72122 100000\n15433 23044\n59518 89344\n74077 100000\n28646 42934\n25059 37515\n34880 52340\n2924 4356\n65543 98314\n4310 6434\n8000 11928\n15436 23049\n87143 100000\n71689 100000\n31457 47175\n24818 37148\n96167 100000\n22472 33651\n47621 71540\n24533 36713\n5700 8500\n13317 19907\n98540 100000\n86953 100000\n58795 88270\n78518 100000\n29276 43874\n1233 1836\n1206 1798\n64878 97328\n73666 100000\n86001 100000\n44622 67004\n94362 100000\n61879 92855\n57762 86706\n55193 82840\n89314 100000\n99152 100000\n24837 37180\n73054 100000\n94793 100000\n42005 63084\n83785 100000\n19383 28998\n86308 100000\n25480 38147\n21314 31908\n37289 55957\n34565 51866\n70324 100000\n90568 100000\n25981 38887\n72243 100000\n38018 57057\n65133 97710\n62708 94100\n45823 68804\n59687 89591\n66428 99617\n38616 57980\n74072 100000\n92280 100000\n6334 9428\n2782 4145\n5398 8059\n32900 49360\n89680 100000\n14112 21084\n54733 82156\n88201 100000\n20722 31031\n82203 100000\n21167 31691\n64251 96386\n86903 100000\n51197 76890\n66314 99453\n92841 100000\n38531 57853\n24903 37282\n44561 66915\n55871 83892\n97041 100000\n30849 46264\n38898 58420\n93690 100000\n28649 42940\n13995 20910\n3338 4959\n30342 45500\n46736 70184\n14347 21431\n32750 49122\n730 1077\n72593 100000\n94462 100000\n36977 55492\n80574 100000\n90257 100000\n92482 100000\n57731 86663\n50609 76024\n77484 100000\n31162 46724\n48354 72621\n51863 77881\n75109 100000\n21078 31558\n20782 31124\n51127 76784\n13988 20900\n52034 78129\n41835 62835\n35623 53460\n58447 87738\n1616 2415\n38191 57321\n59882 89880\n89699 100000\n92404 100000\n51275 77007\n83844 100000\n38551 57879\n86355 100000\n80129 100000\n86208 100000\n80476 100000\n50545 75929\n7458 11128\n88791 100000\n40996 61566\n61371 92088\n96249 100000\n43634 65536\n37408 56141\n99588 100000\n13500 20173\n88635 100000\n85860 100000\n63943 95929\n81162 100000\n23404 35030\n40719 61151\n97795 100000\n33048 49580\n43560 65423\n31014 46506\n31550 47317\n35466 53224\n63400 95106\n28160 42185\n88847 100000\n10277 15318\n8876 13231\n4202 6275\n74725 100000\n86260 100000\n45470 68268\n39619 59503\n90049 100000\n78531 100000\n8478 12635\n10137 15114\n4741 7078\n87549 100000\n17750 26516\n11254 16793\n30535 45790\n42864 64380\n91979 100000\n55811 83803\n6927 10319\n87626 100000\n55419 83196\n48771 73248\n96809 100000\n11655 17396\n85363 100000\n34030 51058\n72062 100000\n14576 21766\n45599 68463\n40024 60095\n73967 100000\n79921 100000\n16487 24630\n180 260\n62951 94454\n74906 100000\n33095 49652\n57693 86611\n11404 17025\n45449 68239\n76204 100000\n52885 79385\n41740 62690\n86930 100000\n95036 100000\n66335 99483\n55416 83193\n45226 67907\n32543 48809\n44398 66676\n73379 100000\n22233 33292\n16056 23983\n31897 47826\n16226 24235\n54640 82015\n43467 65297\n60834 91304\n46293 69513\n62982 94496\n73713 100000\n58879 88395\n4565 6826\n14379 21478\n85726 100000\n27260 40828\n55424 83203\n17861 26681\n42025 63113\n28730 43054\n28161 42186\n49942 75007\n92819 100000\n92105 100000\n92802 100000\n50903 76447\n1010 1491\n40813 61289\n32446 48664\n12346 18446\n15460 23084\n47434 71244\n56500 84827\n18135 27107\n67813 100000\n93810 100000\n62355 93575\n79134 100000\n43367 65153\n18189 27188\n43210 64918\n64040 96072\n58553 87906\n94245 100000\n23743 35536\n96402 100000\n6906 10284\n9465 14110\n59968 90014\n80547 100000\n570 837\n90425 100000\n35890 53872\n22157 33180\n41764 62725\n93072 100000\n13136 19634\n90873 100000\n43818 65806\n17252 25776\n8619 12844\n5423 8097\n91425 100000\n17209 25717\n66077 99104\n59100 88719\n61643 92498\n75053 100000\n16629 24838\n18553 27730\n2295 3416\n28931 43362\n83685 100000\n88440 100000\n22058 33030\n45739 68676\n21188 31722\n69211 100000\n94872 100000\n47160 70828\n6477 9650\n62988 94506\n20431 30598\n77434 100000\n8112 12093\n77802 100000\n64713 97086\n37815 56746\n24827 37163\n26102 39073\n15493 23133\n91544 100000\n87397 100000\n76990 100000\n47460 71285\n48114 72273\n80968 100000\n91701 100000\n28009 41961\n11781 17592\n74251 100000\n22823 34156\n83660 100000\n14196 21213\n44788 67257\n55573 83433\n44510 66844\n99121 100000\n85222 100000\n70909 100000\n94091 100000\n68937 100000\n22760 34068\n2382 3541\n21809 32652\n85673 100000\n53710 80612\n63845 95781\n65573 98357\n25155 37659\n95347 100000\n4047 6032\n75366 100000\n21267 31843\n60592 90937\n5406 8071\n40862 61363\n21325 31923\n66745 100000\n50658 76093\n31820 47709\n78310 100000\n84382 100000\n35708 53591\n77514 100000\n60213 90373\n3107 4620\n74178 100000\n61362 92076\n12413 18546\n97014 100000\n72046 100000\n78740 100000\n93174 100000\n22883 34244\n51010 76607\n59786 89736\n24865 37222\n23752 35548\n51594 77483\n69649 100000\n37956 56959\n46495 69819\n82826 100000\n18207 27215\n29813 44680\n64611 96938\n22374 33507\n33573 50375\n71538 100000\n76212 100000\n6788 10106\n70311 100000\n26701 39982\n1760 2622\n4408 6583\n7325 10927\n84021 100000\n32676 49011\n28866 43263\n10009 14925\n21676 32458\n77217 100000\n25769 38576\n86342 100000\n17640 26362\n60732 91143\n19046 28477\n88325 100000\n43607 65494\n62980 94493\n2653 3953\n45875 68878\n23110 34579\n11119 16597\n56493 84816\n98170 100000\n14070 21021\n20929 31343\n341 500\n18152 27134\n75382 100000\n5009 7489\n72876 100000\n82537 100000\n15170 22650\n2237 3330\n61850 92806\n83864 100000\n40079 60178\n48418 72712\n76125 100000\n11411 17035\n33576 50380\n63749 95631\n58503 87827\n82174 100000\n52576 78923\n64952 97437\n29845 44726\n73587 100000\n22287 33376\n99727 100000\n75318 100000\n9236 13775\n61172 91804\n66685 100000\n11649 17388\n76064 100000\n83712 100000\n72542 100000\n50527 75898\n92622 100000\n91212 100000\n57052 85656\n81266 100000\n38492 57789\n55902 83936\n49014 73622\n48517 72865\n45489 68291\n48800 73296\n72908 100000\n94557 100000\n87201 100000\n82107 100000\n40650 61045\n92367 100000\n92678 100000\n78193 100000\n71812 100000\n33931 50909\n55966 84032\n6378 9491\n89226 100000\n51878 77901\n1396 2080\n96866 100000\n499 739\n49201 73897\n26365 39475\n95932 100000\n80840 100000\n62179 93309\n60989 91529\n97880 100000\n87621 100000\n18393 27491\n89775 100000\n65571 98354\n21393 32024\n37128 55721\n45485 68285\n43576 65449\n82391 100000\n34123 51195\n191 275\n5435 8113\n85758 100000\n40635 61026\n6726 10007\n31106 46641\n77183 100000\n14737 22001\n55867 83885\n73117 100000\n42082 63195\n71171 100000\n47983 72078\n42848 64355\n37676 56543\n71580 100000\n74546 100000\n79338 100000\n16703 24952\n89176 100000\n67751 100000\n46831 70327\n85924 100000\n87206 100000\n79191 100000\n91356 100000\n87336 100000\n38102 57181\n48183 72376\n27924 41841\n98832 100000\n77255 100000\n58786 88255\n6951 10352\n77607 100000\n65623 98426\n95177 100000\n6113 9092\n88946 100000\n98353 100000\n24812 37139\n28110 42110\n82623 100000\n29873 44766\n84090 100000\n23135 34616\n38322 57533\n28319 42428\n53241 79916\n9812 14625\n32558 48832\n89772 100000\n86233 100000\n97019 100000\n93162 100000\n24155 36146\n44243 66441\n25217 37750\n48344 72606\n36333 54537\n76379 100000\n81722 100000\n26522 39710\n37185 55803\n77390 100000\n20151 30166\n5801 8645\n69075 100000\n11296 16859\n24625 36855\n62748 94160\n24052 35994\n72428 100000\n95520 100000\n80931 100000\n81699 100000\n4749 7091\n26969 40392\n97365 100000\n45513 68324\n56006 84085\n25944 38828\n2001 2970\n16038 23957\n9055 13497\n35730 53628\n24378 36483\n9048 13487\n85343 100000\n80491 100000\n97766 100000\n19808 29650\n78894 100000\n2666 3970\n4476 6680\n8279 12338\n49170 73850\n73701 100000\n92136 100000\n36084 54172\n86132 100000\n16274 24308\n87566 100000\n72391 100000\n20157 30173\n16600 24797\n79000 100000\n79480 100000\n52234 78423\n4474 6678\n92323 100000\n67373 100000\n35213 52850\n6593 9816\n87948 100000\n3881 5790\n45700 68623\n58601 87977\n90295 100000\n84862 100000\n63432 95151\n92387 100000\n4858 7254\n79570 100000\n57806 86780\n83615 100000\n57261 85974\n89503 100000\n33135 49713\n2703 4027\n80372 100000\n4874 7281\n20757 31084\n7271 10843\n9250 13797\n17696 26441\n75571 100000\n40307 60519\n98549 100000\n45575 68425\n27328 40934\n32481 48720\n54109 81228\n61830 92776\n90540 100000\n80375 100000\n46334 69578\n44801 67276\n20177 30202\n35945 53954\n23284 34842\n36794 55222\n5741 8555\n23580 35287\n87377 100000\n32193 48277\n45791 68755\n92314 100000\n18609 27811\n68513 100000\n70312 100000\n23238 34778\n43974 66048\n58045 87139\n40277 60472\n14884 22214\n2312 3443\n92535 100000\n84161 100000\n27893 41792\n22603 33837\n38935 58473\n53627 80488\n72875 100000\n53142 79759\n32884 49338\n2304 3429\n73915 100000\n49329 74091\n14597 21795\n71068 100000\n92647 100000\n63493 95249\n82856 100000\n15181 22668\n56205 84376\n94656 100000\n53825 80792\n36040 54099\n1843 2743\n32209 48300\n68171 100000\n93948 100000\n51445 77268\n37761 56665\n62854 94317\n11708 17479\n47410 71208\n1873 2786\n11974 17881\n16168 24150\n77940 100000\n15501 23145\n86331 100000\n51903 77938\n61871 92843\n7979 11893\n27551 41278\n20633 30898\n29024 43498\n28816 43187\n49519 74378\n53536 80351\n49969 75047\n80765 100000\n52183 78352\n3347 4972\n76261 100000\n60815 91274\n91473 100000\n44023 66119\n82635 100000\n97029 100000\n98529 100000\n23172 34672\n79125 100000\n57317 86058\n34833 52275\n57227 85922\n45341 68079\n94152 100000\n10786 16092\n66608 99891\n25200 37729\n69048 100000\n20484 30670\n53781 80723\n16750 25023\n78736 100000\n81585 100000\n23519 35199\n92226 100000\n81152 100000\n4676 6981\n37304 55975\n77872 100000\n17484 26136\n40598 60966\n19549 29254\n39938 59972\n63293 94948\n91950 100000\n11376 16983\n60382 90620\n73798 100000\n36196 54338\n86334 100000\n75128 100000\n52522 78842\n60463 90742\n38069 57131\n7209 10747\n24166 36161\n50446 75766\n58427 87709\n70413 100000\n1832 2725\n17966 26848\n63714 95575\n68719 100000\n23472 35136\n70893 100000\n28307 42408\n9049 13488\n64761 97154\n25314 37895\n11079 16538\n10503 15648\n8973 13376\n41432 62229\n72583 100000\n58753 88210\n3200 4761\n93231 100000\n26938 40342\n65042 97576\n96502 100000\n42806 64292\n91027 100000\n53370 80108\n39544 59392\n13868 20722\n92820 100000\n1403 2091\n74636 100000\n28868 43266\n72754 100000\n75714 100000\n41005 61579\n73559 100000\n6786 10103\n40133 60254\n50958 76530\n68411 100000\n42300 63539\n55702 83634\n64725 97104\n59102 88722\n92996 100000\n38988 58554\n17763 26533\n62966 94474\n5417 8089\n7221 10766\n23398 35023\n8167 12177\n49281 74018\n73053 100000\n24744 37039\n17287 25830\n39432 59223\n95306 100000\n21403 32041\n59038 88630\n84855 100000\n49476 74313\n31875 47790\n55011 82570\n6940 10339\n90617 100000\n58729 88178\n29048 43538\n99309 100000\n23053 34490\n89173 100000\n36638 54984\n80315 100000\n95830 100000\n63073 94627\n12659 18917\n1928 2866\n6996 10420\n58151 87297\n68312 100000\n15516 23171\n53675 80559\n18181 27177\n31576 47356\n56152 84301\n66721 100000\n79152 100000\n7241 10796\n35885 53864\n61928 92928\n95459 100000\n99820 100000\n87524 100000\n54361 81594\n63260 94900\n52025 78116\n66876 100000\n63034 94572\n16034 23951\n34610 51934\n70509 100000\n37584 56407\n60397 90642\n3719 5547\n53469 80254\n66515 99752\n90758 100000\n72380 100000\n84323 100000\n89589 100000\n43464 65294\n71211 100000\n63514 95278\n57874 86881\n57596 86469\n39185 58849\n37726 56616\n88583 100000\n58535 87877\n98754 100000\n59358 89105\n37384 56102\n3438 5112\n77428 100000\n60215 90377\n39209 58881\n7359 10983\n92353 100000\n76171 100000\n16258 24282\n20139 30150\n30561 45828\n4247 6337\n67966 100000\n82194 100000\n6898 10272\n63119 94691\n54134 81266\n4838 7223\n79266 100000\n17839 26646\n61240 91895\n57418 86206\n12543 18743\n29405 44064\n63567 95357\n65769 98641\n92082 100000\n94324 100000\n1721 2566\n28493 42705\n38164 57281\n88922 100000\n21685 32470\n6532 9729\n75718 100000\n87603 100000\n90402 100000\n901 1328\n78655 100000\n11463 17115\n53598 80446\n19796 29633\n3874 5780\n22427 33588\n22855 34199\n39374 59132\n9401 14024\n87319 100000\n39044 58637\n80011 100000\n69730 100000\n47944 72018\n27286 40868\n13598 20318\n52136 78278\n77252 100000\n12369 18481\n39811 59785\n70738 100000\n70308 100000\n74424 100000\n72574 100000\n53451 80228\n91935 100000\n11874 17736\n97858 100000\n1066 1578\n94187 100000\n36678 55047\n14095 21057\n12525 18715\n10575 15754\n68797 100000\n38050 57102\n67521 100000\n71237 100000\n50445 75765\n65113 97678\n71663 100000\n53932 80954\n98622 100000\n10722 15989\n53964 81003\n84603 100000\n28209 42265\n82158 100000\n66892 100000\n63979 95982\n74056 100000\n56261 84463\n98279 100000\n59811 89776\n60365 90593\n56894 85429\n4622 6904\n95997 100000\n55947 84002\n27317 40916\n63022 94556\n86469 100000\n86622 100000\n95194 100000\n65725 98576\n68994 100000\n50194 75382\n90438 100000\n9646 14368\n5325 7955\n52464 78756\n55228 82895\n17357 25934\n34513 51785\n13000 19429\n39293 59007\n13258 19818\n12450 18603\n52657 79046\n50682 76125\n1013 1496\n96393 100000\n8469 12621\n63242 94874\n77344 100000\n19608 29343\n92883 100000\n32474 48709\n16779 25070\n51005 76598\n27251 40815\n7628 11382\n90675 100000\n79857 100000\n76245 100000\n44122 66262\n76295 100000\n71428 100000\n84971 100000\n56464 84776\n1474 2201\n53828 80796\n49032 73649\n5087 7605\n38328 57542\n65471 98205\n62663 94033\n54875 82364\n66057 99076\n29790 44647\n96446 100000\n56293 84516\n63824 95754\n30569 45841\n88475 100000\n5959 8875\n50891 76429\n98454 100000\n66762 100000\n14408 21519\n54891 82391\n91358 100000\n23462 35121\n22588 33815\n21074 31552\n33839 50777\n10820 16143\n10799 16112\n62824 94271\n6292 9361\n87855 100000\n727 1073\n8066 12025\n83569 100000\n41270 61987\n13790 20604\n38923 58455\n71960 100000\n26735 40032\n36379 54602\n90633 100000\n51745 77701\n88806 100000\n59024 88608\n30567 45837\n12135 18133\n59810 89774\n86143 100000\n39864 59862\n41502 62334\n64509 96777\n17443 26072\n94513 100000\n20041 30002\n94944 100000\n42890 64422\n50154 75327\n31945 47898\n54364 81600\n2526 3759\n18758 28042\n5002 7477\n14312 21381\n11875 17738\n54691 82092\n94932 100000\n49451 74278\n21990 32925\n77281 100000\n58368 87621\n98807 100000\n14242 21280\n25482 38150\n37762 56667\n34396 51601\n61801 92735\n94340 100000\n86512 100000\n92789 100000\n34352 51529\n17536 26209\n61154 91778\n68394 100000\n49725 74692\n12522 18711\n67969 100000\n11235 16765\n50661 76097\n25130 37622\n97315 100000\n73677 100000\n75535 100000\n5336 7972\n65031 97560\n14235 21268\n37760 56664\n95752 100000\n54463 81748\n32451 48672\n69106 100000\n94129 100000\n75976 100000\n57485 86299\n90185 100000\n7110 10597\n69091 100000\n21358 31968\n72397 100000\n18369 27455\n40571 60925\n87683 100000\n32756 49133\n99062 100000\n71261 100000\n83696 100000\n73151 100000\n24611 36832\n6050 9005\n48530 72882\n22110 33111\n21659 32432\n16490 24635\n51842 77851\n4705 7025\n35328 53020\n13714 20494\n43942 65996\n17485 26137\n3218 4787\n65515 98274\n41921 62963\n26477 39646\n69339 100000\n23427 35067\n20621 30877\n18220 27236\n73124 100000\n46502 69829\n10239 15264\n35284 52951\n4434 6622\n36907 55390\n27602 41354\n7863 11717\n69344 100000\n45390 68151\n79711 100000\n39146 58792\n39516 59350\n58708 88145\n98218 100000\n12307 18387\n57655 86554\n49000 73600\n74689 100000\n19505 29184\n52895 79400\n77556 100000\n46200 69369\n66177 99246\n5686 8478\n35057 52608\n31096 46627\n74972 100000\n48556 72921\n97861 100000\n65109 97671\n4126 6159\n3386 5032\n15512 23165\n49367 74151\n15793 23599\n25664 38425\n65599 98395\n70294 100000\n11925 17811\n85964 100000\n26350 39454\n28186 42226\n99444 100000\n78307 100000\n32503 48752\n35969 53990\n70157 100000\n13945 20831\n40209 60368\n11330 16910\n61102 91697\n55997 84071\n86668 100000\n39197 58865\n44384 66656\n23246 34789\n41451 62255\n42770 64242\n35307 52986\n38987 58552\n95049 100000\n32066 48083\n23570 35273\n78920 100000\n19328 28916\n32132 48185\n88471 100000\n5803 8647\n36587 54904\n20529 30740\n2957 4400\n64352 96532\n59680 89581\n93364 100000\n27096 40584\n89336 100000\n51297 77042\n73588 100000\n22116 33119\n5813 8662\n4087 6095\n11464 17117\n58639 88040\n64222 96340\n28713 43030\n52364 78612\n5983 8911\n94533 100000\n21402 32040\n51455 77281\n18677 27912\n85517 100000\n79531 100000\n1222 1819\n42589 63973\n37472 56237\n1870 2782\n60003 90064\n48983 73577\n40424 60696\n16514 24671\n31780 47647\n58235 87421\n90938 100000\n27385 41017\n81367 100000\n89034 100000\n77686 100000\n80875 100000\n45816 68796\n46853 70362\n81104 100000\n67022 100000\n22789 34105\n54871 82357\n44411 66699\n3862 5764\n85684 100000\n78651 100000\n24749 37047\n15614 23331\n77299 100000\n24929 37319\n52009 78093\n76828 100000\n37263 55924\n88632 100000\n23144 34630\n66754 100000\n92624 100000\n89111 100000\n87112 100000\n6519 9708\n64426 96641\n73742 100000\n85748 100000\n37357 56057\n88181 100000\n19051 28485\n51740 77695\n72846 100000\n76691 100000\n93081 100000\n76241 100000\n75377 100000\n97801 100000\n91032 100000\n86110 100000\n55196 82844\n14144 21134\n1526 2280\n76468 100000\n48506 72848\n19404 29028\n49702 74657\n41993 63069\n93309 100000\n35996 54032\n24870 37231\n93623 100000\n73338 100000\n99595 100000\n80493 100000\n54889 82387\n77395 100000\n23717 35495\n61798 92730\n85336 100000\n70746 100000\n8768 13063\n10524 15678\n66072 99098\n58860 88368\n8104 12083\n10666 15895\n82897 100000\n1358 2023\n63316 94985\n24472 36624\n5754 8573\n18720 27980\n39070 58678\n36761 55173\n98294 100000\n19683 29461\n7612 11357\n47337 71099\n56547 84898\n31946 47899\n25034 37479\n38126 57222\n61705 92590\n69307 100000\n78335 100000\n72355 100000\n91931 100000\n43839 65836\n44569 66926\n13195 19723\n4627 6909\n86146 100000\n73989 100000\n87813 100000\n76971 100000\n68795 100000\n43454 65282\n51614 77514\n22671 33937\n88696 100000\n80507 100000\n69636 100000\n36746 55146\n95534 100000\n4875 7283\n29182 43735\n3537 5266\n56641 85043\n7439 11101\n24105 36068\n47305 71047\n35350 53049\n52237 78427\n24063 36008\n61028 91590\n53846 80825\n79687 100000\n92170 100000\n44300 66524\n76248 100000\n62635 93993\n59981 90033\n55854 83867\n76324 100000\n96426 100000\n61517 92315\n30503 45743\n56446 84750\n59119 88746\n89334 100000\n8315 12389\n66942 100000\n66330 99475\n10977 16384\n46040 69122\n7462 11134\n31773 47638\n81836 100000\n87490 100000\n9097 13562\n65378 98069\n23889 35749\n19115 28587\n38534 57858\n81130 100000\n9308 13888\n62425 93673\n80509 100000\n42999 64590\n78934 100000\n63229 94854\n74959 100000\n91560 100000\n70121 100000\n89553 100000\n93154 100000\n80199 100000\n42532 63885\n58644 88047\n25588 38310\n14739 22005\n9171 13673\n73413 100000\n96795 100000\n54322 81538\n50338 75600\n98151 100000\n18131 27101\n25693 38467\n31343 47001\n79850 100000\n9191 13700\n16764 25047\n62648 94010\n36697 55077\n78873 100000\n60741 91156\n39340 59077\n71875 100000\n42861 64375\n52665 79059\n64315 96478\n65038 97570\n74086 100000\n67132 100000\n48489 72821\n10003 14915\n3598 5358\n15159 22636\n82146 100000\n76182 100000\n29695 44507\n68538 100000\n99026 100000\n57054 85660\n25319 37903\n24174 36174\n69800 100000\n72277 100000\n33142 49723\n17840 26647\n1008 1488\n84765 100000\n40895 61415\n60263 90446\n75085 100000\n77466 100000\n78409 100000\n19572 29286\n97117 100000\n59899 89906\n17320 25876\n44653 67052\n94672 100000\n19162 28660\n60871 91360\n91286 100000\n4049 6034\n660 970\n68921 100000\n87906 100000\n12114 18099\n10062 15002\n17038 25449\n51658 77575\n81902 100000\n89310 100000\n67313 100000\n79378 100000\n69466 100000\n90640 100000\n69122 100000\n95007 100000\n10595 15787\n31834 47727\n32001 47987\n44666 67069\n82439 100000\n76335 100000\n57220 85913\n34777 52194\n36541 54840\n71714 100000\n75192 100000\n39234 58915\n57774 86724\n28784 43137\n23094 34552\n65611 98411\n14464 21602\n22863 34212\n26051 38993\n8755 13045\n19615 29353\n38116 57205\n74375 100000\n11269 16820\n60769 91202\n13205 19739\n62448 93703\n44128 66270\n37538 56339\n14089 21048\n2840 4232\n50712 76169\n49777 74764\n80482 100000\n24217 36241\n74338 100000\n72024 100000\n27016 40464\n37496 56276\n10789 16097\n1780 2653\n88682 100000\n1297 1932\n55471 83274\n7332 10941\n43430 65247\n92017 100000\n17084 25518\n58527 87864\n396 579\n80938 100000\n4989 7456\n15776 23574\n67149 100000\n37813 56744\n15624 23347\n26503 39684\n25535 38227\n29002 43469\n27136 40644\n1806 2688\n39789 59756\n59677 89577\n63363 95053\n5948 8858\n52223 78407\n89731 100000\n41008 61584\n34864 52316\n12358 18464\n17220 25732\n80137 100000\n12779 19109\n10087 15043\n82948 100000\n13535 20223\n53036 79608\n59294 89009\n48480 72807\n26030 38965\n33056 49593\n42049 63146\n94422 100000\n47858 71893\n51880 77904\n7252 10814\n59056 88659\n47613 71528\n423 617\n53743 80663\n44291 66513\n26755 40062\n99102 100000\n66290 99417\n60800 91252\n71773 100000\n18513 27672\n18410 27517\n91806 100000\n70973 100000\n6084 9052\n93552 100000\n76637 100000\n22920 34294\n17810 26605\n35796 53729\n56223 84405\n11680 17434\n67229 100000\n54081 81182\n68630 100000\n51675 77600\n65683 98509\n43907 65941\n61909 92901\n45345 68085\n83305 100000\n69383 100000\n35629 53469\n64949 97433\n69382 100000\n67012 100000\n81971 100000\n14643 21869\n41181 61851\n58142 87285\n69191 100000\n50537 75916\n79310 100000\n81677 100000\n918 1355\n31353 47016\n73267 100000\n56418 84707\n62853 94315\n42991 64579\n13775 20582\n11077 16536\n15860 23700\n73510 100000\n30358 45519\n75970 100000\n74200 100000\n94258 100000\n83994 100000\n3627 5406\n68000 100000\n16942 25307\n77698 100000\n12272 18331\n20118 30117\n66532 99775\n30132 45164\n49753 74734\n45314 68038\n99145 100000\n48980 73571\n58988 88558\n10795 16107\n47876 71920\n70420 100000\n93330 100000\n70128 100000\n91500 100000\n46036 69118\n37121 55709\n70892 100000\n46468 69776\n81250 100000\n58062 87167\n16162 24141\n42384 63671\n91242 100000\n69553 100000\n24501 36667\n57511 86340\n20034 29991\n18818 28134\n36957 55461\n68477 100000\n93900 100000\n78492 100000\n95421 100000\n62070 93140\n8522 12700\n77530 100000\n53914 80927\n83157 100000\n23251 34796\n81678 100000\n37729 56620\n95407 100000\n40107 60214\n48865 73394\n79465 100000\n88188 100000\n95671 100000\n42717 64159\n65876 98802\n24300 36368\n73391 100000\n23125 34602\n62765 94183\n83692 100000\n14716 21970\n16069 24005\n94276 100000\n33137 49717\n55478 83284\n91828 100000\n52672 79070\n38094 57170\n71901 100000\n13943 20829\n62752 94166\n8501 12666\n17164 25647\n55155 82785\n82913 100000\n36641 54989\n5915 8808\n90364 100000\n82775 100000\n71488 100000\n4653 6947\n99015 100000\n14319 21392\n58264 87469\n25352 37952\n80227 100000\n90840 100000\n26385 39503\n55936 83988\n33109 49672\n76014 100000\n5889 8772\n43493 65329\n48642 73055\n30402 45587\n75443 100000\n93885 100000\n85198 100000\n44025 66121\n82980 100000\n87776 100000\n57735 86669\n25146 37644\n17759 26528\n72677 100000\n72539 100000\n75044 100000\n63734 95611\n67405 100000\n69017 100000\n39488 59314\n54603 81961\n35050 52596\n69179 100000\n13706 20482\n19113 28583\n12602 18835\n95143 100000\n94933 100000\n60757 91182\n5174 7733\n76673 100000\n65654 98465\n90168 100000\n9329 13916\n30385 45560\n6102 9077\n31654 47475\n64257 96394\n91753 100000\n73686 100000\n52421 78693\n26949 40360\n69173 100000\n47696 71653\n17729 26489\n75867 100000\n98705 100000\n35914 53906\n60444 90713\n43094 64732\n47892 71941\n45694 68614\n19357 28958\n22328 33438\n19065 28506\n17550 26229\n95889 100000\n39640 59535\n16407 24512\n83879 100000\n5404 8068\n70022 100000\n52600 78959\n88736 100000\n57702 86624\n28000 41949\n81457 100000\n42888 64418\n86546 100000\n34302 51458\n54726 82145\n97799 100000\n43856 65861\n47874 71916\n79006 100000\n76283 100000\n18129 27098\n30642 45954\n12040 17984\n35643 53490\n16413 24519\n41223 61915\n71549 100000\n7714 11505\n74649 100000\n17971 26855\n14944 22304\n62269 93448\n16673 24906\n89290 100000\n92024 100000\n67007 100000\n74061 100000\n8409 12532\n64025 96052\n35163 52775\n92355 100000\n98316 100000\n92164 100000\n22027 32982\n66236 99333\n34793 52219\n40070 60164\n45515 68327\n37236 55884\n9053 13494\n29719 44539\n80618 100000\n33587 50398\n83319 100000\n45893 68905\n86183 100000\n32119 48165\n71644 100000\n14730 21989\n52366 78615\n30398 45580\n55783 83759\n44958 67504\n70250 100000\n24909 37291\n93228 100000\n83851 100000\n3357 4987\n60412 90663\n43684 65610\n96946 100000\n18725 27989\n60708 91108\n87416 100000\n77228 100000\n48905 73454\n76541 100000\n95678 100000\n41891 62917\n60702 91097\n72047 100000\n68286 100000\n36445 54700\n65461 98189\n78399 100000\n74080 100000\n54488 81786\n98503 100000\n27974 41913\n73182 100000\n46643 70041\n7297 10882\n94907 100000\n39326 59056\n11385 16997\n44758 67211\n2788 4154\n78586 100000\n92256 100000\n40246 60426\n14148 21140\n75684 100000\n11872 17733\n56347 84600\n48594 72976\n55358 83100\n94197 100000\n84249 100000\n88836 100000\n59759 89696\n26031 38966\n94251 100000\n3677 5480\n10639 15853\n72487 100000\n41968 63034\n25375 37988\n64900 97360\n67526 100000\n32341 48501\n859 1264\n88988 100000\n13468 20130\n31275 46897\n34251 51385\n60240 90413\n91282 100000\n51196 76888\n69136 100000\n87086 100000\n73491 100000\n12477 18643\n79517 100000\n35289 52959\n16911 25263\n81913 100000\n79 112\n894 1316\n45076 67685\n4493 6707\n63181 94784\n18387 27480\n37825 56761\n71496 100000\n27430 41086\n47465 71295\n69695 100000\n69505 100000\n4960 7410\n54614 81975\n66575 99841\n27113 40609\n89652 100000\n56835 85337\n25745 38542\n77335 100000\n78180 100000\n71307 100000\n36000 54038\n11151 16641\n8468 12619\n11808 17638\n78804 100000\n43489 65325\n72256 100000\n22083 33069\n37113 55696\n88279 100000\n28489 42699\n16745 25014\n48247 72472\n27214 40757\n15409 23011\n72083 100000\n22104 33103\n91504 100000\n29151 43685\n14895 22230\n46710 70147\n10646 15863\n34431 51655\n4044 6028\n4566 6828\n56001 84077\n12679 18949\n38912 58437\n90685 100000\n30761 46130\n11320 16895\n26908 40298\n69098 100000\n34818 52254\n66182 99254\n71102 100000\n6597 9821\n95252 100000\n21999 32939\n6036 8984\n84543 100000\n39385 59148\n97815 100000\n56050 84157\n4727 7055\n91705 100000\n59383 89143\n14224 21253\n93502 100000\n1489 2223\n32679 49016\n53325 80039\n9824 14643\n75791 100000\n55795 83777\n51949 78005\n30804 46197\n57197 85880\n26830 40177\n41594 62476\n50180 75362\n31486 47217\n83099 100000\n3883 5794\n14941 22298\n61536 92344\n83701 100000\n45915 68939\n32458 48682\n45056 67656\n58043 87135\n39382 59144\n75446 100000\n69208 100000\n12582 18803\n65242 97862\n30099 45110\n28654 42947\n71836 100000\n71500 100000\n48816 73322\n78104 100000\n98027 100000\n46560 69918\n11816 17652\n77591 100000\n32639 48953\n96142 100000\n79067 100000\n87354 100000\n95217 100000\n60513 90812\n68661 100000\n30110 45129\n26227 39261\n84467 100000\n25292 37861\n46926 70466\n3129 4654\n89641 100000\n2648 3946\n17205 25711\n39048 58644\n56184 84348\n39088 58705\n40065 60158\n82043 100000\n78128 100000\n71606 100000\n64290 96444\n81988 100000\n86756 100000\n96694 100000\n67160 100000\n78943 100000\n85055 100000\n34422 51640\n12726 19028\n70970 100000\n61464 92235\n13484 20152\n9208 13728\n43888 65911\n9428 14063\n29169 43716\n19388 29005\n8059 12015\n61128 91740\n44044 66145\n22482 33665\n8070 12031\n70645 100000\n94196 100000\n69694 100000\n23656 35401\n37681 56551\n60433 90697\n84646 100000\n25450 38103\n68920 100000\n90204 100000\n92427 100000\n22261 33338\n49979 75062\n49409 74215\n30707 46050\n90022 100000\n93726 100000\n11020 16450\n78619 100000\n63398 95104\n62879 94352\n9647 14369\n65660 98475\n69652 100000\n32494 48739\n80017 100000\n84340 100000\n12847 19200\n81761 100000\n30972 46447\n30072 45072\n28701 43009\n33150 49736\n77422 100000\n69854 100000\n94311 100000\n8704 12976\n80208 100000\n38794 58256\n625 917\n50095 75244\n1989 2952\n53424 80186\n78852 100000\n33434 50166\n1265 1882\n57565 86422\n51139 76804\n86364 100000\n17150 25626\n70252 100000\n59699 89611\n45211 67887\n40778 61237\n12869 19233\n97122 100000\n20963 31394\n11900 17777\n60104 90211\n10416 15519\n24983 37408\n56759 85217\n86087 100000\n81077 100000\n5760 8581\n77790 100000\n83093 100000\n2573 3830\n96754 100000\n11933 17823\n88754 100000\n7245 10802\n376 551\n2553 3801\n46123 69251\n68562 100000\n12491 18664\n55216 82875\n56364 84627\n85895 100000\n25658 38415\n75332 100000\n62018 93062\n41040 61637\n15402 23000\n81345 100000\n43735 65680\n90811 100000\n73597 100000\n40723 61157\n20051 30017\n44601 66972\n58803 88283\n8259 12309\n91566 100000\n6654 9902\n17937 26801\n86971 100000\n96182 100000\n1230 1831\n95457 100000\n85299 100000\n30069 45067\n74945 100000\n12570 18783\n89928 100000\n22286 33374\n71979 100000\n33488 50245\n17655 26384\n68681 100000\n59804 89764\n10057 14996\n87328 100000\n69603 100000\n70215 100000\n82244 100000\n40120 60233\n86068 100000\n69732 100000\n48632 73036\n81568 100000\n45124 67755\n29248 43835\n5227 7812\n88826 100000\n90748 100000\n19094 28551\n83151 100000\n82957 100000\n72069 100000\n32841 49263\n32610 48910\n31087 46614\n70987 100000\n52347 78589\n29558 44290\n78591 100000\n47664 71605\n16047 23969\n70119 100000\n14792 22082\n88189 100000\n9971 14871\n99131 100000\n4431 6616\n97539 100000\n65937 98891\n93553 100000\n31501 47237\n60596 90942\n82837 100000\n77864 100000\n91451 100000\n67887 100000\n73788 100000\n82225 100000\n45109 67733\n80068 100000\n16161 24140\n474 699\n48222 72435\n80641 100000\n20248 30312\n70145 100000\n94801 100000\n71528 100000\n82189 100000\n36127 54235\n64106 96170\n86272 100000\n30563 45830\n45437 68223\n28067 42045\n91352 100000\n11015 16442\n15699 23459\n95847 100000\n92651 100000\n9605 14310\n32168 48243\n70803 100000\n45194 67861\n736 1087\n15421 23025\n54487 81785\n6588 9807\n94246 100000\n69143 100000\n74034 100000\n27184 40714\n55931 83980\n46764 70226\n77739 100000\n14818 22121\n10133 15109\n7006 10433\n49664 74596\n84966 100000\n53684 80575\n47742 71724\n82108 100000\n463 680\n73500 100000\n61017 91570\n12226 18269\n61637 92489\n64139 96216\n60786 91228\n79235 100000\n889 1309\n87745 100000\n89756 100000\n17872 26698\n18250 27279\n85686 100000\n91076 100000\n5367 8012\n85852 100000\n67180 100000\n69771 100000\n26811 40148\n58701 88132\n8285 12346\n25134 37628\n33686 50548\n26672 39937\n57661 86563\n68601 100000\n61740 92640\n38454 57729\n12680 18951\n9100 13567\n56177 84338\n92479 100000\n11630 17363\n6195 9220\n66366 99529\n24554 36745\n38960 58509\n33983 50983\n21276 31857\n30968 46440\n98953 100000\n83155 100000\n83170 100000\n48406 72697\n64692 97055\n19587 29310\n37023 55564\n91371 100000\n51171 76851\n48752 73223\n96184 100000\n26927 40325\n6498 9681\n18073 27008\n86794 100000\n92490 100000\n72413 100000\n45772 68726\n19517 29203\n66606 99887\n89661 100000\n54020 81085\n93009 100000\n75736 100000\n16752 25026\n42810 64298\n12184 18205\n77856 100000\n85095 100000\n21866 32741\n14307 21374\n58718 88161\n6298 9372\n14533 21705\n12550 18753\n32017 48010\n86689 100000\n80768 100000\n80008 100000\n15763 23555\n16913 25266\n25856 38705\n33656 50505\n20490 30681\n55894 83923\n11341 16928\n6326 9413\n81403 100000\n18052 26974\n92645 100000\n60805 91259\n63186 94792\n11701 17470\n29291 43898\n87487 100000\n6795 10115\n59362 89109\n23358 34958\n5713 8516\n86934 100000\n13731 20518\n18617 27824\n16228 24239\n93362 100000\n48974 73561\n27546 41270\n98723 100000\n2982 4439\n2049 3044\n13513 20193\n93238 100000\n61029 91591\n35833 53785\n52800 79257\n69185 100000\n42059 63162\n47389 71180\n67487 100000\n37460 56221\n87801 100000\n97716 100000\n60699 91092\n88952 100000\n92679 100000\n60242 90416\n55973 84042\n55590 83461\n77525 100000\n3065 4559\n48123 72289\n86899 100000\n96909 100000\n87262 100000\n93547 100000\n96114 100000\n13495 20167\n18897 28256\n28526 42753\n7870 11728\n36810 55249\n10471 15600\n15384 22974\n73209 100000\n56571 84934\n84241 100000\n55919 83961\n6989 10410\n32563 48839\n1589 2379\n56652 85059\n97528 100000\n14262 21310\n31596 47385\n71318 100000\n61328 92029\n48665 73090\n2692 4011\n55695 83624\n25189 37712\n90056 100000\n82401 100000\n23862 35711\n37103 55681\n64259 96398\n42631 64034\n5903 8791\n47135 70791\n92457 100000\n74342 100000\n15111 22559\n26532 39728\n62120 93217\n80514 100000\n40393 60647\n16287 24326\n44176 66343\n36443 54697\n49955 75025\n9388 14002\n52747 79183\n25371 37982\n77444 100000\n1215 1811\n83051 100000\n97101 100000\n35921 53916\n78207 100000\n89191 100000\n80045 100000\n73011 100000\n44152 66306\n53131 79741\n45198 67868\n52066 78174\n61202 91842\n28525 42752\n71546 100000\n94374 100000\n56249 84445\n74994 100000\n56707 85143\n79407 100000\n4893 7312\n99306 100000\n37380 56097\n68397 100000\n30805 46198\n88769 100000\n37640 56487\n30077 45079\n45303 68025\n35250 52906\n12631 18877\n87341 100000\n87452 100000\n72499 100000\n55131 82746\n60088 90188\n42424 63736\n22701 33981\n98551 100000\n13857 20704\n17585 26281\n52102 78226\n60137 90264\n10275 15315\n44736 67179\n27200 40735\n24992 37421\n73852 100000\n33559 50356\n37625 56468\n83928 100000\n32108 48148\n25090 37562\n60248 90424\n97059 100000\n72316 100000\n52579 78928\n78706 100000\n9237 13776\n69547 100000\n15416 23019\n23740 35532\n6175 9189\n6929 10321\n78992 100000\n64070 96116\n27135 40643\n90597 100000\n25895 38758\n59797 89754\n90088 100000\n38543 57870\n54803 82260\n9973 14874\n8942 13329\n79368 100000\n11840 17688\n74410 100000\n15828 23654\n21956 32875\n50345 75611\n73899 100000\n19810 29653\n13573 20281\n13897 20766\n46770 70235\n41314 62055\n57068 85681\n674 991\n67916 100000\n33153 49740\n67891 100000\n75219 100000\n86209 100000\n64361 96546\n43901 65933\n22817 34146\n96012 100000\n32343 48503\n24005 35925\n81986 100000\n13340 19940\n66176 99245\n60096 90199\n72961 100000\n98262 100000\n81714 100000\n11561 17261\n47365 71145\n84206 100000\n14117 21091\n97538 100000\n38872 58381\n21139 31649\n20278 30362\n14810 22111\n3085 4590\n95564 100000\n71434 100000\n49421 74233\n17140 25609\n27327 40932\n89330 100000\n30239 45331\n2510 3736\n62813 94254\n51401 77205\n73521 100000\n78745 100000\n67674 100000\n37072 55634\n24732 37022\n89236 100000\n33712 50586\n27064 40536\n83595 100000\n78365 100000\n12839 19190\n89024 100000\n56664 85077\n95165 100000\n79241 100000\n1142 1696\n23727 35510\n91283 100000\n48563 72932\n49511 74367\n44160 66318\n53576 80410\n99559 100000\n53962 80999\n34132 51207\n38295 57490\n67706 100000\n83257 100000\n36892 55366\n53599 80448\n41165 61825\n34533 51815\n16551 24724\n33683 50544\n50227 75429\n4082 6086\n86136 100000\n80389 100000\n3853 5751\n21128 31633\n62178 93307\n99508 100000\n74868 100000\n61158 91783\n11238 16769\n21825 32677\n47054 70664\n52439 78720\n23899 35764\n38198 57333\n53156 79781\n18558 27738\n68428 100000\n34842 52287\n19229 28761\n56690 85118\n93065 100000\n46134 69269\n51079 76710\n32199 48286\n64493 96751\n31268 46887\n27547 41271\n70221 100000\n86286 100000\n88734 100000\n37875 56835\n11383 16994\n88492 100000\n85147 100000\n73585 100000\n78498 100000\n43017 64617\n49098 73748\n63250 94884\n88484 100000\n98469 100000\n302 439\n7162 10675\n25414 38049\n96065 100000\n16307 24357\n19447 29093\n34242 51370\n36258 54428\n38499 57799\n91101 100000\n90303 100000\n67402 100000\n45292 68007\n93389 100000\n1028 1519\n76008 100000\n53365 80100\n83822 100000\n94306 100000\n2698 4019\n65586 98377\n66287 99414\n14900 22238\n81667 100000\n88657 100000\n3613 5383\n82059 100000\n61356 92069\n58752 88209\n66273 99392\n56004 84081\n26976 40401\n96742 100000\n23022 34444\n64442 96669\n32635 48947\n13618 20351\n95472 100000\n63340 95020\n84059 100000\n74898 100000\n6330 9421\n92768 100000\n29431 44107\n35159 52770\n60042 90123\n54742 82170\n18027 26936\n89368 100000\n70680 100000\n73446 100000\n24959 37369\n28545 42778\n60854 91333\n32579 48863\n1992 2957\n37607 56442\n91532 100000\n3341 4963\n76368 100000\n91876 100000\n55945 84000\n52477 78772\n51465 77297\n39204 58875\n45107 67730\n72796 100000\n24985 37410\n64587 96899\n85207 100000\n50420 75725\n25659 38417\n9516 14184\n56955 85516\n61880 92856\n12130 18125\n61535 92342\n85788 100000\n28537 42767\n96004 100000\n60649 91020\n8637 12870\n39984 60039\n80592 100000\n13107 19592\n45467 68263\n4835 7220\n7040 10488\n45014 67591\n82946 100000\n84033 100000\n9721 14486\n19671 29442\n93593 100000\n54990 82540\n70386 100000\n16027 23943\n41020 61605\n32843 49267\n45001 67569\n95569 100000\n96498 100000\n33055 49591\n69412 100000\n37362 56067\n20483 30669\n39986 60041\n46982 70550\n25887 38746\n22891 34254\n444 647\n91089 100000\n2779 4141\n89090 100000\n49650 74572\n7453 11120\n51832 77837\n31751 47610\n92254 100000\n48441 72749\n80835 100000\n27940 41861\n51494 77336\n30748 46111\n35854 53816\n92599 100000\n39350 59095\n79556 100000\n4132 6167\n22607 33843\n39445 59244\n82682 100000\n37406 56139\n83095 100000\n35190 52813\n67599 100000\n55242 82917\n71031 100000\n67205 100000\n13845 20685\n4055 6045\n10832 16159\n49477 74315\n95142 100000\n96781 100000\n59946 89977\n48615 73010\n71579 100000\n93625 100000\n90574 100000\n80817 100000\n62418 93664\n17733 26496\n3594 5351\n44844 67337\n58883 88401\n73014 100000\n10372 15458\n48110 72266\n13874 20731\n32384 48569\n23888 35747\n72821 100000\n32607 48906\n55308 83025\n40867 61372\n6892 10264\n2257 3361\n18253 27284\n89086 100000\n49751 74731\n99787 100000\n16903 25250\n39164 58816\n38502 57804\n29602 44361\n41147 61798\n3304 4909\n73294 100000\n80410 100000\n12165 18179\n21770 32595\n92677 100000\n68215 100000\n60180 90327\n71557 100000\n59068 88674\n95265 100000\n16573 24759\n59898 89904\n78470 100000\n72629 100000\n55094 82693\n56969 85533\n61124 91732\n41768 62731\n72015 100000\n93376 100000\n45595 68457\n85203 100000\n30714 46061\n7832 11676\n17983 26871\n42017 63101\n2531 3768\n33715 50590\n28207 42261\n98024 100000\n67133 100000\n61376 92095\n6688 9953\n26245 39291\n50688 76134\n30736 46093\n85514 100000\n81491 100000\n60624 90984\n46091 69202\n90284 100000\n31405 47099\n56675 85095\n98228 100000\n7787 11609\n85695 100000\n79028 100000\n69288 100000\n22495 33681\n6224 9262\n90515 100000\n55838 83846\n70799 100000\n65282 97924\n37107 55686\n31433 47141\n16334 24399\n76192 100000\n76091 100000\n72845 100000\n70361 100000\n44941 67479\n72076 100000\n56697 85128\n59097 88715\n53285 79977\n39069 58676\n99921 100000\n77389 100000\n48739 73203\n15644 23376\n46268 69476\n71061 100000\n36813 55254\n28352 42478\n67741 100000\n43579 65453\n13568 20273\n34646 51988\n69544 100000\n62582 93909\n93224 100000\n23714 35490\n46681 70101\n67506 100000\n97356 100000\n1555 2325\n6678 9937\n76849 100000\n3064 4557\n69351 100000\n62443 93695\n45779 68738\n40294 60499\n6789 10107\n84959 100000\n20763 31094\n54323 81539\n65745 98609\n41680 62599\n23685 35442\n86250 100000\n71800 100000\n63743 95622\n75802 100000\n4068 6065\n13425 20066\n95968 100000\n54508 81817\n79542 100000\n67057 100000\n97312 100000\n92132 100000\n44643 67036\n37710 56591\n15611 23326\n54923 82437\n83432 100000\n75946 100000\n25662 38422\n48862 73389\n12986 19409\n74791 100000\n16343 24413\n60647 91016\n93610 100000\n41217 61906\n45607 68476\n18395 27494\n87659 100000\n7952 11853\n69983 100000\n96088 100000\n9993 14901\n97305 100000\n56842 85348\n22489 33674\n63578 95374\n24258 36303\n87479 100000\n48939 73508\n7562 11285\n65155 97736\n82577 100000\n38135 57238\n9840 14666\n20123 30123\n59211 88887\n50567 75956\n71132 100000\n81858 100000\n75517 100000\n16732 24995\n44091 66218\n74414 100000\n75337 100000\n22003 32945\n87066 100000\n78346 100000\n75735 100000\n18094 27039\n7884 11752\n19889 29770\n26428 39569\n45350 68092\n19138 28622\n38864 58371\n29475 44167\n68813 100000\n66255 99366\n61377 92096\n98642 100000\n23190 34699\n15373 22955\n11401 17020\n19529 29223\n20670 30950\n74801 100000\n76382 100000\n43441 65263\n31885 47804\n53751 80674\n11201 16712\n31816 47703\n90110 100000\n38314 57520\n49542 74409\n98972 100000\n5081 7598\n89848 100000\n3372 5010\n82709 100000\n58905 88435\n92935 100000\n54430 81698\n1888 2809\n97871 100000\n70626 100000\n39855 59850\n26562 39773\n13086 19563\n77615 100000\n42047 63144\n99902 100000\n53460 80240\n72694 100000\n94468 100000\n8084 12053\n84410 100000\n44202 66381\n62986 94502\n16257 24281\n11311 16882\n93143 100000\n64463 96703\n52433 78711\n95519 100000\n72765 100000\n5928 8827\n98091 100000\n71361 100000\n5591 8330\n15281 22820\n88237 100000\n96081 100000\n21878 32758\n65231 97848\n80868 100000\n45073 67679\n22897 34261\n76910 100000\n23147 34635\n96998 100000\n31403 47095\n97499 100000\n80703 100000\n45013 67589\n48589 72970\n66860 100000\n96248 100000\n78940 100000\n46556 69913\n77632 100000\n69283 100000\n93320 100000\n40513 60837\n45792 68757\n35064 52619\n219 320\n67445 100000\n68279 100000\n29063 43561\n85026 100000\n13722 20503\n56986 85561\n11271 16823\n51704 77645\n10592 15782\n13606 20332\n78353 100000\n20975 31411\n56174 84334\n43827 65820\n24971 37388\n82029 100000\n33804 50725\n56399 84679\n1945 2888\n55009 82566\n49883 74930\n11499 17168\n97209 100000\n25355 37956\n13327 19922\n94493 100000\n22017 32968\n61022 91580\n63816 95740\n41666 62581\n42468 63794\n57946 86988\n93943 100000\n4506 6729\n16606 24806\n48055 72181\n5185 7751\n70939 100000\n15600 23307\n66404 99580\n70029 100000\n9432 14067\n47691 71645\n20932 31347\n42113 63246\n34286 51434\n25504 38180\n58997 88572\n89172 100000\n20832 31195\n2918 4348\n12295 18367\n25267 37828\n18735 28003\n17091 25530\n90158 100000\n26364 39473\n45924 68952\n15173 22655\n93190 100000\n42094 63214\n33682 50543\n76802 100000\n62052 93115\n98591 100000\n21678 32461\n26267 39324\n72998 100000\n9324 13910\n55971 84040\n66847 100000\n32201 48288\n8731 13014\n71121 100000\n28503 42720\n34552 51843\n72773 100000\n53767 80701\n80675 100000\n99312 100000\n88772 100000\n70083 100000\n13559 20258\n62848 94307\n43578 65451\n55382 83138\n76115 100000\n99916 100000\n49958 75030\n54524 81843\n2137 3186\n98680 100000\n31647 47464\n39378 59138\n69512 100000\n48501 72842\n72885 100000\n99872 100000\n29397 44054\n6098 9070\n72540 100000\n77016 100000\n26226 39259\n77089 100000\n94827 100000\n30153 45195\n517 765\n7131 10629\n53931 80952\n38420 57681\n23076 34523\n30683 46018\n22415 33571\n85999 100000\n98672 100000\n27975 41915\n37315 55993\n78773 100000\n18229 27249\n46797 70277\n18339 27413\n42338 63603\n74446 100000\n89426 100000\n34703 52079\n71809 100000\n79583 100000\n23785 35597\n11544 17237\n29523 44238\n66301 99433\n72687 100000\n98847 100000\n77848 100000\n95363 100000\n73350 100000\n82454 100000\n12222 18264\n57722 86650\n91272 100000\n5262 7862\n56073 84191\n78617 100000\n59994 90052\n97670 100000\n47494 71343\n28630 42911\n68311 100000\n80864 100000\n62969 94479\n80534 100000\n50295 75533\n90844 100000\n11112 16584\n70190 100000\n31861 47766\n37642 56490\n73495 100000\n1057 1566\n99355 100000\n16423 24535\n78132 100000\n51692 77627\n97364 100000\n4904 7326\n20961 31391\n90468 100000\n39288 58999\n68723 100000\n17863 26685\n20849 31220\n42502 63844\n39976 60027\n65841 98748\n58067 87175\n59277 88985\n12240 18288\n93714 100000\n78995 100000\n98073 100000\n65907 98847\n27628 41392\n2320 3453\n54790 82238\n11683 17439\n29272 43868\n85468 100000\n88608 100000\n17616 26331\n57593 86465\n23241 34783\n54084 81185\n27485 41171\n97092 100000\n84146 100000\n6448 9603\n96029 100000\n3044 4528\n73068 100000\n70284 100000\n7577 11310\n45921 68947\n84928 100000\n35182 52802\n41820 62813\n45736 68672\n70357 100000\n18552 27728\n55756 83715\n61990 93017\n55152 82781\n55938 83990\n78968 100000\n26180 39189\n66747 100000\n73973 100000\n82531 100000\n960 1420\n95996 100000\n61239 91894\n51137 76801\n84948 100000\n90707 100000\n353 518\n17088 25525\n59757 89694\n66669 99985\n85792 100000\n3658 5452\n17159 25639\n24684 36951\n84781 100000\n48903 73452\n92501 100000\n92083 100000\n78799 100000\n7134 10633\n87176 100000\n67555 100000\n91961 100000\n55910 83948\n40930 61464\n3876 5784\n22945 34332\n24599 36816\n72646 100000\n90752 100000\n51443 77265\n53411 80166\n76458 100000\n89840 100000\n83392 100000\n84379 100000\n14668 21907\n79123 100000\n14371 21464\n11647 17385\n46820 70312\n88508 100000\n89755 100000\n25320 37904\n22620 33861\n57043 85647\n95843 100000\n71270 100000\n20088 30073\n61498 92285\n54991 82542\n72780 100000\n27390 41023\n91916 100000\n21576 32308\n98941 100000\n79640 100000\n3602 5364\n373 546\n69374 100000\n98867 100000\n85583 100000\n63705 95564\n81581 100000\n69089 100000\n73013 100000\n63010 94538\n86557 100000\n54298 81503\n37220 55857\n8477 12633\n27033 40489\n65744 98607\n10061 15001\n56212 84387\n50127 75290\n83268 100000\n98481 100000\n84169 100000\n7119 10610\n72444 100000\n49666 74600\n86587 100000\n75846 100000\n60792 91239\n62913 94402\n16049 23972\n20505 30703\n59080 88691\n20786 31131\n56825 85320\n20194 30228\n53633 80496\n32239 48345\n82544 100000\n11577 17287\n61255 91914\n23677 35431\n5579 8314\n14532 21704\n87300 100000\n24161 36153\n48200 72403\n89624 100000\n66442 99639\n82456 100000\n24936 37331\n49705 74660\n67285 100000\n71830 100000\n78636 100000\n88956 100000\n13460 20117\n31093 46623\n48783 73267\n32684 49025\n54715 82129\n66207 99291\n14920 22267\n93077 100000\n62883 94357\n51344 77114\n54008 81067\n95529 100000\n53239 79912\n51944 77997\n84433 100000\n53000 79559\n69598 100000\n89575 100000\n14272 21322\n69131 100000\n86316 100000\n77862 100000\n25819 38649\n37757 56660\n79758 100000\n88913 100000\n99607 100000\n71341 100000\n63489 95242\n49962 75036\n5712 8515\n93245 100000\n33662 50515\n744 1099\n29454 44137\n71802 100000\n73082 100000\n18816 28131\n12833 19181\n75285 100000\n91342 100000\n22144 33160\n3953 5898\n28288 42381\n16532 24698\n60446 90716\n70502 100000\n83188 100000\n8119 12104\n9554 14233\n34785 52206\n85647 100000\n34528 51807\n80958 100000\n4013 5985\n5883 8763\n77283 100000\n48022 72134\n46558 69915\n85632 100000\n57281 86001\n59282 88994\n64795 97202\n61428 92174\n59700 89612\n35724 53618\n23006 34424\n65999 98984\n28955 43396\n31747 47603\n26918 40313\n29691 44501\n7298 10884\n88790 100000\n94643 100000\n24059 36003\n80992 100000\n91888 100000\n19326 28912\n26671 39935\n13442 20091\n91348 100000\n67906 100000\n65534 98301\n68942 100000\n82875 100000\n19711 29507\n44060 66170\n70457 100000\n17335 25899\n46850 70358\n62211 93357\n61825 92767\n85300 100000\n26601 39831\n78263 100000\n88604 100000\n35051 52597\n96481 100000\n66058 99078\n23757 35553\n54422 81688\n38814 58288\n655 964\n21901 32793\n5349 7989\n22585 33811\n43137 64802\n98258 100000\n49541 74407\n70069 100000\n46749 70202\n14705 21955\n86702 100000\n8429 12559\n61611 92447\n41105 61738\n92503 100000\n79090 100000\n77550 100000\n62767 94186\n21263 31836\n75752 100000\n97484 100000\n67379 100000\n37333 56018\n32601 48897\n4179 6240\n63837 95770\n53353 80081\n7662 11430\n50111 75266\n16441 24561\n68087 100000\n68603 100000\n28368 42502\n85215 100000\n63699 95556\n99938 100000\n19153 28645\n99068 100000\n43900 65932\n84070 100000\n9014 13436\n91036 100000\n22814 34143\n39541 59388\n77778 100000\n93373 100000\n25252 37805\n91565 100000\n23326 34906\n99021 100000\n95825 100000\n37259 55918\n29834 44711\n39578 59440\n32710 49063\n41523 62369\n89331 100000\n99169 100000\n62735 94143\n38041 57089\n62523 93819\n69245 100000\n81056 100000\n34714 52097\n65030 97558\n13725 20507\n46352 69603\n93455 100000\n57644 86538\n71936 100000\n17453 26087\n18138 27111\n51472 77308\n47598 71505\n20032 29988\n56253 84452\n77305 100000\n70905 100000\n14003 20921\n34754 52159\n89282 100000\n83550 100000\n94294 100000\n48347 72610\n93289 100000\n73754 100000\n30844 46257\n46185 69344\n99968 100000\n98818 100000\n25924 38802\n49345 74115\n55836 83844\n1243 1852\n73514 100000\n77527 100000\n77336 100000\n38266 57445\n64348 96526\n40805 61276\n78354 100000\n89942 100000\n78831 100000\n50835 76353\n52744 79179\n92405 100000\n12891 19266\n75776 100000\n30026 45001\n4971 7427\n97627 100000\n60889 91388\n36885 55357\n92564 100000\n79569 100000\n46406 69682\n89777 100000\n10641 15856\n45023 67606\n2079 3091\n40926 61456\n33633 50472\n21931 32838\n43348 65128\n4980 7441\n35487 53258\n56807 85289\n97002 100000\n20256 30324\n88788 100000\n48674 73103\n5211 7789\n87878 100000\n76159 100000\n25709 38492\n72308 100000\n76830 100000\n63614 95427\n66167 99229\n8227 12265\n4841 7227\n96288 100000\n20626 30886\n80094 100000\n30766 46138\n9659 14386\n25167 37677\n34068 51112\n29804 44668\n29391 44046\n77271 100000\n48395 72679\n85183 100000\n12465 18627\n24693 36965\n25787 38602\n35984 54014\n68165 100000\n1461 2178\n99637 100000\n47159 70827\n46732 70179\n78759 100000\n56846 85354\n42438 63754\n25587 38308\n94350 100000\n63823 95752\n74941 100000\n78266 100000\n8616 12839\n90308 100000\n13504 20178\n78050 100000\n38042 57091\n62083 93158\n57022 85615\n12305 18385\n21305 31897\n73828 100000\n21423 32073\n28473 42671\n57800 86768\n74737 100000\n92720 100000\n80055 100000\n81154 100000\n85875 100000\n47970 72058\n45802 68773\n57582 86448\n59381 89139\n53642 80510\n60566 90895\n21959 32879\n13044 19493\n190 273\n91754 100000\n35573 53384\n80353 100000\n5040 7532\n83985 100000\n94690 100000\n83 116\n47967 72054\n96044 100000\n2411 3585\n52135 78277\n64362 96548\n92086 100000\n66777 100000\n97495 100000\n95383 100000\n78949 100000\n42882 64407\n85903 100000\n28119 42122\n42449 63770\n24941 37339\n170 242\n77994 100000\n75677 100000\n67958 100000\n12828 19175\n73703 100000\n55762 83724\n76154 100000\n39299 59014\n97061 100000\n57496 86318\n61647 92504\n39857 59854\n36911 55395\n51396 77197\n81487 100000\n97304 100000\n60054 90139\n56615 84998\n80308 100000\n63838 95771\n72394 100000\n55587 83456\n47005 70588\n69833 100000\n98309 100000\n74926 100000\n59962 90005\n6907 10286\n39955 59996\n37225 55865\n31724 47571\n4530 6772\n39788 59754\n10673 15905\n10868 16214\n76738 100000\n20099 30090\n11476 17134\n72789 100000\n65258 97885\n83125 100000\n84071 100000\n29322 43946\n18630 27838\n48567 72937\n69384 100000\n38383 57628\n48284 72526\n42112 63245\n4583 6852\n80254 100000\n53574 80407\n85458 100000\n69570 100000\n91308 100000\n12675 18942\n96073 100000\n77154 100000\n35957 53971\n47415 71214\n34383 51580\n28743 43073\n43924 65968\n30394 45572\n84022 100000\n300 436\n46539 69888\n49347 74119\n51490 77332\n6163 9170\n63298 94957\n4267 6368\n76060 100000\n39862 59859\n16315 24367\n6191 9215\n36395 54624\n48700 73146\n34824 52262\n87016 100000\n3919 5845\n97615 100000\n83886 100000\n35058 52610\n90796 100000\n19877 29751\n65017 97539\n78410 100000\n8351 12443\n61205 91847\n51541 77405\n85400 100000\n90655 100000\n63476 95221\n82648 100000\n72045 100000\n94200 100000\n10952 16343\n44308 66538\n50955 76524\n87624 100000\n50158 75334\n48477 72802\n67536 100000\n50856 76381\n62268 93446\n83988 100000\n26168 39172\n105 143\n40317 60531\n18044 26961\n60640 91006\n81682 100000\n38136 57239\n39646 59544\n97425 100000\n92523 100000\n20087 30072\n10649 15867\n44887 67399\n17014 25418\n70721 100000\n61748 92651\n50076 75216\n10762 16053\n19999 29936\n58733 88183\n4028 6007\n88248 100000\n81196 100000\n45280 67989\n31184 46759\n95900 100000\n67965 100000\n92945 100000\n82617 100000\n10919 16292\n59605 89472\n42579 63959\n72549 100000\n98373 100000\n54207 81368\n73257 100000\n5365 8009\n93884 100000\n55747 83701\n723 1068\n36060 54133\n93863 100000\n70523 100000\n19836 29690\n17583 26278\n63187 94793\n88298 100000\n12456 18612\n71907 100000\n19598 29328\n58944 88495\n68728 100000\n22371 33502\n27465 41141\n13881 20744\n56692 85121\n65126 97699\n34685 52050\n64216 96332\n72525 100000\n19870 29739\n12904 19281\n14787 22076\n88415 100000\n32409 48607\n79909 100000\n72886 100000\n83397 100000\n14017 20944\n31083 46609\n8899 13264\n24346 36434\n93377 100000\n80293 100000\n3564 5305\n75892 100000\n33405 50124\n90332 100000\n44284 66503\n26080 39037\n57660 86561\n80231 100000\n12202 18231\n75025 100000\n73911 100000\n99128 100000\n43060 64681\n78607 100000\n69470 100000\n79900 100000\n3023 4498\n54950 82478\n61025 91585\n13181 19702\n59935 89960\n47560 71443\n54407 81664\n23353 34951\n31273 46894\n97480 100000\n1313 1957\n30181 45240\n30067 45063\n96743 100000\n50834 76352\n2056 3055\n7231 10781\n40255 60440\n64287 96440\n2486 3694\n98050 100000\n75801 100000\n19957 29869\n97383 100000\n70588 100000\n49592 74487\n52946 79479\n43996 66079\n21785 32615\n52048 78147\n67029 100000\n99759 100000\n31029 46527\n12403 18532\n82671 100000\n48595 72978\n57748 86687\n83654 100000\n15079 22511\n31935 47884\n26092 39057\n48768 73244\n59585 89445\n25293 37863\n51838 77846\n83235 100000\n70266 100000\n68457 100000\n2591 3860\n49637 74555\n48653 73070\n29534 44254\n71506 100000\n27204 40741\n11068 16520\n87889 100000\n67040 100000\n47414 71213\n76017 100000\n95316 100000\n47246 70963\n4299 6419\n98621 100000\n38346 57570\n11389 17002\n75765 100000\n952 1408\n32718 49072\n77491 100000\n79112 100000\n61294 91974\n7750 11554\n35944 53952\n99341 100000\n46949 70501\n60921 91436\n1561 2334\n15007 22396\n22094 33088\n95870 100000\n56936 85488\n67721 100000\n67597 100000\n1726 2573\n37239 55888\n30917 46363\n1322 1972\n40612 60989\n41292 62018\n47794 71799\n87240 100000\n70824 100000\n16024 23939\n31845 47742\n22335 33446\n14871 22195\n33132 49708\n33691 50556\n15135 22596\n77331 100000\n66781 100000\n2908 4335\n99241 100000\n82508 100000\n7916 11798\n62896 94376\n88107 100000\n5896 8783\n80616 100000\n94676 100000\n23884 35742\n44634 67024\n59818 89785\n28219 42279\n98319 100000\n4002 5970\n72104 100000\n5782 8617\n18297 27353\n13199 19728\n31792 47665\n79662 100000\n71909 100000\n62685 94069\n96174 100000\n3580 5330\n95546 100000\n58019 87099\n32982 49478\n71007 100000\n40241 60417\n70510 100000\n34863 52315\n88488 100000\n56803 85285\n20947 31372\n33916 50888\n75151 100000\n50802 76305\n61134 91748\n78924 100000\n83130 100000\n59482 89292\n17224 25737\n90102 100000\n3816 5698\n93073 100000\n12068 18028\n76876 100000\n39533 59376\n31182 46757\n74135 100000\n60362 90587\n4277 6383\n20537 30749\n10838 16170\n35318 53004\n26431 39573\n4358 6505\n95034 100000\n70058 100000\n20562 30788\n92470 100000\n67693 100000\n9373 13980\n2803 4176\n51565 77437\n8139 12136\n85494 100000\n26187 39200\n92225 100000\n63162 94759\n13269 19837\n60138 90265\n34115 51182\n12780 19110\n81225 100000\n25213 37745\n97154 100000\n32936 49415\n58303 87527\n29413 44077\n27722 41535\n24356 36450\n93563 100000\n61452 92214\n71643 100000\n41376 62146\n66818 100000\n50134 75299\n36466 54729\n49346 74117\n22206 33255\n52974 79522\n6958 10364\n12785 19116\n32232 48333\n90818 100000\n43424 65238\n52124 78260\n68789 100000\n81203 100000\n30682 46017\n17854 26668\n96219 100000\n65206 97811\n34244 51374\n99978 100000\n64395 96598\n64144 96223\n51557 77427\n48968 73551\n50707 76162\n921 1360\n41372 62140\n51512 77363\n98601 100000\n31618 47418\n59643 89528\n1611 2408\n83300 100000\n24977 37397\n47293 71032\n5539 8258\n66687 100000\n63507 95268\n49851 74882\n62947 94450\n23486 35154\n88992 100000\n56247 84442\n67122 100000\n85267 100000\n38825 58307\n53415 80172\n93939 100000\n89975 100000\n29517 44228\n13350 19954\n50001 75098\n48443 72752\n37234 55881\n33643 50488\n18971 28368\n41493 62318\n34814 52247\n47618 71536\n59861 89848\n29379 44029\n97540 100000\n86450 100000\n47997 72096\n29493 44196\n80735 100000\n55991 84063\n92602 100000\n91554 100000\n91009 100000\n9194 13706\n4387 6551\n14572 21761\n25486 38155\n68122 100000\n8927 13306\n56467 84780\n91215 100000\n12316 18401\n91846 100000\n42224 63418\n44032 66130\n75058 100000\n23912 35784\n80430 100000\n94390 100000\n85202 100000\n22320 33427\n89993 100000\n71169 100000\n48205 72409\n81690 100000\n5954 8868\n29816 44685\n48096 72245\n2567 3821\n35675 53537\n83152 100000\n95765 100000\n52303 78523\n49859 74892\n95623 100000\n38818 58294\n74736 100000\n58080 87194\n75861 100000\n89889 100000\n14581 21771\n45273 67979\n71399 100000\n32111 48153\n67968 100000\n91150 100000\n60298 90493\n63944 95930\n89204 100000\n12754 19074\n81100 100000\n28075 42060\n34881 52341\n29611 44374\n81377 100000\n4048 6033\n22605 33840\n53925 80943\n65701 98537\n70520 100000\n9776 14577\n47451 71270\n15260 22786\n33330 50010\n78096 100000\n34613 51937\n16157 24134\n39211 58884\n33594 50408\n26992 40427\n36031 54086\n76297 100000\n60817 91278\n50398 75689\n76345 100000\n706 1039\n73046 100000\n20120 30120\n12878 19246\n62505 93793\n43908 65943\n12255 18308\n46532 69877\n47521 71382\n71959 100000\n40782 61245\n27190 40721\n59854 89838\n55671 83588\n4131 6166\n63152 94743\n416 608\n52239 78429\n22001 32942\n59086 88698\n74123 100000\n16892 25235\n60163 90304\n27787 41632\n81490 100000\n66317 99458\n59154 88803\n30515 45761\n27939 41859\n83508 100000\n36364 54582\n39685 59598\n41868 62882\n68436 100000\n19445 29090\n18794 28098\n68239 100000\n88556 100000\n52938 79468\n80401 100000\n54729 82149\n20311 30418\n64822 97244\n21028 31487\n82138 100000\n82952 100000\n12729 19033\n98743 100000\n43911 65948\n3455 5136\n59374 89129\n24911 37294\n86926 100000\n83670 100000\n48521 72870\n52592 78945\n35551 53351\n93608 100000\n91378 100000\n3700 5517\n89185 100000\n27885 41780\n66378 99545\n26641 39893\n48438 72745\n26974 40399\n89337 100000\n90848 100000\n25157 37661\n73729 100000\n91869 100000\n86887 100000\n92073 100000\n48447 72758\n87461 100000\n71724 100000\n62338 93550\n98930 100000\n34804 52232\n50536 75914\n86674 100000\n9724 14491\n38077 57146\n76353 100000\n2132 3177\n42173 63335\n60812 91269\n73975 100000\n95590 100000\n38721 58141\n87417 100000\n11466 17121\n47408 71205\n39335 59069\n44264 66474\n11371 16975\n5059 7563\n93280 100000\n75279 100000\n85257 100000\n39635 59528\n5118 7650\n580 850\n9536 14211\n68114 100000\n92133 100000\n67085 100000\n57583 86450\n48405 72695\n29819 44690\n88692 100000\n91779 100000\n50998 76588\n98546 100000\n33486 50243\n89619 100000\n39198 58867\n34631 51965\n15539 23208\n73189 100000\n27179 40707\n50510 75868\n15430 23039\n17950 26822\n17189 25688\n26502 39682\n26592 39818\n86527 100000\n40632 61023\n26137 39125\n82458 100000\n74435 100000\n15764 23556\n61243 91899\n68663 100000\n34514 51786\n22146 33164\n21693 32483\n37146 55746\n68033 100000\n45401 68168\n54305 81513\n9426 14060\n3888 5800\n92312 100000\n39926 59955\n1392 2073\n63302 94963\n9789 14594\n78701 100000\n81089 100000\n37010 55544\n89843 100000\n5163 7716\n11241 16773\n27605 41359\n4870 7274\n80049 100000\n61196 91834\n58323 87557\n2028 3011\n69702 100000\n59110 88734\n14620 21831\n99302 100000\n20663 30941\n58766 88227\n71647 100000\n46306 69535\n91800 100000\n87360 100000\n87150 100000\n52470 78763\n12380 18499\n30879 46308\n61644 92500\n52882 79381\n38281 57468\n76742 100000\n32814 49221\n53048 79623\n83481 100000\n15062 22484\n80551 100000\n40327 60546\n4537 6784\n57889 86905\n52455 78743\n40098 60202\n32737 49101\n45982 69039\n36205 54350\n90127 100000\n34045 51083\n17753 26519\n40435 60713\n5134 7677\n47407 71204\n70774 100000\n49898 74947\n33007 49520\n73325 100000\n20746 31069\n89717 100000\n20572 30803\n97096 100000\n46554 69910\n90184 100000\n12186 18209\n34541 51826\n42898 64433\n20530 30741\n56229 84413\n15052 22469\n84768 100000\n2254 3357\n43991 66072\n65669 98491\n6862 10215\n74615 100000\n59670 89568\n63401 95107\n12168 18183\n42010 63091\n49862 74896\n32961 49450\n12484 18652\n30896 46333\n35077 52638\n38946 58488\n35324 53013\n90458 100000\n55749 83705\n89178 100000\n85590 100000\n70945 100000\n91644 100000\n99272 100000\n25029 37473\n68344 100000\n18088 27032\n6204 9231\n30453 45665\n30518 45766\n41087 61710\n16808 25111\n14387 21489\n1848 2752\n32967 49458\n26892 40270\n42495 63834\n67145 100000\n30644 45957\n60280 90468\n72154 100000\n60995 91538\n36602 54927\n81596 100000\n29672 44473\n85502 100000\n78895 100000\n91982 100000\n22297 33390\n41915 62953\n39119 58747\n60602 90951\n15090 22526\n81805 100000\n70120 100000\n20045 30007\n92484 100000\n27827 41690\n12313 18396\n1927 2864\n74572 100000\n19140 28625\n1568 2347\n3710 5532\n58665 88079\n73 105\n44718 67150\n55683 83608\n20675 30957\n18441 27564\n54792 82242\n25441 38089\n98582 100000\n58781 88245\n25359 37963\n79773 100000\n77879 100000\n16776 25064\n89277 100000\n48473 72796\n95988 100000\n47515 71372\n21595 32336\n97606 100000\n45142 67781\n52737 79169\n72395 100000\n84746 100000\n39301 59018\n81042 100000\n18612 27815\n73819 100000\n85962 100000\n2620 3905\n25921 38797\n7583 11318\n44990 67551\n75433 100000\n31710 47551\n71423 100000\n15835 23663\n15074 22502\n78203 100000\n59253 88946\n6285 9353\n47720 71690\n74769 100000\n93168 100000\n85078 100000\n56839 85344\n30236 45326\n70087 100000\n99874 100000\n88409 100000\n53757 80684\n60404 90653\n7893 11765\n56034 84129\n45857 68850\n35865 53833\n87136 100000\n95566 100000\n13502 20176\n36663 55024\n6189 9212\n77517 100000\n46550 69905\n89455 100000\n88185 100000\n79124 100000\n67592 100000\n66824 100000\n35550 53350\n2169 3231\n85260 100000\n83623 100000\n51931 77977\n8305 12374\n5200 7770\n55276 82974\n56991 85570\n77976 100000\n81108 100000\n53862 80850\n75125 100000\n87254 100000\n53499 80297\n16978 25359\n87923 100000\n31305 46944\n85422 100000\n58534 87876\n532 787\n17841 26648\n38285 57474\n19821 29671\n11949 17847\n7907 11784\n21439 32098\n27346 40959\n13588 20302\n39014 58592\n93279 100000\n566 833\n80604 100000\n2537 3778\n93413 100000\n23051 34487\n81241 100000\n98388 100000\n42043 63139\n52629 79008\n12452 18606\n44796 67268\n42432 63745\n68361 100000\n28942 43378\n39570 59429\n60749 91169\n98238 100000\n481 711\n46110 69232\n42269 63491\n24159 36151\n40706 61132\n74764 100000\n46050 69136\n63220 94841\n7235 10787\n32795 49191\n53714 80617\n97926 100000\n52045 78144\n58963 88520\n31615 47413\n2929 4363\n32090 48121\n37727 56617\n29750 44586\n75891 100000\n15518 23175\n23182 34689\n80642 100000\n20760 31089\n118 161\n47194 70880\n70072 100000\n43528 65379\n53 77\n34592 51909\n71188 100000\n57752 86692\n46137 69273\n97401 100000\n55036 82603\n83239 100000\n52827 79298\n54877 82367\n61790 92719\n67106 100000\n37933 56925\n45136 67774\n37110 55691\n32883 49337\n46542 69891\n99798 100000\n99266 100000\n42116 63250\n60315 90519\n53706 80607\n47240 70952\n97856 100000\n21333 31933\n53478 80267\n77376 100000\n86353 100000\n65300 97953\n67395 100000\n31650 47468\n48182 72374\n17420 26035\n19773 29599\n57033 85632\n30457 45672\n75747 100000\n98084 100000\n63308 94972\n59722 89643\n19143 28630\n97968 100000\n95340 100000\n37218 55854\n29923 44841\n99970 100000\n25046 37496\n47141 70800\n82286 100000\n86236 100000\n99492 100000\n27958 41887\n24025 35955\n38183 57308\n53853 80835\n12591 18818\n90457 100000\n38683 58086\n81518 100000\n54412 81673\n94681 100000\n75258 100000\n28343 42467\n31784 47654\n32894 49352\n84630 100000\n20186 30216\n11480 17139\n90943 100000\n24250 36289\n41515 62357\n59079 88690\n11130 16610\n2507 3731\n13344 19945\n91534 100000\n5158 7709\n15055 22473\n59341 89079\n80727 100000\n132 185\n56396 84674\n55852 83865\n92573 100000\n83238 100000\n81627 100000\n27454 41124\n54526 81847\n75314 100000\n75067 100000\n89710 100000\n4882 7293\n77168 100000\n17216 25726\n29589 44339\n78437 100000\n90342 100000\n32252 48361\n99165 100000\n32577 48859\n22665 33928\n55782 83757\n3967 5919\n3156 4697\n98686 100000\n54507 81816\n58050 87148\n8752 13040\n63480 95227\n93697 100000\n90813 100000\n44537 66883\n21551 32268\n12269 18327\n49163 73842\n24976 37396\n85547 100000\n75529 100000\n12814 19155\n32670 49003\n32578 48861\n65329 97996\n33033 49560\n99058 100000\n70050 100000\n85233 100000\n11953 17852\n94575 100000\n97504 100000\n17031 25439\n67697 100000\n18427 27543\n58858 88366\n45593 68454\n31070 46588\n80479 100000\n67492 100000\n74269 100000\n19850 29710\n13577 20288\n69631 100000\n93305 100000\n14323 21398\n21148 31664\n25543 38239\n33849 50792\n70388 100000\n15558 23239\n71944 100000\n9597 14295\n10965 16367\n26117 39095\n89258 100000\n71362 100000\n27802 41653\n27809 41662\n1868 2778\n39248 58934\n80075 100000\n95385 100000\n33606 50426\n72893 100000\n89098 100000\n96287 100000\n4228 6309\n77382 100000\n82989 100000\n21431 32084\n65637 98440\n34532 51813\n1813 2698\n83753 100000\n26912 40304\n82085 100000\n44673 67080\n74108 100000\n5541 8262\n63392 95095\n63490 95244\n47956 72036\n47616 71533\n12415 18548\n10679 15914\n9027 13458\n64256 96393\n340 498\n98733 100000\n65487 98232\n51667 77586\n19927 29824\n79951 100000\n24407 36521\n46396 69667\n57355 86114\n90895 100000\n37075 55639\n82302 100000\n45820 68800\n10081 15035\n33781 50692\n34067 51111\n60286 90476\n5480 8172\n21279 31862\n67314 100000\n70579 100000\n73575 100000\n40245 60424\n70580 100000\n1560 2333\n80287 100000\n15803 23614\n90627 100000\n83431 100000\n34390 51593\n52491 78793\n33599 50415\n43113 64762\n44173 66337\n35269 52933\n41829 62826\n74974 100000\n85793 100000\n73946 100000\n9504 14166\n83788 100000\n4721 7046\n86153 100000\n51943 77996\n79786 100000\n6931 10323\n54441 81715\n22782 34095\n48837 73351\n11288 16848\n81850 100000\n61043 91612\n73860 100000\n44698 67120\n6888 10258\n23905 35773\n85126 100000\n57456 86256\n92576 100000\n40715 61146\n41009 61586\n27851 41724\n45377 68130\n60405 90654\n17340 25907\n54277 81472\n3009 4478\n98935 100000\n86063 100000\n14599 21798\n35030 52567\n25340 37935\n1869 2780\n71706 100000\n85132 100000\n35526 53318\n48996 73594\n96989 100000\n93395 100000\n66986 100000\n12299 18373\n12034 17973\n62006 93042\n32249 48357\n11646 17383\n43161 64840\n44324 66564\n34634 51971\n10700 15950\n99533 100000\n79150 100000\n32739 49105\n78125 100000\n55574 83435\n46984 70554\n64680 97038\n80414 100000\n88169 100000\n41809 62794\n69540 100000\n4927 7360\n94624 100000\n2965 4412\n94577 100000\n64582 96891\n16146 24120\n33935 50917\n67311 100000\n35463 53219\n18228 27248\n69683 100000\n3922 5848\n14708 21959\n88083 100000\n7102 10585\n76433 100000\n436 635\n78138 100000\n74570 100000\n83568 100000\n29709 44525\n26654 39912\n83098 100000\n77532 100000\n93311 100000\n66480 99699\n69568 100000\n27242 40801\n54529 81850\n79408 100000\n90334 100000\n25844 38687\n74839 100000\n77643 100000\n86289 100000\n5892 8776\n7757 11564\n79629 100000\n46929 70469\n51947 78002\n6341 9441\n13564 20266\n85184 100000\n89399 100000\n5660 8436\n17693 26438\n65920 98867\n91014 100000\n73824 100000\n42692 64120\n6329 9419\n40404 60663\n63560 95347\n56187 84353\n35197 52824\n96141 100000\n51172 76853\n81163 100000\n57450 86247\n80167 100000\n78403 100000\n39870 59870\n23248 34792\n48458 72773\n6518 9706\n108 148\n93703 100000\n99107 100000\n73288 100000\n28355 42484\n2273 3385\n40942 61483\n80747 100000\n83619 100000\n60826 91293\n76318 100000\n34898 52364\n26063 39012\n13275 19848\n33831 50764\n89735 100000\n14391 21495\n67427 100000\n36673 55039\n2858 4259\n29172 43722\n68496 100000\n99462 100000\n28037 42001\n87788 100000\n59480 89289\n61573 92395\n68967 100000\n67568 100000\n33896 50862\n18386 27479\n98407 100000\n800 1181\n9680 14421\n51000 76591\n76003 100000\n95073 100000\n58257 87458\n95523 100000\n26173 39179\n69799 100000\n26246 39293\n18210 27219\n47708 71672\n59421 89197\n30463 45680\n6145 9145\n38061 57119\n85518 100000\n10990 16401\n31621 47423\n61719 92612\n25897 38761\n74054 100000\n94355 100000\n17800 26591\n90921 100000\n11352 16947\n47256 70978\n37740 56636\n36186 54324\n83706 100000\n62031 93083\n20222 30270\n89847 100000\n75099 100000\n65436 98153\n62094 93175\n78455 100000\n95556 100000\n60618 90976\n26235 39274\n58715 88157\n19032 28455\n98317 100000\n72988 100000\n74348 100000\n35959 53974\n35767 53682\n83327 100000\n98222 100000\n89246 100000\n91571 100000\n47611 71525\n81461 100000\n51586 77469\n44933 67465\n99188 100000\n10781 16083\n71814 100000\n8116 12100\n47865 71903\n56037 84134\n18737 28006\n75969 100000\n63625 95443\n69241 100000\n41765 62727\n58892 88417\n50621 76042\n87833 100000\n20117 30115\n90150 100000\n6813 10143\n77400 100000\n924 1363\n47066 70682\n7732 11528\n33301 49960\n25765 38570\n62467 93734\n31279 46904\n26536 39734\n64380 96577\n92058 100000\n17223 25735\n45835 68823\n93004 100000\n65511 98267\n79126 100000\n23143 34628\n83321 100000\n7694 11477\n31224 46822\n73292 100000\n34223 51346\n47703 71664\n25581 38300\n53022 79591\n68927 100000\n86466 100000\n13249 19805\n54299 81504\n57182 85860\n1770 2638\n3807 5685\n89997 100000\n36162 54287\n44394 66671\n13063 19521\n80668 100000\n3344 4968\n35217 52855\n40466 60762\n78754 100000\n3399 5050\n26966 40387\n62188 93319\n70787 100000\n1628 2432\n45519 68333\n77786 100000\n86719 100000\n75883 100000\n2447 3638\n47981 72075\n53205 79854\n16857 25182\n99147 100000\n40837 61326\n94582 100000\n10793 16104\n35501 53276\n6921 10308\n21961 32883\n53562 80388\n68135 100000\n49789 74786\n77639 100000\n27060 40530\n44345 66593\n56930 85481\n59548 89386\n98934 100000\n74951 100000\n42994 64584\n20232 30286\n86475 100000\n85352 100000\n41244 61945\n72200 100000\n62468 93736\n34996 52516\n3277 4873\n77483 100000\n72199 100000\n29117 43638\n12148 18154\n80856 100000\n70064 100000\n19535 29231\n50228 75430\n26457 39612\n99815 100000\n48107 72262\n31749 47607\n61968 92985\n24257 36302\n24987 37412\n5054 7554\n10461 15587\n87075 100000\n68495 100000\n24802 37124\n41352 62111\n65286 97930\n36481 54750\n91291 100000\n63374 95068\n55272 82966\n97576 100000\n57433 86225\n29844 44725\n42709 64145\n82434 100000\n84842 100000\n95066 100000\n7152 10661\n14079 21033\n32309 48450\n99428 100000\n39721 59652\n32276 48399\n22142 33157\n13151 19658\n27325 40928\n3615 5387\n78911 100000\n34853 52303\n87293 100000\n55935 83986\n49386 74181\n19413 29040\n74606 100000\n95231 100000\n2861 4263\n50003 75101\n25329 37917\n43019 64620\n41725 62668\n28429 42601\n99914 100000\n52881 79379\n5714 8518\n43206 64913\n82976 100000\n26490 39666\n13974 20879\n79075 100000\n74595 100000\n11652 17393\n54870 82356\n32997 49504\n20930 31345\n23017 34438\n48728 73186\n65930 98880\n21287 31872\n70168 100000\n97160 100000\n14580 21770\n41895 62923\n66614 99901\n12796 19132\n77464 100000\n29029 43507\n89601 100000\n4215 6290\n15343 22910\n73652 100000\n23384 35000\n67858 100000\n48074 72210\n20491 30682\n63136 94723\n49577 74464\n5295 7912\n89478 100000\n19733 29538\n35309 52989\n58706 88141\n70915 100000\n81397 100000\n47922 71984\n74387 100000\n20047 30011\n90687 100000\n72 103\n47399 71192\n25234 37776\n96145 100000\n26785 40110\n39915 59936\n90305 100000\n50380 75660\n90460 100000\n63326 94999\n26291 39359\n31600 47391\n95873 100000\n96828 100000\n16531 24696\n34147 51229\n73457 100000\n47869 71909\n35513 53296\n1477 2204\n75611 100000\n10212 15221\n82588 100000\n1209 1802\n91898 100000\n39924 59951\n77046 100000\n28765 43105\n16656 24879\n24249 36287\n58348 87590\n17853 26666\n97994 100000\n22296 33389\n96831 100000\n61358 92072\n77429 100000\n18610 27813\n61126 91736\n9580 14269\n35384 53098\n98185 100000\n77126 100000\n54181 81331\n28329 42446\n75732 100000\n28461 42653\n42986 64573\n62784 94212\n7352 10972\n90348 100000\n82536 100000\n44372 66638\n20243 30304\n60473 90756\n31587 47374\n89730 100000\n85455 100000\n88291 100000\n23842 35685\n79447 100000\n43029 64636\n92208 100000\n41557 62422\n67985 100000\n64707 97075\n14106 21075\n3783 5645\n93674 100000\n63360 95050\n32102 48139\n69894 100000\n23959 35856\n95845 100000\n73858 100000\n62115 93209\n62420 93667\n31446 47158\n17509 26173\n35479 53244\n25654 38408\n65351 98028\n50534 75910\n16644 24861\n13161 19671\n11252 16790\n40967 61520\n63279 94927\n23078 34527\n1012 1494\n68884 100000\n71782 100000\n46124 69253\n41894 62922\n72034 100000\n51085 76720\n47995 72094\n23597 35311\n27759 41592\n86254 100000\n14169 21174\n12281 18344\n14346 21430\n74528 100000\n56300 84526\n72377 100000\n98449 100000\n5335 7971\n62099 93183\n33693 50559\n91542 100000\n61956 92968\n39992 60051\n79144 100000\n79058 100000\n80108 100000\n80557 100000\n23290 34852\n9124 13603\n93085 100000\n94992 100000\n40619 61000\n99111 100000\n87638 100000\n87749 100000\n90271 100000\n92572 100000\n10400 15498\n50677 76118\n37653 56506\n76700 100000\n1188 1767\n4890 7306\n13723 20504\n65394 98092\n6681 9942\n2208 3287\n18919 28288\n62492 93773\n24863 37218\n27105 40598\n78690 100000\n13675 20435\n1053 1559\n14867 22190\n82470 100000\n66906 100000\n20863 31244\n42002 63080\n62114 93207\n6815 10145\n46077 69180\n60399 90645\n18477 27616\n3833 5722\n8093 12067\n37882 56846\n8099 12074\n29912 44826\n92218 100000\n8667 12916\n55730 83676\n83784 100000\n22486 33670\n58974 88536\n54312 81524\n42280 63508\n25597 38324\n89499 100000\n71493 100000\n5530 8244\n44572 66929\n66269 99386\n3698 5514\n98663 100000\n59869 89859\n69527 100000\n89184 100000\n32797 49194\n26170 39175\n1796 2672\n85135 100000\n63965 95960\n93672 100000\n65400 98102\n32251 48359\n49878 74921\n53885 80884\n15564 23248\n45590 68449\n7584 11320\n26113 39090\n93171 100000\n41589 62466\n45719 68649\n50136 75303\n58720 88164\n46957 70515\n26375 39491\n30901 46341\n60734 91147\n95364 100000\n21605 32353\n43160 64839\n77129 100000\n32582 48868\n98667 100000\n44352 66606\n23330 34913\n34025 51050\n17483 26134\n62107 93196\n56904 85444\n67447 100000\n61712 92600\n6779 10090\n77421 100000\n60725 91134\n72133 100000\n10708 15965\n43931 65979\n28238 42309\n84334 100000\n42578 63957\n44426 66723\n79295 100000\n58334 87573\n36937 55432\n45948 68988\n22979 34385\n8766 13060\n96013 100000\n29992 44947\n76938 100000\n72523 100000\n89035 100000\n39964 60009\n77472 100000\n13414 20053\n48759 73234\n32595 48888\n52362 78609\n13886 20752\n49872 74911\n78213 100000\n76421 100000\n93825 100000\n10219 15232\n33688 50551\n15738 23515\n36677 55045\n80548 100000\n16743 25011\n18745 28019\n83651 100000\n77067 100000\n34954 52452\n35946 53956\n39859 59856\n9067 13515\n33099 49657\n57471 86278\n15687 23441\n91484 100000\n57934 86972\n57460 86262\n49289 74032\n83780 100000\n64477 96727\n40010 60077\n62332 93540\n63627 95446\n18802 28111\n46619 70008\n25380 37996\n92714 100000\n41526 62372\n8379 12488\n23672 35424\n90881 100000\n95100 100000\n55395 83158\n84435 100000\n18993 28403\n70381 100000\n334 489\n52305 78526\n19058 28496\n86441 100000\n43232 64950\n26971 40394\n93214 100000\n42981 64566\n68454 100000\n25281 37846\n34820 52257\n91665 100000\n32549 48817\n8683 12943\n85670 100000\n19906 29794\n66822 100000\n81592 100000\n7026 10464\n23018 34439\n46163 69310\n47128 70780\n45933 68966\n87475 100000\n65691 98521\n96460 100000\n58777 88239\n44662 67064\n70873 100000\n94835 100000\n83007 100000\n23221 34751\n15374 22956\n13230 19775\n64694 97058\n38998 58569\n87724 100000\n31112 46650\n64524 96799\n59493 89308\n47670 71615\n80977 100000\n1696 2529\n7104 10587\n82605 100000\n88451 100000\n48810 73312\n49005 73609\n12738 19048\n35387 53102\n24546 36734\n95266 100000\n17029 25437\n8176 12192\n83836 100000\n15490 23128\n47929 71993\n30697 46037\n89052 100000\n12714 19009\n16631 24842\n52170 78329\n16937 25300\n94076 100000\n18743 28017\n98707 100000\n62169 93292\n20159 30176\n28951 43390\n14060 21005\n63873 95824\n56061 84173\n25772 38579\n85087 100000\n35858 53823\n10472 15602\n68017 100000\n45632 68516\n6289 9358\n68306 100000\n18932 28307\n77425 100000\n39556 59407\n17144 25617\n12852 19208\n6114 9094\n38724 58146\n1546 2312\n88751 100000\n32157 48224\n75775 100000\n71252 100000\n57677 86585\n40487 60794\n97934 100000\n48699 73144\n52161 78317\n52155 78306\n68846 100000\n47639 71567\n78675 100000\n66303 99436\n98612 100000\n1586 2375\n64849 97285\n88262 100000\n57713 86637\n85601 100000\n40244 60423\n76662 100000\n1916 2848\n68820 100000\n26553 39761\n35975 54001\n36279 54456\n91720 100000\n92166 100000\n20952 31378\n71470 100000\n33379 50089\n84054 100000\n93080 100000\n56732 85176\n49989 75079\n8054 12008\n13335 19933\n30954 46422\n25862 38712\n18624 27831\n82214 100000\n59297 89012\n71852 100000\n49950 75018\n78142 100000\n41769 62732\n79580 100000\n83923 100000\n57312 86050\n42061 63165\n95348 100000\n52983 79534\n45664 68564\n1500 2242\n64239 96369\n23497 35170\n94385 100000\n26537 39736\n26190 39204\n3284 4882\n51580 77459\n68731 100000\n3436 5108\n13822 20653\n92782 100000\n18803 28113\n46317 69552\n53773 80710\n21111 31607\n98563 100000\n47958 72039\n34003 51014\n35323 53011\n58230 87415\n99853 100000\n71130 100000\n6800 10122\n82216 100000\n72057 100000\n38900 58423\n72830 100000\n74530 100000\n2862 4264\n22398 33541\n77119 100000\n62570 93890\n39722 59654\n98906 100000\n67635 100000\n23111 34581\n18751 28030\n45093 67709\n52398 78661\n16740 25006\n10994 16409\n6395 9519\n78666 100000\n8870 13220\n30743 46104\n90588 100000\n4776 7129\n84994 100000\n15731 23503\n97172 100000\n60538 90853\n90400 100000\n83295 100000\n73266 100000\n66873 100000\n335 491\n40655 61052\n2107 3138\n34393 51596\n33267 49907\n70904 100000\n12648 18900\n19652 29414\n23389 35007\n99073 100000\n64992 97501\n87509 100000\n80238 100000\n12811 19152\n76555 100000\n93476 100000\n45011 67587\n54373 81611\n45983 69041\n14267 21315\n46697 70127\n10510 15658\n78378 100000\n91211 100000\n68036 100000\n64231 96355\n28132 42141\n72617 100000\n11502 17173\n2184 3253\n25487 38156\n4269 6371\n6772 10078\n13691 20459\n10313 15376\n50404 75699\n53292 79989\n15635 23362\n46031 69113\n30469 45688\n16831 25145\n33890 50852\n25169 37679\n57640 86531\n66859 100000\n37204 55833\n92401 100000\n2646 3943\n7651 11415\n93026 100000\n70001 100000\n86361 100000\n47401 71194\n41148 61799\n16910 25262\n63149 94740\n24956 37364\n99560 100000\n8035 11980\n25145 37643\n34560 51857\n46081 69187\n28306 42407\n52712 79132\n88668 100000\n10905 16268\n31762 47625\n24365 36464\n49686 74631\n51612 77512\n69619 100000\n86067 100000\n18471 27608\n69234 100000\n62106 93195\n6747 10042\n78108 100000\n66730 100000\n65668 98489\n95013 100000\n61164 91791\n23961 35860\n54671 82062\n91145 100000\n47042 70646\n45299 68019\n73763 100000\n96319 100000\n85888 100000\n73942 100000\n75721 100000\n68353 100000\n5737 8551\n63600 95407\n76149 100000\n38809 58281\n46795 70273\n39779 59741\n49340 74108\n62691 94077\n37216 55851\n52821 79288\n70217 100000\n77653 100000\n90137 100000\n8026 11964\n80053 100000\n66560 99817\n54759 82196\n98376 100000\n49490 74334\n41630 62528\n9073 13525\n41308 62044\n96212 100000\n93418 100000\n88755 100000\n38542 57869\n11987 17903\n62709 94101\n10074 15023\n1871 2783\n39736 59675\n30081 45083\n70086 100000\n87453 100000\n59338 89075\n96545 100000\n31954 47912\n15609 23323\n13552 20248\n71682 100000\n53449 80226\n24687 36956\n2057 3056\n54767 82207\n12137 18136\n74091 100000\n68084 100000\n53249 79926\n49016 73625\n76334 100000\n10203 15209\n57725 86654\n41325 62072\n60700 91093\n37872 56831\n61061 91641\n68077 100000\n55141 82763\n8754 13043\n4968 7422\n27340 40953\n91635 100000\n40939 61478\n45409 68182\n67691 100000\n60186 90336\n69068 100000\n28808 43174\n47119 70765\n2278 3394\n81146 100000\n1350 2014\n73160 100000\n50175 75356\n94792 100000\n12985 19407\n46261 69464\n96483 100000\n24473 36625\n79645 100000\n62491 93771\n36318 54514\n98924 100000\n69115 100000\n37807 56735\n83315 100000\n39590 59460\n20382 30524\n74222 100000\n69005 100000\n40288 60490\n71293 100000\n20130 30135\n5184 7749\n69764 100000\n22426 33586\n10488 15625\n10826 16151\n77604 100000\n57824 86806\n89893 100000\n69930 100000\n89018 100000\n53129 79737\n94715 100000\n48341 72603\n11798 17622\n43871 65885\n74330 100000\n12333 18428\n86697 100000\n73247 100000\n20799 31153\n30548 45808\n14658 21890\n59588 89450\n69921 100000\n43462 65292\n29142 43672\n90851 100000\n55731 83678\n90130 100000\n67816 100000\n68032 100000\n90606 100000\n83862 100000\n48309 72560\n17551 26231\n47526 71389\n29660 44452\n10956 16351\n55994 84067\n91698 100000\n42883 64409\n27304 40894\n17534 26206\n56016 84101\n13291 19871\n73878 100000\n70065 100000\n92302 100000\n24889 37259\n48625 73025\n33377 50086\n94298 100000\n82838 100000\n25802 38624\n8319 12396\n98932 100000\n74851 100000\n91723 100000\n11396 17013\n98229 100000\n18995 28405\n94081 100000\n86994 100000\n39835 59822\n22349 33468\n73006 100000\n99766 100000\n86433 100000\n20212 30254\n58056 87157\n38398 57648\n35746 53652\n86170 100000\n41676 62593\n9168 13668\n2092 3113\n29623 44392\n69961 100000\n49237 73956\n92734 100000\n57333 86081\n93088 100000\n15839 23668\n45635 68520\n95758 100000\n15295 22841\n75207 100000\n23123 34599\n30183 45244\n62539 93843\n76002 100000\n19827 29680\n25759 38562\n91078 100000\n50369 75645\n67303 100000\n25381 37997\n3410 5067\n75405 100000\n61775 92694\n30720 46068\n51305 77055\n86266 100000\n45509 68318\n93222 100000\n69246 100000\n76980 100000\n46461 69766\n51540 77404\n15391 22983\n92148 100000\n95197 100000\n91944 100000\n35818 53762\n33271 49912\n83066 100000\n75717 100000\n41024 61612\n69337 100000\n70245 100000\n35965 53984\n31903 47832\n48171 72357\n34878 52337\n67851 100000\n44145 66295\n62646 94008\n52621 78995\n85577 100000\n11884 17751\n37604 56436\n49994 75088\n51582 77463\n76189 100000\n39009 58585\n35737 53638\n59978 90028\n12196 18222\n71258 100000\n804 1188\n9875 14721\n12361 18468\n15085 22519\n86876 100000\n74099 100000\n30105 45121\n22448 33618\n21983 32915\n86158 100000\n64190 96291\n60531 90841\n49095 73743\n86004 100000\n20287 30377\n35317 53003\n84857 100000\n35166 52778\n31282 46910\n32873 49321\n85041 100000\n11727 17507\n31359 47025\n52040 78137\n54013 81073\n5075 7587\n36034 54089\n36689 55065\n26157 39155\n74771 100000\n13710 20487\n32576 48857\n73055 100000\n64889 97343\n17992 26881\n91908 100000\n48817 73324\n31141 46692\n26473 39638\n56908 85449\n50874 76407\n7375 11004\n70525 100000\n57590 86462\n37545 56349\n22162 33187\n3746 5588\n56161 84313\n75957 100000\n95597 100000\n46182 69338\n30088 45094\n94870 100000\n23591 35303\n5478 8169\n93636 100000\n10123 15094\n48214 72424\n44891 67405\n25687 38459\n66796 100000\n17934 26796\n73147 100000\n25640 38383\n97149 100000\n28686 42989\n35868 53838\n35695 53570\n40 58\n55578 83441\n2462 3660\n31658 47482\n51377 77165\n71752 100000\n84104 100000\n81432 100000\n37495 56275\n75049 100000\n9315 13897\n38974 58532\n35400 53124\n1241 1850\n81113 100000\n42084 63199\n52320 78547\n89828 100000\n58119 87252\n53366 80102\n87074 100000\n72904 100000\n14603 21803\n74871 100000\n76914 100000\n71186 100000\n18662 27892\n66055 99072\n15322 22878\n46508 69837\n63956 95947\n37512 56300\n74495 100000\n91206 100000\n11191 16699\n40953 61500\n36327 54528\n48372 72647\n28740 43067\n40928 61460\n45448 68238\n23763 35562\n87863 100000\n99534 100000\n92204 100000\n41265 61979\n31991 47971\n63624 95442\n31157 46718\n10752 16038\n33531 50312\n67156 100000\n28458 42648\n77494 100000\n6953 10356\n41335 62084\n50736 76202\n40207 60365\n92402 100000\n81513 100000\n8733 13016\n87646 100000\n70 101\n77703 100000\n50106 75260\n75076 100000\n71869 100000\n65965 98930\n30024 44998\n57464 86267\n17626 26344\n47829 71849\n30045 45030\n16741 25008\n92120 100000\n11983 17896\n20414 30577\n70240 100000\n11187 16695\n79726 100000\n30253 45353\n79162 100000\n29822 44695\n64751 97140\n25569 38279\n37266 55929\n41711 62647\n90869 100000\n74103 100000\n86664 100000\n52374 78627\n83976 100000\n47993 72092\n78392 100000\n71398 100000\n78523 100000\n7423 11077\n86746 100000\n31127 46674\n21251 31818\n72729 100000\n27168 40691\n80648 100000\n41066 61679\n71728 100000\n69362 100000\n11222 16744\n19436 29076\n93562 100000\n90559 100000\n18742 28015\n21086 31570\n28738 43065\n69818 100000\n19038 28464\n30392 45569\n90989 100000\n78129 100000\n58681 88105\n870 1278\n23236 34776\n17721 26476\n27597 41347\n28485 42692\n42290 63521\n34449 51687\n95375 100000\n74016 100000\n62915 94404\n1347 2008\n91995 100000\n71541 100000\n399 584\n89976 100000\n46430 69718\n16770 25057\n34322 51487\n9165 13665\n42228 63425\n90094 100000\n74519 100000\n77520 100000\n32770 49152\n17281 25821\n23208 34728\n25946 38831\n90772 100000\n62534 93836\n85362 100000\n69912 100000\n71451 100000\n95986 100000\n83502 100000\n76760 100000\n45657 68553\n52681 79084\n95185 100000\n72225 100000\n1606 2402\n65107 97668\n77899 100000\n79297 100000\n57370 86136\n89224 100000\n69881 100000\n96696 100000\n59707 89622\n94304 100000\n84060 100000\n65996 98979\n70373 100000\n25690 38463\n55465 83266\n32986 49485\n70901 100000\n40093 60197\n18934 28310\n71898 100000\n66082 99109\n66199 99280\n7894 11766\n14636 21858\n92648 100000\n81125 100000\n82329 100000\n79073 100000\n40239 60413\n95406 100000\n81285 100000\n24541 36725\n57256 85966\n16990 25380\n52190 78361\n97135 100000\n34857 52309\n27452 41121\n62154 93268\n88179 100000\n68139 100000\n73993 100000\n3572 5318\n71640 100000\n49951 75019\n5327 7958\n81252 100000\n36646 54997\n90958 100000\n12545 18747\n6764 10067\n74641 100000\n9975 14877\n42226 63421\n35274 52938\n23617 35339\n86244 100000\n77772 100000\n69832 100000\n19625 29371\n14763 22041\n96109 100000\n59143 88783\n26448 39599\n25277 37841\n30853 46270\n26233 39271\n65674 98498\n65997 98980\n67655 100000\n57594 86466\n13319 19911\n58284 87500\n16676 24911\n31407 47102\n34095 51150\n82148 100000\n19099 28559\n93464 100000\n94671 100000\n7599 11338\n70648 100000\n20510 30712\n10974 16380\n43842 65841\n56999 85581\n24111 36076\n5 6\n17315 25869\n13074 19539\n81776 100000\n22033 32990\n18926 28297\n84754 100000\n3743 5584\n84967 100000\n57126 85770\n14966 22335\n19556 29263\n89146 100000\n69490 100000\n60214 90375\n41732 62678\n93962 100000\n27481 41166\n85876 100000\n87606 100000\n99596 100000\n11192 16700\n19052 28486\n58483 87793\n16949 25317\n34343 51516\n71292 100000\n19968 29886\n81319 100000\n99926 100000\n95915 100000\n69112 100000\n31312 46956\n53007 79567\n39172 58830\n33744 50633\n79516 100000\n72382 100000\n81735 100000\n48090 72237\n42758 64222\n50035 75151\n24136 36113\n44106 66240\n76644 100000\n21253 31821\n156 218\n88563 100000\n18361 27445\n88116 100000\n12044 17990\n6143 9142\n34328 51496\n20664 30943\n4831 7215\n35230 52875\n38402 57654\n42598 63987\n9940 14825\n70956 100000\n18890 28244\n33880 50837\n18004 26901\n4098 6114\n92569 100000\n76257 100000\n20467 30646\n63107 94671\n61104 91700\n83633 100000\n57086 85708\n8290 12351\n9038 13473\n53146 79765\n64207 96318\n14693 21941\n76459 100000\n62768 94187\n77586 100000\n52841 79318\n31055 46562\n84837 100000\n31375 47052\n86349 100000\n19673 29445\n82294 100000\n76053 100000\n82646 100000\n21365 31980\n16246 24265\n8336 12420\n90662 100000\n42576 63953\n66510 99746\n56708 85145\n10705 15959\n57231 85929\n44455 66763\n17806 26598\n66049 99062\n67551 100000\n42894 64427\n12294 18365\n8705 12977\n34831 52272\n4952 7399\n27840 41709\n88063 100000\n20395 30544\n74188 100000\n98432 100000\n14575 21765\n40432 60709\n96796 100000\n15489 23127\n39774 59734\n63849 95786\n55345 83082\n32076 48100\n7039 10486\n38128 57226\n93762 100000\n81332 100000\n76863 100000\n99313 100000\n59725 89647\n6000 8936\n1761 2624\n30730 46082\n19368 28975\n30513 45759\n51302 77049\n99722 100000\n69805 100000\n5833 8689\n33111 49675\n79271 100000\n50163 75342\n785 1159\n68597 100000\n64170 96261\n96846 100000\n51803 77795\n77733 100000\n86804 100000\n10761 16051\n27256 40823\n18019 26925\n20204 30243\n23856 35704\n45131 67766\n74000 100000\n6533 9730\n67341 100000\n28146 42161\n47015 70602\n29666 44463\n39305 59026\n64934 97407\n20598 30841\n26838 40189\n79412 100000\n43146 64819\n56479 84798\n82794 100000\n14973 22346\n54788 82235\n7272 10844\n93868 100000\n22264 33344\n68467 100000\n65627 98430\n40175 60315\n92360 100000\n20276 30358\n70769 100000\n54458 81741\n46239 69429\n53976 81021\n26381 39498\n68045 100000\n94946 100000\n49149 73822\n18990 28400\n87701 100000\n5661 8438\n34619 51947\n631 925\n2475 3680\n62036 93092\n50069 75202\n50964 76541\n56699 85131\n9316 13898\n57167 85833\n3648 5436\n59300 89017\n97675 100000\n47705 71668\n40267 60457\n27403 41043\n2898 4321\n50240 75446\n50118 75275\n45443 68232\n44646 67040\n89217 100000\n45156 67800\n72476 100000\n14207 21230\n76428 100000\n51520 77373\n3980 5939\n47433 71243\n72941 100000\n83774 100000\n41886 62910\n96951 100000\n37895 56864\n20029 29983\n12608 18845\n92745 100000\n18572 27756\n91587 100000\n46253 69451\n24348 36437\n22818 34148\n50447 75768\n32314 48459\n83221 100000\n4200 6272\n31765 47628\n56383 84658\n48482 72811\n14567 21754\n70360 100000\n29698 44511\n80169 100000\n67372 100000\n82698 100000\n80151 100000\n57449 86245\n31296 46931\n75932 100000\n30614 45910\n43298 65051\n5100 7623\n44353 66608\n69196 100000\n21290 31878\n80025 100000\n80143 100000\n63652 95487\n14065 21015\n73264 100000\n87639 100000\n86676 100000\n68903 100000\n38754 58192\n1973 2927\n83451 100000\n96877 100000\n23643 35381\n93342 100000\n8107 12087\n1540 2301\n39273 58975\n21063 31537\n46723 70166\n46546 69898\n53211 79865\n19918 29811\n3005 4474\n30526 45777\n73737 100000\n50685 76128\n36479 54748\n28082 42070\n4519 6751\n23258 34807\n15025 22426\n51399 77202\n17993 26883\n80936 100000\n25737 38530\n1822 2710\n8974 13378\n46691 70116\n46338 69582\n54627 81994\n63957 95948\n57288 86012\n59067 88672\n12731 19037\n30712 46058\n50797 76297\n16868 25199\n35439 53186\n98272 100000\n72458 100000\n92616 100000\n8177 12193\n19343 28938\n97560 100000\n79358 100000\n45329 68063\n68330 100000\n70261 100000\n96223 100000\n5783 8619\n14159 21159\n62008 93045\n9937 14820\n78787 100000\n58116 87247\n40834 61322\n36160 54284\n84207 100000\n26304 39381\n59292 89007\n86651 100000\n85849 100000\n37847 56791\n17635 26356\n13296 19877\n2445 3634\n48079 72218\n26505 39686\n93838 100000\n58865 88374\n98800 100000\n21710 32508\n76077 100000\n2766 4120\n48767 73243\n97452 100000\n31161 46722\n64584 96894\n59593 89457\n74039 100000\n8009 11941\n15163 22641\n94710 100000\n21627 32383\n31411 47108\n26217 39247\n16369 24452\n41828 62824\n78638 100000\n21241 31803\n62252 93418\n56995 85576\n58431 87714\n38812 58285\n77025 100000\n71027 100000\n81370 100000\n10625 15832\n49229 73944\n27071 40546\n80880 100000\n46727 70172\n39169 58824\n49228 73942\n12530 18722\n68327 100000\n46504 69831\n77248 100000\n70178 100000\n74971 100000\n97849 100000\n57787 86744\n45284 67994\n52462 78752\n80083 100000\n26681 39951\n50651 76082\n84442 100000\n56799 85279\n17374 25961\n37658 56513\n31493 47226\n2324 3459\n24850 37197\n58421 87702\n88309 100000\n7047 10498\n23860 35708\n94457 100000\n67941 100000\n34589 51903\n54999 82553\n72111 100000\n4318 6448\n43354 65135\n98708 100000\n79367 100000\n14025 20955\n74451 100000\n48732 73192\n25731 38520\n89971 100000\n88640 100000\n67670 100000\n99116 100000\n17654 26382\n27463 41138\n44050 66155\n8657 12900\n5776 8606\n21196 31734\n27552 41279\n763 1126\n50501 75852\n56798 85277\n13439 20086\n27467 41143\n97700 100000\n23166 34662\n78932 100000\n16561 24741\n9264 13817\n25396 38022\n53139 79755\n89406 100000\n82706 100000\n92408 100000\n3378 5020\n51164 76841\n79512 100000\n43959 66023\n23954 35848\n44953 67497\n82740 100000\n22961 34357\n25175 37689\n42887 64417\n3441 5115\n62630 93985\n9188 13697\n54044 81120\n72718 100000\n1002 1478\n7686 11466\n19317 28899\n4491 6704\n26027 38960\n32787 49179\n66519 99758\n163 230\n14413 21528\n2212 3292\n15649 23385\n96478 100000\n58489 87805\n74263 100000\n57705 86628\n13248 19803\n65750 98617\n19982 29908\n12084 18052\n85824 100000\n911 1343\n92910 100000\n95157 100000\n11822 17662\n17095 25537\n85372 100000\n44079 66200\n35792 53721\n35279 52944\n24385 36494\n82538 100000\n79638 100000\n90601 100000\n81136 100000\n62214 93362\n32183 48262\n78489 100000\n35485 53255\n46271 69481\n25255 37810\n97233 100000\n22644 33896\n88689 100000\n298 432\n93897 100000\n79060 100000\n32227 48325\n74477 100000\n81119 100000\n43459 65288\n42209 63394\n86118 100000\n77244 100000\n27035 40491\n75161 100000\n95015 100000\n83526 100000\n42557 63922\n64097 96156\n32663 48991\n87763 100000\n80288 100000\n5360 8003\n26957 40373\n81877 100000\n61030 91593\n21978 32907\n14947 22308\n51952 78008\n77320 100000\n41104 61737\n70137 100000\n73165 100000\n31001 46490\n20988 31431\n95393 100000\n36726 55116\n20314 30422\n30497 45733\n50241 75447\n233 337\n45452 68243\n527 779\n35073 52633\n7620 11368\n23310 34880\n9528 14201\n37810 56740\n29235 43816\n80986 100000\n36582 54896\n37354 56052\n89160 100000\n48210 72418\n64330 96499\n34994 52514\n38841 58330\n90200 100000\n14341 21424\n77256 100000\n31577 47357\n59130 88766\n45794 68760\n79332 100000\n19576 29292\n27244 40804\n43885 65907\n89855 100000\n88543 100000\n68741 100000\n13092 19569\n35886 53866\n81072 100000\n41054 61660\n97594 100000\n30164 45214\n4778 7132\n21183 31715\n90741 100000\n7747 11550\n27313 40909\n8809 13127\n53922 80937\n78996 100000\n78525 100000\n50578 75974\n58541 87887\n23461 35119\n65983 98956\n65780 98658\n59125 88757\n45366 68114\n28574 42820\n31171 46739\n93275 100000\n77835 100000\n84479 100000\n71825 100000\n99228 100000\n46530 69873\n5666 8445\n71468 100000\n8572 12773\n52614 78983\n55090 82686\n1671 2493\n40113 60222\n5704 8505\n3033 4512\n37042 55592\n20946 31370\n92613 100000\n10288 15337\n64217 96333\n77166 100000\n84515 100000\n7089 10562\n71630 100000\n21510 32206\n4833 7217\n62937 94433\n28950 43388\n32187 48268\n53305 80011\n26212 39240\n63766 95658\n6201 9227\n48177 72365\n42065 63170\n42227 63423\n34695 52066\n73634 100000\n62219 93370\n21746 32560\n69338 100000\n54436 81707\n81280 100000\n73520 100000\n98896 100000\n47411 71209\n87186 100000\n31817 47704\n81014 100000\n71221 100000\n49935 74997\n60608 90960\n74248 100000\n48967 73549\n12058 18013\n71927 100000\n93675 100000\n10420 15525\n66719 100000\n38341 57563\n62442 93694\n54132 81263\n97928 100000\n72423 100000\n46193 69358\n77919 100000\n21228 31783\n79618 100000\n10829 16156\n84954 100000\n15734 23508\n43680 65605\n40717 61148\n64409 96617\n80487 100000\n46857 70368\n1316 1961\n15584 23283\n88127 100000\n97079 100000\n9531 14205\n12425 18564\n30414 45605\n33681 50542\n33597 50413\n36107 54205\n55687 83613\n44328 66569\n66819 100000\n8645 12882\n39728 59663\n24408 36523\n36992 55517\n34487 51743\n40253 60436\n29892 44797\n10629 15837\n65625 98428\n63121 94695\n32851 49282\n96484 100000\n66924 100000\n56328 84570\n21339 31941\n69433 100000\n48020 72130\n58382 87644\n34077 51125\n32715 49069\n87950 100000\n52218 78401\n62014 93054\n86584 100000\n44849 67344\n42974 64554\n80630 100000\n32023 48021\n80709 100000\n65797 98680\n91495 100000\n28602 42868\n31554 47324\n74204 100000\n59133 88769\n58793 88266\n30602 45893\n42946 64509\n6857 10208\n91921 100000\n60456 90730\n76661 100000\n65883 98814\n94313 100000\n80749 100000\n58008 87084\n68619 100000\n33915 50887\n27372 40998\n42656 64071\n97533 100000\n6281 9346\n80932 100000\n81176 100000\n4759 7106\n73898 100000\n88605 100000\n68417 100000\n50540 75920\n18910 28276\n3420 5082\n529 782\n25430 38075\n74596 100000\n476 701\n93671 100000\n58314 87544\n52598 78956\n28540 42770\n27909 41818\n7247 10806\n7191 10721\n12964 19375\n70004 100000\n7466 11140\n87767 100000\n59237 88924\n85677 100000\n75315 100000\n61449 92210\n98048 100000\n86555 100000\n59891 89893\n46240 69431\n87306 100000\n41675 62591\n12482 18649\n30818 46217\n10248 15278\n20783 31125\n95101 100000\n14621 21832\n22539 33743\n40402 60660\n23742 35535\n18467 27601\n76699 100000\n73611 100000\n34591 51907\n66408 99584\n31402 47094\n34194 51303\n67552 100000\n56431 84727\n46072 69172\n10737 16013\n42509 63853\n99628 100000\n83572 100000\n26973 40398\n23724 35507\n53583 80421\n8958 13353\n44776 67238\n91711 100000\n48254 72483\n47870 71910\n42543 63898\n74124 100000\n58785 88253\n75617 100000\n31232 46834\n59711 89626\n48113 72272\n55588 83458\n14937 22292\n97445 100000\n16030 23946\n59070 88677\n77600 100000\n72820 100000\n14170 21175\n7676 11453\n30411 45602\n24445 36581\n85918 100000\n63548 95329\n62533 93834\n43481 65315\n61300 91985\n49654 74580\n92583 100000\n97337 100000\n28130 42138\n39229 58907\n81086 100000\n81964 100000\n55684 83610\n99449 100000\n65232 97850\n31760 47622\n66990 100000\n91347 100000\n10644 15861\n41966 63031\n28596 42859\n20970 31404\n18786 28084\n12555 18760\n4138 6174\n57862 86863\n15590 23293\n18170 27160\n49082 73725\n68536 100000\n12751 19069\n74057 100000\n68806 100000\n99463 100000\n97336 100000\n59419 89195\n72905 100000\n53924 80941\n38156 57267\n50299 75541\n66604 99884\n36245 54408\n45304 68027\n17871 26696\n92726 100000\n18502 27655\n21708 32504\n93106 100000\n59986 90039\n30809 46204\n70403 100000\n22663 33925\n15626 23350\n32806 49208\n31220 46815\n7603 11345\n48613 73006\n55102 82706\n47265 70996\n68650 100000\n947 1400\n79902 100000\n76431 100000\n43436 65255\n84439 100000\n5932 8834\n39652 59550\n55897 83928\n32508 48761\n41151 61804\n59819 89786\n17891 26728\n37809 56738\n28388 42533\n78539 100000\n28806 43170\n31342 46999\n25596 38322\n67257 100000\n61385 92111\n46990 70564\n95554 100000\n90660 100000\n63189 94797\n99974 100000\n53732 80646\n73903 100000\n5039 7531\n60609 90962\n68391 100000\n10817 16139\n8219 12254\n80582 100000\n17117 25568\n80431 100000\n47773 71772\n64052 96089\n52605 78969\n73994 100000\n56301 84527\n74918 100000\n37509 56294\n56844 85351\n33553 50345\n51550 77417\n58484 87795\n71372 100000\n85739 100000\n70700 100000\n13735 20524\n86570 100000\n16009 23919\n88300 100000\n72569 100000\n79834 100000\n25400 38029\n12064 18021\n31290 46923\n40309 60522\n71076 100000\n90790 100000\n88864 100000\n13677 20437\n94230 100000\n55815 83809\n48349 72613\n53912 80924\n82455 100000\n68901 100000\n66896 100000\n67207 100000\n93331 100000\n49216 73924\n38795 58258\n42478 63810\n68929 100000\n5364 8008\n48801 73298\n62554 93866\n33022 49543\n90394 100000\n5032 7520\n7303 10892\n20100 30091\n684 1007\n76311 100000\n16240 24256\n34269 51408\n56420 84711\n16544 24714\n28221 42283\n93294 100000\n70433 100000\n26559 39769\n10200 15204\n79538 100000\n62289 93478\n31578 47359\n71328 100000\n87187 100000\n24091 36049\n55944 83999\n67729 100000\n7877 11741\n66135 99179\n20790 31138\n47031 70627\n2615 3897\n45838 68828\n92609 100000\n23783 35594\n70246 100000\n78150 100000\n14433 21555\n36383 54607\n934 1380\n35694 53569\n43834 65831\n51901 77936\n41419 62211\n65509 98264\n66352 99508\n41979 63050\n3532 5258\n16940 25304\n31670 47497\n82680 100000\n94228 100000\n60718 91123\n7186 10712\n77469 100000\n40164 60299\n1063 1574\n97245 100000\n63190 94798\n44635 67026\n51642 77554\n59971 90019\n76757 100000\n42866 64384\n23854 35701\n58645 88048\n91524 100000\n67511 100000\n61040 91609\n25786 38600\n31964 47928\n82165 100000\n20561 30786\n40181 60323\n74549 100000\n77912 100000\n29924 44842\n83310 100000\n83012 100000\n21798 32634\n2094 3117\n951 1406\n84030 100000\n94748 100000\n39803 59775\n6703 9973\n59642 89527\n97280 100000\n1717 2561\n9751 14534\n66837 100000\n11486 17148\n42015 63099\n83817 100000\n37903 56875\n80695 100000\n92138 100000\n9013 13435\n93180 100000\n33242 49872\n66964 100000\n72921 100000\n99556 100000\n12989 19413\n64079 96128\n53527 80339\n81148 100000\n71388 100000\n97947 100000\n91725 100000\n36295 54478\n45768 68720\n77424 100000\n56030 84123\n46599 69974\n33274 49917\n65069 97614\n86831 100000\n50741 76210\n24954 37361\n4526 6765\n63467 95207\n14115 21088\n11912 17793\n75998 100000\n70327 100000\n80897 100000\n7360 10984\n62325 93531\n41995 63071\n40204 60359\n78481 100000\n25796 38614\n967 1432\n12059 18014\n28748 43079\n93873 100000\n60868 91355\n42973 64552\n10238 15262\n81006 100000\n74436 100000\n21110 31606\n19290 28858\n90843 100000\n37790 56708\n81137 100000\n99994 100000\n41250 61955\n45506 68315\n83065 100000\n9540 14217\n59533 89366\n49297 74043\n74186 100000\n26454 39608\n49215 73922\n95767 100000\n33395 50109\n60639 91005\n70668 100000\n76176 100000\n35888 53869\n68336 100000\n5510 8217\n36967 55476\n92278 100000\n41615 62506\n53033 79605\n84897 100000\n3736 5575\n54910 82418\n61337 92043\n57490 86308\n2622 3908\n438 638\n98334 100000\n58131 87267\n97561 100000\n60196 90350\n44348 66598\n61918 92915\n34053 51094\n86424 100000\n86344 100000\n15328 22888\n21985 32917\n40257 60442\n22290 33381\n64773 97170\n25335 37927\n91978 100000\n37474 56241\n75054 100000\n64993 97502\n55205 82858\n32753 49127\n66484 99706\n32620 48925\n3733 5569\n94411 100000\n32966 49457\n20893 31290\n7604 11346\n28476 42677\n54212 81374\n88873 100000\n44037 66136\n22289 33379\n3910 5832\n37814 56745\n21437 32096\n24172 36171\n59965 90009\n74841 100000\n38655 58041\n4896 7316\n77211 100000\n66817 100000\n44159 66317\n23037 34469\n55068 82655\n28171 42203\n89192 100000\n19419 29049\n82287 100000\n85311 100000\n13553 20249\n47728 71702\n89404 100000\n50796 76296\n7961 11866\n43769 65733\n89982 100000\n4819 7194\n98093 100000\n28205 42257\n17511 26175\n7736 11534\n20590 30831\n40951 61497\n29207 43775\n52980 79531\n18734 28002\n59646 89533\n52559 78895\n13209 19744\n92286 100000\n50476 75815\n45753 68697\n88071 100000\n58852 88358\n93518 100000\n61354 92067\n2123 3162\n96771 100000\n44095 66224\n54355 81587\n56038 84136\n12534 18728\n39705 59627\n10857 16197\n56382 84657\n95242 100000\n31344 47002\n49121 73780\n71279 100000\n23581 35288\n74189 100000\n39548 59397\n27775 41613\n2890 4309\n82848 100000\n28828 43207\n70815 100000\n40084 60185\n42550 63910\n11653 17394\n6883 10249\n54065 81153\n65689 98518\n46632 70026\n95458 100000\n15043 22456\n72714 100000\n74403 100000\n42802 64287\n41703 62635\n85699 100000\n18901 28262\n87858 100000\n61323 92021\n27455 41125\n41457 62263\n24940 37337\n79496 100000\n8791 13097\n67600 100000\n18650 27873\n65318 97981\n49800 74804\n53087 79675\n94991 100000\n14618 21828\n69896 100000\n13932 20813\n87635 100000\n30867 46292\n54377 81619\n29729 44555\n4696 7011\n83530 100000\n65900 98837\n19402 29026\n45408 68180\n61194 91831\n28459 42649\n9112 13585\n34860 52312\n7556 11276\n63847 95784\n29396 44053\n46586 69958\n38931 58468\n77718 100000\n32278 48403\n14327 21404\n60234 90405\n95684 100000\n3739 5579\n25511 38191\n84962 100000\n95701 100000\n39226 58903\n75622 100000\n26875 40246\n48099 72248\n88841 100000\n21204 31746\n3947 5887\n27636 41404\n63863 95808\n62234 93393\n53122 79726\n28490 42700\n17520 26187\n576 843\n84085 100000\n62512 93803\n6129 9117\n1502 2245\n48718 73173\n38510 57818\n99847 100000\n85543 100000\n65146 97725\n34718 52104\n37410 56144\n69302 100000\n96584 100000\n54563 81905\n70169 100000\n8779 13077\n90396 100000\n15695 23452\n2291 3411\n64784 97188\n73367 100000\n94136 100000\n54199 81358\n75623 100000\n4991 7459\n16643 24859\n63731 95605\n52577 78925\n48386 72666\n98897 100000\n4602 6875\n96983 100000\n17630 26350\n27916 41829\n53004 79564\n71057 100000\n34379 51574\n59944 89973\n15636 23364\n70877 100000\n74935 100000\n87542 100000\n72699 100000\n28642 42927\n81390 100000\n70093 100000\n147 205\n10107 15072\n85157 100000\n71815 100000\n22483 33666\n45606 68475\n10006 14920\n9468 14113\n61732 92630\n6211 9243\n13610 20339\n52282 78493\n23687 35445\n27706 41509\n4533 6777\n7853 11705\n38453 57728\n39 56\n79370 100000\n19989 29920\n40815 61292\n52436 78716\n35363 53067\n34909 52380\n74925 100000\n86149 100000\n16938 25301\n21873 32752\n79887 100000\n2655 3956\n4123 6153\n41279 61998\n88909 100000\n52809 79270\n26 37\n3247 4831\n90437 100000\n13490 20160\n65103 97662\n47653 71588\n1579 2365\n53514 80318\n85406 100000\n43132 64793\n56275 84486\n17124 25582\n53348 80074\n97680 100000\n21908 32803\n17051 25470\n78915 100000\n95160 100000\n44778 67242\n46141 69277\n30897 46335\n21782 32611\n27464 41139\n21192 31729\n27690 41485\n30640 45952\n65139 97716\n72678 100000\n88405 100000\n12640 18889\n24737 37028\n88365 100000\n48166 72348\n25806 38631\n31981 47954\n81407 100000\n17928 26788\n10312 15374\n9364 13965\n98806 100000\n42739 64191\n42713 64152\n60484 90771\n30967 46438\n27911 41820\n29249 43836\n34388 51589\n10243 15268\n80076 100000\n54644 82022\n71115 100000\n52808 79268\n43976 66050\n32114 48157\n56265 84470\n49924 74983\n38394 57643\n91039 100000\n98325 100000\n58277 87488\n45432 68215\n91399 100000\n27043 40502\n54429 81696\n85622 100000\n1029 1520\n69183 100000\n88591 100000\n54309 81520\n25900 38765\n98399 100000\n51211 76911\n11639 17374\n16763 25045\n87404 100000\n61563 92382\n22316 33420\n18703 27952\n67602 100000\n78126 100000\n24452 36592\n13555 20252\n61645 92502\n85706 100000\n40690 61109\n68333 100000\n6763 10065\n23015 34435\n1574 2357\n14270 21319\n95449 100000\n91053 100000\n87148 100000\n3902 5819\n46518 69852\n85689 100000\n8195 12220\n8055 12010\n73402 100000\n5512 8219\n50281 75510\n28344 42468\n79739 100000\n65896 98831\n88607 100000\n20235 30291\n89285 100000\n94891 100000\n39749 59695\n82991 100000\n21771 32596\n28996 43460\n15639 23368\n14469 21608\n79170 100000\n98903 100000\n75075 100000\n93560 100000\n53578 80414\n75240 100000\n24628 36859\n45392 68154\n44286 66506\n59259 88955\n12508 18691\n13665 20422\n25635 38376\n75260 100000\n63477 95222\n58252 87448\n91943 100000\n30726 46076\n5263 7863\n46471 69781\n49007 73611\n56090 84215\n32887 49344\n9956 14848\n25985 38894\n67275 100000\n23924 35800\n29562 44297\n38958 58506\n56361 84623\n34342 51514\n64297 96453\n24676 36940\n54030 81101\n22683 33954\n66036 99045\n69379 100000\n27941 41863\n16655 24878\n5318 7945\n48802 73300\n71676 100000\n31380 47059\n65072 97619\n75191 100000\n61156 91780\n13621 20355\n80341 100000\n16143 24115\n44583 66943\n70887 100000\n15480 23116\n62225 93378\n96265 100000\n38890 58410\n66872 100000\n18294 27347\n72054 100000\n39002 58574\n86521 100000\n41811 62797\n29126 43650\n95636 100000\n83478 100000\n82755 100000\n42391 63683\n7185 10710\n66570 99833\n51080 76711\n18767 28053\n71680 100000\n83387 100000\n36133 54244\n82492 100000\n70173 100000\n47908 71966\n33295 49951\n68514 100000\n89995 100000\n38030 57073\n57786 86743\n38609 57970\n27261 40829\n24919 37305\n28038 42003\n55012 82571\n22886 34247\n69658 100000\n44522 66862\n4955 7402\n42575 63952\n37435 56183\n96777 100000\n61614 92452\n55217 82877\n89837 100000\n31053 46560\n18686 27927\n64533 96816\n38466 57746\n99807 100000\n5164 7718\n14808 22108\n81624 100000\n7819 11657\n68977 100000\n42706 64142\n45845 68835\n73490 100000\n16179 24167\n55519 83346\n28243 42317\n46065 69161\n65822 98721\n59170 88822\n51166 76844\n32399 48591\n12018 17950\n98255 100000\n61445 92203\n11324 16902\n65284 97927\n58953 88508\n25901 38767\n62516 93809\n74473 100000\n4573 6839\n73051 100000\n65933 98884\n19421 29052\n98122 100000\n53650 80521\n61519 92319\n2582 3846\n25791 38606\n12732 19038\n6385 9503\n57984 87048\n80184 100000\n48430 72731\n35916 53908\n14220 21248\n47074 70694\n14844 22154\n93135 100000\n93099 100000\n58425 87706\n3514 5231\n80563 100000\n9752 14536\n38410 57666\n69501 100000\n61673 92544\n67091 100000\n54962 82494\n88716 100000\n23546 35237\n43922 65965\n53835 80808\n50225 75427\n90620 100000\n24691 36962\n8193 12217\n5617 8369\n53065 79645\n31051 46558\n17162 25644\n47852 71883\n83582 100000\n83589 100000\n79101 100000\n52542 78871\n76784 100000\n940 1389\n9738 14514\n85228 100000\n73505 100000\n31068 46584\n9960 14854\n70595 100000\n91548 100000\n50702 76155\n42470 63798\n95368 100000\n77567 100000\n26040 38978\n31660 47484\n13256 19816\n13082 19555\n21302 31893\n48821 73331\n97527 100000\n46476 69789\n80048 100000\n39860 59857\n68026 100000\n4883 7294\n54916 82426\n57577 86440\n84131 100000\n83489 100000\n71515 100000\n13823 20654\n2122 3161\n41200 61882\n93748 100000\n99961 100000\n34119 51187\n2786 4151\n81326 100000\n9674 14411\n43178 64868\n93149 100000\n43999 66083\n94335 100000\n5391 8051\n82117 100000\n96616 100000\n87231 100000\n32914 49383\n23152 34642\n67660 100000\n12605 18841\n32940 49420\n39006 58580\n40001 60064\n70646 100000\n79003 100000\n12864 19225\n52936 79465\n63394 95098\n17022 25427\n20629 30890\n81646 100000\n62435 93685\n77210 100000\n65692 98522\n18483 27626\n16122 24084\n8769 13064\n44212 66395\n12810 19150\n25382 37999\n54296 81501\n94667 100000\n63925 95902\n73043 100000\n66586 99860\n41156 61812\n71975 100000\n74790 100000\n8230 12270\n63973 95972\n24791 37107\n98426 100000\n89121 100000\n37388 56108\n75442 100000\n93276 100000\n4504 6725\n72066 100000\n36694 55073\n3722 5553\n11114 16588\n93543 100000\n90686 100000\n87279 100000\n81485 100000\n20142 30154\n46020 69096\n60021 90089\n29285 43888\n86742 100000\n24451 36590\n94188 100000\n64919 97388\n5473 8162\n8756 13047\n14264 21312\n99813 100000\n36939 55434\n26062 39010\n53040 79613\n69074 100000\n97696 100000\n33455 50199\n51616 77516\n28455 42643\n43018 64618\n63721 95587\n92522 100000\n55693 83621\n51962 78025\n52001 78080\n50160 75338\n44313 66546\n84456 100000\n90128 100000\n69848 100000\n70794 100000\n25758 38561\n84550 100000\n65891 98825\n60555 90878\n88299 100000\n93269 100000\n90291 100000\n37656 56511\n19900 29785\n19737 29545\n16890 25233\n51414 77220\n57157 85817\n96394 100000\n22633 33879\n97987 100000\n96985 100000\n83832 100000\n97114 100000\n30245 45340\n66455 99660\n50936 76495\n74956 100000\n27161 40679\n81273 100000\n89536 100000\n86779 100000\n15976 23866\n99662 100000\n99731 100000\n83233 100000\n70108 100000\n73513 100000\n96766 100000\n67406 100000\n16087 24031\n28634 42917\n2561 3811\n42563 63933\n85750 100000\n56548 84900\n12239 18287\n10334 15407\n79486 100000\n73349 100000\n16634 24847\n55312 83030\n35873 53846\n72252 100000\n90341 100000\n80154 100000\n75699 100000\n67474 100000\n33613 50438\n73303 100000\n73103 100000\n56886 85416\n81249 100000\n54559 81900\n82496 100000\n55998 84073\n73608 100000\n81079 100000\n95087 100000\n7396 11038\n80985 100000\n5646 8414\n46911 70446\n38769 58215\n39296 59010\n6806 10132\n18962 28354\n28839 43224\n3081 4583\n7120 10611\n30650 45966\n25565 38273\n3469 5158\n51548 77415\n65095 97652\n89629 100000\n96820 100000\n84886 100000\n92290 100000\n39028 58612\n48937 73505\n38393 57641\n9085 13545\n29180 43733\n15383 22972\n11406 17028\n18615 27820\n86335 100000\n17968 26851\n53870 80862\n30237 45327\n82670 100000\n15213 22713\n89868 100000\n20096 30086\n48365 72637\n30192 45260\n2710 4036\n42767 64237\n70913 100000\n87291 100000\n63383 95082\n88023 100000\n45464 68259\n45798 68767\n671 987\n3931 5863\n72332 100000\n54765 82205\n80930 100000\n1740 2592\n17940 26806\n82464 100000\n88018 100000\n24708 36987\n59209 88884\n751 1110\n63760 95649\n26854 40213\n93894 100000\n27637 41406\n17907 26755\n4050 6036\n89459 100000\n36653 55008\n45244 67935\n56713 85151\n44277 66492\n17791 26575\n40579 60936\n20777 31116\n93011 100000\n208 303\n76009 100000\n50751 76227\n58989 88559\n41686 62610\n77048 100000\n38348 57574\n74584 100000\n84239 100000\n5481 8173\n83299 100000\n57125 85768\n59601 89466\n87226 100000\n73172 100000\n21411 32054\n22447 33617\n57092 85719\n30228 45316\n78164 100000\n65360 98041\n99670 100000\n27442 41107\n58698 88127\n85608 100000\n26861 40224\n15768 23562\n85809 100000\n13384 20007\n48742 73207\n77162 100000\n41767 62730\n78 110\n51410 77215\n13613 20345\n41118 61758\n77855 100000\n42314 63564\n2760 4108\n26956 40372\n29216 43789\n17566 26254\n49514 74371\n16040 23960\n38845 58338\n30797 46186\n83034 100000\n99804 100000\n3814 5695\n85556 100000\n52752 79190\n14777 22058\n55234 82906\n8484 12642\n41656 62567\n27163 40682\n57886 86901\n28040 42007\n63701 95560\n84894 100000\n68683 100000\n57006 85593\n80252 100000\n68755 100000\n65396 98096\n90763 100000\n63164 94761\n30634 45943\n61403 92136\n1772 2641\n81584 100000\n96642 100000\n82004 100000\n92837 100000\n51291 77032\n94380 100000\n75022 100000\n25076 37542\n54724 82142\n11978 17889\n32421 48625\n74227 100000\n52856 79340\n57436 86228\n8613 12834\n69197 100000\n19823 29674\n52798 79254\n46687 70110\n23833 35671\n38417 57677\n79806 100000\n63895 95856\n94730 100000\n53803 80757\n20796 31147\n36972 55484\n66617 99904\n58836 88333\n90046 100000\n16466 24596\n59376 89133\n41813 62800\n69574 100000\n82939 100000\n29042 43528\n71415 100000\n3982 5941\n2629 3918\n44395 66673\n1189 1769\n81313 100000\n96677 100000\n29342 43973\n94262 100000\n22136 33147\n8969 13370\n82606 100000\n94583 100000\n9515 14183\n84841 100000\n66983 100000\n80815 100000\n42441 63759\n90347 100000\n78941 100000\n15329 22890\n8748 13034\n99283 100000\n75950 100000\n47388 71178\n46051 69137\n18030 26940\n11522 17203\n96207 100000\n76603 100000\n17187 25685\n10969 16373\n65502 98255\n80082 100000\n51077 76706\n58350 87594\n20021 29971\n47493 71341\n47499 71351\n61034 91599\n20546 30765\n53775 80714\n48462 72780\n19974 29896\n16120 24080\n87513 100000\n44491 66816\n43344 65121\n21433 32088\n16115 24072\n67847 100000\n134 188\n96488 100000\n35228 52872\n16105 24058\n7358 10982\n52353 78598\n61661 92524\n89744 100000\n39841 59832\n41364 62127\n77737 100000\n1699 2534\n29825 44698\n56888 85419\n13830 20666\n13363 19974\n48172 72359\n40790 61257\n72992 100000\n77961 100000\n67835 100000\n91264 100000\n73682 100000\n95052 100000\n13658 20410\n80039 100000\n18487 27632\n26698 39978\n7308 10900\n66008 99000\n57360 86121\n10005 14918\n74019 100000\n77826 100000\n66122 99160\n2816 4197\n29075 43579\n85338 100000\n59745 89678\n40416 60681\n78963 100000\n96181 100000\n89956 100000\n35151 52755\n51363 77141\n6445 9597\n73747 100000\n53799 80751\n56138 84279\n24386 36495\n10464 15591\n88774 100000\n80892 100000\n29043 43530\n76074 100000\n35260 52922\n34740 52139\n97733 100000\n20421 30585\n12913 19295\n5734 8547\n81775 100000\n7654 11419\n89436 100000\n7141 10646\n10261 15296\n62427 93675\n33966 50959\n34961 52464\n68030 100000\n19248 28790\n86535 100000\n7575 11307\n26585 39806\n84923 100000\n50292 75527\n27881 41772\n32434 48646\n75944 100000\n43662 65579\n24263 36310\n15122 22577\n72214 100000\n73159 100000\n14845 22156\n69617 100000\n46101 69217\n82482 100000\n36350 54562\n67725 100000\n1090 1615\n54684 82083\n15499 23142\n5296 7914\n79599 100000\n25754 38554\n26788 40115\n53013 79577\n29539 44262\n54732 82154\n42067 63173\n56231 84415\n67067 100000\n13791 20605\n7248 10808\n58133 87271\n99643 100000\n52345 78586\n3312 4920\n85602 100000\n78868 100000\n84390 100000\n27792 41640\n72491 100000\n54551 81885\n52318 78543\n19848 29707\n39027 58611\n94569 100000\n32160 48228\n24927 37315\n60574 90909\n37260 55920\n58887 88409\n28263 42344\n83198 100000\n2859 4260\n95816 100000\n61818 92758\n44072 66190\n31416 47116\n20951 31377\n6299 9373\n36874 55341\n74503 100000\n18764 28050\n381 558\n56705 85141\n7841 11689\n92352 100000\n76556 100000\n51240 76956\n41655 62565\n24142 36122\n46403 69677\n23370 34980\n19481 29146\n87900 100000\n92730 100000\n87111 100000\n14344 21428\n73684 100000\n19068 28510\n10968 16372\n64160 96248\n3735 5573\n77738 100000\n55701 83633\n17447 26077\n63046 94590\n7937 11829\n28212 42270\n13971 20874\n26207 39232\n93500 100000\n90288 100000\n17715 26469\n99193 100000\n3367 5003\n30480 45708\n1305 1946\n14720 21977\n10244 15270\n81636 100000\n12769 19096\n60737 91151\n65406 98112\n67626 100000\n37202 55829\n89965 100000\n66282 99406\n52527 78850\n65192 97792\n47591 71492\n39703 59624\n87403 100000\n46882 70405\n84137 100000\n15030 22434\n96370 100000\n19760 29577\n18037 26951\n83729 100000\n13477 20142\n17951 26824\n8883 13240\n12939 19334\n13168 19682\n20679 30963\n71418 100000\n94635 100000\n34534 51816\n39810 59784\n37377 56091\n6256 9310\n35742 53646\n91193 100000\n74993 100000\n63050 94595\n65688 98517\n63393 95096\n49389 74186\n95696 100000\n62369 93593\n37500 56281\n44203 66382\n60948 91471\n32334 48490\n97599 100000\n59162 88813\n22279 33364\n56428 84722\n55269 82962\n3827 5714\n49590 74483\n47038 70640\n8672 12925\n77053 100000\n58442 87730\n9099 13565\n83680 100000\n65765 98636\n12948 19349\n97767 100000\n62380 93610\n3104 4617\n79576 100000\n90789 100000\n1247 1857\n69493 100000\n3939 5876\n90555 100000\n15969 23856\n90760 100000\n97693 100000\n73176 100000\n61092 91684\n90814 100000\n61587 92415\n20801 31155\n47480 71321\n43875 65893\n55459 83258\n60564 90892\n32858 49294\n35761 53673\n71609 100000\n75026 100000\n86133 100000\n35434 53177\n47313 71060\n95999 100000\n74260 100000\n25204 37734\n14992 22373\n83718 100000\n88078 100000\n47154 70819\n33116 49682\n91741 100000\n97449 100000\n35935 53937\n90780 100000\n24622 36850\n6876 10236\n14285 21342\n42294 63529\n18957 28347\n78548 100000\n58138 87278\n42249 63462\n26970 40393\n84394 100000\n20252 30318\n75842 100000\n8224 12260\n64436 96658\n86175 100000\n8640 12875\n67039 100000\n63191 94799\n10841 16175\n87755 100000\n68582 100000\n62996 94517\n5420 8093\n6640 9882\n44162 66321\n65006 97520\n81202 100000\n56349 84604\n69496 100000\n96473 100000\n10444 15561\n30945 46410\n90380 100000\n98908 100000\n61780 92702\n73335 100000\n57038 85639\n54503 81811\n62226 93380\n25788 38603\n28239 42311\n87216 100000\n92 127\n80684 100000\n18392 27489\n19621 29363\n58223 87405\n2231 3321\n32385 48570\n58417 87698\n35595 53415\n64092 96149\n88887 100000\n48007 72112\n33145 49728\n56318 84557\n6460 9624\n92691 100000\n14624 21836\n66011 99004\n71837 100000\n65818 98716\n15751 23534\n27480 41165\n29068 43568\n68882 100000\n6171 9184\n14367 21459\n10667 15897\n18061 26987\n77416 100000\n37720 56606\n29116 43637\n23293 34855\n88768 100000\n89571 100000\n49655 74582\n82491 100000\n29347 43981\n98849 100000\n62489 93769\n99028 100000\n49913 74965\n29582 44328\n31247 46854\n46919 70459\n3592 5348\n59429 89210\n1115 1653\n64031 96061\n40609 60983\n65426 98140\n5862 8732\n7838 11685\n72275 100000\n32371 48546\n31858 47762\n36018 54064\n99351 100000\n4737 7071\n97961 100000\n44034 66133\n78555 100000\n64419 96633\n89325 100000\n72833 100000\n27209 40750\n99074 100000\n531 786\n75887 100000\n21822 32671\n82002 100000\n66696 100000\n26819 40157\n48725 73183\n66514 99751\n49447 74270\n36811 55251\n54592 81946\n52883 79382\n99209 100000\n12257 18311\n96590 100000\n19287 28852\n55348 83088\n58867 88378\n61843 92795\n61911 92905\n18122 27087\n60968 91499\n1067 1579\n47270 71003\n57697 86617\n92453 100000\n12106 18087\n71686 100000\n27378 41007\n36430 54676\n99359 100000\n88081 100000\n62158 93274\n53339 80060\n17545 26223\n20866 31249\n32085 48113\n25196 37722\n34201 51314\n60355 90576\n33501 50266\n19456 29108\n22160 33184\n18862 28199\n20409 30569\n61392 92119\n67620 100000\n5563 8292\n72866 100000\n24631 36864\n76461 100000\n35007 52533\n93857 100000\n39542 59389\n38882 58397\n31102 46637\n49153 73827\n27070 40545\n34504 51770\n63194 94803\n2717 4045\n82835 100000\n54356 81588\n89383 100000\n51809 77803\n56796 85274\n66043 99055\n22642 33892\n69978 100000\n73290 100000\n34473 51721\n15446 23063\n1625 2428\n79503 100000\n20392 30539\n63241 94873\n95682 100000\n18964 28357\n34224 51347\n70238 100000\n84080 100000\n36370 54591\n98241 100000\n53349 80075\n86197 100000\n84680 100000\n71062 100000\n43925 65970\n80927 100000\n77177 100000\n58322 87556\n65174 97765\n60459 90735\n28236 42306\n70543 100000\n62766 94184\n43236 64957\n71461 100000\n36485 54755\n34491 51749\n84669 100000\n70071 100000\n20137 30147\n92036 100000\n78877 100000\n34969 52474\n24728 37015\n30601 45892\n71985 100000\n55110 82721\n31949 47904\n96925 100000\n10301 15355\n39441 59237\n40199 60352\n58195 87360\n11984 17898\n15040 22451\n14396 21503\n81687 100000\n46784 70254\n77704 100000\n49198 73893\n1478 2205\n22993 34406\n79886 100000\n33010 49524\n76650 100000\n74493 100000\n65795 98677\n71527 100000\n27511 41215\n11962 17865\n22327 33436\n86821 100000\n7980 11895\n3097 4607\n81666 100000\n73956 100000\n50883 76420\n87486 100000\n66845 100000\n43084 64716\n30555 45820\n97846 100000\n73181 100000\n3778 5636\n26241 39284\n48450 72762\n1255 1867\n77681 100000\n59570 89421\n178 256\n57553 86406\n4744 7081\n68891 100000\n85950 100000\n65475 98211\n3082 4584\n55710 83647\n41125 61768\n7205 10742\n89573 100000\n87401 100000\n54257 81438\n72632 100000\n39216 58890\n22907 34275\n38501 57803\n72724 100000\n83379 100000\n33190 49799\n25751 38549\n87412 100000\n49904 74955\n92451 100000\n41084 61706\n5543 8264\n19602 29335\n94538 100000\n94886 100000\n1523 2276\n30963 46433\n83549 100000\n8256 12305\n70604 100000\n79852 100000\n64776 97175\n97971 100000\n35669 53527\n44974 67530\n25782 38593\n85741 100000\n83758 100000\n75465 100000\n69802 100000\n72668 100000\n84793 100000\n37470 56234\n18992 28402\n99855 100000\n54568 81912\n38918 58447\n8183 12201\n65152 97732\n9708 14467\n39101 58722\n91275 100000\n83436 100000\n85892 100000\n81050 100000\n96356 100000\n44595 66961\n86408 100000\n4742 7079\n99608 100000\n46249 69444\n46506 69834\n48321 72577\n1654 2471\n51646 77560\n40387 60639\n5705 8506\n15616 23335\n38511 57819\n32662 48989\n2256 3360\n45424 68205\n99838 100000\n9375 13982\n37565 56378\n3720 5549\n76323 100000\n1942 2885\n49224 73937\n54348 81577\n50524 75893\n77896 100000\n48439 72746\n84040 100000\n86728 100000\n91200 100000\n57647 86542\n16755 25032\n52377 78632\n77064 100000\n54670 82061\n84224 100000\n57561 86418\n35541 53335\n55191 82837\n75408 100000\n29622 44391\n66203 99286\n74444 100000\n50583 75980\n92359 100000\n73605 100000\n41634 62533\n99200 100000\n13839 20676\n13957 20851\n46505 69833\n10036 14968\n99255 100000\n52393 78653\n36792 55218\n48399 72686\n37367 56074\n5994 8925\n23658 35404\n88122 100000\n11218 16737\n46325 69565\n30847 46261\n45300 68020\n81604 100000\n92741 100000\n36246 54410\n47438 71249\n37966 56977\n17685 26428\n54840 82313\n4761 7108\n31676 47505\n34032 51061\n415 607\n74879 100000\n75633 100000\n82375 100000\n94483 100000\n51623 77527\n44016 66108\n82712 100000\n4270 6373\n61941 92945\n31156 46717\n39140 58782\n28516 42738\n89867 100000\n99601 100000\n84878 100000\n59091 88705\n10928 16305\n50978 76560\n22231 33289\n47778 71780\n15689 23444\n80183 100000\n53198 79842\n9479 14128\n73220 100000\n74486 100000\n28841 43227\n53097 79688\n53521 80329\n41663 62577\n11717 17493\n41942 62994\n88494 100000\n80925 100000\n80171 100000\n79329 100000\n78733 100000\n48199 72402\n77812 100000\n63952 95942\n71558 100000\n83491 100000\n5725 8534\n27875 41764\n750 1108\n24336 36418\n95823 100000\n46815 70304\n84315 100000\n9268 13824\n17248 25771\n36170 54299\n4708 7028\n45952 68995\n84047 100000\n99664 100000\n13792 20607\n21438 32097\n75227 100000\n97577 100000\n99133 100000\n6115 9095\n64831 97258\n41184 61856\n65316 97978\n69952 100000\n17217 25728\n58194 87359\n83200 100000\n82925 100000\n35266 52929\n49899 74949\n10565 15742\n54338 81561\n18628 27836\n42315 63566\n54754 82188\n56230 84414\n27525 41237\n13620 20354\n21412 32056\n94724 100000\n52915 79430\n17682 26423\n115 157\n60690 91077\n82114 100000\n72281 100000\n11792 17612\n37892 56860\n76269 100000\n16133 24099\n797 1176\n80779 100000\n40148 60276\n92973 100000\n69359 100000\n13235 19782\n21599 32342\n12246 18296\n44873 67378\n52606 78970\n21970 32895\n95938 100000\n31701 47538\n96480 100000\n62984 94499\n37797 56721\n19106 28571\n17247 25770\n27212 40753\n67996 100000\n42566 63938\n70232 100000\n95991 100000\n41373 62142\n70236 100000\n39184 58847\n6933 10326\n47800 71807\n31850 47751\n40758 61207\n77781 100000\n28396 42546\n553 812\n79911 100000\n43234 64954\n70732 100000\n69895 100000\n66030 99035\n26769 40086\n2680 3990\n65801 98688\n6020 8963\n31524 47275\n97212 100000\n37680 56550\n36546 54847\n18411 27519\n95768 100000\n92104 100000\n58162 87313\n58981 88547\n56438 84738\n52500 78808\n99451 100000\n30696 46036\n69129 100000\n6674 9932\n84341 100000\n49262 73989\n17827 26630\n89433 100000\n75162 100000\n80955 100000\n1381 2059\n19097 28555\n8598 12813\n73676 100000\n93844 100000\n55286 82988\n27484 41170\n60717 91122\n71662 100000\n18891 28246\n28946 43384\n87685 100000\n34765 52176\n53543 80362\n56790 85264\n82290 100000\n75543 100000\n11018 16447\n36914 55399\n27518 41227\n15117 22569\n65852 98765\n16419 24528\n15849 23682\n7888 11759\n19009 28423\n52563 78902\n50701 76153\n36314 54509\n69033 100000\n65545 98317\n14238 21274\n4740 7076\n95408 100000\n58395 87666\n20430 30597\n81048 100000\n83482 100000\n84123 100000\n12724 19025\n66744 100000\n25032 37477\n47624 71543\n84772 100000\n53172 79800\n65381 98074\n84624 100000\n17712 26465\n54158 81299\n75554 100000\n67143 100000\n20736 31054\n2268 3377\n59039 88631\n42903 64443\n5735 8548\n83399 100000\n65101 97660\n31853 47755\n29546 44273\n92901 100000\n89302 100000\n64018 96040\n47573 71460\n83069 100000\n47574 71461\n20344 30470\n46115 69241\n56435 84734\n84626 100000\n64189 96289\n62833 94284\n17339 25905\n53413 80169\n23116 34589\n40714 61144\n28581 42832\n29189 43747\n38959 58507\n85335 100000\n79428 100000\n48105 72258\n55918 83960\n37508 56293\n10983 16392\n95118 100000\n75715 100000\n45239 67927\n85960 100000\n71498 100000\n48231 72449\n95072 100000\n39836 59823\n40117 60229\n37123 55712\n10314 15377\n26052 38995\n21051 31520\n44043 66144\n44531 66873\n34124 51197\n21955 32874\n67112 100000\n74485 100000\n56925 85471\n99891 100000\n81893 100000\n9548 14225\n9968 14867\n63942 95927\n96075 100000\n79031 100000\n60123 90241\n20696 30991\n27514 41220\n66743 100000\n99017 100000\n30159 45204\n40118 60231\n14934 22288\n30531 45784\n61702 92584\n89702 100000\n24584 36791\n75574 100000\n5152 7701\n9265 13818\n7016 10449\n88351 100000\n41143 61791\n21774 32601\n51705 77646\n92969 100000\n33503 50269\n25425 38067\n89357 100000\n56722 85163\n66899 100000\n15774 23570\n44183 66354\n12692 18971\n19319 28903\n72599 100000\n43316 65079\n46434 69723\n33785 50698\n43981 66058\n12612 18850\n15274 22808\n93069 100000\n99805 100000\n96087 100000\n58816 88305\n90101 100000\n19231 28765\n49204 73902\n64898 97358\n1418 2113\n34117 51184\n21219 31769\n80147 100000\n88644 100000\n37669 56530\n77136 100000\n7725 11520\n79523 100000\n95732 100000\n33529 50309\n91071 100000\n33236 49863\n16571 24755\n14552 21734\n45959 69006\n76179 100000\n82571 100000\n20144 30157\n78758 100000\n43101 64742\n59468 89268\n64100 96160\n17581 26275\n15988 23884\n29800 44662\n84196 100000\n34516 51788\n37542 56344\n90358 100000\n39389 59156\n28883 43288\n59852 89835\n62160 93277\n98610 100000\n82807 100000\n83140 100000\n45556 68392\n85148 100000\n43751 65706\n23618 35340\n48324 72581\n12418 18552\n14291 21351\n69401 100000\n15320 22876\n1291 1921\n81229 100000\n21408 32049\n76304 100000\n27111 40607\n1641 2451\n19791 29627\n73791 100000\n17470 26116\n29013 43484\n23988 35901\n60966 91497\n19144 28631\n33631 50470\n35450 53202\n23311 34882\n23572 35276\n80801 100000\n31838 47732\n99383 100000\n95411 100000\n6198 9223\n54584 81934\n95495 100000\n5256 7851\n46164 69311\n55383 83139\n71529 100000\n75573 100000\n12791 19126\n10383 15471\n51985 78057\n77405 100000\n83149 100000\n69758 100000\n10485 15620\n16499 24649\n18034 26946\n28913 43332\n26837 40188\n93986 100000\n59412 89183\n88049 100000\n11048 16490\n67276 100000\n85941 100000\n56626 85017\n22032 32988\n23684 35441\n99441 100000\n80959 100000\n28357 42486\n4023 6001\n49303 74052\n29548 44275\n37792 56712\n84540 100000\n96222 100000\n92985 100000\n74483 100000\n33534 50317\n25605 38335\n10253 15285\n44540 66886\n35019 52549\n24434 36563\n94897 100000\n96210 100000\n84953 100000\n53492 80287\n58773 88234\n49171 73852\n30577 45852\n46225 69407\n80671 100000\n98271 100000\n83555 100000\n96916 100000\n71442 100000\n50804 76307\n49426 74241\n44748 67197\n21924 32827\n38633 58008\n31801 47678\n83642 100000\n12756 19077\n26630 39875\n22711 33997\n46676 70093\n66540 99785\n1132 1679\n83778 100000\n73985 100000\n49264 73992\n30160 45206\n17698 26444\n52475 78770\n23518 35197\n64033 96063\n21202 31744\n11662 17405\n5103 7628\n92456 100000\n6595 9819\n64462 96702\n81910 100000\n23493 35165\n82550 100000\n89037 100000\n62916 94406\n86033 100000\n803 1186\n19972 29892\n53112 79711\n49307 74058\n37211 55843\n84291 100000\n86884 100000\n53553 80375\n52167 78326\n65386 98082\n73465 100000\n15765 23558\n37905 56878\n77524 100000\n75397 100000\n91248 100000\n61516 92314\n74372 100000\n73381 100000\n95643 100000\n33425 50154\n43797 65774\n97826 100000\n67030 100000\n90892 100000\n16651 24873\n11660 17402\n40910 61433\n26182 39191\n20987 31429\n89271 100000\n55144 82767\n87689 100000\n87847 100000\n43022 64625\n50310 75556\n33601 50417\n73420 100000\n61569 92390\n45526 68342\n10083 15038\n52918 79435\n72265 100000\n84450 100000\n31185 46761\n21752 32569\n53640 80506\n71961 100000\n56651 85057\n14764 22042\n2749 4093\n3838 5730\n11481 17141\n22154 33176\n49604 74506\n31367 47038\n17668 26403\n91354 100000\n77644 100000\n81289 100000\n66598 99877\n57522 86357\n25767 38573\n6540 9738\n74012 100000\n49180 73868\n95115 100000\n83839 100000\n92933 100000\n58884 88403\n22145 33162\n7868 11726\n88342 100000\n64277 96426\n23269 34822\n87078 100000\n42414 63719\n74981 100000\n8677 12934\n8996 13412\n16932 25291\n59349 89091\n34354 51532\n25865 38716\n43057 64677\n66587 99861\n22357 33481\n2848 4243\n97593 100000\n8901 13268\n59630 89509\n58054 87153\n51497 77340\n49615 74522\n26817 40155\n65005 97519\n19014 28430\n7312 10906\n86810 100000\n89123 100000\n59808 89770\n14203 21224\n12697 18979\n54189 81342\n96845 100000\n87903 100000\n99204 100000\n49710 74668\n23316 34889\n65104 97663\n6259 9315\n43714 65654\n56717 85157\n13497 20169\n88615 100000\n21965 32888\n59892 89894\n87981 100000\n6946 10345\n51373 77157\n36416 54657\n22203 33249\n68896 100000\n59544 89381\n20583 30820\n75106 100000\n43791 65763\n5676 8461\n28969 43420\n94718 100000\n75874 100000\n69257 100000\n72944 100000\n31132 46681\n56316 84553\n38693 58100\n92627 100000\n28272 42356\n90538 100000\n43282 65027\n42673 64093\n19031 28453\n33079 49630\n10563 15739\n78048 100000\n20868 31252\n67704 100000\n76119 100000\n57244 85947\n93640 100000\n55948 84004\n64566 96870\n99184 100000\n57507 86335\n41267 61982\n73535 100000\n28012 41965\n72178 100000\n78115 100000\n47392 71185\n15379 22966\n30619 45919\n79892 100000\n91293 100000\n54631 82001\n41454 62258\n68020 100000\n81547 100000\n1250 1862\n69287 100000\n87618 100000\n37313 55990\n44002 66088\n51844 77854\n32152 48216\n75166 100000\n90652 100000\n31461 47180\n71722 100000\n72280 100000\n8436 12570\n55708 83643\n85634 100000\n29008 43477\n68083 100000\n79264 100000\n43393 65192\n33180 49783\n44932 67464\n20931 31346\n77362 100000\n38561 57893\n36298 54483\n50307 75552\n44893 67407\n76300 100000\n22576 33796\n68716 100000\n41409 62196\n60896 91399\n31634 47444\n94169 100000\n27520 41231\n34083 51134\n80636 100000\n21629 32387\n210 307\n23649 35390\n88686 100000\n75613 100000\n60768 91200\n61 88\n68807 100000\n17658 26387\n72744 100000\n74792 100000\n22090 33081\n72319 100000\n87714 100000\n29345 43978\n2663 3967\n40822 61303\n59366 89116\n63570 95361\n79206 100000\n63248 94881\n44393 66670\n87794 100000\n66937 100000\n90248 100000\n78625 100000\n96769 100000\n52286 78498\n83663 100000\n64976 97474\n12921 19307\n87964 100000\n10066 15009\n39858 59855\n58247 87440\n11728 17509\n77761 100000\n36220 54374\n23981 35892\n87106 100000\n20182 30210\n79810 100000\n43902 65935\n18505 27660\n92236 100000\n32645 48961\n23286 34845\n89530 100000\n93920 100000\n40869 61375\n66989 100000\n89312 100000\n86852 100000\n33368 50073\n26839 40191\n54819 82284\n97690 100000\n81562 100000\n62419 93665\n29101 43613\n62421 93668\n44223 66412\n1035 1531\n54510 81820\n11261 16806\n8490 12650\n64515 96787\n4061 6055\n43155 64832\n75163 100000\n96927 100000\n17457 26093\n13671 20430\n73823 100000\n91346 100000\n31745 47601\n685 1009\n12076 18040\n7946 11843\n95001 100000\n76540 100000\n1652 2467\n51418 77226\n13842 20681\n51739 77694\n52277 78485\n80290 100000\n33216 49839\n27232 40784\n57073 85689\n94508 100000\n86482 100000\n98632 100000\n91774 100000\n72135 100000\n15445 23062\n78527 100000\n75952 100000\n97746 100000\n66996 100000\n43896 65925\n23996 35913\n62613 93958\n84502 100000\n91374 100000\n89884 100000\n22012 32959\n83934 100000\n97032 100000\n4694 7007\n49249 73970\n52637 79019\n9991 14899\n35716 53605\n75272 100000\n25376 37990\n47937 72007\n35961 53977\n95071 100000\n4083 6088\n23273 34826\n27898 41800\n35812 53753\n97896 100000\n51748 77705\n5685 8476\n60020 90088\n13208 19743\n39436 59230\n75866 100000\n21400 32037\n37092 55662\n89301 100000\n19363 28967\n29972 44917\n23692 35453\n68167 100000\n93963 100000\n22018 32970\n65249 97872\n43967 66037\n88356 100000\n59101 88720\n13818 20645\n516 764\n53445 80220\n4582 6851\n80738 100000\n26581 39801\n39707 59629\n79873 100000\n51754 77713\n98952 100000\n96163 100000\n91530 100000\n56437 84736\n69503 100000\n69403 100000\n43914 65954\n97193 100000\n38308 57509\n17665 26398\n42108 63238\n67241 100000\n51899 77932\n42972 64550\n8110 12090\n96482 100000\n63603 95411\n61347 92058\n69169 100000\n79041 100000\n9567 14251\n27108 40602\n64628 96965\n41366 62130\n46778 70247\n66883 100000\n60237 90409\n55718 83660\n88506 100000\n80658 100000\n69495 100000\n65717 98565\n30579 45855\n26044 38982\n80849 100000\n84787 100000\n55579 83442\n57711 86635\n45621 68498\n29380 44030\n25435 38080\n57063 85673\n89904 100000\n10490 15627\n37591 56419\n75601 100000\n5856 8724\n50939 76501\n61589 92418\n71583 100000\n7417 11069\n62634 93991\n72752 100000\n95146 100000\n91870 100000\n81656 100000\n72059 100000\n38701 58112\n84424 100000\n78782 100000\n67980 100000\n89927 100000\n23450 35104\n91690 100000\n45646 68537\n10459 15583\n73106 100000\n37873 56832\n47081 70705\n4688 6999\n1314 1958\n7895 11767\n73884 100000\n72120 100000\n83980 100000\n44101 66232\n33742 50629\n9181 13689\n59095 88711\n45033 67622\n37249 55904\n99284 100000\n60360 90584\n40385 60635\n43524 65373\n83860 100000\n79233 100000\n82018 100000\n70149 100000\n86277 100000\n62391 93626\n79898 100000\n96194 100000\n34729 52122\n63320 94990\n7486 11169\n53243 79919\n67090 100000\n87154 100000\n80676 100000\n53777 80717\n11091 16556\n34161 51253\n24186 36192\n99203 100000\n80711 100000\n31925 47868\n94007 100000\n52112 78241\n98786 100000\n28258 42337\n49391 74189\n90951 100000\n79012 100000\n92721 100000\n9818 14634\n27683 41474\n93369 100000\n20603 30849\n78312 100000\n13352 19958\n91261 100000\n40606 60978\n41519 62364\n35259 52921\n6030 8977\n56312 84546\n23940 35824\n54055 81138\n27841 41710\n81994 100000\n56637 85037\n35379 53090\n18966 28361\n50933 76491\n62433 93682\n36838 55291\n81237 100000\n60919 91433\n32912 49380\n19692 29475\n6698 9967\n49482 74322\n75388 100000\n78073 100000\n98564 100000\n25336 37929\n65835 98738\n29846 44727\n65445 98167\n16909 25260\n39422 59209\n32021 48017\n93206 100000\n21728 32533\n47501 71354\n2084 3099\n66431 99621\n6644 9888\n9204 13721\n64714 97088\n97889 100000\n41015 61596\n27319 40919\n81075 100000\n45205 67878\n5914 8807\n40828 61312\n11624 17352\n10039 14973\n83954 100000\n79139 100000\n83965 100000\n6842 10186\n75639 100000\n68579 100000\n65295 97945\n57866 86871\n6770 10076\n99156 100000\n94500 100000\n12603 18837\n35971 53993\n95277 100000\n46422 69707\n18563 27744\n76083 100000\n96715 100000\n14399 21509\n63026 94562\n95658 100000\n2566 3819\n64285 96438\n78372 100000\n87726 100000\n65807 98698\n78568 100000\n73468 100000\n51681 77609\n44003 66089\n82327 100000\n40848 61343\n48730 73188\n46903 70434\n30630 45935\n22980 34386\n39370 59127\n95183 100000\n63684 95536\n97080 100000\n25229 37768\n87234 100000\n84377 100000\n66589 99863\n12944 19343\n65554 98330\n90950 100000\n16293 24334\n71194 100000\n16586 24776\n94079 100000\n80259 100000\n89515 100000\n27487 41174\n1965 2916\n19389 29006\n9924 14801\n66562 99820\n48495 72832\n51706 77647\n41649 62555\n48442 72750\n54098 81209\n10706 15961\n45425 68206\n58018 87097\n84558 100000\n10571 15750\n77880 100000\n3965 5916\n88261 100000\n65610 98410\n61924 92924\n45051 67651\n21359 31969\n56277 84490\n78987 100000\n91694 100000\n54141 81275\n394 576\n42485 63821\n65590 98382\n1879 2796\n26119 39097\n53745 80666\n41793 62769\n82921 100000\n30819 46219\n6967 10377\n95466 100000\n72856 100000\n2737 4077\n36832 55282\n63807 95725\n46964 70524\n45698 68619\n71358 100000\n65409 98117\n34378 51572\n31193 46773\n42854 64365\n85826 100000\n2822 4206\n17876 26704\n91767 100000\n90463 100000\n82726 100000\n69073 100000\n87531 100000\n63673 95517\n16255 24277\n50668 76107\n24508 36678\n43678 65603\n17352 25927\n1914 2845\n30287 45410\n34176 51274\n42499 63839\n45818 68798\n51620 77523\n71177 100000\n37610 56447\n51499 77343\n50478 75817\n69441 100000\n90367 100000\n44629 67015\n31782 47651\n66168 99231\n76850 100000\n36332 54536\n52694 79104\n26368 39480\n51990 78065\n2487 3696\n46281 69495\n30022 44995\n2542 3784\n29731 44557\n78429 100000\n275 402\n11693 17456\n93769 100000\n41346 62100\n31522 47271\n7722 11516\n99445 100000\n61756 92665\n12620 18861\n38579 57924\n343 503\n54850 82328\n40269 60459\n4067 6064\n75060 100000\n19021 28440\n79845 100000\n42063 63167\n73226 100000\n41407 62193\n92198 100000\n19849 29709\n85598 100000\n1904 2831\n3314 4922\n45369 68118\n89372 100000\n76420 100000\n32618 48921\n70498 100000\n31172 46740\n33484 50240\n57654 86552\n85057 100000\n82767 100000\n24881 37247\n80406 100000\n24810 37137\n50689 76135\n7363 10987\n89346 100000\n77268 100000\n59778 89725\n81284 100000\n30447 45655\n38387 57634\n6083 9050\n385 564\n83267 100000\n5900 8788\n21772 32598\n32092 48125\n97915 100000\n43905 65939\n120 163\n20143 30156\n74755 100000\n58025 87108\n11266 16814\n66018 99017\n45969 69020\n55667 83582\n18671 27903\n86464 100000\n23302 34869\n85369 100000\n28147 42162\n15907 23766\n33702 50571\n83307 100000\n22953 34344\n77219 100000\n76253 100000\n5966 8886\n13138 19637\n42831 64334\n46788 70262\n42352 63628\n32909 49375\n39424 59213\n6288 9357\n68180 100000\n83275 100000\n98815 100000\n65656 98467\n84925 100000\n17805 26597\n25030 37474\n14086 21043\n37417 56155\n44416 66706\n27408 41052\n10921 16295\n89726 100000\n24162 36154\n66622 99911\n85039 100000\n90777 100000\n39971 60020\n58826 88319\n52179 78345\n78705 100000\n88407 100000\n80798 100000\n94600 100000\n29472 44162\n11793 17613\n62264 93438\n78285 100000\n538 797\n14754 22028\n20847 31217\n99555 100000\n79995 100000\n52221 78405\n87975 100000\n5934 8837\n39534 59377\n46455 69757\n3964 5915\n51795 77783\n26963 40382\n38368 57604\n14503 21654\n62196 93331\n12303 18381\n94709 100000\n98810 100000\n14661 21895\n75362 100000\n16931 25289\n86740 100000\n36322 54521\n57623 86508\n2004 2974\n98978 100000\n31125 46670\n1875 2790\n8686 12949\n95410 100000\n12747 19063\n5622 8378\n57391 86166\n52415 78684\n79131 100000\n12476 18642\n32723 49080\n21270 31848\n86267 100000\n15237 22752\n28746 43076\n67073 100000\n85242 100000\n32340 48500\n17157 25635\n32018 48011\n21366 31981\n86865 100000\n96187 100000\n8198 12224\n15740 23519\n45249 67945\n79052 100000\n83522 100000\n35805 53742\n43994 66077\n42267 63487\n40956 61504\n82277 100000\n20683 30970\n63382 95081\n65245 97866\n13810 20631\n75941 100000\n22022 32977\n45581 68434\n26967 40388\n6464 9628\n45666 68568\n6653 9900\n10839 16172\n49242 73961\n15977 23868\n56379 84652\n61221 91869\n86823 100000\n49214 73921\n41420 62212\n10865 16209\n67817 100000\n81800 100000\n59329 89061\n84192 100000\n28535 42764\n3217 4785\n21574 32304\n86031 100000\n80168 100000\n78718 100000\n56256 84456\n5015 7497\n44692 67111\n93786 100000\n54006 81064\n40559 60906\n24672 36933\n13970 20872\n80498 100000\n34690 52057\n83783 100000\n63232 94860\n35105 52684\n64169 96260\n22815 34144\n40629 61019\n5641 8408\n21626 32382\n11904 17783\n4451 6646\n34038 51072\n60986 91525\n63011 94540\n72723 100000\n75974 100000\n76630 100000\n86223 100000\n65238 97857\n45955 68999\n92871 100000\n68961 100000\n3092 4599\n36741 55140\n46683 70105\n20306 30410\n87372 100000\n8609 12829\n53395 80142\n63793 95703\n62134 93238\n69936 100000\n16700 24947\n5965 8885\n39806 59778\n58954 88509\n90524 100000\n24703 36980\n61336 92041\n60539 90854\n98627 100000\n47894 71944\n36917 55403\n71314 100000\n85 119\n76577 100000\n65821 98719\n32780 49168\n4213 6288\n58354 87600\n88852 100000\n82431 100000\n30578 45854\n88375 100000\n34517 51789\n3986 5945\n10577 15757\n92552 100000\n94266 100000\n61429 92176\n32574 48855\n55041 82611\n9953 14844\n47759 71750\n95911 100000\n18367 27453\n95557 100000\n70008 100000\n28297 42394\n20150 30164\n82766 100000\n68334 100000\n57901 86922\n93282 100000\n91099 100000\n26403 39534\n38736 58163\n74788 100000\n31967 47933\n2147 3200\n25696 38471\n27428 41083\n31532 47288\n71120 100000\n17699 26445\n43046 64663\n35788 53716\n27337 40948\n70142 100000\n307 447\n12159 18170\n67630 100000\n73846 100000\n82341 100000\n29204 43770\n84780 100000\n89576 100000\n57704 86626\n74589 100000\n19375 28989\n7436 11098\n37488 56265\n79770 100000\n99693 100000\n45588 68446\n65014 97533\n18396 27496\n38493 57790\n411 601\n56824 85318\n86394 100000\n68068 100000\n7538 11246\n54573 81917\n17793 26579\n45255 67952\n27352 40969\n95446 100000\n86003 100000\n69745 100000\n76130 100000\n85712 100000\n81716 100000\n35130 52724\n3694 5508\n6932 10325\n58714 88156\n40846 61340\n30366 45527\n46977 70544\n4920 7348\n91826 100000\n14473 21614\n14979 22356\n10072 15020\n50585 75983\n35553 53354\n14726 21984\n66365 99527\n87538 100000\n35715 53603\n51341 77111\n93093 100000\n63829 95759\n20332 30453\n84404 100000\n10016 14933\n10765 16059\n80963 100000\n86989 100000\n71170 100000\n76508 100000\n62305 93501\n471 695\n73847 100000\n33595 50409\n7023 10459\n45227 67909\n75686 100000\n72130 100000\n92637 100000\n40688 61105\n15978 23869\n65817 98715\n37382 56100\n53696 80591\n42000 63077\n75871 100000\n37587 56412\n94779 100000\n84758 100000\n89096 100000\n86020 100000\n898 1322\n23129 34608\n7469 11145\n5718 8523\n75246 100000\n27332 40940\n75165 100000\n87544 100000\n30430 45631\n56054 84162\n46933 70475\n23203 34718\n88926 100000\n90017 100000\n66006 98997\n33223 49848\n52154 78305\n3924 5852\n88609 100000\n47926 71989\n36742 55141\n33115 49680\n28057 42029\n13403 20037\n58695 88124\n66706 100000\n69059 100000\n72733 100000\n93179 100000\n56285 84504\n14835 22142\n1838 2736\n45225 67906\n73177 100000\n88960 100000\n79420 100000\n91617 100000\n86263 100000\n28756 43091\n25838 38678\n45668 68572\n32058 48072\n43812 65797\n36873 55339\n25978 38883\n2958 4402\n89359 100000\n58636 88034\n40200 60354\n29529 44246\n77286 100000\n41960 63023\n37328 56011\n41753 62709\n10315 15379\n87703 100000\n96451 100000\n35520 53309\n39037 58626\n5990 8921\n96917 100000\n42491 63828\n61094 91686\n29079 43585\n12406 18535\n96161 100000\n15376 22960\n1093 1618\n72091 100000\n36814 55256\n30465 45683\n28719 43038\n95663 100000\n30758 46125\n98443 100000\n37759 56663\n77385 100000\n63523 95293\n61532 92338\n73035 100000\n53719 80625\n80505 100000\n6586 9805\n96406 100000\n21449 32114\n98299 100000\n57364 86126\n73173 100000\n72452 100000\n90709 100000\n82283 100000\n17292 25837\n33499 50263\n22787 34102\n47199 70889\n78442 100000\n99471 100000\n79791 100000\n7685 11465\n96294 100000\n52457 78747\n26933 40334\n95229 100000\n61698 92579\n72855 100000\n85415 100000\n58493 87811\n87911 100000\n59769 89710\n67237 100000\n40332 60552\n79797 100000\n82956 100000\n74279 100000\n66188 99262\n57095 85724\n24115 36083\n90377 100000\n87211 100000\n67794 100000\n26400 39530\n35299 52974\n56280 84495\n43199 64900\n71967 100000\n33690 50554\n40068 60161\n96531 100000\n65970 98937\n80853 100000\n85818 100000\n63792 95701\n6125 9110\n5626 8384\n97205 100000\n63676 95522\n3887 5799\n6551 9755\n54706 82115\n91890 100000\n32754 49129\n16470 24602\n31151 46707\n707 1041\n20486 30674\n76498 100000\n92244 100000\n42954 64522\n28515 42736\n22479 33661\n81344 100000\n84136 100000\n91981 100000\n29876 44772\n43240 64963\n9688 14434\n31166 46732\n29573 44314\n30982 46462\n51379 77168\n30389 45564\n20925 31336\n83605 100000\n13435 20080\n70437 100000\n1773 2642\n20416 30579\n10466 15593\n80558 100000\n13338 19936\n8703 12974\n58598 87973\n29730 44556\n88802 100000\n4986 7451\n9898 14759\n75255 100000\n22425 33584\n76774 100000\n69752 100000\n26622 39861\n33661 50513\n26552 39760\n78830 100000\n57616 86498\n56688 85114\n66689 100000\n87447 100000\n33795 50712\n13600 20322\n95947 100000\n6774 10082\n52960 79499\n91780 100000\n84166 100000\n26447 39598\n95057 100000\n92927 100000\n31664 47490\n96855 100000\n45474 68272\n81814 100000\n59029 88616\n31212 46802\n69308 100000\n71151 100000\n67683 100000\n20519 30726\n40753 61202\n22902 34268\n92893 100000\n95583 100000\n11225 16748\n32890 49348\n8725 13006\n94774 100000\n47477 71316\n32924 49399\n61635 92486\n31804 47683\n58505 87830\n56644 85047\n1901 2827\n62383 93614\n74302 100000\n93462 100000\n1482 2212\n52655 79043\n65035 97566\n90727 100000\n36894 55368\n74576 100000\n58292 87511\n38028 57070\n4624 6906\n30331 45482\n16043 23964\n50098 75247\n15525 23188\n34816 52250\n6427 9567\n13157 19666\n39881 59886\n79814 100000\n6796 10117\n27599 41350\n66842 100000\n2102 3129\n1467 2189\n92738 100000\n73108 100000\n21555 32275\n31609 47403\n17636 26358\n41844 62849\n53062 79641\n96162 100000\n70073 100000\n88033 100000\n12566 18776\n67920 100000\n65480 98220\n52546 78878\n71891 100000\n9380 13989\n21006 31455\n1576 2359\n11243 16776\n70234 100000\n24775 37083\n21566 32290\n82601 100000\n49344 74113\n15508 23157\n89621 100000\n20445 30616\n78630 100000\n51791 77776\n62566 93885\n60704 91101\n33998 51008\n12438 18584\n39180 58842\n33969 50963\n13640 20384\n7917 11799\n68886 100000\n27718 41529\n52787 79237\n96195 100000\n56088 84213\n20273 30354\n52587 78939\n14297 21360\n65335 98005\n17344 25913\n54438 81710\n39045 58639\n70463 100000\n3310 4917\n76574 100000\n63362 95052\n80282 100000\n92335 100000\n89994 100000\n39130 58765\n46636 70031\n19916 29808\n90466 100000\n85978 100000\n5507 8212\n80131 100000\n44139 66287\n51352 77124\n92454 100000\n58099 87222\n15404 23002\n20958 31387\n48792 73282\n23894 35757\n68707 100000\n21539 32249\n11334 16918\n70484 100000\n74438 100000\n9248 13793\n94453 100000\n98545 100000\n67342 100000\n97726 100000\n54454 81735\n94108 100000\n56997 85578\n57625 86511\n29513 44223\n90117 100000\n18435 27554\n41158 61815\n49972 75051\n59475 89282\n91461 100000\n74085 100000\n2430 3614\n71042 100000\n31651 47469\n9739 14515\n10209 15218\n94733 100000\n40526 60858\n91859 100000\n97906 100000\n35529 53322\n91746 100000\n20351 30480\n30694 46032\n87506 100000\n87151 100000\n75476 100000\n97318 100000\n68351 100000\n89678 100000\n856 1260\n59457 89253\n85439 100000\n54057 81140\n99177 100000\n38569 57907\n76355 100000\n65761 98631\n83679 100000\n36617 54950\n28507 42725\n1258 1872\n86164 100000\n65311 97969\n70112 100000\n75373 100000\n80090 100000\n647 951\n47358 71134\n57465 86269\n86695 100000\n68027 100000\n78363 100000\n88706 100000\n67174 100000\n82833 100000\n37662 56517\n21172 31699\n20017 29966\n65119 97688\n56931 85483\n22827 34161\n53402 80152\n22493 33678\n59836 89811\n70883 100000\n46894 70421\n52467 78759\n77791 100000\n20535 30747\n23319 34894\n22355 33478\n35097 52672\n52480 78777\n11185 16693\n43767 65730\n44329 66571\n85675 100000\n66933 100000\n19933 29832\n94809 100000\n20950 31376\n825 1217\n17954 26828\n28539 42769\n97622 100000\n60943 91464\n18373 27461\n30176 45231\n72832 100000\n49222 73933\n16774 25062\n31909 47841\n93612 100000\n82489 100000\n74921 100000\n97265 100000\n19930 29828\n59138 88775\n37672 56535\n33246 49878\n48434 72738\n15456 23079\n29447 44126\n72124 100000\n70150 100000\n87793 100000\n58436 87721\n78663 100000\n75839 100000\n49293 74038\n66031 99036\n54435 81706\n17633 26353\n43853 65857\n72325 100000\n67324 100000\n52662 79054\n55050 82627\n60838 91308\n73620 100000\n3141 4673\n86791 100000\n51909 77946\n40191 60341\n16899 25244\n77744 100000\n34582 51891\n58882 88400\n7327 10931\n67152 100000\n39596 59471\n77235 100000\n18036 26950\n76484 100000\n86438 100000\n68917 100000\n61792 92723\n24685 36953\n38046 57096\n47555 71434\n21944 32857\n49278 74014\n66854 100000\n97811 100000\n94780 100000\n32133 48186\n88942 100000\n8762 13056\n61138 91755\n88918 100000\n92701 100000\n65869 98792\n20821 31182\n63920 95896\n90037 100000\n32980 49475\n92373 100000\n19884 29763\n30779 46159\n39802 59774\n45043 67638\n69472 100000\n42317 63570\n71645 100000\n81412 100000\n80342 100000\n51564 77435\n99155 100000\n33247 49879\n67922 100000\n69633 100000\n4596 6866\n24034 35967\n99287 100000\n98474 100000\n36755 55164\n33005 49516\n74666 100000\n43092 64728\n90984 100000\n81991 100000\n55899 83931\n85479 100000\n28140 42153\n84771 100000\n31357 47022\n13968 20869\n78544 100000\n22775 34085\n72129 100000\n31288 46920\n91481 100000\n96883 100000\n6867 10222\n22042 33003\n88678 100000\n71534 100000\n13070 19531\n77397 100000\n82444 100000\n32840 49262\n38583 57929\n14136 21122\n1839 2737\n32880 49331\n34413 51627\n25879 38735\n42949 64515\n69299 100000\n46965 70526\n11782 17594\n78517 100000\n16936 25298\n3318 4929\n44513 66848\n45189 67855\n49833 74852\n79411 100000\n37314 55992\n38259 57435\n95745 100000\n88546 100000\n61552 92364\n45889 68900\n71187 100000\n47597 71503\n30162 45210\n38130 57230\n46947 70498\n96280 100000\n51216 76918\n95192 100000\n66029 99033\n38589 57939\n25828 38662\n4917 7342\n2422 3602\n38916 58444\n69364 100000\n73987 100000\n10251 15282\n52613 78981\n97095 100000\n14909 22249\n51012 76610\n68779 100000\n94981 100000\n74155 100000\n98898 100000\n50298 75539\n19565 29276\n65672 98495\n99301 100000\n90115 100000\n87307 100000\n81894 100000\n40929 61462\n85729 100000\n65966 98931\n6750 10046\n99570 100000\n64774 97171\n77758 100000\n65582 98370\n57808 86783\n82328 100000\n91932 100000\n680 999\n76319 100000\n82022 100000\n2196 3269\n40570 60923\n41963 63027\n48690 73130\n40739 61181\n17258 25784\n26618 39856\n39328 59059\n93756 100000\n1545 2310\n50264 75483\n79631 100000\n19699 29487\n31689 47523\n81445 100000\n17102 25547\n42487 63823\n21399 32035\n94351 100000\n92412 100000\n97635 100000\n5082 7599\n9827 14648\n67576 100000\n69240 100000\n53234 79903\n15996 23897\n29340 43971\n10738 16015\n39863 59861\n26086 39045\n13036 19481\n591 863\n5885 8766\n91165 100000\n74221 100000\n70304 100000\n58381 87643\n61558 92373\n94585 100000\n28404 42557\n64748 97136\n41796 62774\n57320 86063\n29605 44365\n62007 93043\n2916 4345\n6537 9734\n97458 100000\n83861 100000\n66099 99131\n71841 100000\n41937 62986\n53419 80177\n76005 100000\n80907 100000\n43543 65400\n53903 80910\n58620 88006\n47201 70893\n47650 71583\n20508 30708\n45393 68155\n18419 27531\n68326 100000\n60472 90754\n87570 100000\n74391 100000\n15846 23679\n55521 83348\n89605 100000\n5234 7821\n82663 100000\n79764 100000\n76202 100000\n50650 76081\n88080 100000\n95630 100000\n11961 17864\n33477 50231\n5522 8235\n99964 100000\n37019 55560\n4700 7018\n42508 63852\n69996 100000\n16852 25175\n39230 58909\n64349 96528\n98138 100000\n40195 60347\n51822 77822\n678 996\n2818 4200\n99717 100000\n4242 6331\n83308 100000\n35127 52719\n1269 1886\n22187 33224\n23380 34994\n67831 100000\n40601 60971\n21894 32781\n39136 58775\n50375 75653\n77245 100000\n54676 82070\n31515 47259\n37834 56774\n85375 100000\n77474 100000\n30915 46360\n88994 100000\n24318 36395\n29026 43502\n87648 100000\n31262 46875\n63870 95818\n17023 25429\n73167 100000\n28251 42328\n87056 100000\n83878 100000\n82047 100000\n61088 91679\n9574 14262\n37957 56961\n84497 100000\n24237 36269\n73986 100000\n58940 88487\n81733 100000\n97727 100000\n11418 17043\n3402 5056\n13993 20908\n21923 32826\n70729 100000\n6579 9797\n74600 100000\n33476 50230\n61074 91660\n6809 10137\n33225 49851\n76203 100000\n43649 65558\n81356 100000\n60033 90108\n34429 51651\n10361 15443\n15673 23419\n84866 100000\n24873 37236\n15339 22904\n16522 24682\n70561 100000\n6777 10087\n63764 95655\n95719 100000\n1698 2533\n84756 100000\n25678 38447\n81219 100000\n75606 100000\n56806 85288\n27784 41628\n24830 37167\n7339 10952\n45332 68068\n3171 4718\n79270 100000\n61891 92872\n38480 57770\n1550 2319\n33564 50363\n29872 44765\n25458 38113\n91812 100000\n75731 100000\n73948 100000\n11516 17194\n57818 86797\n49481 74321\n69406 100000\n85624 100000\n53873 80865\n61322 92020\n51431 77245\n89462 100000\n2118 3156\n88708 100000\n53021 79589\n2488 3697\n19539 29238\n47754 71742\n96844 100000\n82433 100000\n83117 100000\n14123 21100\n29683 44489\n45550 68382\n33942 50926\n74897 100000\n52052 78153\n22249 33317\n40085 60187\n58002 87075\n47902 71956\n16058 23986\n73261 100000\n11957 17857\n48884 73423\n9962 14858\n62431 93680\n29792 44651\n96937 100000\n1982 2942\n72949 100000\n42787 64268\n75346 100000\n43831 65826\n95003 100000\n40620 61001\n89681 100000\n91114 100000\n85711 100000\n42871 64392\n18659 27887\n24107 36071\n78939 100000\n37647 56499\n45153 67797\n21704 32500\n19223 28752\n73306 100000\n29592 44345\n17945 26814\n59186 88848\n21949 32864\n94089 100000\n14166 21170\n6095 9065\n69879 100000\n91896 100000\n47756 71745\n27635 41403\n51142 76809\n897 1320\n21193 31730\n69969 100000\n31843 47740\n78087 100000\n47538 71409\n40436 60714\n74843 100000\n4409 6585\n97011 100000\n41255 61963\n84892 100000\n2099 3124\n70628 100000\n25442 38091\n49192 73884\n75138 100000\n92311 100000\n27583 41326\n31603 47397\n1785 2660\n4750 7093\n42686 64112\n96679 100000\n60930 91447\n32433 48644\n1098 1624\n56125 84264\n80572 100000\n98254 100000\n4263 6362\n92510 100000\n45830 68816\n48072 72207\n54046 81123\n97412 100000\n51889 77917\n59632 89512\n21874 32753\n6991 10414\n54099 81211\n56784 85254\n71148 100000\n23013 34433\n90374 100000\n90664 100000\n52224 78409\n96432 100000\n14656 21887\n96981 100000\n36270 54445\n47965 72052\n37741 56637\n76251 100000\n94217 100000\n57272 85990\n91409 100000\n67096 100000\n5807 8652\n64634 96972\n26947 40358\n99510 100000\n49026 73641\n44168 66331\n70256 100000\n66134 99177\n24893 37265\n61694 92573\n40095 60199\n38727 58151\n54525 81845\n10559 15732\n42230 63429\n25994 38910\n41395 62177\n27461 41135\n58678 88100\n28677 42977\n88628 100000\n43144 64815\n41173 61837\n52790 79243\n77909 100000\n79064 100000\n97350 100000\n38764 58209\n79350 100000\n44649 67044\n79803 100000\n71990 100000\n60535 90848\n62903 94386\n7658 11424\n13278 19852\n67734 100000\n63597 95402\n89352 100000\n21323 31920\n69285 100000\n93890 100000\n11349 16942\n33424 50152\n4112 6137\n50892 76430\n97359 100000\n74092 100000\n59139 88776\n43345 65123\n99412 100000\n5824 8677\n28378 42516\n74976 100000\n19117 28590\n33572 50373\n9897 14757\n51645 77558\n8931 13313\n51669 77590\n76031 100000\n73998 100000\n79195 100000\n59591 89455\n52850 79332\n32671 49005\n28522 42748\n65531 98297\n49375 74163\n23790 35604\n63447 95173\n88096 100000\n27145 40656\n42356 63633\n53389 80135\n92394 100000\n73423 100000\n28825 43201\n52023 78114\n50634 76058\n88043 100000\n42332 63594\n56820 85311\n58510 87837\n36991 55515\n61252 91911\n38881 58396\n19098 28557\n52969 79515\n97012 100000\n68162 100000\n82435 100000\n14583 21774\n7364 10989\n62385 93616\n28579 42828\n51076 76705\n1155 1718\n72536 100000\n50137 75304\n20347 30474\n89280 100000\n48342 72604\n13557 20255\n15023 22422\n13111 19598\n88756 100000\n84083 100000\n84778 100000\n23691 35452\n66732 100000\n79279 100000\n47118 70764\n45473 68271\n99106 100000\n84031 100000\n91770 100000\n25870 38721\n52019 78108\n23611 35330\n21725 32529\n18848 28177\n57668 86573\n36006 54048\n2820 4203\n51718 77665\n90229 100000\n13828 20663\n81338 100000\n32328 48480\n74896 100000\n98210 100000\n11995 17915\n49722 74687\n66820 100000\n83813 100000\n9876 14722\n41410 62198\n53597 80445\n90930 100000\n76623 100000\n81400 100000\n4433 6620\n48930 73494\n50006 75105\n74887 100000\n66241 99341\n78860 100000\n75024 100000\n12753 19072\n45942 68980\n90014 100000\n57206 85895\n32704 49054\n20687 30977\n32994 49499\n8368 12471\n49576 74462\n54932 82451\n54779 82224\n95438 100000\n43897 65927\n54161 81304\n36523 54813\n41138 61784\n5653 8425\n6778 10088\n38448 57722\n13631 20371\n82412 100000\n99234 100000\n4151 6196\n56650 85055\n56670 85085\n62470 93740\n71660 100000\n14104 21072\n77001 100000\n14428 21549\n8301 12368\n21902 32794\n36144 54260\n80734 100000\n22275 33360\n60085 90184\n22713 34000\n9477 14125\n78874 100000\n50093 75242\n64552 96847\n80387 100000\n19977 29900\n9063 13509\n44802 67278\n26347 39449\n78588 100000\n30094 45102\n62860 94326\n60296 90490\n87346 100000\n22837 34174\n90388 100000\n33577 50382\n30971 46446\n62164 93284\n79307 100000\n44419 66711\n44333 66577\n86574 100000\n12104 18084\n65942 98897\n57039 85641\n7930 11818\n41315 62057\n39388 59154\n41878 62897\n9231 13767\n68468 100000\n19335 28926\n20393 30541\n61619 92460\n55167 82803\n5634 8397\n48460 72777\n91319 100000\n81830 100000\n78047 100000\n81305 100000\n53167 79794\n8673 12927\n24615 36838\n98531 100000\n72035 100000\n52370 78620\n31812 47696\n91639 100000\n2851 4247\n66243 99345\n44854 67352\n72250 100000\n9130 13610\n53533 80346\n45578 68429\n97112 100000\n40251 60433\n54017 81080\n59235 88920\n7497 11186\n21851 32721\n81749 100000\n56655 85065\n39005 58579\n41120 61761\n8684 12945\n7981 11896\n55804 83790\n7232 10783\n62095 93177\n8331 12414\n25601 38329\n83547 100000\n54143 81278\n89797 100000\n236 343\n21415 32061\n2427 3609\n67911 100000\n50882 76418\n45674 68584\n62733 94140\n37278 55944\n28217 42277\n21527 32230\n39731 59668\n42966 64543\n10317 15383\n42987 64574\n7296 10881\n61372 92089\n38722 58143\n10702 15954\n46328 69569\n41578 62450\n45892 68903\n8770 13065\n83882 100000\n31340 46996\n61899 92886\n94109 100000\n93150 100000\n59652 89543\n26432 39575\n614 898\n13530 20218\n30416 45607\n44818 67299\n76107 100000\n23222 34753\n53935 80959\n75195 100000\n32432 48643\n99097 100000\n15475 23108\n15188 22677\n29455 44139\n11180 16686\n75877 100000\n79665 100000\n31830 47722\n97667 100000\n11086 16548\n36994 55520\n91332 100000\n72788 100000\n23539 35228\n50943 76506\n2595 3867\n3517 5235\n8602 12818\n30066 45062\n92861 100000\n85645 100000\n69297 100000\n66591 99866\n48141 72313\n89602 100000\n13596 20315\n10007 14922\n67493 100000\n68418 100000\n99613 100000\n24081 36033\n93989 100000\n34490 51748\n15311 22864\n58312 87540\n11863 17720\n67878 100000\n81328 100000\n53503 80301\n26491 39667\n50737 76204\n74711 100000\n76132 100000\n92508 100000\n44377 66646\n46450 69750\n73848 100000\n81628 100000\n50434 75748\n83185 100000\n36257 54427\n21730 32536\n80542 100000\n979 1448\n75287 100000\n28948 43386\n40800 61271\n76831 100000\n8582 12788\n38505 57809\n10230 15250\n47980 72073\n23568 35269\n30869 46295\n15889 23738\n67236 100000\n68218 100000\n94114 100000\n63720 95585\n35823 53769\n18173 27165\n44388 66662\n85894 100000\n15121 22575\n45287 67999\n41430 62226\n1389 2069\n20376 30515\n30312 45449\n18740 28012\n73553 100000\n70354 100000\n88156 100000\n38829 58313\n89091 100000\n19464 29120\n74609 100000\n64749 97138\n2465 3665\n84120 100000\n95910 100000\n65298 97949\n45596 68458\n29516 44227\n68423 100000\n99292 100000\n92007 100000\n99270 100000\n1553 2322\n65407 98113\n40182 60325\n33300 49958\n80999 100000\n79211 100000\n84252 100000\n55456 83253\n86350 100000\n89168 100000\n7738 11536\n54040 81113\n10183 15180\n24397 36510\n114 156\n28924 43350\n67949 100000\n12230 18275\n56052 84159\n13395 20024\n11814 17649\n80447 100000\n67632 100000\n63475 95220\n26775 40094\n67243 100000\n25081 37549\n51372 77155\n82276 100000\n86178 100000\n28434 42609\n65224 97837\n91520 100000\n96504 100000\n46369 69628\n97794 100000\n62259 93430\n47813 71826\n66042 99054\n79550 100000\n8397 12515\n1980 2939\n34316 51478\n83987 100000\n90187 100000\n95261 100000\n8280 12339\n67662 100000\n99963 100000\n17060 25484\n10189 15189\n42601 63992\n93136 100000\n91406 100000\n15144 22611\n957 1417\n94102 100000\n34867 52322\n82614 100000\n26619 39857\n96425 100000\n73394 100000\n2238 3331\n11989 17906\n6872 10230\n39403 59179\n9079 13534\n66267 99383\n23400 35025\n77788 100000\n18644 27863\n76186 100000\n37559 56368\n41900 62932\n37122 55710\n388 567\n904 1332\n71432 100000\n34419 51636\n55502 83321\n24572 36771\n90001 100000\n44483 66804\n85478 100000\n77622 100000\n16617 24820\n35089 52658\n80645 100000\n78977 100000\n11249 16786\n95864 100000\n62810 94249\n87173 100000\n27079 40558\n67531 100000\n43326 65092\n77985 100000\n36483 54753\n29887 44790\n24497 36660\n27294 40881\n65416 98126\n84020 100000\n35918 53911\n46895 70422\n81335 100000\n38446 57719\n33868 50821\n58266 87473\n39377 59136\n40121 60234\n91848 100000\n52639 79021\n72896 100000\n59370 89122\n13819 20647\n42042 63138\n45705 68630\n37038 55586\n7503 11195\n42868 64387\n41625 62520\n74859 100000\n36151 54269\n26720 40009\n35404 53129\n29667 44465\n37929 56918\n9888 14742\n66070 99094\n74293 100000\n79667 100000\n14218 21246\n98641 100000\n1669 2491\n14250 21291\n25318 37901\n5270 7874\n23626 35356\n4240 6327\n53105 79700\n25172 37684\n83339 100000\n25417 38054\n39166 58819\n46451 69752\n81743 100000\n32246 48354\n41951 63007\n87507 100000\n68643 100000\n19814 29659\n21357 31966\n51068 76692\n82697 100000\n68257 100000\n16229 24241\n40541 60881\n16882 25223\n67652 100000\n10988 16398\n34050 51091\n65383 98076\n99286 100000\n10979 16387\n67618 100000\n92944 100000\n34097 51152\n61844 92797\n86362 100000\n66550 99802\n20591 30832\n32637 48950\n46462 69768\n6671 9928\n13393 20020\n87982 100000\n40832 61319\n5207 7781\n52902 79410\n94776 100000\n33539 50323\n20030 29985\n70932 100000\n68008 100000\n39980 60035\n47085 70711\n76715 100000\n68296 100000\n64961 97451\n65057 97599\n79294 100000\n29971 44915\n78225 100000\n67059 100000\n92913 100000\n97551 100000\n10822 16146\n77957 100000\n2067 3071\n57119 85760\n9893 14751\n89257 100000\n61076 91663\n93633 100000\n62574 93896\n64835 97265\n62905 94389\n61427 92172\n25523 38209\n21003 31452\n12129 18124\n74035 100000\n44303 66529\n67169 100000\n7970 11879\n37005 55537\n16793 25090\n1281 1903\n65148 97728\n13083 19557\n29226 43805\n6507 9691\n1054 1561\n65911 98854\n68073 100000\n29928 44849\n61503 92294\n46813 70301\n62392 93627\n27093 40580\n62862 94329\n79221 100000\n3238 4815\n12831 19179\n91003 100000\n6421 9556\n66216 99303\n213 311\n223 324\n13456 20112\n97699 100000\n41416 62207\n5266 7867\n49024 73638\n20555 30778\n21410 32052\n58198 87364\n46095 69208\n73215 100000\n64926 97397\n5154 7704\n88126 100000\n2266 3373\n36732 55126\n60338 90551\n34746 52147\n17714 26468\n91359 100000\n80095 100000\n61609 92445\n53713 80616\n85034 100000\n83110 100000\n31734 47586\n50720 76180\n86743 100000\n45290 68004\n77932 100000\n50351 75620\n66977 100000\n36610 54939\n52209 78388\n39407 59186\n28812 43180\n855 1259\n673 989\n94410 100000\n35597 53418\n59843 89822\n96607 100000\n96427 100000\n44857 67356\n19865 29730\n38546 57873\n16445 24565\n75862 100000\n41935 62983\n5044 7539\n58430 87713\n84998 100000\n65144 97722\n1984 2945\n42655 64069\n50620 76041\n61496 92282\n85613 100000\n86647 100000\n63464 95201\n74472 100000\n46645 70043\n91624 100000\n42463 63787\n28655 42948\n30790 46175\n33718 50595\n56444 84747\n11121 16600\n49832 74850\n52095 78216\n58001 87074\n89354 100000\n76945 100000\n52972 79518\n45208 67881\n55148 82775\n55728 83674\n14504 21656\n84836 100000\n82321 100000\n16814 25120\n40499 60816\n32029 48030\n23560 35259\n59896 89901\n62563 93880\n2017 2994\n89548 100000\n26236 39275\n91428 100000\n61073 91659\n62985 94501\n89446 100000\n17883 26716\n3291 4890\n16481 24622\n79460 100000\n3155 4696\n63535 95311\n4124 6155\n54009 81069\n68295 100000\n63321 94991\n76825 100000\n80553 100000\n98958 100000\n30446 45654\n45491 68294\n21316 31912\n397 580\n49428 74243\n8033 11976\n9577 14265\n83005 100000\n30296 45425\n63545 95324\n12929 19318\n55168 82804\n90539 100000\n12889 19263\n54561 81902\n9808 14620\n48373 72648\n58180 87339\n6623 9859\n16167 24149\n90605 100000\n29647 44431\n95310 100000\n55785 83762\n49672 74610\n24740 37032\n91181 100000\n94655 100000\n3245 4828\n98148 100000\n55824 83822\n85491 100000\n74452 100000\n35351 53050\n59558 89401\n70666 100000\n83717 100000\n27026 40479\n56470 84783\n24800 37122\n51277 77010\n91706 100000\n61181 91815\n79025 100000\n57258 85970\n24014 35939\n16468 24598\n94302 100000\n76684 100000\n76264 100000\n19626 29373\n66715 100000\n51212 76912\n47952 72028\n34406 51615\n20541 30755\n23206 34724\n47143 70803\n95781 100000\n76055 100000\n15354 22923\n94255 100000\n11387 17000\n97760 100000\n53483 80274\n95604 100000\n61776 92696\n84979 100000\n47459 71283\n49418 74228\n20682 30968\n60607 90959\n87018 100000\n25971 38870\n57527 86365\n33734 50617\n26140 39130\n29584 44330\n23337 34925\n90646 100000\n64555 96851\n52033 78127\n11250 16787\n76599 100000\n64055 96092\n39887 59896\n29289 43894\n28164 42192\n87651 100000\n91991 100000\n95144 100000\n6459 9622\n96547 100000\n69902 100000\n847 1249\n46628 70020\n67815 100000\n70490 100000\n9519 14188\n19861 29724\n94908 100000\n68221 100000\n25180 37699\n62265 93440\n62556 93870\n20171 30193\n53258 79938\n56471 84785\n42731 64178\n76536 100000\n96282 100000\n65675 98499\n35278 52943\n54479 81772\n47024 70616\n70734 100000\n5465 8151\n39805 59777\n33771 50679\n90729 100000\n31213 46803\n7337 10949\n97719 100000\n43640 65546\n55137 82757\n63891 95851\n92440 100000\n69858 100000\n35167 52779\n1025 1515\n42171 63332\n99315 100000\n1328 1982\n16783 25077\n49890 74937\n48017 72126\n69377 100000\n39297 59011\n77504 100000\n47768 71764\n81529 100000\n31985 47962\n81494 100000\n69076 100000\n50873 76405\n1064 1575\n94394 100000\n9740 14517\n98963 100000\n78416 100000\n62299 93492\n35078 52640\n65283 97925\n80802 100000\n61622 92465\n32630 48940\n91148 100000\n21207 31750\n42947 64511\n29152 43687\n35334 53028\n20086 30071\n59543 89380\n95436 100000\n59096 88713\n73556 100000\n22919 34293\n43110 64756\n11803 17630\n61511 92305\n34971 52478\n66770 100000\n77233 100000\n46877 70396\n85464 100000\n67845 100000\n80453 100000\n54085 81187\n56457 84767\n62868 94338\n37483 56257\n55632 83528\n29084 43591\n62483 93761\n96717 100000\n24241 36275\n61157 91781\n68892 100000\n34608 51930\n34033 51062\n2973 4423\n85614 100000\n57161 85824\n97611 100000\n16946 25313\n66475 99692\n21742 32555\n35335 53029\n18087 27030\n54727 82147\n84519 100000\n9238 13778\n19492 29161\n58112 87240\n78984 100000\n70632 100000\n47904 71960\n47247 70965\n70849 100000\n52271 78477\n26998 40437\n5221 7804\n73070 100000\n53363 80097\n9863 14704\n19973 29894\n13236 19784\n42237 63442\n36630 54971\n18249 27278\n20115 30112\n49901 74952\n32592 48884\n80266 100000\n17864 26686\n26939 40344\n91176 100000\n65163 97747\n76473 100000\n47347 71117\n21568 32294\n4359 6507\n76899 100000\n72824 100000\n58488 87803\n72056 100000\n77742 100000\n76885 100000\n56757 85214\n78530 100000\n76674 100000\n7354 10976\n62416 93661\n78614 100000\n35768 53684\n22089 33079\n47942 72014\n90365 100000\n43564 65428\n37378 56093\n41513 62353\n83535 100000\n33104 49665\n31976 47948\n35663 53518\n53998 81053\n56193 84360\n13259 19819\n50713 76170\n10415 15518\n93682 100000\n99896 100000\n22373 33505\n39879 59883\n85444 100000\n9351 13948\n26232 39269\n77309 100000\n23726 35509\n95606 100000\n6283 9349\n92717 100000\n73253 100000\n71658 100000\n14491 21638\n61021 91578\n68701 100000\n89472 100000\n94432 100000\n99179 100000\n45615 68490\n14251 21292\n47883 71929\n34584 51895\n71097 100000\n75499 100000\n21015 31468\n49593 74488\n97952 100000\n60299 90495\n58655 88064\n8079 12044\n9007 13428\n47127 70778\n99687 100000\n12122 18111\n31777 47644\n81849 100000\n81088 100000\n1882 2801\n68993 100000\n49202 73898\n65047 97582\n31390 47073\n63380 95078\n94688 100000\n84816 100000\n15395 22989\n8990 13402\n31095 46626\n92574 100000\n41778 62748\n19633 29383\n48911 73463\n49544 74413\n61564 92383\n58941 88489\n74768 100000\n20033 29990\n88584 100000\n62306 93503\n59611 89480\n17449 26081\n27330 40938\n77398 100000\n9500 14160\n53132 79743\n75047 100000\n49574 74459\n64685 97045\n47237 70948\n57765 86711\n71384 100000\n82179 100000\n69393 100000\n34074 51120\n44851 67347\n54208 81369\n99407 100000\n37374 56086\n92713 100000\n31081 46606\n27018 40467\n84674 100000\n64123 96195\n36922 55411\n33390 50102\n91594 100000\n48516 72863\n5466 8152\n66710 100000\n78800 100000\n10531 15690\n55051 82629\n43612 65501\n38203 57341\n70661 100000\n68964 100000\n9187 13696\n98161 100000\n90603 100000\n2253 3355\n27379 41008\n66192 99269\n53849 80828\n41359 62120\n12041 17986\n36988 55510\n81643 100000\n7996 11922\n71702 100000\n5470 8158\n16795 25092\n32300 48436\n37946 56944\n39319 59047\n8325 12406\n98179 100000\n6679 9938\n54730 82151\n8944 13333\n69237 100000\n96192 100000\n47481 71323\n66344 99497\n66089 99116\n74923 100000\n64683 97042\n95977 100000\n22005 32949\n55580 83444\n98937 100000\n85770 100000\n51247 76967\n76969 100000\n60369 90599\n28953 43393\n27894 41793\n99756 100000\n10743 16023\n23142 34627\n55229 82897\n31526 47279\n5338 7975\n89669 100000\n49693 74645\n22458 33631\n72365 100000\n30529 45780\n67974 100000\n81976 100000\n66497 99726\n9839 14664\n82912 100000\n19969 29887\n33038 49567\n54448 81726\n9410 14036\n87942 100000\n44951 67495\n24913 37296\n74399 100000\n17709 26460\n36121 54227\n74668 100000\n81159 100000\n73838 100000\n26776 40096\n85480 100000\n88441 100000\n32584 48871\n90883 100000\n33123 49693\n1706 2545\n68766 100000\n96227 100000\n22540 33744\n65768 98640\n35083 52647\n9612 14320\n53044 79619\n6776 10085\n54546 81878\n97341 100000\n72496 100000\n8156 12163\n1069 1581\n7264 10834\n17985 26873\n24032 35964\n91340 100000\n29305 43919\n90924 100000\n7290 10874\n11582 17293\n47569 71454\n1618 2417\n34757 52164\n66945 100000\n68219 100000\n84802 100000\n36831 55281\n83287 100000\n17113 25562\n95371 100000\n85490 100000\n32185 48266\n91394 100000\n60156 90292\n74784 100000\n43323 65088\n59455 89250\n18600 27801\n50256 75471\n89387 100000\n62745 94154\n68592 100000\n12557 18763\n43733 65677\n49157 73833\n52515 78833\n64997 97508\n51022 76626\n75635 100000\n87845 100000\n16875 25211\n87723 100000\n81294 100000\n87088 100000\n81016 100000\n83964 100000\n47828 71848\n13277 19850\n20337 30460\n83428 100000\n50649 76080\n58562 87920\n3724 5556\n45339 68077\n26824 40165\n52119 78252\n10164 15154\n3340 4962\n39800 59771\n5031 7518\n57290 86016\n21653 32422\n38956 58502\n1327 1980\n18774 28065\n9748 14531\n72185 100000\n42628 64029\n36723 55112\n50657 76092\n33806 50728\n40030 60104\n44721 67156\n5482 8174\n986 1458\n23106 34572\n29769 44617\n48922 73480\n27768 41603\n26155 39151\n21641 32404\n1610 2407\n29522 44236\n14494 21641\n92998 100000\n4616 6895\n65800 98686\n64548 96842\n27381 41010\n90000 100000\n8497 12661\n84666 100000\n12400 18529\n60231 90400\n1458 2173\n79247 100000\n55128 82743\n9762 14552\n84339 100000\n31928 47873\n92856 100000\n26999 40439\n11007 16428\n15190 22680\n9651 14374\n96251 100000\n62653 94017\n70950 100000\n76013 100000\n1179 1755\n55613 83499\n5486 8180\n45775 68731\n96993 100000\n93980 100000\n8521 12699\n59081 88692\n61151 91774\n70031 100000\n16605 24805\n99791 100000\n9760 14550\n8243 12289\n4707 7027\n82363 100000\n17009 25412\n67629 100000\n41077 61696\n63319 94989\n97436 100000\n11615 17339\n31862 47768\n24119 36089\n6013 8956\n6587 9806\n67769 100000\n15029 22433\n49397 74198\n91893 100000\n15538 23207\n49964 75040\n75068 100000\n2044 3038\n7815 11652\n43596 65478\n57358 86118\n74158 100000\n30310 45446\n83103 100000\n88136 100000\n88319 100000\n54859 82339\n52060 78164\n30651 45968\n1737 2588\n96895 100000\n11920 17804\n842 1241\n95507 100000\n32505 48755\n3154 4694\n37379 56095\n70056 100000\n57989 87055\n32831 49247\n77188 100000\n32046 48055\n59192 88859\n52413 78681\n21502 32195\n73910 100000\n97623 100000\n52793 79248\n5230 7815\n61470 92245\n99226 100000\n17419 26033\n72053 100000\n53254 79933\n43229 64945\n33059 49599\n77580 100000\n28189 42232\n66693 100000\n51821 77821\n44793 67264\n43284 65029\n46972 70535\n77762 100000\n70111 100000\n1 2\n22503 33693\n59709 89624\n52186 78356\n83493 100000\n34425 51645\n19520 29208\n59351 89094\n87484 100000\n1830 2723\n90405 100000\n83984 100000\n9169 13670\n4161 6212\n64074 96121\n28287 42380\n27828 41691\n73645 100000\n36650 55003\n58699 88129\n88671 100000\n72255 100000\n75033 100000\n54367 81604\n6436 9582\n55023 82586\n59177 88833\n48803 73302\n31695 47531\n78583 100000\n97793 100000\n23794 35610\n6157 9161\n68163 100000\n92877 100000\n13770 20573\n76039 100000\n57495 86316\n7774 11588\n9372 13979\n32166 48240\n9147 13637\n68232 100000\n10721 15987\n88726 100000\n44111 66246\n14450 21581\n28096 42088\n27349 40963\n77186 100000\n90026 100000\n40686 61103\n7680 11458\n7024 10461\n78620 100000\n77254 100000\n45103 67722\n49621 74531\n93833 100000\n28747 43078\n11367 16968\n15574 23267\n60787 91230\n21378 32001\n21705 32501\n61352 92064\n95848 100000\n98912 100000\n22647 33899\n22348 33466\n15500 23143\n99849 100000\n38426 57691\n64888 97342\n2878 4289\n1129 1673\n33207 49826\n18292 27344\n41412 62201\n52615 78984\n31518 47264\n20792 31141\n72196 100000\n4149 6193\n62203 93343\n50217 75415\n37352 56048\n64940 97417\n58412 87691\n92122 100000\n44424 66720\n40216 60380\n89444 100000\n43546 65404\n84633 100000\n29916 44830\n9129 13609\n57217 85909\n71817 100000\n28872 43271\n1343 2003\n19165 28664\n80236 100000\n96269 100000\n21222 31774\n42528 63879\n86388 100000\n70279 100000\n1154 1716\n81807 100000\n44007 66096\n14574 21764\n52451 78737\n14173 21179\n99401 100000\n35337 53033\n89027 100000\n96684 100000\n41212 61898\n76812 100000\n34569 51871\n27577 41318\n75117 100000\n65676 98500\n27343 40956\n65968 98934\n49084 73728\n33730 50612\n81493 100000\n14228 21258\n34094 51149\n39813 59788\n75379 100000\n25327 37913\n27491 41181\n77185 100000\n18465 27597\n14366 21458\n34018 51037\n90054 100000\n3891 5805\n94387 100000\n46624 70014\n23543 35234\n28253 42330\n68526 100000\n9860 14700\n41500 62330\n25882 38739\n11670 17418\n85258 100000\n33823 50752\n8190 12212\n58030 87116\n7759 11566\n85399 100000\n56853 85364\n43679 65604\n48388 72668\n99574 100000\n51930 77975\n13160 19670\n45020 67601\n95563 100000\n90404 100000\n18107 27062\n50671 76111\n62366 93590\n24185 36191\n55598 83473\n48719 73175\n51100 76742\n61335 92039\n79076 100000\n88796 100000\n77342 100000\n97985 100000\n83121 100000\n5063 7569\n99800 100000\n37747 56647\n60107 90215\n29443 44121\n43600 65486\n53426 80188\n27224 40772\n65929 98879\n59135 88772\n78566 100000\n14755 22029\n30309 45444\n65472 98207\n85932 100000\n59406 89174\n40143 60270\n35123 52713\n16269 24300\n37047 55600\n93380 100000\n51584 77466\n9421 14053\n73187 100000\n62327 93534\n45313 68037\n76651 100000\n15325 22883\n63642 95470\n60493 90785\n70642 100000\n98192 100000\n3972 5926\n62132 93235\n88110 100000\n29847 44728\n72312 100000\n71300 100000\n92217 100000\n38677 58075\n35242 52892\n78725 100000\n3554 5290\n71560 100000\n44970 67524\n50288 75522\n62191 93324\n24352 36443\n57864 86867\n32122 48170\n30731 46084\n62152 93265\n25434 38079\n97194 100000\n19069 28511\n19079 28527\n43631 65531\n80577 100000\n68814 100000\n35561 53367\n61072 91658\n44057 66166\n45699 68621\n14662 21896\n92378 100000\n91227 100000\n58321 87555\n80606 100000\n32588 48877\n1285 1910\n11213 16730\n58492 87810\n21009 31459\n90249 100000\n16136 24104\n32338 48496\n61736 92635\n67793 100000\n21211 31756\n9470 14115\n22339 33451\n55939 83992\n44435 66737\n79070 100000\n76641 100000\n12819 19161\n54272 81462\n1015 1500\n66580 99850\n18543 27714\n21283 31867\n8975 13380\n94057 100000\n79830 100000\n32921 49394\n76843 100000\n38007 57039\n76747 100000\n21920 32821\n47991 72089\n18676 27911\n78120 100000\n65410 98118\n66003 98992\n99161 100000\n11051 16494\n44576 66935\n14271 21320\n44651 67048\n1885 2806\n70423 100000\n19294 28863\n16948 25315\n12514 18700\n52105 78230\n75962 100000\n23399 35024\n52935 79464\n91335 100000\n24421 36544\n71523 100000\n39040 58630\n29617 44384\n10300 15353\n67340 100000\n61515 92312\n9925 14802\n68787 100000\n35829 53780\n34728 52120\n63937 95920\n42151 63305\n97216 100000\n55942 83997\n18015 26918\n12327 18418\n60533 90844\n90518 100000\n8533 12716\n467 688\n56636 85035\n95687 100000\n85007 100000\n68847 100000\n12650 18903\n98856 100000\n38954 58499\n89562 100000\n85672 100000\n27965 41899\n38329 57543\n40078 60176\n73194 100000\n72175 100000\n9449 14089\n56074 84193\n86811 100000\n65917 98862\n31722 47567\n70704 100000\n66723 100000\n31592 47380\n90679 100000\n95377 100000\n42098 63222\n22128 33137\n59729 89653\n11790 17609\n51343 77113\n42531 63884\n28943 43379\n99387 100000\n50381 75661\n12634 18882\n46103 69221\n92297 100000\n86506 100000\n74154 100000\n54359 81592\n90678 100000\n95551 100000\n69165 100000\n36512 54796\n65598 98393\n31028 46526\n85969 100000\n18784 28080\n40568 60920\n54967 82503\n62756 94173\n61811 92748\n18587 27781\n34151 51237\n52418 78689\n11202 16713\n41205 61888\n21384 32012\n75450 100000\n92765 100000\n94892 100000\n92851 100000\n79518 100000\n95524 100000\n28382 42522\n96036 100000\n7571 11301\n33566 50365\n38044 57093\n30512 45757\n87781 100000\n25781 38592\n82388 100000\n23385 35002\n98824 100000\n77800 100000\n59660 89555\n30058 45049\n88851 100000\n25614 38347\n3605 5370\n75385 100000\n3017 4489\n62815 94258\n11996 17917\n30926 46377\n42945 64507\n33272 49914\n28628 42908\n73407 100000\n50062 75192\n86514 100000\n19164 28663\n20475 30655\n72350 100000\n70348 100000\n10141 15119\n58102 87226\n84290 100000\n56822 85314\n99365 100000\n27003 40446\n92855 100000\n81720 100000\n89784 100000\n2362 3511\n14570 21758\n8995 13410\n65308 97964\n31953 47911\n46237 69425\n4394 6561\n77526 100000\n8307 12377\n46614 70000\n73136 100000\n297 430\n20296 30394\n67045 100000\n91190 100000\n86678 100000\n65908 98848\n2431 3616\n34821 52258\n6612 9844\n23952 35845\n20904 31306\n96358 100000\n83236 100000\n53641 80508\n21364 31978\n75367 100000\n56519 84856\n56055 84163\n8849 13187\n56422 84714\n14569 21757\n44940 67477\n99483 100000\n11139 16625\n22628 33873\n7855 11707\n55341 83077\n22242 33307\n63430 95148\n87862 100000\n10616 15821\n14303 21368\n24797 37118\n34945 52436\n20464 30641\n12655 18911\n8910 13282\n27306 40897\n66638 99935\n7792 11618\n70706 100000\n48740 73204\n81924 100000\n53012 79575\n84982 100000\n83111 100000\n66305 99439\n37597 56425\n20755 31082\n31104 46639\n35503 53280\n84638 100000\n69735 100000\n2277 3392\n66702 100000\n50908 76454\n53500 80298\n81440 100000\n43064 64689\n54382 81627\n93787 100000\n2990 4450\n86186 100000\n77598 100000\n52537 78863\n80949 100000\n59324 89052\n73218 100000\n1591 2381\n43056 64676\n91653 100000\n29836 44713\n4812 7184\n79159 100000\n35728 53625\n85012 100000\n94812 100000\n95202 100000\n54731 82153\n44860 67360\n76416 100000\n90648 100000\n90290 100000\n34260 51397\n48097 72246\n21371 31990\n77965 100000\n12524 18714\n7938 11831\n81453 100000\n83475 100000\n33321 49996\n25357 37959\n40553 60898\n62255 93423\n66985 100000\n32569 48847\n15910 23770\n13869 20724\n50140 75307\n89461 100000\n44534 66879\n83072 100000\n75624 100000\n64875 97324\n69502 100000\n19727 29530\n44562 66916\n97831 100000\n12183 18203\n98472 100000\n24132 36106\n57087 85710\n35001 52525\n30273 45385\n72492 100000\n708 1043\n19961 29874\n47517 71375\n31998 47982\n23806 35629\n91153 100000\n19616 29354\n76913 100000\n16249 24269\n33468 50220\n74621 100000\n2468 3670\n78752 100000\n55256 82941\n58310 87537\n30114 45135\n5222 7806\n77711 100000\n87263 100000\n86015 100000\n40505 60825\n87130 100000\n1685 2511\n30119 45143\n28968 43418\n32888 49346\n53948 80979\n53842 80819\n46071 69170\n7615 11362\n12817 19158\n22875 34231\n45918 68943\n82031 100000\n36721 55110\n30827 46231\n8543 12728\n53423 80184\n61742 92644\n95222 100000\n94170 100000\n18914 28281\n32069 48089\n3950 5892\n80319 100000\n691 1017\n1968 2921\n74728 100000\n18300 27357\n20331 30451\n30931 46386\n79904 100000\n10589 15777\n98413 100000\n94088 100000\n59701 89614\n36925 55415\n84854 100000\n55398 83164\n85690 100000\n2847 4241\n58262 87466\n83302 100000\n66949 100000\n61847 92801\n18460 27591\n78451 100000\n54477 81770\n68764 100000\n61804 92739\n10723 15991\n5068 7576\n62995 94515\n76746 100000\n9768 14563\n10027 14954\n21529 32234\n74020 100000\n17819 26620\n4626 6908\n97535 100000\n47609 71521\n29882 44782\n11791 17610\n57512 86342\n5145 7693\n11391 17005\n29129 43653\n4457 6655\n42174 63336\n57856 86854\n11177 16680\n24637 36872\n98023 100000\n86960 100000\n29370 44015\n45446 68235\n4170 6226\n62864 94332\n92266 100000\n56027 84118\n60597 90943\n84895 100000\n77010 100000\n55062 82645\n41950 63005\n50378 75657\n93570 100000\n29927 44847\n427 623\n22066 33042\n89527 100000\n4458 6656\n41034 61629\n82985 100000\n86375 100000\n63224 94846\n27085 40568\n2743 4085\n16112 24069\n49649 74570\n91510 100000\n42726 64172\n14197 21214\n6495 9677\n65191 97790\n10545 15709\n40256 60441\n80984 100000\n50342 75607\n15282 22822\n61864 92831\n12639 18888\n46931 70472\n39482 59304\n68939 100000\n82576 100000\n47190 70874\n80455 100000\n68754 100000\n41730 62675\n43168 64851\n7665 11434\n2376 3533\n26575 39792\n19677 29451\n77230 100000\n7400 11045\n95045 100000\n60767 91199\n81725 100000\n29753 44591\n24778 37086\n80673 100000\n32711 49064\n93079 100000\n95894 100000\n7640 11401\n53061 79640\n98697 100000\n7639 11399\n16018 23931\n59623 89499\n81886 100000\n52558 78893\n88065 100000\n77463 100000\n52118 78250\n3821 5705\n5117 7649\n69477 100000\n9118 13593\n49548 74417\n43419 65231\n28592 42851\n90759 100000\n94571 100000\n66129 99170\n64356 96538\n82521 100000\n84794 100000\n31307 46947\n28505 42722\n92853 100000\n78679 100000\n20304 30407\n47319 71069\n50326 75584\n96315 100000\n1030 1521\n85102 100000\n59696 89606\n75797 100000\n54491 81791\n39998 60060\n41140 61786\n76499 100000\n58994 88568\n40535 60871\n56937 85489\n80876 100000\n46376 69638\n13534 20222\n82078 100000\n76596 100000\n99491 100000\n68031 100000\n48005 72108\n31360 47026\n13799 20615\n12092 18065\n8267 12320\n24699 36974\n95624 100000\n15496 23136\n71473 100000\n30235 45325\n52854 79336\n29030 43509\n11935 17826\n33303 49962\n14610 21815\n62136 93240\n11503 17174\n86431 100000\n87706 100000\n98715 100000\n78845 100000\n82898 100000\n95276 100000\n57113 85752\n42333 63595\n58291 87509\n94802 100000\n88480 100000\n77993 100000\n61487 92268\n32877 49327\n27972 41910\n52243 78436\n97076 100000\n82651 100000\n48167 72349\n32208 48299\n56980 85553\n1851 2755\n71411 100000\n912 1344\n99917 100000\n64271 96418\n9596 14294\n12213 18249\n55648 83551\n5030 7517\n60424 90684\n5907 8798\n64912 97378\n31176 46747\n38521 57836\n18854 28185\n8270 12324\n36286 54467\n96047 100000\n7217 10760\n48260 72493\n28143 42157\n63102 94665\n74715 100000\n60316 90520\n83911 100000\n2075 3086\n77523 100000\n94194 100000\n79701 100000\n51051 76667\n41180 61849\n49402 74204\n52647 79031\n4755 7099\n86822 100000\n21670 32449\n40298 60504\n88487 100000\n25370 37981\n72726 100000\n92936 100000\n79008 100000\n74038 100000\n48248 72473\n46246 69439\n32267 48384\n20461 30638\n44338 66585\n96762 100000\n70534 100000\n27592 41341\n56989 85567\n33163 49757\n15625 23349\n8747 13033\n45508 68317\n67864 100000\n8001 11930\n57210 85899\n35300 52975\n49709 74667\n50605 76017\n42696 64126\n15115 22565\n65828 98729\n56627 85019\n68561 100000\n93759 100000\n47479 71319\n87025 100000\n90583 100000\n7431 11090\n44088 66214\n78554 100000\n58051 87149\n85220 100000\n58864 88373\n33124 49695\n77796 100000\n4985 7449\n18593 27791\n37134 55730\n56819 85309\n29651 44437\n70265 100000\n40041 60122\n80166 100000\n9386 13998\n44899 67415\n96626 100000\n97834 100000\n33639 50483\n57917 86946\n99141 100000\n38608 57969\n49442 74263\n22790 34106\n30610 45905\n63844 95779\n43574 65446\n99747 100000\n34894 52360\n67749 100000\n28504 42721\n20031 29986\n57846 86839\n9228 13761\n10590 15779\n17989 26877\n7174 10693\n57335 86084\n384 563\n90174 100000\n63338 95017\n82634 100000\n68543 100000\n62736 94144\n93332 100000\n23614 35334\n28739 43066\n5568 8299\n56977 85547\n98263 100000\n98854 100000\n17943 26810\n70035 100000\n843 1243\n93452 100000\n39562 59418\n8125 12112\n52390 78650\n36886 55358\n67571 100000\n32155 48221\n58945 88496\n95423 100000\n74743 100000\n81601 100000\n87272 100000\n60947 91469\n65159 97741\n1365 2036\n60818 91280\n19555 29261\n991 1464\n20544 30761\n20884 31276\n68272 100000\n17033 25442\n58463 87764\n45421 68199\n56183 84347\n94834 100000\n39411 59192\n74363 100000\n96247 100000\n99645 100000\n87164 100000\n83868 100000\n67556 100000\n72976 100000\n56358 84618\n34478 51727\n61747 92650\n4842 7228\n80917 100000\n41883 62906\n54829 82297\n2336 3474\n16685 24923\n74357 100000\n13862 20711\n69621 100000\n71396 100000\n19629 29376\n71929 100000\n83036 100000\n31556 47326\n40124 60238\n689 1014\n4337 6477\n62360 93580\n70199 100000\n68659 100000\n35459 53213\n87512 100000\n8534 12718\n99622 100000\n24468 36616\n52897 79403\n18779 28072\n14731 21991\n81896 100000\n30397 45578\n77979 100000\n59873 89866\n37939 56934\n60973 91507\n86420 100000\n36822 55268\n51034 76641\n14686 21932\n32528 48786\n48785 73271\n3498 5203\n21521 32223\n28849 43239\n598 873\n10269 15308\n35543 53339\n21615 32365\n2547 3791\n45381 68137\n56781 85251\n77987 100000\n53620 80480\n66229 99324\n11999 17923\n16984 25368\n5333 7968\n64613 96942\n72403 100000\n17068 25497\n85763 100000\n77657 100000\n54449 81728\n31088 46616\n51355 77129\n17207 25714\n36800 55233\n58837 88334\n10578 15758\n23268 34821\n23079 34529\n6490 9670\n24045 35985\n49380 74171\n69291 100000\n92003 100000\n58337 87577\n2558 3806\n22675 33944\n75915 100000\n7336 10947\n54957 82488\n24988 37413\n990 1463\n93259 100000\n70621 100000\n40937 61476\n31810 47692\n27398 41035\n90197 100000\n82199 100000\n94894 100000\n21592 32332\n67292 100000\n30878 46307\n42756 64220\n38993 58561\n37851 56798\n12035 17975\n51274 77006\n15872 23714\n2976 4428\n2805 4180\n64882 97334\n44155 66310\n48977 73566\n29184 43738\n91072 100000\n50660 76095\n91871 100000\n30677 46011\n57147 85801\n58894 88421\n76414 100000\n91505 100000\n10596 15789\n62876 94347\n2251 3353\n38008 57041\n616 901\n98870 100000\n7366 10992\n65433 98150\n96779 100000\n65033 97562\n86196 100000\n43230 64947\n75662 100000\n82825 100000\n31852 47753\n8237 12281\n92282 100000\n91311 100000\n45152 67796\n20833 31196\n63568 95358\n56848 85357\n19639 29394\n94224 100000\n28563 42805\n15185 22674\n20650 30923\n88917 100000\n87808 100000\n15357 22928\n109 149\n23795 35612\n5461 8146\n8115 12098\n7791 11616\n35081 52644\n40903 61426\n18983 28389\n11482 17142\n93648 100000\n87743 100000\n79215 100000\n93854 100000\n18830 28150\n74266 100000\n73596 100000\n57438 86230\n70775 100000\n65179 97773\n32504 48753\n89338 100000\n20839 31206\n28856 43249\n64802 97214\n26818 40156\n60103 90209\n89064 100000\n74285 100000\n46149 69290\n34688 52054\n77583 100000\n56770 85234\n93357 100000\n2532 3770\n67291 100000\n64014 96035\n53591 80434\n23343 34934\n99688 100000\n46425 69712\n69566 100000\n54032 81104\n62977 94490\n5853 8719\n60188 90339\n82331 100000\n47442 71256\n91288 100000\n54901 82404\n52973 79520\n26370 39484\n90212 100000\n71313 100000\n22179 33214\n47823 71841\n53921 80936\n5843 8706\n45123 67754\n27483 41169\n18825 28143\n51603 77497\n5399 8060\n39007 58582\n21886 32770\n10846 16182\n91033 100000\n2920 4350\n79571 100000\n10376 15462\n97414 100000\n76236 100000\n25395 38020\n2343 3483\n73480 100000\n43828 65822\n85373 100000\n58049 87146\n37751 56652\n48598 72983\n85954 100000\n21910 32806\n24226 36252\n99563 100000\n63343 95025\n24698 36972\n49395 74195\n20630 30892\n46353 69605\n99474 100000\n73685 100000\n67790 100000\n21688 32476\n97340 100000\n24997 37429\n27593 41342\n52914 79428\n8146 12148\n59814 89780\n7537 11244\n12744 19059\n59777 89724\n37990 57009\n96651 100000\n76451 100000\n39277 58982\n25515 38195\n53857 80842\n46774 70242\n21810 32654\n50747 76220\n63884 95839\n61137 91753\n62440 93692\n21390 32020\n77871 100000\n66069 99092\n51058 76677\n78418 100000\n2405 3578\n13255 19814\n45518 68332\n51152 76824\n171 243\n47861 71897\n18727 27993\n98730 100000\n97601 100000\n75500 100000\n66524 99764\n84682 100000\n32492 48736\n77311 100000\n37473 56239\n55814 83807\n95766 100000\n39935 59968\n59865 89855\n64194 96297\n97870 100000\n63200 94812\n79832 100000\n65275 97911\n29863 44752\n3474 5167\n85654 100000\n67818 100000\n26515 39698\n76342 100000\n7634 11391\n4477 6682\n55236 82909\n4981 7443\n40592 60956\n26328 39420\n4571 6835\n50052 75176\n37070 55631\n84278 100000\n26665 39928\n58094 87216\n49550 74420\n1528 2283\n53119 79722\n64497 96758\n29777 44626\n25824 38656\n42100 63224\n62337 93549\n29641 44420\n79048 100000\n45583 68438\n6456 9617\n70477 100000\n76861 100000\n93032 100000\n65547 98320\n9816 14631\n31230 46830\n77112 100000\n15193 22684\n68260 100000\n58014 87092\n76571 100000\n58843 88344\n34964 52468\n48626 73027\n68868 100000\n91795 100000\n54204 81363\n72191 100000\n87282 100000\n38606 57967\n59404 89171\n82776 100000\n11826 17668\n89303 100000\n64857 97297\n82417 100000\n15883 23731\n89156 100000\n58136 87275\n82012 100000\n82998 100000\n41603 62490\n3832 5721\n91716 100000\n16451 24573\n61382 92105\n45496 68302\n48128 72296\n62614 93960\n41897 62927\n58509 87836\n1637 2446\n32285 48412\n74828 100000\n19707 29500\n11437 17075\n24109 36074\n18785 28082\n14063 21011\n86309 100000\n16496 24645\n60612 90966\n44048 66152\n90987 100000\n10210 15219\n55715 83655\n23089 34544\n40667 61073\n79861 100000\n59072 88680\n38372 57611\n93658 100000\n72541 100000\n73790 100000\n95200 100000\n21185 31718\n20806 31160\n72604 100000\n43972 66045\n34336 51506\n52669 79065\n92143 100000\n10588 15775\n94481 100000\n77250 100000\n39597 59473\n95625 100000\n56334 84580\n14137 21123\n19367 28973\n66632 99926\n86222 100000\n53295 79992\n64450 96681\n31879 47795\n79502 100000\n33440 50177\n9664 14396\n14048 20987\n95574 100000\n27564 41298\n99455 100000\n40787 61251\n92429 100000\n26595 39823\n52487 78788\n6161 9167\n99499 100000\n4739 7075\n35263 52925\n65332 98000\n47027 70620\n2023 3002\n67212 100000\n20470 30649\n61222 91870\n60570 90902\n18896 28254\n60102 90207\n56602 84978\n28481 42686\n12581 18802\n27100 40591\n91011 100000\n93991 100000\n82035 100000\n16095 24044\n31866 47775\n31355 47019\n54519 81834\n36307 54497\n27834 41700\n67456 100000\n94371 100000\n14600 21799\n88347 100000\n52141 78283\n24029 35960\n3225 4797\n91044 100000\n61407 92142\n67070 100000\n41893 62920\n77175 100000\n65172 97763\n27671 41456\n21155 31675\n81945 100000\n81409 100000\n85940 100000\n65301 97955\n16976 25356\n35897 53882\n278 407\n16660 24886\n74888 100000\n83872 100000\n60549 90869\n19552 29258\n21804 32645\n22223 33276\n76296 100000\n41218 61908\n91163 100000\n28736 43061\n68090 100000\n4462 6661\n26322 39411\n82421 100000\n78700 100000\n74067 100000\n6756 10054\n43685 65611\n9331 13919\n22190 33230\n73981 100000\n5493 8189\n66639 99937\n54834 82305\n57291 86017\n47157 70824\n41771 62736\n45774 68729\n82062 100000\n81351 100000\n46603 69982\n92284 100000\n38545 57872\n47310 71055\n84053 100000\n71705 100000\n5084 7602\n74394 100000\n71653 100000\n20321 30435\n6054 9010\n2031 3016\n48789 73277\n42639 64048\n11958 17858\n3906 5827\n41659 62573\n98781 100000\n47631 71554\n70754 100000\n13193 19719\n50251 75464\n77950 100000\n78603 100000\n35416 53147\n74909 100000\n79878 100000\n8985 13395\n9986 14891\n5864 8734\n11322 16898\n34320 51484\n69727 100000\n96064 100000\n5130 7670\n63195 94804\n57263 85977\n79143 100000\n35583 53399\n66420 99604\n47907 71965\n18242 27268\n24561 36756\n79054 100000\n1073 1588\n79535 100000\n25633 38373\n59731 89656\n10622 15827\n86106 100000\n37197 55823\n92989 100000\n20121 30121\n49094 73742\n50568 75958\n24528 36706\n78268 100000\n22776 34087\n54523 81841\n82867 100000\n48560 72928\n19825 29677\n78631 100000\n51436 77253\n97158 100000\n58122 87257\n24092 36050\n70285 100000\n81444 100000\n95617 100000\n80918 100000\n28895 43306\n74231 100000\n6614 9847\n30003 44967\n22552 33762\n32977 49471\n62845 94301\n73960 100000\n57796 86761\n29326 43952\n51330 77092\n93706 100000\n22577 33798\n66149 99200\n52786 79236\n9945 14832\n96876 100000\n81393 100000\n30775 46153\n51205 76903\n51265 76993\n6479 9653\n78200 100000\n33673 50530\n75812 100000\n42573 63949\n48398 72684\n89390 100000\n94048 100000\n45709 68634\n8471 12625\n14415 21532\n94814 100000\n53740 80659\n35331 53023\n23641 35378\n26877 40249\n94292 100000\n31918 47856\n3408 5063\n310 450\n35196 52822\n92053 100000\n57778 86731\n6573 9789\n60809 91263\n93922 100000\n56026 84116\n32654 48976\n88220 100000\n20427 30593\n8445 12584\n99426 100000\n7146 10653\n86886 100000\n27667 41450\n51234 76948\n96456 100000\n39375 59133\n79756 100000\n76548 100000\n1318 1965\n4041 6025\n18222 27239\n84139 100000\n47454 71275\n58869 88381\n98617 100000\n17672 26408\n1816 2702\n40962 61512\n65138 97715\n45117 67746\n21729 32534\n36212 54362\n8671 12923\n12825 19170\n7081 10550\n59541 89376\n10103 15066\n76523 100000\n56095 84222\n60396 90641\n88364 100000\n35285 52953\n67899 100000\n61218 91864\n49199 73894\n25230 37769\n33365 50069\n27030 40483\n64254 96390\n64051 96087\n64724 97103\n42453 63776\n44374 66641\n44410 66698\n45385 68145\n59153 88801\n35006 52532\n15852 23687\n11609 17330\n4484 6692\n48724 73182\n35426 53163\n43107 64751\n2896 4318\n29471 44161\n6882 10247\n11777 17585\n10889 16244\n9715 14476\n36613 54944\n53059 79638\n9206 13725\n54333 81555\n32879 49330\n31922 47862\n62981 94495\n75209 100000\n70577 100000\n69378 100000\n59058 88661\n50753 76231\n18130 27099\n66460 99667\n96010 100000\n97938 100000\n18274 27320\n69511 100000\n96935 100000\n84508 100000\n76190 100000\n85387 100000\n87044 100000\n63426 95143\n66379 99547\n70129 100000\n3084 4588\n78074 100000\n6103 9079\n37487 56264\n84270 100000\n21043 31507\n25821 38652\n94418 100000\n35732 53631\n70092 100000\n16859 25185\n65954 98915\n71684 100000\n73905 100000\n57196 85878\n18549 27723\n33168 49763\n1335 1994\n24339 36423\n81961 100000\n93965 100000\n99294 100000\n99258 100000\n94296 100000\n86358 100000\n25875 38729\n62978 94491\n27543 41266\n28987 43447\n74320 100000\n82259 100000\n66446 99646\n60951 91476\n63211 94829\n11810 17642\n12038 17981\n80769 100000\n94485 100000\n88402 100000\n13595 20313\n66700 100000\n37555 56363\n76749 100000\n41348 62104\n7415 11067\n44487 66810\n57467 86272\n28572 42818\n85649 100000\n46686 70109\n90050 100000\n29351 43986\n1765 2629\n75391 100000\n51888 77915\n84811 100000\n41025 61614\n44489 66813\n67186 100000\n77531 100000\n95491 100000\n11493 17160\n94115 100000\n85621 100000\n77719 100000\n5114 7645\n8713 12990\n28308 42410\n24840 37185\n9 13\n69468 100000\n98648 100000\n14429 21550\n48423 72720\n70176 100000\n70928 100000\n43561 65424\n47578 71468\n43143 64813\n48705 73154\n79030 100000\n16482 24623\n84219 100000\n85187 100000\n58572 87934\n34237 51363\n85089 100000\n14014 20940\n29848 44730\n54628 81996\n38562 57895\n86293 100000\n28054 42025\n20569 30799\n1517 2267\n53923 80939\n35847 53805\n80922 100000\n50931 76487\n5975 8901\n46177 69331\n2435 3621\n22744 34045\n29947 44879\n94005 100000\n22673 33940\n9376 13984\n8960 13357\n97329 100000\n25890 38751\n10876 16225\n48925 73486\n36984 55505\n86413 100000\n12221 18262\n91088 100000\n84482 100000\n11726 17505\n2091 3111\n3000 4465\n687 1011\n71417 100000\n72112 100000\n10326 15395\n3335 4956\n15848 23681\n27197 40731\n3426 5091\n73745 100000\n36351 54564\n98572 100000\n3561 5300\n74373 100000\n55321 83044\n66275 99396\n17780 26556\n82124 100000\n10368 15453\n31960 47920\n14568 21755\n78281 100000\n66546 99795\n60203 90361\n68145 100000\n99349 100000\n36585 54901\n51310 77062\n6973 10386\n11619 17345\n62930 94425\n81292 100000\n45960 69007\n70438 100000\n74316 100000\n49194 73888\n74672 100000\n8390 12504\n28180 42218\n87787 100000\n21957 32877\n17001 25397\n75444 100000\n79611 100000\n71236 100000\n60984 91521\n27019 40469\n66014 99009\n16717 24974\n98566 100000\n83518 100000\n47080 70704\n57935 86973\n53127 79734\n35498 53272\n50571 75964\n39941 59976\n41825 62819\n78567 100000\n23313 34884\n99816 100000\n70608 100000\n95053 100000\n8400 12519\n8511 12684\n26489 39664\n39458 59263\n87636 100000\n55665 83579\n33933 50913\n41393 62173\n47363 71142\n15672 23417\n9628 14341\n41831 62829\n69312 100000\n35016 52545\n32585 48872\n51439 77259\n97156 100000\n48126 72294\n5413 8084\n62659 94026\n62690 94076\n98310 100000\n2484 3692\n78648 100000\n40950 61496\n52508 78820\n15297 22843\n4080 6083\n62352 93571\n39787 59752\n23032 34462\n94584 100000\n32274 48395\n81773 100000\n83026 100000\n47788 71792\n49997 75094\n6820 10151\n51869 77889\n20170 30191\n82459 100000\n20307 30412\n45025 67609\n28737 43063\n24368 36468\n59594 89458\n73322 100000\n58821 88311\n20990 31433\n9041 13478\n45030 67616\n53725 80635\n9767 14562\n98186 100000\n77052 100000\n20846 31216\n4233 6317\n55265 82956\n6850 10197\n19723 29525\n59764 89704\n77449 100000\n94016 100000\n23514 35192\n23738 35528\n25462 38120\n28349 42474\n62382 93613\n10806 16121\n28575 42822\n23953 35846\n92849 100000\n93781 100000\n75164 100000\n88067 100000\n10867 16212\n36576 54886\n7796 11624\n34623 51953\n38529 57850\n13071 19533\n77988 100000\n13918 20794\n81263 100000\n78742 100000\n94922 100000\n96138 100000\n19826 29679\n60421 90678\n11576 17285\n67885 100000\n92390 100000\n2564 3816\n67883 100000\n30036 45016\n35919 53912\n33337 50020\n89773 100000\n53053 79629\n37602 56433\n31422 47124\n75733 100000\n42156 63311\n73219 100000\n99954 100000\n79958 100000\n13297 19879\n61930 92930\n23780 35589\n67217 100000\n46038 69120\n74270 100000\n71768 100000\n69975 100000\n35188 52810\n57659 86559\n99859 100000\n3938 5874\n36688 55063\n59393 89158\n23828 35662\n53428 80192\n69037 100000\n17229 25742\n64572 96878\n45730 68663\n76994 100000\n66173 99240\n15100 22542\n14826 22130\n8160 12169\n89646 100000\n90470 100000\n33886 50846\n83145 100000\n6133 9124\n24764 37068\n33140 49721\n47706 71669\n77078 100000\n82242 100000\n91788 100000\n70055 100000\n67034 100000\n42941 64501\n37878 56840\n60705 91103\n75963 100000\n44169 66332\n8310 12382\n93618 100000\n21701 32497\n18489 27635\n53839 80814\n84965 100000\n85626 100000\n89430 100000\n63986 95991\n84051 100000\n60765 91195\n29252 43840\n95196 100000\n79299 100000\n35367 53073\n21896 32785\n34817 52252\n95253 100000\n30093 45101\n22963 34360\n59825 89794\n16588 24779\n63179 94780\n43677 65601\n4346 6490\n43758 65718\n39843 59834\n20779 31119\n97282 100000\n93142 100000\n20224 30273\n72117 100000\n8034 11978\n77726 100000\n38170 57290\n75226 100000\n70338 100000\n36030 54085\n71850 100000\n7944 11839\n98899 100000\n12375 18492\n46525 69864\n96374 100000\n81093 100000\n20478 30660\n86782 100000\n99099 100000\n47470 71303\n36655 55011\n86709 100000\n77616 100000\n86137 100000\n74413 100000\n1393 2075\n39242 58926\n66189 99264\n50129 75292\n92967 100000\n16567 24750\n75383 100000\n86454 100000\n63790 95697\n14848 22160\n53892 80895\n29918 44832\n36817 55262\n76280 100000\n9570 14256\n45944 68982\n68931 100000\n82741 100000\n15265 22793\n16821 25130\n22868 34221\n62444 93697\n42618 64016\n14674 21915\n51105 76750\n20840 31207\n7320 10919\n54353 81585\n66784 100000\n15504 23151\n62186 93317\n97980 100000\n13295 19875\n8106 12086\n98695 100000\n20673 30955\n34338 51509\n41714 62652\n23739 35530\n76776 100000\n59582 89439\n88158 100000\n43953 66011\n91368 100000\n38208 57349\n18479 27619\n54550 81884\n96520 100000\n63500 95259\n5786 8623\n2950 4390\n41080 61701\n44055 66163\n39479 59299\n31972 47942\n32051 48062\n92342 100000\n54319 81534\n26657 39916\n66893 100000\n49986 75074\n23177 34680\n38332 57548\n6487 9666\n58497 87818\n28367 42500\n97557 100000\n86406 100000\n52146 78291\n38310 57512\n53006 79566\n30271 45382\n18886 28236\n6253 9305\n36899 55376\n51019 76621\n74770 100000\n60983 91520\n69531 100000\n31471 47193\n30803 46196\n69434 100000\n3669 5470\n64034 96064\n25911 38780\n90164 100000\n21461 32134\n41614 62505\n33131 49706\n70201 100000\n49104 73755\n53032 79603\n15287 22829\n78510 100000\n75436 100000\n78937 100000\n14749 22021\n97444 100000\n87080 100000\n96954 100000\n13366 19978\n45160 67805\n21928 32834\n55510 83333\n26568 39780\n71931 100000\n5362 8005\n83156 100000\n71343 100000\n67936 100000\n78702 100000\n33650 50497\n35795 53727\n12967 19380\n84478 100000\n35828 53778\n62506 93794\n88825 100000\n59520 89348\n23927 35805\n55496 83312\n35315 52999\n21312 31905\n19593 29321\n30145 45182\n24538 36720\n53173 79801\n3149 4687\n4338 6478\n92201 100000\n56096 84223\n84055 100000\n81574 100000\n74723 100000\n59194 88862\n55513 83337\n94847 100000\n83747 100000\n13125 19619\n18762 28047\n65666 98486\n80826 100000\n37412 56147\n26374 39490\n46000 69067\n69324 100000\n3368 5005\n86684 100000\n30734 46090\n90673 100000\n32366 48536\n43279 65023\n61226 91875\n7440 11102\n6214 9247\n60323 90530\n37437 56186\n39683 59596\n93496 100000\n70948 100000\n2078 3090\n67489 100000\n66624 99915\n20937 31354\n26982 40410\n51884 77909\n68465 100000\n68359 100000\n60068 90161\n74397 100000\n38984 58548\n30408 45596\n66422 99608\n83196 100000\n47854 71887\n90933 100000\n46405 69681\n51371 77153\n83942 100000\n49466 74299\n6911 10291\n18139 27113\n86265 100000\n7704 11490\n71220 100000\n76352 100000\n41610 62499\n44908 67429\n34467 51712\n49764 74747\n1419 2115\n54813 82277\n33999 51010\n54613 81974\n22632 33877\n24079 36031\n41455 62260\n92215 100000\n42862 64377\n56228 84412\n33944 50928\n64745 97131\n50946 76510\n21872 32750\n71447 100000\n51313 77067\n35765 53679\n66478 99695\n94282 100000\n8375 12483\n37135 55731\n19978 29902\n59215 88892\n42626 64027\n67140 100000\n66741 100000\n46566 69929\n16508 24662\n94130 100000\n88390 100000\n17526 26196\n83952 100000\n24537 36719\n99324 100000\n47675 71623\n33432 50163\n58476 87782\n24070 36017\n29624 44394\n28059 42032\n38199 57334\n42523 63872\n74966 100000\n55211 82867\n81227 100000\n67945 100000\n39266 58962\n88438 100000\n13019 19456\n98594 100000\n78833 100000\n32327 48478\n72171 100000\n10523 15677\n93288 100000\n35929 53928\n77410 100000\n16652 24874\n98280 100000\n8605 12822\n31614 47411\n25219 37753\n71780 100000\n22722 34013\n8339 12425\n35608 53437\n20455 30630\n8088 12059\n2787 4153\n46311 69543\n83271 100000\n71178 100000\n34057 51099\n50302 75545\n26498 39676\n2927 4360\n47698 71655\n16877 25215\n55533 83371\n98486 100000\n33920 50893\n90162 100000\n64763 97157\n70652 100000\n10627 15834\n65504 98257\n98070 100000\n58797 88272\n75898 100000\n94879 100000\n67466 100000\n62200 93337\n13060 19516\n7580 11313\n11611 17334\n35448 53199\n91458 100000\n88205 100000\n4 5\n3461 5146\n53916 80929\n26902 40287\n3380 5023\n44083 66206\n46959 70517\n36022 54072\n95332 100000\n8934 13318\n91465 100000\n22311 33411\n42357 63634\n64407 96614\n22824 34157\n88820 100000\n56517 84852\n17997 26889\n22558 33771\n14889 22222\n85926 100000\n40561 60908\n31031 46529\n10918 16290\n68778 100000\n82580 100000\n95949 100000\n24634 36869\n60221 90385\n30078 45080\n96540 100000\n38813 58287\n98177 100000\n12859 19218\n7519 11217\n57420 86208\n87286 100000\n31219 46814\n93457 100000\n75789 100000\n42852 64362\n21544 32257\n66477 99694\n61069 91653\n27288 40871\n50145 75315\n53661 80538\n29157 43695\n44771 67230\n65440 98159\n95727 100000\n81703 100000\n91736 100000\n4290 6403\n46088 69197\n84975 100000\n25799 38619\n49623 74534\n6998 10423\n32747 49116\n4203 6276\n59416 89190\n58319 87553\n78624 100000\n4501 6720\n77655 100000\n89820 100000\n38799 58264\n43485 65320\n45931 68964\n15993 23892\n6483 9660\n5678 8464\n55848 83858\n75746 100000\n31444 47156\n47218 70918\n66889 100000\n71228 100000\n84590 100000\n12108 18091\n69629 100000\n16671 24904\n89519 100000\n77605 100000\n81365 100000\n7824 11665\n58260 87463\n60067 90159\n77829 100000\n89268 100000\n9299 13873\n93534 100000\n27025 40478\n39348 59091\n36007 54050\n47495 71345\n63228 94853\n38547 57874\n53718 80623\n92426 100000\n32322 48470\n9471 14116\n92308 100000\n69216 100000\n93614 100000\n14891 22224\n30213 45293\n41304 62037\n55006 82562\n28444 42625\n32702 49051\n97728 100000\n39120 58749\n16818 25125\n29086 43594\n77355 100000\n2030 3014\n29100 43612\n8976 13381\n25500 38173\n92262 100000\n8142 12142\n77952 100000\n77367 100000\n71811 100000\n79691 100000\n44884 67394\n79963 100000\n80805 100000\n36803 55239\n15131 22592\n83529 100000\n76242 100000\n78179 100000\n95413 100000\n57375 86145\n82643 100000\n95748 100000\n88332 100000\n7573 11304\n32236 48340\n56869 85389\n64496 96757\n81084 100000\n81631 100000\n55499 83316\n70813 100000\n17530 26200\n89852 100000\n98184 100000\n63811 95733\n42354 63630\n93454 100000\n77674 100000\n17152 25629\n34445 51681\n906 1335\n64392 96594\n50213 75410\n31038 46539\n63532 95306\n73935 100000\n20375 30513\n37960 56966\n74156 100000\n18795 28100\n3196 4755\n92231 100000\n81258 100000\n62096 93179\n42263 63481\n20831 31194\n17416 26028\n76059 100000\n98948 100000\n65649 98459\n64942 97421\n54303 81510\n49668 74604\n80894 100000\n89719 100000\n89297 100000\n4773 7125\n72669 100000\n62202 93341\n8450 12591\n30471 45691\n88645 100000\n81744 100000\n55245 82921\n28622 42898\n80052 100000\n8630 12859\n71818 100000\n87962 100000\n97907 100000\n4548 6799\n27668 41452\n18265 27305\n82817 100000\n65392 98089\n27121 40621\n81936 100000\n59510 89332\n12799 19135\n90412 100000\n75004 100000\n96589 100000\n18899 28260\n77990 100000\n90324 100000\n82968 100000\n46421 69706\n8574 12776\n57 82\n37296 55965\n60904 91410\n48658 73080\n61863 92829\n15667 23410\n34460 51702\n55105 82712\n90953 100000\n88575 100000\n38304 57504\n74647 100000\n26449 39600\n55439 83225\n18730 27998\n62473 93745\n80634 100000\n62548 93858\n7455 11123\n6769 10075\n12968 19381\n27090 40576\n43164 64845\n31705 47543\n76474 100000\n22378 33512\n14873 22199\n96975 100000\n68950 100000\n68695 100000\n13749 20545\n34927 52408\n24516 36691\n43235 64956\n30455 45669\n35811 53751\n17789 26571\n44220 66408\n36150 54268\n12486 18656\n11592 17306\n56702 85136\n6585 9804\n81907 100000\n11865 17722\n28787 43141\n90619 100000\n47058 70669\n9794 14600\n36888 55360\n34895 52361\n4016 5991\n17615 26330\n36946 55444\n8569 12768\n46596 69970\n8036 11982\n93321 100000\n97026 100000\n25150 37652\n68836 100000\n81958 100000\n66127 99167\n24319 36396\n5535 8252\n10154 15140\n49479 74318\n17939 26804\n62834 94285\n45913 68936\n5818 8669\n52505 78815\n59537 89370\n43495 65332\n39985 60040\n36232 54392\n10122 15093\n12127 18120\n73526 100000\n49957 75028\n21170 31696\n46818 70309\n61333 92036\n65799 98684\n66498 99727\n64332 96503\n48777 73257\n83176 100000\n55116 82727\n74229 100000\n67698 100000\n99238 100000\n69274 100000\n31663 47488\n83077 100000\n30288 45411\n26636 39886\n43894 65922\n98505 100000\n60101 90206\n82880 100000\n97105 100000\n28940 43376\n63076 94631\n69548 100000\n83592 100000\n17093 25534\n55076 82666\n93976 100000\n10356 15436\n6489 9669\n70185 100000\n81021 100000\n54596 81951\n94400 100000\n48445 72756\n32496 48741\n32573 48854\n30325 45471\n65856 98771\n87424 100000\n60050 90135\n22733 34029\n96429 100000\n80869 100000\n9221 13748\n70406 100000\n42822 64318\n47043 70648\n81780 100000\n92682 100000\n29904 44815\n62123 93222\n85151 100000\n38723 58145\n65609 98409\n50705 76159\n97978 100000\n76403 100000\n87930 100000\n56597 84973\n82356 100000\n1768 2634\n10674 15907\n90585 100000\n25695 38470\n23829 35663\n58435 87720\n29001 43468\n90124 100000\n4645 6935\n1999 2966\n24828 37164\n15411 23014\n25310 37888\n35903 53890\n96791 100000\n24667 36923\n80158 100000\n28673 42971\n68245 100000\n11300 16863\n61761 92672\n57855 86853\n2262 3368\n25762 38566\n93233 100000\n17498 26158\n67687 100000\n61393 92120\n9255 13804\n54717 82132\n90531 100000\n72844 100000\n70966 100000\n99332 100000\n36919 55406\n76929 100000\n40243 60421\n17199 25702\n75988 100000\n5277 7885\n20457 30633\n40907 61430\n72716 100000\n14526 21694\n6031 8978\n6629 9867\n46656 70058\n32500 48748\n56327 84569\n5830 8684\n98620 100000\n32839 49260\n96872 100000\n56658 85068\n55362 83107\n7426 11081\n49443 74264\n52263 78468\n37397 56124\n38971 58529\n69055 100000\n49504 74357\n5537 8255\n4912 7335\n35427 53165\n11721 17499\n43763 65723\n68342 100000\n98246 100000\n97764 100000\n31545 47310\n86392 100000\n82844 100000\n34355 51534\n30943 46406\n51094 76734\n57493 86312\n49983 75070\n75105 100000\n60874 91364\n86494 100000\n63249 94883\n82323 100000\n73382 100000\n98119 100000\n54461 81745\n15236 22751\n95404 100000\n51864 77883\n52378 78633\n41317 62061\n87010 100000\n95460 100000\n53510 80312\n59266 88967\n42221 63414\n57603 86478\n42870 64391\n85407 100000\n83063 100000\n32277 48401\n30063 45057\n40560 60907\n17963 26842\n61175 91807\n68864 100000\n75210 100000\n93763 100000\n97590 100000\n81674 100000\n87613 100000\n53433 80200\n76321 100000\n74758 100000\n58461 87761\n27878 41768\n62552 93862\n98890 100000\n19693 29477\n46737 70185\n99833 100000\n49716 74678\n52699 79112\n1985 2947\n53248 79925\n11153 16644\n6343 9444\n82441 100000\n23469 35131\n97314 100000\n34441 51673\n9901 14764\n76538 100000\n49824 74840\n58737 88189\n91576 100000\n83735 100000\n40291 60494\n38674 58071\n70431 100000\n21480 32164\n56971 85536\n13911 20784\n82729 100000\n92085 100000\n78572 100000\n60470 90752\n93898 100000\n18288 27340\n1177 1751\n11508 17182\n25027 37470\n28947 43385\n45116 67744\n48345 72607\n29212 43784\n51325 77084\n72645 100000\n21299 31890\n67919 100000\n31424 47127\n2821 4205\n63724 95593\n79586 100000\n61462 92231\n48895 73440\n48381 72659\n62869 94339\n53663 80541\n16327 24387\n4837 7222\n50449 75771\n49118 73775\n34188 51292\n519 768\n20429 30596\n99004 100000\n89896 100000\n96960 100000\n39085 58701\n46083 69189\n80057 100000\n98312 100000\n90167 100000\n65998 98982\n53084 79672\n97132 100000\n27845 41716\n18504 27658\n23476 35140\n42058 63160\n93250 100000\n51585 77468\n90821 100000\n13864 20715\n25176 37691\n38658 58046\n64236 96364\n79434 100000\n10180 15176\n50010 75113\n82884 100000\n3941 5879\n19495 29166\n51812 77807\n23296 34860\n97171 100000\n19180 28686\n27425 41078\n74946 100000\n81923 100000\n16542 24712\n19578 29296\n47373 71157\n56740 85186\n43096 64734\n14974 22347\n51115 76765\n95582 100000\n17670 26405\n75311 100000\n21249 31816\n49108 73761\n12262 18319\n61433 92183\n51665 77584\n90384 100000\n38036 57083\n67345 100000\n62243 93407\n23835 35674\n99008 100000\n87333 100000\n2907 4333\n47370 71154\n75968 100000\n87553 100000\n98159 100000\n95418 100000\n87910 100000\n73243 100000\n22765 34073\n25873 38726\n81702 100000\n97221 100000\n67157 100000\n30962 46432\n3118 4637\n22695 33970\n79491 100000\n37634 56480\n52812 79275\n31567 47343\n13990 20903\n9176 13680\n37339 56027\n92063 100000\n17378 25967\n93967 100000\n62841 94295\n78928 100000\n30019 44990\n72381 100000\n28123 42127\n36566 54872\n35096 52670\n69138 100000\n8258 12308\n64252 96388\n83033 100000\n33259 49895\n62828 94278\n64678 97036\n92075 100000\n84735 100000\n22454 33627\n79426 100000\n18532 27699\n5511 8218\n25256 37811\n50473 75810\n64777 97176\n6699 9968\n29323 43948\n98547 100000\n53458 80238\n45531 68350\n78896 100000\n91787 100000\n1448 2158\n25809 38635\n71250 100000\n73655 100000\n47628 71550\n18857 28191\n83966 100000\n56340 84589\n11155 16648\n49219 73929\n79953 100000\n96200 100000\n93528 100000\n17617 26332\n83617 100000\n86730 100000\n7570 11300\n16351 24426\n16083 24025\n13955 20848\n20522 30730\n55070 82658\n96524 100000\n3132 4660\n87046 100000\n414 605\n94122 100000\n29438 44115\n17932 26794\n3574 5320\n12653 18909\n87641 100000\n12874 19240\n27877 41767\n41445 62246\n77353 100000\n71726 100000\n24935 37329\n6546 9748\n88511 100000\n92553 100000\n79290 100000\n46799 70281\n84117 100000\n69233 100000\n80971 100000\n90170 100000\n86329 100000\n55823 83821\n14368 21460\n82516 100000\n5652 8424\n35672 53533\n84601 100000\n36002 54041\n74567 100000\n76698 100000\n54234 81405\n99251 100000\n69380 100000\n88753 100000\n23645 35385\n47009 70593\n25304 37878\n71642 100000\n182 262\n82958 100000\n68007 100000\n14829 22133\n61831 92777\n21467 32144\n52815 79279\n4354 6501\n78508 100000\n88244 100000\n70392 100000\n46689 70113\n54087 81190\n89739 100000\n34488 51744\n7276 10852\n42099 63223\n27227 40777\n46817 70307\n58965 88523\n40827 61311\n34485 51739\n75032 100000\n95400 100000\n55813 83805\n16337 24404\n60847 91320\n34364 51548\n54350 81581\n81304 100000\n40050 60134\n40931 61466\n48068 72200\n91085 100000\n71544 100000\n97140 100000\n12953 19357\n41231 61927\n63235 94864\n71567 100000\n91299 100000\n7949 11848\n82839 100000\n70918 100000\n23499 35172\n41670 62585\n90043 100000\n17725 26483\n96297 100000\n34409 51621\n8275 12332\n42561 63929\n80446 100000\n24991 37419\n14625 21838\n51672 77595\n46049 69135\n79796 100000\n51961 78023\n97552 100000\n16085 24028\n39256 58946\n15342 22909\n64820 97242\n96083 100000\n85520 100000\n14302 21366\n73012 100000\n70993 100000\n60563 90890\n7121 10612\n40485 60791\n70947 100000\n95662 100000\n57504 86330\n50367 75643\n79943 100000\n25846 38690\n34064 51106\n69563 100000\n15927 23793\n21355 31964\n4075 6074\n57516 86348\n80203 100000\n77709 100000\n38951 58494\n35099 52676\n76384 100000\n70597 100000\n13355 19963\n71565 100000\n39435 59228\n58827 88320\n39057 58658\n93058 100000\n1958 2906\n93686 100000\n68999 100000\n19558 29266\n34128 51202\n28553 42790\n25702 38482\n4866 7267\n96920 100000\n14678 21922\n85433 100000\n43154 64831\n9990 14897\n8042 11992\n28881 43284\n95293 100000\n77508 100000\n63289 94941\n94639 100000\n12279 18342\n16751 25024\n36528 54821\n13007 19439\n25035 37480\n52349 78593\n11414 17038\n24358 36453\n4848 7238\n81094 100000\n83120 100000\n38835 58321\n26266 39323\n89355 100000\n95559 100000\n49506 74361\n41742 62693\n60577 90914\n33064 49608\n87369 100000\n33536 50319\n55248 82926\n1330 1986\n70470 100000\n12414 18547\n50780 76272\n81306 100000\n36671 55037\n88392 100000\n96753 100000\n18245 27272\n21879 32760\n33958 50948\n41465 62274\n98636 100000\n65714 98560\n47064 70679\n82097 100000\n99338 100000\n65243 97863\n99210 100000\n85277 100000\n75836 100000\n38230 57387\n53351 80078\n21843 32706\n7990 11912\n99632 100000\n79346 100000\n85805 100000\n21011 31462\n89115 100000\n92303 100000\n98243 100000\n36099 54193\n85973 100000\n57768 86714\n90243 100000\n98841 100000\n25168 37678\n10165 15155\n36518 54806\n19939 29842\n84689 100000\n67913 100000\n46365 69624\n58174 87330\n43730 65673\n86210 100000\n91936 100000\n58473 87777\n86551 100000\n73083 100000\n1150 1709\n68206 100000\n6370 9480\n1187 1765\n32095 48129\n51649 77564\n68633 100000\n60279 90467\n27295 40883\n16907 25257\n80896 100000\n32745 49114\n85720 100000\n26178 39186\n42040 63135\n85199 100000\n72974 100000\n59042 88637\n74591 100000\n52872 79364\n48452 72764\n77997 100000\n81695 100000\n94622 100000\n61135 91750\n83697 100000\n95729 100000\n62952 94456\n6320 9404\n27899 41801\n94945 100000\n37255 55913\n84488 100000\n55379 83133\n2310 3439\n77084 100000\n79826 100000\n67326 100000\n18836 28159\n27490 41179\n34494 51754\n82821 100000\n64486 96742\n20277 30360\n90497 100000\n75498 100000\n26265 39321\n63998 96009\n26845 40201\n2618 3903\n18112 27070\n65834 98736\n31254 46865\n17334 25898\n55968 84034\n44477 66796\n97839 100000\n74571 100000\n35559 53364\n70853 100000\n35255 52914\n29281 43880\n76070 100000\n64901 97362\n17629 26348\n69471 100000\n52668 79064\n84880 100000\n99358 100000\n28440 42618\n6692 9958\n65867 98789\n48849 73370\n42454 63777\n8790 13095\n73670 100000\n99925 100000\n61919 92917\n43136 64800\n34984 52500\n47183 70862\n35568 53379\n30326 45473\n50513 75874\n24853 37202\n83074 100000\n13967 20867\n5967 8888\n24180 36184\n20768 31102\n76425 100000\n84275 100000\n84121 100000\n71299 100000\n22417 33574\n65703 98540\n19771 29596\n47545 71422\n24042 35980\n22221 33274\n93996 100000\n91136 100000\n21127 31632\n54624 81990\n77621 100000\n71919 100000\n92393 100000\n19731 29536\n30973 46448\n55907 83943\n2513 3740\n28330 42448\n23228 34763\n98931 100000\n76881 100000\n33192 49803\n30603 45895\n45659 68556\n89761 100000\n50170 75350\n83587 100000\n98350 100000\n79285 100000\n39514 59347\n43223 64937\n90052 100000\n50520 75887\n70663 100000\n75856 100000\n27279 40856\n43492 65328\n27207 40746\n30319 45462\n60352 90573\n32469 48700\n62949 94452\n12637 18885\n61178 91811\n69101 100000\n50437 75752\n94697 100000\n70623 100000\n86530 100000\n87409 100000\n29246 43833\n59654 89546\n67829 100000\n69756 100000\n23179 34684\n68564 100000\n56511 84842\n60060 90147\n82129 100000\n34457 51697\n82091 100000\n93353 100000\n1107 1640\n92632 100000\n33897 50863\n58694 88123\n83996 100000\n91557 100000\n16934 25294\n40615 60993\n23730 35514\n10448 15567\n23534 35222\n67046 100000\n11344 16934\n16916 25270\n65986 98961\n20251 30316\n98913 100000\n72786 100000\n7424 11079\n74297 100000\n57156 85816\n56104 84233\n6184 9205\n92505 100000\n53855 80838\n73424 100000\n93027 100000\n19947 29854\n48853 73376\n84363 100000\n10712 15971\n76385 100000\n6869 10225\n17946 26816\n38272 57455\n57990 87057\n54679 82075\n99634 100000\n93731 100000\n93649 100000\n56958 85519\n19809 29651\n41475 62290\n11685 17443\n92697 100000\n22478 33660\n32365 48534\n98205 100000\n89599 100000\n28136 42147\n92589 100000\n62003 93038\n83418 100000\n41117 61756\n97525 100000\n40271 60463\n62472 93743\n93808 100000\n24771 37079\n5217 7798\n45644 68534\n81138 100000\n42297 63534\n43608 65495\n65693 98524\n88558 100000\n19221 28749\n36514 54799\n98006 100000\n75919 100000\n72778 100000\n23974 35882\n14807 22107\n27962 41894\n65632 98435\n68660 100000\n64073 96120\n53204 79852\n73797 100000\n2315 3447\n30812 46208\n80150 100000\n17602 26308\n37194 55819\n12031 17968\n57904 86927\n72068 100000\n32483 48723\n83383 100000\n24181 36186\n72937 100000\n87771 100000\n85411 100000\n23025 34450\n21464 32139\n73653 100000\n67650 100000\n85504 100000\n71277 100000\n54413 81675\n67720 100000\n45250 67946\n90126 100000\n24377 36482\n70788 100000\n57993 87062\n82953 100000\n86432 100000\n69579 100000\n89819 100000\n22119 33123\n14555 21739\n11867 17724\n92547 100000\n26545 39748\n46881 70403\n26993 40428\n20697 30993\n31994 47976\n19393 29011\n3767 5617\n40607 60980\n50684 76127\n15259 22785\n17518 26184\n2202 3279\n84205 100000\n80950 100000\n40037 60116\n52591 78944\n41463 62271\n9074 13526\n75626 100000\n52987 79540\n71998 100000\n16737 25001\n35834 53787\n81752 100000\n63323 94994\n29970 44913\n44490 66814\n21654 32423\n7906 11783\n99295 100000\n67690 100000\n92305 100000\n57155 85814\n97134 100000\n29547 44274\n10185 15183\n85579 100000\n84963 100000\n29497 44200\n52280 78489\n22172 33201\n196 283\n75642 100000\n36450 54706\n85991 100000\n54276 81470\n28410 42568\n80677 100000\n35336 53031\n37534 56331\n69492 100000\n37426 56168\n85803 100000\n22441 33607\n3331 4949\n9167 13667\n73283 100000\n23134 34615\n9537 14212\n31109 46645\n40203 60358\n51833 77838\n90140 100000\n38294 57488\n65045 97579\n11890 17761\n48655 73074\n2926 4358\n31571 47349\n5454 8137\n67390 100000\n72890 100000\n66299 99430\n90382 100000\n14525 21692\n44521 66860\n92101 100000\n1887 2808\n4792 7155\n95103 100000\n39735 59673\n41203 61885\n91674 100000\n91067 100000\n65751 98618\n10127 15101\n48106 72260\n8272 12328\n37421 56161\n6732 10017\n10135 15111\n62760 94178\n86395 100000\n39339 59076\n63571 95362\n70962 100000\n69109 100000\n23171 34670\n34503 51768\n99262 100000\n85749 100000\n61472 92248\n8111 12092\n1878 2795\n85642 100000\n32003 47990\n63787 95693\n94038 100000\n83370 100000\n98920 100000\n37456 56214\n23470 35132\n28162 42188\n73007 100000\n54522 81839\n3279 4876\n8825 13150\n44504 66836\n24184 36190\n22664 33927\n70163 100000\n24868 37227\n98567 100000\n39614 59496\n21881 32763\n29621 44390\n25880 38736\n96536 100000\n92515 100000\n64318 96482\n49745 74723\n71109 100000\n50940 76502\n35511 53293\n95102 100000\n47771 71769\n464 682\n23756 35552\n21413 32057\n55374 83125\n6177 9193\n6249 9299\n29375 44023\n76046 100000\n44224 66413\n86055 100000\n39950 59990\n57065 85676\n1635 2443\n54268 81457\n75290 100000\n67271 100000\n21764 32587\n34590 51905\n6064 9024\n76589 100000\n84941 100000\n65240 97859\n10792 16102\n9234 13771\n38020 57059\n89171 100000\n16641 24857\n34585 51896\n43059 64680\n64420 96634\n28341 42463\n44714 67143\n45743 68684\n89518 100000\n83011 100000\n14877 22204\n90784 100000\n77575 100000\n73624 100000\n845 1246\n89460 100000\n35974 53999\n40985 61549\n246 357\n74575 100000\n12252 18304\n92072 100000\n35651 53500\n77253 100000\n57549 86401\n10916 16287\n65740 98601\n58418 87699\n28988 43448\n73833 100000\n99376 100000\n61465 92237\n76316 100000\n74568 100000\n45922 68949\n78978 100000\n10906 16269\n67579 100000\n41690 62617\n33034 49561\n17437 26062\n76207 100000\n23219 34748\n86346 100000\n28324 42437\n53582 80419\n47941 72013\n42446 63766\n16443 24563\n76267 100000\n43265 65001\n48457 72772\n88341 100000\n44288 66509\n57298 86029\n900 1326\n30521 45771\n60807 91261\n36853 55313\n40948 61492\n36154 54275\n95345 100000\n35172 52785\n17413 26024\n39522 59359\n8217 12251\n65435 98152\n54150 81287\n58214 87390\n6126 9112\n29684 44490\n31137 46687\n53722 80629\n79242 100000\n15026 22428\n75788 100000\n72074 100000\n55768 83733\n93315 100000\n34579 51886\n48067 72199\n72095 100000\n3552 5288\n20532 30743\n60842 91312\n56474 84790\n32991 49494\n40044 60125\n10285 15332\n24583 36790\n36998 55526\n67770 100000\n61262 91925\n52899 79406\n68908 100000\n29374 44021\n10753 16040\n45347 68087\n72656 100000\n55679 83601\n82750 100000\n760 1121\n83466 100000\n82266 100000\n75594 100000\n38639 58015\n24391 36502\n17345 25915\n14584 21776\n66941 100000\n95537 100000\n22958 34353\n24751 37050\n71245 100000\n14094 21055\n61852 92810\n36001 54039\n60578 90916\n6307 9385\n54216 81380\n31364 47032\n49783 74775\n99840 100000\n36826 55274\n29477 44170\n46171 69321\n82073 100000\n26327 39419\n82533 100000\n82625 100000\n34972 52480\n98514 100000\n11438 17076\n3191 4748\n31250 46859\n3539 5269\n63859 95803\n21996 32933\n7103 10586\n49109 73762\n77194 100000\n34651 51995\n13061 19517\n4324 6459\n48901 73449\n34692 52060\n26278 39340\n26774 40093\n11869 17727\n60132 90257\n12752 19071\n47271 71004\n2452 3646\n72209 100000\n72439 100000\n64780 97182\n60603 90952\n48338 72600\n79606 100000\n6697 9966\n24381 36488\n63613 95425\n20596 30839\n50989 76574\n90677 100000\n81064 100000\n58028 87113\n6560 9770\n20200 30236\n18240 27266\n46370 69629\n46941 70489\n55472 83275\n13789 20602\n7941 11834\n63980 95983\n83229 100000\n58891 88416\n67479 100000\n87947 100000\n71334 100000\n80593 100000\n24905 37284\n45726 68658\n41539 62395\n32866 49310\n83426 100000\n44663 67066\n95259 100000\n6554 9759\n37773 56682\n25326 37911\n63923 95899\n67425 100000\n81080 100000\n30375 45542\n78261 100000\n56678 85098\n98768 100000\n92018 100000\n30197 45268\n38734 58161\n25367 37977\n85418 100000\n15452 23073\n96229 100000\n45380 68135\n72659 100000\n42772 64245\n51409 77214\n88614 100000\n48765 73241\n45648 68541\n58565 87924\n75870 100000\n10970 16374\n69584 100000\n88054 100000\n91262 100000\n69494 100000\n70958 100000\n54394 81645\n43201 64903\n63663 95503\n14133 21117\n16391 24487\n92433 100000\n62839 94292\n26021 38953\n66020 99020\n15204 22700\n69648 100000\n72857 100000\n48040 72160\n16132 24097\n86828 100000\n88965 100000\n98967 100000\n11427 17057\n60611 90965\n20371 30507\n68678 100000\n47367 71148\n85082 100000\n18893 28249\n40021 60092\n45265 67966\n25972 38872\n62084 93160\n65447 98170\n88284 100000\n29509 44217\n17718 26472\n6322 9406\n88466 100000\n73000 100000\n15906 23764\n19622 29365\n16838 25154\n99878 100000\n19198 28712\n25364 37972\n68648 100000\n95455 100000\n79986 100000\n95042 100000\n73642 100000\n29273 43870\n36801 55235\n17450 26082\n76417 100000\n1804 2685\n21744 32558\n96525 100000\n5442 8122\n11477 17136\n7117 10608\n25639 38381\n643 945\n39420 59206\n98773 100000\n26300 39375\n24777 37085\n58301 87525\n62519 93814\n76689 100000\n84345 100000\n73289 100000\n67649 100000\n86179 100000\n3949 5890\n40595 60960\n35634 53478\n96952 100000\n54660 82047\n72211 100000\n12473 18638\n22660 33919\n42872 64393\n69435 100000\n56715 85154\n25187 37708\n16153 24129\n25829 38664\n19254 28798\n53149 79769\n777 1147\n36887 55359\n30083 45086\n35240 52889\n12043 17989\n10026 14952\n42588 63972\n62590 93920\n9459 14103\n41734 62682\n72489 100000\n17439 26065\n76926 100000\n99001 100000\n38595 57950\n51785 77765\n466 686\n19377 28991\n49446 74269\n40793 61261\n36433 54680\n30305 45437\n59174 88829\n38919 58448\n93053 100000\n95088 100000\n12504 18683\n1752 2611\n11938 17830\n83096 100000\n13415 20054\n65653 98464\n37930 56920\n84337 100000\n42958 64528\n11054 16498\n17096 25539\n69072 100000\n95506 100000\n7593 11332\n78235 100000\n48356 72624\n85002 100000\n9323 13908\n7370 10998\n38096 57174\n16008 23917\n71043 100000\n61938 92941\n34372 51563\n2996 4459\n26693 39969\n42428 63741\n92772 100000\n74024 100000\n9224 13753\n75572 100000\n9134 13616\n59160 88810\n85844 100000\n30437 45640\n71880 100000\n37798 56722\n44194 66372\n57446 86240\n18214 27226\n44404 66687\n48289 72532\n16584 24774\n18507 27663\n9587 14278\n37725 56615\n22036 32995\n49839 74861\n6939 10337\n86946 100000\n35769 53686\n38619 57985\n45547 68377\n24491 36651\n64985 97490\n78401 100000\n771 1139\n56598 84974\n64978 97478\n41535 62389\n47406 71202\n4019 5994\n88869 100000\n75751 100000\n60332 90543\n48066 72198\n38952 58496\n72933 100000\n89569 100000\n31099 46631\n11671 17419\n27742 41567\n94138 100000\n25107 37587\n3748 5591\n33620 50450\n92423 100000\n84094 100000\n35884 53863\n60677 91058\n81822 100000\n38091 57167\n13773 20578\n68758 100000\n89801 100000\n80710 100000\n23270 34823\n8466 12615\n19081 28530\n16476 24613\n32441 48657\n97326 100000\n41112 61748\n71113 100000\n40429 60703\n93453 100000\n76951 100000\n15921 23784\n66928 100000\n79379 100000\n37973 56986\n25556 38259\n35932 53932\n48332 72593\n87287 100000\n34248 51380\n84767 100000\n49960 75033\n86421 100000\n10783 16086\n92172 100000\n24832 37171\n68265 100000\n56385 84661\n91457 100000\n29425 44097\n34464 51708\n69100 100000\n60567 90897\n33326 50004\n53537 80353\n39160 58811\n5294 7910\n20423 30587\n29514 44224\n88969 100000\n34775 52192\n7666 11435\n15684 23437\n56374 84645\n96362 100000\n94646 100000\n38796 58260\n42950 64517\n74211 100000\n20825 31186\n41996 63072\n7343 10960\n39400 59174\n84541 100000\n23315 34888\n70430 100000\n70383 100000\n10929 16307\n31065 46579\n4011 5982\n62965 94472\n69419 100000\n34108 51169\n84358 100000\n95432 100000\n51530 77388\n83956 100000\n41324 62071\n19124 28600\n23818 35650\n31868 47779\n32379 48560\n53416 80173\n3948 5889\n83662 100000\n62667 94038\n92396 100000\n32057 48071\n46672 70086\n98999 100000\n94824 100000\n57487 86302\n11562 17263\n69559 100000\n67224 100000\n77274 100000\n49435 74252\n89284 100000\n67976 100000\n67264 100000\n68533 100000\n88934 100000\n59417 89191\n11819 17657\n74675 100000\n42985 64572\n64681 97039\n62374 93601\n88034 100000\n71903 100000\n76393 100000\n5361 8004\n48409 72700\n83009 100000\n23636 35371\n96556 100000\n54657 82042\n4428 6612\n28842 43229\n30549 45810\n38463 57742\n63857 95799\n3745 5586\n81204 100000\n21642 32406\n75767 100000\n32675 49010\n87087 100000\n15787 23591\n585 855\n50072 75208\n94208 100000\n56005 84083\n43867 65879\n45896 68910\n41775 62742\n95914 100000\n78385 100000\n72465 100000\n68059 100000\n22984 34391\n66709 100000\n71915 100000\n93188 100000\n54005 81062\n84371 100000\n67609 100000\n28069 42049\n62450 93707\n52404 78669\n55711 83648\n68844 100000\n46680 70100\n55091 82688\n75271 100000\n70385 100000\n4814 7187\n80113 100000\n25261 37817\n37393 56117\n69298 100000\n48986 73582\n74151 100000\n25962 38856\n3049 4536\n67508 100000\n39819 59797\n70763 100000\n19951 29860\n53362 80095\n83179 100000\n23056 34495\n29120 43642\n22051 33018\n14672 21912\n49907 74959\n2635 3926\n47723 71694\n35063 52618\n22252 33322\n9486 14139\n40572 60926\n93680 100000\n26053 38997\n46190 69352\n87101 100000\n28358 42487\n9835 14659\n92191 100000\n88853 100000\n59915 89930\n60910 91420\n88539 100000\n64602 96924\n6908 10287\n7739 11538\n42878 64401\n45625 68505\n45134 67771\n96302 100000\n68378 100000\n79766 100000\n3530 5256\n76164 100000\n31539 47300\n47875 71918\n60726 91136\n38239 57403\n8346 12436\n31218 46812\n50970 76549\n6332 9424\n36346 54557\n66343 99495\n67197 100000\n53470 80255\n47473 71309\n59241 88930\n23127 34606\n10100 15062\n61228 91878\n96409 100000\n96799 100000\n9736 14511\n66024 99026\n23579 35286\n57158 85819\n59853 89836\n40789 61255\n57637 86527\n70662 100000\n60293 90487\n97814 100000\n11360 16959\n33552 50344\n20370 30506\n46272 69483\n20888 31282\n26175 39181\n68487 100000\n69023 100000\n12643 18894\n60256 90438\n74501 100000\n30346 45505\n4613 6889\n82131 100000\n49527 74387\n62680 94059\n82345 100000\n73577 100000\n41081 61702\n94305 100000\n93564 100000\n51579 77457\n36465 54728\n28576 42824\n4618 6898\n8583 12789\n23107 34573\n14441 21566\n11513 17190\n68617 100000\n36431 54678\n15733 23506\n71991 100000\n38433 57700\n88975 100000\n33592 50406\n71539 100000\n71793 100000\n55174 82810\n39872 59874\n67374 100000\n90267 100000\n26377 39493\n36166 54294\n26317 39403\n36125 54233\n86573 100000\n98602 100000\n45860 68856\n2614 3896\n3429 5097\n95612 100000\n7772 11586\n45707 68632\n59716 89634\n22861 34209\n50200 75391\n88246 100000\n33589 50401\n58006 87080\n745 1100\n54120 81245\n1759 2621\n60076 90173\n7257 10823\n49248 73969\n16054 23979\n14034 20967\n58734 88185\n3504 5212\n86803 100000\n80848 100000\n60927 91443\n95757 100000\n96382 100000\n54148 81285\n53609 80464\n50815 76325\n69607 100000\n41633 62532\n85989 100000\n25630 38370\n88530 100000\n49292 74037\n63126 94704\n93643 100000\n19894 29777\n86693 100000\n70836 100000\n62971 94482\n75016 100000\n78162 100000\n25082 37550\n88263 100000\n87590 100000\n94195 100000\n15009 22398\n2814 4193\n16448 24569\n75007 100000\n24068 36014\n37637 56484\n95161 100000\n99831 100000\n83187 100000\n80377 100000\n88515 100000\n35484 53253\n72731 100000\n75309 100000\n17463 26104\n15939 23809\n10436 15548\n95998 100000\n2116 3153\n85131 100000\n26382 39499\n89590 100000\n64122 96193\n7132 10630\n47475 71312\n97943 100000\n19965 29881\n51030 76635\n29196 43757\n57324 86069\n19601 29333\n96692 100000\n41802 62785\n36710 55094\n20488 30677\n35980 54008\n53273 79961\n16632 24844\n89914 100000\n93063 100000\n31538 47298\n34414 51629\n15269 22800\n24886 37255\n85076 100000\n28129 42136\n99400 100000\n62215 93364\n54018 81082\n18468 27602\n83270 100000\n6534 9731\n64083 96135\n63580 95377\n56998 85580\n43876 65895\n93511 100000\n86790 100000\n62384 93615\n76995 100000\n551 810\n71797 100000\n39313 59038\n1379 2057\n13123 19616\n55373 83124\n69296 100000\n7399 11043\n15256 22780\n3130 4656\n97290 100000\n56051 84158\n72065 100000\n13387 20011\n94003 100000\n91555 100000\n85009 100000\n9094 13558\n27115 40612\n11926 17813\n6444 9596\n34897 52363\n20218 30265\n84496 100000\n53228 79892\n38317 57524\n97917 100000\n49322 74083\n9447 14085\n42730 64177\n43395 65196\n32105 48144\n43802 65783\n31484 47213\n63909 95880\n81090 100000\n6793 10111\n36360 54577\n38782 58234\n57510 86339\n15676 23423\n64451 96682\n90275 100000\n78232 100000\n53654 80528\n44205 66385\n96391 100000\n32932 49409\n12790 19124\n89874 100000\n67726 100000\n28137 42148\n85611 100000\n4603 6876\n43425 65240\n72445 100000\n34973 52482\n92803 100000\n55427 83209\n61365 92080\n73436 100000\n59770 89711\n65796 98679\n74068 100000\n74177 100000\n88567 100000\n1621 2421\n46397 69668\n5696 8494\n12584 18807\n4574 6840\n82467 100000\n12319 18406\n9676 14414\n75833 100000\n38698 58109\n71794 100000\n44049 66153\n3685 5494\n42591 63976\n1021 1507\n64549 96843\n87965 100000\n67546 100000\n97128 100000\n63095 94656\n23062 34502\n17923 26781\n5071 7580\n91438 100000\n99168 100000\n36292 54474\n41991 63067\n43646 65554\n60124 90243\n75809 100000\n69156 100000\n55480 83287\n51035 76642\n64223 96342\n29011 43481\n99031 100000\n66603 99883\n54854 82333\n91654 100000\n9314 13896\n56482 84801\n95888 100000\n88114 100000\n81247 100000\n60354 90575\n99785 100000\n76112 100000\n97328 100000\n63830 95761\n70106 100000\n91295 100000\n97783 100000\n82143 100000\n17723 26479\n54232 81402\n36867 55331\n10134 15110\n44114 66250\n39386 59150\n88658 100000\n65772 98647\n82599 100000\n41417 62209\n11478 17137\n47849 71878\n35635 53480\n29668 44467\n37831 56769\n78729 100000\n17764 26535\n16450 24572\n68736 100000\n47330 71086\n80175 100000\n58004 87077\n92813 100000\n58939 88486\n68605 100000\n3526 5250\n55800 83783\n57289 86014\n33122 49691\n34744 52145\n70911 100000\n65577 98363\n22254 33326\n34997 52517\n52450 78736\n50357 75629\n11147 16635\n20968 31400\n88757 100000\n18535 27703\n72706 100000\n32087 48117\n59049 88647\n30438 45642\n92389 100000\n56077 84197\n8854 13194\n65901 98838\n90992 100000\n67525 100000\n38278 57462\n47268 71000\n52083 78198\n28930 43360\n54774 82217\n81982 100000\n84992 100000\n35506 53285\n38171 57292\n16176 24161\n75770 100000\n60642 91009\n44158 66315\n37531 56328\n11063 16512\n10768 16062\n2098 3123\n22345 33460\n67561 100000\n11901 17779\n92531 100000\n78888 100000\n54045 81122\n2408 3582\n71597 100000\n48806 73306\n49914 74967\n78158 100000\n66646 99948\n70048 100000\n85390 100000\n10152 15137\n14539 21716\n52568 78912\n50971 76551\n11747 17539\n52763 79206\n65500 98252\n29959 44896\n62615 93962\n5183 7748\n83823 100000\n16016 23928\n24782 37092\n21759 32578\n69720 100000\n83531 100000\n64329 96498\n62721 94121\n12247 18298\n51081 76713\n48933 73498\n41544 62404\n59536 89369\n22704 33986\n84748 100000\n30875 46303\n90750 100000\n14091 21050\n45113 67740\n48078 72216\n73840 100000\n74812 100000\n12004 17929\n79666 100000\n39026 58609\n23875 35728\n58031 87117\n23412 35043\n89561 100000\n36249 54414\n13480 20147\n82177 100000\n8692 12958\n9770 14567\n42886 64415\n43593 65474\n88947 100000\n22717 34006\n87380 100000\n69935 100000\n17710 26462\n45204 67876\n54943 82468\n58352 87598\n95963 100000\n73086 100000\n6043 8994\n56508 84837\n76604 100000\n50027 75140\n26620 39859\n91784 100000\n48383 72661\n66677 99998\n93199 100000\n12136 18134\n31637 47448\n59288 89002\n72969 100000\n11100 16569\n67928 100000\n15110 22557\n98068 100000\n48992 73590\n41806 62790\n36524 54815\n46497 69822\n81826 100000\n55772 83740\n15363 22939\n94698 100000\n22079 33062\n30434 45635\n55475 83281\n36240 54402\n50631 76053\n80006 100000\n60633 90995\n58543 87890\n96501 100000\n71543 100000\n92206 100000\n66881 100000\n59116 88742\n78352 100000\n16967 25343\n37229 55872\n68348 100000\n82864 100000\n15104 22548\n783 1156\n59871 89862\n32938 49417\n6484 9662\n97662 100000\n61888 92867\n1420 2117\n90801 100000\n5650 8420\n74614 100000\n2525 3758\n14098 21063\n91464 100000\n80982 100000\n11285 16845\n97111 100000\n55958 84020\n14190 21203\n62555 93868\n16442 24562\n1834 2729\n38810 58283\n15389 22981\n46 66\n53659 80536\n14615 21823\n80176 100000\n6970 10381\n34438 51667\n32634 48946\n97321 100000\n3614 5385\n94930 100000\n26675 39942\n15656 23396\n35990 54023\n25644 38390\n50632 76055\n44265 66476\n70016 100000\n42416 63723\n70202 100000\n90432 100000\n20993 31437\n41392 62171\n66978 100000\n3760 5608\n45597 68460\n23235 34774\n20422 30586\n12617 18855\n96275 100000\n59052 88653\n23723 35505\n26899 40282\n81278 100000\n38408 57662\n30193 45262\n51859 77877\n49728 74696\n38201 57337\n34120 51189\n752 1111\n63651 95485\n2632 3921\n96763 100000\n50407 75705\n25917 38790\n18514 27673\n15045 22458\n18316 27378\n77942 100000\n11333 16916\n12895 19272\n61670 92540\n9742 14521\n22714 34002\n46168 69317\n97591 100000\n66776 100000\n47152 70816\n32927 49402\n67050 100000\n94760 100000\n95514 100000\n8377 12485\n15869 23711\n47402 71196\n18447 27573\n68798 100000\n38110 57196\n5090 7609\n88531 100000\n4699 7016\n4946 7389\n54023 81091\n32706 49058\n15064 22487\n89289 100000\n51061 76682\n71844 100000\n54012 81072\n86753 100000\n1876 2791\n19379 28993\n97824 100000\n24661 36911\n73385 100000\n35555 53357\n40687 61104\n17624 26342\n37458 56218\n84507 100000\n5468 8154\n17202 25707\n7958 11861\n77262 100000\n83212 100000\n84174 100000\n70491 100000\n15266 22794\n30242 45337\n10610 15811\n46892 70419\n75275 100000\n28850 43241\n77373 100000\n46348 69596\n33815 50739\n95749 100000\n5834 8690\n70937 100000\n96532 100000\n5484 8178\n16607 24807\n61894 92877\n56371 84639\n29598 44353\n97543 100000\n87785 100000\n35422 53157\n28469 42665\n41469 62281\n99512 100000\n25930 38812\n54828 82296\n82026 100000\n38406 57659\n7783 11603\n304 443\n53831 80801\n66664 99975\n13339 19938\n29107 43621\n2516 3746\n87294 100000\n9730 14501\n10169 15161\n25044 37492\n34921 52400\n59840 89817\n48575 72949\n95528 100000\n45234 67919\n48275 72515\n75562 100000\n28534 42762\n44188 66362\n58084 87200\n81290 100000\n25768 38575\n56452 84760\n58901 88430\n19642 29398\n78982 100000\n27714 41523\n39796 59766\n45584 68440\n9045 13484\n55448 83238\n39626 59514\n79539 100000\n6980 10395\n50433 75746\n47113 70755\n61934 92936\n5777 8608\n81296 100000\n83707 100000\n51843 77853\n92099 100000\n18592 27789\n2007 2978\n1650 2465\n16620 24824\n68515 100000\n78856 100000\n87737 100000\n32332 48487\n35933 53933\n56002 84079\n22973 34374\n23891 35752\n43823 65814\n1376 2052\n395 577\n24101 36063\n30581 45858\n70078 100000\n4214 6289\n53875 80868\n33203 49820\n82893 100000\n17171 25660\n67258 100000\n32455 48678\n68476 100000\n76317 100000\n80980 100000\n76430 100000\n10720 15986\n56353 84611\n70105 100000\n20178 30204\n42930 64484\n51207 76905\n83953 100000\n37578 56399\n54029 81099\n75893 100000\n66432 99622\n84000 100000\n11232 16760\n18913 28279\n35109 52691\n14977 22353\n70856 100000\n93435 100000\n99736 100000\n31931 47878\n92413 100000\n95578 100000\n32599 48894\n67444 100000\n23479 35144\n30227 45315\n6260 9317\n47234 70943\n92607 100000\n84542 100000\n23879 35736\n78086 100000\n22622 33864\n96216 100000\n6428 9569\n43421 65234\n79158 100000\n90905 100000\n75511 100000\n38256 57430\n52403 78667\n75431 100000\n28966 43414\n63883 95838\n42158 63314\n88907 100000\n7261 10830\n31639 47452\n37292 55960\n87666 100000\n82554 100000\n27858 41737\n84459 100000\n693 1020\n3635 5418\n99835 100000\n81517 100000\n98782 100000\n90038 100000\n77843 100000\n23297 34862\n90952 100000\n85459 100000\n36139 54253\n74343 100000\n44127 66268\n99746 100000\n37358 56059\n26138 39126\n8965 13364\n71198 100000\n33956 50946\n27276 40852\n50391 75677\n23956 35852\n79824 100000\n9207 13727\n22323 33430\n76615 100000\n77163 100000\n94479 100000\n75014 100000\n45233 67917\n37896 56866\n23340 34929\n12516 18703\n84604 100000\n58595 87970\n86669 100000\n6349 9453\n1084 1603\n40413 60676\n78274 100000\n78238 100000\n10132 15108\n46433 69722\n90630 100000\n48165 72347\n32632 48943\n53432 80198\n31937 47887\n72362 100000\n97481 100000\n21445 32109\n60025 90095\n215 314\n53554 80376\n34913 52386\n28260 42339\n24072 36020\n54770 82211\n69523 100000\n17590 26289\n60445 90715\n69576 100000\n84822 100000\n80740 100000\n84757 100000\n33336 50018\n89339 100000\n86409 100000\n31023 46519\n96359 100000\n9219 13745\n18270 27313\n46966 70527\n40752 61201\n91336 100000\n6891 10262\n19574 29290\n29625 44395\n42008 63088\n36394 54623\n56661 85073\n84216 100000\n13422 20063\n80589 100000\n33737 50622\n42935 64492\n33940 50923\n60164 90305\n34175 51272\n93803 100000\n15535 23203\n52144 78287\n90287 100000\n90154 100000\n24694 36967\n88056 100000\n99434 100000\n99531 100000\n15371 22953\n70455 100000\n45358 68102\n70100 100000\n37817 56749\n4178 6239\n70147 100000\n18167 27157\n73912 100000\n52736 79167\n68529 100000\n90969 100000\n12656 18912\n38457 57733\n6373 9485\n98598 100000\n52585 78936\n99877 100000\n35510 53291\n61437 92189\n67081 100000\n41249 61953\n87909 100000\n98424 100000\n21351 31959\n53699 80596\n44375 66643\n2550 3795\n77002 100000\n4249 6340\n36783 55205\n99095 100000\n51024 76629\n85640 100000\n39030 58614\n60377 90612\n45992 69055\n3267 4859\n20613 30862\n90277 100000\n9533 14208\n14331 21410\n9362 13962\n1139 1690\n26184 39194\n746 1102\n12324 18414\n73900 100000\n8204 12233\n61331 92033\n71623 100000\n33414 50137\n21284 31868\n75082 100000\n2296 3418\n10071 15018\n28789 43145\n78974 100000\n37853 56801\n65728 98581\n45293 68009\n91679 100000\n8855 13196\n20900 31301\n61014 91566\n99901 100000\n87033 100000\n89600 100000\n44221 66409\n60723 91132\n7852 11704\n80841 100000\n87183 100000\n20231 30284\n37004 55535\n97807 100000\n28993 43456\n36916 55402\n41194 61872\n60455 90729\n74798 100000\n32229 48328\n45490 68292\n85961 100000\n37893 56862\n74369 100000\n82289 100000\n31951 47908\n59554 89395\n73711 100000\n74638 100000\n79449 100000\n71532 100000\n62497 93781\n96633 100000\n61330 92031\n40923 61452\n4605 6880\n81853 100000\n29946 44878\n90217 100000\n99109 100000\n18009 26908\n43238 64960\n82637 100000\n29015 43487\n64023 96048\n77693 100000\n23407 35034\n55075 82665\n42062 63166\n26306 39384\n63668 95509\n23686 35443\n24039 35977\n70313 100000\n55086 82680\n99572 100000\n91026 100000\n83903 100000\n76036 100000\n49388 74185\n16432 24550\n32786 49177\n60894 91396\n67294 100000\n86139 100000\n19838 29693\n73008 100000\n33797 50716\n55549 83398\n85985 100000\n39155 58803\n96854 100000\n78858 100000\n61570 92391\n71189 100000\n85179 100000\n40359 60594\n87734 100000\n62387 93620\n12160 18171\n63488 95241\n95378 100000\n35449 53201\n35294 52968\n3687 5497\n28384 42525\n48204 72408\n59269 88971\n95962 100000\n17181 25676\n5439 8119\n4630 6913\n43470 65301\n33902 50868\n16665 24894\n80953 100000\n96605 100000\n64412 96622\n87616 100000\n85912 100000\n74250 100000\n34178 51277\n32352 48516\n38206 57345\n11479 17138\n55170 82806\n42081 63193\n36451 54707\n11021 16452\n80309 100000\n60740 91155\n63975 95975\n5254 7849\n42235 63438\n3303 4908\n81675 100000\n54431 81700\n19896 29779\n49020 73631\n74066 100000\n55053 82632\n13673 20433\n23557 35254\n43921 65964\n72823 100000\n7373 11001\n2661 3965\n87344 100000\n77042 100000\n19666 29435\n42658 64073\n56818 85307\n65215 97824\n40940 61479\n72425 100000\n68426 100000\n55251 82932\n10467 15594\n86649 100000\n46387 69654\n86204 100000\n78476 100000\n92293 100000\n44921 67445\n63577 95372\n61150 91773\n47196 70884\n39143 58787\n85879 100000\n28906 43322\n8253 12301\n21489 32178\n45100 67719\n13743 20536\n34953 52450\n52755 79194\n15824 23648\n95908 100000\n35405 53131\n94506 100000\n67570 100000\n24145 36127\n9132 13613\n30299 45428\n36880 55348\n89885 100000\n94331 100000\n95716 100000\n42076 63185\n470 693\n90375 100000\n39323 59053\n28844 43232\n34749 52152\n59928 89951\n52680 79082\n24274 36325\n37381 56099\n15703 23464\n51376 77163\n75416 100000\n50350 75618\n57841 86830\n57099 85731\n11889 17759\n91042 100000\n83458 100000\n91015 100000\n34271 51411\n13509 20188\n465 684\n2394 3557\n20965 31397\n50890 76428\n63566 95355\n44449 66756\n91946 100000\n91366 100000\n78187 100000\n66681 100000\n94045 100000\n83126 100000\n20294 30390\n26039 38977\n91357 100000\n50610 76026\n47732 71710\n56286 84506\n64438 96662\n3275 4870\n9652 14376\n72566 100000\n51366 77145\n76883 100000\n59737 89664\n41179 61847\n22397 33539\n66816 100000\n981 1450\n41486 62305\n13781 20589\n28486 42694\n14677 21921\n25932 38814\n81177 100000\n49917 74971\n76707 100000\n97093 100000\n97159 100000\n94823 100000\n26507 39689\n18344 27422\n96593 100000\n31308 46949\n81713 100000\n9322 13906\n19311 28890\n64951 97436\n7707 11495\n2880 4293\n7483 11165\n75597 100000\n99404 100000\n55896 83926\n95593 100000\n92480 100000\n83377 100000\n90778 100000\n89565 100000\n29307 43922\n49132 73797\n12472 18637\n51394 77193\n73947 100000\n15690 23446\n35599 53422\n5205 7778\n36971 55482\n38590 57940\n15627 23351\n78806 100000\n43562 65425\n31094 46625\n79601 100000\n1123 1665\n45749 68692\n81613 100000\n97966 100000\n97272 100000\n31791 47664\n50384 75666\n63806 95724\n74096 100000\n49086 73731\n11751 17545\n84495 100000\n27433 41090\n3523 5245\n5614 8365\n95647 100000\n63168 94765\n23321 34898\n62471 93742\n19453 29103\n33294 49949\n21379 32002\n91709 100000\n87567 100000\n62312 93511\n41032 61626\n98110 100000\n55503 83322\n34136 51212\n34704 52080\n98658 100000\n31277 46901\n5577 8312\n51429 77242\n54002 81058\n4053 6042\n88707 100000\n96801 100000\n28114 42115\n88504 100000\n37230 55874\n91750 100000\n96448 100000\n97410 100000\n17264 25795\n93520 100000\n51535 77397\n8211 12244\n1000 1475\n90612 100000\n2413 3588\n14423 21543\n28047 42016\n24580 36786\n40417 60683\n75933 100000\n75123 100000\n82954 100000\n68732 100000\n19477 29141\n80785 100000\n26934 40336\n29244 43830\n65501 98253\n4127 6160\n87068 100000\n75890 100000\n87598 100000\n40971 61526\n25239 37784\n97633 100000\n53128 79736\n48519 72868\n21497 32188\n91047 100000\n4992 7461\n60829 91296\n28536 42765\n91543 100000\n23768 35570\n52702 79118\n49158 73834\n13615 20347\n3241 4820\n77498 100000\n92392 100000\n43450 65277\n52721 79145\n40060 60148\n81330 100000\n72966 100000\n379 554\n47469 71302\n66790 100000\n10246 15274\n812 1199\n3877 5785\n14988 22368\n83805 100000\n98881 100000\n42036 63129\n57838 86825\n28833 43214\n56151 84299\n57674 86581\n56393 84670\n33719 50596\n49188 73879\n69892 100000\n81543 100000\n37427 56169\n92210 100000\n51087 76723\n14834 22141\n23207 34726\n67532 100000\n99005 100000\n19943 29847\n76712 100000\n29919 44834\n98635 100000\n19278 28838\n92864 100000\n92705 100000\n67603 100000\n810 1196\n55694 83623\n2450 3642\n43507 65350\n18997 28407\n66466 99677\n65583 98372\n82387 100000\n74014 100000\n33526 50304\n36932 55424\n41424 62218\n88752 100000\n40170 60307\n33361 50062\n67366 100000\n62616 93963\n56465 84777\n40443 60722\n81847 100000\n60537 90851\n878 1291\n85913 100000\n20241 30302\n7530 11235\n41971 63039\n95271 100000\n13930 20810\n90793 100000\n52330 78563\n71648 100000\n68893 100000\n18547 27720\n22450 33620\n79584 100000\n36616 54949\n65643 98450\n13692 20460\n99079 100000\n97781 100000\n17975 26860\n60356 90578\n5770 8595\n63788 95695\n11024 16457\n61039 91607\n99734 100000\n96082 100000\n60438 90704\n30674 46007\n47322 71074\n46866 70380\n79560 100000\n72596 100000\n98778 100000\n40249 60430\n37080 55648\n43962 66028\n92800 100000\n22384 33520\n22054 33022\n65766 98638\n22720 34010\n54941 82465\n62359 93579\n17074 25504\n76934 100000\n91208 100000\n64156 96244\n41745 62697\n94496 100000\n32372 48548\n11295 16858\n8617 12841\n84930 100000\n76477 100000\n86374 100000\n75737 100000\n36340 54547\n14446 21574\n4827 7207\n30732 46086\n46030 69111\n59275 88981\n79809 100000\n7206 10743\n83672 100000\n47847 71875\n66342 99494\n50383 75664\n39272 58973\n43117 64768\n83989 100000\n96741 100000\n454 664\n20788 31135\n63978 95980\n94714 100000\n34319 51482\n86147 100000\n21032 31492\n7882 11750\n42832 64336\n1609 2406\n15214 22714\n769 1135\n38770 58216\n73532 100000\n93853 100000\n26263 39318\n77948 100000\n83501 100000\n13904 20775\n16497 24646\n35763 53676\n77380 100000\n39437 59231\n60940 91461\n4129 6163\n3409 5065\n99758 100000\n92406 100000\n80887 100000\n20203 30241\n10236 15260\n21394 32026\n5548 8270\n61343 92052\n93747 100000\n36227 54384\n95770 100000\n22643 33894\n94319 100000\n64855 97293\n73789 100000\n4830 7213\n69398 100000\n48552 72914\n13898 20768\n36308 54499\n63461 95198\n94477 100000\n10620 15825\n38961 58510\n77915 100000\n58813 88301\n26637 39888\n69214 100000\n32497 48743\n31514 47258\n53786 80730\n93157 100000\n43402 65207\n13405 20039\n68276 100000\n96949 100000\n96371 100000\n98653 100000\n67266 100000\n67501 100000\n29713 44531\n95145 100000\n57685 86598\n44807 67283\n13505 20180\n6066 9028\n32973 49465\n13 19\n78618 100000\n33227 49853\n26584 39805\n74756 100000\n8014 11946\n33463 50212\n92626 100000\n70641 100000\n61630 92478\n48250 72476\n2172 3237\n47721 71691\n22180 33215\n9788 14593\n67702 100000\n81058 100000\n49699 74653\n35887 53867\n86727 100000\n23501 35175\n49502 74354\n50807 76312\n31849 47750\n88019 100000\n90484 100000\n56351 84608\n55065 82650\n22082 33067\n98423 100000\n53297 79996\n19428 29064\n72438 100000\n3442 5116\n38189 57318\n26153 39148\n66897 100000\n66486 99708\n76597 100000\n30752 46117\n37337 56023\n15244 22763\n25683 38453\n78141 100000\n30948 46414\n56182 84346\n20589 30830\n7064 10524\n13546 20239\n76480 100000\n79142 100000\n41664 62579\n6169 9181\n63594 95398\n68542 100000\n11062 16510\n30854 46272\n88976 100000\n71767 100000\n20061 30030\n62377 93605\n33551 50342\n6351 9455\n2888 4305\n78233 100000\n22691 33964\n82365 100000\n65667 98487\n87460 100000\n17336 25900\n77505 100000\n57139 85789\n35596 53417\n70300 100000\n28690 42993\n68910 100000\n55315 83035\n63864 95810\n11409 17032\n3868 5773\n46839 70340\n83586 100000\n63420 95135\n91649 100000\n32356 48521\n64234 96361\n43807 65790\n20815 31173\n40532 60868\n55415 83191\n42863 64378\n94893 100000\n83298 100000\n33610 50434\n79590 100000\n63357 95047\n64510 96779\n33245 49877\n1345 2006\n41131 61776\n29173 43723\n69993 100000\n38603 57963\n16390 24485\n43780 65748\n79800 100000\n28062 42037\n97948 100000\n71674 100000\n94865 100000\n93793 100000\n73524 100000\n92242 100000\n85453 100000\n84354 100000\n73319 100000\n30337 45492\n44008 66097\n16596 24791\n66071 99096\n3936 5871\n44588 66950\n62509 93798\n22560 33773\n97898 100000\n76803 100000\n71769 100000\n67998 100000\n37301 55971\n19665 29433\n94816 100000\n44957 67502\n91177 100000\n36198 54340\n48319 72573\n39162 58814\n92770 100000\n60327 90536\n46357 69612\n57007 85594\n11959 17860\n19123 28598\n82752 100000\n23216 34743\n65228 97843\n34218 51338\n61773 92690\n18823 28140\n24512 36685\n92329 100000\n88053 100000\n81680 100000\n55878 83900\n76156 100000\n64347 96525\n232 336\n27257 40825\n62600 93936\n85721 100000\n49358 74138\n21577 32309\n58160 87310\n8128 12117\n57513 86344\n21039 31501\n25127 37617\n200 290\n96650 100000\n73583 100000\n35588 53406\n36714 55101\n6811 10140\n22964 34362\n4342 6484\n33543 50330\n16996 25390\n4637 6922\n37170 55781\n18769 28057\n28347 42472\n4760 7107\n45579 68430\n34076 51123\n14770 22050\n14447 21575\n80797 100000\n36348 54559\n99710 100000\n55238 82911\n28762 43100\n32926 49401\n74534 100000\n79116 100000\n61718 92611\n31692 47526\n70492 100000\n97268 100000\n34660 52011\n93105 100000\n98512 100000\n62643 94004\n902 1330\n38856 58355\n7433 11093\n55122 82734\n83217 100000\n11845 17695\n12903 19280\n21157 31677\n87483 100000\n61412 92151\n7091 10566\n70241 100000\n64499 96761\n880 1295\n98974 100000\n42328 63588\n35471 53231\n16188 24183\n89190 100000\n12386 18509\n34616 51941\n24293 36358\n75729 100000\n69520 100000\n7063 10522\n4486 6696\n35140 52738\n42763 64230\n4942 7384\n33280 49928\n58076 87189\n75819 100000\n83446 100000\n6025 8969\n7715 11507\n69316 100000\n8915 13289\n70858 100000\n27413 41060\n41738 62687\n29122 43645\n72072 100000\n60652 91023\n67947 100000\n47185 70866\n92504 100000\n16761 25042\n99501 100000\n33835 50771\n47843 71870\n45670 68576\n94352 100000\n8744 13030\n44791 67261\n32418 48619\n88214 100000\n44274 66489\n71486 100000\n64354 96535\n84380 100000\n48190 72389\n33751 50644\n1438 2142\n99072 100000\n55644 83545\n65733 98589\n33003 49513\n97772 100000\n64309 96469\n94042 100000\n48904 73453\n76932 100000\n40225 60394\n19118 28591\n24060 36004\n61994 93022\n7067 10528\n5396 8056\n56343 84594\n47289 71028\n70606 100000\n6049 9004\n18660 27889\n31384 47064\n41584 62457\n29176 43727\n24510 36681\n30887 46318\n88865 100000\n86787 100000\n81276 100000\n10733 16008\n87197 100000\n62957 94461\n34162 51254\n71760 100000\n94078 100000\n14816 22119\n89787 100000\n67464 100000\n73776 100000\n21210 31755\n76090 100000\n99166 100000\n33659 50511\n19304 28876\n84566 100000\n57626 86512\n10327 15397\n35602 53426\n43468 65299\n25795 38613\n1172 1742\n79956 100000\n81468 100000\n19006 28418\n74076 100000\n82572 100000\n86503 100000\n14717 21971\n10273 15312\n41453 62257\n9029 13460\n62917 94407\n89414 100000\n77967 100000\n22613 33851\n15417 23020\n6802 10126\n94074 100000\n83083 100000\n93579 100000\n75756 100000\n20926 31338\n1964 2914\n30558 45824\n43944 65999\n8631 12860\n43087 64720\n25426 38068\n89482 100000\n44366 66627\n86588 100000\n7441 11104\n48249 72474\n19105 28569\n10609 15809\n21738 32548\n66674 99992\n53387 80133\n7669 11440\n85801 100000\n5181 7745\n31668 47495\n77370 100000\n98446 100000\n4552 6807\n45894 68906\n44794 67265\n52852 79334\n90990 100000\n35519 53307\n98149 100000\n14778 22059\n47029 70623\n38097 57175\n47016 70604\n33412 50135\n85142 100000\n54420 81684\n18499 27650\n48609 73001\n26484 39656\n32036 48039\n63099 94660\n57234 85933\n43401 65205\n48034 72153\n26166 39169\n15109 22555\n12337 18434\n70846 100000\n36045 54107\n4403 6576\n50185 75371\n55403 83172\n99112 100000\n39413 59195\n5616 8368\n92529 100000\n33263 49902\n64580 96889\n4395 6563\n1391 2072\n41752 62708\n35735 53635\n29361 44002\n60631 90993\n54261 81446\n96722 100000\n18113 27071\n93038 100000\n93524 100000\n29868 44759\n23454 35108\n74352 100000\n67290 100000\n22942 34328\n12739 19050\n39791 59759\n76658 100000\n11429 17060\n35275 52939\n15712 23478\n72480 100000\n56515 84848\n25908 38777\n93945 100000\n50761 76245\n68485 100000\n16997 25392\n25830 38666\n25853 38700\n27715 41525\n63865 95812\n93308 100000\n86655 100000\n23805 35627\n39608 59487\n60318 90523\n71664 100000\n55393 83156\n3889 5802\n91344 100000\n32437 48651\n37342 56031\n90513 100000\n23665 35413\n27571 41309\n54784 82231\n85952 100000\n81291 100000\n41446 62247\n11190 16698\n29627 44398\n11277 16833\n85585 100000\n75180 100000\n70323 100000\n23439 35087\n29958 44895\n39497 59324\n70999 100000\n70584 100000\n35094 52666\n85513 100000\n97609 100000\n29853 44737\n32766 49146\n16790 25087\n16379 24467\n86065 100000\n20959 31388\n32565 48843\n76918 100000\n61706 92591\n48531 72883\n65527 98289\n83423 100000\n59832 89805\n47315 71064\n87065 100000\n64885 97338\n1643 2454\n36672 55038\n57868 86873\n42167 63325\n26881 40255\n27068 40542\n63621 95438\n59595 89459\n27873 41761\n16079 24020\n70060 100000\n36102 54197\n70678 100000\n4261 6360\n95240 100000\n20800 31154\n49208 73909\n79198 100000\n47449 71266\n71073 100000\n4373 6529\n57569 86429\n22039 32998\n56791 85266\n81160 100000\n56466 84778\n46102 69219\n65140 97717\n44707 67135\n49263 73991\n17176 25667\n68367 100000\n63795 95705\n81437 100000\n97403 100000\n83453 100000\n54501 81808\n17952 26825\n46975 70540\n58844 88345\n26508 39690\n34061 51103\n96999 100000\n4438 6627\n2247 3347\n68119 100000\n55022 82585\n72518 100000\n97930 100000\n18665 27896\n42893 64426\n26469 39632\n86780 100000\n66692 100000\n31076 46598\n47213 70912\n73617 100000\n12607 18843\n67931 100000\n45315 68040\n40262 60449\n94739 100000\n6922 10309\n7037 10483\n47197 70886\n66321 99463\n30436 45639\n96215 100000\n78653 100000\n27042 40501\n87451 100000\n45122 67752\n90736 100000\n30417 45609\n60738 91152\n48416 72709\n5811 8658\n96592 100000\n94336 100000\n47022 70614\n62518 93813\n41285 62007\n20114 30110\n1353 2017\n49712 74671\n25151 37653\n24858 37211\n20213 30256\n62089 93167\n29588 44337\n58960 88517\n79774 100000\n92149 100000\n21941 32853\n20037 29996\n98630 100000\n10804 16118\n10779 16080\n1808 2691\n61954 92965\n64944 97425\n1963 2913\n73259 100000\n70541 100000\n41297 62026\n23278 34832\n15332 22895\n892 1313\n87482 100000\n81593 100000\n83006 100000\n91226 100000\n71446 100000\n61005 91553\n59103 88723\n17473 26121\n68264 100000\n93783 100000\n42437 63752\n44995 67560\n75720 100000\n30073 45073\n24046 35987\n63063 94611\n87199 100000\n99624 100000\n82973 100000\n76580 100000\n20050 30015\n87644 100000\n82113 100000\n96822 100000\n37932 56923\n45936 68971\n8332 12415\n45929 68961\n18760 28044\n94061 100000\n42214 63403\n91953 100000\n79524 100000\n84113 100000\n94990 100000\n70330 100000\n16758 25037\n9114 13587\n39300 59016\n8092 12065\n73914 100000\n20854 31229\n20439 30608\n28791 43147\n61582 92407\n46373 69634\n49892 74939\n31387 47068\n48206 72411\n6403 9530\n7487 11170\n38753 58191\n32180 48258\n70364 100000\n78818 100000\n85232 100000\n97422 100000\n38105 57187\n45688 68603\n86485 100000\n50901 76444\n82828 100000\n29512 44221\n2111 3144\n85377 100000\n14917 22263\n9455 14097\n17663 26395\n72371 100000\n33936 50918\n50018 75125\n12480 18646\n52211 78392\n19455 29107\n96019 100000\n34666 52020\n33380 50090\n48788 73275\n39953 59994\n35138 52736\n54226 81395\n78826 100000\n40858 61357\n77700 100000\n74163 100000\n12646 18898\n28683 42986\n84045 100000\n80032 100000\n16519 24677\n13449 20101\n21446 32110\n11246 16782\n12188 18213\n9277 13838\n23162 34657\n99690 100000\n55822 83819\n41807 62791\n49010 73615\n42677 64100\n44164 66324\n21530 32236\n2097 3122\n34391 51594\n29740 44572\n40884 61397\n42128 63269\n25394 38018\n99854 100000\n94458 100000\n32566 48844\n40960 61510\n66965 100000\n86720 100000\n88160 100000\n28670 42968\n15612 23327\n46694 70121\n61638 92491\n21703 32499\n35031 52569\n34309 51469\n16950 25318\n24526 36704\n42183 63350\n81694 100000\n15679 23428\n65536 98304\n84714 100000\n83634 100000\n92489 100000\n25508 38187\n91482 100000\n97845 100000\n2280 3396\n74173 100000\n27274 40848\n69853 100000\n4704 7024\n80400 100000\n79710 100000\n39794 59763\n22269 33352\n64567 96871\n18068 26999\n19720 29520\n32079 48103\n99488 100000\n66528 99770\n87358 100000\n21634 32393\n25805 38629\n23754 35550\n7060 10518\n16355 24431\n66958 100000\n45108 67731\n30484 45713\n93219 100000\n31974 47945\n28914 43334\n45932 68965\n50913 76459\n78878 100000\n34156 51245\n6333 9426\n42668 64087\n20056 30024\n71219 100000\n29082 43589\n92029 100000\n66753 100000\n87185 100000\n66952 100000\n53765 80697\n42519 63868\n18212 27223\n84375 100000\n61229 91879\n97151 100000\n31973 47943\n2748 4092\n96674 100000\n5702 8503\n95270 100000\n28453 42639\n88911 100000\n72991 100000\n30860 46281\n85753 100000\n3230 4804\n86894 100000\n27997 41945\n57828 86812\n71106 100000\n504 747\n17190 25689\n23356 34954\n65129 97703\n44215 66399\n46184 69342\n76227 100000\n62298 93491\n73166 100000\n19996 29930\n20708 31008\n17351 25926\n78061 100000\n30092 45099\n23300 34865\n29638 44416\n90066 100000\n62701 94090\n47314 71062\n96850 100000\n77516 100000\n93708 100000\n69341 100000\n98789 100000\n45359 68104\n4368 6521\n9615 14324\n77033 100000\n59490 89304\n49841 74865\n37385 56103\n84398 100000\n64359 96543\n3917 5841\n4119 6147\n56263 84467\n59265 88965\n82493 100000\n34211 51328\n52753 79192\n48320 72575\n60836 91306\n1511 2258\n40670 61078\n2945 4383\n78237 100000\n64035 96065\n94448 100000\n8348 12438\n41797 62776\n55182 82821\n72806 100000\n20240 30300\n65442 98163\n97087 100000\n96301 100000\n89134 100000\n64141 96219\n64473 96721\n75182 100000\n55882 83905\n46447 69746\n2228 3317\n39010 58586\n84668 100000\n41064 61677\n26444 39593\n87326 100000\n50557 75945\n65062 97606\n42952 64519\n37126 55718\n97755 100000\n17669 26404\n51354 77127\n83574 100000\n10684 15921\n80919 100000\n52091 78210\n17436 26060\n78695 100000\n39214 58888\n74171 100000\n16401 24503\n39928 59958\n94679 100000\n56600 84976\n70436 100000\n17792 26577\n45566 68409\n47390 71182\n68337 100000\n3850 5747\n36044 54105\n21724 32528\n74106 100000\n13263 19825\n91934 100000\n8181 12198\n4264 6363\n76865 100000\n34113 51178\n20387 30531\n86214 100000\n98839 100000\n48111 72268\n37668 56528\n62499 93785\n3400 5052\n83843 100000\n13939 20825\n13436 20081\n23354 34952\n56595 84970\n44685 67100\n61721 92615\n65233 97852\n3892 5806\n73639 100000\n97106 100000\n39610 59489\n16494 24642\n59409 89179\n54625 81991\n29034 43515\n53734 80649\n67312 100000\n98865 100000\n92875 100000\n27889 41785\n66232 99328\n95789 100000\n9909 14776\n57232 85930\n99869 100000\n13808 20629\n94237 100000\n56289 84510\n58651 88058\n45631 68514\n60358 90581\n57474 86283\n28022 41979\n23654 35397\n13226 19769\n35821 53767\n39251 58938\n26760 40070\n11408 17030\n84681 100000\n84321 100000\n975 1443\n30795 46183\n95318 100000\n12073 18035\n13806 20626\n89803 100000\n77760 100000\n84454 100000\n14013 20938\n79044 100000\n46996 70575\n61023 91582\n45307 68030\n39838 59827\n97037 100000\n44763 67219\n18311 27372\n77830 100000\n65024 97549\n33384 50096\n13054 19509\n74393 100000\n53874 80866\n67150 100000\n17119 25572\n27482 41167\n14822 22125\n53067 79648\n52545 78876\n89895 100000\n37736 56631\n23352 34949\n35011 52537\n97047 100000\n54239 81411\n96271 100000\n79224 100000\n56110 84243\n3492 5194\n382 559\n36520 54809\n63331 95008\n95342 100000\n36023 54074\n18226 27244\n82513 100000\n88145 100000\n29028 43505\n72653 100000\n76442 100000\n71499 100000\n96274 100000\n8774 13071\n27993 41939\n48118 72281\n828 1222\n68442 100000\n41607 62495\n79430 100000\n10907 16271\n88467 100000\n59166 88817\n86706 100000\n65641 98447\n73488 100000\n90044 100000\n23225 34758\n17834 26639\n12011 17939\n23865 35715\n90629 100000\n65262 97892\n63833 95765\n8978 13384\n97165 100000\n91580 100000\n51210 76909\n3493 5195\n61234 91886\n74126 100000\n17911 26761\n77201 100000\n6024 8968\n85635 100000\n37205 55834\n24947 37350\n26054 38999\n80134 100000\n4382 6543\n9802 14610\n34004 51015\n10004 14916\n77027 100000\n19064 28504\n6727 10008\n76168 100000\n37630 56473\n74913 100000\n70902 100000\n36452 54709\n14982 22359\n90961 100000\n9411 14037\n23263 34814\n14318 21391\n18918 28287\n87134 100000\n58209 87383\n18104 27057\n73231 100000\n89345 100000\n85838 100000\n29494 44197\n16968 25344\n88634 100000\n44452 66760\n98508 100000\n19214 28738\n38196 57329\n12576 18794\n20362 30496\n12460 18618\n29653 44440\n85028 100000\n11395 17012\n36889 55362\n27966 41900\n86607 100000\n13962 20859\n87371 100000\n3703 5520\n27752 41581\n11621 17349\n8135 12128\n5354 7996\n76464 100000\n23016 34437\n32419 48621\n58536 87878\n11702 17472\n42304 63546\n67079 100000\n17700 26446\n49087 73733\n54959 82490\n64134 96211\n88954 100000\n7265 10835\n79462 100000\n17513 26178\n58108 87234\n35386 53100\n13985 20897\n53054 79631\n19956 29868\n19872 29742\n34759 52167\n77571 100000\n2671 3976\n39434 59227\n98838 100000\n47627 71548\n52794 79249\n58824 88316\n67201 100000\n76120 100000\n13849 20691\n222 323\n18042 26958\n42817 64310\n67808 100000\n72555 100000\n26466 39628\n73591 100000\n38287 57476\n60181 90328\n30113 45133\n93567 100000\n91804 100000\n63089 94647\n71762 100000\n79974 100000\n30703 46044\n35374 53083\n91744 100000\n34715 52098\n20401 30556\n80791 100000\n49642 74561\n7054 10509\n20753 31079\n30011 44977\n16475 24611\n45098 67717\n95482 100000\n7201 10735\n69301 100000\n12490 18662\n13348 19951\n83467 100000\n61475 92252\n42584 63966\n2073 3082\n19321 28905\n88495 100000\n34428 51649\n24772 37080\n59021 88603\n35549 53348\n38657 58044\n2762 4112\n5047 7544\n82765 100000\n52838 79314\n16271 24303\n12573 18789\n69407 100000\n33985 50987\n18093 27038\n90536 100000\n17425 26043\n86018 100000\n63061 94608\n81876 100000\n25474 38139\n20527 30738\n13514 20194\n97276 100000\n50492 75840\n83794 100000\n67583 100000\n42516 63862\n98629 100000\n88293 100000\n9782 14585\n21131 31637\n92753 100000\n95199 100000\n84684 100000\n42351 63626\n20339 30462\n4647 6938\n95820 100000\n73110 100000\n96526 100000\n7393 11034\n88410 100000\n21186 31719\n13763 20563\n2552 3799\n70699 100000\n3845 5740\n22491 33676\n30965 46435\n49025 73639\n43020 64621\n84048 100000\n29781 44633\n92516 100000\n42093 63213\n60684 91068\n40038 60117\n86354 100000\n1118 1657\n49591 74485\n8709 12983\n90335 100000\n72793 100000\n66999 100000\n18232 27254\n14942 22300\n75378 100000\n5681 8469\n69790 100000\n8676 12933\n19192 28704\n40314 60528\n72479 100000\n12937 19330\n84247 100000\n40158 60290\n48147 72320\n4805 7174\n97197 100000\n15805 23617\n61139 91756\n65041 97575\n52835 79310\n47544 71420\n89570 100000\n22126 33133\n27032 40487\n19710 29505\n64465 96707\n96175 100000\n83521 100000\n97143 100000\n42536 63890\n55577 83440\n31856 47760\n94675 100000\n18856 28189\n76356 100000\n32672 49006\n72807 100000\n36942 55438\n45121 67751\n60179 90326\n54675 82068\n37594 56422\n96630 100000\n51161 76837\n9944 14831\n6771 10077\n51006 76599\n51369 77150\n93019 100000\n31012 46504\n55487 83298\n56069 84185\n327 478\n87653 100000\n27151 40667\n55468 83269\n91684 100000\n16594 24789\n63146 94736\n38548 57875\n46639 70036\n44090 66217\n74869 100000\n83811 100000\n500 741\n28724 43045\n37582 56404\n77363 100000\n85995 100000\n89753 100000\n57502 86326\n78674 100000\n28005 41954\n9340 13931\n45396 68159\n56097 84224\n86735 100000\n63384 95084\n11663 17407\n8127 12115\n80386 100000\n86772 100000\n42434 63748\n42554 63917\n40279 60476\n7963 11869\n23064 34504\n89824 100000\n51029 76634\n80422 100000\n11916 17799\n65465 98195\n77313 100000\n63647 95478\n54764 82204\n11888 17757\n35904 53892\n57638 86528\n45015 67592\n93584 100000\n62649 94011\n90567 100000\n3825 5711\n67752 100000\n64956 97443\n82036 100000\n38142 57247\n21052 31522\n63415 95128\n43509 65353\n37318 55996\n3001 4466\n3022 4497\n44107 66242\n75625 100000\n84255 100000\n73175 100000\n89949 100000\n76652 100000\n67841 100000\n90373 100000\n72125 100000\n34559 51855\n86451 100000\n75281 100000\n93140 100000\n60972 91505\n13307 19893\n19312 28891\n8087 12058\n82790 100000\n23512 35190\n47026 70619\n36707 55090\n98183 100000\n81777 100000\n5018 7501\n12273 18333\n96588 100000\n74842 100000\n78737 100000\n55404 83173\n61651 92510\n36382 54606\n28198 42246\n43280 65025\n56339 84588\n61599 92430\n23688 35447\n19394 29012\n89664 100000\n65084 97635\n50082 75224\n81638 100000\n45481 68281\n63767 95659\n46048 69133\n50268 75487\n66054 99070\n54346 81573\n62959 94463\n86035 100000\n31257 46868\n3202 4763\n51470 77304\n31665 47492\n76033 100000\n59667 89564\n58819 88309\n75878 100000\n10603 15800\n90915 100000\n13815 20640\n2255 3358\n43808 65791\n25405 38036\n43127 64786\n82879 100000\n44222 66410\n70870 100000\n78483 100000\n37331 56015\n81740 100000\n78886 100000\n95828 100000\n55595 83469\n10232 15253\n29330 43957\n49520 74379\n18798 28105\n43841 65840\n19662 29428\n54597 81953\n72804 100000\n61273 91942\n36786 55210\n72248 100000\n54271 81461\n83342 100000\n5307 7928\n48995 73593\n70009 100000\n18556 27734\n52523 78843\n57340 86094\n5795 8637\n39443 59241\n51969 78036\n71731 100000\n14769 22049\n83854 100000\n27952 41878\n85909 100000\n78714 100000\n89794 100000\n74172 100000\n9572 14260\n1954 2899\n56036 84132\n78790 100000\n7079 10546\n18524 27688\n86166 100000\n76030 100000\n56539 84887\n94171 100000\n27132 40638\n24829 37166\n97517 100000\n67419 100000\n83604 100000\n96896 100000\n76736 100000\n2323 3457\n1112 1648\n81083 100000\n1602 2396\n32913 49381\n21256 31824\n24806 37130\n27106 40600\n77383 100000\n83241 100000\n75697 100000\n18405 27509\n65412 98121\n37599 56427\n61182 91816\n42564 63935\n65659 98473\n90182 100000\n12111 18096\n62130 93232\n57738 86673\n27946 41869\n99996 100000\n57419 86207\n17028 25435\n50838 76357\n4987 7453\n72840 100000\n58316 87548\n48379 72656\n77208 100000\n34976 52486\n88464 100000\n74979 100000\n27495 41188\n90270 100000\n26893 40272\n17400 26001\n1276 1895\n81915 100000\n14430 21552\n85948 100000\n21016 31470\n89122 100000\n27817 41675\n90705 100000\n31657 47480\n88519 100000\n75120 100000\n92623 100000\n45754 68698\n77465 100000\n66027 99031\n37471 56235\n64168 96259\n92022 100000\n63052 94597\n342 502\n23906 35774\n18842 28166\n33387 50099\n13465 20125\n85059 100000\n38150 57259\n40689 61107\n9817 14633\n96773 100000\n3727 5561\n99991 100000\n7059 10516\n84527 100000\n83297 100000\n52267 78473\n2623 3909\n88979 100000\n55673 83592\n84707 100000\n35609 53439\n88245 100000\n20125 30126\n14463 21600\n36941 55437\n7395 11037\n60866 91352\n15224 22731\n92975 100000\n24349 36438\n10142 15120\n81824 100000\n16301 24347\n85014 100000\n94869 100000\n42781 64258\n18833 28155\n3849 5746\n21802 32641\n30936 46394\n93220 100000\n51503 77351\n29153 43689\n70875 100000\n16704 24954\n97951 100000\n94762 100000\n77435 100000\n72437 100000\n34129 51203\n9077 13530\n37614 56453\n22423 33581\n85173 100000\n87681 100000\n33644 50490\n25444 38093\n80114 100000\n83700 100000\n94626 100000\n29420 44090\n73328 100000\n14946 22307\n36068 54146\n83751 100000\n49934 74996\n9865 14706\n67130 100000\n46228 69412\n74422 100000\n52604 78967\n8442 12580\n71075 100000\n40731 61169\n80967 100000\n37226 55867\n10271 15310\n5523 8236\n56227 84411\n56704 85139\n12518 18706\n70319 100000\n10583 15766\n43898 65929\n42722 64165\n60645 91013\n28891 43301\n46798 70279\n11115 16590\n88077 100000\n99479 100000\n24862 37217\n65816 98713\n49006 73610\n14022 20951\n12610 18847\n40906 61429\n24643 36881\n44580 66939\n90408 100000\n27814 41670\n67380 100000\n18463 27594\n55680 83602\n38258 57433\n58134 87272\n64800 97211\n54280 81476\n2240 3335\n16498 24648\n81783 100000\n62015 93056\n6239 9284\n97342 100000\n27740 41564\n41639 62540\n43114 64763\n15571 23261\n34642 51983\n3640 5423\n88529 100000\n77221 100000\n1782 2656\n99036 100000\n19708 29502\n57199 85883\n86176 100000\n77986 100000\n43877 65896\n29076 43580\n10413 15515\n39471 59285\n30557 45823\n35891 53873\n48605 72995\n83992 100000\n57491 86309\n19641 29397\n18996 28406\n51009 76605\n80442 100000\n98980 100000\n64791 97197\n58085 87201\n74995 100000\n27459 41131\n70461 100000\n17143 25615\n55759 83719\n33475 50229\n8383 12494\n73449 100000\n90916 100000\n95713 100000\n78535 100000\n83114 100000\n70374 100000\n82040 100000\n39814 59790\n34011 51026\n33226 49852\n46219 69397\n93493 100000\n62893 94372\n23576 35282\n54626 81992\n96189 100000\n95741 100000\n27499 41195\n61815 92754\n93403 100000\n9033 13465\n46466 69774\n66659 99969\n37428 56171\n60575 90911\n31423 47126\n29240 43824\n72142 100000\n11929 17818\n64140 96218\n88581 100000\n63003 94529\n21673 32453\n82247 100000\n23525 35208\n18109 27065\n16205 24205\n10693 15937\n49510 74365\n66205 99289\n68794 100000\n14081 21036\n66443 99641\n88010 100000\n33179 49781\n42633 64038\n66629 99922\n2041 3033\n37466 56229\n94819 100000\n25711 38494\n96553 100000\n10725 15995\n34037 51070\n491 727\n36131 54240\n90456 100000\n82657 100000\n76875 100000\n20076 30054\n68069 100000\n97017 100000\n60634 90997\n41014 61594\n16141 24112\n15031 22436\n94466 100000\n68048 100000\n8164 12173\n59413 89185\n94634 100000\n63757 95643\n14821 22124\n43923 65966\n52624 78999\n57422 86210\n8873 13226\n77934 100000\n67154 100000\n16284 24322\n36437 54686\n90614 100000\n41992 63068\n34519 51793\n48243 72466\n65096 97653\n34082 51133\n99984 100000\n80264 100000\n39616 59499\n31549 47315\n29393 44050\n84401 100000\n30522 45772\n79243 100000\n96776 100000\n59248 88939\n98008 100000\n3007 4476\n42146 63297\n52996 79554\n16520 24678\n89692 100000\n92324 100000\n9769 14565\n31362 47029\n47312 71058\n271 394\n60849 91323\n68228 100000\n37039 55587\n23491 35162\n69838 100000\n65595 98389\n45302 68023\n90688 100000\n12611 18849\n38236 57399\n35461 53216\n54669 82059\n31347 47007\n79635 100000\n52285 78497\n40662 61065\n68297 100000\n54372 81610\n75360 100000\n63559 95345\n98528 100000\n87587 100000\n64056 96093\n798 1178\n37114 55697\n49665 74598\n69815 100000\n79036 100000\n37868 56826\n62872 94342\n28605 42873\n10254 15286\n29341 43972\n89350 100000\n94100 100000\n70969 100000\n33826 50756\n29680 44486\n80910 100000\n63878 95832\n87384 100000\n71939 100000\n74036 100000\n47326 71079\n24307 36378\n81076 100000\n19580 29298\n47386 71175\n5062 7567\n55820 83817\n3715 5541\n6757 10056\n96313 100000\n37943 56940\n24982 37406\n66191 99268\n60653 91024\n99979 100000\n53646 80515\n82816 100000\n34912 52385\n78296 100000\n565 831\n50226 75428\n43497 65334\n39888 59898\n60905 91412\n3993 5955\n46663 70070\n24454 36595\n30146 45184\n45482 68282\n26531 39727\n28084 42072\n97295 100000\n62245 93410\n15116 22567\n64283 96435\n93828 100000\n37207 55838\n43742 65691\n64237 96365\n14824 22128\n87220 100000\n6071 9035\n27426 41080\n96933 100000\n30785 46168\n48102 72252\n82307 100000\n96508 100000\n96025 100000\n15429 23037\n21943 32856\n89495 100000\n94705 100000\n2185 3254\n68738 100000\n13519 20202\n99126 100000\n57282 86002\n69588 100000\n87481 100000\n36816 55260\n29837 44714\n63429 95147\n11456 17104\n21743 32556\n95572 100000\n98927 100000\n74814 100000\n73340 100000\n82463 100000\n92565 100000\n70801 100000\n42912 64459\n80536 100000\n92054 100000\n67513 100000\n59113 88739\n23090 34546\n98992 100000\n23775 35581\n21237 31798\n50806 76310\n23253 34799\n51861 77879\n57174 85847\n12818 19160\n99903 100000\n99521 100000\n81724 100000\n28585 42838\n86878 100000\n81834 100000\n56018 84104\n22788 34104\n7107 10592\n54768 82209\n76001 100000\n84365 100000\n44283 66502\n36311 54503\n90816 100000\n13276 19849\n60620 90979\n27657 41435\n48455 72769\n59191 88857\n15955 23833\n84634 100000\n71401 100000\n85013 100000\n27691 41487\n78720 100000\n57476 86286\n53170 79798\n89370 100000\n65485 98229\n76668 100000\n74818 100000\n39193 58861\n41185 61857\n31828 47720\n76750 100000\n81382 100000\n92364 100000\n22103 33101\n29540 44264\n85813 100000\n80602 100000\n30039 45020\n24255 36298\n58419 87700\n83645 100000\n14227 21256\n34105 51163\n73934 100000\n87720 100000\n69635 100000\n54328 81548\n49244 73964\n50465 75797\n92980 100000\n26299 39374\n78515 100000\n12103 18082\n70717 100000\n69306 100000\n28819 43191\n50615 76033\n21552 32270\n6620 9855\n4355 6502\n66439 99635\n78822 100000\n87228 100000\n9969 14869\n28846 43235\n10079 15032\n35909 53899\n9032 13464\n29649 44434\n11821 17660\n65464 98194\n38663 58053\n25979 38884\n15441 23056\n71552 100000\n64930 97403\n59933 89958\n91301 100000\n14523 21688\n25351 37950\n39151 58798\n83359 100000\n88242 100000\n81106 100000\n13330 19926\n57854 86851\n67053 100000\n49073 73711\n20785 31129\n86383 100000\n92831 100000\n94735 100000\n38462 57740\n21942 32855\n34638 51977\n29031 43511\n72675 100000\n60605 90955\n5320 7948\n48944 73516\n6960 10366\n76533 100000\n57643 86536\n82361 100000\n214 313\n36929 55420\n19776 29603\n85827 100000\n71275 100000\n56126 84265\n11827 17669\n53889 80889\n27419 41068\n68985 100000\n8628 12855\n18733 28001\n52388 78648\n30942 46404\n25843 38685\n43177 64867\n20075 30053\n68125 100000\n98429 100000\n86771 100000\n370 541\n98569 100000\n9855 14691\n28923 43349\n94956 100000\n31566 47341\n98659 100000\n4859 7256\n14751 22024\n13025 19466\n33147 49732\n57325 86071\n7194 10726\n39176 58835\n57429 86221\n89791 100000\n68190 100000\n48130 72298\n9040 13477\n49236 73955\n33976 50972\n93002 100000\n85680 100000\n29714 44532\n99665 100000\n99606 100000\n47010 70595\n39531 59373\n35780 53703\n47533 71401\n61853 92811\n36456 54714\n43476 65308\n31814 47700\n65082 97632\n94110 100000\n50475 75813\n88431 100000\n28927 43356\n24876 37239\n4227 6308\n67610 100000\n14244 21283\n22887 34248\n23588 35297\n97243 100000\n34960 52462\n44030 66127\n53840 80815\n74407 100000\n57035 85635\n55957 84018\n30783 46166\n80409 100000\n64137 96214\n35593 53413\n10215 15225\n21037 31499\n64709 97079\n90997 100000\n50721 76181\n54427 81694\n87160 100000\n49173 73854\n50818 76329\n72922 100000\n26740 40040\n6127 9114\n94139 100000\n58672 88090\n85725 100000\n69539 100000\n90353 100000\n89195 100000\n8953 13346\n92750 100000\n20289 30381\n8015 11948\n98918 100000\n23329 34912\n80714 100000\n3317 4927\n5930 8830\n84477 100000\n70013 100000\n65975 98944\n37779 56690\n39732 59670\n95917 100000\n75264 100000\n18577 27765\n23199 34713\n53538 80355\n66904 100000\n87229 100000\n11258 16801\n28851 43242\n57151 85807\n32216 48309\n21338 31940\n69887 100000\n89959 100000\n26410 39544\n16326 24385\n68996 100000\n36683 55055\n36141 54256\n36079 54164\n3094 4602\n79321 100000\n29301 43914\n82619 100000\n28187 42228\n55074 82664\n63927 95906\n85476 100000\n93699 100000\n54357 81589\n14217 21244\n27950 41876\n53833 80804\n11687 17447\n91643 100000\n95452 100000\n77158 100000\n61446 92204\n47279 71015\n97275 100000\n18271 27315\n76275 100000\n84934 100000\n2826 4213\n78229 100000\n2568 3822\n95490 100000\n17161 25642\n23244 34786\n26860 40223\n9057 13501\n90996 100000\n54918 82429\n59312 89034\n79416 100000\n47971 72060\n54844 82319\n60724 91133\n14274 21325\n98345 100000\n78289 100000\n64662 97010\n51106 76751\n76792 100000\n12071 18032\n39581 59445\n81998 100000\n83240 100000\n15802 23613\n66155 99211\n82937 100000\n11291 16853\n17784 26563\n18497 27647\n33666 50521\n5667 8447\n39574 59435\n88015 100000\n5463 8149\n74044 100000\n81623 100000\n92168 100000\n29635 44410\n58690 88116\n85253 100000\n2088 3105\n7502 11194\n97125 100000\n95213 100000\n94455 100000\n28478 42681\n36050 54116\n10777 16077\n79675 100000\n63715 95577\n20948 31373\n42009 63090\n33187 49793\n55532 83369\n98884 100000\n94831 100000\n25007 37444\n42143 63292\n53969 81010\n11696 17460\n48195 72396\n38585 57933\n93130 100000\n51434 77249\n98075 100000\n82315 100000\n10827 16153\n41248 61951\n38838 58326\n53298 79998\n77743 100000\n27891 41789\n19092 28547\n64010 96029\n65858 98774\n65018 97541\n82914 100000\n42637 64045\n22433 33597\n13426 20067\n54900 82402\n54437 81709\n86986 100000\n13224 19766\n21948 32863\n56701 85134\n25547 38244\n69084 100000\n45430 68213\n37620 56461\n92139 100000\n53762 80692\n56614 84997\n69528 100000\n2842 4234\n45811 68786\n65890 98824\n42632 64036\n19366 28971\n11310 16880\n72008 100000\n74831 100000\n40510 60833\n94301 100000\n58007 87082\n30084 45087\n78812 100000\n30692 46029\n31638 47450\n66927 100000\n38921 58451\n85631 100000\n99438 100000\n59145 88787\n82317 100000\n45270 67975\n64226 96347\n48456 72771\n53905 80913\n32358 48524\n78662 100000\n87865 100000\n5229 7814\n66462 99671\n74220 100000\n87072 100000\n91002 100000\n39692 59608\n10511 15659\n62297 93490\n59015 88595\n76287 100000\n70804 100000\n71376 100000\n65827 98727\n97472 100000\n49176 73860\n61982 93005\n56668 85083\n66970 100000\n28278 42367\n51674 77598\n71474 100000\n39823 59804\n71514 100000\n78350 100000\n27739 41563\n87077 100000\n7962 11868\n96857 100000\n44318 66554\n70519 100000\n59858 89843\n25067 37528\n87277 100000\n92045 100000\n18117 27078\n5016 7498\n60264 90447\n33846 50786\n87782 100000\n29492 44194\n1702 2540\n9267 13822\n95747 100000\n12662 18922\n78428 100000\n64458 96695\n10535 15696\n99789 100000\n44200 66379\n87913 100000\n41337 62088\n18437 27557\n36080 54165\n59581 89438\n88317 100000\n90186 100000\n10456 15579\n52343 78583\n70352 100000\n85691 100000\n84351 100000\n99691 100000\n7754 11560\n80991 100000\n62404 93645\n91392 100000\n26290 39358\n47862 71898\n59046 88643\n6284 9351\n28438 42615\n4523 6759\n69180 100000\n50920 76471\n53135 79749\n20615 30866\n58153 87300\n92912 100000\n76157 100000\n37663 56519\n33982 50982\n85591 100000\n6715 9988\n14458 21592\n81182 100000\n45708 68633\n53066 79647\n29394 44051\n86071 100000\n77059 100000\n11275 16830\n65012 97530\n28800 43160\n89899 100000\n71166 100000\n21245 31811\n99936 100000\n53547 80367\n73883 100000\n64446 96675\n35565 53375\n54985 82531\n9807 14618\n97368 100000\n53865 80855\n35717 53607\n36401 54633\n79328 100000\n14881 22211\n62142 93250\n87989 100000\n54636 82010\n47920 71982\n85351 100000\n48661 73084\n15240 22755\n53994 81047\n6404 9531\n56554 84909\n42644 64055\n53450 80227\n73105 100000\n22785 34099\n85730 100000\n56047 84152\n35839 53794\n82220 100000\n69940 100000\n1016 1501\n22801 34124\n75154 100000\n71309 100000\n64162 96251\n41468 62279\n69342 100000\n93836 100000\n82692 100000\n2794 4162\n27498 41194\n58969 88529\n9179 13686\n51721 77669\n27202 40738\n5414 8085\n66485 99707\n28542 42774\n54623 81989\n74884 100000\n33080 49631\n90529 100000\n41479 62295\n95475 100000\n70563 100000\n15035 22443\n99682 100000\n63029 94565\n49903 74954\n86842 100000\n86593 100000\n37269 55932\n71698 100000\n42623 64023\n36539 54837\n61308 91999\n90955 100000\n84592 100000\n2241 3337\n23306 34874\n13625 20362\n74824 100000\n71750 100000\n38851 58348\n7267 10837\n87317 100000\n1563 2338\n21994 32930\n60819 91281\n44709 67138\n50470 75807\n29685 44491\n26571 39786\n76482 100000\n12140 18140\n87105 100000\n61369 92086\n48238 72459\n20169 30189\n88371 100000\n58379 87641\n3351 4978\n85581 100000\n57929 86965\n6085 9053\n36659 55017\n36577 54888\n32570 48848\n58095 87217\n27951 41877\n24135 36111\n89806 100000\n49351 74125\n72500 100000\n26060 39007\n37127 55719\n37067 55627\n8724 13005\n20474 30654\n96471 100000\n32088 48118\n77572 100000\n76758 100000\n64931 97404\n729 1076\n27001 40442\n65604 98402\n51577 77454\n86924 100000\n8188 12209\n47801 71808\n57746 86684\n75489 100000\n64166 96257\n86140 100000\n16999 25395\n56527 84869\n15484 23122\n91965 100000\n30745 46107\n13042 19490\n36496 54771\n30266 45375\n55158 82789\n64759 97151\n9919 14793\n13754 20552\n40636 61027\n62257 93427\n13326 19920\n37120 55707\n6494 9676\n63862 95806\n28786 43139\n46731 70178\n30429 45629\n15299 22847\n8144 12145\n65563 98343\n91745 100000\n1325 1976\n4294 6411\n9042 13480\n64708 97077\n91613 100000\n82820 100000\n64445 96674\n40386 60637\n14282 21337\n81751 100000\n81418 100000\n20372 30509\n49687 74633\n33182 49786\n15006 22394\n38584 57931\n37486 56262\n15779 23579\n37804 56730\n67355 100000\n85764 100000\n75003 100000\n37361 56065\n89695 100000\n86442 100000\n93834 100000\n13642 20387\n34014 51031\n93297 100000\n46382 69645\n95951 100000\n47572 71458\n84581 100000\n19398 29018\n82685 100000\n93978 100000\n16546 24717\n15934 23802\n29466 44154\n15419 23023\n96499 100000\n29145 43676\n95724 100000\n97921 100000\n50017 75124\n95961 100000\n30802 46194\n61131 91744\n82394 100000\n76782 100000\n87762 100000\n91856 100000\n58287 87504\n6499 9682\n40136 60258\n97658 100000\n48693 73134\n42853 64364\n53393 80140\n19242 28781\n68338 100000\n30070 45068\n38197 57331\n91318 100000\n82690 100000\n71846 100000\n73681 100000\n30248 45345\n86135 100000\n51190 76879\n63949 95937\n66247 99353\n18761 28046\n9942 14828\n36625 54964\n57413 86199\n39066 58671\n86974 100000\n23803 35624\n38157 57268\n73609 100000\n25859 38709\n52088 78205\n91602 100000\n94738 100000\n16169 24151\n52028 78120\n74751 100000\n30354 45514\n8132 12123\n99171 100000\n95080 100000\n13242 19793\n29303 43916\n43171 64857\n89714 100000\n30979 46458\n76183 100000\n7049 10501\n76600 100000\n10357 15438\n53251 79929\n90788 100000\n79932 100000\n23700 35468\n98198 100000\n1266 1883\n36109 54209\n38752 58189\n71280 100000\n54521 81838\n90926 100000\n89778 100000\n21739 32550\n63258 94897\n58 83\n469 692\n80462 100000\n99783 100000\n18155 27140\n92878 100000\n18521 27682\n943 1393\n77029 100000\n45412 68186\n64086 96139\n93746 100000\n68038 100000\n47821 71837\n19909 29799\n6910 10289\n20005 29946\n43891 65916\n93001 100000\n90769 100000\n30348 45507\n2440 3628\n4285 6396\n78221 100000\n96415 100000\n78501 100000\n53667 80547\n26943 40352\n97513 100000\n52553 78886\n75540 100000\n59000 88576\n80251 100000\n74466 100000\n3175 4723\n82105 100000\n55901 83934\n11588 17299\n68441 100000\n57214 85905\n15233 22746\n7078 10545\n87824 100000\n79312 100000\n87158 100000\n61816 92755\n66300 99431\n40981 61541\n62175 93303\n80948 100000\n11932 17822\n95494 100000\n44586 66948\n58799 88276\n35992 54025\n99828 100000\n61351 92062\n96847 100000\n64738 97121\n62661 94029\n83793 100000\n39877 59881\n29470 44159\n30911 46354\n58361 87611\n46901 70431\n81880 100000\n30148 45187\n95957 100000\n83403 100000\n51882 77906\n85125 100000\n88404 100000\n24963 37375\n82901 100000\n97100 100000\n67772 100000\n7227 10775\n1714 2557\n49470 74305\n7712 11502\n77545 100000\n79552 100000\n51976 78045\n32182 48261\n59491 89305\n79065 100000\n5302 7922\n98962 100000\n25411 38044\n88100 100000\n74685 100000\n52833 79307\n33614 50439\n93401 100000\n78545 100000\n11844 17693\n68899 100000\n49736 74709\n83902 100000\n48957 73532\n51746 77703\n17673 26409\n10784 16088\n91422 100000\n25679 38448\n36385 54610\n83796 100000\n35570 53381\n11600 17318\n25629 38368\n39364 59117\n72141 100000\n71207 100000\n722 1066\n75324 100000\n47647 71578\n3846 5741\n79567 100000\n1395 2078\n1815 2701\n94590 100000\n36363 54581\n99532 100000\n24766 37072\n48637 73045\n50739 76207\n48215 72425\n92332 100000\n73258 100000\n79313 100000\n18574 27759\n75564 100000\n99910 100000\n39121 58751\n24256 36300\n45200 67871\n74276 100000\n33784 50696\n51239 76954\n52804 79263\n32452 48674\n83859 100000\n37777 56687\n63931 95912\n76987 100000\n57090 85716\n65567 98349\n66836 100000\n67370 100000\n19112 28581\n63327 95000\n7576 11308\n64866 97310\n44370 66634\n81286 100000\n51400 77204\n71789 100000\n91217 100000\n91858 100000\n76723 100000\n19569 29282\n92162 100000\n96755 100000\n46267 69474\n70740 100000\n35409 53138\n67448 100000\n29050 43541\n52750 79187\n16187 24182\n48731 73190\n46266 69472\n93589 100000\n85332 100000\n51568 77441\n38002 57030\n18326 27393\n35319 53005\n59653 89545\n69521 100000\n73183 100000\n29697 44510\n27662 41442\n73736 100000\n49396 74197\n64384 96583\n77013 100000\n14975 22349\n48189 72387\n69410 100000\n27849 41721\n1712 2555\n40272 60464\n14226 21255\n72048 100000\n1730 2579\n95099 100000\n34920 52398\n69184 100000\n62486 93765\n44172 66336\n76489 100000\n6486 9665\n79915 100000\n27141 40649\n8455 12599\n87839 100000\n70564 100000\n72453 100000\n88216 100000\n68313 100000\n32010 48001\n74982 100000\n76038 100000\n69113 100000\n95450 100000\n87581 100000\n62553 93864\n74604 100000\n11373 16978\n34143 51223\n97147 100000\n43610 65499\n21248 31815\n38613 57975\n81322 100000\n84436 100000\n46828 70324\n24182 36187\n35443 53192\n16436 24555\n36571 54880\n48230 72447\n83667 100000\n99826 100000\n10126 15100\n88376 100000\n2334 3471\n54410 81669\n98577 100000\n72698 100000\n48048 72170\n51382 77173\n95902 100000\n13935 20819\n55089 82684\n8355 12449\n45112 67738\n38424 57687\n41452 62256\n45070 67676\n9405 14029\n16202 24201\n71707 100000\n44861 67362\n85340 100000\n10896 16256\n60260 90442\n29767 44613\n76271 100000\n22515 33710\n79145 100000\n1725 2572\n97659 100000\n47062 70676\n96384 100000\n14773 22053\n88817 100000\n96568 100000\n45662 68561\n69008 100000\n34277 51420\n20064 30036\n15012 22402\n18844 28169\n28528 42755\n97847 100000\n19867 29733\n96947 100000\n41719 62660\n68146 100000\n14438 21562\n52312 78534\n28772 43116\n75831 100000\n20352 30481\n18355 27438\n61949 92958\n38187 57315\n82907 100000\n56287 84507\n732 1080\n75252 100000\n73228 100000\n97913 100000\n47826 71844\n13416 20055\n85988 100000\n6694 9962\n36388 54613\n6941 10340\n43837 65834\n23059 34499\n16101 24053\n11495 17162\n72456 100000\n17574 26264\n615 899\n30929 46383\n20989 31432\n61361 92075\n49918 74973\n42051 63148\n1825 2713\n40122 60235\n13270 19839\n45402 68169\n38692 58099\n96309 100000\n80513 100000\n7099 10579\n54769 82210\n34165 51259\n88111 100000\n49156 73832\n41635 62534\n48246 72470\n83010 100000\n4418 6598\n88052 100000\n42435 63750\n90080 100000\n8138 12134\n43270 65009\n13688 20454\n73115 100000\n37738 56634\n111 152\n14436 21560\n99477 100000\n84945 100000\n32325 48475\n38362 57597\n66807 100000\n51717 77663\n46856 70366\n58225 87409\n17531 26201\n4425 6606\n66370 99536\n46136 69272\n32700 49049\n50847 76368\n35546 53344\n65855 98770\n9458 14102\n30265 45373\n28215 42274\n11506 17178\n56415 84702\n4084 6090\n77845 100000\n75239 100000\n8406 12528\n17842 26649\n55375 83127\n28826 43203\n24535 36716\n73849 100000\n75531 100000\n23276 34829\n99388 100000\n88561 100000\n15042 22454\n39744 59687\n46538 69886\n55547 83394\n86470 100000\n13225 19767\n77251 100000\n19424 29057\n25125 37613\n21377 31999\n79928 100000\n33530 50311\n24331 36411\n18851 28180\n73348 100000\n64295 96449\n17814 26613\n29019 43492\n24641 36879\n84421 100000\n4287 6399\n16595 24790\n33158 49748\n93495 100000\n24851 37199\n49416 74225\n81134 100000\n78464 100000\n64214 96329\n26898 40280\n7641 11402\n72625 100000\n69677 100000\n85816 100000\n25643 38388\n41735 62683\n40232 60403\n24736 37027\n47309 71053\n93508 100000\n44230 66422\n99212 100000\n99053 100000\n83454 100000\n82724 100000\n24573 36773\n62024 93070\n55240 82914\n69230 100000\n79754 100000\n33889 50850\n43622 65517\n92004 100000\n14986 22365\n80556 100000\n73097 100000\n8898 13262\n23983 35894\n9209 13729\n65814 98711\n53224 79885\n29363 44005\n84355 100000\n74396 100000\n75019 100000\n11162 16658\n71111 100000\n85732 100000\n66879 100000\n75057 100000\n61629 92476\n15027 22430\n37718 56603\n37576 56395\n63765 95656\n55377 83130\n84230 100000\n14390 21494\n45083 67695\n12428 18569\n52941 79471\n77724 100000\n62799 94233\n89363 100000\n62460 93723\n11908 17788\n55088 82682\n56828 85325\n36668 55032\n89307 100000\n76552 100000\n14828 22132\n6500 9683\n48004 72106\n24762 37065\n34266 51404\n11331 16912\n39784 59748\n6982 10399\n11084 16546\n84995 100000\n73238 100000\n72027 100000\n82786 100000\n39641 59537\n28131 42140\n27120 40619\n87355 100000\n78632 100000\n69760 100000\n17538 26212\n88210 100000\n12185 18207\n94009 100000\n6515 9703\n93998 100000\n53769 80704\n64350 96529\n90543 100000\n46557 69914\n13357 19965\n28796 43154\n27587 41334\n69158 100000\n85970 100000\n21689 32477\n36415 54655\n78161 100000\n21047 31513\n32210 48301\n52459 78749\n9173 13676\n17394 25991\n16979 25360\n31748 47605\n38011 57047\n35709 53593\n31072 46591\n44712 67141\n7242 10798\n69804 100000\n7976 11889\n70417 100000\n86465 100000\n19170 28671\n81017 100000\n38125 57220\n5359 8002\n19174 28677\n89839 100000\n80210 100000\n96300 100000\n59717 89636\n2317 3449\n39271 58971\n77396 100000\n40508 60830\n16084 24026\n14591 21787\n33276 49921\n91842 100000\n35496 53269\n22170 33199\n54248 81425\n89921 100000\n34851 52301\n46791 70265\n28194 42240\n41367 62132\n44738 67182\n48544 72903\n16832 25146\n85197 100000\n98643 100000\n84167 100000\n4439 6628\n95754 100000\n28249 42326\n41441 62241\n87539 100000\n91667 100000\n70478 100000\n13919 20796\n22882 34242\n53909 80920\n12287 18355\n71590 100000\n71600 100000\n31662 47486\n4217 6294\n54674 82067\n92483 100000\n94270 100000\n88167 100000\n3987 5946\n62343 93556\n36791 55217\n44217 66402\n43371 65158\n92478 100000\n21048 31514\n81789 100000\n65213 97822\n40808 61281\n21062 31535\n60140 90267\n52514 78831\n33532 50314\n5385 8041\n57255 85965\n22624 33867\n81511 100000\n44767 67223\n48689 73128\n29451 44132\n78003 100000\n25558 38262\n29669 44469\n14453 21586\n2439 3626\n17631 26351\n10659 15883\n71651 100000\n36112 54213\n35262 52924\n40058 60145\n39572 59433\n87562 100000\n51831 77835\n54581 81930\n76931 100000\n99469 100000\n79463 100000\n31785 47655\n90872 100000\n36104 54200\n86425 100000\n1634 2441\n73131 100000\n60469 90751\n6617 9852\n72578 100000\n13315 19905\n17087 25524\n86522 100000\n50218 75417\n59735 89662\n26529 39724\n38367 57603\n68810 100000\n81168 100000\n81233 100000\n21683 32467\n52288 78501\n7878 11743\n19984 29911\n1632 2438\n54337 81560\n18597 27796\n24168 36165\n14019 20946\n79193 100000\n69475 100000\n62304 93499\n154 216\n57945 86987\n34096 51151\n93802 100000\n97406 100000\n11369 16971\n99148 100000\n10797 16110\n92102 100000\n85566 100000\n25942 38826\n30751 46116\n88294 100000\n31110 46647\n61125 91734\n32444 48661\n90537 100000\n32054 48067\n33385 50097\n25812 38639\n44917 67440\n57228 85923\n64767 97162\n58190 87354\n17237 25756\n25531 38220\n24143 36124\n54374 81613\n16397 24496\n72327 100000\n31854 47757\n22013 32961\n7357 10981\n17667 26401\n99195 100000\n58371 87626\n79104 100000\n61431 92180\n72427 100000\n39281 58988\n41601 62486\n87445 100000\n21837 32697\n75938 100000\n95817 100000\n16003 23910\n89961 100000\n86491 100000\n45725 68657\n10955 16349\n47219 70920\n50272 75494\n69054 100000\n60006 90069\n64506 96772\n98339 100000\n84378 100000\n74607 100000\n95493 100000\n35972 53995\n99743 100000\n46690 70115\n16811 25115\n993 1467\n93595 100000\n68183 100000\n37755 56657\n14645 21872\n78098 100000\n16545 24715\n72586 100000\n47595 71499\n82990 100000\n26341 39440\n71123 100000\n39748 59694\n52693 79103\n7595 11334\n33366 50070\n17621 26337\n92374 100000\n70690 100000\n10463 15589\n32748 49118\n16215 24217\n49273 74007\n75088 100000\n40963 61514\n55353 83093\n63759 95647\n72973 100000\n86717 100000\n58520 87855\n74109 100000\n56156 84307\n82326 100000\n3588 5341\n35218 52857\n89691 100000\n97936 100000\n31757 47619\n9261 13812\n849 1251\n85023 100000\n70694 100000\n4423 6604\n52691 79099\n71483 100000\n65428 98143\n24564 36762\n71005 100000\n48547 72907\n91777 100000\n21547 32263\n30076 45077\n15832 23659\n24312 36386\n70139 100000\n29957 44893\n94278 100000\n84544 100000\n68842 100000\n89556 100000\n41669 62584\n97008 100000\n36918 55404\n601 878\n13589 20304\n70425 100000\n46265 69471\n55154 82783\n83962 100000\n65263 97894\n55218 82879\n1109 1642\n61060 91639\n13022 19461\n48706 73155\n2032 3018\n43361 65144\n96649 100000\n7780 11599\n39719 59650\n70968 100000\n51016 76617\n21686 32472\n6122 9105\n94060 100000\n26312 39394\n38010 57045\n63201 94814\n85664 100000\n86336 100000\n25641 38385\n51088 76724\n74187 100000\n8303 12371\n40152 60281\n3747 5589\n99721 100000\n53866 80857\n67142 100000\n1178 1753\n91669 100000\n59656 89550\n44481 66801\n23840 35682\n38227 57383\n69188 100000\n69088 100000\n19005 28417\n71371 100000\n51911 77948\n46908 70442\n44772 67232\n26645 39899\n78766 100000\n67035 100000\n13096 19576\n41756 62714\n52041 78138\n88287 100000\n98688 100000\n22192 33233\n67269 100000\n86102 100000\n80194 100000\n10188 15188\n44955 67499\n82814 100000\n53801 80754\n98397 100000\n70669 100000\n62894 94373\n60981 91517\n41059 61669\n56423 84715\n44747 67196\n40586 60947\n35530 53323\n5128 7667\n83887 100000\n35053 52600\n83638 100000\n51324 77083\n17479 26130\n24314 36390\n42344 63613\n40947 61490\n18066 26995\n47682 71634\n41860 62871\n32110 48151\n26560 39770\n87753 100000\n79643 100000\n97483 100000\n93254 100000\n66311 99448\n10213 15222\n26538 39737\n51781 77759\n93271 100000\n51435 77251\n9092 13554\n5919 8815\n92334 100000\n11400 17018\n21572 32301\n82313 100000\n49977 75059\n85627 100000\n99433 100000\n11172 16672\n74894 100000\n98562 100000\n24675 36939\n86915 100000\n41238 61936\n35956 53969\n69809 100000\n23383 34999\n5764 8586\n88849 100000\n73955 100000\n60610 90964\n81428 100000\n50640 76067\n99997 100000\n4026 6005\n98647 100000\n47075 70696\n62771 94191\n71484 100000\n2365 3515\n44322 66561\n36071 54150\n73974 100000\n2823 4208\n50547 75932\n4072 6070\n69404 100000\n83943 100000\n79690 100000\n46063 69159\n32995 49500\n28094 42086\n14949 22311\n35298 52973\n71533 100000\n64693 97056\n37784 56699\n39720 59651\n72987 100000\n82847 100000\n92748 100000\n35843 53801\n68349 100000\n9771 14569\n19656 29419\n36890 55364\n60379 90614\n10310 15371\n73671 100000\n34941 52430\n60287 90477\n83594 100000\n9741 14519\n83553 100000\n12949 19350\n21610 32358\n24994 37425\n32917 49388\n49919 74975\n7621 11369\n88805 100000\n48228 72445\n1519 2270\n16 23\n82488 100000\n69911 100000\n43866 65877\n38844 58336\n55700 83631\n50341 75605\n21611 32359\n87695 100000\n24677 36942\n76488 100000\n86972 100000\n51917 77957\n928 1370\n69204 100000\n2981 4437\n51918 77958\n96829 100000\n62692 94079\n61574 92397\n85175 100000\n43575 65448\n60335 90546\n64873 97320\n72594 100000\n75181 100000\n16485 24628\n47602 71510\n25121 37607\n51712 77656\n3974 5930\n48467 72787\n41046 61647\n87517 100000\n51381 77171\n91018 100000\n52660 79050\n24626 36856\n88173 100000\n7578 11311\n56610 84990\n68039 100000\n53182 79814\n63530 95303\n57611 86489\n88582 100000\n73278 100000\n52304 78524\n34344 51518\n72707 100000\n80366 100000\n36807 55244\n30095 45104\n58197 87363\n65850 98762\n92664 100000\n16554 24728\n97232 100000\n99496 100000\n25143 37639\n24651 36895\n95324 100000\n98491 100000\n40503 60822\n72366 100000\n26333 39428\n92263 100000\n4192 6260\n54887 82383\n19226 28755\n72263 100000\n86198 100000\n45002 67571\n14537 21713\n90607 100000\n26673 39939\n75989 100000\n22893 34256\n33761 50661\n20608 30854\n441 642\n17888 26723\n44069 66187\n60259 90441\n80983 100000\n34141 51220\n58845 88347\n80003 100000\n77900 100000\n64523 96798\n83021 100000\n13798 20614\n38459 57735\n2403 3574\n24120 36090\n67244 100000\n9361 13961\n17722 26478\n49474 74310\n60439 90706\n43203 64907\n74773 100000\n49060 73692\n1946 2890\n97841 100000\n76240 100000\n32470 48702\n33219 49843\n81158 100000\n51727 77677\n92062 100000\n47244 70959\n46131 69264\n79445 100000\n27687 41481\n42711 64149\n57699 86620\n65165 97751\n70432 100000\n36905 55388\n927 1368\n69181 100000\n6431 9574\n29473 44163\n34931 52415\n99367 100000\n27807 41659\n55225 82890\n92641 100000\n35915 53907\n30656 45978\n1261 1875\n55837 83845\n69964 100000\n53548 80368\n27302 40891\n94547 100000\n59618 89492\n74169 100000\n82371 100000\n60062 90150\n28971 43423\n73459 100000\n21044 31509\n53166 79793\n21406 32047\n98666 100000\n68655 100000\n57344 86099\n55962 84027\n1622 2422\n59531 89363\n79490 100000\n8464 12612\n97049 100000\n6192 9216\n12323 18413\n35924 53920\n32736 49100\n59408 89177\n8086 12057\n55060 82642\n53988 81038\n62800 94234\n6963 10370\n24933 37326\n60698 91090\n64906 97369\n72470 100000\n58283 87499\n13742 20535\n43427 65243\n2072 3080\n71874 100000\n92774 100000\n58677 88098\n90634 100000\n10802 16115\n68818 100000\n64585 96896\n49551 74421\n46241 69433\n41116 61755\n37548 56354\n83404 100000\n83599 100000\n47798 71805\n16300 24345\n80066 100000\n96106 100000\n88709 100000\n69774 100000\n89240 100000\n24195 36209\n77675 100000\n63834 95766\n292 425\n81245 100000\n31335 46989\n42798 64280\n32809 49213\n40190 60339\n41399 62182\n10028 14955\n19185 28694\n35782 53707\n47918 71979\n51851 77865\n12197 18223\n59567 89416\n70079 100000\n29864 44753\n5058 7561\n57363 86124\n69117 100000\n61495 92281\n36784 55206\n71893 100000\n88780 100000\n98107 100000\n83433 100000\n91316 100000\n88178 100000\n62953 94457\n32534 48794\n2397 3563\n71368 100000\n88592 100000\n65004 97517\n72216 100000\n31901 47830\n98539 100000\n99906 100000\n13651 20398\n15628 23353\n98559 100000\n20036 29994\n47106 70743\n18603 27805\n92644 100000\n10476 15609\n28255 42332\n95112 100000\n22043 33005\n59002 88579\n34443 51677\n12574 18790\n58926 88467\n4892 7310\n16029 23945\n73569 100000\n45677 68588\n81052 100000\n9755 14542\n35562 53369\n55753 83711\n29231 43811\n25545 38242\n20468 30647\n48209 72416\n970 1436\n81864 100000\n58687 88112\n34356 51535\n14880 22209\n72166 100000\n42390 63681\n42750 64210\n93211 100000\n30898 46337\n48548 72909\n67806 100000\n69555 100000\n99591 100000\n98237 100000\n44022 66118\n50117 75274\n47784 71787\n11489 17152\n38888 58407\n83201 100000\n8844 13179\n59399 89166\n26209 39236\n10800 16113\n74219 100000\n34939 52427\n78956 100000\n65363 98046\n87607 100000\n17959 26836\n96811 100000\n72276 100000\n30638 45949\n68013 100000\n21177 31707\n1252 1864\n75012 100000\n46986 70557\n98717 100000\n53375 80117\n19494 29164\n23232 34769\n4091 6100\n81297 100000\n13496 20168\n2356 3502\n68631 100000\n46383 69647\n67866 100000\n6544 9744\n74341 100000\n19822 29673\n22930 34312\n30541 45798\n5720 8526\n42475 63805\n85920 100000\n74047 100000\n71349 100000\n41508 62345\n96775 100000\n40281 60478\n54443 81718\n98713 100000\n28 40\n82495 100000\n41078 61697\n42443 63762\n70104 100000\n68329 100000\n72667 100000\n38564 57899\n27329 40936\n89102 100000\n39076 58686\n13636 20378\n6350 9454\n24238 36270\n36438 54688\n57615 86496\n71603 100000\n87811 100000\n23878 35734\n41548 62410\n38678 58077\n39312 59037\n82252 100000\n53328 80045\n56858 85372\n40530 60864\n3215 4782\n97200 100000\n71911 100000\n64877 97327\n15209 22708\n60870 91358\n51593 77481\n72273 100000\n49727 74695\n29787 44642\n67182 100000\n74657 100000\n57695 86615\n34832 52273\n34580 51888\n78746 100000\n1516 2266\n21501 32194\n83191 100000\n7521 11221\n85213 100000\n42965 64541\n96284 100000\n50195 75383\n1718 2562\n14925 22275\n2451 3644\n59359 89106\n70320 100000\n64637 96975\n9066 13513\n90322 100000\n43482 65316\n50032 75146\n51752 77710\n1168 1735\n5590 8328\n7734 11531\n23181 34687\n963 1424\n1208 1801\n49773 74759\n93738 100000\n26087 39047\n76923 100000\n1657 2475\n20340 30464\n71009 100000\n38286 57475\n87783 100000\n94358 100000\n40705 61131\n67010 100000\n20023 29973\n9367 13970\n49100 73750\n21120 31622\n18560 27740\n333 488\n11107 16577\n34451 51690\n44143 66293\n92964 100000\n97308 100000\n47837 71862\n58053 87151\n36436 54685\n34171 51267\n64682 97040\n86036 100000\n48949 73521\n65607 98406\n79141 100000\n65493 98241\n81362 100000\n89757 100000\n45939 68976\n72351 100000\n99245 100000\n99160 100000\n52096 78217\n17697 26443\n17 25\n16417 24524\n7096 10575\n83624 100000\n9273 13832\n54403 81659\n85144 100000\n47468 71300\n13346 19948\n21070 31546\n84453 100000\n36171 54301\n54263 81449\n55360 83103\n10670 15900\n33232 49859\n79492 100000\n24334 36415\n29089 43597\n5023 7508\n31625 47429\n9933 14814\n40319 60533\n32045 48054\n57094 85722\n7950 11849\n56348 84602\n83885 100000\n5057 7559\n51977 78046\n83524 100000\n5475 8165\n19911 29801\n14452 21584\n91766 100000\n33370 50076\n95570 100000\n21749 32564\n53626 80487\n1336 1995\n50902 76446\n42612 64008\n63996 96006\n93172 100000\n5989 8920\n45976 69030\n38620 57987\n51017 76618\n8508 12679\n35192 52816\n74682 100000\n34421 51639\n40600 60969\n39651 59549\n66219 99309\n71783 100000\n91103 100000\n73399 100000\n78581 100000\n49691 74641\n56556 84912\n12962 19372\n24442 36576\n85027 100000\n58903 88433\n27103 40596\n70376 100000\n25259 37815\n72434 100000\n3015 4486\n95351 100000\n78205 100000\n95659 100000\n39969 60017\n36724 55114\n45851 68841\n33482 50237\n49078 73718\n41186 61859\n2167 3229\n23045 34479\n28884 43290\n96128 100000\n97378 100000\n67426 100000\n13009 19441\n2815 4195\n79208 100000\n61320 92016\n77386 100000\n30203 45276\n65477 98215\n58762 88221\n99668 100000\n15940 23811\n12397 18526\n9701 14456\n7244 10800\n34054 51095\n25036 37481\n34815 52248\n66028 99032\n32817 49225\n52782 79230\n14559 21745\n51023 76627\n88810 100000\n57081 85700\n58246 87439\n4862 7262\n95471 100000\n1661 2481\n57304 86039\n72309 100000\n48673 73101\n51402 77206\n10959 16357\n52049 78149\n28065 42042\n64520 96793\n53999 81054\n12354 18459\n94592 100000\n82084 100000\n7197 10729\n52580 78929\n61349 92060\n93314 100000\n58900 88428\n87235 100000\n33528 50308\n29109 43624\n79851 100000\n50038 75155\n28035 41998\n55511 83334\n2824 4210\n35853 53814\n89636 100000\n86597 100000\n87053 100000\n41397 62179\n95314 100000\n45972 69024\n29064 43562\n60833 91302\n68512 100000\n77868 100000\n37036 55584\n76634 100000\n80590 100000\n89320 100000\n90409 100000\n12562 18770\n87877 100000\n58833 88328\n67008 100000\n56064 84177\n32502 48750\n4155 6201\n3550 5285\n76367 100000\n76217 100000\n45803 68775\n13300 19883\n80300 100000\n59564 89410\n79882 100000\n65791 98673\n88618 100000\n22021 32975\n81794 100000\n30410 45600\n2682 3993\n25653 38406\n61405 92139\n25384 38002\n31 45\n41085 61707\n53400 80149\n70653 100000\n65646 98454\n93782 100000\n3063 4555\n37169 55779\n47316 71065\n72558 100000\n36843 55300\n224 325\n91066 100000\n47810 71821\n9711 14470\n92953 100000\n95043 100000\n67932 100000\n70656 100000\n16895 25239\n74313 100000\n12641 18890\n82556 100000\n83142 100000\n80100 100000\n87752 100000\n72052 100000\n57207 85896\n61121 91728\n66022 99023\n40672 61081\n64946 97428\n17582 26277\n81791 100000\n81959 100000\n48056 72182\n52923 79443\n99797 100000\n57398 86177\n59949 89982\n81931 100000\n99773 100000\n65304 97959\n9525 14197\n86307 100000\n90474 100000\n24907 37288\n13954 20846\n22280 33366\n29747 44583\n43810 65794\n65454 98178\n56472 84786\n37852 56799\n5286 7901\n68404 100000\n15312 22865\n86324 100000\n83533 100000\n40943 61484\n97016 100000\n9090 13550\n67779 100000\n53034 79606\n30930 46384\n29681 44487\n71059 100000\n6048 9002\n633 929\n99424 100000\n14349 21433\n44599 66969\n70407 100000\n84659 100000\n81477 100000\n12019 17951\n56341 84590\n87366 100000\n30685 46020\n19679 29454\n64199 96304\n88414 100000\n82708 100000\n1332 1989\n4225 6306\n67849 100000\n32826 49240\n23732 35518\n26126 39106\n21781 32609\n64342 96518\n60710 91111\n49940 75004\n59785 89734\n48122 72288\n92828 100000\n12943 19342\n30884 46314\n31086 46612\n36190 54331\n61876 92851\n61298 91982\n32810 49214\n58042 87133\n67545 100000\n40183 60327\n54160 81302\n54450 81730\n58632 88026\n65346 98022\n38627 57997\n46826 70322\n45499 68305\n72502 100000\n27574 41314\n21594 32335\n77977 100000\n64091 96148\n1452 2164\n38591 57942\n58358 87607\n39418 59203\n14096 21059\n65518 98277\n88046 100000\n38887 58406\n67598 100000\n59730 89655\n52181 78348\n32353 48517\n30393 45571\n74624 100000\n137 193\n77468 100000\n30746 46109\n50559 75947\n57920 86950\n54864 82346\n38940 58479\n49030 73646\n82574 100000\n97036 100000\n77634 100000\n3984 5943\n99233 100000\n67240 100000\n11979 17890\n66921 100000\n12203 18232\n91575 100000\n59693 89601\n91171 100000\n78254 100000\n4918 7344\n32514 48767\n66505 99738\n17931 26792\n70644 100000\n54917 82427\n16742 25010\n59114 88740\n92990 100000\n68824 100000\n75709 100000\n7821 11659\n66307 99443\n48672 73100\n91704 100000\n64358 96542\n13638 20381\n81114 100000\n41459 62266\n47264 70994\n54666 82055\n30341 45499\n24790 37105\n18516 27675\n34090 51143\n79905 100000\n94560 100000\n853 1257\n25839 38679\n4444 6637\n26298 39372\n12926 19313\n659 969\n78356 100000\n71185 100000\n16706 24957\n78234 100000\n16060 23990\n27619 41379\n87759 100000\n2610 3890\n19395 29014\n95970 100000\n95424 100000\n56278 84491\n68012 100000\n59619 89494\n22201 33246\n10856 16196\n88652 100000\n99969 100000\n91412 100000\n76790 100000\n24126 36098\n37319 55997\n8330 12413\n58360 87610\n8528 12708\n16387 24480\n14445 21572\n65331 97999\n33810 50733\n74980 100000\n47174 70850\n52814 79278\n31581 47364\n41946 62999\n91326 100000\n40922 61450\n57922 86953\n152 213\n76097 100000\n24122 36093\n2455 3650\n21483 32169\n5879 8757\n96712 100000\n12446 18597\n88266 100000\n26790 40118\n49933 74995\n2641 3934\n29856 44741\n65341 98014\n36477 54746\n69991 100000\n59236 88922\n44351 66604\n65630 98433\n11563 17265\n39459 59265\n58481 87790\n4799 7164\n94135 100000\n11981 17894\n53515 80319\n85143 100000\n55319 83041\n97564 100000\n44855 67353\n32218 48311\n68547 100000\n46354 69607\n83974 100000\n2731 4069\n28374 42510\n22456 33629\n38936 58474\n28781 43133\n8597 12812\n9443 14081\n20581 30817\n58273 87482\n42567 63940\n59121 88749\n40352 60581\n59580 89436\n55078 82670\n57191 85871\n12681 18953\n91646 100000\n27417 41066\n22353 33476\n96851 100000\n71092 100000\n81353 100000\n60302 90500\n17427 26047\n32164 48236\n9043 13481\n71325 100000\n53091 79680\n85325 100000\n34968 52473\n8537 12721\n62101 93187\n63991 95998\n23193 34703\n91462 100000\n85589 100000\n36219 54372\n61814 92753\n44592 66956\n61597 92427\n96440 100000\n75651 100000\n7973 11884\n80062 100000\n43318 65082\n56909 85451\n54180 81329\n50484 75827\n75204 100000\n10542 15705\n73762 100000\n81376 100000\n42312 63560\n20316 30425\n91415 100000\n60735 91148\n44624 67007\n20411 30572\n91748 100000\n28652 42944\n52 75\n70134 100000\n62462 93725\n21042 31506\n65951 98911\n95109 100000\n42657 64072\n88102 100000\n97867 100000\n42212 63399\n68399 100000\n11284 16843\n7633 11390\n12500 18677\n82573 100000\n41566 62434\n92793 100000\n33464 50213\n39324 59054\n49306 74056\n67055 100000\n22009 32955\n69478 100000\n94015 100000\n29508 44215\n27933 41853\n65700 98536\n40886 61400\n77181 100000\n39773 59732\n23928 35807\n19798 29635\n81097 100000\n38395 57644\n87936 100000\n84492 100000\n35042 52584\n59947 89979\n19557 29265\n95398 100000\n44326 66566\n94364 100000\n83792 100000\n64556 96852\n61695 92574\n16158 24136\n78194 100000\n14072 21024\n62764 94182\n57951 86995\n37524 56316\n79451 100000\n58347 87589\n22362 33490\n92481 100000\n24403 36517\n42992 64580\n90875 100000\n78402 100000\n93082 100000\n71254 100000\n11001 16419\n67399 100000\n42879 64403\n59430 89211\n53331 80049\n28538 42768\n37575 56393\n18902 28263\n75202 100000\n47693 71649\n78859 100000\n40578 60935\n16245 24264\n20818 31177\n63992 95999\n43095 64733\n24785 37098\n90765 100000\n953 1410\n73323 100000\n25316 37897\n47352 71125\n16422 24533\n79574 100000\n19949 29856\n58808 88291\n68402 100000\n48257 72489\n75817 100000\n71563 100000\n18063 26990\n6556 9763\n97903 100000\n23336 34924\n98145 100000\n32898 49357\n38486 57780\n22130 33140\n69685 100000\n56294 84517\n50839 76358\n76276 100000\n30185 45247\n33583 50391\n24412 36529\n57724 86653\n6199 9224\n67802 100000\n10635 15846\n29277 43875\n4113 6139\n6446 9599\n30320 45464\n54867 82350\n17741 26505\n17099 25543\n36699 55079\n8981 13388\n3659 5453\n73327 100000\n52757 79196\n17052 25471\n15195 22686\n60500 90794\n45957 69002\n12157 18167\n80889 100000\n86167 100000\n8859 13204\n78669 100000\n50611 76027\n72997 100000\n79573 100000\n44454 66762\n84717 100000\n85735 100000\n85862 100000\n11602 17321\n12748 19064\n37172 55783\n94637 100000\n17280 25820\n57202 85888\n63013 94544\n6372 9483\n48492 72827\n6580 9798\n67093 100000\n64811 97226\n22916 34287\n58078 87191\n88574 100000\n31229 46829\n69719 100000\n93326 100000\n87433 100000\n37097 55671\n16457 24581\n18423 27537\n43455 65283\n95673 100000\n71673 100000\n3027 4503\n89000 100000\n97586 100000\n84122 100000\n96852 100000\n75951 100000\n61621 92463\n95974 100000\n42562 63931\n66346 99500\n96084 100000\n34086 51138\n17731 26493\n71626 100000\n35174 52788\n98260 100000\n7650 11414\n71601 100000\n79061 100000\n73378 100000\n40286 60487\n80332 100000\n67548 100000\n25646 38394\n97284 100000\n26572 39787\n94931 100000\n21986 32919\n78616 100000\n91636 100000\n16902 25248\n61996 93026\n81899 100000\n70010 100000\n45640 68528\n82970 100000\n32881 49333\n66925 100000\n21662 32437\n29860 44747\n67627 100000\n13396 20026\n29392 44048\n60522 90826\n22100 33097\n88828 100000\n50051 75175\n47551 71429\n99019 100000\n58508 87834\n22337 33448\n79657 100000\n79197 100000\n23603 35319\n14876 22202\n48943 73515\n41852 62857\n47114 70757\n56159 84311\n93824 100000\n64382 96580\n44769 67226\n64423 96637\n33165 49760\n93741 100000\n47100 70734\n83517 100000\n23463 35123\n96066 100000\n34079 51128\n26669 39933\n91413 100000\n53277 79966\n12180 18199\n90670 100000\n90695 100000\n12633 18880\n32064 48081\n91551 100000\n48537 72892\n44723 67160\n78649 100000\n71607 100000\n49036 73654\n36621 54957\n77617 100000\n91183 100000\n13812 20635\n40891 61410\n59363 89111\n2069 3075\n710 1047\n69578 100000\n2344 3484\n6439 9587\n90756 100000\n25914 38785\n38808 58279\n8860 13205\n32417 48618\n31215 46806\n75902 100000\n99088 100000\n53217 79875\n66902 100000\n450 657\n76806 100000\n89544 100000\n67170 100000\n26257 39310\n22084 33071\n97018 100000\n43745 65696\n87791 100000\n67766 100000\n64786 97192\n17368 25950\n34142 51222\n61442 92199\n18536 27704\n41378 62149\n25670 38434\n52874 79367\n9810 14622\n89130 100000\n9828 14650\n64712 97084\n88534 100000\n87972 100000\n19559 29267\n74599 100000\n19561 29270\n41187 61861\n15651 23388\n76516 100000\n80669 100000\n40213 60375\n88421 100000\n84667 100000\n30976 46453\n31115 46656\n19537 29234\n82095 100000\n17618 26334\n66909 100000\n92783 100000\n86287 100000\n99322 100000\n86298 100000\n8922 13298\n68401 100000\n61143 91762\n84760 100000\n35667 53524\n82524 100000\n90516 100000\n93559 100000\n89525 100000\n422 616\n86398 100000\n18973 28372\n50608 76022\n87343 100000\n83762 100000\n2587 3854\n37454 56210\n57259 85971\n55610 83494\n16507 24660\n61819 92759\n24928 37317\n78717 100000\n14219 21247\n94287 100000\n87568 100000\n74340 100000\n15642 23374\n80120 100000\n18171 27161\n45195 67863\n81516 100000\n33493 50254\n60945 91467\n62592 93924\n12698 18981\n33339 50024\n49279 74016\n81256 100000\n33726 50605\n28232 42301\n66367 99531\n56809 85293\n63702 95561\n58189 87353\n69657 100000\n25186 37706\n24384 36492\n59961 90003\n93322 100000\n47931 71997\n33426 50155\n69161 100000\n70299 100000\n35802 53738\n59963 90006\n73925 100000\n81498 100000\n75341 100000\n57152 85809\n95308 100000\n14417 21534\n48781 73264\n5937 8840\n14024 20954\n22204 33251\n47059 70671\n64258 96396\n37200 55827\n70831 100000\n15994 23893\n52414 78682\n23864 35713\n42931 64485\n84588 100000\n6942 10341\n32145 48204\n29606 44366\n88611 100000\n21027 31486\n69667 100000\n3296 4896\n55538 83380\n32305 48444\n60207 90365\n81572 100000\n51525 77380\n48358 72626\n83053 100000\n61944 92950\n43364 65148\n70131 100000\n28484 42690\n15093 22531\n29106 43619\n9429 14064\n35008 52534\n44514 66849\n13211 19747\n90368 100000\n28197 42244\n73197 100000\n53308 80015\n23876 35730\n18772 28061\n52549 78882\n74732 100000\n82381 100000\n43487 65322\n19758 29575\n70213 100000\n92165 100000\n10332 15404\n33201 49816\n66251 99360\n78542 100000\n11631 17364\n58114 87243\n51042 76651\n86288 100000\n33088 49642\n1092 1617\n11405 17027\n81952 100000\n52529 78854\n81373 100000\n15592 23296\n87978 100000\n99764 100000\n66567 99827\n65960 98922\n25763 38568\n24834 37175\n15716 23482\n50514 75876\n1320 1968\n77825 100000\n11160 16654\n72233 100000\n92914 100000\n92881 100000\n31548 47313\n3645 5432\n67494 100000\n41053 61658\n68462 100000\n11161 16656\n28390 42536\n92790 100000\n36898 55375\n12344 18443\n10099 15061\n8655 12898\n49704 74659\n19265 28817\n42254 63468\n46981 70549\n47004 70587\n99178 100000\n49768 74753\n68713 100000\n96924 100000\n2850 4246\n24432 36560\n57401 86181\n8037 11984\n77436 100000\n73969 100000\n43289 65038\n51222 76930\n78018 100000\n4391 6556\n32998 49505\n84859 100000\n90545 100000\n89381 100000\n57604 86479\n75999 100000\n15059 22480\n96516 100000\n16846 25166\n60494 90786\n24514 36689\n8098 12073\n29907 44818\n22474 33654\n15486 23124\n43589 65467\n33518 50291\n36182 54318\n30496 45731\n5434 8112\n21613 32362\n74779 100000\n98488 100000\n87938 100000\n76716 100000\n52401 78665\n75863 100000\n62465 93730\n234 339\n32149 48211\n53772 80708\n91384 100000\n94644 100000\n92799 100000\n95562 100000\n44084 66207\n16710 24963\n44420 66712\n79734 100000\n68751 100000\n64505 96770\n17571 26261\n33749 50642\n38415 57675\n23431 35073\n15747 23529\n84044 100000\n15250 22771\n27836 41703\n53300 80002\n88814 100000\n94529 100000\n86957 100000\n61568 92389\n10558 15731\n77946 100000\n78144 100000\n67761 100000\n56984 85558\n15323 22880\n89131 100000\n94980 100000\n3403 5057\n60650 91021\n12489 18661\n81953 100000\n68469 100000\n46721 70164\n44850 67346\n82077 100000\n8396 12513\n83118 100000\n12235 18282\n37550 56356\n53546 80365\n54751 82183\n31376 47054\n26019 38950\n5356 7999\n93968 100000\n9579 14268\n11565 17267\n97679 100000\n80394 100000\n7391 11030\n50762 76247\n12719 19018\n73034 100000\n14907 22247\n39019 58601\n47269 71001\n96869 100000\n98333 100000\n7588 11324\n51478 77315\n73057 100000\n16395 24492\n88968 100000\n79621 100000\n55972 84041\n5905 8794\n80280 100000\n63989 95995\n4039 6022\n19540 29240\n8554 12743\n34452 51692\n55812 83804\n13290 19870\n77399 100000\n2901 4325\n81235 100000\n88766 100000\n64197 96301\n30182 45242\n43670 65591\n32158 48226\n69153 100000\n56753 85208\n19292 28861\n87678 100000\n99975 100000\n71183 100000\n67442 100000\n24026 35956\n72189 100000\n30390 45565\n39518 59353\n30851 46267\n73857 100000\n41717 62656\n9122 13599\n25284 37851\n9117 13591\n2686 4001\n2775 4135\n204 297\n15036 22445\n17553 26233\n73649 100000\n60135 90261\n38573 57914\n87647 100000\n92240 100000\n49829 74847\n31194 46774\n61665 92532\n9105 13574\n74027 100000\n28449 42633\n58932 88476\n55314 83034\n64308 96467\n6316 9398\n19384 28999\n13719 20499\n66926 100000\n37975 56989\n43071 64700\n20373 30511\n74623 100000\n93235 100000\n34417 51633\n35727 53623\n50675 76115\n26512 39695\n64115 96183\n41681 62601\n64459 96697\n93481 100000\n78008 100000\n48664 73088\n87340 100000\n20512 30715\n39208 58880\n72530 100000\n42429 63742\n47008 70592\n83214 100000\n48116 72277\n46601 69978\n69516 100000\n28127 42132\n77746 100000\n35801 53736\n80217 100000\n3628 5408\n44729 67168\n75704 100000\n36058 54130\n26313 39396\n28764 43103\n58290 87507\n24097 36057\n12559 18766\n76722 100000\n89521 100000\n55675 83595\n59331 89064\n62067 93135\n39931 59962\n18814 28128\n64618 96948\n58101 87225\n70860 100000\n11578 17288\n46999 70580\n77402 100000\n37526 56319\n90700 100000\n16316 24369\n36339 54545\n66023 99024\n15386 22977\n77338 100000\n35538 53331\n46029 69110\n90064 100000\n50876 76410\n15959 23841\n66180 99250\n30861 46282\n14862 22183\n76346 100000\n50373 75651\n77991 100000\n73566 100000\n55136 82755\n26699 39980\n22383 33519\n75394 100000\n64061 96101\n75321 100000\n82406 100000\n15272 22805\n98951 100000\n41144 61793\n2019 2996\n66503 99736\n87652 100000\n25611 38341\n53707 80608\n3327 4943\n75827 100000\n76952 100000\n71807 100000\n972 1440\n98049 100000\n65756 98625\n62806 94244\n77846 100000\n55685 83611\n15992 23890\n52036 78131\n43463 65293\n22029 32984\n89374 100000\n84518 100000\n50773 76262\n5624 8382\n36758 55169\n15897 23750\n80449 100000\n27411 41056\n50676 76117\n37451 56206\n23575 35280\n92299 100000\n22236 33297\n98761 100000\n65368 98053\n20689 30980\n81018 100000\n11966 17871\n65633 98436\n85667 100000\n98453 100000\n4447 6641\n11550 17245\n78834 100000\n69249 100000\n25638 38379\n8366 12467\n54215 81379\n74494 100000\n72913 100000\n3102 4614\n22310 33409\n76079 100000\n19047 28478\n24607 36825\n59244 88933\n15067 22492\n60475 90759\n7795 11623\n4198 6269\n26686 39958\n37968 56979\n14951 22313\n27832 41698\n2933 4368\n15989 23886\n30919 46366\n83963 100000\n97886 100000\n81926 100000\n34006 51018\n34295 51448\n92684 100000\n18594 27792\n91611 100000\n9249 13795\n10468 15596\n31067 46582\n71803 100000\n10825 16150\n43007 64602\n81868 100000\n1426 2124\n42708 64144\n9717 14479\n12678 18948\n96569 100000\n64274 96422\n52751 79189\n48334 72596\n31795 47668\n18817 28132\n93423 100000\n52889 79391\n99384 100000\n1044 1546\n6947 10346\n86699 100000\n61951 92961\n50416 75719\n66357 99515\n29962 44900\n85928 100000\n80683 100000\n75493 100000\n40982 61543\n54637 82012\n71302 100000\n30889 46321\n54021 81087\n85533 100000\n533 788\n33568 50368\n31208 46797\n11154 16646\n38063 57122\n24670 36929\n15979 23870\n43609 65497\n43861 65869\n71974 100000\n73673 100000\n97868 100000\n16159 24137\n70480 100000\n75991 100000\n56762 85221\n82256 100000\n40622 61005\n87321 100000\n91111 100000\n56751 85204\n8439 12575\n1331 1988\n74677 100000\n14474 21616\n79485 100000\n15406 23005\n74582 100000\n90669 100000\n98040 100000\n37518 56306\n27623 41385\n63053 94598\n65605 98403\n69995 100000\n51417 77224\n5291 7907\n94719 100000\n63396 95100\n31582 47366\n3847 5743\n28276 42363\n83154 100000\n81435 100000\n78688 100000\n96994 100000\n75522 100000\n33834 50769\n22909 34278\n46390 69658\n81110 100000\n68607 100000\n62429 93678\n41824 62818\n80059 100000\n52322 78551\n59597 89461\n74432 100000\n61822 92763\n81044 100000\n83017 100000\n37717 56602\n6592 9814\n20004 29944\n36692 55069\n20214 30258\n94806 100000\n42774 64247\n2834 4225\n86760 100000\n12774 19104\n15692 23448\n84785 100000\n72916 100000\n67027 100000\n93160 100000\n44013 66104\n71751 100000\n32135 48189\n58428 87710\n26037 38975\n36997 55525\n53744 80664\n22214 33265\n32367 48538\n34150 51235\n33185 49790\n33760 50659\n48509 72852\n8095 12069\n44255 66461\n49265 73994\n23589 35299\n68825 100000\n29121 43643\n56749 85200\n46089 69199\n8051 12004\n51558 77428\n40423 60694\n85765 100000\n85098 100000\n41861 62872\n5852 8718\n21504 32199\n83254 100000\n21937 32846\n9406 14031\n56561 84919\n25118 37602\n1445 2153\n56535 84881\n65323 97987\n81768 100000\n66090 99118\n2121 3160\n46107 69228\n57533 86374\n11797 17621\n477 703\n21107 31602\n75516 100000\n19902 29788\n78643 100000\n51117 76768\n93866 100000\n89786 100000\n28066 42043\n99419 100000\n14702 21952\n64772 97169\n76010 100000\n33768 50674\n55405 83175\n18849 28178\n73866 100000\n17032 25441\n34861 52313\n28400 42552\n72461 100000\n32034 48037\n24102 36064\n88966 100000\n14181 21191\n58089 87206\n36960 55465\n43715 65655\n16051 23975\n2911 4340\n38879 58393\n15650 23387\n57187 85865\n31626 47431\n26277 39339\n23693 35455\n87741 100000\n73050 100000\n94210 100000\n6844 10189\n51271 77002\n78876 100000\n550 809\n33679 50539\n33241 49871\n82267 100000\n87591 100000\n33842 50781\n90068 100000\n70297 100000\n62928 94423\n85756 100000\n37661 56516\n58597 87972\n33598 50414\n18142 27119\n79427 100000\n7867 11724\n52805 79264\n12759 19083\n48671 73099\n69425 100000\n44765 67221\n88388 100000\n62490 93770\n5328 7959\n86769 100000\n64218 96334\n96594 100000\n94670 100000\n42292 63525\n93031 100000\n21694 32485\n79207 100000\n16929 25286\n96178 100000\n45487 68288\n9830 14652\n70943 100000\n42784 64264\n47039 70642\n72082 100000\n70287 100000\n17221 25733\n17850 26662\n36179 54313\n20636 30902\n56025 84115\n34916 52392\n23467 35128\n71 102\n49791 74789\n52391 78651\n83150 100000\n9604 14308\n19680 29456\n21768 32593\n3916 5840\n66244 99347\n45759 68706\n67074 100000\n40210 60369\n8032 11974\n10345 15422\n3535 5262\n90264 100000\n61083 91674\n57912 86940\n15706 23469\n48763 73239\n46057 69147\n62546 93855\n52888 79389\n5993 8924\n98395 100000\n16039 23959\n72892 100000\n79183 100000\n76034 100000\n1487 2220\n20403 30559\n17261 25789\n94561 100000\n48636 73043\n41857 62867\n75961 100000\n8304 12373\n34144 51225\n99656 100000\n14530 21701\n3652 5442\n88838 100000\n49328 74090\n87448 100000\n51729 77680\n67750 100000\n70720 100000\n43671 65592\n34304 51462\n98515 100000\n62348 93564\n80365 100000\n41097 61724\n1599 2393\n20765 31098\n77270 100000\n6505 9689\n94308 100000\n95054 100000\n63105 94668\n45927 68958\n19548 29252\n33544 50332\n97866 100000\n1713 2556\n88190 100000\n7318 10915\n23550 35242\n97853 100000\n88595 100000\n29320 43944\n29049 43540\n47404 71199\n5455 8138\n19501 29177\n56868 85388\n7953 11854\n70572 100000\n44878 67385\n16998 25394\n83789 100000\n69417 100000\n43295 65047\n3159 4702\n65651 98461\n11525 17208\n66683 100000\n45258 67957\n99947 100000\n37299 55969\n97168 100000\n72674 100000\n45545 68373\n15133 22594\n62974 94487\n55259 82946\n89092 100000\n51518 77371\n91147 100000\n37764 56670\n59625 89502\n20085 30069\n20887 31280\n52832 79305\n79869 100000\n95168 100000\n16231 24243\n73403 100000\n78320 100000\n91724 100000\n84989 100000\n64011 96030\n27223 40770\n38224 57378\n30306 45439\n63659 95497\n7051 10505\n21598 32340\n7922 11806\n27432 41089\n78064 100000\n89834 100000\n26904 40291\n51181 76865\n92317 100000\n37206 55836\n51327 77087\n17053 25472\n68198 100000\n43021 64623\n18860 28197\n44041 66142\n66306 99441\n76655 100000\n86163 100000\n53542 80361\n43855 65860\n47021 70613\n36043 54104\n40278 60474\n60501 90796\n57470 86276\n97520 100000\n35018 52548\n64783 97187\n15120 22574\n46844 70348\n46169 69318\n33430 50161\n29302 43915\n19936 29836\n10858 16199\n10450 15570\n18309 27370\n39023 58606\n1937 2879\n96014 100000\n36744 55144\n98565 100000\n26767 40082\n19261 28811\n13097 19578\n68693 100000\n98536 100000\n68278 100000\n79353 100000\n75917 100000\n23102 34565\n44638 67030\n34627 51959\n1924 2861\n27725 41539\n72953 100000\n98385 100000\n72108 100000\n93411 100000\n6957 10362\n47291 71030\n32697 49045\n60478 90762\n44735 67177\n32420 48623\n75133 100000\n95002 100000\n24843 37189\n8875 13229\n61067 91650\n75958 100000\n15531 23196\n88251 100000\n72349 100000\n39117 58743\n65114 97680\n64050 96085\n29014 43486\n78863 100000\n32525 48781\n94209 100000\n70781 100000\n4559 6816\n28511 42731\n19041 28469\n8489 12649\n92159 100000\n23100 34562\n27573 41312\n42164 63322\n51850 77864\n53940 80966\n57361 86122\n11674 17424\n72562 100000\n20027 29979\n50169 75349\n81039 100000\n51526 77381\n77831 100000\n37476 56245\n62438 93689\n57407 86190\n72180 100000\n10194 15196\n76653 100000\n24344 36430\n94787 100000\n36145 54262\n97010 100000\n43629 65529\n23663 35411\n36729 55120\n23699 35466\n76840 100000\n31476 47201\n63540 95318\n58529 87868\n359 526\n50205 75398\n58424 87705\n46584 69955\n71202 100000\n77220 100000\n66518 99756\n43800 65779\n65399 98101\n39996 60057\n33820 50747\n82499 100000\n99067 100000\n7405 11053\n21084 31568\n49669 74606\n5124 7661\n42342 63609\n76982 100000\n5588 8326\n83573 100000\n39308 59031\n11676 17427\n13726 20509\n19617 29356\n28807 43172\n96180 100000\n93123 100000\n48564 72933\n9004 13423\n56629 85022\n81659 100000\n29376 44025\n46013 69086\n11531 17220\n37554 56362\n19486 29155\n29866 44756\n71545 100000\n33231 49858\n3654 5445\n34848 52297\n56203 84374\n700 1029\n38252 57423\n2722 4054\n39460 59267\n33404 50122\n94925 100000\n62565 93883\n58169 87322\n98000 100000\n4542 6790\n10831 16158\n23163 34658\n3211 4776\n95640 100000\n54131 81262\n81583 100000\n86064 100000\n60636 91001\n85510 100000\n29945 44877\n49245 73965\n94578 100000\n38251 57422\n89245 100000\n51823 77823\n73627 100000\n39645 59543\n63332 95009\n3701 5518\n36842 55299\n58957 88513\n21224 31777\n42751 64211\n12765 19090\n29993 44949\n68861 100000\n70673 100000\n74877 100000\n20360 30493\n69049 100000\n50988 76573\n83470 100000\n10358 15439\n66556 99810\n99299 100000\n53517 80322\n26739 40039\n14018 20945\n27138 40646\n8312 12384\n64110 96176\n32488 48731\n78068 100000\n67017 100000\n11452 17097\n3100 4611\n54798 82253\n36222 54377\n5820 8672\n17639 26361\n87114 100000\n62364 93587\n29434 44110\n10514 15664\n44885 67396\n14057 21000\n49147 73819\n93585 100000\n83543 100000\n43191 64888\n1101 1629\n30663 45988\n44174 66339\n36837 55289\n68055 100000\n50563 75951\n87740 100000\n8463 12611\n81919 100000\n68604 100000\n26870 40239\n56044 84148\n22834 34170\n60340 90554\n5988 8919\n48618 73016\n35245 52898\n93979 100000\n38854 58352\n45127 67761\n29417 44084\n75804 100000\n53848 80827\n10882 16235\n5505 8208\n70196 100000\n96862 100000\n29415 44080\n97742 100000\n32649 48968\n33040 49569\n38939 58478\n76770 100000\n28266 42348\n29325 43950\n70336 100000\n22432 33595\n97005 100000\n41596 62478\n90196 100000\n71000 100000\n31790 47663\n90148 100000\n35653 53503\n1100 1628\n61050 91623\n73128 100000\n24222 36246\n18866 28205\n51419 77227\n80923 100000\n59787 89737\n17657 26386\n40816 61294\n49 71\n36303 54492\n8902 13270\n97509 100000\n92319 100000\n13718 20498\n70747 100000\n93127 100000\n80222 100000\n24801 37123\n43782 65751\n63982 95987\n92983 100000\n46194 69360\n52954 79491\n75098 100000\n39134 58771\n29485 44184\n22124 33129\n19004 28416\n17897 26736\n63051 94596\n10015 14932\n7999 11927\n23817 35649\n20923 31334\n46340 69585\n41856 62865\n72835 100000\n73735 100000\n47281 71018\n42131 63275\n58000 87073\n60036 90114\n16185 24178\n48893 73437\n65036 97567\n17243 25763\n42123 63260\n75654 100000\n5280 7890\n23871 35723\n4238 6324\n672 988\n12317 18403\n37958 56962\n74306 100000\n11200 16711\n29820 44692\n19721 29522\n64700 97065\n80549 100000\n39156 58804\n55104 82710\n8083 12051\n73280 100000\n1844 2745\n27407 41050\n52199 78374\n6294 9364\n80492 100000\n46127 69258\n49335 74100\n55967 84033\n42479 63812\n94554 100000\n7036 10481\n18436 27556\n45168 67820\n96740 100000\n45903 68921\n85854 100000\n51203 76900\n38232 57391\n40761 61210\n66615 99902\n20632 30896\n60131 90255\n11023 16455\n95141 100000\n35773 53690\n5474 8163\n68063 100000\n21548 32264\n38682 58084\n92463 100000\n8150 12155\n26588 39811\n90530 100000\n75176 100000\n95117 100000\n77629 100000\n4232 6315\n53045 79620\n26003 38926\n74157 100000\n54973 82511\n3315 4923\n67559 100000\n17426 26045\n99432 100000\n56552 84905\n17145 25619\n88412 100000\n36949 55449\n95704 100000\n28373 42509\n22315 33418\n99942 100000\n96786 100000\n11709 17480\n92207 100000\n50814 76324\n62125 93225\n26107 39082\n34285 51433\n77030 100000\n71160 100000\n93667 100000\n24251 36291\n52248 78444\n40775 61233\n60169 90313\n23392 35013\n35139 52737\n8639 12873\n6076 9041\n87600 100000\n98140 100000\n16715 24971\n57260 85973\n91835 100000\n85702 100000\n32269 48388\n32425 48630\n55187 82830\n71971 100000\n43619 65512\n86271 100000\n62495 93778\n2357 3504\n25701 38480\n1567 2345\n72289 100000\n8311 12383\n27810 41663\n98759 100000\n28982 43441\n18828 28147\n42321 63576\n36712 55098\n97148 100000\n35747 53653\n60423 90682\n92661 100000\n2608 3887\n35268 52931\n13975 20881\n64594 96909\n3824 5710\n88359 100000\n44053 66159\n86548 100000\n26371 39486\n41006 61581\n91476 100000\n87712 100000\n94759 100000\n14406 21517\n34193 51301\n77732 100000\n20012 29958\n93529 100000\n2008 2980\n59875 89869\n34888 52350\n72797 100000\n87979 100000\n64867 97312\n34163 51256\n12841 19192\n23054 34492\n52130 78270\n98062 100000\n20980 31420\n44823 67306\n94291 100000\n52819 79285\n22627 33872\n33950 50937\n92265 100000\n37649 56501\n16719 24977\n85869 100000\n82116 100000\n96884 100000\n41588 62464\n72811 100000\n22294 33386\n64621 96953\n85001 100000\n94323 100000\n93189 100000\n4806 7175\n48866 73395\n46120 69247\n93487 100000\n69613 100000\n63014 94545\n54737 82163\n30568 45839\n56896 85433\n34415 51631\n37375 56088\n66957 100000\n44774 67234\n18667 27899\n62217 93368\n89322 100000\n92908 100000\n36835 55286\n45251 67948\n57815 86793\n34575 51881\n40201 60355\n25226 37764\n41930 62975\n29066 43564\n11491 17156\n27052 40518\n31995 47977\n70331 100000\n94742 100000\n38414 57673\n94029 100000\n8065 12024\n29243 43829\n92764 100000\n53212 79867\n94868 100000\n88610 100000\n2685 3999\n2631 3920\n39902 59918\n53092 79681\n43703 65636\n31530 47285\n70321 100000\n33738 50623\n61726 92621\n6405 9533\n54238 81410\n11375 16981\n4632 6916\n22061 33035\n88011 100000\n46535 69881\n46032 69114\n29533 44253\n19063 28503\n64834 97264\n17387 25981\n18320 27385\n80219 100000\n6934 10328\n50982 76565\n96098 100000\n66075 99102\n19333 28923\n13853 20698\n50672 76112\n20067 30040\n51244 76962\n82570 100000\n28148 42164\n63908 95878\n49813 74825\n21505 32200\n3764 5614\n93820 100000\n69593 100000\n95720 100000\n95401 100000\n22809 34136\n35684 53552\n55970 84038\n16866 25196\n25039 37485\n19 27\n81164 100000\n54339 81562\n69821 100000\n55437 83222\n84406 100000\n10716 15978\n69476 100000\n8380 12490\n91117 100000\n10331 15402\n95441 100000\n4404 6578\n17282 25822\n26528 39722\n94916 100000\n87390 100000\n57844 86835\n4148 6191\n27561 41294\n43158 64836\n68010 100000\n86826 100000\n13223 19764\n37539 56340\n84489 100000\n3052 4540\n89728 100000\n3038 4520\n19705 29498\n88794 100000\n33451 50193\n34781 52199\n12200 18227\n5832 8688\n30960 46429\n32643 48959\n80842 100000\n57128 85772\n59283 88996\n44825 67308\n83402 100000\n33046 49576\n35397 53118\n49385 74180\n40080 60179\n43784 65753\n4152 6197\n96893 100000\n78030 100000\n31552 47320\n27846 41718\n19992 29923\n71168 100000\n58607 87987\n67088 100000\n16585 24775\n50738 76206\n96702 100000\n71923 100000\n43857 65863\n39715 59644\n35857 53821\n45454 68245\n90106 100000\n17464 26106\n39003 58576\n92785 100000\n56019 84106\n41121 61762\n5723 8531\n68730 100000\n1665 2486\n87557 100000\n93540 100000\n33057 49595\n58414 87693\n9370 13976\n17188 25687\n39347 59089\n23814 35645\n14481 21623\n81054 100000\n25499 38171\n54885 82380\n63630 95452\n60960 91487\n98283 100000\n19181 28687\n20066 30039\n80064 100000\n45054 67654\n31204 46791\n91187 100000\n30825 46228\n4115 6141\n69114 100000\n86998 100000\n64121 96192\n41357 62118\n21191 31727\n82471 100000\n14240 21277\n87727 100000\n72431 100000\n57397 86176\n31370 47044\n87038 100000\n64606 96931\n30562 45829\n50413 75714\n32020 48015\n25348 37946\n81248 100000\n37952 56952\n39730 59666\n42219 63410\n56768 85230\n57799 86767\n42501 63843\n43720 65662\n36490 54762\n93635 100000\n59686 89590\n55886 83912\n71045 100000\n91239 100000\n80423 100000\n49041 73661\n63910 95882\n4323 6457\n19701 29491\n8943 13331\n41716 62654\n29541 44266\n3098 4609\n79693 100000\n56295 84518\n10900 16261\n89139 100000\n9064 13510\n30729 46080\n20781 31123\n72874 100000\n87478 100000\n30103 45117\n88674 100000\n58244 87436\n32703 49053\n55422 83200\n57597 86470\n8689 12953\n84418 100000\n93290 100000\n58829 88324\n65702 98539\n5514 8222\n1176 1749\n63081 94637\n82717 100000\n70835 100000\n6062 9020\n28318 42426\n35369 53075\n17253 25777\n64417 96629\n30906 46348\n52846 79327\n66684 100000\n28512 42732\n1655 2472\n11016 16444\n22406 33557\n14451 21582\n42792 64273\n54949 82476\n64675 97032\n177 254\n97467 100000\n41354 62114\n11103 16573\n3521 5242\n85116 100000\n40647 61041\n62237 93399\n58668 88084\n33160 49752\n66543 99791\n9272 13830\n32688 49032\n48217 72428\n41435 62234\n69715 100000\n6040 8990\n56928 85477\n23808 35633\n36731 55124\n29007 43476\n40194 60346\n5524 8237\n29774 44623\n51790 77774\n87716 100000\n73501 100000\n31152 46709\n36871 55337\n88085 100000\n9474 14120\n45589 68448\n85716 100000\n40320 60535\n69886 100000\n72459 100000\n38626 57995\n71736 100000\n33235 49862\n13871 20726\n11762 17563\n20744 31065\n41509 62347\n98724 100000\n36737 55134\n44919 67442\n56439 84740\n63805 95722\n14103 21071\n72080 100000\n45689 68605\n16347 24418\n88207 100000\n45822 68802\n76588 100000\n59633 89513\n23674 35427\n55394 83157\n84476 100000\n58985 88553\n64151 96235\n14039 20975\n78791 100000\n702 1033\n35366 53071\n4207 6282\n12314 18398\n96697 100000\n76378 100000\n7598 11337\n84056 100000\n8998 13414\n23249 34793\n98596 100000\n67800 100000\n13920 20798\n6420 9555\n61293 91972\n44657 67057\n28917 43338\n64947 97430\n6969 10379\n53587 80427\n67886 100000\n84981 100000\n94820 100000\n19070 28513\n18397 27497\n34000 51011\n83364 100000\n98751 100000\n64813 97230\n78332 100000\n96899 100000\n14971 22342\n56741 85187\n33254 49888\n72251 100000\n77938 100000\n16428 24543\n2832 4222\n89262 100000\n84516 100000\n5265 7865\n7513 11210\n13848 20689\n49330 74093\n92112 100000\n23670 35421\n51411 77216\n93509 100000\n15887 23736\n92711 100000\n34112 51176\n1427 2125\n15641 23372\n91655 100000\n94900 100000\n70049 100000\n60935 91453\n37250 55906\n83420 100000\n92153 100000\n8829 13156\n42666 64084\n50108 75262\n35750 53656\n70446 100000\n90078 100000\n52977 79526\n37645 56495\n80796 100000\n15958 23839\n48894 73438\n1617 2416\n56091 84217\n89174 100000\n74655 100000\n46395 69666\n9091 13552\n64880 97331\n789 1164\n51015 76615\n19240 28778\n30315 45454\n20754 31080\n41616 62507\n50395 75685\n87492 100000\n6914 10296\n75596 100000\n52035 78130\n1405 2094\n36740 55139\n3329 4945\n41529 62377\n82737 100000\n1045 1547\n36719 55108\n22795 34114\n44669 67073\n91254 100000\n81689 100000\n41093 61718\n40275 60469\n86682 100000\n8506 12676\n57548 86399\n44339 66587\n84694 100000\n23872 35724\n40367 60608\n56007 84087\n61411 92150\n26979 40405\n41718 62658\n77139 100000\n74965 100000\n32014 48006\n10652 15872\n48076 72213\n93506 100000\n49079 73720\n11163 16659\n95085 100000\n56865 85383\n73119 100000\n10151 15135\n79959 100000\n94419 100000\n16683 24920\n54197 81354\n34168 51263\n69437 100000\n93295 100000\n51342 77112\n85447 100000\n84907 100000\n73512 100000\n90581 100000\n50143 75311\n7969 11877\n10998 16415\n42199 63376\n62724 94125\n87017 100000\n5048 7545\n1246 1856\n8337 12422\n81325 100000\n99933 100000\n46974 70538\n13987 20899\n60967 91498\n94661 100000\n42652 64066\n91050 100000\n63601 95408\n6295 9366\n71212 100000\n69402 100000\n71344 100000\n49501 74352\n30357 45517\n98623 100000\n25892 38754\n51348 77120\n79801 100000\n11061 16509\n80614 100000\n10234 15257\n74118 100000\n61353 92066\n7177 10698\n43731 65675\n45750 68693\n90941 100000\n62216 93366\n89745 100000\n65046 97580\n22497 33684\n86241 100000\n76330 100000\n39090 58709\n61542 92351\n88444 100000\n31248 46856\n43228 64944\n4714 7035\n96595 100000\n17527 26197\n68900 100000\n32692 49038\n73270 100000\n35438 53184\n22531 33734\n30065 45060\n80418 100000\n92241 100000\n38498 57798\n76286 100000\n18133 27104\n46651 70050\n63378 95074\n1962 2912\n10834 16162\n60820 91283\n68319 100000\n67796 100000\n43741 65689\n32475 48711\n85241 100000\n31303 46941\n9703 14458\n73239 100000\n52729 79158\n79815 100000\n12672 18939\n69001 100000\n47103 70738\n43743 65692\n98923 100000\n50627 76049\n49780 74769\n76364 100000\n59425 89204\n83576 100000\n13380 20001\n49332 74096\n25182 37702\n90323 100000\n87163 100000\n25062 37520\n73460 100000\n19779 29607\n94456 100000\n20842 31210\n47634 71558\n42975 64556\n91434 100000\n26163 39164\n23541 35232\n89492 100000\n46398 69669\n25728 38517\n8802 13116\n26629 39873\n6361 9468\n85471 100000\n51217 76920\n95187 100000\n99291 100000\n70768 100000\n26991 40426\n9712 14471\n51845 77856\n63977 95978\n39255 58944\n21233 31791\n46746 70198\n80364 100000\n61370 92087\n75045 100000\n65555 98331\n1755 2614\n77714 100000\n59023 88606\n12501 18678\n34830 52271\n67840 100000\n87316 100000\n57906 86930\n84672 100000\n65707 98547\n62754 94169\n79153 100000\n20319 30431\n15164 22642\n97273 100000\n5155 7705\n50967 76544\n28377 42515\n66425 99613\n69859 100000\n46615 70002\n49368 74152\n84041 100000\n35088 52656\n66283 99407\n6342 9442\n54822 82289\n92281 100000\n32885 49340\n79454 100000\n65498 98249\n66843 100000\n16222 24228\n93753 100000\n19991 29922\n79827 100000\n60400 90646\n36289 54470\n54174 81320\n26442 39589\n66931 100000\n93131 100000\n40027 60099\n22747 34051\n26183 39193\n6936 10332\n33130 49704\n90060 100000\n98438 100000\n60996 91539\n73918 100000\n32272 48392\n24729 37017\n91664 100000\n26694 39971\n89638 100000\n32347 48508\n3487 5187\n91025 100000\n15761 23551\n6003 8941\n1475 2202\n7794 11621\n91168 100000\n13888 20755\n28072 42055\n19100 28561\n86422 100000\n85762 100000\n48873 73406\n6731 10016\n32822 49233\n77937 100000\n91118 100000\n53791 80738\n24170 36168\n66849 100000\n72018 100000\n6319 9403\n7647 11411\n61942 92946\n65164 97749\n61443 92200\n35760 53671\n16789 25086\n52247 78442\n6312 9394\n46496 69820\n81955 100000\n63306 94969\n58950 88504\n50825 76339\n2673 3978\n59888 89890\n77847 100000\n58462 87763\n54492 81793\n31286 46916\n88982 100000\n41580 62452\n37928 56917\n67249 100000\n25188 37710\n52951 79486\n11342 16930\n87041 100000\n94632 100000\n98470 100000\n13858 20706\n89709 100000\n17477 26128\n2048 3043\n76921 100000\n6296 9368\n83195 100000\n47986 72081\n30701 46042\n50315 75564\n7377 11007\n10265 15302\n31904 47834\n43786 65756\n13234 19781\n32556 48828\n50141 75308\n50487 75832\n22050 33017\n33076 49625\n88714 100000\n43356 65138\n26813 40150\n79364 100000\n96204 100000\n95993 100000\n86257 100000\n32629 48938\n33143 49724\n72543 100000\n68159 100000\n24449 36587\n78850 100000\n56973 85540\n42368 63648\n50008 75109\n42283 63511\n87620 100000\n3978 5937\n65338 98011\n62210 93355\n67052 100000\n95634 100000\n31859 47763\n79794 100000\n58295 87515\n16509 24663\n8221 12257\n52469 78761\n81726 100000\n77439 100000\n56711 85149\n91290 100000\n39696 59613\n980 1449\n98074 100000\n11734 17518\n13284 19863\n39428 59219\n47605 71514\n81480 100000\n91022 100000\n95886 100000\n21031 31491\n9154 13646\n82172 100000\n10810 16128\n96045 100000\n93465 100000\n25703 38484\n31731 47581\n55885 83910\n53405 80156\n73779 100000\n49155 73830\n6602 9828\n61839 92788\n40397 60653\n20 29\n96747 100000\n34801 52228\n21391 32021\n30399 45582\n25649 38398\n40724 61159\n45592 68452\n43213 64922\n7993 11918\n83251 100000\n50972 76552\n64677 97035\n79671 100000\n10859 16201\n24783 37094\n48921 73479\n47452 71272\n2434 3620\n16825 25136\n89031 100000\n16974 25354\n87919 100000\n36961 55467\n18616 27822\n29710 44527\n22434 33598\n74411 100000\n51317 77073\n30023 44997\n58931 88474\n12523 18712\n24520 36697\n98098 100000\n19682 29459\n45346 68086\n72859 100000\n25490 38159\n51815 77812\n69157 100000\n74577 100000\n15632 23358\n29571 44310\n16072 24010\n96707 100000\n89666 100000\n93302 100000\n87872 100000\n63707 95567\n64656 97003\n86638 100000\n6564 9776\n17389 25984\n81753 100000\n790 1165\n16849 25170\n50768 76256\n19460 29115\n49876 74918\n85701 100000\n50783 76276\n35156 52764\n575 842\n98199 100000\n16647 24866\n66418 99602\n76759 100000\n43093 64730\n59555 89397\n84589 100000\n55646 83548\n84660 100000\n91038 100000\n30264 45371\n99206 100000\n89241 100000\n34762 52171\n44905 67424\n85983 100000\n96629 100000\n85226 100000\n29268 43861\n19011 28426\n66552 99805\n44427 66725\n35359 53062\n1275 1894\n17830 26634\n19944 29849\n63177 94778\n4133 6168\n28864 43260\n78291 100000\n93907 100000\n6680 9940\n7273 10846\n64903 97365\n39001 58573\n41795 62772\n44319 66555\n30386 45561\n84025 100000\n70208 100000\n45840 68830\n16431 24548\n40180 60322\n36664 55026\n45348 68088\n45974 69026\n19246 28786\n25571 38283\n88569 100000\n57415 86202\n17385 25978\n84820 100000\n7825 11666\n98230 100000\n55847 83857\n7156 10666\n53971 81013\n51820 77819\n55678 83599\n60508 90805\n69235 100000\n525 777\n20933 31349\n95273 100000\n32089 48119\n64653 97000\n65507 98261\n83205 100000\n39474 59291\n75967 100000\n30057 45047\n54211 81373\n63904 95872\n73548 100000\n12981 19400\n27410 41054\n76259 100000\n80354 100000\n22376 33510\n5911 8803\n13409 20045\n59848 89829\n16870 25203\n59183 88844\n84914 100000\n40326 60544\n99714 100000\n72421 100000\n15503 23149\n74517 100000\n90346 100000\n39212 58885\n35310 52991\n64539 96826\n89388 100000\n65973 98940\n65422 98135\n75089 100000\n33816 50740\n7111 10599\n39523 59361\n25757 38559\n88164 100000\n26091 39055\n88940 100000\n77528 100000\n24822 37153\n98922 100000\n37709 56589\n26485 39658\n36589 54907\n1582 2370\n34397 51603\n51973 78041\n17909 26758\n60625 90985\n26607 39839\n94226 100000\n57347 86102\n27613 41370\n63450 95178\n61703 92586\n94124 100000\n62885 94361\n6864 10218\n95060 100000\n27150 40665\n65830 98731\n32082 48109\n66901 100000\n78135 100000\n17816 26616\n45963 69011\n75215 100000\n23387 35005\n64861 97301\n74836 100000\n34401 51609\n72158 100000\n93906 100000\n82565 100000\n8621 12847\n79522 100000\n2948 4388\n28729 43053\n86560 100000\n15950 23826\n14092 21052\n220 321\n67477 100000\n72637 100000\n97355 100000\n66578 99846\n95025 100000\n66175 99243\n33458 50204\n50811 76318\n43478 65312\n82088 100000\n53891 80893\n62415 93659\n39061 58665\n59528 89359\n74243 100000\n19664 29431\n53378 80121\n9557 14238\n50294 75531\n44076 66196\n41538 62394\n85810 100000\n21821 32669\n54259 81442\n39605 59483\n79787 100000\n56085 84210\n12048 17997\n86218 100000\n87440 100000\n63031 94568\n58531 87870\n44497 66825\n60121 90237\n13832 20669\n66476 99693\n70291 100000\n57123 85766\n6107 9084\n20810 31165\n46463 69769\n69959 100000\n50582 75978\n63295 94952\n22393 33534\n76846 100000\n16610 24812\n64095 96154\n79978 100000\n98979 100000\n29922 44839\n91728 100000\n47335 71096\n81323 100000\n92068 100000\n21946 32860\n37636 56482\n56248 84443\n59158 88808\n28225 42289\n80164 100000\n95644 100000\n33697 50565\n84719 100000\n7864 11718\n77107 100000\n56045 84149\n884 1300\n48754 73226\n45166 67816\n39480 59301\n49019 73630\n66441 99638\n42444 63763\n68488 100000\n3601 5362\n85780 100000\n63789 95696\n95474 100000\n43627 65525\n39286 58997\n54169 81314\n23204 34720\n52706 79123\n71656 100000\n27371 40996\n37085 55654\n61114 91717\n78452 100000\n41847 62852\n92292 100000\n72877 100000\n38610 57971\n65561 98339\n67409 100000\n81632 100000\n86646 100000\n42134 63279\n88564 100000\n64316 96480\n43474 65306\n52510 78823\n50667 76106\n69041 100000\n18035 26948\n58059 87163\n9948 14836\n56101 84230\n14784 22071\n32026 48027\n85342 100000\n34687 52053\n61883 92859\n16592 24785\n56871 85392\n83262 100000\n2977 4430\n53738 80655\n95291 100000\n74010 100000\n67480 100000\n9481 14130\n37617 56457\n38597 57954\n14299 21362\n67319 100000\n29564 44301\n96422 100000\n28749 43081\n40313 60527\n27620 41381\n25998 38916\n12243 18291\n94378 100000\n11775 17583\n70453 100000\n66145 99194\n92369 100000\n96009 100000\n64081 96131\n15613 23329\n8868 13218\n28916 43336\n38291 57482\n93535 100000\n89423 100000\n44476 66794\n49521 74380\n74542 100000\n14827 22131\n78532 100000\n1849 2753\n3780 5639\n20547 30766\n89358 100000\n98063 100000\n62242 93406\n34699 52073\n98737 100000\n81129 100000\n3319 4930\n28573 42819\n42924 64475\n66246 99351\n52373 78625\n70068 100000\n38418 57679\n51189 76877\n50656 76090\n28901 43313\n43116 64767\n66402 99577\n57895 86913\n60457 90732\n54167 81311\n91977 100000\n75413 100000\n48227 72443\n98355 100000\n95533 100000\n32537 48800\n65992 98971\n23457 35112\n12798 19134\n79035 100000\n7945 11841\n5891 8774\n78209 100000\n99713 100000\n92295 100000\n81668 100000\n73815 100000\n48403 72692\n11335 16919\n75095 100000\n38869 58377\n48617 73014\n74845 100000\n5138 7684\n13662 20417\n98088 100000\n95787 100000\n60615 90971\n63843 95778\n81053 100000\n73447 100000\n43927 65973\n53202 79849\n26655 39913\n81551 100000\n82593 100000\n56214 84391\n72781 100000\n23796 35613\n67499 100000\n10001 14912\n11465 17119\n7529 11233\n71346 100000\n76096 100000\n77541 100000\n24955 37363\n84412 100000\n97379 100000\n80180 100000\n89081 100000\n95621 100000\n14205 21228\n73084 100000\n3904 5823\n42121 63257\n88998 100000\n72304 100000\n15161 22639\n58586 87955\n73772 100000\n46044 69128\n2271 3382\n97198 100000\n55401 83169\n51993 78070\n65483 98225\n27143 40652\n18721 27982\n34185 51288\n683 1005\n98422 100000\n78103 100000\n27824 41684\n59857 89841\n56903 85443\n68277 100000\n98770 100000\n88322 100000\n12219 18259\n86294 100000\n21012 31463\n65052 97591\n25164 37672\n59634 89514\n51283 77020\n59378 89136\n97924 100000\n41464 62272\n59982 90034\n7807 11640\n39261 58953\n55764 83726\n80420 100000\n91526 100000\n84183 100000\n89356 100000\n71036 100000\n5823 8676\n58034 87121\n7463 11136\n18716 27974\n13220 19759\n73221 100000\n81357 100000\n2189 3259\n79972 100000\n78322 100000\n95959 100000\n81505 100000\n15337 22902\n51438 77257\n60709 91109\n26320 39408\n60681 91064\n26302 39378\n43724 65666\n30815 46212\n58188 87351\n75550 100000\n36435 54684\n22143 33159\n92114 100000\n88468 100000\n80471 100000\n32836 49255\n68519 100000\n573 840\n88358 100000\n36606 54933\n63740 95618\n75167 100000\n20452 30625\n478 705\n96267 100000\n18422 27536\n97152 100000\n93360 100000\n70529 100000\n36260 54431\n71668 100000\n58217 87394\n27285 40866\n5773 8600\n91521 100000\n85236 100000\n63636 95459\n89616 100000\n37395 56121\n75187 100000\n23705 35476\n90488 100000\n77828 100000\n49963 75038\n46659 70063\n3383 5029\n21958 32878\n31860 47764\n45523 68338\n77404 100000\n3797 5669\n45852 68842\n21149 31665\n16669 24901\n5187 7753\n28422 42589\n52496 78802\n38390 57637\n62349 93566\n70483 100000\n41431 62227\n92554 100000\n15744 23524\n54884 82378\n34779 52196\n35157 52766\n51321 77078\n71056 100000\n2518 3748\n62050 93113\n60885 91381\n84654 100000\n96662 100000\n44964 67515\n84843 100000\n25948 38835\n93503 100000\n55355 83096\n27732 41551\n77004 100000\n20908 31313\n53015 79579\n75627 100000\n6377 9490\n52493 78797\n39916 59938\n71582 100000\n41082 61704\n60320 90526\n77173 100000\n8697 12966\n31575 47355\n48526 72876\n71025 100000\n16961 25334\n5232 7818\n48988 73585\n89760 100000\n17606 26315\n19279 28840\n77448 100000\n48286 72528\n84199 100000\n25068 37530\n19310 28888\n74119 100000\n97214 100000\n90352 100000\n3927 5855\n62583 93911\n45500 68307\n462 678\n74634 100000\n40835 61324\n35544 53341\n93278 100000\n26145 39137\n23038 34470\n14652 21883\n29154 43691\n38243 57409\n75901 100000\n761 1123\n85097 100000\n47453 71273\n97935 100000\n53493 80288\n55328 83056\n40465 60760\n60506 90801\n77725 100000\n604 881\n36956 55459\n38141 57246\n64113 96180\n12349 18450\n71017 100000\n25645 38392\n85190 100000\n61278 91950\n21055 31526\n97497 100000\n13201 19732\n40221 60388\n59746 89680\n42851 64360\n62670 94044\n41068 61682\n42592 63978\n94143 100000\n47943 72016\n9241 13782\n97691 100000\n43063 64687\n88213 100000\n43838 65835\n52813 79277\n37087 55657\n14514 21671\n82947 100000\n91550 100000\n22416 33573\n82285 100000\n80468 100000\n37805 56732\n53163 79790\n55101 82704\n51027 76632\n10365 15450\n68177 100000\n89196 100000\n93270 100000\n96228 100000\n32086 48115\n67469 100000\n40633 61024\n89009 100000\n22070 33049\n19903 29790\n18943 28323\n42162 63319\n87696 100000\n40290 60493\n89713 100000\n97929 100000\n7563 11287\n10862 16205\n83260 100000\n68822 100000\n97678 100000\n21474 32155\n12942 19340\n77774 100000\n17316 25871\n23931 35811\n62131 93233\n15707 23471\n51925 77969\n14984 22362\n56551 84904\n11614 17338\n53301 80004\n14171 21177\n22210 33260\n45721 68651\n82996 100000\n1663 2483\n3959 5909\n15698 23458\n78405 100000\n33802 50722\n44100 66231\n16046 23968\n23846 35690\n70329 100000\n32547 48813\n35535 53328\n34279 51424\n13137 19636\n24084 36038\n88623 100000\n30762 46132\n20748 31073\n79755 100000\n6100 9074\n26055 39000\n44660 67060\n15975 23865\n31393 47078\n45354 68097\n60883 91377\n1667 2488\n8152 12158\n50740 76209\n27418 41067\n60498 90792\n53983 81032\n10148 15129\n55241 82915\n55000 82554\n35806 53743\n39355 59104\n7220 10765\n94846 100000\n28218 42278\n86412 100000\n11572 17277\n27763 41597\n43311 65072\n65526 98287\n31034 46534\n6412 9543\n18080 27019\n4185 6250\n24623 36852\n58947 88498\n15177 22661\n72501 100000\n32004 47992\n57900 86920\n36106 54204\n33128 49702\n6118 9099\n23413 35044\n99763 100000\n93959 100000\n8795 13104\n11181 16688\n65204 97808\n26633 39880\n30639 45951\n50466 75799\n58176 87333\n90366 100000\n4531 6773\n18649 27872\n25720 38506\n76993 100000\n58274 87483\n25049 37501\n59195 88863\n86134 100000\n8148 12151\n41406 62192\n24957 37366\n73842 100000\n8750 13037\n22352 33474\n76463 100000\n25302 37875\n27699 41499\n64974 97471\n17391 25986\n84830 100000\n37150 55752\n94391 100000\n6607 9837\n49487 74329\n48201 72404\n16314 24366\n82385 100000\n93358 100000\n13429 20072\n45703 68627\n8782 13083\n92337 100000\n86255 100000\n5968 8890\n8694 12961\n76740 100000\n16501 24652\n81308 100000\n64449 96679\n81537 100000\n88106 100000\n97478 100000\n40455 60742\n30645 45959\n45997 69062\n79239 100000\n58328 87565\n55635 83531\n49758 74739\n33735 50618\n79136 100000\n42745 64201\n38373 57613\n54388 81636\n10552 15721\n32501 48749\n58012 87089\n37835 56775\n22917 34289\n19194 28706\n57908 86934\n75395 100000\n32012 48003\n94649 100000\n57883 86896\n89234 100000\n51145 76813\n48716 73169\n98338 100000\n3285 4883\n14940 22297\n68551 100000\n33110 49673\n36113 54214\n52132 78273\n67087 100000\n92712 100000\n1228 1828\n36965 55472\n17614 26328\n45562 68402\n690 1015\n5912 8804\n4659 6957\n3503 5211\n75616 100000\n92386 100000\n78585 100000\n10824 16148\n51994 78072\n29812 44679\n89152 100000\n51192 76883\n17323 25880\n57223 85917\n48036 72155\n99741 100000\n96625 100000\n79446 100000\n40442 60721\n11616 17341\n14870 22194\n11590 17303\n17801 26592\n36897 55373\n10018 14936\n12067 18027\n49625 74538\n48315 72567\n32389 48577\n7635 11392\n63049 94593\n80310 100000\n8153 12159\n57885 86900\n26822 40162\n87692 100000\n86501 100000\n68640 100000\n54902 82406\n68102 100000\n54077 81175\n68149 100000\n45706 68631\n71370 100000\n83172 100000\n9450 14091\n84481 100000\n31310 46952\n77878 100000\n24981 37404\n22333 33444\n76606 100000\n72847 100000\n10675 15908\n23648 35389\n94487 100000\n80580 100000\n8505 12674\n87188 100000\n95504 100000\n62749 94161\n59422 89199\n94700 100000\n18417 27528\n55370 83120\n938 1386\n47169 70841\n97709 100000\n8773 13069\n36191 54332\n45232 67916\n23312 34883\n41925 62968\n56730 85173\n41611 62500\n81873 100000\n42232 63433\n21859 32732\n96383 100000\n81610 100000\n49113 73768\n5312 7935\n43109 64755\n72460 100000\n80659 100000\n50792 76289\n95156 100000\n83348 100000\n8260 12310\n43668 65588\n40883 61396\n54460 81743\n53201 79847\n65831 98732\n44597 66965\n69373 100000\n83826 100000\n12037 17979\n76996 100000\n15783 23585\n83991 100000\n97655 100000\n74450 100000\n19160 28657\n59970 90017\n56890 85422\n34621 51950\n33343 50032\n85431 100000\n53175 79804\n59637 89519\n77265 100000\n98176 100000\n15398 22995\n29270 43865\n3732 5568\n51193 76884\n1623 2424\n36948 55448\n26950 40362\n99354 100000\n27642 41414\n61572 92393\n72010 100000\n94333 100000\n47095 70726\n3477 5172\n66712 100000\n11099 16567\n35173 52786\n27692 41488\n36476 54745\n79363 100000\n9412 14038\n66490 99716\n51311 77064\n54589 81943\n43691 65619\n42383 63670\n44293 66516\n32568 48846\n39461 59268\n91043 100000\n37076 55641\n24574 36775\n58269 87477\n37275 55939\n90035 100000\n96491 100000\n67547 100000\n48652 73069\n67516 100000\n14830 22134\n75658 100000\n14351 21437\n39401 59175\n66144 99192\n36328 54530\n64339 96513\n31391 47075\n41989 63064\n29987 44939\n39018 58599\n83737 100000\n54156 81296\n65317 97979\n46907 70440\n17373 25960\n75050 100000\n78325 100000\n30857 46277\n23640 35376\n38360 57594\n90698 100000\n50419 75723\n82397 100000\n57056 85663\n42458 63781\n5366 8011\n84990 100000\n28178 42215\n70482 100000\n19360 28962\n39152 58799\n87472 100000\n87558 100000\n22471 33649\n27816 41673\n26441 39588\n48082 72223\n75603 100000\n31018 46512\n57982 87045\n95940 100000\n22309 33408\n62772 94193\n34499 51762\n24542 36727\n2657 3959\n19476 29139\n34231 51357\n8579 12784\n49403 74205\n32220 48314\n39447 59248\n58915 88451\n52120 78254\n58239 87427\n63573 95366\n67391 100000\n65914 98857\n92279 100000\n42400 63699\n17592 26293\n59774 89718\n39210 58883\n26589 39812\n12051 18001\n47730 71706\n76551 100000\n57089 85714\n25697 38473\n10553 15722\n91263 100000\n56224 84406\n59278 88986\n56469 84782\n20167 30186\n33053 49589\n59150 88796\n82950 100000\n21893 32780\n95502 100000\n71964 100000\n47120 70767\n65539 98308\n60515 90816\n83891 100000\n7567 11295\n53283 79974\n40831 61318\n96792 100000\n38343 57565\n44764 67220\n97421 100000\n77884 100000\n33028 49554\n44785 67252\n2887 4303\n87677 100000\n95258 100000\n8695 12963\n17382 25973\n63263 94904\n77043 100000\n58280 87493\n8659 12904\n57359 86120\n61426 92171\n26534 39731\n61413 92152\n7450 11116\n12149 18156\n503 746\n38031 57075\n76711 100000\n96413 100000\n68677 100000\n92116 100000\n33763 50664\n60662 91038\n4620 6901\n93177 100000\n68830 100000\n79883 100000\n34493 51752\n18127 27095\n45938 68974\n52590 78942\n21646 32411\n40006 60072\n99130 100000\n7828 11671\n39804 59776\n34180 51280\n93393 100000\n9225 13755\n31601 47393\n55859 83875\n93772 100000\n25054 37508\n86169 100000\n5269 7872\n80191 100000\n93139 100000\n26046 38985\n58349 87592\n79027 100000\n55724 83668\n81796 100000\n2987 4446\n66915 100000\n18408 27513\n1531 2288\n54379 81623\n41593 62474\n70702 100000\n76775 100000\n5977 8903\n9885 14737\n482 713\n40501 60819\n413 603\n7740 11539\n68724 100000\n53179 79810\n6193 9218\n24401 36515\n24410 36525\n29745 44580\n3583 5334\n17562 26247\n21657 32429\n53704 80604\n73052 100000\n90039 100000\n81401 100000\n81831 100000\n29552 44281\n80427 100000\n50927 76480\n17962 26840\n69346 100000\n88308 100000\n25306 37881\n63421 95136\n71085 100000\n21561 32283\n66161 99221\n29021 43494\n43442 65264\n82205 100000\n8680 12939\n10297 15350\n80537 100000\n36403 54636\n38113 57201\n11328 16907\n5955 8869\n54136 81268\n5727 8537\n17716 26470\n52329 78562\n96627 100000\n21494 32184\n89276 100000\n50230 75432\n28454 42641\n51420 77228\n22688 33960\n3823 5709\n94117 100000\n11804 17632\n52684 79089\n32177 48253\n31987 47965\n67653 100000\n19114 28585\n46274 69485\n99958 100000\n81311 100000\n81978 100000\n57878 86887\n67503 100000\n91402 100000\n62674 94050\n2523 3755\n84813 100000\n28882 43286\n99752 100000\n95391 100000\n48794 73285\n76864 100000\n5765 8587\n13039 19486\n30204 45277\n45372 68122\n74674 100000\n7751 11555\n45008 67581\n87485 100000\n94451 100000\n88068 100000\n80858 100000\n10096 15057\n81287 100000\n19831 29685\n91535 100000\n33585 50394\n61771 92688\n48766 73242\n62729 94134\n93881 100000\n70681 100000\n16766 25050\n83577 100000\n92710 100000\n69194 100000\n79452 100000\n40795 61264\n49212 73917\n43420 65233\n42494 63832\n61855 92815\n45902 68920\n94099 100000\n86162 100000\n53476 80265\n55181 82819\n4347 6491\n23456 35111\n23744 35537\n83900 100000\n31594 47383\n79630 100000\n27751 41580\n71654 100000\n99851 100000\n99658 100000\n84677 100000\n3855 5754\n42023 63110\n15283 22823\n54311 81522\n31562 47336\n30539 45796\n50805 76309\n24277 36331\n67833 100000\n95283 100000\n46484 69801\n16364 24444\n22118 33122\n13580 20293\n7475 11153\n768 1134\n3920 5846\n8496 12660\n86939 100000\n1931 2869\n50363 75636\n13257 19817\n69453 100000\n25847 38692\n2191 3262\n84245 100000\n35313 52996\n46407 69684\n94546 100000\n4332 6470\n99378 100000\n87442 100000\n52101 78225\n63968 95965\n99749 100000\n29286 43889\n81921 100000\n58791 88262\n66053 99069\n94564 100000\n98468 100000\n23995 35911\n46641 70039\n12176 18192\n50176 75357\n72017 100000\n6930 10322\n60582 90921\n23411 35042\n22598 33828\n37493 56272\n35680 53544\n19782 29612\n94395 100000\n16850 25171\n19828 29681\n52005 78086\n5778 8610\n73499 100000\n27655 41432\n85815 100000\n92228 100000\n33401 50119\n30750 46115\n18377 27467\n12359 18465\n27700 41500\n91622 100000\n74561 100000\n23583 35290\n9985 14889\n55529 83363\n9227 13759\n39667 59572\n5826 8679\n50247 75456\n22101 33098\n32622 48929\n5592 8331\n46488 69809\n25095 37569\n5504 8206\n12330 18422\n25309 37886\n12054 18006\n9183 13691\n23767 35569\n524 776\n64922 97392\n36165 54293\n92999 100000\n52958 79497\n70565 100000\n66950 100000\n83699 100000\n67680 100000\n21542 32254\n77240 100000\n18820 28137\n94261 100000\n6093 9063\n27835 41702\n377 552\n43350 65130\n6805 10130\n85713 100000\n67862 100000\n43805 65787\n21428 32080\n83445 100000\n34505 51772\n63768 95661\n1638 2448\n25137 37632\n37502 56285\n62190 93322\n78707 100000\n6865 10220\n32937 49416\n35505 53283\n64512 96782\n38689 58094\n80239 100000\n93207 100000\n75964 100000\n14284 21341\n10671 15901\n59084 88695\n29932 44856\n80056 100000\n41039 61636\n28166 42196\n85537 100000\n66705 100000\n27126 40630\n21272 31852\n51894 77924\n68498 100000\n10299 15352\n8878 13234\n95793 100000\n61634 92484\n32354 48518\n27489 41177\n23848 35694\n95918 100000\n13119 19609\n87933 100000\n27634 41402\n44912 67435\n30199 45270\n62820 94266\n60925 91440\n992 1466\n81438 100000\n99290 100000\n66749 100000\n19567 29279\n25275 37839\n36605 54931\n93504 100000\n16977 25357\n38938 58477\n5033 7522\n81813 100000\n60462 90740\n65268 97901\n97503 100000\n6858 10209\n57294 86023\n65556 98333\n11763 17565\n74520 100000\n92521 100000\n88191 100000\n69132 100000\n27338 40950\n21519 32220\n94923 100000\n38503 57806\n47563 71447\n33600 50416\n59565 89412\n8818 13143\n17073 25503\n38517 57828\n40716 61147\n32763 49141\n61507 92300\n4937 7375\n61241 91897\n97736 100000\n83748 100000\n6491 9672\n65372 98059\n71957 100000\n39970 60018\n25 35\n14630 21848\n4222 6302\n75808 100000\n42190 63361\n37060 55618\n23409 35038\n6890 10261\n42148 63300\n4436 6624\n51569 77443\n96751 100000\n29897 44805\n5157 7707\n61031 91594\n26256 39309\n28041 42009\n52150 78298\n83139 100000\n38445 57717\n67892 100000\n2055 3054\n65873 98798\n96026 100000\n34691 52059\n23933 35814\n50114 75270\n77301 100000\n13865 20717\n48845 73363\n15364 22940\n36409 54648\n3443 5117\n11473 17130\n72451 100000\n52289 78503\n49900 74951\n53247 79924\n26597 39826\n49162 73840\n65276 97912\n51690 77623\n2342 3482\n57810 86787\n6581 9799\n50091 75238\n46800 70282\n67204 100000\n33218 49842\n31769 47633\n64322 96487\n99411 100000\n87576 100000\n39039 58629\n69946 100000\n35060 52613\n10013 14930\n99427 100000\n99582 100000\n36818 55263\n63897 95859\n9727 14496\n20712 31015\n2871 4278\n80220 100000\n53242 79917\n58707 88143\n3117 4636\n15208 22706\n6677 9936\n90902 100000\n52381 78637\n68015 100000\n8895 13257\n40478 60781\n53618 80477\n7473 11151\n50594 75999\n10547 15713\n16345 24416\n70286 100000\n80248 100000\n64429 96647\n94013 100000\n10274 15313\n45715 68643\n62618 93966\n99211 100000\n62371 93596\n15998 23901\n93491 100000\n18285 27335\n36012 54055\n19026 28446\n95008 100000\n70533 100000\n99587 100000\n83223 100000\n79970 100000\n34495 51756\n25989 38902\n25251 37803\n49077 73716\n27859 41738\n27749 41577\n30660 45983\n81857 100000\n13475 20139\n20228 30279\n21197 31736\n43098 64738\n52584 78935\n31693 47527\n49131 73796\n51691 77625\n38636 58012\n43123 64779\n93043 100000\n85280 100000\n51083 76717\n92528 100000\n82298 100000\n81569 100000\n97796 100000\n70745 100000\n41800 62781\n63035 94574\n53150 79771\n75353 100000\n64883 97335\n86882 100000\n46159 69306\n69127 100000\n67335 100000\n75823 100000\n53216 79873\n96821 100000\n7596 11335\n88701 100000\n77521 100000\n98506 100000\n17192 25692\n47045 70651\n11784 17598\n52334 78569\n61600 92432\n53881 80878\n14562 21749\n99977 100000\n72193 100000\n72468 100000\n6313 9395\n12266 18323\n94987 100000\n94796 100000\n44947 67489\n70343 100000\n51340 77109\n12007 17934\n57322 86066\n1383 2061\n26294 39364\n60848 91321\n15065 22489\n20268 30345\n19243 28782\n61774 92692\n44105 66238\n12470 18633\n30852 46268\n52777 79223\n98058 100000\n85595 100000\n35978 54005\n73211 100000\n80155 100000\n55172 82808\n40408 60668\n13655 20405\n92517 100000\n34726 52117\n44506 66839\n79174 100000\n37866 56822\n83873 100000\n85077 100000\n93417 100000\n87826 100000\n19036 28461\n1442 2149\n84443 100000\n39675 59584\n38228 57385\n84087 100000\n88463 100000\n63139 94727\n41256 61965\n43283 65028\n14164 21167\n50516 75880\n9538 14214\n15465 23093\n8796 13105\n88124 100000\n81640 100000\n88474 100000\n33773 50681\n88800 100000\n22273 33357\n2670 3975\n40141 60267\n42839 64344\n38066 57126\n50704 76158\n13766 20567\n89973 100000\n80162 100000\n26516 39699\n66724 100000\n40842 61334\n4592 6862\n64002 96014\n89412 100000\n95353 100000\n86839 100000\n57760 86704\n55760 83721\n29762 44606\n87181 100000\n62484 93762\n89067 100000\n45907 68928\n20249 30314\n61806 92742\n35816 53759\n20910 31315\n54273 81464\n95539 100000\n73023 100000\n6452 9610\n57403 86184\n61576 92399\n40969 61523\n41044 61644\n13062 19519\n90645 100000\n94845 100000\n18722 27983\n67104 100000\n14989 22369\n42641 64051\n20223 30271\n6636 9876\n28091 42081\n18698 27945\n80752 100000\n11501 17171\n80539 100000\n36274 54451\n62153 93267\n55506 83328\n61187 91823\n6262 9321\n36869 55334\n49971 75050\n91801 100000\n82761 100000\n76609 100000\n75273 100000\n46366 69625\n2905 4330\n58475 87780\n26638 39889\n75682 100000\n8916 13290\n10384 15473\n52203 78379\n65397 98098\n76371 100000\n15801 23612\n21476 32159\n4008 5977\n32674 49008\n4599 6872\n69514 100000\n40340 60563\n95718 100000\n21392 32023\n60780 91220\n62918 94409\n61704 92588\n73718 100000\n4022 5999\n48185 72380\n66984 100000\n89660 100000\n27633 41401\n20978 31416\n72664 100000\n52351 78596\n4844 7231\n31819 47707\n40684 61099\n74442 100000\n64470 96715\n28606 42875\n46068 69166\n24086 36042\n97818 100000\n35814 53756\n80202 100000\n25530 38219\n44897 67412\n76216 100000\n49401 74202\n42459 63782\n77174 100000\n96435 100000\n7657 11422\n30824 46226\n839 1238\n38779 58229\n3233 4809\n30623 45925\n34360 51543\n47437 71248\n71305 100000\n32669 49001\n97748 100000\n65861 98779\n28986 43446\n78262 100000\n84655 100000\n22915 34286\n36660 55019\n7702 11488\n4367 6519\n66463 99672\n47165 70835\n49266 73995\n27698 41497\n4470 6672\n47888 71935\n58275 87484\n8604 12821\n26097 39066\n26252 39303\n13549 20244\n15021 22419\n88469 100000\n4869 7272\n62281 93465\n64608 96934\n76572 100000\n46524 69863\n88344 100000\n57514 86346\n72235 100000\n35830 53782\n83915 100000\n95370 100000\n62789 94219\n94959 100000\n26064 39014\n31349 47009\n6766 10070\n34679 52041\n97618 100000\n79628 100000\n74654 100000\n44812 67291\n67757 100000\n9735 14509\n82195 100000\n20890 31285\n98420 100000\n4747 7087\n6111 9089\n58517 87850\n67780 100000\n97459 100000\n64243 96375\n50530 75903\n20610 30858\n66592 99868\n37158 55764\n36075 54158\n91722 100000\n52027 78119\n56158 84310\n54050 81129\n92848 100000\n22594 33824\n98196 100000\n54472 81761\n28293 42387\n88193 100000\n82076 100000\n35339 53036\n35079 52641\n73203 100000\n77903 100000\n1701 2538\n54881 82373\n22470 33648\n13040 19487\n2360 3509\n19597 29327\n79742 100000\n97027 100000\n63591 95393\n74 106\n76405 100000\n80760 100000\n46039 69121\n76625 100000\n54604 81962\n80743 100000\n67332 100000\n78067 100000\n36163 54289\n21375 31996\n47799 71806\n15368 22948\n89097 100000\n54935 82455\n30292 45418\n77202 100000\n22185 33221\n9720 14484\n32910 49376\n67467 100000\n24900 37276\n76076 100000\n62669 94042\n17576 26268\n63028 94564\n8108 12088\n50231 75434\n87809 100000\n44421 66714\n6470 9639\n61093 91685\n79682 100000\n14050 20990\n642 943\n60066 90157\n58157 87307\n19158 28653\n91138 100000\n21114 31612\n29597 44351\n7148 10655\n83806 100000\n83721 100000\n26015 38945\n3060 4551\n43124 64781\n93225 100000\n88991 100000\n97195 100000\n83162 100000\n48042 72163\n34015 51033\n85192 100000\n94059 100000\n69766 100000\n62859 94325\n18545 27717\n58088 87205\n74802 100000\n92612 100000\n41273 61990\n51487 77328\n97603 100000\n93347 100000\n25524 38210\n92294 100000\n34531 51812\n3591 5346\n10108 15074\n80954 100000\n67880 100000\n4947 7390\n64665 97014\n61207 91849\n47518 71377\n41766 62729\n24253 36294\n16370 24454\n31557 47327\n9595 14292\n32266 48383\n15468 23097\n22291 33382\n38700 58111\n38240 57404\n64174 96267\n19527 29220\n34617 51943\n55846 83856\n15189 22678\n52578 78926\n5080 7597\n46216 69393\n85069 100000\n24951 37356\n19678 29453\n36413 54652\n82070 100000\n57085 85706\n68074 100000\n88832 100000\n57825 86807\n65813 98709\n89429 100000\n4293 6409\n52826 79296\n51249 76969\n79309 100000\n49512 74368\n60552 90873\n30308 45442\n10813 16133\n22382 33518\n86777 100000\n2837 4228\n91905 100000\n17112 25561\n11017 16445\n80766 100000\n24558 36751\n83801 100000\n8047 11998\n68181 100000\n2679 3989\n25133 37626\n52511 78825\n51641 77553\n82851 100000\n59905 89915\n12142 18142\n81737 100000\n1289 1917\n9633 14348\n49366 74150\n93194 100000\n55602 83481\n2221 3304\n15864 23705\n17131 25593\n9462 14106\n25537 38230\n61759 92669\n97825 100000\n91668 100000\n16555 24730\n89402 100000\n23394 35017\n85474 100000\n7428 11085\n49993 75086\n51111 76758\n7382 11017\n98504 100000\n96575 100000\n21320 31917\n45991 69054\n44441 66746\n94599 100000\n91041 100000\n49573 74458\n23099 34561\n97211 100000\n80173 100000\n61118 91724\n52202 78378\n15697 23456\n77005 100000\n68664 100000\n17898 26738\n82501 100000\n74920 100000\n99557 100000\n56965 85528\n29869 44761\n91100 100000\n34506 51773\n31131 46680\n89254 100000\n89182 100000\n89630 100000\n9487 14140\n37140 55738\n16796 25093\n75641 100000\n73341 100000\n20284 30373\n12789 19122\n31809 47691\n73331 100000\n56497 84823\n85138 100000\n8292 12354\n60504 90799\n41152 61805\n91424 100000\n55298 83007\n21820 32667\n99321 100000\n2355 3501\n46684 70107\n93916 100000\n61397 92127\n99056 100000\n22158 33181\n74648 100000\n80859 100000\n29234 43815\n71217 100000\n83290 100000\n6348 9452\n1933 2873\n54558 81898\n2347 3490\n34837 52281\n28274 42360\n10550 15717\n71786 100000\n30733 46088\n39978 60031\n73893 100000\n79051 100000\n2912 4341\n64812 97228\n16947 25314\n90665 100000\n32406 48602\n62376 93603\n50703 76157\n86310 100000\n8170 12182\n62022 93068\n84997 100000\n84882 100000\n78373 100000\n66140 99185\n58717 88160\n76198 100000\n13639 20382\n93467 100000\n52142 78284\n35949 53960\n3671 5473\n83474 100000\n30470 45690\n90755 100000\n96239 100000\n19338 28931\n49911 74963\n57599 86473\n17231 25746\n91855 100000\n11918 17801\n14666 21903\n47738 71718\n19483 29150\n87363 100000\n41221 61913\n25078 37544\n39237 58919\n89391 100000\n14775 22055\n36208 54355\n3140 4671\n49845 74872\n16004 23912\n93620 100000\n71659 100000\n15753 23538\n77045 100000\n32776 49162\n55291 82996\n166 235\n88710 100000\n68104 100000\n87121 100000\n3095 4604\n48909 73460\n1006 1485\n88045 100000\n20503 30700\n62322 93528\n8758 13051\n39442 59239\n42856 64368\n37343 56032\n21569 32296\n12976 19392\n31079 46602\n44717 67149\n43845 65844\n36695 55075\n85592 100000\n7025 10463\n82374 100000\n38484 57777\n53345 80070\n30274 45386\n57555 86409\n77707 100000\n30367 45529\n24049 35991\n12439 18586\n25996 38912\n2665 3969\n59108 88730\n94789 100000\n92289 100000\n50852 76376\n7493 11181\n67238 100000\n8580 12785\n32270 48389\n21324 31922\n72457 100000\n31841 47737\n99778 100000\n66878 100000\n86793 100000\n9773 14573\n77349 100000\n3752 5596\n58480 87789\n39122 58752\n86 120\n93574 100000\n94704 100000\n52333 78568\n28710 43024\n87534 100000\n4360 6508\n49207 73908\n36642 54991\n70472 100000\n86637 100000\n25173 37686\n47258 70982\n99180 100000\n66240 99339\n22217 33269\n76495 100000\n18578 27766\n38726 58149\n7975 11888\n42055 63155\n11228 16754\n10526 15681\n31146 46700\n7309 10902\n4319 6449\n1801 2681\n65887 98820\n65736 98594\n57028 85623\n3364 4999\n54396 81648\n4657 6953\n54233 81403\n93981 100000\n13796 20611\n78967 100000\n40171 60309\n50607 76020\n95728 100000\n65110 97673\n16013 23924\n2758 4105\n97673 100000\n51879 77902\n10124 15096\n63445 95169\n80458 100000\n50214 75412\n12925 19312\n68876 100000\n71688 100000\n73558 100000\n89567 100000\n42144 63293\n50787 76281\n79009 100000\n88422 100000\n57329 86076\n76590 100000\n67588 100000\n94899 100000\n55835 83842\n92620 100000\n11899 17776\n80706 100000\n6423 9560\n97604 100000\n43577 65450\n3976 5933\n23131 34611\n76438 100000\n64036 96066\n40664 61068\n57240 85941\n12060 18016\n41819 62812\n8350 12441\n67686 100000\n69370 100000\n10321 15389\n95172 100000\n31533 47290\n92466 100000\n20681 30966\n59574 89428\n74727 100000\n58784 88251\n51242 76959\n56369 84636\n3646 5434\n93609 100000\n72119 100000\n82430 100000\n72584 100000\n77614 100000\n62626 93980\n88288 100000\n71633 100000\n99273 100000\n47369 71152\n10430 15541\n39178 58839\n89025 100000\n18278 27325\n6254 9307\n51709 77651\n3486 5185\n41330 62079\n89835 100000\n42252 63466\n52046 78145\n86665 100000\n40935 61473\n55139 82760\n98548 100000\n44400 66680\n90111 100000\n23852 35699\n89215 100000\n45294 68011\n40527 60860\n82005 100000\n82530 100000\n41284 62005\n21788 32618\n74731 100000\n92827 100000\n47378 71164\n53941 80968\n65234 97853\n55147 82773\n14435 21559\n39213 58887\n77753 100000\n16772 25059\n61642 92497\n84679 100000\n13053 19507\n7153 10662\n99197 100000\n94611 100000\n60756 91181\n8570 12770\n31559 47331\n60 86\n42840 64345\n20912 31317\n81526 100000\n59566 89414\n32339 48498\n45296 68014\n69701 100000\n41341 62093\n69731 100000\n26609 39841\n13805 20624\n2889 4307\n81236 100000\n49838 74859\n46587 69959\n4511 6737\n43415 65226\n58770 88231\n87073 100000\n53995 81049\n70777 100000\n38369 57605\n3656 5448\n7402 11048\n69171 100000\n73564 100000\n35314 52997\n38719 58138\n54079 81178\n76302 100000\n15709 23474\n3473 5165\n83676 100000\n28809 43175\n88123 100000\n53380 80124\n7543 11254\n50421 75727\n39659 59560\n51829 77831\n81188 100000\n49298 74045\n68966 100000\n31450 47165\n337 494\n63062 94610\n66284 99408\n4995 7466\n94055 100000\n33397 50113\n87700 100000\n56565 84926\n20481 30666\n36976 55490\n89016 100000\n36425 54670\n41295 62023\n6717 9991\n86192 100000\n67360 100000\n32049 48059\n33545 50333\n7250 10810\n93117 100000\n61201 91840\n43163 64843\n77427 100000\n45558 68395\n60763 91192\n11005 16425\n40704 61130\n84742 100000\n20688 30978\n452 660\n73805 100000\n68070 100000\n23474 35138\n5953 8867\n21960 32881\n6652 9899\n7496 11184\n17106 25552\n80700 100000\n77668 100000\n49169 73849\n13927 20807\n76886 100000\n57950 86993\n85359 100000\n14055 20997\n10879 16231\n68101 100000\n59340 89078\n9541 14218\n73963 100000\n93348 100000\n81073 100000\n29161 43703\n44694 67114\n36243 54406\n5693 8490\n54489 81788\n38824 58305\n86399 100000\n18416 27527\n92643 100000\n18880 28226\n52843 79321\n86748 100000\n43175 64863\n93277 100000\n8708 12982\n9355 13954\n71694 100000\n85915 100000\n73287 100000\n48958 73533\n28669 42967\n46199 69367\n61171 91802\n73545 100000\n12745 19060\n81368 100000\n41234 61932\n9330 13917\n75528 100000\n25446 38097\n95349 100000\n50974 76554\n27831 41697\n87708 100000\n83881 100000\n61937 92940\n15582 23281\n18291 27343\n50441 75759\n95773 100000\n30279 45395\n33333 50013\n89428 100000\n95245 100000\n77401 100000\n76692 100000\n63922 95898\n82280 100000\n14165 21169\n78599 100000\n5432 8110\n50198 75388\n76911 100000\n64937 97412\n39239 58922\n35160 52771\n51519 77372\n66643 99944\n87873 100000\n14328 21406\n67072 100000\n7564 11289\n39473 59289\n34870 52326\n42505 63848\n36159 54282\n68649 100000\n87728 100000\n53730 80642\n25891 38752\n70761 100000\n68064 100000\n37915 56895\n16473 24608\n53418 80176\n47443 71257\n53159 79784\n56244 84437\n42102 63228\n82743 100000\n95012 100000\n75051 100000\n18014 26916\n81157 100000\n73434 100000\n99235 100000\n29737 44567\n86281 100000\n26305 39382\n91448 100000\n41827 62822\n56478 84796\n67191 100000\n45546 68375\n14883 22213\n87266 100000\n34786 52208\n34207 51322\n2492 3703\n4218 6296\n68252 100000\n24487 36645\n80276 100000\n95795 100000\n39592 59464\n79867 100000\n95040 100000\n76492 100000\n27264 40835\n80571 100000\n53238 79910\n70940 100000\n8344 12433\n48955 73528\n63549 95330\n86297 100000\n23487 35156\n67739 100000\n62846 94303\n9983 14887\n77294 100000\n52567 78910\n63588 95389\n23839 35680\n81510 100000\n51749 77706\n42736 64186\n51824 77824\n95251 100000\n1512 2259\n8527 12707\n93693 100000\n79842 100000\n57857 86855\n30807 46201\n60364 90591\n1689 2519\n93557 100000\n59175 88830\n88382 100000\n37936 56929\n53753 80678\n36123 54230\n18658 27886\n60285 90475\n23553 35248\n14859 22178\n11919 17803\n9003 13422\n12915 19298\n18193 27193\n25700 38478\n68784 100000\n23680 35435\n66573 99837\n88890 100000\n14970 22341\n41918 62958\n42699 64131\n71011 100000\n42819 64314\n29038 43521\n8182 12199\n73868 100000\n78390 100000\n75972 100000\n28957 43400\n72989 100000\n69688 100000\n21927 32832\n74195 100000\n55192 82839\n78014 100000\n22375 33508\n85194 100000\n54772 82214\n91739 100000\n62127 93228\n13100 19583\n89618 100000\n2442 3630\n83926 100000\n39695 59611\n70497 100000\n43400 65203\n16190 24186\n81930 100000\n97637 100000\n58917 88454\n90968 100000\n10971 16376\n87694 100000\n19674 29446\n73093 100000\n74804 100000\n26670 39934\n3229 4803\n74661 100000\n8999 13416\n11623 17351\n53025 79594\n97157 100000\n71029 100000\n74999 100000\n30061 45053\n25955 38845\n78433 100000\n21787 32617\n88117 100000\n13528 20215\n39869 59869\n38785 58240\n91328 100000\n9858 14696\n2239 3333\n69465 100000\n5874 8752\n43097 64736\n84716 100000\n24116 36084\n50128 75291\n93851 100000\n41360 62121\n85705 100000\n69031 100000\n11101 16570\n27208 40748\n65458 98184\n2795 4163\n75130 100000\n7269 10840\n44045 66147\n22211 33261\n34943 52433\n27271 40844\n48302 72550\n93932 100000\n62236 93397\n86961 100000\n70651 100000\n37501 56283\n99646 100000\n77473 100000\n81869 100000\n56764 85224\n62922 94414\n27719 41531\n3144 4677\n7915 11796\n42885 64413\n89555 100000\n22112 33113\n89574 100000\n71781 100000\n8101 12077\n95975 100000\n1895 2818\n24128 36100\n81730 100000\n97751 100000\n4497 6712\n98788 100000\n46391 69659\n63516 95282\n23652 35394\n42007 63087\n42207 63390\n29590 44341\n74560 100000\n96507 100000\n29985 44937\n23259 34808\n42842 64348\n46037 69119\n96233 100000\n2321 3454\n64654 97001\n71013 100000\n38776 58225\n2773 4133\n85916 100000\n46623 70013\n54360 81593\n20850 31222\n61418 92157\n1388 2068\n94692 100000\n85573 100000\n57963 87013\n33067 49612\n5353 7995\n55913 83952\n98939 100000\n35849 53809\n44229 66420\n64874 97322\n5208 7783\n97744 100000\n96168 100000\n72179 100000\n81882 100000\n21024 31481\n4460 6659\n56356 84616\n95955 100000\n34240 51367\n15502 23147\n19912 29803\n18118 27079\n42114 63247\n86686 100000\n34644 51986\n53918 80932\n46073 69174\n49516 74374\n45125 67757\n76210 100000\n82324 100000\n46233 69419\n81061 100000\n71683 100000\n82560 100000\n32834 49252\n48029 72145\n49634 74551\n57667 86572\n10371 15457\n90615 100000\n92472 100000\n45067 67673\n30218 45301\n59803 89763\n71094 100000\n97487 100000\n26098 39067\n47772 71771\n38351 57577\n15293 22838\n84119 100000\n52441 78723\n24199 36216\n71508 100000\n82853 100000\n93533 100000\n25383 38001\n41840 62841\n34289 51440\n55476 83282\n47667 71610\n22238 33301\n97931 100000\n25048 37499\n21973 32900\n11257 16799\n83863 100000\n74699 100000\n5289 7904\n43527 65377\n12350 18452\n86576 100000\n32631 48941\n52365 78613\n76948 100000\n23745 35538\n54433 81703\n65706 98546\n26337 39434\n87349 100000\n8559 12751\n10785 16090\n22757 34065\n24768 37074\n58755 88212\n60017 90083\n44965 67517\n40994 61564\n22646 33898\n29645 44427\n45007 67579\n16433 24551\n52050 78150\n89463 100000\n35178 52795\n65778 98655\n19487 29156\n28984 43443\n98928 100000\n2728 4064\n6407 9537\n42318 63571\n8546 12732\n30801 46192\n2659 3961\n28039 42005\n94363 100000\n66288 99415\n95670 100000\n49484 74325\n22307 33405\n21583 32315\n22559 33772\n93576 100000\n74904 100000\n60629 90990\n78408 100000\n85101 100000\n26766 40080\n75216 100000\n40736 61178\n28303 42401\n56725 85167\n97130 100000\n47490 71335\n62734 94141\n79078 100000\n80559 100000\n37693 56568\n29098 43609\n59196 88864\n48401 72688\n12932 19322\n89631 100000\n63036 94576\n76675 100000\n49855 74886\n17268 25800\n52957 79496\n89311 100000\n71449 100000\n71952 100000\n14910 22251\n10750 16035\n86345 100000\n59911 89926\n44913 67436\n32845 49271\n70689 100000\n67400 100000\n20554 30776\n26480 39650\n24575 36777\n57858 86857\n17167 25653\n57974 87030\n4165 6218\n11169 16668\n62294 93486\n19743 29553\n25694 38468\n48620 73018\n39798 59769\n33264 49903\n86534 100000\n46385 69650\n84333 100000\n25941 38825\n36368 54588\n67700 100000\n28371 42506\n95515 100000\n33720 50597\n58357 87605\n2082 3095\n23585 35293\n60077 90174\n84821 100000\n54795 82248\n10931 16310\n73714 100000\n9694 14445\n9631 14345\n86612 100000\n42177 63341\n5170 7726\n19437 29078\n94201 100000\n21765 32588\n6121 9104\n96555 100000\n46704 70137\n80304 100000\n29618 44385\n32091 48123\n18252 27282\n49034 73651\n33507 50274\n88097 100000\n81778 100000\n44141 66290\n73782 100000\n59054 88657\n94861 100000\n38743 58173\n39657 59556\n21524 32227\n31155 46715\n88035 100000\n85290 100000\n95336 100000\n56520 84857\n56876 85400\n91170 100000\n88318 100000\n55932 83981\n64881 97332\n82398 100000\n89908 100000\n10532 15691\n14479 21621\n4142 6181\n6762 10063\n48736 73199\n27986 41930\n38536 57861\n60661 91036\n71044 100000\n10056 14995\n31316 46961\n44171 66335\n55077 82668\n50552 75938\n49393 74192\n95759 100000\n53686 80578\n19250 28793\n70842 100000\n69891 100000\n26008 38936\n99960 100000\n46188 69348\n30980 46460\n30376 45543\n58359 87609\n93840 100000\n75401 100000\n75027 100000\n4076 6076\n44575 66933\n54274 81466\n86074 100000\n63377 95073\n22995 34409\n36088 54177\n72414 100000\n69670 100000\n63008 94536\n39438 59232\n3035 4514\n11111 16582\n20517 30723\n71542 100000\n98493 100000\n57348 86103\n65404 98109\n94044 100000\n66086 99113\n39060 58664\n26721 40010\n21622 32376\n22511 33704\n32655 48978\n25817 38646\n36536 54834\n16569 24752\n47915 71976\n78724 100000\n75152 100000\n27819 41677\n80651 100000\n99640 100000\n65844 98752\n82351 100000\n87270 100000\n75454 100000\n91907 100000\n59738 89666\n89431 100000\n16802 25103\n70758 100000\n69757 100000\n562 825\n78058 100000\n23573 35278\n44672 67078\n2368 3520\n37580 56401\n98103 100000\n78726 100000\n58082 87196\n65645 98453\n90203 100000\n98268 100000\n79129 100000\n5997 8930\n39250 58937\n88175 100000\n75474 100000\n21262 31834\n5625 8383\n74861 100000\n64990 97497\n26032 38967\n81002 100000\n57759 86703\n72643 100000\n58087 87203\n78070 100000\n99753 100000\n72918 100000\n15264 22791\n75899 100000\n19684 29463\n60897 91400\n17021 25426\n69906 100000\n74291 100000\n28949 43387\n24353 36445\n57280 86000\n70780 100000\n29156 43693\n86207 100000\n72488 100000\n81215 100000\n71571 100000\n39113 58736\n12451 18604\n71524 100000\n82659 100000\n3704 5522\n2135 3182\n61976 92996\n93312 100000\n83465 100000\n50504 75857\n54638 82013\n6398 9524\n7830 11673\n78411 100000\n13779 20586\n96485 100000\n82965 100000\n10707 15963\n22436 33601\n85957 100000\n83133 100000\n74308 100000\n4779 7134\n1080 1599\n174 248\n64752 97141\n76619 100000\n16768 25053\n6149 9151\n44298 66521\n8200 12227\n96528 100000\n490 725\n68971 100000\n74458 100000\n39918 59942\n49114 73770\n49770 74756\n83929 100000\n38429 57694\n30865 46288\n68186 100000\n37513 56301\n34192 51299\n23073 34518\n50785 76279\n65085 97637\n72070 100000\n29105 43617\n87241 100000\n32808 49211\n620 909\n93264 100000\n81756 100000\n39677 59588\n2627 3915\n94703 100000\n4253 6346\n99430 100000\n90070 100000\n42289 63520\n34523 51800\n58182 87342\n81069 100000\n45995 69059\n43699 65632\n79597 100000\n25197 37724\n95893 100000\n53636 80501\n71953 100000\n62075 93148\n66821 100000\n41644 62546\n21968 32892\n35013 52541\n4018 5993\n97407 100000\n85054 100000\n61813 92752\n64272 96420\n70151 100000\n27907 41815\n21690 32478\n44959 67506\n24395 36508\n45911 68933\n74553 100000\n53467 80250\n49618 74528\n63129 94710\n42533 63886\n32019 48013\n1117 1655\n11897 17772\n3037 4518\n49231 73947\n68696 100000\n92993 100000\n80502 100000\n41271 61988\n72938 100000\n33436 50170\n11416 17041\n70553 100000\n10457 15580\n14950 22312\n7939 11832\n31717 47560\n20585 30823\n92066 100000\n64560 96860\n35440 53188\n2606 3884\n33675 50533\n45110 67734\n4972 7429\n26876 40248\n48387 72667\n57212 85902\n23613 35333\n45174 67832\n17787 26568\n20264 30338\n13983 20893\n92911 100000\n72023 100000\n53099 79691\n79004 100000\n81283 100000\n71041 100000\n20966 31398\n64336 96508\n53575 80408\n57700 86621\n35872 53844\n84493 100000\n11434 17070\n99334 100000\n34435 51662\n64669 97022\n81063 100000\n28206 42259\n32303 48441\n97289 100000\n26756 40064\n76804 100000\n78241 100000\n63417 95132\n20558 30782\n93083 100000\n53944 80971\n42725 64171\n53255 79935\n95239 100000\n75669 100000\n17418 26031\n70610 100000\n71519 100000\n4958 7407\n43499 65337\n33987 50991\n53314 80022\n46112 69236\n48429 72729\n25268 37830\n34353 51530\n15790 23594\n87540 100000\n10434 15546\n61977 92997\n8057 12012\n15385 22976\n68053 100000\n11964 17868\n23944 35831\n73445 100000\n47906 71963\n21518 32218\n19811 29654\n68510 100000\n95750 100000\n18205 27211\n48535 72890\n56060 84171\n77716 100000\n97563 100000\n68002 100000\n69176 100000\n24975 37395\n19298 28869\n73320 100000\n78646 100000\n55371 83121\n72899 100000\n74821 100000\n64980 97480\n26835 40186\n1225 1824\n39895 59909\n54405 81661\n971 1438\n34858 52310\n63619 95435\n45022 67604\n26879 40252\n92363 100000\n39128 58762\n57115 85754\n88857 100000\n28900 43311\n42381 63667\n53937 80961\n81260 100000\n11524 17206\n81922 100000\n56542 84891\n69967 100000\n71019 100000\n40534 60870\n24383 36491\n75824 100000\n69018 100000\n39195 58863\n99597 100000\n77512 100000\n35757 53667\n59223 88905\n81975 100000\n40954 61501\n45320 68049\n52976 79524\n45148 67790\n52574 78920\n85489 100000\n37648 56500\n5633 8396\n72843 100000\n36493 54766\n20028 29981\n42363 63642\n30828 46233\n703 1034\n26455 39609\n14348 21432\n64717 97092\n73081 100000\n18486 27631\n265 384\n26282 39346\n18033 26945\n6978 10392\n79303 100000\n1367 2039\n3836 5727\n75519 100000\n51221 76928\n6015 8958\n2309 3438\n14397 21505\n92947 100000\n85217 100000\n2160 3219\n43273 65013\n48063 72193\n91957 100000\n3170 4717\n69841 100000\n37432 56178\n1819 2706\n29925 44844\n58999 88575\n11603 17322\n85963 100000\n98335 100000\n7854 11706\n2882 4296\n75837 100000\n84006 100000\n58329 87566\n69938 100000\n53557 80379\n55290 82994\n20346 30473\n45837 68826\n80974 100000\n51070 76694\n72634 100000\n19147 28636\n5384 8040\n10521 15674\n79650 100000\n9180 13688\n84038 100000\n85410 100000\n56510 84840\n69267 100000\n7626 11379\n62170 93294\n76021 100000\n90845 100000\n80531 100000\n40151 60280\n96100 100000\n71619 100000\n79423 100000\n99343 100000\n25756 38557\n21640 32403\n91174 100000\n78823 100000\n99153 100000\n71124 100000\n15058 22479\n43771 65736\n86814 100000\n21369 31987\n89347 100000\n95594 100000\n48032 72150\n78466 100000\n92775 100000\n50576 75971\n86889 100000\n8161 12170\n94425 100000\n97908 100000\n28090 42080\n95672 100000\n15243 22761\n5001 7475\n23406 35033\n25198 37726\n45569 68415\n60594 90939\n78778 100000\n95921 100000\n87427 100000\n53165 79792\n83678 100000\n45311 68035\n19142 28628\n97416 100000\n79390 100000\n31624 47427\n85507 100000\n54841 82314\n82257 100000\n5141 7688\n2380 3538\n45238 67926\n67124 100000\n62933 94428\n3418 5079\n7987 11906\n29150 43684\n81554 100000\n90824 100000\n96377 100000\n6723 10001\n94054 100000\n72641 100000\n70512 100000\n61176 91808\n26734 40031\n16472 24606\n61103 91698\n96982 100000\n13693 20462\n35288 52958\n57414 86201\n68310 100000\n50022 75132\n59285 88999\n69901 100000\n48565 72934\n77695 100000\n89405 100000\n10204 15211\n20743 31064\n71231 100000\n54898 82399\n65680 98505\n47685 71637\n48087 72232\n59274 88980\n14517 21677\n77677 100000\n98181 100000\n2729 4065\n27123 40625\n31641 47455\n96072 100000\n32741 49108\n17019 25423\n28392 42539\n42971 64549\n55007 82563\n99720 100000\n61312 92004\n60322 90529\n47783 71786\n89992 100000\n88540 100000\n83028 100000\n49008 73613\n70441 100000\n49882 74928\n65241 97861\n68782 100000\n57940 86981\n33746 50636\n98843 100000\n56236 84424\n85564 100000\n3899 5815\n77110 100000\n39394 59165\n64747 97134\n63671 95514\n52673 79072\n34191 51297\n19291 28859\n44515 66851\n4783 7140\n14304 21369\n38709 58125\n25321 37906\n23713 35488\n7000 10426\n22615 33855\n94769 100000\n59387 89149\n30721 46070\n22709 33993\n58556 87910\n45553 68388\n46878 70398\n67730 100000\n84607 100000\n51532 77391\n90508 100000\n22358 33483\n90349 100000\n98933 100000\n99548 100000\n1583 2371\n32248 48356\n69714 100000\n70630 100000\n55442 83229\n6356 9462\n90946 100000\n23189 34698\n63880 95835\n50011 75115\n71721 100000\n48593 72974\n23055 34493\n31253 46863\n50171 75351\n4825 7203\n50710 76166\n94717 100000\n72361 100000\n39393 59163\n19253 28797\n14315 21386\n56953 85513\n95715 100000\n11157 16650\n25975 38878\n89275 100000\n95933 100000\n44982 67540\n51543 77408\n93051 100000\n31902 47831\n12259 18313\n27245 40805\n18364 27449\n79683 100000\n77699 100000\n74412 100000\n70458 100000\n37514 56302\n36065 54142\n92854 100000\n92926 100000\n37279 55945\n25637 38378\n31035 46535\n42835 64339\n47897 71948\n68140 100000\n54512 81823\n27450 41118\n11304 16871\n89440 100000\n88058 100000\n90783 100000\n27595 41345\n73383 100000\n38376 57617\n53404 80155\n4173 6231\n43078 64708\n69585 100000\n82164 100000\n14957 22323\n6432 9575\n66548 99798\n19609 29344\n44560 66913\n85822 100000\n21264 31837\n37203 55831\n39785 59750\n82037 100000\n67855 100000\n57672 86578\n19866 29731\n27298 40886\n8618 12842\n70719 100000\n19988 29918\n67006 100000\n5721 8528\n68802 100000\n70422 100000\n3933 5867\n14255 21299\n69032 100000\n14365 21456\n62586 93915\n98087 100000\n16885 25226\n22251 33320\n66961 100000\n50951 76517\n21266 31841\n70854 100000\n70574 100000\n12394 18523\n54787 82234\n43910 65946\n52003 78083\n24986 37411\n46286 69503\n11425 17054\n49430 74246\n96711 100000\n86871 100000\n83331 100000\n16564 24745\n76893 100000\n65808 98700\n47331 71088\n97973 100000\n26186 39198\n64535 96820\n54514 81827\n44907 67428\n16350 24424\n41198 61878\n96350 100000\n21817 32664\n8374 12481\n29463 44150\n23847 35692\n42179 63345\n43341 65116\n41447 62249\n57589 86460\n70603 100000\n79074 100000\n89999 100000\n40337 60558\n1153 1714\n83216 100000\n87242 100000\n99801 100000\n7254 10818\n78596 100000\n32459 48684\n79736 100000\n86390 100000\n47132 70786\n41761 62721\n9325 13911\n16630 24840\n48155 72331\n75985 100000\n14854 22170\n2652 3952\n55140 82761\n97813 100000\n35745 53650\n98670 100000\n52879 79376\n32956 49442\n626 919\n16726 24988\n63615 95429\n91000 100000\n284 414\n8741 13025\n36280 54457\n39726 59659\n93408 100000\n81683 100000\n73768 100000\n7978 11891\n64262 96403\n33012 49527\n51955 78013\n23759 35557\n47764 71759\n50616 76034\n2857 4257\n38315 57522\n27253 40819\n19712 29508\n68025 100000\n30118 45141\n23681 35437\n78472 100000\n1556 2326\n408 596\n83715 100000\n25484 38153\n70655 100000\n69997 100000\n65180 97775\n17869 26692\n56487 84807\n96449 100000\n73312 100000\n29831 44708\n84046 100000\n82376 100000\n89685 100000\n30426 45624\n96800 100000\n64870 97316\n29544 44270\n62875 94345\n85754 100000\n97380 100000\n78921 100000\n6949 10349\n42569 63943\n49417 74226\n97863 100000\n54876 82366\n88775 100000\n28998 43463\n14522 21686\n51826 77827\n79160 100000\n54541 81868\n50148 75319\n66670 99987\n64157 96245\n20071 30046\n99562 100000\n91131 100000\n53223 79884\n56092 84219\n54804 82262\n20521 30728\n55161 82794\n88119 100000\n87488 100000\n27240 40797\n88951 100000\n33460 50207\n91633 100000\n4025 6004\n18672 27905\n25209 37740\n93722 100000\n9282 13848\n86219 100000\n4204 6277\n35199 52826\n48508 72850\n41 59\n18608 27810\n22329 33439\n78900 100000\n2337 3476\n29999 44960\n54567 81910\n73471 100000\n96479 100000\n50057 75184\n57981 87043\n7986 11904\n41817 62808\n59682 89585\n23601 35316\n5041 7534\n13623 20359\n128 179\n78794 100000\n67810 100000\n15370 22951\n91610 100000\n1522 2274\n26380 39497\n81657 100000\n12549 18752\n24763 37066\n16668 24899\n98983 100000\n51759 77721\n61908 92899\n79802 100000\n75217 100000\n98570 100000\n1704 2542\n14819 22122\n63538 95315\n86243 100000\n59724 89645\n99244 100000\n22060 33033\n91687 100000\n52866 79355\n82961 100000\n20342 30467\n58763 88223\n9859 14698\n94810 100000\n91281 100000\n4413 6592\n19209 28730\n37345 56035\n22864 34213\n69147 100000\n80415 100000\n99937 100000\n84115 100000\n18868 28208\n12118 18106\n70096 100000\n57102 85736\n27576 41316\n97437 100000\n437 636\n26326 39417\n47527 71390\n95429 100000\n79450 100000\n83993 100000\n68616 100000\n62775 94198\n63369 95060\n96112 100000\n90936 100000\n6138 9133\n21422 32071\n78420 100000\n63590 95392\n74734 100000\n56169 84325\n36281 54459\n65635 98438\n59279 88988\n87608 100000\n69016 100000\n63839 95773\n1792 2668\n18533 27700\n86042 100000\n52504 78814\n21159 31680\n70934 100000\n59479 89288\n5339 7976\n6531 9728\n95382 100000\n39114 58738\n17821 26622\n11952 17851\n27165 40686\n25452 38106\n32280 48406\n4818 7193\n92563 100000\n46580 69950\n98326 100000\n59184 88846\n54462 81746\n96606 100000\n90059 100000\n80142 100000\n44115 66251\n16028 23944\n98221 100000\n71469 100000\n67388 100000\n97651 100000\n10788 16095\n93611 100000\n20794 31143\n39782 59744\n98644 100000\n63001 94526\n96562 100000\n31821 47711\n456 667\n68785 100000\n90732 100000\n8007 11937\n67371 100000\n39278 58983\n9473 14119\n52016 78103\n46094 69207\n59304 89023\n66605 99885\n11718 17494\n61988 93014\n59004 88582\n57884 86898\n6846 10191\n70257 100000\n17291 25835\n29124 43647\n32084 48111\n24245 36281\n61905 92895\n39665 59569\n20084 30067\n23299 34864\n7730 11525\n47877 71921\n38638 58014\n54868 82352\n30333 45485\n30196 45267\n17948 26819\n43317 65080\n42859 64373\n30667 45996\n86744 100000\n87658 100000\n16317 24371\n55082 82675\n33319 49992\n73599 100000\n20587 30827\n55002 82557\n13556 20254\n47608 71520\n93860 100000\n42630 64032\n33354 50051\n45961 69009\n48497 72835\n9385 13996\n21080 31562\n82832 100000\n22751 34056\n64537 96823\n68819 100000\n48644 73057\n27955 41882\n54294 81498\n61379 92100\n35838 53793\n30648 45963\n70469 100000\n84782 100000\n87748 100000\n31958 47917\n16281 24318\n59996 90055\n62526 93825\n44828 67313\n66359 99518\n89827 100000\n99198 100000\n58224 87407\n99486 100000\n68863 100000\n55974 84043\n52481 78779\n84299 100000\n25546 38243\n38532 57855\n70770 100000\n94181 100000\n82934 100000\n43388 65184\n52158 78312\n30546 45806\n49050 73676\n37731 56623\n18867 28206\n42818 64312\n62515 93807\n51789 77772\n29741 44574\n5003 7479\n67657 100000\n99698 100000\n2802 4174\n17177 25669\n29938 44866\n8688 12952\n98673 100000\n55842 83851\n23913 35786\n5936 8839\n68086 100000\n36156 54278\n3791 5658\n2053 3050\n77922 100000\n40129 60247\n82878 100000\n4086 6093\n51159 76835\n58961 88518\n62350 93567\n30872 46299\n40998 61569\n68130 100000\n60991 91532\n83606 100000\n92185 100000\n32031 48033\n1951 2896\n18230 27251\n6983 10400\n28088 42076\n19376 28990\n21867 32742\n82676 100000\n86240 100000\n54752 82185\n75148 100000\n30382 45554\n86251 100000\n15326 22884\n50246 75454\n86997 100000\n20769 31103\n89595 100000\n96721 100000\n87274 100000\n53403 80154\n42189 63359\n26308 39387\n9222 13749\n43768 65731\n85759 100000\n14172 21178\n47846 71873\n9936 14818\n9534 14209\n63819 95744\n24338 36422\n62900 94381\n8565 12762\n98645 100000\n83969 100000\n66759 100000\n41841 62843\n35015 52543\n38739 58167\n90649 100000\n5323 7951\n95456 100000\n80460 100000\n19610 29346\n67199 100000\n23662 35410\n81282 100000\n18865 28204\n16439 24558\n8668 12917\n5380 8033\n43995 66078\n9905 14771\n22250 33318\n41511 62350\n90177 100000\n41114 61751\n37971 56983\n22901 34267\n35649 53498\n22523 33722\n60637 91002\n93848 100000\n73483 100000\n94212 100000\n60432 90696\n91300 100000\n65575 98360\n68414 100000\n1315 1960\n44470 66783\n80405 100000\n73794 100000\n79461 100000\n39449 59250\n68051 100000\n79322 100000\n46832 70328\n28835 43216\n55337 83070\n96119 100000\n80299 100000\n74707 100000\n96166 100000\n93876 100000\n82367 100000\n43054 64674\n51893 77922\n93422 100000\n94227 100000\n10451 15571\n5798 8641\n1432 2133\n7311 10904\n22518 33715\n14628 21844\n47979 72071\n70707 100000\n51011 76609\n62787 94216\n75828 100000\n78208 100000\n31527 47281\n90338 100000\n14613 21819\n1288 1915\n60804 91257\n48717 73171\n64920 97389\n1471 2196\n23230 34766\n41171 61834\n68947 100000\n27545 41269\n18783 28079\n77438 100000\n50304 75548\n92988 100000\n84985 100000\n34907 52378\n617 903\n85976 100000\n91710 100000\n69357 100000\n45257 67955\n98456 100000\n99453 100000\n99829 100000\n34213 51331\n99221 100000\n46263 69467\n11314 16886\n70140 100000\n61149 91772\n21261 31833\n41236 61934\n44519 66857\n31458 47176\n74120 100000\n1952 2897\n50040 75158\n94017 100000\n61188 91824\n20183 30212\n5886 8767\n41139 61785\n71716 100000\n30090 45096\n88834 100000\n45722 68653\n11025 16458\n14793 22084\n47166 70836\n72026 100000\n21831 32687\n13374 19992\n62997 94519\n76686 100000\n35474 53235\n87918 100000\n11523 17205\n15886 23735\n5976 8902\n68958 100000\n72113 100000\n58638 88038\n46345 69592\n53996 81050\n50511 75870\n63170 94768\n98467 100000\n51978 78047\n7671 11444\n67410 100000\n61186 91822\n10954 16347\n64383 96581\n62717 94115\n25620 38354\n85060 100000\n40502 60820\n10701 15952\n23522 35204\n77873 100000\n8562 12756\n60226 90394\n82009 100000\n97838 100000\n4059 6051\n64080 96129\n81495 100000\n28766 43106\n60600 90947\n99342 100000\n76066 100000\n95352 100000\n90042 100000\n88653 100000\n60075 90171\n96600 100000\n43567 65434\n34901 52369\n78925 100000\n6729 10012\n63166 94763\n20295 30392\n78543 100000\n32896 49354\n72775 100000\n96728 100000\n78497 100000\n52956 79494\n6142 9140\n9606 14312\n73443 100000\n41781 62753\n40029 60102\n3740 5581\n74953 100000\n24498 36662\n39634 59526\n82299 100000\n16195 24192\n383 561\n72098 100000\n90304 100000\n83107 100000\n15688 23442\n17860 26679\n25135 37629\n79745 100000\n39530 59372\n51702 77641\n46449 69748\n70405 100000\n4256 6352\n84905 100000\n47790 71794\n88750 100000\n6791 10109\n86508 100000\n12553 18758\n95022 100000\n71951 100000\n25250 37802\n21647 32413\n5419 8091\n64839 97269\n89351 100000\n23616 35338\n30670 46001\n37749 56649\n32852 49283\n51279 77013\n34586 51898\n84770 100000\n35117 52704\n6075 9040\n88131 100000\n61004 91551\n27934 41854\n32521 48776\n35592 53411\n74917 100000\n16969 25345\n52718 79141\n11596 17312\n23696 35461\n58408 87686\n22595 33825\n34222 51344\n68028 100000\n20480 30664\n44737 67180\n68244 100000\n10080 15034\n47636 71562\n8069 12030\n68654 100000\n65939 98894\n85428 100000\n46295 69517\n82813 100000\n93161 100000\n21635 32395\n28858 43251\n12471 18635\n40361 60596\n46355 69609\n82437 100000\n74408 100000\n17318 25873\n97167 100000\n97138 100000\n6279 9343\n53692 80586\n8635 12867\n54650 82031\n30250 45348\n34416 51632\n18719 27978\n40492 60802\n27848 41720\n46568 69932\n88274 100000\n69955 100000\n86457 100000\n18306 27365\n79324 100000\n8402 12523\n36005 54047\n80832 100000\n16217 24220\n9407 14032\n66690 100000\n93226 100000\n81004 100000\n23044 34477\n27953 41879\n59798 89756\n37187 55806\n72347 100000\n44708 67136\n59333 89067\n44929 67459\n63388 95089\n1077 1595\n43483 65318\n19459 29113\n51846 77857\n96040 100000\n55482 83289\n89441 100000\n32197 48284\n38231 57389\n34770 52184\n85527 100000\n34250 51383\n18175 27168\n45970 69022\n79768 100000\n279 408\n87879 100000\n12699 18983\n20206 30245\n56752 85206\n48797 73291\n15078 22510\n92398 100000\n28229 42296\n67940 100000\n62798 94231\n60590 90934\n37985 57002\n96329 100000\n90547 100000\n2708 4034\n90907 100000\n36446 54701\n45167 67818\n58780 88243\n57365 86127\n15618 23337\n28265 42346\n15158 22634\n6988 10409\n49054 73682\n56696 85126\n55996 84070\n54300 81505\n80385 100000\n26002 38924\n935 1381\n2338 3477\n5888 8771\n69872 100000\n68431 100000\n60038 90117\n55288 82991\n84063 100000\n81887 100000\n20656 30931\n9861 14702\n63471 95214\n883 1299\n44280 66496\n37633 56478\n44373 66640\n90577 100000\n26787 40113\n27943 41866\n6331 9423\n65488 98234\n90704 100000\n63472 95215\n31568 47345\n72284 100000\n99500 100000\n36176 54310\n59322 89049\n80666 100000\n18092 27036\n12447 18598\n8728 13010\n25665 38427\n34375 51567\n4388 6553\n20584 30822\n32261 48375\n35569 53380\n80720 100000\n61211 91855\n4034 6014\n18620 27827\n76614 100000\n76977 100000\n7703 11489\n51576 77452\n28034 41996\n5837 8694\n47665 71607\n55117 82728\n66237 99335\n56879 85406\n68522 100000\n76884 100000\n43278 65021\n90781 100000\n73252 100000\n18452 27579\n63512 95276\n78825 100000\n54849 82327\n38596 57952\n80080 100000\n80250 100000\n35401 53125\n4840 7226\n57309 86047\n76501 100000\n68951 100000\n76018 100000\n4286 6397\n60407 90657\n71813 100000\n55733 83681\n4421 6602\n41028 61619\n93846 100000\n31163 46726\n12527 18717\n85189 100000\n94586 100000\n26977 40402\n83183 100000\n23471 35134\n44779 67243\n43566 65432\n71613 100000\n28933 43365\n25591 38313\n62955 94459\n25051 37504\n22869 34223\n854 1258\n2586 3853\n51167 76845\n83681 100000\n53126 79733\n95084 100000\n39595 59469\n39390 59158\n13404 20038\n82904 100000\n21813 32658\n33269 49909\n21854 32724\n18661 27890\n50843 76363\n66169 99233\n54956 82487\n84935 100000\n22266 33347\n50553 75939\n60324 90532\n64522 96796\n24780 37090\n44665 67068\n28687 42990\n70153 100000\n62280 93464\n70479 100000\n14849 22162\n64869 97315\n91410 100000\n73080 100000\n27029 40482\n4475 6679\n15995 23895\n53938 80963\n12056 18010\n93281 100000\n5964 8883\n50279 75507\n6264 9324\n39816 59793\n15944 23817\n39617 59501\n9584 14273\n66577 99845\n22921 34296\n91273 100000\n83303 100000\n64816 97235\n41924 62967\n14641 21866\n21663 32438\n44728 67167\n67273 100000\n65266 97898\n21072 31550\n8389 12503\n43055 64675\n43260 64994\n73032 100000\n97579 100000\n40494 60806\n36767 55180\n1774 2643\n79223 100000\n99120 100000\n30359 45520\n42600 63990\n71380 100000\n89533 100000\n79829 100000\n48353 72619\n89679 100000\n32559 48834\n51218 76922\n40477 60779\n93169 100000\n10019 14938\n29799 44660\n36649 55002\n15352 22920\n38090 57165\n37707 56587\n1705 2543\n79292 100000\n64702 97068\n81405 100000\n81175 100000\n1896 2820\n47641 71569\n15223 22729\n44783 67248\n90807 100000\n2139 3188\n9834 14658\n46027 69107\n6305 9382\n59540 89375\n84335 100000\n55015 82576\n43339 65112\n62538 93841\n51131 76790\n16805 25106\n54808 82270\n6243 9291\n21096 31584\n15217 22720\n91229 100000\n27629 41394\n88151 100000\n66600 99879\n65642 98449\n95790 100000\n40048 60132\n31263 46877\n16011 23922\n99439 100000\n46342 69588\n43549 65409\n76741 100000\n19603 29336\n62633 93990\n46093 69205\n35577 53391\n66595 99872\n46541 69890\n8016 11950\n78885 100000\n67259 100000\n12003 17928\n61648 92506\n33392 50106\n18813 28127\n17232 25748\n16609 24811\n40991 61559\n41474 62288\n19230 28763\n54952 82481\n34012 51028\n76067 100000\n9131 13612\n34839 52283\n92844 100000\n16824 25134\n36687 55061\n14223 21252\n40483 60787\n69061 100000\n70006 100000\n37149 55750\n62356 93576\n63670 95513\n11843 17692\n68753 100000\n82279 100000\n5331 7964\n90429 100000\n89491 100000\n83225 100000\n1219 1815\n27272 40845\n95905 100000\n29057 43553\n60938 91457\n86107 100000\n43243 64966\n42797 64279\n83930 100000\n66804 100000\n2259 3363\n82487 100000\n69781 100000\n47123 70772\n26424 39562\n63654 95491\n42597 63985\n10938 16322\n76058 100000\n87844 100000\n99207 100000\n69236 100000\n36651 55004\n79641 100000\n68866 100000\n90376 100000\n91030 100000\n2136 3184\n48647 73061\n99045 100000\n90831 100000\n15704 23466\n21914 32811\n35028 52565\n10509 15657\n30863 46285\n55426 83207\n26777 40097\n73398 100000\n9184 13692\n76016 100000\n11682 17438\n38618 57983\n53371 80109\n48241 72464\n24998 37431\n34208 51323\n82378 100000\n1196 1781\n53563 80389\n55095 82694\n85337 100000\n90713 100000\n89849 100000\n15987 23883\n26075 39030\n76545 100000\n5812 8660\n99553 100000\n25594 38318\n16943 25308\n55359 83101\n79723 100000\n24921 37308\n76098 100000\n6108 9085\n89293 100000\n71822 100000\n62693 94080\n93953 100000\n56964 85526\n94315 100000\n71364 100000\n18697 27943\n19879 29755\n99118 100000\n44909 67431\n53307 80014\n71332 100000\n65721 98570\n46912 70447\n63913 95886\n14897 22233\n20261 30333\n86510 100000\n44177 66344\n13424 20065\n15394 22988\n44835 67323\n65254 97880\n28824 43199\n32941 49421\n33892 50855\n87323 100000\n2506 3729\n33258 49894\n43162 64841\n34340 51512\n36550 54852\n22877 34234\n7514 11211\n14310 21378\n97798 100000\n52720 79143\n47115 70759\n71039 100000\n21029 31488\n57607 86483\n74045 100000\n44478 66798\n4634 6918\n49978 75060\n35287 52956\n67952 100000\n62151 93264\n94603 100000\n55757 83716\n10043 14978\n11656 17397\n23825 35658\n56258 84459\n17818 26618\n98015 100000\n31167 46733\n31507 47247\n53227 79890\n28907 43323\n38250 57421\n54633 82004\n84653 100000\n14084 21041\n52075 78188\n81525 100000\n53138 79753\n67231 100000\n44033 66131\n19595 29323\n49632 74548\n63669 95511\n79405 100000\n18773 28063\n43379 65169\n28880 43283\n67252 100000\n52284 78495\n45466 68262\n9387 14000\n96214 100000\n78959 100000\n41007 61582\n16785 25079\n45228 67911\n28898 43309\n76219 100000\n34766 52178\n2453 3647\n98126 100000\n59176 88831\n78910 100000\n71014 100000\n75235 100000\n8252 12300\n52372 78624\n77145 100000\n88576 100000\n64365 96553\n91596 100000\n15095 22535\n96834 100000\n65076 97624\n24366 36465\n36498 54775\n86980 100000\n7043 10493\n83738 100000\n77319 100000\n55612 83497\n29016 43488\n89865 100000\n96641 100000\n58165 87316\n39678 59590\n3829 5717\n5499 8200\n6734 10020\n94465 100000\n4785 7143\n49572 74456\n22685 33956\n63912 95885\n63373 95066\n11745 17536\n64917 97385\n31298 46935\n67717 100000\n31214 46804\n79147 100000\n63730 95603\n78808 100000\n25835 38675\n86098 100000\n11268 16818\n24390 36500\n98628 100000\n86117 100000\n37340 56028\n78355 100000\n80739 100000\n76343 100000\n91230 100000\n47565 71449\n59044 88639\n43737 65683\n24400 36514\n11078 16537\n34799 52226\n57863 86865\n73753 100000\n50212 75408\n70053 100000\n86343 100000\n12526 18716\n96680 100000\n76638 100000\n66164 99226\n28177 42213\n43917 65958\n59603 89468\n47251 70971\n42791 64272\n20487 30675\n93431 100000\n10600 15795\n34179 51278\n85746 100000\n87315 100000\n27944 41867\n68750 100000\n628 922\n92974 100000\n95190 100000\n82745 100000\n60671 91050\n2969 4418\n65210 97816\n52906 79414\n40496 60810\n81705 100000\n9137 13622\n68733 100000\n4060 6053\n10680 15915\n18026 26935\n73845 100000\n34048 51088\n6086 9055\n34125 51199\n79513 100000\n15717 23484\n46642 70040\n76624 100000\n13190 19715\n71064 100000\n33011 49525\n45367 68115\n25849 38695\n52226 78412\n53580 80416\n96286 100000\n89537 100000\n88957 100000\n92991 100000\n23070 34513\n59228 88912\n73811 100000\n96469 100000\n8288 12349\n70914 100000\n72201 100000\n5143 7691\n70186 100000\n70599 100000\n22764 34072\n2499 3716\n82705 100000\n51282 77018\n71512 100000\n92834 100000\n69087 100000\n18519 27679\n36480 54749\n89049 100000\n88496 100000\n27821 41679\n56924 85469\n67497 100000\n84700 100000\n86967 100000\n94490 100000\n11451 17096\n59442 89230\n43698 65631\n37700 56576\n20442 30612\n17276 25815\n86774 100000\n43391 65189\n68503 100000\n15306 22857\n1974 2929\n81068 100000\n92634 100000\n94423 100000\n78219 100000\n37983 57000\n74834 100000\n66085 99112\n82449 100000\n15418 23021\n62847 94305\n57389 86164\n85339 100000\n65280 97920\n96321 100000\n93856 100000\n2178 3246\n82887 100000\n34039 51074\n14467 21605\n40405 60664\n82466 100000\n14948 22310\n57265 85980\n66908 100000\n30806 46200\n87147 100000\n63810 95731\n72538 100000\n58775 88236\n24287 36349\n34999 52521\n64583 96892\n254 368\n94025 100000\n50269 75489\n18272 27317\n94103 100000\n28608 42878\n40349 60577\n1600 2394\n1711 2553\n80237 100000\n68293 100000\n13364 19975\n75102 100000\n83031 100000\n68187 100000\n14990 22370\n84268 100000\n78421 100000\n1547 2314\n17720 26475\n59550 89390\n54060 81144\n51446 77269\n3281 4878\n55430 83212\n66554 99808\n12267 18325\n7659 11426\n78206 100000\n12910 19289\n6338 9436\n59353 89098\n39025 58608\n84099 100000\n50579 75975\n4415 6594\n3165 4711\n54465 81751\n83224 100000\n30152 45193\n10910 16276\n25087 37557\n87140 100000\n61758 92668\n94955 100000\n44616 66994\n12310 18392\n28840 43226\n27556 41285\n35049 52594\n84745 100000\n46726 70170\n99544 100000\n90430 100000\n48583 72962\n66333 99480\n77374 100000\n47795 71800\n4042 6026\n50388 75673\n42069 63177\n48843 73360\n1890 2811\n64399 96602\n90496 100000\n71478 100000\n22745 34047\n73831 100000\n87870 100000\n20939 31358\n5447 8127\n11945 17842\n38313 57518\n78084 100000\n73329 100000\n48571 72944\n92399 100000\n94974 100000\n39575 59436\n78343 100000\n88898 100000\n43881 65902\n11968 17874\n66865 100000\n72522 100000\n98519 100000\n41959 63022\n19050 28483\n12143 18144\n19507 29188\n61192 91829\n87438 100000\n2765 4118\n6454 9614\n14439 21563\n80555 100000\n93110 100000\n34924 52404\n15917 23779\n64468 96712\n57183 85861\n28589 42846\n49499 74349\n66835 100000\n49021 73633\n4789 7151\n15754 23540\n58237 87425\n97230 100000\n91681 100000\n23938 35821\n86768 100000\n26038 38976\n59938 89965\n94682 100000\n32919 49390\n19414 29041\n65696 98529\n64433 96652\n12286 18353\n72696 100000\n32067 48085\n55645 83546\n97332 100000\n44001 66086\n86314 100000\n31727 47575\n82769 100000\n52634 79016\n92970 100000\n83088 100000\n40861 61361\n5421 8094\n87583 100000\n82960 100000\n64986 97492\n83913 100000\n47556 71436\n83329 100000\n29720 44541\n91337 100000\n77198 100000\n8061 12018\n74247 100000\n85708 100000\n57016 85607\n24604 36821\n69691 100000\n47749 71734\n6509 9694\n33937 50920\n49923 74981\n98471 100000\n82742 100000\n5223 7807\n77665 100000\n54872 82358\n23481 35147\n29587 44335\n68439 100000\n22918 34291\n91712 100000\n29929 44851\n21906 32800\n52749 79186\n52241 78432\n10377 15463\n35955 53967\n23772 35577\n11074 16530\n82405 100000\n28165 42194\n93713 100000\n15529 23194\n54063 81149\n4915 7340\n4485 6694\n65738 98598\n99134 100000\n52695 79106\n98401 100000\n30977 46454\n45137 67775\n18855 28187\n73961 100000\n63257 94895\n29879 44777\n59451 89245\n39410 59190\n86815 100000\n75695 100000\n68054 100000\n4868 7271\n11031 16465\n65833 98734\n86738 100000\n60375 90609\n40299 60506\n21606 32354\n37684 56556\n73917 100000\n18054 26977\n23655 35399\n28551 42788\n28704 43013\n78848 100000\n20209 30250\n47625 71545\n68641 100000\n54424 81690\n69210 100000\n3844 5739\n23113 34584\n66780 100000\n12407 18536\n47093 70723\n30986 46468\n59287 89001\n949 1403\n95751 100000\n69081 100000\n88993 100000\n23151 34641\n61617 92457\n85449 100000\n80946 100000\n62963 94469\n40885 61398\n46343 69589\n13343 19944\n95882 100000\n74409 100000\n96489 100000\n77776 100000\n14309 21377\n57274 85993\n27919 41834\n9170 13671\n4164 6217\n54931 82449\n48226 72441\n54281 81478\n83584 100000\n58802 88281\n92366 100000\n3061 4552\n39052 58650\n26274 39334\n28718 43037\n55789 83769\n40873 61379\n11941 17834\n62850 94311\n64859 97299\n10869 16216\n20986 31428\n63695 95551\n88868 100000\n10168 15160\n36029 54084\n30718 46066\n26930 40329\n80712 100000\n79205 100000\n44151 66304\n92995 100000\n86217 100000\n8512 12685\n15113 22562\n61595 92425\n79269 100000\n49241 73960\n54744 82173\n72183 100000\n85819 100000\n88014 100000\n85292 100000\n89665 100000\n62370 93594\n44797 67270\n74822 100000\n83596 100000\n35666 53522\n68833 100000\n55557 83411\n91752 100000\n51571 77445\n45738 68675\n43406 65212\n69069 100000\n53296 79994\n16242 24260\n41932 62978\n12210 18243\n93310 100000\n2407 3580\n77647 100000\n30356 45516\n17768 26539\n13543 20235\n51514 77366\n10747 16030\n69890 100000\n53260 79942\n6992 10415\n79698 100000\n35395 53115\n68308 100000\n55607 83490\n69200 100000\n3632 5414\n34711 52092\n70057 100000\n8871 13222\n15241 22757\n50094 75243\n1498 2239\n6923 10311\n26121 39100\n30543 45802\n66087 99114\n13122 19614\n25097 37571\n6628 9865\n93100 100000\n21856 32727\n47184 70864\n25563 38269\n92869 100000\n60191 90343\n51546 77412\n90431 100000\n5748 8566\n65864 98784\n59577 89431\n40018 60089\n85379 100000\n62073 93145\n193 278\n60047 90130\n69389 100000\n31725 47573\n81424 100000\n97518 100000\n60082 90181\n12311 18393\n65918 98863\n82445 100000\n62361 93582\n54324 81541\n79591 100000\n42680 64103\n9062 13508\n75591 100000\n60830 91298\n37228 55870\n87687 100000\n28629 42909\n72784 100000\n94755 100000\n85880 100000\n95131 100000\n16057 23984\n9253 13801\n32905 49367\n80085 100000\n87391 100000\n62258 93429\n15949 23825\n9833 14656\n135 189\n98117 100000\n31786 47657\n62794 94226\n59967 90012\n28700 43008\n68142 100000\n80886 100000\n75486 100000\n15710 23476\n98297 100000\n55978 84047\n27942 41864\n76558 100000\n59210 88886\n87167 100000\n75526 100000\n19237 28774\n73600 100000\n6397 9523\n57938 86978\n54159 81301\n16484 24626\n6389 9511\n99772 100000\n40036 60115\n98244 100000\n22379 33513\n98521 100000\n74460 100000\n35733 53632\n13430 20074\n15997 23899\n29041 43526\n7579 11312\n26996 40433\n15153 22625\n9522 14194\n38592 57944\n17728 26487\n65685 98512\n11093 16559\n35844 53802\n56447 84752\n65306 97961\n66356 99514\n78302 100000\n35222 52862\n32606 48904\n86173 100000\n543 802\n98959 100000\n74011 100000\n74916 100000\n85434 100000\n75942 100000\n95987 100000\n33403 50121\n98820 100000\n53790 80737\n91466 100000\n56913 85457\n90735 100000\n27970 41907\n99020 100000\n43153 64830\n25421 38059\n13321 19913\n96581 100000\n35889 53870\n43865 65876\n13793 20608\n73726 100000\n35375 53085\n82011 100000\n88321 100000\n8113 12094\n74928 100000\n47028 70621\n39349 59093\n39050 58647\n56505 84834\n33144 49726\n88008 100000\n1160 1724\n58977 88540\n60064 90153\n21506 32201\n6037 8985\n5941 8847\n63775 95673\n48376 72652\n25841 38681\n83894 100000\n24471 36622\n46905 70437\n75137 100000\n98379 100000\n85128 100000\n54830 82298\n18235 27259\n59134 88770\n67624 100000\n41092 61717\n36330 54534\n60454 90728\n35423 53158\n79397 100000\n60449 90721\n75785 100000\n43970 66042\n68213 100000\n62938 94434\n68534 100000\n5375 8025\n29850 44733\n92181 100000\n68014 100000\n81333 100000\n34403 51611\n2077 3088\n53019 79586\n69934 100000\n7992 11916\n18438 27559\n28167 42197\n70674 100000\n56272 84482\n20019 29969\n76815 100000\n2454 3649\n9414 14042\n76896 100000\n7688 11469\n45658 68555\n30405 45593\n47212 70911\n57737 86672\n58033 87120\n97030 100000\n96848 100000\n30624 45926\n93119 100000\n87907 100000\n72524 100000\n82511 100000\n90725 100000\n16587 24778\n50028 75141\n64135 96212\n39008 58584\n8022 11958\n92346 100000\n12085 18054\n86754 100000\n58159 87309\n36623 54960\n17432 26054\n74127 100000\n73107 100000\n8324 12404\n41058 61668\n63125 94703\n10957 16353\n32760 49138\n79577 100000\n80330 100000\n72616 100000\n47803 71811\n88727 100000\n48807 73307\n42629 64030\n18083 27023\n26732 40028\n87949 100000\n18548 27721\n52597 78954\n74997 100000\n69876 100000\n36909 55393\n80022 100000\n64000 96011\n95453 100000\n32098 48133\n2714 4042\n67679 100000\n86066 100000\n1082 1601\n67995 100000\n41848 62853\n91266 100000\n3890 5803\n43599 65484\n27645 41419\n74947 100000\n95056 100000\n26851 40208\n873 1282\n76129 100000\n54677 82071\n97242 100000\n76618 100000\n17406 26012\n17563 26249\n97453 100000\n96069 100000\n58754 88211\n76177 100000\n28142 42155\n14502 21652\n23746 35540\n71833 100000\n69391 100000\n76683 100000\n98495 100000\n6972 10384\n59087 88700\n89155 100000\n99246 100000\n8590 12800\n81867 100000\n7470 11147\n49337 74104\n26989 40422\n72642 100000\n61242 91898\n84491 100000\n91598 100000\n18840 28163\n21919 32819\n38664 58054\n54761 82199\n38832 58317\n2605 3883\n35000 52523\n96253 100000\n82809 100000\n9285 13853\n75000 100000\n51013 76612\n42160 63317\n98955 100000\n97741 100000\n60721 91129\n53174 79802\n74274 100000\n56816 85303\n78236 100000\n73972 100000\n57169 85837\n30774 46151\n81706 100000\n32538 48802\n36302 54491\n69221 100000\n6097 9068\n17777 26551\n29178 43731\n36862 55325\n67488 100000\n95607 100000\n40071 60166\n90097 100000\n69488 100000\n98608 100000\n65281 97922\n86870 100000\n54451 81731\n51158 76833\n89667 100000\n52650 79035\n94127 100000\n41871 62887\n19542 29244\n19177 28681\n15757 23545\n7770 11584\n35444 53193\n7323 10924\n56062 84174\n93158 100000\n91761 100000\n70193 100000\n17330 25892\n45170 67824\n52061 78166\n5921 8818\n98719 100000\n83539 100000\n39086 58702\n77984 100000\n86393 100000\n76564 100000\n19893 29776\n18819 28135\n84423 100000\n16981 25364\n75437 100000\n83022 100000\n71055 100000\n77223 100000\n78400 100000\n17798 26589\n4908 7330\n50460 75788\n71232 100000\n87388 100000\n94484 100000\n47424 71230\n13587 20301\n68176 100000\n27586 41332\n58467 87770\n22321 33428\n25498 38170\n71464 100000\n34229 51354\n93936 100000\n68841 100000\n89396 100000\n97441 100000\n28498 42714\n17976 26861\n26980 40407\n11168 16666\n33729 50610\n6055 9011\n19573 29288\n58178 87337\n83317 100000\n67764 100000\n75816 100000\n44035 66134\n89001 100000\n85334 100000\n55780 83753\n37556 56364\n26084 39043\n27826 41688\n81262 100000\n41316 62059\n93268 100000\n69292 100000\n37347 56038\n80478 100000\n38477 57765\n22476 33658\n84185 100000\n41421 62214\n46084 69191\n91903 100000\n45831 68817\n54307 81517\n85156 100000\n1917 2850\n5663 8441\n95394 100000\n89104 100000\n61340 92047\n63135 94721\n80943 100000\n90004 100000\n95505 100000\n25288 37856\n19585 29306\n36865 55328\n36271 54447\n95169 100000\n37336 56021\n13738 20529\n5436 8115\n54869 82354\n66717 100000\n51459 77288\n56160 84312\n82829 100000\n81475 100000\n92232 100000\n68997 100000\n26433 39576\n90383 100000\n303 441\n89207 100000\n27925 41842\n10227 15245\n32583 48870\n69784 100000\n46148 69288\n40473 60772\n44650 67046\n84408 100000\n25771 38578\n93911 100000\n87580 100000\n36056 54127\n27914 41826\n56070 84186\n27157 40674\n52086 78202\n9743 14522\n8360 12458\n99328 100000\n18444 27569\n95290 100000\n4036 6016\n17343 25912\n33446 50187\n7670 11442\n79154 100000\n9912 14782\n91738 100000\n67820 100000\n47324 71077\n43992 66074\n22492 33677\n15107 22552\n13644 20390\n88978 100000\n18944 28325\n35390 53107\n80325 100000\n24308 36380\n90069 100000\n65553 98329\n50754 76233\n17358 25935\n5167 7722\n62527 93826\n29966 44906\n93598 100000\n3232 4807\n9463 14107\n45510 68319\n91545 100000\n90856 100000\n56239 84428\n11256 16797\n17900 26742\n63109 94673\n16438 24557\n79165 100000\n17540 26215\n43494 65330\n20341 30465\n1891 2813\n30372 45537\n95660 100000\n26626 39868\n38712 58129\n2770 4128\n96232 100000\n559 820\n15548 23225\n35428 53166\n58399 87671\n52394 78654\n44938 67473\n30420 45614\n10686 15925\n64435 96656\n52502 78811\n9080 13536\n6383 9500\n62085 93162\n4289 6401\n31529 47283\n92889 100000\n85567 100000\n41504 62337\n1658 2477\n10898 16258\n26351 39456\n6568 9782\n57264 85979\n48778 73258\n52236 78425\n15061 22483\n53208 79860\n72013 100000\n15098 22539\n62144 93252\n13892 20761\n38696 58106\n21560 32281\n6252 9303\n52733 79163\n57709 86633\n71192 100000\n85993 100000\n40000 60062\n57268 85984\n46047 69132\n31294 46928\n21097 31585\n50021 75131\n83763 100000\n19706 29499\n43411 65219\n2613 3894\n848 1250\n24633 36867\n53832 80802\n97711 100000\n93997 100000\n70443 100000\n75336 100000\n33696 50563\n59940 89967\n60550 90870\n68734 100000\n3203 4765\n49357 74136\n3421 5083\n65265 97897\n82798 100000\n69440 100000\n23827 35660\n52233 78422\n74724 100000\n70189 100000\n91540 100000\n22386 33524\n17346 25917\n94683 100000\n8848 13186\n20377 30516\n24012 35935\n53071 79653\n12845 19198\n96497 100000\n59126 88759\n25918 38792\n39264 58959\n57105 85740\n99856 100000\n31116 46658\n21784 32614\n15033 22440\n62141 93249\n71556 100000\n16378 24466\n31008 46498\n8140 12138\n18651 27875\n15543 23215\n81212 100000\n73836 100000\n56557 84913\n96476 100000\n28366 42499\n56309 84540\n46606 69988\n25096 37570\n95473 100000\n68240 100000\n98368 100000\n60865 91351\n39962 60005\n20695 30990\n73285 100000\n62112 93205\n88901 100000\n48098 72247\n85919 100000\n59200 88870\n14856 22174\n8251 12299\n53788 80733\n45724 68655\n66414 99595\n32411 48609\n79617 100000\n77130 100000\n21064 31539\n24805 37129\n61741 92642\n81673 100000\n80159 100000\n15268 22798\n62254 93422\n624 915\n48270 72508\n42253 63467\n57083 85702\n88020 100000\n72099 100000\n87198 100000\n70742 100000\n98767 100000\n33557 50352\n57248 85954\n33332 50012\n3185 4740\n24710 36990\n18420 27533\n95717 100000\n68185 100000\n25406 38037\n43310 65070\n79056 100000\n85264 100000\n48756 73229\n94854 100000\n40966 61519\n4751 7095\n41262 61974\n21345 31951\n52406 78671\n60414 90666\n4732 7064\n88767 100000\n61199 91838\n71088 100000\n37618 56458\n3214 4781\n37833 56772\n62887 94363\n68303 100000\n22468 33644\n14499 21647\n22597 33827\n62261 93432\n10073 15021\n43413 65222\n38405 57657\n33021 49542\n62446 93700\n9433 14068\n9422 14054\n85990 100000\n69226 100000\n84688 100000\n16067 24002\n93855 100000\n73251 100000\n87118 100000\n57842 86832\n95047 100000\n269 391\n65840 98747\n50635 76060\n75430 100000\n81969 100000\n9008 13429\n46823 70317\n98497 100000\n72766 100000\n51213 76914\n6767 10072\n65429 98145\n69950 100000\n40656 61054\n73210 100000\n39041 58632\n76897 100000\n75545 100000\n58405 87682\n8255 12304\n21800 32637\n50479 75819\n41623 62518\n45230 67913\n81132 100000\n46948 70499\n78879 100000\n49017 73627\n49602 74503\n9245 13788\n91581 100000\n85330 100000\n76511 100000\n43290 65040\n75041 100000\n95804 100000\n76507 100000\n22240 33304\n64643 96984\n29087 43595\n11748 17540\n56410 84695\n58619 88005\n28423 42590\n26539 39739\n41958 63020\n23379 34993\n2612 3893\n53471 80257\n78985 100000\n57680 86590\n16434 24553\n66870 100000\n51726 77675\n80782 100000\n4878 7286\n56659 85070\n78075 100000\n79047 100000\n61817 92756\n61932 92934\n54667 82057\n93933 100000\n82711 100000\n30165 45216\n50662 76099\n23333 34918\n84986 100000\n34254 51389\n27789 41636\n15732 23505\n41774 62741\n88275 100000\n90834 100000\n80205 100000\n42540 63894\n73861 100000\n4296 6414\n15407 23007\n29284 43886\n46805 70288\n40681 61096\n15286 22828\n43946 66001\n83799 100000\n65013 97531\n98597 100000\n19531 29225\n82352 100000\n84513 100000\n80644 100000\n12023 17957\n2713 4041\n86660 100000\n35177 52793\n75471 100000\n61866 92834\n25814 38642\n2846 4240\n60823 91287\n63882 95837\n53838 80813\n12554 18759\n3848 5744\n4193 6261\n7333 10943\n20288 30379\n51307 77057\n89177 100000\n22519 33716\n26177 39184\n95730 100000\n82300 100000\n58724 88170\n72869 100000\n71531 100000\n44918 67441\n21933 32841\n64597 96915\n72757 100000\n48218 72429\n63128 94708\n3272 4866\n2575 3832\n3432 5101\n83450 100000\n51610 77509\n15280 22819\n37295 55964\n2598 3872\n25913 38783\n25283 37849\n10661 15887\n8011 11943\n15576 23271\n24563 36760\n35883 53862\n32759 49137\n90306 100000\n66291 99419\n29752 44589\n81092 100000\n99122 100000\n72271 100000\n78025 100000\n14062 21009\n45451 68241\n77798 100000\n32802 49202\n17044 25458\n18150 27131\n4297 6416\n87780 100000\n22892 34255\n36229 54386\n58874 88387\n16089 24035\n18203 27207\n25780 38591\n90978 100000\n80928 100000\n28280 42369\n99685 100000\n76854 100000\n70802 100000\n27853 41728\n44726 67165\n3111 4625\n37181 55796\n95444 100000\n9838 14662\n92846 100000\n26754 40060\n4572 6837\n68388 100000\n68082 100000\n79201 100000\n77063 100000\n56546 84897\n20418 30582\n57262 85976\n32194 48279\n86010 100000\n18125 27092\n88352 100000\n2709 4035\n22941 34327\n94587 100000\n68449 100000\n94252 100000\n87175 100000\n1125 1667\n49317 74076\n73850 100000\n74496 100000\n30178 45234\n35606 53433\n47626 71547\n31893 47819\n39697 59615\n76622 100000\n7977 11890\n27548 41273\n56219 84397\n85268 100000\n72174 100000\n3322 4935\n24236 36268\n73543 100000\n40682 61097\n4070 6068\n54878 82368\n84808 100000\n46386 69652\n17744 26509\n93597 100000\n349 512\n79957 100000\n63066 94616\n9848 14680\n34002 51013\n94403 100000\n94420 100000\n2248 3348\n49439 74258\n51956 78015\n33127 49700\n63083 94640\n20065 30037\n44290 66512\n72310 100000\n21004 31453\n41722 62664\n74754 100000\n97035 100000\n37282 55948\n37265 55928\n59034 88624\n58455 87751\n56737 85182\n21212 31757\n94297 100000\n87275 100000\n15806 23619\n11326 16904\n41912 62950\n42053 63151\n89419 100000\n60507 90803\n56015 84100\n144 201\n21005 31454\n67762 100000\n71899 100000\n23351 34948\n89142 100000\n14254 21297\n74033 100000\n67709 100000\n47531 71397\n16088 24033\n14490 21637\n30617 45915\n76547 100000\n60895 91398\n26772 40090\n69863 100000\n56783 85253\n8250 12298\n56856 85368\n66811 100000\n77928 100000\n25773 38581\n68970 100000\n70789 100000\n68642 100000\n52072 78185\n94488 100000\n47740 71721\n60678 91060\n25753 38552\n7313 10908\n47714 71680\n93805 100000\n76569 100000\n34849 52298\n86453 100000\n65136 97713\n86091 100000\n21381 32006\n51109 76756\n16295 24338\n21153 31672\n41739 62688\n31612 47408\n17802 26593\n97360 100000\n81669 100000\n54963 82496\n73186 100000\n65441 98161\n54284 81482\n76708 100000\n61483 92261\n79296 100000\n58248 87442\n5308 7929\n66701 100000\n3090 4596\n28873 43272\n49507 74362\n93710 100000\n40348 60576\n83734 100000\n51078 76708\n22768 34076\n87200 100000\n36250 54415\n3208 4771\n44082 66205\n86516 100000\n13494 20165\n71878 100000\n62508 93797\n94711 100000\n74627 100000\n244 354\n65333 98001\n17767 26538\n76688 100000\n34549 51838\n22111 33112\n6137 9132\n97545 100000\n34187 51291\n2633 3923\n24096 36056\n46673 70088\n44383 66655\n35413 53143\n48793 73284\n58385 87650\n33308 49970\n96938 100000\n39949 59989\n6667 9922\n42367 63647\n34202 51315\n37916 56896\n61714 92603\n15396 22991\n43365 65150\n80961 100000\n58336 87576\n89066 100000\n95753 100000\n34359 51541\n79760 100000\n10926 16303\n75244 100000\n87456 100000\n13925 20804\n56013 84097\n74829 100000\n26387 39505\n57454 86252\n6943 10342\n60381 90618\n73567 100000\n91547 100000\n45757 68703\n17689 26434\n94998 100000\n82564 100000\n34477 51726\n13626 20363\n74294 100000\n93852 100000\n32116 48161\n83398 100000\n55178 82815\n70722 100000\n69462 100000\n63782 95685\n936 1382\n41832 62831\n43069 64697\n90415 100000\n96431 100000\n15461 23086\n28973 43426\n11549 17244\n27401 41039\n15230 22742\n21637 32399\n12457 18614\n92486 100000\n57494 86314\n7213 10752\n50930 76485\n54577 81924\n9338 13928\n95916 100000\n69791 100000\n10580 15761\n78493 100000\n98837 100000\n72679 100000\n9175 13679\n94049 100000\n96778 100000\n42933 64489\n73111 100000\n55984 84054\n48051 72175\n10640 15854\n66395 99568\n20420 30584\n41096 61723\n35701 53580\n92865 100000\n47117 70763\n41329 62078\n60542 90859\n93386 100000\n97240 100000\n95 130\n50257 75472\n2596 3869\n85275 100000\n63057 94603\n19647 29406\n75345 100000\n99724 100000\n28543 42776\n43392 65191\n13210 19746\n41780 62751\n60487 90775\n35203 52833\n89635 100000\n5846 8711\n10175 15170\n47972 72061\n52528 78852\n49002 73603\n33571 50372\n81561 100000\n76220 100000\n8880 13236\n69459 100000\n65726 98577\n93303 100000\n77026 100000\n62315 93516\n7574 11306\n73156 100000\n76357 100000\n48540 72898\n76475 100000\n76307 100000\n27800 41650\n77182 100000\n65922 98869\n88688 100000\n5844 8707\n24789 37104\n8479 12637\n37307 55980\n52115 78245\n64397 96600\n71495 100000\n94976 100000\n62145 93254\n19747 29557\n69244 100000\n93283 100000\n34903 52372\n54920 82432\n46203 69374\n27661 41440\n37583 56405\n73405 100000\n47348 71119\n65260 97889\n17081 25513\n55677 83598\n97488 100000\n42836 64340\n7523 11224\n11027 16460\n4979 7439\n36652 55006\n35754 53663\n14087 21045\n53850 80830\n60294 90488\n56458 84768\n47071 70690\n5509 8215\n48819 73327\n2750 4094\n96882 100000\n63993 96001\n75335 100000\n83935 100000\n75036 100000\n36226 54383\n79072 100000\n85532 100000\n98675 100000\n64475 96724\n97362 100000\n91640 100000\n48920 73478\n89457 100000\n35343 53042\n48258 72491\n10812 16131\n11073 16528\n42602 63993\n62336 93547\n88314 100000\n73661 100000\n41261 61972\n23902 35770\n32603 48900\n7456 11125\n18626 27834\n73441 100000\n72021 100000\n12351 18454\n3812 5691\n52845 79325\n6029 8975\n78049 100000\n56679 85099\n86904 100000\n29885 44787\n12304 18383\n39746 59691\n46375 69636\n403 590\n43141 64809\n46585 69956\n283 413\n34641 51982\n58584 87952\n81261 100000\n24568 36767\n90878 100000\n21396 32030\n40866 61370\n65783 98662\n66153 99207\n81474 100000\n49103 73754\n67463 100000\n3031 4509\n89183 100000\n16198 24196\n93304 100000\n23480 35146\n37166 55775\n61766 92680\n39094 58714\n61215 91861\n71213 100000\n44232 66424\n88659 100000\n9404 14028\n80200 100000\n68981 100000\n77239 100000\n12378 18496\n78127 100000\n70679 100000\n46703 70135\n54983 82528\n12821 19164\n47984 72079\n48549 72910\n94247 100000\n62797 94230\n96682 100000\n23156 34647\n86905 100000\n93883 100000\n71774 100000\n37020 55561\n5608 8356\n8538 12722\n39371 59128\n71681 100000\n19325 28911\n75231 100000\n81524 100000\n80228 100000\n65185 97782\n98392 100000\n87579 100000\n19078 28526\n41202 61884\n79603 100000\n47377 71162\n37041 55590\n19024 28443\n67563 100000\n61231 91881\n75042 100000\n11223 16746\n54178 81327\n72305 100000\n47070 70689\n33546 50334\n89582 100000\n24750 37049\n86820 100000\n70899 100000\n34472 51719\n44553 66904\n52857 79341\n14512 21669\n4223 6303\n2874 4282\n56378 84651\n4756 7101\n52030 78122\n27456 41126\n35412 53142\n35044 52587\n36569 54877\n54778 82223\n76205 100000\n9365 13967\n68670 100000\n75726 100000\n7361 10985\n41599 62482\n73022 100000\n3078 4579\n77876 100000\n60845 91317\n2464 3664\n35111 52695\n70283 100000\n5902 8790\n59290 89005\n64983 97486\n43738 65685\n36883 55353\n75661 100000\n28359 42488\n48654 73072\n43099 64740\n11329 16908\n37247 55900\n8629 12857\n48035 72154\n58177 87335\n38370 57607\n24018 35946\n3045 4530\n489 723\n96756 100000\n16971 25348\n13241 19792\n93007 100000\n86188 100000\n95111 100000\n86155 100000\n50993 76581\n17969 26852\n85315 100000\n93148 100000\n14225 21254\n71715 100000\n27686 41479\n98693 100000\n27923 41840\n33743 50631\n24866 37224\n16691 24931\n79087 100000\n49102 73752\n816 1204\n96115 100000\n74064 100000\n54236 81408\n57012 85602\n96156 100000\n29329 43956\n47878 71922\n58910 88443\n78594 100000\n39174 58832\n15154 22627\n83616 100000\n14480 21622\n80448 100000\n91456 100000\n78043 100000\n82933 100000\n65051 97589\n6072 9036\n50881 76417\n7283 10863\n62973 94486\n599 875\n27708 41513\n75865 100000\n8702 12973\n2563 3815\n61632 92481\n64058 96096\n41723 62665\n18778 28071\n11096 16562\n38697 58107\n47111 70751\n56131 84271\n72443 100000\n54537 81862\n86366 100000\n97177 100000\n78884 100000\n88839 100000\n65432 98148\n79993 100000\n69529 100000\n67136 100000\n65540 98309\n74280 100000\n4931 7367\n22833 34169\n90357 100000\n38989 58555\n86729 100000\n91824 100000\n1936 2877\n95503 100000\n85561 100000\n36366 54585\n93889 100000\n3466 5153\n38379 57621\n24717 37001\n17286 25829\n58871 88384\n50794 76292\n13261 19822\n5620 8374\n73931 100000\n34877 52336\n54244 81418\n18864 28202\n82197 100000\n88445 100000\n13909 20781\n36647 54999\n36551 54853\n87251 100000\n90809 100000\n17820 26621\n2157 3215\n24836 37178\n16639 24854\n41110 61745\n62201 93339\n87514 100000\n32664 48993\n23058 34498\n8535 12719\n57313 86052\n56121 84257\n18040 26956\n73997 100000\n37152 55754\n32678 49014\n53822 80786\n56859 85373\n60978 91513\n44401 66682\n96186 100000\n75513 100000\n76022 100000\n64954 97440\n87259 100000\n80123 100000\n90307 100000\n67672 100000\n14394 21501\n58307 87532\n17917 26772\n52943 79475\n68743 100000\n89221 100000\n27535 41252\n75310 100000\n72221 100000\n46750 70204\n31926 47869\n77263 100000\n13531 20219\n83460 100000\n63278 94926\n90799 100000\n47458 71282\n82098 100000\n18450 27577\n62463 93727\n85265 100000\n50593 75997\n23737 35526\n23855 35702\n59698 89610\n6187 9210\n79612 100000\n46161 69308\n48176 72364\n93010 100000\n30194 45264\n18105 27059\n60505 90800\n45805 68777\n95649 100000\n25790 38605\n99416 100000\n41449 62252\n10828 16155\n12066 18025\n57048 85652\n63261 94901\n82202 100000\n70927 100000\n23972 35879\n69787 100000\n97086 100000\n50124 75285\n47702 71663\n53761 80691\n76144 100000\n57236 85937\n24221 36245\n9001 13420\n48491 72825\n7243 10799\n71859 100000\n41483 62300\n97309 100000\n5728 8539\n73060 100000\n19082 28531\n18415 27525\n4944 7387\n9722 14488\n42555 63918\n48496 72833\n86985 100000\n51096 76737\n10128 15103\n16267 24297\n65845 98753\n4229 6311\n90340 100000\n20460 30637\n53682 80571\n65100 97658\n50691 76137\n823 1214\n99883 100000\n2999 4464\n442 644\n92773 100000\n56164 84317\n11673 17422\n77894 100000\n91629 100000\n87172 100000\n74832 100000\n96198 100000\n96042 100000\n28126 42131\n73978 100000\n39365 59119\n69064 100000\n30015 44983\n1584 2372\n39880 59885\n22640 33889\n78654 100000\n20514 30718\n71947 100000\n57409 86193\n55150 82777\n83316 100000\n5350 7991\n26468 39631\n41787 62760\n33752 50646\n72533 100000\n13611 20341\n52748 79185\n75156 100000\n1981 2940\n19752 29566\n50592 75995\n77333 100000\n27159 40676\n40781 61243\n55281 82982\n86935 100000\n76761 100000\n9907 14773\n57441 86233\n55003 82558\n2117 3155\n43005 64599\n17133 25596\n47472 71307\n54409 81668\n36876 55344\n65193 97794\n79762 100000\n66056 99074\n45993 69057\n16375 24462\n78210 100000\n23799 35618\n72009 100000\n37133 55729\n18485 27630\n33757 50655\n90161 100000\n26307 39386\n66293 99422\n72466 100000\n95869 100000\n71785 100000\n65444 98166\n86843 100000\n9394 14012\n97905 100000\n18023 26930\n73555 100000\n24137 36114\n50975 76555\n49462 74295\n23012 34432\n31459 47177\n27041 40500\n23711 35484\n52893 79398\n25058 37514\n2643 3937\n52513 78829\n66227 99321\n20734 31051\n38568 57905\n7926 11812\n47395 71188\n65216 97825\n85637 100000\n48875 73409\n57448 86243\n32144 48203\n31497 47233\n98960 100000\n41926 62969\n10775 16074\n73515 100000\n71257 100000\n17487 26141\n8481 12639\n55303 83016\n58021 87102\n88222 100000\n61627 92474\n75142 100000\n1805 2686\n46006 69076\n28803 43166\n6938 10335\n94277 100000\n17288 25831\n88362 100000\n19410 29035\n74185 100000\n36797 55227\n90009 100000\n7182 10705\n36598 54920\n92163 100000\n33694 50560\n60211 90369\n15804 23616\n56308 84539\n63350 95035\n15735 23510\n37136 55732\n40280 60477\n98835 100000\n18295 27349\n35584 53400\n608 888\n62351 93569\n73352 100000\n65347 98023\n43501 65340\n6435 9580\n7716 11508\n92614 100000\n59930 89954\n78890 100000\n84486 100000\n87899 100000\n81914 100000\n28181 42220\n90250 100000\n7161 10673\n33422 50149\n76904 100000\n90071 100000\n90244 100000\n67888 100000\n16822 25132\n83138 100000\n85149 100000\n57109 85747\n13165 19678\n81066 100000\n10837 16168\n59894 89897\n49151 73824\n56402 84683\n55175 82811\n75351 100000\n57059 85668\n29171 43720\n63860 95804\n72768 100000\n20600 30844\n32174 48250\n18084 27025\n96127 100000\n37148 55748\n3505 5214\n44865 67367\n19738 29546\n92638 100000\n39161 58813\n2471 3674\n95521 100000\n15220 22725\n80821 100000\n72978 100000\n31941 47893\n32287 48415\n15544 23217\n53245 79921\n68317 100000\n73709 100000\n3913 5836\n43221 64934\n26878 40250\n56232 84417\n82585 100000\n42625 64025\n11850 17702\n8937 13321\n5544 8265\n85871 100000\n54253 81433\n85219 100000\n70941 100000\n86762 100000\n59382 89141\n17219 25731\n16193 24190\n25959 38852\n78692 100000\n16480 24620\n81594 100000\n61966 92983\n82072 100000\n18892 28247\n43989 66070\n53979 81026\n56739 85184\n36584 54899\n78534 100000\n95062 100000\n95744 100000\n71710 100000\n8405 12527\n98541 100000\n15797 23606\n29616 44382\n57373 86142\n37962 56969\n74597 100000\n74337 100000\n6007 8947\n21194 31732\n35418 53151\n48857 73381\n1301 1939\n75108 100000\n41779 62750\n40912 61436\n32531 48791\n20751 31076\n79472 100000\n20083 30065\n91046 100000\n21575 32306\n56895 85431\n26287 39352\n25622 38357\n82460 100000\n30189 45255\n6832 10168\n18345 27423\n26804 40136\n11312 16883\n42447 63767\n91095 100000\n16502 24654\n37880 56842\n10903 16266\n80109 100000\n27922 41838\n11934 17824\n30955 46423\n98852 100000\n31688 47522\n49547 74416\n45710 68635\n29519 44231\n46904 70435\n96973 100000\n47727 71700\n12784 19115\n33443 50181\n57515 86347\n38276 57459\n82241 100000\n36024 54076\n77479 100000\n76829 100000\n19028 28448\n5369 8016\n5104 7630\n89937 100000\n46223 69403\n91956 100000\n50426 75736\n23372 34982\n19536 29233\n99281 100000\n47329 71085\n56322 84561\n42138 63283\n65369 98055\n78795 100000\n60762 91191\n77106 100000\n13765 20566\n17327 25886\n97424 100000\n89373 100000\n97300 100000\n8950 13341\n90986 100000\n44258 66465\n16747 25018\n73650 100000\n8381 12491\n63665 95505\n17417 26029\n86484 100000\n8123 12108\n10613 15816\n70428 100000\n70550 100000\n49826 74843\n80994 100000\n62409 93652\n84284 100000\n80116 100000\n74684 100000\n86181 100000\n29604 44364\n40585 60945\n31412 47109\n8599 12814\n67633 100000\n27591 41339\n21756 32574\n6879 10241\n48686 73123\n58581 87948\n30187 45251\n14608 21812\n95326 100000\n51231 76944\n43347 65126\n5014 7496\n77480 100000\n64966 97458\n8593 12805\n72238 100000\n80093 100000\n15108 22553\n39536 59379\n50353 75623\n97995 100000\n49053 73681\n25017 37459\n69595 100000\n23706 35477\n9286 13854\n61765 92678\n72001 100000\n14335 21416\n29518 44229\n43197 64896\n70756 100000\n9478 14126\n55197 82845\n93761 100000\n46058 69149\n40396 60651\n27780 41622\n85319 100000\n61584 92410\n98879 100000\n23695 35459\n32175 48251\n25509 38188\n19942 29846\n25776 38586\n18889 28242\n26887 40262\n21175 31704\n2074 3084\n24235 36266\n76402 100000\n84342 100000\n17337 25902\n98684 100000\n26542 39743\n42163 63321\n60079 90176\n19168 28668\n63379 95076\n40374 60618\n90527 100000\n26247 39295\n86561 100000\n79653 100000\n46183 69340\n77361 100000\n91051 100000\n95175 100000\n60209 90367\n37061 55619\n40339 60561\n85777 100000\n94833 100000\n66601 99880\n39032 58617\n73254 100000\n29386 44039\n67432 100000\n32096 48130\n18749 28026\n58660 88071\n48364 72636\n70021 100000\n88231 100000\n90819 100000\n59789 89741\n87744 100000\n95058 100000\n24704 36981\n57851 86847\n50917 76466\n78359 100000\n12113 18098\n9950 14839\n48415 72708\n14011 20934\n67262 100000\n74098 100000\n60556 90879\n4796 7160\n67648 100000\n14960 22327\n94 129\n62163 93282\n96061 100000\n38456 57732\n9719 14483\n24601 36818\n46151 69293\n51252 76973\n71920 100000\n49556 74429\n85137 100000\n6380 9495\n20465 30643\n44251 66455\n52534 78860\n652 958\n41321 62067\n28182 42221\n84263 100000\n248 360\n67846 100000\n27320 40921\n14817 22120\n3723 5554\n36774 55193\n52842 79319\n88996 100000\n28317 42424\n46761 70220\n38748 58182\n18003 26899\n33524 50300\n52822 79290\n8045 11995\n71982 100000\n3616 5388\n31374 47051\n83875 100000\n99671 100000\n2400 3569\n82219 100000\n89880 100000\n92642 100000\n18331 27401\n16771 25058\n66398 99571\n38404 57656\n25298 37870\n53841 80817\n38718 58137\n40519 60847\n8120 12105\n9226 13757\n27842 41711\n64553 96849\n97682 100000\n47735 71714\n56534 84880\n51184 76870\n89175 100000\n4581 6850\n86520 100000\n60519 90822\n83400 100000\n57410 86195\n4916 7341\n90098 100000\n73116 100000\n67038 100000\n89500 100000\n96729 100000\n54974 82512\n59919 89935\n2003 2973\n44895 67410\n94504 100000\n54402 81658\n96296 100000\n77445 100000\n33051 49585\n77867 100000\n60043 90124\n18702 27951\n94346 100000\n81000 100000\n71008 100000\n51262 76989\n90599 100000\n89910 100000\n56425 84717\n23562 35262\n24846 37193\n12253 18306\n96246 100000\n68530 100000\n28733 43057\n20731 31045\n10065 15007\n55887 83913\n42616 64013\n35165 52777\n18429 27546\n71729 100000\n15817 23636\n13014 19447\n56837 85340\n593 866\n26200 39222\n80331 100000\n83430 100000\n53702 80600\n4518 6750\n50905 76450\n48311 72563\n84898 100000\n12276 18338\n49374 74161\n71472 100000\n97740 100000\n18201 27205\n61305 91993\n75122 100000\n99199 100000\n54516 81830\n41987 63061\n73977 100000\n71356 100000\n7481 11162\n98722 100000\n76065 100000\n52975 79523\n9119 13594\n66125 99165\n27964 41898\n70489 100000\n73869 100000\n14868 22191\n4241 6329\n47214 70913\n79187 100000\n32945 49426\n12479 18645\n63413 95125\n4687 6998\n40205 60361\n56667 85082\n29334 43962\n34327 51495\n93485 100000\n38263 57441\n58117 87249\n37516 56304\n70223 100000\n61366 92081\n88292 100000\n57986 87051\n68220 100000\n3878 5786\n692 1018\n4824 7201\n84537 100000\n31965 47930\n18947 28330\n26286 39350\n92784 100000\n6110 9088\n19604 29337\n23621 35346\n139 195\n50334 75593\n32788 49180\n61812 92750\n19309 28886\n6451 9608\n41794 62771\n69785 100000\n22500 33689\n96433 100000\n65271 97906\n62544 93852\n16663 24891\n67286 100000\n11838 17686\n75039 100000\n50694 76143\n87817 100000\n48313 72565\n33853 50799\n62557 93871\n59313 89036\n9704 14459\n66657 99966\n22609 33846\n99035 100000\n83931 100000\n49115 73772\n73875 100000\n69464 100000\n14174 21180\n53525 80336\n39043 58636\n28316 42422\n49061 73694\n21889 32774\n66230 99325\n39699 59619\n40804 61275\n33189 49797\n79190 100000\n82811 100000\n52015 78102\n25521 38206\n69095 100000\n14902 22240\n27289 40872\n36987 55508\n4105 6125\n90919 100000\n68396 100000\n44502 66833\n10136 15113\n58092 87212\n86652 100000\n59397 89163\n94556 100000\n21720 32523\n97897 100000\n56401 84682\n61409 92146\n31386 47066\n33125 49697\n58554 87907\n1748 2605\n67611 100000\n17958 26834\n80877 100000\n25722 38508\n24415 36533\n85709 100000\n94593 100000\n19109 28577\n35988 54019\n88144 100000\n24114 36081\n26748 40051\n35320 53006\n80488 100000\n91974 100000\n29640 44418\n39075 58685\n92972 100000\n29603 44362\n29484 44183\n90199 100000\n73422 100000\n72430 100000\n2318 3450\n28313 42417\n11992 17910\n86770 100000\n94145 100000\n23861 35710\n56754 85210\n4514 6743\n93427 100000\n68823 100000\n4092 6102\n55933 83983\n30742 46103\n44969 67523\n22443 33611\n59311 89033\n22570 33788\n77969 100000\n30452 45664\n71133 100000\n81710 100000\n78063 100000\n91970 100000\n88613 100000\n74462 100000\n34305 51464\n80157 100000\n98868 100000\n27572 41311\n49929 74990\n37950 56949\n6986 10405\n46166 69315\n95589 100000\n17325 25882\n28074 42059\n54192 81347\n33732 50615\n92777 100000\n86094 100000\n89153 100000\n72357 100000\n71172 100000\n50500 75850\n38731 58157\n95011 100000\n94516 100000\n63111 94676\n41661 62575\n27650 41426\n81111 100000\n56257 84458\n83647 100000\n72633 100000\n35113 52698\n30545 45804\n45036 67627\n58966 88524\n50325 75582\n1994 2960\n69801 100000\n42537 63891\n61107 91706\n29507 44214\n75645 100000\n92724 100000\n95541 100000\n31774 47639\n8473 12628\n84578 100000\n67071 100000\n74760 100000\n23114 34586\n69560 100000\n62624 93976\n86182 100000\n2677 3986\n57205 85894\n12174 18190\n57020 85612\n92000 100000\n87986 100000\n1483 2213\n3951 5894\n48281 72522\n4159 6209\n87329 100000\n30727 46077\n76813 100000\n93661 100000\n36293 54475\n50055 75180\n36868 55332\n95815 100000\n7350 10968\n97596 100000\n25520 38204\n24327 36406\n15898 23751\n17692 26437\n27009 40452\n85345 100000\n6061 9019\n47108 70747\n37115 55699\n18021 26928\n4951 7397\n49203 73900\n49074 73712\n33505 50272\n70548 100000\n69693 100000\n49867 74903\n70023 100000\n79479 100000\n59679 89580\n40013 60082\n37870 56829\n56601 84977\n51813 77809\n29586 44333\n4594 6864\n88920 100000\n26737 40035\n60486 90774\n73822 100000\n68979 100000\n50371 75648\n15077 22508\n52530 78855\n84203 100000\n68173 100000\n69819 100000\n65098 97656\n31351 47013\n21681 32464\n20891 31286\n67676 100000\n87048 100000\n5129 7669\n92417 100000\n51724 77672\n11779 17589\n5717 8521\n48868 73398\n83401 100000\n76576 100000\n22566 33781\n24121 36091\n7114 10603\n9247 13791\n41495 62321\n31917 47855\n44943 67483\n52367 78616\n14919 22266\n44814 67293\n60212 90371\n88433 100000\n49744 74721\n56127 84267\n56726 85169\n4443 6635\n38122 57215\n41215 61903\n50149 75321\n94678 100000\n68666 100000\n69849 100000\n46833 70329\n58020 87100\n64188 96288\n56804 85286\n21321 31918\n9632 14346\n42319 63573\n18546 27719\n28682 42984\n89106 100000\n68881 100000\n63854 95795\n9050 13489\n62386 93618\n23429 35070\n53191 79831\n26544 39747\n59330 89062\n54369 81606\n55642 83541\n8404 12526\n96663 100000\n2063 3066\n37690 56564\n17995 26885\n45729 68662\n83866 100000\n50551 75937\n17331 25893\n30684 46019\n24252 36293\n97852 100000\n87389 100000\n88042 100000\n96655 100000\n88115 100000\n4437 6626\n25477 38143\n2984 4441\n55212 82869\n81167 100000\n51855 77871\n44422 66716\n39663 59566\n75071 100000\n31170 46738\n54059 81143\n96691 100000\n33791 50707\n64950 97434\n44813 67292\n82171 100000\n64531 96812\n55357 83099\n89769 100000\n35095 52668\n94499 100000\n17642 26366\n38194 57326\n84580 100000\n18614 27818\n82080 100000\n84082 100000\n52780 79227\n83158 100000\n2244 3342\n20018 29967\n35943 53951\n36108 54207\n94063 100000\n27458 41129\n60491 90782\n45150 67792\n11605 17324\n31011 46503\n53784 80727\n61048 91620\n14069 21020\n55745 83698\n95024 100000\n96542 100000\n69669 100000\n6148 9149\n90061 100000\n36521 54810\n23945 35833\n66823 100000\n33277 49922\n31927 47871\n47775 71774\n48160 72340\n85757 100000\n33073 49620\n77920 100000\n19283 28846\n2204 3281\n9511 14175\n99652 100000\n49939 75002\n9902 14766\n83827 100000\n43793 65766\n55634 83530\n57804 86776\n19875 29747\n82597 100000\n77773 100000\n54172 81318\n92630 100000\n22453 33625\n95431 100000\n32699 49048\n39550 59400\n71612 100000\n4575 6842\n53934 80958\n69123 100000\n29217 43790\n39391 59159\n35462 53217\n8957 13352\n28813 43182\n77318 100000\n46909 70443\n96587 100000\n43958 66021\n14663 21897\n79414 100000\n890 1310\n78872 100000\n75478 100000\n44077 66197\n32093 48127\n72447 100000\n94545 100000\n83455 100000\n92131 100000\n6401 9528\n14565 21752\n61948 92956\n80245 100000\n45988 69050\n59071 88678\n47094 70724\n10446 15564\n89030 100000\n32904 49366\n81521 100000\n93522 100000\n33244 49876\n82204 100000\n59127 88760\n74665 100000\n16291 24331\n23821 35653\n56119 84254\n87238 100000\n74578 100000\n15388 22980\n89541 100000\n79501 100000\n47622 71541\n13204 19737\n28934 43367\n60089 90189\n37783 56697\n49031 73648\n49885 74932\n10486 15622\n98915 100000\n203 296\n79026 100000\n37144 55744\n48175 72363\n64644 96986\n45999 69065\n20158 30174\n97325 100000\n89133 100000\n6627 9864\n84696 100000\n73719 100000\n42984 64571\n83144 100000\n20338 30461\n82041 100000\n26202 39225\n90479 100000\n64827 97252\n62939 94436\n54332 81553\n29090 43598\n70716 100000\n36534 54831\n45842 68832\n97065 100000\n79203 100000\n4122 6151\n36750 55154\n49677 74616\n34290 51441\n13304 19889\n75380 100000\n41843 62847\n42777 64251\n33766 50670\n44299 66522\n90773 100000\n69427 100000\n19359 28961\n66612 99897\n26014 38944\n88792 100000\n50467 75801\n35804 53741\n23252 34797\n70844 100000\n92238 100000\n32271 48391\n44914 67437\n46009 69080\n32070 48091\n35864 53832\n77071 100000\n20274 30355\n92255 100000\n49455 74285\n26771 40089\n26958 40374\n8459 12606\n88227 100000\n94875 100000\n96669 100000\n30741 46101\n77548 100000\n89382 100000\n87970 100000\n85270 100000\n64590 96903\n39552 59402\n45790 68754\n60249 90426\n33723 50600\n11993 17912\n42841 64347\n48880 73416\n35451 53203\n73658 100000\n27427 41082\n96944 100000\n87264 100000\n85855 100000\n39246 58931\n51256 76980\n14759 22036\n19303 28874\n45873 68874\n13390 20014\n3769 5621\n22591 33821\n79023 100000\n87945 100000\n97857 100000\n87382 100000\n67758 100000\n86722 100000\n54937 82458\n79947 100000\n72565 100000\n56489 84809\n75995 100000\n29398 44056\n6088 9058\n20967 31399\n96060 100000\n77406 100000\n94321 100000\n74203 100000\n32953 49438\n42568 63941\n94436 100000\n39747 59692\n68805 100000\n25165 37673\n95166 100000\n22668 33933\n12820 19163\n26831 40179\n99247 100000\n79409 100000\n39602 59479\n88481 100000\n30850 46265\n11042 16481\n24048 35990\n81842 100000\n305 444\n23098 34559\n97620 100000\n78036 100000\n52836 79312\n37772 56681\n43466 65296\n42272 63495\n38361 57595\n78272 100000\n70167 100000\n21217 31766\n18218 27233\n22662 33923\n93438 100000\n24788 37102\n76089 100000\n58272 87481\n25224 37761\n87669 100000\n53103 79697\n31598 47388\n78866 100000\n4752 7096\n62672 94046\n37359 56061\n33423 50150\n48503 72844\n79062 100000\n86775 100000\n80241 100000\n63618 95434\n89977 100000\n19874 29745\n27497 41192\n78657 100000\n12274 18334\n74364 100000\n63501 95260\n84027 100000\n98346 100000\n5552 8276\n6855 10204\n24770 37078\n27038 40496\n73870 100000\n5210 7787\n35200 52828\n18075 27011\n94800 100000\n62594 93927\n28101 42095\n29630 44403\n66380 99548\n29058 43554\n52566 78908\n43504 65346\n34593 51911\n49529 74390\n46475 69787\n63954 95944\n10494 15635\n18096 27043\n34769 52182\n5340 7977\n272 396\n94858 100000\n24428 36555\n12511 18695\n67485 100000\n30016 44985\n31332 46985\n70081 100000\n52540 78867\n66374 99541\n72031 100000\n78953 100000\n24117 36085\n8835 13164\n34669 52025\n3128 4652\n47242 70955\n83311 100000\n42198 63374\n49893 74940\n10718 15982\n26195 39214\n41957 63018\n16172 24155\n94318 100000\n19981 29906\n88079 100000\n9393 14010\n13820 20649\n11286 16846\n94497 100000\n90985 100000\n78610 100000\n52137 78279\n64607 96932\n30033 45012\n98009 100000\n87393 100000\n85496 100000\n80230 100000\n57687 86601\n16297 24342\n56476 84793\n10035 14966\n63086 94643\n68856 100000\n15047 22461\n16416 24522\n9197 13710\n81195 100000\n60425 90685\n42493 63831\n71617 100000\n98090 100000\n52611 78978\n69806 100000\n11583 17294\n49500 74350\n57873 86879\n70306 100000\n11599 17317\n25003 37439\n27117 40614\n6603 9830\n56155 84305\n91238 100000\n93815 100000\n17175 25666\n29321 43945\n37682 56552\n24375 36479\n23733 35520\n44937 67471\n56336 84584\n67984 100000\n75570 100000\n15356 22926\n11098 16566\n3263 4852\n96441 100000\n12885 19255\n72685 100000\n22857 34203\n47831 71852\n71675 100000\n3507 5218\n59011 88591\n5309 7930\n97851 100000\n31622 47424\n81350 100000\n29131 43656\n94273 100000\n55108 82717\n20580 30815\n64864 97307\n39569 59428\n39833 59818\n5648 8417\n1681 2505\n58743 88196\n8296 12360\n59657 89551\n64673 97029\n77418 100000\n72258 100000\n15180 22666\n51332 77096\n21522 32224\n80704 100000\n14493 21640\n84158 100000\n99123 100000\n40616 60995\n64507 96773\n39829 59812\n88258 100000\n70227 100000\n31222 46819\n34476 51725\n73990 100000\n98004 100000\n98878 100000\n1571 2352\n96833 100000\n98482 100000\n75702 100000\n95389 100000\n57696 86616\n34826 52265\n63842 95777\n39511 59343\n29266 43859\n86694 100000\n40652 61049\n44113 66249\n45418 68196\n87601 100000\n9017 13442\n88861 100000\n3759 5606\n85652 100000\n14805 22104\n49522 74381\n25088 37559\n393 575\n76960 100000\n90920 100000\n34308 51468\n66294 99423\n30489 45721\n50101 75252\n46871 70387\n64616 96945\n66541 99787\n17711 26463\n96341 100000\n3330 4947\n55946 84001\n19416 29044\n91007 100000\n52279 78488\n75984 100000\n72809 100000\n84952 100000\n54616 81978\n4350 6495\n48748 73217\n75278 100000\n55138 82759\n53726 80636\n89810 100000\n19215 28740\n77009 100000\n3489 5189\n86365 100000\n95334 100000\n20752 31078\n93273 100000\n23946 35835\n3195 4754\n32915 49385\n56389 84666\n29137 43665\n80139 100000\n51288 77028\n27843 41713\n67256 100000\n15372 22954\n87102 100000\n88598 100000\n92538 100000\n74159 100000\n64012 96031\n78965 100000\n24089 36046\n90481 100000\n97110 100000\n6965 10373\n33521 50296\n42530 63883\n13885 20751\n64373 96565\n90459 100000\n81427 100000\n41726 62670\n77231 100000\n791 1166\n88498 100000\n27794 41643\n91615 100000\n52420 78691\n59334 89069\n52231 78419\n28342 42465\n18881 28228\n36735 55131\n87020 100000\n80962 100000\n87747 100000\n92026 100000\n84003 100000\n98133 100000\n92349 100000\n46061 69155\n80277 100000\n80584 100000\n92600 100000\n49864 74898\n68645 100000\n23987 35899\n51345 77115\n33642 50487\n83659 100000\n78056 100000\n53002 79561\n34392 51595\n58522 87857\n63820 95746\n77458 100000\n60851 91327\n5416 8087\n50216 75414\n46236 69423\n15876 23720\n60227 90395\n58423 87704\n84154 100000\n36906 55389\n97124 100000\n28610 42881\n64710 97081\n8294 12358\n92450 100000\n74237 100000\n40699 61123\n23735 35523\n10146 15126\n8988 13399\n93383 100000\n23309 34879\n2358 3505\n11532 17221\n34206 51321\n22625 33868\n1205 1796\n78247 100000\n81578 100000\n57362 86123\n54942 82467\n54645 82023\n40780 61241\n77696 100000\n46748 70201\n25369 37979\n55851 83863\n31505 47243\n87281 100000\n70921 100000\n1234 1838\n73145 100000\n37827 56763\n89163 100000\n80995 100000\n50316 75566\n80188 100000\n35045 52588\n24884 37251\n86925 100000\n84391 100000\n4465 6665\n20432 30599\n60875 91365\n45323 68054\n4375 6531\n34313 51474\n82473 100000\n28176 42212\n86363 100000\n43190 64887\n94019 100000\n51595 77484\n89082 100000\n18912 28278\n87476 100000\n59017 88598\n70890 100000\n37297 55966\n7001 10428\n51719 77666\n55988 84060\n63610 95421\n6755 10053\n18148 27129\n66034 99042\n61713 92602\n97882 100000\n73663 100000\n7012 10443\n49968 75045\n79689 100000\n7629 11383\n14896 22232\n3032 4510\n54607 81966\n94489 100000\n74996 100000\n81360 100000\n58648 88053\n64130 96206\n49012 73619\n64379 96576\n67354 100000\n8509 12681\n81693 100000\n21921 32822\n56731 85174\n15056 22475\n10328 15399\n40453 60739\n95023 100000\n3388 5035\n94821 100000\n64782 97185\n93733 100000\n35691 53564\n59901 89908\n15234 22747\n26841 40195\n53785 80729\n24019 35947\n97537 100000\n71333 100000\n53327 80043\n36955 55458\n56653 85061\n19027 28447\n74209 100000\n33174 49774\n13923 20802\n3164 4709\n12204 18234\n80433 100000\n50400 75693\n26801 40132\n94929 100000\n74100 100000\n14757 22032\n70103 100000\n99229 100000\n32889 49347\n4808 7178\n12816 19157\n1534 2293\n5894 8779\n75705 100000\n84211 100000\n75534 100000\n77751 100000\n30286 45408\n64852 97290\n45986 69047\n46711 70149\n88075 100000\n53318 80028\n6543 9742\n58472 87775\n82033 100000\n16330 24391\n18636 27849\n90803 100000\n84562 100000\n22740 34039\n24345 36432\n97583 100000\n21166 31689\n54594 81949\n11212 16729\n5659 8434\n85435 100000\n87690 100000\n40735 61176\n14214 21241\n37673 56537\n53178 79808\n32121 48169\n95189 100000\n74618 100000\n88204 100000\n43285 65031\n37616 56455\n65342 98016\n49475 74312\n45773 68728\n9566 14250\n62181 93311\n5707 8509\n99737 100000\n88877 100000\n6386 9505\n37191 55814\n14049 20989\n13783 20592\n46992 70568\n81179 100000\n49448 74272\n22080 33064\n42215 63405\n94401 100000\n25307 37882\n57691 86608\n18969 28365\n62866 94335\n99520 100000\n53754 80679\n1244 1853\n52151 78300\n12347 18447\n6720 9995\n6758 10058\n11735 17520\n40126 60241\n29807 44672\n34255 51390\n7959 11863\n87922 100000\n59179 88837\n30914 46359\n18634 27845\n33213 49835\n63234 94863\n48799 73294\n34872 52329\n46247 69440\n70605 100000\n20077 30055\n21470 32149\n44282 66500\n79884 100000\n43080 64711\n28387 42531\n38847 58342\n29549 44276\n16834 25148\n17370 25954\n3714 5540\n72490 100000\n80873 100000\n32742 49109\n62396 93633\n11584 17295\n93375 100000\n47666 71608\n53715 80618\n83552 100000\n38382 57626\n93056 100000\n35991 54024\n93367 100000\n81863 100000\n62861 94327\n87967 100000\n30029 45006\n92180 100000\n82655 100000\n21496 32186\n94938 100000\n42908 64451\n2298 3420\n77316 100000\n84269 100000\n4211 6286\n27590 41338\n95707 100000\n78853 100000\n30643 45956\n38158 57270\n56284 84502\n34550 51839\n7411 11062\n35126 52718\n36580 54894\n10399 15496\n2068 3073\n84605 100000\n76250 100000\n29983 44933\n27913 41824\n16872 25206\n50286 75519\n90144 100000\n82071 100000\n90641 100000\n54825 82292\n62658 94025\n46410 69688\n36573 54882\n93025 100000\n13293 19873\n5017 7499\n59719 89638\n66866 100000\n26475 39642\n79707 100000\n43582 65457\n73739 100000\n13761 20561\n74527 100000\n17085 25520\n56618 85003\n27220 40766\n82640 100000\n1400 2086\n72658 100000\n41899 62930\n88880 100000\n13836 20673\n29328 43954\n56414 84701\n22351 33472\n69909 100000\n98227 100000\n12717 19015\n90236 100000\n64723 97101\n59796 89752\n60383 90621\n48394 72677\n88787 100000\n82504 100000\n96618 100000\n31073 46592\n32863 49304\n63645 95475\n1645 2457\n13879 20740\n52073 78186\n80605 100000\n32791 49185\n46443 69739\n69769 100000\n10546 15711\n82 115\n85864 100000\n57296 86027\n52892 79396\n93120 100000\n79553 100000\n74166 100000\n98780 100000\n72326 100000\n22551 33761\n53868 80859\n22040 32999\n11651 17391\n42590 63975\n44558 66910\n41672 62587\n34023 51047\n82442 100000\n72335 100000\n90509 100000\n24423 36547\n16880 25221\n7372 11000\n5213 7792\n55517 83343\n19462 29118\n28897 43308\n31064 46577\n89480 100000\n14340 21422\n1308 1950\n72995 100000\n94097 100000\n92590 100000\n38366 57602\n81035 100000\n62892 94371\n65619 98420\n32006 47996\n13616 20348\n20829 31191\n418 611\n50932 76489\n86205 100000\n26853 40211\n69167 100000\n80620 100000\n41026 61615\n37033 55579\n13704 20479\n59792 89745\n31802 47680\n9669 14404\n88882 100000\n10309 15369\n88910 100000\n61037 91604\n4095 6108\n66133 99175\n53480 80270\n74454 100000\n457 669\n54814 82278\n59604 89470\n71605 100000\n77628 100000\n64148 96230\n42006 63085\n31077 46599\n82014 100000\n61509 92303\n84598 100000\n23366 34972\n84554 100000\n21435 32092\n3268 4860\n96299 100000\n64755 97145\n86947 100000\n26152 39146\n99014 100000\n83375 100000\n11737 17522\n73337 100000\n84559 100000\n39011 58587\n38419 57680\n10492 15631\n97646 100000\n73063 100000\n53783 80726\n30600 45890\n8359 12456\n54939 82462\n3756 5602\n12900 19277\n9871 14714\n88416 100000\n19120 28594\n42467 63793\n88776 100000\n58984 88551\n2474 3679\n73351 100000\n29389 44043\n8532 12715\n10421 15527\n40593 60958\n2817 4199\n23028 34455\n10847 16184\n6525 9717\n25969 38867\n79040 100000\n76917 100000\n27348 40961\n17206 25712\n35098 52674\n80099 100000\n93913 100000\n68865 100000\n58289 87506\n17902 26745\n83824 100000\n26632 39878\n13171 19686\n20494 30685\n67123 100000\n16992 25384\n5440 8120\n89727 100000\n97251 100000\n41073 61690\n17375 25963\n62611 93955\n5147 7695\n37104 55682\n66855 100000\n17981 26869\n89620 100000\n93173 100000\n42805 64291\n15637 23365\n25927 38806\n1081 1600\n71591 100000\n5045 7540\n5113 7644\n60909 91418\n54851 82329\n49821 74836\n80707 100000\n10324 15393\n61419 92159\n51953 78010\n5566 8296\n29225 43803\n14476 21618\n2819 4202\n63814 95738\n97953 100000\n42404 63706\n44132 66277\n92300 100000\n42029 63120\n62927 94422\n92950 100000\n40112 60220\n79856 100000\n13709 20485\n42995 64585\n58933 88477\n648 953\n27825 41686\n15008 22397\n11433 17068\n68907 100000\n48872 73404\n67041 100000\n4040 6023\n56981 85554\n56892 85426\n74630 100000\n82023 100000\n12475 18641\n66059 99079\n56202 84373\n973 1441\n82549 100000\n95733 100000\n35810 53750\n53088 79676\n63474 95219\n95683 100000\n44704 67130\n49717 74679\n48881 73418\n93704 100000\n71104 100000\n75784 100000\n345 506\n22590 33819\n37195 55820\n67854 100000\n52010 78094\n16418 24526\n60058 90145\n80 113\n23093 34551\n70985 100000\n10143 15121\n93666 100000\n78286 100000\n44402 66683\n6952 10354\n23229 34765\n11824 17665\n39109 58731\n83443 100000\n80890 100000\n83128 100000\n26026 38959\n95834 100000\n22120 33124\n47177 70855\n23631 35363\n23776 35582\n37325 56007\n19233 28768\n4381 6542\n53796 80746\n54256 81437\n5135 7679\n34741 52141\n81900 100000\n54879 82370\n20245 30307\n77956 100000\n43535 65389\n19407 29031\n59371 89124\n90562 100000\n26079 39035\n98013 100000\n11604 17323\n47547 71425\n58848 88352\n7771 11585\n97941 100000\n27516 41223\n97286 100000\n99326 100000\n99085 100000\n39792 59760\n94416 100000\n93381 100000\n65650 98460\n6819 10150\n31319 46965\n68141 100000\n42962 64535\n99718 100000\n26146 39138\n39957 59998\n21826 32678\n45029 67615\n84075 100000\n2986 4444\n64163 96253\n67539 100000\n84464 100000\n40092 60196\n30475 45699\n53852 80833\n98492 100000\n48562 72931\n45037 67629\n88064 100000\n74371 100000\n14667 21905\n93037 100000\n56344 84595\n50442 75760\n42070 63178\n54095 81204\n98259 100000\n61112 91713\n41168 61830\n21105 31599\n7294 10879\n63970 95967\n17508 26172\n96757 100000\n89045 100000\n79096 100000\n3799 5672\n13474 20137\n9697 14450\n52197 78370\n66862 100000\n98137 100000\n61914 92909\n49552 74423\n14263 21311\n25184 37704\n68727 100000\n28085 42073\n8433 12565\n83227 100000\n94856 100000\n97585 100000\n39937 59971\n1580 2366\n62198 93334\n51914 77952\n20074 30052\n90658 100000\n99497 100000\n73201 100000\n52123 78259\n88626 100000\n12940 19336\n18354 27436\n31175 46745\n1460 2177\n43904 65938\n21386 32014\n10375 15461\n33439 50175\n70879 100000\n3148 4685\n75880 100000\n40285 60486\n58958 88515\n42130 63273\n86292 100000\n76126 100000\n1821 2709\n40649 61044\n43626 65524\n88675 100000\n59118 88745\n73214 100000\n49370 74155\n53742 80662\n27080 40560\n58388 87655\n58158 87308\n37712 56594\n38607 57968\n36828 55276\n66491 99718\n49810 74819\n47704 71666\n42275 63500\n84931 100000\n59107 88728\n23020 34442\n77814 100000\n78033 100000\n35571 53382\n18056 26980\n95328 100000\n30098 45108\n48669 73096\n50222 75422\n92727 100000\n88243 100000\n56860 85375\n4137 6172\n13782 20590\n34712 52094\n13055 19510\n77134 100000\n86280 100000\n10095 15056\n36999 55528\n28100 42094\n5606 8353\n19380 28995\n92126 100000\n40936 61474\n68686 100000\n79838 100000\n33508 50275\n41543 62402\n89132 100000\n90822 100000\n37822 56757\n22402 33549\n39583 59449\n95285 100000\n95585 100000\n9294 13865\n97046 100000\n1173 1744\n12635 18883\n16635 24849\n75186 100000\n47292 71031\n54066 81155\n5012 7494\n24678 36943\n40661 61063\n16661 24887\n73044 100000\n7263 10832\n41485 62304\n75223 100000\n78304 100000\n26366 39477\n95451 100000\n84148 100000\n86857 100000\n67533 100000\n39830 59814\n25749 38546\n51236 76951\n89080 100000\n97993 100000\n24521 36698\n61872 92845\n28799 43158\n82115 100000\n32333 48488\n80178 100000\n70800 100000\n86327 100000\n77227 100000\n61313 92006\n94898 100000\n58825 88317\n73806 100000\n86783 100000\n72442 100000\n89120 100000\n89329 100000\n1027 1518\n22363 33492\n36766 55178\n70683 100000\n78917 100000\n37312 55988\n145 203\n60922 91437\n95376 100000\n81927 100000\n12775 19105\n16739 25004\n57793 86756\n69948 100000\n54380 81624\n49685 74629\n25747 38544\n89309 100000\n25725 38513\n14736 21999\n61972 92991\n13797 20612\n50729 76193\n22225 33279\n8155 12162\n99452 100000\n30060 45051\n53388 80134\n79471 100000\n98860 100000\n78456 100000\n15762 23553\n58814 88302\n19862 29726\n17225 25738\n50146 75316\n33671 50527\n7029 10468\n59501 89319\n91397 100000\n44939 67475\n2828 4216\n66863 100000\n38378 57620\n41287 62010\n19917 29810\n68954 100000\n87174 100000\n72762 100000\n51064 76686\n77770 100000\n74322 100000\n52446 78730\n8039 11986\n32176 48252\n36197 54339\n53698 80594\n79652 100000\n38033 57079\n49023 73637\n51063 76685\n78687 100000\n43553 65414\n49854 74885\n65926 98875\n53321 80033\n155 217\n8249 12297\n34845 52292\n87679 100000\n90622 100000\n99423 100000\n19475 29138\n11095 16561\n67695 100000\n98242 100000\n90147 100000\n21315 31910\n13411 20048\n14339 21421\n4640 6928\n88406 100000\n62744 94152\n71285 100000\n63650 95483\n79354 100000\n92340 100000\n74543 100000\n96278 100000\n17904 26749\n84420 100000\n46290 69509\n77350 100000\n83177 100000\n95396 100000\n56536 84883\n5571 8302\n68127 100000\n48834 73346\n18523 27686\n98942 100000\n55340 83075\n2129 3173\n94342 100000\n94803 100000\n93163 100000\n18793 28096\n88916 100000\n89036 100000\n75618 100000\n98555 100000\n87596 100000\n66096 99126\n42426 63738\n58362 87613\n77495 100000\n51395 77195\n20540 30754\n16381 24470\n5305 7925\n3475 5168\n56829 85326\n97208 100000\n8558 12750\n55951 84008\n87977 100000\n96135 100000\n96272 100000\n89476 100000\n75847 100000\n9135 13618\n13180 19701\n57741 86676\n31331 46983\n44486 66809\n32774 49159\n40160 60293\n51536 77398\n32042 48050\n3419 5080\n73130 100000\n16239 24255\n91699 100000\n85472 100000\n62890 94367\n42663 64079\n65546 98319\n22200 33244\n66430 99620\n75419 100000\n92179 100000\n59650 89539\n41132 61777\n82935 100000\n27882 41774\n71150 100000\n4895 7315\n30262 45368\n50376 75654\n37035 55582\n23043 34475\n35533 53326\n25730 38519\n95653 100000\n42019 63104\n17825 26627\n7833 11677\n16799 25098\n16230 24242\n71902 100000\n94765 100000\n45019 67600\n50827 76343\n54086 81189\n70776 100000\n16965 25340\n22155 33177\n93735 100000\n65349 98025\n10070 15017\n14922 22271\n8437 12572\n96144 100000\n92182 100000\n6797 10118\n63682 95532\n13746 20541\n27813 41669\n72630 100000\n85498 100000\n20907 31311\n31502 47238\n80976 100000\n57651 86548\n68983 100000\n39909 59926\n74474 100000\n35282 52949\n42919 64467\n58964 88521\n68759 100000\n58881 88398\n92192 100000\n54483 81779\n58800 88278\n43833 65829\n94917 100000\n84964 100000\n95381 100000\n18657 27885\n33943 50927\n73300 100000\n28030 41991\n44350 66602\n20215 30260\n59765 89705\n77135 100000\n51887 77913\n17868 26691\n13207 19742\n26110 39086\n12238 18286\n45382 68139\n31572 47350\n54980 82523\n77024 100000\n45847 68837\n99113 100000\n22990 34401\n92362 100000\n29782 44635\n45883 68892\n16244 24262\n16985 25370\n93752 100000\n76035 100000\n49696 74648\n81421 100000\n75771 100000\n20861 31241\n71440 100000\n27982 41925\n40777 61235\n16412 24517\n30263 45370\n62956 94460\n52306 78527\n34041 51077\n35928 53926\n3782 5643\n33796 50714\n44978 67536\n68883 100000\n85176 100000\n5212 7791\n57997 87068\n93355 100000\n65186 97784\n50497 75847\n3996 5961\n563 827\n52067 78176\n67661 100000\n56738 85183\n35120 52709\n51590 77476\n45298 68017\n30910 46353\n56575 84939\n59954 89991\n43952 66009\n53601 80452\n20234 30290\n83025 100000\n23870 35721\n11571 17275\n82196 100000\n78299 100000\n32617 48920\n8777 13074\n16372 24458\n97649 100000\n44341 66589\n57877 86885\n30823 46225\n58721 88165\n39766 59720\n17097 25540\n3480 5176\n93974 100000\n7525 11227\n55552 83403\n70126 100000\n69202 100000\n11090 16555\n13088 19565\n51479 77316\n5198 7766\n22069 33048\n92650 100000\n38518 57830\n55470 83272\n37245 55898\n9564 14247\n70488 100000\n70631 100000\n3558 5297\n83486 100000\n6984 10401\n80098 100000\n57718 86645\n71310 100000\n29706 44521\n51375 77161\n86184 100000\n32476 48713\n98747 100000\n27083 40565\n75121 100000\n13149 19654\n19121 28595\n84839 100000\n83767 100000\n60155 90291\n9126 13605\n57411 86197\n56882 85410\n19206 28724\n60839 91309\n52962 79503\n4567 6830\n25832 38669\n98452 100000\n42238 63444\n55493 83307\n82468 100000\n21619 32371\n58983 88550\n61596 92426\n89165 100000\n84602 100000\n56216 84393\n20513 30717\n86348 100000\n94392 100000\n14536 21711\n41629 62526\n18279 27326\n32878 49329\n76697 100000\n26096 39064\n72060 100000\n62197 93332\n17795 26583\n89613 100000\n35657 53509\n84617 100000\n47818 71833\n52732 79161\n68200 100000\n89931 100000\n38554 57884\n91616 100000\n3430 5099\n86906 100000\n19700 29489\n82213 100000\n95241 100000\n18643 27862\n95679 100000\n59703 89617\n76664 100000\n33843 50782\n84273 100000\n36143 54259\n52775 79220\n44407 66692\n21268 31845\n31022 46518\n95414 100000\n65770 98643\n55247 82925\n50232 75435\n62620 93970\n98575 100000\n85655 100000\n17293 25838\n5674 8458\n52945 79478\n86077 100000\n44757 67210\n49361 74141\n3584 5335\n76563 100000\n9427 14062\n97190 100000\n16955 25325\n22182 33217\n59066 88671\n16204 24204\n79936 100000\n19928 29825\n9984 14888\n22081 33065\n65811 98706\n27539 41260\n95755 100000\n35332 53025\n63888 95845\n16078 24019\n77649 100000\n82751 100000\n434 633\n22020 32974\n21865 32740\n95685 100000\n68166 100000\n55066 82652\n68193 100000\n5253 7848\n67792 100000\n21014 31467\n97141 100000\n6297 9370\n51937 77987\n14252 21294\n521 772\n86856 100000\n62983 94498\n62116 93211\n38485 57779\n87656 100000\n44305 66532\n77741 100000\n74053 100000\n52308 78529\n92850 100000\n2541 3783\n35212 52848\n56166 84320\n27119 40618\n90598 100000\n31060 46571\n38552 57881\n25113 37596\n17058 25480\n97390 100000\n47049 70656\n36841 55297\n11386 16999\n74815 100000\n1558 2329\n41727 62671\n11141 16627\n79554 100000\n67507 100000\n22046 33009\n94365 100000\n51309 77060\n75533 100000\n35065 52621\n33410 50132\n92257 100000\n8415 12539\n87406 100000\n44067 66184\n23060 34500\n59456 89251\n67755 100000\n68578 100000\n60134 90260\n68770 100000\n35194 52819\n59710 89625\n7631 11387\n27639 41409\n31119 46663\n72957 100000\n21442 32103\n26827 40171\n52225 78410\n74645 100000\n34656 52004\n96906 100000\n15867 23709\n13370 19985\n47416 71215\n10008 14924\n8936 13320\n27284 40864\n85669 100000\n39049 58646\n39486 59310\n75301 100000\n44301 66526\n52216 78398\n1592 2382\n37031 55576\n64398 96601\n705 1037\n96738 100000\n68343 100000\n2914 4343\n92658 100000\n95800 100000\n65924 98871\n28779 43129\n83972 100000\n69484 100000\n28320 42430\n62016 93058\n72147 100000\n24654 36901\n94896 100000\n69253 100000\n45009 67583\n5898 8785\n25362 37969\n58937 88482\n2175 3241\n97544 100000\n74105 100000\n17350 25924\n73716 100000\n20713 31017\n26189 39203\n27351 40967\n61640 92494\n35913 53905\n93391 100000\n49331 74095\n97671 100000\n38068 57130\n15729 23501\n37237 55885\n22174 33204\n53736 80653\n55911 83950\n85687 100000\n10949 16338\n31174 46744\n9218 13743\n55497 83313\n83272 100000\n88735 100000\n62167 93288\n99579 100000\n91854 100000\n78358 100000\n47603 71512\n56823 85316\n52008 78091\n6367 9477\n52713 79134\n6417 9551\n39828 59811\n85902 100000\n67869 100000\n64355 96536\n45143 67782\n26372 39488\n79293 100000\n50539 75919\n85497 100000\n88577 100000\n48914 73467\n38229 57386\n95547 100000\n39566 59424\n55044 82616\n56329 84571\n28337 42458\n61984 93008\n83808 100000\n91492 100000\n74335 100000\n61995 93024\n22451 33622\n75190 100000\n58285 87502\n44963 67513\n48310 72562\n50746 76219\n46989 70562\n11546 17239\n39673 59582\n20236 30293\n52985 79536\n27477 41161\n82232 100000\n55868 83887\n85248 100000\n48256 72487\n48738 73202\n88606 100000\n81364 100000\n56628 85021\n149 208\n88013 100000\n92895 100000\n97734 100000\n82218 100000\n55492 83306\n18144 27123\n32407 48603\n51836 77843\n76470 100000\n68984 100000\n33740 50625\n36632 54974\n52867 79356\n60118 90234\n27173 40700\n79093 100000\n10267 15306\n71503 100000\n70481 100000\n26689 39963\n99348 100000\n20058 30027\n28876 43277\n91142 100000\n13049 19499\n96758 100000\n82295 100000\n47052 70660\n12395 18524\n51957 78017\n39112 58735\n10130 15106\n21905 32799\n82872 100000\n75381 100000\n19568 29281\n31959 47919\n75140 100000\n62657 94023\n31803 47682\n29877 44773\n98020 100000\n31768 47632\n20942 31363\n31667 47494\n1898 2823\n97756 100000\n60099 90203\n11080 16540\n93300 100000\n33092 49647\n21805 32647\n47308 71052\n99540 100000\n93107 100000\n95147 100000\n13561 20261\n38977 58535\n47417 71217\n60997 91540\n82320 100000\n88247 100000\n76936 100000\n89758 100000\n43025 64629\n17200 25704\n69709 100000\n21459 32130\n49564 74444\n3440 5114\n49639 74558\n40710 61140\n38642 58019\n93603 100000\n91718 100000\n71932 100000\n55787 83766\n8646 12883\n8233 12275\n39607 59486\n80346 100000\n91798 100000\n66979 100000\n15980 23872\n67951 100000\n26988 40421\n5456 8139\n39395 59166\n77893 100000\n86006 100000\n4763 7110\n34133 51208\n48629 73031\n39397 59169\n26197 39217\n13632 20373\n37398 56126\n74765 100000\n79289 100000\n70230 100000\n62954 94458\n10287 15335\n30050 45037\n42109 63239\n73040 100000\n86378 100000\n33345 50035\n79179 100000\n12580 18801\n7608 11352\n56685 85110\n92689 100000\n22721 34011\n33177 49778\n27996 41943\n72155 100000\n72948 100000\n11601 17320\n51877 77899\n65812 98707\n23779 35588\n71896 100000\n35749 53655\n71405 100000\n32892 49350\n62157 93273\n79669 100000\n48610 73003\n49338 74105\n78122 100000\n66142 99188\n14345 21429\n95216 100000\n88192 100000\n83798 100000\n48808 73309\n97836 100000\n49432 74249\n68575 100000\n32948 49429\n48296 72541\n45904 68923\n93287 100000\n30613 45909\n55156 82787\n35180 52799\n20258 30328\n47961 72044\n3041 4524\n94442 100000\n86199 100000\n43500 65338\n85272 100000\n38691 58097\n27868 41752\n63596 95400\n20309 30415\n40263 60451\n94744 100000\n65223 97836\n9683 14425\n10495 15636\n54043 81119\n22905 34272\n55452 83246\n74278 100000\n79686 100000\n74402 100000\n94843 100000\n88249 100000\n28497 42712\n46160 69307\n40403 60662\n98431 100000\n88316 100000\n64833 97262\n68447 100000\n97624 100000\n99392 100000\n77515 100000\n76737 100000\n17020 25425\n24146 36129\n10306 15364\n49196 73890\n18907 28270\n81087 100000\n95044 100000\n60093 90196\n28590 42847\n91155 100000\n64116 96185\n58338 87578\n92129 100000\n41702 62633\n82587 100000\n7998 11925\n53604 80456\n86848 100000\n64280 96430\n96560 100000\n56622 85010\n37159 55766\n23459 35115\n45144 67784\n19800 29637\n36247 54412\n25212 37743\n27812 41667\n6702 9972\n49834 74854\n36063 54139\n63324 94996\n33814 50738\n75634 100000\n48824 73334\n96733 100000\n52054 78156\n60146 90276\n59561 89405\n75013 100000\n83585 100000\n24707 36986\n37918 56900\n14700 21949\n4024 6003\n85380 100000\n87060 100000\n84847 100000\n85605 100000\n13689 20456\n16272 24305\n2524 3757\n1377 2053\n169 240\n54591 81945\n60437 90703\n11842 17691\n84262 100000\n83820 100000\n10286 15333\n97461 100000\n91600 100000\n34828 52268\n71900 100000\n56350 84606\n98366 100000\n16711 24964\n95780 100000\n89100 100000\n66630 99923\n79084 100000\n22194 33237\n88765 100000\n71322 100000\n67315 100000\n13637 20379\n53558 80381\n98289 100000\n22169 33198\n94882 100000\n78265 100000\n9318 13900\n18448 27575\n91488 100000\n2726 4061\n2811 4189\n93236 100000\n79828 100000\n39492 59318\n52863 79349\n29950 44882\n8826 13151\n48646 73060\n4839 7224\n18883 28231\n38878 58391\n89279 100000\n61148 91770\n99279 100000\n39224 58900\n98405 100000\n22228 33284\n98676 100000\n43460 65289\n63344 95027\n36184 54322\n86931 100000\n93045 100000\n27326 40930\n54384 81631\n40046 60128\n68475 100000\n7802 11632\n7790 11614\n98703 100000\n84627 100000\n86384 100000\n57927 86961\n36857 55319\n10193 15195\n98573 100000\n59511 89334\n14691 21939\n60165 90306\n25937 38820\n18470 27606\n1459 2175\n40428 60702\n93774 100000\n93745 100000\n70170 100000\n55706 83639\n88977 100000\n72356 100000\n74683 100000\n38786 58242\n50002 75099\n31996 47978\n48952 73525\n29227 43806\n97389 100000\n3582 5333\n95186 100000\n60706 91105\n86477 100000\n9010 13431\n79514 100000\n85606 100000\n4012 5984\n80822 100000\n45264 67965\n93352 100000\n53394 80141\n84522 100000\n35304 52981\n50474 75812\n22705 33987\n60026 90097\n17920 26775\n58559 87916\n81979 100000\n67715 100000\n52839 79316\n57323 86068\n47051 70659\n55638 83535\n4948 7392\n84526 100000\n19885 29764\n61965 92981\n14188 21199\n7477 11156\n8759 13052\n91825 100000\n4649 6941\n54498 81803\n47297 71037\n44509 66843\n15932 23799\n18374 27462\n4313 6439\n74112 100000\n47669 71613\n70933 100000\n11832 17675\n59897 89903\n37184 55801\n36543 54843\n8064 12022\n22616 33856\n86590 100000\n37478 56249\n67566 100000\n70671 100000\n40660 61061\n51547 77414\n46859 70372\n69899 100000\n2772 4131\n18149 27130\n37320 55998\n66258 99370\n90726 100000\n77767 100000\n66572 99836\n75914 100000\n30987 46470\n12435 18580\n78099 100000\n97989 100000\n85743 100000\n38571 57911\n11954 17853\n7887 11758\n60561 90886\n22635 33882\n64907 97371\n49844 74870\n13617 20350\n43075 64705\n15892 23742\n5787 8625\n57965 87016\n48543 72902\n71745 100000\n28077 42063\n51981 78052\n12195 18221\n50451 75774\n44500 66830\n13197 19725\n24323 36401\n50070 75204\n54031 81102\n34843 52288\n16729 24991\n61986 93011\n15581 23279\n62895 94375\n20780 31121\n1051 1557\n63526 95298\n86300 100000\n80800 100000\n36276 54453\n47133 70788\n63741 95620\n54053 81135\n61605 92440\n33924 50898\n68301 100000\n85951 100000\n96011 100000\n1581 2368\n95791 100000\n83766 100000\n83108 100000\n66512 99748\n40161 60294\n29132 43658\n69093 100000\n99050 100000\n59369 89121\n98578 100000\n74940 100000\n78576 100000\n2551 3797\n15912 23773\n35076 52637\n62871 94341\n64245 96378\n55570 83430\n93647 100000\n73743 100000\n10158 15145\n10266 15304\n54341 81566\n70516 100000\n42003 63081\n96583 100000\n63020 94554\n81270 100000\n19764 29583\n45949 68990\n76905 100000\n80947 100000\n8896 13258\n84556 100000\n34298 51453\n16633 24846\n39098 58718\n72770 100000\n80576 100000\n50023 75134\n76437 100000\n33318 49990\n31583 47368\n40265 60454\n51014 76613\n85341 100000\n45006 67577\n48906 73456\n21699 32493\n1732 2582\n30596 45883\n21753 32570\n31989 47967\n10597 15790\n639 939\n4362 6511\n69376 100000\n72300 100000\n76693 100000\n6798 10119\n58674 88093\n5319 7947\n86687 100000\n52104 78229\n6920 10307\n34500 51763\n94034 100000\n86043 100000\n32972 49464\n55924 83970\n80197 100000\n66922 100000\n84067 100000\n92361 100000\n30585 45864\n51636 77545\n29689 44497\n60208 90366\n45953 68997\n17815 26614\n51314 77068\n28016 41971\n80023 100000\n36169 54298\n28936 43369\n96131 100000\n3794 5664\n26156 39153\n83835 100000\n29726 44551\n2436 3622\n84774 100000\n57632 86521\n94204 100000\n43515 65360\n22270 33353\n42350 63624\n6918 10304\n40100 60204\n5722 8530\n7594 11333\n62381 93611\n61077 91664\n59744 89676\n98387 100000\n66675 99994\n49410 74217\n10002 14913\n72531 100000\n56498 84825\n96780 100000\n47839 71864\n19167 28667\n84314 100000\n66208 99292\n58524 87860\n18755 28037\n98273 100000\n24223 36248\n18752 28032\n80681 100000\n92699 100000\n6695 9963\n7592 11330\n33311 49976\n48786 73272\n36417 54658\n41869 62883\n70618 100000\n53477 80266\n53701 80599\n69318 100000\n16593 24787\n89237 100000\n22025 32980\n15361 22935\n38995 58565\n32527 48785\n76396 100000\n10052 14989\n77608 100000\n97895 100000\n85017 100000\n17256 25781\n2529 3764\n98371 100000\n79607 100000\n99264 100000\n10245 15272\n30101 45113\n67625 100000\n7474 11152\n45328 68061\n40009 60076\n8419 12545\n70248 100000\n73493 100000\n16957 25328\n78394 100000\n94459 100000\n89882 100000\n72654 100000\n99186 100000\n81455 100000\n95655 100000\n55791 83772\n41650 62557\n62907 94392\n31043 46545\n76583 100000\n4230 6313\n12694 18975\n77926 100000\n44529 66871\n60201 90358\n8298 12364\n6277 9341\n45149 67791\n72086 100000\n91663 100000\n46783 70252\n5273 7879\n18264 27303\n39846 59838\n28087 42075\n10252 15284\n7467 11141\n29432 44108\n76958 100000\n59953 89989\n84204 100000\n4184 6249\n23773 35579\n79997 100000\n81661 100000\n8893 13253\n52100 78223\n54687 82087\n54857 82337\n53379 80123\n75835 100000\n2902 4326\n88518 100000\n96931 100000\n44479 66799\n60920 91434\n98560 100000\n78447 100000\n53756 80682\n34016 51035\n18949 28333\n35850 53811\n62743 94151\n61012 91563\n89578 100000\n398 582\n95208 100000\n68097 100000\n50915 76462\n14352 21438\n18954 28341\n65877 98804\n39231 58911\n55863 83880\n63657 95495\n39202 58872\n80767 100000\n5627 8386\n4262 6361\n56468 84781\n73844 100000\n25445 38095\n69696 100000\n73536 100000\n54289 81489\n58172 87326\n4802 7169\n59984 90037\n51505 77354\n4897 7318\n19807 29648\n6645 9889\n90240 100000\n55556 83409\n60489 90778\n80284 100000\n18613 27817\n90935 100000\n4642 6931\n34747 52149\n62926 94420\n76966 100000\n35290 52961\n62146 93255\n70247 100000\n45994 69058\n71930 100000\n9526 14198\n96500 100000\n77721 100000\n32667 48998\n15200 22694\n87593 100000\n40240 60415\n77372 100000\n26555 39764\n68024 100000\n99873 100000\n87756 100000\n23446 35096\n54992 82544\n46104 69223\n19308 28884\n85308 100000\n46927 70467\n64902 97364\n88373 100000\n36618 54952\n27228 40778\n61745 92648\n63212 94831\n86119 100000\n4682 6990\n89816 100000\n70837 100000\n43067 64694\n77081 100000\n13397 20027\n25192 37717\n59863 89852\n99329 100000\n99249 100000\n11878 17743\n70375 100000\n25863 38713\n50541 75922\n61652 92511\n21499 32191\n14466 21604\n52339 78577\n36864 55327\n46014 69087\n65878 98806\n30053 45041\n11542 17234\n31824 47714\n22024 32979\n91963 100000\n88089 100000\n15142 22607\n7873 11734\n37482 56256\n44480 66800\n65748 98614\n59956 89995\n98396 100000\n35652 53502\n35080 52642\n98085 100000\n49533 74395\n73580 100000\n61980 93001\n93318 100000\n76681 100000\n80920 100000\n81459 100000\n85353 100000\n1908 2836\n7122 10614\n84074 100000\n18049 26969\n36943 55439\n8329 12412\n80914 100000\n86844 100000\n14811 22112\n16376 24464\n59342 89080\n88040 100000\n75503 100000\n93813 100000\n13813 20637\n64573 96879\n33502 50268\n83062 100000\n73582 100000\n10458 15581\n56944 85499\n93323 100000\n17641 26364\n30282 45400\n42471 63800\n77936 100000\n86044 100000\n53854 80837\n70030 100000\n43941 65994\n8765 13059\n78761 100000\n88349 100000\n97532 100000\n48026 72139\n29160 43701\n48818 73325\n43533 65385\n83258 100000\n18251 27281\n5603 8349\n66334 99482\n95948 100000\n44505 66838\n2426 3608\n16812 25116\n15930 23796\n70322 100000\n34934 52419\n9451 14092\n95067 100000\n80568 100000\n3470 5159\n44257 66464\n18414 27524\n86758 100000\n88208 100000\n26624 39865\n66767 100000\n12498 18675\n51026 76631\n92668 100000\n15143 22609\n38073 57139\n55020 82583\n72077 100000\n49667 74602\n60544 90862\n98742 100000\n90866 100000\n40680 61094\n27854 41729\n76358 100000\n77209 100000\n16425 24538\n41913 62951\n57488 86304\n14246 21286\n50221 75421\n87592 100000\n68748 100000\n64563 96866\n65302 97957\n36733 55128\n42993 64582\n75774 100000\n52849 79331\n97791 100000\n43632 65533\n82253 100000\n91173 100000\n32949 49431\n32939 49419\n88783 100000\n15674 23421\n43721 65663\n58163 87314\n38523 57840\n71287 100000\n49909 74961\n98362 100000\n55563 83420\n66561 99819\n86795 100000\n90891 100000\n65959 98921\n53383 80128\n87713 100000\n27424 41076\n20451 30623\n6520 9710\n8987 13398\n10894 16252\n1847 2751\n12356 18462\n5950 8862\n77822 100000\n40451 60736\n28010 41963\n46706 70140\n76744 100000\n64454 96687\n60914 91426\n24969 37384\n37506 56290\n9849 14681\n25297 37869\n1050 1556\n25603 38332\n66946 100000\n22839 34176\n10904 16267\n46481 69796\n43571 65441\n40015 60084\n73957 100000\n74733 100000\n83944 100000\n15847 23680\n51960 78021\n18765 28051\n91439 100000\n43592 65473\n94133 100000\n1771 2640\n25898 38762\n37544 56348\n54474 81765\n15346 22914\n7498 11188\n39528 59368\n70650 100000\n19704 29496\n95927 100000\n50841 76360\n54103 81219\n63405 95113\n53206 79856\n4516 6747\n83513 100000\n10811 16129\n7093 10570\n77369 100000\n52550 78883\n82993 100000\n55844 83854\n53279 79969\n10735 16010\n48553 72915\n25609 38339\n77039 100000\n22791 34107\n4589 6859\n79359 100000\n66750 100000\n39809 59782\n40764 61215\n95976 100000\n2215 3296\n47328 71083\n91839 100000\n37137 55733\n95339 100000\n89432 100000\n27007 40450\n40573 60927\n25866 38717\n87267 100000\n8550 12737\n5854 8720\n80978 100000\n88482 100000\n59432 89214\n84265 100000\n38819 58296\n10055 14994\n16944 25310\n34581 51890\n32161 48230\n41174 61839\n51860 77878\n72333 100000\n24462 36608\n82407 100000\n86663 100000\n72329 100000\n54651 82033\n53985 81034\n86152 100000\n38850 58346\n73574 100000\n79181 100000\n32992 49496\n2166 3228\n72930 100000\n64965 97456\n24808 37134\n21818 32665\n23381 34996\n84189 100000\n75291 100000\n63110 94675\n28997 43462\n30997 46484\n49288 74031\n26642 39895\n45171 67826\n78552 100000\n59124 88755\n37373 56084\n42889 64420\n55221 82883\n69913 100000\n70869 100000\n5019 7502\n49141 73809\n73586 100000\n36209 54357\n21885 32769\n46900 70429\n1880 2798\n46411 69690\n7546 11259\n9142 13628\n81314 100000\n21122 31624\n36309 54500\n77446 100000\n93835 100000\n80089 100000\n8814 13137\n1329 1984\n54748 82179\n4033 6013\n25101 37577\n59620 89495\n2267 3375\n85029 100000\n50331 75589\n69085 100000\n60202 90360\n22274 33358\n49663 74595\n19150 28641\n76082 100000\n62068 93137\n57628 86515\n37418 56157\n85775 100000\n78846 100000\n30615 45912\n95989 100000\n99151 100000\n56332 84576\n36749 55152\n14209 21232\n14056 20998\n92649 100000\n33793 50709\n41030 61622\n85710 100000\n37253 55910\n98155 100000\n55981 84050\n54074 81169\n66234 99330\n91186 100000\n48708 73158\n7188 10716\n91028 100000\n76266 100000\n32107 48146\n39698 59617\n76360 100000\n10791 16100\n62028 93078\n51430 77243\n15878 23723\n88477 100000\n20060 30029\n75087 100000\n36561 54866\n5449 8130\n91453 100000\n92840 100000\n81230 100000\n19746 29556\n59252 88945\n77502 100000\n38213 57359\n16398 24497\n52229 78415\n75637 100000\n85250 100000\n77131 100000\n81790 100000\n26628 39872\n13941 20827\n92014 100000\n41159 61816\n68706 100000\n75030 100000\n26151 39145\n13156 19665\n81340 100000\n32713 49066\n47568 71453\n90774 100000\n69924 100000\n84671 100000\n30340 45497\n94347 100000\n66385 99555\n32785 49175\n33489 50247\n24031 35963\n15527 23191\n23477 35141\n70449 100000\n67681 100000\n91638 100000\n58904 88434\n14561 21747\n31369 47042\n31325 46974\n88596 100000\n99061 100000\n47815 71829\n67166 100000\n35999 54036\n74344 100000\n85047 100000\n85224 100000\n8641 12876\n27594 41344\n48870 73401\n63253 94889\n26373 39489\n70880 100000\n39129 58764\n14398 21507\n53936 80960\n47084 70710\n87688 100000\n93831 100000\n60635 90999\n43512 65356\n91781 100000\n63236 94866\n61826 92769\n66195 99273\n21630 32389\n57870 86876\n93122 100000\n70979 100000\n97388 100000\n206 301\n55539 83382\n93479 100000\n73665 100000\n38365 57601\n81589 100000\n99832 100000\n14872 22197\n19551 29257\n46448 69747\n41568 62436\n17704 26452\n93444 100000\n35129 52722\n4856 7250\n28242 42315\n81865 100000\n11220 16741\n16121 24082\n50665 76104\n37178 55793\n57557 86412\n34645 51987\n99678 100000\n78504 100000\n13437 20083\n23159 34652\n58854 88362\n91429 100000\n88384 100000\n78521 100000\n59955 89993\n85067 100000\n39925 59953\n3350 4977\n13218 19756\n47889 71937\n75110 100000\n98083 100000\n69828 100000\n85588 100000\n53085 79673\n80515 100000\n71437 100000\n88728 100000\n47817 71831\n82732 100000\n91959 100000\n72827 100000\n82746 100000\n36930 55422\n77031 100000\n81898 100000\n65021 97545\n76225 100000\n28222 42285\n33402 50120\n5784 8620\n61051 91624\n24511 36683\n64788 97194\n14945 22306\n75074 100000\n53495 80291\n38275 57458\n16277 24312\n53100 79692\n69260 100000\n85731 100000\n60310 90511\n85269 100000\n14733 21994\n99231 100000\n98402 100000\n18120 27083\n14215 21242\n22563 33777\n22846 34186\n24939 37335\n19067 28509\n60975 91509\n43872 65887\n41137 61783\n30454 45667\n7028 10467\n73576 100000\n52006 78088\n54799 82255\n87530 100000\n63065 94614\n50655 76088\n33363 50065\n85035 100000\n75236 100000\n40336 60557\n73818 100000\n64928 97401\n39781 59743\n7903 11779\n14147 21138\n95738 100000\n77816 100000\n22075 33057\n50151 75324\n22802 34125\n80824 100000\n9931 14811\n75696 100000\n66372 99539\n82548 100000\n26832 40181\n42661 64077\n40215 60378\n63303 94964\n86434 100000\n61388 92114\n91172 100000\n10937 16321\n96997 100000\n55406 83177\n78178 100000\n77143 100000\n96836 100000\n48555 72919\n84361 100000\n27479 41163\n67107 100000\n78499 100000\n90564 100000\n29538 44260\n22562 33775\n42372 63653\n11951 17850\n38535 57860\n60694 91084\n13026 19467\n93692 100000\n7955 11857\n93071 100000\n1423 2121\n51233 76947\n52127 78265\n80612 100000\n91793 100000\n40788 61253\n42203 63384\n77322 100000\n76780 100000\n86868 100000\n82152 100000\n65981 98953\n21184 31717\n30822 46223\n5946 8855\n5815 8665\n31256 46867\n86892 100000\n99564 100000\n92692 100000\n31573 47352\n66429 99619\n7544 11256\n79870 100000\n43770 65735\n6582 9800\n53282 79973\n52140 78282\n8322 12402\n15424 23030\n48259 72492\n90021 100000\n75392 100000\n7618 11366\n25247 37797\n36349 54561\n81429 100000\n71843 100000\n12191 18216\n99192 100000\n20006 29948\n60289 90479\n56337 84585\n85305 100000\n28223 42286\n59760 89698\n10851 16190\n4308 6432\n21240 31802\n20101 30092\n91852 100000\n94446 100000\n27175 40703\n96921 100000\n22360 33486\n8215 12249\n35265 52928\n65902 98840\n88535 100000\n43939 65991\n48951 73524\n11363 16962\n70570 100000\n36214 54365\n67589 100000\n84884 100000\n99600 100000\n11839 17687\n26922 40319\n17500 26162\n44833 67321\n89424 100000\n6310 9391\n41209 61893\n53157 79782\n83759 100000\n15001 22386\n7448 11113\n60560 90885\n35141 52739\n19169 28669\n54306 81515\n93904 100000\n14721 21978\n69747 100000\n30833 46240\n26779 40101\n22550 33760\n80456 100000\n88320 100000\n7698 11481\n7956 11858\n73308 100000\n73616 100000\n63495 95253\n28712 43028\n55013 82573\n12519 18707\n65948 98906\n75537 100000\n98044 100000\n24038 35975\n47543 71419\n94650 100000\n72464 100000\n42191 63363\n18277 27324\n6222 9259\n71720 100000\n728 1074\n95138 100000\n33350 50043\n8462 12610\n38629 58001\n70110 100000\n54391 81641\n59503 89322\n70558 100000\n8786 13089\n58906 88437\n24885 37253\n51932 77978\n5225 7809\n63563 95351\n88551 100000\n92811 100000\n46756 70213\n34942 52432\n65934 98886\n29478 44171\n59921 89939\n89260 100000\n63599 95406\n66852 100000\n43106 64750\n26656 39915\n51135 76797\n52220 78403\n35558 53362\n99609 100000\n759 1120\n34752 52156\n90451 100000\n51942 77994\n64894 97352\n66341 99493\n85195 100000\n36461 54722\n85870 100000\n39467 59278\n90356 100000\n76085 100000\n77823 100000\n53645 80514\n95307 100000\n75620 100000\n9095 13559\n58921 88460\n94960 100000\n43912 65950\n92931 100000\n26745 40048\n84144 100000\n31233 46835\n44961 67509\n50743 76214\n41654 62564\n86305 100000\n70686 100000\n53755 80681\n82413 100000\n83567 100000\n13880 20742\n4683 6992\n86922 100000\n38342 57564\n41709 62645\n60747 91166\n58916 88452\n54538 81864\n43134 64796\n84372 100000\n39655 59554\n29909 44821\n14892 22225\n5424 8098\n51475 77311\n16208 24209\n81299 100000\n28315 42420\n78334 100000\n91125 100000\n65091 97646\n47346 71115\n6856 10206\n78039 100000\n52955 79492\n65652 98463\n48588 72969\n75927 100000\n38852 58349\n73094 100000\n40738 61180\n51697 77634\n844 1244\n16975 25355\n18002 26897\n41098 61726\n6424 9562\n80206 100000\n86582 100000\n70439 100000\n19270 28825\n2940 4378\n89550 100000\n1525 2279\n60816 91276\n84283 100000\n27998 41946\n44451 66759\n59310 89032\n24518 36694\n23393 35015\n63576 95370\n16144 24117\n48582 72961\n75079 100000\n1351 2015\n15541 23212\n23014 34434\n39638 59532\n67863 100000\n49660 74590\n4145 6187\n11950 17849\n16236 24250\n86455 100000\n68622 100000\n60011 90075\n58617 88001\n7801 11631\n62681 94061\n90401 100000\n59464 89262\n42574 63950\n61592 92422\n39767 59722\n86160 100000\n53020 79587\n99580 100000\n66997 100000\n24269 36318\n58914 88449\n35798 53732\n70518 100000\n80924 100000\n11833 17676\n32316 48462\n94615 100000\n14680 21924\n5247 7837\n88758 100000\n46725 70169\n19056 28493\n42440 63757\n42671 64091\n23161 34655\n16816 25123\n55283 82984\n15812 23627\n80661 100000\n54067 81156\n74852 100000\n82484 100000\n9201 13717\n83361 100000\n48557 72923\n52307 78528\n96090 100000\n2569 3823\n30494 45728\n7130 10627\n69852 100000\n34537 51820\n89763 100000\n74709 100000\n86979 100000\n19856 29718\n29835 44712\n14795 22087\n6045 8997\n75472 100000\n46807 70291\n41790 62766\n20168 30188\n68697 100000\n11807 17637\n31372 47047\n87467 100000\n12843 19195\n7355 10977\n26271 39331\n54812 82275\n20201 30237\n16055 23981\n56330 84573\n11492 17158\n25514 38194\n49342 74110\n64428 96645\n29371 44016\n31870 47783\n47371 71155\n52148 78294\n40552 60897\n99651 100000\n83282 100000\n19651 29412\n87239 100000\n97541 100000\n57880 86891\n68685 100000\n10453 15574\n69099 100000\n7378 11009\n52582 78932\n95555 100000\n48961 73538\n4043 6027\n15401 22999\n71152 100000\n15126 22583\n61454 92218\n64150 96233\n9690 14438\n37026 55567\n12980 19399\n52871 79363\n70693 100000\n35601 53425\n4610 6886\n88663 100000\n75885 100000\n5342 7979\n43181 64873\n70160 100000\n14273 21323\n10946 16333\n95984 100000\n84764 100000\n18951 28336\n30421 45615\n13410 20047\n76518 100000\n43588 65466\n21350 31958\n22420 33578\n22401 33547\n89324 100000\n36067 54145\n80326 100000\n68940 100000\n86488 100000\n92896 100000\n11795 17617\n56729 85172\n53330 80047\n656 965\n46653 70053\n91765 100000\n53184 79818\n18293 27346\n87436 100000\n12208 18241\n55860 83876\n28848 43238\n14425 21545\n70216 100000\n79704 100000\n72545 100000\n98711 100000\n34357 51537\n79045 100000\n61106 91704\n89531 100000\n14725 21983\n19089 28542\n79877 100000\n63644 95473\n39982 60037\n84631 100000\n13786 20597\n32729 49089\n97531 100000\n84004 100000\n72123 100000\n7842 11690\n63437 95156\n96837 100000\n40139 60263\n75990 100000\n36511 54794\n74955 100000\n33260 49897\n36574 54884\n57069 85683\n67838 100000\n77587 100000\n45539 68362\n28354 42482\n83422 100000\n97879 100000\n38941 58481\n61141 91759\n90963 100000\n99953 100000\n28385 42527\n61959 92973\n9452 14093\n90973 100000\n34583 51893\n88896 100000\n19385 29000\n51922 77965\n81616 100000\n6721 9997\n56867 85387\n4473 6677\n77771 100000\n62542 93848\n91081 100000\n65550 98324\n97058 100000\n96635 100000\n76237 100000\n52172 78333\n24426 36551\n69666 100000\n97605 100000\n48525 72875\n68788 100000\n87217 100000\n61041 91610\n87750 100000\n59115 88741\n53834 80806\n59663 89560\n41708 62644\n76434 100000\n5858 8728\n3039 4521\n6496 9678\n76011 100000\n62410 93653\n23919 35794\n81600 100000\n41944 62997\n94562 100000\n89435 100000\n54254 81434\n21954 32872\n76150 100000\n37560 56370\n74750 100000\n74704 100000\n58518 87851\n37997 57022\n19195 28708\n26356 39462\n30608 45902\n15870 23712\n64431 96650\n35930 53930\n55891 83919\n6128 9115\n45634 68519\n42596 63983\n46916 70453\n57961 87010\n68023 100000\n93861 100000\n61708 92593\n36656 55013\n77898 100000\n26953 40367\n1639 2449\n63617 95432\n73996 100000\n70625 100000\n56866 85385\n47466 71297\n80270 100000\n99694 100000\n63890 95849\n28170 42202\n61960 92974\n69189 100000\n34730 52123\n72301 100000\n98749 100000\n17490 26145\n13937 20821\n39948 59987\n12812 19153\n82112 100000\n99814 100000\n56686 85111\n85032 100000\n65839 98745\n14689 21936\n12541 18739\n53615 80473\n30334 45486\n10283 15329\n10280 15323\n89015 100000\n15653 23391\n77200 100000\n24213 36234\n80441 100000\n51782 77761\n89934 100000\n18071 27004\n32970 49461\n87886 100000\n68541 100000\n86657 100000\n49937 74999\n16878 25217\n65143 97721\n50393 75681\n96548 100000\n46793 70269\n57439 86231\n28372 42507\n69499 100000\n33799 50719\n62629 93984\n99697 100000\n73400 100000\n82269 100000\n45145 67785\n45373 68123\n93115 100000\n2699 4021\n89004 100000\n11955 17854\n76395 100000\n62001 93034\n69674 100000\n75539 100000\n77789 100000\n40693 61113\n47554 71433\n49107 73759\n48377 72653\n98558 100000\n51467 77299\n57650 86547\n77883 100000\n6227 9265\n78477 100000\n40986 61551\n29610 44373\n27181 40710\n86633 100000\n95188 100000\n55877 83899\n44507 66840\n64596 96913\n31042 46544\n41581 62453\n34411 51624\n12366 18476\n83888 100000\n93823 100000\n653 960\n93414 100000\n96089 100000\n6881 10245\n92189 100000\n31970 47938\n93176 100000\n84096 100000\n66502 99734\n4959 7409\n75262 100000\n67754 100000\n95501 100000\n2306 3433\n74739 100000\n25775 38584\n31905 47835\n96970 100000\n41949 63003\n10636 15848\n71193 100000\n14981 22358\n8474 12629\n63483 95232\n13739 20530\n57547 86398\n60616 90973\n92673 100000\n60750 91170\n66249 99356\n85752 100000\n25354 37954\n2756 4102\n1781 2654\n47432 71242\n18741 28013\n7777 11593\n60167 90310\n81622 100000\n47014 70601\n64977 97476\n20742 31063\n55592 83464\n13041 19488\n71351 100000\n54494 81797\n36047 54110\n90900 100000\n93797 100000\n22895 34259\n42048 63145\n99457 100000\n79149 100000\n10140 15118\n44690 67109\n83186 100000\n24747 37043\n99860 100000\n49938 75001\n48297 72542\n42476 63806\n67171 100000\n96793 100000\n72606 100000\n28302 42400\n53070 79652\n77493 100000\n81218 100000\n20520 30727\n25460 38116\n1162 1727\n99677 100000\n12341 18439\n33649 50495\n18606 27808\n99055 100000\n24153 36143\n40324 60541\n88032 100000\n97942 100000\n29676 44480\n41211 61896\n42431 63744\n547 806\n80905 100000\n90359 100000\n60687 91072\n37078 55645\n34965 52469\n781 1154\n49045 73668\n23281 34836\n28672 42970\n5508 8214\n95256 100000\n8682 12942\n39054 58653\n56165 84319\n48561 72929\n49390 74187\n75468 100000\n85506 100000\n3362 4996\n53612 80468\n20165 30184\n43843 65842\n82154 100000\n93581 100000\n35150 52754\n30140 45176\n29071 43574\n73163 100000\n73760 100000\n10729 16002\n1506 2252\n17127 25587\n93483 100000\n70531 100000\n72402 100000\n10386 15476\n76607 100000\n88884 100000\n60744 91160\n54601 81958\n27579 41321\n95358 100000\n73874 100000\n18446 27571\n67605 100000\n70906 100000\n73613 100000\n95810 100000\n36795 55224\n39768 59723\n13745 20539\n18847 28175\n5750 8569\n16392 24488\n93700 100000\n76553 100000\n55085 82679\n60781 91222\n64828 97254\n50482 75823\n82783 100000\n20266 30341\n45919 68944\n2461 3659\n18839 28162\n8966 13365\n32899 49359\n90506 100000\n29818 44688\n37443 56194\n17308 25857\n90847 100000\n64176 96270\n53884 80883\n45439 68225\n53441 80213\n2530 3766\n37270 55933\n54895 82395\n2578 3838\n92555 100000\n42087 63205\n5464 8150\n54119 81243\n33907 50876\n70233 100000\n1605 2400\n58592 87965\n82167 100000\n34707 52084\n69837 100000\n22300 33394\n7125 10618\n51527 77383\n37475 56243\n41133 61778\n13099 19581\n19482 29148\n23729 35513\n51421 77229\n81103 100000\n95778 100000\n8019 11955\n95033 100000\n42024 63112\n54743 82172\n87617 100000\n53581 80417\n56461 84773\n62727 94130\n22477 33659\n97789 100000\n36572 54881\n80758 100000\n23937 35819\n96505 100000\n11178 16682\n33792 50708\n96080 100000\n27437 41097\n82188 100000\n46167 69316\n4809 7179\n95861 100000\n62695 94083\n47715 71682\n32605 48903\n99260 100000\n70315 100000\n19491 29160\n66354 99511\n64736 97119\n23279 34834\n66799 100000\n14758 22034\n85279 100000\n9348 13943\n69939 100000\n7098 10577\n52823 79291\n78097 100000\n67025 100000\n82981 100000\n60271 90456\n98586 100000\n16075 24014\n5987 8917\n3545 5277\n83639 100000\n4555 6811\n95775 100000\n68060 100000\n58464 87766\n30499 45736\n84272 100000\n38885 58402\n44848 67343\n99539 100000\n64046 96081\n73343 100000\n62430 93679\n66110 99145\n65785 98666\n44755 67207\n53723 80631\n70636 100000\n69711 100000\n93942 100000\n67581 100000\n91570 100000\n5394 8054\n75859 100000\n58746 88200\n86038 100000\n75608 100000\n82656 100000\n75782 100000\n57664 86567\n19544 29247\n4877 7285\n31278 46902\n18412 27521\n71738 100000\n77413 100000\n55414 83189\n20620 30875\n71249 100000\n59622 89498\n87769 100000\n80733 100000\n11143 16630\n69877 100000\n16777 25066\n55372 83122\n46917 70455\n2545 3788\n8040 11988\n5768 8592\n59185 88847\n45886 68896\n12364 18473\n24066 36011\n8295 12359\n6325 9411\n48385 72664\n929 1371\n63118 94689\n38490 57785\n74939 100000\n19741 29551\n80850 100000\n25324 37909\n36015 54059\n41195 61873\n56852 85363\n40114 60224\n7238 10791\n37287 55955\n23010 34429\n83657 100000\n86912 100000\n92199 100000\n4035 6015\n92424 100000\n50224 75425\n65270 97905\n12990 19414\n50201 75392\n77755 100000\n52767 79210\n79185 100000\n30753 46118\n65124 97696\n6825 10158\n20285 30375\n5168 7724\n58009 87085\n10092 15051\n7957 11859\n22067 33044\n41291 62016\n61729 92626\n71032 100000\n4929 7363\n77766 100000\n64541 96830\n45626 68506\n62673 94048\n13268 19835\n2106 3136\n10166 15157\n1049 1554\n36033 54088\n84243 100000\n72092 100000\n16722 24981\n78909 100000\n94602 100000\n15968 23854\n70366 100000\n42086 63203\n73494 100000\n4031 6011\n30709 46054\n28496 42710\n35604 53430\n74702 100000\n51316 77072\n75477 100000\n3382 5027\n94179 100000\n59627 89505\n89072 100000\n46522 69859\n92158 100000\n1113 1650\n18935 28311\n69361 100000\n97161 100000\n34099 51154\n41549 62411\n2416 3592\n49101 73751\n49495 74341\n38669 58063\n44214 66398\n97372 100000\n50855 76380\n63205 94820\n71196 100000\n13774 20580\n93631 100000\n58761 88220\n7004 10431\n45628 68509\n20559 30783\n3496 5199\n91191 100000\n31921 47861\n94280 100000\n43174 64862\n44461 66772\n638 938\n84777 100000\n4933 7370\n3515 5233\n88700 100000\n44972 67527\n2872 4280\n93928 100000\n75502 100000\n56603 84980\n88455 100000\n58624 88012\n34299 51454\n49181 73869\n81121 100000\n46548 69902\n63958 95949\n43794 65768\n36665 55027\n35881 53859\n10940 16324\n99142 100000\n41903 62936\n28612 42884\n53910 80922\n25988 38900\n16140 24110\n6010 8952\n80702 100000\n99242 100000\n1503 2247\n27006 40449\n66688 100000\n51873 77895\n18898 28258\n3557 5295\n25974 38876\n15 22\n36595 54916\n16414 24520\n10220 15234\n80204 100000\n78486 100000\n27791 41639\n43760 65720\n30135 45168\n92184 100000\n94797 100000\n42556 63920\n37366 56073\n86247 100000\n58897 88424\n25031 37475\n68246 100000\n87449 100000\n87304 100000\n51226 76935\n62638 93996\n30168 45221\n64443 96671\n53792 80740\n1465 2185\n86929 100000\n68673 100000\n84258 100000\n56979 85551\n57106 85741\n80198 100000\n39425 59214\n49515 74372\n84353 100000\n77840 100000\n70085 100000\n52524 78845\n71913 100000\n60194 90347\n46501 69827\n41882 62904\n63505 95265\n98340 100000\n90706 100000\n50103 75255\n45118 67747\n38539 57866\n42382 63669\n83635 100000\n97020 100000\n17580 26273\n34257 51393\n6827 10161\n49400 74201\n18136 27109\n87912 100000\n50020 75129\n40659 61059\n9034 13466\n35528 53321\n24490 36649\n20359 30492\n34890 52354\n80289 100000\n95094 100000\n17724 26481\n42311 63558\n2521 3753\n42679 64102\n63094 94654\n42698 64129\n83514 100000\n16200 24198\n74449 100000\n48151 72326\n589 861\n95387 100000\n71163 100000\n12899 19276\n20945 31368\n35206 52838\n39302 59020\n63056 94602\n83016 100000\n32963 49453\n36120 54225\n20233 30288\n41497 62325\n3008 4477\n29306 43921\n66517 99754\n85019 100000\n66302 99434\n25652 38404\n48293 72536\n55827 83827\n32126 48175\n12181 18201\n34567 51868\n96330 100000\n64324 96491\n21651 32419\n2103 3130\n17120 25574\n11301 16865\n69572 100000\n21179 31709\n97859 100000\n16373 24459\n87061 100000\n11689 17450\n35719 53611\n82207 100000\n79172 100000\n1709 2550\n49404 74207\n1257 1870\n35322 53009\n74003 100000\n92879 100000\n27660 41439\n954 1412\n80831 100000\n3905 5825\n74730 100000\n22989 34400\n98038 100000\n25136 37630\n59820 89787\n81821 100000\n61925 92925\n68335 100000\n87387 100000\n36675 55042\n88454 100000\n38005 57035\n14855 22172\n72561 100000\n76462 100000\n88603 100000\n66179 99249\n48511 72855\n50730 76195\n48999 73599\n39252 58939\n84510 100000\n52384 78643\n43624 65521\n70389 100000\n56201 84372\n28432 42606\n17537 26210\n36717 55106\n59328 89059\n42279 63507\n88225 100000\n54112 81231\n13856 20703\n38331 57546\n37294 55962\n43732 65676\n43581 65455\n12808 19147\n82448 100000\n57977 87036\n59914 89929\n31635 47446\n62769 94188\n69972 100000\n50924 76476\n47500 71352\n24215 36237\n86816 100000\n49318 74077\n32462 48689\n8246 12293\n55672 83590\n32062 48078\n75675 100000\n64484 96738\n45844 68834\n2209 3288\n26268 39326\n95032 100000\n19190 28700\n40522 60851\n5757 8576\n34158 51248\n87052 100000\n96824 100000\n82265 100000\n20645 30915\n52246 78440\n36635 54979\n81224 100000\n8923 13300\n3758 5605\n58299 87522\n3273 4868\n49350 74124\n10153 15138\n82395 100000\n46640 70037\n13686 20451\n40591 60955\n35070 52629\n93799 100000\n83773 100000\n32793 49189\n83865 100000\n67773 100000\n3510 5224\n97176 100000\n43825 65816\n40604 60975\n52551 78884\n85650 100000\n80607 100000\n15060 22481\n19001 28412\n66327 99470\n60764 91194\n39055 58655\n64529 96808\n85683 100000\n4564 6824\n30859 46280\n22332 33443\n19783 29614\n43309 65068\n23789 35603\n53586 80426\n28413 42573\n8169 12180\n48159 72339\n57782 86736\n39910 59927\n9829 14651\n82067 100000\n93406 100000\n22212 33262\n7451 11117\n89792 100000\n89443 100000\n6504 9688\n12468 18631\n11511 17187\n23762 35561\n97629 100000\n23096 34556\n36354 54569\n99852 100000\n76783 100000\n95027 100000\n66509 99745\n69616 100000\n47306 71049\n72581 100000\n52730 79159\n33622 50453\n86414 100000\n34453 51693\n40457 60745\n17193 25694\n36129 54238\n22165 33191\n85927 100000\n68067 100000\n71394 100000\n53555 80377\n12890 19264\n83665 100000\n2229 3319\n71070 100000\n57703 86625\n4279 6386\n74854 100000\n36285 54465\n46627 70018\n12052 18003\n12988 19411\n14524 21690\n62417 93662\n90235 100000\n48317 72569\n91247 100000\n2910 4339\n76800 100000\n76024 100000\n34926 52407\n72826 100000\n58576 87939\n7100 10581\n37855 56805\n60857 91338\n99822 100000\n84162 100000\n31414 47113\n15647 23382\n27979 41920\n33217 49841\n66679 100000\n69842 100000\n73368 100000\n2270 3381\n34474 51722\n24229 36258\n6887 10256\n15478 23113\n10632 15842\n14484 21629\n48486 72817\n68152 100000\n66035 99043\n33138 49718\n89656 100000\n7321 10920\n85328 100000\n15830 23656\n19406 29030\n2389 3550\n80421 100000\n85201 100000\n91900 100000\n96091 100000\n23231 34768\n92696 100000\n35147 52749\n96550 100000\n16534 24700\n17191 25691\n13105 19590\n9148 13639\n36119 54224\n84512 100000\n83990 100000\n32038 48043\n79468 100000\n7259 10827\n58068 87176\n86034 100000\n55176 82812\n55979 84048\n37088 55658\n73826 100000\n30259 45363\n98434 100000\n45522 68337\n90877 100000\n98971 100000\n60373 90605\n74398 100000\n88883 100000\n1758 2619\n93039 100000\n2715 4043\n37021 55562\n12517 18705\n3579 5328\n50412 75712\n4850 7241\n81639 100000\n29656 44445\n36248 54413\n47508 71363\n4320 6451\n85107 100000\n63411 95122\n8291 12353\n43957 66019\n75928 100000\n66113 99149\n629 923\n35908 53898\n79092 100000\n65519 98279\n91866 100000\n29364 44006\n27061 40531\n9565 14249\n79037 100000\n5882 8762\n67209 100000\n33152 49738\n59517 89343\n83787 100000\n57003 85588\n23529 35214\n71883 100000\n45812 68788\n47379 71165\n77488 100000\n8327 12408\n60775 91213\n99598 100000\n26900 40283\n29678 44483\n99136 100000\n81320 100000\n66729 100000\n11469 17125\n25000 37435\n87660 100000\n88878 100000\n20701 30998\n70080 100000\n30589 45869\n5457 8140\n57060 85669\n18473 27611\n65837 98742\n78404 100000\n68992 100000\n95164 100000\n18209 27217\n90956 100000\n32022 48019\n43734 65678\n10117 15087\n76246 100000\n88568 100000\n49508 74363\n91019 100000\n51737 77691\n8063 12020\n1886 2807\n82438 100000\n74459 100000\n58722 88167\n5467 8153\n64206 96316\n52324 78554\n61478 92255\n77756 100000\n5196 7764\n26225 39258\n42375 63657\n88616 100000\n38264 57443\n67213 100000\n69295 100000\n45552 68386\n88542 100000\n34887 52349\n14372 21466\n69515 100000\n78393 100000\n64660 97008\n81082 100000\n66361 99521\n78961 100000\n95355 100000\n18213 27224\n70930 100000\n58615 87998\n16797 25094\n24890 37261\n17054 25473\n62564 93882\n67356 100000\n70532 100000\n56259 84460\n80434 100000\n82618 100000\n84242 100000\n65521 98281\n72061 100000\n38139 57243\n23934 35815\n6852 10200\n89319 100000\n42448 63768\n65252 97877\n60553 90874\n39116 58741\n73722 100000\n50104 75257\n59934 89959\n40830 61316\n23820 35652\n50744 76216\n83840 100000\n42970 64547\n33717 50593\n26702 39983\n21633 32392\n96022 100000\n14355 21442\n18058 26982\n23285 34843\n75359 100000\n19941 29845\n53522 80331\n20280 30366\n64815 97234\n69044 100000\n26797 40128\n26222 39254\n96934 100000\n54024 81093\n37208 55839\n59063 88668\n95068 100000\n99765 100000\n99076 100000\n69604 100000\n39933 59965\n65979 98949\n45799 68769\n48466 72785\n80523 100000\n47384 71172\n69884 100000\n12867 19230\n4378 6537\n19806 29647\n11097 16564\n4430 6615\n47512 71369\n54652 82034\n80373 100000\n81757 100000\n74233 100000\n38717 58136\n17338 25903\n2503 3723\n81946 100000\n44054 66161\n40087 60189\n82332 100000\n34928 52410\n13554 20250\n36153 54273\n97219 100000\n63208 94823\n55696 83625\n19759 29576\n54171 81317\n29408 44069\n13273 19845\n26678 39947\n53257 79937\n34020 51041\n52098 78219\n40329 60548\n70712 100000\n22285 33372\n85033 100000\n2444 3633\n88589 100000\n97385 100000\n4496 6711\n88230 100000\n83296 100000\n8424 12552\n13377 19997\n7619 11367\n31631 47440\n37546 56351\n38338 57558\n53687 80580\n94952 100000\n65288 97934\n23195 34706\n79010 100000\n94098 100000\n69004 100000\n67011 100000\n47751 71738\n63070 94622\n13515 20195\n59099 88718\n54198 81356\n25066 37527\n74793 100000\n91004 100000\n98844 100000\n68525 100000\n39604 59482\n19907 29796\n83852 100000\n98498 100000\n81238 100000\n40879 61390\n13446 20098\n4302 6424\n5746 8563\n82955 100000\n45533 68354\n96120 100000\n63675 95521\n92465 100000\n78546 100000\n37130 55724\n87348 100000\n59062 88667\n32764 49143\n25232 37772\n28210 42266\n50829 76345\n97184 100000\n91796 100000\n6704 9974\n58744 88198\n95428 100000\n11255 16795\n32657 48982\n57104 85739\n17235 25753\n23646 35386\n90397 100000\n88339 100000\n73983 100000\n82584 100000\n47558 71440\n99908 100000\n3683 5491\n99635 100000\n79893 100000\n42619 64017\n70476 100000\n7808 11641\n24918 37304\n86296 100000\n237 344\n6130 9119\n66451 99654\n31191 46771\n36527 54820\n33516 50289\n94011 100000\n44466 66779\n51621 77524\n53571 80401\n95799 100000\n39939 59973\n94369 100000\n63981 95985\n18378 27469\n45475 68273\n92863 100000\n62579 93905\n29185 43740\n75676 100000\n54127 81257\n5199 7768\n72081 100000\n85333 100000\n21836 32695\n83702 100000\n64514 96785\n81707 100000\n35539 53333\n12328 18419\n696 1024\n3522 5244\n34791 52216\n97352 100000\n13605 20330\n95005 100000\n90931 100000\n91224 100000\n58146 87291\n78093 100000\n12063 18019\n58452 87747\n17295 25840\n91102 100000\n41163 61822\n39947 59985\n48972 73557\n18260 27296\n17600 26305\n14420 21538\n98475 100000\n37224 55864\n4097 6112\n39900 59915\n24041 35979\n66652 99958\n18570 27752\n44827 67312\n78109 100000\n42380 63665\n90542 100000\n53679 80566\n75136 100000\n22937 34322\n22343 33456\n91069 100000\n85692 100000\n25784 38596\n57608 86484\n98160 100000\n40990 61557\n35035 52575\n22996 34411\n94113 100000\n5868 8741\n93349 100000\n96783 100000\n33619 50448\n24902 37280\n91734 100000\n98100 100000\n65763 98634\n16782 25075\n36444 54698\n82494 100000\n87196 100000\n11772 17579\n70793 100000\n72982 100000\n95669 100000\n510 755\n40854 61350\n84991 100000\n19023 28442\n94056 100000\n77581 100000\n55320 83043\n18554 27731\n15292 22837\n82192 100000\n31534 47291\n38863 58369\n30953 46421\n239 346\n12768 19094\n96815 100000\n40988 61554\n54890 82389\n4336 6475\n97739 100000\n56099 84228\n43653 65565\n54344 81569\n18342 27418\n17435 26059\n3387 5033\n59600 89464\n30141 45177\n24020 35949\n96317 100000\n94112 100000\n4280 6388\n96183 100000\n3955 5902\n48280 72520\n70957 100000\n70116 100000\n12150 18158\n40941 61481\n3871 5776\n59615 89487\n54513 81825\n89960 100000\n84658 100000\n47223 70925\n67738 100000\n82686 100000\n11402 17021\n56549 84902\n22807 34134\n81772 100000\n93340 100000\n20434 30602\n34798 52225\n58907 88438\n27918 41833\n54757 82193\n12599 18831\n92030 100000\n69011 100000\n47217 70917\n31217 46810\n89701 100000\n10989 16399\n59142 88781\n358 525\n62428 93677\n14788 22077\n99236 100000\n96442 100000\n78482 100000\n82184 100000\n21668 32446\n34884 52344\n81153 100000\n4248 6339\n42089 63208\n48985 73580\n1949 2894\n54821 82288\n12478 18644\n49812 74823\n7094 10572\n53872 80864\n39346 59087\n88194 100000\n19179 28684\n40563 60911\n67449 100000\n85555 100000\n84823 100000\n93541 100000\n26707 39988\n94764 100000\n36751 55156\n49161 73838\n28639 42924\n94985 100000\n73017 100000\n77072 100000\n52773 79218\n92662 100000\n99070 100000\n30705 46047\n16325 24383\n96328 100000\n47885 71931\n87715 100000\n52575 78922\n18938 28316\n43746 65698\n25827 38660\n84867 100000\n59945 89975\n57939 86980\n65043 97577\n45004 67574\n14760 22037\n77676 100000\n89420 100000\n21617 32368\n62045 93105\n65134 97711\n64390 96591\n5819 8671\n60846 91318\n40104 60210\n85881 100000\n75064 100000\n30163 45212\n44853 67350\n41204 61887\n95136 100000\n70262 100000\n62865 94333\n78634 100000\n77901 100000\n22796 34116\n53605 80457\n78454 100000\n50358 75630\n15693 23450\n67893 100000\n45514 68326\n29491 44192\n64124 96196\n94685 100000\n64020 96043\n9589 14282\n34545 51832\n32299 48434\n39540 59387\n26983 40412\n9695 14447\n68858 100000\n28821 43194\n2800 4170\n92223 100000\n77749 100000\n12911 19291\n25721 38507\n36462 54723\n24803 37125\n41438 62238\n50261 75479\n71877 100000\n39000 58572\n56870 85391\n15307 22858\n28774 43120\n76502 100000\n63244 94876\n4738 7073\n49362 74142\n96363 100000\n76457 100000\n67298 100000\n71935 100000\n25779 38590\n56262 84465\n2346 3488\n96703 100000\n81032 100000\n61785 92711\n68196 100000\n24266 36313\n46423 69709\n82768 100000\n3830 5719\n72299 100000\n79563 100000\n5687 8479\n5092 7613\n78731 100000\n14606 21809\n27460 41133\n9128 13608\n88099 100000\n33629 50466\n38903 58426\n77277 100000\n2505 3727\n82710 100000\n14646 21874\n75277 100000\n76785 100000\n14053 20994\n4801 7168\n37830 56768\n24244 36279\n24448 36586\n10147 15127\n27992 41938\n5842 8704\n35398 53120\n87311 100000\n27339 40951\n86174 100000\n54146 81282\n53911 80923\n22344 33458\n95218 100000\n48676 73106\n57714 86639\n14786 22074\n57975 87032\n51246 76966\n82731 100000\n82424 100000\n80407 100000\n82862 100000\n49678 74617\n35729 53627\n33641 50486\n47733 71711\n13717 20497\n6613 9845\n84984 100000\n40514 60838\n37631 56474\n13233 19780\n77654 100000\n28929 43359\n8274 12331\n61886 92864\n61423 92166\n39207 58879\n78295 100000\n95829 100000\n70951 100000\n49567 74448\n52742 79175\n81057 100000\n13048 19497\n66557 99811\n25512 38192\n93711 100000\n94966 100000\n62455 93716\n70882 100000\n52768 79211\n16026 23942\n38581 57926\n87122 100000\n56031 84124\n11094 16560\n51573 77449\n22167 33195\n4472 6676\n46301 69527\n9304 13880\n81625 100000\n41036 61631\n47524 71387\n29991 44945\n52810 79272\n75632 100000\n22037 32996\n63544 95322\n94659 100000\n4719 7042\n8650 12889\n45720 68650\n56395 84673\n98419 100000\n10808 16124\n88963 100000\n19490 29159\n99629 100000\n64591 96905\n75172 100000\n67510 100000\n66416 99599\n7310 10903\n34802 52230\n83912 100000\n83732 100000\n24209 36229\n78469 100000\n50966 76543\n9650 14372\n6168 9179\n13733 20521\n37180 55795\n50496 75846\n42583 63965\n57902 86923\n66981 100000\n762 1124\n82616 100000\n13891 20759\n32933 49411\n98147 100000\n79984 100000\n34555 51848\n48331 72591\n19171 28673\n45308 68031\n43729 65672\n91098 100000\n74257 100000\n7090 10564\n70132 100000\n66739 100000\n90721 100000\n20310 30417\n7262 10831\n73208 100000\n79389 100000\n590 862\n82781 100000\n81563 100000\n9928 14807\n59960 90001\n43013 64612\n81410 100000\n31075 46596\n30046 45031\n17836 26641\n42455 63778\n27988 41932\n62993 94513\n39504 59334\n52548 78881\n77510 100000\n11171 16671\n13400 20032\n44109 66244\n33632 50471\n15476 23110\n75778 100000\n73888 100000\n33878 50835\n94202 100000\n90210 100000\n82650 100000\n60962 91491\n62308 93505\n37199 55826\n67473 100000\n38688 58092\n9350 13947\n50053 75177\n72204 100000\n23365 34970\n1504 2248\n30989 46473\n20867 31250\n23091 34547\n11109 16580\n44903 67421\n40637 61029\n93561 100000\n91258 100000\n92046 100000\n43330 65098\n23786 35598\n49069 73705\n75011 100000\n741 1095\n77705 100000\n50564 75952\n86483 100000\n50162 75340\n42742 64195\n3447 5124\n48927 73489\n24938 37333\n374 548\n22077 33059\n48059 72187\n21794 32628\n11442 17084\n48150 72324\n55609 83492\n46402 69675\n90794 100000\n86005 100000\n19408 29033\n46781 70250\n22424 33582\n32369 48542\n16867 25197\n4643 6932\n86830 100000\n12444 18593\n8514 12688\n87798 100000\n2460 3657\n54097 81207\n48411 72703\n20471 30650\n7421 11074\n80674 100000\n39310 59035\n87132 100000\n27248 40811\n76847 100000\n58069 87178\n9109 13581\n50061 75190\n67218 100000\n97595 100000\n66433 99624\n62904 94387\n97393 100000\n13787 20599\n32061 48076\n15334 22899\n58125 87261\n70165 100000\n82964 100000\n17446 26075\n24671 36931\n82979 100000\n46757 70214\n14996 22378\n56190 84356\n11628 17359\n82532 100000\n89686 100000\n20191 30224\n32428 48636\n65039 97571\n10621 15826\n21558 32279\n26272 39332\n83049 100000\n44119 66256\n94168 100000\n10623 15829\n49063 73696\n43650 65560\n95928 100000\n1573 2355\n80490 100000\n39071 58679\n73435 100000\n71678 100000\n7744 11545\n8323 12403\n59932 89957\n30432 45633\n19768 29591\n47853 71885\n12340 18438\n61699 92580\n71157 100000\n36620 54956\n51185 76872\n10206 15213\n28899 43310\n95522 100000\n37819 56752\n73458 100000\n55454 83249\n67420 100000\n29974 44921\n90596 100000\n28102 42097\n50961 76535\n10933 16314\n69164 100000\n86734 100000\n71251 100000\n39612 59492\n69278 100000\n66274 99394\n66627 99920\n44570 66927\n69656 100000\n7387 11024\n51357 77132\n69907 100000\n28970 43422\n60023 90093\n6429 9571\n52609 78975\n33335 50016\n96559 100000\n4568 6832\n75741 100000\n92780 100000\n92037 100000\n75254 100000\n9052 13492\n1953 2898\n84908 100000\n78102 100000\n44199 66378\n62521 93817\n45193 67860\n99760 100000\n11197 16707\n87992 100000\n38290 57480\n65753 98621\n61575 92398\n38300 57498\n43832 65827\n6381 9497\n15755 23541\n25715 38501\n63226 94850\n3568 5312\n79080 100000\n6347 9451\n24855 37206\n80350 100000\n16219 24223\n78380 100000\n77460 100000\n96129 100000\n67058 100000\n99096 100000\n77775 100000\n67141 100000\n56531 84876\n68205 100000\n34694 52064\n26600 39830\n27137 40645\n71248 100000\n67665 100000\n86569 100000\n45608 68478\n66944 100000\n87057 100000\n16994 25387\n36217 54369\n72036 100000\n32761 49139\n11397 17014\n7226 10773\n32567 48845\n69847 100000\n82788 100000\n97270 100000\n67309 100000\n70687 100000\n16560 24739\n90999 100000\n82025 100000\n28888 43297\n97568 100000\n36556 54860\n35766 53681\n68725 100000\n21684 32469\n94379 100000\n45312 68036\n68365 100000\n76793 100000\n58104 87228\n45319 68047\n49029 73645\n30523 45774\n20205 30244\n52342 78581\n96636 100000\n28152 42171\n48919 73476\n43407 65213\n51312 77066\n96046 100000\n53133 79745\n37065 55624\n7239 10792\n36779 55200\n4667 6967\n67950 100000\n7768 11581\n5298 7917\n33788 50703\n78983 100000\n16333 24397\n40540 60879\n52759 79200\n55474 83279\n20709 31010\n77366 100000\n70334 100000\n57165 85830\n32380 48561\n25785 38598\n1456 2170\n79703 100000\n22276 33361\n99421 100000\n23082 34534\n71153 100000\n41786 62759\n57852 86848\n48770 73247\n14601 21800\n34596 51914\n27095 40582\n41898 62929\n45672 68580\n69303 100000\n43009 64606\n14038 20974\n38837 58324\n82675 100000\n87094 100000\n15084 22518\n37015 55553\n5513 8220\n31249 46857\n13175 19693\n30592 45875\n13192 19718\n50464 75796\n3053 4541\n33002 49512\n80105 100000\n9220 13747\n9354 13952\n52452 78738\n51449 77274\n29988 44940\n14709 21960\n37302 55973\n70135 100000\n14547 21726\n25608 38338\n58502 87826\n10677 15911\n46313 69546\n99930 100000\n15957 23837\n69768 100000\n19412 29039\n24350 36440\n1014 1498\n39015 58594\n46863 70377\n46498 69823\n34373 51564\n69028 100000\n28172 42204\n62389 93622\n31398 47086\n15246 22767\n52222 78406\n27198 40733\n51266 76994\n7536 11243\n69429 100000\n50560 75948\n30974 46450\n71892 100000\n78147 100000\n63047 94591\n79478 100000\n44809 67286\n66457 99664\n53302 80005\n1007 1487\n96812 100000\n89088 100000\n5790 8630\n70521 100000\n82240 100000\n87757 100000\n78066 100000\n83336 100000\n83094 100000\n62683 94065\n6336 9432\n24131 36105\n85090 100000\n74850 100000\n30835 46243\n44468 66781\n75040 100000\n44021 66117\n2865 4268\n39753 59701\n11545 17238\n11026 16459\n1594 2386\n13008 19440\n18459 27589\n39662 59565\n64488 96744\n9750 14533\n97224 100000\n9071 13522\n29144 43674\n96231 100000\n84013 100000\n77487 100000\n82024 100000\n77102 100000\n4621 6902\n53263 79947\n37756 56659\n13604 20329\n14707 21958\n53056 79634\n99605 100000\n39587 59456\n86027 100000\n65188 97786\n35707 53590\n67367 100000\n51657 77574\n95702 100000\n59783 89732\n2733 4072\n28874 43274\n97311 100000\n75670 100000\n98097 100000\n41884 62908\n1877 2793\n26120 39099\n35249 52905\n13946 20833\n79930 100000\n51875 77897\n18281 27328\n90045 100000\n74950 100000\n85288 100000\n12996 19423\n17461 26101\n93175 100000\n41310 62048\n42727 64174\n69280 100000\n95082 100000\n96306 100000\n94166 100000\n69717 100000\n18257 27290\n23804 35625\n15382 22971\n6808 10136\n58077 87190\n49223 73935\n62347 93563\n49846 74874\n56188 84354\n4521 6755\n30655 45976\n49881 74926\n55243 82918\n24028 35959\n1993 2958\n19332 28922\n63160 94756\n40537 60874\n82248 100000\n96698 100000\n89984 100000\n43537 65392\n48715 73168\n14796 22089\n46638 70034\n81885 100000\n87816 100000\n40119 60232\n34829 52270\n23976 35886\n63470 95212\n34929 52411\n72278 100000\n44062 66174\n88386 100000\n74536 100000\n9047 13486\n97255 100000\n24198 36214\n27676 41464\n2449 3641\n31044 46547\n30993 46478\n16874 25210\n57173 85845\n63915 95888\n92681 100000\n98380 100000\n38318 57526\n41361 62123\n85666 100000\n78114 100000\n23843 35686\n38525 57844\n89829 100000\n7905 11781\n46085 69193\n63359 95049\n96311 100000\n40523 60853\n2502 3721\n46611 69995\n42145 63295\n50618 76037\n49429 74245\n6194 9219\n63080 94636\n87468 100000\n53635 80500\n11684 17441\n21935 32843\n20778 31118\n69671 100000\n55498 83315\n79903 100000\n91097 100000\n63336 95014\n97822 100000\n15938 23808\n77437 100000\n60745 91162\n68614 100000\n42617 64015\n97129 100000\n38685 58088\n55681 83604\n79547 100000\n19489 29158\n79596 100000\n52989 79543\n74447 100000\n88031 100000\n10703 15956\n93519 100000\n12883 19252\n99337 100000\n54520 81836\n72242 100000\n56512 84844\n88712 100000\n92224 100000\n20568 30797\n2035 3023\n64145 96225\n84016 100000\n91840 100000\n52771 79216\n99472 100000\n46803 70285\n19538 29236\n92441 100000\n83228 100000\n19400 29022\n94848 100000\n13417 20056\n59286 89000\n90970 100000\n5604 8350\n18246 27274\n57468 86273\n10382 15470\n16503 24655\n10653 15874\n32870 49317\n483 715\n80544 100000\n22153 33174\n69518 100000\n88523 100000\n21516 32215\n88148 100000\n50192 75379\n323 472\n27063 40534\n51261 76987\n32490 48734\n25513 38193\n70475 100000\n82185 100000\n40520 60848\n44131 66276\n82236 100000\n21545 32259\n44862 67364\n81395 100000\n80480 100000\n98576 100000\n60168 90312\n90976 100000\n59755 89691\n47263 70992\n45263 67964\n79855 100000\n36405 54640\n42808 64295\n28465 42660\n95777 100000\n54392 81642\n43980 66056\n43104 64747\n3872 5777\n87710 100000\n93212 100000\n33347 50038\n74763 100000\n85016 100000\n81832 100000\n36426 54671\n63694 95550\n24910 37293\n17572 26262\n57058 85667\n23117 34590\n73504 100000\n82475 100000\n73193 100000\n12880 19248\n73873 100000\n13391 20016\n59273 88978\n99745 100000\n70624 100000\n52686 79092\n24328 36407\n70003 100000\n85365 100000\n55732 83679\n68316 100000\n81354 100000\n8041 11990\n69366 100000\n54811 82273\n29968 44909\n59708 89623\n75640 100000\n56929 85479\n48500 72840\n68692 100000\n68665 100000\n44436 66738\n83362 100000\n35654 53505\n68644 100000\n97384 100000\n22073 33054\n91380 100000\n1280 1901\n98202 100000\n7644 11407\n36590 54908\n49184 73875\n42764 64232\n14888 22221\n19443 29086\n84825 100000\n90136 100000\n77852 100000\n59343 89082\n65694 98526\n30573 45847\n47690 71644\n9630 14343\n49848 74877\n79751 100000\n55969 84036\n61697 92577\n66052 99068\n80861 100000\n31942 47894\n28956 43398\n26167 39171\n39321 59050\n91383 100000\n44073 66192\n30520 45769\n20686 30975\n65142 97720\n62587 93916\n86258 100000\n81055 100000\n56012 84095\n10284 15331\n1386 2065\n71190 100000\n73185 100000\n79709 100000\n65754 98622\n37044 55595\n994 1468\n67200 100000\n26330 39422\n21068 31543\n8681 12940\n65330 97997\n67856 100000\n77298 100000\n28664 42960\n80693 100000\n42503 63845\n38160 57273\n54771 82213\n85263 100000\n99476 100000\n51556 77425\n28105 42101\n17025 25431\n68413 100000\n24587 36796\n6206 9235\n14000 20916\n22464 33639\n72842 100000\n98406 100000\n81598 100000\n90957 100000\n81662 100000\n7084 10554\n11260 16804\n48001 72102\n60307 90506\n95309 100000\n65182 97778\n32944 49425\n82141 100000\n67247 100000\n964 1426\n2626 3913\n89197 100000\n36852 55311\n26193 39210\n3969 5922\n89953 100000\n30756 46123\n32071 48093\n26239 39280\n79557 100000\n31488 47220\n29317 43938\n32304 48442\n76184 100000\n24050 35992\n88801 100000\n16000 23905\n20160 30177\n950 1404\n30607 45900\n21138 31648\n76647 100000\n64610 96936\n23338 34926\n67481 100000\n52361 78607\n42259 63476\n96945 100000\n40268 60458\n70511 100000\n98036 100000\n96991 100000\n86733 100000\n58306 87531\n28518 42742\n94511 100000\n53789 80735\n65 93\n27989 41934\n17043 25457\n93795 100000\n24648 36890\n28190 42234\n43673 65596\n43088 64721\n31107 46642\n60648 91018\n33399 50117\n5958 8874\n44362 66622\n578 846\n86813 100000\n33762 50663\n75818 100000\n24683 36950\n14671 21911\n69792 100000\n38920 58449\n57209 85898\n43748 65701\n43202 64905\n32804 49205\n29995 44953\n48002 72104\n28644 42930\n70688 100000\n18754 28036\n10349 15428\n18282 27330\n31198 46781\n51915 77954\n6458 9620\n2349 3492\n78031 100000\n7876 11739\n93075 100000\n23027 34453\n92816 100000\n34010 51024\n26000 38920\n946 1398\n81366 100000\n96035 100000\n16464 24593\n73968 100000\n83314 100000\n52876 79370\n70328 100000\n92052 100000\n97773 100000\n47179 70857\n81496 100000\n73927 100000\n73344 100000\n17643 26368\n78797 100000\n11857 17712\n36839 55293\n6263 9322\n33651 50499\n90238 100000\n80736 100000\n35442 53191\n24129 36101\n36727 55117\n49440 74260\n42216 63406\n48898 73445\n84472 100000\n53649 80519\n79931 100000\n98995 100000\n38840 58329\n99864 100000\n58313 87542\n21525 32228\n16512 24668\n29772 44620\n76406 100000\n95586 100000\n56171 84329\n23000 34416\n8451 12592\n85907 100000\n78230 100000\n47286 71024\n77079 100000\n10479 15613\n76045 100000\n53593 80438\n15865 23706\n2110 3142\n99379 100000\n52213 78394\n55616 83504\n46629 70022\n35355 53056\n93062 100000\n12834 19183\n89604 100000\n20226 30275\n10899 16259\n98266 100000\n35741 53645\n600 876\n97597 100000\n44538 66884\n67004 100000\n74865 100000\n67338 100000\n77151 100000\n94878 100000\n70473 100000\n96918 100000\n85370 100000\n14860 22179\n28078 42065\n98685 100000\n49174 73856\n97234 100000\n60759 91186\n12770 19098\n81483 100000\n24082 36034\n4938 7377\n62970 94480\n18046 26963\n50493 75841\n88927 100000\n86749 100000\n87370 100000\n18065 26993\n94741 100000\n47055 70666\n41206 61889\n55816 83811\n26131 39115\n75906 100000\n85234 100000\n41450 62253\n20094 30083\n1691 2522\n44604 66975\n38925 58459\n53464 80246\n86855 100000\n74300 100000\n57019 85611\n48083 72224\n40525 60856\n90683 100000\n29293 43901\n39353 59100\n40106 60213\n47855 71888\n37213 55846\n14015 20942\n28441 42620\n37549 56355\n93112 100000\n72422 100000\n42285 63515\n91498 100000\n97293 100000\n56306 84536\n3124 4647\n43024 64627\n48471 72794\n56926 85473\n87290 100000\n6324 9409\n46046 69131\n3325 4941\n32705 49056\n54805 82264\n13585 20299\n18925 28295\n59206 88880\n98101 100000\n56987 85563\n57110 85749\n89251 100000\n95853 100000\n47345 71113\n23600 35315\n77144 100000\n65019 97543\n41683 62605\n43886 65908\n82476 100000\n45074 67681\n31857 47761\n85751 100000\n78000 100000\n25012 37452\n89421 100000\n288 420\n19519 29207\n12676 18944\n93893 100000\n55237 82910\n38076 57144\n53878 80873\n52156 78308\n19910 29800\n12761 19086\n83597 100000\n93405 100000\n39576 59437\n4194 6263\n29557 44289\n11262 16808\n41713 62650\n14193 21207\n92617 100000\n24727 37014\n49414 74223\n41439 62239\n35869 53839\n9803 14611\n84327 100000\n62407 93649\n8993 13407\n75614 100000\n33979 50978\n72725 100000\n6601 9827\n11424 17052\n78600 100000\n1410 2102\n84175 100000\n59159 88809\n83015 100000\n66286 99412\n13491 20161\n256 370\n41731 62676\n44240 66436\n6913 10294\n49004 73607\n20509 30710\n19971 29891\n34424 51643\n43396 65197\n73740 100000\n99987 100000\n37261 55921\n34107 51167\n78001 100000\n65587 98378\n49301 74049\n32668 49000\n88273 100000\n16465 24595\n64984 97488\n46998 70578\n47227 70932\n65989 98966\n20759 31087\n25071 37536\n30778 46158\n29275 43873\n89860 100000\n74932 100000\n94530 100000\n22981 34387\n59879 89875\n59466 89265\n57689 86604\n38570 57909\n48720 73177\n73476 100000\n69426 100000\n72064 100000\n86347 100000\n79847 100000\n73295 100000\n32499 48747\n98014 100000\n60751 91172\n12115 18101\n81766 100000\n48826 73337\n8816 13140\n12502 18680\n39890 59901\n69394 100000\n1604 2398\n77895 100000\n25331 37920\n95329 100000\n18531 27697\n17064 25491\n88199 100000\n70992 100000\n78426 100000\n4826 7205\n4146 6188\n74384 100000\n24632 36865\n77352 100000\n77641 100000\n20068 30041\n9737 14512\n17061 25485\n10369 15454\n7982 11897\n18622 27829\n97462 100000\n16210 24211\n79917 100000\n11455 17102\n46485 69803\n50174 75355\n50015 75120\n82447 100000\n33103 49663\n18930 28304\n69218 100000\n50654 76086\n80391 100000\n73025 100000\n69655 100000\n34102 51159\n50309 75555\n73361 100000\n61266 91929\n9532 14206\n89231 100000\n78430 100000\n72556 100000\n72134 100000\n36752 55158\n56459 84770\n94937 100000\n37590 56417\n86151 100000\n87589 100000\n11557 17255\n73332 100000\n87415 100000\n54615 81977\n11507 17180\n64814 97232\n35125 52716\n88746 100000\n22614 33853\n35941 53947\n90826 100000\n79133 100000\n26895 40274\n77765 100000\n15313 22866\n5679 8465\n56766 85227\n28892 43302\n89417 100000\n3502 5210\n27503 41202\n39315 59040\n78633 100000\n61882 92858\n34118 51185\n51113 76761\n8674 12929\n46577 69946\n168 238\n41094 61720\n68837 100000\n10982 16391\n84812 100000\n48945 73517\n25967 38864\n81967 100000\n79660 100000\n51523 77377\n44459 66769\n83468 100000\n48425 72723\n46849 70356\n78091 100000\n12424 18562\n13373 19991\n87356 100000\n20586 30825\n77827 100000\n27440 41103\n90486 100000\n61161 91787\n32041 48048\n84411 100000\n62773 94195\n19498 29171\n82843 100000\n99795 100000\n64313 96474\n74345 100000\n63 91\n17100 25545\n76048 100000\n48044 72166\n84407 100000\n76469 100000\n28726 43047\n45576 68426\n16151 24126\n1538 2298\n92598 100000\n29880 44779\n91251 100000\n11626 17356\n30080 45082\n53181 79813\n68416 100000\n4037 6018\n36358 54575\n37215 55849\n38976 58534\n36547 54849\n1360 2027\n8426 12555\n98487 100000\n73481 100000\n31929 47874\n95369 100000\n14288 21346\n96165 100000\n79735 100000\n86644 100000\n51891 77920\n45219 67898\n87516 100000\n87526 100000\n71427 100000\n63484 95234\n32833 49251\n57463 86266\n31239 46842\n87985 100000\n75734 100000\n16619 24823\n16598 24793\n66095 99124\n62899 94380\n20809 31164\n45218 67896\n94788 100000\n26948 40359\n81478 100000\n45000 67567\n33074 49621\n23211 34734\n68175 100000\n92414 100000\n8520 12698\n62272 93452\n27746 41573\n50803 76306\n49420 74231\n78106 100000\n56146 84292\n26262 39317\n67162 100000\n95235 100000\n89014 100000\n49166 73846\n4961 7412\n46914 70450\n20156 30172\n75987 100000\n48419 72714\n57242 85944\n3051 4538\n38602 57961\n79280 100000\n50544 75928\n24431 36559\n26556 39765\n5005 7482\n56721 85162\n14192 21206\n67443 100000\n75555 100000\n57891 86908\n35852 53813\n90491 100000\n48427 72726\n94863 100000\n9657 14383\n89504 100000\n5251 7844\n10441 15555\n42689 64116\n72734 100000\n36628 54968\n20208 30249\n35951 53962\n81442 100000\n98792 100000\n3680 5486\n95762 100000\n61404 92138\n96685 100000\n9563 14245\n53987 81037\n57888 86903\n53778 80718\n45476 68274\n25420 38058\n57285 86008\n48382 72660\n8503 12670\n29746 44582\n61045 91615\n76181 100000\n83544 100000\n73135 100000\n59189 88854\n96977 100000\n31200 46784\n2937 4373\n14508 21662\n76209 100000\n81711 100000\n70018 100000\n65904 98842\n50428 75739\n3411 5069\n79820 100000\n73829 100000\n9446 14084\n3396 5046\n54316 81529\n47571 71457\n26349 39453\n57751 86690\n19141 28626\n54345 81571\n66092 99120\n34450 51689\n60795 91243\n71758 100000\n90600 100000\n28636 42919\n10751 16036\n42101 63226\n38826 58309\n30780 46160\n98455 100000\n78432 100000\n91503 100000\n7689 11471\n97983 100000\n3398 5049\n51323 77081\n77454 100000\n50755 76235\n97997 100000\n53286 79979\n93616 100000\n63962 95957\n76303 100000\n15573 23265\n76279 100000\n9819 14635\n33989 50995\n83909 100000\n96573 100000\n70871 100000\n87194 100000\n99799 100000\n81701 100000\n44475 66792\n21603 32349\n16041 23962\n79685 100000\n74009 100000\n68559 100000\n97223 100000\n3634 5417\n49040 73660\n18038 26953\n81145 100000\n49566 74447\n64221 96338\n81095 100000\n80396 100000\n5368 8014\n35170 52782\n86572 100000\n75023 100000\n79373 100000\n12028 17965\n26549 39756\n22956 34349\n35048 52593\n51358 77133\n99924 100000\n51772 77745\n37841 56784\n62898 94378\n97723 100000\n11770 17575\n99806 100000\n19594 29322\n76445 100000\n47361 71139\n51670 77592\n91541 100000\n53638 80503\n88870 100000\n35402 53127\n85571 100000\n62172 93298\n80106 100000\n54404 81660\n94495 100000\n83123 100000\n32151 48214\n65141 97718\n81116 100000\n86599 100000\n42497 63837\n47903 71958\n29723 44547\n90754 100000\n88028 100000\n50690 76136\n19816 29662\n84896 100000\n64891 97347\n6069 9032\n73179 100000\n21829 32683\n41953 63011\n72756 100000\n43864 65875\n57861 86862\n95354 100000\n57732 86664\n99481 100000\n10242 15267\n17813 26611\n96342 100000\n18158 27144\n88837 100000\n71165 100000\n831 1227\n86827 100000\n33745 50634\n12105 18086\n84560 100000\n87848 100000\n60232 90402\n37675 56541\n61608 92443\n71602 100000\n61967 92984\n56504 84832\n39961 60003\n899 1324\n94727 100000\n75580 100000\n88001 100000\n31840 47735\n41301 62032\n56654 85063\n5796 8638\n71704 100000\n21469 32147\n5986 8915\n38244 57411\n7072 10534\n11384 16995\n13154 19662\n51444 77266\n77101 100000\n57328 86075\n6384 9502\n32275 48397\n91579 100000\n5916 8810\n53596 80443\n42825 64324\n81580 100000\n99949 100000\n24067 36013\n11732 17515\n69889 100000\n27094 40581\n32224 48320\n49671 74608\n87709 100000\n49601 74501\n43237 64959\n74700 100000\n78160 100000\n45352 68094\n45444 68233\n63664 95504\n92313 100000\n18583 27775\n74283 100000\n68653 100000\n66368 99533\n11431 17064\n89748 100000\n98674 100000\n17496 26154\n22457 33630\n20716 31022\n65060 97603\n78582 100000\n82348 100000\n37316 55994\n66995 100000\n72295 100000\n15840 23669\n59672 89570\n18401 27505\n31272 46893\n91388 100000\n68691 100000\n50178 75360\n21477 32161\n47896 71946\n24996 37428\n31825 47716\n85469 100000\n44944 67485\n10948 16337\n1116 1654\n18526 27690\n65178 97771\n95321 100000\n94140 100000\n24359 36455\n69968 100000\n63015 94546\n28641 42926\n86062 100000\n87941 100000\n85276 100000\n54557 81897\n57876 86884\n4854 7247\n28431 42604\n12577 18795\n55501 83319\n32101 48137\n37860 56812\n13362 19972\n26867 40234\n5565 8295\n61807 92743\n72760 100000\n36380 54603\n50004 75102\n30723 46073\n18654 27880\n58143 87286\n95536 100000\n98412 100000\n6387 9507\n76974 100000\n83775 100000\n64764 97159\n13850 20692\n195 281\n32349 48511\n70036 100000\n72680 100000\n79534 100000\n69482 100000\n56665 85079\n63352 95038\n63041 94583\n76496 100000\n68505 100000\n27774 41612\n21244 31809\n16409 24514\n93798 100000\n29524 44239\n10240 15265\n13408 20043\n12398 18527\n93977 100000\n52569 78914\n44279 66495\n46848 70354\n59747 89681\n38715 58134\n38681 58083\n53010 79572\n58587 87957\n34511 51781\n60676 91057\n50276 75501\n55892 83920\n86648 100000\n6523 9715\n48192 72391\n33709 50582\n27773 41611\n29416 44082\n91034 100000\n8780 13079\n76152 100000\n19724 29526\n12721 19021\n21030 31489\n12481 18647\n24605 36822\n40565 60915\n98313 100000\n44699 67122\n52369 78619\n83048 100000\n24596 36811\n29857 44742\n81183 100000\n429 626\n19509 29191\n27067 40541\n70841 100000\n35082 52645\n70571 100000\n3808 5687\n91879 100000\n41785 62758\n94072 100000\n66107 99142\n69029 100000\n49706 74662\n9065 13511\n5788 8627\n85648 100000\n59532 89364\n42080 63192\n32059 48074\n97565 100000\n48161 72342\n27148 40661\n26995 40432\n83833 100000\n65854 98769\n41743 62694\n70981 100000\n6780 10092\n85056 100000\n11928 17817\n81371 100000\n69489 100000\n43212 64920\n26942 40350\n20108 30103\n56108 84240\n38507 57813\n9289 13858\n32408 48605\n39498 59325\n94658 100000\n90006 100000\n88235 100000\n74878 100000\n91219 100000\n79922 100000\n5444 8124\n42753 64215\n28468 42663\n41512 62351\n78767 100000\n20181 30209\n59534 89367\n80404 100000\n17075 25506\n39431 59222\n58670 88087\n1766 2631\n63115 94684\n81514 100000\n4823 7199\n86818 100000\n89058 100000\n45684 68597\n72400 100000\n29829 44705\n1224 1823\n91372 100000\n39024 58607\n96459 100000\n55384 83141\n19074 28520\n92739 100000\n9457 14100\n1966 2918\n28626 42905\n31597 47387\n35647 53495\n27653 41430\n97884 100000\n25551 38249\n74386 100000\n20366 30500\n72609 100000\n19649 29409\n24479 36634\n42701 64134\n68472 100000\n59690 89596\n50845 76366\n54823 82290\n8136 12130\n92477 100000\n41609 62497\n63123 94699\n88120 100000\n45819 68799\n37497 56277\n80126 100000\n6179 9197\n1802 2683\n3186 4741\n99405 100000\n49276 74011\n11559 17259\n98964 100000\n99989 100000\n98461 100000\n6553 9758\n15454 23076\n63442 95164\n22413 33569\n57162 85825\n43204 64909\n42303 63544\n8662 12909\n60672 91051\n26925 40323\n24024 35954\n91459 100000\n53963 81001\n31633 47443\n1190 1771\n74601 100000\n87051 100000\n77292 100000\n97823 100000\n86836 100000\n35330 53022\n50925 76477\n3030 4507\n1473 2199\n24098 36058\n18196 27196\n6139 9135\n29040 43524\n43792 65764\n56233 84418\n22977 34382\n53508 80309\n7983 11898\n56220 84399\n92631 100000\n41051 61654\n7527 11229\n80451 100000\n21395 32028\n26130 39113\n92527 100000\n22572 33790\n14293 21354\n90391 100000\n94580 100000\n57956 87003\n72715 100000\n98871 100000\n21306 31898\n81719 100000\n75001 100000\n17278 25818\n32310 48452\n19330 28920\n95029 100000\n64848 97284\n12975 19390\n89659 100000\n50041 75159\n34702 52077\n92096 100000\n15225 22732\n45764 68714\n34454 51694\n94413 100000\n99158 100000\n27603 41356\n89101 100000\n56404 84686\n35252 52909\n57116 85756\n14921 22269\n35483 53251\n73045 100000\n17251 25775\n42695 64125\n52816 79280\n19915 29807\n14801 22098\n66951 100000\n546 805\n55797 83779\n24517 36692\n13471 20133\n55274 82970\n96191 100000\n63494 95251\n37241 55891\n21864 32739\n60070 90164\n36968 55477\n84725 100000\n46229 69414\n33670 50525\n25568 38277\n83565 100000\n67870 100000\n34723 52114\n74502 100000\n81201 100000\n34122 51193\n87378 100000\n51762 77727\n88002 100000\n50113 75269\n69414 100000\n52739 79171\n69508 100000\n18718 27977\n70506 100000\n71353 100000\n87129 100000\n78703 100000\n21082 31565\n83739 100000\n12894 19270\n42969 64546\n21259 31829\n79632 100000\n34923 52403\n88527 100000\n75538 100000\n68780 100000\n26826 40169\n31584 47369\n46869 70384\n2456 3651\n67461 100000\n32405 48600\n9884 14735\n31968 47934\n5438 8118\n263 380\n34978 52490\n8984 13393\n18596 27794\n46242 69434\n40217 60382\n94841 100000\n92954 100000\n94162 100000\n32564 48841\n30086 45090\n11627 17357\n70456 100000\n91221 100000\n68390 100000\n76887 100000\n14774 22054\n35641 53487\n92326 100000\n14358 21447\n8179 12196\n76375 100000\n39013 58590\n91910 100000\n23348 34943\n64108 96173\n59463 89261\n47782 71785\n40097 60201\n70896 100000\n12264 18321\n76504 100000\n68322 100000\n2934 4369\n72007 100000\n91648 100000\n30956 46424\n602 879\n69898 100000\n33290 49941\n35712 53599\n43034 64643\n69451 100000\n5458 8142\n91393 100000\n53735 80651\n27101 40593\n97375 100000\n3384 5030\n15252 22775\n1421 2118\n71968 100000\n86531 100000\n42302 63542\n10690 15932\n54892 82392\n35017 52547\n75294 100000\n97186 100000\n39601 59478\n93337 100000\n36863 55326\n83064 100000\n30280 45397\n98803 100000\n84100 100000\n89219 100000\n29997 44957\n4089 6097\n6848 10194\n7118 10609\n29661 44454\n67117 100000\n21154 31674\n33713 50587\n57427 86218\n50189 75375\n36603 54929\n19401 29024\n80497 100000\n75549 100000\n36344 54554\n14028 20958\n61835 92784\n40594 60959\n41462 62270\n27045 40505\n50396 75686\n24925 37313\n9190 13699\n54347 81575\n71940 100000\n13399 20030\n2701 4023\n1401 2088\n13128 19623\n59377 89135\n35681 53546\n43066 64692\n46549 69903\n34376 51568\n92808 100000\n24754 37054\n66947 100000\n38178 57301\n98919 100000\n55035 82601\n33714 50589\n47249 70969\n10573 15752\n85559 100000\n75692 100000\n54173 81319\n54655 82039\n17913 26764\n76906 100000\n26692 39968\n64444 96672\n25235 37778\n70997 100000\n77269 100000\n73142 100000\n90302 100000\n13672 20432\n95206 100000\n51464 77295\n85153 100000\n21057 31528\n84609 100000\n99660 100000\n46118 69245\n63817 95741\n13522 20206\n9438 14075\n70635 100000\n18390 27486\n74864 100000\n24441 36574\n11946 17844\n18599 27800\n50339 75601\n92549 100000\n6480 9655\n69728 100000\n63485 95236\n77267 100000\n20290 30383\n20348 30475\n78019 100000\n97554 100000\n27665 41447\n36734 55129\n90626 100000\n56178 84339\n59022 88604\n62195 93330\n59220 88900\n67675 100000\n83425 100000\n8653 12894\n46576 69944\n80564 100000\n15985 23880\n3586 5338\n17957 26832\n7752 11557\n38174 57296\n45967 69018\n57524 86361\n18738 28008\n41547 62409\n77679 100000\n60779 91218\n19766 29587\n14300 21363\n20145 30158\n94036 100000\n6861 10214\n56540 84888\n44817 67298\n44097 66228\n19204 28721\n51110 76757\n57070 85684\n10038 14971\n10160 15148\n77809 100000\n59909 89923\n48779 73260\n98699 100000\n2894 4314\n27334 40944\n51652 77568\n78349 100000\n67811 100000\n20668 30947\n3472 5163\n96941 100000\n92601 100000\n29337 43967\n41164 61824\n82068 100000\n5178 7739\n40174 60313\n34268 51407\n22830 34166\n32320 48467\n37306 55978\n58831 88326\n64065 96107\n20749 31074\n46647 70046\n14281 21336\n69082 100000\n62943 94444\n7927 11813\n65613 98413\n81027 100000\n89812 100000\n8808 13125\n55071 82659\n72000 100000\n16090 24037\n19644 29401\n82865 100000\n65408 98115\n24515 36690\n72612 100000\n23130 34609\n77441 100000\n47934 72002\n20551 30773\n15900 23754\n58637 88036\n80678 100000\n94880 100000\n8387 12500\n10211 15220\n18682 27919\n35994 54029\n39854 59849\n23542 35233\n92940 100000\n19979 29903\n8701 12971\n26295 39366\n33238 49866\n44781 67246\n64228 96350\n8771 13067\n40306 60517\n78513 100000\n29488 44188\n87884 100000\n90155 100000\n28043 42011\n55914 83954\n91906 100000\n54265 81452\n88526 100000\n65366 98051\n60837 91307\n85578 100000\n46082 69188\n59094 88710\n18841 28165\n92190 100000\n50102 75253\n2022 3001\n93927 100000\n49285 74025\n18126 27094\n63536 95312\n55160 82792\n63216 94836\n95859 100000\n16252 24274\n35586 53403\n42085 63201\n50880 76415\n60436 90701\n18679 27916\n80301 100000\n93193 100000\n17130 25592\n99870 100000\n52259 78462\n54605 81963\n27281 40858\n12682 18955\n9192 13702\n62796 94229\n36759 55171\n47019 70610\n56460 84772\n16672 24905\n77506 100000\n58835 88331\n11859 17714\n17411 26021\n818 1207\n45146 67787\n43630 65530\n15016 22410\n48420 72716\n64082 96133\n41962 63025\n57813 86790\n78330 100000\n42541 63895\n88933 100000\n19103 28566\n98076 100000\n76822 100000\n6521 9712\n54966 82502\n50899 76441\n364 533\n37529 56324\n60116 90232\n37585 56409\n17935 26797\n61479 92256\n90854 100000\n64798 97207\n80882 100000\n548 807\n33755 50651\n49718 74681\n24857 37209\n16837 25153\n4609 6885\n59872 89864\n29269 43863\n64182 96278\n83695 100000\n63723 95591\n53108 79705\n12097 18073\n35626 53464\n72862 100000\n16489 24633\n84844 100000\n37109 55689\n99726 100000\n686 1010\n74895 100000\n27057 40526\n89833 100000\n55008 82565\n11428 17058\n56593 84966\n66026 99029\n98298 100000\n30231 45319\n13877 20737\n76188 100000\n86741 100000\n29705 44519\n77850 100000\n72951 100000\n82615 100000\n46753 70207\n27176 40704\n82620 100000\n71391 100000\n71657 100000\n52806 79265\n11183 16691\n46511 69842\n67369 100000\n2873 4281\n90075 100000\n93644 100000\n16171 24154\n78776 100000\n73451 100000\n84403 100000\n93292 100000\n74691 100000\n20745 31067\n42418 63727\n13440 20088\n73139 100000\n4894 7314\n80926 100000\n77939 100000\n52453 78739\n63506 95267\n26276 39338\n69953 100000\n86321 100000\n79422 100000\n9904 14769\n90092 100000\n49287 74029\n6004 8943\n72649 100000\n75196 100000\n6633 9873\n1736 2587\n85152 100000\n90549 100000\n89586 100000\n45723 68654\n22305 33402\n89335 100000\n76795 100000\n20994 31439\n13547 20241\n16863 25191\n57091 85717\n78970 100000\n47357 71132\n40394 60648\n25080 37547\n59754 89690\n66661 99971\n93255 100000\n8722 13003\n54608 81967\n27008 40451\n63297 94956\n8460 12608\n34611 51935\n16113 24070\n3618 5392\n36441 54693\n43360 65143\n56509 84838\n123 169\n25516 38197\n18225 27243\n61085 91676\n73317 100000\n4660 6958\n27022 40473\n28051 42021\n18062 26989\n2339 3478\n59167 88818\n43102 64744\n7053 10508\n47529 71394\n51538 77401\n99541 100000\n50270 75490\n73518 100000\n42445 63764\n13448 20100\n71908 100000\n87888 100000\n27803 41654\n16734 24997\n84955 100000\n830 1225\n50895 76435\n20564 30791\n9791 14597\n47793 71798\n366 536\n78929 100000\n17977 26863\n45088 67701\n39543 59391\n64408 96616\n96706 100000\n15882 23730\n32522 48777\n33859 50806\n29453 44136\n80388 100000\n67544 100000\n92416 100000\n19605 29339\n37439 56189\n22829 34164\n16354 24430\n10343 15420\n48018 72128\n59950 89984\n10951 16342\n39827 59810\n1371 2045\n39834 59820\n7572 11302\n4312 6437\n43301 65055\n16982 25365\n5527 8240\n38347 57572\n3042 4525\n5109 7638\n11887 17756\n63680 95529\n3512 5228\n29498 44201\n1749 2607\n20219 30266\n88970 100000\n42780 64257\n70474 100000\n48539 72896\n6693 9960\n46835 70332\n53117 79720\n57968 87020\n72467 100000\n10094 15054\n13851 20694\n53120 79724\n40902 61425\n1469 2193\n83165 100000\n6902 10279\n74153 100000\n31794 47667\n50808 76313\n38478 57767\n80939 100000\n73359 100000\n29228 43807\n1390 2071\n20275 30357\n29230 43809\n56157 84309\n75689 100000\n89540 100000\n7928 11815\n77509 100000\n42551 63912\n71066 100000\n76117 100000\n82895 100000\n2287 3406\n40355 60587\n90040 100000\n29344 43976\n88336 100000\n66123 99162\n98887 100000\n63428 95146\n95116 100000\n19095 28553\n72359 100000\n85357 100000\n44307 66536\n44526 66867\n26036 38973\n9475 14122\n10125 15098\n20049 30014\n71969 100000\n21714 32514\n28314 42419\n63054 94599\n90977 100000\n82789 100000\n29409 44071\n4891 7308\n43586 65463\n57721 86649\n82149 100000\n42960 64532\n1264 1880\n57179 85855\n87545 100000\n27580 41322\n82526 100000\n70309 100000\n22076 33058\n24138 36116\n37050 55603\n49740 74715\n61505 92297\n99812 100000\n12877 19245\n23350 34947\n67907 100000\n50138 75305\n28163 42190\n21297 31887\n20548 30767\n31454 47171\n29955 44890\n9882 14733\n47243 70957\n79053 100000\n13336 19934\n64771 97168\n94804 100000\n11393 17008\n29445 44124\n1251 1863\n21912 32808\n49473 74309\n70664 100000\n41382 62155\n26465 39626\n47804 71812\n2581 3844\n32803 49204\n10109 15076\n89845 100000\n57354 86113\n98383 100000\n82987 100000\n24074 36023\n51361 77137\n27037 40494\n72207 100000\n76731 100000\n48753 73224\n57518 86350\n80566 100000\n42914 64461\n4743 7080\n81460 100000\n26802 40134\n19685 29465\n12945 19345\n11640 17375\n95350 100000\n73095 100000\n30890 46323\n27154 40670\n15580 23277\n41377 62147\n30485 45715\n64301 96458\n70718 100000\n12716 19013\n34536 51819\n79767 100000\n75600 100000\n56204 84375\n34247 51379\n24673 36935\n99648 100000\n65603 98401\n67084 100000\n59822 89790\n94474 100000\n75316 100000\n53688 80581\n63106 94670\n63075 94630\n82379 100000\n90231 100000\n1919 2853\n44680 67092\n58962 88519\n82322 100000\n32359 48526\n89291 100000\n15603 23313\n41982 63055\n27521 41233\n63389 95090\n54977 82517\n5495 8193\n30519 45767\n68463 100000\n38364 57600\n45923 68951\n42075 63184\n90129 100000\n46493 69817\n51484 77323\n7356 10979\n47339 71103\n90192 100000\n58976 88539\n94068 100000\n37571 56387\n33657 50507\n99920 100000\n94233 100000\n39856 59852\n88408 100000\n65077 97626\n36921 55410\n95132 100000\n91886 100000\n7908 11786\n91860 100000\n60254 90435\n50853 76378\n14153 21147\n35382 53095\n87030 100000\n60244 90418\n53291 79987\n35430 53169\n28157 42180\n20291 30384\n71138 100000\n73429 100000\n2741 4082\n5393 8053\n27470 41149\n8606 12824\n13021 19459\n37351 56046\n59347 89089\n64769 97165\n68587 100000\n51208 76906\n36201 54345\n71765 100000\n320 467\n61421 92162\n83029 100000\n43929 65976\n26478 39647\n30422 45617\n10417 15520\n11173 16674\n46262 69466\n24267 36315\n27537 41256\n88452 100000\n49055 73684\n59723 89644\n15291 22835\n95086 100000\n60309 90509\n1417 2112\n88958 100000\n23602 35317\n93399 100000\n31396 47083\n41514 62355\n26753 40058\n72473 100000\n44720 67154\n36329 54532\n63662 95501\n54315 81527\n2187 3256\n39318 59045\n98337 100000\n74304 100000\n18100 27049\n96021 100000\n820 1210\n87674 100000\n5621 8376\n99550 100000\n76890 100000\n78670 100000\n42193 63366\n23704 35475\n63783 95686\n5600 8345\n57962 87012\n84879 100000\n20665 30944\n15000 22385\n91271 100000\n87335 100000\n58394 87665\n22971 34370\n43706 65641\n62812 94252\n65673 98497\n98585 100000\n21058 31529\n9260 13811\n94120 100000\n2497 3712\n26658 39918\n28416 42578\n90166 100000\n26211 39239\n8524 12703\n46552 69907\n31979 47952\n40008 60075\n66547 99797\n4365 6515\n5698 8497\n26125 39105\n73019 100000\n56897 85435\n64304 96462\n46951 70505\n57568 86427\n65977 98946\n60843 91314\n3435 5106\n77471 100000\n60350 90571\n44180 66349\n24436 36565\n45598 68462\n43655 65568\n49152 73826\n60415 90668\n92467 100000\n80993 100000\n52056 78159\n23024 34448\n31569 47346\n38221 57372\n8882 13238\n89907 100000\n96208 100000\n16131 24096\n44753 67205\n39898 59912\n39189 58856\n72972 100000\n51502 77349\n85141 100000\n73058 100000\n85557 100000\n37735 56630\n96118 100000\n80334 100000\n42488 63825\n55200 82850\n1585 2374\n98665 100000\n59439 89227\n37404 56136\n54697 82101\n70268 100000\n36808 55246\n75330 100000\n42749 64209\n81987 100000\n28564 42807\n36950 55450\n45458 68251\n11650 17389\n67801 100000\n2711 4038\n20190 30222\n7851 11702\n39452 59255\n33923 50896\n9476 14124\n17772 26545\n86372 100000\n2071 3079\n84815 100000\n21216 31764\n90526 100000\n57837 86824\n38470 57752\n75840 100000\n35779 53701\n3519 5238\n56394 84671\n2260 3364\n3394 5044\n6039 8988\n30560 45827\n35986 54016\n6760 10061\n44631 67018\n19066 28508\n5929 8829\n57130 85776\n55343 83079\n25741 38536\n64691 97054\n72627 100000\n55808 83797\n23507 35184\n49622 74532\n91487 100000\n92917 100000\n24015 35941\n82461 100000\n15459 23083\n65314 97975\n52004 78085\n80316 100000\n89398 100000\n74060 100000\n59727 89651\n74311 100000\n17163 25646\n64112 96179\n9223 13751\n99945 100000\n37517 56305\n95935 100000\n97817 100000\n3450 5128\n2297 3419\n71592 100000\n81770 100000\n20770 31104\n5547 8268\n91786 100000\n13015 19448\n944 1395\n57423 86212\n5189 7755\n63946 95933\n93768 100000\n10022 14944\n93285 100000\n71108 100000\n13894 20763\n12025 17960\n73871 100000\n4046 6031\n57072 85687\n54936 82457\n68611 100000\n41697 62627\n27291 40876\n15561 23245\n20582 30819\n41225 61917\n82579 100000\n26924 40321\n28506 42724\n70226 100000\n17154 25632\n21465 32141\n84718 100000\n22106 33105\n194 279\n85231 100000\n60644 91011\n54989 82538\n32386 48572\n46297 69520\n65718 98566\n50509 75867\n34341 51513\n45357 68101\n39383 59145\n24457 36601\n78422 100000\n96070 100000\n1156 1719\n79721 100000\n84697 100000\n45713 68639\n8494 12657\n76222 100000\n3024 4500\n47189 70873\n31675 47503\n85946 100000\n26809 40145\n87496 100000\n60902 91408\n69591 100000\n63077 94632\n85722 100000\n64038 96070\n19251 28794\n24504 36671\n99511 100000\n15545 23219\n36203 54348\n75980 100000\n33876 50832\n2127 3169\n31130 46679\n30949 46415\n96638 100000\n23769 35572\n98735 100000\n42738 64189\n22219 33272\n70501 100000\n45555 68391\n59041 88635\n4304 6427\n23554 35250\n62525 93823\n12496 18672\n51493 77335\n33444 50183\n83898 100000\n7954 11855\n32721 49077\n95842 100000\n19761 29578\n1983 2943\n84108 100000\n75326 100000\n2501 3719\n59031 88620\n96619 100000\n25889 38749\n26012 38942\n17250 25774\n1703 2541\n6966 10375\n28601 42866\n10396 15492\n13994 20909\n27960 41890\n26154 39149\n53063 79642\n70713 100000\n62795 94227\n62972 94484\n62964 94470\n64753 97142\n30415 45606\n18904 28266\n9166 13666\n86116 100000\n68380 100000\n38556 57886\n29083 43590\n26451 39603\n69053 100000\n42718 64160\n86228 100000\n47037 70638\n28734 43058\n49644 74564\n10054 14993\n61612 92449\n94047 100000\n81008 100000\n13907 20779\n14742 22009\n80628 100000\n99700 100000\n69363 100000\n65278 97916\n83723 100000\n36643 54992\n65229 97844\n2303 3427\n43975 66049\n32127 48176\n20308 30414\n42035 63128\n33930 50908\n6461 9625\n94107 100000\n61448 92208\n82718 100000\n56297 84522\n23943 35829\n64367 96557\n15347 22915\n70821 100000\n77266 100000\n57879 86889\n50717 76176\n9203 13719\n40316 60530\n25483 38152\n23628 35359\n5758 8578\n439 640\n33711 50585\n68129 100000\n44915 67438\n14308 21376\n9965 14863\n14585 21777\n37959 56964\n56142 84286\n76873 100000\n16278 24314\n56742 85189\n11754 17549\n64735 97117\n53265 79950\n76255 100000\n46435 69725\n33701 50569\n79440 100000\n22390 33530\n59033 88623\n90178 100000\n54661 82048\n71018 100000\n9555 14234\n2470 3673\n17599 26303\n37477 56247\n41275 61992\n99841 100000\n14790 22079\n6393 9515\n12760 19085\n79429 100000\n16384 24475\n60403 90651\n46289 69507\n68912 100000\n3205 4767\n26551 39758\n74808 100000\n98866 100000\n27293 40880\n72513 100000\n26022 38954\n33672 50529\n4865 7266\n33090 49645\n63856 95797\n17773 26546\n16803 25104\n7705 11492\n13215 19753\n69311 100000\n46987 70559\n2712 4039\n20355 30487\n51147 76815\n72220 100000\n45260 67959\n41567 62435\n42779 64255\n2010 2984\n9607 14313\n96171 100000\n59995 90053\n24294 36359\n33211 49833\n52887 79387\n34189 51294\n47989 72086\n64614 96943\n98261 100000\n8946 13335\n83396 100000\n68358 100000\n83291 100000\n7285 10867\n79393 100000\n16052 23976\n70138 100000\n16134 24100\n76955 100000\n73862 100000\n63604 95412\n6527 9721\n5673 8457\n48057 72184\n7124 10617\n77538 100000\n70711 100000\n33086 49638\n23604 35320\n42880 64404\n79593 100000\n9068 13516\n2508 3732\n86356 100000\n17462 26103\n67921 100000\n33736 50620\n39125 58756\n29025 43500\n38533 57857\n13921 20799\n35679 53542\n70526 100000\n62333 93542\n14168 21172\n36320 54517\n36475 54743\n78768 100000\n62761 94179\n83558 100000\n54264 81451\n38652 58036\n42264 63482\n18711 27966\n55130 82745\n65395 98094\n62960 94465\n56569 84931\n9492 14148\n50177 75359\n60773 91210\n82099 100000\n90923 100000\n8166 12176\n65752 98619\n57400 86180\n20493 30684\n3114 4631\n90608 100000\n33151 49737\n51173 76855\n12432 18574\n39274 58977\n1716 2559\n25797 38616\n1411 2104\n92069 100000\n28480 42684\n32401 48594\n2556 3804\n90504 100000\n42273 63496\n4820 7196\n81708 100000\n30816 46214\n3328 4944\n79846 100000\n75586 100000\n7365 10990\n81404 100000\n62346 93561\n60410 90661\n60391 90633\n71164 100000\n38955 58500\n4905 7327\n63800 95714\n49067 73702\n77904 100000\n95037 100000\n62604 93944\n26142 39132\n24273 36323\n4965 7417\n4906 7328\n16456 24580\n23718 35497\n44573 66931\n75220 100000\n73656 100000\n59 85\n46776 70245\n55021 82584\n89238 100000\n84143 100000\n37147 55747\n78496 100000\n46880 70401\n74217 100000\n58747 88202\n20969 31402\n86611 100000\n12419 18553\n9872 14715\n7077 10544\n79318 100000\n11574 17281\n30755 46121\n49568 74449\n30627 45931\n62184 93315\n32708 49060\n90120 100000\n7200 10734\n83330 100000\n63142 94731\n48863 73390\n33789 50705\n15134 22595\n19057 28494\n10340 15416\n83924 100000\n41023 61610\n71454 100000\n65380 98073\n67538 100000\n89633 100000\n77069 100000\n58406 87684\n70442 100000\n4174 6233\n4873 7280\n75973 100000\n54986 82533\n75266 100000\n14410 21523\n88733 100000\n94684 100000\n29316 43937\n80074 100000\n22820 34151\n80009 100000\n24201 36219\n71319 100000\n79925 100000\n93402 100000\n73347 100000\n59827 89797\n19016 28433\n37455 56212\n79918 100000\n75858 100000\n86177 100000\n60731 91142\n43242 64965\n56450 84757\n17263 25793\n62192 93326\n12055 18008\n69473 100000\n89365 100000\n88670 100000\n82094 100000\n40683 61098\n41657 62569\n40284 60484\n73195 100000\n14142 21130\n11325 16903\n20199 30235\n68960 100000\n8991 13403\n55774 83743\n84081 100000\n97229 100000\n80128 100000\n20871 31258\n86781 100000\n18140 27115\n10121 15092\n81041 100000\n81194 100000\n85536 100000\n87252 100000\n16887 25228\n94548 100000\n82806 100000\n46087 69195\n3034 4513\n69457 100000\n1038 1535\n84801 100000\n25820 38651\n80070 100000\n3734 5571\n13872 20728\n27039 40497\n63449 95176\n5878 8756\n82191 100000\n54047 81124\n43531 65383\n71864 100000\n60601 90949\n92368 100000\n44786 67253\n20727 31039\n81950 100000\n14026 20956\n74406 100000\n25276 37840\n96678 100000\n82886 100000\n59495 89311\n51201 76896\n98251 100000\n8693 12960\n85593 100000\n11526 17210\n6443 9594\n54880 82372\n82228 100000\n57229 85925\n74312 100000\n25085 37554\n68545 100000\n38184 57310\n88118 100000\n58327 87563\n69416 100000\n56724 85165\n49178 73864\n71161 100000\n25860 38710\n70617 100000\n30037 45017\n48299 72546\n35198 52825\n15946 23821\n37795 56717\n78419 100000\n84729 100000\n84858 100000\n64191 96292\n9777 14579\n31742 47596\n62998 94521\n97335 100000\n8367 12469\n1078 1597\n4426 6608\n15533 23200\n11345 16935\n39822 59802\n83274 100000\n65947 98905\n4335 6473\n12234 18280\n38083 57154\n4669 6970\n20949 31375\n79585 100000\n52074 78187\n43519 65366\n84732 100000\n85223 100000\n28228 42294\n39508 59339\n55096 82695\n92230 100000\n33767 50672\n6919 10306\n90095 100000\n36157 54279\n40312 60525\n2562 3813\n38651 58035\n50215 75413\n63735 95612\n51469 77302\n41440 62240\n67274 100000\n55751 83708\n78119 100000\n68230 100000\n45815 68794\n57716 86641\n50079 75220\n45450 68240\n67834 100000\n44365 66626\n18835 28157\n2735 4074\n17564 26250\n95852 100000\n68874 100000\n58477 87784\n7587 11323\n18172 27163\n53164 79791\n74844 100000\n806 1190\n94782 100000\n71884 100000\n59579 89434\n21046 31512\n77360 100000\n14036 20970\n33541 50327\n57694 86613\n92596 100000\n69273 100000\n22064 33039\n42895 64429\n2047 3042\n87107 100000\n31517 47262\n68544 100000\n89751 100000\n41233 61931\n46836 70334\n90262 100000\n44501 66832\n56473 84788\n26635 39884\n89439 100000\n14386 21488\n43159 64837\n56983 85557\n26058 39004\n37221 55859\n79493 100000\n42415 63721\n71890 100000\n3690 5502\n91222 100000\n45242 67932\n82452 100000\n70593 100000\n25073 37538\n44749 67198\n34807 52237\n5282 7893\n61616 92455\n81609 100000\n64357 96540\n58532 87872\n29686 44493\n20476 30657\n66726 100000\n49160 73837\n59427 89206\n74141 100000\n54147 81284\n55417 83194\n29355 43992\n58420 87701\n93663 100000\n46553 69908\n41554 62418\n37600 56429\n14929 22282\n16853 25177\n53111 79709\n18179 27175\n82916 100000\n40643 61037\n46537 69884\n79474 100000\n5401 8063\n99941 100000\n44768 67224\n88554 100000\n93988 100000\n97683 100000\n8585 12792\n42549 63908\n68925 100000\n4074 6072\n30486 45717\n77117 100000\n89750 100000\n85934 100000\n96745 100000\n5078 7593\n16286 24325\n99372 100000\n58233 87419\n68714 100000\n72829 100000\n16196 24193\n75253 100000\n86032 100000\n29751 44588\n87253 100000\n13369 19983\n67795 100000\n27822 41681\n80519 100000\n58268 87476\n13132 19629\n31558 47329\n43226 64942\n88139 100000\n19422 29054\n80786 100000\n86391 100000\n59736 89663\n80474 100000\n40094 60198\n95443 100000\n15553 23231\n41192 61869\n54617 81979\n26962 40380\n77959 100000\n32094 48128\n91075 100000\n3946 5886\n29670 44470\n72999 100000\n20192 30226\n39840 59831\n36408 54646\n47205 70899\n43166 64848\n91586 100000\n36748 55150\n49774 74760\n96436 100000\n68596 100000\n35037 52577\n14059 21003\n51796 77785\n12956 19362\n73970 100000\n16206 24206\n31580 47363\n64648 96992\n44175 66341\n36335 54540\n64455 96689\n42807 64293\n12212 18247\n26103 39074\n50075 75214\n5418 8090\n3819 5702\n98354 100000\n2018 2995\n91881 100000\n12436 18581\n93344 100000\n47755 71743\n30826 46229\n119 162\n39402 59177\n56057 84166\n27756 41587\n64376 96571\n10088 15045\n9293 13863\n23170 34669\n66098 99129\n4639 6926\n11642 17377\n79226 100000\n52255 78454\n92665 100000\n71435 100000\n93683 100000\n6141 9138\n12546 18749\n37925 56913\n84387 100000\n67418 100000\n20617 30870\n6822 10155\n9145 13633\n91091 100000\n59606 89474\n64133 96210\n44056 66165\n24917 37302\n11944 17840\n51062 76684\n2115 3151\n72774 100000\n85482 100000\n5979 8906\n10167 15158\n56360 84621\n77044 100000\n26729 40023\n18349 27428\n95390 100000\n82137 100000\n82305 100000\n67460 100000\n60776 91214\n67924 100000\n98116 100000\n86661 100000\n68018 100000\n2350 3493\n89903 100000\n33221 49846\n86323 100000\n37095 55668\n66708 100000\n75127 100000\n66894 100000\n16767 25052\n80138 100000\n9086 13546\n17104 25550\n77891 100000\n7797 11625\n54560 81901\n4199 6270\n82380 100000\n49609 74513\n7816 11653\n9988 14893\n22377 33511\n53294 79991\n6471 9640\n17259 25786\n49037 73656\n11661 17404\n18182 27179\n85170 100000\n43979 66054\n49546 74415\n21643 32407\n86259 100000\n69675 100000\n59385 89146\n21562 32285\n13401 20034\n83279 100000\n33963 50955\n44838 67329\n23282 34838\n64265 96407\n59225 88908\n52715 79136\n28073 42057\n15522 23182\n37776 56686\n21679 32462\n43193 64890\n42291 63523\n78298 100000\n1134 1683\n64989 97496\n21238 31799\n31997 47980\n25055 37509\n24157 36149\n1194 1777\n26251 39301\n66864 100000\n77728 100000\n19044 28474\n77569 100000\n59431 89212\n44467 66780\n71291 100000\n62023 93069\n26215 39244\n82772 100000\n99420 100000\n77090 100000\n28778 43127\n57190 85870\n78811 100000\n50957 76528\n34031 51060\n62689 94075\n829 1223\n88730 100000\n40422 60692\n84874 100000\n74366 100000\n83018 100000\n83112 100000\n62780 94207\n82402 100000\n95462 100000\n893 1315\n80051 100000\n27631 41397\n4134 6169\n55542 83388\n64456 96691\n47485 71329\n86103 100000\n56765 85225\n267 387\n54193 81348\n32775 49160\n84983 100000\n90979 100000\n45420 68198\n12463 18624\n78468 100000\n17066 25493\n38577 57921\n34330 51499\n38969 58525\n80343 100000\n63282 94931\n74759 100000\n71575 100000\n3551 5287\n37186 55805\n82049 100000\n36708 55092\n54888 82385\n61707 92592\n71819 100000\n30925 46376\n30020 44992\n80874 100000\n54138 81271\n80692 100000\n62897 94377\n15216 22718\n8412 12536\n47891 71939\n61466 92238\n58769 88230\n14582 21772\n93061 100000\n85841 100000\n2371 3525\n18940 28319\n83986 100000\n78979 100000\n62244 93408\n91119 100000\n51182 76867\n72159 100000\n9030 13461\n39845 59836\n36291 54473\n10032 14962\n61989 93015\n22181 33216\n84057 100000\n11829 17671\n94541 100000\n49044 73667\n18006 26904\n27192 40724\n1271 1888\n80327 100000\n52649 79034\n76640 100000\n39633 59524\n85886 100000\n2490 3700\n72684 100000\n55697 83626\n87770 100000\n29609 44371\n89529 100000\n26024 38957\n13633 20375\n65405 98110\n67430 100000\n85526 100000\n28175 42210\n22147 33166\n55952 84009\n28558 42798\n43211 64919\n85906 100000\n71670 100000\n50980 76562\n35338 53034\n61580 92405\n42773 64246\n16127 24090\n6226 9264\n15857 23695\n1436 2138\n15439 23054\n71525 100000\n70778 100000\n21322 31919\n11535 17225\n91315 100000\n85408 100000\n26390 39511\n88223 100000\n4441 6631\n94156 100000\n83997 100000\n90770 100000\n41253 61961\n75687 100000\n2804 4178\n33716 50591\n46189 69350\n44989 67550\n42066 63172\n12215 18252\n22428 33589\n92109 100000\n48505 72847\n29202 43768\n52038 78134\n15885 23734\n83076 100000\n14321 21394\n32779 49166\n32364 48533\n57646 86540\n15708 23472\n59776 89722\n78642 100000\n58109 87235\n75992 100000\n97294 100000\n49975 75056\n4045 6030\n75029 100000\n65648 98458\n90532 100000\n32962 49452\n36259 54430\n20492 30683\n11403 17023\n36978 55494\n1311 1954\n64085 96138\n85360 100000\n30323 45469\n75487 100000\n60782 91224\n68880 100000\n7101 10583\n89610 100000\n47973 72062\n67607 100000\n61922 92920\n99887 100000\n91232 100000\n25935 38818\n36775 55195\n62610 93953\n56833 85334\n77540 100000\n24932 37324\n98678 100000\n3121 4642\n56523 84863\n34745 52146\n67957 100000\n44064 66178\n59779 89727\n45179 67838\n26497 39675\n2522 3754\n76061 100000\n55624 83516\n95891 100000\n94312 100000\n12835 19184\n72389 100000\n88815 100000\n64601 96922\n38212 57357\n49713 74672\n29855 44739\n14767 22046\n22957 34351\n92188 100000\n53329 80046\n16686 24924\n5216 7796\n34940 52428\n52274 78481\n43532 65384\n12593 18821\n31645 47461\n93958 100000\n10447 15565\n49058 73689\n19470 29131\n98005 100000\n92108 100000\n24037 35973\n53199 79844\n63333 95011\n28058 42030\n26535 39733\n9369 13974\n94807 100000\n70726 100000\n43438 65259\n21979 32909\n9087 13547\n11823 17663\n16845 25165\n54906 82413\n73463 100000\n68540 100000\n25246 37795\n35832 53784\n99894 100000\n27607 41361\n29867 44757\n46874 70392\n10582 15765\n24276 36329\n15721 23491\n54287 81486\n30174 45229\n96621 100000\n25220 37755\n25528 38216\n63055 94600\n39115 58739\n34717 52102\n47867 71905\n21664 32440\n97486 100000\n27496 41190\n61890 92870\n7726 11521\n66884 100000\n74885 100000\n49614 74521\n17233 25750\n36537 54835\n42527 63877\n71962 100000\n21274 31854\n96039 100000\n7280 10857\n8399 12518\n2589 3857\n15799 23609\n79361 100000\n26303 39380\n45577 68427\n57293 86021\n47750 71736\n2174 3239\n65161 97744\n67397 100000\n5303 7923\n89564 100000\n30328 45476\n46622 70012\n93471 100000\n66993 100000\n18942 28322\n10051 14988\n18458 27588\n78589 100000\n39063 58668\n72429 100000\n55444 83231\n10229 15249\n25056 37511\n98987 100000\n56662 85074\n58482 87791\n45630 68512\n70773 100000\n63182 94786\n14994 22376\n69327 100000\n62223 93375\n16590 24781\n75918 100000\n91387 100000\n7149 10656\n30771 46146\n30500 45738\n97085 100000\n52106 78232\n90838 100000\n4703 7023\n54459 81742\n8789 13094\n44086 66211\n52069 78180\n78239 100000\n68398 100000\n44967 67520\n51808 77802\n65697 98531\n2498 3714\n61153 91777\n78771 100000\n42250 63463\n34190 51296\n47172 70847\n99558 100000\n78198 100000\n83498 100000\n45616 68492\n73469 100000\n67194 100000\n21940 32851\n36283 54461\n24842 37187\n87450 100000\n72164 100000\n75268 100000\n12853 19210\n3002 4468\n52829 79302\n90263 100000\n57609 86486\n1747 2603\n25472 38137\n95565 100000\n69192 100000\n22567 33783\n7074 10538\n44898 67414\n73417 100000\n99647 100000\n7627 11380\n85996 100000\n44677 67087\n19815 29660\n76510 100000\n32461 48688\n49995 75090\n64001 96013\n37989 57008\n45351 68093\n77225 100000\n56609 84989\n1742 2595\n85163 100000\n16648 24868\n98603 100000\n46472 69782\n19178 28683\n57584 86452\n17922 26779\n88368 100000\n81795 100000\n86048 100000\n63938 95921\n2398 3565\n62373 93599\n8008 11939\n54713 82126\n93013 100000\n82689 100000\n37387 56107\n57588 86459\n17713 26467\n53860 80847\n34283 51430\n57896 86914\n61764 92677\n40516 60841\n17409 26017\n63002 94527\n36135 54247\n89672 100000\n8180 12197\n20052 30018\n54791 82240\n16429 24545\n83527 100000\n85910 100000\n17101 25546\n34599 51918\n22536 33739\n89805 100000\n30133 45166\n69532 100000\n41877 62895\n29979 44928\n54681 82079\n74797 100000\n96221 100000\n45010 67585\n51742 77698\n12352 18456\n53974 81019\n12373 18488\n57747 86686\n84713 100000\n70696 100000\n17569 26257\n75894 100000\n83602 100000\n61970 92987\n27770 41606\n57189 85868\n28452 42637\n95162 100000\n81890 100000\n82432 100000\n20877 31266\n4969 7424\n7681 11459\n19689 29469\n63871 95820\n98086 100000\n66279 99401\n17622 26339\n90897 100000\n16086 24029\n8197 12222\n98209 100000\n92087 100000\n91156 100000\n7690 11473\n47974 72063\n20040 30001\n25148 37648\n16014 23926\n21484 32170\n93645 100000\n75387 100000\n96494 100000\n34693 52062\n11644 17380\n86212 100000\n53359 80090\n25919 38794\n73724 100000\n6824 10157\n51570 77444\n22011 32958\n61631 92480\n89343 100000\n2960 4404\n58680 88103\n51187 76875\n5347 7986\n861 1266\n82592 100000\n9254 13802\n76617 100000\n23432 35074\n45099 67718\n38385 57631\n14771 22051\n74592 100000\n46207 69380\n21281 31864\n10091 15049\n47593 71495\n91928 100000\n19964 29880\n96116 100000\n93217 100000\n58912 88446\n49861 74894\n27666 41449\n6475 9647\n68712 100000\n74202 100000\n79598 100000\n62569 93889\n86211 100000\n50570 75962\n88061 100000\n42814 64305\n83146 100000\n96304 100000\n87874 100000\n18077 27014\n33825 50754\n16856 25181\n94957 100000\n96230 100000\n49310 74063\n88140 100000\n45080 67690\n766 1130\n32477 48714\n8090 12062\n85140 100000\n94984 100000\n30786 46170\n35143 52743\n28427 42597\n99610 100000\n40302 60511\n16627 24835\n53837 80811\n62408 93651\n53326 80041\n23999 35917\n32035 48038\n910 1342\n41328 62076\n91915 100000\n36273 54450\n72748 100000\n71128 100000\n59868 89858\n94328 100000\n19200 28714\n72110 100000\n27471 41151\n72217 100000\n20024 29975\n87473 100000\n96667 100000\n3660 5455\n64107 96172\n51966 78031\n87983 100000\n93447 100000\n68593 100000\n65614 98414\n16340 24408\n81860 100000\n26719 40007\n74910 100000\n34952 52448\n17002 25399\n9677 14416\n57308 86046\n20542 30757\n12671 18937\n28403 42556\n32832 49249\n98484 100000\n77359 100000\n85609 100000\n72012 100000\n42544 63900\n24948 37352\n28805 43169\n93908 100000\n66362 99523\n52627 79004\n72229 100000\n23369 34978\n4334 6472\n202 294\n25488 38157\n13724 20506\n74892 100000\n38762 58206\n79315 100000\n84625 100000\n26118 39096\n74194 100000\n55989 84061\n9271 13829\n65481 98222\n29858 44743\n76534 100000\n9614 14322\n19184 28693\n19249 28792\n16964 25339\n99730 100000\n49492 74336\n60393 90637\n4007 5975\n92792 100000\n71147 100000\n29646 44429\n29888 44791\n97762 100000\n91760 100000\n71206 100000\n94786 100000\n93055 100000\n29346 43980\n44278 66493\n20802 31156\n34951 52446\n41458 62264\n95392 100000\n11678 17431\n24154 36145\n69716 100000\n13699 20471\n8837 13168\n41892 62918\n31895 47822\n24603 36820\n18576 27763\n66808 100000\n4389 6554\n50872 76404\n92656 100000\n30215 45296\n63067 94618\n66037 99047\n13478 20144\n55746 83699\n99536 100000\n24192 36204\n35856 53819\n35012 52539\n1408 2099\n81488 100000\n58293 87512\n23041 34473\n11315 16888\n9024 13453\n88297 100000\n23675 35428\n74131 100000\n50099 75249\n40296 60502\n49505 74359\n23900 35766\n98348 100000\n66065 99086\n54068 81158\n17598 26302\n39398 59170\n17125 25584\n96096 100000\n9185 13693\n45679 68591\n84473 100000\n33004 49514\n21964 32887\n68075 100000\n15752 23536\n33081 49632\n60007 90070\n93306 100000\n75615 100000\n4967 7420\n40898 61419\n46404 69679\n90684 100000\n11166 16664\n13433 20077\n72462 100000\n50714 76171\n49555 74428\n14383 21484\n47851 71882\n17726 26484\n59855 89839\n14863 22184\n30040 45022\n90309 100000\n85511 100000\n31280 46906\n14182 21192\n12042 17988\n14139 21126\n40785 61249\n62640 94000\n67634 100000\n73933 100000\n68658 100000\n97666 100000\n42305 63548\n7508 11203\n92763 100000\n43723 65665\n85429 100000\n3333 4952\n22666 33930\n60178 90325\n17492 26148\n35815 53758\n28439 42617\n17180 25674\n905 1334\n80234 100000\n72767 100000\n46760 70218\n31478 47203\n99912 100000\n3765 5615\n38997 58568\n60606 90957\n1872 2784\n2036 3025\n2328 3463\n34526 51804\n449 655\n71879 100000\n23074 34520\n29941 44871\n42547 63905\n31045 46548\n90119 100000\n90853 100000\n17521 26189\n25122 37608\n59433 89216\n19127 28605\n4861 7260\n6430 9572\n50459 75786\n73589 100000\n49090 73736\n31111 46649\n11102 16571\n61140 91758\n81307 100000\n16674 24908\n8398 12517\n92233 100000\n49247 73968\n92258 100000\n66415 99597\n26162 39162\n48522 72871\n23657 35403\n69294 100000\n57798 86765\n87054 100000\n64982 97484\n29915 44829\n19787 29620\n70536 100000\n96111 100000\n58859 88367\n58667 88082\n51738 77692\n46336 69580\n71301 100000\n87662 100000\n51097 76738\n8431 12562\n8281 12341\n89186 100000\n15228 22738\n16756 25034\n32415 48615\n91549 100000\n29764 44609\n51334 77099\n91231 100000\n40184 60329\n29679 44484\n25416 38053\n321 468\n70192 100000\n63607 95417\n39954 59995\n96255 100000\n28860 43254\n87265 100000\n32696 49043\n71154 100000\n47946 72020\n36693 55071\n45881 68888\n81502 100000\n92885 100000\n13732 20520\n69522 100000\n51281 77016\n75077 100000\n22534 33737\n27862 41743\n14437 21561\n94909 100000\n22851 34193\n38468 57749\n83386 100000\n90745 100000\n81500 100000\n29779 44629\n8805 13120\n81463 100000\n22129 33138\n66184 99257\n93404 100000\n67225 100000\n81479 100000\n80189 100000\n38599 57956\n16528 24691\n71058 100000\n90738 100000\n43220 64933\n47073 70693\n7491 11177\n67153 100000\n98061 100000\n44425 66721\n82649 100000\n57088 85712\n73001 100000\n12012 17941\n17017 25421\n2790 4157\n73926 100000\n92333 100000\n21601 32346\n87027 100000\n55299 83008\n69461 100000\n58727 88174\n91857 100000\n50440 75757\n16268 24299\n70708 100000\n33687 50550\n99792 100000\n99159 100000\n92546 100000\n97912 100000\n83772 100000\n72353 100000\n10482 15617\n24724 37011\n15485 23123\n47774 71773\n83918 100000\n37553 56361\n24567 36766\n87851 100000\n26213 39241\n48850 73372\n99185 100000\n99865 100000\n5137 7682\n50697 76147\n2619 3904\n78611 100000\n51566 77438\n61291 91968\n91645 100000\n67696 100000\n67296 100000\n83690 100000\n24912 37295\n80424 100000\n66397 99570\n98041 100000\n66465 99675\n130 182\n64220 96337\n41224 61916\n38514 57824\n23323 34901\n75245 100000\n47584 71478\n53680 80568\n8376 12484\n65337 98009\n24133 36108\n6993 10417\n38151 57260\n52064 78171\n68188 100000\n76436 100000\n85551 100000\n1437 2140\n96688 100000\n90690 100000\n37286 55953\n20614 30864\n52379 78634\n6897 10271\n34991 52510\n87296 100000\n49383 74176\n31829 47721\n30226 45313\n22749 34053\n37025 55566\n91805 100000\n71083 100000\n91421 100000\n65402 98105\n35817 53760\n13108 19593\n90015 100000\n62781 94208\n48839 73353\n37285 55952\n99754 100000\n55821 83818\n4671 6973\n23607 35324\n29213 43785\n25368 37978\n38756 58194\n66613 99899\n44700 67123\n52653 79040\n74780 100000\n41374 62143\n76827 100000\n58631 88025\n69827 100000\n19566 29278\n21588 32325\n73038 100000\n45175 67834\n91987 100000\n14301 21364\n77783 100000\n24010 35931\n10338 15413\n15770 23565\n4440 6630\n68831 100000\n79314 100000\n85094 100000\n49009 73614\n33917 50889\n32052 48063\n26639 39890\n79111 100000\n17372 25958\n93615 100000\n22235 33296\n42396 63692\n27186 40716\n54827 82294\n13980 20888\n98834 100000\n45278 67985\n27748 41576\n88105 100000\n16264 24292\n64598 96917\n78774 100000\n46838 70338\n51703 77643\n49046 73669\n50528 75900\n54393 81644\n38188 57316\n95497 100000\n14809 22110\n41318 62062\n77913 100000\n98171 100000\n23075 34522\n74670 100000\n17114 25563\n29996 44955\n55691 83618\n20914 31320\n20995 31440\n8369 12473\n64639 96978\n58591 87963\n27673 41458\n51047 76660\n25793 38610\n90300 100000\n21796 32631\n35764 53678\n76964 100000\n51322 77080\n56175 84336\n51687 77618\n41370 62137\n43641 65547\n7885 11754\n96085 100000\n10939 16323\n91024 100000\n55976 84045\n97121 100000\n90576 100000\n55443 83230\n91927 100000\n66313 99451\n31531 47287\n93434 100000\n56906 85447\n52738 79170\n54210 81372\n38103 57183\n2134 3180\n98646 100000\n45046 67643\n1043 1544\n23068 34509\n38966 58520\n60297 90491\n80007 100000\n43544 65402\n76075 100000\n5074 7586\n52788 79239\n25407 38038\n78130 100000\n2168 3230\n57859 86859\n55201 82851\n39218 58893\n13140 19640\n92001 100000\n21108 31603\n30127 45155\n3711 5534\n97144 100000\n82696 100000\n76141 100000\n34104 51162\n93261 100000\n24077 36028\n4693 7005\n43297 65049\n95587 100000\n64781 97183\n81269 100000\n59523 89352\n66373 99540\n22579 33800\n87704 100000\n47173 70848\n86724 100000\n56612 84994\n66680 100000\n48606 72996\n13829 20664\n62445 93699\n36615 54947\n66141 99187\n15933 23801\n42529 63881\n53928 80948\n50285 75517\n39167 58821\n70264 100000\n49028 73643\n77618 100000\n44973 67529\n40242 60419\n77195 100000\n55292 82998\n64088 96143\n63737 95614\n88174 100000\n89871 100000\n46146 69285\n22872 34226\n58215 87391\n76620 100000\n40368 60609\n71034 100000\n50248 75458\n58148 87293\n1831 2724\n35234 52880\n887 1306\n32394 48586\n40334 60554\n35116 52702\n25922 38799\n63929 95910\n16128 24091\n75420 100000\n21130 31635\n90125 100000\n61717 92609\n51128 76785\n30611 45906\n96904 100000\n70102 100000\n68492 100000\n42141 63288\n82791 100000\n18086 27028\n82505 100000\n4998 7470\n67408 100000\n94941 100000\n3731 5566\n60053 90138\n47088 70716\n42395 63690\n69620 100000\n4093 6104\n12271 18330\n2090 3109\n71842 100000\n83842 100000\n37327 56010\n42594 63981\n14232 21263\n69608 100000\n86282 100000\n55559 83415\n11186 16694\n39649 59547\n5034 7523\n93619 100000\n88844 100000\n57671 86576\n19225 28754\n45187 67853\n43125 64782\n21136 31645\n24003 35923\n24824 37157\n32988 49488\n96466 100000\n34653 51998\n1776 2646\n39362 59114\n1135 1685\n62923 94415\n32032 48034\n72037 100000\n74427 100000\n9441 14078\n80077 100000\n33367 50071\n22797 34118\n71095 100000\n28128 42134\n40809 61282\n96055 100000\n39476 59293\n94260 100000\n80058 100000\n22884 34245\n61401 92133\n84180 100000\n92577 100000\n860 1265\n78174 100000\n16515 24672\n95150 100000\n85050 100000\n8900 13266\n46098 69213\n79256 100000\n9578 14267\n70154 100000\n27283 40862\n23866 35716\n86456 100000\n55741 83694\n18653 27879\n88745 100000\n8491 12652\n23960 35858\n20574 30806\n91656 100000\n8175 12190\n83618 100000\n60177 90323\n43070 64699\n95797 100000\n90949 100000\n90802 100000\n31004 46494\n4489 6701\n41071 61687\n61380 92101\n59380 89138\n58649 88055\n35482 53249\n39580 59443\n99063 100000\n91642 100000\n14376 21473\n14477 21619\n4402 6574\n90580 100000\n85284 100000\n94137 100000\n8573 12775\n37248 55902\n35233 52879\n23734 35521\n90096 100000\n81062 100000\n14563 21750\n51631 77538\n71948 100000\n82673 100000\n64727 97107\n10499 15641\n15222 22727\n1146 1702\n50698 76148\n78255 100000\n22547 33755\n64517 96789\n18072 27006\n34959 52460\n98872 100000\n78458 100000\n35225 52868\n19772 29598\n76645 100000\n26048 38988\n13517 20198\n50422 75729\n20485 30672\n85789 100000\n46444 69741\n28870 43268\n41418 62210\n67973 100000\n31082 46607\n87823 100000\n11985 17899\n72828 100000\n16459 24585\n49205 73904\n54279 81475\n66602 99882\n23192 34702\n99220 100000\n74332 100000\n326 477\n93488 100000\n64366 96555\n24416 36535\n17226 25739\n58458 87756\n158 222\n98054 100000\n31884 47803\n58038 87127\n67828 100000\n46693 70120\n15128 22587\n27000 40441\n32640 48954\n74988 100000\n876 1287\n1141 1694\n75243 100000\n45629 68510\n58267 87475\n27531 41247\n82770 100000\n48784 73269\n17469 26114\n20255 30322\n46474 69785\n60850 91325\n63456 95189\n20827 31189\n16455 24579\n8345 12434\n26144 39135\n49452 74280\n41108 61742\n97386 100000\n31462 47181\n3870 5775\n43573 65445\n12388 18513\n51683 77612\n86049 100000\n79897 100000\n97688 100000\n33912 50882\n27973 41912\n17302 25851\n50581 75977\n92418 100000\n1854 2759\n31684 47517\n99436 100000\n30530 45782\n42682 64107\n37079 55647\n63246 94879\n5814 8664\n55828 83829\n7677 11454\n64132 96209\n39770 59726\n34235 51361\n47155 70821\n54142 81277\n31196 46778\n23530 35215\n52663 79056\n66130 99171\n85221 100000\n63462 95199\n75155 100000\n26013 38943\n34998 52519\n41546 62408\n84618 100000\n54620 81983\n61167 91796\n41668 62583\n94954 100000\n25848 38694\n14431 21553\n61878 92853\n4576 6843\n39874 59877\n66579 99848\n21975 32902\n43964 66031\n31128 46675\n62684 94067\n24590 36801\n19921 29816\n28348 42473\n716 1057\n46595 69969\n5933 8836\n87156 100000\n44554 66905\n14534 21707\n69090 100000\n69778 100000\n90636 100000\n29428 44102\n46527 69867\n35621 53457\n34070 51114\n54183 81333\n17156 25634\n64659 97007\n63631 95453\n74230 100000\n117 160\n58839 88338\n17440 26067\n1783 2657\n70576 100000\n17523 26193\n7845 11693\n96578 100000\n862 1267\n98814 100000\n20941 31361\n12849 19203\n50723 76185\n33971 50966\n46924 70464\n34198 51309\n6512 9698\n78424 100000\n23578 35284\n45468 68264\n35210 52845\n19600 29331\n94947 100000\n380 556\n12892 19267\n11410 17034\n36054 54123\n7918 11800\n44574 66932\n97142 100000\n68609 100000\n71265 100000\n91926 100000\n94264 100000\n16829 25142\n32800 49199\n77547 100000\n15964 23849\n53444 80218\n29055 43549\n42783 64262\n72755 100000\n32722 49079\n14520 21682\n93186 100000\n10224 15241\n56583 84948\n23425 35064\n93241 100000\n6676 9934\n65742 98605\n43719 65660\n50604 76016\n79521 100000\n11022 16453\n33927 50903\n73643 100000\n95489 100000\n53747 80668\n40538 60875\n47978 72070\n25506 38184\n15301 22850\n54911 82419\n29677 44481\n588 859\n50546 75930\n58996 88570\n52944 79476\n97396 100000\n93969 100000\n23247 34790\n12171 18187\n26456 39610\n10973 16379\n41484 62302\n94617 100000\n67325 100000\n77637 100000\n78168 100000\n26929 40328\n89050 100000\n27968 41904\n32989 49490\n2535 3774\n19543 29246\n85051 100000\n16817 25124\n42345 63615\n8828 13155\n92708 100000\n80570 100000\n13882 20746\n17218 25729\n76562 100000\n55219 82880\n44843 67335\n69542 100000\n26565 39777\n28990 43451\n32124 48173\n29531 44250\n40692 61112\n79105 100000\n97083 100000\n91885 100000\n93517 100000\n87937 100000\n40853 61349\n13482 20150\n68626 100000\n54668 82058\n49423 74236\n78506 100000\n88987 100000\n74998 100000\n45951 68994\n69108 100000\n70181 100000\n20694 30988\n26414 39548\n56736 85181\n99742 100000\n24165 36159\n21368 31985\n23863 35712\n84304 100000\n31246 46852\n36648 55000\n46634 70028\n22092 33084\n62441 93693\n67005 100000\n50842 76361\n21790 32621\n51560 77431\n50056 75182\n40974 61531\n4121 6150\n51383 77174\n72324 100000\n92448 100000\n29061 43557\n56059 84169\n93516 100000\n44219 66406\n14538 21714\n5593 8333\n99340 100000\n64945 97427\n87214 100000\n87145 100000\n88182 100000\n42691 64119\n28862 43257\n36341 54549\n84163 100000\n32726 49084\n98039 100000\n46758 70216\n51537 77399\n2560 3809\n75389 100000\n71865 100000\n13569 20275\n15367 22946\n27263 40833\n73765 100000\n15894 23746\n30380 45551\n38162 57277\n479 707\n3150 4688\n1856 2762\n58593 87967\n5244 7832\n58815 88304\n28513 42734\n84212 100000\n8654 12896\n93705 100000\n85381 100000\n71857 100000\n80042 100000\n88238 100000\n8207 12238\n93727 100000\n11207 16721\n25131 37623\n12408 18538\n84673 100000\n38133 57235\n52082 78197\n21060 31533\n33256 49891\n56838 85342\n80632 100000\n85663 100000\n17003 25401\n46210 69384\n27871 41757\n47786 71790\n16371 24456\n97549 100000\n69697 100000\n16901 25246\n44543 66891\n3805 5682\n3234 4810\n88425 100000\n18991 28401\n34001 51012\n66353 99510\n38512 57821\n38353 57581\n64305 96463\n3067 4561\n51176 76860\n22389 33528\n45397 68161\n33032 49559\n26960 40377\n97996 100000\n54509 81819\n91056 100000\n160 225\n80459 100000\n46762 70222\n65438 98156\n68035 100000\n19546 29249\n3989 5949\n48011 72117\n31350 47011\n33297 49954\n65508 98263\n33222 49847\n28801 43162\n91146 100000\n92718 100000\n80225 100000\n94077 100000\n80575 100000\n79107 100000\n19334 28925\n15149 22618\n28603 42870\n28086 42074\n6878 10239\n92862 100000\n93694 100000\n77070 100000\n46367 69626\n80865 100000\n19435 29075\n14505 21657\n30191 45259\n74234 100000\n25625 38361\n48012 72118\n28744 43074\n71331 100000\n94012 100000\n84310 100000\n63552 95334\n21593 32334\n59036 88627\n42800 64283\n70362 100000\n65071 97617\n35894 53878\n74431 100000\n22799 34121\n90208 100000\n61387 92113\n94439 100000\n3509 5222\n4272 6376\n93771 100000\n44129 66272\n95774 100000\n22452 33624\n23528 35213\n2594 3866\n30154 45197\n90932 100000\n50659 76094\n35744 53649\n32167 48242\n86809 100000\n52062 78168\n48962 73540\n66473 99688\n47711 71676\n30000 44962\n85733 100000\n41199 61880\n80443 100000\n21563 32287\n93523 100000\n13852 20696\n21697 32489\n73241 100000\n64087 96141\n82251 100000\n74419 100000\n95279 100000\n95764 100000\n1827 2717\n49920 74976\n45551 68384\n817 1206\n99267 100000\n21801 32639\n68793 100000\n14200 21219\n13571 20279\n53749 80671\n71218 100000\n34092 51146\n31711 47553\n40350 60579\n96086 100000\n35770 53687\n99163 100000\n6600 9825\n88186 100000\n10506 15653\n70557 100000\n48050 72173\n89822 100000\n44637 67029\n76578 100000\n8118 12103\n73275 100000\n94190 100000\n19579 29297\n32907 49371\n66590 99865\n56872 85394\n44902 67419\n22044 33006\n47344 71111\n40529 60863\n60579 90917\n24043 35982\n74205 100000\n79973 100000\n44996 67562\n40762 61211\n58911 88444\n71810 100000\n66886 100000\n51637 77547\n6450 9606\n51933 77980\n61375 92093\n59756 89692\n33512 50282\n98162 100000\n36924 55414\n99602 100000\n53368 80105\n29761 44604\n77075 100000\n47149 70812\n33779 50689\n67343 100000\n79684 100000\n13179 19700\n5572 8304\n91809 100000\n11612 17336\n23419 35053\n24303 36373\n76907 100000\n59913 89928\n64832 97260\n97183 100000\n26923 40320\n20345 30472\n86518 100000\n77947 100000\n38761 58204\n30137 45171\n55544 83390\n5409 8076\n33980 50979\n91506 100000\n34148 51231\n30679 46013\n40341 60564\n86992 100000\n37055 55611\n84810 100000\n26361 39468\n47356 71131\n66032 99038\n83871 100000\n51300 77046\n70986 100000\n57253 85962\n92852 100000\n39325 59055\n53913 80925\n30473 45695\n91405 100000\n32393 48584\n76726 100000\n51353 77126\n94522 100000\n41276 61994\n34310 51470\n40237 60411\n23266 34818\n26994 40430\n75855 100000\n9687 14432\n16396 24494\n21789 32619\n37145 55745\n21280 31863\n78593 100000\n57076 85693\n47235 70945\n43032 64641\n68294 100000\n85473 100000\n56649 85054\n29210 43781\n12365 18474\n86970 100000\n80652 100000\n40631 61021\n53299 80000\n20406 30565\n27312 40908\n59576 89430\n69965 100000\n44654 67053\n16032 23949\n41383 62156\n88739 100000\n98129 100000\n24896 37270\n44140 66289\n87654 100000\n32083 48110\n92756 100000\n55900 83933\n32460 48686\n8897 13260\n52188 78358\n24357 36452\n1354 2018\n91894 100000\n22209 33259\n4686 6997\n43710 65648\n79836 100000\n58873 88386\n71697 100000\n59048 88645\n91060 100000\n82206 100000\n23540 35230\n20725 31036\n73033 100000\n65626 98429\n57385 86158\n43598 65482\n46076 69178\n58370 87624\n62098 93182\n89740 100000\n74082 100000\n16044 23966\n60599 90945\n97097 100000\n10110 15078\n32015 48007\n12773 19103\n2043 3037\n91952 100000\n36743 55143\n59109 88732\n16699 24946\n10000 14910\n62819 94264\n32154 48219\n6270 9332\n11366 16967\n30091 45097\n98365 100000\n44533 66877\n14074 21027\n72190 100000\n32772 49156\n38917 58445\n34063 51105\n96366 100000\n42034 63127\n62182 93313\n24320 36397\n8663 12911\n20756 31083\n68934 100000\n66525 99765\n96490 100000\n64147 96228\n69428 100000\n69007 100000\n53104 79698\n39453 59256\n17128 25588\n37823 56759\n84832 100000\n63060 94607\n10512 15660\n41048 61650\n17197 25698\n81180 100000\n49261 73988\n66174 99242\n79692 100000\n61494 92280\n34578 51885\n14487 21634\n12445 18595\n28024 41982\n21585 32319\n83743 100000\n58876 88389\n7234 10785\n64860 97300\n66829 100000\n51054 76671\n96533 100000\n46427 69714\n87334 100000\n58460 87759\n5382 8036\n68081 100000\n64240 96370\n17575 26266\n12016 17947\n60243 90417\n87429 100000\n37536 56335\n70827 100000\n47646 71577\n70759 100000\n86480 100000\n20628 30889\n21273 31853\n14078 21032\n31168 46734\n1733 2583\n87039 100000\n49697 74650\n39135 58773\n38766 58211\n98025 100000\n44440 66745\n86445 100000\n54231 81401\n27318 40917\n87012 100000\n10144 15122\n7181 10703\n96461 100000\n93955 100000\n815 1203\n26803 40135\n5583 8321\n67254 100000\n38298 57495\n40497 60812\n58026 87110\n6205 9233\n80317 100000\n47948 72023\n64153 96239\n85045 100000\n31930 47876\n53130 79739\n92874 100000\n94964 100000\n17908 26756\n31178 46750\n89042 100000\n49694 74646\n48532 72885\n91954 100000\n42118 63252\n85799 100000\n44071 66189\n73632 100000\n17178 25671\n18076 27012\n84330 100000\n70415 100000\n58046 87141\n89517 100000\n13902 20773\n80944 100000\n21101 31592\n81255 100000\n79605 100000\n73073 100000\n21786 32616\n33533 50315\n91747 100000\n21126 31630\n88821 100000\n70495 100000\n60291 90483\n99538 100000\n15560 23243\n31338 46993\n66527 99768\n22612 33850\n15675 23422\n58065 87171\n8971 13374\n8730 13013\n15905 23763\n99825 100000\n61303 91990\n47540 71413\n24610 36830\n22526 33726\n66214 99300\n32519 48774\n4000 5968\n13334 19932\n1175 1747\n37467 56230\n54201 81360\n58208 87381\n5643 8410\n9464 14108\n74761 100000\n59169 88821\n88697 100000\n57957 87004\n50678 76119\n56755 85211\n17706 26455\n50377 75656\n89776 100000\n43172 64859\n48663 73087\n55495 83310\n87446 100000\n18509 27666\n22651 33906\n15049 22465\n46755 70211\n41863 62875\n74213 100000\n86701 100000\n89385 100000\n94222 100000\n50223 75423\n99368 100000\n52623 78998\n16191 24187\n54692 82094\n15464 23091\n2716 4044\n51198 76892\n54802 82259\n68938 100000\n78288 100000\n77838 100000\n18668 27900\n62958 94462\n63196 94806\n18988 28397\n88418 100000\n41551 62414\n68952 100000\n85432 100000\n34154 51242\n2227 3315\n79738 100000\n86429 100000\n64138 96215\n14313 21383\n25808 38634\n62719 94118\n44800 67275\n66853 100000\n51496 77338\n38210 57353\n2290 3409\n62461 93724\n7972 11883\n34329 51498\n13127 19622\n21354 31962\n10497 15639\n1722 2567\n91783 100000\n41682 62603\n44496 66824\n85783 100000\n90966 100000\n12448 18600\n29815 44683\n56516 84850\n2433 3619\n81985 100000\n87295 100000\n87331 100000\n1745 2599\n90067 100000\n1120 1660\n87556 100000\n86549 100000\n86460 100000\n16213 24215\n57983 87046\n48091 72238\n25225 37762\n28018 41975\n18573 27757\n67376 100000\n24531 36711\n14724 21982\n31966 47931\n45789 68753\n82400 100000\n51268 76997\n76631 100000\n61013 91564\n84789 100000\n79626 100000\n44874 67380\n51039 76647\n95225 100000\n43689 65617\n33612 50437\n28903 43317\n42287 63518\n15495 23135\n14833 22140\n88489 100000\n38449 57723\n25108 37589\n17056 25477\n6739 10029\n8363 12462\n80813 100000\n43473 65305\n46287 69504\n88195 100000\n19785 29618\n497 736\n22256 33330\n50083 75225\n94971 100000\n6408 9538\n84441 100000\n16621 24826\n34052 51093\n71091 100000\n19485 29153\n55440 83227\n96033 100000\n76365 100000\n62774 94196\n89587 100000\n82359 100000\n30462 45679\n10849 16187\n66672 99990\n21189 31724\n26613 39849\n56978 85549\n2548 3792\n68774 100000\n84193 100000\n24148 36133\n82106 100000\n92040 100000\n8423 12551\n92056 100000\n60049 90134\n54107 81225\n52131 78271\n71711 100000\n85314 100000\n58600 87976\n17298 25845\n84969 100000\n36553 54855\n19817 29664\n64622 96954\n23428 35069\n7512 11208\n73411 100000\n62097 93180\n4374 6530\n39485 59309\n26614 39850\n49138 73805\n74385 100000\n18481 27623\n76730 100000\n25024 37467\n7173 10692\n46243 69435\n24757 37057\n10462 15588\n16833 25147\n1195 1779\n81208 100000\n92421 100000\n79948 100000\n38839 58327\n31381 47061\n1363 2032\n71209 100000\n54090 81196\n39885 59892\n80724 100000\n3251 4836\n18443 27567\n44503 66834\n22213 33264\n61946 92952\n97933 100000\n51093 76733\n85293 100000\n21282 31866\n67954 100000\n73330 100000\n79415 100000\n52700 79114\n23537 35225\n71994 100000\n81123 100000\n20070 30045\n61055 91630\n14632 21852\n90282 100000\n84009 100000\n80975 100000\n39943 59979\n35759 53670\n78060 100000\n4813 7185\n58778 88241\n29436 44112\n94737 100000\n82231 100000\n8102 12079\n7590 11326\n67065 100000\n98019 100000\n78165 100000\n19613 29351\n62711 94103\n72819 100000\n89225 100000\n51920 77962\n57649 86545\n86322 100000\n53333 80051\n15701 23462\n41022 61609\n74678 100000\n67658 100000\n43674 65598\n75369 100000\n73438 100000\n13950 20839\n22629 33874\n15105 22550\n95374 100000\n37921 56905\n56042 84144\n25105 37585\n55515 83339\n79214 100000\n70816 100000\n24582 36789\n74977 100000\n88588 100000\n56245 84439\n45527 68343\n34126 51200\n61788 92716\n60736 91149\n88250 100000\n48488 72820\n89138 100000\n58627 88017\n90512 100000\n7810 11644\n69753 100000\n43328 65095\n18639 27855\n26852 40210\n8171 12184\n79676 100000\n12575 18792\n23584 35292\n28532 42760\n1239 1846\n46432 69721\n25006 37443\n54960 82492\n21254 31822\n50291 75525\n98194 100000\n19086 28538\n52928 79452\n91949 100000\n40911 61435\n92092 100000\n20436 30605\n92395 100000\n26883 40257\n41715 62653\n7274 10848\n83684 100000\n35940 53946\n53844 80823\n43642 65548\n95903 100000\n93409 100000\n57783 86738\n4601 6874\n57435 86227\n10551 15719\n2420 3599\n48329 72587\n5240 7828\n59972 90020\n90879 100000\n79694 100000\n51643 77555\n97146 100000\n86691 100000\n91715 100000\n92518 100000\n29811 44677\n94567 100000\n77207 100000\n68690 100000\n54108 81227\n1181 1757\n60325 90533\n61849 92804\n91130 100000\n73240 100000\n62091 93170\n75666 100000\n32306 48446\n19296 28866\n76114 100000\n93765 100000\n61070 91655\n83795 100000\n99821 100000\n78502 100000\n68916 100000\n44309 66540\n432 630\n20647 30918\n56196 84364\n81935 100000\n34624 51955\n43688 65616\n70814 100000\n63690 95544\n34761 52170\n48682 73116\n60958 91485\n31992 47972\n23634 35368\n27315 40912\n65865 98786\n59497 89313\n51416 77222\n95419 100000\n48657 73078\n56114 84248\n65758 98627\n97806 100000\n27492 41183\n72038 100000\n66980 100000\n55869 83889\n48028 72143\n23452 35106\n50745 76217\n59367 89117\n73641 100000\n94877 100000\n68144 100000\n85477 100000\n63100 94661\n61310 92001\n34524 51801\n27277 40854\n67251 100000\n99369 100000\n69537 100000\n47623 71542\n45946 68985\n69987 100000\n36526 54818\n60793 91240\n87702 100000\n37043 55593\n88264 100000\n87386 100000\n73755 100000\n55064 82648\n56430 84725\n38336 57554\n13427 20069\n54847 82324\n98369 100000\n25237 37781\n61113 91715\n52811 79273\n57635 86524\n42921 64470\n9448 14087\n23092 34549\n12254 18307\n80972 100000\n49013 73620\n3152 4691\n98550 100000\n46017 69091\n42688 64114\n90041 100000\n47394 71187\n12411 18544\n91375 100000\n13245 19798\n22277 33362\n96672 100000\n46961 70521\n82795 100000\n56116 84250\n95287 100000\n49206 73906\n3593 5350\n16920 25274\n25850 38696\n91479 100000\n82183 100000\n4758 7104\n78602 100000\n6140 9137\n41648 62553\n98178 100000\n54036 81108\n83113 100000\n82721 100000\n31368 47040\n49583 74473\n42274 63498\n62148 93259\n43993 66076\n54123 81250\n37182 55798\n30916 46361\n86380 100000\n75307 100000\n85167 100000\n65151 97731\n24953 37359\n40005 60070\n20328 30446\n73679 100000\n39671 59578\n2881 4294\n85812 100000\n81908 100000\n72176 100000\n96511 100000\n44999 67565\n64609 96935\n99517 100000\n60317 90522\n48889 73430\n54969 82506\n32876 49325\n7673 11448\n23122 34598\n68594 100000\n13965 20864\n35907 53897\n76743 100000\n64730 97111\n50758 76241\n60034 90110\n92213 100000\n78813 100000\n23592 35304\n75423 100000\n41274 61991\n9178 13684\n88549 100000\n33452 50194\n37920 56904\n75803 100000\n92494 100000\n8357 12452\n32544 48810\n87902 100000\n10406 15505\n73637 100000\n1524 2277\n44523 66863\n94232 100000\n30444 45650\n84114 100000\n38777 58226\n82411 100000\n19607 29342\n74353 100000\n14459 21594\n2087 3103\n10278 15320\n98500 100000\n34509 51778\n71772 100000\n97862 100000\n76962 100000\n47287 71025\n95675 100000\n40743 61186\n75821 100000\n64935 97408\n20997 31443\n80172 100000\n87455 100000\n3928 5857\n28963 43409\n24310 36383\n20557 30781\n99524 100000\n2917 4347\n3337 4958\n27023 40475\n32323 48472\n98343 100000\n31468 47189\n34197 51308\n50119 75276\n47694 71650\n61311 92002\n86895 100000\n97769 100000\n17619 26335\n61477 92254\n72116 100000\n24330 36410\n38686 58089\n54908 82415\n301 438\n77930 100000\n8831 13160\n62156 93272\n94360 100000\n10195 15197\n70316 100000\n4677 6982\n38858 58359\n56279 84493\n46575 69942\n99485 100000\n44518 66855\n95010 100000\n1694 2527\n2658 3960\n23622 35348\n27235 40790\n55295 83002\n3896 5811\n72311 100000\n25264 37822\n82823 100000\n55318 83039\n36235 54395\n45511 68320\n94435 100000\n42936 64493\n63853 95793\n35420 53153\n64841 97273\n16966 25342\n37212 55844\n73982 100000\n89920 100000\n22288 33378\n63771 95665\n87222 100000\n16232 24245\n62004 93039\n21586 32321\n99261 100000\n82681 100000\n25712 38496\n43249 64977\n69026 100000\n86224 100000\n95121 100000\n91815 100000\n21680 32463\n74144 100000\n50952 76519\n35103 52681\n85872 100000\n96878 100000\n78258 100000\n48668 73095\n780 1153\n6508 9692\n32724 49082\n2753 4097\n84881 100000\n3213 4779\n17666 26399\n99467 100000\n57368 86132\n14955 22320\n47421 71224\n84586 100000\n91802 100000\n76006 100000\n56657 85067\n7718 11510\n44527 66869\n30767 46139\n4910 7332\n25965 38861\n19672 29443\n10373 15459\n46840 70341\n66588 99862\n89046 100000\n80726 100000\n44014 66105\n66448 99648\n11994 17914\n39241 58925\n82060 100000\n8263 12314\n95616 100000\n12421 18557\n86916 100000\n77058 100000\n95464 100000\n22723 34014\n18323 27389\n52411 78678\n33954 50943\n42346 63616\n13780 20587\n32978 49472\n65719 98567\n46592 69965\n70444 100000\n13953 20844\n31642 47457\n53237 79908\n19297 28868\n91302 100000\n25823 38655\n31265 46881\n518 766\n97970 100000\n17746 26511\n55514 83338\n29395 44052\n75996 100000\n61193 91830\n50204 75397\n35734 53633\n44379 66648\n4469 6671\n4617 6897\n47656 71592\n71445 100000\n47158 70825\n52299 78517\n13467 20128\n25142 37637\n3518 5236\n20500 30695\n49932 74994\n19161 28659\n42926 64478\n41277 61995\n48288 72531\n75199 100000\n83122 100000\n83740 100000\n66392 99564\n41608 62496\n73827 100000\n55304 83018\n68210 100000\n45843 68833\n13592 20309\n61108 91708\n44195 66373\n86872 100000\n72597 100000\n67134 100000\n8584 12790\n14245 21285\n69535 100000\n16626 24834\n55849 83860\n22449 33619\n40634 61025\n77757 100000\n79572 100000\n85865 100000\n61502 92293\n32673 49007\n40863 61365\n3077 4577\n71547 100000\n56826 85322\n93818 100000\n55903 83938\n48436 72742\n88354 100000\n24877 37241\n64821 97243\n50340 75603\n49737 74711\n54070 81162\n40153 60282\n92436 100000\n47435 71245\n42794 64275\n51770 77742\n85030 100000\n83497 100000\n41777 62746\n8862 13207\n89979 100000\n43918 65959\n32056 48069\n17396 25994\n16972 25350\n34618 51945\n74867 100000\n92921 100000\n37721 56608\n17823 26625\n49741 74716\n60087 90187\n85022 100000\n13931 20811\n44417 66708\n96731 100000\n16580 24768\n29525 44240\n25885 38743\n75483 100000\n24299 36367\n28401 42553\n71397 100000\n94752 100000\n23396 35020\n6415 9548\n57822 86803\n11744 17535\n52884 79383\n2827 4215\n30387 45562\n75711 100000\n5628 8388\n92930 100000\n16020 23934\n38482 57773\n75903 100000\n56246 84440\n15718 23486\n36473 54740\n38425 57689\n78370 100000\n93178 100000\n93604 100000\n94454 100000\n9832 14655\n24594 36808\n2989 4449\n74022 100000\n31832 47724\n72626 100000\n18807 28119\n26677 39946\n64625 96959\n35682 53548\n55490 83302\n52416 78685\n83750 100000\n29859 44745\n50330 75588\n30922 46371\n85586 100000\n46440 69733\n13635 20377\n62221 93372\n13684 20447\n36173 54304\n86168 100000\n16405 24510\n26627 39870\n45442 68230\n43766 65728\n75848 100000\n76519 100000\n74114 100000\n70011 100000\n16365 24445\n31144 46696\n41210 61895\n22107 33106\n27969 41905\n47351 71124\n44751 67202\n86976 100000\n58345 87586\n88597 100000\n8196 12221\n85244 100000\n26114 39091\n44936 67470\n5867 8739\n75506 100000\n98239 100000\n25337 37930\n17880 26710\n10084 15039\n98833 100000\n32828 49243\n99641 100000\n61147 91768\n74717 100000\n37742 56639\n51387 77180\n3401 5054\n20367 30501\n49308 74060\n37566 56380\n9199 13714\n5630 8391\n52201 78377\n24362 36459\n73301 100000\n23881 35738\n61983 93006\n93696 100000\n40323 60539\n67534 100000\n81932 100000\n89716 100000\n38749 58184\n36565 54871\n32005 47994\n44691 67110\n32633 48945\n1170 1738\n96159 100000\n99535 100000\n50519 75885\n29115 43635\n50147 75317\n43287 65034\n85225 100000\n64346 96524\n50096 75245\n75131 100000\n81221 100000\n69003 100000\n18915 28282\n42702 64136\n95599 100000\n58589 87960\n6369 9479\n64750 97139\n11035 16470\n14660 21893\n28106 42103\n56123 84261\n85129 100000\n24995 37426\n9679 14419\n52948 79482\n2393 3555\n55960 84023\n88396 100000\n68581 100000\n79610 100000\n53397 80146\n54502 81809\n54815 82279\n40063 60154\n57610 86488\n91329 100000\n92140 100000\n99603 100000\n77193 100000\n97429 100000\n20048 30013\n69724 100000\n52344 78585\n30038 45019\n65709 98551\n48030 72147\n57195 85877\n14276 21328\n44544 66893\n69929 100000\n58611 87993\n1861 2770\n65294 97944\n79118 100000\n23145 34632\n36014 54058\n37765 56671\n63667 95508\n33721 50598\n83360 100000\n22525 33724\n30958 46426\n19655 29418\n76676 100000\n23630 35362\n28321 42432\n17942 26809\n33623 50455\n21543 32256\n33504 50270\n1449 2159\n27762 41596\n69545 100000\n10474 15606\n81823 100000\n4907 7329\n68956 100000\n59793 89746\n60532 90843\n21307 31899\n38292 57484\n30605 45898\n92259 100000\n64655 97002\n90213 100000\n64775 97173\n87822 100000\n1497 2237\n60714 91118\n38279 57464\n4529 6770\n91531 100000\n44950 67493\n91708 100000\n38728 58152\n13189 19714\n65774 98649\n31963 47926\n36812 55253\n73976 100000\n62231 93388\n8053 12007\n82176 100000\n83353 100000\n96285 100000\n7879 11745\n71377 100000\n93650 100000\n56365 84629\n67684 100000\n89353 100000\n43085 64717\n69992 100000\n78329 100000\n83877 100000\n76766 100000\n10097 15058\n71801 100000\n77100 100000\n31139 46690\n88062 100000\n24361 36458\n97048 100000\n31678 47508\n75766 100000\n22501 33690\n62362 93583\n37 53\n49065 73698\n55183 82823\n94229 100000\n75881 100000\n48998 73597\n65239 97858\n61591 92421\n65476 98213\n82928 100000\n26985 40415\n21715 32515\n81279 100000\n41405 62190\n71777 100000\n28365 42497\n39727 59661\n15020 22417\n33575 50379\n83532 100000\n976 1444\n10993 16407\n13301 19885\n34835 52279\n12772 19101\n27793 41642\n94290 100000\n97450 100000\n47539 71411\n32778 49164\n12763 19088\n91623 100000\n75598 100000\n44578 66937\n11283 16842\n4527 6766\n56215 84392\n82819 100000\n69491 100000\n65995 98977\n68520 100000\n56875 85399\n56429 84723\n56585 84951\n64973 97470\n78065 100000\n61457 92224\n95601 100000\n69880 100000\n18589 27784\n51126 76782\n50775 76264\n85576 100000\n78275 100000\n86897 100000\n77237 100000\n116 159\n25582 38301\n16608 24809\n20300 30400\n66105 99140\n91023 100000\n43435 65253\n28061 42036\n31066 46581\n71577 100000\n92296 100000\n75922 100000\n23378 34991\n3707 5527\n38195 57328\n57723 86651\n93185 100000\n89054 100000\n68268 100000\n58294 87513\n24411 36527\n22529 33730\n98654 100000\n58070 87180\n70210 100000\n31516 47260\n78763 100000\n62823 94270\n61504 92296\n28879 43282\n24243 36278\n92039 100000\n19318 28901\n48851 73373\n110 150\n55399 83166\n81259 100000\n27225 40773\n23466 35127\n34918 52394\n95289 100000\n51934 77982\n7919 11802\n3123 4645\n97081 100000\n32773 49158\n11460 17111\n35952 53963\n93946 100000\n15984 23878\n91045 100000\n20922 31332\n63825 95755\n42371 63651\n40059 60147\n72503 100000\n85516 100000\n29426 44099\n80215 100000\n63686 95538\n95048 100000\n1675 2497\n82224 100000\n48262 72497\n24302 36371\n64818 97238\n95159 100000\n55985 84056\n34024 51048\n37303 55974\n36825 55272\n85681 100000\n27446 41112\n9044 13482\n65964 98928\n46899 70427\n96870 100000\n62990 94509\n78628 100000\n89617 100000\n9453 14094\n20631 30894\n19754 29569\n84599 100000\n82093 100000\n73487 100000\n79633 100000\n49910 74962\n19638 29392\n90528 100000\n97553 100000\n83932 100000\n62737 94145\n49323 74084\n94521 100000\n61395 92124\n26891 40269\n79823 100000\n83232 100000\n50763 76249\n24662 36913\n26315 39400\n8647 12885\n86824 100000\n36851 55310\n36552 54854\n61783 92707\n17421 26037\n49726 74693\n59790 89742\n6282 9348\n43620 65514\n82069 100000\n73539 100000\n7229 10777\n54485 81782\n8234 12276\n91192 100000\n63933 95914\n75636 100000\n28089 42078\n71669 100000\n47536 71406\n20015 29962\n22969 34367\n80267 100000\n66538 99782\n5231 7816\n8012 11944\n49959 75031\n11127 16607\n33396 50111\n39270 58969\n69231 100000\n6482 9658\n98357 100000\n60569 90901\n8678 12936\n83590 100000\n85943 100000\n2012 2988\n94775 100000\n11351 16946\n94386 100000\n50861 76390\n30466 45684\n62940 94438\n59319 89044\n80516 100000\n83259 100000\n24739 37031\n63677 95524\n62423 93671\n63799 95713\n76678 100000\n77050 100000\n65958 98920\n27356 40974\n93905 100000\n88785 100000\n88307 100000\n13982 20891\n45770 68724\n81199 100000\n95627 100000\n31961 47922\n86304 100000\n19528 29221\n60349 90569\n3828 5715\n25816 38645\n61859 92823\n99990 100000\n5326 7957\n3721 5551\n65520 98280\n61391 92118\n56623 85012\n63593 95396\n51908 77944\n14612 21818\n79355 100000\n84539 100000\n51500 77345\n30005 44969\n59001 88577\n20138 30149\n45052 67652\n53952 80984\n91719 100000\n27494 41186\n46594 69968\n45800 68770\n15682 23433\n44609 66982\n74117 100000\n29704 44518\n75447 100000\n85698 100000\n36522 54811\n41527 62374\n86474 100000\n46682 70103\n10754 16042\n39967 60014\n97003 100000\n99307 100000\n32099 48134\n10605 15803\n59445 89234\n78351 100000\n27778 41619\n77562 100000\n19797 29634\n38892 58413\n53287 79980\n58072 87183\n32324 48473\n84938 100000\n34520 51794\n96687 100000\n14128 21110\n26517 39701\n77242 100000\n84612 100000\n37063 55621\n28418 42581\n94901 100000\n39923 59949\n96140 100000\n60619 90978\n91508 100000\n57132 85779\n12801 19137\n68602 100000\n10960 16358\n58499 87822\n1399 2084\n70377 100000\n56845 85352\n43536 65391\n9262 13814\n75492 100000\n18791 28092\n84973 100000\n14280 21334\n99879 100000\n89825 100000\n52346 78587\n51390 77186\n70839 100000\n48910 73462\n66423 99610\n28268 42351\n1852 2756\n91052 100000\n51613 77513\n38021 57060\n68370 100000\n87081 100000\n2747 4090\n27766 41601\n74017 100000\n4085 6091\n53334 80053\n94881 100000\n68625 100000\n7788 11611\n16221 24226\n28099 42093\n9663 14394\n20188 30219\n78571 100000\n16435 24554\n19186 28695\n13669 20427\n88417 100000\n99127 100000\n46465 69772\n85600 100000\n65978 98948\n58528 87866\n3621 5397\n9772 14571\n8723 13004\n76570 100000\n5887 8769\n78750 100000\n53669 80550\n55344 83081\n88536 100000\n10225 15242\n18921 28290\n22546 33753\n60230 90399\n55057 82637\n80587 100000\n66874 100000\n90053 100000\n98732 100000\n30676 46009\n15218 22722\n79086 100000\n85285 100000\n34051 51092\n34548 51836\n45245 67937\n19444 29088\n69250 100000\n49117 73774\n54016 81078\n18165 27153\n12292 18363\n26045 38983\n37463 56225\n16164 24145\n70219 100000\n19948 29855\n98092 100000\n99948 100000\n71339 100000\n23834 35673\n4010 5981\n87869 100000\n16724 24985\n40351 60580\n61998 93030\n45005 67575\n40127 60243\n32526 48783\n25008 37446\n34696 52067\n895 1317\n25099 37574\n49723 74689\n6899 10274\n21695 32486\n61506 92298\n61159 91784\n14869 22193\n88990 100000\n1587 2376\n33821 50749\n71798 100000\n71735 100000\n58973 88534\n32844 49269\n95089 100000\n46315 69549\n1102 1631\n96020 100000\n70159 100000\n73041 100000\n59923 89943\n92906 100000\n67265 100000\n36611 54941\n87463 100000\n90573 100000\n72374 100000\n36265 54439\n41404 62188\n96668 100000\n50361 75634\n75398 100000\n31890 47814\n91688 100000\n49319 74078\n75214 100000\n99780 100000\n46816 70306\n69409 100000\n42105 63233\n92591 100000\n64581 96890\n50271 75492\n38155 57266\n91257 100000\n89242 100000\n42020 63105\n1046 1549\n82962 100000\n4534 6778\n18920 28289\n29664 44460\n19337 28930\n26383 39501\n61700 92582\n78739 100000\n14553 21735\n38884 58400\n76044 100000\n55390 83151\n70218 100000\n1302 1941\n15929 23795\n33006 49518\n38441 57711\n250 363\n7457 11126\n32837 49257\n54321 81536\n324 474\n18811 28125\n12645 18897\n77340 100000\n96628 100000\n61781 92704\n45032 67620\n69057 100000\n778 1149\n73453 100000\n41980 63052\n79647 100000\n26814 40152\n60746 91164\n42667 64086\n22004 32947\n62309 93506\n70046 100000\n46846 70351\n41582 62454\n17168 25655\n11467 17122\n16574 24761\n88587 100000\n33624 50457\n28443 42623\n31140 46691\n4370 6524\n97829 100000\n57337 86088\n717 1058\n77482 100000\n38312 57516\n91087 100000\n26695 39973\n19506 29186\n25408 38040\n66320 99461\n95148 100000\n19845 29703\n17230 25744\n61892 92874\n67613 100000\n27342 40955\n11128 16608\n6839 10180\n67471 100000\n7292 10877\n62187 93318\n70929 100000\n39080 58691\n23787 35600\n78991 100000\n78248 100000\n24488 36647\n37981 56996\n55486 83296\n31097 46628\n18333 27405\n81917 100000\n46125 69255\n64244 96376\n10883 16236\n97689 100000\n19108 28575\n50680 76123\n14727 21985\n67403 100000\n45130 67765\n14566 21753\n98553 100000\n8124 12110\n33861 50810\n24509 36680\n57645 86539\n84987 100000\n96996 100000\n82959 100000\n54775 82219\n54694 82097\n67785 100000\n32207 48297\n11657 17399\n59217 88896\n8058 12014\n89683 100000\n88142 100000\n70607 100000\n1307 1949\n68243 100000\n38118 57208\n22496 33682\n30913 46357\n89483 100000\n61100 91695\n47561 71444\n90579 100000\n73492 100000\n51866 77886\n80000 100000\n68479 100000\n92023 100000\n36343 54552\n33208 49828\n66151 99203\n63371 95063\n78936 100000\n29352 43988\n72103 100000\n45028 67614\n34169 51264\n43654 65566\n90632 100000\n83208 100000\n86379 100000\n40711 61141\n75978 100000\n40796 61266\n26945 40355\n18529 27694\n85327 100000\n71820 100000\n16070 24007\n78366 100000\n6669 9925\n61309 92000\n58623 88010\n62762 94180\n23521 35202\n3570 5315\n45826 68810\n30927 46379\n54948 82474\n19726 29529\n29600 44357\n81274 100000\n97969 100000\n31591 47379\n3068 4563\n5430 8106\n60546 90864\n88881 100000\n26220 39251\n45469 68266\n32025 48025\n13973 20877\n85674 100000\n73612 100000\n59402 89169\n6463 9627\n52840 79317\n80660 100000\n44745 67193\n13389 20013\n96146 100000\n10085 15040\n8371 12477\n93472 100000\n46827 70323\n76481 100000\n11692 17455\n84373 100000\n5190 7757\n64948 97431\n61902 92890\n30668 45998\n44607 66979\n52772 79217\n33490 50249\n27414 41061\n43027 64633\n92806 100000\n42603 63995\n39738 59678\n6352 9456\n95246 100000\n29973 44919\n45554 68389\n27585 41330\n56938 85491\n93599 100000\n60617 90975\n54619 81981\n92011 100000\n50116 75273\n31485 47215\n27399 41036\n50007 75107\n36003 54043\n38986 58551\n39427 59218\n65450 98174\n14099 21064\n66858 100000\n72712 100000\n92562 100000\n66308 99444\n1935 2875\n9706 14463\n82210 100000\n45645 68535\n78475 100000\n8670 12921\n11541 17232\n89913 100000\n70466 100000\n5042 7535\n16858 25184\n35690 53563\n43378 65168\n83709 100000\n64414 96625\n21061 31534\n81844 100000\n76862 100000\n54708 82118\n81391 100000\n98981 100000\n40507 60828\n39786 59751\n51509 77359\n82510 100000\n1124 1666\n25115 37598\n61355 92068\n36130 54239\n40814 61291\n44803 67279\n40076 60173\n59171 88824\n51656 77573\n44602 66973\n51797 77787\n61981 93003\n41385 62159\n20378 30518\n71938 100000\n53566 80392\n5292 7908\n27906 41813\n5052 7551\n26951 40364\n9779 14581\n87797 100000\n7196 10728\n77557 100000\n58725 88171\n92243 100000\n39118 58745\n80966 100000\n87572 100000\n21989 32923\n64437 96660\n17050 25468\n59168 88819\n27811 41665\n28151 42169\n677 995\n9854 14689\n77011 100000\n11750 17544\n57953 86999\n11457 17105\n22965 34363\n84551 100000\n58862 88371\n7630 11385\n60476 90760\n88747 100000\n57405 86188\n92400 100000\n47729 71704\n68111 100000\n96739 100000\n10516 15668\n1270 1887\n56834 85336\n21596 32337\n18287 27338\n70823 100000\n75779 100000\n28053 42023\n962 1423\n97415 100000\n49748 74727\n9894 14753\n3843 5737\n20787 31133\n71222 100000\n18948 28331\n38461 57738\n30708 46052\n49382 74174\n84005 100000\n93156 100000\n93990 100000\n52000 78079\n17659 26388\n37402 56133\n8407 12529\n61628 92475\n64760 97153\n54342 81567\n97033 100000\n33270 49911\n95638 100000\n79209 100000\n67028 100000\n56137 84278\n41384 62158\n44966 67519\n44133 66278\n88650 100000\n36533 54829\n4902 7324\n74566 100000\n79979 100000\n90294 100000\n6026 8971\n17502 26165\n28482 42687\n16809 25112\n39842 59833\n94225 100000\n90403 100000\n89070 100000\n99360 100000\n54968 82505\n20710 31012\n10047 14984\n55262 82952\n46307 69536\n72939 100000\n4494 6708\n15073 22501\n83856 100000\n14528 21697\n65153 97734\n49816 74829\n78348 100000\n24891 37263\n13991 20905\n41674 62590\n61120 91727\n40166 60301\n83044 100000\n74581 100000\n74554 100000\n37392 56115\n15719 23487\n68095 100000\n69133 100000\n94428 100000\n78052 100000\n17195 25696\n21498 32189\n34622 51952\n52047 78146\n71481 100000\n14364 21455\n77172 100000\n87396 100000\n363 532\n31491 47224\n16989 25378\n63069 94621\n93891 100000\n8833 13162\n59849 89830\n13676 20436\n24804 37127\n90360 100000\n98535 100000\n33316 49986\n24285 36346\n62941 94440\n13948 20836\n37871 56830\n3599 5359\n77874 100000\n58728 88176\n36662 55023\n54064 81151\n33509 50277\n3569 5314\n79879 100000\n83687 100000\n82919 100000\n45549 68380\n43949 66004\n34085 51137\n76575 100000\n25647 38395\n56617 85001\n21066 31541\n30021 44993\n25448 38101\n31100 46633\n72100 100000\n90221 100000\n29978 44927\n83982 100000\n98522 100000\n74152 100000\n25505 38182\n70107 100000\n4390 6555\n16925 25279\n66399 99572\n94790 100000\n34827 52267\n14334 21414\n12454 18608\n13109 19594\n9851 14685\n85123 100000\n30032 45011\n16558 24735\n95463 100000\n91241 100000\n88086 100000\n26216 39246\n99041 100000\n31822 47712\n18041 26957\n84147 100000\n46744 70195\n98003 100000\n42956 64525\n29430 44105\n32060 48075\n96648 100000\n27238 40794\n81472 100000\n52959 79498\n3929 5859\n91160 100000\n48551 72913\n56694 85124\n71131 100000\n6 8\n10972 16378\n75723 100000\n84285 100000\n35380 53092\n80694 100000\n25576 38292\n28363 42494\n57621 86506\n97358 100000\n60314 90517\n45050 67650\n29418 44086\n54330 81550\n74889 100000\n65430 98146\n97812 100000\n66387 99558\n22599 33830\n52588 78940\n82358 100000\n14353 21439\n94627 100000\n78512 100000\n39674 59583\n59929 89953\n44841 67333\n95680 100000\n68203 100000\n31585 47371\n17185 25682\n21855 32725\n98885 100000\n6528 9723\n2293 3414\n79771 100000\n676 994\n65443 98164\n66108 99143\n86073 100000\n10643 15859\n41678 62597\n54842 82315\n44380 66649\n15780 23580\n34601 51921\n70724 100000\n60906 91413\n19518 29205\n86629 100000\n33309 49972\n46244 69436\n23760 35558\n44596 66963\n88457 100000\n81611 100000\n38070 57133\n93137 100000\n54586 81938\n79005 100000\n38262 57440\n15196 22687\n31201 46786\n92055 100000\n60184 90333\n43950 66006\n79369 100000\n46910 70445\n21087 31572\n71141 100000\n83951 100000\n96984 100000\n71387 100000\n22982 34389\n25286 37854\n51883 77907\n8425 12553\n67651 100000\n12013 17942\n35967 53987\n96419 100000\n76007 100000\n9363 13963\n35534 53327\n22467 33642\n72006 100000\n88128 100000\n51678 77603\n1464 2183\n33293 49947\n54749 82180\n36557 54861\n79822 100000\n15519 23176\n25977 38881\n52869 79360\n48981 73573\n52159 78314\n75607 100000\n23532 35219\n25607 38337\n5086 7604\n39036 58624\n63223 94845\n81802 100000\n30205 45278\n13359 19968\n62012 93051\n62786 94215\n46412 69691\n7545 11257\n57424 86213\n54499 81804\n52068 78178\n95409 100000\n60791 91237\n69487 100000\n79244 100000\n6047 9000\n39096 58716\n55467 83268\n94018 100000\n39465 59274\n67151 100000\n21374 31994\n48432 72734\n9568 14252\n35937 53941\n99473 100000\n98393 100000\n47259 70984\n9685 14428\n13694 20463\n41153 61807\n143 200\n77323 100000\n13597 20316\n67475 100000\n73184 100000\n76756 100000\n12404 18533\n44358 66616\n67935 100000\n82480 100000\n17684 26426\n55734 83683\n94798 100000\n57032 85630\n9146 13635\n72011 100000\n67003 100000\n41115 61753\n40074 60170\n40220 60387\n95030 100000\n78182 100000\n5781 8616\n53317 80027\n8982 13389\n1060 1570\n22499 33687\n68434 100000\n49860 74893\n95305 100000\n81634 100000\n19958 29870\n14696 21944\n92557 100000\n60628 90989\n12917 19301\n72983 100000\n47886 71932\n18611 27814\n61851 92808\n6853 10201\n27203 40739\n32515 48769\n2483 3690\n28627 42906\n86640 100000\n4021 5997\n19257 28804\n17047 25463\n16510 24665\n24888 37258\n96068 100000\n85811 100000\n22739 34037\n57914 86943\n40874 61381\n37344 56034\n9964 14861\n64334 96506\n96523 100000\n97031 100000\n69808 100000\n34774 52191\n7836 11682\n22778 34090\n1198 1784\n96470 100000\n21277 31858\n70296 100000\n60521 90825\n92121 100000\n67701 100000\n48678 73109\n7613 11358\n11570 17274\n93583 100000\n31180 46753\n75820 100000\n90350 100000\n18215 27228\n18704 27953\n59560 89404\n67024 100000\n56147 84293\n54710 82120\n42545 63901\n76110 100000\n8642 12877\n76817 100000\n8495 12659\n78676 100000\n94623 100000\n21319 31916\n57563 86420\n74015 100000\n19998 29934\n68791 100000\n17169 25657\n37564 56377\n84687 100000\n56950 85508\n18371 27458\n52965 79508\n21164 31687\n2915 4344\n98664 100000\n34312 51472\n28393 42541\n33655 50504\n92222 100000\n58521 87856\n61897 92883\n85825 100000\n83494 100000\n7255 10820\n95648 100000\n30843 46255\n12125 18117\n25428 38072\n29366 44009\n49884 74931\n20007 29950\n92028 100000\n35656 53508\n20864 31246\n13834 20671\n62696 94084\n66265 99380\n29718 44538\n31477 47202\n79901 100000\n47413 71212\n63215 94835\n70200 100000\n65946 98903\n36821 55266\n98462 100000\n94509 100000\n74160 100000\n62368 93592\n57591 86463\n44976 67532\n64372 96563\n31237 46840\n72589 100000\n37284 55950\n97652 100000\n66929 100000\n89513 100000\n2980 4435\n6641 9884\n2330 3465\n30225 45311\n66806 100000\n61009 91559\n44382 66653\n48813 73317\n93743 100000\n35257 52918\n52617 78987\n67384 100000\n67148 100000\n84286 100000\n87527 100000\n38112 57199\n1259 1873\n56608 84987\n1905 2832\n44040 66141\n64472 96719\n40517 60843\n71816 100000\n71216 100000\n33941 50924\n7385 11022\n19247 28788\n69980 100000\n92380 100000\n37724 56613\n99863 100000\n22835 34172\n71375 100000\n73475 100000\n75475 100000\n78253 100000\n76071 100000\n72279 100000\n80623 100000\n66553 99806\n64227 96349\n55300 83010\n5479 8170\n33772 50680\n72128 100000\n12116 18103\n71156 100000\n40427 60700\n50756 76237\n70889 100000\n61168 91797\n42913 64460\n57753 86694\n21650 32418\n54699 82104\n78864 100000\n78914 100000\n57776 86727\n84191 100000\n77561 100000\n2386 3546\n12458 18616\n60664 91040\n92796 100000\n332 487\n79311 100000\n24952 37357\n55209 82865\n57336 86086\n14521 21684\n62536 93838\n57580 86446\n68735 100000\n84775 100000\n29094 43603\n64551 96845\n41804 62788\n81387 100000\n58344 87585\n5389 8048\n35911 53902\n13466 20126\n60798 91248\n82181 100000\n17856 26672\n75461 100000\n37016 55554\n19521 29209\n14735 21997\n11595 17310\n5228 7813\n39089 58707\n7158 10668\n69110 100000\n65362 98044\n86016 100000\n8043 11993\n68273 100000\n69392 100000\n45787 68750\n28637 42921\n66795 100000\n96314 100000\n32223 48319\n1955 2900\n34489 51746\n79385 100000\n51092 76731\n34805 52234\n76984 100000\n23034 34465\n65857 98772\n95857 100000\n76362 100000\n5173 7732\n35700 53578\n95923 100000\n43899 65930\n86269 100000\n50424 75732\n11868 17726\n31138 46689\n11182 16689\n88778 100000\n73307 100000\n96324 100000\n18160 27147\n86714 100000\n86765 100000\n43789 65760\n40449 60733\n94303 100000\n63551 95332\n21565 32289\n8518 12695\n82465 100000\n67711 100000\n89300 100000\n94721 100000\n33420 50147\n6242 9289\n4221 6301\n59131 88767\n95120 100000\n21143 31655\n48932 73496\n68227 100000\n38868 58375\n47619 71538\n83273 100000\n69810 100000\n90575 100000\n16908 25259\n85682 100000\n43772 65737\n88895 100000\n76602 100000\n23916 35789\n13483 20151\n8006 11936\n41074 61691\n49097 73746\n94997 100000\n26210 39238\n13056 19511\n80163 100000\n83210 100000\n33215 49838\n3770 5623\n61523 92325\n21095 31582\n36432 54679\n77499 100000\n90643 100000\n89341 100000\n11834 17678\n16440 24560\n45667 68570\n55872 83893\n80538 100000\n6526 9719\n43961 66027\n93042 100000\n38071 57135\n55162 82796\n58304 87528\n75132 100000\n10709 15966\n25005 37441\n71604 100000\n72396 100000\n88649 100000\n14927 22278\n87841 100000\n66568 99829\n40708 61136\n98200 100000\n88761 100000\n11870 17729\n40851 61347\n4884 7296\n64809 97224\n16110 24065\n82822 100000\n70505 100000\n11346 16937\n98476 100000\n10823 16147\n37723 56612\n84389 100000\n96220 100000\n73950 100000\n21487 32174\n15619 23339\n92556 100000\n58646 88050\n76636 100000\n22509 33701\n2702 4025\n87800 100000\n33212 49834\n44087 66213\n29748 44584\n21181 31712\n62992 94512\n89800 100000\n66789 100000\n29237 43819\n78212 100000\n96923 100000\n78522 100000\n59395 89160\n6166 9176\n92666 100000\n41166 61826\n85235 100000\n66768 100000\n66076 99103\n41252 61959\n30109 45127\n37879 56841\n41371 62138\n84395 100000\n86524 100000\n56777 85246\n40362 60598\n80027 100000\n55908 83944\n43702 65635\n25053 37507\n83671 100000\n18156 27141\n6561 9771\n85070 100000\n31872 47786\n37572 56389\n52093 78213\n87477 100000\n87854 100000\n18986 28394\n86673 100000\n46152 69294\n55605 83486\n15114 22563\n12339 18436\n27107 40601\n11799 17623\n95967 100000\n6714 9987\n48008 72114\n19612 29350\n87466 100000\n95841 100000\n99007 100000\n43324 65089\n75582 100000\n60420 90677\n3800 5673\n69220 100000\n80271 100000\n31195 46776\n63666 95506\n46415 69697\n28233 42302\n44792 67263\n77192 100000\n58061 87165\n93780 100000\n96352 100000\n92514 100000\n91658 100000\n95885 100000\n5789 8629\n81191 100000\n31448 47161\n64183 96279\n11895 17768\n37992 57013\n77034 100000\n69979 100000\n19702 29492\n8924 13301\n58238 87426\n8476 12632\n46559 69917\n7748 11552\n87536 100000\n10924 16300\n34776 52193\n22263 33342\n97278 100000\n52254 78452\n94281 100000\n31511 47254\n40812 61287\n67245 100000\n47528 71392\n113 155\n26599 39829\n23623 35350\n57188 85867\n6647 9892\n53600 80450\n61047 91618\n39920 59944\n6502 9686\n96654 100000\n47405 71201\n26647 39901\n55990 84062\n17403 26007\n27844 41715\n66427 99615\n57394 86171\n95232 100000\n13715 20495\n66773 100000\n55081 82674\n69399 100000\n98579 100000\n39567 59425\n99890 100000\n4017 5992\n55485 83294\n7376 11006\n97573 100000\n88428 100000\n90696 100000\n68869 100000\n72223 100000\n93732 100000\n2367 3518\n48112 72270\n23327 34908\n78123 100000\n6661 9912\n43614 65505\n90132 100000\n76155 100000\n73118 100000\n17656 26385\n2279 3395\n34348 51523\n63498 95257\n9815 14629\n92016 100000\n43207 64914\n78511 100000\n49453 74281\n94631 100000\n20039 30000\n4094 6106\n6134 9126\n1577 2361\n88961 100000\n4353 6499\n27978 41919\n44889 67403\n6366 9476\n16611 24813\n92683 100000\n2783 4147\n3536 5264\n97084 100000\n32147 48208\n51235 76949\n99269 100000\n1800 2680\n69759 100000\n65838 98743\n65815 98712\n9379 13988\n70175 100000\n23918 35792\n37403 56135\n33919 50891\n9972 14873\n79743 100000\n57781 86734\n15002 22387\n81234 100000\n87707 100000\n49703 74658\n16599 24795\n81009 100000\n71628 100000\n20419 30583\n62080 93153\n9970 14870\n82086 100000\n67668 100000\n93286 100000\n27082 40564\n5647 8415\n32536 48798\n3697 5512\n60992 91533\n22298 33391\n21079 31560\n21328 31927\n85063 100000\n70508 100000\n88282 100000\n74326 100000\n86369 100000\n38950 58492\n3463 5148\n56043 84146\n98637 100000\n77317 100000\n33334 50014\n5214 7793\n99909 100000\n71981 100000\n32493 48737\n6375 9487\n64638 96976\n39311 59036\n91289 100000\n55534 83373\n4509 6734\n23036 34467\n35704 53585\n18358 27441\n16575 24762\n15608 23321\n63869 95817\n11533 17222\n17414 26025\n84549 100000\n65016 97537\n45060 67662\n28918 43340\n92723 100000\n67809 100000\n42613 64009\n50355 75625\n51250 76970\n60401 90647\n98998 100000\n13050 19501\n22954 34346\n53168 79795\n31767 47630\n78339 100000\n57954 87001\n61586 92414\n24351 36442\n15494 23134\n57622 86507\n39639 59534\n11133 16615\n79334 100000\n39358 59109\n50081 75223\n58750 88206\n64561 96862\n7709 11497\n32591 48883\n6485 9663\n9302 13877\n81379 100000\n54496 81800\n99431 100000\n74379 100000\n56176 84337\n73764 100000\n34479 51729\n89916 100000\n40976 61534\n83744 100000\n83916 100000\n76584 100000\n96708 100000\n15212 22712\n90141 100000\n97588 100000\n26445 39595\n65492 98239\n62162 93280\n19667 29436\n60572 90905\n73065 100000\n5669 8451\n47863 71899\n27133 40640\n47436 71246\n54106 81223\n56319 84558\n32398 48590\n69840 100000\n80336 100000\n71227 100000\n92839 100000\n66938 100000\n91493 100000\n13964 20862\n26952 40365\n18715 27972\n76105 100000\n55875 83897\n7637 11396\n9189 13698\n9200 13715\n25274 37838\n81949 100000\n67411 100000\n51075 76703\n45158 67802\n59246 88936\n12343 18442\n89782 100000\n74738 100000\n10293 15345\n35371 53078\n95249 100000\n62920 94412\n13649 20395\n1087 1609\n54471 81759\n74886 100000\n19386 29002\n73995 100000\n67844 100000\n12868 19232\n2718 4047\n1564 2339\n81909 100000\n97510 100000\n50760 76244\n78784 100000\n57809 86785\n30474 45697\n14465 21603\n81257 100000\n94396 100000\n43036 64646\n1775 2645\n69430 100000\n17309 25859\n2855 4254\n66499 99728\n17556 26237\n6469 9637\n54922 82435\n38165 57282\n80214 100000\n59152 88799\n74943 100000\n67323 100000\n77811 100000\n80562 100000\n45068 67674\n8440 12577\n84738 100000\n28456 42644\n84128 100000\n76705 100000\n93089 100000\n72785 100000\n80888 100000\n72148 100000\n61796 92728\n98135 100000\n30612 45907\n35452 53204\n16137 24106\n67042 100000\n11634 17368\n43079 64710\n37238 55887\n18391 27487\n98120 100000\n51664 77583\n87828 100000\n60112 90224\n72657 100000\n36701 55081\n96772 100000\n81688 100000\n85873 100000\n29785 44640\n11765 17567\n9878 14725\n67912 100000\n70353 100000\n74208 100000\n85971 100000\n4412 6590\n59936 89962\n3439 5113\n49200 73895\n38914 58440\n20013 29959\n99844 100000\n75700 100000\n85015 100000\n86126 100000\n47145 70805\n87255 100000\n37586 56410\n76835 100000\n72984 100000\n15657 23397\n16192 24188\n44858 67358\n77631 100000\n92103 100000\n89089 100000\n86944 100000\n90841 100000\n27104 40597\n23500 35174\n94885 100000\n60329 90538\n59900 89907\n82061 100000\n44412 66701\n39965 60011\n75841 100000\n39680 59593\n22678 33949\n59750 89685\n15895 23747\n40447 60730\n53570 80399\n79421 100000\n6794 10113\n22926 34304\n2583 3848\n89754 100000\n56763 85223\n70710 100000\n18442 27566\n29903 44813\n45456 68248\n19354 28954\n78964 100000\n94452 100000\n66678 100000\n67805 100000\n82436 100000\n59486 89298\n83060 100000\n27344 40957\n44096 66226\n32746 49115\n58297 87518\n80485 100000\n65779 98657\n6541 9739\n20641 30910\n40566 60916\n57932 86969\n25374 37986\n10942 16327\n23168 34665\n34948 52441\n49921 74978\n4547 6797\n53708 80609\n87569 100000\n71342 100000\n73371 100000\n82226 100000\n6272 9335\n26234 39272\n83978 100000\n45222 67903\n37799 56724\n72779 100000\n45604 68471\n51890 77919\n27680 41469\n83264 100000\n50693 76141\n33047 49578\n12014 17944\n88432 100000\n43437 65257\n54915 82424\n96399 100000\n6364 9473\n76859 100000\n44182 66353\n54606 81964\n61528 92332\n58276 87486\n27702 41503\n96078 100000\n79615 100000\n53194 79836\n29775 44624\n57538 86381\n29027 43504\n66959 100000\n8149 12153\n5835 8691\n38145 57252\n5161 7714\n12667 18930\n67347 100000\n35038 52578\n58782 88247\n80609 100000\n41941 62992\n27355 40973\n6787 10105\n5594 8334\n64627 96963\n61659 92521\n1083 1602\n65884 98815\n33710 50584\n2119 3157\n24370 36472\n65881 98810\n89875 100000\n78908 100000\n62642 94003\n55509 83332\n95511 100000\n45379 68133\n11937 17828\n25404 38035\n44469 66782\n95124 100000\n93166 100000\n41333 62082\n49509 74364\n35874 53848\n58664 88078\n62103 93191\n4003 5971\n90511 100000\n83927 100000\n75097 100000\n71904 100000\n41388 62164\n13264 19827\n62413 93657\n33478 50232\n80444 100000\n66007 98999\n40003 60067\n21887 32771\n19166 28665\n43115 64765\n83499 100000\n46024 69101\n70542 100000\n11811 17644\n12495 18670\n22268 33350\n53899 80905\n91478 100000\n61526 92329\n99327 100000\n670 986\n99084 100000\n80136 100000\n78341 100000\n77060 100000\n54320 81535\n7484 11166\n5453 8136\n74428 100000\n2080 3092\n5651 8422\n10359 15440\n69942 100000\n29674 44477\n42620 64018\n57913 86941\n5791 8631\n79016 100000\n45525 68341\n79249 100000\n36254 54422\n78327 100000\n1724 2571\n38309 57510\n27448 41114\n57201 85887\n85563 100000\n45342 68081\n27915 41827\n61081 91671\n59092 88706\n74866 100000\n66526 99767\n18366 27452\n48892 73435\n98130 100000\n75284 100000\n7207 10745\n25783 38595\n99447 100000\n65789 98670\n63277 94925\n67198 100000\n28300 42398\n26577 39794\n18815 28130\n64933 97406\n217 317\n40383 60632\n76080 100000\n53712 80614\n49630 74545\n38234 57395\n78005 100000\n39051 58649\n9934 14815\n24503 36669\n70955 100000\n33383 50095\n93867 100000\n39527 59367\n77137 100000\n1995 2961\n2764 4116\n61374 92092\n7136 10636\n44711 67140\n94722 100000\n65944 98900\n15724 23494\n92064 100000\n72369 100000\n21982 32914\n16616 24819\n44462 66773\n69067 100000\n46745 70196\n64284 96437\n8551 12738\n74776 100000\n85416 100000\n87968 100000\n93821 100000\n85346 100000\n46662 70068\n6639 9880\n40876 61385\n5909 8801\n150 210\n24286 36347\n97656 100000\n85086 100000\n47744 71726\n70990 100000\n64060 96099\n93590 100000\n54846 82322\n31606 47400\n95721 100000\n63961 95955\n30675 46008\n78083 100000\n9357 13956\n29986 44938\n27757 41589\n72703 100000\n75238 100000\n86206 100000\n58539 87884\n8 11\n52376 78630\n46232 69418\n38541 57868\n37407 56140\n13382 20004\n22099 33096\n57351 86108\n94106 100000\n72290 100000\n1003 1479\n61548 92358\n71381 100000\n67032 100000\n80581 100000\n68572 100000\n49607 74510\n92050 100000\n12132 18128\n61829 92775\n18508 27665\n6300 9375\n67987 100000\n46054 69142\n50867 76399\n87859 100000\n27624 41386\n97089 100000\n81346 100000\n61402 92134\n62044 93103\n19301 28872\n20578 30811\n39366 59121\n87905 100000\n58935 88479\n28653 42946\n8615 12838\n74652 100000\n73222 100000\n81704 100000\n12017 17948\n23328 34910\n95313 100000\n50518 75883\n47519 71378\n26548 39754\n73078 100000\n62021 93066\n1903 2830\n93361 100000\n61490 92273\n86410 100000\n28421 42587\n39077 58687\n54213 81375\n59164 88815\n27598 41348\n80701 100000\n41770 62734\n57408 86192\n90063 100000\n83333 100000\n40214 60377\n31714 47557\n19213 28736\n90625 100000\n30951 46419\n31756 47618\n34501 51765\n27169 40693\n90047 100000\n64652 96998\n91850 100000\n59504 89324\n17228 25741\n43550 65411\n69261 100000\n3127 4650\n49022 73635\n88981 100000\n68744 100000\n47546 71424\n34852 52302\n12628 18874\n87546 100000\n58498 87820\n16628 24836\n33346 50037\n47464 71293\n92512 100000\n17546 26224\n69825 100000\n97387 100000\n22361 33488\n18202 27206\n24388 36497\n19550 29256\n96551 100000\n26338 39436\n9089 13549\n35807 53745\n46005 69074\n97600 100000\n81124 100000\n46302 69529\n6017 8960\n50036 75153\n94837 100000\n29465 44153\n19227 28757\n2370 3523\n23271 34824\n43068 64696\n64314 96476\n72660 100000\n74690 100000\n12291 18361\n94565 100000\n36361 54578\n91021 100000\n78306 100000\n53377 80120\n87612 100000\n77553 100000\n37498 56278\n72950 100000\n10379 15465\n21591 32330\n31980 47953\n27611 41368\n44213 66397\n39689 59604\n21967 32891\n43320 65084\n56967 85530\n98282 100000\n3464 5149\n27434 41091\n91444 100000\n91246 100000\n66668 99983\n68859 100000\n57300 86033\n69350 100000\n30221 45304\n39892 59904\n48542 72901\n93606 100000\n89456 100000\n33994 51001\n70964 100000\n18873 28215\n55028 82592\n43790 65762\n88132 100000\n94383 100000\n54335 81558\n8955 13349\n65449 98173\n97054 100000\n20733 31049\n31313 46957\n97850 100000\n41423 62216\n61338 92045\n72728 100000\n33570 50370\n69124 100000\n31698 47534\n89688 100000\n73561 100000\n80337 100000\n19273 28830\n38127 57224\n1998 2965\n63550 95331\n53417 80175\n65371 98058\n61123 91730\n27047 40509\n77908 100000\n57440 86232\n36554 54857\n64024 96050\n15024 22424\n64268 96413\n9831 14653\n56778 85248\n11569 17272\n84520 100000\n80483 100000\n86653 100000\n18846 28173\n26550 39757\n1130 1675\n68708 100000\n17090 25528\n43258 64992\n98197 100000\n35074 52634\n22237 33299\n4419 6600\n98783 100000\n98994 100000\n45413 68187\n76608 100000\n42640 64050\n69824 100000\n92322 100000\n22988 34398\n12309 18390\n64819 97240\n63325 94997\n64186 96285\n99866 100000\n34195 51305\n65600 98396\n62339 93552\n33498 50262\n18822 28139\n60772 91208\n95481 100000\n3619 5394\n7840 11688\n20106 30100\n12658 18915\n39988 60044\n55712 83650\n40282 60480\n59460 89257\n44542 66889\n10593 15784\n21972 32898\n13221 19760\n34166 51261\n51743 77699\n646 950\n98969 100000\n47541 71415\n68126 100000\n11449 17094\n24380 36486\n18440 27563\n93041 100000\n50517 75881\n81997 100000\n37227 55869\n78308 100000\n34029 51057\n30870 46297\n84933 100000\n52483 78782\n71555 100000\n3119 4639\n58063 87169\n70468 100000\n23782 35592\n92543 100000\n22756 34064\n8894 13255\n50029 75143\n31605 47399\n17747 26512\n6730 10014\n96043 100000\n74705 100000\n61271 91938\n34957 52457\n60091 90193\n23084 34536\n78671 100000\n85488 100000\n42998 64589\n90421 100000\n60855 91335\n56093 84220\n14066 21017\n61680 92554\n24450 36588\n1710 2552\n14211 21235\n90477 100000\n73282 100000\n43346 65125\n94977 100000\n90712 100000\n45344 68083\n93066 100000\n61593 92423\n25159 37665\n32040 48047\n5238 7826\n40767 61219\n80015 100000\n90503 100000\n6120 9102\n286 417\n19199 28713\n82622 100000\n29908 44820\n53711 80613\n59959 89999\n71263 100000\n19152 28643\n6105 9082\n88829 100000\n64099 96159\n29833 44710\n52741 79174\n19286 28851\n72777 100000\n16624 24830\n19267 28820\n29776 44625\n85727 100000\n57279 85999\n57349 86104\n57367 86130\n39914 59934\n98798 100000\n42877 64400\n12538 18734\n86877 100000\n59083 88694\n82127 100000\n66501 99732\n46834 70330\n75844 100000\n13544 20236\n86829 100000\n96765 100000\n35340 53037\n58081 87195\n64165 96256\n53993 81045\n70059 100000\n72975 100000\n77794 100000\n21235 31795\n29913 44827\n10370 15456\n6792 10110\n37108 55687\n10676 15910\n64388 96588\n13271 19841\n94563 100000\n90444 100000\n59590 89453\n15668 23411\n60658 91032\n26937 40340\n12703 18989\n84784 100000\n90523 100000\n70750 100000\n539 798\n55126 82740\n78015 100000\n88200 100000\n45663 68562\n28562 42804\n36856 55317\n86070 100000\n56923 85468\n57431 86223\n93125 100000\n23567 35268\n26926 40324\n14776 22057\n33803 50723\n75563 100000\n75838 100000\n5115 7646\n83261 100000\n62652 94015\n46056 69146\n764 1127\n8715 12994\n39154 58802\n53520 80327\n87577 100000\n30483 45712\n60924 91439\n17269 25802\n98615 100000\n51260 76986\n31948 47902\n13536 20225\n47252 70972\n68557 100000\n45871 68871\n14046 20984\n82399 100000\n65020 97544\n10543 15706\n91792 100000\n79099 100000\n11568 17271\n72405 100000\n2584 3849\n51545 77410\n53396 80144\n88000 100000\n1695 2528\n6379 9493\n7288 10871\n94620 100000\n68612 100000\n38062 57121\n12194 18220\n80314 100000\n76733 100000\n84861 100000\n2812 4190\n22672 33938\n6155 9159\n28569 42813\n31871 47784\n28472 42670\n91472 100000\n26391 39513\n60696 91087\n47186 70868\n58633 88028\n72550 100000\n25837 38677\n67177 100000\n3810 5689\n99739 100000\n69600 100000\n46766 70229\n90242 100000\n15258 22784\n63633 95456\n25583 38302\n66464 99674\n52173 78335\n20450 30622\n36396 54625\n15922 23785\n64319 96484\n55397 83162\n55143 82766\n11440 17080\n74722 100000\n72655 100000\n85081 100000\n61485 92264\n90590 100000\n65150 97730\n70054 100000\n36046 54108\n44456 66765\n95226 100000\n44598 66967\n85724 100000\n7106 10590\n53060 79639\n39524 59363\n77941 100000\n6810 10139\n41362 62125\n52769 79213\n4606 6881\n33695 50562\n82631 100000\n90899 100000\n60811 91267\n26905 40292\n55429 83211\n26862 40226\n56254 84453\n1290 1919\n24753 37053\n52640 79023\n67416 100000\n42812 64302\n75541 100000\n44988 67549\n87261 100000\n23234 34772\n53585 80424\n95509 100000\n81871 100000\n68169 100000\n35786 53713\n70530 100000\n42165 63323\n83646 100000\n82443 100000\n30839 46249\n95772 100000\n38865 58372\n32557 48830\n36032 54087\n61086 91677\n44675 67083\n73030 100000\n46400 69672\n15449 23068\n54701 82107\n35775 53694\n40697 61119\n65106 97667\n2076 3087\n40734 61174\n6506 9690\n59352 89096\n75656 100000\n54897 82398\n27760 41593\n26911 40302\n6874 10233\n80615 100000\n28981 43440\n42482 63817\n76940 100000\n72321 100000\n74984 100000\n51992 78068\n10914 16283\n80682 100000\n17552 26232\n47457 71280\n92298 100000\n74190 100000\n88025 100000\n21301 31892\n12995 19422\n20187 30218\n39681 59594\n81232 100000\n664 978\n41890 62916\n27654 41431\n24990 37417\n58254 87452\n30575 45849\n88936 100000\n93652 100000\n96805 100000\n61289 91966\n93492 100000\n65847 98756\n61491 92274\n25714 38500\n18024 26932\n65054 97594\n35383 53097\n32947 49428\n21644 32408\n83105 100000\n77343 100000\n11033 16467\n4754 7098\n92093 100000\n15850 23683\n84571 100000\n95469 100000\n4268 6369\n82566 100000\n51562 77433\n24076 36026\n37611 56449\n96236 100000\n7353 10974\n13325 19919\n60821 91285\n23544 35235\n88149 100000\n87814 100000\n8685 12947\n80307 100000\n77088 100000\n15523 23184\n96597 100000\n44359 66618\n13901 20772\n79674 100000\n22888 34249\n97239 100000\n17894 26732\n33471 50224\n33832 50766\n49888 74935\n62314 93514\n14047 20986\n99993 100000\n60844 91315\n2288 3407\n39637 59531\n43322 65087\n69290 100000\n34405 51614\n48145 72318\n41613 62503\n26727 40019\n74973 100000\n4554 6809\n3125 4648\n17036 25446\n25461 38118\n46510 69840\n97694 100000\n63000 94525\n94723 100000\n54588 81942\n69335 100000\n70222 100000\n33665 50520\n41379 62150\n83941 100000\n34988 52506\n1799 2678\n81295 100000\n92051 100000\n92496 100000\n65118 97686\n68871 100000\n56323 84563\n69467 100000\n2527 3761\n19284 28848\n50105 75258\n67512 100000\n92716 100000\n53262 79946\n13266 19831\n34183 51286\n98021 100000\n57326 86072\n19967 29884\n30590 45871\n11527 17212\n25106 37586\n18699 27947\n2258 3362\n77276 100000\n28904 43318\n84504 100000\n13459 20116\n88548 100000\n30295 45423\n53160 79786\n2217 3298\n18102 27053\n91112 100000\n32517 48772\n89170 100000\n46809 70295\n47142 70802\n22655 33912\n14320 21393\n49645 74565\n4314 6441\n14475 21617\n17364 25945\n90835 100000\n69256 100000\n81989 100000\n51757 77717\n17702 26448\n62159 93276\n73021 100000\n77661 100000\n49220 73930\n8994 13409\n55599 83475\n84043 100000\n12872 19237\n26201 39223\n16197 24195\n78760 100000\n80691 100000\n6974 10387\n16071 24009\n55446 83234\n46321 69559\n58047 87142\n76127 100000\n46581 69951\n27377 41006\n4978 7438\n96351 100000\n9552 14231\n23977 35888\n77476 100000\n53244 79920\n24087 36043\n88197 100000\n56413 84699\n82559 100000\n92146 100000\n10192 15193\n15820 23640\n37059 55617\n36192 54334\n74440 100000\n29911 44824\n24926 37314\n53343 80067\n8700 12970\n52266 78472\n82613 100000\n26768 40084\n86995 100000\n36082 54169\n53927 80946\n73192 100000\n92411 100000\n94839 100000\n20263 30337\n79890 100000\n97803 100000\n20386 30530\n24513 36687\n13986 20898\n48041 72161\n30055 45044\n51140 76806\n22085 33072\n4226 6307\n73800 100000\n45728 68661\n50591 75993\n74535 100000\n87203 100000\n55042 82613\n88493 100000\n43173 64860\n59057 88660\n33164 49758\n57683 86594\n66594 99871\n44942 67481\n85064 100000\n9629 14342\n9866 14707\n91816 100000\n59586 89447\n7438 11100\n84101 100000\n6866 10221\n60502 90797\n38623 57992\n41162 61821\n16296 24340\n20826 31188\n52110 78238\n19306 28880\n12616 18854\n22078 33061\n11625 17354\n24173 36172\n49460 74293\n6598 9822\n68915 100000\n24773 37081\n17524 26194\n26412 39546\n22880 34238\n94988 100000\n18931 28306\n47923 71986\n85863 100000\n80103 100000\n96270 100000\n59530 89362\n77745 100000\n81606 100000\n78252 100000\n23569 35271\n46469 69777\n34522 51798\n49809 74818\n94345 100000\n55643 83543\n13375 19994\n75056 100000\n55583 83450\n50646 76075\n6737 10025\n9384 13995\n62449 93705\n13163 19674\n42149 63302\n78821 100000\n62716 94113\n56197 84366\n41574 62445\n75546 100000\n3655 5446\n91814 100000\n21536 32245\n8050 12002\n8719 12999\n95863 100000\n48534 72888\n42032 63124\n11087 16550\n69798 100000\n11913 17795\n11969 17876\n18095 27041\n57579 86444\n82015 100000\n61803 92737\n80957 100000\n85111 100000\n58263 87467\n65235 97854\n35851 53812\n58853 88360\n40897 61418\n77611 100000\n64049 96084\n66861 100000\n88387 100000\n77982 100000\n12642 18892\n99674 100000\n80496 100000\n24435 36564\n96865 100000\n43011 64610\n13816 20642\n29643 44423\n44761 67216\n74328 100000\n33196 49809\n91489 100000\n71289 100000\n86759 100000\n45173 67830\n29439 44116\n51270 77000\n95812 100000\n78185 100000\n20899 31299\n45620 68497\n59851 89833\n90427 100000\n51160 76836\n93242 100000\n12875 19242\n33621 50451\n46035 69117\n59198 88867\n98060 100000\n68598 100000\n13431 20075\n24422 36545\n48039 72158\n6885 10253\n14510 21665\n75740 100000\n89169 100000\n28289 42382\n9502 14162\n62778 94204\n72485 100000\n19897 29781\n92260 100000\n38806 58276\n30759 46127\n22793 34111\n32129 48180\n9023 13451\n94198 100000\n44415 66705\n5392 8052\n9156 13650\n65910 98852\n87260 100000\n57792 86754\n7147 10654\n26185 39196\n15727 23498\n56129 84269\n72398 100000\n47707 71670\n41437 62237\n33787 50701\n17921 26777\n57816 86794\n42752 64213\n57311 86049\n56827 85323\n20771 31106\n91196 100000\n20025 29976\n50868 76400\n9520 14190\n557 818\n6873 10231\n67417 100000\n99225 100000\n65562 98341\n81941 100000\n47632 71555\n8062 12019\n7480 11160\n31103 46638\n5407 8073\n31867 47777\n33840 50778\n52864 79351\n91864 100000\n31378 47056\n11407 17029\n72044 100000\n84731 100000\n63273 94919\n66146 99196\n95090 100000\n8530 12711\n52227 78413\n26863 40227\n47087 70714\n41671 62586\n45998 69064\n39672 59580\n21741 32553\n95992 100000\n52278 78486\n9076 13528\n95867 100000\n43100 64741\n57715 86640\n57475 86284\n47130 70783\n3204 4766\n55329 83058\n95579 100000\n53360 80091\n88771 100000\n38413 57671\n19280 28842\n19805 29646\n99124 100000\n14259 21306\n38483 57775\n38690 58096\n70736 100000\n13308 19895\n41365 62128\n84352 100000\n74753 100000\n93983 100000\n75966 100000\n93858 100000\n44686 67102\n61071 91657\n67179 100000\n36993 55518\n73049 100000\n9252 13800\n38649 58032\n23667 35416\n80413 100000\n81423 100000\n61003 91549\n44689 67107\n47607 71518\n54711 82122\n51853 77868\n13002 19431\n62128 93229\n78471 100000\n98571 100000\n29036 43518\n89028 100000\n27321 40923\n56132 84273\n26281 39345\n31007 46497\n82125 100000\n68936 100000\n30659 45981\n23448 35100\n87000 100000\n31017 46510\n27435 41093\n91591 100000\n88022 100000\n93060 100000\n80054 100000\n18929 28302\n69651 100000\n92821 100000\n16491 24637\n63174 94773\n98398 100000\n25437 38084\n77036 100000\n94004 100000\n56377 84650\n84086 100000\n60796 91245\n30688 46024\n68563 100000\n81881 100000\n79146 100000\n33908 50877\n93872 100000\n73528 100000\n38774 58222\n20354 30485\n62827 94276\n11911 17791\n18824 28142\n50549 75934\n57026 85620\n94288 100000\n24460 36606\n82310 100000\n30172 45227\n3434 5104\n25070 37534\n26959 40375\n73077 100000\n71718 100000\n90337 100000\n43147 64821\n89643 100000\n45026 67611\n8075 12038\n12099 18076\n87532 100000\n89552 100000\n71098 100000\n78338 100000\n4371 6526\n46473 69784\n27195 40728\n81025 100000\n62481 93757\n82418 100000\n14670 21910\n58550 87902\n76138 100000\n11392 17007\n15226 22734\n11472 17129\n1960 2909\n66363 99525\n19497 29169\n59720 89640\n18101 27051\n45524 68340\n40959 61508\n3316 4925\n58261 87464\n43321 65086\n46389 69657\n89966 100000\n31158 46719\n11694 17458\n78980 100000\n66377 99544\n36756 55166\n3190 4747\n98830 100000\n34026 51051\n20078 30056\n41620 62514\n39620 59505\n42403 63704\n64845 97279\n56957 85518\n32813 49219\n91605 100000\n70047 100000\n31456 47174\n61793 92724\n96558 100000\n44577 66936\n96887 100000\n27921 41836\n49525 74384\n80951 100000\n61166 91795\n71438 100000\n23342 34932\n94447 100000\n14097 21061\n29309 43926\n84368 100000\n43428 65244\n5913 8805\n75349 100000\n51982 78053\n75375 100000\n2089 3107\n44464 66777\n53232 79900\n51615 77515\n67119 100000\n19277 28836\n20026 29978\n49944 75010\n34088 51141\n54058 81141\n65079 97628\n48426 72725\n43849 65850\n30327 45474\n82019 100000\n16914 25267\n28711 43026\n54927 82444\n80506 100000\n24619 36844\n40674 61084\n33371 50078\n61824 92766\n82894 100000\n19627 29374\n81582 100000\n53584 80422\n16862 25190\n57675 86582\n94608 100000\n38594 57948\n44431 66731\n71740 100000\n36790 55216\n89333 100000\n4168 6222\n33605 50424\n38650 58033\n30719 46067\n36164 54291\n96891 100000\n89703 100000\n29200 43764\n71889 100000\n71741 100000\n18327 27394\n8218 12252\n14489 21636\n961 1422\n98153 100000\n42466 63791\n77854 100000\n56298 84524\n68287 100000\n95155 100000\n30664 45990\n4281 6390\n84665 100000\n17266 25797\n30360 45521\n44403 66685\n50063 75194\n55163 82798\n47260 70986\n15171 22652\n30062 45055\n17703 26450\n58930 88473\n29963 44901\n74777 100000\n68657 100000\n42506 63849\n8235 12278\n24309 36382\n57462 86264\n17062 25487\n22555 33766\n41791 62767\n9864 14705\n13736 20526\n87786 100000\n50562 75950\n34060 51102\n37904 56877\n87379 100000\n97344 100000\n66136 99180\n32159 48227\n5162 7715\n86385 100000\n17779 26554\n67953 100000\n40755 61204\n33019 49538\n76610 100000\n2395 3559\n79559 100000\n91637 100000\n6032 8979\n97175 100000\n23289 34850\n939 1388\n40542 60883\n42349 63622\n2284 3402\n19657 29421\n52861 79346\n91455 100000\n80622 100000\n84723 100000\n32478 48715\n37448 56202\n27049 40513\n19010 28424\n24979 37400\n34587 51900\n51948 78003\n91234 100000\n75224 100000\n46329 69571\n66220 99311\n636 935\n90113 100000\n30332 45484\n17797 26587\n91017 100000\n3070 4566\n96660 100000\n74093 100000\n13648 20394\n58504 87828\n15911 23772\n13058 19513\n33626 50460\n66535 99778\n62637 93995\n25119 37604\n26135 39121\n36028 54083\n50125 75286\n44524 66865\n20196 30230\n90939 100000\n31285 46914\n73268 100000\n78336 100000\n51716 77662\n33071 49617\n64664 97013\n84926 100000\n78046 100000\n89718 100000\n79046 100000\n76720 100000\n17866 26689\n72291 100000\n63419 95134\n36908 55391\n52385 78644\n76959 100000\n69775 100000\n5538 8257\n60878 91369\n23547 35239\n97225 100000\n56572 84936\n70817 100000\n19329 28918\n40857 61355\n51522 77375\n58804 88284\n94920 100000\n70938 100000\n29357 43995\n11778 17587\n68776 100000\n34574 51879\n26648 39903\n23559 35257\n78271 100000\n2807 4182\n76669 100000\n8872 13224\n31189 46768\n46248 69442\n28658 42952\n16036 23954\n15172 22653\n37034 55580\n52570 78915\n52356 78601\n83283 100000\n715 1056\n54104 81220\n95268 100000\n39412 59193\n55526 83357\n90003 100000\n23140 34625\n1673 2495\n79432 100000\n25982 38889\n8321 12400\n35522 53313\n64981 97482\n36860 55323\n15091 22528\n81782 100000\n93461 100000\n81451 100000\n13078 19547\n54255 81436\n66655 99962\n37750 56651\n1385 2063\n74905 100000\n241 349\n37982 56998\n15947 23822\n47940 72012\n49468 74302\n57141 85791\n79906 100000\n30618 45917\n74602 100000\n84850 100000\n26563 39774\n38981 58542\n96681 100000\n83169 100000\n88715 100000\n34553 51844\n94970 100000\n42211 63397\n26598 39827\n39762 59713\n83357 100000\n57318 86060\n74238 100000\n88928 100000\n59887 89888\n72717 100000\n32693 49039\n68299 100000\n43868 65880\n93804 100000\n83807 100000\n35365 53069\n76443 100000\n78788 100000\n15253 22776\n52085 78201\n45455 68246\n94958 100000\n83742 100000\n60372 90603\n27219 40765\n52326 78557\n16488 24631\n40749 61196\n10980 16388\n47638 71565\n57769 86716\n46572 69938\n56795 85273\n47109 70748\n7422 11076\n4330 6466\n35145 52746\n37923 56909\n31914 47851\n65453 98177\n31399 47088\n98706 100000\n8591 12802\n37330 56014\n51413 77219\n75230 100000\n42028 63118\n41111 61746\n3624 5401\n18618 27825\n77539 100000\n1192 1773\n73540 100000\n65663 98481\n62581 93908\n91582 100000\n79718 100000\n84256 100000\n17139 25607\n90139 100000\n86784 100000\n97428 100000\n88326 100000\n19868 29735\n55257 82942\n28095 42087\n41414 62204\n54709 82119\n33519 50292\n6158 9163\n93527 100000\n54552 81887\n44295 66518\n18972 28370\n68478 100000\n13532 20220\n63016 94548\n11070 16524\n32838 49258\n38816 58291\n40840 61331\n51634 77542\n34182 51284\n69345 100000\n84918 100000\n28638 42922\n11219 16739\n41106 61740\n82669 100000\n18177 27171\n90149 100000\n73143 100000\n62400 93639\n85798 100000\n62961 94466\n61307 91997\n61848 92802\n72373 100000\n82281 100000\n33156 49746\n15517 23173\n62545 93854\n11705 17475\n61002 91548\n54400 81654\n2414 3589\n99680 100000\n15814 23630\n60761 91189\n86564 100000\n38611 57972\n11659 17401\n11947 17845\n68046 100000\n826 1219\n81339 100000\n20440 30609\n98442 100000\n87273 100000\n43681 65607\n61346 92056\n28651 42943\n63972 95970\n50233 75436\n40995 61565\n14061 21007\n17973 26858\n23335 34922\n90749 100000\n39537 59381\n86189 100000\n42044 63141\n88621 100000\n42694 64124\n70898 100000\n81028 100000\n97402 100000\n30479 45706\n95844 100000\n16792 25089\n92640 100000\n33727 50607\n41272 61989\n71026 100000\n78467 100000\n80545 100000\n74275 100000\n77327 100000\n76819 100000\n83091 100000\n70427 100000\n66803 100000\n82523 100000\n58226 87410\n42809 64297\n94969 100000\n15796 23604\n26111 39087\n52175 78339\n91427 100000\n81465 100000\n72019 100000\n69850 100000\n38759 58200\n66310 99446\n24176 36178\n84316 100000\n18399 27501\n84783 100000\n46593 69966\n97598 100000\n20435 30603\n65755 98624\n76309 100000\n43205 64911\n20126 30128\n52503 78812\n3057 4547\n857 1261\n41691 62618\n52911 79422\n32790 49184\n89007 100000\n83192 100000\n51477 77314\n1031 1523\n47601 71508\n15711 23477\n4976 7435\n79222 100000\n59350 89092\n39603 59480\n3818 5700\n75129 100000\n69065 100000\n64331 96501\n24650 36893\n81754 100000\n5287 7902\n17497 26156\n75460 100000\n57133 85780\n73263 100000\n58870 88382\n4712 7032\n22399 33543\n31009 46499\n90988 100000\n4167 6220\n67301 100000\n73370 100000\n23308 34878\n43893 65920\n86113 100000\n23965 35867\n39571 59431\n9543 14220\n51360 77136\n10694 15939\n86295 100000\n70077 100000\n59059 88663\n53093 79682\n33520 50294\n26061 39008\n64558 96856\n16250 24271\n52182 78350\n27879 41770\n75292 100000\n17573 26263\n77999 100000\n52704 79121\n14679 21923\n90272 100000\n11372 16976\n60864 91349\n62500 93786\n40234 60407\n73162 100000\n74810 100000\n61389 92116\n6637 9877\n22911 34281\n5146 7694\n11902 17780\n3093 4601\n24874 37237\n3360 4992\n46707 70141\n10398 15495\n82221 100000\n9509 14172\n29934 44860\n39067 58673\n6094 9064\n84761 100000\n50556 75944\n42387 63677\n38434 57702\n24447 36584\n31815 47702\n63005 94533\n49119 73776\n41461 62268\n87250 100000\n71703 100000\n85717 100000\n60119 90235\n94295 100000\n7401 11046\n37141 55739\n66633 99927\n50819 76330\n83752 100000\n6831 10166\n68703 100000\n1826 2715\n50132 75296\n20146 30159\n57137 85786\n98094 100000\n97433 100000\n11773 17580\n20618 30871\n25734 38525\n11179 16684\n8812 13133\n75348 100000\n32156 48222\n76180 100000\n54723 82140\n71551 100000\n17305 25854\n25617 38350\n56046 84151\n44315 66550\n45521 68336\n72834 100000\n46066 69162\n73876 100000\n35414 53144\n14901 22239\n43722 65664\n51589 77474\n88112 100000\n77546 100000\n46409 69687\n25538 38232\n17686 26429\n748 1104\n85166 100000\n59284 88998\n33360 50060\n85633 100000\n57909 86936\n74807 100000\n73122 100000\n36877 55345\n58818 88308\n96794 100000\n18308 27368\n97220 100000\n90447 100000\n79014 100000\n66628 99921\n61463 92233\n97 132\n56384 84659\n5938 8842\n60509 90807\n37901 56872\n46100 69215\n7720 11514\n87096 100000\n35326 53017\n30932 46387\n61288 91964\n28271 42355\n100 135\n65825 98725\n82373 100000\n15585 23285\n22086 33074\n71646 100000\n90980 100000\n66187 99261\n55410 83183\n98167 100000\n9138 13624\n23176 34678\n12551 18755\n57814 86791\n76215 100000\n70017 100000\n92867 100000\n86533 100000\n32551 48820\n52595 78950\n32344 48504\n89706 100000\n91320 100000\n87292 100000\n89295 100000\n7968 11875\n58315 87546\n82555 100000\n81966 100000\n12430 18571\n48371 72645\n87973 100000\n40439 60718\n13521 20205\n31535 47293\n92747 100000\n11866 17723\n11589 17301\n26430 39572\n45151 67794\n81206 100000\n97204 100000\n11199 16709\n92130 100000\n78277 100000\n57948 86990\n6651 9897\n227 330\n66774 100000\n41685 62609\n47429 71237\n87302 100000\n15319 22874\n93473 100000\n90245 100000\n59227 88911\n81399 100000\n8268 12322\n83919 100000\n44117 66254\n56891 85424\n14306 21373\n36316 54511\n61623 92466\n44367 66629\n20685 30973\n38861 58365\n54469 81755\n83674 100000\n37252 55909\n15509 23159\n81874 100000\n977 1446\n23909 35779\n41692 62620\n46105 69225\n1463 2181\n36958 55462\n19196 28710\n81660 100000\n31523 47273\n13038 19484\n56477 84795\n15132 22593\n97698 100000\n40843 61336\n89551 100000\n27010 40454\n82870 100000\n83413 100000\n39304 59024\n51857 77874\n38488 57783\n82096 100000\n62831 94281\n21447 32111\n34130 51205\n67612 100000\n21099 31588\n52992 79548\n50173 75354\n29574 44316\n19110 28578\n82969 100000\n93785 100000\n28666 42963\n56830 85328\n26069 39022\n49585 74476\n99086 100000\n75141 100000\n12440 18588\n64635 96973\n35950 53961\n99487 100000\n45686 68600\n70205 100000\n63197 94807\n36754 55162\n9297 13870\n73809 100000\n13804 20623\n37164 55773\n50647 76077\n59434 89218\n11697 17462\n3280 4877\n29828 44703\n95978 100000\n20448 30620\n86351 100000\n67036 100000\n18724 27987\n40430 60705\n27478 41162\n38109 57194\n36847 55305\n78244 100000\n77111 100000\n88012 100000\n18905 28267\n29642 44422\n82607 100000\n74912 100000\n87537 100000\n68375 100000\n98141 100000\n89987 100000\n62248 93414\n43135 64798\n18275 27322\n30173 45228\n81595 100000\n82915 100000\n65459 98185\n94207 100000\n52934 79462\n8228 12267\n44272 66486\n46773 70240\n6185 9207\n18646 27867\n61935 92937\n62061 93127\n75228 100000\n44112 66247\n88098 100000\n2130 3175\n54712 82124\n72936 100000\n92847 100000\n84288 100000\n8736 13020\n97170 100000\n63281 94929\n5332 7966\n14107 21076\n73004 100000\n82051 100000\n84835 100000\n5246 7836\n66707 100000\n17481 26132\n57600 86474\n88478 100000\n15967 23853\n10871 16218\n52485 78785\n8913 13287\n78167 100000\n28776 43124\n13913 20787\n95854 100000\n70198 100000\n51811 77805\n99143 100000\n64766 97161\n43262 64996\n16524 24684\n21352 31960\n15338 22903\n8563 12758\n24329 36409\n88203 100000\n31302 46939\n54293 81496\n95009 100000\n85295 100000\n61562 92380\n79282 100000\n82932 100000\n43711 65649\n71671 100000\n18875 28219\n24306 36377\n55268 82960\n68005 100000\n93903 100000\n5036 7527\n90207 100000\n93165 100000\n40146 60274\n60841 91311\n24555 36746\n5159 7710\n33756 50653\n61062 91643\n86028 100000\n64647 96991\n27239 40796\n80881 100000\n7653 11418\n88908 100000\n49818 74831\n52940 79470\n86541 100000\n96199 100000\n39280 58987\n56666 85081\n45337 68074\n65074 97621\n17401 26003\n51533 77393\n60604 90954\n45235 67920\n55407 83179\n8245 12292\n52402 78666\n55226 82892\n58474 87778\n72138 100000\n56779 85249\n31723 47569\n78217 100000\n36902 55382\n67278 100000\n96658 100000\n84883 100000\n30654 45974\n33960 50952\n31984 47960\n83505 100000\n63206 94821\n55794 83776\n4697 7013\n37914 56893\n76826 100000\n40546 60888\n97786 100000\n30010 44975\n17398 25998\n81533 100000\n98132 100000\n49586 74478\n81787 100000\n2158 3216\n40055 60141\n10855 16195\n3181 4732\n72772 100000\n88252 100000\n92445 100000\n17579 26271\n34670 52027\n14381 21480\n81670 100000\n90399 100000\n85181 100000\n1620 2420\n6749 10044\n65212 97820\n40730 61167\n50211 75406\n31732 47583\n57525 86363\n78462 100000\n835 1234\n29469 44157\n41862 62873\n47368 71150\n40675 61086\n64562 96864\n78002 100000\n8202 12231\n12854 19212\n70826 100000\n77989 100000\n68792 100000\n48641 73053\n77627 100000\n60368 90597\n15951 23827\n19901 29787\n15037 22446\n18831 28152\n57379 86150\n80305 100000\n80799 100000\n80619 100000\n10262 15297\n22762 34070\n49836 74856\n21372 31992\n14044 20981\n5501 8202\n90320 100000\n84039 100000\n742 1096\n34069 51113\n2867 4270\n83736 100000\n28323 42436\n73444 100000\n32450 48670\n96051 100000\n37902 56874\n31907 47838\n69070 100000\n96612 100000\n80521 100000\n95942 100000\n5110 7639\n48507 72849\n35033 52572\n62194 93328\n18520 27681\n51814 77810\n49750 74730\n84303 100000\n9442 14079\n19331 28921\n63024 94559\n13860 20709\n44750 67200\n8457 12603\n46864 70378\n15290 22833\n97485 100000\n89733 100000\n82748 100000\n13481 20148\n9244 13786\n9621 14332\n12809 19149\n57558 86414\n65040 97573\n8257 12306\n75947 100000\n97986 100000\n55332 83062\n71416 100000\n88241 100000\n6274 9337\n19083 28533\n5780 8614\n69751 100000\n25089 37561\n22524 33723\n62039 93095\n33382 50093\n90157 100000\n57124 85767\n52448 78733\n56619 85004\n86707 100000\n30821 46221\n90455 100000\n15771 23566\n10669 15899\n78242 100000\n26706 39987\n9257 13807\n47006 70589\n69293 100000\n95714 100000\n78608 100000\n15191 22681\n923 1362\n85271 100000\n46702 70134\n79587 100000\n60430 90693\n47380 71167\n45817 68797\n69920 100000\n59918 89934\n96966 100000\n10409 15509\n61287 91962\n40414 60678\n16549 24720\n877 1289\n22763 34071\n56525 84867\n98599 100000\n52214 78395\n63409 95119\n44249 66451\n29088 43596\n93266 100000\n49865 74900\n26978 40403\n13324 19917\n53917 80931\n13518 20200\n20973 31408\n89957 100000\n43274 65014\n1829 2721\n68781 100000\n53197 79840\n81534 100000\n30028 45004\n72411 100000\n70045 100000\n80715 100000\n77150 100000\n13933 20815\n71383 100000\n63649 95481\n79399 100000\n90694 100000\n19218 28744\n81013 100000\n98361 100000\n11749 17542\n98877 100000\n7278 10855\n19441 29084\n76505 100000\n24589 36799\n3631 5412\n10500 15643\n47086 70712\n6880 10243\n87432 100000\n83220 100000\n29545 44271\n95743 100000\n63255 94891\n81085 100000\n32273 48393\n87827 100000\n11279 16836\n92070 100000\n92350 100000\n41749 62704\n96379 100000\n86446 100000\n60388 90628\n12958 19365\n22189 33228\n79798 100000\n16983 25367\n39515 59348\n50813 76322\n94330 100000\n93356 100000\n61015 91567\n14187 21198\n23859 35707\n83037 100000\n80818 100000\n83901 100000\n10927 16304\n40248 60429\n42340 63605\n6570 9784\n65687 98516\n93749 100000\n62477 93751\n68158 100000\n51839 77847\n74716 100000\n97215 100000\n89118 100000\n28857 43250\n86969 100000\n81531 100000\n98677 100000\n16513 24670\n31787 47659\n68179 100000\n68459 100000\n76328 100000\n19327 28914\n61065 91646\n63499 95258\n93992 100000\n35531 53324\n83730 100000\n62056 93120\n23287 34847\n51055 76672\n66812 100000\n20301 30401\n43920 65962\n52917 79433\n91683 100000\n84776 100000\n74718 100000\n67253 100000\n97482 100000\n51150 76820\n62599 93934\n81492 100000\n53970 81011\n7008 10437\n53083 79670\n97271 100000\n66838 100000\n43951 66007\n63646 95476\n28960 43404\n41017 61599\n7942 11835\n97464 100000\n85349 100000\n54041 81115\n33214 49837\n77432 100000\n58196 87361\n15896 23749\n71311 100000\n70206 100000\n92345 100000\n7789 11613\n49130 73795\n43694 65624\n23610 35328\n48774 73252\n90817 100000\n92338 100000\n19931 29830\n59671 89569\n70203 100000\n42681 64105\n87665 100000\n56153 84302\n31595 47384\n72167 100000\n75825 100000\n37118 55704\n70332 100000\n71392 100000\n57642 86534\n73450 100000\n15331 22894\n36612 54942\n56621 85008\n9535 14210\n35963 53980\n27362 40982\n60363 90589\n47221 70922\n20789 31137\n77907 100000\n3004 4472\n47366 71147\n11695 17459\n85744 100000\n18011 26911\n96028 100000\n12619 18859\n86851 100000\n24207 36227\n89996 100000\n97835 100000\n76226 100000\n73550 100000\n49227 73941\n84876 100000\n68450 100000\n36581 54895\n74081 100000\n22600 33831\n88737 100000\n62256 93425\n85037 100000\n17743 26508\n75415 100000\n15123 22579\n89793 100000\n39911 59929\n78375 100000\n11399 17016\n65615 98416\n76305 100000\n1402 2089\n19433 29071\n63919 95895\n81023 100000\n84220 100000\n68821 100000\n55040 82610\n58041 87132\n85470 100000\n69839 100000\n77960 100000\n94927 100000\n9917 14790\n91790 100000\n71854 100000\n98204 100000\n56674 85093\n15546 23221\n74740 100000\n2176 3243\n33170 49767\n14762 22039\n90746 100000\n2640 3932\n4679 6985\n90276 100000\n12225 18268\n59440 89228\n35870 53841\n95403 100000\n47025 70617\n14943 22302\n5861 8731\n65953 98914\n96338 100000\n88073 100000\n86072 100000\n97584 100000\n80810 100000\n27651 41427\n83673 100000\n65115 97682\n53532 80345\n43788 65759\n35931 53931\n29377 44026\n28425 42594\n266 386\n72761 100000\n59339 89076\n31694 47529\n8911 13284\n20496 30688\n99900 100000\n35968 53988\n14602 21801\n85837 100000\n92838 100000\n34572 51876\n63479 95226\n3651 5441\n91813 100000\n2854 4253\n83148 100000\n96052 100000\n12688 18965\n66549 99800\n98477 100000\n12873 19238\n5053 7552\n41124 61766\n88420 100000\n96262 100000\n35055 52604\n41624 62519\n25305 37879\n18153 27136\n34216 51335\n51067 76690\n30278 45393\n5237 7825\n68511 100000\n36592 54911\n77875 100000\n57587 86457\n1105 1636\n40227 60396\n48614 73008\n86275 100000\n54583 81932\n40889 61406\n92633 100000\n68553 100000\n64270 96417\n67111 100000\n30888 46319\n129 180\n1412 2105\n11965 17869\n46489 69811\n21303 31895\n90602 100000\n68202 100000\n69586 100000\n67239 100000\n26611 39845\n50879 76414\n82922 100000\n44679 67091\n97256 100000\n76456 100000\n74218 100000\n87971 100000\n83728 100000\n18346 27424\n80081 100000\n29310 43928\n29292 43900\n67677 100000\n41099 61728\n89377 100000\n91757 100000\n31352 47014\n41758 62717\n11988 17905\n68047 100000\n23975 35884\n42308 63552\n14342 21425\n27236 40791\n28248 42324\n88044 100000\n47916 71977\n36945 55443\n87443 100000\n8349 12440\n48916 73471\n45964 69013\n4006 5974\n19812 29656\n10548 15714\n23545 35236\n99391 100000\n20824 31185\n75198 100000\n31781 47649\n84951 100000\n12842 19194\n69094 100000\n50191 75377\n22631 33876\n26129 39112\n71180 100000\n77717 100000\n10480 15614\n34324 51491\n82785 100000\n28659 42954\n8523 12702\n27815 41672\n53233 79901\n88209 100000\n79609 100000\n22445 33613\n61999 93031\n43591 65471\n43245 64969\n51296 77040\n86532 100000\n87420 100000\n47516 71374\n9101 13569\n32404 48598\n84721 100000\n81411 100000\n73066 100000\n69556 100000\n72815 100000\n98435 100000\n16900 25245\n88268 100000\n21255 31823\n62451 93709\n26653 39911\n579 848\n57690 86606\n28097 42089\n76765 100000\n46142 69279\n38926 58460\n31540 47302\n87135 100000\n50828 76344\n24427 36553\n69411 100000\n72202 100000\n42423 63735\n93773 100000\n37074 55637\n55027 82591\n35068 52627\n96235 100000\n13349 19952\n57763 86708\n93874 100000\n25262 37819\n61056 91632\n71581 100000\n76732 100000\n67872 100000\n35470 53230\n95897 100000\n62227 93381\n58787 88256\n4867 7269\n31707 47546\n34979 52491\n24930 37320\n95512 100000\n69813 100000\n21116 31614\n42500 63841\n66147 99197\n39336 59071\n34772 52187\n90744 100000\n15198 22690\n43906 65940\n32335 48492\n1364 2034\n20872 31259\n26450 39602\n73657 100000\n35429 53167\n7 10\n81102 100000\n37231 55876\n49304 74054\n71588 100000\n60559 90883\n76933 100000\n5557 8282\n61447 92206\n48947 73519\n56087 84212\n27658 41437\n83749 100000\n84915 100000\n94234 100000\n94434 100000\n38384 57629\n60029 90103\n93152 100000\n68786 100000\n90319 100000\n15909 23769\n92942 100000\n85119 100000\n81470 100000\n65677 98501\n11274 16828\n17978 26864\n90927 100000\n23593 35305\n12167 18182\n94033 100000\n66190 99266\n12036 17977\n38190 57320\n57535 86377\n56660 85071\n55548 83396\n48465 72784\n29224 43801\n4513 6741\n56048 84154\n33250 49882\n1229 1830\n54997 82551\n27892 41791\n76341 100000\n70862 100000\n48747 73216\n27527 41241\n54933 82453\n39233 58914\n63656 95494\n70024 100000\n65542 98312\n57576 86439\n1779 2651\n50324 75580\n6935 10330\n37310 55985\n21073 31551\n38880 58395\n1193 1775\n80804 100000\n73354 100000\n43138 64803\n76520 100000\n32440 48656\n48389 72669\n52152 78302\n52913 79426\n78211 100000\n52029 78121\n16525 24686\n91630 100000\n98409 100000\n3995 5959\n75221 100000\n61173 91805\n5202 7773\n3003 4470\n54419 81683\n79330 100000\n87246 100000\n51847 77859\n76598 100000\n23418 35051\n74380 100000\n3581 5331\n11307 16875\n97473 100000\n82166 100000\n13265 19829\n24742 37036\n1743 2597\n16612 24814\n35184 52805\n82278 100000\n23606 35322\n6425 9563\n78078 100000\n88600 100000\n32562 48838\n9162 13660\n84105 100000\n67097 100000\n37355 56054\n14421 21539\n40855 61352\n35376 53086\n48461 72778\n67095 100000\n75536 100000\n577 845\n10198 15200\n93494 100000\n81655 100000\n45090 67704\n44027 66124\n96609 100000\n27681 41471\n13443 20093\n84936 100000\n40335 60555\n48124 72291\n45962 69010\n22115 33117\n47222 70923\n99639 100000\n59684 89587\n59917 89933\n92872 100000\n51136 76799\n1186 1764\n75532 100000\n42513 63859\n5799 8642\n22879 34236\n19553 29259\n44916 67439\n94913 100000\n19611 29348\n63881 95836\n92916 100000\n37601 56431\n79240 100000\n43840 65838\n69916 100000\n58909 88441\n74206 100000\n25704 38486\n1009 1490\n47418 71219\n57477 86288\n11706 17477\n48400 72687\n47274 71009\n34810 52240\n97062 100000\n70848 100000\n8661 12908\n20646 30916\n4190 6257\n22308 33407\n46360 69616\n54366 81603\n65727 98579\n98287 100000\n36854 55314\n85737 100000\n5877 8755\n26406 39538\n93918 100000\n23453 35107\n22002 32944\n71457 100000\n77291 100000\n82805 100000\n64405 96612\n35114 52699\n46319 69555\n14926 22277\n83153 100000\n87804 100000\n46519 69854\n56943 85498\n80794 100000\n93145 100000\n72317 100000\n89926 100000\n1022 1509\n41260 61971\n49225 73939\n83669 100000\n12283 18347\n96901 100000\n29017 43489\n4925 7356\n25573 38286\n96515 100000\n16924 25278\n61854 92813\n67063 100000\n22533 33736\n10473 15604\n14058 21001\n79424 100000\n5664 8443\n76452 100000\n3909 5831\n77625 100000\n61809 92746\n67853 100000\n8817 13142\n76539 100000\n40292 60496\n54517 81832\n30177 45232\n59375 89131\n39780 59742\n73503 100000\n17885 26720\n72598 100000\n92619 100000\n39507 59337\n70587 100000\n48103 72254\n64032 96062\n86059 100000\n44070 66188\n84186 100000\n78698 100000\n55123 82736\n56915 85459\n4103 6121\n46520 69856\n48391 72672\n63763 95654\n42608 64003\n25688 38460\n95331 100000\n46943 70492\n53727 80638\n39777 59738\n80762 100000\n69844 100000\n68062 100000\n53026 79595\n60788 91232\n22440 33606\n58830 88325\n75665 100000\n79894 100000\n62276 93458\n63828 95758\n89918 100000\n33282 49931\n69271 100000\n60326 90535\n6686 9950\n32659 48985\n6438 9586\n44314 66548\n25019 37462\n92372 100000\n23103 34566\n66973 100000\n72168 100000\n90028 100000\n7758 11565\n80525 100000\n70148 100000\n81155 100000\n93050 100000\n74786 100000\n56134 84275\n85718 100000\n22710 33995\n46222 69401\n55322 83046\n59005 88584\n52399 78663\n32872 49320\n7504 11197\n46862 70376\n5483 8176\n95427 100000\n86996 100000\n35093 52664\n14186 21197\n97247 100000\n47510 71366\n88661 100000\n65499 98251\n63180 94782\n89872 100000\n24000 35919\n13702 20476\n91507 100000\n3861 5763\n69025 100000\n18781 28076\n71926 100000\n49364 74146\n77662 100000\n56574 84938\n21468 32145\n64792 97198\n99223 100000\n16097 24046\n23582 35289\n69581 100000\n1941 2884\n19530 29224\n61084 91675\n73886 100000\n5051 7550\n62852 94314\n30409 45598\n28033 41994\n73792 100000\n48965 73545\n64686 97047\n95096 100000\n81240 100000\n46637 70032\n73364 100000\n44154 66308\n70225 100000\n80621 100000\n44935 67468\n72919 100000\n34152 51239\n35 50\n73936 100000\n9637 14353\n56380 84654\n90093 100000\n20389 30534\n19017 28435\n85281 100000\n43538 65393\n82415 100000\n92275 100000\n42030 63121\n22318 33423\n53259 79940\n19532 29226\n99907 100000\n46578 69948\n73959 100000\n1662 2482\n21868 32743\n96734 100000\n89642 100000\n50981 76564\n82610 100000\n36698 55078\n956 1416\n98460 100000\n45747 68689\n56577 84941\n9263 13816\n72511 100000\n21915 32813\n21760 32580\n61185 91821\n64624 96957\n79400 100000\n53890 80891\n99410 100000\n51885 77910\n96620 100000\n64646 96990\n93882 100000\n25402 38032\n49569 74450\n66004 98994\n62394 93630\n40452 60737\n15602 23311\n24581 36788\n44453 66761\n88424 100000\n60110 90220\n38004 57033\n18748 28025\n20417 30581\n42892 64425\n23105 34570\n31292 46926\n92702 100000\n34753 52157\n23758 35555\n36601 54926\n8203 12232\n46309 69540\n9844 14673\n1495 2233\n61363 92077\n11176 16678\n87522 100000\n58726 88173\n86862 100000\n50009 75111\n61314 92007\n86991 100000\n62479 93754\n70447 100000\n90743 100000\n45426 68208\n92157 100000\n75267 100000\n53086 79674\n86837 100000\n25672 38437\n78629 100000\n48164 72346\n27734 41554\n45827 68812\n59007 88586\n29211 43783\n52711 79131\n24289 36351\n30220 45303\n1439 2144\n91001 100000\n39181 58844\n63265 94907\n10540 15703\n10250 15281\n79259 100000\n9957 14849\n15818 23637\n13418 20057\n76814 100000\n54707 82116\n79091 100000\n9111 13583\n26041 38979\n78054 100000\n42552 63914\n13537 20226\n7403 11049\n66918 100000\n21010 31461\n89005 100000\n24393 36504\n97967 100000\n29399 44058\n27601 41353\n23245 34787\n10342 15419\n23360 34961\n13173 19690\n42016 63100\n60216 90379\n70038 100000\n40111 60218\n72838 100000\n90623 100000\n81112 100000\n24140 36120\n89306 100000\n50923 76474\n51698 77635\n14326 21403\n9284 13852\n28442 42621\n52380 78635\n12297 18371\n20855 31231\n28609 42880\n56960 85521\n71895 100000\n55873 83894\n16426 24539\n83106 100000\n10257 15291\n94526 100000\n21152 31670\n13772 20576\n49875 74917\n91843 100000\n54547 81880\n10388 15479\n85697 100000\n31415 47115\n98753 100000\n4502 6722\n35781 53705\n17501 26163\n78224 100000\n36716 55104\n92694 100000\n16430 24546\n41965 63030\n75772 100000\n37926 56914\n29448 44127\n25682 38451\n73675 100000\n39159 58809\n15833 23660\n71010 100000\n26815 40153\n88168 100000\n37763 56668\n44391 66667\n81801 100000\n74924 100000\n36062 54137\n13516 20196\n56747 85196\n9186 13694\n85110 100000\n79339 100000\n72463 100000\n62102 93189\n26981 40408\n65467 98198\n731 1079\n79651 100000\n31266 46883\n24429 36556\n20677 30960\n9240 13781\n76867 100000\n57416 86203\n76685 100000\n4678 6984\n46547 69900\n19675 29447\n52981 79532\n14122 21098\n58468 87771\n21766 32590\n21041 31504\n3012 4482\n23362 34965\n97718 100000\n71035 100000\n6240 9285\n91321 100000\n4111 6135\n8557 12748\n32395 48587\n20830 31193\n95105 100000\n93202 100000\n30892 46327\n98791 100000\n79477 100000\n80846 100000\n13167 19681\n4276 6382\n96725 100000\n84678 100000\n57031 85628\n57442 86234\n8199 12226\n75685 100000\n78712 100000\n54428 81695\n1020 1506\n72579 100000\n67572 100000\n64377 96573\n47586 71482\n87832 100000\n26674 39941\n5446 8126\n18581 27771\n21161 31682\n28411 42570\n37335 56020\n33914 50885\n38048 57099\n25564 38271\n44179 66347\n11050 16493\n69866 100000\n78777 100000\n10798 16111\n25015 37456\n76153 100000\n10341 15417\n96666 100000\n76338 100000\n34525 51803\n89804 100000\n70429 100000\n10730 16004\n767 1132\n44552 66903\n32482 48721\n20259 30330\n10426 15535\n50700 76151\n16061 23991\n3343 4966\n52497 78803\n29601 44359\n61556 92370\n45737 68674\n99037 100000\n62017 93060\n86123 100000\n97189 100000\n44632 67020\n26293 39362\n71615 100000\n79788 100000\n4081 6084\n58343 87584\n54873 82360\n21360 31971\n26920 40317\n55959 84022\n93183 100000\n69681 100000\n35508 53288\n15199 22692\n92958 100000\n56773 85239\n17944 26812\n13028 19470\n16374 24461\n67842 100000\n71089 100000\n51912 77950\n28533 42761\n86797 100000\n2060 3061\n60422 90680\n28685 42988\n48104 72256\n24093 36052\n94148 100000\n34469 51714\n93961 100000\n74593 100000\n3541 5272\n34149 51233\n31886 47806\n98143 100000\n9958 14851\n17322 25878\n5151 7700\n26906 40294\n36398 54628\n27187 40717\n21580 32312\n38335 57552\n98746 100000\n58866 88376\n25075 37541\n35995 54030\n58847 88351\n61663 92528\n21791 32622\n43261 64995\n17360 25938\n31078 46600\n48600 72986\n57140 85790\n78414 100000\n31149 46705\n55434 83217\n3106 4619\n61453 92216\n83328 100000\n54793 82244\n5597 8339\n17625 26343\n35253 52911\n96764 100000\n27728 41544\n24784 37096\n63341 95021\n51124 76778\n4900 7321\n50953 76521\n78494 100000\n14108 21078\n53639 80504\n92932 100000\n37332 56017\n39387 59152\n11378 16986\n39691 59607\n64854 97292\n28495 42708\n53017 79582\n32123 48171\n57995 87064\n83846 100000\n26941 40348\n173 247\n81544 100000\n69738 100000\n70978 100000\n73333 100000\n92365 100000\n52995 79553\n13701 20475\n98790 100000\n52761 79204\n50346 75613\n59906 89917\n48137 72306\n47180 70859\n29170 43718\n13135 19633\n79706 100000\n49636 74554\n75091 100000\n71359 100000\n45971 69023\n97469 100000\n9036 13469\n3934 5868\n56580 84944\n20566 30794\n17430 26051\n77296 100000\n35110 52693\n39676 59586\n87374 100000\n22906 34273\n10394 15490\n50788 76282\n3379 5022\n92061 100000\n96217 100000\n72740 100000\n92115 100000\n10637 15849\n18128 27096\n74805 100000\n83622 100000\n62426 93674\n89732 100000\n66833 100000\n28961 43406\n28699 43006\n97950 100000\n83222 100000\n56812 85297\n47880 71925\n57629 86516\n75520 100000\n31737 47590\n80554 100000\n73104 100000\n10410 15511\n57848 86842\n92698 100000\n4665 6964\n75854 100000\n17756 26524\n31428 47133\n56067 84182\n19288 28854\n83378 100000\n38654 58040\n22048 33013\n32815 49222\n95113 100000\n96323 100000\n27359 40978\n57701 86622\n9707 14465\n60621 90980\n38703 58116\n33615 50441\n43503 65344\n60548 90867\n22619 33860\n7371 10999\n35842 53800\n28681 42982\n42905 64446\n80847 100000\n78770 100000\n50080 75221\n258 372\n74310 100000\n11049 16491\n16362 24440\n48757 73230\n47489 71334\n1309 1951\n50800 76301\n73206 100000\n74448 100000\n42421 63731\n34970 52476\n49837 74858\n5402 8065\n7965 11871\n76478 100000\n56408 84693\n49765 74748\n63700 95558\n97066 100000\n35256 52916\n55294 83001\n80814 100000\n76837 100000\n7144 10650\n75355 100000\n30056 45046\n67054 100000\n99884 100000\n34361 51544\n75090 100000\n59608 89476\n76871 100000\n5144 7692\n33580 50386\n59850 89831\n97228 100000\n7531 11236\n41651 62558\n55740 83693\n47719 71689\n65221 97833\n45078 67687\n16898 25243\n73479 100000\n80871 100000\n63172 94770\n22292 33383\n52149 78296\n22253 33324\n80988 100000\n11504 17175\n56758 85215\n29167 43713\n32550 48818\n25651 38402\n30883 46313\n31755 47616\n63722 95589\n82428 100000\n57040 85643\n36299 54485\n68491 100000\n15318 22873\n30587 45866\n29290 43896\n22541 33746\n54292 81494\n32860 49298\n14916 22261\n47765 71760\n10835 16164\n33386 50098\n85610 100000\n45472 68270\n17687 26431\n54137 81269\n3209 4772\n46751 70205\n94536 100000\n38084 57155\n4546 6795\n79494 100000\n83442 100000\n46946 70497\n65803 98691\n96987 100000\n47589 71488\n85807 100000\n5767 8590\n85501 100000\n39238 58920\n28577 42825\n70411 100000\n81588 100000\n44593 66958\n60583 90922\n7925 11811\n96956 100000\n27436 41095\n50385 75668\n35270 52934\n88676 100000\n48221 72433\n79505 100000\n29817 44686\n39921 59946\n91868 100000\n6041 8991\n84118 100000\n47532 71399\n20001 29939\n34648 51991\n17275 25813\n10393 15488\n14578 21768\n36038 54097\n45375 68127\n420 614\n72884 100000\n78641 100000\n59880 89877\n10294 15346\n69767 100000\n19681 29458\n93931 100000\n72424 100000\n57826 86809\n72516 100000\n44397 66675\n98921 100000\n87019 100000\n50481 75821\n56550 84903\n44334 66578\n35311 52993\n1210 1803\n40845 61339\n6631 9870\n7664 11432\n31746 47602\n56241 84431\n18561 27741\n71297 100000\n40733 61173\n90552 100000\n79375 100000\n94708 100000\n29487 44187\n82873 100000\n40081 60180\n6615 9849\n84392 100000\n68222 100000\n2348 3491\n29313 43934\n59270 88973\n57679 86588\n94332 100000\n69319 100000\n52968 79513\n2289 3408\n14676 21919\n69573 100000\n86418 100000\n79862 100000\n69536 100000\n5848 8713\n4500 6718\n68839 100000\n12998 19426\n6981 10397\n61860 92825\n23971 35878\n51191 76881\n11725 17504\n92578 100000\n29103 43615\n3511 5226\n79038 100000\n91152 100000\n31610 47404\n15178 22663\n2875 4284\n97974 100000\n76581 100000\n56714 85152\n98736 100000\n62185 93316\n12955 19360\n13912 20785\n47564 71448\n64142 96220\n33009 49523\n61840 92789\n91330 100000\n4690 7001\n83476 100000\n73581 100000\n37444 56196\n86731 100000\n61190 91826\n87805 100000\n28925 43352\n48941 73512\n76162 100000\n74952 100000\n42120 63255\n87784 100000\n89645 100000\n41967 63032\n76072 100000\n16012 23923\n79286 100000\n87092 100000\n67413 100000\n38646 58027\n15106 22551\n43799 65777\n71941 100000\n23033 34464\n88666 100000\n40165 60300\n40149 60277\n91851 100000\n60072 90167\n13895 20764\n31153 46711\n6218 9252\n6961 10367\n96664 100000\n25854 38702\n82568 100000\n12757 19079\n31736 47589\n51306 77056\n26712 39996\n93521 100000\n6235 9278\n51708 77650\n91676 100000\n86130 100000\n13214 19752\n75356 100000\n77326 100000\n93023 100000\n94398 100000\n46384 69649\n61666 92534\n11313 16885\n58373 87629\n77497 100000\n11515 17192\n51319 77076\n46327 69568\n53573 80405\n38630 58003\n60860 91343\n56076 84195\n8126 12114\n83344 100000\n5855 8722\n54925 82440\n31733 47585\n3726 5559\n6823 10156\n65169 97758\n52395 78656\n34204 51319\n68108 100000\n55180 82818\n23301 34867\n10082 15036\n8891 13249\n28818 43189\n89069 100000\n49674 74612\n75612 100000\n96303 100000\n38040 57088\n13757 20556\n43882 65903\n5640 8407\n18941 28321\n17848 26659\n8435 12569\n75768 100000\n3856 5755\n51816 77814\n38114 57202\n28530 42757\n19427 29062\n67843 100000\n81515 100000\n6976 10390\n92880 100000\n88795 100000\n5534 8250\n35723 53617\n7812 11647\n27765 41600\n61018 91572\n34710 52090\n28845 43234\n62578 93903\n50577 75972\n19431 29068\n51204 76901\n90478 100000\n33542 50329\n49990 75081\n67903 100000\n9493 14150\n26334 39429\n4597 6868\n14083 21039\n45214 67890\n53572 80403\n56840 85345\n15565 23249\n39993 60052\n80530 100000\n99132 100000\n33750 50643\n43552 65413\n50928 76482\n10401 15499\n8134 12126\n92719 100000\n38625 57994\n94943 100000\n36101 54196\n99044 100000\n98944 100000\n8137 12132\n24553 36744\n83163 100000\n19484 29152\n34140 51219\n72697 100000\n89164 100000\n65226 97841\n78765 100000\n67564 100000\n72535 100000\n79200 100000\n75920 100000\n5884 8765\n10886 16241\n23257 34805\n87887 100000\n53676 80560\n15588 23289\n378 553\n7871 11730\n22850 34192\n62750 94163\n79114 100000\n93350 100000\n49679 74619\n44437 66739\n9992 14900\n22168 33196\n7913 11792\n27243 40803\n43422 65236\n82871 100000\n89062 100000\n47596 71501\n61471 92247\n25481 38148\n1409 2101\n41721 62662\n64410 96618\n24419 36541\n45565 68407\n27262 40831\n93420 100000\n91499 100000\n11560 17260\n14178 21186\n20812 31169\n52337 78574\n84248 100000\n32533 48793\n76145 100000\n6286 9354\n69941 100000\n13392 20018\n47655 71590\n88711 100000\n23355 34953\n54130 81261\n85949 100000\n9560 14241\n38614 57976\n62607 93949\n78318 100000\n67047 100000\n13653 20402\n79163 100000\n46445 69743\n34170 51266\n86949 100000\n64480 96731\n53752 80676\n31800 47677\n19820 29669\n39573 59434\n61709 92595\n57930 86966\n57356 86115\n62329 93536\n12077 18041\n67282 100000\n80940 100000\n46191 69354\n57381 86153\n46976 70542\n12994 19420\n88215 100000\n44752 67203\n69354 100000\n99862 100000\n31058 46567\n91568 100000\n22940 34326\n38848 58344\n55889 83915\n48156 72333\n10226 15243\n7806 11638\n74079 100000\n29261 43852\n16460 24587\n25507 38186\n99768 100000\n2674 3980\n18511 27669\n74223 100000\n3289 4887\n26065 39016\n71316 100000\n40583 60942\n87915 100000\n35803 53740\n20011 29957\n59569 89420\n97559 100000\n30107 45125\n49730 74699\n33186 49792\n94573 100000\n48741 73205\n38481 57772\n60442 90711\n6376 9488\n4623 6905\n18598 27798\n87988 100000\n10568 15745\n59016 88596\n91685 100000\n31311 46954\n63348 95033\n37256 55914\n29694 44506\n44273 66487\n89214 100000\n75822 100000\n85968 100000\n17594 26296\n142 199\n27216 40760\n55396 83160\n30304 45435\n2971 4421\n38082 57152\n99681 100000\n9981 14883\n611 893\n18283 27331\n89542 100000\n55618 83507\n16081 24022\n52256 78456\n43399 65202\n53986 81036\n82369 100000\n82144 100000\n16321 24377\n96264 100000\n89526 100000\n91962 100000\n78792 100000\n36985 55506\n98634 100000\n80595 100000\n12002 17927\n81838 100000\n29501 44204\n82312 100000\n65420 98132\n85068 100000\n69704 100000\n74268 100000\n38022 57062\n20640 30909\n98764 100000\n36570 54878\n6746 10040\n50123 75283\n58342 87583\n391 572\n77836 100000\n4066 6063\n73594 100000\n7042 10491\n77701 100000\n29659 44451\n64588 96900\n45440 68226\n90471 100000\n59262 88961\n3742 5583\n99082 100000\n76594 100000\n92776 100000\n73196 100000\n14857 22175\n35362 53065\n21811 32655\n70922 100000\n28397 42547\n40211 60371\n17310 25861\n42411 63715\n1603 2397\n2557 3805\n81329 100000\n65189 97787\n74378 100000\n92187 100000\n92703 100000\n76514 100000\n84661 100000\n47046 70652\n64741 97125\n99769 100000\n87347 100000\n81532 100000\n4807 7177\n70358 100000\n24080 36032\n78743 100000\n36780 55201\n81358 100000\n78673 100000\n29264 43857\n40666 61071\n45874 68876\n11518 17197\n25493 38164\n83160 100000\n87792 100000\n34922 52401\n73091 100000\n31652 47471\n44986 67545\n88385 100000\n10113 15082\n94064 100000\n90876 100000\n57307 86045\n77996 100000\n65776 98651\n79528 100000\n33934 50915\n78901 100000\n27887 41782\n74762 100000\n61685 92562\n90595 100000\n41190 61865\n40073 60169\n57992 87060\n94842 100000\n3741 5582\n76704 100000\n73680 100000\n67188 100000\n48484 72815\n22354 33477\n25980 38885\n10431 15542\n96023 100000\n81977 100000\n60218 90381\n91964 100000\n38092 57168\n96259 100000\n96103 100000\n43602 65489\n29583 44329\n73470 100000\n88109 100000\n8857 13200\n30272 45383\n61508 92302\n67330 100000\n61129 91742\n35998 54035\n77368 100000\n76435 100000\n62009 93046\n18771 28060\n46078 69182\n98031 100000\n44581 66941\n84172 100000\n37139 55736\n78140 100000\n23148 34637\n81408 100000\n50418 75722\n58130 87266\n30620 45920\n60693 91082\n18059 26983\n56268 84475\n18360 27444\n77470 100000\n31699 47536\n80235 100000\n65628 98431\n67183 100000\n6394 9517\n43458 65287\n68393 100000\n57219 85912\n84932 100000\n26001 38922\n47079 70703\n4410 6586\n14723 21981\n43033 64642\n998 1473\n24807 37132\n4636 6921\n2543 3785\n34967 52471\n38053 57105\n20141 30152\n9022 13449\n25813 38640\n5324 7953\n56992 85572\n51923 77967\n52824 79293\n28168 42198\n5951 8864\n49295 74040\n74933 100000\n81664 100000\n93739 100000\n53457 80236\n91338 100000\n73546 100000\n57926 86960\n1537 2296\n43246 64971\n31474 47198\n94006 100000\n91353 100000\n68620 100000\n88929 100000\n9461 14105\n3490 5191\n23026 34451\n25655 38410\n70733 100000\n40799 61269\n45742 68682\n91912 100000\n82234 100000\n46997 70577\n58164 87315\n12128 18122\n42517 63864\n63732 95607\n15685 23439\n33824 50753\n15654 23392\n17236 25755\n77914 100000\n15575 23269\n79068 100000\n136 191\n52898 79404\n87059 100000\n38615 57978\n63985 95990\n15355 22925\n55767 83731\n91751 100000\n31630 47438\n46812 70300\n23710 35483\n78897 100000\n46045 69130\n3349 4975\n65681 98507\n33770 50677\n82630 100000\n52901 79409\n70253 100000\n93870 100000\n46724 70168\n25815 38644\n70117 100000\n20766 31100\n56993 85573\n28145 42159\n49136 73803\n85707 100000\n66713 100000\n31453 47170\n4793 7156\n15215 22716\n65655 98466\n23615 35336\n59988 90043\n1292 1923\n2164 3225\n52520 78839\n96808 100000\n58640 88041\n36829 55277\n85568 100000\n46075 69177\n15829 23655\n3201 4762\n40066 60159\n81251 100000\n15300 22849\n1277 1897\n93146 100000\n87901 100000\n17004 25403\n21832 32688\n22696 33972\n49471 74306\n87495 100000\n12583 18805\n99397 100000\n17734 26497\n58241 87430\n39344 59084\n38422 57684\n76232 100000\n29619 44386\n8743 13028\n84267 100000\n91515 100000\n98066 100000\n16282 24319\n20379 30520\n26284 39348\n77945 100000\n32993 49497\n84238 100000\n86127 100000\n6112 9090\n64195 96299\n30947 46413\n44740 67186\n33351 50045\n37785 56701\n65686 98514\n18746 28021\n29784 44639\n18753 28034\n21877 32757\n21331 31931\n84506 100000\n69776 100000\n70514 100000\n57958 87005\n96407 100000\n62844 94300\n67557 100000\n15458 23082\n80380 100000\n17008 25410\n57010 85598\n51928 77972\n76983 100000\n82074 100000\n98213 100000\n5357 8000\n46936 70481\n12977 19393\n99325 100000\n1286 1912\n7351 10970\n59529 89360\n9121 13597\n53161 79787\n66763 100000\n71140 100000\n68121 100000\n12245 18295\n40894 61413\n52594 78948\n69154 100000\n75660 100000\n88545 100000\n39191 58858\n61486 92266\n25163 37670\n30324 45470\n15491 23130\n88803 100000\n90079 100000\n3573 5319\n96172 100000\n7510 11205\n40488 60795\n27191 40723\n78214 100000\n81415 100000\n55953 84011\n13969 20871\n38962 58512\n71175 100000\n94753 100000\n11290 16852\n49871 74910\n74544 100000\n33618 50446\n7569 11298\n86517 100000\n8772 13068\n84943 100000\n50366 75641\n98758 100000\n66115 99152\n42929 64482\n46514 69846\n89520 100000\n44871 67376\n72563 100000\n12709 19000\n60595 90940\n78540 100000\n38219 57369\n80825 100000\n4393 6559\n81527 100000\n22150 33170\n81535 100000\n2962 4407\n5220 7803\n87097 100000\n24461 36607\n29551 44279\n33728 50609\n81271 100000\n92925 100000\n12936 19328\n5949 8860\n81957 100000\n89844 100000\n76270 100000\n43530 65382\n44317 66552\n61058 91636\n32259 48372\n8370 12475\n38823 58303\n62989 94508\n7406 11054\n34087 51140\n19596 29325\n92900 100000\n78723 100000\n51854 77869\n569 836\n52180 78346\n84828 100000\n98245 100000\n32363 48532\n85461 100000\n79716 100000\n25114 37597\n95465 100000\n71060 100000\n19175 28678\n28668 42965\n925 1365\n32113 48156\n75386 100000\n67227 100000\n57017 85609\n83136 100000\n65882 98812\n9291 13860\n23451 35105\n8452 12594\n96122 100000\n46650 70049\n86987 100000\n78495 100000\n44207 66388\n69650 100000\n95174 100000\n32301 48438\n14109 21080\n4171 6228\n66261 99374\n40421 60690\n72803 100000\n9431 14066\n76972 100000\n24530 36710\n21719 32521\n37267 55930\n70267 100000\n1149 1707\n84753 100000\n55743 83696\n34138 51215\n85778 100000\n31716 47559\n89189 100000\n65496 98246\n44191 66367\n66654 99961\n41570 62439\n71179 100000\n71225 100000\n56994 85575\n98330 100000\n63247 94880\n37913 56891\n99875 100000\n16042 23963\n33569 50369\n23511 35189\n14183 21193\n58106 87231\n64249 96383\n91657 100000\n22114 33116\n68919 100000\n21050 31518\n39056 58656\n90194 100000\n67437 100000\n99319 100000\n29279 43877\n83320 100000\n4726 7054\n3679 5484\n10116 15086\n17007 25409\n78749 100000\n15879 23725\n1820 2707\n91603 100000\n58167 87319\n80378 100000\n39526 59365\n74029 100000\n37424 56166\n24629 36860\n73590 100000\n63230 94856\n71918 100000\n22770 34079\n59695 89605\n50965 76542\n44696 67116\n99946 100000\n67988 100000\n82013 100000\n88893 100000\n41917 62956\n76734 100000\n84900 100000\n20161 30179\n94254 100000\n35920 53914\n41400 62184\n63210 94827\n99649 100000\n2555 3803\n3294 4894\n92672 100000\n82977 100000\n70888 100000\n69174 100000\n41821 62814\n93076 100000\n60474 90758\n7449 11114\n95247 100000\n89579 100000\n79790 100000\n7225 10772\n82846 100000\n59673 89572\n32964 49454\n3390 5039\n37687 56560\n19461 29117\n32581 48867\n96640 100000\n67743 100000\n93737 100000\n87974 100000\n13379 20000\n25710 38493\n87663 100000\n95709 100000\n47763 71757\n58838 88336\n3184 4738\n3775 5631\n49743 74719\n86778 100000\n39664 59568\n28017 41973\n46787 70260\n94817 100000\n9995 14904\n96037 100000\n87735 100000\n64498 96759\n76613 100000\n35797 53731\n53250 79928\n39298 59012\n70166 100000\n18982 28387\n83981 100000\n86907 100000\n21088 31573\n68302 100000\n98946 100000\n26791 40120\n23104 34568\n95688 100000\n18472 27609\n48772 73249\n47676 71625\n26865 40231\n65516 98275\n43266 65003\n87765 100000\n44312 66544\n17878 26708\n28915 43335\n86447 100000\n61763 92676\n39141 58783\n30115 45137\n92351 100000\n9215 13738\n79785 100000\n45868 68866\n72751 100000\n61264 91927\n19193 28705\n13929 20809\n80777 100000\n88355 100000\n35406 53133\n22731 34026\n52454 78741\n35825 53773\n36489 54761\n94673 100000\n25943 38827\n67509 100000\n330 483\n5248 7839\n19795 29632\n59481 89291\n84092 100000\n88429 100000\n72571 100000\n50686 76130\n21537 32247\n20149 30163\n15823 23646\n76265 100000\n25592 38315\n2843 4236\n24711 36992\n78444 100000\n92442 100000\n65478 98216\n88340 100000\n10617 15822\n84917 100000\n21550 32266\n79644 100000\n96279 100000\n50243 75449\n3567 5310\n41914 62952\n64896 97355\n88889 100000\n11922 17806\n22974 34376\n44196 66375\n63953 95943\n66124 99163\n61066 91648\n84585 100000\n23755 35551\n95304 100000\n82971 100000\n33699 50567\n54164 81307\n62840 94293\n50267 75486\n63602 95410\n65320 97983\n31547 47312\n38755 58193\n45559 68396\n84432 100000\n91519 100000\n62087 93164\n18336 27408\n40266 60455\n29765 44610\n28353 42480\n55934 83985\n72903 100000\n64119 96189\n62229 93385\n50897 76438\n73992 100000\n65620 98422\n35841 53798\n10392 15486\n73951 100000\n65463 98193\n60145 90274\n64487 96743\n91682 100000\n22843 34183\n86679 100000\n80086 100000\n55881 83904\n56506 84835\n40254 60438\n19503 29181\n33063 49606\n95837 100000\n30134 45167\n8213 12247\n44024 66120\n54308 81518\n62688 94073\n26339 39438\n93325 100000\n80508 100000\n72624 100000\n45536 68359\n56041 84142\n33973 50968\n15972 23861\n37027 55568\n17762 26532\n14256 21301\n30316 45456\n53959 80995\n24326 36405\n24035 35969\n9678 14417\n42768 64239\n88804 100000\n97724 100000\n69943 100000\n73651 100000\n9345 13938\n73614 100000\n60343 90559\n96538 100000\n94770 100000\n42119 63254\n17480 26131\n90962 100000\n84702 100000\n96552 100000\n84359 100000\n36728 55118\n17184 25681\n99774 100000\n25987 38898\n5153 7703\n62034 93088\n17296 25841\n58375 87633\n11758 17556\n28905 43320\n14076 21029\n23200 34715\n25086 37556\n67901 100000\n80579 100000\n58663 88076\n29690 44499\n23836 35675\n52426 78700\n34773 52189\n32943 49424\n14198 21216\n61602 92436\n33627 50462\n76233 100000\n79456 100000\n82347 100000\n63346 95029\n82039 100000\n22822 34154\n28282 42372\n25650 38400\n33389 50101\n31389 47071\n68507 100000\n83566 100000\n60666 91043\n94460 100000\n28446 42627\n15238 22753\n53528 80340\n69452 100000\n2785 4150\n40020 60091\n25724 38511\n91367 100000\n34709 52088\n18121 27085\n13695 20465\n52538 78864\n50846 76367\n83087 100000\n42801 64285\n71906 100000\n68909 100000\n45269 67974\n88211 100000\n30908 46351\n35469 53229\n8794 13102\n76037 100000\n84066 100000\n48924 73484\n25718 38504\n72800 100000\n7557 11277\n17683 26424\n56281 84497\n47253 70973\n76529 100000\n6038 8987\n54184 81334\n49464 74297\n86008 100000\n7606 11349\n79977 100000\n8283 12344\n76816 100000\n84779 100000\n4177 6237\n94242 100000\n73945 100000\n8091 12064\n2985 4442\n97258 100000\n46486 69805\n90681 100000\n49948 75015\n47355 71129\n69864 100000\n65083 97634\n32646 48963\n70959 100000\n805 1189\n5516 8225\n74686 100000\n98342 100000\n6741 10032\n15597 23303\n27353 40971\n37606 56440\n32396 48588\n7471 11149\n96213 100000\n68583 100000\n40369 60610\n88411 100000\n18652 27877\n37603 56434\n47588 71486\n51611 77511\n6057 9013\n76680 100000\n29333 43961\n30075 45075\n24058 36001\n73601 100000\n47840 71865\n38100 57179\n83884 100000\n43521 65368\n16201 24199\n85329 100000\n24054 35997\n12569 18782\n90428 100000\n45985 69045\n77801 100000\n48513 72859\n43659 65575\n64292 96446\n97181 100000\n55660 83570\n91827 100000\n4655 6950\n36278 54455\n47302 71044\n13306 19891\n77431 100000\n13068 19529\n32172 48248\n60182 90330\n71548 100000\n45797 68765\n53966 81005\n60722 91130\n16383 24474\n45411 68184\n57627 86513\n91731 100000\n75305 100000\n83598 100000\n69561 100000\n93384 100000\n24617 36842\n39886 59894\n68494 100000\n78769 100000\n87881 100000\n57849 86843\n66545 99794\n98527 100000\n6082 9049\n65842 98750\n86710 100000\n78609 100000\n146 204\n48514 72860\n22754 34062\n36676 55043\n71766 100000\n26279 39342\n86643 100000\n6725 10005\n8949 13340\n97625 100000\n46254 69453\n76366 100000\n57758 86702\n97331 100000\n64250 96384\n3508 5220\n55280 82980\n47712 71677\n61068 91651\n54478 81771\n68832 100000\n73880 100000\n49912 74964\n12712 19005\n17042 25456\n92447 100000\n1624 2426\n19478 29143\n56746 85194\n78012 100000\n75542 100000\n57437 86229\n9140 13626\n78997 100000\n76041 100000\n14527 21695\n55473 83277\n32203 48291\n94180 100000\n42125 63264\n89886 100000\n45279 67987\n59075 88684\n30498 45735\n91048 100000\n72521 100000\n12156 18166\n36053 54121\n32541 48806\n3695 5509\n76235 100000\n83591 100000\n75242 100000\n28115 42117\n14853 22168\n4220 6299\n48475 72799\n66474 99690\n33183 49787\n63354 95042\n18048 26967\n31460 47179\n11242 16775\n97094 100000\n48127 72295\n72548 100000\n96001 100000\n11528 17214\n63620 95437\n43151 64827\n73882 100000\n51609 77507\n73631 100000\n62111 93203\n49503 74356\n7472 11150\n78661 100000\n89084 100000\n45702 68625\n37173 55785\n43809 65793\n12270 18328\n50716 76174\n37504 56287\n83073 100000\n96211 100000\n6174 9188\n72588 100000\n80731 100000\n48232 72450\n63877 95831\n35475 53237\n32846 49273\n98876 100000\n6722 9999\n540 799\n84469 100000\n24722 37007\n4525 6763\n21286 31870\n77815 100000\n445 649\n61110 91710\n306 446\n57084 85704\n69019 100000\n84440 100000\n65352 98030\n44256 66463\n55 79\n58409 87687\n98851 100000\n85310 100000\n27632 41399\n78805 100000\n44882 67392\n59323 89050\n85898 100000\n97587 100000\n67839 100000\n60887 91384\n95078 100000\n29535 44256\n83040 100000\n22686 33958\n18421 27535\n60663 91039\n54781 82227\n12901 19278\n82664 100000\n69479 100000\n31499 47235\n59516 89342\n50186 75372\n19148 28638\n35861 53827\n68355 100000\n72880 100000\n63809 95729\n55569 83428\n47802 71809\n54285 81483\n91304 100000\n82304 100000\n16332 24395\n58702 88134\n95478 100000\n56296 84520\n77626 100000\n80827 100000\n15866 23707\n75086 100000\n8561 12754\n404 591\n96539 100000\n60541 90857\n51086 76721\n15534 23201\n46610 69994\n5381 8034\n39068 58674\n82126 100000\n30706 46048\n26836 40187\n54121 81247\n72101 100000\n92787 100000\n47503 71357\n65055 97595\n61953 92964\n63983 95988\n80005 100000\n32714 49067\n10501 15645\n59870 89860\n48390 72671\n75424 100000\n41706 62640\n38637 58013\n98911 100000\n58885 88405\n71693 100000\n18184 27182\n58809 88293\n30276 45390\n6503 9687\n39462 59269\n89298 100000\n53436 80206\n11317 16891\n39848 59841\n88812 100000\n11041 16479\n16980 25362\n59799 89757\n16873 25208\n10647 15864\n72816 100000\n53863 80852\n78696 100000\n94051 100000\n70290 100000\n25616 38349\n96864 100000\n65010 97526\n40014 60083\n20124 30125\n8395 12512\n15296 22842\n27529 41245\n35179 52797\n79437 100000\n92537 100000\n79913 100000\n92269 100000\n67031 100000\n61179 91812\n74482 100000\n17964 26844\n86279 100000\n23214 34740\n60799 91250\n47116 70761\n9980 14882\n20147 30160\n79320 100000\n76838 100000\n77412 100000\n85921 100000\n36981 55500\n58355 87602\n61660 92523\n48597 72981\n88986 100000\n62595 93929\n42599 63989\n78893 100000\n46806 70289\n63936 95919\n20358 30490\n74989 100000\n52531 78857\n59816 89782\n3587 5340\n35835 53789\n51768 77738\n52820 79287\n24978 37399\n24304 36374\n25468 38130\n81602 100000\n29456 44140\n59689 89594\n97000 100000\n33628 50464\n65065 97610\n99484 100000\n11720 17497\n4508 6733\n54376 81617\n29113 43631\n28814 43184\n86523 100000\n5706 8508\n51433 77248\n28885 43292\n68118 100000\n26518 39703\n15822 23644\n31361 47027\n13087 19564\n98125 100000\n36870 55336\n58171 87325\n53836 80810\n46743 70193\n35296 52970\n64826 97251\n89272 100000\n59830 89802\n87739 100000\n33181 49785\n68376 100000\n24347 36436\n1734 2584\n43389 65186\n30576 45850\n18330 27399\n99623 100000\n73002 100000\n12483 18650\n7169 10685\n73692 100000\n93532 100000\n51107 76753\n8162 12171\n43963 66029\n90179 100000\n34351 51527\n91418 100000\n22220 33273\n6619 9854\n26751 40056\n18234 27257\n23430 35071\n56883 85411\n15420 23024\n37821 56756\n20022 29972\n64385 96584\n32426 48632\n58952 88507\n3355 4984\n94527 100000\n27296 40884\n11327 16906\n89781 100000\n25179 37697\n41488 62308\n25042 37488\n29414 44078\n72274 100000\n51071 76696\n41537 62392\n94745 100000\n50569 75960\n89487 100000\n5560 8287\n95618 100000\n12216 18254\n76224 100000\n62863 94330\n85239 100000\n56072 84190\n64306 96465\n3168 4714\n84312 100000\n85130 100000\n9837 14661\n96076 100000\n6577 9795\n39478 59297\n4116 6142\n18633 27843\n49721 74685\n69554 100000\n17533 26205\n26567 39779\n13232 19778\n89858 100000\n43548 65408\n77290 100000\n56691 85120\n60900 91404\n62912 94401\n50429 75741\n62126 93227\n99364 100000\n37281 55947\n24543 36729\n52315 78540\n79944 100000\n13464 20123\n18039 26954\n36636 54980\n44633 67022\n24716 36999\n6610 9841\n28216 42276\n8652 12893\n36137 54250\n65391 98088\n93432 100000\n23109 34577\n24638 36874\n37670 56531\n68377 100000\n68568 100000\n4982 7444\n96752 100000\n58609 87991\n98441 100000\n67577 100000\n68445 100000\n99030 100000\n94443 100000\n6719 9994\n89524 100000\n12499 18676\n52328 78561\n78971 100000\n89327 100000\n59242 88931\n79752 100000\n45600 68465\n63276 94923\n8225 12261\n14393 21499\n39551 59401\n95698 100000\n71622 100000\n19606 29340\n90860 100000\n68223 100000\n43255 64987\n59178 88835\n84575 100000\n19187 28697\n82892 100000\n82502 100000\n536 794\n49209 73911\n69723 100000\n9513 14179\n37574 56392\n21451 32117\n23925 35801\n27024 40476\n83575 100000\n55142 82764\n11789 17607\n77549 100000\n9239 13779\n8326 12407\n84222 100000\n36356 54572\n51380 77170\n32902 49363\n82936 100000\n90785 100000\n9561 14242\n69096 100000\n49070 73707\n98026 100000\n57185 85863\n10191 15192\n74564 100000\n55402 83171\n28257 42335\n19362 28965\n26667 39930\n48630 73032\n32186 48267\n93551 100000\n45343 68082\n99256 100000\n22000 32940\n12342 18441\n21666 32442\n72153 100000\n19163 28661\n71976 100000\n13524 20210\n6649 9895\n44687 67103\n68694 100000\n35547 53345\n30509 45751\n40345 60570\n57286 86009\n29565 44302\n56968 85532\n39450 59252\n83809 100000\n99972 100000\n5970 8893\n70066 100000\n57730 86661\n84817 100000\n47567 71452\n26258 39312\n18605 27807\n68914 100000\n53381 80126\n89041 100000\n4999 7471\n5348 7988\n583 853\n57592 86464\n16303 24350\n98372 100000\n45673 68582\n45403 68171\n56490 84811\n28284 42375\n39457 59261\n69867 100000\n61927 92927\n29139 43668\n31334 46987\n98415 100000\n9667 14400\n85080 100000\n98188 100000\n29022 43496\n93458 100000\n4706 7026\n76517 100000\n8714 12992\n62334 93544\n2877 4287\n35607 53435\n72297 100000\n424 618\n13776 20583\n99380 100000\n15842 23672\n15194 22685\n65230 97846\n5711 8513\n19660 29426\n31091 46619\n63466 95205\n20428 30594\n86368 100000\n23642 35380\n80185 100000\n87736 100000\n30991 46475\n42078 63188\n75119 100000\n99506 100000\n95405 100000\n34676 52037\n94151 100000\n32848 49276\n2676 3984\n55336 83068\n84635 100000\n24169 36167\n77689 100000\n88781 100000\n11924 17810\n84399 100000\n7655 11420\n67942 100000\n53171 79799\n74418 100000\n91994 100000\n75579 100000\n68356 100000\n16958 25330\n16516 24673\n29412 44075\n17271 25806\n33593 50407\n9626 14339\n88087 100000\n75107 100000\n17809 26604\n97636 100000\n62032 93084\n23063 34503\n8920 13295\n57252 85961\n96727 100000\n89136 100000\n97524 100000\n28424 42592\n25554 38255\n6232 9273\n81222 100000\n23414 35045\n21895 32783\n47919 71980\n45926 68956\n18124 27091\n93987 100000\n98277 100000\n37829 56766\n97714 100000\n40927 61458\n22557 33769\n10031 14961\n31508 47248\n6567 9781\n29566 44303\n40695 61117\n58716 88158\n91253 100000\n3577 5325\n82899 100000\n61237 91891\n43208 64916\n60246 90421\n31419 47119\n85093 100000\n14210 21234\n60331 90542\n95041 100000\n18098 27046\n85908 100000\n13147 19651\n3476 5170\n268 389\n36674 55040\n63804 95721\n54817 82281\n86012 100000\n68740 100000\n16329 24390\n97759 100000\n89951 100000\n4356 6503\n85298 100000\n3705 5524\n35219 52858\n46765 70227\n77087 100000\n25833 38671\n8586 12793\n25047 37497\n76690 100000\n30244 45339\n66831 100000\n51364 77143\n60949 91472\n1110 1644\n18705 27955\n95207 100000\n70410 100000\n78843 100000\n48266 72503\n12513 18698\n95477 100000\n44756 67208\n6207 9237\n63438 95158\n33790 50706\n91865 100000\n15125 22581\n3534 5260\n43830 65825\n31644 47459\n2272 3384\n9480 14129\n80437 100000\n48982 73575\n93126 100000\n4713 7034\n58219 87398\n71988 100000\n54203 81362\n7687 11468\n792 1168\n48064 72195\n56179 84340\n75830 100000\n71912 100000\n96871 100000\n20803 31157\n17299 25847\n74479 100000\n51852 77866\n60524 90830\n91143 100000\n36189 54329\n67827 100000\n15359 22931\n55284 82986\n72392 100000\n66641 99940\n2218 3300\n65377 98067\n14673 21913\n16312 24363\n8903 13272\n47129 70781\n51591 77478\n38968 58524\n30791 46177\n67172 100000\n59912 89927\n67955 100000\n87350 100000\n68962 100000\n85159 100000\n83159 100000\n26590 39814\n82869 100000\n75494 100000\n2974 4425\n43332 65101\n42938 64496\n7994 11920\n34682 52046\n67636 100000\n39235 58916\n67585 100000\n74583 100000\n44266 66477\n39912 59931\n69835 100000\n23186 34694\n43214 64923\n2429 3612\n38179 57302\n78817 100000\n81765 100000\n15118 22571\n35183 52804\n56898 85436\n49305 74055\n3358 4989\n34925 52405\n9527 14200\n73484 100000\n65885 98816\n32506 48757\n91470 100000\n75112 100000\n43757 65717\n62511 93802\n850 1253\n32597 48891\n64041 96074\n57620 86504\n51766 77734\n19873 29744\n49129 73794\n57966 87017\n89514 100000\n79859 100000\n59834 89808\n35062 52616\n78972 100000\n84701 100000\n29404 44063\n4619 6899\n79933 100000\n75061 100000\n66459 99666\n40456 60744\n90983 100000\n14879 22208\n29629 44402\n76052 100000\n24006 35927\n7561 11284\n25810 38637\n90885 100000\n67328 100000\n58010 87086\n58525 87861\n47736 71715\n54223 81390\n8438 12574\n44268 66480\n43518 65364\n49852 74883\n97313 100000\n69325 100000\n81906 100000\n89947 100000\n1235 1840\n57928 86963\n89891 100000\n70677 100000\n79229 100000\n44930 67460\n85704 100000\n6147 9148\n15791 23595\n495 732\n82581 100000\n40202 60357\n84313 100000\n44674 67082\n106 145\n54007 81065\n16304 24351\n38473 57758\n87840 100000\n82426 100000\n91749 100000\n46715 70155\n95470 100000\n30661 45985\n67595 100000\n29954 44889\n66954 100000\n64825 97249\n44190 66365\n45925 68954\n84641 100000\n32740 49106\n51298 77044\n25673 38439\n88648 100000\n80916 100000\n26171 39176\n99819 100000\n44406 66691\n58227 87411\n67173 100000\n97569 100000\n89384 100000\n72025 100000\n27152 40668\n7663 11431\n17240 25760\n58203 87374\n14780 22063\n43338 65111\n39127 58760\n64101 96162\n2662 3966\n18350 27429\n44254 66459\n98853 100000\n14959 22326\n28954 43394\n77341 100000\n41069 61684\n30150 45190\n74437 100000\n29626 44397\n26591 39816\n30893 46328\n3553 5289\n72504 100000\n67927 100000\n55633 83529\n66152 99205\n12474 18639\n42402 63702\n59835 89809\n67103 100000\n88999 100000\n27056 40524\n16959 25331\n6673 9931\n89060 100000\n36155 54277\n76479 100000\n81036 100000\n21776 32603\n66401 99576\n77818 100000\n10739 16016\n42457 63780\n84089 100000\n39165 58817\n61063 91644\n41677 62595\n48529 72881\n21581 32313\n79713 100000\n36406 54642\n428 624\n92287 100000\n16869 25201\n42202 63382\n49652 74576\n46070 69169\n53882 80879\n63565 95354\n1867 2777\n12856 19214\n92316 100000\n88055 100000\n5689 8483\n92160 100000\n12536 18730\n74908 100000\n94989 100000\n86490 100000\n48255 72485\n43663 65580\n52212 78393\n23047 34481\n53485 80276\n72071 100000\n75297 100000\n9889 14744\n71805 100000\n79940 100000\n12442 18590\n25249 37801\n77486 100000\n96071 100000\n9460 14104\n17208 25716\n74333 100000\n5105 7632\n33801 50721\n73404 100000\n57552 86405\n47901 71954\n72906 100000\n34686 52051\n33885 50845\n94274 100000\n26903 40289\n41712 62648\n28335 42456\n9602 14305\n3454 5134\n19084 28535\n35378 53089\n48367 72641\n71048 100000\n91403 100000\n66371 99538\n4468 6669\n69937 100000\n66727 100000\n75312 100000\n37667 56526\n1211 1804\n69368 100000\n16393 24490\n49195 73889\n10630 15839\n24118 36087\n29259 43850\n54202 81361\n94424 100000\n66746 100000\n64699 97064\n62975 94488\n84648 100000\n81943 100000\n17547 26226\n39196 58864\n1997 2964\n92430 100000\n54837 82308\n13989 20902\n30760 46129\n86427 100000\n13678 20439\n70451 100000\n56135 84276\n54934 82454\n32169 48244\n51559 77430\n60129 90252\n4032 6012\n328 480\n18953 28339\n26088 39049\n62026 93074\n30510 45753\n75769 100000\n85839 100000\n65011 97528\n99786 100000\n27129 40633\n75135 100000\n46747 70200\n51426 77237\n65732 98587\n89614 100000\n7762 11571\n11336 16920\n96154 100000\n9320 13903\n57346 86101\n5771 8596\n38757 58196\n43636 65539\n36711 55096\n26275 39336\n23069 34511\n58400 87673\n74457 100000\n79804 100000\n4810 7180\n84579 100000\n99011 100000\n65339 98012\n98450 100000\n34225 51349\n31546 47311\n55921 83965\n70825 100000\n34875 52332\n50208 75402\n98813 100000\n35128 52720\n91830 100000\n33925 50900\n22122 33126\n62019 93064\n27233 40786\n48584 72963\n26260 39315\n82728 100000\n53930 80951\n84091 100000\n88572 100000\n15206 22704\n75560 100000\n93816 100000\n84596 100000\n7779 11597\n91735 100000\n36959 55464\n18858 28193\n65073 97620\n7082 10551\n74487 100000\n46492 69815\n1746 2601\n91245 100000\n92033 100000\n91650 100000\n44193 66370\n78159 100000\n21190 31726\n80750 100000\n31602 47395\n11029 16462\n49952 75020\n40671 61079\n63287 94939\n7936 11827\n18528 27693\n23218 34746\n56862 85378\n27170 40694\n15914 23775\n19690 29471\n87505 100000\n14740 22006\n79579 100000\n83219 100000\n36447 54702\n679 997\n98078 100000\n14403 21513\n76682 100000\n69080 100000\n62751 94165\n22229 33285\n79818 100000\n93424 100000\n58097 87219\n59859 89845\n25111 37593\n29441 44118\n91561 100000\n10984 16393\n60148 90280\n88905 100000\n73683 100000\n40011 60079\n31704 47542\n19847 29706\n47842 71869\n20533 30744\n73496 100000\n80705 100000\n93829 100000\n45210 67885\n85998 100000\n29164 43707\n98774 100000\n19841 29697\n88863 100000\n96054 100000\n46597 69972\n83039 100000\n86807 100000\n40406 60666\n69152 100000\n4487 6697\n90493 100000\n25861 38711\n94638 100000\n1520 2271\n14886 22218\n41931 62977\n62020 93065\n33774 50682\n54797 82252\n35922 53917\n38451 57726\n34239 51366\n60988 91528\n2473 3677\n87116 100000\n97833 100000\n35026 52561\n25562 38267\n60176 90321\n63758 95645\n48928 73491\n94032 100000\n67586 100000\n90076 100000\n11818 17655\n85196 100000\n21285 31869\n82335 100000\n18163 27151\n26608 39840\n86630 100000\n78139 100000\n72814 100000\n12544 18745\n17833 26638\n94544 100000\n89969 100000\n72393 100000\n27501 41199\n34404 51612\n10378 15464\n32125 48174\n63487 95239\n87471 100000\n93109 100000\n39546 59395\n23475 35139\n85003 100000\n49324 74085\n3901 5818\n65712 98556\n36210 54359\n89493 100000\n42843 64349\n97550 100000\n2961 4405\n83089 100000\n3253 4838\n42018 63102\n94160 100000\n59694 89603\n96308 100000\n59137 88774\n39111 58734\n68371 100000\n22504 33695\n13034 19478\n79844 100000\n42741 64194\n89625 100000\n55843 83852\n26238 39278\n6248 9298\n79401 100000\n51991 78066\n99345 100000\n44684 67098\n15633 23360\n7300 10888\n67884 100000\n91480 100000\n77869 100000\n11239 16770\n63347 95031\n99103 100000\n32342 48502\n75860 100000\n80855 100000\n9728 14497\n6044 8996\n11305 16872\n15103 22546\n52273 78480\n1406 2096\n60774 91212\n98158 100000\n17601 26307\n2959 4403\n8269 12323\n86047 100000\n47077 70699\n54092 81199\n27098 40587\n70639 100000\n7661 11429\n31878 47793\n16094 24042\n89318 100000\n54531 81852\n19322 28906\n34046 51085\n22728 34021\n2621 3907\n47716 71683\n90283 100000\n20699 30996\n65859 98776\n70517 100000\n17938 26802\n28021 41978\n21457 32127\n66084 99111\n3675 5477\n16183 24174\n4515 6745\n48219 72430\n91049 100000\n11490 17154\n99547 100000\n2373 3529\n96624 100000\n45325 68057\n2892 4312\n91333 100000\n31915 47852\n46324 69563\n54987 82534\n67821 100000\n29006 43475\n97252 100000\n66197 99276\n12431 18572\n77243 100000\n23837 35677\n69868 100000\n33068 49613\n40824 61306\n89223 100000\n26730 40025\n49183 73873\n83134 100000\n96361 100000\n43783 65752\n93442 100000\n45327 68060\n78007 100000\n19149 28639\n29961 44898\n25621 38355\n63533 95308\n69870 100000\n19619 29359\n28547 42782\n70350 100000\n605 883\n64029 96058\n21903 32796\n12046 17994\n33805 50727\n13922 20800\n14874 22200\n15472 23102\n43423 65237\n79990 100000\n49371 74156\n86056 100000\n32100 48136\n65805 98695\n65798 98682\n90398 100000\n23867 35717\n13253 19811\n9609 14315\n35783 53708\n73346 100000\n49339 74107\n45237 67924\n34543 51829\n65618 98419\n80344 100000\n8300 12367\n46371 69631\n13747 20543\n72897 100000\n60126 90247\n82364 100000\n42785 64266\n88138 100000\n33993 51000\n71288 100000\n51835 77841\n84138 100000\n41387 62162\n93385 100000\n20109 30104\n86634 100000\n84807 100000\n55775 83745\n78541 100000\n26367 39478\n44271 66484\n1686 2513\n37970 56982\n64737 97120\n9319 13901\n11069 16522\n31436 47144\n83471 100000\n61681 92556\n76000 100000\n37666 56524\n63906 95874\n19802 29640\n99052 100000\n564 829\n43305 65061\n2316 3448\n12827 19173\n26409 39543\n55748 83703\n13759 20559\n39200 58870\n57143 85795\n80426 100000\n82160 100000\n47930 71995\n21076 31554\n27754 41585\n60669 91047\n32429 48638\n13508 20186\n16896 25241\n34055 51096\n6925 10315\n43635 65538\n25960 38853\n12515 18701\n1434 2136\n55963 84028\n30536 45791\n74469 100000\n39972 60021\n47899 71950\n40932 61468\n37189 55810\n14851 22164\n1508 2255\n82652 100000\n80627 100000\n82306 100000\n24972 37390\n74129 100000\n33167 49762\n39653 59551\n13361 19971\n14905 22244\n89063 100000\n34859 52311\n52656 79045\n27468 41145\n23668 35418\n89198 100000\n56363 84626\n16155 24132\n89125 100000\n23260 34809\n37732 56625\n57999 87072\n93607 100000\n81383 100000\n15591 23294\n74817 100000\n40218 60383\n75006 100000\n11841 17690\n62573 93895\n27158 40675\n54845 82321\n2340 3479\n77593 100000\n1977 2934\n86608 100000\n55106 82713\n28448 42631\n88654 100000\n12660 18918\n65711 98554\n7951 11851\n54194 81350\n19040 28467\n51647 77561\n44276 66491\n86918 100000\n95179 100000\n66222 99314\n57708 86632\n79199 100000\n14823 22126\n41128 61771\n97743 100000\n99157 100000\n91937 100000\n10258 15292\n84505 100000\n29504 44209\n22948 34336\n53412 80167\n85243 100000\n57108 85745\n92659 100000\n59140 88777\n8187 12208\n68195 100000\n80688 100000\n10695 15941\n53481 80271\n140 196\n62753 94167\n57241 85943\n41887 62912\n25761 38564\n29495 44198\n37143 55743\n24104 36067\n89944 100000\n64439 96664\n25072 37537\n62199 93335\n45731 68664\n26850 40207\n45407 68178\n14654 21885\n28645 42932\n47522 71383\n21939 32850\n12909 19288\n78824 100000\n35168 52780\n75206 100000\n21841 32703\n33369 50074\n34264 51402\n1909 2837\n89409 100000\n34358 51539\n20625 30884\n95325 100000\n17388 25983\n25161 37667\n83802 100000\n23599 35314\n76639 100000\n78079 100000\n87779 100000\n68106 100000\n25939 38823\n39345 59085\n49083 73727\n45916 68941\n34078 51127\n15837 23665\n52092 78212\n5140 7687\n75673 100000\n211 308\n49144 73813\n36979 55496\n14579 21769\n32665 48994\n23039 34471\n2953 4393\n33438 50173\n87980 100000\n93982 100000\n25526 38214\n19786 29619\n52184 78353\n80153 100000\n10755 16043\n20604 30850\n34362 51545\n52331 78565\n1047 1551\n28310 42413\n95496 100000\n95850 100000\n87861 100000\n15981 23873\n25185 37705\n25760 38563\n6308 9387\n80640 100000\n61235 91888\n48662 73085\n96 131\n19523 29213\n16684 24921\n86085 100000\n53213 79868\n59924 89944\n27544 41267\n38409 57664\n26496 39673\n4420 6601\n61969 92986\n68369 100000\n93954 100000\n93750 100000\n8742 13026\n35722 53616\n40418 60685\n19145 28633\n88631 100000\n44233 66425\n11198 16708\n33456 50200\n15577 23273\n86500 100000\n78218 100000\n61216 91862\n80339 100000\n95776 100000\n79301 100000\n30450 45660\n1223 1821\n61606 92441\n62074 93146\n526 778\n51253 76974\n64579 96888\n57045 85649\n85374 100000\n83312 100000\n55313 83032\n8212 12246\n66381 99550\n73725 100000\n33146 49730\n39702 59623\n41641 62542\n54051 81131\n76301 100000\n44984 67543\n79863 100000\n95550 100000\n97610 100000\n68555 100000\n11769 17573\n73738 100000\n55151 82779\n79912 100000\n88171 100000\n83263 100000\n41826 62820\n78783 100000\n7062 10521\n72435 100000\n98296 100000\n95214 100000\n70554 100000\n39642 59538\n80026 100000\n32796 49193\n65568 98350\n18174 27167\n70749 100000\n1723 2569\n16389 24483\n6847 10192\n88398 100000\n22065 33040\n23671 35422\n63441 95162\n17758 26527\n22687 33959\n95960 100000\n2477 3682\n4275 6381\n20889 31283\n44458 66767\n5132 7674\n96097 100000\n14756 22030\n15457 23080\n93218 100000\n23986 35897\n91841 100000\n73644 100000\n50448 75769\n76116 100000\n25387 38007\n57827 86811\n76063 100000\n23851 35698\n2869 4274\n40476 60777\n32801 49201\n34874 52331\n99871 100000\n25038 37483\n2904 4328\n63785 95690\n79620 100000\n55831 83835\n46003 69072\n34904 52373\n48900 73448\n2738 4078\n27402 41041\n314 458\n13279 19854\n23141 34626\n99357 100000\n47248 70967\n92458 100000\n14800 22096\n11768 17572\n55637 83533\n68395 100000\n19336 28928\n52916 79431\n45793 68758\n56208 84381\n74813 100000\n60171 90315\n38161 57275\n85523 100000\n14765 22043\n36016 54060\n35901 53887\n71107 100000\n44567 66923\n53657 80533\n99222 100000\n56148 84295\n31291 46925\n6180 9199\n86747 100000\n77759 100000\n30 43\n22494 33679\n27075 40552\n47514 71371\n42139 63284\n72318 100000\n51339 77108\n70614 100000\n85929 100000\n27981 41923\n61668 92538\n9343 13935\n95603 100000\n70445 100000\n31032 46531\n37160 55767\n91483 100000\n23844 35687\n68435 100000\n88779 100000\n96150 100000\n49419 74229\n9205 13723\n27299 40887\n35820 53765\n85877 100000\n43815 65801\n66888 100000\n44287 66507\n62728 94132\n63280 94928\n47990 72088\n25726 38514\n8578 12783\n13003 19433\n6707 9978\n43693 65622\n76768 100000\n74820 100000\n1932 2871\n93246 100000\n97713 100000\n89657 100000\n61184 91819\n20134 30141\n84611 100000\n7899 11773\n48776 73256\n67917 100000\n85323 100000\n60154 90289\n65379 98071\n44332 66575\n68009 100000\n63173 94771\n79130 100000\n50638 76065\n70188 100000\n69678 100000\n35034 52574\n31500 47236\n34210 51326\n71572 100000\n459 673\n53468 80252\n85535 100000\n29388 44041\n52870 79362\n60483 90769\n81519 100000\n44463 66775\n9660 14388\n94206 100000\n50164 75343\n90850 100000\n32410 48608\n26487 39661\n76263 100000\n45297 68015\n23373 34984\n75667 100000\n41617 62509\n60667 91045\n57534 86375\n58959 88516\n97521 100000\n10311 15372\n62759 94177\n76148 100000\n64327 96495\n32682 49021\n21624 32379\n94367 100000\n2299 3421\n36799 55231\n80937 100000\n50601 76010\n36010 54053\n52011 78096\n70949 100000\n62738 94146\n44545 66895\n53564 80390\n1356 2020\n88315 100000\n18434 27553\n59207 88881\n46195 69361\n36161 54285\n4753 7097\n71413 100000\n77797 100000\n58810 88295\n37481 56254\n43667 65587\n41226 61918\n91452 100000\n92670 100000\n89736 100000\n58863 88372\n33166 49761\n59307 89027\n93507 100000\n14243 21281\n89244 100000\n41197 61877\n69843 100000\n17647 26372\n17525 26195\n86565 100000\n205 299\n81392 100000\n11145 16632\n84871 100000\n64862 97303\n22584 33809\n65699 98534\n22946 34334\n8690 12955\n69223 100000\n94065 100000\n44061 66172\n77570 100000\n47083 70708\n12401 18530\n13106 19591\n64754 97144\n78931 100000\n35502 53278\n8564 12760\n83189 100000\n4790 7153\n86834 100000\n33945 50929\n85671 100000\n67944 100000\n76166 100000\n9358 13957\n94535 100000\n9306 13884\n50622 76043\n122 167\n51082 76715\n12049 17998\n37988 57006\n72114 100000\n60944 91465\n45399 68165\n2570 3825\n1798 2676\n57570 86431\n8472 12626\n62608 93950\n67146 100000\n78905 100000\n78374 100000\n67713 100000\n872 1280\n93725 100000\n88813 100000\n98517 100000\n40500 60817\n63328 95002\n22074 33056\n82594 100000\n7065 10526\n87437 100000\n3020 4493\n30811 46207\n73662 100000\n79600 100000\n38220 57370\n8933 13316\n36187 54326\n69746 100000\n44376 66645\n96242 100000\n84126 100000\n52474 78768\n90912 100000\n27596 41346\n72887 100000\n42091 63210\n23050 34485\n48010 72116\n65580 98368\n1041 1541\n28298 42395\n22943 34330\n56962 85524\n4811 7182\n93624 100000\n62645 94007\n36947 55446\n76820 100000\n35882 53860\n40882 61395\n20819 31179\n48963 73542\n71958 100000\n2757 4103\n18381 27473\n1431 2131\n53666 80545\n80240 100000\n66825 100000\n51516 77368\n5580 8315\n43628 65527\n21021 31477\n4305 6429\n69918 100000\n6909 10288\n12542 18741\n92894 100000\n69263 100000\n85382 100000\n83384 100000\n38051 57103\n56893 85427\n67020 100000\n34498 51760\n92251 100000\n48131 72299\n88633 100000\n8223 12259\n84343 100000\n87332 100000\n75456 100000\n81022 100000\n53437 80207\n4135 6170\n31041 46543\n7533 11239\n74679 100000\n89983 100000\n6900 10275\n8192 12215\n21140 31651\n43294 65046\n73376 100000\n51552 77421\n98323 100000\n98513 100000\n8660 12906\n85112 100000\n79042 100000\n99125 100000\n49823 74839\n22999 34415\n17307 25856\n56003 84080\n75302 100000\n74637 100000\n89509 100000\n30871 46298\n76043 100000\n11722 17501\n97248 100000\n82590 100000\n59261 88959\n67331 100000\n55039 82608\n53871 80863\n26224 39257\n94438 100000\n63133 94718\n88094 100000\n33050 49583\n75742 100000\n2314 3446\n12578 18797\n2769 4126\n78133 100000\n62496 93779\n55115 82726\n80233 100000\n8143 12143\n43657 65572\n51284 77022\n56206 84377\n45641 68530\n76351 100000\n15405 23004\n36858 55321\n97752 100000\n92460 100000\n60027 90099\n61467 92240\n65373 98061\n70462 100000\n51735 77688\n2188 3257\n95343 100000\n37722 56610\n48207 72412\n95346 100000\n86311 100000\n92742 100000\n20674 30956\n60157 90294\n16368 24450\n14864 22186\n47713 71678\n22871 34225\n74937 100000\n50312 75559\n19157 28651\n45147 67789\n3912 5834\n66887 100000\n95821 100000\n32524 48780\n57284 86006\n43683 65609\n35905 53894\n14842 22152\n4435 6623\n32979 49474\n51876 77898\n9051 13490\n75237 100000\n48990 73587\n60784 91226\n34573 51878\n42022 63109\n16248 24268\n28750 43082\n80550 100000\n10769 16064\n74646 100000\n86708 100000\n82608 100000\n26243 39287\n92474 100000\n35041 52583\n56403 84684\n6301 9376\n71788 100000\n10885 16239\n8813 13135\n49536 74400\n93237 100000\n29104 43616\n41870 62885\n76632 100000\n47900 71952\n70612 100000\n33008 49522\n50602 76012\n5097 7620\n56596 84971\n84849 100000\n70845 100000\n57192 85872\n87011 100000\n5872 8749\n16915 25268\n17826 26628\n84429 100000\n8626 12852\n57898 86917\n49099 73749\n64027 96054\n19272 28828\n70281 100000\n64155 96242\n71308 100000\n54747 82177\n59202 88874\n91895 100000\n1099 1626\n43557 65419\n76372 100000\n86845 100000\n80532 100000\n11927 17815\n15455 23077\n15767 23560\n99183 100000\n7277 10854\n42324 63581\n85947 100000\n78849 100000\n83371 100000\n50987 76571\n47295 71035\n94087 100000\n16186 24180\n22928 34308\n40300 60508\n5166 7720\n43938 65990\n88101 100000\n98436 100000\n6713 9986\n29229 43808\n50533 75908\n75703 100000\n3112 4627\n36575 54885\n51600 77492\n45104 67724\n79999 100000\n69142 100000\n60613 90968\n78423 100000\n94581 100000\n5558 8284\n72977 100000\n79394 100000\n60881 91375\n77462 100000\n33775 50683\n65713 98558\n99767 100000\n81965 100000\n12983 19404\n50365 75639\n21773 32600\n2544 3786\n88698 100000\n97137 100000\n6816 10146\n654 962\n55920 83963\n98716 100000\n83512 100000\n48069 72202\n7625 11377\n75888 100000\n79992 100000\n80144 100000\n61406 92141\n74133 100000\n6709 9981\n62124 93223\n24178 36181\n36501 54779\n15918 23780\n25312 37891\n17778 26553\n6411 9541\n73437 100000\n93095 100000\n27324 40926\n84576 100000\n40328 60547\n72334 100000\n45072 67678\n51892 77921\n76258 100000\n30157 45202\n64247 96381\n74656 100000\n73979 100000\n1472 2198\n66917 100000\n9360 13960\n10196 15198\n75575 100000\n15428 23035\n59076 88686\n57911 86939\n91327 100000\n13309 19896\n21424 32074\n38491 57787\n13758 20557\n15412 23015\n75649 100000\n6234 9277\n80104 100000\n42874 64396\n9895 14755\n79110 100000\n12832 19180\n32781 49169\n49747 74726\n35947 53957\n53272 79959\n92154 100000\n61263 91926\n57634 86523\n98418 100000\n99422 100000\n78294 100000\n53082 79669\n21229 31785\n37192 55816\n96892 100000\n84017 100000\n63301 94962\n5962 8880\n92383 100000\n70454 100000\n60166 90308\n63581 95379\n62285 93472\n59748 89682\n17528 26198\n22193 33235\n79475 100000\n87672 100000\n68325 100000\n31712 47554\n82081 100000\n18500 27652\n57802 86772\n8458 12605\n32689 49034\n53137 79752\n48328 72586\n82498 100000\n79961 100000\n86285 100000\n66212 99298\n96202 100000\n16702 24950\n82735 100000\n33202 49818\n21199 31739\n41660 62574\n2752 4096\n38052 57104\n64615 96944\n70061 100000\n72282 100000\n11065 16515\n67814 100000\n67787 100000\n38675 58072\n9883 14734\n62934 94429\n57492 86310\n34385 51584\n77574 100000\n51069 76693\n63901 95866\n71234 100000\n79360 100000\n55888 83914\n73152 100000\n63358 95048\n84946 100000\n50798 76299\n25585 38305\n73533 100000\n57343 86097\n2459 3656\n21482 32167\n22392 33533\n54122 81249\n2928 4362\n71046 100000\n61861 92826\n13200 19730\n24702 36979\n47741 71722\n68589 100000\n82906 100000\n26526 39718\n49190 73882\n21348 31955\n22498 33686\n80650 100000\n48459 72775\n28184 42223\n41482 62299\n68877 100000\n6599 9824\n11039 16476\n4973 7431\n74635 100000\n25555 38257\n99370 100000\n8129 12118\n81359 100000\n86428 100000\n18950 28334\n18584 27777\n64998 97509\n95046 100000\n87491 100000\n33329 50008\n773 1141\n77371 100000\n26093 39059\n88941 100000\n41562 62429\n59943 89971\n74443 100000\n47835 71858\n52275 78482\n26047 38986\n83630 100000\n14571 21759\n41970 63037\n50354 75624\n58741 88194\n91567 100000\n90109 100000\n11332 16914\n89059 100000\n41467 62277\n15438 23052\n42813 64303\n28500 42716\n68586 100000\n49071 73708\n1676 2498\n82803 100000\n13469 20131\n55127 82742\n51056 76673\n62530 93829\n63018 94551\n18999 28410\n62908 94393\n51830 77833\n61933 92935\n96737 100000\n24220 36244\n34737 52133\n75971 100000\n91822 100000\n77393 100000\n12026 17962\n57177 85852\n64797 97206\n45212 67888\n44934 67466\n90153 100000\n95809 100000\n85127 100000\n31192 46772\n9113 13586\n11076 16534\n84573 100000\n75578 100000\n71540 100000\n83161 100000\n64009 96027\n46661 70066\n582 852\n89611 100000\n25100 37576\n38169 57289\n18261 27298\n8470 12623\n74140 100000\n7865 11720\n82057 100000\n53794 80743\n63222 94844\n8186 12206\n5631 8392\n38680 58081\n39064 58669\n33972 50967\n75728 100000\n10360 15442\n98408 100000\n46801 70283\n65588 98379\n41695 62624\n37644 56493\n26288 39354\n72260 100000\n13452 20107\n45653 68549\n8428 12558\n68769 100000\n52564 78904\n94289 100000\n78344 100000\n73672 100000\n53933 80956\n64884 97336\n31982 47956\n54250 81428\n82075 100000\n88680 100000\n45044 67639\n82419 100000\n20230 30283\n69219 100000\n46963 70523\n7108 10594\n58191 87355\n18307 27367\n96307 100000\n46202 69372\n38098 57177\n70399 100000\n55063 82646\n15794 23600\n23517 35196\n55925 83971\n68517 100000\n8173 12187\n20579 30813\n25440 38088\n3 4\n73291 100000\n19474 29137\n8247 12294\n45406 68176\n67080 100000\n46113 69237\n74537 100000\n68721 100000\n45106 67728\n10179 15175\n84569 100000\n13323 19916\n25717 38503\n51979 78048\n82975 100000\n7943 11837\n30765 46136\n84182 100000\n96444 100000\n12668 18931\n66673 99991\n20594 30836\n37420 56160\n89725 100000\n17808 26602\n81658 100000\n32561 48836\n59964 90007\n21147 31662\n31274 46896\n46454 69756\n17506 26170\n3585 5336\n7215 10756\n59768 89708\n71569 100000\n28829 43209\n69672 100000\n78810 100000\n21081 31564\n77241 100000\n76093 100000\n54852 82330\n63840 95774\n10064 15005\n4932 7369\n42915 64463\n66132 99174\n12377 18495\n92754 100000\n25534 38225\n50153 75326\n69107 100000\n4114 6140\n83648 100000\n57144 85797\n40187 60335\n37837 56779\n95605 100000\n70912 100000\n18542 27713\n90710 100000\n3998 5965\n2868 4272\n63773 95669\n61802 92736\n19962 29876\n54083 81184\n53826 80794\n46111 69234\n94890 100000\n42539 63893\n68321 100000\n12381 18501\n3649 5438\n67918 100000\n10978 16385\n96903 100000\n76383 100000\n19899 29784\n83385 100000\n38049 57101\n31738 47591\n52204 78381\n71239 100000\n93657 100000\n76336 100000\n26520 39707\n62713 94107\n27147 40660\n82784 100000\n38085 57156\n96670 100000\n13407 20041\n24239 36272\n26049 38990\n41076 61694\n50489 75836\n10268 15307\n4503 6723\n30370 45533\n54618 81980\n61116 91720\n12353 18457\n73121 100000\n17489 26144\n6804 10128\n6569 9783\n42012 63095\n99885 100000\n64593 96908\n89477 100000\n79319 100000\n40536 60872\n86805 100000\n12737 19046\n40331 60551\n98300 100000\n53647 80516\n73723 100000\n62662 94031\n95480 100000\n68684 100000\n34838 52282\n3193 4751\n89697 100000\n21625 32380\n2302 3426\n96158 100000\n19718 29517\n18756 28038\n46379 69641\n75760 100000\n38694 58102\n88348 100000\n81120 100000\n39092 58712\n21734 32542\n81107 100000\n75884 100000\n95540 100000\n15599 23305\n93754 100000\n23612 35331\n28250 42327\n45188 67854\n3979 5938\n40105 60211\n25868 38719\n49714 74674\n32571 48850\n84922 100000\n79537 100000\n2639 3931\n57801 86770\n30458 45673\n40123 60237\n87838 100000\n13130 19626\n28450 42635\n38311 57514\n50990 76576\n59788 89739\n10105 15070\n28908 43325\n5561 8289\n59598 89462\n36604 54930\n1232 1834\n93592 100000\n43651 65562\n43852 65855\n27183 40713\n54432 81701\n38793 58255\n69590 100000\n32173 48249\n21387 32016\n24647 36888\n98568 100000\n39940 59975\n48842 73359\n13915 20789\n42582 63964\n36215 54366\n60035 90112\n98709 100000\n30864 46286\n37429 56172\n2161 3221\n68041 100000\n64043 96077\n58387 87653\n17770 26542\n88391 100000\n92762 100000\n68771 100000\n39107 58728\n95705 100000\n81254 100000\n67349 100000\n57101 85734\n75183 100000\n92304 100000\n24916 37301\n93354 100000\n74277 100000\n44648 67043\n28026 41986\n81380 100000\n49683 74626\n26398 39526\n10692 15936\n45858 68852\n33555 50349\n84623 100000\n81223 100000\n29147 43680\n66394 99567\n51482 77321\n96322 100000\n48787 73273\n28650 42942\n9989 14895\n33741 50627\n85802 100000\n46616 70004\n38855 58353\n73839 100000\n29384 44036\n63059 94606\n30349 45509\n34492 51750\n60183 90331\n82055 100000\n32511 48764\n280 409\n81962 100000\n69340 100000\n31336 46990\n7179 10701\n47935 72004\n45335 68072\n1803 2684\n60045 90126\n49676 74614\n22246 33313\n49902 74953\n92982 100000\n87184 100000\n30551 45813\n22322 33429\n77040 100000\n45181 67842\n88516 100000\n31978 47950\n26056 39001\n88036 100000\n64605 96929\n2223 3308\n50491 75839\n72741 100000\n69118 100000\n8073 12036\n86401 100000\n17532 26203\n71453 100000\n88525 100000\n32638 48951\n69397 100000\n43585 65461\n49976 75057\n74101 100000\n23728 35511\n50280 75508\n30025 45000\n2938 4374\n38440 57710\n87426 100000\n95689 100000\n95106 100000\n4405 6579\n28395 42544\n80834 100000\n45295 68013\n8023 11959\n90541 100000\n85113 100000\n56851 85362\n39034 58621\n53472 80259\n4118 6145\n13368 19981\n51563 77434\n51959 78020\n49641 74560\n38894 58415\n58145 87289\n5944 8852\n56432 84729\n39249 58936\n64886 97339\n57585 86454\n46534 69880\n23215 34742\n90345 100000\n69883 100000\n40115 60226\n98250 100000\n62330 93538\n61209 91852\n37754 56656\n32234 48336\n85761 100000\n25245 37793\n87751 100000\n37692 56566\n21709 32506\n10405 15504\n28346 42470\n3702 5519\n44787 67255\n19276 28834\n19220 28748\n60409 90660\n39906 59923\n4432 6618\n45360 68105\n14710 21961\n54965 82500\n21891 32777\n67014 100000\n87725 100000\n58971 88532\n21416 32063\n68878 100000\n64540 96828\n16142 24113\n54326 81544\n10138 15115\n76714 100000\n1334 1992\n81210 100000\n7861 11713\n16019 23933\n44409 66696\n16842 25160\n78110 100000\n57134 85782\n99458 100000\n91980 100000\n37639 56486\n94393 100000\n64661 97009\n66143 99190\n72735 100000\n78290 100000\n57521 86355\n96510 100000\n2105 3134\n52290 78504\n68191 100000\n69602 100000\n60002 90063\n10585 15770\n41369 62135\n56558 84915\n78816 100000\n67228 100000\n88819 100000\n83904 100000\n74978 100000\n53016 79581\n95233 100000\n11002 16420\n97660 100000\n74323 100000\n37934 56927\n63841 95776\n45977 69032\n65961 98924\n32118 48164\n32413 48612\n97075 100000\n84483 100000\n97837 100000\n46821 70314\n18305 27364\n12838 19188\n89554 100000\n76725 100000\n5428 8104\n50782 76275\n89939 100000\n23490 35160\n43516 65361\n43716 65656\n98609 100000\n24656 36904\n66331 99477\n75453 100000\n90708 100000\n83306 100000\n98910 100000\n92611 100000\n70586 100000\n26513 39696\n52930 79454\n98662 100000\n29841 44720\n46284 69501\n90903 100000\n79298 100000\n14229 21259\n50907 76453\n79533 100000\n98712 100000\n12882 19250\n27269 40841\n87699 100000\n55912 83951\n88379 100000\n26353 39459\n32423 48628\n75643 100000\n37293 55961\n72093 100000\n89563 100000\n95746 100000\n67393 100000\n35118 52706\n54401 81656\n79254 100000\n20042 30003\n25443 38092\n95476 100000\n81272 100000\n21875 32754\n86908 100000\n18413 27523\n37890 56858\n78155 100000\n27847 41719\n66479 99697\n92150 100000\n59613 89483\n1055 1562\n63569 95360\n37151 55753\n45512 68322\n51806 77799\n64663 97012\n86216 100000\n93144 100000\n19926 29823\n95609 100000\n11883 17750\n88885 100000\n73801 100000\n22346 33462\n42195 63368\n47092 70722\n79384 100000\n2146 3199\n24242 36277\n25869 38720\n21205 31747\n76509 100000\n46453 69755\n90473 100000\n83322 100000\n19212 28735\n47710 71675\n36126 54234\n50722 76183\n24332 36412\n50718 76177\n83230 100000\n36055 54125\n95320 100000\n5684 8474\n84431 100000\n12651 18905\n12155 18165\n30933 46388\n54228 81397\n9366 13968\n58855 88363\n78814 100000\n82563 100000\n70731 100000\n41396 62178\n21513 32210\n71357 100000\n66760 100000\n18394 27493\n44530 66872\n12860 19220\n63245 94878\n53951 80983\n59552 89393\n24402 36516\n77594 100000\n70590 100000\n58629 88021\n37438 56187\n21570 32298\n53042 79616\n54291 81493\n3405 5060\n68256 100000\n56873 85396\n40747 61193\n45856 68848\n17567 26255\n1171 1740\n83640 100000\n81209 100000\n89143 100000\n69956 100000\n30782 46164\n71942 100000\n66296 99425\n43686 65613\n88672 100000\n7279 10856\n38075 57142\n32480 48718\n70874 100000\n9908 14774\n43247 64973\n56700 85132\n85974 100000\n46331 69574\n25680 38449\n88573 100000\n6840 10182\n12217 18256\n71487 100000\n86988 100000\n72107 100000\n14253 21295\n11263 16810\n28204 42256\n40206 60363\n774 1142\n93436 100000\n40142 60268\n22832 34168\n56255 84454\n33860 50808\n43319 65083\n52802 79260\n16263 24290\n54763 82202\n5004 7480\n23424 35062\n7342 10958\n26219 39250\n80772 100000\n72370 100000\n12749 19065\n81172 100000\n54673 82065\n8879 13235\n11047 16489\n24232 36262\n83253 100000\n71436 100000\n96101 100000\n1680 2503\n10912 16280\n66987 100000\n72005 100000\n34606 51927\n70807 100000\n54874 82362\n48942 73514\n68089 100000\n9160 13657\n38565 57900\n75930 100000\n69010 100000\n42638 64047\n94830 100000\n27097 40585\n74192 100000\n49172 73853\n82997 100000\n11986 17901\n27323 40925\n56910 85453\n4556 6812\n91228 100000\n24844 37190\n47447 71263\n76140 100000\n41182 61853\n91569 100000\n26017 38947\n66769 100000\n24825 37159\n61357 92070\n58578 87942\n24624 36854\n79173 100000\n13788 20600\n22202 33247\n44355 66612\n47104 70740\n57376 86147\n35421 53155\n16175 24159\n74048 100000\n68573 100000\n82796 100000\n83971 100000\n88833 100000\n15962 23847\n97536 100000\n82403 100000\n47777 71778\n82779 100000\n34022 51045\n84289 100000\n96457 100000\n91334 100000\n1922 2858\n3750 5593\n88374 100000\n40399 60655\n46545 69896\n93902 100000\n82507 100000\n44840 67331\n94657 100000\n2810 4187\n48574 72948\n59498 89314\n12884 19253\n90871 100000\n44715 67145\n39132 58768\n42150 63304\n64726 97106\n93450 100000\n61019 91574\n32485 48725\n13139 19638\n87159 100000\n23484 35151\n22466 33641\n718 1060\n13148 19652\n91512 100000\n76754 100000\n73075 100000\n85560 100000\n77197 100000\n34637 51976\n33035 49563\n91210 100000\n63905 95873\n67939 100000\n5556 8281\n60109 90218\n26800 40131\n52032 78126\n40150 60278\n36378 54601\n59645 89531\n51488 77329\n78570 100000\n87457 100000\n31783 47653\n24197 36212\n96968 100000\n64868 97313\n12669 18933\n91270 100000\n14953 22317\n31223 46820\n40839 61330\n20774 31110\n52499 78806\n60568 90899\n2720 4050\n42348 63620\n40590 60954\n80035 100000\n52341 78580\n23966 35869\n66470 99684\n3449 5127\n99675 100000\n71625 100000\n13875 20733\n89723 100000\n76628 100000\n27876 41766\n38730 58155\n25436 38082\n75935 100000\n68117 100000\n40641 61034\n64293 96447\n89764 100000\n8077 12041\n33036 49564\n63754 95639\n92497 100000\n13581 20295\n48727 73185\n55380 83135\n14878 22206\n43253 64984\n75683 100000\n62664 94034\n71849 100000\n58120 87253\n18 26\n43357 65139\n66021 99021\n56990 85569\n22442 33609\n87917 100000\n9106 13576\n45066 67671\n65773 98648\n92038 100000\n71761 100000\n97648 100000\n86542 100000\n18407 27512\n69326 100000\n58998 88573\n54209 81370\n71260 100000\n82357 100000\n3069 4565\n66841 100000\n64211 96324\n39865 59864\n87141 100000\n18909 28274\n30126 45154\n20895 31293\n25432 38077\n23133 34614\n3258 4844\n45973 69025\n58918 88456\n7866 11722\n70082 100000\n68621 100000\n80613 100000\n95191 100000\n67871 100000\n60189 90340\n64003 96016\n15583 23282\n72879 100000\n82336 100000\n29701 44514\n12493 18667\n80751 100000\n93192 100000\n93028 100000\n28735 43060\n65111 97675\n27303 40893\n94384 100000\n22272 33355\n98232 100000\n68835 100000\n10086 15042\n71323 100000\n56884 85413\n32755 49131\n54145 81281\n85154 100000\n6164 9172\n92890 100000\n73837 100000\n24692 36963\n33026 49551\n19411 29037\n47884 71930\n6251 9301\n25117 37600\n20667 30946\n80218 100000\n29258 43849\n82736 100000\n66839 100000\n21388 32017\n71858 100000\n90507 100000\n39577 59439\n84582 100000\n25495 38167\n27558 41288\n39615 59498\n35202 52831\n72575 100000\n25464 38123\n96079 100000\n7349 10967\n2 3\n94041 100000\n2493 3705\n76088 100000\n95819 100000\n42204 63385\n64790 97196\n29849 44732\n4236 6322\n46953 70508\n90222 100000\n58567 87927\n31271 46891\n71598 100000\n45301 68021\n758 1119\n73625 100000\n26724 40015\n10427 15537\n76277 100000\n68448 100000\n86115 100000\n87561 100000\n26869 40237\n16527 24690\n55258 82944\n52386 78646\n57103 85737\n3684 5492\n40533 60869\n36849 55308\n91128 100000\n199 288\n78276 100000\n58927 88468\n96348 100000\n35646 53494\n59706 89621\n1397 2081\n98745 100000\n31466 47186\n23949 35839\n86598 100000\n90671 100000\n97249 100000\n63553 95336\n16623 24829\n9152 13643\n90237 100000\n58523 87859\n63096 94657\n81231 100000\n50948 76513\n28586 42840\n36891 55365\n6851 10199\n90908 100000\n17568 26256\n30111 45130\n80833 100000\n93296 100000\n39817 59795\n70504 100000\n25429 38073\n98089 100000\n30699 46039\n52168 78327\n21213 31759\n74538 100000\n74676 100000\n87582 100000\n17369 25952\n17024 25430\n76447 100000\n65344 98020\n45169 67822\n47808 71818\n2058 3058\n46145 69283\n9434 14069\n53425 80187\n25968 38865\n15646 23380\n79444 100000\n24030 35962\n99636 100000\n83180 100000\n40896 61416\n24458 36603\n2114 3149\n57393 86169\n61484 92263\n7809 11643\n32068 48087\n30583 45862\n22133 33144\n80979 100000\n31030 46528\n32981 49477\n51504 77352\n78989 100000\n47036 70636\n47207 70903\n32743 49111\n18805 28115\n96487 100000\n79835 100000\n52831 79304\n78514 100000\n78331 100000\n68888 100000\n50352 75621\n86928 100000\n15775 23572\n79186 100000\n59193 88861\n87040 100000\n69206 100000\n27160 40678\n32112 48154\n33550 50340\n95433 100000\n91 126\n43405 65211\n35273 52937\n53081 79668\n93195 100000\n59003 88580\n70723 100000\n19293 28862\n2549 3793\n95152 100000\n90795 100000\n89107 100000\n65506 98260\n34792 52218\n4654 6949\n11446 17089\n12383 18504\n48304 72553\n74350 100000\n24284 36345\n79702 100000\n79545 100000\n17027 25433\n47924 71987\n54295 81500\n80060 100000\n79942 100000\n51810 77804\n17121 25576\n80096 100000\n48224 72438\n74028 100000\n6863 10217\n85740 100000\n71001 100000\n1836 2732\n30923 46373\n31933 47881\n47739 71720\n86671 100000\n66407 99583\n77646 100000\n53981 81029\n24204 36223\n87037 100000\n89935 100000\n18669 27901\n20721 31030\n56391 84668\n51895 77925\n17522 26191\n31394 47080\n34109 51171\n56140 84283\n4206 6280\n92250 100000\n92636 100000\n27012 40457\n28322 42434\n72763 100000\n26388 39507\n30200 45271\n85389 100000\n62307 93504\n86528 100000\n84338 100000\n80809 100000\n51263 76990\n62251 93417\n20767 31101\n39897 59911\n57575 86438\n99857 100000\n29789 44645\n32666 48996\n92261 100000\n7369 10997\n25686 38457\n12008 17935\n89962 100000\n51510 77360\n88948 100000\n77379 100000\n51660 77578\n83821 100000\n68870 100000\n93935 100000\n16048 23971\n8800 13113\n99012 100000\n62777 94202\n36568 54876\n7839 11686\n78699 100000\n99314 100000\n89549 100000\n31504 47241\n55069 82656\n3806 5683\n41733 62680\n53148 79767\n27929 41848\n87050 100000\n68720 100000\n76344 100000\n97628 100000\n28561 42802\n61425 92169\n57979 87040\n79106 100000\n44528 66870\n28247 42323\n76656 100000\n26812 40149\n70091 100000\n24579 36784\n57204 85892\n69736 100000\n51219 76924\n69807 100000\n71795 100000\n9485 14137\n56996 85577\n31607 47401\n11057 16504\n96643 100000\n95737 100000\n35580 53395\n26525 39716\n39525 59364\n71482 100000\n90118 100000\n18723 27985\n2893 4313\n15453 23075\n37082 55650\n98518 100000\n8029 11969\n3988 5947\n68887 100000\n28698 43005\n2034 3021\n51744 77700\n47683 71635\n32011 48002\n67767 100000\n32875 49324\n22652 33908\n9655 14379\n61842 92793\n77787 100000\n92781 100000\n19750 29563\n89489 100000\n71119 100000\n19496 29168\n44413 66702\n30230 45318\n21473 32154\n26738 40037\n26316 39402\n63772 95667\n31385 47065\n9445 14083\n72776 100000\n30665 45992\n89344 100000\n49868 74904\n29733 44560\n46304 69532\n90027 100000\n46563 69924\n72639 100000\n78802 100000\n82006 100000\n86846 100000\n2839 4231\n53440 80212\n12376 18493\n62932 94427\n57472 86280\n61170 91801\n34013 51029\n50894 76433\n55641 83540\n25909 38778\n10041 14975\n16380 24468\n62779 94205\n13312 19900\n8338 12423\n80748 100000\n97954 100000\n38475 57761\n70796 100000\n28619 42893\n46264 69469\n82404 100000\n83085 100000\n66764 100000\n55537 83378\n65388 98084\n33327 50006\n88113 100000\n49394 74193\n25552 38251\n90259 100000\n36460 54721\n37091 55661\n51398 77201\n59596 89460\n75558 100000\n62260 93431\n78807 100000\n93575 100000\n86030 100000\n53236 79906\n14146 21137\n80778 100000\n48133 72302\n85885 100000\n90362 100000\n4798 7163\n47360 71137\n26688 39962\n6409 9539\n57239 85940\n53559 80382\n2697 4018\n59734 89660\n93956 100000\n84195 100000\n84229 100000\n96744 100000\n15513 23166\n7848 11698\n66720 100000\n51941 77993\n65552 98327\n15165 22644\n64364 96552\n23209 34730\n14812 22113\n18082 27022\n4157 6205\n39423 59211\n15853 23689\n57163 85826\n84405 100000\n46326 69566\n58700 88131\n64368 96558\n75449 100000\n17912 26762\n54647 82026\n2024 3003\n81779 100000\n20637 30904\n31039 46541\n4764 7112\n43605 65492\n15554 23233\n21418 32066\n83457 100000\n17701 26447\n80904 100000\n66264 99378\n30599 45888\n13280 19856\n14134 21118\n58376 87635\n60265 90448\n33119 49686\n11711 17483\n86773 100000\n87244 100000\n93232 100000\n17392 25987\n16005 23913\n65993 98973\n50058 75186\n84078 100000\n46674 70090\n2013 2989\n75441 100000\n76764 100000\n36492 54765\n78682 100000\n24464 36611\n23341 34931\n49922 74979\n90325 100000\n46861 70375\n138 194\n52547 78879\n33852 50798\n41587 62462\n82787 100000\n47812 71824\n26321 39410\n89511 100000\n30940 46401\n67591 100000\n6548 9751\n79527 100000\n84533 100000\n83131 100000\n73464 100000\n80348 100000\n93909 100000\n73205 100000\n5073 7584\n73433 100000\n54569 81913\n27449 41116\n14885 22216\n85638 100000\n57254 85964\n54641 82016\n29532 44251\n60041 90121\n2949 4389\n75070 100000\n57869 86875\n55255 82939\n29267 43860\n24033 35966\n63497 95256\n25423 38063\n15366 22944\n48410 72701\n89658 100000\n33136 49715\n20349 30476\n76415 100000\n34738 52135\n57384 86157\n49873 74913\n96710 100000\n3136 4665\n89313 100000\n89506 100000\n93638 100000\n17597 26301\n29206 43774\n66671 99989\n63638 95462\n32198 48285\n71443 100000\n94376 100000\n64850 97286\n5322 7950\n91897 100000\n8362 12461\n63976 95976\n28108 42107\n7823 11663\n32233 48335\n59718 89637\n90494 100000\n27065 40537\n35673 53534\n53490 80284\n17311 25862\n16289 24328\n48648 73062\n35476 53239\n64205 96315\n75724 100000\n33887 50848\n95426 100000\n51492 77334\n82053 100000\n27860 41740\n56605 84983\n12315 18399\n99353 100000\n9653 14377\n26789 40116\n1865 2775\n53409 80162\n63821 95748\n39756 59704\n44906 67426\n23747 35542\n78528 100000\n83081 100000\n54738 82164\n62843 94299\n52103 78228\n61256 91915\n87182 100000\n60144 90272\n9012 13434\n72618 100000\n98795 100000\n10424 15532\n33304 49963\n7586 11322\n20456 30632\n81861 100000\n46509 69838\n4816 7190\n75357 100000\n39704 59625\n91693 100000\n40945 61487\n61533 92339\n69045 100000\n81189 100000\n15542 23213\n72730 100000\n41177 61844\n65875 98800\n39245 58930\n64640 96979\n49806 74814\n58200 87368\n28336 42457\n90868 100000\n54866 82349\n57278 85998\n56975 85543\n39963 60007\n33704 50575\n38621 57989\n43047 64664\n33025 49549\n27445 41111\n99931 100000\n95945 100000\n21291 31879\n69358 100000\n64863 97305\n12924 19311\n72721 100000\n21860 32733\n22247 33314\n78347 100000\n60547 90866\n34993 52513\n13750 20547\n21763 32586\n82810 100000\n8726 13008\n8420 12546\n41426 62221\n64340 96515\n46602 69980\n95454 100000\n98991 100000\n25465 38125\n69145 100000\n81938 100000\n79188 100000\n3674 5476\n83419 100000\n2849 4244\n89557 100000\n76728 100000\n14167 21171\n47125 70775\n1857 2764\n20080 30059\n35819 53764\n73190 100000\n40703 61128\n31117 46659\n36789 55215\n80639 100000\n84326 100000\n14045 20983\n92344 100000\n4180 6241\n13645 20391\n95098 100000\n17604 26311\n73137 100000\n68698 100000\n95674 100000\n41885 62909\n56836 85339\n72028 100000\n57377 86148\n20592 30834\n90074 100000\n26857 40218\n87810 100000\n50558 75946\n7850 11701\n68718 100000\n47557 71438\n91162 100000\n20943 31365\n65647 98456\n78955 100000\n76998 100000\n80467 100000\n14006 20925\n61440 92195\n21236 31796\n840 1239\n85052 100000\n69322 100000\n63541 95319\n70594 100000\n34009 51022\n84561 100000\n66046 99059\n3177 4726\n48846 73364\n79228 100000\n45378 68132\n56325 84566\n57631 86520\n43559 65422\n96714 100000\n35075 52636\n96860 100000\n68796 100000\n5459 8143\n67746 100000\n68184 100000\n11390 17004\n11421 17049\n77288 100000\n58872 88385\n68354 100000\n20207 30247\n64846 97281\n52645 79029\n33875 50830\n99585 100000\n62585 93914\n57055 85661\n12024 17958\n40970 61524\n47044 70649\n21691 32480\n71775 100000\n44594 66959\n86900 100000\n47202 70894\n11593 17308\n7542 11252\n15844 23676\n20383 30525\n48431 72733\n84924 100000\n92976 100000\n35403 53128\n4392 6558\n2791 4158\n58201 87370\n70910 100000\n82830 100000\n35002 52527\n84868 100000\n54610 81970\n9392 14008\n34756 52162\n18216 27230\n53780 80722\n58073 87185\n49110 73763\n23781 35590\n73388 100000\n99381 100000\n65247 97870\n35456 53210\n86129 100000\n50073 75210\n16716 24972\n64547 96840\n94754 100000\n52978 79527\n99590 100000\n95517 100000\n83528 100000\n1762 2625\n37258 55916\n82377 100000\n73304 100000\n67446 100000\n22284 33371\n31932 47880\n52490 78791\n18290 27342\n52912 79424\n56324 84565\n39891 59903\n93949 100000\n46339 69583\n37552 56359\n18998 28409\n66225 99318\n78189 100000\n49353 74129\n23590 35301\n19715 29512\n67083 100000\n45398 68163\n68850 100000\n25883 38740\n83603 100000\n82173 100000\n50297 75537\n20269 30347\n80585 100000\n93654 100000\n49594 74490\n29343 43975\n7046 10497\n85861 100000\n62802 94238\n75650 100000\n18978 28380\n66239 99338\n38805 58275\n79582 100000\n28717 43036\n1470 2194\n27331 40939\n61261 91923\n23363 34967\n55977 84046\n73568 100000\n31027 46525\n44323 66563\n81649 100000\n83424 100000\n79592 100000\n95492 100000\n90254 100000\n61010 91560\n42891 64424\n65116 97683\n73273 100000\n23877 35732\n4550 6803\n24758 37059\n53897 80902\n68132 100000\n20762 31092\n55527 83359\n88393 100000\n91379 100000\n33454 50197\n70088 100000\n92235 100000\n20365 30499\n15983 23876\n42223 63417\n7749 11553\n53956 80991\n1361 2029\n33037 49565\n91256 100000\n89043 100000\n99144 100000\n88108 100000\n55059 82640\n81310 100000\n29580 44325\n70976 100000\n43878 65898\n69999 100000\n10872 16219\n17844 26653\n58823 88314\n40390 60644\n45610 68481\n7115 10605\n46438 69730\n32430 48639\n99929 100000\n29480 44175\n70863 100000\n93819 100000\n4846 7234\n18591 27787\n15305 22856\n19545 29248\n20279 30364\n94502 100000\n3787 5651\n61723 92618\n60024 90094\n94402 100000\n15623 23346\n69990 100000\n19299 28870\n31680 47511\n17919 26774\n4903 7325\n8600 12815\n94085 100000\n73293 100000\n26799 40130\n12510 18694\n80987 100000\n56528 84871\n2997 4461\n8803 13117\n87806 100000\n76718 100000\n67185 100000\n44608 66981\n33648 50494\n71821 100000\n7075 10540\n10508 15655\n57388 86163\n63879 95833\n63153 94744\n7935 11826\n46865 70379\n21520 32222\n4964 7416\n32217 48310\n38123 57217\n59678 89578\n14361 21451\n8427 12557\n60052 90137\n20469 30648\n5301 7921\n10999 16416\n49531 74393\n14831 22136\n49111 73765\n30117 45139\n68263 100000\n40381 60630\n36788 55214\n72157 100000\n91533 100000\n71838 100000\n39631 59521\n35527 53319\n93740 100000\n27046 40507\n44730 67170\n15659 23400\n27716 41526\n95934 100000\n85186 100000\n26616 39852\n69309 100000\n58551 87903\n26733 40029\n70931 100000\n30984 46465\n64386 96585\n68049 100000\n87520 100000\n50522 75891\n77109 100000\n85445 100000\n38131 57232\n14898 22235\n40235 60409\n7347 10964\n28794 43151\n57819 86798\n24646 36886\n91986 100000\n15314 22868\n68323 100000\n69175 100000\n61326 92025\n24418 36539\n49112 73766\n48897 73444\n72340 100000\n19803 29642\n72927 100000\n51485 77325\n61598 92428\n17660 26390\n96218 100000\n29906 44817\n11175 16677\n66611 99896\n61678 92551\n68207 100000\n27855 41731\n93655 100000\n50860 76389\n20103 30095\n2609 3888\n7817 11655\n720 1064\n58035 87122\n30384 45558\n41298 62028\n26646 39900\n45081 67692\n14440 21565\n54886 82381\n75200 100000\n7831 11675\n31686 47520\n64890 97345\n55309 83026\n65034 97564\n30147 45186\n74013 100000\n82483 100000\n51963 78026\n11742 17531\n81870 100000\n15792 23597\n19423 29056\n47140 70799\n37376 56089\n20035 29992\n9523 14195\n41622 62517\n80578 100000\n78257 100000\n90329 100000\n26858 40220\n85031 100000\n46935 70479\n30051 45038\n47776 71776\n63019 94552\n11248 16785\n83184 100000\n82045 100000\n18298 27355\n70037 100000\n39259 58950\n92065 100000\n79220 100000\n72900 100000\n28725 43046\n72831 100000\n79946 100000\n63381 95079\n82027 100000\n86449 100000\n77433 100000\n15838 23667\n59214 88891\n75921 100000\n48421 72717\n4065 6061\n70164 100000\n76503 100000\n6002 8939\n33858 50804\n65574 98359\n16022 23936\n7778 11595\n72954 100000\n68493 100000\n1636 2445\n32165 48238\n50409 75708\n86786 100000\n7126 10619\n40833 61320\n38540 57867\n41428 62223\n7818 11656\n17359 25936\n73316 100000\n46700 70132\n18256 27288\n71065 100000\n29650 44435\n45135 67772\n95127 100000\n97702 100000\n20356 30488\n90519 100000\n44875 67381\n46590 69962\n22752 34058\n67361 100000\n12229 18273\n27451 41119\n14001 20918\n23531 35217\n32230 48330\n14623 21835\n61585 92412\n89149 100000\n69052 100000\n39361 59112\n84462 100000\n17512 26177\n46217 69395\n72881 100000\n96421 100000\n62676 94053\n77688 100000\n77806 100000\n5390 8049\n53479 80269\n66559 99815\n78665 100000\n55392 83154\n14234 21266\n42615 64012\n74286 100000\n16876 25213\n97626 100000\n69562 100000\n4481 6688\n2597 3871\n28159 42183\n10586 15772\n30207 45282\n34974 52483\n98059 100000\n43257 64990\n57001 85584\n11820 17659\n72560 100000\n90714 100000\n26379 39496\n40914 61439\n17362 25942\n80165 100000\n10734 16009\n556 816\n60593 90938\n26458 39613\n12405 18534\n512 757\n50144 75313\n39623 59510\n96940 100000\n28985 43444\n20402 30557\n39157 58805\n7155 10665\n54806 82266\n92618 100000\n37257 55915\n53511 80314\n82603 100000\n31891 47815\n22939 34325\n73315 100000\n93670 100000\n69638 100000\n82723 100000\n90105 100000\n10878 16229\n88310 100000\n3465 5151\n19131 28610\n63898 95860\n52039 78136\n34184 51287\n29294 43903\n93129 100000\n53461 80242\n93108 100000\n36820 55265\n37298 55967\n29682 44488\n87149 100000\n17661 26391\n97423 100000\n13683 20446\n67310 100000\n10389 15481\n87501 100000\n7645 11408\n14230 21261\n76947 100000\n36134 54245\n31383 47063\n35090 52660\n46097 69211\n71184 100000\n96008 100000\n1430 2130\n53023 79592\n18843 28167\n29490 44190\n70242 100000\n81389 100000\n29692 44502\n45140 67779\n87127 100000\n48908 73459\n16760 25040\n17736 26500\n31056 46563\n62296 93489\n24167 36163\n84548 100000\n56172 84331\n216 315\n91433 100000\n40197 60349\n1462 2179\n44211 66393\n65570 98353\n83492 100000\n7190 10720\n67279 100000\n14806 22106\n56917 85461\n67451 100000\n25636 38377\n21356 31965\n11669 17417\n47824 71842\n24833 37173\n16954 25324\n54230 81399\n26848 40204\n40189 60338\n14657 21889\n26866 40233\n85393 100000\n48976 73564\n76199 100000\n93345 100000\n78240 100000\n98416 100000\n47338 71101\n73667 100000\n89838 100000\n29806 44671\n81769 100000\n78357 100000\n29183 43737\n70701 100000\n49052 73679\n71480 100000\n35052 52599\n79234 100000\n36422 54666\n13188 19712\n20239 30299\n5021 7506\n18224 27242\n41498 62326\n75222 100000\n57447 86241\n62668 94040\n30014 44981\n40984 61547\n8679 12937\n64658 97005\n35214 52851\n64568 96872\n23197 34709\n13376 19995\n60460 90737\n42329 63590\n5029 7515\n81846 100000\n26946 40357\n30254 45355\n44610 66984\n74488 100000\n62609 93952\n30102 45115\n38897 58419\n5288 7903\n73749 100000\n58730 88179\n7268 10838\n12803 19140\n12093 18066\n23638 35373\n9510 14173\n49360 74140\n26269 39327\n29174 43725\n1159 1723\n27394 41029\n76392 100000\n24942 37341\n29215 43788\n16478 24617\n26964 40383\n95133 100000\n52160 78315\n52927 79450\n11195 16705\n43997 66080\n26940 40346\n77866 100000\n81481 100000\n13445 20097\n66714 100000\n86467 100000\n28340 42461\n47082 70707\n34748 52150\n65503 98256\n48883 73422\n82542 100000\n66277 99399\n34238 51365\n9305 13882\n38326 57539\n78282 100000\n55461 83261\n52013 78099\n57412 86198\n63444 95168\n55263 82953\n59050 88649\n26784 40108\n61559 92375\n9342 13934\n19340 28934\n92375 100000\n67832 100000\n52880 79377\n91370 100000\n63127 94706\n39752 59700\n19262 28813\n86194 100000\n28675 42974\n87023 100000\n15742 23521\n14132 21116\n35104 52683\n68571 100000\n50735 76201\n42761 64227\n95286 100000\n27743 41569\n39087 58703\n98909 100000\n59866 89856\n7886 11756\n55832 83837\n82343 100000\n40657 61056\n45557 68394\n12822 19166\n66281 99404\n57283 86004\n62835 94287\n19045 28475\n88570 100000\n348 511\n74628 100000\n46114 69239\n35706 53589\n26659 39920\n40462 60754\n31881 47799\n80717 100000\n30773 46149\n84532 100000\n73889 100000\n50820 76331\n97053 100000\n42746 64203\n21883 32765\n38163 57279\n50572 75965\n63492 95247\n77122 100000\n46969 70531\n94461 100000\n68275 100000\n27462 41136\n68386 100000\n17901 26744\n74329 100000\n5920 8817\n28466 42661\n2025 3005\n49068 73704\n6782 10095\n38932 58469\n95448 100000\n32265 48382\n59976 90025\n75710 100000\n74104 100000\n58868 88380\n41331 62080\n3311 4918\n54776 82220\n16408 24513\n26955 40370\n93899 100000\n69205 100000\n54075 81171\n8189 12211\n62218 93369\n47050 70658\n10656 15879\n81169 100000\n24813 37141\n76855 100000\n83168 100000\n75170 100000\n8430 12561\n31604 47398\n63045 94589\n67714 100000\n2736 4075\n47630 71552\n90571 100000\n55653 83558\n35590 53409\n8266 12318\n45277 67984\n24322 36399\n83537 100000\n72390 100000\n89095 100000\n84322 100000\n96474 100000\n2039 3029\n8046 11996\n18161 27149\n42916 64464\n82180 100000\n26355 39461\n97972 100000\n68233 100000\n85171 100000\n47320 71071\n79466 100000\n22218 33270\n29901 44810\n2141 3192\n12020 17952\n4331 6468\n63598 95404\n281 411\n56338 84586\n67321 100000\n27987 41931\n24492 36652\n77638 100000\n13120 19610\n35582 53398\n68923 100000\n82733 100000\n75469 100000\n97430 100000\n78013 100000\n90739 100000\n41700 62630\n77420 100000\n70007 100000\n6360 9467\n41803 62786\n31190 46770\n47376 71161\n23571 35274\n70730 100000\n54190 81344\n70665 100000\n13037 19483\n80345 100000\n17089 25526\n49210 73913\n97226 100000\n75096 100000\n47760 71752\n39889 59900\n13217 19755\n24525 36703\n18692 27935\n48433 72736\n93941 100000\n86703 100000\n596 870\n86596 100000\n78487 100000\n8085 12055\n59839 89816\n59514 89338\n53954 80988\n13252 19809\n43594 65476\n35589 53407\n49124 73785\n22959 34354\n48464 72783\n28380 42519\n19060 28499\n89029 100000\n9287 13855\n53496 80293\n45330 68065\n39187 58852\n6309 9389\n15952 23828\n81567 100000\n16247 24267\n59255 88949\n2281 3398\n19513 29197\n85659 100000\n90918 100000\n19025 28445\n93086 100000\n41427 62222\n10381 15468\n63345 95028\n23226 34760\n81060 100000\n17694 26439\n79526 100000\n50875 76408\n33173 49772\n3086 4591\n54381 81626\n5688 8481\n82349 100000\n19154 28646\n88594 100000\n37839 56782\n80773 100000\n83013 100000\n61044 91614\n25265 37824\n69606 100000\n37242 55893\n32431 48641\n59691 89598\n77589 100000\n39416 59200\n76985 100000\n15375 22958\n44732 67173\n81127 100000\n47932 71999\n5632 8394\n45224 67905\n9943 14829\n30009 44974\n69836 100000\n98882 100000\n43443 65266\n86619 100000\n28660 42955\n31245 46851\n94849 100000\n13198 19727\n28570 42814\n41773 62740\n59781 89729\n50857 76383\n69444 100000\n48015 72122\n63696 95552\n1670 2492\n40004 60069\n73771 100000\n8100 12076\n73467 100000\n72448 100000\n17201 25705\n73949 100000\n16335 24400\n90378 100000\n31744 47599\n39455 59258\n91486 100000\n33811 50734\n42474 63804\n19438 29080\n36375 54597\n63697 95553\n89870 100000\n60955 91482\n79623 100000\n3321 4933\n50715 76172\n874 1284\n22359 33484\n56211 84385\n35014 52542\n65517 98276\n23367 34974\n51098 76740\n96724 100000\n49690 74639\n95827 100000\n17172 25661\n51388 77182\n67514 100000\n22010 32956\n81648 100000\n83002 100000\n26833 40182\n86405 100000\n66596 99874\n44847 67341\n84073 100000\n79349 100000\n6826 10159\n10731 16005\n2369 3522\n81413 100000\n31509 47250\n97267 100000\n47362 71140\n54139 81272\n87318 100000\n64642 96982\n41920 62962\n2829 4218\n39440 59236\n35827 53777\n95212 100000\n73305 100000\n52740 79173\n235 341\n19316 28898\n62722 94122\n13155 19663\n12623 18865\n25222 37758\n15919 23781\n68710 100000\n65160 97742\n56592 84964\n81318 100000\n83500 100000\n74556 100000\n77795 100000\n6212 9244\n25271 37834\n31252 46862\n30717 46064\n92751 100000\n75149 100000\n92588 100000\n20851 31224\n99578 100000\n81228 100000\n52707 79124\n18314 27376\n21778 32605\n72952 100000\n10997 16414\n5810 8657\n86246 100000\n69954 100000\n42715 64156\n45111 67736\n34246 51378\n89890 100000\n6682 9943\n11245 16780\n45505 68314\n66969 100000\n24246 36282\n60743 91159\n157 220\n10520 15673\n2292 3412\n5675 8460\n48476 72801\n46794 70271\n33097 49654\n59639 89521\n36725 55115\n68905 100000\n53465 80247\n3428 5095\n97695 100000\n39367 59122\n11855 17708\n55784 83760\n74719 100000\n82858 100000\n54549 81883\n97274 100000\n64424 96639\n6472 9641\n86476 100000\n80610 100000\n13333 19931\n89780 100000\n71521 100000\n29108 43622\n47448 71265\n96386 100000\n53180 79812\n50997 76587\n10766 16060\n35086 52653\n2415 3590\n58398 87669\n11534 17224\n76411 100000\n17648 26374\n39866 59866\n33461 50208\n47816 71830\n62488 93768\n91012 100000\n80472 100000\n75521 100000\n86880 100000\n56014 84098\n51320 77077\n72320 100000\n82109 100000\n25132 37625\n42827 64328\n80543 100000\n61657 92518\n83350 100000\n98351 100000\n33100 49658\n14548 21728\n41626 62521\n49300 74047\n38211 57355\n56145 84290\n7230 10779\n31697 47533\n4849 7239\n25550 38248\n4538 6785\n73092 100000\n73260 100000\n28684 42987\n82684 100000\n89212 100000\n59883 89882\n32523 48779\n71564 100000\n35061 52614\n73715 100000\n99837 100000\n14589 21784\n2696 4017\n41507 62343\n9317 13899\n27999 41947\n54035 81107\n37993 57015\n88719 100000\n65617 98418\n50135 75301\n75034 100000\n60956 91483\n29755 44595\n87324 100000\n49584 74474\n89361 100000\n90594 100000\n87834 100000\n18645 27865\n16166 24147\n27457 41128\n90651 100000\n74336 100000\n52165 78324\n79708 100000\n66248 99355\n50168 75348\n25766 38571\n80601 100000\n4239 6325\n38435 57703\n82994 100000\n68383 100000\n70424 100000\n69945 100000\n60665 91041\n88232 100000\n35493 53264\n10877 16227\n42159 63315\n54838 82310\n78042 100000\n71925 100000\n38072 57137\n14779 22061\n67060 100000\n58220 87399\n98400 100000\n86965 100000\n74816 100000\n75556 100000\n79608 100000\n57666 86570\n65173 97764\n27693 41489\n31145 46698\n5387 8044\n47231 70938\n5000 7473\n69047 100000\n95723 100000\n33884 50843\n85442 100000\n74640 100000\n11316 16890\n2120 3159\n62902 94384\n96579 100000\n89704 100000\n52134 78276\n85385 100000\n49766 74749\n67515 100000\n968 1433\n17543 26220\n16897 25242\n79476 100000\n81621 100000\n75664 100000\n6854 10202\n42507 63851\n5422 8095\n45954 68998\n59542 89378\n7275 10850\n10688 15928\n5121 7655\n23893 35755\n32422 48626\n574 841\n522 774\n91742 100000\n15018 22413\n77944 100000\n28200 42250\n25692 38466\n77061 100000\n60250 90428\n16066 24001\n41345 62099\n78889 100000\n11129 16609\n46258 69459\n73027 100000\n89229 100000\n70229 100000\n13451 20105\n89012 100000\n61618 92458\n9321 13904\n64212 96325\n38593 57946\n21745 32559\n15572 23263\n10642 15857\n55029 82594\n41701 62632\n7021 10456\n62357 93577\n30604 45897\n70099 100000\n4315 6443\n88366 100000\n62403 93644\n30251 45350\n55758 83718\n85544 100000\n62856 94319\n14509 21663\n72526 100000\n17203 25708\n22244 33310\n16182 24172\n28945 43382\n47474 71311\n30918 46365\n82727 100000\n74143 100000\n23009 34428\n39688 59602\n33473 50227\n18164 27152\n67614 100000\n46332 69575\n67433 100000\n10033 14963\n68470 100000\n40419 60687\n67033 100000\n37244 55897\n87399 100000\n99904 100000\n57273 85991\n45423 68203\n81509 100000\n14343 21427\n50255 75469\n14952 22315\n51856 77872\n83143 100000\n9880 14729\n8989 13401\n36296 54480\n59512 89335\n56409 84694\n77885 100000\n37846 56790\n34036 51068\n94415 100000\n65225 97839\n69275 100000\n30506 45747\n97119 100000\n25878 38733\n40357 60591\n83459 100000\n91074 100000\n89233 100000\n70728 100000\n88786 100000\n56032 84125\n28004 41953\n1648 2461\n12823 19167\n85582 100000\n23339 34927\n51370 77152\n7652 11416\n39660 59561\n79907 100000\n43895 65923\n50836 76354\n7910 11789\n18728 27995\n37157 55762\n83611 100000\n71972 100000\n58282 87497\n59616 89489\n44773 67233\n69869 100000\n90355 100000\n89767 100000\n81709 100000\n52779 79225\n34420 51638\n70963 100000\n72495 100000\n8866 13214\n38268 57448\n51156 76831\n49729 74698\n73099 100000\n51144 76812\n5828 8681\n11120 16598\n16177 24163\n81220 100000\n33872 50827\n76858 100000\n58364 87615\n86373 100000\n17766 26537\n73148 100000\n82701 100000\n86606 100000\n80349 100000\n46439 69732\n54389 81638\n77306 100000\n14201 21221\n55224 82888\n2404 3576\n39042 58634\n35144 52744\n81879 100000\n77325 100000\n77388 100000\n61180 91813\n35628 53468\n75445 100000\n28246 42321\n61687 92564\n19493 29163\n81883 100000\n28281 42370\n97077 100000\n43216 64926\n80596 100000\n16342 24412\n1491 2226\n41356 62117\n43606 65493\n67457 100000\n64204 96313\n74196 100000\n8633 12863\n75177 100000\n97830 100000\n16638 24852\n16844 25164\n87117 100000\n89663 100000\n89696 100000\n3269 4861\n98874 100000\n49185 73876\n82223 100000\n55834 83840\n25373 37985\n79805 100000\n30482 45711\n75399 100000\n66094 99123\n74198 100000\n13090 19567\n62625 93978\n40581 60939\n11214 16732\n39446 59246\n90616 100000\n23150 34639\n9193 13704\n95699 100000\n46059 69151\n48841 73357\n36051 54117\n17745 26510\n42079 63190\n38924 58457\n99213 100000\n37414 56150\n48003 72105\n37746 56645\n81934 100000\n46053 69140\n76123 100000\n24712 36993\n8028 11967\n3841 5735\n47300 71041\n31231 46832\n32615 48918\n35329 53021\n49449 74274\n65579 98367\n64929 97402\n64053 96090\n16778 25068\n23907 35775\n24545 36732\n14359 21448\n27420 41070\n56760 85218\n13178 19698\n64629 96966\n83689 100000\n33039 49568\n84386 100000\n94832 100000\n93046 100000\n99047 100000\n56267 84474\n63660 95498\n3958 5907\n17355 25931\n22437 33602\n96121 100000\n40624 61009\n82028 100000\n86252 100000\n7183 10707\n5533 8248\n67971 100000\n14998 22381\n25958 38850\n90103 100000\n5521 8233\n3691 5503\n25896 38759\n76752 100000\n84587 100000\n35713 53601\n68679 100000\n52444 78728\n76108 100000\n13172 19688\n62631 93986\n64483 96736\n15443 23059\n42234 63436\n10887 16242\n10012 14928\n45031 67618\n81522 100000\n75722 100000\n24664 36917\n48852 73375\n60939 91459\n47822 71839\n67520 100000\n89861 100000\n17079 25511\n77125 100000\n80600 100000\n95697 100000\n37885 56851\n21129 31634\n8810 13129\n75317 100000\n90326 100000\n96318 100000\n46157 69303\n39883 59889\n97802 100000\n69741 100000\n80500 100000\n20104 30097\n95690 100000\n49842 74867\n17649 26375\n26192 39208\n30222 45306\n84800 100000\n9164 13663\n65448 98171\n96256 100000\n41556 62420\n37654 56507\n57018 85610\n21479 32163\n31306 46946\n4201 6274\n50452 75775\n36964 55470\n78010 100000\n30044 45029\n42186 63354\n46571 69936\n69365 100000\n95372 100000\n74513 100000\n11948 17846\n76158 100000\n83625 100000\n89266 100000\n86461 100000\n19635 29387\n79316 100000\n43935 65985\n85549 100000\n96344 100000\n92509 100000\n6440 9589\n52079 78192\n21508 32203\n20622 30879\n51108 76755\n46921 70461\n61907 92898\n25166 37675\n90116 100000\n94609 100000\n15758 23547\n18418 27529\n59903 89911\n97192 100000\n74914 100000\n5395 8055\n17466 26109\n92371 100000\n81170 100000\n46922 70462\n59908 89921\n74775 100000\n59247 88938\n75322 100000\n22138 33150\n58212 87388\n68608 100000\n51817 77815\n3407 5062\n81912 100000\n19345 28941\n36185 54323\n7602 11343\n7745 11547\n88435 100000\n38538 57864\n97471 100000\n33959 50950\n78396 100000\n78101 100000\n49633 74549\n52993 79550\n35668 53525\n86558 100000\n61688 92565\n77764 100000\n5148 7697\n15795 23602\n13784 20594\n52859 79343\n23930 35810\n98825 100000\n42307 63551\n5553 8277\n38323 57534\n10418 15522\n6742 10033\n42154 63309\n88303 100000\n22068 33046\n560 822\n80369 100000\n74633 100000\n48392 72674\n35181 52800\n78951 100000\n41127 61770\n62612 93956\n77180 100000\n99282 100000\n92660 100000\n5615 8366\n22593 33823\n8151 12157\n22676 33946\n11960 17862\n19883 29761\n75553 100000\n34678 52040\n47726 71699\n55210 82866\n46555 69911\n33563 50361\n1248 1858\n10917 16289\n56683 85106\n56075 84194\n79614 100000\n86302 100000\n76710 100000\n19364 28968\n4245 6334\n43569 65438\n31235 46838\n52261 78465\n14102 21069\n1312 1956\n77293 100000\n49123 73783\n15954 23831\n72163 100000\n922 1361\n81550 100000\n65427 98141\n4343 6485\n37940 56935\n1119 1658\n69970 100000\n32268 48386\n77138 100000\n14239 21275\n89180 100000\n98028 100000\n72902 100000\n2654 3954\n12824 19169\n20984 31425\n85200 100000\n54229 81398\n51183 76869\n88419 100000\n68687 100000\n99957 100000\n85124 100000\n24696 36970\n5528 8241\n11733 17516\n71770 100000\n69375 100000\n9558 14239\n98710 100000\n97153 100000\n89795 100000\n81417 100000\n43133 64794\n96615 100000\n30281 45399\n43286 65033\n60685 91069\n87856 100000\n85896 100000\n6994 10418\n18744 28018\n55917 83958\n92307 100000\n35204 52835\n30096 45105\n67719 100000\n82529 100000\n14847 22159\n2066 3070\n12182 18202\n46920 70460\n21976 32904\n59553 89394\n81040 100000\n94934 100000\n94441 100000\n92749 100000\n18936 28312\n60674 91054\n63150 94741\n832 1229\n47486 71330\n8194 12219\n27374 41002\n83038 100000\n78094 100000\n3837 5729\n38598 57955\n84349 100000\n23434 35078\n84872 100000\n95931 100000\n18318 27382\n3259 4845\n68894 100000\n57905 86928\n10159 15147\n15788 23592\n60236 90408\n30652 45970\n15750 23533\n84885 100000\n97721 100000\n97809 100000\n79868 100000\n36287 54468\n86745 100000\n29383 44034\n58441 87729\n14233 21264\n4216 6292\n33538 50322\n58656 88066\n43383 65174\n84875 100000\n26821 40161\n75706 100000\n20506 30705\n69630 100000\n64492 96750\n33864 50815\n90435 100000\n49775 74761\n89248 100000\n96817 100000\n92047 100000\n67135 100000\n40746 61192\n99573 100000\n30383 45556\n68737 100000\n48586 72966\n19749 29561\n4635 6919\n4396 6564\n45801 68771\n71021 100000\n53590 80432\n75798 100000\n69739 100000\n85367 100000\n29596 44350\n89879 100000\n41939 62989\n43026 64631\n31923 47864\n93029 100000\n96530 100000\n64603 96926\n93515 100000\n84628 100000\n74825 100000\n77535 100000\n84848 100000\n18585 27778\n29749 44585\n48773 73251\n1972 2926\n32783 49172\n31590 47377\n97180 100000\n91312 100000\n3235 4811\n64742 97126\n36667 55031\n39333 59066\n668 983\n37715 56600\n25561 38266\n31284 46912\n90742 100000\n95608 100000\n85629 100000\n4935 7373\n24598 36815\n51254 76976\n56313 84548\n96913 100000\n56225 84408\n70865 100000\n51347 77118\n58679 88102\n35408 53137\n16458 24583\n76487 100000\n29874 44768\n13656 20407\n35043 52585\n23088 34543\n92548 100000\n16062 23993\n5715 8519\n37383 56101\n72268 100000\n86333 100000\n47581 71473\n52252 78449\n3744 5585\n9842 14669\n20081 30061\n98321 100000\n80274 100000\n96245 100000\n3169 4715\n29757 44597\n17103 25548\n69765 100000\n45567 68411\n14590 21785\n82020 100000\n70398 100000\n64865 97309\n32752 49125\n58365 87616\n50916 76464\n79983 100000\n1788 2663\n64649 96993\n36439 54689\n91126 100000\n93101 100000\n97288 100000\n91243 100000\n64519 96792\n1666 2487\n60510 90808\n35303 52980\n69830 100000\n49405 74209\n77905 100000\n42683 64108\n54129 81260\n81808 100000\n88831 100000\n39357 59107\n36637 54982\n74210 100000\n8410 12533\n41100 61730\n51578 77456\n99672 100000\n25291 37859\n89851 100000\n8838 13170\n85847 100000\n97317 100000\n79441 100000\n33233 49860\n1769 2636\n57184 85862\n30490 45722\n9700 14455\n88937 100000\n53502 80300\n16406 24511\n87772 100000\n65365 98049\n85905 100000\n86121 100000\n18981 28386\n13575 20285\n40701 61126\n72577 100000\n69654 100000\n13153 19661\n79520 100000\n92021 100000\n16063 23995\n36167 54296\n37309 55984\n90560 100000\n37874 56833\n72817 100000\n52697 79110\n91737 100000\n3781 5641\n41986 63060\n68537 100000\n37858 56810\n45064 67668\n58091 87210\n44036 66135\n27755 41586\n89832 100000\n68745 100000\n63716 95579\n62082 93156\n55165 82801\n39341 59079\n76788 100000\n20197 30232\n35215 52852\n58298 87520\n83318 100000\n67530 100000\n79941 100000\n74265 100000\n27630 41396\n70660 100000\n77204 100000\n99703 100000\n11034 16468\n20458 30635\n4709 7029\n3798 5671\n23405 35032\n34736 52132\n1536 2295\n41969 63035\n7306 10897\n96389 100000\n60114 90228\n43052 64670\n35809 53748\n23146 34633\n74420 100000\n64829 97256\n43666 65585\n28415 42576\n34395 51599\n91343 100000\n11430 17062\n24892 37264\n22806 34132\n27865 41749\n83629 100000\n19440 29083\n40321 60537\n47549 71427\n888 1308\n84645 100000\n83373 100000\n91691 100000\n26025 38958\n76349 100000\n71463 100000\n69565 100000\n84151 100000\n68959 100000\n80207 100000\n87373 100000\n46669 70080\n95620 100000\n80965 100000\n59557 89400\n27553 41280\n51458 77286\n35738 53639\n31199 46782\n5111 7641\n17349 25922\n34296 51450\n25503 38178\n17422 26039\n26435 39578\n13634 20376\n60219 90383\n43545 65403\n81829 100000\n4128 6162\n70335 100000\n70785 100000\n8930 13311\n68464 100000\n31874 47789\n1387 2067\n47262 70990\n63791 95699\n90354 100000\n27638 41408\n24382 36490\n71987 100000\n20155 30171\n48268 72506\n24859 37213\n96972 100000\n10155 15141\n35132 52727\n24113 36079\n23128 34607\n443 645\n84553 100000\n77430 100000\n45692 68610\n64565 96868\n56078 84199\n97067 100000\n25424 38065\n94501 100000\n1382 2060\n43048 64666\n52087 78203\n60929 91446\n78565 100000\n52215 78397\n19022 28441\n75320 100000\n62282 93467\n80078 100000\n88816 100000\n59147 88790\n72342 100000\n52795 79251\n63780 95681\n64489 96746\n99959 100000\n80893 100000\n89286 100000\n93960 100000\n46516 69849\n59751 89686\n12173 18189\n16367 24448\n17650 26377\n9381 13990\n68421 100000\n33449 50191\n87131 100000\n97351 100000\n7611 11355\n53893 80896\n44457 66766\n99100 100000\n7460 11132\n35862 53829\n67439 100000\n92814 100000\n17063 25489\n89216 100000\n5642 8409\n16553 24727\n66932 100000\n31955 47913\n63733 95609\n89494 100000\n39144 58789\n49459 74291\n45989 69052\n86417 100000\n37869 56827\n69483 100000\n26280 39344\n25928 38808\n45077 67686\n59844 89823\n20282 30369\n67937 100000\n86962 100000\n15759 23549\n59821 89788\n61760 92671\n61744 92647\n20229 30281\n96225 100000\n23184 34692\n62770 94189\n99333 100000\n46252 69449\n97692 100000\n76729 100000\n96312 100000\n81603 100000\n22303 33399\n15722 23492\n82474 100000\n82782 100000\n66200 99282\n92476 100000\n18116 27076\n34731 52125\n52301 78520\n97665 100000\n28173 42206\n80941 100000\n51209 76908\n46408 69685\n52139 78281\n54976 82515\n56080 84202\n32211 48303\n3101 4613\n73310 100000\n26781 40104\n19534 29230\n48362 72633\n57314 86053\n86796 100000\n47994 72093\n46970 70532\n50220 75419\n53741 80660\n6513 9700\n98311 100000\n89071 100000\n97023 100000\n3689 5501\n44198 66377\n17303 25852\n94039 100000\n50941 76503\n19688 29468\n84956 100000\n38831 58316\n78577 100000\n10740 16017\n44142 66291\n4411 6588\n54125 81254\n92653 100000\n99303 100000\n97902 100000\n11012 16437\n38320 57529\n94766 100000\n7553 11271\n57729 86660\n92325 100000\n70925 100000\n67989 100000\n40138 60261\n62108 93198\n94322 100000\n95163 100000\n34739 52137\n99751 100000\n17015 25419\n40102 60207\n75288 100000\n6109 9086\n50515 75878\n99716 100000\n80535 100000\n88295 100000\n72454 100000\n81685 100000\n48052 72176\n21846 32712\n67187 100000\n72156 100000\n67484 100000\n26423 39561\n49631 74547\n60526 90832\n85297 100000\n58402 87676\n22748 34052\n14434 21557\n7020 10455\n285 415\n26105 39078\n70349 100000\n502 744\n23564 35265\n43327 65094\n85441 100000\n85344 100000\n91590 100000\n45877 68882\n47955 72034\n3261 4848\n45159 67804\n84257 100000\n94781 100000\n79435 100000\n78601 100000\n42473 63803\n64159 96247\n53280 79970\n90372 100000\n1741 2594\n5816 8666\n56801 85282\n85286 100000\n4258 6356\n55601 83479\n40472 60771\n95031 100000\n19793 29630\n22753 34060\n12638 18887\n90884 100000\n64762 97155\n81819 100000\n70356 100000\n85939 100000\n7097 10576\n48290 72533\n96814 100000\n65255 97881\n26990 40424\n49269 74000\n51149 76819\n80475 100000\n94329 100000\n6021 8964\n13501 20174\n67128 100000\n33857 50803\n81489 100000\n7379 11011\n52688 79095\n8499 12664\n86150 100000\n34339 51510\n52692 79101\n17751 26517\n85836 100000\n82647 100000\n77729 100000\n9415 14044\n72852 100000\n92825 100000\n665 979\n69583 100000\n63655 95492\n78664 100000\n19467 29126\n72067 100000\n80318 100000\n97842 100000\n33685 50547\n77673 100000\n28703 43011\n67967 100000\n91104 100000\n37369 56078\n4570 6834\n70936 100000\n62877 94349\n80272 100000\n47834 71856\n4251 6342\n68458 100000\n1333 1990\n97771 100000\n4695 7009\n167 236\n66968 100000\n41353 62112\n54073 81167\n36502 54780\n97028 100000\n4163 6215\n86452 100000\n87718 100000\n77329 100000\n7656 11421\n13603 20327\n41149 61801\n64516 96788\n63971 95969\n42370 63650\n6132 9122\n48825 73336\n64448 96678\n34733 52128\n60892 91393\n51031 76637\n56502 84830\n75406 100000\n56235 84422\n85914 100000\n41288 62011\n6497 9680\n92687 100000\n59931 89956\n26604 39835\n59346 89087\n21835 32693\n23682 35438\n1842 2741\n94412 100000\n45867 68865\n35500 53274\n40163 60297\n31283 46911\n71294 100000\n93630 100000\n11270 16821\n63511 95274\n99817 100000\n5998 8932\n95483 100000\n5024 7509\n29830 44706\n72244 100000\n46230 69415\n1042 1542\n29127 43651\n36146 54263\n6154 9158\n4795 7159\n88450 100000\n49450 74276\n54816 82280\n69794 100000\n51996 78074\n70258 100000\n33305 49965\n84545 100000\n97548 100000\n38964 58516\n10749 16034\n20960 31389\n80569 100000\n13185 19707\n55940 83993\n86041 100000\n69062 100000\n58758 88215\n41380 62152\n80680 100000\n43821 65811\n80629 100000\n29823 44696\n24550 36739\n4984 7447\n30351 45511\n91236 100000\n28977 43432\n70917 100000\n30572 45845\n21118 31618\n37068 55628\n90500 100000\n35939 53944\n26426 39565\n8309 12380\n28068 42047\n97285 100000\n8861 13206\n45038 67631\n97854 100000\n95248 100000\n72087 100000\n96646 100000\n50013 75117\n51292 77033\n77146 100000\n7683 11462\n67694 100000\n93536 100000\n14206 21229\n5101 7625\n95275 100000\n44444 66750\n42703 64137\n27625 41387\n65248 97871\n71191 100000\n23002 34418\n9681 14422\n69103 100000\n15155 22628\n94167 100000\n86808 100000\n85383 100000\n99174 100000\n82150 100000\n54642 82018\n10579 15760\n31627 47432\n4265 6365\n60932 91449\n5165 7719\n68749 100000\n54600 81957\n26570 39784\n40264 60453\n64485 96740\n66488 99712\n89594 100000\n95500 100000\n13562 20263\n34448 51686\n36508 54788\n96894 100000\n32734 49096\n26506 39687\n11158 16652\n39807 59780\n6608 9839\n54988 82536\n55361 83105\n1236 1842\n79499 100000\n23561 35261\n73901 100000\n84957 100000\n88095 100000\n11108 16578\n22548 33757\n33844 50784\n15119 22573\n36763 55175\n29241 43826\n86360 100000\n79616 100000\n55884 83908\n12331 18424\n65658 98471\n18641 27858\n62742 94150\n59055 88658\n86111 100000\n29620 44388\n55738 83691\n68085 100000\n39989 60046\n45776 68733\n87225 100000\n51924 77968\n62576 93900\n33349 50041\n78463 100000\n86301 100000\n63422 95137\n24193 36205\n25634 38375\n94389 100000\n66975 100000\n74883 100000\n21156 31676\n73930 100000\n59088 88701\n52758 79198\n82896 100000\n12081 18048\n92431 100000\n87871 100000\n43192 64889\n94147 100000\n38495 57793\n47505 71359\n82983 100000\n68955 100000\n80599 100000\n10569 15747\n51773 77747\n9982 14885\n26318 39405\n63960 95953\n8823 13148\n12506 18687\n32215 48308\n82778 100000\n35687 53557\n96201 100000\n76942 100000\n37396 56122\n21828 32682\n1207 1799\n25912 38782\n6975 10389\n67175 100000\n57663 86566\n53729 80641\n21414 32059\n93016 100000\n747 1103\n59348 89090\n89332 100000\n58179 87338\n94449 100000\n73890 100000\n13212 19749\n62278 93461\n96354 100000\n4691 7003\n65806 98696\n41155 61810\n32539 48804\n19452 29102\n43299 65052\n93691 100000\n69078 100000\n48235 72455\n42748 64207\n33188 49795\n79985 100000\n4800 7166\n55861 83877\n24158 36150\n46349 69597\n86704 100000\n10790 16098\n14160 21161\n52063 78169\n50260 75477\n7216 10758\n65466 98197\n40016 60085\n29926 44845\n69125 100000\n57728 86659\n32871 49319\n43547 65406\n70273 100000\n58404 87680\n55788 83767\n62090 93169\n40623 61007\n36326 54526\n94605 100000\n76228 100000\n18739 28010\n52297 78513\n81591 100000\n63796 95707\n28723 43044\n70452 100000\n41637 62537\n12947 19347\n11439 17078\n83938 100000\n24398 36511\n14593 21789\n99297 100000\n23115 34587\n49376 74164\n57226 85920\n27361 40980\n48472 72795\n32445 48662\n26319 39406\n49355 74132\n79722 100000\n29186 43742\n47868 71907\n84889 100000\n30374 45540\n58788 88257\n77246 100000\n40776 61234\n12228 18271\n49434 74251\n95849 100000\n13883 20748\n31763 47626\n32799 49197\n91058 100000\n37856 56807\n4822 7198\n12 17\n62678 94057\n32916 49386\n34134 51209\n60274 90461\n12251 18302\n56 81\n48858 73382\n88971 100000\n63064 94612\n87890 100000\n39292 59005\n38528 57848\n68726 100000\n36470 54736\n18457 27586\n31024 46520\n94132 100000\n82142 100000\n39714 59642\n74639 100000\n5708 8510\n70916 100000\n6783 10097\n71494 100000\n58628 88019\n16119 24079\n89203 100000\n52407 78672\n75940 100000\n71917 100000\n53009 79570\n17071 25501\n71672 100000\n28707 43018\n92499 100000\n74355 100000\n83578 100000\n16184 24176\n47375 71160\n82263 100000\n81992 100000\n79964 100000\n44492 66818\n30559 45826\n98936 100000\n48073 72208\n40116 60227\n9307 13886\n29435 44111\n86045 100000\n52603 78965\n39072 58680\n66653 99959\n28076 42062\n86632 100000\n26416 39551\n65322 97985\n66064 99085\n85414 100000\n33453 50195\n2732 4071\n68969 100000\n67462 100000\n18629 27837\n60128 90250\n6258 9314\n60562 90888\n52489 78790\n96375 100000\n42322 63578\n20843 31212\n67109 100000\n48622 73021\n22574 33793\n61270 91936\n16298 24343\n97088 100000\n77777 100000\n60495 90788\n90390 100000\n74588 100000\n25572 38284\n50679 76121\n97460 100000\n95110 100000\n67573 100000\n37771 56679\n39379 59139\n91463 100000\n23437 35084\n93847 100000\n82382 100000\n4963 7415\n56706 85142\n28994 43457\n22405 33555\n48790 73279\n89653 100000\n94050 100000\n71631 100000\n32402 48595\n51760 77723\n55584 83452\n87407 100000\n98285 100000\n99528 100000\n99150 100000\n49624 74536\n11189 16697\n94259 100000\n37484 56259\n41646 62549\n67195 100000\n44123 66263\n95760 100000\n46341 69587\n68285 100000\n93030 100000\n18243 27269\n55469 83271\n91070 100000\n93111 100000\n5316 7942\n58955 88510\n6060 9017\n3274 4869\n66740 100000\n3500 5207\n68656 100000\n9582 14271\n96929 100000\n79455 100000\n58175 87332\n841 1240\n14529 21699\n13126 19621\n64932 97405\n13752 20549\n15288 22831\n87961 100000\n5655 8429\n80127 100000\n77409 100000\n36805 55242\n49148 73821\n54240 81412\n19753 29567\n5252 7846\n62567 93886\n17442 26071\n71886 100000\n37069 55629\n73856 100000\n96572 100000\n63025 94561\n23426 35066\n40083 60184\n97844 100000\n51481 77319\n18353 27434\n90691 100000\n3048 4534\n81186 100000\n42282 63510\n34444 51679\n39913 59933\n14012 20936\n65759 98628\n91652 100000\n72790 100000\n84712 100000\n82988 100000\n1767 2632\n96874 100000\n92245 100000\n76679 100000\n51837 77845\n80723 100000\n34181 51282\n86002 100000\n38516 57827\n42515 63861\n34647 51990\n12858 19217\n94437 100000\n74533 100000\n83548 100000\n3221 4791\n90108 100000\n48975 73562\n45769 68722\n26198 39219\n77007 100000\n14936 22291\n82123 100000\n72670 100000\n94236 100000\n88172 100000\n50956 76526\n79050 100000\n70866 100000\n70779 100000\n19415 29042\n84852 100000\n69012 100000\n18655 27881\n67001 100000\n1911 2841\n21971 32896\n91546 100000\n82362 100000\n47343 71109\n15630 23355\n71101 100000\n53230 79896\n22831 34167\n53121 79725\n56310 84542\n65469 98202\n85312 100000\n20676 30959\n41621 62516\n91407 100000\n16861 25188\n14607 21810\n20270 30349\n73706 100000\n48031 72149\n54187 81339\n22230 33287\n44647 67042\n14500 21649\n34527 51805\n61046 91616\n3153 4692\n4681 6988\n75905 100000\n7140 10644\n17333 25896\n71596 100000\n16807 25110\n35455 53208\n28050 42019\n45268 67972\n38994 58563\n14101 21068\n66786 100000\n16096 24045\n56270 84478\n35791 53720\n40330 60550\n2739 4080\n49795 74797\n13764 20564\n17915 26768\n70859 100000\n89863 100000\n1840 2739\n70598 100000\n64936 97410\n56750 85202\n59640 89523\n43973 66047\n85657 100000\n26336 39433\n99604 100000\n69313 100000\n3665 5464\n41122 61763\n88076 100000\n74838 100000\n21509 32204\n754 1113\n99940 100000\n31154 46713\n56676 85096\n91389 100000\n21731 32538\n36453 54710\n98595 100000\n42398 63696\n62048 93110\n43145 64817\n30391 45567\n81253 100000\n90922 100000\n77307 100000\n6027 8972\n66434 99626\n73938 100000\n51574 77450\n93429 100000\n12893 19269\n73541 100000\n46533 69878\n40223 60391\n40347 60574\n82136 100000\n75525 100000\n8080 12046\n22163 33189\n9002 13421\n64129 96205\n62133 93237\n6845 10190\n98381 100000\n65198 97800\n38862 58367\n33900 50866\n49916 74970\n99811 100000\n51777 77753\n41751 62707\n28477 42679\n79530 100000\n99464 100000\n22512 33705\n62502 93789\n62821 94267\n86124 100000\n84468 100000\n49850 74880\n15316 22871\n27180 40708\n16582 24771\n38519 57832\n21907 32802\n95531 100000\n73958 100000\n28863 43258\n71135 100000\n48355 72622\n38289 57479\n92860 100000\n55507 83329\n62030 93082\n35235 52881\n48478 72803\n9698 14452\n34155 51243\n73026 100000\n31216 46808\n92957 100000\n40064 60156\n97790 100000\n35201 52829\n47047 70653\n51122 76775\n44536 66881\n93446 100000\n51405 77209\n24700 36976\n64671 97026\n47949 72024\n27088 40573\n43584 65460\n7551 11269\n95858 100000\n35032 52570\n44135 66282\n72980 100000\n19774 29600\n49175 73858\n955 1414\n5961 8878\n75188 100000\n66047 99060\n9328 13915\n53997 81051\n14913 22255\n70613 100000\n82553 100000\n59281 88992\n76195 100000\n47523 71385\n66618 99905\n65359 98039\n7859 11711\n66131 99173\n82703 100000\n87233 100000\n31452 47168\n43086 64719\n2806 4181\n45479 68279\n24212 36232\n56669 85084\n2559 3807\n41394 62175\n70020 100000\n42239 63446\n54457 81739\n10715 15976\n37321 56000\n49715 74676\n7430 11088\n48712 73164\n45945 68983\n99288 100000\n41693 62621\n85945 100000\n79881 100000\n28769 43111\n78478 100000\n88995 100000\n30138 45173\n50397 75688\n41604 62491\n26704 39985\n90301 100000\n21203 31745\n33042 49571\n43077 64707\n76892 100000\n78529 100000\n39684 59597\n69706 100000\n30713 46060\n19830 29683\n1835 2731\n66850 100000\n45414 68189\n29195 43756\n58704 88138\n8416 12541\n62367 93591\n68274 100000\n13169 19683\n40305 60516\n57453 86251\n66137 99182\n259 373\n25467 38129\n36487 54759\n76659 100000\n448 654\n65530 98295\n83256 100000\n89729 100000\n81109 100000\n77178 100000\n90734 100000\n3525 5249\n1342 2002\n91259 100000\n31565 47340\n14633 21854\n78564 100000\n13013 19446\n34938 52426\n95243 100000\n64325 96493\n49080 73722\n37099 55674\n12282 18345\n34841 52286\n34243 51372\n48187 72383\n23538 35227\n80275 100000\n18933 28309\n47138 70797\n29080 43587\n8401 12521\n54903 82408\n56421 84713\n43374 65163\n97263 100000\n89558 100000\n29078 43583\n24455 36597\n37419 56159\n43281 65026\n37842 56785\n1127 1669\n99616 100000\n82668 100000\n83166 100000\n57890 86907\n85791 100000\n13510 20189\n5405 8069\n7785 11606\n24645 36885\n66360 99519\n59230 88914\n26806 40139\n57159 85820\n42786 64267\n25525 38212\n8265 12317\n95792 100000\n3860 5761\n87796 100000\n12005 17931\n97572 100000\n72576 100000\n58281 87495\n46165 69313\n19955 29866\n98417 100000\n2644 3939\n18266 27306\n31365 47034\n53804 80759\n52317 78542\n87732 100000\n77558 100000\n57698 86619\n53320 80031\n84686 100000\n49869 74906\n1349 2012\n93034 100000\n11668 17415\n61808 92745\n16238 24253\n14753 22026\n25492 38162\n45975 69028\n2813 4191\n3395 5045\n52166 78325\n32652 48973\n68860 100000\n79189 100000\n57745 86683\n7237 10790\n73908 100000\n45285 67995\n3066 4560\n6635 9875\n80788 100000\n14619 21830\n99048 100000\n95016 100000\n32625 48933\n21008 31457\n34072 51117\n85688 100000\n96418 100000\n88544 100000\n79278 100000\n41933 62979\n68549 100000\n63269 94913\n27945 41868\n89738 100000\n25171 37682\n24887 37256\n98976 100000\n90033 100000\n74840 100000\n64511 96781\n89811 100000\n58060 87164\n89032 100000\n47681 71633\n80263 100000\n1140 1692\n80435 100000\n66111 99146\n79202 100000\n53877 80872\n51359 77135\n46069 69167\n2249 3349\n70115 100000\n43539 65395\n31481 47209\n88665 100000\n27675 41462\n82161 100000\n83046 100000\n1362 2030\n8306 12376\n56864 85381\n99729 100000\n66697 100000\n96234 100000\n33084 49636\n95210 100000\n28011 41964\n88037 100000\n10350 15429\n39630 59520\n69456 100000\n4730 7061\n39031 58616\n3244 4826\n21532 32240\n22304 33401\n61696 92576\n69146 100000\n45267 67970\n78640 100000\n27741 41565\n96768 100000\n50512 75872\n50030 75144\n4563 6823\n84457 100000\n25631 38371\n43300 65054\n69446 100000\n92234 100000\n26150 39143\n42408 63710\n19314 28894\n86950 100000\n46458 69762\n76084 100000\n65566 98347\n53147 79766\n20870 31256\n72222 100000\n17549 26228\n37969 56980\n50728 76192\n3945 5885\n58893 88419\n66923 100000\n62109 93200\n69343 100000\n43850 65852\n22336 33447\n71409 100000\n5313 7937\n60876 91366\n68384 100000\n23708 35480\n1496 2235\n70935 100000\n77247 100000\n66737 100000\n43119 64772\n33289 49940\n82021 100000\n90253 100000\n69276 100000\n72802 100000\n24701 36977\n43816 65803\n11146 16633\n4106 6126\n55536 83377\n7501 11193\n32572 48852\n24399 36513\n83970 100000\n10574 15753\n63117 94687\n67336 100000\n53519 80326\n65710 98552\n53344 80069\n63446 95171\n7765 11575\n66160 99219\n8226 12263\n72979 100000\n7763 11572\n6665 9919\n10773 16071\n11806 17635\n75757 100000\n91437 100000\n74315 100000\n92212 100000\n57117 85758\n69396 100000\n20193 30227\n48109 72264\n63575 95369\n27486 41172\n63193 94801\n33155 49744\n43755 65713\n50531 75905\n18706 27957\n21950 32865\n80359 100000\n69272 100000\n61583 92408\n63717 95581\n76486 100000\n17326 25884\n77224 100000\n37094 55666\n58946 88497\n74215 100000\n59065 88670\n50772 76260\n77579 100000\n52283 78494\n80429 100000\n78062 100000\n75826 100000\n4442 6633\n56582 84946\n21407 32048\n94662 100000\n82486 100000\n91621 100000\n94357 100000\n7929 11817\n31211 46800\n61434 92184\n25951 38839\n68362 100000\n33653 50502\n27507 41208\n65023 97547\n42103 63230\n16324 24382\n65462 98191\n8078 12043\n4510 6735\n96385 100000\n99889 100000\n63017 94550\n82408 100000\n8141 12140\n72169 100000\n44981 67539\n23985 35896\n5025 7510\n78781 100000\n31703 47541\n63658 95496\n38522 57838\n35548 53346\n89452 100000\n71677 100000\n54313 81525\n86716 100000\n9020 13447\n77582 100000\n88395 100000\n78175 100000\n17803 26594\n54088 81192\n4456 6653\n53926 80945\n61791 92721\n11278 16834\n5800 8644\n13619 20352\n1348 2010\n51186 76874\n81738 100000\n92960 100000\n12750 19067\n63372 95064\n78716 100000\n23495 35167\n30401 45586\n38129 57228\n97440 100000\n40481 60784\n24968 37383\n46429 69717\n52716 79138\n56947 85503\n96392 100000\n31700 47537\n70133 100000\n73851 100000\n9163 13661\n43028 64635\n5314 7939\n44879 67386\n73607 100000\n51489 77330\n11530 17218\n50984 76567\n22186 33223\n41533 62385\n60426 90686\n59641 89525\n95093 100000\n71114 100000\n93210 100000\n4997 7469\n67504 100000\n26006 38932\n38791 58251\n76879 100000\n49143 73812\n3256 4841\n90768 100000\n34819 52256\n32074 48097\n81629 100000\n21754 32572\n37533 56330\n1845 2747\n3491 5192\n32794 49190\n78918 100000\n89958 100000\n60584 90924\n45024 67607\n21151 31669\n93880 100000\n25867 38718\n92646 100000\n33664 50519\n48412 72705\n66347 99501\n5386 8042\n11943 17838\n60370 90601\n45353 68096\n7446 11110\n63955 95946\n64344 96521\n96428 100000\n68259 100000\n24570 36769\n90786 100000\n67979 100000\n84958 100000\n15003 22389\n85071 100000\n23967 35871\n67659 100000\n25708 38491\n93925 100000\n47600 71507\n92766 100000\n53967 81007\n23254 34800\n73134 100000\n68123 100000\n23101 34563\n91305 100000\n31939 47891\n31379 47058\n15205 22702\n48196 72398\n97303 100000\n41281 62002\n46457 69760\n19315 28896\n27771 41608\n61130 91743\n35800 53735\n63616 95430\n52877 79372\n76151 100000\n62826 94274\n24139 36118\n507 751\n10308 15367\n74214 100000\n88720 100000\n23126 34604\n23624 35352\n8163 12172\n87067 100000\n28362 42492\n6087 9057\n97126 100000\n91904 100000\n35677 53539\n83438 100000\n45318 68046\n41628 62524\n74314 100000\n57773 86723\n31169 46736\n87192 100000\n17006 25407\n64394 96596\n41728 62672\n94951 100000\n95711 100000\n77295 100000\n51707 77649\n80744 100000\n22947 34335\n55186 82828\n90611 100000\n17005 25405\n48402 72690\n99002 100000\n23210 34732\n2171 3235\n62150 93262\n1578 2363\n1296 1931\n80909 100000\n1708 2548\n98042 100000\n33833 50768\n51153 76826\n70298 100000\n79602 100000\n57719 86646\n56139 84281\n8239 12284\n38204 57342\n34743 52143\n23277 34831\n89765 100000\n12459 18617\n12636 18884\n38108 57192\n84863 100000\n36267 54441\n34530 51810\n4646 6937\n34236 51362\n8797 13107\n25628 38366\n76170 100000\n25983 38890\n87470 100000\n9920 14795\n34840 52285\n85364 100000\n20657 30933\n24688 36957\n38891 58411\n45855 68846\n4209 6284\n99514 100000\n83288 100000\n64202 96309\n51084 76719\n48186 72382\n6524 9716\n12946 19346\n4586 6855\n89371 100000\n86105 100000\n79875 100000\n74249 100000\n12162 18175\n20700 30997\n63778 95678\n13246 19800\n8696 12965\n11233 16762\n92797 100000\n84370 100000\n80121 100000\n63039 94580\n14362 21452\n2154 3210\n43335 65106\n42577 63955\n54343 81568\n74084 100000\n27031 40485\n98284 100000\n99318 100000\n6557 9765\n79333 100000\n14598 21796\n76337 100000\n46256 69455\n18928 28300\n65988 98964\n76388 100000\n86990 100000\n84415 100000\n60206 90364\n90692 100000\n18325 27391\n64208 96319\n86104 100000\n64474 96723\n39878 59882\n61868 92837\n54704 82112\n20000 29938\n93760 100000\n65863 98782\n68456 100000\n20127 30130\n14337 21418\n14622 21833\n3761 5609\n76068 100000\n5904 8792\n81605 100000\n82910 100000\n60111 90222\n96749 100000\n66201 99283\n62682 94063\n70409 100000\n29074 43578\n932 1377\n23659 35405\n18922 28292\n57164 85828\n56103 84232\n49116 73773\n47396 71189\n48143 72316\n70805 100000\n98660 100000\n33205 49824\n35879 53857\n5550 8273\n40608 60981\n74059 100000\n40283 60482\n19075 28521\n69519 100000\n54026 81096\n61906 92896\n66326 99469\n73626 100000\n6860 10212\n74475 100000\n21926 32830\n2220 3303\n84639 100000\n34292 51444\n69855 100000\n30873 46300\n26859 40221\n99443 100000\n25138 37633\n83097 100000\n54242 81416\n59112 88737\n50575 75970\n67077 100000\n98034 100000\n39876 59879\n15072 22500\n58764 88225\n35662 53517\n64962 97452\n29044 43531\n16543 24713\n6078 9043\n91726 100000\n33381 50092\n77500 100000\n71312 100000\n76579 100000\n40521 60849\n78741 100000\n24202 36221\n99793 100000\n4658 6955\n62011 93049\n93580 100000\n75994 100000\n27788 41634\n84135 100000\n34220 51341\n61881 92857\n2517 3747\n23149 34638\n48047 72169\n1440 2146\n15348 22916\n98914 100000\n30311 45448\n32777 49163\n7260 10828\n23212 34736\n21947 32861\n91057 100000\n88312 100000\n85668 100000\n55611 83495\n74259 100000\n57426 86216\n67537 100000\n60069 90162\n5408 8074\n32548 48815\n2899 4322\n98180 100000\n54882 82375\n22281 33367\n13450 20103\n86230 100000\n5859 8729\n822 1212\n51638 77548\n16577 24765\n85820 100000\n3448 5126\n18406 27511\n12556 18762\n62747 94158\n56748 85198\n25663 38424\n82272 100000\n74969 100000\n27610 41366\n93215 100000\n91960 100000\n12771 19100\n72986 100000\n73098 100000\n19189 28699\n13666 20424\n92341 100000\n25228 37767\n48348 72612\n64779 97180\n56120 84256\n32002 47989\n55594 83467\n75203 100000\n738 1090\n22014 32963\n77841 100000\n80260 100000\n77160 100000\n91144 100000\n45636 68521\n95362 100000\n83495 100000\n69172 100000\n60946 91468\n87504 100000\n69186 100000\n90487 100000\n494 731\n23793 35609\n67703 100000\n85174 100000\n9746 14527\n63683 95534\n96260 100000\n21092 31578\n94111 100000\n133 187\n3484 5182\n42039 63133\n36558 54863\n3457 5139\n52268 78474\n2592 3862\n45333 68069\n3963 5914\n50266 75485\n73830 100000\n8413 12537\n47151 70814\n84452 100000\n18688 27931\n52722 79146\n17999 26891\n5972 8897\n87320 100000\n9025 13455\n56086 84211\n14131 21115\n10214 15224\n98679 100000\n37589 56415\n3011 4481\n11135 16617\n88636 100000\n68178 100000\n7896 11769\n67284 100000\n55045 82618\n23812 35641\n18430 27547\n57807 86781\n58286 87503\n61177 91809\n1384 2062\n89053 100000\n82273 100000\n28414 42575\n16945 25312\n76262 100000\n95107 100000\n90719 100000\n30344 45503\n3779 5637\n96261 100000\n80656 100000\n5013 7495\n96529 100000\n42595 63982\n50296 75535\n23223 34755\n86966 100000\n66882 100000\n8286 12347\n18555 27733\n34091 51145\n74128 100000\n57021 85614\n41160 61818\n9598 14297\n99858 100000\n52249 78446\n88331 100000\n91235 100000\n93678 100000\n903 1331\n91497 100000\n5865 8736\n56813 85299\n12710 19001\n40495 60808\n43037 64648\n48138 72308\n84413 100000\n9786 14590\n68615 100000\n42208 63392\n20704 31002\n64626 96961\n55477 83283\n20079 30058\n23661 35409\n25092 37564\n96652 100000\n22184 33220\n20318 30429\n16759 25039\n32487 48729\n18029 26939\n66384 99554\n78171 100000\n18132 27103\n53960 80996\n11998 17921\n25344 37941\n39751 59698\n55279 82978\n55425 83205\n75869 100000\n80295 100000\n79724 100000\n35638 53483\n65214 97823\n6658 9907\n33262 49900\n61119 91725\n42988 64575\n30369 45531\n29989 44941\n36468 54732\n73384 100000\n42869 64389\n62183 93314\n45247 67941\n53982 81031\n75583 100000\n28364 42495\n70493 100000\n19076 28523\n47968 72055\n8308 12379\n10307 15365\n86683 100000\n68763 100000\n95626 100000\n65127 97700\n35962 53978\n92903 100000\n52017 78104\n78538 100000\n69878 100000\n75218 100000\n83621 100000\n70894 100000\n431 629\n87365 100000\n44516 66853\n91631 100000\n12069 18029\n3657 5450\n12876 19243\n78595 100000\n79216 100000\n37984 57001\n55528 83361\n61145 91765\n75261 100000\n41534 62387\n51456 77282\n67283 100000\n19799 29636\n55109 82719\n5026 7511\n72364 100000\n33540 50325\n11379 16988\n43775 65742\n40054 60139\n30249 45346\n37053 55608\n59216 88894\n15555 23235\n5925 8824\n98639 100000\n90255 100000\n26587 39809\n52456 78745\n12644 18895\n95694 100000\n32416 48616\n41018 61601\n44566 66921\n38667 58060\n84736 100000\n59791 89743\n52607 78972\n85331 100000\n37290 55958\n64084 96136\n49221 73932\n38527 57846\n3478 5173\n98032 100000\n2313 3444\n57586 86455\n72170 100000\n70566 100000\n82512 100000\n55766 83729\n2264 3371\n65782 98661\n43065 64690\n67960 100000\n13216 19754\n89415 100000\n74523 100000\n91861 100000\n77184 100000\n78744 100000\n78829 100000\n24337 36420\n84052 100000\n73659 100000\n66262 99376\n96331 100000\n26254 39307\n33479 50233\n78689 100000\n3728 5562\n30445 45652\n93209 100000\n50973 76553\n8154 12161\n98584 100000\n26871 40241\n97738 100000\n74671 100000\n34483 51736\n65764 98635\n41386 62161\n56068 84184\n56563 84922\n90827 100000\n93020 100000\n50488 75834\n99104 100000\n663 976\n21318 31914\n30047 45032\n21911 32807\n70098 100000\n86499 100000\n31789 47662\n46011 69083\n64722 97099\n26310 39391\n94158 100000\n6905 10282\n47056 70667\n81131 100000\n5371 8019\n53340 80062\n90467 100000\n59188 88852\n50425 75734\n59874 89867\n77339 100000\n74175 100000\n47163 70832\n9488 14142\n41241 61940\n39419 59205\n251 364\n15147 22614\n14498 21646\n21880 32761\n24272 36322\n66828 100000\n88170 100000\n44017 66110\n67619 100000\n19590 29315\n72870 100000\n14904 22242\n52754 79193\n33747 50638\n86789 100000\n58411 87690\n83791 100000\n4416 6596\n60466 90746\n65131 97706\n17638 26360\n25045 37494\n58271 87480\n49193 73886\n4345 6488\n68437 100000\n14704 21954\n45059 67661\n17678 26417\n12392 18520\n55657 83565\n89933 100000\n28398 42548\n68455 100000\n37117 55702\n80503 100000\n19107 28573\n4176 6236\n46888 70414\n49915 74968\n78465 100000\n53158 79783\n46851 70359\n47633 71556\n73529 100000\n67043 100000\n78827 100000\n65009 97524\n33680 50541\n29163 43706\n72328 100000\n98954 100000\n61097 91690\n89227 100000\n67094 100000\n79619 100000\n231 335\n51468 77301\n34159 51250\n2286 3405\n61304 91992\n11498 17166\n89263 100000\n51168 76846\n71335 100000\n9420 14051\n53978 81024\n98538 100000\n60770 91204\n34382 51578\n23722 35504\n47960 72043\n89264 100000\n4663 6962\n89485 100000\n33602 50419\n51747 77704\n92968 100000\n94689 100000\n81302 100000\n81827 100000\n31121 46665\n1858 2766\n76786 100000\n17108 25555\n31718 47561\n53556 80378\n53770 80705\n43231 64949\n23720 35501\n14706 21956\n56128 84268\n2604 3882\n39368 59124\n86853 100000\n72075 100000\n30939 46399\n7733 11529\n3071 4568\n45586 68443\n98314 100000\n83858 100000\n85899 100000\n73005 100000\n12601 18834\n28125 42130\n21049 31516\n76029 100000\n25338 37932\n360 527\n36412 54651\n5917 8812\n54224 81392\n13413 20051\n53491 80286\n78715 100000\n3135 4664\n79265 100000\n39826 59809\n15207 22705\n20691 30983\n26888 40263\n14322 21396\n58618 88003\n49866 74901\n3911 5833\n85767 100000\n64413 96623\n96673 100000\n63974 95974\n84494 100000\n71262 100000\n82764 100000\n72494 100000\n18115 27074\n80690 100000\n3625 5402\n23880 35737\n54539 81866\n81352 100000\n44816 67296\n74235 100000\n85615 100000\n88501 100000\n25231 37770\n58928 88469\n61975 92995\n93336 100000\n94219 100000\n87818 100000\n83940 100000\n61743 92646\n72172 100000\n16791 25088\n9529 14202\n69332 100000\n81497 100000\n50977 76559\n84037 100000\n50308 75554\n64688 97050\n84187 100000\n73123 100000\n45622 68499\n14554 21737\n85747 100000\n2514 3742\n55203 82855\n53367 80104\n35164 52776\n93875 100000\n54237 81409\n54245 81419\n45711 68636\n71460 100000\n17998 26890\n9645 14366\n37978 56992\n56198 84368\n43187 64882\n9850 14683\n42734 64183\n80320 100000\n23994 35910\n45236 67922\n39276 58981\n89453 100000\n4631 6915\n81911 100000\n35516 53301\n999 1474\n56642 85045\n88233 100000\n57417 86205\n50824 76337\n49408 74214\n77191 100000\n77810 100000\n53920 80935\n17851 26663\n92818 100000\n80973 100000\n21597 32338\n23923 35798\n27804 41656\n7909 11788\n99347 100000\n16150 24124\n5255 7850\n54387 81635\n7902 11777\n38078 57148\n12158 18169\n80297 100000\n1660 2480\n22601 33833\n16444 24564\n30669 46000\n32250 48358\n93596 100000\n18713 27969\n77691 100000\n87026 100000\n3952 5896\n89634 100000\n43333 65102\n50821 76332\n69222 100000\n37198 55824\n48587 72968\n97411 100000\n33829 50760\n74461 100000\n47620 71539\n46885 70409\n92008 100000\n27360 40979\n7820 11658\n3730 5564\n43617 65509\n30468 45687\n42496 63836\n64914 97381\n41229 61923\n74712 100000\n49238 73957\n21612 32361\n97398 100000\n87299 100000\n97840 100000\n95761 100000\n28657 42951\n6928 10320\n52533 78859\n34270 51410\n91692 100000\n80355 100000\n4479 6686\n66468 99681\n8941 13327\n52293 78507\n49608 74511\n16446 24566\n52910 79421\n66647 99950\n57148 85803\n95635 100000\n20593 30835\n78622 100000\n93371 100000\n23440 35088\n14125 21104\n82967 100000\n22408 33561\n86715 100000\n20992 31435\n2142 3193\n99706 100000\n77229 100000\n88104 100000\n28520 42745\n8947 13337\n60931 91448\n10263 15298\n91121 100000\n75249 100000\n12117 18104\n19599 29330\n8850 13189\n22821 34153\n84511 100000\n44138 66286\n69708 100000\n19211 28734\n48769 73246\n26884 40258\n96376 100000\n77459 100000\n88324 100000\n50810 76317\n11003 16422\n29502 44206\n70989 100000\n47266 70997\n51362 77139\n89403 100000\n60758 91184\n69665 100000\n29721 44543\n2124 3164\n13876 20735\n70125 100000\n15999 23903\n49659 74588\n63262 94903\n2730 4067\n64427 96643\n83250 100000\n91377 100000\n74930 100000\n8335 12419\n16813 25118\n90563 100000\n62755 94171\n79613 100000\n91376 100000\n53420 80179\n79283 100000\n25727 38515\n17886 26721\n94967 100000\n71444 100000\n35762 53675\n47717 71685\n11432 17066\n74499 100000\n45582 68436\n52059 78163\n42712 64150\n92042 100000\n57121 85763\n75295 100000\n71934 100000\n89299 100000\n81059 100000\n54468 81754\n20985 31426\n54536 81860\n62758 94176\n55690 83617\n37999 57026\n37635 56481\n70766 100000\n18579 27768\n69538 100000\n40820 61300\n35085 52651\n68424 100000\n99738 100000\n40679 61092\n50877 76411\n20113 30109\n27230 40782\n69541 100000\n5411 8080\n21698 32491\n75009 100000\n76895 100000\n11606 17326\n74987 100000\n49379 74169\n9806 14617\n60903 91409\n4769 7119\n49140 73807\n64617 96946\n75949 100000\n31869 47781\n3180 4730\n77666 100000\n96958 100000\n60238 90410\n69722 100000\n32263 48378\n45192 67859\n26615 39851\n38567 57904\n64102 96164\n47895 71945\n21667 32444\n84699 100000\n31016 46509\n27112 40608\n76930 100000\n31659 47483\n66000 98986\n13012 19445\n75005 100000\n8576 12780\n98970 100000\n22537 33740\n40342 60565\n93449 100000\n55551 83401\n37349 56042\n5321 7949\n39724 59657\n17627 26345\n57619 86503\n37801 56726\n25804 38627\n58530 87869\n28301 42399\n71853 100000\n72967 100000\n23023 34446\n56107 84239\n49954 75023\n49251 73973\n69024 100000\n40645 61039\n89200 100000\n4885 7298\n91198 100000\n45027 67613\n38344 57566\n64393 96595\n65950 98909\n94475 100000\n80721 100000\n85781 100000\n1254 1866\n84149 100000\n30170 45225\n93351 100000\n83571 100000\n79965 100000\n23108 34575\n54801 82258\n1899 2824\n64666 97016\n38432 57698\n75783 100000\n74358 100000\n36535 54833\n5985 8913\n53552 80374\n92044 100000\n10986 16396\n50778 76269\n59589 89451\n63585 95385\n17214 25723\n59426 89205\n44357 66615\n97592 100000\n34603 51923\n640 941\n54580 81928\n97381 100000\n24057 36000\n76568 100000\n17503 26166\n72272 100000\n9501 14161\n40555 60901\n26519 39705\n88497 100000\n16769 25055\n83304 100000\n45434 68218\n59414 89187\n40900 61422\n70295 100000\n38397 57646\n19804 29644\n63963 95958\n55297 83006\n23325 34904\n80445 100000\n57770 86718\n20955 31383\n50886 76424\n19471 29133\n37563 56375\n22387 33525\n57198 85881\n27897 41799\n7924 11809\n89802 100000\n97916 100000\n61297 91980\n60964 91495\n93841 100000\n23347 34941\n17691 26436\n76419 100000\n89210 100000\n47462 71289\n58709 88147\n34844 52290\n99029 100000\n68855 100000\n53116 79718\n86318 100000\n48812 73315\n45362 68108\n18874 28217\n40819 61298\n26123 39102\n60127 90248\n18428 27545\n4656 6951\n86203 100000\n94165 100000\n45462 68256\n21349 31957\n77149 100000\n91821 100000\n94761 100000\n47216 70916\n31226 46824\n5502 8203\n36048 54112\n75566 100000\n59123 88753\n19851 29711\n12713 19007\n10385 15474\n87676 100000\n72270 100000\n20162 30181\n1728 2576\n7695 11478\n28049 42018\n455 666\n25181 37700\n11293 16856\n52633 79014\n38746 58179\n16130 24094\n32000 47985\n72964 100000\n36086 54174\n14550 21731\n89588 100000\n99278 100000\n66045 99058\n47001 70584\n95123 100000\n82514 100000\n16394 24491\n87825 100000\n7085 10556\n67615 100000\n12695 18976\n10021 14942\n47977 72068\n56250 84447\n78708 100000\n79219 100000\n83368 100000\n45457 68250\n17158 25637\n93628 100000\n56919 85463\n94095 100000\n96092 100000\n85208 100000\n95542 100000\n52909 79420\n47671 71617\n66758 100000\n90828 100000\n83332 100000\n4664 6963\n16059 23988\n54574 81919\n89708 100000\n95315 100000\n32302 48439\n8845 13181\n16891 25234\n48619 73017\n91920 100000\n60703 91099\n16211 24213\n43186 64881\n81809 100000\n38349 57575\n81293 100000\n5637 8403\n42187 63356\n42678 64101\n36720 55109\n34677 52039\n91331 100000\n74441 100000\n94652 100000\n64338 96512\n34946 52437\n21292 31881\n39337 59073\n24639 36876\n30813 46209\n77275 100000\n36059 54132\n6684 9946\n17151 25627\n38684 58087\n45516 68329\n54486 81784\n33283 49932\n25438 38085\n76660 100000\n5046 7542\n99667 100000\n83294 100000\n66338 99489\n33049 49581\n9836 14660\n28674 42972\n83280 100000\n33913 50884\n64968 97462\n85460 100000\n20698 30994\n2096 3121\n95425 100000\n67685 100000\n30866 46290\n59226 88910\n36066 54143\n74004 100000\n46574 69941\n22098 33094\n66467 99679\n81187 100000\n29728 44554\n21002 31450\n97120 100000\n15854 23690\n56849 85359\n78801 100000\n55686 83612\n92929 100000\n92740 100000\n92327 100000\n53459 80239\n96563 100000\n88892 100000\n91647 100000\n97645 100000\n29773 44621\n28491 42702\n92119 100000\n97621 100000\n62480 93755\n32874 49322\n9857 14695\n50165 75344\n79376 100000\n94348 100000\n6875 10235\n83193 100000\n28080 42068\n70394 100000\n13899 20769\n38876 58388\n75900 100000\n5880 8759\n42046 63143\n69314 100000\n32106 48145\n89981 100000\n49051 73677\n4499 6716\n50234 75438\n371 543\n24669 36927\n8997 13413\n3943 5882\n50695 76144\n21861 32734\n24211 36231\n7080 10548\n61501 92291\n46358 69613\n79935 100000\n90886 100000\n43664 65581\n75913 100000\n35637 53482\n586 856\n33992 50998\n31124 46669\n28134 42143\n42804 64289\n13016 19450\n42934 64490\n33102 49662\n75327 100000\n95075 100000\n35046 52589\n25626 38362\n18280 27327\n73941 100000\n23237 34777\n2876 4285\n13821 20651\n20008 29952\n38386 57633\n95317 100000\n44886 67397\n96185 100000\n37125 55716\n21091 31577\n49605 74507\n71516 100000\n39793 59761\n84035 100000\n54905 82412\n79135 100000\n2845 4238\n74262 100000\n78088 100000\n30689 46026\n94594 100000\n87667 100000\n81141 100000\n88660 100000\n65099 97657\n58377 87637\n24474 36627\n83326 100000\n24295 36361\n11618 17344\n27373 41000\n88732 100000\n86443 100000\n24260 36306\n27903 41808\n10162 15151\n98769 100000\n87697 100000\n90911 100000\n72915 100000\n70249 100000\n7437 11099\n14785 22073\n59250 88942\n73761 100000\n2979 4433\n5831 8686\n24585 36793\n94211 100000\n26482 39653\n63605 95414\n70369 100000\n28752 43084\n52521 78841\n38330 57545\n15925 23790\n96464 100000\n24315 36392\n97939 100000\n15739 23517\n1136 1686\n1744 2598\n72794 100000\n5551 8274\n2351 3495\n38282 57469\n25287 37855\n40043 60124\n69549 100000\n21370 31988\n93923 100000\n73168 100000\n86037 100000\n59507 89327\n36782 55204\n5462 8148\n93984 100000\n82052 100000\n83756 100000\n36787 55212\n65560 98338\n37828 56765\n50245 75452\n85531 100000\n9430 14065\n9202 13718\n51132 76792\n54375 81615\n2388 3549\n99009 100000\n58654 88062\n18518 27677\n65589 98381\n48762 73238\n99911 100000\n61035 91601\n77356 100000\n14329 21408\n53107 79704\n26112 39088\n87680 100000\n24894 37266\n45229 67912\n51940 77991\n81144 100000\n94271 100000\n64904 97367\n55282 82983\n95646 100000\n99350 100000\n96059 100000\n31877 47792\n28591 42849\n28919 43342\n11368 16969\n32374 48551\n82876 100000\n33154 49742\n68150 100000\n98850 100000\n11361 16960\n82859 100000\n45017 67596\n17765 26536\n66410 99588\n77747 100000\n85084 100000\n95018 100000\n43615 65506\n83782 100000\n43089 64723\n55431 83213\n22586 33813\n26127 39108\n39853 59848\n49982 75068\n78954 100000\n50097 75246\n87439 100000\n1938 2881\n70254 100000\n35917 53909\n515 762\n75559 100000\n48760 73235\n87993 100000\n30517 45764\n96835 100000\n22707 33989\n49532 74394\n44494 66822\n91743 100000\n9753 14538\n41141 61788\n24726 37013\n1039 1537\n63165 94762\n73741 100000\n53373 80113\n14535 21709\n10619 15824\n69748 100000\n45765 68715\n73770 100000\n23962 35862\n76133 100000\n475 700\n34291 51442\n41772 62738\n31892 47817\n60217 90380\n58256 87456\n53118 79721\n67549 100000\n47101 70736\n83812 100000\n33871 50825\n87518 100000\n33786 50699\n31999 47984\n97187 100000\n54718 82134\n38400 57651\n51732 77684\n4644 6934\n1970 2924\n35224 52866\n66813 100000\n52539 78866\n53486 80278\n68427 100000\n35793 53723\n55512 83336\n80362 100000\n56529 84872\n12412 18545\n435 634\n15662 23404\n16786 25081\n91460 100000\n69641 100000\n61754 92661\n18356 27439\n97346 100000\n23978 35889\n77889 100000\n57537 86380\n64109 96174\n71149 100000\n95581 100000\n90812 100000\n64518 96790\n85745 100000\n94558 100000\n69201 100000\n49197 73891\n40531 60866\n25033 37478\n46565 69928\n12896 19273\n9298 13871\n10794 16106\n40852 61348\n634 931\n84305 100000\n44187 66361\n72889 100000\n41491 62314\n46937 70482\n74858 100000\n56712 85150\n3482 5180\n69845 100000\n50199 75390\n44870 67374\n5690 8485\n48346 72608\n88219 100000\n17890 26726\n43969 66040\n40881 61394\n74643 100000\n80187 100000\n83334 100000\n43869 65882\n26856 40217\n73448 100000\n80852 100000\n83252 100000\n30156 45201\n11435 17072\n99489 100000\n65602 98399\n25254 37808\n65324 97989\n50048 75169\n91209 100000\n27560 41292\n46414 69695\n1925 2862\n42961 64533\n12320 18408\n78415 100000\n2574 3831\n63120 94693\n90693 100000\n90674 100000\n20128 30132\n68811 100000\n27278 40855\n20399 30552\n82621 100000\n3822 5707\n50521 75889\n63595 95399\n58880 88397\n11264 16811\n2374 3530\n30338 45493\n51696 77633\n23963 35864\n43490 65326\n3278 4875\n81797 100000\n58496 87816\n13538 20228\n43035 64644\n84814 100000\n68700 100000\n66449 99650\n13285 19864\n58542 87888\n53136 79751\n44126 66266\n67108 100000\n80130 100000\n93410 100000\n41619 62512\n91501 100000\n99456 100000\n65343 98018\n51304 77053\n39717 59647\n33000 49509\n15028 22431\n52953 79489\n33527 50306\n61624 92468\n9472 14117\n18007 26906\n17363 25944\n91404 100000\n75981 100000\n57987 87053\n28055 42027\n10853 16193\n2939 4376\n5500 8201\n67051 100000\n87932 100000\n37627 56470\n7995 11921\n48330 72589\n21221 31773\n9886 14739\n19346 28943\n37489 56266\n4939 7379\n93556 100000\n39973 60022\n21317 31913\n22750 34055\n70347 100000\n77667 100000\n78004 100000\n43947 66002\n12467 18630\n40463 60756\n37175 55788\n94491 100000\n22867 34219\n26072 39025\n48220 72432\n43565 65430\n308 448\n45386 68146\n49154 73828\n45841 68831\n35162 52774\n23587 35295\n74467 100000\n31173 46742\n74967 100000\n77440 100000\n5099 7622\n11358 16957\n3749 5592\n85679 100000\n87867 100000\n68569 100000\n50929 76483\n59826 89796\n31677 47506\n42276 63502\n5701 8502\n46625 70016\n87288 100000\n79089 100000\n81143 100000\n88906 100000\n79382 100000\n29085 43593\n73530 100000\n34538 51821\n61755 92663\n46138 69274\n39606 59485\n55354 83094\n76281 100000\n98428 100000\n69981 100000\n14858 22176\n22554 33765\n15730 23502\n68483 100000\n44482 66802\n49334 74099\n70591 100000\n93272 100000\n80745 100000\n40721 61154\n24369 36470\n66698 100000\n76102 100000\n32685 49027\n19275 28832\n9757 14545\n92570 100000\n93047 100000\n47000 70582\n60911 91421\n11282 16840\n45876 68880\n40865 61369\n41528 62375\n30158 45203\n19691 29473\n70402 100000\n45996 69060\n3641 5424\n99140 100000\n39433 59225\n94268 100000\n71831 100000\n69729 100000\n6578 9796\n71053 100000\n6576 9793\n5290 7905\n36236 54397\n20350 30478\n29356 43994\n95081 100000\n69951 100000\n51907 77942\n1552 2321\n1533 2291\n11136 16619\n89259 100000\n62805 94243\n72544 100000\n33947 50931\n34885 52345\n50382 75663\n82760 100000\n93499 100000\n9732 14504\n54998 82552\n30687 46023\n9011 13432\n26897 40278\n52905 79413\n55604 83484\n82777 100000\n62452 93711\n46742 70192\n52825 79294\n29138 43667\n63987 95992\n32701 49050\n16299 24344\n51463 77293\n71448 100000\n1011 1493\n712 1051\n80283 100000\n6267 9328\n57077 85694\n78710 100000\n3895 5810\n62867 94336\n32554 48826\n82582 100000\n2585 3851\n93542 100000\n46890 70417\n13934 20817\n64958 97446\n57331 86078\n89964 100000\n71554 100000\n95442 100000\n59181 88841\n6621 9856\n84465 100000\n53793 80742\n66920 100000\n52325 78555\n18020 26927\n4652 6945\n11294 16857\n15807 23621\n80358 100000\n44975 67531\n52466 78758\n21218 31767\n29032 43512\n63145 94735\n65923 98870\n23552 35246\n50034 75150\n60187 90338\n14043 20980\n92962 100000\n36334 54538\n87305 100000\n90077 100000\n14531 21702\n41531 62381\n60867 91353\n15211 22711\n4728 7057\n99375 100000\n7129 10625\n15381 22970\n69266 100000\n21795 32629\n29802 44665\n71507 100000\n55516 83341\n94275 100000\n41436 62236\n13112 19599\n47684 71636\n55623 83515\n40754 61203\n89622 100000\n77012 100000\n55941 83995\n55016 82578\n597 871\n41662 62576\n72032 100000\n86496 100000\n11209 16725\n41643 62545\n409 598\n53219 79879\n58851 88357\n66254 99364\n10594 15786\n10658 15881\n18826 28144\n8089 12061\n77807 100000\n87410 100000\n72375 100000\n33865 50817\n79793 100000\n34212 51330\n78861 100000\n15051 22468\n37650 56502\n88964 100000\n22784 34098\n49801 74806\n72338 100000\n34044 51082\n22038 32997\n97004 100000\n13187 19711\n70833 100000\n23250 34795\n11058 16505\n61777 92698\n36077 54161\n37884 56849\n31270 46889\n77935 100000\n70095 100000\n67155 100000\n31636 47447\n50457 75782\n50947 76511\n35005 52530\n96543 100000\n19515 29200\n56082 84205\n14422 21541\n86352 100000\n30108 45126\n54678 82073\n37413 56149\n38450 57724\n62644 94005\n71661 100000\n79661 100000\n4544 6793\n33394 50108\n23989 35902\n41586 62460\n74835 100000\n44928 67458\n51021 76624\n35344 53043\n72354 100000\n75868 100000\n31842 47739\n22670 33935\n28199 42248\n10487 15623\n77975 100000\n46277 69488\n41636 62535\n71872 100000\n52494 78798\n26874 40244\n20250 30315\n73200 100000\n37098 55673\n36183 54320\n9559 14240\n4117 6143\n7335 10946\n71755 100000\n45162 67808\n98804 100000\n29910 44822\n50991 76577\n76185 100000\n3266 4858\n19624 29369\n95516 100000\n99308 100000\n52336 78572\n63692 95547\n43264 64999\n19033 28456\n27947 41871\n86340 100000\n7760 11567\n11364 16964\n30352 45512\n89047 100000\n7591 11328\n31329 46980\n55330 83060\n47629 71551\n60092 90195\n87843 100000\n99024 100000\n50068 75201\n36116 54219\n26399 39528\n12684 18958\n24989 37415\n14005 20924\n30268 45377\n69247 100000\n71847 100000\n52942 79473\n7494 11182\n41542 62400\n51048 76662\n9143 13629\n94588 100000\n10814 16134\n76373 100000\n57684 86596\n87394 100000\n79784 100000\n61551 92363\n78697 100000\n54762 82201\n6584 9803\n96263 100000\n54116 81238\n54154 81293\n80033 100000\n94071 100000\n88704 100000\n15557 23237\n93539 100000\n13777 20584\n90462 100000\n70114 100000\n3954 5900\n78891 100000\n32619 48923\n60450 90722\n45102 67721\n98950 100000\n20611 30859\n20576 30808\n23322 34900\n37223 55863\n64676 97034\n27790 41637\n83828 100000\n90159 100000\n21816 32663\n95527 100000\n8441 12579\n41403 62187\n92100 100000\n86938 100000\n47299 71040\n18673 27906\n71117 100000\n17478 26129\n9594 14290\n66994 100000\n49819 74832\n91810 100000\n86725 100000\n16547 24718\n15038 22447\n47209 70906\n45139 67778\n4718 7041\n75589 100000\n69000 100000\n55428 83210\n90889 100000\n10216 15226\n60133 90259\n32535 48796\n7528 11231\n35676 53538\n79776 100000\n84485 100000\n36845 55303\n52628 79006\n71336 100000\n3803 5678\n99846 100000\n95384 100000\n39078 58688\n82629 100000\n92584 100000\n10170 15163\n66419 99603\n38544 57871\n96038 100000\n22569 33786\n49825 74841\n10432 15543\n62390 93624\n65218 97829\n59291 89006\n16664 24892\n22152 33173\n66962 100000\n91188 100000\n3975 5931\n7609 11353\n83380 100000\n66268 99384\n84568 100000\n56355 84615\n64387 96587\n83562 100000\n23800 35619\n91686 100000\n98421 100000\n44614 66990\n24831 37169\n242 351\n55736 83687\n72799 100000\n19499 29173\n86942 100000\n4219 6298\n42937 64495\n91929 100000\n45642 68531\n46829 70325\n18498 27649\n44671 67076\n24110 36075\n72508 100000\n31188 46766\n61916 92912\n75794 100000\n84244 100000\n72228 100000\n20320 30433\n12367 18478\n42687 64113\n17596 26300\n97992 100000\n51440 77260\n75904 100000\n61513 92309\n5139 7686\n50359 75631\n60290 90481\n1306 1947\n82316 100000\n20238 30297\n1814 2700\n49137 73804\n44433 66733\n36681 55052\n77073 100000\n30966 46436\n3578 5326\n6280 9345\n30511 45755\n50774 76263\n61384 92109\n58807 88289\n65446 98169\n72367 100000\n89998 100000\n65762 98632\n48146 72319\n59165 88816\n58634 88030\n63088 94645\n90751 100000\n141 197\n96276 100000\n38144 57251\n26359 39466\n39622 59509\n27767 41602\n26663 39926\n53051 79627\n61833 92781\n35973 53997\n35610 53441\n28580 42830\n76174 100000\n45846 68836\n36529 54823\n33703 50573\n10881 16234\n39022 58604\n27867 41751\n65705 98544\n74347 100000\n33243 49874\n26010 38938\n27021 40471\n3096 4605\n78149 100000\n65945 98902\n57457 86258\n96153 100000\n21687 32474\n63299 94958\n55523 83351\n27823 41682\n25263 37821\n60622 90982\n29917 44831\n94314 100000\n30302 45433\n67825 100000\n89003 100000\n68451 100000\n92788 100000\n48326 72584\n35625 53463\n25266 37826\n67716 100000\n67999 100000\n50851 76375\n97832 100000\n48253 72481\n85966 100000\n43863 65873\n72704 100000\n82227 100000\n88228 100000\n46709 70145\n54639 82014\n14972 22344\n58832 88327\n69198 100000\n23046 34480\n77153 100000\n3392 5041\n38576 57920\n27908 41816\n83345 100000\n86161 100000\n75750 100000\n60115 90230\n26700 39981\n38216 57364\n75241 100000\n48265 72502\n30100 45111\n46583 69954\n36815 55258\n57455 86254\n86046 100000\n571 838\n70075 100000\n79366 100000\n54609 81969\n25178 37695\n60689 91076\n91467 100000\n63945 95931\n80845 100000\n97957 100000\n95686 100000\n40918 61444\n42107 63237\n61684 92561\n17916 26770\n47757 71747\n94043 100000\n74478 100000\n71566 100000\n17735 26498\n54466 81752\n88453 100000\n25469 38131\n33604 50422\n3595 5353\n96124 100000\n724 1069\n37733 56627\n77992 100000\n17312 25864\n39053 58651\n99363 100000\n2000 2968\n37881 56844\n4924 7355\n6181 9201\n8264 12315\n97745 100000\n87036 100000\n80823 100000\n35688 53559\n34713 52096\n69443 100000\n56934 85486\n49856 74888\n62041 93098\n218 318\n90020 100000\n81462 100000\n37713 56596\n27084 40566\n31105 46640\n1907 2835\n86128 100000\n82350 100000\n90505 100000\n25203 37732\n52200 78375\n42955 64523\n40400 60657\n5300 7919\n69284 100000\n17149 25625\n23678 35433\n18334 27406\n54970 82508\n81816 100000\n99750 100000\n81760 100000\n95943 100000\n84615 100000\n96238 100000\n33883 50841\n63751 95635\n22517 33713\n3219 4789\n21225 31779\n54126 81255\n97073 100000\n35419 53152\n78681 100000\n59325 89054\n21834 32692\n22282 33368\n82153 100000\n78844 100000\n71618 100000\n66783 100000\n96955 100000\n46282 69497\n82346 100000\n22904 34271\n91237 100000\n49617 74526\n3300 4903\n63916 95890\n45917 68942\n75384 100000\n96347 100000\n77285 100000\n43822 65813\n97976 100000\n64600 96921\n69973 100000\n2540 3782\n31417 47117\n82738 100000\n81454 100000\n8881 13237\n37163 55771\n30641 45953\n52128 78267\n46470 69779\n90557 100000\n68595 100000\n55819 83815\n27872 41759\n75815 100000\n10318 15384\n91661 100000\n63710 95571\n52562 78900\n89612 100000\n50538 75917\n37820 56754\n76912 100000\n5177 7737\n58856 88364\n29862 44750\n3994 5957\n69006 100000\n61735 92634\n64871 97317\n91762 100000\n17365 25947\n93044 100000\n60158 90296\n40626 61013\n74026 100000\n80112 100000\n51046 76658\n34347 51521\n24826 37161\n35447 53197\n9666 14399\n8541 12726\n76796 100000\n56180 84342\n39593 59466\n22978 34384\n63934 95915\n55581 83446\n18236 27261\n80257 100000\n20599 30842\n94300 100000\n48038 72157\n3299 4901\n48569 72940\n47420 71222\n16309 24360\n49613 74519\n60585 90925\n27711 41519\n32294 48425\n40075 60171\n38586 57934\n45804 68776\n402 588\n45365 68112\n79926 100000\n86195 100000\n83281 100000\n71242 100000\n14782 22067\n51450 77276\n6073 9038\n93842 100000\n8560 12753\n12879 19247\n87099 100000\n59990 90047\n18571 27754\n68890 100000\n13254 19812\n58356 87603\n26443 39591\n47648 71580\n96316 100000\n71963 100000\n55119 82730\n4772 7124\n10452 15572\n62874 94344\n37702 56579\n35067 52625\n53565 80391\n37551 56358\n86891 100000\n99699 100000\n62288 93477\n5683 8472\n93843 100000\n19854 29714\n55654 83560\n50548 75933\n25905 38773\n25282 37847\n78862 100000\n2988 4447\n76490 100000\n4680 6987\n44697 67118\n77983 100000\n27375 41004\n47393 71186\n62049 93112\n88872 100000\n62232 93389\n53883 80881\n40744 61188\n65452 98176\n98219 100000\n17107 25553\n88269 100000\n11138 16623\n44094 66223\n16276 24310\n60288 90478\n74757 100000\n6092 9062\n67337 100000\n46028 69109\n69552 100000\n1486 2218\n33198 49812\n70390 100000\n28624 42902\n54818 82282\n47689 71643\n27764 41598\n96133 100000\n257 371\n8968 13368\n1199 1786\n28312 42415\n14865 22188\n22935 34319\n46378 69640\n54662 82050\n25744 38541\n98892 100000\n70567 100000\n38226 57381\n61728 92625\n15231 22743\n58697 88126\n61399 92130\n57960 87008\n1656 2474\n50542 75924\n73759 100000\n28283 42374\n78988 100000\n98907 100000\n63752 95636\n17653 26381\n59721 89641\n25391 38013\n99803 100000\n94864 100000\n78009 100000\n11852 17704\n20297 30395\n74922 100000\n79954 100000\n43376 65166\n83880 100000\n40310 60523\n76981 100000\n30124 45150\n3708 5528\n46080 69185\n24106 36069\n54010 81070\n45154 67798\n47171 70845\n45638 68525\n48070 72204\n52484 78784\n33910 50879\n42860 64374\n78026 100000\n25595 38320\n41191 61867\n50968 76545\n40247 60427\n68440 100000\n39582 59447\n29467 44155\n34234 51360\n18432 27551\n52544 78874\n29631 44405\n25296 37867\n43377 65167\n87508 100000\n70616 100000\n45685 68599\n83632 100000\n66235 99331\n39650 59548\n22301 33396\n62914 94403\n98626 100000\n42247 63458\n59925 89946\n28463 42657\n13347 19949\n38273 57456\n71390 100000\n41494 62319\n79581 100000\n64111 96177\n96405 100000\n61805 92740\n3166 4712\n57136 85785\n63101 94663\n5922 8819\n82578 100000\n20919 31326\n71278 100000\n52423 78696\n74706 100000\n6901 10277\n3059 4549\n43188 64884\n98855 100000\n17148 25623\n70547 100000\n40952 61498\n55484 83292\n98154 100000\n68266 100000\n41999 63075\n95591 100000\n29896 44803\n84685 100000\n69917 100000\n17472 26119\n92608 100000\n9423 14055\n3462 5147\n296 429\n11444 17086\n70615 100000\n22543 33750\n77804 100000\n21890 32775\n16680 24917\n41632 62531\n91225 100000\n56494 84818\n68524 100000\n32254 48365\n23998 35916\n51404 77208\n55874 83895\n40178 60318\n26873 40243\n39682 59595\n89734 100000\n78445 100000\n18687 27929\n4735 7068\n13412 20050\n83818 100000\n59249 88940\n64490 96748\n32295 48427\n40617 60996\n41972 63040\n9371 13978\n88226 100000\n12734 19041\n97103 100000\n5665 8444\n53847 80826\n19935 29834\n23619 35342\n85499 100000\n91491 100000\n34363 51546\n48033 72151\n12588 18813\n34577 51883\n63021 94555\n96577 100000\n38303 57502\n26709 39991\n38842 58332\n98235 100000\n61080 91670\n13176 19695\n36545 54845\n47649 71581\n99719 100000\n56863 85379\n27128 40632\n44770 67228\n89068 100000\n82270 100000\n40878 61389\n98682 100000\n73699 100000\n53602 80453\n13203 19735\n46314 69548\n16677 24912\n28508 42726\n94619 100000\n41516 62359\n78652 100000\n32195 48281\n10691 15934\n48643 73056\n94783 100000\n70808 100000\n29891 44796\n23509 35186\n37826 56762\n13771 20574\n82229 100000\n65695 98528\n15826 23651\n10704 15957\n89632 100000\n69628 100000\n74179 100000\n87761 100000\n49538 74402\n5869 8743\n16199 24197\n34139 51217\n24723 37009\n5559 8286\n98336 100000\n39754 59702\n42828 64330\n8589 12798\n1026 1516\n2128 3171\n41585 62458\n60790 91236\n87908 100000\n74960 100000\n25361 37967\n42176 63340\n36506 54786\n94421 100000\n49325 74086\n91432 100000\n36823 55269\n56793 85269\n41052 61656\n37615 56454\n75189 100000\n84865 100000\n86750 100000\n86060 100000\n78612 100000\n93260 100000\n49217 73925\n99676 100000\n11426 17055\n31908 47839\n62919 94411\n89056 100000\n72564 100000\n74324 100000\n39285 58995\n2050 3045\n77124 100000\n89017 100000\n93426 100000\n18340 27414\n33093 49649\n62606 93948\n3182 4734\n20719 31026\n52734 79164\n69905 100000\n64326 96494\n78222 100000\n65888 98821\n31074 46594\n91426 100000\n24690 36960\n67874 100000\n70886 100000\n78658 100000\n76100 100000\n4306 6430\n46591 69964\n87168 100000\n55890 83917\n53110 79708\n94372 100000\n52099 78221\n36373 54594\n41858 62869\n7002 10429\n63256 94893\n97507 100000\n88664 100000\n3990 5950\n93489 100000\n73769 100000\n13740 20532\n25153 37656\n62549 93859\n62591 93922\n98893 100000\n95580 100000\n22645 33897\n55965 84031\n67992 100000\n22736 34033\n24715 36998\n24061 36006\n76773 100000\n63006 94534\n4064 6059\n6903 10280\n71771 100000\n6535 9732\n90711 100000\n57918 86947\n92760 100000\n65437 98155\n73717 100000\n98211 100000\n68682 100000\n36739 55137\n22932 34314\n94014 100000\n98212 100000\n94702 100000\n26509 39691\n76970 100000\n67089 100000\n24621 36848\n95887 100000\n3264 4854\n24522 36699\n99406 100000\n24776 37084\n97218 100000\n64232 96357\n19767 29589\n4949 7394\n50320 75573\n35036 52576\n66252 99361\n49283 74022\n71081 100000\n79782 100000\n22041 33001\n66868 100000\n13855 20701\n87602 100000\n50392 75679\n77951 100000\n34321 51486\n87376 100000\n77601 100000\n79196 100000\n60742 91158\n19259 28807\n91475 100000\n93642 100000\n95510 100000\n51483 77322\n72184 100000\n94674 100000\n72931 100000\n74907 100000\n72486 100000\n75628 100000\n93359 100000\n12930 19320\n8394 12510\n72079 100000\n72848 100000\n19514 29198\n38836 58322\n11226 16750\n82688 100000\n71578 100000\n42261 63478\n90317 100000\n9996 14905\n92006 100000\n39262 58955\n48749 73219\n4612 6888\n76621 100000\n76922 100000\n77606 100000\n9018 13444\n66778 100000\n54836 82307\n58875 88388\n33862 50812\n29221 43797\n61317 92011\n68998 100000\n11055 16500\n18453 27580\n80583 100000\n81972 100000\n84001 100000\n91820 100000\n45069 67675\n36762 55174\n86278 100000\n63874 95826\n27493 41184\n96411 100000\n33372 50080\n81557 100000\n45283 67993\n6273 9336\n99298 100000\n41286 62008\n97102 100000\n68443 100000\n36324 54524\n18273 27318\n21067 31542\n41908 62943\n45727 68659\n4372 6527\n64991 97499\n63685 95537\n94540 100000\n91502 100000\n91836 100000\n38401 57652\n23217 34744\n18223 27241\n30554 45819\n98752 100000\n74261 100000\n12755 19076\n61690 92568\n49530 74391\n2992 4454\n51194 76885\n88622 100000\n53043 79617\n7522 11222\n45544 68371\n91297 100000\n4130 6164\n44541 66888\n51964 78027\n62405 93646\n39149 58795\n17717 26471\n84064 100000\n57097 85727\n93167 100000\n73202 100000\n86901 100000\n88840 100000\n16313 24365\n7095 10573\n96816 100000\n32594 48887\n34705 52081\n43496 65333\n58507 87833\n22955 34348\n37912 56889\n50289 75523\n29140 43670\n987 1459\n62671 94045\n87014 100000\n24279 36335\n33549 50338\n93470 100000\n72960 100000\n58127 87263\n29951 44884\n38009 57043\n71306 100000\n72512 100000\n94164 100000\n76380 100000\n42660 64076\n13142 19644\n5599 8343\n63777 95677\n22786 34101\n12691 18970\n8133 12125\n26795 40126\n71855 100000\n50386 75669\n93526 100000\n38524 57842\n79484 100000\n89261 100000\n67673 100000\n41976 63045\n77375 100000\n17260 25788\n54542 81870\n9506 14169\n20038 29998\n9758 14547\n958 1418\n59665 89562\n24278 36333\n21578 32310\n94610 100000\n31289 46921\n94240 100000\n64201 96307\n32436 48649\n18074 27010\n99748 100000\n98108 100000\n98975 100000\n60660 91034\n45488 68289\n15726 23497\n6663 9916\n54482 81777\n44275 66490\n45940 68977\n67688 100000\n10599 15793\n9546 14223\n42518 63866\n63527 95299\n82058 100000\n34333 51503\n98990 100000\n84606 100000\n38060 57117\n9997 14906\n65078 97627\n82632 100000\n14617 21826\n89640 100000\n26059 39006\n80906 100000\n44716 67147\n62071 93142\n2246 3345\n10102 15064\n79140 100000\n54855 82334\n47276 71011\n8959 13355\n51787 77768\n86883 100000\n48835 73348\n98247 100000\n83115 100000\n56130 84270\n2372 3527\n37629 56472\n60359 90583\n8414 12538\n50389 75675\n83613 100000\n10120 15091\n39079 58690\n60000 90061\n44304 66531\n23869 35719\n43336 65108\n82850 100000\n58751 88208\n66662 99972\n6276 9340\n93319 100000\n17677 26415\n49145 73815\n3670 5471\n32317 48463\n13031 19473\n92539 100000\n56673 85091\n64152 96237\n78016 100000\n63801 95715\n89785 100000\n73891 100000\n40712 61142\n16302 24348\n89392 100000\n39253 58941\n85612 100000\n75046 100000\n50202 75394\n1317 1963\n84676 100000\n15899 23753\n19381 28996\n12846 19199\n67584 100000\n35024 52557\n71520 100000\n88059 100000\n80787 100000\n54110 81229\n67541 100000\n60239 90411\n16540 24709\n72764 100000\n8611 12832\n86835 100000\n17651 26379\n90893 100000\n60040 90120\n17011 25414\n74303 100000\n864 1270\n34377 51570\n62402 93643\n59740 89669\n77780 100000\n60353 90574\n79194 100000\n91252 100000\n26050 38991\n14803 22101\n21160 31681\n62714 94109\n28006 41955\n25365 37973\n31950 47906\n71977 100000\n84111 100000\n23765 35565\n58519 87853\n7737 11535\n75495 100000\n83819 100000\n38359 57592\n82834 100000\n21661 32436\n8313 12386\n62882 94356\n88842 100000\n4328 6464\n48683 73117\n9310 13891\n43313 65075\n24291 36354\n41322 62068\n10920 16293\n28309 42412\n43633 65535\n23482 35148\n19575 29291\n17342 25911\n83175 100000\n95077 100000\n5372 8021\n55378 83131\n94736 100000\n65417 98128\n25522 38208\n67527 100000\n81298 100000\n71866 100000\n86956 100000\n57046 85650\n91999 100000\n90057 100000\n13337 19935\n96659 100000\n69856 100000\n58822 88312\n74040 100000\n71223 100000\n37864 56818\n11008 16430\n84449 100000\n36936 55431\n12372 18486\n1920 2855\n60100 90205\n41522 62368\n37154 55757\n57509 86338\n36596 54918\n92798 100000\n8888 13246\n56530 84874\n57820 86799\n65292 97941\n84416 100000\n54258 81440\n13729 20514\n12728 19031\n38337 57556\n79377 100000\n85925 100000\n77455 100000\n37995 57018\n12231 18277\n43887 65909\n12505 18685\n38412 57670\n29736 44565\n90443 100000\n74632 100000\n36400 54631\n15904 23761\n26018 38948\n86800 100000\n65792 98674\n9954 14846\n13314 19903\n36583 54898\n75975 100000\n38580 57925\n80969 100000\n95736 100000\n34654 52000\n44296 66519\n89974 100000\n83831 100000\n5806 8651\n88029 100000\n88051 100000\n38438 57707\n5460 8144\n58659 88070\n72962 100000\n11046 16487\n97965 100000\n72224 100000\n55118 82729\n54473 81763\n80019 100000\n71485 100000\n31225 46823\n75777 100000\n78303 100000\n89304 100000\n29133 43659\n15390 22982\n84422 100000\n87113 100000\n2724 4058\n84724 100000\n59546 89384\n95712 100000\n52486 78786\n73062 100000\n74367 100000\n64513 96783\n18557 27736\n19350 28949\n56640 85041\n80504 100000\n45978 69033\n42675 64097\n91195 100000\n87768 100000\n75945 100000\n44392 66669\n34716 52100\n92675 100000\n64721 97097\n64022 96046\n17379 25969\n85987 100000\n2909 4337\n84466 100000\n38648 58030\n62320 93524\n81133 100000\n1915 2846\n43291 65041\n33120 49688\n53274 79962\n5585 8323\n39035 58622\n60153 90287\n78324 100000\n8980 13386\n87946 100000\n3174 4722\n19852 29712\n46995 70574\n95525 100000\n97363 100000\n75630 100000\n22324 33432\n63635 95458\n78152 100000\n10746 16029\n6775 10083\n81891 100000\n42723 64167\n88741 100000\n71666 100000\n82986 100000\n2274 3387\n63612 95424\n91477 100000\n40052 60136\n5569 8300\n14732 21993\n85984 100000\n92587 100000\n11353 16948\n92377 100000\n24681 36947\n28261 42341\n55652 83556\n34975 52484\n4836 7221\n22469 33646\n82984 100000\n29599 44355\n80440 100000\n32762 49140\n27142 40651\n77332 100000\n5749 8568\n69762 100000\n3040 4522\n38202 57339\n23441 35090\n50823 76336\n11752 17547\n72346 100000\n20053 30020\n58155 87303\n83504 100000\n14761 22038\n76988 100000\n37360 56063\n65644 98452\n53487 80280\n59467 89266\n29168 43715\n53102 79696\n51728 77679\n25685 38456\n76992 100000\n92541 100000\n4260 6359\n70764 100000\n19584 29304\n3145 4679\n74552 100000\n98056 100000\n25602 38331\n63473 95217\n98389 100000\n39591 59462\n45138 67776\n66903 100000\n63851 95789\n12567 18778\n24906 37286\n38996 58566\n5618 8370\n22716 34005\n74162 100000\n63822 95750\n23473 35137\n55545 83392\n47585 71480\n31498 47234\n93059 100000\n53989 81039\n53717 80621\n64432 96651\n18154 27138\n46868 70383\n29893 44799\n34400 51607\n28709 43022\n60098 90201\n59272 88976\n45619 68496\n40915 61440\n6650 9896\n89580 100000\n69331 100000\n96298 100000\n30456 45671\n613 896\n55765 83728\n90265 100000\n63653 95489\n87943 100000\n83975 100000\n84610 100000\n11847 17698\n56299 84525\n77008 100000\n9235 13773\n24689 36958\n1784 2658\n13614 20346\n27017 40466\n13005 19436\n83369 100000\n30013 44980\n66223 99315\n68974 100000\n66403 99578\n4863 7264\n75229 100000\n38327 57540\n79402 100000\n31563 47337\n47939 72010\n24486 36643\n1071 1585\n51045 76656\n39539 59385\n69315 100000\n12260 18315\n1428 2127\n79510 100000\n96868 100000\n5343 7980\n67593 100000\n29464 44152\n75018 100000\n65949 98907\n37119 55706\n50629 76051\n21556 32276\n35910 53900\n65418 98129\n80067 100000\n33210 49831\n86114 100000\n41327 62075\n21541 32252\n4254 6348\n5358 8001\n4879 7287\n16579 24767\n98916 100000\n90510 100000\n45906 68926\n60245 90419\n30586 45865\n76381 100000\n33938 50921\n82245 100000\n95739 100000\n22847 34188\n10264 15300\n87271 100000\n86339 100000\n84023 100000\n14495 21642\n21230 31786\n83203 100000\n66051 99066\n13503 20177\n9686 14430\n30858 46278\n5085 7603\n17465 26108\n68267 100000\n79007 100000\n42389 63680\n5007 7485\n90413 100000\n59661 89556\n91440 100000\n41269 61986\n18640 27857\n45833 68820\n71562 100000\n82237 100000\n35863 53830\n81904 100000\n14681 21926\n87960 100000\n67775 100000\n84188 100000\n89408 100000\n70820 100000\n66663 99973\n8443 12582\n73113 100000\n92194 100000\n73432 100000\n2588 3855\n16463 24591\n48173 72360\n45317 68044\n62180 93310\n25491 38161\n68004 100000\n74562 100000\n25139 37634\n93221 100000\n81433 100000\n50387 75671\n84362 100000\n68282 100000\n62559 93873\n61738 92637\n34721 52110\n6748 10043\n65279 97918\n27936 41856\n79082 100000\n89909 100000\n13371 19987\n49523 74382\n15781 23582\n3693 5506\n35356 53058\n89955 100000\n65497 98247\n39331 59064\n757 1118\n67295 100000\n70412 100000\n53541 80359\n68775 100000\n68056 100000\n94553 100000\n45322 68052\n33523 50299\n76094 100000\n38245 57413\n58923 88463\n28741 43069\n22514 33708\n57342 86096\n17037 25448\n87528 100000\n5370 8018\n31085 46611\n35101 52679\n62513 93804\n73242 100000\n14714 21967\n49320 74080\n23979 35890\n83050 100000\n15451 23072\n40759 61208\n65315 97977\n29253 43842\n77128 100000\n19018 28436\n69193 100000\n4765 7114\n98187 100000\n74468 100000\n36878 55346\n97098 100000\n98721 100000\n16962 25336\n6611 9843\n45459 68252\n57567 86426\n25510 38189\n58335 87574\n27422 41073\n74400 100000\n16506 24658\n99725 100000\n84916 100000\n46079 69183\n24738 37030\n10346 15424\n71946 100000\n91109 100000\n96176 100000\n90723 100000\n33596 50411\n50086 75230\n87931 100000\n37064 55623\n58105 87230\n71829 100000\n74631 100000\n60580 90918\n5180 7743\n24482 36637\n64343 96519\n27517 41225\n52094 78215\n16290 24330\n78981 100000\n8067 12026\n29696 44509\n13110 19596\n23832 35669\n67000 100000\n40287 60489\n25199 37728\n53768 80702\n29314 43935\n43334 65104\n12091 18063\n20776 31114\n27866 41750\n77056 100000\n51654 77571\n12902 19279\n31713 47555\n97366 100000\n78342 100000\n16820 25128\n98600 100000\n32097 48131\n46973 70536\n36597 54919\n34463 51706\n24649 36891\n67807 100000\n83204 100000\n18368 27454\n84308 100000\n20477 30659\n94902 100000\n3375 5015\n23071 34515\n90554 100000\n68318 100000\n72498 100000\n14577 21767\n92690 100000\n28174 42208\n32348 48510\n36703 55085\n62485 93763\n94002 100000\n91037 100000\n84649 100000\n54252 81431\n28025 41984\n20874 31261\n52097 78218\n26354 39460\n72705 100000\n25300 37873\n2991 4452\n80990 100000\n98033 100000\n86763 100000\n37683 56554\n19980 29904\n24481 36636\n13489 20159\n61751 92656\n94256 100000\n61098 91691\n57614 86494\n66584 99857\n45652 68548\n9799 14606\n88296 100000\n65955 98917\n32162 48232\n3058 4548\n36844 55301\n81835 100000\n98509 100000\n79227 100000\n73419 100000\n38119 57210\n26352 39457\n18067 26997\n83109 100000\n97477 100000\n77260 100000\n55266 82957\n80964 100000\n35579 53393\n4004 5972\n34458 51699\n4014 5987\n78045 100000\n81355 100000\n30716 46063\n78072 100000\n13183 19704\n92174 100000\n43112 64760\n44603 66974\n98755 100000\n95122 100000\n7535 11241\n58279 87491\n17115 25564\n74042 100000\n26285 39349\n68828 100000\n58713 88154\n29933 44858\n19396 29015\n97892 100000\n44253 66457\n13492 20162\n76900 100000\n27724 41537\n74258 100000\n88177 100000\n32048 48058\n38817 58292\n55993 84066\n76004 100000\n88888 100000\n17049 25466\n55463 83264\n9397 14017\n83948 100000\n85486 100000\n86623 100000\n3776 5633\n15617 23336\n70404 100000\n21258 31827\n6954 10357\n98510 100000\n30006 44971\n22283 33369\n77118 100000\n66435 99628\n92227 100000\n34177 51275\n86023 100000\n83116 100000\n74134 100000\n42213 63401\n42142 63290\n46096 69209\n76424 100000\n51287 77027\n66982 100000\n27750 41578\n38780 58231\n10428 15538\n15102 22545\n27081 40562\n67066 100000\n40765 61217\n20903 31305\n21340 31942\n42336 63601\n65757 98626\n69653 100000\n76111 100000\n25060 37517\n14124 21102\n91010 100000\n35305 52982\n7270 10842\n46608 69991\n23991 35905\n20180 30207\n14781 22065\n77652 100000\n4295 6413\n39472 59287\n31679 47510\n90492 100000\n7555 11275\n62641 94002\n15928 23794\n38965 58518\n9418 14049\n20773 31109\n62950 94453\n29702 44515\n36087 54176\n76139 100000\n5945 8853\n95798 100000\n98607 100000\n41263 61975\n53513 80317\n98367 100000\n96467 100000\n82885 100000\n69058 100000\n98605 100000\n44819 67301\n38447 57721\n37711 56592\n3131 4658\n48361 72631\n75853 100000\n59232 88916\n53498 80296\n48300 72547\n34658 52008\n43697 65629\n73523 100000\n31304 46942\n95069 100000\n50356 75627\n42788 64269\n51333 77097\n87585 100000\n91490 100000\n34628 51961\n52557 78892\n55987 84058\n65572 98356\n51003 76595\n14462 21599\n17118 25570\n22034 32992\n22306 33403\n93621 100000\n13826 20659\n8025 11963\n79860 100000\n82926 100000\n36599 54922\n82911 100000\n25738 38532\n36702 55083\n50229 75431\n24668 36925\n44038 66138\n50502 75854\n20398 30550\n23935 35816\n7011 10441\n55107 82715\n33317 49988\n7947 11844\n73126 100000\n61923 92922\n1300 1937\n17094 25535\n36253 54421\n69002 100000\n79033 100000\n69013 100000\n58296 87517\n82366 100000\n80216 100000\n42559 63925\n78922 100000\n37162 55770\n68689 100000\n82522 100000\n68480 100000\n62010 93048\n77345 100000\n89522 100000\n66765 100000\n61633 92482\n97643 100000\n61008 91557\n59219 88899\n12533 18727\n83068 100000\n7500 11191\n57180 85856\n56581 84945\n87021 100000\n5179 7741\n31826 47718\n46140 69276\n63027 94563\n17254 25779\n53509 80310\n51448 77272\n99010 100000\n57976 87034\n90862 100000\n32143 48201\n80296 100000\n95788 100000\n13680 20442\n346 508\n90189 100000\n17012 25416\n78880 100000\n20221 30269\n64971 97467\n25964 38859\n28188 42230\n80895 100000\n21243 31807\n6099 9072\n16280 24316\n40366 60606\n28759 43096\n44144 66294\n7728 11523\n41075 61693\n12647 18899\n37507 56291\n89305 100000\n88846 100000\n80501 100000\n28208 42263\n6354 9459\n74608 100000\n27089 40575\n65049 97585\n71112 100000\n34825 52264\n94407 100000\n25570 38281\n33669 50524\n67267 100000\n65682 98508\n67316 100000\n52731 79160\n96803 100000\n6068 9031\n12933 19324\n89924 100000\n92161 100000\n98128 100000\n90454 100000\n63481 95228\n84307 100000\n57269 85985\n21747 32562\n57542 86389\n56599 84975\n83340 100000\n27333 40942\n92434 100000\n93440 100000\n12387 18511\n11071 16526\n28430 42602\n26679 39949\n14068 21019\n77212 100000\n299 434\n49879 74922\n75504 100000\n67289 100000\n57451 86248\n39764 59717\n50869 76401\n69217 100000\n31758 47620\n23761 35560\n78449 100000\n38115 57204\n51486 77326\n26042 38980\n66895 100000\n37671 56533\n62707 94098\n66297 99427\n63924 95900\n7142 10648\n6359 9466\n90469 100000\n34629 51962\n26289 39356\n75567 100000\n66619 99906\n97056 100000\n97725 100000\n31836 47730\n3227 4800\n87611 100000\n81973 100000\n27280 40857\n83959 100000\n15423 23028\n20172 30195\n86389 100000\n83394 100000\n15351 22919\n49627 74541\n64471 96717\n78803 100000\n62324 93530\n99669 100000\n22331 33442\n70301 100000\n56794 85271\n77813 100000\n69321 100000\n18887 28238\n21767 32591\n40989 61555\n96853 100000\n56221 84401\n84547 100000\n33922 50895\n72016 100000\n32078 48102\n32188 48270\n22216 33267\n97710 100000\n97865 100000\n18183 27181\n83509 100000\n53005 79565\n16474 24610\n67836 100000\n19860 29723\n99919 100000\n64544 96835\n75852 100000\n17493 26149\n70012 100000\n38792 58253\n62193 93327\n82636 100000\n97685 100000\n83786 100000\n52723 79148\n77213 100000\n29381 44031\n46106 69227\n37908 56882\n31395 47081\n60852 91329\n19658 29423\n52698 79111\n94940 100000\n10962 16362\n86547 100000\n27509 41211\n3389 5037\n48559 72927\n1422 2119\n32081 48107\n63988 95994\n49731 74700\n64494 96753\n97821 100000\n44092 66219\n24934 37327\n6358 9465\n96452 100000\n76454 100000\n86081 100000\n30768 46141\n12198 18224\n23410 35040\n14354 21441\n56376 84648\n21882 32764\n33898 50864\n70194 100000\n84430 100000\n30534 45788\n79511 100000\n10362 15445\n93538 100000\n59704 89619\n87400 100000\n24230 36259\n5520 8232\n34300 51456\n41849 62854\n73606 100000\n63375 95070\n47091 70720\n21488 32176\n49268 73998\n55729 83675\n3179 4729\n65931 98881\n48791 73280\n20983 31424\n15151 22622\n78647 100000\n13601 20324\n85483 100000\n92715 100000\n91732 100000\n91322 100000\n62287 93475\n94463 100000\n784 1157\n57443 86235\n70414 100000\n10119 15089\n45693 68612\n42645 64056\n92685 100000\n6009 8950\n24095 36055\n91279 100000\n92272 100000\n49560 74436\n66620 99907\n10719 15984\n49763 74746\n49343 74112\n29312 43932\n89508 100000\n30166 45218\n7846 11695\n28922 43347\n72971 100000\n35360 53063\n38668 58061\n80417 100000\n62313 93513\n51904 77939\n95312 100000\n25888 38747\n17077 25508\n98124 100000\n70634 100000\n74903 100000\n30524 45775\n39936 59969\n87564 100000\n74569 100000\n82715 100000\n38233 57393\n5341 7978\n51700 77638\n94361 100000\n14813 22115\n13630 20370\n71422 100000\n90005 100000\n59122 88751\n49759 74740\n84438 100000\n69737 100000\n29060 43556\n1677 2499\n28122 42126\n99232 100000\n57129 85774\n36269 54443\n1601 2395\n39243 58927\n1735 2586\n55038 82606\n13884 20750\n49771 74757\n66522 99762\n23910 35781\n87125 100000\n82747 100000\n572 839\n43595 65477\n72711 100000\n46648 70047\n74853 100000\n16366 24447\n49895 74943\n52359 78605\n37674 56539\n38149 57258\n87830 100000\n1912 2842\n95498 100000\n91431 100000\n4015 5989\n85936 100000\n69994 100000\n60481 90767\n2485 3693\n52316 78541\n20732 31047\n61183 91818\n35258 52919\n60366 90595\n74890 100000\n85350 100000\n95302 100000\n931 1375\n90012 100000\n21628 32385\n70783 100000\n80697 100000\n88867 100000\n58211 87386\n97015 100000\n42729 64176\n32447 48666\n48917 73473\n84201 100000\n60536 90850\n36478 54747\n39228 58905\n29878 44775\n88016 100000\n68489 100000\n82596 100000\n97511 100000\n42700 64132\n63423 95138\n85630 100000\n1237 1844\n57943 86985\n34683 52048\n49767 74751\n59203 88876\n28582 42834\n51597 77488\n93216 100000\n39743 59685\n10863 16207\n24765 37070\n33398 50115\n76427 100000\n59423 89201\n47898 71949\n43131 64791\n99586 100000\n51255 76978\n3957 5905\n22370 33500\n84328 100000\n90385 100000\n17859 26677\n63899 95862\n86639 100000\n7166 10680\n80793 100000\n13069 19530\n52766 79209\n17080 25512\n42286 63516\n28938 43372\n61884 92860\n16713 24967\n45494 68299\n90792 100000\n5275 7882\n75173 100000\n79002 100000\n99173 100000\n33296 49952\n26668 39932\n71966 100000\n21639 32402\n93124 100000\n43529 65381\n1860 2768\n51680 77607\n63835 95768\n96143 100000\n78199 100000\n20361 30495\n2064 3068\n99661 100000\n54534 81857\n32486 48727\n54500 81806\n16452 24575\n91976 100000\n48184 72378\n66469 99683\n2333 3469\n53430 80196\n48950 73523\n36645 54995\n80091 100000\n31242 46846\n17889 26724\n11956 17856\n36840 55295\n99782 100000\n90445 100000\n31564 47338\n22997 34412\n95357 100000\n29982 44932\n71970 100000\n44626 67010\n55097 82697\n59823 89792\n22418 33575\n62498 93783\n80244 100000\n11302 16867\n64550 96844\n16002 23908\n71535 100000\n56841 85346\n15017 22412\n70797 100000\n40480 60783\n9665 14397\n67277 100000\n55992 84065\n2418 3595\n66581 99851\n43726 65668\n21553 32272\n33652 50501\n81679 100000\n71054 100000\n16100 24051\n24275 36327\n3497 5201\n98231 100000\n28854 43246\n94612 100000\n25713 38498\n62262 93434\n11580 17291\n82854 100000\n73486 100000\n63609 95420\n90609 100000\n85917 100000\n89673 100000\n2193 3264\n71347 100000\n95868 100000\n33556 50351\n48991 73588\n63478 95224\n8567 12766\n38643 58021\n1640 2450\n92205 100000\n83693 100000\n50443 75762\n15447 23065\n16319 24373\n11 16\n41129 61772\n42716 64157\n24480 36635\n94021 100000\n64333 96504\n14461 21598\n86397 100000\n21981 32912\n50674 76114\n29400 44059\n41358 62119\n17910 26760\n7168 10684\n41744 62696\n57743 86679\n55285 82987\n12629 18875\n14120 21095\n75659 100000\n99527 100000\n29437 44113\n10454 15576\n90837 100000\n79924 100000\n96077 100000\n64235 96362\n20999 31445\n13622 20357\n84792 100000\n93639 100000\n36305 54494\n61549 92359\n70367 100000\n48721 73179\n61390 92117\n90171 100000\n74498 100000\n8952 13344\n70318 100000\n30493 45727\n421 615\n84234 100000\n21163 31686\n62354 93574\n7414 11066\n90163 100000\n13641 20385\n30364 45525\n61400 92132\n514 760\n43412 65220\n21847 32713\n41838 62839\n12497 18674\n35361 53064\n16225 24233\n10626 15833\n6657 9906\n7419 11071\n90514 100000\n4775 7128\n3831 5720\n13545 20238\n93201 100000\n92464 100000\n7116 10607\n54015 81076\n9499 14159\n91509 100000\n7057 10513\n64072 96119\n4498 6714\n2165 3227\n98226 100000\n2964 4410\n83135 100000\n74565 100000\n20606 30852\n50950 76516\n23067 34508\n97512 100000\n72546 100000\n74616 100000\n20283 30371\n84079 100000\n90578 100000\n84899 100000\n84888 100000\n1510 2257\n60638 91003\n99888 100000\n28688 42991\n8002 11931\n83129 100000\n6074 9039\n81745 100000\n27701 41501\n13778 20585\n15605 23316\n7429 11087\n43150 64825\n48366 72639\n31669 47496\n1240 1848\n21109 31604\n36100 54194\n76347 100000\n92048 100000\n75979 100000\n49611 74516\n62888 94364\n17135 25600\n31293 46927\n21913 32809\n39589 59459\n53505 80304\n12850 19205\n51828 77830\n65340 98013\n57517 86349\n99918 100000\n92519 100000\n98702 100000\n6365 9475\n67450 100000\n711 1049\n55786 83764\n38237 57400\n74694 100000\n3666 5465\n98360 100000\n85075 100000\n891 1311\n60517 90819\n71071 100000\n65794 98676\n65075 97622\n95193 100000\n44621 67003\n39820 59798\n15431 23040\n85572 100000\n56689 85116\n838 1237\n1033 1527\n60106 90213\n93463 100000\n80808 100000\n74055 100000\n47912 71970\n14194 21209\n84919 100000\n81301 100000\n34282 51428\n41351 62109\n3556 5293\n99834 100000\n93665 100000\n49746 74724\n57662 86565\n93252 100000\n55818 83814\n37155 55759\n17076 25507\n88691 100000\n85853 100000\n72795 100000\n92870 100000\n79117 100000\n27114 40611\n65866 98787\n15442 23057\n4120 6149\n73855 100000\n89988 100000\n38767 58212\n74510 100000\n96959 100000\n37423 56164\n58968 88527\n9862 14703\n40707 61134\n68137 100000\n10184 15182\n3359 4991\n7145 10651\n11487 17149\n1138 1688\n60777 91215\n73964 100000\n40829 61314\n75083 100000\n98018 100000\n31010 46501\n29520 44232\n82056 100000\n40193 60344\n39560 59415\n83600 100000\n76394 100000\n26357 39463\n52781 79229\n87119 100000\n89967 100000\n57008 85595\n77481 100000\n23520 35201\n55073 82662\n93892 100000\n30920 46367\n90874 100000\n29166 43711\n46016 69090\n25194 37719\n97715 100000\n34146 51228\n14140 21127\n14791 22081\n67518 100000\n58979 88543\n32244 48351\n83349 100000\n26479 39648\n13129 19624\n49661 74592\n98714 100000\n13956 20849\n4339 6480\n73474 100000\n2706 4032\n35787 53714\n90558 100000\n27901 41805\n45865 68862\n709 1045\n73498 100000\n63539 95316\n63274 94920\n98352 100000\n56292 84514\n15610 23325\n40844 61337\n97299 100000\n7172 10690\n419 613\n66091 99119\n98640 100000\n20016 29964\n55327 83054\n28081 42069\n5093 7614\n2108 3139\n44948 67490\n28279 42368\n69400 100000\n88253 100000\n80088 100000\n8282 12343\n45561 68400\n27218 40764\n21645 32409\n91166 100000\n2691 4009\n43447 65272\n97439 100000\n21917 32815\n76612 100000\n76409 100000\n45958 69004\n28578 42827\n3242 4822\n42378 63663\n89407 100000\n77415 100000\n59180 88839\n48168 72351\n52886 79386\n65549 98323\n29209 43779\n48550 72912\n36294 54477\n11052 16495\n15267 22796\n8158 12167\n52903 79411\n70174 100000\n8157 12165\n15736 23512\n60371 90602\n32438 48652\n43676 65600\n53965 81004\n85347 100000\n84061 100000\n72205 100000\n95004 100000\n9078 13532\n98478 100000\n72014 100000\n44539 66885\n33030 49557\n75527 100000\n41293 62019\n88483 100000\n7127 10621\n45718 68648\n64167 96258\n90202 100000\n59074 88683\n29095 43605\n72510 100000\n49698 74652\n32987 49486\n69550 100000\n52002 78081\n81892 100000\n65307 97962\n11851 17703\n18474 27612\n71338 100000\n91265 100000\n36747 55148\n26343 39443\n93248 100000\n88879 100000\n77074 100000\n54938 82460\n33975 50971\n48713 73165\n45572 68420\n97514 100000\n22403 33551\n50996 76585\n7331 10939\n99845 100000\n36935 55430\n44777 67240\n26311 39392\n81337 100000\n60707 91107\n9622 14334\n65802 98690\n94694 100000\n54858 82338\n9359 13958\n75421 100000\n90143 100000\n46692 70118\n58511 87838\n81010 100000\n53076 79659\n19450 29098\n25258 37813\n79588 100000\n45220 67899\n49062 73695\n92462 100000\n10638 15851\n23421 35057\n433 632\n41237 61935\n7601 11342\n43603 65490\n25303 37877\n71125 100000\n74138 100000\n26481 39652\n37752 56654\n93370 100000\n31033 46533\n67774 100000\n47229 70934\n53800 80753\n55928 83976\n78854 100000\n3292 4892\n73466 100000\n95919 100000\n67759 100000\n83173 100000\n72551 100000\n26043 38981\n77258 100000\n62295 93488\n45126 67759\n46754 70209\n71834 100000\n43874 65891\n55663 83575\n18186 27185\n24425 36550\n13959 20854\n82238 100000\n6219 9254\n6849 10195\n77015 100000\n51659 77576\n42838 64342\n93182 100000\n55790 83771\n59129 88764\n39490 59316\n83666 100000\n94666 100000\n55252 82934\n41833 62833\n46122 69249\n46655 70057\n74164 100000\n95950 100000\n86225 100000\n66114 99150\n68523 100000\n72686 100000\n82416 100000\n97979 100000\n52319 78545\n64209 96321\n58625 88014\n57656 86555\n19864 29728\n17395 25992\n11853 17705\n13705 20480\n16163 24143\n22654 33911\n19133 28612\n99094 100000\n24809 37136\n25961 38854\n76 108\n28304 42403\n12670 18935\n40576 60932\n18005 26902\n90453 100000\n54037 81109\n67110 100000\n20523 30731\n69744 100000\n19134 28614\n32650 48970\n20453 30627\n1231 1832\n37433 56180\n62849 94309\n73028 100000\n88744 100000\n11122 16601\n9153 13645\n47687 71640\n86586 100000\n46893 70420\n11736 17521\n47057 70668\n35525 53317\n94326 100000\n27341 40954\n4057 6048\n45272 67978\n50372 75650\n81277 100000\n86951 100000\n15210 22709\n49534 74397\n69643 100000\n85150 100000\n89161 100000\n83525 100000\n10741 16019\n45854 68844\n54913 82422\n15344 22911\n5235 7823\n26764 40077\n36903 55384\n49987 75075\n91945 100000\n77507 100000\n14184 21195\n76544 100000\n75509 100000\n57602 86476\n92452 100000\n74439 100000\n6670 9927\n53908 80918\n58378 87639\n60018 90085\n86575 100000\n6538 9736\n3376 5017\n85596 100000\n3907 5828\n95657 100000\n83042 100000\n60078 90175\n47278 71014\n98191 100000\n96645 100000\n71876 100000\n18601 27802\n10455 15577\n698 1026\n56854 85365\n13977 20884\n65025 97551\n38350 57576\n85545 100000\n6293 9363\n27144 40654\n56011 84093\n58403 87678\n93012 100000\n49352 74127\n14454 21588\n33105 49666\n2780 4143\n40490 60799\n61109 91709\n13520 20204\n84170 100000\n21507 32202\n54027 81097\n23485 35152\n53231 79898\n37490 56268\n4777 7131\n95545 100000\n40295 60501\n54646 82025\n18580 27769\n30243 45338\n93994 100000\n18445 27570\n78916 100000\n12312 18395\n3548 5282\n56397 84675\n79398 100000\n46630 70024\n87533 100000\n63217 94838\n79622 100000\n79728 100000\n57653 86551\n78680 100000\n17749 26515\n70967 100000\n49431 74247\n37243 55895\n9879 14727\n84715 100000\n84184 100000\n28220 42281\n20140 30151\n92892 100000\n94550 100000\n63283 94933\n61541 92350\n17045 25459\n45087 67700\n64963 97453\n6675 9933\n78301 100000\n49700 74654\n67453 100000\n27358 40976\n15303 22853\n59862 89850\n95205 100000\n4926 7358\n9916 14788\n89484 100000\n16504 24656\n28665 42961\n66919 100000\n71808 100000\n35186 52808\n55721 83664\n38978 58537\n79138 100000\n93419 100000\n44640 67032\n90151 100000\n48832 73344\n70237 100000\n3786 5650\n73965 100000\n20816 31175\n45243 67933\n14456 21590\n24796 37116\n40445 60726\n55120 82731\n40056 60142\n229 332\n87314 100000\n59578 89432\n53153 79776\n85066 100000\n71882 100000\n24730 37019\n48273 72511\n77114 100000\n46392 69660\n99777 100000\n80454 100000\n52625 79001\n45484 68284\n50301 75543\n41235 61933\n7236 10788\n66438 99634\n94926 100000\n28618 42891\n63202 94816\n68 98\n49003 73605\n95173 100000\n34043 51080\n44184 66356\n63748 95629\n36337 54542\n3499 5205\n15270 22802\n91083 100000\n88050 100000\n8824 13149\n26685 39957\n67412 100000\n57080 85699\n48504 72845\n4781 7137\n20390 30536\n38305 57505\n19458 29111\n43267 65005\n74954 100000\n86326 100000\n55032 82597\n67528 100000\n91951 100000\n1126 1668\n339 496\n53697 80593\n11234 16763\n45947 68986\n10197 15199\n5753 8572\n36277 54454\n5089 7607\n23137 34620\n87237 100000\n62886 94362\n35100 52678\n43934 65983\n25666 38428\n36776 55196\n92142 100000\n77602 100000\n60928 91444\n28822 43196\n80737 100000\n47170 70843\n16106 24059\n18900 28261\n53630 80492\n102 138\n65893 98827\n87269 100000\n79213 100000\n98738 100000\n61059 91637\n18476 27615\n82660 100000\n79952 100000\n29175 43726\n14149 21141\n92328 100000\n77887 100000\n79672 100000\n15333 22897\n39283 58991\n99454 100000\n54807 82268\n16526 24688\n94750 100000\n90520 100000\n12922 19309\n312 454\n88763 100000\n68857 100000\n89866 100000\n60571 90904\n42538 63892\n78785 100000\n85660 100000\n29476 44169\n27677 41465\n57023 85616\n6165 9174\n24845 37191\n15631 23356\n40806 61278\n71922 100000\n53035 79607\n65938 98892\n17165 25649\n45141 67780\n31421 47123\n40378 60625\n91872 100000\n28256 42334\n56480 84799\n91525 100000\n69831 100000\n80901 100000\n12704 18991\n60971 91503\n78280 100000\n51694 77630\n22680 33951\n85795 100000\n79945 100000\n64844 97277\n45453 68244\n282 412\n39456 59260\n65423 98136\n57505 86332\n49749 74728\n55034 82600\n2143 3194\n47806 71816\n41520 62365\n19751 29565\n41473 62287\n52338 78576\n65634 98437\n37190 55812\n25162 37669\n29458 44143\n83441 100000\n11892 17765\n67429 100000\n92735 100000\n95000 100000\n2027 3009\n2932 4367\n27055 40522\n24839 37183\n26128 39110\n49998 75095\n86631 100000\n86504 100000\n51452 77278\n34337 51508\n38783 58236\n77461 100000\n34620 51949\n89230 100000\n70682 100000\n12166 18181\n40544 60886\n41818 62810\n11359 16958\n27994 41940\n30208 45284\n16420 24530\n91250 100000\n37400 56129\n56703 85138\n78090 100000\n18693 27937\n56541 84889\n18663 27893\n62469 93738\n72137 100000\n40446 60728\n43439 65261\n69597 100000\n93153 100000\n92586 100000\n36017 54062\n40147 60275\n76163 100000\n48188 72385\n49579 74467\n66048 99061\n49814 74826\n97526 100000\n77578 100000\n57306 86043\n97981 100000\n33107 49670\n19620 29361\n41577 62449\n93184 100000\n80030 100000\n53354 80082\n4366 6517\n5840 8700\n61641 92496\n18522 27684\n39110 58733\n3088 4594\n68913 100000\n24608 36826\n75124 100000\n38460 57736\n83056 100000\n79737 100000\n16237 24251\n55271 82965\n22243 33308\n54680 82077\n33901 50867\n87498 100000\n41759 62719\n61797 92729\n85538 100000\n69609 100000\n1719 2563\n31309 46951\n51651 77567\n63713 95574\n51663 77581\n97463 100000\n94283 100000\n60258 90440\n24 34\n19430 29067\n50090 75237\n8446 12586\n85317 100000\n76771 100000\n99396 100000\n10149 15131\n92836 100000\n96416 100000\n42122 63259\n59386 89147\n58369 87623\n14551 21733\n49424 74238\n5443 8123\n97281 100000\n62732 94138\n41631 62530\n42789 64270\n99939 100000\n93262 100000\n54532 81854\n51598 77489\n86917 100000\n11893 17766\n66242 99343\n52332 78567\n77297 100000\n31952 47909\n39917 59940\n95983 100000\n83892 100000\n69162 100000\n44104 66237\n3326 4942\n36381 54605\n77785 100000\n15556 23236\n3369 5006\n70994 100000\n47686 71638\n16156 24133\n26896 40276\n81165 100000\n29827 44701\n37996 57020\n68904 100000\n3105 4618\n98801 100000\n12941 19338\n35578 53392\n17994 26884\n24292 36356\n43152 64828\n88217 100000\n67756 100000\n46416 69699\n21145 31659\n16352 24427\n49315 74072\n53856 80840\n53608 80462\n66718 100000\n77619 100000\n17903 26747\n4685 6995\n61730 92628\n87821 100000\n60783 91225\n13578 20289\n99413 100000\n7044 10495\n40131 60251\n1079 1598\n36204 54349\n33800 50720\n56033 84127\n84295 100000\n77238 100000\n61444 92202\n76925 100000\n58027 87111\n90870 100000\n52937 79467\n21571 32300\n50360 75632\n15275 22810\n57581 86447\n67215 100000\n76423 100000\n50157 75332\n72208 100000\n84656 100000\n73687 100000\n84831 100000\n53843 80821\n72648 100000\n19271 28826\n82763 100000\n86190 100000\n49290 74033\n34735 52130\n82744 100000\n16659 24884\n84084 100000\n59795 89750\n80915 100000\n34564 51865\n89648 100000\n75843 100000\n85465 100000\n37450 56205\n56954 85515\n67895 100000\n92098 100000\n14688 21934\n90638 100000\n37608 56443\n7240 10794\n63706 95565\n69698 100000\n85524 100000\n11755 17551\n22856 34201\n57352 86110\n64015 96036\n98134 100000\n63198 94808\n50025 75138\n64953 97438\n77727 100000\n50210 75404\n34274 51415\n88902 100000\n3265 4856\n34643 51984\n83727 100000\n13960 20856\n11019 16449\n85901 100000\n24100 36061\n28328 42445\n21265 31839\n25729 38518\n59157 88807\n53322 80035\n48375 72650\n82722 100000\n44150 66302\n33565 50364\n35731 53629\n91990 100000\n48698 73143\n1441 2148\n52862 79348\n33812 50735\n19391 29008\n87966 100000\n35619 53455\n48094 72243\n34507 51775\n37291 55959\n1279 1899\n98464 100000\n19592 29319\n67305 100000\n606 884\n79656 100000\n8044 11994\n74929 100000\n13076 19543\n13406 20040\n3768 5619\n29 42\n63009 94537\n39771 59728\n41188 61863\n13572 20280\n54423 81689\n9046 13485\n99498 100000\n9641 14360\n16023 23938\n96761 100000\n2642 3935\n62209 93354\n62697 94085\n59910 89924\n97042 100000\n83464 100000\n56761 85219\n24150 36137\n64067 96110\n95219 100000\n98590 100000\n99049 100000\n65253 97879\n47439 71251\n96067 100000\n3262 4850\n16889 25231\n24438 36568\n55087 82681\n42027 63117\n41975 63043\n81096 100000\n9634 14349\n22838 34175\n80179 100000\n5605 8351\n95373 100000\n92320 100000\n16884 25225\n72750 100000\n48132 72301\n23524 35207\n10323 15392\n64013 96033\n50439 75755\n78100 100000\n61724 92619\n7330 10937\n4921 7350\n83627 100000\n47945 72019\n38733 58159\n1488 2222\n97277 100000\n31227 46826\n49769 74755\n65293 97943\n19775 29602\n99320 100000\n29543 44269\n22404 33553\n89497 100000\n60886 91382\n40045 60126\n44450 66757\n51780 77758\n68363 100000\n6255 9308\n64972 97469\n43505 65347\n85304 100000\n1950 2895\n76023 100000\n99098 100000\n78779 100000\n86641 100000\n50450 75772\n89144 100000\n52298 78515\n29062 43559\n25040 37486\n77381 100000\n18143 27121\n63997 96007\n12552 18756\n36118 54222\n41906 62939\n5123 7659\n85584 100000\n78678 100000\n14928 22280\n6101 9075\n90722 100000\n59156 88806\n59697 89608\n90499 100000\n45276 67982\n60760 91187\n31430 47137\n37356 56056\n12792 19127\n33578 50383\n55500 83318\n73204 100000\n58571 87933\n19473 29136\n5657 8431\n18045 26962\n11010 16433\n84437 100000\n58044 87137\n56290 84511\n94215 100000\n29905 44816\n18750 28028\n63451 95180\n98986 100000\n35658 53510\n21347 31953\n1128 1671\n91008 100000\n68092 100000\n81300 100000\n36325 54525\n661 972\n51104 76749\n32719 49074\n36312 54505\n33894 50859\n46665 70074\n43006 64601\n51251 76972\n52482 78781\n94397 100000\n9714 14474\n13917 20792\n70857 100000\n56921 85465\n19008 28421\n45384 68143\n55037 82604\n17887 26722\n79639 100000\n86726 100000\n55033 82599\n47933 72000\n21311 31904\n75126 100000\n58308 87534\n12862 19223\n50614 76031\n12806 19143\n85760 100000\n42811 64300\n12363 18472\n89823 100000\n3006 4475\n63518 95284\n42295 63530\n56573 84937\n48780 73262\n73756 100000\n75425 100000\n59489 89302\n6733 10018\n18376 27465\n62301 93495\n91386 100000\n16386 24479\n46567 69931\n91385 100000\n58339 87579\n36128 54237\n97257 100000\n55739 83692\n41846 62851\n50044 75162\n29572 44312\n21607 32355\n4983 7446\n46418 69702\n98989 100000\n43122 64777\n68044 100000\n45361 68107\n54543 81872\n63491 95245\n21269 31847\n5186 7752\n38058 57114\n62035 93090\n79406 100000\n52258 78460\n19698 29485\n21342 31946\n52313 78536\n8393 12508\n39930 59960\n91040 100000\n40022 60093\n80843 100000\n28937 43370\n31646 47462\n77672 100000\n26864 40229\n99043 100000\n56727 85170\n48603 72991\n48360 72629\n28928 43357\n31260 46873\n70581 100000\n74470 100000\n23280 34835\n71127 100000\n7769 11582\n68153 100000\n18276 27323\n11871 17731\n66272 99391\n12992 19418\n81792 100000\n8096 12070\n31628 47434\n3014 4484\n3151 4690\n13094 19572\n59837 89812\n51999 78077\n84152 100000\n35347 53046\n53689 80582\n25706 38489\n86909 100000\n60039 90118\n8556 12746\n14311 21379\n18426 27542\n79779 100000\n8072 12034\n23180 34685\n61096 91688\n27549 41274\n83067 100000\n24002 35921\n44703 67128\n43386 65180\n2841 4233\n65291 97939\n72241 100000\n50485 75829\n4143 6183\n18493 27641\n23535 35223\n8365 12466\n28305 42405\n74611 100000\n46346 69594\n46825 70320\n9754 14540\n48581 72960\n4577 6845\n61348 92059\n97900 100000\n27562 41295\n70434 100000\n552 811\n71885 100000\n83760 100000\n48612 73005\n74778 100000\n69355 100000\n61269 91935\n54883 82377\n13748 20544\n8328 12410\n68251 100000\n63907 95876\n90993 100000\n62962 94467\n59484 89294\n65093 97649\n25750 38548\n36809 55247\n67476 100000\n35926 53923\n26582 39803\n2866 4269\n95485 100000\n23792 35607\n59400 89167\n16357 24434\n47535 71404\n49480 74319\n71712 100000\n38526 57845\n90214 100000\n97881 100000\n48404 72693\n3163 4707\n90766 100000\n55134 82752\n61963 92978\n74356 100000\n57316 86057\n45980 69036\n88773 100000\n32467 48696\n10944 16330\n71134 100000\n46752 70206\n10742 16021\n2489 3698\n61455 92220\n60970 91502\n65486 98231\n42648 64060\n22234 33294\n83351 100000\n1900 2825\n54861 82342\n35524 53315\n81755 100000\n34381 51577\n51695 77631\n35488 53259\n44241 66438\n42364 63643\n39643 59539\n34983 52498\n45864 68861\n88677 100000\n11891 17763\n76278 100000\n3298 4900\n62395 93632\n83664 100000\n97367 100000\n43826 65818\n83714 100000\n65724 98575\n56109 84241\n87312 100000\n51871 77892\n8482 12640\n40921 61449\n6912 10292\n90152 100000\n89545 100000\n27013 40459\n95019 100000\n41002 61575\n82066 100000\n22131 33142\n50732 76197\n15315 22870\n4341 6483\n9790 14596\n62838 94291\n99895 100000\n65414 98124\n56643 85046\n32621 48927\n60827 91294\n99230 100000\n95691 100000\n83579 100000\n32825 49238\n67783 100000\n7610 11354\n78923 100000\n5489 8185\n69755 100000\n6124 9108\n65374 98063\n35710 53595\n26345 39445\n7710 11498\n4069 6067\n7388 11025\n83479 100000\n10440 15553\n50303 75547\n18119 27081\n4821 7197\n56775 85242\n58526 87862\n82551 100000\n5546 8267\n99757 100000\n68618 100000\n40587 60949\n92887 100000\n26033 38969\n24470 36620\n77735 100000\n75213 100000\n60162 90302\n41312 62051\n33962 50954\n46129 69261\n29579 44323\n84940 100000\n95269 100000\n99923 100000\n17040 25452\n68241 100000\n90296 100000\n98561 100000\n67423 100000\n30373 45538\n29655 44443\n17082 25515\n48314 72566\n90697 100000\n49562 74440\n79891 100000\n41123 61765\n31210 46799\n16613 24816\n549 808\n77534 100000\n5901 8789\n78865 100000\n67061 100000\n41642 62544\n91678 100000\n85784 100000\n36072 54152\n43369 65156\n49436 74254\n24317 36394\n59842 89820\n38186 57313\n86248 100000\n365 534\n61280 91953\n15798 23608\n25210 37741\n21173 31700\n78537 100000\n20237 30295\n82157 100000\n14275 21326\n52643 79027\n28753 43086\n59726 89649\n62168 93290\n24027 35957\n21071 31548\n16139 24108\n7735 11532\n38177 57300\n44623 67006\n28002 41951\n99366 100000\n70952 100000\n28325 42439\n5736 8550\n7202 10737\n99478 100000\n6924 10313\n69862 100000\n57673 86580\n29461 44147\n69569 100000\n7706 11493\n43502 65342\n72620 100000\n50314 75563\n97607 100000\n28715 43033\n50156 75330\n68739 100000\n8610 12830\n47137 70795\n73750 100000\n20934 31351\n49597 74494\n8644 12880\n20714 31019\n6655 9903\n63313 94980\n43239 64962\n8216 12250\n21346 31952\n54533 81856\n3804 5680\n41842 62845\n75092 100000\n36830 55279\n16930 25287\n97400 100000\n44582 66942\n91583 100000\n76332 100000\n97408 100000\n91528 100000\n86545 100000\n64064 96106\n45203 67874\n4369 6523\n17529 26199\n6690 9956\n36097 54191\n61603 92438\n22611 33849\n95108 100000\n85178 100000\n49164 73843\n22968 34366\n55855 83869\n88267 100000\n25986 38896\n60031 90105\n38859 58361\n61296 91978\n81091 100000\n63698 95555\n6090 9060\n92909 100000\n93602 100000\n3970 5924\n81349 100000\n89328 100000\n70260 100000\n89869 100000\n84384 100000\n45850 68840\n44815 67294\n48323 72579\n98750 100000\n41799 62780\n46042 69125\n32028 48029\n59572 89425\n3835 5725\n3664 5462\n64037 96068\n97074 100000\n75593 100000\n26676 39944\n1061 1572\n35115 52700\n4237 6323\n64416 96627\n73003 100000\n33611 50435\n69021 100000\n11698 17464\n88955 100000\n89911 100000\n8712 12988\n8210 12243\n26975 40400\n85438 100000\n13133 19630\n87799 100000\n65064 97609\n53524 80334\n28640 42925\n32242 48349\n35431 53171\n41990 63066\n85956 100000\n67334 100000\n92928 100000\n32985 49483\n1790 2665\n81142 100000\n43254 64985\n9562 14244\n11281 16839\n86672 100000\n44612 66988\n58193 87357\n94080 100000\n47211 70910\n26230 39266\n60598 90944\n40925 61455\n83084 100000\n46280 69493\n54505 81813\n84254 100000\n6213 9246\n76042 100000\n59309 89030\n13194 19721\n38185 57311\n70795 100000\n13057 19512\n27758 41591\n86088 100000\n71208 100000\n27588 41335\n53776 80716\n66507 99742\n27600 41352\n70867 100000\n44742 67190\n73557 100000\n33328 50007\n25453 38107\n3985 5944\n47766 71762\n3488 5188\n36021 54070\n21711 32510\n47007 70591\n17270 25804\n22030 32986\n13305 19890\n90808 100000\n57235 85935\n81139 100000\n9088 13548\n61458 92226\n56543 84893\n96395 100000\n30574 45848\n35478 53243\n96224 100000\n63579 95375\n61169 91799\n21440 32100\n7731 11526\n66458 99665\n5581 8317\n97108 100000\n14402 21512\n56362 84625\n83837 100000\n92422 100000\n22781 34094\n90339 100000\n17153 25630\n17126 25586\n98809 100000\n12548 18751\n19454 29105\n11713 17487\n54456 81737\n87795 100000\n96716 100000\n52998 79556\n80192 100000\n29871 44764\n85643 100000\n29372 44018\n10662 15888\n64396 96599\n62166 93287\n46234 69421\n69421 100000\n76908 100000\n23136 34618\n57170 85839\n90395 100000\n60048 90132\n74228 100000\n8698 12968\n76585 100000\n93755 100000\n66676 99996\n33406 50125\n78488 100000\n9035 13468\n71827 100000\n99775 100000\n6233 9275\n68231 100000\n53463 80244\n1824 2712\n53452 80229\n51936 77985\n68577 100000\n98687 100000\n39960 60002\n43712 65651\n3083 4586\n4956 7404\n80755 100000\n51995 78073\n14189 21201\n29187 43743\n46322 69561\n9693 14444\n47502 71356\n86869 100000\n89129 100000\n37592 56420\n50749 76223\n2162 3222\n19235 28771\n27405 41046\n61722 92617\n21444 32107\n10247 15276\n36962 55468\n49275 74010\n58448 87740\n23442 35091\n44153 66307\n28871 43269\n7069 10531\n81015 100000\n3183 4736\n39417 59201\n63502 95261\n90318 100000\n24746 37041\n41216 61905\n90994 100000\n45091 67705\n12248 18299\n15349 22917\n5769 8593\n36315 54510\n88513 100000\n72410 100000\n71823 100000\n88 123\n86220 100000\n48650 73065\n31729 47578\n96305 100000\n75712 100000\n98207 100000\n46043 69126\n94784 100000\n75568 100000\n82182 100000\n85644 100000\n2005 2975\n44831 67319\n15497 23138\n77857 100000\n16170 24152\n85944 100000\n12022 17956\n96936 100000\n21526 32229\n32329 48481\n77805 100000\n61985 93010\n60019 90087\n30787 46171\n67246 100000\n44759 67213\n58736 88188\n73808 100000\n7849 11700\n69268 100000\n15526 23189\n14719 21975\n89044 100000\n12657 18914\n99304 100000\n90689 100000\n95824 100000\n69558 100000\n94473 100000\n30903 46344\n57978 87038\n68558 100000\n22226 33281\n54703 82111\n5963 8881\n24363 36461\n86667 100000\n4029 6009\n96155 100000\n89915 100000\n23505 35180\n56112 84246\n71995 100000\n12101 18079\n2042 3035\n10833 16161\n99955 100000\n67490 100000\n79825 100000\n53192 79833\n71611 100000\n64620 96952\n12261 18317\n28406 42561\n36244 54407\n34160 51252\n33413 50136\n50239 75444\n73602 100000\n15302 22851\n84906 100000\n21838 32699\n48451 72763\n81336 100000\n48397 72682\n18806 28117\n87934 100000\n45782 68744\n48225 72440\n44181 66351\n88673 100000\n72520 100000\n11517 17196\n76223 100000\n33646 50492\n27365 40985\n78154 100000\n78117 100000\n61000 91544\n3113 4629\n33265 49904\n54796 82250\n43370 65157\n33411 50133\n55864 83881\n78870 100000\n67753 100000\n24094 36053\n30763 46133\n40868 61373\n1976 2932\n80812 100000\n60174 90319\n40026 60098\n24340 36424\n95822 100000\n81586 100000\n30461 45678\n11654 17395\n48680 73112\n20702 31000\n44336 66582\n57421 86209\n73076 100000\n31776 47642\n77573 100000\n50078 75218\n66775 100000\n23314 34886\n58558 87914\n24720 37005\n34412 51625\n21535 32244\n13116 19604\n34891 52356\n76172 100000\n43366 65151\n44618 66997\n42607 64002\n91124 100000\n10037 14969\n54893 82393\n99576 100000\n95439 100000\n72315 100000\n67639 100000\n47198 70887\n25026 37469\n72990 100000\n73416 100000\n97891 100000\n41283 62004\n21904 32797\n24040 35978\n94862 100000\n93720 100000\n10465 15592\n23303 34870\n55692 83619\n21600 32344\n58580 87946\n86937 100000\n20834 31198\n62311 93509\n74961 100000\n54152 81289\n81456 100000\n91889 100000\n33175 49776\n96614 100000\n75069 100000\n94349 100000\n78082 100000\n20669 30949\n36459 54719\n75955 100000\n63147 94737\n29037 43520\n84317 100000\n68347 100000\n14518 21679\n2946 4385\n76924 100000\n3157 4699\n53760 80690\n64289 96442\n66738 100000\n83765 100000\n16744 25013\n47461 71287\n50887 76425\n96591 100000\n58453 87748\n86940 100000\n63784 95688\n36442 54695\n82905 100000\n87258 100000\n65358 98038\n96839 100000\n13910 20782\n41525 62371\n70288 100000\n34315 51476\n54664 82052\n63672 95516\n74500 100000\n83213 100000\n78533 100000\n27589 41336\n41888 62913\n97945 100000\n95181 100000\n95831 100000\n58992 88564\n17927 26786\n45495 68301\n74298 100000\n26453 39607\n86571 100000\n60961 91489\n57543 86391\n90944 100000\n16904 25251\n56918 85462\n80899 100000\n44201 66380\n56049 84156\n2972 4422\n63813 95736\n16927 25283\n61768 92682\n23042 34474\n72865 100000\n33638 50481\n72547 100000\n55408 83180\n55524 83353\n1841 2740\n27005 40448\n33836 50773\n20102 30093\n44525 66866\n72173 100000\n56562 84921\n29433 44109\n5441 8121\n34345 51519\n37131 55726\n78435 100000\n77925 100000\n35689 53561\n94184 100000\n62055 93119\n77713 100000\n82429 100000\n62293 93484\n83483 100000\n52310 78531\n69126 100000\n18050 26970\n13976 20882\n40817 61295\n90273 100000\n59893 89895\n50589 75990\n29193 43752\n97816 100000\n69733 100000\n60993 91535\n25020 37463\n92425 100000\n22794 34112\n58100 87224\n33496 50259\n87560 100000\n15715 23481\n6418 9552\n92237 100000\n20343 30469\n7600 11340\n47304 71046\n23077 34525\n20811 31167\n21557 32278\n61422 92164\n99723 100000\n21984 32916\n53218 79877\n92144 100000\n52518 78836\n32677 49013\n80181 100000\n53090 79679\n9107 13578\n65624 98427\n73853 100000\n54782 82228\n58599 87974\n87144 100000\n83469 100000\n15915 23777\n77123 100000\n46257 69457\n473 697\n70345 100000\n12918 19303\n8555 12745\n63589 95391\n73279 100000\n12863 19224\n39710 59634\n88749 100000\n6781 10094\n50884 76421\n22071 33050\n66695 100000\n26715 40001\n64457 96693\n71466 100000\n58934 88478\n57706 86630\n46255 69454\n10289 15339\n47814 71828\n5817 8667\n50505 75859\n74199 100000\n95880 100000\n28292 42386\n60319 90524\n82753 100000\n53312 80020\n25627 38364\n67991 100000\n91268 100000\n82337 100000\n72590 100000\n76136 100000\n70379 100000\n88793 100000\n54786 82233\n39124 58755\n60204 90362\n23132 34612\n53806 80763\n74563 100000\n71067 100000\n13228 19773\n32653 48975\n76665 100000\n84388 100000\n95311 100000\n96401 100000\n70464 100000\n2694 4014\n52360 78606\n77685 100000\n75158 100000\n44547 66897\n12586 18810\n58249 87444\n97570 100000\n14110 21081\n68803 100000\n6743 10035\n85251 100000\n94596 100000\n76485 100000\n17870 26694\n59813 89779\n30633 45941\n79799 100000\n39126 58758\n66412 99591\n99101 100000\n28631 42912\n87383 100000\n97893 100000\n52350 78594\n10046 14982\n10796 16109\n19013 28429\n72792 100000\n74795 100000\n93257 100000\n56442 84744\n57903 86925\n79381 100000\n65048 97583\n1341 2001\n69575 100000\n59424 89202\n7316 10912\n8863 13208\n15156 22630\n71501 100000\n40023 60094\n48264 72501\n64278 96427\n77249 100000\n52194 78367\n10089 15046\n9391 14007\n54195 81352\n43042 64658\n86515 100000\n35979 54006\n33955 50945\n58055 87155\n18544 27715\n80811 100000\n84050 100000\n8205 12235\n7442 11106\n23086 34540\n87729 100000\n42477 63808\n770 1137\n98633 100000\n14384 21485\n17170 25658\n19640 29395\n4994 7464\n72150 100000\n58759 88216\n53270 79956\n83559 100000\n57238 85939\n28714 43032\n45680 68592\n54599 81955\n79627 100000\n25600 38328\n93244 100000\n96475 100000\n10852 16191\n41178 61846\n69130 100000\n13144 19647\n86594 100000\n83410 100000\n19348 28946\n66100 99133\n28843 43231\n90406 100000\n60858 91339\n5536 8253\n52844 79323\n31371 47046\n56449 84755\n50332 75591\n60095 90198\n5027 7513\n20883 31275\n11788 17605\n41572 62442\n50791 76288\n91829 100000\n67082 100000\n18539 27709\n28407 42563\n24653 36899\n56769 85232\n57508 86337\n21141 31652\n73089 100000\n52352 78597\n89211 100000\n20426 30591\n14741 22007\n93669 100000\n54185 81336\n54783 82230\n89543 100000\n30317 45458\n12079 18045\n19146 28635\n19728 29531\n30017 44987\n14651 21882\n44701 67125\n15991 23888\n32315 48460\n39017 58597\n42374 63655\n90981 100000\n71638 100000\n1212 1806\n68671 100000\n77833 100000\n40469 60766\n87001 100000\n72888 100000\n70084 100000\n3223 4794\n66391 99563\n4401 6573\n12232 18278\n44805 67281\n33448 50190\n32512 48765\n33483 50238\n86802 100000\n29665 44462\n51200 76894\n46879 70400\n68138 100000\n42697 64128\n93662 100000\n32636 48948\n74305 100000\n87100 100000\n93437 100000\n23868 35718\n7741 11541\n34795 52221\n81996 100000\n12332 18426\n21671 32451\n49781 74771\n8729 13011\n82661 100000\n40957 61505\n49858 74891\n42355 63632\n84920 100000\n90081 100000\n98216 100000\n30041 45024\n76418 100000\n81875 100000\n12606 18842\n22096 33091\n66010 99003\n76587 100000\n74359 100000\n43988 66068\n38896 58418\n70760 100000\n14814 22116\n61577 92401\n13978 20885\n2392 3554\n15041 22453\n33480 50234\n92147 100000\n27584 41328\n41905 62938\n31470 47192\n32695 49041\n19840 29696\n25104 37583\n66417 99601\n56066 84180\n40849 61344\n5344 7982\n63443 95166\n57528 86367\n23920 35795\n61770 92686\n5691 8487\n24588 36798\n91696 100000\n15482 23119\n63808 95727\n14008 20928\n11907 17787\n17041 25454\n38563 57897\n94123 100000\n4729 7059\n48599 72985\n6046 8999\n20607 30853\n89655 100000\n40678 61090\n91776 100000\n62212 93359\n13472 20134\n55149 82776\n81029 100000\n71894 100000\n9792 14598\n52801 79258\n47162 70830\n48820 73329\n16956 25326\n8846 13182\n58568 87928\n20652 30926\n20413 30575\n60346 90563\n97038 100000\n16828 25141\n15986 23881\n10348 15426\n82672 100000\n56445 84749\n81993 100000\n18694 27939\n37348 56040\n85440 100000\n64452 96684\n61692 92571\n77710 100000\n9999 14909\n52260 78464\n93809 100000\n54196 81353\n60252 90431\n18302 27361\n25945 38830\n77670 100000\n54693 82096\n1499 2241\n4953 7400\n94978 100000\n26521 39709\n11940 17833\n28815 43186\n25360 37965\n51454 77280\n1837 2734\n30961 46431\n41169 61831\n61529 92333\n1455 2168\n97899 100000\n17539 26214\n24901 37278\n52873 79365\n81944 100000\n37569 56384\n63900 95864\n61789 92718\n31899 47828\n12293 18364\n39942 59978\n44099 66230\n64672 97027\n34906 52376\n96102 100000\n8547 12733\n62632 93988\n22319 33425\n99202 100000\n98447 100000\n23874 35726\n77167 100000\n91983 100000\n57545 86395\n5744 8560\n75065 100000\n78635 100000\n15435 23047\n21234 31793\n62436 93686\n56200 84371\n16810 25113\n71321 100000\n2519 3750\n96867 100000\n90591 100000\n17408 26016\n43368 65154\n30796 46185\n98523 100000\n44994 67558\n72187 100000\n76717 100000\n61499 92287\n55622 83514\n37032 55578\n86486 100000\n58003 87076\n36013 54056\n67804 100000\n76293 100000\n14121 21097\n98489 100000\n61832 92779\n81947 100000\n18695 27941\n41699 62629\n75590 100000\n43764 65725\n7087 10560\n13951 20841\n57572 86434\n25613 38345\n71553 100000\n15203 22698\n45665 68566\n32297 48430\n57230 85927\n19020 28439\n48086 72230\n14556 21740\n77750 100000\n11881 17748\n4853 7245\n44262 66470\n54865 82347\n84129 100000\n44121 66260\n19891 29774\n25399 38027\n56797 85276\n7713 11504\n85046 100000\n96173 100000\n1948 2893\n75569 100000\n69227 100000\n88533 100000\n78973 100000\n88983 100000\n61206 91848\n59045 88641\n73396 100000\n2727 4062\n34823 52260\n3886 5798\n25723 38510\n38530 57851\n62830 94280\n65912 98855\n44361 66620\n8666 12915\n18317 27380\n12693 18973\n75410 100000\n14976 22351\n53535 80349\n47617 71534\n38904 58427\n76928 100000\n16826 25137\n17695 26440\n725 1070\n7507 11201\n72615 100000\n44837 67327\n9867 14708\n28680 42981\n49333 74098\n68400 100000\n45071 67677\n55421 83198\n21638 32400\n12778 19108\n81434 100000\n226 328\n54177 81325\n83893 100000\n26314 39398\n84165 100000\n19570 29283\n99705 100000\n91993 100000\n92835 100000\n62621 93971\n42665 64083\n89117 100000\n15157 22632\n75761 100000\n64242 96373\n47441 71255\n3016 4487\n23558 35256\n17671 26407\n58676 88096\n19307 28882\n38442 57713\n39919 59943\n26664 39927\n19987 29916\n49640 74559\n22952 34342\n26417 39553\n3252 4837\n73455 100000\n8411 12535\n14718 21973\n8498 12662\n61610 92446\n67235 100000\n59233 88918\n14222 21251\n87846 100000\n40658 61058\n8842 13176\n15863 23704\n87191 100000\n13318 19909\n27367 40989\n46204 69376\n45573 68422\n41907 62941\n99565 100000\n84127 100000\n56387 84664\n77477 100000\n72002 100000\n27400 41037\n42964 64539\n79431 100000\n27709 41515\n91068 100000\n88827 100000\n30909 46352\n53797 80748\n8422 12550\n74115 100000\n40801 61272\n64192 96294\n74911 100000\n95552 100000\n98118 100000\n95784 100000\n75270 100000\n56877 85402\n71243 100000\n40766 61218\n33988 50993\n75363 100000\n15873 23715\n2798 4166\n77141 100000\n51480 77317\n93293 100000\n12627 18873\n64378 96575\n25379 37994\n66967 100000\n66183 99255\n76735 100000\n72264 100000\n66445 99645\n46441 69735\n18955 28343\n38549 57876\n12686 18962\n37778 56689\n4845 7233\n98136 100000\n46685 70108\n22542 33748\n85685 100000\n7549 11265\n27215 40759\n40993 61563\n53685 80576\n7293 10878\n48566 72935\n36564 54869\n18927 28299\n44900 67417\n4517 6748\n59508 89329\n39932 59964\n83777 100000\n81458 100000\n47230 70936\n12379 18497\n61820 92760\n85405 100000\n22912 34283\n15487 23125\n53942 80969\n29975 44923\n14912 22253\n71174 100000\n90561 100000\n27523 41235\n46377 69639\n80111 100000\n12220 18260\n11759 17557\n48844 73362\n77055 100000\n51848 77861\n5601 8347\n60193 90346\n55254 82937\n19448 29095\n7813 11649\n27166 40688\n83209 100000\n69772 100000\n59410 89180\n75114 100000\n66215 99301\n85599 100000\n49643 74563\n34681 52044\n73408 100000\n75376 100000\n45201 67872\n36859 55322\n86108 100000\n86009 100000\n61329 92030\n38099 57178\n53817 80780\n52573 78918\n35938 53942\n15874 23716\n25170 37681\n66756 100000\n9081 13538\n56922 85466\n24731 37021\n91090 100000\n35302 52978\n8052 12005\n97932 100000\n52726 79153\n50254 75468\n95182 100000\n42693 64122\n41720 62661\n16720 24978\n70371 100000\n3962 5913\n22991 34403\n68637 100000\n66593 99870\n87819 100000\n10598 15792\n89768 100000\n69962 100000\n12596 18827\n88891 100000\n2833 4223\n34787 52210\n30877 46305\n11053 16497\n81541 100000\n3817 5699\n58144 87287\n98067 100000\n99735 100000\n88669 100000\n99459 100000\n9843 14671\n69971 100000\n61837 92786\n77543 100000\n99373 100000\n5264 7864\n63529 95302\n74295 100000\n54700 82106\n43256 64988\n20775 31112\n87247 100000\n63143 94732\n61520 92321\n84141 100000\n82595 100000\n37334 56019\n13548 20243\n73127 100000\n97163 100000\n72911 100000\n96585 100000\n81843 100000\n79403 100000\n79388 100000\n93582 100000\n31440 47150\n14935 22290\n39295 59009\n35072 52632\n38439 57709\n90328 100000\n25836 38676\n99781 100000\n54921 82434\n9684 14427\n7192 10723\n15891 23741\n94409 100000\n89145 100000\n63739 95616\n72003 100000\n25904 38771\n59172 88826\n68827 100000\n75 107\n38380 57623\n15141 22605\n86436 100000\n56359 84619\n65767 98639\n59890 89892\n34408 51619\n97923 100000\n94307 100000\n49646 74566\n95667 100000\n41389 62165\n5038 7529\n30008 44973\n78738 100000\n19378 28992\n76081 100000\n35636 53481\n48685 73121\n92657 100000\n72105 100000\n56381 84655\n35239 52888\n68509 100000\n3147 4683\n38117 57207\n47718 71687\n66181 99252\n34370 51559\n26394 39518\n87301 100000\n89252 100000\n14932 22286\n46283 69499\n89360 100000\n35261 52923\n88323 100000\n96388 100000\n43000 64592\n58210 87384\n44042 66143\n48524 72874\n81918 100000\n9484 14135\n40450 60735\n20281 30368\n38708 58124\n54971 82509\n16471 24604\n98727 100000\n47318 71068\n86069 100000\n32958 49446\n2383 3543\n80898 100000\n82756 100000\n86718 100000\n2864 4267\n71992 100000\n22177 33210\n59571 89423\n12010 17937\n86614 100000\n36722 55111\n13560 20260\n81226 100000\n14840 22149\n45092 67707\n63520 95288\n16840 25158\n78278 100000\n26540 39741\n48520 72869\n22097 33093\n95901 100000\n76173 100000\n38928 58463\n63183 94788\n49239 73958\n45431 68214\n34750 52153\n60695 91085\n52631 79011\n88446 100000\n38225 57380\n87629 100000\n70042 100000\n96610 100000\n69238 100000\n23239 34779\n55807 83795\n27694 41491\n68554 100000\n25156 37660\n30740 46100\n81197 100000\n84652 100000\n62540 93845\n63826 95756\n35927 53924\n23375 34987\n31281 46908\n63221 94843\n76968 100000\n26504 39685\n34947 52439\n151 212\n98993 100000\n61341 92049\n22088 33077\n79816 100000\n62100 93185\n47982 72077\n91361 100000\n26890 40267\n58113 87242\n38047 57097\n34724 52115\n42740 64192\n40770 61224\n97443 100000\n12571 18785\n60516 90817\n20920 31328\n93159 100000\n36297 54481\n87807 100000\n537 795\n85958 100000\n10787 16093\n25542 38238\n37945 56943\n36225 54381\n22409 33562\n83694 100000\n89670 100000\n69526 100000\n38983 58546\n45778 68736\n91213 100000\n3018 4490\n15569 23257\n47076 70697\n35560 53366\n39711 59636\n92823 100000\n92542 100000\n28098 42091\n85842 100000\n52169 78328\n68532 100000\n96099 100000\n48474 72798\n52939 79469\n40786 61250\n68234 100000\n26916 40310\n2421 3600\n84619 100000\n52024 78115\n78245 100000\n16548 24719\n66233 99329\n54310 81521\n27856 41733\n42168 63326\n16341 24410\n71439 100000\n72672 100000\n27196 40730\n3385 5031\n81929 100000\n75197 100000\n13213 19751\n16993 25385\n33060 49600\n65190 97789\n85368 100000\n34982 52496\n16154 24131\n6123 9107\n48174 72362\n69803 100000\n66332 99478\n96295 100000\n15321 22877\n14290 21350\n5658 8432\n4461 6660\n3257 4843\n81556 100000\n37699 56575\n75427 100000\n92534 100000\n72330 100000\n6266 9326\n40471 60769\n37510 56296\n2500 3718\n64094 96152\n66062 99082\n42976 64557\n16223 24230\n66198 99278\n38922 58453\n40668 61075\n79519 100000\n48084 72226\n68300 100000\n34318 51480\n20735 31053\n9798 14605\n71956 100000\n46962 70522\n1086 1607\n87313 100000\n72683 100000\n21326 31924\n44520 66858\n56456 84766\n96790 100000\n84591 100000\n11272 16824\n62510 93800\n86157 100000\n5952 8866\n30988 46471\n44442 66747\n71509 100000\n26580 39799\n71273 100000\n28620 42895\n36631 54973\n73952 100000\n89073 100000\n50329 75587\n56914 85458\n52616 78986\n8819 13144\n86202 100000\n78436 100000\n37859 56811\n91395 100000\n23969 35874\n97475 100000\n6884 10251\n87076 100000\n25940 38824\n1148 1705\n43977 66051\n62042 93100\n76288 100000\n30300 45429\n49653 74578\n66733 100000\n70798 100000\n10566 15743\n94470 100000\n61752 92658\n56388 84665\n51130 76788\n66752 100000\n4448 6642\n43660 65576\n58187 87349\n75845 100000\n19653 29415\n71069 100000\n53958 80993\n93114 100000\n97109 100000\n2903 4327\n51587 77471\n64233 96359\n1789 2664\n50399 75691\n21848 32715\n49785 74779\n40677 61088\n41060 61671\n27857 41735\n42166 63324\n57404 86186\n63525 95296\n75184 100000\n16348 24420\n95652 100000\n93227 100000\n30018 44988\n97022 100000\n6536 9733\n98526 100000\n38093 57169\n76713 100000\n25393 38016\n42910 64455\n29699 44512\n1453 2165\n29263 43855\n54780 82226\n82938 100000\n27861 41742\n55522 83349\n95734 100000\n5065 7572\n67986 100000\n23594 35306\n64131 96208\n83810 100000\n13753 20551\n91294 100000\n74629 100000\n59332 89066\n58902 88431\n86873 100000\n95944 100000\n45256 67953\n12030 17967\n62434 93684\n17824 26626\n82420 100000\n60392 90635\n32392 48583\n55716 83657\n27896 41797\n97784 100000\n57845 86837\n28202 42253\n38458 57734\n19880 29756\n77035 100000\n57952 86997\n23154 34645\n60147 90278\n53055 79633\n88021 100000\n43801 65781\n39469 59282\n7931 11819\n48830 73342\n22053 33020\n89668 100000\n95238 100000\n32901 49361\n34908 52379\n60429 90692\n84974 100000\n739 1092\n29304 43918\n12322 18411\n2771 4129\n34311 51471\n7301 10889\n85211 100000\n82048 100000\n75402 100000\n48384 72662\n8986 13396\n61904 92893\n57612 86491\n16285 24323\n48121 72286\n38778 58227\n12589 18815\n95215 100000\n62135 93239\n49296 74042\n62790 94220\n98961 100000\n85965 100000\n50711 76168\n79561 100000\n99409 100000\n62501 93788\n18362 27447\n28742 43071\n40588 60951\n25457 38111\n9775 14576\n58221 87401\n25330 37918\n6355 9460\n75807 100000\n76377 100000\n79866 100000\n541 800\n36455 54713\n72194 100000\n755 1115\n34007 51020\n44495 66823\n33077 49627\n89316 100000\n23964 35865\n85814 100000\n87670 100000\n6990 10412\n38352 57579\n10915 16285\n37522 56313\n27431 41088\n41576 62448\n17471 26118\n43824 65815\n33841 50780\n71350 100000\n69381 100000\n33118 49685\n50637 76064\n41481 62298\n74708 100000\n72710 100000\n26472 39636\n51513 77365\n55809 83799\n20092 30080\n65171 97762\n78460 100000\n10425 15534\n36685 55059\n43568 65436\n65187 97785\n17558 26239\n21226 31780\n19859 29722\n68567 100000\n62617 93964\n58333 87571\n95807 100000\n69779 100000\n54302 81508\n8571 12771\n45771 68725\n83973 100000\n51427 77239\n10045 14981\n10049 14986\n85569 100000\n65434 98151\n55754 83713\n440 641\n48856 73380\n89321 100000\n62411 93655\n48479 72805\n10222 15237\n75936 100000\n81645 100000\n78089 100000\n44423 66718\n74043 100000\n75073 100000\n92079 100000\n18712 27968\n33984 50985\n56058 84167\n74875 100000\n37942 56938\n31047 46551\n27542 41264\n55955 84015\n13247 19801\n40325 60543\n63240 94872\n73943 100000\n82200 100000\n2199 3275\n56486 84806\n43362 65145\n92175 100000\n21144 31657\n14041 20977\n2778 4139\n21025 31482\n5519 8230\n83998 100000\n6590 9810\n45541 68365\n21288 31874\n66800 100000\n78177 100000\n2942 4380\n95295 100000\n8784 13086\n71746 100000\n97619 100000\n21106 31601\n47642 71571\n61786 92712\n13289 19869\n36963 55469\n42266 63485\n15819 23638\n53731 80644\n74688 100000\n62138 93244\n13457 20113\n12837 19187\n74620 100000\n55658 83567\n13817 20644\n17760 26529\n39415 59198\n74368 100000\n92752 100000\n1165 1731\n17212 25721\n72853 100000\n76047 100000\n98378 100000\n92965 100000\n60210 90368\n81185 100000\n55273 82968\n50305 75550\n69155 100000\n60223 90389\n14485 21631\n4993 7463\n69111 100000\n85354 100000\n68590 100000\n2081 3094\n11608 17328\n12685 18960\n12776 19106\n28767 43108\n61646 92503\n52602 78963\n44810 67287\n46437 69729\n95440 100000\n95209 100000\n95447 100000\n96139 100000\n7035 10479\n10925 16302\n33417 50141\n35124 52715\n48298 72544\n66636 99932\n81817 100000\n52206 78383\n26029 38964\n57392 86167\n79699 100000\n93484 100000\n82230 100000\n99252 100000\n86609 100000\n88224 100000\n85139 100000\n10902 16264\n90407 100000\n76842 100000\n76649 100000\n35840 53796\n76284 100000\n73375 100000\n18775 28066\n41214 61901\n34659 52009\n91680 100000\n19054 28489\n58444 87733\n84972 100000\n25494 38165\n20563 30789\n98055 100000\n53078 79662\n6413 9544\n19062 28502\n52445 78729\n80540 100000\n89393 100000\n23822 35654\n50390 75676\n80771 100000\n3198 4758\n59461 89259\n36940 55435\n18575 27761\n90252 100000\n81644 100000\n59845 89824\n37824 56760\n60172 90316\n15345 22912\n17361 25940\n99650 100000\n11836 17682\n96586 100000\n17138 25605\n45681 68593\n19834 29688\n42281 63509\n83190 100000\n56426 84719\n67261 100000\n86833 100000\n78319 100000\n58614 87997\n80133 100000\n3606 5371\n4471 6674\n37394 56119\n95195 100000\n28389 42535\n96027 100000\n96818 100000\n22970 34368\n94726 100000\n65525 98286\n42622 64022\n48923 73482\n53858 80844\n20924 31335\n5525 8238\n8839 13171\n60342 90557\n12965 19376\n75592 100000\n56590 84961\n79308 100000\n24682 36948\n7291 10875\n3973 5928\n31080 46604\n51294 77037\n18980 28384\n90230 100000\n96364 100000\n34630 51963\n28667 42964\n93698 100000\n69102 100000\n29482 44179\n94903 100000\n94186 100000\n7901 11776\n22656 33914\n6323 9408\n26880 40254\n35480 53246\n79962 100000\n31551 47318\n84751 100000\n98827 100000\n55157 82788\n52756 79195\n18838 28161\n47112 70753\n71145 100000\n67288 100000\n61473 92249\n50976 76557\n23936 35818\n50863 76393\n38624 57993\n63218 94839\n79275 100000\n32862 49302\n51232 76945\n31126 46672\n64146 96227\n86402 100000\n90715 100000\n67993 100000\n64905 97368\n41961 63024\n3161 4704\n44904 67423\n47257 70980\n71475 100000\n86948 100000\n21132 31639\n72469 100000\n6303 9379\n89255 100000\n32288 48416\n40110 60217\n11846 17697\n8240 12285\n48814 73319\n4512 6739\n4851 7243\n10067 15011\n2285 3404\n30418 45611\n57630 86518\n58495 87815\n10053 14991\n89887 100000\n37537 56337\n66914 100000\n38578 57922\n72253 100000\n87049 100000\n68065 100000\n64924 97395\n12630 18876\n31228 46827\n24364 36462\n44065 66180\n13238 19787\n91303 100000\n42867 64385\n85620 100000\n58841 88341\n49732 74702\n65027 97554\n11905 17784\n39517 59352\n1569 2348\n51534 77395\n72234 100000\n52340 78579\n73369 100000\n94467 100000\n50726 76189\n88394 100000\n13322 19914\n38575 57918\n64733 97114\n98863 100000\n3133 4661\n50767 76255\n93777 100000\n33356 50054\n98496 100000\n42038 63131\n32053 48065\n31062 46574\n23689 35449\n8013 11945\n675 993\n27565 41300\n50444 75764\n54863 82344\n67582 100000\n58972 88533\n4144 6185\n2689 4005\n13383 20005\n64187 96287\n45943 68981\n30442 45648\n36345 54555\n91494 100000\n56905 85446\n26919 40315\n69356 100000\n95656 100000\n98324 100000\n7506 11200\n28635 42918\n65522 98282\n3678 5482\n2361 3510\n46344 69590\n57893 86911\n39718 59648\n59551 89392\n6426 9565\n75652 100000\n85662 100000\n27309 40902\n54351 81583\n53342 80065\n60431 90695\n33229 49856\n43884 65905\n17371 25956\n21546 32261\n71667 100000\n90165 100000\n23639 35375\n44977 67534\n39183 58846\n94859 100000\n39294 59008\n39145 58790\n22836 34173\n48077 72215\n66118 99156\n45477 68276\n21733 32540\n3834 5724\n36218 54371\n58123 87258\n58533 87874\n94805 100000\n5304 7924\n41246 61948\n42782 64260\n31134 46683\n72262 100000\n94325 100000\n71870 100000\n22694 33968\n8082 12050\n9503 14164\n2704 4029\n67193 100000\n67078 100000\n58426 87708\n8951 13342\n61834 92783\n2611 3892\n58429 87712\n19002 28413\n9592 14287\n15696 23454\n46350 69599\n98821 100000\n72227 100000\n34245 51376\n45849 68839\n82749 100000\n33466 50217\n9939 14823\n91278 100000\n63999 96010\n26378 39495\n62804 94241\n65439 98157\n20515 30720\n13652 20400\n48570 72942\n5662 8439\n3696 5511\n4363 6512\n76239 100000\n89674 100000\n56780 85250\n60416 90670\n98163 100000\n89572 100000\n53810 80769\n52265 78471\n31806 47686\n90572 100000\n38943 58485\n81 114\n63555 95339\n28855 43248\n92884 100000\n90209 100000\n24557 36749\n57550 86403\n80921 100000\n99182 100000\n55331 83061\n65671 98493\n52785 79234\n64125 96198\n86325 100000\n37453 56209\n15913 23774\n52262 78467\n95135 100000\n78337 100000\n35753 53662\n7138 10640\n32733 49095\n67158 100000\n76528 100000\n92137 100000\n87178 100000\n67287 100000\n19203 28719\n54117 81239\n27034 40490\n17612 26325\n69039 100000\n23324 34902\n61450 92211\n41057 61666\n95467 100000\n58594 87969\n78946 100000\n3880 5789\n35871 53843\n49457 74288\n98926 100000\n72237 100000\n51432 77246\n20601 30845\n86022 100000\n76963 100000\n16773 25061\n41823 62817\n83688 100000\n20737 31056\n67068 100000\n16010 23921\n85693 100000\n46312 69545\n9396 14015\n22259 33335\n38 55\n58982 88549\n66848 100000\n50995 76584\n74741 100000\n84535 100000\n4125 6157\n44170 66334\n17245 25767\n58878 88393\n72601 100000\n355 521\n85105 100000\n42733 64181\n20848 31218\n23498 35171\n67732 100000\n70123 100000\n81450 100000\n56734 85178\n26625 39866\n34100 51156\n59587 89449\n7585 11321\n97919 100000\n77257 100000\n95366 100000\n45796 68763\n53474 80262\n20265 30339\n21040 31502\n23679 35434\n4522 6757\n64957 97444\n55423 83202\n88091 100000\n82353 100000\n63802 95717\n84750 100000\n57617 86500\n93335 100000\n65063 97607\n33474 50228\n11420 17047\n88458 100000\n42325 63582\n97676 100000\n27917 41831\n14162 21164\n51715 77660\n19347 28945\n53195 79837\n45671 68578\n64879 97329\n26573 39789\n96719 100000\n6685 9948\n38772 58218\n88876 100000\n72420 100000\n34540 51824\n7605 11348\n41019 61603\n41490 62312\n54553 81889\n21608 32356\n60730 91141\n73198 100000\n12908 19286\n53310 80018\n30449 45658\n68548 100000\n99657 100000\n47789 71793\n44910 67433\n49790 74788\n70560 100000\n49168 73848\n45752 68695\n52618 78989\n81348 100000\n13102 19585\n26471 39635\n67879 100000\n32283 48409\n89270 100000\n30556 45821\n53879 80875\n20357 30489\n56407 84691\n90393 100000\n36231 54390\n72472 100000\n88731 100000\n74021 100000\n63159 94755\n79783 100000\n96024 100000\n2554 3802\n80672 100000\n23121 34597\n31916 47854\n9026 13456\n38325 57538\n58392 87662\n44085 66209\n96879 100000\n88400 100000\n31988 47966\n94272 100000\n41142 61790\n5373 8022\n72239 100000\n19122 28596\n64895 97354\n26931 40331\n22881 34240\n87597 100000\n79178 100000\n16687 24925\n28501 42717\n86084 100000\n85882 100000\n64578 96887\n51970 78037\n83484 100000\n38181 57304\n58635 88032\n33997 51006\n86973 100000\n89991 100000\n24602 36819\n50417 75721\n22141 33155\n20014 29961\n67365 100000\n51958 78019\n55916 83956\n73225 100000\n32925 49400\n24539 36721\n47576 71465\n93498 100000\n69455 100000\n85772 100000\n12466 18628\n68415 100000\n8517 12693\n58661 88073\n914 1348\n14506 21658\n9941 14827\n41503 62335\n18586 27780\n90433 100000\n73554 100000\n36773 55191\n44192 66369\n75031 100000\n31588 47375\n6363 9472\n52472 78765\n46589 69961\n19252 28795\n94035 100000\n96334 100000\n54115 81237\n72043 100000\n85072 100000\n49284 74024\n65991 98970\n35702 53582\n46607 69990\n79753 100000\n24924 37312\n38065 57124\n17459 26097\n61540 92349\n38572 57913\n47871 71912\n27409 41053\n76657 100000\n57865 86869\n45930 68963\n61132 91746\n2402 3573\n85421 100000\n63832 95764\n27563 41296\n42610 64006\n47722 71693\n57211 85901\n45987 69048\n49057 73688\n98875 100000\n87421 100000\n79889 100000\n37843 56787\n68757 100000\n61152 91776\n90434 100000\n49056 73686\n94472 100000\n72084 100000\n19059 28497\n24387 36496\n63435 95154\n2571 3826\n48938 73507\n8919 13294\n60641 91007\n96914 100000\n45821 68801\n60073 90168\n72041 100000\n33513 50284\n75113 100000\n57506 86333\n40798 61268\n76721 100000\n35441 53190\n7427 11083\n95399 100000\n77222 100000\n92276 100000\n5452 8135\n38200 57335\n35373 53081\n93684 100000\n2895 4316\n10607 15805\n3013 4483\n33348 50039\n55561 83417\n35464 53220\n22446 33615\n82330 100000\n72600 100000\n94125 100000\n12329 18420\n97641 100000\n37037 55585\n48831 73343\n4557 6813\n55829 83831\n19713 29509\n80713 100000\n41696 62625\n37781 56693\n73088 100000\n68531 100000\n3172 4719\n16093 24041\n6643 9886\n82693 100000\n91759 100000\n92274 100000\n62077 93150\n67812 100000\n77955 100000\n78660 100000\n51819 77817\n19019 28438\n50282 75511\n31775 47640\n16174 24157\n26240 39282\n54659 82045\n22933 34315\n99569 100000\n79015 100000\n66157 99215\n22582 33805\n54105 81222\n64298 96454\n42436 63751\n31136 46685\n42571 63947\n59221 88901\n13507 20184\n85254 100000\n94514 100000\n28464 42659\n70401 100000\n51872 77893\n60378 90613\n30388 45563\n33603 50420\n27345 40958\n48572 72945\n61885 92862\n64177 96272\n35272 52936\n19839 29694\n41011 61589\n7509 11204\n50858 76385\n88930 100000\n33888 50849\n81347 100000\n97785 100000\n5383 8038\n90804 100000\n41172 61835\n23377 34990\n57166 85832\n75066 100000\n31165 46730\n19739 29547\n97236 100000\n43752 65708\n48435 72740\n94725 100000\n93826 100000\n96713 100000\n56624 85013\n36369 54590\n68189 100000\n75168 100000\n14768 22047\n90592 100000\n38235 57397\n98817 100000\n41889 62915\n49302 74051\n24240 36274\n4651 6943\n44606 66977\n75325 100000\n92177 100000\n59833 89807\n63543 95321\n91108 100000\n35661 53515\n27164 40684\n34267 51405\n29563 44299\n31544 47308\n7408 11057\n19352 28951\n74236 100000\n40877 61387\n71393 100000\n71295 100000\n5069 7577\n35490 53261\n97674 100000\n64057 96095\n97558 100000\n95855 100000\n48295 72539\n25956 38847\n84069 100000\n29148 43681\n79509 100000\n64557 96854\n41956 63016\n51711 77655\n20660 30937\n61318 92013\n58132 87269\n78323 100000\n96517 100000\n76807 100000\n22072 33052\n59151 88797\n55412 83185\n80933 100000\n79470 100000\n45675 68585\n73230 100000\n29654 44442\n45650 68545\n41309 62046\n47228 70933\n29810 44676\n99077 100000\n83171 100000\n34167 51262\n26623 39863\n42073 63182\n42420 63729\n49088 73734\n89925 100000\n96355 100000\n29890 44794\n25202 37731\n84503 100000\n9266 13820\n50206 75399\n59053 88655\n33780 50691\n4650 6942\n48198 72400\n80633 100000\n22844 34184\n91572 100000\n17098 25542\n48864 73392\n59268 88970\n40653 61050\n67016 100000\n35622 53458\n40134 60255\n46699 70131\n64311 96472\n21540 32251\n38729 58154\n45383 68141\n9716 14477\n46678 70097\n3404 5058\n87047 100000\n54734 82158\n80221 100000\n18097 27045\n79899 100000\n21481 32166\n83059 100000\n16987 25374\n17664 26396\n55586 83455\n37210 55842\n46201 69371\n84240 100000\n55325 83051\n17016 25420\n42246 63457\n55166 82802\n29045 43532\n71080 100000\n33724 50601\n29051 43543\n56314 84550\n50979 76561\n62487 93767\n75104 100000\n95637 100000\n57817 86795\n57641 86532\n26159 39158\n49784 74777\n67904 100000\n99117 100000\n87398 100000\n59224 88907\n6183 9204\n4156 6203\n7071 10533\n64075 96123\n32146 48206\n71195 100000\n9644 14364\n84683 100000\n26805 40138\n53795 80744\n69168 100000\n75470 100000\n66138 99183\n56143 84287\n22159 33182\n56217 84394\n93170 100000\n9673 14409\n16104 24057\n92094 100000\n4536 6782\n79969 100000\n20384 30527\n4615 6893\n89342 100000\n41476 62291\n79778 100000\n16636 24850\n36221 54375\n2242 3339\n43288 65036\n31986 47963\n1326 1978\n99951 100000\n73216 100000\n74002 100000\n24355 36448\n10173 15167\n89228 100000\n29921 44837\n49489 74332\n50969 76547\n88532 100000\n75259 100000\n41090 61713\n59766 89706\n5518 8228\n43444 65267\n97963 100000\n12078 18043\n76285 100000\n22400 33545\n44880 67388\n96939 100000\n18970 28367\n38016 57054\n16148 24122\n17410 26019\n46695 70123\n39739 59679\n12268 18326\n47134 70789\n3796 5668\n97434 100000\n12095 18069\n56499 84826\n83390 100000\n2572 3828\n35845 53803\n73138 100000\n36996 55524\n7109 10595\n40856 61354\n41545 62406\n40409 60670\n25485 38154\n33320 49994\n35341 53038\n57425 86214\n82163 100000\n6067 9029\n67642 100000\n83855 100000\n76361 100000\n57473 86281\n88306 100000\n71431 100000\n41560 62427\n49742 74717\n5654 8427\n39158 58807\n72946 100000\n81806 100000\n4383 6545\n5805 8650\n17504 26167\n41013 61592\n74872 100000\n36025 54077\n97060 100000\n58161 87312\n77544 100000\n54378 81621\n78166 100000\n44780 67244\n98638 100000\n59213 88889\n29614 44378\n17366 25948\n5469 8156\n62660 94028\n87082 100000\n39922 59947\n17783 26561\n43658 65574\n6547 9750\n94404 100000\n33948 50933\n33159 49750\n29899 44808\n13661 20415\n64994 97504\n535 792\n21330 31930\n86559 100000\n24577 36780\n38601 57959\n57025 85618\n78919 100000\n46600 69976\n31348 47008\n32928 49404\n50000 75097\n89940 100000\n78505 100000\n46570 69935\n1862 2772\n79386 100000\n77261 100000\n86185 100000\n48093 72241\n61368 92085\n95576 100000\n97203 100000\n72339 100000\n79871 100000\n12804 19141\n95171 100000\n64178 96273\n33323 49999\n93637 100000\n14088 21047\n64801 97213\n72050 100000\n59573 89426\n23213 34738\n60084 90183\n13162 19672\n9617 14327\n60936 91455\n1668 2490\n75232 100000\n41472 62285\n51 74\n27795 41644\n97068 100000\n77098 100000\n50313 75561\n61036 91602\n96804 100000\n501 743\n74796 100000\n34131 51206\n42953 64521\n27404 41045\n45254 67951\n15124 22580\n21223 31775\n6291 9360\n66682 100000\n87896 100000\n77171 100000\n64542 96832\n89116 100000\n27078 40557\n80224 100000\n59563 89408\n62702 94091\n61033 91598\n61105 91702\n75561 100000\n3774 5630\n69050 100000\n77324 100000\n5506 8210\n47951 72026\n16403 24506\n19285 28850\n97330 100000\n53429 80194\n86159 100000\n12053 18004\n7607 11350\n55420 83197\n34605 51926\n42614 64010\n99114 100000\n92826 100000\n74826 100000\n29427 44100\n48660 73083\n25069 37532\n44890 67404\n24815 37144\n57036 85637\n66309 99445\n2331 3466\n98956 100000\n11903 17782\n6700 9969\n23445 35095\n94904 100000\n94000 100000\n74931 100000\n54728 82148\n78677 100000\n69449 100000\n79167 100000\n35591 53410\n91849 100000\n20136 30145\n62249 93415\n68406 100000\n19844 29702\n59741 89670\n8048 11999\n90682 100000\n26566 39778\n15083 22516\n17083 25516\n18389 27484\n22340 33452\n36419 54661\n67956 100000\n75440 100000\n38057 57112\n54820 82286\n45415 68191\n68930 100000\n10922 16297\n92559 100000\n53660 80537\n33031 49558\n26090 39053\n21870 32746\n76542 100000\n6501 9685\n43916 65957\n46178 69332\n71340 100000\n91123 100000\n12927 19315\n73199 100000\n17561 26245\n71395 100000\n83770 100000\n10529 15687\n72478 100000\n36900 55378\n59705 89620\n92526 100000\n14650 21880\n34742 52142\n36352 54566\n2159 3218\n72676 100000\n84042 100000\n35725 53620\n90859 100000\n64303 96461\n92948 100000\n48483 72813\n19128 28606\n5973 8899\n15634 23361\n48108 72263\n16757 25036\n79880 100000\n53346 80072\n23438 35086\n32975 49468\n64765 97160\n12164 18177\n55688 83615\n81855 100000\n54979 82521\n9891 14747\n61095 91687\n15640 23370\n16728 24990\n31090 46618\n7328 10933\n86788 100000\n70467 100000\n34778 52195\n15262 22788\n98516 100000\n37704 56583\n79761 100000\n51295 77039\n86666 100000\n89675 100000\n39236 58918\n13240 19790\n39850 59844\n9591 14285\n59568 89418\n76799 100000\n59301 89019\n94241 100000\n84311 100000\n9491 14146\n76999 100000\n84567 100000\n30789 46174\n49762 74744\n65932 98883\n29155 43692\n88639 100000\n99300 100000\n86125 100000\n50799 76300\n9093 13556\n54695 82098\n73047 100000\n97737 100000\n43038 64650\n54165 81308\n81471 100000\n42907 64449\n34986 52503\n48180 72370\n67440 100000\n82719 100000\n55600 83477\n32920 49392\n10029 14957\n9640 14359\n1515 2264\n32115 48159\n30934 46390\n90087 100000\n74605 100000\n252 365\n98731 100000\n65760 98629\n91446 100000\n66666 99979\n12793 19128\n63815 95739\n95300 100000\n10186 15185\n4860 7258\n44311 66542\n27783 41627\n8172 12186\n64911 97377\n31666 47493\n41320 62066\n47807 71817\n19188 28698\n9466 14111\n65094 97651\n18192 27192\n90635 100000\n92511 100000\n6664 9918\n9416 14046\n28817 43188\n10408 15508\n17835 26640\n79020 100000\n81065 100000\n92815 100000\n85114 100000\n18337 27410\n51986 78059\n94720 100000\n91756 100000\n63648 95480\n74492 100000\n36928 55418\n76554 100000\n84786 100000\n67099 100000\n51386 77178\n92134 100000\n29112 43629\n7558 11279\n2725 4060\n28795 43152\n62328 93535\n79497 100000\n6736 10023\n53246 79923\n83899 100000\n62550 93860\n86232 100000\n61893 92876\n63522 95292\n64406 96613\n9978 14880\n29368 44013\n38846 58340\n3699 5515\n98208 100000\n90717 100000\n88503 100000\n70895 100000\n57064 85674\n40737 61179\n82836 100000\n83194 100000\n33292 49945\n82261 100000\n91411 100000\n81466 100000\n7092 10568\n90998 100000\n25707 38490\n53787 80732\n68629 100000\n25240 37785\n37083 55651\n56317 84555\n42865 64382\n63868 95816\n55937 83989\n53845 80824\n6058 9014\n29936 44864\n45570 68416\n4780 7135\n96810 100000\n28921 43346\n94429 100000\n23911 35783\n41873 62890\n59459 89256\n20010 29955\n90261 100000\n54383 81629\n29839 44717\n51351 77123\n24341 36425\n6630 9869\n9809 14621\n24483 36638\n32602 48899\n94486 100000\n42045 63142\n5836 8693\n41193 61871\n25177 37693\n21443 32105\n43409 65216\n16589 24780\n30862 46283\n27712 41520\n35189 52812\n16801 25102\n10560 15734\n31560 47333\n77842 100000\n57345 86100\n42881 64406\n80836 100000\n56089 84214\n91207 100000\n72851 100000\n48327 72585\n45656 68552\n63329 95004\n33870 50824\n93416 100000\n82882 100000\n50469 75805\n37276 55940\n56907 85448\n28462 42655\n81178 100000\n13353 19960\n77 109\n78491 100000\n80608 100000\n62379 93608\n81384 100000\n91758 100000\n30252 45351\n65310 97968\n83448 100000\n44795 67267\n84357 100000\n38641 58017\n10522 15675\n53114 79714\n6390 9512\n98982 100000\n60853 91331\n82155 100000\n52717 79140\n5694 8491\n30355 45515\n11276 16832\n42469 63796\n26773 40092\n69893 100000\n99214 100000\n54470 81757\n33819 50745\n43304 65060\n89826 100000\n53737 80654\n93758 100000\n82506 100000\n13143 19645\n18637 27851\n95380 100000\n83127 100000\n16462 24589\n84640 100000\n38014 57051\n82861 100000\n52583 78934\n24023 35952\n52108 78235\n40250 60431\n82842 100000\n43381 65172\n85136 100000\n98425 100000\n72517 100000\n16563 24743\n53539 80356\n67745 100000\n983 1454\n98984 100000\n58975 88538\n22798 34120\n84097 100000\n84298 100000\n84976 100000\n9483 14134\n46074 69176\n82641 100000\n72695 100000\n43053 64672\n48095 72244\n57744 86681\n45097 67716\n85266 100000\n29935 44862\n38889 58408\n2763 4114\n41408 62194\n51102 76745\n58515 87846\n23753 35549\n33427 50157\n70885 100000\n51989 78063\n95925 100000\n7697 11480\n98845 100000\n29218 43792\n36313 54507\n35611 53442\n44234 66426\n25280 37845\n19353 28953\n39466 59276\n50642 76070\n19650 29410\n9662 14392\n58332 87570\n36627 54966\n30049 45035\n83090 100000\n10172 15166\n28370 42504\n60122 90239\n75417 100000\n68247 100000\n79540 100000\n40226 60395\n42664 64081\n18989 28399\n68076 100000\n88302 100000\n99980 100000\n6516 9704\n71419 100000\n20441 30610\n62571 93892\n1754 2613\n69349 100000\n88479 100000\n5299 7918\n24666 36921\n131 183\n90475 100000\n26728 40021\n7007 10435\n36544 54844\n98700 100000\n5378 8030\n65236 97855\n5345 7983\n64838 97268\n8507 12678\n73984 100000\n73064 100000\n13690 20457\n55025 82588\n36966 55474\n87139 100000\n38702 58114\n56709 85147\n30565 45833\n71400 100000\n25004 37440\n493 729\n62013 93052\n2930 4365\n65775 98650\n14794 22085\n4549 6801\n30451 45662\n97246 100000\n82147 100000\n1794 2670\n32136 48190\n23395 35018\n49258 73984\n72644 100000\n67765 100000\n38910 58435\n21455 32124\n57295 86025\n95642 100000\n8117 12102\n81026 100000\n59939 89966\n53075 79658\n62302 93497\n87573 100000\n92725 100000\n2326 3461\n1678 2500\n43375 65165\n35739 53641\n61716 92607\n11370 16973\n8886 13243\n97580 100000\n11894 17767\n28294 42388\n34604 51925\n21475 32157\n53764 80695\n58024 87106\n88345 100000\n67737 100000\n3802 5677\n48659 73081\n44585 66947\n65088 97642\n12334 18430\n91351 100000\n91092 100000\n88509 100000\n46381 69643\n6968 10378\n66840 100000\n73705 100000\n97155 100000\n74107 100000\n89140 100000\n13926 20806\n24999 37433\n95681 100000\n30738 46096\n57334 86082\n78558 100000\n93017 100000\n88060 100000\n36927 55417\n16615 24818\n57499 86321\n23951 35843\n65257 97883\n14626 21840\n78711 100000\n2225 3311\n92628 100000\n65826 98726\n33024 49547\n3713 5538\n84434 100000\n82118 100000\n88953 100000\n50112 75268\n69788 100000\n85356 100000\n99064 100000\n37013 55550\n82771 100000\n89774 100000\n60389 90630\n1659 2478\n66907 100000\n52519 78837\n15169 22649\n35301 52976\n11362 16961\n7286 10868\n89019 100000\n74191 100000\n5171 7728\n60398 90643\n6468 9635\n86959 100000\n12767 19093\n58386 87651\n83202 100000\n23420 35055\n85307 100000\n4562 6821\n65003 97516\n30212 45292\n74663 100000\n44081 66203\n25840 38680\n20623 30881\n62837 94289\n99530 100000\n95417 100000\n45191 67858\n60028 90101\n99704 100000\n68412 100000\n24819 37149\n25358 37961\n3353 4981\n35295 52969\n18638 27853\n89077 100000\n1975 2931\n8956 13350\n93247 100000\n7009 10438\n59436 89221\n55777 83748\n94961 100000\n62043 93101\n66531 99774\n54996 82549\n62093 93174\n30365 45526\n78228 100000\n67023 100000\n65906 98845\n67522 100000\n10044 14979\n92461 100000\n54725 82143\n72416 100000\n13716 20496\n37862 56815\n64720 97096\n15821 23642\n84819 100000\n60313 90515\n60969 91501\n36262 54434\n80996 100000\n46717 70159\n78903 100000\n44439 66743\n31721 47566\n32 46\n49497 74345\n39033 58619\n80390 100000\n45682 68594\n30443 45649\n82759 100000\n53290 79985\n57821 86801\n8109 12089\n71624 100000\n59519 89346\n21604 32351\n21389 32018\n2630 3919\n3089 4595\n88026 100000\n54955 82486\n45310 68034\n69700 100000\n97338 100000\n43847 65848\n31261 46874\n21991 32926\n48836 73349\n60192 90345\n71614 100000\n56218 84395\n4182 6245\n99190 100000\n58812 88299\n61276 91947\n95204 100000\n86276 100000\n97774 100000\n99003 100000\n47680 71632\n10875 16224\n87711 100000\n58970 88530\n13814 20638\n84068 100000\n8575 12778\n36181 54317\n58682 88106\n1274 1892\n25285 37853\n53357 80086\n71804 100000\n9144 13631\n62558 93872\n95167 100000\n17781 26558\n55019 82582\n43030 64638\n726 1072\n76208 100000\n16015 23927\n81560 100000\n88084 100000\n5388 8046\n56124 84263\n53303 80007\n86411 100000\n88286 100000\n84530 100000\n38661 58050\n71201 100000\n30267 45376\n94883 100000\n61746 92649\n44068 66186\n60884 91379\n93147 100000\n81205 100000\n47975 72065\n76201 100000\n40694 61115\n74746 100000\n76025 100000\n81854 100000\n7642 11404\n77082 100000\n57243 85945\n78693 100000\n53407 80159\n7407 11055\n32117 48162\n49089 73735\n38705 58120\n21952 32868\n19093 28549\n69793 100000\n50498 75848\n60005 90068\n60950 91474\n56787 85259\n29403 44062\n6317 9399\n39481 59302\n13432 20076\n92680 100000\n71050 100000\n62991 94510\n43932 65980\n88512 100000\n16294 24336\n61900 92887\n47692 71647\n61947 92954\n6659 9908\n94965 100000\n98805 100000\n78559 100000\n77642 100000\n80411 100000\n50870 76402\n47882 71928\n20333 30454\n91398 100000\n16991 25382\n48407 72698\n2628 3916\n57867 86872\n71993 100000\n52147 78293\n57107 85743\n36255 54423\n41003 61576\n16698 24944\n44892 67406\n40665 61069\n94973 100000\n79488 100000\n96320 100000\n50402 75697\n87434 100000\n53950 80982\n74037 100000\n16410 24515\n43692 65621\n85891 100000\n91671 100000\n72519 100000\n64921 97391\n46782 70251\n98057 100000\n15871 23713\n65928 98877\n96750 100000\n35714 53602\n28467 42662\n15380 22968\n9545 14222\n60918 91431\n3323 4937\n95130 100000\n5774 8602\n80662 100000\n76666 100000\n99638 100000\n12072 18034\n48984 73578\n74847 100000\n8185 12204\n72635 100000\n77447 100000\n22538 33741\n28566 42809\n95468 100000\n45419 68197\n61220 91868\n44165 66326\n91220 100000\n89560 100000\n53024 79593\n14241 21279\n22816 34145\n42943 64504\n51710 77653\n64706 97074\n28623 42900\n88565 100000\n27059 40529\n66607 99889\n89128 100000\n57875 86883\n53109 79707\n3966 5918\n8716 12995\n15448 23067\n98315 100000\n14564 21751\n71084 100000\n28975 43428\n79345 100000\n649 955\n92196 100000\n57481 86294\n29208 43777\n86440 100000\n90913 100000\n61259 91920\n28070 42051\n24343 36428\n22812 34141\n64810 97225\n41517 62360\n38297 57494\n87722 100000\n82151 100000\n94906 100000\n51764 77731\n22854 34197\n16775 25063\n53968 81009\n42940 64499\n65716 98564\n24248 36286\n27222 40768\n89194 100000\n93550 100000\n16107 24061\n69871 100000\n27777 41617\n61945 92951\n6340 9440\n73592 100000\n95395 100000\n39148 58794\n23556 35252\n36548 54850\n68209 100000\n61664 92530\n14287 21344\n73272 100000\n78037 100000\n90680 100000\n93999 100000\n57154 85812\n87746 100000\n7560 11282\n561 824\n50159 75336\n35153 52759\n76440 100000\n91355 100000\n23890 35751\n32351 48514\n38035 57081\n53984 81033\n18895 28253\n38182 57306\n70982 100000\n55455 83251\n42483 63818\n35388 53104\n77414 100000\n37967 56978\n92704 100000\n60511 90809\n98320 100000\n24745 37040\n13222 19762\n18979 28382\n98391 100000\n53454 80232\n80854 100000\n92621 100000\n92888 100000\n82626 100000\n11540 17231\n78479 100000\n83834 100000\n18490 27636\n24392 36503\n31118 46661\n36622 54958\n17972 26856\n86315 100000\n65974 98942\n14987 22367\n25871 38722\n44216 66401\n36152 54271\n46221 69400\n69043 100000\n76167 100000\n53625 80485\n10941 16325\n96190 100000\n80885 100000\n10870 16217\n85218 100000\n9870 14712\n1764 2628\n21775 32602\n35631 53473\n1633 2439\n78264 100000\n59141 88779\n11802 17628\n39065 58670\n40577 60933\n84179 100000\n32104 48142\n41043 61642\n23368 34976\n85005 100000\n61615 92454\n82450 100000\n83691 100000\n15811 23626\n64466 96709\n77929 100000\n9624 14337\n65489 98235\n30507 45748\n63391 95093\n69773 100000\n87731 100000\n52125 78262\n72787 100000\n75691 100000\n47089 70718\n83343 100000\n44822 67305\n97534 100000\n11110 16581\n73563 100000\n23374 34985\n52671 79068\n60336 90548\n71379 100000\n11554 17250\n6011 8953\n17255 25780\n49928 74988\n20330 30450\n78231 100000\n98363 100000\n59373 89128\n17794 26581\n28615 42887\n27124 40627\n36061 54135\n89853 100000\n72314 100000\n49589 74482\n40913 61438\n8603 12820\n13367 19979\n30285 45406\n84791 100000\n28978 43434\n97779 100000\n63562 95350\n93098 100000\n325 475\n4922 7351\n81571 100000\n74830 100000\n12207 18239\n98189 100000\n64612 96940\n68957 100000\n93514 100000\n55883 83907\n18166 27155\n3513 5229\n22903 34270\n37613 56451\n37271 55935\n67302 100000\n72822 100000\n68113 100000\n47350 71123\n38647 58029\n82883 100000\n79255 100000\n98267 100000\n60488 90776\n61367 92083\n69957 100000\n39356 59106\n70954 100000\n91844 100000\n24228 36256\n37623 56466\n3028 4504\n88514 100000\n34896 52362\n17799 26590\n50817 76327\n7160 10671\n23633 35366\n81723 100000\n68379 100000\n26492 39668\n94370 100000\n91584 100000\n2579 3840\n6306 9384\n92592 100000\n25681 38450\n57803 86774\n33525 50302\n20404 30561\n69740 100000\n6466 9632\n58090 87208\n32782 49171\n92829 100000\n14820 22123\n50235 75439\n2943 4381\n89854 100000\n71679 100000\n20175 30199\n357 523\n24417 36537\n43903 65937\n28614 42886\n34633 51969\n30616 45913\n84903 100000\n67981 100000\n20095 30085\n55650 83553\n36387 54612\n93568 100000\n57396 86174\n87268 100000\n53977 81023\n97091 100000\n39956 59997\n25427 38070\n78057 100000\n46368 69627\n17681 26421\n63407 95115\n50584 75981\n79081 100000\n80374 100000\n51769 77740\n21460 32132\n24467 36615\n18604 27806\n83052 100000\n47496 71347\n53907 80917\n11738 17524\n68729 100000\n43384 65176\n50071 75206\n53549 80369\n12153 18163\n28583 42836\n54061 81146\n42026 63115\n83719 100000\n97320 100000\n89209 100000\n79356 100000\n24296 36363\n15936 23804\n36397 54627\n22804 34129\n44429 66728\n51792 77778\n87381 100000\n33794 50711\n32346 48507\n8209 12241\n44078 66199\n23625 35354\n25141 37636\n59941 89968\n46041 69123\n59713 89629\n70649 100000\n95965 100000\n46299 69523\n17210 25719\n53494 80290\n44724 67161\n49356 74134\n46499 69824\n22435 33599\n72483 100000\n68115 100000\n8792 13098\n17000 25396\n37716 56601\n83741 100000\n40509 60831\n48213 72422\n37156 55760\n37705 56585\n11125 16604\n45795 68761\n22927 34306\n25397 38024\n88949 100000\n37129 55722\n62482 93759\n49498 74347\n40640 61033\n26405 39536\n62703 94092\n10161 15150\n45334 68071\n99046 100000\n99702 100000\n61451 92212\n96017 100000\n63406 95114\n73678 100000\n9946 14833\n30985 46467\n28694 43000\n61560 92377\n47695 71652\n15982 23874\n88070 100000\n74065 100000\n35349 53048\n52114 78244\n56611 84992\n13310 19897\n77720 100000\n35751 53658\n49887 74934\n99311 100000\n82301 100000\n96980 100000\n59969 90015\n62457 93719\n11880 17746\n55639 83537\n58185 87346\n89677 100000\n95981 100000\n7755 11561\n41876 62894\n80830 100000\n866 1273\n66329 99474\n62240 93403\n33874 50829\n69255 100000\n733 1082\n26844 40200\n54076 81173\n486 719\n32443 48660\n81785 100000\n90449 100000\n93092 100000\n31337 46992\n49327 74089\n90533 100000\n98037 100000\n45882 68890\n52287 78499\n84741 100000\n69262 100000\n81942 100000\n45086 67698\n46658 70061\n9926 14803\n4578 6846\n10118 15088\n45410 68183\n2767 4122\n18060 26985\n41789 62764\n12568 18780\n68237 100000\n26921 40318\n96006 100000\n88161 100000\n69160 100000\n50626 76048\n50670 76110\n21000 31447\n21104 31597\n1987 2949\n21022 31478\n87104 100000\n39284 58993\n23992 35907\n74782 100000\n42834 64338\n43611 65500\n12547 18750\n10114 15084\n84929 100000\n84747 100000\n49427 74242\n45848 68838\n65451 98175\n1299 1935\n61518 92317\n39483 59306\n26583 39804\n74063 100000\n70791 100000\n42651 64064\n7786 11608\n60913 91425\n34808 52238\n30477 45702\n65154 97735\n41150 61802\n43978 66052\n74701 100000\n2466 3667\n14695 21943\n17542 26219\n23124 34601\n93015 100000\n1220 1816\n58439 87726\n84065 100000\n24499 36664\n41102 61733\n67596 100000\n46824 70319\n3893 5807\n50438 75754\n82198 100000\n1828 2719\n85122 100000\n25279 37844\n46205 69377\n4181 6243\n67876 100000\n44826 67310\n28611 42882\n61258 91919\n90517 100000\n98794 100000\n19922 29818\n69486 100000\n28836 43218\n50864 76394\n73366 100000\n80313 100000\n99219 100000\n17306 25855\n85505 100000\n52253 78451\n1751 2609\n41460 62267\n60273 90459\n57823 86805\n14093 21053\n73774 100000\n36834 55284\n97860 100000\n47969 72057\n26726 40017\n74870 100000\n6616 9850\n71479 100000\n53603 80454\n29236 43818\n34794 52220\n90331 100000\n5010 7490\n49316 74074\n93622 100000\n73784 100000\n31438 47147\n2113 3147\n97494 100000\n87543 100000\n7799 11628\n90972 100000\n90274 100000\n21669 32447\n18567 27749\n85843 100000\n38023 57064\n39106 58727\n22480 33663\n17123 25580\n93718 100000\n17535 26207\n34936 52423\n25899 38764\n81482 100000\n66040 99051\n39772 59730\n53945 80973\n95543 100000\n85010 100000\n24130 36103\n67905 100000\n25604 38334\n98947 100000\n66530 99772\n80759 100000\n1823 2711\n72553 100000\n10223 15239\n41929 62974\n84500 100000\n92357 100000\n94921 100000\n50770 76258\n52990 79545\n87866 100000\n41343 62096\n67990 100000\n5120 7653\n58889 88412\n94873 100000\n12006 17933\n91310 100000\n17069 25498\n21017 31471\n30662 45987\n13674 20434\n24967 37381\n7362 10986\n90441 100000\n57882 86894\n55305 83020\n18731 27999\n36407 54644\n85475 100000\n66513 99750\n85703 100000\n54860 82341\n22191 33232\n85541 100000\n76234 100000\n47791 71796\n86601 100000\n69932 100000\n93443 100000\n23388 35006\n30999 46487\n39123 58754\n56122 84259\n10726 15997\n75439 100000\n99744 100000\n54894 82394\n48645 73058\n23119 34593\n40916 61442\n61246 91902\n77597 100000\n7033 10475\n37570 56386\n82691 100000\n45548 68379\n81905 100000\n66067 99090\n81750 100000\n86489 100000\n86078 100000\n60004 90066\n10930 16308\n75488 100000\n80857 100000\n38930 58466\n8568 12767\n90882 100000\n18384 27477\n14684 21929\n79908 100000\n41583 62455\n97302 100000\n62906 94390\n61250 91908\n95611 100000\n87022 100000\n72747 100000\n70292 100000\n59064 88669\n56720 85160\n1833 2727\n94860 100000\n46170 69320\n14177 21184\n33285 49935\n64847 97283\n69460 100000\n42481 63816\n7804 11635\n75340 100000\n18379 27471\n46738 70187\n95598 100000\n15066 22491\n15400 22998\n77748 100000\n22689 33962\n95017 100000\n97944 100000\n35135 52732\n42088 63206\n76399 100000\n82360 100000\n17748 26513\n88959 100000\n6478 9652\n99393 100000\n70197 100000\n88066 100000\n14841 22151\n26652 39909\n33358 50057\n49128 73792\n26915 40308\n34914 52388\n5567 8298\n15669 23413\n40448 60731\n13462 20120\n75448 100000\n89288 100000\n20326 30444\n17262 25791\n2705 4031\n2375 3531\n13906 20777\n8076 12040\n24734 37025\n93702 100000\n72743 100000\n82309 100000\n16320 24375\n86239 100000\n22936 34320\n48692 73132\n48463 72782\n38260 57437\n60558 90882\n83896 100000\n84583 100000\n23536 35224\n19630 29378\n27568 41305\n46978 70545\n75055 100000\n67415 100000\n40698 61121\n86180 100000\n7900 11774\n59655 89548\n74942 100000\n83289 100000\n33338 50022\n60080 90177\n95838 100000\n13896 20765\n74453 100000\n87614 100000\n63708 95568\n93779 100000\n41496 62323\n29738 44569\n97684 100000\n36367 54587\n13115 19602\n3055 4545\n29251 43838\n79171 100000\n60527 90834\n29295 43905\n20396 30546\n93407 100000\n62627 93981\n35372 53079\n1493 2229\n82311 100000\n28696 43002\n45463 68258\n34058 51100\n76903 100000\n80212 100000\n54824 82291\n52894 79399\n34017 51036\n39501 59330\n84032 100000\n49943 75008\n18425 27540\n46626 70017\n63639 95464\n88713 100000\n62517 93811\n82082 100000\n12564 18773\n64213 96327\n5088 7606\n88559 100000\n88945 100000\n85773 100000\n20198 30234\n84251 100000\n30874 46301\n81074 100000\n69873 100000\n17719 26474\n46019 69094\n84181 100000\n46296 69518\n24085 36040\n29308 43924\n23917 35790\n34280 51426\n1753 2612\n93573 100000\n85450 100000\n73357 100000\n88328 100000\n62220 93371\n21621 32374\n982 1452\n13081 19553\n16815 25121\n92566 100000\n17987 26875\n1096 1622\n97127 100000\n4271 6375\n27726 41541\n69577 100000\n82370 100000\n12443 18591\n14690 21937\n24234 36265\n11382 16993\n5431 8108\n82611 100000\n79966 100000\n30241 45335\n14980 22357\n70231 100000\n4674 6978\n16517 24675\n4397 6566\n54475 81767\n93632 100000\n43948 66003\n41994 63070\n34325 51492\n78786 100000\n92059 100000\n37411 56146\n17407 26014\n1971 2925\n85274 100000\n72682 100000\n45624 68503\n12275 18336\n50826 76341\n5491 8187\n67606 100000\n96277 100000\n8302 12370\n54914 82423\n13244 19796\n72864 100000\n33237 49864\n16045 23967\n79841 100000\n47848 71876\n51897 77928\n29637 44414\n93317 100000\n23807 35631\n14614 21821\n89 124\n25777 38587\n23304 34871\n49772 74758\n7548 11263\n89249 100000\n36679 55049\n65175 97767\n30407 45595\n55508 83330\n22178 33212\n81426 100000\n35492 53263\n52440 78722\n10953 16345\n32439 48654\n78592 100000\n82730 100000\n88491 100000\n83857 100000\n74361 100000\n65832 98733\n15920 23782\n65793 98675\n29591 44343\n83301 100000\n61601 92434\n32968 49459\n1221 1817\n53611 80466\n7881 11748\n46333 69577\n47122 70770\n30658 45980\n32357 48522\n50687 76132\n8529 12710\n75411 100000\n48080 72220\n83815 100000\n15232 22744\n44369 66632\n84414 100000\n46938 70484\n10913 16281\n12963 19374\n82758 100000\n18237 27262\n77861 100000\n52807 79266\n13566 20269\n7811 11646\n16788 25084\n35161 52773\n49786 74781\n45435 68220\n73248 100000\n38944 58486\n34456 51696\n11860 17715\n98451 100000\n22783 34097\n75805 100000\n59527 89357\n71593 100000\n97185 100000\n74687 100000\n52193 78365\n51599 77490\n12920 19306\n45422 68201\n92475 100000\n8867 13216\n13463 20122\n88656 100000\n61381 92103\n89711 100000\n52565 78906\n83545 100000\n24922 37309\n55347 83086\n70027 100000\n22944 34331\n7827 11670\n35537 53330\n3637 5420\n23048 34482\n30990 46474\n80360 100000\n69914 100000\n77095 100000\n34663 52016\n51874 77896\n40603 60973\n78704 100000\n14155 21151\n277 405\n74990 100000\n34281 51427\n53567 80393\n41176 61843\n87719 100000\n77769 100000\n98772 100000\n60692 91080\n35424 53159\n57122 85765\n95237 100000\n27705 41508\n35878 53855\n21987 32921\n44579 66938\n71352 100000\n6944 10343\n513 758\n54114 81235\n73355 100000\n10139 15117\n44166 66328\n20043 30005\n88943 100000\n35556 53359\n61537 92345\n34196 51306\n83265 100000\n68946 100000\n75459 100000\n41266 61981\n2283 3401\n50643 76072\n66529 99771\n8483 12641\n11458 17107\n70395 100000\n44031 66128\n20148 30162\n58040 87130\n20784 31127\n57015 85606\n92202 100000\n6926 10317\n57444 86237\n49384 74178\n72861 100000\n15782 23583\n57969 87022\n40308 60521\n39512 59344\n68099 100000\n75895 100000\n72149 100000\n26796 40127\n76967 100000\n94327 100000\n57840 86828\n29875 44770\n34557 51852\n77513 100000\n83947 100000\n32911 49378\n39359 59110\n56564 84924\n82930 100000\n72858 100000\n40177 60317\n8461 12609\n71943 100000\n48274 72513\n57145 85798\n18114 27073\n99701 100000\n59389 89152\n80328 100000\n74309 100000\n56861 85376\n78840 100000\n99561 100000\n55310 83027\n64363 96550\n44306 66534\n6406 9535\n13356 19964\n49724 74691\n55575 83436\n43477 65310\n9292 13862\n84709 100000\n253 366\n98692 100000\n39463 59271\n59295 89010\n852 1255\n19049 28481\n28798 43157\n11519 17199\n5142 7689\n47204 70897\n5542 8263\n62551 93861\n64117 96187\n25221 37757\n31321 46967\n29939 44868\n24944 37345\n81213 100000\n40382 60631\n12151 18160\n68156 100000\n2830 4219\n39884 59890\n34708 52086\n4030 6010\n25233 37774\n55923 83968\n66974 100000\n42928 64481\n82982 100000\n11882 17749\n47068 70686\n33487 50244\n73694 100000\n85639 100000\n1214 1809\n13756 20554\n35987 54017\n31520 47268\n21660 32434\n50065 75197\n19446 29092\n74944 100000\n32608 48908\n28647 42936\n40768 61221\n121 165\n69958 100000\n72909 100000\n37596 56424\n3682 5489\n51225 76934\n22422 33580\n54690 82091\n40625 61011\n20913 31318\n74506 100000\n69252 100000\n73353 100000\n81889 100000\n54025 81095\n62277 93459\n20918 31325\n6706 9976\n32816 49224\n40732 61171\n64469 96714\n61725 92620\n79808 100000\n25902 38768\n26612 39847\n85542 100000\n37697 56573\n59299 89015\n87375 100000\n60755 91179\n63141 94730\n3453 5133\n86932 100000\n91381 100000\n13646 20392\n40069 60163\n37174 55787\n97890 100000\n34571 51874\n82924 100000\n87535 100000\n84939 100000\n37523 56315\n28728 43051\n26249 39298\n9141 13627\n28196 42242\n68911 100000\n75429 100000\n6236 9279\n66038 99048\n79182 100000\n68674 100000\n70540 100000\n31818 47706\n77019 100000\n59197 88866\n37730 56621\n75400 100000\n58692 88119\n48424 72721\n22047 33011\n89265 100000\n74986 100000\n58229 87414\n73904 100000\n13024 19464\n56821 85313\n40219 60385\n73309 100000\n68291 100000\n86881 100000\n40356 60589\n10576 15756\n916 1352\n60656 91030\n48710 73161\n74811 100000\n90775 100000\n46033 69115\n9251 13798\n58712 88153\n50709 76165\n65972 98939\n21916 32814\n35618 53453\n47353 71127\n97050 100000\n78172 100000\n77120 100000\n14277 21329\n94570 100000\n40826 61309\n51037 76645\n20154 30169\n76989 100000\n15245 22765\n32075 48099\n18466 27599\n45859 68854\n21721 32524\n37264 55926\n83556 100000\n73628 100000\n10014 14931\n97057 100000\n28557 42796\n38001 57029\n21808 32650\n62698 94086\n3075 4573\n36875 55343\n85204 100000\n33171 49768\n85042 100000\n95303 100000\n188 271\n47455 71277\n12715 19011\n11787 17603\n62147 93257\n36389 54615\n4876 7284\n8242 12288\n57100 85733\n56335 84582\n24823 37155\n50337 75599\n95953 100000\n38560 57892\n12907 19285\n34301 51457\n91430 100000\n7479 11159\n30121 45146\n62543 93850\n18863 28200\n78621 100000\n71327 100000\n79938 100000\n3633 5415\n126 175\n72850 100000\n78080 100000\n24453 36593\n80370 100000\n2808 4184\n19504 29182\n46551 69906\n89427 100000\n98364 100000\n64275 96423\n55208 82863\n96840 100000\n14899 22236\n93830 100000\n64925 97396\n29468 44156\n32587 48876\n2125 3166\n57795 86760\n68071 100000\n71589 100000\n91061 100000\n1435 2137\n47950 72025\n72895 100000\n10515 15666\n45034 67624\n96832 100000\n33253 49887\n64005 96020\n50432 75745\n47833 71855\n58126 87262\n23802 35623\n34680 52043\n66644 99945\n37695 56570\n63587 95387\n93274 100000\n86984 100000\n29503 44207\n98973 100000\n9425 14058\n5692 8489\n90450 100000\n89148 100000\n66810 100000\n28117 42119\n11813 17647\n2759 4107\n66256 99368\n70272 100000\n44517 66854\n40311 60524\n87541 100000\n28345 42469\n17577 26269\n25529 38218\n8962 13360\n48635 73041\n81614 100000\n75577 100000\n31264 46879\n17905 26751\n47099 70732\n57369 86134\n66068 99091\n20111 30106\n99187 100000\n57531 86372\n91325 100000\n13563 20264\n52250 78447\n50321 75575\n9344 13936\n9765 14558\n40610 60985\n37235 55882\n84829 100000\n75111 100000\n58465 87767\n68790 100000\n22173 33203\n87853 100000\n36866 55329\n27926 41843\n42534 63887\n93845 100000\n20797 31149\n30303 45434\n11148 16636\n45374 68125\n13565 20267\n17926 26784\n39338 59075\n52089 78207\n90731 100000\n70619 100000\n78644 100000\n76949 100000\n73363 100000\n41083 61705\n87876 100000\n70834 100000\n36263 54436\n14338 21420\n93243 100000\n9195 13707\n49657 74585\n37057 55615\n93341 100000\n43041 64656\n32153 48217\n95508 100000\n25548 38245\n58326 87561\n52904 79412\n73286 100000\n38704 58118\n49707 74664\n50430 75742\n90551 100000\n46479 69793\n22992 34404\n91845 100000\n51801 77792\n581 851\n8487 12647\n12336 18433\n47577 71466\n56632 85028\n84977 100000\n81140 100000\n67763 100000\n49373 74159\n67113 100000\n41411 62199\n77092 100000\n54446 81722\n65824 98724\n11643 17379\n43293 65045\n65121 97691\n28980 43438\n70527 100000\n49580 74469\n59753 89689\n55505 83326\n40333 60553\n44226 66416\n13423 20064\n34755 52161\n91562 100000\n95794 100000\n92842 100000\n82034 100000\n54565 81908\n17557 26238\n27011 40455\n65743 98606\n82945 100000\n28595 42857\n27608 41363\n41300 62030\n62053 93116\n75875 100000\n46446 69744\n8475 12631\n59662 89558\n63334 95012\n73302 100000\n18079 27018\n25431 38076\n72336 100000\n48848 73368\n10584 15768\n24820 37150\n17383 25974\n35417 53149\n3908 5830\n84739 100000\n1019 1505\n25398 38026\n27738 41562\n17771 26543\n49105 73756\n98542 100000\n14516 21675\n93660 100000\n65431 98147\n7489 11174\n60529 90838\n94773 100000\n15845 23678\n14852 22166\n49598 74496\n61674 92545\n99167 100000\n4724 7051\n46906 70439\n31101 46635\n11809 17640\n34470 51715\n58242 87432\n18241 27267\n54595 81950\n72249 100000\n19869 29737\n23555 35251\n91884 100000\n13292 19872\n79976 100000\n60161 90301\n66787 100000\n11805 17633\n38334 57551\n42572 63948\n46562 69922\n40049 60133\n91539 100000\n12708 18999\n99089 100000\n4957 7405\n8757 13049\n41478 62294\n46478 69792\n73991 100000\n91523 100000\n78361 100000\n9627 14340\n96293 100000\n48978 73568\n13523 20208\n15700 23461\n36122 54229\n57303 86038\n74555 100000\n14292 21353\n4352 6498\n58005 87079\n10411 15512\n47385 71174\n56098 84226\n51750 77708\n2944 4382\n60090 90191\n48422 72719\n93486 100000\n51622 77526\n66263 99377\n74806 100000\n43554 65415\n93685 100000\n83412 100000\n87007 100000\n36657 55014\n56354 84613\n97261 100000\n42719 64161\n3960 5911\n16035 23952\n6575 9792\n54421 81686\n34106 51165\n68224 100000\n38504 57807\n89535 100000\n410 599\n65028 97556\n16536 24703\n60588 90931\n56209 84382\n26066 39017\n81686 100000\n90173 100000\n65916 98860\n63850 95788\n50937 76497\n10683 15920\n62072 93143\n47590 71490\n64172 96264\n7682 11460\n12396 18525\n11377 16985\n3197 4756\n24799 37120\n4584 6853\n44004 66091\n31328 46978\n59815 89781\n12086 18055\n14111 21082\n61053 91627\n57754 86696\n93775 100000\n28275 42362\n18162 27150\n38374 57614\n63893 95854\n99460 100000\n86145 100000\n19846 29704\n18975 28375\n39495 59322\n19426 29060\n13283 19861\n60008 90072\n54048 81126\n3087 4593\n39632 59523\n75300 100000\n84029 100000\n41055 61662\n42385 63673\n89547 100000\n6572 9788\n24779 37088\n25218 37752\n87649 100000\n8027 11966\n11739 17526\n17499 26160\n60711 91112\n2667 3972\n39444 59243\n4088 6096\n66506 99740\n76646 100000\n99216 100000\n52419 78690\n70363 100000\n79589 100000\n64576 96884\n52648 79033\n20875 31263\n76092 100000\n50945 76509\n25475 38140\n9037 13471\n12214 18251\n5278 7887\n25214 37746\n11710 17481\n4172 6230\n4974 7432\n86338 100000\n20195 30229\n29567 44305\n61345 92055\n17109 25556\n65237 97856\n59190 88855\n54634 82006\n5680 8467\n86283 100000\n43023 64626\n27110 40605\n15096 22536\n73154 100000\n91447 100000\n43182 64875\n41940 62991\n43915 65955\n95397 100000\n99408 100000\n32376 48555\n56920 85464\n90260 100000\n38431 57697\n13184 19706\n88912 100000\n86101 100000\n22016 32966\n93097 100000\n54049 81128\n94027 100000\n53901 80907\n83079 100000\n99038 100000\n14163 21166\n19914 29806\n51060 76681\n56900 85439\n46424 69710\n38558 57889\n50909 76455\n32990 49492\n47195 70882\n10438 15550\n39150 58796\n18674 27908\n37341 56029\n42705 64140\n69481 100000\n58449 87742\n28201 42251\n61272 91940\n24342 36426\n25893 38755\n64996 97506\n53900 80906\n20479 30662\n809 1194\n56677 85097\n77877 100000\n90085 100000\n10058 14997\n58798 88274\n40564 60913\n77083 100000\n38324 57536\n70638 100000\n85146 100000\n37937 56931\n23508 35185\n36920 55408\n58086 87202\n97191 100000\n54200 81359\n94176 100000\n71477 100000\n69640 100000\n24108 36073\n94030 100000\n41973 63041\n36114 54216\n44245 66444\n13342 19943\n5476 8166\n97661 100000\n45534 68356\n1484 2215\n45901 68918\n55722 83665\n91214 100000\n52796 79252\n19632 29381\n48278 72518\n29065 43563\n79558 100000\n76104 100000\n66856 100000\n92755 100000\n74058 100000\n37595 56423\n17679 26418\n77142 100000\n4189 6255\n26682 39952\n84280 100000\n85216 100000\n95180 100000\n59469 89270\n96049 100000\n57386 86160\n51473 77309\n45834 68822\n32854 49287\n84164 100000\n7315 10910\n5785 8622\n56008 84088\n90032 100000\n15858 23696\n98848 100000\n32856 49290\n26765 40078\n34977 52488\n28494 42706\n13540 20231\n30491 45724\n7305 10895\n32768 49149\n31983 47958\n78183 100000\n37485 56260\n28838 43222\n97498 100000\n98278 100000\n68387 100000\n39439 59234\n52676 79075\n84593 100000\n16787 25082\n73618 100000\n47927 71990\n44888 67401\n85212 100000\n29900 44809\n13066 19525\n84728 100000\n26763 40075\n29976 44925\n27266 40837\n93952 100000\n42265 63483\n39812 59786\n36730 55122\n69454 100000\n27069 40544\n32362 48530\n13866 20719\n20381 30523\n26309 39389\n52961 79501\n76400 100000\n10059 14998\n71467 100000\n11174 16675\n72568 100000\n9382 13991\n87951 100000\n36427 54673\n84088 100000\n44901 67418\n36230 54388\n13903 20774\n51551 77419\n76032 100000\n16960 25333\n69660 100000\n72506 100000\n70620 100000\n12389 18515\n43363 65147\n15537 23206\n42968 64545\n29613 44377\n84531 100000\n56398 84677\n71997 100000\n86540 100000\n51498 77341\n39760 59710\n66827 100000\n97735 100000\n44863 67365\n87515 100000\n51228 76938\n42710 64147\n58691 88117\n30700 46041\n76513 100000\n86860 100000\n76841 100000\n9977 14879\n558 819\n73037 100000\n45660 68558\n52408 78674\n74382 100000\n95924 100000\n50781 76273\n30289 45413\n26757 40066\n38120 57212\n85386 100000\n64453 96685\n17294 25839\n26253 39305\n6396 9521\n53861 80848\n61973 92992\n24016 35943\n28878 43280\n94444 100000\n64574 96881\n92857 100000\n61530 92335\n58129 87265\n72477 100000\n51765 77733\n58456 87753\n98106 100000\n86487 100000\n369 539\n95926 100000\n98304 100000\n68711 100000\n91516 100000\n80041 100000\n71324 100000\n65290 97938\n93204 100000\n35227 52870\n84642 100000\n21554 32273\n60551 90871\n38153 57263\n63608 95419\n80329 100000\n75250 100000\n59762 89701\n81011 100000\n13734 20522\n46942 70491\n32463 48690\n33421 50148\n79169 100000\n31276 46899\n94606 100000\n48973 73559\n74090 100000\n69439 100000\n1380 2058\n63725 95595\n42674 64095\n99733 100000\n79775 100000\n10556 15728\n43862 65871\n76526 100000\n64267 96411\n30460 45676\n26214 39242\n27937 41857\n63831 95762\n33961 50953\n23346 34939\n29561 44296\n59040 88633\n60081 90179\n61223 91871\n3815 5696\n18804 28114\n76050 100000\n79772 100000\n68269 100000\n56436 84735\n89815 100000\n24265 36312\n45275 67981\n68420 100000\n30924 46374\n32468 48698\n37811 56741\n95412 100000\n77962 100000\n11445 17087\n8540 12725\n38479 57769\n88304 100000\n5310 7931\n91778 100000\n53516 80320\n47267 70999\n61489 92272\n37953 56953\n36195 54337\n30345 45504\n67705 100000\n66001 98988\n16679 24916\n34783 52203\n44980 67538\n16385 24477\n94008 100000\n32589 48879\n43433 65251\n54149 81286\n86014 100000\n22 31\n30097 45107\n9507 14170\n8738 13022\n36644 54993\n40401 60658\n66323 99465\n54442 81716\n14085 21042\n87987 100000\n88329 100000\n68600 100000\n39668 59574\n65272 97908\n53531 80344\n92949 100000\n99922 100000\n63032 94570\n11716 17492\n79337 100000\n35472 53232\n85161 100000\n73101 100000\n22502 33692\n76701 100000\n27050 40514\n83244 100000\n33313 49980\n58861 88369\n3762 5611\n12865 19226\n70039 100000\n24644 36883\n4283 6394\n36414 54653\n17652 26380\n21162 31684\n4919 7346\n77669 100000\n26360 39467\n19135 28616\n7880 11746\n1001 1476\n51722 77670\n29648 44432\n61799 92731\n75953 100000\n25084 37553\n5697 8495\n5112 7643\n30224 45309\n27072 40548\n9610 14316\n46318 69553\n20516 30722\n48874 73408\n86377 100000\n80696 100000\n30406 45594\n83698 100000\n13077 19545\n55306 83022\n24733 37024\n76465 100000\n23897 35761\n31388 47069\n32728 49087\n92173 100000\n23295 34858\n17623 26341\n5849 8714\n35292 52964\n44445 66751\n80152 100000\n3527 5252\n95479 100000\n94552 100000\n53207 79858\n68872 100000\n51753 77712\n15426 23032\n7743 11543\n31142 46693\n58560 87917\n71568 100000\n19668 29437\n47238 70949\n39594 59468\n39851 59845\n13033 19477\n45503 68311\n41319 62064\n72537 100000\n11006 16427\n89626 100000\n886 1304\n21432 32086\n48312 72564\n62832 94282\n88357 100000\n95922 100000\n68298 100000\n84014 100000\n72219 100000\n47191 70875\n23973 35881\n23993 35909\n65007 97521\n34995 52515\n30793 46180\n83652 100000\n19472 29134\n12595 18825\n70384 100000\n50862 76392\n7856 11708\n98483 100000\n5095 7617\n85073 100000\n26204 39228\n94082 100000\n34462 51704\n56240 84429\n53293 79990\n87998 100000\n86670 100000\n38670 58065\n39381 59143\n98104 100000\n56056 84165\n72825 100000\n87733 100000\n20462 30639\n54476 81769\n29585 44331\n74224 100000\n84259 100000\n22031 32987\n48871 73403\n66154 99209\n21077 31556\n45862 68859\n19661 29427\n53361 80093\n41747 62701\n32865 49308\n88048 100000\n1133 1681\n3795 5666\n84691 100000\n18664 27895\n27369 40992\n18525 27689\n3566 5309\n17415 26027\n62239 93401\n50278 75505\n61436 92188\n82122 100000\n23275 34828\n36488 54760\n41251 61957\n80883 100000\n61267 91931\n8914 13288\n6638 9879\n35639 53484\n43498 65335\n44029 66126\n4455 6651\n47156 70823\n60262 90445\n57050 85654\n40260 60446\n14179 21188\n88620 100000\n64196 96300\n21001 31448\n66481 99701\n2163 3223\n51199 76893\n89317 100000\n21852 32722\n47542 71417\n55651 83554\n85548 100000\n47688 71642\n76672 100000\n98977 100000\n45809 68784\n88283 100000\n60518 90821\n89898 100000\n37409 56143\n3354 4982\n14540 21717\n50822 76334\n88272 100000\n64184 96281\n87195 100000\n61032 91596\n50776 76266\n57894 86912\n87682 100000\n72963 100000\n16356 24432\n72449 100000\n28983 43442\n77566 100000\n16675 24910\n60261 90444\n24973 37392\n91218 100000\n27837 41705\n15160 22637\n35976 54002\n64179 96274\n65936 98890\n60225 90392\n22506 33697\n26510 39693\n38152 57261\n10932 16312\n58454 87750\n27051 40516\n85282 100000\n59624 89500\n55249 82928\n65708 98549\n97672 100000\n51676 77601\n68037 100000\n51544 77409\n79168 100000\n23513 35191\n3192 4749\n81422 100000\n6708 9980\n44247 66448\n62401 93641\n51461 77291\n57833 86818\n89952 100000\n5334 7970\n28852 43244\n5260 7859\n58413 87692\n54052 81133\n60113 90226\n87547 100000\n74902 100000\n3120 4640\n25544 38241\n53545 80364\n91832 100000\n6985 10403\n65985 98959\n12265 18322\n70977 100000\n26849 40206\n81369 100000\n56537 84884\n4153 6198\n9417 14047\n77049 100000\n49437 74255\n71345 100000\n57430 86222\n96957 100000\n25677 38445\n3571 5317\n619 907\n58789 88259\n54777 82221\n88784 100000\n50725 76188\n65576 98362\n75333 100000\n73752 100000\n23632 35364\n55689 83616\n50914 76460\n25657 38414\n20805 31159\n59258 88953\n67930 100000\n7394 11035\n23826 35659\n42399 63697\n57000 85583\n38423 57685\n19716 29513\n79575 100000\n29450 44130\n61432 92181\n38255 57429\n49931 74992\n53690 80583\n3784 5647\n95596 100000\n11037 16473\n37177 55791\n66285 99410\n92858 100000\n38043 57092\n87802 100000\n51329 77091\n61749 92652\n68473 100000\n51206 76904\n401 587\n61417 92156\n2093 3115\n75101 100000\n87243 100000\n5719 8525\n1894 2817\n89465 100000\n79680 100000\n61075 91662\n24372 36475\n56911 85454\n22195 33238\n72267 100000\n87029 100000\n32170 48246\n29801 44663\n43889 65912\n3309 4915\n94999 100000\n27830 41695\n11227 16752\n92379 100000\n93265 100000\n26972 40396\n31479 47205\n33828 50759\n23164 34660\n79325 100000\n66521 99760\n34307 51467\n38416 57676\n55017 82579\n29192 43751\n42799 64281\n97377 100000\n16318 24372\n8418 12544\n15197 22688\n99513 100000\n92977 100000\n11581 17292\n81193 100000\n60688 91074\n16851 25173\n93736 100000\n59979 90030\n38176 57299\n20009 29953\n53027 79596\n31962 47924\n25578 38295\n21716 32517\n87860 100000\n35142 52741\n33324 50001\n56682 85104\n70486 100000\n1287 1914\n55850 83861\n70113 100000\n79688 100000\n20897 31296\n80654 100000\n19080 28528\n91700 100000\n64260 96400\n2387 3547\n43049 64667\n79088 100000\n34314 51475\n5656 8430\n52834 79308\n78321 100000\n42206 63388\n417 610\n77803 100000\n97115 100000\n5838 8696\n86468 100000\n86952 100000\n35581 53397\n66337 99487\n91714 100000\n55132 82748\n34661 52013\n19480 29145\n73902 100000\n31490 47223\n5239 7827\n30211 45290\n36321 54519\n3287 4885\n65941 98896\n76626 100000\n54286 81485\n52081 78195\n14377 21475\n88150 100000\n4071 6069\n45231 67914\n18965 28359\n40315 60529\n40431 60707\n34089 51142\n68238 100000\n3894 5808\n84845 100000\n3189 4745\n22649 33902\n79821 100000\n1180 1756\n13010 19443\n58064 87170\n55803 83788\n8745 13031\n63531 95305\n42233 63434\n28412 42572\n31240 46843\n43661 65578\n27118 40616\n20793 31142\n31521 47270\n43471 65302\n32307 48448\n85427 100000\n84651 100000\n75679 100000\n36491 54764\n38745 58177\n26395 39520\n68309 100000\n60013 90079\n85893 100000\n90959 100000\n26470 39633\n85309 100000\n14743 22010\n89051 100000\n92629 100000\n50275 75499\n20595 30837\n31887 47808\n72384 100000\n95818 100000\n42090 63209\n21215 31762\n65256 97882\n86556 100000\n74729 100000\n26886 40261\n41135 61781\n18239 27265\n75653 100000\n85145 100000\n14594 21791\n46644 70042\n67190 100000\n80494 100000\n11365 16966\n1892 2814\n2925 4357\n82170 100000\n34871 52328\n60461 90739\n6106 9083\n55453 83248\n93659 100000\n20741 31062\n42796 64278\n78990 100000\n40444 60724\n96002 100000\n81037 100000\n72497 100000\n97875 100000\n43076 64706\n14797 22091\n72348 100000\n93164 100000\n20410 30571\n72440 100000\n52963 79505\n37609 56445\n14560 21746\n23751 35546\n34905 52374\n53338 80059\n48886 73426\n77051 100000\n50179 75361\n54578 81925\n8939 13324\n76491 100000\n78391 100000\n11667 17413\n79748 100000\n82677 100000\n13202 19733\n49675 74613\n8318 12395\n31880 47797\n70063 100000\n77113 100000\n9825 14644\n46837 70336\n68315 100000\n62119 93216\n98611 100000\n15562 23246\n91697 100000\n71980 100000\n51121 76774\n24945 37347\n6467 9634\n3506 5216\n76834 100000\n23444 35094\n3495 5198\n70737 100000\n91902 100000\n58890 88414\n50959 76531\n11471 17128\n27829 41693\n31445 47157\n30588 45868\n41638 62539\n49075 73713\n75716 100000\n94104 100000\n22140 33154\n42486 63822\n7581 11315\n55755 83714\n37132 55728\n62267 93444\n58389 87657\n55435 83218\n15563 23247\n82046 100000\n55432 83214\n65285 97928\n70658 100000\n18431 27549\n99289 100000\n22199 33243\n17386 25980\n33668 50523\n49757 74738\n52608 78973\n81895 100000\n22530 33732\n40042 60123\n22718 34007\n67671 100000\n32205 48294\n78395 100000\n24437 36566\n41874 62891\n66877 100000\n51630 77536\n2423 3604\n65068 97613\n35686 53555\n26223 39256\n85522 100000\n81476 100000\n68194 100000\n82535 100000\n81736 100000\n70537 100000\n20880 31272\n7123 10615\n3562 5301\n27 39\n56808 85291\n9800 14608\n82792 100000\n81147 100000\n91973 100000\n2636 3928\n94534 100000\n81956 100000\n77308 100000\n54034 81106\n51269 76999\n59885 89886\n60247 90423\n90266 100000\n21898 32788\n25632 38372\n50911 76457\n11104 16574\n68107 100000\n28790 43146\n32598 48892\n46213 69387\n99621 100000\n97213 100000\n8548 12734\n47430 71239\n44535 66880\n64575 96883\n79260 100000\n87494 100000\n88866 100000\n72736 100000\n71576 100000\n69986 100000\n43306 65062\n12087 18057\n10112 15081\n86061 100000\n97717 100000\n4482 6689\n90846 100000\n34873 52330\n22650 33904\n56315 84551\n76719 100000\n66411 99590\n21533 32242\n92924 100000\n54408 81666\n11309 16879\n18365 27450\n16688 24926\n58457 87755\n9006 13426\n32683 49023\n1674 2496\n12654 18910\n18221 27238\n8720 13001\n36503 54781\n49961 75034\n14836 22144\n50454 75778\n73885 100000\n9061 13506\n99868 100000\n14213 21239\n89422 100000\n6632 9871\n74445 100000\n92545 100000\n16721 24980\n1262 1877\n41536 62390\n40599 60967\n5881 8760\n94161 100000\n18258 27292\n52195 78368\n1339 1999\n15471 23101\n63219 94840\n18211 27221\n3914 5838\n52116 78247\n30834 46241\n82903 100000\n71426 100000\n29256 43847\n43156 64834\n6893 10265\n59163 88814\n9649 14371\n74695 100000\n60877 91367\n72782 100000\n92443 100000\n35238 52886\n22777 34088\n17867 26690\n65196 97797\n40859 61358\n75997 100000\n5450 8132\n49891 74938\n50878 76413\n15645 23378\n72758 100000\n83906 100000\n1059 1568\n32897 49356\n3134 4662\n27567 41304\n94942 100000\n59773 89716\n9710 14469\n42654 64068\n35509 53290\n10830 16157\n33952 50939\n31799 47675\n62710 94102\n50237 75442\n31071 46589\n43909 65945\n85165 100000\n72408 100000\n41645 62548\n57131 85777\n21814 32660\n14894 22229\n58828 88322\n1024 1513\n99164 100000\n67830 100000\n19634 29385\n9784 14587\n89813 100000\n11756 17552\n94851 100000\n20380 30522\n58445 87735\n54972 82510\n15182 22670\n71871 100000\n36753 55160\n96169 100000\n90833 100000\n2941 4379\n97431 100000\n49635 74553\n28007 41957\n92331 100000\n20612 30861\n71030 100000\n5488 8183\n55296 83004\n49559 74434\n32289 48417\n29056 43551\n86497 100000\n19541 29242\n77426 100000\n65874 98799\n66016 99013\n62058 93123\n82667 100000\n18187 27186\n28179 42217\n6843 10187\n11761 17561\n70538 100000\n32262 48377\n41879 62899\n93253 100000\n1338 1998\n94520 100000\n68133 100000\n59488 89300\n28295 42390\n24311 36385\n71452 100000\n21090 31575\n91093 100000\n52853 79335\n81555 100000\n97316 100000\n35612 53444\n85992 100000\n34496 51757\n74983 100000\n88370 100000\n45428 68211\n34394 51598\n20972 31406\n67664 100000\n14978 22355\n78474 100000\n39240 58924\n91073 100000\n22780 34093\n3576 5323\n86226 100000\n52084 78199\n14336 21417\n58255 87454\n90757 100000\n44960 67507\n91474 100000\n75832 100000\n63504 95264\n13730 20516\n21056 31527\n33376 50085\n58582 87949\n52435 78714\n65008 97522\n86752 100000\n5943 8850\n16917 25271\n17194 25695\n90730 100000\n8552 12739\n37660 56515\n26413 39547\n30702 46043\n39290 59001\n21054 31525\n53080 79666\n93688 100000\n7872 11732\n61929 92929\n45079 67689\n28483 42688\n17397 25996\n87511 100000\n13908 20780\n97960 100000\n83890 100000\n4625 6907\n54267 81455\n67013 100000\n87062 100000\n98344 100000\n64768 97164\n82003 100000\n81637 100000\n97616 100000\n53422 80182\n57916 86945\n48357 72625\n11633 17366\n78551 100000\n71608 100000\n37787 56704\n32811 49215\n1226 1826\n56342 84592\n40750 61198\n72943 100000\n39532 59374\n67438 100000\n26325 39416\n69347 100000\n74074 100000\n56584 84950\n81414 100000\n98233 100000\n3282 4879\n97071 100000\n42251 63464\n36661 55021\n16731 24993\n2006 2976\n61565 92385\n90767 100000\n15350 22918\n58577 87941\n2695 4015\n13996 20911\n24004 35924\n45898 68913\n25478 38144\n27838 41706\n72292 100000\n92041 100000\n41306 62041\n98490 100000\n46480 69795\n76329 100000\n22729 34023\n86910 100000\n97984 100000\n2203 3280\n55159 82790\n31589 47376\n50523 75892\n73507 100000\n98217 100000\n11613 17337\n51349 77121\n1145 1700\n24194 36207\n30501 45739\n58383 87646\n18987 28395\n58767 88228\n44446 66752\n39611 59491\n61636 92487\n73560 100000\n66278 99400\n10060 14999\n95871 100000\n10628 15836\n32189 48272\n1687 2515\n36172 54303\n31617 47416\n28782 43134\n14100 21066\n61958 92971\n12733 19039\n47277 71013\n21117 31616\n17182 25677\n25936 38819\n27389 41022\n4052 6040\n50748 76221\n10911 16278\n40231 60402\n869 1277\n14030 20960\n1074 1590\n14389 21492\n52848 79330\n77047 100000\n47959 72041\n89281 100000\n14150 21142\n38699 58110\n5957 8873\n73728 100000\n22975 34378\n86415 100000\n27443 41109\n86000 100000\n9413 14040\n97808 100000\n12661 18920\n63661 95500\n47635 71560\n72004 100000\n23942 35827\n6228 9267\n36377 54599\n22810 34138\n98146 100000\n11215 16733\n12249 18300\n60712 91114\n37808 56737\n87285 100000\n19468 29128\n82557 100000\n52997 79555\n36705 55087\n44920 67443\n53607 80460\n13302 19886\n15086 22520\n17039 25450\n29703 44516\n73807 100000\n49612 74517\n41524 62370\n91689 100000\n56390 84667\n80764 100000\n6197 9222\n44956 67500\n14448 21577\n34502 51767\n10024 14948\n86751 100000\n52710 79129\n27466 41142\n84565 100000\n93800 100000\n38254 57427\n63158 94754\n48305 72554\n72836 100000\n56417 84706\n25926 38804\n46621 70010\n14711 21963\n26708 39990\n46668 70079\n43276 65018\n63496 95255\n89375 100000\n3789 5655\n5555 8280\n79529 100000\n83462 100000\n3688 5499\n78691 100000\n27663 41443\n64241 96372\n23443 35093\n37568 56383\n20298 30396\n65564 98344\n46985 70556\n50458 75784\n8625 12851\n45461 68255\n67129 100000\n1646 2458\n37979 56993\n5426 8101\n72215 100000\n38883 58399\n22528 33729\n27406 41048\n11898 17774\n43073 64702\n25842 38683\n30533 45786\n39713 59640\n54946 82471\n10101 15063\n78938 100000\n96160 100000\n21761 32582\n78188 100000\n63468 95208\n29766 44611\n59952 89987\n38821 58299\n90863 100000\n73418 100000\n29232 43813\n24767 37073\n41954 63013\n96647 100000\n97045 100000\n87035 100000\n85594 100000\n6999 10424\n16562 24742\n95178 100000\n31323 46970\n88578 100000\n70762 100000\n38985 58550\n15714 23480\n15816 23634\n13809 20630\n52762 79205\n18559 27739\n30464 45681\n36177 54311\n40353 60583\n67394 100000\n23563 35263\n22677 33948\n37530 56326\n89220 100000\n87465 100000\n31938 47889\n3216 4783\n8254 12302\n42229 63427\n9804 14613\n69875 100000\n77159 100000\n17822 26623\n94629 100000\n74212 100000\n12736 19045\n90861 100000\n44743 67191\n92997 100000\n83061 100000\n6642 9885\n31702 47540\n8465 12613\n84103 100000\n81536 100000\n85558 100000\n62155 93270\n69618 100000\n23609 35326\n57153 85810\n29255 43845\n47210 70908\n81559 100000\n70393 100000\n91113 100000\n61460 92228\n85530 100000\n88738 100000\n61204 91845\n97492 100000\n12094 18067\n33041 49570\n36103 54198\n64467 96710\n23049 34484\n13841 20680\n28751 43083\n83536 100000\n31911 47845\n13001 19430\n29092 43600\n45591 68451\n53443 80217\n93594 100000\n57871 86877\n19950 29858\n92859 100000\n70809 100000\n12615 18853\n81416 100000\n95021 100000\n62414 93658\n66093 99122\n24523 36701\n69611 100000\n49626 74539\n91065 100000\n10818 16140\n80107 100000\n45950 68992\n80195 100000\n82562 100000\n695 1022\n66640 99938\n67781 100000\n84011 100000\n71513 100000\n50525 75895\n78881 100000\n11144 16631\n78313 100000\n67100 100000\n669 985\n3999 5966\n77692 100000\n29254 43843\n77077 100000\n93601 100000\n20550 30771\n10611 15813\n65413 98123\n75280 100000\n65128 97701\n63284 94934\n58432 87716\n52065 78172\n90888 100000\n31434 47142\n83444 100000\n51629 77534\n3271 4864\n79248 100000\n95883 100000\n57074 85690\n54688 82088\n7212 10750\n70818 100000\n12027 17963\n30042 45026\n10025 14950\n92487 100000\n2364 3514\n33 47\n40614 60992\n9009 13430\n52058 78161\n14747 22018\n32641 48955\n26452 39605\n29479 44173\n51701 77639\n61974 92993\n12302 18379\n56484 84804\n51285 77024\n77170 100000\n13794 20609\n29136 43664\n32008 47998\n10602 15798\n3790 5656\n10873 16221\n12912 19293\n47953 72030\n29506 44212\n38999 58570\n20981 31421\n704 1035\n25454 38108\n37479 56251\n92123 100000\n87110 100000\n15229 22740\n92382 100000\n68226 100000\n24225 36251\n45984 69043\n82453 100000\n62341 93554\n39999 60061\n42765 64234\n17445 26074\n19339 28933\n77116 100000\n1957 2904\n78314 100000\n81878 100000\n9811 14623\n81047 100000\n96414 100000\n24566 36765\n43846 65846\n9874 14719\n96819 100000\n37090 55660\n24864 37220\n31063 46576\n41045 61645\n39142 58785\n76852 100000\n41837 62838\n75698 100000\n44775 67236\n89010 100000\n44555 66907\n24149 36135\n12464 18625\n41579 62451\n89105 100000\n64701 97067\n57330 86077\n5236 7824\n55666 83581\n3479 5174\n45427 68209\n14202 21223\n68943 100000\n75329 100000\n71832 100000\n78201 100000\n2046 3040\n80285 100000\n23653 35395\n75800 100000\n6735 10021\n52967 79511\n84282 100000\n40364 60602\n86605 100000\n94093 100000\n89296 100000\n98985 100000\n77819 100000\n45340 68078\n30757 46124\n75739 100000\n14557 21742\n544 803\n36881 55349\n32375 48553\n30946 46412\n40872 61378\n3884 5795\n70868 100000\n83655 100000\n52396 78658\n61581 92406\n41505 62339\n9938 14821\n98308 100000\n15289 22832\n76878 100000\n72940 100000\n15336 22901\n60282 90471\n63310 94975\n24216 36239\n92385 100000\n59485 89296\n48634 73040\n35211 52847\n68289 100000\n37844 56788\n12370 18483\n15604 23314\n76874 100000\n94515 100000\n44667 67070\n82001 100000\n52129 78269\n96561 100000\n31113 46652\n57601 86475\n41254 61962\n93790 100000\n57686 86599\n92955 100000\n73439 100000\n63192 94800\n52244 78438\n74833 100000\n64569 96874\n90344 100000\n37557 56365\n48263 72499\n57466 86271\n3116 4634\n71905 100000\n62944 94446\n71550 100000\n48261 72495\n52077 78190\n78536 100000\n9136 13620\n25325 37910\n26160 39160\n79789 100000\n19990 29921\n72701 100000\n89888 100000\n72283 100000\n90281 100000\n77560 100000\n61292 91970\n24869 37229\n14443 21568\n22596 33826\n16712 24966\n98444 100000\n63134 94720\n9852 14687\n22870 34224\n18032 26944\n36004 54045\n86403 100000\n53077 79661\n87955 100000\n82780 100000\n1684 2509\n53588 80428\n38474 57759\n5257 7853\n86840 100000\n9841 14667\n12338 18435\n55014 82574\n68292 100000\n55582 83448\n93151 100000\n79436 100000\n2721 4052\n52517 78835\n19418 29047\n58438 87725\n3431 5100\n25794 38611\n19365 28970\n94405 100000\n75491 100000\n62189 93321\n94731 100000\n47483 71326\n10115 15085\n59240 88929\n94543 100000\n6818 10148\n83407 100000\n35226 52869\n16576 24764\n79410 100000\n29000 43467\n22774 34083\n16836 25151\n63397 95102\n82860 100000\n37745 56644\n62051 93114\n94579 100000\n57652 86550\n81612 100000\n59471 89274\n45057 67657\n73907 100000\n54685 82085\n33706 50577\n98114 100000\n35251 52908\n78875 100000\n42248 63460\n59525 89354\n69140 100000\n93005 100000\n86537 100000\n78686 100000\n95813 100000\n7307 10899\n47550 71428\n24200 36217\n40198 60351\n87904 100000\n62466 93732\n32491 48735\n10901 16263\n29440 44117\n24595 36810\n30030 45008\n12211 18245\n78626 100000\n5682 8471\n14316 21387\n44551 66902\n48828 73339\n98949 100000\n73506 100000\n48245 72468\n64299 96455\n7210 10748\n61512 92307\n16718 24976\n36175 54308\n34899 52366\n827 1221\n21884 32767\n96206 100000\n50067 75199\n1122 1663\n30810 46205\n47753 71741\n35846 53804\n45364 68110\n26296 39368\n8038 11985\n42884 64411\n48878 73414\n45990 69053\n17134 25598\n64430 96649\n44549 66900\n85897 100000\n53209 79862\n23175 34676\n93316 100000\n92920 100000\n30995 46480\n26301 39377\n74579 100000\n9899 14760\n93613 100000\n91794 100000\n24600 36817\n44344 66592\n6589 9809\n27559 41290\n62137 93242\n52375 78628\n40547 60889\n10190 15191\n26696 39975\n4543 6792\n27122 40623\n45655 68551\n13239 19788\n44894 67409\n92493 100000\n51408 77212\n78869 100000\n79300 100000\n81718 100000\n681 1001\n34950 52444\n26758 40067\n59602 89467\n5870 8745\n80408 100000\n27745 41572\n44130 66274\n34797 52223\n26759 40069\n31536 47295\n10414 15516\n96905 100000\n98771 100000\n1169 1736\n30122 45148\n33070 49616\n8718 12998\n82355 100000\n56170 84327\n11483 17143\n29795 44654\n49620 74530\n84534 100000\n79439 100000\n35410 53140\n93730 100000\n78484 100000\n92343 100000\n88897 100000\n41865 62878\n88360 100000\n16279 24315\n2983 4440\n29300 43912\n27569 41306\n25011 37450\n59812 89777\n4588 6857\n66686 100000\n42951 64518\n55655 83562\n19000 28411\n10554 15724\n98193 100000\n26109 39085\n25322 37907\n2520 3751\n52210 78390\n11229 16756\n67222 100000\n15670 23414\n64504 96768\n24008 35929\n6696 9964\n95074 100000\n97182 100000\n41489 62310\n66350 99506\n96617 100000\n84132 100000\n23873 35725\n20132 30137\n97687 100000\n52661 79052\n90416 100000\n51241 76957\n11864 17721\n83939 100000\n77417 100000\n9814 14627\n65355 98034\n19355 28955\n34566 51867\n70549 100000\n70263 100000\n15621 23343\n59575 89429\n34763 52173\n63410 95121\n6441 9591\n95665 100000\n63439 95159\n89752 100000\n25028 37472\n25851 38697\n70408 100000\n45447 68237\n4928 7361\n51118 76770\n97775 100000\n75473 100000\n78413 100000\n62793 94224\n24569 36768\n37863 56817\n88590 100000\n52230 78417\n66139 99184\n38908 58432\n70864 100000\n70274 100000\n26747 40050\n13084 19559\n57251 85960\n17578 26270\n13117 19605\n69865 100000\n3036 4516\n5091 7611\n66735 100000\n86999 100000\n53041 79614\n13345 19947\n87595 100000\n23904 35772\n79980 100000\n26077 39033\n65297 97948\n74331 100000\n35152 52757\n34371 51561\n35692 53565\n1424 2122\n19216 28742\n14728 21986\n22105 33104\n72230 100000\n97668 100000\n53072 79654\n93372 100000\n66259 99372\n871 1279\n53271 79958\n8317 12393\n9333 13922\n20433 30601\n80522 100000\n93329 100000\n52724 79149\n33481 50236\n61285 91960\n55287 82990\n96990 100000\n49894 74941\n2153 3208\n25353 37953\n38452 57727\n58703 88136\n12045 17992\n20616 30868\n43130 64790\n50724 76186\n3977 5935\n15087 22522\n73708 100000\n63114 94682\n70601 100000\n54270 81460\n31181 46755\n29242 43827\n60094 90197\n48292 72535\n82260 100000\n85804 100000\n98683 100000\n85425 100000\n62666 94036\n72387 100000\n97761 100000\n47637 71563\n50039 75156\n99065 100000\n49840 74863\n76027 100000\n83838 100000\n30566 45835\n89269 100000\n57310 86048\n66349 99505\n74651 100000\n9599 14299\n61302 91989\n56035 84131\n21472 32153\n33239 49867\n55222 82884\n68304 100000\n28926 43354\n29097 43607\n64181 96277\n31092 46621\n44297 66520\n94157 100000\n78473 100000\n49349 74122\n74490 100000\n86764 100000\n27578 41320\n56972 85538\n67502 100000\n81549 100000\n82561 100000\n95319 100000\n505 748\n96434 100000\n18527 27691\n46729 70175\n99899 100000\n40977 61535\n78368 100000\n84891 100000\n12970 19384\n6056 9012\n68093 100000\n94341 100000\n86690 100000\n30628 45933\n63794 95704\n20179 30206\n38205 57344\n88271 100000\n61001 91546\n56810 85295\n33776 50685\n59847 89828\n84176 100000\n68898 100000\n54554 81891\n18642 27860\n28154 42174\n54327 81546\n72182 100000\n5644 8411\n30206 45280\n54721 82138\n6178 9195\n71024 100000\n48240 72463\n94669 100000\n49494 74339\n25301 37874\n30928 46381\n1807 2689\n33013 49529\n80997 100000\n37168 55777\n71424 100000\n70855 100000\n95856 100000\n28693 42999\n29673 44475\n41189 61864\n10897 16257\n60278 90466\n89475 100000\n85424 100000\n5942 8848\n38277 57461\n74254 100000\n58622 88009\n64019 96042\n71389 100000\n72039 100000\n83439 100000\n98614 100000\n9242 13784\n12088 18058\n81630 100000\n31807 47687\n20538 30751\n97582 100000\n65538 98307\n38411 57668\n13243 19795\n37051 55604\n95184 100000\n50043 75161\n46796 70275\n45163 67810\n98826 100000\n77351 100000\n80243 100000\n5079 7595\n56948 85505\n50109 75263\n79238 100000\n48796 73289\n35232 52877\n50328 75586\n79362 100000\n88818 100000\n81098 100000\n62406 93647\n97820 100000\n40727 61163\n43404 65209\n49680 74620\n39499 59326\n41101 61732\n81473 100000\n87789 100000\n71725 100000\n14997 22380\n65147 97726\n96942 100000\n74901 100000\n93811 100000\n12971 19386\n19232 28766\n67865 100000\n57717 86643\n21187 31721\n40077 60174\n92966 100000\n89596 100000\n68968 100000\n37803 56729\n43469 65300\n48891 73433\n46187 69347\n2245 3343\n48670 73098\n39708 59630\n35004 52529\n99389 100000\n22117 33120\n98459 100000\n40997 61568\n24071 36018\n3348 4974\n10756 16044\n19479 29144\n24741 37034\n41072 61688\n3997 5963\n58098 87221\n1793 2669\n83644 100000\n30314 45453\n40162 60296\n35047 52591\n66050 99064\n59782 89731\n11997 17919\n45094 67711\n92221 100000\n36588 54906\n76809 100000\n84752 100000\n29675 44479\n56832 85332\n99016 100000\n85040 100000\n15162 22640\n27188 40718\n5613 8363\n45758 68705\n33574 50377\n74121 100000\n73314 100000\n86538 100000\n400 586\n7554 11273\n40979 61538\n63023 94557\n86416 100000\n75806 100000\n21456 32125\n53050 79626\n20837 31203\n7289 10873\n86142 100000\n45371 68121\n35425 53161\n6063 9022\n48194 72395\n56756 85212\n51524 77379\n92595 100000\n68405 100000\n69 99\n17328 25888\n59212 88888\n96506 100000\n39493 59319\n9326 13913\n79039 100000\n38659 58048\n61219 91866\n27696 41494\n63030 94567\n70162 100000\n39222 58897\n38660 58049\n93412 100000\n37436 56184\n15789 23593\n3137 4666\n32473 48707\n77554 100000\n96410 100000\n26191 39206\n14843 22153\n91517 100000\n88449 100000\n83456 100000\n42060 63163\n81343 100000\n90311 100000\n19183 28691\n95335 100000\n71888 100000\n79864 100000\n65001 97513\n78912 100000\n79732 100000\n31977 47949\n84049 100000\n18141 27117\n90586 100000\n30781 46162\n65387 98083\n74456 100000\n30584 45863\n89039 100000\n24290 36352\n32326 48476\n87668 100000\n25579 38297\n47925 71988\n43003 64595\n17774 26547\n92961 100000\n18832 28153\n53355 80083\n94728 100000\n15923 23787\n2565 3818\n27938 41858\n1268 1885\n68110 100000\n95692 100000\n84228 100000\n87441 100000\n72956 100000\n48169 72353\n2243 3341\n95600 100000\n69615 100000\n21833 32690\n24871 37233\n92248 100000\n53705 80606\n1272 1889\n67350 100000\n46733 70180\n51066 76688\n41737 62686\n1476 2203\n91468 100000\n72614 100000\n11082 16543\n47548 71426\n86955 100000\n53972 81015\n5283 7895\n80913 100000\n82586 100000\n34597 51915\n41746 62699\n53475 80264\n12700 18985\n87090 100000\n2399 3567\n44012 66103\n14882 22212\n17317 25872\n52619 78991\n46897 70425\n83733 100000\n31494 47228\n50586 75985\n41667 62582\n43307 65064\n34535 51818\n1369 2042\n1959 2907\n30201 45273\n23205 34722\n72493 100000\n80473 100000\n55260 82948\n96726 100000\n65156 97737\n12666 18929\n79927 100000\n22738 34035\n57624 86510\n43986 66066\n94729 100000\n16602 24800\n71433 100000\n57061 85670\n41222 61914\n48045 72167\n30754 46119\n79011 100000\n32212 48305\n76012 100000\n64876 97325\n86776 100000\n67223 100000\n97327 100000\n90065 100000\n15514 23168\n98891 100000\n63132 94716\n48498 72837\n32284 48410\n10714 15975\n77278 100000\n60670 91049\n10050 14987\n71176 100000\n53304 80009\n94555 100000\n59539 89373\n43225 64940\n74168 100000\n57872 86878\n62065 93132\n89450 100000\n37017 55556\n14407 21518\n12285 18351\n3516 5234\n76493 100000\n55793 83774\n17381 25971\n29387 44040\n16692 24932\n99653 100000\n6492 9673\n86303 100000\n18709 27962\n64732 97113\n46967 70528\n38223 57376\n92492 100000\n74747 100000\n30283 45402\n6904 10281\n27895 41795\n44546 66896\n54562 81903\n73542 100000\n77881 100000\n36132 54242\n96367 100000\n45920 68946\n71386 100000\n5574 8307\n99172 100000\n50832 76350\n63459 95194\n39099 58719\n45732 68666\n37372 56083\n32383 48567\n36934 55428\n10538 15701\n54397 81649\n31441 47151\n62628 93982\n48601 72988\n74927 100000\n69592 100000\n51661 77579\n94887 100000\n72798 100000\n94818 100000\n67647 100000\n58857 88365\n31608 47402\n31432 47140\n78388 100000\n20921 31330\n78713 100000\n49309 74061\n20336 30459\n30735 46091\n58317 87549\n26261 39316\n38911 58436\n79231 100000\n2515 3744\n77199 100000\n17990 26878\n35650 53499\n4147 6189\n49280 74017\n16080 24021\n27688 41483\n92249 100000\n67184 100000\n99880 100000\n95913 100000\n71267 100000\n21362 31974\n846 1248\n21069 31545\n13593 20310\n78584 100000\n10202 15208\n20394 30543\n55954 84013\n96137 100000\n84692 100000\n88811 100000\n86675 100000\n43189 64885\n33291 49943\n98043 100000\n89287 100000\n175 250\n51997 78075\n607 886\n28890 43299\n54945 82470\n88789 100000\n25215 37748\n60828 91295\n82918 100000\n69450 100000\n76944 100000\n41422 62215\n62739 94147\n85923 100000\n18510 27667\n97872 100000\n12783 19114\n66742 100000\n65494 98243\n85834 100000\n6716 9989\n368 538\n31846 47744\n18409 27515\n13825 20658\n30321 45465\n1182 1758\n46991 70566\n40596 60962\n28889 43298\n56222 84403\n41724 62667\n67972 100000\n24175 36176\n61408 92144\n64375 96569\n33893 50857\n5472 8161\n39952 59992\n96003 100000\n85866 100000\n46238 69427\n79225 100000\n75764 100000\n31287 46918\n41689 62615\n67435 100000\n27617 41376\n17662 26393\n51318 77074\n1614 2413\n13354 19962\n47866 71904\n40172 60310\n76314 100000\n4077 6077\n12982 19402\n52417 78687\n86615 100000\n25363 37971\n39506 59336\n71462 100000\n69203 100000\n74742 100000\n87837 100000\n92200 100000\n77902 100000\n67617 100000\n21682 32465\n3188 4744\n71860 100000\n42184 63351\n54371 81609\n21696 32487\n23085 34538\n32072 48094\n77378 100000\n38781 58232\n38768 58213\n25013 37454\n54336 81559\n40713 61143\n1664 2485\n32190 48273\n72607 100000\n31330 46981\n39084 58699\n95971 100000\n53447 80223\n72040 100000\n69395 100000\n88500 100000\n22508 33699\n71420 100000\n5192 7759\n60668 91046\n40644 61038\n90654 100000\n77839 100000\n31197 46780\n51350 77122\n25623 38358\n29797 44657\n39503 59333\n36629 54969\n9400 14023\n35237 52884\n50865 76395\n97581 100000\n20482 30667\n7835 11681\n96967 100000\n79180 100000\n18792 28094\n35021 52553\n99943 100000\n45274 67980\n58951 88505\n32931 49408\n97788 100000\n33234 49861\n24958 37368\n58440 87728\n44294 66517\n12727 19029\n78480 100000\n92128 100000\n68003 100000\n77853 100000\n86866 100000\n74680 100000\n53341 80063\n3010 4479\n49999 75096\n41927 62970\n69371 100000\n5586 8324\n45039 67632\n74863 100000\n34614 51938\n40354 60585\n46649 70048\n10272 15311\n5515 8224\n83406 100000\n41834 62834\n15255 22778\n94699 100000\n79831 100000\n88196 100000\n20678 30962\n32857 49292\n28519 42744\n82393 100000\n35491 53262\n98144 100000\n87207 100000\n91094 100000\n49835 74855\n97901 100000\n52991 79547\n59218 88897\n56800 85281\n55619 83509\n85162 100000\n13870 20725\n79335 100000\n56370 84638\n48252 72479\n23031 34460\n11910 17790\n25669 38433\n29914 44828\n1863 2773\n75557 100000\n71369 100000\n11729 17511\n48879 73415\n53529 80341\n43431 65248\n95577 100000\n99633 100000\n38192 57323\n70122 100000\n81820 100000\n68948 100000\n65081 97631\n95236 100000\n74388 100000\n41688 62614\n47072 70692\n61321 92018\n83979 100000\n74113 100000\n86580 100000\n17676 26413\n74650 100000\n22412 33567\n97578 100000\n99237 100000\n93482 100000\n9150 13641\n72266 100000\n73621 100000\n14370 21462\n82103 100000\n95063 100000\n3681 5488\n91537 100000\n98248 100000\n44830 67317\n15834 23661\n37972 56984\n27801 41651\n40053 60137\n12974 19389\n59772 89714\n45186 67851\n73085 100000\n42570 63945\n699 1027\n61691 92569\n21658 32430\n5379 8032\n31464 47184\n76751 100000\n78579 100000\n63272 94917\n11658 17400\n29530 44248\n59345 89086\n52682 79085\n27820 41678\n92428 100000\n92886 100000\n92031 100000\n10235 15259\n94430 100000\n47144 70804\n56352 84609\n24152 36141\n15362 22937\n52133 78274\n70177 100000\n27217 40762\n18736 28005\n35545 53343\n3334 4954\n43010 64608\n10078 15030\n84227 100000\n27506 41206\n71824 100000\n67656 100000\n54425 81691\n28552 42789\n43452 65280\n67234 100000\n30552 45815\n23766 35567\n52890 79393\n27347 40960\n27664 41445\n51713 77657\n61662 92526\n19042 28471\n37520 56309\n24860 37214\n16879 25219\n56282 84499\n95361 100000\n2101 3127\n32690 49035\n4400 6572\n36463 54725\n36973 55486\n56326 84567\n12888 19261\n28339 42460\n43982 66059\n65251 97875\n72474 100000\n38296 57492\n594 867\n46763 70224\n48823 73333\n75438 100000\n4311 6435\n16147 24121\n88894 100000\n31026 46523\n87820 100000\n84266 100000\n27305 40896\n46428 69716\n93138 100000\n46300 69525\n77620 100000\n85205 100000\n56774 85240\n32065 48082\n85391 100000\n66106 99141\n37659 56514\n87730 100000\n50403 75698\n30335 45488\n2688 4003\n51202 76898\n33777 50686\n89294 100000\n34387 51588\n36504 54782\n91369 100000\n19571 29285\n6400 9526\n59090 88704\n47067 70684\n74590 100000\n56412 84698\n41569 62438\n99577 100000\n72432 100000\n79564 100000\n39192 58859\n92285 100000\n24477 36631\n54157 81298\n57740 86675\n33001 49511\n62283 93469\n14305 21371\n32735 49098\n4020 5995\n87308 100000\n21300 31891\n68011 100000\n40395 60650\n32027 48028\n5762 8584\n65015 97535\n45540 68364\n4326 6461\n50603 76014\n48203 72407\n34056 51098\n2684 3997\n26067 39019\n30715 46062\n41845 62850\n4495 6710\n65747 98612\n42442 63760\n55324 83050\n13768 20571\n75080 100000\n35900 53885\n84557 100000\n91284 100000\n24484 36640\n30136 45170\n8830 13158\n9805 14615\n35243 52894\n71517 100000\n4539 6786\n87368 100000\n18091 27035\n94066 100000\n69974 100000\n93441 100000\n70695 100000\n70158 100000\n19892 29775\n44302 66527\n84514 100000\n69497 100000\n54904 82410\n23764 35563\n46870 70386\n57665 86569\n12934 19326\n96596 100000\n89788 100000\n18111 27068\n61214 91860\n16449 24571\n54038 81111\n12613 18851\n20454 30629\n50249 75460\n53540 80357\n44267 66478\n95941 100000\n19756 29572\n95954 100000\n2131 3176\n3146 4681\n74290 100000\n62213 93360\n52678 79079\n75323 100000\n98286 100000\n84235 100000\n71744 100000\n56606 84984\n20798 31151\n94911 100000\n6035 8982\n13529 20216\n48882 73420\n36070 54148\n50588 75988\n34809 52239\n67637 100000\n21425 32076\n82007 100000\n47226 70931\n61091 91682\n68873 100000\n56496 84822\n1023 1511\n51640 77551\n17674 26411\n37961 56968\n45395 68157\n30184 45245\n13984 20895\n16447 24568\n66389 99561\n43829 65823\n29735 44564\n42278 63506\n41035 61630\n9378 13986\n51725 77673\n41012 61591\n47999 72099\n65994 98975\n27185 40715\n10217 15228\n94743 100000\n63774 95671\n85378 100000\n95668 100000\n10517 15669\n59317 89040\n13385 20008\n90668 100000\n73090 100000\n50155 75329\n90051 100000\n49286 74027\n93234 100000\n46675 70091\n33561 50358\n40870 61376\n81499 100000\n30912 46356\n30001 44964\n17688 26433\n12402 18531\n80761 100000\n71489 100000\n58569 87929\n49565 74446\n16359 24436\n67578 100000\n48638 73047\n65622 98424\n22949 34338\n65894 98829\n99239 100000\n44877 67384\n25257 37812\n64564 96867\n64807 97221\n33705 50576\n88856 100000\n43813 65798\n16288 24327\n44611 66986\n64317 96481\n80196 100000\n72022 100000\n57266 85981\n2844 4237\n3080 4582\n44664 67067\n39609 59488\n88430 100000\n10291 15342\n64943 97423\n70118 100000\n95615 100000\n38307 57508\n98829 100000\n26872 40242\n51755 77715\n74882 100000\n87103 100000\n21271 31850\n85004 100000\n22325 33433\n29245 43832\n32457 48681\n8935 13319\n85109 100000\n2774 4134\n80469 100000\n33352 50047\n60014 90080\n6768 10074\n19371 28981\n92951 100000\n15408 23009\n97409 100000\n59390 89154\n46698 70129\n11216 16735\n4990 7458\n69014 100000\n12840 19191\n71476 100000\n69546 100000\n91175 100000\n48515 72861\n51650 77565\n46918 70457\n90036 100000\n4376 6533\n23771 35575\n62340 93553\n82500 100000\n12429 18570\n33778 50688\n61887 92866\n69963 100000\n82628 100000\n36093 54183\n83781 100000\n16883 25224\n49091 73738\n18958 28348\n47606 71516\n24283 36343\n10335 15408\n23264 34816\n45197 67866\n50250 75462\n14542 21720\n42918 64466\n20059 30028\n93651 100000\n37626 56469\n13018 19454\n16537 24705\n89881 100000\n98557 100000\n28409 42567\n21797 32632\n84846 100000\n2457 3652\n91968 100000\n89593 100000\n6220 9255\n81647 100000\n666 981\n44472 66787\n19842 29698\n34380 51575\n99516 100000\n65197 97798\n4558 6814\n78605 100000\n87717 100000\n38284 57472\n47492 71339\n4598 6870\n29560 44294\n51916 77955\n97777 100000\n71856 100000\n37086 55655\n24761 37063\n31061 46573\n34893 52358\n91082 100000\n95769 100000\n5429 8105\n37491 56269\n76109 100000\n19126 28603\n80816 100000\n92843 100000\n45560 68398\n50893 76432\n6221 9257\n657 966\n36124 54232\n87994 100000\n89011 100000\n58666 88081\n29944 44876\n93439 100000\n5545 8266\n30071 45070\n42520 63869\n86082 100000\n6144 9144\n79637 100000\n51437 77255\n75422 100000\n95026 100000\n44571 66928\n26089 39051\n32867 49312\n72115 100000\n76020 100000\n42627 64028\n44683 67097\n15050 22466\n49496 74343\n59318 89042\n96693 100000\n53306 80012\n51129 76787\n29446 44125\n40756 61205\n35752 53660\n71763 100000\n62273 93454\n27054 40521\n84803 100000\n78793 100000\n10011 14927\n71978 100000\n64434 96654\n29260 43851\n84287 100000\n19695 29480\n17458 26095\n69689 100000\n60525 90831\n61378 92098\n53673 80557\n64323 96489\n24389 36499\n95995 100000\n12426 18566\n6868 10223\n19417 29045\n64887 97341\n89075 100000\n17516 26182\n26593 39820\n79843 100000\n77754 100000\n46843 70346\n95149 100000\n49628 74542\n24123 36094\n2437 3623\n86792 100000\n87525 100000\n73821 100000\n32120 48167\n10077 15028\n22693 33967\n75370 100000\n52509 78821\n38992 58559\n13936 20820\n77917 100000\n44320 66557\n74610 100000\n85845 100000\n9822 14640\n67784 100000\n12000 17925\n1969 2923\n49870 74908\n56443 84746\n91740 100000\n97078 100000\n28044 42012\n89737 100000\n12509 18692\n75225 100000\n96360 100000\n95877 100000\n20176 30201\n39291 59003\n57029 85625\n78882 100000\n71937 100000\n64571 96876\n15466 23094\n73345 100000\n262 378\n98900 100000\n43394 65194\n44059 66169\n24774 37082\n79655 100000\n93919 100000\n65170 97760\n27733 41552\n20619 30873\n95990 100000\n50699 76150\n88617 100000\n22860 34208\n79458 100000\n34673 52032\n25923 38801\n69317 100000\n66960 100000\n97136 100000\n26761 40072\n44693 67113\n37714 56598\n98690 100000\n19399 29020\n98624 100000\n9868 14709\n96549 100000\n18566 27748\n60253 90433\n41161 61820\n36399 54630\n88176 100000\n75374 100000\n45761 68709\n89577 100000\n94023 100000\n59222 88903\n55460 83259\n10336 15410\n43926 65971\n76567 100000\n16905 25253\n45436 68222\n60440 90708\n45199 67870\n67049 100000\n63703 95562\n90672 100000\n33658 50509\n11812 17646\n19370 28979\n74846 100000\n26954 40368\n12870 19234\n78251 100000\n77968 100000\n6626 9862\n76348 100000\n2366 3517\n62310 93508\n36896 55371\n94010 100000\n75118 100000\n99448 100000\n38957 58504\n35630 53471\n71632 100000\n43708 65645\n37528 56322\n31442 47153\n8815 13139\n77273 100000\n36471 54738\n33359 50059\n86964 100000\n70838 100000\n38665 58056\n85443 100000\n39627 59515\n80148 100000\n29980 44929\n10744 16025\n72932 100000\n29233 43814\n59128 88762\n56020 84108\n16995 25388\n86711 100000\n49381 74172\n49341 74109\n82800 100000\n12746 19061\n21427 32078\n43736 65681\n70575 100000\n85261 100000\n19970 29889\n542 801\n94630 100000\n80884 100000\n38622 57991\n39555 59405\n99549 100000\n54739 82166\n73783 100000\n70089 100000\n27621 41382\n91307 100000\n11573 17279\n35860 53826\n80363 100000\n84376 100000\n65723 98573\n60856 91337\n85083 100000\n99110 100000\n43859 65866\n54102 81217\n84790 100000\n53664 80543\n96179 100000\n92533 100000\n15813 23628\n9229 13763\n64491 96749\n27782 41625\n61555 92369\n96671 100000\n22712 33998\n48027 72141\n82414 100000\n54493 81795\n5249 7841\n47525 71388\n7675 11452\n99027 100000\n72945 100000\n64093 96150\n70269 100000\n38870 58378\n24613 36835\n84870 100000\n70592 100000\n57458 86259\n62816 94260\n51120 76772\n75342 100000\n30481 45709\n26467 39630\n45695 68615\n3638 5421\n59617 89490\n45520 68334\n51730 77681\n71861 100000\n66583 99855\n72898 100000\n76595 100000\n4784 7142\n4791 7154\n33220 49845\n43446 65270\n48092 72240\n13707 20483\n94213 100000\n3840 5733\n64899 97359\n30527 45778\n56485 84805\n83104 100000\n53677 80562\n46536 69882\n7208 10746\n59889 89891\n87109 100000\n60175 90320\n39824 59805\n52358 78604\n43140 64807\n59545 89383\n6271 9333\n82963 100000\n14236 21270\n2441 3629\n14692 21940\n27640 41411\n31778 47645\n11247 16784\n69360 100000\n48340 72602\n21036 31498\n25063 37522\n89606 100000\n21486 32173\n37897 56867\n59028 88614\n92125 100000\n40012 60081\n31990 47969\n22527 33728\n94591 100000\n71530 100000\n41592 62472\n93103 100000\n48014 72120\n95839 100000\n74573 100000\n85452 100000\n93627 100000\n64495 96755\n8638 12871\n45165 67814\n10663 15890\n48120 72285\n21531 32238\n53398 80147\n67019 100000\n1282 1904\n88830 100000\n42299 63537\n61838 92787\n58380 87642\n46364 69622\n23344 34935\n57150 85805\n68407 100000\n20609 30856\n87634 100000\n70546 100000\n35453 53205\n96339 100000\n43848 65849\n46034 69116\n70953 100000\n65846 98754\n85776 100000\n56405 84688\n32560 48835\n44719 67152\n88705 100000\n40486 60793\n6033 8980\n38827 58311\n65664 98483\n75544 100000\n21863 32737\n62809 94248\n78962 100000\n42153 63308\n54785 82232\n15652 23389\n50252 75465\n7724 11519\n90887 100000\n1040 1539\n12961 19370\n58760 88218\n53456 80235\n78095 100000\n76549 100000\n31297 46933\n29282 43882\n84471 100000\n51331 77094\n11237 16768\n47709 71674\n948 1402\n69092 100000\n46705 70139\n27134 40642\n44178 66345\n2201 3278\n52387 78647\n45690 68606\n47830 71851\n49811 74821\n64619 96950\n90485 100000\n8581 12787\n79102 100000\n15784 23587\n59478 89287\n81019 100000\n79555 100000\n92898 100000\n6814 10144\n387 566\n11971 17878\n70239 100000\n25463 38122\n68610 100000\n84306 100000\n99175 100000\n29550 44278\n20552 30774\n4782 7139\n43814 65800\n2891 4311\n31864 47772\n81443 100000\n71655 100000\n88383 100000\n55046 82620\n58886 88407\n90030 100000\n99842 100000\n72313 100000\n32886 49342\n80020 100000\n55129 82744\n48887 73427\n49049 73674\n42690 64117\n94713 100000\n21491 32180\n52371 78622\n27689 41484\n39896 59910\n92088 100000\n87043 100000\n76550 100000\n26148 39141\n95808 100000\n51229 76940\n71286 100000\n26603 39834\n83643 100000\n39275 58979\n61315 92008\n99827 100000\n38933 58470\n56065 84178\n5935 8838\n27074 40551\n47340 71104\n57546 86397\n93091 100000\n32206 48296\n99071 100000\n47419 71220\n85597 100000\n54191 81345\n32279 48404\n66779 100000\n59077 88687\n35720 53613\n25826 38658\n67470 100000\n71354 100000\n83920 100000\n5779 8612\n74232 100000\n68829 100000\n85848 100000\n1884 2805\n56684 85108\n49106 73757\n3544 5276\n85806 100000\n70996 100000\n87675 100000\n31108 46643\n80021 100000\n94231 100000\n70583 100000\n79304 100000\n9906 14772\n53448 80224\n27290 40874\n28331 42449\n45885 68895\n68722 100000\n29360 44000\n77196 100000\n75247 100000\n14734 21995\n38357 57589\n31616 47414\n36140 54255\n28754 43088\n4766 7116\n54654 82037\n46515 69847\n85074 100000\n23777 35584\n87083 100000\n93531 100000\n97479 100000\n907 1337\n74774 100000\n27799 41649\n96806 100000\n68853 100000\n20844 31213\n68688 100000\n45502 68310\n40031 60106\n68639 100000\n7800 11629\n4453 6649\n124 171\n12587 18811\n45326 68058\n71326 100000\n79506 100000\n53975 81020\n16798 25096\n9356 13955\n71093 100000\n66667 99981\n59513 89336\n28830 43211\n70303 100000\n72812 100000\n46292 69511\n79351 100000\n94595 100000\n31483 47212\n45055 67655\n92186 100000\n58705 88140\n48971 73555\n89323 100000\n30820 46220\n96720 100000\n93937 100000\n51119 76771\n9787 14592\n16727 24989\n1218 1814\n82569 100000\n72863 100000\n21239 31801\n27167 40690\n59149 88794\n72505 100000\n27255 40821\n84797 100000\n9672 14408\n5875 8753\n15745 23525\n86525 100000\n29771 44619\n59685 89589\n66025 99027\n69900 100000\n13650 20397\n81381 100000\n74669 100000\n61210 91854\n11858 17713\n97269 100000\n31772 47637\n28625 42904\n32080 48105\n56305 84535\n69310 100000\n43414 65224\n89930 100000\n77585 100000\n17846 26656\n70136 100000\n27618 41377\n8648 12886\n84076 100000\n39494 59320\n55376 83128\n3243 4824\n93742 100000\n59494 89310\n99275 100000\n25845 38689\n67037 100000\n32427 48634\n9661 14390\n84397 100000\n89707 100000\n1451 2163\n88939 100000\n36893 55367\n95114 100000\n26136 39123\n74264 100000\n49619 74529\n36357 54574\n48236 72456\n76340 100000\n1906 2833\n47471 71305\n39563 59419\n18464 27596\n83014 100000\n65777 98653\n37643 56491\n32529 48788\n31015 46508\n43129 64789\n43227 64943\n95402 100000\n67002 100000\n99998 100000\n86578 100000\n17857 26674\n7135 10634\n5022 7507\n55179 82817\n68667 100000\n9539 14215\n32930 49407\n62836 94288\n62686 94071\n80567 100000\n79079 100000\n34027 51053\n29743 44576\n38246 57414\n73336 100000\n89486 100000\n52949 79483\n36149 54267\n5596 8337\n71129 100000\n1651 2466\n79733 100000\n865 1272\n50333 75592\n34019 51039\n54072 81165\n88093 100000\n5589 8327\n4723 7049\n92117 100000\n1216 1812\n96574 100000\n47645 71576\n41091 61715\n49312 74067\n28524 42751\n58689 88115\n13441 20090\n16099 24049\n48 69\n4930 7365\n12618 18857\n99965 100000\n64028 96056\n33065 49610\n59728 89652\n75480 100000\n74532 100000\n91055 100000\n53057 79635\n39861 59858\n44389 66663\n46224 69405\n81388 100000\n23845 35689\n21932 32839\n23694 35457\n73129 100000\n35207 52840\n76821 100000\n69888 100000\n48502 72843\n56199 84369\n97990 100000\n42524 63874\n24529 36708\n91244 100000\n94131 100000\n74484 100000\n19696 29481\n36738 55135\n95872 100000\n89532 100000\n14 20\n13360 19970\n81001 100000\n72580 100000\n41305 62039\n81597 100000\n97145 100000\n18047 26965\n47450 71268\n7050 10503\n38555 57885\n19855 29716\n32043 48052\n51685 77615\n4195 6265\n37619 56459\n1627 2431\n4551 6805\n32037 48041\n99982 100000\n74317 100000\n66375 99542\n76238 100000\n50624 76045\n25992 38907\n18675 27909\n29460 44146\n30368 45530\n7258 10825\n12494 18668\n49980 75064\n34665 52019\n13664 20420\n25094 37568\n69817 100000\n13166 19679\n67540 100000\n57146 85800\n10344 15421\n46841 70343\n38828 58312\n81897 100000\n5226 7810\n40557 60903\n49735 74707\n12565 18775\n38121 57213\n62422 93669\n59767 89707\n57013 85603\n13152 19659\n56144 84288\n46543 69892\n7068 10530\n11610 17332\n45861 68858\n84864 100000\n23627 35357\n41760 62720\n65327 97992\n32974 49466\n92106 100000\n1346 2007\n25466 38127\n49469 74303\n60428 90690\n49139 73806\n41805 62789\n70741 100000\n31934 47883\n90954 100000\n79719 100000\n11886 17754\n5766 8589\n3636 5419\n73595 100000\n71518 100000\n36223 54378\n21899 32789\n80303 100000\n79175 100000\n26690 39965\n10570 15748\n74509 100000\n87462 100000\n42433 63747\n29419 44088\n87625 100000\n98016 100000\n24297 36364\n20463 30640\n44102 66233\n46278 69490\n57639 86529\n98270 100000\n99442 100000\n76836 100000\n28028 41988\n51965 78029\n70141 100000\n29359 43998\n44250 66453\n36323 54523\n67560 100000\n49600 74499\n63207 94822\n78615 100000\n69413 100000\n28676 42975\n72379 100000\n32698 49046\n62647 94009\n79646 100000\n46431 69720\n94119 100000\n59499 89315\n4292 6407\n95341 100000\n57486 86301\n58779 88242\n55518 83344\n87684 100000\n51315 77070\n24373 36477\n47614 71529\n34985 52502\n94146 100000\n25716 38502\n36457 54715\n94344 100000\n66703 100000\n76306 100000\n62946 94449\n60277 90465\n83869 100000\n40992 61561\n71224 100000\n76476 100000\n61359 92073\n14007 20927\n68136 100000\n41694 62623\n2495 3709\n66083 99110\n62757 94175\n47913 71972\n7565 11291\n24065 36010\n19954 29865\n19030 28451\n48154 72330\n14837 22146\n88862 100000\n11848 17699\n42369 63649\n8003 11932\n94559 100000\n26499 39678\n9648 14370\n34262 51400\n89127 100000\n97007 100000\n4962 7414\n34398 51604\n317 463\n74547 100000\n75208 100000\n9915 14786\n32456 48680\n82212 100000\n56303 84531\n85326 100000\n85366 100000\n9826 14646\n41916 62954\n35353 53053\n21113 31610\n56951 85510\n84320 100000\n42225 63420\n12178 18196\n39257 58947\n74023 100000\n38248 57417\n73731 100000\n81811 100000\n86273 100000\n43325 65091\n26961 40379\n75094 100000\n41510 62349\n2616 3899\n59354 89099\n7781 11601\n86757 100000\n66798 100000\n85658 100000\n51272 77003\n98322 100000\n53827 80795\n54490 81789\n6753 10051\n11030 16463\n98224 100000\n99692 100000\n21892 32778\n48867 73397\n95936 100000\n69626 100000\n58888 88410\n37093 55664\n42850 64359\n27297 40885\n4107 6127\n1739 2591\n42646 64058\n64320 96485\n87 122\n38006 57037\n82100 100000\n46925 70465\n6216 9249\n94813 100000\n25124 37612\n44206 66387\n76200 100000\n51148 76817\n70156 100000\n17796 26585\n41530 62379\n49369 74153\n62319 93523\n85512 100000\n43373 65161\n22295 33388\n58459 87758\n87842 100000\n89546 100000\n48271 72509\n77824 100000\n75960 100000\n35875 53850\n85661 100000\n1961 2910\n2617 3901\n19934 29833\n76633 100000\n56805 85287\n520 770\n77963 100000\n97196 100000\n18455 27582\n69232 100000\n33492 50252\n51840 77848\n21115 31613\n45355 68099\n98430 100000\n6634 9874\n31947 47900\n36434 54682\n58723 88169\n33418 50143\n84336 100000\n8788 13093\n39661 59563\n52205 78382\n78694 100000\n89873 100000\n20747 31071\n72337 100000\n63921 95897\n40140 60265\n57923 86955\n63271 94915\n17646 26371\n54756 82191\n31906 47836\n11348 16940\n97322 100000\n92807 100000\n72331 100000\n73923 100000\n4670 6972\n6563 9774\n78944 100000\n53382 80127\n3820 5703\n43687 65614\n36039 54098\n84332 100000\n54683 82081\n941 1390\n99611 100000\n48696 73139\n72412 100000\n21385 32013\n75157 100000\n65679 98504\n93240 100000\n68328 100000\n58154 87302\n7287 10869\n2913 4342\n43695 65626\n67009 100000\n19898 29783\n84740 100000\n15945 23819\n50453 75776\n37219 55856\n90800 100000\n11485 17147\n43 63\n35703 53583\n57341 86095\n3494 5197\n61626 92472\n44820 67302\n72529 100000\n40838 61328\n38333 57549\n13576 20287\n75052 100000\n56234 84420\n39170 58826\n67961 100000\n289 421\n43762 65722\n89340 100000\n10292 15344\n57224 85918\n98537 100000\n13017 19452\n53473 80261\n43195 64893\n39254 58942\n2528 3763\n55625 83517\n42331 63593\n77085 100000\n73565 100000\n67529 100000\n1979 2937\n55606 83488\n95641 100000\n44325 66565\n79352 100000\n48291 72534\n47110 70750\n80186 100000\n35437 53182\n97457 100000\n6710 9982\n97562 100000\n23361 34963\n26683 39953\n17404 26008\n37096 55669\n38632 58007\n34862 52314\n35246 52900\n35736 53637\n79725 100000\n66992 100000\n25691 38464\n27268 40839\n86154 100000\n81888 100000\n62901 94382\n71627 100000\n75455 100000\n88552 100000\n62704 94093\n19843 29700\n77028 100000\n85509 100000\n92060 100000\n55717 83658\n24069 36016\n11170 16669\n13696 20466\n12199 18226\n85058 100000\n75501 100000\n69960 100000\n32712 49065\n1447 2156\n34186 51290\n1707 2546\n98857 100000\n27961 41892\n92581 100000\n61588 92416\n38214 57361\n90228 100000\n37898 56869\n71636 100000\n89742 100000\n34275 51417\n54919 82430\n85858 100000\n59583 89441\n72206 100000\n36474 54741\n53151 79773\n70333 100000\n89380 100000\n23896 35760\n7875 11737\n26558 39767\n54439 81711\n87093 100000\n47957 72038\n83313 100000\n20690 30981\n52429 78705\n91306 100000\n12057 18012\n75276 100000\n28031 41992\n1688 2517\n97291 100000\n15785 23589\n41228 61921\n50483 75825\n93951 100000\n3237 4813\n75409 100000\n22135 33146\n39893 59906\n8525 12705\n52174 78337\n79765 100000\n609 890\n42920 64468\n85430 100000\n61675 92547\n94668 100000\n46950 70503\n34334 51504\n11939 17831\n26078 39034\n94134 100000\n74518 100000\n34157 51247\n69304 100000\n87790 100000\n44641 67033\n69718 100000\n22430 33593\n75909 100000\n48809 73310\n12357 18463\n14712 21964\n10181 15177\n29510 44218\n71246 100000\n68452 100000\n97763 100000\n38973 58531\n66194 99272\n67121 100000\n73056 100000\n63674 95519\n97753 100000\n12209 18242\n64261 96402\n96196 100000\n75523 100000\n24409 36524\n75986 100000\n80125 100000\n77978 100000\n63861 95805\n11641 17376\n4579 6848\n84109 100000\n39755 59703\n91769 100000\n11555 17251\n70224 100000\n68236 100000\n38860 58363\n30275 45388\n83583 100000\n98862 100000\n65895 98830\n90031 100000\n51805 77798\n42873 64394\n407 594\n19792 29628\n73146 100000\n87058 100000\n65220 97831\n59405 89172\n68088 100000\n95151 100000\n81815 100000\n93365 100000\n15324 22881\n22813 34142\n30307 45440\n46979 70547\n88723 100000\n54555 81893\n79837 100000\n70485 100000\n54575 81921\n34323 51489\n77682 100000\n35435 53178\n14143 21132\n26586 39808\n24141 36121\n12585 18808\n25401 38030\n36421 54665\n25022 37465\n7516 11213\n54089 81194\n37193 55818\n73414 100000\n54947 82472\n57249 85956\n40398 60654\n66388 99559\n33228 49854\n30777 46156\n99848 100000\n57009 85597\n37977 56991\n16212 24214\n22166 33193\n27710 41517\n96455 100000\n8706 12979\n18491 27637\n78573 100000\n79284 100000\n42925 64476\n76398 100000\n2742 4084\n89474 100000\n58240 87428\n35122 52711\n33101 49660\n58434 87719\n87413 100000\n17988 26876\n66340 99492\n17137 25604\n26028 38962\n84763 100000\n26557 39766\n78027 100000\n5329 7961\n45941 68978\n27429 41085\n52658 79047\n38553 57882\n81033 100000\n14286 21343\n73224 100000\n47354 71128\n78011 100000\n49996 75092\n4183 6247\n82713 100000\n794 1171\n16437 24556\n23712 35486\n74827 100000\n63508 95269\n14715 21968\n89013 100000\n38037 57084\n24261 36307\n2478 3683\n18341 27416\n89113 100000\n7960 11864\n39559 59413\n97297 100000\n31469 47191\n54994 82546\n75328 100000\n61203 91844\n84142 100000\n48580 72958\n35394 53114\n4273 6378\n10407 15507\n26885 40259\n5612 8362\n86083 100000\n734 1083\n32859 49296\n29481 44177\n68372 100000\n28299 42396\n32611 48911\n81570 100000\n67718 100000\n73954 100000\n73509 100000\n74319 100000\n36497 54773\n50045 75164\n21722 32526\n27679 41468\n53766 80699\n97496 100000\n87408 100000\n30629 45934\n51778 77755\n48746 73214\n55171 82807\n67963 100000\n25606 38336\n81671 100000\n14969 22340\n37209 55841\n99554 100000\n60055 90141\n84202 100000\n33990 50996\n63395 95099\n89818 100000\n97780 100000\n76860 100000\n58251 87446\n6754 10052\n29339 43970\n18200 27204\n98328 100000\n18515 27674\n9512 14177\n67517 100000\n9084 13544\n52818 79284\n89671 100000\n311 452\n51950 78006\n36540 54839\n86459 100000\n37910 56886\n11645 17382\n54981 82524\n68280 100000\n99356 100000\n12622 18864\n47 68\n17895 26733\n35391 53109\n49906 74958\n57297 86028\n88931 100000\n55098 82699\n73669 100000\n60686 91070\n19694 29479\n75334 100000\n34662 52014\n13700 20473\n57489 86306\n23707 35479\n86645 100000\n48709 73159\n91164 100000\n68109 100000\n11977 17887\n85975 100000\n811 1197\n32449 48669\n65578 98365\n11060 16507\n97555 100000\n2751 4095\n96209 100000\n69286 100000\n25002 37437\n56451 84758\n63131 94714\n45085 67697\n91292 100000\n55649 83552\n96113 100000\n40061 60150\n31813 47698\n15570 23259\n25476 38141\n55541 83386\n2700 4022\n58415 87695\n52589 78941\n65244 97864\n82372 100000\n8658 12902\n66444 99643\n98520 100000\n46208 69381\n38802 58270\n17273 25809\n42096 63218\n72742 100000\n76095 100000\n12764 19089\n48283 72524\n89936 100000\n62140 93247\n11617 17342\n98530 100000\n88125 100000\n28124 42128\n93460 100000\n61961 92976\n1106 1638\n88517 100000\n67478 100000\n63469 95210\n7113 10602\n52561 78898\n42397 63694\n52178 78344\n82250 100000\n90104 100000\n77793 100000\n33537 50321\n40458 60746\n53152 79774\n61543 92352\n14893 22227\n87778 100000\n68192 100000\n65631 98434\n76363 100000\n77687 100000\n58925 88465\n59688 89592\n41934 62981\n16220 24224\n97589 100000\n97178 100000\n14002 20920\n74241 100000\n38039 57086\n36532 54827\n93324 100000\n26820 40159\n49896 74945\n86148 100000\n52257 78458\n12690 18968\n75744 100000\n94645 100000\n5355 7997\n90392 100000\n41606 62493\n32869 49316\n50037 75154\n5182 7746\n89814 100000\n87162 100000\n78557 100000\n21198 31738\n78407 100000\n98756 100000\n79371 100000\n75116 100000\n45316 68042\n34855 52307\n57897 86915\n86583 100000\n68624 100000\n35056 52606\n44727 67166\n31327 46976\n20122 30122\n67823 100000\n54572 81916\n66292 99421\n51783 77763\n70204 100000\n75464 100000\n52947 79480\n86650 100000\n80361 100000\n92671 100000\n83776 100000\n68646 100000\n45241 67930\n1930 2868\n83853 100000\n47182 70861\n75588 100000\n18328 27396\n30232 45320\n48946 73518\n41499 62328\n85388 100000\n14350 21435\n24931 37322\n43761 65721\n68281 100000\n95650 100000\n68155 100000\n20166 30185\n67964 100000\n71255 100000\n19102 28564\n25366 37975\n60125 90245\n63038 94578\n10374 15460\n5363 8006\n79750 100000\n89159 100000\n39700 59620\n67505 100000\n33733 50616\n55084 82677\n38059 57115\n85158 100000\n49629 74544\n47325 71078\n71385 100000\n51392 77190\n32255 48367\n79717 100000\n4702 7021\n98618 100000\n5918 8814\n7921 11805\n31050 46557\n35169 52781\n32171 48247\n38628 57999\n16951 25319\n91863 100000\n33465 50215\n45601 68467\n94464 100000\n78994 100000\n35902 53889\n10353 15433\n84902 100000\n2693 4012\n86262 100000\n36586 54903\n13893 20762\n89507 100000\n44789 67258\n37386 56105\n69614 100000\n42192 63365\n80024 100000\n23262 34812\n11876 17739\n40438 60717\n75211 100000\n52572 78917\n84657 100000\n34276 51418\n88281 100000\n66565 99824\n55865 83883\n75303 100000\n43118 64770\n39625 59512\n2906 4332\n54352 81584\n36009 54052\n18621 27828\n26741 40041\n44428 66727\n28334 42454\n84156 100000\n28691 42995\n70305 100000\n94641 100000\n89468 100000\n6225 9263\n12138 18137\n11085 16547\n32545 48811\n4162 6213\n4540 6787\n56333 84578\n79258 100000\n47303 71045\n33447 50189\n11081 16542\n291 423\n14154 21149\n78256 100000\n81419 100000\n46212 69386\n60199 90354\n1986 2948\n40919 61445\n40673 61083\n10528 15685\n28771 43114\n87898 100000\n20425 30589\n12959 19367\n13966 20865\n27177 40705\n10439 15552\n47192 70877\n18565 27747\n72475 100000\n31159 46720\n38582 57927\n98404 100000\n1037 1533\n59047 88644\n30882 46312\n77097 100000\n7700 11484\n39201 58871\n53145 79764\n80466 100000\n38392 57639\n92309 100000\n7672 11446\n76670 100000\n63370 95062\n23174 34674\n62066 93133\n10981 16390\n8787 13091\n67329 100000\n65353 98032\n36793 55220\n77014 100000\n22556 33767\n60228 90396\n31207 46795\n37046 55598\n43759 65719\n49794 74795\n78371 100000\n35370 53076\n45445 68234\n47857 71892\n9979 14881\n62622 93973\n20525 30734\n6790 10108\n42270 63493\n4794 7158\n92544 100000\n99066 100000\n21631 32390\n59155 88805\n37577 56397\n71410 100000\n56307 84538\n74481 100000\n21373 31993\n62783 94211\n30969 46442\n88541 100000\n78667 100000\n98625 100000\n63454 95186\n20758 31085\n48202 72405\n97848 100000\n14020 20947\n84555 100000\n97885 100000\n89721 100000\n98696 100000\n25270 37832\n2329 3464\n64892 97348\n1323 1973\n51170 76849\n5923 8821\n41029 61621\n46618 70007\n9763 14554\n41647 62551\n10633 15843\n24316 36393\n41784 62757\n70908 100000\n63037 94577\n38147 57254\n79425 100000\n98589 100000\n44824 67307\n35247 52902\n96453 100000\n79700 100000\n41757 62715\n12813 19154\n94785 100000\n88159 100000\n86656 100000\n28853 43245\n69269 100000\n96971 100000\n38321 57531\n92568 100000\n85118 100000\n29568 44306\n15943 23815\n40802 61273\n63718 95582\n69707 100000\n3968 5920\n33514 50285\n55798 83780\n38822 58301\n76566 100000\n93390 100000\n10745 16027\n12665 18928\n23887 35745\n79100 100000\n62891 94369\n90233 100000\n71799 100000\n90224 100000\n91179 100000\n18090 27034\n25642 38386\n39558 59411\n93000 100000\n65058 97600\n90 125\n82140 100000\n38391 57638\n78958 100000\n79340 100000\n41736 62685\n11126 16605\n83705 100000\n94924 100000\n16646 24864\n58588 87958\n31752 47612\n57734 86668\n51776 77752\n46310 69541\n77020 100000\n50219 75418\n71099 100000\n12201 18229\n61089 91680\n35407 53135\n77280 100000\n92321 100000\n40025 60097\n72344 100000\n76565 100000\n1715 2558\n75160 100000\n62069 93138\n2776 4136\n61654 92513\n91918 100000\n75048 100000\n38631 58005\n38970 58527\n7692 11475\n71137 100000\n94844 100000\n83905 100000\n45678 68590\n1267 1884\n49965 75042\n47921 71983\n30722 46071\n97371 100000\n58110 87237\n15890 23739\n73636 100000\n59026 88611\n75185 100000\n87155 100000\n53759 80688\n83716 100000\n56718 85158\n9256 13805\n42152 63306\n77690 100000\n38763 58208\n49967 75044\n43382 65173\n31420 47121\n69182 100000\n24064 36009\n53455 80233\n49684 74627\n82457 100000\n71269 100000\n55792 83773\n95301 100000\n10129 15104\n28426 42596\n78892 100000\n70228 100000\n51602 77495\n41220 61911\n18382 27475\n68211 100000\n83226 100000\n93964 100000\n13287 19866\n2308 3436\n42484 63820\n12062 18018\n80960 100000\n77330 100000\n47752 71739\n34508 51777\n14930 22284\n63355 95044\n23982 35893\n1940 2883\n79127 100000\n39679 59591\n26384 39502\n41922 62965\n42526 63876\n4399 6570\n67748 100000\n5984 8912\n68453 100000\n82509 100000\n71779 100000\n78950 100000\n10966 16369\n3771 5625\n79895 100000\n67580 100000\n84755 100000\n78519 100000\n26429 39570\n16749 25021\n11967 17873\n46679 70098\n99709 100000\n8130 12120\n86426 100000\n43879 65900\n59303 89021\n88437 100000\n37986 57003\n6689 9955\n87829 100000\n80512 100000\n68160 100000\n68560 100000\n75358 100000\n50499 75849\n15046 22459\n66413 99593\n41196 61875\n71181 100000\n79246 100000\n94510 100000\n55661 83572\n89830 100000\n65473 98208\n44321 66559\n66623 99913\n27014 40460\n8417 12543\n15660 23402\n94660 100000\n45829 68815\n19762 29580\n19101 28563\n42735 64184\n11059 16506\n55346 83084\n19719 29518\n56149 84296\n81759 100000\n20220 30268\n11665 17411\n73894 100000\n37791 56710\n65980 98951\n18689 27932\n56000 84076\n72368 100000\n53888 80887\n63622 95439\n62700 94089\n24562 36758\n58147 87292\n63803 95719\n6895 10268\n75896 100000\n62623 93975\n85209 100000\n55504 83324\n74334 100000\n94539 100000\n68461 100000\n64527 96805\n86610 100000\n9016 13440\n90211 100000\n63154 94746\n59082 88693\n77187 100000\n42310 63556\n67975 100000\n11794 17615\n33582 50389\n11205 16717\n14915 22259\n64910 97375\n58029 87115\n73031 100000\n32142 48200\n5939 8844\n30186 45249\n76196 100000\n23748 35543\n16854 25179\n19895 29778\n7137 10638\n85817 100000\n32819 49228\n2734 4073\n34233 51359\n22484 33667\n32214 48307\n58066 87173\n71126 100000\n27557 41287\n11854 17707\n48237 72457\n65558 98335\n64478 96728\n7691 11474\n92688 100000\n97843 100000\n86472 100000\n24288 36350\n13608 20335\n68314 100000\n50889 76427\n97522 100000\n79049 100000\n44156 66312\n26602 39833\n93807 100000\n80161 100000\n92315 100000\n21737 32547\n92779 100000\n35358 53061\n43219 64931\n59245 88934\n30792 46178\n65971 98938\n38765 58210\n20935 31352\n6997 10421\n80122 100000\n96005 100000\n75743 100000\n17941 26807\n71796 100000\n80774 100000\n57498 86320\n80037 100000\n93022 100000\n30998 46485\n27155 40671\n57727 86657\n39815 59792\n24591 36802\n59631 89511\n55001 82556\n87330 100000\n3623 5400\n78384 100000\n46139 69275\n62967 94476\n32590 48881\n65367 98052\n36706 55089\n26889 40265\n58675 88095\n43835 65832\n59775 89720\n5437 8116\n85466 100000\n69066 100000\n13659 20412\n28235 42305\n84458 100000\n58991 88562\n83071 100000\n83503 100000\n662 974\n38875 58386\n76976 100000\n72088 100000\n33491 50250\n12978 19395\n75100 100000\n15360 22933\n86492 100000\n55856 83870\n19349 28947\n93784 100000\n90464 100000\n65731 98585\n48627 73028\n46215 69391\n22758 34066\n79562 100000\n18923 28293\n48212 72421\n15057 22477\n70998 100000\n21419 32067\n43331 65099\n81190 100000\n99784 100000\n94613 100000\n4257 6354\n47341 71106\n1991 2955\n28893 43304\n57710 86634\n12997 19425\n25009 37447\n65273 97909\n83102 100000\n76522 100000\n51927 77971\n91115 100000\n36464 54726\n40811 61285\n68849 100000\n85829 100000\n25074 37539\n36284 54463\n40987 61552\n54702 82109\n52389 78649\n15658 23398\n80699 100000\n70460 100000\n41943 62995\n39227 58904\n33758 50656\n73362 100000\n98479 100000\n26594 39822\n31761 47624\n99830 100000\n14071 21022\n89445 100000\n9155 13648\n1131 1677\n93888 100000\n48454 72767\n74915 100000\n42014 63097\n63427 95145\n16986 25372\n48085 72228\n22589 33817\n13170 19685\n5374 8024\n7070 10532\n39894 59908\n12236 18283\n54354 81586\n79481 100000\n4141 6179\n67740 100000\n70983 100000\n70562 100000\n57267 85982\n61090 91681\n14573 21762\n84806 100000\n16666 24896\n86713 100000\n11923 17808\n48677 73107\n83277 100000\n15746 23527\n49326 74088\n25313 37893\n57942 86984\n72611 100000\n68518 100000\n64641 96980\n70753 100000\n16682 24919\n72145 100000\n63288 94940\n51336 77103\n98873 100000\n48554 72917\n36517 54804\n15663 23405\n92391 100000\n52113 78243\n69352 100000\n16681 24918\n79888 100000\n667 982\n71456 100000\n83276 100000\n83472 100000\n46646 70044\n97697 100000\n90820 100000\n9745 14525\n10178 15174\n20405 30563\n95805 100000\n80776 100000\n86473 100000\n52208 78386\n94253 100000\n41232 61929\n95703 100000\n68364 100000\n63762 95652\n3940 5877\n11825 17666\n51356 77130\n86552 100000\n5209 7785\n33485 50242\n52664 79058\n264 382\n74541 100000\n69754 100000\n79968 100000\n93545 100000\n39944 59980\n78516 100000\n59584 89443\n38789 58248\n24151 36139\n82139 100000\n26016 38946\n96326 100000\n16492 24639\n79001 100000\n19725 29527\n78613 100000\n15022 22421\n64279 96428\n12384 18505\n21313 31906\n25205 37735\n8632 12861\n32192 48276\n98765 100000\n46008 69079\n38436 57704\n58796 88271\n59104 88724\n72567 100000\n2179 3247\n33286 49937\n27250 40814\n99519 100000\n7083 10553\n77923 100000\n98458 100000\n54755 82189\n74354 100000\n34886 52347\n31449 47163\n88256 100000\n81528 100000\n3276 4872\n14647 21876\n18402 27506\n58583 87950\n31808 47689\n46667 70077\n97001 100000\n98581 100000\n82591 100000\n37877 56838\n51178 76862\n58673 88091\n89770 100000\n95244 100000\n56560 84918\n43139 64805\n48448 72759\n2656 3958\n92032 100000\n82674 100000\n17837 26643\n42904 64444\n38937 58475\n16559 24737\n7793 11620\n20740 31060\n29763 44608\n14799 22094\n24899 37274\n55267 82959\n19210 28732\n48918 73475\n65032 97561\n93090 100000\n67168 100000\n8869 13219\n10807 16122\n48282 72523\n10150 15133\n82235 100000\n13288 19867\n42480 63814\n62715 94111\n50994 76583\n70535 100000\n53906 80915\n32955 49441\n76441 100000\n74465 100000\n44613 66989\n29505 44210\n19125 28602\n83983 100000\n38389 57636\n20044 30006\n84409 100000\n3302 4907\n66088 99115\n35393 53112\n4424 6605\n78105 100000\n67631 100000\n1480 2209\n26564 39775\n11306 16874\n63926 95904\n511 756\n97173 100000\n50696 76145\n36386 54611\n31341 46998\n87548 100000\n73534 100000\n98501 100000\n24354 36446\n41938 62988\n48527 72877\n1690 2520\n84484 100000\n61301 91987\n38027 57069\n920 1358\n58922 88462\n97199 100000\n44124 66264\n33407 50127\n9929 14808\n82890 100000\n10279 15322\n39946 59984\n42990 64578\n18403 27507\n80481 100000\n27004 40447\n79532 100000\n10493 15633\n34796 52222\n72406 100000\n13584 20298\n59916 89932\n53421 80180\n40628 61017\n12598 18829\n76193 100000\n83004 100000\n50462 75792\n61524 92326\n46477 69791\n20761 31091\n35248 52903\n10992 16405\n61480 92257\n91400 100000\n17433 26056\n13800 20617\n99944 100000\n8531 12713\n37066 55626\n69679 100000\n8549 12735\n46154 69297\n92986 100000\n12805 19142\n49059 73691\n79396 100000\n81446 100000\n72094 100000\n57203 85890\n1479 2207\n13438 20085\n46464 69771\n90589 100000\n14627 21842\n60380 90616\n68918 100000\n99154 100000\n91768 100000\n62054 93118\n1404 2093\n1164 1730\n21819 32666\n23797 35614\n38871 58379\n54314 81526\n94815 100000\n63770 95664\n28107 42105\n29496 44199\n46150 69291\n11064 16514\n84795 100000\n30838 46247\n19763 29581\n23605 35321\n51655 77572\n5176 7736\n9054 13495\n63776 95675\n28633 42915\n58270 87479\n96704 100000\n2037 3026\n70602 100000\n20858 31236\n4943 7386\n19403 29027\n50719 76178\n84824 100000\n36300 54487\n91659 100000\n23549 35241\n66551 99804\n85977 100000\n85755 100000\n70811 100000\n48707 73157\n63285 94936\n62047 93109\n32518 48773\n24980 37402\n3851 5748\n32882 49335\n81633 100000\n287 419\n31835 47728\n65722 98571\n32291 48420\n7461 11133\n84177 100000\n35134 52730\n53802 80755\n46018 69093\n96915 100000\n84300 100000\n12348 18449\n95912 100000\n15956 23835\n84664 100000\n66253 99362\n79277 100000\n96193 100000\n50317 75568\n46220 69398\n7189 10718\n25343 37939\n40358 60593\n73477 100000\n47781 71784\n78549 100000\n65510 98266\n996 1471\n53807 80765\n39058 58660\n60448 90720\n62174 93302\n26100 39069\n3661 5457\n31427 47131\n58613 87995\n21579 32311\n57366 86128\n34071 51116\n56587 84955\n29700 44513\n15273 22807\n98012 100000\n78948 100000\n51103 76747\n92267 100000\n51425 77235\n2145 3198\n30238 45329\n2276 3390\n95909 100000\n55316 83036\n16597 24792\n37240 55889\n22684 33955\n95892 100000\n38319 57528\n9796 14602\n94309 100000\n64636 96974\n64264 96406\n14051 20991\n32829 49244\n61474 92251\n60540 90856\n52971 79517\n3560 5299\n24144 36126\n94265 100000\n88798 100000\n28632 42913\n81321 100000\n42609 64005\n73069 100000\n68331 100000\n42419 63728\n97732 100000\n72515 100000\n55943 83998\n49656 74583\n71142 100000\n1094 1619\n29004 43472\n22842 34181\n32908 49373\n5924 8822\n74365 100000\n53029 79599\n79453 100000\n3352 4980\n50311 75558\n72759 100000\n77817 100000\n69705 100000\n46867 70382\n16411 24516\n44968 67522\n48170 72355\n18372 27459\n15935 23803\n9444 14082\n30996 46482\n58168 87320\n13628 20366\n84710 100000\n344 504\n3589 5342\n66511 99747\n41506 62341\n38377 57618\n6859 10211\n8592 12804\n40562 60910\n47311 71056\n21736 32545\n17965 26846\n55326 83052\n41047 61648\n13586 20300\n38666 58058\n67708 100000\n11188 16696\n7416 11068\n34221 51343\n11142 16629\n1615 2414\n96962 100000\n10537 15699\n79344 100000\n51044 76654\n53643 80511\n96856 100000\n23029 34457\n24333 36414\n62059 93124\n245 355\n93334 100000\n7742 11542\n20560 30784\n3415 5074\n42392 63684\n93198 100000\n73029 100000\n84329 100000\n68906 100000\n46285 69502\n5716 8520\n16707 24958\n40276 60470\n61078 91666\n93806 100000\n42514 63860\n12124 18115\n76954 100000\n92288 100000\n5671 8453\n95280 100000\n38471 57754\n74201 100000\n49575 74460\n95782 100000\n27258 40826\n88900 100000\n91277 100000\n61510 92304\n98894 100000\n93033 100000\n3706 5526\n20057 30026\n91592 100000\n56162 84314\n87221 100000\n92817 100000\n82725 100000\n23153 34643\n98293 100000\n5738 8552\n41063 61675\n70522 100000\n21992 32927\n67923 100000\n3626 5404\n62605 93946\n98356 100000\n55572 83432\n31322 46968\n87309 100000\n79681 100000\n50131 75294\n24443 36577\n58849 88354\n93035 100000\n46573 69940\n81839 100000\n6833 10170\n96454 100000\n48743 73209\n77595 100000\n37646 56497\n31643 47458\n60754 91177\n60471 90753\n11856 17710\n42180 63347\n42548 63907\n26493 39669\n38605 57966\n35540 53334\n29214 43786\n95006 100000\n71078 100000\n26907 40296\n63124 94701\n96053 100000\n28113 42113\n37262 55923\n98525 100000\n94822 100000\n1811 2696\n89627 100000\n26750 40055\n86471 100000\n13358 19966\n33967 50960\n33964 50956\n31059 46569\n21260 31831\n54166 81309\n97348 100000\n28607 42877\n99861 100000\n83211 100000\n96701 100000\n73313 100000\n2768 4124\n30695 46034\n59111 88735\n80510 100000\n46494 69818\n61430 92178\n27423 41075\n27912 41822\n22623 33866\n88436 100000\n77931 100000\n36089 54179\n30074 45074\n76289 100000\n74078 100000\n18796 28102\n61898 92884\n51123 76776\n22553 33764\n48667 73093\n40958 61507\n5607 8354\n34850 52300\n12410 18542\n95055 100000\n51606 77502\n72376 100000\n1373 2048\n70568 100000\n30064 45059\n7317 10913\n83876 100000\n51632 77539\n25037 37482\n67826 100000\n13159 19668\n64300 96457\n73980 100000\n54794 82246\n2206 3284\n14295 21357\n79595 100000\n93263 100000\n78930 100000\n51625 77529\n97254 100000\n10519 15672\n69281 100000\n44147 66298\n66450 99652\n92669 100000\n11620 17347\n73387 100000\n10030 14959\n66650 99955\n21093 31580\n57971 87026\n83870 100000\n11443 17085\n18797 28103\n14543 21722\n35297 52972\n16065 23999\n1450 2161\n83908 100000\n67926 100000\n78851 100000\n23489 35158\n51258 76983\n46179 69334\n4255 6350\n28027 41987\n3590 5344\n27720 41533\n55742 83695\n98691 100000\n799 1179\n11500 17169\n13141 19642\n33515 50287\n21922 32824\n44746 67194\n90452 100000\n82793 100000\n83850 100000\n32984 49482\n95198 100000\n65862 98781\n24406 36520\n91267 100000\n11194 16703\n80878 100000\n79291 100000\n89809 100000\n34751 52155\n28678 42979\n43998 66081\n3206 4768\n15595 23300\n98580 100000\n81734 100000\n66537 99780\n74964 100000\n97369 100000\n25995 38911\n54445 81720\n62584 93912\n32530 48790\n21732 32539\n39334 59067\n43753 65710\n64789 97195\n97207 100000\n9892 14749\n85120 100000\n74586 100000\n12624 18867\n35620 53456\n96268 100000\n96016 100000\n85361 100000\n80528 100000\n12706 18995\n24838 37182\n43275 65016\n2745 4088\n55629 83523\n23267 34819\n2491 3701\n69436 100000\n76627 100000\n103 139\n22626 33870\n78300 100000\n40019 60090\n75897 100000\n11746 17538\n96782 100000\n56952 85511\n56620 85006\n29483 44181\n90934 100000\n71691 100000\n73864 100000\n43465 65295\n53813 80774\n21936 32845\n27316 40914\n34317 51479\n13878 20739\n49599 74497\n22896 34260\n32767 49147\n55905 83940\n65056 97597\n98427 100000\n90298 100000\n62263 93436\n97231 100000\n29652 44438\n29110 43626\n21404 32043\n70703 100000\n75762 100000\n99824 100000\n85878 100000\n24532 36712\n15756 23543\n61546 92356\n37588 56413\n42823 64320\n34803 52231\n40373 60616\n30428 45627\n77054 100000\n81762 100000\n66609 99892\n82168 100000\n18303 27362\n65211 97818\n16581 24770\n43966 66035\n63637 95461\n5271 7876\n98080 100000\n52302 78521\n15862 23703\n94968 100000\n80730 100000\n39404 59181\n21534 32243\n41243 61943\n73442 100000\n61667 92536\n11800 17625\n47658 71596\n11159 16653\n51059 76679\n47023 70615\n59418 89193\n73096 100000\n10518 15670\n16180 24169\n92579 100000\n38107 57190\n89274 100000\n51374 77159\n20717 31024\n37499 56279\n87070 100000\n4988 7454\n79230 100000\n98072 100000\n80428 100000\n64595 96911\n69334 100000\n38267 57446\n66523 99763\n95708 100000\n9104 13572\n82477 100000\n1183 1760\n67139 100000\n95964 100000\n33133 49710\n25377 37991\n79155 100000\n79232 100000\n6605 9834\n27818 41676\n73161 100000\n15841 23671\n42833 64337\n85859 100000\n9213 13734\n73425 100000\n48624 73024\n64858 97298\n65585 98375\n83001 100000\n20518 30724\n50750 76225\n59800 89758\n81315 100000\n39448 59249\n6838 10178\n44118 66255\n19091 28545\n92639 100000\n74785 100000\n63335 95013\n22648 33900\n72666 100000\n89878 100000\n84563 100000\n32454 48677\n30378 45547\n60554 90876\n28379 42518\n57225 85919\n85562 100000\n22690 33963\n51028 76633\n10157 15144\n16921 25275\n26255 39308\n88486 100000\n34900 52368\n43121 64775\n18582 27773\n74070 100000\n91558 100000\n4936 7374\n95360 100000\n86122 100000\n79464 100000\n85636 100000\n86543 100000\n92939 100000\n96447 100000\n91717 100000\n12179 18197\n37987 57005\n26643 39897\n39929 59959\n87969 100000\n77635 100000\n14457 21591\n15044 22457\n57247 85952\n44051 66156\n92384 100000\n4316 6445\n62335 93545\n51001 76593\n54576 81923\n44414 66704\n1649 2463\n22372 33504\n48368 72642\n44039 66139\n32934 49412\n94767 100000\n28203 42255\n64335 96507\n67689 100000\n97887 100000\n3575 5322\n18343 27420\n3423 5086\n65044 97578\n92938 100000\n99956 100000\n44028 66125\n41998 63074\n1926 2863\n24196 36211\n90034 100000\n92830 100000\n9927 14805\n85492 100000\n81618 100000\n36306 54495\n66516 99753\n67281 100000\n37029 55572\n77849 100000\n54648 82028\n20397 30548\n97347 100000\n97878 100000\n83382 100000\n41307 62042\n37686 56559\n96496 100000\n55188 82831\n6261 9319\n23666 35415\n41134 61780\n29898 44807\n29332 43960\n74125 100000\n79164 100000\n36008 54051\n47498 71350\n97188 100000\n10290 15341\n39380 59141\n795 1173\n20254 30320\n48541 72899\n58574 87936\n49588 74481\n71281 100000\n5218 7800\n25559 38263\n21707 32503\n60241 90415\n5050 7548\n37883 56848\n11292 16855\n5415 8086\n55704 83637\n38967 58522\n48117 72279\n39758 59707\n44925 67453\n61578 92403\n63322 94992\n41444 62244\n28474 42673\n22737 34034\n68373 100000\n867 1274\n46279 69491\n9279 13842\n22848 34189\n79192 100000\n85618 100000\n85180 100000\n26401 39531\n62326 93533\n51177 76861\n60485 90772\n93850 100000\n1812 2697\n89654 100000\n41065 61678\n28965 43413\n30902 46342\n86370 100000\n93646 100000\n10710 15967\n28910 43328\n99992 100000\n67137 100000\n96644 100000\n18070 27002\n86977 100000\n76943 100000\n93789 100000\n60435 90700\n98433 100000\n12938 19332\n66238 99337\n79920 100000\n16765 25049\n90220 100000\n80072 100000\n91296 100000\n7223 10769\n49150 73823\n39062 58667\n83601 100000\n85273 100000\n22381 33516\n71199 100000\n44484 66805\n17367 25949\n96675 100000\n91940 100000\n4532 6775\n24379 36485\n35342 53040\n30361 45522\n53350 80076\n93229 100000\n27149 40663\n83132 100000\n87064 100000\n60305 90504\n7624 11375\n7775 11590\n36266 54440\n55714 83653\n92498 100000\n71973 100000\n95613 100000\n610 892\n80561 100000\n38725 58147\n82120 100000\n77157 100000\n65657 98469\n73751 100000\n99253 100000\n13682 20445\n93104 100000\n90410 100000\n8807 13123\n81617 100000\n8760 13054\n23187 34695\n83637 100000\n40539 60877\n50641 76069\n3617 5390\n12288 18357\n94154 100000\n91154 100000\n57469 86275\n54078 81176\n89364 100000\n68103 100000\n93074 100000\n47290 71029\n7696 11479\n12683 18957\n61915 92910\n43754 65711\n31005 46495\n11509 17184\n62060 93125\n92876 100000\n90251 100000\n29814 44682\n33172 49770\n85412 100000\n86040 100000\n15080 22513\n28663 42958\n2325 3460\n3718 5546\n29756 44596\n70421 100000\n22743 34044\n26780 40103\n83703 100000\n76472 100000\n69034 100000\n7322 10922\n23155 34646\n73149 100000\n91538 100000\n86554 100000\n28939 43374\n5540 8260\n13030 19472\n61248 91905\n50046 75165\n71637 100000\n21712 32512\n11666 17412\n28237 42307\n1321 1970\n53332 80050\n14918 22265\n68307 100000\n60321 90528\n18106 27060\n77501 100000\n86284 100000\n58079 87192\n15810 23625\n53512 80316\n71315 100000\n19940 29843\n82909 100000\n18684 27923\n82687 100000\n21665 32441\n39934 59967\n64047 96082\n1283 1906\n30209 45286\n64193 96295\n73140 100000\n82702 100000\n77234 100000\n22421 33579\n59664 89561\n10106 15071\n69248 100000\n85808 100000\n53446 80221\n12743 19058\n38874 58384\n84116 100000\n43108 64753\n28780 43131\n56695 85125\n20368 30502\n76611 100000\n93249 100000\n8553 12741\n94334 100000\n30371 45535\n43522 65369\n46335 69579\n5978 8904\n84475 100000\n95937 100000\n65665 98484\n24635 36870\n38444 57716\n87153 100000\n99446 100000\n15483 23120\n97222 100000\n73158 100000\n71862 100000\n78156 100000\n58652 88059\n7721 11515\n62925 94418\n9015 13438\n90832 100000\n61217 91863\n80716 100000\n21515 32214\n14105 21073\n85053 100000\n49096 73744\n57925 86959\n63995 96004\n43170 64855\n96327 100000\n58232 87418\n72860 100000\n33331 50011\n69625 100000\n14260 21308\n81577 100000\n530 784\n26842 40196\n47241 70954\n79730 100000\n66012 99005\n66185 99259\n58990 88561\n63584 95383\n63606 95416\n2261 3366\n14744 22012\n79981 100000\n23750 35545\n92919 100000\n79960 100000\n89505 100000\n58265 87471\n15005 22392\n22617 33857\n7386 11023\n96718 100000\n52982 79533\n61488 92270\n68765 100000\n50777 76268\n61527 92330\n11723 17502\n52896 79401\n29373 44019\n52219 78402\n94983 100000\n9217 13742\n49752 74733\n43277 65019\n52468 78760\n2211 3291\n25065 37526\n27652 41428\n22658 33916\n16031 23948\n81317 100000\n4490 6703\n10612 15815\n29324 43949\n31209 46798\n97542 100000\n83206 100000\n29072 43576\n94915 100000\n61117 91722\n33855 50801\n11690 17452\n67300 100000\n54365 81602\n58366 87618\n99040 100000\n61823 92765\n57532 86373\n22461 33635\n81239 100000\n51165 76843\n91564 100000\n96723 100000\n56434 84732\n49354 74131\n18028 26937\n34547 51835\n76426 100000\n74272 100000\n61867 92835\n45504 68312\n69348 100000\n74936 100000\n11381 16991\n8801 13114\n94696 100000\n62792 94223\n67219 100000\n10231 15252\n75916 100000\n60632 90994\n26057 39003\n24612 36833\n21124 31626\n89162 100000\n34883 52343\n50265 75484\n15851 23685\n38735 58162\n57556 86411\n88180 100000\n16021 23935\n94366 100000\n26936 40338\n20424 30588\n50949 76515\n17554 26234\n28311 42414\n47255 70976\n90424 100000\n83686 100000\n42196 63370\n40934 61471\n53622 80482\n76986 100000\n62699 94087\n13944 20830\n80036 100000\n69500 100000\n90733 100000\n56961 85523\n63239 94871\n94001 100000\n43506 65348\n94476 100000\n37632 56476\n59010 88590\n91969 100000\n71652 100000\n81995 100000\n19878 29753\n93895 100000\n52925 79447\n37459 56219\n64534 96818\n11075 16532\n85106 100000\n59018 88599\n78857 100000\n24875 37238\n67877 100000\n19577 29294\n50161 75339\n83309 100000\n62279 93462\n86600 100000\n99075 100000\n36076 54160\n36420 54663\n65608 98407\n95700 100000\n94505 100000\n71006 100000\n35112 52697\n81599 100000\n60810 91265\n75175 100000\n47102 70737\n71407 100000\n76853 100000\n75338 100000\n23416 35049\n98206 100000\n12441 18589\n82797 100000\n95487 100000\n67898 100000\n70097 100000\n29615 44380\n50193 75381\n99208 100000\n80655 100000\n85868 100000\n85959 100000\n27554 41282\n54349 81579\n1757 2617\n29219 43794\n63611 95423\n14596 21793\n32282 48408\n24430 36558\n64039 96071\n77032 100000\n51245 76964\n54155 81294\n64503 96767\n22900 34266\n61625 92470\n54162 81305\n20335 30457\n46372 69632\n23052 34488\n45585 68442\n83054 100000\n11556 17253\n2192 3263\n79262 100000\n82515 100000\n29278 43876\n60977 91511\n72245 100000\n25315 37896\n15014 22406\n47296 71036\n42593 63980\n34689 52056\n76272 100000\n17740 26504\n75748 100000\n10156 15142\n30085 45089\n35473 53233\n83804 100000\n46133 69267\n51049 76664\n34892 52357\n47403 71198\n42041 63136\n70143 100000\n66801 100000\n83957 100000\n99592 100000\n41964 63028\n94636 100000\n9922 14798\n53589 80430\n27727 41542\n89883 100000\n41532 62383\n76801 100000\n23455 35109\n7380 11013\n81449 100000\n81115 100000\n67890 100000\n44356 66614\n62222 93374\n66963 100000\n65080 97630\n8526 12706\n64481 96733\n42757 64221\n7214 10754\n39968 60015\n46728 70173\n27171 40696\n53039 79611\n55239 82913\n81872 100000\n3109 4622\n57057 85665\n67707 100000\n2645 3941\n70784 100000\n98236 100000\n34265 51403\n95422 100000\n6829 10163\n21993 32929\n72399 100000\n79636 100000\n84140 100000\n45016 67594\n37655 56509\n69966 100000\n22188 33226\n1918 2852\n18304 27363\n99362 100000\n34326 51494\n33957 50947\n64310 96470\n43001 64593\n87004 100000\n94852 100000\n5532 8247\n97070 100000\n53815 80777\n61862 92828\n87927 100000\n73299 100000\n45530 68348\n59659 89553\n86141 100000\n18701 27950\n51938 77988\n13737 20527\n32922 49395\n64716 97091\n51980 78050\n39927 59956\n43820 65810\n95561 100000\n66788 100000\n66101 99135\n16209 24210\n29794 44653\n22805 34131\n69353 100000\n32007 47997\n35137 52734\n52383 78641\n64225 96345\n85018 100000\n4909 7331\n54735 82159\n89836 100000\n25470 38133\n28797 43155\n52525 78847\n22265 33345\n66890 100000\n20808 31163\n69525 100000\n53003 79563\n57539 86383\n17179 25673\n99440 100000\n92127 100000\n86677 100000\n38710 58127\n62619 93968\n52026 78117\n70282 100000\n94691 100000\n45766 68717\n20097 30087\n82815 100000\n59136 88773\n60406 90655\n11273 16826\n44018 66112\n72955 100000\n5747 8564\n77490 100000\n82145 100000\n14380 21479\n55052 82630\n16251 24272\n55999 84074\n79483 100000\n46779 70248\n37527 56320\n17244 25765\n1324 1975\n50503 75856\n77443 100000\n70340 100000\n54453 81734\n11350 16944\n30116 45138\n57218 85911\n33609 50432\n93118 100000\n63040 94582\n30478 45704\n93719 100000\n68838 100000\n63948 95936\n44563 66917\n69056 100000\n37431 56176\n35357 53059\n81833 100000\n71701 100000\n92446 100000\n56946 85502\n814 1202\n71103 100000\n4595 6865\n44331 66573\n86138 100000\n90702 100000\n88403 100000\n10615 15820\n76471 100000\n95203 100000\n93877 100000\n34822 52259\n72121 100000\n40222 60390\n46374 69635\n36251 54417\n21201 31742\n22873 34228\n17285 25827\n47298 71038\n29298 43910\n10489 15626\n53316 80026\n57530 86370\n58057 87159\n75193 100000\n35102 52680\n62532 93832\n97262 100000\n95802 100000\n67882 100000\n94150 100000\n27397 41034\n61917 92914\n63440 95160\n90894 100000\n29119 43640\n42245 63455\n61127 91738\n53808 80767\n8691 12956\n22015 32964\n38760 58202\n19526 29218\n21929 32835\n26106 39080\n34475 51724\n89724 100000\n91713 100000\n2448 3639\n45587 68445\n49788 74784\n80034 100000\n66204 99287\n91450 100000\n26346 39447\n3295 4895\n56454 84764\n40938 61477\n33251 49883\n87489 100000\n50012 75116\n54262 81447\n28999 43465\n33044 49574\n28381 42520\n46260 69463\n25390 38011\n27990 41935\n38222 57374\n60565 90893\n10017 14934\n61531 92336\n41219 61910\n51293 77035\n27077 40556\n92934 100000\n83247 100000\n80527 100000\n69480 100000\n21692 32482\n70339 100000\n77924 100000\n26605 39836\n56366 84631\n89963 100000\n8961 13358\n96888 100000\n68080 100000\n51424 77234\n95322 100000\n51682 77610\n11586 17297\n40627 61015\n7409 11059\n76118 100000\n25973 38874\n63643 95471\n67735 100000\n77347 100000\n7934 11824\n56639 85039\n52424 78698\n14501 21651\n36083 54171\n98726 100000\n43194 64892\n85823 100000\n52586 78937\n31480 47207\n33089 49644\n99470 100000\n42997 64587\n5841 8702\n35433 53175\n4731 7063\n56635 85033\n23957 35853\n47148 70810\n18296 27351\n45780 68740\n45 65\n7018 10452\n96335 100000\n97505 100000\n80269 100000\n40033 60109\n88822 100000\n31318 46964\n49267 73997\n22741 34040\n30330 45480\n34407 51617\n59239 88927\n65771 98645\n68366 100000\n8421 12548\n85782 100000\n59388 89150\n94286 100000\n27513 41218\n36562 54867\n83814 100000\n24301 36369\n82519 100000\n77303 100000\n38354 57583\n80935 100000\n90753 100000\n43669 65589\n73922 100000\n80170 100000\n95513 100000\n1729 2577\n45814 68792\n64853 97291\n38175 57297\n79071 100000\n29803 44666\n3686 5496\n99296 100000\n18157 27143\n33298 49955\n60873 91363\n30149 45189\n69166 100000\n4560 6818\n87124 100000\n34966 52470\n9959 14852\n47734 71712\n40303 60513\n13298 19881\n77419 100000\n71238 100000\n22853 34196\n63267 94910\n23697 35463\n20210 30252\n69163 100000\n84276 100000\n51099 76741\n45240 67928\n61978 92998\n37268 55931\n83649 100000\n42581 63962\n21436 32094\n49422 74234\n56424 84716\n94795 100000\n98694 100000\n11766 17568\n40482 60786\n32687 49031\n99932 100000\n76629 100000\n2463 3662\n90495 100000\n95070 100000\n801 1183\n5992 8923\n18787 28086\n33939 50922\n14965 22333\n42277 63504\n53028 79598\n44378 66647\n1532 2289\n53125 79731\n13687 20453\n68043 100000\n8165 12175\n93839 100000\n27392 41025\n15593 23297\n33753 50648\n96034 100000\n87161 100000\n18888 28240\n25144 37641\n37084 55652\n35790 53718\n64501 96763\n94517 100000\n57237 85938\n35674 53535\n2446 3636\n53720 80627\n67202 100000\n78837 100000\n41808 62792\n60654 91026\n70596 100000\n30653 45972\n45863 68860\n21849 32717\n2200 3276\n29842 44722\n37739 56635\n39225 58902\n16346 24417\n33856 50802\n16109 24063\n99078 100000\n87013 100000\n4611 6887\n9881 14731\n23035 34466\n11564 17266\n10848 16185\n90666 100000\n21059 31531\n36264 54438\n6241 9287\n20573 30805\n47504 71358\n60051 90136\n15881 23729\n11140 16626\n74881 100000\n97489 100000\n19351 28950\n94794 100000\n34442 51675\n72144 100000\n69686 100000\n42376 63659\n53569 80397\n57830 86815\n27474 41155\n17234 25752\n55636 83532\n1413 2106\n94263 100000\n99642 100000\n22148 33167\n55277 82975\n6447 9601\n93577 100000\n98190 100000\n33157 49747\n3260 4846\n26396 39522\n92500 100000\n2051 3046\n17637 26359\n78260 100000\n57964 87015\n73358 100000\n29111 43627\n6190 9213\n38089 57163\n90942 100000\n98502 100000\n82762 100000\n42980 64564\n66406 99582\n17227 25740\n42021 63107\n78838 100000\n8447 12587\n95532 100000\n44386 66659\n33340 50026\n15505 23153\n82282 100000\n62577 93901\n30817 46215\n65092 97648\n9951 14841\n60591 90936\n56406 84690\n39199 58868\n83248 100000\n61940 92943\n14933 22287\n28974 43427\n40157 60289\n37748 56648\n34788 52212\n33268 49908\n37780 56691\n53123 79727\n568 835\n93121 100000\n73623 100000\n88585 100000\n68885 100000\n52964 79507\n24124 36095\n15054 22472\n82812 100000\n90256 100000\n95568 100000\n43417 65229\n57067 85679\n71665 100000\n7974 11886\n32976 49470\n53046 79621\n36207 54353\n14923 22273\n65557 98334\n52670 79067\n29722 44545\n33016 49533\n72942 100000\n86898 100000\n2177 3244\n69687 100000\n18780 28074\n75365 100000\n76927 100000\n7699 11483\n67925 100000\n9120 13596\n53453 80231\n60458 90734\n27396 41032\n14449 21579\n24187 36194\n68902 100000\n16467 24597\n77863 100000\n65087 97640\n34570 51872\n11837 17684\n51935 77983\n26944 40354\n96438 100000\n34588 51902\n87002 100000\n45217 67894\n38283 57470\n9495 14153\n77624 100000\n16207 24208\n48251 72478\n60427 90688\n23841 35683\n64089 96145\n2390 3551\n86007 100000\n4736 7070\n59761 89700\n83477 100000\n82396 100000\n81024 100000\n6962 10369\n62537 93839\n18191 27191\n61245 91901\n97310 100000\n13488 20158\n2936 4372\n20388 30532\n46121 69248\n45895 68908\n62910 94397\n40410 60671\n68225 100000\n19963 29878\n83246 100000\n80829 100000\n63259 94898\n62316 93518\n94310 100000\n96349 100000\n5337 7973\n24413 36530\n81608 100000\n4817 7191\n29662 44456\n55669 83585\n7912 11791\n10736 16011\n63964 95959\n14995 22377\n1727 2574\n51151 76822\n32850 49280\n27528 41243\n64967 97460\n41487 62307\n90198 100000\n15926 23792\n17078 25509\n90940 100000\n76894 100000\n72058 100000\n4535 6780\n57670 86575\n75810 100000\n10772 16069\n10850 16189\n50182 75366\n50809 76315\n54054 81137\n76956 100000\n91365 100000\n92084 100000\n53818 80781\n8614 12836\n93822 100000\n63270 94914\n89199 100000\n33117 49684\n29521 44234\n48134 72303\n65354 98033\n23169 34667\n5055 7555\n42172 63333\n65350 98027\n25671 38436\n45701 68624\n35193 52817\n14249 21290\n63264 94906\n56462 84774\n72559 100000\n50619 76039\n25580 38299\n91445 100000\n18894 28251\n89649 100000\n82233 100000\n93656 100000\n9290 13859\n31255 46866\n28550 42786\n70611 100000\n50121 75280\n75585 100000\n79840 100000\n54251 81429\n50587 75986\n84293 100000\n67519 100000\n48223 72437\n75143 100000\n83181 100000\n96582 100000\n90289 100000\n12528 18719\n49847 74875\n61057 91634\n81828 100000\n37167 55776\n53214 79870\n73690 100000\n52392 78652\n84271 100000\n56181 84344\n80489 100000\n41911 62949\n28529 42756\n51508 77357\n25557 38261\n79781 100000\n11973 17880\n88372 100000\n85246 100000\n35229 52873\n6434 9579\n50344 75609\n92336 100000\n27386 41018\n95952 100000\n85769 100000\n76175 100000\n23502 35177\n77312 100000\n64728 97109\n64969 97464\n15437 23051\n83356 100000\n68072 100000\n47225 70929\n97729 100000\n73531 100000\n64577 96885\n90330 100000\n20726 31037\n28155 42176\n46932 70474\n81374 100000\n66912 100000\n1394 2077\n58437 87723\n53386 80132\n89929 100000\n43819 65808\n72849 100000\n36969 55478\n77712 100000\n93926 100000\n88722 100000\n82923 100000\n85935 100000\n5492 8188\n48576 72951\n14419 21536\n59089 88702\n91563 100000\n5122 7657\n28231 42300\n37974 56988\n8544 12730\n26579 39797\n26076 39032\n91167 100000\n54179 81328\n51116 76766\n90234 100000\n66489 99714\n40797 61267\n95806 100000\n38247 57416\n18008 26907\n7940 11833\n76410 100000\n45647 68539\n51278 77012\n61772 92689\n82874 100000\n91390 100000\n5376 8026\n42565 63937\n97493 100000\n75619 100000\n67452 100000\n97354 100000\n27852 41726\n93096 100000\n91634 100000\n27870 41756\n15893 23744\n85900 100000\n32575 48856\n24709 36988\n4524 6761\n14077 21031\n33299 49956\n34455 51695\n21573 32302\n82773 100000\n37480 56253\n47285 71023\n99686 100000\n62246 93412\n67431 100000\n65468 98200\n27615 41373\n79302 100000\n68131 100000\n30737 46095\n25624 38359\n71240 100000\n68217 100000\n63175 94775\n5293 7909\n2432 3617\n8887 13245\n79442 100000\n36268 54442\n21590 32328\n67101 100000\n11712 17485\n85296 100000\n78195 100000\n44806 67282\n58564 87923\n18530 27695\n99189 100000\n6718 9993\n17272 25807\n50273 75495\n70582 100000\n42386 63675\n99715 100000\n94962 100000\n40821 61301\n24424 36549\n35575 53388\n67558 100000\n9903 14767\n5822 8675\n46359 69614\n61679 92553\n56194 84361\n62037 93093\n85210 100000\n42407 63709\n15661 23403\n91833 100000\n41201 61883\n14938 22294\n50463 75794\n45053 67653\n64062 96103\n87009 100000\n76161 100000\n29197 43759\n36768 55181\n20971 31405\n9149 13640\n65956 98918\n92571 100000\n17213 25722\n84366 100000\n71734 100000\n71040 100000\n74524 100000\n14798 22092\n70698 100000\n85177 100000\n12029 17966\n54225 81393\n46186 69346\n15629 23354\n10221 15236\n61257 91917\n96241 100000\n10260 15294\n76397 100000\n62825 94273\n43965 66033\n19129 28608\n78734 100000\n17034 25443\n34722 52112\n78397 100000\n17896 26734\n19953 29863\n31467 47188\n79176 100000\n8493 12656\n54593 81947\n80079 100000\n93505 100000\n55627 83519\n50960 76533\n76389 100000\n65029 97557\n87166 100000\n68800 100000\n68258 100000\n85481 100000\n80298 100000\n15148 22616\n99468 100000\n96400 100000\n8721 13002\n32253 48363\n71629 100000\n60468 90749\n2511 3738\n37457 56216\n33442 50180\n36802 55237\n61836 92785\n59957 89996\n9761 14551\n74281 100000\n29711 44528\n44238 66433\n46884 70408\n98997 100000\n75851 100000\n1598 2392\n61971 92989\n22196 33239\n97392 100000\n40803 61274\n67623 100000\n74625 100000\n58596 87971\n19073 28519\n65581 98369\n59647 89534\n83395 100000\n18010 26910\n11468 17124\n36855 55315\n91971 100000\n4607 6882\n48701 73147\n22858 34205\n80403 100000\n68556 100000\n33991 50997\n25018 37460\n91016 100000\n84662 100000\n14289 21348\n19300 28871\n46467 69775\n19932 29831\n89583 100000\n3653 5443\n40975 61532\n53632 80495\n99905 100000\n32298 48432\n32178 48255\n48733 73194\n64164 96254\n1303 1942\n27761 41594\n2205 3282\n44568 66924\n47153 70817\n64697 97062\n58372 87627\n25539 38234\n67297 100000\n37371 56082\n86736 100000\n79989 100000\n83147 100000\n32965 49455\n1213 1807\n57030 85626\n31555 47325\n60032 90106\n58093 87214\n43456 65285\n71455 100000\n30440 45646\n12711 19003\n56647 85050\n56492 84814\n84107 100000\n15136 22597\n41673 62589\n15130 22590\n72307 100000\n38604 57964\n85413 100000\n15294 22840\n58547 87896\n1319 1966\n24718 37002\n84294 100000\n34303 51460\n96518 100000\n37000 55530\n93425 100000\n76444 100000\n27058 40527\n2860 4261\n23980 35891\n57794 86758\n15393 22986\n37911 56887\n22779 34092\n43778 65746\n80211 100000\n55723 83666\n3313 4921\n6624 9860\n83641 100000\n48954 73527\n31739 47593\n41067 61681\n47699 71657\n86642 100000\n25064 37524\n68973 100000\n72226 100000\n2650 3948\n32623 48930\n90146 100000\n39994 60054\n31241 46845\n47672 71619\n79013 100000\n39997 60059\n97958 100000\n58546 87895\n80311 100000\n26158 39156\n38464 57743\n91054 100000\n44248 66450\n32258 48370\n11298 16861\n53501 80299\n56630 85024\n20098 30088\n36469 54734\n63592 95395\n75435 100000\n67902 100000\n81538 100000\n18963 28355\n43167 64850\n10836 16166\n3663 5460\n64004 96018\n96423 100000\n37022 55563\n83746 100000\n7413 11065\n1679 2502\n49874 74915\n92444 100000\n17412 26023\n14588 21782\n70692 100000\n49610 74515\n10891 16247\n87210 100000\n79673 100000\n25339 37933\n13428 20071\n68746 100000\n76073 100000\n98587 100000\n84805 100000\n67263 100000\n27900 41803\n48604 72993\n24044 35984\n75530 100000\n6023 8967\n61693 92572\n84947 100000\n93512 100000\n58494 87813\n32769 49150\n3540 5270\n78798 100000\n28793 43149\n75657 100000\n19305 28878\n39082 58695\n51788 77770\n67092 100000\n33121 49690\n52679 79081\n63626 95445\n12626 18871\n61319 92014\n85182 100000\n53435 80204\n30935 46392\n9005 13424\n8834 13163\n48688 73127\n94677 100000\n73619 100000\n29009 43478\n20982 31423\n91955 100000\n16415 24521\n12278 18340\n91823 100000\n99525 100000\n42185 63353\n82297 100000\n96170 100000\n74644 100000\n52412 78680\n62679 94058\n97448 100000\n2065 3069\n98720 100000\n51391 77188\n52109 78236\n76797 100000\n30396 45576\n95416 100000\n81281 100000\n49406 74211\n28141 42154\n71916 100000\n56776 85244\n7464 11138\n21112 31609\n49926 74986\n55713 83652\n92709 100000\n93827 100000\n14073 21025\n3413 5071\n71367 100000\n94975 100000\n51881 77905\n6275 9338\n43563 65427\n61441 92197\n53902 80908\n26461 39619\n70714 100000\n73015 100000\n94062 100000\n25473 38138\n20661 30938\n28285 42377\n98507 100000\n54151 81288\n57193 85874\n40176 60316\n50074 75212\n9689 14436\n24190 36200\n58683 88108\n92220 100000\n26846 40202\n61939 92942\n24787 37101\n11930 17819\n57785 86741\n39175 58833\n71414 100000\n59449 89241\n19952 29862\n67868 100000\n35415 53145\n33986 50989\n85723 100000\n24103 36066\n35136 52733\n34232 51358\n19432 29070\n42288 63519\n72605 100000\n63510 95272\n68271 100000\n19029 28449\n95278 100000\n66734 100000\n34510 51780\n59415 89189\n89502 100000\n72801 100000\n36531 54826\n87218 100000\n14908 22248\n35808 53747\n14021 20949\n10648 15865\n57484 86298\n74508 100000\n63408 95117\n45712 68638\n73389 100000\n27002 40444\n83564 100000\n89094 100000\n5847 8712\n1415 2108\n15705 23468\n84277 100000\n77519 100000\n64525 96801\n63004 94531\n21652 32421\n34127 51201\n97435 100000\n37353 56050\n7632 11388\n33020 49540\n62851 94312\n69713 100000\n16098 24048\n31779 47646\n74360 100000\n32849 49278\n96898 100000\n32612 48912\n25949 38836\n98301 100000\n18398 27499\n49857 74890\n45965 69015\n23515 35194\n6173 9187\n63990 95996\n39775 59735\n98035 100000\n65990 98968\n85436 100000\n32498 48745\n68374 100000\n86039 100000\n9547 14224\n92283 100000\n76648 100000\n26237 39276\n24013 35937\n86291 100000\n11448 17092\n17788 26569\n49988 75077\n21602 32348\n1548 2315\n16689 24928\n96197 100000\n64282 96433\n14416 21533\n92183 100000\n47592 71493\n6392 9514\n47890 71938\n12652 18907\n7678 11455\n26004 38928\n32855 49288\n45878 68883\n25822 38654\n51018 76620\n1672 2494\n67567 100000\n49472 74307\n98439 100000\n97634 100000\n29824 44697\n84996 100000\n68867 100000\n63275 94922\n55597 83472\n8513 12686\n16092 24040\n41113 61750\n9069 13518\n64698 97063\n89796 100000\n528 781\n20054 30021\n15843 23674\n57835 86822\n97904 100000\n20911 31316\n18231 27253\n22637 33885\n5668 8449\n4804 7172\n51617 77518\n16754 25030\n58748 88204\n69408 100000\n83243 100000\n3248 4833\n42115 63248\n44046 66149\n21793 32626\n20446 30617\n96537 100000\n22682 33953\n50888 76426\n34697 52069\n38787 58244\n49076 73715\n69150 100000\n8587 12794\n52970 79516\n33494 50255\n30609 45903\n18670 27902\n29786 44641\n81406 100000\n40407 60667\n24798 37119\n21632 32391\n92020 100000\n94825 100000\n61249 91906\n49235 73953\n71441 100000\n622 913\n7923 11807\n57445 86238\n14040 20976\n21401 32038\n77980 100000\n58557 87912\n60275 90462\n16382 24472\n69601 100000\n81504 100000\n21045 31510\n61669 92539\n54540 81867\n20217 30264\n1642 2453\n96880 100000\n21405 32045\n18506 27661\n55707 83641\n5947 8856\n51984 78055\n6773 10080\n82900 100000\n57302 86036\n18974 28373\n34882 52342\n91309 100000\n10805 16119\n833 1231\n87831 100000\n66158 99217\n41981 63054\n6959 10365\n74714 100000\n90246 100000\n94149 100000\n27504 41203\n32749 49120\n33248 49880\n76460 100000\n55275 82972\n47864 71901\n94576 100000\n61026 91586\n21824 32675\n92979 100000\n90286 100000\n41061 61672\n28191 42236\n52410 78677\n69254 100000\n25736 38529\n53746 80667\n91877 100000\n20272 30352\n44499 66828\n55553 83405\n15076 22506\n86875 100000\n78204 100000\n59809 89772\n1518 2269\n32128 48178\n13313 19901\n87327 100000\n39903 59920\n97574 100000\n66495 99723\n5094 7616\n16670 24902\n18850 28179\n67837 100000\n56291 84512\n26576 39793\n24655 36902\n95129 100000\n86849 100000\n55904 83939\n55726 83670\n32336 48494\n19228 28759\n56276 84488\n534 790\n7397 11040\n4593 6863\n61115 91718\n27886 41781\n68270 100000\n56266 84472\n48691 73131\n73150 100000\n25023 37466\n20498 30691\n23072 34516\n46792 70267\n89438 100000\n78855 100000\n67798 100000\n71649 100000\n35069 52628\n21182 31713\n90172 100000\n32555 48827\n82497 100000\n37850 56796\n53221 79881\n29576 44320\n28902 43315\n89222 100000\n27779 41620\n16135 24102\n38302 57501\n29639 44417\n42472 63802\n30031 45009\n98465 100000\n8970 13372\n77259 100000\n74744 100000\n88748 100000\n31719 47563\n57432 86224\n13981 20890\n63042 94585\n65505 98259\n47881 71926\n75814 100000\n14356 21444\n88074 100000\n79664 100000\n9569 14254\n42110 63241\n14054 20996\n59806 89767\n79854 100000\n84344 100000\n31924 47866\n52593 78947\n18619 27826\n16953 25323\n77865 100000\n87760 100000\n72651 100000\n76369 100000\n87169 100000\n18449 27576\n61547 92357\n38086 57158\n16353 24428\n89389 100000\n21098 31586\n16855 25180\n39073 58682\n85324 100000\n48782 73265\n50042 75160\n48907 73458\n926 1367\n2799 4168\n89970 100000\n71082 100000\n72727 100000\n14294 21355\n89584 100000\n51008 76603\n76557 100000\n38830 58315\n68255 100000\n12689 18966\n5268 7870\n99493 100000\n1097 1623\n48129 72297\n46388 69655\n44731 67171\n67977 100000\n53568 80395\n99274 100000\n61306 91995\n19780 29608\n20412 30573\n90909 100000\n7756 11562\n91695 100000\n76211 100000\n59881 89879\n83745 100000\n25881 38737\n3143 4676\n61653 92512\n93068 100000\n64482 96734\n11815 17651\n1631 2437\n25517 38198\n78137 100000\n20730 31043\n63093 94653\n68305 100000\n14257 21303\n90223 100000\n12449 18602\n65690 98520\n71033 100000\n9332 13921\n41541 62399\n33113 49678\n28488 42698\n22732 34027\n60344 90561\n36614 54946\n13961 20857\n71595 100000\n10678 15913\n73071 100000\n42306 63549\n60142 90269\n18648 27871\n45376 68128\n62818 94262\n85883 100000\n39384 59147\n32971 49462\n78417 100000\n48729 73187\n81503 100000\n46722 70165\n55562 83419\n61604 92439\n13938 20823\n72192 100000\n59998 90057\n44371 66636\n77799 100000\n42826 64326\n20570 30800\n20303 30405\n54334 81557\n90191 100000\n47761 71754\n83726 100000\n63033 94571\n26439 39585\n18451 27578\n99626 100000\n61538 92347\n93812 100000\n5695 8492\n64843 97275\n31447 47160\n88270 100000\n95415 100000\n55801 83784\n63130 94712\n64461 96701\n45501 68309\n62636 93994\n7911 11790\n27350 40965\n52192 78364\n64069 96114\n59238 88926\n23423 35061\n78284 100000\n28213 42271\n66722 100000\n99927 100000\n17727 26486\n33315 49984\n10491 15629\n37014 55552\n59549 89388\n59733 89659\n69908 100000\n99181 100000\n18370 27457\n24950 37354\n20684 30972\n34418 51634\n75390 100000\n32942 49423\n84546 100000\n41853 62859\n73766 100000\n10631 15840\n41559 62425\n74874 100000\n96830 100000\n73781 100000\n49042 73663\n4252 6344\n29930 44853\n85238 100000\n93716 100000\n17755 26522\n7346 10963\n98052 100000\n47175 70852\n21180 31710\n84798 100000\n61111 91711\n58149 87295\n21998 32937\n52014 78101\n97432 100000\n34789 52213\n74242 100000\n62129 93230\n49936 74998\n58630 88023\n6042 8992\n16800 25100\n16614 24817\n63521 95290\n63314 94981\n17215 25724\n3393 5043\n79057 100000\n22388 33526\n49831 74849\n42948 64513\n18289 27341\n26984 40413\n56633 85029\n99934 100000\n80763 100000\n56850 85361\n8289 12350\n87953 100000\n6672 9929\n3751 5594\n98329 100000\n59732 89658\n21242 31805\n29920 44836\n59085 88697\n31366 47036\n60917 91430\n89598 100000\n24856 37207\n18495 27644\n48481 72809\n79604 100000\n26115 39093\n80665 100000\n47391 71183\n50435 75749\n7030 10470\n76724 100000\n22742 34042\n31020 46514\n72690 100000\n88854 100000\n36713 55099\n88919 100000\n12170 18186\n16570 24754\n34719 52106\n80356 100000\n67604 100000\n69020 100000\n53896 80900\n50764 76250\n95558 100000\n31238 46841\n49596 74492\n82472 100000\n88923 100000\n55204 82856\n77105 100000\n66393 99565\n13124 19618\n10363 15447\n63412 95124\n33325 50002\n73920 100000\n90226 100000\n22840 34178\n23408 35036\n74809 100000\n75727 100000\n64158 96246\n46944 70494\n82520 100000\n30957 46425\n85000 100000\n76455 100000\n1596 2389\n45762 68711\n95866 100000\n33273 49916\n44702 67127\n61254 91913\n62476 93750\n35632 53474\n97040 100000\n23824 35657\n87815 100000\n13612 20343\n35598 53420\n57605 86480\n9638 14355\n63425 95141\n71271 100000\n59450 89243\n95879 100000\n68815 100000\n70961 100000\n65921 98868\n89841 100000\n66846 100000\n96465 100000\n71159 100000\n72197 100000\n18911 28277\n96094 100000\n7883 11751\n58103 87227\n74073 100000\n56680 85101\n11165 16662\n82334 100000\n81045 100000\n17584 26280\n25497 38169\n22708 33991\n22573 33791\n47017 70606\n97782 100000\n7485 11168\n49348 74121\n79365 100000\n36026 54079\n23415 35047\n63858 95801\n29998 44959\n54395 81647\n77164 100000\n58711 88151\n59876 89871\n933 1379\n31690 47524\n37112 55695\n15815 23632\n23504 35179\n71355 100000\n30123 45149\n34081 51131\n33899 50865\n90740 100000\n75931 100000\n36846 55304\n63294 94950\n46528 69869\n67358 100000\n61386 92112\n88257 100000\n62241 93405\n82757 100000\n94339 100000\n81184 100000\n14158 21157\n88807 100000\n10892 16249\n68079 100000\n48590 72971\n3301 4905\n15168 22648\n68339 100000\n85884 100000\n97349 100000\n77943 100000\n32073 48095\n386 565\n46569 69933\n67220 100000\n92348 100000\n5195 7763\n32226 48323\n11009 16432\n91677 100000\n20639 30907\n30881 46311\n29595 44349\n52055 78158\n42621 64020\n34568 51869\n80725 100000\n43880 65901\n99191 100000\n90122 100000\n99285 100000\n77590 100000\n72914 100000\n42721 64164\n22702 33983\n72152 100000\n27627 41391\n62942 94442\n37370 56080\n51157 76832\n76818 100000\n8386 12498\n446 650\n95651 100000\n57936 86975\n4079 6081\n40238 60412\n9482 14132\n15137 22599\n75937 100000\n87623 100000\n18810 28123\n65246 97868\n42462 63786\n49039 73659\n9887 14741\n34172 51268\n36944 55441\n22197 33240\n44713 67142\n24920 37307\n17438 26064\n46394 69664\n69305 100000\n22592 33822\n67482 100000\n33281 49930\n13251 19808\n48902 73451\n58058 87161\n53336 80056\n43179 64870\n9643 14363\n2170 3233\n6265 9325\n15257 22782\n50196 75385\n14772 22052\n21656 32427\n34937 52425\n30347 45506\n93687 100000\n12722 19023\n54452 81732\n74848 100000\n19245 28785\n39316 59042\n23629 35361\n21257 31825\n31831 47723\n49946 75012\n2886 4302\n69699 100000\n21308 31900\n48890 73431\n47307 71050\n93676 100000\n64381 96578\n47078 70701\n42944 64505\n46735 70183\n29046 43534\n91574 100000\n77897 100000\n15139 22601\n19361 28963\n90312 100000\n11204 16716\n64939 97415\n57213 85903\n72302 100000\n61247 91904\n95946 100000\n19976 29898\n11240 16772\n10337 15412\n16841 25159\n23798 35616\n46955 70512\n83167 100000\n94589 100000\n19172 28674\n44186 66360\n7389 11027\n11089 16553\n80229 100000\n179 258\n59335 89071\n33279 49926\n58834 88330\n89470 100000\n461 676\n58300 87524\n99176 100000\n92822 100000\n30868 46294\n40580 60938\n3370 5008\n71404 100000\n68527 100000\n53694 80589\n12335 18432\n59886 89887\n57257 85968\n58566 87925\n59465 89263\n86854 100000\n38067 57128\n62321 93526\n73813 100000\n8361 12460\n35477 53241\n79658 100000\n92310 100000\n86093 100000\n29948 44880\n20567 30796\n87924 100000\n18683 27921\n95344 100000\n65089 97644\n27604 41358\n89273 100000\n75576 100000\n99138 100000\n72771 100000\n83376 100000\n40763 61213\n6871 10228\n77205 100000\n6510 9696\n53134 79747\n69524 100000\n88859 100000\n9642 14362\n52765 79208\n30952 46420\n76857 100000\n58801 88279\n16227 24237\n25884 38742\n51987 78060\n55441 83228\n94128 100000\n97283 100000\n51301 77048\n34369 51557\n52858 79342\n78148 100000\n57160 85822\n44137 66285\n46026 69105\n8601 12817\n24657 36906\n31057 46565\n59628 89506\n50962 76537\n40090 60193\n55450 83242\n77203 100000\n8229 12268\n4881 7291\n83023 100000\n7492 11179\n74957 100000\n29239 43823\n30318 45460\n11677 17429\n48115 72275\n11123 16602\n60990 91530\n75319 100000\n83391 100000\n17877 26706\n81546 100000\n42875 64398\n51723 77671\n91514 100000\n55540 83384\n11436 17073\n85306 100000\n60482 90768\n249 362\n85857 100000\n71090 100000\n12089 18060\n85321 100000\n68843 100000\n36371 54592\n53819 80782\n23057 34496\n25970 38869\n84937 100000\n22127 33135\n93707 100000\n11036 16472\n71408 100000\n37283 55949\n165 233\n30646 45961\n90628 100000\n9060 13505\n90351 100000\n87584 100000\n60643 91010\n60016 90082\n21367 31983\n28692 42997\n21616 32366\n89498 100000\n8432 12563\n65606 98405\n55796 83778\n76997 100000\n89151 100000\n6449 9605\n88725 100000\n97632 100000\n76408 100000\n69178 100000\n63171 94769\n82079 100000\n89938 100000\n79212 100000\n97617 100000\n8827 13153\n38306 57506\n58610 87992\n88165 100000\n43623 65519\n20531 30742\n99105 100000\n92743 100000\n6034 8981\n79994 100000\n2214 3295\n34256 51391\n53946 80975\n44997 67563\n78196 100000\n62117 93213\n49232 73948\n72692 100000\n73579 100000\n74991 100000\n68168 100000\n61016 91569\n59411 89181\n24179 36183\n64105 96168\n92469 100000\n78490 100000\n76866 100000\n68826 100000\n12039 17983\n94982 100000\n63458 95192\n32204 48292\n75584 100000\n99224 100000\n80484 100000\n99655 100000\n24697 36971\n49230 73946\n38132 57233\n77927 100000\n47575 71463\n74658 100000\n55980 84049\n82422 100000\n77348 100000\n34684 52049\n55857 83872\n41477 62293\n20152 30167\n88629 100000\n4887 7301\n17593 26294\n56698 85129\n37679 56549\n87852 100000\n93480 100000\n19564 29274\n68174 100000\n1630 2435\n53869 80860\n38000 57027\n71699 100000\n8852 13191\n24367 36467\n13103 19587\n3240 4818\n32707 49059\n80044 100000\n89912 100000\n37944 56941\n89682 100000\n64128 96203\n47282 71020\n36374 54596\n71320 100000\n32792 49187\n3788 5653\n80256 100000\n21755 32573\n37445 56198\n17482 26133\n7766 11577\n12131 18127\n84309 100000\n37703 56581\n31003 46493\n25211 37742\n77022 100000\n6022 8966\n99091 100000\n90008 100000\n64127 96201\n8699 12969\n69811 100000\n98265 100000\n72573 100000\n98240 100000\n92532 100000\n28270 42353\n71868 100000\n7344 10961\n76370 100000\n85890 100000\n51896 77927\n19085 28536\n51257 76981\n93668 100000\n16823 25133\n82102 100000\n67468 100000\n99593 100000\n49486 74327\n54766 82206\n88103 100000\n55620 83510\n3793 5662\n21649 32416\n87063 100000\n47383 71171\n15097 22537\n80970 100000\n72891 100000\n30179 45236\n54975 82513\n26722 40011\n65661 98477\n55387 83146\n8231 12272\n62365 93589\n52070 78182\n73896 100000\n64803 97216\n78969 100000\n25590 38312\n19434 29073\n75072 100000\n91925 100000\n66421 99606\n79757 100000\n44396 66674\n51954 78012\n53992 81044\n11124 16603\n25413 38047\n34674 52034\n2401 3571\n1238 1845\n98292 100000\n67914 100000\n25409 38041\n5677 8463\n17739 26503\n29299 43911\n16402 24505\n76128 100000\n42366 63646\n18480 27621\n6215 9248\n62286 93474\n81920 100000\n17451 26084\n15800 23611\n90483 100000\n85423 100000\n21125 31628\n21997 32935\n2853 4251\n35906 53895\n11105 16575\n34615 51939\n46605 69986\n89085 100000\n82525 100000\n14825 22129\n92561 100000\n47065 70680\n90285 100000\n84695 100000\n73326 100000\n82339 100000\n57536 86379\n78836 100000\n56681 85102\n98123 100000\n34297 51452\n15638 23366\n96266 100000\n50033 75148\n31971 47940\n68497 100000\n20703 31001\n99762 100000\n61579 92404\n38713 58131\n25459 38115\n30223 45308\n99402 100000\n32200 48287\n60840 91310\n1613 2411\n7282 10861\n34468 51713\n74052 100000\n67116 100000\n69988 100000\n9258 13808\n4284 6395\n26829 40175\n74873 100000\n88571 100000\n77127 100000\n737 1088\n23401 35027\n42296 63532\n63460 95196\n21471 32151\n11338 16923\n58222 87403\n31788 47661\n54843 82317\n19037 28462\n34650 51994\n70255 100000\n15769 23564\n60434 90698\n93709 100000\n93049 100000\n66728 100000\n75690 100000\n50653 76084\n46517 69851\n50031 75145\n12800 19136\n29205 43772\n76546 100000\n79807 100000\n12529 18721\n51036 76643\n46060 69153\n39332 59065\n30885 46315\n26085 39044\n3103 4615\n88459 100000\n10330 15401\n22845 34185\n6596 9820\n59173 88828\n28408 42565\n56288 84508\n78151 100000\n18322 27388\n76767 100000\n17982 26870\n4934 7372\n14357 21445\n94551 100000\n98046 100000\n42011 63093\n5175 7734\n17737 26501\n28523 42750\n2095 3119\n92729 100000\n11585 17296\n79950 100000\n28546 42780\n42896 64430\n26342 39441\n48343 72605\n11340 16926\n86299 100000\n11664 17409\n30959 46428\n47668 71611\n97370 100000\n11873 17735\n84281 100000\n58135 87273\n12914 19297\n50613 76029\n10498 15640\n23345 34937\n8516 12692\n91298 100000\n88962 100000\n11849 17701\n52191 78362\n72993 100000\n73721 100000\n46211 69385\n16262 24289\n29382 44033\n7761 11569\n93796 100000\n61049 91622\n34436 51663\n31750 47609\n27229 40780\n92118 100000\n12782 19113\n31537 47297\n47914 71974\n50362 75635\n74255 100000\n66880 100000\n37768 56676\n8515 12690\n19586 29308\n93565 100000\n25834 38673\n22925 34303\n84743 100000\n87615 100000\n90321 100000\n28521 42746\n25894 38756\n15549 23227\n96397 100000\n17142 25613\n58621 88008\n75505 100000\n91280 100000\n44688 67105\n80728 100000\n38469 57750\n79625 100000\n4847 7236\n28008 41959\n50077 75217\n50574 75969\n61921 92919\n63744 95624\n19742 29552\n11785 17600\n93421 100000\n44285 66504\n9159 13656\n86888 100000\n83704 100000\n27221 40767\n63214 94833\n15965 23850\n55195 82842\n62005 93041\n5743 8559\n60901 91406\n62375 93602\n8749 13036\n20624 30883\n94105 100000\n11303 16869\n91013 100000\n70041 100000\n25451 38104\n50115 75271\n10544 15707\n47604 71513\n97292 100000\n58561 87918\n22481 33664\n90806 100000\n35536 53329\n68585 100000\n40301 60509\n26578 39796\n45714 68641\n46119 69246\n61265 91928\n14373 21468\n30129 45159\n3647 5435\n96439 100000\n14129 21111\n79982 100000\n87411 100000\n12906 19283\n33139 49719\n7541 11250\n79161 100000\n96823 100000\n24883 37250\n41850 62855\n50019 75127\n3228 4801\n54283 81480\n35912 53904\n82296 100000\n34439 51669\n63455 95187\n56899 85437\n36073 54154\n32951 49435\n48444 72754\n82217 100000\n2155 3211\n412 602\n26610 39843\n1923 2859\n5487 8181\n14604 21805\n14404 21514\n9518 14187\n86481 100000\n50871 76403\n71329 100000\n94408 100000\n14954 22318\n60545 90863\n56811 85296\n71051 100000\n76466 100000\n41415 62205\n26661 39922\n14412 21526\n40880 61392\n40344 60569\n69927 100000\n93617 100000\n11505 17177\n55135 82753\n60012 90077\n53691 80584\n73342 100000\n38798 58262\n67383 100000\n19670 29440\n59148 88792\n58036 87123\n7971 11881\n93466 100000\n48157 72335\n14783 22069\n42425 63737\n4770 7120\n55185 82826\n75115 100000\n22602 33835\n14699 21948\n43798 65776\n4452 6648\n68001 100000\n59500 89317\n25052 37506\n12664 18926\n70709 100000\n87213 100000\n92558 100000\n67594 100000\n82589 100000\n89157 100000\n27036 40493\n81579 100000\n6217 9250\n15201 22695\n77451 100000\n20242 30303\n56023 84112\n75983 100000\n76214 100000\n31525 47277\n41086 61708\n54722 82139\n89418 100000\n96420 100000\n25147 37646\n63753 95637\n52292 78506\n31883 47802\n36384 54609\n9123 13601\n6648 9893\n75479 100000\n53915 80928\n23402 35028\n9021 13448\n48065 72197\n47610 71523\n66621 99909\n18400 27503\n77551 100000\n32757 49134\n44089 66216\n64731 97112\n58850 88356\n81698 100000\n55366 83115\n47445 71259\n49719 74683\n7045 10496\n29390 44045\n13570 20277\n48997 73595\n26793 40123\n40983 61545\n28029 41989\n79487 100000\n25755 38555\n32024 48023\n51983 78054\n62323 93529\n69622 100000\n35148 52751\n10614 15818\n9521 14192\n47579 71470\n79929 100000\n67076 100000\n43314 65076\n46180 69335\n85797 100000\n11339 16924\n1191 1772\n52581 78930\n98220 100000\n63852 95791\n55699 83629\n45286 67997\n98968 100000\n84318 100000\n50766 76253\n91122 100000\n29181 43734\n56173 84332\n26358 39464\n90945 100000\n47374 71158\n98150 100000\n3187 4743\n45654 68550\n26749 40053\n56526 84868\n41923 62966\n32219 48312\n78292 100000\n28286 42378\n94919 100000\n57881 86892\n45177 67836\n49708 74665\n88305 100000\n52368 78618\n25341 37937\n18501 27653\n28875 43276\n72722 100000\n76559 100000\n22460 33634\n94250 100000\n48468 72788\n38945 58487\n5049 7547\n72981 100000\n27388 41021\n93864 100000\n29636 44412\n66080 99107\n91578 100000\n53008 79569\n73018 100000\n25471 38135\n90553 100000\n71012 100000\n36484 54754\n3391 5040\n43725 65667\n86595 100000\n66900 100000\n1253 1865\n46544 69894\n21677 32460\n84171 100000\n25966 38862\n53695 80590\n51731 77683\n37364 56071\n46023 69100\n14789 22078\n28867 43264\n55278 82976\n64674 97031\n88690 100000\n96244 100000\n30637 45947\n97975 100000\n48960 73537\n13320 19912\n35953 53964\n34480 51730\n71867 100000\n40745 61190\n61979 92999\n83999 100000\n88069 100000\n96031 100000\n82016 100000\n73380 100000\n93 128\n95676 100000\n96353 100000\n72213 100000\n40597 60964\n65070 97616\n62000 93032\n75786 100000\n81619 100000\n35877 53854\n91675 100000\n32751 49123\n94758 100000\n82558 100000\n99581 100000\n72261 100000\n83977 100000\n22724 34015\n21780 32607\n25610 38340\n8764 13058\n48545 72904\n77357 100000\n42353 63629\n13476 20141\n48470 72792\n22429 33591\n25241 37787\n43508 65352\n89099 100000\n54833 82304\n59828 89799\n10995 16411\n22800 34122\n68816 100000\n69780 100000\n72970 100000\n4701 7020\n35221 52861\n49582 74471\n97055 100000\n74395 100000\n60808 91262\n30343 45502\n23227 34761\n49682 74624\n6964 10371\n37006 55539\n70034 100000\n20292 30386\n4672 6974\n10923 16299\n9705 14461\n69083 100000\n94680 100000\n48440 72748\n73227 100000\n33467 50219\n45246 67939\n57299 86031\n2062 3064\n8261 12311\n25857 38706\n84799 100000\n2599 3873\n25433 38078\n24022 35951\n32694 49040\n7776 11591\n8940 13325\n79024 100000\n15308 22860\n55111 82722\n15101 22543\n24083 36036\n34135 51211\n65261 97891\n4788 7149\n20909 31314\n17300 25848\n85313 100000\n55750 83706\n91249 100000\n95499 100000\n50733 76198\n31611 47406\n62999 94523\n99425 100000\n92043 100000\n40434 60712\n84077 100000\n5125 7662\n49458 74290\n44074 66193\n40144 60271\n98303 100000\n64215 96330\n67565 100000\n23784 35596\n1521 2272\n38929 58465\n8664 12912\n72592 100000\n44627 67012\n24549 36738\n81696 100000\n24494 36655\n49399 74200\n64294 96448\n63307 94970\n21869 32744\n15948 23824\n7224 10770\n27247 40809\n86685 100000\n74239 100000\n49033 73650\n3533 5259\n59014 88594\n69664 100000\n45909 68930\n76054 100000\n125 173\n21748 32563\n64402 96607\n88547 100000\n37311 55986\n64312 96473\n87028 100000\n99129 100000\n68762 100000\n15498 23140\n51902 77937\n73803 100000\n29350 43984\n32331 48485\n37028 55570\n94566 100000\n16848 25169\n62290 93479\n89218 100000\n6724 10003\n70585 100000\n2675 3982\n82917 100000\n83845 100000\n40605 60977\n56970 85534\n26807 40141\n48380 72658\n26208 39234\n91775 100000\n61438 92191\n47488 71332\n21702 32498\n14850 22163\n10481 15615\n75943 100000\n81974 100000\n87351 100000\n11321 16896\n61639 92493\n4717 7040\n54602 81959\n66390 99562\n41062 61673\n45538 68361\n11380 16989\n23903 35771\n79678 100000\n21762 32584\n47988 72084\n39908 59925\n17467 26111\n89759 100000\n98359 100000\n92575 100000\n49085 73729\n51052 76668\n18790 28091\n93865 100000\n46913 70449\n52471 78764\n25877 38732\n18055 26978\n42923 64473\n965 1428\n80945 100000\n6745 10038\n47838 71863\n67900 100000\n43385 65178\n68006 100000\n19274 28831\n88950 100000\n84062 100000\n15702 23463\n45956 69001\n19824 29676\n24485 36642\n20954 31382\n45416 68193\n3456 5138\n40964 61516\n59506 89326\n45853 68843\n36085 54173\n89986 100000\n71365 100000\n3983 5942\n95930 100000\n29271 43867\n22639 33887\n54385 81632\n27301 40890\n6662 9914\n86920 100000\n68352 100000\n64651 96996\n29407 44067\n13458 20115\n66231 99326\n59538 89372\n26782 40105\n72259 100000\n1446 2155\n22224 33277\n88914 100000\n58491 87808\n77148 100000\n91867 100000\n97631 100000\n29937 44865\n6656 9904\n72623 100000\n58052 87150\n91205 100000\n63513 95277\n71296 100000\n15924 23789\n67226 100000\n87284 100000\n2838 4230\n96325 100000\n70251 100000\n71757 100000\n25991 38906\n67015 100000\n75713 100000\n59856 89840\n68528 100000\n89917 100000\n97819 100000\n57051 85655\n73141 100000\n27382 41012\n41175 61841\n30439 45644\n28760 43097\n64785 97190\n84620 100000\n8588 12796\n16265 24294\n12469 18632\n15908 23767\n89454 100000\n76056 100000\n85403 100000\n42747 64205\n32626 48935\n19591 29317\n90426 100000\n80265 100000\n81200 100000\n41985 63058\n39309 59033\n54241 81414\n63104 94667\n93801 100000\n87248 100000\n60831 91300\n24051 35993\n52743 79177\n81729 100000\n93301 100000\n50401 75695\n59243 88932\n65860 98778\n64554 96850\n98249 100000\n7420 11072\n86144 100000\n54571 81915\n97707 100000\n89946 100000\n31377 47055\n73237 100000\n64979 97479\n39981 60036\n28847 43236\n99584 100000\n54760 82198\n70672 100000\n4633 6917\n59458 89254\n9296 13868\n80942 100000\n46561 69920\n13835 20672\n77215 100000\n94895 100000\n29130 43655\n86026 100000\n8097 12071\n57042 85646\n14653 21884\n91874 100000\n11731 17514\n48528 72879\n53190 79829\n94070 100000\n31661 47485\n70622 100000\n33193 49804\n6712 9984\n92107 100000\n44149 66301\n28810 43176\n6186 9208\n59801 89759\n10527 15683\n66976 100000\n79098 100000\n82156 100000\n70127 100000\n81784 100000\n57595 86467\n95020 100000\n11459 17109\n21294 31883\n3108 4621\n90525 100000\n91314 100000\n12434 18578\n26329 39421\n76439 100000\n26762 40073\n12152 18162\n90631 100000\n98996 100000\n79069 100000\n23138 34621\n9656 14381\n5028 7514\n98901 100000\n59902 89909\n89807 100000\n63564 95352\n3176 4725\n65532 98298\n42137 63282\n20246 30309\n4414 6593\n44584 66945\n9930 14810\n94343 100000\n96522 100000\n3642 5426\n16076 24015\n89283 100000\n23185 34693\n58470 87773\n43705 65639\n63296 94954\n53018 79584\n41501 62332\n69328 100000\n45748 68690\n67317 100000\n63048 94592\n44438 66741\n64030 96060\n87594 100000\n14745 22014\n46513 69845\n57899 86919\n78650 100000\n96032 100000\n80071 100000\n21827 32680\n58207 87379\n14191 21205\n69712 100000\n7857 11709\n9544 14221\n99323 100000\n55983 84052\n26684 39955\n98725 100000\n63836 95769\n55363 83109\n73042 100000\n19500 29175\n67459 100000\n78069 100000\n97630 100000\n68705 100000\n35648 53496\n41748 62703\n65704 98542\n92178 100000\n9952 14842\n75035 100000\n67386 100000\n58548 87898\n47011 70597\n59256 88950\n42243 63452\n18879 28225\n30504 45744\n53176 79806\n9210 13731\n60295 90489\n92941 100000\n58570 87931\n43091 64726\n47780 71783\n77740 100000\n77888 100000\n96557 100000\n30907 46349\n6238 9283\n97918 100000\n12952 19355\n39409 59188\n15777 23576\n36147 54264\n39586 59455\n80286 100000\n45623 68501\n20549 30769\n88240 100000\n18319 27383\n27246 40807\n69139 100000\n98533 100000\n27785 41630\n21420 32069\n95386 100000\n92663 100000\n90489 100000\n50188 75374\n28417 42579\n10316 15381\n40924 61454\n19905 29792\n38032 57077\n16970 25346\n9139 13625\n63846 95783\n71374 100000\n18456 27584\n30151 45191\n58919 88457\n94614 100000\n47301 71043\n74692 100000\n24203 36222\n68760 100000\n88427 100000\n88693 100000\n22341 33453\n80291 100000\n80261 100000\n39372 59129\n46708 70143\n27395 41030\n30598 45886\n42205 63387\n74148 100000\n27707 41511\n1566 2343\n20112 30108\n506 750\n96365 100000\n35958 53972\n8763 13057\n82978 100000\n47040 70643\n782 1155\n18025 26933\n35664 53519\n96310 100000\n67873 100000\n95742 100000\n93970 100000\n28811 43178\n57931 86968\n98925 100000\n5809 8655\n2533 3772\n20643 30912\n70380 100000\n66009 99001\n42957 64527\n41425 62220\n80517 100000\n58641 88042\n6244 9293\n32138 48194\n10606 15804\n97131 100000\n10282 15327\n91401 100000\n30788 46173\n40185 60331\n50645 76074\n90621 100000\n32996 49502\n41573 62444\n86914 100000\n58749 88205\n37368 56076\n30329 45478\n97720 100000\n84381 100000\n75646 100000\n62393 93629\n90839 100000\n30899 46338\n17608 26319\n90482 100000\n79876 100000\n28544 42777\n51946 78000\n98377 100000\n64180 96276\n20662 30939\n89188 100000\n68360 100000\n54630 81999\n13073 19537\n74515 100000\n31672 47499\n61122 91729\n81663 100000\n3460 5144\n28661 42956\n78575 100000\n80867 100000\n93379 100000\n12050 18000\n30710 46055\n20524 30732\n74256 100000\n98480 100000\n86435 100000\n2723 4056\n13663 20418\n65217 97827\n52495 78800\n28042 42010\n5043 7537\n64604 96927\n44784 67250\n58204 87375\n24880 37245\n6481 9656\n54621 81985\n87630 100000\n9774 14575\n5981 8908\n60292 90485\n6950 10351\n35327 53019\n71784 100000\n47098 70730\n37689 56562\n5549 8272\n18801 28109\n91287 100000\n79268 100000\n73859 100000\n56238 84427\n11132 16613\n10778 16079\n97500 100000\n57633 86522\n60105 90212\n53683 80573\n94751 100000\n62726 94128\n25719 38505\n93187 100000\n60680 91063\n13206 19741\n59904 89913\n87622 100000\n30054 45042\n40259 60445\n11512 17189\n76218 100000\n16529 24693\n60413 90665\n46347 69595\n10237 15261\n81070 100000\n67458 100000\n28394 42543\n83636 100000\n55621 83512\n55915 83955\n74772 100000\n94172 100000\n56346 84599\n81727 100000\n86766 100000\n95846 100000\n39186 58851\n22125 33131\n91349 100000\n52044 78143\n47844 71871\n31770 47634\n80591 100000\n66867 100000\n62911 94399\n24459 36604\n42662 64078\n73810 100000\n50368 75644\n80352 100000\n80586 100000\n89416 100000\n79668 100000\n68096 100000\n86328 100000\n22998 34414\n56912 85455\n97754 100000\n15737 23513\n84856 100000\n32245 48353\n43860 65867\n81303 100000\n66257 99369\n28979 43436\n44390 66665\n89449 100000\n12242 18290\n91789 100000\n20964 31395\n83757 100000\n5116 7648\n23120 34595\n59942 89970\n32906 49369\n29429 44104\n53750 80672\n6290 9359\n38687 58091\n38948 58490\n313 456\n32137 48192\n43774 65740\n6752 10049\n88985 100000\n70400 100000\n55564 83421\n37449 56204\n96281 100000\n41945 62998\n27931 41850\n52020 78110\n76320 100000\n31728 47576\n2687 4002\n72181 100000\n23948 35838\n37598 56426\n57037 85638\n50468 75803\n73271 100000\n39600 59477\n81837 100000\n96861 100000\n21343 31948\n32648 48967\n11354 16949\n78563 100000\n75911 100000\n71950 100000\n32308 48449\n37176 55790\n78847 100000\n78044 100000\n83720 100000\n13643 20388\n228 331\n53623 80483\n61769 92684\n15202 22697\n29489 44189\n56213 84389\n94338 100000\n91341 100000\n24090 36047\n21706 32502\n61481 92258\n36402 54634\n94067 100000\n81848 100000\n42820 64316\n64120 96191\n41136 61782\n27475 41157\n43491 65327\n24062 36007\n9440 14077\n79543 100000\n775 1144\n22755 34063\n55603 83482\n29099 43611\n31771 47636\n63116 94686\n68500 100000\n65984 98958\n40173 60311\n33591 50404\n81788 100000\n4348 6493\n26324 39415\n60108 90216\n27053 40520\n42760 64225\n2922 4352\n66966 100000\n67339 100000\n11221 16742\n749 1106\n52922 79442\n80402 100000\n65401 98103\n84851 100000\n38991 58557\n33506 50273\n36519 54808\n21383 32010\n13064 19522\n808 1193\n69170 100000\n81684 100000\n70002 100000\n28568 42812\n44619 66999\n9590 14283\n2966 4414\n27213 40755\n89114 100000\n99254 100000\n35566 53377\n47796 71802\n26533 39729\n57378 86149\n55438 83224\n90112 100000\n5193 7760\n67727 100000\n25323 37908\n70307 100000\n20528 30739\n77892 100000\n63078 94633\n84698 100000\n2672 3977\n94249 100000\n45048 67646\n52355 78600\n84536 100000\n19919 29813\n31900 47829\n89534 100000\n17961 26839\n22019 32972\n14958 22324\n61165 91793\n62171 93296\n79515 100000\n89591 100000\n64836 97266\n46855 70365\n17603 26310\n38751 58187\n15175 22658\n15749 23531\n30749 46113\n65484 98227\n80611 100000\n98655 100000\n98704 100000\n2148 3201\n15263 22789\n80102 100000\n31221 46817\n11083 16545\n60345 90562\n42133 63277\n30448 45657\n5570 8301\n38676 58073\n17319 25875\n27570 41308\n81049 100000\n18145 27125\n90929 100000\n57829 86813\n31025 46521\n25589 38311\n67293 100000\n12807 19145\n87835 100000\n10534 15694\n82857 100000\n21450 32116\n73865 100000\n92488 100000\n73412 100000\n35615 53449\n31315 46959\n6801 10124\n8191 12214\n17505 26169\n29554 44283\n39406 59184\n47845 71872\n7233 10784\n94503 100000\n3597 5356\n51089 76726\n10890 16245\n45063 67667\n65678 98503\n1184 1762\n8832 13161\n82714 100000\n40887 61402\n33879 50836\n41814 62802\n39905 59922\n59396 89161\n94518 100000\n59784 89733\n36202 54347\n68635 100000\n20940 31360\n57669 86574\n13006 19438\n30277 45391\n56475 84791\n32827 49241\n66165 99227\n55909 83946\n53523 80332\n75256 100000\n96911 100000\n61197 91835\n67983 100000\n88133 100000\n42427 63740\n42824 64322\n39740 59681\n40751 61200\n23318 34892\n68120 100000\n25388 38008\n46483 69799\n66569 99831\n83266 100000\n21718 32519\n51633 77540\n96000 100000\n76069 100000\n27015 40462\n79018 100000\n37350 56044\n85930 100000\n38901 58424\n43540 65396\n36901 55380\n37622 56464\n84744 100000\n97339 100000\n86381 100000\n20936 31353\n16939 25302\n90297 100000\n50 73\n74975 100000\n61671 92541\n17960 26837\n13085 19561\n45049 67648\n98831 100000\n72661 100000\n14729 21987\n17812 26609\n41854 62861\n39500 59328\n24208 36228\n64076 96124\n47372 71156\n61701 92583\n83278 100000\n21220 31771\n18310 27371\n86539 100000\n23702 35472\n10947 16335\n5908 8800\n16893 25236\n91435 100000\n94507 100000\n2476 3681\n55418 83195\n83612 100000\n42795 64276\n4110 6133\n22410 33564\n5802 8646\n71620 100000\n69330 100000\n78192 100000\n20627 30888\n25852 38699\n24760 37062\n68975 100000\n58278 87490\n19390 29007\n80016 100000\n56111 84244\n75257 100000\n61416 92155\n3142 4675\n18057 26981\n78317 100000\n23494 35166\n39188 58854\n95796 100000\n52919 79436\n62801 94236\n53385 80130\n31465 47185\n67699 100000\n23005 34423\n87502 100000\n74613 100000\n22108 33107\n87170 100000\n83045 100000\n62596 93930\n73804 100000\n27336 40946\n92732 100000\n37948 56946\n75343 100000\n55072 82660\n43892 65918\n49250 73972\n3531 5257\n67270 100000\n85164 100000\n4377 6535\n68482 100000\n37770 56678\n72554 100000\n93896 100000\n13004 19435\n61236 91890\n38559 57891\n93267 100000\n84574 100000\n84112 100000\n40823 61304\n47034 70633\n25746 38543\n9116 13589\n90417 100000\n885 1302\n47910 71968\n523 775\n70070 100000\n79780 100000\n45605 68473\n14637 21859\n80232 100000\n8453 12595\n23004 34421\n12485 18654\n13272 19843\n82602 100000\n14924 22274\n74405 100000\n9998 14907\n63691 95545\n48840 73355\n84200 100000\n19813 29658\n70382 100000\n40518 60845\n76354 100000\n31251 46860\n30082 45084\n30379 45549\n33581 50387\n36549 54851\n65569 98351\n35468 53227\n64778 97178\n22983 34390\n24446 36582\n56772 85237\n73188 100000\n6711 9983\n4291 6405\n78627 100000\n16730 24992\n13372 19989\n12224 18266\n20905 31307\n53709 80611\n98757 100000\n71881 100000\n29575 44318\n65829 98730\n40130 60249\n7891 11763\n89464 100000\n80784 100000\n5635 8399\n45035 67625\n16377 24465\n75599 100000\n51974 78043\n37894 56863\n67434 100000\n43248 64975\n33634 50474\n33759 50658\n45763 68712\n76755 100000\n47992 72090\n4886 7300\n84225 100000\n59364 89112\n67441 100000\n99115 100000\n7488 11172\n64171 96263\n50896 76437\n29265 43858\n52727 79155\n74745 100000\n27027 40480\n41575 62447\n83199 100000\n53779 80720\n41448 62250\n2577 3836\n11914 17796\n78017 100000\n34958 52458\n78887 100000\n10864 16208\n32868 49314\n17732 26495\n40377 60623\n4450 6645\n43351 65132\n8929 13309\n30921 46369\n5498 8198\n34164 51257\n15511 23163\n96922 100000\n42409 63712\n77660 100000\n69040 100000\n73297 100000\n68772 100000\n61332 92034\n18053 26976\n98305 100000\n62274 93455\n50142 75310\n15728 23500\n80870 100000\n70155 100000\n44811 67289\n88135 100000\n76078 100000\n86079 100000\n40167 60303\n90810 100000\n44204 66384\n34174 51271\n8753 13042\n44695 67115\n88397 100000\n78735 100000\n44867 67370\n34217 51337\n81452 100000\n95437 100000\n50348 75616\n41904 62937\n43985 66064\n97877 100000\n60065 90155\n76113 100000\n79413 100000\n15877 23722\n59658 89552\n39095 58715\n23883 35741\n84809 100000\n94090 100000\n22922 34298\n12437 18582\n3173 4721\n29459 44145\n43484 65319\n40548 60890\n74032 100000\n96346 100000\n51818 77816\n64460 96699\n38489 57784\n39987 60042\n10561 15736\n183 263\n67216 100000\n18018 26923\n42844 64350\n72587 100000\n63457 95190\n48558 72925\n2219 3301\n61753 92660\n88024 100000\n59435 89220\n62291 93480\n73039 100000\n21310 31903\n61522 92323\n18263 27301\n95367 100000\n87650 100000\n62303 93498\n58776 88237\n65514 98272\n70435 100000\n96149 100000\n51775 77751\n34671 52028\n63902 95868\n83557 100000\n80461 100000\n37701 56578\n44587 66949\n16888 25230\n90333 100000\n88389 100000\n42181 63348\n61545 92355\n47661 71601\n31811 47694\n86993 100000\n58575 87937\n8853 13192\n67915 100000\n87803 100000\n9530 14204\n71274 100000\n9733 14505\n81825 100000\n630 924\n23011 34430\n77958 100000\n79274 100000\n81990 100000\n54518 81833\n33082 49633\n22347 33464\n89467 100000\n20772 31108\n18595 27793\n66716 100000\n58416 87697\n96705 100000\n83925 100000\n60691 91078\n31913 47849\n92778 100000\n97914 100000\n68580 100000\n41280 62000\n88143 100000\n47769 71766\n20105 30099\n26547 39752\n31187 46764\n18197 27198\n85986 100000\n71284 100000\n40791 61259\n84194 100000\n17874 26701\n75508 100000\n3596 5355\n53372 80111\n54093 81201\n33813 50737\n70878 100000\n19087 28539\n57112 85751\n26438 39583\n39306 59027\n25950 38838\n45669 68574\n879 1293\n88423 100000\n9576 14264\n12632 18879\n29158 43697\n43817 65805\n50942 76504\n55092 82689\n55198 82846\n79696 100000\n19913 29804\n47288 71027\n41349 62105\n92625 100000\n17986 26874\n40901 61423\n93591 100000\n12318 18405\n92536 100000\n31574 47353\n21740 32552\n50370 75647\n19451 29100\n62208 93352\n43928 65975\n97150 100000\n92005 100000\n51774 77749\n19628 29375\n60739 91153\n25575 38290\n14963 22330\n50471 75808\n15622 23344\n9949 14837\n35293 52966\n74007 100000\n88461 100000\n41145 61795\n23929 35808\n4843 7229\n43514 65358\n77017 100000\n38773 58220\n60385 90624\n70271 100000\n80647 100000\n44998 67564\n28150 42168\n67640 100000\n99346 100000\n19324 28909\n93837 100000\n33457 50202\n8273 12330\n45018 67598\n76387 100000\n5709 8511\n41928 62972\n44931 67462\n44845 67339\n71504 100000\n40955 61502\n28437 42613\n44620 67001\n20644 30914\n97546 100000\n23941 35825\n72484 100000\n96849 100000\n96546 100000\n69243 100000\n91189 100000\n48859 73383\n23898 35762\n19397 29016\n64464 96705\n14722 21980\n7246 10804\n34284 51431\n90370 100000\n74968 100000\n49233 73949\n85553 100000\n42922 64471\n22564 33779\n11548 17242\n8751 13038\n55898 83930\n23040 34472\n61251 91910\n8373 12480\n10618 15823\n85651 100000\n69668 100000\n4648 6940\n21995 32932\n12687 18964\n69423 100000\n10748 16032\n57767 86713\n61550 92361\n88580 100000\n2793 4161\n77272 100000\n91203 100000\n58206 87378\n56507 84836\n99018 100000\n3029 4505\n20635 30900\n93102 100000\n61993 93021\n91339 100000\n16748 25019\n55462 83263\n47147 70808\n72109 100000\n19983 29909\n33096 49653\n21035 31497\n63079 94634\n20680 30965\n90857 100000\n93664 100000\n73256 100000\n33362 50064\n38487 57781\n36926 55416\n78722 100000\n80141 100000\n12145 18148\n47998 72097\n94248 100000\n10111 15079\n7251 10812\n36211 54361\n68801 100000\n21977 32906\n6096 9066\n54133 81264\n68128 100000\n53466 80249\n11972 17879\n37965 56975\n13512 20192\n31301 46938\n36639 54986\n53106 79702\n72958 100000\n4661 6960\n48751 73222\n3320 4932\n26034 38970\n7195 10727\n89167 100000\n67562 100000\n19669 29439\n63342 95023\n96343 100000\n55235 82908\n40040 60121\n7204 10740\n42464 63789\n86858 100000\n34675 52035\n35107 52688\n85394 100000\n64230 96354\n50486 75831\n47412 71211\n45542 68367\n39513 59346\n60492 90784\n59559 89402\n86628 100000\n2424 3605\n82485 100000\n74800 100000\n32954 49440\n51040 76648\n68672 100000\n90917 100000\n54153 81291\n24376 36480\n63416 95130\n61136 91751\n57996 87066\n98349 100000\n67523 100000\n80670 100000\n23701 35470\n96107 100000\n55173 82809\n89103 100000\n60589 90933\n87610 100000\n47985 72080\n17405 26010\n96136 100000\n79156 100000\n94853 100000\n14890 22223\n62935 94431\n46930 70471\n57972 87027\n46320 69557\n52122 78257\n73164 100000\n77021 100000\n74548 100000\n19409 29034\n38790 58249\n73277 100000\n19425 29059\n8841 13175\n85092 100000\n91063 100000\n98225 100000\n84616 100000\n51528 77385\n37698 56574\n93878 100000\n34047 51087\n29994 44951\n60954 91481\n26108 39084\n16310 24361\n27612 41369\n58173 87328\n50110 75264\n37605 56438\n63797 95709\n33838 50776\n18199 27202\n98524 100000\n68986 100000\n21803 32643\n18568 27750\n20881 31273\n65905 98843\n98466 100000\n35698 53574\n32055 48068\n94628 100000\n99707 100000\n16912 25265\n8278 12336\n80135 100000\n42258 63474\n78574 100000\n58096 87218\n99418 100000\n72096 100000\n80273 100000\n30290 45414\n66322 99464\n10774 16073\n9616 14326\n66948 100000\n95230 100000\n37246 55899\n94498 100000\n33252 49885\n49133 73799\n36194 54336\n48684 73119\n7566 11293\n76327 100000\n82262 100000\n77576 100000\n92635 100000\n71845 100000\n30992 46476\n87914 100000\n17488 26142\n65952 98912\n1378 2055\n85395 100000\n76920 100000\n69639 100000\n85384 100000\n28234 42303\n91135 100000\n76808 100000\n42401 63700\n44360 66619\n26660 39921\n98816 100000\n77648 100000\n57138 85787\n57831 86816\n38271 57453\n67161 100000\n5517 8226\n35923 53918\n12075 18039\n42231 63431\n13479 20146\n3915 5839\n91998 100000\n38893 58414\n80010 100000\n70573 100000\n92409 100000\n618 905\n96598 100000\n29780 44631\n25299 37871\n96969 100000\n90637 100000\n60224 90391\n77485 100000\n74087 100000\n509 754\n41230 61925\n28831 43212\n64599 96919\n26882 40256\n93757 100000\n96340 100000\n22725 34017\n37706 56586\n41434 62232\n71561 100000\n12919 19304\n88593 100000\n55177 82814\n67414 100000\n43050 64668\n22976 34380\n81642 100000\n32370 48544\n60229 90397\n8391 12506\n45637 68523\n31648 47466\n28755 43089\n30488 45720\n22986 34394\n84474 100000\n9744 14523\n68742 100000\n47582 71475\n63728 95600\n39489 59315\n70076 100000\n83631 100000\n52891 79395\n86712 100000\n66116 99154\n49798 74801\n7711 11500\n60999 91542\n10861 16203\n78986 100000\n86801 100000\n39995 60055\n7589 11325\n26104 39076\n4058 6049\n96535 100000\n70552 100000\n85079 100000\n73630 100000\n88823 100000\n14546 21725\n6979 10394\n56210 84384\n30635 45945\n79253 100000\n7027 10465\n88350 100000\n26402 39533\n6159 9165\n21337 31938\n76292 100000\n21304 31896\n18031 26942\n29327 43953\n7256 10822\n98275 100000\n70144 100000\n697 1025\n93223 100000\n89608 100000\n52784 79233\n22571 33789\n82679 100000\n42124 63262\n19946 29852\n18227 27246\n92722 100000\n50812 76320\n56100 84229\n71730 100000\n45777 68735\n73704 100000\n98463 100000\n68652 100000\n1575 2358\n81665 100000\n4196 6267\n53782 80724\n21452 32119\n7398 11042\n57383 86156\n5906 8796\n94928 100000\n14713 21965\n82818 100000\n64440 96666\n10866 16211\n23334 34920\n25953 38843\n27659 41438\n85437 100000\n99986 100000\n26141 39131\n81810 100000\n99776 100000\n34607 51929\n32658 48983\n62207 93350\n8607 12826\n15145 22612\n37201 55828\n12360 18467\n64200 96305\n24177 36180\n70397 100000\n73157 100000\n37011 55546\n38873 58382\n53323 80036\n46891 70418\n56063 84176\n27500 41197\n52357 78603\n84529 100000\n61325 92024\n70771 100000\n52929 79453\n84208 100000\n14586 21779\n49681 74622\n95079 100000\n56555 84910\n69632 100000\n46915 70452\n8201 12229\n29886 44789\n15032 22438\n35283 52950\n22828 34163\n26574 39791\n19924 29820\n76935 100000\n71776 100000\n46393 69662\n1034 1529\n26543 39745\n17884 26718\n21799 32636\n29967 44907\n93064 100000\n84501 100000\n20729 31042\n79705 100000\n62078 93151\n15470 23100\n37305 55976\n71587 100000\n85283 100000\n12999 19428\n69442 100000\n81441 100000\n82271 100000\n65158 97740\n10042 14977\n62976 94489\n72139 100000\n51511 77361\n4446 6639\n14875 22201\n71122 100000\n42126 63266\n72985 100000\n86798 100000\n6321 9405\n14176 21183\n55356 83098\n95064 100000\n35087 52654\n89253 100000\n65612 98412\n2546 3790\n59105 88726\n25061 37519\n94912 100000\n96986 100000\n99575 100000\n60451 90724\n39133 58769\n22692 33966\n68346 100000\n16338 24406\n30657 45979\n67250 100000\n10351 15430\n3600 5361\n41782 62755\n77279 100000\n19244 28783\n3753 5598\n80097 100000\n62870 94340\n99083 100000\n43380 65170\n10403 15501\n75093 100000\n34854 52305\n49807 74816\n80657 100000\n92015 100000\n95735 100000\n73133 100000\n35683 53550\n40543 60884\n22368 33498\n69624 100000\n48337 72599\n14113 21085\n86550 100000\n9813 14626\n44725 67163\n56743 85190\n36640 54988\n2963 4409\n1647 2459\n51689 77622\n405 592\n30087 45092\n33558 50354\n39320 59048\n69387 100000\n47181 70860\n43072 64701\n57692 86609\n19636 29388\n97319 100000\n36806 55243\n46132 69266\n56243 84435\n11474 17131\n53504 80303\n86024 100000\n29791 44649\n60361 90586\n77684 100000\n92899 100000\n18861 28198\n37677 56545\n97704 100000\n45058 67659\n80255 100000\n57973 87029\n77066 100000\n56949 85506\n81681 100000\n47552 71430\n55926 83972\n71839 100000\n30671 46003\n62741 94149\n72935 100000\n59263 88962\n27643 41416\n62531 93830\n8889 13247\n32030 48032\n91110 100000\n4364 6513\n62884 94359\n82104 100000\n42439 63755\n7193 10725\n76975 100000\n18945 28327\n63072 94626\n77289 100000\n91169 100000\n28451 42636\n10780 16081\n47387 71176\n79121 100000\n38947 58489\n66793 100000\n23198 34711\n94734 100000\n12935 19327\n18809 28122\n90176 100000\n30975 46452\n12015 17946\n2683 3995\n32929 49405\n67044 100000\n74749 100000\n53507 80307\n19182 28689\n60683 91067\n48744 73211\n61731 92629\n26725 40016\n39656 59555\n63376 95071\n64006 96022\n79839 100000\n31764 47627\n14414 21530\n93328 100000\n22487 33671\n15868 23710\n11632 17365\n54587 81940\n50906 76452\n76122 100000\n25140 37635\n55369 83119\n1551 2320\n79544 100000\n31489 47222\n17705 26454\n34698 52071\n22994 34407\n60268 90452\n92706 100000\n70705 100000\n52126 78263\n8932 13315\n74149 100000\n16388 24481\n25456 38110\n70782 100000\n51862 77880\n74849 100000\n1874 2788\n92794 100000\n22771 34080\n29499 44202\n19342 28937\n2396 3561\n51779 77756\n28020 41977\n81523 100000\n49392 74191\n45309 68033\n127 177\n32507 48759\n240 347\n41042 61640\n95323 100000\n29931 44855\n45633 68518\n54643 82020\n96930 100000\n6836 10175\n7165 10679\n94028 100000\n43787 65757\n58341 87582\n9056 13499\n74455 100000\n13281 19857\n39484 59308\n96534 100000\n98802 100000\n86874 100000\n2230 3320\n62979 94492\n40892 61411\n15492 23132\n69796 100000\n96676 100000\n19202 28718\n45388 68148\n51143 76810\n87297 100000\n24908 37289\n75929 100000\n2305 3431\n49072 73710\n12109 18092\n84711 100000\n43804 65785\n74900 100000\n73988 100000\n28296 42392\n19132 28611\n17605 26313\n23650 35392\n51057 76675\n30673 46006\n78448 100000\n75790 100000\n55293 83000\n39808 59781\n61299 91984\n15167 22646\n99437 100000\n93588 100000\n29201 43766\n65345 98021\n72719 100000\n96639 100000\n2332 3467\n82972 100000\n38537 57863\n21845 32710\n66815 100000\n27956 41884\n94512 100000\n73730 100000\n40524 60855\n98583 100000\n43233 64952\n90142 100000\n81243 100000\n99696 100000\n21209 31753\n43773 65739\n80013 100000\n84980 100000\n45735 68670\n39618 59502\n10355 15435\n60890 91389\n39373 59130\n90215 100000\n47805 71814\n43120 64774\n85038 100000\n61539 92348\n97982 100000\n65287 97932\n81542 100000\n83485 100000\n17257 25782\n98374 100000\n37024 55565\n45612 68485\n58184 87344\n98744 100000\n59032 88621\n90569 100000\n59293 89008\n29793 44652\n33428 50159\n94192 100000\n21065 31540\n79357 100000\n96126 100000\n85048 100000\n59234 88919\n52560 78897\n59547 89385\n10347 15425\n49146 73817\n85911 100000\n20247 30311\n87276 100000\n36510 54792\n37899 56870\n86430 100000\n67881 100000\n5064 7571\n48734 73196\n49581 74470\n27555 41284\n40651 61047\n15249 22770\n72090 100000\n44799 67274\n23774 35580\n15598 23304\n90864 100000\n8378 12486\n72195 100000\n27066 40539\n91819 100000\n23660 35407\n5582 8319\n90280 100000\n75629 100000\n35481 53247\n36796 55226\n49595 74491\n54182 81332\n74696 100000\n3813 5693\n7932 11820\n62723 94124\n27932 41852\n70326 100000\n33162 49755\n29010 43479\n62655 94020\n99339 100000\n84730 100000\n12702 18987\n56966 85529\n12306 18386\n59308 89028\n63161 94757\n35859 53824\n15488 23126\n87926 100000\n57047 85651\n73311 100000\n91420 100000\n59208 88883\n31920 47859\n41872 62889\n72603 100000\n32642 48957\n55566 83423\n82831 100000\n20605 30851\n33921 50894\n8232 12274\n18099 27047\n78032 100000\n50190 75376\n50731 76196\n91396 100000\n36423 54668\n40511 60835\n68980 100000\n15723 23493\n95281 100000\n18324 27390\n87146 100000\n55024 82587\n16784 25078\n35507 53286\n92736 100000\n12673 18940\n55231 82901\n75354 100000\n46777 70246\n99935 100000\n32861 49300\n2458 3654\n97490 100000\n71723 100000\n32382 48565\n11607 17327\n13905 20776\n9489 14143\n18269 27311\n88553 100000\n50064 75196\n71146 100000\n56081 84204\n4600 6873\n45483 68283\n10845 16181\n93938 100000\n22575 33795\n34075 51121\n57216 85907\n92832 100000\n48369 72643\n65788 98669\n89447 100000\n66033 99040\n92700 100000\n55153 82782\n29838 44715\n26713 39997\n53439 80211\n35486 53256\n882 1298\n14237 21272\n54415 81677\n6065 9026\n12298 18372\n1786 2661\n65720 98568\n35563 53371\n25910 38779\n95445 100000\n63940 95925\n25260 37816\n33808 50730\n57967 87018\n56106 84237\n12742 19056\n90091 100000\n4872 7278\n86755 100000\n97391 100000\n44846 67340\n81573 100000\n91703 100000\n57571 86433\n27515 41222\n64705 97073\n15515 23170\n26901 40285\n10020 14940\n70900 100000\n18247 27275\n59522 89351\n79777 100000\n55858 83873\n24898 37273\n68809 100000\n36355 54570\n43690 65618\n70924 100000\n92169 100000\n70005 100000\n57277 85996\n48158 72337\n40720 61152\n98593 100000\n86890 100000\n66934 100000\n69119 100000\n56956 85517\n48267 72504\n18872 28214\n61561 92379\n96746 100000\n32377 48556\n29712 44530\n70578 100000\n54082 81183\n43126 64784\n15327 22886\n35495 53268\n16328 24389\n89623 100000\n107 146\n46958 70516\n10182 15178\n26476 39644\n68112 100000\n39958 59999\n8241 12286\n9785 14589\n99280 100000\n12984 19406\n82541 100000\n57598 86472\n14332 21411\n37040 55589\n49246 73966\n96554 100000\n112 154\n60822 91286\n30247 45344\n10305 15362\n78034 100000\n2126 3167\n45202 67873\n26986 40417\n34917 52393\n42260 63477\n48437 72743\n94701 100000\n45207 67880\n48335 72597\n32400 48592\n12190 18215\n80119 100000\n66061 99081\n90029 100000\n41798 62778\n19374 28987\n6019 8962\n77973 100000\n48936 73503\n37547 56352\n98661 100000\n59999 90059\n8299 12365\n35831 53783\n56855 85367\n33978 50976\n78727 100000\n25278 37842\n1091 1616\n68204 100000\n93586 100000\n61233 91884\n13711 20489\n61350 92061\n49662 74593\n49953 75022\n47482 71324\n65548 98321\n29093 43602\n15088 22523\n27888 41783\n79865 100000\n9725 14493\n4266 6367\n93477 100000\n61845 92798\n84260 100000\n59878 89874\n6246 9295\n6257 9312\n54826 82293\n15691 23447\n85036 100000\n3961 5912\n48378 72654\n77916 100000\n31295 46929\n1763 2626\n28375 42512\n33590 50403\n41561 62428\n13744 20538\n5127 7666\n80351 100000\n87875 100000\n60530 90839\n92339 100000\n54000 81056\n31943 47895\n47397 71190\n28991 43453\n75490 100000\n743 1097\n31506 47245\n53094 79683\n74165 100000\n66102 99137\n82802 100000\n25109 37591\n3220 4790\n97998 100000\n92306 100000\n62889 94366\n49454 74283\n57742 86678\n23565 35266\n8238 12282\n77599 100000\n55546 83393\n26786 40112\n58820 88310\n22132 33143\n35154 52761\n92397 100000\n13924 20803\n31740 47594\n9072 13524\n1529 2284\n76101 100000\n91880 100000\n27472 41152\n26460 39617\n8392 12507\n25349 37947\n2152 3207\n7638 11397\n10717 15980\n60952 91478\n60697 91088\n76805 100000\n27670 41455\n2233 3323\n79744 100000\n94126 100000\n18569 27751\n92686 100000\n56321 84560\n92078 100000\n55464 83265\n7667 11437\n70244 100000\n17628 26347\n38867 58374\n60863 91347\n67396 100000\n16690 24929\n51639 77550\n64422 96636\n41311 62050\n81099 100000\n104 141\n2600 3875\n88254 100000\n95726 100000\n43956 66017\n96151 100000\n86981 100000\n55956 84017\n75959 100000\n92918 100000\n3763 5612\n10567 15744\n38741 58169\n28588 42844\n40091 60194\n72051 100000\n73786 100000\n32390 48579\n9654 14378\n96472 100000\n72534 100000\n26273 39333\n59146 88788\n82547 100000\n3529 5255\n61650 92509\n39496 59323\n23857 35705\n19732 29537\n40549 60891\n54944 82469\n72298 100000\n90232 100000\n3629 5409\n81174 100000\n62270 93449\n55164 82799\n5351 7992\n61424 92168\n63364 95054\n78243 100000\n65425 98138\n79919 100000\n82600 100000\n93571 100000\n95632 100000\n20862 31243\n87108 100000\n80625 100000\n56053 84161\n47873 71914\n56345 84597\n29715 44533\n17341 25909\n47164 70834\n47261 70988\n64668 97020\n46780 70249\n93572 100000\n96336 100000\n89687 100000\n34902 52371\n29319 43942\n49411 74219\n5742 8557\n58978 88541\n623 914\n78085 100000\n45021 67602\n10445 15562\n78926 100000\n26229 39264\n68599 100000\n14279 21333\n69199 100000\n53497 80294\n16404 24508\n36467 54731\n93794 100000\n99170 100000\n14839 22148\n91601 100000\n12096 18071\n32373 48550\n8928 13308\n68976 100000\n20511 30713\n41555 62419\n73863 100000\n14838 22147\n40504 60823\n9313 13895\n75344 100000\n62504 93792\n38513 57822\n88566 100000\n66270 99387\n82639 100000\n57292 86019\n635 933\n49387 74183\n15643 23375\n59980 90032\n8005 11934\n13182 19703\n95833 100000\n33114 49679\n19717 29515\n12218 18258\n37492 56270\n31114 46654\n29724 44548\n10270 15309\n40654 61051\n53809 80768\n84942 100000\n95544 100000\n43337 65109\n19876 29749\n88651 100000\n64103 96165\n10069 15015\n28509 42727\n46062 69157\n75763 100000\n67348 100000\n26009 38937\n91721 100000\n48755 73227\n68481 100000\n198 286\n63433 95152\n17515 26181\n73281 100000\n16918 25272\n985 1456\n55388 83148\n61476 92253\n24872 37234\n56304 84533\n44605 66976\n39765 59719\n84613 100000\n77006 100000\n68851 100000\n22490 33675\n93679 100000\n74526 100000\n58579 87944\n988 1460\n50415 75718\n5060 7564\n99526 100000\n58794 88268\n17843 26651\n57839 86826\n41552 62415\n79095 100000\n16642 24858\n49973 75053\n66792 100000\n99495 100000\n96291 100000\n81244 100000\n50431 75743\n63452 95182\n83231 100000\n71700 100000\n29336 43965\n32345 48506\n28559 42799\n59749 89684\n77640 100000\n77392 100000\n51237 76952\n65195 97796\n52855 79338\n2335 3473\n69797 100000\n62528 93827\n11423 17051\n25403 38033\n37233 55879\n13047 19496\n76787 100000\n76374 100000\n91875 100000\n59132 88768\n11337 16922\n94979 100000\n1750 2608\n19295 28865\n21168 31693\n37300 55970\n49252 73975\n7187 10714\n57049 85653\n99915 100000\n98288 100000\n38588 57937\n87095 100000\n81781 100000\n67978 100000\n26910 40301\n30564 45832\n31709 47549\n85570 100000\n23741 35534\n23390 35009\n90657 100000\n74464 100000\n97810 100000\n44063 66176\n78326 100000\n4224 6304\n34856 52308\n33085 49637\n66250 99358\n23364 34968\n70355 100000\n73298 100000\n51303 77051\n37280 55946\n3444 5119\n91782 100000\n4774 7127\n54705 82114\n44600 66970\n28697 43003\n71573 100000\n61997 93028\n63309 94974\n59614 89485\n10502 15646\n4768 7118\n58353 87599\n49243 73963\n1278 1898\n15063 22486\n79504 100000\n97470 100000\n59562 89407\n86502 100000\n73919 100000\n94568 100000\n4357 6504\n52400 78664\n23895 35758\n39979 60033\n74540 100000\n60374 90607\n7178 10699\n29555 44285\n87578 100000\n90336 100000\n96784 100000\n74346 100000\n31089 46617\n43558 65421\n20437 30606\n650 956\n19260 28809\n39247 58933\n96205 100000\n1944 2887\n2322 3455\n86553 100000\n72925 100000\n79763 100000\n67436 100000\n21034 31496\n63786 95691\n81566 100000\n18064 26991\n94299 100000\n82943 100000\n36515 54801\n37567 56382\n43919 65961\n28419 42583\n31632 47441\n72450 100000\n17832 26637\n57483 86296\n90123 100000\n44949 67491\n48413 72706\n5497 8196\n53724 80633\n78124 100000\n16973 25352\n99594 100000\n69923 100000\n63188 94795\n78360 100000\n93849 100000\n42410 63713\n159 224\n88871 100000\n49413 74222\n33191 49801\n87633 100000\n34287 51436\n37664 56521\n53215 79871\n73928 100000\n73688 100000\n53851 80831\n42635 64042\n65385 98080\n75908 100000\n87008 100000\n71756 100000\n83620 100000\n85616 100000\n316 461\n96767 100000\n57245 85949\n92845 100000\n66574 99839\n36624 54962\n48649 73063\n14549 21730\n66616 99903\n24686 36955\n58573 87935\n57176 85850\n72872 100000\n54206 81366\n40757 61206\n29378 44028\n49433 74250\n14460 21596\n5982 8909\n98095 100000\n30540 45797\n91632 100000\n82030 100000\n92915 100000\n20305 30408\n25190 37714\n58013 87091\n44734 67176\n66736 100000\n98588 100000\n84367 100000\n53141 79757\n57739 86674\n21918 32817\n6091 9061\n75414 100000\n62720 94119\n57215 85906\n90720 100000\n35985 54015\n24660 36909\n94625 100000\n94693 100000\n52207 78385\n2978 4431\n20131 30136\n91837 100000\n57452 86250\n33209 49830\n17881 26712\n48538 72894\n88290 100000\n39837 59825\n49064 73697\n32771 49154\n56386 84663\n90566 100000\n10034 14964\n8353 12446\n94871 100000\n31542 47305\n13741 20534\n15778 23577\n10767 16061\n33674 50532\n44418 66710\n99836 100000\n82135 100000\n39102 58723\n4298 6417\n8636 12869\n79759 100000\n23274 34827\n83653 100000\n33445 50185\n37138 55735\n7984 11900\n14035 20969\n75010 100000\n24946 37348\n4507 6731\n83032 100000\n93415 100000\n99503 100000\n8890 13248\n57120 85762\n43180 64871\n87193 100000\n60408 90658\n38024 57066\n2884 4299\n7176 10697\n66345 99498\n7989 11910\n6609 9840\n80117 100000\n83661 100000\n47758 71749\n98718 100000\n63084 94641\n40836 61325\n49213 73919\n81309 100000\n85528 100000\n75977 100000\n9058 13503\n20553 30775\n95575 100000\n97519 100000\n55647 83550\n73572 100000\n91107 100000\n10256 15290\n66582 99853\n70387 100000\n70074 100000\n54831 82300\n3603 5366\n52851 79333\n6785 10101\n79546 100000\n86626 100000\n29902 44811\n39012 58588\n29943 44875\n64918 97387\n59526 89356\n62247 93413\n89592 100000\n47954 72032\n40426 60699\n49760 74741\n68944 100000\n37142 55741\n27971 41909\n98115 100000\n13328 19924\n10976 16383\n9675 14412\n23947 35836\n64689 97051\n86975 100000\n34332 51502\n10255 15288\n16145 24119\n46323 69562\n42982 64567\n67346 100000\n51751 77709\n67550 100000\n59368 89119\n65269 97903\n53943 80970\n89972 100000\n68668 100000\n6245 9294\n28671 42969\n64631 96968\n15092 22530\n28706 43016\n15671 23416\n84890 100000\n10782 16084\n36555 54859\n88369 100000\n19469 29129\n46671 70084\n23317 34890\n97575 100000\n30492 45725\n27259 40827\n93695 100000\n26494 39670\n46767 70231\n12600 18832\n53678 80564\n89471 100000\n95907 100000\n31455 47172\n45404 68173\n39598 59474\n83421 100000\n87575 100000\n72383 100000\n71406 100000\n79273 100000\n11587 17298\n73020 100000\n96292 100000\n85835 100000\n26705 39986\n24321 36398\n3754 5600\n36098 54192\n3501 5209\n34374 51565\n25984 38892\n14683 21928\n7066 10527\n2792 4159\n30294 45421\n65264 97896\n10880 16232\n68490 100000\n51684 77613\n19256 28802\n87605 100000\n24895 37268\n96369 100000\n81166 100000\n66563 99822\n5529 8242\n43479 65313\n90761 100000\n18768 28055\n47643 71573\n77304 100000\n63403 95109\n6894 10266\n59391 89155\n35613 53446\n88560 100000\n11323 16900\n55719 83661\n62588 93917\n77216 100000\n27205 40742\n97999 100000\n89743 100000\n20707 31006\n54993 82545\n48125 72292\n43418 65230\n40574 60929\n2638 3930\n97638 100000\n46872 70389\n85904 100000\n91847 100000\n58899 88427\n13755 20553\n39354 59102\n82119 100000\n97910 100000\n32311 48454\n82246 100000\n88935 100000\n5602 8348\n86264 100000\n38455 57731\n20260 30331\n9635 14350\n26404 39535\n54853 82332\n8004 11933\n72934 100000\n43933 65982\n58137 87277\n41302 62033\n19833 29687\n11537 17228\n48628 73029\n36986 55507\n16701 24949\n66039 99050\n90190 100000\n66564 99823\n38253 57425\n93912 100000\n56154 84303\n9845 14675\n46245 69438\n96056 100000\n19119 28593\n67778 100000\n77663 100000\n34655 52002\n39173 58831\n10093 15053\n18877 28222\n37254 55911\n8352 12444\n95803 100000\n96632 100000\n91997 100000\n3785 5649\n17455 26091\n92902 100000\n1607 2403\n6209 9241\n17570 26259\n19111 28580\n92002 100000\n36494 54768\n13131 19627\n74049 100000\n90550 100000\n2951 4391\n3842 5736\n71022 100000\n86978 100000\n12797 19133\n14687 21933\n58309 87535\n19176 28680\n60046 90128\n75939 100000\n56191 84357\n54163 81306\n49540 74406\n29423 44094\n82604 100000\n71743 100000\n63087 94644\n36393 54622\n54984 82530\n14968 22338\n51592 77479\n26082 39039\n6442 9592\n96979 100000\n487 720\n64916 97383\n97937 100000\n1337 1997\n29663 44458\n49991 75083\n24640 36877\n23417 35050\n50636 76062\n9932 14813\n47678 71628\n45564 68405\n6889 10260\n78762 100000\n98543 100000\n68170 100000\n8485 12643\n46012 69085\n60351 90572\n91529 100000\n58367 87619\n64630 96967\n34368 51555\n57371 86138\n94381 100000\n6287 9355\n87085 100000\n77403 100000\n57998 87070\n9158 13654\n92076 100000\n55826 83825\n88502 100000\n62161 93278\n28708 43020\n32231 48332\n74182 100000\n51644 77557\n88301 100000\n54582 81931\n32286 48413\n95050 100000\n54696 82099\n80754 100000\n64276 96425\n66364 99526\n54832 82302\n63947 95935\n34367 51553\n58186 87347\n58128 87264\n27781 41623\n36827 55275\n41729 62674\n95039 100000\n41350 62107\n58993 88566\n72871 100000\n77568 100000\n71298 100000\n87232 100000\n25915 38786\n11963 17867\n1549 2317\n88130 100000\n37955 56957\n79731 100000\n3139 4669\n96333 100000\n60520 90824\n1088 1611\n18707 27959\n12325 18415\n56010 84091\n99740 100000\n14385 21487\n11417 17042\n1593 2384\n81721 100000\n9668 14402\n21857 32729\n45563 68404\n98793 100000\n13838 20675\n3864 5767\n12090 18061\n20227 30277\n10302 15356\n83921 100000\n99625 100000\n79594 100000\n24861 37216\n58015 87093\n68840 100000\n64787 97193\n45828 68813\n11774 17582\n32842 49265\n36777 55197\n1147 1703\n59356 89102\n99465 100000\n65203 97807\n50167 75347\n76979 100000\n6337 9434\n94235 100000\n1095 1620\n98762 100000\n72665 100000\n95874 100000\n89479 100000\n44163 66322\n82678 100000\n40740 61182\n91158 100000\n28447 42629\n94747 100000\n31798 47673\n74008 100000\n54809 82271\n5587 8325\n83848 100000\n65915 98858\n25976 38879\n82974 100000\n63399 95105\n24489 36648\n39097 58717\n27533 41250\n329 482\n48142 72315\n94953 100000\n95359 100000\n69510 100000\n34981 52494\n99818 100000\n46971 70534\n36760 55172\n56264 84469\n11575 17283\n36092 54182\n14082 21037\n33708 50580\n17313 25865\n8912 13286\n29727 44552\n19281 28843\n95628 100000\n2900 4324\n56553 84907\n46156 69301\n38496 57794\n13609 20337\n41088 61711\n22239 33303\n67859 100000\n99967 100000\n95633 100000\n93387 100000\n62378 93606\n47220 70921\n22972 34372\n60386 90626\n79327 100000\n81439 100000\n71984 100000\n74622 100000\n94058 100000\n16493 24640\n70026 100000\n75304 100000\n96058 100000\n30631 45937\n23809 35635\n79939 100000\n1368 2041\n57757 86701\n13093 19570\n77206 100000\n49294 74039\n91139 100000\n97306 100000\n7679 11456\n41282 62003\n76763 100000\n73953 100000\n83628 100000\n68066 100000\n16539 24708\n35489 53260\n62654 94018\n72928 100000\n92707 100000\n64210 96322\n17829 26633\n10507 15654\n67164 100000\n11885 17752\n14488 21635\n15720 23489\n22260 33337\n50461 75790\n43031 64640\n95836 100000\n83546 100000\n73072 100000\n16521 24680\n30125 45152\n96254 100000\n39329 59061\n70675 100000\n45305 68028\n13713 20492\n75849 100000\n32237 48341\n4398 6568\n1720 2565\n46526 69866\n52363 78611\n62363 93585\n74145 100000\n87959 100000\n39392 59161\n74018 100000\n42659 64075\n86313 100000\n97217 100000\n82654 100000\n1076 1593\n73178 100000\n14409 21521\n23095 34554\n13844 20684\n65321 97984\n97468 100000\n99695 100000\n67363 100000\n75954 100000\n13785 20596\n4888 7302\n27713 41521\n48966 73547\n28989 43449\n42899 64435\n12032 17970\n27737 41560\n75730 100000\n47599 71506\n31975 47947\n46730 70176\n44971 67526\n94707 100000\n45132 67768\n68250 100000\n98619 100000\n83950 100000\n25102 37579\n78942 100000\n92080 100000\n60923 91438\n98775 100000\n37832 56770\n12969 19382\n44741 67188\n23 33\n79383 100000\n5623 8380\n21075 31553\n69977 100000\n72345 100000\n90718 100000\n71215 100000\n36718 55107\n84396 100000\n53203 79851\n54497 81802\n1355 2019\n7180 10702\n88973 100000\n93132 100000\n57480 86292\n40322 60538\n33169 49765\n77563 100000\n76019 100000\n42707 64143\n46952 70506\n89247 100000\n22849 34191\n52442 78725\n29311 43930\n4638 6924\n85850 100000\n48592 72973\n57005 85591\n80792 100000\n80617 100000\n53957 80992\n4698 7014\n70378 100000\n61275 91945\n51290 77031\n66453 99657\n52479 78775\n13827 20661\n53551 80373\n24231 36261\n9623 14335\n53774 80712\n5584 8322\n66971 100000\n52696 79108\n53266 79952\n38476 57763\n48869 73399\n23030 34459\n14298 21361\n2607 3885\n41902 62935\n612 895\n87431 100000\n59428 89208\n53894 80897\n44340 66588\n54848 82325\n70792 100000\n88662 100000\n51273 77004\n67422 100000\n66555 99809\n65636 98439\n12277 18339\n57541 86387\n88630 100000\n53662 80540\n95530 100000\n90535 100000\n11470 17126\n16886 25227\n62331 93539\n11566 17269\n72636 100000\n71072 100000\n28777 43125\n97044 100000\n76667 100000\n22703 33984\n25612 38343\n34652 51996\n34933 52417\n56693 85123\n69661 100000\n72358 100000\n17607 26317\n19736 29543\n6915 10298\n8804 13119\n41816 62806\n48827 73338\n19784 29616\n26228 39263\n21779 32606\n60651 91022\n65277 97914\n81999 100000\n91086 100000\n91930 100000\n24112 36077\n45213 67889\n85938 100000\n68702 100000\n5808 8653\n1897 2821\n96976 100000\n39723 59656\n65962 98926\n89684 100000\n84525 100000\n71584 100000\n36884 55355\n35521 53311\n4996 7467\n21840 32702\n62842 94297\n77041 100000\n21289 31876\n31019 46513\n74321 100000\n46417 69701\n78053 100000\n72426 100000\n53681 80570\n55199 82848\n24606 36824\n15353 22922\n18714 27970\n30691 46028\n89434 100000\n41698 62628\n89442 100000\n85237 100000\n25907 38775\n84417 100000\n1693 2525\n78273 100000\n85734 100000\n96807 100000\n7266 10836\n31655 47477\n65820 98718\n49981 75066\n28259 42338\n13011 19444\n274 400\n39138 58779\n39307 59029\n18078 27016\n17035 25445\n46956 70514\n6005 8944\n50789 76284\n85933 100000\n40493 60804\n33341 50028\n57390 86165\n24214 36236\n61394 92122\n23382 34998\n13928 20808\n36953 55454\n20634 30899\n64508 96775\n40602 60972\n51180 76864\n21951 32867\n31656 47478\n69042 100000\n756 1117\n67621 100000\n44829 67315\n68345 100000\n52143 78285\n35895 53880\n40946 61489\n42585 63967\n25043 37490\n68019 100000\n87642 100000\n93966 100000\n73170 100000\n16189 24184\n97024 100000\n93778 100000\n21018 31473\n29644 44425\n27073 40550\n63151 94742\n67542 100000\n11915 17797\n3857 5756\n12047 17996\n1505 2250\n37277 55942\n76350 100000\n1554 2324\n68675 100000\n77287 100000\n25479 38146\n70752 100000\n19986 29914\n86187 100000\n41247 61949\n82134 100000\n68989 100000\n74497 100000\n79151 100000\n76446 100000\n91727 100000\n28995 43458\n56586 84953\n27678 41467\n21758 32576\n15463 23089\n6751 10048\n47966 72053\n5056 7557\n51515 77367\n55840 83849\n4977 7436\n37728 56619\n50837 76355\n85828 100000\n56723 85164\n17424 26042\n38640 58016\n11597 17314\n79034 100000\n47283 71021\n42033 63126\n58121 87255\n30403 45589\n47660 71600\n51767 77736\n9259 13809\n54278 81473\n5578 8313\n7444 11108\n60626 90986\n84019 100000\n5969 8892\n20545 30763\n9723 14490\n82888 100000\n62113 93206\n65737 98596\n36233 54393\n796 1174\n58325 87559\n85085 100000\n56887 85417\n30128 45157\n26714 39999\n59357 89104\n54004 81061\n64500 96762\n19995 29928\n34008 51021\n89705 100000\n46886 70411\n98828 100000\n23620 35344\n78520 100000\n41783 62756\n87230 100000\n3923 5850\n6053 9009\n74423 100000\n99240 100000\n27421 41072\n50769 76257\n97677 100000\n15467 23095\n33284 49933\n33257 49893\n61410 92148\n32131 48183\n93036 100000\n98081 100000\n19730 29535\n62122 93220\n21549 32265\n35236 52883\n82992 100000\n69642 100000\n63967 95964\n77450 100000\n78524 100000\n1017 1502\n38634 58010\n65219 97830\n66930 100000\n87128 100000\n81715 100000\n77300 100000\n63311 94976\n88381 100000\n22093 33086\n6278 9342\n43984 66062\n29442 44120\n2100 3126\n89559 100000\n42821 64317\n58842 88342\n54124 81252\n60979 91514\n85188 100000\n67569 100000\n26711 39994\n75038 100000\n14118 21092\n65137 97714\n50938 76499\n48294 72538\n76702 100000\n23243 34785\n87120 100000\n66472 99686\n89857 100000\n69645 100000\n45785 68748\n1249 1860\n46158 69305\n43342 65118\n80862 100000\n53074 79657\n99149 100000\n48100 72250\n50130 75293\n83358 100000\n95538 100000\n87209 100000\n88507 100000\n81984 100000\n24897 37271\n17811 26607\n76333 100000\n87339 100000\n52473 78766\n27606 41360\n55054 82633\n32465 48692\n76103 100000\n75512 100000\n9337 13927\n2879 4291\n34471 51717\n78935 100000\n97376 100000\n35399 53122\n97404 100000\n2381 3540\n8519 12696\n87142 100000\n51134 76795\n83101 100000\n74471 100000\n27469 41147\n43271 65010\n21966 32889\n65889 98822\n66704 100000\n13539 20230\n30423 45619\n56022 84111\n63402 95108\n15013 22404\n54019 81084\n19241 28779\n59771 89712\n75062 100000\n74416 100000\n44591 66955\n23850 35696\n57271 85989\n70214 100000\n33684 50545\n62439 93690\n87571 100000\n50765 76251\n39741 59682\n30764 46135\n46939 70485\n62399 93637\n6545 9746\n40156 60288\n67344 100000\n87435 100000\n5576 8311\n33906 50875\n92824 100000\n58765 88226\n55114 82725\n24224 36249\n69431 100000\n29759 44600\n740 1094\n13527 20213\n34949 52443\n53506 80305\n51671 77594\n37924 56911\n54964 82498\n81469 100000\n91672 100000\n38494 57792\n41762 62722\n89425 100000\n88152 100000\n16111 24067\n55447 83236\n68433 100000\n20325 30442\n18503 27656\n23810 35637\n52276 78483\n36669 55034\n3766 5616\n97465 100000\n49186 73877\n27526 41239\n53798 80750\n52354 78599\n65919 98865\n41955 63014\n86439 100000\n58920 88459\n45696 68616\n31823 47713\n86382 100000\n18496 27646\n26511 39694\n26283 39347\n31956 47914\n61926 92926\n85065 100000\n30649 45964\n58156 87305\n74612 100000\n49415 74224\n87655 100000\n51038 76646\n15184 22673\n18016 26920\n29149 43682\n70861 100000\n7892 11764\n45089 67702\n28827 43205\n14400 21510\n8811 13131\n48640 73051\n68016 100000\n41050 61652\n71695 100000\n69270 100000\n41119 61759\n48414 72707\n96928 100000\n24559 36752\n43244 64968\n14961 22328\n51041 76650\n25803 38625\n13558 20257\n73727 100000\n31358 47023\n58236 87423\n47583 71477\n66121 99159\n95137 100000\n47962 72046\n94096 100000\n79988 100000\n84869 100000\n54746 82176\n71790 100000\n5845 8709\n54003 81059\n8448 12588\n29607 44368\n13999 20915\n90896 100000\n10895 16254\n56625 85015\n24984 37409\n23118 34591\n9157 13652\n60657 91031\n11267 16816\n26834 40184\n65067 97612\n34639 51979\n42606 64001\n82528 100000\n56491 84813\n31681 47513\n84490 100000\n73109 100000\n51175 76858\n10963 16363\n42759 64223\n38833 58318\n35785 53711\n73937 100000\n83047 100000\n70032 100000\n62968 94478\n19511 29194\n96953 100000\n96130 100000\n18632 27841\n63537 95313\n81983 100000\n49803 74809\n36982 55502\n56320 84559\n13506 20182\n53438 80209\n29159 43699\n30400 45584\n94084 100000\n93972 100000\n7326 10929\n71641 100000\n77284 100000\n22267 33349\n69300 100000\n33393 50107\n22894 34257\n23922 35797\n49886 74933\n48577 72952\n58696 88125\n25541 38237\n65913 98856\n50664 76103\n30570 45842\n41653 62562\n90476 100000\n88521 100000\n67933 100000\n57374 86143\n12139 18138\n74102 100000\n52458 78748\n59505 89325\n77998 100000\n9514 14181\n99839 100000\n84538 100000\n64418 96631\n41563 62430\n85262 100000\n79568 100000\n88206 100000\n99059 100000\n94086 100000\n78815 100000\n58948 88500\n66228 99322\n98010 100000\n32296 48428\n73360 100000\n85831 100000\n69564 100000\n83607 100000\n18789 28089\n98001 100000\n92270 100000\n84093 100000\n83816 100000\n81156 100000\n40779 61239\n64370 96560\n1075 1592\n63167 94764\n48493 72828\n49537 74401\n46529 69871\n74899 100000\n58516 87848\n80687 100000\n7048 10500\n81171 100000\n96368 100000\n93944 100000\n75043 100000\n28689 42992\n13146 19650\n66597 99876\n47674 71621\n58384 87648\n9601 14303\n87123 100000\n2482 3689\n16118 24077\n13487 20156\n37641 56488\n10484 15619\n87430 100000\n62238 93400\n63875 95828\n75078 100000\n6948 10347\n42452 63774\n84834 100000\n75269 100000\n21171 31698\n62725 94127\n60143 90270\n26376 39492\n73497 100000\n60301 90498\n59681 89583\n39693 59609\n75015 100000\n64734 97116\n49513 74370\n35244 52896\n42830 64333\n79914 100000\n91817 100000\n43936 65987\n67375 100000\n97949 100000\n56578 84942\n7151 10659\n91772 100000\n81954 100000\n4748 7089\n54570 81914\n49254 73978\n27210 40751\n34956 52456\n1855 2761\n66791 100000\n63071 94624\n82503 100000\n76339 100000\n65804 98693\n65361 98042\n66456 99662\n84095 100000\n36559 54864\n61435 92186\n82130 100000\n34350 51525\n92057 100000\n10449 15568\n97266 100000\n98029 100000\n30495 45730\n89766 100000\n89154 100000\n10422 15528\n12723 19024\n49043 73665\n80598 100000\n90314 100000\n93333 100000\n61895 92879\n24156 36148\n66911 100000\n46288 69505\n75339 100000\n53225 79887\n75872 100000\n2634 3924\n7482 11164\n38407 57660\n45433 68216\n60802 91255\n21674 32455\n37581 56403\n73036 100000\n88528 100000\n93554 100000\n52907 79416\n26810 40147\n34440 51671\n27127 40631\n38886 58404\n62788 94217\n75811 100000\n92761 100000\n29338 43968\n10322 15391\n34576 51882\n58231 87416\n4834 7218\n78604 100000\n21717 32518\n81771 100000\n63729 95601\n99480 100000\n3792 5660\n42634 64040\n46173 69325\n16424 24537\n29515 44225\n24578 36782\n87005 100000\n9846 14677\n2038 3027\n3981 5940\n77974 100000\n98011 100000\n6583 9801\n77782 100000\n62712 94105\n33929 50906\n61007 91555\n43429 65245\n35389 53105\n67404 100000\n98276 100000\n2354 3500\n69925 100000\n38849 58345\n97883 100000\n89968 100000\n16260 24286\n95224 100000\n70980 100000\n90925 100000\n12189 18214\n43043 64659\n47359 71135\n64253 96389\n95333 100000\n14866 22189\n15369 22950\n88505 100000\n78659 100000\n73814 100000\n50900 76442\n68392 100000\n56271 84480\n19697 29483\n3207 4769\n71510 100000\n71077 100000\n4829 7211\n42714 64154\n73472 100000\n70919 100000\n54506 81815\n18022 26929\n16149 24123\n30938 46398\n69861 100000\n78440 100000\n34834 52277\n19449 29096\n66809 100000\n1507 2253\n47947 72022\n68506 100000\n40392 60646\n53427 80190\n58115 87245\n63984 95989\n99 134\n96519 100000\n97556 100000\n41334 62083\n38566 57902\n5108 7636\n65513 98270\n40551 60895\n51090 76727\n11092 16558\n56373 84643\n80392 100000\n16125 24087\n10075 15025\n56671 85087\n73622 100000\n42755 64218\n27178 40706\n25789 38604\n40372 60615\n54260 81444\n49526 74386\n35316 53001\n17460 26099\n61027 91588\n37816 56748\n2467 3669\n27020 40470\n44681 67093\n75668 100000\n24444 36579\n74097 100000\n17996 26887\n20089 30075\n86191 100000\n87521 100000\n62677 94055\n80806 100000\n94205 100000\n96978 100000\n22604 33839\n77156 100000\n32720 49075\n90010 100000\n94163 100000\n62858 94323\n77226 100000\n80911 100000\n53200 79846\n67644 100000\n67860 100000\n66536 99779\n76882 100000\n83588 100000\n60976 91510\n34306 51465\n93555 100000\n85011 100000\n56976 85545\n63091 94649\n32999 49507\n85694 100000\n96813 100000\n65250 97874\n67098 100000\n88683 100000\n73660 100000\n77214 100000\n3115 4632\n17290 25833\n28964 43411\n55995 84069\n9409 14035\n53434 80202\n90914 100000\n12521 18710\n43251 64980\n44197 66376\n94478 100000\n29039 43523\n93558 100000\n58486 87799\n67381 100000\n32709 49061\n29770 44618\n37951 56950\n22659 33917\n8178 12194\n55737 83689\n41618 62510\n94777 100000\n13807 20628\n13843 20683\n9670 14405\n67075 100000\n44589 66952\n74389 100000\n81030 100000\n29578 44322\n65533 98300\n55565 83422\n49966 75043\n15242 22759\n3885 5796\n94918 100000\n37938 56933\n82038 100000\n27723 41536\n53047 79622\n96774 100000\n85419 100000\n11648 17387\n74783 100000\n98669 100000\n83683 100000\n80381 100000\n25618 38352\n11043 16482\n44498 66826\n19502 29179\n58719 88163\n59437 89223\n88759 100000\n99976 100000\n19959 29871\n21454 32123\n26073 39027\n42737 64187\n52447 78732\n8248 12296\n7773 11587\n66063 99083\n22761 34069\n14513 21670\n89135 100000\n99552 100000\n4445 6638\n3992 5953\n17441 26069\n50921 76472\n41154 61809\n64805 97219\n22545 33752\n12223 18265\n81607 100000\n70275 100000\n24974 37393\n56514 84847\n62292 93482\n44015 66106\n17265 25796\n7222 10768\n93689 100000\n3712 5536\n77834 100000\n79473 100000\n28036 42000\n33083 49634\n17246 25768\n68848 100000\n75063 100000\n95227 100000\n20046 30009\n96988 100000\n79741 100000\n56367 84632\n45574 68424\n19832 29686\n14482 21625\n30550 45812\n33106 49668\n48216 72426\n94069 100000\n93681 100000\n1352 2016\n7708 11496\n29671 44472\n12905 19282\n65455 98179\n84217 100000\n89650 100000\n15648 23384\n84993 100000\n11422 17050\n60623 90983\n11719 17496\n10404 15502\n44310 66541\n12112 18097\n26369 39482\n46980 70548\n17122 25578\n66171 99237\n88007 100000\n60752 91174\n6208 9239\n58023 87104\n2109 3140\n9096 13560\n8384 12496\n70220 100000\n29190 43748\n45890 68901\n18268 27310\n76748 100000\n80395 100000\n3650 5440\n30188 45253\n54612 81973\n91966 100000\n93478 100000\n16275 24309\n52612 78979\n57850 86845\n46540 69889\n46174 69327\n39137 58777\n59320 89045\n67894 100000\n37165 55774\n28015 41969\n5077 7591\n58048 87144\n19757 29573\n71412 100000\n73233 100000\n40741 61184\n54839 82312\n36933 55426\n42670 64089\n17929 26789\n43358 65140\n17491 26147\n55005 82561\n57988 87054\n76124 100000\n60748 91167\n36923 55413\n31593 47382\n51451 77277\n61656 92516\n38270 57452\n29981 44931\n1111 1646\n24705 36983\n7617 11365\n51406 77210\n18540 27710\n53186 79821\n24188 36196\n46452 69754\n84463 100000\n55307 83023\n14642 21867\n88147 100000\n67908 100000\n16082 24023\n96226 100000\n73573 100000\n57562 86419\n78459 100000\n97420 100000\n91588 100000\n10665 15893\n52492 78795\n67857 100000\n98079 100000\n63524 95294\n81691 100000\n42083 63197\n47559 71441\n71266 100000\n45480 68280\n87976 100000\n69944 100000\n70277 100000\n35281 52948\n80851 100000\n11496 17163\n98861 100000\n10320 15388\n20857 31235\n54135 81267\n33918 50890\n97750 100000\n46598 69973\n13051 19503\n22257 33332\n28436 42612\n36764 55176\n58817 88306\n52746 79181\n94616 100000\n69623 100000\n57777 86729\n69051 100000\n65398 98099\n91666 100000\n62945 94448\n48000 72101\n43618 65510\n13113 19600\n11591 17304\n26495 39672\n7524 11225\n99201 100000\n47033 70631\n64068 96112\n33754 50649\n5397 8058\n8649 12887\n48181 72372\n38587 57935\n96950 100000\n16469 24600\n33725 50603\n50411 75710\n84155 100000\n11681 17436\n6402 9529\n77068 100000\n90183 100000\n43217 64928\n99761 100000\n60859 91341\n97241 100000\n51521 77374\n2406 3579\n27536 41254\n11044 16484\n22811 34140\n69882 100000\n20817 31176\n78441 100000\n4954 7401\n88472 100000\n61079 91668\n38124 57218\n20571 30802\n63414 95126\n34293 51445\n1103 1633\n63959 95951\n49647 74567\n60797 91247\n33342 50030\n76794 100000\n34700 52074\n66665 99977\n61174 91806\n97447 100000\n7447 11112\n54406 81663\n64938 97413\n48269 72507\n76779 100000\n55436 83220\n10063 15004\n34780 52197\n30202 45275\n32471 48704\n89250 100000\n85446 100000\n40575 60930\n84106 100000\n87215 100000\n17475 26125\n50047 75167\n66128 99169\n5160 7712\n68924 100000\n78975 100000\n8382 12493\n40230 60401\n74216 100000\n86052 100000\n73421 100000\n62284 93470\n63917 95891\n50024 75136\n12830 19177\n51804 77796\n96123 100000\n59069 88675\n63756 95642\n47105 70742\n86509 100000\n36608 54936\n58790 88261\n80594 100000\n90446 100000\n61038 91606\n65357 98037\n28783 43135\n18013 26915\n95573 100000\n36069 54147\n59438 89225\n60523 90828\n99033 100000\n98201 100000\n29608 44370\n52465 78757\n6559 9769\n35614 53447\n22924 34302\n41859 62870\n16001 23906\n64 92\n50335 75595\n18678 27914\n34093 51148\n41558 62424\n18176 27169\n18388 27482\n26101 39071\n53431 80197\n93382 100000\n90084 100000\n71155 100000\n51900 77934\n65053 97592\n26074 39029\n96730 100000\n39168 58823\n88762 100000\n40621 61003\n19923 29819\n68845 100000\n67982 100000\n71143 100000\n8979 13385\n17486 26139\n66424 99612\n50306 75551\n7076 10542\n62651 94014\n75393 100000\n64017 96039\n36882 55351\n39818 59796\n5433 8111\n83249 100000\n90016 100000\n38732 58158\n11783 17596\n67728 100000\n56817 85305\n27211 40752\n79347 100000\n57529 86369\n85771 100000\n90656 100000\n84663 100000\n25149 37650\n60753 91175\n10199 15202\n11415 17040\n61283 91958\n10536 15697\n61344 92053\n15655 23394\n40550 60893\n46739 70188\n95722 100000\n74667 100000\n81652 100000\n9600 14301\n32247 48355\n23298 34863\n46116 69242\n93397 100000\n22621 33862\n26007 38934\n30891 46325\n47161 70829\n919 1356\n11741 17529\n74585 100000\n38064 57123\n58792 88264\n26415 39550\n39847 59840\n20391 30538\n9031 13462\n70370 100000\n36507 54787\n98410 100000\n50152 75325\n99617 100000\n48815 73321\n31150 46706\n75452 100000\n25903 38769\n82340 100000\n86231 100000\n61200 91839\n66117 99155\n12462 18622\n66066 99088\n79326 100000\n70276 100000\n24475 36629\n39038 58627\n31759 47621\n28023 41981\n56616 84999\n97757 100000\n83675 100000\n41909 62945\n59805 89766\n2377 3534\n8333 12416\n88625 100000\n75159 100000\n42262 63480\n7019 10454\n82042 100000\n77972 100000\n22364 33493\n92410 100000\n75008 100000\n14519 21681\n20957 31385\n24247 36284\n51020 76623\n2149 3203\n14330 21409\n6302 9377\n20693 30986\n4786 7145\n74557 100000\n82734 100000\n56728 85171\n37525 56317\n79659 100000\n51220 76926\n38520 57834\n99981 100000\n61594 92424\n75283 100000\n23435 35080\n74463 100000\n30904 46345\n33818 50743\n42460 63783\n47294 71033\n44019 66114\n19048 28479\n72912 100000\n18757 28040\n76677 100000\n50327 75585\n38355 57585\n40860 61360\n59360 89107\n48499 72839\n88363 100000\n51596 77486\n16050 23974\n81564 100000\n26717 40004\n22396 33538\n32593 48886\n66656 99964\n21426 32077\n66916 100000\n43472 65304\n35149 52752\n10935 16318\n13114 19601\n89048 100000\n95435 100000\n81576 100000\n91651 100000\n91660 100000\n94116 100000\n27524 41236\n58756 88213\n61295 91976\n33472 50226\n52251 78448\n53196 79839\n99317 100000\n64374 96567\n4913 7337\n33909 50878\n58612 87994\n82275 100000\n74426 100000\n40412 60674\n92593 100000\n39907 59924\n94996 100000\n1085 1605\n19563 29273\n47909 71967\n13668 20426\n44798 67272\n67196 100000\n67641 100000\n9764 14556\n10325 15394\n15953 23829\n32546 48812\n2664 3968\n96566 100000\n60367 90596\n35542 53337\n91080 100000\n88255 100000\n99395 100000\n86698 100000\n3737 5576\n18017 26921\n42132 63276\n77478 100000\n27387 41019\n48591 72972\n14231 21262\n15284 22825\n5172 7730\n77779 100000\n76315 100000\n71003 100000\n60063 90151\n5245 7834\n8665 12913\n70555 100000\n91882 100000\n59398 89164\n82342 100000\n84026 100000\n22227 33283\n29688 44495\n54317 81531\n92810 100000\n76087 100000\n41442 62242\n44508 66841\n14265 21313\n16025 23940\n5011 7492\n90593 100000\n54275 81468\n99371 100000\n23478 35143\n68248 100000\n70184 100000\n96062 100000\n87126 100000\n62936 94432\n98957 100000\n14611 21817\n76147 100000\n26437 39581\n1490 2225\n28695 43001\n322 470\n22641 33891\n66988 100000\n66447 99647\n74226 100000\n58016 87094\n88997 100000\n29452 44134\n2504 3725\n54071 81163\n78623 100000\n42334 63597\n18313 27375\n36765 55177\n71806 100000\n31848 47748\n11635 17369\n17242 25762\n19234 28770\n52860 79345\n35600 53423\n56634 85031\n88260 100000\n53124 79729\n392 573\n44103 66235\n88944 100000\n25739 38533\n85619 100000\n70450 100000\n15276 22811\n88473 100000\n88460 100000\n89779 100000\n76497 100000\n56017 84103\n14804 22103\n37562 56373\n69777 100000\n90247 100000\n19937 29838\n17380 25970\n21750 32566\n80258 100000\n63640 95466\n58140 87281\n43511 65355\n19582 29301\n19789 29624\n447 652\n25934 38817\n75758 100000\n75755 100000\n58391 87660\n29734 44562\n75749 100000\n46994 70572\n3373 5012\n62344 93557\n37628 56471\n27874 41762\n22899 34264\n82110 100000\n97454 100000\n78107 100000\n88850 100000\n37462 56224\n94022 100000\n73693 100000\n10696 15943\n65899 98836\n32435 48647\n96875 100000\n32009 48000\n96273 100000\n38820 58298\n14644 21870\n48089 72235\n87055 100000\n26323 39413\n54168 81312\n81799 100000\n59496 89312\n77995 100000\n35512 53295\n95706 100000\n97663 100000\n90825 100000\n62817 94261\n42535 63888\n701 1031\n15392 22985\n68172 100000\n93792 100000\n91469 100000\n82410 100000\n52507 78819\n53315 80024\n80382 100000\n97438 100000\n92744 100000\n15601 23309\n85587 100000\n319 466\n64045 96079\n76965 100000\n91807 100000\n16360 24437\n88285 100000\n82633 100000\n21397 32032\n17474 26123\n14766 22045\n82920 100000\n38742 58171\n90676 100000\n58111 87239\n91182 100000\n3865 5768\n38803 58272\n26392 39515\n33689 50552\n8488 12648\n30419 45613\n21329 31929\n96785 100000\n77176 100000\n66558 99813\n39873 59876\n2182 3251\n74662 100000\n2150 3205\n41126 61769\n30855 46274\n90762 100000\n5410 8078\n57566 86424\n76401 100000\n97382 100000\n57750 86689\n64592 96907\n94293 100000\n72482 100000\n52532 78858\n87604 100000\n89539 100000\n90842 100000\n58363 87614\n98556 100000\n96527 100000\n54504 81812\n46010 69082\n57321 86064\n89876 100000\n89481 100000\n21278 31860\n43329 65096\n25855 38704\n23886 35744\n50283 75513\n5899 8786\n20267 30343\n18976 28377\n91031 100000\n10397 15493\n93339 100000\n61865 92833\n82609 100000\n95731 100000\n60276 90463\n21528 32232\n21434 32090\n57980 87042\n20174 30198\n95972 100000\n83405 100000\n56311 84544\n207 302\n63243 94875\n19819 29667\n54961 82493\n76916 100000\n7933 11822\n48285 72527\n44661 67062\n35594 53414\n69596 100000\n78316 100000\n44617 66995\n91989 100000\n39899 59913\n47491 71337\n33355 50052\n31333 46986\n64913 97380\n52443 78727\n37788 56705\n38430 57696\n70209 100000\n75694 100000\n60010 90074\n90205 100000\n61020 91576\n9726 14495\n6646 9890\n72385 100000\n24021 35950\n20906 31309\n68634 100000\n4832 7216\n11686 17445\n7052 10507\n86696 100000\n77121 100000\n26524 39714\n96788 100000\n67069 100000\n90964 100000\n51868 77888\n45691 68608\n5412 8082\n95619 100000\n47662 71602\n212 310\n85955 100000\n23651 35393\n51337 77105\n53929 80950\n89074 100000\n19239 28777\n40137 60259\n44682 67095\n55351 83091\n95365 100000\n99673 100000\n6315 9397\n52294 78509\n66875 100000\n87773 100000\n80685 100000\n87882 100000\n71536 100000\n36691 55068\n90852 100000\n83933 100000\n65415 98125\n21100 31590\n69063 100000\n44733 67175\n92946 100000\n51648 77563\n64796 97204\n23736 35525\n40630 61020\n19623 29367\n45164 67812\n51248 76968\n47275 71010\n64970 97466\n29406 44065\n97792 100000\n24500 36665\n97765 100000\n79457 100000\n91084 100000\n9377 13985\n71887 100000\n78457 100000\n16483 24625\n42256 63471\n33437 50171\n58213 87389\n92081 100000\n28549 42785\n13052 19505\n28052 42022\n19071 28515\n59635 89516\n54301 81506\n82186 100000\n98883 100000\n64543 96834\n81851 100000\n4628 6911\n68229 100000\n99620 100000\n46712 70151\n90023 100000\n34635 51973\n26703 39984\n51174 76856\n34609 51932\n17776 26549\n80653 100000\n62580 93906\n16007 23916\n78580 100000\n94440 100000\n55323 83048\n53309 80017\n73897 100000\n17899 26740\n34272 51413\n8222 12258\n87219 100000\n43039 64652\n80664 100000\n60037 90115\n98965 100000\n69846 100000\n9082 13540\n51628 77532\n14664 21899\n78899 100000\n28613 42885\n33197 49810\n3308 4913\n14374 21469\n40082 60182\n15540 23210\n11771 17577\n64532 96814\n60963 91493\n24394 36506\n24088 36045\n89566 100000\n96683 100000\n50652 76083\n67797 100000\n65102 97661\n11879 17744\n68767 100000\n84018 100000\n60447 90718\n51043 76652\n13493 20164\n48607 72998\n11067 16518\n19096 28554\n94972 100000\n4734 7066\n8214 12248\n10967 16370\n72837 100000\n36848 55306\n22156 33178\n31439 47148\n60130 90253\n71949 100000\n40411 60672\n74147 100000\n16505 24657\n63517 95283\n65289 97936\n37452 56208\n30841 46252\n14748 22019\n508 752\n10682 15918\n88005 100000\n42511 63856\n9098 13563\n84178 100000\n52828 79300\n69627 100000\n81948 100000\n87303 100000\n49815 74827\n19714 29510\n64893 97350\n66500 99730\n65787 98668\n56885 85415\n46635 70029\n48061 72190\n80047 100000\n83523 100000\n49093 73741\n80649 100000\n7897 11771\n60490 90780\n90389 100000\n8342 12430\n69682 100000\n57142 85793\n50300 75542\n52926 79449\n61087 91678\n18137 27110\n89923 100000\n5730 8541\n77564 100000\n27641 41412\n84804 100000\n18262 27300\n10040 14974\n8388 12501\n59078 88688\n42672 64092\n55381 83137\n81043 100000\n27566 41302\n69225 100000\n50535 75912\n97613 100000\n96283 100000\n47097 70728\n36530 54824\n71639 100000\n80324 100000\n83570 100000\n60173 90318\n9793 14599\n67747 100000\n40375 60620\n80844 100000\n20865 31248\n40696 61118\n87179 100000\n12009 17936\n31147 46702\n36824 55270\n48446 72757\n69469 100000\n68471 100000\n52666 79060\n55400 83168\n79749 100000\n49949 75016\n20711 31013\n78639 100000\n46356 69611\n22522 33721\n21930 32837\n26640 39892\n14175 21182\n86013 100000\n53628 80490\n85786 100000\n23371 34981\n47651 71585\n54399 81652\n66898 100000\n7061 10520\n70975 100000\n94654 100000\n28656 42949\n56941 85496\n20443 30613\n64632 96969\n25014 37455\n83764 100000\n17348 25920\n34760 52168\n53489 80282\n26348 39451\n8297 12362\n33470 50222\n12074 18037\n91887 100000\n45807 68780\n30301 45431\n48989 73586\n47673 71620\n81192 100000\n36600 54924\n71465 100000\n30544 45803\n15474 23106\n31673 47501\n61910 92903\n63367 95058\n70545 100000\n51507 77356\n97515 100000\n17155 25633\n29570 44309\n37917 56898\n94183 100000\n23816 35647\n2183 3252\n49925 74985\n61133 91747\n57853 86850\n63727 95598\n5636 8401\n35848 53807\n43390 65188\n47612 71527\n161 227\n84749 100000\n8624 12850\n54658 82044\n88399 100000\n86761 100000\n87189 100000\n61042 91611\n43218 64929\n12065 18023\n15875 23718\n63892 95852\n55833 83838\n98302 100000\n9161 13658\n82534 100000\n43449 65276\n2173 3238\n78835 100000\n17129 25590\n4587 6856\n50779 76271\n71921 100000\n19643 29400\n94426 100000\n33953 50941\n17785 26565\n98808 100000\n48322 72578\n11450 17095\n70515 100000\n2538 3779\n75882 100000\n90363 100000\n37796 56719\n43196 64895\n69812 100000\n76086 100000\n49159 73835\n20822 31183\n32510 48763\n40978 61536\n89496 100000\n31553 47322\n6917 10302\n42257 63473\n49311 74065\n12371 18484\n90584 100000\n81937 100000\n42054 63153\n62665 94035\n17892 26730\n26270 39329\n34121 51191\n90156 100000\n15550 23228\n32196 48283\n69141 100000\n52552 78885\n33995 51003\n97395 100000\n30606 45899\n49463 74296\n17277 25816\n91202 100000\n54789 82237\n81728 100000\n78947 100000\n45979 69035\n69680 100000\n51575 77451\n43340 65114\n38895 58416\n47745 71727\n65022 97546\n44110 66245\n35446 53195\n48370 72644\n20575 30807\n38029 57072\n197 285\n57175 85849\n997 1472\n33307 49968\n2625 3912\n25532 38221\n97959 100000\n83041 100000\n3897 5813\n97778 100000\n3826 5713\n66104 99139\n73244 100000\n1032 1525\n38106 57188\n18588 27783\n86863 100000\n89308 100000\n64136 96213\n13046 19495\n34758 52166\n41109 61744\n99666 100000\n35977 54004\n70810 100000\n46889 70415\n24036 35971\n21382 32008\n32553 48824\n62807 94246\n75081 100000\n29444 44122\n21200 31740\n68576 100000\n8847 13184\n67163 100000\n31205 46792\n25699 38476\n18001 26895\n18623 27830\n45266 67968\n89919 100000\n62520 93816\n4344 6486\n79727 100000\n10909 16275\n8623 12849\n19744 29554\n1853 2758\n66785 100000\n12177 18194\n46786 70258\n18312 27374\n17817 26617\n63889 95847\n57479 86290\n57772 86721\n77966 100000\n55491 83304\n92695 100000\n86097 100000\n78367 100000\n40067 60160\n64090 96147\n5761 8582\n67147 100000\n65784 98664\n55364 83111\n33409 50130\n77086 100000\n2931 4366\n29854 44738\n10228 15247\n87032 100000\n69420 100000\n85230 100000\n16358 24435\n31401 47092\n51618 77520\n21514 32212\n80063 100000\n4855 7248\n56927 85475\n72132 100000\n24552 36742\n56192 84359\n1152 1712\n16591 24783\n35465 53222\n17057 25479\n6117 9098\n49066 73700\n88377 100000\n55593 83466\n11757 17554\n54080 81180\n8314 12387\n11475 17133\n10724 15993\n60994 91537\n16653 24875\n44447 66753\n48352 72618\n22459 33632\n30632 45939\n49081 73723\n26621 39860\n7171 10689\n96637 100000\n60257 90439\n46363 69621\n79395 100000\n44075 66195\n819 1208\n29222 43798\n78116 100000\n36148 54266\n95969 100000\n91599 100000\n19722 29524\n78143 100000\n62706 94097\n73410 100000\n87774 100000\n58340 87581\n68799 100000\n89006 100000\n29257 43848\n35445 53194\n96152 100000\n19356 28957\n81748 100000\n60872 91361\n38758 58198\n43408 65215\n46231 69416\n22006 32950\n69035 100000\n67211 100000\n48510 72854\n18885 28234\n99627 100000\n7459 11130\n39701 59622\n72663 100000\n22330 33440\n25938 38822\n37322 56002\n56237 84425\n77037 100000\n17196 25697\n14317 21389\n96108 100000\n30269 45379\n14363 21453\n62046 93107\n43475 65307\n49822 74838\n39351 59097\n18146 27127\n91559 100000\n12972 19387\n66454 99659\n65393 98091\n33667 50522\n94663 100000\n80432 100000\n48208 72414\n89413 100000\n49908 74960\n201 292\n24055 35998\n43551 65412\n85997 100000\n74349 100000\n52979 79529\n47131 70785\n31682 47514\n70559 100000\n66805 100000\n27505 41205\n22727 34020\n51095 76736\n66748 100000\n46811 70298\n17321 25877\n59644 89529\n41881 62902\n27902 41806\n53115 79716\n11211 16728\n12826 19172\n95338 100000\n91423 100000\n93914 100000\n71863 100000\n58669 88085\n47860 71895\n75059 100000\n54611 81972\n85503 100000\n66891 100000\n38363 57598\n60443 90712\n40035 60113\n97343 100000\n39709 59632\n18110 27066\n23725 35508\n22549 33758\n484 716\n1056 1564\n72737 100000\n97476 100000\n48912 73464\n18089 27033\n13873 20729\n43776 65743\n59974 90023\n96613 100000\n99227 100000\n58170 87323\n71303 100000\n90787 100000\n9151 13642\n3773 5628\n93729 100000\n72293 100000\n12488 18660\n1810 2694\n81267 100000\n76282 100000\n11715 17490\n25876 38730\n77314 100000\n74434 100000\n45580 68432\n58183 87343\n67018 100000\n41851 62856\n35564 53373\n21417 32064\n79438 100000\n21195 31733\n11388 17001\n62529 93828\n5297 7916\n11830 17672\n50184 75369\n73635 100000\n7719 11512\n22350 33470\n51653 77570\n50414 75716\n52659 79048\n93934 100000\n36654 55009\n68747 100000\n80190 100000\n79536 100000\n909 1341\n92370 100000\n96134 100000\n50197 75387\n28720 43039\n31741 47595\n28600 42864\n48697 73141\n54440 81713\n64770 97166\n53269 79955\n30842 46254\n75174 100000\n55810 83801\n55674 83594\n21783 32613\n74246 100000\n24786 37099\n59648 89535\n12725 19027\n51699 77636\n38193 57324\n60160 90300\n54340 81564\n78170 100000\n87619 100000\n82479 100000\n49321 74081\n73697 100000\n74095 100000\n20293 30388\n31135 46684\n92956 100000\n50926 76479\n80486 100000\n55061 82643\n53919 80933\n37998 57024\n33866 50819\n95434 100000\n57707 86631\n79467 100000\n42316 63568\n67304 100000\n31543 47306\n72303 100000\n99268 100000\n13685 20449\n66159 99218\n19302 28873\n30441 45647\n59444 89233\n79649 100000\n37652 56505\n29358 43996\n6318 9401\n43954 66013\n52745 79180\n76404 100000\n41687 62612\n15589 23291\n28487 42696\n4108 6129\n96570 100000\n70751 100000\n43572 65443\n65746 98611\n64538 96825\n24496 36658\n71304 100000\n85448 100000\n6339 9438\n96963 100000\n15422 23026\n57921 86952\n3043 4527\n74404 100000\n84726 100000\n77518 100000\n45196 67864\n80028 100000\n74130 100000\n98390 100000\n86404 100000\n23533 35221\n89789 100000\n15827 23652\n43149 64824\n20901 31302\n86958 100000\n85398 100000\n2054 3052\n87361 100000\n39849 59842\n23892 35754\n62459 93721\n87952 100000\n17222 25734\n88198 100000\n3445 5121\n10296 15348\n27502 41201\n91975 100000\n63213 94832\n70640 100000\n89647 100000\n4898 7319\n74142 100000\n43398 65200\n16006 23915\n52687 79093\n8746 13032\n35837 53791\n90776 100000\n52071 78184\n44856 67355\n67086 100000\n64401 96605\n54269 81458\n65026 97553\n34935 52421\n25447 38099\n80321 100000\n9283 13850\n25129 37621\n72401 100000\n86581 100000\n14199 21218\n88555 100000\n96095 100000\n84913 100000\n73508 100000\n99545 100000\n21492 32181\n60933 91450\n9172 13674\n25289 37857\n25311 37890\n78406 100000\n98290 100000\n78764 100000\n30142 45178\n98668 100000\n88072 100000\n87345 100000\n43012 64611\n41103 61735\n90948 100000\n11510 17186\n71421 100000\n95756 100000\n92025 100000\n47856 71890\n40794 61263\n79634 100000\n331 485\n6738 10027\n89897 100000\n28083 42071\n96797 100000\n37494 56273\n59025 88610\n77636 100000\n67867 100000\n91626 100000\n59509 89331\n86568 100000\n22222 33275\n91511 100000\n13803 20622\n39475 59292\n70569 100000\n19442 29085\n78223 100000\n80998 100000\n78309 100000\n42977 64558\n81884 100000\n30246 45342\n35171 52784\n24854 37204\n13847 20688\n3236 4812\n12147 18152\n74392 100000\n58688 88114\n4259 6358\n63368 95059\n90175 100000\n19837 29691\n41339 62091\n99771 100000\n16871 25204\n59612 89481\n16339 24407\n94431 100000\n48994 73592\n84236 100000\n22171 33200\n28944 43381\n79967 100000\n69582 100000\n63818 95742\n29840 44719\n20860 31239\n62814 94256\n48244 72467\n56411 84697\n84274 100000\n38797 58261\n61521 92322\n65403 98107\n98111 100000\n70974 100000\n71709 100000\n3610 5378\n16922 25276\n38167 57286\n17979 26866\n772 1140\n95826 100000\n12851 19206\n27476 41159\n40228 60397\n95330 100000\n94910 100000\n75518 100000\n32453 48675\n62266 93442\n47659 71598\n6237 9281\n31510 47252\n44346 66595\n55668 83583\n35352 53052\n79551 100000\n97703 100000\n2678 3988\n6176 9191\n40556 60902\n44869 67373\n95051 100000\n53069 79651\n43209 64917\n22726 34019\n75926 100000\n10076 15027\n57395 86173\n3446 5122\n42004 63082\n67616 100000\n945 1397\n84015 100000\n18550 27725\n92868 100000\n55194 82841\n3729 5563\n27983 41926\n98174 100000\n11703 17473\n74603 100000\n36448 54703\n42271 63494\n54249 81426\n15713 23479\n3709 5530\n24609 36828\n295 428\n78051 100000\n75799 100000\n36715 55103\n22520 33718\n33584 50393\n98988 100000\n57208 85897\n90971 100000\n18607 27809\n53820 80783\n10763 16055\n39529 59370\n17555 26235\n39430 59221\n94826 100000\n85062 100000\n80635 100000\n35778 53700\n59983 90035\n80412 100000\n38143 57249\n42978 64560\n57246 85950\n53560 80384\n69673 100000\n80419 100000\n78163 100000\n24017 35945\n38934 58471\n11028 16461\n93299 100000\n82841 100000\n75289 100000\n41264 61977\n31473 47196\n48276 72516\n24218 36242\n33905 50873\n21988 32922\n48735 73197\n24506 36674\n91260 100000\n4553 6808\n80718 100000\n10352 15431\n9914 14784\n86832 100000\n49456 74287\n39694 59610\n13861 20710\n51133 76794\n27292 40878\n50793 76291\n15075 22504\n63688 95542\n77659 100000\n45133 67770\n78728 100000\n43461 65291\n61253 91912\n9398 14019\n36239 54401\n45756 68702\n98096 100000\n76249 100000\n11244 16778\n80302 100000\n95158 100000\n84517 100000\n17454 26089\n53658 80534\n39317 59044\n49606 74509\n61778 92700\n76561 100000\n87661 100000\n70459 100000\n11764 17566\n53144 79762\n58936 88481\n38056 57110\n93388 100000\n65162 97745\n5494 8191\n10985 16394\n83347 100000\n90587 100000\n86536 100000\n60030 90104\n44952 67496\n67723 100000\n21214 31760\n53829 80798\n25290 37858\n6362 9470\n86927 100000\n66648 99952\n6542 9740\n94482 100000\n29023 43497\n47012 70598\n79418 100000\n61571 92392\n17845 26655\n36096 54189\n40343 60567\n98252 100000\n5960 8877\n99162 100000\n87493 100000\n57062 85672\n83119 100000\n91730 100000\n7843 11691\n18478 27617\n56566 84927\n14266 21314\n23224 34756\n21053 31524\n2085 3101\n16557 24734\n72286 100000\n97547 100000\n17632 26352\n12126 18118\n91255 100000\n7614 11360\n14752 22025\n45899 68915\n12829 19176\n90624 100000\n66376 99543\n1921 2856\n84012 100000\n5098 7621\n57892 86909\n87357 100000\n83677 100000\n52868 79358\n38720 58139\n10689 15930\n21850 32719\n39268 58966\n8174 12188\n79374 100000\n2045 3039\n63286 94937\n99809 100000\n28376 42513\n15551 23229\n96961 100000\n97502 100000\n89206 100000\n44260 66467\n23791 35605\n25501 38175\n46092 69204\n22852 34195\n58487 87801\n16254 24276\n71502 100000\n86544 100000\n58877 88391\n9583 14272\n22808 34135\n60675 91055\n37052 55606\n84446 100000\n82908 100000\n69721 100000\n70067 100000\n9374 13981\n78425 100000\n58234 87420\n60150 90283\n64740 97123\n4692 7004\n93641 100000\n1572 2353\n41776 62744\n82700 100000\n56357 84617\n67909 100000\n83414 100000\n7520 11219\n79443 100000\n12289 18359\n50771 76259\n61566 92386\n73802 100000\n96252 100000\n68636 100000\n47317 71066\n5611 8361\n86566 100000\n3692 5504\n34767 52180\n13720 20500\n70772 100000\n9821 14639\n1738 2590\n23357 34956\n22532 33735\n49491 74335\n94531 100000\n7869 11727\n96686 100000\n85981 100000\n13751 20548\n94549 100000\n38617 57982\n92491 100000\n13801 20619\n80477 100000\n80742 100000\n19510 29193\n27753 41583\n49299 74046\n40818 61297\n11117 16593\n71458 100000\n51733 77685\n73207 100000\n75581 100000\n67654 100000\n67852 100000\n71828 100000\n36684 55057\n90299 100000\n37708 56588\n97827 100000\n60197 90351\n77734 100000\n47020 70611\n88439 100000\n55781 83755\n72585 100000\n6247 9296\n63227 94851\n97166 100000\n76877 100000\n93078 100000\n55640 83539\n11032 16466\n42815 64306\n78957 100000\n58995 88569\n21523 32225\n30647 45962\n21309 31901\n76494 100000\n83141 100000\n68613 100000\n77152 100000\n85785 100000\n87249 100000\n49467 74300\n7013 10445\n75467 100000\n76891 100000\n89637 100000\n34764 52174\n8385 12497\n85240 100000\n58469 87772\n81901 100000\n13059 19514\n37001 55531\n69910 100000\n44047 66150\n52321 78549\n73578 100000\n62027 93076\n51627 77531\n99080 100000\n50120 75278\n98172 100000\n59289 89003\n15304 22854\n33996 51005\n93084 100000\n34349 51524\n25455 38109\n97345 100000\n68574 100000\n64415 96626\n86911 100000\n32903 49365\n54629 81998\n28976 43430\n73664 100000\n31894 47821\n81712 100000\n76777 100000\n35131 52725\n44852 67349\n13498 20171\n64684 97043\n54598 81954\n17376 25964\n28227 42292\n38154 57265\n33827 50758\n90114 100000\n7159 10670\n9339 13929\n99732 100000\n69187 100000\n7058 10514\n87352 100000\n26231 39267\n2998 4462\n19562 29272\n18763 28049\n44924 67451\n45291 68006\n51741 77696\n80807 100000\n30258 45361\n84209 100000\n80597 100000\n36736 55133\n20953 31380\n88334 100000\n4427 6610\n51476 77313\n13958 20853\n5860 8730\n40017 60087\n53101 79694\n76856 100000\n95153 100000\n60673 91052\n63337 95015\n78024 100000\n7985 11902\n42106 63235\n95294 100000\n19631 29379\n11521 17201\n28153 42172\n69079 100000\n58538 87882\n36772 55189\n72619 100000\n15011 22401\n74161 100000\n42313 63562\n69030 100000\n34636 51975\n49015 73623\n60269 90453\n26221 39253\n27156 40673\n93024 100000\n56195 84363\n44983 67542\n3611 5380\n29956 44892\n73825 100000\n71955 100000\n71330 100000\n61364 92078\n9923 14799\n89842 100000\n62562 93878\n58258 87460\n68501 100000\n38288 57477\n60713 91116\n72613 100000\n34288 51438\n20879 31270\n58351 87596\n8364 12464\n43263 64998\n50983 76566\n80069 100000\n93605 100000\n31267 46885\n9383 13993\n99013 100000\n33018 49536\n59201 88872\n6018 8961\n78146 100000\n32179 48256\n81447 100000\n24714 36996\n30553 45817\n79896 100000\n17980 26868\n94433 100000\n24374 36478\n94182 100000\n25236 37780\n22699 33978\n7432 11091\n47987 72082\n62081 93154\n65227 97842\n78933 100000\n24206 36226\n15387 22979\n75171 100000\n35354 53054\n26723 40013\n85525 100000\n74862 100000\n97353 100000\n2015 2991\n9347 13942\n37503 56286\n10950 16340\n36136 54248\n88679 100000\n96007 100000\n89693 100000\n67307 100000\n15903 23759\n22638 33886\n90201 100000\n60251 90429\n68116 100000\n86253 100000\n19801 29638\n54511 81822\n35385 53099\n33415 50139\n67491 100000\n76527 100000\n87921 100000\n858 1263\n86051 100000\n50910 76456\n8545 12731\n69726 100000\n94316 100000\n11877 17741\n39363 59115\n87586 100000\n91612 100000\n19136 28618\n31048 46553\n96858 100000\n45082 67693\n81741 100000\n10604 15802\n46858 70370\n55744 83697\n43707 65643\n47121 70769\n41627 62522\n95254 100000\n79419 100000\n35432 53173\n20791 31140\n3565 5307\n60941 91462\n76901 100000\n1227 1827\n51945 77999\n7636 11394\n97529 100000\n96760 100000\n54266 81454\n1200 1787\n89141 100000\n11206 16719\n72186 100000\n78387 100000\n6391 9513\n66755 100000\n53113 79712\n44839 67330\n18946 28329\n2668 3973\n85320 100000\n26083 39041\n18956 28345\n99259 100000\n33261 49899\n3971 5925\n34386 51586\n61360 92074\n54096 81206\n6382 9499\n11045 16486\n9976 14878\n90024 100000\n57756 86700\n13023 19463\n77190 100000\n9389 14003\n69242 100000\n77423 100000\n89179 100000\n22715 34003\n80246 100000\n59061 88666\n16124 24086\n29047 43536\n26218 39249\n17828 26632\n78796 100000\n22513 33706\n6740 10030\n26932 40333\n74325 100000\n10651 15871\n7167 10682\n2994 4456\n93776 100000\n34992 52511\n6625 9861\n7219 10764\n86983 100000\n9311 13892\n22636 33884\n94808 100000\n70289 100000\n9110 13582\n2232 3322\n53721 80628\n87555 100000\n34836 52280\n81264 100000\n87510 100000\n73785 100000\n17241 25761\n52107 78233\n88335 100000\n35003 52528\n94399 100000\n11579 17289\n8056 12011\n41597 62480\n92971 100000\n86099 100000\n47747 71730\n89239 100000\n11707 17478\n5233 7819\n21584 32317\n97456 100000\n77018 100000\n42412 63717\n61459 92227\n64670 97024\n81151 100000\n4210 6285\n82243 100000\n99567 100000\n80115 100000\n36336 54541\n52078 78191\n33062 49604\n78747 100000\n88721 100000\n34930 52413\n25183 37703\n62057 93122\n27744 41571\n22507 33698\n98077 100000\n58401 87675\n69647 100000\n16565 24746\n32691 49037\n2796 4164\n80729 100000\n44242 66440\n49793 74793\n55253 82935\n15552 23230\n7622 11371\n3882 5792\n76946 100000\n99335 100000\n75956 100000\n77683 100000\n24852 37201\n8925 13303\n60803 91256\n1492 2228\n39091 58710\n97804 100000\n54170 81315\n39831 59816\n29942 44873\n41591 62470\n32243 48350\n56568 84930\n28104 42100\n69104 100000\n77091 100000\n32820 49230\n30298 45427\n90086 100000\n27649 41425\n17862 26683\n13043 19492\n87895 100000\n75873 100000\n85134 100000\n31855 47758\n69213 100000\n58071 87181\n97279 100000\n60384 90622\n46579 69949\n49553 74425\n91362 100000\n91619 100000\n59314 89037\n30621 45922\n63872 95822\n86850 100000\n44231 66423\n20720 31028\n10996 16412\n10654 15875\n45223 67904\n90420 100000\n25193 37718\n50786 76280\n69533 100000\n67062 100000\n96258 100000\n3167 4713\n45981 69037\n34667 52022\n82162 100000\n55232 82902\n53143 79761\n69770 100000\n63085 94642\n96430 100000\n18708 27960\n74958 100000\n50526 75896\n87171 100000\n54566 81909\n8822 13147\n2755 4100\n24009 35930\n52434 78712\n23320 34896\n15399 22997\n83434 100000\n8271 12326\n58772 88233\n48935 73501\n49274 74009\n59715 89632\n34199 51311\n85049 100000\n99779 100000\n97474 100000\n93400 100000\n53895 80898\n98886 100000\n28135 42145\n11152 16643\n26691 39966\n85495 100000\n8734 13017\n14010 20932\n97099 100000\n64502 96765\n75738 100000\n60899 91402\n70819 100000\n71450 100000\n27880 41771\n21169 31695\n85887 100000\n15138 22600\n70971 100000\n70609 100000\n16827 25139\n20385 30528\n48578 72954\n61782 92705\n62063 93129\n98671 100000\n57944 86986\n45441 68228\n52121 78255\n27146 40658\n44782 67247\n39223 58898\n74735 100000\n32660 48986\n54719 82135\n32959 49447\n99135 100000\n2740 4081\n63623 95440\n84250 100000\n16349 24422\n19205 28723\n84621 100000\n49524 74383\n65836 98740\n7623 11373\n96873 100000\n39081 58693\n65982 98954\n5403 8066\n45492 68296\n9102 13570\n21723 32527\n75663 100000\n17267 25799\n64799 97209\n97758 100000\n12512 18696\n69816 100000\n22299 33393\n3467 5155\n77023 100000\n48351 72616\n46308 69538\n16952 25321\n6728 10010\n17742 26507\n55083 82676\n53337 80057\n25334 37925\n37390 56111\n48854 73378\n9300 13874\n14616 21825\n92403 100000\n4001 5969\n37089 55659\n47272 71005\n88724 100000\n97260 100000\n71522 100000\n8820 13145\n51162 76838\n12082 18049\n261 376\n99466 100000\n87006 100000\n59592 89456\n52295 78510\n57788 86746\n93203 100000\n4417 6597\n54930 82448\n70907 100000\n72481 100000\n88162 100000\n75298 100000\n45209 67883\n81981 100000\n84788 100000\n36634 54977\n75681 100000\n98168 100000\n10987 16397\n41836 62837\n98082 100000\n51967 78033\n78153 100000\n9469 14114\n76592 100000\n65296 97947\n4604 6878\n74031 100000\n58331 87569\n6474 9645\n29577 44321\n40807 61280\n39901 59916\n11828 17670\n97747 100000\n86227 100000\n58616 87999\n74992 100000\n46664 70072\n12897 19274\n14545 21724\n32824 49236\n74267 100000\n2052 3048\n38242 57408\n87245 100000\n13421 20062\n99137 100000\n70670 100000\n17752 26518\n75350 100000\n67359 100000\n29732 44559\n73144 100000\n42413 63718\n42876 64399\n25098 37572\n69212 100000\n57755 86698\n54495 81799\n73171 100000\n10339 15415\n16461 24588\n54982 82526\n67233 100000\n48546 72906\n13274 19846\n89386 100000\n63629 95450\n24280 36337\n86896 100000\n30832 46238\n10068 15013\n1204 1794\n94653 100000\n95677 100000\n54297 81502\n75313 100000\n60581 90919\n83058 100000\n3074 4571\n40474 60774\n80292 100000\n4505 6727\n59989 90045\n8892 13251\n9408 14033\n52300 78519\n33129 49703\n62561 93876\n3639 5422\n94083 100000\n35066 52623\n94353 100000\n11622 17350\n9214 13736\n53376 80119\n96656 100000\n36428 54674\n91589 100000\n69207 100000\n64824 97248\n94026 100000\n81856 100000\n44991 67553\n32805 49207\n68862 100000\n96926 100000\n71283 100000\n8454 12597\n12244 18293\n8358 12454\n59937 89963\n89023 100000\n52018 78106\n47701 71661\n56283 84500\n70051 100000\n51230 76942\n92873 100000\n50436 75750\n32613 48914\n57082 85701\n7643 11406\n24183 36188\n15861 23701\n67850 100000\n41167 61828\n30229 45317\n34484 51738\n99523 100000\n20979 31418\n37737 56632\n88154 100000\n10713 15973\n54221 81387\n57275 85994\n28958 43402\n40512 60836\n57949 86992\n73867 100000\n53001 79560\n5804 8648\n92318 100000\n41041 61638\n96104 100000\n24817 37146\n81214 100000\n9549 14226\n25770 38577\n67268 100000\n90379 100000\n55525 83355\n32256 48368\n57676 86584\n47200 70891\n52080 78194\n95388 100000\n68324 100000\n77489 100000\n81925 100000\n34252 51386\n13158 19667\n42157 63313\n70094 100000\n89639 100000\n84444 100000\n72738 100000\n74296 100000\n97653 100000\n84766 100000\n32319 48466\n1295 1929\n4246 6335\n74136 100000\n83080 100000\n41390 62167\n82008 100000\n98017 100000\n73390 100000\n24360 36457\n12537 18732\n9390 14005\n91899 100000\n91408 100000\n63097 94658\n69599 100000\n29632 44406\n98895 100000\n74962 100000\n47832 71854\n61800 92733\n43541 65397\n8799 13111\n31696 47532\n49985 75072\n90361 100000\n29315 43936\n91096 100000\n43111 64758\n12507 18689\n9212 13733\n62121 93219\n91670 100000\n99060 100000\n45836 68824\n95929 100000\n56831 85330\n16556 24732\n60630 90992\n83337 100000\n61284 91959\n12492 18666\n91223 100000\n64269 96415\n57350 86106\n94939 100000\n15425 23031\n4857 7252\n9921 14796\n31649 47467\n40212 60373\n40338 60559\n65596 98390\n88187 100000\n45611 68483\n65528 98291\n73048 100000\n69786 100000\n24814 37143\n36509 54790\n19560 29268\n19945 29850\n32466 48694\n49488 74331\n90910 100000\n47334 71094\n39190 58857\n40440 60719\n21815 32662\n84595 100000\n22087 33076\n92271 100000\n21441 32102\n7515 11212\n57947 86989\n39690 59606\n59037 88629\n13511 20191\n83511 100000\n26434 39577\n24147 36131\n65823 98723\n62437 93687\n95832 100000\n63098 94659\n16781 25074\n40261 60447\n86193 100000\n41429 62224\n16843 25162\n12100 18078\n62598 93933\n40475 60775\n60283 90472\n85160 100000\n41978 63048\n18747 28023\n6530 9727\n40613 60991\n37288 55956\n30130 45161\n3875 5782\n48847 73366\n9935 14817\n61324 92023\n12579 18799\n5067 7575\n46144 69282\n90498 100000\n35497 53271\n9593 14289\n97397 100000\n46361 69618\n2180 3248\n6987 10407\n35771 53688\n26071 39024\n1797 2674\n23283 34840\n12966 19378\n2660 3963\n43613 65503\n32225 48322\n21398 32034\n76643 100000\n20654 30929\n15440 23055\n25584 38303\n42050 63147\n18332 27403\n63812 95734\n35866 53834\n93629 100000\n51412 77218\n75745 100000\n97123 100000\n42512 63858\n19392 29010\n8577 12781\n7340 10954\n35022 52554\n1514 2263\n33968 50962\n22587 33814\n84961 100000\n5425 8100\n82598 100000\n31754 47615\n22164 33190\n94040 100000\n71028 100000\n75795 100000\n76957 100000\n69676 100000\n20577 30810\n30112 45132\n50427 75738\n80719 100000\n1167 1733\n32923 49397\n18134 27105\n97657 100000\n94142 100000\n73777 100000\n73610 100000\n7003 10430\n79916 100000\n46108 69229\n59276 88983\n64425 96640\n19818 29666\n44883 67393\n99663 100000\n80092 100000\n27985 41929\n21458 32128\n5346 7985\n83755 100000\n85794 100000\n41107 61741\n52031 78124\n20497 30690\n60587 90929\n5710 8512\n53577 80412\n70280 100000\n77337 100000\n56448 84754\n25356 37957\n59926 89948\n77522 100000\n26081 39038\n39327 59057\n75515 100000\n88027 100000\n4109 6131\n54227 81396\n7017 10450\n86936 100000\n47321 71073\n67712 100000\n75028 100000\n80061 100000\n16344 24415\n18147 27128\n87423 100000\n67799 100000\n28837 43220\n86505 100000\n25527 38215\n63108 94672\n68164 100000\n16806 25108\n96802 100000\n63939 95923\n34771 52185\n68988 100000\n64044 96078\n55676 83596\n37049 55602\n9301 13875\n66857 100000\n33126 49698\n36591 54909\n34103 51160\n13590 20306\n62143 93251\n96599 100000\n20163 30182\n61189 91825\n8921 13297\n15094 22533\n74619 100000\n33510 50279\n27357 40975\n77671 100000\n24970 37386\n73527 100000\n47224 70927\n60586 90927\n83731 100000\n26868 40236\n49733 74704\n18329 27398\n77708 100000\n32397 48589\n58774 88235\n238 345\n80708 100000\n56105 84235\n59997 90056\n46218 69396\n35836 53790\n60942 91463\n45687 68602\n17984 26872\n28510 42729\n70830 100000\n13394 20022\n77886 100000\n83874 100000\n2410 3584\n49412 74220\n78340 100000\n99790 100000\n4591 6861\n19966 29883\n30784 46167\n9270 13828\n20845 31215\n32181 48259\n48428 72727\n17560 26243\n6414 9546\n6522 9714\n87177 100000\n73397 100000\n49820 74834\n55705 83638\n61794 92725\n23932 35813\n92485 100000\n54220 81386\n99988 100000\n42074 63183\n57805 86778\n93766 100000\n99331 100000\n37612 56450\n56084 84208\n16988 25376\n11134 16616\n38137 57240\n39658 59558\n64657 97004\n89989 100000\n4379 6539\n40293 60497\n68284 100000\n83829 100000\n65621 98423\n16486 24629\n65479 98218\n5991 8922\n84704 100000\n354 520\n40433 60710\n11013 16439\n45897 68912\n87939 100000\n97888 100000\n34866 52320\n92866 100000\n3425 5089\n55614 83501\n96736 100000\n20504 30702\n28079 42066\n64804 97218\n20886 31279\n42347 63618\n67554 100000\n66351 99507\n64999 97510\n43960 66025\n63950 95938\n30459 45675\n33178 49780\n99293 100000\n98797 100000\n26248 39297\n66814 100000\n66482 99702\n60044 90125\n88858 100000\n23523 35206\n6784 10099\n90423 100000\n59867 89857\n71983 100000\n33981 50981\n95851 100000\n18777 28070\n56427 84721\n42097 63220\n62118 93215\n7253 10816\n24547 36735\n6566 9780\n88843 100000\n85656 100000\n88647 100000\n56594 84968\n86620 100000\n37857 56809\n65145 97724\n86654 100000\n13447 20099\n93973 100000\n54810 82272\n50207 75401\n69251 100000\n66163 99225\n64185 96283\n99194 100000\n76937 100000\n33616 50443\n76531 100000\n32647 48965\n76769 100000\n76160 100000\n43157 64835\n18845 28171\n13837 20674\n35346 53045\n98139 100000\n63687 95540\n77921 100000\n33637 50479\n7410 11061\n29960 44897\n53011 79574\n98698 100000\n83771 100000\n55771 83738\n77736 100000\n81216 100000\n4528 6768\n67378 100000\n55368 83118\n78021 100000\n48081 72222\n75286 100000\n5315 7940\n18869 28209\n15681 23431\n76586 100000\n22102 33099\n27967 41902\n14738 22003\n30169 45223\n97712 100000\n28383 42524\n29012 43483\n18916 28284\n78157 100000\n72471 100000\n45603 68470\n2539 3780\n12857 19215\n14497 21644\n82065 100000\n83668 100000\n11551 17247\n97874 100000\n20133 30139\n63012 94542\n27447 41113\n75481 100000\n49802 74808\n15298 22845\n85402 100000\n82303 100000\n16794 25091\n23683 35440\n98215 100000\n72700 100000\n77457 100000\n56368 84634\n83538 100000\n3809 5688\n34294 51447\n58671 88089\n63556 95340\n50258 75474\n98938 100000\n40188 60337\n20723 31032\n25418 38056\n72162 100000\n37100 55675\n908 1339\n9696 14448\n41344 62097\n53949 80980\n39265 58960\n98864 100000\n60266 90449\n80819 100000\n87928 100000\n20459 30636\n50543 75926\n4429 6613\n48242 72465\n80087 100000\n3918 5843\n80132 100000\n33469 50221\n45813 68790\n1902 2828\n92585 100000\n42647 64059\n27685 41478\n23436 35082\n72161 100000\n55055 82634\n27444 41110\n96564 100000\n30704 46046\n52635 79017\n14388 21490\n82716 100000\n80981 100000\n24505 36673\n63503 95263\n61469 92243\n60512 90810\n18770 28058\n66544 99792\n55876 83898\n34110 51173\n19554 29260\n90121 100000\n45281 67990\n14212 21237\n27928 41846\n29053 43547\n36392 54620\n45741 68680\n23256 34803\n50319 75571\n30155 45199\n59824 89793\n78259 100000\n11776 17584\n66383 99553\n15960 23843\n91035 100000\n26250 39300\n49120 73778\n45040 67634\n54214 81377\n51155 76830\n87469 100000\n51802 77794\n31098 46629\n50477 75816\n37440 56191\n17239 25759\n57681 86592\n3859 5760\n46790 70264\n60441 90710\n64026 96053\n39139 58780\n94199 100000\n36319 54515\n80463 100000\n92833 100000\n44927 67456\n14221 21250\n62271 93451\n93451 100000\n21137 31647\n56788 85260\n68216 100000\n95895 100000\n54176 81324\n95430 100000\n47280 71016\n74299 100000\n18254 27285\n42847 64354\n765 1129\n2576 3834\n58735 88186\n48656 73076\n95622 100000\n7005 10432\n85096 100000\n11398 17015\n61683 92559\n20915 31321\n99542 100000\n21853 32723\n79257 100000\n14682 21927\n33625 50459\n76252 100000\n91151 100000\n87402 100000\n89458 100000\n33562 50360\n79372 100000\n86058 100000\n54042 81117\n62177 93305\n67731 100000\n10884 16238\n91911 100000\n25586 38307\n28702 43010\n15586 23286\n63434 95153\n83286 100000\n91317 100000\n54958 82489\n10470 15599\n50287 75521\n99042 100000\n78721 100000\n69976 100000\n4901 7322\n87280 100000\n72640 100000\n79317 100000\n92252 100000\n80209 100000\n21089 31574\n70270 100000\n85874 100000\n75693 100000\n63704 95563\n53037 79609\n22391 33532\n81512 100000\n71016 100000\n8851 13190\n39396 59168\n24476 36630\n73892 100000\n30836 46245\n60915 91428\n30297 45426\n14369 21461\n81803 100000\n31715 47558\n27194 40726\n38972 58530\n31619 47419\n33951 50938\n85020 100000\n98728 100000\n74071 100000\n89603 100000\n67601 100000\n97650 100000\n79740 100000\n98253 100000\n82966 100000\n16064 23997\n1881 2799\n79578 100000\n35121 52710\n9613 14321\n20738 31058\n27798 41648\n32681 49019\n30219 45302\n61225 91874\n59674 89573\n69551 100000\n29884 44786\n99529 100000\n3424 5087\n35321 53007\n91901 100000\n1151 1711\n90216 100000\n3452 5131\n45594 68455\n49035 73653\n63184 94790\n51608 77506\n24962 37374\n49984 75071\n64173 96265\n33450 50192\n95028 100000\n77315 100000\n74041 100000\n63431 95150\n33433 50165\n62458 93720\n12134 18132\n97116 100000\n49189 73881\n50364 75637\n34595 51913\n33769 50676\n59229 88913\n72294 100000\n72570 100000\n91941 100000\n74876 100000\n22439 33605\n73452 100000\n1457 2171\n84909 100000\n95881 100000\n9496 14155\n80031 100000\n62857 94321\n20184 30213\n38356 57587\n42939 64498\n485 717\n54535 81859\n17147 25622\n20659 30936\n15477 23112\n84008 100000\n66637 99933\n80226 100000\n74176 100000\n90805 100000\n16311 24362\n35205 52837\n83355 100000\n72160 100000\n56441 84742\n75680 100000\n36411 54650\n48979 73569\n21206 31748\n37105 55683\n81398 100000\n98494 100000\n69289 100000\n11714 17489\n91485 100000\n80249 100000\n28093 42084\n95223 100000\n63781 95683\n97235 100000\n56857 85370\n54548 81882\n73775 100000\n63886 95842\n16618 24822\n37907 56880\n82169 100000\n97361 100000\n51378 77166\n26823 40163\n48602 72990\n12861 19222\n34426 51646\n60785 91227\n83178 100000\n87775 100000\n17644 26369\n66534 99777\n20466 30644\n83560 100000\n4175 6235\n29091 43599\n20334 30455\n86213 100000\n14846 22158\n81217 100000\n74376 100000\n43556 65418\n88845 100000\n12393 18522\n94716 100000\n66731 100000\n44739 67184\n51141 76807\n26070 39023\n99263 100000\n70346 100000\n98386 100000\n30467 45686\n57907 86932\n72296 100000\n54094 81203\n82941 100000\n27076 40554\n58924 88464\n47250 70970\n56495 84820\n25540 38235\n7746 11549\n27976 41917\n66634 99928\n46688 70111\n11413 17037\n80470 100000\n47785 71788\n26596 39825\n78780 100000\n22966 34364\n52488 78789\n4282 6392\n38261 57439\n77603 100000\n682 1003\n55698 83627\n46130 69263\n39966 60012\n40318 60532\n21252 31820\n44864 67366\n17183 25679\n50236 75441\n12205 18235\n69919 100000\n644 946\n16361 24438\n94174 100000\n56579 84943\n91862 100000\n34461 51703\n53073 79656\n57678 86586\n59446 89236\n23506 35182\n45891 68902\n26165 39167\n72042 100000\n64266 96409\n35460 53214\n90737 100000\n34065 51108\n28643 42928\n94279 100000\n89581 100000\n63693 95548\n92767 100000\n27522 41234\n77658 100000\n65209 97815\n62639 93998\n97647 100000\n33176 49777\n80268 100000\n39799 59770\n71038 100000\n37405 56138\n58245 87437\n76870 100000\n30525 45776\n15271 22804\n18043 26960\n76099 100000\n46769 70234\n29203 43769\n23503 35178\n66078 99105\n12503 18681\n84720 100000\n27311 40906\n53183 79816\n10672 15903\n19686 29466\n1697 2531\n87459 100000\n76135 100000\n89002 100000\n85508 100000\n83008 100000\n36525 54817\n10478 15612\n51910 77947\n40304 60514\n86437 100000\n29297 43908\n69036 100000\n70317 100000\n61420 92161\n56589 84959\n39832 59817\n53610 80465\n69509 100000\n90991 100000\n5451 8133\n84150 100000\n72926 100000\n52908 79418\n32489 48733\n42525 63875\n84426 100000\n81135 100000\n29984 44935\n97287 100000\n53824 80790\n868 1276\n41595 62477\n29020 43493\n19466 29124\n59306 89026\n30680 46015\n13889 20756\n24335 36417\n99502 100000\n32472 48706\n53821 80784\n57834 86820\n51898 77930\n60205 90363\n94243 100000\n59987 90041\n76407 100000\n58913 88447\n92435 100000\n78376 100000\n10218 15230\n96912 100000\n40748 61194\n43616 65508\n43353 65134\n81774 100000\n9403 14026\n88694 100000\n45387 68147\n19778 29605\n44387 66661\n68704 100000\n82092 100000\n49256 73982\n22951 34341\n23178 34682\n36252 54419\n8627 12853\n40437 60716\n89126 100000\n361 529\n71136 100000\n52783 79232\n10728 16000\n62456 93718\n85521 100000\n61286 91961\n70471 100000\n87079 100000\n80837 100000\n81117 100000\n41947 63000\n47193 70879\n63463 95200\n20020 29970\n54416 81678\n92209 100000\n80213 100000\n37954 56955\n97374 100000\n95284 100000\n36081 54167\n35091 52661\n66571 99835\n45129 67764\n59780 89728\n52705 79122\n17444 26073\n89057 100000\n76694 100000\n74225 100000\n77971 100000\n50830 76346\n73939 100000\n58811 88297\n81520 100000\n65305 97960\n36804 55241\n65097 97655\n35025 52559\n82063 100000\n79849 100000\n37561 56372\n80012 100000\n72947 100000\n5926 8825\n14204 21226\n7723 11518\n50742 76212\n77094 100000\n88562 100000\n35557 53360\n43542 65398\n53140 79756\n29135 43662\n22045 33007\n52630 79009\n40584 60944\n95526 100000\n62 89\n9211 13732\n18108 27063\n33141 49722\n23703 35473\n2995 4458\n53595 80441\n22462 33636\n19588 29312\n85937 100000\n71004 100000\n88520 100000\n34963 52467\n91641 100000\n54331 81551\n84125 100000\n4197 6268\n75792 100000\n82427 100000\n8865 13212\n22380 33514\n71063 100000\n65319 97982\n32969 49460\n5008 7487\n35740 53643\n6437 9584\n91853 100000\n89859 100000\n1934 2874\n14119 21094\n42406 63708\n67131 100000\n49478 74316\n35942 53949\n78040 100000\n15251 22773\n73691 100000\n11253 16791\n81430 100000\n23465 35126\n13067 19527\n76537 100000\n73549 100000\n58544 87891\n76298 100000\n78377 100000\n73125 100000\n75879 100000\n27977 41918\n85851 100000\n71933 100000\n3668 5468\n71037 100000\n9419 14050\n90928 100000\n96468 100000\n23548 35240\n45537 68360\n91240 100000\n64238 96367\n70195 100000\n18469 27604\n81553 100000\n9896 14756\n50259 75475\n89528 100000\n14127 21108\n15665 23408\n21512 32209\n50934 76492\n94949 100000\n92420 100000\n5150 7699\n863 1268\n68422 100000\n20507 30706\n27796 41645\n82644 100000\n776 1145\n96995 100000\n50203 75395\n13591 20308\n96748 100000\n26169 39174\n8735 13019\n40007 60074\n85401 100000\n12487 18658\n29118 43639\n96699 100000\n73401 100000\n1294 1927\n94936 100000\n37886 56853\n99316 100000\n4235 6320\n73881 100000\n27234 40788\n13698 20469\n92891 100000\n40384 60634\n39648 59546\n69795 100000\n78362 100000\n79094 100000\n65259 97887\n59502 89320\n60477 90761\n42611 64007\n52238 78428\n84419 100000\n81394 100000\n1501 2244\n43513 65357\n49941 75005\n9918 14791\n24993 37423\n96408 100000\n32360 48528\n11831 17673\n67483 100000\n31528 47282\n1344 2005\n8739 13023\n20400 30554\n62464 93728\n69710 100000\n66221 99313\n19960 29873\n54205 81364\n70524 100000\n28046 42014\n41070 61685\n15971 23859\n76889 100000\n95095 100000\n93887 100000\n59973 90022\n55950 84006\n20962 31393\n38371 57609\n51841 77849\n95980 100000\n19508 29190\n97333 100000\n1939 2882\n48940 73510\n31148 46703\n22241 33306\n51798 77788\n32448 48668\n93587 100000\n21007 31456\n57764 86709\n71986 100000\n76524 100000\n41258 61969\n30435 45637\n44337 66584\n66400 99574\n80722 100000\n21380 32004\n40236 60410\n76778 100000\n48071 72205\n53561 80386\n67398 100000\n23292 34854\n15916 23778\n40972 61528\n82666 100000\n48119 72283\n35794 53725\n19886 29766\n94950 100000\n4073 6071\n40847 61342\n99271 100000\n95134 100000\n66461 99669\n10207 15214\n93549 100000\n76391 100000\n52677 79077\n57554 86408\n82211 100000\n79323 100000\n41901 62934\n48144 72317\n44125 66265\n54467 81753\n42335 63599\n66217 99305\n75463 100000\n34228 51352\n81378 100000\n83656 100000\n47779 71781\n30829 46234\n7727 11522\n49930 74991\n81327 100000\n81590 100000\n9133 13614\n52596 78952\n23083 34535\n9115 13588\n54928 82445\n8858 13202\n88612 100000\n98142 100000\n73552 100000\n64719 97094\n43457 65286\n97869 100000\n52431 78708\n36912 55396\n2469 3672\n13145 19648\n99000 100000\n59035 88626\n35892 53874\n29569 44307\n35175 52790\n2263 3369\n31345 47004\n99983 100000\n92610 100000\n70418 100000\n75678 100000\n22113 33115\n63254 94890\n31054 46561\n77377 100000\n48899 73446\n75144 100000\n49048 73673\n68812 100000\n79566 100000\n2472 3676\n73153 100000\n10442 15557\n28169 42200\n4250 6341\n2968 4416\n78438 100000\n10821 16145\n37048 55601\n12532 18725\n74025 100000\n14151 21143\n66761 100000\n15235 22749\n49425 74240\n34258 51394\n27267 40838\n67232 100000\n15559 23241\n10815 16135\n72409 100000\n21250 31817\n64273 96421\n3417 5077\n93048 100000\n5672 8455\n65584 98373\n71235 100000\n90169 100000\n32725 49083\n51238 76953\n60149 90282\n50126 75288\n24540 36723\n30830 46235\n55825 83824\n43717 65658\n59060 88664\n14141 21129\n67421 100000\n97162 100000\n98445 100000\n29559 44292\n35191 52814\n47963 72048\n17452 26086\n54282 81479\n22062 33037\n39330 59063\n91595 100000\n53264 79949\n47936 72005\n90728 100000\n47797 71803\n31847 47746\n86092 100000\n95065 100000\n93133 100000\n27441 41105\n25333 37923\n78550 100000\n90890 100000\n44474 66790\n76143 100000\n37003 55534\n55449 83240\n40702 61127\n73462 100000\n49603 74504\n99882 100000\n260 375\n18299 27356\n34602 51922\n63418 95133\n86221 100000\n64823 97246\n73511 100000\n40669 61076\n83955 100000\n2409 3583\n82891 100000\n17238 25758\n52272 78479\n80140 100000\n74673 100000\n23220 34749\n28554 42791\n10174 15169\n66156 99213\n64808 97222\n72783 100000\n39801 59773\n95958 100000\n88601 100000\n37214 55848\n98403 100000\n41294 62021\n29449 44128\n30580 45856\n93398 100000\n61553 92366\n83366 100000\n88047 100000\n9435 14070\n90582 100000\n86817 100000\n77407 100000\n21293 31882\n68777 100000\n93548 100000\n68332 100000\n17393 25989\n48058 72186\n14887 22220\n7539 11247\n25112 37594\n60376 90610\n89980 100000\n7829 11672\n74046 100000\n26035 38971\n85247 100000\n81758 100000\n42643 64053\n96332 100000\n31269 46888\n43937 65988\n45639 68527\n6080 9045\n84818 100000\n11164 16661\n20804 31158\n91924 100000\n66245 99349\n6514 9701\n46617 70005\n24405 36519\n52057 78160\n7858 11710\n95994 100000\n87693 100000\n19790 29626\n47427 71235\n93459 100000\n57540 86385\n35799 53733\n86332 100000\n94075 100000\n73921 100000\n28502 42719\n25001 37436\n97722 100000\n91803 100000\n16550 24722\n44010 66100\n10711 15969\n35645 53493\n4711 7031\n71928 100000\n14378 21476\n40582 60940\n82384 100000\n53631 80494\n35027 52563\n9456 14099\n26143 39134\n91020 100000\n42769 64240\n90724 100000\n13381 20002\n29354 43991\n7434 11094\n39352 59098\n9820 14637\n60880 91373\n72805 100000\n19077 28524\n64400 96604\n95899 100000\n34230 51356\n75462 100000\n86444 100000\n42902 64441\n51583 77464\n6119 9100\n53550 80371\n21478 32162\n43672 65594\n92757 100000\n54954 82484\n57985 87050\n99361 100000\n78998 100000\n89712 100000\n75412 100000\n35059 52611\n98739 100000\n76591 100000\n23778 35586\n59280 88990\n99450 100000\n70944 100000\n71204 100000\n4787 7147\n3025 4501\n80872 100000\n83003 100000\n89862 100000\n9581 14270\n20313 30420\n20090 30077\n44670 67075\n81840 100000\n80439 100000\n2301 3424\n67260 100000\n37789 56706\n65616 98417\n98842 100000\n11598 17316\n96544 100000\n22248 33315\n13525 20211\n84218 100000\n57937 86977\n46413 69693\n28241 42313\n43058 64678\n91137 100000\n6156 9160\n89901 100000\n93141 100000\n65940 98895\n34562 51861\n47035 70635\n82291 100000\n40774 61231\n93566 100000\n65470 98204\n93070 100000\n69046 100000\n61281 91954\n60882 91376\n97237 100000\n32609 48909\n26181 39190\n7534 11240\n22262 33340\n71226 100000\n94220 100000\n24964 37377\n51786 77767\n52240 78431\n97749 100000\n75296 100000\n16224 24231\n23664 35412\n61224 91873\n88717 100000\n55662 83574\n22149 33169\n87190 100000\n34486 51741\n82707 100000\n27626 41389\n44754 67206\n86419 100000\n57720 86648\n62675 94052\n2885 4301\n66576 99843\n52323 78553\n83907 100000\n30895 46331\n26742 40043\n55975 84044\n96396 100000\n31040 46542\n21844 32708\n93940 100000\n56133 84274\n65390 98086\n30622 45923\n87894 100000\n42917 64465\n73913 100000\n49761 74743\n74181 100000\n26634 39882\n75604 100000\n70052 100000\n98281 100000\n57339 86092\n46873 70391\n36052 54119\n2412 3586\n42422 63733\n53634 80498\n68783 100000\n23574 35279\n26792 40121\n29018 43491\n44281 66498\n31413 47111\n56901 85440\n27512 41217\n88212 100000\n37743 56640\n14640 21864\n75299 100000\n36078 54162\n32552 48822\n309 449\n460 675\n34384 51582\n31726 47574\n74697 100000\n46652 70051\n1683 2508\n38653 58038\n50244 75450\n89749 100000\n966 1430\n43148 64823\n62560 93874\n31492 47225\n94695 100000\n85982 100000\n83182 100000\n554 814\n40154 60284\n71348 100000\n27735 41556\n37818 56751\n5756 8575\n44866 67368\n44985 67544\n91120 100000\n42031 63122\n87115 100000\n36836 55288\n45568 68413\n34214 51332\n60715 91119\n82545 100000\n91077 100000\n61682 92557\n88638 100000\n51763 77729\n94177 100000\n76313 100000\n77384 100000\n46847 70353\n52187 78357\n98156 100000\n95840 100000\n11297 16860\n7660 11427\n99032 100000\n46456 69759\n22356 33479\n59321 89047\n39621 59507\n59392 89156\n89597 100000\n14031 20961\n8542 12727\n39745 59689\n52683 79087\n51605 77500\n33098 49656\n35899 53884\n99250 100000\n35467 53225\n73262 100000\n90442 100000\n45478 68278\n5638 8404\n87705 100000\n49805 74812\n29223 43800\n16780 25072\n56009 84089\n937 1384\n82178 100000\n2070 3077\n93724 100000\n38081 57151\n83242 100000\n36904 55386\n63867 95815\n93052 100000\n1114 1651\n54235 81406\n73234 100000\n13629 20368\n98440 100000\n74415 100000\n52163 78320\n53410 80164\n82804 100000\n93569 100000\n5610 8359\n37511 56298\n91818 100000\n91985 100000\n69077 100000\n73489 100000\n25774 38583\n49563 74442\n60255 90436\n83043 100000\n40639 61032\n63199 94810\n35925 53921\n91006 100000\n16839 25156\n19061 28501\n37744 56642\n92603 100000\n50816 76326\n79021 100000\n10555 15726\n70852 100000\n59920 89937\n24205 36224\n85719 100000\n20211 30253\n26965 40385\n22394 33535\n18494 27642\n40135 60256\n97523 100000\n86025 100000\n35264 52927\n73537 100000\n76601 100000\n78789 100000\n65061 97604\n40771 61226\n28527 42754\n34346 51520\n42361 63639\n91522 100000\n31873 47788\n76191 100000\n78945 100000\n53771 80706\n30322 45467\n13727 20511\n5609 8358\n55047 82622\n78249 100000\n5258 7855\n41443 62243\n50681 76124\n12696 18978\n45966 69016\n18085 27026\n52164 78322\n32821 49231\n74642 100000\n9309 13889\n14126 21106\n58806 88287\n12362 18470\n50986 76570\n12021 17954\n40034 60111\n93087 100000\n43648 65557\n25993 38908\n37102 55679\n32895 49353\n55112 82723\n11801 17626\n56735 85179\n29353 43989\n68508 100000\n16037 23956\n96030 100000\n92193 100000\n42669 64088\n46298 69521\n54672 82064\n255 369\n32368 48540\n59675 89574\n34727 52119\n39468 59280\n78645 100000\n15413 23016\n49270 74001\n54062 81148\n54929 82446\n30293 45420\n44434 66735\n35364 53068\n14296 21358\n37465 56227\n16696 24940\n86120 100000\n23464 35124\n3356 4985\n66956 100000\n41355 62116\n13579 20291\n29870 44763\n74132 100000\n33061 49602\n31844 47741\n44270 66482\n10496 15638\n94239 100000\n45128 67762\n11011 16435\n64690 97053\n61992 93020\n64307 96466\n34080 51129\n61282 91956\n63755 95640\n12950 19351\n77837 100000\n78902 100000\n76798 100000\n28224 42288\n80663 100000\n46420 69705\n96890 100000\n42605 63999\n36117 54221\n97169 100000\n67946 100000\n84670 100000\n66316 99457\n73674 100000\n28193 42239\n56645 85048\n63365 95055\n8284 12345\n20996 31442\n75134 100000\n89817 100000\n80546 100000\n22369 33499\n71244 100000\n39108 58729\n51073 76700\n68752 100000\n51415 77221\n44485 66807\n21969 32893\n64739 97122\n39421 59208\n63138 94726\n63436 95155\n44448 66755\n2061 3062\n18169 27159\n84706 100000\n14802 22099\n36516 54802\n25733 38523\n17852 26664\n16103 24055\n69195 100000\n85922 100000\n33043 49572\n20807 31162\n80177 100000\n10429 15540\n66276 99398\n58037 87125\n78121 100000\n84455 100000\n63068 94620\n28757 43093\n72078 100000\n72127 100000\n31234 46837\n68034 100000\n33249 49881\n57075 85692\n62453 93713\n42210 63396\n69703 100000\n77334 100000\n49779 74768\n11072 16527\n9349 13945\n91673 100000\n32240 48347\n78757 100000\n13444 20095\n12098 18075\n54716 82130\n98657 100000\n92253 100000\n25566 38274\n99794 100000\n96132 100000\n74271 100000\n51951 78007\n68430 100000\n33731 50614\n95906 100000\n68570 100000\n69224 100000\n99093 100000\n41658 62571\n82044 100000\n71778 100000\n73255 100000\n78173 100000\n80073 100000\n7814 11651\n74823 100000\n22825 34158\n29894 44800\n51865 77885\n12083 18051\n24752 37051\n42 61\n88702 100000\n23305 34873\n4608 6884\n85979 100000\n31561 47334\n55929 83977\n13624 20361\n52042 78140\n57111 85750\n62253 93420\n39219 58894\n80160 100000\n15683 23435\n80518 100000\n12886 19257\n3555 5291\n3609 5377\n83389 100000\n27910 41819\n47030 70625\n13854 20699\n68972 100000\n24556 36748\n67407 100000\n86387 100000\n59470 89272\n53058 79636\n40196 60348\n51384 77175\n26687 39960\n24298 36365\n22278 33363\n57578 86442\n96387 100000\n66148 99199\n1956 2902\n43621 65515\n96477 100000\n33511 50281\n98840 100000\n29628 44400\n72417 100000\n51243 76961\n37800 56725\n92597 100000\n55589 83459\n33240 49869\n92963 100000\n3757 5603\n37543 56346\n92530 100000\n84528 100000\n41049 61651\n93054 100000\n74522 100000\n79937 100000\n84614 100000\n45045 67641\n67861 100000\n71205 100000\n22334 33445\n26935 40337\n89821 100000\n51736 77690\n97506 100000\n31324 46972\n53991 81043\n91917 100000\n48704 73153\n72287 100000\n88537 100000\n64915 97382\n4166 6219\n19618 29357\n78598 100000\n69580 100000\n29250 43837\n31013 46505\n14138 21124\n65544 98315\n24695 36968\n92097 100000\n45042 67637\n43103 64746\n50790 76286\n20998 31444\n68357 100000\n63827 95757\n88280 100000\n49517 74375\n72621 100000\n38168 57288\n88695 100000\n12290 18360\n11629 17361\n55770 83737\n19043 28473\n83255 100000\n27182 40711\n26068 39020\n13647 20393\n58479 87788\n29687 44494\n95092 100000\n60390 90632\n9947 14834\n67771 100000\n25577 38294\n28333 42452\n26427 39567\n16479 24618\n23349 34945\n29744 44578\n88239 100000\n9198 13712\n20055 30023\n25223 37760\n23202 34717\n78311 100000\n89108 100000\n82258 100000\n76869 100000\n60395 90639\n18876 28220\n36110 54211\n13708 20484\n3342 4964\n56719 85159\n8675 12931\n72610 100000\n97612 100000\n57544 86393\n80952 100000\n35960 53976\n99897 100000\n75524 100000\n66691 100000\n18180 27176\n8608 12827\n69690 100000\n1978 2936\n10687 15927\n1036 1532\n88602 100000\n93673 100000\n99385 100000\n47150 70813\n97955 100000\n40376 60621\n28435 42610\n65166 97753\n42649 64061\n82540 100000\n42858 64371\n68148 100000\n1374 2049\n11441 17082\n43372 65159\n2140 3190\n23914 35787\n83534 100000\n84887 100000\n35993 54027\n18151 27132\n45215 67892\n30131 45162\n31437 47145\n99808 100000\n78668 100000\n57127 85771\n38101 57180\n90025 100000\n70667 100000\n59668 89566\n15760 23550\n99217 100000\n41183 61855\n19938 29840\n83800 100000\n96964 100000\n80322 100000\n30104 45119\n22674 33942\n83961 100000\n89932 100000\n88904 100000\n81615 100000\n41242 61942\n55230 82899\n18538 27707\n24191 36202\n96462 100000\n96345 100000\n17690 26435\n37056 55613\n76909 100000\n72165 100000\n61715 92605\n40028 60101\n7597 11336\n74292 100000\n69418 100000\n42244 63453\n55576 83438\n34249 51382\n39990 60047\n44185 66358\n78756 100000\n27550 41276\n62300 93494\n16678 24914\n63387 95087\n4322 6455\n95548 100000\n20444 30614\n89394 100000\n6830 10165\n49444 74266\n5739 8553\n79714 100000\n36359 54576\n79548 100000\n32424 48629\n65871 98795\n41866 62880\n57779 86732\n82050 100000\n20813 31171\n35718 53609\n51542 77406\n58318 87551\n26094 39060\n10991 16403\n86021 100000\n16203 24203\n5752 8571\n4746 7085\n35585 53401\n49001 73601\n8656 12899\n49782 74773\n18691 27934\n53864 80853\n40864 61367\n90472 100000\n49755 74736\n48926 73487\n75308 100000\n84 118\n88860 100000\n243 353\n30052 45039\n12172 18188\n85371 100000\n93116 100000\n23183 34690\n17510 26174\n93378 100000\n84215 100000\n64246 96380\n76169 100000\n35721 53615\n62104 93192\n81341 100000\n62345 93559\n71747 100000\n78526 100000\n16511 24666\n9734 14507\n55458 83256\n9196 13709\n7228 10776\n49853 74884\n84910 100000\n41313 62053\n9177 13682\n71954 100000\n96932 100000\n77808 100000\n76709 100000\n34990 52509\n66348 99503\n69933 100000\n26816 40154\n9823 14642\n62233 93391\n77630 100000\n29067 43566\n93734 100000\n35223 52864\n69594 100000\n60001 90062\n87298 100000\n30424 45621\n71490 100000\n60337 90550\n74516 100000\n69860 100000\n91922 100000\n96943 100000\n97800 100000\n84301 100000\n30876 46304\n98940 100000\n64964 97454\n48019 72129\n27614 41371\n49778 74766\n99583 100000\n28211 42268\n64403 96608\n10530 15688\n40459 60748\n14130 21113\n82481 100000\n4340 6482\n71229 100000\n58022 87103\n24642 36880\n99796 100000\n47425 71231\n3524 5247\n84190 100000\n4940 7381\n65356 98036\n38019 57058\n37994 57017\n27335 40945\n66645 99946\n18759 28043\n19130 28609\n43713 65653\n30339 45495\n61227 91877\n74521 100000\n26561 39771\n20565 30793\n13420 20061\n48013 72119\n16073 24011\n4675 6980\n23097 34557\n18799 28106\n16735 24998\n74574 100000\n29783 44637\n31046 46549\n29808 44673\n15725 23496\n61841 92791\n46503 69830\n35325 53015\n19420 29051\n91597 100000\n37840 56783\n57606 86481\n31472 47195\n22657 33915\n73854 100000\n62730 94135\n15192 22682\n47580 71472\n77218 100000\n1185 1763\n58397 87668\n40155 60286\n85091 100000\n28386 42529\n230 334\n80084 100000\n87551 100000\n25735 38527\n22444 33612\n61339 92046\n55554 83406\n79729 100000\n21133 31641\n66166 99228\n59264 88964\n79281 100000\n15152 22623\n40783 61246\n59951 89985\n19648 29408\n29005 43474\n35934 53935\n99507 100000\n40773 61230\n20597 30840\n38265 57444\n97174 100000\n76051 100000\n35306 52984\n88967 100000\n18248 27276\n62205 93347\n11374 16980\n33869 50823\n91449 100000\n16645 24862\n65424 98137\n65108 97669\n77906 100000\n88443 100000\n43682 65608\n15176 22659\n22059 33032\n73695 100000\n32047 48056\n95811 100000\n17274 25811\n75780 100000\n86688 100000\n70654 100000\n85397 100000\n14442 21567\n44116 66253\n74713 100000\n95267 100000\n87474 100000\n15931 23798\n43184 64878\n73456 100000\n47731 71708\n33161 49753\n19289 28856\n47737 71716\n1565 2341\n42846 64353\n99619 100000\n94189 100000\n78113 100000\n45262 67963\n21448 32113\n79204 100000\n46001 69068\n67803 100000\n3054 4543\n23332 34916\n74174 100000\n58250 87445\n17611 26323\n10803 16117\n276 403\n76833 100000\n86017 100000\n68933 100000\n96889 100000\n6422 9558\n58124 87260\n47236 70946\n41564 62432\n48758 73232\n89022 100000\n57551 86404\n99435 100000\n33459 50205\n99518 100000\n97250 100000\n62855 94318\n70500 100000\n63251 94886\n92167 100000\n83551 100000\n41227 61920\n30846 46260\n4234 6319\n1058 1567\n27697 41495\n6977 10391\n75850 100000\n18439 27561\n71425 100000\n20093 30082\n39399 59172\n83124 100000\n87024 100000\n1468 2191\n43520 65367\n60086 90186\n4464 6664\n75352 100000\n43718 65659\n20257 30326\n95061 100000\n8105 12085\n35824 53771\n18959 28349\n18984 28391\n71214 100000\n2784 4148\n95725 100000\n80820 100000\n6622 9857\n77565 100000\n49135 73802\n23950 35841\n58537 87880\n64286 96439\n33522 50298\n38804 58273\n4715 7037\n71363 100000\n75194 100000\n31797 47672\n15219 22724\n57749 86688\n13378 19998\n34482 51734\n14931 22285\n37273 55937\n82193 100000\n66074 99101\n58684 88109\n94866 100000\n65741 98603\n65066 97611\n95263 100000\n72388 100000\n56814 85300\n87857 100000\n10098 15059\n43580 65454\n81565 100000\n60959 91486\n13329 19925\n41433 62231\n82274 100000\n52397 78660\n81003 100000\n60825 91291\n57041 85645\n97034 100000\n70014 100000\n91811 100000\n78730 100000\n34059 51101\n74789 100000\n33312 49978\n2835 4226\n70684 100000\n29990 44943\n53961 80998\n64687 97049\n80646 100000\n52217 78400\n84331 100000\n91883 100000\n73428 100000\n23510 35188\n40663 61067\n13831 20668\n52803 79262\n19863 29727\n21806 32648\n6172 9186\n68953 100000\n24914 37298\n88874 100000\n72322 100000\n37802 56728\n4104 6123\n40099 60203\n94525 100000\n47911 71969\n44289 66511\n33748 50640\n38339 57560\n71360 100000\n27383 41014\n87464 100000\n44922 67447\n63750 95633\n26133 39118\n63634 95457\n28326 42441\n16928 25285\n60719 91125\n48049 72172\n75434 100000\n78883 100000\n15773 23569\n68197 100000\n40391 60645\n89864 100000\n13602 20326\n16453 24576\n92992 100000\n6660 9910\n6539 9737\n66112 99147\n87645 100000\n14631 21850\n11056 16502\n88703 100000\n81312 100000\n67 97\n47893 71943\n98651 100000\n61260 91921\n37688 56561\n88619 100000\n54033 81105\n28402 42554\n62568 93887\n9801 14609\n48239 72461\n61398 92128\n46172 69323\n59384 89145\n51163 76840\n64806 97220\n65120 97689\n10541 15704\n89278 100000\n90867 100000\n36168 54297\n68699 100000\n67575 100000\n17111 25560\n15521 23180\n9618 14328\n83480 100000\n4191 6258\n19871 29741\n13402 20035\n57970 87024\n40850 61345\n94185 100000\n91573 100000\n36915 55401\n21023 31480\n97104 100000\n12707 18997\n10367 15452\n87362 100000\n7826 11668\n273 398\n1967 2920\n59975 90024\n62397 93634\n87084 100000\n76146 100000\n80001 100000\n79055 100000\n3046 4531\n97894 100000\n7452 11118\n93208 100000\n55949 84005\n13867 20721\n73793 100000\n43523 65371\n18680 27917\n78111 100000\n25825 38657\n87353 100000\n15285 22826\n36282 54460\n50590 75992\n3630 5411\n88378 100000\n7964 11870\n28003 41952\n86681 100000\n96567 100000\n80533 100000\n60778 91216\n25386 38005\n61160 91786\n80335 100000\n48913 73465\n9586 14277\n62829 94279\n44006 66094\n35345 53044\n88353 100000\n8836 13166\n82527 100000\n20820 31181\n33932 50911\n46582 69953\n6116 9097\n2761 4110\n43728 65671\n97082 100000\n68249 100000\n85942 100000\n47069 70688\n3858 5758\n64837 97267\n14486 21632\n76422 100000\n66844 100000\n90422 100000\n587 858\n21462 32136\n31186 46763\n27538 41258\n64923 97393\n58500 87824\n75361 100000\n91178 100000\n63268 94911\n27131 40636\n84157 100000\n23291 34853\n48485 72816\n79113 100000\n83020 100000\n46275 69486\n95327 100000\n56521 84859\n46399 69671\n99654 100000\n99051 100000\n81161 100000\n66487 99710\n40760 61209\n67472 100000\n5131 7672\n221 322\n33054 49590\n3433 5103\n44327 66567\n66566 99825\n66991 100000\n54649 82029\n44790 67259\n2836 4227\n39564 59420\n18821 28138\n7582 11316\n32812 49217\n80934 100000\n73169 100000\n53169 79796\n67364 100000\n39669 59575\n84350 100000\n27682 41473\n33782 50693\n23376 34989\n35267 52930\n336 492\n78446 100000\n50209 75403\n51913 77951\n72507 100000\n51112 76759\n84425 100000\n98799 100000\n25389 38009\n85396 100000\n61936 92938\n11730 17513\n15089 22524\n70235 100000\n57428 86220\n92229 100000\n61554 92368\n87897 100000\n37073 55635\n36594 54914\n64718 97093\n26825 40167\n86100 100000\n94772 100000\n52541 78869\n44655 67054\n11319 16893\n58514 87844\n56942 85497\n95035 100000\n93701 100000\n50597 76003\n21582 32314\n55335 83067\n21298 31888\n84448 100000\n18776 28068\n72126 100000\n20885 31278\n80511 100000\n4333 6471\n22938 34324\n64955 97442\n47178 70856\n40545 60887\n24404 36518\n51397 77199\n7532 11237\n36142 54258\n76961 100000\n66802 100000\n47168 70839\n81211 100000\n7443 11107\n18685 27925\n67126 100000\n12258 18312\n26297 39370\n56544 84895\n25519 38202\n47188 70871\n17456 26092\n48934 73500\n22826 34160\n27172 40698\n31708 47548\n47332 71090\n65872 98796\n80340 100000\n36213 54363\n12120 18108\n40371 60613\n27040 40499\n30363 45524\n79934 100000\n209 305\n32758 49136\n50336 75597\n15888 23737\n26743 40044\n19320 28904\n64987 97494\n75146 100000\n57222 85916\n93313 100000\n67176 100000\n44676 67085\n78383 100000\n12597 18828\n29895 44801\n69982 100000\n53947 80977\n7031 10472\n83323 100000\n50054 75178\n8354 12448\n3854 5753\n62740 94148\n56252 84450\n29553 44282\n94173 100000\n39974 60024\n48970 73554\n70130 100000\n50784 76277\n64817 97237\n73962 100000\n10843 16178\n31743 47597\n55349 83089\n92135 100000\n50663 76101\n19264 28815\n73629 100000\n35989 54021\n43779 65747\n85103 100000\n34062 51104\n69874 100000\n14903 22241\n33635 50476\n3290 4889\n67377 100000\n74289 100000\n35009 52535\n2269 3379\n22183 33219\n35216 52854\n28245 42320\n32918 49389\n38853 58351\n50666 76105\n35040 52581\n37685 56558\n55703 83635\n91984 100000\n39205 58876\n70600 100000\n17849 26660\n2016 2993\n67722 100000\n92049 100000\n95645 100000\n89568 100000\n50795 76294\n15741 23520\n67105 100000\n8669 12919\n81402 100000\n41822 62816\n44926 67454\n4580 6849\n23811 35639\n1791 2667\n13454 20110\n6493 9675\n19007 28419\n17519 26185\n93008 100000\n70903 100000\n87836 100000\n92027 100000\n15970 23857\n19090 28544\n49817 74830\n30404 45591\n45905 68924\n57135 85783\n99196 100000\n89510 100000\n10945 16331\n72709 100000\n93230 100000\n52327 78559\n87777 100000\n2311 3441\n59453 89247\n70179 100000\n56959 85520\n55964 84030\n29283 43884\n92471 100000\n99034 100000\n86893 100000\n42829 64331\n98394 100000\n72671 100000\n52966 79509\n24324 36402\n40700 61125\n294 427\n63386 95086\n62025 93072\n67389 100000\n41278 61996\n59877 89873\n63572 95364\n26666 39929\n92067 100000\n90667 100000\n33881 50838\n56889 85421\n72582 100000\n84577 100000\n88361 100000\n41839 62840\n47478 71318\n26418 39555\n46714 70154\n87554 100000\n39470 59283\n47233 70941\n55339 83073\n37766 56673\n39502 59331\n68262 100000\n2883 4298\n86019 100000\n42301 63540\n69120 100000\n95985 100000\n22862 34211\n89020 100000\n59817 89783\n38207 57347\n55080 82673\n40515 60840\n29826 44700\n19997 29932\n2353 3498\n30143 45179\n24576 36778\n3297 4898\n3194 4753\n23386 35004\n57790 86750\n42855 64367\n81067 100000\n70744 100000\n44668 67072\n37272 55936\n31392 47077\n53651 80523\n96690 100000\n66830 100000\n55018 82581\n72415 100000\n72407 100000\n48953 73526\n70727 100000\n93510 100000\n27904 41810\n31463 47183\n40389 60643\n58552 87905\n78386 100000\n84297 100000\n13104 19589\n1597 2390\n5203 7775\n33230 49857\n30180 45238\n41864 62877\n31410 47106\n80908 100000\n20878 31268\n5448 8129\n98164 100000\n67221 100000\n29220 43795\n93862 100000\n70351 100000\n83496 100000\n21792 32624\n87419 100000\n44630 67017\n55927 83974\n55481 83288\n64255 96392\n30739 46098\n1644 2456\n92550 100000\n48023 72136\n55093 82691\n33783 50694\n6666 9920\n80863 100000\n86229 100000\n22769 34078\n37540 56341\n3717 5545\n98173 100000\n64589 96901\n13341 19942\n63424 95139\n72681 100000\n51289 77030\n83563 100000\n93767 100000\n89315 100000\n53617 80476\n82293 100000\n42358 63636\n53544 80363\n62478 93752\n75655 100000\n42405 63707\n95337 100000\n99788 100000\n8740 13024\n29500 44203\n91079 100000\n56269 84477\n15856 23693\n77623 100000\n81425 100000\n62808 94247\n46109 69230\n34021 51043\n35855 53817\n33108 49671\n18069 27001\n47187 70870\n19405 29029\n70806 100000\n67848 100000\n989 1461\n68647 100000\n14985 22363\n22697 33974\n9729 14499\n56847 85355\n76325 100000\n96881 100000\n26997 40435\n81960 100000\n7997 11923\n80900 100000\n28112 42112\n98030 100000\n76308 100000\n42724 64169\n70847 100000\n68105 100000\n98741 100000\n77859 100000\n88289 100000\n24099 36059\n76635 100000\n65208 97813\n16746 25016\n48536 72891\n58075 87188\n66103 99138\n84261 100000\n79166 100000\n73778 100000\n47917 71978\n54370 81607\n22667 33932\n46696 70125\n11679 17433\n76467 100000\n62791 94221\n36619 54954\n31373 47049\n79872 100000\n34987 52505\n44658 67058\n72527 100000\n77768 100000\n33873 50828\n39491 59317\n20882 31274\n25615 38348\n35696 53571\n31720 47565\n19993 29924\n27380 41009\n35997 54033\n38375 57616\n29287 43891\n32260 48373\n80698 100000\n42155 63310\n57994 87063\n34 49\n13769 20572\n55571 83431\n92035 100000\n25997 38914\n63918 95893\n93181 100000\n18475 27613\n5317 7944\n73906 100000\n44225 66415\n98099 100000\n15341 22908\n26420 39557\n54527 81848\n28911 43329\n73393 100000\n37077 55643\n9108 13579\n26650 39906\n26132 39117\n93814 100000\n84762 100000\n14609 21814\n32077 48101\n10477 15611\n31839 47734\n85790 100000\n57044 85648\n16604 24804\n1158 1722\n2852 4249\n93751 100000\n52791 79245\n95884 100000\n36224 54379\n18952 28337\n31487 47218\n77706 100000\n32983 49480\n45806 68779\n3406 5061\n68100 100000\n60222 90387\n1443 2150\n18700 27948\n8717 12996\n91939 100000\n33375 50084\n94118 100000\n91140 100000\n37179 55794\n34005 51016\n77065 100000\n64842 97274\n77870 100000\n68290 100000\n67736 100000\n61277 91949\n94191 100000\n86320 100000\n16256 24279\n56932 85484\n52654 79041\n74551 100000\n43836 65833\n99399 100000\n93947 100000\n88924 100000\n89808 100000\n49127 73790\n11196 16706\n41368 62134\n91141 100000\n47013 70599\n87414 100000\n12146 18150\n82877 100000\n95140 100000\n59098 88717\n40491 60800\n59907 89919\n79459 100000\n76312 100000\n75428 100000\n77609 100000\n821 1211\n56488 84808\n62076 93149\n70426 100000\n48948 73520\n61500 92289\n22931 34313\n7890 11761\n40875 61383\n9395 14013\n43534 65387\n16033 23950\n80588 100000\n84460 100000\n68669 100000\n95896 100000\n7088 10561\n95518 100000\n48490 72823\n79712 100000\n91607 100000\n78732 100000\n5219 7801\n23272 34825\n47887 71933\n43252 64982\n15358 22929\n95890 100000\n23990 35904\n54418 81681\n942 1391\n13174 19691\n18903 28264\n41602 62488\n70494 100000\n98613 100000\n8444 12583\n55591 83462\n91441 100000\n98112 100000\n74430 100000\n87758 100000\n11447 17091\n91391 100000\n38293 57486\n26020 38952\n56024 84114\n37441 56192\n94492 100000\n45676 68587\n15397 22993\n46887 70412\n91797 100000\n25619 38353\n84570 100000\n26530 39726\n69463 100000\n4454 6650\n17906 26753\n92606 100000\n72363 100000\n84523 100000\n55010 82568\n42373 63654\n24164 36157\n25864 38715\n62593 93926\n80262 100000\n50284 75515\n6314 9396\n71559 100000\n22198 33241\n95059 100000\n86812 100000\n32789 49182\n2512 3739\n9551 14229\n64743 97127\n11691 17453\n8010 11942\n30542 45800\n40346 60572\n9182 13690\n47859 71894\n41815 62804\n79507 100000\n66060 99080\n80637 100000\n64447 96676\n87278 100000\n4422 6603\n75282 100000\n88462 100000\n40792 61260\n46521 69857\n92301 100000\n7668 11439\n34561 51859\n24665 36919\n79043 100000\n53031 79601\n20002 29941\n80425 100000\n48043 72164\n84232 100000\n84552 100000\n73812 100000\n58390 87658\n55769 83735\n34518 51791\n63966 95962\n17761 26531\n9399 14021\n53886 80885\n5076 7589\n43349 65129\n69517 100000\n66771 100000\n20323 30438\n25656 38412\n53671 80553\n91324 100000\n90073 100000\n77730 100000\n83968 100000\n34241 51369\n13499 20172\n51471 77306\n87480 100000\n60514 90814\n29716 44535\n49234 73951\n16935 25296\n57658 86558\n42490 63827\n35523 53314\n10433 15545\n75147 100000\n65963 98927\n91194 100000\n70062 100000\n34632 51967\n73646 100000\n26463 39623\n65662 98479\n45306 68029\n19765 29585\n55839 83847\n37573 56390\n59607 89475\n87997 100000\n39712 59638\n47964 72050\n28912 43331\n46227 69410\n44760 67215\n10364 15448\n21636 32397\n58693 88121\n58949 88502\n19735 29542\n35392 53110\n88667 100000\n44512 66846\n32717 49071\n41027 61617\n48287 72530\n53592 80436\n2040 3031\n33548 50336\n24841 37186\n2104 3132\n15901 23756\n80393 100000\n61590 92419\n32520 48775\n71732 100000\n43747 65699\n62412 93656\n32290 48419\n5445 8125\n78131 100000\n83936 100000\n29128 43652\n79525 100000\n35348 53047\n81951 100000\n96601 100000\n45356 68100\n94141 100000\n15766 23559\n27646 41421\n71373 100000\n38074 57140\n92667 100000\n88183 100000\n39074 58683\n32730 49090\n64071 96117\n85348 100000\n72341 100000\n26631 39876\n59895 89899\n30845 46259\n4300 6421\n80438 100000\n17354 25930\n23647 35388\n85376 100000\n86029 100000\n43451 65278\n53374 80115\n98307 100000\n42932 64487\n32033 48035\n86705 100000\n41342 62095\n36410 54649\n73377 100000\n7105 10588\n86319 100000\n62881 94355\n66869 100000\n24163 36155\n63404 95111\n55302 83014\n78832 100000\n15578 23275\n58602 87978\n20539 30752\n36353 54568\n5910 8802\n42197 63372\n14075 21028\n14669 21908\n52117 78249\n79288 100000\n84360 100000\n72143 100000\n20317 30427\n99537 100000\n37891 56859\n9553 14232\n39267 58964\n66936 100000\n72433 100000\n13388 20012\n25778 38588\n9174 13677\n37691 56565\n61720 92613\n90082 100000\n70988 100000\n87236 100000\n22934 34317\n90849 100000\n92513 100000\n96863 100000\n63390 95092\n86913 100000\n83779 100000\n1005 1483\n79417 100000\n33517 50290\n48037 72156\n34203 51317\n93634 100000\n21295 31885\n41391 62169\n74480 100000\n83082 100000\n51921 77963\n33045 49575\n50139 75306\n88218 100000\n86723 100000\n12241 18289\n22773 34082\n35948 53959\n4710 7030\n85214 100000\n66213 99299\n32264 48380\n78250 100000\n6550 9754\n72873 100000\n12284 18349\n22475 33656\n44471 66785\n99374 100000\n69922 100000\n5927 8826\n47254 70975\n72994 100000\n53177 79807\n73924 100000\n49658 74586\n90099 100000\n50727 76190\n74122 100000\n43765 65726\n85742 100000\n12848 19201\n35966 53985\n89202 100000\n99461 100000\n13286 19865\n97731 100000\n90293 100000\n84873 100000\n61710 92597\n60627 90988\n96486 100000\n26393 39516\n73386 100000\n97873 100000\n51447 77270\n18219 27235\n90138 100000\n63951 95940\n60801 91254\n44615 66992\n38750 58186\n71635 100000\n29102 43614\n73478 100000\n90764 100000\n20449 30621\n8049 12001\n9877 14724\n48178 72367\n39549 59398\n37919 56902\n48687 73125\n45869 68868\n426 622\n93653 100000\n58202 87372\n51338 77107\n54953 82483\n",
        "output": "31\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 110,
        "task_id": 541,
        "test_case_id": 43,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 99999\n43331 65130\n12383 18654\n95189 100000\n91847 100000\n56724 85091\n39838 59928\n34530 51938\n11661 17570\n68896 100000\n28295 42626\n28382 42755\n26156 39397\n5361 8052\n71032 100000\n66624 99968\n75130 100000\n6862 10307\n91029 100000\n89904 100000\n2259 3422\n23555 35519\n26003 39163\n17552 26451\n61445 92150\n504 771\n27700 41721\n66619 99961\n81065 100000\n11919 17962\n97145 100000\n19200 28925\n23921 36058\n98736 100000\n99926 100000\n39104 58820\n66763 100000\n27834 41922\n50 80\n35041 52710\n71289 100000\n97156 100000\n46198 69400\n93037 100000\n30977 46658\n76702 100000\n40095 60307\n49932 74942\n14565 21954\n87018 100000\n39940 60079\n78127 100000\n78225 100000\n5227 7846\n40335 60662\n89137 100000\n17285 26064\n99286 100000\n82012 100000\n29486 44408\n91770 100000\n74281 100000\n77528 100000\n24811 37386\n28269 42585\n26797 40358\n86949 100000\n56470 84707\n48148 72305\n49892 74887\n91432 100000\n19916 30035\n5924 8901\n21651 32637\n82013 100000\n93224 100000\n69211 100000\n22315 33644\n4274 6418\n32256 48570\n77672 100000\n83805 100000\n41992 63135\n33730 50748\n73557 100000\n24916 37545\n16096 24258\n24946 37590\n47613 71487\n72482 100000\n18473 27831\n88910 100000\n2023 3078\n91610 100000\n63932 95886\n61580 92349\n27588 41550\n89982 100000\n36268 54545\n32996 49668\n19427 29284\n95029 100000\n81547 100000\n48886 73398\n25353 38198\n14170 21357\n36397 54751\n24462 36887\n36136 54348\n50293 75498\n46932 70477\n71085 100000\n2589 3917\n33361 50203\n11318 17043\n51865 77858\n18861 28407\n28440 42850\n78004 100000\n37762 56817\n99313 100000\n70682 100000\n81165 100000\n340 522\n47985 72058\n93036 100000\n60026 90063\n52665 79019\n99884 100000\n9136 13741\n61283 91921\n71859 100000\n32617 49111\n66141 99233\n78471 100000\n76009 100000\n11478 17294\n48185 72366\n68956 100000\n51956 77992\n36207 54453\n79422 100000\n89442 100000\n66235 99378\n39097 58808\n98772 100000\n89590 100000\n88908 100000\n28204 42486\n20459 30852\n53594 80409\n49650 74530\n40097 60309\n84717 100000\n25273 38082\n41149 61875\n5127 7699\n30902 46549\n35255 53034\n29612 44597\n67819 100000\n17600 26522\n16470 24820\n32317 48664\n95125 100000\n77370 100000\n12205 18384\n62601 93896\n17323 26118\n87070 100000\n64462 96672\n96268 100000\n50040 75106\n67721 100000\n49398 74162\n4499 6767\n13966 21054\n72471 100000\n60865 91306\n20132 30363\n32056 48269\n59622 89453\n33409 50274\n46816 70308\n64192 96284\n12306 18537\n1887 2874\n14519 21888\n17182 25910\n59662 89512\n19633 29594\n99856 100000\n507 775\n60793 91201\n19209 28941\n27384 41245\n31305 47137\n62813 94210\n19121 28801\n39980 60140\n66556 99859\n19258 29013\n80225 100000\n56589 84889\n79758 100000\n76265 100000\n6114 9190\n6042 9086\n35384 53225\n89532 100000\n29491 44414\n91825 100000\n39930 60068\n33579 50519\n89501 100000\n2475 3742\n12214 18395\n7950 11951\n59178 88787\n33426 50301\n35480 53366\n67465 100000\n96696 100000\n28952 43626\n17014 25649\n71916 100000\n39612 59585\n12844 19338\n96793 100000\n37544 56487\n26627 40091\n66426 99669\n89130 100000\n12782 19251\n72138 100000\n63791 95683\n46423 69729\n61760 92627\n91957 100000\n39125 58853\n41038 61711\n62890 94324\n87517 100000\n6775 10183\n15643 23574\n99002 100000\n49209 73881\n68728 100000\n82236 100000\n7616 11447\n58242 87373\n56876 85311\n53309 79976\n1194 1824\n45244 67965\n53305 79971\n73872 100000\n39942 60083\n47328 71067\n82291 100000\n67797 100000\n24511 36960\n82252 100000\n97953 100000\n56219 84323\n62267 93405\n52444 78698\n6331 9516\n54210 81347\n73725 100000\n17628 26560\n30544 46008\n51839 77822\n57517 86278\n43032 64674\n26861 40454\n15338 23106\n53878 80846\n85164 100000\n43700 65683\n11846 17851\n97039 100000\n75627 100000\n89051 100000\n40427 60801\n1525 2327\n20128 30356\n65052 97573\n44519 66873\n30074 45304\n3234 4887\n79115 100000\n97089 100000\n67631 100000\n21661 32652\n51335 77060\n93552 100000\n96458 100000\n90762 100000\n19383 29214\n41164 61894\n61697 92529\n62396 93598\n45736 68714\n95224 100000\n52473 78741\n98787 100000\n5020 7538\n99798 100000\n47176 70840\n76936 100000\n77847 100000\n46310 69559\n26158 39400\n54494 81760\n19120 28800\n52727 79106\n85265 100000\n83139 100000\n2707 4096\n27854 41953\n7645 11489\n9360 14082\n75921 100000\n40 64\n27094 40799\n95242 100000\n97891 100000\n88020 100000\n54937 82416\n63172 94750\n60519 90789\n48697 73111\n51131 76762\n319 488\n11640 17538\n99088 100000\n87771 100000\n82711 100000\n27689 41705\n51050 76637\n24810 37385\n56215 84317\n13378 20146\n59346 89052\n5236 7858\n54297 81475\n58249 87381\n75110 100000\n55782 83682\n94073 100000\n57193 85774\n65339 98004\n24879 37490\n31577 47559\n38487 57903\n67843 100000\n59198 88820\n46366 69644\n71798 100000\n43466 65331\n18716 28193\n54764 82168\n70160 100000\n57673 86519\n46998 70575\n27376 41232\n27931 42071\n76162 100000\n8501 12785\n259 398\n14284 21535\n50155 75285\n31248 47059\n4469 6722\n96185 100000\n71431 100000\n54055 81117\n39566 59513\n60867 91310\n92231 100000\n46233 69445\n74019 100000\n2102 3191\n24985 37651\n33269 50072\n42672 64132\n14027 21142\n71781 100000\n81116 100000\n16861 25418\n73138 100000\n66610 99945\n85084 100000\n73773 100000\n96429 100000\n37706 56731\n8062 12124\n80960 100000\n64261 96386\n58652 87995\n45425 68234\n77451 100000\n4173 6264\n64076 96117\n25241 38033\n16821 25357\n35602 53553\n77905 100000\n82957 100000\n41428 62279\n53008 79532\n95556 100000\n49939 74953\n50658 76041\n76264 100000\n6448 9690\n23203 34974\n62653 93972\n93922 100000\n52101 78195\n69382 100000\n93684 100000\n28841 43467\n44620 67029\n95554 100000\n69049 100000\n15579 23475\n50960 76503\n39669 59674\n45260 67988\n10599 15944\n11932 17982\n21627 32602\n57226 85829\n39695 59711\n40486 60886\n86212 100000\n65523 98287\n16655 25100\n75781 100000\n47337 71081\n15603 23512\n49107 73719\n81756 100000\n38420 57805\n78105 100000\n14686 22140\n29908 45050\n76199 100000\n99558 100000\n45277 68014\n27302 41115\n12448 18754\n53028 79560\n62682 94018\n97125 100000\n44941 67519\n9943 14971\n13442 20243\n22570 34026\n46775 70241\n619 952\n21452 32328\n10114 15228\n64851 97275\n49763 74700\n81556 100000\n25145 37893\n80784 100000\n34767 52291\n29740 44795\n76445 100000\n62498 93745\n62633 93945\n17735 26724\n5556 8341\n1168 1787\n498 761\n13007 19585\n43581 65499\n18827 28359\n61578 92345\n15203 22907\n88324 100000\n51423 77193\n50510 75824\n13936 21005\n29728 44775\n35375 53210\n81161 100000\n568 868\n2291 3469\n84523 100000\n18775 28281\n72068 100000\n28201 42481\n13239 19941\n13137 19783\n75820 100000\n46953 70511\n53135 79725\n83806 100000\n73869 100000\n80412 100000\n33489 50387\n72208 100000\n63436 95145\n30316 45665\n92486 100000\n27018 40686\n84443 100000\n78275 100000\n88937 100000\n88064 100000\n32843 49443\n28558 43031\n10054 15141\n18393 27701\n96551 100000\n66016 99038\n56093 84141\n58774 88185\n42260 63526\n14405 21715\n73294 100000\n77288 100000\n57943 86923\n54420 81652\n3036 4588\n89699 100000\n41893 62985\n94164 100000\n69441 100000\n76297 100000\n98957 100000\n20923 31546\n56299 84443\n27518 41444\n33274 50079\n26984 40635\n32838 49434\n3850 5790\n7842 11787\n87519 100000\n79201 100000\n73149 100000\n95417 100000\n70475 100000\n93163 100000\n72483 100000\n39986 60149\n77806 100000\n19631 29591\n29942 45102\n75366 100000\n86241 100000\n47004 70584\n47928 71972\n14891 22445\n66289 99462\n60051 90097\n36720 55251\n38131 57368\n34307 51605\n37979 57149\n18110 27287\n7127 10700\n39268 59062\n42819 64352\n69252 100000\n33407 50272\n47927 71970\n54611 81937\n422 650\n43477 65348\n90197 100000\n96280 100000\n46656 70074\n71888 100000\n8387 12613\n87345 100000\n69322 100000\n10438 15710\n56419 84629\n59852 89801\n96326 100000\n57337 86006\n51140 76779\n83482 100000\n63385 95071\n69294 100000\n7479 11240\n75213 100000\n35182 52930\n74155 100000\n46374 69656\n62184 93274\n79352 100000\n10017 15083\n33024 49710\n43815 65853\n56825 85233\n17303 26090\n36203 54448\n71568 100000\n17163 25882\n19494 29385\n91273 100000\n7511 11285\n56350 84524\n66147 99242\n20654 31147\n89759 100000\n30613 46107\n75584 100000\n3197 4831\n58175 87275\n60091 90156\n33606 50562\n51825 77802\n30414 45812\n22543 33984\n53269 79916\n19100 28772\n10859 16344\n9642 14516\n95477 100000\n32392 48778\n30791 46383\n31152 46922\n37347 56187\n54224 81367\n69549 100000\n88881 100000\n227 348\n76547 100000\n72290 100000\n68195 100000\n3425 5175\n5520 8286\n61105 91650\n65643 98464\n25095 37820\n91718 100000\n53239 79874\n21241 32006\n31364 47228\n34740 52249\n39896 60016\n68746 100000\n98162 100000\n23191 34955\n67659 100000\n34750 52264\n85879 100000\n43897 65974\n21858 32951\n79757 100000\n65407 98111\n14410 21721\n12641 19046\n98662 100000\n56541 84819\n37782 56848\n30422 45824\n44660 67090\n50309 75523\n88497 100000\n7532 11317\n75644 100000\n80378 100000\n85339 100000\n75698 100000\n46965 70529\n7333 11017\n19026 28655\n20645 31134\n62657 93977\n54879 82331\n72820 100000\n3280 4958\n1428 2188\n71389 100000\n8576 12904\n90590 100000\n24691 37213\n14614 22028\n67628 100000\n11045 16618\n43035 64679\n82829 100000\n52124 78229\n16460 24804\n26014 39180\n97378 100000\n45434 68248\n90779 100000\n61028 91543\n44354 66632\n15222 22934\n54810 82235\n63621 95422\n61928 92881\n92868 100000\n53983 81009\n45308 68064\n5421 8139\n48119 72264\n39967 60122\n66346 99551\n15417 23219\n57779 86675\n79221 100000\n53091 79664\n18472 27829\n23786 35854\n21013 31677\n25153 37904\n733 1128\n82566 100000\n70953 100000\n20524 30955\n44671 67105\n20597 31064\n92739 100000\n98919 100000\n28098 42320\n40441 60821\n38444 57839\n42467 63824\n13127 19768\n80554 100000\n20017 30188\n63380 95064\n60080 90140\n31098 46839\n4520 6800\n39109 58826\n1997 3037\n7073 10621\n32839 49436\n65981 98988\n93765 100000\n59665 89518\n51668 77568\n55338 83018\n9432 14191\n19499 29392\n77867 100000\n50131 75249\n82317 100000\n97585 100000\n48646 73032\n76278 100000\n2372 3592\n16522 24902\n36526 54949\n55200 82807\n68625 100000\n31341 47190\n27409 41283\n92032 100000\n3258 4924\n40227 60504\n10288 15490\n82301 100000\n47717 71647\n12747 19204\n44896 67453\n67927 100000\n53517 80293\n70156 100000\n65659 98488\n69016 100000\n5788 8699\n97527 100000\n54212 81351\n29540 44489\n88454 100000\n65456 98180\n37742 56787\n53860 80818\n34987 52629\n50062 75139\n43064 64720\n14325 21587\n36162 54386\n6316 9492\n4951 7435\n35299 53097\n84970 100000\n17914 26998\n78107 100000\n15205 22910\n62319 93481\n32490 48926\n31645 47667\n93800 100000\n24438 36852\n24002 36184\n21077 31771\n60732 91106\n50368 75612\n38214 57494\n95236 100000\n52606 78935\n27366 41215\n59791 89710\n71503 100000\n75405 100000\n15112 22775\n93249 100000\n88212 100000\n5825 8754\n11342 17081\n27119 40833\n52978 79486\n67977 100000\n41423 62272\n67410 100000\n74045 100000\n14468 21812\n58152 87241\n70910 100000\n23754 35807\n8266 12428\n17281 26056\n25405 38277\n8080 12153\n28648 43165\n3537 5341\n86584 100000\n68799 100000\n90053 100000\n19384 29215\n24466 36894\n34566 51991\n72172 100000\n60692 91045\n16625 25055\n84669 100000\n41466 62338\n91985 100000\n38348 57696\n71298 100000\n90672 100000\n56208 84304\n71039 100000\n19187 28904\n932 1424\n65680 98520\n54134 81233\n74093 100000\n79656 100000\n33452 50337\n94605 100000\n64086 96134\n83343 100000\n34742 52252\n64720 97074\n10375 15617\n22287 33603\n25107 37835\n37024 55710\n50807 76276\n70507 100000\n93367 100000\n86521 100000\n6303 9472\n40199 60460\n76730 100000\n81737 100000\n28325 42675\n77831 100000\n58399 87614\n33697 50702\n65040 97555\n1012 1543\n93369 100000\n32826 49414\n95480 100000\n45440 68258\n89538 100000\n75515 100000\n50429 75709\n95493 100000\n90327 100000\n85100 100000\n86250 100000\n8500 12783\n31660 47688\n12581 18950\n89390 100000\n13701 20640\n90553 100000\n91122 100000\n83794 100000\n91053 100000\n74948 100000\n32282 48610\n60743 91125\n85910 100000\n53134 79724\n36528 54953\n41025 61689\n32753 49308\n63163 94734\n13711 20653\n92411 100000\n31060 46777\n18881 28439\n91150 100000\n88741 100000\n39007 58674\n95987 100000\n961 1471\n72389 100000\n96529 100000\n42477 63839\n89801 100000\n7082 10639\n79534 100000\n78061 100000\n94921 100000\n4669 7011\n46250 69472\n34969 52602\n31824 47928\n17304 26091\n21150 31876\n58098 87158\n97075 100000\n35687 53678\n68009 100000\n34507 51903\n46122 69287\n64906 97358\n46488 69828\n82209 100000\n28056 42254\n19848 29925\n8466 12729\n87358 100000\n473 723\n74535 100000\n19180 28892\n89153 100000\n2454 3707\n1529 2334\n17377 26196\n34532 51941\n52645 78990\n20247 30535\n16894 25469\n91047 100000\n89862 100000\n80044 100000\n65810 98722\n86123 100000\n88619 100000\n73499 100000\n31519 47469\n10092 15194\n49154 73794\n17477 26339\n25742 38775\n26120 39346\n50211 75370\n53496 80262\n48632 73008\n41482 62362\n24588 37062\n42028 63185\n88437 100000\n64298 96440\n63366 95041\n38732 58262\n78078 100000\n37338 56172\n1489 2282\n89214 100000\n93480 100000\n57561 86349\n9033 13592\n22832 34420\n94821 100000\n10868 16357\n68458 100000\n58840 88282\n47503 71322\n32875 49495\n87607 100000\n27806 41883\n86629 100000\n72046 100000\n10739 16165\n72424 100000\n40455 60843\n59189 88806\n19849 29927\n53378 80081\n48637 73016\n30160 45434\n71278 100000\n83939 100000\n3787 5703\n15391 23183\n9538 14362\n7108 10674\n9034 13593\n30077 45308\n88124 100000\n34216 51462\n51030 76609\n30826 46436\n37124 55861\n21917 33039\n62982 94465\n44188 66385\n45333 68101\n92872 100000\n95796 100000\n67522 100000\n96600 100000\n57289 85922\n79262 100000\n78237 100000\n71909 100000\n35776 53812\n66449 99702\n78775 100000\n73748 100000\n54683 82043\n89255 100000\n392 604\n28455 42872\n12191 18363\n33807 50866\n97533 100000\n35365 53196\n49719 74630\n12628 19027\n2866 4327\n87119 100000\n12891 19408\n65433 98148\n57627 86453\n339 520\n4349 6532\n33713 50725\n37362 56212\n46652 70068\n38190 57459\n52851 79294\n72869 100000\n90692 100000\n79970 100000\n6335 9521\n33667 50650\n78106 100000\n91349 100000\n81713 100000\n90390 100000\n75093 100000\n34252 51512\n61033 91550\n83245 100000\n94583 100000\n73919 100000\n4330 6507\n53651 80497\n38019 57204\n69776 100000\n52488 78764\n1930 2936\n68190 100000\n23763 35819\n76664 100000\n63275 94901\n24259 36583\n21981 33134\n77695 100000\n48978 73527\n15271 23011\n61343 92002\n88387 100000\n65638 98456\n94587 100000\n88491 100000\n76238 100000\n19757 29789\n46543 69905\n85520 100000\n28658 43182\n46013 69118\n82399 100000\n50914 76434\n31741 47810\n66722 100000\n68684 100000\n79795 100000\n71076 100000\n19545 29457\n82442 100000\n13944 21021\n54050 81110\n62249 93375\n49402 74167\n36044 54211\n80549 100000\n15591 23493\n21441 32311\n81881 100000\n88876 100000\n17293 26076\n72210 100000\n7417 11146\n97860 100000\n26305 39618\n10179 15321\n62524 93783\n87409 100000\n69818 100000\n70521 100000\n36191 54432\n46341 69603\n61307 91953\n61791 92675\n83756 100000\n13208 19891\n12940 19478\n94208 100000\n34419 51774\n70126 100000\n24536 36996\n82989 100000\n17247 26008\n53569 80373\n79436 100000\n60418 90637\n95773 100000\n73380 100000\n28823 43437\n44853 67383\n41171 61904\n21435 32300\n97634 100000\n85206 100000\n33795 50848\n90593 100000\n33248 50040\n90450 100000\n21021 31689\n96399 100000\n11262 16956\n51893 77902\n76543 100000\n41559 62476\n56431 84646\n57264 85883\n65590 98391\n90645 100000\n49606 74467\n17546 26443\n54789 82203\n83349 100000\n32548 49014\n80206 100000\n62458 93689\n35710 53713\n87809 100000\n15572 23464\n82275 100000\n44331 66598\n74888 100000\n67218 100000\n70564 100000\n42325 63613\n48265 72480\n78323 100000\n98513 100000\n21889 32996\n76062 100000\n32301 48640\n90449 100000\n46742 70192\n51267 76960\n4944 7424\n76043 100000\n5313 7975\n60989 91485\n14499 21857\n70848 100000\n71955 100000\n45305 68059\n71122 100000\n53619 80446\n55046 82578\n45966 69052\n39887 60004\n75609 100000\n3711 5589\n45926 68993\n1620 2468\n8773 13202\n30090 45328\n78164 100000\n88561 100000\n15291 23040\n74897 100000\n89949 100000\n43341 65147\n51504 77321\n35984 54122\n98112 100000\n68269 100000\n69315 100000\n91738 100000\n82367 100000\n65984 98994\n42026 63181\n96925 100000\n5307 7967\n39258 59048\n61323 91973\n31446 47353\n16769 25274\n96506 100000\n75308 100000\n42854 64406\n92869 100000\n83765 100000\n7574 11383\n64692 97030\n58446 87689\n33326 50153\n96266 100000\n99383 100000\n96936 100000\n95919 100000\n61571 92336\n44646 67067\n79469 100000\n72699 100000\n38438 57829\n3009 4547\n78589 100000\n72047 100000\n54889 82345\n95701 100000\n24440 36855\n49412 74181\n81879 100000\n83866 100000\n37368 56221\n64311 96455\n5676 8523\n68629 100000\n49505 74323\n77623 100000\n95137 100000\n25212 37990\n33292 50105\n41243 62017\n26625 40087\n35256 53036\n81388 100000\n47350 71101\n72189 100000\n46245 69465\n88080 100000\n92611 100000\n30929 46590\n76597 100000\n68815 100000\n45561 68447\n81230 100000\n35213 52976\n5731 8609\n70112 100000\n34236 51492\n5636 8461\n85756 100000\n21058 31743\n93893 100000\n29963 45134\n12945 19488\n58453 87700\n20550 30997\n31151 46921\n9275 13955\n73909 100000\n19676 29664\n70830 100000\n56026 84053\n74744 100000\n10922 16433\n52535 78831\n58251 87384\n40129 60362\n36773 55332\n54315 81499\n82782 100000\n5422 8141\n71940 100000\n21065 31752\n23290 35110\n75908 100000\n66260 99418\n64873 97309\n25375 38229\n25288 38102\n15139 22811\n52066 78147\n66139 99230\n99513 100000\n36332 54647\n7123 10693\n24374 36757\n68550 100000\n24852 37449\n94689 100000\n36378 54721\n68627 100000\n89471 100000\n82816 100000\n85127 100000\n28301 42636\n11336 17072\n48701 73118\n25426 38309\n19847 29923\n18033 27167\n16108 24277\n56027 84055\n12290 18511\n59956 89956\n62933 94388\n11786 17761\n35624 53588\n96133 100000\n84103 100000\n11004 16556\n82805 100000\n55784 83685\n86712 100000\n49052 73638\n52371 78590\n37773 56834\n71872 100000\n30405 45798\n45668 68613\n32676 49198\n17977 27087\n98805 100000\n43417 65260\n14333 21599\n6364 9562\n76132 100000\n3448 5210\n14327 21590\n55552 83336\n15410 23210\n83716 100000\n19944 30082\n22307 33634\n60828 91253\n41901 62998\n68680 100000\n34474 51853\n23663 35677\n18434 27766\n12802 19280\n36605 55070\n14279 21527\n30079 45312\n39183 58939\n5436 8163\n76589 100000\n13021 19604\n38591 58053\n46800 70281\n69410 100000\n6087 9157\n1430 2192\n34797 52334\n41510 62405\n29688 44711\n34715 52211\n57681 86533\n4990 7493\n35696 53690\n42671 64131\n23865 35976\n44802 67303\n94549 100000\n93643 100000\n48474 72782\n44334 66603\n28305 42641\n24762 37319\n76206 100000\n65826 98749\n83468 100000\n79956 100000\n93391 100000\n40880 61471\n21803 32870\n38238 57531\n44056 66200\n78617 100000\n44755 67234\n81439 100000\n14869 22416\n50557 75895\n20055 30246\n29733 44785\n13607 20497\n69230 100000\n774 1192\n38061 57266\n53152 79748\n17536 26427\n27943 42088\n17362 26173\n78133 100000\n99412 100000\n94537 100000\n18959 28554\n73938 100000\n69507 100000\n11256 16945\n33787 50837\n64604 96892\n69610 100000\n83226 100000\n40251 60536\n86589 100000\n908 1392\n36361 54693\n29953 45119\n13959 21043\n29073 43802\n26005 39165\n59474 89233\n67778 100000\n37651 56645\n99890 100000\n22949 34596\n16068 24218\n11157 16789\n28801 43404\n77753 100000\n21682 32685\n77317 100000\n67200 100000\n7374 11079\n68251 100000\n65526 98291\n62073 93097\n88702 100000\n84723 100000\n3961 5952\n83469 100000\n75152 100000\n68187 100000\n95156 100000\n626 962\n36883 55502\n39430 59307\n54458 81706\n53585 80396\n94736 100000\n56791 85185\n77241 100000\n81634 100000\n62955 94424\n68575 100000\n59763 89668\n45905 68962\n81505 100000\n4198 6304\n98309 100000\n39175 58929\n42120 63320\n8637 13000\n50714 76130\n21895 33005\n52388 78617\n47954 72012\n99729 100000\n89291 100000\n17482 26349\n50196 75345\n82734 100000\n51583 77438\n25815 38891\n61608 92389\n19537 29445\n79495 100000\n47645 71538\n93364 100000\n11732 17684\n92089 100000\n19825 29891\n66257 99414\n28987 43675\n20311 30623\n69032 100000\n33963 51094\n24176 36447\n62097 93133\n60225 90355\n91944 100000\n3857 5800\n49886 74879\n64729 97088\n22444 33840\n30373 45750\n49624 74492\n51740 77678\n8486 12761\n78543 100000\n67750 100000\n53762 80668\n74516 100000\n67783 100000\n51801 77766\n54117 81209\n41673 62649\n70569 100000\n58806 88230\n36702 55224\n25247 38041\n39020 58692\n8374 12592\n93669 100000\n70898 100000\n43067 64725\n64219 96328\n17638 26573\n73679 100000\n24735 37281\n97124 100000\n22135 33376\n15453 23277\n31365 47229\n90916 100000\n41092 61788\n17502 26378\n75922 100000\n65604 98412\n88893 100000\n54927 82400\n69034 100000\n29272 44104\n21057 31742\n56476 84715\n64471 96688\n31566 47544\n88089 100000\n96960 100000\n67212 100000\n93166 100000\n42111 63307\n83836 100000\n6700 10066\n99769 100000\n78908 100000\n87288 100000\n4027 6047\n67497 100000\n48961 73502\n34579 52008\n55333 83012\n21721 32745\n56393 84594\n24664 37172\n26536 39960\n52759 79158\n16864 25422\n49590 74442\n13098 19726\n31838 47954\n64597 96883\n67782 100000\n75884 100000\n67354 100000\n59348 89055\n6433 9666\n94295 100000\n86114 100000\n69761 100000\n91296 100000\n62611 93914\n95879 100000\n38483 57897\n23517 35465\n47752 71703\n61947 92910\n60697 91052\n28893 43538\n54248 81405\n1280 1949\n5148 7727\n66068 99119\n73810 100000\n77371 100000\n81352 100000\n65980 98986\n23232 35018\n80244 100000\n3145 4754\n31489 47421\n94325 100000\n5068 7614\n32110 48347\n34425 51781\n31127 46881\n31546 47513\n8657 13029\n73327 100000\n61593 92368\n28123 42360\n11358 17107\n14905 22467\n82049 100000\n25492 38413\n67673 100000\n19955 30100\n49543 74376\n43646 65597\n78965 100000\n85106 100000\n74604 100000\n21636 32613\n70454 100000\n90520 100000\n71361 100000\n75789 100000\n46200 69403\n45727 68703\n10760 16196\n28401 42784\n71291 100000\n38390 57760\n75600 100000\n98808 100000\n32852 49458\n45542 68415\n45467 68299\n96318 100000\n19689 29681\n13658 20575\n45129 67796\n30703 46247\n22381 33746\n6830 10260\n48968 73513\n5991 9006\n10790 16238\n52924 79404\n51393 77148\n27139 40865\n12444 18747\n31723 47784\n28389 42767\n2269 3437\n2374 3595\n93707 100000\n30143 45409\n10703 16105\n24776 37339\n90535 100000\n27558 41504\n32969 49629\n63804 95703\n76216 100000\n87835 100000\n96134 100000\n47243 70936\n39246 59030\n752 1156\n32816 49401\n93287 100000\n69159 100000\n14816 22332\n63276 94903\n51362 77104\n85865 100000\n30492 45931\n69672 100000\n30156 45428\n60154 90244\n44779 67268\n7347 11037\n92276 100000\n80145 100000\n907 1391\n35525 53435\n15565 23453\n76139 100000\n10344 15568\n185 283\n78867 100000\n88139 100000\n1669 2541\n8990 13532\n64922 97381\n70763 100000\n95622 100000\n55057 82595\n75534 100000\n38662 58162\n25201 37971\n34073 51261\n996 1521\n2140 3245\n31848 47967\n61042 91562\n5992 9007\n3634 5477\n49718 74629\n38137 57377\n85965 100000\n91654 100000\n55693 83549\n21689 32697\n74777 100000\n71445 100000\n1094 1674\n14788 22292\n79950 100000\n53833 80777\n59122 88704\n28957 43633\n9656 14537\n27536 41471\n43707 65693\n38453 57854\n59395 89124\n51324 77043\n35614 53571\n42365 63672\n70741 100000\n56668 85005\n36271 54549\n4718 7086\n9358 14079\n84440 100000\n19185 28901\n87015 100000\n9301 13995\n95780 100000\n3092 4673\n57534 86308\n94425 100000\n32400 48789\n48446 72740\n49911 74912\n52826 79257\n72501 100000\n86359 100000\n9643 14517\n54011 81054\n31268 47086\n16860 25416\n59486 89251\n65757 98644\n49470 74269\n96640 100000\n79896 100000\n28006 42177\n8599 12941\n21194 31937\n11377 17138\n85731 100000\n61776 92653\n79601 100000\n14575 21970\n53470 80220\n21638 32616\n95246 100000\n94895 100000\n4995 7500\n70005 100000\n65122 97678\n20420 30790\n16873 25437\n83735 100000\n36627 55108\n54735 82119\n68231 100000\n55157 82741\n95584 100000\n23379 35251\n19857 29939\n14632 22057\n47325 71063\n50442 75729\n38207 57484\n61358 92027\n59420 89158\n3685 5553\n25552 38501\n85508 100000\n8794 13236\n79353 100000\n47310 71036\n35278 53067\n4694 7047\n19542 29453\n92261 100000\n10784 16230\n57268 85889\n35953 54073\n71918 100000\n22323 33656\n59954 89953\n35612 53567\n87684 100000\n88697 100000\n28010 42184\n38127 57361\n22783 34349\n45893 68943\n35738 53756\n65501 98253\n35471 53353\n82567 100000\n34589 52023\n15839 23879\n76352 100000\n39395 59259\n87464 100000\n67299 100000\n25657 38647\n89060 100000\n98127 100000\n55326 83003\n3502 5293\n7988 12010\n70546 100000\n56228 84336\n65608 98416\n96913 100000\n18037 27173\n61536 92284\n39778 59841\n32842 49441\n9626 14493\n10423 15687\n16417 24745\n20207 30473\n76875 100000\n30803 46401\n80607 100000\n92472 100000\n81991 100000\n25743 38777\n74091 100000\n20903 31516\n8880 13362\n91674 100000\n5716 8584\n51932 77958\n21878 32979\n20387 30742\n85424 100000\n33152 49895\n24217 36516\n63751 95618\n23650 35657\n67243 100000\n62924 94374\n97108 100000\n14249 21479\n47028 70619\n57824 86739\n80040 100000\n3939 5918\n52607 78937\n63187 94773\n69158 100000\n26963 40604\n69725 100000\n58678 88036\n92 140\n17540 26433\n78717 100000\n30091 45330\n20075 30277\n74682 100000\n18563 27970\n7251 10887\n49769 74709\n42951 64556\n63254 94868\n67627 100000\n4608 6926\n60304 90471\n33766 50804\n29562 44524\n81008 100000\n25341 38182\n32520 48973\n6829 10259\n66416 99655\n33612 50568\n11994 18071\n29174 43953\n34865 52442\n90778 100000\n39617 59593\n62643 93958\n35734 53750\n2664 4032\n96215 100000\n361 556\n73726 100000\n13811 20805\n19462 29339\n23779 35844\n27623 41607\n85588 100000\n12650 19060\n70630 100000\n64814 97216\n74265 100000\n35964 54092\n46293 69534\n61471 92188\n7369 11069\n92004 100000\n85741 100000\n13012 19592\n91759 100000\n98742 100000\n80954 100000\n94828 100000\n33584 50526\n61617 92403\n9345 14058\n68719 100000\n26196 39456\n76366 100000\n65655 98483\n9780 14720\n61521 92260\n56214 84316\n7688 11554\n95265 100000\n25190 37956\n52880 79339\n92403 100000\n51724 77653\n90696 100000\n559 857\n33384 50235\n2396 3623\n70041 100000\n17279 26054\n41452 62317\n81760 100000\n5034 7561\n82184 100000\n26836 40414\n7826 11761\n50783 76239\n48855 73351\n26539 39964\n19696 29694\n73562 100000\n89829 100000\n73915 100000\n88311 100000\n84990 100000\n88774 100000\n82464 100000\n43410 65250\n9510 14315\n66258 99415\n7966 11974\n91676 100000\n83553 100000\n98875 100000\n74094 100000\n63889 95827\n63690 95520\n22142 33386\n75842 100000\n32287 48617\n80848 100000\n68471 100000\n8573 12899\n64881 97322\n82722 100000\n53089 79661\n5461 8200\n74292 100000\n38217 57498\n72397 100000\n68390 100000\n97360 100000\n3731 5619\n31104 46848\n70540 100000\n32701 49235\n64112 96172\n25437 38327\n60691 91044\n15886 23946\n57366 86052\n51566 77411\n78278 100000\n62194 93291\n85624 100000\n39402 59268\n52022 78089\n55528 83300\n68439 100000\n20593 31058\n53889 80864\n80697 100000\n51925 77948\n89490 100000\n70445 100000\n70840 100000\n25191 37958\n4066 6108\n65201 97795\n20494 30910\n5013 7526\n68755 100000\n25281 38092\n65248 97860\n67380 100000\n26867 40462\n15445 23264\n55251 82884\n61376 92052\n2654 4016\n89039 100000\n99627 100000\n59612 89439\n74202 100000\n76181 100000\n62656 93976\n52899 79366\n78979 100000\n15911 23985\n58068 87114\n99321 100000\n55518 83288\n59159 88760\n98715 100000\n15368 23150\n98749 100000\n50593 75950\n22081 33286\n55259 82895\n50699 76105\n89444 100000\n67816 100000\n82237 100000\n19635 29597\n34655 52121\n27434 41319\n45650 68588\n64363 96527\n73809 100000\n9444 14208\n16112 24282\n56566 84856\n11201 16859\n70085 100000\n613 941\n45630 68556\n22427 33816\n21244 32011\n75498 100000\n94507 100000\n17423 26264\n42289 63565\n99150 100000\n23224 35007\n15438 23251\n2079 3158\n43485 65358\n24469 36899\n23802 35879\n71099 100000\n45442 68262\n83074 100000\n41969 63101\n67456 100000\n92683 100000\n69625 100000\n92535 100000\n92558 100000\n94318 100000\n79789 100000\n4550 6844\n17879 26946\n60964 91448\n34429 51787\n45115 67777\n54347 81543\n20603 31073\n33650 50627\n97550 100000\n10621 15978\n48932 73463\n39856 59950\n23324 35167\n4918 7391\n46322 69575\n11016 16576\n29645 44647\n45563 68449\n14199 21400\n54928 82402\n86062 100000\n21346 32168\n60410 90624\n12539 18889\n84083 100000\n99766 100000\n87819 100000\n96918 100000\n95450 100000\n4234 6357\n93820 100000\n86194 100000\n25847 38937\n12683 19107\n61863 92784\n31473 47394\n72038 100000\n42852 64403\n95076 100000\n89573 100000\n5667 8509\n98942 100000\n15739 23722\n65265 97889\n19912 30029\n47 75\n52641 78986\n57920 86888\n65424 98136\n89010 100000\n20965 31606\n624 959\n86160 100000\n22789 34357\n97433 100000\n86622 100000\n37569 56523\n30691 46229\n80858 100000\n89011 100000\n58919 88397\n11996 18074\n34242 51499\n39850 59941\n99224 100000\n5054 7595\n43494 65370\n44669 67103\n6902 10365\n37049 55748\n18212 27438\n35359 53187\n55953 83943\n81900 100000\n21365 32198\n29022 43727\n86898 100000\n50861 76350\n63330 94986\n1450 2218\n76745 100000\n68616 100000\n49678 74570\n42293 63569\n17392 26218\n54743 82132\n54408 81634\n50320 75539\n28965 43643\n6655 10004\n75705 100000\n27000 40659\n25461 38364\n70206 100000\n34232 51487\n63763 95638\n37108 55832\n48830 73310\n26297 39608\n49538 74369\n64994 97485\n8593 12932\n20159 30404\n83645 100000\n72239 100000\n63908 95852\n10892 16391\n13877 20907\n92579 100000\n6292 9455\n43449 65306\n51949 77984\n90128 100000\n36500 54910\n79681 100000\n59158 88759\n14234 21455\n11895 17925\n68330 100000\n8483 12757\n83525 100000\n59437 89181\n74990 100000\n21443 32314\n93642 100000\n76236 100000\n62283 93426\n53322 79992\n25697 38709\n48076 72194\n79057 100000\n83531 100000\n50525 75847\n49785 74731\n49421 74196\n63998 95990\n67230 100000\n34271 51544\n34165 51384\n27230 41004\n5916 8891\n65053 97575\n94494 100000\n89973 100000\n97167 100000\n14958 22546\n98502 100000\n10480 15769\n76574 100000\n47296 71018\n65633 98450\n40218 60488\n55544 83325\n23381 35254\n30928 46589\n79713 100000\n10033 15107\n29664 44675\n50075 75158\n47857 71865\n69194 100000\n10177 15319\n34558 51979\n41768 62787\n18853 28394\n71286 100000\n35698 53694\n45435 68250\n73585 100000\n96346 100000\n43014 64647\n35414 53267\n9779 14718\n46302 69547\n9732 14656\n9267 13943\n14171 21358\n62947 94411\n2225 3372\n6469 9723\n16086 24242\n31944 48106\n97292 100000\n85791 100000\n66410 99645\n37440 56334\n87310 100000\n14797 22304\n1616 2460\n54110 81198\n92154 100000\n35103 52803\n28886 43527\n78738 100000\n52859 79307\n25961 39102\n26635 40103\n52871 79326\n89583 100000\n19812 29869\n99080 100000\n31042 46749\n26341 39673\n1084 1658\n97722 100000\n51377 77125\n32431 48835\n94504 100000\n94492 100000\n14492 21846\n81264 100000\n43045 64692\n40306 60620\n59344 89048\n28517 42961\n3181 4810\n31411 47302\n6786 10199\n75772 100000\n26548 39976\n7450 11196\n97252 100000\n36218 54471\n16947 25549\n492 750\n77621 100000\n45953 69033\n5100 7660\n8876 13356\n29863 44980\n66913 100000\n88376 100000\n57167 85737\n46502 69846\n20198 30459\n60443 90678\n81844 100000\n60799 91208\n45077 67719\n54418 81649\n48794 73261\n66347 99552\n18851 28391\n21425 32284\n18284 27546\n63584 95361\n87357 100000\n73642 100000\n75047 100000\n75547 100000\n90482 100000\n264 404\n49927 74934\n24187 36465\n8120 12210\n28288 42617\n20185 30438\n1826 2781\n65050 97570\n92046 100000\n91363 100000\n92910 100000\n21019 31685\n60345 90531\n75826 100000\n90301 100000\n74941 100000\n1202 1835\n9915 14931\n50330 75556\n93473 100000\n41059 61742\n1060 1617\n87360 100000\n26361 39702\n92735 100000\n29506 44438\n44013 66139\n79233 100000\n24640 37135\n15807 23832\n52740 79126\n93663 100000\n91536 100000\n26917 40537\n53679 80539\n34020 51183\n95723 100000\n90718 100000\n50736 76166\n91681 100000\n87365 100000\n75470 100000\n95460 100000\n43396 65231\n2290 3467\n77522 100000\n4562 6861\n26707 40221\n30326 45678\n78944 100000\n79548 100000\n58252 87385\n31327 47170\n82164 100000\n45076 67718\n77632 100000\n32123 48367\n93136 100000\n12522 18865\n37598 56568\n94739 100000\n12180 18345\n98732 100000\n29464 44374\n45275 68010\n61665 92481\n44698 67145\n56346 84518\n22399 33776\n81864 100000\n71782 100000\n77181 100000\n10135 15261\n8297 12473\n30040 45250\n54369 81574\n85621 100000\n80893 100000\n62620 93928\n34211 51456\n89631 100000\n76302 100000\n83333 100000\n85821 100000\n63779 95664\n34416 51768\n19279 29047\n56987 85471\n61547 92300\n19276 29042\n11784 17759\n26264 39560\n92822 100000\n78634 100000\n98223 100000\n55092 82648\n22980 34643\n6139 9229\n79123 100000\n47948 72006\n29406 44296\n72831 100000\n73935 100000\n23783 35849\n47908 71941\n39773 59832\n14968 22562\n82316 100000\n45062 67697\n58820 88251\n98745 100000\n29579 44550\n72717 100000\n54523 81800\n7167 10762\n12296 18522\n16447 24784\n80035 100000\n30097 45340\n43277 65046\n55014 82533\n49328 74054\n60097 90163\n42708 64187\n12951 19496\n78778 100000\n13313 20048\n29470 44384\n14661 22101\n21982 33135\n36245 54511\n466 713\n91098 100000\n14412 21725\n23497 35438\n17104 25789\n61372 92047\n81288 100000\n14640 22069\n64838 97255\n38417 57801\n78594 100000\n10134 15260\n8079 12152\n74540 100000\n8082 12155\n1141 1744\n22194 33464\n92351 100000\n47743 71688\n75724 100000\n73285 100000\n1554 2367\n16900 25478\n89417 100000\n41522 62423\n84319 100000\n58497 87763\n61120 91672\n2853 4310\n26951 40585\n51192 76859\n68822 100000\n24184 36460\n60940 91417\n57044 85554\n48670 73068\n65490 98234\n96665 100000\n40025 60209\n96213 100000\n68915 100000\n76561 100000\n37580 56539\n10633 15995\n42402 63732\n54043 81100\n96205 100000\n4401 6611\n72860 100000\n49999 75044\n27250 41034\n53494 80258\n64203 96302\n42437 63781\n71892 100000\n54689 82052\n86705 100000\n84438 100000\n4019 6036\n8997 13543\n56874 85307\n4181 6277\n41296 62090\n8682 13066\n13661 20579\n27508 41427\n14500 21859\n54632 81966\n50911 76430\n85450 100000\n80148 100000\n20776 31327\n94741 100000\n81913 100000\n96757 100000\n21014 31678\n79453 100000\n7456 11203\n94903 100000\n26321 39644\n6112 9187\n82938 100000\n47675 71584\n67157 100000\n27552 41496\n54478 81733\n73305 100000\n87735 100000\n20683 31192\n88845 100000\n81057 100000\n87424 100000\n6843 10280\n10172 15312\n17204 25943\n6080 9146\n30361 45732\n76224 100000\n21394 32238\n89638 100000\n73487 100000\n59799 89721\n33181 49937\n12605 18990\n58111 87178\n77143 100000\n6032 9071\n38188 57457\n63813 95716\n78438 100000\n92854 100000\n16805 25333\n27363 41210\n92785 100000\n80690 100000\n67214 100000\n47258 70960\n93511 100000\n64115 96176\n63064 94585\n90839 100000\n3782 5694\n35880 53969\n99747 100000\n67460 100000\n2474 3740\n84991 100000\n3162 4781\n76149 100000\n63025 94529\n32509 48954\n71103 100000\n71077 100000\n9225 13873\n52121 78226\n42494 63864\n37901 57027\n61553 92309\n89396 100000\n20269 30567\n3586 5409\n54896 82355\n77476 100000\n14558 21943\n17071 25737\n35096 52792\n42643 64094\n50268 75459\n15330 23095\n70936 100000\n60920 91386\n5260 7896\n95870 100000\n91715 100000\n83755 100000\n58896 88360\n99179 100000\n857 1317\n22106 33329\n48773 73231\n10530 15844\n43909 65990\n91289 100000\n86032 100000\n2679 4056\n46187 69382\n51310 77025\n2203 3338\n56644 84972\n45531 68396\n64848 97271\n94009 100000\n80729 100000\n11837 17837\n7350 11041\n55974 83972\n1305 1988\n6820 10247\n91318 100000\n63027 94531\n42095 63281\n89732 100000\n14031 21147\n14437 21769\n22996 34668\n9619 14482\n73846 100000\n80536 100000\n90652 100000\n238 366\n80617 100000\n40040 60228\n36367 54703\n58077 87130\n57698 86559\n60393 90599\n5273 7919\n51909 77926\n29900 45041\n74486 100000\n13392 20168\n12654 19066\n32678 49202\n72517 100000\n4047 6077\n54448 81692\n96157 100000\n62143 93207\n57556 86340\n4948 7430\n10243 15420\n2508 3793\n5232 7854\n87242 100000\n60194 90306\n68697 100000\n80430 100000\n91673 100000\n72215 100000\n2955 4466\n58787 88201\n73948 100000\n70888 100000\n28473 42896\n11601 17482\n4187 6287\n30616 46112\n4772 7168\n7168 10764\n7716 11598\n12327 18567\n95628 100000\n73394 100000\n2850 4307\n14207 21413\n41182 61920\n22917 34550\n44050 66193\n86118 100000\n69620 100000\n6719 10095\n96739 100000\n40910 61514\n78818 100000\n73882 100000\n52107 78203\n91491 100000\n34607 52050\n77260 100000\n45428 68238\n40324 60645\n55619 83438\n45752 68740\n84749 100000\n77077 100000\n29425 44319\n48224 72420\n47967 72029\n15570 23461\n40053 60246\n32698 49232\n92291 100000\n19943 30080\n77273 100000\n32762 49323\n7733 11623\n86882 100000\n77005 100000\n77807 100000\n50080 75167\n86230 100000\n98354 100000\n36848 55446\n59163 88765\n58254 87388\n26063 39254\n55303 82967\n21525 32440\n33480 50375\n36258 54528\n98531 100000\n13 21\n68713 100000\n92304 100000\n67296 100000\n34649 52112\n55578 83376\n57152 85713\n96520 100000\n22764 34320\n72588 100000\n25302 38122\n49831 74799\n66538 99833\n32124 48369\n66377 99596\n64053 96080\n55468 83209\n35559 53485\n88805 100000\n18043 27182\n66578 99893\n63160 94729\n82824 100000\n3986 5986\n28921 43578\n53741 80636\n29858 44972\n23319 35158\n79059 100000\n69061 100000\n31572 47552\n77215 100000\n2278 3450\n69553 100000\n32603 49090\n6301 9469\n71407 100000\n33153 49896\n55691 83545\n51606 77475\n24920 37549\n4853 7291\n7339 11025\n20500 30919\n99722 100000\n24865 37467\n35333 53145\n62654 93973\n52460 78723\n70661 100000\n5139 7714\n92820 100000\n55353 83035\n92827 100000\n58064 87108\n36826 55413\n33393 50248\n71318 100000\n32858 49468\n12730 19182\n85405 100000\n83177 100000\n672 1032\n15852 23899\n61056 91581\n95770 100000\n83514 100000\n37523 56459\n87479 100000\n52286 78469\n95863 100000\n86800 100000\n62636 93949\n90237 100000\n64150 96223\n30914 46566\n7411 11138\n95354 100000\n14439 21772\n7035 10558\n43265 65027\n83292 100000\n31994 48175\n42963 64572\n72971 100000\n95067 100000\n31499 47437\n17661 26608\n80251 100000\n82516 100000\n33660 50641\n28793 43392\n73173 100000\n38096 57319\n63995 95985\n80519 100000\n68243 100000\n39790 59862\n32240 48548\n51821 77796\n60476 90726\n65396 98091\n16049 24188\n49982 75018\n12603 18987\n43033 64676\n73444 100000\n67872 100000\n61821 92718\n88189 100000\n37704 56727\n77466 100000\n652 999\n73033 100000\n85622 100000\n40039 60226\n27982 42145\n66798 100000\n76923 100000\n98153 100000\n30844 46460\n67378 100000\n3297 4980\n52940 79428\n75190 100000\n799 1231\n1192 1820\n74384 100000\n50317 75535\n38158 57407\n68012 100000\n28014 42190\n5753 8648\n32497 48936\n22878 34491\n23644 35648\n13601 20488\n68999 100000\n3864 5810\n53171 79779\n69333 100000\n72956 100000\n78636 100000\n57594 86401\n79569 100000\n60034 90073\n22493 33915\n9052 13623\n47846 71849\n96659 100000\n47987 72061\n10764 16202\n98390 100000\n28038 42228\n19210 28943\n48779 73239\n62946 94409\n95319 100000\n53794 80716\n64461 96671\n12284 18503\n59918 89902\n82266 100000\n11297 17011\n22518 33948\n47754 71706\n93358 100000\n56765 85149\n24812 37388\n62638 93952\n9480 14264\n48133 72283\n20960 31597\n2103 3192\n20306 30616\n88000 100000\n27739 41777\n73632 100000\n25140 37885\n37646 56639\n13301 20028\n51633 77516\n30840 46453\n65033 97545\n59169 88774\n78953 100000\n21498 32399\n9355 14074\n12767 19231\n52813 79237\n88597 100000\n98979 100000\n71284 100000\n74876 100000\n19247 28998\n1075 1643\n59519 89295\n54260 81422\n58173 87272\n94254 100000\n73977 100000\n79581 100000\n86824 100000\n92066 100000\n98768 100000\n65417 98126\n82871 100000\n37565 56516\n33285 50095\n8568 12889\n45271 68005\n66355 99563\n52316 78515\n74555 100000\n25074 37788\n58949 88444\n54778 82186\n12957 19506\n31112 46859\n5747 8638\n43518 65400\n52068 78149\n91697 100000\n54214 81354\n64406 96592\n2756 4169\n10951 16477\n96677 100000\n62234 93355\n46075 69217\n34761 52283\n70797 100000\n98150 100000\n92108 100000\n82303 100000\n49894 74890\n56343 84513\n53765 80673\n13176 19842\n24419 36826\n92766 100000\n2457 3713\n31676 47715\n41223 61985\n59280 88942\n70399 100000\n37566 56518\n78833 100000\n13036 19627\n68586 100000\n3321 5018\n62138 93200\n87798 100000\n50310 75524\n63632 95435\n9693 14596\n73530 100000\n19215 28949\n39534 59463\n55728 83600\n82309 100000\n92103 100000\n73597 100000\n9016 13568\n13077 19694\n30587 46073\n4328 6504\n38138 57378\n59332 89030\n60504 90771\n39040 58721\n67609 100000\n91009 100000\n16020 24141\n16080 24235\n55614 83431\n24342 36710\n90801 100000\n77921 100000\n49489 74298\n63419 95120\n8696 13087\n98600 100000\n68216 100000\n13338 20083\n57078 85603\n51438 77216\n79147 100000\n15221 22933\n74348 100000\n25883 38990\n81755 100000\n45350 68128\n53399 80115\n36794 55366\n76834 100000\n45720 68693\n85063 100000\n44970 67561\n57512 86272\n21987 33141\n53570 80374\n36929 55572\n55144 82725\n90528 100000\n54475 81727\n99955 100000\n33506 50413\n54280 81449\n638 978\n46049 69176\n68933 100000\n47062 70668\n22758 34310\n56034 84064\n63978 95958\n77330 100000\n47219 70897\n54774 82181\n75432 100000\n22191 33460\n739 1136\n28969 43649\n10208 15364\n75426 100000\n67643 100000\n78459 100000\n55085 82638\n83179 100000\n64379 96548\n69777 100000\n73274 100000\n22312 33640\n56509 84768\n49131 73760\n51153 76799\n5764 8663\n84109 100000\n81224 100000\n18044 27183\n43802 65835\n10132 15258\n9167 13787\n97080 100000\n2367 3586\n30161 45436\n25118 37849\n90755 100000\n17582 26492\n43541 65437\n75942 100000\n53218 79846\n92126 100000\n31291 47119\n2411 3642\n48985 73539\n84748 100000\n4094 6145\n42178 63403\n45431 68243\n85527 100000\n70952 100000\n31610 47617\n95634 100000\n31476 47400\n20481 30889\n65449 98170\n77536 100000\n99236 100000\n23956 36111\n88970 100000\n37612 56589\n41480 62359\n85873 100000\n1303 1984\n88958 100000\n27646 41641\n28816 43427\n85942 100000\n60932 91403\n89531 100000\n18471 27827\n46888 70414\n5042 7576\n80121 100000\n51600 77465\n31763 47839\n46271 69502\n39127 58855\n39194 58957\n80399 100000\n7740 11633\n5280 7929\n70568 100000\n81498 100000\n88670 100000\n94496 100000\n62070 93092\n13414 20203\n56184 84270\n25038 37734\n13706 20646\n62061 93079\n6175 9281\n83121 100000\n20168 30418\n46307 69555\n42292 63568\n39105 58821\n27607 41582\n70938 100000\n62766 94141\n69415 100000\n49352 74091\n91021 100000\n19426 29282\n29851 44961\n64052 96078\n31202 46995\n59848 89795\n66932 100000\n82507 100000\n81506 100000\n49087 73690\n87983 100000\n80078 100000\n94611 100000\n80306 100000\n42735 64228\n91688 100000\n26606 40055\n23314 35151\n50501 75812\n21325 32136\n88770 100000\n42418 63757\n32328 48679\n47044 70641\n27248 41030\n64404 96588\n5269 7912\n9428 14185\n23267 35070\n44636 67053\n76802 100000\n56333 84497\n9745 14673\n93219 100000\n13038 19631\n10016 15082\n5395 8102\n94289 100000\n85990 100000\n51039 76621\n36260 54531\n81412 100000\n67510 100000\n25361 38211\n20761 31304\n71971 100000\n93333 100000\n75860 100000\n9471 14251\n25727 38755\n42385 63706\n65566 98352\n27753 41802\n4757 7143\n8007 12038\n74590 100000\n59552 89347\n95567 100000\n19059 28706\n70519 100000\n76974 100000\n88474 100000\n95368 100000\n56252 84369\n46099 69254\n44728 67194\n68267 100000\n42930 64520\n9205 13843\n18087 27253\n95717 100000\n61981 92960\n95724 100000\n60073 90129\n67075 100000\n57124 85671\n38406 57783\n46431 69741\n52691 79054\n62265 93401\n21423 32281\n92329 100000\n3155 4769\n93735 100000\n79471 100000\n66084 99145\n51440 77220\n3055 4615\n68468 100000\n69254 100000\n4872 7319\n3558 5371\n35701 53697\n47056 70658\n22572 34030\n98253 100000\n62984 94468\n38385 57753\n71903 100000\n31624 47639\n53115 79697\n65178 97758\n31040 46747\n44341 66613\n42445 63792\n85628 100000\n90938 100000\n41817 62863\n63363 95035\n72219 100000\n15573 23465\n86330 100000\n14917 22486\n94118 100000\n53486 80244\n95975 100000\n56572 84865\n81143 100000\n64633 96938\n68783 100000\n5919 8895\n82982 100000\n89415 100000\n16076 24230\n14150 21328\n82129 100000\n1555 2369\n49073 73669\n57566 86358\n39921 60054\n265 405\n5257 7892\n84620 100000\n70441 100000\n77390 100000\n89236 100000\n43769 65787\n67781 100000\n76447 100000\n34581 52010\n51256 76944\n89866 100000\n73774 100000\n38336 57679\n95663 100000\n46890 70417\n35067 52749\n46194 69393\n28999 43692\n42668 64128\n27978 42139\n52234 78389\n47756 71709\n47724 71659\n43100 64777\n35597 53544\n57255 85870\n83304 100000\n81762 100000\n95020 100000\n39910 60036\n61858 92777\n61721 92566\n43049 64698\n85623 100000\n85337 100000\n89656 100000\n61279 91916\n5116 7684\n80076 100000\n10782 16227\n99461 100000\n68748 100000\n94823 100000\n73193 100000\n79772 100000\n14867 22413\n25990 39143\n95195 100000\n79944 100000\n3511 5306\n29866 44985\n21204 31952\n46454 69776\n69285 100000\n75592 100000\n98434 100000\n89161 100000\n79777 100000\n11976 18046\n92877 100000\n69131 100000\n29106 43854\n63456 95174\n31910 48058\n72914 100000\n69917 100000\n36252 54519\n63954 95921\n44476 66812\n20463 30859\n83060 100000\n29933 45087\n46940 70491\n46135 69308\n26067 39260\n41474 62350\n84203 100000\n86947 100000\n72370 100000\n79470 100000\n35498 53394\n13277 19994\n6217 9342\n32933 49580\n12253 18455\n95748 100000\n15037 22659\n36084 54271\n96837 100000\n63019 94522\n84972 100000\n89202 100000\n14386 21681\n68829 100000\n45187 67884\n92927 100000\n33108 49832\n59000 88524\n91973 100000\n69590 100000\n82880 100000\n64939 97405\n49147 73785\n74291 100000\n87487 100000\n84784 100000\n42250 63512\n60590 90895\n73732 100000\n34040 51213\n58914 88390\n44268 66506\n69853 100000\n52208 78348\n81447 100000\n17381 26200\n99641 100000\n14588 21989\n74840 100000\n89084 100000\n55515 83283\n99534 100000\n28480 42906\n1900 2891\n82919 100000\n91280 100000\n4433 6663\n97747 100000\n42694 64165\n56854 85277\n56106 84162\n40909 61513\n13160 19818\n71500 100000\n46613 70012\n56340 84508\n79160 100000\n66915 100000\n18820 28349\n58120 87193\n40068 60271\n21974 33126\n48906 73425\n37775 56837\n37581 56540\n78308 100000\n65412 98118\n99476 100000\n53144 79739\n53524 80303\n94243 100000\n63738 95596\n34765 52288\n79964 100000\n63869 95793\n88261 100000\n96253 100000\n33854 50930\n79997 100000\n81947 100000\n83486 100000\n88316 100000\n94656 100000\n28903 43553\n18969 28568\n50694 76097\n38650 58143\n18651 28100\n24582 37055\n13083 19703\n84068 100000\n18625 28061\n21837 32916\n98698 100000\n3552 5364\n22344 33691\n79921 100000\n53858 80815\n46731 70172\n19246 28997\n34123 51328\n43020 64656\n36384 54731\n14530 21904\n31891 48031\n38877 58477\n54421 81653\n61049 91571\n66088 99150\n92953 100000\n59507 89282\n56123 84186\n88472 100000\n92680 100000\n48193 72379\n34247 51505\n51073 76670\n76174 100000\n24791 37361\n96651 100000\n39643 59633\n68870 100000\n36748 55297\n86453 100000\n26912 40531\n80128 100000\n80620 100000\n82826 100000\n39086 58792\n20678 31185\n6394 9608\n18127 27311\n53261 79905\n23198 34965\n92810 100000\n18444 27783\n23499 35441\n16919 25507\n53897 80877\n53755 80659\n76470 100000\n61737 92592\n41431 62283\n16033 24163\n70531 100000\n12757 19219\n35486 53376\n89324 100000\n37462 56369\n88203 100000\n77084 100000\n56387 84586\n69469 100000\n53068 79627\n8382 12604\n94124 100000\n47774 71738\n9362 14085\n59497 89266\n73194 100000\n88292 100000\n98414 100000\n56878 85315\n97489 100000\n95647 100000\n15150 22826\n38212 57491\n35939 54051\n96785 100000\n26825 40398\n25352 38197\n67400 100000\n72806 100000\n56071 84113\n19669 29653\n52782 79193\n98083 100000\n30481 45916\n23846 35948\n74174 100000\n15456 23282\n49492 74303\n83339 100000\n52504 78787\n47811 71796\n23244 35033\n8347 12550\n19425 29281\n77424 100000\n82136 100000\n33281 50088\n78755 100000\n36338 54658\n86625 100000\n32065 48281\n5951 8944\n54736 82121\n75127 100000\n61515 92251\n24062 36279\n48276 72495\n15913 23987\n67008 100000\n92040 100000\n19730 29746\n55885 83842\n10510 15816\n2738 4143\n49006 73568\n84085 100000\n98479 100000\n38536 57968\n42423 63764\n51610 77480\n70422 100000\n11759 17724\n5048 7586\n84668 100000\n51854 77840\n70202 100000\n10059 15148\n6386 9595\n62546 93812\n22038 33219\n18363 27661\n72228 100000\n74162 100000\n6020 9052\n93601 100000\n29572 44540\n89056 100000\n96857 100000\n61664 92480\n10030 15101\n60008 90036\n43218 64956\n5855 8795\n94761 100000\n87901 100000\n26787 40343\n77929 100000\n3603 5434\n13951 21030\n75846 100000\n42276 63545\n36393 54744\n88320 100000\n86880 100000\n69702 100000\n93704 100000\n65791 98695\n68734 100000\n9879 14873\n70353 100000\n84695 100000\n39197 58962\n56565 84855\n57850 86779\n62351 93528\n84403 100000\n1410 2162\n29993 45180\n44277 66521\n48353 72604\n92974 100000\n5029 7553\n95890 100000\n56155 84230\n4455 6699\n38562 58007\n92512 100000\n59103 88675\n89507 100000\n57417 86130\n48715 73141\n21142 31865\n36854 55457\n67375 100000\n1273 1939\n95881 100000\n68750 100000\n47281 70995\n87339 100000\n52204 78342\n90928 100000\n8711 13109\n27637 41627\n28300 42634\n66070 99122\n9349 14065\n94595 100000\n52344 78554\n32705 49241\n31960 48127\n73536 100000\n73873 100000\n24171 36439\n98885 100000\n64885 97329\n79922 100000\n33121 49850\n91614 100000\n64369 96536\n30651 46167\n22994 34665\n64651 96965\n20304 30612\n42145 63360\n73639 100000\n54066 81132\n47671 71579\n43304 65090\n58147 87235\n16172 24377\n21409 32259\n18721 28202\n69087 100000\n71097 100000\n20782 31334\n9611 14470\n70670 100000\n52398 78634\n23423 35325\n6981 10479\n37653 56647\n30917 46572\n76256 100000\n41716 62712\n1297 1975\n51557 77398\n41217 61974\n39514 59431\n87020 100000\n26538 39963\n16768 25272\n51342 77072\n46676 70102\n18464 27815\n18746 28238\n79167 100000\n76282 100000\n6203 9324\n6022 9055\n39002 58666\n7470 11225\n52442 78695\n45268 68000\n43060 64715\n21571 32515\n41733 62737\n48391 72662\n58781 88195\n49998 75042\n30641 46152\n8124 12218\n33555 50482\n96307 100000\n12139 18282\n10958 16489\n83936 100000\n99633 100000\n8147 12253\n21457 32336\n72666 100000\n5136 7711\n69824 100000\n37119 55853\n19694 29690\n66423 99665\n42329 63618\n5543 8321\n88563 100000\n21747 32786\n61680 92503\n55991 83998\n15210 22916\n82535 100000\n87615 100000\n72059 100000\n38528 57956\n67251 100000\n44240 66467\n26772 40323\n75346 100000\n54171 81291\n54765 82170\n84509 100000\n75953 100000\n25780 38837\n91948 100000\n85683 100000\n81201 100000\n3916 5885\n17335 26136\n25997 39152\n39281 59083\n63244 94855\n43111 64797\n95937 100000\n31144 46907\n10274 15467\n73522 100000\n34802 52343\n23240 35028\n32079 48301\n80372 100000\n92919 100000\n40900 61499\n83387 100000\n86477 100000\n19896 30004\n804 1238\n77583 100000\n53836 80781\n54708 82080\n8067 12132\n94288 100000\n18442 27779\n35312 53114\n78318 100000\n14701 22165\n17929 27019\n27503 41421\n18636 28077\n52004 78062\n84734 100000\n96317 100000\n48249 72457\n35749 53772\n46508 69855\n21530 32447\n15122 22792\n38629 58113\n25965 39109\n82133 100000\n71432 100000\n41454 62319\n6207 9330\n56310 84462\n60538 90816\n29041 43758\n20107 30322\n45358 68140\n93529 100000\n14910 22476\n32073 48293\n75560 100000\n6322 9502\n99516 100000\n87881 100000\n3896 5858\n80425 100000\n46269 69500\n77716 100000\n52926 79406\n23014 34694\n95969 100000\n13475 20297\n94183 100000\n20389 30744\n78962 100000\n74834 100000\n89988 100000\n84473 100000\n38829 58401\n23825 35915\n15034 22655\n32063 48278\n65106 97653\n68928 100000\n83491 100000\n99667 100000\n12266 18476\n66228 99365\n5233 7855\n19950 30091\n17041 25690\n80133 100000\n15836 23875\n29531 44476\n57748 86630\n87550 100000\n73593 100000\n62235 93356\n59446 89193\n10539 15857\n87857 100000\n66263 99423\n89747 100000\n79324 100000\n6345 9537\n17271 26043\n75573 100000\n51120 76743\n21033 31704\n17486 26355\n84631 100000\n57571 86367\n91699 100000\n851 1308\n45074 67715\n45599 68504\n16934 25529\n82448 100000\n47399 71171\n65365 98045\n95454 100000\n65862 98803\n92206 100000\n91076 100000\n31030 46730\n17778 26790\n53900 80882\n88464 100000\n82169 100000\n4287 6441\n11649 17553\n60343 90529\n35059 52738\n17180 25907\n78147 100000\n52362 78579\n71681 100000\n65462 98189\n55856 83797\n35446 53314\n30947 46616\n7048 10579\n66138 99229\n91807 100000\n49388 74146\n14966 22558\n24138 36392\n65316 97964\n13042 19638\n36125 54332\n35558 53484\n78526 100000\n45583 68480\n61396 92082\n56841 85259\n53338 80017\n3775 5685\n68905 100000\n28743 43316\n54331 81523\n5811 8732\n55989 83995\n18772 28278\n34864 52440\n4333 6512\n15335 23102\n91756 100000\n5217 7827\n39454 59346\n17334 26135\n63618 95418\n73388 100000\n18390 27698\n94002 100000\n62585 93873\n87272 100000\n8444 12697\n76415 100000\n67864 100000\n27011 40676\n49324 74050\n4827 7253\n82613 100000\n87756 100000\n88526 100000\n85395 100000\n97701 100000\n55747 83629\n23113 34836\n92350 100000\n94667 100000\n50903 76416\n76440 100000\n56288 84425\n4419 6640\n35046 52718\n39880 59990\n31210 47006\n46359 69632\n84168 100000\n12673 19093\n14535 21912\n84087 100000\n1622 2471\n55977 83977\n84055 100000\n56510 84769\n55770 83665\n68082 100000\n89963 100000\n94122 100000\n76654 100000\n85685 100000\n86578 100000\n685 1051\n98064 100000\n7787 11701\n34691 52180\n45729 68706\n80853 100000\n43199 64928\n71271 100000\n2657 4019\n19437 29302\n74038 100000\n68297 100000\n90987 100000\n53035 79571\n84850 100000\n77133 100000\n89617 100000\n70992 100000\n56142 84214\n91867 100000\n12387 18661\n26046 39231\n10390 15641\n21505 32410\n78894 100000\n90205 100000\n1666 2537\n44455 66783\n98756 100000\n96118 100000\n17732 26719\n46866 70378\n24389 36781\n33977 51115\n66587 99907\n63890 95828\n70785 100000\n14462 21804\n15044 22668\n73353 100000\n82037 100000\n4010 6024\n65056 97579\n95348 100000\n36961 55617\n47250 70948\n59855 89805\n66316 99507\n23534 35487\n25329 38164\n64549 96811\n71548 100000\n34447 51816\n90067 100000\n75777 100000\n67265 100000\n27765 41820\n71557 100000\n90020 100000\n81748 100000\n30842 46456\n52796 79216\n97729 100000\n8502 12787\n451 695\n14073 21210\n83606 100000\n71785 100000\n99206 100000\n89172 100000\n6239 9377\n92191 100000\n52230 78381\n40101 60316\n82374 100000\n93137 100000\n94562 100000\n97960 100000\n20544 30987\n86704 100000\n41276 62063\n48195 72381\n47102 70736\n90687 100000\n39219 58992\n57425 86143\n61274 91906\n6760 10161\n54555 81848\n63405 95100\n67327 100000\n98319 100000\n88145 100000\n14183 21376\n95877 100000\n86757 100000\n66557 99861\n27265 41057\n36672 55177\n77449 100000\n45680 68634\n52680 79041\n87928 100000\n99881 100000\n25926 39052\n29178 43959\n11108 16717\n78501 100000\n65097 97640\n59613 89440\n45697 68659\n96978 100000\n12871 19375\n83723 100000\n94892 100000\n4790 7197\n54892 82350\n80228 100000\n44028 66162\n6873 10323\n71415 100000\n71837 100000\n58491 87755\n76246 100000\n85234 100000\n93785 100000\n28913 43568\n51813 77782\n32828 49417\n78550 100000\n2574 3896\n39650 59642\n91488 100000\n60005 90031\n67027 100000\n95525 100000\n99931 100000\n53390 80099\n92924 100000\n18296 27564\n60498 90762\n40725 61244\n64457 96665\n94803 100000\n52739 79124\n58199 87308\n44159 66346\n16501 24868\n59907 89886\n83663 100000\n49775 74718\n70096 100000\n61635 92433\n36156 54379\n6975 10470\n28092 42311\n77261 100000\n25944 39078\n35296 53092\n31558 47530\n42303 63583\n21345 32166\n90055 100000\n97598 100000\n41476 62352\n42986 64610\n20043 30229\n45652 68590\n4150 6227\n96038 100000\n88780 100000\n20700 31217\n27883 41998\n99905 100000\n26786 40341\n71396 100000\n73424 100000\n78317 100000\n80968 100000\n40176 60425\n78160 100000\n35972 54103\n38959 58603\n85991 100000\n75195 100000\n23905 36038\n22505 33931\n70464 100000\n46859 70369\n10151 15285\n2518 3810\n82131 100000\n43262 65023\n59453 89203\n71686 100000\n74501 100000\n86398 100000\n48974 73522\n40490 60894\n13438 20237\n10061 15151\n61492 92220\n64094 96143\n91866 100000\n86681 100000\n63851 95769\n63753 95622\n82814 100000\n77009 100000\n82546 100000\n49957 74980\n75749 100000\n18401 27714\n6495 9763\n45757 68745\n12898 19418\n78470 100000\n98578 100000\n9622 14487\n64216 96322\n6844 10281\n70964 100000\n8112 12199\n22642 34140\n2104 3193\n71558 100000\n66709 100000\n59517 89292\n48925 73455\n39015 58686\n84178 100000\n91335 100000\n19515 29415\n5492 8242\n10107 15217\n60535 90812\n29078 43810\n96355 100000\n19808 29864\n3140 4745\n68993 100000\n25892 39003\n24972 37632\n16647 25088\n84666 100000\n54428 81664\n47976 72045\n28302 42637\n53611 80435\n39415 59286\n81242 100000\n10538 15855\n44840 67361\n65507 98263\n80518 100000\n52953 79451\n27077 40775\n47569 71427\n7713 11594\n99724 100000\n79762 100000\n13553 20420\n99921 100000\n39859 59956\n91247 100000\n22625 34117\n68174 100000\n83134 100000\n85699 100000\n11281 16985\n2985 4511\n41977 63113\n78888 100000\n89803 100000\n968 1481\n6696 10060\n12424 18714\n87172 100000\n75365 100000\n55267 82908\n94147 100000\n41499 62389\n89895 100000\n41727 62728\n55529 83302\n47232 70920\n22182 33446\n95516 100000\n12004 18088\n17526 26412\n22200 33473\n22649 34150\n97819 100000\n30988 46670\n4689 7039\n25340 38181\n32623 49120\n69443 100000\n71998 100000\n1166 1784\n48221 72416\n75732 100000\n56139 84210\n68086 100000\n16155 24347\n12885 19397\n68592 100000\n78101 100000\n85470 100000\n54720 82098\n69899 100000\n7344 11032\n27860 41961\n38278 57595\n36948 55599\n90885 100000\n34049 51227\n25439 38330\n78023 100000\n98913 100000\n19888 29992\n90418 100000\n6101 9174\n74272 100000\n5920 8896\n91321 100000\n30115 45365\n57831 86750\n47637 71525\n72382 100000\n8275 12440\n1852 2821\n15072 22711\n95718 100000\n11095 16697\n59073 88631\n32050 48260\n63308 94951\n47787 71758\n12414 18699\n13268 19982\n56727 85095\n1435 2198\n1483 2272\n90276 100000\n29057 43782\n8169 12286\n9391 14127\n10381 15626\n10192 15343\n75655 100000\n13879 20910\n23844 35945\n86549 100000\n2611 3950\n2168 3285\n82622 100000\n67634 100000\n1602 2443\n84380 100000\n89867 100000\n98655 100000\n28348 42712\n54672 82027\n42821 64354\n53930 80926\n20778 31329\n52251 78416\n16652 25096\n9468 14246\n40718 61233\n37388 56253\n7512 11286\n59303 88980\n7063 10605\n48281 72501\n77268 100000\n47114 70755\n58863 88313\n75903 100000\n81087 100000\n73299 100000\n86605 100000\n60973 91461\n11480 17298\n73238 100000\n60241 90379\n71526 100000\n66366 99580\n16057 24201\n68511 100000\n19098 28769\n54853 82297\n9519 14330\n1095 1675\n90460 100000\n32161 48426\n28570 43050\n12024 18120\n67172 100000\n72921 100000\n35122 52829\n34878 52462\n19024 28652\n40956 61584\n1135 1734\n44679 67117\n44695 67142\n1093 1672\n7670 11528\n6717 10091\n39937 60076\n93635 100000\n22303 33626\n13854 20871\n271 415\n68939 100000\n41170 61903\n68464 100000\n78192 100000\n20577 31036\n59411 89145\n81259 100000\n39390 59251\n38424 57809\n65247 97858\n63043 94559\n84740 100000\n8980 13517\n47568 71426\n33823 50890\n94231 100000\n13281 20001\n4887 7346\n8150 12257\n16104 24271\n29600 44580\n73967 100000\n85443 100000\n75206 100000\n2294 3474\n96457 100000\n95178 100000\n52974 79481\n19620 29577\n44057 66201\n24890 37506\n45512 68365\n48110 72250\n56262 84383\n61247 91867\n33503 50408\n52000 78057\n9371 14097\n47450 71247\n88951 100000\n54746 82137\n16185 24398\n20787 31343\n59326 89020\n71641 100000\n33278 50084\n42895 64465\n88440 100000\n87803 100000\n10875 16367\n14165 21350\n57521 86285\n67293 100000\n81982 100000\n86514 100000\n41524 62426\n99347 100000\n68989 100000\n88097 100000\n87383 100000\n48764 73217\n69744 100000\n92545 100000\n88922 100000\n26189 39446\n39393 59256\n81851 100000\n32585 49065\n46922 70461\n21561 32498\n72028 100000\n95638 100000\n31526 47479\n89369 100000\n75569 100000\n47011 70595\n61119 91671\n4065 6106\n68650 100000\n62127 93180\n96127 100000\n36487 54890\n85012 100000\n35082 52770\n60862 91301\n40546 60979\n29986 45168\n77517 100000\n20894 31502\n42211 63456\n49844 74818\n89169 100000\n52646 78991\n49613 74477\n87212 100000\n43721 65713\n141 213\n41839 62899\n35347 53167\n64687 97021\n1660 2528\n16124 24299\n42530 63925\n7176 10776\n94236 100000\n72646 100000\n78873 100000\n75095 100000\n48780 73240\n33161 49907\n30303 45647\n15888 23950\n46753 70208\n22839 34430\n78392 100000\n16676 25130\n82895 100000\n5084 7635\n13223 19915\n60672 91016\n71125 100000\n87049 100000\n77473 100000\n7423 11156\n86008 100000\n22913 34544\n29302 44148\n96594 100000\n15357 23133\n16893 25467\n83903 100000\n47701 71624\n56523 84791\n56649 84980\n51971 78012\n50135 75256\n48211 72403\n84158 100000\n34806 52349\n36629 55111\n62797 94189\n91885 100000\n11471 17281\n90060 100000\n69299 100000\n87178 100000\n58197 87306\n76396 100000\n81418 100000\n35102 52802\n63667 95486\n15860 23911\n46162 69345\n51707 77628\n70072 100000\n44948 67529\n995 1519\n46786 70259\n25389 38253\n40658 61146\n32963 49620\n72233 100000\n56533 84807\n81575 100000\n86139 100000\n99748 100000\n15667 23614\n35367 53199\n78372 100000\n691 1059\n51094 76699\n24280 36616\n66155 99256\n13569 20444\n44214 66432\n94517 100000\n58124 87199\n57986 86990\n8057 12115\n46445 69761\n80919 100000\n80561 100000\n99956 100000\n90282 100000\n48806 73276\n95436 100000\n92228 100000\n40356 60697\n95495 100000\n56099 84151\n84404 100000\n89636 100000\n30606 46098\n39690 59703\n7469 11223\n9139 13745\n91469 100000\n6426 9655\n66365 99578\n91814 100000\n51459 77247\n84089 100000\n26185 39439\n665 1020\n87412 100000\n8749 13165\n17466 26323\n2599 3932\n52608 78939\n16097 24259\n17745 26741\n97390 100000\n53597 80414\n63414 95113\n8227 12373\n99538 100000\n35930 54039\n80634 100000\n91379 100000\n35510 53411\n75091 100000\n75437 100000\n89012 100000\n6955 10441\n30619 46118\n44943 67521\n27460 41355\n22170 33427\n81328 100000\n33604 50559\n11050 16628\n21544 32471\n74549 100000\n60419 90638\n42103 63295\n43018 64653\n76022 100000\n76500 100000\n30808 46409\n52072 78155\n27701 41722\n22851 34449\n72412 100000\n48666 73063\n59760 89663\n24834 37424\n12623 19018\n81604 100000\n4238 6363\n63981 95963\n55021 82542\n93944 100000\n15284 23029\n52721 79097\n98982 100000\n45948 69025\n38604 58074\n1514 2313\n87080 100000\n58203 87315\n71663 100000\n59392 89121\n50878 76377\n40157 60398\n19358 29175\n15809 23834\n99929 100000\n14202 21405\n95261 100000\n83719 100000\n85857 100000\n741 1140\n89852 100000\n10096 15199\n48930 73461\n47689 71606\n48118 72262\n44076 66231\n89658 100000\n53817 80752\n57306 85950\n96637 100000\n48608 72973\n20256 30549\n80553 100000\n89244 100000\n20908 31523\n21332 32147\n18138 27326\n9596 14451\n29270 44101\n77546 100000\n91691 100000\n20835 31415\n55696 83554\n95027 100000\n96487 100000\n49906 74904\n66118 99197\n61040 91559\n90673 100000\n60215 90338\n86765 100000\n22798 34370\n8252 12410\n10908 16415\n37757 56809\n72049 100000\n36800 55374\n77983 100000\n49569 74411\n30078 45310\n43465 65329\n11432 17222\n1046 1596\n94480 100000\n93420 100000\n10487 15780\n19893 29999\n88034 100000\n34014 51174\n57876 86822\n61202 91796\n2356 3569\n59154 88752\n32901 49532\n96715 100000\n29860 44976\n63184 94768\n29247 44064\n96216 100000\n91101 100000\n50280 75479\n90714 100000\n77736 100000\n59816 89748\n14197 21396\n47065 70673\n26107 39325\n82610 100000\n79505 100000\n87135 100000\n88651 100000\n73580 100000\n12949 19494\n30937 46601\n90299 100000\n1031 1573\n13565 20439\n91390 100000\n70148 100000\n89152 100000\n26925 40545\n71974 100000\n72054 100000\n23552 35513\n95741 100000\n20957 31593\n72024 100000\n4686 7035\n39448 59334\n77448 100000\n25181 37945\n93093 100000\n6098 9171\n79086 100000\n81071 100000\n29307 44155\n30170 45448\n88858 100000\n82034 100000\n88099 100000\n37534 56475\n1858 2830\n4813 7233\n51480 77281\n47978 72048\n64438 96639\n80797 100000\n47040 70635\n76743 100000\n30057 45280\n91014 100000\n44803 67305\n9214 13857\n40131 60364\n73018 100000\n14100 21254\n36065 54245\n91072 100000\n48411 72689\n94817 100000\n4254 6389\n66978 100000\n21699 32714\n32004 48188\n18017 27143\n27399 41268\n97115 100000\n38317 57649\n83856 100000\n99032 100000\n42929 64518\n73464 100000\n63455 95173\n66622 99966\n31271 47090\n22571 34028\n29248 44065\n58994 88513\n27046 40728\n4664 7004\n72322 100000\n2132 3233\n91555 100000\n57105 85644\n16696 25162\n47769 71731\n18092 27261\n62465 93699\n98478 100000\n90089 100000\n54040 81096\n65101 97645\n6237 9374\n89014 100000\n34510 51909\n88183 100000\n24531 36990\n83150 100000\n68836 100000\n93180 100000\n24499 36943\n38437 57828\n33074 49782\n3713 5591\n98774 100000\n94754 100000\n12789 19262\n68215 100000\n22233 33520\n53406 80124\n71204 100000\n16240 24482\n73075 100000\n11192 16844\n26540 39966\n69987 100000\n51063 76657\n33297 50111\n49867 74850\n86707 100000\n83982 100000\n97261 100000\n20556 31007\n7116 10684\n84511 100000\n63706 95546\n43473 65341\n15609 23521\n11724 17669\n93907 100000\n60404 90617\n59296 88969\n39822 59907\n32557 49026\n19948 30087\n55206 82817\n89171 100000\n6675 10033\n60397 90606\n1783 2713\n81500 100000\n43184 64905\n75895 100000\n19409 29256\n93528 100000\n1080 1651\n37025 55711\n58745 88141\n12853 19350\n38492 57910\n2993 4522\n94913 100000\n52627 78968\n35397 53243\n57624 86448\n71841 100000\n8093 12172\n98665 100000\n14313 21571\n55219 82836\n20507 30928\n77698 100000\n22508 33936\n54407 81633\n19917 30037\n52148 78264\n93061 100000\n17828 26865\n96746 100000\n20987 31636\n98652 100000\n43065 64722\n14853 22393\n16681 25138\n31355 47213\n24763 37321\n86869 100000\n79206 100000\n65929 98910\n23698 35728\n71435 100000\n24247 36564\n86780 100000\n19719 29728\n78270 100000\n80092 100000\n28581 43065\n44846 67370\n61620 92407\n76405 100000\n42982 64603\n53535 80322\n2351 3562\n92709 100000\n99704 100000\n35779 53817\n52957 79458\n94381 100000\n58277 87421\n16229 24466\n79834 100000\n9260 13929\n27909 42035\n21063 31749\n14421 21742\n18824 28354\n21778 32833\n91669 100000\n22062 33257\n56892 85334\n31120 46869\n77868 100000\n52184 78314\n96717 100000\n36488 54892\n34890 52482\n86329 100000\n42074 63247\n70978 100000\n64385 96556\n16193 24411\n21620 32592\n94468 100000\n39350 59189\n424 652\n17522 26407\n6486 9749\n6398 9613\n14943 22526\n49808 74765\n51703 77622\n9296 13988\n68988 100000\n9913 14927\n89599 100000\n9347 14061\n98914 100000\n80917 100000\n97370 100000\n21493 32390\n34526 51933\n14787 22291\n84255 100000\n86191 100000\n50513 75828\n30464 45891\n22905 34532\n61703 92539\n72340 100000\n13460 20275\n66064 99112\n55448 83177\n66673 100000\n7054 10589\n77754 100000\n59060 88611\n88227 100000\n64042 96061\n74783 100000\n95822 100000\n30234 45540\n34681 52163\n9903 14912\n46593 69982\n60905 91364\n84974 100000\n18253 27498\n99585 100000\n43461 65323\n83291 100000\n25457 38358\n49438 74224\n85203 100000\n56119 84180\n81520 100000\n84645 100000\n68189 100000\n10081 15180\n37432 56322\n24338 36703\n69316 100000\n25035 37730\n63169 94744\n64960 97437\n39791 59863\n94591 100000\n54648 81993\n51429 77202\n67937 100000\n71332 100000\n7432 11168\n86233 100000\n68698 100000\n36876 55489\n5380 8080\n40003 60174\n13766 20742\n46576 69958\n5330 8003\n30469 45898\n6133 9219\n41511 62406\n78724 100000\n27441 41330\n48717 73145\n76534 100000\n3304 4990\n10612 15964\n6781 10194\n55969 83966\n90423 100000\n45445 68265\n34044 51220\n52446 78700\n99249 100000\n46426 69733\n30676 46206\n34901 52499\n79652 100000\n50989 76546\n92631 100000\n46743 70194\n23869 35980\n41179 61916\n76457 100000\n95887 100000\n50388 75644\n70226 100000\n51107 76720\n99563 100000\n28272 42591\n95284 100000\n84859 100000\n11503 17332\n46865 70377\n85230 100000\n96617 100000\n98095 100000\n54165 81282\n9459 14230\n71275 100000\n75996 100000\n77934 100000\n41085 61779\n97386 100000\n8207 12343\n81819 100000\n21562 32499\n31654 47680\n83540 100000\n85754 100000\n21884 32987\n23577 35549\n67306 100000\n60357 90550\n1388 2125\n43205 64937\n17561 26462\n94740 100000\n73999 100000\n95376 100000\n31671 47706\n30798 46394\n61209 91805\n87816 100000\n58825 88260\n60577 90874\n66035 99066\n91506 100000\n87790 100000\n34624 52074\n76170 100000\n17551 26450\n61575 92340\n5930 8911\n7157 10744\n24334 36698\n68775 100000\n99462 100000\n36388 54737\n33146 49889\n50568 75914\n14670 22114\n86855 100000\n88673 100000\n65085 97621\n24460 36883\n35030 52694\n25645 38632\n52210 78352\n42217 63466\n67130 100000\n42914 64493\n49586 74435\n35821 53881\n80700 100000\n42138 63349\n52682 79044\n70338 100000\n93396 100000\n78518 100000\n9457 14227\n35298 53095\n42066 63237\n74241 100000\n32637 49138\n24410 36811\n6954 10440\n23882 35998\n41128 61843\n98992 100000\n98432 100000\n36420 54787\n42241 63500\n22484 33901\n63129 94685\n42300 63579\n77017 100000\n33797 50851\n43011 64643\n69863 100000\n61200 91793\n51496 77307\n76429 100000\n88 134\n21007 31669\n63938 95895\n46000 69101\n50323 75545\n11083 16678\n92242 100000\n67992 100000\n76093 100000\n48387 72655\n12918 19445\n53686 80549\n9657 14539\n54619 81948\n42566 63979\n3467 5238\n64047 96069\n13762 20736\n57253 85866\n26353 39690\n55413 83125\n10233 15402\n62366 93550\n2785 4213\n26550 39978\n23190 34953\n9448 14214\n91778 100000\n24881 37493\n68245 100000\n70214 100000\n92060 100000\n138 208\n93143 100000\n73009 100000\n31493 47427\n88982 100000\n27355 41198\n14952 22539\n66896 100000\n82946 100000\n7620 11453\n30437 45847\n5643 8472\n57982 86984\n23801 35877\n92641 100000\n91792 100000\n48907 73427\n55608 83422\n70451 100000\n6195 9311\n73095 100000\n72708 100000\n88142 100000\n65622 98435\n15593 23496\n70655 100000\n74039 100000\n43369 65191\n95597 100000\n32528 48984\n1636 2491\n24036 36238\n30284 45616\n66733 100000\n33636 50603\n37329 56158\n77850 100000\n26771 40321\n91601 100000\n3868 5816\n31854 47976\n6307 9477\n80212 100000\n15349 23120\n15810 23835\n75316 100000\n34856 52428\n72780 100000\n34887 52477\n22230 33515\n68985 100000\n10930 16444\n94518 100000\n90016 100000\n50908 76425\n19172 28880\n79462 100000\n82931 100000\n96993 100000\n43988 66107\n75945 100000\n22576 34037\n96078 100000\n43657 65614\n29698 44727\n7175 10774\n83580 100000\n35000 52648\n21483 32373\n11569 17433\n33475 50369\n26934 40559\n65442 98161\n77631 100000\n11554 17411\n80000 100000\n86183 100000\n26711 40226\n62976 94454\n50455 75748\n37042 55738\n4346 6529\n41966 63096\n9003 13551\n70304 100000\n49928 74936\n57941 86919\n10944 16466\n63977 95957\n11797 17776\n71234 100000\n47117 70759\n47384 71150\n25869 38970\n95276 100000\n38690 58201\n58837 88278\n72669 100000\n60088 90151\n72212 100000\n65446 98166\n7967 11975\n50128 75244\n58967 88471\n41442 62301\n44401 66704\n98867 100000\n43567 65478\n8431 12679\n50980 76532\n60972 91460\n42965 64575\n7823 11756\n41357 62176\n43219 64957\n29028 43735\n65731 98603\n68046 100000\n21107 31812\n45872 68911\n69865 100000\n48380 72645\n77138 100000\n74240 100000\n13756 20724\n39244 59027\n8923 13425\n3786 5702\n55354 83037\n32082 48306\n14109 21266\n42281 63553\n23410 35304\n45144 67819\n44488 66830\n29040 43757\n47423 71208\n37571 56527\n55777 83675\n18021 27149\n5499 8254\n40497 60904\n87963 100000\n82517 100000\n16726 25205\n13784 20766\n31212 47009\n47853 71860\n52421 78666\n91264 100000\n31214 47011\n47051 70650\n68040 100000\n13035 19625\n54592 81905\n40505 60916\n76687 100000\n26599 40045\n64834 97250\n81925 100000\n14306 21563\n75277 100000\n87900 100000\n29423 44317\n88271 100000\n36732 55270\n97361 100000\n66273 99437\n57503 86258\n93319 100000\n56583 84882\n5250 7881\n27856 41955\n89438 100000\n6362 9560\n24721 37259\n28905 43556\n35382 53222\n19139 28828\n73754 100000\n64587 96870\n51166 76820\n1656 2522\n87390 100000\n98795 100000\n17416 26254\n72529 100000\n47935 71984\n53114 79696\n809 1245\n56243 84355\n12837 19330\n76558 100000\n22314 33642\n65779 98677\n66495 99772\n16865 25423\n50454 75746\n18782 28292\n89545 100000\n99689 100000\n86541 100000\n79936 100000\n48150 72308\n86635 100000\n22896 34519\n90105 100000\n45330 68097\n31581 47566\n17166 25886\n19767 29804\n82470 100000\n84117 100000\n16993 25616\n79165 100000\n39308 59124\n92585 100000\n69683 100000\n82059 100000\n63238 94844\n24892 37510\n98311 100000\n85636 100000\n6581 9889\n82562 100000\n893 1371\n44497 66842\n74884 100000\n18346 27640\n97557 100000\n82653 100000\n41196 61942\n52823 79253\n31332 47177\n84239 100000\n77326 100000\n25422 38302\n10889 16387\n40491 60895\n83327 100000\n41702 62693\n14368 21652\n64080 96123\n5689 8541\n51345 77075\n15541 23415\n53298 79961\n99254 100000\n75682 100000\n69177 100000\n48783 73246\n44463 66794\n44766 67250\n95019 100000\n64743 97112\n79067 100000\n59136 88724\n18763 28266\n28778 43369\n20943 31573\n1829 2785\n60919 91385\n27790 41860\n72872 100000\n36572 55018\n48760 73212\n22090 33301\n92044 100000\n3138 4743\n59008 88535\n98586 100000\n60160 90253\n91757 100000\n53616 80441\n96246 100000\n95115 100000\n14019 21130\n54223 81366\n41339 62152\n4112 6174\n14620 22038\n71404 100000\n35357 53184\n74563 100000\n6602 9920\n63202 94792\n85571 100000\n33585 50528\n93032 100000\n53169 79776\n64634 96939\n39107 58824\n34696 52186\n76909 100000\n24437 36850\n38952 58590\n50851 76336\n89079 100000\n22912 34543\n9022 13576\n58501 87770\n77219 100000\n88125 100000\n21296 32093\n2882 4354\n19326 29127\n51690 77604\n9624 14490\n67391 100000\n44426 66741\n73994 100000\n73239 100000\n74977 100000\n2501 3782\n25372 38225\n10748 16180\n93639 100000\n36474 54871\n26970 40613\n31265 47081\n83346 100000\n65466 98196\n45462 68292\n95250 100000\n99658 100000\n58697 88064\n81427 100000\n37267 56064\n3680 5545\n30375 45752\n51713 77635\n72774 100000\n17865 26921\n26281 39584\n60687 91038\n53599 80418\n19339 29148\n26182 39435\n22047 33233\n43540 65435\n38805 58366\n98905 100000\n56253 84371\n90973 100000\n30211 45508\n31522 47473\n57817 86728\n97198 100000\n80065 100000\n38937 58568\n62598 93892\n71844 100000\n18379 27680\n30681 46214\n9133 13735\n1645 2505\n38868 58461\n85581 100000\n70150 100000\n61380 92058\n12573 18939\n27525 41455\n80568 100000\n68131 100000\n11116 16729\n33066 49771\n61986 92967\n1039 1585\n8163 12278\n71908 100000\n8860 13335\n68080 100000\n96535 100000\n68381 100000\n81220 100000\n92978 100000\n82908 100000\n96942 100000\n65151 97719\n55491 83245\n92003 100000\n91406 100000\n92497 100000\n6872 10321\n53453 80195\n94811 100000\n91788 100000\n94457 100000\n30885 46524\n14212 21422\n84857 100000\n31711 47767\n6870 10318\n70671 100000\n51754 77700\n62887 94319\n80139 100000\n43390 65221\n6003 9022\n96174 100000\n12613 19003\n45453 68280\n71433 100000\n72807 100000\n20213 30484\n42822 64355\n69845 100000\n37841 56932\n59091 88655\n39789 59861\n15825 23858\n73739 100000\n38339 57684\n28571 43052\n88596 100000\n82447 100000\n37817 56894\n23955 36109\n76513 100000\n43254 65014\n88488 100000\n17324 26119\n8918 13418\n51139 76777\n76341 100000\n19042 28683\n64208 96310\n71677 100000\n88827 100000\n82290 100000\n73258 100000\n71831 100000\n86729 100000\n4878 7329\n89228 100000\n51762 77709\n33836 50909\n68760 100000\n20254 30546\n55996 84005\n39428 59304\n6379 9583\n7528 11312\n63919 95866\n52431 78681\n1696 2582\n10800 16255\n66056 99099\n38209 57487\n72647 100000\n30574 46054\n26770 40320\n88345 100000\n51135 76770\n4325 6500\n7855 11808\n96496 100000\n12551 18906\n10957 16487\n81109 100000\n95720 100000\n91304 100000\n58634 87966\n43387 65216\n18652 28102\n33982 51121\n60917 91382\n7627 11465\n16942 25541\n13003 19578\n76006 100000\n56743 85117\n30596 46085\n35991 54131\n49794 74745\n59216 88850\n69080 100000\n38360 57713\n7928 11916\n53859 80817\n92588 100000\n47666 71571\n73795 100000\n26278 39579\n36159 54382\n76888 100000\n12320 18556\n24348 36718\n18579 27992\n75849 100000\n37825 56907\n79441 100000\n4692 7044\n22291 33610\n60429 90654\n44442 66763\n34534 51944\n44613 67020\n73615 100000\n98570 100000\n56062 84101\n36444 54824\n30134 45396\n91659 100000\n78020 100000\n46218 69426\n32911 49548\n47162 70819\n3539 5344\n76382 100000\n61347 92008\n48603 72966\n50855 76342\n67318 100000\n32132 48380\n60951 91431\n31684 47729\n38130 57366\n51965 78005\n18408 27723\n84799 100000\n14796 22303\n823 1264\n78125 100000\n26773 40324\n29749 44808\n79710 100000\n56224 84330\n44756 67236\n64740 97107\n65637 98455\n80584 100000\n16063 24211\n65142 97706\n64296 96437\n77605 100000\n15441 23256\n49801 74756\n63616 95414\n49130 73759\n75758 100000\n79177 100000\n92363 100000\n77977 100000\n17595 26514\n95040 100000\n75688 100000\n6787 10201\n62782 94163\n82418 100000\n47244 70938\n86447 100000\n83324 100000\n80224 100000\n21942 33077\n44847 67372\n80711 100000\n50653 76035\n49373 74121\n82580 100000\n52807 79230\n40993 61639\n70308 100000\n38043 57237\n92754 100000\n78633 100000\n6524 9807\n82837 100000\n80440 100000\n16262 24514\n30501 45946\n94068 100000\n79519 100000\n72569 100000\n98243 100000\n11570 17435\n42092 63275\n62102 93139\n74741 100000\n37892 57010\n41343 62157\n13293 20016\n34004 51158\n45340 68112\n23351 35207\n12633 19034\n50220 75386\n16465 24812\n32145 48399\n65160 97732\n63485 95219\n28476 42899\n95508 100000\n62008 93002\n66542 99839\n15600 23508\n22769 34328\n70018 100000\n38962 58607\n73984 100000\n32569 49041\n24809 37383\n2569 3889\n31323 47163\n62820 94219\n27591 41554\n39618 59595\n79752 100000\n15314 23071\n4913 7384\n93957 100000\n16896 25472\n8640 13005\n42037 63196\n25500 38426\n23951 36104\n21717 32740\n2109 3201\n99326 100000\n83673 100000\n77393 100000\n77881 100000\n302 462\n12611 19000\n11678 17600\n43590 65512\n18391 27699\n47861 71871\n33553 50479\n67519 100000\n86598 100000\n14251 21482\n58350 87535\n19638 29602\n31318 47154\n71096 100000\n91502 100000\n78895 100000\n87294 100000\n82818 100000\n847 1303\n69407 100000\n88521 100000\n90239 100000\n21744 32781\n61188 91776\n76897 100000\n6932 10411\n24736 37283\n40599 61058\n75590 100000\n76935 100000\n11552 17407\n31455 47365\n97112 100000\n30819 46426\n99432 100000\n61670 92489\n36182 54420\n14114 21273\n83051 100000\n25895 39007\n63101 94644\n59537 89322\n96547 100000\n55098 82656\n24304 36650\n73563 100000\n60677 91026\n59921 89906\n80878 100000\n38097 57320\n1042 1589\n39979 60139\n6306 9475\n60331 90509\n85976 100000\n27268 41063\n19113 28790\n19145 28838\n73742 100000\n27750 41796\n31938 48098\n12255 18458\n43336 65137\n29138 43898\n31670 47705\n23660 35672\n81818 100000\n9077 13656\n84924 100000\n10869 16358\n10486 15778\n4199 6306\n96836 100000\n68848 100000\n11271 16972\n62995 94484\n90061 100000\n93042 100000\n81902 100000\n43836 65884\n7524 11305\n60802 91214\n94335 100000\n58217 87335\n65673 98511\n43979 66092\n10722 16136\n90614 100000\n80384 100000\n30905 46553\n48164 72331\n80310 100000\n2243 3398\n30328 45681\n73699 100000\n13307 20038\n62707 94054\n70485 100000\n66509 99792\n75148 100000\n96115 100000\n49432 74214\n24087 36316\n74092 100000\n27041 40721\n89230 100000\n62728 94085\n2529 3828\n57283 85912\n48601 72962\n15211 22917\n46801 70282\n97993 100000\n96945 100000\n67277 100000\n79096 100000\n3264 4933\n71946 100000\n30341 45700\n40247 60531\n97136 100000\n66401 99635\n75745 100000\n81146 100000\n43329 65127\n60365 90561\n9744 14672\n22860 34463\n84032 100000\n35206 52967\n55497 83252\n85304 100000\n55622 83441\n15981 24081\n72830 100000\n24805 37378\n13340 20087\n59499 89270\n13905 20951\n30323 45674\n30032 45237\n54734 82117\n57709 86575\n15599 23506\n61509 92244\n48513 72837\n72203 100000\n95303 100000\n83319 100000\n53639 80476\n52182 78311\n63193 94780\n27226 40998\n63783 95670\n48864 73364\n92920 100000\n38404 57781\n31853 47974\n97451 100000\n37627 56610\n68726 100000\n21486 32377\n32483 48917\n40922 61533\n88128 100000\n21575 32522\n26354 39692\n129 194\n84097 100000\n6157 9255\n18224 27455\n88848 100000\n88505 100000\n13902 20946\n74186 100000\n31768 47846\n56457 84686\n40206 60472\n83272 100000\n44083 66241\n2512 3801\n34256 51518\n33654 50633\n61082 91620\n26352 39689\n36427 54797\n66618 99959\n1295 1973\n24207 36498\n53500 80269\n89256 100000\n67869 100000\n25891 39001\n43300 65083\n70468 100000\n13754 20721\n25735 38765\n74454 100000\n42519 63907\n51709 77630\n5868 8815\n92489 100000\n30214 45511\n76593 100000\n17874 26936\n6148 9243\n25323 38155\n90483 100000\n89136 100000\n35015 52671\n95711 100000\n14836 22366\n41374 62200\n41915 63015\n91427 100000\n87502 100000\n74582 100000\n56264 84386\n1646 2507\n17605 26529\n40495 60901\n70592 100000\n15509 23365\n45226 67940\n52666 79020\n44577 66966\n60230 90361\n21082 31779\n23823 35912\n90953 100000\n4551 6845\n40063 60263\n69485 100000\n52952 79450\n89312 100000\n21 34\n97305 100000\n7553 11352\n59147 88739\n92405 100000\n86189 100000\n70140 100000\n6440 9678\n8976 13510\n75156 100000\n40046 60237\n90157 100000\n65141 97704\n13119 19758\n39140 58876\n43203 64934\n27654 41654\n45165 67852\n53994 81027\n66180 99291\n74773 100000\n42651 64104\n35727 53739\n65234 97839\n73540 100000\n44513 66863\n33256 50053\n45925 68991\n73115 100000\n25554 38504\n23639 35640\n75748 100000\n31557 47528\n84237 100000\n63999 95992\n27168 40910\n41547 62459\n90717 100000\n83541 100000\n58022 87044\n13187 19859\n16212 24439\n33847 50922\n10881 16376\n35004 52655\n48685 73093\n13777 20756\n10673 16058\n6805 10224\n98782 100000\n57695 86555\n56794 85189\n43374 65197\n56144 84217\n49296 74008\n96630 100000\n56408 84612\n21847 32933\n49115 73734\n7142 10724\n46747 70200\n30446 45861\n27513 41435\n84884 100000\n5186 7781\n81774 100000\n16990 25612\n28745 43320\n76112 100000\n48687 73096\n95263 100000\n45470 68303\n31657 47683\n66327 99522\n63731 95583\n84548 100000\n68165 100000\n16941 25539\n4347 6530\n29125 43878\n54593 81906\n70715 100000\n32970 49630\n43076 64739\n25898 39011\n19892 29997\n82521 100000\n72695 100000\n58444 87685\n46094 69248\n27149 40881\n21132 31848\n56877 85313\n98678 100000\n29475 44392\n21547 32476\n40999 61649\n16831 25371\n80929 100000\n27620 41601\n56902 85351\n91922 100000\n81228 100000\n54802 82223\n14384 21677\n65255 97872\n29140 43902\n55029 82553\n3272 4945\n42355 63658\n22089 33299\n52709 79079\n97783 100000\n40385 60737\n46661 70082\n48376 72638\n44617 67025\n34913 52518\n59533 89318\n82128 100000\n4366 6558\n77724 100000\n45829 68849\n5660 8498\n56650 84982\n65242 97849\n12201 18377\n73880 100000\n1978 3010\n96124 100000\n70336 100000\n18335 27625\n24117 36363\n73277 100000\n35472 53354\n69622 100000\n33116 49843\n18606 28033\n2564 3883\n15556 23437\n68211 100000\n27759 41812\n86924 100000\n13982 21076\n19154 28854\n25151 37901\n5134 7708\n46808 70294\n44926 67494\n90037 100000\n93069 100000\n63730 95581\n89740 100000\n37126 55863\n58371 87568\n5887 8844\n63913 95860\n46979 70547\n89009 100000\n86021 100000\n9920 14939\n62473 93712\n23347 35200\n24857 37456\n4636 6966\n58637 87971\n80979 100000\n30181 45462\n65094 97635\n81550 100000\n35548 53468\n54316 81501\n91095 100000\n19907 30022\n35718 53725\n64452 96657\n97509 100000\n51985 78033\n25168 37926\n97521 100000\n39433 59312\n79085 100000\n69340 100000\n56137 84207\n33673 50661\n48654 73046\n76700 100000\n63760 95634\n90530 100000\n86210 100000\n64458 96666\n11840 17841\n20073 30274\n67737 100000\n3686 5554\n53738 80630\n74918 100000\n22382 33747\n80234 100000\n68576 100000\n12021 18117\n13515 20361\n73521 100000\n31957 48123\n40855 61433\n15822 23854\n27242 41021\n24559 37024\n56005 84021\n14734 22216\n12171 18332\n57488 86236\n84388 100000\n86258 100000\n61944 92906\n98566 100000\n65567 98354\n28211 42498\n69394 100000\n97627 100000\n94725 100000\n49813 74772\n52020 78085\n1181 1805\n67423 100000\n8397 12629\n22070 33270\n52477 78746\n42605 64040\n74187 100000\n36886 55508\n36235 54497\n69758 100000\n30948 46618\n35052 52728\n15194 22892\n74380 100000\n33038 49731\n20111 30329\n95016 100000\n40868 61451\n33759 50794\n49266 73965\n56662 84997\n14045 21166\n76471 100000\n19869 29961\n86401 100000\n30120 45373\n67921 100000\n98431 100000\n42259 63524\n80630 100000\n57435 86157\n66511 99794\n18852 28392\n46467 69794\n53810 80741\n41344 62158\n77789 100000\n28826 43443\n52161 78282\n17833 26874\n90235 100000\n52883 79344\n50378 75626\n80601 100000\n39345 59184\n66576 99890\n15921 23998\n20266 30563\n36185 54426\n11100 16705\n74425 100000\n91873 100000\n48409 72685\n7125 10696\n48609 72974\n52824 79255\n62892 94327\n98300 100000\n77239 100000\n62204 93306\n35663 53647\n27662 41664\n65691 98537\n19904 30018\n94918 100000\n79996 100000\n59464 89219\n30110 45358\n50875 76372\n42900 64472\n43514 65395\n17222 25969\n19468 29346\n82664 100000\n27381 41240\n10799 16253\n50680 76076\n59939 89933\n77397 100000\n45544 68419\n36328 54640\n71106 100000\n1538 2345\n61223 91827\n72145 100000\n57881 86830\n63454 95171\n89031 100000\n20182 30433\n45719 68691\n6682 10042\n66357 99565\n2701 4087\n65112 97662\n26165 39409\n25400 38270\n32737 49285\n37619 56600\n14430 21757\n51003 76567\n56367 84552\n98694 100000\n67176 100000\n74315 100000\n70290 100000\n50296 75503\n97030 100000\n54949 82432\n28219 42509\n99258 100000\n33802 50860\n18942 28529\n74883 100000\n27664 41666\n75161 100000\n92462 100000\n65519 98281\n60491 90751\n41108 61813\n86388 100000\n3094 4677\n29975 45153\n27863 41967\n90383 100000\n45787 68789\n78028 100000\n46830 70329\n67540 100000\n93846 100000\n70063 100000\n69907 100000\n5460 8199\n14248 21477\n79095 100000\n90958 100000\n50571 75920\n60999 91499\n4808 7225\n67938 100000\n57135 85687\n82213 100000\n27473 41374\n7495 11262\n52971 79476\n31437 47340\n45306 68060\n60047 90090\n74219 100000\n82850 100000\n89536 100000\n86734 100000\n52434 78685\n95522 100000\n44685 67126\n43969 66078\n83413 100000\n58900 88368\n66479 99744\n52766 79168\n18566 27974\n66328 99524\n50249 75430\n31823 47926\n89144 100000\n55896 83862\n35194 52948\n72537 100000\n95283 100000\n66022 99046\n29509 44443\n90575 100000\n67014 100000\n95139 100000\n72194 100000\n86224 100000\n78452 100000\n67253 100000\n94459 100000\n37823 56903\n89282 100000\n54687 82049\n62551 93820\n16032 24162\n72104 100000\n63411 95109\n80846 100000\n10408 15666\n56799 85197\n55228 82850\n74766 100000\n43670 65634\n45816 68830\n92947 100000\n47132 70781\n31335 47182\n24041 36248\n74631 100000\n112 167\n75207 100000\n10732 16152\n83295 100000\n50048 75119\n70357 100000\n8631 12990\n74630 100000\n83643 100000\n26489 39894\n91552 100000\n15204 22908\n17469 26328\n22819 34401\n31073 46800\n65133 97693\n43545 65445\n67771 100000\n27825 41909\n21804 32871\n34191 51423\n44245 66473\n15004 22611\n56829 85239\n86324 100000\n10508 15814\n74750 100000\n23237 35024\n7934 11926\n56966 85444\n39507 59421\n97656 100000\n3324 5022\n91523 100000\n82247 100000\n93999 100000\n95439 100000\n60044 90086\n4413 6631\n69474 100000\n99552 100000\n40581 61031\n92848 100000\n27504 41422\n35398 53244\n13727 20678\n47585 71451\n53288 79945\n34501 51893\n29349 44218\n29737 44790\n45764 68756\n26750 40290\n30482 45917\n2559 3875\n15867 23923\n42573 63990\n86789 100000\n71128 100000\n90910 100000\n75828 100000\n81181 100000\n15242 22967\n44295 66546\n49469 74268\n34871 52451\n74836 100000\n75611 100000\n15346 23116\n82434 100000\n55381 83074\n52361 78578\n45593 68495\n27214 40980\n44530 66892\n81753 100000\n31167 46945\n56806 85206\n79610 100000\n22092 33304\n73566 100000\n25564 38518\n11261 16954\n15757 23751\n37104 55827\n77381 100000\n6842 10278\n6129 9213\n46566 69943\n68689 100000\n98854 100000\n81681 100000\n50982 76535\n87593 100000\n1085 1660\n19257 29011\n54185 81315\n46295 69536\n53603 80424\n88270 100000\n66857 100000\n27218 40985\n12834 19326\n80333 100000\n33653 50631\n33100 49821\n80794 100000\n30560 46031\n51472 77269\n90307 100000\n205 314\n66387 99612\n72300 100000\n55221 82839\n15711 23680\n67524 100000\n46433 69743\n78663 100000\n11830 17826\n71011 100000\n54514 81788\n7059 10597\n35803 53853\n83030 100000\n48936 73469\n22876 34488\n65511 98270\n82810 100000\n69377 100000\n14725 22202\n47482 71288\n80328 100000\n97758 100000\n39314 59132\n62791 94178\n60199 90311\n85548 100000\n24730 37273\n50498 75808\n80876 100000\n12536 18885\n69174 100000\n71462 100000\n6516 9794\n31082 46812\n84741 100000\n45759 68748\n14113 21272\n34673 52151\n60890 91342\n27101 40810\n2139 3244\n1599 2437\n8822 13279\n73246 100000\n86469 100000\n47522 71352\n88875 100000\n60312 90484\n36761 55317\n44415 66725\n81046 100000\n98291 100000\n55646 83477\n56207 84303\n23538 35492\n65067 97593\n64162 96240\n68942 100000\n49149 73788\n57441 86166\n84057 100000\n44045 66185\n89540 100000\n49493 74305\n88604 100000\n37530 56470\n45938 69010\n3269 4942\n79530 100000\n4941 7421\n26044 39228\n16167 24367\n47308 71034\n53885 80857\n5529 8300\n72258 100000\n43557 65464\n44555 66932\n94861 100000\n17684 26642\n12176 18340\n71608 100000\n28236 42534\n15142 22816\n16553 24948\n96388 100000\n32312 48657\n75167 100000\n53493 80256\n51500 77313\n71926 100000\n56432 84648\n66561 99867\n33619 50579\n68193 100000\n64430 96629\n62939 94398\n96086 100000\n51565 77410\n1544 2353\n48631 73006\n11615 17502\n75894 100000\n27294 41102\n25870 38972\n24378 36763\n48097 72227\n11952 18010\n88107 100000\n79367 100000\n40533 60959\n63410 95107\n84183 100000\n97796 100000\n48642 73025\n15984 24085\n88470 100000\n86452 100000\n22132 33371\n39213 58983\n1833 2790\n69769 100000\n63030 94537\n33217 49989\n31606 47610\n54396 81615\n61433 92134\n28335 42691\n18193 27409\n33492 50392\n11417 17205\n76280 100000\n63643 95450\n64582 96864\n74151 100000\n28248 42553\n67018 100000\n57161 85726\n99733 100000\n47128 70774\n26406 39771\n80907 100000\n31149 46917\n81805 100000\n89067 100000\n610 936\n37375 56231\n71836 100000\n97086 100000\n98810 100000\n24050 36261\n15227 22944\n8008 12039\n37645 56637\n88981 100000\n60425 90647\n7204 10817\n70928 100000\n9702 14611\n47387 71154\n39209 58977\n90579 100000\n58100 87161\n46144 69319\n34964 52594\n97421 100000\n4939 7418\n55878 83831\n26513 39929\n97101 100000\n18920 28494\n68157 100000\n85779 100000\n13291 20014\n81614 100000\n88682 100000\n4834 7262\n19265 29025\n23576 35548\n74935 100000\n1402 2150\n92637 100000\n18202 27424\n18200 27421\n68171 100000\n56148 84221\n68004 100000\n37336 56168\n50401 75665\n17409 26243\n98295 100000\n66993 100000\n75594 100000\n79560 100000\n72711 100000\n42773 64284\n99327 100000\n61832 92735\n44635 67052\n88265 100000\n2786 4215\n95095 100000\n46590 69979\n2305 3491\n86084 100000\n85047 100000\n65216 97816\n74913 100000\n15401 23199\n31897 48039\n54279 81448\n84578 100000\n82933 100000\n5284 7934\n34113 51315\n9113 13708\n82612 100000\n54652 81999\n22421 33805\n28645 43161\n83488 100000\n81948 100000\n73775 100000\n21813 32885\n28572 43054\n74389 100000\n15064 22700\n36669 55172\n88915 100000\n31293 47122\n80540 100000\n23512 35457\n34037 51208\n35781 53820\n79761 100000\n38652 58145\n4213 6326\n27727 41756\n38172 57432\n35963 54090\n19302 29088\n22596 34071\n13454 20265\n51177 76837\n33025 49711\n81784 100000\n93106 100000\n15964 24057\n47123 70766\n33902 51003\n44225 66446\n23291 35111\n72787 100000\n71588 100000\n5935 8919\n72690 100000\n78668 100000\n11929 17977\n75442 100000\n59222 88858\n76604 100000\n69277 100000\n71069 100000\n98847 100000\n4154 6234\n73243 100000\n84417 100000\n72824 100000\n16730 25212\n63957 95926\n89521 100000\n66878 100000\n80428 100000\n88161 100000\n40419 60789\n64231 96345\n38365 57721\n5424 8143\n94282 100000\n13237 19937\n36184 54424\n19292 29071\n34910 52513\n5297 7951\n36247 54513\n14127 21292\n96510 100000\n84488 100000\n26452 39835\n62207 93310\n7729 11617\n54554 81846\n92482 100000\n7163 10754\n48377 72640\n49631 74502\n96386 100000\n80166 100000\n70981 100000\n79223 100000\n14464 21806\n5220 7832\n22535 33972\n61197 91788\n99780 100000\n75710 100000\n54358 81559\n95801 100000\n32644 49148\n6295 9460\n15845 23889\n46487 69826\n41615 62561\n45420 68228\n97478 100000\n48995 73553\n12549 18903\n39600 59566\n86823 100000\n676 1038\n30652 46169\n90270 100000\n38790 58345\n33676 50666\n99269 100000\n52921 79400\n45781 68779\n28177 42442\n83437 100000\n38121 57355\n81318 100000\n77863 100000\n58732 88118\n88554 100000\n63736 95593\n75686 100000\n5760 8658\n48374 72635\n11249 16934\n71436 100000\n49722 74634\n82970 100000\n13174 19839\n8034 12080\n47716 71645\n37687 56699\n17956 27054\n34645 52104\n50149 75277\n52630 78971\n57426 86144\n3410 5151\n40586 61039\n58317 87486\n84956 100000\n58296 87452\n77248 100000\n15952 24041\n51103 76714\n71846 100000\n5173 7763\n88100 100000\n90366 100000\n36806 55383\n54532 81814\n84118 100000\n19106 28780\n39114 58833\n53746 80643\n98342 100000\n87802 100000\n43360 65177\n11356 17104\n65647 98470\n2014 3063\n53941 80946\n15109 22769\n40731 61255\n67201 100000\n26514 39930\n94647 100000\n22128 33363\n66218 99351\n9458 14229\n80140 100000\n98893 100000\n12948 19493\n30980 46661\n9286 13973\n22767 34325\n22790 34358\n25763 38810\n46239 69454\n34975 52611\n36737 55279\n36392 54743\n70386 100000\n71487 100000\n59835 89775\n44082 66240\n59521 89298\n27403 41274\n96431 100000\n979 1496\n32805 49386\n82206 100000\n84779 100000\n95690 100000\n15580 23477\n74089 100000\n44789 67280\n72422 100000\n95438 100000\n37584 56543\n29825 44926\n49090 73693\n85887 100000\n78828 100000\n79388 100000\n33833 50903\n12963 19515\n51897 77910\n8902 13395\n6827 10255\n50515 75832\n32797 49375\n69963 100000\n54413 81641\n43625 65565\n74536 100000\n45733 68710\n42587 64012\n34805 52347\n45974 69064\n6244 9384\n71790 100000\n81202 100000\n87789 100000\n89995 100000\n58814 88241\n68902 100000\n52191 78324\n44502 66850\n96539 100000\n47841 71840\n40555 60994\n56968 85447\n28736 43306\n62736 94096\n56112 84170\n43812 65850\n15179 22867\n41600 62536\n50884 76387\n94607 100000\n13161 19820\n796 1227\n28519 42963\n13022 19605\n55369 83060\n76086 100000\n98904 100000\n21958 33101\n70588 100000\n44343 66616\n737 1133\n31846 47964\n9398 14141\n5614 8426\n6689 10052\n68951 100000\n65323 97977\n26359 39699\n33212 49984\n60257 90401\n76436 100000\n93014 100000\n89760 100000\n87760 100000\n2538 3842\n5734 8613\n16914 25499\n42606 64041\n96706 100000\n68444 100000\n4884 7340\n23268 35071\n82671 100000\n43766 65782\n40221 60493\n28808 43416\n6309 9481\n13859 20879\n40348 60683\n99127 100000\n45415 68220\n25063 37773\n21686 32692\n37260 56055\n33552 50477\n79929 100000\n66121 99202\n75559 100000\n18703 28176\n40475 60872\n47405 71180\n32949 49601\n97268 100000\n5120 7690\n24169 36437\n47776 71740\n62513 93766\n83034 100000\n80748 100000\n68927 100000\n64308 96452\n25700 38713\n59160 88761\n10675 16062\n59661 89510\n58649 87990\n38846 58424\n30689 46226\n15375 23161\n63614 95410\n78207 100000\n93178 100000\n2744 4152\n41785 62816\n1788 2722\n38811 58375\n38213 57492\n3421 5167\n80502 100000\n98840 100000\n9986 15034\n75232 100000\n8103 12186\n99447 100000\n17824 26857\n13533 20387\n3830 5768\n632 970\n93411 100000\n70711 100000\n49401 74166\n38484 57898\n55112 82675\n84833 100000\n1759 2677\n52257 78423\n33828 50897\n96841 100000\n14729 22208\n73329 100000\n94992 100000\n73937 100000\n84331 100000\n2386 3609\n60673 91018\n40493 60898\n21822 32898\n17823 26855\n61015 91523\n23592 35569\n74980 100000\n57142 85699\n69618 100000\n55830 83754\n52384 78609\n23281 35093\n71989 100000\n50113 75219\n74692 100000\n95808 100000\n39223 58998\n58169 87266\n29802 44890\n9308 14007\n49533 74361\n1016 1550\n45019 67635\n31663 47693\n55843 83777\n96819 100000\n88666 100000\n14394 21697\n82010 100000\n66364 99576\n5637 8463\n56120 84181\n92454 100000\n99414 100000\n55382 83076\n83791 100000\n62603 93899\n24080 36304\n63138 94699\n63108 94655\n19574 29504\n89555 100000\n14760 22252\n70954 100000\n65335 97996\n14201 21403\n73856 100000\n73303 100000\n61941 92901\n72327 100000\n2388 3611\n89873 100000\n80632 100000\n69811 100000\n94045 100000\n54714 82090\n74230 100000\n40133 60366\n23983 36156\n70374 100000\n38434 57825\n80712 100000\n95595 100000\n51817 77788\n26485 39888\n48187 72368\n71860 100000\n64015 96017\n42943 64542\n19547 29461\n58621 87946\n79682 100000\n17413 26249\n65169 97747\n31562 47537\n67707 100000\n81764 100000\n49023 73595\n3141 4747\n99238 100000\n45556 68438\n93071 100000\n97910 100000\n46539 69899\n62851 94265\n1276 1942\n4915 7387\n70625 100000\n66541 99837\n67264 100000\n62730 94088\n17895 26970\n34853 52423\n84839 100000\n15865 23919\n25837 38922\n54616 81943\n49406 74172\n55175 82769\n85379 100000\n78826 100000\n34300 51592\n46529 69883\n35604 53555\n42790 64310\n6357 9552\n87640 100000\n87980 100000\n80810 100000\n90990 100000\n64527 96779\n73854 100000\n56815 85220\n58888 88348\n62686 94023\n19436 29300\n97026 100000\n73893 100000\n55394 83093\n15002 22608\n73370 100000\n83342 100000\n66314 99503\n68962 100000\n7291 10951\n11993 18070\n21591 32546\n81957 100000\n80311 100000\n93523 100000\n43040 64686\n25210 37987\n16544 24934\n57605 86418\n23935 36079\n95660 100000\n26977 40625\n88833 100000\n10929 16443\n11123 16738\n44053 66196\n61425 92125\n79399 100000\n72347 100000\n14051 21175\n39762 59817\n84248 100000\n94206 100000\n81888 100000\n61700 92533\n35593 53538\n79477 100000\n1171 1791\n40751 61280\n96751 100000\n33647 50622\n60045 90088\n83768 100000\n28579 43063\n77220 100000\n39698 59715\n85935 100000\n6619 9946\n37916 57051\n93090 100000\n70778 100000\n66018 99040\n56564 84853\n25235 38023\n90221 100000\n76577 100000\n81716 100000\n69668 100000\n47224 70905\n81398 100000\n72923 100000\n1706 2599\n99626 100000\n6458 9706\n10771 16214\n70656 100000\n66951 100000\n13456 20268\n86840 100000\n45504 68352\n29842 44948\n66998 100000\n14616 22032\n13685 20615\n42993 64620\n32195 48477\n67267 100000\n41925 63030\n4492 6755\n42257 63521\n76066 100000\n88490 100000\n64140 96208\n60398 90608\n66382 99605\n83989 100000\n11303 17021\n50375 75623\n35370 53205\n64339 96496\n68196 100000\n82161 100000\n92802 100000\n30042 45254\n76929 100000\n58540 87827\n43845 65894\n76273 100000\n6643 9982\n45923 68989\n64273 96402\n37509 56437\n33784 50832\n31956 48122\n24030 36228\n48957 73497\n12599 18980\n89271 100000\n6858 10300\n41355 62173\n83801 100000\n44441 66762\n84827 100000\n45072 67712\n8208 12345\n46700 70133\n50685 76081\n39849 59940\n3357 5073\n43878 65945\n77771 100000\n38610 58082\n39476 59380\n4038 6065\n9535 14356\n43938 66035\n96537 100000\n90972 100000\n81115 100000\n51792 77754\n22341 33686\n1527 2330\n19829 29897\n59146 88738\n74123 100000\n68070 100000\n77442 100000\n89317 100000\n40322 60643\n85796 100000\n95039 100000\n83142 100000\n39882 59994\n86732 100000\n21923 33048\n8679 13063\n47478 71283\n77559 100000\n55050 82584\n83184 100000\n73348 100000\n23833 35927\n53084 79652\n24293 36634\n75855 100000\n15829 23864\n73628 100000\n37357 56204\n89589 100000\n98025 100000\n91634 100000\n46733 70176\n37096 55814\n72468 100000\n99145 100000\n65603 98411\n65394 98088\n98343 100000\n97264 100000\n43637 65583\n84567 100000\n9607 14465\n69750 100000\n43068 64726\n39914 60043\n77680 100000\n53947 80956\n6671 10027\n52598 78926\n1711 2607\n96887 100000\n15251 22979\n96745 100000\n19271 29034\n74331 100000\n24444 36861\n9060 13634\n16811 25342\n1180 1804\n74433 100000\n22827 34413\n44372 66661\n55637 83465\n42396 63723\n97964 100000\n48344 72592\n84797 100000\n12688 19115\n82951 100000\n53181 79793\n24044 36251\n98337 100000\n85665 100000\n68744 100000\n69849 100000\n70503 100000\n39249 59035\n69464 100000\n22131 33369\n78598 100000\n99152 100000\n88735 100000\n3865 5811\n74703 100000\n49762 74699\n38287 57607\n5806 8726\n36905 55538\n51257 76946\n75212 100000\n24373 36756\n75771 100000\n61839 92747\n52414 78656\n79616 100000\n62320 93483\n11217 16883\n9074 13652\n29276 44109\n22612 34097\n3730 5617\n75540 100000\n28258 42567\n50796 76259\n31643 47663\n69572 100000\n8768 13194\n19273 29038\n73826 100000\n27838 41929\n8741 13154\n54882 82335\n66529 99820\n83552 100000\n99041 100000\n69621 100000\n31115 46863\n66967 100000\n41410 62251\n57192 85772\n88512 100000\n25187 37952\n60821 91243\n8470 12735\n2718 4112\n13707 20648\n50472 75772\n10898 16401\n45389 68181\n84792 100000\n44902 67462\n82140 100000\n5535 8311\n43839 65887\n42354 63656\n57103 85640\n13341 20088\n90440 100000\n80821 100000\n5740 8624\n11923 17968\n30259 45580\n45197 67898\n5562 8350\n72957 100000\n48548 72888\n24277 36610\n80329 100000\n95416 100000\n75333 100000\n17900 26977\n2983 4508\n77759 100000\n66752 100000\n42998 64627\n56216 84319\n31304 47136\n53060 79614\n76477 100000\n39519 59438\n93769 100000\n19641 29607\n71941 100000\n33012 49692\n28759 43341\n46687 70117\n81029 100000\n267 409\n48410 72687\n18388 27695\n57028 85529\n46572 69952\n86651 100000\n9515 14323\n9084 13666\n68496 100000\n60481 90734\n82354 100000\n41829 62882\n28536 42992\n94679 100000\n10314 15528\n81489 100000\n17793 26812\n61117 91667\n56444 84665\n10553 15876\n98536 100000\n43484 65357\n23260 35058\n40396 60752\n78063 100000\n74828 100000\n1840 2803\n59516 89291\n72720 100000\n44824 67336\n78511 100000\n45695 68657\n92254 100000\n71330 100000\n64034 96050\n42218 63467\n53615 80440\n4355 6540\n24515 36967\n21400 32248\n23167 34916\n25993 39146\n4398 6606\n86068 100000\n47249 70947\n85992 100000\n58015 87034\n25827 38908\n82846 100000\n99035 100000\n13937 21007\n95469 100000\n45612 68528\n70624 100000\n7252 10889\n58842 88286\n21368 32202\n26481 39881\n8705 13101\n58571 87871\n27435 41321\n82987 100000\n59733 89623\n70926 100000\n82077 100000\n50687 76085\n87523 100000\n25978 39126\n72985 100000\n12797 19272\n75806 100000\n15959 24049\n13034 19624\n86599 100000\n93418 100000\n11382 17145\n81086 100000\n15171 22856\n52652 79000\n32995 49667\n98559 100000\n34753 52269\n91231 100000\n26935 40561\n89196 100000\n90040 100000\n24570 37037\n11878 17901\n63296 94932\n6145 9239\n59107 88681\n19097 28767\n84079 100000\n58525 87805\n69997 100000\n21484 32375\n18536 27928\n23015 34696\n59333 89032\n86807 100000\n11091 16690\n97762 100000\n25688 38694\n547 839\n46810 70297\n29916 45062\n56259 84379\n81798 100000\n7567 11373\n81251 100000\n80116 100000\n21002 31661\n46976 70543\n15929 24010\n45323 68087\n24269 36597\n13105 19737\n3947 5931\n83798 100000\n37652 56646\n35881 53971\n72608 100000\n22724 34260\n60492 90753\n33421 50292\n96335 100000\n36327 54639\n89649 100000\n92617 100000\n17365 26176\n76299 100000\n65767 98658\n48251 72459\n57951 86935\n28110 42340\n747 1148\n83911 100000\n93405 100000\n87849 100000\n31302 47134\n60737 91115\n25822 38901\n67412 100000\n95882 100000\n29098 43841\n12245 18443\n64867 97297\n35784 53824\n3439 5198\n5592 8397\n28656 43178\n60285 90443\n73420 100000\n28995 43687\n6984 10483\n56559 84845\n33394 50250\n88972 100000\n30449 45866\n80945 100000\n18913 28485\n10778 16221\n84092 100000\n48191 72375\n52855 79302\n10199 15352\n80768 100000\n41774 62797\n70020 100000\n44790 67282\n44254 66485\n66491 99765\n68032 100000\n45967 69053\n53967 80988\n34842 52406\n10970 16506\n77542 100000\n86570 100000\n59538 89324\n6025 9059\n54900 82359\n92791 100000\n48885 73396\n52529 78823\n47941 71995\n41479 62358\n20101 30314\n7551 11349\n74998 100000\n81987 100000\n46669 70092\n70396 100000\n8354 12561\n8210 12348\n77015 100000\n6178 9286\n80174 100000\n21338 32156\n6337 9524\n89452 100000\n38554 57995\n15978 24077\n3167 4789\n94841 100000\n29079 43811\n26719 40239\n18356 27652\n10293 15497\n95955 100000\n25960 39101\n41061 61744\n47582 71447\n6330 9515\n76274 100000\n96482 100000\n32350 48712\n63737 95595\n48914 73436\n57976 86975\n11008 16563\n20188 30441\n66844 100000\n30952 46625\n12476 18797\n18470 27826\n44974 67567\n72870 100000\n5839 8773\n33143 49883\n42996 64624\n61909 92854\n1311 1998\n92724 100000\n49941 74956\n32208 48499\n22867 34473\n69229 100000\n7986 12007\n89042 100000\n9641 14514\n9039 13603\n88302 100000\n40606 61068\n67069 100000\n42985 64608\n22481 33897\n52145 78259\n17842 26885\n6711 10082\n13596 20481\n70666 100000\n18419 27739\n66550 99851\n21826 32905\n93479 100000\n6595 9909\n81360 100000\n17535 26426\n50045 75113\n92129 100000\n95196 100000\n39344 59182\n89357 100000\n3317 5012\n90261 100000\n56201 84292\n75656 100000\n1464 2239\n27613 41591\n66345 99549\n62932 94386\n98242 100000\n71355 100000\n55718 83587\n24237 36546\n70317 100000\n49442 74229\n3841 5779\n1363 2084\n6718 10093\n60346 90533\n57391 86090\n16702 25171\n28966 43644\n93034 100000\n1704 2595\n161 243\n36972 55633\n69120 100000\n16732 25214\n87275 100000\n2057 3128\n52856 79303\n47225 70907\n22334 33675\n55404 83109\n10915 16424\n51361 77102\n76770 100000\n95702 100000\n1185 1810\n74390 100000\n79298 100000\n9983 15030\n83535 100000\n12671 19090\n25848 38938\n4267 6407\n71693 100000\n66114 99190\n8189 12316\n83711 100000\n41253 62030\n73236 100000\n61093 91634\n86498 100000\n54548 81838\n51444 77226\n70608 100000\n74261 100000\n55415 83128\n1501 2296\n96056 100000\n50493 75801\n69318 100000\n88056 100000\n39970 60127\n49348 74086\n5259 7895\n33031 49720\n93572 100000\n51123 76748\n60804 91216\n33664 50646\n36738 55280\n41246 62020\n52076 78160\n10980 16521\n83938 100000\n16536 24921\n4721 7091\n42565 63978\n89516 100000\n12114 18246\n50374 75621\n13667 20589\n80588 100000\n73513 100000\n41023 61686\n78383 100000\n77722 100000\n29739 44793\n75731 100000\n66487 99758\n78954 100000\n54566 81866\n69894 100000\n88819 100000\n51860 77850\n84155 100000\n99603 100000\n40442 60822\n2360 3574\n69398 100000\n90103 100000\n70344 100000\n49273 73975\n91804 100000\n47248 70945\n66659 100000\n98636 100000\n5586 8388\n86792 100000\n82138 100000\n36584 55037\n14083 21227\n38028 57218\n24520 36974\n64028 96038\n93598 100000\n55128 82702\n84618 100000\n28298 42630\n11329 17060\n19407 29253\n9097 13684\n17150 25863\n24522 36977\n67393 100000\n55895 83861\n31918 48068\n87958 100000\n69011 100000\n89872 100000\n55116 82683\n95018 100000\n84014 100000\n19555 29475\n22581 34046\n55754 83638\n41941 63057\n30334 45690\n71734 100000\n56586 84886\n99661 100000\n79853 100000\n72894 100000\n66719 100000\n10077 15174\n65727 98597\n41591 62522\n63006 94501\n35805 53856\n13417 20207\n71777 100000\n44630 67044\n7865 11823\n40840 61410\n10916 16425\n57645 86477\n12098 18224\n91915 100000\n42060 63228\n18538 27930\n47517 71344\n32303 48643\n68825 100000\n16823 25359\n48228 72425\n78841 100000\n72111 100000\n2165 3280\n72688 100000\n33209 49981\n53537 80326\n89755 100000\n92278 100000\n6883 10339\n1630 2483\n37199 55968\n98547 100000\n85752 100000\n77745 100000\n31708 47762\n97599 100000\n93852 100000\n13263 19975\n51462 77252\n5618 8434\n4643 6974\n96449 100000\n77864 100000\n47913 71950\n86932 100000\n7338 11023\n48683 73089\n75075 100000\n90923 100000\n67194 100000\n23134 34867\n98425 100000\n12219 18401\n33538 50459\n78027 100000\n62096 93132\n80831 100000\n72369 100000\n75794 100000\n31842 47960\n47418 71200\n46906 70437\n28883 43523\n59471 89229\n73384 100000\n92603 100000\n10102 15209\n1159 1772\n28751 43330\n70674 100000\n3579 5400\n29594 44573\n9199 13833\n79403 100000\n34427 51784\n17289 26070\n54511 81783\n10755 16191\n93588 100000\n95787 100000\n93952 100000\n69994 100000\n65258 97878\n51492 77300\n23318 35157\n17539 26431\n90467 100000\n20617 31094\n88625 100000\n19695 29692\n52275 78452\n39200 58966\n25037 37733\n53479 80232\n46877 70395\n39712 59741\n44453 66779\n50257 75443\n4344 6527\n91886 100000\n63583 95359\n55042 82571\n83598 100000\n5757 8653\n28674 43211\n76557 100000\n23467 35389\n57299 85937\n78360 100000\n36608 55076\n8090 12167\n7589 11402\n55003 82516\n3279 4956\n12451 18759\n89197 100000\n30417 45815\n41674 62650\n85163 100000\n4503 6774\n56178 84260\n98723 100000\n78751 100000\n5335 8011\n44800 67300\n52784 79196\n40171 60418\n21527 32442\n33549 50473\n51246 76928\n75300 100000\n82420 100000\n58529 87810\n29943 45103\n97763 100000\n47727 71663\n13645 20553\n87470 100000\n31536 47495\n59525 89306\n77426 100000\n74231 100000\n38800 58359\n81088 100000\n63035 94546\n9946 14974\n9876 14867\n78426 100000\n58297 87454\n90373 100000\n71967 100000\n7834 11774\n22936 34577\n35551 53474\n6070 9131\n71133 100000\n57464 86202\n44710 67163\n56911 85362\n70782 100000\n80883 100000\n24648 37150\n73647 100000\n17479 26343\n48078 72198\n36527 54951\n79416 100000\n45638 68571\n81023 100000\n41944 63062\n63362 95033\n68379 100000\n6890 10349\n98486 100000\n16258 24509\n67178 100000\n75162 100000\n46691 70122\n1911 2906\n44301 66555\n43941 66040\n76337 100000\n83971 100000\n42564 63977\n10137 15264\n42107 63301\n46138 69312\n84353 100000\n35719 53727\n57235 85839\n2674 4047\n40892 61488\n72277 100000\n85970 100000\n91583 100000\n51068 76664\n46223 69433\n75428 100000\n2651 4013\n76596 100000\n88975 100000\n67817 100000\n6627 9956\n23325 35168\n84524 100000\n21066 31754\n58878 88334\n45703 68670\n21807 32876\n70302 100000\n5312 7974\n46882 70403\n26130 39360\n9511 14317\n29599 44579\n37427 56314\n45413 68217\n43319 65113\n4239 6365\n79653 100000\n46580 69964\n69070 100000\n94388 100000\n38894 58503\n43566 65476\n61917 92866\n64497 96730\n54971 82467\n64434 96634\n93412 100000\n77391 100000\n78799 100000\n15009 22620\n57160 85725\n36813 55396\n62226 93342\n38944 58580\n42656 64111\n68921 100000\n71826 100000\n94922 100000\n36197 54439\n85758 100000\n23771 35831\n42757 64262\n38062 57268\n36146 54364\n75801 100000\n6061 9116\n2361 3575\n37911 57044\n85040 100000\n36546 54979\n82802 100000\n55444 83171\n94144 100000\n92130 100000\n33352 50190\n61690 92520\n60244 90384\n60591 90897\n39659 59657\n39132 58864\n16713 25188\n65036 97549\n57552 86334\n8183 12307\n87148 100000\n32660 49173\n43197 64925\n84024 100000\n97120 100000\n42123 63325\n65149 97716\n23766 35824\n22370 33728\n71079 100000\n35026 52688\n95758 100000\n31319 47155\n28268 42584\n21080 31775\n39995 60164\n72563 100000\n55274 82920\n19373 29200\n77412 100000\n1977 3008\n19029 28660\n72741 100000\n79561 100000\n85840 100000\n10037 15112\n66649 100000\n86516 100000\n66815 100000\n89621 100000\n57272 85896\n91556 100000\n25225 38007\n7989 12011\n27472 41373\n24011 36198\n77505 100000\n39738 59781\n85029 100000\n20402 30762\n1376 2106\n8376 12595\n82639 100000\n89557 100000\n91868 100000\n74479 100000\n95893 100000\n79072 100000\n11381 17144\n79022 100000\n9706 14617\n57059 85576\n76968 100000\n29160 43933\n14860 22403\n42997 64625\n63089 94626\n92484 100000\n65086 97622\n43693 65671\n87714 100000\n73383 100000\n74290 100000\n41271 62055\n52106 78202\n65069 97597\n92008 100000\n70144 100000\n67279 100000\n74923 100000\n88781 100000\n74340 100000\n61072 91607\n25175 37936\n3463 5231\n23826 35916\n76827 100000\n57833 86753\n92543 100000\n4080 6128\n33019 49702\n38129 57365\n37854 56954\n372 573\n56496 84746\n64288 96424\n64096 96146\n36851 55451\n75485 100000\n55613 83430\n66883 100000\n2976 4498\n49200 73866\n8295 12471\n21954 33095\n71630 100000\n75291 100000\n2837 4289\n64380 96549\n98404 100000\n97626 100000\n17925 27014\n21905 33021\n51621 77499\n21041 31717\n92447 100000\n30318 45668\n86984 100000\n98382 100000\n97296 100000\n30147 45415\n52397 78632\n50779 76231\n61416 92113\n61585 92356\n61764 92634\n16773 25279\n82199 100000\n9206 13845\n90170 100000\n77056 100000\n59572 89379\n69568 100000\n48839 73326\n89522 100000\n11216 16882\n91896 100000\n10494 15793\n45740 68719\n27131 40851\n39184 58940\n44153 66338\n32337 48694\n77041 100000\n46746 70198\n93980 100000\n86105 100000\n44071 66222\n97242 100000\n41620 62568\n29010 43709\n83650 100000\n96438 100000\n80475 100000\n10346 15572\n19585 29523\n95856 100000\n11195 16850\n76430 100000\n11733 17685\n79979 100000\n48034 72130\n23994 36172\n66409 99644\n17616 26545\n25844 38931\n58319 87488\n73667 100000\n31637 47655\n39700 59719\n5511 8270\n23279 35090\n30106 45353\n77633 100000\n88210 100000\n92692 100000\n95296 100000\n703 1080\n67056 100000\n93080 100000\n74756 100000\n63959 95929\n52374 78594\n50403 75669\n62462 93694\n99974 100000\n49114 73732\n27714 41741\n27893 42014\n78913 100000\n63271 94895\n25751 38790\n79835 100000\n33646 50621\n92441 100000\n37214 55986\n67818 100000\n80343 100000\n14707 22176\n92925 100000\n42644 64095\n73489 100000\n54646 81989\n92542 100000\n69674 100000\n24133 36383\n45575 68467\n54573 81877\n49082 73683\n13748 20712\n70712 100000\n41995 63139\n23776 35839\n82642 100000\n62051 93064\n53109 79690\n21260 32036\n80375 100000\n6076 9141\n22944 34588\n81775 100000\n13087 19708\n25109 37838\n42811 64340\n73099 100000\n78651 100000\n81905 100000\n10986 16529\n57875 86820\n73652 100000\n646 990\n62789 94174\n16636 25072\n59563 89364\n14903 22464\n33379 50229\n39818 59901\n28734 43303\n80892 100000\n54855 82299\n37971 57138\n88917 100000\n4436 6668\n57898 86856\n97534 100000\n73898 100000\n59229 88866\n836 1283\n77601 100000\n2721 4116\n52835 79271\n2031 3089\n47702 71625\n21763 32810\n92594 100000\n38603 58072\n11312 17032\n20191 30446\n14663 22104\n25622 38602\n97244 100000\n71896 100000\n45864 68900\n39005 58671\n24065 36283\n42520 63908\n553 848\n62857 94274\n32130 48377\n46803 70286\n92167 100000\n96471 100000\n97859 100000\n11710 17650\n41816 62861\n64147 96218\n32977 49642\n18720 28200\n92829 100000\n56856 85281\n83712 100000\n47018 70603\n71178 100000\n4263 6401\n70685 100000\n90382 100000\n73953 100000\n2969 4486\n85867 100000\n79870 100000\n19022 28650\n86756 100000\n39530 59456\n69626 100000\n15507 23361\n92169 100000\n63203 94794\n56073 84115\n10468 15755\n43675 65641\n14007 21114\n46846 70350\n87886 100000\n60038 90078\n32415 48814\n91316 100000\n26839 40419\n70500 100000\n37205 55975\n16028 24155\n42746 64246\n88966 100000\n5564 8353\n74499 100000\n13459 20274\n93892 100000\n67320 100000\n38455 57857\n64787 97178\n8720 13124\n50535 75861\n59186 88801\n87672 100000\n32398 48786\n62057 93072\n23936 36080\n50575 75924\n10854 16334\n49218 73894\n10214 15373\n48754 73203\n13128 19770\n42251 63513\n26322 39646\n57457 86191\n62232 93352\n25724 38749\n74847 100000\n32721 49265\n40147 60385\n94112 100000\n30051 45269\n53791 80711\n5183 7778\n86234 100000\n72118 100000\n44197 66402\n55979 83981\n84177 100000\n98074 100000\n27973 42131\n97961 100000\n8122 12214\n38219 57502\n18503 27876\n64595 96881\n87207 100000\n26133 39364\n40186 60440\n72106 100000\n28140 42385\n73717 100000\n36131 54340\n27053 40738\n20166 30415\n49742 74667\n36013 54165\n94157 100000\n78223 100000\n41655 62623\n33880 50969\n9685 14586\n10991 16535\n77119 100000\n43354 65167\n91451 100000\n72100 100000\n6082 9149\n97717 100000\n6690 10053\n76747 100000\n36398 54753\n28541 43002\n55285 82938\n67795 100000\n78943 100000\n79866 100000\n67521 100000\n87385 100000\n2258 3420\n76389 100000\n3751 5651\n90941 100000\n3151 4763\n90168 100000\n77313 100000\n56545 84824\n37798 56869\n50726 76150\n33138 49874\n66279 99446\n35802 53852\n77670 100000\n45082 67729\n16328 24616\n55416 83129\n9666 14554\n76634 100000\n93200 100000\n55822 83741\n22681 34198\n93577 100000\n11770 17739\n99586 100000\n50771 76220\n26854 40443\n36974 55636\n68296 100000\n89835 100000\n64640 96948\n38761 58304\n28449 42863\n20932 31559\n32385 48767\n47375 71136\n80382 100000\n32267 48588\n33874 50961\n38696 58211\n1408 2159\n12071 18187\n6360 9558\n20506 30927\n57803 86709\n25952 39089\n89563 100000\n64517 96762\n77627 100000\n17503 26379\n94346 100000\n88788 100000\n95496 100000\n88256 100000\n85233 100000\n27985 42150\n54842 82281\n48357 72610\n37348 56189\n47431 71219\n75558 100000\n30563 46036\n27379 41237\n6410 9632\n43102 64781\n77431 100000\n94610 100000\n85695 100000\n48229 72426\n44937 67511\n70013 100000\n19254 29007\n47438 71230\n60530 90805\n18799 28318\n3389 5121\n78548 100000\n36705 55229\n45588 68488\n53963 80981\n54258 81420\n53449 80187\n34669 52144\n58174 87274\n11844 17848\n59900 89878\n90179 100000\n44480 66818\n5195 7795\n24733 37279\n67028 100000\n43383 65210\n41427 62278\n24635 37128\n2711 4102\n48434 72720\n61672 92492\n27626 41611\n34117 51321\n14872 22421\n27356 41200\n47647 71541\n49662 74547\n85921 100000\n53924 80917\n35489 53381\n8159 12271\n62997 94488\n60512 90781\n96444 100000\n29999 45189\n5069 7615\n16154 24346\n77775 100000\n94247 100000\n37239 56022\n16973 25588\n71838 100000\n38292 57614\n39938 60077\n16983 25603\n14413 21727\n1806 2750\n16591 25006\n15917 23992\n91016 100000\n43992 66112\n45171 67860\n76670 100000\n7940 11936\n48814 73289\n60479 90731\n24079 36302\n58715 88093\n63940 95899\n55841 83774\n62049 93061\n56345 84516\n67261 100000\n77277 100000\n56283 84417\n94987 100000\n70260 100000\n63517 95264\n60405 90618\n34773 52299\n11546 17396\n7695 11564\n90879 100000\n56320 84477\n3238 4894\n17024 25665\n74076 100000\n95596 100000\n32376 48753\n49486 74293\n7160 10749\n25116 37847\n15216 22925\n32543 49006\n59195 88816\n3987 5988\n29693 44721\n46980 70548\n49876 74865\n83190 100000\n24010 36197\n81684 100000\n61066 91598\n59476 89235\n37610 56586\n72857 100000\n44237 66464\n80210 100000\n53242 79879\n43318 65112\n90029 100000\n52650 78997\n92464 100000\n46386 69674\n25526 38464\n98456 100000\n46559 69932\n39820 59904\n61196 91786\n41617 62564\n85897 100000\n47442 71236\n80420 100000\n55359 83043\n91613 100000\n24828 37415\n11543 17392\n72612 100000\n94041 100000\n42937 64533\n79881 100000\n45956 69037\n53823 80759\n72769 100000\n31344 47194\n16397 24714\n9629 14496\n34244 51501\n38708 58227\n48071 72186\n6125 9207\n94337 100000\n70622 100000\n93554 100000\n21253 32023\n96417 100000\n8229 12375\n34090 51284\n71334 100000\n26656 40139\n98383 100000\n52679 79040\n13929 20992\n9283 13968\n33130 49863\n93337 100000\n92929 100000\n51990 78041\n35919 54024\n11028 16592\n10098 15202\n64394 96570\n35849 53922\n54064 81129\n8089 12165\n68151 100000\n75356 100000\n19926 30053\n14833 22361\n46441 69756\n95859 100000\n44342 66615\n31508 47451\n28915 43570\n42684 64150\n90287 100000\n338 519\n58052 87091\n30824 46433\n82817 100000\n32261 48579\n35539 53455\n52224 78372\n95650 100000\n19795 29844\n59885 89855\n60183 90289\n96223 100000\n63585 95363\n16179 24388\n59660 89508\n53756 80660\n70334 100000\n49422 74198\n81930 100000\n37374 56230\n86352 100000\n59088 88652\n61642 92445\n95422 100000\n95862 100000\n70254 100000\n48250 72458\n60585 90888\n94546 100000\n51682 77589\n24242 36555\n6582 9891\n25354 38200\n31753 47824\n62490 93734\n61080 91617\n34112 51314\n57020 85518\n38203 57477\n10178 15320\n91121 100000\n49022 73594\n37133 55872\n5448 8182\n62842 94252\n88159 100000\n50107 75208\n9068 13644\n66078 99135\n14851 22390\n5610 8421\n81276 100000\n32399 48788\n83889 100000\n10248 15428\n3595 5423\n65768 98660\n44838 67359\n32503 48945\n69847 100000\n50697 76102\n60263 90409\n64947 97417\n6472 9729\n12849 19344\n47407 71183\n69499 100000\n60071 90126\n30931 46593\n49788 74735\n11662 17571\n66100 99167\n40931 61545\n3710 5587\n35562 53490\n7170 10767\n2641 3995\n76285 100000\n14626 22047\n27896 42019\n71710 100000\n60742 91124\n84747 100000\n56787 85181\n78897 100000\n75505 100000\n90 136\n20106 30321\n36462 54851\n1601 2441\n95976 100000\n28632 43143\n79065 100000\n66338 99539\n65374 98058\n40582 61032\n4966 7457\n31168 46947\n81977 100000\n37261 56057\n71110 100000\n87140 100000\n16365 24666\n72718 100000\n72637 100000\n59340 89042\n54439 81680\n3001 4535\n45364 68147\n28634 43146\n17668 26618\n73093 100000\n24914 37541\n5271 7916\n11422 17211\n36330 54644\n29264 44092\n84594 100000\n20679 31187\n1289 1963\n16021 24142\n19467 29344\n21642 32623\n36322 54630\n79006 100000\n42864 64423\n96200 100000\n18292 27558\n89858 100000\n62930 94382\n10648 16019\n60277 90433\n67581 100000\n93063 100000\n71321 100000\n17255 26020\n7609 11436\n91805 100000\n61681 92505\n51261 76951\n55765 83655\n34047 51223\n86978 100000\n11980 18052\n30643 46154\n8446 12701\n17331 26130\n39918 60049\n21213 31966\n98170 100000\n14396 21701\n98563 100000\n81690 100000\n70369 100000\n53425 80153\n87452 100000\n85946 100000\n1143 1746\n12102 18230\n90605 100000\n90119 100000\n50408 75678\n17082 25755\n52923 79403\n45511 68363\n34 54\n28754 43335\n57589 86394\n33938 51054\n13406 20190\n10318 15534\n29360 44232\n71501 100000\n78567 100000\n55340 83020\n91393 100000\n62950 94416\n67223 100000\n22213 33489\n88297 100000\n69074 100000\n93415 100000\n86193 100000\n861 1324\n7783 11695\n35857 53933\n65104 97650\n99915 100000\n92661 100000\n29948 45111\n37437 56330\n76629 100000\n78289 100000\n79594 100000\n64421 96614\n30612 46106\n54379 81590\n35585 53525\n54182 81310\n31044 46752\n45489 68330\n24043 36250\n90431 100000\n84638 100000\n29879 45008\n95234 100000\n80513 100000\n9299 13993\n4264 6403\n85516 100000\n92745 100000\n40912 61517\n38566 58014\n51657 77551\n91964 100000\n22433 33824\n54598 81915\n66071 99124\n4695 7049\n45095 67748\n59181 88792\n12297 18524\n99514 100000\n74972 100000\n1329 2025\n11971 18038\n8214 12352\n27389 41253\n79776 100000\n12404 18685\n9373 14100\n10740 16167\n86337 100000\n86208 100000\n1719 2619\n519 793\n4252 6385\n26668 40159\n400 616\n83490 100000\n76376 100000\n4585 6893\n13303 20032\n36243 54509\n83224 100000\n52018 78082\n58908 88380\n54162 81278\n47270 70978\n14520 21890\n80266 100000\n87341 100000\n50194 75343\n42364 63671\n572 874\n10629 15988\n52838 79274\n50286 75486\n35390 53232\n49481 74285\n14685 22139\n42804 64331\n16017 24137\n91129 100000\n87076 100000\n17256 26022\n5293 7947\n84445 100000\n91438 100000\n83234 100000\n36004 54151\n68467 100000\n10624 15981\n86642 100000\n62027 93028\n73797 100000\n31589 47581\n43311 65102\n39703 59724\n7045 10574\n53126 79712\n53289 79946\n23057 34760\n2763 4181\n3130 4729\n98031 100000\n26394 39752\n57346 86019\n53366 80062\n58086 87142\n98958 100000\n32134 48384\n61774 92650\n47227 70910\n43641 65590\n57769 86661\n39284 59088\n37606 56581\n72065 100000\n3253 4917\n36967 55625\n94709 100000\n92164 100000\n32204 48492\n17614 26542\n81137 100000\n72264 100000\n51510 77329\n30419 45818\n89539 100000\n84365 100000\n56690 85041\n3174 4801\n10752 16186\n16007 24121\n90780 100000\n42543 63946\n28421 42820\n52201 78337\n27326 41152\n37147 55895\n19389 29225\n3399 5137\n15176 22863\n52439 78690\n75280 100000\n72017 100000\n5239 7862\n85925 100000\n15777 23782\n21010 31673\n59860 89814\n11171 16810\n28663 43191\n31904 48050\n80413 100000\n10143 15273\n75489 100000\n68326 100000\n42632 64076\n61830 92733\n84277 100000\n70109 100000\n10840 16315\n90085 100000\n92480 100000\n27330 41159\n70237 100000\n50490 75796\n76225 100000\n50722 76144\n79317 100000\n99283 100000\n16134 24316\n70640 100000\n82069 100000\n17411 26246\n56593 84894\n27510 41430\n15140 22813\n73691 100000\n47789 71762\n56452 84676\n27344 41183\n80117 100000\n63676 95501\n3598 5427\n13432 20227\n46073 69214\n83254 100000\n91628 100000\n84352 100000\n95712 100000\n15525 23394\n15082 22725\n97439 100000\n18057 27207\n86700 100000\n4373 6568\n2716 4109\n89294 100000\n78957 100000\n20299 30605\n68888 100000\n20759 31302\n33651 50628\n94974 100000\n55441 83167\n92845 100000\n74494 100000\n32177 48450\n1109 1696\n96959 100000\n96763 100000\n49384 74142\n52611 78945\n61800 92687\n40312 60629\n52626 78967\n94334 100000\n72916 100000\n85509 100000\n37346 56185\n25300 38120\n36756 55309\n21529 32446\n93726 100000\n68362 100000\n96694 100000\n22012 33181\n86190 100000\n73061 100000\n22013 33182\n4554 6849\n95089 100000\n77801 100000\n44833 67350\n63839 95750\n88923 100000\n77886 100000\n85565 100000\n34031 51199\n31124 46876\n6980 10478\n95629 100000\n75090 100000\n16040 24174\n65833 98759\n56251 84368\n38345 57692\n84241 100000\n90735 100000\n75671 100000\n20253 30544\n80336 100000\n96879 100000\n68263 100000\n70610 100000\n33238 50025\n86080 100000\n39753 59805\n64119 96181\n21136 31855\n5621 8439\n18662 28117\n77297 100000\n35589 53532\n39006 58673\n62530 93790\n44208 66423\n84390 100000\n29229 44035\n97419 100000\n17483 26351\n29411 44303\n24870 37475\n13085 19706\n28235 42533\n42631 64075\n34684 52169\n93817 100000\n27597 41564\n61766 92637\n35363 53192\n95230 100000\n20164 30412\n9716 14631\n63044 94560\n80283 100000\n38990 58649\n4343 6526\n59056 88604\n67898 100000\n26566 39999\n73133 100000\n5231 7853\n87930 100000\n64180 96266\n51910 77927\n1591 2427\n8752 13170\n98860 100000\n89920 100000\n96380 100000\n52938 79424\n56756 85133\n68649 100000\n84410 100000\n48651 73040\n13241 19945\n888 1363\n63021 94524\n47964 72026\n92496 100000\n46602 69994\n65868 98813\n41666 62641\n91154 100000\n93501 100000\n95980 100000\n99646 100000\n23847 35950\n85315 100000\n69491 100000\n77985 100000\n98393 100000\n23360 35220\n72631 100000\n42516 63902\n7018 10532\n16287 24553\n48134 72285\n53020 79548\n30370 45745\n49647 74525\n27118 40831\n34442 51809\n23548 35508\n32405 48797\n91950 100000\n12112 18243\n64255 96378\n98943 100000\n29338 44204\n35830 53894\n75990 100000\n93436 100000\n37207 55978\n9182 13810\n44459 66789\n95819 100000\n69424 100000\n78698 100000\n80196 100000\n46594 69984\n46299 69542\n24296 36639\n27760 41813\n39251 59038\n1901 2893\n84487 100000\n5944 8934\n33284 50093\n48894 73410\n7181 10785\n9318 14022\n32946 49597\n57838 86761\n26315 39633\n28173 42435\n58519 87797\n35361 53190\n13663 20582\n33411 50277\n23462 35382\n7990 12013\n77078 100000\n6666 10018\n92819 100000\n50315 75531\n83446 100000\n50471 75770\n39684 59696\n65024 97532\n21545 32472\n19879 29978\n7236 10866\n40556 60996\n18857 28400\n68433 100000\n93581 100000\n11645 17547\n45767 68760\n8114 12202\n98702 100000\n45087 67736\n48726 73160\n90996 100000\n80889 100000\n88900 100000\n45637 68569\n45718 68689\n13564 20438\n2735 4139\n56580 84878\n96167 100000\n79194 100000\n43004 64634\n63619 95419\n90175 100000\n64590 96875\n41130 61846\n48791 73257\n8298 12475\n1593 2429\n67955 100000\n35865 53943\n57079 85605\n86911 100000\n65362 98039\n53939 80942\n29930 45084\n81728 100000\n90822 100000\n11044 16616\n67892 100000\n59144 88736\n47230 70916\n95938 100000\n71757 100000\n40219 60490\n15232 22952\n44296 66548\n55304 82969\n81426 100000\n34074 51263\n43959 66064\n24711 37244\n87893 100000\n26056 39244\n60553 90837\n71954 100000\n52589 78913\n67645 100000\n52493 78771\n44395 66695\n79708 100000\n37751 56801\n24825 37409\n20746 31283\n61017 91526\n59485 89249\n58125 87200\n84867 100000\n5214 7823\n38981 58635\n65620 98432\n74445 100000\n41948 63068\n50729 76154\n5889 8848\n60269 90419\n68947 100000\n57794 86700\n2970 4488\n74044 100000\n76540 100000\n20883 31486\n71638 100000\n26618 40074\n58584 87889\n266 407\n4118 6180\n79543 100000\n4595 6906\n63475 95202\n14420 21740\n80191 100000\n67972 100000\n45919 68982\n32475 48909\n70325 100000\n58785 88199\n67029 100000\n66627 99973\n6569 9870\n7094 10655\n18810 28335\n88277 100000\n72195 100000\n93594 100000\n65095 97637\n56124 84188\n50805 76272\n69973 100000\n6813 10237\n40828 61394\n11266 16964\n71857 100000\n78994 100000\n75624 100000\n26242 39523\n43610 65542\n1282 1952\n86010 100000\n48331 72574\n7536 11324\n96988 100000\n32564 49035\n54857 82302\n11730 17681\n97452 100000\n25779 38835\n11800 17780\n12325 18564\n25962 39104\n6969 10461\n66827 100000\n92073 100000\n78436 100000\n97589 100000\n96445 100000\n71171 100000\n7542 11335\n39828 59915\n67968 100000\n42057 63224\n20881 31483\n63230 94832\n92677 100000\n98651 100000\n15972 24068\n90733 100000\n57364 86049\n25834 38918\n68207 100000\n72698 100000\n95696 100000\n98972 100000\n18675 28134\n97670 100000\n80807 100000\n85919 100000\n97995 100000\n73560 100000\n72196 100000\n30444 45858\n59309 88990\n59500 89272\n27941 42085\n10488 15782\n16847 25394\n10733 16154\n44589 66983\n83046 100000\n55788 83691\n95671 100000\n43340 65145\n70242 100000\n18269 27524\n83053 100000\n17845 26890\n85652 100000\n25588 38553\n4737 7115\n78653 100000\n1195 1825\n33134 49868\n23142 34878\n75708 100000\n41154 61881\n51763 77710\n46023 69136\n18796 28313\n95582 100000\n94601 100000\n48871 73373\n82778 100000\n21327 32140\n79191 100000\n29590 44566\n65180 97760\n97635 100000\n15905 23976\n79841 100000\n24670 37182\n79246 100000\n46761 70219\n74641 100000\n5472 8215\n75361 100000\n45170 67859\n20520 30949\n21934 33063\n84819 100000\n39458 59351\n92719 100000\n484 739\n70891 100000\n36491 54898\n66395 99625\n19184 28899\n60321 90496\n10463 15746\n51732 77664\n78425 100000\n63852 95770\n45213 67920\n63182 94764\n92624 100000\n37659 56655\n74302 100000\n45365 68149\n2081 3160\n40366 60711\n82967 100000\n25535 38475\n67105 100000\n54205 81342\n288 441\n34922 52531\n42641 64091\n32084 48310\n71999 100000\n88863 100000\n34077 51266\n25397 38266\n73767 100000\n32679 49203\n12236 18427\n34204 51442\n48200 72388\n29407 44298\n84849 100000\n9321 14026\n36137 54350\n56042 84075\n30225 45528\n62822 94222\n10166 15304\n30876 46511\n87210 100000\n60990 91487\n69320 100000\n55829 83752\n59959 89960\n51290 76994\n56524 84792\n33163 49910\n69072 100000\n77374 100000\n12347 18598\n49169 73815\n33131 49864\n23809 35888\n57692 86551\n4000 6008\n5098 7657\n71015 100000\n62425 93639\n26793 40353\n64372 96540\n27808 41885\n54643 81983\n74667 100000\n79564 100000\n29566 44530\n43982 66097\n87853 100000\n22275 33587\n37359 56207\n12377 18644\n82455 100000\n40637 61112\n76681 100000\n45103 67761\n86878 100000\n90712 100000\n43185 64907\n21810 32881\n93721 100000\n91811 100000\n29507 44439\n33160 49906\n10998 16546\n12720 19166\n63370 95048\n55740 83618\n21179 31915\n63053 94571\n94756 100000\n51602 77468\n14274 21518\n39714 59745\n7596 11414\n64300 96443\n19959 30105\n76010 100000\n66467 99727\n78494 100000\n42379 63697\n64356 96519\n77819 100000\n38266 57576\n81053 100000\n26980 40629\n4792 7200\n58066 87111\n50081 75168\n17843 26886\n39088 58796\n29102 43846\n70248 100000\n66646 100000\n56035 84065\n30522 45975\n89710 100000\n66534 99828\n43548 65450\n41372 62196\n38884 58490\n34281 51561\n26790 40348\n5526 8295\n39121 58846\n77254 100000\n53964 80983\n4261 6399\n96166 100000\n87629 100000\n83382 100000\n85981 100000\n22746 34291\n85098 100000\n37650 56644\n40230 60510\n25536 38477\n12850 19345\n19813 29871\n92897 100000\n44128 66303\n48241 72444\n30020 45222\n63935 95890\n80765 100000\n68163 100000\n72467 100000\n34664 52135\n25413 38290\n62952 94419\n76719 100000\n25132 37871\n53667 80521\n90834 100000\n95742 100000\n1252 1907\n28566 43042\n84907 100000\n4820 7243\n99029 100000\n49723 74636\n91809 100000\n59722 89607\n13431 20226\n45237 67956\n47476 71281\n21786 32846\n73330 100000\n82458 100000\n18241 27480\n66072 99126\n34042 51216\n15885 23945\n98312 100000\n11598 17479\n78792 100000\n44626 67037\n23130 34860\n96750 100000\n48323 72564\n43289 65067\n55293 82951\n17398 26228\n99840 100000\n17578 26486\n28414 42808\n51354 77089\n9331 14039\n50971 76517\n77074 100000\n53485 80242\n35600 53550\n56905 85355\n24178 36451\n61284 91922\n22541 33980\n46929 70474\n74820 100000\n94178 100000\n46802 70284\n72013 100000\n22226 33509\n75371 100000\n95846 100000\n80619 100000\n71862 100000\n50061 75137\n71975 100000\n16191 24407\n65477 98214\n32126 48372\n45518 68376\n85809 100000\n41897 62991\n80405 100000\n72546 100000\n33427 50302\n14079 21219\n89633 100000\n79063 100000\n2348 3558\n89854 100000\n47995 72071\n76797 100000\n88504 100000\n65809 98721\n27141 40867\n81099 100000\n9595 14450\n99319 100000\n96810 100000\n33266 50067\n92156 100000\n68931 100000\n49021 73593\n40911 61516\n72589 100000\n42554 63961\n61641 92443\n53675 80533\n55031 82555\n33111 49836\n48383 72650\n50692 76093\n91324 100000\n80439 100000\n68632 100000\n25365 38217\n88305 100000\n5446 8178\n13767 20743\n39510 59425\n65841 98772\n44210 66426\n54864 82310\n44249 66478\n60155 90245\n91830 100000\n65164 97739\n16472 24823\n91454 100000\n11559 17418\n7382 11091\n12968 19524\n98068 100000\n2456 3711\n83232 100000\n25248 38042\n58191 87300\n15773 23776\n48066 72177\n65259 97880\n41634 62588\n45515 68371\n4505 6776\n14230 21449\n97053 100000\n35047 52720\n4651 6987\n57186 85763\n55530 83303\n22703 34229\n48958 73499\n62289 93435\n30488 45927\n51404 77165\n60354 90545\n87073 100000\n38983 58639\n6978 10474\n30428 45834\n74656 100000\n86711 100000\n66030 99058\n48911 73431\n8676 13058\n25595 38563\n50244 75424\n3423 5171\n15070 22708\n86610 100000\n72771 100000\n24622 37111\n49032 73609\n55391 83088\n16434 24767\n65319 97969\n59676 89533\n57438 86162\n53873 80840\n23780 35845\n70258 100000\n20691 31204\n65568 98356\n59067 88621\n49451 74241\n76824 100000\n99116 100000\n18015 27140\n14076 21216\n6412 9635\n42971 64586\n15062 22696\n9616 14477\n90848 100000\n95715 100000\n46015 69122\n64494 96725\n51265 76958\n23505 35448\n2499 3779\n88758 100000\n39342 59180\n8578 12907\n12059 18170\n25681 38682\n52667 79021\n76383 100000\n77890 100000\n38513 57935\n87648 100000\n95237 100000\n60546 90828\n53420 80146\n62660 93981\n55658 83495\n77022 100000\n18367 27665\n87991 100000\n91185 100000\n77293 100000\n21266 32046\n95470 100000\n87038 100000\n91872 100000\n50858 76346\n55756 83642\n63003 94497\n52509 78794\n43117 64805\n5301 7957\n1146 1751\n77206 100000\n70701 100000\n91844 100000\n93574 100000\n52561 78871\n23514 35460\n71728 100000\n42747 64248\n90058 100000\n27862 41965\n27584 41543\n36908 55543\n76658 100000\n88299 100000\n81037 100000\n22431 33822\n6746 10141\n62832 94235\n8873 13353\n57062 85580\n53861 80819\n27948 42096\n36176 54409\n15647 23581\n326 499\n22373 33733\n28599 43092\n76590 100000\n97653 100000\n96255 100000\n51232 76911\n26687 40190\n74711 100000\n32467 48895\n40332 60657\n86786 100000\n83649 100000\n59813 89742\n94442 100000\n81908 100000\n97600 100000\n8776 13206\n30678 46209\n40345 60678\n59892 89866\n17727 26711\n32378 48756\n88872 100000\n85246 100000\n76485 100000\n8896 13384\n17609 26536\n30336 45693\n73345 100000\n75328 100000\n25819 38897\n48884 73394\n1049 1601\n59862 89817\n96854 100000\n375 576\n30817 46422\n16254 24502\n36040 54205\n90198 100000\n68459 100000\n26146 39382\n19174 28883\n70031 100000\n83664 100000\n28117 42351\n90642 100000\n61686 92513\n66569 99879\n68562 100000\n50953 76493\n44097 66261\n85371 100000\n91257 100000\n35002 52651\n86251 100000\n55745 83625\n3582 5403\n14629 22052\n87840 100000\n5059 7600\n42876 64440\n15544 23419\n73016 100000\n21800 32866\n46760 70217\n14269 21510\n40049 60241\n10141 15269\n59858 89810\n13064 19672\n73784 100000\n10628 15987\n89315 100000\n19438 29303\n27743 41784\n23317 35156\n13826 20828\n60552 90836\n23909 36043\n62043 93051\n71515 100000\n30889 46531\n51044 76629\n84102 100000\n74109 100000\n1387 2124\n20342 30669\n9379 14108\n78710 100000\n85831 100000\n17951 27049\n15195 22894\n20338 30662\n32608 49098\n77916 100000\n47682 71594\n21876 32977\n28706 43259\n53948 80958\n73849 100000\n37927 57068\n19052 28696\n12260 18466\n74154 100000\n23894 36019\n53867 80831\n27560 41508\n53857 80813\n22690 34211\n42628 64071\n27016 40683\n36751 55301\n90594 100000\n74849 100000\n88266 100000\n21053 31736\n86581 100000\n92504 100000\n38608 58079\n96117 100000\n31252 47064\n16812 25343\n17642 26579\n3804 5728\n34786 52318\n48293 72515\n8764 13189\n57111 85652\n66422 99663\n98206 100000\n77720 100000\n76794 100000\n45689 68648\n99071 100000\n59130 88716\n50495 75804\n12811 19294\n9836 14804\n3265 4935\n8099 12181\n45796 68802\n10156 15293\n28524 42971\n32619 49114\n86152 100000\n1537 2344\n84557 100000\n85171 100000\n26436 39812\n15207 22912\n10311 15523\n23184 34944\n37505 56430\n53111 79692\n67815 100000\n87673 100000\n93506 100000\n70897 100000\n41972 63105\n22747 34292\n50774 76224\n47252 70951\n4448 6689\n87832 100000\n92025 100000\n19973 30125\n24173 36443\n39768 59826\n12618 19011\n70407 100000\n60669 91010\n73787 100000\n94945 100000\n41942 63058\n93278 100000\n38342 57687\n31290 47118\n56679 85022\n53584 80395\n52267 78439\n16588 25001\n9818 14778\n69614 100000\n50831 76308\n94462 100000\n19510 29408\n70841 100000\n35433 53296\n46749 70203\n11080 16674\n65293 97928\n51761 77708\n46993 70568\n73364 100000\n36289 54577\n12595 18973\n72360 100000\n71217 100000\n28985 43673\n95954 100000\n55832 83757\n63122 94675\n62567 93844\n35128 52840\n19780 29825\n35123 52831\n54890 82347\n1087 1663\n36523 54943\n56579 84876\n96404 100000\n88253 100000\n6169 9273\n2875 4342\n62710 94058\n86172 100000\n44743 67214\n20807 31375\n80341 100000\n7914 11896\n98930 100000\n29647 44650\n40820 61383\n98332 100000\n75889 100000\n33040 49734\n46191 69388\n26089 39296\n1327 2023\n65581 98376\n25359 38208\n11411 17195\n57853 86784\n37843 56935\n65039 97554\n74215 100000\n13439 20238\n45530 68394\n73411 100000\n79537 100000\n40392 60745\n31699 47750\n44949 67531\n77340 100000\n69606 100000\n46550 69916\n7844 11791\n19489 29378\n24433 36845\n80851 100000\n22884 34499\n97071 100000\n83008 100000\n61408 92100\n14986 22586\n58822 88254\n96010 100000\n79670 100000\n72714 100000\n41712 62707\n2727 4126\n95913 100000\n66926 100000\n63966 95940\n16902 25482\n19828 29896\n60727 91098\n67282 100000\n40076 60282\n3529 5332\n9883 14879\n18316 27596\n36417 54783\n14547 21931\n50672 76064\n36064 54243\n5915 8890\n71493 100000\n41359 62179\n56521 84787\n1274 1940\n18495 27865\n19974 30126\n52966 79469\n35512 53414\n62816 94214\n29390 44272\n53506 80277\n5525 8293\n93916 100000\n51191 76858\n34632 52084\n18046 27187\n84954 100000\n87200 100000\n44389 66686\n89170 100000\n77880 100000\n77968 100000\n99618 100000\n6917 10388\n199 305\n27579 41536\n94171 100000\n48252 72460\n56488 84733\n80052 100000\n17284 26062\n37350 56191\n2242 3396\n49457 74249\n8919 13420\n19614 29571\n6713 10084\n10907 16414\n1693 2576\n39323 59147\n41905 63003\n1453 2223\n44939 67515\n76906 100000\n89127 100000\n88196 100000\n77821 100000\n2147 3255\n32574 49048\n87921 100000\n5138 7713\n18635 28075\n39306 59121\n57182 85759\n13422 20213\n46809 70295\n42054 63219\n35899 53996\n38030 57221\n36578 55027\n78040 100000\n18293 27559\n2821 4265\n31618 47631\n92503 100000\n75544 100000\n50398 75660\n49611 74474\n42832 64372\n31511 47455\n83886 100000\n97790 100000\n69695 100000\n47947 72004\n5901 8866\n6281 9442\n12687 19113\n13257 19966\n24088 36317\n5620 8437\n62264 93400\n14454 21794\n18196 27414\n11792 17769\n19590 29531\n72304 100000\n5170 7760\n27415 41290\n4723 7094\n41026 61690\n37165 55920\n8331 12528\n72027 100000\n42645 64096\n60061 90112\n14779 22280\n55374 83066\n50339 75571\n12162 18319\n162 244\n65730 98602\n98865 100000\n96848 100000\n60633 90960\n29314 44166\n71259 100000\n88057 100000\n3251 4913\n58827 88263\n99047 100000\n93322 100000\n53454 80196\n16355 24651\n1158 1770\n30787 46376\n10577 15911\n56443 84664\n55131 82707\n99570 100000\n58456 87704\n82937 100000\n89183 100000\n63794 95688\n75734 100000\n50157 75287\n41250 62025\n61420 92119\n97205 100000\n67489 100000\n73922 100000\n16459 24803\n7394 11111\n27451 41343\n82666 100000\n43058 64711\n42959 64565\n88366 100000\n96816 100000\n89058 100000\n85742 100000\n83682 100000\n74211 100000\n25438 38329\n53680 80540\n28943 43612\n75809 100000\n21704 32724\n88214 100000\n9783 14725\n4073 6119\n29305 44152\n29200 43997\n70400 100000\n33958 51087\n17724 26707\n32191 48471\n85924 100000\n94242 100000\n50965 76510\n68534 100000\n39255 59044\n47765 71725\n31363 47227\n87069 100000\n98886 100000\n78827 100000\n31779 47863\n63028 94533\n73195 100000\n27507 41426\n25660 38652\n60555 90839\n91256 100000\n88775 100000\n68209 100000\n10338 15560\n41382 62211\n89786 100000\n3838 5776\n30045 45259\n36524 54945\n71538 100000\n72575 100000\n71783 100000\n46958 70519\n92633 100000\n94767 100000\n49506 74325\n22396 33772\n99642 100000\n99259 100000\n41639 62597\n59534 89319\n33844 50918\n57739 86617\n46598 69988\n22582 34048\n84387 100000\n47763 71721\n9965 15004\n66566 99875\n23038 34732\n35660 53641\n99475 100000\n69802 100000\n45 72\n74002 100000\n85101 100000\n51722 77650\n62645 93960\n67228 100000\n42761 64268\n85610 100000\n34362 51685\n41787 62819\n974 1489\n25736 38767\n10909 16416\n5727 8602\n47914 71951\n1469 2248\n25608 38582\n18096 27267\n40592 61048\n42592 64020\n27926 42064\n43831 65878\n90540 100000\n12400 18679\n25036 37732\n87387 100000\n23930 36072\n92263 100000\n1169 1788\n51807 77773\n95044 100000\n16306 24581\n60856 91294\n24732 37277\n98937 100000\n90892 100000\n4225 6344\n97294 100000\n4586 6894\n68966 100000\n36562 55003\n43259 65020\n90517 100000\n94894 100000\n80558 100000\n55730 83603\n58011 87027\n60478 90730\n90740 100000\n23259 35056\n27327 41154\n26720 40240\n21900 33013\n3203 4842\n46126 69294\n67227 100000\n29956 45123\n69953 100000\n88898 100000\n90022 100000\n5270 7914\n534 818\n92124 100000\n80682 100000\n82607 100000\n37235 56017\n40229 60508\n86585 100000\n5347 8027\n61990 92975\n77693 100000\n99556 100000\n93422 100000\n21440 32309\n62815 94213\n40316 60635\n86436 100000\n9023 13578\n73515 100000\n15377 23163\n26826 40399\n34892 52485\n95997 100000\n41070 61758\n63630 95432\n97074 100000\n54500 81769\n89318 100000\n13613 20507\n72374 100000\n94415 100000\n59947 89943\n60077 90135\n15881 23941\n63551 95313\n39075 58778\n12702 19137\n34489 51876\n40057 60254\n82335 100000\n71966 100000\n13808 20800\n78250 100000\n47850 71855\n3784 5698\n79411 100000\n44552 66927\n38007 57189\n19288 29064\n35383 53223\n32642 49145\n6686 10046\n38241 57537\n7885 11852\n37221 55997\n48595 72954\n3365 5086\n44722 67183\n20857 31449\n17883 26951\n91605 100000\n73068 100000\n54801 82221\n86959 100000\n86090 100000\n52276 78453\n89568 100000\n55087 82641\n71535 100000\n17363 26174\n315 483\n21310 32114\n65743 98620\n46259 69486\n79454 100000\n28007 42179\n74713 100000\n63024 94528\n4035 6060\n5151 7731\n76885 100000\n71440 100000\n72240 100000\n57950 86933\n79226 100000\n99749 100000\n5431 8155\n97543 100000\n94155 100000\n70993 100000\n56306 84456\n79917 100000\n47212 70887\n3757 5658\n97629 100000\n74335 100000\n85845 100000\n98185 100000\n92817 100000\n5419 8135\n65627 98442\n53782 80698\n12263 18471\n55850 83788\n63416 95115\n93975 100000\n84215 100000\n694 1064\n22585 34054\n26087 39293\n12218 18400\n48743 73186\n65586 98384\n5333 8008\n58423 87655\n91875 100000\n63224 94825\n6741 10133\n44601 67003\n94621 100000\n67823 100000\n63800 95697\n87982 100000\n90636 100000\n66445 99697\n30737 46298\n17984 27098\n25020 37705\n93483 100000\n44895 67451\n97883 100000\n23500 35442\n94001 100000\n40072 60277\n81935 100000\n15581 23478\n85433 100000\n83126 100000\n13627 20527\n21811 32883\n48328 72570\n25509 38440\n14206 21411\n45069 67708\n70663 100000\n45910 68970\n6503 9777\n79467 100000\n24922 37553\n49181 73834\n58612 87935\n43702 65686\n99171 100000\n87538 100000\n59700 89575\n68940 100000\n15495 23343\n13940 21013\n89404 100000\n8731 13138\n34703 52195\n8315 12502\n86826 100000\n81962 100000\n21197 31940\n32799 49377\n5432 8157\n28709 43263\n76659 100000\n34815 52364\n32471 48902\n23024 34708\n72697 100000\n65003 97498\n49220 73897\n74428 100000\n87477 100000\n62550 93818\n71986 100000\n1245 1896\n21228 31987\n81786 100000\n7968 11977\n84861 100000\n20483 30892\n19940 30077\n18487 27852\n86866 100000\n60238 90373\n60440 90673\n68313 100000\n54660 82010\n19580 29514\n74214 100000\n35302 53101\n7189 10796\n95072 100000\n36747 55295\n77250 100000\n62846 94258\n17156 25872\n84890 100000\n82115 100000\n2254 3414\n11146 16775\n28930 43593\n62145 93210\n90375 100000\n63288 94921\n33919 51028\n787 1213\n20122 30348\n39743 59789\n14334 21600\n90950 100000\n92553 100000\n16645 25086\n92507 100000\n9175 13799\n7795 11714\n31065 46786\n96846 100000\n69372 100000\n6075 9140\n93550 100000\n42544 63948\n52036 78109\n22392 33766\n34854 52425\n49862 74845\n55368 83058\n31621 47635\n92849 100000\n84006 100000\n66845 100000\n13997 21100\n57985 86989\n37048 55747\n29033 43744\n59905 89883\n36510 54923\n94278 100000\n95216 100000\n80222 100000\n67944 100000\n70637 100000\n89260 100000\n9195 13828\n50469 75767\n21319 32128\n59767 89674\n37026 55713\n26040 39222\n77684 100000\n14537 21915\n99218 100000\n73381 100000\n83608 100000\n44526 66885\n15989 24093\n11136 16758\n71803 100000\n36003 54150\n31981 48157\n61900 92841\n52920 79398\n66405 99640\n28813 43423\n93545 100000\n50859 76348\n35810 53864\n96226 100000\n7243 10877\n97103 100000\n53331 80004\n22962 34617\n98802 100000\n68079 100000\n98447 100000\n26395 39754\n61770 92645\n71134 100000\n2764 4182\n20844 31429\n23247 35038\n32178 48452\n98325 100000\n83000 100000\n90430 100000\n38246 57546\n96164 100000\n24631 37123\n67888 100000\n16538 24924\n30922 46580\n93584 100000\n14341 21610\n31597 47596\n57336 86004\n61324 91974\n92577 100000\n66970 100000\n63553 95316\n34731 52236\n42087 63268\n79227 100000\n42068 63240\n83927 100000\n76356 100000\n91765 100000\n22283 33597\n69373 100000\n55995 84004\n24486 36924\n50622 75991\n3871 5821\n75262 100000\n55807 83718\n3417 5159\n69739 100000\n88404 100000\n15325 23088\n57056 85571\n97323 100000\n2888 4363\n26851 40438\n6756 10155\n90729 100000\n7549 11345\n25925 39051\n24029 36227\n30273 45598\n50648 76027\n61792 92677\n41679 62659\n18251 27495\n77314 100000\n88663 100000\n82806 100000\n32164 48431\n31166 46943\n12140 18284\n70207 100000\n86505 100000\n42171 63393\n61560 92320\n55100 82658\n77622 100000\n68062 100000\n19415 29266\n69502 100000\n5555 8340\n46029 69145\n94900 100000\n63360 95030\n43421 65266\n18019 27146\n69445 100000\n87228 100000\n92029 100000\n43639 65587\n82809 100000\n39619 59596\n26019 39190\n2992 4520\n86987 100000\n18910 28480\n88104 100000\n63596 95379\n25853 38947\n53649 80494\n54564 81863\n58698 88066\n48529 72861\n56126 84192\n23540 35495\n56261 84381\n84947 100000\n16082 24238\n4025 6044\n76077 100000\n88296 100000\n46179 69368\n29716 44758\n19443 29309\n61481 92203\n80626 100000\n70219 100000\n32818 49404\n41473 62348\n38015 57199\n77331 100000\n34285 51568\n46362 69637\n88014 100000\n36818 55401\n76652 100000\n91596 100000\n14033 21151\n24284 36622\n27036 40714\n73492 100000\n83860 100000\n44499 66844\n29261 44087\n18171 27374\n72000 100000\n7595 11412\n69093 100000\n73858 100000\n45179 67872\n79224 100000\n66826 100000\n35579 53517\n99808 100000\n1873 2856\n32017 48209\n45708 68676\n56693 85045\n55284 82936\n3981 5978\n5552 8336\n44799 67298\n76535 100000\n97301 100000\n73459 100000\n59743 89638\n61696 92528\n83262 100000\n58132 87210\n7305 10971\n37792 56862\n76233 100000\n11106 16714\n29223 44026\n20102 30316\n90865 100000\n36152 54373\n67907 100000\n45792 68797\n4731 7106\n28790 43387\n47873 71886\n71654 100000\n32697 49231\n46475 69807\n1352 2065\n44936 67510\n61412 92107\n15011 22623\n96866 100000\n43645 65595\n23850 35953\n13984 21080\n31253 47065\n95847 100000\n44418 66730\n53155 79753\n13524 20374\n47055 70656\n53367 80063\n46365 69643\n31169 46948\n2324 3521\n61187 91775\n99344 100000\n42990 64615\n83098 100000\n66301 99480\n37524 56460\n35751 53775\n51698 77614\n51697 77613\n33929 51041\n97182 100000\n5729 8606\n28055 42253\n45782 68780\n729 1122\n26673 40167\n32040 48247\n42044 63206\n8736 13145\n36492 54899\n39055 58747\n69418 100000\n91822 100000\n67290 100000\n48742 73185\n11691 17618\n59663 89514\n60470 90717\n38840 58416\n28130 42371\n67273 100000\n75240 100000\n38276 57592\n8415 12658\n54558 81853\n75666 100000\n90402 100000\n68801 100000\n43535 65428\n69471 100000\n19561 29485\n44352 66630\n894 1372\n63950 95914\n29254 44073\n54610 81936\n33866 50950\n3902 5866\n40955 61582\n91907 100000\n69791 100000\n97007 100000\n6257 9407\n58241 87372\n80742 100000\n53702 80575\n17901 26979\n20584 31045\n20555 31006\n94872 100000\n14449 21788\n86006 100000\n85373 100000\n48471 72777\n89380 100000\n77128 100000\n32751 49306\n87057 100000\n70602 100000\n18591 28009\n79583 100000\n28675 43212\n61615 92399\n29287 44126\n28595 43085\n90749 100000\n56465 84698\n55026 82548\n22269 33577\n97939 100000\n74547 100000\n37813 56888\n11925 17970\n71805 100000\n76455 100000\n69196 100000\n87567 100000\n70083 100000\n56918 85374\n66806 100000\n18571 27981\n7919 11905\n44637 67055\n59996 90017\n21729 32756\n1365 2088\n26900 40513\n87947 100000\n15664 23608\n34455 51829\n67578 100000\n46084 69229\n24926 37558\n47087 70710\n53629 80461\n47639 71528\n91677 100000\n8175 12296\n41318 62122\n49644 74521\n7089 10649\n86056 100000\n62831 94233\n18627 28064\n46863 70374\n28574 43056\n3287 4967\n34660 52129\n23363 35224\n53575 80380\n73603 100000\n38547 57985\n19374 29202\n53245 79883\n58264 87403\n40758 61291\n29760 44826\n54236 81386\n88208 100000\n58969 88473\n40714 61226\n83119 100000\n48373 72634\n63569 95339\n16227 24462\n21092 31792\n13494 20326\n7585 11398\n12617 19010\n89917 100000\n66261 99419\n29631 44626\n79786 100000\n57862 86797\n36915 55554\n13279 19997\n34034 51203\n37683 56692\n57650 86485\n97176 100000\n44066 66215\n97799 100000\n93351 100000\n37552 56500\n23996 36175\n76559 100000\n91784 100000\n29732 44783\n97749 100000\n8580 12910\n4660 6998\n91431 100000\n48285 72505\n10076 15173\n23798 35872\n57453 86185\n48981 73532\n15737 23719\n69696 100000\n61891 92828\n58880 88336\n91375 100000\n97940 100000\n23087 34800\n25441 38332\n22965 34621\n86941 100000\n96051 100000\n74804 100000\n5658 8495\n87059 100000\n95833 100000\n77699 100000\n73619 100000\n69088 100000\n63168 94743\n4652 6988\n77597 100000\n7831 11769\n90295 100000\n19149 28845\n87993 100000\n69654 100000\n79809 100000\n96272 100000\n65251 97866\n7970 11979\n75221 100000\n27364 41212\n9782 14723\n93456 100000\n84414 100000\n25977 39124\n74173 100000\n73036 100000\n37677 56683\n33890 50984\n14158 21339\n98967 100000\n83559 100000\n37405 56278\n90877 100000\n42209 63453\n62683 94019\n3473 5246\n50543 75874\n92984 100000\n69975 100000\n64639 96946\n192 295\n93398 100000\n97461 100000\n96923 100000\n99869 100000\n38810 58374\n95698 100000\n72488 100000\n86322 100000\n6737 10127\n76819 100000\n2909 4397\n26450 39832\n24992 37663\n97035 100000\n24324 36682\n25894 39006\n6415 9640\n65907 98875\n44487 66829\n83375 100000\n96069 100000\n83264 100000\n33049 49748\n64319 96467\n45611 68526\n19665 29645\n77541 100000\n69044 100000\n17653 26595\n8756 13176\n41203 61955\n74487 100000\n48633 73010\n43668 65631\n81302 100000\n70280 100000\n9361 14083\n81988 100000\n39438 59319\n25752 38792\n20318 30632\n66658 100000\n55342 83023\n69506 100000\n28217 42507\n23138 34872\n62296 93448\n87799 100000\n68355 100000\n44022 66155\n41093 61790\n84800 100000\n59774 89683\n16198 24418\n41308 62108\n40102 60318\n39946 60089\n63561 95327\n70517 100000\n43795 65824\n29861 44977\n74981 100000\n67711 100000\n29352 44222\n10656 16031\n75267 100000\n3068 4634\n91104 100000\n54025 81075\n11272 16973\n89263 100000\n67447 100000\n49420 74194\n3945 5929\n94532 100000\n28233 42530\n20355 30692\n60386 90591\n67923 100000\n90576 100000\n11317 17042\n13234 19932\n26451 39833\n8141 12244\n27279 41081\n61744 92603\n44285 66532\n73913 100000\n99889 100000\n4412 6630\n8368 12585\n31081 46810\n17759 26762\n16117 24289\n52259 78426\n55378 83070\n36824 55410\n78694 100000\n75775 100000\n39670 59675\n70235 100000\n46545 69909\n96219 100000\n49430 74211\n31850 47969\n29025 43730\n16882 25450\n11865 17880\n74765 100000\n62441 93665\n82942 100000\n18120 27302\n19108 28784\n84257 100000\n85349 100000\n66801 100000\n51852 77838\n24936 37574\n18263 27513\n51141 76781\n13933 20999\n77561 100000\n39352 59193\n79134 100000\n32783 49355\n9001 13548\n61300 91945\n25549 38495\n97610 100000\n72679 100000\n74421 100000\n90974 100000\n28369 42738\n84995 100000\n7760 11662\n25403 38274\n38919 58540\n66522 99810\n69778 100000\n38511 57933\n24426 36837\n22519 33949\n11458 17261\n68384 100000\n90519 100000\n88471 100000\n13295 20019\n32087 48315\n7068 10613\n60571 90865\n53369 80067\n83656 100000\n62582 93868\n97970 100000\n28206 42490\n8738 13148\n58761 88167\n47485 71293\n8531 12831\n95524 100000\n91643 100000\n39517 59435\n53877 80845\n9306 14005\n27568 41522\n90146 100000\n21453 32330\n10498 15799\n91434 100000\n52457 78720\n4319 6491\n89233 100000\n89587 100000\n75358 100000\n95290 100000\n63662 95479\n91274 100000\n2556 3871\n60151 90240\n98186 100000\n99005 100000\n89235 100000\n65266 97890\n24405 36803\n54231 81377\n4110 6171\n83904 100000\n15578 23473\n7065 10609\n249 382\n94355 100000\n29516 44454\n44549 66924\n31814 47912\n70343 100000\n56413 84619\n21558 32492\n78606 100000\n36421 54789\n92355 100000\n14766 22261\n72940 100000\n26033 39209\n61752 92614\n70495 100000\n40815 61374\n23144 34882\n10074 15170\n7416 11145\n88030 100000\n71880 100000\n94972 100000\n49467 74264\n17032 25676\n93569 100000\n23986 36162\n33255 50051\n34142 51353\n83338 100000\n48992 73549\n50795 76258\n75817 100000\n5770 8673\n86760 100000\n21539 32463\n85959 100000\n24749 37303\n53601 80421\n11019 16581\n36019 54174\n38634 58120\n79340 100000\n86002 100000\n15049 22674\n81777 100000\n88461 100000\n81952 100000\n83694 100000\n98848 100000\n73479 100000\n10727 16143\n58578 87882\n75027 100000\n95632 100000\n35527 53437\n46952 70509\n82958 100000\n6630 9962\n98679 100000\n25920 39044\n14581 21978\n30435 45845\n8739 13150\n80262 100000\n39340 59176\n10115 15229\n16888 25459\n46595 69985\n21896 33006\n81339 100000\n12627 19025\n44935 67509\n18648 28095\n42901 64474\n13788 20771\n4260 6398\n50065 75143\n74781 100000\n35023 52684\n67594 100000\n68037 100000\n32763 49325\n89922 100000\n76759 100000\n34524 51931\n19007 28628\n9476 14258\n40203 60467\n75926 100000\n25631 38613\n85971 100000\n28182 42450\n31868 47996\n54172 81293\n3387 5117\n52618 78956\n58615 87938\n57567 86360\n19092 28760\n26960 40600\n68785 100000\n38555 57997\n49418 74191\n30011 45208\n41528 62431\n88870 100000\n30532 45993\n38892 58500\n84262 100000\n31487 47417\n56900 85348\n39663 59663\n85325 100000\n30001 45192\n92258 100000\n84231 100000\n66012 99033\n42043 63204\n98521 100000\n46528 69882\n13681 20609\n29677 44695\n54000 81036\n89604 100000\n1874 2858\n82686 100000\n44437 66757\n81822 100000\n13518 20365\n46644 70056\n83381 100000\n66890 100000\n41763 62779\n99105 100000\n85385 100000\n911 1395\n82073 100000\n59573 89381\n38314 57645\n8760 13183\n10458 15739\n25589 38554\n96621 100000\n36859 55465\n56587 84887\n57771 86663\n90603 100000\n61795 92682\n86676 100000\n96146 100000\n45916 68978\n1596 2433\n65970 98970\n95840 100000\n3249 4909\n15485 23327\n42113 63311\n54910 82374\n33939 51056\n75425 100000\n78610 100000\n89449 100000\n41211 61967\n49626 74495\n38882 58486\n37238 56021\n49563 74401\n85387 100000\n15516 23378\n49294 74004\n48408 72683\n12459 18769\n99473 100000\n67397 100000\n61282 91920\n30642 46153\n45979 69072\n81866 100000\n68457 100000\n28334 42689\n34130 51338\n6931 10410\n45351 68130\n34200 51436\n51168 76822\n50266 75455\n19236 28980\n37698 56717\n58099 87159\n93356 100000\n45438 68255\n6979 10476\n20320 30635\n49571 74413\n28467 42890\n60837 91264\n97130 100000\n24532 36991\n48299 72526\n44661 67091\n81111 100000\n22648 34149\n67545 100000\n64747 97118\n86396 100000\n82102 100000\n68227 100000\n31831 47942\n6945 10426\n12583 18953\n42405 63736\n6343 9535\n386 595\n38899 58511\n2415 3647\n80302 100000\n68639 100000\n27581 41539\n44748 67222\n9612 14472\n77614 100000\n13415 20205\n7400 11121\n32234 48540\n80813 100000\n74375 100000\n87426 100000\n2046 3110\n76474 100000\n2055 3125\n88659 100000\n27079 40778\n58533 87815\n17941 27034\n11243 16926\n8817 13272\n79480 100000\n72544 100000\n39976 60135\n2145 3251\n37182 55944\n61599 92377\n17169 25890\n69331 100000\n40298 60610\n79099 100000\n90967 100000\n77160 100000\n82108 100000\n19861 29947\n47207 70879\n93606 100000\n71131 100000\n99701 100000\n63071 94596\n36180 54417\n73400 100000\n25401 38271\n19186 28903\n99903 100000\n67276 100000\n64179 96265\n36832 55421\n59788 89706\n50357 75597\n35956 54078\n72582 100000\n55141 82720\n39366 59214\n11876 17897\n10154 15290\n61549 92303\n88535 100000\n19133 28819\n30271 45595\n19712 29718\n36255 54523\n37973 57141\n60792 91200\n77732 100000\n72335 100000\n82187 100000\n43985 66102\n75918 100000\n95239 100000\n54673 82028\n6090 9161\n87199 100000\n19492 29382\n58890 88351\n24443 36859\n69274 100000\n36283 54568\n79418 100000\n68098 100000\n19136 28824\n17652 26593\n6664 10016\n37691 56704\n50873 76370\n82482 100000\n48634 73011\n55689 83541\n84826 100000\n36560 54999\n72099 100000\n20771 31318\n78759 100000\n30949 46620\n25467 38374\n50890 76395\n26205 39470\n84420 100000\n47872 71884\n32563 49034\n8748 13163\n2762 4179\n41983 63121\n57968 86964\n3673 5533\n57504 86259\n4558 6854\n25583 38546\n72161 100000\n24025 36222\n6255 9404\n671 1030\n8624 12979\n74957 100000\n59505 89279\n87929 100000\n1256 1914\n70839 100000\n94467 100000\n29394 44278\n728 1120\n95163 100000\n3059 4621\n52380 78602\n71127 100000\n98138 100000\n1533 2340\n30715 46264\n7992 12016\n43249 65007\n36792 55363\n8572 12897\n64786 97177\n29267 44096\n69732 100000\n84391 100000\n18760 28263\n51121 76744\n46351 69617\n50199 75350\n87193 100000\n22116 33343\n61331 91986\n20014 30183\n15463 23294\n41036 61708\n41706 62698\n48920 73447\n84515 100000\n41964 63093\n93746 100000\n74696 100000\n68081 100000\n73142 100000\n70921 100000\n1768 2691\n78492 100000\n54216 81357\n16586 24998\n25759 38803\n75231 100000\n6318 9496\n52792 79210\n16992 25614\n84612 100000\n51158 76806\n81326 100000\n81492 100000\n8595 12936\n12381 18651\n23067 34773\n77144 100000\n6621 9948\n75929 100000\n73648 100000\n52088 78176\n52668 79022\n598 918\n41329 62140\n70113 100000\n2548 3859\n69831 100000\n16269 24524\n61474 92193\n31032 46733\n5544 8323\n12912 19436\n96366 100000\n94195 100000\n38075 57288\n50573 75922\n25694 38704\n17950 27048\n96106 100000\n62034 93037\n34846 52411\n54732 82115\n94735 100000\n26149 39386\n79365 100000\n29468 44380\n43580 65498\n96862 100000\n17 27\n19015 28640\n47321 71056\n57334 86000\n72981 100000\n6609 9930\n8988 13529\n58743 88137\n75744 100000\n7519 11298\n59478 89239\n70332 100000\n49110 73725\n9004 13553\n26959 40598\n43378 65203\n53606 80428\n44998 67604\n3522 5322\n81216 100000\n21240 32005\n9728 14651\n42691 64160\n51307 77020\n65138 97700\n46796 70275\n71578 100000\n58478 87733\n69250 100000\n35187 52936\n9814 14771\n173 262\n58016 87036\n62423 93636\n96683 100000\n70272 100000\n82378 100000\n29604 44586\n82204 100000\n89704 100000\n49580 74427\n11616 17503\n90289 100000\n87810 100000\n75848 100000\n77510 100000\n38920 58542\n72039 100000\n59319 89008\n30144 45410\n17171 25894\n57606 86420\n83772 100000\n63482 95213\n19280 29049\n2668 4039\n4431 6659\n86383 100000\n65315 97962\n73966 100000\n36010 54160\n85400 100000\n93825 100000\n53840 80786\n92473 100000\n61039 91558\n84147 100000\n33715 50728\n36821 55404\n43716 65707\n31919 48070\n41681 62662\n89489 100000\n16825 25361\n842 1294\n83984 100000\n53631 80464\n9918 14936\n3288 4969\n62680 94014\n71619 100000\n32859 49469\n33401 50262\n43082 64748\n49085 73688\n92865 100000\n67314 100000\n1139 1741\n61001 91503\n67953 100000\n75891 100000\n64235 96351\n89535 100000\n74258 100000\n32052 48264\n18683 28148\n2205 3340\n24695 37219\n56438 84657\n31563 47539\n33348 50185\n76796 100000\n47612 71485\n92270 100000\n44465 66797\n11999 18079\n17611 26539\n63426 95130\n52837 79273\n99318 100000\n51598 77462\n190 292\n94819 100000\n41216 61973\n40721 61238\n31170 46949\n80156 100000\n37871 56979\n63104 94649\n44422 66736\n44479 66816\n29546 44499\n88419 100000\n80717 100000\n95766 100000\n51790 77750\n18170 27373\n17752 26750\n11210 16873\n96616 100000\n59645 89487\n22807 34383\n2184 3309\n83274 100000\n97436 100000\n80804 100000\n29973 45150\n92303 100000\n87343 100000\n29945 45106\n74733 100000\n96339 100000\n87923 100000\n39837 59926\n45867 68903\n48366 72623\n7422 11154\n51683 77591\n26441 39819\n22623 34115\n65751 98634\n55650 83484\n15289 23037\n898 1379\n74063 100000\n1820 2772\n70594 100000\n3351 5066\n44871 67412\n75441 100000\n8289 12462\n28815 43426\n95966 100000\n89257 100000\n55420 83136\n75948 100000\n442 678\n62364 93547\n92121 100000\n82995 100000\n28507 42947\n63462 95182\n64862 97290\n73789 100000\n51772 77723\n36766 55323\n455 700\n2858 4318\n41776 62800\n91981 100000\n78132 100000\n43746 65750\n70042 100000\n26011 39175\n17136 25840\n93168 100000\n67272 100000\n57479 86223\n3785 5700\n52329 78532\n61751 92612\n34908 52509\n66699 100000\n96136 100000\n54524 81801\n74259 100000\n91099 100000\n88648 100000\n46279 69513\n44625 67036\n48710 73133\n90725 100000\n66734 100000\n12281 18498\n15063 22698\n51651 77541\n33368 50212\n16369 24673\n6994 10499\n5779 8686\n56307 84457\n68756 100000\n90347 100000\n19359 29177\n93245 100000\n54530 81811\n56081 84124\n33466 50356\n56985 85469\n58892 88353\n73349 100000\n82940 100000\n14692 22150\n80377 100000\n75769 100000\n18381 27683\n58961 88461\n80319 100000\n33246 50036\n41820 62867\n12500 18834\n58308 87471\n14505 21866\n24661 37168\n7465 11216\n64750 97122\n96044 100000\n86318 100000\n86375 100000\n55663 83501\n80524 100000\n78809 100000\n13383 20154\n87569 100000\n2977 4499\n13412 20200\n32408 48802\n79889 100000\n77569 100000\n17122 25815\n68688 100000\n71021 100000\n27354 41196\n56012 84033\n36943 55592\n37080 55788\n47496 71311\n80766 100000\n13151 19805\n52390 78621\n70933 100000\n79919 100000\n43470 65337\n82197 100000\n23870 35981\n41851 62919\n25249 38044\n42088 63269\n43981 66095\n62501 93748\n60978 91468\n90933 100000\n55358 83042\n43723 65715\n53698 80569\n9477 14259\n8520 12816\n86848 100000\n70065 100000\n3820 5752\n18460 27808\n93694 100000\n9364 14087\n76684 100000\n37103 55825\n64742 97110\n89389 100000\n18887 28447\n90104 100000\n71800 100000\n8514 12806\n49058 73647\n98709 100000\n57007 85501\n72673 100000\n67642 100000\n45094 67747\n82906 100000\n9989 15039\n81066 100000\n10470 15757\n92830 100000\n54629 81962\n81434 100000\n9588 14439\n65892 98852\n33936 51051\n2608 3947\n13391 20167\n59562 89362\n76417 100000\n91293 100000\n8036 12084\n6026 9061\n55946 83933\n14741 22226\n99092 100000\n17253 26017\n18862 28409\n78641 100000\n10935 16452\n75219 100000\n50033 75093\n50639 76016\n33063 49766\n97505 100000\n38954 58594\n79109 100000\n91563 100000\n8651 13021\n23132 34863\n82272 100000\n75104 100000\n47315 71044\n2325 3522\n64331 96484\n36622 55099\n84308 100000\n87906 100000\n66865 100000\n53198 79815\n89678 100000\n38333 57675\n52373 78593\n84726 100000\n42711 64192\n38856 58439\n61167 91749\n85822 100000\n37454 56357\n12553 18908\n16891 25464\n11030 16595\n6818 10245\n12925 19456\n38154 57402\n9600 14457\n27677 41685\n72948 100000\n9007 13557\n63392 95083\n29787 44869\n79294 100000\n44306 66563\n58087 87143\n17880 26947\n17494 26366\n5877 8829\n48566 72909\n65958 98954\n62658 93978\n40437 60814\n14169 21355\n41526 62429\n40163 60406\n79430 100000\n86148 100000\n1380 2113\n37301 56115\n16114 24285\n67250 100000\n81373 100000\n34915 52520\n37034 55727\n98573 100000\n4120 6184\n27713 41739\n64553 96818\n66921 100000\n4315 6486\n49529 74357\n28887 43529\n346 531\n64357 96520\n78262 100000\n86909 100000\n20243 30528\n36683 55196\n64020 96026\n9888 14887\n24577 37047\n62244 93369\n18220 27450\n6435 9670\n99213 100000\n33496 50398\n93186 100000\n6366 9564\n24744 37294\n81865 100000\n86717 100000\n93303 100000\n26347 39683\n72952 100000\n92247 100000\n62392 93591\n41968 63099\n74780 100000\n27420 41297\n78667 100000\n10310 15521\n91271 100000\n10906 16413\n35235 53007\n26996 40652\n17143 25851\n93255 100000\n55620 83439\n75885 100000\n27024 40695\n31264 47080\n79029 100000\n58881 88337\n78328 100000\n76467 100000\n13646 20555\n51431 77205\n20880 31482\n84199 100000\n68654 100000\n44220 66440\n39729 59767\n16332 24623\n60772 91172\n28920 43577\n80254 100000\n75567 100000\n73350 100000\n34025 51190\n85926 100000\n38205 57481\n14257 21491\n31221 47021\n35040 52709\n23938 36083\n6659 10008\n26545 39973\n25555 38505\n46260 69487\n11684 17608\n84892 100000\n46380 69665\n22469 33880\n22327 33664\n50366 75610\n17830 26869\n89156 100000\n13411 20199\n18654 28105\n59593 89411\n70133 100000\n75429 100000\n49292 74000\n84021 100000\n15404 23203\n42484 63851\n38300 57624\n36049 54217\n28045 42237\n66689 100000\n9604 14461\n66010 99029\n72337 100000\n94852 100000\n58067 87113\n97775 100000\n58324 87496\n77001 100000\n49404 74170\n84731 100000\n20199 30460\n89749 100000\n10946 16469\n5527 8297\n98882 100000\n38140 57381\n59805 89730\n48163 72330\n60427 90651\n98007 100000\n45667 68612\n68176 100000\n44856 67388\n98264 100000\n53565 80366\n42272 63540\n4049 6081\n65512 98271\n14786 22290\n61666 92482\n78839 100000\n13311 20045\n9014 13564\n22109 33334\n69570 100000\n56497 84748\n4156 6237\n34744 52255\n66636 99985\n40709 61219\n6589 9899\n3176 4803\n30540 46003\n35799 53847\n40669 61163\n9715 14630\n56585 84885\n54636 81972\n41426 62277\n2676 4051\n81674 100000\n27306 41121\n9207 13846\n20104 30318\n77068 100000\n50229 75401\n96320 100000\n49607 74468\n57279 85907\n28523 42970\n20068 30266\n54155 81265\n66691 100000\n87046 100000\n90648 100000\n52597 78924\n48093 72221\n22734 34278\n31474 47396\n51587 77444\n90911 100000\n91806 100000\n96608 100000\n49757 74690\n42682 64147\n96707 100000\n99210 100000\n3058 4620\n97652 100000\n33824 50891\n79783 100000\n49054 73640\n12632 19032\n84066 100000\n47220 70899\n38244 57542\n96596 100000\n88346 100000\n46787 70261\n13523 20373\n92523 100000\n53295 79955\n65322 97975\n17737 26728\n41072 61761\n40764 61299\n12339 18584\n588 902\n17282 26058\n94087 100000\n91414 100000\n91929 100000\n92451 100000\n5972 8976\n3014 4555\n69956 100000\n45148 67825\n23838 35935\n40778 61322\n49721 74633\n78631 100000\n93288 100000\n29929 45083\n35617 53575\n30407 45801\n72086 100000\n67060 100000\n43349 65160\n1073 1639\n66379 99600\n77100 100000\n13221 19911\n77054 100000\n50512 75827\n82915 100000\n91630 100000\n78482 100000\n73311 100000\n25802 38871\n81915 100000\n8654 13026\n65509 98267\n91664 100000\n21096 31797\n19924 30050\n60647 90979\n39586 59543\n34444 51812\n94699 100000\n49319 74043\n54232 81378\n19617 29574\n48678 73080\n64343 96504\n97831 100000\n63262 94882\n38286 57606\n51224 76898\n95249 100000\n24539 36999\n38742 58277\n69118 100000\n47474 71277\n77577 100000\n36219 54472\n43302 65086\n99957 100000\n58695 88061\n73462 100000\n70033 100000\n16001 24112\n41997 63142\n60966 91451\n11721 17666\n46709 70142\n93516 100000\n1648 2510\n74332 100000\n11483 17301\n12240 18435\n86672 100000\n92619 100000\n73680 100000\n28311 42651\n2380 3602\n52417 78660\n14221 21435\n99971 100000\n42833 64373\n40465 60859\n23029 34718\n33600 50552\n8411 12651\n35208 52969\n57830 86748\n70821 100000\n49349 74087\n68121 100000\n46521 69874\n47862 71872\n49695 74597\n89071 100000\n83725 100000\n57657 86496\n19221 28958\n63588 95366\n60539 90817\n3732 5620\n23640 35642\n8781 13214\n36336 54655\n22376 33737\n55875 83826\n40117 60342\n19783 29829\n23489 35424\n88479 100000\n72312 100000\n98596 100000\n39457 59349\n14203 21407\n65478 98215\n1121 1714\n97417 100000\n58233 87359\n96611 100000\n43471 65338\n80694 100000\n11714 17656\n3371 5094\n30335 45691\n80560 100000\n86752 100000\n65753 98637\n68252 100000\n47203 70874\n40776 61319\n44267 66505\n33479 50374\n22916 34548\n98051 100000\n61603 92382\n64689 97025\n92882 100000\n67613 100000\n8281 12449\n2792 4223\n89614 100000\n11594 17472\n20731 31260\n97987 100000\n74416 100000\n19747 29774\n89182 100000\n69206 100000\n76374 100000\n68201 100000\n6399 9614\n59462 89215\n61804 92693\n9772 14708\n86107 100000\n45883 68927\n83182 100000\n57233 85836\n84843 100000\n40524 60946\n70269 100000\n80029 100000\n19983 30137\n51536 77365\n64397 96576\n21755 32799\n94311 100000\n44534 66899\n76607 100000\n74449 100000\n32125 48370\n8017 12055\n52160 78281\n26554 39984\n87719 100000\n77014 100000\n87255 100000\n79036 100000\n1729 2634\n30343 45703\n74822 100000\n25414 38292\n77343 100000\n66197 99317\n85080 100000\n27995 42165\n39151 58894\n80259 100000\n13213 19899\n29336 44200\n13172 19836\n46963 70526\n73771 100000\n20652 31144\n63466 95189\n66590 99912\n25950 39086\n99164 100000\n72199 100000\n78455 100000\n18413 27730\n56314 84467\n12194 18368\n40443 60824\n84691 100000\n62808 94204\n9847 14821\n25581 38544\n28635 43148\n59751 89649\n3874 5826\n35697 53692\n3017 4560\n4167 6254\n38765 58311\n32182 48458\n26422 39792\n38469 57876\n4980 7478\n80817 100000\n27422 41300\n84461 100000\n25447 38343\n21936 33066\n57568 86362\n26637 40107\n67433 100000\n4616 6937\n38259 57567\n19193 28913\n98059 100000\n71969 100000\n65393 98087\n31707 47760\n68621 100000\n63063 94584\n63748 95613\n51884 77888\n91824 100000\n3465 5235\n51340 77068\n50428 75708\n73697 100000\n51797 77761\n41804 62845\n13090 19712\n3348 5062\n95804 100000\n22330 33668\n24420 36828\n51743 77683\n46678 70106\n49312 74032\n83222 100000\n35961 54086\n70227 100000\n38611 58084\n44664 67096\n43202 64933\n62961 94433\n75066 100000\n38353 57703\n62414 93623\n46915 70452\n55939 83924\n46103 69261\n9934 14957\n52402 78640\n37031 55722\n66009 99027\n12277 18493\n24716 37252\n73902 100000\n65193 97782\n1424 2181\n37791 56860\n4793 7202\n40011 60186\n40402 60762\n56249 84364\n59802 89725\n67066 100000\n37175 55934\n66918 100000\n48598 72958\n61856 92774\n73089 100000\n21685 32690\n37810 56884\n93508 100000\n87395 100000\n83473 100000\n2597 3929\n23635 35632\n38107 57335\n37313 56132\n48237 72438\n55126 82699\n79444 100000\n44523 66879\n48748 73195\n82986 100000\n78661 100000\n73037 100000\n18738 28224\n88963 100000\n35662 53645\n46501 69845\n37326 56154\n33859 50938\n21845 32929\n14963 22554\n16739 25224\n32889 49515\n48951 73488\n65766 98656\n92656 100000\n77948 100000\n54955 82442\n35077 52763\n81660 100000\n5553 8338\n33173 49924\n64705 97048\n68182 100000\n74529 100000\n22168 33423\n3479 5258\n15183 22874\n61163 91743\n40607 61069\n53384 80089\n65816 98732\n9900 14906\n7319 10994\n77188 100000\n54454 81700\n74137 100000\n77392 100000\n86931 100000\n73198 100000\n89361 100000\n65328 97984\n54169 81288\n2618 3961\n48355 72607\n37767 56826\n1728 2633\n94777 100000\n26496 39904\n3236 4891\n39620 59598\n64811 97213\n22902 34527\n6187 9299\n95389 100000\n19021 28649\n70638 100000\n71381 100000\n56661 84996\n76245 100000\n61757 92622\n16578 24985\n96354 100000\n9305 14003\n76991 100000\n11487 17308\n6341 9531\n82041 100000\n3800 5722\n76459 100000\n33733 50752\n45327 68093\n57265 85884\n93720 100000\n46876 70393\n16023 24146\n35127 52838\n71792 100000\n76694 100000\n76821 100000\n97907 100000\n53072 79634\n69841 100000\n78141 100000\n91716 100000\n56547 84827\n53409 80128\n33965 51098\n93404 100000\n97248 100000\n47415 71197\n17099 25781\n25219 37999\n67329 100000\n91789 100000\n58978 88487\n9130 13732\n10501 15804\n97675 100000\n59838 89780\n46432 69742\n23073 34779\n86151 100000\n13269 19984\n44335 66605\n63824 95731\n15182 22872\n69003 100000\n6875 10326\n99093 100000\n32820 49406\n13135 19780\n93232 100000\n97262 100000\n8811 13263\n44326 66591\n62558 93831\n2210 3349\n88762 100000\n38533 57964\n44195 66398\n55644 83474\n37299 56111\n15548 23426\n90624 100000\n31274 47095\n53774 80685\n15876 23933\n42208 63452\n8678 13061\n28030 42217\n63141 94703\n14065 21197\n46139 69314\n18674 28132\n7287 10945\n99987 100000\n78097 100000\n79654 100000\n89191 100000\n97033 100000\n92430 100000\n22603 34080\n60037 90076\n94800 100000\n33251 50045\n56503 84758\n16632 25065\n3057 4619\n91611 100000\n15414 23215\n90384 100000\n6498 9768\n97952 100000\n53573 80378\n22506 33932\n85006 100000\n40410 60776\n82320 100000\n31218 47016\n56778 85167\n28312 42653\n53061 79615\n92287 100000\n33431 50306\n23257 35054\n90732 100000\n24821 37403\n1816 2767\n56597 84900\n35793 53839\n74513 100000\n53033 79567\n31674 47711\n58118 87189\n8645 13013\n52808 79231\n47067 70676\n91730 100000\n37948 57101\n31114 46861\n43479 65350\n94084 100000\n2019 3072\n49522 74349\n39252 59040\n40695 61200\n9967 15007\n32998 49672\n2171 3289\n26889 40497\n44752 67229\n84426 100000\n49902 74899\n51759 77706\n86306 100000\n3061 4624\n43595 65521\n50007 75055\n21577 32525\n18551 27950\n55673 83517\n43844 65893\n33084 49798\n46658 70077\n61758 92623\n33036 49728\n55474 83217\n46540 69900\n25080 37797\n72853 100000\n23171 34923\n22437 33830\n38791 58346\n99725 100000\n91813 100000\n10520 15829\n76041 100000\n43732 65728\n18967 28565\n76071 100000\n56092 84139\n74032 100000\n74556 100000\n5684 8533\n90711 100000\n49556 74392\n29441 44344\n71473 100000\n62868 94290\n25995 39148\n99049 100000\n68821 100000\n29476 44393\n70217 100000\n41011 61667\n14842 22377\n21865 32962\n1224 1868\n77278 100000\n21502 32405\n47432 71220\n46292 69532\n55191 82794\n78604 100000\n41436 62291\n36334 54651\n16575 24979\n19420 29273\n77010 100000\n20490 30903\n95855 100000\n84123 100000\n41611 62555\n19030 28662\n42011 63160\n9867 14853\n30684 46218\n5328 7999\n32044 48252\n80415 100000\n13909 20957\n23215 34991\n57761 86649\n45001 67609\n73729 100000\n81692 100000\n90522 100000\n92068 100000\n47115 70756\n21718 32742\n17994 27111\n95911 100000\n1731 2636\n55545 83327\n77306 100000\n17283 26060\n63212 94808\n51173 76830\n83116 100000\n73264 100000\n78843 100000\n85541 100000\n38573 58025\n86892 100000\n7114 10682\n74732 100000\n79414 100000\n31935 48094\n24202 36491\n37736 56778\n72095 100000\n1774 2701\n54655 82003\n69345 100000\n99211 100000\n6572 9874\n91117 100000\n75078 100000\n45824 68843\n92412 100000\n70972 100000\n77957 100000\n83391 100000\n25785 38844\n6194 9309\n57381 86075\n78014 100000\n72731 100000\n44857 67390\n51338 77064\n7610 11438\n39305 59120\n38764 58309\n87869 100000\n19671 29657\n662 1015\n81131 100000\n17317 26109\n99785 100000\n52462 78726\n35253 53032\n58182 87284\n39632 59617\n36119 54321\n2029 3087\n41546 62458\n79660 100000\n91894 100000\n40698 61204\n64763 97143\n72783 100000\n34295 51585\n63604 95394\n9173 13796\n85175 100000\n47153 70810\n53907 80890\n25065 37776\n83027 100000\n54585 81895\n17442 26292\n4489 6750\n57610 86425\n29024 43729\n39593 59556\n19388 29223\n10568 15901\n87151 100000\n90126 100000\n7507 11280\n42072 63245\n37172 55929\n20523 30954\n35124 52833\n68066 100000\n40670 61164\n99859 100000\n7090 10650\n77919 100000\n29210 44009\n95965 100000\n84794 100000\n70079 100000\n71931 100000\n25453 38352\n82392 100000\n84000 100000\n62485 93725\n14291 21544\n23490 35426\n86101 100000\n38734 58264\n21354 32181\n34998 52644\n62318 93480\n32686 49216\n62960 94431\n60706 91066\n75722 100000\n14950 22535\n9979 15023\n89741 100000\n84076 100000\n51737 77673\n26597 40042\n78030 100000\n21164 31897\n84284 100000\n83951 100000\n34351 51670\n86327 100000\n19144 28836\n73817 100000\n78356 100000\n62523 93782\n79271 100000\n81332 100000\n32974 49637\n68149 100000\n65803 98713\n87354 100000\n65463 98191\n44060 66206\n53423 80151\n36128 54337\n780 1203\n82489 100000\n62416 93626\n70714 100000\n61463 92175\n93866 100000\n57308 85954\n99165 100000\n40903 61504\n42784 64300\n63860 95781\n42848 64395\n79474 100000\n33789 50840\n357 550\n24327 36687\n15098 22752\n42891 64460\n14753 22242\n11326 17055\n20940 31569\n54152 81259\n87142 100000\n35085 52775\n49583 74431\n38571 58023\n90736 100000\n86400 100000\n70143 100000\n21723 32748\n67983 100000\n79105 100000\n80435 100000\n84821 100000\n61566 92329\n43777 65796\n70976 100000\n6437 9674\n99522 100000\n81589 100000\n68305 100000\n29652 44657\n14461 21803\n24494 36936\n46673 70098\n18915 28488\n40139 60374\n97745 100000\n29471 44385\n61304 91950\n38640 58127\n53884 80855\n54157 81268\n57778 86674\n64466 96679\n43127 64820\n16317 24597\n4202 6311\n13253 19960\n50705 76115\n91385 100000\n63807 95706\n87957 100000\n9608 14466\n58372 87570\n76209 100000\n95789 100000\n41321 62126\n6041 9084\n25444 38337\n98796 100000\n95329 100000\n9500 14299\n93354 100000\n28485 42913\n51495 77305\n13931 20995\n49304 74021\n83684 100000\n73731 100000\n16360 24658\n52174 78301\n31816 47915\n86127 100000\n98372 100000\n92143 100000\n35072 52756\n8544 12852\n19000 28618\n73804 100000\n24031 36230\n93873 100000\n96149 100000\n83312 100000\n18142 27332\n44241 66468\n7179 10781\n87765 100000\n44786 67277\n2669 4040\n99751 100000\n63912 95859\n28185 42455\n19160 28861\n90032 100000\n50256 75441\n52392 78625\n66014 99036\n11117 16731\n93900 100000\n79596 100000\n25531 38470\n62902 94340\n54964 82455\n31077 46804\n33473 50366\n17087 25760\n69661 100000\n65256 97874\n80659 100000\n27670 41674\n174 264\n49128 73756\n96239 100000\n23628 35620\n99770 100000\n81973 100000\n41174 61908\n5651 8483\n58575 87877\n74663 100000\n47493 71307\n40883 61475\n19710 29716\n28526 42975\n95336 100000\n23541 35496\n22888 34505\n95473 100000\n4244 6372\n28198 42477\n49055 73642\n9585 14434\n8974 13506\n17311 26102\n10442 15716\n63629 95431\n19937 30072\n7593 11408\n86548 100000\n87727 100000\n77978 100000\n35958 54082\n12600 18982\n60299 90463\n8751 13169\n29651 44656\n88293 100000\n86715 100000\n17193 25927\n23461 35380\n22589 34060\n4824 7249\n49326 74052\n44388 66685\n37230 56010\n40106 60325\n96055 100000\n84256 100000\n17936 27029\n82177 100000\n65453 98175\n49610 74473\n28693 43241\n50545 75877\n37789 56857\n97271 100000\n15982 24083\n42638 64087\n70492 100000\n12713 19155\n48239 72441\n20336 30658\n44027 66161\n47755 71708\n70832 100000\n44043 66183\n56517 84781\n97820 100000\n60333 90512\n79939 100000\n18792 28307\n55114 82679\n71464 100000\n57327 85987\n75946 100000\n99468 100000\n50540 75868\n97875 100000\n94326 100000\n20758 31301\n59077 88637\n22615 34102\n36097 54290\n26992 40647\n91395 100000\n34925 52535\n12679 19103\n93460 100000\n59765 89671\n59808 89734\n76192 100000\n85135 100000\n307 471\n10292 15495\n76184 100000\n99025 100000\n95155 100000\n31896 48037\n32787 49361\n29132 43889\n70301 100000\n30932 46595\n63450 95165\n24971 37630\n47264 70969\n3142 4749\n1044 1592\n89793 100000\n30958 46635\n16672 25123\n79205 100000\n48802 73271\n81963 100000\n5095 7654\n8491 12769\n33875 50962\n98260 100000\n97009 100000\n8834 13297\n24429 36840\n58937 88425\n63537 95290\n83696 100000\n58727 88112\n33400 50260\n3512 5307\n19867 29958\n41697 62687\n73352 100000\n532 815\n58021 87043\n91422 100000\n59020 88549\n79260 100000\n85072 100000\n97280 100000\n25429 38315\n54275 81441\n53498 80265\n82388 100000\n73048 100000\n85330 100000\n57535 86309\n69530 100000\n95371 100000\n44933 67506\n92613 100000\n93269 100000\n29104 43850\n67812 100000\n31380 47255\n18226 27458\n7775 11686\n30726 46279\n42785 64302\n6258 9408\n1962 2985\n33276 50082\n35994 54135\n60288 90446\n27285 41089\n63103 94648\n24990 37660\n70738 100000\n87535 100000\n54235 81384\n73023 100000\n67047 100000\n56471 84709\n72827 100000\n25384 38245\n87770 100000\n19725 29738\n61295 91938\n94556 100000\n87263 100000\n91354 100000\n20980 31627\n30204 45499\n6624 9952\n96294 100000\n74049 100000\n23209 34984\n17159 25877\n38322 57657\n37168 55925\n4098 6151\n4463 6711\n2522 3816\n17786 26801\n33027 49713\n41260 62039\n21816 32889\n28127 42365\n26596 40041\n38833 58407\n16618 25044\n87397 100000\n21781 32837\n12144 18291\n85425 100000\n15317 23075\n58424 87656\n56961 85438\n62470 93707\n52396 78631\n1982 3016\n13140 19787\n27740 41779\n57537 86312\n41603 62541\n17455 26308\n75917 100000\n57890 86845\n55899 83866\n10068 15161\n45387 68178\n17275 26049\n30534 45996\n46504 69850\n14344 21614\n14877 22427\n40539 60967\n22732 34274\n97134 100000\n88351 100000\n55551 83334\n69023 100000\n31269 47087\n5356 8044\n28531 42984\n1448 2216\n72534 100000\n13615 20510\n21064 31751\n4491 6754\n76372 100000\n60832 91259\n14096 21247\n61269 91899\n5627 8447\n52180 78309\n20140 30375\n24428 36839\n60756 91144\n85210 100000\n45381 68170\n910 1394\n28761 43343\n74412 100000\n61221 91824\n40834 61401\n97526 100000\n23115 34840\n49832 74800\n83256 100000\n40749 61278\n10949 16473\n56816 85221\n19016 28641\n13002 19576\n34707 52200\n85227 100000\n37247 56036\n86669 100000\n45841 68866\n39269 59064\n41868 62945\n42625 64066\n73453 100000\n63494 95233\n86317 100000\n67824 100000\n57024 85524\n13352 20106\n8543 12850\n23848 35951\n5595 8402\n39806 59886\n27122 40837\n23558 35523\n26447 39827\n18515 27896\n60295 90456\n90244 100000\n70375 100000\n49786 74732\n85376 100000\n35156 52887\n99424 100000\n72391 100000\n98142 100000\n78287 100000\n54364 81568\n3771 5677\n61272 91904\n11628 17522\n40891 61487\n84444 100000\n67346 100000\n77228 100000\n19067 28718\n70692 100000\n93992 100000\n38103 57328\n69028 100000\n85862 100000\n16337 24629\n45932 69002\n74364 100000\n3702 5577\n68060 100000\n25732 38762\n64951 97423\n89087 100000\n71753 100000\n87860 100000\n16685 25146\n94006 100000\n93111 100000\n44720 67180\n53811 80743\n499 762\n15494 23341\n92440 100000\n92199 100000\n98135 100000\n84260 100000\n43459 65320\n38001 57178\n41536 62444\n93976 100000\n19525 29429\n10701 16102\n6288 9450\n61143 91713\n28059 42259\n27657 41658\n56666 85003\n41514 62411\n54220 81362\n12566 18929\n42827 64363\n85319 100000\n57962 86955\n20815 31386\n2916 4408\n52236 78392\n51218 76891\n60409 90623\n39354 59196\n42036 63194\n14708 22177\n68170 100000\n68415 100000\n67466 100000\n10872 16362\n50905 76420\n76860 100000\n34190 51421\n14213 21423\n91038 100000\n96727 100000\n54320 81506\n16597 25018\n99515 100000\n86879 100000\n59929 89918\n83763 100000\n95963 100000\n13370 20132\n13779 20759\n79986 100000\n93689 100000\n55431 83154\n38715 58236\n91168 100000\n86555 100000\n20291 30595\n51537 77367\n26601 40047\n86501 100000\n78120 100000\n80573 100000\n79274 100000\n70416 100000\n67825 100000\n85123 100000\n65400 98098\n59341 89044\n62953 94421\n78057 100000\n51798 77762\n58265 87404\n50262 75450\n77386 100000\n99157 100000\n71164 100000\n6030 9068\n30447 45862\n11686 17611\n72944 100000\n46493 69834\n47791 71765\n9438 14199\n63750 95616\n54389 81604\n42585 64009\n3650 5500\n38601 58069\n11135 16756\n581 891\n99290 100000\n85895 100000\n21645 32628\n35622 53585\n11847 17852\n76979 100000\n49899 74895\n94857 100000\n48658 73051\n58651 87993\n32966 49625\n56642 84970\n46169 69356\n37054 55753\n8394 12624\n50417 75692\n79232 100000\n54143 81246\n51022 76597\n15345 23115\n4189 6291\n24046 36254\n57273 85897\n56733 85102\n48451 72748\n87534 100000\n57294 85929\n83155 100000\n66612 99948\n38730 58259\n54104 81190\n5519 8284\n29980 45159\n80401 100000\n50842 76323\n57539 86314\n51579 77431\n28410 42801\n86530 100000\n77846 100000\n42360 63665\n49339 74073\n74645 100000\n64992 97482\n91581 100000\n88184 100000\n93977 100000\n84106 100000\n43370 65193\n56425 84636\n11392 17163\n41725 62726\n79600 100000\n66672 100000\n28651 43170\n41689 62674\n79755 100000\n31376 47248\n86496 100000\n42602 64035\n59893 89868\n72403 100000\n50691 76092\n92033 100000\n61130 91690\n69515 100000\n17120 25812\n12298 18525\n38670 58172\n64338 96495\n93045 100000\n1096 1676\n93402 100000\n37991 57165\n47501 71319\n39866 59967\n95035 100000\n89330 100000\n32748 49302\n78155 100000\n24005 36189\n56594 84896\n79592 100000\n1472 2253\n98052 100000\n27694 41713\n56603 84909\n67579 100000\n97614 100000\n24270 36598\n48445 72738\n45850 68878\n69197 100000\n66916 100000\n51795 77758\n72800 100000\n30339 45697\n20755 31298\n94121 100000\n91919 100000\n23048 34746\n49425 74202\n48935 73468\n9099 13687\n1271 1935\n36021 54176\n40043 60232\n15293 23043\n96378 100000\n97643 100000\n14556 21941\n34346 51663\n18311 27589\n26330 39657\n12309 18542\n35590 53533\n29624 44615\n44029 66163\n99280 100000\n44140 66319\n87350 100000\n7353 11045\n96369 100000\n24366 36746\n43497 65374\n65172 97750\n16614 25038\n77380 100000\n38794 58351\n80541 100000\n5744 8632\n72844 100000\n12157 18312\n87516 100000\n9297 13990\n22073 33274\n24595 37072\n77711 100000\n52888 79350\n90136 100000\n52846 79287\n72624 100000\n33072 49780\n39479 59385\n24953 37603\n99498 100000\n89791 100000\n12647 19055\n47608 71481\n29234 44044\n99991 100000\n5680 8527\n40860 61439\n17043 25693\n98273 100000\n41320 62124\n299 458\n12350 18602\n68385 100000\n24957 37608\n32260 48577\n66413 99649\n71567 100000\n59287 88953\n40029 60214\n72474 100000\n21725 32750\n83123 100000\n16214 24442\n89265 100000\n78794 100000\n43106 64788\n40167 60411\n33842 50915\n89693 100000\n32620 49115\n26547 39975\n38270 57582\n93791 100000\n52367 78584\n89433 100000\n96036 100000\n64282 96416\n16913 25498\n860 1323\n16754 25247\n60992 91489\n4683 7030\n33726 50742\n8701 13094\n18791 28306\n65832 98758\n38298 57622\n9871 14859\n52787 79200\n16571 24974\n37043 55739\n31180 46963\n39908 60033\n98988 100000\n4208 6319\n61738 92594\n2852 4309\n89024 100000\n64143 96212\n21298 32096\n1531 2337\n5481 8225\n99101 100000\n92786 100000\n98868 100000\n4764 7154\n20307 30618\n21039 31714\n75792 100000\n64531 96784\n47053 70653\n26533 39956\n80011 100000\n85468 100000\n14209 21416\n93921 100000\n85994 100000\n38006 57188\n61329 91982\n73183 100000\n15472 23308\n33360 50202\n58388 87594\n55055 82592\n30349 45714\n62327 93491\n43054 64704\n81993 100000\n71564 100000\n67198 100000\n56949 85422\n87379 100000\n82427 100000\n82066 100000\n39602 59569\n78613 100000\n13468 20289\n80930 100000\n47059 70663\n97920 100000\n70795 100000\n66352 99560\n47641 71530\n29655 44663\n20080 30284\n8362 12574\n2362 3577\n66001 99016\n24706 37236\n45592 68494\n51685 77595\n82762 100000\n75481 100000\n60813 91232\n4706 7068\n66662 100000\n98063 100000\n94637 100000\n68638 100000\n66606 99937\n73154 100000\n47974 72041\n89682 100000\n53802 80730\n98759 100000\n33605 50560\n62010 93006\n91594 100000\n84186 100000\n42133 63341\n64021 96028\n95697 100000\n53869 80834\n1205 1840\n81347 100000\n80838 100000\n151 228\n15252 22980\n46020 69132\n30085 45320\n66617 99957\n73799 100000\n71812 100000\n37079 55786\n32219 48517\n79559 100000\n42196 63433\n50178 75319\n93603 100000\n60451 90687\n49123 73748\n68759 100000\n11040 16609\n51773 77724\n26190 39448\n16692 25157\n51558 77399\n20839 31422\n76758 100000\n76646 100000\n63145 94709\n7051 10584\n67963 100000\n41265 62047\n99161 100000\n81451 100000\n90728 100000\n69892 100000\n48775 73234\n19032 28666\n8812 13265\n373 574\n90704 100000\n656 1004\n33222 49998\n12082 18202\n33301 50117\n57356 86036\n5126 7698\n15253 22982\n82449 100000\n38194 57465\n27698 41718\n9372 14099\n44879 67426\n68091 100000\n31888 48027\n66562 99869\n11913 17952\n20285 30588\n14225 21441\n20245 30531\n65648 98471\n31325 47167\n41916 63016\n55707 83569\n37520 56454\n21281 32068\n40545 60977\n53335 80012\n40739 61266\n69289 100000\n56061 84100\n14302 21558\n7597 11415\n46659 70078\n95184 100000\n64109 96167\n65325 97979\n76294 100000\n43773 65791\n95467 100000\n51625 77505\n71751 100000\n10207 15363\n3777 5688\n17336 26138\n84019 100000\n10503 15807\n50769 76216\n94277 100000\n48736 73175\n97201 100000\n68417 100000\n14946 22530\n7478 11239\n80297 100000\n27679 41689\n85192 100000\n27488 41398\n95521 100000\n8527 12826\n81799 100000\n8616 12968\n472 721\n50001 75048\n8647 13016\n47305 71030\n86344 100000\n6815 10240\n88723 100000\n86132 100000\n85693 100000\n41215 61972\n29046 43765\n44733 67201\n73956 100000\n12422 18712\n16939 25537\n50446 75734\n85253 100000\n65249 97862\n51848 77834\n34287 51572\n83438 100000\n60688 91040\n99478 100000\n60201 90315\n19366 29187\n60794 91202\n85586 100000\n13511 20354\n65386 98075\n22845 34439\n45166 67853\n73097 100000\n62675 94006\n32780 49351\n63412 95111\n20396 30755\n66855 100000\n18845 28383\n95767 100000\n97686 100000\n54570 81872\n3202 4840\n40605 61067\n38525 57952\n4190 6292\n40580 61030\n39734 59775\n92855 100000\n66474 99736\n18532 27921\n7515 11291\n41163 61893\n14071 21207\n10341 15564\n71824 100000\n64012 96012\n91920 100000\n23031 34721\n5212 7819\n6053 9104\n59228 88864\n62274 93414\n38116 57350\n7220 10842\n16634 25069\n90925 100000\n36518 54935\n11462 17267\n63005 94500\n79618 100000\n15893 23959\n20514 30939\n91911 100000\n39515 59433\n1393 2134\n39485 59394\n98240 100000\n36015 54169\n58383 87588\n52857 79304\n10219 15379\n99215 100000\n17338 26141\n25623 38604\n67828 100000\n80604 100000\n456 701\n71494 100000\n47605 71477\n76005 100000\n61281 91919\n40623 61091\n70846 100000\n46957 70517\n12648 19057\n81359 100000\n59488 89254\n59097 88665\n50274 75469\n27034 40711\n28947 43618\n34173 51394\n53953 80967\n36225 54482\n37900 57025\n21286 32076\n92428 100000\n42579 64001\n78283 100000\n8513 12804\n57216 85812\n21061 31746\n67443 100000\n63821 95728\n96829 100000\n47196 70864\n73293 100000\n20288 30592\n53448 80186\n34668 52143\n55133 82709\n66941 100000\n60182 90288\n23981 36153\n44528 66889\n95164 100000\n55025 82547\n50435 75719\n57472 86212\n42031 63188\n76627 100000\n11528 17370\n65223 97824\n28718 43278\n44995 67601\n7578 11389\n2064 3137\n3549 5359\n3822 5756\n44886 67438\n56584 84883\n98146 100000\n10257 15440\n95090 100000\n10404 15661\n75563 100000\n56197 84286\n98707 100000\n92450 100000\n96333 100000\n15970 24066\n43027 64668\n59215 88848\n79275 100000\n67395 100000\n76169 100000\n28319 42664\n81522 100000\n50735 76164\n42205 63448\n54538 81822\n2934 4437\n17682 26639\n41708 62700\n30998 46686\n72500 100000\n70528 100000\n43409 65249\n99126 100000\n50860 76349\n17374 26190\n22752 34300\n83427 100000\n87261 100000\n91960 100000\n5851 8789\n11472 17283\n62403 93606\n44019 66151\n17763 26768\n65884 98839\n17429 26274\n37138 55881\n87247 100000\n57857 86791\n13641 20549\n4850 7286\n4406 6619\n55767 83659\n73556 100000\n17419 26259\n55798 83705\n14525 21897\n79424 100000\n31627 47643\n52898 79364\n82851 100000\n6511 9787\n81072 100000\n97085 100000\n46653 70070\n64117 96179\n24855 37453\n83367 100000\n76375 100000\n97274 100000\n67367 100000\n21713 32736\n51486 77292\n48655 73047\n71956 100000\n31438 47341\n1520 2321\n38148 57394\n56426 84638\n78654 100000\n85642 100000\n1002 1529\n17140 25847\n13820 20819\n80287 100000\n52985 79495\n48317 72554\n82564 100000\n88717 100000\n41460 62329\n66315 99505\n37144 55890\n82453 100000\n37241 56025\n19483 29367\n54604 81927\n12529 18876\n22362 33715\n29467 44379\n4727 7099\n49829 74796\n13081 19701\n22305 33630\n23186 34948\n49005 73566\n66399 99631\n3250 4911\n41119 61830\n84425 100000\n54731 82114\n90802 100000\n95809 100000\n17612 26540\n65022 97528\n27709 41733\n92209 100000\n74936 100000\n63002 94496\n52136 78247\n83326 100000\n95396 100000\n86837 100000\n69508 100000\n62870 94293\n58369 87565\n58614 87937\n31728 47789\n89608 100000\n41204 61957\n84432 100000\n29880 45009\n46131 69302\n95297 100000\n74720 100000\n78626 100000\n90474 100000\n38239 57533\n56241 84352\n76584 100000\n43206 64938\n87578 100000\n45714 68683\n9801 14752\n73918 100000\n2561 3878\n36285 54571\n4645 6978\n91373 100000\n25158 37911\n78657 100000\n35369 53203\n14630 22054\n96595 100000\n33973 51109\n58195 87304\n96560 100000\n23831 35925\n20763 31307\n78419 100000\n34018 51180\n27198 40956\n22179 33442\n80263 100000\n4673 7017\n7143 10725\n13845 20857\n18189 27402\n85152 100000\n43388 65218\n22659 34162\n4271 6412\n55427 83149\n83464 100000\n34273 51547\n34564 51987\n19224 28963\n69288 100000\n14979 22576\n33507 50415\n49478 74279\n283 433\n45915 68976\n86657 100000\n27055 40741\n6788 10203\n50197 75347\n18877 28433\n89434 100000\n61409 92101\n17960 27062\n46183 69374\n49137 73768\n72442 100000\n50005 75053\n8443 12696\n73046 100000\n73414 100000\n32500 48940\n21573 32519\n846 1301\n86492 100000\n41978 63114\n1906 2899\n69981 100000\n82845 100000\n99001 100000\n1505 2302\n27433 41318\n19512 29410\n8858 13332\n75975 100000\n62236 93358\n10401 15657\n36060 54236\n39120 58844\n47481 71287\n77000 100000\n16175 24383\n84495 100000\n49709 74618\n87276 100000\n95931 100000\n59771 89679\n95134 100000\n73100 100000\n32896 49526\n99243 100000\n93879 100000\n60746 91129\n26283 39586\n78198 100000\n48941 73474\n50944 76480\n87767 100000\n6428 9658\n56210 84308\n68619 100000\n27413 41287\n66186 99300\n64857 97283\n59005 88532\n34030 51197\n29404 44292\n29437 44338\n67908 100000\n77643 100000\n40680 61177\n20946 31577\n56612 84921\n10411 15670\n12372 18638\n98441 100000\n40293 60602\n54539 81824\n47583 71449\n92838 100000\n73458 100000\n28409 42799\n73657 100000\n74228 100000\n66280 99448\n4477 6733\n84447 100000\n15023 22638\n58823 88256\n65005 97502\n54966 82458\n96955 100000\n86720 100000\n78597 100000\n22587 34056\n36 57\n77810 100000\n8485 12759\n24552 37015\n86141 100000\n4684 7031\n62297 93449\n74970 100000\n88023 100000\n96242 100000\n58384 87589\n66176 99285\n28851 43481\n18590 28008\n59692 89562\n66170 99276\n37597 56566\n89045 100000\n48597 72957\n56575 84870\n65288 97921\n5386 8090\n38393 57765\n20347 30678\n67439 100000\n47696 71614\n33533 50453\n38845 58423\n72636 100000\n33390 50245\n15624 23543\n16972 25587\n24867 37469\n9722 14641\n79624 100000\n45765 68758\n28636 43149\n29196 43991\n88968 100000\n82046 100000\n10445 15720\n51641 77526\n43000 64630\n98693 100000\n84301 100000\n47495 71309\n52928 79408\n10955 16484\n20397 30757\n23970 36134\n66904 100000\n1420 2177\n97047 100000\n62071 93093\n50169 75306\n39821 59905\n9337 14047\n31234 47041\n98395 100000\n2330 3528\n17297 26082\n89620 100000\n46933 70479\n89892 100000\n43889 65961\n42834 64374\n53705 80581\n14450 21789\n31382 47257\n51152 76797\n73714 100000\n86277 100000\n24489 36929\n28945 43615\n63928 95881\n70722 100000\n22459 33863\n28603 43097\n74424 100000\n68261 100000\n44143 66325\n46045 69171\n29271 44103\n90065 100000\n96100 100000\n54100 81183\n20400 30760\n89546 100000\n86640 100000\n78749 100000\n42222 63473\n44224 66445\n42261 63527\n23208 34982\n74052 100000\n73788 100000\n7693 11561\n44518 66871\n53195 79812\n75552 100000\n7701 11573\n41903 63000\n99444 100000\n57421 86137\n9866 14852\n79088 100000\n8698 13090\n11990 18065\n79960 100000\n28184 42453\n6541 9832\n61262 91891\n90160 100000\n29567 44532\n24835 37425\n81548 100000\n99401 100000\n20924 31547\n87180 100000\n74191 100000\n98455 100000\n50275 75471\n64584 96867\n6036 9077\n42025 63179\n17645 26583\n59079 88640\n41963 63091\n37855 56955\n37503 56427\n9740 14666\n14940 22522\n35759 53788\n83624 100000\n1126 1722\n96528 100000\n86803 100000\n37442 56337\n43165 64874\n58973 88479\n52181 78310\n22324 33658\n91124 100000\n85078 100000\n246 378\n56354 84531\n11635 17532\n23192 34956\n35193 52946\n53193 79809\n54957 82445\n47459 71259\n62276 93417\n30178 45459\n39555 59494\n31573 47553\n40518 60937\n86358 100000\n62202 93303\n71425 100000\n64868 97299\n65429 98143\n12018 18111\n38873 58470\n41324 62131\n6402 9618\n85184 100000\n75989 100000\n4854 7293\n69876 100000\n50516 75834\n14311 21568\n31024 46721\n73793 100000\n32150 48408\n76314 100000\n46229 69440\n7785 11697\n80654 100000\n43579 65497\n54527 81807\n96948 100000\n80904 100000\n53287 79943\n79371 100000\n82626 100000\n16081 24237\n76433 100000\n31080 46809\n13789 20772\n70893 100000\n88240 100000\n53174 79783\n86186 100000\n96969 100000\n28309 42648\n6062 9117\n44169 66359\n60901 91359\n59971 89979\n184 282\n89355 100000\n73822 100000\n78037 100000\n79706 100000\n19711 29717\n47654 71553\n47314 71043\n66854 100000\n36035 54197\n770 1185\n20206 30471\n58770 88179\n2142 3247\n67177 100000\n82667 100000\n86703 100000\n68031 100000\n40798 61349\n31609 47615\n89921 100000\n72703 100000\n80409 100000\n57376 86068\n47164 70821\n93048 100000\n6113 9188\n83014 100000\n58901 88369\n62031 93033\n79174 100000\n25390 38255\n5266 7907\n78687 100000\n69729 100000\n75034 100000\n14533 21909\n5146 7723\n25255 38054\n16802 25328\n57269 85890\n24021 36214\n47516 71343\n15590 23492\n51794 77757\n94867 100000\n15750 23740\n92711 100000\n45808 68819\n78666 100000\n48704 73124\n20392 30749\n71569 100000\n10007 15068\n13254 19961\n65419 98130\n83104 100000\n17646 26585\n34403 51750\n20717 31243\n37344 56182\n78929 100000\n82875 100000\n95605 100000\n24788 37358\n29923 45073\n80753 100000\n48111 72251\n11394 17167\n36110 54306\n87986 100000\n35272 53059\n88524 100000\n82214 100000\n39770 59829\n17155 25870\n91259 100000\n52703 79071\n761 1171\n66478 99742\n20850 31440\n62266 93403\n3695 5566\n60617 90934\n61522 92261\n9177 13802\n91558 100000\n82899 100000\n76269 100000\n19911 30027\n40041 60229\n9336 14046\n88365 100000\n26542 39968\n97713 100000\n93116 100000\n78722 100000\n50988 76544\n63302 94940\n52631 78972\n40665 61158\n4754 7139\n14057 21183\n36220 54474\n69065 100000\n95339 100000\n50974 76521\n93832 100000\n64110 96169\n79743 100000\n89907 100000\n10491 15787\n19692 29687\n77256 100000\n12142 18287\n80537 100000\n24125 36373\n7755 11655\n82508 100000\n58640 87975\n21084 31781\n196 300\n34943 52564\n65692 98539\n37831 56917\n3848 5787\n13660 20577\n36301 54597\n10968 16504\n41197 61944\n41485 62366\n42654 64109\n42009 63156\n30968 46645\n83130 100000\n69126 100000\n11427 17217\n22730 34270\n4961 7449\n74497 100000\n81734 100000\n40364 60708\n34948 52570\n38871 58466\n20846 31433\n61533 92280\n16712 25187\n74521 100000\n55227 82848\n38185 57454\n43272 65037\n2982 4507\n97997 100000\n53173 79781\n74303 100000\n38446 57843\n53852 80805\n77046 100000\n35797 53844\n53191 79807\n40124 60352\n11103 16709\n43036 64681\n10570 15903\n90915 100000\n87678 100000\n82361 100000\n58306 87468\n70253 100000\n65718 98582\n47889 71907\n79532 100000\n95832 100000\n41502 62393\n50470 75769\n58547 87836\n35166 52903\n4662 7000\n42309 63591\n18608 28035\n9335 14044\n53255 79897\n39730 59769\n14362 21643\n23406 35298\n21765 32814\n67399 100000\n92485 100000\n24886 37501\n67215 100000\n17318 26111\n22245 33537\n58997 88518\n23327 35171\n97062 100000\n98097 100000\n27111 40823\n60853 91289\n25508 38438\n40239 60520\n94461 100000\n59616 89445\n39450 59338\n52669 79023\n1038 1583\n90806 100000\n2111 3203\n27690 41707\n57050 85561\n75370 100000\n96439 100000\n10987 16531\n81896 100000\n80492 100000\n4053 6089\n77580 100000\n61778 92655\n5027 7550\n9404 14151\n45826 68845\n91087 100000\n22595 34070\n3311 5002\n93413 100000\n20435 30816\n74999 100000\n55675 83519\n39686 59698\n52942 79432\n85067 100000\n66948 100000\n58166 87260\n5479 8223\n9792 14741\n90212 100000\n42380 63698\n61344 92003\n48437 72724\n65913 98882\n55277 82924\n97906 100000\n52359 78575\n83621 100000\n89314 100000\n64739 97105\n27618 41597\n43239 64989\n36135 54347\n88051 100000\n33079 49790\n83345 100000\n51154 76801\n2032 3090\n95898 100000\n81391 100000\n9885 14881\n40949 61572\n56511 84771\n20677 31184\n38594 58057\n96351 100000\n42015 63166\n84460 100000\n61138 91704\n6465 9716\n54755 82154\n29378 44256\n34317 51622\n54815 82242\n12130 18267\n59974 89983\n4867 7312\n45998 69098\n68945 100000\n28452 42867\n64863 97291\n97234 100000\n37992 57166\n92030 100000\n74608 100000\n63189 94775\n58658 88005\n66923 100000\n62974 94451\n33962 51092\n88557 100000\n98569 100000\n54013 81057\n51077 76675\n78712 100000\n27058 40746\n93911 100000\n62641 93955\n12181 18346\n3377 5102\n32396 48783\n31242 47052\n20035 30214\n2498 3778\n50718 76136\n80335 100000\n26371 39719\n62757 94129\n40415 60783\n39160 58906\n57393 86093\n72880 100000\n48042 72140\n58359 87549\n64674 96999\n27629 41615\n11457 17259\n55290 82946\n47029 70620\n84093 100000\n94306 100000\n35575 53511\n84505 100000\n61930 92883\n36375 54715\n67530 100000\n8743 13157\n97898 100000\n85286 100000\n55156 82740\n94389 100000\n58486 87747\n5505 8263\n1848 2814\n1048 1599\n49898 74894\n84613 100000\n4523 6805\n25498 38423\n59208 88837\n70098 100000\n1395 2138\n51255 76943\n28022 42203\n28141 42387\n92396 100000\n94417 100000\n21426 32285\n23286 35102\n23183 34943\n16567 24968\n41311 62113\n58269 87409\n67813 100000\n70502 100000\n40010 60184\n86049 100000\n5164 7751\n62288 93433\n81203 100000\n89711 100000\n3415 5157\n38399 57774\n67714 100000\n3744 5639\n95145 100000\n5028 7551\n92514 100000\n9190 13822\n76351 100000\n10312 15524\n91834 100000\n52574 78890\n39744 59790\n96714 100000\n26834 40411\n3718 5599\n14106 21263\n78715 100000\n33136 49871\n51238 76918\n31481 47408\n28356 42723\n35966 54096\n29009 43707\n10251 15432\n66149 99245\n57100 85635\n98902 100000\n93074 100000\n82094 100000\n93958 100000\n6383 9589\n68664 100000\n48809 73282\n35065 52746\n42967 64579\n29839 44945\n21446 32318\n42703 64180\n29253 44072\n87680 100000\n63808 95707\n95552 100000\n94911 100000\n12994 19562\n45832 68854\n53750 80651\n6519 9798\n97267 100000\n98668 100000\n51263 76954\n76081 100000\n62347 93521\n60053 90100\n31132 46889\n4148 6223\n84370 100000\n63586 95364\n53319 79989\n76150 100000\n82756 100000\n70984 100000\n56175 84256\n99853 100000\n12186 18354\n93226 100000\n30137 45400\n40358 60701\n83733 100000\n56880 85317\n45150 67828\n65842 98774\n81825 100000\n25344 38186\n11254 16941\n67009 100000\n69898 100000\n26026 39200\n60271 90422\n4625 6947\n78154 100000\n52849 79292\n65828 98752\n91665 100000\n42127 63331\n2523 3818\n12007 18092\n5650 8482\n17003 25631\n56396 84598\n29170 43949\n40302 60616\n22921 34556\n27551 41494\n973 1488\n88744 100000\n18350 27644\n27097 40804\n75202 100000\n75135 100000\n5348 8028\n93294 100000\n20676 31183\n30752 46321\n63319 94969\n20854 31446\n57429 86149\n15738 23721\n73064 100000\n89085 100000\n86944 100000\n18115 27294\n37688 56700\n25901 39015\n75111 100000\n49145 73782\n24543 37004\n83628 100000\n18809 28333\n35118 52824\n46004 69107\n50963 76507\n60655 90990\n79041 100000\n18870 28422\n72377 100000\n15322 23084\n23735 35781\n89824 100000\n62158 93232\n14064 21195\n57980 86980\n52478 78748\n64010 96008\n34153 51367\n75628 100000\n61694 92525\n75057 100000\n45788 68791\n33889 50983\n42101 63291\n53026 79557\n93909 100000\n30223 45526\n76336 100000\n91649 100000\n64448 96652\n43244 64997\n10024 15092\n76453 100000\n78169 100000\n48587 72941\n6660 10010\n9810 14765\n36995 55668\n43251 65009\n72908 100000\n21222 31980\n38850 58431\n83460 100000\n38921 58544\n52642 78987\n30379 45759\n98619 100000\n67019 100000\n91455 100000\n33298 50112\n88198 100000\n43865 65925\n73470 100000\n51725 77654\n76053 100000\n44068 66218\n69400 100000\n73157 100000\n70927 100000\n41365 62186\n50612 75978\n35882 53973\n40510 60925\n41741 62748\n43623 65563\n92366 100000\n55557 83344\n33490 50389\n81613 100000\n24251 36570\n41420 62267\n53487 80245\n7079 10633\n16325 24611\n9376 14104\n78247 100000\n39331 59161\n54560 81857\n96409 100000\n16382 24691\n8181 12305\n33544 50466\n57500 86253\n34484 51867\n86997 100000\n49507 74327\n83773 100000\n43902 65981\n31564 47541\n69793 100000\n3046 4601\n23475 35404\n3943 5926\n25967 39111\n62032 93034\n28050 42245\n28919 43576\n63555 95319\n86171 100000\n5326 7996\n76133 100000\n62572 93854\n56111 84169\n85661 100000\n40786 61331\n42865 64424\n82122 100000\n81970 100000\n96956 100000\n67480 100000\n45845 68871\n61877 92803\n7298 10961\n13623 20520\n24771 37333\n39368 59217\n66500 99779\n82148 100000\n56891 85332\n37746 56792\n72763 100000\n57511 86270\n37587 56549\n49380 74135\n99241 100000\n73478 100000\n7997 12024\n633 971\n14371 21657\n33037 49730\n38891 58499\n2397 3624\n61868 92791\n94612 100000\n29315 44168\n85375 100000\n67245 100000\n66994 100000\n23049 34747\n92937 100000\n5755 8651\n46947 70501\n17690 26652\n36076 54261\n6825 10253\n87759 100000\n44796 67292\n92042 100000\n24123 36371\n70490 100000\n40207 60473\n61952 92917\n69478 100000\n12337 18580\n67428 100000\n28776 43366\n21437 32303\n64500 96733\n14149 21326\n110 164\n33504 50410\n30984 46666\n32865 49479\n17348 26155\n43225 64967\n6216 9341\n48620 72991\n21700 32716\n19953 30096\n40782 61327\n60177 90278\n35837 53906\n18242 27481\n33149 49892\n99425 100000\n44350 66627\n88359 100000\n59390 89118\n97485 100000\n56104 84159\n17314 26106\n47464 71266\n34245 51503\n24403 36800\n63644 95451\n88028 100000\n64842 97262\n11330 17062\n59641 89481\n47135 70785\n75865 100000\n72639 100000\n50832 76310\n49288 73995\n6532 9816\n98293 100000\n91028 100000\n39360 59207\n88455 100000\n664 1018\n37658 56653\n71502 100000\n25647 38634\n53711 80590\n80400 100000\n15814 23842\n96870 100000\n13091 19714\n78566 100000\n71266 100000\n39338 59172\n7459 11207\n94570 100000\n85547 100000\n48848 73339\n27655 41655\n71527 100000\n23335 35182\n42617 64056\n82393 100000\n84163 100000\n9729 14652\n9261 13931\n55907 83877\n25043 37743\n36262 54535\n78758 100000\n33420 50291\n72449 100000\n73153 100000\n4574 6877\n86825 100000\n33226 50005\n91573 100000\n77270 100000\n40001 60172\n33885 50977\n74112 100000\n95658 100000\n72224 100000\n62698 94040\n12148 18297\n96574 100000\n51142 76782\n31794 47883\n13785 20768\n51723 77652\n7039 10564\n64490 96718\n85739 100000\n80202 100000\n7377 11083\n63055 94573\n11431 17221\n16324 24610\n7555 11355\n51443 77225\n79552 100000\n94141 100000\n68590 100000\n66945 100000\n9704 14614\n47425 71211\n53334 80010\n76390 100000\n4864 7308\n914 1399\n52676 79035\n31289 47117\n27193 40950\n97387 100000\n70203 100000\n88278 100000\n81564 100000\n36274 54553\n62843 94254\n14380 21670\n59679 89538\n41137 61855\n38257 57565\n26025 39198\n1904 2896\n57750 86634\n17817 26846\n77527 100000\n78146 100000\n85114 100000\n34795 52332\n52061 78141\n55536 83312\n60547 90829\n41326 62134\n53043 79584\n57923 86892\n52062 78142\n66007 99024\n99952 100000\n51349 77082\n44867 67406\n15106 22765\n79328 100000\n72373 100000\n73916 100000\n35020 52678\n98506 100000\n4324 6498\n4138 6208\n70484 100000\n43924 66014\n42288 63563\n8968 13497\n72970 100000\n34108 51310\n96252 100000\n66054 99095\n76103 100000\n40998 61648\n64479 96700\n26271 39569\n77558 100000\n23283 35097\n95385 100000\n63326 94980\n70998 100000\n31552 47521\n42470 63829\n94159 100000\n49896 74892\n13890 20927\n44666 67098\n26304 39617\n9690 14592\n65340 98005\n35743 53763\n96109 100000\n38596 58060\n92336 100000\n3217 4862\n77897 100000\n17181 25909\n40939 61558\n35700 53696\n14013 21122\n6051 9101\n1798 2737\n859 1321\n10773 16216\n59653 89499\n50624 75994\n55406 83113\n65503 98256\n79137 100000\n79011 100000\n43855 65912\n98611 100000\n956 1463\n4687 7036\n51350 77084\n39046 58731\n29490 44413\n57546 86327\n41645 62607\n74950 100000\n67097 100000\n71394 100000\n58807 88231\n96517 100000\n97659 100000\n93589 100000\n8365 12579\n43212 64947\n16487 24847\n71111 100000\n85427 100000\n45108 67768\n84913 100000\n75364 100000\n25677 38678\n65830 98755\n90543 100000\n75144 100000\n60587 90891\n19742 29765\n96202 100000\n74442 100000\n56007 84024\n70459 100000\n93022 100000\n92544 100000\n93507 100000\n9961 14999\n72999 100000\n84951 100000\n3998 6005\n16138 24323\n18467 27820\n28205 42488\n73572 100000\n45665 68608\n25748 38785\n52633 78975\n95309 100000\n57209 85801\n62863 94283\n59837 89778\n52159 78279\n28067 42273\n39997 60167\n48468 72773\n30802 46400\n22158 33410\n60497 90761\n26031 39205\n62779 94159\n30847 46463\n11129 16747\n15589 23491\n268 410\n4045 6073\n52194 78330\n8697 13088\n93744 100000\n82104 100000\n35528 53439\n55376 83068\n29000 43693\n6368 9568\n40804 61358\n42835 64376\n60342 90527\n46096 69250\n5824 8752\n83825 100000\n10075 15172\n83095 100000\n32504 48947\n86082 100000\n67796 100000\n55799 83706\n69402 100000\n25519 38455\n92859 100000\n43315 65108\n98579 100000\n50764 76207\n85140 100000\n78871 100000\n74325 100000\n78878 100000\n12548 18901\n51648 77537\n76924 100000\n79326 100000\n58608 87928\n14404 21713\n57615 86433\n78135 100000\n88132 100000\n44654 67080\n69273 100000\n70093 100000\n76419 100000\n35856 53932\n670 1028\n19453 29325\n65292 97927\n75583 100000\n41123 61837\n23918 36054\n51117 76738\n47286 71002\n5884 8841\n33102 49824\n93561 100000\n52272 78447\n63154 94722\n35307 53107\n33434 50310\n78625 100000\n76458 100000\n7356 11050\n14574 21968\n70761 100000\n48128 72276\n85403 100000\n59806 89732\n84129 100000\n7853 11804\n38516 57938\n58940 88429\n78483 100000\n75394 100000\n91398 100000\n64509 96747\n51521 77341\n99053 100000\n52600 78929\n99734 100000\n3758 5659\n54923 82393\n6040 9083\n83786 100000\n12938 19475\n41110 61817\n63559 95324\n29635 44633\n8471 12737\n66648 100000\n32179 48454\n93490 100000\n40292 60601\n21690 32698\n54785 82197\n27817 41897\n45235 67953\n83054 100000\n2245 3401\n29334 44197\n30893 46536\n63009 94506\n40320 60639\n16735 25218\n69267 100000\n77027 100000\n73890 100000\n28729 43294\n72121 100000\n87298 100000\n65084 97620\n69367 100000\n56667 85004\n63334 94992\n49151 73791\n18424 27747\n65337 98000\n17430 26275\n18938 28522\n25351 38196\n81968 100000\n90340 100000\n87933 100000\n51099 76708\n34294 51584\n9781 14721\n51826 77803\n92240 100000\n32750 49305\n32142 48395\n25758 38802\n18416 27734\n49233 73917\n37275 56076\n58979 88488\n54869 82317\n79380 100000\n45813 68826\n18751 28248\n46127 69296\n48161 72328\n65916 98887\n97529 100000\n87515 100000\n76865 100000\n78402 100000\n19285 29058\n6948 10431\n22201 33474\n59560 89359\n90377 100000\n88111 100000\n63260 94879\n23331 35176\n1547 2356\n83730 100000\n53508 80280\n55592 83397\n95192 100000\n51889 77896\n9244 13905\n64199 96295\n44368 66653\n59707 89585\n6672 10029\n66705 100000\n73813 100000\n13025 19611\n37827 56911\n19365 29185\n7680 11541\n87693 100000\n16079 24234\n81884 100000\n4388 6589\n13695 20630\n48870 73372\n94533 100000\n82253 100000\n85915 100000\n71817 100000\n2012 3059\n56646 84975\n37707 56733\n27697 41717\n51866 77859\n15348 23119\n57368 86055\n59273 88931\n98750 100000\n37316 56136\n83592 100000\n89707 100000\n78211 100000\n39262 59054\n33110 49835\n1088 1664\n16879 25446\n19597 29543\n5452 8187\n20053 30242\n1086 1662\n29596 44575\n49124 73749\n25418 38296\n52128 78235\n2605 3941\n52967 79471\n98672 100000\n24413 36816\n64368 96534\n29389 44271\n28105 42330\n47429 71216\n51978 78021\n52962 79464\n23182 34942\n49627 74496\n58910 88382\n75070 100000\n29485 44406\n47589 71456\n27498 41414\n71020 100000\n6510 9785\n49622 74490\n95917 100000\n56986 85470\n44514 66864\n93837 100000\n27205 40968\n49385 74143\n26901 40515\n39710 59737\n92166 100000\n41078 61769\n25817 38895\n92510 100000\n81874 100000\n18691 28160\n10150 15284\n49959 74983\n5879 8832\n61242 91859\n35267 53052\n77231 100000\n61214 91812\n97570 100000\n38642 58131\n19440 29306\n57958 86948\n66229 99366\n89967 100000\n7916 11900\n16384 24694\n67905 100000\n80627 100000\n61955 92920\n84858 100000\n42838 64381\n78788 100000\n37721 56754\n1207 1842\n2705 4094\n15021 22635\n81425 100000\n32653 49161\n51233 76913\n74455 100000\n94660 100000\n16714 25189\n4782 7184\n41738 62744\n11343 17082\n93101 100000\n39704 59726\n83313 100000\n86631 100000\n71206 100000\n14993 22595\n56404 84608\n81882 100000\n33157 49902\n33514 50425\n18078 27239\n66635 99984\n21637 32615\n14103 21259\n60768 91164\n37089 55803\n43651 65605\n66862 100000\n87741 100000\n84678 100000\n41037 61710\n16820 25355\n88428 100000\n1341 2046\n636 975\n81717 100000\n99106 100000\n1110 1697\n55525 83297\n38557 58000\n23849 35952\n33054 49753\n90142 100000\n88874 100000\n75812 100000\n5787 8698\n39169 58921\n38855 58438\n60667 91007\n96723 100000\n39163 58910\n80993 100000\n42991 64617\n19049 28693\n90518 100000\n16286 24552\n16918 25506\n63780 95666\n36265 54540\n51128 76757\n85179 100000\n10814 16276\n11434 17225\n95489 100000\n82872 100000\n47804 71784\n40224 60499\n78706 100000\n13230 19926\n26869 40465\n53960 80976\n94324 100000\n55380 83073\n46950 70505\n98682 100000\n58224 87346\n70318 100000\n1567 2388\n97734 100000\n83590 100000\n65732 98604\n85394 100000\n53116 79698\n21257 32030\n97502 100000\n78705 100000\n35033 52698\n96912 100000\n36637 55124\n74296 100000\n39676 59682\n73251 100000\n3380 5107\n19881 29981\n40812 61369\n21503 32407\n82569 100000\n83233 100000\n19090 28758\n71778 100000\n96374 100000\n17368 26180\n23582 35556\n89761 100000\n3860 5804\n5675 8522\n97179 100000\n12817 19301\n9408 14157\n18064 27216\n37493 56412\n4002 6011\n34223 51472\n65700 98551\n59295 88967\n87595 100000\n48114 72256\n65919 98893\n1705 2597\n6791 10207\n20059 30253\n27895 42017\n61983 92963\n14875 22425\n79319 100000\n55568 83361\n59285 88950\n46106 69265\n90194 100000\n72776 100000\n78884 100000\n24316 36669\n25715 38737\n40593 61049\n1890 2878\n53434 80165\n7427 11162\n26446 39826\n77899 100000\n51333 77056\n6732 10119\n47604 71476\n37914 57049\n56782 85173\n83594 100000\n37366 56217\n23444 35354\n58841 88284\n70570 100000\n86748 100000\n81934 100000\n41867 62944\n62060 93077\n76027 100000\n15371 23155\n91701 100000\n43347 65157\n84651 100000\n28329 42680\n63792 95685\n82062 100000\n32782 49354\n3073 4642\n78319 100000\n89893 100000\n26072 39268\n16801 25326\n87097 100000\n74286 100000\n40841 61411\n18854 28395\n89823 100000\n57215 85811\n87667 100000\n57358 86039\n79413 100000\n55319 82991\n36192 54433\n62856 94273\n12514 18853\n52153 78272\n26950 40583\n87596 100000\n62001 92991\n55553 83338\n24411 36813\n36906 55540\n6765 10168\n80951 100000\n41401 62240\n4627 6951\n22022 33195\n2830 4278\n7538 11328\n97162 100000\n93310 100000\n81483 100000\n78260 100000\n62262 93397\n96656 100000\n67012 100000\n62712 94062\n65589 98389\n69239 100000\n19737 29757\n42948 64552\n13953 21034\n33272 50075\n10851 16330\n90844 100000\n31598 47597\n53207 79829\n16936 25532\n27029 40703\n60301 90466\n55967 83964\n89713 100000\n93464 100000\n81437 100000\n92277 100000\n47191 70859\n43037 64682\n19286 29060\n70901 100000\n82356 100000\n33171 49922\n6612 9935\n24845 37440\n77990 100000\n82772 100000\n58206 87319\n65543 98316\n5612 8424\n40162 60405\n12935 19469\n35204 52965\n35434 53297\n75348 100000\n7297 10959\n29947 45109\n36099 54292\n52789 79204\n1881 2865\n86036 100000\n71531 100000\n20858 31451\n900 1382\n63364 95037\n74743 100000\n88725 100000\n94584 100000\n57509 86267\n12939 19477\n93693 100000\n91286 100000\n27669 41673\n41601 62537\n31154 46925\n1345 2054\n88548 100000\n91645 100000\n90025 100000\n15683 23635\n6878 10330\n73481 100000\n34337 51651\n81680 100000\n96548 100000\n80312 100000\n56945 85416\n65497 98245\n9019 13572\n57144 85702\n70985 100000\n74537 100000\n62629 93940\n36157 54380\n7999 12026\n51947 77981\n17373 26188\n3974 5969\n4843 7275\n67333 100000\n25279 38089\n90666 100000\n36016 54170\n13214 19900\n86895 100000\n79947 100000\n13562 20434\n5802 8719\n94338 100000\n12395 18671\n7812 11740\n54724 82103\n51645 77532\n39033 58710\n34822 52373\n7971 11981\n63963 95936\n10117 15233\n54469 81719\n85972 100000\n92478 100000\n62225 93340\n55571 83366\n65073 97602\n57847 86775\n74247 100000\n89497 100000\n55121 82692\n44906 67467\n20431 30811\n16819 25354\n9556 14391\n88105 100000\n28854 43486\n54075 81147\n62517 93773\n25876 38981\n55863 83809\n51104 76716\n80903 100000\n20226 30503\n77029 100000\n34602 52044\n26611 40064\n60686 91037\n99435 100000\n16858 25413\n83906 100000\n47963 72025\n91892 100000\n99340 100000\n69406 100000\n57170 85741\n81544 100000\n49603 74463\n25473 38381\n539 825\n90556 100000\n15760 23755\n49997 75041\n99339 100000\n28293 42623\n62484 93724\n2158 3272\n8996 13541\n52699 79067\n25874 38979\n91030 100000\n67844 100000\n35324 53131\n51145 76787\n54470 81720\n62373 93562\n17244 26003\n95499 100000\n92200 100000\n7954 11957\n26734 40261\n66791 100000\n38687 58196\n68309 100000\n27762 41815\n50303 75513\n92445 100000\n73105 100000\n59677 89534\n29840 44946\n91890 100000\n81649 100000\n42114 63312\n30372 45748\n51167 76821\n47354 71106\n63543 95300\n25299 38118\n67256 100000\n94524 100000\n370 570\n23110 34833\n17237 25992\n44279 66523\n49573 74416\n56418 84627\n72618 100000\n74469 100000\n56837 85252\n48682 73088\n91165 100000\n58808 88232\n25483 38399\n58859 88308\n91928 100000\n97782 100000\n60157 90248\n2288 3464\n12022 18118\n50761 76204\n50140 75264\n37480 56393\n12700 19134\n98931 100000\n39652 59646\n76973 100000\n59960 89961\n17291 26072\n1213 1854\n17711 26685\n25184 37949\n63723 95570\n90036 100000\n87647 100000\n69051 100000\n81469 100000\n92362 100000\n73482 100000\n57581 86383\n4474 6729\n76588 100000\n13510 20352\n33608 50564\n6452 9696\n77800 100000\n83174 100000\n48013 72098\n56731 85100\n89724 100000\n32929 49574\n50620 75988\n13373 20137\n99594 100000\n70770 100000\n39417 59288\n59695 89568\n76674 100000\n18948 28537\n30739 46301\n86539 100000\n25653 38642\n70286 100000\n52466 78731\n14349 21622\n56427 84640\n65556 98336\n91486 100000\n59643 89484\n85276 100000\n20194 30452\n35265 53049\n24339 36704\n25570 38528\n68089 100000\n34254 51515\n1283 1954\n77925 100000\n4842 7274\n56681 85026\n87034 100000\n18583 27998\n69243 100000\n86420 100000\n20961 31599\n85434 100000\n59984 90000\n37538 56480\n84889 100000\n56424 84635\n53299 79962\n43808 65845\n52135 78246\n19041 28682\n85362 100000\n93655 100000\n21919 33042\n62383 93576\n89162 100000\n81474 100000\n62399 93601\n4176 6268\n13405 20188\n27823 41906\n65460 98187\n5565 8354\n7476 11236\n13181 19850\n74967 100000\n82299 100000\n51209 76879\n2119 3214\n17195 25930\n85740 100000\n73931 100000\n53625 80456\n77437 100000\n14651 22085\n75269 100000\n63444 95156\n56415 84622\n81946 100000\n2009 3056\n21681 32683\n75742 100000\n66351 99558\n69071 100000\n25337 38175\n30812 46416\n97944 100000\n93599 100000\n22964 34620\n5601 8409\n47143 70796\n13882 20915\n17393 26219\n86808 100000\n64638 96945\n55846 83782\n80726 100000\n31977 48151\n58312 87479\n98403 100000\n53259 79902\n9 15\n18496 27866\n49564 74402\n64501 96735\n6176 9282\n97503 100000\n28058 42257\n50777 76228\n18143 27333\n99882 100000\n93804 100000\n92977 100000\n86211 100000\n74927 100000\n33900 50999\n98062 100000\n87320 100000\n20324 30641\n54308 81489\n448 690\n85307 100000\n31878 48011\n35665 53649\n41102 61804\n47694 71611\n17485 26354\n35352 53177\n69556 100000\n22731 34272\n58447 87691\n37793 56863\n26856 40447\n98067 100000\n43532 65424\n34912 52516\n21856 32948\n26714 40232\n19161 28863\n76131 100000\n35748 53770\n61543 92295\n11944 18000\n34023 51187\n36154 54376\n12531 18879\n78184 100000\n17307 26097\n19850 29928\n23596 35575\n85193 100000\n41107 61811\n90445 100000\n13849 20864\n87017 100000\n55918 83895\n38223 57508\n82188 100000\n96521 100000\n66385 99609\n46185 69378\n75133 100000\n52602 78931\n44205 66417\n98491 100000\n42903 64478\n39236 59017\n6214 9339\n2154 3265\n2890 4367\n13410 20197\n98072 100000\n10389 15640\n35541 53457\n29683 44705\n56472 84711\n57262 85880\n33912 51018\n39272 59068\n4085 6134\n94368 100000\n30108 45355\n46991 70565\n48657 73049\n32953 49606\n82811 100000\n13922 20979\n26705 40217\n53484 80240\n47374 71135\n28443 42855\n8367 12583\n70736 100000\n14763 22256\n8885 13368\n45794 68799\n22207 33482\n32272 48595\n27865 41969\n28641 43156\n19713 29719\n70536 100000\n89020 100000\n54525 81803\n87370 100000\n52001 78058\n59520 89297\n23979 36149\n43194 64921\n70627 100000\n59058 88607\n25865 38964\n33018 49701\n85989 100000\n26364 39707\n91593 100000\n75325 100000\n61916 92865\n89077 100000\n56450 84673\n72020 100000\n61903 92846\n26468 39860\n53993 81026\n36435 54808\n80983 100000\n66516 99801\n61501 92232\n20650 31141\n98601 100000\n37774 56836\n20620 31098\n10247 15427\n46196 69396\n22420 33804\n9246 13908\n48975 73523\n89997 100000\n98130 100000\n73213 100000\n18300 27570\n52831 79264\n91153 100000\n3022 4566\n98158 100000\n62697 94038\n49327 74053\n70547 100000\n32793 49370\n75679 100000\n69351 100000\n45017 67632\n36797 55370\n15327 23091\n70871 100000\n8714 13114\n18526 27911\n24146 36405\n5515 8277\n97781 100000\n91582 100000\n37656 56650\n2413 3645\n65579 98372\n57974 86971\n28715 43273\n79047 100000\n15784 23793\n2299 3482\n82531 100000\n54106 81192\n75994 100000\n25355 38201\n11545 17395\n59797 89718\n14261 21497\n62179 93264\n28532 42985\n53971 80993\n65008 97506\n57474 86216\n71042 100000\n77833 100000\n13643 20551\n58639 87974\n55638 83467\n45497 68341\n87769 100000\n32159 48424\n92842 100000\n72409 100000\n39413 59283\n77696 100000\n24814 37391\n63810 95711\n675 1036\n29636 44634\n95984 100000\n42404 63735\n64561 96831\n84098 100000\n42084 63264\n39245 59028\n506 773\n26954 40589\n74168 100000\n84104 100000\n63620 95421\n2568 3887\n71726 100000\n2780 4206\n16507 24878\n88667 100000\n22972 34632\n94995 100000\n50863 76353\n18594 28012\n52778 79186\n73124 100000\n76825 100000\n42474 63835\n50052 75124\n67146 100000\n70295 100000\n17174 25898\n22672 34185\n32484 48919\n44535 66901\n74058 100000\n63986 95972\n11253 16939\n26477 39874\n54177 81302\n10600 15945\n33710 50722\n52350 78562\n91791 100000\n36664 55164\n93335 100000\n96736 100000\n55925 83905\n42733 64225\n12126 18263\n28041 42232\n28964 43642\n77323 100000\n17982 27095\n52675 79033\n16139 24324\n29813 44907\n17069 25734\n17022 25662\n33706 50716\n86876 100000\n23922 36059\n16572 24976\n99894 100000\n37970 57136\n29782 44862\n69020 100000\n57349 86024\n46189 69385\n51312 77029\n65130 97688\n10082 15181\n50226 75396\n56820 85227\n70087 100000\n29116 43866\n54086 81162\n31037 46741\n2334 3534\n71961 100000\n82189 100000\n10481 15770\n98373 100000\n55411 83122\n96783 100000\n51593 77453\n18695 28166\n87221 100000\n96856 100000\n82478 100000\n805 1240\n85849 100000\n17706 26678\n92509 100000\n41269 62052\n53901 80883\n74801 100000\n26129 39359\n97111 100000\n63582 95357\n86120 100000\n91742 100000\n90072 100000\n81831 100000\n21206 31956\n86641 100000\n89406 100000\n78166 100000\n70537 100000\n69018 100000\n34373 51703\n18481 27844\n58181 87283\n94939 100000\n12426 18718\n13357 20113\n89999 100000\n71030 100000\n7802 11724\n29081 43815\n31012 46704\n95050 100000\n13878 20909\n58097 87157\n1267 1931\n59597 89418\n6050 9100\n88301 100000\n62805 94200\n86551 100000\n96811 100000\n34894 52487\n2526 3822\n4251 6383\n76706 100000\n89634 100000\n24549 37011\n42702 64179\n13738 20696\n73147 100000\n44008 66133\n86753 100000\n5121 7692\n98457 100000\n51629 77510\n18611 28040\n57131 85682\n80351 100000\n32091 48322\n21085 31782\n85267 100000\n60040 90081\n74328 100000\n60507 90774\n41096 61794\n46625 70029\n10601 15946\n18204 27427\n28545 43008\n21184 31921\n60791 91199\n79103 100000\n74377 100000\n22815 34395\n29347 44215\n60149 90237\n77155 100000\n34094 51291\n90251 100000\n99220 100000\n6592 9903\n51454 77238\n78941 100000\n99393 100000\n73586 100000\n75721 100000\n30026 45229\n28226 42519\n40389 60742\n20979 31626\n7710 11589\n28799 43400\n74599 100000\n64423 96618\n94996 100000\n1507 2304\n77678 100000\n83012 100000\n37744 56789\n1652 2515\n30915 46568\n84944 100000\n58776 88188\n54733 82116\n43177 64894\n5739 8622\n18240 27479\n59274 88933\n90039 100000\n38165 57421\n31050 46761\n74886 100000\n52995 79511\n79249 100000\n8396 12628\n35215 52978\n64207 96309\n27001 40661\n40383 60733\n58981 88492\n92944 100000\n89611 100000\n98266 100000\n33307 50126\n96227 100000\n79769 100000\n73480 100000\n74357 100000\n86953 100000\n2391 3617\n13009 19588\n93409 100000\n57344 86017\n21175 31909\n6236 9372\n64641 96949\n5780 8688\n27509 41428\n56927 85390\n42137 63348\n41381 62210\n43842 65891\n42462 63818\n85041 100000\n53161 79763\n12505 18842\n28393 42773\n20663 31163\n49214 73889\n5885 8842\n20136 30370\n30815 46420\n53733 80623\n1718 2617\n2827 4274\n10641 16008\n26986 40638\n87264 100000\n70429 100000\n21697 32710\n69140 100000\n49557 74394\n37228 56007\n8432 12680\n7410 11136\n33711 50723\n23169 34919\n82882 100000\n20369 30713\n75998 100000\n79920 100000\n53404 80120\n10588 15928\n76931 100000\n84395 100000\n63544 95301\n7281 10936\n78342 100000\n29204 44002\n55318 82989\n78702 100000\n35220 52986\n46917 70455\n36968 55627\n35441 53308\n60494 90757\n77547 100000\n47879 71894\n53131 79719\n95501 100000\n20015 30184\n3619 5456\n49509 74330\n60414 90631\n42464 63821\n46153 69332\n40165 60409\n22068 33268\n44863 67400\n46058 69191\n61249 91870\n78527 100000\n74960 100000\n8644 13011\n45494 68338\n78151 100000\n40667 61161\n64437 96637\n11845 17849\n59284 88949\n24162 36425\n46686 70116\n31143 46906\n89537 100000\n77336 100000\n42678 64143\n55345 83026\n69127 100000\n41630 62583\n63848 95765\n13203 19883\n71731 100000\n14204 21408\n20592 31057\n49132 73762\n32957 49611\n48956 73495\n44136 66313\n69810 100000\n82526 100000\n15027 22644\n92556 100000\n67269 100000\n91787 100000\n60937 91412\n12961 19511\n39592 59555\n13731 20685\n59407 89141\n99316 100000\n89671 100000\n78795 100000\n696 1068\n74156 100000\n76522 100000\n64780 97168\n62916 94362\n99036 100000\n18740 28227\n41145 61869\n99198 100000\n26331 39658\n6896 10357\n81629 100000\n97877 100000\n18965 28563\n93517 100000\n44504 66852\n50058 75133\n87936 100000\n58632 87963\n48426 72710\n81956 100000\n91025 100000\n68246 100000\n35172 52912\n48515 72840\n28188 42460\n55414 83126\n72591 100000\n40906 61509\n19143 28835\n37502 56426\n29381 44261\n42621 64061\n58968 88472\n30910 46560\n72074 100000\n75550 100000\n19701 29700\n37441 56336\n88401 100000\n20766 31312\n80710 100000\n70099 100000\n53330 80003\n24467 36896\n28773 43360\n97519 100000\n80162 100000\n27222 40991\n48400 72673\n98637 100000\n92782 100000\n30586 46072\n78221 100000\n53432 80162\n6941 10422\n36576 55024\n94932 100000\n50473 75773\n70443 100000\n56090 84137\n25446 38341\n93484 100000\n31587 47577\n92062 100000\n78324 100000\n42500 63874\n17806 26829\n84209 100000\n88713 100000\n10827 16294\n1611 2453\n80159 100000\n68880 100000\n10116 15231\n33493 50394\n24731 37275\n63846 95762\n78188 100000\n97950 100000\n38567 58015\n47475 71279\n91267 100000\n7148 10732\n84814 100000\n61457 92167\n85952 100000\n651 997\n86016 100000\n80905 100000\n33060 49762\n95057 100000\n50218 75382\n55783 83683\n10507 15813\n91180 100000\n38932 58560\n47510 71333\n8219 12359\n21559 32494\n66783 100000\n9586 14436\n69144 100000\n60096 90162\n24067 36285\n18806 28328\n3892 5851\n700 1076\n50413 75686\n34505 51901\n59044 88585\n15360 23138\n99560 100000\n63785 95673\n22232 33518\n61514 92250\n95867 100000\n80111 100000\n71827 100000\n99244 100000\n90250 100000\n68606 100000\n5931 8912\n24707 37238\n17640 26576\n25148 37897\n62574 93857\n97867 100000\n29310 44160\n97454 100000\n67074 100000\n44624 67035\n42889 64458\n65502 98255\n21272 32054\n79461 100000\n13162 19822\n28683 43225\n49400 74165\n81630 100000\n69978 100000\n61462 92173\n29321 44175\n39725 59761\n25019 37704\n58037 87064\n11523 17362\n23372 35239\n20649 31140\n13992 21093\n9394 14133\n52716 79091\n91724 100000\n45722 68696\n40144 60380\n31908 48056\n76475 100000\n74208 100000\n25635 38618\n79345 100000\n66336 99536\n39190 58950\n98472 100000\n87548 100000\n94952 100000\n18150 27344\n70389 100000\n98711 100000\n9692 14594\n94187 100000\n94005 100000\n28372 42742\n98963 100000\n65583 98379\n67211 100000\n36980 55645\n68559 100000\n1219 1862\n46429 69738\n10461 15744\n34656 52122\n12046 18151\n45080 67725\n14357 21636\n15362 23141\n4709 7073\n45399 68196\n72356 100000\n22067 33266\n58693 88058\n43958 66062\n66248 99399\n71074 100000\n85392 100000\n49377 74129\n9012 13562\n20765 31311\n83335 100000\n24858 37457\n69992 100000\n3077 4649\n21311 32115\n20280 30581\n24450 36870\n47172 70833\n55632 83457\n21191 31932\n74688 100000\n51742 77681\n22638 34135\n86063 100000\n91900 100000\n17885 26954\n30707 46253\n2197 3329\n69436 100000\n68667 100000\n48586 72940\n22870 34477\n11679 17602\n6313 9488\n91215 100000\n93981 100000\n43208 64942\n12069 18184\n32493 48931\n83064 100000\n19967 30118\n35294 53090\n62156 93228\n46688 70118\n97710 100000\n73700 100000\n64039 96057\n73859 100000\n54602 81923\n19405 29250\n3278 4954\n33580 50520\n12403 18683\n59302 88979\n64169 96248\n13795 20780\n74246 100000\n70814 100000\n88017 100000\n86119 100000\n57651 86487\n42782 64297\n58960 88459\n39405 59273\n6998 10506\n40930 61544\n98213 100000\n15169 22854\n91229 100000\n34448 51818\n1383 2119\n46387 69676\n77731 100000\n96493 100000\n64657 96972\n53048 79593\n4561 6859\n44085 66243\n78688 100000\n70365 100000\n97129 100000\n96688 100000\n84888 100000\n90829 100000\n70854 100000\n69784 100000\n87493 100000\n3267 4938\n8063 12126\n87003 100000\n15552 23431\n42801 64326\n13408 20193\n12836 19329\n56468 84704\n69723 100000\n65963 98960\n57703 86567\n61145 91716\n87204 100000\n66407 99642\n90019 100000\n45557 68439\n70379 100000\n6481 9742\n38195 57467\n8360 12571\n50617 75983\n8129 12226\n91638 100000\n99918 100000\n1690 2571\n14477 21825\n70436 100000\n41362 62182\n8490 12768\n26605 40053\n35225 52992\n34868 52447\n53818 80754\n62565 93840\n37889 57005\n88630 100000\n43482 65354\n1792 2729\n31155 46926\n19616 29573\n31586 47575\n22687 34207\n18712 28189\n51898 77911\n27474 41376\n99195 100000\n33306 50124\n69408 100000\n97003 100000\n52519 78809\n29443 44347\n78095 100000\n97660 100000\n17729 26714\n12804 19283\n34885 52474\n39437 59318\n62242 93365\n29439 44341\n27007 40670\n67343 100000\n43048 64697\n42527 63919\n13504 20343\n54274 81440\n63114 94664\n12321 18557\n91559 100000\n11264 16960\n86951 100000\n6964 10454\n42550 63957\n34449 51820\n98096 100000\n15508 23363\n74922 100000\n38648 58140\n73553 100000\n49370 74116\n31381 47256\n13884 20918\n68856 100000\n51550 77388\n12639 19043\n57603 86414\n72414 100000\n23998 36178\n78081 100000\n7279 10933\n32764 49327\n72281 100000\n23570 35539\n83504 100000\n92398 100000\n68200 100000\n90228 100000\n54015 81060\n85086 100000\n13986 21083\n82063 100000\n9370 14095\n33864 50946\n47596 71465\n621 954\n49436 74220\n3268 4940\n5184 7779\n72686 100000\n83392 100000\n15071 22710\n30987 46669\n73378 100000\n718 1105\n90678 100000\n44375 66665\n58742 88136\n69634 100000\n1401 2149\n23810 35889\n70090 100000\n17207 25947\n71109 100000\n33773 50816\n67307 100000\n98226 100000\n91364 100000\n3572 5389\n26173 39422\n41543 62454\n20144 30381\n16115 24286\n58102 87165\n45742 68723\n99913 100000\n6906 10373\n79488 100000\n62 100\n12389 18663\n59012 88539\n81083 100000\n78901 100000\n12215 18396\n77704 100000\n46499 69842\n55812 83726\n5969 8971\n45498 68342\n19945 30083\n58847 88292\n59128 88714\n53475 80227\n45887 68933\n55723 83594\n9194 13827\n32958 49612\n6553 9849\n53279 79932\n11787 17763\n84034 100000\n49252 73943\n13700 20638\n55627 83449\n84860 100000\n86809 100000\n36782 55346\n9132 13734\n59002 88527\n76873 100000\n12113 18244\n11899 17931\n26794 40354\n99060 100000\n59675 89531\n71819 100000\n34457 51832\n61502 92233\n36072 54256\n32222 48520\n74343 100000\n24929 37564\n40263 60557\n975 1490\n33793 50846\n28508 42948\n29099 43842\n77407 100000\n45424 68233\n23959 36116\n76739 100000\n99776 100000\n86362 100000\n85670 100000\n80751 100000\n16818 25353\n22397 33773\n95004 100000\n54352 81550\n56978 85461\n85334 100000\n29756 44819\n83043 100000\n75720 100000\n20116 30337\n39873 59979\n32239 48546\n47428 71215\n89941 100000\n69649 100000\n31718 47777\n48653 73044\n52695 79061\n583 895\n60840 91268\n44259 66495\n1343 2050\n38189 57458\n31375 47247\n29296 44138\n4161 6245\n58832 88271\n17123 25817\n37909 57041\n96279 100000\n88264 100000\n86843 100000\n85900 100000\n73468 100000\n44362 66644\n85348 100000\n82504 100000\n1787 2720\n2199 3331\n52 84\n95323 100000\n78314 100000\n27935 42078\n14813 22328\n3521 5320\n97331 100000\n2436 3677\n68103 100000\n50271 75464\n3768 5672\n95792 100000\n75216 100000\n25999 39156\n80579 100000\n31757 47830\n83633 100000\n33459 50348\n23581 35554\n80261 100000\n8218 12357\n1264 1925\n54318 81504\n74287 100000\n22759 34312\n11183 16831\n79277 100000\n58609 87930\n20487 30898\n17142 25850\n54343 81537\n85487 100000\n53624 80454\n81703 100000\n25271 38080\n70498 100000\n63864 95786\n84344 100000\n57239 85845\n89026 100000\n54728 82111\n64612 96904\n75184 100000\n93105 100000\n34342 51658\n22699 34224\n18529 27915\n23662 35676\n50582 75934\n48628 73003\n6972 10466\n1006 1535\n21375 32213\n61740 92597\n89308 100000\n66079 99137\n45317 68078\n5842 8778\n73041 100000\n8035 12082\n85953 100000\n99369 100000\n38551 57991\n26497 39906\n24306 36654\n19197 28920\n72601 100000\n4104 6162\n11473 17285\n80289 100000\n70669 100000\n95540 100000\n68527 100000\n59456 89207\n18906 28474\n13616 20511\n11689 17615\n91882 100000\n34845 52410\n44525 66883\n50681 76077\n74253 100000\n95783 100000\n26908 40525\n38980 58633\n21199 31943\n34520 51925\n65146 97712\n23433 35341\n28002 42172\n69278 100000\n42248 63510\n77730 100000\n22183 33447\n96013 100000\n3489 5275\n24824 37407\n82038 100000\n13265 19978\n78933 100000\n96191 100000\n2459 3717\n29547 44500\n56373 84561\n20504 30925\n47002 70581\n84053 100000\n96477 100000\n95332 100000\n40271 60569\n39911 60038\n20662 31161\n21579 32528\n28250 42557\n66239 99384\n65609 98418\n23682 35707\n34414 51765\n43291 65071\n80772 100000\n91850 100000\n65016 97518\n20738 31271\n80477 100000\n22423 33809\n61532 92278\n13873 20901\n79721 100000\n56849 85271\n71990 100000\n31506 47448\n27938 42082\n71348 100000\n4107 6167\n99087 100000\n54063 81127\n92268 100000\n24111 36351\n89419 100000\n69060 100000\n34174 51396\n58685 88046\n7023 10540\n13252 19958\n1104 1688\n84982 100000\n96065 100000\n78587 100000\n28131 42372\n90318 100000\n96494 100000\n30203 45497\n98268 100000\n24585 37059\n5331 8005\n19363 29182\n98257 100000\n55781 83680\n37910 57042\n46498 69841\n94116 100000\n98210 100000\n6197 9313\n16160 24356\n37577 56535\n5722 8593\n76683 100000\n42104 63296\n12887 19401\n68429 100000\n58668 88021\n76104 100000\n49840 74812\n24617 37103\n11327 17056\n67836 100000\n92640 100000\n95435 100000\n22276 33588\n6865 10310\n12038 18138\n35158 52889\n33924 51036\n82387 100000\n52723 79099\n1188 1814\n26198 39459\n99132 100000\n77976 100000\n93216 100000\n63509 95252\n84941 100000\n30513 45962\n48332 72575\n85332 100000\n73022 100000\n81698 100000\n87884 100000\n85458 100000\n26360 39700\n58093 87151\n51945 77979\n94665 100000\n23855 35962\n26475 39871\n1240 1889\n87440 100000\n78269 100000\n71060 100000\n68644 100000\n82994 100000\n82438 100000\n58811 88236\n43869 65931\n58866 88317\n5835 8767\n69109 100000\n13956 21038\n47370 71129\n87927 100000\n88807 100000\n25332 38169\n57741 86619\n72113 100000\n99051 100000\n96260 100000\n57067 85588\n14675 22121\n88808 100000\n51735 77670\n62801 94195\n99194 100000\n85709 100000\n53123 79707\n2289 3465\n6305 9474\n27470 41371\n50094 75190\n2677 4053\n27515 41438\n23618 35603\n50166 75300\n9446 14211\n57090 85622\n73595 100000\n61769 92643\n40994 61640\n28023 42204\n52708 79077\n35314 53116\n94443 100000\n62590 93879\n65930 98912\n27027 40700\n97326 100000\n67763 100000\n4762 7150\n91801 100000\n11476 17291\n35886 53978\n57699 86561\n2078 3157\n30718 46268\n15304 23059\n23473 35401\n72615 100000\n8973 13505\n88446 100000\n36043 54210\n53300 79964\n93205 100000\n2371 3591\n47984 72057\n66813 100000\n80247 100000\n72965 100000\n39275 59073\n5314 7977\n18632 28070\n38835 58409\n42881 64447\n18435 27768\n23817 35900\n58942 88433\n53093 79667\n71359 100000\n12655 19068\n88424 100000\n44771 67257\n76716 100000\n45324 68088\n24255 36576\n30494 45934\n70028 100000\n11942 17997\n6242 9382\n13998 21102\n76994 100000\n43612 65544\n87592 100000\n12336 18579\n66519 99807\n64824 97233\n66057 99101\n77691 100000\n75920 100000\n45348 68126\n69834 100000\n62300 93453\n92208 100000\n14124 21286\n52760 79160\n43854 65910\n54264 81427\n53073 79635\n42214 63461\n93855 100000\n31045 46753\n18604 28029\n5561 8348\n5958 8955\n53788 80707\n32980 49645\n57388 86086\n78368 100000\n28494 42925\n27106 40818\n85291 100000\n81679 100000\n91063 100000\n78445 100000\n96798 100000\n23784 35850\n28557 43029\n70515 100000\n77453 100000\n54956 82443\n17012 25646\n33632 50597\n24346 36715\n9555 14389\n86660 100000\n43634 65578\n82903 100000\n22685 34204\n21018 31684\n23146 34884\n8889 13375\n78732 100000\n48517 72842\n5580 8378\n27145 40874\n40340 60670\n11941 17995\n69982 100000\n99791 100000\n72701 100000\n55174 82767\n44903 67463\n72855 100000\n56979 85462\n50347 75584\n70629 100000\n24140 36395\n27993 42162\n36239 54504\n41946 63065\n50363 75605\n43299 65082\n69403 100000\n93644 100000\n87337 100000\n2490 3766\n93231 100000\n49351 74090\n68566 100000\n19652 29626\n30833 46444\n13071 19683\n47130 70777\n5750 8644\n49838 74809\n42652 64106\n34568 51993\n15790 23803\n56957 85433\n69558 100000\n27368 41218\n84073 100000\n33078 49788\n85592 100000\n37936 57081\n4634 6962\n86493 100000\n17061 25721\n17945 27041\n51789 77748\n82274 100000\n5486 8232\n10190 15340\n17720 26700\n46100 69256\n44777 67266\n98227 100000\n82139 100000\n96168 100000\n22985 34652\n63014 94515\n8425 12670\n19571 29499\n18324 27609\n78254 100000\n62065 93085\n89311 100000\n39568 59516\n33046 49744\n70919 100000\n53732 80621\n31642 47661\n51833 77815\n19768 29805\n18954 28546\n49629 74499\n25209 37985\n48284 72504\n41252 62028\n17262 26031\n18283 27544\n12640 19045\n50483 75786\n27774 41836\n61860 92779\n71276 100000\n61510 92245\n42152 63369\n84855 100000\n17110 25796\n76883 100000\n50207 75364\n68972 100000\n46417 69721\n75105 100000\n4682 7029\n87793 100000\n57795 86701\n15707 23672\n26210 39477\n79823 100000\n20637 31123\n2487 3761\n99352 100000\n96690 100000\n92643 100000\n51274 76971\n90641 100000\n23654 35664\n7268 10915\n51482 77285\n25489 38409\n19644 29612\n36055 54228\n54032 81083\n68101 100000\n70545 100000\n73555 100000\n34311 51611\n65274 97902\n88984 100000\n78916 100000\n16087 24244\n18392 27700\n30863 46489\n66713 100000\n12360 18619\n29707 44741\n34535 51945\n93363 100000\n68907 100000\n62542 93807\n80459 100000\n80032 100000\n48494 72812\n45725 68699\n2901 4383\n60580 90880\n57894 86851\n37246 56034\n54737 82123\n55834 83760\n81167 100000\n45882 68926\n19969 30120\n72732 100000\n13655 20570\n75578 100000\n24728 37270\n55774 83670\n2704 4092\n87156 100000\n81130 100000\n51647 77536\n54639 81976\n67283 100000\n77130 100000\n48130 72279\n26763 40308\n26894 40504\n6146 9241\n16149 24339\n3373 5096\n29852 44962\n16473 24825\n42533 63931\n22271 33580\n28103 42326\n23785 35852\n3611 5444\n88333 100000\n91528 100000\n81696 100000\n62326 93490\n6514 9792\n2913 4404\n4564 6863\n84221 100000\n54156 81266\n81314 100000\n71752 100000\n52651 78999\n3187 4818\n8552 12866\n65575 98366\n1748 2660\n69268 100000\n86648 100000\n81837 100000\n43403 65240\n65123 97680\n13686 20616\n86524 100000\n9602 14459\n96275 100000\n29870 44992\n3509 5303\n9997 15052\n40965 61597\n65912 98881\n13216 19903\n19076 28734\n72499 100000\n12090 18213\n67300 100000\n55458 83193\n96597 100000\n23068 34774\n74634 100000\n88457 100000\n32331 48685\n66187 99301\n16406 24728\n25845 38933\n88575 100000\n7869 11829\n51880 77881\n5761 8660\n24145 36404\n1804 2747\n77552 100000\n50437 75722\n55223 82842\n36381 54727\n97420 100000\n17619 26549\n78870 100000\n98107 100000\n24775 37338\n72487 100000\n66233 99374\n78814 100000\n21732 32761\n26740 40271\n92654 100000\n11294 17007\n51935 77962\n64893 97339\n1381 2115\n59367 89086\n81031 100000\n58328 87502\n94176 100000\n25803 38872\n54909 82373\n27638 41629\n53538 80328\n2891 4368\n31200 46991\n3788 5705\n72385 100000\n9660 14543\n66814 100000\n52746 79137\n65220 97820\n76961 100000\n62210 93314\n67603 100000\n9899 14904\n40288 60594\n9618 14481\n15156 22836\n72430 100000\n19871 29965\n26340 39671\n3809 5735\n79824 100000\n44332 66600\n88914 100000\n71688 100000\n24693 37215\n30455 45876\n15039 22661\n22618 34107\n64861 97288\n96241 100000\n14015 21125\n16395 24711\n55988 83994\n68344 100000\n1551 2362\n40181 60432\n39165 58913\n8646 13014\n345 530\n83869 100000\n21290 32083\n74201 100000\n69493 100000\n68248 100000\n86682 100000\n2787 4217\n29191 43982\n742 1141\n95212 100000\n98234 100000\n29625 44617\n8401 12635\n24370 36752\n70314 100000\n13044 19641\n74440 100000\n3726 5611\n52604 78933\n49549 74383\n17224 25972\n5942 8931\n88574 100000\n89889 100000\n67727 100000\n91877 100000\n4285 6437\n12276 18491\n38759 58301\n98753 100000\n62365 93549\n16339 24632\n24960 37612\n18577 27990\n94373 100000\n44862 67398\n67879 100000\n91504 100000\n28012 42187\n44039 66175\n83031 100000\n87443 100000\n89423 100000\n7207 10822\n74371 100000\n50843 76324\n50111 75216\n66278 99445\n8325 12519\n2030 3088\n85998 100000\n24135 36386\n48029 72122\n1701 2591\n31817 47917\n7499 11267\n34828 52383\n25593 38560\n57495 86247\n96277 100000\n53583 80393\n68088 100000\n44760 67242\n19045 28687\n45105 67765\n6950 10434\n90099 100000\n74558 100000\n91542 100000\n48589 72945\n64945 97415\n51236 76916\n75702 100000\n44373 66662\n10862 16347\n371 571\n5115 7683\n40979 61618\n98725 100000\n12728 19178\n95069 100000\n98433 100000\n40705 61214\n85359 100000\n89799 100000\n89506 100000\n11821 17814\n3428 5181\n10921 16432\n8427 12674\n35402 53251\n50561 75901\n8797 13240\n29789 44871\n75499 100000\n47491 71304\n10425 15689\n10298 15505\n14054 21179\n3101 4686\n61325 91976\n88926 100000\n48660 73053\n54093 81173\n43720 65712\n43943 66043\n13720 20666\n63162 94733\n50678 76073\n10894 16395\n13095 19720\n8653 13025\n82911 100000\n29569 44535\n10533 15848\n9229 13879\n94145 100000\n23394 35278\n35914 54017\n27332 41162\n66472 99733\n44382 66675\n36266 54542\n41048 61727\n21062 31747\n97923 100000\n40273 60572\n29169 43948\n32781 49352\n67985 100000\n96111 100000\n30730 46287\n57240 85846\n60789 91195\n55625 83445\n74095 100000\n34005 51159\n31565 47542\n51231 76910\n1306 1989\n14044 21165\n35224 52991\n27864 41968\n97366 100000\n19629 29589\n61122 91676\n99099 100000\n30806 46405\n13362 20120\n41391 62225\n9503 14304\n9330 14037\n80990 100000\n62663 93985\n37443 56339\n92092 100000\n4452 6695\n14463 21805\n59016 88543\n90310 100000\n80815 100000\n32223 48522\n98369 100000\n75279 100000\n82383 100000\n60323 90499\n93543 100000\n40706 61216\n83815 100000\n57956 86944\n52726 79104\n29712 44750\n97427 100000\n49669 74557\n89549 100000\n67041 100000\n76315 100000\n85969 100000\n49427 74206\n91144 100000\n91584 100000\n60554 90838\n49099 73706\n73431 100000\n71268 100000\n70850 100000\n84640 100000\n56865 85295\n3064 4628\n62301 93455\n24638 37132\n66059 99104\n66443 99695\n1543 2352\n62841 94251\n95557 100000\n19283 29054\n37015 55698\n90847 100000\n57099 85634\n2878 4348\n80523 100000\n82415 100000\n69545 100000\n12606 18992\n35693 53685\n80722 100000\n61520 92258\n54054 81116\n69605 100000\n14991 22593\n65179 97759\n86491 100000\n5871 8821\n74901 100000\n15546 23422\n60941 91418\n63625 95427\n41506 62400\n79766 100000\n72295 100000\n7208 10823\n72656 100000\n85157 100000\n50898 76408\n13134 19779\n45398 68194\n32578 49056\n91621 100000\n8108 12194\n87048 100000\n41238 62009\n43198 64927\n30829 46440\n20262 30557\n4512 6789\n98730 100000\n98572 100000\n71820 100000\n43796 65826\n88883 100000\n88530 100000\n16852 25403\n99296 100000\n177 269\n16411 24736\n67216 100000\n40098 60311\n98523 100000\n63937 95893\n20134 30367\n95135 100000\n6799 10216\n60327 90505\n913 1398\n55604 83416\n32849 49454\n56699 85054\n55426 83148\n20741 31276\n77843 100000\n43322 65118\n11454 17254\n38226 57512\n53579 80387\n65350 98019\n35610 53564\n13806 20796\n30037 45245\n74506 100000\n49523 74350\n35625 53589\n47526 71359\n14102 21258\n44007 66132\n68160 100000\n41537 62445\n3794 5713\n67924 100000\n53353 80042\n18031 27164\n8148 12255\n35672 53658\n92330 100000\n34551 51970\n16456 24799\n59435 89178\n60886 91335\n58772 88182\n5583 8383\n87604 100000\n94560 100000\n28163 42421\n39951 60094\n66829 100000\n36212 54462\n32897 49527\n47142 70795\n99656 100000\n81521 100000\n42600 64032\n2321 3518\n76768 100000\n18531 27919\n6916 10386\n1651 2513\n95074 100000\n37926 57067\n9125 13724\n59179 88789\n85750 100000\n4745 7126\n23364 35225\n23127 34854\n78294 100000\n12709 19149\n56014 84035\n65190 97777\n78872 100000\n6824 10251\n81353 100000\n57288 85920\n34453 51826\n94058 100000\n28546 43010\n6758 10158\n81898 100000\n854 1312\n64562 96833\n23969 36132\n95292 100000\n57873 86817\n8689 13076\n79858 100000\n13593 20478\n44894 67449\n77913 100000\n79266 100000\n21285 32074\n6045 9091\n73511 100000\n12753 19213\n10937 16455\n801 1234\n12134 18274\n51089 76693\n8283 12453\n95583 100000\n42482 63847\n46711 70144\n15682 23634\n26933 40557\n36143 54360\n99815 100000\n68824 100000\n85284 100000\n6836 10269\n2975 4496\n11152 16784\n6723 10101\n80867 100000\n34227 51479\n91017 100000\n72272 100000\n73857 100000\n93485 100000\n7324 11003\n38249 57552\n46358 69630\n41568 62490\n63974 95953\n13942 21017\n59138 88726\n70525 100000\n9773 14710\n4255 6390\n35114 52817\n80157 100000\n56040 84073\n52671 79026\n31161 46935\n65875 98824\n13771 20748\n93503 100000\n22616 34104\n60239 90375\n70707 100000\n42063 63233\n89635 100000\n4257 6394\n59360 89074\n478 732\n9768 14704\n36280 54563\n10167 15305\n4337 6517\n83341 100000\n23025 34710\n51084 76686\n43759 65772\n57248 85858\n59906 89884\n10040 15118\n72094 100000\n68120 100000\n18008 27131\n17135 25838\n29809 44901\n85657 100000\n84268 100000\n41769 62789\n77417 100000\n14521 21892\n97661 100000\n78681 100000\n36537 54968\n41523 62425\n65425 98137\n61780 92658\n82753 100000\n7153 10739\n49539 74371\n93560 100000\n88577 100000\n26871 40468\n29203 44001\n68016 100000\n34150 51363\n80529 100000\n54246 81401\n14841 22375\n647 991\n53042 79583\n43437 65288\n55450 83180\n63548 95309\n10993 16537\n98722 100000\n66969 100000\n6880 10334\n54451 81697\n74385 100000\n60883 91331\n59074 88633\n44859 67393\n47417 71199\n16644 25085\n4632 6959\n50456 75749\n44645 67066\n18440 27777\n99366 100000\n75191 100000\n66093 99157\n47994 72070\n64148 96219\n56305 84454\n55598 83407\n17920 27008\n84307 100000\n27088 40791\n37522 56457\n57120 85666\n12449 18756\n26494 39902\n82689 100000\n18561 27967\n14598 22004\n33501 50405\n3338 5047\n16058 24203\n93145 100000\n38263 57572\n77891 100000\n2802 4236\n40990 61635\n66017 99039\n95015 100000\n86314 100000\n93801 100000\n62669 93995\n7742 11635\n68545 100000\n55399 83102\n9369 14093\n12672 19092\n86626 100000\n64172 96254\n13242 19947\n6336 9522\n80195 100000\n95138 100000\n47691 71608\n41614 62559\n93115 100000\n77619 100000\n81149 100000\n39883 59996\n22136 33377\n87187 100000\n8886 13370\n45684 68640\n75514 100000\n4910 7379\n10336 15557\n7702 11575\n28042 42233\n54226 81371\n67240 100000\n14436 21767\n70337 100000\n85502 100000\n2466 3726\n68483 100000\n67759 100000\n90379 100000\n11300 17016\n14719 22195\n59917 89900\n93004 100000\n13458 20272\n19056 28701\n32007 48194\n86793 100000\n52085 78172\n85447 100000\n91520 100000\n32255 48569\n32532 48989\n46872 70385\n26628 40093\n36780 55343\n47395 71166\n22662 34167\n13152 19806\n73300 100000\n97609 100000\n84327 100000\n85409 100000\n79009 100000\n83217 100000\n65131 97690\n56700 85055\n10186 15332\n95869 100000\n81309 100000\n15079 22720\n82347 100000\n17353 26160\n45483 68321\n93608 100000\n6460 9709\n83818 100000\n49353 74093\n36443 54823\n5733 8612\n23944 36094\n98604 100000\n85789 100000\n47211 70885\n49532 74360\n37776 56839\n34156 51373\n292 448\n2911 4400\n28018 42197\n37568 56521\n26650 40130\n90203 100000\n58724 88107\n38294 57617\n39181 58936\n21508 32415\n74138 100000\n70980 100000\n67637 100000\n80598 100000\n29141 43903\n32093 48325\n37952 57107\n91962 100000\n70651 100000\n94115 100000\n57005 85499\n85507 100000\n54572 81875\n54435 81674\n90773 100000\n81468 100000\n80023 100000\n7863 11820\n55512 83277\n8280 12447\n52484 78760\n83962 100000\n6120 9199\n64210 96312\n55821 83740\n36396 54749\n16604 25027\n26713 40230\n29303 44150\n1797 2736\n86418 100000\n68749 100000\n43452 65310\n19613 29569\n47144 70797\n19752 29780\n78495 100000\n61351 92015\n88501 100000\n49809 74767\n21143 31866\n44164 66352\n93738 100000\n15400 23197\n91089 100000\n47231 70918\n89173 100000\n34523 51929\n85837 100000\n37578 56536\n7276 10928\n46009 69112\n48004 72084\n97123 100000\n65781 98680\n86784 100000\n66292 99467\n53117 79699\n54128 81223\n41562 62480\n14612 22026\n83410 100000\n70315 100000\n94280 100000\n81090 100000\n30569 46044\n66360 99570\n56401 84605\n1340 2044\n14666 22109\n51957 77994\n94357 100000\n10988 16532\n76416 100000\n11629 17524\n23652 35660\n30219 45518\n65996 99009\n89238 100000\n32464 48889\n20067 30264\n48723 73154\n5439 8167\n25338 38177\n46373 69654\n98587 100000\n23458 35375\n7922 11908\n23212 34987\n30383 45765\n105 156\n64716 97068\n17344 26148\n98962 100000\n92225 100000\n1320 2012\n19248 29000\n79306 100000\n92971 100000\n45819 68834\n97808 100000\n18421 27742\n98721 100000\n65060 97585\n10377 15620\n23157 34900\n93099 100000\n36355 54685\n71411 100000\n18595 28014\n64127 96191\n82260 100000\n42681 64146\n23099 34817\n82714 100000\n91092 100000\n18665 28122\n1546 2355\n96475 100000\n57340 86011\n17896 26971\n27423 41301\n93754 100000\n54517 81792\n19207 28938\n11386 17153\n61924 92875\n20784 31337\n98790 100000\n51727 77657\n73354 100000\n19939 30076\n95535 100000\n45685 68641\n59990 90009\n59941 89935\n89992 100000\n49608 74470\n64136 96204\n9770 14706\n66567 99877\n58392 87601\n30188 45473\n34248 51506\n86253 100000\n45469 68301\n48766 73220\n94910 100000\n14016 21126\n91303 100000\n92319 100000\n21202 31948\n45322 68086\n63281 94911\n3708 5584\n59554 89351\n63579 95353\n7961 11966\n82326 100000\n6462 9712\n77329 100000\n39847 59938\n71423 100000\n6817 10243\n27395 41262\n89571 100000\n50868 76363\n71822 100000\n43353 65166\n90559 100000\n97844 100000\n62583 93870\n217 333\n16963 25574\n54263 81425\n27068 40762\n1447 2214\n63026 94530\n57859 86794\n1391 2130\n20112 30331\n57560 86347\n97464 100000\n44020 66153\n96141 100000\n22100 33319\n10278 15474\n46640 70051\n64821 97228\n52662 79015\n98244 100000\n72112 100000\n44547 66920\n99262 100000\n47720 71651\n19511 29409\n56481 84721\n93108 100000\n35419 53274\n52146 78261\n83950 100000\n10792 16242\n10765 16204\n43070 64729\n93732 100000\n47558 71409\n41857 62929\n16605 25028\n1004 1531\n58112 87180\n87075 100000\n42481 63846\n4982 7480\n46143 69318\n46419 69725\n76549 100000\n8421 12664\n89672 100000\n34732 52238\n81917 100000\n68475 100000\n6861 10305\n39503 59415\n23950 36103\n2695 4078\n21351 32175\n38262 57570\n19543 29454\n16663 25111\n2634 3985\n4327 6502\n897 1378\n55503 83260\n81845 100000\n67561 100000\n56267 84390\n79258 100000\n79135 100000\n90866 100000\n49009 73574\n14800 22308\n53234 79868\n11105 16713\n53578 80386\n21902 33016\n70050 100000\n91 138\n25841 38927\n11196 16851\n47625 71507\n21984 33137\n20356 30693\n19162 28864\n78815 100000\n66480 99746\n29427 44323\n49973 75005\n70612 100000\n55424 83144\n10579 15914\n30376 45754\n69247 100000\n47163 70820\n11777 17748\n40113 60335\n5426 8147\n5283 7933\n51950 77985\n15610 23523\n84314 100000\n75336 100000\n30554 46023\n16994 25617\n25899 39012\n635 973\n72213 100000\n74159 100000\n82485 100000\n56788 85182\n30086 45322\n52744 79133\n18567 27975\n79995 100000\n3195 4829\n75695 100000\n59100 88670\n67894 100000\n80902 100000\n91870 100000\n97170 100000\n66979 100000\n30723 46273\n92260 100000\n60009 90037\n79698 100000\n54328 81518\n99787 100000\n39527 59452\n2932 4434\n71136 100000\n35677 53664\n63309 94953\n31734 47799\n12754 19215\n83318 100000\n58443 87684\n54847 82288\n9110 13703\n60859 91298\n31254 47066\n93230 100000\n28580 43064\n28404 42790\n49014 73583\n40413 60780\n95727 100000\n53107 79687\n13677 20604\n77337 100000\n4152 6230\n96476 100000\n72076 100000\n29163 43938\n47866 71876\n40668 61162\n90843 100000\n48087 72212\n49833 74801\n66050 99090\n78576 100000\n47069 70680\n26791 40349\n52231 78383\n95594 100000\n67547 100000\n53440 80172\n28493 42924\n74819 100000\n14446 21783\n56903 85353\n28345 42708\n79195 100000\n90088 100000\n58714 88091\n60484 90738\n58579 87883\n43305 65092\n93492 100000\n23233 35019\n25641 38626\n70844 100000\n70757 100000\n31797 47888\n251 385\n435 667\n14789 22294\n4131 6200\n4507 6779\n68668 100000\n434 666\n81401 100000\n56136 84206\n83477 100000\n4509 6783\n95885 100000\n42147 63363\n63400 95095\n34072 51260\n90054 100000\n95088 100000\n61528 92272\n44570 66958\n31625 47641\n54688 82050\n5477 8221\n20876 31478\n30398 45789\n21479 32368\n78982 100000\n48750 73197\n2749 4160\n61206 91801\n37539 56481\n55607 83421\n70297 100000\n78936 100000\n20113 30332\n75819 100000\n78865 100000\n28876 43513\n70803 100000\n62407 93613\n22186 33451\n57642 86474\n27378 41236\n19096 28765\n70516 100000\n14442 21776\n61394 92078\n65815 98730\n24514 36966\n50773 76222\n24230 36537\n31034 46736\n42238 63495\n24982 37646\n49630 74501\n20938 31566\n65876 98826\n25788 38847\n24094 36325\n65714 98575\n93339 100000\n775 1194\n41079 61771\n57468 86206\n44063 66211\n35392 53236\n53030 79563\n33464 50354\n96720 100000\n77555 100000\n13991 21091\n61205 91800\n8641 13007\n78752 100000\n43729 65723\n75274 100000\n83332 100000\n17606 26531\n60109 90180\n52750 79144\n32435 48841\n11061 16643\n88957 100000\n65075 97605\n52026 78095\n15306 23062\n9567 14409\n46213 69420\n94661 100000\n32694 49227\n75140 100000\n46758 70214\n69334 100000\n90715 100000\n98522 100000\n54266 81429\n91377 100000\n21395 32240\n39615 59591\n82861 100000\n66758 100000\n77465 100000\n73737 100000\n93698 100000\n27573 41528\n2314 3506\n13228 19922\n34470 51847\n252 386\n97245 100000\n27417 41293\n72628 100000\n31841 47958\n18603 28027\n21701 32718\n21619 32591\n7790 11706\n8779 13212\n60987 91482\n58747 88143\n84525 100000\n84459 100000\n24457 36878\n25435 38324\n65486 98228\n5180 7773\n21020 31687\n17918 27005\n68797 100000\n97041 100000\n66199 99321\n76833 100000\n26549 39977\n91413 100000\n3926 5898\n55653 83489\n5107 7669\n66026 99051\n6828 10257\n73960 100000\n17894 26969\n8276 12442\n57489 86238\n14586 21986\n68438 100000\n81927 100000\n87590 100000\n64081 96125\n8699 13091\n86076 100000\n776 1196\n42809 64338\n20910 31527\n8832 13294\n4135 6205\n495 756\n58154 87245\n80818 100000\n10379 15623\n56318 84474\n49366 74109\n6704 10073\n9649 14525\n66971 100000\n31688 47734\n952 1456\n67776 100000\n69655 100000\n78157 100000\n67855 100000\n95218 100000\n73604 100000\n27476 41378\n71983 100000\n51805 77771\n42468 63825\n7155 10742\n33707 50718\n56680 85024\n21676 32676\n34779 52309\n43642 65591\n78148 100000\n36750 55300\n93839 100000\n80572 100000\n70221 100000\n90113 100000\n4265 6404\n72682 100000\n84088 100000\n24935 37572\n64936 97400\n57332 85996\n85444 100000\n72599 100000\n46149 69326\n34390 51729\n60623 90945\n88451 100000\n55519 83289\n2765 4183\n74210 100000\n67535 100000\n20170 30420\n79602 100000\n15621 23538\n20646 31136\n49369 74114\n76461 100000\n54123 81217\n2092 3176\n33458 50346\n13282 20002\n376 577\n33689 50688\n24289 36628\n32507 48951\n53054 79603\n11450 17247\n78117 100000\n17923 27011\n72137 100000\n66430 99676\n10283 15482\n59063 88615\n98255 100000\n76287 100000\n72503 100000\n39026 58700\n69895 100000\n87042 100000\n90183 100000\n24527 36985\n53952 80965\n94378 100000\n62149 93216\n76108 100000\n13319 20056\n47064 70671\n3372 5095\n6618 9944\n82834 100000\n30084 45319\n29395 44280\n90703 100000\n21916 33037\n62962 94435\n69257 100000\n35134 52848\n4364 6555\n83456 100000\n3306 4994\n44371 66659\n81108 100000\n98041 100000\n53246 79884\n59913 89895\n77082 100000\n91105 100000\n27962 42117\n88537 100000\n76568 100000\n70002 100000\n33633 50598\n66986 100000\n27816 41896\n61611 92394\n38796 58354\n12432 18727\n53341 80023\n1779 2707\n9797 14747\n96507 100000\n58038 87066\n21623 32595\n59433 89175\n67621 100000\n62885 94317\n76738 100000\n72593 100000\n87744 100000\n77727 100000\n81200 100000\n37407 56281\n92863 100000\n1796 2735\n79005 100000\n74503 100000\n47970 72034\n98712 100000\n67124 100000\n65354 98026\n59443 89189\n88399 100000\n6247 9389\n18049 27192\n53743 80639\n98076 100000\n46883 70405\n60619 90937\n87904 100000\n78525 100000\n3337 5045\n85956 100000\n37945 57096\n7195 10804\n80279 100000\n34152 51366\n29493 44417\n3436 5193\n26562 39993\n82075 100000\n7122 10691\n7779 11690\n89577 100000\n77161 100000\n62891 94325\n39990 60156\n98108 100000\n49029 73604\n22091 33302\n24885 37499\n8915 13414\n70567 100000\n81471 100000\n44234 66460\n8377 12596\n22104 33326\n60993 91491\n43480 65351\n15067 22703\n99072 100000\n56495 84744\n75028 100000\n2481 3752\n43098 64774\n76159 100000\n31331 47176\n94257 100000\n1912 2908\n16042 24176\n12264 18473\n31837 47952\n78234 100000\n19318 29114\n21966 33115\n8123 12216\n91891 100000\n75483 100000\n78191 100000\n10940 16459\n49781 74726\n47622 71502\n54872 82320\n16019 24139\n26404 39768\n8054 12110\n82058 100000\n3106 4692\n49661 74546\n92970 100000\n25250 38046\n58530 87812\n60970 91457\n13331 20073\n56790 85184\n21588 32542\n58817 88246\n51425 77196\n58322 87492\n27639 41631\n81539 100000\n23948 36099\n47665 71570\n39558 59498\n25064 37775\n42153 63371\n33638 50607\n24991 37662\n72071 100000\n22036 33216\n72306 100000\n13324 20062\n88321 100000\n72795 100000\n84977 100000\n75542 100000\n32931 49577\n90497 100000\n54919 82388\n2831 4279\n66438 99689\n45196 67897\n79726 100000\n19989 30145\n1698 2586\n88166 100000\n96928 100000\n8139 12241\n90618 100000\n26696 40203\n20829 31407\n21056 31741\n33526 50442\n16427 24757\n75662 100000\n4779 7180\n80994 100000\n87465 100000\n13584 20467\n12054 18163\n24975 37637\n72031 100000\n73132 100000\n37732 56772\n35385 53226\n22332 33672\n74519 100000\n53424 80152\n77236 100000\n22788 34355\n55664 83503\n66944 100000\n93727 100000\n98361 100000\n11694 17624\n51675 77580\n32199 48483\n28861 43495\n7231 10858\n6680 10040\n43342 65149\n53408 80127\n34881 52468\n32277 48603\n7618 11450\n69501 100000\n54783 82195\n2434 3674\n45219 67928\n3975 5971\n5812 8733\n28509 42949\n40087 60297\n76249 100000\n72005 100000\n95377 100000\n72114 100000\n45945 69021\n69836 100000\n7033 10555\n47194 70862\n33643 50617\n90472 100000\n68083 100000\n73376 100000\n33042 49738\n94734 100000\n27039 40718\n63854 95772\n42061 63230\n71540 100000\n91521 100000\n24660 37166\n77226 100000\n73848 100000\n4975 7471\n37790 56859\n27705 41729\n13123 19763\n24745 37296\n36733 55272\n12412 18697\n96052 100000\n23990 36168\n39233 59013\n82785 100000\n51922 77942\n21223 31981\n11086 16682\n22983 34648\n25668 38663\n69587 100000\n7070 10616\n20362 30703\n92668 100000\n52096 78188\n41097 61796\n19570 29498\n83185 100000\n22231 33517\n23797 35870\n3873 5825\n3858 5802\n94829 100000\n77280 100000\n78480 100000\n47801 71780\n74751 100000\n77965 100000\n40728 61250\n4203 6312\n45551 68430\n62104 93142\n76070 100000\n44809 67316\n49582 74430\n29049 43768\n32830 49420\n80407 100000\n75138 100000\n71718 100000\n13312 20046\n19559 29482\n43739 65739\n15358 23135\n67140 100000\n72868 100000\n64777 97164\n21459 32339\n55960 83954\n79166 100000\n34619 52068\n23670 35687\n97212 100000\n81527 100000\n48691 73101\n78578 100000\n48690 73100\n56896 85341\n87208 100000\n73507 100000\n57194 85775\n26757 40299\n59358 89072\n13703 20642\n95328 100000\n98705 100000\n38201 57475\n8815 13269\n4304 6470\n2723 4120\n51580 77433\n80339 100000\n65372 98055\n4825 7250\n11267 16965\n39857 59952\n40099 60313\n8866 13344\n64217 96324\n2784 4211\n80514 100000\n60000 90022\n26583 40022\n50381 75632\n15506 23360\n79993 100000\n49337 74070\n83197 100000\n39313 59131\n53526 80307\n21609 32575\n43588 65509\n3458 5224\n52112 78211\n98889 100000\n13835 20843\n92248 100000\n90566 100000\n42231 63485\n27644 41638\n56622 84936\n88037 100000\n91734 100000\n95392 100000\n69851 100000\n71645 100000\n22322 33654\n87055 100000\n23030 34719\n48058 72165\n23965 36127\n80621 100000\n63477 95205\n55844 83779\n28031 42219\n99147 100000\n70474 100000\n81335 100000\n17418 26257\n49474 74274\n96340 100000\n89879 100000\n77218 100000\n1948 2965\n78174 100000\n5340 8017\n78449 100000\n68881 100000\n40013 60189\n83394 100000\n82229 100000\n53670 80525\n25506 38436\n7046 10575\n50202 75355\n27486 41395\n36675 55182\n42707 64186\n41530 62434\n38637 58124\n97192 100000\n69395 100000\n17957 27056\n65740 98617\n84971 100000\n84030 100000\n80265 100000\n98016 100000\n26483 39885\n52769 79172\n33788 50839\n56138 84209\n61590 92365\n71250 100000\n44425 66740\n76173 100000\n97718 100000\n90770 100000\n25956 39095\n33709 50721\n16250 24495\n52428 78676\n57565 86356\n76141 100000\n28113 42345\n72992 100000\n11395 17169\n28100 42322\n41939 63054\n88929 100000\n65455 98178\n3875 5827\n68494 100000\n36978 55643\n78410 100000\n36916 55555\n28955 43630\n53263 79908\n24734 37280\n21279 32064\n68285 100000\n38191 57461\n59504 89278\n22669 34181\n8369 12586\n55076 82622\n93783 100000\n16320 24603\n62076 93102\n64054 96081\n54990 82497\n39310 59126\n602 925\n98114 100000\n3386 5116\n15916 23991\n62428 93645\n43012 64645\n21289 32082\n7097 10659\n13617 20512\n11763 17729\n58843 88287\n25282 38093\n77855 100000\n80793 100000\n36123 54328\n46720 70158\n53461 80206\n63158 94727\n21659 32649\n85833 100000\n10979 16520\n72549 100000\n30679 46211\n64165 96243\n80296 100000\n49496 74310\n77579 100000\n88445 100000\n82451 100000\n19810 29867\n66525 99815\n50817 76289\n80574 100000\n15536 23408\n40187 60442\n23111 34834\n14639 22068\n90621 100000\n89408 100000\n67232 100000\n99354 100000\n84161 100000\n83600 100000\n1129 1726\n3763 5665\n13320 20058\n93057 100000\n53377 80079\n4565 6865\n50188 75334\n87287 100000\n21284 32073\n54915 82382\n15455 23280\n66083 99143\n26408 39774\n59780 89692\n62453 93681\n15254 22983\n36477 54876\n45247 67969\n14496 21853\n17402 26233\n14924 22497\n68338 100000\n27861 41963\n67148 100000\n43149 64851\n65140 97703\n36855 55458\n61473 92192\n17147 25857\n5936 8921\n20743 31279\n15143 22817\n47887 71904\n49264 73962\n29619 44608\n28152 42404\n51857 77845\n26573 40009\n62754 94124\n93813 100000\n92943 100000\n66087 99148\n40318 60637\n72241 100000\n37398 56268\n7612 11441\n43180 64898\n81117 100000\n28020 42201\n89327 100000\n29847 44954\n45857 68890\n99448 100000\n84211 100000\n8847 13314\n34958 52586\n85559 100000\n78048 100000\n61843 92753\n52593 78918\n44147 66331\n2390 3615\n12828 19319\n1134 1733\n25454 38353\n69282 100000\n40110 60331\n71344 100000\n55246 82876\n50434 75718\n33656 50635\n56701 85057\n23557 35522\n96932 100000\n42795 64318\n59112 88687\n66787 100000\n23264 35064\n22903 34529\n18176 27382\n85545 100000\n53574 80379\n7121 10690\n48444 72736\n42586 64010\n13473 20295\n36631 55114\n10938 16457\n36779 55342\n98717 100000\n79502 100000\n70886 100000\n23637 35636\n4243 6370\n63988 95974\n59940 89934\n19400 29243\n10750 16184\n10558 15886\n96330 100000\n95375 100000\n7154 10740\n78981 100000\n23535 35488\n70210 100000\n56441 84661\n54073 81143\n83050 100000\n19309 29100\n25163 37919\n85549 100000\n24976 37638\n11619 17508\n43513 65394\n54028 81078\n49870 74854\n78787 100000\n68351 100000\n78984 100000\n56651 84983\n40806 61361\n46936 70484\n78823 100000\n52571 78886\n79748 100000\n99059 100000\n64877 97315\n59450 89199\n36685 55199\n99630 100000\n16839 25383\n28281 42606\n27458 41352\n78830 100000\n22735 34279\n76379 100000\n37408 56283\n38586 58045\n73159 100000\n91282 100000\n71301 100000\n94340 100000\n83198 100000\n6369 9569\n95382 100000\n43743 65745\n87032 100000\n42960 64567\n58393 87603\n35703 53701\n10039 15116\n1680 2556\n85046 100000\n4904 7368\n78096 100000\n38397 57771\n10279 15475\n58868 88320\n82978 100000\n66368 99582\n33050 49749\n50592 75949\n65238 97844\n3877 5830\n43649 65601\n39022 58694\n96774 100000\n32389 48773\n58353 87540\n38751 58289\n7232 10860\n86804 100000\n86856 100000\n99038 100000\n63784 95672\n53726 80614\n11625 17517\n85667 100000\n58273 87414\n39798 59874\n73713 100000\n5106 7668\n18249 27492\n57064 85583\n55610 83425\n58293 87447\n57519 86282\n65668 98503\n60921 91387\n75445 100000\n38741 58275\n9310 14010\n64605 96893\n17028 25669\n14591 21994\n44844 67367\n95271 100000\n36874 55487\n19609 29563\n16407 24730\n75375 100000\n29265 44094\n291 447\n74277 100000\n19047 28689\n88369 100000\n5279 7928\n92763 100000\n31749 47819\n22539 33977\n72863 100000\n49069 73663\n60209 90327\n46206 69411\n42148 63364\n27798 41871\n41247 62021\n85296 100000\n11669 17584\n92905 100000\n11099 16703\n85844 100000\n12971 19529\n7473 11231\n12525 18870\n35742 53762\n44940 67517\n37169 55926\n40315 60634\n14665 22108\n34499 51891\n80922 100000\n71475 100000\n90613 100000\n44084 66242\n99762 100000\n14593 21996\n85859 100000\n57095 85628\n26238 39515\n26495 39903\n99695 100000\n84077 100000\n42089 63271\n5952 8946\n49936 74950\n82401 100000\n1668 2540\n67208 100000\n46813 70303\n16703 25173\n44048 66191\n21329 32143\n92734 100000\n77310 100000\n72396 100000\n44965 67554\n95106 100000\n47504 71324\n79438 100000\n80770 100000\n87177 100000\n42393 63718\n71612 100000\n98807 100000\n47282 70996\n95732 100000\n40434 60811\n8944 13459\n11676 17597\n66094 99159\n14282 21531\n71251 100000\n88149 100000\n22748 34294\n15650 23586\n77213 100000\n28865 43499\n30997 46684\n15871 23927\n45878 68921\n91071 100000\n11164 16800\n36977 55641\n19043 28684\n59865 89821\n42521 63909\n14187 21382\n54383 81595\n4925 7401\n16457 24800\n3761 5663\n62155 93226\n46468 69796\n97347 100000\n91839 100000\n67565 100000\n59775 89685\n73975 100000\n26180 39431\n42536 63934\n38173 57434\n81026 100000\n31224 47026\n40269 60567\n88402 100000\n66269 99432\n9823 14784\n51596 77458\n86628 100000\n89685 100000\n24798 37370\n61708 92546\n23416 35312\n8890 13377\n64884 97327\n85472 100000\n2793 4224\n28766 43350\n13129 19772\n75373 100000\n43150 64853\n25468 38375\n62217 93327\n79049 100000\n63768 95644\n99580 100000\n57113 85655\n52902 79369\n64173 96256\n37067 55770\n20432 30812\n70086 100000\n25459 38361\n84592 100000\n50815 76286\n45541 68414\n91088 100000\n17643 26581\n16743 25230\n77674 100000\n81399 100000\n59039 88578\n91713 100000\n8105 12188\n28196 42474\n41194 61940\n43412 65254\n59815 89746\n78595 100000\n9824 14786\n99710 100000\n83888 100000\n5428 8150\n29281 44116\n64260 96384\n25886 38994\n80946 100000\n42461 63817\n93553 100000\n90486 100000\n82885 100000\n8623 12978\n36455 54840\n49535 74365\n28377 42749\n71104 100000\n49080 73681\n89138 100000\n14414 21729\n71565 100000\n91466 100000\n4415 6634\n13537 20394\n21173 31907\n83811 100000\n20838 31420\n17961 27063\n58054 87094\n19347 29160\n39810 59891\n74731 100000\n14168 21354\n89266 100000\n99357 100000\n27609 41585\n10650 16023\n69181 100000\n22738 34282\n45030 67651\n91679 100000\n69097 100000\n60087 90150\n8310 12495\n12101 18228\n9304 14001\n95102 100000\n66746 100000\n48421 72703\n46507 69853\n32119 48359\n89584 100000\n21675 32674\n62324 93488\n14318 21579\n79630 100000\n64642 96951\n13159 19816\n37690 56703\n25540 38483\n3624 5463\n6631 9964\n61401 92088\n12349 18601\n97313 100000\n38854 58437\n57303 85945\n57375 86066\n32288 48619\n79280 100000\n38727 58255\n36342 54664\n24325 36683\n9700 14609\n43594 65519\n9010 13560\n63918 95865\n8975 13508\n85438 100000\n99842 100000\n19618 29575\n28099 42321\n50665 76052\n99977 100000\n10512 15818\n96635 100000\n40226 60502\n54849 82291\n49731 74649\n58339 87518\n22318 33648\n47521 71351\n26095 39306\n21864 32960\n96800 100000\n26295 39604\n4874 7323\n54972 82469\n53923 80915\n81227 100000\n46226 69436\n26800 40362\n58951 88447\n70274 100000\n73758 100000\n98884 100000\n4542 6833\n35934 54044\n40681 61179\n74048 100000\n12738 19193\n38272 57585\n86550 100000\n35266 53050\n78948 100000\n81647 100000\n58159 87251\n25246 38040\n31796 47886\n33785 50834\n6555 9852\n34238 51495\n6254 9402\n8417 12660\n72753 100000\n29285 44123\n66224 99360\n56456 84684\n76637 100000\n21600 32561\n46405 69702\n6137 9225\n37884 56998\n85694 100000\n38329 57669\n72458 100000\n86673 100000\n19451 29322\n32129 48376\n62844 94256\n75635 100000\n18260 27508\n61797 92684\n60235 90370\n47363 71120\n14258 21492\n14794 22301\n99492 100000\n99075 100000\n40424 60796\n10823 16289\n97645 100000\n23509 35453\n88022 100000\n30714 46263\n45432 68245\n61958 92924\n34738 52246\n92337 100000\n39639 59628\n90435 100000\n3738 5630\n32829 49418\n19655 29630\n60456 90694\n21535 32455\n29642 44642\n46041 69163\n46247 69468\n46988 70561\n17105 25790\n24747 37299\n24804 37377\n14402 21711\n61679 92502\n74984 100000\n29295 44137\n53853 80807\n79733 100000\n23298 35122\n64239 96356\n3676 5538\n43179 64897\n71745 100000\n8767 13193\n60027 90064\n68382 100000\n12136 18278\n84342 100000\n64847 97270\n68466 100000\n86077 100000\n84323 100000\n92410 100000\n46118 69282\n85357 100000\n98202 100000\n18798 28317\n48499 72818\n14101 21256\n53650 80495\n81555 100000\n12049 18155\n52464 78728\n47090 70716\n51508 77327\n51450 77233\n15651 23587\n62673 94002\n9572 14417\n87241 100000\n17258 26025\n3199 4834\n11438 17229\n24712 37245\n82515 100000\n85903 100000\n31105 46849\n69202 100000\n21348 32170\n99718 100000\n81100 100000\n65371 98053\n85901 100000\n34473 51852\n67777 100000\n69054 100000\n39610 59582\n60446 90681\n3314 5008\n17080 25752\n87650 100000\n76639 100000\n98906 100000\n70312 100000\n52422 78667\n57030 85533\n45690 68649\n62253 93383\n74436 100000\n7312 10981\n39872 59977\n4712 7077\n28529 42980\n44429 66747\n52468 78735\n12129 18266\n17480 26345\n40449 60834\n38021 57207\n66929 100000\n84114 100000\n55732 83606\n87830 100000\n95304 100000\n31431 47332\n38818 58384\n43659 65617\n90412 100000\n42448 63796\n14022 21133\n96660 100000\n18768 28273\n40188 60444\n67457 100000\n42265 63531\n93026 100000\n47784 71753\n85949 100000\n2990 4518\n57066 85586\n26729 40255\n58412 87635\n52125 78231\n95835 100000\n40128 60360\n29038 43753\n71660 100000\n48567 72911\n30953 46626\n52008 78067\n45761 68752\n61201 91794\n71366 100000\n18562 27969\n77692 100000\n93617 100000\n67709 100000\n65801 98709\n848 1304\n71325 100000\n76517 100000\n68010 100000\n63830 95740\n52326 78528\n94391 100000\n14359 21638\n86066 100000\n8787 13225\n88629 100000\n3049 4606\n28396 42778\n7672 11531\n62355 93533\n9776 14714\n45205 67911\n34752 52267\n80512 100000\n50932 76462\n99861 100000\n17715 26693\n22637 34134\n82293 100000\n77048 100000\n67109 100000\n68727 100000\n4916 7388\n20129 30358\n65091 97630\n10644 16012\n7539 11330\n39502 59414\n76896 100000\n39198 58963\n62956 94425\n69783 100000\n31929 48084\n13287 20010\n5093 7651\n86213 100000\n89902 100000\n74795 100000\n53876 80844\n36295 54586\n14541 21922\n50544 75876\n47597 71467\n8636 12999\n23478 35409\n40514 60932\n86974 100000\n47780 71745\n98345 100000\n87764 100000\n78769 100000\n77108 100000\n75759 100000\n87029 100000\n64797 97194\n28021 42202\n14587 21987\n90124 100000\n9676 14571\n98245 100000\n43607 65537\n61598 92376\n4146 6220\n48543 72880\n40304 60618\n53938 80940\n25717 38740\n23925 36064\n48189 72372\n97552 100000\n274 418\n30401 45793\n5522 8289\n45694 68655\n23405 35296\n80203 100000\n49810 74768\n77591 100000\n75008 100000\n88273 100000\n78351 100000\n19331 29135\n38475 57885\n97989 100000\n50411 75682\n10261 15447\n65303 97944\n19914 30032\n12469 18785\n27204 40966\n25146 37894\n72781 100000\n50919 76441\n53074 79636\n86297 100000\n80361 100000\n23323 35165\n61915 92863\n49597 74453\n16461 24805\n12286 18505\n30357 45725\n61491 92218\n25044 37745\n28589 43076\n76756 100000\n20236 30518\n36095 54288\n86552 100000\n63198 94787\n24877 37488\n9220 13864\n14580 21977\n61125 91680\n28244 42546\n65922 98899\n38713 58233\n94779 100000\n13329 20070\n8986 13525\n114 171\n52199 78335\n43748 65753\n50715 76132\n10734 16156\n79487 100000\n18649 28097\n96144 100000\n31405 47293\n912 1396\n30901 46548\n44904 67464\n70855 100000\n63546 95305\n51190 76857\n26083 39286\n60599 90909\n28501 42938\n51281 76981\n58345 87527\n86231 100000\n34340 51655\n8222 12365\n71927 100000\n62058 93074\n19667 29649\n23479 35411\n76259 100000\n97976 100000\n94657 100000\n62819 94218\n39217 58990\n40440 60819\n41192 61938\n81795 100000\n69633 100000\n38657 58153\n36293 54584\n93252 100000\n67686 100000\n58889 88349\n77645 100000\n38186 57455\n62809 94205\n8358 12567\n53513 80288\n21818 32891\n53999 81034\n76381 100000\n14607 22019\n32942 49592\n45569 68458\n5191 7789\n10302 15511\n29275 44108\n93024 100000\n95511 100000\n16409 24733\n65859 98799\n28176 42441\n93835 100000\n98701 100000\n65156 97726\n68691 100000\n59368 89088\n10118 15235\n8243 12396\n57979 86978\n55216 82831\n90459 100000\n12490 18820\n87920 100000\n99166 100000\n34148 51361\n52505 78788\n63241 94849\n92021 100000\n68533 100000\n18369 27667\n77856 100000\n93585 100000\n3355 5071\n33115 49842\n27884 42000\n10769 16211\n75723 100000\n62448 93674\n89686 100000\n58930 88415\n12457 18767\n84641 100000\n40033 60220\n56653 84986\n54296 81474\n33872 50958\n55113 82677\n65124 97681\n76816 100000\n44763 67247\n63068 94590\n75958 100000\n51576 77426\n81454 100000\n99532 100000\n30552 46020\n7699 11570\n61364 92035\n30639 46149\n41305 62104\n99406 100000\n52144 78257\n64431 96630\n93971 100000\n35796 53843\n60179 90282\n18024 27154\n64872 97307\n55019 82539\n79923 100000\n68741 100000\n31902 48048\n16405 24727\n59267 88921\n75827 100000\n33335 50169\n38828 58399\n91561 100000\n58688 88050\n30283 45614\n18549 27946\n72421 100000\n7926 11913\n92857 100000\n19086 28752\n4807 7223\n7857 11810\n12827 19317\n3108 4695\n62388 93585\n97551 100000\n47578 71441\n65565 98350\n48310 72543\n87406 100000\n2730 4130\n70697 100000\n31607 47611\n15611 23524\n81862 100000\n55327 83004\n99349 100000\n71624 100000\n34067 51253\n27832 41919\n15623 23541\n80790 100000\n33895 50992\n85356 100000\n46074 69215\n51819 77792\n24722 37260\n53006 79528\n24335 36699\n90831 100000\n15974 24071\n79638 100000\n22485 33903\n84271 100000\n70804 100000\n16742 25229\n71640 100000\n11029 16594\n97468 100000\n38290 57611\n41111 61819\n27115 40827\n13032 19621\n147 222\n14754 22244\n53401 80117\n87024 100000\n66098 99165\n51184 76848\n42047 63210\n47575 71435\n67434 100000\n77702 100000\n71707 100000\n90091 100000\n98925 100000\n91116 100000\n97473 100000\n27333 41164\n84886 100000\n10355 15584\n90828 100000\n94640 100000\n98057 100000\n88661 100000\n96906 100000\n26702 40213\n15389 23180\n58536 87820\n71865 100000\n67958 100000\n56850 85273\n4776 7175\n94796 100000\n96040 100000\n56159 84234\n87883 100000\n59747 89643\n23296 35119\n70858 100000\n3810 5737\n68862 100000\n75649 100000\n17084 25757\n93075 100000\n37542 56485\n786 1212\n5292 7946\n22346 33693\n68877 100000\n92936 100000\n62011 93007\n35389 53231\n22369 33726\n77279 100000\n80267 100000\n38861 58448\n28228 42522\n22793 34363\n96838 100000\n92950 100000\n50082 75170\n42457 63810\n30098 45342\n52111 78210\n19153 28853\n13547 20411\n8459 12720\n39706 59730\n87318 100000\n86908 100000\n6182 9292\n84812 100000\n76868 100000\n64167 96246\n26268 39565\n43183 64903\n47111 70750\n73288 100000\n74651 100000\n26292 39599\n42106 63299\n14 22\n26801 40363\n37848 56944\n71767 100000\n63689 95518\n55817 83734\n40849 61423\n59627 89459\n78315 100000\n59672 89526\n93184 100000\n93610 100000\n33092 49809\n12878 19387\n72245 100000\n1399 2145\n61814 92707\n98126 100000\n26577 40015\n80663 100000\n47449 71246\n23916 36052\n95604 100000\n6715 10088\n70354 100000\n46137 69311\n33410 50276\n55667 83508\n37938 57084\n60847 91279\n9721 14639\n22577 34039\n32790 49365\n39577 59531\n72680 100000\n22228 33512\n16857 25412\n25592 38559\n13517 20364\n12893 19411\n96119 100000\n74811 100000\n44581 66972\n80859 100000\n8109 12195\n16741 25227\n64177 96263\n20214 30485\n55941 83926\n79333 100000\n85814 100000\n57782 86680\n10934 16450\n97935 100000\n71371 100000\n4830 7256\n74548 100000\n33132 49865\n60265 90413\n66421 99662\n16550 24942\n62521 93779\n96297 100000\n93030 100000\n35099 52798\n48495 72814\n19192 28912\n18405 27719\n44189 66387\n83110 100000\n67667 100000\n80024 100000\n61354 92019\n11609 17493\n72915 100000\n99411 100000\n96061 100000\n23445 35355\n41913 63013\n49354 74094\n1557 2372\n67666 100000\n10490 15785\n85262 100000\n98124 100000\n83426 100000\n40208 60474\n72016 100000\n55976 83976\n66049 99089\n83472 100000\n42518 63905\n28054 42252\n87768 100000\n2991 4519\n1263 1924\n35723 53733\n69314 100000\n67023 100000\n9620 14483\n27318 41140\n82023 100000\n26080 39280\n63714 95557\n12900 19421\n33485 50382\n62394 93594\n60994 91493\n36343 54665\n44378 66669\n16064 24213\n54281 81451\n61931 92885\n2085 3166\n14119 21279\n67472 100000\n99524 100000\n76569 100000\n95175 100000\n88456 100000\n77487 100000\n46283 69518\n58766 88174\n32174 48446\n3671 5531\n92590 100000\n38638 58125\n34081 51271\n37204 55974\n23002 34675\n43987 66106\n6130 9214\n14011 21120\n50105 75206\n79193 100000\n66272 99436\n48741 73184\n2369 3588\n65269 97895\n79396 100000\n40282 60586\n16256 24505\n61775 92651\n18197 27415\n28679 43218\n97684 100000\n77436 100000\n81597 100000\n7331 11014\n54696 82064\n47518 71346\n46745 70197\n61660 92474\n27598 41566\n73940 100000\n82194 100000\n7949 11949\n6568 9869\n1371 2099\n64510 96749\n26478 39876\n19729 29745\n8837 13301\n90417 100000\n83317 100000\n18354 27650\n39677 59683\n44742 67213\n34734 52241\n11424 17214\n27210 40976\n85149 100000\n20477 30882\n69306 100000\n1254 1911\n40115 60338\n55983 83988\n89753 100000\n98856 100000\n49108 73721\n10756 16192\n36153 54375\n68842 100000\n43356 65170\n77738 100000\n98842 100000\n79355 100000\n68560 100000\n93150 100000\n20303 30610\n78664 100000\n51207 76875\n62013 93009\n77191 100000\n99870 100000\n50405 75673\n82999 100000\n13712 20655\n58406 87626\n84330 100000\n48681 73086\n7886 11853\n73253 100000\n17280 26055\n70394 100000\n15608 23520\n39877 59986\n13734 20690\n73351 100000\n75241 100000\n86556 100000\n77166 100000\n65522 98286\n75825 100000\n97616 100000\n37160 55915\n78414 100000\n72105 100000\n4690 7041\n5904 8871\n31046 46755\n29892 45029\n20105 30319\n90526 100000\n60120 90197\n95816 100000\n80204 100000\n34582 52012\n15013 22626\n66309 99494\n56289 84426\n1499 2293\n76012 100000\n40651 61135\n35998 54142\n3391 5125\n48454 72752\n24609 37092\n93775 100000\n20682 31191\n91838 100000\n8903 13396\n42882 64448\n99779 100000\n78115 100000\n29214 44014\n29827 44928\n5003 7512\n31189 46975\n62105 93143\n35859 53936\n59224 88860\n6455 9701\n44860 67395\n95973 100000\n82996 100000\n47185 70850\n36819 55402\n19471 29350\n88995 100000\n93296 100000\n89354 100000\n91078 100000\n26348 39684\n91310 100000\n75257 100000\n30154 45425\n98952 100000\n22961 34615\n81186 100000\n19237 28982\n29919 45067\n39924 60059\n23545 35503\n93152 100000\n30620 46119\n20644 31133\n36534 54963\n77747 100000\n85788 100000\n43112 64798\n31875 48006\n78849 100000\n82105 100000\n83834 100000\n61469 92185\n23052 34752\n83077 100000\n47200 70870\n88169 100000\n57112 85654\n22254 33552\n50877 76376\n93641 100000\n56740 85113\n20702 31220\n52266 78438\n21621 32593\n99016 100000\n18814 28340\n1677 2552\n85936 100000\n67862 100000\n10819 16283\n8341 12542\n55981 83985\n68675 100000\n71628 100000\n32070 48289\n19378 29207\n93183 100000\n97699 100000\n16423 24752\n92285 100000\n29241 44053\n62944 94406\n70152 100000\n93809 100000\n90305 100000\n12794 19268\n4751 7135\n4128 6195\n44810 67317\n44858 67391\n65995 99008\n65063 97588\n7102 10665\n43890 65963\n79219 100000\n1107 1693\n34284 51567\n94616 100000\n17928 27018\n165 249\n74372 100000\n78781 100000\n48964 73507\n94705 100000\n22680 34197\n89234 100000\n44078 66234\n14178 21368\n35507 53406\n67740 100000\n63010 94508\n8422 12665\n27236 41013\n19448 29318\n38210 57488\n75403 100000\n64223 96334\n50637 76014\n86417 100000\n24779 37343\n61807 92696\n2717 4111\n6212 9337\n20886 31490\n83364 100000\n46220 69429\n81870 100000\n42102 63293\n76362 100000\n52083 78170\n29939 45097\n61711 92551\n23731 35776\n92448 100000\n82477 100000\n89769 100000\n65676 98515\n92107 100000\n43874 65938\n47133 70783\n49097 73703\n4848 7284\n160 241\n78737 100000\n4838 7267\n46554 69923\n18068 27223\n3435 5191\n17236 25990\n22415 33797\n54876 82326\n287 440\n7075 10625\n18670 28128\n65102 97646\n87990 100000\n42446 63793\n96483 100000\n19604 29555\n11485 17305\n7165 10758\n29004 43698\n64752 97126\n4205 6314\n74203 100000\n65187 97772\n82315 100000\n43550 65453\n50826 76299\n98900 100000\n32053 48265\n31731 47795\n35866 53945\n778 1199\n84851 100000\n76204 100000\n44865 67402\n6475 9734\n84023 100000\n73333 100000\n96462 100000\n96668 100000\n52762 79163\n29482 44403\n37712 56742\n2450 3701\n28912 43567\n54090 81168\n1441 2205\n80552 100000\n96787 100000\n18168 27369\n90965 100000\n83283 100000\n26372 39720\n69043 100000\n9389 14124\n7021 10536\n60882 91329\n93244 100000\n24265 36592\n93237 100000\n84787 100000\n91055 100000\n46617 70017\n11561 17422\n96843 100000\n58012 87029\n36731 55269\n6913 10383\n72934 100000\n61291 91933\n69477 100000\n18108 27284\n57092 85624\n45760 68750\n44640 67059\n35086 52776\n65153 97722\n40576 61024\n39966 60121\n53059 79612\n14338 21607\n80048 100000\n87484 100000\n5606 8416\n76976 100000\n59167 88771\n99637 100000\n52775 79181\n81998 100000\n31461 47374\n23677 35698\n90766 100000\n75001 100000\n8780 13213\n97615 100000\n54713 82088\n21031 31702\n85364 100000\n37815 56891\n64593 96879\n35106 52807\n7871 11832\n82170 100000\n21980 33133\n15350 23122\n12862 19364\n70708 100000\n64958 97434\n37504 56428\n16813 25344\n40086 60296\n69307 100000\n78285 100000\n73573 100000\n4039 6067\n204 313\n17052 25709\n56735 85105\n58082 87137\n42216 63464\n21134 31852\n23468 35391\n3005 4542\n91572 100000\n21404 32253\n32300 48639\n93213 100000\n60010 90039\n67881 100000\n17057 25715\n80989 100000\n40807 61363\n94909 100000\n58521 87799\n56617 84929\n43395 65229\n36958 55612\n35720 53728\n16022 24144\n53539 80329\n74880 100000\n88644 100000\n1317 2008\n16596 25016\n12941 19480\n63029 94535\n3942 5924\n61556 92315\n4743 7123\n72987 100000\n17850 26900\n4691 7043\n92799 100000\n30247 45558\n7937 11931\n32517 48968\n80720 100000\n28789 43385\n31117 46865\n89365 100000\n47847 71851\n45138 67810\n78456 100000\n17299 26084\n91702 100000\n35775 53811\n12984 19546\n29522 44463\n11373 17132\n76213 100000\n95940 100000\n88529 100000\n90679 100000\n48504 72824\n30493 45933\n43520 65404\n48719 73148\n84979 100000\n73665 100000\n56897 85342\n35785 53825\n20922 31545\n74124 100000\n50734 76162\n27191 40947\n81847 100000\n97256 100000\n4162 6246\n51975 78017\n69765 100000\n1007 1536\n73298 100000\n41314 62116\n13671 20595\n1550 2360\n56115 84175\n58113 87182\n68277 100000\n48233 72431\n83780 100000\n60714 91080\n10361 15594\n94202 100000\n65098 97641\n30267 45589\n89553 100000\n96350 100000\n67891 100000\n17251 26015\n61629 92422\n68019 100000\n31644 47665\n36062 54239\n95590 100000\n88508 100000\n28963 43640\n63473 95199\n97556 100000\n44675 67112\n26363 39705\n64581 96862\n89148 100000\n97334 100000\n84125 100000\n1846 2811\n99125 100000\n25240 38031\n50035 75096\n25969 39114\n96966 100000\n46569 69948\n6055 9107\n13179 19847\n21814 32886\n84708 100000\n39756 59810\n28160 42416\n93306 100000\n93991 100000\n7905 11882\n58110 87177\n18485 27849\n67504 100000\n67988 100000\n78300 100000\n85460 100000\n84427 100000\n91461 100000\n60496 90760\n27369 41220\n17765 26772\n66894 100000\n99927 100000\n63253 94867\n40461 60852\n92347 100000\n45941 69015\n44163 66350\n70618 100000\n11833 17830\n36200 54444\n4117 6179\n78478 100000\n20874 31475\n23502 35445\n2183 3308\n96817 100000\n33201 49968\n39678 59684\n81668 100000\n47925 71967\n55365 83052\n85491 100000\n23436 35344\n12497 18829\n59912 89894\n23673 35692\n88431 100000\n48032 72127\n72596 100000\n1697 2584\n85053 100000\n26728 40254\n51041 76624\n21979 33132\n23253 35048\n73316 100000\n16892 25465\n65241 97847\n12701 19136\n1008 1537\n14122 21283\n53094 79669\n56921 85380\n75275 100000\n30317 45666\n79295 100000\n81591 100000\n32655 49164\n78721 100000\n81123 100000\n97207 100000\n33186 49945\n24560 37025\n74160 100000\n32188 48466\n52399 78636\n25380 38237\n23626 35617\n81441 100000\n97114 100000\n55467 83207\n33740 50764\n94916 100000\n57385 86082\n89456 100000\n87353 100000\n90980 100000\n66595 99920\n83080 100000\n52225 78374\n13178 19846\n15859 23909\n40067 60269\n94452 100000\n75058 100000\n24456 36877\n28462 42881\n54424 81658\n60918 91383\n68679 100000\n88809 100000\n30837 46449\n84156 100000\n5389 8095\n34291 51578\n8937 13448\n74190 100000\n96685 100000\n2892 4369\n22634 34130\n28327 42677\n40967 61599\n39045 58729\n67866 100000\n6091 9162\n1590 2425\n89167 100000\n88395 100000\n856 1315\n48152 72312\n26111 39332\n2400 3628\n49818 74778\n57715 86583\n49777 74721\n94797 100000\n73338 100000\n66721 100000\n34487 51872\n87093 100000\n5539 8316\n36133 54343\n52517 78805\n69738 100000\n34293 51582\n60505 90772\n81106 100000\n55796 83702\n34883 52472\n61194 91783\n49033 73611\n76479 100000\n65653 98480\n38413 57795\n75059 100000\n4765 7156\n52303 78498\n67755 100000\n89445 100000\n80086 100000\n63871 95797\n73688 100000\n41309 62110\n67231 100000\n32625 49122\n28578 43062\n29083 43819\n11571 17436\n5886 8843\n17844 26888\n94986 100000\n36628 55110\n94062 100000\n31769 47848\n85557 100000\n24009 36195\n46624 70028\n51564 77409\n68389 100000\n44330 66596\n78248 100000\n44872 67414\n18575 27986\n20919 31540\n99588 100000\n97024 100000\n57184 85761\n75893 100000\n77475 100000\n96919 100000\n90215 100000\n82597 100000\n89788 100000\n52520 78810\n50642 76020\n48336 72581\n97824 100000\n30765 46344\n38403 57780\n5211 7818\n15644 23576\n48320 72559\n60378 90578\n19287 29062\n25378 38234\n86459 100000\n47592 71459\n73543 100000\n36223 54480\n41583 62510\n86022 100000\n95691 100000\n55193 82797\n15145 22819\n66120 99200\n24422 36831\n16157 24350\n17227 25976\n98956 100000\n50034 75095\n50709 76123\n89115 100000\n65923 98900\n68617 100000\n91774 100000\n71498 100000\n76964 100000\n53894 80872\n23521 35471\n53533 80318\n30668 46193\n25315 38141\n85486 100000\n19524 29428\n53422 80149\n83284 100000\n99978 100000\n8066 12131\n64441 96643\n10724 16139\n63765 95641\n75737 100000\n28833 43454\n67837 100000\n25737 38769\n14831 22358\n60851 91286\n1488 2280\n65853 98790\n39124 58851\n70887 100000\n50344 75578\n92012 100000\n18987 28594\n68470 100000\n51799 77763\n89886 100000\n22713 34244\n4890 7351\n16152 24343\n12703 19139\n81378 100000\n82225 100000\n39606 59575\n21170 31904\n56029 84058\n38814 58379\n55943 83930\n26941 40568\n91729 100000\n14647 22078\n15878 23936\n16323 24608\n439 673\n48 77\n30300 45644\n71914 100000\n53935 80934\n22407 33786\n24738 37285\n29754 44815\n75327 100000\n24817 37396\n4037 6064\n75646 100000\n95222 100000\n41316 62120\n21445 32317\n95831 100000\n83316 100000\n22045 33229\n23149 34888\n52958 79460\n78195 100000\n54096 81177\n39893 60013\n10078 15175\n28521 42966\n87903 100000\n8202 12336\n46357 69629\n67856 100000\n22882 34496\n4877 7328\n92296 100000\n24925 37557\n63655 95467\n18962 28559\n94858 100000\n33937 51053\n21450 32325\n38641 58129\n81033 100000\n45632 68559\n10965 16499\n77375 100000\n41024 61687\n79104 100000\n27616 41595\n83300 100000\n27025 40697\n85197 100000\n18818 28345\n10322 15539\n81918 100000\n56266 84388\n2373 3593\n18587 28005\n27338 41172\n96092 100000\n30314 45663\n8051 12106\n70645 100000\n18953 28545\n42935 64530\n28200 42480\n78176 100000\n70007 100000\n52972 79477\n87303 100000\n79440 100000\n58957 88455\n99506 100000\n61801 92689\n50517 75836\n88839 100000\n10476 15765\n83726 100000\n14288 21540\n49859 74842\n50876 76374\n62356 93534\n77537 100000\n26263 39559\n33732 50751\n25939 39071\n22063 33259\n53545 80337\n37045 55743\n30268 45591\n72572 100000\n27377 41234\n2382 3604\n10294 15499\n28157 42412\n25331 38168\n61048 91570\n91507 100000\n15165 22848\n62681 94016\n37285 56089\n70598 100000\n48901 73418\n30632 46135\n67445 100000\n91815 100000\n81361 100000\n21163 31895\n94075 100000\n98154 100000\n12479 18802\n68184 100000\n65671 98508\n10398 15653\n67527 100000\n10527 15839\n8037 12085\n84234 100000\n12523 18866\n59716 89599\n47593 71461\n84632 100000\n31901 48046\n40813 61371\n60049 90094\n3462 5230\n47663 71567\n49515 74337\n21714 32737\n38806 58368\n28286 42615\n78999 100000\n71922 100000\n27201 40962\n80894 100000\n85217 100000\n77723 100000\n58861 88310\n32934 49582\n87681 100000\n26460 39850\n6107 9182\n65136 97698\n89820 100000\n87293 100000\n75668 100000\n60536 90813\n90044 100000\n26066 39258\n54099 81181\n40829 61395\n34068 51255\n46799 70280\n33461 50351\n54349 81545\n37816 56892\n76932 100000\n89717 100000\n94934 100000\n17427 26271\n80294 100000\n51475 77274\n50466 75763\n44930 67501\n56675 85014\n32917 49556\n13094 19718\n67639 100000\n79975 100000\n70977 100000\n3869 5817\n71793 100000\n17585 26497\n11048 16624\n79212 100000\n51646 77534\n39096 58807\n80571 100000\n6085 9153\n42696 64168\n21381 32222\n27641 41634\n88518 100000\n24697 37222\n85546 100000\n74823 100000\n95537 100000\n33731 50750\n58258 87394\n13078 19695\n10806 16262\n79717 100000\n72533 100000\n97761 100000\n70412 100000\n67915 100000\n60913 91375\n54125 81220\n14747 22234\n61326 91977\n10882 16377\n17779 26791\n35050 52725\n97392 100000\n61729 92580\n74153 100000\n5545 8325\n57156 85718\n21994 33150\n4217 6332\n47728 71664\n86797 100000\n40093 60304\n70733 100000\n96021 100000\n69541 100000\n24228 36535\n63273 94898\n10652 16026\n92324 100000\n65847 98781\n70745 100000\n71409 100000\n7599 11419\n11867 17883\n22085 33292\n24627 37118\n89078 100000\n84343 100000\n85627 100000\n66508 99790\n26042 39225\n27189 40944\n229 351\n99203 100000\n70199 100000\n97226 100000\n82329 100000\n57813 86722\n98995 100000\n69930 100000\n91479 100000\n96323 100000\n18707 28181\n91176 100000\n19797 29848\n12911 19435\n72943 100000\n77501 100000\n31406 47294\n95747 100000\n65917 98889\n20519 30948\n58495 87760\n6694 10058\n96900 100000\n44920 67486\n62928 94380\n5736 8616\n33539 50461\n18504 27877\n44196 66400\n33704 50713\n41293 62086\n44390 66688\n17777 26788\n59621 89452\n70718 100000\n59076 88636\n65858 98797\n64212 96316\n36208 54455\n97759 100000\n93702 100000\n47714 71642\n81107 100000\n88749 100000\n23125 34852\n91689 100000\n14186 21380\n27469 41369\n52069 78151\n84711 100000\n4055 6091\n53345 80029\n47680 71590\n31613 47622\n46982 70552\n67505 100000\n71739 100000\n7278 10931\n14441 21775\n14606 22017\n29844 44951\n5458 8196\n78003 100000\n35031 52696\n48635 73012\n29433 44331\n9530 14348\n66957 100000\n24932 37568\n10789 16237\n31085 46818\n84761 100000\n27405 41277\n87973 100000\n38757 58298\n69885 100000\n30850 46466\n93307 100000\n78123 100000\n44445 66767\n93771 100000\n4300 6463\n32068 48286\n13111 19744\n78036 100000\n47379 71143\n10505 15810\n74061 100000\n24838 37428\n93934 100000\n65552 98330\n11015 16574\n26187 39443\n8493 12772\n20193 30450\n99430 100000\n80161 100000\n8549 12860\n73904 100000\n60286 90444\n88983 100000\n30582 46067\n20008 30175\n25364 38216\n96370 100000\n59155 88754\n78242 100000\n38998 58660\n78185 100000\n53559 80356\n67217 100000\n21946 33082\n24973 37634\n21149 31875\n41836 62894\n20777 31328\n72398 100000\n48158 72323\n18047 27189\n2703 4090\n72163 100000\n75898 100000\n97362 100000\n3492 5279\n74184 100000\n82874 100000\n38910 58527\n32163 48429\n47273 70983\n15969 24065\n62361 93542\n80829 100000\n66638 99988\n77163 100000\n77576 100000\n57491 86241\n70513 100000\n1714 2612\n65205 97801\n42302 63582\n61339 91995\n30749 46317\n33008 49685\n47416 71198\n29013 43714\n69481 100000\n61085 91625\n37768 56828\n30451 45869\n43453 65311\n13466 20286\n93471 100000\n82319 100000\n24497 36941\n87649 100000\n92727 100000\n33623 50586\n31920 48071\n54907 82369\n79304 100000\n90512 100000\n28840 43465\n88826 100000\n64232 96346\n87695 100000\n44642 67062\n68303 100000\n62112 93154\n98214 100000\n17780 26792\n25368 38221\n73821 100000\n10211 15369\n40941 61561\n87843 100000\n67928 100000\n58680 88038\n5178 7771\n55686 83536\n72330 100000\n94150 100000\n74799 100000\n60406 90619\n59739 89632\n96958 100000\n22573 34031\n9849 14825\n16710 25185\n19951 30093\n66115 99191\n54748 82141\n38394 57766\n8717 13119\n68332 100000\n34059 51240\n17878 26944\n5066 7610\n24887 37502\n66962 100000\n70601 100000\n232 356\n452 696\n47274 70985\n6562 9861\n62651 93969\n82196 100000\n93868 100000\n78503 100000\n61392 92074\n91478 100000\n99141 100000\n97975 100000\n21315 32120\n78026 100000\n33428 50303\n65569 98357\n19842 29917\n50556 75894\n97199 100000\n95121 100000\n95749 100000\n77686 100000\n21071 31762\n64009 96007\n46028 69143\n87968 100000\n15340 23108\n63430 95135\n26097 39309\n72804 100000\n19053 28697\n80390 100000\n38613 58086\n98314 100000\n96613 100000\n32109 48346\n25108 37836\n78087 100000\n22193 33463\n75851 100000\n95017 100000\n53645 80486\n4440 6675\n46391 69683\n8888 13374\n87258 100000\n1708 2603\n97295 100000\n97687 100000\n65423 98135\n8342 12543\n77433 100000\n44951 67535\n75765 100000\n35988 54127\n27 42\n96687 100000\n28503 42941\n23745 35794\n46702 70135\n21775 32830\n57775 86670\n18971 28571\n55309 82977\n7111 10678\n47140 70791\n32611 49103\n41553 62467\n26417 39786\n35104 52804\n1105 1690\n5803 8720\n15425 23230\n36106 54301\n32513 48962\n53630 80463\n19855 29936\n70452 100000\n62450 93677\n28613 43114\n38020 57205\n73911 100000\n22264 33569\n61378 92055\n89446 100000\n26699 40208\n48214 72406\n14889 22443\n51202 76870\n53856 80811\n51747 77689\n18911 28482\n74943 100000\n79268 100000\n18682 28147\n81048 100000\n31419 47314\n10779 16223\n57179 85754\n28063 42266\n42469 63827\n73524 100000\n88896 100000\n20729 31257\n91728 100000\n60725 91095\n85722 100000\n28138 42382\n96673 100000\n92358 100000\n11654 17560\n79359 100000\n20002 30166\n58042 87073\n42210 63455\n49520 74346\n11801 17781\n85856 100000\n72429 100000\n53608 80430\n11360 17111\n47380 71144\n59204 88830\n37142 55887\n59270 88926\n81553 100000\n86405 100000\n66632 99980\n71699 100000\n76783 100000\n15794 23811\n69819 100000\n87362 100000\n82211 100000\n96662 100000\n22419 33802\n36928 55571\n51907 77923\n59430 89170\n29606 44588\n91100 100000\n42515 63900\n94361 100000\n38374 57736\n26741 40273\n61192 91780\n6529 9813\n98391 100000\n79090 100000\n78405 100000\n98437 100000\n14636 22063\n71209 100000\n47865 71875\n86936 100000\n88779 100000\n57259 85874\n62240 93363\n96567 100000\n70705 100000\n84196 100000\n38178 57442\n73284 100000\n60835 91262\n28516 42960\n56311 84464\n68331 100000\n8132 12231\n5827 8756\n89958 100000\n79230 100000\n7221 10843\n54962 82452\n38928 58555\n73666 100000\n92460 100000\n37181 55942\n32006 48192\n954 1460\n9307 14006\n73781 100000\n19211 28944\n23937 36082\n14555 21939\n61131 91691\n37282 56084\n68058 100000\n950 1452\n94848 100000\n66588 99909\n15601 23509\n76035 100000\n30024 45226\n52594 78920\n5268 7910\n30006 45200\n68048 100000\n99606 100000\n19312 29105\n99833 100000\n97637 100000\n71187 100000\n38159 57409\n24831 37420\n724 1114\n51419 77187\n14478 21826\n73485 100000\n53681 80541\n70135 100000\n82527 100000\n7335 11020\n14671 22116\n8477 12746\n45677 68629\n87742 100000\n83546 100000\n27526 41457\n37753 56803\n73362 100000\n2754 4167\n58925 88407\n53316 79984\n71314 100000\n31092 46829\n56909 85360\n79887 100000\n7655 11504\n79082 100000\n43788 65812\n21114 31824\n53308 79975\n53751 80653\n39641 59630\n54763 82167\n20366 30708\n76757 100000\n95272 100000\n64578 96858\n34672 52150\n91720 100000\n30169 45447\n64955 97431\n76231 100000\n46631 70038\n24285 36623\n42076 63251\n60637 90965\n77173 100000\n17648 26587\n25005 37682\n59934 89925\n65357 98030\n93109 100000\n15492 23338\n40988 61633\n13752 20718\n1605 2446\n11421 17210\n61115 91665\n9478 14261\n79161 100000\n82518 100000\n19454 29326\n8598 12940\n14099 21252\n55546 83328\n15935 24017\n17795 26814\n48737 73176\n31705 47757\n33665 50647\n16816 25350\n45044 67671\n28630 43139\n96170 100000\n7664 11517\n33259 50058\n79153 100000\n22255 33554\n83537 100000\n95169 100000\n17935 27028\n94117 100000\n37833 56920\n53146 79741\n14745 22230\n26754 40296\n63418 95119\n91836 100000\n25311 38134\n90219 100000\n38878 58479\n53172 79780\n64815 97218\n68995 100000\n96430 100000\n36132 54342\n3342 5054\n76038 100000\n65044 97561\n61634 92431\n94965 100000\n59004 88531\n74204 100000\n62433 93653\n17298 26083\n96845 100000\n61750 92610\n44561 66942\n98517 100000\n71543 100000\n13812 20806\n25410 38285\n55119 82688\n74087 100000\n42000 63145\n10730 16148\n72632 100000\n62559 93833\n1750 2662\n66596 99921\n20606 31078\n64156 96232\n81603 100000\n39562 59506\n15277 23020\n65296 97934\n39722 59756\n1878 2862\n35545 53462\n62834 94239\n69404 100000\n49173 73822\n78515 100000\n39561 59504\n59363 89080\n5854 8793\n18629 28067\n70805 100000\n40047 60238\n70270 100000\n93767 100000\n3640 5485\n34825 52377\n85811 100000\n26532 39955\n24613 37098\n76046 100000\n11388 17156\n32880 49503\n2563 3881\n48274 72492\n89552 100000\n5927 8906\n1786 2718\n44764 67248\n88090 100000\n26310 39625\n11638 17535\n26134 39366\n87635 100000\n87062 100000\n50152 75281\n49295 74006\n24853 37451\n47073 70687\n3295 4978\n31260 47076\n97231 100000\n17302 26089\n15630 23553\n41020 61680\n20531 30965\n60489 90748\n19348 29161\n84175 100000\n61728 92578\n30950 46622\n60307 90475\n43095 64770\n90352 100000\n10885 16381\n15473 23309\n47050 70649\n63171 94748\n4048 6079\n52990 79502\n53896 80876\n88358 100000\n41389 62222\n78302 100000\n51986 78034\n29904 45046\n39282 59084\n78499 100000\n96522 100000\n69561 100000\n65470 98204\n19105 28778\n74029 100000\n70766 100000\n49134 73764\n34366 51692\n68356 100000\n16998 25623\n75579 100000\n22398 33774\n56981 85465\n61411 92105\n26953 40588\n15030 22650\n15269 23008\n36626 55106\n31509 47453\n58476 87731\n16383 24692\n90751 100000\n20958 31594\n84603 100000\n92823 100000\n51774 77725\n67897 100000\n86439 100000\n66227 99363\n93857 100000\n49969 74998\n68832 100000\n22075 33276\n80068 100000\n20981 31628\n31027 46725\n11562 17424\n95223 100000\n98498 100000\n97594 100000\n80950 100000\n67417 100000\n12932 19466\n6885 10342\n30625 46125\n90994 100000\n44836 67355\n5381 8082\n62888 94321\n11870 17888\n66432 99680\n84558 100000\n77441 100000\n2562 3879\n88745 100000\n75024 100000\n6024 9058\n7630 11469\n80491 100000\n24441 36856\n15815 23844\n91399 100000\n43931 66024\n85137 100000\n34819 52369\n7384 11094\n9484 14272\n95729 100000\n9062 13636\n4957 7445\n26206 39471\n56326 84485\n5707 8570\n37961 57121\n95359 100000\n24396 36791\n98221 100000\n42197 63434\n6021 9053\n97650 100000\n75912 100000\n11203 16862\n79035 100000\n78529 100000\n17138 25844\n26401 39763\n72043 100000\n71226 100000\n25989 39142\n73860 100000\n66069 99120\n93597 100000\n59511 89286\n19509 29407\n8323 12516\n35671 53656\n93387 100000\n80759 100000\n16259 24510\n42567 63981\n91562 100000\n38308 57636\n55445 83172\n18598 28020\n66771 100000\n30311 45660\n49828 74794\n44191 66391\n36300 54595\n68992 100000\n98365 100000\n53324 79995\n37185 55948\n76267 100000\n85231 100000\n43500 65378\n28504 42942\n7368 11067\n33747 50775\n91574 100000\n80650 100000\n46782 70252\n67426 100000\n35623 53587\n1032 1574\n16734 25216\n89022 100000\n39013 58683\n86264 100000\n14559 21945\n74817 100000\n79623 100000\n84988 100000\n60888 91338\n36033 54194\n39543 59476\n59065 88617\n64361 96525\n21246 32014\n14710 22181\n36074 54258\n20022 30194\n21616 32586\n25919 39042\n87821 100000\n76126 100000\n20518 30946\n32060 48273\n28483 42910\n52964 79466\n96995 100000\n98841 100000\n56282 84416\n81343 100000\n34862 52437\n85836 100000\n231 354\n82172 100000\n49439 74225\n55980 83983\n98442 100000\n87537 100000\n95945 100000\n11235 16911\n7525 11307\n32461 48883\n48592 72949\n52894 79358\n40600 61059\n8285 12456\n95892 100000\n24110 36349\n11199 16855\n87939 100000\n69712 100000\n77690 100000\n99757 100000\n94822 100000\n1062 1621\n53797 80721\n43475 65344\n41567 62489\n64407 96594\n94957 100000\n2267 3434\n15268 23006\n60541 90819\n12156 18311\n47819 71810\n53029 79561\n79074 100000\n68863 100000\n90328 100000\n76791 100000\n71852 100000\n60134 90217\n65080 97613\n99142 100000\n64978 97462\n56759 85138\n63896 95836\n5002 7510\n53825 80763\n93930 100000\n29989 45172\n45194 67894\n95798 100000\n15133 22805\n20178 30429\n39941 60081\n89013 100000\n79593 100000\n30721 46271\n9638 14510\n39726 59763\n91182 100000\n8166 12282\n57497 86250\n44734 67202\n85292 100000\n88700 100000\n63388 95075\n28280 42604\n37697 56715\n66992 100000\n64760 97139\n77194 100000\n48947 73483\n19343 29153\n22126 33359\n23053 34753\n99754 100000\n79245 100000\n11536 17383\n15033 22653\n89121 100000\n50439 75724\n29072 43801\n95852 100000\n8196 12326\n93788 100000\n17644 26582\n19699 29698\n80480 100000\n12528 18875\n12668 19087\n46695 70127\n79378 100000\n32383 48764\n18256 27501\n21853 32942\n38260 57568\n69581 100000\n46682 70111\n62479 93719\n44548 66922\n99935 100000\n86268 100000\n35618 53577\n35948 54065\n40926 61538\n76533 100000\n18267 27521\n7454 11201\n32522 48975\n73772 100000\n66977 100000\n99591 100000\n35596 53543\n70783 100000\n52733 79114\n56235 84346\n77203 100000\n3532 5335\n1457 2229\n49001 73560\n70999 100000\n78168 100000\n50023 75079\n19504 29399\n26694 40201\n99301 100000\n2313 3504\n13797 20784\n15024 22640\n78024 100000\n73151 100000\n20955 31590\n6798 10215\n9155 13773\n76790 100000\n72710 100000\n78390 100000\n61404 92093\n59898 89875\n31358 47218\n26840 40420\n2816 4258\n20762 31305\n31041 46748\n53283 79938\n44811 67318\n28986 43674\n41430 62281\n3504 5296\n84780 100000\n98710 100000\n29337 44202\n76385 100000\n42989 64614\n60960 91442\n92467 100000\n59398 89128\n84350 100000\n86547 100000\n24278 36612\n42767 64276\n362 557\n28466 42888\n95901 100000\n57867 86806\n31373 47244\n60130 90211\n33402 50264\n310 476\n12781 19249\n31440 47344\n6782 10195\n41994 63138\n17888 26959\n5197 7798\n55136 82714\n54824 82256\n93637 100000\n79695 100000\n94877 100000\n32152 48411\n28824 43439\n35540 53456\n2482 3753\n35967 54097\n43057 64710\n3929 5902\n7541 11333\n71384 100000\n49512 74334\n71735 100000\n81050 100000\n90944 100000\n2 4\n82512 100000\n58835 88275\n85016 100000\n73885 100000\n97359 100000\n28846 43474\n35022 52682\n48378 72641\n69275 100000\n68660 100000\n78131 100000\n37343 56180\n19932 30062\n36457 54843\n57595 86402\n48588 72943\n67961 100000\n73571 100000\n59036 88573\n70879 100000\n46255 69480\n71882 100000\n13900 20943\n75603 100000\n39131 58862\n81446 100000\n82424 100000\n55281 82930\n80570 100000\n50609 75974\n38330 57670\n97020 100000\n30068 45296\n45261 67990\n92671 100000\n45519 68377\n83512 100000\n62363 93545\n94057 100000\n98316 100000\n78534 100000\n34768 52293\n84254 100000\n39014 58685\n44299 66551\n40482 60881\n73070 100000\n52944 79435\n57720 86589\n10230 15397\n33366 50210\n47653 71551\n23204 34976\n87349 100000\n82500 100000\n98449 100000\n63914 95861\n12199 18374\n15047 22672\n75389 100000\n95986 100000\n71771 100000\n76799 100000\n27929 42069\n65578 98371\n99281 100000\n5453 8188\n57338 86007\n92078 100000\n89783 100000\n4725 7097\n14834 22363\n51871 77868\n18318 27600\n54120 81213\n30329 45683\n64789 97182\n91462 100000\n1081 1653\n27014 40681\n66134 99222\n27802 41877\n86886 100000\n95472 100000\n46203 69406\n17744 26739\n41756 62769\n21932 33060\n40459 60850\n48349 72599\n68913 100000\n31432 47334\n50297 75505\n94541 100000\n3881 5837\n97968 100000\n8155 12265\n23642 35645\n44250 66480\n46471 69801\n36680 55191\n5596 8403\n4614 6933\n58903 88372\n73328 100000\n69117 100000\n94681 100000\n79663 100000\n63870 95795\n44580 66970\n55379 83072\n59968 89974\n37382 56243\n86624 100000\n19335 29142\n37795 56865\n80236 100000\n41691 62678\n13321 20059\n89731 100000\n7303 10968\n22120 33350\n51977 78020\n26338 39669\n68702 100000\n96358 100000\n39161 58907\n96329 100000\n42252 63514\n85494 100000\n64425 96622\n22072 33273\n15484 23326\n31507 47450\n82961 100000\n60250 90391\n72756 100000\n39170 58922\n7963 11968\n87266 100000\n56702 85058\n30951 46623\n10447 15723\n1615 2459\n71285 100000\n50872 76369\n96825 100000\n89366 100000\n78305 100000\n15168 22853\n43236 64983\n15688 23642\n63046 94563\n18985 28591\n77888 100000\n99377 100000\n72473 100000\n33270 50073\n42220 63470\n53002 79522\n91090 100000\n28095 42316\n80257 100000\n28540 43000\n79816 100000\n45321 68085\n43207 64940\n24777 37340\n70809 100000\n38705 58223\n44569 66956\n32777 49346\n68924 100000\n58256 87391\n81488 100000\n93548 100000\n35445 53312\n14280 21529\n29136 43895\n92662 100000\n74374 100000\n83701 100000\n22110 33335\n1023 1560\n81270 100000\n16110 24280\n24126 36374\n11056 16636\n8762 13186\n20474 30877\n17518 26402\n45207 67914\n8262 12422\n46995 70572\n29811 44904\n99426 100000\n20169 30419\n76160 100000\n16511 24885\n14105 21262\n13420 20211\n28017 42196\n9387 14120\n59318 89006\n63578 95352\n29777 44854\n12041 18141\n87738 100000\n52454 78715\n76179 100000\n80315 100000\n33223 49999\n11031 16597\n4714 7080\n51072 76669\n60948 91427\n61682 92507\n66914 100000\n65214 97814\n33214 49986\n58134 87214\n59550 89343\n16137 24321\n75965 100000\n9085 13668\n20640 31127\n90457 100000\n12715 19158\n44139 66317\n40242 60523\n79122 100000\n35490 53382\n39523 59445\n23875 35988\n65606 98414\n4875 7324\n49028 73603\n65889 98847\n86394 100000\n72995 100000\n47078 70697\n2468 3729\n64082 96127\n65317 97966\n11703 17638\n48557 72899\n3909 5875\n45870 68907\n64445 96648\n34690 52178\n42331 63620\n71843 100000\n60217 90341\n8489 12766\n21447 32320\n67720 100000\n19300 29085\n96278 100000\n40945 61565\n25709 38729\n97727 100000\n63558 95323\n11938 17990\n88230 100000\n49803 74758\n99496 100000\n76862 100000\n3038 4590\n43161 64868\n25174 37935\n16206 24430\n75049 100000\n64866 97296\n43284 65059\n20718 31244\n78533 100000\n48502 72822\n48759 73210\n50491 75798\n10735 16157\n58518 87796\n69902 100000\n37426 56313\n15919 23995\n65042 97558\n90388 100000\n6238 9375\n12014 18104\n52131 78241\n3302 4988\n10027 15097\n61754 92618\n79916 100000\n54386 81599\n28155 42409\n54814 82241\n79040 100000\n3776 5686\n12153 18305\n3029 4577\n87544 100000\n11104 16711\n44706 67158\n3882 5839\n29374 44251\n10018 15084\n73262 100000\n39400 59264\n34197 51431\n87801 100000\n90513 100000\n18690 28159\n85678 100000\n79303 100000\n75454 100000\n92775 100000\n78186 100000\n99639 100000\n83922 100000\n56824 85231\n65677 98517\n11588 17464\n41512 62408\n17405 26239\n15539 23413\n61497 92227\n18420 27740\n55148 82730\n25172 37933\n38114 57346\n43945 66045\n98987 100000\n11250 16935\n72660 100000\n61583 92353\n28983 43671\n57165 85733\n48296 72520\n48564 72907\n28081 42294\n77668 100000\n96910 100000\n23772 35833\n52777 79185\n18397 27707\n40107 60326\n42770 64279\n474 725\n56568 84858\n8670 13050\n51940 77970\n62821 94220\n22893 34515\n21070 31760\n77877 100000\n94706 100000\n53821 80757\n42730 64219\n17361 26172\n43010 64642\n8804 13251\n53580 80388\n57347 86020\n53051 79598\n90901 100000\n54405 81630\n33712 50724\n12841 19334\n42078 63254\n23329 35173\n88654 100000\n34743 52253\n71980 100000\n67651 100000\n26943 40571\n84146 100000\n34196 51430\n18280 27539\n68376 100000\n85816 100000\n41641 62600\n82991 100000\n88801 100000\n17300 26086\n29773 44848\n81158 100000\n8001 12029\n8313 12499\n10097 15201\n87089 100000\n18055 27203\n33893 50989\n24380 36766\n74127 100000\n86079 100000\n78593 100000\n3866 5812\n84980 100000\n88213 100000\n56562 84850\n23077 34785\n91159 100000\n2211 3350\n51542 77376\n50934 76466\n58202 87313\n52868 79321\n20539 30978\n50549 75883\n24300 36645\n78568 100000\n15114 22779\n83425 100000\n35163 52897\n71659 100000\n47022 70610\n93348 100000\n66558 99863\n54953 82439\n79642 100000\n58313 87481\n10204 15358\n46637 70046\n63529 95281\n58349 87533\n37985 57158\n67406 100000\n4079 6126\n39484 59392\n34496 51885\n49121 73745\n32111 48348\n13256 19964\n20364 30705\n77123 100000\n99735 100000\n12472 18789\n90771 100000\n95030 100000\n69358 100000\n18787 28299\n47447 71244\n65903 98870\n62028 93029\n40552 60990\n64336 96492\n93040 100000\n4018 6035\n67135 100000\n91356 100000\n71534 100000\n63628 95430\n61628 92421\n29496 44422\n23709 35745\n19304 29091\n96896 100000\n7156 10743\n87959 100000\n79711 100000\n68436 100000\n85309 100000\n71295 100000\n67309 100000\n79745 100000\n44235 66461\n18203 27426\n65864 98806\n76195 100000\n41850 62918\n54098 81179\n86192 100000\n58762 88169\n77255 100000\n84043 100000\n64738 97104\n810 1247\n34519 51923\n91112 100000\n90499 100000\n2186 3312\n7055 10590\n23815 35897\n53385 80091\n5086 7638\n79389 100000\n93687 100000\n18106 27281\n88047 100000\n45304 68057\n90368 100000\n35497 53393\n57899 86857\n32076 48298\n13084 19705\n21601 32563\n9827 14789\n15545 23420\n71199 100000\n30378 45757\n39894 60014\n13296 20021\n84065 100000\n70259 100000\n85795 100000\n7751 11649\n90982 100000\n68524 100000\n95056 100000\n76867 100000\n49575 74419\n92718 100000\n20901 31514\n62344 93515\n3562 5376\n67511 100000\n52075 78159\n93368 100000\n90043 100000\n99233 100000\n64254 96377\n15089 22736\n54559 81855\n54255 81416\n72724 100000\n7677 11538\n39759 59814\n54922 82392\n70628 100000\n49164 73810\n78824 100000\n56183 84269\n16276 24534\n23147 34886\n82953 100000\n45316 68077\n64417 96607\n95834 100000\n61555 92313\n96886 100000\n21429 32290\n91592 100000\n89368 100000\n3737 5628\n81561 100000\n62763 94136\n4168 6256\n16103 24270\n29630 44624\n51951 77986\n83455 100000\n10146 15279\n85948 100000\n53564 80365\n41403 62242\n28611 43111\n26186 39441\n98198 100000\n67035 100000\n47617 71494\n18248 27490\n27531 41464\n90405 100000\n44716 67173\n50979 76530\n88032 100000\n70909 100000\n81177 100000\n26284 39588\n71142 100000\n22498 33921\n88468 100000\n39439 59320\n8068 12133\n54747 82139\n31442 47348\n53312 79979\n64607 96896\n71982 100000\n89240 100000\n78522 100000\n62261 93396\n63286 94919\n29393 44276\n47454 71252\n83861 100000\n66390 99616\n64665 96986\n50885 76388\n46707 70140\n73379 100000\n50346 75582\n84584 100000\n89064 100000\n19801 29854\n15946 24033\n18025 27155\n12946 19489\n52610 78943\n60028 90065\n84789 100000\n11984 18057\n20365 30706\n33670 50655\n34586 52019\n76911 100000\n3724 5607\n18897 28462\n44575 66964\n63349 95011\n54750 82145\n6868 10315\n1090 1667\n83457 100000\n51352 77087\n19698 29697\n84374 100000\n75764 100000\n37414 56293\n63611 95405\n81009 100000\n37063 55765\n67093 100000\n19078 28736\n42022 63174\n5438 8166\n54861 82307\n66602 99931\n61572 92337\n94250 100000\n42836 64377\n53902 80884\n60652 90986\n46202 69405\n59404 89137\n75439 100000\n36362 54695\n33915 51022\n17437 26285\n62769 94145\n33682 50677\n44521 66876\n9655 14535\n46697 70129\n90498 100000\n88840 100000\n53460 80204\n83373 100000\n31131 46887\n89447 100000\n39283 59086\n78782 100000\n47074 70689\n14881 22433\n96749 100000\n55584 83385\n6267 9422\n85441 100000\n24915 37543\n15052 22679\n98489 100000\n94022 100000\n7725 11611\n85388 100000\n86473 100000\n85266 100000\n69805 100000\n19553 29472\n21397 32243\n10630 15990\n62432 93651\n67618 100000\n71504 100000\n87328 100000\n45454 68281\n44023 66156\n77767 100000\n82638 100000\n92722 100000\n17144 25852\n432 663\n18879 28435\n34793 52328\n44604 67007\n34283 51565\n38179 57444\n79565 100000\n41413 62256\n29059 43784\n97850 100000\n32245 48554\n80060 100000\n17360 26170\n81060 100000\n16292 24560\n12704 19141\n87376 100000\n18836 28370\n69866 100000\n93263 100000\n64262 96388\n28344 42706\n87787 100000\n81389 100000\n22931 34570\n40515 60933\n71139 100000\n44866 67404\n97227 100000\n11365 17119\n4603 6918\n82984 100000\n25199 37969\n8447 12703\n12177 18342\n55872 83821\n69800 100000\n13975 21065\n93806 100000\n37613 56590\n8058 12117\n95394 100000\n83406 100000\n98236 100000\n62954 94422\n32051 48262\n92720 100000\n57033 85537\n74665 100000\n76244 100000\n25770 38820\n36030 54191\n82120 100000\n92036 100000\n83248 100000\n22515 33945\n18847 28386\n11968 18033\n97956 100000\n22146 33392\n10371 15612\n14516 21884\n39554 59493\n49224 73903\n71788 100000\n73119 100000\n93905 100000\n63441 95152\n81051 100000\n81855 100000\n42512 63894\n83260 100000\n87896 100000\n81396 100000\n14974 22570\n2809 4247\n49519 74344\n84866 100000\n12483 18808\n96515 100000\n49163 73808\n11935 17986\n20547 30992\n83004 100000\n19803 29857\n86588 100000\n89458 100000\n28439 42849\n16182 24393\n26602 40048\n68136 100000\n52560 78869\n35241 53014\n71652 100000\n60268 90417\n56728 85096\n61542 92294\n65074 97603\n6344 9536\n49463 74258\n79292 100000\n21399 32246\n97665 100000\n83398 100000\n95575 100000\n32890 49517\n78960 100000\n20216 30488\n92250 100000\n75273 100000\n47099 70731\n3888 5847\n71471 100000\n54645 81987\n76482 100000\n64433 96632\n19991 30149\n45980 69073\n66182 99294\n30301 45645\n1503 2299\n47721 71653\n3978 5975\n16038 24172\n27781 41845\n81897 100000\n67477 100000\n76572 100000\n87652 100000\n59014 88541\n43030 64672\n79410 100000\n98817 100000\n60625 90949\n10582 15919\n12361 18621\n71614 100000\n65528 98294\n62970 94445\n70055 100000\n3806 5731\n48778 73238\n5065 7609\n47806 71788\n19150 28847\n2660 4024\n10113 15226\n55053 82589\n78119 100000\n41117 61828\n48438 72726\n91723 100000\n46532 69887\n21341 32160\n77895 100000\n63052 94570\n7313 10983\n2080 3159\n29996 45184\n97823 100000\n18050 27193\n10087 15188\n4314 6484\n51553 77393\n32541 49003\n56229 84337\n39776 59837\n43193 64920\n62607 93906\n70383 100000\n29988 45170\n99117 100000\n96840 100000\n446 686\n46156 69336\n15486 23329\n50138 75261\n56582 84880\n19920 30043\n49868 74852\n20629 31109\n355 547\n62384 93578\n12164 18322\n41112 61820\n27343 41181\n391 603\n12915 19440\n94802 100000\n43672 65636\n32271 48593\n68655 100000\n55077 82624\n9904 14914\n76360 100000\n94760 100000\n50701 76107\n32122 48365\n81920 100000\n33221 49996\n90162 100000\n96518 100000\n18754 28254\n24551 37013\n1484 2274\n86989 100000\n14242 21467\n14008 21116\n35552 53475\n53362 80057\n96235 100000\n69281 100000\n97253 100000\n58517 87794\n6583 9892\n58656 88001\n20088 30295\n20931 31557\n24593 37069\n5370 8066\n30474 45905\n94646 100000\n42894 64464\n47020 70607\n18702 28175\n85680 100000\n17814 26842\n24757 37313\n42952 64557\n29449 44354\n5408 8119\n16432 24764\n35192 52944\n45721 68695\n68291 100000\n9809 14763\n70806 100000\n41458 62326\n97346 100000\n19739 29759\n27830 41916\n85574 100000\n50704 76113\n75518 100000\n85 129\n23527 35479\n96670 100000\n6007 9029\n5011 7523\n4087 6137\n52406 78646\n45629 68555\n57674 86521\n15334 23101\n43609 65541\n46683 70112\n85962 100000\n88363 100000\n37729 56768\n66539 99834\n98998 100000\n69458 100000\n61950 92913\n17106 25791\n38695 58209\n46268 69499\n85608 100000\n31324 47165\n49405 74171\n69721 100000\n57874 86819\n46670 70094\n70218 100000\n39581 59536\n69005 100000\n8777 13208\n18840 28376\n59850 89797\n47808 71791\n30722 46272\n8253 12411\n11711 17651\n21783 32841\n71592 100000\n54126 81221\n44151 66336\n99422 100000\n4029 6051\n43531 65423\n52547 78848\n33005 49680\n27499 41415\n90514 100000\n85937 100000\n36070 54252\n24524 36981\n86476 100000\n58299 87457\n14599 22005\n14571 21964\n89174 100000\n42443 63790\n1336 2038\n51800 77764\n88733 100000\n29335 44198\n13040 19635\n12397 18673\n51967 78008\n61390 92070\n65481 98220\n49329 74056\n93011 100000\n92243 100000\n86527 100000\n16069 24219\n3629 5470\n68488 100000\n61768 92641\n34978 52615\n7138 10717\n88699 100000\n67408 100000\n76152 100000\n79152 100000\n27012 40678\n21526 32441\n83973 100000\n32991 49660\n25357 38205\n28659 43183\n27299 41110\n94639 100000\n43617 65553\n98376 100000\n54136 81236\n97947 100000\n13750 20715\n4851 7287\n63283 94914\n72627 100000\n93733 100000\n18755 28255\n52033 78104\n64682 97013\n8081 12154\n97064 100000\n76866 100000\n68662 100000\n94473 100000\n73255 100000\n91914 100000\n70522 100000\n18229 27462\n27692 41710\n14848 22386\n55020 82541\n91213 100000\n16474 24827\n42619 64058\n62940 94399\n72594 100000\n92289 100000\n26296 39606\n17716 26694\n48915 73438\n79432 100000\n51959 77997\n29087 43823\n77791 100000\n30906 46554\n3976 5972\n60610 90924\n14769 22265\n14909 22474\n44924 67491\n73852 100000\n63100 94642\n42909 64488\n49037 73617\n49665 74552\n22674 34187\n20658 31154\n37170 55927\n88818 100000\n56941 85410\n17326 26122\n4594 6904\n92678 100000\n46309 69558\n96834 100000\n29843 44949\n27199 40958\n93406 100000\n16906 25488\n57946 86928\n61879 92807\n55062 82601\n99052 100000\n53416 80139\n79054 100000\n30055 45276\n27725 41754\n71461 100000\n54035 81088\n79886 100000\n17447 26298\n21449 32323\n30429 45836\n58033 87059\n82286 100000\n94743 100000\n87222 100000\n23250 35043\n39799 59875\n44649 67072\n59887 89858\n36544 54976\n464 711\n51768 77716\n87504 100000\n21596 32554\n51886 77891\n95119 100000\n41981 63118\n16624 25053\n20340 30665\n3733 5621\n47306 71031\n23153 34893\n60046 90089\n41752 62763\n33216 49988\n9686 14587\n76431 100000\n91320 100000\n32669 49188\n7761 11663\n88821 100000\n76335 100000\n36275 54555\n13148 19800\n52986 79496\n37675 56681\n61544 92296\n68099 100000\n9341 14053\n46449 69768\n7498 11266\n89455 100000\n49316 74040\n69290 100000\n82831 100000\n54894 82353\n26275 39576\n65135 97697\n53063 79619\n52620 78959\n45242 67963\n38667 58169\n49018 73589\n72201 100000\n32768 49334\n57351 86026\n71713 100000\n81914 100000\n25307 38129\n3178 4806\n78510 100000\n26644 40120\n68213 100000\n26581 40020\n51543 77378\n42555 63962\n64754 97130\n62684 94020\n64841 97260\n26518 39937\n65530 98297\n36655 55149\n38448 57847\n83838 100000\n9669 14560\n15078 22719\n46679 70107\n18107 27283\n2015 3065\n46549 69914\n92895 100000\n74632 100000\n38163 57417\n55264 82903\n73275 100000\n1559 2375\n40516 60934\n36811 55392\n54375 81582\n84955 100000\n78431 100000\n36956 55609\n39208 58976\n61785 92666\n34983 52623\n48514 72839\n12331 18572\n45456 68283\n83040 100000\n61563 92324\n40853 61430\n82725 100000\n53488 80246\n33417 50286\n14483 21833\n4016 6032\n32885 49509\n21323 32134\n84218 100000\n90739 100000\n34400 51744\n63682 95510\n60819 91240\n12246 18444\n3320 5016\n30420 45820\n45400 68198\n34888 52479\n44311 66571\n86830 100000\n52248 78412\n78762 100000\n38175 57438\n17931 27022\n6165 9267\n23531 35484\n38051 57250\n8320 12510\n90024 100000\n95324 100000\n53349 80036\n3932 5908\n14120 21280\n82497 100000\n91473 100000\n13714 20658\n18247 27488\n31054 46767\n79590 100000\n34545 51960\n24452 36872\n12909 19432\n88332 100000\n9857 14839\n97777 100000\n410 631\n43877 65943\n22403 33781\n8983 13521\n38192 57463\n8553 12867\n93987 100000\n11605 17487\n92741 100000\n12889 19405\n58288 87438\n7977 11992\n88012 100000\n11975 18045\n2228 3377\n72977 100000\n76295 100000\n42649 64102\n16610 25033\n87609 100000\n9455 14224\n72571 100000\n88330 100000\n84400 100000\n47038 70632\n60380 90581\n21906 33023\n57607 86421\n40355 60695\n41248 62023\n58515 87792\n74016 100000\n96015 100000\n7403 11125\n63575 95348\n3741 5635\n4965 7456\n76263 100000\n4588 6896\n10388 15639\n35425 53286\n50931 76460\n65531 98298\n44355 66633\n57251 85863\n41157 61886\n50183 75327\n58397 87611\n45509 68359\n44808 67314\n86370 100000\n13337 20082\n89899 100000\n33280 50087\n28417 42812\n38236 57529\n65199 97792\n65709 98566\n78015 100000\n91163 100000\n72613 100000\n30520 45973\n62165 93242\n30973 46652\n55813 83727\n99488 100000\n83820 100000\n53691 80557\n33170 49921\n28147 42397\n28938 43604\n7326 11006\n60396 90605\n60754 91141\n57281 85909\n36428 54798\n28720 43281\n81366 100000\n71879 100000\n59047 88590\n78592 100000\n83610 100000\n96283 100000\n76784 100000\n25682 38684\n88323 100000\n20942 31572\n77262 100000\n43474 65342\n63567 95335\n91535 100000\n26997 40654\n88640 100000\n14037 21157\n71 111\n88886 100000\n69747 100000\n84654 100000\n91288 100000\n33016 49698\n27680 41691\n98412 100000\n71378 100000\n57575 86374\n35920 54026\n99320 100000\n22159 33411\n78660 100000\n25104 37831\n2341 3546\n22534 33971\n54712 82086\n14669 22113\n54067 81134\n93132 100000\n66551 99852\n46228 69439\n89843 100000\n30150 45418\n67104 100000\n25412 38289\n69951 100000\n65885 98840\n67185 100000\n69388 100000\n88877 100000\n53715 80596\n28241 42541\n9803 14756\n26200 39462\n6094 9167\n4668 7010\n75073 100000\n91841 100000\n3413 5155\n99027 100000\n27855 41954\n78296 100000\n7671 11530\n64697 97037\n63179 94760\n1269 1933\n97140 100000\n7144 10727\n41005 61659\n38495 57913\n5692 8547\n80406 100000\n91889 100000\n38077 57291\n46008 69111\n56818 85223\n18697 28169\n42431 63774\n77533 100000\n44190 66389\n20332 30652\n89286 100000\n82815 100000\n66654 100000\n81417 100000\n8495 12775\n40012 60187\n74144 100000\n9332 14040\n4514 6792\n83562 100000\n25207 37982\n53695 80563\n58141 87227\n65004 97500\n9931 14954\n38738 58271\n7927 11915\n43419 65262\n98164 100000\n57057 85573\n90080 100000\n92946 100000\n15323 23085\n12950 19495\n82210 100000\n7682 11544\n70931 100000\n37007 55686\n79204 100000\n91545 100000\n13000 19573\n16563 24964\n69643 100000\n49408 74174\n17671 26623\n75570 100000\n98500 100000\n93645 100000\n70363 100000\n15439 23253\n65041 97556\n4744 7125\n24368 36750\n31374 47246\n7777 11688\n53553 80350\n91880 100000\n32375 48751\n93182 100000\n21612 32579\n46977 70545\n2433 3673\n20124 30351\n66860 100000\n52474 78742\n94958 100000\n5113 7680\n47869 71881\n43427 65276\n69567 100000\n29082 43817\n5530 8302\n99096 100000\n52678 79038\n96290 100000\n76567 100000\n39626 59608\n9036 13597\n78832 100000\n91901 100000\n21933 33062\n29895 45034\n17259 26027\n56504 84760\n90571 100000\n33934 51048\n73959 100000\n46324 69577\n48184 72364\n3214 4857\n76290 100000\n33921 51032\n67382 100000\n97791 100000\n85747 100000\n77980 100000\n61179 91764\n15658 23598\n55748 83631\n97467 100000\n59810 89737\n65233 97838\n16780 25292\n41811 62854\n61453 92161\n2602 3935\n47110 70748\n15201 22905\n97046 100000\n66869 100000\n42441 63786\n20582 31042\n29402 44290\n66332 99531\n83752 100000\n92886 100000\n44986 67588\n22622 34114\n3099 4684\n45822 68839\n94762 100000\n6342 9533\n64564 96836\n45064 67700\n19461 29338\n97298 100000\n73933 100000\n47378 71141\n2943 4448\n58351 87537\n53407 80126\n7825 11760\n2075 3152\n17370 26183\n76039 100000\n77419 100000\n40395 60750\n68387 100000\n20485 30895\n43679 65649\n61266 91895\n41932 63043\n755 1161\n9675 14569\n57326 85985\n86440 100000\n82395 100000\n24157 36419\n33340 50176\n85893 100000\n57168 85738\n64098 96150\n33657 50637\n19205 28935\n46368 69648\n42352 63654\n19173 28882\n62704 94050\n97861 100000\n42020 63172\n6373 9575\n31852 47973\n29113 43862\n61023 91535\n15832 23869\n95337 100000\n91937 100000\n65772 98668\n48269 72486\n77305 100000\n51216 76889\n89845 100000\n90496 100000\n79551 100000\n29759 44824\n21641 32621\n72110 100000\n49636 74510\n25756 38798\n85746 100000\n19458 29333\n31742 47811\n23466 35388\n16352 24647\n6135 9222\n11646 17549\n27497 41412\n39158 58903\n13493 20324\n95326 100000\n37873 56982\n54756 82155\n57647 86481\n92607 100000\n5982 8993\n80408 100000\n66434 99683\n42399 63728\n40249 60534\n49477 74278\n51716 77641\n22202 33475\n41208 61964\n1524 2326\n59714 89596\n98189 100000\n52707 79075\n3541 5346\n43009 64641\n18576 27988\n11094 16695\n78530 100000\n52050 78128\n39083 58789\n30633 46137\n28395 42776\n46364 69641\n68767 100000\n35013 52668\n73412 100000\n67572 100000\n36983 55649\n87717 100000\n94737 100000\n49426 74204\n83409 100000\n84942 100000\n10863 16348\n69428 100000\n22697 34222\n40803 61357\n56006 84022\n75137 100000\n66830 100000\n18334 27623\n67020 100000\n34086 51279\n71300 100000\n65904 98871\n68096 100000\n25198 37968\n64134 96202\n61966 92934\n68124 100000\n26556 39986\n53005 79526\n33541 50463\n93427 100000\n64964 97443\n67384 100000\n21488 32381\n6521 9802\n47792 71766\n47241 70933\n72597 100000\n17364 26175\n97641 100000\n34689 52176\n86438 100000\n4197 6303\n91604 100000\n1606 2447\n67850 100000\n37334 56165\n67806 100000\n36696 55217\n21347 32169\n6615 9940\n9749 14677\n27206 40969\n11745 17706\n72521 100000\n11469 17277\n59703 89578\n24397 36792\n86081 100000\n70988 100000\n17277 26052\n54010 81052\n24482 36918\n86961 100000\n99686 100000\n6228 9361\n22306 33632\n30399 45790\n63799 95696\n16662 25109\n29011 43710\n83782 100000\n17873 26934\n98515 100000\n70462 100000\n620 953\n14755 22246\n95655 100000\n48166 72334\n80483 100000\n82417 100000\n26824 40397\n22130 33367\n48988 73543\n51652 77543\n60384 90587\n53204 79825\n40700 61207\n9093 13680\n5903 8869\n52698 79066\n45395 68190\n32128 48374\n40007 60181\n8802 13247\n26600 40046\n73307 100000\n32551 49018\n73861 100000\n38279 57597\n61790 92673\n16219 24449\n52582 78904\n66563 99871\n62631 93943\n54817 82245\n97079 100000\n96153 100000\n81120 100000\n1231 1877\n74467 100000\n97679 100000\n78092 100000\n34875 52458\n48478 72786\n97988 100000\n51272 76969\n71787 100000\n57613 86429\n94759 100000\n54261 81423\n8246 12401\n39189 58948\n74113 100000\n14932 22508\n57291 85924\n33572 50508\n30778 46363\n8355 12562\n59277 88938\n22894 34517\n49206 73876\n81893 100000\n20200 30461\n48390 72660\n73914 100000\n35530 53441\n13195 19872\n33961 51091\n22418 33801\n19569 29497\n1650 2512\n59942 89937\n83380 100000\n59697 89572\n49618 74485\n24381 36767\n42398 63726\n33351 50188\n69233 100000\n95982 100000\n94376 100000\n682 1047\n57629 86456\n23616 35600\n58301 87461\n55898 83864\n4983 7482\n91599 100000\n44248 66476\n39348 59187\n57696 86556\n83072 100000\n84909 100000\n19390 29227\n32308 48652\n9956 14989\n61239 91853\n11449 17245\n81101 100000\n13186 19858\n12458 18768\n65435 98151\n99948 100000\n92658 100000\n84232 100000\n71483 100000\n7474 11233\n56977 85460\n79868 100000\n7884 11850\n58334 87511\n65115 97667\n1239 1888\n75021 100000\n28464 42885\n52365 78582\n7300 10963\n22877 34490\n54030 81080\n88959 100000\n84682 100000\n73407 100000\n74212 100000\n6158 9256\n76029 100000\n55056 82593\n64596 96882\n79626 100000\n67156 100000\n37075 55781\n35649 53624\n38074 57286\n71341 100000\n95268 100000\n40968 61600\n81094 100000\n14615 22030\n68653 100000\n72376 100000\n55339 83019\n6640 9978\n90400 100000\n80307 100000\n46789 70265\n62569 93848\n91567 100000\n16418 24747\n29957 45125\n34517 51920\n49518 74342\n67629 100000\n63493 95232\n83960 100000\n20664 31164\n72828 100000\n55651 83486\n51783 77739\n71239 100000\n50099 75197\n72221 100000\n86051 100000\n35089 52779\n46900 70430\n48971 73518\n49814 74774\n89660 100000\n80403 100000\n3422 5169\n86557 100000\n62994 94483\n92618 100000\n84046 100000\n59419 89156\n72350 100000\n33445 50325\n71606 100000\n18582 27996\n42899 64471\n87879 100000\n32155 48416\n56864 85294\n56473 84712\n85483 100000\n77956 100000\n90710 100000\n7492 11258\n83251 100000\n15617 23533\n27556 41501\n10169 15308\n74418 100000\n10829 16298\n78444 100000\n11242 16924\n48247 72454\n31556 47526\n2689 4069\n32009 48197\n15184 22876\n82608 100000\n31247 47058\n79330 100000\n91970 100000\n30369 45744\n91714 100000\n22763 34319\n74865 100000\n85001 100000\n76748 100000\n16243 24485\n4192 6295\n67252 100000\n8457 12717\n41082 61775\n31822 47925\n22532 33968\n10643 16011\n84555 100000\n25377 38232\n5437 8164\n46303 69548\n95123 100000\n42719 64205\n63574 95347\n21353 32179\n7845 11792\n45028 67648\n78914 100000\n79038 100000\n43376 65200\n24333 36697\n72538 100000\n85877 100000\n68543 100000\n94692 100000\n34322 51629\n61434 92135\n63054 94572\n58310 87475\n51720 77647\n59403 89136\n26096 39307\n52523 78813\n26633 40100\n55306 82972\n71907 100000\n15099 22753\n85236 100000\n971 1484\n58139 87223\n84144 100000\n98686 100000\n63939 95897\n40470 60865\n92327 100000\n11098 16702\n44963 67550\n30741 46305\n30738 46300\n6230 9364\n69050 100000\n95964 100000\n34279 51557\n2202 3337\n20419 30789\n25793 38855\n45533 68400\n76853 100000\n35968 54098\n94369 100000\n59522 89300\n470 719\n25902 39017\n31013 46706\n81631 100000\n96550 100000\n67152 100000\n99324 100000\n68505 100000\n94955 100000\n50151 75279\n89869 100000\n65262 97884\n66119 99199\n97127 100000\n52459 78722\n31748 47818\n75999 100000\n78596 100000\n11500 17328\n90529 100000\n73617 100000\n5281 7931\n87732 100000\n79381 100000\n41984 63123\n28588 43075\n27827 41911\n20996 31651\n63080 94609\n53280 79934\n85542 100000\n89924 100000\n79796 100000\n10801 16256\n88003 100000\n99212 100000\n96542 100000\n53961 80977\n12667 19085\n12825 19314\n5031 7557\n15568 23457\n33308 50127\n52133 78244\n98503 100000\n75823 100000\n96063 100000\n32146 48401\n37489 56406\n97149 100000\n48648 73035\n25856 38951\n29527 44469\n36744 55290\n5705 8567\n63865 95788\n92972 100000\n18294 27561\n57832 86751\n61980 92959\n43799 65830\n92400 100000\n48300 72528\n97118 100000\n84121 100000\n64859 97285\n29586 44560\n70381 100000\n35147 52870\n75564 100000\n82561 100000\n92836 100000\n21093 31794\n52168 78291\n21157 31887\n64988 97476\n48403 72677\n22456 33859\n9837 14805\n93218 100000\n78007 100000\n48561 72904\n6266 9421\n64522 96770\n98471 100000\n13652 20564\n6542 9834\n50706 76117\n19126 28808\n61963 92929\n52040 78114\n34080 51270\n62059 93076\n48526 72855\n27922 42058\n22926 34561\n64691 97028\n91754 100000\n85792 100000\n5575 8370\n62072 93095\n52293 78480\n29517 44455\n92956 100000\n3157 4772\n63305 94945\n88738 100000\n92534 100000\n94991 100000\n31615 47625\n20092 30302\n95301 100000\n83302 100000\n73178 100000\n49951 74971\n403 621\n45851 68880\n13976 21066\n30209 45505\n77230 100000\n60705 91064\n57188 85766\n70700 100000\n86508 100000\n60455 90693\n56242 84354\n41699 62689\n91306 100000\n31835 47949\n96533 100000\n2495 3774\n84485 100000\n48198 72385\n81702 100000\n30403 45795\n18784 28294\n13629 20531\n16648 25089\n81081 100000\n69444 100000\n99599 100000\n80576 100000\n5185 7780\n75787 100000\n52071 78153\n75892 100000\n50754 76192\n9978 15022\n44080 66238\n48475 72783\n90148 100000\n918 1405\n55182 82780\n90259 100000\n64243 96361\n38772 58322\n56626 84941\n62929 94381\n48772 73230\n34331 51641\n14448 21786\n14791 22296\n70387 100000\n8695 13086\n92312 100000\n23304 35132\n80642 100000\n98075 100000\n88101 100000\n10842 16318\n7327 11008\n44573 66962\n92190 100000\n61653 92463\n86904 100000\n14573 21967\n63227 94828\n87691 100000\n81942 100000\n47950 72008\n43242 64993\n81338 100000\n26439 39815\n23710 35747\n84973 100000\n16213 24441\n66321 99514\n85535 100000\n7260 10901\n32262 48580\n66917 100000\n13508 20349\n33954 51081\n11931 17980\n55080 82630\n41239 62010\n298 457\n55725 83596\n61919 92869\n38139 57379\n33769 50809\n34588 52022\n99374 100000\n57906 86867\n50267 75457\n6170 9274\n44309 66568\n68266 100000\n56780 85170\n46093 69246\n48552 72893\n965 1477\n70138 100000\n59312 88995\n76330 100000\n64060 96090\n59297 88971\n74624 100000\n65679 98519\n30618 46116\n93454 100000\n57992 87000\n43440 65294\n54499 81768\n12105 18233\n65619 98430\n85631 100000\n29602 44582\n46210 69417\n93463 100000\n97019 100000\n51375 77121\n1756 2671\n11533 17378\n92672 100000\n39171 58923\n91032 100000\n53001 79521\n85159 100000\n30239 45548\n88950 100000\n46783 70254\n3538 5342\n23503 35446\n37599 56570\n16969 25583\n74004 100000\n1914 2911\n96584 100000\n38041 57234\n93810 100000\n97117 100000\n75658 100000\n13684 20614\n52747 79139\n92615 100000\n21743 32780\n57071 85594\n85294 100000\n845 1300\n31696 47747\n54534 81816\n58449 87695\n85531 100000\n83998 100000\n62594 93885\n14931 22507\n7931 11922\n38182 57448\n17654 26597\n80665 100000\n53835 80779\n98207 100000\n49658 74541\n19020 28648\n79400 100000\n26332 39660\n40699 61205\n1571 2393\n63985 95970\n32456 48876\n45060 67695\n99518 100000\n6227 9360\n81514 100000\n19357 29174\n67196 100000\n60122 90200\n26872 40470\n4555 6851\n38396 57769\n1261 1921\n20154 30395\n78385 100000\n76049 100000\n43564 65474\n84959 100000\n85490 100000\n90334 100000\n59982 89996\n35049 52724\n67479 100000\n54791 82206\n40503 60913\n34531 51940\n17508 26385\n3490 5276\n2191 3319\n30354 45721\n63843 95757\n59925 89912\n63746 95609\n34783 52314\n32579 49057\n5450 8184\n38323 57659\n20065 30261\n10751 16185\n73631 100000\n29746 44804\n38531 57961\n70680 100000\n16985 25605\n95370 100000\n77585 100000\n9517 14326\n8437 12687\n82624 100000\n99562 100000\n88416 100000\n81020 100000\n60575 90871\n1386 2123\n19349 29162\n28740 43312\n76061 100000\n94928 100000\n20631 31112\n62992 94479\n47543 71386\n58172 87270\n98508 100000\n11413 17198\n73270 100000\n32324 48674\n91500 100000\n64904 97355\n83412 100000\n50580 75931\n92645 100000\n67284 100000\n54186 81316\n29823 44922\n82943 100000\n66222 99357\n9082 13662\n21890 32997\n45234 67952\n53365 80061\n15956 24046\n29489 44412\n36868 55479\n73226 100000\n32117 48356\n26795 40355\n95345 100000\n83931 100000\n62369 93556\n99146 100000\n21626 32600\n32443 48853\n83261 100000\n55998 84009\n70632 100000\n75118 100000\n91254 100000\n45121 67786\n23799 35874\n42151 63368\n44586 66979\n28939 43606\n9118 13716\n77941 100000\n67268 100000\n1856 2828\n63095 94635\n85996 100000\n94422 100000\n9353 14072\n45763 68755\n44044 66184\n53992 81024\n40204 60469\n31278 47100\n86379 100000\n52156 78275\n45142 67815\n38595 58059\n79962 100000\n34485 51869\n82284 100000\n1374 2103\n30711 46259\n31955 48120\n34058 51239\n99398 100000\n26449 39830\n11674 17593\n65351 98021\n76714 100000\n34262 51528\n64733 97096\n87865 100000\n48863 73363\n3801 5724\n18109 27285\n9081 13660\n45922 68988\n41954 63076\n21809 32879\n24793 37364\n49836 74806\n19382 29213\n94715 100000\n440 675\n70771 100000\n4720 7090\n20744 31280\n216 331\n2065 3138\n71811 100000\n32274 48598\n60879 91326\n62019 93018\n23235 35022\n63443 95155\n33391 50246\n86999 100000\n37444 56341\n94527 100000\n2159 3273\n27747 41791\n6319 9497\n50353 75592\n13300 20027\n59888 89859\n43593 65518\n84078 100000\n31165 46942\n73906 100000\n35721 53730\n11087 16683\n53230 79863\n31280 47103\n91420 100000\n22429 33819\n17937 27030\n33299 50114\n93157 100000\n88615 100000\n87299 100000\n80692 100000\n19832 29901\n57757 86642\n12289 18509\n25051 37755\n4829 7255\n10091 15193\n47540 71380\n6968 10460\n83601 100000\n94806 100000\n36426 54796\n88144 100000\n3334 5040\n16697 25163\n4396 6603\n6385 9593\n20814 31384\n67132 100000\n48669 73067\n86403 100000\n45407 68208\n54917 82385\n32605 49093\n25767 38816\n71449 100000\n20042 30227\n59543 89331\n68525 100000\n44438 66758\n5712 8577\n15138 22810\n54272 81438\n57339 86009\n93542 100000\n80226 100000\n18254 27499\n82807 100000\n224 344\n55179 82776\n24980 37644\n96889 100000\n27404 41276\n89697 100000\n39861 59960\n91578 100000\n45651 68589\n82703 100000\n90169 100000\n91006 100000\n14857 22398\n76142 100000\n78008 100000\n25721 38745\n80873 100000\n14879 22430\n70906 100000\n72918 100000\n25077 37793\n26288 39594\n36946 55597\n9411 14162\n15008 22618\n17831 26871\n68026 100000\n45085 67734\n74351 100000\n68544 100000\n43762 65777\n23054 34755\n98915 100000\n46011 69115\n63008 94505\n3016 4558\n10239 15412\n97843 100000\n76632 100000\n11282 16987\n48921 73448\n12213 18394\n45457 68285\n37814 56889\n7605 11431\n19928 30056\n85772 100000\n69925 100000\n71923 100000\n53412 80133\n16349 24643\n89628 100000\n18586 28003\n4680 7026\n74929 100000\n29512 44448\n9102 13692\n85341 100000\n47802 71781\n69386 100000\n449 692\n10357 15587\n47849 71854\n16981 25600\n36250 54516\n49673 74562\n87679 100000\n12504 18840\n72528 100000\n74955 100000\n75448 100000\n30066 45293\n24743 37293\n64856 97281\n90689 100000\n60043 90085\n41490 62373\n56942 85411\n95363 100000\n92526 100000\n9435 14194\n71858 100000\n41045 61722\n13741 20701\n69825 100000\n32940 49590\n13611 20503\n82376 100000\n86369 100000\n62358 93538\n3819 5750\n71830 100000\n71005 100000\n80557 100000\n15922 24000\n75323 100000\n7631 11470\n74581 100000\n65167 97743\n86513 100000\n32011 48200\n43881 65949\n93862 100000\n80947 100000\n29198 43994\n45576 68468\n47262 70966\n98822 100000\n7446 11191\n53254 79895\n72319 100000\n29769 44840\n4133 6203\n54941 82422\n51116 76736\n13396 20173\n5976 8983\n87491 100000\n39315 59133\n91297 100000\n68259 100000\n45928 68996\n44227 66448\n15448 23269\n71575 100000\n40530 60955\n43443 65297\n33987 51129\n2013 3061\n74898 100000\n45053 67685\n32370 48744\n69090 100000\n40205 60471\n93972 100000\n16651 25094\n29050 43770\n12870 19373\n30495 45936\n99919 100000\n55803 83711\n20791 31351\n81823 100000\n92742 100000\n9061 13635\n30913 46564\n57929 86901\n70947 100000\n96463 100000\n23706 35739\n57311 85959\n73206 100000\n1893 2882\n7188 10795\n8956 13477\n5352 8036\n63201 94790\n75351 100000\n26604 40051\n72184 100000\n76435 100000\n68612 100000\n42128 63332\n25769 38819\n55331 83010\n60745 91127\n33413 50281\n25188 37954\n85751 100000\n71741 100000\n75651 100000\n50700 76106\n73337 100000\n37308 56123\n99608 100000\n81638 100000\n81747 100000\n54059 81122\n95896 100000\n16385 24696\n8998 13545\n62304 93459\n73454 100000\n24567 37033\n25287 38100\n71472 100000\n14498 21855\n90907 100000\n58410 87632\n82539 100000\n43756 65766\n84775 100000\n55220 82838\n7896 11866\n76020 100000\n42927 64515\n42132 63339\n40536 60964\n95983 100000\n38526 57953\n54613 81940\n92280 100000\n37960 57120\n41812 62856\n95278 100000\n24888 37503\n66766 100000\n50265 75454\n84049 100000\n52605 78934\n25867 38968\n91376 100000\n64470 96686\n27708 41732\n15639 23570\n18478 27840\n65009 97508\n83872 100000\n85489 100000\n12274 18487\n40346 60679\n54759 82160\n11866 17882\n77071 100000\n66506 99787\n39526 59450\n62526 93786\n2218 3360\n66174 99282\n20680 31188\n34358 51679\n61257 91883\n82090 100000\n72237 100000\n57284 85914\n87690 100000\n84299 100000\n9257 13926\n61041 91561\n92160 100000\n42939 64536\n10089 15191\n47735 71675\n74544 100000\n35422 53280\n66781 100000\n63304 94943\n64204 96303\n48934 73466\n15684 23637\n41370 62194\n31250 47061\n84512 100000\n419 645\n6949 10433\n60171 90269\n81317 100000\n10613 15965\n13224 19916\n14849 22387\n15977 24076\n30899 46545\n25563 38517\n92259 100000\n41233 62001\n30628 46130\n37942 57092\n87571 100000\n77763 100000\n87308 100000\n97662 100000\n45008 67619\n75616 100000\n4331 6508\n77006 100000\n53243 79880\n14401 21709\n85440 100000\n33927 51039\n15292 23042\n55262 82900\n57141 85697\n49668 74556\n82070 100000\n49502 74320\n50660 76043\n65173 97752\n40055 60250\n55235 82859\n85272 100000\n80577 100000\n48989 73544\n55486 83238\n2040 3102\n52223 78371\n41135 61852\n65778 98676\n98399 100000\n1112 1701\n59254 88903\n83417 100000\n83162 100000\n64066 96100\n11174 16815\n67099 100000\n18213 27440\n13356 20112\n85606 100000\n61835 92740\n55198 82803\n75545 100000\n19496 29388\n30140 45403\n7636 11476\n999 1525\n19488 29376\n20287 30590\n1258 1917\n34339 51654\n58061 87104\n91018 100000\n26113 39336\n40729 61251\n66653 100000\n8839 13303\n46910 70443\n15540 23414\n60770 91168\n40062 60261\n41965 63094\n78088 100000\n38464 57869\n47092 70720\n76410 100000\n97798 100000\n6856 10297\n39295 59104\n38202 57476\n26479 39878\n59150 88745\n38986 58644\n607 931\n71249 100000\n42497 63869\n27848 41945\n18678 28139\n84595 100000\n53044 79586\n28111 42341\n72982 100000\n68712 100000\n75249 100000\n47732 71671\n68310 100000\n38592 58054\n57410 86121\n24479 36914\n16974 25589\n55555 83342\n31580 47564\n94216 100000\n46192 69390\n62487 93729\n92598 100000\n67297 100000\n84296 100000\n54370 81575\n16767 25270\n76952 100000\n99050 100000\n30256 45574\n30299 45642\n84706 100000\n24364 36743\n13757 20726\n18465 27816\n35885 53977\n51861 77851\n11054 16633\n69204 100000\n89231 100000\n9203 13839\n98144 100000\n85706 100000\n39144 58883\n52014 78075\n7582 11394\n63906 95849\n54954 82441\n97903 100000\n37944 57094\n48262 72475\n93491 100000\n39475 59378\n30916 46570\n11814 17803\n3381 5108\n18417 27736\n85076 100000\n72463 100000\n63487 95222\n35864 53942\n53710 80588\n70843 100000\n11273 16974\n14563 21950\n30566 46040\n46791 70269\n82693 100000\n55880 83835\n15382 23172\n48638 73018\n25524 38461\n73836 100000\n63587 95365\n76594 100000\n58452 87699\n76298 100000\n28691 43238\n63795 95690\n6774 10181\n9326 14033\n92527 100000\n77142 100000\n18793 28308\n29583 44555\n88154 100000\n70162 100000\n69691 100000\n24034 36235\n99812 100000\n9153 13770\n15026 22643\n57068 85589\n48569 72915\n71181 100000\n41569 62491\n33808 50868\n84341 100000\n84154 100000\n18664 28120\n60537 90815\n98328 100000\n91820 100000\n72238 100000\n74851 100000\n16273 24530\n21855 32946\n72574 100000\n97900 100000\n26231 39505\n36777 55339\n9363 14086\n95771 100000\n63834 95744\n74702 100000\n74723 100000\n96888 100000\n42842 64386\n65154 97723\n78339 100000\n17975 27083\n22529 33963\n62742 94105\n12556 18914\n11905 17940\n38677 58181\n11887 17913\n64346 96507\n89728 100000\n2223 3369\n49305 74023\n86872 100000\n94379 100000\n59561 89360\n42563 63975\n80388 100000\n45723 68697\n68138 100000\n77610 100000\n47165 70823\n43512 65392\n77486 100000\n76858 100000\n79738 100000\n57006 85500\n72758 100000\n7836 11777\n77837 100000\n69640 100000\n74323 100000\n69583 100000\n52311 78509\n41443 62302\n49728 74645\n40005 60178\n25034 37728\n55852 83791\n43605 65534\n60033 90072\n31343 47192\n12707 19146\n1009 1538\n72243 100000\n74197 100000\n32671 49191\n53546 80339\n70794 100000\n24542 37002\n18753 28252\n81519 100000\n89176 100000\n40830 61396\n40279 60582\n75694 100000\n15447 23268\n10131 15256\n78052 100000\n16027 24153\n2570 3890\n76487 100000\n99600 100000\n39102 58816\n65014 97516\n42258 63523\n8691 13080\n23413 35308\n86590 100000\n50910 76428\n88050 100000\n59927 89915\n6124 9206\n56086 84131\n73214 100000\n43069 64727\n71611 100000\n92274 100000\n72171 100000\n38247 57548\n22533 33969\n87126 100000\n59811 89739\n88478 100000\n78946 100000\n16102 24268\n69943 100000\n66019 99042\n64065 96098\n22922 34557\n20902 31515\n92913 100000\n98463 100000\n99364 100000\n70283 100000\n23968 36131\n67671 100000\n23862 35973\n7750 11647\n7522 11303\n63922 95871\n89293 100000\n79431 100000\n46606 70002\n25110 37839\n32413 48812\n91381 100000\n87309 100000\n15086 22731\n80431 100000\n12195 18369\n11978 18049\n29510 44445\n82093 100000\n84984 100000\n51241 76922\n59590 89406\n1861 2836\n88172 100000\n46840 70341\n50364 75607\n6298 9465\n75347 100000\n23760 35815\n10654 16028\n52513 78799\n25683 38686\n11315 17038\n92442 100000\n53410 80130\n73228 100000\n87985 100000\n55910 83882\n30836 46448\n65961 98958\n93559 100000\n76591 100000\n34253 51513\n32502 48944\n1412 2165\n90097 100000\n1794 2731\n56901 85350\n76310 100000\n6409 9630\n62164 93240\n88201 100000\n41175 61910\n25662 38654\n38655 58151\n59591 89408\n39302 59116\n38440 57832\n78779 100000\n2497 3776\n69745 100000\n81103 100000\n52943 79433\n62749 94116\n69647 100000\n77024 100000\n94120 100000\n69427 100000\n41162 61892\n87311 100000\n20877 31479\n49882 74873\n36346 54670\n40372 60717\n44370 66657\n67838 100000\n34751 52265\n89111 100000\n77927 100000\n72704 100000\n32555 49022\n57277 85904\n91188 100000\n44168 66358\n80051 100000\n66133 99220\n25649 38637\n49591 74444\n24232 36540\n37739 56782\n29226 44031\n62309 93467\n20825 31401\n31470 47390\n26433 39807\n78399 100000\n75039 100000\n69405 100000\n3146 4755\n14717 22192\n92420 100000\n41818 62864\n80194 100000\n17700 26669\n62115 93160\n73410 100000\n47441 71234\n37685 56695\n37041 55737\n86195 100000\n74939 100000\n374 575\n7840 11783\n9236 13891\n27506 41425\n44072 66224\n70244 100000\n30999 46688\n70838 100000\n47901 71928\n13264 19977\n45006 67617\n13055 19658\n93215 100000\n92372 100000\n99834 100000\n43418 65261\n59491 89257\n41348 62164\n28869 43504\n7218 10839\n6693 10057\n36566 55009\n33048 49746\n44359 66639\n94225 100000\n99786 100000\n98201 100000\n95707 100000\n93729 100000\n99694 100000\n49030 73606\n96619 100000\n45664 68606\n76444 100000\n11790 17767\n53541 80331\n12055 18165\n22220 33500\n49148 73787\n89325 100000\n48898 73415\n6056 9109\n36644 55133\n72998 100000\n63645 95452\n95656 100000\n8206 12341\n64384 96555\n54294 81471\n40321 60641\n97863 100000\n75324 100000\n63322 94973\n74262 100000\n46021 69133\n72508 100000\n1632 2486\n30432 45841\n86770 100000\n56374 84563\n10189 15338\n30728 46283\n45168 67855\n27425 41304\n450 694\n27057 40744\n10966 16501\n89195 100000\n84830 100000\n16728 25208\n24059 36276\n63720 95565\n18441 27778\n77594 100000\n12222 18407\n27622 41605\n73143 100000\n15648 23583\n73823 100000\n85850 100000\n16361 24660\n52084 78171\n28576 43059\n57232 85835\n98994 100000\n29227 44032\n41848 62915\n69191 100000\n92221 100000\n27017 40685\n34616 52064\n94908 100000\n54589 81900\n59244 88889\n60801 91212\n32663 49177\n74541 100000\n3605 5437\n68204 100000\n11798 17778\n64773 97159\n75354 100000\n54504 81774\n72959 100000\n22868 34474\n76701 100000\n51525 77348\n32042 48249\n14702 22167\n29282 44117\n72361 100000\n60212 90333\n38519 57942\n48560 72903\n9815 14772\n11070 16658\n92771 100000\n94322 100000\n23439 35348\n85191 100000\n10776 16219\n48910 73430\n62786 94168\n92941 100000\n90585 100000\n17213 25956\n30193 45480\n45991 69088\n4071 6116\n26022 39194\n79918 100000\n15487 23330\n66626 99971\n35227 52994\n68425 100000\n24702 37230\n71402 100000\n79865 100000\n22569 34024\n25334 38171\n65054 97576\n5276 7924\n27820 41901\n29488 44411\n89166 100000\n49685 74580\n48347 72596\n33220 49994\n13326 20064\n21387 32230\n39889 60007\n54567 81867\n93076 100000\n47266 70973\n23201 34971\n97237 100000\n15963 24055\n68223 100000\n20084 30290\n43688 65663\n73289 100000\n71340 100000\n36353 54681\n86582 100000\n71725 100000\n62332 93500\n16190 24405\n46342 69604\n38240 57535\n30511 45959\n57953 86939\n81274 100000\n28156 42410\n55188 82790\n87065 100000\n23907 36041\n50983 76536\n99268 100000\n48659 73052\n97154 100000\n15934 24016\n11396 17170\n69697 100000\n16921 25509\n90549 100000\n47113 70753\n91237 100000\n43846 65896\n68078 100000\n61448 92155\n66823 100000\n26676 40172\n38261 57569\n83386 100000\n56695 85048\n77369 100000\n20510 30933\n31201 46993\n61057 91583\n13539 20396\n44064 66213\n88737 100000\n91818 100000\n70342 100000\n751 1154\n57200 85786\n55109 82671\n28468 42891\n61482 92204\n32554 49021\n93327 100000\n80877 100000\n87438 100000\n51293 76999\n5322 7989\n36309 54611\n64184 96272\n18083 27247\n76350 100000\n63946 95908\n52498 78778\n32614 49107\n69706 100000\n93204 100000\n7304 10969\n22702 34227\n86478 100000\n21703 32722\n99100 100000\n13556 20425\n70518 100000\n50311 75526\n12868 19371\n4317 6489\n4756 7142\n62308 93465\n48516 72841\n7879 11841\n79992 100000\n22411 33791\n59092 88656\n597 916\n20840 31424\n91279 100000\n74786 100000\n1918 2917\n52649 78996\n38470 57878\n36957 55610\n67719 100000\n8176 12298\n35957 54080\n68253 100000\n12746 19203\n44449 66773\n30599 46088\n94515 100000\n90265 100000\n33502 50407\n33113 49839\n21646 32630\n52833 79268\n9247 13909\n76801 100000\n46402 69697\n65741 98618\n24723 37262\n29722 44766\n77361 100000\n43999 66121\n16584 24995\n72762 100000\n31409 47298\n31729 47791\n52689 79052\n70111 100000\n50481 75784\n45334 68103\n65436 98152\n25760 38805\n60955 91437\n44146 66329\n35048 52722\n36897 55524\n43462 65325\n42546 63952\n55439 83164\n14429 21756\n96713 100000\n21304 32104\n29553 44508\n86828 100000\n45854 68885\n58992 88510\n51148 76793\n30610 46103\n29541 44490\n85570 100000\n95418 100000\n94673 100000\n24502 36948\n54521 81798\n87722 100000\n93033 100000\n98204 100000\n74685 100000\n12269 18479\n44768 67253\n17528 26415\n64002 95995\n11762 17728\n78377 100000\n6697 10062\n48056 72162\n75163 100000\n23417 35314\n92599 100000\n99800 100000\n29932 45086\n99983 100000\n66816 100000\n60195 90307\n6102 9175\n16950 25555\n75142 100000\n33257 50055\n64016 96019\n52114 78214\n77506 100000\n45386 68177\n81891 100000\n59090 88654\n71054 100000\n51316 77034\n84793 100000\n313 480\n95094 100000\n80587 100000\n64976 97459\n9552 14384\n7572 11380\n4604 6919\n50895 76404\n99615 100000\n68630 100000\n13046 19645\n52686 79049\n22021 33194\n28839 43464\n13783 20765\n197 301\n77939 100000\n54771 82178\n57035 85541\n34648 52110\n22629 34123\n87100 100000\n94949 100000\n55548 83330\n94227 100000\n19979 30132\n89798 100000\n93496 100000\n45957 69039\n63943 95903\n68944 100000\n78468 100000\n79672 100000\n44308 66566\n38352 57701\n92736 100000\n28403 42788\n43516 65398\n38086 57305\n41152 61879\n48448 72743\n82496 100000\n55349 83031\n24718 37255\n29146 43910\n45608 68521\n73077 100000\n56047 84081\n82056 100000\n72313 100000\n16106 24274\n91169 100000\n44907 67469\n10400 15655\n35615 53572\n87425 100000\n65026 97534\n87214 100000\n94423 100000\n62311 93470\n28374 42745\n22111 33336\n76201 100000\n2320 3516\n55472 83215\n49958 74981\n26843 40425\n80763 100000\n52820 79250\n78474 100000\n47037 70631\n76882 100000\n87628 100000\n57197 85781\n11826 17821\n29372 44247\n37232 56014\n51607 77476\n16945 25546\n45301 68052\n84238 100000\n73903 100000\n60589 90894\n26749 40289\n61975 92949\n7659 11510\n72821 100000\n103 153\n66780 100000\n35824 53885\n38537 57969\n24321 36676\n87305 100000\n54940 82421\n77811 100000\n32457 48878\n88054 100000\n83799 100000\n35060 52739\n16523 24904\n32343 48702\n15243 22968\n26823 40395\n36458 54844\n28397 42779\n66488 99760\n22326 33662\n12808 19290\n67052 100000\n86092 100000\n97263 100000\n88945 100000\n83880 100000\n3884 5841\n73042 100000\n15681 23632\n71335 100000\n22938 34580\n20391 30747\n41345 62159\n11023 16585\n53184 79798\n85668 100000\n58661 88009\n88592 100000\n13548 20412\n1377 2108\n86615 100000\n6901 10363\n14772 22270\n63982 95965\n43521 65405\n21123 31837\n34391 51731\n18767 28271\n47512 71337\n59567 89371\n89001 100000\n48324 72565\n2751 4163\n19890 29995\n69223 100000\n7518 11296\n71845 100000\n88852 100000\n24253 36573\n1575 2400\n99372 100000\n62570 93850\n86042 100000\n13476 20299\n17571 26476\n12226 18412\n64459 96668\n93282 100000\n47650 71546\n45270 68004\n96927 100000\n26100 39314\n36050 54218\n81794 100000\n72193 100000\n12727 19176\n48730 73166\n9794 14743\n85931 100000\n90257 100000\n68977 100000\n37629 56614\n15324 23087\n11041 16611\n39343 59181\n77613 100000\n39068 58767\n11374 17133\n16612 25035\n85311 100000\n44244 66471\n16689 25152\n91998 100000\n35334 53147\n54416 81646\n92728 100000\n62014 93010\n69203 100000\n81828 100000\n8161 12274\n20026 30199\n2974 4494\n36718 55248\n84064 100000\n85734 100000\n63547 95307\n82195 100000\n81929 100000\n5938 8923\n46896 70424\n66027 99053\n60643 90972\n29703 44734\n80718 100000\n73897 100000\n76281 100000\n3876 5829\n66810 100000\n90539 100000\n60461 90701\n5605 8415\n3642 5488\n34309 51608\n22727 34265\n43006 64637\n76996 100000\n28769 43355\n70075 100000\n73063 100000\n15530 23400\n55527 83299\n7308 10976\n75495 100000\n57155 85716\n75510 100000\n36237 54501\n1902 2894\n91487 100000\n53395 80108\n39093 58802\n47936 71985\n44639 67057\n37667 56669\n31075 46802\n48065 72176\n87503 100000\n74423 100000\n19395 29234\n35873 53958\n11346 17087\n40432 60809\n25703 38719\n72491 100000\n1247 1900\n80473 100000\n42294 63571\n60929 91400\n22374 33734\n49454 74245\n96890 100000\n39679 59686\n34654 52120\n21595 32553\n38456 57858\n22762 34317\n62375 93565\n65686 98530\n84949 100000\n40550 60987\n34482 51864\n6705 10075\n62003 92994\n36882 55500\n94248 100000\n83585 100000\n80672 100000\n1486 2277\n69602 100000\n34928 52540\n88068 100000\n69305 100000\n82660 100000\n21389 32233\n72450 100000\n24964 37617\n8922 13424\n51054 76644\n95409 100000\n46002 69104\n5476 8220\n91940 100000\n76650 100000\n41885 62970\n77395 100000\n98748 100000\n68778 100000\n12138 18281\n69726 100000\n17667 26616\n7571 11378\n89227 100000\n36319 54624\n14215 21426\n77148 100000\n91216 100000\n22590 34062\n66953 100000\n62648 93965\n47340 71085\n541 829\n22560 34009\n20286 30589\n94441 100000\n67607 100000\n33970 51105\n41373 62198\n91350 100000\n95167 100000\n91557 100000\n78958 100000\n52147 78262\n47723 71657\n43227 64970\n82981 100000\n70870 100000\n14432 21760\n8041 12092\n28273 42592\n53776 80688\n68113 100000\n12429 18723\n14560 21947\n66911 100000\n69242 100000\n25100 37826\n18361 27658\n63180 94761\n91075 100000\n45607 68519\n61084 91623\n52360 78577\n13907 20954\n43164 64872\n75117 100000\n5310 7971\n87010 100000\n17555 26454\n3116 4706\n41262 62043\n38048 57245\n39440 59321\n61275 91908\n59886 89857\n50602 75960\n52195 78331\n14522 21894\n9020 13573\n27437 41324\n77798 100000\n78213 100000\n72984 100000\n11354 17100\n26500 39911\n74821 100000\n39424 59297\n94344 100000\n18225 27457\n89673 100000\n40889 61485\n4393 6597\n94668 100000\n69798 100000\n73814 100000\n73276 100000\n65725 98594\n3414 5156\n59742 89636\n37847 56942\n85729 100000\n40594 61051\n59481 89243\n52511 78797\n75453 100000\n22064 33260\n4318 6490\n15262 22996\n18282 27543\n26983 40634\n15300 23054\n51414 77180\n95759 100000\n10373 15615\n58210 87326\n10880 16374\n85360 100000\n55922 83901\n24159 36421\n14372 21659\n18834 28368\n82731 100000\n99199 100000\n86918 100000\n90841 100000\n3466 5237\n23156 34898\n1294 1971\n3900 5863\n33581 50522\n43430 65280\n21181 31918\n34180 51405\n88903 100000\n46396 69689\n79404 100000\n81319 100000\n92438 100000\n60557 90842\n459 704\n35284 53075\n4902 7365\n37680 56688\n87565 100000\n84805 100000\n88854 100000\n52536 78833\n52725 79103\n83047 100000\n94000 100000\n60857 91295\n99832 100000\n12005 18089\n98193 100000\n4868 7314\n22655 34157\n35609 53562\n96287 100000\n95013 100000\n48427 72711\n81733 100000\n42192 63427\n45401 68199\n94094 100000\n40017 60196\n53532 80317\n87977 100000\n11937 17988\n70968 100000\n31975 48147\n44092 66255\n42699 64173\n61363 92034\n80465 100000\n51702 77620\n41294 62088\n97513 100000\n71126 100000\n29492 44416\n45169 67857\n75443 100000\n1837 2797\n9002 13550\n36377 54719\n47339 71083\n45859 68893\n26487 39891\n97250 100000\n2681 4059\n39204 58970\n28626 43134\n49411 74179\n98537 100000\n53464 80210\n11124 16740\n36429 54799\n95198 100000\n8186 12312\n73819 100000\n72655 100000\n64352 96514\n52797 79217\n85721 100000\n37277 56078\n55253 82886\n51040 76622\n75344 100000\n37737 56779\n97913 100000\n9186 13816\n42172 63395\n64963 97442\n48582 72934\n94572 100000\n95820 100000\n90225 100000\n99941 100000\n35320 53124\n58433 87671\n79725 100000\n68812 100000\n7262 10905\n29812 44905\n49784 74730\n62626 93936\n60620 90939\n40587 61040\n48556 72897\n66984 100000\n80590 100000\n36561 55001\n62275 93416\n98381 100000\n74921 100000\n58271 87411\n69393 100000\n40425 60797\n18302 27574\n85026 100000\n49677 74569\n19845 29921\n10128 15252\n51778 77731\n39188 58947\n82071 100000\n62415 93625\n60839 91267\n71584 100000\n82758 100000\n78647 100000\n86667 100000\n78803 100000\n90181 100000\n16127 24304\n84435 100000\n61552 92307\n84579 100000\n51912 77930\n39630 59613\n67569 100000\n35286 53078\n24632 37124\n90702 100000\n8225 12370\n80088 100000\n31372 47242\n14358 21637\n13401 20181\n75513 100000\n56924 85385\n8380 12601\n76971 100000\n35216 52980\n39624 59605\n58494 87759\n65745 98623\n12089 18211\n82716 100000\n71385 100000\n88085 100000\n45807 68818\n18091 27259\n4378 6575\n10270 15461\n11033 16600\n89817 100000\n79619 100000\n14000 21105\n61605 92385\n78343 100000\n41852 62920\n34098 51297\n84736 100000\n31416 47310\n95779 100000\n60824 91248\n36463 54853\n29278 44112\n73520 100000\n11003 16554\n1460 2233\n7003 10513\n91421 100000\n22417 33800\n54883 82337\n4006 6018\n38754 58293\n81903 100000\n1099 1680\n88685 100000\n9200 13835\n64920 97379\n93901 100000\n79859 100000\n70291 100000\n91856 100000\n89477 100000\n98357 100000\n58953 88450\n53041 79581\n64892 97337\n26686 40188\n30572 46050\n83144 100000\n89134 100000\n94953 100000\n24882 37495\n6355 9550\n12475 18795\n96807 100000\n74595 100000\n85810 100000\n43464 65327\n32320 48669\n10758 16194\n27986 42151\n10090 15192\n70435 100000\n48990 73546\n61788 92670\n76026 100000\n16252 24498\n31453 47362\n88761 100000\n56925 85386\n53862 80821\n9633 14503\n95346 100000\n87560 100000\n68930 100000\n78144 100000\n76705 100000\n63142 94705\n14672 22118\n34424 51780\n53530 80315\n30991 46675\n54481 81737\n14139 21313\n51994 78047\n48395 72667\n22812 34391\n67347 100000\n50763 76206\n66181 99292\n56637 84961\n57320 85975\n40619 61086\n56177 84259\n61594 92369\n6064 9120\n45865 68901\n77308 100000\n25301 38121\n17680 26636\n14115 21274\n47007 70588\n74495 100000\n69366 100000\n33357 50198\n89043 100000\n2401 3629\n60942 91419\n81262 100000\n73502 100000\n40042 60230\n92070 100000\n19972 30124\n77079 100000\n32101 48336\n46141 69316\n49663 74549\n95841 100000\n58207 87321\n82302 100000\n97568 100000\n42091 63274\n92888 100000\n88086 100000\n90346 100000\n75382 100000\n97748 100000\n84817 100000\n22556 34003\n66803 100000\n77167 100000\n86299 100000\n1221 1864\n93640 100000\n15392 23184\n24453 36873\n48512 72836\n87557 100000\n61370 92045\n99579 100000\n28458 42876\n93229 100000\n74800 100000\n15307 23063\n3594 5421\n84634 100000\n80586 100000\n61923 92874\n50906 76422\n83371 100000\n14715 22190\n25729 38758\n29239 44051\n19152 28851\n64875 97312\n66383 99607\n96514 100000\n74747 100000\n22185 33450\n22805 34380\n40284 60589\n85126 100000\n4869 7315\n6736 10125\n60266 90414\n89338 100000\n73024 100000\n84652 100000\n52013 78074\n75038 100000\n82529 100000\n52692 79056\n69945 100000\n78348 100000\n50993 76552\n46308 69557\n9634 14504\n9492 14284\n41375 62202\n276 421\n13911 20960\n27010 40674\n19522 29426\n60208 90325\n18489 27855\n262 402\n65834 98761\n81745 100000\n51479 77280\n65533 98301\n43648 65600\n75902 100000\n29532 44477\n72173 100000\n5229 7850\n92369 100000\n58554 87847\n86291 100000\n15162 22845\n22664 34171\n35682 53671\n37410 56287\n89247 100000\n24208 36499\n48061 72170\n29385 44267\n81252 100000\n6446 9687\n90064 100000\n84018 100000\n24299 36643\n37311 56129\n19231 28972\n29758 44822\n60464 90707\n37890 57006\n62245 93370\n87506 100000\n67005 100000\n61302 91948\n9901 14908\n20110 30327\n20599 31068\n19452 29323\n3577 5397\n47726 71662\n40633 61106\n32348 48709\n90948 100000\n7264 10908\n57746 86626\n76292 100000\n14916 22485\n21695 32706\n50210 75368\n33948 51070\n98561 100000\n50125 75240\n71957 100000\n68542 100000\n68110 100000\n31808 47903\n21189 31929\n40953 61579\n85302 100000\n21069 31759\n14160 21342\n33233 50017\n48159 72324\n98634 100000\n88247 100000\n80132 100000\n23098 34815\n68578 100000\n12333 18575\n56992 85477\n10766 16206\n82474 100000\n24719 37257\n39988 60152\n20121 30346\n98292 100000\n45793 68798\n89971 100000\n73973 100000\n24355 36730\n43167 64877\n15199 22902\n94165 100000\n38500 57919\n42480 63844\n98388 100000\n31179 46962\n63217 94815\n17659 26604\n91666 100000\n66334 99534\n39746 59794\n23806 35883\n78644 100000\n38989 58648\n25584 38548\n66960 100000\n25781 38838\n90521 100000\n58898 88364\n68761 100000\n4195 6300\n51448 77231\n12235 18426\n73752 100000\n79286 100000\n11076 16669\n8633 12993\n87839 100000\n74551 100000\n7040 10566\n10999 16547\n8438 12688\n72925 100000\n98080 100000\n88339 100000\n93148 100000\n58759 88163\n72954 100000\n70948 100000\n69022 100000\n48155 72318\n61335 91991\n77309 100000\n29748 44806\n17967 27071\n63656 95468\n31892 48032\n46215 69422\n80580 100000\n48018 72107\n5730 8607\n67922 100000\n71714 100000\n49346 74083\n8807 13256\n85524 100000\n58032 87058\n33891 50985\n96011 100000\n37059 55759\n43900 65978\n81291 100000\n12314 18547\n67585 100000\n10685 16078\n3390 5123\n35807 53859\n21205 31954\n72621 100000\n50900 76410\n36639 55126\n79563 100000\n57870 86811\n5202 7804\n83934 100000\n79020 100000\n68793 100000\n9375 14103\n27673 41678\n55590 83394\n44206 66419\n5773 8677\n83320 100000\n4360 6548\n21673 32671\n92515 100000\n18209 27435\n65775 98672\n77634 100000\n96822 100000\n1413 2166\n79826 100000\n41487 62368\n2453 3706\n99923 100000\n59082 88644\n4289 6445\n76373 100000\n2939 4444\n92784 100000\n98454 100000\n4707 7069\n64414 96603\n37869 56976\n17475 26336\n55422 83140\n19008 28630\n30395 45785\n72342 100000\n92871 100000\n38321 57655\n6747 10142\n8334 12532\n79977 100000\n7683 11545\n78677 100000\n19040 28680\n44712 67166\n88126 100000\n79810 100000\n12318 18553\n52115 78215\n17184 25914\n3307 4996\n15120 22788\n15479 23317\n89826 100000\n76165 100000\n20127 30355\n97674 100000\n48337 72582\n85534 100000\n43081 64747\n83415 100000\n27631 41618\n26888 40495\n74657 100000\n41001 61653\n7819 11751\n86013 100000\n93254 100000\n245 376\n83213 100000\n48902 73420\n30580 46064\n40445 60827\n7436 11173\n15944 24030\n5468 8209\n28487 42916\n53489 80248\n26251 39540\n31695 47746\n53796 80719\n34789 52322\n7843 11789\n90803 100000\n4778 7178\n46941 70492\n29894 45032\n70996 100000\n3500 5289\n7192 10800\n61850 92763\n39812 59894\n40430 60806\n55001 82513\n70836 100000\n88195 100000\n27543 41481\n92757 100000\n38232 57522\n45106 67766\n82708 100000\n66103 99170\n97695 100000\n15821 23852\n26128 39358\n80806 100000\n16343 24636\n7681 11543\n20693 31207\n33440 50318\n62767 94142\n43143 64842\n21176 31910\n6332 9517\n93951 100000\n59764 89670\n2072 3148\n87696 100000\n94201 100000\n92778 100000\n33655 50634\n82355 100000\n27971 42128\n98896 100000\n14403 21712\n3189 4821\n56951 85425\n81937 100000\n68861 100000\n36278 54560\n25491 38411\n88936 100000\n15736 23718\n34837 52397\n33148 49891\n33516 50428\n26660 40147\n88130 100000\n80198 100000\n35783 53823\n44238 66465\n43085 64753\n48680 73084\n40937 61555\n55115 82681\n12351 18604\n43240 64991\n32432 48837\n38320 57654\n21418 32272\n75369 100000\n28183 42452\n60402 90614\n15497 23345\n89359 100000\n58916 88394\n97408 100000\n94149 100000\n87192 100000\n28868 43503\n59140 88730\n9216 13859\n63734 95589\n41012 61668\n73366 100000\n94839 100000\n93334 100000\n21454 32332\n3915 5883\n42146 63362\n33641 50613\n5061 7602\n1540 2348\n15477 23315\n95900 100000\n17841 26883\n8040 12090\n5290 7942\n43186 64908\n12270 18481\n75051 100000\n57275 85901\n70320 100000\n73583 100000\n465 712\n78370 100000\n37224 56001\n82949 100000\n96393 100000\n19294 29074\n4713 7078\n61989 92973\n94499 100000\n9479 14262\n2128 3229\n92026 100000\n34210 51454\n21952 33092\n98285 100000\n1232 1878\n22187 33453\n12371 18636\n56851 85274\n28425 42828\n63132 94689\n30298 45640\n84615 100000\n92015 100000\n2696 4079\n2546 3856\n8211 12349\n64485 96710\n48171 72342\n34450 51822\n38674 58178\n4901 7364\n24830 37418\n30345 45706\n23519 35468\n60842 91271\n47812 71798\n65118 97672\n77650 100000\n52776 79183\n74515 100000\n32518 48970\n24219 36520\n5678 8525\n29970 45145\n90324 100000\n15191 22888\n38703 58220\n64967 97448\n41147 61872\n37663 56662\n36870 55482\n98580 100000\n94414 100000\n40119 60344\n56940 85409\n52310 78507\n76309 100000\n46053 69183\n33794 50847\n65675 98513\n63298 94934\n21121 31833\n73472 100000\n60081 90141\n3493 5280\n65383 98070\n34251 51511\n40575 61022\n21548 32477\n49873 74859\n17015 25651\n36000 54145\n68530 100000\n14024 21136\n58078 87131\n92781 100000\n67292 100000\n56285 84420\n99743 100000\n87524 100000\n88764 100000\n40869 61453\n38431 57820\n31832 47944\n53620 80447\n14299 21555\n34623 52073\n84662 100000\n57392 86092\n8718 13121\n42673 64133\n78238 100000\n18423 27745\n77264 100000\n24250 36568\n45566 68454\n28423 42824\n77193 100000\n70882 100000\n36466 54857\n67094 100000\n55755 83640\n63688 95517\n99767 100000\n60297 90460\n87555 100000\n66613 99950\n69270 100000\n89360 100000\n90793 100000\n99307 100000\n40537 60965\n48602 72964\n10360 15593\n23448 35359\n44209 66425\n44952 67536\n81978 100000\n50008 75056\n46376 69660\n84596 100000\n6961 10450\n25708 38727\n97764 100000\n83018 100000\n65573 98363\n68317 100000\n8170 12287\n72740 100000\n41962 63089\n42788 64307\n33537 50457\n81695 100000\n26461 39851\n56315 84468\n87614 100000\n30198 45488\n55493 83247\n22044 33228\n24937 37576\n40816 61375\n27610 41586\n1765 2686\n72648 100000\n69069 100000\n63607 95399\n30903 46550\n929 1419\n58499 87766\n67910 100000\n5329 8001\n42551 63958\n79876 100000\n3449 5212\n79508 100000\n10301 15510\n74456 100000\n16599 25020\n74129 100000\n13125 19766\n33805 50864\n73287 100000\n40130 60363\n81032 100000\n39416 59287\n27869 41976\n69447 100000\n20326 30643\n54678 82035\n5598 8406\n69055 100000\n10271 15462\n25520 38456\n22794 34365\n30518 45969\n66208 99336\n95355 100000\n51445 77227\n55192 82796\n5371 8068\n5124 7696\n54024 81074\n81586 100000\n36147 54365\n4069 6112\n35911 54012\n43955 66058\n5226 7844\n44384 66679\n33392 50247\n71522 100000\n96497 100000\n13403 20185\n79429 100000\n23090 34804\n65549 98325\n85757 100000\n49100 73707\n56003 84017\n7613 11442\n64879 97319\n12714 19157\n94281 100000\n8608 12955\n78690 100000\n62635 93948\n46663 70084\n84616 100000\n16347 24641\n87818 100000\n32912 49550\n50667 76056\n48442 72733\n36485 54888\n52436 78687\n78418 100000\n46860 70371\n29926 45078\n53527 80309\n13506 20346\n22928 34564\n25690 38697\n68335 100000\n40469 60864\n5792 8706\n60947 91426\n96225 100000\n28484 42911\n44436 66756\n29091 43829\n88487 100000\n92020 100000\n69014 100000\n92500 100000\n89629 100000\n36618 55094\n35875 53962\n88812 100000\n34630 52082\n50361 75602\n32326 48677\n5849 8787\n28308 42646\n97172 100000\n97131 100000\n93899 100000\n88263 100000\n62377 93568\n66163 99267\n96863 100000\n44167 66356\n18174 27379\n95546 100000\n16342 24635\n72009 100000\n53595 80410\n37014 55697\n43432 65282\n1216 1857\n50576 75925\n92610 100000\n15841 23883\n70088 100000\n54886 82341\n23274 35081\n38012 57194\n26246 39531\n48402 72676\n18093 27263\n33260 50060\n96150 100000\n42274 63543\n67118 100000\n59086 88650\n42964 64574\n36437 54812\n81147 100000\n60068 90122\n1506 2303\n50554 75891\n6235 9371\n66980 100000\n35222 52989\n95844 100000\n8309 12493\n55153 82736\n11697 17628\n69210 100000\n30690 46227\n19263 29021\n26621 40080\n36071 54254\n16708 25181\n74218 100000\n5895 8855\n61190 91778\n11627 17520\n73708 100000\n81636 100000\n63772 95651\n78584 100000\n63047 94564\n59034 88569\n9392 14129\n56955 85430\n98396 100000\n75482 100000\n43905 65985\n45591 68493\n12227 18414\n56170 84249\n55103 82663\n21186 31923\n26041 39224\n84795 100000\n97432 100000\n22601 34077\n64222 96332\n38714 58234\n99083 100000\n1058 1614\n65261 97882\n94127 100000\n7180 10783\n58921 88401\n32166 48434\n47790 71764\n64683 97015\n79405 100000\n54309 81490\n27599 41568\n54345 81540\n17864 26920\n57446 86173\n47014 70599\n52830 79263\n19124 28806\n54680 82039\n42177 63402\n70654 100000\n73755 100000\n31472 47393\n62783 94164\n89894 100000\n39443 59326\n22736 34280\n4241 6367\n95243 100000\n99950 100000\n75880 100000\n30021 45223\n77271 100000\n85013 100000\n68119 100000\n44034 66168\n26845 40429\n43952 66054\n70046 100000\n7213 10831\n44253 66484\n85452 100000\n27723 41752\n5041 7574\n18082 27246\n2163 3278\n21075 31767\n96081 100000\n54751 82147\n61414 92110\n56619 84933\n7421 11152\n93510 100000\n58451 87697\n40716 61230\n49259 73955\n37558 56507\n33685 50682\n18672 28130\n31703 47755\n99702 100000\n12262 18469\n62799 94192\n13676 20602\n34088 51282\n12175 18338\n99673 100000\n26085 39290\n47953 72011\n63565 95333\n47313 71042\n72493 100000\n80178 100000\n90797 100000\n50742 76175\n7744 11638\n20648 31139\n47393 71164\n1404 2153\n72168 100000\n25628 38609\n15774 23778\n83444 100000\n59890 89863\n98800 100000\n42357 63661\n5711 8576\n67514 100000\n77683 100000\n51150 76795\n23202 34973\n15407 23207\n4846 7280\n2612 3952\n68229 100000\n60434 90663\n79504 100000\n54016 81062\n61078 91614\n18997 28612\n19772 29812\n87102 100000\n13665 20586\n38302 57627\n43053 64703\n77962 100000\n60524 90796\n45487 68327\n24701 37229\n33568 50502\n7959 11963\n27756 41806\n67424 100000\n99359 100000\n4291 6448\n39377 59231\n81135 100000\n51696 77612\n3408 5149\n94036 100000\n18012 27137\n90196 100000\n31206 46999\n25305 38127\n52496 78775\n94438 100000\n28902 43551\n21448 32321\n69129 100000\n87146 100000\n68015 100000\n45745 68729\n59408 89142\n36122 54327\n53899 80880\n92743 100000\n11539 17386\n67809 100000\n39832 59919\n67899 100000\n55526 83298\n65204 97800\n15679 23630\n31307 47140\n42549 63956\n28445 42859\n78642 100000\n49335 74067\n61676 92498\n10415 15676\n69703 100000\n45002 67611\n58883 88340\n89915 100000\n96037 100000\n3715 5594\n64628 96930\n98535 100000\n46400 69695\n49126 73753\n49318 74042\n86173 100000\n97938 100000\n64552 96816\n72625 100000\n26112 39334\n84791 100000\n84576 100000\n207 316\n6264 9417\n12580 18948\n97640 100000\n54355 81554\n30894 46537\n41670 62645\n79690 100000\n91436 100000\n84712 100000\n75200 100000\n51731 77662\n26155 39395\n30756 46327\n27535 41470\n6177 9284\n3836 5774\n77493 100000\n30272 45596\n40969 61602\n32624 49121\n74857 100000\n71851 100000\n51660 77556\n43715 65705\n71424 100000\n54265 81428\n20158 30402\n7748 11644\n24506 36953\n64333 96487\n63707 95548\n2011 3058\n60925 91393\n41491 62375\n67534 100000\n1649 2511\n90300 100000\n78397 100000\n75149 100000\n64263 96389\n55222 82841\n9975 15016\n67263 100000\n40347 60681\n85651 100000\n86543 100000\n42065 63235\n83443 100000\n47391 71162\n49306 74024\n38893 58502\n88553 100000\n15866 23921\n48508 72830\n25018 37702\n63382 95067\n93072 100000\n99011 100000\n33168 49918\n54183 81311\n74119 100000\n45584 68482\n52381 78604\n7652 11499\n18513 27892\n49514 74336\n20096 30308\n72317 100000\n68288 100000\n60649 90983\n26456 39842\n53302 79966\n22643 34141\n26060 39249\n44562 66944\n64913 97370\n2822 4267\n58850 88296\n9767 14702\n13653 20566\n94722 100000\n78555 100000\n39945 60087\n65171 97749\n99830 100000\n44605 67008\n12764 19228\n72091 100000\n1189 1815\n32740 49289\n29626 44618\n65158 97729\n18476 27836\n51403 77164\n13079 19697\n67021 100000\n14243 21468\n10358 15589\n59640 89480\n29157 43928\n68432 100000\n94089 100000\n52290 78474\n59648 89492\n51753 77698\n55022 82544\n50760 76202\n82738 100000\n94230 100000\n75586 100000\n8809 13259\n5092 7650\n41240 62011\n73982 100000\n59551 89345\n18620 28054\n69788 100000\n63497 95236\n33030 49718\n63282 94913\n36092 54284\n90481 100000\n77275 100000\n6986 10485\n41813 62857\n70367 100000\n95052 100000\n93119 100000\n91024 100000\n75334 100000\n92323 100000\n44444 66765\n15671 23619\n80330 100000\n52340 78549\n85183 100000\n78441 100000\n73796 100000\n71008 100000\n73630 100000\n68360 100000\n98798 100000\n79253 100000\n90635 100000\n1175 1796\n76227 100000\n73134 100000\n75617 100000\n41676 62654\n87553 100000\n96108 100000\n84649 100000\n81880 100000\n72988 100000\n44004 66129\n80915 100000\n7008 10521\n83022 100000\n56928 85392\n31549 47517\n6712 10083\n81052 100000\n32381 48761\n20793 31353\n76443 100000\n27256 41042\n70877 100000\n29597 44576\n17458 26312\n58718 88098\n50548 75882\n38248 57550\n32994 49665\n80689 100000\n16552 24946\n18680 28143\n33465 50355\n37053 55752\n54491 81755\n81325 100000\n23023 34706\n8999 13546\n33154 49897\n89664 100000\n82183 100000\n86754 100000\n92688 100000\n69086 100000\n23883 36000\n5794 8709\n59779 89691\n96853 100000\n78206 100000\n41551 62465\n94351 100000\n41050 61729\n96877 100000\n51626 77506\n72729 100000\n56866 85297\n38702 58218\n94088 100000\n64714 97064\n68057 100000\n7696 11565\n54904 82365\n1664 2535\n66252 99406\n4372 6567\n79838 100000\n28608 43106\n16874 25438\n1131 1729\n92306 100000\n59006 88533\n11461 17266\n95431 100000\n43210 64944\n54858 82303\n52516 78803\n1955 2977\n22706 34235\n54065 81130\n8373 12591\n10101 15207\n30015 45215\n11621 17511\n81125 100000\n33438 50316\n53663 80516\n5966 8968\n57480 86225\n12224 18410\n69380 100000\n63528 95280\n98575 100000\n13632 20535\n37215 55988\n71878 100000\n37519 56452\n17687 26647\n91119 100000\n52098 78190\n11408 17190\n25101 37827\n63694 95525\n46113 69275\n56053 84088\n16467 24815\n44877 67422\n78025 100000\n6185 9297\n14676 22122\n50675 76068\n72019 100000\n62172 93254\n55786 83688\n89309 100000\n73225 100000\n75019 100000\n83067 100000\n85411 100000\n22704 34231\n27574 41529\n1556 2371\n74263 100000\n21711 32732\n93021 100000\n38838 58413\n39232 59012\n59632 89468\n16690 25154\n64270 96397\n27261 41051\n86180 100000\n45751 68739\n36690 55207\n95131 100000\n12765 19229\n44275 66517\n15560 23444\n2227 3375\n12729 19180\n38111 57342\n14579 21975\n87415 100000\n53032 79565\n31321 47159\n72035 100000\n40971 61606\n71589 100000\n50022 75078\n59081 88642\n31389 47268\n77137 100000\n71603 100000\n49934 74946\n28610 43109\n4704 7066\n31978 48152\n49244 73932\n23199 34967\n90654 100000\n49166 73812\n94704 100000\n6944 10425\n81599 100000\n72773 100000\n92860 100000\n19791 29840\n70265 100000\n73252 100000\n50854 76341\n88721 100000\n35326 53134\n85723 100000\n17459 26314\n67355 100000\n83344 100000\n72025 100000\n9401 14146\n23607 35590\n14266 21506\n41728 62729\n98440 100000\n25179 37942\n30000 45191\n94233 100000\n63597 95381\n20212 30482\n744 1144\n71360 100000\n96263 100000\n56710 85070\n19219 28956\n80006 100000\n28444 42857\n40233 60513\n52946 79439\n46195 69394\n93173 100000\n81910 100000\n16307 24582\n4001 6009\n8525 12823\n87562 100000\n80661 100000\n62116 93162\n52118 78221\n47567 71425\n99138 100000\n30135 45397\n58450 87696\n16551 24944\n16351 24646\n50409 75680\n60694 91048\n12241 18437\n73844 100000\n57925 86895\n73467 100000\n1967 2993\n64579 96860\n37327 56155\n91106 100000\n61541 92293\n91865 100000\n58874 88329\n50606 75968\n97892 100000\n93304 100000\n4665 7006\n71668 100000\n68975 100000\n12065 18179\n4099 6153\n21367 32201\n60136 90220\n34129 51336\n30009 45205\n62966 94440\n57730 86606\n1924 2925\n96711 100000\n26282 39585\n17035 25681\n4473 6728\n29383 44264\n55428 83151\n91585 100000\n654 1002\n32360 48729\n11363 17116\n429 659\n1884 2869\n39496 59407\n22267 33574\n15051 22677\n24683 37200\n29137 43896\n64131 96196\n96034 100000\n80187 100000\n11323 17050\n88281 100000\n76982 100000\n95860 100000\n92549 100000\n20905 31519\n21192 31934\n63245 94856\n53653 80500\n70340 100000\n7687 11552\n17177 25902\n15649 23584\n55636 83464\n77883 100000\n34355 51675\n49443 74231\n7110 10676\n86128 100000\n88892 100000\n81356 100000\n15856 23904\n89270 100000\n23705 35737\n20706 31226\n60513 90782\n9775 14713\n19242 28991\n93558 100000\n9184 13814\n94696 100000\n60896 91351\n28803 43407\n13726 20677\n3169 4793\n722 1111\n4272 6414\n12006 18091\n86653 100000\n90516 100000\n97059 100000\n14700 22164\n74989 100000\n81327 100000\n9232 13885\n72273 100000\n67219 100000\n23249 35041\n40579 61029\n46804 70287\n43698 65680\n546 838\n18301 27572\n48943 73476\n31286 47111\n9545 14372\n84702 100000\n45163 67848\n47369 71128\n13858 20877\n74694 100000\n24233 36541\n42698 64171\n94820 100000\n40237 60518\n50168 75304\n51179 76841\n78341 100000\n69676 100000\n52537 78834\n67058 100000\n44157 66343\n57928 86900\n83932 100000\n53012 79537\n62980 94461\n19756 29788\n12348 18599\n59226 88862\n79327 100000\n32192 48473\n98568 100000\n45113 67775\n20551 30998\n66002 99017\n6334 9520\n4587 6895\n74252 100000\n55343 83024\n58591 87901\n11289 17000\n1926 2929\n9386 14119\n18231 27465\n49735 74656\n48312 72547\n89193 100000\n60021 90056\n84173 100000\n30567 46041\n10557 15884\n20153 30393\n37113 55841\n21546 32474\n68434 100000\n16660 25106\n89813 100000\n77265 100000\n8957 13479\n32362 48732\n6739 10130\n34647 52108\n65414 98122\n61619 92406\n34404 51751\n72329 100000\n38576 58029\n17176 25901\n50818 76291\n34924 52533\n31402 47290\n69720 100000\n39023 58695\n2458 3715\n54221 81363\n52878 79337\n22034 33213\n35591 53535\n58622 87948\n74644 100000\n65639 98457\n22154 33404\n12170 18331\n96884 100000\n23529 35482\n16512 24887\n239 368\n89965 100000\n7938 11932\n63242 94851\n95873 100000\n89655 100000\n28247 42552\n21201 31946\n28336 42693\n71215 100000\n81979 100000\n16281 24543\n77051 100000\n87589 100000\n14687 22142\n82636 100000\n11046 16620\n18945 28534\n71925 100000\n50864 76355\n72133 100000\n29322 44177\n54446 81690\n35844 53915\n94845 100000\n25272 38081\n68841 100000\n47173 70834\n54856 82301\n38614 58088\n17868 26925\n71037 100000\n44160 66347\n61032 91548\n50184 75328\n74860 100000\n65978 98982\n48509 72832\n18624 28060\n55901 83868\n27693 41712\n7684 11546\n72728 100000\n58390 87598\n95014 100000\n5775 8681\n49711 74620\n59466 89222\n98916 100000\n79817 100000\n54 87\n77178 100000\n65203 97798\n88225 100000\n48470 72776\n25633 38615\n39553 59491\n81810 100000\n72541 100000\n15796 23815\n45460 68289\n53845 80794\n1137 1737\n8540 12846\n89395 100000\n69603 100000\n91999 100000\n71561 100000\n86942 100000\n33758 50792\n91233 100000\n17101 25784\n56652 84984\n21236 31999\n37996 57170\n6035 9075\n76916 100000\n98166 100000\n73050 100000\n8127 12223\n27394 41260\n60527 90799\n83995 100000\n35860 53937\n46853 70360\n12723 19171\n75045 100000\n41910 63010\n51784 77741\n45359 68142\n53528 80311\n54243 81397\n24013 36201\n95316 100000\n21203 31950\n96022 100000\n1228 1873\n98814 100000\n56088 84134\n57909 86870\n28559 43032\n49078 73678\n19474 29355\n67331 100000\n29946 45108\n95214 100000\n96753 100000\n72198 100000\n66767 100000\n23020 34703\n47760 71716\n81669 100000\n51589 77447\n66470 99731\n96070 100000\n62379 93571\n34945 52567\n30063 45290\n10105 15214\n69709 100000\n26507 39920\n82605 100000\n16119 24292\n96413 100000\n45848 68875\n40720 61236\n50219 75384\n36454 54838\n68618 100000\n64353 96516\n14174 21362\n38176 57439\n6821 10248\n28307 42644\n28005 42176\n31712 47769\n19697 29696\n69916 100000\n34286 51570\n68745 100000\n42400 63729\n7391 11107\n77184 100000\n18800 28320\n95912 100000\n18133 27321\n10234 15404\n37117 55849\n128 192\n68051 100000\n74278 100000\n15752 23744\n14801 22310\n74207 100000\n6743 10137\n85331 100000\n37840 56930\n50015 75067\n74761 100000\n72689 100000\n22449 33848\n76518 100000\n64329 96481\n56388 84588\n93277 100000\n24261 36586\n34347 51664\n39115 58835\n17917 27004\n38770 58320\n61771 92646\n24053 36265\n88439 100000\n62835 94240\n82340 100000\n55631 83456\n60908 91369\n20628 31108\n66952 100000\n50359 75600\n4791 7198\n73177 100000\n4897 7359\n72358 100000\n56855 85279\n75229 100000\n67332 100000\n13347 20097\n95142 100000\n64722 97077\n89356 100000\n23676 35697\n74036 100000\n74274 100000\n14688 22143\n96480 100000\n82554 100000\n60752 91138\n81836 100000\n33117 49845\n49974 75007\n2796 4229\n52238 78395\n65787 98689\n2545 3854\n90600 100000\n74422 100000\n7426 11161\n21850 32938\n54029 81079\n83864 100000\n19670 29655\n60961 91444\n31102 46845\n61349 92012\n7890 11858\n74589 100000\n24001 36183\n24260 36585\n76611 100000\n36778 55340\n26739 40269\n86458 100000\n84569 100000\n10532 15847\n31230 47034\n47983 72055\n48890 73404\n63210 94804\n93192 100000\n72283 100000\n73188 100000\n59539 89326\n58524 87804\n83980 100000\n64543 96803\n44905 67466\n70212 100000\n86187 100000\n4204 6313\n43652 65606\n83576 100000\n83102 100000\n47972 72038\n17587 26501\n28194 42470\n88392 100000\n86026 100000\n573 876\n4800 7213\n56632 84951\n84393 100000\n75020 100000\n35809 53863\n46315 69564\n70847 100000\n98755 100000\n78162 100000\n74518 100000\n68377 100000\n80355 100000\n16750 25242\n73635 100000\n95201 100000\n48489 72804\n57732 86609\n27427 41308\n57236 85841\n61739 92596\n81909 100000\n62735 94095\n57893 86849\n84467 100000\n35900 53997\n39758 59813\n46966 70530\n2818 4261\n90931 100000\n76953 100000\n54944 82425\n53777 80689\n75638 100000\n22378 33740\n92207 100000\n34989 52632\n66148 99243\n75954 100000\n43611 65543\n99731 100000\n74120 100000\n60518 90788\n13014 19596\n91066 100000\n50143 75267\n67036 100000\n25310 38133\n30571 46048\n42311 63595\n61141 91710\n5776 8682\n42978 64597\n94129 100000\n56725 85093\n49823 74786\n43039 64685\n53359 80052\n19337 29145\n33575 50513\n66775 100000\n97839 100000\n49391 74152\n76526 100000\n98203 100000\n89743 100000\n82947 100000\n33705 50714\n85769 100000\n21802 32868\n85269 100000\n87411 100000\n74130 100000\n54827 82259\n79466 100000\n1372 2100\n36209 54457\n70039 100000\n42371 63683\n64646 96957\n86796 100000\n924 1414\n26075 39272\n40258 60549\n55276 82922\n64044 96065\n61147 91720\n76472 100000\n31885 48022\n71190 100000\n95818 100000\n37040 55736\n53046 79589\n18804 28325\n21972 33123\n96678 100000\n62727 94083\n12463 18774\n69235 100000\n74779 100000\n34791 52325\n66361 99572\n25139 37883\n62758 94130\n8013 12047\n14052 21176\n56417 84626\n92759 100000\n47131 70779\n63069 94592\n97893 100000\n59212 88843\n70060 100000\n85500 100000\n52312 78511\n93688 100000\n74102 100000\n33389 50243\n7441 11182\n76679 100000\n9698 14605\n6411 9634\n23542 35498\n48335 72580\n31656 47682\n71649 100000\n85018 100000\n8639 13003\n6914 10384\n57840 86765\n609 935\n35613 53569\n66973 100000\n60981 91471\n72355 100000\n63905 95848\n62836 94242\n86133 100000\n16747 25238\n8958 13481\n23005 34680\n99828 100000\n10718 16128\n69828 100000\n6162 9262\n66168 99274\n94302 100000\n83408 100000\n13841 20851\n24199 36486\n60055 90104\n34332 51642\n63673 95496\n39741 59786\n53296 79957\n72620 100000\n95273 100000\n88187 100000\n98615 100000\n87661 100000\n47951 72009\n8353 12560\n76576 100000\n92560 100000\n6667 10020\n16674 25127\n27311 41128\n20235 30516\n10100 15205\n68597 100000\n48749 73196\n32945 49596\n44328 66594\n29912 45056\n57612 86428\n74118 100000\n43361 65179\n74942 100000\n50044 75112\n61905 92849\n85988 100000\n48534 72868\n99824 100000\n83336 100000\n75704 100000\n60145 90231\n68916 100000\n69663 100000\n35250 53027\n21211 31963\n28739 43310\n44348 66624\n34597 52036\n52347 78559\n54744 82134\n55532 83306\n15354 23129\n64315 96461\n89301 100000\n39783 59850\n86292 100000\n18619 28053\n55243 82870\n46219 69427\n82868 100000\n24606 37088\n20488 30900\n58150 87239\n76037 100000\n3766 5669\n17108 25793\n1971 2999\n57907 86868\n37678 56685\n96823 100000\n22956 34607\n63973 95951\n10048 15131\n35845 53916\n69611 100000\n85251 100000\n87088 100000\n51489 77295\n96881 100000\n74430 100000\n60019 90052\n2840 4293\n69646 100000\n50185 75329\n41200 61950\n63078 94606\n52781 79191\n36563 55004\n93372 100000\n27960 42114\n88556 100000\n66305 99488\n88776 100000\n3180 4809\n83355 100000\n12233 18424\n41597 62531\n63874 95802\n7024 10541\n92406 100000\n20190 30444\n29785 44866\n56604 84910\n35685 53675\n38860 58446\n85817 100000\n13205 19886\n92796 100000\n75837 100000\n4340 6522\n15434 23246\n88162 100000\n80800 100000\n34895 52488\n99763 100000\n21379 32219\n8965 13492\n50088 75181\n38167 57424\n79281 100000\n26376 39726\n67084 100000\n38381 57748\n35281 53071\n86577 100000\n10626 15984\n38842 58418\n95395 100000\n9463 14238\n46506 69852\n66135 99224\n15996 24105\n97618 100000\n30158 45432\n82893 100000\n10029 15099\n27718 41746\n35917 54020\n29384 44265\n24417 36823\n79830 100000\n38064 57272\n65931 98913\n81515 100000\n12943 19484\n12554 18910\n22602 34079\n48997 73555\n26990 40644\n45672 68620\n96057 100000\n63861 95783\n85815 100000\n9218 13862\n44813 67320\n1850 2817\n83841 100000\n59936 89928\n96797 100000\n54372 81578\n12921 19449\n46558 69930\n65863 98804\n46730 70171\n8272 12436\n43116 64803\n20358 30696\n88906 100000\n18986 28592\n62993 94481\n14935 22513\n71253 100000\n17705 26676\n56206 84301\n63060 94580\n40884 61477\n92404 100000\n4321 6494\n77682 100000\n13395 20172\n76831 100000\n73409 100000\n27220 40988\n9583 14431\n61263 91892\n15077 22718\n14323 21585\n23638 35638\n83114 100000\n32193 48475\n35477 53363\n84381 100000\n83655 100000\n60795 91204\n98797 100000\n38466 57871\n88580 100000\n14254 21486\n43431 65281\n75673 100000\n82763 100000\n12127 18264\n93228 100000\n60846 91277\n77944 100000\n81619 100000\n78504 100000\n82793 100000\n39948 60091\n20187 30440\n66663 100000\n59769 89676\n36423 54793\n64364 96528\n54792 82207\n73887 100000\n52358 78573\n99530 100000\n35616 53573\n578 886\n46258 69484\n95673 100000\n49340 74074\n3748 5645\n65126 97683\n86938 100000\n63598 95383\n61024 91537\n28506 42946\n42857 64410\n95093 100000\n10435 15705\n81219 100000\n2470 3733\n35005 52656\n7052 10586\n37861 56962\n99103 100000\n20034 30212\n44117 66290\n72555 100000\n32609 49100\n16348 24642\n65147 97713\n55028 82552\n30635 46141\n72733 100000\n83328 100000\n341 523\n52430 78680\n4988 7491\n47253 70952\n36580 55031\n50433 75716\n87892 100000\n91418 100000\n66391 99617\n11542 17391\n57706 86570\n11818 17809\n43377 65202\n73883 100000\n72900 100000\n14004 21110\n1225 1869\n9539 14364\n15607 23518\n73369 100000\n22755 34304\n95077 100000\n52549 78851\n69900 100000\n63489 95226\n3941 5922\n13610 20501\n86758 100000\n81073 100000\n60763 91154\n90918 100000\n36912 55550\n37949 57103\n84661 100000\n15596 23501\n90014 100000\n97767 100000\n99609 100000\n12933 19467\n64316 96463\n73223 100000\n96931 100000\n1801 2742\n42633 64078\n79037 100000\n33774 50817\n61773 92649\n11728 17677\n82026 100000\n17692 26655\n12787 19259\n54531 81813\n98368 100000\n79852 100000\n1301 1980\n34166 51385\n49527 74354\n15549 23427\n23901 36031\n90185 100000\n64146 96216\n68349 100000\n56297 84439\n84518 100000\n69193 100000\n89487 100000\n92989 100000\n8565 12884\n45007 67618\n75523 100000\n81174 100000\n46689 70119\n14546 21929\n98771 100000\n56609 84916\n3526 5327\n21458 32337\n64294 96433\n9131 13733\n34713 52208\n3569 5384\n58723 88106\n87779 100000\n74407 100000\n47175 70838\n29557 44516\n7226 10850\n72085 100000\n15933 24015\n85671 100000\n82009 100000\n39981 60142\n17471 26330\n52190 78323\n52243 78403\n90650 100000\n66165 99269\n69479 100000\n60435 90665\n29351 44221\n59923 89909\n31317 47153\n88930 100000\n83809 100000\n3993 5996\n14906 22469\n1173 1793\n59298 88973\n17343 26147\n72788 100000\n40375 60722\n56574 84869\n99988 100000\n59611 89438\n49468 74266\n12396 18672\n25957 39097\n63576 95349\n27342 41179\n92076 100000\n2020 3073\n21478 32367\n21750 32791\n96486 100000\n6419 9646\n35478 53364\n79339 100000\n13560 20430\n73221 100000\n23890 36011\n97350 100000\n66244 99392\n55389 83084\n29487 44410\n19430 29290\n96911 100000\n68108 100000\n37268 56065\n10453 15733\n8479 12750\n36568 55012\n43343 65151\n54841 82279\n53080 79646\n95868 100000\n27418 41294\n64530 96783\n84547 100000\n28068 42275\n6966 10457\n22003 33165\n53101 79679\n46968 70532\n46087 69235\n37307 56122\n95098 100000\n56180 84263\n98924 100000\n78465 100000\n69785 100000\n21492 32388\n7501 11270\n97006 100000\n83289 100000\n48531 72864\n83180 100000\n11063 16645\n88614 100000\n35090 52781\n94168 100000\n75233 100000\n58155 87246\n92395 100000\n77940 100000\n73614 100000\n48572 72919\n73402 100000\n23251 35045\n37121 55856\n56489 84734\n75097 100000\n11287 16997\n90592 100000\n69338 100000\n47803 71782\n11765 17732\n24796 37368\n62579 93863\n7119 10687\n20157 30400\n91537 100000\n93083 100000\n67291 100000\n31535 47493\n34728 52231\n49182 73835\n26896 40506\n81043 100000\n41455 62321\n22030 33207\n56397 84599\n84244 100000\n28297 42628\n51569 77416\n89914 100000\n38090 57311\n76999 100000\n36047 54215\n71810 100000\n97385 100000\n91059 100000\n81162 100000\n66293 99468\n39303 59118\n20661 31160\n2747 4157\n48731 73168\n5368 8063\n509 778\n10565 15895\n98793 100000\n46076 69218\n62677 94010\n98283 100000\n75076 100000\n18066 27220\n88163 100000\n26474 39870\n80264 100000\n50382 75634\n95837 100000\n39522 59443\n30699 46241\n52981 79489\n44922 67489\n62798 94191\n39364 59211\n51983 78030\n87351 100000\n93896 100000\n64463 96673\n34495 51884\n11997 18076\n45293 68039\n51149 76794\n2851 4308\n55160 82744\n41376 62203\n14376 21665\n95539 100000\n83039 100000\n55370 83061\n19079 28738\n12271 18483\n20945 31575\n2293 3472\n12742 19199\n43680 65651\n54034 81086\n77030 100000\n84008 100000\n85340 100000\n18490 27857\n16635 25071\n46383 69669\n37216 55989\n59992 90011\n24337 36701\n97872 100000\n55476 83221\n93332 100000\n73344 100000\n57954 86941\n62119 93166\n73958 100000\n64453 96658\n50787 76245\n55794 83700\n30266 45588\n6574 9876\n79517 100000\n92730 100000\n83273 100000\n86833 100000\n66374 99590\n67003 100000\n55811 83724\n34824 52376\n9907 14918\n30347 45710\n63715 95559\n21787 32847\n85303 100000\n86188 100000\n78371 100000\n4571 6873\n19230 28971\n87505 100000\n12335 18578\n10619 15975\n29822 44921\n85902 100000\n69998 100000\n63709 95551\n60834 91261\n48788 73253\n90342 100000\n63284 94915\n16482 24840\n71613 100000\n14191 21387\n98708 100000\n8022 12063\n81932 100000\n24191 36472\n70288 100000\n65529 98296\n6794 10210\n21500 32403\n33742 50767\n63280 94910\n17495 26368\n99945 100000\n14697 22158\n12895 19414\n81857 100000\n46356 69627\n94463 100000\n57880 86829\n3309 4999\n91708 100000\n57173 85746\n67975 100000\n28705 43257\n97840 100000\n59310 88992\n95133 100000\n76718 100000\n82705 100000\n14438 21770\n23365 35226\n60146 90232\n21866 32964\n71547 100000\n81127 100000\n67413 100000\n62908 94351\n36387 54735\n2899 4380\n97213 100000\n93854 100000\n29368 44241\n80290 100000\n67768 100000\n9138 13743\n84908 100000\n88825 100000\n85794 100000\n47147 70803\n19897 30006\n48714 73139\n87460 100000\n79814 100000\n52915 79390\n3963 5954\n91570 100000\n47341 71086\n5443 8173\n15606 23517\n25424 38305\n43986 66104\n68686 100000\n72735 100000\n91925 100000\n39298 59110\n5263 7901\n10170 15310\n94727 100000\n94431 100000\n75320 100000\n18438 27774\n6279 9439\n20473 30875\n73456 100000\n26639 40110\n58 94\n78043 100000\n34567 51992\n86935 100000\n42534 63932\n79891 100000\n35426 53288\n28625 43133\n7480 11241\n69311 100000\n31775 47856\n12771 19237\n13874 20902\n6487 9751\n30918 46573\n79157 100000\n3687 5555\n88291 100000\n94902 100000\n96895 100000\n92227 100000\n13994 21095\n84693 100000\n39774 59834\n50325 75549\n63483 95215\n64775 97161\n76251 100000\n58786 88200\n40676 61171\n90963 100000\n41109 61815\n33397 50256\n9338 14049\n76448 100000\n60216 90339\n28692 43239\n31379 47253\n7145 10728\n94484 100000\n72425 100000\n42403 63734\n91650 100000\n77779 100000\n75214 100000\n42419 63758\n44439 66759\n96356 100000\n73969 100000\n53179 79791\n51032 76611\n25211 37989\n23518 35467\n85173 100000\n46485 69823\n93265 100000\n44932 67504\n58779 88192\n70486 100000\n86600 100000\n44976 67571\n9734 14659\n9738 14663\n6327 9510\n83187 100000\n65431 98146\n68256 100000\n85188 100000\n58735 88124\n28567 43044\n92597 100000\n17792 26811\n10846 16324\n69687 100000\n19486 29373\n10326 15543\n52992 79506\n24553 37017\n52805 79228\n7115 10683\n81303 100000\n50949 76487\n92998 100000\n64703 97045\n52922 79401\n53019 79547\n81477 100000\n82205 100000\n38965 58612\n70489 100000\n51894 77904\n17103 25788\n23116 34841\n32794 49371\n38570 58021\n84052 100000\n66288 99460\n81424 100000\n92706 100000\n79265 100000\n61332 91987\n16803 25330\n62738 94099\n48862 73362\n22632 34127\n89550 100000\n33594 50542\n6418 9644\n32209 48500\n22018 33189\n4524 6807\n37857 56957\n46608 70005\n45302 68054\n21789 32849\n88262 100000\n96446 100000\n97119 100000\n24849 37445\n17697 26663\n17913 26996\n90045 100000\n66397 99628\n16189 24404\n82144 100000\n4570 6872\n65308 97952\n7932 11923\n5412 8125\n81904 100000\n93943 100000\n91334 100000\n9844 14816\n36784 55350\n92492 100000\n17962 27064\n18191 27405\n82027 100000\n67475 100000\n40944 61564\n97040 100000\n80038 100000\n42531 63927\n71118 100000\n4216 6331\n58430 87666\n759 1168\n40557 60997\n76001 100000\n51024 76601\n89492 100000\n48206 72397\n15057 22687\n51770 77719\n3756 5657\n81980 100000\n72379 100000\n74709 100000\n7027 10546\n49995 75039\n9554 14387\n27155 40890\n27408 41282\n61513 92249\n62223 93336\n6796 10212\n67655 100000\n22217 33495\n55738 83616\n30332 45688\n55461 83198\n18177 27384\n98985 100000\n13310 20043\n81159 100000\n62281 93423\n21947 33083\n17417 26256\n8539 12844\n59843 89787\n89113 100000\n76649 100000\n71422 100000\n93289 100000\n84656 100000\n47943 71998\n67121 100000\n92283 100000\n1920 2920\n7049 10581\n11715 17657\n4895 7357\n45981 69074\n50355 75594\n32744 49295\n80426 100000\n31947 48109\n30062 45288\n4166 6252\n3911 5878\n82902 100000\n95815 100000\n9294 13984\n60137 90221\n9882 14877\n55209 82822\n75397 100000\n57611 86427\n817 1257\n37934 57078\n71130 100000\n88300 100000\n71081 100000\n63934 95889\n83697 100000\n19788 29836\n27475 41377\n40108 60328\n25953 39090\n46533 69889\n1717 2616\n55271 82915\n77861 100000\n76407 100000\n2775 4200\n2728 4127\n85243 100000\n5907 8876\n44123 66297\n9962 15001\n29965 45136\n71691 100000\n75374 100000\n82287 100000\n45896 68948\n29972 45149\n71481 100000\n4674 7019\n17382 26202\n20385 30740\n49152 73792\n26301 39612\n93078 100000\n24244 36558\n52379 78601\n90821 100000\n92393 100000\n97630 100000\n37896 57018\n7864 11821\n48226 72423\n63361 95032\n93914 100000\n82207 100000\n71972 100000\n72685 100000\n20513 30937\n34554 51974\n32975 49639\n52917 79393\n15311 23067\n31471 47391\n71041 100000\n53141 79736\n66931 100000\n90558 100000\n76925 100000\n19068 28720\n30683 46216\n68323 100000\n29379 44258\n63261 94880\n97380 100000\n78632 100000\n41709 62702\n77321 100000\n85128 100000\n27258 41045\n41988 63130\n9862 14846\n86929 100000\n50407 75677\n68708 100000\n11530 17374\n19428 29286\n8440 12690\n97706 100000\n1818 2769\n37339 56174\n41879 62962\n60567 90858\n91019 100000\n603 926\n99713 100000\n40923 61534\n82021 100000\n49444 74232\n51870 77866\n59221 88856\n85692 100000\n82384 100000\n78344 100000\n85864 100000\n52164 78286\n77785 100000\n51562 77406\n53332 80006\n93392 100000\n90646 100000\n62176 93258\n18944 28532\n86423 100000\n61137 91703\n26358 39698\n25938 39070\n23597 35576\n30591 46079\n39264 59058\n55724 83595\n10984 16526\n61063 91593\n25664 38657\n11057 16637\n4679 7025\n94470 100000\n88948 100000\n39135 58869\n61932 92886\n84556 100000\n10717 16127\n30503 45948\n18187 27400\n64033 96048\n38852 58434\n41086 61780\n48896 73413\n79364 100000\n86367 100000\n71001 100000\n49049 73634\n8507 12794\n66319 99511\n78090 100000\n52294 78481\n33231 50013\n86511 100000\n2670 4041\n40561 61003\n70730 100000\n56988 85472\n16763 25264\n64409 96598\n75571 100000\n26228 39502\n79376 100000\n52263 78433\n24109 36348\n91342 100000\n52031 78102\n9880 14874\n57628 86454\n98562 100000\n47091 70718\n52256 78422\n21748 32788\n92808 100000\n71985 100000\n93557 100000\n4336 6515\n76261 100000\n66933 100000\n24696 37220\n764 1174\n99596 100000\n67305 100000\n10392 15643\n88469 100000\n68274 100000\n57866 86804\n39871 59976\n23419 35318\n30118 45370\n91206 100000\n99920 100000\n94979 100000\n79820 100000\n75126 100000\n7202 10813\n75853 100000\n46518 69869\n67784 100000\n56151 84226\n28866 43501\n29830 44932\n96203 100000\n13433 20229\n30536 45999\n58360 87551\n57577 86378\n56341 84510\n415 639\n29266 44095\n22083 33289\n26971 40615\n1458 2230\n8530 12830\n40736 61261\n2047 3111\n24116 36361\n53903 80886\n75244 100000\n41231 61997\n41160 61889\n5937 8922\n21274 32057\n65057 97580\n69910 100000\n37583 56542\n91251 100000\n43029 64670\n68485 100000\n87776 100000\n68976 100000\n82877 100000\n92479 100000\n1083 1657\n94827 100000\n31639 47657\n54368 81573\n42430 63773\n50328 75554\n96963 100000\n63989 95976\n50570 75918\n76146 100000\n9309 14008\n6483 9745\n67311 100000\n91997 100000\n81304 100000\n1344 2052\n94633 100000\n46571 69951\n67982 100000\n15144 22818\n48835 73319\n86409 100000\n40303 60617\n68123 100000\n31863 47987\n83305 100000\n83555 100000\n379 581\n92733 100000\n7780 11691\n91411 100000\n63293 94928\n29293 44134\n12096 18221\n17921 27009\n66991 100000\n83800 100000\n25218 37998\n78810 100000\n39149 58891\n25937 39069\n19429 29288\n90419 100000\n35491 53383\n1737 2644\n74764 100000\n7277 10930\n10762 16199\n93461 100000\n42640 64090\n75699 100000\n37654 56648\n74728 100000\n63050 94567\n41468 62342\n81254 100000\n60340 90523\n37349 56190\n28669 43202\n81838 100000\n27263 41053\n1199 1830\n47205 70876\n67349 100000\n92516 100000\n81743 100000\n53240 79876\n3000 4533\n81282 100000\n52283 78464\n22768 34326\n26049 39235\n26092 39301\n925 1415\n22843 34436\n30245 45555\n41573 62497\n65330 97987\n13286 20008\n76346 100000\n63829 95738\n20025 30197\n10193 15344\n72565 100000\n72365 100000\n30946 46615\n98664 100000\n47561 71413\n93724 100000\n70589 100000\n18673 28131\n43635 65579\n3628 5469\n4408 6623\n44495 66840\n29862 44978\n51017 76589\n60465 90708\n25813 38887\n81403 100000\n95429 100000\n54145 81249\n8030 12075\n37208 55979\n71368 100000\n12016 18107\n8555 12870\n47371 71130\n16316 24596\n81337 100000\n16727 25207\n86065 100000\n48565 72908\n46505 69851\n56480 84720\n17719 26698\n21908 33025\n878 1347\n87317 100000\n64813 97215\n65953 98946\n5213 7821\n37324 56150\n61219 91821\n11276 16978\n35184 52933\n63015 94517\n20418 30787\n10754 16189\n15772 23774\n55719 83588\n3716 5596\n93498 100000\n64449 96654\n12708 19148\n58095 87154\n79142 100000\n92923 100000\n1710 2605\n77960 100000\n9280 13962\n94830 100000\n38698 58213\n72885 100000\n27188 40942\n30746 46313\n31925 48078\n29605 44587\n50530 75854\n14862 22406\n39420 59291\n40684 61182\n78890 100000\n96190 100000\n37162 55917\n89052 100000\n34103 51303\n2214 3354\n26939 40566\n23719 35760\n15855 23902\n76815 100000\n8638 13001\n52804 79227\n88275 100000\n24646 37146\n94879 100000\n14091 21238\n8009 12041\n95120 100000\n68191 100000\n37968 57132\n22773 34333\n66512 99796\n23954 36108\n78991 100000\n87454 100000\n90546 100000\n6414 9638\n87632 100000\n29243 44056\n43798 65829\n39885 60000\n17717 26696\n82513 100000\n46167 69353\n74158 100000\n18936 28519\n81635 100000\n32837 49432\n20250 30538\n34679 52161\n78858 100000\n13743 20705\n99427 100000\n33561 50491\n64375 96544\n4993 7497\n38739 58272\n47141 70793\n39599 59565\n39483 59391\n76849 100000\n66821 100000\n28880 43519\n83657 100000\n9696 14601\n15364 23145\n75654 100000\n6952 10437\n49725 74640\n16282 24545\n18892 28454\n77915 100000\n39991 60157\n42466 63823\n72080 100000\n67606 100000\n3995 5999\n41346 62161\n55105 82666\n88019 100000\n96238 100000\n48052 72157\n92435 100000\n80179 100000\n90349 100000\n88151 100000\n70963 100000\n46124 69290\n4183 6280\n22173 33431\n28786 43381\n32575 49050\n84469 100000\n66547 99845\n61314 91962\n16609 25032\n6222 9351\n70561 100000\n35962 54088\n48545 72883\n19110 28786\n68422 100000\n10331 15552\n20538 30976\n48397 72670\n65812 98725\n9497 14294\n6761 10162\n51341 77070\n33099 49820\n22046 33231\n22647 34147\n28242 42542\n68620 100000\n26809 40374\n88121 100000\n63249 94861\n90582 100000\n54023 81072\n99460 100000\n78199 100000\n34944 52565\n80288 100000\n98218 100000\n89482 100000\n19579 29512\n66497 99775\n19806 29862\n22865 34471\n57582 86385\n61148 91722\n57389 86088\n5039 7570\n99140 100000\n75755 100000\n60581 90881\n69188 100000\n45092 67744\n99875 100000\n92952 100000\n29250 44068\n36614 55087\n5557 8342\n89175 100000\n88726 100000\n8561 12877\n1508 2306\n63867 95790\n43301 65085\n31326 47169\n74405 100000\n75074 100000\n83884 100000\n35843 53914\n88356 100000\n51918 77937\n11398 17174\n726 1117\n87745 100000\n72395 100000\n95858 100000\n65836 98763\n96342 100000\n91198 100000\n61403 92091\n49797 74750\n99908 100000\n82166 100000\n91064 100000\n88287 100000\n83362 100000\n94043 100000\n42509 63889\n18160 27359\n82111 100000\n69431 100000\n29330 44190\n31058 46775\n13226 19919\n26519 39938\n48279 72499\n10642 16010\n71352 100000\n37964 57126\n49185 73840\n57631 86459\n79518 100000\n4089 6139\n69325 100000\n95921 100000\n56972 85452\n46317 69567\n26609 40061\n40476 60873\n45140 67812\n46092 69244\n12840 19333\n52897 79363\n88180 100000\n25656 38646\n25718 38741\n97220 100000\n768 1182\n77813 100000\n30662 46185\n37723 56757\n43786 65808\n99410 100000\n73191 100000\n37477 56388\n66966 100000\n65257 97876\n39817 59900\n80360 100000\n66568 99878\n37439 56332\n94272 100000\n10004 15064\n12651 19061\n42002 63148\n52806 79229\n4169 6257\n57137 85690\n94259 100000\n53668 80522\n53673 80530\n72489 100000\n84048 100000\n47343 71089\n87859 100000\n76519 100000\n34494 51882\n96728 100000\n40089 60299\n34063 51246\n91481 100000\n27221 40990\n37555 56504\n66792 100000\n21660 32650\n68890 100000\n35770 53803\n46978 70546\n52229 78379\n92094 100000\n67403 100000\n89296 100000\n43816 65854\n48519 72845\n84931 100000\n56654 84987\n64855 97280\n65711 98570\n76722 100000\n89061 100000\n62215 93323\n29175 43955\n61338 91994\n20992 31645\n93134 100000\n11958 18018\n31298 47128\n71102 100000\n38679 58184\n67999 100000\n4022 6040\n50916 76438\n62463 93696\n52445 78699\n97934 100000\n11002 16552\n73621 100000\n21684 32688\n49462 74256\n69066 100000\n22095 33310\n48352 72603\n36989 55659\n21172 31906\n17567 26470\n1140 1742\n81429 100000\n39311 59128\n33203 49972\n60310 90480\n12230 18420\n64585 96868\n20375 30721\n79933 100000\n76822 100000\n40788 61334\n13266 19979\n94588 100000\n59986 90003\n78777 100000\n77649 100000\n23884 36002\n170 258\n20009 30176\n22015 33184\n67648 100000\n32019 48213\n79027 100000\n68574 100000\n98160 100000\n39801 59878\n98511 100000\n10669 16053\n16795 25318\n99097 100000\n99597 100000\n83073 100000\n49143 73779\n96705 100000\n47658 71560\n85496 100000\n55706 83568\n26619 40076\n90362 100000\n8665 13043\n35970 54100\n61109 91655\n6841 10276\n80246 100000\n39826 59913\n44011 66137\n3543 5349\n78358 100000\n51407 77169\n72768 100000\n56410 84615\n54682 82041\n5172 7762\n15129 22800\n30650 46165\n89594 100000\n96461 100000\n10446 15721\n5384 8087\n27184 40935\n65683 98526\n71962 100000\n58488 87750\n62773 94150\n64230 96344\n46767 70227\n29501 44430\n62466 93701\n1259 1918\n45423 68231\n41350 62167\n93000 100000\n48919 73445\n49560 74398\n63812 95714\n5379 8079\n75522 100000\n37593 56559\n59581 89393\n23659 35671\n84 128\n57147 85706\n2958 4470\n85813 100000\n96220 100000\n82298 100000\n71797 100000\n8405 12643\n30705 46250\n58192 87301\n29359 44231\n28685 43228\n24286 36624\n67793 100000\n94273 100000\n99292 100000\n5960 8958\n9241 13901\n86028 100000\n47392 71163\n35189 52940\n69920 100000\n24969 37627\n13360 20117\n98438 100000\n64576 96855\n28889 43533\n41015 61672\n34314 51617\n15190 22887\n39464 59362\n5751 8645\n44583 66974\n95140 100000\n30433 45843\n13015 19597\n38930 58558\n43241 64992\n38843 58419\n40026 60210\n25121 37854\n40997 61646\n80142 100000\n15116 22782\n81075 100000\n79329 100000\n87856 100000\n47876 71891\n57110 85650\n45191 67890\n29680 44700\n47820 71811\n55779 83677\n62734 94094\n95364 100000\n44344 66618\n87382 100000\n78064 100000\n55429 83152\n71829 100000\n97597 100000\n14529 21902\n53803 80732\n44989 67592\n43568 65479\n28937 43603\n62893 94328\n26415 39783\n37497 56419\n48138 72291\n76864 100000\n40235 60515\n19746 29772\n5242 7868\n79446 100000\n69754 100000\n90625 100000\n88786 100000\n98233 100000\n20611 31084\n6943 10424\n96874 100000\n44531 66894\n11713 17654\n33597 50547\n30222 45524\n13839 20848\n1744 2654\n30967 46644\n60656 90992\n3290 4971\n66045 99082\n87887 100000\n11156 16788\n16166 24366\n93998 100000\n75461 100000\n97816 100000\n13229 19924\n48518 72844\n93629 100000\n59038 88576\n8338 12538\n71796 100000\n4339 6521\n3316 5011\n82321 100000\n42372 63685\n8693 13082\n34729 52233\n12962 19513\n77320 100000\n16176 24384\n57164 85731\n84240 100000\n78770 100000\n79408 100000\n24956 37607\n25809 38881\n84565 100000\n11639 17537\n52087 78175\n5047 7584\n13020 19603\n74484 100000\n91127 100000\n14989 22590\n70008 100000\n78675 100000\n91446 100000\n76250 100000\n89518 100000\n83615 100000\n26531 39953\n26293 39601\n71323 100000\n5223 7838\n78978 100000\n34171 51392\n41275 62061\n34794 52330\n60086 90148\n99911 100000\n47709 71633\n60521 90791\n31799 47891\n14627 22049\n49754 74685\n42578 63999\n91895 100000\n2494 3772\n61718 92561\n45310 68067\n55593 83398\n20294 30599\n93705 100000\n40160 60402\n54702 82073\n62426 93641\n22803 34377\n23655 35665\n57314 85965\n74420 100000\n79719 100000\n57814 86724\n33821 50886\n62278 93419\n30530 45990\n3159 4776\n54664 82016\n1366 2089\n21330 32145\n54758 82159\n38900 58512\n15088 22734\n82040 100000\n30287 45622\n37765 56823\n91625 100000\n13894 20933\n4061 6099\n15988 24091\n30653 46171\n83928 100000\n23569 35537\n63315 94963\n63663 95480\n87071 100000\n1066 1627\n90878 100000\n27788 41858\n40344 60676\n67358 100000\n21727 32754\n68369 100000\n68268 100000\n43983 66098\n11012 16570\n21843 32926\n75136 100000\n40228 60506\n50134 75254\n62486 93727\n14602 22011\n99898 100000\n76900 100000\n76214 100000\n23446 35356\n13598 20484\n42904 64480\n78539 100000\n96778 100000\n61892 92829\n26852 40440\n97065 100000\n85629 100000\n34167 51386\n32430 48834\n84039 100000\n39296 59106\n67526 100000\n83065 100000\n97778 100000\n74060 100000\n88042 100000\n86783 100000\n73509 100000\n55668 83510\n50500 75811\n88607 100000\n97353 100000\n70361 100000\n60979 91469\n54754 82152\n88846 100000\n18004 27125\n27614 41593\n36407 54767\n11075 16667\n27021 40690\n29100 43843\n28791 43388\n94758 100000\n51442 77224\n16493 24856\n46892 70420\n56395 84596\n4032 6056\n63885 95820\n45524 68384\n97306 100000\n34781 52312\n29367 44240\n33877 50965\n63146 94711\n50997 76559\n79617 100000\n23330 35175\n63811 95713\n83192 100000\n17782 26795\n68321 100000\n52827 79258\n97929 100000\n84667 100000\n72841 100000\n18700 28173\n66858 100000\n2272 3441\n6353 9547\n91246 100000\n72066 100000\n23755 35808\n13546 20409\n19769 29807\n50869 76365\n82632 100000\n70401 100000\n10185 15331\n29065 43793\n11595 17474\n22741 34286\n55677 83522\n31755 47828\n40480 60877\n45117 67780\n82263 100000\n50522 75842\n58798 88220\n28051 42247\n80318 100000\n59750 89647\n9631 14499\n6329 9513\n88315 100000\n57076 85601\n43392 65225\n62293 93442\n52012 78072\n88362 100000\n50209 75367\n17988 27102\n43737 65736\n20578 31038\n23885 36003\n88618 100000\n97486 100000\n30551 46018\n18498 27869\n58965 88468\n96544 100000\n52082 78168\n29504 44434\n95437 100000\n3966 5959\n68233 100000\n58902 88370\n77096 100000\n9041 13605\n91174 100000\n25765 38814\n96805 100000\n28346 42709\n71007 100000\n52730 79109\n97757 100000\n33253 50049\n12015 18106\n7415 11144\n80062 100000\n18592 28010\n6004 9024\n6938 10418\n47401 71174\n25084 37804\n55499 83255\n32371 48745\n51948 77982\n99415 100000\n63814 95717\n80880 100000\n36694 55214\n61421 92120\n80285 100000\n8428 12676\n80886 100000\n87725 100000\n29479 44398\n21328 32141\n24274 36605\n50129 75245\n88061 100000\n69392 100000\n10455 15735\n65844 98777\n89695 100000\n88202 100000\n29426 44321\n42924 64509\n85200 100000\n74439 100000\n26708 40223\n21730 32757\n13914 20965\n17436 26283\n91615 100000\n12602 18986\n15105 22763\n93341 100000\n73057 100000\n169 256\n26484 39887\n4785 7188\n54837 82272\n75338 100000\n93283 100000\n97983 100000\n99386 100000\n52387 78615\n879 1349\n18609 28036\n47880 71895\n96194 100000\n70966 100000\n50121 75233\n96230 100000\n9150 13765\n58800 88223\n85004 100000\n58819 88250\n43901 65979\n6656 10005\n71405 100000\n48382 72649\n87047 100000\n71890 100000\n16664 25112\n8171 12289\n55249 82880\n54989 82495\n95916 100000\n14920 22490\n33262 50062\n35863 53940\n63020 94523\n35666 53650\n27358 41204\n69416 100000\n47156 70813\n69797 100000\n78079 100000\n89259 100000\n76248 100000\n24550 37012\n96474 100000\n58655 87999\n25963 39106\n13072 19685\n71884 100000\n28128 42367\n58194 87303\n11602 17483\n88847 100000\n15069 22706\n23693 35721\n87338 100000\n31983 48159\n69705 100000\n35990 54129\n22351 33699\n762 1172\n47367 71126\n82332 100000\n78469 100000\n65949 98940\n48966 73510\n86781 100000\n71912 100000\n65000 97493\n25291 38106\n26651 40131\n28328 42678\n94069 100000\n55513 83279\n64000 95993\n37297 56108\n53951 80963\n19102 28774\n29874 44999\n84898 100000\n87805 100000\n81007 100000\n66104 99172\n89373 100000\n86522 100000\n96638 100000\n11484 17303\n58153 87243\n18982 28585\n98014 100000\n4894 7356\n7392 11108\n42974 64591\n88836 100000\n44825 67338\n8014 12049\n44383 66677\n83529 100000\n20309 30620\n18085 27249\n35335 53149\n10845 16323\n24470 36901\n5219 7831\n17998 27118\n55810 83723\n2753 4166\n58706 88078\n53318 79987\n97193 100000\n94446 100000\n54033 81085\n44356 66634\n12342 18590\n13589 20472\n95490 100000\n60169 90266\n73291 100000\n79641 100000\n46667 70090\n14146 21322\n45035 67658\n6845 10282\n73870 100000\n98691 100000\n31909 48057\n35479 53365\n88732 100000\n85363 100000\n7736 11627\n38170 57429\n16987 25609\n54164 81280\n24039 36244\n11928 17975\n63975 95954\n51304 77014\n64307 96450\n36837 55429\n97102 100000\n74655 100000\n92001 100000\n31407 47296\n95443 100000\n83875 100000\n380 583\n98477 100000\n36571 55017\n69198 100000\n61074 91609\n35800 53848\n67512 100000\n43338 65141\n83250 100000\n15020 22634\n32576 49052\n32309 48653\n94596 100000\n51979 78023\n84670 100000\n10975 16514\n15958 24048\n69387 100000\n77339 100000\n32214 48509\n71328 100000\n79884 100000\n71417 100000\n85719 100000\n97822 100000\n75883 100000\n99775 100000\n64476 96696\n50661 76045\n92926 100000\n26386 39740\n14509 21871\n7371 11073\n72276 100000\n15309 23065\n32237 48543\n40243 60524\n82511 100000\n31534 47491\n12482 18807\n20533 30968\n131 198\n60457 90696\n49365 74107\n19375 29203\n41651 62618\n84911 100000\n2452 3704\n57109 85649\n94824 100000\n54116 81208\n31980 48155\n27313 41132\n31197 46986\n26897 40507\n22932 34572\n17583 26493\n15577 23472\n3556 5369\n18214 27441\n51057 76648\n62005 92997\n47333 71075\n68141 100000\n90572 100000\n53718 80601\n39277 59077\n21945 33081\n55297 82958\n1643 2502\n19320 29118\n98918 100000\n45162 67846\n34412 51762\n76892 100000\n77865 100000\n63976 95956\n15903 23973\n9303 13999\n41923 63026\n75102 100000\n40104 60321\n19112 28789\n19132 28817\n65898 98861\n86331 100000\n86721 100000\n16396 24712\n61431 92132\n16400 24720\n32643 49146\n11709 17648\n46165 69350\n27575 41530\n91227 100000\n14255 21488\n20571 31028\n3632 5474\n92522 100000\n55043 82572\n74920 100000\n24765 37323\n23062 34766\n47788 71760\n80346 100000\n74864 100000\n10519 15827\n7629 11467\n33373 50220\n32003 48187\n7061 10601\n65349 98017\n84297 100000\n18904 28471\n96553 100000\n5965 8966\n14732 22212\n1481 2270\n63554 95317\n59498 89268\n63324 94976\n52625 78966\n47277 70990\n73954 100000\n23898 36025\n85664 100000\n19565 29490\n31199 46990\n34721 52220\n75355 100000\n58090 87147\n30127 45384\n2098 3185\n2914 4405\n68849 100000\n11027 16591\n7458 11206\n41385 62216\n17832 26872\n988 1509\n11302 17020\n95676 100000\n20379 30729\n56076 84119\n6847 10284\n12165 18323\n3432 5186\n99484 100000\n26000 39158\n25634 38617\n98330 100000\n14543 21925\n82556 100000\n37372 56227\n86356 100000\n87196 100000\n79402 100000\n45613 68530\n85391 100000\n13076 19692\n80921 100000\n96398 100000\n55595 83402\n97189 100000\n86390 100000\n63882 95815\n59979 89990\n1770 2695\n29030 43739\n58408 87630\n77059 100000\n35983 54120\n88940 100000\n9842 14813\n62120 93168\n3366 5087\n41748 62757\n50379 75628\n77232 100000\n97315 100000\n28170 42431\n36607 55074\n48011 72095\n31469 47388\n5246 7874\n32795 49373\n44916 67481\n69716 100000\n44788 67279\n43146 64847\n69985 100000\n52590 78915\n31774 47855\n524 801\n69217 100000\n27733 41766\n66537 99832\n3205 4845\n33562 50493\n71343 100000\n5862 8806\n67605 100000\n58238 87366\n4424 6650\n73365 100000\n85997 100000\n39926 60062\n65379 98064\n73136 100000\n92084 100000\n81655 100000\n23816 35899\n62557 93830\n17068 25732\n8085 12159\n21473 32359\n10838 16313\n88960 100000\n93938 100000\n49977 75011\n75294 100000\n4726 7098\n72063 100000\n39101 58815\n64676 97002\n80752 100000\n79136 100000\n8770 13197\n720 1108\n59998 90020\n95794 100000\n25704 38720\n56550 84832\n25062 37772\n30773 46357\n95883 100000\n47837 71835\n96188 100000\n84564 100000\n15722 23695\n10058 15147\n44563 66946\n96395 100000\n69352 100000\n58405 87624\n51751 77696\n13938 21009\n82720 100000\n99683 100000\n29438 44339\n48001 72080\n26944 40573\n39802 59879\n97909 100000\n54068 81135\n77904 100000\n90850 100000\n21378 32218\n70686 100000\n30436 45846\n5222 7836\n90476 100000\n76469 100000\n7947 11947\n85125 100000\n77348 100000\n75422 100000\n2496 3775\n1425 2183\n8925 13428\n8288 12460\n94481 100000\n90693 100000\n60912 91373\n35902 53999\n51037 76617\n73568 100000\n77457 100000\n92758 100000\n86360 100000\n64615 96910\n55225 82845\n40942 61562\n84893 100000\n52093 78183\n18443 27781\n42988 64613\n70172 100000\n72416 100000\n4855 7294\n58129 87206\n11410 17193\n68153 100000\n35643 53617\n75131 100000\n47460 71260\n70652 100000\n3332 5037\n48194 72380\n92966 100000\n79181 100000\n55681 83529\n71479 100000\n84446 100000\n71656 100000\n59628 89461\n23562 35528\n70989 100000\n86357 100000\n40995 61642\n45842 68867\n33989 51133\n82588 100000\n67128 100000\n28505 42944\n14503 21864\n89751 100000\n87108 100000\n17048 25702\n9165 13785\n79479 100000\n8102 12185\n84336 100000\n63215 94813\n35226 52993\n80756 100000\n70990 100000\n31673 47710\n5940 8927\n35765 53796\n8933 13442\n93636 100000\n34637 52093\n8989 13531\n28164 42423\n27411 41285\n28062 42264\n81848 100000\n64322 96472\n58974 88481\n11590 17466\n32708 49245\n2871 4336\n84540 100000\n51409 77172\n36652 55145\n68034 100000\n83665 100000\n18429 27757\n4281 6429\n67141 100000\n5122 7694\n34401 51746\n41518 62417\n17217 25963\n87307 100000\n21797 32861\n62113 93156\n23687 35713\n76870 100000\n88245 100000\n84166 100000\n69762 100000\n17773 26783\n79636 100000\n44493 66838\n42191 63425\n41201 61952\n91234 100000\n60779 91181\n77673 100000\n19439 29305\n81028 100000\n65737 98612\n69547 100000\n87579 100000\n76810 100000\n32530 48986\n6610 9932\n63687 95516\n1211 1850\n23470 35395\n25710 38731\n54773 82180\n86767 100000\n95402 100000\n73092 100000\n41775 62798\n72098 100000\n15858 23908\n95366 100000\n39047 58732\n74193 100000\n42256 63520\n81422 100000\n82490 100000\n46403 69699\n97951 100000\n87827 100000\n81578 100000\n44638 67056\n39309 59125\n60441 90675\n5717 8585\n88919 100000\n40388 60741\n39603 59571\n34972 52607\n81113 100000\n27787 41856\n62298 93450\n11850 17858\n301 460\n86836 100000\n52030 78100\n72439 100000\n33953 51079\n83334 100000\n66756 100000\n13463 20281\n5501 8256\n17208 25949\n39466 59365\n43517 65399\n11756 17721\n22507 33934\n94213 100000\n43547 65448\n80393 100000\n41327 62136\n66381 99604\n33294 50107\n40801 61354\n83644 100000\n29665 44676\n37019 55704\n85048 100000\n91440 100000\n28488 42917\n4672 7016\n44868 67408\n97372 100000\n38568 58017\n79283 100000\n42427 63769\n56109 84167\n55317 82988\n44539 66906\n15215 22924\n54860 82306\n88986 100000\n29373 44249\n25654 38643\n70234 100000\n20827 31405\n4655 6992\n60112 90183\n17157 25874\n21512 32421\n84544 100000\n2037 3098\n64645 96955\n41241 62013\n64589 96873\n59768 89675\n16594 25012\n49880 74870\n72504 100000\n76080 100000\n34772 52298\n83169 100000\n47424 71210\n38737 58270\n90227 100000\n56875 85309\n31392 47273\n87602 100000\n77347 100000\n31203 46996\n86678 100000\n81187 100000\n80640 100000\n23321 35162\n33993 51140\n97720 100000\n92729 100000\n22544 33986\n96538 100000\n35019 52676\n46685 70115\n62504 93753\n46732 70174\n37145 55891\n24091 36320\n17201 25939\n79468 100000\n10317 15532\n86343 100000\n32634 49135\n18671 28129\n35893 53987\n86222 100000\n92302 100000\n76153 100000\n50673 76065\n76316 100000\n37017 55702\n9887 14885\n65729 98600\n84075 100000\n66640 99992\n7139 10719\n92779 100000\n44778 67267\n49511 74333\n43359 65175\n87171 100000\n13865 20889\n51686 77596\n34780 52311\n22197 33468\n63911 95857\n10184 15329\n98629 100000\n55190 82793\n69040 100000\n21139 31861\n73180 100000\n25918 39040\n55124 82695\n66824 100000\n59337 89037\n44767 67252\n72681 100000\n32449 48864\n46585 69971\n33573 50509\n12431 18726\n27154 40888\n95181 100000\n41342 62156\n33167 49917\n26743 40277\n47814 71801\n37488 56404\n48709 73132\n9072 13650\n16537 24922\n76243 100000\n2087 3168\n79634 100000\n64837 97253\n46050 69178\n14485 21837\n48356 72608\n32286 48616\n54649 81994\n54132 81230\n16592 25008\n46548 69913\n5319 7984\n3880 5836\n34041 51214\n96557 100000\n30016 45217\n15436 23249\n47472 71275\n57604 86416\n4747 7129\n51786 77743\n12620 19015\n55129 82704\n16834 25375\n77582 100000\n85834 100000\n10541 15859\n13168 19832\n33193 49955\n96412 100000\n24873 37481\n46012 69117\n88059 100000\n37134 55874\n89722 100000\n61215 91814\n21509 32417\n6384 9591\n55295 82954\n65690 98536\n9176 13800\n53201 79819\n19473 29353\n81237 100000\n41943 63060\n49694 74595\n67429 100000\n57855 86787\n7581 11392\n43963 66069\n78116 100000\n44374 66663\n38422 57807\n64735 97100\n30792 46384\n81045 100000\n653 1001\n18978 28580\n51305 77016\n39939 60078\n78338 100000\n26435 39810\n73596 100000\n57966 86960\n80053 100000\n44804 67306\n32531 48987\n85318 100000\n96046 100000\n37058 55757\n87730 100000\n95219 100000\n68084 100000\n97801 100000\n20712 31236\n84206 100000\n36193 54434\n65461 98188\n3638 5482\n24131 36381\n76856 100000\n62690 94029\n1286 1958\n61970 92940\n88211 100000\n23561 35527\n15007 22616\n31394 47276\n53260 79904\n97311 100000\n85009 100000\n55070 82615\n92909 100000\n52005 78063\n1478 2264\n538 824\n58385 87591\n60715 91081\n4730 7104\n23917 36053\n49342 74078\n80860 100000\n20721 31249\n60258 90402\n92547 100000\n62335 93503\n39291 59097\n12593 18969\n16956 25564\n52749 79142\n90919 100000\n87529 100000\n44179 66372\n36401 54757\n84458 100000\n27292 41100\n21050 31730\n70252 100000\n27426 41306\n70255 100000\n99879 100000\n80010 100000\n71338 100000\n5001 7508\n6882 10338\n77032 100000\n59410 89144\n96152 100000\n22644 34143\n96033 100000\n11696 17627\n27019 40687\n30529 45988\n23942 36090\n86178 100000\n31171 46950\n21989 33144\n20276 30576\n4940 7420\n24386 36777\n99696 100000\n98168 100000\n69562 100000\n54069 81137\n73170 100000\n85801 100000\n68130 100000\n80248 100000\n53275 79927\n18961 28558\n42422 63763\n1965 2990\n23011 34690\n96122 100000\n50881 76382\n68442 100000\n57864 86800\n90294 100000\n73182 100000\n49895 74891\n70524 100000\n17443 26293\n62906 94347\n98284 100000\n17625 26557\n54545 81833\n56129 84196\n96102 100000\n57780 86677\n22650 34152\n73664 100000\n47795 71771\n60887 91337\n57963 86956\n18777 28284\n58711 88087\n59951 89949\n64808 97207\n78969 100000\n52175 78302\n52401 78639\n86020 100000\n6502 9775\n10000 15057\n88803 100000\n36711 55237\n1369 2095\n55826 83747\n79346 100000\n35153 52881\n16008 24122\n90759 100000\n73983 100000\n47586 71452\n21119 31830\n64709 97055\n88837 100000\n66731 100000\n70390 100000\n62606 93904\n7320 10996\n94476 100000\n83508 100000\n26622 40082\n55196 82801\n15005 22613\n38784 58338\n34026 51191\n44025 66158\n19130 28813\n54207 81344\n30673 46201\n28528 42978\n43686 65660\n23528 35481\n96341 100000\n92318 100000\n14322 21584\n14233 21453\n61110 91656\n70660 100000\n8916 13415\n7255 10894\n49759 74694\n48362 72618\n65006 97503\n78697 100000\n22686 34205\n89331 100000\n28695 43244\n92471 100000\n66073 99127\n53128 79714\n99413 100000\n94420 100000\n16225 24459\n51220 76894\n10307 15518\n76491 100000\n57721 86590\n25968 39112\n55 89\n26822 40394\n61296 91940\n13166 19828\n21541 32467\n76056 100000\n95648 100000\n58790 88206\n98516 100000\n85129 100000\n35852 53926\n61531 92276\n60573 90868\n2257 3418\n30969 46646\n46120 69284\n23471 35397\n51289 76993\n16013 24131\n89494 100000\n80305 100000\n38661 58160\n46416 69719\n34089 51283\n10839 16314\n5038 7569\n86877 100000\n90325 100000\n28598 43090\n36282 54566\n44016 66145\n5052 7593\n66143 99235\n97411 100000\n87004 100000\n81049 100000\n2846 4301\n15406 23205\n24066 36284\n73842 100000\n137 207\n96455 100000\n77354 100000\n18921 28495\n24406 36804\n83527 100000\n95251 100000\n1963 2987\n2224 3370\n82124 100000\n60407 90620\n91906 100000\n10220 15381\n56834 85248\n37047 55746\n5818 8743\n35557 53482\n22991 34659\n74543 100000\n31177 46958\n33649 50625\n3774 5683\n5456 8193\n20723 31251\n92644 100000\n81641 100000\n65334 97994\n94067 100000\n70414 100000\n20969 31613\n40454 60842\n10062 15152\n25002 37678\n7875 11836\n58441 87681\n39627 59610\n30743 46309\n10050 15133\n5844 8781\n9709 14622\n8482 12755\n24188 36467\n39077 58780\n458 703\n25750 38788\n29313 44164\n53476 80229\n66651 100000\n87992 100000\n13782 20764\n97365 100000\n98626 100000\n67661 100000\n88476 100000\n73244 100000\n56437 84655\n48621 72993\n50786 76244\n73934 100000\n9577 14424\n22488 33907\n23060 34763\n56232 84341\n324 497\n94173 100000\n94547 100000\n53607 80429\n57312 85961\n5193 7792\n1423 2180\n67168 100000\n19175 28884\n23897 36023\n79787 100000\n13554 20421\n6122 9202\n55710 83574\n13481 20307\n72665 100000\n55505 83264\n49062 73653\n21095 31796\n57891 86846\n38499 57918\n78988 100000\n28904 43554\n21120 31831\n10265 15453\n93469 100000\n19423 29279\n14524 21896\n16988 25610\n81790 100000\n65974 98976\n21324 32135\n20724 31252\n24362 36739\n67026 100000\n39831 59918\n49446 74235\n8819 13276\n56904 85354\n42902 64476\n71304 100000\n50003 75050\n11667 17580\n35376 53211\n47326 71065\n87913 100000\n41801 62841\n46570 69950\n28376 42748\n98178 100000\n30459 45883\n89123 100000\n28687 43232\n52353 78566\n84644 100000\n67847 100000\n80122 100000\n36520 54937\n21861 32955\n96286 100000\n59510 89285\n73486 100000\n78939 100000\n44101 66267\n36288 54576\n2292 3471\n17039 25687\n15728 23703\n33571 50507\n95320 100000\n45570 68460\n45472 68305\n82028 100000\n50889 76394\n41095 61793\n86053 100000\n38745 58280\n33028 49715\n92596 100000\n11757 17722\n75877 100000\n10896 16398\n18752 28250\n68981 100000\n96251 100000\n52242 78401\n60954 91436\n95343 100000\n33570 50505\n2685 4063\n10745 16175\n74826 100000\n86387 100000\n75735 100000\n39637 59625\n52375 78595\n39598 59564\n71703 100000\n34440 51805\n91726 100000\n72478 100000\n3591 5416\n6243 9383\n41019 61678\n20148 30387\n86239 100000\n8992 13536\n69269 100000\n29332 44194\n43297 65079\n71510 100000\n33992 51138\n1197 1827\n96586 100000\n9665 14552\n82385 100000\n3165 4786\n69360 100000\n26343 39677\n3656 5508\n66209 99337\n21451 32326\n31795 47885\n84329 100000\n50101 75200\n57618 86437\n18771 28277\n50367 75611\n21171 31905\n38722 58247\n13910 20958\n35317 53121\n90783 100000\n45405 68204\n83828 100000\n14059 21187\n70822 100000\n9491 14283\n80845 100000\n32999 49673\n54846 82287\n87421 100000\n71871 100000\n92179 100000\n46098 69252\n56135 84205\n96003 100000\n41069 61757\n61535 92283\n59191 88810\n55272 82917\n99094 100000\n17608 26534\n44247 66475\n4460 6707\n38559 58003\n11175 16816\n42849 64397\n9013 13563\n61038 91557\n36314 54618\n83453 100000\n67031 100000\n52653 79001\n31693 47742\n33347 50184\n53632 80465\n20395 30753\n7749 11646\n31088 46822\n55935 83919\n11758 17723\n89275 100000\n11685 17610\n56793 85187\n52654 79003\n14310 21567\n84665 100000\n98703 100000\n78412 100000\n87103 100000\n81662 100000\n45433 68247\n71056 100000\n85002 100000\n55403 83107\n66631 99979\n13971 21059\n81683 100000\n30377 45756\n36684 55197\n13345 20094\n18846 28384\n54377 81586\n25911 39030\n8607 12953\n32313 48658\n62920 94369\n10191 15342\n91519 100000\n68518 100000\n51766 77714\n18339 27631\n31320 47157\n49595 74450\n3834 5772\n85397 100000\n34306 51603\n36895 55522\n3353 5068\n58204 87317\n21590 32545\n3616 5451\n87705 100000\n62483 93723\n72931 100000\n22510 33939\n9056 13628\n59658 89505\n17457 26311\n60606 90919\n94787 100000\n41249 62024\n48259 72470\n87459 100000\n24477 36912\n33295 50108\n63232 94835\n35092 52785\n60809 91225\n32674 49195\n6501 9773\n41805 62846\n90701 100000\n41244 62018\n47094 70724\n30907 46555\n85087 100000\n71742 100000\n57562 86351\n11754 17718\n70053 100000\n23369 35234\n21472 32358\n29152 43920\n57996 87006\n89253 100000\n46553 69921\n33898 50996\n74267 100000\n74881 100000\n57658 86498\n79101 100000\n78393 100000\n11304 17022\n25134 37874\n38758 58299\n86690 100000\n59387 89115\n18484 27848\n75305 100000\n49978 75012\n64768 97152\n14363 21644\n53166 79770\n76511 100000\n34979 52617\n13363 20121\n94497 100000\n48711 73135\n70309 100000\n22784 34350\n74833 100000\n30196 45485\n19589 29529\n83466 100000\n31004 46695\n40947 61569\n64820 97226\n56218 84322\n32685 49214\n56715 85077\n12452 18760\n27156 40892\n31263 47079\n63102 94646\n94786 100000\n90187 100000\n60773 91173\n82042 100000\n57790 86693\n82143 100000\n31502 47443\n64658 96974\n71269 100000\n63664 95481\n81693 100000\n90422 100000\n73073 100000\n8399 12631\n64521 96769\n20788 31345\n62776 94155\n36068 54250\n39900 60022\n91266 100000\n45016 67631\n62136 93197\n76406 100000\n40629 61100\n88115 100000\n51430 77203\n13389 20164\n50607 75970\n85003 100000\n4004 6015\n58611 87934\n2874 4341\n99207 100000\n79141 100000\n58065 87110\n48908 73428\n41065 61752\n76894 100000\n22503 33928\n86168 100000\n31732 47797\n74003 100000\n97335 100000\n58358 87548\n21782 32839\n90960 100000\n45253 67978\n68591 100000\n19611 29566\n37745 56790\n133 201\n44889 67443\n6937 10417\n30617 46114\n52989 79500\n76483 100000\n99846 100000\n61079 91616\n88082 100000\n2091 3175\n96985 100000\n30441 45855\n74408 100000\n19619 29576\n26236 39511\n2146 3253\n95593 100000\n37421 56304\n71377 100000\n25914 39035\n76510 100000\n66396 99627\n66577 99892\n89544 100000\n52017 78080\n86982 100000\n17770 26780\n94624 100000\n37112 55839\n81766 100000\n83385 100000\n89616 100000\n15412 23213\n59391 89119\n26891 40501\n44602 67004\n71465 100000\n1574 2398\n198 303\n40337 60666\n58216 87333\n55308 82975\n19918 30039\n48889 73403\n82168 100000\n35788 53831\n84498 100000\n8786 13224\n12056 18166\n27023 40693\n20974 31618\n72477 100000\n71174 100000\n12657 19071\n8 14\n23408 35300\n61435 92137\n84020 100000\n21821 32897\n90360 100000\n58675 88030\n94506 100000\n14600 22007\n49726 74641\n19954 30098\n98485 100000\n87429 100000\n78286 100000\n40056 60252\n36052 54222\n94235 100000\n40122 60349\n54019 81066\n14194 21391\n9820 14780\n25047 37750\n21055 31740\n62219 93330\n18086 27251\n66877 100000\n14572 21965\n68858 100000\n34764 52287\n50762 76205\n66226 99362\n52714 79088\n76710 100000\n39609 59581\n70356 100000\n52643 78988\n42181 63409\n52044 78120\n24086 36315\n39461 59356\n60204 90319\n24057 36272\n44593 66989\n88066 100000\n84500 100000\n34498 51889\n12717 19162\n26613 40066\n14938 22519\n98272 100000\n62313 93472\n87659 100000\n85562 100000\n36167 54394\n39119 58842\n1739 2648\n27875 41987\n39278 59079\n85256 100000\n23726 35769\n92115 100000\n26277 39578\n12258 18463\n37164 55919\n34504 51899\n69295 100000\n78018 100000\n10731 16150\n87530 100000\n14383 21675\n40140 60375\n87808 100000\n34905 52505\n38750 58287\n66583 99901\n49274 73976\n68538 100000\n16452 24793\n31175 46956\n85351 100000\n71150 100000\n70575 100000\n39498 59409\n85506 100000\n1734 2641\n80127 100000\n58177 87278\n1809 2756\n83572 100000\n94090 100000\n26445 39825\n32259 48575\n15854 23901\n96435 100000\n95082 100000\n76780 100000\n98727 100000\n37449 56350\n1434 2197\n46051 69179\n39732 59772\n61663 92478\n60227 90357\n29291 44131\n47546 71390\n43549 65451\n79901 100000\n52292 78478\n68634 100000\n28896 43542\n82842 100000\n15240 22964\n8521 12817\n64105 96160\n19128 28810\n10818 16281\n75802 100000\n85975 100000\n27468 41367\n29682 44703\n15908 23980\n22682 34200\n12974 19533\n65246 97856\n46102 69259\n73130 100000\n45805 68816\n295 453\n89213 100000\n91329 100000\n46486 69824\n15950 24037\n7985 12006\n75215 100000\n18262 27511\n92835 100000\n50390 75646\n35688 53679\n15765 23762\n75298 100000\n37393 56262\n80061 100000\n13267 19981\n12189 18359\n24533 36992\n81524 100000\n75193 100000\n88939 100000\n24203 36492\n49834 74803\n36164 54389\n10967 16502\n22610 34094\n89606 100000\n7913 11894\n79159 100000\n16519 24898\n30076 45306\n11612 17498\n44946 67525\n26480 39880\n99373 100000\n92629 100000\n37980 57151\n47761 71718\n3041 4594\n88811 100000\n87105 100000\n87405 100000\n93672 100000\n15527 23397\n41101 61802\n93648 100000\n82801 100000\n34935 52552\n83891 100000\n93674 100000\n68159 100000\n65062 97587\n53509 80281\n30664 46187\n63695 95527\n48979 73529\n70732 100000\n47291 71008\n64090 96139\n54159 81272\n95891 100000\n15228 22946\n60710 91073\n74024 100000\n55005 82519\n79963 100000\n54338 81531\n16581 24990\n11604 17485\n58338 87516\n3739 5632\n78851 100000\n95989 100000\n65865 98807\n87778 100000\n10768 16209\n80906 100000\n78398 100000\n14885 22438\n20728 31256\n86580 100000\n5036 7565\n3305 4992\n50792 76252\n33534 50454\n7858 11811\n81666 100000\n61624 92413\n70878 100000\n98565 100000\n55961 83956\n82959 100000\n29818 44914\n25833 38916\n40928 61541\n42787 64305\n9969 15010\n78906 100000\n13399 20178\n82156 100000\n73525 100000\n97309 100000\n65404 98105\n79734 100000\n96265 100000\n89016 100000\n96734 100000\n61136 91701\n45573 68464\n31267 47084\n13828 20832\n34536 51947\n22588 34058\n6947 10429\n62614 93919\n87786 100000\n12485 18811\n92551 100000\n23643 35646\n17562 26464\n83840 100000\n90232 100000\n65324 97978\n10555 15880\n1019 1554\n39597 59562\n88222 100000\n95043 100000\n43007 64639\n25493 38415\n64516 96760\n73599 100000\n34860 52434\n38166 57422\n5406 8116\n44880 67427\n72924 100000\n91627 100000\n4012 6027\n22345 33692\n81735 100000\n21185 31922\n81124 100000\n50252 75433\n46208 69415\n54022 81071\n17527 26414\n26159 39401\n28498 42933\n47394 71165\n30380 45760\n18255 27500\n59803 89727\n38534 57965\n61417 92115\n76031 100000\n71080 100000\n15805 23828\n58438 87678\n64919 97377\n70165 100000\n79360 100000\n41218 61975\n9465 14241\n38569 58019\n14218 21429\n1312 2000\n66728 100000\n20201 30463\n15909 23982\n76425 100000\n12196 18370\n56502 84756\n88298 100000\n39576 59530\n64971 97453\n87340 100000\n3384 5113\n77318 100000\n67786 100000\n80164 100000\n3563 5377\n22413 33794\n79133 100000\n57452 86184\n46085 69231\n86900 100000\n22722 34256\n7007 10519\n70880 100000\n27331 41160\n73220 100000\n33835 50907\n44369 66655\n36206 54451\n80146 100000\n64381 96551\n75659 100000\n76222 100000\n80547 100000\n96582 100000\n26335 39664\n53864 80825\n16889 25461\n90358 100000\n50978 76528\n54850 82293\n51905 77919\n78366 100000\n23180 34938\n68718 100000\n93158 100000\n68007 100000\n38231 57521\n18410 27725\n56773 85160\n21097 31798\n98934 100000\n32641 49143\n8248 12405\n42728 64217\n82269 100000\n44462 66792\n7044 10572\n68909 100000\n9659 14542\n83029 100000\n48708 73131\n34576 52004\n44713 67167\n48591 72948\n21380 32221\n38824 58393\n89887 100000\n16699 25167\n41653 62621\n34354 51674\n22607 34088\n24160 36422\n43903 65983\n66887 100000\n54669 82023\n76938 100000\n67749 100000\n98933 100000\n18317 27598\n9561 14399\n47697 71616\n19860 29945\n77295 100000\n13964 21052\n2578 3902\n36904 55536\n17467 26325\n69727 100000\n59691 89560\n88391 100000\n65906 98874\n80863 100000\n73554 100000\n72445 100000\n14517 21885\n32465 48891\n36817 55400\n41906 63005\n8299 12477\n47381 71146\n65712 98572\n14678 22125\n45513 68367\n29377 44255\n76908 100000\n42814 64344\n56171 84250\n10055 15143\n78565 100000\n37717 56750\n56484 84726\n22434 33825\n56158 84233\n40569 61015\n17330 26128\n40768 61306\n74561 100000\n55073 82619\n35780 53819\n86198 100000\n90688 100000\n93787 100000\n26043 39227\n28323 42672\n86795 100000\n6784 10197\n75391 100000\n15712 23681\n58989 88505\n10706 16110\n75494 100000\n80034 100000\n5687 8538\n69255 100000\n70668 100000\n5228 7848\n20301 30608\n63577 95351\n61817 92713\n77129 100000\n7031 10552\n2691 4071\n80103 100000\n16246 24489\n96868 100000\n64106 96162\n12078 18198\n63469 95193\n40420 60791\n72127 100000\n4207 6317\n51568 77414\n15388 23179\n8978 13513\n68614 100000\n58664 88013\n2141 3246\n58996 88516\n64563 96834\n38908 58523\n78489 100000\n94738 100000\n21805 32872\n97514 100000\n44470 66804\n62182 93270\n77966 100000\n52783 79195\n25495 38417\n23424 35327\n47565 71421\n68304 100000\n67589 100000\n50511 75826\n19354 29169\n26807 40371\n85317 100000\n25523 38460\n40082 60291\n87563 100000\n51402 77163\n39772 59831\n62733 94093\n37281 56082\n62792 94180\n99652 100000\n78771 100000\n76704 100000\n47298 71020\n26812 40379\n2996 4527\n23391 35273\n80017 100000\n29508 44441\n93329 100000\n35580 53518\n62382 93575\n7756 11656\n37931 57073\n65023 97530\n25482 38397\n85177 100000\n77438 100000\n30549 46015\n31091 46827\n49940 74954\n46125 69292\n91700 100000\n32307 48650\n5394 8101\n89248 100000\n27685 41699\n25326 38160\n27159 40896\n13146 19798\n60738 91117\n42522 63911\n86791 100000\n25309 38131\n99489 100000\n18243 27482\n38119 57353\n7112 10680\n41331 62143\n38141 57383\n53704 80579\n17757 26758\n85982 100000\n37101 55821\n65900 98865\n24604 37086\n56378 84571\n77973 100000\n17627 26559\n62299 93451\n33378 50228\n58729 88115\n8395 12626\n17042 25692\n80105 100000\n4175 6267\n27387 41250\n95334 100000\n26308 39622\n96697 100000\n92609 100000\n61449 92156\n2097 3183\n73627 100000\n25912 39032\n11953 18012\n27216 40982\n31190 46976\n45101 67758\n92217 100000\n91355 100000\n18147 27339\n19681 29672\n17036 25682\n17179 25905\n87594 100000\n77021 100000\n87894 100000\n22925 34560\n22842 34435\n89088 100000\n17009 25640\n54484 81743\n5360 8051\n34486 51871\n90968 100000\n91698 100000\n80931 100000\n5763 8662\n75032 100000\n97912 100000\n48993 73550\n99899 100000\n30821 46429\n42869 64430\n13342 20089\n15947 24034\n23910 36044\n93830 100000\n70991 100000\n9754 14685\n69119 100000\n73209 100000\n44472 66807\n98955 100000\n79259 100000\n62349 93524\n47699 71620\n96165 100000\n27770 41828\n36514 54930\n93258 100000\n35661 53643\n45978 69070\n4837 7266\n5537 8313\n51280 76979\n47859 71867\n6586 9896\n54723 82102\n6768 10172\n39099 58811\n50014 75066\n67411 100000\n40287 60593\n61018 91527\n58323 87494\n45458 68286\n98890 100000\n97345 100000\n53445 80181\n10284 15484\n1549 2359\n17898 26974\n74742 100000\n65571 98359\n22864 34469\n14265 21504\n66718 100000\n32536 48996\n32715 49256\n51490 77296\n29961 45131\n3119 4711\n32229 48533\n84675 100000\n25472 38380\n87540 100000\n30426 45830\n27785 41852\n14635 22062\n68895 100000\n57177 85752\n61616 92401\n42572 63988\n16439 24773\n86244 100000\n24298 36642\n12914 19439\n86143 100000\n43776 65795\n11306 17024\n28629 43138\n25059 37767\n85484 100000\n4708 7071\n74891 100000\n56836 85251\n85115 100000\n39016 58687\n12970 19527\n40134 60368\n93878 100000\n33033 49724\n85871 100000\n49044 73628\n73690 100000\n80674 100000\n3359 5076\n70195 100000\n9197 13831\n40404 60766\n91532 100000\n45029 67649\n49861 74844\n19634 29596\n21147 31873\n18399 27710\n11666 17578\n67664 100000\n14252 21483\n47552 71399\n56720 85085\n7546 11340\n11547 17398\n31283 47107\n72288 100000\n97803 100000\n72285 100000\n92990 100000\n44564 66947\n57008 85502\n73993 100000\n67508 100000\n64268 96395\n31338 47186\n41652 62619\n89534 100000\n58116 87186\n62430 93647\n94092 100000\n40704 61213\n98033 100000\n97560 100000\n65034 97546\n89871 100000\n19612 29568\n47186 70851\n94985 100000\n35774 53809\n1623 2472\n5502 8258\n10788 16236\n13082 19702\n9204 13841\n9802 14754\n88918 100000\n13934 21001\n96484 100000\n45676 68627\n78835 100000\n91223 100000\n55099 82657\n43712 65700\n978 1495\n97760 100000\n54580 81886\n85532 100000\n63248 94860\n29585 44559\n80069 100000\n47181 70846\n40639 61115\n849 1305\n84362 100000\n74275 100000\n24862 37462\n69434 100000\n84533 100000\n99058 100000\n39467 59367\n76641 100000\n54637 81973\n96794 100000\n64680 97010\n82866 100000\n19841 29916\n98037 100000\n6646 9988\n52100 78194\n66784 100000\n99703 100000\n30452 45870\n61034 91552\n83369 100000\n50406 75675\n67234 100000\n17040 25689\n85404 100000\n38832 58406\n90489 100000\n33045 49742\n72162 100000\n77827 100000\n7603 11427\n99253 100000\n66373 99589\n5215 7825\n96314 100000\n7360 11054\n87267 100000\n83853 100000\n94310 100000\n92048 100000\n78882 100000\n4626 6949\n47548 71393\n14649 22082\n18884 28443\n66773 100000\n24714 37249\n98734 100000\n2777 4203\n6997 10504\n11668 17582\n73227 100000\n80108 100000\n12685 19109\n6333 9518\n47006 70586\n40317 60636\n96302 100000\n70054 100000\n12656 19069\n34747 52260\n1125 1720\n2068 3142\n56682 85027\n38960 58605\n1891 2880\n50619 75986\n88131 100000\n45731 68708\n60390 90595\n23675 35695\n41682 62664\n50572 75921\n15531 23401\n37295 56104\n1 2\n86981 100000\n33197 49962\n92192 100000\n71678 100000\n19956 30101\n51007 76573\n94025 100000\n91828 100000\n92374 100000\n91301 100000\n83534 100000\n60072 90127\n84728 100000\n33990 51135\n11752 17716\n23484 35417\n64827 97239\n36522 54941\n9790 14738\n9115 13712\n88260 100000\n71604 100000\n4363 6553\n96762 100000\n90278 100000\n60780 91183\n84180 100000\n59756 89657\n14510 21873\n36240 54506\n21177 31912\n66744 100000\n20756 31299\n93950 100000\n3416 5158\n33316 50137\n44226 66447\n85906 100000\n73011 100000\n85957 100000\n41010 61665\n35564 53493\n70560 100000\n32290 48622\n23308 35139\n62401 93603\n82405 100000\n3346 5059\n57912 86874\n37648 56642\n5272 7917\n59792 89711\n45158 67840\n59721 89605\n98821 100000\n44121 66295\n21772 32824\n4566 6867\n18370 27669\n26018 39188\n51416 77183\n81355 100000\n51368 77112\n49229 73912\n49187 73843\n23429 35335\n2124 3221\n4886 7344\n42879 64444\n6561 9860\n22428 33817\n99135 100000\n29114 43863\n53088 79659\n42183 63413\n5782 8691\n3829 5767\n63933 95887\n59176 88784\n65510 98269\n4839 7268\n19807 29863\n55561 83350\n45221 67932\n81624 100000\n30825 46435\n78457 100000\n86863 100000\n88390 100000\n25193 37960\n75029 100000\n64214 96319\n66642 99995\n18527 27913\n91330 100000\n47214 70889\n99835 100000\n735 1131\n20255 30547\n4622 6944\n89860 100000\n34528 51936\n87666 100000\n47267 70974\n97096 100000\n27795 41868\n29202 44000\n82620 100000\n56336 84502\n16516 24895\n32160 48425\n13099 19728\n69967 100000\n35753 53778\n27658 41659\n17092 25767\n75790 100000\n20616 31093\n89495 100000\n5375 8073\n71331 100000\n53824 80761\n2573 3894\n55672 83515\n72119 100000\n81587 100000\n2262 3426\n28770 43357\n34376 51709\n72967 100000\n4221 6338\n29868 44989\n14644 22074\n35410 53263\n89987 100000\n79120 100000\n74749 100000\n75462 100000\n48298 72524\n49879 74869\n95136 100000\n25138 37881\n65835 98762\n60408 90621\n48942 73475\n93308 100000\n90413 100000\n93926 100000\n2101 3189\n98929 100000\n74958 100000\n94856 100000\n29122 43874\n20770 31316\n37417 56297\n37959 57118\n35229 52998\n2937 4441\n37304 56118\n56016 84038\n86819 100000\n99015 100000\n95302 100000\n17306 26095\n14148 21325\n43565 65475\n17223 25971\n38105 57331\n256 392\n11188 16838\n98200 100000\n40740 61267\n25907 39025\n67179 100000\n52621 78961\n30624 46123\n20028 30202\n14283 21533\n20618 31096\n28333 42687\n19643 29610\n3578 5398\n12769 19234\n19095 28764\n47398 71170\n5790 8703\n39506 59419\n59174 88781\n13538 20395\n4230 6351\n2285 3460\n28061 42262\n27043 40724\n17088 25761\n66875 100000\n42613 64052\n39426 59301\n81526 100000\n96699 100000\n35483 53371\n22066 33264\n97624 100000\n54833 82267\n74485 100000\n82869 100000\n19066 28716\n14650 22084\n15014 22627\n24591 37066\n41834 62891\n50104 75204\n52059 78138\n11121 16736\n11811 17798\n28037 42227\n47902 71930\n12976 19535\n19833 29903\n22087 33296\n91170 100000\n70000 100000\n65894 98855\n86424 100000\n84925 100000\n20322 30638\n44201 66409\n33699 50704\n93131 100000\n14720 22196\n90262 100000\n99934 100000\n85017 100000\n97175 100000\n87762 100000\n30849 46465\n57505 86261\n26509 39923\n15041 22664\n6220 9348\n29726 44772\n61945 92908\n44999 67605\n63566 95334\n5057 7598\n47831 71825\n1862 2838\n16577 24983\n94927 100000\n97595 100000\n17774 26784\n58797 88218\n36449 54830\n17301 26088\n60064 90117\n78241 100000\n51498 77310\n71357 100000\n63226 94827\n20064 30260\n78552 100000\n24113 36355\n31638 47656\n15566 23454\n970 1483\n85014 100000\n43307 65094\n68964 100000\n21224 31982\n3952 5939\n26730 40256\n15237 22959\n89306 100000\n84963 100000\n87815 100000\n43162 64869\n49822 74785\n6918 10390\n84739 100000\n55928 83908\n90189 100000\n11804 17785\n26816 40385\n20004 30170\n13270 19986\n13682 20611\n6491 9758\n88901 100000\n51165 76818\n64325 96477\n34652 52117\n47800 71778\n52533 78828\n36728 55263\n97488 100000\n90220 100000\n1638 2494\n85961 100000\n30416 45814\n64291 96429\n61626 92417\n25318 38146\n41124 61839\n89968 100000\n91269 100000\n68396 100000\n34506 51902\n73202 100000\n9239 13897\n71939 100000\n54707 82079\n4667 7009\n97567 100000\n76478 100000\n99111 100000\n15115 22781\n57290 85923\n32374 48750\n72188 100000\n24164 36428\n51110 76725\n43948 66048\n23620 35606\n51210 76881\n83230 100000\n64278 96410\n51433 77207\n22557 34004\n66664 100000\n70348 100000\n16331 24621\n98327 100000\n44421 66734\n49311 74031\n28582 43066\n49983 75019\n86348 100000\n34233 51488\n75497 100000\n73689 100000\n15482 23322\n42637 64085\n48240 72442\n15582 23480\n11390 17159\n54271 81436\n20220 30495\n66965 100000\n11284 16991\n80636 100000\n92576 100000\n95269 100000\n64411 96600\n76462 100000\n59847 89793\n14847 22385\n91633 100000\n4862 7305\n57093 85626\n62587 93875\n42073 63246\n10136 15262\n74008 100000\n82281 100000\n76171 100000\n66927 100000\n18432 27762\n89880 100000\n83353 100000\n90804 100000\n25466 38372\n78407 100000\n49275 73977\n53270 79917\n60561 90848\n63403 95098\n28212 42500\n48840 73328\n18568 27977\n18165 27365\n4781 7182\n82732 100000\n99525 100000\n32809 49391\n26657 40141\n86985 100000\n20893 31501\n95642 100000\n15355 23131\n92023 100000\n22288 33605\n68918 100000\n61806 92695\n47242 70934\n85914 100000\n8551 12864\n6957 10444\n67387 100000\n7769 11676\n54464 81714\n61677 92500\n99962 100000\n96639 100000\n97946 100000\n9248 13911\n40448 60833\n98683 100000\n90436 100000\n42704 64181\n18218 27448\n60262 90407\n82061 100000\n92334 100000\n18505 27879\n39092 58800\n78844 100000\n38425 57811\n81070 100000\n51026 76603\n1215 1856\n28894 43539\n77480 100000\n17081 25753\n97889 100000\n47550 71397\n48267 72483\n54578 81883\n70030 100000\n97381 100000\n51180 76842\n54206 81343\n40305 60619\n66437 99688\n92530 100000\n79175 100000\n65321 97973\n60426 90649\n41053 61733\n45675 68626\n13774 20753\n46158 69339\n13207 19890\n30412 45809\n33926 51038\n47892 71912\n55678 83524\n77829 100000\n51734 77668\n30585 46070\n9425 14180\n53890 80865\n44621 67030\n5975 8981\n13327 20066\n8784 13220\n44674 67111\n62290 93437\n82353 100000\n19722 29734\n4013 6029\n3322 5019\n5914 8888\n42934 64528\n26387 39741\n66283 99452\n85689 100000\n53333 80008\n1275 1941\n86902 100000\n18867 28417\n37603 56576\n7981 11999\n2936 4439\n56933 85400\n54506 81776\n18020 27148\n25366 38218\n23686 35712\n43640 65588\n22993 34663\n12319 18555\n75596 100000\n39392 59254\n53458 80201\n67288 100000\n34052 51231\n2198 3330\n5845 8783\n43172 64885\n68435 100000\n74341 100000\n75053 100000\n353 543\n19800 29852\n36113 54311\n63117 94667\n32316 48662\n97045 100000\n26073 39269\n15640 23571\n11794 17772\n85449 100000\n3883 5840\n31801 47894\n50457 75750\n46209 69416\n33457 50344\n62042 93049\n62099 93135\n81933 100000\n63423 95125\n77482 100000\n74681 100000\n5392 8099\n63754 95624\n62765 94140\n10664 16044\n89000 100000\n88672 100000\n63691 95521\n41446 62307\n41880 62964\n66995 100000\n66670 100000\n23856 35963\n59706 89583\n75661 100000\n33727 50743\n7935 11928\n34583 52014\n52187 78320\n66238 99383\n86374 100000\n68980 100000\n23131 34861\n12575 18941\n80676 100000\n1302 1982\n21618 32589\n93519 100000\n45555 68436\n92093 100000\n45176 67867\n57999 87010\n78537 100000\n89164 100000\n78450 100000\n56474 84713\n9277 13958\n58333 87510\n11779 17751\n2684 4062\n31576 47557\n28009 42182\n82839 100000\n94412 100000\n92575 100000\n55727 83598\n5832 8762\n65585 98382\n45124 67789\n22060 33254\n53038 79576\n10812 16272\n29834 44939\n33621 50583\n50926 76452\n52761 79161\n48039 72136\n38904 58518\n7577 11387\n42454 63805\n58245 87377\n81663 100000\n42323 63610\n98362 100000\n566 865\n59075 88634\n99375 100000\n74178 100000\n86593 100000\n57213 85807\n99276 100000\n66650 100000\n95948 100000\n28520 42964\n53095 79671\n278 424\n6287 9448\n39584 59541\n54026 81076\n57728 86602\n31523 47474\n65764 98654\n20772 31320\n3620 5457\n46773 70237\n27659 41660\n25762 38808\n74283 100000\n85554 100000\n69637 100000\n82203 100000\n38964 58610\n54740 82127\n14395 21699\n38704 58221\n30972 46651\n50162 75296\n60431 90658\n49042 73625\n30094 45335\n30171 45449\n77327 100000\n69786 100000\n8165 12281\n20734 31265\n86920 100000\n29077 43809\n17468 26327\n63113 94663\n76692 100000\n31543 47508\n58047 87082\n15003 22610\n39916 60046\n97668 100000\n6552 9848\n25021 37706\n39572 59523\n64050 96074\n54878 82329\n62931 94384\n15135 22807\n32923 49566\n25297 38115\n20464 30861\n36540 54971\n70472 100000\n15840 23881\n25773 38825\n76004 100000\n6946 10427\n17248 26009\n57462 86199\n88598 100000\n59327 89022\n92149 100000\n94269 100000\n46844 70346\n4253 6387\n27735 41769\n65780 98678\n20586 31048\n87483 100000\n37226 56004\n81189 100000\n11219 16885\n15550 23429\n6869 10316\n61292 91935\n67151 100000\n19961 30109\n65176 97756\n70239 100000\n71866 100000\n76913 100000\n1991 3027\n72826 100000\n82043 100000\n38407 57784\n53344 80027\n93614 100000\n51767 77715\n62169 93248\n14681 22131\n98248 100000\n31936 48095\n72893 100000\n11494 17318\n50962 76505\n74084 100000\n7032 10554\n50990 76548\n12890 19407\n92717 100000\n61123 91678\n55615 83432\n94815 100000\n66680 100000\n64756 97134\n78396 100000\n53658 80507\n73272 100000\n84768 100000\n47236 70926\n25392 38257\n69237 100000\n81878 100000\n20436 30817\n15521 23388\n31049 46760\n24168 36435\n31490 47423\n48498 72817\n30579 46062\n75730 100000\n354 545\n61413 92108\n31076 46803\n85717 100000\n43964 66071\n9529 14346\n70130 100000\n97565 100000\n7953 11955\n1364 2086\n48458 72760\n91956 100000\n84714 100000\n99564 100000\n22443 33839\n18989 28598\n61059 91586\n23796 35869\n67385 100000\n13521 20369\n3052 4611\n80927 100000\n548 841\n9621 14485\n99222 100000\n38095 57317\n71899 100000\n76601 100000\n34699 52189\n6733 10120\n53507 80278\n45904 68961\n39683 59694\n63749 95614\n98786 100000\n26181 39433\n94687 100000\n18469 27824\n71992 100000\n72251 100000\n87044 100000\n80881 100000\n22797 34369\n50386 75640\n3121 4714\n22635 34132\n27796 41869\n28478 42903\n75677 100000\n73675 100000\n38450 57850\n3840 5778\n9191 13823\n3729 5616\n80213 100000\n82962 100000\n58809 88233\n19799 29851\n18980 28583\n74971 100000\n91370 100000\n10658 16034\n20388 30743\n8346 12549\n46367 69646\n54213 81352\n8892 13380\n42310 63593\n77728 100000\n54947 82429\n64366 96531\n97173 100000\n98704 100000\n42779 64293\n78244 100000\n73128 100000\n59527 89309\n80603 100000\n17651 26591\n35337 53152\n7025 10543\n50539 75866\n40691 61194\n5758 8655\n51273 76970\n16052 24193\n25294 38111\n579 887\n75763 100000\n85062 100000\n95566 100000\n78670 100000\n72901 100000\n46770 70233\n8740 13152\n65962 98959\n3039 4592\n97029 100000\n51214 76885\n69266 100000\n29399 44286\n31632 47650\n17424 26266\n15872 23928\n78388 100000\n86261 100000\n55405 83111\n73508 100000\n57798 86704\n67801 100000\n45480 68317\n86701 100000\n21068 31757\n72891 100000\n17676 26631\n31279 47102\n44988 67591\n22861 34464\n99045 100000\n51796 77760\n97813 100000\n17415 26252\n65088 97625\n15090 22738\n80067 100000\n35429 53291\n26469 39861\n28144 42393\n20246 30533\n62720 94072\n15847 23892\n51483 77287\n15975 24073\n3478 5256\n39844 59935\n15514 23374\n24800 37372\n64839 97257\n66304 99486\n12363 18625\n82031 100000\n91192 100000\n79730 100000\n3350 5065\n30264 45586\n25571 38529\n12608 18995\n46870 70382\n45369 68153\n32158 48422\n17205 25944\n43678 65647\n79019 100000\n86658 100000\n96920 100000\n90314 100000\n88489 100000\n11593 17471\n35712 53717\n87574 100000\n25258 38059\n13143 19792\n98235 100000\n60533 90809\n55489 83243\n56286 84421\n43316 65110\n83754 100000\n11495 17319\n25398 38268\n31675 47713\n16318 24599\n4828 7254\n45800 68809\n92088 100000\n13231 19927\n11246 16931\n8187 12313\n95442 100000\n358 551\n68497 100000\n12725 19173\n93259 100000\n4629 6955\n80270 100000\n171 259\n16661 25108\n25551 38499\n36547 54980\n76403 100000\n10275 15469\n45618 68539\n65211 97810\n20259 30552\n44134 66311\n96024 100000\n39827 59914\n31773 47853\n59678 89536\n39771 59830\n33536 50456\n65630 98447\n66696 100000\n48827 73306\n6074 9138\n92189 100000\n65524 98288\n75957 100000\n89580 100000\n95084 100000\n64771 97156\n43264 65026\n26767 40315\n2131 3232\n77584 100000\n7404 11126\n31340 47189\n22957 34609\n32336 48692\n24385 36775\n47084 70706\n68240 100000\n94196 100000\n81249 100000\n46238 69452\n24547 37009\n1108 1695\n44724 67186\n95811 100000\n10736 16159\n17629 26562\n17188 25919\n82158 100000\n56384 84582\n45183 67878\n693 1062\n61464 92177\n8674 13055\n58730 88116\n61658 92470\n23135 34868\n93350 100000\n62239 93362\n26949 40581\n19214 28948\n48121 72266\n10525 15835\n19834 29905\n10198 15351\n93770 100000\n70415 100000\n48000 72078\n88317 100000\n82461 100000\n32589 49071\n95428 100000\n43790 65816\n89878 100000\n95666 100000\n99906 100000\n75468 100000\n9742 14669\n680 1044\n63743 95603\n7510 11283\n92567 100000\n61584 92355\n30199 45490\n92128 100000\n89466 100000\n21951 33090\n26429 39802\n28351 42716\n47536 71374\n80084 100000\n32455 48875\n32083 48308\n50051 75123\n43534 65426\n46843 70345\n49839 74810\n67518 100000\n52314 78513\n88242 100000\n60618 90936\n80107 100000\n39955 60102\n44843 67366\n60645 90976\n28332 42685\n47406 71182\n62400 93602\n89639 100000\n305 468\n17239 25996\n21314 32118\n87533 100000\n6673 10030\n91842 100000\n22145 33390\n10668 16051\n38916 58535\n57888 86842\n37733 56773\n79111 100000\n4266 6405\n47952 72010\n11581 17452\n75172 100000\n78272 100000\n65596 98401\n21976 33128\n77526 100000\n45954 69034\n47656 71556\n7594 11410\n20454 30844\n21911 33030\n32298 48637\n37475 56386\n24868 37471\n39751 59801\n50124 75238\n1849 2815\n96628 100000\n50460 75755\n62322 93486\n67597 100000\n27336 41169\n11464 17269\n63609 95403\n84687 100000\n17173 25897\n88799 100000\n83653 100000\n5859 8801\n19891 29996\n67936 100000\n21537 32459\n75500 100000\n72082 100000\n69767 100000\n16126 24302\n55656 83493\n83929 100000\n46811 70299\n5145 7722\n58092 87150\n44406 66713\n65534 98302\n71392 100000\n39830 59917\n49576 74421\n73361 100000\n26923 40543\n79435 100000\n57736 86613\n60576 90873\n95259 100000\n86096 100000\n26716 40235\n5094 7652\n47155 70812\n85422 100000\n25915 39036\n3066 4631\n47651 71548\n80022 100000\n52587 78911\n88850 100000\n9111 13705\n77618 100000\n15948 24035\n92237 100000\n62022 93023\n89576 100000\n42824 64357\n40172 60420\n54234 81382\n8774 13204\n3120 4712\n17554 26453\n17971 27076\n98326 100000\n37300 56113\n53995 81029\n64816 97220\n81528 100000\n94138 100000\n36519 54936\n62804 94199\n91236 100000\n19391 29228\n79377 100000\n37734 56775\n97669 100000\n45873 68912\n92196 100000\n91383 100000\n63927 95880\n2430 3669\n36151 54371\n61312 91959\n35081 52769\n30623 46122\n68102 100000\n89329 100000\n79854 100000\n64238 96354\n60369 90566\n69888 100000\n54417 81647\n48777 73237\n62100 93136\n76697 100000\n69862 100000\n97954 100000\n33293 50106\n96436 100000\n18149 27342\n35350 53173\n78411 100000\n80982 100000\n56469 84705\n55052 82588\n35475 53359\n86503 100000\n44795 67290\n29225 44029\n7770 11678\n21677 32677\n92332 100000\n20535 30972\n38211 57490\n48278 72497\n39616 59592\n8478 12748\n58373 87572\n69157 100000\n12839 19332\n82114 100000\n18119 27300\n98509 100000\n55260 82896\n19327 29128\n80456 100000\n65540 98311\n94190 100000\n92979 100000\n19299 29083\n16288 24555\n13465 20284\n4538 6828\n31329 47173\n35076 52762\n22775 34335\n36038 54201\n43126 64819\n86463 100000\n76998 100000\n65228 97833\n22605 34084\n63386 95072\n94643 100000\n31665 47697\n27298 41108\n59684 89546\n91576 100000\n58741 88134\n84835 100000\n47930 71975\n86519 100000\n37012 55694\n91913 100000\n33684 50680\n14374 21661\n89208 100000\n55558 83346\n6728 10111\n21926 33052\n13240 19943\n33219 49992\n78126 100000\n3807 5732\n11606 17489\n37150 55899\n46638 70048\n27078 40777\n25045 37747\n34985 52627\n32596 49079\n4074 6120\n4701 7061\n26224 39496\n66682 100000\n97497 100000\n77781 100000\n56319 84476\n46591 69980\n37233 56015\n47404 71179\n35287 53079\n96284 100000\n88328 100000\n24283 36621\n58401 87618\n68814 100000\n28355 42721\n50615 75981\n67324 100000\n40143 60379\n14902 22463\n67756 100000\n490 747\n2222 3367\n92325 100000\n51776 77728\n69013 100000\n94788 100000\n9765 14698\n98898 100000\n71265 100000\n98439 100000\n72108 100000\n80737 100000\n32979 49644\n50270 75462\n12584 18955\n1339 2043\n60184 90290\n44623 67034\n22442 33837\n32567 49039\n42016 63167\n53066 79625\n31870 47999\n58279 87424\n7734 11625\n33053 49752\n93967 100000\n68987 100000\n15532 23402\n74333 100000\n61146 91718\n8088 12164\n32535 48995\n28165 42424\n56620 84934\n91308 100000\n27561 41510\n47817 71807\n92184 100000\n44673 67109\n88993 100000\n98663 100000\n20179 30430\n48297 72522\n75134 100000\n87720 100000\n8895 13383\n54467 81717\n33144 49885\n82155 100000\n26365 39709\n16215 24443\n84902 100000\n20737 31270\n75527 100000\n12578 18945\n43768 65785\n90475 100000\n46563 69939\n89435 100000\n39928 60065\n20837 31418\n84152 100000\n89333 100000\n33327 50154\n62163 93239\n59536 89321\n58838 88279\n49347 74084\n8151 12259\n47634 71520\n43553 65457\n91540 100000\n50712 76127\n80688 100000\n15302 23056\n37673 56679\n80241 100000\n87203 100000\n71123 100000\n9196 13829\n48392 72663\n65839 98768\n93203 100000\n76439 100000\n2469 3731\n98306 100000\n15244 22969\n64792 97186\n83705 100000\n69955 100000\n20783 31335\n21617 32588\n9935 14959\n89851 100000\n22284 33598\n81596 100000\n23064 34769\n1740 2649\n87792 100000\n51581 77434\n52893 79357\n82799 100000\n2319 3514\n76967 100000\n97690 100000\n15939 24021\n49651 74531\n20383 30736\n33059 49760\n8685 13071\n28701 43252\n87588 100000\n45349 68127\n74271 100000\n49461 74255\n33468 50358\n99647 100000\n96017 100000\n24318 36671\n45198 67900\n4231 6352\n90462 100000\n7562 11366\n20753 31295\n61902 92844\n59854 89804\n67098 100000\n33513 50424\n74496 100000\n41008 61663\n60482 90735\n62790 94176\n56573 84867\n50882 76384\n19123 28804\n447 688\n89070 100000\n42115 63314\n42070 63243\n57774 86668\n99801 100000\n13382 20153\n88708 100000\n84961 100000\n68491 100000\n90940 100000\n20444 30830\n7346 11036\n55617 83435\n53398 80114\n40213 60480\n12423 18713\n12481 18805\n82382 100000\n87402 100000\n6729 10113\n53523 80301\n41186 61927\n33192 49954\n37695 56711\n17804 26825\n67501 100000\n76685 100000\n79554 100000\n56848 85270\n7689 11555\n91753 100000\n35029 52693\n67242 100000\n73759 100000\n81854 100000\n39147 58888\n674 1035\n80441 100000\n44358 66638\n4259 6397\n82339 100000\n41030 61698\n82432 100000\n60282 90439\n78673 100000\n91745 100000\n12894 19412\n21333 32148\n9804 14758\n41886 62972\n47918 71958\n31213 47010\n81306 100000\n90502 100000\n85342 100000\n82832 100000\n15994 24101\n32681 49207\n83311 100000\n63236 94841\n9953 14985\n75887 100000\n4753 7138\n55708 83571\n88348 100000\n46828 70326\n7663 11516\n33422 50294\n3237 4892\n45272 68006\n39493 59404\n40844 61415\n35726 53738\n1951 2969\n97095 100000\n60412 90628\n46509 69856\n11477 17292\n36835 55426\n8290 12464\n33208 49979\n80973 100000\n31084 46816\n94093 100000\n55229 82851\n86971 100000\n61315 91963\n97449 100000\n38728 58256\n19284 29056\n64464 96675\n16298 24569\n40183 60435\n13833 20841\n51171 76827\n29398 44284\n69692 100000\n93838 100000\n97802 100000\n56399 84602\n20959 31595\n31937 48097\n67246 100000\n2773 4196\n24928 37562\n56008 84026\n10786 16233\n99783 100000\n34849 52417\n18735 28220\n69632 100000\n69422 100000\n8567 12888\n21405 32255\n1378 2110\n24291 36631\n50272 75466\n94559 100000\n23630 35623\n22088 33297\n71809 100000\n13374 20139\n94783 100000\n79023 100000\n51043 76627\n12888 19403\n56947 85419\n28827 43444\n40314 60632\n50340 75572\n933 1425\n32810 49393\n86768 100000\n50598 75955\n33312 50132\n74617 100000\n61695 92527\n73932 100000\n70558 100000\n97636 100000\n72879 100000\n57801 86707\n56272 84399\n45628 68554\n52041 78115\n48157 72321\n47843 71843\n30082 45316\n82327 100000\n32680 49205\n49741 74665\n97000 100000\n79968 100000\n60308 90477\n71507 100000\n14767 22263\n79321 100000\n75081 100000\n39317 59137\n67566 100000\n88662 100000\n16226 24460\n28585 43071\n89569 100000\n18230 27464\n88632 100000\n86181 100000\n79363 100000\n83775 100000\n97429 100000\n15467 23300\n99508 100000\n86525 100000\n65827 98751\n44026 66159\n79478 100000\n10586 15925\n64949 97421\n93098 100000\n62752 94121\n89784 100000\n85905 100000\n53307 79973\n97070 100000\n13248 19954\n90899 100000\n70908 100000\n49105 73716\n98880 100000\n60143 90229\n97948 100000\n91475 100000\n37856 56956\n88398 100000\n68286 100000\n27183 40934\n31916 48065\n38777 58329\n64965 97445\n55589 83393\n48084 72208\n42820 64353\n81812 100000\n36046 54214\n47413 71194\n94724 100000\n71488 100000\n19003 28622\n74114 100000\n73155 100000\n5378 8078\n29982 45163\n66623 99967\n1346 2056\n79831 100000\n3513 5308\n1155 1764\n15716 23687\n58326 87499\n84009 100000\n43911 65993\n92101 100000\n37879 56991\n68943 100000\n74601 100000\n67647 100000\n92506 100000\n2426 3664\n89342 100000\n56898 85344\n83389 100000\n17216 25961\n66637 99987\n96264 100000\n1732 2638\n33094 49813\n65432 98147\n23164 34913\n35246 53022\n7908 11887\n60148 90235\n64185 96273\n43275 65042\n83710 100000\n11898 17930\n74509 100000\n40289 60596\n42339 63632\n67802 100000\n15017 22631\n34538 51949\n36812 55394\n97773 100000\n82142 100000\n99744 100000\n82980 100000\n74161 100000\n34065 51250\n67814 100000\n58826 88261\n8096 12176\n82783 100000\n23120 34847\n29290 44130\n37616 56594\n45844 68870\n55540 83318\n48077 72196\n21712 32734\n67481 100000\n2025 3081\n5350 8032\n29048 43767\n54253 81413\n16542 24930\n12492 18822\n37341 56177\n21255 32027\n43487 65361\n54121 81214\n71303 100000\n15074 22715\n50790 76249\n69588 100000\n59649 89493\n42810 64339\n64018 96023\n53278 79931\n73029 100000\n46839 70340\n95708 100000\n32773 49340\n86240 100000\n53769 80677\n56153 84228\n92776 100000\n9917 14934\n70793 100000\n66825 100000\n83916 100000\n10254 15437\n19065 28714\n85607 100000\n40919 61528\n18644 28089\n18422 27743\n22578 34040\n6864 10309\n10391 15642\n18384 27689\n71671 100000\n69566 100000\n65485 98226\n47500 71318\n47864 71874\n70305 100000\n19479 29361\n14619 22037\n70278 100000\n45229 67946\n82494 100000\n76690 100000\n90230 100000\n14784 22287\n79966 100000\n95059 100000\n34670 52146\n64166 96244\n97535 100000\n47057 70659\n68529 100000\n26973 40618\n13292 20015\n69142 100000\n16275 24533\n12450 18757\n52790 79206\n20621 31100\n66530 99822\n99042 100000\n96591 100000\n94702 100000\n65473 98208\n14219 21431\n56833 85246\n74071 100000\n20832 31411\n35645 53619\n74584 100000\n60337 90518\n55609 83423\n26732 40258\n42744 64244\n87419 100000\n35416 53271\n87987 100000\n72460 100000\n18014 27139\n60600 90911\n195 299\n54902 82362\n15614 23527\n94597 100000\n89219 100000\n14048 21170\n19513 29412\n25747 38783\n53077 79641\n68180 100000\n41711 62706\n68859 100000\n41920 63022\n10272 15464\n18373 27672\n76523 100000\n2352 3563\n64782 97170\n53801 80729\n93575 100000\n93622 100000\n37023 55709\n10608 15958\n38297 57621\n50969 76514\n32372 48747\n29456 44364\n9719 14635\n90084 100000\n53843 80792\n32058 48271\n46312 69561\n22040 33223\n74592 100000\n93755 100000\n65353 98024\n63433 95141\n6905 10371\n21672 32669\n71670 100000\n88760 100000\n5645 8474\n7147 10730\n17113 25802\n86801 100000\n62996 94486\n27028 40702\n45394 68189\n18277 27534\n87961 100000\n50126 75242\n65326 97981\n56857 85283\n62336 93505\n17702 26671\n50806 76274\n85151 100000\n28072 42282\n38958 58601\n73835 100000\n42913 64492\n12518 18859\n23196 34962\n75263 100000\n89498 100000\n41715 62711\n87662 100000\n62269 93407\n97230 100000\n60968 91454\n35644 53618\n94365 100000\n24236 36545\n401 617\n94538 100000\n21254 32025\n32495 48933\n30996 46683\n2337 3539\n4777 7177\n68707 100000\n8273 12438\n31017 46712\n76966 100000\n76778 100000\n30759 46332\n19874 29969\n82648 100000\n78497 100000\n76600 100000\n84847 100000\n72882 100000\n62855 94271\n81395 100000\n34800 52340\n601 923\n77468 100000\n80316 100000\n41841 62902\n23344 35196\n97310 100000\n62991 94477\n66789 100000\n78336 100000\n25854 38948\n20795 31356\n79869 100000\n43044 64691\n35462 53340\n18378 27679\n73232 100000\n57487 86234\n10485 15777\n37904 57031\n41235 62005\n92061 100000\n81808 100000\n73 114\n88515 100000\n84450 100000\n41719 62716\n90201 100000\n57596 86403\n62419 93631\n16208 24434\n84081 100000\n26298 39609\n64998 97489\n67845 100000\n88160 100000\n49171 73818\n25014 37696\n76226 100000\n39463 59360\n78060 100000\n89451 100000\n67328 100000\n99474 100000\n28992 43683\n2399 3627\n16444 24780\n99821 100000\n85219 100000\n64226 96339\n59688 89554\n70048 100000\n65697 98547\n69286 100000\n63106 94652\n14400 21707\n43352 65164\n50160 75292\n62973 94449\n51532 77359\n56330 84492\n1935 2944\n78420 100000\n51276 76973\n61588 92362\n86048 100000\n53380 80084\n59013 88540\n26904 40520\n45933 69003\n24388 36780\n65955 98949\n58760 88165\n60646 90978\n33261 50061\n32514 48964\n95361 100000\n21956 33099\n93563 100000\n78059 100000\n44262 66498\n71180 100000\n94784 100000\n62652 93971\n46850 70355\n17333 26133\n41516 62415\n61102 91647\n60651 90985\n35141 52860\n61937 92893\n89937 100000\n90206 100000\n31648 47672\n39660 59659\n27850 41948\n69722 100000\n70159 100000\n78152 100000\n57579 86381\n53375 80076\n34246 51504\n16356 24653\n53450 80189\n90640 100000\n95918 100000\n43752 65760\n64087 96136\n42984 64606\n76075 100000\n37466 56373\n84642 100000\n46104 69262\n64844 97264\n14340 21609\n91996 100000\n98687 100000\n57128 85678\n35436 53299\n7930 11920\n68991 100000\n38995 58655\n65689 98535\n97004 100000\n14930 22506\n41864 62939\n32488 48924\n69265 100000\n49787 74734\n78840 100000\n28906 43557\n2678 4054\n61796 92683\n89588 100000\n96148 100000\n76918 100000\n18542 27935\n68473 100000\n92499 100000\n15889 23952\n68482 100000\n59426 89165\n51411 77175\n43084 64751\n56308 84459\n9970 15011\n76000 100000\n19705 29708\n80509 100000\n93948 100000\n36228 54487\n52840 79277\n55975 83974\n86779 100000\n94066 100000\n5050 7589\n54772 82179\n1817 2768\n91086 100000\n80449 100000\n40155 60396\n79395 100000\n39803 59881\n66330 99527\n99437 100000\n30708 46254\n34066 51252\n12034 18133\n7472 11229\n60237 90372\n29363 44236\n65707 98563\n54540 81826\n99557 100000\n9069 13645\n1618 2464\n19226 28965\n62644 93959\n93393 100000\n16357 24654\n84796 100000\n54920 82389\n18340 27633\n66144 99237\n94854 100000\n36018 54173\n74871 100000\n47300 71023\n72250 100000\n43288 65065\n49955 74977\n87461 100000\n94447 100000\n66597 99923\n6934 10414\n85138 100000\n24947 37592\n17309 26099\n81565 100000\n18338 27629\n606 930\n31531 47485\n33403 50266\n63920 95868\n7460 11208\n1001 1528\n67274 100000\n73240 100000\n31142 46904\n30935 46598\n156 235\n37035 55728\n1981 3014\n62282 93425\n98699 100000\n63622 95423\n54495 81761\n17129 25828\n35861 53938\n60116 90189\n24864 37465\n48339 72585\n11553 17409\n74013 100000\n2579 3904\n38156 57405\n9017 13569\n5277 7926\n54250 81408\n83487 100000\n39779 59843\n60997 91497\n82289 100000\n57348 86022\n19419 29271\n87386 100000\n49497 74311\n64182 96270\n56734 85103\n8894 13382\n79558 100000\n69597 100000\n99966 100000\n59415 89150\n37759 56813\n23551 35511\n87512 100000\n95256 100000\n1454 2225\n49698 74602\n94350 100000\n10804 16260\n12785 19256\n19536 29443\n76904 100000\n77368 100000\n60632 90958\n11043 16614\n44913 67476\n6140 9231\n95000 100000\n96058 100000\n30521 45974\n25557 38507\n29835 44940\n91107 100000\n30313 45662\n18084 27248\n46111 69272\n23451 35364\n31433 47335\n69617 100000\n86962 100000\n99271 100000\n40595 61053\n55334 83013\n83439 100000\n60944 91421\n8250 12408\n1243 1893\n18873 28427\n36351 54679\n34796 52333\n8192 12319\n58665 88015\n43935 66031\n99302 100000\n76257 100000\n13461 20277\n29324 44179\n85172 100000\n95600 100000\n48558 72901\n17260 26028\n84503 100000\n98231 100000\n41424 62274\n64805 97203\n43703 65687\n58862 88311\n45343 68118\n72929 100000\n73389 100000\n64327 96479\n37835 56923\n89405 100000\n43467 65332\n69414 100000\n82520 100000\n59915 89898\n26805 40368\n64699 97041\n94018 100000\n3631 5472\n61636 92435\n15255 22985\n84743 100000\n75672 100000\n86857 100000\n39796 59870\n39642 59632\n25599 38570\n76106 100000\n83630 100000\n78693 100000\n15518 23382\n87220 100000\n76306 100000\n97697 100000\n98862 100000\n41823 62872\n6346 9539\n44150 66335\n96047 100000\n22531 33966\n73382 100000\n67257 100000\n10262 15448\n82372 100000\n62006 92998\n83175 100000\n53830 80773\n65276 97905\n89775 100000\n21603 32567\n25606 38578\n97504 100000\n77524 100000\n99708 100000\n63599 95385\n69944 100000\n97693 100000\n92732 100000\n90975 100000\n86965 100000\n60430 90656\n60314 90486\n79983 100000\n41705 62697\n78806 100000\n45023 67641\n38143 57386\n99631 100000\n68851 100000\n59856 89807\n30207 45502\n2797 4231\n56087 84133\n4755 7140\n74973 100000\n19044 28685\n77162 100000\n64183 96271\n72989 100000\n24977 37640\n30142 45407\n67623 100000\n47100 70732\n91362 100000\n90587 100000\n1250 1904\n31129 46883\n50049 75121\n75978 100000\n19971 30123\n35840 53910\n6995 10500\n22181 33445\n4927 7404\n49738 74659\n43501 65379\n29765 44835\n43794 65823\n41958 63082\n18450 27793\n99387 100000\n6009 9032\n58211 87327\n16706 25178\n44817 67326\n77187 100000\n52270 78443\n82082 100000\n21633 32610\n51370 77115\n94891 100000\n28465 42887\n17560 26460\n6548 9843\n6699 10064\n33576 50515\n93081 100000\n72614 100000\n40064 60264\n25820 38898\n3973 5967\n87453 100000\n10159 15296\n29255 44075\n72353 100000\n39359 59205\n51869 77864\n90338 100000\n85614 100000\n13335 20078\n33017 49699\n60029 90066\n69435 100000\n7703 11577\n97694 100000\n89387 100000\n3031 4580\n91184 100000\n75943 100000\n59617 89447\n52163 78285\n64258 96381\n50674 76066\n51933 77959\n80485 100000\n90615 100000\n68609 100000\n39369 59218\n49956 74979\n56607 84914\n21589 32543\n53065 79623\n57328 85989\n36556 54993\n51845 77830\n42320 63606\n47346 71094\n93556 100000\n37116 55847\n22432 33823\n95561 100000\n79782 100000\n56678 85020\n58240 87370\n34923 52532\n55645 83475\n75711 100000\n53092 79665\n14618 22035\n77945 100000\n9932 14955\n30921 46579\n31232 47037\n94472 100000\n6249 9392\n64413 96602\n46630 70036\n17321 26115\n73047 100000\n52343 78553\n88237 100000\n14332 21598\n34643 52100\n67934 100000\n95661 100000\n58513 87789\n5616 8430\n76930 100000\n5631 8453\n72018 100000\n55201 82809\n53037 79574\n36757 55311\n83236 100000\n48641 73023\n24141 36397\n42019 63170\n48248 72455\n64737 97103\n57208 85799\n81300 100000\n23568 35536\n38439 57831\n74188 100000\n53772 80682\n69215 100000\n2743 4151\n2252 3412\n74863 100000\n44823 67334\n81139 100000\n72850 100000\n47823 71815\n35544 53460\n19345 29157\n8953 13473\n15148 22823\n88024 100000\n59049 88593\n73054 100000\n63511 95254\n42560 63969\n75528 100000\n37601 56573\n87608 100000\n10870 16359\n84880 100000\n71240 100000\n27547 41487\n13628 20529\n60816 91237\n9895 14898\n92703 100000\n83677 100000\n37862 56964\n36370 54707\n64248 96368\n89977 100000\n54621 81951\n83736 100000\n72410 100000\n8116 12205\n11912 17951\n64171 96252\n73125 100000\n40753 61283\n28670 43204\n74378 100000\n97032 100000\n89909 100000\n99543 100000\n99625 100000\n17242 26001\n59976 89986\n70479 100000\n14713 22186\n48129 72278\n63505 95247\n61854 92770\n2554 3868\n55926 83906\n63396 95088\n91252 100000\n18099 27270\n14662 22103\n24897 37518\n29632 44628\n35761 53791\n28768 43354\n32397 48785\n26247 39533\n31288 47115\n21925 33050\n7184 10790\n84300 100000\n36216 54468\n90713 100000\n97164 100000\n39411 59281\n81363 100000\n62093 93128\n65380 98066\n27339 41174\n10864 16350\n43442 65296\n54482 81739\n67248 100000\n57886 86839\n80961 100000\n18210 27436\n84099 100000\n41254 62031\n65236 97842\n84217 100000\n45402 68200\n96043 100000\n51262 76952\n88669 100000\n73529 100000\n26355 39694\n35519 53424\n47730 71667\n15493 23339\n30692 46231\n24988 37657\n53917 80906\n45012 67625\n32725 49270\n16541 24929\n81708 100000\n83560 100000\n43358 65174\n4729 7102\n87314 100000\n91652 100000\n9223 13869\n26438 39814\n17557 26456\n27050 40733\n8094 12174\n2432 3671\n23359 35218\n1608 2449\n54127 81222\n94592 100000\n21382 32224\n40899 61498\n56608 84915\n81889 100000\n21773 32826\n62900 94337\n60113 90185\n85618 100000\n757 1164\n4137 6207\n58366 87560\n65936 98920\n56453 84678\n94568 100000\n70458 100000\n50234 75409\n21998 33157\n26294 39603\n71706 100000\n66047 99085\n35499 53395\n72214 100000\n85215 100000\n60063 90116\n72993 100000\n2279 3451\n85131 100000\n24310 36661\n49383 74140\n25330 38166\n86596 100000\n20051 30239\n64887 97332\n23782 35848\n79051 100000\n91372 100000\n46605 70000\n7056 10592\n74106 100000\n33196 49960\n97681 100000\n4384 6584\n28257 42566\n90565 100000\n55078 82626\n83521 100000\n64977 97461\n82863 100000\n94448 100000\n16294 24563\n50945 76481\n99456 100000\n9319 14023\n14929 22505\n31706 47758\n67202 100000\n89884 100000\n45645 68580\n98350 100000\n98843 100000\n95848 100000\n5096 7655\n17657 26601\n15705 23668\n2033 3092\n72454 100000\n81074 100000\n28496 42929\n72604 100000\n17511 26390\n27712 41737\n95412 100000\n59868 89826\n62205 93307\n73952 100000\n4675 7020\n82295 100000\n92908 100000\n48763 73216\n1778 2706\n51992 78043\n38384 57752\n54144 81248\n67668 100000\n33757 50790\n58983 88495\n85345 100000\n61649 92456\n18748 28242\n39718 59750\n56611 84919\n46779 70247\n75003 100000\n8328 12524\n76492 100000\n79073 100000\n38583 58042\n2942 4447\n57378 86070\n27706 41730\n58035 87061\n59441 89186\n65770 98664\n58418 87646\n52150 78267\n9025 13581\n64017 96021\n24566 37032\n31982 48158\n57049 85559\n84722 100000\n73039 100000\n92455 100000\n3601 5431\n18333 27621\n41033 61703\n75026 100000\n83691 100000\n72562 100000\n70902 100000\n75357 100000\n91360 100000\n44483 66822\n77971 100000\n82305 100000\n56843 85262\n99671 100000\n26948 40579\n49417 74190\n71319 100000\n6152 9248\n97922 100000\n60506 90773\n63474 95200\n33287 50098\n33279 50086\n18190 27404\n62706 94053\n89652 100000\n76442 100000\n46385 69673\n39898 60019\n60543 90822\n60389 90594\n68111 100000\n18902 28468\n92423 100000\n74505 100000\n70105 100000\n74574 100000\n24713 37247\n18714 28191\n13612 20505\n44993 67598\n57098 85632\n87282 100000\n53809 80740\n83505 100000\n95721 100000\n30184 45467\n28804 43409\n95528 100000\n51291 76996\n19075 28732\n81535 100000\n45285 68027\n52306 78501\n12467 18782\n26733 40260\n95461 100000\n54463 81713\n40145 60382\n37541 56483\n70884 100000\n54351 81548\n26320 39642\n93476 100000\n9365 14088\n7105 10670\n52205 78343\n14428 21754\n70241 100000\n76014 100000\n26302 39614\n10996 16542\n66109 99180\n16885 25455\n99844 100000\n70473 100000\n36993 55665\n16875 25440\n68453 100000\n39110 58827\n68735 100000\n58922 88402\n98542 100000\n12570 18934\n23881 35997\n46355 69625\n76428 100000\n92528 100000\n82011 100000\n57964 86957\n31018 46713\n12125 18262\n65421 98132\n24846 37441\n26789 40346\n59615 89444\n41041 61715\n66793 100000\n14724 22200\n61645 92451\n20879 31481\n83143 100000\n98299 100000\n4220 6337\n26921 40541\n69468 100000\n24427 36838\n5393 8100\n55371 83063\n98397 100000\n56506 84764\n61884 92816\n17819 26849\n95674 100000\n76635 100000\n7212 10830\n89190 100000\n85220 100000\n25988 39141\n49542 74375\n62715 94066\n88873 100000\n45273 68007\n79190 100000\n83611 100000\n61527 92270\n24045 36252\n60584 90886\n96084 100000\n82201 100000\n90952 100000\n20690 31203\n32876 49497\n21393 32237\n44137 66315\n99405 100000\n64547 96808\n66972 100000\n5571 8363\n82032 100000\n67174 100000\n82860 100000\n48647 73034\n96128 100000\n71994 100000\n65331 97989\n5265 7905\n46140 69315\n41758 62772\n51662 77559\n89320 100000\n38117 57351\n40038 60225\n48037 72133\n68357 100000\n30709 46256\n83839 100000\n29934 45088\n19546 29459\n12567 18930\n37579 56537\n70080 100000\n65087 97624\n18396 27705\n42670 64130\n2662 4028\n71267 100000\n34313 51615\n28181 42448\n29286 44124\n50462 75757\n91497 100000\n10761 16198\n3044 4598\n74746 100000\n92864 100000\n1449 2217\n36579 55029\n58585 87890\n35599 53548\n78440 100000\n99932 100000\n15925 24005\n21088 31787\n71847 100000\n84470 100000\n64586 96869\n55279 82926\n21862 32956\n45096 67750\n48062 72172\n6012 9037\n39293 59101\n28461 42880\n88539 100000\n3292 4974\n40694 61199\n1588 2422\n41142 61864\n27148 40879\n64123 96186\n18185 27396\n15174 22859\n27624 41608\n63962 95935\n77963 100000\n62967 94441\n13059 19665\n26261 39556\n72902 100000\n24108 36347\n15363 23143\n91767 100000\n98176 100000\n51555 77396\n25386 38247\n95927 100000\n20750 31289\n6585 9894\n50814 76285\n44490 66833\n47905 71936\n56963 85440\n81472 100000\n61019 91528\n56624 84939\n5894 8854\n85095 100000\n94645 100000\n4685 7033\n13926 20987\n2638 3992\n21153 31881\n6678 10037\n58431 87668\n44842 67364\n88637 100000\n2277 3449\n48758 73209\n29121 43873\n2971 4490\n52151 78269\n58244 87375\n88727 100000\n22123 33355\n50242 75421\n90627 100000\n17641 26577\n29955 45121\n4795 7206\n75383 100000\n47167 70825\n36921 55561\n45821 68838\n37972 57140\n80972 100000\n8769 13196\n79437 100000\n56610 84918\n6265 9419\n31188 46974\n16041 24175\n24847 37442\n83744 100000\n39868 59971\n3789 5707\n56544 84823\n94078 100000\n29741 44797\n20316 30630\n65733 98605\n56569 84860\n93197 100000\n97899 100000\n94263 100000\n31949 48112\n54838 82274\n44177 66370\n63317 94966\n94439 100000\n49708 74616\n25445 38339\n90694 100000\n52510 78795\n3461 5229\n64690 97027\n65719 98584\n99184 100000\n69432 100000\n10032 15105\n14021 21132\n63654 95466\n17403 26235\n73884 100000\n33517 50430\n70799 100000\n45287 68030\n71315 100000\n79640 100000\n45917 68979\n14205 21409\n72498 100000\n42805 64333\n92493 100000\n78421 100000\n12569 18933\n61702 92537\n9995 15049\n18246 27487\n52960 79462\n19463 29340\n65976 98979\n57207 85798\n99862 100000\n73271 100000\n66240 99385\n61759 92625\n96440 100000\n71245 100000\n6005 9025\n89023 100000\n74086 100000\n94170 100000\n20503 30924\n75234 100000\n98100 100000\n50856 76343\n29035 43748\n8005 12034\n90101 100000\n68819 100000\n72007 100000\n12561 18922\n55764 83654\n31540 47502\n19421 29275\n78447 100000\n47655 71555\n34479 51860\n95086 100000\n63435 95143\n3481 5262\n87179 100000\n46490 69830\n34960 52589\n76163 100000\n34580 52009\n83516 100000\n49277 73979\n7113 10681\n38037 57229\n91062 100000\n74704 100000\n65822 98743\n25746 38781\n35704 53703\n20277 30577\n77394 100000\n17802 26822\n12630 19030\n67713 100000\n8982 13520\n47195 70863\n52701 79069\n33039 49732\n90115 100000\n89645 100000\n44912 67475\n21100 31802\n935 1428\n12254 18456\n91214 100000\n64620 96917\n37001 55677\n61468 92184\n13289 20012\n38400 57776\n19876 29973\n32469 48898\n34199 51434\n92449 100000\n53504 80274\n81185 100000\n72132 100000\n1727 2631\n73391 100000\n1685 2563\n79397 100000\n5161 7747\n7907 11886\n23498 35440\n77530 100000\n38883 58488\n56633 84953\n60318 90492\n90018 100000\n11902 17936\n66841 100000\n76903 100000\n7091 10651\n88008 100000\n89565 100000\n39754 59807\n89933 100000\n75568 100000\n33435 50311\n95929 100000\n64774 97160\n93737 100000\n93438 100000\n71807 100000\n12076 18195\n82854 100000\n423 651\n27821 41903\n83148 100000\n75486 100000\n12128 18265\n98778 100000\n88658 100000\n47909 71943\n87474 100000\n54453 81699\n52687 79050\n42283 63556\n14211 21420\n21025 31695\n11140 16765\n3649 5498\n73985 100000\n34671 52148\n84516 100000\n13842 20852\n2235 3386\n96571 100000\n49302 74018\n79612 100000\n41859 62931\n10939 16458\n10060 15149\n15782 23789\n61925 92877\n12302 18531\n78891 100000\n89984 100000\n3395 5132\n30346 45708\n40478 60875\n83275 100000\n9974 15015\n17359 26168\n93776 100000\n19599 29547\n34297 51587\n57175 85749\n59129 88715\n41558 62474\n66935 100000\n69635 100000\n80914 100000\n60718 91085\n3654 5505\n37562 56512\n96752 100000\n51726 77655\n71590 100000\n55059 82597\n45296 68043\n11345 17086\n34529 51937\n76185 100000\n22675 34189\n83276 100000\n91428 100000\n40701 61208\n65817 98733\n92186 100000\n2100 3187\n63082 94613\n22097 33314\n69989 100000\n91863 100000\n50123 75237\n5766 8667\n13507 20348\n29289 44129\n47899 71924\n22733 34276\n69552 100000\n12390 18664\n96849 100000\n30175 45455\n52334 78540\n51721 77648\n95170 100000\n99672 100000\n46583 69968\n16701 25169\n40250 60535\n91705 100000\n20630 31110\n58220 87339\n65973 98974\n41127 61842\n82739 100000\n24119 36366\n68903 100000\n79079 100000\n63840 95751\n55096 82652\n2425 3663\n51182 76844\n48948 73485\n33191 49952\n59293 88964\n12420 18709\n7678 11539\n59223 88859\n42886 64453\n55322 82996\n43814 65852\n53747 80645\n13816 20813\n94450 100000\n95403 100000\n18446 27787\n54113 81203\n45123 67788\n92292 100000\n48707 73130\n10290 15493\n453 697\n35942 54055\n38769 58318\n28028 42213\n96285 100000\n55039 82567\n32481 48915\n57835 86756\n50809 76278\n25092 37815\n84047 100000\n65313 97960\n33488 50386\n8677 13059\n50350 75588\n68831 100000\n68028 100000\n27288 41092\n40711 61222\n97409 100000\n78266 100000\n33746 50773\n15136 22808\n11670 17586\n78200 100000\n9050 13620\n23574 35544\n91109 100000\n92305 100000\n69971 100000\n61998 92988\n76830 100000\n24816 37394\n24340 36706\n29558 44518\n37877 56989\n87239 100000\n81365 100000\n20422 30794\n2417 3651\n71200 100000\n22215 33491\n82334 100000\n63165 94737\n33061 49764\n95576 100000\n42436 63780\n55330 83008\n45663 68605\n54330 81521\n88353 100000\n48002 72081\n21305 32106\n39892 60011\n10947 16470\n77197 100000\n60018 90050\n91211 100000\n30099 45343\n87316 100000\n25131 37870\n13156 19812\n4427 6654\n12926 19457\n61954 92919\n40640 61117\n83709 100000\n88093 100000\n15675 23625\n18074 27233\n44284 66530\n22785 34351\n71349 100000\n81746 100000\n21937 33068\n50524 75845\n18839 28375\n94290 100000\n57901 86861\n47621 71500\n1749 2661\n46962 70525\n13027 19614\n89426 100000\n54200 81334\n73336 100000\n54037 81090\n15512 23370\n86003 100000\n56013 84034\n81807 100000\n25543 38486\n40609 61072\n28383 42757\n54443 81685\n92443 100000\n95481 100000\n15720 23692\n70945 100000\n78723 100000\n41021 61682\n42424 63765\n51013 76583\n8488 12765\n96938 100000\n56741 85115\n9524 14338\n77663 100000\n71320 100000\n39752 59803\n46288 69527\n86126 100000\n79798 100000\n12471 18788\n73546 100000\n77780 100000\n69782 100000\n92866 100000\n91011 100000\n98831 100000\n2489 3764\n95486 100000\n47632 71516\n45429 68240\n26721 40242\n86235 100000\n52097 78189\n23741 35789\n225 346\n19208 28940\n72248 100000\n99561 100000\n56478 84717\n41074 61764\n10672 16056\n14305 21562\n74299 100000\n95253 100000\n50662 76047\n73113 100000\n4809 7226\n87587 100000\n89643 100000\n14942 22525\n39460 59355\n94623 100000\n24565 37031\n78935 100000\n63686 95515\n27630 41616\n16437 24770\n94200 100000\n68388 100000\n25903 39018\n94007 100000\n15224 22938\n22825 34411\n81984 100000\n35706 53706\n53306 79972\n12373 18640\n44321 66584\n46893 70421\n49848 74822\n78820 100000\n86373 100000\n88590 100000\n26756 40298\n68314 100000\n50136 75258\n412 635\n2449 3699\n48139 72292\n7086 10645\n45225 67938\n24404 36801\n67774 100000\n56429 84643\n97797 100000\n12310 18543\n13157 19814\n43271 65036\n12609 18996\n88492 100000\n70760 100000\n66102 99169\n12184 18350\n86973 100000\n10572 15905\n27837 41927\n52322 78522\n69025 100000\n52227 78377\n76550 100000\n64376 96545\n30868 46498\n31697 47748\n29080 43813\n84725 100000\n86558 100000\n81341 100000\n72447 100000\n91887 100000\n20270 30568\n68674 100000\n3949 5935\n42712 64194\n30232 45538\n21556 32489\n71661 100000\n53258 79901\n57134 85686\n57331 85995\n17704 26674\n57806 86714\n14985 22584\n40154 60395\n91987 100000\n97375 100000\n67024 100000\n53098 79675\n11915 17955\n69594 100000\n75890 100000\n50596 75953\n13219 19908\n75123 100000\n14263 21500\n10554 15878\n41704 62695\n46562 69937\n36186 54427\n50566 75911\n17252 26016\n46489 69829\n50730 76156\n6171 9275\n51212 76883\n9080 13659\n16810 25340\n63562 95328\n27162 40900\n47602 71473\n25336 38173\n4856 7295\n43995 66117\n75210 100000\n6324 9506\n28180 42447\n12726 19174\n34243 51500\n52408 78649\n60776 91178\n71093 100000\n51406 77168\n60119 90195\n26021 39192\n86998 100000\n20726 31254\n55789 83693\n93620 100000\n33860 50939\n37219 55993\n54624 81954\n43250 65008\n61424 92124\n91635 100000\n39933 60071\n43441 65295\n57229 85832\n79312 100000\n38941 58576\n11406 17187\n8559 12875\n46346 69611\n4702 7062\n29681 44701\n96425 100000\n31312 47147\n74017 100000\n95421 100000\n43863 65922\n38628 58111\n18559 27964\n51025 76602\n45852 68881\n43404 65241\n10354 15582\n78797 100000\n94008 100000\n60980 91470\n24587 37061\n75282 100000\n24040 36246\n59237 88880\n37623 56605\n19838 29913\n37777 56841\n17121 25813\n31939 48099\n82428 100000\n79209 100000\n57911 86872\n74266 100000\n62512 93765\n39807 59887\n3996 6001\n64957 97433\n95446 100000\n98645 100000\n58618 87943\n3491 5278\n46193 69391\n93996 100000\n16555 24951\n52638 78981\n66950 100000\n6191 9304\n68725 100000\n66983 100000\n60520 90790\n35368 53201\n29397 44283\n90909 100000\n86846 100000\n32012 48202\n8131 12229\n31602 47603\n47895 71917\n51183 76846\n4502 6772\n23040 34735\n83055 100000\n16698 25165\n50922 76444\n73398 100000\n25257 38058\n58081 87135\n10195 15347\n72187 100000\n53232 79865\n96080 100000\n7666 11521\n11160 16794\n56371 84559\n76300 100000\n32359 48727\n73951 100000\n27234 41011\n26131 39361\n17187 25918\n52890 79352\n28001 42171\n44496 66841\n2521 3815\n7159 10748\n64962 97440\n74069 100000\n40178 60428\n55485 83236\n66730 100000\n72437 100000\n65636 98454\n13183 19853\n41935 63048\n32570 49042\n13702 20641\n94028 100000\n13886 20920\n83944 100000\n14135 21305\n21059 31744\n53268 79915\n8084 12157\n31048 46758\n88665 100000\n6461 9710\n51931 77957\n21524 32438\n27997 42167\n18374 27674\n52188 78321\n12283 18502\n49675 74566\n70609 100000\n64636 96942\n17731 26718\n51515 77335\n25463 38367\n63997 95989\n75861 100000\n51974 78015\n90001 100000\n22816 34397\n79892 100000\n76210 100000\n82841 100000\n2090 3173\n97021 100000\n88973 100000\n64209 96311\n20594 31059\n95828 100000\n10849 16328\n328 502\n50119 75229\n16756 25251\n4439 6673\n27742 41782\n44770 67256\n81475 100000\n69677 100000\n74498 100000\n1463 2237\n60057 90107\n55030 82554\n44694 67140\n37318 56140\n73102 100000\n2375 3596\n27569 41523\n51856 77843\n98922 100000\n6545 9838\n35745 53766\n45686 68643\n76708 100000\n90184 100000\n24987 37655\n54327 81517\n8145 12250\n60463 90705\n34553 51972\n49027 73601\n8048 12103\n69256 100000\n63729 95579\n42246 63507\n81653 100000\n60615 90931\n88895 100000\n4438 6672\n8753 13172\n18723 28205\n4298 6460\n25324 38156\n22639 34137\n27537 41473\n39001 58665\n67834 100000\n78128 100000\n6838 10273\n31926 48080\n48386 72654\n62024 93025\n90893 100000\n16148 24338\n28848 43477\n3899 5862\n85841 100000\n59203 88829\n2924 4422\n81193 100000\n20939 31567\n34965 52596\n39977 60136\n54365 81569\n33182 49938\n94782 100000\n64770 97155\n68290 100000\n90166 100000\n83160 100000\n33442 50321\n18290 27554\n68923 100000\n7665 11519\n83476 100000\n40060 60258\n82400 100000\n64671 96994\n39304 59119\n75899 100000\n13024 19609\n89626 100000\n17694 26659\n65601 98409\n20732 31261\n48696 73110\n63980 95961\n72579 100000\n48822 73300\n94956 100000\n33032 49722\n96306 100000\n39932 60070\n1814 2764\n63225 94826\n77987 100000\n44532 66895\n38951 58589\n69258 100000\n31513 47459\n83145 100000\n50797 76260\n15318 23077\n48770 73227\n65629 98445\n28231 42528\n48521 72848\n41873 62953\n82103 100000\n65110 97659\n83629 100000\n5467 8208\n61618 92405\n11197 16853\n72318 100000\n65642 98462\n26792 40351\n11097 16700\n74229 100000\n64783 97172\n9031 13589\n20390 30745\n33140 49877\n90200 100000\n58489 87752\n64484 96708\n47942 71997\n45884 68929\n81280 100000\n3404 5144\n28133 42374\n40832 61399\n39341 59178\n47125 70769\n77467 100000\n23013 34693\n80658 100000\n64374 96542\n42384 63705\n2174 3293\n5668 8511\n50489 75795\n54835 82269\n97515 100000\n13315 20052\n41613 62558\n22614 34100\n91566 100000\n91429 100000\n58017 87037\n96796 100000\n49680 74574\n90569 100000\n38435 57826\n91591 100000\n72936 100000\n48124 72270\n3221 4869\n85132 100000\n34513 51914\n68998 100000\n54753 82151\n94694 100000\n84421 100000\n85451 100000\n48570 72916\n44114 66285\n68568 100000\n23753 35806\n55882 83838\n69251 100000\n13457 20270\n98948 100000\n24548 37010\n79692 100000\n43066 64723\n77355 100000\n68001 100000\n21023 31692\n27897 42020\n24530 36988\n32452 48870\n76592 100000\n98435 100000\n7686 11550\n67960 100000\n77535 100000\n52741 79128\n56447 84669\n38421 57806\n64567 96840\n12861 19362\n90888 100000\n31468 47386\n54105 81191\n63992 95980\n43876 65941\n56656 84990\n80183 100000\n8364 12577\n35481 53368\n60458 90697\n98944 100000\n88258 100000\n38253 57559\n90078 100000\n98588 100000\n93177 100000\n32862 49473\n83314 100000\n46017 69126\n27804 41880\n92416 100000\n39019 58691\n17383 26204\n92557 100000\n85099 100000\n64264 96390\n90224 100000\n19131 28815\n20853 31444\n83395 100000\n93534 100000\n95061 100000\n54437 81677\n47746 71694\n93889 100000\n56342 84512\n99037 100000\n12716 19160\n81170 100000\n64426 96623\n64903 97353\n20941 31571\n86859 100000\n2435 3676\n81153 100000\n89504 100000\n92352 100000\n30418 45817\n65341 98007\n15329 23094\n90266 100000\n90364 100000\n491 749\n41224 61987\n25651 38640\n12488 18816\n17758 26760\n24876 37486\n96348 100000\n36885 55506\n2895 4372\n31616 47627\n74848 100000\n41638 62595\n65299 97940\n28299 42632\n56796 85192\n71009 100000\n74365 100000\n47324 71061\n18223 27453\n42722 64209\n71196 100000\n69466 100000\n82728 100000\n93309 100000\n69976 100000\n71326 100000\n61285 91924\n97060 100000\n72345 100000\n41462 62332\n39084 58790\n34653 52119\n90336 100000\n8826 13285\n11957 18017\n41914 63014\n34727 52230\n83698 100000\n93982 100000\n3967 5960\n19593 29535\n36925 55566\n7477 11238\n53206 79828\n83900 100000\n11838 17838\n67863 100000\n11704 17639\n30657 46176\n26746 40283\n37102 55823\n73841 100000\n8884 13367\n72166 100000\n920 1408\n20810 31378\n8627 12984\n73645 100000\n29658 44667\n90193 100000\n97603 100000\n63134 94692\n63766 95642\n65623 98436\n55294 82952\n78773 100000\n42392 63716\n1471 2251\n87910 100000\n4008 6020\n23878 35993\n50920 76442\n35769 53802\n1665 2536\n61025 91539\n5485 8230\n13284 20005\n43073 64735\n331 507\n42863 64421\n86583 100000\n47764 71723\n81279 100000\n36924 55565\n70123 100000\n52528 78821\n47731 71669\n3147 4757\n87436 100000\n64654 96969\n13017 19599\n70914 100000\n6749 10146\n50948 76486\n77227 100000\n31906 48053\n73503 100000\n44052 66195\n60933 91405\n86917 100000\n59183 88796\n84067 100000\n10653 16027\n20904 31517\n59594 89413\n3832 5770\n88606 100000\n26409 39776\n63368 95045\n5463 8202\n65411 98117\n16828 25367\n31828 47936\n30654 46172\n77521 100000\n93385 100000\n59245 88891\n1438 2202\n59235 88876\n31172 46951\n10625 15983\n60836 91263\n69169 100000\n55137 82715\n26255 39545\n66760 100000\n21377 32216\n67952 100000\n29729 44777\n98526 100000\n39589 59549\n387 596\n96869 100000\n44830 67345\n93388 100000\n88585 100000\n93882 100000\n46938 70487\n74611 100000\n76672 100000\n66446 99698\n46609 70006\n55186 82787\n60186 90294\n77047 100000\n61582 92351\n15259 22992\n53568 80371\n14996 22599\n35772 53806\n97870 100000\n62516 93772\n65792 98696\n88681 100000\n79045 100000\n36075 54259\n12521 18863\n13440 20239\n97896 100000\n82472 100000\n72523 100000\n5325 7994\n39328 59155\n72573 100000\n6566 9866\n18436 27770\n99984 100000\n49487 74294\n1076 1644\n41077 61768\n46001 69102\n21504 32408\n407 627\n62166 93244\n8209 12347\n38052 57252\n36354 54683\n95042 100000\n95679 100000\n97925 100000\n79599 100000\n68092 100000\n83348 100000\n49314 74036\n37306 56120\n82345 100000\n81380 100000\n30558 46028\n31500 47439\n20727 31255\n88294 100000\n77211 100000\n44478 66814\n53744 80641\n99257 100000\n9807 14761\n28959 43635\n89764 100000\n26857 40449\n64354 96517\n28600 43093\n65854 98791\n69106 100000\n99549 100000\n42944 64544\n61539 92289\n24352 36724\n22862 34465\n6822 10249\n89150 100000\n17788 26804\n15636 23564\n32094 48326\n82173 100000\n31249 47060\n86494 100000\n17111 25798\n35792 53837\n52382 78605\n50893 76401\n58187 87294\n44686 67128\n69878 100000\n49760 74696\n96576 100000\n56375 84565\n22594 34069\n50071 75153\n87195 100000\n3161 4779\n26557 39987\n14042 21163\n15891 23955\n80147 100000\n91515 100000\n58088 87145\n86538 100000\n12902 19424\n30539 46002\n23992 36170\n62696 94037\n13588 20471\n10043 15123\n3363 5083\n4769 7162\n79496 100000\n71050 100000\n71160 100000\n96599 100000\n73286 100000\n38987 58645\n55258 82894\n92384 100000\n57737 86614\n77372 100000\n6128 9212\n86559 100000\n1835 2794\n25573 38531\n14939 22520\n47715 71643\n61820 92717\n75159 100000\n97769 100000\n5513 8273\n80948 100000\n20579 31039\n8015 12051\n86335 100000\n99612 100000\n59378 89102\n82593 100000\n35675 53662\n70885 100000\n4508 6781\n12983 19544\n48571 72918\n45378 68166\n70807 100000\n50821 76294\n65539 98309\n94885 100000\n85156 100000\n75556 100000\n91161 100000\n55687 83537\n31943 48105\n78437 100000\n13657 20573\n28758 43340\n55964 83960\n63822 95729\n37495 56416\n22237 33526\n47071 70684\n33235 50020\n39067 58765\n79426 100000\n26738 40267\n98077 100000\n30277 45603\n21074 31766\n16716 25192\n54415 81644\n42201 63441\n39480 59387\n84635 100000\n32264 48582\n92890 100000\n61713 92554\n28047 42240\n78947 100000\n20754 31296\n97293 100000\n32988 49656\n41610 62553\n27471 41372\n16932 25526\n55088 82642\n31231 47035\n82740 100000\n3944 5928\n6626 9954\n74426 100000\n18447 27788\n71700 100000\n83101 100000\n90700 100000\n43142 64840\n9994 15047\n54885 82340\n97142 100000\n68844 100000\n98990 100000\n34627 52079\n38069 57280\n93541 100000\n69112 100000\n25580 38543\n14840 22373\n18341 27634\n21886 32990\n97157 100000\n51572 77421\n44363 66645\n66523 99812\n6642 9981\n12931 19465\n27565 41517\n97949 100000\n17058 25717\n73455 100000\n67945 100000\n26249 39537\n91799 100000\n1477 2262\n69029 100000\n60315 90488\n21301 32100\n36878 55493\n5767 8668\n75751 100000\n53534 80320\n52914 79388\n13679 20607\n82419 100000\n74789 100000\n10001 15059\n74824 100000\n11922 17966\n36611 55082\n93094 100000\n27134 40856\n33645 50620\n1223 1867\n13903 20948\n7081 10637\n94617 100000\n85761 100000\n74796 100000\n36879 55495\n97051 100000\n18182 27391\n38985 58643\n92187 100000\n67529 100000\n99419 100000\n24015 36204\n55769 83663\n89529 100000\n47054 70654\n95194 100000\n95812 100000\n70756 100000\n11259 16950\n47824 71816\n6620 9947\n51266 76959\n24048 36257\n26300 39611\n98132 100000\n91079 100000\n46587 69974\n17876 26940\n2788 4218\n16928 25519\n50994 76554\n28660 43185\n74309 100000\n64191 96282\n17499 26374\n15538 23411\n43939 66037\n36896 55523\n18750 28246\n95878 100000\n86326 100000\n62794 94183\n58403 87621\n27124 40840\n76178 100000\n88816 100000\n77567 100000\n86573 100000\n60626 90951\n73318 100000\n82466 100000\n84063 100000\n72481 100000\n47627 71510\n6971 10464\n53099 79676\n99719 100000\n83171 100000\n20842 31427\n32689 49219\n72527 100000\n48091 72218\n94255 100000\n32075 48296\n20133 30365\n57634 86464\n47778 71742\n98648 100000\n34431 51790\n69492 100000\n36910 55547\n49159 73801\n360 555\n24193 36475\n97431 100000\n40150 60389\n27540 41477\n7872 11833\n88660 100000\n55256 82891\n20409 30772\n61910 92856\n65254 97871\n66116 99193\n35822 53882\n25362 38212\n31894 48035\n90861 100000\n29139 43900\n3137 4742\n53520 80297\n89719 100000\n15723 23696\n88719 100000\n37190 55954\n71351 100000\n20739 31273\n43232 64978\n88542 100000\n27203 40964\n35010 52664\n24884 37498\n32789 49363\n50682 76078\n57043 85552\n2673 4045\n78394 100000\n75870 100000\n937 1431\n13426 20219\n3498 5286\n71147 100000\n86468 100000\n8391 12619\n51875 77873\n99864 100000\n24829 37416\n80436 100000\n18643 28088\n15326 23090\n58710 88085\n43665 65625\n31488 47419\n26880 40482\n95299 100000\n79119 100000\n17630 26564\n5397 8104\n52255 78420\n86995 100000\n80976 100000\n48334 72578\n47098 70729\n97827 100000\n71853 100000\n3427 5179\n50603 75962\n95547 100000\n2486 3759\n88243 100000\n86655 100000\n13995 21097\n68169 100000\n75756 100000\n65548 98323\n18878 28434\n1210 1848\n13599 20485\n99279 100000\n1539 2346\n62840 94250\n38122 57356\n22591 34064\n89272 100000\n67939 100000\n68280 100000\n41122 61835\n91512 100000\n42806 64334\n54662 82013\n94993 100000\n21903 33017\n69921 100000\n10841 16316\n93084 100000\n27416 41292\n9805 14759\n47373 71133\n76079 100000\n8694 13084\n667 1024\n20585 31047\n60309 90478\n75103 100000\n14999 22603\n91968 100000\n27173 40918\n64313 96457\n80852 100000\n52932 79414\n69108 100000\n56145 84218\n58072 87121\n39025 58698\n59599 89420\n26560 39990\n7151 10737\n32727 49273\n7342 11029\n63476 95204\n96790 100000\n49555 74391\n38848 58428\n844 1298\n10267 15456\n61861 92780\n27617 41596\n49093 73698\n66975 100000\n661 1013\n66889 100000\n50546 75878\n53626 80457\n73607 100000\n89748 100000\n71100 100000\n61341 91998\n48266 72481\n71605 100000\n60298 90462\n98623 100000\n63711 95554\n44672 67107\n75450 100000\n15842 23885\n44927 67496\n43120 64810\n49075 73673\n85196 100000\n82581 100000\n65650 98475\n14658 22096\n2799 4233\n11161 16795\n17453 26306\n49909 74909\n60663 91002\n84463 100000\n5176 7768\n18461 27810\n51320 77038\n50930 76458\n7321 10998\n33177 49931\n93397 100000\n26723 40246\n4932 7410\n33088 49804\n7893 11861\n53013 79538\n39193 58955\n85406 100000\n65304 97946\n34827 52381\n65942 98930\n27421 41299\n12330 18571\n8274 12439\n12665 19082\n50909 76426\n31921 48072\n89089 100000\n83788 100000\n35112 52814\n7955 11959\n28318 42662\n95782 100000\n98525 100000\n47549 71395\n94132 100000\n53499 80267\n61013 91521\n46930 70475\n57559 86346\n49153 73793\n16391 24706\n906 1390\n43614 65548\n5957 8953\n72298 100000\n25818 38896\n11231 16906\n66710 100000\n82840 100000\n75478 100000\n64761 97140\n8069 12135\n96702 100000\n77461 100000\n52758 79157\n9169 13791\n89876 100000\n40984 61628\n60841 91270\n98999 100000\n57145 85703\n8235 12383\n12927 19458\n90131 100000\n93130 100000\n86029 100000\n57983 86985\n88753 100000\n72200 100000\n8861 13336\n25981 39131\n16899 25476\n86747 100000\n10176 15318\n70017 100000\n89057 100000\n82925 100000\n51211 76882\n77102 100000\n60117 90191\n43463 65326\n14967 22560\n98692 100000\n91854 100000\n82760 100000\n59339 89040\n73439 100000\n86012 100000\n93349 100000\n14837 22368\n17911 26993\n75872 100000\n59376 89099\n39226 59002\n7998 12025\n52732 79113\n95482 100000\n13158 19815\n14771 22268\n65225 97827\n23891 36013\n51858 77846\n97672 100000\n68218 100000\n21770 32822\n63704 95543\n72235 100000\n98448 100000\n44680 67119\n41605 62544\n10941 16461\n866 1332\n50013 75065\n55150 82733\n82894 100000\n62979 94459\n91388 100000\n23695 35723\n5726 8600\n1493 2287\n89468 100000\n36633 55118\n77848 100000\n22310 33638\n50441 75728\n5647 8476\n54361 81563\n85613 100000\n95734 100000\n99021 100000\n18029 27161\n94906 100000\n13045 19643\n36085 54273\n93819 100000\n38351 57700\n11712 17652\n29584 44557\n86471 100000\n32770 49336\n89934 100000\n28929 43592\n91793 100000\n66205 99331\n89258 100000\n99512 100000\n78177 100000\n94901 100000\n55215 82830\n63313 94959\n50208 75365\n9615 14475\n43406 65244\n49758 74692\n55245 82874\n78075 100000\n78138 100000\n64274 96404\n83941 100000\n35306 53106\n93935 100000\n11727 17675\n12631 19031\n68414 100000\n40506 60917\n53785 80702\n87866 100000\n91178 100000\n64557 96825\n88422 100000\n88340 100000\n43256 65016\n55387 83082\n6097 9170\n20764 31309\n11397 17172\n38821 58389\n67901 100000\n34755 52273\n78453 100000\n17703 26673\n74882 100000\n86487 100000\n67889 100000\n45255 67981\n67658 100000\n22409 33788\n55407 83114\n31893 48034\n64779 97167\n1810 2758\n31191 46978\n79904 100000\n67032 100000\n53822 80758\n25913 39034\n25267 38074\n32167 48436\n10563 15893\n92281 100000\n51693 77608\n61458 92168\n82 124\n6603 9921\n89198 100000\n99965 100000\n87384 100000\n1953 2973\n80457 100000\n65614 98423\n30753 46322\n61735 92589\n89978 100000\n45571 68462\n78109 100000\n84756 100000\n13446 20251\n5883 8839\n80033 100000\n3799 5720\n63883 95816\n47080 70701\n67660 100000\n68337 100000\n77671 100000\n90926 100000\n64817 97222\n54387 81600\n93073 100000\n99234 100000\n518 791\n13642 20550\n73845 100000\n48959 73500\n18102 27273\n52567 78880\n70330 100000\n91750 100000\n24074 36295\n797 1229\n58504 87775\n81611 100000\n36535 54964\n27917 42049\n82617 100000\n62647 93963\n62350 93526\n75858 100000\n31000 46690\n64758 97137\n97443 100000\n69361 100000\n93717 100000\n71544 100000\n82267 100000\n94936 100000\n57301 85941\n18572 27982\n79387 100000\n8029 12073\n29431 44329\n92446 100000\n48326 72567\n69600 100000\n52647 78993\n86397 100000\n81234 100000\n42048 63212\n2177 3298\n99924 100000\n31227 47030\n9495 14290\n55484 83235\n54170 81289\n91810 100000\n58550 87840\n21152 31879\n54289 81464\n48186 72367\n93627 100000\n50497 75807\n56066 84106\n28924 43583\n95282 100000\n71511 100000\n23332 35178\n28137 42381\n81016 100000\n99620 100000\n39899 60021\n59807 89733\n21756 32801\n32516 48967\n85904 100000\n6466 9718\n77756 100000\n15670 23618\n20562 31017\n6734 10122\n37689 56702\n22167 33422\n65219 97819\n15875 23932\n91949 100000\n23773 35834\n6767 10171\n57686 86541\n89090 100000\n14937 22517\n71701 100000\n18511 27889\n30358 45727\n77175 100000\n83813 100000\n69346 100000\n85912 100000\n63246 94858\n3023 4568\n82743 100000\n95270 100000\n21026 31696\n54251 81410\n6506 9781\n53551 80348\n40034 60221\n47161 70818\n40873 61461\n9763 14696\n92378 100000\n14740 22225\n89432 100000\n89814 100000\n99277 100000\n38118 57352\n75199 100000\n84236 100000\n7197 10806\n80769 100000\n14922 22493\n6259 9409\n96738 100000\n81448 100000\n75712 100000\n23207 34981\n86100 100000\n57212 85805\n77653 100000\n7973 11985\n90321 100000\n4005 6017\n87846 100000\n80466 100000\n20927 31552\n85232 100000\n65584 98381\n80721 100000\n35568 53500\n82020 100000\n46334 69592\n73372 100000\n30865 46493\n24210 36503\n68922 100000\n44484 66824\n17265 26036\n55166 82754\n5417 8131\n68437 100000\n21726 32752\n91678 100000\n26443 39822\n43868 65929\n26175 39424\n74818 100000\n41928 63036\n23911 36045\n18144 27334\n87603 100000\n64995 97486\n33686 50683\n27615 41594\n9442 14205\n31342 47191\n31650 47675\n91340 100000\n59322 89012\n82343 100000\n55534 83309\n46647 70061\n79749 100000\n8484 12758\n42317 63603\n80683 100000\n21000 31658\n59019 88547\n9992 15043\n40822 61386\n46221 69430\n31457 47368\n6401 9616\n54832 82266\n64524 96773\n5774 8679\n70563 100000\n88119 100000\n66156 99257\n73015 100000\n62424 93637\n85028 100000\n74996 100000\n20442 30827\n62352 93529\n9981 15027\n83997 100000\n97564 100000\n5743 8630\n54583 81892\n92122 100000\n19033 28667\n68219 100000\n95150 100000\n84036 100000\n17749 26745\n7434 11171\n2805 4241\n88477 100000\n35587 53528\n5720 8590\n18134 27322\n87495 100000\n15907 23978\n19906 30021\n48852 73346\n31401 47289\n49416 74189\n93841 100000\n51284 76985\n32059 48272\n59132 88719\n47603 71475\n55537 83313\n20139 30374\n63155 94723\n3639 5484\n32280 48608\n76515 100000\n44987 67590\n37009 55690\n81789 100000\n77044 100000\n70184 100000\n27051 40735\n36172 54402\n81329 100000\n62257 93389\n44130 66305\n51849 77835\n93888 100000\n6013 9038\n62688 94026\n97494 100000\n93723 100000\n16101 24266\n26381 39734\n5398 8106\n44551 66926\n81876 100000\n34386 51724\n85423 100000\n11178 16822\n66524 99813\n34762 52285\n79200 100000\n77744 100000\n53773 80684\n94298 100000\n43818 65856\n94139 100000\n32243 48551\n24387 36779\n72083 100000\n24657 37162\n48460 72762\n59512 89287\n80149 100000\n40614 61078\n77060 100000\n40773 61315\n7952 11954\n26952 40587\n4359 6547\n7198 10807\n88724 100000\n77031 100000\n21474 32360\n48713 73138\n2465 3725\n82436 100000\n67757 100000\n65788 98690\n15356 23132\n3717 5597\n16968 25581\n42438 63782\n89128 100000\n85413 100000\n96236 100000\n93382 100000\n18507 27883\n4262 6400\n16144 24333\n89874 100000\n10010 15073\n86722 100000\n10564 15894\n58829 88267\n59157 88758\n89687 100000\n88380 100000\n73086 100000\n14738 22222\n32524 48979\n75741 100000\n96345 100000\n24221 36524\n57549 86331\n51004 76568\n87181 100000\n58512 87788\n40823 61387\n22698 34223\n79751 100000\n72633 100000\n59953 89952\n2645 4003\n73720 100000\n5970 8973\n48501 72820\n1022 1559\n65438 98155\n99252 100000\n8039 12088\n17787 26803\n44273 66513\n11617 17505\n74134 100000\n46994 70570\n58290 87442\n24517 36969\n88503 100000\n59600 89422\n949 1450\n56234 84344\n31366 47230\n85112 100000\n31436 47339\n21741 32776\n92427 100000\n9145 13756\n51422 77191\n79851 100000\n96089 100000\n40198 60458\n47027 70617\n18966 28564\n84684 100000\n90554 100000\n78506 100000\n99396 100000\n79506 100000\n46589 69977\n78228 100000\n52332 78537\n55163 82748\n44340 66612\n89310 100000\n44597 66997\n25460 38363\n9898 14902\n74745 100000\n33782 50829\n33505 50412\n40655 61141\n51344 77074\n69775 100000\n8322 12514\n13058 19663\n98643 100000\n57245 85853\n70482 100000\n6376 9579\n3683 5550\n92453 100000\n31551 47520\n74320 100000\n84989 100000\n43131 64825\n1812 2761\n45951 69030\n18958 28553\n7314 10985\n20093 30304\n43139 64835\n78334 100000\n84948 100000\n32866 49481\n9829 14793\n74573 100000\n95909 100000\n76544 100000\n78674 100000\n90046 100000\n669 1027\n8077 12149\n24720 37258\n71220 100000\n65845 98779\n59260 88911\n97642 100000\n17799 26819\n14276 21521\n69950 100000\n31087 46821\n36624 55103\n89427 100000\n64630 96934\n92284 100000\n50283 75483\n26887 40493\n21391 32235\n28085 42300\n19880 29980\n55859 83802\n46065 69202\n18349 27643\n33648 50623\n59397 89127\n91736 100000\n9149 13764\n32078 48300\n60085 90146\n92006 100000\n56024 84049\n23958 36114\n49824 74788\n83942 100000\n60854 91290\n15469 23303\n82528 100000\n84312 100000\n45014 67628\n43946 66046\n61178 91763\n62532 93793\n993 1516\n23457 35374\n96952 100000\n79888 100000\n40151 60391\n92604 100000\n89792 100000\n2715 4108\n1922 2922\n81000 100000\n61825 92723\n37149 55898\n49017 73588\n63032 94540\n83597 100000\n13250 19956\n21564 32502\n84588 100000\n67543 100000\n93079 100000\n45126 67792\n42663 64121\n35444 53311\n90454 100000\n42683 64148\n85638 100000\n14406 21716\n71231 100000\n83091 100000\n75681 100000\n40602 61062\n7548 11343\n48679 73082\n67068 100000\n83738 100000\n3037 4589\n72566 100000\n91755 100000\n34680 52162\n16833 25374\n20363 30704\n23070 34776\n49039 73620\n76857 100000\n83807 100000\n29743 44800\n80453 100000\n61007 91512\n13704 20643\n92085 100000\n9180 13806\n12821 19307\n68038 100000\n10403 15659\n67882 100000\n59043 88583\n21358 32187\n49106 73718\n23140 34875\n96301 100000\n19064 28713\n47255 70955\n71025 100000\n92571 100000\n90006 100000\n63909 95854\n38252 57557\n14415 21731\n25719 38743\n52786 79198\n42426 63767\n40100 60315\n40085 60295\n71518 100000\n70154 100000\n22122 33353\n58607 87926\n10324 15541\n41565 62485\n98461 100000\n89372 100000\n36557 54994\n43976 66087\n50031 75091\n5196 7796\n4716 7083\n61613 92396\n71086 100000\n82465 100000\n31869 47997\n97321 100000\n33910 51015\n13283 20004\n27572 41527\n53110 79691\n33930 51043\n24681 37198\n18539 27931\n83571 100000\n24326 36685\n61699 92532\n6987 10487\n10395 15649\n58606 87924\n51919 77938\n52273 78448\n4984 7484\n63490 95228\n83183 100000\n66302 99482\n14295 21550\n42263 63529\n77562 100000\n12121 18254\n49548 74382\n83352 100000\n6374 9576\n21424 32282\n75350 100000\n41563 62481\n33455 50340\n75408 100000\n3445 5205\n66684 100000\n54198 81332\n23063 34767\n97412 100000\n42144 63358\n93062 100000\n24954 37605\n47618 71496\n32779 49350\n63147 94712\n27758 41810\n29097 43839\n67826 100000\n75645 100000\n43572 65486\n27098 40805\n36551 54987\n28296 42627\n32496 48934\n84216 100000\n13492 20323\n52963 79465\n64402 96584\n30387 45772\n43028 64669\n42129 63334\n77464 100000\n30064 45291\n88338 100000\n22166 33420\n52169 78293\n16615 25039\n87392 100000\n38617 58094\n37016 55700\n8324 12518\n37865 56969\n31194 46981\n57947 86929\n52706 79074\n48083 72207\n21127 31841\n17119 25810\n58586 87892\n70986 100000\n60256 90400\n66714 100000\n37665 56666\n226 347\n24844 37438\n64292 96430\n7241 10874\n72446 100000\n48144 72300\n62520 93778\n81312 100000\n42421 63761\n71376 100000\n69058 100000\n88033 100000\n79549 100000\n91476 100000\n39884 59998\n94123 100000\n90741 100000\n17531 26419\n56132 84201\n45315 68075\n68780 100000\n59910 89891\n27803 41878\n40679 61175\n75023 100000\n55282 82932\n52416 78659\n79566 100000\n57002 85494\n59106 88679\n75979 100000\n55709 83572\n37543 56486\n4488 6749\n1196 1826\n60674 91020\n78989 100000\n82363 100000\n5358 8048\n6377 9580\n21812 32884\n61675 92496\n93366 100000\n89985 100000\n2053 3121\n44468 66801\n297 455\n23124 34851\n38229 57517\n1535 2342\n72167 100000\n73187 100000\n41764 62781\n29915 45060\n95615 100000\n59674 89530\n93321 100000\n22863 34467\n54181 81309\n76660 100000\n1071 1635\n48740 73182\n46320 69571\n84305 100000\n31347 47199\n19637 29600\n56894 85338\n81034 100000\n78646 100000\n81769 100000\n92690 100000\n48430 72715\n72727 100000\n61060 91588\n36588 55042\n15372 23157\n58465 87716\n34070 51258\n66843 100000\n61121 91674\n6089 9160\n55254 82888\n98621 100000\n89224 100000\n94733 100000\n61652 92462\n96309 100000\n75337 100000\n5538 8314\n11415 17202\n29221 44024\n15812 23838\n8782 13216\n76995 100000\n30781 46367\n92933 100000\n93077 100000\n43090 64761\n60293 90454\n68647 100000\n18289 27553\n3790 5708\n47705 71628\n43621 65560\n93919 100000\n29967 45140\n45374 68160\n67544 100000\n53566 80367\n3035 4586\n79585 100000\n89409 100000\n43109 64793\n74192 100000\n97942 100000\n37266 56062\n78231 100000\n34134 51343\n61984 92964\n56929 85393\n79341 100000\n69795 100000\n78297 100000\n50402 75667\n32606 49094\n36257 54526\n76456 100000\n12032 18130\n9603 14460\n111 166\n22660 34163\n58582 87887\n5769 8672\n55948 83936\n77080 100000\n88885 100000\n19295 29075\n75185 100000\n76194 100000\n37011 55693\n6527 9811\n32510 48956\n40262 60555\n64546 96806\n47177 70842\n79291 100000\n39126 58854\n14123 21285\n73171 100000\n64200 96296\n58325 87498\n68696 100000\n87304 100000\n90199 100000\n35176 52920\n47228 70912\n97937 100000\n12259 18464\n94276 100000\n50927 76454\n61537 92286\n92675 100000\n87000 100000\n57250 85862\n2286 3461\n76464 100000\n77383 100000\n237 365\n99999 100000\n10376 15619\n96664 100000\n89118 100000\n49089 73692\n15999 24109\n27635 41623\n33616 50574\n57714 86582\n8592 12930\n63401 95096\n7669 11527\n86483 100000\n79715 100000\n55564 83355\n23866 35977\n66200 99322\n64923 97383\n40327 60650\n66990 100000\n77092 100000\n17034 25679\n60166 90261\n14785 22289\n89469 100000\n33863 50944\n87988 100000\n87149 100000\n27481 41387\n11448 17243\n49524 74351\n69546 100000\n42117 63316\n56751 85127\n34155 51371\n78364 100000\n22910 34540\n79124 100000\n10106 15216\n52110 78209\n47958 72017\n93336 100000\n52719 79094\n64451 96656\n40077 60284\n10457 15738\n42603 64037\n66483 99751\n76621 100000\n40958 61587\n35709 53711\n28304 42639\n27284 41087\n10686 16079\n11852 17861\n82985 100000\n5514 8275\n89439 100000\n42341 63634\n29551 44506\n22904 34531\n7878 11840\n83285 100000\n83359 100000\n1709 2604\n2394 3621\n28179 42445\n40507 60919\n70753 100000\n19464 29341\n30688 46224\n5949 8942\n24752 37306\n5123 7695\n7635 11475\n69429 100000\n21540 32465\n31530 47484\n38991 58650\n64776 97162\n5567 8357\n68882 100000\n77511 100000\n47013 70597\n92655 100000\n5363 8055\n55623 83443\n37529 56469\n56813 85217\n58895 88358\n93856 100000\n8327 12522\n18932 28514\n61461 92172\n14750 22238\n38901 58514\n54042 81099\n1382 2117\n15895 23962\n88694 100000\n32918 49558\n28792 43390\n11841 17843\n82965 100000\n84281 100000\n38988 58646\n81345 100000\n31724 47785\n82627 100000\n79553 100000\n54091 81169\n27844 41939\n76886 100000\n89754 100000\n79595 100000\n45746 68731\n23333 35179\n63061 94581\n23402 35291\n74654 100000\n95100 100000\n76595 100000\n66425 99668\n12589 18963\n53865 80827\n39629 59612\n10138 15266\n55605 83418\n52617 78954\n65794 98700\n72296 100000\n39477 59381\n24601 37081\n60998 91498\n73693 100000\n87979 100000\n47355 71108\n26568 40002\n96631 100000\n12434 18730\n43892 65966\n29944 45104\n31010 46702\n73589 100000\n93711 100000\n25016 37699\n58474 87729\n39473 59374\n62181 93268\n8050 12105\n73429 100000\n86466 100000\n27846 41942\n88778 100000\n46771 70234\n81205 100000\n35260 53041\n69175 100000\n58593 87904\n5695 8551\n51618 77494\n31395 47278\n47638 71527\n14479 21827\n36996 55670\n72053 100000\n90655 100000\n73359 100000\n43830 65876\n57119 85664\n23418 35316\n52139 78250\n64276 96407\n37251 56042\n78678 100000\n38230 57519\n67455 100000\n1839 2801\n28614 43116\n10237 15410\n25882 38988\n10715 16123\n5591 8396\n27505 41423\n39723 59758\n44059 66204\n72001 100000\n71617 100000\n88862 100000\n80656 100000\n93941 100000\n49300 74014\n60786 91191\n16659 25105\n96231 100000\n51234 76914\n47017 70602\n99120 100000\n77357 100000\n96771 100000\n51680 77586\n4549 6843\n57555 86339\n47771 71733\n35686 53677\n85630 100000\n75400 100000\n45390 68183\n93251 100000\n48295 72518\n60228 90359\n76135 100000\n32225 48525\n90961 100000\n79417 100000\n74961 100000\n5523 8291\n29882 45012\n70328 100000\n21860 32954\n53932 80929\n98738 100000\n49343 74080\n38350 57699\n77477 100000\n23571 35541\n86023 100000\n33213 49985\n70032 100000\n89221 100000\n85103 100000\n50913 76433\n45866 68902\n15177 22864\n2844 4299\n33363 50206\n49733 74652\n65105 97651\n3669 5529\n79946 100000\n90670 100000\n78672 100000\n7951 11953\n38622 58103\n69770 100000\n95992 100000\n75598 100000\n85744 100000\n84452 100000\n65796 98703\n27695 41714\n96427 100000\n34812 52359\n40438 60816\n88756 100000\n56845 85266\n68398 100000\n39767 59824\n83112 100000\n37302 56116\n67254 100000\n27076 40773\n86564 100000\n41090 61786\n80292 100000\n58588 87896\n55248 82879\n87154 100000\n13112 19746\n20079 30283\n99472 100000\n82586 100000\n33437 50314\n47061 70666\n46492 69833\n55035 82561\n30990 46673\n31761 47835\n21531 32449\n94456 100000\n98445 100000\n18725 28207\n52492 78769\n40567 61011\n58526 87806\n17498 26373\n14852 22391\n56708 85067\n29890 45026\n40921 61531\n30069 45297\n85728 100000\n97715 100000\n14253 21485\n59207 88836\n21283 32072\n84159 100000\n31396 47280\n5691 8545\n24863 37464\n30111 45359\n87598 100000\n2134 3236\n78562 100000\n74853 100000\n47712 71638\n66560 99865\n22824 34409\n10676 16064\n24054 36267\n90107 100000\n83310 100000\n61632 92428\n26946 40576\n55761 83650\n98820 100000\n26520 39939\n25266 38072\n88221 100000\n68657 100000\n65277 97907\n8053 12108\n69715 100000\n77217 100000\n83354 100000\n27619 41599\n58268 87408\n89459 100000\n25858 38953\n8755 13174\n77229 100000\n79000 100000\n12883 19394\n89832 100000\n48652 73042\n90355 100000\n36567 55011\n26661 40148\n21159 31890\n35760 53790\n55261 82898\n63674 95498\n30439 45851\n1841 2805\n41121 61833\n49119 73741\n89474 100000\n60003 90027\n78580 100000\n90852 100000\n6196 9312\n48982 73534\n47915 71953\n23163 34911\n87999 100000\n41604 62543\n69694 100000\n2034 3093\n34472 51851\n74189 100000\n25067 37779\n7104 10669\n61 99\n88441 100000\n60509 90777\n55566 83358\n86341 100000\n67725 100000\n79318 100000\n84355 100000\n49308 74027\n11613 17499\n97277 100000\n29775 44851\n16532 24916\n52119 78223\n11247 16932\n20812 31382\n55565 83356\n11857 17869\n21015 31680\n87970 100000\n48970 73516\n86219 100000\n60082 90142\n11875 17896\n91464 100000\n73820 100000\n20632 31114\n18479 27841\n14470 21814\n90129 100000\n81569 100000\n34629 52081\n34572 51999\n44298 66550\n70345 100000\n75252 100000\n90437 100000\n32604 49091\n31786 47873\n99670 100000\n80777 100000\n91498 100000\n23701 35732\n88413 100000\n85727 100000\n322 493\n28637 43151\n20636 31122\n66776 100000\n10981 16522\n76395 100000\n62167 93245\n60175 90275\n86157 100000\n20994 31648\n89158 100000\n87644 100000\n23645 35650\n58791 88208\n6903 10367\n243 373\n17891 26965\n35976 54109\n38579 58035\n18152 27348\n11064 16646\n45647 68583\n19601 29550\n96259 100000\n6547 9842\n19328 29130\n70250 100000\n43079 64744\n60128 90207\n86215 100000\n37642 56633\n14152 21332\n27956 42108\n13013 19594\n94672 100000\n30164 45440\n89063 100000\n89262 100000\n41232 61999\n5829 8759\n2135 3238\n46415 69718\n11507 17338\n77199 100000\n90856 100000\n54561 81858\n51844 77828\n94320 100000\n74782 100000\n46969 70534\n40612 61075\n20537 30974\n72846 100000\n83660 100000\n26926 40546\n7109 10675\n1903 2895\n39351 59191\n20234 30514\n46353 69621\n39361 59208\n80363 100000\n37784 56852\n53096 79672\n53276 79928\n50942 76477\n33826 50894\n42332 63622\n74695 100000\n41461 62331\n43834 65882\n97837 100000\n61225 91830\n34062 51245\n80671 100000\n3367 5088\n17133 25835\n86136 100000\n94765 100000\n41533 62439\n223 343\n26161 39403\n74183 100000\n97122 100000\n2824 4269\n25516 38451\n97104 100000\n16264 24517\n84559 100000\n1456 2228\n75360 100000\n88531 100000\n17220 25967\n46371 69652\n73605 100000\n26642 40116\n21519 32429\n57422 86138\n85720 100000\n96791 100000\n75388 100000\n15877 23935\n38419 57804\n79354 100000\n47024 70612\n55218 82835\n71760 100000\n65401 98100\n11947 18004\n25814 38889\n25285 38096\n24665 37174\n37135 55876\n88985 100000\n38254 57560\n6614 9939\n8655 13027\n50725 76149\n5349 8030\n78222 100000\n11951 18009\n58158 87249\n60439 90672\n92837 100000\n21874 32974\n89981 100000\n59389 89117\n2653 4015\n77495 100000\n16971 25586\n70648 100000\n85402 100000\n87954 100000\n39919 60050\n39141 58878\n9973 15014\n46744 70196\n77589 100000\n37386 56249\n40831 61397\n70478 100000\n35762 53792\n37741 56786\n47307 71033\n58222 87343\n52829 79261\n65384 98072\n28278 42600\n17488 26357\n78424 100000\n68502 100000\n27716 41744\n843 1296\n79613 100000\n34705 52197\n93628 100000\n24768 37327\n74829 100000\n94418 100000\n89574 100000\n34367 51694\n41310 62112\n32349 48711\n2044 3107\n93883 100000\n44229 66451\n26230 39504\n11340 17078\n18383 27687\n83545 100000\n5157 7739\n2418 3653\n96532 100000\n46902 70432\n75000 100000\n79186 100000\n35348 53169\n4246 6375\n69893 100000\n41707 62699\n96967 100000\n58871 88324\n99551 100000\n33852 50928\n59761 89665\n43381 65208\n63460 95179\n2331 3529\n36699 55221\n71333 100000\n45119 67783\n2312 3503\n77930 100000\n92807 100000\n35647 53621\n20374 30719\n12039 18139\n21719 32743\n83667 100000\n28442 42853\n10780 16224\n50341 75573\n95317 100000\n42119 63319\n35259 53039\n44897 67455\n89242 100000\n79679 100000\n34365 51690\n52720 79095\n8537 12841\n49553 74389\n26665 40154\n96248 100000\n56403 84607\n37455 56359\n82002 100000\n79987 100000\n12533 18881\n93481 100000\n9939 14965\n67883 100000\n40666 61160\n77296 100000\n52219 78365\n78163 100000\n66956 100000\n37006 55685\n74041 100000\n90868 100000\n17132 25834\n79576 100000\n41693 62681\n55521 83291\n31443 47349\n54402 81625\n41875 62957\n754 1159\n26220 39490\n87969 100000\n94119 100000\n19933 30064\n47626 71509\n51080 76680\n66215 99346\n39504 59417\n52713 79086\n45713 68681\n42490 63859\n34298 51589\n52548 78849\n1353 2067\n2021 3075\n61000 91501\n18996 28610\n36230 54490\n8757 13178\n65755 98640\n45136 67806\n3936 5914\n11580 17450\n35140 52858\n69977 100000\n57316 85968\n10832 16302\n80320 100000\n91081 100000\n50020 75074\n25048 37752\n63735 95591\n28561 43035\n98081 100000\n16540 24927\n26695 40202\n82509 100000\n61546 92299\n42764 64271\n7711 11591\n60490 90749\n26177 39426\n13800 20788\n57975 86973\n27393 41258\n52287 78470\n68901 100000\n93425 100000\n65793 98698\n33062 49765\n30229 45533\n81443 100000\n29700 44730\n54829 82261\n59262 88914\n35869 53951\n55582 83383\n42718 64203\n37288 56094\n36698 55220\n17203 25942\n98524 100000\n17146 25855\n56195 84282\n56753 85129\n32096 48329\n61436 92138\n89773 100000\n6967 10459\n37478 56389\n60914 91377\n23103 34823\n18564 27971\n6851 10291\n4352 6536\n43823 65865\n46081 69225\n82107 100000\n34272 51545\n55079 82628\n19987 30142\n79128 100000\n72400 100000\n95073 100000\n57842 86768\n57061 85579\n43439 65292\n15585 23485\n88354 100000\n57323 85980\n26074 39270\n14739 22224\n64846 97268\n54283 81455\n64089 96138\n16363 24663\n59087 88651\n97604 100000\n50659 76042\n91283 100000\n70023 100000\n22479 33893\n30402 45794\n49954 74975\n3319 5015\n30038 45247\n90174 100000\n48404 72678\n35309 53110\n15367 23149\n47015 70600\n88752 100000\n381 585\n83855 100000\n12486 18813\n1035 1578\n87703 100000\n58704 88075\n71786 100000\n68508 100000\n73463 100000\n26859 40452\n22866 34472\n36078 54263\n72324 100000\n72436 100000\n11897 17928\n38766 58313\n23313 35149\n73677 100000\n17794 26813\n22347 33694\n11991 18066\n3369 5091\n85161 100000\n64256 96379\n22656 34158\n41396 62233\n87270 100000\n11973 18042\n34886 52476\n89139 100000\n44282 66527\n34893 52486\n62452 93680\n10901 16405\n90152 100000\n93423 100000\n95710 100000\n69929 100000\n76404 100000\n59493 89259\n5495 8247\n91037 100000\n62694 94034\n82602 100000\n61114 91663\n47265 70971\n13980 21072\n88676 100000\n25908 39026\n51512 77331\n49269 73969\n48929 73459\n49641 74516\n1375 2105\n90491 100000\n11812 17800\n30883 46522\n97304 100000\n58976 88483\n77824 100000\n80826 100000\n94951 100000\n97012 100000\n60338 90520\n15900 23969\n66535 99829\n75474 100000\n48472 72779\n57354 86032\n61834 92738\n4095 6147\n88475 100000\n5299 7954\n60894 91348\n21337 32154\n19410 29257\n20082 30287\n91210 100000\n44957 67542\n98852 100000\n53887 80861\n75349 100000\n84519 100000\n10719 16130\n45995 69094\n61011 91519\n1898 2889\n59930 89920\n65982 98990\n32512 48960\n18828 28360\n41918 63019\n64365 96529\n9128 13728\n49897 74893\n55701 83559\n81133 100000\n15924 24003\n64176 96261\n66999 100000\n20117 30339\n86206 100000\n45373 68159\n25504 38433\n7797 11716\n40977 61614\n64599 96885\n32035 48238\n83140 100000\n26048 39234\n72107 100000\n83760 100000\n77630 100000\n32171 48442\n52545 78846\n65592 98395\n41433 62286\n49776 74720\n86108 100000\n56770 85156\n51371 77116\n66380 99602\n93592 100000\n16622 25050\n26391 39747\n70410 100000\n52264 78434\n3156 4770\n86523 100000\n73962 100000\n1860 2834\n832 1278\n32786 49360\n55932 83913\n61936 92892\n60850 91284\n9456 14225\n97716 100000\n53122 79706\n30391 45779\n18739 28226\n56370 84558\n6293 9457\n54341 81534\n23624 35613\n41392 62227\n8083 12156\n44511 66860\n13840 20849\n19457 29331\n89523 100000\n16958 25567\n26899 40511\n50269 75461\n85579 100000\n61484 92208\n22846 34441\n76548 100000\n45662 68604\n67957 100000\n44014 66141\n206 315\n46757 70213\n38457 57860\n31233 47039\n61828 92729\n45045 67672\n77363 100000\n69760 100000\n52318 78518\n41202 61953\n1103 1686\n65428 98141\n90620 100000\n81210 100000\n1723 2625\n4024 6043\n90304 100000\n96980 100000\n56659 84994\n67916 100000\n66378 99598\n16656 25102\n49706 74613\n46798 70278\n40222 60495\n63195 94783\n66762 100000\n12509 18847\n96491 100000\n94636 100000\n7723 11608\n96271 100000\n31296 47126\n98482 100000\n82914 100000\n33822 50888\n85194 100000\n27554 41498\n84950 100000\n46290 69529\n47828 71822\n13236 19935\n93097 100000\n23861 35972\n58335 87512\n18063 27215\n57159 85723\n55888 83847\n28847 43476\n92959 100000\n71279 100000\n68476 100000\n32877 49499\n6314 9489\n47180 70845\n95500 100000\n36091 54283\n96243 100000\n87514 100000\n88879 100000\n44077 66232\n26135 39367\n51487 77293\n17769 26778\n21819 32893\n61478 92199\n23692 35720\n60563 90851\n21585 32538\n13246 19952\n4956 7443\n77974 100000\n53097 79674\n84658 100000\n12919 19446\n70995 100000\n66433 99682\n8442 12694\n40572 61018\n71669 100000\n29837 44943\n95613 100000\n25511 38443\n4450 6692\n86867 100000\n53767 80675\n20414 30781\n32474 48907\n2462 3721\n4322 6495\n40570 61016\n75431 100000\n46852 70358\n74615 100000\n48549 72890\n92787 100000\n62740 94101\n93250 100000\n90042 100000\n62227 93344\n17091 25765\n2052 3119\n74237 100000\n62131 93187\n40789 61335\n16128 24305\n77701 100000\n57818 86730\n51254 76941\n8852 13322\n26373 39722\n67446 100000\n71213 100000\n48461 72763\n36414 54778\n11603 17484\n56689 85039\n47276 70988\n35667 53651\n740 1138\n2333 3532\n25738 38771\n36909 55545\n81305 100000\n15755 23748\n73584 100000\n27278 41079\n85498 100000\n84261 100000\n74336 100000\n88102 100000\n45265 67996\n12453 18761\n40260 60552\n73574 100000\n72469 100000\n75471 100000\n24204 36494\n50683 76079\n9799 14750\n99368 100000\n26188 39445\n75944 100000\n73682 100000\n50664 76051\n45825 68844\n20455 30846\n9192 13824\n96110 100000\n20561 31015\n31109 46855\n70658 100000\n95408 100000\n53590 80403\n3515 5311\n49601 74459\n47931 71977\n52356 78571\n22924 34559\n38672 58175\n63879 95809\n13847 20861\n82351 100000\n4963 7452\n79296 100000\n96744 100000\n80424 100000\n29836 44941\n71984 100000\n16744 25232\n9688 14590\n2591 3920\n86365 100000\n35741 53760\n23873 35985\n66223 99359\n54984 82489\n77358 100000\n75888 100000\n1521 2322\n11036 16603\n25265 38070\n5568 8359\n84230 100000\n51755 77701\n95551 100000\n13210 19894\n67546 100000\n70506 100000\n44286 66534\n63602 95391\n70467 100000\n34451 51824\n4210 6321\n51060 76652\n27072 40767\n91463 100000\n75768 100000\n78601 100000\n72079 100000\n51547 77383\n69704 100000\n8194 12323\n16341 24634\n87371 100000\n26125 39355\n9542 14367\n17190 25923\n34325 51633\n30394 45783\n99004 100000\n53554 80351\n65174 97753\n28828 43446\n19275 29040\n1124 1719\n32939 49588\n32321 48671\n64 104\n77011 100000\n12562 18923\n39378 59232\n95209 100000\n95333 100000\n22057 33248\n78082 100000\n26742 40275\n33106 49829\n43509 65389\n63110 94658\n46831 70330\n37237 56019\n96193 100000\n20405 30768\n21109 31816\n10003 15062\n93207 100000\n86465 100000\n42237 63493\n95108 100000\n58938 88427\n99497 100000\n21477 32365\n62280 93422\n55397 83098\n76912 100000\n59689 89556\n12220 18403\n93301 100000\n7227 10851\n41822 62871\n43784 65806\n15884 23944\n52467 78733\n44510 66859\n60433 90662\n52541 78839\n73493 100000\n73260 100000\n97241 100000\n13397 20175\n29640 44639\n60214 90336\n5836 8768\n57266 85886\n40845 61416\n25189 37955\n71029 100000\n15154 22833\n62784 94165\n9741 14668\n98874 100000\n79890 100000\n11492 17314\n577 884\n9505 14307\n76148 100000\n61320 91969\n38510 57932\n51630 77511\n95743 100000\n51380 77128\n25335 38172\n55498 83254\n19650 29623\n15080 22721\n13418 20208\n69228 100000\n39869 59973\n4370 6563\n37715 56746\n91131 100000\n88349 100000\n35782 53821\n34264 51532\n83933 100000\n86112 100000\n29745 44803\n94847 100000\n55626 83447\n31979 48153\n97144 100000\n53282 79937\n31946 48108\n19456 29330\n45155 67834\n36795 55368\n67700 100000\n45331 68098\n48031 72126\n31415 47308\n82457 100000\n9945 14973\n44578 66968\n22313 33641\n72170 100000\n83803 100000\n67235 100000\n21180 31916\n40423 60795\n95494 100000\n98417 100000\n53253 79894\n58114 87183\n88167 100000\n14882 22434\n10516 15823\n10879 16373\n73465 100000\n40525 60948\n2889 4365\n94691 100000\n30724 46275\n22657 34159\n79282 100000\n90031 100000\n80745 100000\n24856 37454\n50314 75529\n92847 100000\n69751 100000\n61847 92760\n790 1217\n95564 100000\n87978 100000\n68724 100000\n47809 71793\n9208 13847\n79943 100000\n40447 60831\n55603 83414\n68166 100000\n45590 68492\n75109 100000\n54716 82094\n21536 32457\n45241 67962\n98028 100000\n71625 100000\n90800 100000\n28000 42170\n6848 10286\n87448 100000\n45356 68136\n41933 63044\n29006 43702\n43063 64719\n19677 29666\n65454 98176\n79001 100000\n75083 100000\n62826 94226\n81198 100000\n26412 39779\n62695 94035\n69829 100000\n54871 82319\n98656 100000\n8660 13035\n5719 8588\n51367 77110\n75477 100000\n3455 5219\n25707 38725\n81911 100000\n28102 42325\n77647 100000\n15743 23729\n81151 100000\n28958 43634\n71730 100000\n84184 100000\n71192 100000\n16200 24421\n57442 86167\n40983 61626\n45935 69005\n60572 90866\n79463 100000\n36256 54524\n9984 15032\n56954 85429\n35670 53655\n57797 86703\n41140 61860\n76698 100000\n99930 100000\n17296 26080\n81486 100000\n96291 100000\n1865 2843\n88568 100000\n72146 100000\n73608 100000\n14343 21613\n83357 100000\n41469 62343\n66942 100000\n56772 85159\n87449 100000\n96655 100000\n72185 100000\n84807 100000\n81890 100000\n16471 24822\n59472 89231\n41517 62416\n32552 49019\n48539 72875\n46620 70022\n68282 100000\n93019 100000\n95823 100000\n21091 31790\n28238 42537\n24629 37120\n63213 94809\n40191 60447\n43956 66060\n18038 27174\n94578 100000\n91881 100000\n50021 75076\n85829 100000\n592 908\n2421 3657\n5662 8501\n94994 100000\n25539 38482\n23792 35864\n20921 31543\n77544 100000\n20607 31079\n44158 66345\n71978 100000\n39452 59342\n13768 20744\n43591 65514\n35767 53799\n59206 88834\n48857 73354\n48126 72273\n38925 58550\n14829 22354\n12740 19197\n80928 100000\n81730 100000\n68300 100000\n54286 81461\n81694 100000\n63255 94870\n81651 100000\n97258 100000\n50929 76457\n76365 100000\n26521 39940\n3407 5148\n93467 100000\n40722 61239\n90638 100000\n78173 100000\n56719 85083\n41042 61717\n38357 57707\n36742 55287\n89285 100000\n28673 43210\n18895 28459\n45073 67714\n12312 18545\n54692 82057\n71087 100000\n56440 84660\n41896 62990\n55990 83997\n67555 100000\n93502 100000\n30769 46351\n6634 9968\n85566 100000\n73072 100000\n27648 41645\n61833 92736\n30960 46637\n33443 50323\n86129 100000\n840 1290\n87890 100000\n29090 43827\n63177 94757\n17513 26393\n36198 54441\n20476 30880\n53451 80191\n18795 28311\n65046 97563\n29724 44768\n67334 100000\n49197 73862\n79737 100000\n48271 72489\n76320 100000\n91409 100000\n37420 56302\n24042 36249\n33857 50935\n68517 100000\n60041 90083\n23524 35475\n55572 83367\n9298 13991\n46086 69233\n73235 100000\n61875 92800\n77498 100000\n81277 100000\n10713 16121\n35620 53581\n72338 100000\n27748 41793\n95903 100000\n60147 90234\n76691 100000\n70905 100000\n26584 40023\n72899 100000\n41456 62323\n66800 100000\n28993 43684\n30936 46599\n40326 60649\n43400 65236\n12099 18225\n55951 83940\n5075 7624\n30139 45402\n11158 16791\n85225 100000\n46159 69340\n29666 44677\n22445 33842\n62699 94042\n390 601\n70164 100000\n13029 19617\n61604 92383\n91827 100000\n70097 100000\n33354 50193\n89068 100000\n56804 85204\n71058 100000\n57895 86852\n16426 24755\n82881 100000\n35197 52954\n96516 100000\n42460 63816\n70713 100000\n62634 93947\n44126 66301\n71601 100000\n23226 35010\n35509 53410\n32036 48240\n85155 100000\n49671 74560\n65943 98931\n15628 23549\n71108 100000\n28522 42968\n44612 67018\n72301 100000\n95305 100000\n85059 100000\n57003 85495\n49424 74200\n80727 100000\n54301 81482\n83423 100000\n66384 99608\n11387 17154\n19821 29884\n10594 15936\n21083 31780\n55023 82545\n40535 60962\n82445 100000\n98029 100000\n48275 72494\n94615 100000\n18869 28421\n32402 48792\n48272 72490\n2366 3584\n25050 37754\n17510 26389\n36892 55517\n78288 100000\n99007 100000\n64572 96848\n58472 87726\n88406 100000\n72922 100000\n81323 100000\n6049 9098\n9378 14106\n90087 100000\n65427 98140\n15741 23725\n53292 79951\n78251 100000\n35180 52927\n82759 100000\n96139 100000\n43888 65959\n44242 66469\n12294 18519\n42264 63530\n26226 39499\n53834 80778\n82033 100000\n64840 97258\n8449 12707\n36911 55549\n83968 100000\n87701 100000\n59161 88762\n80918 100000\n84267 100000\n26858 40451\n90306 100000\n27567 41520\n41277 62065\n55669 83512\n67285 100000\n83465 100000\n70973 100000\n70200 100000\n59110 88685\n49530 74358\n65452 98174\n96974 100000\n24621 37109\n13225 19917\n27576 41532\n29450 44355\n35563 53491\n50097 75194\n1257 1915\n7833 11772\n77345 100000\n55161 82746\n98728 100000\n4900 7363\n89370 100000\n40950 61574\n90066 100000\n64695 97034\n26873 40472\n45620 68541\n75261 100000\n867 1333\n85240 100000\n38303 57628\n53586 80398\n78728 100000\n5128 7700\n63767 95643\n34308 51606\n13113 19748\n55171 82762\n19859 29943\n29197 43993\n75399 100000\n33941 51060\n35569 53502\n89591 100000\n64149 96221\n37844 56937\n67764 100000\n76123 100000\n39444 59328\n20329 30647\n16091 24250\n63605 95396\n50732 76159\n21534 32453\n30304 45649\n92290 100000\n89400 100000\n99810 100000\n37525 56462\n13464 20282\n53807 80737\n16629 25061\n78257 100000\n34194 51427\n20457 30849\n88226 100000\n87256 100000\n37779 56844\n18449 27791\n9927 14949\n72796 100000\n3470 5241\n60689 91041\n79555 100000\n25829 38911\n44543 66913\n29472 44387\n44584 66976\n27335 41168\n13262 19973\n30393 45782\n86166 100000\n77677 100000\n69178 100000\n58250 87383\n4803 7216\n64706 97050\n43633 65577\n56110 84168\n81266 100000\n31459 47371\n35910 54011\n79994 100000\n41507 62401\n24222 36526\n94303 100000\n70819 100000\n71610 100000\n5117 7685\n31620 47634\n61400 92087\n7442 11183\n5701 8561\n41640 62598\n69577 100000\n25150 37900\n55726 83597\n77086 100000\n10296 15502\n64250 96370\n77120 100000\n91655 100000\n30415 45813\n39998 60168\n47239 70931\n48154 72316\n20988 31638\n75030 100000\n84412 100000\n92045 100000\n54618 81946\n29237 44048\n25127 37863\n89059 100000\n14289 21542\n30677 46208\n77560 100000\n52269 78441\n57440 86165\n58763 88171\n4201 6309\n61671 92490\n3136 4740\n25419 38297\n964 1475\n43910 65992\n77503 100000\n83430 100000\n1892 2881\n72696 100000\n12761 19225\n29520 44461\n79183 100000\n19446 29314\n64435 96635\n6072 9134\n47397 71169\n93568 100000\n81834 100000\n23629 35622\n75936 100000\n16231 24469\n83865 100000\n1634 2488\n22982 34646\n94874 100000\n30853 46471\n25795 38859\n6500 9772\n80592 100000\n36181 54418\n27964 42120\n52828 79259\n73978 100000\n39276 59075\n53605 80427\n74483 100000\n43415 65258\n76851 100000\n45414 68218\n20115 30335\n25233 38020\n56915 85369\n55305 82970\n43975 66086\n36871 55483\n8801 13246\n60163 90257\n41054 61735\n53933 80931\n68374 100000\n67704 100000\n35573 53508\n26239 39517\n10250 15431\n78012 100000\n19403 29247\n35431 53293\n64026 96036\n41398 62235\n66124 99206\n91543 100000\n39867 59969\n22011 33179\n13167 19830\n31862 47986\n94774 100000\n92230 100000\n70997 100000\n45617 68537\n16886 25456\n56031 84060\n84335 100000\n76217 100000\n87480 100000\n80469 100000\n99193 100000\n11163 16799\n93739 100000\n2910 4398\n95755 100000\n49697 74600\n12790 19263\n85830 100000\n43519 65402\n18310 27587\n35763 53793\n80359 100000\n51650 77540\n95063 100000\n26006 39167\n42946 64548\n27951 42100\n11969 18035\n64696 97035\n23764 35821\n64649 96962\n11891 17919\n13692 20625\n14970 22566\n97677 100000\n94548 100000\n80049 100000\n87669 100000\n58493 87758\n66348 99554\n62192 93288\n70359 100000\n73386 100000\n78564 100000\n16004 24116\n3419 5163\n61787 92668\n17714 26691\n36834 55424\n50327 75552\n7209 10825\n53125 79710\n99341 100000\n48562 72905\n89847 100000\n19978 30131\n82331 100000\n31512 47457\n3450 5213\n79840 100000\n44416 66726\n54605 81929\n7621 11455\n92181 100000\n50245 75426\n15029 22648\n82789 100000\n37761 56816\n52450 78707\n71143 100000\n82245 100000\n34456 51831\n49937 74951\n22555 34002\n22216 33493\n54335 81528\n72179 100000\n59883 89852\n36549 54984\n4845 7279\n82972 100000\n93220 100000\n73027 100000\n81872 100000\n69858 100000\n90236 100000\n4437 6670\n12228 18416\n68403 100000\n55886 83844\n1350 2062\n6628 9958\n65641 98460\n45114 67776\n14092 21239\n81992 100000\n93615 100000\n56601 84906\n72205 100000\n44600 67001\n70975 100000\n94685 100000\n58830 88268\n49250 73940\n19270 29033\n57419 86133\n64502 96737\n29217 44020\n86955 100000\n94399 100000\n53186 79801\n34192 51425\n9977 15020\n91972 100000\n93923 100000\n73025 100000\n57583 86387\n24478 36913\n99314 100000\n65048 97566\n29995 45183\n92137 100000\n54656 82004\n48583 72935\n132 199\n66520 99808\n86569 100000\n76498 100000\n84901 100000\n6454 9699\n12132 18270\n8844 13310\n78089 100000\n72586 100000\n18641 28085\n89352 100000\n13428 20222\n479 733\n73368 100000\n9179 13805\n24012 36200\n90134 100000\n49950 74970\n15657 23596\n53442 80175\n51672 77575\n53985 81012\n1745 2655\n48762 73215\n66908 100000\n30089 45327\n95589 100000\n22223 33504\n66335 99535\n79130 100000\n99154 100000\n83817 100000\n51491 77298\n7334 11018\n24781 37346\n62964 94437\n7647 11492\n36141 54357\n8301 12480\n28275 42596\n5305 7964\n43160 64867\n25943 39076\n52949 79445\n47358 71112\n54031 81081\n33695 50698\n45779 68776\n66515 99800\n53814 80747\n35399 53246\n79241 100000\n73939 100000\n942 1438\n60202 90317\n17532 26420\n690 1058\n64022 96030\n71428 100000\n12413 18698\n51793 77755\n7388 11101\n16024 24148\n63491 95230\n75063 100000\n5737 8618\n92965 100000\n41515 62413\n12810 19292\n24485 36923\n9352 14070\n81841 100000\n25879 38985\n62751 94119\n2935 4438\n81646 100000\n64091 96140\n29674 44690\n98584 100000\n99439 100000\n60916 91380\n23960 36118\n14585 21984\n35905 54003\n24115 36359\n83136 100000\n87300 100000\n98791 100000\n36577 55026\n62723 94078\n97553 100000\n67558 100000\n44921 67488\n53142 79737\n57009 85504\n87844 100000\n90662 100000\n60152 90241\n37470 56378\n61233 91842\n99964 100000\n77551 100000\n88507 100000\n99520 100000\n59909 89890\n85883 100000\n76944 100000\n90167 100000\n38723 58249\n73461 100000\n44102 66268\n94153 100000\n10047 15130\n77540 100000\n94347 100000\n37423 56307\n2001 3043\n57708 86573\n28989 43679\n7028 10548\n13772 20750\n60383 90585\n30231 45537\n89560 100000\n90161 100000\n3406 5147\n13068 19679\n88238 100000\n40888 61484\n98837 100000\n87185 100000\n85442 100000\n64390 96563\n16186 24400\n88326 100000\n22358 33709\n352 541\n94037 100000\n66411 99646\n90954 100000\n17154 25869\n88626 100000\n95383 100000\n66716 100000\n37875 56986\n3823 5757\n48986 73540\n54549 81840\n52578 78897\n41690 62676\n86994 100000\n54931 82407\n81976 100000\n992 1515\n45476 68310\n40946 61567\n32077 48299\n40826 61391\n66005 99021\n92470 100000\n53056 79606\n82165 100000\n75154 100000\n3329 5031\n12546 18898\n78990 100000\n57428 86148\n60012 90043\n77334 100000\n30712 46260\n50306 75518\n78560 100000\n63067 94589\n82729 100000\n90669 100000\n66023 99048\n58816 88244\n1973 3003\n70313 100000\n35464 53343\n73825 100000\n17390 26215\n74370 100000\n35652 53629\n10444 15719\n44701 67150\n80123 100000\n5365 8057\n9089 13672\n67794 100000\n94791 100000\n81726 100000\n90229 100000\n56576 84872\n74270 100000\n27593 41557\n4475 6730\n92197 100000\n522 798\n64160 96237\n68008 100000\n21011 31674\n65546 98320\n43222 64962\n43373 65196\n31658 47685\n76656 100000\n97772 100000\n38359 57711\n56188 84274\n64215 96320\n18900 28466\n5399 8107\n149 225\n49177 73828\n70694 100000\n84424 100000\n55827 83749\n2826 4273\n39965 60119\n94586 100000\n96292 100000\n80364 100000\n51397 77154\n75643 100000\n49805 74762\n25304 38125\n85838 100000\n1905 2898\n25008 37687\n15189 22885\n49464 74260\n15015 22628\n20565 31021\n24895 37515\n78711 100000\n84453 100000\n4286 6439\n38857 58441\n91191 100000\n41809 62852\n22204 33477\n99278 100000\n10569 15902\n29329 44188\n92694 100000\n65457 98182\n91974 100000\n89269 100000\n34224 51474\n83639 100000\n72789 100000\n94627 100000\n73633 100000\n74814 100000\n52064 78145\n7364 11061\n90525 100000\n5796 8711\n22438 33831\n53389 80097\n85033 100000\n70392 100000\n72856 100000\n45297 68045\n45784 68784\n35373 53208\n82254 100000\n16788 25306\n63341 95001\n74502 100000\n50068 75148\n49853 74831\n25440 38331\n88532 100000\n66502 99783\n15385 23175\n26 41\n76990 100000\n25155 37907\n55688 83539\n30816 46421\n49547 74381\n70404 100000\n78938 100000\n15036 22658\n51944 77977\n59406 89139\n15043 22667\n20525 30957\n73371 100000\n35275 53064\n80418 100000\n27102 40812\n86158 100000\n9532 14351\n54526 81805\n68705 100000\n42483 63849\n5993 9009\n78791 100000\n34011 51170\n883 1355\n32702 49236\n22321 33653\n69693 100000\n46556 69927\n38426 57813\n33617 50576\n72232 100000\n31450 47358\n85528 100000\n8336 12534\n30185 45468\n28428 42832\n49972 75003\n88116 100000\n76610 100000\n36623 55101\n23039 34733\n52403 78642\n57383 86078\n30747 46315\n22352 33700\n11505 17336\n36954 55606\n19661 29639\n42831 64370\n95703 100000\n72858 100000\n34701 52192\n77986 100000\n82542 100000\n77918 100000\n79 121\n46815 70306\n51392 77146\n61243 91861\n20024 30196\n4236 6360\n51471 77267\n4879 7330\n24180 36453\n89502 100000\n46934 70481\n66694 100000\n36555 54992\n41118 61829\n33230 50011\n11447 17242\n98631 100000\n74444 100000\n26727 40253\n62252 93381\n73712 100000\n71193 100000\n92127 100000\n61046 91568\n5181 7774\n87654 100000\n74616 100000\n61144 91714\n73760 100000\n58461 87711\n6234 9370\n86024 100000\n52349 78561\n43913 65996\n47023 70611\n69947 100000\n40496 60902\n1287 1959\n85812 100000\n52495 78774\n23386 35263\n63947 95909\n26814 40381\n34931 52545\n14300 21556\n99655 100000\n95667 100000\n3592 5418\n35280 53069\n2086 3167\n51461 77250\n39547 59480\n21252 32022\n21104 31807\n30470 45900\n82918 100000\n54727 82109\n69666 100000\n88389 100000\n25546 38490\n56722 85088\n96079 100000\n26907 40524\n14189 21384\n8344 12546\n48563 72906\n61602 92381\n3920 5890\n91947 100000\n25596 38565\n5367 8061\n44446 66768\n78638 100000\n33112 49837\n57828 86745\n30374 45751\n5243 7870\n61972 92944\n6081 9148\n67947 100000\n86697 100000\n55459 83195\n55481 83229\n17094 25771\n39227 59004\n74097 100000\n66025 99050\n27906 42032\n77534 100000\n821 1261\n61591 92366\n28266 42580\n7124 10695\n84207 100000\n35468 53349\n55819 83737\n89513 100000\n98211 100000\n35584 53524\n5049 7587\n37156 55909\n39651 59644\n78896 100000\n95291 100000\n84834 100000\n42674 64135\n45899 68953\n14624 22043\n12133 18272\n37836 56924\n51303 77013\n98188 100000\n16525 24907\n16055 24198\n88060 100000\n4724 7095\n99662 100000\n64580 96861\n56868 85300\n33164 49912\n19563 29488\n2217 3358\n80544 100000\n63377 95059\n88276 100000\n60330 90508\n15196 22896\n837 1285\n62144 93209\n80952 100000\n9514 14322\n97978 100000\n38830 58403\n86004 100000\n98302 100000\n23691 35718\n97908 100000\n9040 13604\n35577 53514\n36536 54966\n71537 100000\n61154 91731\n72866 100000\n99363 100000\n88904 100000\n96372 100000\n45549 68428\n91149 100000\n45188 67885\n90796 100000\n58119 87191\n73598 100000\n14153 21334\n86727 100000\n52122 78227\n75844 100000\n35130 52843\n16686 25147\n87610 100000\n71748 100000\n85828 100000\n51064 76658\n17151 25865\n21465 32349\n43086 64754\n64092 96141\n39797 59872\n80141 100000\n83746 100000\n16915 25501\n67430 100000\n50110 75214\n25432 38320\n15045 22669\n48280 72500\n19898 30008\n56707 85066\n67969 100000\n39074 58777\n68118 100000\n58936 88424\n67868 100000\n97881 100000\n46231 69442\n30602 46092\n29918 45065\n67007 100000\n56392 84593\n94545 100000\n18041 27179\n13453 20263\n52854 79300\n31110 46856\n67063 100000\n1586 2418\n4955 7442\n63953 95920\n72730 100000\n60945 91423\n82681 100000\n64358 96521\n49913 74916\n56783 85175\n32388 48772\n53684 80545\n19909 30024\n59249 88896\n87824 100000\n83915 100000\n46898 70428\n38024 57211\n7211 10828\n19322 29121\n44152 66337\n38664 58165\n84434 100000\n29816 44910\n90706 100000\n6570 9872\n71968 100000\n41116 61826\n33567 50500\n29153 43921\n57172 85745\n35995 54137\n3507 5300\n71716 100000\n1888 2876\n95191 100000\n32661 49174\n4526 6810\n31652 47677\n67376 100000\n22298 33620\n74342 100000\n52734 79116\n68997 100000\n54912 82377\n68798 100000\n72744 100000\n33681 50675\n16943 25543\n25772 38823\n62830 94232\n14220 21433\n96973 100000\n84339 100000\n65551 98328\n94500 100000\n76140 100000\n18909 28479\n66620 99962\n16239 24481\n85347 100000\n67175 100000\n37107 55830\n59544 89333\n93536 100000\n42590 64017\n60249 90390\n70604 100000\n35379 53217\n90246 100000\n91235 100000\n87546 100000\n6464 9714\n61096 91640\n40697 61203\n56698 85052\n55350 83032\n7131 10706\n95360 100000\n4885 7342\n93842 100000\n30954 46627\n55824 83743\n94941 100000\n7457 11204\n66836 100000\n15638 23568\n55860 83804\n70881 100000\n52800 79221\n34950 52573\n88306 100000\n38197 57470\n9333 14042\n70769 100000\n8945 13461\n67308 100000\n79700 100000\n56420 84630\n88991 100000\n24292 36633\n59209 88838\n94712 100000\n27126 40842\n55624 83444\n17102 25786\n33474 50368\n60570 90863\n70249 100000\n49111 73727\n71631 100000\n96352 100000\n40267 60564\n26641 40114\n31575 47555\n95693 100000\n91762 100000\n5474 8218\n5900 8864\n84157 100000\n21555 32488\n96666 100000\n16633 25067\n62409 93617\n43026 64666\n54311 81493\n84900 100000\n16534 24918\n18970 28569\n76941 100000\n87335 100000\n73083 100000\n46841 70343\n5207 7811\n97394 100000\n63868 95791\n25676 38677\n35069 52752\n3560 5374\n32157 48420\n13792 20776\n58572 87873\n40584 61036\n57993 87002\n62012 93008\n19424 29280\n62972 94447\n32834 49426\n7898 11868\n22430 33821\n30904 46552\n50282 75482\n86950 100000\n43105 64787\n19325 29126\n51379 77127\n91978 100000\n68262 100000\n72961 100000\n60876 91322\n76426 100000\n56670 85007\n63074 94600\n90992 100000\n11072 16662\n42765 64273\n83718 100000\n56827 85235\n21226 31985\n91103 100000\n88420 100000\n77075 100000\n48123 72268\n46275 69507\n92843 100000\n31568 47546\n54676 82033\n19046 28688\n77842 100000\n72568 100000\n12308 18540\n87476 100000\n71159 100000\n23734 35780\n74460 100000\n69872 100000\n53760 80665\n98252 100000\n45128 67795\n42314 63599\n91336 100000\n10860 16345\n97593 100000\n14691 22148\n57185 85762\n84174 100000\n8480 12751\n88103 100000\n82403 100000\n83238 100000\n22725 34262\n43552 65456\n17407 26241\n62016 93013\n99480 100000\n72941 100000\n69753 100000\n71173 100000\n29727 44774\n50631 76004\n36774 55334\n79651 100000\n64751 97124\n70776 100000\n42267 63534\n29713 44752\n81626 100000\n96014 100000\n39516 59434\n38515 57937\n34179 51403\n61669 92488\n10976 16515\n15416 23218\n52405 78645\n20368 30712\n63961 95933\n29832 44935\n79609 100000\n28948 43619\n27070 40764\n62209 93313\n3670 5530\n89579 100000\n20789 31347\n78744 100000\n47234 70923\n83484 100000\n75610 100000\n61927 92880\n33155 49899\n57270 85892\n69639 100000\n34057 51238\n37418 56299\n14716 22191\n3951 5937\n24633 37126\n70916 100000\n27402 41273\n35634 53605\n80308 100000\n94207 100000\n27227 40999\n12758 19221\n27085 40787\n60290 90449\n34092 51287\n23923 36060\n92682 100000\n69764 100000\n16782 25295\n91580 100000\n93602 100000\n60359 90553\n85258 100000\n95753 100000\n41919 63020\n48960 73501\n41549 62463\n40648 61131\n32831 49421\n52252 78417\n29983 45164\n97177 100000\n31882 48017\n95636 100000\n57304 85946\n64245 96363\n337 518\n80012 100000\n83542 100000\n62615 93921\n53544 80335\n85178 100000\n72843 100000\n69659 100000\n77624 100000\n20202 30465\n3797 5718\n3712 5590\n584 896\n641 983\n45455 68282\n64603 96890\n40331 60655\n77115 100000\n32186 48463\n97812 100000\n22897 34521\n48068 72180\n60899 91355\n68135 100000\n49843 74816\n12724 19172\n92257 100000\n76960 100000\n37694 56709\n10659 16035\n16241 24483\n11992 18068\n45328 68094\n94622 100000\n34136 51345\n94799 100000\n94264 100000\n75072 100000\n3501 5291\n52281 78461\n70727 100000\n89667 100000\n24647 37148\n61240 91855\n62468 93704\n37415 56294\n24546 37007\n14361 21642\n97619 100000\n74787 100000\n49905 74903\n29408 44300\n47511 71335\n32728 49275\n64013 96014\n30151 45420\n35170 52909\n97621 100000\n64927 97387\n75538 100000\n71447 100000\n97818 100000\n95233 100000\n44714 67169\n70939 100000\n45303 68055\n16657 25103\n58362 87554\n70168 100000\n41675 62652\n32910 49546\n95257 100000\n13930 20993\n22692 34214\n68168 100000\n12866 19369\n67145 100000\n1122 1716\n55211 82824\n33850 50925\n6661 10012\n9210 13850\n27323 41147\n3659 5514\n24708 37240\n65823 98744\n2237 3389\n26498 39908\n71929 100000\n61888 92822\n50477 75779\n42069 63242\n29165 43942\n93320 100000\n91050 100000\n36201 54445\n71274 100000\n19073 28729\n2297 3479\n26725 40250\n89065 100000\n87956 100000\n58361 87553\n77272 100000\n88197 100000\n76083 100000\n82889 100000\n58796 88216\n63769 95646\n68570 100000\n35366 53198\n26004 39164\n1561 2379\n20314 30627\n34509 51907\n91725 100000\n64785 97176\n41146 61870\n7956 11960\n24023 36218\n21188 31927\n95231 100000\n36025 54183\n37065 55767\n50886 76390\n41927 63034\n5171 7761\n58834 88274\n73474 100000\n34556 51976\n94812 100000\n629 965\n74569 100000\n92134 100000\n22981 34644\n48803 73272\n45212 67919\n77008 100000\n60013 90044\n71579 100000\n30197 45486\n59891 89865\n70532 100000\n97617 100000\n1248 1902\n98026 100000\n75469 100000\n34437 51800\n13614 20509\n38070 57281\n1163 1778\n25025 37711\n34135 51344\n8710 13108\n57758 86644\n58912 88386\n63956 95924\n46928 70472\n12877 19385\n63740 95599\n60300 90465\n80056 100000\n18516 27897\n83448 100000\n74520 100000\n45596 68499\n10606 15955\n97608 100000\n45230 67947\n42715 64199\n37953 57109\n9800 14751\n24439 36853\n59321 89010\n48234 72433\n16824 25360\n91908 100000\n10145 15277\n13887 20922\n70078 100000\n68794 100000\n19594 29537\n78931 100000\n34712 52207\n98053 100000\n45735 68713\n28469 42892\n50187 75332\n5221 7834\n49922 74927\n70620 100000\n4077 6123\n24476 36910\n48868 73370\n22208 33483\n56140 84211\n13550 20416\n53430 80159\n9942 14969\n84798 100000\n46123 69288\n68393 100000\n46604 69998\n28650 43168\n84877 100000\n97487 100000\n40074 60280\n90814 100000\n55344 83025\n69151 100000\n86993 100000\n82323 100000\n54267 81430\n5585 8386\n65343 98009\n65644 98465\n64836 97252\n61127 91684\n60471 90718\n6439 9677\n16530 24913\n62859 94277\n14508 21870\n69460 100000\n89472 100000\n63088 94624\n81015 100000\n43904 65984\n60291 90451\n18097 27268\n23472 35399\n88179 100000\n64833 97248\n42206 63449\n70621 100000\n33810 50871\n38507 57929\n48268 72484\n56366 84551\n47832 71826\n22199 33471\n62923 94372\n39279 59080\n89226 100000\n92973 100000\n64068 96102\n50400 75664\n67640 100000\n62525 93784\n21302 32101\n76741 100000\n48800 73268\n81625 100000\n45416 68221\n15800 23821\n14874 22424\n95853 100000\n88025 100000\n52386 78613\n80442 100000\n17650 26590\n32693 49225\n90302 100000\n68948 100000\n97711 100000\n95113 100000\n63705 95544\n41073 61762\n23441 35351\n44775 67263\n65369 98051\n99452 100000\n96179 100000\n82755 100000\n95627 100000\n55879 83833\n23294 35115\n11775 17746\n47458 71258\n40862 61442\n67846 100000\n1162 1777\n1528 2332\n36891 55516\n98548 100000\n29757 44821\n15721 23693\n47008 70589\n2815 4257\n38943 58578\n83724 100000\n46738 70186\n23377 35247\n36643 55132\n72580 100000\n92710 100000\n76527 100000\n36830 55419\n70960 100000\n20574 31031\n657 1006\n2307 3494\n11776 17747\n28681 43221\n40689 61190\n1265 1927\n12882 19392\n98520 100000\n35771 53804\n12120 18253\n24311 36662\n35061 52741\n79822 100000\n26864 40458\n44411 66719\n60926 91395\n36399 54755\n25443 38336\n86200 100000\n82843 100000\n64100 96153\n73053 100000\n45950 69029\n49363 74105\n57672 86518\n94594 100000\n81188 100000\n53249 79888\n90976 100000\n54017 81063\n88065 100000\n99486 100000\n35695 53688\n76325 100000\n89680 100000\n99467 100000\n95950 100000\n86226 100000\n95687 100000\n15923 24002\n19962 30111\n77570 100000\n41806 62847\n62617 93924\n91444 100000\n9591 14443\n15352 23125\n85807 100000\n31668 47702\n45110 67770\n29051 43772\n19081 28742\n767 1180\n24092 36322\n15117 22784\n12972 19531\n40488 60890\n87726 100000\n88049 100000\n64335 96490\n22619 34109\n8684 13069\n14566 21955\n44194 66396\n83602 100000\n20964 31605\n14419 21739\n88536 100000\n73200 100000\n87518 100000\n92424 100000\n23258 35055\n8911 13408\n59366 89085\n7705 11580\n77636 100000\n40399 60757\n94464 100000\n10865 16352\n45153 67832\n54324 81513\n13419 20209\n70089 100000\n4623 6945\n41049 61728\n63427 95132\n51846 77832\n12252 18454\n49689 74588\n977 1493\n23493 35432\n83681 100000\n29807 44897\n45319 68081\n10203 15357\n54620 81950\n64401 96582\n48510 72833\n94652 100000\n25160 37914\n97592 100000\n11522 17360\n88822 100000\n48467 72771\n30430 45837\n96578 100000\n45730 68707\n41821 62869\n72044 100000\n20007 30174\n75377 100000\n66375 99592\n9982 15028\n81672 100000\n11389 17158\n89407 100000\n14308 21565\n12705 19143\n58893 88354\n17449 26301\n87361 100000\n67478 100000\n73987 100000\n3612 5445\n35927 54035\n76289 100000\n91002 100000\n84150 100000\n20947 31579\n53692 80559\n92117 100000\n78842 100000\n8766 13192\n79716 100000\n51278 76976\n50458 75752\n8667 13046\n44141 66321\n46769 70231\n33412 50279\n8157 12269\n49837 74807\n91766 100000\n21999 33159\n42859 64414\n8900 13391\n29770 44842\n54401 81623\n44901 67461\n52867 79319\n67536 100000\n28314 42656\n8526 12824\n62988 94474\n87698 100000\n2050 3116\n20493 30908\n27003 40664\n34847 52413\n82135 100000\n55177 82773\n3648 5496\n78190 100000\n24575 37043\n14884 22436\n13908 20956\n1331 2029\n19514 29414\n69134 100000\n43682 65654\n38799 58358\n21592 32548\n25042 37742\n76024 100000\n26191 39449\n82404 100000\n57949 86932\n27841 41934\n97776 100000\n55488 83241\n19201 28927\n76466 100000\n4429 6657\n29015 43717\n40792 61341\n22457 33860\n83431 100000\n74295 100000\n7062 10603\n45220 67930\n39736 59778\n84371 100000\n35091 52783\n42463 63819\n51750 77695\n91458 100000\n70607 100000\n11229 16902\n7899 11870\n64533 96788\n37545 56488\n35149 52874\n87706 100000\n17465 26321\n41757 62770\n75331 100000\n86646 100000\n48520 72846\n70377 100000\n72994 100000\n18299 27569\n19985 30140\n54398 81618\n81643 100000\n5925 8902\n20118 30341\n42752 64254\n59749 89646\n99681 100000\n49985 75022\n88304 100000\n4164 6249\n12967 19522\n51282 76982\n65867 98811\n20215 30487\n66772 100000\n75340 100000\n69263 100000\n4293 6451\n79334 100000\n17607 26532\n87161 100000\n80102 100000\n20386 30741\n96007 100000\n60294 90455\n91620 100000\n30047 45262\n68768 100000\n75427 100000\n65715 98577\n47660 71563\n3104 4689\n25007 37685\n21986 33140\n12846 19341\n82086 100000\n23181 34940\n97583 100000\n57471 86211\n11239 16919\n90130 100000\n79168 100000\n77852 100000\n90719 100000\n10460 15742\n15513 23372\n21888 32994\n51665 77563\n97578 100000\n89910 100000\n15258 22991\n19001 28619\n54515 81789\n59214 88846\n30830 46441\n9679 14577\n17063 25724\n99794 100000\n32968 49627\n61065 91597\n64290 96427\n1513 2312\n53709 80586\n37425 56311\n58381 87584\n41383 62212\n14567 21957\n34826 52379\n4888 7348\n98592 100000\n55956 83947\n80497 100000\n79879 100000\n48254 72463\n62577 93860\n38372 57733\n12145 18293\n53165 79768\n45636 68567\n12541 18891\n23355 35213\n4928 7405\n29721 44765\n69141 100000\n4677 7022\n60578 90876\n9571 14415\n28512 42953\n13006 19583\n24669 37181\n78591 100000\n43298 65080\n80232 100000\n85346 100000\n90956 100000\n30989 46672\n55203 82813\n63097 94638\n16964 25575\n6526 9809\n47783 71751\n95968 100000\n56860 85288\n11228 16900\n49536 74366\n76255 100000\n31078 46806\n96171 100000\n96349 100000\n11961 18021\n72209 100000\n30382 45763\n2043 3105\n96112 100000\n80499 100000\n5021 7540\n3020 4563\n418 643\n18979 28582\n95425 100000\n64724 97080\n47813 71800\n12106 18234\n32932 49579\n51915 77933\n35651 53628\n61454 92162\n42760 64267\n53428 80156\n51590 77448\n45572 68463\n13755 20723\n5300 7956\n91148 100000\n42199 63437\n87613 100000\n51704 77623\n88857 100000\n42906 64482\n28412 42804\n66266 99427\n64712 97060\n22222 33503\n54473 81724\n59636 89475\n44320 66583\n54432 81668\n53154 79751\n13946 21024\n59571 89377\n43837 65885\n71643 100000\n11582 17453\n19296 29077\n37456 56360\n35729 53742\n51469 77263\n99143 100000\n8337 12536\n36129 54338\n4302 6466\n59054 88600\n23373 35240\n62050 93063\n8648 13017\n43563 65473\n84477 100000\n77635 100000\n36785 55352\n29696 44724\n61961 92927\n71194 100000\n64163 96241\n25556 38506\n30524 45979\n28124 42361\n33156 49900\n86650 100000\n74771 100000\n17109 25794\n68818 100000\n28399 42782\n5617 8432\n24923 37554\n13790 20774\n82118 100000\n59981 89994\n55401 83104\n61067 91599\n4354 6539\n34468 51845\n14397 21702\n683 1048\n17964 27067\n92114 100000\n31063 46782\n66452 99706\n71182 100000\n94944 100000\n98641 100000\n54943 82424\n44831 67347\n4816 7239\n95926 100000\n72668 100000\n67951 100000\n15557 23439\n25615 38591\n13648 20559\n5661 8499\n32021 48215\n84356 100000\n96121 100000\n74648 100000\n51961 78000\n43097 64773\n41544 62456\n12805 19285\n36889 55512\n67986 100000\n22517 33947\n51527 77350\n88617 100000\n45783 68782\n63191 94777\n1700 2589\n34716 52213\n47304 71029\n39591 59553\n4068 6111\n95942 100000\n80569 100000\n78322 100000\n33176 49930\n26453 39837\n81719 100000\n96641 100000\n9445 14209\n53 85\n88994 100000\n22028 33205\n32401 48790\n26588 40029\n65762 98651\n20251 30540\n71166 100000\n89254 100000\n47275 70987\n41947 63066\n49267 73967\n31736 47802\n59314 88998\n71346 100000\n65616 98426\n92995 100000\n98785 100000\n18062 27213\n48702 73120\n19027 28657\n92175 100000\n73373 100000\n73392 100000\n69573 100000\n40952 61578\n19610 29565\n24006 36190\n23034 34727\n22828 34414\n79361 100000\n42382 63702\n79526 100000\n42136 63346\n30146 45413\n5893 8853\n48283 72503\n4889 7350\n98833 100000\n30155 45427\n78245 100000\n39012 58682\n99180 100000\n34735 52242\n19687 29679\n55139 82717\n85580 100000\n52196 78332\n30192 45479\n96054 100000\n15899 23967\n34777 52305\n46227 69437\n83720 100000\n95934 100000\n5948 8941\n75165 100000\n11498 17324\n91763 100000\n61428 92129\n56853 85276\n86913 100000\n41979 63115\n49414 74185\n89931 100000\n12303 18532\n51279 76978\n70204 100000\n30615 46111\n56492 84740\n96116 100000\n44002 66127\n35374 53209\n85512 100000\n60721 91090\n61548 92301\n82964 100000\n27958 42111\n84212 100000\n42897 64468\n46937 70486\n27920 42054\n48137 72289\n12247 18445\n74966 100000\n20268 30566\n81801 100000\n19225 28964\n95510 100000\n35449 53318\n5594 8400\n7529 11313\n7526 11308\n83141 100000\n19552 29470\n91564 100000\n91309 100000\n41788 62821\n66247 99397\n93153 100000\n31672 47708\n82891 100000\n25481 38396\n46633 70040\n71283 100000\n15742 23727\n85589 100000\n76203 100000\n29355 44225\n96558 100000\n27044 40725\n13917 20970\n55214 82829\n97251 100000\n78181 100000\n42723 64211\n25713 38735\n15285 23031\n31156 46928\n12047 18152\n22500 33925\n70935 100000\n48053 72158\n52212 78356\n3617 5453\n29096 43837\n17072 25738\n69906 100000\n10853 16333\n65593 98396\n55621 83440\n69741 100000\n88943 100000\n83556 100000\n43825 65868\n70439 100000\n60468 90713\n80610 100000\n40925 61536\n55233 82857\n75701 100000\n2107 3197\n2906 4392\n98603 100000\n77447 100000\n81444 100000\n81055 100000\n3534 5337\n57140 85696\n42797 64322\n23084 34795\n46524 69878\n16249 24493\n83402 100000\n41957 63081\n22006 33171\n93861 100000\n59955 89954\n85637 100000\n22696 34221\n76587 100000\n74100 100000\n48104 72238\n64398 96577\n21412 32263\n19942 30079\n46945 70498\n89295 100000\n75597 100000\n69302 100000\n1191 1819\n74105 100000\n63336 94995\n41043 61719\n52099 78192\n85169 100000\n65705 98560\n45750 68737\n53222 79852\n56641 84968\n60391 90596\n92005 100000\n39201 58967\n48303 72532\n98324 100000\n25055 37761\n91983 100000\n8706 13102\n56801 85200\n41576 62501\n76284 100000\n330 505\n79573 100000\n8308 12491\n86616 100000\n37125 55862\n71973 100000\n69593 100000\n45325 68089\n87918 100000\n76677 100000\n34334 51645\n27892 42012\n25385 38246\n15398 23194\n99837 100000\n40121 60348\n20010 30178\n86841 100000\n43429 65279\n96368 100000\n89075 100000\n10393 15645\n96414 100000\n32813 49397\n84822 100000\n96882 100000\n81062 100000\n57812 86721\n35586 53527\n64405 96590\n17547 26444\n29897 45037\n72078 100000\n26575 40012\n50954 76494\n80014 100000\n26779 40334\n51688 77600\n94770 100000\n88916 100000\n46639 70049\n62936 94392\n53079 79644\n12091 18214\n63127 94682\n87012 100000\n2979 4502\n45049 67679\n55106 82668\n27187 40941\n42322 63609\n35364 53194\n26975 40621\n64240 96357\n26010 39173\n29392 44274\n52265 78436\n94670 100000\n90425 100000\n54686 82047\n12353 18607\n49307 74026\n99545 100000\n99693 100000\n20312 30624\n46511 69858\n18875 28430\n11145 16773\n19988 30144\n94203 100000\n87739 100000\n85263 100000\n84004 100000\n88889 100000\n12826 19315\n167 252\n69548 100000\n48379 72643\n86975 100000\n52086 78174\n85150 100000\n24503 36949\n52471 78739\n84962 100000\n95144 100000\n81191 100000\n93847 100000\n52951 79449\n7343 11031\n83528 100000\n93012 100000\n92625 100000\n85367 100000\n83225 100000\n55147 82729\n92737 100000\n61313 91961\n53638 80474\n72286 100000\n68781 100000\n66234 99376\n63677 95502\n4898 7360\n1335 2036\n50689 76088\n7029 10549\n7263 10906\n32792 49368\n98098 100000\n57762 86650\n96730 100000\n93435 100000\n86654 100000\n29477 44395\n11930 17979\n99355 100000\n9816 14774\n59350 89059\n93353 100000\n84249 100000\n24177 36449\n76707 100000\n26631 40097\n29304 44151\n14901 22461\n80870 100000\n54215 81355\n74360 100000\n12370 18634\n70946 100000\n40975 61612\n16887 25458\n83641 100000\n85052 100000\n15534 23405\n89017 100000\n56070 84112\n20258 30551\n476 729\n79790 100000\n48671 73070\n58624 87951\n7481 11243\n88088 100000\n80496 100000\n4159 6241\n55562 83351\n81677 100000\n58115 87184\n74628 100000\n1193 1822\n15336 23104\n42972 64588\n69317 100000\n43233 64979\n55766 83657\n20145 30383\n8213 12351\n87909 100000\n10844 16322\n41922 63025\n53592 80406\n50794 76256\n26413 39781\n6167 9269\n9662 14547\n1157 1768\n783 1207\n77087 100000\n27809 41887\n83686 100000\n42227 63481\n55060 82599\n95158 100000\n8571 12895\n76653 100000\n5548 8330\n28097 42319\n77926 100000\n79908 100000\n64890 97335\n40311 60627\n12048 18153\n50064 75142\n7201 10811\n91931 100000\n41006 61661\n80211 100000\n82338 100000\n78586 100000\n55490 83244\n76266 100000\n93766 100000\n98684 100000\n75740 100000\n1980 3012\n14020 21131\n56296 84437\n42488 63857\n59558 89356\n41581 62506\n84802 100000\n23299 35123\n3835 5773\n43899 65976\n16835 25376\n82079 100000\n40400 60759\n4380 6578\n4715 7081\n69905 100000\n18342 27635\n7766 11671\n57809 86717\n7098 10661\n44318 66580\n96598 100000\n74034 100000\n25053 37757\n43950 66050\n41379 62208\n72640 100000\n78006 100000\n69123 100000\n72530 100000\n68699 100000\n42042 63203\n7563 11368\n88041 100000\n69484 100000\n67100 100000\n4908 7376\n50118 75227\n40741 61268\n75341 100000\n20800 31363\n67002 100000\n16740 25225\n48116 72259\n34432 51791\n15706 23670\n41730 62733\n84599 100000\n76353 100000\n26969 40611\n40985 61629\n7897 11867\n56045 84078\n74147 100000\n2151 3259\n51802 77767\n23737 35783\n85079 100000\n12604 18988\n25393 38259\n31843 47961\n69147 100000\n85710 100000\n27219 40987\n5175 7766\n28135 42377\n5037 7567\n26171 39419\n6297 9463\n96459 100000\n89252 100000\n82421 100000\n89962 100000\n91864 100000\n82270 100000\n67973 100000\n24481 36917\n45066 67703\n85944 100000\n89163 100000\n92326 100000\n42647 64098\n24290 36630\n22967 34623\n63623 95425\n13109 19742\n99114 100000\n86834 100000\n35409 53262\n57608 86423\n57727 86601\n36937 55584\n1626 2478\n23435 35343\n79456 100000\n20696 31212\n58836 88277\n33944 51065\n99792 100000\n3403 5143\n29128 43883\n94125 100000\n43932 66026\n17454 26307\n17347 26154\n46305 69551\n74461 100000\n37824 56905\n50420 75697\n72822 100000\n25501 38428\n5664 8504\n32566 49038\n51779 77733\n89668 100000\n88268 100000\n27901 42027\n72854 100000\n13740 20699\n26357 39696\n2137 3240\n99851 100000\n33145 49887\n68202 100000\n71263 100000\n5646 8475\n90057 100000\n5364 8056\n35668 53652\n1242 1891\n93376 100000\n96698 100000\n6232 9366\n35484 53373\n20076 30278\n68787 100000\n8596 12938\n60111 90182\n94026 100000\n44826 67340\n83930 100000\n20089 30297\n90297 100000\n62666 93990\n58375 87575\n53462 80208\n2000 3041\n80839 100000\n51187 76852\n94676 100000\n71512 100000\n92034 100000\n76665 100000\n72677 100000\n27947 42094\n13139 19786\n56636 84959\n20348 30680\n40297 60608\n4365 6557\n68700 100000\n94555 100000\n50891 76397\n25041 37740\n68247 100000\n96534 100000\n5478 8222\n30296 45637\n88485 100000\n85733 100000\n98606 100000\n92105 100000\n45084 67732\n60938 91413\n16230 24468\n70790 100000\n45503 68350\n82456 100000\n44256 66489\n96682 100000\n29679 44698\n70228 100000\n31599 47598\n54077 81149\n26001 39159\n75036 100000\n52250 78415\n66876 100000\n24212 36507\n80528 100000\n79750 100000\n39520 59440\n78136 100000\n81938 100000\n16970 25585\n25182 37947\n49740 74663\n13559 20429\n46091 69242\n95423 100000\n20779 31330\n28154 42408\n33542 50464\n60392 90598\n97013 100000\n93302 100000\n46497 69840\n46464 69790\n90173 100000\n18427 27753\n68154 100000\n42327 63616\n21705 32725\n32373 48749\n42344 63640\n82433 100000\n27872 41982\n18689 28158\n33283 50091\n95109 100000\n18239 27478\n52424 78671\n84699 100000\n51927 77951\n40940 61560\n96592 100000\n14532 21907\n51160 76810\n8465 12728\n66189 99305\n86618 100000\n93719 100000\n53004 79524\n92371 100000\n31483 47412\n87878 100000\n74015 100000\n8494 12773\n68395 100000\n61655 92466\n2365 3583\n8759 13181\n46409 69708\n17871 26931\n31913 48062\n42487 63856\n20475 30879\n67829 100000\n36438 54814\n5447 8180\n7579 11390\n28433 42839\n31845 47963\n13005 19581\n48149 72307\n32984 49651\n68594 100000\n25986 39139\n18659 28112\n85242 100000\n89392 100000\n83676 100000\n11488 17309\n65989 99001\n18626 28063\n60891 91343\n85585 100000\n38503 57925\n12376 18643\n33786 50836\n29435 44334\n40660 61150\n71183 100000\n61477 92198\n79108 100000\n24673 37187\n36036 54198\n12845 19339\n82076 100000\n95414 100000\n39579 59533\n64467 96681\n91331 100000\n10899 16402\n48745 73189\n35344 53163\n40142 60377\n15626 23546\n17464 26320\n57671 86516\n14270 21512\n22033 33212\n95433 100000\n84545 100000\n53736 80627\n94249 100000\n54627 81959\n21640 32620\n64515 96758\n19824 29889\n69378 100000\n62086 93117\n54487 81748\n45927 68995\n35327 53136\n93495 100000\n59827 89763\n94729 100000\n48045 72145\n3693 5563\n9026 13582\n36930 55574\n77484 100000\n52304 78499\n61199 91791\n52999 79518\n23845 35947\n69327 100000\n90207 100000\n7685 11548\n60593 90900\n32882 49505\n66641 99994\n88638 100000\n9417 14170\n14481 21830\n84316 100000\n23496 35436\n17856 26908\n20684 31193\n54711 82085\n10431 15699\n89109 100000\n67612 100000\n34154 51369\n9461 14234\n60158 90250\n23978 36148\n24634 37127\n41746 62755\n29659 44668\n50957 76499\n23231 35016\n56501 84755\n56398 84601\n8135 12235\n32319 48667\n82746 100000\n88219 100000\n11332 17064\n44489 66831\n17972 27078\n52452 78711\n59070 88626\n66628 99975\n4011 6025\n35142 52861\n35707 53707\n2700 4085\n63506 95248\n44599 66999\n52715 79089\n14845 22382\n76355 100000\n62747 94113\n52479 78750\n99649 100000\n51311 77027\n22426 33814\n36825 55411\n10611 15963\n98633 100000\n83111 100000\n21563 32500\n67946 100000\n48912 73433\n20219 30494\n80304 100000\n11795 17773\n94644 100000\n26691 40197\n36096 54289\n85934 100000\n19528 29433\n34087 51280\n21565 32504\n77156 100000\n35437 53301\n99677 100000\n2843 4298\n85639 100000\n51100 76710\n87922 100000\n64985 97471\n77687 100000\n98879 100000\n8510 12798\n82913 100000\n99617 100000\n19048 28691\n55661 83498\n36861 55469\n57162 85728\n13798 20785\n97106 100000\n78400 100000\n2150 3258\n66008 99025\n62732 94091\n66591 99913\n4773 7170\n40091 60301\n86184 100000\n14250 21481\n25103 37830\n95864 100000\n55601 83411\n82945 100000\n73199 100000\n17588 26503\n66868 100000\n27800 41874\n86300 100000\n12733 19187\n1752 2665\n5451 8185\n6854 10295\n80340 100000\n8133 12232\n67549 100000\n47483 71289\n11550 17404\n54288 81463\n25602 38574\n3584 5406\n49979 75014\n36290 54578\n23549 35509\n83849 100000\n89964 100000\n51052 76640\n54999 82510\n90622 100000\n37611 56588\n81966 100000\n17056 25714\n21218 31975\n61962 92928\n49258 73954\n34195 51429\n76129 100000\n11834 17832\n62203 93305\n21691 32700\n68996 100000\n62126 93179\n53552 80349\n84899 100000\n87639 100000\n92747 100000\n23567 35535\n64748 97119\n14336 21604\n99006 100000\n66513 99797\n36363 54696\n27346 41186\n83079 100000\n36887 55509\n29208 44007\n93843 100000\n89946 100000\n46714 70148\n54998 82509\n27136 40860\n52089 78178\n60639 90967\n31397 47282\n7737 11629\n76432 100000\n15111 22773\n79457 100000\n96998 100000\n54866 82313\n84361 100000\n50862 76351\n92648 100000\n43638 65585\n58300 87459\n6504 9778\n93434 100000\n87780 100000\n95574 100000\n58340 87520\n3657 5510\n38379 57744\n82574 100000\n47825 71818\n26289 39595\n39039 58720\n28765 43349\n95444 100000\n4442 6679\n92957 100000\n95684 100000\n22584 34052\n12824 19312\n66477 99740\n11560 17420\n89422 100000\n26116 39340\n18238 27476\n65882 98835\n25940 39072\n26585 40024\n71795 100000\n39472 59373\n19190 28909\n43350 65161\n11995 18072\n69457 100000\n47436 71226\n83787 100000\n45185 67881\n18715 28192\n39968 60124\n95544 100000\n16955 25563\n27142 40869\n2736 4141\n44537 66904\n14980 22578\n6068 9128\n91157 100000\n68957 100000\n31208 47002\n72514 100000\n69063 100000\n73242 100000\n6779 10191\n6780 10192\n81671 100000\n92533 100000\n39853 59946\n6256 9405\n25811 38884\n30543 46007\n16014 24132\n86708 100000\n34613 52060\n62385 93579\n71499 100000\n99378 100000\n98288 100000\n27704 41727\n81804 100000\n41463 62333\n96950 100000\n8259 12419\n85252 100000\n35778 53816\n60360 90554\n27979 42140\n50371 75617\n81508 100000\n9171 13793\n89032 100000\n42052 63216\n42866 64426\n85891 100000\n97511 100000\n99806 100000\n12552 18907\n25933 39063\n75067 100000\n75537 100000\n59602 89425\n18880 28437\n94466 100000\n74673 100000\n61562 92322\n10560 15889\n65260 97881\n54635 81970\n50698 76104\n3589 5413\n21909 33027\n92067 100000\n89592 100000\n99795 100000\n11226 16896\n44611 67017\n25808 38880\n32941 49591\n42189 63422\n31097 46837\n18533 27923\n92013 100000\n78013 100000\n85986 100000\n30243 45553\n79805 100000\n58162 87256\n50824 76297\n36286 54572\n47238 70930\n95203 100000\n45496 68340\n41475 62351\n34675 52155\n30982 46664\n82202 100000\n59470 89227\n9960 14997\n33724 50739\n89528 100000\n64767 97150\n35714 53719\n80451 100000\n33920 51030\n8177 12300\n39091 58799\n94970 100000\n77377 100000\n44653 67079\n28527 42977\n54257 81418\n43425 65272\n39038 58718\n79513 100000\n11985 18058\n37342 56179\n93612 100000\n94279 100000\n56520 84785\n6179 9288\n75423 100000\n69839 100000\n87104 100000\n64989 97478\n25320 38149\n70298 100000\n33765 50802\n78509 100000\n30823 46432\n29544 44495\n76638 100000\n56717 85080\n22203 33476\n83678 100000\n12864 19367\n38008 57190\n72736 100000\n79278 100000\n94801 100000\n74734 100000\n14621 22039\n33374 50222\n17018 25656\n494 754\n4113 6175\n60510 90778\n74594 100000\n26962 40602\n91845 100000\n92147 100000\n60280 90436\n89510 100000\n55602 83412\n36386 54733\n15373 23158\n50621 75990\n51056 76647\n60035 90074\n39263 59056\n80736 100000\n20300 30607\n51964 78004\n92038 100000\n16711 25186\n88841 100000\n21552 32484\n41129 61844\n69874 100000\n57591 86397\n34667 52141\n85682 100000\n92581 100000\n64974 97457\n28025 42208\n72912 100000\n27280 41082\n60167 90263\n94079 100000\n36740 55284\n20403 30764\n66856 100000\n36469 54862\n97524 100000\n45102 67759\n91710 100000\n43051 64701\n89486 100000\n25627 38608\n7657 11508\n22249 33544\n25866 38966\n61058 91584\n7807 11733\n40540 60968\n11509 17340\n15725 23699\n26671 40163\n80200 100000\n44073 66226\n71075 100000\n74152 100000\n90426 100000\n43071 64731\n96686 100000\n39456 59348\n25234 38022\n3233 4886\n74962 100000\n7487 11251\n68670 100000\n30289 45626\n60004 90029\n37078 55785\n44967 67557\n94865 100000\n66757 100000\n54867 82314\n13970 21058\n59872 89831\n31584 47572\n22229 33514\n14737 22220\n61366 92038\n63836 95747\n26876 40476\n92346 100000\n2655 4017\n69420 100000\n27410 41284\n65359 98034\n89794 100000\n89378 100000\n64249 96369\n51679 77585\n62064 93084\n76735 100000\n72712 100000\n7586 11399\n10795 16246\n9661 14545\n78742 100000\n20713 31237\n71552 100000\n21731 32759\n59355 89068\n34338 51652\n46112 69273\n25094 37819\n48747 73193\n67082 100000\n9795 14744\n28387 42763\n88790 100000\n19550 29466\n79697 100000\n10871 16360\n18812 28337\n26837 40416\n25031 37722\n55594 83400\n84289 100000\n84776 100000\n26490 39896\n37030 55720\n75098 100000\n17822 26853\n33232 50015\n74721 100000\n69860 100000\n58046 87081\n8634 12995\n66444 99696\n52247 78410\n52595 78921\n18291 27556\n99953 100000\n30867 46496\n2192 3321\n59048 88591\n4119 6182\n40765 61301\n90676 100000\n10255 15438\n56705 85063\n17128 25826\n18610 28038\n76733 100000\n51684 77593\n84070 100000\n12367 18631\n36770 55329\n93829 100000\n2471 3735\n24007 36192\n57885 86837\n31595 47592\n7972 11983\n71272 100000\n14518 21886\n86288 100000\n50951 76491\n25256 38056\n70808 100000\n88767 100000\n116 174\n41457 62325\n46249 69470\n51842 77825\n52447 78702\n92674 100000\n39353 59195\n73322 100000\n46378 69663\n19245 28995\n68126 100000\n69451 100000\n872 1339\n52934 79417\n84141 100000\n53713 80594\n41602 62539\n89556 100000\n27082 40783\n81078 100000\n81129 100000\n95947 100000\n53503 80273\n94853 100000\n37074 55779\n64003 95996\n11525 17365\n57915 86880\n55973 83971\n98197 100000\n25638 38622\n16611 25034\n54348 81544\n6657 10006\n75576 100000\n27491 41404\n62195 93292\n69755 100000\n34099 51298\n79439 100000\n94382 100000\n84328 100000\n17384 26205\n12050 18157\n81941 100000\n56368 84554\n41498 62387\n39173 58926\n20605 31077\n33856 50934\n45818 68832\n2811 4250\n85328 100000\n76109 100000\n28859 43492\n48482 72792\n27763 41816\n68420 100000\n40833 61400\n72423 100000\n82560 100000\n49670 74558\n29348 44216\n60818 91239\n47884 71900\n99723 100000\n77774 100000\n69954 100000\n46857 70366\n15689 23643\n51911 77928\n70453 100000\n28282 42608\n2534 3835\n98811 100000\n29747 44805\n26065 39256\n63128 94684\n16255 24504\n73696 100000\n84116 100000\n18125 27308\n53102 79681\n51401 77162\n22225 33507\n13132 19776\n73257 100000\n51903 77917\n99813 100000\n90561 100000\n59461 89214\n85605 100000\n31463 47378\n35918 54022\n1742 2651\n12612 19002\n7047 10577\n35594 53539\n37463 56370\n23337 35185\n13353 20108\n85481 100000\n23045 34742\n9874 14863\n34591 52025\n15452 23275\n37252 56043\n17192 25926\n87547 100000\n19159 28860\n51637 77520\n91322 100000\n63325 94978\n89374 100000\n79131 100000\n56015 84037\n19317 29113\n28166 42425\n90999 100000\n49193 73855\n91091 100000\n21608 32574\n67539 100000\n40022 60203\n18217 27446\n99039 100000\n55323 82997\n83451 100000\n61069 91601\n56050 84085\n69389 100000\n42709 64189\n75145 100000\n27386 41248\n31547 47514\n18205 27429\n73010 100000\n66429 99675\n45174 67864\n28139 42384\n10066 15158\n3755 5656\n68925 100000\n37963 57124\n23301 35126\n18843 28381\n21439 32307\n54441 81682\n33837 50910\n15379 23167\n2345 3553\n58013 87030\n63925 95876\n78422 100000\n53996 81031\n1024 1561\n50345 75580\n93790 100000\n53188 79804\n1482 2271\n79217 100000\n39583 59539\n15662 23605\n95824 100000\n14006 21113\n9860 14843\n23343 35194\n37982 57153\n27879 41992\n56203 84296\n35638 53610\n52565 78877\n34810 52356\n50464 75760\n53962 80979\n48612 72979\n81076 100000\n75554 100000\n30784 46372\n57960 86951\n31420 47316\n9258 13927\n93274 100000\n85544 100000\n58196 87305\n51432 77206\n80220 100000\n66142 99234\n27095 40801\n65967 98966\n90092 100000\n10080 15179\n4026 6046\n60874 91320\n28627 43135\n77429 100000\n20244 30529\n23093 34807\n89345 100000\n62780 94160\n73785 100000\n24556 37020\n91347 100000\n83666 100000\n86875 100000\n82294 100000\n71398 100000\n90790 100000\n61906 92850\n11647 17550\n14704 22171\n41009 61664\n82582 100000\n41281 62069\n77659 100000\n45902 68957\n36670 55174\n69138 100000\n4670 7013\n36754 55306\n69453 100000\n65657 98486\n99546 100000\n41013 61670\n61685 92511\n51363 77105\n48443 72734\n15488 23332\n91035 100000\n98946 100000\n60093 90159\n48422 72705\n22810 34388\n54371 81576\n66077 99133\n70001 100000\n20711 31235\n37391 56258\n20062 30257\n59568 89372\n96143 100000\n72242 100000\n16158 24352\n53805 80735\n69711 100000\n27797 41870\n37146 55893\n88216 100000\n57357 86038\n55768 83661\n42507 63886\n47848 71853\n62068 93089\n99994 100000\n57632 86461\n36170 54399\n62306 93461\n65944 98932\n65525 98290\n38697 58212\n86983 100000\n83937 100000\n22563 34013\n40075 60281\n49866 74849\n43772 65790\n53351 80039\n84022 100000\n94669 100000\n59609 89435\n63500 95240\n24076 36298\n14782 22283\n30861 46486\n90335 100000\n84119 100000\n66048 99087\n3607 5440\n95053 100000\n9609 14467\n43435 65285\n74022 100000\n76880 100000\n15553 23432\n55612 83429\n4130 6198\n91990 100000\n22778 34340\n511 781\n4299 6461\n62472 93710\n54052 81113\n56020 84044\n16602 25024\n58262 87400\n23788 35857\n14038 21158\n99590 100000\n42326 63615\n46270 69501\n12530 18877\n99409 100000\n76893 100000\n52704 79072\n78189 100000\n65887 98843\n45491 68332\n58498 87765\n79428 100000\n53403 80119\n32139 48391\n63542 95298\n94525 100000\n32034 48236\n19346 29158\n25640 38624\n35795 53842\n89596 100000\n65145 97711\n27684 41697\n86304 100000\n24772 37334\n59052 88598\n96773 100000\n84501 100000\n54247 81403\n23608 35591\n98781 100000\n25416 38294\n17568 26471\n62762 94135\n42669 64129\n95791 100000\n28161 42417\n41434 62288\n30331 45687\n84674 100000\n15588 23490\n46895 70423\n64525 96775\n6881 10336\n85596 100000\n94385 100000\n36350 54677\n61731 92583\n395 609\n46894 70422\n23036 34729\n73827 100000\n99128 100000\n33635 50602\n85555 100000\n66743 100000\n16814 25346\n77312 100000\n13749 20713\n35258 53038\n57636 86467\n40935 61552\n77814 100000\n807 1242\n22389 33760\n73210 100000\n48429 72714\n79524 100000\n76326 100000\n74417 100000\n78406 100000\n77830 100000\n19472 29351\n37626 56609\n18617 28049\n10866 16354\n59003 88529\n68893 100000\n73638 100000\n71665 100000\n38755 58295\n3207 4848\n50555 75892\n90795 100000\n84729 100000\n7792 11709\n98658 100000\n22301 33623\n56996 85483\n97023 100000\n15587 23488\n18856 28398\n7520 11300\n98806 100000\n47182 70847\n56912 85364\n94474 100000\n26679 40176\n45510 68361\n15702 23664\n53062 79617\n63447 95160\n72658 100000\n83511 100000\n59975 89984\n5989 9003\n64869 97301\n73840 100000\n99975 100000\n72750 100000\n65382 98069\n39070 58769\n79084 100000\n10142 15271\n30442 45856\n88493 100000\n78907 100000\n32141 48393\n88623 100000\n19277 29044\n92174 100000\n85978 100000\n41114 61823\n85896 100000\n54997 82507\n55815 83730\n36323 54631\n41678 62657\n93960 100000\n42907 64484\n24331 36693\n25927 39054\n15717 23688\n80144 100000\n11831 17828\n93683 100000\n52127 78234\n37800 56872\n54262 81424\n37990 57164\n32342 48701\n81253 100000\n31053 46765\n53806 80736\n81741 100000\n32774 49341\n61967 92935\n8938 13450\n35537 53451\n24256 36578\n67180 100000\n87430 100000\n27975 42134\n9198 13832\n69675 100000\n16100 24264\n87326 100000\n38227 57514\n58346 87529\n86248 100000\n85282 100000\n74337 100000\n61161 91740\n15230 22948\n27987 42152\n14792 22298\n70944 100000\n71035 100000\n41141 61862\n98220 100000\n89037 100000\n41358 62177\n52788 79202\n38733 58263\n98339 100000\n18889 28450\n93414 100000\n90108 100000\n46335 69594\n52321 78521\n93773 100000\n33830 50899\n65196 97787\n91217 100000\n82441 100000\n90315 100000\n57247 85857\n3060 4622\n7623 11459\n50354 75593\n23118 34844\n1908 2901\n94690 100000\n97712 100000\n86802 100000\n41098 61798\n56060 84098\n80482 100000\n20350 30684\n13117 19755\n41560 62477\n60083 90143\n81567 100000\n67715 100000\n3937 5916\n91565 100000\n27885 42001\n40066 60267\n23463 35383\n45009 67620\n86134 100000\n21005 31665\n67361 100000\n2182 3307\n32226 48527\n58851 88297\n46216 69423\n50186 75331\n45447 68268\n47896 71919\n86273 100000\n33376 50225\n94098 100000\n86005 100000\n5531 8304\n89708 100000\n65555 98334\n8961 13486\n17354 26161\n72265 100000\n26217 39486\n91263 100000\n92616 100000\n64542 96801\n56990 85474\n53145 79740\n47839 71837\n42588 64014\n16909 25492\n31002 46692\n14495 21852\n68294 100000\n16883 25452\n13535 20391\n67538 100000\n65389 98080\n60379 90580\n70296 100000\n87226 100000\n6814 10238\n14240 21465\n3102 4687\n61212 91809\n11399 17175\n50823 76296\n2006 3051\n9733 14657\n62446 93672\n23170 34921\n44688 67130\n51230 76908\n12217 18398\n72260 100000\n24787 37356\n10509 15815\n95068 100000\n53132 79721\n49864 74847\n53497 80264\n1005 1533\n11412 17197\n34980 52618\n16368 24671\n51939 77968\n37895 57016\n30102 45347\n11489 17310\n4179 6273\n22274 33585\n69052 100000\n25214 37992\n13333 20075\n1475 2259\n31316 47152\n51247 76930\n19491 29381\n34514 51916\n21574 32521\n89961 100000\n14010 21119\n17855 26906\n88174 100000\n18525 27910\n80741 100000\n86568 100000\n7504 11275\n47830 71824\n88703 100000\n71258 100000\n79372 100000\n90013 100000\n77625 100000\n44178 66371\n76972 100000\n74946 100000\n92932 100000\n27749 41795\n78756 100000\n1208 1844\n95255 100000\n86043 100000\n61355 92021\n74808 100000\n69522 100000\n89955 100000\n15558 23441\n22356 33707\n85273 100000\n62305 93460\n62560 93834\n95995 100000\n21827 32906\n56532 84805\n55876 83827\n24148 36407\n95227 100000\n22652 34154\n42677 64141\n22854 34455\n48645 73030\n56505 84762\n73660 100000\n81718 100000\n29459 44367\n46297 69539\n57319 85974\n36177 54411\n7341 11028\n21795 32857\n30670 46196\n9481 14266\n30390 45777\n4738 7116\n77274 100000\n33249 50042\n45918 68980\n23427 35333\n64328 96480\n88609 100000\n61089 91629\n44351 66628\n42612 64050\n81415 100000\n27967 42124\n78623 100000\n94072 100000\n20328 30646\n3895 5856\n66859 100000\n11880 17903\n39848 59939\n90754 100000\n60861 91300\n32899 49529\n62083 93111\n2580 3905\n25722 38747\n79645 100000\n30510 45957\n13838 20846\n279 426\n27886 42003\n23708 35743\n59680 89539\n7100 10663\n67169 100000\n21687 32694\n87600 100000\n57878 86825\n42559 63968\n76493 100000\n57403 86111\n3243 4901\n93025 100000\n7420 11150\n64079 96121\n82883 100000\n5080 7630\n38773 58324\n5945 8936\n30710 46258\n44898 67457\n60730 91103\n5820 8745\n21734 32764\n76616 100000\n64310 96454\n76454 100000\n20856 31448\n97283 100000\n94703 100000\n98171 100000\n84609 100000\n97821 100000\n42305 63585\n80488 100000\n27135 40858\n55577 83374\n84263 100000\n29259 44083\n68866 100000\n77995 100000\n29343 44211\n32850 49456\n76795 100000\n71490 100000\n23370 35235\n5723 8595\n38060 57264\n69480 100000\n27675 41681\n31211 47008\n97649 100000\n70277 100000\n59841 89784\n26551 39979\n57278 85906\n83024 100000\n8946 13462\n51330 77051\n15019 22633\n6958 10445\n97794 100000\n17579 26487\n65385 98074\n24662 37169\n96916 100000\n86885 100000\n48183 72362\n96779 100000\n1203 1837\n24833 37423\n70355 100000\n48599 72960\n23452 35366\n80896 100000\n35290 53084\n32425 48827\n55176 82771\n40719 61234\n79873 100000\n62456 93687\n63269 94891\n41767 62785\n62543 93808\n53106 79686\n23690 35717\n70294 100000\n48151 72310\n8887 13372\n51389 77141\n14995 22598\n48917 73442\n91093 100000\n38346 57694\n90945 100000\n79116 100000\n78691 100000\n73126 100000\n9443 14207\n79673 100000\n61250 91871\n25023 37708\n91326 100000\n65294 97930\n26591 40034\n43031 64673\n94449 100000\n1070 1633\n56191 84278\n76329 100000\n42813 64342\n57084 85613\n96812 100000\n46641 70052\n71201 100000\n45701 68666\n32133 48382\n99616 100000\n86716 100000\n55024 82546\n99191 100000\n72305 100000\n46634 70042\n52063 78144\n8468 12732\n81436 100000\n76713 100000\n67103 100000\n7357 11051\n17505 26381\n21879 32980\n49546 74380\n18199 27419\n92452 100000\n84617 100000\n43744 65747\n54851 82294\n27660 41661\n95681 100000\n21963 33109\n64236 96352\n73181 100000\n76058 100000\n3090 4669\n32218 48515\n85093 100000\n22080 33284\n19019 28646\n34324 51631\n8569 12891\n11290 17001\n12698 19131\n66275 99440\n42363 63669\n54788 82202\n12103 18231\n57675 86523\n65278 97908\n23759 35814\n64713 97062\n70425 100000\n94283 100000\n89735 100000\n33979 51117\n71960 100000\n39808 59888\n58144 87231\n60831 91257\n72282 100000\n42170 63392\n42620 64060\n36726 55259\n20613 31088\n64702 97044\n79362 100000\n96315 100000\n83393 100000\n3175 4802\n61180 91766\n97402 100000\n34549 51967\n66607 99939\n62196 93294\n19412 29261\n55000 82512\n92749 100000\n87494 100000\n52518 78807\n46448 69766\n45141 67813\n1610 2452\n35820 53879\n30963 46640\n22478 33892\n45190 67888\n39106 58822\n16765 25268\n37290 56097\n23573 35543\n25177 37938\n83623 100000\n55417 83131\n14023 21134\n11939 17991\n92589 100000\n25083 37802\n39334 59166\n79821 100000\n26045 39229\n7984 12004\n29105 43852\n68075 100000\n61763 92632\n32710 49249\n33855 50932\n52152 78271\n38851 58432\n19356 29173\n58318 87487\n52950 79447\n17959 27060\n16979 25597\n85577 100000\n39174 58927\n12494 18824\n75797 100000\n89194 100000\n49066 73659\n15394 23187\n1695 2580\n3115 4704\n18279 27538\n99807 100000\n40379 60728\n11351 17095\n32184 48461\n12487 18814\n53567 80369\n33195 49959\n21312 32116\n47539 71379\n31243 47053\n83561 100000\n70824 100000\n32112 48350\n63422 95124\n67752 100000\n77762 100000\n87623 100000\n78740 100000\n25433 38321\n93928 100000\n41835 62892\n10008 15070\n69324 100000\n56907 85357\n62229 93346\n39325 59150\n23434 35342\n11193 16846\n67166 100000\n38798 58356\n87620 100000\n92298 100000\n56280 84413\n19274 29039\n6027 9062\n27020 40688\n61779 92657\n21849 32936\n85113 100000\n22604 34082\n61230 91839\n88185 100000\n1607 2448\n54978 82478\n46520 69872\n9059 13632\n98921 100000\n46024 69138\n20352 30687\n60551 90835\n98959 100000\n46428 69737\n95471 100000\n85221 100000\n90581 100000\n13604 20493\n96681 100000\n9109 13701\n41960 63086\n28940 43608\n60348 90536\n48846 73335\n32104 48339\n29371 44246\n8854 13325\n51574 77424\n3313 5006\n92566 100000\n599 920\n75906 100000\n93794 100000\n65959 98955\n85675 100000\n49789 74736\n76397 100000\n37157 55910\n46043 69167\n5035 7563\n90380 100000\n24008 36194\n9625 14491\n73637 100000\n5863 8807\n28060 42261\n15465 23298\n72249 100000\n13063 19671\n34760 52281\n92795 100000\n35570 53504\n62098 93134\n37335 56166\n95386 100000\n92903 100000\n18524 27909\n55891 83853\n75418 100000\n47465 71267\n81623 100000\n8153 12262\n39116 58837\n2378 3600\n69008 100000\n60190 90300\n57971 86968\n21464 32348\n3033 4583\n93171 100000\n48536 72871\n36907 55542\n92266 100000\n93142 100000\n18184 27394\n55091 82647\n30771 46353\n79357 100000\n3645 5493\n8291 12465\n21960 33103\n65777 98674\n62190 93285\n10308 15519\n35493 53386\n32203 48490\n20241 30524\n19975 30128\n64710 97056\n58713 88090\n71684 100000\n78966 100000\n99479 100000\n98092 100000\n86574 100000\n76002 100000\n37770 56830\n9170 13792\n65656 98484\n87035 100000\n21990 33145\n91115 100000\n29555 44512\n56994 85480\n76230 100000\n81826 100000\n24505 36952\n62589 93878\n32263 48581\n37809 56883\n39247 59031\n36287 54574\n65795 98702\n356 548\n65285 97917\n57398 86102\n71458 100000\n42840 64383\n77095 100000\n87950 100000\n32275 48599\n58722 88105\n7381 11089\n82788 100000\n93325 100000\n52077 78161\n87198 100000\n98483 100000\n85960 100000\n77795 100000\n93401 100000\n31352 47208\n91147 100000\n87838 100000\n86254 100000\n13316 20053\n60129 90209\n66819 100000\n52172 78298\n64536 96792\n35183 52932\n3646 5494\n44606 67010\n34352 51671\n10943 16464\n17723 26705\n31720 47779\n21991 33147\n28479 42904\n3048 4605\n5988 9001\n44171 66362\n24686 37205\n80868 100000\n94331 100000\n1988 3023\n95994 100000\n15245 22971\n79935 100000\n62357 93536\n28644 43159\n54638 81975\n43074 64736\n80709 100000\n83969 100000\n94989 100000\n66341 99544\n63404 95099\n50237 75413\n54256 81417\n46971 70536\n13030 19618\n69293 100000\n97371 100000\n15193 22890\n41786 62817\n84321 100000\n1315 2005\n18544 27937\n86725 100000\n52937 79422\n82435 100000\n89086 100000\n80703 100000\n18821 28350\n18502 27874\n63354 95020\n32700 49234\n22700 34225\n19055 28699\n46109 69269\n17434 26281\n97882 100000\n97638 100000\n46612 70011\n55454 83187\n50800 76264\n1444 2209\n48115 72257\n86201 100000\n78355 100000\n93234 100000\n19656 29631\n7272 10922\n70982 100000\n10933 16448\n61097 91641\n2246 3403\n52046 78122\n49490 74300\n91942 100000\n3227 4878\n97297 100000\n58535 87819\n53540 80330\n78974 100000\n21169 31903\n51891 77899\n91939 100000\n48396 72669\n80747 100000\n24568 37034\n60105 90174\n39431 59308\n21306 32107\n36970 55629\n21598 32558\n79575 100000\n9472 14252\n12173 18334\n61440 92142\n36006 54154\n6629 9960\n88793 100000\n87864 100000\n67873 100000\n88987 100000\n61371 92046\n18973 28574\n92884 100000\n42429 63772\n14017 21128\n73610 100000\n30236 45543\n46832 70331\n56950 85424\n95624 100000\n63637 95441\n36775 55336\n74944 100000\n95549 100000\n23553 35515\n23752 35805\n42473 63833\n15761 23756\n75857 100000\n28623 43131\n58566 87863\n50703 76111\n47088 70712\n75811 100000\n93323 100000\n38281 57600\n21038 31712\n25196 37965\n58189 87297\n23091 34805\n87355 100000\n48824 73303\n11359 17109\n29206 44004\n5536 8312\n97255 100000\n7679 11540\n56768 85153\n40563 61005\n33447 50329\n13722 20670\n35853 53928\n50302 75512\n97689 100000\n77208 100000\n95503 100000\n62436 93659\n94074 100000\n36992 55663\n56932 85398\n67112 100000\n87139 100000\n50204 75359\n61693 92524\n66817 100000\n41861 62933\n3590 5415\n72309 100000\n51343 77073\n54982 82486\n13680 20608\n70679 100000\n68320 100000\n48473 72781\n59156 88756\n30924 46584\n7789 11704\n35058 52737\n65911 98880\n49684 74579\n277 423\n68375 100000\n78002 100000\n50250 75431\n85454 100000\n81781 100000\n57267 85888\n22653 34155\n37958 57116\n82541 100000\n4540 6831\n3487 5272\n52130 78239\n74760 100000\n20274 30573\n72323 100000\n40598 61057\n36379 54723\n28035 42224\n81682 100000\n93673 100000\n56745 85119\n26612 40065\n15931 24013\n48735 73173\n46541 69902\n95532 100000\n59330 89027\n96821 100000\n47523 71353\n45486 68325\n19176 28885\n48551 72892\n46491 69831\n11936 17987\n45111 67771\n62529 93789\n43576 65493\n79648 100000\n56598 84901\n96210 100000\n1760 2678\n81720 100000\n40283 60588\n94109 100000\n8534 12836\n87052 100000\n64548 96810\n45828 68847\n97632 100000\n86733 100000\n96420 100000\n65482 98221\n40051 60244\n56657 84991\n14605 22016\n43750 65757\n8750 13167\n18437 27772\n52752 79147\n99499 100000\n98027 100000\n61126 91682\n66461 99719\n59812 89741\n91992 100000\n63936 95891\n93538 100000\n14070 21205\n45749 68736\n13555 20423\n62476 93715\n89734 100000\n93162 100000\n87908 100000\n13852 20868\n4972 7466\n51808 77774\n63627 95429\n79231 100000\n65491 98235\n93198 100000\n46068 69207\n47957 72016\n24063 36280\n96835 100000\n53031 79564\n5336 8012\n55012 82530\n72978 100000\n94529 100000\n51359 77098\n55224 82843\n38749 58286\n13110 19743\n17881 26948\n34541 51954\n42118 63317\n59484 89247\n41288 62078\n83400 100000\n90493 100000\n46037 69157\n5040 7572\n37666 56668\n96233 100000\n62689 94028\n40464 60857\n1026 1565\n15949 24036\n68769 100000\n51775 77727\n22489 33909\n39294 59103\n79825 100000\n13901 20945\n17367 26179\n53257 79899\n39211 58980\n39027 58702\n63727 95575\n17439 26287\n66678 100000\n31141 46903\n95229 100000\n89105 100000\n67390 100000\n69520 100000\n44040 66177\n7194 10802\n42307 63587\n85714 100000\n82396 100000\n76208 100000\n81035 100000\n34622 52072\n23939 36085\n46181 69372\n92293 100000\n46772 70236\n95662 100000\n44138 66316\n1795 2733\n22016 33186\n64532 96786\n98048 100000\n43075 64737\n72075 100000\n93850 100000\n97257 100000\n72975 100000\n80070 100000\n52717 79092\n46246 69467\n41993 63136\n12873 19378\n80957 100000\n93822 100000\n58505 87776\n56899 85346\n48232 72430\n70983 100000\n30434 45844\n38544 57980\n75211 100000\n31225 47027\n9651 14529\n72257 100000\n23641 35643\n8907 13403\n57766 86657\n50887 76391\n73501 100000\n76788 100000\n58121 87195\n13974 21064\n11680 17603\n27438 41326\n54626 81957\n78569 100000\n53226 79858\n75529 100000\n24022 36216\n68345 100000\n16984 25604\n66349 99555\n9635 14505\n7249 10885\n29617 44606\n87410 100000\n20412 30778\n47768 71729\n55478 83225\n45929 68997\n44314 66576\n22509 33937\n18028 27159\n91905 100000\n18156 27354\n28459 42877\n30859 46482\n67562 100000\n82406 100000\n91816 100000\n89185 100000\n53317 79985\n22929 34566\n31181 46965\n14699 22162\n51851 77837\n23168 34918\n33957 51086\n85299 100000\n48630 73005\n61745 92604\n25893 39004\n46719 70157\n57296 85932\n94046 100000\n99946 100000\n89431 100000\n65267 97892\n39705 59728\n93741 100000\n12077 18196\n65829 98753\n40161 60403\n90076 100000\n35107 52809\n72587 100000\n64483 96707\n3885 5843\n49616 74483\n60545 90826\n77179 100000\n2952 4462\n43306 65093\n87925 100000\n90639 100000\n94542 100000\n37703 56726\n31834 47948\n64032 96046\n32249 48561\n99129 100000\n6100 9173\n53543 80334\n15209 22914\n6482 9743\n72159 100000\n9454 14223\n33353 50191\n82813 100000\n57789 86691\n67471 100000\n48420 72702\n79547 100000\n98163 100000\n35728 53740\n51706 77626\n1490 2283\n35236 53009\n20021 30193\n67289 100000\n20672 31178\n15535 23407\n64981 97466\n82901 100000\n91082 100000\n14422 21743\n14176 21365\n87543 100000\n20609 31082\n14544 21926\n42304 63584\n81246 100000\n81531 100000\n57333 85998\n16641 25082\n97287 100000\n2647 4006\n52799 79220\n93797 100000\n42743 64243\n10337 15558\n33109 49834\n77752 100000\n87630 100000\n43267 65031\n14326 21588\n69927 100000\n65956 98950\n84026 100000\n74330 100000\n82022 100000\n27033 40709\n66871 100000\n56130 84197\n70860 100000\n28787 43382\n73158 100000\n59973 89981\n58266 87405\n77052 100000\n41635 62590\n94197 100000\n57584 86388\n32499 48939\n49077 73676\n86741 100000\n21760 32806\n39540 59472\n41619 62567\n6785 10198\n50590 75947\n96299 100000\n70115 100000\n4284 6435\n38753 58291\n76628 100000\n35452 53324\n84465 100000\n76105 100000\n71556 100000\n81010 100000\n41636 62591\n65469 98202\n29762 44830\n94776 100000\n22161 33413\n86686 100000\n91587 100000\n50959 76502\n32746 49299\n16797 25321\n75312 100000\n97879 100000\n45058 67693\n80760 100000\n46983 70553\n26974 40620\n15637 23566\n16387 24700\n99885 100000\n73397 100000\n96465 100000\n57863 86799\n9407 14155\n98467 100000\n91797 100000\n77362 100000\n57386 86083\n98857 100000\n43533 65425\n83513 100000\n12507 18845\n7196 10805\n27047 40729\n46677 70104\n89585 100000\n11563 17425\n4374 6569\n57238 85843\n97785 100000\n49297 74010\n82371 100000\n47977 72047\n15724 23698\n27083 40784\n51485 77290\n46018 69128\n7556 11357\n59126 88710\n95725 100000\n29123 43875\n28873 43510\n68762 100000\n81212 100000\n58005 87019\n92255 100000\n76669 100000\n64280 96413\n71294 100000\n33322 50147\n38193 57464\n78389 100000\n54175 81298\n88843 100000\n89421 100000\n47949 72007\n23589 35565\n5911 8883\n63722 95569\n41815 62860\n60982 91473\n91260 100000\n50193 75342\n443 680\n92477 100000\n53577 80384\n95254 100000\n15319 23079\n53714 80595\n40272 60571\n40508 60921\n90830 100000\n30719 46269\n51829 77809\n78423 100000\n16786 25302\n64221 96331\n44393 66692\n3796 5716\n63600 95387\n12003 18086\n64271 96399\n74304 100000\n5986 8999\n49016 73587\n48113 72254\n95700 100000\n95827 100000\n2231 3381\n32640 49142\n60660 90998\n66129 99214\n3296 4979\n25696 38708\n13639 20546\n59166 88769\n99855 100000\n46967 70531\n27089 40792\n6709 10080\n62431 93649\n77183 100000\n93625 100000\n98581 100000\n5909 8880\n62864 94284\n34215 51461\n39532 59460\n38635 58121\n90267 100000\n2335 3536\n47860 71869\n33610 50566\n72289 100000\n94750 100000\n99477 100000\n93591 100000\n92602 100000\n92700 100000\n41904 63001\n77174 100000\n34329 51638\n97038 100000\n7965 11972\n86873 100000\n16217 24446\n7861 11817\n58544 87832\n70189 100000\n84222 100000\n75927 100000\n53642 80481\n44627 67039\n69027 100000\n76709 100000\n95959 100000\n28941 43609\n85463 100000\n29901 45042\n70358 100000\n49419 74193\n24152 36412\n65185 97768\n88078 100000\n84927 100000\n70067 100000\n12634 19036\n70037 100000\n49526 74353\n31256 47069\n48485 72797\n7222 10844\n45960 69043\n61918 92867\n36263 54536\n21128 31842\n99309 100000\n99067 100000\n27720 41748\n64051 96076\n12025 18122\n75678 100000\n71188 100000\n82828 100000\n290 445\n74684 100000\n22388 33758\n90243 100000\n83847 100000\n95484 100000\n34378 51712\n57352 86028\n80500 100000\n51828 77807\n93238 100000\n78520 100000\n56962 85439\n41554 62468\n80525 100000\n52557 78864\n14954 22541\n2953 4463\n200 307\n67064 100000\n78086 100000\n36479 54878\n97530 100000\n20001 30165\n11110 16719\n97928 100000\n15625 23544\n19600 29549\n6246 9387\n73611 100000\n22297 33619\n25289 38103\n73111 100000\n65426 98139\n74023 100000\n23341 35190\n72402 100000\n21162 31894\n13259 19969\n47302 71026\n55469 83211\n35249 53025\n67000 100000\n91541 100000\n37607 56583\n33796 50850\n1323 2017\n82538 100000\n99293 100000\n46325 69579\n13863 20885\n55743 83622\n79338 100000\n59232 88872\n64422 96616\n97438 100000\n4547 6841\n11967 18032\n86238 100000\n3570 5386\n67964 100000\n51582 77436\n1037 1581\n95080 100000\n87668 100000\n38498 57917\n92081 100000\n82116 100000\n29791 44874\n61574 92339\n88765 100000\n86636 100000\n34157 51374\n71158 100000\n59465 89221\n35008 52661\n96489 100000\n85000 100000\n99619 100000\n30656 46175\n24557 37021\n52564 78876\n77870 100000\n61929 92882\n40597 61056\n63923 95873\n86702 100000\n80324 100000\n44339 66611\n86 131\n77664 100000\n42662 64120\n60986 91480\n41695 62684\n84513 100000\n51176 76835\n59438 89182\n22452 33852\n18151 27346\n3679 5544\n57869 86810\n34119 51324\n80015 100000\n14224 21439\n10545 15864\n17410 26245\n18940 28525\n62004 92995\n87439 100000\n26572 40008\n16285 24550\n63969 95944\n28771 43358\n68250 100000\n62772 94149\n9427 14183\n96064 100000\n5174 7764\n69736 100000\n39248 59033\n76509 100000\n4637 6967\n44641 67060\n23302 35128\n69092 100000\n58627 87956\n98046 100000\n28407 42795\n14809 22322\n39750 59800\n28594 43083\n90731 100000\n79515 100000\n33271 50074\n82625 100000\n41497 62385\n72415 100000\n50693 76095\n79301 100000\n79567 100000\n14003 21109\n51452 77236\n87917 100000\n50203 75357\n20108 30324\n34035 51204\n56882 85319\n44477 66813\n38256 57563\n99782 100000\n60016 90048\n14030 21146\n28539 42998\n6528 9812\n91367 100000\n96947 100000\n11137 16760\n98040 100000\n40785 61330\n37740 56784\n37834 56922\n6218 9344\n99066 100000\n51079 76678\n10502 15805\n28441 42852\n31259 47074\n42896 64466\n58539 87826\n53023 79552\n13637 20543\n30364 45737\n79961 100000\n8172 12290\n60499 90764\n537 823\n4532 6817\n45937 69008\n21746 32784\n61525 92266\n96392 100000\n80755 100000\n30235 45542\n74133 100000\n1462 2236\n56041 84074\n53314 79982\n33381 50232\n80645 100000\n19063 28711\n73247 100000\n61298 91942\n39964 60117\n54209 81346\n21728 32755\n68409 100000\n68666 100000\n72052 100000\n87110 100000\n78582 100000\n8515 12808\n74522 100000\n22536 33973\n61719 92562\n34685 52170\n34056 51237\n18588 28006\n8625 12981\n81176 100000\n88716 100000\n69337 100000\n96580 100000\n6476 9735\n4282 6431\n86980 100000\n78068 100000\n47514 71340\n91935 100000\n72672 100000\n59193 88812\n4108 6169\n89491 100000\n25382 38241\n33318 50141\n2719 4113\n9971 15012\n96968 100000\n83138 100000\n29063 43789\n94634 100000\n50595 75952\n70971 100000\n9091 13676\n59818 89751\n71933 100000\n71482 100000\n14458 21800\n12087 18209\n90799 100000\n59345 89050\n45392 68186\n61226 91832\n38157 57406\n49281 73984\n41657 62626\n93984 100000\n95915 100000\n5400 8109\n21340 32159\n88797 100000\n61475 92195\n61991 92977\n61095 91638\n46889 70416\n60361 90556\n65802 98711\n1237 1886\n23145 34883\n11858 17871\n84028 100000\n717 1103\n90026 100000\n49774 74716\n54887 82342\n69301 100000\n19417 29269\n65373 98056\n93903 100000\n3641 5486\n2309 3498\n68445 100000\n59705 89581\n35571 53505\n28362 42730\n835 1282\n16330 24619\n23322 35163\n97876 100000\n86761 100000\n22766 34323\n73718 100000\n93659 100000\n30033 45238\n55184 82784\n79148 100000\n38418 57802\n44744 67216\n97190 100000\n1761 2680\n22906 34534\n45626 68550\n16372 24677\n46430 69739\n84838 100000\n85051 100000\n78942 100000\n27100 40808\n33825 50892\n20237 30519\n27290 41096\n66987 100000\n47245 70940\n87159 100000\n91874 100000\n96992 100000\n33721 50735\n16808 25337\n13377 20144\n10340 15563\n94626 100000\n75412 100000\n47489 71300\n87541 100000\n68926 100000\n18637 28078\n92205 100000\n43220 64959\n36037 54199\n23160 34906\n40517 60935\n47299 71022\n54929 82404\n3224 4874\n97217 100000\n20925 31549\n54698 82067\n39319 59141\n76016 100000\n83159 100000\n48010 72093\n91230 100000\n43926 66017\n42232 63486\n92086 100000\n62674 94004\n67949 100000\n74837 100000\n63916 95863\n99248 100000\n2954 4465\n72158 100000\n74025 100000\n74785 100000\n19548 29463\n74838 100000\n96094 100000\n9784 14727\n33767 50806\n10514 15821\n95159 100000\n27976 42136\n4617 6938\n94553 100000\n34488 51874\n409 630\n55038 82566\n57518 86280\n47385 71151\n9421 14175\n90537 100000\n23727 35771\n85984 100000\n6508 9783\n72280 100000\n6855 10296\n46500 69843\n72021 100000\n50074 75157\n32844 49445\n72015 100000\n77452 100000\n68129 100000\n80618 100000\n68704 100000\n27707 41731\n97196 100000\n15160 22842\n89149 100000\n51592 77452\n79951 100000\n99471 100000\n63758 95631\n14184 21377\n10181 15324\n58642 87977\n74465 100000\n47855 71862\n8271 12435\n53437 80168\n31350 47204\n60693 91046\n33325 50152\n30851 46468\n89809 100000\n16425 24754\n19534 29440\n25232 38019\n58330 87505\n66145 99239\n234 360\n99811 100000\n49165 73811\n30832 46443\n30153 45423\n43128 64821\n38113 57344\n47329 71069\n41888 62976\n81691 100000\n27196 40953\n14471 21816\n33717 50731\n89613 100000\n30655 46174\n8060 12120\n53644 80484\n17683 26641\n77499 100000\n44567 66952\n89903 100000\n16923 25512\n54901 82360\n67956 100000\n66265 99426\n56260 84380\n58053 87093\n80783 100000\n53286 79942\n67072 100000\n84406 100000\n5160 7745\n2630 3980\n10328 15547\n76554 100000\n56449 84671\n32526 48982\n6174 9279\n11143 16770\n73306 100000\n29917 45064\n27653 41653\n17030 25672\n17295 26079\n21208 31959\n72072 100000\n66282 99451\n26276 39577\n51544 77379\n53233 79866\n13867 20892\n41561 62479\n43414 65257\n99449 100000\n43327 65123\n64831 97245\n99572 100000\n4947 7429\n51699 77615\n91938 100000\n86227 100000\n67356 100000\n61252 91875\n42010 63158\n20963 31603\n11240 16921\n12410 18694\n15468 23301\n22468 33878\n35311 53113\n50238 75415\n23494 35433\n41902 62999\n85199 100000\n29691 44717\n72029 100000\n53202 79821\n55037 82564\n64141 96209\n77818 100000\n33905 51008\n59239 88883\n71717 100000\n89726 100000\n77778 100000\n97774 100000\n67050 100000\n87138 100000\n53081 79648\n64999 97491\n46267 69497\n97490 100000\n25639 38623\n1512 2311\n42489 63858\n95205 100000\n43483 65356\n98049 100000\n93968 100000\n97788 100000\n30392 45781\n97809 100000\n6029 9066\n29994 45181\n63591 95371\n94937 100000\n17245 26004\n93728 100000\n21654 32641\n49160 73802\n35884 53976\n86665 100000\n29799 44887\n343 527\n41323 62129\n62852 94267\n9712 14626\n93696 100000\n41205 61958\n47610 71483\n77091 100000\n73828 100000\n46459 69783\n4309 6477\n9385 14118\n64907 97360\n49095 73701\n88589 100000\n33679 50672\n96016 100000\n25871 38973\n74856 100000\n50610 75975\n29142 43904\n21912 33031\n68366 100000\n25577 38538\n33086 49801\n31737 47804\n86310 100000\n58873 88328\n58918 88396\n66741 100000\n50536 75862\n67848 100000\n10914 16422\n89950 100000\n57564 86354\n71364 100000\n45383 68172\n13304 20033\n16966 25578\n75050 100000\n62406 93611\n90100 100000\n16546 24936\n75052 100000\n72747 100000\n5518 8282\n52659 79011\n52023 78091\n72845 100000\n11699 17631\n96844 100000\n98187 100000\n11735 17688\n36447 54827\n26587 40027\n23428 35334\n16414 24741\n10834 16305\n49517 74341\n63496 95235\n98757 100000\n40843 61413\n62781 94161\n63721 95567\n36804 55380\n99589 100000\n24521 36975\n58560 87856\n30637 46145\n10394 15647\n31003 46693\n14078 21218\n49574 74418\n17310 26100\n53045 79588\n56011 84032\n49263 73961\n40588 61041\n10266 15454\n14281 21530\n38999 58662\n7038 10562\n46404 69701\n28303 42638\n31968 48137\n73843 100000\n48288 72508\n96620 100000\n57648 86482\n81846 100000\n11371 17130\n43604 65533\n53227 79859\n89055 100000\n61118 91669\n76304 100000\n16173 24379\n26942 40570\n59385 89113\n28339 42699\n14583 21980\n98366 100000\n50050 75122\n83894 100000\n19901 30014\n86069 100000\n4741 7120\n64825 97235\n89328 100000\n71964 100000\n1296 1974\n35391 53234\n96160 100000\n37345 56183\n89155 100000\n99192 100000\n78805 100000\n26874 40474\n17733 26721\n3795 5715\n35689 53680\n73527 100000\n70324 100000\n65595 98400\n53604 80426\n16169 24371\n51529 77353\n77947 100000\n34511 51911\n33950 51074\n13805 20795\n29345 44213\n25464 38368\n57865 86802\n25959 39099\n27477 41380\n33356 50196\n32547 49013\n71216 100000\n80740 100000\n27955 42106\n45013 67626\n86735 100000\n3862 5807\n38101 57325\n46340 69602\n99178 100000\n41898 62992\n41226 61989\n23112 34835\n43597 65523\n13244 19949\n62451 93678\n22113 33340\n71508 100000\n33068 49775\n32440 48849\n84536 100000\n29609 44593\n61407 92098\n59869 89827\n17125 25821\n62285 93430\n66400 99633\n18565 27973\n78129 100000\n41579 62504\n15791 23805\n16978 25595\n90477 100000\n81255 100000\n82150 100000\n25757 38800\n73896 100000\n87915 100000\n42624 64064\n43191 64916\n55049 82583\n11778 17749\n67822 100000\n4849 7285\n25363 38214\n40483 60882\n56863 85293\n79509 100000\n72259 100000\n50551 75886\n53674 80531\n62942 94402\n12237 18429\n11350 17093\n36587 55041\n50100 75198\n18844 28382\n38216 57496\n52198 78334\n64351 96513\n34955 52581\n7448 11194\n78232 100000\n90616 100000\n44287 66536\n88814 100000\n70181 100000\n25550 38497\n36412 54775\n15912 23986\n26693 40199\n64111 96171\n89141 100000\n50440 75726\n77857 100000\n89478 100000\n77531 100000\n67903 100000\n7569 11375\n67030 100000\n12456 18766\n99805 100000\n61704 92540\n19651 29625\n92418 100000\n2230 3380\n35319 53123\n42975 64592\n14660 22099\n67767 100000\n83588 100000\n81772 100000\n23625 35615\n21390 32234\n44038 66174\n37140 55883\n52067 78148\n84561 100000\n83107 100000\n20305 30614\n257 394\n19155 28855\n14564 21952\n12008 18093\n90997 100000\n2862 4322\n54633 81967\n40645 61126\n78479 100000\n9845 14817\n59213 88844\n26563 39994\n63907 95850\n29258 44081\n8778 13210\n39782 59848\n17897 26973\n27325 41150\n55508 83269\n58235 87361\n30557 46027\n31544 47510\n95176 100000\n99160 100000\n36306 54606\n67912 100000\n67133 100000\n31 50\n22950 34597\n79903 100000\n1292 1969\n39888 60006\n6052 9102\n15006 22614\n54237 81388\n32086 48314\n67473 100000\n99578 100000\n25558 38509\n85848 100000\n45443 68263\n38885 58492\n1396 2140\n74659 100000\n57154 85715\n47109 70747\n31504 47446\n43789 65814\n70058 100000\n60934 91407\n9570 14413\n31510 47454\n24767 37326\n25303 38123\n96379 100000\n1827 2783\n91482 100000\n50232 75406\n57749 86632\n63797 95693\n25164 37921\n36962 55618\n17695 26661\n3725 5609\n31803 47897\n12660 19076\n26024 39196\n94319 100000\n13870 20896\n36647 55137\n28538 42996\n20479 30886\n29301 44146\n74605 100000\n16463 24809\n86000 100000\n26747 40285\n58500 87768\n51847 77833\n2845 4300\n80776 100000\n22895 34518\n6044 9089\n44977 67573\n55504 83262\n85139 100000\n71227 100000\n44090 66251\n18863 28410\n14951 22537\n28688 43233\n60168 90264\n66344 99547\n4081 6129\n1041 1588\n94950 100000\n23385 35261\n40136 60371\n62094 93129\n13503 20341\n52385 78611\n66184 99297\n69813 100000\n20138 30373\n31588 47579\n95635 100000\n18207 27433\n16045 24181\n93525 100000\n29667 44678\n28471 42894\n55892 83855\n69167 100000\n56277 84408\n99958 100000\n31418 47313\n10028 15098\n87251 100000\n45326 68091\n44219 66439\n41039 61712\n14609 22022\n15153 22832\n45459 68288\n32571 49043\n47279 70992\n10691 16087\n69542 100000\n41444 62304\n9076 13655\n66712 100000\n96601 100000\n26833 40410\n20424 30798\n85042 100000\n29325 44181\n24095 36326\n46343 69606\n52080 78165\n65597 98403\n44120 66294\n46438 69751\n15157 22838\n76028 100000\n25325 38158\n58538 87824\n69601 100000\n80396 100000\n39719 59752\n4307 6474\n94455 100000\n90602 100000\n51034 76613\n99130 100000\n57872 86815\n93859 100000\n56355 84532\n31258 47072\n57413 86124\n17523 26408\n60069 90124\n71814 100000\n91391 100000\n84894 100000\n33897 50995\n4269 6409\n93453 100000\n7948 11948\n36613 55085\n65914 98883\n82599 100000\n19526 29431\n77725 100000\n56858 85285\n76494 100000\n96031 100000\n99746 100000\n1763 2683\n71902 100000\n48622 72995\n55634 83460\n92858 100000\n25223 38005\n42395 63721\n77923 100000\n14469 21813\n98974 100000\n14180 21371\n29183 43968\n72363 100000\n9864 14850\n2876 4344\n22631 34125\n37094 55811\n92521 100000\n94401 100000\n52307 78503\n37367 56219\n74815 100000\n4479 6735\n68628 100000\n48829 73309\n90734 100000\n63359 95028\n1244 1894\n96891 100000\n38115 57348\n62454 93683\n74612 100000\n14722 22198\n5789 8701\n20705 31225\n39478 59383\n88789 100000\n41242 62015\n59119 88700\n6538 9827\n75289 100000\n49251 73941\n97425 100000\n99343 100000\n16177 24385\n27867 41972\n32198 48481\n55963 83959\n98850 100000\n28525 42973\n88140 100000\n42479 63843\n67803 100000\n71061 100000\n21183 31920\n84402 100000\n90744 100000\n76013 100000\n31791 47879\n66808 100000\n94403 100000\n86820 100000\n18002 27122\n34064 51248\n58227 87350\n51524 77346\n21892 33000\n21350 32174\n48667 73064\n5315 7979\n38235 57527\n87488 100000\n6395 9609\n23537 35491\n90027 100000\n54430 81666\n23627 35619\n43130 64824\n97396 100000\n23388 35267\n42150 63367\n81859 100000\n52757 79156\n99550 100000\n58934 88422\n56534 84808\n79905 100000\n87268 100000\n48081 72203\n21403 32252\n60066 90120\n39673 59678\n66494 99770\n19432 29294\n53438 80170\n40622 61090\n81384 100000\n528 808\n9562 14401\n62246 93371\n91951 100000\n11933 17983\n18343 27636\n37710 56738\n64505 96741\n48181 72359\n44981 67579\n5396 8103\n37674 56680\n10260 15445\n37604 56577\n31889 48029\n81179 100000\n14350 21624\n57407 86118\n97886 100000\n90656 100000\n98278 100000\n82271 100000\n29699 44729\n30702 46246\n82699 100000\n44754 67233\n63532 95284\n88231 100000\n76843 100000\n83082 100000\n77333 100000\n98099 100000\n76340 100000\n28676 43213\n16755 25249\n50235 75410\n12393 18669\n55051 82586\n24995 37667\n51632 77515\n6560 9859\n98519 100000\n17231 25983\n94021 100000\n90331 100000\n46160 69342\n92949 100000\n14352 21627\n30281 45611\n45201 67905\n29213 44013\n41261 62041\n78863 100000\n25130 37868\n71427 100000\n12334 18577\n49980 75015\n79125 100000\n20466 30864\n89470 100000\n59361 89076\n24910 37537\n52481 78754\n65774 98670\n4657 6994\n16322 24607\n26506 39919\n63358 95027\n5861 8804\n68510 100000\n16458 24802\n61426 92126\n2509 3795\n13530 20383\n98589 100000\n59279 88940\n69200 100000\n98315 100000\n27546 41486\n17050 25706\n3464 5233\n46254 69478\n78149 100000\n88784 100000\n32907 49542\n13725 20675\n50641 76019\n84919 100000\n8879 13361\n23971 36135\n62865 94285\n98320 100000\n38318 57650\n88730 100000\n68018 100000\n36900 55529\n74649 100000\n53613 80438\n69790 100000\n91857 100000\n37127 55864\n65869 98815\n8330 12526\n13497 20331\n99239 100000\n32593 49076\n61451 92158\n54219 81361\n86413 100000\n46948 70503\n37925 57066\n79837 100000\n40643 61123\n69470 100000\n63831 95741\n12695 19126\n57676 86524\n2619 3962\n50866 76359\n15685 23639\n37700 56720\n44432 66752\n17211 25953\n10774 16217\n18874 28429\n65665 98498\n4844 7277\n63512 95255\n6245 9386\n49378 74131\n52508 78793\n86534 100000\n94437 100000\n49534 74363\n19140 28829\n37999 57174\n150 226\n70215 100000\n33315 50136\n6677 10036\n16218 24448\n39482 59390\n73319 100000\n34493 51881\n95153 100000\n61870 92794\n60031 90070\n82230 100000\n57904 86865\n76156 100000\n61573 92338\n27651 41649\n83411 100000\n19668 29651\n19572 29501\n51624 77504\n40216 60484\n55999 84011\n73259 100000\n98609 100000\n20900 31512\n57664 86506\n23791 35862\n39134 58868\n75525 100000\n12315 18548\n22745 34290\n70384 100000\n58686 88048\n50215 75377\n48020 72110\n38366 57722\n59299 88974\n80119 100000\n14698 22160\n73495 100000\n9240 13899\n38363 57717\n28220 42510\n95736 100000\n60054 90102\n20078 30281\n9678 14575\n12979 19539\n11877 17899\n6895 10356\n81768 100000\n93459 100000\n31744 47813\n65434 98149\n77315 100000\n91721 100000\n88800 100000\n91270 100000\n63665 95482\n76189 100000\n18468 27822\n90485 100000\n82954 100000\n99469 100000\n79753 100000\n36107 54302\n75874 100000\n26138 39372\n23265 35066\n99790 100000\n2666 4035\n6523 9806\n15461 23291\n404 623\n36615 55089\n64046 96068\n46908 70439\n15995 24103\n82238 100000\n48145 72302\n45091 67742\n45795 68801\n32451 48868\n79412 100000\n63251 94864\n89650 100000\n66633 99981\n75456 100000\n19240 28987\n88427 100000\n31989 48165\n49172 73820\n57218 85814\n34127 51333\n53815 80749\n28713 43270\n52037 78110\n72738 100000\n71429 100000\n5194 7794\n45217 67925\n7351 11043\n89475 100000\n57345 86018\n83669 100000\n81557 100000\n3182 4811\n38151 57398\n535 820\n24309 36659\n45047 67675\n93395 100000\n77132 100000\n82552 100000\n70382 100000\n32961 49617\n91073 100000\n37218 55992\n36276 54556\n95932 100000\n45704 68671\n5659 8496\n68397 100000\n56205 84299\n25591 38558\n93665 100000\n27538 41474\n732 1126\n29327 44184\n44969 67560\n40487 60888\n2861 4321\n58379 87581\n24600 37079\n90285 100000\n81558 100000\n85804 100000\n79584 100000\n734 1129\n2729 4128\n87137 100000\n81350 100000\n50552 75888\n1500 2294\n90180 100000\n36899 55527\n63775 95656\n40519 60938\n35944 54059\n97941 100000\n66021 99044\n44093 66256\n19908 30023\n19820 29882\n32296 48633\n30874 46508\n94256 100000\n28036 42226\n37187 55951\n49211 73884\n33380 50231\n41855 62925\n58619 87944\n96183 100000\n7933 11925\n87150 100000\n57569 86364\n21200 31944\n76728 100000\n61334 91990\n59708 89587\n66828 100000\n89413 100000\n64277 96408\n13308 20040\n91453 100000\n24572 37039\n36027 54186\n2343 3550\n40851 61427\n44058 66203\n4172 6262\n8635 12997\n67840 100000\n65134 97695\n60101 90169\n41622 62571\n21997 33155\n64095 96145\n79415 100000\n61383 92061\n66277 99444\n61920 92870\n82691 100000\n68833 100000\n45204 67910\n21067 31756\n55239 82864\n35257 53037\n74689 100000\n48319 72557\n85599 100000\n37 59\n41825 62875\n97191 100000\n87229 100000\n30048 45264\n46237 69450\n57483 86228\n11829 17824\n64142 96210\n1581 2410\n76177 100000\n98546 100000\n73441 100000\n48219 72414\n87899 100000\n26252 39541\n4506 6778\n24794 37365\n44109 66277\n64708 97054\n25213 37991\n12719 19164\n41159 61888\n65444 98164\n96987 100000\n58813 88240\n36840 55433\n29725 44770\n61499 92230\n22933 34574\n19330 29134\n67890 100000\n55250 82882\n32767 49332\n56822 85229\n49031 73608\n51042 76625\n21578 32527\n73401 100000\n55375 83067\n66300 99478\n80787 100000\n50936 76469\n8024 12065\n78808 100000\n94375 100000\n83422 100000\n320 490\n91849 100000\n70368 100000\n263 403\n2409 3639\n48584 72936\n97667 100000\n9563 14403\n37528 56467\n12692 19121\n97994 100000\n80215 100000\n58071 87120\n69155 100000\n44466 66798\n63571 95342\n62896 94332\n64161 96238\n85054 100000\n98336 100000\n65945 98934\n86943 100000\n98873 100000\n87658 100000\n94889 100000\n46413 69716\n14367 21650\n34814 52362\n79447 100000\n20006 30173\n24913 37540\n25753 38794\n81005 100000\n79056 100000\n73618 100000\n76581 100000\n493 752\n98980 100000\n70723 100000\n39017 58689\n47058 70661\n95010 100000\n24137 36390\n44721 67181\n69942 100000\n34533 51943\n80081 100000\n60353 90544\n18492 27860\n59686 89550\n58327 87501\n89399 100000\n99245 100000\n41500 62390\n24912 37539\n78783 100000\n1702 2593\n93795 100000\n4531 6816\n82439 100000\n29453 44359\n84135 100000\n35137 52853\n4557 6853\n45184 67879\n42562 63973\n26564 39996\n41593 62526\n80448 100000\n76779 100000\n23674 35694\n60759 91149\n57633 86462\n63898 95839\n31480 47406\n82306 100000\n22831 34419\n94260 100000\n25474 38383\n94483 100000\n36315 54619\n42085 63265\n17127 25824\n95426 100000\n71687 100000\n52774 79179\n8806 13254\n60866 91308\n44088 66249\n50377 75625\n3275 4949\n9730 14653\n49612 74475\n13513 20357\n67488 100000\n75601 100000\n35898 53995\n58915 88392\n11079 16673\n65055 97578\n16476 24830\n816 1256\n80805 100000\n82051 100000\n57396 86099\n94070 100000\n84653 100000\n73881 100000\n69803 100000\n24047 36255\n49007 73570\n18776 28283\n58645 87982\n2239 3392\n53735 80626\n143 215\n42435 63779\n37351 56193\n40770 61310\n52663 79016\n93515 100000\n95952 100000\n6766 10169\n8803 13249\n97139 100000\n78796 100000\n78925 100000\n43804 65839\n59442 89188\n59814 89744\n34462 51838\n31466 47382\n86500 100000\n40504 60915\n10342 15565\n89007 100000\n91102 100000\n25346 38189\n89766 100000\n38509 57931\n91272 100000\n4043 6071\n68681 100000\n91386 100000\n30727 46281\n30645 46157\n32 52\n47932 71979\n75444 100000\n56064 84103\n49395 74157\n67454 100000\n66465 99723\n82634 100000\n85917 100000\n58440 87680\n84967 100000\n54190 81321\n47572 71431\n12503 18838\n41802 62843\n9834 14801\n9952 14983\n8182 12306\n23761 35817\n27671 41675\n12816 19300\n41858 62930\n97247 100000\n95306 100000\n29400 44288\n70728 100000\n33236 50022\n83434 100000\n14164 21349\n41571 62494\n78473 100000\n97015 100000\n47854 71861\n56554 84838\n25897 39010\n188 288\n34625 52076\n4423 6648\n14936 22515\n40690 61192\n33006 49682\n93924 100000\n32423 48825\n32965 49624\n25442 38334\n43598 65524\n83502 100000\n33735 50755\n11490 17311\n50542 75872\n86236 100000\n77972 100000\n87715 100000\n15097 22750\n42459 63814\n98859 100000\n66548 99847\n15155 22834\n51674 77578\n63856 95776\n4579 6884\n77093 100000\n16880 25447\n41883 62967\n48776 73236\n16123 24298\n48998 73556\n73684 100000\n89619 100000\n97807 100000\n84983 100000\n66586 99906\n77859 100000\n97395 100000\n76740 100000\n92583 100000\n54640 81978\n51929 77954\n67766 100000\n72307 100000\n94973 100000\n87441 100000\n46277 69510\n63004 94499\n94851 100000\n31608 47613\n5584 8385\n94064 100000\n72479 100000\n37197 55964\n90924 100000\n38187 57456\n82312 100000\n9597 14453\n81039 100000\n25655 38644\n10165 15303\n27899 42024\n44990 67593\n56 91\n12207 18386\n96755 100000\n46370 69650\n22192 33461\n63188 94774\n20984 31631\n26994 40649\n2680 4058\n552 846\n68936 100000\n86355 100000\n8162 12276\n3527 5329\n12143 18289\n69557 100000\n26132 39362\n47269 70977\n94871 100000\n7169 10765\n90208 100000\n16253 24500\n46849 70354\n8754 13173\n26178 39427\n36385 54732\n92744 100000\n35310 53111\n28565 43040\n41131 61847\n23689 35715\n26023 39195\n13814 20810\n79625 100000\n36867 55478\n95977 100000\n2477 3745\n60739 91119\n60351 90541\n67220 100000\n19164 28868\n32936 49584\n76680 100000\n34097 51296\n40408 60772\n31216 47013\n34039 51212\n9683 14583\n69517 100000\n98021 100000\n44834 67352\n94017 100000\n38369 57728\n75150 100000\n75623 100000\n67598 100000\n76384 100000\n122 183\n55266 82907\n3626 5466\n94475 100000\n36169 54398\n28199 42478\n52970 79475\n46596 69986\n49361 74103\n58853 88299\n32822 49409\n29705 44737\n21988 33143\n46926 70469\n19234 28976\n75112 100000\n45587 68487\n47758 71712\n84993 100000\n34698 52188\n35154 52883\n18858 28402\n79895 100000\n24267 36594\n2528 3826\n20261 30556\n31726 47787\n36994 55666\n92153 100000\n94720 100000\n60812 91230\n82001 100000\n77689 100000\n13735 20691\n38721 58245\n49989 75029\n86606 100000\n17784 26798\n53662 80514\n49299 74012\n19999 30162\n88588 100000\n79848 100000\n21629 32604\n30674 46202\n71337 100000\n99569 100000\n47739 71680\n68150 100000\n87167 100000\n73818 100000\n59626 89457\n61777 92654\n35423 53282\n51437 77214\n85034 100000\n18780 28290\n53587 80399\n26385 39739\n61183 91770\n23176 34931\n13739 20698\n77746 100000\n49183 73837\n80323 100000\n69891 100000\n97815 100000\n72124 100000\n70553 100000\n64757 97136\n8388 12614\n11333 17066\n91443 100000\n37021 55706\n6276 9435\n47980 72051\n8663 13040\n65029 97538\n91977 100000\n59117 88696\n95160 100000\n11828 17823\n45737 68715\n13388 20162\n16863 25421\n28101 42324\n49883 74875\n89053 100000\n87561 100000\n10663 16042\n68448 100000\n92401 100000\n9873 14862\n44211 66428\n46030 69147\n47595 71464\n38199 57472\n81617 100000\n34902 52500\n57416 86128\n70501 100000\n35263 53045\n96331 100000\n98261 100000\n48412 72690\n29935 45090\n99020 100000\n52081 78167\n34343 51659\n9143 13752\n85045 100000\n33433 50309\n8512 12802\n21105 31809\n90464 100000\n85951 100000\n74042 100000\n66417 99656\n98251 100000\n68960 100000\n76354 100000\n98816 100000\n24655 37159\n42338 63631\n44069 66219\n87462 100000\n98106 100000\n98996 100000\n51086 76688\n70139 100000\n50611 75977\n40030 60215\n72809 100000\n15629 23551\n89944 100000\n2207 3344\n96893 100000\n37284 56087\n42716 64201\n73612 100000\n11263 16958\n79875 100000\n64864 97293\n74255 100000\n2051 3118\n28642 43157\n7453 11200\n88932 100000\n97203 100000\n66172 99279\n702 1079\n25661 38653\n64943 97412\n1847 2813\n19946 30084\n37636 56624\n32347 48708\n21344 32164\n90695 100000\n6622 9949\n43805 65840\n5289 7941\n67493 100000\n38982 58637\n26589 40031\n55041 82570\n24223 36528\n42880 64445\n54987 82493\n1767 2690\n50259 75445\n92010 100000\n42064 63234\n11578 17448\n16495 24858\n37072 55776\n31178 46960\n85473 100000\n1629 2481\n29768 44839\n69523 100000\n7847 11795\n46398 69692\n4432 6661\n38689 58199\n24899 37520\n63631 95434\n52736 79119\n92294 100000\n85892 100000\n5897 8858\n74752 100000\n92951 100000\n88934 100000\n16524 24906\n39381 59236\n27264 41055\n45963 69047\n28933 43598\n85513 100000\n77876 100000\n88207 100000\n74832 100000\n24071 36291\n66809 100000\n8255 12413\n16762 25262\n91008 100000\n64473 96692\n88998 100000\n26991 40646\n99969 100000\n31061 46779\n69365 100000\n39638 59626\n23081 34790\n29857 44970\n95899 100000\n87984 100000\n43362 65180\n45610 68525\n87532 100000\n44454 66781\n18308 27584\n99158 100000\n11836 17835\n18842 28380\n11025 16587\n81126 100000\n72169 100000\n44181 66375\n28785 43380\n83212 100000\n70687 100000\n79523 100000\n45286 68029\n54403 81627\n3015 4556\n46257 69483\n48462 72764\n33241 50030\n25836 38921\n90202 100000\n9488 14278\n83882 100000\n7667 11523\n17378 26197\n82409 100000\n53800 80727\n8671 13051\n75266 100000\n892 1369\n92670 100000\n69114 100000\n89929 100000\n57258 85873\n67044 100000\n34363 51687\n3315 5009\n97631 100000\n34811 52358\n78912 100000\n20642 31130\n85933 100000\n63698 95533\n77107 100000\n43278 65048\n59251 88898\n69423 100000\n67077 100000\n40421 60792\n6262 9413\n6515 9793\n76327 100000\n73342 100000\n15247 22973\n99230 100000\n65890 98849\n97581 100000\n74437 100000\n33070 49778\n27939 42083\n85705 100000\n42204 63447\n90897 100000\n58700 88069\n19501 29396\n11177 16820\n98219 100000\n14994 22596\n68645 100000\n74788 100000\n36712 55238\n4086 6135\n73471 100000\n9422 14177\n90531 100000\n71062 100000\n57585 86389\n71342 100000\n59083 88646\n60352 90543\n91384 100000\n11717 17659\n11720 17664\n28392 42771\n81413 100000\n48877 73382\n75424 100000\n32920 49561\n36749 55299\n3554 5366\n27185 40937\n79034 100000\n60264 90411\n20522 30953\n4123 6187\n49003 73563\n84367 100000\n38017 57202\n97341 100000\n35393 53238\n74179 100000\n6721 10099\n85306 100000\n61934 92889\n59776 89687\n84673 100000\n78765 100000\n82912 100000\n33273 50077\n3518 5316\n5718 8586\n48212 72404\n87812 100000\n13514 20359\n46180 69370\n82698 100000\n19266 29026\n60103 90171\n38786 58340\n21086 31784\n53641 80479\n33341 50177\n99450 100000\n83685 100000\n28749 43326\n14759 22250\n63149 94716\n36673 55178\n44427 66743\n48112 72253\n17681 26638\n65926 98905\n50791 76250\n87227 100000\n32817 49403\n37354 56198\n38909 58525\n4345 6528\n3861 5806\n47427 71213\n59785 89700\n10366 15603\n76803 100000\n47897 71921\n84035 100000\n68581 100000\n93781 100000\n7508 11281\n8339 12540\n74090 100000\n89897 100000\n30869 46500\n58541 87828\n36100 54293\n2122 3218\n62231 93350\n91162 100000\n43295 65076\n66108 99178\n4639 6970\n4416 6636\n67754 100000\n50042 75109\n68984 100000\n33469 50359\n91516 100000\n34183 51410\n2493 3771\n74402 100000\n44336 66606\n42083 63262\n44591 66987\n61565 92327\n67431 100000\n36431 54803\n14411 21723\n65311 97957\n90217 100000\n8350 12555\n61162 91742\n57082 85609\n15998 24108\n70391 100000\n81047 100000\n71695 100000\n22272 33582\n58630 87960\n33901 51001\n87145 100000\n47515 71341\n85007 100000\n29856 44969\n15837 23876\n33174 49926\n92382 100000\n99493 100000\n24341 36708\n16827 25365\n48793 73260\n80875 100000\n19310 29102\n42726 64215\n74051 100000\n2071 3147\n82771 100000\n43041 64688\n21568 32509\n75692 100000\n89957 100000\n28115 42348\n69359 100000\n92019 100000\n19529 29434\n67765 100000\n69887 100000\n76525 100000\n63741 95601\n87319 100000\n70132 100000\n16204 24427\n928 1418\n84671 100000\n79068 100000\n48836 73320\n89864 100000\n87641 100000\n618 951\n9670 14562\n63316 94964\n38578 58033\n39983 60144\n28575 43057\n55897 83863\n59197 88819\n93262 100000\n59352 89063\n55510 83273\n53444 80179\n78443 100000\n4977 7475\n72256 100000\n47785 71754\n9119 13717\n15464 23296\n98246 100000\n12158 18314\n15818 23848\n27087 40790\n18181 27390\n37036 55730\n55040 82568\n70900 100000\n26328 39655\n24179 36452\n11299 17014\n86565 100000\n46251 69473\n11583 17455\n11881 17905\n76400 100000\n14536 21913\n25831 38913\n27305 41120\n32703 49237\n49537 74367\n2473 3739\n35237 53010\n68624 100000\n96451 100000\n53560 80358\n29447 44352\n32749 49303\n90269 100000\n43954 66057\n96232 100000\n50614 75980\n40703 61211\n28788 43383\n75396 100000\n84510 100000\n24049 36259\n46726 70166\n36249 54515\n89525 100000\n31426 47325\n7370 11071\n47971 72036\n71679 100000\n23804 35881\n52129 78237\n97319 100000\n74909 100000\n81800 100000\n90949 100000\n93432 100000\n27005 40668\n78502 100000\n71905 100000\n4057 6094\n51549 77386\n44655 67082\n42008 63155\n74463 100000\n23392 35275\n35191 52943\n55288 82943\n83868 100000\n93446 100000\n62871 94295\n13018 19600\n94593 100000\n11738 17693\n54741 82129\n45944 69020\n81194 100000\n25167 37924\n61169 91753\n44787 67278\n36116 54316\n37314 56133\n4458 6704\n43664 65624\n54634 81968\n8928 13433\n22781 34345\n65392 98085\n23403 35293\n60399 90609\n32913 49551\n86259 100000\n37176 55935\n85771 100000\n62609 93910\n94424 100000\n32310 48654\n15405 23204\n23 36\n18557 27961\n49133 73763\n99764 100000\n27093 40798\n14121 21281\n60039 90080\n49048 73632\n29076 43807\n37269 56066\n80201 100000\n15727 23701\n33245 50034\n29481 44402\n2387 3610\n20313 30625\n80812 100000\n73889 100000\n59170 88775\n76504 100000\n71051 100000\n24501 36947\n8517 12812\n89802 100000\n35556 53480\n90697 100000\n97682 100000\n37392 56260\n67769 100000\n64428 96626\n5491 8240\n72032 100000\n56567 84857\n51738 77675\n81738 100000\n56166 84243\n82998 100000\n2004 3048\n72453 100000\n28879 43517\n56004 84019\n47631 71515\n46776 70242\n79999 100000\n11566 17429\n31007 46699\n98308 100000\n39237 59018\n98318 100000\n59200 88824\n25197 37967\n75250 100000\n53396 80110\n12428 18721\n53636 80472\n86455 100000\n39371 59222\n83728 100000\n81895 100000\n8542 12848\n64623 96922\n36849 55448\n24616 37102\n31687 47733\n82530 100000\n84128 100000\n127 191\n60722 91091\n95668 100000\n88880 100000\n49528 74356\n69780 100000\n83774 100000\n6688 10050\n43584 65503\n54173 81294\n89641 100000\n42039 63200\n3341 5052\n72268 100000\n72234 100000\n91208 100000\n99289 100000\n44596 66995\n84845 100000\n40763 61297\n56018 84041\n5608 8418\n8270 12433\n58810 88235\n97083 100000\n51242 76924\n32760 49320\n48147 72304\n4578 6883\n90930 100000\n59983 89998\n70542 100000\n59967 89973\n79188 100000\n38658 58155\n81354 100000\n8664 13041\n84854 100000\n71426 100000\n5253 7886\n71863 100000\n78379 100000\n4633 6961\n33448 50330\n32967 49626\n11591 17468\n9158 13776\n95763 100000\n38942 58577\n28699 43248\n82690 100000\n44434 66754\n64283 96417\n3557 5370\n56121 84182\n28477 42901\n6436 9672\n30157 45430\n95609 100000\n1431 2193\n25864 38963\n41845 62909\n78175 100000\n74553 100000\n76546 100000\n52623 78963\n2283 3457\n76586 100000\n95206 100000\n23382 35256\n57395 86097\n73558 100000\n79465 100000\n72559 100000\n56498 84750\n26799 40360\n94433 100000\n9553 14386\n34162 51380\n285 437\n21276 32060\n24249 36567\n32323 48673\n11248 16933\n84958 100000\n57760 86647\n69657 100000\n13366 20125\n79299 100000\n99421 100000\n71480 100000\n74855 100000\n8256 12415\n12498 18831\n57458 86193\n17010 25642\n36403 54761\n12920 19447\n4417 6637\n48345 72593\n32607 49096\n36538 54969\n21396 32242\n14712 22184\n26465 39856\n83823 100000\n17993 27109\n87581 100000\n34202 51439\n10852 16331\n26683 40183\n59911 89892\n77016 100000\n73800 100000\n83103 100000\n4467 6718\n34344 51660\n86540 100000\n30489 45928\n65754 98639\n84778 100000\n65207 97803\n11772 17742\n73101 100000\n47566 71423\n58857 88305\n74305 100000\n55649 83482\n46469 69797\n49871 74855\n89768 100000\n12116 18248\n52503 78785\n25396 38264\n69737 100000\n84398 100000\n91966 100000\n82018 100000\n93539 100000\n16718 25195\n60473 90720\n56703 85060\n20833 31412\n91846 100000\n16548 24938\n38556 57999\n67743 100000\n47600 71470\n44203 66413\n83814 100000\n61886 92819\n42778 64291\n15403 23201\n22937 34578\n51405 77167\n52472 78740\n42667 64127\n98137 100000\n96602 100000\n19657 29632\n46807 70292\n6702 10069\n98172 100000\n68486 100000\n48933 73464\n63652 95463\n52378 78599\n15575 23468\n38108 57337\n48841 73329\n76541 100000\n1950 2968\n4353 6537\n56169 84248\n69487 100000\n70852 100000\n44075 66230\n28717 43276\n64810 97211\n69391 100000\n28227 42521\n68112 100000\n882 1353\n31176 46957\n52317 78517\n43559 65467\n95640 100000\n23739 35786\n72294 100000\n17662 26609\n70118 100000\n82413 100000\n1052 1605\n14082 21225\n97291 100000\n62055 93069\n25816 38893\n66544 99841\n92634 100000\n62948 94413\n14795 22302\n92798 100000\n437 670\n21030 31701\n784 1209\n23822 35910\n14447 21785\n56329 84490\n41616 62562\n9680 14578\n2950 4459\n75071 100000\n42278 63549\n60328 90506\n77851 100000\n91672 100000\n76368 100000\n79667 100000\n934 1427\n6447 9689\n33557 50486\n81011 100000\n90263 100000\n99332 100000\n23006 34682\n27627 41612\n789 1215\n95569 100000\n76636 100000\n26806 40369\n87422 100000\n17543 26437\n35833 53899\n63378 95061\n91268 100000\n65985 98996\n99554 100000\n33871 50957\n56803 85202\n45894 68945\n80045 100000\n90657 100000\n53556 80353\n62729 94086\n45430 68241\n589 903\n12248 18447\n88175 100000\n64048 96071\n67731 100000\n34356 51676\n22490 33910\n72691 100000\n13856 20874\n85208 100000\n46337 69597\n87257 100000\n25548 38494\n300 459\n99003 100000\n36430 54801\n12666 19084\n88746 100000\n21467 32351\n64573 96849\n53052 79600\n11701 17634\n53790 80710\n62549 93817\n45771 68765\n46826 70323\n77739 100000\n58831 88269\n32265 48584\n78857 100000\n51640 77524\n90809 100000\n23877 35992\n9976 15018\n50841 76322\n80298 100000\n29167 43945\n87794 100000\n80856 100000\n80131 100000\n84408 100000\n71721 100000\n7431 11167\n94205 100000\n33350 50187\n57335 86002\n66656 100000\n44377 66668\n9544 14370\n34220 51469\n63858 95779\n78055 100000\n43152 64855\n65806 98717\n81939 100000\n40635 61109\n94933 100000\n34547 51964\n99697 100000\n26846 40430\n2854 4311\n26203 39467\n84844 100000\n34852 52422\n42081 63259\n69628 100000\n29003 43697\n59386 89114\n67994 100000\n19293 29072\n50845 76328\n61286 91926\n3019 4562\n89375 100000\n44959 67544\n99408 100000\n69700 100000\n91200 100000\n96000 100000\n46217 69425\n38059 57263\n46338 69599\n91328 100000\n13691 20624\n81922 100000\n3132 4733\n49770 74711\n94926 100000\n82963 100000\n43962 66068\n73950 100000\n95619 100000\n94333 100000\n52881 79341\n68260 100000\n61846 92758\n18943 28531\n76553 100000\n60488 90746\n49967 74994\n36298 54591\n17116 25805\n20468 30868\n91826 100000\n51718 77644\n37995 57169\n53854 80808\n46434 69744\n50768 76214\n16223 24456\n19272 29036\n44947 67527\n4933 7411\n48067 72179\n57118 85663\n50465 75762\n31747 47817\n88567 100000\n11854 17864\n97771 100000\n37923 57062\n82764 100000\n42254 63517\n37950 57104\n68582 100000\n79839 100000\n26333 39662\n48009 72091\n81092 100000\n55015 82535\n54460 81709\n22740 34285\n50943 76479\n70101 100000\n60322 90498\n47852 71859\n22891 34511\n23495 35434\n85386 100000\n95240 100000\n84837 100000\n8134 12234\n51638 77522\n30498 45941\n51749 77693\n84480 100000\n43001 64631\n97072 100000\n71451 100000\n90552 100000\n42892 64461\n88432 100000\n30148 45416\n80188 100000\n14058 21185\n60716 91082\n94946 100000\n79542 100000\n34601 52043\n47871 71883\n60695 91050\n40079 60287\n35243 53017\n18059 27210\n46555 69925\n34745 52257\n95411 100000\n46453 69774\n4292 6449\n73649 100000\n44030 66164\n61359 92028\n71572 100000\n81797 100000\n59723 89608\n25521 38457\n8294 12470\n49260 73956\n66668 100000\n26457 39844\n8971 13502\n56101 84154\n78335 100000\n19843 29918\n7152 10738\n76339 100000\n76392 100000\n14435 21765\n45568 68456\n72456 100000\n59864 89820\n66329 99526\n28877 43514\n29092 43831\n4410 6627\n98505 100000\n17491 26362\n46134 69307\n13721 20668\n36453 54836\n73578 100000\n82243 100000\n76765 100000\n96585 100000\n26350 39686\n12093 18217\n59071 88627\n38823 58392\n47877 71892\n13979 21071\n90665 100000\n215 330\n55373 83065\n69884 100000\n61140 91708\n6988 10488\n94835 100000\n24703 37232\n77352 100000\n93246 100000\n42434 63778\n1517 2317\n99201 100000\n50322 75543\n48528 72859\n87782 100000\n13070 19682\n44319 66581\n10201 15355\n35716 53721\n61601 92379\n31783 47868\n51885 77889\n60680 91029\n12401 18680\n51531 77357\n2598 3930\n76033 100000\n80494 100000\n55785 83686\n2384 3606\n40365 60710\n94964 100000\n72448 100000\n34476 51855\n29388 44270\n99458 100000\n10467 15753\n12910 19433\n27902 42028\n24254 36575\n27112 40824\n30583 46068\n16438 24772\n65329 97986\n61158 91735\n95951 100000\n70823 100000\n11822 17815\n76503 100000\n78490 100000\n89503 100000\n44507 66856\n88794 100000\n53936 80936\n31403 47291\n80391 100000\n79228 100000\n5953 8948\n74730 100000\n82462 100000\n54444 81686\n32630 49129\n66739 100000\n13425 20218\n55268 82909\n58699 88067\n38801 58360\n54295 81473\n23899 36027\n49620 74487\n17233 25985\n90271 100000\n89122 100000\n55912 83884\n87143 100000\n36541 54972\n33997 51147\n34540 51952\n52320 78520\n86176 100000\n11823 17816\n57443 86168\n31898 48041\n5574 8369\n29815 44909\n24839 37430\n43015 64648\n4543 6834\n4768 7160\n62937 94394\n77483 100000\n81697 100000\n80030 100000\n50443 75730\n49350 74089\n90145 100000\n74070 100000\n45471 68304\n53617 80442\n66337 99538\n92578 100000\n71585 100000\n4896 7358\n51329 77050\n25734 38764\n54036 81089\n18116 27295\n2304 3490\n49453 74243\n33840 50913\n10276 15471\n35768 53801\n13498 20333\n90070 100000\n89436 100000\n73963 100000\n70006 100000\n90151 100000\n58439 87679\n36425 54795\n62488 93731\n86450 100000\n12131 18268\n86311 100000\n28914 43569\n20558 31011\n20541 30981\n43543 65441\n92273 100000\n68603 100000\n86449 100000\n85590 100000\n2144 3250\n48784 73247\n8126 12221\n64717 97069\n93052 100000\n50393 75652\n14711 22182\n78301 100000\n86154 100000\n22974 34635\n40520 60939\n48903 73421\n27317 41139\n46063 69200\n6544 9836\n21688 32696\n5588 8392\n78963 100000\n31821 47924\n97482 100000\n60224 90354\n42055 63220\n99070 100000\n62998 94489\n2533 3833\n83874 100000\n56752 85128\n17170 25892\n74239 100000\n66290 99463\n58801 88224\n20167 30417\n54992 82500\n3330 5033\n32185 48462\n64251 96371\n82198 100000\n30179 45460\n88407 100000\n28432 42837\n83783 100000\n8808 13257\n76978 100000\n70834 100000\n25480 38394\n44403 66707\n61228 91835\n24827 37413\n20845 31431\n81686 100000\n85648 100000\n96501 100000\n85380 100000\n75013 100000\n58988 88504\n27699 41719\n33804 50863\n58860 88309\n79149 100000\n7634 11474\n51505 77323\n6776 10185\n76072 100000\n66643 99997\n65783 98683\n62687 94024\n95922 100000\n46716 70152\n37749 56798\n78488 100000\n91307 100000\n35925 54033\n30424 45827\n22987 34655\n244 374\n27731 41763\n61229 91837\n74050 100000\n27776 41838\n80434 100000\n7076 10627\n59631 89466\n95197 100000\n97135 100000\n92241 100000\n30081 45315\n45889 68937\n30205 45500\n28193 42469\n51601 77467\n65090 97628\n9460 14232\n55492 83246\n99914 100000\n56991 85475\n98917 100000\n6591 9902\n55173 82765\n79843 100000\n36981 55647\n83474 100000\n51758 77704\n55906 83876\n40876 61464\n75909 100000\n63264 94884\n10434 15703\n26810 40375\n64900 97350\n37244 56030\n75281 100000\n9993 15045\n80054 100000\n81082 100000\n68192 100000\n34930 52543\n15703 23666\n31924 48076\n45465 68296\n78045 100000\n68292 100000\n27647 41643\n87875 100000\n19811 29868\n46838 70339\n29877 45005\n54782 82193\n22471 33883\n13586 20469\n2350 3560\n8348 12552\n87037 100000\n92342 100000\n63747 95611\n25716 38738\n58261 87398\n54317 81502\n53015 79540\n49431 74212\n18459 27807\n26546 39974\n26174 39423\n59829 89765\n64101 96154\n82976 100000\n61208 91804\n65268 97894\n13285 20006\n22042 33225\n77936 100000\n77492 100000\n29592 44570\n55034 82560\n33849 50924\n40858 61437\n70709 100000\n48706 73128\n50206 75362\n54742 82130\n3259 4925\n26515 39931\n39462 59358\n80177 100000\n50707 76119\n33486 50383\n33200 49967\n89420 100000\n18013 27138\n19818 29878\n50626 75998\n38926 58552\n3482 5264\n83227 100000\n74285 100000\n50874 76371\n42387 63709\n43875 65939\n69153 100000\n3546 5354\n21891 32999\n57485 86232\n99085 100000\n60827 91252\n50056 75130\n40932 61546\n42877 64441\n57961 86953\n32734 49281\n49812 74771\n7130 10705\n90589 100000\n29790 44873\n14776 22274\n84703 100000\n74411 100000\n65200 97793\n32154 48415\n43457 65318\n75729 100000\n42413 63750\n11504 17334\n37457 56362\n10416 15677\n53974 80996\n70593 100000\n32892 49520\n43107 64789\n32448 48862\n55167 82755\n60187 90296\n24480 36916\n23623 35612\n2317 3510\n36641 55128\n59995 90016\n83734 100000\n29417 44309\n25778 38833\n39588 59547\n2886 4360\n19413 29263\n75225 100000\n88193 100000\n50174 75312\n62177 93260\n46390 69682\n84496 100000\n31345 47195\n84936 100000\n44590 66985\n56812 85215\n11446 17240\n87262 100000\n35979 54115\n15499 23348\n5097 7656\n97654 100000\n63495 95234\n23051 34750\n50972 76519\n96907 100000\n3955 5943\n74288 100000\n90389 100000\n67697 100000\n83581 100000\n77479 100000\n52696 79062\n94846 100000\n76573 100000\n1560 2377\n78945 100000\n72997 100000\n46089 69238\n74001 100000\n40111 60332\n76808 100000\n18236 27474\n71868 100000\n66879 100000\n48725 73158\n17350 26157\n63894 95832\n80933 100000\n44264 66502\n71006 100000\n98418 100000\n56043 84076\n41234 62003\n48927 73457\n41729 62731\n32724 49269\n95455 100000\n70587 100000\n77244 100000\n50036 75098\n30962 46639\n14957 22545\n71594 100000\n6911 10381\n33162 49908\n21434 32299\n95643 100000\n93407 100000\n14055 21180\n23740 35788\n58717 88096\n61124 91679\n22054 33243\n48875 73380\n83532 100000\n46781 70251\n91893 100000\n7540 11331\n74975 100000\n88341 100000\n22020 33192\n80746 100000\n18618 28051\n5630 8451\n40861 61441\n47440 71232\n13694 20628\n77615 100000\n28974 43655\n79693 100000\n37073 55778\n33690 50689\n4654 6991\n49360 74102\n94097 100000\n76055 100000\n31907 48055\n95130 100000\n1595 2432\n33952 51077\n60123 90201\n89861 100000\n68820 100000\n97363 100000\n74009 100000\n11768 17735\n99459 100000\n41686 62670\n15778 23784\n98209 100000\n60640 90968\n11791 17768\n13866 20890\n72715 100000\n60595 90904\n76328 100000\n55067 82610\n65071 97600\n3261 4928\n99540 100000\n63463 95184\n25017 37701\n36248 54514\n53521 80298\n23185 34946\n34710 52205\n87306 100000\n5409 8120\n40755 61286\n59 96\n16105 24272\n65186 97770\n3609 5442\n3271 4944\n79407 100000\n82550 100000\n36763 55320\n1504 2301\n41642 62602\n58879 88335\n24598 37076\n11886 17912\n48106 72242\n53571 80375\n70940 100000\n96419 100000\n97388 100000\n88931 100000\n31971 48142\n13857 20876\n9968 15009\n21309 32112\n72799 100000\n8474 12741\n79091 100000\n84124 100000\n17626 26558\n33694 50696\n12993 19561\n47673 71582\n45661 68602\n18917 28490\n38065 57274\n11620 17509\n96495 100000\n90492 100000\n41113 61822\n37882 56994\n91903 100000\n47556 71406\n43286 65062\n2683 4061\n91051 100000\n2988 4514\n66822 100000\n62329 93495\n27260 41049\n2407 3637\n58190 87298\n21129 31844\n37719 56752\n88671 100000\n26273 39573\n32276 48601\n24359 36734\n66761 100000\n81543 100000\n42791 64312\n21322 32132\n18052 27197\n76090 100000\n69735 100000\n59559 89358\n96700 100000\n99046 100000\n99979 100000\n41274 62059\n27687 41702\n4155 6236\n21003 31663\n5341 8018\n81715 100000\n11746 17708\n29821 44919\n83315 100000\n77773 100000\n89855 100000\n33355 50194\n9351 14068\n48217 72411\n40474 60871\n78066 100000\n80995 100000\n71095 100000\n28096 42318\n51076 76674\n51009 76577\n71682 100000\n9142 13750\n55731 83605\n98476 100000\n65986 98998\n53804 80734\n5663 8503\n35234 53006\n72927 100000\n55771 83666\n28554 43024\n81283 100000\n85920 100000\n46244 69463\n63560 95326\n78813 100000\n67517 100000\n65825 98747\n2648 4007\n1465 2241\n44683 67124\n78932 100000\n77575 100000\n97709 100000\n92123 100000\n43809 65846\n2370 3590\n82342 100000\n334 512\n84636 100000\n87033 100000\n80508 100000\n60988 91484\n19195 28917\n7880 11843\n91205 100000\n49656 74539\n8864 13341\n69385 100000\n97354 100000\n28034 42222\n50741 76173\n79628 100000\n56742 85116\n13853 20869\n514 786\n12341 18588\n58165 87259\n64644 96954\n47335 71078\n85980 100000\n7380 11087\n38332 57673\n87027 100000\n88687 100000\n33671 50657\n3431 5184\n53753 80657\n38870 58465\n98392 100000\n98861 100000\n68097 100000\n24198 36484\n36234 54495\n98638 100000\n10802 16257\n7714 11595\n30956 46631\n32735 49283\n2766 4185\n49368 74112\n79427 100000\n68177 100000\n76420 100000\n80530 100000\n78466 100000\n85476 100000\n3780 5692\n85881 100000\n15197 22898\n3266 4937\n2381 3603\n55936 83920\n49637 74511\n46621 70024\n63272 94896\n97878 100000\n38050 57248\n47748 71696\n10618 15974\n71047 100000\n32353 48717\n90508 100000\n72255 100000\n48805 73275\n73094 100000\n39963 60115\n91242 100000\n17452 26304\n66867 100000\n84915 100000\n67089 100000\n34866 52443\n84528 100000\n27959 42113\n78934 100000\n86664 100000\n6400 9615\n4395 6601\n73805 100000\n9791 14739\n88001 100000\n42134 63342\n69518 100000\n17712 26687\n34312 51613\n17728 26713\n18005 27127\n7288 10946\n51439 77218\n83253 100000\n45379 68167\n79606 100000\n88284 100000\n1351 2063\n98287 100000\n54336 81529\n32638 49139\n86408 100000\n58563 87860\n44892 67446\n1654 2518\n46044 69169\n90357 100000\n95147 100000\n50679 76074\n58171 87269\n63 102\n34830 52386\n8476 12744\n10959 16491\n4833 7260\n89730 100000\n92813 100000\n32062 48276\n2870 4334\n4787 7191\n39949 60092\n71165 100000\n21550 32480\n68232 100000\n64008 96005\n68678 100000\n66872 100000\n53562 80361\n30483 45919\n72817 100000\n11868 17885\n49286 73991\n63173 94751\n71237 100000\n26318 39638\n15366 23147\n75318 100000\n41534 62440\n77035 100000\n82311 100000\n76359 100000\n61943 92904\n47863 71873\n70597 100000\n11600 17481\n18141 27331\n20508 30930\n84193 100000\n35474 53357\n22688 34208\n69859 100000\n97286 100000\n66919 100000\n47285 71000\n70555 100000\n72798 100000\n57653 86490\n75386 100000\n62444 93669\n12124 18260\n45083 67731\n80454 100000\n1899 2890\n61280 91917\n52425 78673\n77038 100000\n97368 100000\n1655 2520\n80939 100000\n60142 90228\n54697 82066\n10456 15736\n50077 75162\n92180 100000\n47365 71122\n17440 26289\n17995 27113\n18136 27324\n12860 19360\n60131 90213\n27367 41216\n85124 100000\n71151 100000\n23082 34792\n66268 99430\n26662 40150\n96761 100000\n82110 100000\n72791 100000\n91687 100000\n32241 48549\n12793 19266\n11650 17554\n90573 100000\n82357 100000\n34441 51807\n61456 92165\n27452 41344\n22177 33438\n32848 49452\n77221 100000\n71242 100000\n36358 54689\n11903 17938\n79813 100000\n29093 43833\n45992 69090\n38427 57815\n32927 49571\n8591 12928\n90708 100000\n3958 5949\n51408 77171\n40481 60879\n62811 94207\n31251 47062\n24114 36357\n61294 91937\n78893 100000\n29365 44238\n82179 100000\n66543 99840\n60703 91061\n9929 14951\n75060 100000\n55861 83806\n43644 65594\n96524 100000\n96169 100000\n28763 43347\n37211 55982\n63185 94770\n98259 100000\n72073 100000\n54960 82449\n33816 50879\n82125 100000\n29416 44308\n19931 30060\n76514 100000\n45707 68674\n93331 100000\n68045 100000\n36475 54873\n36413 54776\n37010 55691\n26685 40186\n10531 15845\n57884 86835\n74646 100000\n42180 63407\n9496 14292\n8455 12714\n94158 100000\n99173 100000\n60144 90230\n46399 69694\n25807 38878\n2581 3906\n32546 49011\n7210 10826\n79316 100000\n87091 100000\n62702 94048\n9129 13730\n96937 100000\n98429 100000\n64858 97284\n1771 2696\n90993 100000\n30896 46541\n91423 100000\n21282 32070\n23617 35601\n27372 41225\n36833 55423\n44845 67369\n13716 20660\n82579 100000\n40014 60191\n96155 100000\n87758 100000\n29849 44957\n86964 100000\n98015 100000\n94323 100000\n7093 10653\n82590 100000\n3050 4607\n88509 100000\n13196 19874\n68516 100000\n82707 100000\n13708 20650\n64513 96754\n65698 98548\n70146 100000\n72406 100000\n42347 63645\n54229 81375\n31011 46703\n248 380\n12465 18778\n70442 100000\n69148 100000\n34803 52345\n93831 100000\n19229 28970\n853 1310\n6014 9040\n92390 100000\n81269 100000\n25342 38183\n90095 100000\n15883 23943\n57055 85570\n25843 38929\n51551 77390\n28832 43452\n18079 27240\n89806 100000\n82163 100000\n87246 100000\n5490 8238\n40374 60720\n55746 83627\n80479 100000\n82683 100000\n3485 5269\n17848 26896\n23396 35281\n70095 100000\n89890 100000\n48808 73280\n53435 80166\n20740 31274\n60313 90485\n5237 7859\n65821 98741\n28616 43120\n3627 5467\n62515 93770\n17515 26396\n56364 84547\n72328 100000\n93190 100000\n99715 100000\n79151 100000\n56487 84731\n15266 23002\n15824 23857\n77276 100000\n95960 100000\n23206 34980\n67271 100000\n51899 77912\n60197 90309\n17953 27051\n99575 100000\n72881 100000\n28400 42783\n92087 100000\n36307 54607\n5516 8279\n90578 100000\n91808 100000\n97571 100000\n9941 14968\n36424 54794\n70681 100000\n79448 100000\n87499 100000\n32039 48246\n92315 100000\n36869 55481\n92663 100000\n11113 16724\n96693 100000\n51357 77094\n43740 65740\n34218 51466\n49716 74627\n7848 11797\n69852 100000\n51351 77085\n88785 100000\n16170 24373\n82673 100000\n84585 100000\n35105 52806\n12282 18500\n33089 49806\n57669 86514\n28310 42650\n72617 100000\n13093 19716\n16448 24786\n71469 100000\n92375 100000\n31427 47326\n74415 100000\n75247 100000\n71370 100000\n8087 12162\n34465 51841\n2347 3557\n89277 100000\n86520 100000\n48484 72795\n29119 43871\n37381 56241\n12642 19048\n67688 100000\n78413 100000\n83089 100000\n38180 57445\n57848 86777\n23730 35774\n25728 38757\n14377 21666\n66785 100000\n70469 100000\n51739 77676\n73169 100000\n51356 77092\n85784 100000\n11311 17031\n35959 54083\n88971 100000\n8838 13302\n70742 100000\n4696 7051\n66402 99636\n71993 100000\n68716 100000\n56730 85098\n82649 100000\n16628 25059\n25562 38515\n70224 100000\n96416 100000\n7365 11063\n2221 3365\n51339 77066\n64075 96115\n4717 7085\n9617 14479\n34575 52003\n48292 72514\n92765 100000\n29376 44253\n50333 75562\n56174 84254\n29997 45185\n94790 100000\n69880 100000\n88310 100000\n41304 62102\n26327 39654\n97902 100000\n32367 48738\n5230 7851\n2515 3805\n65403 98103\n84566 100000\n25946 39081\n16566 24967\n71067 100000\n55430 83153\n17093 25769\n6804 10223\n20830 31408\n49639 74513\n20747 31285\n50935 76468\n33595 50544\n10286 15488\n29219 44022\n58143 87230\n88949 100000\n72223 100000\n70725 100000\n34466 51842\n80168 100000\n72532 100000\n45567 68455\n73256 100000\n48207 72398\n64309 96453\n35300 53098\n58484 87744\n47226 70908\n66611 99947\n9923 14943\n10954 16482\n57404 86113\n16558 24956\n82674 100000\n52003 78061\n67420 100000\n86147 100000\n62602 93897\n73998 100000\n43433 65283\n87472 100000\n87254 100000\n99367 100000\n54385 81597\n69026 100000\n81595 100000\n11238 16917\n44759 67241\n21663 32656\n21930 33057\n36344 54667\n48866 73367\n43631 65575\n75459 100000\n68610 100000\n79140 100000\n63541 95296\n37264 56060\n38967 58614\n79788 100000\n57918 86884\n99274 100000\n13761 20734\n3887 5846\n85421 100000\n97206 100000\n70994 100000\n87826 100000\n23729 35773\n13673 20597\n96161 100000\n96270 100000\n27462 41359\n79289 100000\n37091 55806\n16376 24681\n64601 96887\n15263 22997\n26119 39344\n7739 11632\n32220 48518\n64014 96016\n48213 72405\n98141 100000\n19244 28994\n38564 58011\n16310 24586\n6490 9756\n80365 100000\n18687 28155\n57619 86439\n64990 97480\n18957 28551\n51934 77960\n29788 44870\n73547 100000\n69180 100000\n24790 37360\n70863 100000\n94435 100000\n22227 33510\n79216 100000\n12359 18617\n78763 100000\n62021 93021\n45186 67882\n83832 100000\n29173 43952\n22545 33987\n35862 53939\n14832 22360\n61479 92200\n72991 100000\n30644 46155\n20669 31173\n82768 100000\n17997 27116\n41467 62340\n27824 41907\n33870 50956\n58303 87464\n54565 81864\n94884 100000\n61139 91706\n56588 84888\n44345 66619\n44364 66646\n77359 100000\n25610 38585\n18034 27169\n64728 97087\n9527 14342\n33916 51023\n20404 30766\n93013 100000\n12732 19185\n27818 41898\n31460 47373\n42328 63617\n76172 100000\n92049 100000\n63968 95943\n47751 71701\n39658 59655\n15125 22796\n16700 25168\n55838 83768\n51556 77397\n57688 86545\n72314 100000\n9891 14892\n3194 4828\n74205 100000\n70102 100000\n75301 100000\n68340 100000\n58574 87876\n89756 100000\n6339 9527\n21054 31738\n70812 100000\n55122 82693\n66192 99308\n64324 96476\n72543 100000\n37114 55843\n41921 63023\n88965 100000\n31173 46952\n26559 39989\n37772 56833\n5714 8581\n65941 98929\n8628 12985\n19724 29737\n27542 41480\n58415 87641\n79492 100000\n41075 61766\n23962 36122\n3548 5358\n30736 46297\n30190 45477\n42910 64489\n4332 6510\n45353 68132\n8221 12363\n81592 100000\n31270 47088\n4981 7479\n92885 100000\n72455 100000\n6382 9587\n33894 50990\n98073 100000\n90567 100000\n19006 28627\n61698 92531\n66267 99428\n8098 12180\n39518 59437\n59024 88555\n31205 46998\n98289 100000\n17431 26277\n94128 100000\n47991 72067\n62877 94305\n13566 20440\n93778 100000\n1857 2829\n98528 100000\n68255 100000\n38993 58652\n89990 100000\n51872 77869\n52441 78693\n40468 60863\n91783 100000\n57948 86931\n55877 83829\n77840 100000\n34587 52021\n91311 100000\n52282 78462\n76437 100000\n81140 100000\n38109 57339\n34617 52066\n77004 100000\n89229 100000\n30545 46010\n49645 74522\n16245 24487\n66419 99659\n7803 11726\n49948 74967\n58234 87360\n70754 100000\n15068 22705\n2492 3769\n39692 59706\n17254 26018\n77344 100000\n47722 71655\n93887 100000\n41838 62897\n63031 94539\n50205 75360\n30292 45630\n61901 92842\n43602 65531\n14408 21718\n17319 26112\n54983 82488\n93279 100000\n42541 63943\n5922 8899\n2170 3287\n78852 100000\n21460 32340\n17241 25999\n94641 100000\n96663 100000\n32486 48921\n93050 100000\n40123 60350\n10079 15177\n84349 100000\n4784 7186\n7876 11837\n65938 98923\n71532 100000\n95538 100000\n28285 42613\n34446 51814\n24927 37560\n67571 100000\n6206 9328\n92256 100000\n96453 100000\n51302 77012\n57 92\n6017 9046\n56486 84730\n60319 90493\n56606 84913\n92317 100000\n20971 31615\n78812 100000\n73724 100000\n36986 55655\n94261 100000\n1940 2953\n82571 100000\n36827 55415\n64206 96307\n99624 100000\n85431 100000\n16468 24817\n94809 100000\n51924 77946\n42604 64038\n18039 27175\n64019 96025\n53998 81033\n7500 11268\n145 218\n23973 36138\n53602 80423\n78178 100000\n84419 100000\n24035 36237\n24535 36994\n83397 100000\n68025 100000\n29533 44478\n56859 85287\n22239 33529\n71891 100000\n35408 53260\n20171 30421\n21168 31902\n2105 3194\n91046 100000\n19887 29990\n7800 11721\n62915 94360\n43093 64767\n63636 95440\n67381 100000\n18640 28083\n90245 100000\n10737 16161\n74448 100000\n66901 100000\n16388 24701\n41945 63063\n52735 79117\n87888 100000\n19434 29297\n95474 100000\n61831 92734\n27060 40750\n99074 100000\n23633 35628\n88129 100000\n20534 30970\n78853 100000\n82234 100000\n55735 83612\n4805 7219\n69208 100000\n64656 96971\n37799 56870\n95761 100000\n30785 46373\n96505 100000\n90461 100000\n90932 100000\n89721 100000\n73000 100000\n21178 31913\n12527 18873\n69748 100000\n6308 9479\n14116 21275\n28492 42922\n66159 99261\n51294 77001\n80303 100000\n11623 17513\n32364 48735\n1055 1609\n61108 91653\n58084 87139\n75566 100000\n13605 20495\n97688 100000\n58030 87054\n20913 31532\n22001 33161\n22836 34426\n60995 91494\n22710 34239\n55341 83022\n53955 80970\n83120 100000\n86710 100000\n53266 79912\n79812 100000\n80507 100000\n49440 74227\n61016 91525\n67748 100000\n52862 79310\n21248 32016\n91085 100000\n98660 100000\n7419 11149\n1405 2155\n59966 89972\n79394 100000\n99954 100000\n31793 47882\n40766 61303\n37271 56069\n83821 100000\n36645 55135\n67689 100000\n56451 84675\n54178 81304\n63267 94888\n45031 67652\n74774 100000\n89807 100000\n37435 56326\n3567 5382\n43714 65703\n15442 23258\n52002 78060\n60400 90611\n98590 100000\n59830 89767\n37022 55707\n31303 47135\n12107 18236\n31025 46723\n16771 25276\n24875 37484\n80527 100000\n23583 35557\n26279 39581\n75933 100000\n42776 64288\n26863 40457\n29519 44459\n89930 100000\n6209 9333\n84539 100000\n64506 96742\n99451 100000\n46817 70310\n83912 100000\n7092 10652\n20699 31216\n10427 15693\n96132 100000\n44166 66354\n26884 40489\n61786 92667\n36331 54646\n16379 24686\n82812 100000\n74470 100000\n64788 97180\n29689 44713\n51398 77156\n93199 100000\n73217 100000\n18713 28190\n98883 100000\n53912 80898\n37044 55741\n76603 100000\n87083 100000\n56664 85000\n6153 9249\n75949 100000\n92685 100000\n77617 100000\n79309 100000\n19740 29761\n67976 100000\n10660 16036\n38934 58564\n91943 100000\n8652 13023\n28622 43130\n65155 97724\n40276 60577\n89362 100000\n50324 75547\n53542 80332\n33851 50926\n41959 63084\n5252 7885\n93267 100000\n18655 28106\n17117 25807\n23293 35113\n31410 47300\n88423 100000\n41087 61782\n85669 100000\n3703 5578\n64326 96478\n6015 9042\n50254 75437\n14764 22257\n67624 100000\n56712 85072\n86663 100000\n86395 100000\n85612 100000\n71255 100000\n16220 24451\n52192 78326\n23378 35249\n34778 52307\n90691 100000\n43123 64815\n44170 66361\n28019 42199\n29859 44974\n23832 35926\n8727 13133\n91764 100000\n38802 58362\n49679 74572\n59416 89151\n64538 96795\n68107 100000\n92988 100000\n20278 30579\n42388 63711\n30788 46377\n35906 54005\n99765 100000\n25133 37872\n29231 44038\n19558 29480\n73651 100000\n1160 1774\n49226 73906\n60279 90435\n97259 100000\n24017 36207\n22463 33869\n42130 63335\n16054 24196\n22329 33667\n78171 100000\n41677 62656\n69465 100000\n28998 43691\n23702 35733\n61077 91613\n26574 40010\n1946 2963\n64295 96435\n6200 9318\n91467 100000\n74082 100000\n64878 97317\n85358 100000\n82162 100000\n17541 26434\n75106 100000\n59263 88916\n69089 100000\n77793 100000\n16565 24966\n10902 16406\n81989 100000\n4174 6266\n16846 25393\n44135 66312\n29574 44544\n56640 84966\n27562 41512\n97435 100000\n60287 90445\n65624 98438\n37830 56916\n29432 44330\n24534 36993\n50748 76181\n56037 84069\n59699 89574\n8020 12060\n98762 100000\n56672 85010\n58294 87448\n63240 94847\n31388 47266\n2865 4326\n66356 99564\n17462 26317\n18071 27229\n88729 100000\n14703 22169\n7375 11080\n26030 39204\n37240 56024\n35340 53157\n20769 31315\n18589 28007\n68941 100000\n8796 13239\n42420 63760\n62759 94131\n35945 54061\n6578 9883\n72092 100000\n1753 2667\n83972 100000\n84932 100000\n57959 86949\n45939 69012\n53512 80286\n40777 61320\n66013 99035\n43930 66023\n21151 31878\n37153 55904\n56613 84922\n33202 49970\n4400 6609\n35268 53053\n32407 48801\n69889 100000\n81462 100000\n12542 18893\n81584 100000\n28757 43339\n40656 61143\n8952 13472\n61579 92347\n86142 100000\n93751 100000\n93330 100000\n75155 100000\n51748 77691\n51391 77144\n78345 100000\n91435 100000\n72303 100000\n80004 100000\n23254 35050\n97572 100000\n78545 100000\n27412 41286\n66837 100000\n22671 34183\n54254 81415\n12009 18095\n52391 78623\n24934 37571\n89834 100000\n79307 100000\n21670 32665\n99504 100000\n10816 16279\n73078 100000\n27799 41873\n63719 95564\n47742 71686\n99151 100000\n44541 66910\n43879 65946\n60771 91170\n84772 100000\n75101 100000\n40386 60738\n85308 100000\n8420 12663\n29888 45022\n54102 81186\n75850 100000\n44125 66300\n10329 15548\n17805 26827\n62214 93322\n18336 27626\n54497 81765\n33827 50895\n1040 1586\n39662 59662\n5241 7866\n96504 100000\n8386 12611\n59282 88946\n92340 100000\n61203 91797\n58170 87268\n84750 100000\n13104 19735\n95347 100000\n50263 75451\n17175 25899\n9697 14603\n18158 27356\n46717 70154\n27062 40753\n10348 15575\n18741 28229\n10042 15121\n55107 82669\n44024 66157\n32626 49124\n48753 73202\n76369 100000\n13745 20708\n84423 100000\n7830 11767\n33556 50484\n3091 4671\n79685 100000\n61168 91751\n45921 68986\n44762 67245\n37378 56236\n79013 100000\n58844 88288\n37365 56216\n29534 44480\n15661 23603\n63862 95784\n9821 14781\n40961 61592\n89349 100000\n40583 61034\n58907 88378\n47289 71005\n43469 65335\n28331 42683\n68846 100000\n77828 100000\n94680 100000\n60787 91192\n4082 6130\n21078 31772\n97340 100000\n61621 92408\n33056 49757\n94875 100000\n21235 31998\n86320 100000\n51878 77878\n76501 100000\n94103 100000\n70571 100000\n85333 100000\n26534 39957\n26682 40181\n48203 72391\n97343 100000\n72907 100000\n72431 100000\n50756 76196\n71808 100000\n2500 3781\n71277 100000\n5725 8598\n48640 73022\n23724 35766\n60653 90988\n78408 100000\n52437 78688\n64063 96095\n22410 33789\n96130 100000\n35293 53088\n80394 100000\n82239 100000\n39396 59260\n25613 38589\n81863 100000\n48047 72147\n71935 100000\n54625 81955\n65113 97664\n9707 14618\n20720 31248\n50127 75243\n8144 12249\n51760 77707\n11567 17430\n89947 100000\n12755 19216\n49566 74406\n86319 100000\n57496 86248\n62122 93172\n29150 43917\n29686 44709\n66842 100000\n83565 100000\n16721 25199\n80083 100000\n24727 37268\n32916 49554\n69213 100000\n86812 100000\n33543 50465\n52891 79354\n88831 100000\n73224 100000\n26176 39425\n41753 62765\n83740 100000\n97573 100000\n82726 100000\n6616 9942\n25916 39038\n27008 40671\n77749 100000\n54513 81786\n60341 90525\n18482 27845\n70022 100000\n96708 100000\n4841 7272\n79664 100000\n59789 89707\n76617 100000\n25771 38821\n2389 3613\n80942 100000\n96897 100000\n81706 100000\n10188 15336\n16037 24170\n87498 100000\n82366 100000\n59586 89399\n66738 100000\n17394 26220\n59720 89603\n2814 4255\n2869 4333\n98409 100000\n79844 100000\n70775 100000\n659 1009\n7443 11185\n82246 100000\n96177 100000\n44061 66207\n57861 86796\n91052 100000\n45840 68865\n86402 100000\n89654 100000\n59553 89349\n24106 36345\n65047 97565\n12000 18081\n15035 22657\n22907 34536\n54124 81219\n57052 85564\n74410 100000\n72441 100000\n61762 92631\n49284 73987\n50468 75765\n71996 100000\n66185 99299\n12586 18959\n35735 53752\n15426 23232\n47419 71202\n69596 100000\n7296 10958\n7383 11092\n76832 100000\n37129 55867\n15212 22919\n59231 88870\n81132 100000\n55823 83742\n73701 100000\n41842 62904\n46157 69337\n31958 48125\n30630 46133\n43137 64833\n55226 82847\n8293 12469\n46510 69857\n38651 58144\n80789 100000\n22496 33919\n95173 100000\n62807 94202\n74459 100000\n88569 100000\n93544 100000\n18556 27959\n24322 36678\n60198 90310\n72334 100000\n58109 87175\n5742 8628\n81222 100000\n97724 100000\n50793 76254\n76751 100000\n78536 100000\n45239 67959\n186 285\n66665 100000\n75473 100000\n68047 100000\n94477 100000\n94984 100000\n7915 11898\n38447 57845\n59901 89879\n26291 39598\n48786 73250\n74652 100000\n87129 100000\n64114 96175\n91097 100000\n2650 4011\n55547 83329\n81372 100000\n75991 100000\n35588 53530\n40558 60998\n93462 100000\n19324 29124\n60528 90801\n51058 76650\n63774 95655\n30882 46521\n35261 53042\n53285 79941\n6474 9732\n30810 46412\n56414 84620\n83970 100000\n26936 40563\n27235 41012\n36051 54220\n94370 100000\n30873 46506\n40182 60433\n46795 70273\n14826 22349\n12535 18884\n79912 100000\n96561 100000\n9075 13654\n2524 3819\n32895 49524\n63192 94779\n15744 23730\n68179 100000\n12232 18423\n71560 100000\n87431 100000\n74457 100000\n92945 100000\n40754 61285\n50137 75259\n4767 7158\n61727 92576\n83648 100000\n50503 75815\n63394 95086\n39881 59992\n79450 100000\n46331 69587\n8556 12871\n26307 39621\n29014 43715\n80160 100000\n2229 3379\n56240 84351\n24069 36289\n67733 100000\n95378 100000\n11225 16895\n66873 100000\n44709 67162\n48524 72853\n54249 81406\n85878 100000\n3291 4972\n19163 28866\n94143 100000\n414 638\n5110 7674\n2817 4260\n6388 9598\n83351 100000\n24599 37078\n5249 7879\n20467 30866\n24302 36648\n39453 59344\n66690 100000\n62591 93881\n51198 76865\n12815 19299\n1392 2132\n96839 100000\n91472 100000\n5085 7636\n46751 70205\n74169 100000\n92104 100000\n58950 88445\n63930 95884\n42124 63327\n9431 14190\n98928 100000\n71789 100000\n16554 24949\n4496 6762\n32788 49362\n95838 100000\n68731 100000\n43838 65886\n59152 88748\n33482 50377\n84720 100000\n30564 46037\n17278 26053\n17601 26523\n25476 38387\n32591 49073\n44473 66809\n55538 83315\n63040 94554\n48672 73071\n26955 40591\n93285 100000\n99773 100000\n11320 17045\n72404 100000\n1156 1766\n92904 100000\n24358 36733\n15413 23214\n1678 2554\n23888 36008\n62343 93514\n84808 100000\n64931 97394\n52569 78883\n27262 41052\n99089 100000\n70015 100000\n87132 100000\n64124 96187\n86354 100000\n34991 52634\n71228 100000\n61386 92064\n80638 100000\n49011 73578\n5875 8827\n65681 98522\n19544 29455\n77350 100000\n55902 83869\n80611 100000\n28229 42524\n1872 2854\n97646 100000\n6463 9713\n59989 90007\n83258 100000\n22221 33502\n65634 98451\n92570 100000\n15118 22785\n56002 84016\n27365 41214\n37630 56615\n60207 90324\n21737 32770\n13561 20432\n29928 45081\n99356 100000\n87115 100000\n62878 94306\n47713 71640\n90316 100000\n79510 100000\n51259 76949\n12068 18183\n92824 100000\n71875 100000\n20572 31029\n23248 35040\n84151 100000\n50505 75817\n13273 19990\n98834 100000\n93762 100000\n88688 100000\n91858 100000\n62067 93088\n91637 100000\n7005 10517\n83405 100000\n12693 19123\n29783 44863\n14803 22314\n7614 11444\n53381 80085\n68547 100000\n82473 100000\n45908 68967\n16268 24522\n73396 100000\n83094 100000\n41367 62190\n99963 100000\n95558 100000\n24163 36426\n49901 74898\n55002 82515\n10235 15406\n20229 30507\n70070 100000\n80046 100000\n32251 48565\n946 1446\n79937 100000\n10978 16518\n51567 77413\n25590 38556\n87455 100000\n11575 17443\n74530 100000\n42492 63861\n62007 93000\n47327 71066\n68460 100000\n25001 37676\n77952 100000\n99739 100000\n84054 100000\n75362 100000\n58805 88229\n40450 60836\n50132 75251\n80780 100000\n67909 100000\n66389 99614\n70717 100000\n10580 15915\n21907 33024\n78684 100000\n7811 11738\n74085 100000\n49248 73938\n99362 100000\n42215 63463\n39488 59397\n93110 100000\n25840 38926\n34961 52590\n25630 38612\n40526 60950\n85020 100000\n39053 58743\n91186 100000\n65045 97562\n44953 67537\n82084 100000\n7307 10974\n73292 100000\n38358 57709\n85732 100000\n81419 100000\n68462 100000\n94175 100000\n18758 28259\n20912 31530\n55017 82537\n61867 92789\n48937 73470\n64908 97362\n40784 61329\n32854 49461\n49800 74754\n57726 86599\n95545 100000\n58422 87653\n39412 59282\n1367 2091\n84865 100000\n82408 100000\n75829 100000\n59108 88683\n46887 70412\n97921 100000\n39406 59274\n31915 48064\n69413 100000\n43019 64655\n95555 100000\n16404 24726\n33250 50044\n10295 15500\n39220 58994\n90824 100000\n31518 47467\n48923 73452\n41051 61730\n21220 31978\n84107 100000\n39260 59051\n74083 100000\n39056 58748\n60210 90329\n36409 54771\n57107 85647\n81297 100000\n26831 40407\n93949 100000\n14217 21428\n65184 97766\n30939 46603\n46327 69582\n21622 32594\n88513 100000\n73703 100000\n41040 61714\n88523 100000\n11611 17496\n16398 24716\n30005 45199\n92282 100000\n20805 31371\n26590 40032\n80250 100000\n54905 82367\n12879 19388\n36111 54308\n20604 31075\n90470 100000\n4598 6911\n74614 100000\n81470 100000\n13444 20247\n5830 8760\n20248 30536\n64629 96932\n34963 52592\n14331 21596\n10807 16264\n57600 86408\n2917 4410\n3773 5681\n47749 71697\n35642 53615\n95756 100000\n94832 100000\n80779 100000\n55694 83551\n80468 100000\n9812 14768\n96704 100000\n69490 100000\n1910 2905\n11270 16970\n92896 100000\n97566 100000\n43730 65725\n97440 100000\n90607 100000\n43221 64960\n8732 13140\n1674 2547\n27316 41138\n62761 94133\n63327 94981\n34636 52091\n2616 3957\n32581 49060\n52221 78368\n25784 38843\n6269 9424\n37118 55851\n74890 100000\n72540 100000\n19218 28954\n22473 33885\n77757 100000\n25658 38648\n20801 31364\n2750 4161\n73360 100000\n30206 45501\n65 105\n68035 100000\n26680 40178\n12892 19409\n20569 31025\n59094 88659\n59113 88689\n39601 59567\n87022 100000\n22308 33636\n32027 48224\n82926 100000\n16658 25104\n17976 27085\n10044 15125\n16639 25078\n49415 74187\n39316 59135\n12576 18942\n13636 20541\n76678 100000\n21583 32535\n25387 38249\n83586 100000\n22348 33695\n84042 100000\n26463 39853\n23746 35796\n66427 99671\n26579 40017\n65025 97533\n50759 76200\n2060 3131\n45999 69100\n14827 22351\n97741 100000\n8820 13277\n66286 99456\n57467 86205\n26537 39961\n99705 100000\n54795 82212\n67596 100000\n71898 100000\n37766 56825\n10023 15091\n43827 65871\n1921 2921\n60056 90106\n80708 100000\n9632 14501\n16413 24739\n83625 100000\n21364 32196\n97441 100000\n13471 20293\n73269 100000\n84086 100000\n76905 100000\n8316 12504\n88628 100000\n68934 100000\n11584 17456\n96508 100000\n48060 72168\n65020 97524\n2623 3969\n97795 100000\n84766 100000\n95939 100000\n90288 100000\n38760 58303\n92731 100000\n38275 57590\n71065 100000\n68339 100000\n13668 20591\n67683 100000\n54485 81745\n70107 100000\n66217 99349\n30250 45563\n76838 100000\n56075 84117\n46925 70467\n23811 35891\n12658 19073\n93196 100000\n44592 66988\n79932 100000\n1407 2158\n25345 38187\n69856 100000\n24963 37616\n51611 77482\n76067 100000\n53228 79861\n30083 45318\n31520 47470\n19754 29784\n1996 3035\n70796 100000\n90120 100000\n21794 32856\n98370 100000\n20172 30422\n58891 88352\n34585 52017\n55205 82815\n93995 100000\n89225 100000\n65290 97925\n6645 9986\n9987 15036\n45907 68965\n95866 100000\n8722 13127\n96964 100000\n82190 100000\n34105 51305\n95843 100000\n23775 35837\n55820 83738\n16416 24743\n83441 100000\n60480 90733\n95608 100000\n91741 100000\n69313 100000\n60985 91478\n37615 56593\n74321 100000\n27601 41571\n87028 100000\n62540 93804\n78704 100000\n91777 100000\n73768 100000\n60356 90548\n79712 100000\n28860 43493\n65693 98540\n73613 100000\n5296 7950\n75194 100000\n54914 82380\n3216 4860\n96228 100000\n63647 95455\n44216 66435\n28849 43478\n33688 50686\n14365 21646\n61191 91779\n40702 61210\n17783 26797\n84583 100000\n20598 31066\n91909 100000\n16011 24128\n71327 100000\n38774 58325\n12973 19532\n82292 100000\n37227 56006\n58389 87596\n52487 78763\n80655 100000\n7813 11742\n60922 91388\n87403 100000\n36199 54443\n31163 46938\n84999 100000\n35111 52813\n22771 34330\n18658 28110\n86526 100000\n40244 60526\n2584 3909\n79293 100000\n73606 100000\n89062 100000\n92772 100000\n55851 83790\n44663 67094\n88545 100000\n41161 61891\n56615 84925\n79836 100000\n41325 62133\n51904 77918\n78312 100000\n86255 100000\n85793 100000\n58913 88388\n80595 100000\n88347 100000\n31727 47788\n56964 85442\n22645 34144\n78236 100000\n47287 71003\n71138 100000\n5082 7633\n33951 51075\n4034 6059\n47251 70950\n85666 100000\n57508 86266\n47520 71350\n59347 89054\n96189 100000\n51002 76565\n48976 73524\n16568 24969\n24842 37435\n75931 100000\n66221 99355\n92698 100000\n73770 100000\n50770 76218\n74269 100000\n7700 11571\n53164 79767\n99014 100000\n77152 100000\n28783 43377\n7041 10567\n16770 25275\n55559 83348\n83489 100000\n41625 62575\n90079 100000\n82109 100000\n54462 81711\n27446 41336\n49727 74643\n18281 27541\n72553 100000\n48605 72969\n58848 88294\n86609 100000\n63733 95587\n13184 19854\n57091 85623\n9057 13630\n90416 100000\n8906 13402\n82483 100000\n76662 100000\n44835 67354\n36031 54192\n90041 100000\n17594 26513\n14104 21261\n88015 100000\n63680 95507\n99082 100000\n6002 9020\n78748 100000\n75245 100000\n99397 100000\n21243 32009\n6034 9074\n44538 66905\n20952 31586\n69419 100000\n60767 91162\n30103 45348\n37315 56134\n63790 95682\n48488 72802\n69756 100000\n91969 100000\n51465 77256\n94571 100000\n30248 45559\n12934 19468\n96915 100000\n4453 6696\n56146 84219\n65946 98935\n94721 100000\n80866 100000\n92986 100000\n77912 100000\n93147 100000\n78114 100000\n58479 87735\n62124 93175\n39724 59760\n43558 65466\n49156 73797\n40377 60725\n90401 100000\n40760 61294\n84061 100000\n13912 20962\n84629 100000\n70703 100000\n4486 6747\n46568 69946\n57481 86226\n79791 100000\n40462 60854\n39836 59925\n74245 100000\n63295 94930\n72942 100000\n63294 94929\n53357 80049\n98155 100000\n58417 87644\n55283 82934\n6884 10340\n59304 88982\n31464 47380\n58644 87981\n82273 100000\n94650 100000\n96568 100000\n75667 100000\n95519 100000\n4465 6714\n20529 30962\n87989 100000\n92841 100000\n44881 67429\n12743 19200\n75378 100000\n36710 55236\n50153 75282\n80493 100000\n10158 15295\n20653 31145\n23940 36087\n26213 39481\n3477 5254\n80089 100000\n98858 100000\n71749 100000\n10164 15302\n32037 48242\n46032 69149\n3692 5562\n3215 4859\n70551 100000\n80136 100000\n95953 100000\n48689 73099\n26646 40123\n49150 73789\n63678 95504\n94095 100000\n7759 11660\n88527 100000\n26110 39330\n26751 40292\n4311 6481\n39367 59216\n13827 20830\n49448 74237\n40805 61360\n36786 55353\n58357 87547\n25431 38319\n12555 18912\n71485 100000\n13220 19909\n66216 99348\n62927 94378\n19018 28645\n74559 100000\n37193 55957\n67374 100000\n39063 58759\n76933 100000\n87475 100000\n24308 36657\n51113 76731\n81157 100000\n43280 65052\n88884 100000\n38645 58136\n40127 60358\n53850 80801\n54770 82177\n55759 83648\n99061 100000\n44144 66326\n34746 52258\n96406 100000\n5735 8614\n76947 100000\n20895 31503\n27186 40939\n45160 67843\n30186 45470\n39094 58804\n87653 100000\n69409 100000\n75169 100000\n93448 100000\n98017 100000\n59949 89945\n38621 58102\n18616 28048\n29720 44763\n21613 32580\n81112 100000\n48546 72884\n44231 66455\n48712 73136\n28640 43154\n1200 1831\n1566 2387\n21297 32095\n2709 4098\n27711 41736\n52348 78560\n23563 35530\n36369 54706\n85843 100000\n20861 31456\n89918 100000\n36411 54773\n63849 95767\n35188 52938\n79269 100000\n2505 3788\n39290 59096\n3870 5819\n63726 95573\n5033 7559\n26818 40389\n49199 73864\n54292 81468\n68495 100000\n41068 61756\n21521 32433\n17149 25861\n75376 100000\n47753 71705\n69304 100000\n15586 23486\n23621 35608\n1492 2286\n62002 92992\n72547 100000\n20563 31019\n65222 97823\n67741 100000\n54304 81485\n4783 7185\n92862 100000\n83246 100000\n22780 34344\n73117 100000\n79248 100000\n92064 100000\n44337 66608\n54325 81514\n68979 100000\n19551 29468\n60336 90516\n51827 77805\n9581 14429\n22189 33456\n59449 89197\n71529 100000\n27968 42125\n86073 100000\n30228 45532\n86149 100000\n5255 7889\n46960 70521\n43420 65264\n11088 16685\n61865 92786\n66532 99825\n21027 31697\n39843 59934\n68210 100000\n19647 29618\n62861 94280\n94392 100000\n41347 62163\n66130 99216\n16927 25518\n36532 54959\n55058 82596\n95406 100000\n19853 29932\n28249 42555\n1384 2120\n57717 86585\n81829 100000\n88691 100000\n40661 61152\n46435 69746\n50423 75700\n43582 65500\n59690 89558\n43666 65627\n72096 100000\n64197 96292\n67348 100000\n83215 100000\n47016 70601\n1421 2178\n22259 33561\n37453 56356\n19435 29299\n49761 74697\n30453 45872\n99454 100000\n71763 100000\n31721 47780\n41998 63143\n75959 100000\n97450 100000\n4929 7406\n24651 37154\n163 246\n96075 100000\n68443 100000\n32410 48806\n82678 100000\n74248 100000\n28114 42347\n91510 100000\n59870 89828\n81549 100000\n5946 8938\n8758 13179\n92586 100000\n60621 90941\n56459 84689\n20045 30232\n56069 84111\n28004 42174\n63805 95704\n10548 15868\n22224 33506\n51347 77079\n61714 92555\n77202 100000\n98650 100000\n23932 36075\n8959 13483\n45278 68016\n51070 76666\n78201 100000\n55753 83637\n64701 97043\n1969 2996\n70816 100000\n81657 100000\n97496 100000\n19353 29167\n37294 56102\n83208 100000\n142 214\n16967 25579\n11052 16631\n96939 100000\n66285 99455\n30036 45243\n41195 61941\n73205 100000\n50798 76261\n28094 42315\n11527 17369\n90632 100000\n94746 100000\n15225 22940\n58103 87167\n18605 28031\n37321 56145\n89147 100000\n36158 54381\n46664 70086\n3286 4966\n47116 70757\n13052 19654\n4308 6476\n7646 11491\n89581 100000\n55573 83369\n28584 43070\n46375 69658\n80374 100000\n5677 8524\n56227 84335\n95925 100000\n44508 66857\n69964 100000\n67353 100000\n13529 20382\n79071 100000\n71026 100000\n41371 62195\n97869 100000\n77550 100000\n79972 100000\n77954 100000\n77165 100000\n28874 43511\n28515 42958\n82631 100000\n41447 62308\n46442 69757\n16901 25480\n49290 73998\n27287 41091\n32650 49156\n38010 57192\n53372 80071\n6669 10023\n16302 24575\n22707 34236\n71091 100000\n87109 100000\n86015 100000\n29792 44876\n1426 2185\n5603 8411\n46408 69706\n69531 100000\n23059 34762\n66448 99700\n51928 77953\n78645 100000\n40141 60376\n97846 100000\n77553 100000\n87996 100000\n12813 19296\n32802 49382\n6389 9600\n80074 100000\n3226 4877\n46496 69838\n80192 100000\n76614 100000\n27813 41892\n51199 76866\n27691 41709\n49916 74919\n19060 28707\n82493 100000\n17649 26589\n21767 32817\n30145 45412\n26517 39935\n8233 12380\n55665 83504\n40300 60613\n83862 100000\n12773 19239\n60115 90187\n94726 100000\n2220 3364\n11695 17625\n30056 45278\n81545 100000\n13124 19764\n1074 1641\n79066 100000\n85839 100000\n26194 39453\n93118 100000\n7718 11602\n29780 44859\n73216 100000\n84677 100000\n65992 99005\n70565 100000\n1010 1539\n66715 100000\n66230 99368\n13516 20362\n29820 44917\n55849 83787\n28898 43546\n98529 100000\n74394 100000\n48874 73378\n33041 49736\n12669 19088\n43859 65917\n54501 81770\n70131 100000\n80180 100000\n98991 100000\n27580 41538\n77301 100000\n93006 100000\n65342 98008\n76496 100000\n34500 51892\n53200 79818\n70282 100000\n35619 53579\n22708 34237\n93428 100000\n37554 56503\n75947 100000\n21214 31968\n31713 47770\n81699 100000\n42753 64256\n6496 9764\n14061 21190\n58480 87736\n31874 48005\n63876 95805\n6459 9707\n44452 66778\n12699 19132\n54406 81632\n27891 42011\n50846 76329\n5554 8339\n55744 83623\n60102 90170\n44985 67587\n2690 4070\n20426 30802\n26735 40263\n6764 10166\n58726 88110\n38813 58378\n8737 13147\n90280 100000\n8943 13457\n84534 100000\n30757 46329\n84416 100000\n14539 21918\n29319 44172\n22756 34306\n4528 6812\n70027 100000\n60189 90298\n68963 100000\n25801 38870\n71468 100000\n96503 100000\n93472 100000\n61793 92679\n56995 85482\n68020 100000\n86057 100000\n74710 100000\n12516 18856\n38996 58657\n33663 50645\n37032 55723\n16145 24334\n10441 15714\n75683 100000\n73798 100000\n94209 100000\n37004 55682\n32766 49330\n93493 100000\n14111 21269\n63123 94677\n54056 81118\n1773 2699\n22841 34434\n98115 100000\n30588 46075\n14036 21155\n96407 100000\n57580 86382\n65979 98984\n30388 45774\n57018 85516\n23071 34777\n21036 31708\n25705 38722\n23346 35199\n68965 100000\n58927 88410\n49964 74990\n42247 63509\n20498 30916\n38478 57889\n81169 100000\n95235 100000\n9568 14410\n59187 88803\n19080 28740\n93777 100000\n17490 26360\n80498 100000\n13202 19881\n87244 100000\n54968 82461\n32856 49464\n48290 72511\n57136 85688\n44884 67434\n50529 75852\n43774 65792\n39596 59561\n39631 59615\n27225 40996\n38391 57762\n85918 100000\n24243 36556\n42713 64196\n16675 25128\n18222 27452\n23485 35418\n2549 3860\n62511 93763\n52810 79233\n68404 100000\n31207 47001\n23723 35765\n93377 100000\n42629 64073\n96519 100000\n88519 100000\n10665 16046\n20781 31333\n49227 73908\n87891 100000\n99741 100000\n45798 68806\n93668 100000\n14613 22027\n51883 77886\n33044 49741\n72818 100000\n99348 100000\n71308 100000\n7754 11654\n24472 36904\n85102 100000\n83449 100000\n23602 35582\n22317 33647\n18486 27851\n91241 100000\n60747 91131\n34525 51932\n8249 12406\n64727 97085\n70491 100000\n94453 100000\n84326 100000\n66677 100000\n20612 31086\n12386 18659\n2112 3204\n32057 48270\n50037 75100\n29149 43915\n59015 88542\n67321 100000\n53391 80101\n98215 100000\n71733 100000\n26510 39925\n12689 19116\n52896 79362\n80299 100000\n71936 100000\n92942 100000\n79696 100000\n70774 100000\n4613 6932\n70225 100000\n40362 60706\n49975 75008\n79383 100000\n35074 52759\n34024 51188\n53058 79610\n86986 100000\n1417 2172\n97866 100000\n13520 20367\n98071 100000\n91203 100000\n64465 96677\n26543 39969\n85979 100000\n76560 100000\n42888 64457\n29205 44003\n79807 100000\n85530 100000\n14815 22330\n75955 100000\n73746 100000\n49323 74048\n95379 100000\n51332 77055\n29610 44595\n8345 12547\n64481 96703\n90156 100000\n14610 22023\n97753 100000\n44944 67522\n45885 68930\n33978 51116\n26471 39864\n45597 68501\n41633 62587\n9429 14187\n91167 100000\n65909 98878\n81476 100000\n11516 17352\n80535 100000\n73340 100000\n77413 100000\n84969 100000\n26607 40057\n427 656\n45159 67841\n43793 65822\n14491 21845\n21678 32678\n52090 78179\n67515 100000\n33416 50285\n91074 100000\n33323 50149\n50964 76508\n22052 33240\n72386 100000\n83078 100000\n87895 100000\n49714 74624\n96076 100000\n35834 53901\n48015 72102\n2613 3953\n89702 100000\n33035 49726\n96442 100000\n2626 3973\n36134 54345\n70440 100000\n36596 55053\n49986 75024\n86604 100000\n88418 100000\n24345 36714\n63742 95602\n67791 100000\n64934 97398\n91044 100000\n86278 100000\n88864 100000\n72564 100000\n82200 100000\n85718 100000\n10432 15700\n55442 83169\n16162 24359\n62185 93276\n30340 45699\n52512 78798\n45574 68466\n6846 10283\n75833 100000\n7389 11103\n36682 55195\n39805 59884\n66318 99509\n79800 100000\n2855 4312\n37668 56671\n8905 13400\n80036 100000\n18705 28178\n5324 7992\n25693 38702\n35200 52959\n7452 11198\n28482 42909\n64144 96214\n11860 17873\n30324 45675\n91013 100000\n97833 100000\n11921 17965\n49766 74705\n43733 65730\n75536 100000\n40783 61328\n47409 71187\n24448 36866\n17131 25832\n36272 54550\n20333 30654\n21116 31827\n13371 20133\n72266 100000\n99306 100000\n52202 78339\n77574 100000\n5517 8281\n23488 35423\n24490 36931\n47570 71428\n61948 92911\n64551 96815\n23614 35598\n19835 29907\n57882 86832\n81652 100000\n43947 66047\n11518 17354\n38402 57779\n90028 100000\n90786 100000\n79739 100000\n96946 100000\n3426 5177\n59218 88852\n47497 71313\n12540 18890\n74527 100000\n98968 100000\n92097 100000\n55957 83949\n81711 100000\n67675 100000\n58436 87675\n94810 100000\n52751 79146\n6597 9913\n87063 100000\n35916 54019\n71092 100000\n70049 100000\n22474 33887\n12908 19431\n22263 33568\n16557 24954\n89143 100000\n97979 100000\n9723 14643\n52702 79070\n21838 32918\n67990 100000\n62586 93874\n77822 100000\n19603 29553\n94081 100000\n23136 34870\n89382 100000\n54690 82053\n7568 11374\n70423 100000\n77938 100000\n81004 100000\n87507 100000\n6063 9118\n43893 65967\n4358 6545\n68067 100000\n61872 92796\n18186 27398\n17221 25968\n50236 75411\n21125 31839\n50146 75271\n83270 100000\n52489 78765\n73735 100000\n29841 44947\n41459 62327\n97969 100000\n17829 26867\n88525 100000\n61385 92063\n50030 75089\n85069 100000\n83563 100000\n56826 85234\n86070 100000\n34116 51319\n33258 50057\n8969 13498\n48459 72761\n89377 100000\n81974 100000\n8190 12317\n79878 100000\n8146 12251\n92027 100000\n30312 45661\n58156 87247\n13039 19633\n21476 32363\n70388 100000\n46911 70445\n75606 100000\n74468 100000\n59770 89677\n55355 83039\n54757 82157\n69708 100000\n29588 44564\n23725 35767\n76563 100000\n21799 32864\n74000 100000\n81421 100000\n21444 32315\n16210 24437\n52530 78824\n11418 17207\n66571 99882\n51205 76873\n17785 26799\n66037 99069\n77073 100000\n38405 57782\n82251 100000\n24120 36367\n11526 17367\n68441 100000\n37540 56482\n55300 82962\n67490 100000\n35928 54037\n13868 20894\n98832 100000\n42826 64361\n66325 99519\n27308 41124\n50338 75570\n1990 3026\n84836 100000\n40987 61632\n66805 100000\n35251 53029\n88855 100000\n23757 35812\n13437 20235\n43005 64635\n47890 71908\n47444 71240\n57300 85939\n9342 14054\n69440 100000\n28353 42719\n96767 100000\n11295 17008\n62258 93391\n33129 49861\n63321 94972\n29886 45019\n86199 100000\n54404 81629\n64571 96846\n59084 88647\n34695 52185\n65348 98015\n30512 45960\n64880 97320\n18764 28267\n59508 89283\n39781 59846\n97453 100000\n5846 8784\n82557 100000\n44291 66541\n92392 100000\n90788 100000\n26303 39616\n24295 36638\n41450 62314\n54070 81139\n60636 90964\n76844 100000\n96002 100000\n22901 34525\n54661 82011\n65092 97632\n78034 100000\n67258 100000\n86162 100000\n48623 72997\n14667 22111\n77249 100000\n92321 100000\n24014 36203\n95217 100000\n51902 77916\n25082 37801\n70341 100000\n84575 100000\n33007 49683\n8506 12793\n49175 73825\n74627 100000\n94983 100000\n8287 12458\n18032 27166\n42905 64481\n68065 100000\n42856 64409\n92639 100000\n78859 100000\n53194 79810\n14674 22120\n35798 53845\n47303 71027\n12317 18551\n20817 31389\n16442 24778\n87116 100000\n31391 47271\n79976 100000\n14173 21361\n51081 76681\n42186 63416\n66874 100000\n51824 77801\n95391 100000\n63049 94566\n56103 84157\n93270 100000\n46007 69110\n79320 100000\n48054 72159\n93761 100000\n23083 34793\n69814 100000\n82525 100000\n22943 34587\n9384 14117\n48825 73304\n32162 48428\n79620 100000\n4182 6278\n68325 100000\n85209 100000\n20667 31169\n49298 74011\n28429 42833\n60329 90507\n86740 100000\n5388 8093\n10524 15833\n21371 32207\n29872 44996\n5546 8327\n71170 100000\n66076 99131\n86225 100000\n30763 46340\n74669 100000\n57362 86045\n5008 7519\n40457 60846\n17345 26150\n17934 27027\n94890 100000\n53740 80634\n67925 100000\n90399 100000\n40309 60624\n91194 100000\n1658 2525\n66353 99561\n43283 65057\n59757 89659\n1781 2710\n95961 100000\n5721 8591\n20163 30410\n49322 74047\n83083 100000\n40264 60559\n19816 29874\n80775 100000\n55581 83381\n47259 70962\n52331 78535\n33082 49794\n44481 66819\n94719 100000\n37428 56316\n29987 45169\n85517 100000\n15295 23046\n12851 19347\n37132 55871\n79621 100000\n80205 100000\n43734 65731\n15615 23529\n9086 13669\n90686 100000\n50011 75061\n85725 100000\n18730 28214\n71755 100000\n68906 100000\n48102 72235\n60095 90161\n73716 100000\n41340 62153\n44353 66631\n3658 5512\n94844 100000\n18510 27888\n88603 100000\n51323 77041\n723 1113\n91975 100000\n36498 54907\n12737 19191\n35113 52816\n29274 44107\n4584 6891\n49168 73814\n51914 77932\n77969 100000\n4577 6882\n148 224\n60984 91477\n8436 12685\n12084 18204\n60495 90759\n51523 77344\n82847 100000\n84621 100000\n97495 100000\n67996 100000\n10363 15598\n41783 62813\n64454 96660\n37479 56391\n67576 100000\n8899 13389\n43632 65576\n49816 74776\n51705 77625\n37084 55794\n33768 50808\n94049 100000\n47840 71839\n6623 9950\n55154 82737\n99857 100000\n19994 30153\n46472 69803\n35554 53477\n2166 3282\n53328 80000\n5030 7555\n92844 100000\n38624 58106\n91546 100000\n5112 7678\n79736 100000\n3523 5323\n24418 36825\n52839 79276\n26078 39277\n39793 59866\n22695 34219\n16535 24919\n45391 68185\n90551 100000\n69984 100000\n54906 82368\n17067 25730\n46482 69818\n14531 21905\n89414 100000\n47376 71138\n79794 100000\n20587 31049\n71647 100000\n4801 7214\n70534 100000\n6636 9971\n18773 28279\n48463 72765\n56391 84591\n11750 17713\n28158 42413\n39050 58737\n3254 4919\n95880 100000\n71977 100000\n13638 20544\n40158 60399\n31811 47907\n99294 100000\n70176 100000\n50290 75493\n90488 100000\n74672 100000\n43282 65055\n54571 81873\n96636 100000\n67233 100000\n99539 100000\n64968 97449\n80728 100000\n88405 100000\n75630 100000\n60598 90908\n30834 46445\n50078 75164\n12493 18823\n78134 100000\n19238 28984\n75706 100000\n80555 100000\n46042 69165\n90140 100000\n12818 19302\n74842 100000\n67537 100000\n50449 75739\n30244 45554\n39671 59676\n28191 42466\n33658 50639\n66910 100000\n5841 8777\n49245 73933\n32806 49388\n42407 63739\n75977 100000\n62716 94067\n16965 25577\n78599 100000\n16265 24518\n56464 84697\n96675 100000\n233 358\n51896 77908\n34382 51719\n87486 100000\n51628 77508\n80421 100000\n41570 62493\n88820 100000\n35977 54111\n78124 100000\n93697 100000\n97278 100000\n89145 100000\n92170 100000\n84774 100000\n72813 100000\n78588 100000\n74324 100000\n69336 100000\n34369 51696\n33763 50800\n46736 70182\n77240 100000\n31659 47686\n59820 89753\n57821 86736\n22050 33237\n28457 42875\n81414 100000\n89505 100000\n48035 72131\n88005 100000\n96018 100000\n29469 44382\n85780 100000\n64565 96837\n17827 26863\n50332 75560\n9293 13983\n84608 100000\n18054 27201\n9009 13559\n76725 100000\n39419 59290\n1061 1619\n90361 100000\n75832 100000\n77127 100000\n94192 100000\n88325 100000\n11663 17573\n17862 26917\n69701 100000\n43155 64858\n94658 100000\n4139 6209\n95357 100000\n87845 100000\n24239 36550\n17948 27044\n95476 100000\n71876 100000\n24950 37598\n81749 100000\n81533 100000\n41056 61738\n43718 65709\n64966 97447\n54508 81780\n53271 79919\n45955 69036\n49282 73985\n78313 100000\n67878 100000\n87373 100000\n29391 44273\n56290 84428\n86054 100000\n76699 100000\n25494 38416\n12017 18109\n93272 100000\n86289 100000\n5445 8177\n6253 9400\n87327 100000\n11917 17959\n7349 11039\n43917 66002\n14089 21235\n63838 95749\n41889 62978\n78708 100000\n75595 100000\n22911 34542\n60796 91205\n32981 49646\n56789 85183\n91164 100000\n17342 26146\n70749 100000\n91424 100000\n2963 4477\n98881 100000\n32387 48771\n3081 4655\n81423 100000\n2849 4306\n45936 69006\n22309 33637\n13436 20234\n77707 100000\n94512 100000\n88480 100000\n59354 89067\n98133 100000\n41191 61937\n90913 100000\n67236 100000\n60395 90603\n77825 100000\n72777 100000\n70543 100000\n55611 83427\n42359 63664\n27730 41762\n60682 91031\n85985 100000\n72222 100000\n65651 98476\n50839 76318\n73623 100000\n42593 64022\n93784 100000\n7099 10662\n84811 100000\n39103 58818\n88417 100000\n30911 46561\n10052 15137\n94354 100000\n99873 100000\n13233 19931\n16350 24644\n78847 100000\n77235 100000\n42190 63423\n44392 66691\n11007 16561\n58347 87530\n8793 13234\n67808 100000\n90977 100000\n30406 45800\n42077 63253\n10269 15459\n19350 29163\n80332 100000\n61587 92360\n92234 100000\n99443 100000\n36691 55209\n50789 76248\n52207 78346\n12495 18826\n59894 89870\n73532 100000\n281 429\n93803 100000\n95488 100000\n43413 65255\n18726 28209\n94807 100000\n67127 100000\n70659 100000\n23852 35956\n46565 69941\n12830 19321\n42890 64459\n42417 63756\n5023 7543\n72932 100000\n21144 31868\n83985 100000\n85872 100000\n22959 34613\n31287 47113\n82935 100000\n46301 69546\n27853 41952\n38922 58546\n73749 100000\n57476 86218\n10666 16048\n23559 35525\n45554 68434\n30764 46342\n6421 9649\n36093 54286\n81959 100000\n19478 29360\n39505 59418\n3110 4699\n27371 41223\n59839 89782\n54400 81622\n22475 33889\n69310 100000\n24085 36313\n14456 21797\n60548 90830\n93562 100000\n73988 100000\n48675 73077\n31593 47588\n42149 63365\n86058 100000\n4847 7282\n97398 100000\n99119 100000\n5807 8727\n38847 58426\n21671 32667\n54139 81240\n80944 100000\n76891 100000\n50396 75658\n47919 71959\n24216 36514\n91606 100000\n45716 68685\n17686 26646\n82313 100000\n99893 100000\n97584 100000\n76820 100000\n2708 4097\n55739 83617\n59961 89963\n38250 57554\n3574 5392\n16705 25176\n616 947\n33439 50317\n47786 71756\n17312 26103\n81284 100000\n55588 83392\n57080 85606\n2592 3922\n48359 72614\n24051 36262\n38445 57841\n23486 35420\n12653 19064\n81994 100000\n1270 1934\n90135 100000\n23876 35990\n2035 3094\n27157 40893\n52339 78548\n56616 84927\n36294 54585\n26448 39828\n98274 100000\n12242 18438\n2880 4352\n16289 24556\n33057 49758\n48872 73375\n9877 14869\n59798 89720\n64784 97174\n32024 48220\n16146 24336\n13298 20024\n62029 93030\n71981 100000\n96984 100000\n99457 100000\n1552 2364\n90397 100000\n95774 100000\n37068 55771\n23963 36123\n20425 30800\n34120 51325\n57823 86738\n79909 100000\n58573 87874\n47077 70695\n1220 1863\n21300 32099\n60930 91401\n2847 4303\n30044 45258\n9843 14814\n86034 100000\n93512 100000\n10677 16066\n29189 43978\n8278 12444\n16297 24567\n45940 69014\n37686 56697\n78391 100000\n47390 71160\n42139 63350\n43092 64765\n63356 95023\n75272 100000\n59255 88904\n23242 35030\n49666 74554\n6144 9237\n38204 57479\n7174 10773\n31083 46814\n54704 82076\n56302 84449\n56965 85443\n63818 95723\n1823 2778\n54536 81820\n75451 100000\n16867 25426\n92422 100000\n94919 100000\n71105 100000\n8052 12107\n37722 56755\n56513 84775\n93953 100000\n10521 15830\n36703 55226\n66476 99739\n92409 100000\n57369 86056\n83575 100000\n20095 30307\n19093 28762\n11245 16930\n40948 61571\n5070 7616\n78080 100000\n58682 88041\n55833 83758\n27493 41407\n56080 84123\n6396 9611\n77654 100000\n64891 97336\n20742 31277\n40859 61438\n61176 91761\n12416 18703\n80082 100000\n25931 39060\n58380 87582\n13522 20371\n93533 100000\n22059 33252\n45026 67645\n18454 27800\n21372 32208\n15751 23742\n13115 19752\n55539 83317\n46834 70333\n72875 100000\n54360 81562\n55915 83889\n94182 100000\n63996 95987\n46395 69688\n44703 67153\n42995 64623\n5298 7953\n76463 100000\n39241 59022\n45189 67886\n24753 37308\n80041 100000\n49008 73572\n4142 6213\n95797 100000\n34219 51467\n25161 37916\n3719 5601\n88254 100000\n39944 60086\n82773 100000\n80154 100000\n24471 36902\n56108 84166\n58394 87605\n18829 28361\n84012 100000\n67057 100000\n51996 78050\n70450 100000\n80286 100000\n18326 27613\n51780 77734\n44996 67602\n98474 100000\n87924 100000\n45276 68012\n23668 35685\n69779 100000\n17886 26956\n9766 14700\n97742 100000\n89714 100000\n32289 48621\n9825 14787\n73313 100000\n40370 60715\n90249 100000\n74727 100000\n26501 39913\n92381 100000\n19568 29495\n70119 100000\n62440 93664\n82988 100000\n95851 100000\n5498 8252\n96979 100000\n38072 57283\n20619 31097\n2355 3568\n92361 100000\n19653 29627\n78802 100000\n17387 26210\n74772 100000\n3613 5446\n63312 94958\n86078 100000\n27487 41396\n92770 100000\n86532 100000\n70044 100000\n15731 23709\n58545 87833\n92313 100000\n16640 25080\n48168 72337\n32453 48871\n10833 16303\n59217 88851\n50018 75071\n15198 22900\n93088 100000\n72434 100000\n67880 100000\n17709 26682\n9405 14153\n18868 28419\n53248 79886\n94977 100000\n72512 100000\n43382 65209\n59180 88791\n63781 95667\n31400 47287\n45178 67870\n63407 95102\n54445 81688\n50463 75758\n69993 100000\n33959 51088\n77258 100000\n94083 100000\n80510 100000\n75961 100000\n99674 100000\n94048 100000\n88458 100000\n63651 95461\n95571 100000\n49845 74819\n44781 67270\n6263 9415\n16938 25535\n32668 49186\n29781 44860\n60583 90884\n82665 100000\n66468 99728\n9551 14382\n53730 80619\n87549 100000\n15299 23052\n3486 5270\n21487 32379\n5619 8436\n3760 5661\n83199 100000\n85945 100000\n8761 13184\n91358 100000\n86014 100000\n69532 100000\n76370 100000\n23591 35567\n95066 100000\n41503 62395\n10484 15776\n51609 77479\n16503 24871\n67192 100000\n8453 12712\n15631 23555\n45149 67826\n19466 29343\n3013 4553\n28953 43627\n52661 79014\n14457 21798\n23033 34725\n37547 56491\n63303 94941\n66481 99748\n64138 96206\n27245 41025\n65493 98239\n65666 98500\n94019 100000\n37383 56244\n72177 100000\n88361 100000\n40275 60575\n86647 100000\n19034 28669\n99420 100000\n604 928\n91494 100000\n90102 100000\n8601 12944\n64011 96010\n58597 87910\n59439 89184\n10566 15897\n32315 48661\n78607 100000\n36860 55467\n62040 93046\n36939 55586\n28065 42269\n61866 92787\n1637 2493\n70780 100000\n17286 26066\n68426 100000\n20752 31293\n84112 100000\n58587 87894\n14271 21514\n59669 89522\n63290 94925\n84436 100000\n34226 51478\n43368 65189\n71952 100000\n37912 57045\n47542 71384\n38046 57241\n96770 100000\n51670 77572\n12285 18504\n87708 100000\n11842 17844\n22777 34338\n73641 100000\n42212 63458\n57477 86220\n48082 72205\n38618 58096\n61246 91865\n52579 78899\n91445 100000\n30685 46220\n68800 100000\n49345 74082\n61189 91777\n29545 44497\n19508 29405\n24739 37286\n9839 14808\n67557 100000\n43153 64856\n9317 14020\n88842 100000\n67226 100000\n87729 100000\n60162 90256\n13051 19653\n78532 100000\n12499 18832\n56044 84077\n79475 100000\n47615 71490\n73017 100000\n49734 74654\n92022 100000\n66580 99896\n70406 100000\n79285 100000\n31477 47402\n78102 100000\n33589 50536\n47344 71091\n95244 100000\n53103 79682\n42362 63667\n9833 14799\n93824 100000\n55680 83527\n72939 100000\n96305 100000\n99018 100000\n51155 76802\n9439 14200\n62268 93406\n76312 100000\n90584 100000\n19649 29621\n46151 69329\n54217 81358\n74542 100000\n92582 100000\n74778 100000\n34193 51426\n75838 100000\n27385 41246\n98960 100000\n86544 100000\n82741 100000\n2577 3900\n20150 30390\n19036 28673\n46174 69362\n67695 100000\n70182 100000\n6132 9218\n33783 50831\n17357 26165\n44769 67255\n71887 100000\n98607 100000\n45946 69022\n91551 100000\n54562 81860\n36852 55453\n62162 93238\n44357 66636\n55313 82982\n25293 38109\n85085 100000\n76371 100000\n17852 26902\n79646 100000\n21154 31883\n65030 97540\n45699 68662\n33687 50684\n91201 100000\n69038 100000\n219 336\n10517 15825\n45942 69017\n96408 100000\n13218 19906\n54809 82233\n75778 100000\n8220 12361\n66313 99501\n67632 100000\n95463 100000\n27109 40821\n85204 100000\n14292 21546\n9950 14981\n25136 37877\n9589 14440\n99040 100000\n8011 12043\n7983 12003\n74567 100000\n71646 100000\n9796 14745\n84396 100000\n32718 49260\n22523 33955\n67040 100000\n24666 37176\n66414 99651\n90002 100000\n41400 62238\n45403 68201\n36499 54908\n67602 100000\n56032 84062\n62307 93463\n50976 76524\n33142 49881\n74480 100000\n71000 100000\n26201 39464\n61592 92367\n99628 100000\n33324 50151\n90112 100000\n74698 100000\n58522 87800\n11292 17004\n86634 100000\n36183 54422\n52712 79084\n91020 100000\n72910 100000\n78967 100000\n64901 97351\n11222 16891\n26384 39738\n32729 49276\n2249 3407\n69207 100000\n87463 100000\n3979 5976\n34206 51446\n14735 22217\n59018 88545\n54496 81763\n26654 40135\n15928 24008\n56448 84670\n53057 79608\n24754 37309\n16483 24842\n6571 9873\n66312 99500\n62056 93071\n64097 96148\n65818 98735\n48098 72229\n70574 100000\n86644 100000\n21594 32552\n37965 57127\n63446 95159\n3456 5221\n26940 40567\n59783 89697\n18941 28527\n46152 69331\n99883 100000\n59133 88720\n89348 100000\n83390 100000\n76826 100000\n61076 91612\n9746 14674\n27482 41389\n91518 100000\n82017 100000\n44512 66861\n43871 65934\n10012 15075\n50991 76550\n23999 36180\n57074 85598\n23150 34889\n70573 100000\n30912 46563\n11742 17701\n73964 100000\n54151 81257\n59696 89570\n549 842\n74911 100000\n6260 9410\n76648 100000\n38780 58333\n41153 61880\n54794 82210\n78983 100000\n15622 23540\n97683 100000\n7626 11463\n3459 5225\n41106 61810\n40779 61324\n6311 9485\n2543 3850\n36922 55562\n22530 33965\n9547 14375\n91586 100000\n74986 100000\n64159 96236\n37838 56928\n83471 100000\n10162 15300\n94330 100000\n9940 14967\n90165 100000\n97580 100000\n16528 24910\n26647 40125\n83019 100000\n85462 100000\n91345 100000\n48984 73538\n79335 100000\n23345 35198\n32738 49286\n89586 100000\n67935 100000\n68622 100000\n46723 70163\n76630 100000\n70233 100000\n85738 100000\n20417 30785\n94321 100000\n16056 24199\n98167 100000\n67865 100000\n80129 100000\n70987 100000\n41588 62517\n84094 100000\n77088 100000\n42378 63695\n59335 89034\n7904 11880\n98050 100000\n20847 31435\n44276 66519\n44839 67360\n38532 57963\n17054 25711\n1361 2081\n23236 35023\n7648 11494\n42616 64055\n99691 100000\n45728 68705\n40733 61257\n35071 52755\n69303 100000\n74232 100000\n78577 100000\n72302 100000\n24685 37204\n17678 26634\n80207 100000\n12869 19372\n39399 59263\n79213 100000\n40871 61457\n78579 100000\n23980 36151\n30255 45573\n44115 66287\n10917 16427\n12847 19342\n64436 96636\n52674 79031\n75685 100000\n9648 14524\n90951 100000\n37093 55809\n85824 100000\n46534 69890\n23205 34978\n91492 100000\n22565 34017\n51181 76843\n1298 1976\n36960 55615\n663 1017\n52711 79083\n58952 88448\n88650 100000\n275 419\n45238 67958\n28143 42391\n9936 14961\n11799 17779\n22102 33322\n44582 66973\n77796 100000\n1653 2516\n21877 32978\n57641 86472\n19751 29778\n6887 10344\n48832 73313\n4093 6144\n27401 41271\n71302 100000\n2790 4220\n41826 62877\n84715 100000\n31962 48130\n50677 76072\n58050 87087\n39934 60072\n59010 88537\n57892 86848\n81659 100000\n1416 2170\n64940 97407\n13049 19650\n28398 42780\n9909 14920\n12550 18904\n7239 10870\n76926 100000\n35199 52957\n84926 100000\n57257 85872\n68830 100000\n32900 49531\n50010 75059\n44180 66373\n65831 98757\n23941 36089\n53192 79808\n17992 27108\n7366 11064\n93264 100000\n22253 33551\n88720 100000\n87775 100000\n15823 23855\n99809 100000\n27596 41562\n3664 5522\n90415 100000\n37643 56635\n29126 43880\n7976 11990\n64910 97365\n77893 100000\n43158 64863\n33372 50218\n44751 67227\n56784 85176\n8746 13161\n38633 58119\n94316 100000\n50047 75117\n59313 88996\n78546 100000\n93747 100000\n86351 100000\n18351 27645\n76895 100000\n70232 100000\n11979 18050\n47268 70975\n95814 100000\n48365 72622\n23358 35216\n46708 70141\n46722 70161\n33495 50396\n64289 96426\n87584 100000\n42233 63488\n32666 49183\n39904 60029\n47256 70957\n59790 89709\n56233 84343\n76869 100000\n95226 100000\n64279 96412\n62123 93174\n27836 41925\n60502 90768\n31866 47993\n34217 51464\n17249 26011\n21793 32855\n33291 50103\n55574 83371\n48629 73004\n11059 16640\n85768 100000\n19785 29832\n24579 37051\n21604 32568\n23387 35265\n7095 10657\n65947 98937\n14552 21936\n92801 100000\n62850 94264\n77862 100000\n65318 97968\n74637 100000\n36668 55171\n27430 41314\n82657 100000\n22467 33876\n65210 97809\n34428 51786\n47331 71073\n6866 10311\n11986 18059\n20381 30732\n11337 17073\n69238 100000\n31314 47149\n25394 38260\n90826 100000\n46046 69172\n16509 24882\n1165 1782\n3190 4822\n84887 100000\n23368 35232\n4909 7378\n48307 72538\n44622 67032\n66420 99660\n46494 69835\n93630 100000\n45104 67763\n11375 17134\n90857 100000\n90807 100000\n99336 100000\n2778 4204\n93649 100000\n91181 100000\n76841 100000\n74937 100000\n25450 38348\n10053 15139\n30846 46462\n83421 100000\n61683 92509\n60869 91313\n27042 40723\n1251 1906\n70116 100000\n91054 100000\n36634 55120\n5377 8076\n80714 100000\n51835 77817\n43801 65833\n69826 100000\n61844 92755\n87364 100000\n37975 57144\n72432 100000\n48132 72281\n27461 41357\n68228 100000\n82983 100000\n73049 100000\n87862 100000\n7328 11010\n4905 7370\n38337 57681\n45634 68563\n71600 100000\n61480 92202\n83881 100000\n88081 100000\n83781 100000\n34406 51754\n75015 100000\n52912 79385\n61789 92672\n58982 88493\n5878 8830\n92652 100000\n14655 22091\n17428 26273\n28223 42515\n84182 100000\n18208 27434\n12881 19391\n49207 73878\n75543 100000\n92056 100000\n21944 33080\n61519 92257\n33180 49935\n56774 85162\n88147 100000\n54710 82083\n17987 27101\n36884 55504\n62038 93043\n99598 100000\n22436 33828\n47101 70734\n35021 52680\n67496 100000\n59556 89354\n84113 100000\n45291 68037\n70137 100000\n13322 20060\n86688 100000\n95631 100000\n25245 38039\n39447 59332\n48677 73079\n34816 52365\n90443 100000\n18832 28365\n570 871\n86464 100000\n60775 91176\n59502 89275\n90983 100000\n28942 43610\n49249 73939\n49779 74723\n99282 100000\n98276 100000\n39362 59209\n32635 49136\n51045 76631\n59574 89383\n64257 96380\n81622 100000\n24200 36487\n95505 100000\n57353 86030\n88072 100000\n15058 22688\n50721 76142\n46655 70073\n40980 61620\n52249 78413\n88572 100000\n43691 65668\n31614 47624\n86031 100000\n74073 100000\n50600 75958\n21722 32746\n63910 95856\n24759 37315\n85499 100000\n2692 4073\n60373 90571\n47451 71248\n65191 97778\n45337 68108\n51868 77862\n70951 100000\n179 273\n69833 100000\n52497 78776\n89572 100000\n41399 62237\n98838 100000\n51093 76698\n17919 27006\n41627 62578\n76166 100000\n96316 100000\n2344 3552\n29668 44679\n39071 58771\n46935 70483\n28321 42668\n24149 36408\n56428 84642\n38746 58281\n64804 97202\n52435 78686\n35218 52983\n25942 39075\n18431 27761\n98249 100000\n19663 29642\n99531 100000\n93522 100000\n63660 95475\n92707 100000\n65467 98198\n82790 100000\n33832 50901\n31281 47104\n2484 3756\n86167 100000\n9787 14733\n29829 44931\n5254 7888\n47999 72077\n70735 100000\n76948 100000\n34571 51998\n67247 100000\n26862 40455\n7332 11015\n20505 30926\n1502 2298\n66158 99259\n14081 21223\n26909 40527\n92043 100000\n8212 12350\n77549 100000\n85031 100000\n37531 56471\n97967 100000\n79501 100000\n36360 54692\n37055 55754\n3183 4812\n24675 37191\n16543 24932\n99385 100000\n13133 19777\n37098 55817\n44516 66867\n3114 4703\n31810 47906\n83206 100000\n22873 34483\n17813 26840\n90155 100000\n9230 13881\n28218 42508\n91333 100000\n49303 74020\n31619 47633\n30507 45954\n65734 98607\n96541 100000\n93156 100000\n64918 97376\n80447 100000\n19628 29587\n67687 100000\n46479 69814\n52885 79346\n12565 18928\n92881 100000\n73790 100000\n19793 29842\n40000 60170\n88052 100000\n7592 11406\n67186 100000\n35903 54001\n20373 30717\n97320 100000\n71530 100000\n25569 38527\n79138 100000\n54970 82465\n61772 92648\n61710 92550\n56516 84780\n41052 61731\n6427 9657\n9106 13697\n93925 100000\n10497 15798\n66295 99472\n11577 17446\n21957 33100\n53531 80316\n19381 29211\n30848 46464\n79557 100000\n6662 10013\n13486 20314\n82346 100000\n47049 70647\n72160 100000\n68549 100000\n26108 39327\n86939 100000\n59463 89217\n20521 30951\n42343 63638\n25290 38104\n23340 35188\n82344 100000\n63993 95982\n56247 84360\n9520 14331\n55004 82517\n82310 100000\n81792 100000\n30176 45456\n11534 17380\n53832 80775\n93713 100000\n38520 57943\n34348 51666\n46478 69812\n17869 26927\n76120 100000\n85082 100000\n41438 62294\n9786 14731\n50710 76124\n99996 100000\n72938 100000\n84825 100000\n63501 95242\n11916 17957\n42950 64554\n43481 65352\n87496 100000\n54359 81561\n11513 17347\n9114 13710\n59281 88944\n52791 79208\n82870 100000\n84153 100000\n65165 97740\n58767 88175\n12328 18568\n32808 49390\n66036 99068\n90407 100000\n27153 40887\n45313 68072\n1403 2151\n88976 100000\n61365 92037\n98923 100000\n64286 96421\n37303 56117\n13487 20315\n17853 26903\n60172 90270\n45439 68257\n10038 15114\n41477 62354\n60826 91251\n97577 100000\n34970 52603\n52748 79141\n80635 100000\n28794 43394\n40951 61576\n16616 25040\n52015 78077\n97428 100000\n20260 30554\n99453 100000\n41227 61991\n24528 36986\n88499 100000\n27582 41541\n13449 20256\n49356 74097\n28202 42483\n36816 55399\n89679 100000\n19460 29336\n75875 100000\n27715 41742\n88364 100000\n33277 50083\n34438 51802\n86934 100000\n39180 58935\n55749 83633\n45776 68772\n53915 80902\n25295 38113\n32394 48781\n75612 100000\n89347 100000\n22670 34182\n52977 79485\n62693 94032\n28810 43419\n51966 78006\n55202 82811\n42610 64047\n92053 100000\n17059 25719\n22331 33670\n54981 82484\n56967 85445\n18719 28198\n43216 64954\n22366 33721\n31498 47435\n23976 36144\n48949 73486\n67409 100000\n27919 42053\n54844 82284\n34420 51775\n45495 68339\n79369 100000\n19362 29181\n51478 77278\n25650 38638\n9433 14192\n73172 100000\n94010 100000\n75 116\n7936 11929\n44524 66881\n60924 91392\n80625 100000\n61004 91508\n95577 100000\n22538 33976\n36716 55245\n78362 100000\n49321 74045\n19734 29753\n40253 60540\n8004 12033\n62661 93983\n46394 69687\n48173 72345\n92502 100000\n49084 73686\n3257 4922\n62087 93119\n28838 43462\n59569 89374\n97285 100000\n11085 16680\n48826 73305\n13416 20206\n73120 100000\n80534 100000\n55978 83979\n26928 40548\n93059 100000\n11005 16558\n80693 100000\n14895 22452\n68183 100000\n12305 18535\n83020 100000\n18622 28057\n32246 48556\n61156 91733\n28026 42210\n61802 92690\n85777 100000\n56760 85140\n82968 100000\n83287 100000\n74220 100000\n35750 53773\n71317 100000\n33984 51125\n61103 91648\n20317 30631\n73925 100000\n75587 100000\n20499 30918\n25851 38943\n1172 1792\n83700 100000\n96564 100000\n64301 96444\n14131 21298\n10477 15766\n85594 100000\n3018 4561\n81296 100000\n15180 22868\n15175 22861\n49473 74273\n30254 45571\n37184 55946\n92715 100000\n8683 13068\n74670 100000\n27492 41406\n43857 65915\n85712 100000\n47687 71602\n86204 100000\n28892 43536\n9606 14463\n99200 100000\n87942 100000\n48676 73078\n52327 78529\n58045 87079\n80189 100000\n55108 82670\n30167 45444\n54863 82309\n9265 13939\n36236 54499\n69132 100000\n70979 100000\n86115 100000\n69030 100000\n13957 21040\n53350 80038\n27307 41123\n35088 52778\n7117 10685\n95570 100000\n34460 51835\n61596 92372\n40217 60486\n31451 47359\n70108 100000\n33098 49819\n17622 26554\n23934 36078\n61526 92268\n23546 35505\n62739 94100\n16613 25036\n99273 100000\n8926 13429\n28277 42599\n27373 41226\n35971 54101\n69463 100000\n66063 99111\n19577 29509\n99700 100000\n31784 47870\n42675 64137\n5320 7986\n31414 47306\n3533 5336\n14237 21460\n54553 81844\n55320 82992\n29060 43785\n86533 100000\n96614 100000\n90138 100000\n74316 100000\n59518 89294\n93505 100000\n93875 100000\n33204 49974\n94563 100000\n59766 89672\n4426 6653\n6742 10135\n58756 88157\n79199 100000\n18462 27812\n68954 100000\n10332 15553\n63096 94637\n41397 62234\n59524 89304\n15239 22962\n24474 36907\n94522 100000\n90007 100000\n37013 55695\n27453 41345\n56665 85002\n45385 68175\n67860 100000\n1324 2019\n87092 100000\n93295 100000\n53640 80477\n35221 52987\n87131 100000\n52793 79212\n78 119\n18307 27582\n14110 21268\n31917 48066\n27480 41386\n64416 96606\n820 1260\n80050 100000\n931 1423\n46444 69760\n84357 100000\n74111 100000\n62919 94367\n389 599\n76393 100000\n66906 100000\n50299 75508\n54542 81828\n91823 100000\n4196 6302\n2306 3493\n15053 22681\n85691 100000\n65472 98207\n72737 100000\n61907 92851\n18394 27702\n28151 42402\n68273 100000\n79874 100000\n47744 71690\n52591 78916\n3087 4664\n90455 100000\n18128 27313\n31754 47826\n48963 73505\n27988 42154\n50231 75405\n53290 79947\n24750 37304\n35847 53919\n43592 65516\n48033 72128\n52619 78957\n183 280\n94108 100000\n90745 100000\n94297 100000\n51227 76904\n2117 3211\n75910 100000\n84517 100000\n31922 48073\n80550 100000\n38541 57976\n75605 100000\n21710 32731\n66708 100000\n20870 31470\n84623 100000\n44536 66903\n1640 2498\n677 1040\n34095 51292\n13482 20308\n25298 38117\n46616 70015\n43853 65909\n56531 84804\n52599 78928\n26937 40564\n43961 66067\n57667 86511\n21873 32973\n62496 93743\n49653 74534\n90851 100000\n94134 100000\n21051 31732\n29086 43822\n79443 100000\n19894 30001\n66501 99781\n30608 46100\n76884 100000\n20224 30500\n56363 84545\n46406 69704\n21924 33049\n36768 55326\n3139 4744\n63710 95552\n41598 62533\n96982 100000\n78650 100000\n23338 35186\n55729 83602\n81943 100000\n52351 78563\n50847 76331\n38643 58132\n39697 59714\n92109 100000\n46022 69135\n45411 68213\n19091 28759\n74879 100000\n68536 100000\n51420 77188\n12344 18593\n76744 100000\n50144 75268\n73519 100000\n34600 52041\n70267 100000\n52603 78932\n43263 65024\n27548 41489\n74660 100000\n62802 94196\n60873 91319\n62600 93895\n57625 86449\n75472 100000\n4611 6929\n5216 7826\n30217 45515\n99384 100000\n43710 65698\n89092 100000\n94516 100000\n8286 12457\n3918 5888\n83827 100000\n88075 100000\n33630 50595\n53763 80670\n89177 100000\n11893 17922\n87036 100000\n34940 52560\n60220 90346\n80217 100000\n24279 36614\n45820 68836\n76580 100000\n44409 66717\n35244 53019\n5582 8381\n66644 99999\n11872 17891\n91852 100000\n25117 37848\n5928 8907\n80725 100000\n61570 92335\n16715 25190\n75368 100000\n55123 82694\n5819 8744\n52683 79045\n1238 1887\n71387 100000\n64355 96518\n36012 54163\n42777 64289\n90789 100000\n69804 100000\n70539 100000\n73756 100000\n61724 92571\n72506 100000\n34859 52432\n57430 86151\n70261 100000\n24425 36835\n15709 23676\n33691 50691\n42007 63154\n89299 100000\n28764 43348\n77455 100000\n83627 100000\n36105 54300\n89856 100000\n87855 100000\n18418 27737\n86364 100000\n59980 89992\n29458 44366\n12474 18793\n52655 79005\n75864 100000\n36945 55595\n29539 44488\n25010 37690\n3213 4855\n68722 100000\n48490 72805\n73626 100000\n24710 37243\n74566 100000\n63199 94788\n46294 69535\n22495 33917\n5032 7558\n5880 8834\n9590 14441\n10900 16403\n59250 88897\n55606 83419\n18321 27604\n43108 64791\n6783 10196\n59603 89427\n75761 100000\n33829 50898\n30117 45368\n73733 100000\n1880 2864\n46286 69523\n15124 22794\n32151 48410\n72310 100000\n83715 100000\n24783 37350\n82248 100000\n12023 18119\n33471 50363\n11465 17270\n69922 100000\n21931 33059\n57654 86491\n87580 100000\n57271 85894\n92244 100000\n92308 100000\n37899 57023\n70281 100000\n68709 100000\n20377 30725\n48818 73295\n89018 100000\n85866 100000\n61094 91636\n67500 100000\n40875 61463\n52235 78391\n4446 6686\n79229 100000\n82249 100000\n74878 100000\n80754 100000\n6839 10274\n89822 100000\n35681 53669\n68605 100000\n70892 100000\n80566 100000\n28875 43512\n33909 51013\n9798 14749\n15208 22913\n15595 23499\n40118 60343\n92000 100000\n87938 100000\n19831 29899\n55351 83033\n38731 58260\n59141 88731\n92195 100000\n67154 100000\n62608 93908\n12097 18223\n78464 100000\n17838 26880\n8532 12833\n38177 57441\n89287 100000\n79234 100000\n48197 72384\n45726 68701\n86874 100000\n59506 89281\n44333 66602\n73663 100000\n41289 62080\n94181 100000\n49891 74886\n72297 100000\n77201 100000\n72252 100000\n4391 6594\n50281 75480\n38112 57343\n48354 72606\n63863 95785\n80698 100000\n23432 35339\n83810 100000\n90372 100000\n39833 59920\n42517 63904\n8511 12800\n31089 46824\n61597 92374\n42198 63435\n13479 20303\n85322 100000\n19127 28809\n56618 84931\n33210 49982\n7877 11839\n96282 100000\n12435 18731\n16150 24341\n51509 77328\n20484 30893\n41976 63111\n44172 66363\n86117 100000\n43709 65696\n61488 92213\n87068 100000\n60192 90304\n96353 100000\n44750 67226\n32646 49150\n27350 41191\n70230 100000\n61374 92050\n46027 69142\n85327 100000\n34333 51643\n58867 88319\n24384 36773\n57972 86969\n38288 57608\n6166 9268\n50336 75567\n49194 73857\n12275 18489\n94664 100000\n77168 100000\n9509 14314\n9251 13917\n48662 73055\n92251 100000\n15627 23548\n24924 37555\n18692 28162\n3923 5894\n33414 50282\n81040 100000\n74827 100000\n21959 33102\n15276 23019\n34013 51173\n33545 50468\n48351 72601\n93759 100000\n55437 83160\n39657 59654\n74896 100000\n43654 65610\n67344 100000\n18359 27655\n48538 72873\n1917 2915\n94380 100000\n85518 100000\n26649 40129\n17730 26716\n49525 74352\n73437 100000\n83524 100000\n63486 95220\n43872 65935\n67275 100000\n66447 99699\n48893 73408\n49072 73668\n31677 47717\n35084 52774\n30598 46087\n93371 100000\n78734 100000\n84716 100000\n58909 88381\n22875 34486\n22243 33535\n15520 23386\n40266 60562\n6802 10220\n84462 100000\n3277 4952\n36969 55628\n8612 12961\n16402 24724\n43047 64696\n54137 81237\n93910 100000\n49856 74837\n41221 61981\n49713 74623\n82887 100000\n89264 100000\n9893 14894\n51605 77473\n57054 85568\n88164 100000\n21032 31703\n31292 47120\n59422 89161\n92541 100000\n54576 81880\n72139 100000\n77491 100000\n86730 100000\n65070 97598\n34327 51636\n48987 73542\n83692 100000\n77571 100000\n56335 84500\n96689 100000\n46339 69601\n70433 100000\n89919 100000\n63897 95838\n69957 100000\n68005 100000\n64707 97052\n40936 61553\n1583 2413\n36952 55604\n19654 29629\n60594 90902\n49752 74682\n62397 93599\n73339 100000\n21432 32296\n61517 92255\n70418 100000\n71928 100000\n83662 100000\n32242 48550\n53149 79745\n39441 59323\n27272 41069\n28514 42956\n35702 53699\n38844 58421\n78477 100000\n93066 100000\n85088 100000\n37468 56375\n35073 52758\n59009 88536\n86125 100000\n68671 100000\n11440 17231\n82838 100000\n81949 100000\n765 1176\n49101 73709\n52185 78316\n18657 28109\n51006 76572\n90141 100000\n11692 17620\n1433 2195\n6989 10490\n93940 100000\n16781 25294\n72492 100000\n25356 38203\n91045 100000\n61822 92720\n92490 100000\n85806 100000\n66460 99718\n65066 97591\n7490 11255\n63278 94907\n78624 100000\n9340 14051\n27002 40663\n20279 30580\n67706 100000\n89006 100000\n34205 51444\n97410 100000\n25040 37738\n31745 47815\n41529 62433\n92996 100000\n2261 3424\n82922 100000\n6250 9394\n33309 50128\n67450 100000\n21841 32923\n90369 100000\n17658 26603\n14783 22285\n70969 100000\n61976 92951\n18570 27980\n35754 53780\n43491 65366\n3622 5460\n75982 100000\n67780 100000\n41245 62019\n21112 31821\n21929 33055\n25849 38939\n55751 83635\n80653 100000\n66940 100000\n59580 89391\n77399 100000\n21914 33035\n74018 100000\n63828 95737\n5462 8201\n27239 41016\n24801 37373\n58933 88420\n96820 100000\n86652 100000\n50251 75432\n48208 72399\n43742 65743\n21835 32914\n96025 100000\n12437 18734\n45236 67955\n30550 46017\n727 1119\n45834 68856\n75804 100000\n33472 50365\n68553 100000\n69218 100000\n56802 85201\n74968 100000\n26121 39348\n32592 49075\n66943 100000\n71484 100000\n34147 51359\n65855 98792\n640 981\n16389 24702\n84197 100000\n90601 100000\n27840 41932\n59577 89387\n19518 29419\n74609 100000\n82641 100000\n3565 5380\n71375 100000\n71167 100000\n26919 40539\n30729 46285\n756 1163\n69076 100000\n97068 100000\n18404 27717\n65079 97611\n4607 6924\n94619 100000\n16364 24664\n71031 100000\n97407 100000\n74257 100000\n13871 20898\n51151 76796\n67001 100000\n30165 45441\n3025 4570\n57829 86746\n59480 89242\n14388 21685\n68167 100000\n93885 100000\n81814 100000\n50426 75705\n51203 76871\n563 862\n79643 100000\n41047 61725\n86159 100000\n39018 58690\n36734 55273\n20852 31443\n79434 100000\n54677 82034\n36636 55122\n40212 60479\n95492 100000\n85909 100000\n75414 100000\n19830 29898\n85798 100000\n45654 68593\n66720 100000\n79144 100000\n82835 100000\n23166 34915\n51546 77382\n89069 100000\n70069 100000\n97437 100000\n63653 95465\n61885 92817\n76155 100000\n31548 47515\n89232 100000\n75614 100000\n67798 100000\n17647 26586\n93929 100000\n33908 51012\n44610 67016\n54465 81715\n40682 61180\n67669 100000\n91261 100000\n608 933\n2016 3066\n96565 100000\n87348 100000\n28489 42918\n16359 24656\n94445 100000\n84189 100000\n87265 100000\n65406 98109\n74575 100000\n9409 14159\n63310 94955\n91744 100000\n4376 6572\n60717 91084\n65925 98903\n72226 100000\n21615 32584\n93715 100000\n52285 78467\n53646 80488\n2463 3722\n90106 100000\n92852 100000\n39228 59005\n88307 100000\n68569 100000\n79934 100000\n95875 100000\n13198 19876\n1174 1795\n67405 100000\n25173 37934\n49540 74372\n20360 30700\n33305 50122\n41173 61906\n28254 42562\n28747 43324\n26345 39680\n27517 41442\n97008 100000\n4699 7057\n78630 100000\n80704 100000\n60629 90954\n52616 78953\n99429 100000\n52562 78873\n72928 100000\n18601 28024\n76644 100000\n54893 82352\n9856 14838\n89093 100000\n32230 48535\n14778 22278\n69184 100000\n6507 9782\n73786 100000\n40885 61479\n34054 51234\n34904 52503\n84531 100000\n9415 14166\n6352 9546\n64383 96554\n19640 29605\n87944 100000\n54498 81767\n25296 38114\n78265 100000\n77459 100000\n88709 100000\n72652 100000\n16044 24179\n6069 9130\n41631 62584\n77198 100000\n18663 28118\n89274 100000\n99431 100000\n89025 100000\n4399 6607\n42860 64416\n50784 76240\n20297 30602\n78255 100000\n64914 97371\n72048 100000\n87019 100000\n20036 30215\n52469 78737\n78273 100000\n26780 40335\n94708 100000\n34658 52126\n36054 54226\n49736 74657\n102 152\n48576 72925\n71163 100000\n84013 100000\n2961 4475\n26462 39852\n34823 52374\n60807 91222\n86952 100000\n1870 2850\n13384 20155\n50849 76333\n16895 25470\n61273 91905\n43949 66049\n9630 14498\n48918 73443\n90653 100000\n4224 6343\n42850 64399\n93470 100000\n35210 52972\n9886 14883\n29941 45100\n81321 100000\n56193 84280\n69411 100000\n67468 100000\n36418 54784\n72408 100000\n26508 39921\n41572 62495\n93113 100000\n23311 35145\n21715 32738\n26753 40295\n22414 33796\n76064 100000\n4832 7258\n94096 100000\n78291 100000\n85529 100000\n71924 100000\n29420 44312\n67503 100000\n55013 82532\n36903 55534\n4145 6218\n56359 84540\n94313 100000\n25805 38875\n23174 34928\n64539 96797\n58246 87378\n60025 90062\n34121 51326\n60213 90335\n42038 63198\n48505 72826\n67090 100000\n43706 65691\n45709 68677\n896 1376\n24056 36271\n85767 100000\n61816 92711\n76318 100000\n4335 6514\n10426 15691\n70529 100000\n51115 76734\n86579 100000\n63498 95237\n25904 39020\n38752 58290\n57449 86179\n34003 51157\n85107 100000\n73445 100000\n75632 100000\n44009 66134\n8585 12918\n91442 100000\n73866 100000\n16753 25245\n36648 55138\n33777 50823\n34464 51840\n51331 77053\n21352 32177\n87755 100000\n42013 63162\n47412 71192\n49103 73712\n21182 31919\n68738 100000\n98296 100000\n59307 88987\n12510 18848\n27179 40928\n11688 17614\n58613 87936\n25049 37753\n58923 88404\n41255 62032\n40920 61529\n52117 78219\n17839 26881\n97588 100000\n65368 98049\n61551 92306\n82223 100000\n11782 17755\n22760 34314\n88996 100000\n81576 100000\n72644 100000\n1805 2748\n50285 75485\n21133 31850\n41608 62549\n89237 100000\n85461 100000\n38490 57907\n84760 100000\n13713 20656\n95990 100000\n92712 100000\n87122 100000\n51225 76900\n63944 95905\n36591 55046\n17808 26833\n60719 91087\n40498 60906\n69935 100000\n84514 100000\n67839 100000\n65563 98346\n17537 26428\n93191 100000\n66101 99168\n61270 91900\n5506 8264\n27197 40954\n51820 77794\n59836 89776\n8726 13132\n27322 41145\n5077 7626\n64926 97386\n73917 100000\n71388 100000\n65667 98502\n13990 21090\n54395 81613\n89019 100000\n89980 100000\n56999 85488\n79482 100000\n11202 16860\n32745 49297\n24690 37211\n6543 9835\n56248 84362\n53003 79523\n98196 100000\n1928 2932\n89805 100000\n2627 3975\n78869 100000\n35485 53374\n57851 86781\n16420 24749\n74057 100000\n71186 100000\n86428 100000\n65545 98319\n99542 100000\n66065 99114\n77982 100000\n88029 100000\n99663 100000\n55870 83818\n14638 22066\n8398 12630\n51201 76869\n54826 82258\n90083 100000\n68740 100000\n50743 76176\n80801 100000\n34209 51452\n30 48\n27296 41105\n32950 49602\n5153 7734\n83007 100000\n97281 100000\n69653 100000\n64959 97436\n86889 100000\n88069 100000\n60366 90562\n17051 25707\n14075 21214\n80443 100000\n34861 52435\n91040 100000\n38668 58170\n55970 83967\n24643 37141\n11325 17053\n80450 100000\n32149 48407\n72022 100000\n41658 62627\n7929 11918\n96769 100000\n86087 100000\n66287 99458\n2511 3799\n76223 100000\n32583 49062\n84978 100000\n31019 46715\n9453 14221\n82192 100000\n95563 100000\n98582 100000\n73245 100000\n79579 100000\n30538 46001\n81598 100000\n54382 81594\n28537 42994\n11402 17179\n51129 76759\n32247 48558\n34212 51457\n73196 100000\n54582 81890\n45446 68266\n43599 65526\n9042 13607\n72693 100000\n31515 47462\n51982 78028\n68061 100000\n37633 56620\n43727 65720\n99133 100000\n48235 72435\n27120 40835\n33972 51108\n15076 22717\n80788 100000\n87030 100000\n80071 100000\n91004 100000\n40193 60450\n50004 75052\n55831 83756\n82360 100000\n88367 100000\n3964 5956\n13802 20790\n31879 48012\n1106 1691\n15359 23136\n93209 100000\n54819 82248\n23477 35407\n30059 45283\n19738 29758\n69171 100000\n66930 100000\n92752 100000\n61446 92151\n86907 100000\n92016 100000\n5910 8881\n7387 11099\n75985 100000\n56434 84651\n36693 55212\n29361 44233\n65701 98553\n54480 81736\n89029 100000\n62041 93048\n77513 100000\n33234 50019\n15249 22976\n45444 68264\n76186 100000\n47529 71364\n48209 72401\n52929 79410\n74306 100000\n49433 74215\n30881 46519\n98400 100000\n53550 80346\n52029 78099\n54471 81721\n16772 25278\n75709 100000\n52877 79335\n73863 100000\n51781 77735\n59759 89661\n21683 32686\n5963 8963\n6565 9864\n4157 6239\n20626 31106\n61959 92925\n2761 4177\n98624 100000\n6716 10090\n79744 100000\n87686 100000\n75084 100000\n15301 23055\n16248 24491\n71516 100000\n5058 7599\n46614 70013\n5482 8226\n96627 100000\n43287 65064\n75310 100000\n3331 5035\n29031 43741\n46224 69434\n87740 100000\n19903 30017\n43136 64832\n66585 99905\n59642 89482\n82479 100000\n30647 46161\n40560 61001\n34874 52456\n7557 11358\n78997 100000\n32485 48920\n91817 100000\n54060 81123\n83907 100000\n61995 92983\n53789 80708\n37424 56309\n81873 100000\n53689 80554\n33743 50769\n40927 61540\n12155 18309\n80462 100000\n63535 95287\n53982 81008\n83237 100000\n70141 100000\n20953 31587\n46083 69227\n4567 6869\n7708 11585\n94997 100000\n89582 100000\n47076 70693\n72351 100000\n32138 48390\n18901 28467\n72262 100000\n54574 81878\n9233 13886\n38031 57222\n35550 53472\n81542 100000\n22206 33481\n58051 87089\n34982 52622\n29242 44054\n80455 100000\n42666 64126\n85886 100000\n71382 100000\n38305 57632\n69909 100000\n91368 100000\n99177 100000\n10798 16252\n53265 79911\n2446 3695\n55452 83184\n19071 28725\n85222 100000\n9078 13657\n82055 100000\n47598 71468\n97180 100000\n53699 80570\n93902 100000\n91685 100000\n16684 25144\n60367 90563\n20950 31583\n88747 100000\n64362 96526\n96859 100000\n24196 36480\n35097 52794\n79433 100000\n75845 100000\n79182 100000\n71622 100000\n62291 93439\n63700 95535\n30878 46514\n32672 49193\n27439 41327\n57260 85876\n35836 53904\n91042 100000\n82765 100000\n46939 70489\n16733 25215\n5267 7909\n31244 47054\n18457 27805\n66897 100000\n58091 87148\n90617 100000\n29580 44552\n56555 84840\n85899 100000\n65390 98081\n1118 1710\n86393 100000\n7674 11534\n82296 100000\n81002 100000\n94059 100000\n82702 100000\n68175 100000\n23920 36057\n82856 100000\n90929 100000\n82307 100000\n26965 40606\n98084 100000\n5133 7706\n71774 100000\n89112 100000\n41656 62624\n51069 76665\n19726 29740\n76399 100000\n75178 100000\n94980 100000\n68804 100000\n27054 40740\n4470 6723\n46692 70123\n6096 9169\n34628 52080\n10227 15392\n2323 3520\n62082 93110\n27345 41184\n85216 100000\n70590 100000\n46078 69221\n29461 44371\n96470 100000\n94495 100000\n70122 100000\n28187 42458\n13778 20758\n1864 2842\n6753 10152\n28073 42283\n98804 100000\n22709 34238\n98828 100000\n73417 100000\n80684 100000\n72109 100000\n54197 81331\n2760 4175\n26377 39728\n58555 87849\n22813 34392\n27049 40731\n68480 100000\n35160 52892\n78156 100000\n69292 100000\n62478 93718\n86587 100000\n55890 83851\n75434 100000\n85929 100000\n7709 11587\n69446 100000\n83268 100000\n59359 89073\n3630 5471\n14244 21470\n2535 3837\n79759 100000\n9671 14564\n51887 77893\n87510 100000\n25804 38873\n5353 8038\n57455 86189\n69496 100000\n74639 100000\n34831 52387\n54595 81909\n61659 92472\n76556 100000\n48205 72395\n84479 100000\n67636 100000\n30760 46334\n61823 92721\n68573 100000\n1154 1763\n30381 45761\n49516 74339\n76357 100000\n95709 100000\n80301 100000\n68613 100000\n64778 97166\n56257 84377\n33330 50159\n12775 19242\n70523 100000\n74284 100000\n1909 2903\n17906 26986\n80095 100000\n78325 100000\n37483 56398\n47136 70786\n15745 23732\n99078 100000\n99714 100000\n83433 100000\n36022 54177\n24226 36532\n93633 100000\n12778 19246\n50163 75297\n90991 100000\n4924 7400\n9256 13925\n23664 35678\n63431 95137\n88235 100000\n83824 100000\n12408 18691\n64948 97419\n73121 100000\n9269 13945\n49317 74041\n7259 10899\n43810 65848\n44243 66470\n63387 95073\n52226 78375\n67974 100000\n33535 50455\n37273 56073\n55541 83320\n85649 100000\n84570 100000\n18584 27999\n84185 100000\n40210 60477\n1218 1861\n3663 5520\n35303 53102\n79214 100000\n7882 11846\n44651 67075\n23933 36076\n40211 60478\n46734 70178\n32143 48397\n36175 54407\n39332 59163\n56926 85388\n98613 100000\n29940 45099\n23781 35847\n40342 60673\n16940 25538\n88600 100000\n88274 100000\n39139 58875\n57693 86552\n25030 37720\n1957 2979\n59053 88599\n19037 28674\n99665 100000\n67573 100000\n25313 38138\n41688 62673\n12418 18706\n24084 36311\n43627 65567\n80350 100000\n45913 68973\n83770 100000\n73871 100000\n3370 5093\n21742 32778\n41747 62756\n27773 41834\n58342 87523\n54133 81231\n71003 100000\n84347 100000\n15771 23772\n60702 91059\n32285 48614\n41650 62616\n65231 97836\n77666 100000\n72315 100000\n79545 100000\n15880 23939\n77388 100000\n57448 86177\n75785 100000\n36188 54429\n70161 100000\n89440 100000\n406 626\n68917 100000\n38639 58126\n99699 100000\n16953 25560\n14407 21717\n81012 100000\n22395 33771\n78639 100000\n90811 100000\n72778 100000\n27696 41715\n93709 100000\n24130 36380\n29774 44849\n75479 100000\n54546 81835\n84235 100000\n89727 100000\n44667 67100\n78099 100000\n51810 77777\n57031 85534\n81606 100000\n49744 74670\n29552 44507\n96802 100000\n23622 35610\n33975 51113\n70710 100000\n85765 100000\n13323 20061\n24959 37610\n69343 100000\n5671 8516\n30095 45336\n76412 100000\n88690 100000\n97651 100000\n55336 83015\n14955 22542\n80059 100000\n3409 5150\n46128 69297\n50172 75309\n81840 100000\n4451 6694\n36971 55631\n93359 100000\n64023 96032\n91212 100000\n6183 9294\n3027 4573\n20818 31390\n26142 39378\n63274 94900\n9212 13853\n51146 76789\n5423 8142\n12796 19271\n27952 42101\n7638 11479\n68874 100000\n10687 16080\n47993 72069\n17083 25756\n22592 34065\n15104 22762\n21848 32935\n85148 100000\n86518 100000\n64588 96872\n7692 11559\n40367 60712\n47120 70763\n45565 68453\n62925 94375\n20501 30921\n27099 40806\n56970 85449\n76164 100000\n41701 62691\n27464 41362\n90772 100000\n35277 53066\n23041 34736\n49691 74591\n7824 11758\n94710 100000\n51623 77503\n36481 54882\n58434 87672\n16608 25031\n25421 38300\n60017 90049\n16738 25223\n36083 54270\n88514 100000\n27768 41825\n73084 100000\n61452 92160\n83557 100000\n59794 89713\n85021 100000\n84745 100000\n47805 71786\n45282 68023\n89425 100000\n10692 16089\n90463 100000\n34898 52493\n83986 100000\n3935 5913\n3647 5495\n96267 100000\n77233 100000\n99797 100000\n47309 71035\n70197 100000\n49683 74578\n91240 100000\n67435 100000\n11166 16802\n84622 100000\n39804 59883\n67610 100000\n10721 16134\n13251 19957\n39231 59010\n7242 10876\n96908 100000\n47353 71105\n65117 97670\n18694 28164\n65297 97936\n6539 9828\n33917 51024\n78924 100000\n24584 37058\n99802 100000\n35195 52950\n15779 23785\n22256 33556\n36666 55167\n34050 51228\n69308 100000\n47904 71934\n72951 100000\n25678 38679\n70788 100000\n80452 100000\n84492 100000\n53354 80044\n90504 100000\n84985 100000\n35165 52901\n29346 44214\n61654 92465\n2073 3149\n72278 100000\n77750 100000\n63041 94555\n10897 16400\n31710 47765\n12854 19351\n19787 29834\n37778 56843\n25484 38401\n94393 100000\n54934 82412\n82240 100000\n94581 100000\n53609 80432\n93805 100000\n75086 100000\n40673 61167\n99839 100000\n5587 8390\n11736 17690\n73622 100000\n78926 100000\n94151 100000\n27091 40795\n70737 100000\n39404 59271\n56433 84649\n91228 100000\n78790 100000\n31820 47922\n13120 19759\n93318 100000\n99849 100000\n64558 96827\n18699 28172\n29867 44987\n14014 21124\n61720 92564\n20889 31495\n86156 100000\n11074 16665\n23004 34679\n12322 18559\n77135 100000\n6762 10164\n27180 40930\n77967 100000\n78193 100000\n84139 100000\n81570 100000\n3093 4675\n87612 100000\n64071 96108\n10694 16091\n71434 100000\n51373 77118\n37621 56602\n98161 100000\n71947 100000\n73428 100000\n30075 45305\n58426 87660\n16278 24538\n68892 100000\n50115 75221\n20997 31652\n53683 80543\n86928 100000\n67111 100000\n21079 31774\n55952 83942\n96905 100000\n63563 95330\n86790 100000\n57189 85767\n11065 16648\n80271 100000\n57342 86014\n21969 33118\n79707 100000\n22776 34337\n17268 26040\n9134 13737\n23863 35974\n28380 42752\n8972 13504\n11324 17051\n17800 26820\n68264 100000\n12696 19128\n50041 75108\n50171 75308\n74899 100000\n9123 13722\n99159 100000\n31162 46936\n14634 22061\n96428 100000\n91448 100000\n81292 100000\n10069 15162\n19062 28710\n80998 100000\n2931 4432\n87566 100000\n20873 31474\n71970 100000\n30258 45578\n53474 80226\n1445 2211\n30880 46517\n95298 100000\n7978 11994\n44118 66291\n309 475\n42330 63619\n8113 12201\n53557 80354\n56116 84177\n96765 100000\n92091 100000\n24081 36306\n41353 62171\n96747 100000\n24590 37065\n68795 100000\n92300 100000\n67550 100000\n5005 7515\n91511 100000\n31887 48025\n59719 89602\n56558 84843\n78615 100000\n31183 46967\n86816 100000\n55134 82711\n48547 72886\n28341 42702\n55247 82878\n30305 45651\n3564 5379\n43351 65163\n50808 76277\n92893 100000\n99555 100000\n15748 23737\n28415 42809\n85515 100000\n38067 57277\n83883 100000\n39285 59089\n43577 65494\n25230 38015\n95116 100000\n93867 100000\n81376 100000\n4121 6185\n97332 100000\n84279 100000\n17399 26229\n16785 25300\n61965 92932\n27069 40763\n63626 95428\n4938 7417\n16274 24531\n6280 9440\n95407 100000\n13952 21032\n1803 2745\n44909 67471\n19539 29448\n74115 100000\n63209 94802\n67004 100000\n94878 100000\n64826 97237\n19202 28929\n73989 100000\n18162 27362\n27232 41008\n71582 100000\n5955 8950\n89524 100000\n56292 84431\n85647 100000\n82390 100000\n33282 50090\n53635 80470\n89991 100000\n94488 100000\n29473 44389\n9726 14648\n37660 56656\n29251 44069\n52728 79107\n46615 70014\n18537 27929\n72972 100000\n82486 100000\n79629 100000\n97221 100000\n89363 100000\n68837 100000\n48720 73149\n52337 78544\n58179 87280\n58076 87128\n6494 9762\n63681 95509\n960 1469\n92833 100000\n1949 2966\n92136 100000\n89607 100000\n83193 100000\n14960 22550\n82152 100000\n17771 26781\n71264 100000\n21971 33121\n30537 46000\n76981 100000\n99644 100000\n7166 10760\n41057 61739\n12756 19218\n57787 86687\n60630 90955\n73923 100000\n37553 56501\n43230 64975\n9475 14257\n3604 5435\n20131 30361\n69384 100000\n67317 100000\n91509 100000\n69102 100000\n36796 55369\n64800 97197\n11037 16605\n6347 9540\n11353 17098\n34733 52239\n36765 55322\n28317 42660\n303 464\n35576 53513\n54298 81477\n59877 89840\n38181 57446\n93595 100000\n64069 96104\n31398 47284\n85868 100000\n12415 18701\n16374 24679\n20891 31498\n74359 100000\n42356 63659\n93015 100000\n2883 4355\n27357 41202\n76438 100000\n8704 13099\n82621 100000\n4569 6871\n76215 100000\n64059 96088\n82067 100000\n16667 25116\n43260 65021\n1068 1629\n8228 12374\n61969 92938\n92797 100000\n98305 100000\n81955 100000\n7087 10647\n38467 57872\n36642 55130\n90387 100000\n82015 100000\n65391 98083\n4268 6408\n64924 97384\n15450 23272\n90403 100000\n4276 6421\n39358 59204\n95738 100000\n7794 11712\n7390 11105\n69 109\n88460 100000\n3347 5060\n71828 100000\n93451 100000\n48447 72741\n70188 100000\n19700 29699\n99517 100000\n46765 70225\n81670 100000\n87617 100000\n22562 34012\n41313 62115\n12874 19380\n39051 58739\n87564 100000\n30472 45903\n34820 52371\n37699 56718\n54356 81556\n66899 100000\n25560 38512\n6652 9999\n92853 100000\n98290 100000\n35913 54015\n52988 79499\n4907 7374\n62442 93666\n34932 52547\n93482 100000\n6840 10275\n31101 46844\n97165 100000\n10890 16388\n26706 40219\n4279 6425\n95910 100000\n43411 65252\n80593 100000\n35811 53866\n41356 62175\n20588 31051\n70915 100000\n8850 13318\n38795 58353\n68368 100000\n65933 98915\n47093 70722\n84428 100000\n14260 21495\n34176 51399\n78329 100000\n60188 90297\n74064 100000\n64647 96959\n85632 100000\n28895 43541\n86144 100000\n82797 100000\n38817 58383\n82098 100000\n8707 13104\n88583 100000\n3872 5823\n60252 90394\n36850 55450\n81661 100000\n37655 56649\n8412 12653\n58692 88057\n91735 100000\n78735 100000\n5190 7788\n51643 77529\n99495 100000\n86675 100000\n650 996\n85314 100000\n44461 66791\n745 1145\n33139 49876\n59762 89667\n44917 67482\n74098 100000\n37287 56092\n19672 29659\n98430 100000\n44687 67129\n88642 100000\n86263 100000\n55217 82833\n94606 100000\n29151 43918\n33764 50801\n11024 16586\n55132 82708\n15339 23107\n59601 89423\n73261 100000\n75821 100000\n81080 100000\n57058 85574\n37447 56346\n78747 100000\n14490 21844\n30302 45646\n3913 5880\n50645 76023\n85336 100000\n19970 30121\n25777 38832\n86074 100000\n255 391\n85876 100000\n28011 42186\n66936 100000\n10157 15294\n62553 93823\n83687 100000\n45525 68386\n73204 100000\n5813 8735\n69494 100000\n90062 100000\n24134 36385\n4533 6818\n54131 81228\n22056 33246\n47989 72064\n11981 18053\n83843 100000\n17762 26766\n134 202\n38128 57363\n7345 11034\n23285 35101\n83848 100000\n9855 14836\n87398 100000\n69430 100000\n82068 100000\n27553 41497\n67158 100000\n65965 98963\n10083 15182\n27113 40825\n6684 10044\n43023 64661\n8783 13218\n81532 100000\n22942 34586\n95924 100000\n52277 78454\n81969 100000\n78531 100000\n27329 41158\n34016 51176\n87847 100000\n71033 100000\n89305 100000\n60176 90276\n96178 100000\n17598 26518\n32960 49615\n12216 18397\n6556 9853\n77040 100000\n53291 79949\n37887 57002\n43238 64987\n15733 23713\n46296 69538\n57406 86116\n20456 30848\n86829 100000\n74391 100000\n65483 98223\n63352 95017\n64377 96546\n61894 92832\n96847 100000\n648 993\n12346 18596\n90365 100000\n12382 18652\n28607 43104\n85641 100000\n38504 57926\n71727 100000\n27127 40843\n75299 100000\n9905 14916\n82776 100000\n5632 8454\n12524 18868\n7129 10704\n81407 100000\n22564 34015\n5129 7702\n36502 54914\n3098 4683\n50376 75624\n90059 100000\n80110 100000\n29778 44856\n27362 41209\n95967 100000\n13690 20623\n44560 66941\n47986 72060\n39009 58677\n1869 2848\n17229 25980\n59651 89496\n56980 85463\n63237 94843\n8538 12843\n9255 13923\n39162 58908\n35138 52854\n65506 98262\n31641 47659\n31722 47782\n27940 42084\n55110 82673\n61684 92510\n36933 55578\n56694 85047\n82644 100000\n10974 16513\n36617 55093\n65445 98165\n90015 100000\n44233 66459\n64330 96483\n49120 73743\n86894 100000\n39064 58760\n26623 40084\n962 1472\n5382 8083\n44837 67357\n10385 15633\n64155 96231\n64997 97488\n8995 13540\n31984 48160\n4078 6125\n16026 24151\n23564 35531\n23808 35886\n8475 12742\n98878 100000\n51958 77995\n97890 100000\n7662 11514\n52843 79282\n49376 74127\n43447 65302\n19023 28651\n44365 66648\n8564 12882\n19311 29104\n81267 100000\n22492 33914\n19520 29422\n52906 79375\n2885 4359\n86312 100000\n73801 100000\n53990 81020\n743 1142\n85597 100000\n34110 51312\n60387 90592\n78220 100000\n64491 96719\n32344 48704\n80767 100000\n76965 100000\n82221 100000\n34522 51928\n40662 61154\n36446 54826\n97186 100000\n28724 43286\n3171 4796\n92887 100000\n19476 29357\n8452 12711\n81044 100000\n3133 4735\n94314 100000\n37828 56913\n39382 59237\n77125 100000\n82095 100000\n99774 100000\n43013 64646\n14108 21265\n6416 9642\n27277 41077\n65881 98834\n57254 85868\n35245 53020\n52167 78290\n12591 18965\n33591 50539\n60544 90824\n41527 62430\n48441 72732\n72321 100000\n34260 51524\n28203 42485\n88859 100000\n26902 40517\n76096 100000\n21362 32194\n31157 46929\n83703 100000\n33 53\n23089 34802\n20275 30575\n36517 54934\n69488 100000\n20319 30633\n44317 66579\n90548 100000\n75406 100000\n89983 100000\n50372 75618\n1558 2374\n20811 31380\n21533 32451\n69915 100000\n36963 55619\n93370 100000\n84027 100000\n20867 31465\n56539 84816\n76876 100000\n20046 30234\n3475 5250\n64829 97242\n31806 47901\n53647 80490\n62595 93887\n97974 100000\n20600 31069\n18430 27759\n73156 100000\n24100 36334\n94914 100000\n71410 100000\n25620 38600\n96209 100000\n24093 36323\n51642 77527\n61985 92965\n59523 89302\n78785 100000\n98427 100000\n84138 100000\n51048 76635\n68539 100000\n98667 100000\n95381 100000\n74447 100000\n11301 17018\n78194 100000\n8898 13387\n41971 63104\n11771 17741\n72217 100000\n84551 100000\n99043 100000\n53968 80990\n60748 91132\n27009 40673\n42981 64601\n33310 50129\n16884 25453\n25637 38621\n89547 100000\n98039 100000\n55162 82747\n42853 64405\n12899 19419\n24993 37664\n4129 6197\n30944 46611\n39623 59603\n6750 10147\n72926 100000\n11816 17806\n33114 49841\n65287 97920\n82774 100000\n33736 50757\n78056 100000\n99407 100000\n73972 100000\n65786 98687\n85525 100000\n23035 34728\n30523 45977\n35439 53305\n26555 39985\n79973 100000\n7238 10869\n80100 100000\n12670 19089\n71765 100000\n81707 100000\n83298 100000\n74096 100000\n7558 11359\n17206 25945\n59633 89470\n75780 100000\n12677 19100\n38304 57630\n78179 100000\n42627 64069\n65998 99013\n9793 14742\n34771 52296\n59143 88734\n98416 100000\n14126 21290\n57932 86905\n49615 74481\n52105 78200\n12187 18355\n32823 49410\n64107 96163\n90970 100000\n52007 78065\n11347 17088\n82053 100000\n8814 13268\n59455 89205\n95124 100000\n25619 38598\n71296 100000\n81268 100000\n60156 90247\n67203 100000\n26488 39892\n14890 22444\n9646 14521\n90121 100000\n93611 100000\n44719 67178\n96156 100000\n24414 36817\n98094 100000\n47283 70997\n38686 58194\n72600 100000\n76812 100000\n51426 77198\n75061 100000\n41258 62036\n80273 100000\n54715 82092\n57707 86571\n47894 71915\n9512 14318\n73003 100000\n67551 100000\n76481 100000\n65021 97526\n5638 8465\n32682 49209\n11009 16565\n85119 100000\n68094 100000\n18817 28344\n13505 20344\n17432 26279\n47469 71272\n97058 100000\n32211 48504\n58167 87262\n77299 100000\n32807 49389\n34577 52005\n39813 59895\n62030 93032\n31128 46882\n24266 36593\n84896 100000\n71599 100000\n84549 100000\n98616 100000\n5351 8034\n49567 74408\n55853 83793\n43268 65032\n44609 67014\n69641 100000\n12147 18296\n39524 59447\n45256 67982\n7274 10926\n76087 100000\n50116 75223\n73552 100000\n98122 100000\n35935 54046\n88204 100000\n87331 100000\n87631 100000\n35965 54094\n33596 50546\n58490 87753\n62489 93732\n81013 100000\n87058 100000\n70724 100000\n62968 94443\n63679 95506\n17621 26552\n28324 42674\n16303 24577\n71400 100000\n79250 100000\n51882 77885\n71937 100000\n93988 100000\n93206 100000\n73325 100000\n13574 20452\n72598 100000\n32221 48519\n42194 63430\n83200 100000\n94429 100000\n47979 72050\n98043 100000\n9964 15003\n6378 9582\n60540 90818\n95633 100000\n98465 100000\n92002 100000\n28043 42235\n94384 100000\n44571 66960\n18456 27804\n90290 100000\n3374 5098\n54865 82311\n28385 42760\n11084 16679\n44100 66266\n89205 100000\n52244 78405\n22169 33425\n29978 45157\n10655 16030\n10983 16525\n89688 100000\n53473 80224\n58063 87106\n2583 3908\n59192 88811\n55194 82798\n13525 20375\n38779 58331\n17366 26178\n41071 61760\n57085 85615\n20548 30994\n10216 15376\n21764 32812\n75242 100000\n84916 100000\n51560 77403\n32989 49657\n58010 87025\n57989 86995\n89690 100000\n84686 100000\n30807 46407\n48787 73252\n90946 100000\n89218 100000\n76645 100000\n72348 100000\n89267 100000\n62146 93212\n55237 82861\n29463 44373\n16954 25562\n28643 43158\n85235 100000\n50261 75449\n28818 43430\n10253 15436\n33693 50694\n98764 100000\n87128 100000\n85389 100000\n71761 100000\n29692 44719\n417 642\n63376 95058\n74676 100000\n18348 27642\n88500 100000\n2542 3849\n27779 41842\n89777 100000\n28862 43496\n25216 37995\n77406 100000\n22252 33549\n86111 100000\n10236 15408\n25112 37841\n64986 97473\n13387 20160\n9627 14494\n49657 74540\n60467 90712\n10402 15658\n13332 20074\n86495 100000\n11655 17561\n67037 100000\n25238 38027\n56906 85356\n49278 73981\n40634 61107\n15830 23866\n14256 21490\n58105 87170\n16290 24557\n61128 91686\n82471 100000\n3561 5375\n11051 16630\n26866 40460\n45833 68855\n55596 83404\n69149 100000\n61506 92239\n9469 14248\n12791 19264\n79237 100000\n38079 57294\n18006 27128\n99423 100000\n26123 39351\n34818 52368\n17985 27099\n80542 100000\n28447 42861\n71117 100000\n75867 100000\n55252 82885\n9725 14647\n42390 63713\n79622 100000\n85456 100000\n12958 19507\n57897 86855\n84992 100000\n57454 86187\n54679 82037\n61898 92838\n98737 100000\n52395 78629\n46146 69322\n85354 100000\n78118 100000\n28591 43079\n40628 61099\n24258 36581\n71442 100000\n18769 28274\n59712 89593\n28408 42797\n82337 100000\n51809 77775\n22198 33470\n25507 38437\n73423 100000\n96187 100000\n74511 100000\n61576 92342\n26105 39321\n56989 85473\n91503 100000\n71772 100000\n67323 100000\n17520 26405\n28491 42920\n65474 98209\n90308 100000\n35794 53840\n23055 34757\n60211 90331\n16050 24189\n56250 84366\n29784 44864\n94434 100000\n19069 28722\n84600 100000\n88728 100000\n92673 100000\n29719 44762\n23593 35571\n19802 29856\n52850 79293\n11873 17893\n75284 100000\n50009 75058\n19316 29111\n46115 69278\n26009 39171\n35879 53967\n48088 72213\n50476 75777\n45547 68424\n29937 45094\n74629 100000\n20265 30562\n61133 91695\n52051 78129\n11641 17540\n77069 100000\n2428 3666\n25711 38732\n25061 37771\n58142 87229\n36073 54257\n61157 91734\n80170 100000\n510 780\n94631 100000\n21510 32418\n8247 12403\n96098 100000\n26526 39946\n81392 100000\n14568 21959\n40032 60218\n49310 74030\n78956 100000\n73475 100000\n59884 89854\n22554 34000\n24415 36819\n27347 41188\n99675 100000\n67371 100000\n65418 98128\n16095 24256\n52389 78619\n14589 21990\n7219 10840\n66554 99856\n51111 76727\n922 1411\n36521 54939\n6687 10048\n50686 76083\n54160 81274\n6248 9391\n63581 95355\n82955 100000\n63328 94983\n9957 14991\n730 1123\n36368 54705\n87916 100000\n31914 48063\n93129 100000\n95936 100000\n58509 87783\n9507 14311\n83591 100000\n9242 13902\n69740 100000\n34938 52557\n49850 74825\n37167 55924\n30900 46546\n36658 55155\n94730 100000\n55332 83011\n9694 14598\n93248 100000\n12916 19442\n53882 80852\n60411 90626\n68109 100000\n62664 93986\n40693 61197\n89570 100000\n77494 100000\n71943 100000\n17461 26316\n39376 59230\n88683 100000\n55204 82814\n65182 97763\n77958 100000\n14427 21752\n98690 100000\n62360 93540\n76663 100000\n80276 100000\n77418 100000\n83819 100000\n6769 10173\n4312 6482\n30594 46083\n62495 93741\n4394 6599\n63606 95397\n93039 100000\n37669 56673\n34265 51534\n69842 100000\n28274 42594\n83026 100000\n58812 88238\n94804 100000\n72867 100000\n16366 24668\n44689 67132\n44520 66874\n57280 85908\n75055 100000\n21001 31660\n29143 43905\n82844 100000\n95485 100000\n58257 87392\n88400 100000\n42575 63994\n91632 100000\n47903 71932\n48644 73029\n6103 9177\n96324 100000\n77471 100000\n15844 23887\n5304 7963\n20928 31553\n42249 63511\n26724 40248\n87175 100000\n60893 91346\n58085 87140\n60838 91265\n44325 66589\n46675 70101\n78521 100000\n84994 100000\n41899 62994\n46005 69108\n19798 29850\n21605 32569\n24649 37151\n60514 90783\n43213 64949\n84490 100000\n54014 81058\n378 579\n69662 100000\n44111 66281\n17198 25935\n48160 72326\n53973 80995\n84920 100000\n85898 100000\n66849 100000\n15490 23336\n15718 23689\n23361 35221\n12375 18642\n28090 42307\n88999 100000\n9582 14430\n64611 96902\n52812 79236\n32695 49228\n82065 100000\n42389 63712\n99322 100000\n15715 23686\n11437 17228\n89567 100000\n41550 62464\n84346 100000\n77290 100000\n80055 100000\n10843 16320\n54729 82112\n54557 81852\n33799 50854\n12635 19038\n4102 6158\n3443 5203\n72383 100000\n67665 100000\n74117 100000\n23256 35053\n48423 72706\n44482 66820\n75235 100000\n71979 100000\n90908 100000\n48781 73242\n37259 56053\n5198 7799\n32283 48611\n22043 33227\n34141 51352\n15811 23837\n37747 56794\n21256 32028\n68908 100000\n96433 100000\n52559 78867\n69401 100000\n54346 81541\n45589 68490\n36349 54675\n99417 100000\n77157 100000\n56327 84486\n2311 3501\n51467 77259\n61308 91954\n15235 22957\n96649 100000\n98078 100000\n69053 100000\n45952 69032\n2143 3248\n80031 100000\n91916 100000\n43196 64924\n38496 57914\n2915 4407\n33014 49694\n84694 100000\n35264 53047\n45972 69061\n88731 100000\n81299 100000\n21777 32832\n20040 30223\n91696 100000\n53277 79929\n57075 85600\n86745 100000\n54115 81206\n74725 100000\n54793 82208\n15953 24042\n4759 7146\n58975 88482\n7533 11318\n88599 100000\n70499 100000\n61198 91790\n14062 21191\n49139 73772\n73144 100000\n61476 92197\n88378 100000\n63098 94639\n28108 42336\n75260 100000\n33441 50320\n90984 100000\n74930 100000\n84317 100000\n94291 100000\n25166 37923\n27096 40802\n42634 64080\n73498 100000\n32537 48997\n26578 40016\n33677 50668\n28916 43572\n95626 100000\n17576 26484\n3839 5777\n67416 100000\n28511 42951\n16946 25548\n46862 70373\n84269 100000\n30669 46195\n51946 77980\n29019 43723\n66237 99382\n39545 59478\n66603 99932\n76524 100000\n77853 100000\n26875 40475\n35646 53620\n72311 100000\n26378 39730\n40543 60973\n46949 70504\n58287 87436\n58728 88113\n43578 65495\n70179 100000\n41606 62546\n35574 53509\n18607 28034\n33666 50649\n40371 60716\n55674 83518\n98735 100000\n92360 100000\n45527 68389\n19567 29494\n36707 55233\n70583 100000\n95369 100000\n63545 95303\n84338 100000\n34357 51678\n57573 86371\n55597 83405\n27822 41905\n80385 100000\n52363 78580\n36058 54233\n55356 83040\n11517 17353\n52298 78488\n26266 39563\n62858 94276\n18095 27266\n84224 100000\n57123 85669\n47704 71627\n53956 80971\n62768 94143\n14550 21934\n19630 29590\n75218 100000\n55950 83938\n12407 18690\n59972 89980\n61071 91605\n37062 55763\n62971 94446\n17966 27070\n12572 18938\n50941 76475\n62914 94359\n86260 100000\n50996 76557\n19084 28748\n22008 33174\n81510 100000\n49255 73948\n4362 6552\n24101 36336\n42185 63415\n60326 90504\n67859 100000\n37248 56037\n12960 19509\n83959 100000\n90723 100000\n99162 100000\n98496 100000\n29891 45027\n88771 100000\n90547 100000\n69262 100000\n95318 100000\n90969 100000\n90757 100000\n65576 98368\n31819 47921\n99112 100000\n66660 100000\n84846 100000\n39266 59060\n95616 100000\n68651 100000\n15971 24067\n20451 30839\n47960 72021\n93342 100000\n50072 75155\n45146 67822\n4015 6031\n38923 58547\n64305 96448\n38094 57316\n20130 30360\n65121 97676\n50438 75723\n27845 41940\n4483 6741\n42845 64391\n24938 37578\n72419 100000\n14762 22255\n52137 78248\n72622 100000\n28053 42250\n67383 100000\n35401 53249\n61010 91518\n18337 27628\n34426 51783\n34677 52158\n43934 66030\n56956 85431\n89669 100000\n73430 100000\n45601 68508\n22849 34446\n28944 43614\n43847 65898\n3585 5408\n76188 100000\n60863 91303\n35531 53442\n4090 6140\n72567 100000\n59608 89434\n40908 61512\n31959 48126\n97018 100000\n95949 100000\n27578 41535\n51383 77133\n18257 27503\n48302 72531\n34836 52396\n55643 83473\n50526 75848\n17639 26574\n51730 77661\n54828 82260\n79691 100000\n80539 100000\n15113 22777\n49144 73781\n1057 1613\n92750 100000\n70385 100000\n78172 100000\n71623 100000\n61020 91530\n21475 32362\n84637 100000\n46150 69327\n24183 36458\n99183 100000\n61940 92899\n72797 100000\n67341 100000\n49929 74938\n19575 29506\n59240 88884\n10386 15635\n92783 100000\n99721 100000\n51360 77100\n71177 100000\n77400 100000\n5044 7579\n93241 100000\n93818 100000\n55805 83715\n8110 12196\n93576 100000\n14342 21612\n60094 90160\n81639 100000\n31537 47497\n30604 46095\n75077 100000\n61166 91748\n65081 97615\n18206 27431\n75457 100000\n34111 51313\n20407 30770\n94628 100000\n82700 100000\n28795 43395\n44841 67363\n21647 32631\n73309 100000\n30884 46523\n68221 100000\n74974 100000\n89709 100000\n9637 14509\n89131 100000\n402 619\n72983 100000\n50587 75942\n58057 87098\n9053 13624\n92158 100000\n43968 66077\n47834 71830\n94826 100000\n83503 100000\n36168 54396\n51855 77841\n72838 100000\n65227 97831\n73924 100000\n97696 100000\n12030 18128\n23348 35201\n88241 100000\n65037 97551\n65607 98415\n96629 100000\n42608 64044\n73387 100000\n57970 86967\n66236 99380\n61507 92241\n33892 50987\n40568 61013\n22156 33407\n25497 38421\n51055 76646\n6740 10132\n81463 100000\n46703 70136\n23243 35031\n49026 73599\n91607 100000\n6104 9178\n73867 100000\n87935 100000\n96176 100000\n53241 79878\n58600 87915\n96661 100000\n79675 100000\n58083 87138\n48703 73122\n91829 100000\n84945 100000\n21419 32274\n56256 84375\n40933 61548\n40808 61364\n76130 100000\n12013 18103\n12833 19325\n46253 69476\n52996 79512\n521 797\n60957 91439\n45962 69046\n3811 5738\n44430 66749\n4642 6973\n61222 91826\n97369 100000\n26374 39724\n29949 45113\n36649 55140\n38392 57763\n98280 100000\n87675 100000\n34683 52167\n89054 100000\n11339 17076\n67650 100000\n12484 18809\n63815 95719\n67188 100000\n16707 25179\n78600 100000\n71743 100000\n33907 51010\n27231 41006\n37195 55961\n10397 15651\n97737 100000\n1743 2652\n91295 100000\n32172 48443\n73060 100000\n42980 64600\n95806 100000\n3566 5381\n97965 100000\n69212 100000\n77706 100000\n40886 61481\n72367 100000\n72581 100000\n70505 100000\n39222 58997\n7451 11197\n19900 30012\n93031 100000\n38719 58243\n74803 100000\n43915 65998\n54768 82174\n2614 3954\n28731 43297\n2944 4449\n42524 63915\n95536 100000\n67884 100000\n66505 99786\n70073 100000\n86723 100000\n42370 63681\n22899 34523\n6154 9250\n96131 100000\n67691 100000\n60852 91288\n1764 2685\n19433 29296\n78801 100000\n3488 5274\n72457 100000\n30843 46458\n74934 100000\n18215 27443\n70091 100000\n44494 66839\n77443 100000\n97308 100000\n28762 43345\n6173 9277\n45717 68687\n75588 100000\n39289 59095\n64668 96990\n92110 100000\n22031 33209\n32542 49004\n97751 100000\n41151 61878\n46891 70418\n66976 100000\n62562 93836\n2997 4529\n98903 100000\n88114 100000\n41646 62609\n15574 23467\n27249 41032\n56083 84126\n54959 82447\n14068 21202\n22265 33570\n19934 30066\n93782 100000\n77364 100000\n6270 9426\n15396 23191\n11529 17372\n31735 47800\n89424 100000\n43589 65510\n15571 23462\n47560 71412\n59095 88661\n80715 100000\n48939 73472\n46942 70494\n67831 100000\n12409 18692\n66482 99750\n95533 100000\n69550 100000\n33778 50825\n13913 20963\n34481 51862\n11291 17003\n2003 3047\n10194 15345\n37521 56455\n5224 7840\n31700 47751\n41207 61962\n31550 47518\n53671 80527\n7206 10820\n88199 100000\n88888 100000\n24921 37551\n40308 60623\n23349 35203\n95310 100000\n72131 100000\n77 118\n30839 46452\n6240 9378\n19632 29592\n67857 100000\n49593 74448\n21696 32708\n63639 95444\n90598 100000\n12852 19349\n23522 35472\n92024 100000\n5549 8332\n36822 55406\n5996 9013\n35301 53100\n86535 100000\n94794 100000\n44230 66453\n75868 100000\n95031 100000\n16475 24829\n1119 1711\n25253 38050\n3675 5536\n66231 99370\n35454 53328\n19411 29259\n55364 83051\n74906 100000\n97862 100000\n76781 100000\n55463 83200\n94513 100000\n53457 80200\n11221 16889\n72551 100000\n81128 100000\n28069 42277\n39607 59577\n18778 28286\n5372 8069\n9137 13742\n78430 100000\n77117 100000\n25185 37950\n21461 32342\n14389 21687\n25832 38915\n55866 83813\n17153 25867\n33377 50226\n18117 27297\n13334 20077\n27608 41583\n62492 93738\n45347 68125\n85393 100000\n43977 66089\n80381 100000\n57687 86543\n46755 70210\n24860 37460\n79311 100000\n70246 100000\n40809 61365\n16720 25198\n64299 96442\n34722 52221\n83214 100000\n93780 100000\n67635 100000\n8659 13033\n15926 24006\n21113 31822\n64659 96976\n59997 90019\n9566 14407\n60493 90755\n49907 74905\n68663 100000\n51764 77712\n25013 37695\n19758 29791\n13855 20873\n28070 42279\n60344 90530\n44696 67143\n21768 32818\n10241 15416\n67638 100000\n6275 9434\n60452 90689\n69166 100000\n61657 92468\n82721 100000\n81809 100000\n9569 14411\n46232 69444\n7943 11941\n19922 30047\n3636 5479\n16517 24896\n9426 14182\n73237 100000\n95024 100000\n91860 100000\n3281 4960\n37506 56432\n38636 58123\n59671 89525\n35773 53807\n27843 41938\n70223 100000\n35062 52742\n59667 89520\n56537 84812\n14473 21820\n59370 89092\n71988 100000\n71801 100000\n20687 31197\n40562 61004\n65451 98172\n18309 27586\n47747 71695\n79143 100000\n87692 100000\n27589 41551\n2571 3891\n14977 22573\n45208 67915\n76828 100000\n71698 100000\n77432 100000\n95274 100000\n89453 100000\n15241 22966\n68242 100000\n40992 61638\n43170 64882\n31368 47234\n81590 100000\n88605 100000\n7491 11256\n18744 28235\n45949 69027\n34665 52137\n21098 31799\n81322 100000\n69369 100000\n59800 89723\n92955 100000\n85583 100000\n19763 29797\n74139 100000\n99442 100000\n33344 50180\n5652 8485\n74775 100000\n41225 61988\n71273 100000\n80744 100000\n3736 5626\n73806 100000\n49584 74432\n76997 100000\n65850 98786\n49796 74749\n63042 94557\n93100 100000\n26312 39629\n67142 100000\n62339 93509\n60690 91042\n81861 100000\n40004 60176\n69569 100000\n97225 100000\n76608 100000\n42003 63149\n83203 100000\n38560 58004\n8205 12340\n44089 66250\n17996 27115\n92236 100000\n3759 5660\n1266 1929\n71673 100000\n69280 100000\n79815 100000\n22163 33416\n1956 2978\n75447 100000\n23480 35412\n31439 47342\n27081 40781\n88693 100000\n9673 14567\n21680 32682\n71674 100000\n54586 81897\n52648 78994\n1633 2487\n32454 48873\n46645 70058\n15 24\n28568 43046\n14474 21822\n90935 100000\n54208 81345\n4381 6579\n92751 100000\n72816 100000\n26491 39898\n13965 21053\n50844 76326\n24674 37189\n65632 98449\n46522 69875\n29855 44967\n78416 100000\n68500 100000\n89849 100000\n76198 100000\n25269 38077\n34434 51795\n2185 3311\n25374 38227\n59257 88907\n80614 100000\n9863 14848\n39052 58741\n14947 22532\n82259 100000\n47290 71006\n74531 100000\n20039 30221\n33994 51141\n53433 80164\n7735 11626\n63806 95705\n5152 7733\n78217 100000\n69189 100000\n58295 87450\n18963 28561\n35505 53403\n1995 3033\n11352 17096\n15256 22987\n59068 88623\n3802 5725\n32115 48353\n8023 12064\n32228 48531\n21087 31786\n65082 97617\n47470 71273\n85598 100000\n1673 2546\n81577 100000\n36160 54384\n61691 92522\n24671 37183\n73452 100000\n72623 100000\n74458 100000\n57125 85673\n57220 85818\n93195 100000\n42872 64434\n97055 100000\n47349 71099\n74297 100000\n59211 88841\n42830 64368\n46829 70327\n10368 15606\n89454 100000\n46457 69780\n95572 100000\n48311 72545\n98751 100000\n10990 16534\n96276 100000\n61439 92141\n74273 100000\n52865 79316\n83223 100000\n91459 100000\n65437 98153\n16236 24478\n3524 5324\n66674 100000\n74776 100000\n81892 100000\n96237 100000\n76124 100000\n77002 100000\n71288 100000\n35349 53171\n96460 100000\n39999 60169\n98034 100000\n76047 100000\n83743 100000\n62039 93044\n8178 12301\n87871 100000\n78881 100000\n26881 40484\n62879 94308\n31096 46836\n62510 93762\n46016 69124\n22848 34445\n80506 100000\n39089 58797\n18155 27353\n51413 77178\n48225 72422\n6430 9661\n10609 15959\n69122 100000\n16235 24476\n84856 100000\n39969 60126\n47796 71772\n35987 54126\n86698 100000\n26290 39597\n56270 84395\n29133 43891\n65058 97582\n34736 52243\n5192 7790\n34929 52542\n29320 44173\n88312 100000\n83620 100000\n35459 53336\n33754 50786\n36706 55231\n11809 17795\n29462 44372\n61656 92467\n87676 100000\n8261 12421\n903 1386\n99997 100000\n54142 81245\n19493 29384\n62089 93122\n46672 70097\n27192 40949\n45766 68759\n17807 26831\n47975 72043\n71676 100000\n58341 87522\n88905 100000\n84072 100000\n81875 100000\n36966 55624\n14548 21932\n64113 96174\n33477 50371\n17448 26299\n6892 10351\n96972 100000\n14553 21937\n81985 100000\n9159 13777\n3931 5906\n86502 100000\n47643 71534\n80126 100000\n63915 95862\n82553 100000\n81858 100000\n75970 100000\n12783 19253\n97094 100000\n48019 72108\n6641 9979\n73517 100000\n35578 53516\n53459 80203\n72757 100000\n84767 100000\n89883 100000\n2439 3683\n97197 100000\n10969 16505\n880 1351\n90985 100000\n89381 100000\n76772 100000\n68643 100000\n81945 100000\n98670 100000\n6210 9334\n79856 100000\n63136 94695\n5834 8766\n80458 100000\n33622 50584\n26367 39712\n71655 100000\n64099 96151\n88866 100000\n35815 53872\n17710 26684\n96842 100000\n13846 20859\n22055 33244\n48604 72967\n50308 75521\n40241 60522\n54391 81608\n61567 92331\n97544 100000\n40715 61228\n79491 100000\n82570 100000\n78540 100000\n38682 58188\n52705 79073\n178 271\n79203 100000\n99547 100000\n36619 55095\n14005 21112\n39886 60002\n66271 99435\n25430 38317\n30577 46059\n81723 100000\n3097 4682\n16010 24126\n33023 49708\n61391 92072\n22209 33485\n61614 92398\n47452 71249\n22786 34352\n96192 100000\n98752 100000\n73727 100000\n17474 26335\n23455 35370\n59219 88854\n18534 27924\n36872 55484\n18327 27614\n9922 14941\n53838 80784\n9735 14660\n13448 20255\n34132 51340\n29312 44162\n74233 100000\n67419 100000\n35789 53832\n19679 29669\n20995 31649\n40071 60275\n52240 78399\n66540 99835\n96742 100000\n69179 100000\n36640 55127\n30029 45232\n28472 42895\n37575 56532\n69319 100000\n85922 100000\n32825 49413\n15491 23337\n64519 96765\n75183 100000\n40202 60465\n88830 100000\n15781 23787\n44934 67508\n62091 93125\n34916 52522\n72611 100000\n45156 67836\n68068 100000\n92096 100000\n20517 30944\n66450 99703\n83607 100000\n75433 100000\n22527 33961\n82285 100000\n15273 23014\n98518 100000\n57700 86562\n93939 100000\n85799 100000\n55938 83923\n75816 100000\n90277 100000\n74388 100000\n74135 100000\n30795 46389\n26886 40491\n81705 100000\n29514 44451\n90683 100000\n19587 29526\n72742 100000\n99669 100000\n39915 60045\n67442 100000\n25343 38185\n28858 43491\n76190 100000\n47981 72053\n37845 56939\n71517 100000\n89561 100000\n60133 90215\n84188 100000\n39030 58707\n74622 100000\n94091 100000\n83910 100000\n78727 100000\n2539 3844\n15726 23700\n92921 100000\n39150 58893\n96087 100000\n78784 100000\n14391 21691\n40018 60198\n40168 60413\n23454 35369\n93164 100000\n67932 100000\n48125 72272\n14892 22447\n62556 93828\n50348 75585\n33956 51084\n9399 14142\n72823 100000\n16002 24113\n30794 46388\n4609 6927\n7372 11075\n81204 100000\n45154 67833\n14578 21974\n12225 18411\n78243 100000\n5918 8894\n13916 20968\n99202 100000\n51954 77989\n87124 100000\n70911 100000\n43478 65349\n29195 43990\n52900 79367\n72399 100000\n32511 48958\n35583 53522\n27059 40748\n99907 100000\n3034 4584\n80734 100000\n19503 29398\n13478 20301\n91709 100000\n71514 100000\n65514 98273\n30466 45894\n34855 52427\n60092 90157\n72759 100000\n26715 40233\n91993 100000\n41584 62512\n81209 100000\n58040 87069\n46071 69211\n53883 80853\n27289 41094\n16346 24640\n95781 100000\n65346 98012\n11683 17607\n1659 2527\n91835 100000\n97215 100000\n77210 100000\n62372 93560\n60108 90178\n99335 100000\n59171 88777\n36395 54748\n10830 16300\n48909 73429\n11926 17972\n21808 32878\n99503 100000\n80379 100000\n6338 9526\n969 1482\n38155 57404\n26458 39846\n78376 100000\n99728 100000\n64950 97422\n51771 77721\n24319 36673\n68519 100000\n89005 100000\n77662 100000\n4883 7338\n65763 98652\n11305 17023\n45164 67850\n93535 100000\n79770 100000\n32043 48250\n77611 100000\n25878 38984\n9858 14840\n6650 9995\n60774 91175\n66788 100000\n54875 82324\n44185 66380\n42050 63214\n11740 17697\n39902 60025\n23222 35003\n34516 51918\n85974 100000\n14246 21473\n15409 23209\n8424 12668\n20492 30906\n69083 100000\n75971 100000\n18732 28217\n9215 13858\n44739 67209\n97927 100000\n28617 43122\n41865 62941\n98275 100000\n68413 100000\n21894 33003\n8203 12337\n72034 100000\n64583 96865\n30533 45995\n14117 21276\n96247 100000\n46072 69213\n83252 100000\n91132 100000\n40863 61444\n92642 100000\n31301 47133\n54823 82255\n75791 100000\n96624 100000\n80438 100000\n71799 100000\n94630 100000\n18803 28324\n37906 57035\n85930 100000\n55421 83138\n73569 100000\n51952 77987\n94220 100000\n10202 15356\n91704 100000\n19865 29954\n23058 34761\n7306 10972\n31666 47698\n56908 85359\n76651 100000\n47146 70801\n3704 5579\n43866 65926\n84041 100000\n11496 17320\n16271 24527\n46484 69822\n49241 73928\n81001 100000\n47174 70836\n58094 87152\n10831 16301\n96975 100000\n41519 62418\n31995 48176\n68203 100000\n23022 34705\n90775 100000\n37507 56434\n45135 67804\n13644 20552\n80058 100000\n40174 60423\n81783 100000\n67653 100000\n27167 40909\n84876 100000\n49178 73830\n7995 12022\n2572 3893\n48492 72808\n78659 100000\n21652 32638\n64823 97232\n50865 76357\n48627 73002\n80533 100000\n14095 21245\n41411 62253\n47463 71264\n19840 29915\n54227 81372\n1152 1760\n99491 100000\n37989 57163\n44212 66430\n1772 2698\n30260 45581\n76829 100000\n58200 87310\n42193 63429\n26755 40297\n34832 52389\n39469 59370\n2794 4226\n84386 100000\n3364 5084\n16961 25571\n77435 100000\n34015 51175\n23122 34849\n28446 42860\n99371 100000\n8669 13049\n9850 14827\n25408 38282\n60132 90214\n39691 59704\n33566 50498\n53685 80547\n42333 63624\n91768 100000\n9718 14633\n20704 31223\n6164 9266\n23661 35674\n66107 99177\n53893 80870\n89114 100000\n57756 86641\n74419 100000\n38874 58472\n73317 100000\n29616 44604\n84332 100000\n74185 100000\n81485 100000\n91392 100000\n55954 83944\n30504 45950\n68865 100000\n71524 100000\n29269 44100\n41388 62220\n82219 100000\n44647 67069\n47096 70726\n99803 100000\n9999 15055\n30636 46143\n11851 17860\n36405 54765\n82684 100000\n60292 90453\n3621 5458\n90047 100000\n5648 8478\n2848 4305\n99742 100000\n29375 44252\n14460 21802\n15943 24028\n10605 15953\n86150 100000\n18035 27170\n68665 100000\n11066 16650\n62429 93646\n94564 100000\n21898 33009\n13107 19739\n22627 34120\n69771 100000\n54192 81324\n33933 51047\n13350 20102\n86927 100000\n41408 62249\n16183 24395\n82833 100000\n25122 37855\n91245 100000\n99998 100000\n25687 38693\n22714 34245\n25206 37981\n11172 16812\n30659 46179\n23515 35462\n74576 100000\n43228 64972\n65366 98046\n37859 56959\n95769 100000\n8307 12489\n49720 74631\n95103 100000\n52844 79284\n43884 65953\n6160 9259\n12520 18862\n17939 27032\n3053 4612\n24589 37063\n7141 10722\n2699 4084\n92142 100000\n13781 20763\n43434 65284\n32278 48605\n47039 70633\n78716 100000\n3206 4847\n85564 100000\n21355 32182\n14375 21663\n71010 100000\n11963 18024\n18993 28605\n63552 95314\n22281 33594\n53872 80839\n91603 100000\n72592 100000\n96377 100000\n11006 16560\n50086 75177\n43770 65788\n7892 11860\n20882 31485\n66683 100000\n52927 79407\n57547 86328\n32235 48541\n96737 100000\n58705 88076\n71222 100000\n51021 76595\n23989 36166\n66024 99049\n17137 25842\n15312 23068\n90760 100000\n22889 34507\n41587 62515\n5018 7534\n889 1364\n46837 70337\n14277 21523\n84202 100000\n56958 85434\n54353 81551\n20911 31528\n66264 99424\n91010 100000\n29032 43743\n23579 35551\n32105 48340\n63159 94728\n92976 100000\n2419 3655\n66864 100000\n84337 100000\n26571 40007\n27563 41514\n10478 15767\n57297 85934\n33436 50312\n30750 46318\n13066 19676\n82993 100000\n53197 79814\n41432 62285\n70081 100000\n14728 22207\n6668 10022\n14925 22499\n61301 91946\n85802 100000\n40225 60501\n45666 68610\n41884 62968\n97121 100000\n54674 82029\n87082 100000\n28619 43125\n91056 100000\n32556 49024\n38234 57525\n38036 57228\n3323 5020\n82645 100000\n6879 10332\n69627 100000\n73432 100000\n58070 87118\n29207 44006\n26169 39416\n61288 91930\n87321 100000\n54777 82185\n53480 80234\n23943 36092\n68006 100000\n85335 100000\n44104 66270\n47933 71981\n41538 62447\n63152 94720\n69933 100000\n69216 100000\n79042 100000\n27826 41910\n75271 100000\n35973 54104\n28812 43421\n28106 42332\n54082 81158\n72343 100000\n39972 60129\n41694 62683\n43144 64843\n57065 85585\n8392 12621\n94469 100000\n57498 86251\n47630 71514\n65649 98473\n95358 100000\n51538 77369\n72420 100000\n14273 21517\n83779 100000\n17637 26572\n68132 100000\n57689 86546\n78001 100000\n40534 60961\n6294 9458\n1844 2808\n58803 88227\n23074 34780\n28549 43016\n76711 100000\n55968 83965\n11672 17590\n42286 63560\n64077 96118\n85492 100000\n96860 100000\n47445 71241\n36088 54278\n64193 96286\n71712 100000\n13118 19757\n54373 81580\n47906 71938\n57836 86757\n28901 43549\n72475 100000\n44806 67310\n92368 100000\n94015 100000\n75815 100000\n16094 24254\n172 260\n65951 98943\n66203 99328\n14828 22353\n60605 90918\n42253 63516\n19367 29189\n22765 34322\n8021 12062\n44702 67151\n9958 14993\n28926 43587\n34573 52001\n41649 62614\n97470 100000\n7889 11857\n68146 100000\n11348 17090\n46627 70032\n27229 41002\n88647 100000\n91600 100000\n24891 37508\n84040 100000\n77090 100000\n17946 27042\n74318 100000\n81217 100000\n36261 54533\n98864 100000\n49865 74848\n20502 30923\n20748 31287\n1959 2981\n18908 28477\n54830 82263\n73273 100000\n40915 61522\n23211 34986\n93023 100000\n1285 1957\n80662 100000\n40351 60688\n46178 69367\n23544 35501\n88552 100000\n59987 90004\n99759 100000\n64486 96711\n88715 100000\n88686 100000\n37209 55980\n67568 100000\n26248 39535\n4149 6225\n95592 100000\n8073 12142\n63764 95639\n46056 69187\n21515 32424\n17320 26113\n73164 100000\n66363 99575\n25976 39123\n46914 70450\n82975 100000\n51666 77564\n14928 22504\n83842 100000\n95432 100000\n45418 68224\n54911 82376\n34276 51552\n85297 100000\n57451 86183\n97731 100000\n60974 91462\n40310 60625\n98379 100000\n50414 75687\n17949 27046\n16898 25474\n58681 88039\n66371 99586\n54489 81752\n43096 64771\n21513 32422\n96107 100000\n24357 36732\n37976 57145\n96625 100000\n5890 8849\n60281 90438\n48881 73390\n80104 100000\n85281 100000\n77751 100000\n53694 80562\n93499 100000\n91114 100000\n36529 54954\n30189 45475\n80820 100000\n59970 89977\n2125 3223\n75873 100000\n56237 84348\n85617 100000\n20878 31480\n16018 24138\n80021 100000\n70595 100000\n61810 92701\n37788 56856\n92216 100000\n80935 100000\n31899 48042\n35812 53868\n28125 42363\n32477 48911\n32601 49086\n44360 66641\n88962 100000\n77150 100000\n94014 100000\n67904 100000\n95530 100000\n59414 89149\n30854 46473\n62310 93468\n71595 100000\n96410 100000\n51387 77138\n94240 100000\n87511 100000\n30368 45743\n1687 2566\n45259 67986\n72743 100000\n16957 25565\n68162 100000\n44440 66760\n67437 100000\n187 286\n46133 69305\n92245 100000\n93946 100000\n41800 62839\n48625 72999\n1722 2623\n59598 89419\n86271 100000\n76154 100000\n91531 100000\n80643 100000\n83897 100000\n91976 100000\n10559 15888\n61465 92179\n958 1466\n76934 100000\n39574 59527\n62243 93367\n61895 92834\n44200 66408\n85412 100000\n3368 5090\n16920 25508\n24075 36297\n52987 79497\n26561 39991\n47204 70875\n67525 100000\n63670 95491\n30224 45527\n36321 54628\n73839 100000\n59225 88861\n94511 100000\n53826 80765\n54049 81109\n90934 100000\n86434 100000\n9894 14896\n16736 25220\n79811 100000\n26626 40089\n54719 82097\n48522 72850\n53937 80938\n6676 10034\n22561 34010\n30611 46105\n55717 83585\n44408 66716\n43527 65416\n34096 51294\n57733 86610\n31969 48138\n17097 25777\n6273 9431\n42538 63938\n50145 75269\n23903 36035\n53976 80999\n62054 93068\n93233 100000\n82218 100000\n88522 100000\n98444 100000\n96364 100000\n4573 6876\n69067 100000\n31133 46891\n75237 100000\n62337 93506\n41270 62053\n73281 100000\n20453 30843\n52785 79197\n36654 55147\n1439 2203\n88425 100000\n41219 61977\n86945 100000\n67163 100000\n82318 100000\n97460 100000\n21278 32063\n16930 25522\n14147 21323\n98468 100000\n78161 100000\n27324 41149\n94179 100000\n35915 54018\n9263 13935\n11729 17679\n26216 39485\n99242 100000\n64116 96178\n35460 53337\n73197 100000\n46062 69199\n87858 100000\n63924 95874\n40301 60615\n46300 69544\n71169 100000\n11499 17326\n90586 100000\n3772 5679\n11082 16677\n56886 85324\n96229 100000\n65997 99011\n60334 90513\n82892 100000\n44458 66787\n28418 42814\n15846 23890\n40663 61155\n66166 99270\n4367 6559\n56809 85209\n40054 60248\n45215 67923\n63991 95979\n61035 91553\n11170 16809\n68973 100000\n15820 23851\n77070 100000\n503 769\n98087 100000\n157 236\n1308 1993\n86649 100000\n54466 81716\n60726 91097\n98961 100000\n44051 66194\n3063 4627\n50200 75351\n35523 53431\n62882 94312\n35167 52904\n31826 47932\n88191 100000\n75607 100000\n17580 26489\n5995 9012\n88337 100000\n80422 100000\n36781 55344\n83038 100000\n92102 100000\n73135 100000\n85254 100000\n71310 100000\n70428 100000\n49946 74965\n8097 12178\n28980 43666\n19216 28951\n67144 100000\n27678 41687\n81722 100000\n93947 100000\n36215 54466\n23554 35517\n94748 100000\n60797 91206\n36472 54867\n30800 46397\n39551 59487\n95762 100000\n92367 100000\n55117 82685\n39935 60073\n98351 100000\n12880 19390\n27432 41317\n27936 42080\n64550 96813\n57401 86107\n51087 76689\n4899 7362\n49912 74914\n70667 100000\n83370 100000\n2148 3256\n20173 30423\n13823 20823\n56614 84924\n88158 100000\n5798 8714\n2026 3082\n83544 100000\n55094 82650\n75935 100000\n32791 49367\n63451 95167\n50772 76221\n2215 3356\n22611 34095\n37291 56098\n94309 100000\n9752 14682\n25532 38471\n67462 100000\n49188 73845\n83802 100000\n38720 58244\n53725 80612\n11101 16706\n91876 100000\n54241 81394\n81261 100000\n85144 100000\n53281 79936\n94742 100000\n70201 100000\n56861 85290\n46222 69431\n66173 99281\n84383 100000\n48540 72876\n24166 36431\n35746 53767\n8072 12140\n29419 44311\n91522 100000\n48016 72103\n55763 83652\n40982 61624\n87250 100000\n31266 47082\n40938 61557\n77884 100000\n95579 100000\n46407 69705\n50636 76013\n38866 58457\n79572 100000\n10561 15890\n80695 100000\n38563 58009\n5114 7682\n68145 100000\n20094 30306\n22673 34186\n28240 42540\n48117 72261\n54520 81797\n79893 100000\n68241 100000\n92141 100000\n80975 100000\n17404 26237\n81552 100000\n29382 44263\n67189 100000\n44785 67276\n99573 100000\n13299 20025\n89833 100000\n85939 100000\n61837 92743\n26272 39571\n93718 100000\n67 107\n93814 100000\n53010 79534\n69879 100000\n49071 73666\n19660 29638\n46867 70379\n70758 100000\n86214 100000\n56526 84795\n54996 82506\n91027 100000\n87066 100000\n93753 100000\n63421 95122\n60734 91109\n73531 100000\n42976 64594\n28606 43102\n10681 16071\n25852 38945\n46369 69649\n990 1512\n32732 49279\n66645 100000\n10383 15629\n46410 69710\n35658 53637\n76578 100000\n22082 33287\n72662 100000\n99793 100000\n66113 99188\n30463 45890\n82475 100000\n8361 12573\n47383 71149\n56102 84155\n39755 59808\n23336 35183\n50668 76057\n46235 69447\n92288 100000\n23565 35532\n57047 85557\n55302 82965\n65166 97742\n4958 7446\n99621 100000\n34267 51538\n30974 46654\n18030 27163\n420 646\n10809 16267\n27125 40841\n29089 43825\n72271 100000\n61087 91627\n77539 100000\n74534 100000\n54599 81917\n51850 77836\n18766 28270\n62216 93325\n8006 12036\n17478 26341\n19380 29210\n43829 65874\n67799 100000\n2867 4329\n4676 7021\n81667 100000\n50853 76340\n2755 4168\n57019 85517\n50605 75966\n54270 81435\n72003 100000\n88952 100000\n94050 100000\n26570 40006\n88098 100000\n25806 38876\n94490 100000\n12823 19310\n72761 100000\n35291 53085\n75648 100000\n23356 35214\n25485 38403\n90432 100000\n93565 100000\n57470 86210\n55130 82705\n600 922\n99275 100000\n64332 96485\n17930 27020\n58955 88452\n45679 68632\n41470 62344\n46552 69920\n78753 100000\n82524 100000\n95689 100000\n98490 100000\n41492 62376\n49827 74792\n5056 7597\n57849 86778\n80833 100000\n5917 8892\n14914 22482\n72557 100000\n5563 8352\n92408 100000\n85312 100000\n81289 100000\n24837 37427\n51594 77455\n40238 60519\n30200 45491\n6361 9559\n30208 45504\n34639 52095\n83987 100000\n52731 79111\n60884 91332\n14134 21304\n50295 75501\n71312 100000\n58508 87781\n27348 41189\n17422 26263\n70664 100000\n69342 100000\n79180 100000\n3602 5433\n92203 100000\n30309 45656\n64181 96268\n12020 18115\n84639 100000\n13131 19774\n28284 42611\n36714 55242\n14387 21683\n10874 16365\n67210 100000\n62393 93592\n83837 100000\n34909 52511\n10972 16510\n17963 27065\n96652 100000\n47740 71682\n94842 100000\n9667 14556\n79941 100000\n39288 59094\n48167 72335\n86785 100000\n18426 27751\n13634 20539\n21820 32895\n82498 100000\n56736 85107\n870 1337\n13954 21035\n87997 100000\n48532 72865\n17849 26898\n73695 100000\n96363 100000\n37262 56058\n23843 35944\n9100 13689\n19709 29715\n18998 28614\n75413 100000\n81064 100000\n86456 100000\n69616 100000\n99917 100000\n74301 100000\n39874 59981\n28727 43292\n6755 10154\n4719 7088\n63964 95937\n94359 100000\n45120 67784\n1713 2611\n98410 100000\n77783 100000\n60 97\n76021 100000\n42979 64598\n51717 77643\n97726 100000\n64195 96289\n73297 100000\n91126 100000\n26317 39637\n22061 33256\n21739 32773\n89701 100000\n16724 25203\n4766 7157\n58020 87041\n6639 9976\n62777 94156\n94033 100000\n13818 20816\n68860 100000\n74877 100000\n21190 31931\n38136 57375\n8733 13142\n70550 100000\n45578 68472\n48264 72478\n5017 7532\n22049 33236\n49289 73997\n95315 100000\n85060 100000\n50867 76361\n22796 34367\n45715 68684\n86562 100000\n85553 100000\n11819 17810\n69664 100000\n79187 100000\n33817 50880\n4258 6395\n88259 100000\n99167 100000\n22260 33562\n81155 100000\n72905 100000\n22133 33373\n48413 72692\n64912 97368\n7397 11116\n73687 100000\n95888 100000\n92172 100000\n4973 7467\n58945 88439\n42374 63689\n78033 100000\n56162 84238\n18876 28431\n81344 100000\n2213 3353\n99687 100000\n17866 26922\n3600 5429\n52419 78662\n71634 100000\n18519 27901\n32345 48705\n44705 67157\n20526 30959\n31497 47434\n97414 100000\n81537 100000\n18175 27380\n32332 48686\n79677 100000\n38905 58520\n34770 52295\n49780 74724\n85803 100000\n61638 92439\n48095 72224\n86595 100000\n48705 73126\n85022 100000\n95452 100000\n70693 100000\n28169 42429\n43506 65385\n95353 100000\n75619 100000\n52354 78568\n28891 43535\n5073 7621\n9996 15051\n12594 18971\n19770 29809\n48043 72142\n48815 73290\n13881 20913\n81574 100000\n25376 38231\n74671 100000\n87559 100000\n80649 100000\n34118 51322\n99850 100000\n81239 100000\n517 790\n88766 100000\n47215 70890\n51453 77237\n61692 92523\n36090 54281\n74699 100000\n23867 35978\n5786 8697\n28900 43548\n85142 100000\n19716 29722\n67690 100000\n75264 100000\n52848 79290\n86685 100000\n71711 100000\n77401 100000\n28371 42741\n14268 21509\n9116 13714\n74397 100000\n62294 93444\n47240 70932\n18685 28152\n67913 100000\n26535 39959\n35611 53565\n92839 100000\n75932 100000\n61725 92572\n85407 100000\n16817 25351\n88891 100000\n85572 100000\n50026 75083\n48318 72555\n77042 100000\n14603 22013\n27682 41695\n63429 95134\n37897 57019\n71779 100000\n10873 16363\n52141 78253\n41229 61994\n32447 48860\n85967 100000\n34984 52625\n18508 27885\n19993 30152\n48887 73399\n18676 28136\n47833 71828\n75395 100000\n46579 69962\n69183 100000\n47698 71618\n83992 100000\n68886 100000\n80785 100000\n365 563\n33158 49903\n82036 100000\n90378 100000\n22809 34387\n90350 100000\n47886 71903\n15060 22692\n18866 28415\n92529 100000\n11414 17200\n28742 43315\n56161 84237\n30783 46370\n57143 85700\n82611 100000\n74067 100000\n4960 7448\n65621 98433\n54114 81204\n57252 85865\n49559 74397\n22549 33993\n37066 55768\n22749 34295\n62168 93246\n20209 30476\n7912 11893\n92505 100000\n75265 100000\n65035 97547\n22140 33383\n28074 42285\n11293 17006\n6057 9111\n82573 100000\n74289 100000\n15056 22686\n98157 100000\n59994 90014\n68115 100000\n5902 8868\n92649 100000\n4650 6985\n76254 100000\n41824 62874\n10223 15386\n10245 15423\n90596 100000\n9423 14178\n80675 100000\n74953 100000\n2204 3339\n46379 69664\n12969 19526\n25 39\n63222 94822\n32545 49009\n5391 8098\n28657 43180\n75696 100000\n9087 13670\n12739 19195\n67556 100000\n90333 100000\n54799 82218\n21871 32971\n33887 50980\n66770 100000\n63457 95175\n51189 76855\n7804 11728\n10382 15627\n23047 34745\n95772 100000\n70266 100000\n68937 100000\n17620 26550\n14611 22024\n27989 42155\n63111 94660\n4774 7171\n73265 100000\n97078 100000\n51217 76890\n124 186\n61345 92004\n6837 10271\n7398 11118\n73782 100000\n29767 44837\n56937 85404\n26209 39476\n64600 96886\n89441 100000\n59030 88562\n46588 69975\n35947 54063\n5967 8969\n21624 32596\n85820 100000\n55348 83030\n48222 72417\n76176 100000\n48340 72586\n46077 69220\n6066 9124\n10273 15465\n3999 6007\n14781 22282\n72515 100000\n82258 100000\n39372 59223\n32712 49252\n61244 91863\n94769 100000\n50975 76522\n5874 8825\n24072 36292\n48692 73103\n5828 8758\n43121 64812\n21887 32992\n99595 100000\n336 516\n85958 100000\n66193 99310\n84320 100000\n84713 100000\n69084 100000\n43252 65010\n28661 43187\n26167 39412\n59454 89204\n91319 100000\n47584 71450\n30241 45551\n23606 35589\n87231 100000\n71932 100000\n76782 100000\n71597 100000\n44815 67323\n3962 5953\n36020 54175\n83201 100000\n75037 100000\n86739 100000\n38853 58436\n12489 18818\n38575 58028\n38886 58493\n18850 28390\n42732 64223\n80432 100000\n11769 17737\n74030 100000\n28638 43152\n98269 100000\n15151 22828\n81732 100000\n31528 47481\n14835 22364\n99507 100000\n46741 70191\n42855 64407\n61498 92229\n52325 78527\n87281 100000\n34934 52550\n77456 100000\n24850 37447\n76018 100000\n88430 100000\n58289 87440\n37095 55813\n19082 28744\n21427 32286\n30514 45963\n67772 100000\n3310 5001\n23651 35658\n42017 63168\n59057 88606\n63696 95529\n85070 100000\n65001 97495\n68225 100000\n12731 19183\n64681 97011\n62655 93975\n71372 100000\n41364 62184\n14988 22589\n94363 100000\n81633 100000\n68816 100000\n33554 50480\n59514 89289\n50450 75741\n49952 74972\n3653 5504\n88252 100000\n68056 100000\n23284 35099\n93474 100000\n97229 100000\n80087 100000\n28979 43665\n26820 40392\n10971 16508\n69064 100000\n69473 100000\n64953 97427\n3166 4788\n82545 100000\n40727 61248\n73168 100000\n30835 46446\n90478 100000\n96758 100000\n99505 100000\n78374 100000\n58332 87508\n98894 100000\n37805 56878\n82149 100000\n76398 100000\n38326 57665\n52055 78133\n15481 23320\n86888 100000\n73304 100000\n53185 79800\n3230 4882\n65212 97811\n44032 66166\n59409 89143\n52956 79457\n87911 100000\n83654 100000\n30027 45230\n18295 27562\n24461 36885\n80834 100000\n50170 75307\n18332 27620\n50938 76471\n11904 17939\n140 211\n92238 100000\n50738 76169\n2126 3225\n81152 100000\n22516 33946\n77385 100000\n92069 100000\n77714 100000\n27144 40872\n99692 100000\n59007 88534\n52179 78308\n94917 100000\n68316 100000\n17573 26480\n46031 69148\n94105 100000\n40566 61010\n14445 21781\n21469 32353\n3514 5310\n94757 100000\n99470 100000\n83216 100000\n62354 93532\n47874 71887\n78159 100000\n7641 11483\n98297 100000\n77353 100000\n90684 100000\n46880 70400\n13987 21085\n27255 41040\n2118 3212\n97303 100000\n41790 62824\n50901 76412\n59142 88732\n38228 57515\n85800 100000\n93768 100000\n65263 97886\n77769 100000\n48006 72087\n71229 100000\n10610 15961\n67102 100000\n17610 26538\n68803 100000\n80862 100000\n83036 100000\n52755 79153\n52947 79441\n45474 68307\n40024 60207\n60317 90491\n22676 34191\n2067 3140\n60588 90893\n28961 43637\n23143 34880\n51250 76935\n40231 60511\n76940 100000\n90667 100000\n5778 8685\n82495 100000\n88152 100000\n18547 27942\n5749 8642\n29298 44142\n53436 80167\n53076 79639\n60275 90429\n8790 13230\n49081 73682\n38410 57789\n96676 100000\n38144 57388\n13799 20787\n57246 85855\n13625 20523\n78685 100000\n4615 6935\n97516 100000\n19223 28961\n48913 73435\n30500 45945\n95002 100000\n76499 100000\n29224 44027\n59583 89396\n56814 85218\n84287 100000\n44517 66869\n14858 22399\n72692 100000\n56246 84359\n60613 90929\n3400 5138\n50159 75291\n62152 93221\n30174 45454\n77557 100000\n28003 42173\n93652 100000\n60059 90109\n55966 83963\n15010 22622\n15333 23099\n18111 27289\n14497 21854\n33000 49674\n16120 24293\n77342 100000\n67494 100000\n46242 69460\n9533 14353\n13650 20561\n74991 100000\n81852 100000\n70755 100000\n49190 73849\n95630 100000\n22497 33920\n89543 100000\n47955 72014\n27276 41076\n63116 94666\n23653 35662\n58821 88252\n15121 22790\n53847 80797\n90912 100000\n95410 100000\n87656 100000\n6119 9197\n74404 100000\n3571 5387\n35628 53594\n74572 100000\n83890 100000\n91416 100000\n22935 34576\n7706 11581\n97446 100000\n4476 6732\n20608 31081\n26664 40153\n78367 100000\n70310 100000\n14562 21949\n27643 41637\n53175 79785\n72484 100000\n26223 39495\n81551 100000\n59758 89660\n71450 100000\n2617 3959\n22048 33234\n52558 78865\n29201 43999\n41894 62986\n81386 100000\n97328 100000\n2675 4049\n79490 100000\n81235 100000\n4329 6505\n19889 29993\n41429 62280\n34527 51934\n67389 100000\n95943 100000\n51164 76817\n12621 19016\n14893 22448\n29731 44781\n39212 58982\n23017 34699\n92767 100000\n27645 41640\n81495 100000\n77869 100000\n51194 76861\n30976 46657\n11719 17662\n21996 33154\n15233 22953\n6083 9151\n48329 72571\n60977 91467\n37242 56027\n58178 87279\n13074 19689\n97555 100000\n55737 83614\n22380 33744\n49413 74183\n15094 22744\n47322 71058\n3072 4640\n41680 62660\n65684 98528\n87481 100000\n49053 73639\n45344 68120\n15780 23786\n76343 100000\n6 11\n16455 24797\n51388 77140\n37622 56603\n17742 26736\n33364 50208\n75836 100000\n96990 100000\n1855 2826\n60178 90280\n49113 73730\n53927 80921\n73451 100000\n13472 20294\n5857 8797\n86457 100000\n3734 5622\n8352 12559\n25586 38550\n22058 33250\n20376 30723\n9440 14202\n64952 97425\n80900 100000\n4194 6298\n69923 100000\n36598 55056\n26958 40597\n48204 72393\n7757 11657\n53906 80889\n48771 73228\n81497 100000\n5402 8111\n9231 13883\n67422 100000\n7275 10927\n15673 23621\n39481 59389\n58131 87209\n69690 100000\n48828 73307\n43936 66032\n26667 40157\n20196 30456\n53481 80236\n59241 88885\n59846 89791\n76727 100000\n60193 90305\n27570 41524\n201 308\n18101 27272\n68418 100000\n44690 67134\n62907 94349\n52821 79251\n43757 65768\n56202 84294\n62467 93702\n79538 100000\n44503 66851\n94237 100000\n14887 22440\n43850 65903\n67088 100000\n78240 100000\n53352 80041\n20186 30439\n81406 100000\n1545 2354\n4402 6613\n69056 100000\n77697 100000\n68659 100000\n43523 65408\n5433 8158\n41178 61914\n80486 100000\n93386 100000\n48639 73020\n76030 100000\n83538 100000\n59323 89014\n4678 7024\n9710 14623\n8321 12512\n76954 100000\n57682 86535\n54948 82431\n75770 100000\n69284 100000\n2251 3411\n37249 56039\n7600 11421\n37136 55878\n2120 3215\n97342 100000\n71934 100000\n953 1458\n67553 100000\n38099 57322\n33853 50929\n64801 97198\n32550 49016\n65235 97840\n32871 49490\n36371 54709\n14128 21294\n74545 100000\n19178 28888\n1625 2476\n68188 100000\n36114 54313\n64627 96929\n81712 100000\n31113 46860\n59489 89255\n16222 24454\n31601 47601\n84029 100000\n50120 75231\n30191 45478\n93667 100000\n42701 64177\n79911 100000\n97770 100000\n64302 96445\n61784 92664\n72451 100000\n42725 64214\n31215 47012\n56984 85468\n42157 63377\n57802 86708\n7318 10992\n1691 2573\n26351 39687\n41667 62642\n26221 39492\n17857 26909\n19329 29132\n30252 45567\n93047 100000\n28609 43107\n65652 98478\n21523 32436\n42938 64534\n69439 100000\n18352 27647\n23704 35735\n6894 10354\n42014 63164\n63333 94990\n41206 61960\n76890 100000\n77367 100000\n26595 40039\n20292 30596\n69309 100000\n68554 100000\n45775 68770\n93187 100000\n12394 18670\n11288 16998\n22354 33703\n80841 100000\n19718 29726\n35500 53396\n33383 50234\n18126 27309\n6962 10451\n74951 100000\n90838 100000\n6201 9320\n81773 100000\n26405 39770\n7969 11978\n21270 32052\n66191 99307\n65968 98967\n35175 52918\n50012 75063\n59880 89846\n7 12\n2514 3803\n63718 95562\n5149 7728\n95854 100000\n10067 15159\n89220 100000\n35909 54010\n42657 64112\n55776 83674\n16466 24814\n37919 57056\n25587 38551\n39852 59944\n31930 48085\n10005 15065\n7721 11605\n22953 34602\n71769 100000\n7859 11813\n16251 24496\n60247 90387\n91403 100000\n16035 24167\n83011 100000\n55048 82581\n92513 100000\n65305 97948\n70639 100000\n2842 4296\n82737 100000\n35535 53448\n48135 72286\n88355 100000\n69379 100000\n50191 75339\n61707 92545\n45485 68323\n93437 100000\n75843 100000\n84582 100000\n52506 78790\n66031 99060\n7030 10550\n94969 100000\n34725 52226\n56785 85178\n39153 58896\n40173 60422\n86098 100000\n3476 5252\n97501 100000\n57924 86894\n42336 63628\n37849 56945\n45137 67808\n94244 100000\n53178 79790\n38724 58250\n15229 22947\n82662 100000\n40265 60560\n20450 30838\n45669 68614\n28370 42740\n82468 100000\n895 1374\n7514 11290\n93904 100000\n8931 13438\n69335 100000\n87508 100000\n50711 76126\n85660 100000\n74213 100000\n66861 100000\n36195 54436\n17835 26877\n42082 63260\n28326 42676\n33592 50540\n27937 42081\n28737 43307\n5704 8565\n41843 62905\n93159 100000\n27683 41696\n30389 45775\n45528 68390\n70434 100000\n29898 45038\n85469 100000\n26658 40143\n83905 100000\n24282 36619\n69139 100000\n64085 96132\n84527 100000\n75384 100000\n69651 100000\n76605 100000\n40970 61604\n59659 89506\n36161 54385\n22526 33960\n67049 100000\n34870 52449\n87223 100000\n43248 65005\n42931 64522\n51941 77971\n39375 59229\n68456 100000\n53731 80620\n14718 22193\n48804 73273\n55868 83816\n83764 100000\n60757 91146\n93455 100000\n91539 100000\n46997 70574\n57282 85910\n74368 100000\n85519 100000\n12168 18328\n10964 16498\n49807 74764\n37728 56766\n97841 100000\n4671 7015\n61387 92066\n96954 100000\n49040 73621\n58188 87296\n4798 7210\n1253 1909\n13729 20681\n13649 20560\n46573 69954\n53813 80746\n71153 100000\n28703 43255\n43697 65678\n17691 26654\n54039 81094\n5091 7648\n59585 89398\n80992 100000\n27237 41014\n99892 100000\n12855 19352\n95688 100000\n27502 41419\n22859 34462\n99825 100000\n68854 100000\n52149 78266\n51811 77779\n18233 27469\n86852 100000\n61367 92039\n92800 100000\n46061 69197\n67726 100000\n35826 53888\n85205 100000\n95520 100000\n25991 39144\n38887 58494\n3668 5528\n20308 30619\n74354 100000\n3662 5519\n78083 100000\n46610 70008\n17002 25629\n1592 2428\n1127 1723\n28048 42241\n80639 100000\n82025 100000\n88533 100000\n46814 70305\n37532 56472\n47072 70685\n69959 100000\n98089 100000\n78019 100000\n52779 79188\n36689 55206\n66924 100000\n43885 65954\n85133 100000\n85108 100000\n98262 100000\n4232 6354\n51066 76660\n72937 100000\n85835 100000\n19720 29730\n86220 100000\n6134 9220\n20197 30457\n70672 100000\n3111 4700\n17160 25878\n10637 16002\n25955 39093\n75295 100000\n43695 65675\n95637 100000\n66768 100000\n2410 3640\n79332 100000\n60720 91089\n23027 34714\n15347 23118\n67119 100000\n87783 100000\n36787 55355\n53841 80788\n52302 78496\n18630 28068\n59824 89760\n99000 100000\n50782 76237\n37820 56897\n61043 91563\n82867 100000\n20433 30814\n54787 82201\n60104 90173\n84486 100000\n9677 14573\n76441 100000\n32018 48211\n15749 23739\n5383 8085\n88486 100000\n72261 100000\n35186 52935\n65971 98971\n65871 98818\n15592 23494\n66900 100000\n38124 57358\n28435 42842\n78656 100000\n71232 100000\n74565 100000\n79925 100000\n67392 100000\n71144 100000\n78837 100000\n23080 34789\n33184 49941\n15980 24079\n35465 53344\n2968 4485\n46424 69730\n24089 36318\n66150 99247\n50356 75595\n80185 100000\n43408 65247\n76305 100000\n79284 100000\n33456 50342\n47030 70622\n73404 100000\n7367 11066\n26766 40313\n33467 50357\n50087 75179\n96710 100000\n38524 57950\n31788 47875\n17550 26448\n69875 100000\n83340 100000\n2164 3279\n84626 100000\n52550 78853\n36881 55498\n306 470\n36635 55121\n56660 84995\n77251 100000\n35094 52789\n65375 98059\n64419 96611\n14236 21458\n98739 100000\n71536 100000\n26061 39250\n5286 7936\n52215 78359\n71644 100000\n4635 6964\n43061 64716\n77979 100000\n47261 70965\n40794 61343\n86954 100000\n20970 31614\n12323 18561\n23716 35756\n62230 93348\n72755 100000\n85259 100000\n14298 21553\n51502 77317\n27793 41865\n34615 52062\n35177 52922\n88856 100000\n23504 35447\n67173 100000\n54326 81516\n88109 100000\n59243 88888\n41761 62775\n89836 100000\n68661 100000\n98364 100000\n12326 18565\n3152 4764\n14654 22090\n18621 28056\n35417 53272\n29387 44269\n7991 12015\n59592 89409\n7584 11396\n70868 100000\n47179 70844\n69160 100000\n40811 61368\n26553 39983\n27075 40772\n43937 66034\n49971 75001\n32891 49519\n22667 34177\n8019 12059\n86489 100000\n3568 5383\n16840 25384\n827 1271\n86153 100000\n49494 74307\n53754 80658\n88835 100000\n42284 63557\n19778 29821\n73518 100000\n35179 52925\n66306 99489\n52500 78781\n74216 100000\n29911 45054\n74587 100000\n68440 100000\n39280 59081\n34539 51951\n50496 75805\n75319 100000\n25093 37817\n2048 3113\n63470 95194\n49802 74757\n26270 39568\n63488 95224\n1793 2730\n24512 36962\n9493 14286\n25029 37718\n40296 60606\n23646 35652\n39186 58944\n69135 100000\n88582 100000\n81440 100000\n92432 100000\n37141 55885\n11391 17161\n56390 84590\n43647 65598\n40240 60521\n86972 100000\n44232 66457\n14086 21230\n90914 100000\n79915 100000\n65808 98720\n37340 56175\n15028 22646\n97416 100000\n21413 32264\n30010 45206\n68577 100000\n98 147\n35982 54119\n1164 1780\n90995 100000\n43399 65235\n96799 100000\n56105 84160\n77616 100000\n29637 44636\n4348 6531\n83674 100000\n74969 100000\n35501 53398\n63960 95931\n397 611\n94771 100000\n43925 66016\n57680 86531\n25614 38590\n74557 100000\n32427 48829\n10474 15763\n90411 100000\n43560 65468\n92811 100000\n81247 100000\n80910 100000\n51804 77769\n69004 100000\n40354 60693\n21798 32862\n82821 100000\n88010 100000\n92456 100000\n52834 79270\n42545 63950\n19870 29963\n32369 48742\n54951 82436\n47288 71004\n30409 45804\n31099 46841\n60892 91345\n83483 100000\n97430 100000\n53304 79969\n39582 59538\n49088 73691\n9861 14844\n94099 100000\n65213 97812\n76057 100000\n2076 3153\n43339 65143\n23889 36010\n38913 58530\n66735 100000\n34385 51723\n46347 69613\n50142 75266\n63659 95473\n69298 100000\n3826 5761\n4101 6156\n74526 100000\n56094 84143\n57896 86854\n75239 100000\n9032 13591\n90441 100000\n32422 48823\n93877 100000\n6351 9545\n56655 84988\n77332 100000\n34221 51470\n75139 100000\n64711 97058\n76696 100000\n37920 57057\n16 26\n75174 100000\n10367 15605\n8830 13291\n52418 78661\n19387 29221\n16838 25381\n11643 17544\n7172 10771\n26512 39928\n30879 46516\n544 834\n97518 100000\n51822 77798\n7772 11682\n254 389\n42245 63506\n10419 15681\n83867 100000\n43782 65803\n81457 100000\n79393 100000\n80417 100000\n59623 89454\n89304 100000\n12146 18294\n68912 100000\n77776 100000\n49498 74312\n96293 100000\n90319 100000\n32217 48514\n37198 55966\n27900 42025\n21751 32792\n78010 100000\n51616 77491\n36121 54325\n59135 88723\n10603 15949\n43508 65387\n88048 100000\n83445 100000\n22282 33596\n8236 12384\n50180 75323\n42337 63630\n6150 9246\n60363 90558\n20399 30759\n74562 100000\n63776 95658\n39292 59099\n60641 90969\n91979 100000\n86709 100000\n56934 85401\n13765 20740\n42167 63389\n32099 48334\n75488 100000\n38428 57816\n81534 100000\n83717 100000\n32757 49315\n33336 50170\n94152 100000\n33882 50971\n83520 100000\n47707 71631\n44854 67384\n71744 100000\n37371 56225\n9640 14513\n5025 7546\n22214 33490\n13935 21003\n32363 48733\n83061 100000\n84132 100000\n98384 100000\n42297 63575\n86237 100000\n88269 100000\n84195 100000\n25006 37684\n97582 100000\n80911 100000\n78448 100000\n77694 100000\n36997 55671\n79988 100000\n15554 23434\n88377 100000\n7245 10880\n82279 100000\n1885 2870\n46754 70209\n4967 7459\n60274 90427\n33942 51061\n94675 100000\n98475 100000\n49129 73757\n50950 76489\n99013 100000\n55487 83240\n90428 100000\n71457 100000\n47139 70790\n94789 100000\n60311 90482\n22 35\n30831 46442\n49585 74434\n95617 100000\n63884 95818\n14433 21762\n40214 60481\n27532 41465\n72153 100000\n76116 100000\n5754 8650\n2720 4114\n99874 100000\n92993 100000\n12814 19298\n38841 58417\n31840 47956\n14157 21338\n86088 100000\n71347 100000\n95247 100000\n83568 100000\n72722 100000\n52420 78664\n1523 2325\n75634 100000\n44184 66378\n69886 100000\n21022 31690\n67906 100000\n56939 85408\n43574 65490\n72244 100000\n20155 30396\n27887 42005\n44187 66383\n78293 100000\n52710 79081\n57499 86252\n66154 99255\n83255 100000\n10904 16410\n70903 100000\n71913 100000\n21343 32163\n96093 100000\n73443 100000\n40325 60647\n60701 91058\n70110 100000\n14756 22247\n53981 81007\n34201 51438\n57447 86175\n82159 100000\n97475 100000\n20271 30569\n63079 94607\n66259 99417\n79662 100000\n27668 41671\n26114 39337\n40972 61608\n43176 64892\n71497 100000\n35533 53446\n82101 100000\n63045 94562\n74550 100000\n57387 86084\n14705 22173\n38546 57983\n21631 32607\n34612 52058\n29061 43786\n50102 75201\n96716 100000\n10997 16544\n60203 90318\n82191 100000\n679 1042\n52053 78131\n55197 82802\n28008 42180\n51548 77384\n67368 100000\n35839 53909\n17376 26194\n41300 62097\n93658 100000\n95993 100000\n70636 100000\n28265 42579\n49961 74986\n57786 86686\n85870 100000\n86638 100000\n89066 100000\n20406 30769\n64983 97468\n57191 85770\n67770 100000\n7017 10531\n27152 40885\n9413 14164\n48858 73356\n62534 93796\n31592 47586\n99995 100000\n11058 16638\n4987 7489\n6434 9668\n20978 31625\n62756 94128\n4658 6995\n36979 55644\n11946 18003\n43529 65419\n43993 66114\n97141 100000\n90761 100000\n81164 100000\n77224 100000\n19465 29342\n8028 12072\n9832 14798\n57373 86062\n58391 87599\n98241 100000\n38073 57285\n29117 43868\n59188 88804\n97888 100000\n22857 34460\n88547 100000\n20204 30469\n43346 65156\n15555 23435\n27649 41646\n49441 74228\n43696 65676\n42755 64259\n99726 100000\n6534 9820\n39080 58784\n5455 8191\n27633 41620\n22580 34044\n32870 49488\n99346 100000\n15315 23072\n71353 100000\n78886 100000\n594 912\n28330 42681\n97561 100000\n37471 56379\n27483 41390\n43492 65367\n96343 100000\n90484 100000\n43906 65986\n66609 99943\n88824 100000\n32879 49501\n37756 56807\n98941 100000\n78761 100000\n11419 17208\n50059 75135\n85736 100000\n75180 100000\n84882 100000\n58669 88022\n90864 100000\n55842 83776\n54884 82339\n26982 40633\n74387 100000\n27138 40864\n87688 100000\n82057 100000\n96049 100000\n56706 85065\n12161 18317\n84392 100000\n28256 42565\n70786 100000\n98032 100000\n9724 14645\n6397 9612\n98088 100000\n19745 29770\n99752 100000\n60965 91450\n8047 12101\n56372 84560\n98876 100000\n47924 71966\n84904 100000\n44086 66245\n29623 44614\n73683 100000\n42660 64117\n79385 100000\n25312 38136\n75997 100000\n86969 100000\n4810 7228\n23295 35117\n29796 44884\n73550 100000\n74623 100000\n66169 99275\n37131 55870\n80556 100000\n14434 21764\n55018 82538\n76642 100000\n60221 90348\n28653 43173\n37469 56376\n73928 100000\n61342 92000\n63379 95062\n66835 100000\n38876 58475\n34956 52583\n78551 100000\n84134 100000\n83479 100000\n22476 33890\n56577 84873\n82370 100000\n74686 100000\n37726 56762\n38797 58355\n28732 43299\n58684 88044\n47882 71897\n66614 99951\n68399 100000\n80616 100000\n15691 23646\n6810 10232\n89376 100000\n68490 100000\n463 710\n51193 76860\n637 977\n89663 100000\n32016 48208\n2868 4331\n50318 75536\n56490 84736\n40683 61181\n11749 17712\n34467 51843\n55516 83284\n13138 19785\n79279 100000\n97348 100000\n89418 100000\n77808 100000\n26569 40004\n984 1504\n63965 95939\n62810 94206\n23997 36176\n65726 98596\n84228 100000\n35636 53607\n74334 100000\n58305 87467\n87202 100000\n20005 30171\n56467 84702\n3691 5561\n45655 68594\n19087 28754\n6488 9752\n42513 63896\n16518 24897\n50445 75733\n8269 12431\n62867 94288\n95338 100000\n34817 52367\n76211 100000\n57021 85520\n79185 100000\n12803 19281\n6888 10345\n94579 100000\n941 1436\n51710 77631\n22593 34067\n69261 100000\n32652 49159\n24407 36806\n48218 72412\n41662 62634\n61153 91729\n91526 100000\n57854 86785\n39322 59145\n13496 20330\n6915 10385\n17238 25994\n70488 100000\n75531 100000\n54180 81307\n18569 27978\n84471 100000\n32001 48184\n53429 80157\n2585 3911\n97963 100000\n55955 83945\n39157 58901\n89341 100000\n94961 100000\n39287 59093\n92804 100000\n35430 53292\n66463 99721\n89416 100000\n41465 62337\n50362 75603\n25799 38866\n99847 100000\n64889 97334\n46879 70398\n60364 90560\n87694 100000\n31485 47414\n49057 73645\n99871 100000\n93582 100000\n91348 100000\n25530 38468\n31800 47893\n88551 100000\n90253 100000\n88782 100000\n9610 14469\n21258 32032\n55927 83907\n48506 72827\n92612 100000\n26398 39759\n41387 62219\n556 851\n4823 7248\n60233 90366\n35732 53747\n32527 48983\n51005 76570\n97743 100000\n27056 40742\n25321 38151\n5724 8596\n96593 100000\n72384 100000\n45988 69085\n66179 99290\n46582 69966\n41782 62812\n68730 100000\n23966 36129\n76212 100000\n68676 100000\n89353 100000\n21724 32749\n70052 100000\n99680 100000\n53443 80177\n32438 48846\n83795 100000\n24823 37406\n15740 23724\n17379 26198\n15864 23918\n73108 100000\n82411 100000\n33884 50975\n31361 47224\n57810 86718\n3643 5490\n51001 76564\n3273 4946\n93313 100000\n67580 100000\n64037 96054\n32519 48971\n79607 100000\n65139 97702\n67451 100000\n45412 68215\n10088 15189\n45451 68276\n75243 100000\n95033 100000\n16794 25316\n33914 51021\n41803 62844\n59673 89528\n2872 4337\n53582 80392\n78622 100000\n82264 100000\n14633 22059\n19011 28634\n78848 100000\n31370 47238\n31967 48135\n2056 3126\n52872 79328\n30761 46336\n44183 66377\n82822 100000\n46514 69862\n41698 62688\n29708 44743\n90738 100000\n57702 86565\n99237 100000\n74145 100000\n96502 100000\n96570 100000\n3587 5410\n71620 100000\n57965 86958\n51222 76896\n90190 100000\n61303 91949\n18100 27271\n14501 21860\n57808 86716\n63151 94718\n94275 100000\n3551 5363\n61874 92798\n8594 12934\n9889 14889\n71083 100000\n89512 100000\n43505 65384\n46542 69903\n57622 86444\n95154 100000\n33211 49983\n93989 100000\n96610 100000\n37614 56592\n17395 26222\n27440 41329\n24225 36530\n80020 100000\n95448 100000\n98419 100000\n67542 100000\n64488 96715\n30695 46235\n90063 100000\n69911 100000\n38763 58307\n2926 4426\n67708 100000\n25974 39120\n28192 42468\n50780 76233\n65688 98533\n98577 100000\n38940 58574\n28777 43368\n24078 36300\n29920 45068\n65547 98321\n84526 100000\n95621 100000\n47725 71660\n460 705\n53781 80696\n14094 21243\n37056 55755\n27559 41506\n38907 58522\n35415 53269\n66331 99529\n47772 71735\n2781 4207\n36436 54810\n77641 100000\n80599 100000\n13379 20147\n24351 36723\n81782 100000\n43807 65843\n89184 100000\n57548 86330\n14646 22077\n30133 45394\n95784 100000\n51101 76712\n20545 30988\n95850 100000\n13222 19913\n39870 59975\n31257 47071\n12637 19041\n92328 100000\n97110 100000\n45488 68328\n86818 100000\n34263 51530\n80047 100000\n94136 100000\n54393 81611\n79540 100000\n85295 100000\n58223 87345\n80546 100000\n38956 58597\n18935 28517\n56254 84372\n13274 19991\n2733 4135\n27274 41072\n77512 100000\n7475 11235\n61185 91773\n56048 84082\n56830 85241\n60975 91464\n97178 100000\n77942 100000\n20272 30570\n75754 100000\n61051 91574\n84624 100000\n81771 100000\n84455 100000\n15296 23048\n97239 100000\n22447 33845\n31123 46874\n92387 100000\n37027 55714\n68687 100000\n85415 100000\n1542 2351\n85245 100000\n38416 57800\n66085 99146\n96113 100000\n22838 34429\n17451 26303\n4789 7195\n66853 100000\n27133 40854\n18816 28342\n94167 100000\n51930 77956\n51016 76588\n66912 100000\n97829 100000\n31669 47704\n27894 42016\n81455 100000\n36335 54653\n74868 100000\n98812 100000\n40521 60941\n28243 42544\n61267 91896\n99134 100000\n98090 100000\n6960 10448\n49094 73699\n94101 100000\n6180 9290\n59732 89621\n36890 55514\n32908 49543\n48140 72293\n82916 100000\n72292 100000\n75446 100000\n5118 7687\n46105 69263\n11664 17574\n3235 4889\n96182 100000\n7644 11487\n30003 45196\n63233 94837\n20625 31105\n83638 100000\n45180 67873\n6390 9601\n92074 100000\n16118 24290\n36254 54522\n50907 76423\n91508 100000\n20231 30509\n27208 40972\n73650 100000\n72372 100000\n72790 100000\n21801 32867\n1432 2194\n85077 100000\n56295 84436\n30249 45561\n68487 100000\n76807 100000\n19839 29914\n4484 6743\n91773 100000\n26976 40623\n36932 55577\n60522 90793\n56522 84789\n89622 100000\n66350 99556\n5732 8611\n24803 37376\n1003 1530\n18991 28601\n61581 92350\n24390 36782\n44792 67286\n55864 83810\n989 1511\n10585 15923\n57655 86493\n54302 81483\n3977 5973\n80295 100000\n8340 12541\n56512 84773\n20635 31120\n70056 100000\n9344 14057\n90962 100000\n22103 33324\n15282 23027\n43089 64759\n71013 100000\n32717 49259\n8963 13488\n72378 100000\n99163 100000\n39841 59932\n81163 100000\n84869 100000\n4596 6907\n73709 100000\n48452 72749\n34033 51202\n48699 73114\n2441 3686\n50397 75659\n98597 100000\n58561 87858\n70456 100000\n72496 100000\n91468 100000\n63540 95295\n86862 100000\n42973 64589\n38436 57827\n50291 75495\n59265 88919\n21494 32392\n49877 74867\n57914 86878\n80824 100000\n97885 100000\n38311 57642\n42789 64308\n97481 100000\n18400 27712\n16800 25325\n66657 100000\n69075 100000\n93374 100000\n14730 22209\n69946 100000\n98770 100000\n48394 72666\n51275 76972\n14345 21616\n44658 67087\n7839 11782\n23599 35579\n35248 53024\n947 1447\n87898 100000\n70752 100000\n22753 34302\n26152 39391\n97853 100000\n86349 100000\n27851 41950\n88236 100000\n57051 85562\n49201 73867\n68911 100000\n83569 100000\n85471 100000\n71577 100000\n18602 28025\n46818 70311\n92788 100000\n7805 11730\n4893 7355\n14876 22426\n73088 100000\n36404 54763\n70729 100000\n97137 100000\n3328 5029\n73425 100000\n56057 84093\n89959 100000\n12884 19396\n14155 21336\n8590 12927\n37491 56409\n5504 8261\n32116 48355\n99246 100000\n20709 31231\n18368 27666\n83858 100000\n1821 2774\n30927 46588\n86691 100000\n88352 100000\n63635 95439\n96880 100000\n80782 100000\n59247 88893\n41911 63011\n74312 100000\n37293 56100\n81272 100000\n22661 34165\n6575 9878\n36366 54701\n7026 10544\n12801 19279\n16504 24872\n3520 5318\n37464 56371\n56805 85205\n24694 37217\n81244 100000\n20440 30824\n8317 12506\n56198 84287\n90837 100000\n62114 93158\n64391 96565\n53576 80382\n24475 36908\n99108 100000\n63717 95561\n42142 63355\n47361 71117\n4063 6103\n25621 38601\n44928 67498\n50531 75855\n314 482\n13054 19657\n369 568\n1931 2938\n64802 97200\n73500 100000\n99509 100000\n38675 58179\n76187 100000\n30172 45451\n11115 16727\n66111 99184\n75141 100000\n49659 74543\n37265 56061\n33449 50332\n12711 19152\n14208 21415\n50547 75880\n33945 51067\n67366 100000\n40532 60958\n51053 76642\n77007 100000\n74223 100000\n18645 28091\n32294 48629\n75866 100000\n74597 100000\n78337 100000\n82583 100000\n35504 53401\n94221 100000\n11209 16872\n3531 5334\n35954 54075\n50089 75182\n64460 96669\n37236 56018\n68506 100000\n14861 22404\n97591 100000\n94266 100000\n98653 100000\n68178 100000\n94034 100000\n13047 19647\n97685 100000\n82594 100000\n84418 100000\n82402 100000\n25317 38145\n88368 100000\n54314 81498\n64721 97075\n65765 98655\n10808 16265\n9388 14122\n57205 85795\n36610 55080\n2615 3956\n25114 37844\n68293 100000\n69009 100000\n28208 42493\n89307 100000\n7096 10658\n9211 13852\n70688 100000\n50628 76001\n1136 1735\n5873 8824\n41548 62461\n82956 100000\n56298 84441\n37355 56200\n68552 100000\n47996 72072\n39072 58773\n26235 39510\n43426 65274\n16277 24536\n78602 100000\n7637 11478\n70303 100000\n90896 100000\n98892 100000\n5876 8828\n95453 100000\n30476 45907\n35653 53630\n30856 46476\n80249 100000\n24103 36340\n13317 20054\n21336 32152\n32586 49066\n2036 3096\n26143 39379\n73145 100000\n54881 82333\n31359 47220\n12019 18113\n66253 99407\n45560 68445\n16621 25049\n18952 28543\n46790 70267\n25578 38539\n20665 31165\n11426 17216\n79021 100000\n64518 96764\n81141 100000\n28665 43195\n75796 100000\n97067 100000\n45924 68990\n30872 46504\n29007 43704\n8240 12391\n38134 57373\n79043 100000\n52060 78139\n19399 29241\n23105 34826\n81796 100000\n71648 100000\n90746 100000\n505 772\n38267 57577\n36292 54582\n54477 81731\n36771 55330\n62287 93432\n50467 75764\n76737 100000\n94975 100000\n17269 26041\n96654 100000\n72462 100000\n76460 100000\n79863 100000\n74902 100000\n25643 38629\n34423 51779\n42280 63552\n37590 56553\n12178 18343\n1473 2255\n49488 74296\n39909 60035\n44558 66937\n41158 61887\n3444 5204\n20452 30841\n54820 82250\n7752 11651\n32194 48476\n39384 59240\n85762 100000\n22920 34555\n91369 100000\n75276 100000\n85947 100000\n47492 71306\n29571 44538\n49767 74706\n27778 41840\n38646 58138\n94920 100000\n6832 10264\n11731 17683\n17903 26981\n79356 100000\n72526 100000\n25039 37736\n7216 10836\n18452 27796\n56779 85169\n23312 35147\n95101 100000\n61673 92493\n56274 84403\n82676 100000\n31790 47877\n35435 53298\n72407 100000\n28694 43243\n19995 30154\n81257 100000\n85602 100000\n93273 100000\n78292 100000\n68161 100000\n30052 45271\n20282 30584\n57639 86470\n83211 100000\n1569 2390\n27611 41587\n29222 44025\n45912 68972\n23598 35577\n85116 100000\n35818 53877\n97847 100000\n12906 19428\n27281 41083\n90752 100000\n46199 69401\n18786 28297\n49460 74253\n79070 100000\n70815 100000\n44001 66125\n1117 1708\n11512 17345\n23777 35841\n80163 100000\n33598 50548\n60014 90046\n38093 57315\n8312 12497\n50519 75839\n1522 2324\n30366 45740\n35496 53391\n57484 86230\n49508 74329\n77282 100000\n64899 97349\n52173 78299\n38545 57981\n12316 18550\n344 529\n11825 17820\n92035 100000\n40353 60691\n69948 100000\n68974 100000\n96401 100000\n24083 36309\n33946 51068\n82377 100000\n34185 51413\n9366 14090\n23069 34775\n68172 100000\n65286 97918\n28837 43460\n333 511\n47129 70775\n48614 72982\n35940 54052\n60565 90855\n82450 100000\n4447 6687\n8078 12151\n58019 87039\n85521 100000\n77190 100000\n86308 100000\n70247 100000\n14628 22050\n28682 43223\n85601 100000\n93494 100000\n6272 9429\n25889 38998\n34544 51959\n50383 75635\n94978 100000\n58101 87163\n79953 100000\n14883 22435\n75934 100000\n85285 100000\n11423 17212\n81465 100000\n25612 38588\n69383 100000\n20465 30863\n76962 100000\n5805 8724\n39815 59898\n73229 100000\n18518 27899\n8729 13136\n98011 100000\n75504 100000\n82215 100000\n20445 30832\n60432 90660\n99264 100000\n97337 100000\n29124 43877\n74243 100000\n9672 14565\n34048 51225\n24224 36529\n22844 34437\n7140 10721\n60462 90703\n13836 20844\n62170 93250\n52526 78817\n80667 100000\n58552 87843\n54041 81097\n61073 91608\n82235 100000\n43824 65866\n58971 88476\n63200 94789\n15602 23510\n90588 100000\n59175 88782\n30034 45240\n70279 100000\n79775 100000\n57459 86194\n41263 62044\n97756 100000\n64036 96052\n30460 45885\n91631 100000\n31591 47585\n6708 10078\n34718 52216\n46727 70168\n50538 75864\n5338 8015\n45526 68387\n49765 74703\n97249 100000\n62362 93543\n32365 48736\n37560 56510\n94860 100000\n37681 56689\n85410 100000\n27656 41656\n50365 75609\n92524 100000\n77713 100000\n72519 100000\n25906 39024\n98462 100000\n23094 34809\n34977 52613\n74406 100000\n86018 100000\n32066 48282\n17496 26370\n39634 59621\n80660 100000\n27602 41572\n9947 14976\n33242 50031\n75121 100000\n45516 68372\n91995 100000\n53112 79694\n49483 74289\n2115 3207\n18837 28372\n6670 10025\n5837 8770\n7945 11944\n54277 81444\n33179 49934\n13666 20588\n71762 100000\n41193 61939\n56557 84842\n2328 3526\n61534 92282\n24641 37137\n97474 100000\n70866 100000\n45835 68858\n40617 61083\n88122 100000\n89480 100000\n58496 87761\n56974 85456\n37482 56396\n99827 100000\n68910 100000\n66167 99272\n97404 100000\n24464 36891\n63257 94873\n78821 100000\n68776 100000\n84574 100000\n24156 36417\n43967 66076\n54718 82096\n74236 100000\n94270 100000\n73416 100000\n57916 86881\n62874 94299\n55083 82635\n96724 100000\n43615 65550\n79849 100000\n59432 89173\n75539 100000\n89004 100000\n36470 54863\n79094 100000\n84345 100000\n81507 100000\n93920 100000\n11908 17945\n44697 67144\n35691 53683\n21146 31871\n99144 100000\n92531 100000\n66988 100000\n5459 8197\n22795 34366\n61027 91542\n93271 100000\n22311 33639\n82551 100000\n15202 22906\n90634 100000\n20296 30601\n95325 100000\n27030 40704\n52411 78653\n50103 75203\n36400 54756\n97830 100000\n21102 31804\n88565 100000\n42086 63266\n15522 23389\n65017 97520\n9523 14336\n4338 6519\n91743 100000\n73945 100000\n56485 84728\n69150 100000\n59017 88544\n25217 37996\n91803 100000\n35846 53918\n37333 56164\n91130 100000\n13443 20245\n62321 93485\n60302 90468\n93871 100000\n29591 44568\n64661 96979\n11805 17787\n84758 100000\n6092 9164\n49261 73957\n90774 100000\n18749 28244\n82222 100000\n76138 100000\n85537 100000\n38120 57354\n59294 88966\n69808 100000\n32582 49061\n59713 89594\n49791 74739\n32428 48831\n32386 48769\n41714 62710\n19379 29209\n3575 5394\n53682 80542\n19598 29545\n20401 30761\n69006 100000\n7484 11248\n49561 74399\n74081 100000\n71324 100000\n91143 100000\n63384 95070\n58201 87312\n30733 46291\n49138 73770\n39993 60161\n87184 100000\n6106 9180\n57988 86994\n90900 100000\n51843 77827\n81382 100000\n40745 61273\n34899 52495\n31890 48030\n85853 100000\n10711 16117\n19171 28879\n64252 96373\n25137 37879\n23019 34702\n72093 100000\n63835 95746\n50221 75387\n19952 30095\n21836 32915\n49285 73989\n40591 61047\n80094 100000\n37196 55962\n35185 52934\n33578 50517\n71046 100000\n18407 27722\n14264 21502\n34686 52171\n82054 100000\n35888 53982\n70889 100000\n98091 100000\n91623 100000\n12198 18372\n2857 4316\n87106 100000\n36359 54691\n2628 3977\n678 1041\n73738 100000\n37546 56490\n76717 100000\n24569 37035\n40339 60669\n50650 76031\n12392 18667\n14489 21842\n82897 100000\n51244 76926\n4357 6543\n2636 3988\n69619 100000\n88633 100000\n26640 40112\n6184 9296\n46381 69666\n71893 100000\n23390 35271\n80958 100000\n47968 72030\n25308 38130\n98726 100000\n4070 6114\n26399 39760\n79459 100000\n34213 51458\n5783 8692\n48945 73480\n14645 22075\n10926 16439\n17597 26516\n84871 100000\n44891 67445\n93509 100000\n54419 81650\n95047 100000\n60422 90642\n2303 3488\n61953 92918\n17085 25758\n936 1429\n64535 96791\n12379 18647\n22663 34169\n1692 2575\n56347 84520\n46739 70188\n70739 100000\n11334 17068\n80218 100000\n46248 69469\n11631 17526\n88375 100000\n31940 48100\n13305 20035\n73539 100000\n35202 52962\n433 665\n84313 100000\n7164 10756\n38955 58596\n9160 13778\n36008 54158\n5248 7877\n39748 59796\n64663 96983\n54135 81234\n77065 100000\n1966 2991\n26659 40145\n86630 100000\n64617 96913\n8987 13527\n34159 51377\n6940 10421\n36542 54973\n95599 100000\n32692 49223\n22377 33738\n16851 25401\n85202 100000\n77164 100000\n70690 100000\n12676 19098\n36798 55371\n92777 100000\n69353 100000\n51888 77894\n34292 51580\n75533 100000\n5639 8467\n13705 20645\n15957 24047\n54005 81044\n22096 33312\n99270 100000\n6492 9759\n58168 87264\n90071 100000\n47388 71156\n7280 10935\n75963 100000\n82628 100000\n97329 100000\n1927 2930\n89049 100000\n26455 39840\n82004 100000\n31974 48146\n50534 75859\n29622 44612\n8000 12028\n71316 100000\n94343 100000\n17534 26424\n82024 100000\n87974 100000\n4799 7212\n2633 3984\n97031 100000\n11126 16743\n93583 100000\n38778 58330\n6731 10117\n88698 100000\n91142 100000\n81346 100000\n45345 68122\n5913 8887\n54323 81511\n62457 93688\n84478 100000\n20086 30292\n38616 58092\n7233 10861\n36951 55603\n60150 90239\n56592 84892\n79598 100000\n54601 81921\n63684 95512\n13573 20450\n62787 94170\n54429 81665\n51859 77848\n52863 79312\n52253 78418\n45214 67921\n9166 13786\n26274 39575\n39137 58872\n10903 16408\n31612 47621\n48196 72383\n63755 95626\n9737 14662\n77518 100000\n63161 94731\n82748 100000\n91636 100000\n50702 76109\n86110 100000\n66232 99372\n28320 42666\n46956 70515\n32358 48725\n63428 95133\n58205 87318\n78264 100000\n23887 36007\n63258 94875\n62139 93201\n93965 100000\n64234 96350\n39511 59426\n9451 14218\n84413 100000\n27121 40836\n55793 83699\n25395 38262\n2555 3869\n75716 100000\n13831 20838\n96563 100000\n68599 100000\n67370 100000\n7354 11047\n65554 98332\n53151 79747\n7067 10612\n93247 100000\n1359 2078\n93266 100000\n83659 100000\n75270 100000\n2540 3846\n11194 16848\n90191 100000\n59149 88743\n6019 9050\n14604 22014\n45755 68743\n97703 100000\n21666 32660\n37397 56266\n98181 100000\n52319 78519\n5799 8716\n87697 100000\n65703 98556\n14775 22273\n83293 100000\n15941 24025\n73888 100000\n76817 100000\n5865 8810\n27275 41074\n91501 100000\n21265 32044\n33451 50335\n58483 87742\n45897 68949\n3396 5133\n12029 18127\n49963 74989\n71362 100000\n24965 37619\n56328 84488\n69534 100000\n16016 24135\n52042 78117\n92761 100000\n15763 23759\n56491 84738\n30008 45203\n89323 100000\n69516 100000\n13204 19885\n98195 100000\n80600 100000\n22546 33989\n32684 49212\n2945 4451\n84809 100000\n22761 34315\n89201 100000\n91070 100000\n75546 100000\n67717 100000\n19314 29108\n1755 2670\n26253 39542\n44992 67596\n7829 11765\n99688 100000\n98617 100000\n43687 65661\n69961 100000\n91248 100000\n17261 26029\n24349 36719\n13821 20820\n74831 100000\n79998 100000\n66486 99756\n81390 100000\n52499 78780\n6193 9307\n38656 58152\n57940 86917\n57887 86841\n77360 100000\n12526 18871\n41302 62100\n43713 65701\n84274 100000\n80835 100000\n51268 76962\n49676 74568\n36595 55052\n86619 100000\n57593 86400\n7183 10789\n66751 100000\n66616 99955\n57146 85705\n348 535\n41647 62610\n59935 89926\n31220 47020\n23913 36047\n38517 57939\n95335 100000\n44546 66919\n777 1197\n20689 31201\n23270 35073\n1474 2257\n38110 57340\n99659 100000\n43099 64775\n37724 56759\n75901 100000\n73152 100000\n59924 89910\n1149 1757\n96997 100000\n5941 8929\n60349 90538\n81607 100000\n18474 27832\n16562 24963\n14965 22557\n63194 94782\n32884 49508\n65397 98093\n33338 50173\n53120 79703\n34911 52515\n71768 100000\n22955 34605\n15770 23771\n29129 43884\n22121 33352\n93284 100000\n74858 100000\n91151 100000\n15092 22741\n34478 51859\n66195 99313\n92899 100000\n50567 75912\n17989 27104\n1712 2609\n14228 21445\n54952 82437\n22295 33616\n60421 90640\n4456 6701\n86537 100000\n38066 57275\n91722 100000\n93355 100000\n23854 35960\n89107 100000\n58799 88222\n30166 45443\n38076 57289\n3356 5072\n90473 100000\n96443 100000\n47553 71400\n50676 76070\n25327 38161\n45112 67773\n45536 68406\n45147 67824\n90218 100000\n56463 84696\n7001 10509\n52904 79372\n78122 100000\n97232 100000\n39864 59964\n9187 13817\n13583 20466\n65109 97658\n24369 36751\n95871 100000\n77951 100000\n94491 100000\n24832 37422\n61623 92411\n37450 56351\n29062 43787\n17013 25647\n72654 100000\n54903 82363\n37842 56934\n27771 41830\n62418 93630\n37557 56506\n18414 27732\n56663 84998\n82099 100000\n27314 41134\n73150 100000\n69918 100000\n44614 67021\n39825 59911\n73215 100000\n2922 4418\n79305 100000\n25475 38385\n44731 67199\n56225 84331\n59670 89523\n69821 100000\n21635 32612\n27132 40852\n92660 100000\n13450 20258\n79336 100000\n53162 79764\n56287 84423\n67729 100000\n15075 22716\n70943 100000\n86035 100000\n955 1461\n73968 100000\n77999 100000\n19902 30016\n30570 46046\n98564 100000\n15214 22922\n10895 16397\n39699 59717\n33577 50516\n94752 100000\n99402 100000\n94508 100000\n67181 100000\n29075 43806\n38273 57586\n12559 18918\n20670 31174\n1688 2567\n17863 26919\n14235 21457\n89846 100000\n25702 38717\n29548 44501\n41000 61651\n69163 100000\n78987 100000\n31998 48179\n10365 15601\n1952 2971\n20951 31584\n31694 47744\n62353 93530\n84245 100000\n32765 49328\n95313 100000\n57431 86152\n97400 100000\n86474 100000\n94540 100000\n65804 98714\n40589 61043\n90815 100000\n83517 100000\n74141 100000\n43741 65741\n26034 39211\n94849 100000\n22401 33778\n56461 84692\n19303 29090\n27539 41476\n58048 87084\n3096 4680\n20264 30561\n44156 66342\n14696 22156\n98599 100000\n55720 83590\n58802 88225\n46869 70381\n79702 100000\n39379 59233\n97992 100000\n73542 100000\n55008 82524\n70327 100000\n93141 100000\n44677 67115\n80027 100000\n19623 29580\n11760 17725\n72375 100000\n31404 47292\n8897 13386\n83917 100000\n85620 100000\n76107 100000\n36253 54520\n74 115\n37595 56562\n84476 100000\n73625 100000\n73590 100000\n84863 100000\n13519 20366\n14272 21515\n94609 100000\n77532 100000\n18885 28445\n53491 80252\n67523 100000\n9865 14851\n61398 92085\n54935 82413\n13469 20291\n85182 100000\n61195 91785\n91680 100000\n55837 83766\n8409 12649\n81467 100000\n52288 78472\n56173 84253\n94897 100000\n74512 100000\n16464 24810\n10072 15167\n49988 75027\n95585 100000\n66090 99153\n5154 7736\n3886 5845\n10126 15248\n86146 100000\n36496 54903\n59542 89330\n37467 56374\n54244 81399\n4518 6798\n79589 100000\n33659 50640\n68747 100000\n65704 98558\n77488 100000\n62199 93298\n65377 98061\n86315 100000\n63347 95009\n42796 64320\n33224 50001\n57032 85536\n92465 100000\n2298 3480\n18815 28341\n65398 98095\n28291 42621\n47208 70880\n6016 9044\n69904 100000\n39664 59665\n98718 100000\n85616 100000\n24859 37458\n77679 100000\n52070 78152\n65860 98801\n29549 44503\n26160 39402\n45856 68888\n36380 54725\n64218 96326\n61184 91771\n60983 91475\n53505 80275\n56400 84603\n42229 63483\n25582 38545\n61265 91894\n85966 100000\n23587 35563\n7767 11673\n21543 32470\n86821 100000\n79076 100000\n94189 100000\n72726 100000\n24620 37108\n27110 40822\n87971 100000\n13719 20665\n88319 100000\n96362 100000\n36372 54711\n17178 25903\n48751 73199\n32434 48840\n23858 35967\n89882 100000\n94411 100000\n20757 31300\n64909 97364\n42006 63153\n24463 36889\n74907 100000\n5321 7987\n17912 26994\n55523 83295\n46393 69686\n84785 100000\n72135 100000\n38880 58483\n29323 44178\n20999 31656\n41643 62604\n74007 100000\n11131 16751\n20819 31392\n51484 77289\n15686 23640\n7425 11159\n99707 100000\n11806 17789\n24758 37314\n80182 100000\n92474 100000\n56771 85157\n57765 86655\n14154 21335\n87552 100000\n37535 56477\n4663 7002\n22499 33923\n33862 50942\n22439 33832\n46657 70075\n90293 100000\n82154 100000\n51088 76691\n5079 7629\n12313 18546\n41909 63009\n68604 100000\n22609 34092\n93044 100000\n57697 86557\n164 247\n55881 83837\n4351 6534\n76358 100000\n35724 53734\n51612 77484\n92058 100000\n74307 100000\n89675 100000\n73847 100000\n46885 70409\n72784 100000\n57027 85528\n47301 71024\n94501 100000\n4541 6832\n68714 100000\n6789 10205\n87079 100000\n91134 100000\n41792 62827\n93881 100000\n67459 100000\n99584 100000\n24262 36587\n13375 20141\n70798 100000\n23700 35730\n70024 100000\n89850 100000\n27734 41768\n56269 84394\n62527 93787\n88796 100000\n6831 10262\n83428 100000\n84504 100000\n94766 100000\n47797 71773\n5683 8531\n52429 78678\n55917 83893\n5800 8717\n60448 90683\n55586 83389\n99973 100000\n88851 100000\n14303 21559\n50781 76235\n76753 100000\n80666 100000\n4519 6799\n2169 3286\n69128 100000\n50666 76054\n17172 25896\n17672 26624\n43446 65301\n12063 18176\n1934 2943\n88938 100000\n62506 93756\n67114 100000\n40549 60985\n84171 100000\n57329 85991\n27400 41270\n79767 100000\n17325 26120\n44399 66701\n85323 100000\n41266 62048\n14145 21321\n96296 100000\n73575 100000\n35892 53986\n66160 99263\n43460 65321\n42932 64524\n50384 75637\n14868 22414\n90595 100000\n32032 48233\n45051 67681\n73526 100000\n2070 3145\n62277 93418\n98191 100000\n87064 100000\n97403 100000\n76495 100000\n34198 51432\n12809 19291\n29962 45132\n25477 38388\n71260 100000\n41874 62955\n30745 46312\n53888 80863\n69363 100000\n6982 10480\n62434 93655\n61062 91591\n84997 100000\n42268 63535\n38355 57705\n65952 98945\n92402 100000\n33419 50290\n54854 82298\n48057 72164\n39024 58697\n413 636\n1442 2206\n26027 39201\n15816 23846\n47530 71365\n69728 100000\n91668 100000\n12697 19129\n86385 100000\n9048 13617\n97043 100000\n8920 13421\n9245 13907\n43134 64829\n23425 35329\n75296 100000\n8859 13333\n58344 87525\n51127 76756\n79261 100000\n27667 41670\n1167 1785\n41982 63119\n20384 30738\n41290 62082\n34804 52346\n17618 26548\n1944 2959\n96940 100000\n3026 4572\n99717 100000\n15991 24097\n23756 35810\n40307 60621\n15419 23223\n31865 47991\n55210 82823\n82060 100000\n34475 51854\n45202 67906\n30725 46277\n49293 74002\n3908 5874\n33147 49890\n86203 100000\n69330 100000\n78822 100000\n8390 12617\n86845 100000\n66367 99581\n60303 90469\n63789 95680\n14137 21309\n56508 84766\n76984 100000\n30043 45256\n37754 56804\n65197 97789\n33981 51119\n80965 100000\n68472 100000\n20733 31263\n98891 100000\n24955 37606\n16291 24559\n65083 97618\n6563 9862\n53706 80582\n9691 14593\n24806 37380\n38168 57425\n43711 65699\n65108 97656\n50352 75591\n25917 39039\n85264 100000\n44407 66714\n31486 47415\n37137 55879\n67712 100000\n78730 100000\n13969 21057\n57523 86289\n52043 78119\n3783 5696\n136 206\n26922 40542\n92756 100000\n10174 15316\n68579 100000\n59424 89163\n61993 92980\n53950 80961\n5369 8064\n98286 100000\n9579 14426\n80749 100000\n11767 17734\n20589 31052\n44855 67386\n84502 100000\n89094 100000\n30862 46488\n53879 80847\n66711 100000\n52584 78908\n82710 100000\n42727 64216\n90143 100000\n46278 69512\n44500 66846\n93343 100000\n14294 21548\n6605 9924\n57510 86268\n88309 100000\n78928 100000\n40571 61017\n63592 95373\n5387 8091\n79577 100000\n6654 10002\n77608 100000\n17521 26406\n45780 68778\n43133 64828\n38461 57865\n56823 85230\n84253 100000\n29211 44010\n83863 100000\n64732 97094\n85260 100000\n63502 95243\n93676 100000\n46515 69864\n92873 100000\n98827 100000\n60906 91366\n83059 100000\n94905 100000\n7399 11120\n85703 100000\n80354 100000\n44062 66209\n25800 38868\n61734 92588\n43445 65299\n94651 100000\n79877 100000\n44323 66586\n81936 100000\n8871 13350\n97194 100000\n77989 100000\n94131 100000\n32565 49037\n76939 100000\n18893 28456\n69883 100000\n61149 91723\n93661 100000\n9343 14056\n13880 20912\n86778 100000\n85480 100000\n87408 100000\n79008 100000\n37217 55991\n80956 100000\n13572 20448\n93913 100000\n86419 100000\n98743 100000\n67805 100000\n63051 94569\n2832 4280\n26669 40160\n22801 34375\n57525 86292\n32102 48337\n68938 100000\n32647 49152\n23860 35971\n31159 46931\n87428 100000\n25566 38521\n77289 100000\n23547 35507\n98557 100000\n3024 4569\n687 1055\n36451 54833\n16283 24546\n74867 100000\n25071 37784\n91965 100000\n13895 20935\n81301 100000\n10454 15734\n71854 100000\n64560 96829\n96748 100000\n66320 99513\n88860 100000\n99209 100000\n62095 93131\n57623 86446\n53024 79553\n35139 52856\n8265 12426\n53247 79885\n42759 64266\n9852 14830\n84302 100000\n6691 10054\n60724 91094\n55848 83785\n98499 100000\n47169 70828\n19401 29244\n58610 87932\n62150 93217\n56798 85196\n13023 19607\n4661 6999\n53656 80505\n43423 65269\n90536 100000\n25125 37860\n53187 79802\n8242 12395\n59127 88712\n51719 77645\n88181 100000\n10049 15132\n63205 94798\n35740 53759\n30782 46369\n97260 100000\n98554 100000\n28367 42736\n79493 100000\n59477 89237\n42798 64323\n54080 81154\n25725 38751\n32005 48190\n14151 21330\n50016 75069\n54845 82285\n21915 33036\n12907 19429\n62159 93234\n40407 60771\n45360 68143\n88677 100000\n3274 4948\n48481 72791\n76655 100000\n82704 100000\n11443 17235\n97393 100000\n35674 53660\n34798 52336\n71938 100000\n64888 97333\n17675 26629\n2250 3409\n78050 100000\n76193 100000\n12100 18226\n53119 79701\n93067 100000\n48674 73075\n86406 100000\n31062 46780\n14043 21164\n50514 75830\n76489 100000\n7430 11166\n45712 68680\n7106 10671\n48156 72319\n26418 39787\n78950 100000\n43973 66083\n68580 100000\n6277 9436\n34280 51559\n93514 100000\n10743 16172\n48694 73106\n45881 68925\n20790 31349\n69459 100000\n80216 100000\n40671 61165\n45674 68624\n97507 100000\n72610 100000\n90756 100000\n2276 3447\n61852 92766\n97254 100000\n63211 94806\n20633 31116\n17346 26152\n42532 63929\n28107 42334\n91786 100000\n73331 100000\n57784 86683\n95548 100000\n65168 97745\n48107 72244\n49223 73902\n77638 100000\n87197 100000\n69376 100000\n36504 54916\n61483 92206\n19002 28621\n4978 7476\n87951 100000\n14416 21733\n9811 14766\n38380 57746\n71523 100000\n22900 34524\n58929 88414\n8589 12925\n42049 63213\n61836 92741\n41773 62795\n49764 74701\n37082 55792\n46681 70110\n51519 77339\n34360 51682\n66372 99587\n81207 100000\n46951 70507\n94604 100000\n97825 100000\n99771 100000\n36589 55043\n95202 100000\n37039 55735\n77992 100000\n94004 100000\n16047 24185\n31505 47447\n79288 100000\n10094 15197\n49334 74065\n55806 83716\n58027 87050\n35003 52653\n92665 100000\n41404 62243\n71692 100000\n25740 38773\n24773 37336\n49793 74743\n2748 4158\n21385 32228\n2706 4095\n70463 100000\n90465 100000\n73435 100000\n18075 27235\n27755 41805\n86001 100000\n19748 29775\n57114 85657\n28174 42437\n15962 24054\n75916 100000\n73393 100000\n55576 83373\n63990 95978\n13130 19773\n25791 38852\n6580 9887\n38089 57310\n69164 100000\n10259 15443\n46575 69957\n14998 22601\n3635 5478\n96195 100000\n18596 28016\n68318 100000\n23915 36050\n8851 13320\n95497 100000\n93417 100000\n57978 86977\n27876 41988\n53090 79662\n10518 15826\n60138 90222\n97318 100000\n27454 41346\n3468 5239\n899 1381\n31667 47700\n4953 7439\n38927 58553\n77112 100000\n83943 100000\n78980 100000\n65515 98275\n39391 59253\n43407 65245\n38508 57930\n96114 100000\n13346 20096\n89340 100000\n19527 29432\n17699 26667\n70117 100000\n42045 63207\n54140 81242\n5640 8468\n66183 99295\n62148 93215\n58703 88074\n90626 100000\n681 1045\n73528 100000\n23736 35782\n27969 42126\n61150 91725\n68017 100000\n75915 100000\n18382 27685\n91275 100000\n12169 18330\n87665 100000\n56819 85225\n71825 100000\n86805 100000\n43330 65128\n12636 19039\n63156 94724\n80357 100000\n33026 49712\n85111 100000\n99073 100000\n93120 100000\n1854 2824\n54684 82045\n4732 7108\n91255 100000\n56726 85094\n90798 100000\n63580 95354\n59988 90006\n53104 79684\n87731 100000\n88560 100000\n57402 86109\n26855 40445\n66490 99764\n85625 100000\n64475 96695\n27604 41576\n3222 4871\n14870 22417\n51328 77049\n29115 43865\n77346 100000\n56360 84541\n4414 6632\n91077 100000\n28071 42280\n71156 100000\n57412 86123\n76987 100000\n91125 100000\n81605 100000\n95996 100000\n54179 81305\n56792 85186\n721 1110\n36701 55223\n85190 100000\n64359 96522\n31445 47352\n22597 34073\n6138 9227\n80 122\n64973 97456\n58336 87513\n28481 42907\n15065 22701\n36305 54604\n7712 11593\n43234 64981\n46909 70441\n37550 56496\n36456 54842\n9580 14427\n87336 100000\n6593 9905\n32253 48567\n49437 74222\n83574 100000\n39594 59558\n59205 88832\n42623 64063\n68383 100000\n41541 62451\n11914 17954\n17708 26681\n72883 100000\n35553 53476\n29648 44652\n70155 100000\n15594 23498\n20716 31242\n17408 26242\n78263 100000\n21611 32577\n27925 42063\n16308 24584\n4215 6330\n99872 100000\n98149 100000\n7244 10879\n95680 100000\n77034 100000\n20267 30564\n36194 54435\n98767 100000\n92659 100000\n76818 100000\n47278 70991\n86627 100000\n79639 100000\n86316 100000\n96104 100000\n56766 85150\n78021 100000\n43025 64665\n27587 41548\n45377 68165\n55940 83925\n75589 100000\n52368 78585\n64643 96953\n79210 100000\n13302 20030\n5489 8236\n45920 68984\n40092 60303\n74466 100000\n50737 76168\n60878 91324\n81727 100000\n56265 84387\n6663 10015\n98766 100000\n67086 100000\n29288 44127\n18522 27906\n2920 4415\n89101 100000\n33314 50134\n14275 21520\n69934 100000\n79060 100000\n12886 19399\n94186 100000\n10122 15241\n29236 44047\n30126 45382\n93710 100000\n28649 43166\n30605 46096\n18297 27566\n90891 100000\n42410 63744\n82064 100000\n42966 64577\n24297 36640\n17349 26156\n57973 86970\n41414 62258\n64321 96471\n35887 53980\n77758 100000\n56744 85118\n3085 4661\n50918 76440\n13314 20050\n94140 100000\n76565 100000\n44315 66577\n60376 90575\n97185 100000\n60377 90576\n41830 62884\n79481 100000\n79315 100000\n7199 10809\n28232 42529\n93666 100000\n81675 100000\n75969 100000\n81138 100000\n98839 100000\n94339 100000\n72341 100000\n96162 100000\n55316 82986\n79257 100000\n15660 23601\n51514 77334\n8725 13131\n30122 45376\n32302 48642\n90562 100000\n65521 98285\n44405 66711\n58720 88101\n64387 96558\n60991 91488\n79819 100000\n7517 11294\n59849 89796\n22357 33708\n68884 100000\n16344 24638\n68400 100000\n93311 100000\n3260 4926\n8715 13116\n13626 20525\n70912 100000\n71889 100000\n3749 5647\n15022 22636\n32505 48948\n49386 74144\n54988 82494\n35351 53175\n5793 8707\n55425 83146\n76771 100000\n74892 100000\n67407 100000\n6141 9232\n15504 23356\n22160 33412\n64477 96698\n54089 81166\n95006 100000\n70103 100000\n81079 100000\n36227 54486\n75108 100000\n51028 76606\n40373 60718\n38771 58321\n12681 19105\n89595 100000\n26195 39454\n49362 74104\n76618 100000\n60058 90108\n40810 61367\n51782 77737\n76060 100000\n15834 23872\n19129 28811\n53124 79709\n78044 100000\n13402 20183\n58964 88466\n28129 42369\n28855 43488\n13088 19710\n19851 29930\n80334 100000\n53209 79831\n78544 100000\n62744 94108\n59647 89490\n14850 22388\n92425 100000\n42155 63375\n10891 16390\n15616 23531\n6724 10103\n53780 80694\n94076 100000\n68656 100000\n32202 48489\n89912 100000\n83873 100000\n67998 100000\n68589 100000\n47929 71974\n25951 39087\n95049 100000\n65361 98037\n87249 100000\n67298 100000\n44983 67583\n4552 6846\n41496 62383\n82412 100000\n94345 100000\n70004 100000\n52328 78530\n20063 30259\n32297 48635\n49619 74486\n3105 4691\n5366 8059\n75315 100000\n34926 52536\n90898 100000\n75503 100000\n40708 61218\n13413 20201\n56238 84349\n11558 17417\n75493 100000\n95166 100000\n5853 8791\n11648 17552\n73248 100000\n5508 8266\n79379 100000\n17076 25744\n3433 5188\n15337 23105\n56122 84184\n56716 85079\n87081 100000\n46003 69106\n85109 100000\n27286 41090\n90647 100000\n91389 100000\n35786 53827\n1187 1813\n34833 52391\n4218 6333\n60781 91184\n11970 18036\n23828 35920\n58734 88122\n84127 100000\n21962 33107\n16334 24626\n3948 5933\n58055 87095\n81435 100000\n67698 100000\n35883 53975\n14077 21217\n54078 81150\n64190 96280\n5334 8009\n61172 91756\n10623 15980\n32176 48448\n59349 89057\n76721 100000\n52639 78982\n70193 100000\n45604 68513\n63350 95013\n97835 100000\n7625 11462\n38055 57258\n72641 100000\n31717 47775\n6726 10107\n58080 87134\n54196 81330\n43685 65658\n10936 16453\n46825 70322\n33367 50211\n47292 71010\n43292 65073\n33058 49759\n15655 23593\n32292 48625\n82350 100000\n52336 78543\n58374 87574\n61170 91754\n47576 71437\n49301 74016\n89074 100000\n78485 100000\n67398 100000\n2813 4253\n44643 67063\n13618 20514\n67033 100000\n60777 91179\n61090 91630\n87194 100000\n96669 100000\n74533 100000\n77043 100000\n24004 36187\n32784 49356\n92399 100000\n62505 93755\n51365 77107\n63845 95761\n38035 57226\n24073 36294\n61485 92209\n18272 27528\n90871 100000\n87712 100000\n1896 2887\n54004 81043\n94003 100000\n75465 100000\n47777 71741\n34986 52628\n36776 55338\n58546 87835\n92792 100000\n7816 11746\n50304 75515\n19683 29674\n62493 93739\n87450 100000\n62921 94370\n71369 100000\n96648 100000\n87162 100000\n86572 100000\n50083 75172\n35601 53552\n79704 100000\n56258 84378\n27202 40963\n22626 34119\n41286 62074\n47661 71565\n35386 53227\n2516 3807\n26910 40528\n48346 72595\n31184 46968\n46986 70559\n70512 100000\n84358 100000\n66882 100000\n22405 33784\n45548 68426\n43269 65033\n74170 100000\n25699 38712\n7894 11862\n27163 40902\n32847 49450\n45977 69069\n24994 37666\n72803 100000\n93609 100000\n33762 50798\n76840 100000\n68411 100000\n70673 100000\n57011 85507\n47218 70895\n72061 100000\n25411 38287\n84895 100000\n99876 100000\n89157 100000\n69623 100000\n39525 59449\n13122 19761\n10212 15370\n69185 100000\n42571 63987\n49046 73630\n90813 100000\n77062 100000\n36976 55639\n97538 100000\n84522 100000\n74434 100000\n11189 16840\n60296 90458\n25119 37850\n21438 32305\n43920 66006\n91292 100000\n51900 77913\n49091 73695\n92037 100000\n63983 95967\n20056 30247\n61667 92484\n76732 100000\n88656 100000\n26775 40328\n78016 100000\n6163 9264\n22566 34019\n5558 8343\n31479 47404\n90255 100000\n22074 33275\n34303 51597\n36938 55585\n89738 100000\n53787 80706\n71040 100000\n83152 100000\n33470 50361\n68407 100000\n40738 61265\n63615 95412\n50307 75520\n12012 18101\n89625 100000\n65908 98877\n56223 84329\n97804 100000\n36717 55246\n8823 13281\n61328 91980\n59238 88882\n5425 8145\n83797 100000\n5961 8960\n18483 27846\n16451 24791\n60562 90850\n86275 100000\n49756 74688\n79928 100000\n99403 100000\n77920 100000\n21317 32124\n69679 100000\n77909 100000\n92666 100000\n46600 69991\n51631 77513\n46961 70523\n24684 37202\n16006 24120\n69095 100000\n8687 13074\n80985 100000\n17688 26649\n48842 73330\n59933 89923\n11071 16660\n9972 15013\n57287 85919\n17892 26967\n91419 100000\n39728 59766\n54685 82046\n95168 100000\n50370 75615\n57196 85779\n29772 44846\n68523 100000\n72950 100000\n86563 100000\n75750 100000\n73295 100000\n74264 100000\n68239 100000\n88329 100000\n90033 100000\n16122 24296\n95427 100000\n99643 100000\n76521 100000\n81967 100000\n93848 100000\n91598 100000\n109 162\n77509 100000\n46281 69516\n53722 80608\n72427 100000\n66424 99667\n77106 100000\n86684 100000\n52400 78638\n33943 51063\n21774 32828\n10738 16163\n5629 8450\n87186 100000\n76752 100000\n47063 70669\n24190 36470\n91123 100000\n8574 12900\n88853 100000\n70657 100000\n53979 81004\n51488 77294\n48799 73266\n62800 94193\n12083 18203\n79940 100000\n30461 45886\n70949 100000\n11551 17406\n22958 34611\n26898 40509\n42452 63801\n73440 100000\n4527 6811\n41759 62773\n71145 100000\n87084 100000\n23482 35414\n68405 100000\n21363 32195\n12110 18240\n91305 100000\n3698 5571\n73668 100000\n57541 86317\n98688 100000\n53969 80991\n94104 100000\n86333 100000\n25541 38484\n76338 100000\n14790 22295\n30293 45632\n77782 100000\n78864 100000\n92487 100000\n35997 54140\n86285 100000\n77572 100000\n5470 8213\n64694 97032\n38681 58186\n10811 16270\n16607 25030\n46586 69972\n49667 74555\n97673 100000\n49375 74125\n15698 23658\n51926 77949\n28146 42395\n64616 96911\n71057 100000\n60139 90224\n59080 88641\n70511 100000\n83642 100000\n75714 100000\n40499 60907\n3240 4896\n6108 9183\n47923 71965\n9161 13779\n76988 100000\n66099 99166\n92723 100000\n99756 100000\n58557 87853\n42506 63885\n20441 30826\n87323 100000\n76532 100000\n54671 82026\n5542 8320\n73488 100000\n66989 100000\n56881 85318\n94574 100000\n49815 74775\n97542 100000\n70508 100000\n1130 1728\n1619 2466\n9769 14705\n13759 20730\n75182 100000\n62596 93889\n13549 20414\n82365 100000\n37231 56012\n87043 100000\n72966 100000\n4420 6642\n20351 30686\n64244 96362\n28704 43256\n95081 100000\n79965 100000\n67681 100000\n22184 33449\n35095 52790\n99394 100000\n18 28\n18883 28442\n9217 13860\n17017 25654\n9955 14988\n32508 48953\n14743 22228\n76361 100000\n77604 100000\n94372 100000\n34483 51865\n20956 31591\n29280 44114\n33415 50284\n17199 25937\n12616 19008\n40819 61381\n76811 100000\n48860 73358\n86185 100000\n75113 100000\n97917 100000\n16995 25619\n51757 77703\n39585 59542\n84943 100000\n69234 100000\n74982 100000\n36390 54740\n81833 100000\n37071 55775\n83946 100000\n6033 9073\n75615 100000\n89367 100000\n32463 48887\n95517 100000\n44176 66368\n73927 100000\n29653 44659\n4500 6769\n12985 19548\n98895 100000\n94162 100000\n4711 7076\n83372 100000\n61362 92033\n81750 100000\n37903 57030\n81348 100000\n32445 48857\n29977 45156\n67718 100000\n11911 17950\n9806 14760\n44131 66307\n82440 100000\n94781 100000\n89782 100000\n73146 100000\n64125 96189\n5101 7661\n93578 100000\n83450 100000\n28878 43516\n82795 100000\n92699 100000\n7704 11578\n96099 100000\n13170 19834\n62020 93020\n24167 36433\n74908 100000\n66055 99097\n33047 49745\n49596 74451\n11987 18061\n69642 100000\n58138 87221\n10121 15239\n10465 15750\n54926 82398\n84037 100000\n22337 33679\n4158 6240\n25766 38815\n29576 44547\n65244 97852\n71525 100000\n48500 72819\n38023 57210\n28971 43651\n39987 60151\n43618 65555\n63503 95244\n47345 71092\n30890 46532\n53250 79889\n4979 7477\n65270 97896\n30592 46080\n75411 100000\n35835 53903\n86586 100000\n36651 55143\n76218 100000\n55292 82949\n4403 6615\n49061 73651\n20428 30805\n34799 52338\n68723 100000\n51418 77186\n97678 100000\n33913 51019\n61979 92957\n68677 100000\n53548 80342\n27783 41848\n42828 64365\n37171 55928\n63223 94823\n58108 87173\n31776 47858\n58956 88453\n78686 100000\n15390 23181\n97704 100000\n70371 100000\n25692 38700\n7034 10557\n14140 21315\n43503 65382\n34821 52372\n31236 47044\n5625 8444\n77606 100000\n47295 71016\n26911 40529\n46147 69324\n2329 3527\n22094 33308\n58679 88037\n36490 54896\n28118 42353\n73186 100000\n93695 100000\n3263 4931\n73582 100000\n95623 100000\n71016 100000\n97459 100000\n47678 71588\n46054 69184\n16113 24283\n75968 100000\n94990 100000\n20293 30598\n68789 100000\n86979 100000\n30195 45483\n81459 100000\n20967 31609\n59694 89566\n66589 99911\n98533 100000\n42915 64494\n17754 26754\n85855 100000\n791 1218\n4297 6458\n175 266\n82045 100000\n91277 100000\n28746 43322\n71043 100000\n38386 57754\n367 566\n33450 50333\n89818 100000\n17264 26034\n21580 32530\n15158 22839\n31245 47055\n90296 100000\n73634 100000\n80327 100000\n51585 77441\n7072 10619\n26192 39451\n45606 68517\n61688 92517\n30796 46390\n89808 100000\n97602 100000\n88165 100000\n59421 89159\n39533 59461\n64812 97214\n70644 100000\n19627 29586\n55363 83049\n83290 100000\n57570 86366\n58531 87813\n99009 100000\n19878 29977\n83178 100000\n86811 100000\n98830 100000\n78143 100000\n93616 100000\n98004 100000\n7077 10629\n26502 39914\n75343 100000\n11907 17943\n93070 100000\n73249 100000\n13271 19988\n98113 100000\n50141 75265\n91980 100000\n59873 89833\n88173 100000\n61808 92697\n74482 100000\n7247 10883\n75010 100000\n24578 37049\n57637 86468\n20029 30204\n76528 100000\n62705 94051\n83090 100000\n113 169\n90139 100000\n27086 40788\n44968 67559\n2444 3692\n29676 44693\n10327 15545\n81320 100000\n76542 100000\n59369 89090\n29168 43946\n89119 100000\n47607 71480\n83100 100000\n3244 4903\n39389 59249\n77185 100000\n19352 29166\n61951 92915\n25744 38778\n1222 1865\n36452 54835\n33725 50740\n35629 53596\n78709 100000\n29263 44090\n16931 25524\n46095 69249\n49484 74290\n16345 24639\n59557 89355\n74668 100000\n68186 100000\n55734 83610\n98724 100000\n67149 100000\n3480 5260\n19715 29721\n70285 100000\n42369 63679\n5043 7577\n64132 96198\n11429 17219\n48859 73357\n75099 100000\n9291 13981\n82544 100000\n41393 62228\n28997 43689\n94976 100000\n45895 68947\n95280 100000\n68114 100000\n31198 46988\n6778 10189\n8913 13411\n64229 96343\n93211 100000\n23086 34798\n14167 21352\n10093 15196\n58603 87919\n96577 100000\n29342 44209\n98680 100000\n37641 56632\n6312 9486\n46348 69614\n81243 100000\n36465 54856\n86389 100000\n51586 77443\n66804 100000\n72346 100000\n66310 99496\n38619 58098\n82244 100000\n71520 100000\n6546 9840\n63034 94544\n38896 58506\n54378 81588\n92907 100000\n30485 45922\n83231 100000\n65687 98532\n3362 5081\n91775 100000\n46797 70276\n83057 100000\n15000 22605\n59475 89234\n81428 100000\n66469 99729\n80685 100000\n98238 100000\n13948 21026\n57815 86725\n65535 98303\n51292 76997\n37481 56395\n98761 100000\n2106 3196\n36762 55318\n19732 29749\n39648 59640\n22853 34453\n63841 95753\n79900 100000\n76241 100000\n40974 61611\n20546 30990\n86249 100000\n59393 89122\n14129 21295\n13963 21051\n42203 63445\n3327 5027\n12988 19554\n14594 21997\n5420 8137\n71894 100000\n39645 59636\n18048 27191\n79882 100000\n28910 43563\n81238 100000\n13368 20129\n31605 47608\n36810 55390\n72848 100000\n63393 95084\n96295 100000\n2302 3486\n90211 100000\n37105 55828\n25617 38594\n31996 48177\n67325 100000\n55483 83233\n31617 47629\n46819 70312\n57211 85804\n57532 86304\n92821 100000\n98550 100000\n67662 100000\n25670 38666\n23010 34688\n74260 100000\n30526 45983\n12875 19382\n1217 1859\n48904 73423\n77101 100000\n91609 100000\n54002 81039\n5302 7959\n78041 100000\n71297 100000\n28267 42582\n75526 100000\n50484 75788\n36422 54791\n72946 100000\n42591 64019\n99365 100000\n33175 49928\n3123 4718\n6326 9508\n50334 75563\n57626 86451\n83131 100000\n88495 100000\n82923 100000\n16221 24453\n17089 25763\n3218 4864\n44704 67155\n52027 78096\n11698 17630\n24271 36600\n37987 57160\n67871 100000\n46190 69387\n52918 79394\n42721 64208\n74280 100000\n47126 70771\n15102 22758\n91452 100000\n89290 100000\n20929 31554\n51533 77360\n46985 70557\n87960 100000\n45545 68420\n94528 100000\n12774 19241\n18710 28186\n36964 55620\n80861 100000\n7240 10872\n28322 42670\n20098 30311\n96873 100000\n54394 81612\n56869 85301\n40116 60340\n72359 100000\n63971 95947\n42034 63191\n58460 87710\n22171 33428\n8260 12420\n53909 80893\n45986 69082\n13580 20460\n16649 25091\n44304 66559\n51336 77061\n63124 94679\n67418 100000\n60631 90956\n78467 100000\n60881 91328\n23742 35791\n63952 95918\n86432 100000\n50198 75349\n98270 100000\n22487 33906\n85056 100000\n18415 27733\n48220 72415\n16907 25489\n84550 100000\n3401 5139\n38867 58459\n24213 36508\n48108 72246\n47940 71993\n34102 51301\n8681 13065\n29135 43893\n79197 100000\n47527 71361\n99909 100000\n68636 100000\n72129 100000\n75290 100000\n18314 27593\n60260 90404\n24996 37669\n58636 87969\n21857 32950\n12659 19074\n56975 85457\n59784 89699\n17340 26144\n97457 100000\n78629 100000\n28908 43560\n61277 91912\n27663 41665\n62990 94476\n7488 11252\n9094 13681\n69456 100000\n98532 100000\n39546 59479\n83826 100000\n41887 62974\n16131 24311\n53490 80250\n5274 7921\n68685 100000\n89448 100000\n1983 3018\n52581 78902\n65695 98544\n50343 75577\n69527 100000\n35631 53600\n70352 100000\n91548 100000\n31777 47860\n87342 100000\n10086 15186\n80871 100000\n43980 66094\n22342 33687\n62174 93256\n73921 100000\n43175 64890\n57423 86140\n50594 75951\n13960 21045\n36316 54620\n25923 39048\n22774 34334\n33013 49693\n77307 100000\n27031 40706\n53770 80679\n35870 53953\n23474 35402\n52841 79279\n45770 68764\n63873 95800\n17776 26786\n14971 22567\n56840 85258\n90557 100000\n66058 99102\n81307 100000\n12936 19471\n93823 100000\n6118 9195\n99706 100000\n91719 100000\n13753 20719\n99651 100000\n15690 23644\n89249 100000\n98741 100000\n52463 78727\n27990 42157\n6891 10350\n83401 100000\n66851 100000\n4250 6381\n13010 19589\n60388 90593\n55061 82600\n26614 40067\n50425 75704\n35648 53622\n88013 100000\n50616 75982\n84738 100000\n73811 100000\n12626 19023\n74947 100000\n63777 95660\n58400 87616\n96944 100000\n53655 80504\n30053 45273\n31555 47525\n6956 10442\n85775 100000\n13534 20389\n45959 69041\n92426 100000\n65284 97915\n25534 38474\n22621 34113\n93352 100000\n54397 81617\n51676 77581\n30993 46678\n69042 100000\n66439 99690\n99247 100000\n34169 51388\n590 905\n64575 96853\n65441 98159\n5570 8362\n11747 17710\n69864 100000\n64781 97169\n25306 38128\n77404 100000\n72247 100000\n65487 98229\n22679 34196\n28853 43485\n14693 22151\n5896 8857\n44046 66187\n43681 65653\n3778 5689\n90577 100000\n57214 85809\n64038 96056\n36894 55520\n37764 56821\n48991 73547\n74046 100000\n21012 31676\n2620 3964\n82910 100000\n92889 100000\n43929 66022\n94625 100000\n35336 53151\n31412 47304\n52443 78697\n83549 100000\n71580 100000\n26516 39933\n24026 36223\n8813 13267\n12368 18632\n26082 39284\n4382 6581\n16671 25122\n78902 100000\n17978 27089\n56181 84265\n92538 100000\n60401 90613\n58556 87851\n6517 9796\n65332 97991\n87482 100000\n44807 67312\n74532 100000\n58905 88374\n34315 51619\n14982 22581\n1532 2338\n56063 84102\n60566 90857\n38423 57808\n68969 100000\n69773 100000\n39386 59244\n11010 16567\n12638 19042\n43173 64887\n68431 100000\n44385 66680\n12480 18804\n99189 100000\n10421 15685\n38481 57894\n62934 94389\n89779 100000\n3378 5104\n15248 22975\n52178 78307\n31541 47504\n87125 100000\n46578 69961\n23450 35362\n69867 100000\n34988 52630\n68039 100000\n43235 64982\n90448 100000\n86442 100000\n21318 32126\n61086 91626\n90234 100000\n83195 100000\n60515 90784\n23046 34744\n45947 69024\n59965 89971\n48967 73511\n75697 100000\n84998 100000\n85372 100000\n27419 41295\n42816 64347\n41930 63040\n88913 100000\n64637 96944\n81453 100000\n38906 58521\n18180 27388\n12079 18199\n43080 64746\n40236 60517\n70849 100000\n48733 73170\n23173 34927\n53133 79723\n94915 100000\n79386 100000\n99529 100000\n22818 34399\n30762 46338\n38865 58455\n55291 82948\n73021 100000\n40248 60533\n18623 28059\n68100 100000\n69504 100000\n471 720\n71496 100000\n50720 76140\n12998 19569\n11215 16881\n45294 68041\n72764 100000\n47545 71389\n73446 100000\n26280 39583\n37609 56585\n54310 81492\n95264 100000\n67209 100000\n67779 100000\n55074 82620\n31813 47911\n82735 100000\n99351 100000\n37692 56706\n33841 50914\n8529 12829\n65669 98505\n34518 51922\n35421 53278\n6251 9396\n28413 42806\n11451 17248\n32654 49162\n61630 92424\n20581 31041\n88868 100000\n39357 59202\n99537 100000\n49475 74276\n51036 76615\n58683 88043\n71416 100000\n7284 10941\n21970 33120\n68593 100000\n8981 13518\n83146 100000\n15365 23146\n91437 100000\n46145 69321\n35907 54007\n30275 45600\n65910 98879\n69936 100000\n12300 18528\n17693 26657\n97491 100000\n87807 100000\n81803 100000\n593 910\n91190 100000\n31125 46878\n35993 54134\n48869 73371\n98899 100000\n74200 100000\n44644 67065\n60670 91012\n77444 100000\n79818 100000\n20491 30905\n72081 100000\n25314 38139\n33848 50923\n63395 95087\n10378 15621\n72253 100000\n70106 100000\n35657 53636\n13609 20499\n51240 76921\n59588 89402\n5278 7927\n70869 100000\n98420 100000\n69482 100000\n1491 2284\n14822 22343\n16130 24309\n78949 100000\n89863 100000\n39408 59276\n55580 83379\n17162 25881\n62421 93634\n34383 51720\n83032 100000\n89140 100000\n2940 4445\n59300 88975\n8840 13305\n83830 100000\n96405 100000\n75087 100000\n89371 100000\n92272 100000\n78611 100000\n73734 100000\n90509 100000\n66324 99518\n62154 93224\n4054 6090\n96310 100000\n2042 3104\n39761 59816\n36226 54484\n30194 45481\n10567 15899\n3006 4543\n99272 100000\n15431 23240\n48055 72160\n48477 72785\n9403 14150\n18252 27496\n78743 100000\n40451 60838\n37050 55749\n55311 82979\n63648 95457\n3890 5849\n3925 5897\n93394 100000\n66961 100000\n60517 90786\n26183 39436\n28064 42267\n27666 41669\n1284 1955\n57557 86342\n95641 100000\n82767 100000\n23288 35106\n2039 3100\n29537 44485\n24350 36721\n14241 21466\n94405 100000\n34763 52286\n27045 40727\n73812 100000\n19836 29909\n74866 100000\n72739 100000\n5709 8574\n46476 69808\n75085 100000\n79930 100000\n63701 95537\n68528 100000\n19444 29310\n18409 27724\n58034 87060\n96949 100000\n84233 100000\n91945 100000\n17400 26230\n95807 100000\n15474 23310\n73323 100000\n76950 100000\n79220 100000\n88374 100000\n71627 100000\n81517 100000\n80567 100000\n73673 100000\n81256 100000\n45065 67701\n18278 27536\n64799 97196\n40881 61472\n25180 37943\n79724 100000\n2739 4145\n84681 100000\n94886 100000\n93431 100000\n88955 100000\n16315 24594\n83288 100000\n11889 17915\n16477 24832\n51853 77839\n49732 74651\n99465 100000\n15250 22977\n69988 100000\n97848 100000\n65413 98120\n89827 100000\n22379 33742\n47513 71339\n2196 3328\n16922 25510\n8562 12879\n29145 43909\n51369 77113\n63515 95260\n96914 100000\n39418 59289\n10224 15387\n37572 56528\n86019 100000\n35322 53128\n86121 100000\n29704 44736\n71137 100000\n41722 62721\n19298 29081\n38307 57635\n78428 100000\n39693 59708\n53783 80699\n67595 100000\n30978 46659\n88649 100000\n19761 29794\n6142 9233\n26020 39191\n30408 45803\n36583 55035\n38362 57716\n42412 63748\n83124 100000\n67684 100000\n83994 100000\n3333 5039\n59374 89097\n11167 16804\n9959 14995\n97188 100000\n88026 100000\n91483 100000\n96552 100000\n15808 23833\n68733 100000\n79225 100000\n14913 22481\n93734 100000\n20823 31399\n31399 47285\n37064 55766\n65960 98956\n10343 15566\n74954 100000\n19678 29668\n83898 100000\n467 715\n39044 58727\n73986 100000\n85955 100000\n15131 22803\n13551 20418\n40426 60799\n82514 100000\n67792 100000\n64731 97092\n62497 93744\n76032 100000\n85153 100000\n68365 100000\n5642 8471\n81215 100000\n59604 89428\n85673 100000\n20032 30209\n70611 100000\n83804 100000\n31905 48051\n91612 100000\n65378 98062\n24878 37489\n87330 100000\n82614 100000\n45227 67942\n38809 58373\n24028 36226\n2925 4424\n24303 36649\n33267 50069\n44726 67190\n84394 100000\n64666 96987\n10746 16177\n21607 32573\n61399 92086\n9684 14585\n58059 87101\n5653 8487\n11557 17416\n99887 100000\n91794 100000\n64341 96500\n60442 90677\n95401 100000\n3344 5057\n79699 100000\n19535 29441\n54749 82143\n21043 31720\n23239 35027\n15754 23746\n77708 100000\n24268 36595\n57181 85757\n26932 40555\n93104 100000\n50820 76293\n35495 53389\n80890 100000\n67699 100000\n5295 7949\n40502 60911\n48051 72155\n24393 36787\n45248 67970\n48607 72972\n75198 100000\n73705 100000\n70719 100000\n25572 38530\n84179 100000\n77141 100000\n39716 59747\n89815 100000\n31052 46764\n38915 58533\n82308 100000\n52021 78087\n60118 90193\n41134 61851\n98758 100000\n77928 100000\n74852 100000\n81400 100000\n93963 100000\n51744 77685\n93161 100000\n66686 100000\n66146 99240\n20284 30586\n33792 50845\n59904 89882\n19507 29403\n43511 65391\n53478 80231\n55101 82659\n34508 51905\n61193 91781\n43337 65139\n11393 17165\n33051 49750\n32814 49399\n27741 41780\n88705 100000\n39167 58917\n75435 100000\n17065 25728\n73076 100000\n92669 100000\n51619 77496\n11585 17458\n58402 87619\n23018 34700\n32921 49562\n23525 35476\n71791 100000\n16335 24627\n18733 28218\n70420 100000\n37907 57037\n36880 55496\n93828 100000\n61305 91951\n18234 27471\n5469 8211\n88018 100000\n33021 49705\n47103 70737\n73447 100000\n1923 2923\n37225 56002\n6126 9209\n90049 100000\n13888 20924\n88004 100000\n5373 8070\n5055 7596\n38694 58208\n1972 3001\n16574 24978\n34543 51957\n25194 37961\n62135 93195\n31895 48036\n12532 18880\n69503 100000\n50740 76172\n44984 67585\n83683 100000\n87621 100000\n95933 100000\n69036 100000\n94551 100000\n65866 98809\n78798 100000\n48424 72707\n2255 3415\n56714 85075\n36543 54974\n52260 78428\n90629 100000\n60949 91429\n37422 56305\n72089 100000\n72246 100000\n19815 29873\n46388 69678\n31635 47653\n33935 51050\n35121 52828\n35705 53704\n89246 100000\n85350 100000\n70275 100000\n1647 2508\n60676 91024\n85321 100000\n45250 67973\n8962 13487\n58528 87809\n41989 63131\n63564 95332\n98492 100000\n9490 14281\n31059 46776\n5856 8796\n72548 100000\n25855 38949\n69035 100000\n74914 100000\n21553 32486\n32622 49119\n31521 47471\n41863 62937\n97633 100000\n73992 100000\n74915 100000\n89906 100000\n63289 94923\n10995 16541\n8402 12637\n37083 55793\n68961 100000\n61029 91544\n54839 82276\n2987 4513\n95665 100000\n61742 92601\n92106 100000\n75693 100000\n98389 100000\n76065 100000\n70781 100000\n55802 83709\n28726 43290\n54738 82124\n76378 100000\n89913 100000\n47312 71040\n11774 17744\n4163 6248\n11212 16876\n25124 37858\n47878 71893\n30073 45302\n57494 86245\n18668 28126\n27320 41143\n53189 79805\n39795 59869\n42416 63754\n15801 23822\n74719 100000\n48012 72097\n76 117\n59405 89138\n2629 3978\n25973 39119\n48321 72561\n43310 65100\n92444 100000\n42706 64185\n49338 74071\n30600 46089\n55240 82866\n50002 75049\n36382 54728\n32433 48838\n53127 79713\n6224 9355\n79991 100000\n38914 58531\n29525 44467\n19137 28826\n20380 30731\n40551 60988\n69225 100000\n48535 72870\n8464 12727\n47649 71544\n77322 100000\n15990 24095\n46737 70184\n80243 100000\n32279 48606\n63513 95257\n24624 37114\n21016 31681\n26829 40403\n14159 21341\n17414 26250\n86376 100000\n33983 51123\n19481 29364\n82618 100000\n56959 85435\n30553 46021\n74338 100000\n70129 100000\n44005 66130\n47745 71692\n24983 37648\n26342 39675\n61631 92426\n34060 51241\n22814 34393\n48744 73188\n51260 76950\n92883 100000\n79323 100000\n36575 55023\n20334 30655\n43989 66108\n82730 100000\n34288 51573\n87378 100000\n14804 22315\n32595 49078\n10763 16200\n51765 77713\n83249 100000\n59399 89130\n3457 5223\n35555 53478\n12447 18752\n21653 32640\n4076 6122\n38558 58001\n40916 61523\n51474 77273\n11723 17668\n24906 37531\n62494 93740\n71629 100000\n60602 90914\n44550 66925\n57981 86982\n9334 14043\n31371 47240\n12150 18301\n6302 9471\n60374 90572\n24211 36505\n31377 47250\n68788 100000\n65776 98673\n94805 100000\n87315 100000\n71539 100000\n50066 75145\n52670 79024\n82827 100000\n35223 52990\n94600 100000\n24659 37165\n50579 75929\n5345 8025\n37943 57093\n84285 100000\n95441 100000\n7523 11304\n36663 55163\n18306 27581\n39621 59600\n23102 34822\n57411 86122\n96207 100000\n44914 67478\n94308 100000\n60650 90984\n57586 86391\n91290 100000\n41287 62076\n36708 55234\n74578 100000\n28149 42399\n4860 7302\n38005 57186\n18323 27607\n85181 100000\n30288 45624\n81724 100000\n80884 100000\n89598 100000\n39403 59270\n27295 41103\n83414 100000\n51221 76895\n92992 100000\n23830 35923\n36545 54977\n82261 100000\n91065 100000\n69832 100000\n65279 97909\n23300 35125\n75840 100000\n5496 8249\n89332 100000\n51976 78018\n5532 8306\n48950 73487\n31692 47741\n52324 78525\n59741 89635\n51913 77931\n99788 100000\n16090 24248\n78538 100000\n86858 100000\n18023 27153\n13501 20337\n76324 100000\n14596 22001\n58298 87456\n71833 100000\n87528 100000\n36345 54668\n3149 4761\n40574 61020\n39267 59061\n69190 100000\n12508 18846\n30113 45362\n76723 100000\n8857 13330\n92150 100000\n3618 5455\n49410 74177\n17086 25759\n22811 34390\n87674 100000\n11962 18023\n57097 85631\n46262 69490\n8303 12483\n67588 100000\n11277 16980\n88634 100000\n13664 20584\n98877 100000\n35034 52700\n65252 97867\n605 929\n53881 80851\n87433 100000\n96197 100000\n61005 91510\n30590 46077\n40837 61406\n16807 25336\n18140 27329\n69540 100000\n90541 100000\n12491 18821\n75966 100000\n41055 61737\n41810 62853\n58226 87348\n82186 100000\n56917 85373\n21752 32793\n10699 16099\n45195 67896\n2532 3832\n2896 4374\n74903 100000\n82775 100000\n57764 86653\n14452 21791\n80106 100000\n67448 100000\n46884 70407\n48882 73391\n42999 64629\n32357 48723\n9135 13739\n50750 76185\n67679 100000\n69031 100000\n86209 100000\n32902 49534\n3677 5540\n56263 84385\n8074 12144\n31569 47548\n1866 2845\n56096 84146\n50696 76100\n93445 100000\n66451 99705\n28844 43471\n47045 70642\n13526 20377\n91084 100000\n85662 100000\n96137 100000\n9140 13747\n54563 81862\n41416 62261\n54433 81670\n31626 47642\n28271 42589\n21593 32550\n12598 18978\n87926 100000\n66598 99925\n80317 100000\n64625 96925\n10826 16293\n19538 29447\n22051 33239\n2610 3949\n90188 100000\n98205 100000\n54722 82101\n24492 36934\n91883 100000\n38898 58510\n87837 100000\n6300 9467\n5155 7737\n3898 5861\n66032 99061\n59023 88554\n30212 45509\n81593 100000\n16419 24748\n17701 26670\n43542 65439\n14482 21832\n30320 45670\n58209 87325\n45410 68212\n93679 100000\n71570 100000\n12042 18143\n5204 7806\n16877 25443\n20888 31493\n99361 100000\n85832 100000\n90284 100000\n96105 100000\n11510 17342\n69001 100000\n61369 92043\n50201 75353\n80832 100000\n14744 22229\n7402 11124\n6136 9224\n82791 100000\n96020 100000\n51649 77538\n61231 91840\n79255 100000\n42366 63673\n34160 51378\n20349 30682\n56529 84800\n54088 81165\n49704 74610\n81404 100000\n49234 73918\n98120 100000\n11587 17462\n31709 47763\n32368 48740\n38539 57972\n56763 85146\n48350 72600\n10353 15581\n34502 51895\n23523 35473\n1828 2784\n39004 58670\n46618 70019\n49257 73952\n78433 100000\n81759 100000\n78365 100000\n17689 26651\n7617 11448\n74234 100000\n72634 100000\n36875 55488\n46473 69804\n19882 29983\n76937 100000\n95778 100000\n63770 95648\n99768 100000\n23380 35253\n95786 100000\n91553 100000\n40674 61168\n10459 15741\n23342 35192\n61450 92157\n7182 10787\n76196 100000\n80240 100000\n37485 56400\n7137 10715\n71246 100000\n30790 46381\n63353 95019\n5706 8569\n80293 100000\n57917 86883\n43458 65319\n86864 100000\n36678 55187\n23075 34782\n72014 100000\n2772 4194\n83003 100000\n30697 46237\n99149 100000\n28597 43088\n29457 44365\n18250 27493\n23469 35393\n62110 93151\n60778 91180\n83784 100000\n53379 80083\n35890 53984\n85316 100000\n98853 100000\n24024 36220\n29101 43844\n98321 100000\n44293 66544\n59413 89148\n18779 28288\n48792 73258\n47190 70857\n56552 84836\n90674 100000\n20657 31152\n16393 24709\n85805 100000\n6161 9261\n26039 39220\n74538 100000\n8800 13244\n81530 100000\n80158 100000\n92151 100000\n10124 15245\n53471 80221\n64340 96498\n87136 100000\n13258 19967\n18808 28332\n81709 100000\n42540 63942\n69645 100000\n26905 40521\n1178 1800\n72284 100000\n13577 20455\n84672 100000\n2737 4142\n29958 45127\n87289 100000\n44 70\n68786 100000\n77012 100000\n22385 33753\n40125 60354\n19233 28975\n22402 33780\n7136 10713\n1937 2948\n92790 100000\n23362 35223\n89322 100000\n42160 63381\n31297 47127\n54725 82105\n71900 100000\n61644 92449\n75480 100000\n23421 35321\n54628 81960\n21643 32625\n36838 55430\n78209 100000\n74816 100000\n1198 1828\n22829 34416\n85445 100000\n47188 70854\n98360 100000\n78395 100000\n53660 80510\n8658 13031\n81493 100000\n34145 51357\n68412 100000\n2173 3291\n87577 100000\n63917 95864\n47973 72039\n33424 50298\n57400 86106\n98134 100000\n60231 90363\n83742 100000\n62889 94323\n59977 89987\n26844 40427\n24513 36964\n35380 53218\n69100 100000\n44297 66549\n6929 10407\n79374 100000\n45868 68904\n24281 36618\n82990 100000\n52284 78466\n79218 100000\n49849 74824\n31354 47212\n8615 12967\n96400 100000\n38237 57530\n58475 87730\n65320 97971\n15635 23562\n9011 13561\n2791 4222\n46907 70438\n39215 58986\n82443 100000\n94503 100000\n43451 65308\n7580 11391\n23225 35009\n6420 9647\n23533 35486\n23228 35013\n8518 12814\n88135 100000\n42808 64336\n31383 47259\n50298 75506\n78062 100000\n48007 72089\n81334 100000\n14360 21640\n29273 44105\n43994 66116\n43496 65373\n27177 40924\n75285 100000\n24150 36410\n31686 47732\n99634 100000\n96138 100000\n4610 6928\n96934 100000\n85687 100000\n24717 37253\n7835 11775\n61803 92691\n57439 86164\n96456 100000\n72267 100000\n35565 53494\n17380 26199\n21869 32968\n68514 100000\n92065 100000\n44682 67122\n40006 60179\n95897 100000\n70009 100000\n26309 39624\n24442 36858\n14259 21494\n87796 100000\n42745 64245\n14455 21795\n26467 39859\n11379 17140\n68059 100000\n1373 2101\n23853 35958\n35739 53757\n67195 100000\n73808 100000\n89737 100000\n69046 100000\n55778 83676\n48999 73558\n34557 51977\n30061 45287\n85198 100000\n52011 78070\n62331 93498\n52907 79377\n93621 100000\n67270 100000\n12978 19537\n31714 47771\n98346 100000\n68935 100000\n43779 65798\n1466 2243\n12122 18256\n3312 5004\n2162 3277\n31963 48131\n44186 66381\n54995 82505\n45994 69093\n25024 37709\n84273 100000\n17141 25848\n50494 75803\n76602 100000\n86039 100000\n82304 100000\n56358 84538\n74607 100000\n83893 100000\n91496 100000\n52465 78729\n86479 100000\n66408 99643\n17533 26422\n95998 100000\n48201 72389\n40646 61128\n70082 100000\n15746 23733\n71489 100000\n40433 60810\n77408 100000\n72088 100000\n74618 100000\n24192 36473\n59683 89544\n56009 84028\n86611 100000\n15429 23237\n79957 100000\n2734 4137\n11439 17230\n8433 12681\n72225 100000\n80209 100000\n71261 100000\n93102 100000\n13199 19878\n63556 95321\n15652 23588\n59796 89716\n15286 23033\n83550 100000\n67402 100000\n75629 100000\n74642 100000\n92028 100000\n92223 100000\n65562 98345\n94966 100000\n80373 100000\n47487 71296\n32874 49494\n54273 81439\n76421 100000\n99943 100000\n9314 14016\n45246 67968\n56316 84470\n43544 65443\n84801 100000\n88016 100000\n32776 49344\n36104 54299\n46881 70401\n80007 100000\n5135 7709\n2998 4531\n56621 84935\n63196 94784\n181 276\n78665 100000\n10412 15672\n71784 100000\n68546 100000\n3420 5165\n48616 72984\n82565 100000\n57237 85842\n52216 78360\n58602 87918\n88035 100000\n50294 75500\n60305 90472\n8833 13296\n87994 100000\n2010 3057\n65969 98969\n16904 25485\n2771 4192\n55858 83800\n48435 72721\n58031 87056\n64154 96229\n59897 89874\n81501 100000\n54899 82358\n57640 86471\n3301 4986\n48716 73143\n57424 86142\n61733 92586\n11702 17636\n96899 100000\n69749 100000\n74235 100000\n47766 71727\n70076 100000\n8874 13354\n72884 100000\n34633 52086\n4628 6953\n25632 38614\n27625 41610\n61529 92274\n29899 45039\n42737 64231\n25070 37783\n95078 100000\n33923 51035\n46188 69383\n2066 3139\n25490 38410\n75779 100000\n46066 69204\n1120 1712\n95350 100000\n49854 74833\n10120 15237\n98571 100000\n34418 51772\n15380 23169\n16270 24526\n66750 100000\n41272 62056\n60783 91187\n580 889\n78145 100000\n57930 86902\n72779 100000\n84464 100000\n4310 6479\n45724 68698\n39108 58825\n44012 66138\n11014 16573\n34375 51707\n88248 100000\n56691 85043\n51410 77173\n43313 65105\n50342 75575\n296 454\n28843 43469\n43472 65339\n59305 88984\n45943 69018\n22455 33857\n93701 100000\n9174 13798\n90606 100000\n14087 21232\n93970 100000\n9162 13780\n92565 100000\n76347 100000\n64602 96888\n21167 31901\n3946 5930\n74383 100000\n60284 90442\n43629 65571\n66985 100000\n29209 44008\n17115 25804\n17033 25677\n16508 24880\n76836 100000\n74792 100000\n28872 43508\n46748 70202\n34046 51222\n84751 100000\n66954 100000\n57533 86306\n51513 77333\n81628 100000\n46117 69281\n47437 71228\n89003 100000\n12179 18344\n43658 65616\n42622 64062\n85214 100000\n39749 59798\n2966 4482\n50713 76128\n22513 33943\n10492 15789\n23947 36098\n74606 100000\n77099 100000\n95399 100000\n70768 100000\n15756 23749\n17073 25740\n6468 9721\n1290 1965\n49237 73922\n22299 33621\n74705 100000\n40036 60223\n92314 100000\n98647 100000\n11133 16754\n57734 86611\n88969 100000\n7485 11249\n80701 100000\n34407 51755\n91644 100000\n6653 10000\n75466 100000\n56887 85325\n74726 100000\n47688 71604\n45698 68661\n70744 100000\n18762 28265\n15294 23044\n79684 100000\n54238 81389\n57538 86313\n59787 89704\n35889 53983\n5528 8298\n83603 100000\n66848 100000\n39085 58791\n90836 100000\n2440 3685\n75501 100000\n81022 100000\n52672 79028\n60668 91009\n4368 6560\n51803 77768\n83191 100000\n78276 100000\n70764 100000\n49588 74439\n54149 81255\n37076 55782\n39256 59046\n17246 26006\n82430 100000\n34370 51697\n99153 100000\n21736 32768\n2507 3791\n90429 100000\n60001 90023\n20181 30432\n40649 61133\n7690 11556\n46225 69435\n82391 100000\n57115 85659\n3069 4635\n83189 100000\n14136 21307\n28259 42569\n34919 52528\n81502 100000\n21532 32450\n88953 100000\n20210 30478\n95096 100000\n63492 95231\n37556 56505\n1587 2420\n23044 34740\n52935 79418\n56187 84273\n52279 78458\n19455 29328\n99455 100000\n95293 100000\n63702 95539\n67139 100000\n80581 100000\n23765 35822\n39661 59660\n53561 80360\n29985 45167\n1043 1591\n1330 2027\n90515 100000\n1929 2934\n54203 81339\n48466 72770\n92832 100000\n45540 68412\n47944 71999\n31867 47994\n61299 91943\n30100 45344\n69554 100000\n94510 100000\n76686 100000\n93546 100000\n72326 100000\n64312 96456\n83993 100000\n80827 100000\n26147 39383\n58943 88435\n90630 100000\n56687 85036\n45659 68599\n58962 88463\n32722 49266\n58932 88419\n93891 100000\n30546 46011\n39901 60024\n90825 100000\n96308 100000\n80135 100000\n42883 64450\n31999 48181\n19658 29634\n60534 90811\n81509 100000\n73670 100000\n30362 45734\n87734 100000\n76308 100000\n92079 100000\n70430 100000\n46999 70576\n56160 84235\n57530 86301\n64129 96193\n23985 36160\n68641 100000\n5654 8489\n98794 100000\n41724 62725\n74905 100000\n64246 96365\n36727 55261\n68224 100000\n23453 35368\n35133 52846\n23556 35521\n87201 100000\n7316 10989\n19305 29092\n9846 14819\n51446 77229\n38548 57986\n30423 45826\n52490 78766\n60603 90916\n32573 49046\n69589 100000\n52572 78887\n8831 13292\n37501 56424\n25102 37829\n63595 95377\n65264 97888\n63796 95691\n79093 100000\n47484 71291\n7838 11780\n85145 100000\n51098 76706\n17739 26731\n51012 76582\n11265 16962\n57151 85712\n47193 70861\n87259 100000\n59831 89768\n77984 100000\n28495 42927\n83156 100000\n26314 39632\n9549 14378\n62860 94278\n65921 98897\n95675 100000\n94024 100000\n39816 59899\n14984 22583\n38767 58314\n26337 39668\n54834 82268\n56747 85122\n46372 69653\n33003 49677\n15161 22843\n86777 100000\n82348 100000\n21940 33074\n75637 100000\n71780 100000\n33126 49857\n65990 99002\n84752 100000\n65728 98599\n60609 90923\n31594 47590\n6752 10150\n98173 100000\n53829 80771\n13579 20458\n24748 37301\n18774 28280\n73877 100000\n37052 55751\n83518 100000\n28968 43648\n34642 52098\n73139 100000\n62552 93822\n11244 16928\n12904 19426\n58425 87658\n97752 100000\n1916 2913\n40044 60234\n74194 100000\n13810 20803\n89778 100000\n25679 38680\n88977 100000\n62818 94217\n41990 63133\n79955 100000\n28209 42494\n48487 72800\n20230 30508\n25149 37898\n53846 80796\n72550 100000\n43314 65106\n66565 99874\n55836 83764\n66778 100000\n84457 100000\n63011 94510\n22400 33777\n83996 100000\n95682 100000\n14888 22442\n63373 95053\n73878 100000\n38825 58394\n99017 100000\n45598 68503\n11463 17268\n49771 74712\n23520 35469\n34240 51497\n58849 88295\n12111 18241\n96898 100000\n57763 86652\n75938 100000\n76809 100000\n58471 87724\n63847 95764\n7720 11604\n24294 36636\n90223 100000\n50753 76190\n47104 70738\n75631 100000\n61330 91984\n45210 67917\n60428 90653\n15598 23505\n82548 100000\n16497 24862\n96922 100000\n273 417\n55145 82727\n59549 89341\n83235 100000\n97576 100000\n40245 60527\n47159 70816\n8795 13238\n15257 22989\n85464 100000\n85436 100000\n38973 58622\n68055 100000\n43749 65755\n13651 20562\n83363 100000\n11690 17617\n58463 87713\n63732 95585\n21174 31908\n58407 87628\n93468 100000\n65572 98361\n21099 31800\n22491 33912\n31339 47188\n77285 100000\n82692 100000\n62528 93788\n2527 3824\n52301 78494\n66498 99776\n48175 72348\n90937 100000\n99232 100000\n6920 10394\n75132 100000\n92975 100000\n91005 100000\n7778 11689\n87417 100000\n29570 44537\n65988 99000\n22537 33975\n96904 100000\n88979 100000\n89509 100000\n576 882\n85702 100000\n74254 100000\n70496 100000\n72935 100000\n85983 100000\n88646 100000\n67051 100000\n14309 21566\n12795 19270\n37811 56886\n79455 100000\n21953 33094\n56643 84971\n3938 5917\n51578 77429\n64233 96348\n94229 100000\n67241 100000\n16510 24883\n16556 24952\n35790 53834\n78774 100000\n75259 100000\n35692 53684\n26427 39799\n32266 48586\n66075 99129\n11310 17030\n68611 100000\n40472 60868\n4389 6591\n23221 35002\n93736 100000\n60030 90068\n19532 29438\n84382 100000\n20011 30179\n58911 88384\n84981 100000\n21668 32663\n78219 100000\n43270 65035\n72060 100000\n12842 19335\n46474 69806\n34255 51517\n49933 74944\n96826 100000\n30864 46491\n58146 87234\n63825 95732\n74126 100000\n5150 7729\n6833 10266\n92139 100000\n99716 100000\n96546 100000\n83846 100000\n23728 35772\n41143 61866\n26204 39469\n42739 64235\n26678 40175\n3225 4875\n82670 100000\n61045 91566\n54528 81808\n2552 3866\n98065 100000\n72316 100000\n61171 91755\n56922 85381\n6432 9664\n68835 100000\n10543 15861\n59201 88826\n61259 91887\n74736 100000\n23732 35777\n90367 100000\n85437 100000\n47246 70942\n3128 4725\n43608 65539\n88043 100000\n70276 100000\n84755 100000\n31871 48001\n57341 86013\n27479 41384\n91554 100000\n51319 77037\n22668 34179\n76147 100000\n13751 20716\n49428 74208\n89364 100000\n98871 100000\n64151 96224\n1459 2232\n14330 21595\n70494 100000\n67676 100000\n54154 81263\n57313 85963\n54447 81691\n4050 6083\n52220 78367\n97344 100000\n16910 25494\n68206 100000\n50385 75639\n28760 43342\n8059 12118\n5238 7860\n81430 100000\n49013 73582\n52780 79190\n68463 100000\n99370 100000\n32845 49447\n65209 97807\n90668 100000\n75691 100000\n88534 100000\n97246 100000\n87374 100000\n58356 87545\n1333 2033\n49778 74722\n81324 100000\n697 1070\n45473 68306\n47280 70994\n21376 32214\n42495 63866\n10878 16371\n51733 77666\n74435 100000\n24365 36745\n30385 45768\n74403 100000\n20736 31268\n47403 71177\n41409 62250\n17209 25950\n80376 100000\n77294 100000\n28500 42936\n14642 22072\n81397 100000\n875 1342\n86769 100000\n55962 83957\n45635 68565\n87325 100000\n4313 6483\n44628 67041\n7120 10688\n43309 65098\n3335 5042\n79273 100000\n49265 73963\n63844 95759\n14018 21129\n54965 82457\n71804 100000\n15783 23791\n15231 22950\n8735 13144\n86957 100000\n93524 100000\n75246 100000\n71395 100000\n91694 100000\n11232 16907\n12563 18925\n73512 100000\n28162 42419\n18968 28567\n84172 100000\n7376 11082\n45466 68297\n20651 31142\n44662 67092\n72657 100000\n79247 100000\n2828 4275\n13344 20093\n50749 76183\n14534 21910\n85416 100000\n87099 100000\n64882 97324\n5108 7671\n26832 40408\n64569 96843\n98156 100000\n67997 100000\n89527 100000\n70695 100000\n52817 79244\n37173 55931\n88787 100000\n7924 11911\n98716 100000\n45127 67794\n30046 45260\n38295 57618\n40073 60278\n70559 100000\n17329 26127\n35680 53668\n50070 75151\n93708 100000\n18647 28094\n66211 99340\n71197 100000\n88255 100000\n37858 56958\n50597 75954\n77784 100000\n34694 52183\n41532 62437\n36973 55635\n54786 82199\n81183 100000\n70284 100000\n14444 21779\n67266 100000\n84659 100000\n93357 100000\n93087 100000\n17734 26722\n21217 31973\n19576 29508\n45739 68718\n40769 61308\n22014 33183\n916 1402\n99285 100000\n70051 100000\n36808 55386\n7994 12020\n41298 62094\n56590 84890\n35777 53814\n22654 34156\n85073 100000\n61827 92727\n83006 100000\n11285 16993\n90690 100000\n72366 100000\n67967 100000\n4758 7145\n20991 31643\n41732 62736\n44110 66279\n23276 35085\n93692 100000\n54193 81325\n77225 100000\n88571 100000\n55713 83579\n78553 100000\n56647 84977\n46921 70459\n76054 100000\n84309 100000\n28733 43301\n87873 100000\n11945 18002\n2928 4428\n57942 86921\n91287 100000\n38433 57823\n18011 27136\n54003 81041\n48507 72829\n66698 100000\n74554 100000\n3352 5067\n58748 88145\n4030 6053\n1689 2569\n83714 100000\n23974 36140\n93962 100000\n59145 88737\n97865 100000\n36745 55292\n5708 8572\n71509 100000\n42433 63777\n11521 17359\n19684 29675\n54109 81197\n46992 70567\n25066 37777\n489 746\n3382 5110\n47422 71206\n57662 86503\n37100 55820\n45376 68163\n61350 92014\n3177 4804\n73230 100000\n8191 12318\n4618 6939\n25156 37908\n45553 68433\n77860 100000\n5385 8088\n50509 75823\n36061 54238\n94307 100000\n93114 100000\n11592 17469\n42093 63277\n69462 100000\n21219 31976\n87525 100000\n43163 64870\n53914 80901\n25597 38567\n83777 100000\n39221 58996\n71609 100000\n62193 93290\n62062 93081\n88823 100000\n42754 64258\n23906 36039\n28976 43659\n22361 33713\n36700 55222\n23026 34712\n49821 74783\n76111 100000\n75476 100000\n2414 3646\n49499 74314\n39035 58713\n70552 100000\n4180 6275\n45505 68354\n95534 100000\n44260 66496\n93547 100000\n71374 100000\n29931 45085\n10303 15512\n18325 27611\n92417 100000\n53874 80841\n41236 62006\n70205 100000\n80934 100000\n40601 61061\n13602 20490\n90000 100000\n60820 91241\n44529 66891\n48568 72913\n96201 100000\n67302 100000\n67918 100000\n26225 39497\n38945 58581\n46899 70429\n19115 28793\n3153 4766\n40896 61493\n55801 83708\n7050 10583\n8416 12659\n77873 100000\n27444 41333\n8745 13160\n69539 100000\n19562 29486\n57776 86671\n56591 84891\n93849 100000\n55599 83408\n64818 97224\n83135 100000\n25972 39117\n13830 20836\n31986 48162\n50391 75648\n63081 94611\n93112 100000\n68373 100000\n23334 35181\n52802 79224\n43922 66010\n3325 5023\n9645 14519\n25783 38841\n89939 100000\n40989 61634\n92057 100000\n89211 100000\n97914 100000\n75287 100000\n48656 73048\n27428 41310\n92211 100000\n68763 100000\n59388 89116\n87240 100000\n61973 92946\n64853 97277\n33615 50572\n4369 6562\n40179 60429\n5225 7842\n36273 54551\n66959 100000\n44540 66908\n21656 32644\n66322 99516\n73704 100000\n87434 100000\n61845 92756\n25003 37680\n46048 69175\n69328 100000\n71048 100000\n48594 72952\n4521 6801\n6010 9034\n83366 100000\n61422 92121\n26081 39282\n33843 50916\n61321 91970\n9390 14125\n24484 36921\n97273 100000\n57684 86537\n9029 13586\n53761 80666\n48573 72921\n33675 50664\n16670 25120\n84439 100000\n63144 94708\n43171 64884\n31653 47679\n58870 88322\n91961 100000\n63157 94726\n92436 100000\n44193 66394\n97044 100000\n41478 62356\n95182 100000\n21008 31670\n64993 97484\n40650 61134\n22258 33560\n88021 100000\n27767 41823\n96647 100000\n90533 100000\n35722 53731\n73091 100000\n9073 13651\n44634 67050\n16515 24893\n1268 1932\n34318 51624\n48005 72086\n15524 23392\n44155 66341\n21665 32659\n2665 4033\n49621 74488\n21436 32301\n62795 94185\n71877 100000\n89554 100000\n84607 100000\n5521 8287\n3047 4603\n25601 38572\n85847 100000\n69246 100000\n9127 13727\n33010 49688\n63375 95056\n46792 70270\n20141 30376\n87836 100000\n25406 38278\n9028 13584\n87205 100000\n52197 78333\n16626 25056\n10528 15841\n7406 11129\n92622 100000\n38460 57863\n92498 100000\n47012 70596\n28405 42791\n92828 100000\n23929 36070\n40148 60387\n34085 51277\n20553 31002\n39422 59294\n29118 43869\n51436 77212\n15828 23862\n66790 100000\n83589 100000\n87749 100000\n28556 43028\n49019 73591\n23326 35169\n96303 100000\n41292 62085\n38125 57359\n1415 2169\n14370 21656\n28712 43268\n8845 13311\n76118 100000\n29064 43791\n72178 100000\n82132 100000\n48177 72352\n96667 100000\n48851 73344\n33015 49696\n92746 100000\n11843 17846\n10439 15711\n56389 84589\n4200 6307\n66909 100000\n37586 56547\n61227 91834\n97479 100000\n40797 61348\n17801 26821\n60445 90680\n71419 100000\n18166 27366\n81916 100000\n45911 68971\n33188 49948\n76095 100000\n54726 82107\n81965 100000\n38356 57706\n98932 100000\n46463 69789\n46280 69514\n51791 77752\n74872 100000\n23037 34730\n68900 100000\n26145 39381\n97955 100000\n55635 83462\n94239 100000\n58941 88431\n34848 52415\n8533 12834\n68692 100000\n39784 59852\n93532 100000\n73711 100000\n48600 72961\n44106 66273\n37494 56414\n98628 100000\n77812 100000\n86602 100000\n85786 100000\n61639 92440\n55361 83046\n61237 91849\n46314 69563\n51906 77921\n89514 100000\n84813 100000\n27858 41957\n68764 100000\n33674 50662\n95728 100000\n49118 73740\n13576 20454\n7293 10954\n15502 23353\n30640 46151\n90442 100000\n10205 15360\n34439 51803\n39324 59149\n29001 43694\n12166 18324\n10280 15477\n76922 100000\n47738 71678\n26117 39342\n8393 12622\n99433 100000\n91568 100000\n90341 100000\n50504 75816\n35650 53626\n15551 23430\n9250 13915\n19183 28897\n89974 100000\n67193 100000\n2582 3907\n75980 100000\n89684 100000\n15973 24069\n64972 97454\n10989 16533\n79267 100000\n27500 41417\n82563 100000\n82609 100000\n74350 100000\n16673 25125\n34109 51311\n30400 45791\n101 151\n76693 100000\n77712 100000\n64272 96400\n28251 42559\n30822 46431\n5959 8956\n74157 100000\n63007 94503\n13359 20115\n81953 100000\n29618 44607\n17463 26318\n67548 100000\n24144 36402\n50109 75212\n31408 47297\n20685 31194\n45871 68909\n76200 100000\n58568 87866\n45132 67800\n63533 95285\n10418 15680\n64287 96422\n65012 97514\n22820 34402\n37445 56343\n28796 43396\n79611 100000\n91207 100000\n65181 97761\n81233 100000\n90555 100000\n13164 19824\n85700 100000\n91560 100000\n86205 100000\n64534 96790\n97926 100000\n60278 90434\n27064 40757\n42570 63986\n58208 87323\n38644 58134\n38088 57308\n82781 100000\n41975 63109\n60644 90974\n70772 100000\n59928 89916\n37863 56965\n21470 32355\n37253 56044\n99761 100000\n2897 4376\n75752 100000\n14494 21850\n81364 100000\n90785 100000\n4256 6392\n82048 100000\n921 1409\n93487 100000\n1994 3031\n10647 16017\n13896 20936\n66753 100000\n6748 10144\n96852 100000\n71917 100000\n51447 77230\n59943 89939\n1603 2444\n76623 100000\n9516 14325\n47316 71046\n65409 98114\n15764 23761\n19693 29688\n14222 21437\n84535 100000\n40757 61290\n83161 100000\n12257 18462\n31009 46701\n41882 62966\n58931 88417\n80309 100000\n60022 90057\n35936 54047\n85522 100000\n43683 65655\n11948 18005\n71373 100000\n1000 1526\n8193 12321\n71562 100000\n33519 50433\n83636 100000\n37255 56047\n62081 93109\n35304 53103\n94191 100000\n82322 100000\n17031 25674\n13582 20464\n16450 24790\n39474 59376\n60733 91107\n72775 100000\n3553 5365\n78498 100000\n22404 33783\n24238 36548\n80150 100000\n86140 100000\n242 372\n76703 100000\n4115 6177\n21881 32983\n74638 100000\n65536 98304\n40528 60952\n62721 94074\n39717 59748\n84247 100000\n5081 7632\n53387 80094\n7486 11250\n48176 72350\n71553 100000\n40846 61417\n24650 37153\n3791 5710\n2451 3703\n26576 40014\n12777 19245\n74035 100000\n26400 39762\n8579 12908\n26704 40215\n20918 31539\n68743 100000\n86940 100000\n53637 80473\n38042 57235\n12417 18704\n68244 100000\n99216 100000\n78491 100000\n2200 3333\n98888 100000\n48261 72474\n57286 85917\n98258 100000\n38334 57676\n62477 93716\n32100 48335\n34349 51667\n33395 50252\n39614 59589\n33205 49975\n79914 100000\n15459 23287\n4943 7423\n22141 33384\n65591 98393\n15123 22793\n54211 81349\n39133 58866\n62837 94244\n88912 100000\n58567 87865\n39549 59483\n23415 35310\n65089 97626\n60015 90047\n23305 35134\n38258 57566\n89610 100000\n48428 72713\n69248 100000\n91080 100000\n29925 45077\n27457 41350\n61637 92437\n1824 2779\n49109 73723\n65159 97730\n85943 100000\n71519 100000\n39688 59700\n78680 100000\n91639 100000\n22435 33826\n29828 44929\n37755 56806\n89787 100000\n51428 77200\n49243 73930\n79215 100000\n11783 17757\n83618 100000\n19243 28993\n13041 19636\n748 1150\n87972 100000\n22988 34656\n96327 100000\n96788 100000\n50499 75809\n24851 37448\n91517 100000\n6922 10397\n2812 4252\n39261 59052\n72590 100000\n85096 100000\n95221 100000\n66386 99611\n63471 95196\n33133 49866\n99334 100000\n79015 100000\n76914 100000\n74753 100000\n57524 86290\n93051 100000\n73163 100000\n51613 77486\n35316 53119\n57013 85509\n64211 96314\n5288 7939\n39148 58890\n91096 100000\n29179 43961\n95588 100000\n55093 82649\n23720 35761\n47674 71583\n38659 58157\n75147 100000\n4443 6681\n71581 100000\n40361 60705\n16329 24618\n18245 27486\n53183 79797\n85287 100000\n19057 28703\n5245 7873\n42368 63677\n46763 70222\n98729 100000\n40743 61271\n92650 100000\n75352 100000\n90675 100000\n51667 77566\n61207 91802\n90906 100000\n18926 28503\n46628 70034\n41198 61946\n75317 100000\n27866 41970\n43046 64694\n32206 48495\n88371 100000\n53364 80060\n15172 22857\n58990 88506\n47845 71847\n7642 11484\n42285 63559\n35511 53412\n712 1095\n84468 100000\n84295 100000\n95266 100000\n38598 58064\n88722 100000\n71345 100000\n97265 100000\n86270 100000\n7846 11794\n49811 74770\n81487 100000\n25979 39128\n7673 11532\n12857 19356\n73853 100000\n82857 100000\n93937 100000\n81295 100000\n59825 89761\n30201 45493\n94723 100000\n33803 50861\n98552 100000\n43 68\n43583 65502\n76657 100000\n75192 100000\n68469 100000\n48916 73440\n37664 56664\n66601 99930\n97639 100000\n60750 91135\n33342 50178\n94432 100000\n15788 23801\n750 1152\n59288 88955\n10753 16188\n24637 37130\n12807 19288\n29380 44259\n83204 100000\n1452 2221\n72897 100000\n77642 100000\n33988 51131\n90835 100000\n33178 49933\n69349 100000\n17990 27106\n20443 30829\n72964 100000\n26470 39862\n57148 85708\n92495 100000\n32356 48721\n91412 100000\n13427 20221\n29614 44601\n25568 38525\n71542 100000\n83966 100000\n25373 38226\n75657 100000\n5881 8835\n65107 97655\n63522 95272\n56913 85365\n71486 100000\n33678 50670\n93758 100000\n63277 94905\n17250 26013\n20152 30392\n66028 99054\n40152 60392\n75440 100000\n59754 89654\n32815 49400\n35659 53639\n96815 100000\n6983 10482\n59656 89503\n37406 56280\n63941 95901\n62410 93618\n33022 49707\n49390 74150\n53633 80466\n52262 78431\n92014 100000\n29409 44301\n44498 66843\n34996 52641\n37582 56541\n2478 3746\n48223 72419\n88462 100000\n12944 19486\n31022 46718\n11207 16869\n79464 100000\n62341 93511\n7604 11429\n60723 91093\n86694 100000\n79522 100000\n15265 23001\n93003 100000\n80743 100000\n1958 2980\n96359 100000\n36516 54933\n68588 100000\n61882 92813\n42228 63482\n52763 79165\n27117 40830\n59687 89552\n72349 100000\n31295 47124\n62250 93377\n23165 34914\n63603 95393\n28949 43621\n39531 59458\n57834 86755\n97845 100000\n56507 84765\n33967 51101\n5524 8292\n49253 73944\n63589 95368\n31070 46795\n17816 26845\n14777 22276\n42112 63309\n86755 100000\n65613 98422\n95884 100000\n61550 92305\n95187 100000\n1530 2335\n67746 100000\n99223 100000\n34235 51491\n11011 16569\n54986 82492\n47435 71224\n60880 91327\n29412 44304\n37120 55854\n66177 99287\n12402 18681\n91703 100000\n1979 3011\n11198 16854\n78053 100000\n71311 100000\n93085 100000\n43188 64911\n36501 54912\n1011 1541\n51571 77419\n93763 100000\n79026 100000\n22480 33895\n76101 100000\n61960 92926\n25782 38840\n47690 71607\n26666 40156\n51047 76633\n93772 100000\n1034 1576\n85790 100000\n15687 23641\n13050 19652\n67911 100000\n96120 100000\n86025 100000\n3446 5207\n99434 100000\n1938 2949\n95258 100000\n70166 100000\n18077 27237\n35087 52777\n63872 95798\n85538 100000\n48023 72114\n10797 16250\n41660 62630\n36581 55033\n19308 29098\n93540 100000\n75398 100000\n83325 100000\n23126 34853\n16207 24432\n10726 16142\n40259 60551\n73496 100000\n21249 32018\n82288 100000\n39535 59464\n705 1083\n49195 73858\n51144 76786\n91189 100000\n85165 100000\n24201 36489\n60931 91402\n48028 72121\n33770 50811\n21471 32356\n63247 94859\n3239 4895\n43600 65528\n3196 4830\n86510 100000\n8675 13057\n39066 58763\n99838 100000\n93978 100000\n5657 8494\n50091 75185\n89346 100000\n4733 7109\n5609 8420\n91449 100000\n87369 100000\n51908 77925\n21047 31726\n39982 60143\n55146 82728\n35358 53185\n76736 100000\n73949 100000\n54218 81359\n97625 100000\n51769 77718\n36990 55660\n29158 43929\n94383 100000\n41453 62318\n71666 100000\n46601 69992\n69901 100000\n24564 37030\n30152 45421\n4906 7372\n11049 16626\n5012 7524\n82537 100000\n50369 75614\n70596 100000\n38465 57870\n49970 75000\n19260 29016\n15470 23304\n15882 23942\n35228 52996\n87597 100000\n43797 65827\n23194 34959\n62535 93798\n11296 17009\n81381 100000\n40907 61510\n863 1327\n53138 79730\n18201 27423\n85854 100000\n28406 42793\n97838 100000\n81371 100000\n72204 100000\n90500 100000\n3383 5112\n43813 65851\n69759 100000\n26580 40019\n92373 100000\n10299 15506\n1726 2630\n40870 61455\n11861 17875\n10422 15686\n27215 40981\n57157 85720\n27107 40819\n17512 26391\n50017 75070\n22176 33437\n80221 100000\n55914 83888\n70171 100000\n99799 100000\n75941 100000\n16354 24649\n32944 49594\n53659 80509\n11576 17444\n44031 66165\n82601 100000\n28664 43193\n14814 22329\n12388 18662\n42377 63694\n3127 4724\n92140 100000\n20802 31366\n29299 44143\n52861 79309\n4341 6523\n99057 100000\n76619 100000\n58764 88172\n8984 13523\n85774 100000\n542 831\n87709 100000\n17472 26332\n54245 81400\n91737 100000\n56810 85211\n7619 11452\n50156 75286\n63634 95438\n17438 26286\n5275 7922\n7496 11263\n49070 73665\n77121 100000\n10006 15067\n86267 100000\n67436 100000\n5210 7816\n52458 78721\n4379 6576\n21823 32899\n68348 100000\n99640 100000\n84903 100000\n377 578\n53745 80642\n21788 32848\n6533 9818\n89618 100000\n87423 100000\n97982 100000\n67742 100000\n93240 100000\n40747 61275\n32257 48572\n57153 85714\n53007 79530\n26784 40339\n33346 50182\n7386 11097\n15775 23779\n32268 48589\n3118 4710\n83593 100000\n65476 98213\n46699 70132\n99388 100000\n92753 100000\n79541 100000\n42109 63304\n66907 100000\n6205 9327\n43279 65050\n25057 37764\n7006 10518\n29876 45003\n38803 58364\n44991 67595\n34936 52553\n79855 100000\n98237 100000\n33497 50399\n2472 3737\n39205 58971\n84303 100000\n67570 100000\n26486 39889\n47233 70922\n16386 24698\n86197 100000\n94296 100000\n7134 10711\n73087 100000\n1347 2057\n50150 75278\n6727 10109\n39394 59258\n3262 4929\n86482 100000\n53922 80913\n22188 33455\n73098 100000\n97766 100000\n92601 100000\n93065 100000\n87381 100000\n48469 72775\n39299 59112\n85195 100000\n86737 100000\n70572 100000\n58160 87253\n11890 17917\n98909 100000\n42705 64183\n4822 7247\n550 843\n36947 55598\n97575 100000\n20559 31013\n64897 97345\n94755 100000\n72969 100000\n9070 13647\n61101 91646\n91138 100000\n55905 83874\n41575 62499\n49379 74133\n5926 8904\n36692 55210\n34091 51286\n80172 100000\n44443 66764\n88587 100000\n68275 100000\n73438 100000\n46649 70064\n56118 84179\n25073 37786\n29016 43718\n24658 37164\n11148 16778\n2800 4234\n45777 68773\n6478 9738\n34949 52571\n74500 100000\n20768 31314\n95587 100000\n2980 4504\n57359 86041\n10777 16220\n70170 100000\n66044 99080\n84783 100000\n3241 4898\n68784 100000\n49953 74973\n49817 74777\n54818 82247\n61568 92332\n63343 95004\n938 1432\n35526 53436\n57543 86321\n31872 48002\n11218 16884\n51138 76775\n7162 10752\n50562 75903\n28907 43559\n39100 58813\n99732 100000\n917 1403\n47498 71315\n71038 100000\n82175 100000\n10407 15665\n94599 100000\n13544 20405\n21111 31820\n43296 65077\n2002 3045\n47668 71575\n57292 85925\n38474 57883\n23647 35653\n23634 35630\n33370 50215\n43489 65363\n8434 12683\n59137 88725\n40333 60658\n52745 79135\n73212 100000\n35679 53667\n8195 12324\n35473 53355\n75238 100000\n15476 23314\n72734 100000\n98910 100000\n83167 100000\n45769 68763\n72154 100000\n35921 54027\n14808 22321\n89780 100000\n32798 49376\n41184 61923\n81196 100000\n51287 76990\n73577 100000\n20813 31383\n23375 35244\n57394 86095\n43738 65738\n14190 21385\n66011 99031\n20074 30275\n79162 100000\n29515 44453\n33141 49879\n21277 32062\n96437 100000\n29709 44745\n2894 4371\n74250 100000\n82770 100000\n56416 84624\n16375 24680\n73991 100000\n31448 47356\n56786 85179\n31900 48044\n18666 28124\n50289 75491\n5158 7741\n48449 72745\n3770 5675\n15869 23925\n15665 23610\n36553 54989\n77281 100000\n78793 100000\n73266 100000\n26811 40377\n98765 100000\n13563 20436\n9565 14405\n85290 100000\n93091 100000\n18439 27776\n72676 100000\n47066 70675\n40771 61311\n67171 100000\n95513 100000\n91984 100000\n67432 100000\n97448 100000\n36069 54251\n76331 100000\n14069 21204\n21392 32236\n59165 88768\n27445 41334\n27207 40971\n58428 87662\n41380 62209\n20655 31148\n60897 91352\n9449 14215\n13885 20919\n2877 4346\n41032 61701\n38574 58026\n56748 85123\n97916 100000\n43215 64952\n39008 58676\n80707 100000\n1114 1705\n51327 77047\n21587 32541\n76008 100000\n65061 97586\n64849 97273\n43942 66041\n27129 40847\n49246 73935\n63065 94587\n65103 97648\n92152 100000\n38145 57389\n71307 100000\n11407 17189\n78460 100000\n12256 18460\n78603 100000\n20249 30537\n46946 70500\n27928 42067\n94407 100000\n98085 100000\n62637 93951\n28359 42727\n59104 88676\n16789 25307\n36341 54662\n95023 100000\n65920 98895\n37325 56152\n70426 100000\n30471 45902\n94232 100000\n62151 93219\n66225 99361\n84062 100000\n83118 100000\n28563 43037\n56107 84164\n98815 100000\n28502 42940\n96375 100000\n91963 100000\n97472 100000\n1851 2819\n60050 90095\n77733 100000\n63901 95842\n43735 65733\n73007 100000\n57126 85675\n68033 100000\n26431 39805\n41407 62248\n83679 100000\n32959 49614\n10452 15731\n37794 56864\n37319 56142\n59931 89921\n555 850\n92918 100000\n17356 26164\n33858 50937\n78442 100000\n18530 27917\n21528 32444\n88813 100000\n42105 63298\n75022 100000\n54081 81156\n61430 92131\n94427 100000\n17743 26737\n83063 100000\n9628 14495\n98116 100000\n56271 84397\n1516 2315\n10206 15361\n78310 100000\n33629 50593\n59271 88927\n45177 67869\n18287 27549\n2327 3525\n44113 66283\n63745 95607\n7074 10623\n58532 87814\n31093 46830\n69170 100000\n44608 67013\n26927 40547\n6310 9483\n54790 82205\n93670 100000\n80651 100000\n51090 76695\n87478 100000\n47320 71054\n14689 22144\n45586 68486\n73335 100000\n26017 39186\n33819 50884\n73692 100000\n66737 100000\n21198 31942\n96536 100000\n50461 75756\n25685 38689\n43717 65708\n10515 15822\n121 182\n28044 42236\n96792 100000\n89351 100000\n82394 100000\n41185 61925\n60558 90844\n3042 4596\n36246 54512\n83407 100000\n70351 100000\n21796 32859\n14156 21337\n2022 3077\n64669 96991\n12058 18168\n6283 9444\n90777 100000\n65077 97608\n88186 100000\n59952 89951\n56411 84617\n42255 63518\n42408 63741\n65662 98494\n27194 40951\n96304 100000\n66254 99409\n18211 27437\n65964 98962\n33524 50439\n94751 100000\n84872 100000\n73314 100000\n28402 42786\n1013 1545\n74481 100000\n29752 44812\n92760 100000\n35129 52842\n45507 68356\n80898 100000\n99502 100000\n16646 25087\n60508 90775\n1142 1745\n98646 100000\n7080 10635\n92606 100000\n73905 100000\n13372 20135\n85369 100000\n17904 26982\n81408 100000\n83241 100000\n8319 12509\n68669 100000\n51960 77998\n26777 40330\n33300 50115\n78648 100000\n53977 81001\n28534 42988\n54938 82417\n72896 100000\n35075 52761\n41132 61849\n68970 100000\n63467 95190\n63120 94672\n87344 100000\n50657 76040\n32446 48858\n38245 57544\n44587 66981\n90209 100000\n92962 100000\n5912 8885\n47060 70664\n8587 12922\n38338 57682\n40748 61277\n93441 100000\n41278 62066\n4529 6813\n75387 100000\n47708 71632\n29561 44522\n64662 96981\n11107 16716\n91128 100000\n87572 100000\n54122 81215\n57224 85825\n37161 55916\n32612 49104\n67586 100000\n70562 100000\n20841 31425\n82749 100000\n60525 90797\n88510 100000\n2504 3787\n35673 53659\n14595 21999\n63893 95831\n42873 64435\n68299 100000\n85578 100000\n42442 63788\n97174 100000\n98378 100000\n53047 79591\n575 880\n70520 100000\n54775 82182\n58009 87024\n12028 18126\n49914 74917\n31182 46966\n45052 67683\n44740 67210\n31792 47881\n67701 100000\n43873 65936\n81096 100000\n78575 100000\n58839 88280\n6611 9934\n746 1147\n25470 38378\n58583 87888\n59427 89166\n30215 45512\n42736 64229\n28093 42313\n58213 87330\n67919 100000\n33484 50380\n46318 69568\n67599 100000\n26015 39182\n68481 100000\n30805 46404\n3282 4962\n25609 38584\n83558 100000\n98301 100000\n83857 100000\n13435 20233\n10977 16516\n40636 61110\n23297 35120\n59874 89834\n42596 64027\n52756 79154\n65661 98492\n50175 75314\n99521 100000\n37272 56071\n44070 66220\n41273 62058\n17008 25638\n84987 100000\n77790 100000\n80260 100000\n12357 18615\n90444 100000\n45773 68768\n41091 61787\n6233 9368\n89900 100000\n82283 100000\n80008 100000\n27898 42022\n32568 49040\n12901 19423\n72231 100000\n82089 100000\n34569 51995\n94047 100000\n63888 95825\n79765 100000\n88591 100000\n8954 13475\n19549 29464\n78754 100000\n64504 96740\n24096 36328\n24329 36690\n38081 57298\n52583 78906\n87295 100000\n96605 100000\n96917 100000\n70957 100000\n22350 33697\n90069 100000\n15100 22755\n62374 93564\n79778 100000\n47681 71592\n17789 26806\n3689 5558\n23919 36055\n69815 100000\n27686 41700\n41685 62669\n7726 11612\n24353 36726\n14855 22396\n92878 100000\n78750 100000\n32812 49396\n7606 11432\n61353 92018\n19822 29885\n33865 50948\n65150 97718\n17038 25685\n5622 8440\n35850 53924\n86933 100000\n67554 100000\n60642 90970\n99358 100000\n87290 100000\n3474 5248\n89460 100000\n73006 100000\n65007 97505\n76091 100000\n58259 87396\n34550 51969\n93379 100000\n12073 18190\n36601 55062\n67531 100000\n63107 94654\n93128 100000\n67492 100000\n14315 21574\n3179 4808\n90564 100000\n81554 100000\n18765 28269\n64870 97303\n13297 20023\n14749 22237\n53849 80800\n32458 48879\n1589 2423\n75669 100000\n41031 61700\n56019 84042\n71715 100000\n4028 6049\n46427 69735\n84294 100000\n8881 13363\n30013 45212\n25195 37963\n33911 51017\n27006 40669\n52113 78212\n3859 5803\n98451 100000\n68454 100000\n40080 60289\n14886 22439\n57656 86495\n68336 100000\n97931 100000\n82543 100000\n44747 67221\n96626 100000\n20125 30352\n65499 98249\n33320 50144\n70578 100000\n42815 64345\n88393 100000\n97700 100000\n25996 39150\n78320 100000\n47284 70998\n4214 6328\n34858 52431\n8296 12472\n71720 100000\n86175 100000\n69227 100000\n63530 95282\n36484 54886\n10277 15473\n73418 100000\n80175 100000\n87118 100000\n74196 100000\n4387 6588\n96082 100000\n99086 100000\n24003 36186\n68567 100000\n62612 93915\n56969 85448\n52377 78598\n93146 100000\n38198 57471\n12917 19444\n16381 24689\n52847 79288\n96589 100000\n96313 100000\n5415 8129\n61210 91807\n57101 85636\n47010 70593\n68152 100000\n72123 100000\n43761 65776\n82547 100000\n71441 100000\n89222 100000\n17456 26310\n56185 84271\n65663 98495\n1511 2310\n1111 1699\n1337 2040\n50747 76180\n38808 58371\n2841 4295\n81027 100000\n75166 100000\n61410 92103\n12644 19051\n23289 35108\n3960 5951\n74066 100000\n91118 100000\n31145 46909\n32905 49538\n9008 13558\n60614 90930\n72485 100000\n83626 100000\n27963 42119\n91315 100000\n37322 56147\n83722 100000\n35396 53241\n6849 10288\n90238 100000\n75574 100000\n19459 29334\n88714 100000\n21360 32191\n33476 50370\n65229 97834\n86372 100000\n66925 100000\n69012 100000\n40902 61502\n41781 62810\n75094 100000\n74438 100000\n13217 19905\n97590 100000\n5809 8730\n53614 80439\n20353 30688\n64269 96396\n5872 8823\n97279 100000\n59817 89750\n9092 13678\n93513 100000\n71944 100000\n91959 100000\n87031 100000\n26070 39265\n39635 59622\n68307 100000\n79007 100000\n67652 100000\n79742 100000\n11481 17299\n40391 60744\n66454 99709\n27717 41745\n1461 2235\n70829 100000\n71090 100000\n51656 77549\n60165 90259\n20071 30271\n5473 8216\n76715 100000\n46577 69960\n80937 100000\n86276 100000\n36356 54687\n53251 79891\n543 833\n58470 87723\n57722 86591\n69873 100000\n88239 100000\n31001 46691\n93297 100000\n35669 53654\n75582 100000\n13153 19807\n90902 100000\n6467 9720\n28752 43332\n73685 100000\n62597 93890\n37730 56770\n22821 34404\n5867 8814\n88168 100000\n38572 58024\n68512 100000\n64686 97020\n33071 49779\n71839 100000\n70773 100000\n61264 91893\n43673 65638\n37085 55796\n58212 87329\n35595 53541\n45901 68956\n43195 64922\n36862 55471\n43119 64808\n58060 87103\n14193 21390\n15955 24045\n95578 100000\n99928 100000\n68342 100000\n88911 100000\n14329 21593\n80002 100000\n88408 100000\n90720 100000\n82341 100000\n79658 100000\n59182 88794\n17952 27050\n26150 39388\n56156 84231\n47237 70928\n25452 38351\n28381 42754\n9227 13876\n23328 35172\n12547 18900\n22737 34281\n27436 41323\n7911 11892\n36746 55293\n46904 70435\n50301 75511\n3103 4688\n25872 38975\n83914 100000\n96579 100000\n8872 13352\n5690 8543\n39895 60015\n84411 100000\n67206 100000\n32437 48844\n31423 47321\n37592 56557\n51816 77787\n54985 82490\n29646 44649\n49710 74619\n56189 84276\n98951 100000\n72466 100000\n70287 100000\n73516 100000\n52973 79479\n74813 100000\n31851 47971\n97088 100000\n90348 100000\n21501 32404\n22963 34618\n82820 100000\n40624 61093\n21784 32843\n19235 28978\n90781 100000\n72227 100000\n57576 86376\n83069 100000\n42557 63964\n91490 100000\n4248 6378\n54291 81467\n84252 100000\n25328 38162\n11636 17533\n23842 35942\n36171 54400\n43841 65889\n63351 95015\n25089 37810\n31876 48008\n70370 100000\n71794 100000\n52742 79130\n22029 33206\n69098 100000\n16486 24846\n9998 15054\n70941 100000\n76805 100000\n17927 27016\n30985 46667\n76848 100000\n90258 100000\n21899 33011\n15993 24099\n81758 100000\n95351 100000\n84385 100000\n701 1078\n70828 100000\n8487 12763\n24967 37623\n20478 30884\n2587 3914\n2385 3608\n78845 100000\n99845 100000\n13149 19802\n72812 100000\n42067 63238\n89316 100000\n73457 100000\n56943 85413\n62047 93058\n89116 100000\n48581 72933\n72440 100000\n43493 65369\n69585 100000\n45648 68584\n15167 22851\n65983 98992\n91752 100000\n69176 100000\n42041 63202\n30897 46543\n35566 53496\n36953 55605\n22551 33996\n86946 100000\n58858 88307\n68214 100000\n3894 5855\n91912 100000\n4062 6101\n48756 73207\n76465 100000\n74620 100000\n50404 75671\n21442 32313\n25205 37979\n4581 6887\n82007 100000\n44067 66217\n16446 24783\n4306 6473\n7058 10595\n87489 100000\n1724 2626\n49792 74741\n83279 100000\n97664 100000\n45257 67983\n93360 100000\n34012 51172\n98534 100000\n6449 9691\n62737 94098\n8104 12187\n96469 100000\n55600 83410\n47733 71672\n99613 100000\n95405 100000\n19334 29140\n99463 100000\n33818 50882\n83096 100000\n80080 100000\n88798 100000\n82397 100000\n41280 62068\n60858 91297\n81620 100000\n35054 52731\n6110 9185\n23747 35797\n91034 100000\n73179 100000\n21166 31899\n46349 69615\n44954 67538\n96274 100000\n36923 55563\n2829 4277\n19321 29119\n55212 82826\n1368 2093\n81678 100000\n37763 56819\n74345 100000\n33290 50102\n81664 100000\n48550 72891\n8366 12581\n37411 56289\n95071 100000\n11022 16584\n43933 66028\n74835 100000\n67262 100000\n17006 25636\n42992 64619\n96768 100000\n79614 100000\n91924 100000\n30706 46252\n68139 100000\n27143 40871\n62823 94223\n27915 42046\n97754 100000\n6071 9133\n27383 41243\n55244 82872\n26163 39406\n75665 100000\n17228 25978\n25339 38179\n55360 83045\n31771 47850\n43616 65552\n13150 19804\n76536 100000\n44684 67125\n3879 5834\n95518 100000\n15344 23113\n69999 100000\n8423 12666\n97355 100000\n6536 9823\n57513 86273\n82584 100000\n62222 93335\n74146 100000\n12897 19417\n42440 63785\n68036 100000\n89945 100000\n66137 99227\n96371 100000\n34570 51996\n6977 10473\n14736 22218\n34990 52633\n89384 100000\n16582 24991\n35999 54144\n36920 55560\n40050 60243\n79192 100000\n56581 84879\n65932 98914\n72603 100000\n75974 100000\n50716 76134\n32803 49384\n71119 100000\n83949 100000\n89288 100000\n70599 100000\n41749 62759\n7909 11889\n54411 81638\n62563 93837\n61838 92745\n61689 92519\n70851 100000\n17798 26817\n54001 81038\n77742 100000\n39766 59822\n49602 74461\n56683 85029\n75878 100000\n30548 46014\n53373 80072\n84552 100000\n30601 46091\n55419 83134\n87625 100000\n36217 54469\n46313 69562\n19854 29934\n41508 62402\n11642 17542\n55633 83458\n77496 100000\n95267 100000\n26466 39858\n27944 42089\n49423 74199\n53991 81022\n61036 91554\n9486 14275\n54189 81320\n11918 17960\n34603 52045\n93586 100000\n1322 2016\n59356 89069\n36383 54730\n28927 43588\n62023 93024\n26250 39539\n7449 11195\n8076 12147\n87183 100000\n75125 100000\n53405 80122\n22712 34242\n55170 82760\n19741 29763\n62679 94013\n23273 35079\n69544 100000\n92697 100000\n79945 100000\n51075 76673\n63332 94989\n73166 100000\n88482 100000\n59908 89888\n12587 18960\n68703 100000\n19147 28842\n73930 100000\n76117 100000\n31029 46728\n63118 94669\n82853 100000\n57753 86638\n34884 52473\n44966 67556\n92987 100000\n33332 50163\n50248 75429\n42213 63460\n9762 14695\n27466 41364\n72814 100000\n72836 100000\n83035 100000\n73946 100000\n87848 100000\n60532 90808\n75114 100000\n60503 90770\n47893 71913\n92267 100000\n16151 24342\n80608 100000\n20044 30230\n10547 15867\n72206 100000\n24375 36759\n38058 57262\n411 633\n43561 65470\n56627 84942\n33239 50027\n17200 25938\n95669 100000\n42244 63504\n4430 6658\n50165 75299\n25594 38562\n52801 79222\n63121 94674\n253 388\n93007 100000\n3903 5868\n23399 35286\n79860 100000\n36913 55551\n42887 64455\n78215 100000\n8071 12138\n94287 100000\n93317 100000\n10246 15425\n75092 100000\n24363 36741\n84765 100000\n42933 64526\n11176 16818\n5826 8755\n85482 100000\n86679 100000\n95941 100000\n90880 100000\n51879 77879\n25970 39115\n1676 2550\n37370 56223\n94618 100000\n43940 66038\n48613 72980\n68561 100000\n29103 43848\n74047 100000\n5051 7591\n13180 19849\n21401 32249\n83812 100000\n792 1220\n76221 100000\n19441 29307\n96924 100000\n47559 71411\n84946 100000\n90268 100000\n85825 100000\n21943 33078\n21212 31964\n10034 15108\n56157 84232\n78274 100000\n12461 18771\n11128 16746\n77639 100000\n93638 100000\n12293 18517\n26148 39384\n3429 5182\n69574 100000\n29245 44060\n12011 18099\n87710 100000\n33925 51037\n38378 57743\n24454 36874\n99190 100000\n58123 87198\n42051 63215\n35017 52674\n87006 100000\n76276 100000\n89975 100000\n20211 30480\n67190 100000\n8947 13464\n71911 100000\n70907 100000\n41739 62745\n15659 23600\n46927 70470\n57927 86899\n61640 92442\n17707 26679\n33530 50448\n29710 44746\n55238 82862\n27634 41622\n90776 100000\n32610 49102\n53700 80571\n55165 82752\n54390 81606\n67931 100000\n93863 100000\n55257 82892\n78571 100000\n943 1440\n32987 49655\n5182 7776\n77283 100000\n31421 47318\n74514 100000\n58576 87878\n74376 100000\n44431 66750\n64902 97352\n54991 82499\n88215 100000\n66060 99105\n5623 8441\n19450 29321\n67486 100000\n45581 68477\n37868 56974\n88679 100000\n79525 100000\n60654 90989\n41384 62214\n41189 61933\n17134 25837\n4223 6342\n77019 100000\n72156 100000\n8910 13407\n54552 81843\n13669 20592\n77991 100000\n11705 17640\n12506 18843\n36949 55600\n55475 83219\n38463 57868\n37514 56445\n14417 21735\n69671 100000\n13693 20626\n27983 42147\n39442 59324\n24206 36496\n53837 80782\n12913 19437\n58769 88178\n46154 69333\n82745 100000\n66105 99173\n18094 27265\n5578 8374\n96883 100000\n73122 100000\n93802 100000\n96872 100000\n99925 100000\n59564 89366\n43525 65412\n63167 94741\n47348 71097\n78741 100000\n24544 37005\n71775 100000\n50830 76307\n58140 87225\n96332 100000\n37177 55936\n42053 63218\n79580 100000\n27544 41482\n60579 90878\n87292 100000\n6665 10017\n9237 13893\n73868 100000\n89575 100000\n55393 83092\n72560 100000\n83218 100000\n16216 24444\n84376 100000\n64072 96110\n82929 100000\n23353 35211\n90144 100000\n46875 70391\n14592 21995\n91197 100000\n16677 25131\n26710 40225\n91187 100000\n53648 80492\n21913 33033\n34032 51201\n58617 87942\n53213 79837\n5551 8335\n69838 100000\n45231 67949\n88087 100000\n26615 40069\n20792 31352\n19165 28870\n82276 100000\n22575 34035\n61236 91847\n55887 83845\n55791 83697\n34269 51541\n67281 100000\n98789 100000\n36045 54213\n39192 58954\n73167 100000\n64347 96509\n28046 42239\n21854 32944\n84689 100000\n84311 100000\n44202 66411\n74859 100000\n33812 50874\n17328 26126\n30871 46503\n82359 100000\n96926 100000\n69073 100000\n65027 97536\n46080 69224\n22460 33864\n81725 100000\n5078 7628\n42700 64175\n22989 34657\n27061 40752\n72801 100000\n15503 23354\n96618 100000\n26410 39777\n57012 85508\n45653 68592\n71495 100000\n5430 8153\n64102 96156\n38335 57678\n9853 14832\n51970 78011\n33729 50746\n26324 39650\n193 296\n89825 100000\n33846 50921\n93444 100000\n92059 100000\n93961 100000\n24488 36927\n72979 100000\n31664 47695\n93154 100000\n9541 14366\n38401 57777\n41687 62671\n89289 100000\n63183 94766\n8404 12641\n85658 100000\n52494 78772\n54509 81781\n62499 93746\n90487 100000\n11227 16898\n38049 57246\n83494 100000\n76813 100000\n28287 42616\n81632 100000\n40627 61098\n26914 40534\n97559 100000\n54053 81115\n64395 96572\n7903 11878\n45619 68540\n89212 100000\n26036 39214\n93375 100000\n6325 9507\n60910 91371\n65116 97669\n37516 56447\n87245 100000\n4861 7303\n87527 100000\n24235 36544\n68852 100000\n13470 20292\n39373 59225\n33319 50143\n13434 20231\n61472 92190\n75551 100000\n92269 100000\n88209 100000\n64043 96063\n25242 38035\n73114 100000\n10482 15772\n40070 60274\n36178 54413\n55514 83281\n71759 100000\n66131 99217\n30945 46613\n18830 28362\n90332 100000\n80476 100000\n73791 100000\n57293 85927\n32085 48312\n63866 95789\n93993 100000\n18244 27484\n55270 82913\n12982 19543\n81721 100000\n25796 38861\n60106 90176\n40527 60951\n81250 100000\n87005 100000\n42230 63484\n37821 56899\n53273 79923\n23851 35954\n41366 62188\n61627 92419\n37310 56127\n10011 15074\n96222 100000\n64241 96359\n56563 84851\n58877 88332\n60844 91273\n38783 58337\n10836 16309\n55234 82858\n89206 100000\n19868 29960\n34994 52638\n91410 100000\n98208 100000\n96289 100000\n4385 6585\n83721 100000\n89215 100000\n92356 100000\n68838 100000\n40114 60336\n59371 89094\n41609 62551\n72958 100000\n25998 39154\n54918 82386\n21251 32021\n11055 16634\n8383 12605\n74600 100000\n37097 55816\n20786 31341\n46666 70088\n69707 100000\n81817 100000\n90034 100000\n58872 88326\n88664 100000\n64005 96000\n95542 100000\n76993 100000\n39794 59868\n21321 32131\n35283 53074\n14538 21917\n41564 62483\n70481 100000\n34906 52506\n71322 100000\n58331 87506\n80515 100000\n65807 98719\n76317 100000\n82091 100000\n89302 100000\n95398 100000\n53371 80070\n95944 100000\n73436 100000\n49579 74425\n59331 89029\n29550 44504\n49993 75036\n70720 100000\n55994 84002\n98473 100000\n84709 100000\n60487 90744\n73367 100000\n16168 24369\n11280 16983\n86633 100000\n48493 72810\n75416 100000\n318 487\n31308 47141\n43229 64973\n99819 100000\n32983 49649\n12085 18206\n86091 100000\n61306 91952\n30279 45607\n45683 68639\n92463 100000\n28587 43074\n7521 11301\n95586 100000\n99081 100000\n27842 41936\n20411 30776\n50360 75601\n97971 100000\n3045 4600\n99947 100000\n93421 100000\n85523 100000\n19782 29827\n64202 96300\n45057 67692\n93654 100000\n60062 90114\n84568 100000\n65837 98764\n53383 80087\n90527 100000\n73947 100000\n22010 33178\n22005 33169\n39819 59903\n43214 64951\n49772 74713\n63314 94961\n73421 100000\n31802 47895\n35318 53122\n83496 100000\n30294 45634\n11573 17440\n91351 100000\n58145 87233\n9614 14474\n83852 100000\n35715 53720\n73745 100000\n51840 77823\n92938 100000\n54699 82068\n83099 100000\n41626 62576\n43094 64769\n20357 30695\n79039 100000\n21978 33131\n14684 22137\n3303 4989\n16203 24425\n40603 61064\n53225 79856\n48305 72536\n70167 100000\n17569 26473\n52211 78354\n34188 51417\n57529 86299\n85493 100000\n61055 91579\n48761 73214\n51159 76808\n4480 6737\n78332 100000\n62133 93191\n90354 100000\n8381 12602\n33454 50339\n38458 57861\n99653 100000\n10661 16038\n85679 100000\n52315 78514\n43765 65781\n81182 100000\n24760 37316\n38859 58445\n49146 73783\n83322 100000\n82176 100000\n86813 100000\n24229 36536\n13106 19738\n18933 28515\n13824 20825\n34017 51178\n60898 91353\n59272 88929\n22164 33417\n54118 81210\n64267 96394\n87023 100000\n52998 79516\n711 1093\n34319 51625\n55120 82690\n18258 27505\n41755 62768\n35969 54099\n41952 63072\n1234 1881\n76769 100000\n18377 27678\n51615 77489\n62474 93713\n80920 100000\n94356 100000\n90359 100000\n58577 87880\n63573 95345\n6613 9937\n90323 100000\n3720 5602\n96373 100000\n11260 16952\n74053 100000\n86086 100000\n92552 100000\n93286 100000\n25828 38910\n58137 87219\n20869 31468\n93927 100000\n32403 48794\n14557 21942\n94052 100000\n91927 100000\n76349 100000\n34214 51460\n52895 79360\n85212 100000\n38243 57540\n93458 100000\n9534 14354\n99400 100000\n23100 34818\n96485 100000\n32426 48828\n96632 100000\n33976 51114\n85477 100000\n57550 86332\n53518 80295\n31275 47096\n32341 48699\n24142 36399\n22386 33755\n92960 100000\n38632 58117\n94663 100000\n80099 100000\n94133 100000\n81393 100000\n45054 67687\n48812 73287\n32107 48343\n1277 1944\n51938 77967\n64544 96804\n53759 80664\n2447 3697\n89774 100000\n94678 100000\n82491 100000\n85995 100000\n87743 100000\n27494 41409\n63752 95620\n86040 100000\n32252 48566\n98023 100000\n7658 11509\n97455 100000\n27431 41316\n8241 12393\n37051 55750\n10857 16340\n6367 9566\n5303 7961\n89463 100000\n83708 100000\n90859 100000\n20298 30603\n25096 37822\n45997 69097\n92773 100000\n1206 1841\n90927 100000\n13543 20403\n97973 100000\n67357 100000\n92071 100000\n75511 100000\n7901 11874\n82709 100000\n49471 74270\n93155 100000\n29180 43963\n62340 93510\n99682 100000\n8765 13190\n57938 86915\n20070 30270\n48650 73038\n55670 83513\n53734 80624\n43211 64945\n99933 100000\n24904 37528\n53980 81006\n98855 100000\n96569 100000\n42345 63641\n14911 22478\n44346 66620\n93242 100000\n5503 8260\n96499 100000\n93826 100000\n11658 17567\n94862 100000\n62566 93842\n12519 18861\n92980 100000\n54150 81256\n71224 100000\n11540 17388\n71991 100000\n99287 100000\n22886 34502\n50799 76263\n43556 65462\n94988 100000\n65670 98506\n1307 1991\n43851 65905\n19805 29860\n61982 92962\n9151 13767\n18811 28336\n90344 100000\n45801 68811\n49407 74173\n21491 32386\n4771 7166\n31238 47047\n62880 94309\n99062 100000\n66510 99793\n96059 100000\n61030 91545\n4742 7121\n14297 21552\n83956 100000\n12279 18496\n65387 98077\n86475 100000\n48821 73298\n90030 100000\n88740 100000\n68717 100000\n17617 26546\n35654 53632\n35664 53648\n39557 59496\n16133 24315\n76766 100000\n84045 100000\n33790 50841\n49921 74926\n4323 6497\n31950 48113\n24581 37053\n54076 81148\n45970 69059\n35694 53686\n22280 33593\n39962 60114\n72344 100000\n75973 100000\n69912 100000\n9348 14063\n79030 100000\n421 648\n30445 45860\n55367 83056\n66759 100000\n92364 100000\n3438 5197\n6674 10032\n23957 36112\n83695 100000\n62503 93751\n19992 30150\n68287 100000\n6000 9018\n28373 42743\n88046 100000\n16036 24169\n30183 45466\n53495 80260\n68237 100000\n66725 100000\n31362 47226\n34435 51796\n79155 100000\n52142 78254\n79728 100000\n39286 59091\n86662 100000\n93596 100000\n58731 88117\n66846 100000\n88442 100000\n15892 23957\n54730 82113\n76451 100000\n5672 8518\n46328 69584\n91061 100000\n86713 100000\n19554 29474\n85478 100000\n1397 2141\n3172 4798\n58398 87612\n86131 100000\n48059 72167\n49773 74714\n41282 62070\n52154 78273\n9830 14794\n43424 65271\n21293 32088\n9557 14392\n13715 20659\n18305 27579\n50655 76037\n95802 100000\n77113 100000\n13019 19602\n60904 91363\n38002 57180\n29279 44113\n29053 43775\n93886 100000\n22971 34630\n48962 73504\n62368 93554\n94695 100000\n118 178\n81098 100000\n85552 100000\n34029 51196\n82900 100000\n18313 27592\n67567 100000\n90337 100000\n62411 93620\n51386 77137\n3076 4647\n26369 39716\n65897 98860\n92902 100000\n13011 19591\n96300 100000\n55883 83839\n42812 64341\n28671 43206\n87724 100000\n60755 91143\n33358 50199\n26153 39392\n16590 25005\n62408 93615\n10413 15673\n58270 87410\n44222 66442\n35125 52834\n1349 2060\n70347 100000\n12272 18485\n80199 100000\n40867 61450\n43569 65481\n62471 93709\n23821 35908\n14480 21829\n90374 100000\n8853 13324\n4873 7321\n93475 100000\n75621 100000\n49170 73816\n1518 2318\n7437 11174\n63899 95840\n94931 100000\n96994 100000\n86844 100000\n5009 7520\n70641 100000\n38459 57862\n45642 68576\n80446 100000\n85787 100000\n69489 100000\n12193 18366\n64765 97147\n77802 100000\n88074 100000\n78707 100000\n6186 9298\n14188 21383\n88494 100000\n18960 28556\n48944 73478\n29396 44282\n99485 100000\n84543 100000\n26423 39793\n64293 96432\n24395 36789\n4144 6216\n49572 74414\n89394 100000\n63408 95103\n88153 100000\n34137 51346\n49609 74471\n96467 100000\n39497 59408\n93894 100000\n45081 67727\n73491 100000\n3255 4920\n71257 100000\n49004 73564\n18506 27881\n67842 100000\n24555 37019\n80242 100000\n39048 58734\n24751 37305\n45298 68047\n90881 100000\n46668 70091\n4761 7148\n6936 10416\n88941 100000\n76792 100000\n35872 53957\n32699 49233\n34022 51185\n85907 100000\n14570 21962\n18789 28303\n65720 98586\n77243 100000\n18259 27506\n59242 88886\n61600 92378\n55081 82632\n21209 31960\n71336 100000\n4513 6791\n83 126\n69966 100000\n47213 70888\n57204 85793\n46285 69521\n8632 12992\n87021 100000\n1079 1649\n25075 37790\n85448 100000\n97984 100000\n98969 100000\n44450 66775\n15612 23525\n94267 100000\n8862 13337\n28802 43405\n43333 65134\n70740 100000\n50227 75397\n27516 41440\n95646 100000\n90023 100000\n59459 89210\n65399 98097\n31441 47346\n23339 35187\n55736 83613\n27105 40816\n45810 68822\n83771 100000\n69425 100000\n70835 100000\n57072 85596\n2287 3462\n93657 100000\n40657 61144\n22387 33756\n55433 83156\n61081 91619\n71132 100000\n10229 15396\n48698 73112\n85201 100000\n99330 100000\n30088 45325\n68308 100000\n31873 48004\n20982 31629\n66219 99352\n96441 100000\n61466 92181\n15288 23036\n33500 50404\n94353 100000\n78581 100000\n64170 96250\n86380 100000\n80404 100000\n62898 94335\n91060 100000\n24755 37310\n78976 100000\n88027 100000\n33903 51005\n6199 9317\n73710 100000\n75048 100000\n85435 100000\n93691 100000\n23175 34929\n20855 31447\n76985 100000\n92052 100000\n22105 33327\n29311 44161\n17514 26394\n87797 100000\n64178 96264\n5984 8996\n19796 29846\n84122 100000\n18807 28330\n18865 28413\n34079 51269\n50816 76287\n78669 100000\n88188 100000\n80016 100000\n73591 100000\n64685 97019\n75484 100000\n76969 100000\n70446 100000\n34371 51699\n20914 31534\n78850 100000\n61026 91541\n18717 28195\n69291 100000\n75173 100000\n47648 71542\n84074 100000\n95598 100000\n70372 100000\n34305 51601\n61003 91506\n52815 79240\n51301 77010\n20760 31303\n29518 44457\n31987 48163\n15511 23368\n78909 100000\n33511 50421\n34714 52209\n16142 24330\n62422 93635\n89517 100000\n50928 76455\n40746 61274\n67875 100000\n30306 45652\n3107 4693\n29023 43728\n3361 5079\n75410 100000\n80109 100000\n69926 100000\n26736 40264\n45032 67653\n86347 100000\n62469 93705\n22874 34485\n83153 100000\n7215 10835\n83661 100000\n37029 55718\n18514 27894\n47870 71882\n17634 26569\n40641 61119\n61554 92311\n38184 57452\n18520 27903\n71386 100000\n34177 51401\n561 860\n96575 100000\n49024 73597\n38924 58548\n56515 84778\n50537 75863\n42188 63420\n37087 55800\n77460 100000\n40544 60975\n17445 26296\n19764 29799\n12374 18641\n60952 91433\n15766 23764\n9054 13625\n85377 100000\n76484 100000\n10700 16100\n93760 100000\n50122 75235\n48143 72298\n16903 25483\n37139 55882\n96543 100000\n37296 56106\n3516 5312\n57190 85769\n25319 38148\n23665 35680\n43747 65751\n76749 100000\n84922 100000\n66608 99941\n20072 30273\n52166 78289\n99197 100000\n36820 55403\n28996 43688\n14945 22529\n7253 10891\n71685 100000\n70831 100000\n44098 66262\n89998 100000\n15666 23612\n80258 100000\n75223 100000\n85766 100000\n57228 85831\n43345 65154\n35488 53380\n64342 96502\n29608 44591\n80043 100000\n38371 57732\n5177 7769\n12115 18247\n9104 13694\n25436 38325\n42803 64330\n45649 68586\n74128 100000\n15110 22771\n99632 100000\n47426 71212\n49531 74359\n35354 53180\n45869 68905\n61913 92860\n9750 14679\n46420 69726\n91802 100000\n64030 96042\n90726 100000\n5357 8046\n85374 100000\n54709 82082\n81853 100000\n18573 27983\n46276 69509\n13624 20522\n15735 23716\n71653 100000\n24523 36979\n63617 95416\n95143 100000\n8462 12724\n17274 26047\n38068 57278\n92968 100000\n72181 100000\n52936 79420\n18271 27526\n77924 100000\n87876 100000\n91402 100000\n44492 66837\n53086 79656\n13608 20498\n59025 88556\n71129 100000\n5697 8555\n71478 100000\n11927 17973\n66453 99707\n42928 64516\n56100 84152\n46822 70317\n89698 100000\n48924 73453\n10927 16440\n78031 100000\n77681 100000\n3358 5074\n24784 37352\n88040 100000\n29318 44171\n85932 100000\n52177 78305\n27140 40866\n88927 100000\n57045 85555\n35929 54038\n14290 21543\n10362 15596\n9287 13975\n89665 100000\n73559 100000\n47629 71513\n96026 100000\n16539 24925\n10238 15411\n54300 81480\n53360 80053\n38997 58658\n35342 53160\n46333 69590\n35952 54072\n97986 100000\n24264 36590\n57934 86909\n65717 98580\n34417 51770\n29369 44243\n87702 100000\n70853 100000\n77053 100000\n36709 55235\n47684 71597\n62500 93747\n76943 100000\n99982 100000\n63658 95472\n48755 73205\n54202 81337\n60222 90350\n71299 100000\n42870 64431\n62849 94262\n21762 32809\n80137 100000\n25821 38899\n97714 100000\n93053 100000\n66703 100000\n94082 100000\n71002 100000\n78369 100000\n53831 80774\n17444 26295\n23666 35681\n89578 100000\n77063 100000\n67048 100000\n75176 100000\n69733 100000\n41612 62556\n93314 100000\n2671 4042\n48861 73360\n87014 100000\n77192 100000\n59945 89941\n27511 41432\n64650 96963\n58701 88070\n88829 100000\n69514 100000\n30589 46076\n21927 33053\n16238 24480\n71766 100000\n37419 56300\n10913 16420\n48734 73171\n46768 70229\n31458 47369\n40471 60866\n36057 54231\n9063 13637\n48174 72347\n14459 21801\n34477 51857\n23738 35784\n31804 47898\n24908 37534\n45644 68579\n36656 55151\n96490 100000\n78776 100000\n91012 100000\n8692 13081\n91397 100000\n65805 98715\n95479 100000\n83247 100000\n23872 35984\n47998 72076\n13540 20397\n26865 40459\n55409 83118\n50284 75484\n44994 67600\n7378 11085\n34967 52600\n78517 100000\n68127 100000\n16067 24216\n19517 29418\n59515 89290\n33349 50186\n55554 83340\n68104 100000\n8602 12946\n23483 35415\n31100 46843\n43243 64995\n85745 100000\n25984 39136\n59845 89790\n63531 95283\n22241 33531\n29601 44581\n21288 32080\n36681 55193\n78920 100000\n52566 78878\n9152 13768\n47202 70872\n92063 100000\n78000 100000\n59832 89769\n38482 57895\n98676 100000\n12779 19247\n14506 21867\n76842 100000\n17096 25775\n55569 83362\n14056 21182\n51464 77254\n9713 14627\n27467 41365\n45965 69050\n58058 87100\n64242 96360\n87190 100000\n32743 49293\n91647 100000\n10414 15675\n96391 100000\n42439 63783\n30396 45786\n9714 14629\n29578 44549\n84005 100000\n80227 100000\n36955 55608\n89765 100000\n96781 100000\n66870 100000\n10222 15385\n22210 33486\n98763 100000\n34657 52124\n16043 24178\n81263 100000\n78261 100000\n85050 100000\n15331 23096\n43334 65135\n78327 100000\n19792 29841\n91141 100000\n42749 64250\n97721 100000\n1667 2539\n48665 73061\n65934 98917\n54614 81941\n87011 100000\n60696 91051\n10961 16494\n20327 30644\n62461 93692\n74784 100000\n54278 81446\n22636 34133\n7358 11052\n56767 85151\n68507 100000\n44251 66482\n17165 25885\n80416 100000\n34027 51193\n39010 58678\n9066 13641\n91026 100000\n87152 100000\n31739 47808\n85255 100000\n3245 4904\n33886 50978\n8548 12858\n63084 94617\n68158 100000\n10622 15979\n55893 83857\n9751 14680\n82744 100000\n22273 33583\n1278 1946\n86059 100000\n64157 96233\n65851 98787\n64120 96182\n60466 90710\n45546 68422\n20686 31196\n48624 72998\n59001 88526\n93725 100000\n72911 100000\n83632 100000\n5634 8457\n83239 100000\n71521 100000\n9808 14762\n39845 59936\n80019 100000\n2209 3348\n35986 54124\n25144 37892\n21950 33088\n85083 100000\n33867 50951\n57945 86927\n62480 93720\n65376 98060\n40428 60803\n6942 10423\n82480 100000\n45125 67790\n634 972\n69801 100000\n76689 100000\n55347 83029\n50586 75940\n29484 44405\n74583 100000\n20907 31522\n48146 72303\n5484 8229\n52822 79252\n4804 7218\n48399 72672\n62741 94103\n19533 29439\n48120 72265\n77338 100000\n78986 100000\n30667 46192\n47867 71878\n95515 100000\n65880 98833\n89640 100000\n11864 17879\n2688 4067\n74224 100000\n94228 100000\n28015 42192\n68878 100000\n97284 100000\n37935 57080\n60939 91415\n65144 97709\n95603 100000\n6321 9500\n52975 79482\n87238 100000\n43200 64930\n10536 15852\n68526 100000\n55213 82827\n54945 82427\n8143 12247\n57825 86741\n80891 100000\n97692 100000\n80629 100000\n58506 87777\n82000 100000\n54717 82095\n63507 95250\n87998 100000\n63668 95488\n74993 100000\n11067 16652\n59938 89931\n7505 11277\n79351 100000\n73505 100000\n43764 65780\n49309 74028\n48040 72137\n65143 97708\n82130 100000\n30230 45535\n24436 36849\n2798 4232\n99104 100000\n92708 100000\n34515 51917\n87585 100000\n48315 72551\n45382 68171\n86283 100000\n13343 20091\n43754 65763\n68635 100000\n53137 79728\n33876 50963\n63640 95446\n7186 10792\n54163 81279\n78435 100000\n89412 100000\n74148 100000\n31704 47756\n78512 100000\n77872 100000\n85913 100000\n63524 95275\n29921 45069\n82085 100000\n46972 70538\n7246 10881\n60251 90393\n44758 67239\n168 254\n17112 25800\n42444 63791\n32633 49133\n72116 100000\n87967 100000\n89461 100000\n58516 87793\n79025 100000\n80437 100000\n70619 100000\n74762 100000\n50164 75298\n5665 8506\n79723 100000\n72486 100000\n20221 30497\n60135 90219\n64103 96157\n74640 100000\n62435 93657\n3837 5775\n77835 100000\n16392 24708\n75254 100000\n19168 28874\n77172 100000\n30603 46094\n40573 61019\n45778 68775\n99904 100000\n29052 43773\n78541 100000\n8263 12423\n62755 94126\n39834 59921\n13175 19841\n60971 91458\n91595 100000\n4445 6685\n83404 100000\n33700 50706\n82558 100000\n56542 84820\n90451 100000\n17854 26905\n31570 47549\n17685 26644\n24668 37179\n63140 94702\n47408 71185\n81017 100000\n90176 100000\n83172 100000\n2155 3267\n44780 67269\n16723 25201\n48348 72597\n47703 71626\n66702 100000\n32479 48913\n2789 4219\n67260 100000\n59448 89196\n12645 19052\n55916 83891\n64371 96538\n45479 68315\n39117 58838\n13947 21025\n93002 100000\n36148 54367\n45774 68769\n84304 100000\n54342 81535\n15795 23813\n18103 27275\n88314 100000\n4831 7257\n7000 10508\n56369 84556\n97483 100000\n1883 2868\n36432 54804\n40890 61486\n88044 100000\n76734 100000\n61503 92234\n12338 18582\n37986 57159\n81885 100000\n70942 100000\n74358 100000\n69201 100000\n2136 3239\n52658 79009\n73780 100000\n56638 84963\n89350 100000\n34997 52642\n55236 82860\n11251 16936\n30019 45221\n59151 88747\n31533 47489\n42598 64030\n92764 100000\n10215 15375\n36888 55510\n12332 18573\n99902 100000\n84541 100000\n36299 54593\n15561 23446\n85773 100000\n4866 7310\n63817 95721\n63170 94746\n63399 95093\n51506 77324\n26813 40380\n82503 100000\n95830 100000\n8237 12386\n48503 72823\n81529 100000\n13483 20310\n67987 100000\n80589 100000\n39069 58768\n18540 27932\n53717 80599\n99610 100000\n51186 76851\n77247 100000\n79064 100000\n8921 13423\n75562 100000\n15678 23628\n42273 63542\n67516 100000\n49458 74250\n74658 100000\n98760 100000\n19 30\n97063 100000\n73031 100000\n46752 70206\n7019 10533\n54895 82354\n24218 36518\n48433 72719\n48258 72468\n8719 13123\n66507 99788\n64389 96562\n19372 29199\n43843 65892\n47477 71282\n29358 44229\n59526 89307\n15471 23306\n18546 27940\n90283 100000\n77319 100000\n83758 100000\n37549 56495\n29045 43763\n95764 100000\n73109 100000\n8703 13097\n89124 100000\n38529 57957\n55189 82792\n93449 100000\n48021 72111\n22340 33684\n8846 13313\n18891 28453\n70965 100000\n16764 25266\n23216 34993\n29714 44754\n96725 100000\n28237 42535\n50523 75843\n53536 80324\n94413 100000\n55857 83799\n90242 100000\n43332 65132\n42478 63841\n61558 92317\n77458 100000\n68607 100000\n90345 100000\n94907 100000\n95611 100000\n72570 100000\n47635 71522\n34697 52187\n36486 54889\n5973 8978\n65336 97998\n84788 100000\n22119 33349\n79189 100000\n62812 94208\n80368 100000\n98614 100000\n75491 100000\n74517 100000\n55462 83199\n49923 74929\n83481 100000\n7228 10853\n60042 90084\n45216 67924\n26985 40636\n28384 42758\n29042 43759\n45539 68410\n21076 31769\n43224 64966\n10225 15389\n70731 100000\n30450 45868\n41917 63017\n71476 100000\n35848 53920\n8917 13416\n2024 3080\n90820 100000\n91579 100000\n67626 100000\n86103 100000\n11053 16632\n18955 28547\n17736 26726\n32534 48993\n39495 59406\n44761 67243\n41022 61684\n9896 14899\n26388 39742\n50287 75488\n66299 99477\n90017 100000\n49320 74044\n95186 100000\n99091 100000\n15983 24084\n25388 38251\n63942 95902\n28867 43502\n75995 100000\n60662 91000\n85510 100000\n7502 11272\n23683 35708\n2336 3538\n92055 100000\n74965 100000\n12745 19202\n96319 100000\n47842 71841\n62508 93759\n32250 48563\n24901 37523\n34289 51575\n93035 100000\n70702 100000\n49672 74561\n70600 100000\n65664 98496\n48089 72214\n72616 100000\n58459 87708\n85842 100000\n95085 100000\n99939 100000\n37785 56853\n54946 82428\n35339 53156\n7282 10937\n33166 49915\n30132 45393\n54072 81142\n29164 43940\n16836 25378\n24608 37090\n89828 100000\n61297 91941\n20421 30792\n35458 53334\n22077 33280\n11853 17863\n26184 39438\n45879 68923\n50755 76194\n99284 100000\n72887 100000\n42367 63675\n47917 71956\n211 323\n3483 5266\n79649 100000\n10783 16228\n98222 100000\n40467 60861\n766 1178\n16521 24900\n8775 13205\n1579 2407\n19213 28946\n75799 100000\n69133 100000\n85384 100000\n42290 63566\n2405 3635\n54852 82295\n89837 100000\n95413 100000\n8125 12219\n50027 75084\n40393 60747\n31833 47946\n55036 82562\n51378 77126\n49589 74440\n38565 58013\n97235 100000\n71339 100000\n84451 100000\n57463 86200\n55682 83531\n2560 3876\n2404 3634\n1036 1579\n49857 74838\n9522 14334\n6683 10043\n96396 100000\n86921 100000\n94305 100000\n42174 63398\n30257 45576\n34278 51556\n63895 95834\n63464 95186\n87127 100000\n408 628\n65367 98047\n81961 100000\n94818 100000\n35252 53030\n66676 100000\n41115 61825\n56883 85320\n32691 49221\n13096 19722\n31864 47989\n39735 59776\n88772 100000\n15700 23661\n64905 97356\n24737 37284\n91408 100000\n71460 100000\n5762 8661\n32657 49168\n63519 95268\n33288 50099\n20147 30385\n72229 100000\n9437 14197\n76321 100000\n62254 93384\n21017 31683\n87166 100000\n71379 100000\n76136 100000\n14898 22457\n86560 100000\n75784 100000\n221 340\n99031 100000\n79118 100000\n91204 100000\n17826 26861\n98835 100000\n50838 76317\n1379 2112\n99949 100000\n26842 40423\n61104 91649\n1790 2725\n5346 8026\n32771 49338\n15874 23931\n76855 100000\n48555 72896\n71121 100000\n6147 9242\n46955 70513\n17584 26495\n84832 100000\n45264 67994\n7267 10913\n98453 100000\n37924 57064\n76073 100000\n19919 30041\n62945 94408\n14125 21288\n36616 55091\n50305 75517\n94440 100000\n66526 99816\n60060 90110\n24379 36765\n80932 100000\n28360 42728\n50688 76086\n11372 17131\n61134 91697\n69848 100000\n75680 100000\n33940 51058\n80214 100000\n71256 100000\n7002 10511\n67287 100000\n38862 58449\n77587 100000\n11524 17363\n10013 15077\n19250 29002\n37902 57028\n61021 91532\n26744 40279\n61662 92477\n61511 92247\n57729 86604\n27359 41206\n35656 53635\n86718 100000\n25528 38466\n22266 33572\n8836 13299\n58218 87336\n8257 12416\n31812 47909\n63239 94845\n27524 41453\n64201 96298\n73002 100000\n90240 100000\n117 176\n69816 100000\n26505 39918\n63442 95154\n35546 53464\n40795 61345\n62197 93295\n230 352\n76983 100000\n51468 77261\n29568 44533\n73008 100000\n49681 74575\n62346 93519\n21551 32482\n97996 100000\n5374 8072\n67059 100000\n11062 16644\n35931 54041\n36599 55058\n50663 76049\n72746 100000\n16654 25098\n27829 41914\n92155 100000\n19282 29052\n79331 100000\n81452 100000\n49456 74247\n7643 11485\n28230 42526\n30995 46681\n99381 100000\n57841 86767\n28543 43005\n79276 100000\n14810 22323\n31782 47867\n14601 22009\n44888 67441\n89706 100000\n35502 53399\n61869 92793\n554 849\n33637 50605\n29806 44895\n63725 95572\n89558 100000\n86674 100000\n79384 100000\n45209 67916\n12460 18770\n6058 9113\n46155 69335\n63013 94514\n48649 73036\n23543 35499\n42275 63544\n73761 100000\n9748 14676\n87964 100000\n9703 14613\n13243 19948\n56775 85163\n42425 63766\n77356 100000\n22504 33929\n40149 60388\n50656 76039\n85785 100000\n87651 100000\n93590 100000\n42750 64252\n46944 70497\n52544 78845\n74900 100000\n25056 37763\n7691 11557\n15802 23824\n40215 60482\n19626 29584\n55847 83784\n79145 100000\n95750 100000\n5589 8394\n85158 100000\n29446 44350\n22934 34575\n26166 39410\n49254 73946\n39628 59611\n42539 63940\n79910 100000\n31103 46846\n36024 54181\n42553 63960\n23152 34892\n32600 49085\n54455 81701\n16760 25258\n76957 100000\n97339 100000\n64186 96275\n28289 42618\n40065 60266\n4693 7045\n87554 100000\n23572 35542\n56844 85264\n89776 100000\n4942 7422\n44192 66392\n29735 44788\n89795 100000\n26325 39651\n58411 87634\n13057 19661\n73765 100000\n66807 100000\n27013 40679\n61726 92574\n17161 25879\n22053 33241\n39423 59295\n61607 92387\n81849 100000\n9447 14212\n24654 37158\n82160 100000\n11810 17796\n89129 100000\n22754 34303\n17476 26338\n67101 100000\n94444 100000\n64205 96305\n46987 70560\n86884 100000\n7257 10896\n2600 3933\n5144 7721\n37373 56229\n53786 80704\n1534 2341\n60915 91378\n8882 13364\n19232 28973\n54505 81775\n80857 100000\n23028 34716\n57242 85849\n9103 13693\n67641 100000\n40190 60446\n95349 100000\n73219 100000\n41220 61979\n52383 78607\n11380 17142\n47620 71499\n91549 100000\n45056 67690\n23841 35941\n53926 80919\n37808 56882\n90051 100000\n77205 100000\n70316 100000\n81912 100000\n90609 100000\n88622 100000\n98069 100000\n45595 68498\n1370 2097\n53898 80878\n29881 45011\n47590 71457\n7309 10977\n18841 28378\n74166 100000\n9274 13953\n6392 9604\n91684 100000\n98936 100000\n65448 98169\n69908 100000\n99992 100000\n58958 88456\n82180 100000\n44162 66349\n9919 14937\n6284 9445\n58228 87351\n54603 81925\n42556 63963\n68312 100000\n18946 28535\n77838 100000\n99331 100000\n18040 27177\n21669 32664\n30627 46128\n3953 5940\n27950 42099\n45421 68229\n79808 100000\n30065 45292\n4501 6771\n72037 100000\n94246 100000\n21650 32635\n94304 100000\n82003 100000\n58691 88055\n77799 100000\n11849 17856\n75303 100000\n85726 100000\n34345 51661\n36713 55240\n80269 100000\n3424 5173\n45622 68545\n82974 100000\n56639 84964\n68710 100000\n38289 57610\n7741 11634\n8730 13137\n4858 7299\n13978 21070\n25518 38454\n12502 18836\n5200 7802\n10667 16050\n46680 70108\n97148 100000\n37908 57039\n13232 19929\n28349 42714\n77709 100000\n60362 90557\n96019 100000\n27761 41814\n72721 100000\n88071 100000\n82052 100000\n29998 45187\n22550 33995\n6811 10234\n62111 93152\n75798 100000\n19094 28763\n52767 79169\n65610 98419\n91276 100000\n9414 14165\n85659 100000\n65355 98027\n91926 100000\n90495 100000\n83166 100000\n66245 99394\n14354 21631\n57515 86276\n93280 100000\n38897 58508\n74238 100000\n14088 21234\n63397 95090\n65654 98482\n71408 100000\n96097 100000\n29742 44798\n22711 34240\n56353 84530\n77705 100000\n9727 14649\n91000 100000\n78486 100000\n19222 28959\n2907 4393\n84250 100000\n27632 41619\n29339 44206\n4681 7027\n50190 75337\n43148 64850\n49693 74593\n85511 100000\n97905 100000\n77950 100000\n94816 100000\n58782 88196\n40917 61525\n31026 46724\n68986 100000\n10406 15664\n70306 100000\n50277 75474\n5119 7689\n81409 100000\n34231 51486\n2041 3103\n31262 47078\n28076 42289\n39335 59168\n43114 64800\n40744 61272\n52773 79178\n2045 3109\n18805 28326\n84407 100000\n8865 13342\n40387 60739\n72150 100000\n87297 100000\n40767 61305\n85310 100000\n74103 100000\n19884 29986\n85268 100000\n75684 100000\n99250 100000\n32973 49635\n51980 78025\n33265 50066\n92188 100000\n32459 48880\n13597 20482\n72825 100000\n96986 100000\n80916 100000\n53311 79978\n53966 80986\n81442 100000\n70527 100000\n91859 100000\n61050 91572\n66630 99978\n11000 16549\n56339 84506\n93945 100000\n6441 9680\n21048 31727\n53148 79743\n1925 2927\n45075 67716\n60683 91033\n23769 35829\n80501 100000\n49783 74728\n72033 100000\n47197 70865\n88146 100000\n64915 97372\n37123 55859\n77908 100000\n90887 100000\n26764 40310\n5512 8271\n8603 12948\n93757 100000\n26444 39823\n67126 100000\n48728 73164\n35832 53898\n99860 100000\n19680 29671\n84718 100000\n41798 62837\n80256 100000\n75342 100000\n47323 71060\n84493 100000\n24704 37234\n3971 5965\n45660 68601\n86923 100000\n19582 29518\n62048 93060\n94110 100000\n39128 58856\n75359 100000\n56244 84357\n50998 76560\n9897 14901\n35443 53310\n92876 100000\n985 1505\n36901 55530\n85147 100000\n78528 100000\n13906 20952\n30023 45225\n35011 52665\n61495 92223\n86072 100000\n82145 100000\n4525 6809\n15128 22799\n71591 100000\n14067 21201\n65760 98648\n28361 42729\n33382 50233\n81410 100000\n14475 21823\n83329 100000\n68535 100000\n4031 6054\n93983 100000\n66067 99117\n76647 100000\n84732 100000\n47455 71253\n38171 57431\n15055 22684\n17420 26260\n11187 16837\n57994 87003\n51415 77181\n70061 100000\n53945 80953\n18216 27444\n30981 46663\n87101 100000\n27114 40826\n39858 59954\n317 486\n49098 73705\n36041 54207\n59666 89519\n25128 37864\n18135 27323\n99172 100000\n81811 100000\n42318 63604\n24782 37348\n16174 24381\n92935 100000\n22583 34050\n74580 100000\n51714 77637\n90458 100000\n72490 100000\n93605 100000\n45050 67680\n58219 87337\n36585 55038\n47741 71684\n79370 100000\n71662 100000\n35171 52911\n73971 100000\n41955 63078\n6596 9911\n29192 43984\n16533 24917\n32048 48258\n92686 100000\n19485 29371\n89015 100000\n53294 79953\n10828 16296\n59276 88937\n57350 86025\n94342 100000\n55816 83732\n74314 100000\n98545 100000\n99181 100000\n14002 21107\n99654 100000\n55082 82634\n62286 93431\n57768 86659\n10697 16096\n50485 75789\n7329 11012\n20345 30674\n38552 57993\n38472 57881\n11535 17381\n61031 91547\n15428 23235\n7920 11906\n5593 8399\n50331 75558\n90164 100000\n51677 77582\n81981 100000\n67917 100000\n38527 57955\n14049 21171\n67914 100000\n55570 83364\n11223 16892\n22941 34585\n24644 37143\n35684 53674\n20590 31053\n55045 82576\n60191 90302\n27961 42116\n26035 39212\n3846 5785\n92224 100000\n90351 100000\n23609 35592\n58437 87677\n97073 100000\n49064 73656\n23991 36169\n30039 45249\n53264 79909\n48375 72637\n16997 25622\n20232 30510\n5772 8676\n98263 100000\n59871 89829\n98938 100000\n8357 12565\n60569 90862\n62531 93791\n50921 76443\n11466 17272\n75783 100000\n35353 53178\n41003 61656\n60549 90832\n71184 100000\n56407 84611\n44471 66805\n7294 10955\n32393 48779\n24104 36341\n80699 100000\n24639 37133\n85536 100000\n69913 100000\n55923 83902\n4088 6138\n51973 78014\n12694 19124\n72144 100000\n18315 27594\n20794 31355\n41926 63032\n61234 91844\n49472 74272\n12652 19062\n29627 44619\n62610 93912\n82141 100000\n19117 28796\n85763 100000\n80677 100000\n13016 19598\n42004 63151\n65508 98265\n42720 64207\n41018 61676\n9980 15025\n4818 7241\n71238 100000\n65626 98440\n4186 6286\n16059 24205\n55733 83608\n3440 5199\n18734 28219\n19759 29792\n6111 9186\n76570 100000\n70273 100000\n13451 20260\n98530 100000\n9126 13726\n20966 31608\n28888 43531\n68876 100000\n17965 27069\n56936 85403\n8610 12957\n61612 92395\n40775 61317\n62342 93512\n11400 17176\n50577 75927\n72291 100000\n2551 3864\n41956 63080\n72832 100000\n5613 8425\n39954 60100\n15547 23424\n91530 100000\n78202 100000\n1314 2004\n23195 34960\n22408 33787\n23107 34829\n99466 100000\n92286 100000\n10127 15250\n18304 27577\n54805 82228\n58247 87379\n18669 28127\n10364 15599\n92600 100000\n84538 100000\n66343 99546\n56365 84549\n48807 73278\n48544 72882\n25576 38537\n58833 88273\n72545 100000\n99311 100000\n42582 64005\n72904 100000\n28121 42357\n59343 89047\n29611 44596\n66898 100000\n43209 64943\n86223 100000\n43554 65459\n86632 100000\n97426 100000\n87368 100000\n18896 28461\n68690 100000\n19602 29551\n80231 100000\n38543 57978\n75613 100000\n33317 50139\n50084 75174\n10009 15072\n399 614\n96735 100000\n94419 100000\n75409 100000\n34808 52352\n16856 25410\n96217 100000\n64987 97474\n40390 60743\n13114 19750\n10837 16311\n8439 12689\n56176 84258\n3559 5372\n52814 79238\n30025 45228\n7719 11603\n63612 95406\n45529 68392\n79211 100000\n76307 100000\n37771 56831\n82712 100000\n45971 69060\n75703 100000\n74040 100000\n25786 38845\n27737 41773\n20126 30354\n94177 100000\n62703 94049\n1021 1557\n108 161\n98180 100000\n85950 100000\n92831 100000\n46516 69866\n97587 100000\n70577 100000\n23128 34856\n70857 100000\n78316 100000\n27874 41986\n5354 8040\n32482 48916\n31378 47252\n17887 26958\n44485 66826\n64822 97230\n19431 29292\n25792 38854\n2656 4018\n1145 1750\n31702 47754\n35315 53117\n83519 100000\n73013 100000\n45478 68313\n99360 100000\n23109 34832\n60272 90424\n24361 36738\n20049 30237\n91740 100000\n45785 68786\n31462 47376\n88397 100000\n15863 23917\n30943 46609\n68279 100000\n13571 20446\n53121 79705\n9209 13848\n37620 56601\n57883 86833\n76695 100000\n95390 100000\n34503 51897\n49359 74101\n18679 28141\n37130 55868\n8629 12987\n96214 100000\n67330 100000\n66527 99817\n98671 100000\n62200 93300\n72465 100000\n59026 88557\n51435 77210\n55443 83170\n77735 100000\n36503 54915\n25434 38323\n54859 82305\n7661 11513\n1015 1548\n19949 30089\n26199 39460\n74997 100000\n68711 100000\n22174 33433\n501 765\n41907 63006\n49702 74607\n86607 100000\n56085 84129\n91343 100000\n24612 37097\n77676 100000\n98836 100000\n33624 50587\n30768 46350\n6924 10400\n41731 62735\n2694 4076\n20824 31400\n21560 32496\n95312 100000\n22453 33854\n46833 70332\n50039 75104\n92906 100000\n32273 48597\n44572 66961\n91137 100000\n29194 43988\n48309 72542\n9991 15041\n17797 26816\n81761 100000\n24774 37337\n39029 58706\n82035 100000\n46523 69876\n32414 48813\n152 229\n8951 13471\n60849 91283\n42018 63169\n51838 77821\n19717 29724\n65243 97850\n58749 88146\n89868 100000\n12243 18439\n40349 60685\n52333 78539\n73346 100000\n21081 31777\n76344 100000\n59985 90001\n94102 100000\n38625 58108\n51309 77023\n7161 10750\n41621 62569\n37020 55705\n59575 89384\n14819 22338\n21753 32795\n43728 65722\n94397 100000\n40630 61102\n74933 100000\n98125 100000\n36902 55532\n57434 86156\n7385 11096\n6046 9093\n46097 69251\n83570 100000\n64275 96405\n68626 100000\n79129 100000\n91840 100000\n88403 100000\n48673 73073\n65344 98010\n72254 100000\n60953 91434\n17840 26882\n92912 100000\n51573 77423\n77186 100000\n8217 12356\n98551 100000\n77834 100000\n87945 100000\n59978 89988\n30348 45712\n73019 100000\n59851 89799\n98560 100000\n67108 100000\n50739 76171\n98184 100000\n72674 100000\n48407 72681\n77020 100000\n40723 61240\n2368 3587\n31954 48119\n6381 9586\n39273 59069\n21370 32206\n37718 56751\n55884 83841\n55180 82777\n38626 58109\n49960 74984\n57900 86859\n83475 100000\n8545 12854\n88627 100000\n85874 100000\n90810 100000\n95514 100000\n44292 66543\n60141 90227\n16704 25174\n70158 100000\n76242 100000\n71636 100000\n62481 93721\n67533 100000\n21780 32836\n57754 86639\n85540 100000\n43626 65566\n20710 31233\n48853 73348\n5860 8803\n93700 100000\n96123 100000\n93793 100000\n82050 100000\n34626 52078\n99483 100000\n50024 75080\n81921 100000\n89646 100000\n67622 100000\n95487 100000\n89036 100000\n75676 100000\n27738 41775\n28490 42919\n3985 5985\n89241 100000\n20915 31536\n35937 54048\n77994 100000\n11425 17215\n12425 18716\n38653 58147\n42071 63244\n82950 100000\n60556 90840\n41999 63144\n92183 100000\n84110 100000\n286 439\n23032 34723\n10015 15081\n45508 68357\n59402 89135\n83128 100000\n92148 100000\n20149 30388\n68343 100000\n49208 73880\n97379 100000\n40256 60546\n23079 34787\n51752 77697\n82137 100000\n26879 40481\n69364 100000\n15278 23022\n50073 75156\n14997 22600\n94899 100000\n78955 100000\n23437 35346\n35341 53159\n56530 84802\n52722 79098\n23220 35000\n4788 7193\n14488 21841\n77786 100000\n19588 29527\n4126 6192\n80582 100000\n63713 95556\n41819 62865\n18124 27307\n35514 53416\n72175 100000\n87599 100000\n28548 43014\n23001 34674\n66797 100000\n96385 100000\n26593 40037\n17062 25722\n74768 100000\n14074 21212\n57433 86155\n69710 100000\n53779 80693\n91837 100000\n46483 69820\n89335 100000\n45033 67654\n13730 20683\n53221 79850\n72176 100000\n47041 70636\n24592 37067\n76097 100000\n90939 100000\n3901 5865\n41213 61970\n58036 87063\n9949 14979\n7085 10643\n80602 100000\n3735 5624\n76180 100000\n87380 100000\n28437 42845\n67773 100000\n70153 100000\n13983 21078\n27259 41047\n42875 64438\n8414 12656\n45311 68069\n95733 100000\n48729 73165\n38293 57616\n65347 98014\n67359 100000\n81142 100000\n54543 81829\n69495 100000\n36410 54772\n76423 100000\n23908 36042\n42023 63176\n19256 29009\n83347 100000\n61609 92390\n78204 100000\n99895 100000\n73174 100000\n17243 26002\n6513 9790\n55449 83179\n34700 52190\n44173 66364\n24154 36415\n96642 100000\n59033 88568\n53848 80799\n14854 22394\n47317 71048\n24778 37341\n23733 35778\n39636 59623\n84292 100000\n85414 100000\n49381 74137\n16897 25473\n56551 84834\n81420 100000\n76682 100000\n87919 100000\n39840 59931\n74674 100000\n87356 100000\n81562 100000\n77760 100000\n58523 87802\n52694 79059\n19364 29184\n85353 100000\n32742 49291\n31185 46969\n12304 18534\n95451 100000\n86422 100000\n11900 17933\n6871 10319\n14878 22428\n46446 69763\n22850 34447\n86906 100000\n67155 100000\n48611 72977\n19938 30074\n25263 38067\n15714 23684\n25097 37823\n95287 100000\n59625 89456\n52772 79176\n42024 63177\n52355 78569\n44491 66835\n96257 100000\n54339 81532\n19239 28986\n85654 100000\n22966 34622\n50608 75972\n64621 96919\n88935 100000\n96338 100000\n36416 54782\n64492 96721\n38324 57661\n94693 100000\n98121 100000\n93808 100000\n71418 100000\n93731 100000\n87407 100000\n29613 44599\n78180 100000\n49729 74646\n69638 100000\n73997 100000\n27999 42169\n71064 100000\n77598 100000\n77910 100000\n83294 100000\n43972 66082\n68802 100000\n78167 100000\n16060 24207\n66564 99872\n28197 42475\n89321 100000\n85655 100000\n65065 97590\n70554 100000\n67147 100000\n28564 43039\n56023 84047\n93895 100000\n97091 100000\n64828 97241\n22165 33418\n49216 73892\n70035 100000\n91513 100000\n13927 20988\n26692 40198\n88123 100000\n79980 100000\n20528 30961\n4749 7132\n78197 100000\n14656 22092\n61091 91631\n97562 100000\n31884 48020\n9381 14112\n61337 91993\n44960 67546\n24314 36667\n88447 100000\n182 278\n96452 100000\n73741 100000\n64911 97366\n8621 12975\n43663 65622\n69592 100000\n4852 7289\n15897 23964\n83899 100000\n97613 100000\n65744 98621\n45263 67993\n67646 100000\n19385 29217\n24682 37199\n36845 55442\n34184 51412\n11766 17733\n48044 72143\n66891 100000\n67315 100000\n27650 41647\n9756 14687\n60206 90322\n30002 45194\n63481 95212\n92458 100000\n15270 23010\n72263 100000\n82536 100000\n84563 100000\n24679 37196\n26109 39329\n94519 100000\n66080 99138\n67528 100000\n67583 100000\n96005 100000\n54284 81457\n83745 100000\n80037 100000\n89951 100000\n27455 41347\n77882 100000\n14382 21673\n5187 7782\n50939 76473\n37458 56363\n76970 100000\n29875 45001\n32962 49618\n47206 70878\n30355 45722\n96878 100000\n53168 79774\n64057 96084\n58657 88003\n59496 89264\n37786 56854\n85071 100000\n39835 59923\n64474 96694\n5006 7516\n73802 100000\n38309 57638\n44349 66625\n64655 96970\n25068 37781\n18650 28098\n76450 100000\n53757 80662\n44631 67045\n70010 100000\n20868 31466\n83919 100000\n14682 22133\n10767 16207\n83163 100000\n27334 41166\n28168 42428\n52673 79029\n13474 20296\n27751 41798\n40299 60612\n24122 36369\n71208 100000\n21883 32986\n94371 100000\n57800 86706\n32377 48754\n12183 18348\n2726 4124\n68875 100000\n84017 100000\n95962 100000\n38684 58191\n40964 61596\n66489 99762\n29910 45053\n33642 50615\n47844 71845\n94241 100000\n30338 45696\n75043 100000\n69965 100000\n11964 18026\n1609 2451\n41283 62071\n52718 79093\n69045 100000\n35360 53188\n94963 100000\n52803 79225\n65538 98308\n27528 41460\n35876 53963\n4209 6320\n12734 19188\n61251 91873\n38881 58485\n93748 100000\n62724 94079\n94198 100000\n39229 59007\n431 662\n87825 100000\n17565 26467\n29702 44733\n32054 48266\n99221 100000\n30801 46398\n41361 62181\n58995 88514\n25081 37799\n68301 100000\n96965 100000\n25487 38406\n59275 88935\n36687 55202\n50321 75541\n82647 100000\n75622 100000\n9758 14691\n4976 7473\n52271 78445\n21250 32020\n57017 85514\n10680 16070\n64772 97158\n86915 100000\n21875 32976\n23430 35337\n82637 100000\n59746 89642\n57711 86578\n34163 51381\n83173 100000\n19490 29380\n68978 100000\n25887 38996\n99464 100000\n43515 65397\n69396 100000\n84101 100000\n29494 44419\n92213 100000\n65439 98156\n85352 100000\n52299 78490\n18494 27864\n28967 43646\n91380 100000\n94778 100000\n35110 52812\n73751 100000\n42847 64394\n80565 100000\n40138 60373\n18543 27936\n37967 57131\n79659 100000\n84663 100000\n47959 72019\n20372 30716\n65283 97914\n74591 100000\n28994 43685\n27870 41978\n25987 39140\n29633 44630\n21073 31765\n21792 32853\n34172 51393\n67702 100000\n57223 85824\n67120 100000\n63259 94877\n20242 30526\n58364 87557\n18890 28451\n42868 64429\n34175 51397\n35428 53290\n54516 81790\n59173 88779\n62743 94106\n20866 31464\n32190 48470\n27665 41667\n63809 95709\n24128 36377\n2395 3622\n38963 58608\n23914 36049\n11252 16937\n96387 100000\n65458 98184\n9594 14449\n69240 100000\n61098 91643\n10607 15956\n8481 12753\n58482 87740\n45802 68812\n71754 100000\n94286 100000\n73698 100000\n82960 100000\n47891 71910\n2429 3667\n41210 61966\n87085 100000\n45809 68821\n54414 81642\n93555 100000\n3927 5900\n52323 78524\n21538 32461\n3878 5832\n42035 63192\n37154 55905\n63724 95571\n17549 26446\n2379 3601\n98594 100000\n66207 99334\n56379 84572\n29344 44212\n4444 6683\n98576 100000\n83885 100000\n15376 23162\n90396 100000\n16691 25155\n30742 46307\n9058 13631\n81832 100000\n66074 99128\n74626 100000\n35196 52952\n71616 100000\n10316 15531\n25517 38452\n6773 10180\n89623 100000\n13869 20895\n70071 100000\n16999 25625\n76239 100000\n25522 38458\n62987 94473\n69630 100000\n10705 16108\n41854 62923\n59059 88609\n58278 87422\n58708 88082\n35198 52955\n55587 83390\n24815 37392\n87861 100000\n77335 100000\n16000 24110\n4591 6900\n17766 26773\n19714 29720\n50415 75689\n31611 47619\n32602 49088\n81960 100000\n11233 16908\n64610 96900\n32327 48678\n86620 100000\n56938 85406\n66782 100000\n16709 25183\n43050 64700\n9933 14956\n67427 100000\n47368 71127\n76253 100000\n63391 95081\n74054 100000\n37954 57111\n3889 5848\n6485 9747\n11179 16824\n47456 71255\n94460 100000\n59089 88653\n81122 100000\n62630 93942\n86659 100000\n10772 16215\n85940 100000\n3469 5240\n95179 100000\n76322 100000\n21785 32845\n76907 100000\n69986 100000\n89943 100000\n15038 22660\n34900 52497\n46974 70541\n22728 34267\n98147 100000\n51132 76764\n76486 100000\n18745 28236\n16436 24769\n92379 100000\n72008 100000\n27429 41312\n45100 67757\n39715 59746\n22078 33281\n35388 53230\n49142 73777\n59451 89200\n43984 66100\n38265 57575\n74393 100000\n7611 11439\n41987 63128\n49696 74599\n19827 29894\n95523 100000\n98970 100000\n80612 100000\n36063 54241\n21386 32229\n42655 64110\n92930 100000\n1229 1874\n18276 27533\n46019 69130\n74163 100000\n58292 87445\n63458 95177\n95122 100000\n12966 19520\n71358 100000\n41464 62335\n87539 100000\n99263 100000\n43526 65414\n57957 86946\n2860 4320\n35164 52899\n37194 55959\n98510 100000\n77434 100000\n18353 27649\n7150 10735\n98460 100000\n70699 100000\n43169 64880\n95393 100000\n69714 100000\n93573 100000\n22947 34594\n4060 6098\n12867 19370\n92911 100000\n24209 36501\n1735 2642\n97579 100000\n18859 28404\n89651 100000\n18593 28011\n59548 89339\n53393 80104\n15234 22955\n14185 21378\n36108 54304\n13699 20637\n26421 39791\n9674 14568\n67858 100000\n91660 100000\n64618 96915\n87868 100000\n87522 100000\n8914 13412\n27224 40995\n88653 100000\n59503 89276\n70402 100000\n94632 100000\n3011 4550\n63263 94883\n74011 100000\n59124 88707\n68361 100000\n17470 26329\n9988 15037\n46662 70083\n59531 89315\n53827 80767\n52753 79149\n52176 78304\n80538 100000\n79732 100000\n71024 100000\n54188 81319\n92755 100000\n27351 41192\n63613 95408\n70918 100000\n45068 67706\n6059 9114\n62033 93035\n27949 42097\n41058 61740\n62439 93663\n34599 52039\n3845 5784\n31681 47723\n92421 100000\n46010 69113\n4863 7306\n92297 100000\n17664 26612\n77316 100000\n28922 43580\n25579 38541\n11269 16969\n18835 28369\n22799 34372\n29761 44828\n325 498\n69850 100000\n38947 58583\n6065 9122\n52794 79213\n9262 13933\n82727 100000\n76272 100000\n8721 13126\n9222 13867\n85488 100000\n91748 100000\n31941 48102\n37867 56972\n43745 65749\n51881 77883\n9485 14273\n2519 3812\n16410 24734\n57690 86547\n23880 35996\n1182 1806\n40800 61352\n62141 93204\n91910 100000\n26370 39718\n91298 100000\n1877 2861\n76910 100000\n49196 73860\n57230 85833\n4441 6677\n11357 17105\n24785 37353\n78281 100000\n34640 52096\n78230 100000\n95151 100000\n77304 100000\n92834 100000\n9755 14686\n59045 88587\n75800 100000\n71390 100000\n37323 56148\n52534 78830\n51995 78049\n88865 100000\n25278 38087\n26407 39773\n41846 62911\n24625 37116\n56538 84814\n65217 97817\n2819 4263\n30828 46439\n19662 29640\n10495 15795\n27067 40760\n85329 100000\n54431 81667\n40664 61156\n18395 27703\n87322 100000\n7601 11423\n77033 100000\n92194 100000\n16587 25000\n89082 100000\n37962 57122\n81331 100000\n91953 100000\n37647 56641\n64304 96447\n87377 100000\n7083 10641\n44394 66694\n4911 7380\n77124 100000\n37070 55774\n8463 12726\n16408 24731\n26193 39452\n1059 1616\n36048 54216\n62978 94457\n81778 100000\n8713 13113\n1338 2042\n3581 5402\n95483 100000\n41618 62566\n88182 100000\n12427 18719\n12406 18688\n8095 12175\n69326 100000\n15559 23443\n8137 12238\n54094 81174\n24769 37329\n33861 50941\n13126 19767\n87471 100000\n24516 36968\n71702 100000\n81566 100000\n93742 100000\n5103 7664\n79238 100000\n526 805\n16982 25602\n86916 100000\n2402 3631\n53696 80565\n57016 85513\n94100 100000\n45786 68788\n13670 20593\n65559 98340\n80669 100000\n8450 12709\n6037 9079\n13678 20605\n359 553\n42665 64124\n12104 18232\n94684 100000\n38911 58528\n48371 72631\n18232 27467\n5087 7640\n41105 61809\n37111 55837\n75332 100000\n58387 87593\n89898 100000\n8606 12952\n23389 35269\n55937 83922\n93869 100000\n66339 99540\n70145 100000\n55155 82739\n49025 73598\n38822 58391\n77366 100000\n11355 17102\n13144 19794\n14287 21539\n82930 100000\n60529 90803\n86776 100000\n88635 100000\n52968 79473\n16569 24971\n86336 100000\n44852 67382\n72293 100000\n86109 100000\n49568 74409\n4544 6836\n48795 73262\n68271 100000\n71626 100000\n77237 100000\n49102 73710\n8070 12137\n46326 69580\n82804 100000\n59066 88619\n59731 89619\n41435 62289\n67991 100000\n29215 44016\n60574 90869\n12151 18303\n92133 100000\n63762 95636\n25982 39133\n89110 100000\n3849 5788\n35529 53440\n55942 83928\n70584 100000\n89 135\n44732 67200\n90420 100000\n33194 49957\n26115 39339\n66706 100000\n23200 34969\n71541 100000\n25276 38085\n77937 100000\n56182 84267\n29687 44710\n70043 100000\n11608 17491\n6356 9551\n13981 21074\n92349 100000\n74988 100000\n16911 25495\n58737 88127\n41807 62848\n78573 100000\n19784 29830\n94962 100000\n83266 100000\n7414 11143\n6231 9365\n65440 98157\n66040 99075\n82182 100000\n99229 100000\n43016 64650\n50247 75428\n40209 60475\n64480 96701\n82596 100000\n92716 100000\n36697 55219\n33995 51143\n39760 59815\n39665 59666\n99936 100000\n54780 82189\n45426 68235\n21060 31745\n29662 44673\n45849 68876\n20203 30467\n67620 100000\n41870 62948\n33603 50557\n23106 34827\n43190 64914\n67414 100000\n10437 15708\n95397 100000\n9412 14163\n92518 100000\n16061 24208\n1612 2454\n78130 100000\n74949 100000\n67073 100000\n80517 100000\n83640 100000\n30672 46199\n79048 100000\n58230 87354\n4409 6625\n20871 31471\n48289 72509\n52456 78718\n98826 100000\n24408 36807\n2807 4244\n70480 100000\n20295 30600\n85558 100000\n44848 67374\n46648 70062\n8149 12256\n44782 67272\n79062 100000\n87332 100000\n66779 100000\n84806 100000\n96381 100000\n1894 2884\n44873 67416\n77809 100000\n42769 64278\n55639 83468\n81654 100000\n9489 14280\n14093 21241\n85635 100000\n13037 19629\n65550 98326\n53456 80199\n64653 96967\n42496 63867\n93189 100000\n44142 66323\n33240 50029\n78035 100000\n41799 62838\n77595 100000\n58993 88512\n12819 19304\n91146 100000\n35996 54139\n713 1097\n30060 45285\n94714 100000\n70959 100000\n84201 100000\n75054 100000\n82228 100000\n48686 73095\n2558 3874\n85778 100000\n89733 100000\n49179 73831\n98256 100000\n92559 100000\n78280 100000\n77581 100000\n35943 54057\n95171 100000\n5109 7672\n93752 100000\n32144 48398\n52296 78485\n73644 100000\n64442 96645\n84912 100000\n40866 61448\n77896 100000\n75419 100000\n29565 44528\n48837 73322\n72810 100000\n63311 94956\n85656 100000\n56600 84904\n79727 100000\n34336 51649\n13089 19711\n97691 100000\n95238 100000\n3706 5581\n80504 100000\n30367 45742\n982 1501\n48819 73296\n71689 100000\n26594 40038\n95923 100000\n97153 100000\n30535 45998\n1419 2175\n62398 93600\n52507 78792\n46635 70043\n75593 100000\n85247 100000\n50550 75885\n9324 14031\n79746 100000\n35101 52801\n14399 21706\n35356 53183\n57844 86771\n35713 53718\n20382 30734\n50752 76188\n9350 14067\n52024 78093\n27074 40770\n558 855\n61826 92725\n98507 100000\n57663 86504\n43787 65810\n30411 45807\n49690 74590\n39145 58885\n61589 92364\n79290 100000\n39436 59316\n97424 100000\n79650 100000\n40978 61616\n37429 56318\n53664 80517\n70579 100000\n23857 35965\n87889 100000\n78559 100000\n78472 100000\n74088 100000\n91653 100000\n66033 99063\n80647 100000\n72134 100000\n92165 100000\n33809 50869\n71413 100000\n88655 100000\n55296 82956\n71185 100000\n22248 33542\n87854 100000\n74917 100000\n38593 58055\n52994 79509\n74625 100000\n17575 26482\n24672 37185\n19686 29677\n75164 100000\n39036 58715\n64725 97082\n84790 100000\n30291 45629\n6540 9830\n78556 100000\n12981 19541\n13069 19681\n75449 100000\n41352 62170\n63320 94970\n42141 63353\n12268 18478\n20516 30942\n23159 34904\n87446 100000\n41520 62420\n38479 57891\n79608 100000\n86742 100000\n97357 100000\n56839 85256\n21938 33070\n52580 78901\n57507 86265\n85408 100000\n39250 59037\n43852 65907\n25322 38153\n63472 95197\n22694 34217\n91441 100000\n68839 100000\n49330 74057\n94465 100000\n36077 54262\n39613 59587\n26745 40281\n84627 100000\n26768 40317\n59853 89802\n67851 100000\n86099 100000\n36495 54902\n80622 100000\n2300 3484\n37684 56694\n1358 2076\n91717 100000\n91111 100000\n48695 73108\n90611 100000\n22970 34628\n44883 67432\n45888 68935\n53143 79738\n6509 9784\n62180 93266\n22869 34476\n78993 100000\n40436 60813\n39668 59672\n62316 93477\n57371 86059\n32419 48819\n8044 12097\n64606 96894\n79010 100000\n38160 57411\n72996 100000\n97317 100000\n43551 65455\n24789 37359\n13398 20177\n1836 2796\n79792 100000\n64921 97380\n86683 100000\n65800 98708\n97415 100000\n10994 16539\n49715 74626\n7730 11618\n88718 100000\n53519 80296\n22451 33851\n55647 83478\n80774 100000\n71098 100000\n2253 3413\n99567 100000\n92651 100000\n49614 74479\n72143 100000\n57117 85662\n40295 60605\n30888 46530\n73184 100000\n21975 33127\n26154 39394\n96006 100000\n90782 100000\n99544 100000\n49855 74835\n96646 100000\n50822 76295\n32031 48231\n94142 100000\n81503 100000\n59468 89224\n52091 78181\n97042 100000\n99391 100000\n24446 36863\n93390 100000\n78005 100000\n37358 56205\n58897 88362\n45041 67667\n58136 87217\n8215 12353\n99676 100000\n6598 9914\n67785 100000\n84033 100000\n62460 93691\n64373 96541\n15619 23536\n6685 10045\n39875 59983\n68879 100000\n53721 80606\n29159 43931\n79586 100000\n5359 8050\n75321 100000\n11404 17183\n98966 100000\n37472 56380\n94377 100000\n72552 100000\n20180 30431\n4334 6513\n11572 17438\n30595 46084\n63803 95701\n87302 100000\n64648 96960\n24185 36461\n71816 100000\n79423 100000\n66755 100000\n84278 100000\n4971 7465\n68706 100000\n63716 95560\n96382 100000\n87352 100000\n58014 87032\n5635 8459\n29166 43943\n53315 79983\n73965 100000\n981 1499\n9302 13997\n43231 64977\n88285 100000\n33698 50703\n71282 100000\n89298 100000\n40103 60319\n57324 85982\n52289 78473\n32741 49290\n213 327\n83829 100000\n70791 100000\n29697 44726\n19074 28731\n98907 100000\n13861 20882\n71082 100000\n3688 5556\n22290 33608\n84437 100000\n14040 21160\n99186 100000\n29421 44313\n92748 100000\n20944 31574\n93690 100000\n83033 100000\n76606 100000\n38283 57602\n54760 82162\n75143 100000\n54606 81930\n31240 47049\n34661 52131\n69575 100000\n6380 9584\n91218 100000\n11882 17906\n94850 100000\n80963 100000\n8426 12672\n28474 42897\n40647 61130\n13769 20745\n56422 84632\n34364 51689\n24529 36987\n20899 31510\n67730 100000\n53418 80143\n15475 23312\n86218 100000\n5339 8016\n47377 71139\n85954 100000\n74938 100000\n51745 77686\n68498 100000\n68013 100000\n30421 45822\n94458 100000\n82751 100000\n12997 19567\n6745 10139\n37711 56740\n66153 99253\n26346 39682\n28782 43375\n15510 23367\n49480 74283\n241 370\n93833 100000\n10688 16082\n69039 100000\n4780 7181\n15873 23930\n92309 100000\n4935 7413\n84266 100000\n52909 79381\n41555 62470\n37696 56713\n59919 89904\n36893 55519\n11283 16989\n67138 100000\n83301 100000\n29771 44844\n74431 100000\n48585 72938\n46897 70426\n94683 100000\n4143 6214\n85611 100000\n95289 100000\n2130 3231\n5344 8023\n3088 4666\n12766 19230\n82830 100000\n36846 55443\n58687 88049\n41632 62585\n36145 54363\n62876 94303\n84875 100000\n64715 97066\n34146 51358\n40019 60200\n69107 100000\n51126 76754\n34674 52153\n21824 32901\n68077 100000\n90658 100000\n26170 39417\n31095 46834\n84069 100000\n86853 100000\n69356 100000\n189 290\n61022 91534\n86392 100000\n66655 100000\n22336 33677\n54410 81637\n65598 98404\n6425 9654\n59844 89789\n84874 100000\n98494 100000\n74294 100000\n22039 33221\n34614 52061\n46713 70147\n32752 49307\n81627 100000\n12991 19559\n22147 33393\n79926 100000\n99548 100000\n44154 66339\n97128 100000\n93845 100000\n54767 82172\n41471 62346\n98583 100000\n37932 57075\n51541 77374\n31647 47670\n67373 100000\n52438 78689\n78807 100000\n99123 100000\n28612 43112\n75014 100000\n82153 100000\n7493 11260\n61418 92116\n20821 31396\n819 1259\n73419 100000\n41770 62790\n2506 3789\n80120 100000\n59711 89592\n50038 75102\n54641 81980\n63480 95210\n46264 69492\n29974 45151\n19203 28931\n66593 99917\n35711 53715\n18274 27531\n25659 38650\n71549 100000\n63853 95771\n31933 48090\n65388 98079\n82460 100000\n37977 57147\n62069 93091\n82800 100000\n20643 31132\n73728 100000\n61912 92859\n28830 43448\n46551 69918\n33627 50590\n51943 77975\n58966 88469\n88092 100000\n61427 92128\n81416 100000\n50970 76516\n42926 64513\n57478 86221\n52300 78492\n36089 54279\n49819 74780\n3665 5524\n6417 9643\n54535 81818\n33151 49894\n72050 100000\n70789 100000\n10631 15992\n63434 95142\n88409 100000\n21259 32034\n41789 62823\n68792 100000\n46291 69530\n35717 53723\n29067 43795\n28416 42811\n92569 100000\n90894 100000\n45027 67647\n36406 54766\n73899 100000\n14267 21508\n45314 68074\n383 589\n53910 80895\n29794 44880\n68770 100000\n24607 37089\n57322 85978\n13851 20867\n77462 100000\n72963 100000\n79799 100000\n8575 12902\n12965 19519\n96218 100000\n76025 100000\n73106 100000\n15758 23753\n32137 48389\n40774 61316\n18882 28440\n63214 94811\n25383 38243\n67438 100000\n33607 50563\n72833 100000\n92385 100000\n29422 44315\n65468 98200\n26956 40593\n12436 18732\n68540 100000\n86897 100000\n9270 13946\n20675 31182\n62545 93811\n20097 30309\n47580 71443\n40444 60826\n67076 100000\n2732 4134\n96733 100000\n19301 29086\n42219 63469\n5713 8579\n57405 86115\n28234 42532\n485 740\n65820 98739\n4092 6143\n36402 54759\n47294 71014\n38056 57259\n33722 50736\n71198 100000\n84007 100000\n79833 100000\n64408 96596\n90663 100000\n26286 39592\n51689 77602\n48255 72465\n5797 8712\n60889 91340\n18320 27603\n64499 96732\n65504 98258\n21872 32972\n91225 100000\n7009 10522\n40268 60566\n66679 100000\n22019 33190\n54594 81907\n54021 81070\n63712 95555\n49161 73804\n16051 24191\n61849 92762\n49291 73999\n86041 100000\n69094 100000\n29 46\n50444 75731\n15697 23657\n13606 20496\n27847 41944\n38977 58628\n28052 42249\n16725 25204\n18045 27185\n5808 8729\n52768 79170\n91663 100000\n29018 43721\n95649 100000\n78922 100000\n62775 94154\n59634 89472\n69881 100000\n51285 76987\n26104 39320\n42692 64162\n5756 8652\n96722 100000\n16991 25613\n6525 9808\n14523 21895\n63757 95629\n19396 29236\n45059 67694\n68971 100000\n41100 61800\n6795 10211\n31111 46858\n34711 52206\n9327 14034\n18159 27357\n33696 50700\n90326 100000\n10985 16527\n17670 26621\n71443 100000\n91785 100000\n15219 22930\n43444 65298\n44911 67474\n52056 78134\n60665 91005\n10469 15756\n78898 100000\n280 428\n35878 53965\n96030 100000\n79981 100000\n10646 16015\n18785 28296\n92135 100000\n17164 25884\n22375 33735\n32755 49312\n84214 100000\n36704 55228\n40343 60675\n23121 34848\n78903 100000\n73043 100000\n6584 9893\n28834 43455\n81609 100000\n30755 46325\n64559 96828\n3765 5668\n4296 6456\n68085 100000\n74322 100000\n64626 96927\n53724 80611\n46705 70138\n3746 5642\n37409 56285\n18646 28092\n84553 100000\n98055 100000\n81585 100000\n36493 54900\n60784 91188\n23178 34935\n93257 100000\n42165 63386\n41582 62508\n65950 98942\n43966 66074\n6286 9447\n53502 80271\n96450 100000\n8927 13431\n73189 100000\n8611 12959\n83977 100000\n96935 100000\n66097 99164\n69222 100000\n76145 100000\n22359 33710\n62537 93801\n56769 85154\n9531 14349\n3054 4614\n54087 81163\n77485 100000\n48954 73492\n62284 93428\n92457 100000\n65295 97932\n12975 19534\n90010 100000\n69774 100000\n19817 29876\n11634 17531\n66802 100000\n25672 38670\n12952 19497\n71329 100000\n45200 67903\n43660 65619\n58939 88428\n8650 13020\n17426 26269\n12856 19354\n90681 100000\n45969 69057\n19099 28771\n95719 100000\n61761 92629\n68777 100000\n11090 16688\n11020 16582\n55451 83182\n20745 31281\n10021 15089\n82016 100000\n1565 2386\n69717 100000\n13542 20401\n56190 84277\n75793 100000\n54800 82220\n20052 30240\n76889 100000\n17979 27091\n37399 56270\n93880 100000\n97919 100000\n87822 100000\n12399 18677\n65516 98276\n64514 96756\n65891 98851\n25648 38636\n75401 100000\n10785 16232\n77658 100000\n79077 100000\n9098 13686\n9639 14512\n13557 20426\n29353 44223\n88143 100000\n20174 30424\n58654 87998\n80825 100000\n63521 95271\n6550 9845\n61044 91564\n53764 80671\n86246 100000\n17509 26387\n90846 100000\n97001 100000\n90317 100000\n80657 100000\n69143 100000\n6156 9254\n45116 67779\n32955 49609\n97933 100000\n10662 16040\n62380 93573\n34454 51828\n19622 29579\n72713 100000\n1800 2741\n7814 11744\n52551 78854\n25861 38958\n76845 100000\n61818 92714\n16579 24987\n40824 61389\n91470 100000\n6679 10039\n36603 55066\n26945 40575\n17877 26942\n91209 100000\n94589 100000\n3540 5345\n30359 45729\n10153 15288\n60860 91299\n9024 13579\n29927 45080\n57652 86488\n54588 81899\n57330 85993\n37403 56275\n38149 57395\n79344 100000\n87852 100000\n31138 46899\n66831 100000\n8254 12412\n29938 45095\n71904 100000\n525 803\n43800 65832\n88555 100000\n83015 100000\n53828 80769\n82898 100000\n97477 100000\n66764 100000\n40585 61037\n89857 100000\n74504 100000\n55324 82999\n44087 66247\n4191 6294\n48246 72452\n87120 100000\n35174 52916\n42630 64074\n13728 20680\n98630 100000\n40616 61081\n18931 28512\n80678 100000\n78662 100000\n97028 100000\n56807 85207\n16178 24386\n83759 100000\n44918 67483\n68363 100000\n83447 100000\n11626 17518\n15303 23057\n15992 24098\n75204 100000\n66274 99439\n38858 58443\n83596 100000\n84803 100000\n15817 23847\n47467 71269\n75025 100000\n8061 12122\n84975 100000\n77661 100000\n29088 43824\n25663 38655\n31174 46954\n45452 68278\n63801 95698\n53256 79898\n9736 14661\n84136 100000\n39971 60128\n52634 78976\n73473 100000\n74790 100000\n47396 71168\n69766 100000\n22343 33689\n70642 100000\n17983 27096\n60358 90552\n49176 73827\n77993 100000\n52858 79305\n95456 100000\n87280 100000\n1446 2212\n73544 100000\n58824 88258\n47657 71558\n1487 2278\n12064 18178\n5748 8640\n33918 51026\n18600 28022\n75824 100000\n11042 16612\n45206 67913\n25496 38419\n94226 100000\n94044 100000\n67926 100000\n76823 100000\n56499 84751\n49915 74918\n99940 100000\n87763 100000\n34397 51740\n39672 59677\n46905 70436\n79604 100000\n37122 55857\n64982 97467\n39573 59525\n82368 100000\n33620 50581\n46788 70263\n8429 12677\n60011 90041\n96603 100000\n88921 100000\n89091 100000\n59867 89825\n72438 100000\n12287 18507\n30443 45857\n51108 76721\n14223 21438\n10614 15967\n91219 100000\n25948 39083\n58755 88155\n86976 100000\n50475 75776\n18112 27290\n85361 100000\n95974 100000\n93632 100000\n68030 100000\n50834 76312\n96322 100000\n49452 74242\n22847 34443\n1300 1979\n32925 49569\n97093 100000\n85237 100000\n44376 66667\n61489 92215\n77726 100000\n16642 25083\n26076 39274\n32384 48765\n56056 84092\n87301 100000\n1427 2186\n82786 100000\n32835 49428\n1249 1903\n45038 67663\n86731 100000\n71014 100000\n36760 55316\n93549 100000\n12759 19222\n16338 24630\n67467 100000\n41230 61996\n94613 100000\n63371 95049\n81513 100000\n57222 85822\n58780 88194\n69688 100000\n49908 74907\n27777 41839\n11338 17075\n38553 57994\n20722 31250\n66582 99900\n4392 6595\n38098 57321\n416 641\n77602 100000\n13619 20515\n14312 21569\n75065 100000\n88421 100000\n10683 16075\n37143 55889\n61258 91885\n26774 40326\n73855 100000\n79016 100000\n5132 7705\n81248 100000\n2061 3133\n26179 39429\n69580 100000\n4235 6358\n68147 100000\n89840 100000\n34161 51379\n58429 87664\n72749 100000\n10587 15926\n30404 45796\n6512 9789\n63346 95007\n43667 65629\n595 913\n62323 93487\n45157 67838\n82446 100000\n37474 56384\n17075 25743\n21234 31997\n64700 97042\n98000 100000\n74055 100000\n59364 89081\n71942 100000\n81656 100000\n9593 14447\n10085 15184\n59320 89009\n96875 100000\n90260 100000\n74729 100000\n41717 62714\n50424 75702\n88136 100000\n57590 86396\n60685 91036\n87312 100000\n35520 53425\n15799 23820\n98984 100000\n46845 70348\n63425 95129\n76951 100000\n66291 99465\n97338 100000\n65364 98043\n97864 100000\n38599 58066\n36419 54786\n86412 100000\n85187 100000\n76977 100000\n30666 46190\n7261 10903\n12929 19462\n76059 100000\n3599 5428\n91544 100000\n88769 100000\n53163 79766\n7224 10847\n97276 100000\n79828 100000\n94489 100000\n4103 6160\n28276 42598\n23266 35068\n74409 100000\n44207 66421\n78226 100000\n33359 50200\n26168 39414\n6681 10041\n6859 10301\n92701 100000\n11753 17717\n37969 57134\n55312 82980\n56692 85044\n65480 98218\n52313 78512\n8605 12951\n87642 100000\n75520 100000\n13899 20941\n92769 100000\n70920 100000\n23834 35928\n78726 100000\n25032 37724\n78239 100000\n66765 100000\n75407 100000\n78331 100000\n72683 100000\n36173 54404\n55127 82701\n33974 51111\n98334 100000\n71598 100000\n12172 18333\n58096 87156\n10584 15922\n38836 58410\n29556 44514\n57029 85531\n22726 34263\n53355 80046\n39647 59639\n25292 38107\n49926 74932\n7223 10846\n17339 26143\n50638 76015\n19646 29616\n18179 27387\n61357 92025\n95199 100000\n3919 5889\n51169 76823\n70231 100000\n47433 71221\n42266 63533\n99317 100000\n26675 40170\n72986 100000\n75122 100000\n64954 97429\n44270 66509\n64198 96294\n38782 58336\n39985 60148\n86252 100000\n46517 69868\n85576 100000\n53113 79695\n53972 80994\n43781 65802\n94883 100000\n6109 9184\n73090 100000\n75415 100000\n91693 100000\n53558 80355\n3705 5580\n17944 27039\n20627 31107\n645 988\n6594 9907\n98323 100000\n14440 21774\n71363 100000\n77593 100000\n73600 100000\n60320 90494\n62101 93137\n74893 100000\n86411 100000\n40835 61403\n91658 100000\n29068 43797\n40966 61598\n84757 100000\n84369 100000\n37576 56533\n22986 34654\n78484 100000\n11780 17752\n46854 70362\n79665 100000\n67122 100000\n31830 47940\n13528 20380\n98387 100000\n67762 100000\n37069 55772\n69669 100000\n574 878\n23758 35813\n80370 100000\n96023 100000\n228 350\n33551 50476\n90110 100000\n58510 87785\n36140 54355\n57738 86616\n24483 36920\n8343 12544\n96077 100000\n77169 100000\n50419 75696\n68864 100000\n80926 100000\n49217 73893\n54766 82171\n96721 100000\n51998 78053\n57705 86569\n70036 100000\n24372 36754\n84454 100000\n86363 100000\n7745 11639\n15826 23860\n21790 32851\n4922 7397\n19735 29754\n29448 44353\n79170 100000\n70437 100000\n21137 31857\n85916 100000\n20973 31617\n20031 30207\n40604 61065\n34128 51334\n54492 81757\n21880 32981\n7217 10837\n85382 100000\n40712 61224\n36053 54224\n29283 44119\n41833 62889\n93208 100000\n70514 100000\n68133 100000\n56033 84063\n30933 46596\n35155 52885\n55511 83275\n4815 7237\n99304 100000\n37005 55683\n65232 97837\n19281 29050\n88990 100000\n2921 4417\n39633 59619\n34093 51289\n23586 35561\n29573 44542\n89072 100000\n12643 19050\n39501 59413\n37257 56051\n60735 91111\n34962 52591\n56477 84716\n59532 89316\n18790 28305\n90210 100000\n4277 6422\n49904 74902\n3754 5655\n75871 100000\n84167 100000\n57536 86311\n49938 74952\n12663 19080\n42783 64298\n93202 100000\n4859 7301\n27972 42130\n43384 65211\n1992 3029\n2383 3605\n10420 15683\n41483 62363\n34189 51419\n39206 58972\n10562 15892\n86992 100000\n15446 23266\n25652 38641\n3950 5936\n10824 16290\n36950 55602\n11813 17801\n59578 89389\n67722 100000\n92508 100000\n28555 43026\n26916 40536\n32120 48361\n83958 100000\n74072 100000\n32175 48447\n77387 100000\n75956 100000\n62573 93856\n30325 45677\n86384 100000\n55772 83667\n83808 100000\n23774 35836\n9228 13877\n98061 100000\n51095 76701\n3818 5749\n60099 90167\n6651 9997\n78214 100000\n12251 18452\n14366 21648\n70196 100000\n12072 18189\n92713 100000\n39891 60010\n44707 67160\n46172 69360\n96199 100000\n19776 29817\n46439 69752\n8570 12893\n59418 89154\n38164 57419\n53501 80270\n73051 100000\n33085 49799\n16232 24471\n72664 100000\n38376 57740\n78846 100000\n1495 2289\n68658 100000\n60877 91323\n55178 82775\n88750 100000\n18585 28001\n87168 100000\n21817 32890\n25499 38425\n22180 33443\n73355 100000\n95475 100000\n67877 100000\n48131 72280\n38735 58266\n50492 75799\n63514 95259\n87213 100000\n80134 100000\n36086 54275\n85575 100000\n40675 61169\n31309 47143\n71586 100000\n75618 100000\n107 160\n31299 47130\n65901 98867\n83122 100000\n43907 65987\n97719 100000\n60713 91078\n14210 21418\n46173 69361\n17152 25866\n83831 100000\n78049 100000\n8003 12032\n3430 5183\n9504 14306\n48789 73255\n51049 76636\n73405 100000\n84614 100000\n81067 100000\n92394 100000\n27595 41561\n30926 46587\n81612 100000\n16159 24354\n10744 16174\n19134 28820\n80090 100000\n50966 76511\n86592 100000\n49643 74519\n77629 100000\n41648 62612\n99148 100000\n17725 26708\n13696 20632\n23837 35933\n28856 43489\n20047 30235\n35427 53289\n30456 45877\n93932 100000\n84148 100000\n43603 65532\n72878 100000\n87396 100000\n71243 100000\n38315 57646\n12080 18200\n60372 90570\n33834 50905\n85117 100000\n42125 63328\n4946 7428\n43918 66004\n44033 66167\n80938 100000\n82591 100000\n69244 100000\n87458 100000\n47334 71077\n29184 43969\n34143 51354\n54590 81902\n92311 100000\n6751 10149\n64793 97188\n77885 100000\n18631 28069\n57621 86442\n95478 100000\n82492 100000\n95506 100000\n57617 86436\n64450 96655\n67614 100000\n72140 100000\n5159 7743\n13568 20442\n84759 100000\n57718 86586\n81504 100000\n88704 100000\n2354 3567\n51295 77002\n81374 100000\n45078 67721\n96828 100000\n1201 1833\n35109 52811\n56284 84418\n29134 43892\n7250 10886\n60403 90616\n64118 96180\n5781 8689\n61494 92222\n384 591\n88112 100000\n35120 52827\n54130 81226\n8435 12684\n94929 100000\n79087 100000\n83762 100000\n32417 48817\n43273 65039\n25106 37833\n4891 7352\n76334 100000\n2978 4501\n72525 100000\n77841 100000\n9201 13836\n94030 100000\n98022 100000\n26981 40631\n11983 18056\n97401 100000\n76082 100000\n20233 30512\n90177 100000\n6375 9578\n28224 42517\n8226 12372\n42411 63746\n87078 100000\n47750 71699\n60817 91238\n79694 100000\n66136 99226\n12990 19557\n44772 67258\n10424 15688\n61876 92802\n53628 80459\n29845 44952\n74249 100000\n86668 100000\n65570 98358\n25755 38797\n92983 100000\n71776 100000\n24939 37580\n91202 100000\n67600 100000\n77116 100000\n9049 13618\n98514 100000\n34835 52395\n99937 100000\n99323 100000\n2995 4526\n89935 100000\n57427 86146\n44265 66503\n12468 18783\n63287 94920\n93959 100000\n27337 41171\n18528 27914\n63859 95780\n22914 34545\n58906 88376\n15759 23754\n35270 53057\n97465 100000\n11596 17476\n78252 100000\n33931 51045\n33065 49770\n95639 100000\n84605 100000\n41064 61750\n17548 26445\n16876 25441\n37496 56418\n40197 60456\n37166 55922\n29913 45057\n99566 100000\n61871 92795\n77849 100000\n37994 57168\n11319 17044\n95529 100000\n70676 100000\n60825 91250\n83909 100000\n33127 49858\n68205 100000\n55676 83520\n76773 100000\n71632 100000\n39876 59984\n80996 100000\n4697 7053\n82330 100000\n32549 49015\n12999 19571\n35014 52669\n59781 89694\n85823 100000\n63348 95010\n52685 79048\n32046 48256\n19418 29270\n13860 20880\n96833 100000\n82606 100000\n62613 93917\n18398 27708\n6797 10213\n65360 98035\n81340 100000\n1671 2544\n14569 21960\n20809 31377\n91353 100000\n4170 6259\n57486 86233\n21518 32427\n44736 67205\n8326 12520\n60253 90396\n83878 100000\n57325 85984\n2038 3099\n34702 52193\n64152 96226\n24610 37094\n14817 22334\n21480 32369\n32064 48279\n66457 99713\n26528 39949\n31787 47874\n48079 72200\n79222 100000\n3393 5128\n62491 93736\n94126 100000\n37625 56608\n98993 100000\n86461 100000\n3173 4799\n11366 17121\n54721 82099\n54079 81152\n42983 64604\n41187 61929\n66893 100000\n51395 77151\n84433 100000\n52335 78541\n22115 33342\n50968 76513\n36594 55051\n14133 21302\n30067 45295\n57542 86319\n75532 100000\n42079 63256\n99069 100000\n32153 48413\n24347 36716\n78346 100000\n98945 100000\n81559 100000\n83432 100000\n39414 59284\n82074 100000\n74712 100000\n71897 100000\n24127 36375\n7544 11337\n22772 34332\n85550 100000\n91094 100000\n43775 65794\n71976 100000\n45355 68135\n84298 100000\n74585 100000\n66834 100000\n8747 13162\n61014 91522\n94785 100000\n78353 100000\n22372 33731\n48453 72750\n14316 21576\n24455 36875\n22138 33380\n30857 46478\n10741 16168\n98111 100000\n33791 50843\n25186 37951\n4046 6075\n23715 35755\n44448 66771\n13075 19690\n28214 42503\n97138 100000\n94598 100000\n20580 31040\n24841 37433\n19977 30130\n9419 14173\n35825 53886\n13141 19788\n6867 10313\n78158 100000\n14576 21971\n23972 36137\n17090 25764\n53672 80529\n8929 13434\n66003 99019\n73576 100000\n94360 100000\n77049 100000\n97999 100000\n16837 25380\n37515 56446\n15321 23083\n49739 74661\n95971 100000\n96909 100000\n2609 3948\n43601 65530\n76296 100000\n69136 100000\n13163 19823\n53875 80843\n15188 22883\n63951 95916\n79952 100000\n28066 42271\n49878 74868\n34471 51849\n84115 100000\n43725 65718\n29885 45017\n65888 98845\n84619 100000\n32704 49239\n3863 5809\n58378 87579\n9924 14944\n83976 100000\n95842 100000\n5064 7607\n87313 100000\n18098 27269\n7854 11806\n72606 100000\n87995 100000\n70186 100000\n82227 100000\n39973 60131\n22139 33382\n59902 89880\n15526 23395\n30852 46469\n79240 100000\n17272 26044\n36982 55648\n86643 100000\n72930 100000\n55395 83095\n5169 7758\n40090 60300\n10581 15917\n39604 59573\n28450 42865\n57063 85581\n99960 100000\n52622 78962\n2281 3453\n68499 100000\n76237 100000\n60592 90899\n2833 4281\n11433 17224\n13758 20728\n72040 100000\n52552 78856\n94838 100000\n37589 56552\n55583 83384\n36539 54970\n60935 91408\n89479 100000\n94688 100000\n20530 30963\n55275 82921\n46530 69884\n56872 85305\n92793 100000\n57198 85782\n22124 33356\n44451 66776\n48343 72591\n37356 56202\n64719 97072\n68105 100000\n45603 68512\n76806 100000\n72629 100000\n30238 45547\n17341 26145\n27881 41994\n23189 34952\n44474 66810\n52864 79314\n94245 100000\n51105 76717\n57997 87008\n83296 100000\n6770 10175\n54290 81465\n17316 26108\n83084 100000\n27752 41800\n46805 70288\n30908 46557\n27182 40933\n40403 60764\n79451 100000\n8244 12398\n63279 94908\n63023 94526\n42885 64452\n26215 39484\n82939 100000\n17098 25779\n87234 100000\n81369 100000\n61889 92824\n62348 93522\n63243 94853\n1746 2656\n78481 100000\n40943 61563\n73406 100000\n45362 68145\n23550 35510\n2595 3927\n97817 100000\n18219 27449\n64024 96033\n41996 63141\n54187 81317\n39487 59396\n13116 19753\n44236 66462\n72842 100000\n158 238\n95607 100000\n66839 100000\n36233 54494\n4249 6379\n89891 100000\n96423 100000\n1451 2220\n7832 11771\n56561 84848\n72126 100000\n91529 100000\n86444 100000\n63900 95841\n89261 100000\n8546 12856\n65954 98947\n64440 96642\n28460 42879\n42523 63913\n17660 26606\n8597 12939\n32197 48480\n74735 100000\n44691 67135\n79050 100000\n17288 26068\n99817 100000\n55506 83266\n71152 100000\n94954 100000\n83757 100000\n93268 100000\n3505 5298\n50528 75850\n16454 24795\n78340 100000\n94707 100000\n58985 88499\n79729 100000\n84162 100000\n13336 20080\n5413 8127\n23893 36017\n46101 69258\n35828 53892\n2424 3662\n21216 31972\n33183 49940\n3666 5526\n6168 9271\n9743 14670\n53397 80112\n91036 100000\n25825 38905\n3814 5742\n95972 100000\n78535 100000\n98131 100000\n59164 88767\n35181 52928\n94060 100000\n71867 100000\n61099 91644\n85057 100000\n75897 100000\n27312 41130\n65111 97661\n98823 100000\n79314 100000\n23354 35212\n716 1102\n54112 81202\n33734 50753\n86692 100000\n23238 35026\n51806 77772\n6801 10219\n46437 69749\n44861 67396\n29252 44070\n20698 31215\n50837 76316\n72030 100000\n69192 100000\n21384 32227\n12391 18666\n77817 100000\n1018 1552\n72510 100000\n46182 69373\n92145 100000\n34939 52558\n67484 100000\n21369 32204\n66431 99678\n59748 89645\n38518 57940\n40590 61045\n68311 100000\n49238 73924\n80167 100000\n69168 100000\n19521 29424\n11652 17557\n11200 16857\n24574 37042\n284 435\n6908 10376\n78218 100000\n32651 49157\n1510 2308\n58117 87187\n55456 83190\n5987 9000\n95620 100000\n83761 100000\n98887 100000\n54167 81285\n68156 100000\n85399 100000\n91683 100000\n60855 91292\n55818 83736\n55949 83937\n83168 100000\n55959 83952\n99736 100000\n82425 100000\n71141 100000\n69682 100000\n23213 34988\n67404 100000\n75674 100000\n71403 100000\n21776 32831\n75120 100000\n48618 72987\n41796 62834\n63057 94575\n29873 44998\n33714 50726\n20482 30891\n39922 60056\n40277 60579\n85250 100000\n30159 45433\n73162 100000\n84340 100000\n15793 23809\n64469 96684\n32597 49080\n57501 86254\n89326 100000\n92476 100000\n22705 34233\n91796 100000\n38327 57666\n16319 24601\n61824 92722\n24412 36814\n82119 100000\n59509 89284\n25090 37811\n34393 51733\n25684 38687\n51561 77405\n68452 100000\n50767 76212\n16775 25283\n6424 9652\n10147 15281\n16136 24319\n56409 84614\n6632 9966\n3651 5501\n15806 23830\n27912 42041\n77373 100000\n91967 100000\n55187 82789\n39862 59961\n72609 100000\n18329 27616\n15965 24059\n21232 31994\n6970 10463\n11862 17876\n57777 86673\n48496 72815\n52585 78909\n64896 97344\n28586 43073\n49235 73920\n89602 100000\n9720 14637\n56671 85008\n96604 100000\n57773 86667\n17905 26984\n74697 100000\n63525 95276\n16815 25348\n61393 92076\n31567 47545\n93086 100000\n86433 100000\n49890 74885\n1027 1567\n1028 1568\n17037 25683\n17938 27031\n15095 22746\n60276 90431\n37099 55819\n43402 65239\n66881 100000\n31434 47336\n7158 10746\n93121 100000\n23154 34895\n96224 100000\n89035 100000\n35817 53875\n76434 100000\n95083 100000\n64807 97205\n92780 100000\n96212 100000\n62838 94246\n12159 18315\n45133 67801\n4647 6981\n55072 82618\n34433 51793\n75304 100000\n2835 4285\n42493 63862\n10942 16462\n65464 98193\n32395 48782\n12560 18920\n3536 5340\n61164 91744\n19864 29953\n67150 100000\n32649 49155\n38169 57427\n88511 100000\n94896 100000\n41301 62099\n24945 37589\n51661 77557\n55919 83897\n57317 85970\n77548 100000\n40489 60892\n28394 42774\n33780 50827\n44791 67284\n96545 100000\n68548 100000\n82242 100000\n10638 16004\n91577 100000\n71241 100000\n42626 64068\n91068 100000\n18403 27716\n28075 42287\n71756 100000\n16601 25023\n57201 85788\n26782 40337\n87045 100000\n62745 94109\n19442 29308\n37872 56981\n97324 100000\n76898 100000\n29177 43957\n35635 53606\n22678 34195\n18347 27641\n4522 6803\n31196 46985\n86905 100000\n39230 59008\n28885 43526\n26077 39276\n56058 84094\n53792 80712\n34257 51519\n48439 72728\n96983 100000\n88516 100000\n31604 47606\n84628 100000\n65505 98260\n64933 97397\n87274 100000\n639 979\n46480 69815\n28738 43309\n80844 100000\n25488 38407\n54822 82253\n9164 13783\n22236 33525\n88118 100000\n20023 30195\n7957 11961\n22319 33650\n80923 100000\n34857 52429\n20283 30585\n50802 76267\n70460 100000\n47911 71946\n42774 64285\n19560 29484\n66086 99147\n93160 100000\n99900 100000\n30704 46249\n98348 100000\n32723 49268\n30581 46066\n6658 10007\n52246 78408\n10793 16243\n47624 71505\n63445 95157\n30970 46648\n73957 100000\n35450 53320\n66723 100000\n74690 100000\n87096 100000\n89102 100000\n6018 9048\n11532 17377\n99438 100000\n43038 64683\n74268 100000\n8026 12069\n92039 100000\n23967 36130\n89223 100000\n97423 100000\n39329 59157\n9944 14972\n36638 55125\n48369 72628\n88579 100000\n70062 100000\n76874 100000\n9397 14139\n14983 22582\n67833 100000\n533 816\n33955 51082\n98487 100000\n33491 50390\n15305 23061\n36657 55153\n36836 55427\n58677 88034\n81056 100000\n39270 59065\n75175 100000\n40466 60860\n29869 44990\n51296 77004\n37446 56344\n48816 73291\n11122 16737\n22157 33409\n24594 37071\n57514 86275\n29511 44447\n9528 14344\n25900 39013\n850 1307\n97842 100000\n71709 100000\n73707 100000\n45468 68300\n52376 78596\n21985 33138\n57811 86720\n48732 73169\n11430 17220\n18743 28233\n24020 36212\n1436 2200\n61878 92805\n83739 100000\n29603 44584\n486 742\n83154 100000\n55711 83576\n87216 100000\n1025 1563\n89605 100000\n13764 20739\n72202 100000\n73466 100000\n798 1230\n46274 69506\n31492 47426\n50176 75316\n79308 100000\n38451 57852\n33371 50217\n57712 86579\n41869 62946\n8201 12335\n44958 67543\n70104 100000\n31807 47902\n60635 90963\n70263 100000\n46414 69717\n38382 57750\n77478 100000\n61254 91878\n48074 72190\n82336 100000\n52120 78224\n53940 80944\n52104 78198\n28518 42962\n92695 100000\n52045 78121\n35603 53554\n97 146\n86639 100000\n462 709\n30168 45446\n93807 100000\n37657 56651\n92407 100000\n53303 79967\n38135 57374\n44081 66239\n77612 100000\n10578 15912\n46718 70155\n27171 40914\n81568 100000\n92914 100000\n6060 9115\n2621 3966\n25823 38902\n16336 24628\n35162 52895\n22098 33315\n31590 47583\n48813 73288\n75535 100000\n9789 14737\n24786 37354\n84251 100000\n46599 69989\n54071 81141\n4580 6885\n48688 73097\n32821 49408\n72368 100000\n80397 100000\n50228 75399\n84474 100000\n42526 63917\n89972 100000\n92229 100000\n46901 70431\n97224 100000\n73218 100000\n99482 100000\n71491 100000\n75339 100000\n30141 45405\n71951 100000\n30682 46215\n37490 56407\n91033 100000\n39680 59688\n25868 38969\n11541 17389\n96556 100000\n71112 100000\n64537 96793\n58404 87622\n77516 100000\n28723 43285\n83908 100000\n42161 63382\n94163 100000\n13889 20926\n70643 100000\n90434 100000\n25575 38535\n53220 79849\n27831 41918\n57597 86405\n32170 48441\n35055 52733\n16489 24849\n38092 57314\n51604 77472\n91692 100000\n17118 25809\n38133 57372\n70872 100000\n20730 31259\n44290 66540\n87636 100000\n30735 46295\n61388 92067\n24495 36938\n90709 100000\n91622 100000\n81195 100000\n46171 69358\n18553 27954\n38146 57390\n60306 90474\n20843 31428\n83646 100000\n64415 96605\n31311 47146\n44955 67540\n89251 100000\n3248 4908\n46411 69712\n87346 100000\n57602 86412\n3343 5055\n17847 26894\n54705 82077\n64898 97347\n47988 72062\n12439 18737\n58625 87953\n73778 100000\n50147 75273\n48617 72985\n32846 49449\n73320 100000\n17107 25792\n13883 20916\n82575 100000\n8977 13511\n7509 11282\n98019 100000\n68757 100000\n5004 7513\n89511 100000\n93225 100000\n46629 70035\n45502 68348\n45625 68549\n9436 14195\n80531 100000\n89151 100000\n53118 79700\n81456 100000\n60006 90033\n92689 100000\n23688 35714\n80724 100000\n95459 100000\n26653 40134\n23395 35279\n69161 100000\n84610 100000\n10451 15730\n57592 86399\n76506 100000\n94394 100000\n33386 50237\n1859 2832\n8716 13117\n58765 88173\n82185 100000\n61709 92548\n2077 3155\n97037 100000\n97725 100000\n61853 92768\n23066 34772\n23384 35259\n14918 22487\n5405 8115\n85466 100000\n76847 100000\n22032 33210\n48790 73256\n43344 65153\n70967 100000\n41360 62180\n81673 100000\n51477 77276\n22244 33536\n42505 63883\n21628 32603\n50788 76246\n17968 27072\n39713 59743\n28551 43019\n22677 34193\n53510 80283\n52476 78745\n69746 100000\n81688 100000\n58852 88298\n10144 15275\n97744 100000\n62941 94400\n36582 55034\n24692 37214\n91166 100000\n83833 100000\n4097 6149\n22218 33496\n73469 100000\n94154 100000\n52570 78884\n85880 100000\n23767 35825\n218 335\n16435 24768\n40398 60755\n38514 57936\n43998 66120\n91761 100000\n52486 78762\n71533 100000\n23464 35385\n96240 100000\n27811 41889\n43285 65060\n41623 62572\n65096 97639\n74706 100000\n57023 85523\n76100 100000\n203 311\n53469 80218\n42169 63391\n93497 100000\n2114 3206\n81645 100000\n70256 100000\n38804 58365\n38812 58377\n30671 46197\n47838 71836\n28728 43293\n92626 100000\n62999 94490\n16499 24864\n74298 100000\n97723 100000\n87683 100000\n1681 2557\n90845 100000\n50947 76484\n92232 100000\n72895 100000\n52615 78952\n53347 80032\n21245 32012\n94265 100000\n48024 72115\n50558 75896\n22292 33611\n57094 85627\n63886 95822\n67463 100000\n77703 100000\n69932 100000\n94471 100000\n5814 8736\n35494 53388\n22890 34509\n59842 89786\n34181 51407\n9122 13721\n54556 81850\n60751 91136\n26339 39670\n74074 100000\n92667 100000\n54681 82040\n34055 51236\n66326 99521\n35476 53361\n21610 32576\n71736 100000\n27981 42144\n3535 5339\n93712 100000\n46363 69639\n14301 21557\n25409 38283\n96126 100000\n85143 100000\n62045 93055\n53904 80887\n93123 100000\n86378 100000\n48244 72448\n94426 100000\n42925 64511\n5441 8170\n3990 5991\n14364 21645\n49268 73968\n54061 81125\n81608 100000\n90171 100000\n64337 96493\n58828 88265\n73341 100000\n36525 54947\n85134 100000\n29671 44684\n90942 100000\n30342 45702\n89653 100000\n31849 47968\n13793 20777\n89718 100000\n21882 32985\n46252 69474\n57578 86379\n53214 79839\n10210 15367\n35549 53470\n28972 43653\n75002 100000\n50967 76512\n14262 21498\n13031 19619\n4840 7270\n14799 22306\n37389 56255\n67760 100000\n74453 100000\n77222 100000\n32952 49604\n39168 58919\n62338 93507\n55473 83216\n12380 18649\n91041 100000\n66123 99205\n37245 56032\n7810 11737\n77836 100000\n17846 26892\n97612 100000\n43192 64918\n88739 100000\n93675 100000\n93954 100000\n6226 9358\n81883 100000\n30804 46403\n97832 100000\n30875 46509\n30182 45464\n16666 25115\n53321 79991\n27681 41693\n8128 12225\n6530 9814\n19986 30141\n88286 100000\n53414 80136\n60907 91367\n16505 24874\n4535 6822\n42844 64389\n10956 16486\n43662 65621\n85819 100000\n74367 100000\n17603 26526\n86751 100000\n75808 100000\n33206 49976\n27719 41747\n40031 60217\n64675 97000\n56150 84224\n30360 45730\n42846 64393\n84283 100000\n83526 100000\n84864 100000\n34082 51272\n11855 17865\n88689 100000\n2422 3658\n83577 100000\n63390 95079\n84187 100000\n96941 100000\n46526 69880\n32071 48290\n59236 88878\n3028 4575\n74317 100000\n38085 57303\n14990 22592\n14927 22503\n21398 32244\n27040 40720\n4021 6039\n13086 19707\n21630 32606\n93527 100000\n19500 29394\n32645 49149\n28167 42427\n3547 5356\n24421 36830\n28667 43198\n70011 100000\n26007 39169\n12119 18252\n84853 100000\n3867 5814\n60270 90421\n69375 100000\n45309 68066\n30680 46212\n46557 69929\n47293 71012\n45827 68846\n27792 41864\n42970 64584\n55047 82579\n76015 100000\n9990 15040\n87874 100000\n40615 61080\n24558 37023\n71088 100000\n89465 100000\n65194 97784\n84685 100000\n16071 24221\n62691 94030\n5710 8575\n89180 100000\n57661 86502\n95612 100000\n52412 78654\n86038 100000\n10370 15610\n50335 75565\n22540 33979\n27744 41785\n36460 54848\n56052 84087\n97161 100000\n18661 28115\n25379 38236\n20218 30492\n28911 43565\n11659 17568\n88834 100000\n74386 100000\n40088 60298\n22923 34558\n10359 15591\n45930 68998\n94638 100000\n77953 100000\n37508 56436\n72663 100000\n45853 68883\n83729 100000\n99251 100000\n76497 100000\n46650 70065\n65940 98927\n33540 50462\n81431 100000\n63318 94967\n93440 100000\n65994 99007\n22693 34215\n27966 42123\n25360 38209\n33333 50165\n77935 100000\n915 1401\n92144 100000\n564 863\n96422 100000\n58702 88072\n13647 20557\n25775 38828\n81582 100000\n65494 98240\n35313 53115\n98030 100000\n34234 51489\n75907 100000\n61309 91955\n65148 97714\n16453 24794\n88113 100000\n89723 100000\n27443 41332\n97569 100000\n62447 93673\n94808 100000\n951 1454\n19531 29437\n46984 70555\n94514 100000\n61423 92122\n84243 100000\n78507 100000\n68087 100000\n38 60\n89624 100000\n49180 73832\n4881 7334\n72630 100000\n53784 80701\n25862 38960\n93124 100000\n92051 100000\n58468 87721\n62539 93803\n59353 89065\n6976 10472\n16845 25392\n35922 54029\n53720 80604\n65939 98925\n52366 78583\n82505 100000\n51917 77936\n20461 30855\n81460 100000\n73757 100000\n24746 37297\n93056 100000\n71770 100000\n90707 100000\n68181 100000\n60052 90099\n41390 62224\n32205 48493\n81886 100000\n81231 100000\n39370 59220\n18667 28125\n53167 79772\n29730 44779\n74432 100000\n95740 100000\n32200 48485\n20591 31055\n46148 69325\n67137 100000\n53400 80116\n34461 51837\n99295 100000\n26053 39241\n36211 54460\n57772 86665\n80181 100000\n71738 100000\n13746 20710\n20799 31362\n53346 80030\n92809 100000\n57083 85611\n67657 100000\n84363 100000\n34644 52102\n95874 100000\n50319 75537\n7633 11472\n22125 33357\n56732 85101\n93750 100000\n44322 66585\n87966 100000\n93703 100000\n75209 100000\n91899 100000\n5497 8250\n18261 27510\n43971 66081\n41337 62150\n69698 100000\n53160 79761\n45199 67901\n48456 72756\n19259 29015\n62090 93123\n2714 4107\n20601 31070\n82736 100000\n82803 100000\n59401 89133\n16156 24349\n98024 100000\n35038 52706\n78072 100000\n52482 78756\n21993 33149\n59729 89616\n94085 100000\n6923 10399\n94329 100000\n815 1254\n58635 87967\n80165 100000\n8238 12387\n11361 17113\n96865 100000\n34954 52580\n41665 62639\n32713 49253\n36815 55398\n63568 95337\n76084 100000\n33922 51033\n47574 71433\n88218 100000\n36574 55021\n40838 61407\n39451 59340\n10473 15761\n84246 100000\n17907 26987\n59291 88960\n93381 100000\n91618 100000\n52415 78657\n61459 92169\n50894 76403\n42548 63954\n21280 32066\n66584 99903\n80591 100000\n90680 100000\n27932 42073\n68358 100000\n57852 86782\n8152 12261\n99297 100000\n43832 65880\n24064 36281\n90292 100000\n35063 52743\n49056 73643\n16731 25213\n57638 86469\n44693 67139\n76640 100000\n35538 53453\n13955 21036\n93964 100000\n17397 26226\n84205 100000\n22129 33365\n49804 74760\n84351 100000\n56025 84051\n51162 76814\n24998 37671\n10071 15165\n51575 77425\n55845 83780\n1661 2530\n60823 91246\n86382 100000\n97702 100000\n14897 22455\n35152 52880\n76746 100000\n15101 22756\n35057 52736\n90256 100000\n72522 100000\n51622 77501\n736 1132\n50255 75439\n18990 28600\n62077 93103\n95651 100000\n56412 84618\n89659 100000\n54831 82264\n44741 67211\n49092 73696\n62671 93999\n16121 24294\n26827 40400\n66666 100000\n68220 100000\n10931 16446\n83085 100000\n51122 76746\n2604 3939\n13532 20386\n39387 59245\n20975 31620\n36098 54291\n74226 100000\n6403 9620\n2156 3269\n30465 45892\n10110 15222\n93340 100000\n17726 26709\n48972 73519\n66062 99109\n62367 93552\n99980 100000\n82646 100000\n76564 100000\n55704 83565\n52873 79330\n54479 81735\n26473 39868\n59311 88994\n11633 17529\n54706 82078\n42717 64202\n14314 21572\n51372 77117\n54240 81392\n50043 75110\n52206 78345\n89303 100000\n31285 47109\n33564 50495\n2622 3968\n60350 90539\n19058 28705\n74924 100000\n22242 33533\n85501 100000\n7974 11987\n56777 85166\n90125 100000\n65694 98542\n82576 100000\n30261 45582\n63039 94552\n9357 14077\n24740 37288\n65975 98977\n80984 100000\n64929 97391\n27485 41393\n42315 63600\n27217 40984\n96347 100000\n76394 100000\n13747 20711\n82723 100000\n35119 52825\n67608 100000\n4592 6901\n65309 97954\n87155 100000\n46166 69351\n793 1222\n9473 14253\n54547 81836\n96337 100000\n27463 41360\n59777 89688\n76110 100000\n30809 46410\n76323 100000\n90233 100000\n72055 100000\n11835 17834\n75475 100000\n99030 100000\n6567 9867\n59234 88874\n37061 55762\n94080 100000\n26013 39178\n19014 28639\n23282 35095\n93188 100000\n26259 39553\n93682 100000\n61661 92475\n89927 100000\n86832 100000\n58752 88150\n89757 100000\n73981 100000\n40610 61073\n71270 100000\n73659 100000\n9902 14910\n24323 36680\n10679 16069\n68125 100000\n60100 90168\n87934 100000\n22002 33163\n52019 78083\n79139 100000\n30686 46221\n59286 88951\n37008 55688\n8970 13500\n11725 17671\n43168 64879\n75914 100000\n991 1513\n38018 57203\n49703 74608\n60007 90035\n22465 33872\n94550 100000\n84149 100000\n98282 100000\n43141 64838\n78022 100000\n30858 46480\n6531 9815\n19206 28937\n38740 58274\n66866 100000\n51522 77342\n6835 10268\n44793 67287\n45522 68381\n89908 100000\n88217 100000\n92635 100000\n71399 100000\n66307 99490\n67182 100000\n95829 100000\n37360 56209\n15676 23626\n4418 6639\n34593 52029\n31069 46793\n99730 100000\n73678 100000\n22211 33487\n30253 45569\n98010 100000\n24315 36668\n27996 42166\n16046 24183\n15016 22629\n69121 100000\n18412 27728\n68753 100000\n80605 100000\n585 898\n77520 100000\n67630 100000\n5822 8748\n10886 16382\n70289 100000\n20408 30771\n72645 100000\n74027 100000\n23649 35655\n76776 100000\n23717 35757\n20281 30582\n3228 4879\n57837 86759\n80613 100000\n65761 98650\n930 1421\n351 539\n49826 74791\n82941 100000\n95614 100000\n65857 98795\n24252 36572\n42021 63173\n3709 5585\n96691 100000\n43806 65842\n19315 29109\n64133 96200\n68258 100000\n59736 89628\n30438 45849\n25726 38753\n28882 43522\n81821 100000\n69827 100000\n61165 91746\n5285 7935\n44657 67086\n62949 94415\n37385 56247\n23656 35667\n69172 100000\n47883 71898\n86202 100000\n11839 17840\n93194 100000\n71886 100000\n28646 43162\n10883 16378\n6451 9695\n13102 19733\n30925 46585\n93201 100000\n83240 100000\n68371 100000\n35135 52849\n7497 11265\n57544 86323\n67693 100000\n94106 100000\n6268 9423\n45224 67936\n65518 98279\n9402 14148\n68298 100000\n36329 54642\n78212 100000\n29070 43799\n45380 68168\n35561 53489\n56754 85130\n50019 75072\n26722 40244\n96718 100000\n54006 81046\n26344 39679\n69535 100000\n90884 100000\n81518 100000\n27092 40796\n95105 100000\n21495 32394\n45517 68374\n10168 15307\n95979 100000\n15753 23745\n88039 100000\n82733 100000\n68072 100000\n67335 100000\n95731 100000\n96096 100000\n49041 73623\n22750 34296\n47192 70860\n77246 100000\n93716 100000\n58237 87365\n19061 28708\n68823 100000\n70696 100000\n2187 3314\n74396 100000\n72719 100000\n52770 79174\n2649 4009\n5206 7810\n80548 100000\n81512 100000\n85168 100000\n62272 93412\n77600 100000\n43223 64964\n28089 42306\n40394 60749\n38992 58651\n92162 100000\n37337 56170\n94211 100000\n35607 53559\n53363 80058\n92377 100000\n18331 27619\n15528 23398\n16280 24542\n76113 100000\n1236 1884\n6358 9554\n21828 32907\n12792 19265\n43317 65111\n44397 66697\n79668 100000\n61470 92187\n1291 1967\n88288 100000\n65013 97515\n86443 100000\n43833 65881\n80219 100000\n34250 51509\n25028 37716\n75064 100000\n2443 3690\n72917 100000\n82257 100000\n23061 34765\n72418 100000\n34387 51725\n23984 36158\n66212 99342\n27200 40960\n10848 16326\n63099 94640\n54459 81707\n32584 49064\n67464 100000\n90538 100000\n52795 79214\n75460 100000\n68041 100000\n3191 4824\n92653 100000\n57719 86587\n37701 56722\n11190 16842\n56602 84908\n88108 100000\n16790 25308\n29403 44291\n21706 32726\n57677 86525\n23871 35983\n81310 100000\n45614 68531\n8410 12650\n87485 100000\n82463 100000\n66051 99092\n15960 24050\n96573 100000\n43524 65410\n81700 100000\n29445 44349\n28270 42587\n48381 72647\n88171 100000\n72381 100000\n31951 48115\n53768 80676\n51286 76989\n83530 100000\n68341 100000\n93028 100000\n88806 100000\n96525 100000\n21187 31925\n63329 94985\n89021 100000\n23615 35599\n62188 93282\n47734 71674\n88444 100000\n96555 100000\n89100 100000\n37635 56623\n97500 100000\n38003 57182\n96027 100000\n81923 100000\n40294 60604\n14637 22065\n73750 100000\n98971 100000\n37632 56618\n42561 63971\n57858 86793\n47533 71370\n90637 100000\n40865 61447\n14912 22480\n66573 99885\n76247 100000\n82481 100000\n1437 2201\n7355 11049\n41936 63049\n67584 100000\n54166 81284\n29260 44085\n8789 13228\n51715 77639\n45514 68369\n67593 100000\n32291 48623\n70180 100000\n72837 100000\n13394 20171\n37679 56687\n72584 100000\n62581 93866\n97422 100000\n1597 2435\n17011 25644\n52047 78124\n87389 100000\n98777 100000\n60740 91120\n91619 100000\n66777 100000\n987 1508\n5487 8234\n18555 27958\n87121 100000\n70477 100000\n35157 52888\n64382 96552\n53229 79862\n56831 85243\n94398 100000\n785 1210\n7849 11798\n37585 56545\n38147 57392\n83945 100000\n43157 64861\n22998 34671\n95457 100000\n57933 86907\n51248 76931\n71455 100000\n23945 36096\n14871 22419\n66880 100000\n74510 100000\n25367 38220\n27130 40849\n40772 61313\n68883 100000\n54362 81564\n14097 21248\n72464 100000\n79272 100000\n33811 50872\n14296 21551\n70691 100000\n13996 21099\n13687 20617\n21262 32040\n95060 100000\n97750 100000\n27447 41337\n92572 100000\n48823 73301\n81740 100000\n55263 82902\n25533 38472\n25941 39073\n58558 87854\n3188 4820\n51206 76874\n74793 100000\n70726 100000\n65724 98592\n82268 100000\n11279 16982\n71505 100000\n34170 51390\n66604 99933\n6006 9027\n24107 36346\n73118 100000\n11184 16832\n16848 25395\n92812 100000\n40189 60445\n31772 47852\n36659 55157\n16088 24246\n18924 28499\n7895 11864\n44814 67321\n7069 10615\n36067 54249\n48436 72722\n18148 27340\n27946 42092\n1299 1978\n7762 11665\n52213 78357\n66685 100000\n8441 12692\n36686 55200\n69636 100000\n6404 9622\n76835 100000\n76151 100000\n67034 100000\n68772 100000\n27166 40907\n4959 7447\n36809 55388\n74167 100000\n46785 70257\n60741 91122\n997 1523\n83377 100000\n38671 58174\n7598 11417\n84591 100000\n3003 4539\n63094 94634\n72097 100000\n25513 38446\n78487 100000\n72459 100000\n63902 95844\n82437 100000\n2823 4268\n90339 100000\n80680 100000\n29333 44196\n50634 76010\n80730 100000\n68504 100000\n13033 19622\n72947 100000\n55138 82716\n80410 100000\n37092 55808\n30319 45669\n11369 17126\n48559 72902\n58628 87957\n63453 95169\n75455 100000\n55095 82651\n91312 100000\n64718 97071\n80578 100000\n79507 100000\n87704 100000\n5163 7750\n74078 100000\n60658 90995\n94013 100000\n21299 32097\n68752 100000\n57910 86871\n48994 73552\n1941 2954\n96029 100000\n67732 100000\n62909 94352\n10549 15870\n12977 19536\n71036 100000\n59881 89848\n78605 100000\n92985 100000\n68354 100000\n5572 8365\n39235 59015\n191 293\n14695 22155\n39490 59400\n61812 92704\n95213 100000\n84735 100000\n49984 75021\n39923 60057\n73995 100000\n42818 64351\n6499 9770\n47372 71132\n79984 100000\n78683 100000\n45341 68114\n47551 71398\n14321 21583\n89916 100000\n57807 86715\n12876 19383\n84935 100000\n55509 83271\n21832 32911\n60196 90308\n39769 59828\n81316 100000\n46272 69503\n15850 23897\n70913 100000\n88411 100000\n58623 87950\n9038 13601\n54008 81049\n39060 58755\n47106 70741\n44213 66431\n54695 82062\n90466 100000\n4914 7385\n73062 100000\n69497 100000\n17412 26247\n10352 15580\n44161 66348\n97918 100000\n28590 43077\n19557 29478\n21885 32988\n26758 40301\n37033 55725\n88496 100000\n51374 77119\n21455 32333\n11468 17276\n36791 55362\n12923 19453\n99048 100000\n99831 100000\n32714 49255\n50574 75923\n29660 44669\n10499 15800\n78229 100000\n92546 100000\n21006 31667\n13092 19715\n25129 37866\n50995 76556\n94654 100000\n65977 98980\n12537 18886\n50098 75196\n40632 61105\n28822 43435\n23460 35378\n54825 82257\n97090 100000\n61715 92557\n65358 98032\n25980 39129\n54376 81584\n76158 100000\n87671 100000\n12092 18215\n62965 94439\n27073 40769\n41017 61675\n10119 15236\n86815 100000\n19856 29937\n37783 56850\n94284 100000\n67095 100000\n97765 100000\n5577 8373\n39975 60133\n99012 100000\n79655 100000\n58511 87786\n40893 61490\n13575 20453\n29047 43766\n40363 60707\n18163 27363\n82779 100000\n55618 83437\n13742 20703\n7707 11583\n37760 56815\n30286 45620\n28426 42829\n13404 20186\n55111 82674\n39172 58924\n69341 100000\n18411 27726\n58641 87976\n84140 100000\n63646 95454\n10589 15929\n84952 100000\n34207 51448\n85241 100000\n81464 100000\n74995 100000\n19642 29609\n40328 60651\n14723 22199\n36803 55379\n20935 31562\n50981 76533\n89816 100000\n86269 100000\n24459 36881\n85213 100000\n14894 22450\n21606 32571\n56334 84499\n86903 100000\n27924 42061\n26552 39981\n78736 100000\n60415 90632\n45964 69048\n17267 26039\n67187 100000\n10374 15616\n97316 100000\n75905 100000\n82423 100000\n76531 100000\n25165 37922\n71835 100000\n3447 5209\n30593 46081\n10462 15745\n50578 75928\n76364 100000\n37874 56984\n34829 52384\n79127 100000\n66459 99716\n39842 59933\n76202 100000\n33775 50819\n26393 39751\n70751 100000\n95038 100000\n94428 100000\n63608 95401\n87473 100000\n70675 100000\n73681 100000\n26038 39218\n1355 2071\n6564 9863\n39960 60110\n30093 45333\n68809 100000\n87568 100000\n14956 22543\n45151 67829\n67091 100000\n27246 41026\n25947 39082\n77414 100000\n38063 57270\n18000 27120\n85293 100000\n64598 96884\n82604 100000\n3842 5780\n20532 30966\n35736 53753\n35027 52689\n62412 93621\n70040 100000\n11565 17427\n52554 78859\n27257 41043\n71664 100000\n16627 25058\n49117 73738\n65327 97983\n60753 91139\n51997 78051\n85420 100000\n38373 57734\n78321 100000\n61508 92242\n5801 8718\n8600 12942\n21516 32425\n85869 100000\n28290 42620\n47815 71803\n79568 100000\n37594 56561\n85249 100000\n29824 44924\n94077 100000\n60785 91189\n54797 82215\n96867 100000\n84105 100000\n14328 21592\n12513 18852\n7996 12023\n12210 18389\n99490 100000\n38966 58613\n25624 38605\n30371 45747\n14001 21106\n24618 37105\n54461 81710\n70930 100000\n51112 76729\n93378 100000\n82328 100000\n75220 100000\n12438 18735\n93681 100000\n37436 56328\n47525 71357\n69718 100000\n89750 100000\n81648 100000\n94160 100000\n15185 22878\n9219 13863\n26267 39564\n78279 100000\n12430 18724\n75420 100000\n44288 66537\n42658 64113\n62910 94353\n15798 23819\n29297 44140\n86775 100000\n53238 79873\n30448 45864\n71070 100000\n13390 20165\n15979 24078\n94479 100000\n85885 100000\n76804 100000\n90608 100000\n12355 18611\n83604 100000\n96680 100000\n76271 100000\n48480 72789\n32948 49600\n82373 100000\n97158 100000\n68493 100000\n79531 100000\n78699 100000\n7868 11828\n53108 79689\n52592 78917\n71066 100000\n23895 36021\n54046 81105\n4752 7136\n28755 43337\n86431 100000\n60447 90682\n40201 60464\n15423 23228\n84679 100000\n9711 14624\n82112 100000\n88887 100000\n84601 100000\n14192 21389\n98413 100000\n76667 100000\n63837 95748\n37832 56919\n2525 3821\n97076 100000\n93986 100000\n1886 2872\n47531 71367\n28077 42290\n48330 72572\n24231 36539\n63256 94871\n46040 69161\n58935 88423\n27977 42138\n25665 38658\n92202 100000\n41317 62121\n12748 19206\n1766 2688\n69524 100000\n14453 21792\n36917 55556\n41831 62886\n2338 3541\n23594 35573\n83767 100000\n2635 3986\n8160 12273\n25220 38000\n73744 100000\n75017 100000\n84590 100000\n24129 36379\n67316 100000\n31195 46983\n91139 100000\n81265 100000\n98912 100000\n18060 27211\n21273 32056\n83267 100000\n49205 73875\n54666 82019\n92525 100000\n83536 100000\n64237 96353\n89716 100000\n21968 33117\n79678 100000\n22277 33589\n89098 100000\n13809 20801\n14172 21359\n97325 100000\n22514 33944\n16070 24220\n22086 33294\n36931 55575\n69010 100000\n27240 41018\n94666 100000\n74026 100000\n79114 100000\n20573 31030\n9548 14376\n66303 99484\n55453 83185\n52905 79373\n83109 100000\n15001 22606\n5838 8771\n59372 89095\n30479 45912\n59365 89083\n6077 9142\n4969 7462\n11073 16664\n83835 100000\n70802 100000\n24038 36242\n65271 97898\n8406 12644\n49465 74262\n43886 65955\n37638 56627\n98405 100000\n30278 45605\n25842 38928\n59022 88553\n25846 38935\n58000 87011\n49872 74857\n34720 52219\n95288 100000\n5475 8219\n63339 94999\n92840 100000\n69781 100000\n19085 28750\n31651 47676\n55208 82821\n14484 21835\n5715 8582\n38505 57927\n22300 33622\n24493 36935\n23703 35734\n33406 50270\n58865 88316\n22881 34495\n34402 51748\n45427 68237\n87087 100000\n28829 43447\n69991 100000\n76220 100000\n16791 25310\n98428 100000\n43898 65975\n44036 66171\n82777 100000\n44414 66723\n94332 100000\n78354 100000\n33999 51150\n62106 93144\n43864 65924\n51837 77819\n84630 100000\n96921 100000\n45329 68095\n6282 9443\n84976 100000\n85643 100000\n51038 76619\n92939 100000\n83403 100000\n84291 100000\n65856 98794\n92762 100000\n60161 90255\n40962 61593\n51334 77058\n3988 5989\n36679 55189\n68867 100000\n18463 27813\n59162 88764\n76078 100000\n94653 100000\n79053 100000\n55697 83555\n45836 68859\n36752 55303\n88157 100000\n52480 78752\n93897 100000\n61741 92599\n27181 40932\n40411 60778\n80481 100000\n26804 40367\n59540 89327\n35406 53256\n93656 100000\n26057 39245\n75363 100000\n4305 6471\n58416 87642\n50654 76036\n62221 93334\n29793 44878\n49987 75026\n47382 71148\n25616 38593\n43817 65855\n8349 12553\n335 514\n72183 100000\n18345 27638\n36352 54680\n4763 7152\n19054 28698\n65824 98745\n9598 14455\n63703 95541\n36205 54450\n14409 21719\n92370 100000\n67948 100000\n46207 69413\n37498 56420\n48105 72240\n79263 100000\n28153 42406\n16869 25430\n73283 100000\n25183 37948\n85162 100000\n36505 54917\n9259 13928\n40414 60781\n34546 51962\n89758 100000\n50053 75125\n60956 91438\n98926 100000\n3402 5141\n30240 45549\n30732 46290\n10513 15820\n15695 23654\n51258 76947\n50827 76301\n38225 57510\n47086 70709\n46943 70496\n86293 100000\n51460 77248\n69823 100000\n74994 100000\n73012 100000\n16301 24574\n90823 100000\n10045 15127\n68116 100000\n2054 3123\n67499 100000\n25448 38345\n11255 16943\n55090 82646\n24981 37645\n10884 16380\n4356 6541\n364 561\n10574 15907\n99593 100000\n92341 100000\n93678 100000\n98851 100000\n62561 93835\n68408 100000\n59744 89639\n41418 62264\n1720 2620\n31829 47938\n658 1007\n76115 100000\n1641 2499\n27992 42160\n86196 100000\n85025 100000\n16917 25505\n99333 100000\n15632 23557\n59431 89172\n18930 28510\n95930 100000\n28708 43261\n40338 60667\n94833 100000\n1233 1879\n1144 1748\n68002 100000\n95825 100000\n99866 100000\n60335 90515\n2349 3559\n38506 57928\n769 1184\n85677 100000\n93570 100000\n75940 100000\n82630 100000\n21462 32344\n81190 100000\n40879 61469\n29650 44654\n46352 69619\n32334 48690\n62224 93338\n58028 87051\n82220 100000\n26090 39297\n95999 100000\n73080 100000\n69960 100000\n3994 5998\n20325 30642\n46261 69489\n98436 100000\n29317 44170\n63342 95002\n41668 62643\n48831 73312\n78235 100000\n99711 100000\n46026 69141\n84060 100000\n55930 83910\n20339 30664\n70449 100000\n22441 33835\n43849 65901\n3769 5673\n13339 20085\n2757 4170\n19886 29989\n75557 100000\n19031 28664\n71034 100000\n21193 31936\n94061 100000\n26817 40387\n99784 100000\n83619 100000\n59268 88923\n48263 72476\n45109 67769\n22325 33660\n82808 100000\n35305 53104\n60766 91160\n62872 94296\n57526 86294\n21408 32258\n28604 43099\n72516 100000\n7012 10525\n99986 100000\n85650 100000\n47644 71536\n49682 74577\n1631 2484\n41710 62704\n33020 49704\n5015 7529\n38581 58038\n79894 100000\n38918 58538\n67238 100000\n55517 83286\n70792 100000\n84359 100000\n83785 100000\n89300 100000\n66811 100000\n68751 100000\n80503 100000\n12930 19463\n37328 56157\n92605 100000\n97644 100000\n41369 62193\n79472 100000\n72643 100000\n90849 100000\n31603 47605\n26762 40307\n67692 100000\n92954 100000\n58382 87586\n29751 44811\n86937 100000\n38789 58344\n95037 100000\n22691 34212\n33408 50273\n44108 66276\n19377 29206\n46858 70367\n47257 70959\n6860 10303\n75962 100000\n84142 100000\n63265 94886\n59109 88684\n36213 54464\n56230 84338\n36842 55436\n68489 100000\n83495 100000\n64734 97098\n20123 30349\n99981 100000\n33904 51007\n95149 100000\n27300 41112\n15563 23449\n15236 22958\n86332 100000\n8403 12639\n52214 78358\n76348 100000\n51554 77395\n44132 66308\n81148 100000\n82794 100000\n86771 100000\n33064 49768\n36743 55288\n23151 34890\n4211 6323\n90858 100000\n4114 6176\n2859 4319\n41900 62996\n50225 75394\n10 16\n63788 95678\n25667 38661\n45880 68924\n98784 100000\n51172 76829\n37818 56895\n81018 100000\n25830 38912\n70038 100000\n92310 100000\n67352 100000\n70364 100000\n97160 100000\n51424 77194\n79452 100000\n19703 29704\n20909 31525\n62079 93106\n93133 100000\n83436 100000\n65459 98186\n68137 100000\n57432 86154\n16695 25161\n67943 100000\n35941 54054\n77975 100000\n40991 61637\n39757 59811\n67790 100000\n45010 67622\n63130 94686\n32008 48196\n15920 23997\n70586 100000\n14339 21608\n13238 19939\n51020 76594\n16194 24412\n1621 2470\n1644 2504\n58565 87862\n99976 100000\n45397 68192\n26256 39547\n73116 100000\n95685 100000\n95777 100000\n98845 100000\n8558 12874\n61911 92858\n17016 25652\n58818 88248\n10217 15377\n38950 58588\n72411 100000\n96864 100000\n15018 22632\n714 1099\n90827 100000\n42173 63396\n66190 99306\n65310 97956\n67672 100000\n64432 96631\n16668 25118\n73706 100000\n26759 40302\n27484 41392\n49558 74396\n49806 74763\n58626 87955\n94312 100000\n18729 28212\n67615 100000\n46574 69956\n57187 85765\n81739 100000\n5679 8526\n66249 99401\n97302 100000\n4301 6465\n90610 100000\n42653 64108\n81385 100000\n36936 55582\n59681 89540\n37178 55937\n14231 21451\n73743 100000\n75900 100000\n41214 61971\n80229 100000\n88336 100000\n28390 42769\n88520 100000\n8523 12819\n36942 55590\n86666 100000\n62618 93925\n32943 49593\n31725 47786\n34261 51526\n92684 100000\n23636 35634\n22779 34342\n90073 100000\n3661 5518\n68 108\n78458 100000\n19217 28952\n39550 59485\n98480 100000\n10992 16536\n77565 100000\n24883 37496\n56074 84116\n10796 16248\n83579 100000\n66000 99015\n21029 31700\n93518 100000\n96481 100000\n90978 100000\n81776 100000\n80652 100000\n96971 100000\n43997 66119\n48333 72576\n45022 67640\n84225 100000\n14527 21899\n43751 65758\n42075 63249\n19196 28918\n36005 54153\n55933 83915\n55328 83005\n43379 65204\n81024 100000\n4605 6920\n63948 95911\n44302 66556\n60254 90397\n23912 36046\n63252 94866\n90480 100000\n69940 100000\n54045 81103\n77058 100000\n81887 100000\n28420 42818\n83480 100000\n95654 100000\n15930 24012\n25574 38533\n50708 76121\n2553 3867\n86772 100000\n58507 87779\n9462 14236\n4530 6814\n21342 32162\n98008 100000\n90231 100000\n59400 89131\n19012 28636\n54233 81380\n97238 100000\n95079 100000\n96894 100000\n86454 100000\n31746 47816\n59384 89112\n96855 100000\n28696 43245\n8302 12482\n12137 18279\n63892 95830\n31369 47236\n27396 41264\n92343 100000\n98003 100000\n82117 100000\n11618 17507\n46107 69266\n38493 57911\n37573 56530\n44467 66800\n64429 96627\n60664 91003\n13689 20621\n55447 83175\n76609 100000\n21131 31847\n21572 32517\n36625 55105\n46401 69696\n85688 100000\n77026 100000\n39989 60154\n51000 76563\n707 1086\n29678 44696\n69017 100000\n31056 46771\n75822 100000\n48046 72146\n94487 100000\n83675 100000\n20359 30698\n20183 30434\n3326 5025\n66053 99094\n53441 80174\n483 738\n87219 100000\n7776 11687\n17834 26876\n85587 100000\n37003 55681\n8798 13241\n92580 100000\n41312 62114\n90048 100000\n98654 100000\n8197 12328\n65799 98707\n21842 32924\n32539 49000\n36471 54865\n93165 100000\n88290 100000\n17064 25726\n38274 57588\n63266 94887\n83493 100000\n56578 84875\n82715 100000\n50224 75392\n90794 100000\n16870 25432\n34372 51701\n52404 78644\n67716 100000\n38388 57757\n39809 59890\n28368 42737\n25929 39057\n94222 100000\n8231 12378\n3289 4970\n39187 58945\n58126 87201\n88466 100000\n13891 20929\n23507 35450\n48615 72983\n30491 45930\n94271 100000\n80955 100000\n25642 38628\n18737 28222\n11675 17595\n44708 67161\n25192 37959\n84683 100000\n59950 89947\n27942 42087\n21411 32262\n23271 35075\n68359 100000\n56133 84203\n74805 100000\n72819 100000\n26748 40287\n19592 29533\n4226 6346\n55158 82742\n54622 81952\n61276 91910\n69226 100000\n55920 83898\n54921 82391\n39567 59515\n65333 97992\n12095 18219\n14908 22473\n38343 57689\n90264 100000\n49943 74960\n342 525\n49116 73736\n695 1066\n82685 100000\n18972 28572\n90395 100000\n48170 72340\n82619 100000\n95790 100000\n64314 96459\n27605 41578\n58738 88129\n63955 95922\n69442 100000\n4575 6879\n13932 20997\n8167 12283\n73794 100000\n45843 68869\n16362 24661\n67830 100000\n29442 44346\n73096 100000\n40405 60767\n42994 64622\n45823 68841\n85781 100000\n30660 46181\n77854 100000\n49355 74095\n81484 100000\n86104 100000\n16111 24281\n31880 48014\n13737 20694\n38869 58463\n97384 100000\n10925 16438\n34933 52549\n86677 100000\n33720 50734\n54739 82126\n86163 100000\n5908 8878\n37803 56876\n39146 58886\n11204 16864\n54048 81108\n49724 74638\n39747 59795\n64938 97403\n37000 55676\n74450 100000\n79927 100000\n61625 92415\n78350 100000\n12026 18124\n74227 100000\n7235 10865\n94210 100000\n96426 100000\n4556 6852\n96397 100000\n62731 94089\n44576 66965\n94792 100000\n63461 95180\n88070 100000\n25787 38846\n49949 74968\n84441 100000\n17803 26823\n54146 81250\n40973 61609\n32156 48418\n21867 32965\n25626 38607\n34115 51318\n13545 20407\n79017 100000\n9107 13698\n27150 40882\n30694 46234\n28049 42243\n35053 52729\n4472 6726\n40611 61074\n6806 10225\n31006 46697\n91477 100000\n99026 100000\n87655 100000\n12736 19190\n72186 100000\n32627 49126\n19104 28777\n5823 8750\n85038 100000\n10133 15259\n85941 100000\n31276 47097\n51999 78055\n67326 100000\n49581 74429\n88045 100000\n87230 100000\n55825 83745\n68173 100000\n81336 100000\n89928 100000\n66354 99562\n71028 100000\n57839 86763\n30475 45906\n88639 100000\n70917 100000\n53739 80632\n73834 100000\n58924 88405\n84763 100000\n28363 42732\n36554 54990\n91525 100000\n49068 73661\n52126 78233\n74014 100000\n15762 23758\n25873 38977\n42001 63147\n62578 93862\n75385 100000\n53572 80376\n53978 81003\n64447 96650\n48398 72671\n37720 56753\n51603 77470\n34164 51382\n24509 36957\n3339 5049\n78905 100000\n78110 100000\n22041 33224\n4111 6172\n71842 100000\n22751 34298\n76507 100000\n43960 66066\n37115 55845\n30251 45565\n78017 100000\n64029 96040\n42594 64024\n81618 100000\n51989 78039\n97183 100000\n57409 86120\n72815 100000\n87334 100000\n4590 6899\n56385 84584\n571 873\n22651 34153\n64678 97006\n64574 96851\n45499 68344\n29483 44404\n90721 100000\n95340 100000\n13197 19875\n38699 58215\n51517 77337\n82761 100000\n80025 100000\n98595 100000\n35637 53608\n82510 100000\n7440 11180\n35447 53315\n52613 78948\n38707 58226\n76512 100000\n2256 3417\n14733 22214\n29454 44361\n95262 100000\n80564 100000\n69650 100000\n22155 33406\n90971 100000\n55065 82606\n84754 100000\n29521 44462\n66406 99641\n93686 100000\n71573 100000\n73484 100000\n5816 8739\n34445 51813\n58869 88321\n87774 100000\n87772 100000\n89689 100000\n8535 12838\n81600 100000\n5923 8900\n99789 100000\n25922 39046\n6772 10178\n32254 48568\n85514 100000\n83181 100000\n58815 88243\n45222 67933\n32887 49512\n98129 100000\n14418 21737\n5404 8114\n86313 100000\n50564 75907\n77076 100000\n35432 53294\n35201 52960\n81621 100000\n61232 91841\n17487 26356\n2445 3693\n68766 100000\n47494 71308\n488 745\n9234 13888\n49699 74603\n31809 47904\n47599 71469\n3010 4548\n49578 74424\n15954 24043\n6456 9702\n93144 100000\n95152 100000\n3074 4644\n24652 37155\n58643 87979\n77126 100000\n70066 100000\n96448 100000\n39958 60106\n86179 100000\n31031 46731\n73551 100000\n31228 47031\n7292 10952\n22461 33866\n50474 75774\n74825 100000\n88383 100000\n15238 22961\n67705 100000\n93068 100000\n87943 100000\n13502 20339\n98212 100000\n57060 85577\n1030 1571\n44274 66515\n91879 100000\n8614 12965\n45436 68251\n66707 100000\n28262 42575\n28702 43253\n47692 71609\n13400 20180\n98640 100000\n35626 53590\n79902 100000\n13509 20351\n31491 47424\n73926 100000\n12301 18529\n53027 79559\n78918 100000\n98622 100000\n10591 15932\n58793 88211\n61006 91511\n95737 100000\n67870 100000\n30877 46513\n11894 17924\n19116 28794\n78446 100000\n42143 63356\n68155 100000\n27791 41862\n34596 52034\n61946 92909\n10019 15086\n25428 38313\n16855 25408\n67153 100000\n32709 49247\n68406 100000\n35405 53255\n76411 100000\n11165 16801\n49279 73982\n62108 93147\n48977 73526\n52052 78130\n84520 100000\n64631 96936\n57601 86410\n64174 96258\n92874 100000\n25512 38444\n61678 92501\n78451 100000\n56279 84411\n18183 27392\n40463 60855\n52636 78978\n42432 63775\n58739 88131\n24032 36232\n55840 83772\n15918 23993\n90213 100000\n34335 51647\n46397 69690\n95193 100000\n91751 100000\n95260 100000\n55183 82782\n25994 39147\n93969 100000\n26718 40237\n34106 51306\n31649 47674\n63819 95725\n57036 85543\n95110 100000\n86687 100000\n73112 100000\n42609 64046\n34851 52421\n54507 81778\n80130 100000\n93117 100000\n91686 100000\n31387 47264\n37222 55998\n94535 100000\n25254 38052\n59809 89736\n40479 60876\n98117 100000\n62080 93108\n98947 100000\n87286 100000\n74319 100000\n13309 20041\n82386 100000\n72115 100000\n59196 88817\n71017 100000\n80433 100000\n80101 100000\n17767 26774\n22840 34432\n39154 58897\n60124 90202\n67244 100000\n72725 100000\n27533 41467\n93840 100000\n57935 86911\n57104 85642\n54457 81704\n86007 100000\n15642 23573\n4003 6013\n3231 4883\n81184 100000\n52268 78440\n10757 16193\n58069 87116\n58309 87473\n54816 82244\n69085 100000\n54550 81841\n63593 95374\n23357 35215\n3805 5729\n12557 18916\n20735 31266\n30092 45332\n48718 73147\n69105 100000\n17158 25876\n93338 100000\n90599 100000\n75509 100000\n3610 5443\n16490 24850\n77094 100000\n50833 76311\n64317 96464\n833 1280\n25391 38256\n25605 38577\n25674 38674\n10002 15061\n74718 100000\n78103 100000\n84466 100000\n75160 100000\n41156 61884\n84598 100000\n38660 58159\n36926 55568\n540 827\n25954 39091\n24653 37156\n28239 42539\n45203 67908\n4227 6347\n33703 50711\n44557 66935\n14050 21173\n58598 87912\n10592 15933\n23241 35029\n32804 49385\n26868 40463\n22349 33696\n62160 93236\n76380 100000\n53522 80300\n97735 100000\n81402 100000\n69329 100000\n72794 100000\n68855 100000\n2240 3393\n70346 100000\n47443 71238\n30096 45338\n84482 100000\n84293 100000\n91589 100000\n30121 45374\n21148 31874\n42714 64198\n57256 85871\n11142 16768\n80687 100000\n34408 51756\n36600 55060\n5308 7969\n68347 100000\n10867 16356\n97959 100000\n95861 100000\n99679 100000\n78563 100000\n38711 58231\n47807 71790\n25975 39122\n88342 100000\n24874 37482\n67747 100000\n71840 100000\n39494 59405\n87777 100000\n74311 100000\n52568 78882\n97113 100000\n33527 50443\n18402 27715\n23585 35559\n85644 100000\n89657 100000\n66436 99686\n73032 100000\n4504 6775\n29907 45049\n45475 68309\n58672 88026\n56483 84724\n41696 62685\n29854 44965\n65749 98631\n10877 16370\n10693 16090\n77416 100000\n77568 100000\n61586 92358\n4994 7499\n29685 44708\n39143 58881\n18512 27891\n84272 100000\n52440 78691\n77866 100000\n58629 87959\n7675 11535\n33122 49851\n63685 95513\n23768 35827\n35683 53672\n52677 79037\n10617 15972\n86055 100000\n77805 100000\n35043 52714\n15040 22663\n65495 98242\n62824 94224\n68932 100000\n66359 99568\n34101 51300\n15789 23802\n57796 86702\n45352 68131\n28981 43668\n45361 68144\n56711 85071\n32183 48460\n99095 100000\n79252 100000\n65784 98684\n1050 1602\n82717 100000\n72990 100000\n55502 83258\n53643 80483\n27309 41126\n4100 6155\n73723 100000\n5999 9017\n48664 73059\n70045 100000\n20228 30506\n85615 100000\n69272 100000\n75718 100000\n73082 100000\n51916 77934\n77538 100000\n6299 9466\n1056 1611\n89630 100000\n47588 71455\n86926 100000\n55152 82735\n33798 50853\n68790 100000\n25537 38478\n21110 31818\n2461 3719\n35145 52867\n10417 15678\n89008 100000\n73141 100000\n91930 100000\n33980 51118\n59055 88602\n80543 100000\n70787 100000\n50486 75791\n83358 100000\n56931 85397\n1389 2127\n55390 83086\n81986 100000\n91067 100000\n3495 5283\n10300 15508\n31425 47323\n87016 100000\n7463 11212\n80395 100000\n69024 100000\n48063 72173\n53087 79658\n74983 100000\n13620 20516\n8702 13096\n46535 69892\n6208 9331\n50627 76000\n19297 29079\n12517 18858\n52433 78684\n76786 100000\n47912 71948\n43087 64756\n38011 57193\n63449 95163\n36597 55054\n2017 3068\n90979 100000\n55265 82905\n24962 37614\n84130 100000\n10546 15866\n73211 100000\n28294 42625\n38609 58080\n12538 18888\n80176 100000\n59315 89000\n97322 100000\n83634 100000\n12141 18286\n16449 24788\n37412 56290\n6959 10447\n79907 100000\n26616 40070\n85560 100000\n71849 100000\n28552 43021\n56382 84578\n18273 27529\n98538 100000\n65076 97606\n96587 100000\n37881 56993\n33680 50674\n12443 18745\n82178 100000\n25277 38086\n77298 100000\n34792 52326\n53235 79869\n36308 54609\n29766 44836\n31733 47798\n21141 31864\n22360 33712\n16793 25314\n95129 100000\n26492 39899\n92380 100000\n520 795\n98013 100000\n1572 2395\n31805 47900\n85504 100000\n65752 98635\n76688 100000\n27165 40906\n7771 11680\n55418 83132\n59233 88873\n70349 100000\n37812 56887\n24630 37122\n8100 12183\n35641 53614\n64189 96279\n93005 100000\n10493 15791\n47564 71419\n62839 94248\n96953 100000\n59380 89105\n13590 20474\n71155 100000\n40905 61507\n16746 25236\n44566 66950\n16053 24195\n81377 100000\n26151 39390\n40146 60383\n31545 47512\n82695 100000\n77932 100000\n55535 83310\n87872 100000\n46033 69151\n95064 100000\n24356 36731\n80124 100000\n15787 23799\n5644 8473\n80545 100000\n63728 95577\n45804 68815\n75421 100000\n89790 100000\n79207 100000\n95188 100000\n48358 72612\n91069 100000\n9188 13818\n41847 62913\n32853 49460\n32561 49031\n57309 85956\n68064 100000\n77743 100000\n36007 54156\n63739 95597\n44119 66292\n59269 88924\n38415 57799\n89797 100000\n30352 45718\n5628 8449\n97648 100000\n4970 7463\n65051 97572\n53723 80609\n21844 32927\n49043 73626\n86689 100000\n7852 11802\n37713 56743\n15936 24018\n71571 100000\n95430 100000\n83337 100000\n19927 30054\n37804 56877\n27174 40919\n85573 100000\n12118 18250\n13376 20143\n52816 79242\n43974 66085\n2631 3981\n67933 100000\n11959 18019\n7821 11754\n70187 100000\n10759 16195\n18123 27306\n65175 97754\n73175 100000\n66920 100000\n34730 52235\n89245 100000\n74222 100000\n96764 100000\n58899 88366\n86838 100000\n96140 100000\n21485 32376\n30322 45673\n47614 71488\n11467 17274\n16560 24960\n69563 100000\n48286 72506\n64040 96058\n43785 65807\n91747 100000\n59115 88692\n47000 70578\n3851 5792\n37148 55896\n18118 27298\n18355 27651\n91108 100000\n9221 13866\n49020 73592\n63297 94933\n6706 10076\n68840 100000\n23987 36164\n17570 26474\n90446 100000\n87870 100000\n56405 84609\n92638 100000\n60616 90933\n58707 88080\n60076 90134\n28936 43602\n31435 47337\n39890 60009\n95803 100000\n72793 100000\n81206 100000\n31988 48164\n51271 76967\n29634 44632\n16669 25119\n40724 61242\n65672 98510\n95678 100000\n39489 59398\n7987 12009\n7107 10672\n15932 24014\n54700 82070\n53712 80592\n37309 56125\n27833 41921\n43643 65592\n96062 100000\n41596 62530\n36653 55146\n60223 90352\n85539 100000\n33097 49818\n95946 100000\n40323 60644\n57770 86662\n44239 66466\n84170 100000\n23953 36106\n90874 100000\n21489 32383\n60170 90267\n37376 56232\n33626 50589\n27303 41117\n235 362\n20413 30780\n50744 76177\n69604 100000\n1047 1597\n65129 97686\n39210 58978\n36433 54805\n32868 49484\n53325 79996\n90154 100000\n80705 100000\n10291 15494\n2959 4472\n20489 30902\n53455 80198\n34463 51839\n69699 100000\n27810 41888\n34125 51331\n40020 60201\n72635 100000\n98005 100000\n97061 100000\n17167 25887\n55944 83931\n44387 66683\n11460 17265\n52143 78256\n98151 100000\n47502 71320\n97574 100000\n84481 100000\n31877 48010\n19704 29706\n90737 100000\n65713 98573\n15633 23559\n11722 17667\n34296 51586\n35518 53423\n96390 100000\n10140 15268\n57469 86208\n55741 83619\n61368 92041\n9383 14115\n55945 83932\n28741 43313\n59589 89404\n9717 14632\n95117 100000\n78076 100000\n42584 64008\n70767 100000\n4996 7501\n16009 24124\n25553 38503\n20512 30936\n66015 99037\n83902 100000\n30454 45874\n51494 77303\n95785 100000\n77685 100000\n43132 64827\n2212 3352\n49642 74518\n67096 100000\n8042 12093\n69752 100000\n75981 100000\n68478 100000\n82742 100000\n72752 100000\n45357 68138\n11081 16676\n36238 54503\n49332 74061\n2392 3618\n36442 54821\n29984 45165\n22855 34456\n93864 100000\n70151 100000\n26582 40021\n21103 31806\n53563 80363\n79771 100000\n45003 67613\n95367 100000\n54579 81884\n82532 100000\n95 144\n11230 16904\n57660 86500\n61290 91932\n28935 43600\n20119 30342\n6644 9984\n9759 14692\n64935 97399\n76520 100000\n13194 19870\n99577 100000\n71874 100000\n58079 87133\n27571 41525\n2531 3830\n57315 85966\n7660 11511\n84852 100000\n21356 32183\n29154 43923\n86966 100000\n36056 54229\n43364 65183\n49888 74882\n55337 83017\n87637 100000\n62957 94426\n61811 92703\n88924 100000\n21239 32004\n37885 57000\n97373 100000\n32832 49422\n58002 87014\n49485 74291\n8351 12557\n71723 100000\n87457 100000\n6549 9844\n95111 100000\n70198 100000\n14335 21602\n97932 100000\n67532 100000\n61444 92149\n65542 98315\n16005 24118\n3388 5119\n30892 46535\n33748 50777\n59028 88560\n70339 100000\n15192 22889\n86759 100000\n80575 100000\n61415 92112\n89644 100000\n98247 100000\n864 1329\n38408 57786\n89430 100000\n80114 100000\n47652 71550\n79683 100000\n80197 100000\n5074 7622\n82389 100000\n19477 29359\n18493 27862\n5440 8169\n96996 100000\n93027 100000\n27754 41803\n95458 100000\n7962 11967\n45034 67656\n90671 100000\n22134 33374\n90398 100000\n90214 100000\n28057 42255\n41150 61876\n92994 100000\n94252 100000\n17232 25984\n6991 10493\n79342 100000\n62443 93668\n38313 57644\n73609 100000\n35854 53929\n41878 62961\n86113 100000\n2479 3748\n25884 38991\n33189 49949\n46564 69940\n79003 100000\n44300 66553\n32888 49514\n92826 100000\n34002 51155\n63406 95101\n56971 85451\n26689 40193\n82659 100000\n8577 12906\n64056 96083\n24491 36933\n51635 77518\n93055 100000\n1813 2763\n38341 57686\n4563 6862\n64744 97113\n62943 94404\n86243 100000\n8662 13039\n79254 100000\n61260 91888\n5804 8722\n69205 100000\n31422 47320\n58180 87281\n78856 100000\n92011 100000\n2238 3391\n60079 90139\n27398 41267\n75766 100000\n81824 100000\n62847 94259\n3398 5135\n39608 59579\n58454 87701\n51027 76605\n92646 100000\n24175 36446\n61129 91688\n29711 44748\n48722 73153\n12265 18475\n81330 100000\n7132 10708\n45269 68002\n74763 100000\n560 858\n64798 97195\n24603 37084\n62646 93961\n29954 45120\n89966 100000\n38718 58241\n95845 100000\n38781 58335\n28662 43189\n77410 100000\n60810 91227\n61765 92636\n86988 100000\n79349 100000\n18888 28449\n78861 100000\n18312 27590\n88313 100000\n49047 73631\n57202 85789\n43669 65632\n90955 100000\n8649 13019\n20346 30676\n99102 100000\n81972 100000\n23397 35283\n87897 100000\n96943 100000\n45839 68864\n56222 84327\n84862 100000\n47532 71369\n91160 100000\n59423 89162\n43320 65115\n2377 3598\n33150 49893\n83076 100000\n56164 84241\n2423 3660\n90998 100000\n10847 16325\n96151 100000\n7214 10833\n31444 47350\n88925 100000\n23230 35015\n95908 100000\n15634 23560\n87877 100000\n84378 100000\n47969 72032\n96531 100000\n47544 71388\n67131 100000\n75517 100000\n95210 100000\n92934 100000\n84389 100000\n15443 23260\n80980 100000\n86346 100000\n98744 100000\n97958 100000\n54796 82213\n35240 53013\n83243 100000\n61518 92256\n3095 4679\n85593 100000\n33093 49811\n68672 100000\n25471 38379\n8188 12314\n49434 74217\n90560 100000\n41931 63042\n36080 54266\n14232 21452\n1133 1732\n84964 100000\n94843 100000\n91667 100000\n67199 100000\n79089 100000\n39355 59198\n51470 77265\n32529 48985\n53017 79544\n24642 37139\n39152 58895\n48738 73178\n31072 46799\n70800 100000\n67810 100000\n40710 61221\n76175 100000\n21383 32226\n76422 100000\n83229 100000\n77463 100000\n83265 100000\n54147 81252\n88436 100000\n75984 100000\n37152 55902\n65517 98278\n52892 79355\n21658 32647\n46461 69787\n27672 41677\n17308 26098\n98045 100000\n80762 100000\n66946 100000\n18371 27670\n19227 28966\n80042 100000\n76270 100000\n91711 100000\n4710 7075\n88608 100000\n9938 14963\n38501 57921\n23021 34704\n14029 21145\n28120 42356\n4740 7118\n58581 87886\n37891 57008\n56758 85136\n37860 56960\n4597 6909\n22630 34124\n85428 100000\n64392 96567\n61706 92544\n23350 35205\n41589 62519\n57740 86618\n58604 87921\n54085 81161\n22027 33203\n7554 11353\n94971 100000\n95232 100000\n2398 3625\n52449 78705\n29218 44021\n21570 32513\n34274 51549\n62796 94187\n91133 100000\n24360 36736\n11599 17480\n96066 100000\n53049 79595\n99228 100000\n79171 100000\n30216 45514\n70476 100000\n80511 100000\n37993 57167\n71945 100000\n18757 28257\n7322 11000\n93994 100000\n80521 100000\n8560 12876\n68322 100000\n99124 100000\n53356 80047\n47737 71677\n92721 100000\n26059 39248\n15618 23534\n90021 100000\n58122 87196\n92623 100000\n52186 78318\n40137 60372\n41718 62715\n6423 9651\n83965 100000\n8359 12569\n19899 30010\n79832 100000\n88483 100000\n66579 99895\n35024 52685\n67788 100000\n28850 43479\n7530 11314\n28456 42874\n33565 50496\n81114 100000\n45600 68506\n49445 74234\n55522 83293\n59062 88613\n18747 28240\n47519 71348\n42884 64451\n98110 100000\n69437 100000\n17473 26333\n50923 76446\n54769 82176\n80977 100000\n49283 73986\n34277 51554\n43257 65018\n43154 64857\n57492 86243\n8305 12487\n93799 100000\n12615 19007\n44616 67024\n82121 100000\n30565 46039\n39021 58693\n87404 100000\n86774 100000\n77959 100000\n29744 44801\n6912 10382\n74366 100000\n47089 70714\n98082 100000\n18365 27663\n22205 33479\n976 1492\n88194 100000\n63174 94752\n52448 78703\n60248 90388\n80342 100000\n98224 100000\n53793 80714\n4422 6646\n71506 100000\n18724 28206\n2063 3136\n51288 76991\n95872 100000\n53851 80803\n17202 25940\n52965 79468\n30626 46126\n26214 39483\n91003 100000\n91294 100000\n10197 15350\n30525 45981\n81432 100000\n50313 75528\n67136 100000\n8142 12246\n29922 45071\n36473 54869\n87831 100000\n20458 30850\n10350 15578\n873 1340\n87785 100000\n31634 47652\n29914 45058\n70548 100000\n5500 8255\n76631 100000\n7445 11189\n70243 100000\n96085 100000\n16260 24511\n73643 100000\n39667 59670\n41445 62306\n78409 100000\n25859 38955\n21165 31898\n30104 45350\n36340 54661\n19336 29144\n20993 31647\n90722 100000\n17586 26499\n15283 23028\n1319 2011\n66492 99767\n74398 100000\n58396 87609\n75016 100000\n27490 41402\n77204 100000\n84530 100000\n24432 36844\n13844 20855\n71459 100000\n70635 100000\n93662 100000\n40687 61186\n8115 12204\n53949 80959\n52576 78894\n61968 92937\n68595 100000\n52555 78861\n58089 87146\n31118 46866\n69519 100000\n99231 100000\n28960 43636\n46470 69799\n69348 100000\n58784 88198\n7850 11799\n75381 100000\n52233 78387\n69928 100000\n32069 48288\n99781 100000\n62884 94316\n4428 6656\n59185 88799\n94938 100000\n42922 64506\n46636 70044\n29971 45147\n9575 14421\n64526 96777\n82658 100000\n55069 82614\n90853 100000\n83424 100000\n54654 82002\n87111 100000\n69332 100000\n60450 90685\n29181 43965\n21215 31970\n68898 100000\n3354 5069\n60036 90075\n26334 39663\n63759 95632\n51364 77106\n86116 100000\n812 1250\n32656 49166\n4228 6348\n25603 38575\n52959 79461\n33652 50630\n14742 22227\n76762 100000\n68427 100000\n66004 99020\n33343 50179\n3209 4850\n72578 100000\n93566 100000\n55702 83561\n99737 100000\n92335 100000\n50888 76392\n41876 62959\n73071 100000\n79804 100000\n37637 56626\n35007 52659\n9658 14541\n67950 100000\n98673 100000\n23513 35459\n63671 95493\n44980 67578\n36126 54334\n18984 28589\n24416 36821\n24561 37026\n3596 5425\n64164 96242\n38032 57223\n7101 10664\n3506 5299\n5933 8916\n43391 65223\n20872 31473\n25730 38759\n68095 100000\n96478 100000\n20041 30225\n15997 24106\n34584 52015\n55307 82974\n22999 34672\n6204 9326\n94390 100000\n21287 32078\n529 810\n78429 100000\n40934 61550\n73357 100000\n90724 100000\n41940 63056\n96357 100000\n56466 84700\n23003 34677\n61064 91595\n48008 72090\n20897 31507\n88228 100000\n97738 100000\n27442 41331\n18466 27818\n53911 80897\n67013 100000\n95659 100000\n30210 45507\n43539 65433\n31136 46895\n57070 85592\n20515 30941\n45107 67767\n80879 100000\n56356 84534\n14761 22253\n1570 2392\n55543 83324\n97873 100000\n70801 100000\n68871 100000\n13393 20169\n68074 100000\n31730 47793\n65874 98823\n43386 65214\n37220 55995\n8708 13106\n73602 100000\n38785 58339\n42646 64097\n82097 100000\n47577 71439\n87375 100000\n27301 41113\n70 110\n28931 43595\n98093 100000\n80596 100000\n84282 100000\n51337 77063\n16687 25149\n39421 59293\n36434 54806\n56301 84447\n81813 100000\n14765 22259\n4991 7494\n17053 25710\n57609 86424\n29428 44324\n41742 62750\n43676 65643\n87117 100000\n54821 82252\n57926 86897\n5201 7803\n77037 100000\n40541 60970\n33813 50875\n43321 65117\n43335 65136\n95185 100000\n1177 1798\n99122 100000\n61486 92210\n64378 96547\n48038 72134\n78104 100000\n22968 34625\n79605 100000\n43217 64955\n19107 28782\n97352 100000\n52280 78460\n45658 68597\n5407 8117\n50565 75909\n93373 100000\n63220 94820\n53942 80948\n5488 8235\n54587 81898\n45299 68048\n34995 52640\n24822 37404\n57034 85539\n75876 100000\n15451 23273\n43620 65559\n78384 100000\n73976 100000\n80941 100000\n86507 100000\n64796 97192\n18886 28446\n13048 19648\n71157 100000\n25462 38366\n49790 74738\n5218 7829\n41014 61671\n40653 61137\n92118 100000\n86484 100000\n33081 49793\n5752 8647\n26598 40043\n81258 100000\n7471 11227\n8856 13328\n28707 43260\n62302 93456\n32919 49559\n69962 100000\n74794 100000\n78703 100000\n1716 2615\n68811 100000\n56686 85034\n84322 100000\n32938 49586\n73278 100000\n90038 100000\n47184 70849\n70419 100000\n82282 100000\n60729 91101\n95677 100000\n87061 100000\n89796 100000\n83793 100000\n41007 61662\n1594 2431\n76902 100000\n58285 87433\n76011 100000\n76311 100000\n10333 15554\n39000 58664\n67678 100000\n66456 99712\n82431 100000\n5611 8423\n15164 22847\n12558 18917\n91480 100000\n45131 67798\n81144 100000\n65520 98283\n4459 6705\n93834 100000\n37128 55866\n51681 77588\n76676 100000\n43822 65863\n4537 6826\n68302 100000\n99592 100000\n62533 93794\n18937 28520\n41827 62879\n54762 82166\n68197 100000\n16603 25026\n1077 1646\n7036 10559\n38100 57323\n5166 7754\n7560 11363\n96606 100000\n84409 100000\n59605 89429\n64845 97266\n7037 10561\n40850 61425\n29156 43927\n95311 100000\n52006 78064\n32033 48235\n32306 48649\n53984 81010\n90763 100000\n18756 28256\n59051 88597\n24449 36868\n3460 5227\n36725 55258\n14528 21900\n87243 100000\n51634 77517\n70331 100000\n62328 93493\n95512 100000\n12629 19029\n22486 33904\n34229 51482\n1970 2998\n53085 79654\n74925 100000\n80691 100000\n43178 64896\n59635 89473\n39191 58952\n72069 100000\n88620 100000\n89393 100000\n30163 45439\n39216 58988\n39486 59395\n48049 72151\n7010 10523\n97025 100000\n77871 100000\n39685 59697\n35345 53165\n49743 74669\n31020 46716\n83165 100000\n88559 100000\n65937 98921\n35098 52796\n17750 26747\n22646 34146\n49605 74465\n80563 100000\n25812 38885\n62314 93473\n76879 100000\n85993 100000\n81644 100000\n20583 31044\n25369 38222\n34863 52438\n68289 100000\n80872 100000\n33432 50308\n20568 31024\n78547 100000\n19249 29001\n16688 25151\n48980 73531\n54340 81533\n31067 46789\n46959 70520\n96175 100000\n89839 100000\n84164 100000\n93239 100000\n91155 100000\n42301 63580\n34326 51634\n52771 79175\n8994 13539\n69146 100000\n93567 100000\n76293 100000\n88946 100000\n38584 58043\n65484 98224\n79574 100000\n98825 100000\n93236 100000\n18113 27291\n46456 69779\n40045 60235\n78434 100000\n89429 100000\n26055 39243\n95058 100000\n1913 2910\n80423 100000\n32346 48707\n45318 68080\n66442 99694\n62588 93877\n41784 62814\n62046 93056\n96806 100000\n34621 52070\n81516 100000\n23721 35763\n98123 100000\n75228 100000\n88467 100000\n29308 44156\n30961 46638\n51921 77940\n32187 48464\n83075 100000\n53016 79542\n30265 45587\n79425 100000\n65356 98028\n88200 100000\n69368 100000\n86536 100000\n18728 28211\n15641 23572\n84700 100000\n76615 100000\n62774 94152\n59394 89123\n95466 100000\n22918 34552\n28347 42710\n29095 43835\n63372 95051\n19564 29489\n55642 83471\n87235 100000\n20634 31118\n78258 100000\n11630 17525\n88751 100000\n52601 78930\n50857 76344\n96147 100000\n80472 100000\n20804 31370\n43281 65053\n17860 26913\n36739 55282\n25404 38276\n53612 80437\n7881 11844\n61569 92333\n70307 100000\n74182 100000\n79287 100000\n13424 20216\n42969 64582\n88327 100000\n26882 40485\n89956 100000\n19182 28895\n43290 65069\n73385 100000\n9329 14036\n7570 11377\n1014 1547\n19038 28676\n44648 67071\n94544 100000\n34646 52106\n64496 96729\n20906 31521\n2193 3323\n31294 47123\n27839 41931\n10256 15439\n68791 100000\n7818 11749\n52524 78814\n76622 100000\n94285 100000\n67942 100000\n5905 8872\n55335 83014\n72716 100000\n60114 90186\n47480 71286\n92850 100000\n11817 17808\n81563 100000\n86451 100000\n34069 51257\n92193 100000\n85485 100000\n35598 53546\n64064 96096\n11206 16867\n89923 100000\n38220 57503\n9701 14610\n52058 78136\n76942 100000\n71149 100000\n15987 24090\n11186 16835\n21709 32730\n31912 48060\n14949 22534\n74413 100000\n54694 82060\n45768 68761\n66832 100000\n15308 23064\n77887 100000\n31685 47731\n33718 50732\n56973 85454\n45240 67961\n71094 100000\n91339 100000\n31844 47962\n69806 100000\n8709 13107\n68142 100000\n84082 100000\n55934 83917\n4602 6917\n32379 48758\n34634 52087\n88396 100000\n98973 100000\n1362 2082\n65475 98211\n10063 15153\n57231 85834\n11755 17720\n74661 100000\n76975 100000\n71446 100000\n64894 97340\n16279 24540\n60678 91027\n46918 70456\n60065 90119\n28744 43318\n44420 66733\n9892 14893\n88701 100000\n42597 64028\n26525 39945\n37400 56271\n90114 100000\n49594 74449\n43324 65120\n91407 100000\n9543 14368\n58291 87443\n91871 100000\n22742 34287\n5418 8133\n35168 52906\n53467 80215\n37671 56676\n80795 100000\n86960 100000\n14545 21927\n3252 4915\n94409 100000\n70021 100000\n41535 62442\n26968 40610\n51694 77609\n44424 66739\n91313 100000\n29589 44565\n64726 97083\n86009 100000\n26690 40195\n24614 37100\n40096 60308\n78051 100000\n36224 54481\n42040 63201\n8174 12294\n20828 31406\n7874 11835\n45790 68795\n19804 29859\n24818 37397\n18221 27451\n85120 100000\n19394 29233\n98424 100000\n14369 21654\n70765 100000\n7552 11351\n19480 29362\n35018 52675\n49664 74550\n9761 14694\n86435 100000\n18089 27257\n1974 3004\n40081 60290\n26947 40577\n9105 13696\n55908 83879\n56776 85164\n68894 100000\n77223 100000\n20949 31582\n33639 50609\n22338 33680\n1576 2402\n65237 97843\n71906 100000\n32687 49217\n53158 79759\n29657 44666\n3517 5314\n32281 48609\n33289 50100\n97048 100000\n63001 94494\n44908 67470\n23352 35209\n51901 77914\n79251 100000\n42235 63491\n15316 23074\n19883 29984\n28357 42725\n5355 8042\n82297 100000\n37596 56564\n31336 47184\n73326 100000\n33831 50900\n32180 48455\n32335 48691\n74539 100000\n12369 18633\n20290 30594\n17755 26756\n63675 95500\n89281 100000\n7654 11502\n29615 44603\n3454 5218\n29905 45047\n88538 100000\n93651 100000\n6493 9761\n62544 93810\n39956 60103\n13249 19955\n77903 100000\n66089 99152\n21430 32292\n51396 77152\n1573 2396\n3283 4963\n83778 100000\n85851 100000\n29190 43980\n17655 26599\n19760 29793\n3100 4685\n69467 100000\n29440 44342\n55947 83935\n21231 31993\n66362 99574\n22817 34398\n83680 100000\n74846 100000\n53591 80404\n78977 100000\n81640 100000\n83492 100000\n48834 73317\n68474 100000\n79516 100000\n45858 68892\n36873 55485\n46623 70026\n55068 82612\n60864 91304\n62247 93373\n14239 21463\n37416 56295\n6431 9662\n28639 43153\n22294 33615\n3817 5747\n58744 88139\n33328 50156\n73020 100000\n13585 20468\n73837 100000\n6909 10378\n14138 21311\n18385 27690\n14880 22432\n83609 100000\n83920 100000\n75151 100000\n13709 20651\n53482 80237\n67587 100000\n51563 77408\n57788 86689\n41797 62835\n368 567\n58778 88191\n35080 52767\n16494 24857\n69979 100000\n82096 100000\n70904 100000\n6738 10129\n17497 26371\n49577 74423\n25079 37796\n15938 24020\n89040 100000\n81370 100000\n50520 75840\n9311 14011\n20143 30379\n1754 2668\n87509 100000\n39775 59836\n65430 98144\n81119 100000\n43083 64750\n86545 100000\n36317 54622\n89976 100000\n89875 100000\n29644 44645\n14934 22511\n86169 100000\n78876 100000\n10948 16471\n23129 34858\n94780 100000\n23401 35289\n40894 61491\n94300 100000\n27903 42029\n56890 85331\n36163 54387\n13928 20990\n67038 100000\n52657 79008\n8626 12983\n2967 4483\n7607 11433\n55700 83558\n59325 89018\n18146 27338\n65902 98868\n43792 65820\n42346 63643\n51134 76768\n4568 6870\n77788 100000\n30575 46055\n22247 33540\n94700 100000\n35068 52750\n10025 15093\n54512 81785\n30202 45495\n89593 100000\n16926 25517\n28842 43468\n62627 93937\n25542 38485\n33661 50642\n79780 100000\n16822 25358\n10429 15696\n9536 14358\n65208 97805\n97116 100000\n1470 2249\n87283 100000\n3294 4977\n69896 100000\n76219 100000\n1422 2179\n15543 23418\n49459 74252\n66886 100000\n65011 97512\n49852 74829\n57382 86076\n69689 100000\n42200 63439\n83975 100000\n72829 100000\n79850 100000\n12470 18786\n40037 60224\n44509 66858\n91173 100000\n23711 35749\n35453 53326\n536 822\n96511 100000\n61767 92639\n83707 100000\n79857 100000\n12446 18751\n83088 100000\n21941 33075\n15937 24019\n27066 40759\n85619 100000\n30333 45689\n46265 69494\n96562 100000\n85674 100000\n95550 100000\n46177 69366\n71697 100000\n6480 9741\n2948 4457\n36783 55348\n84604 100000\n75255 100000\n43763 65778\n29814 44908\n92031 100000\n35403 53253\n64956 97432\n12959 19508\n63984 95969\n14398 21704\n26835 40412\n40406 60769\n93465 100000\n68537 100000\n75033 100000\n72142 100000\n76144 100000\n52984 79494\n56888 85327\n31146 46911\n34268 51540\n55386 83081\n90545 100000\n19981 30135\n10595 15937\n55542 83322\n125 188\n24893 37511\n52982 79491\n78111 100000\n71380 100000\n73427 100000\n85561 100000\n39528 59453\n55066 82608\n33947 51069\n13898 20940\n93167 100000\n7273 10924\n34897 52491\n57616 86434\n37672 56678\n67237 100000\n96256 100000\n55972 83970\n39509 59424\n38285 57604\n58792 88210\n38442 57835\n12454 18763\n68869 100000\n99938 100000\n6023 9057\n31992 48171\n71704 100000\n6285 9446\n10171 15311\n41322 62128\n30855 46474\n95699 100000\n94218 100000\n22977 34640\n56348 84521\n5771 8675\n91550 100000\n8875 13355\n47956 72015\n58239 87368\n55549 83332\n79499 100000\n8516 12810\n41421 62268\n42908 64486\n26972 40617\n77737 100000\n40762 61296\n95765 100000\n21497 32397\n47693 71610\n7270 10919\n87912 100000\n51653 77544\n91629 100000\n12075 18193\n26558 39988\n80981 100000\n2359 3573\n66794 100000\n36320 54626\n65747 98627\n86228 100000\n78382 100000\n54474 81726\n58946 88441\n30321 45671\n52232 78385\n20030 30205\n25797 38863\n26883 40487\n44849 67376\n87575 100000\n11896 17926\n7590 11403\n49600 74458\n31192 46979\n20430 30809\n48479 72787\n16850 25399\n69103 100000\n26237 39513\n50213 75373\n88233 100000\n10471 15758\n4817 7240\n19386 29219\n89146 100000\n32269 48590\n7317 10990\n28583 43068\n17001 25628\n13407 20192\n70504 100000\n95504 100000\n16224 24457\n3891 5850\n50241 75420\n36312 54615\n23679 35702\n17811 26838\n86229 100000\n50883 76385\n64443 96646\n79083 100000\n65966 98964\n48946 73482\n93291 100000\n89770 100000\n83420 100000\n46715 70150\n96090 100000\n45958 69040\n16779 25290\n26527 39948\n12031 18129\n5147 7725\n53284 79940\n86968 100000\n68391 100000\n53987 81015\n33263 50063\n16244 24486\n93443 100000\n87814 100000\n26219 39489\n7883 11848\n64187 96277\n30622 46121\n90886 100000\n34719 52218\n35513 53415\n97159 100000\n93816 100000\n59823 89758\n26464 39854\n6576 9880\n43760 65774\n23681 35706\n66464 99722\n52025 78094\n3484 5267\n75773 100000\n8268 12430\n9653 14532\n51245 76927\n58432 87669\n79657 100000\n35592 53537\n32618 49113\n93361 100000\n29952 45118\n5738 8620\n41531 62435\n50541 75870\n75930 100000\n19523 29427\n44568 66954\n46465 69791\n24854 37452\n8056 12113\n26503 39916\n79703 100000\n25510 38442\n97214 100000\n3924 5896\n85474 100000\n1176 1797\n89401 100000\n5848 8786\n99685 100000\n99666 100000\n50258 75444\n57138 85692\n20018 30190\n57793 86698\n80732 100000\n83042 100000\n2957 4469\n13633 20537\n36531 54958\n72651 100000\n80386 100000\n8136 12236\n3914 5881\n27652 41651\n36620 55097\n14526 21898\n34299 51590\n28973 43654\n97525 100000\n55232 82856\n39961 60112\n11013 16571\n72174 100000\n90456 100000\n1838 2799\n37433 56323\n39863 59962\n39655 59651\n54354 81552\n81383 100000\n22720 34253\n21716 32739\n17764 26770\n69350 100000\n11486 17307\n45799 68808\n93520 100000\n53654 80502\n19251 29004\n84546 100000\n91760 100000\n34659 52127\n20114 30334\n88759 100000\n12812 19295\n90394 100000\n12820 19306\n54083 81159\n15480 23319\n85396 100000\n51252 76938\n39410 59279\n55118 82687\n57635 86466\n76051 100000\n38665 58167\n77656 100000\n66151 99249\n37404 56276\n55071 82617\n30101 45346\n70373 100000\n34723 52222\n57987 86992\n26397 39757\n16916 25503\n40856 61434\n61606 92386\n6637 9972\n51876 77874\n972 1486\n50828 76303\n41279 62067\n3969 5962\n31630 47647\n4649 6984\n99315 100000\n52521 78811\n41924 63028\n58689 88052\n55705 83567\n25701 38715\n37352 56195\n80808 100000\n4449 6690\n41828 62880\n9359 14080\n59916 89899\n39182 58938\n81021 100000\n87053 100000\n57444 86170\n51864 77857\n98415 100000\n85094 100000\n88641 100000\n50448 75738\n97814 100000\n39640 59629\n83612 100000\n21414 32266\n12473 18791\n74489 100000\n9650 14527\n58569 87867\n67616 100000\n3684 5551\n34430 51788\n1455 2227\n66398 99629\n32028 48226\n54537 81821\n17581 26491\n92620 100000\n91158 100000\n47816 71805\n8688 13075\n96801 100000\n31701 47753\n10433 15701\n49570 74412\n28918 43575\n9872 14860\n94923 100000\n34638 52094\n4171 6261\n99602 100000\n37628 56612\n80786 100000\n72650 100000\n85141 100000\n4857 7297\n42689 64157\n38368 57726\n84928 100000\n11859 17872\n71148 100000\n92388 100000\n99137 100000\n64673 96998\n47679 71589\n44829 67344\n31517 47465\n57710 86576\n98593 100000\n36801 55375\n30716 46265\n76571 100000\n36515 54932\n34413 51764\n8942 13456\n91265 100000\n94728 100000\n95404 100000\n80281 100000\n83690 100000\n64035 96051\n68701 100000\n94055 100000\n62317 93478\n95606 100000\n7413 11141\n4411 6629\n31679 47721\n95744 100000\n53329 80002\n8156 12267\n30517 45968\n26828 40402\n74056 100000\n16570 24973\n46538 69898\n52475 78743\n67025 100000\n61530 92275\n12858 19358\n9954 14987\n89637 100000\n73941 100000\n19905 30020\n89771 100000\n81964 100000\n20688 31199\n8550 12862\n11808 17793\n93426 100000\n26440 39817\n37591 56555\n52628 78969\n70262 100000\n38395 57768\n93743 100000\n25123 37857\n93217 100000\n21117 31828\n20343 30671\n28835 43457\n12250 18450\n16665 25114\n72723 100000\n19596 29541\n45538 68408\n43613 65546\n40281 60585\n64854 97278\n93017 100000\n80348 100000\n21745 32783\n36593 55049\n31993 48173\n7782 11693\n43677 65645\n97854 100000\n43078 64743\n27857 41956\n79028 100000\n4641 6972\n88897 100000\n88453 100000\n88783 100000\n89192 100000\n79871 100000\n4923 7399\n9831 14796\n29786 44868\n34841 52404\n64420 96613\n89953 100000\n62917 94364\n34019 51181\n18188 27401\n86281 100000\n87841 100000\n66958 100000\n98591 100000\n4802 7215\n47628 71511\n79982 100000\n53627 80458\n709 1090\n92116 100000\n63300 94937\n61289 91931\n81192 100000\n59252 88899\n86280 100000\n22416 33798\n34131 51339\n94130 100000\n25417 38295\n13876 20906\n17663 26611\n92562 100000\n78208 100000\n59738 89631\n46975 70542\n66298 99476\n19146 28840\n61756 92621\n46561 69936\n58856 88304\n11205 16866\n66742 100000\n56595 84897\n15838 23878\n44112 66282\n59895 89872\n49270 73970\n91484 100000\n46868 70380\n16547 24937\n67170 100000\n902 1385\n99155 100000\n98192 100000\n87141 100000\n18344 27637\n63059 94578\n90286 100000\n49990 75031\n49272 73974\n93060 100000\n70192 100000\n10396 15650\n96500 100000\n28654 43175\n3690 5560\n63139 94700\n28119 42354\n96981 100000\n68694 100000\n41307 62107\n45543 68417\n53022 79550\n90854 100000\n77523 100000\n1235 1882\n95321 100000\n32258 48574\n85818 100000\n382 587\n19998 30160\n74401 100000\n35035 52701\n45384 68174\n29503 44432\n25761 38807\n31583 47570\n92215 100000\n59064 88616\n46916 70453\n28112 42343\n58670 88023\n32772 49339\n8372 12590\n19360 29179\n94935 100000\n73129 100000\n57133 85684\n92469 100000\n82595 100000\n58006 87021\n57908 86869\n85092 100000\n92725 100000\n55151 82734\n25120 37852\n31051 46762\n46047 69174\n8445 12699\n51892 77900\n8949 13467\n4147 6221\n45789 68793\n9178 13803\n35503 53400\n82823 100000\n75031 100000\n41509 62403\n89905 100000\n29502 44431\n1614 2457\n90867 100000\n20315 30629\n80909 100000\n16093 24253\n70706 100000\n60943 91420\n59105 88677\n61781 92659\n62295 93446\n1151 1759\n97016 100000\n72155 100000\n62977 94456\n86764 100000\n20715 31240\n82181 100000\n13531 20385\n45093 67745\n19089 28756\n79494 100000\n32588 49070\n10522 15831\n95374 100000\n84648 100000\n16929 25521\n82688 100000\n61322 91972\n55862 83807\n93185 100000\n59546 89336\n62260 93394\n18088 27255\n35144 52865\n12574 18940\n74477 100000\n4067 6109\n32498 48938\n32515 48965\n33043 49740\n51237 76917\n92592 100000\n95653 100000\n15767 23765\n43103 64783\n33750 50779\n6095 9168\n79898 100000\n58151 87240\n41363 62183\n3623 5462\n7851 11801\n71397 100000\n13355 20111\n54426 81661\n3285 4965\n38491 57908\n3625 5465\n59487 89252\n79473 100000\n939 1433\n37878 56990\n19607 29560\n21920 33044\n75565 100000\n70487 100000\n41267 62050\n58963 88465\n77955 100000\n63335 94994\n72607 100000\n72405 100000\n70556 100000\n97219 100000\n56377 84569\n8566 12886\n61111 91658\n74451 100000\n42239 63496\n69877 100000\n37853 56953\n49204 73873\n82936 100000\n2093 3178\n10696 16095\n12299 18527\n7301 10964\n53402 80118\n51097 76705\n13825 20827\n80331 100000\n75157 100000\n81785 100000\n90921 100000\n2898 4378\n8673 13053\n23949 36101\n73587 100000\n828 1272\n49010 73576\n6522 9804\n54307 81488\n23275 35083\n27916 42048\n83418 100000\n89209 100000\n26218 39487\n51867 77860\n15692 23648\n71219 100000\n73332 100000\n41494 62380\n90544 100000\n72642 100000\n13467 20288\n59859 89812\n98783 100000\n71293 100000\n13193 19869\n12992 19560\n84824 100000\n59417 89152\n83652 100000\n59969 89975\n76946 100000\n14226 21442\n27297 41106\n96741 100000\n86827 100000\n68765 100000\n35456 53331\n24563 37028\n67295 100000\n51412 77177\n24276 36608\n48215 72407\n60245 90385\n23879 35994\n35025 52687\n53666 80519\n55533 83307\n10155 15292\n34492 51880\n81449 100000\n62624 93933\n64478 96699\n95813 100000\n90371 100000\n76301 100000\n87095 100000\n18580 27994\n63448 95162\n967 1480\n80009 100000\n68563 100000\n84377 100000\n86106 100000\n47075 70691\n95449 100000\n95007 100000\n92794 100000\n29499 44426\n25370 38223\n81260 100000\n84842 100000\n80505 100000\n7396 11115\n31351 47206\n57725 86597\n18016 27142\n5576 8372\n93450 100000\n56946 85417\n92353 100000\n19766 29802\n74887 100000\n18090 27258\n18433 27764\n49191 73851\n56519 84783\n23600 35580\n22393 33767\n76099 100000\n15583 23482\n37274 56074\n93955 100000\n84176 100000\n41251 62026\n54979 82480\n24189 36468\n49976 75009\n31596 47594\n69837 100000\n97092 100000\n66369 99584\n73026 100000\n89383 100000\n33563 50494\n72390 100000\n93447 100000\n97312 100000\n28772 43359\n13744 20706\n22744 34289\n58320 87489\n26140 39374\n45860 68895\n49705 74611\n36676 55184\n12385 18657\n50057 75131\n25971 39116\n40523 60944\n46729 70170\n48415 72694\n10723 16137\n73719 100000\n64194 96287\n56889 85329\n95527 100000\n44127 66302\n6470 9725\n80173 100000\n82886 100000\n30180 45461\n95141 100000\n51511 77330\n52875 79333\n94930 100000\n86093 100000\n42514 63898\n60885 91334\n71018 100000\n73483 100000\n64566 96838\n56628 84943\n17005 25635\n47347 71096\n95070 100000\n68447 100000\n79520 100000\n25810 38882\n76837 100000\n50253 75435\n35173 52914\n76633 100000\n68319 100000\n5858 8799\n74928 100000\n86991 100000\n55683 83533\n42503 63879\n81580 100000\n12752 19211\n10710 16115\n26541 39967\n10973 16512\n31353 47210\n52092 78182\n74841 100000\n64320 96469\n62622 93931\n50192 75340\n8583 12915\n32460 48881\n55104 82665\n17751 26748\n81445 100000\n36823 55408\n23924 36062\n99650 100000\n75726 100000\n63945 95907\n73250 100000\n12776 19243\n69498 100000\n32135 48386\n88517 100000\n4064 6105\n22035 33215\n14752 22240\n45537 68407\n90098 100000\n69082 100000\n93389 100000\n8810 13261\n91425 100000\n17760 26764\n28668 43200\n24942 37584\n58485 87745\n10770 16212\n9300 13994\n83497 100000\n3211 4852\n13260 19971\n76386 100000\n54577 81882\n3921 5891\n47818 71808\n1834 2792\n18855 28396\n23694 35722\n99214 100000\n51493 77302\n39920 60052\n4075 6121\n64472 96690\n94713 100000\n2904 4388\n39011 58680\n33083 49796\n98165 100000\n22117 33345\n49336 74069\n18947 28536\n40678 61173\n38936 58567\n56039 84072\n18386 27691\n93149 100000\n38747 58283\n58421 87651\n10684 16076\n43537 65430\n28725 43288\n86561 100000\n6638 9974\n98216 100000\n85401 100000\n7550 11347\n33845 50919\n45985 69080\n19707 29712\n52842 79281\n52410 78651\n65177 97757\n30527 45985\n79401 100000\n85479 100000\n12378 18646\n67854 100000\n4242 6369\n21830 32909\n74381 100000\n19965 30115\n91152 100000\n92265 100000\n24764 37322\n64794 97190\n71063 100000\n51617 77493\n52470 78738\n25259 38061\n36767 55324\n48327 72568\n30107 45354\n73661 100000\n42893 64463\n87757 100000\n87418 100000\n66404 99639\n41937 63050\n96498 100000\n5010 7521\n75082 100000\n83081 100000\n3004 4540\n71949 100000\n22261 33564\n92376 100000\n13773 20751\n80280 100000\n78616 100000\n63216 94814\n93260 100000\n89960 100000\n95127 100000\n34708 52201\n14053 21177\n18445 27785\n78682 100000\n61356 92023\n26655 40137\n16729 25210\n2697 4081\n34726 52228\n2972 4491\n67694 100000\n46316 69566\n10095 15198\n56141 84213\n49065 73658\n18988 28596\n50958 76500\n63381 95066\n60848 91281\n71861 100000\n426 655\n86155 100000\n44594 66991\n99880 100000\n25011 37692\n30386 45770\n78970 100000\n76333 100000\n84015 100000\n40192 60448\n68281 100000\n15986 24089\n91156 100000\n44198 66404\n1313 2002\n89002 100000\n56082 84125\n27729 41760\n56893 85336\n59629 89463\n9030 13587\n17273 26045\n57132 85683\n79046 100000\n82533 100000\n53820 80756\n72502 100000\n68265 100000\n83704 100000\n51078 76677\n19789 29837\n26222 39494\n62228 93345\n45409 68211\n70826 100000\n42414 63751\n68782 100000\n42661 64119\n21639 32618\n363 559\n92171 100000\n36144 54361\n46212 69419\n33801 50858\n51125 76752\n88612 100000\n54877 82327\n56835 85250\n53844 80793\n19584 29522\n66518 99805\n31628 47644\n21694 32705\n84885 100000\n23952 36105\n19762 29796\n30049 45266\n80013 100000\n10708 16112\n43555 65460\n19966 30116\n75306 100000\n29695 44723\n32270 48592\n78454 100000\n94253 100000\n72036 100000\n623 957\n33531 50450\n30919 46575\n32015 48207\n26287 39593\n61988 92971\n52993 79508\n26229 39503\n65093 97634\n75311 100000\n72864 100000\n32976 49641\n42936 64531\n64871 97305\n66847 100000\n95935 100000\n97462 100000\n46855 70363\n74021 100000\n55032 82557\n65301 97942\n10542 15860\n72770 100000\n12261 18468\n926 1416\n78427 100000\n85343 100000\n60704 91062\n21024 31694\n96211 100000\n40418 60787\n63850 95768\n67506 100000\n46082 69226\n42221 63472\n59248 88894\n37819 56896\n65072 97601\n1627 2479\n21644 32626\n20354 30690\n69260 100000\n94374 100000\n74807 100000\n85999 100000\n40120 60346\n62700 94044\n30942 46608\n78860 100000\n41980 63117\n5817 8741\n89533 100000\n64220 96329\n21331 32146\n32212 48506\n25228 38012\n20859 31453\n4612 6930\n87804 100000\n56553 84837\n45295 68042\n63176 94755\n90003 100000\n68914 100000\n885 1358\n7722 11606\n7004 10515\n39365 59212\n61512 92248\n2947 4455\n53716 80597\n78290 100000\n82549 100000\n98714 100000\n11385 17151\n9664 14551\n58352 87538\n91007 100000\n20239 30521\n34843 52407\n98746 100000\n53687 80551\n74310 100000\n39339 59174\n79756 100000\n62770 94146\n47095 70725\n56919 85376\n52217 78362\n49931 74941\n74175 100000\n61799 92686\n8742 13155\n25222 38003\n42676 64139\n76767 100000\n22524 33957\n21581 32532\n18372 27671\n89343 100000\n72786 100000\n37159 55913\n19591 29532\n43118 64806\n58130 87208\n53623 80452\n88382 100000\n8940 13454\n17493 26364\n51984 78031\n81118 100000\n10544 15862\n70865 100000\n16029 24157\n75670 100000\n16085 24241\n45580 68475\n74895 100000\n77740 100000\n89132 100000\n58712 88088\n56147 84220\n27640 41633\n20050 30238\n12712 19153\n83097 100000\n45747 68732\n20557 31009\n37548 56493\n68140 100000\n31300 47132\n874 1341\n71528 100000\n1272 1937\n29130 43886\n88110 100000\n65465 98194\n62271 93411\n81166 100000\n99353 100000\n10108 15218\n58725 88108\n51540 77372\n83792 100000\n57783 86681\n34497 51887\n30087 45324\n59027 88558\n12052 18159\n23411 35306\n12160 18316\n47538 71377\n40456 60844\n49491 74302\n29107 43855\n89076 100000\n70510 100000\n62183 93272\n9035 13595\n24797 37369\n79985 100000\n3441 5200\n91648 100000\n51591 77450\n24596 37073\n50810 76279\n90153 100000\n17679 26635\n40112 60334\n47025 70614\n59624 89455\n13154 19808\n40781 61326\n84315 100000\n90890 100000\n44882 67430\n79720 100000\n36729 55265\n69486 100000\n59698 89573\n55787 83689\n8031 12077\n20061 30256\n93933 100000\n97733 100000\n59114 88690\n17781 26794\n12607 18993\n11181 16828\n80686 100000\n79075 100000\n97966 100000\n33602 50555\n33599 50550\n94764 100000\n39521 59441\n57089 85621\n55575 83372\n45173 67863\n73290 100000\n60712 91077\n10551 15874\n67080 100000\n52291 78476\n89842 100000\n30693 46233\n24399 36794\n64832 97247\n84242 100000\n77025 100000\n69354 100000\n20751 31291\n45262 67992\n96173 100000\n1342 2048\n20470 30871\n29542 44492\n62117 93163\n41950 63070\n78819 100000\n73066 100000\n84906 100000\n93990 100000\n4122 6186\n82087 100000\n56212 84312\n91195 100000\n81226 100000\n1409 2160\n1757 2673\n53370 80068\n44727 67192\n30663 46186\n53618 80444\n29543 44493\n49825 74790\n35203 52963\n3707 5582\n45706 68673\n67978 100000\n76919 100000\n18976 28577\n86831 100000\n18022 27151\n46201 69404\n93275 100000\n50836 76315\n63549 95310\n69475 100000\n24102 36338\n87414 100000\n644 987\n92726 100000\n3030 4579\n4494 6758\n21233 31995\n2282 3455\n53919 80909\n33334 50167\n68022 100000\n5669 8513\n14012 21121\n35676 53663\n7649 11496\n64455 96662\n63887 95824\n96549 100000\n8799 13242\n66110 99182\n99342 100000\n329 503\n54399 81620\n8505 12791\n6863 10308\n44283 66528\n47187 70852\n33107 49831\n3983 5982\n91851 100000\n18114 27292\n53905 80888\n83689 100000\n34709 52203\n41136 61853\n96622 100000\n45223 67935\n83957 100000\n5466 8207\n95904 100000\n82672 100000\n10057 15146\n74588 100000\n3276 4951\n46835 70334\n42080 63258\n58107 87172\n32325 48675\n82484 100000\n6722 10100\n41291 62084\n90376 100000\n9771 14707\n95322 100000\n43258 65019\n87427 100000\n1999 3040\n9540 14365\n82459 100000\n86839 100000\n32836 49430\n44501 66848\n11901 17934\n76505 100000\n87401 100000\n49646 74523\n90427 100000\n64762 97141\n50095 75191\n80971 100000\n84038 100000\n84891 100000\n88804 100000\n62417 93628\n40319 60638\n68465 100000\n84379 100000\n40484 60884\n64979 97463\n35980 54117\n99604 100000\n50896 76405\n30276 45602\n9121 13719\n91590 100000\n67703 100000\n38768 58316\n40874 61462\n45534 68402\n99255 100000\n32906 49540\n36509 54922\n85749 100000\n37250 56041\n53374 80074\n56352 84528\n59857 89809\n41720 62718\n42772 64282\n79674 100000\n46525 69879\n84727 100000\n88992 100000\n62237 93359\n45061 67696\n30280 45609\n78772 100000\n12358 18616\n17624 26556\n42486 63855\n49074 73671\n95028 100000\n3412 5153\n71391 100000\n289 443\n50776 76227\n60483 90737\n16531 24915\n6473 9731\n13349 20100\n55242 82869\n21977 33130\n88611 100000\n40787 61332\n15274 23016\n6387 9596\n80940 100000\n51787 77745\n96221 100000\n52852 79296\n65032 97544\n59914 89897\n13594 20479\n88777 100000\n40061 60259\n54615 81942\n82884 100000\n69591 100000\n89297 100000\n51400 77160\n15025 22642\n73740 100000\n94814 100000\n11538 17385\n73069 100000\n3542 5347\n42032 63189\n10604 15951\n93966 100000\n39321 59144\n96808 100000\n56304 84453\n21698 32712\n12135 18276\n44218 66437\n49550 74385\n75834 100000\n39605 59574\n40069 60273\n84581 100000\n29529 44472\n73891 100000\n65162 97735\n58043 87075\n43145 64845\n94396 100000\n7547 11341\n33996 51145\n12496 18828\n32010 48198\n19035 28671\n81610 100000\n84710 100000\n39925 60061\n60242 90380\n81843 100000\n36244 54510\n80235 100000\n56430 84644\n93853 100000\n64622 96920\n70003 100000\n37109 55834\n16257 24507\n39136 58870\n19744 29768\n62938 94396\n70614 100000\n42957 64563\n59428 89167\n60843 91272\n19674 29661\n37155 55907\n77554 100000\n72354 100000\n76036 100000\n91800 100000\n5533 8308\n41328 62138\n46168 69354\n8948 13466\n95876 100000\n67015 100000\n33806 50865\n78701 100000\n44124 66298\n44964 67552\n12800 19278\n77421 100000\n738 1135\n4735 7112\n38756 58297\n69538 100000\n89096 100000\n91932 100000\n59046 88589\n53547 80341\n23246 35037\n36441 54820\n46345 69610\n61851 92764\n81944 100000\n75743 100000\n33672 50659\n31932 48088\n33001 49675\n49755 74686\n78496 100000\n80673 100000\n19826 29892\n23227 35011\n3510 5304\n36570 55015\n4280 6427\n40458 60848\n2566 3885\n29144 43907\n92219 100000\n24498 36942\n34374 51705\n30811 46414\n46443 69758\n69300 100000\n97166 100000\n622 955\n12625 19022\n36721 55253\n47547 71391\n25425 38307\n33723 50738\n38502 57923\n13101 19732\n48619 72989\n38004 57184\n56211 84310\n90883 100000\n80847 100000\n42350 63650\n96479 100000\n76476 100000\n19583 29520\n80366 100000\n24909 37536\n50326 75550\n54493 81759\n25686 38691\n70743 100000\n90840 100000\n87850 100000\n59490 89256\n77207 100000\n91617 100000\n1976 3007\n76260 100000\n43895 65971\n5985 8998\n40290 60597\n24979 37643\n49392 74153\n35766 53797\n33611 50567\n28666 43197\n77497 100000\n81511 100000\n13862 20884\n38494 57912\n20976 31621\n34896 52489\n11707 17644\n90111 100000\n78069 100000\n35831 53896\n22037 33217\n29639 44638\n54380 81591\n29690 44715\n99044 100000\n43371 65194\n35230 52999\n26362 39704\n85223 100000\n22099 33317\n58709 88084\n70293 100000\n71236 100000\n86963 100000\n82687 100000\n23611 35595\n30930 46591\n42917 64498\n802 1235\n97202 100000\n44003 66128\n47402 71175\n11511 17344\n61783 92662\n82008 100000\n23440 35350\n39927 60063\n10645 16014\n94042 100000\n78998 100000\n70837 100000\n80809 100000\n40166 60410\n6889 10347\n44735 67203\n28909 43561\n41330 62141\n49141 73775\n57026 85527\n53808 80738\n97383 100000\n66833 100000\n68324 100000\n56275 84405\n75224 100000\n31384 47260\n70613 100000\n47439 71231\n94395 100000\n14770 22267\n89767 100000\n6093 9165\n56688 85037\n49885 74878\n93082 100000\n65410 98115\n27349 41190\n24165 36429\n95754 100000\n36210 54458\n93974 100000\n18500 27872\n77907 100000\n3593 5420\n69390 100000\n37486 56402\n37320 56144\n36934 55580\n95207 100000\n1843 2807\n81754 100000\n31514 47460\n42383 63704\n7827 11762\n85288 100000\n77911 100000\n26726 40251\n87333 100000\n11785 17760\n8329 12525\n72772 100000\n46481 69817\n50412 75684\n21271 32053\n78612 100000\n95800 100000\n8893 13381\n71492 100000\n10372 15613\n83016 100000\n35787 53829\n22871 34479\n75810 100000\n97915 100000\n39675 59681\n47921 71961\n65221 97822\n23245 35035\n36877 55491\n63499 95239\n3208 4849\n64360 96524\n6038 9080\n11497 17322\n7773 11683\n45048 67677\n24423 36833\n24392 36785\n54381 81593\n94502 100000\n23114 34838\n41542 62452\n60240 90377\n35346 53166\n68284 100000\n12163 18321\n87444 100000\n36389 54739\n30621 46120\n44460 66790\n26207 39473\n32215 48511\n4826 7251\n20480 30888\n85646 100000\n21145 31869\n69232 100000\n31636 47654\n65544 98318\n92511 100000\n31074 46801\n32361 48731\n97209 100000\n81061 100000\n25666 38660\n38206 57482\n88817 100000\n67061 100000\n5090 7646\n65811 98723\n42312 63596\n6537 9825\n99063 100000\n39429 59305\n85104 100000\n86481 100000\n88394 100000\n50276 75473\n45249 67972\n5994 9010\n79533 100000\n43151 64854\n78203 100000\n3847 5786\n42898 64470\n4316 6488\n16074 24226\n41871 62950\n37731 56771\n63119 94671\n16433 24766\n44228 66449\n11405 17185\n80583 100000\n76750 100000\n41644 62606\n56030 84059\n80277 100000\n60800 91210\n84137 100000\n7640 11482\n12684 19108\n79098 100000\n16373 24678\n54367 81571\n15127 22798\n30780 46365\n52028 78098\n75879 100000\n45983 69077\n53446 80183\n40960 61591\n26037 39216\n34282 51563\n82444 100000\n58148 87237\n84829 100000\n18698 28171\n38473 57882\n63510 95253\n3451 5215\n44515 66865\n60707 91068\n18783 28293\n79529 100000\n79785 100000\n50106 75207\n9288 13976\n20511 30935\n73567 100000\n42282 63554\n19255 29008\n79173 100000\n98020 100000\n10160 15298\n62270 93409\n39984 60146\n95775 100000\n53525 80305\n55159 82743\n1494 2288\n23699 35729\n46282 69517\n38585 58044\n72960 100000\n7295 10956\n2127 3227\n36467 54859\n27211 40977\n90254 100000\n73506 100000\n60453 90690\n33462 50352\n82364 100000\n91832 100000\n27934 42077\n97663 100000\n7043 10570\n54630 81964\n26482 39883\n42110 63306\n29538 44487\n87556 100000\n19586 29524\n39740 59784\n22579 34042\n75467 100000\n50599 75956\n60814 91233\n33429 50304\n49127 73755\n21948 33084\n56828 85237\n48684 73091\n31315 47151\n99878 100000\n32683 49211\n85044 100000\n86321 100000\n32997 49670\n4912 7382\n48367 72625\n42510 63891\n60174 90273\n31164 46940\n38970 58618\n13591 20475\n35451 53322\n37451 56353\n45996 69096\n33873 50959\n76516 100000\n30425 45829\n44347 66622\n11491 17312\n8118 12207\n27710 41734\n70580 100000\n5590 8395\n71930 100000\n57871 86813\n86182 100000\n18999 28616\n11154 16786\n44010 66136\n38615 58090\n92112 100000\n77050 100000\n67476 100000\n58248 87380\n17718 26697\n97991 100000\n42615 64054\n46034 69153\n20836 31416\n15066 22702\n72308 100000\n23422 35323\n46392 69684\n86910 100000\n27310 41127\n59210 88840\n42179 63405\n85852 100000\n10919 16430\n30017 45219\n14379 21668\n13595 20480\n40446 60829\n58876 88331\n24848 37444\n15418 23221\n39687 59699\n57355 86034\n47982 72054\n27195 40952\n63833 95743\n39065 58762\n34158 51375\n88631 100000\n58386 87592\n27918 42051\n61389 92068\n15730 23707\n46184 69376\n9410 14161\n17861 26915\n26052 39239\n48253 72462\n60511 90779\n30578 46061\n17185 25916\n10529 15842\n26383 39736\n19414 29265\n33481 50376\n88083 100000\n28881 43521\n31036 46739\n48888 73401\n347 533\n74181 100000\n88594 100000\n96527 100000\n98169 100000\n77718 100000\n27388 41251\n3164 4784\n67736 100000\n89499 100000\n90792 100000\n69854 100000\n38349 57698\n17066 25729\n46425 69732\n21490 32384\n60550 90834\n69512 100000\n58275 87418\n58023 87045\n8314 12501\n55097 82654\n87670 100000\n98675 100000\n70074 100000\n79627 100000\n85697 100000\n1526 2328\n70264 100000\n81059 100000\n32081 48304\n66963 100000\n90004 100000\n6793 10209\n50506 75819\n45989 69086\n47770 71732\n32937 49585\n80516 100000\n72220 100000\n65928 98908\n19189 28907\n99519 100000\n65038 97552\n67853 100000\n62507 93758\n42096 63283\n8130 12227\n47448 71245\n12223 18408\n12924 19455\n69835 100000\n81491 100000\n79978 100000\n50758 76198\n35606 53557\n99501 100000\n70209 100000\n818 1258\n83297 100000\n5019 7536\n21674 32672\n26029 39203\n81275 100000\n63077 94605\n84930 100000\n14090 21237\n39913 60041\n95562 100000\n86591 100000\n31119 46867\n47178 70843\n88063 100000\n16693 25158\n32196 48479\n41736 62741\n68455 100000\n53180 79792\n50952 76492\n88106 100000\n17870 26929\n44041 66179\n33128 49859\n19122 28802\n44819 67329\n47021 70608\n73875 100000\n27374 41228\n9739 14665\n7506 11278\n35838 53907\n79297 100000\n95565 100000\n29466 44377\n59351 89061\n47856 71864\n74758 100000\n21868 32966\n79347 100000\n65553 98331\n47557 71407\n66128 99212\n78282 100000\n43372 65195\n50992 76551\n23400 35287\n25826 38907\n75297 100000\n98012 100000\n25958 39098\n24903 37527\n84587 100000\n71764 100000\n14025 21138\n52451 78709\n41486 62367\n61794 92681\n81375 100000\n3129 4727\n44255 66487\n67046 100000\n4968 7460\n15217 22927\n56337 84504\n38712 58232\n31825 47930\n7728 11616\n86750 100000\n77081 100000\n23812 35892\n99796 100000\n45172 67861\n85681 100000\n9859 14842\n39544 59477\n68449 100000\n39098 58809\n30004 45197\n6116 9192\n53970 80992\n90468 100000\n7545 11338\n56143 84215\n37870 56978\n22689 34210\n6408 9628\n39122 58847\n78917 100000\n75652 100000\n68416 100000\n77057 100000\n26821 40393\n7299 10962\n66850 100000\n16469 24819\n82616 100000\n15093 22742\n51968 78009\n88707 100000\n80551 100000\n76286 100000\n45559 68443\n83499 100000\n20674 31181\n37537 56479\n68364 100000\n21361 32192\n52426 78674\n72808 100000\n51299 77008\n81214 100000\n25316 38143\n55971 83969\n64073 96112\n85261 100000\n78887 100000\n51376 77123\n75004 100000\n69871 100000\n23584 35558\n45744 68727\n94940 100000\n47822 71813\n966 1479\n27501 41418\n84226 100000\n40105 60323\n51863 77855\n32406 48799\n77964 100000\n78919 100000\n88229 100000\n10014 15079\n53928 80922\n55412 83123\n83921 100000\n89476 100000\n45267 67999\n1725 2628\n7781 11692\n9322 14028\n10634 15997\n73185 100000\n19114 28791\n48180 72357\n47364 71121\n83983 100000\n23926 36065\n60283 90441\n91374 100000\n77755 100000\n11224 16894\n4245 6374\n78246 100000\n19009 28632\n91022 100000\n9312 14012\n12060 18172\n84933 100000\n38480 57893\n6551 9846\n73267 100000\n49287 73993\n22483 33899\n59889 89861\n60110 90181\n92714 100000\n57465 86203\n32478 48912\n33525 50441\n85378 100000\n8993 13538\n12722 19169\n61008 91514\n80313 100000\n59148 88741\n13945 21022\n86726 100000\n2547 3858\n11548 17400\n79164 100000\n70497 100000\n99526 100000\n24496 36939\n34021 51184\n51463 77253\n74131 100000\n75728 100000\n16937 25534\n63479 95208\n27880 41993\n21308 32110\n74716 100000\n46684 70114\n29715 44756\n76537 100000\n56067 84108\n17748 26744\n83753 100000\n31503 47444\n20460 30853\n8311 12496\n42552 63959\n87747 100000\n95277 100000\n2698 4082\n71225 100000\n53593 80408\n69937 100000\n7576 11386\n41951 63071\n79578 100000\n3816 5745\n39142 58880\n41585 62513\n68558 100000\n39491 59402\n29357 44228\n37186 55949\n20576 31035\n15046 22671\n18065 27218\n16638 25076\n10709 16113\n96831 100000\n25415 38293\n7013 10527\n81042 100000\n82426 100000\n35808 53861\n19708 29713\n42941 64539\n5291 7944\n81271 100000\n63857 95777\n27254 41039\n91456 100000\n49232 73916\n2593 3923\n41354 62172\n88543 100000\n9213 13855\n86782 100000\n41949 63069\n38282 57601\n50508 75822\n15393 23185\n9037 13599\n12675 19096\n7559 11361\n8816 13270\n78183 100000\n83613 100000\n58795 88214\n55835 83762\n26197 39457\n26389 39743\n46088 69236\n10747 16178\n39959 60108\n45437 68253\n57087 85618\n59545 89335\n7412 11139\n97014 100000\n33187 49946\n32338 48695\n79827 100000\n20560 31014\n1758 2675\n44776 67265\n42768 64277\n76232 100000\n59937 89929\n85846 100000\n83871 100000\n36863 55472\n99033 100000\n43476 65346\n97327 100000\n90385 100000\n29850 44959\n75776 100000\n63972 95949\n17501 26376\n29528 44470\n48724 73156\n6601 9919\n84562 100000\n56114 84173\n87211 100000\n22951 34599\n19406 29251\n95245 100000\n43927 66019\n75581 100000\n62753 94122\n60424 90646\n74952 100000\n69820 100000\n6558 9857\n5244 7872\n43468 65334\n35100 52800\n61142 91711\n36459 54846\n89938 100000\n33029 49717\n73671 100000\n27801 41875\n96367 100000\n16196 24415\n39929 60067\n28863 43497\n83037 100000\n7286 10944\n25625 38606\n42175 63400\n13189 19862\n22328 33666\n50684 76080\n4058 6095\n1147 1753\n9928 14950\n53262 79906\n76409 100000\n14921 22491\n30072 45300\n25712 38734\n16401 24722\n46777 70244\n30860 46484\n71856 100000\n18898 28464\n65498 98247\n15489 23334\n83321 100000\n80337 100000\n2491 3768\n32631 49130\n42135 63344\n44738 67208\n63683 95511\n76275 100000\n52697 79064\n82766 100000\n59381 89107\n29056 43780\n7910 11891\n27728 41758\n34126 51332\n66605 99935\n72748 100000\n70925 100000\n21852 32940\n66749 100000\n88795 100000\n51458 77245\n34075 51264\n99565 100000\n21045 31723\n76098 100000\n10218 15378\n14511 21875\n62926 94376\n59964 89969\n22093 33306\n66485 99754\n88742 100000\n6359 9556\n90077 100000\n71467 100000\n43325 65121\n30457 45879\n21840 32922\n26788 40344\n73422 100000\n3583 5404\n61559 92319\n37837 56926\n78058 100000\n23158 34902\n97168 100000\n43456 65316\n56098 84149\n93537 100000\n48953 73491\n2803 4238\n89217 100000\n24619 37107\n47118 70760\n57129 85679\n13558 20428\n17818 26848\n28087 42303\n40084 60293\n90765 100000\n92550 100000\n45875 68916\n57116 85660\n26643 40118\n93103 100000\n83068 100000\n4390 6593\n13100 19730\n10962 16495\n35521 53427\n94292 100000\n30116 45366\n63112 94661\n24680 37197\n60709 91072\n6993 10497\n14486 21838\n90005 100000\n11120 16735\n93029 100000\n51507 77325\n1017 1551\n33753 50784\n64523 96771\n26893 40503\n97739 100000\n86338 100000\n34775 52303\n33087 49803\n23501 35443\n87388 100000\n7731 11620\n35297 53093\n8140 12242\n51700 77616\n40959 61589\n32525 48981\n44021 66154\n2637 3990\n45182 67877\n94999 100000\n77302 100000\n87144 100000\n99084 100000\n20998 31654\n52016 78078\n23787 35855\n32026 48222\n52931 79413\n75179 100000\n2322 3519\n91848 100000\n91861 100000\n63087 94622\n78047 100000\n5954 8949\n39257 59047\n40752 61282\n90453 100000\n35279 53068\n29981 45161\n5898 8860\n27541 41479\n72444 100000\n36333 54649\n87965 100000\n78718 100000\n90424 100000\n14141 21316\n37387 56251\n69730 100000\n10649 16021\n46412 69714\n1045 1594\n81069 100000\n23442 35352\n10924 16437\n58794 88212\n84937 100000\n62303 93457\n62402 93604\n69154 100000\n54608 81932\n30285 45618\n62628 93938\n20775 31325\n68758 100000\n88257 100000\n6588 9898\n23993 36171\n58631 87961\n86896 100000\n91285 100000\n14597 22003\n22502 33927\n34107 51308\n35404 53254\n95991 100000\n37452 56355\n4739 7117\n86052 100000\n32380 48760\n76205 100000\n16077 24232\n52700 79068\n69511 100000\n76881 100000\n63826 95733\n35582 53521\n22837 34427\n56381 84576\n85439 100000\n9157 13775\n80702 100000\n1414 2167\n41504 62397\n18995 28609\n55470 83213\n97105 100000\n3972 5966\n45493 68336\n65972 98972\n55010 82527\n30274 45599\n19404 29248\n63756 95628\n81461 100000\n62668 93993\n47272 70981\n28292 42622\n64004 95998\n15776 23780\n808 1243\n11442 17234\n34688 52174\n69047 100000\n19445 29312\n50399 75662\n67509 100000\n95889 100000\n10855 16336\n50006 75054\n10813 16274\n87586 100000\n31579 47562\n21140 31863\n94881 100000\n45671 68618\n37618 56598\n87456 100000\n29232 44040\n68063 100000\n62251 93379\n26050 39236\n24836 37426\n55255 82889\n5318 7983\n57691 86549\n16826 25363\n44533 66897\n97498 100000\n12996 19566\n14873 22423\n10036 15111\n80252 100000\n79864 100000\n14245 21472\n92702 100000\n75689 100000\n28436 42844\n41044 61720\n29833 44937\n38961 58606\n86282 100000\n97868 100000\n42164 63385\n99581 100000\n40341 60672\n31539 47501\n29193 43986\n5309 7970\n62333 93501\n10810 16269\n59078 88639\n65100 97644\n28306 42643\n33227 50007\n67303 100000\n80978 100000\n35581 53520\n19392 29229\n10537 15853\n11681 17604\n28486 42914\n20016 30186\n26403 39766\n89600 100000\n454 698\n15868 23924\n97558 100000\n23252 35046\n49858 74840\n97049 100000\n42574 63992\n41743 62751\n99843 100000\n78150 100000\n74256 100000\n6999 10507\n71354 100000\n33800 50856\n59644 89486\n92894 100000\n80885 100000\n10593 15934\n47555 71404\n28438 42847\n65078 97610\n10575 15908\n85089 100000\n41860 62932\n15498 23347\n89160 100000\n87531 100000\n6757 10156\n37254 56045\n85271 100000\n85808 100000\n82878 100000\n4136 6206\n74809 100000\n46052 69181\n95602 100000\n75964 100000\n75380 100000\n59469 89226\n32080 48303\n19556 29477\n32013 48204\n54977 82476\n38208 57485\n54932 82409\n38316 57648\n7315 10987\n891 1367\n67502 100000\n14177 21367\n82677 100000\n16496 24860\n59121 88703\n45079 67723\n22172 33429\n50108 75210\n4160 6243\n87728 100000\n52901 79368\n52254 78419\n9757 14689\n59425 89164\n7765 11670\n69713 100000\n63369 95046\n11213 16878\n92383 100000\n1879 2863\n62604 93901\n73838 100000\n22548 33992\n7817 11748\n45408 68209\n29328 44186\n12221 18405\n29808 44899\n24409 36809\n55685 83535\n38762 58306\n44950 67533\n68807 100000\n38917 58537\n20423 30796\n86850 100000\n945 1444\n6587 9897\n86706 100000\n12624 19020\n15462 23293\n20851 31441\n97536 100000\n12109 18239\n81110 100000\n44199 66406\n26071 39267\n6290 9453\n47221 70901\n3503 5294\n57913 86876\n98501 100000\n28917 43574\n52635 78977\n60872 91318\n74650 100000\n37396 56265\n50848 76332\n47359 71113\n92279 100000\n19109 28785\n51627 77507\n60829 91255\n24090 36319\n97740 100000\n45284 68026\n44055 66198\n43882 65951\n1936 2946\n6155 9252\n67896 100000\n27585 41545\n73004 100000\n93789 100000\n25875 38980\n8363 12576\n31015 46709\n81225 100000\n72700 100000\n96970 100000\n6048 9097\n81791 100000\n78439 100000\n61668 92486\n56713 85073\n75330 100000\n4188 6289\n90298 100000\n14975 22571\n42156 63376\n96411 100000\n44678 67116\n40608 61071\n26931 40553\n89276 100000\n24027 36224\n29803 44891\n13386 20159\n15904 23975\n11764 17731\n18298 27568\n79322 100000\n68805 100000\n14818 22336\n89073 100000\n84777 100000\n30112 45361\n90370 100000\n29414 44306\n7902 11876\n83263 100000\n2725 4123\n49500 74316\n29326 44183\n85569 100000\n19051 28695\n42862 64419\n18173 27378\n29029 43737\n56549 84830\n72535 100000\n24799 37371\n7738 11631\n60911 91372\n77300 100000\n79092 100000\n37110 55836\n68208 100000\n13500 20335\n6088 9159\n80731 100000\n30149 45417\n59483 89246\n6172 9276\n58448 87693\n97109 100000\n38623 58104\n29736 44789\n2544 3852\n62325 93489\n65927 98907\n80284 100000\n47127 70773\n49633 74506\n90322 100000\n46447 69764\n85283 100000\n8451 12710\n86743 100000\n11909 17946\n84966 100000\n45909 68969\n38102 57327\n10963 16496\n9644 14518\n76191 100000\n76252 100000\n37888 57004\n40234 60514\n42162 63383\n49701 74605\n71367 100000\n90550 100000\n77171 100000\n7088 10648\n31525 47477\n3 5\n67294 100000\n34880 52466\n95087 100000\n50273 75468\n75464 100000\n57285 85916\n46377 69662\n23595 35574\n36187 54428\n628 964\n65157 97728\n26493 39901\n11441 17232\n96695 100000\n10268 15457\n39649 59641\n9356 14075\n53871 80837\n95849 100000\n71683 100000\n55329 83007\n50394 75654\n57377 86069\n11793 17771\n32022 48216\n22114 33341\n36445 54825\n97666 100000\n95857 100000\n83651 100000\n83769 100000\n42731 64221\n47670 71577\n75069 100000\n85366 100000\n3508 5302\n23680 35704\n65161 97734\n99168 100000\n70950 100000\n16107 24275\n40735 61260\n48406 72680\n55630 83455\n23459 35376\n6202 9322\n1212 1852\n68885 100000\n4495 6760\n90664 100000\n294 451\n87788 100000\n31272 47092\n52155 78274\n28633 43145\n22568 34023\n98469 100000\n83731 100000\n27957 42110\n76726 100000\n74874 100000\n74945 100000\n52222 78370\n59833 89771\n22979 34642\n72684 100000\n15713 23682\n126 190\n71230 100000\n32540 49002\n54442 81684\n26240 39519\n22107 33331\n33119 49848\n53929 80924\n16492 24854\n59329 89026\n73570 100000\n14617 22034\n69412 100000\n88465 100000\n11286 16995\n74889 100000\n34917 52524\n39224 59000\n14132 21300\n32436 48842\n5541 8319\n95581 100000\n12686 19111\n52684 79047\n73588 100000\n55084 82637\n31330 47174\n34310 51609\n90604 100000\n51981 78027\n21983 33136\n31881 48015\n72792 100000\n88815 100000\n55372 83064\n79158 100000\n24241 36553\n27391 41255\n65797 98704\n15279 23024\n42792 64314\n62599 93893\n5416 8130\n79861 100000\n12239 18433\n65561 98343\n9578 14425\n55321 82994\n77823 100000\n9434 14193\n35271 53058\n16430 24761\n4283 6433\n66308 99492\n30767 46348\n3220 4867\n33499 50403\n23161 34908\n84275 100000\n44006 66131\n5934 8918\n92628 100000\n51118 76740\n10448 15724\n42642 64093\n11309 17029\n79644 100000\n41315 62118\n48727 73162\n37898 57021\n32544 49007\n85024 100000\n51503 77319\n15422 23226\n97547 100000\n92185 100000\n19290 29068\n91284 100000\n9747 14675\n81041 100000\n17234 25987\n96071 100000\n72084 100000\n52239 78397\n53105 79685\n52193 78328\n72524 100000\n21759 32804\n4515 6793\n91575 100000\n74910 100000\n28621 43129\n67449 100000\n3956 5945\n11420 17209\n31760 47833\n22665 34173\n45605 68515\n57158 85722\n77514 100000\n6131 9216\n39031 58708\n3652 5503\n814 1252\n26988 40641\n63086 94620\n31465 47381\n19731 29747\n84529 100000\n65716 98578\n22806 34381\n32667 49184\n31715 47772\n31447 47355\n68813 100000\n89097 100000\n74242 100000\n74033 100000\n40914 61521\n51654 77546\n63610 95404\n97957 100000\n68283 100000\n24118 36364\n46064 69201\n92891 100000\n77287 100000\n28078 42291\n38071 57282\n16841 25386\n42295 63573\n47767 71728\n51708 77629\n79350 100000\n25636 38620\n88546 100000\n36267 54544\n31064 46784\n25776 38830\n28142 42389\n76088 100000\n54975 82473\n62969 94444\n93844 100000\n26069 39263\n75664 100000\n81856 100000\n83242 100000\n8016 12053\n58972 88477\n65416 98124\n50432 75714\n74862 100000\n12614 19005\n87420 100000\n23476 35405\n52409 78650\n97792 100000\n65612 98421\n47036 70629\n94315 100000\n65721 98587\n23790 35861\n4052 6087\n16327 24614\n64613 96906\n38577 58031\n7828 11763\n80461 100000\n97288 100000\n19323 29122\n22613 34099\n28358 42726\n47773 71736\n38863 58451\n91394 100000\n11802 17782\n17517 26400\n66046 99084\n98527 100000\n84270 100000\n2693 4074\n53588 80400\n33868 50953\n99848 100000\n86325 100000\n32662 49176\n11111 16721\n11211 16875\n86287 100000\n73085 100000\n87215 100000\n63672 95494\n16015 24133\n76418 100000\n84696 100000\n78326 100000\n83991 100000\n71254 100000\n46696 70128\n3007 4544\n66634 99982\n59123 88705\n36149 54369\n50292 75497\n80773 100000\n2180 3304\n15032 22652\n70810 100000\n16784 25298\n52423 78669\n22065 33262\n86399 100000\n54350 81547\n4934 7412\n53775 80686\n50956 76497\n61904 92847\n78608 100000\n75707 100000\n84934 100000\n67989 100000\n89703 100000\n25015 37698\n18981 28584\n10123 15243\n21040 31716\n49222 73901\n53327 79998\n49034 73613\n34133 51341\n62989 94475\n52074 78158\n38678 58183\n75042 100000\n1128 1725\n9090 13674\n64456 96664\n22641 34139\n77646 100000\n7946 11946\n80901 100000\n90275 100000\n38233 57524\n38535 57967\n20448 30835\n3002 4537\n73137 100000\n26499 39910\n27360 41207\n17940 27033\n7862 11818\n39090 58798\n16305 24580\n78671 100000\n80314 100000\n49333 74063\n44757 67237\n53415 80137\n59828 89764\n17219 25965\n87329 100000\n64168 96247\n63624 95426\n77131 100000\n44798 67296\n31484 47413\n42947 64550\n74028 100000\n92354 100000\n60760 91150\n46728 70169\n51353 77088\n51381 77129\n74125 100000\n51815 77786\n21839 32920\n2893 4370\n88988 100000\n28315 42657\n31752 47823\n43498 65376\n47611 71484\n2353 3565\n10912 16419\n66496 99773\n73079 100000\n33964 51096\n7784 11696\n48431 72716\n60671 91014\n8960 13485\n704 1081\n93193 100000\n82859 100000\n86671 100000\n29306 44154\n31780 47864\n96795 100000\n16792 25312\n35288 53080\n77122 100000\n49256 73950\n30315 45664\n45055 67688\n27026 40699\n58788 88203\n7697 11566\n68021 100000\n36081 54267\n10464 15748\n46069 69209\n14337 21605\n41177 61912\n37829 56915\n65289 97923\n95839 100000\n25691 38699\n9117 13715\n5429 8151\n445 684\n37202 55972\n59819 89752\n21122 31835\n50488 75794\n55011 82528\n67644 100000\n92082 100000\n80282 100000\n25449 38346\n97010 100000\n66774 100000\n13155 19810\n74636 100000\n77103 100000\n65224 97826\n99023 100000\n12043 18145\n76775 100000\n50093 75189\n11331 17063\n4294 6453\n57843 86769\n12365 18628\n85634 100000\n10345 15570\n30246 45557\n78879 100000\n71306 100000\n78719 100000\n92204 100000\n25695 38706\n6930 10409\n11671 17588\n22553 33999\n55466 83205\n72653 100000\n85724 100000\n73912 100000\n70538 100000\n52754 79151\n98177 100000\n19167 28873\n37978 57148\n19369 29193\n78298 100000\n45071 67711\n43596 65522\n26244 39527\n58135 87215\n40132 60365\n97056 100000\n75591 100000\n27282 41085\n35536 53450\n68949 100000\n83789 100000\n26819 40390\n62875 94301\n26603 40049\n42763 64270\n58594 87905\n12763 19227\n3854 5797\n97698 100000\n71430 100000\n93531 100000\n53224 79854\n25226 38009\n54836 82270\n50553 75890\n5997 9014\n28756 43338\n58503 87774\n81996 100000\n21499 32401\n92099 100000\n14513 21878\n97789 100000\n40509 60923\n47851 71857\n34561 51983\n5342 8020\n72190 100000\n55185 82785\n42005 63152\n52819 79248\n27529 41461\n76624 100000\n47664 71568\n8604 12950\n89725 100000\n30237 45545\n8941 13455\n27512 41434\n10148 15282\n56960 85437\n14085 21229\n77430 100000\n60976 91465\n13819 20817\n89481 100000\n91430 100000\n11579 17449\n56131 84199\n22316 33645\n80478 100000\n85755 100000\n13603 20491\n25503 38432\n90947 100000\n21101 31803\n16012 24130\n97374 100000\n73769 100000\n62213 93320\n32466 48893\n78417 100000\n49158 73800\n18061 27212\n55446 83173\n78475 100000\n34631 52083\n14944 22528\n71313 100000\n71140 100000\n22270 33578\n50453 75745\n58004 87017\n7016 10530\n46323 69576\n51317 77035\n70867 100000\n88036 100000\n96067 100000\n5258 7893\n95092 100000\n94185 100000\n26118 39343\n68367 100000\n17602 26525\n6927 10404\n85533 100000\n98504 100000\n99169 100000\n72336 100000\n91262 100000\n28814 43425\n22250 33546\n2062 3134\n3694 5565\n69116 100000\n94655 100000\n8264 12425\n29902 45043\n94718 100000\n53014 79539\n47168 70827\n31246 47056\n51170 76825\n17889 26961\n16073 24224\n69846 100000\n27722 41751\n15457 23283\n4007 6019\n69219 100000\n40924 61535\n25888 38997\n94552 100000\n37402 56274\n30648 46163\n13190 19864\n98380 100000\n57420 86135\n60459 90698\n10576 15909\n1480 2268\n24377 36762\n68958 100000\n90329 100000\n80679 100000\n6229 9363\n76234 100000\n54522 81799\n41772 62793\n66704 100000\n58193 87302\n5891 8850\n47992 72068\n41814 62858\n30478 45910\n48663 73057\n56322 84479\n36864 55474\n19482 29365\n67507 100000\n779 1201\n37797 56868\n48768 73224\n61175 91760\n43104 64785\n89239 100000\n822 1262\n57527 86296\n10306 15516\n7200 10810\n17790 26808\n48610 72975\n40872 61459\n63143 94707\n11827 17822\n8333 12531\n32648 49154\n85782 100000\n85626 100000\n17955 27053\n13941 21015\n25407 38280\n39058 58751\n65479 98217\n86749 100000\n35894 53989\n27176 40922\n60903 91362\n20725 31253\n34187 51416\n23008 34684\n97314 100000\n19340 29149\n49215 73891\n58469 87722\n16484 24843\n393 606\n69843 100000\n18722 28204\n47508 71329\n68897 100000\n58003 87016\n9278 13960\n66726 100000\n39123 58849\n50751 76187\n8690 13078\n43385 65213\n79406 100000\n14549 21933\n56781 85172\n68402 100000\n80138 100000\n92466 100000\n59958 89958\n63880 95811\n64104 96158\n61782 92661\n68044 100000\n74700 100000\n13635 20540\n25529 38467\n19319 29116\n74932 100000\n67159 100000\n6274 9433\n69586 100000\n35463 53341\n80967 100000\n63536 95288\n26257 39549\n36376 54717\n80664 100000\n58944 88437\n80778 100000\n38221 57505\n44303 66558\n70811 100000\n4582 6889\n74664 100000\n68564 100000\n9120 13718\n1933 2941\n77428 100000\n32867 49483\n85582 100000\n39823 59909\n64511 96751\n22628 34122\n79989 100000\n14683 22135\n46519 69871\n37174 55933\n79633 100000\n80064 100000\n68234 100000\n80899 100000\n9051 13622\n52832 79266\n86217 100000\n69081 100000\n64025 96034\n61949 92912\n90510 100000\n23839 35937\n14451 21790\n29864 44982\n55299 82961\n2933 4436\n21052 31734\n84786 100000\n34555 51975\n81541 100000\n75972 100000\n72497 100000\n1776 2703\n26670 40162\n17530 26418\n83635 100000\n36138 54351\n83001 100000\n26920 40540\n78108 100000\n54840 82277\n91244 100000\n60711 91075\n63516 95262\n93384 100000\n99816 100000\n32462 48885\n70581 100000\n2652 4014\n15898 23965\n76859 100000\n25749 38787\n27175 40920\n24077 36299\n7190 10798\n36130 54339\n17004 25633\n89541 100000\n24930 37565\n59920 89905\n86089 100000\n77844 100000\n42306 63586\n37512 56441\n53652 80499\n47711 71637\n72476 100000\n67487 100000\n81919 100000\n6406 9625\n44822 67333\n34611 52056\n88757 100000\n39811 59893\n37716 56748\n85475 100000\n57219 85816\n41083 61777\n3131 4731\n78696 100000\n8869 13348\n84816 100000\n34590 52024\n38976 58627\n83419 100000\n49835 74805\n84204 100000\n17276 26050\n19342 29151\n77267 100000\n13815 20811\n869 1336\n75881 100000\n78514 100000\n73263 100000\n26610 40062\n89979 100000\n4425 6652\n23977 36146\n97077 100000\n18975 28576\n49228 73910\n13004 19579\n2712 4104\n53688 80553\n8164 12280\n99614 100000\n75572 100000\n52116 78217\n49479 74281\n91433 100000\n1769 2693\n67364 100000\n1871 2852\n57937 86913\n44700 67148\n45300 68050\n59447 89195\n24586 37060\n23092 34806\n25078 37794\n2268 3435\n91048 100000\n2752 4165\n7573 11381\n90570 100000\n49745 74671\n81637 100000\n52910 79382\n43510 65390\n18560 27965\n20060 30255\n54950 82434\n74885 100000\n49712 74622\n17484 26353\n66905 100000\n84372 100000\n28951 43625\n44874 67418\n32707 49244\n68953 100000\n10540 15858\n95380 100000\n29415 44307\n591 907\n53965 80985\n58164 87258\n66692 100000\n63926 95878\n12619 19013\n19416 29268\n67039 100000\n53468 80217\n36042 54208\n96876 100000\n88177 100000\n99441 100000\n12202 18379\n36847 55445\n67886 100000\n56001 84014\n40180 60431\n67205 100000\n76599 100000\n63793 95686\n17589 26504\n78516 100000\n99772 100000\n77311 100000\n47507 71327\n98666 100000\n91782 100000\n1190 1817\n30556 46026\n47669 71576\n96095 100000\n77023 100000\n84815 100000\n78561 100000\n59289 88957\n75774 100000\n88680 100000\n6819 10246\n99951 100000\n71116 100000\n95008 100000\n54647 81991\n29559 44520\n74791 100000\n88528 100000\n83913 100000\n37511 56440\n73059 100000\n90503 100000\n38488 57904\n32665 49181\n51788 77746\n15220 22932\n35056 52734\n38743 58278\n31333 47179\n42771 64281\n32909 49544\n93433 100000\n28652 43171\n11109 16718\n2783 4209\n68868 100000\n63285 94917\n78093 100000\n94745 100000\n70591 100000\n34230 51484\n92948 100000\n46038 69158\n7014 10528\n20875 31476\n26847 40431\n35904 54002\n45678 68631\n7118 10686\n96731 100000\n40270 60568\n57321 85976\n20826 31403\n67183 100000\n53034 79569\n44656 67084\n79954 100000\n95204 100000\n10803 16259\n12292 18515\n9537 14360\n68134 100000\n82126 100000\n9499 14297\n43156 64859\n33779 50826\n63166 94739\n75088 100000\n33634 50600\n73874 100000\n15831 23867\n83844 100000\n95045 100000\n13209 19892\n46298 69541\n37905 57033\n38692 58205\n59582 89395\n97081 100000\n61361 92031\n72675 100000\n20596 31062\n54312 81495\n8335 12533\n9828 14791\n4919 7392\n73131 100000\n81 123\n33165 49914\n38975 58625\n33169 49920\n55616 83433\n26634 40101\n45738 68717\n82572 100000\n57791 86695\n47001 70580\n81860 100000\n59566 89369\n77588 100000\n53342 80025\n65188 97774\n46332 69588\n58427 87661\n79774 100000\n68853 100000\n5410 8122\n29673 44688\n38264 57573\n45772 68767\n47134 70784\n39508 59422\n14846 22384\n99740 100000\n17756 26757\n33423 50296\n79069 100000\n45621 68543\n15901 23970\n1092 1671\n59383 89110\n93016 100000\n73038 100000\n91426 100000\n31781 47866\n63066 94588\n41336 62149\n31346 47197\n96488 100000\n40336 60664\n32127 48373\n76363 100000\n20344 30672\n89844 100000\n91731 100000\n36975 55638\n35233 53004\n58481 87738\n83796 100000\n15361 23139\n29044 43762\n84828 100000\n8617 12969\n69680 100000\n60098 90165\n10325 15542\n31719 47778\n52540 78838\n531 813\n8686 13073\n62153 93222\n78256 100000\n56709 85068\n31153 46923\n92226 100000\n84366 100000\n88223 100000\n1960 2983\n90159 100000\n7146 10729\n45024 67642\n45233 67951\n8117 12206\n89519 100000\n10450 15728\n81581 100000\n57081 85608\n34682 52165\n85603 100000\n66838 100000\n75818 100000\n20165 30414\n9840 14810\n62854 94270\n99533 100000\n54544 81831\n23961 36120\n58007 87022\n28039 42229\n56721 85087\n13977 21068\n18104 27277\n94352 100000\n60477 90728\n8734 13143\n21468 32352\n93699 100000\n98066 100000\n10321 15538\n41168 61901\n37390 56256\n50583 75935\n30384 45766\n24742 37292\n64281 96414\n9910 14921\n64224 96336\n82578 100000\n68446 100000\n72595 100000\n34388 51726\n3293 4975\n74662 100000\n46132 69304\n53920 80911\n84491 100000\n20773 31322\n18929 28508\n67965 100000\n6876 10328\n58225 87347\n806 1241\n37624 56607\n59035 88571\n90320 100000\n92961 100000\n77292 100000\n32232 48537\n23123 34850\n37510 56439\n41877 62960\n55423 83142\n57822 86737\n44054 66197\n31277 47099\n73490 100000\n42270 63538\n9822 14783\n65282 97912\n77719 100000\n36965 55622\n17168 25888\n77665 100000\n54158 81270\n69007 100000\n47183 70848\n79897 100000\n89888 100000\n49918 74921\n92636 100000\n19262 29020\n48227 72424\n29964 45135\n18122 27305\n5014 7528\n48025 72116\n62746 94111\n33928 51040\n35981 54118\n34491 51878\n50527 75849\n7015 10529\n56873 85306\n5167 7755\n65307 97951\n18475 27834\n20446 30833\n70216 100000\n31945 48107\n92218 100000\n49869 74853\n36002 54149\n86699 100000\n36189 54430\n12928 19460\n42942 64540\n93600 100000\n26967 40608\n72973 100000\n50727 76151\n86497 100000\n67312 100000\n97066 100000\n4989 7492\n60927 91396\n96028 100000\n92163 100000\n14514 21880\n12596 18975\n29172 43951\n10200 15353\n65742 98619\n86645 100000\n4219 6335\n44310 66569\n87611 100000\n12863 19366\n12027 18125\n7302 10966\n69579 100000\n46079 69222\n17189 25921\n48580 72932\n37363 56213\n72702 100000\n78357 100000\n24949 37596\n99404 100000\n12678 19102\n58754 88153\n46619 70020\n25469 38376\n32501 48942\n85963 100000\n78868 100000\n69241 100000\n72670 100000\n1919 2918\n47966 72028\n81494 100000\n17908 26988\n28016 42194\n87435 100000\n66559 99864\n66256 99412\n77715 100000\n41684 62667\n72886 100000\n88250 100000\n68808 100000\n94348 100000\n89165 100000\n71545 100000\n12066 18180\n55362 83047\n51348 77080\n38939 58572\n12947 19491\n33103 49825\n42058 63225\n56084 84128\n19753 29782\n42406 63738\n26522 39942\n22101 33320\n45838 68862\n55780 83679\n16787 25304\n1064 1625\n4786 7189\n46766 70226\n46560 69934\n55346 83028\n26058 39247\n32088 48317\n47640 71529\n64424 96620\n15729 23705\n85049 100000\n61755 92620\n1153 1761\n27757 41808\n70068 100000\n9705 14616\n33337 50172\n45484 68322\n36788 55357\n37915 57050\n37917 57053\n15734 23714\n48003 72082\n11574 17441\n46059 69193\n93580 100000\n90356 100000\n70929 100000\n70213 100000\n66661 100000\n61705 92542\n84415 100000\n25671 38668\n41209 61965\n90186 100000\n34651 52115\n9526 14341\n46690 70121\n92475 100000\n76585 100000\n66599 99927\n63638 95442\n14972 22568\n12544 18896\n7653 11501\n80799 100000\n77098 100000\n82932 100000\n18265 27517\n98754 100000\n95091 100000\n75757 100000\n52809 79232\n45312 68070\n31964 48132\n63594 95376\n93227 100000\n26411 39778\n95034 100000\n43726 65719\n47157 70814\n81899 100000\n69525 100000\n27251 41035\n83220 100000\n6117 9193\n14348 21621\n7753 11652\n28897 43544\n85928 100000\n65250 97864\n90056 100000\n28553 43023\n96068 100000\n73477 100000\n99077 100000\n14551 21935\n28899 43547\n18178 27386\n62711 94060\n66029 99056\n66493 99769\n51394 77149\n62576 93859\n9912 14925\n62575 93858\n54012 81055\n27991 42158\n8138 12239\n57646 86479\n2364 3581\n61646 92452\n45891 68940\n86045 100000\n15656 23595\n41540 62450\n24019 36210\n31815 47914\n94071 100000\n74382 100000\n3905 5871\n19408 29254\n94749 100000\n63877 95806\n92561 100000\n60607 90920\n66388 99613\n65043 97560\n5977 8985\n11035 16602\n31209 47004\n98411 100000\n4044 6072\n63374 95054\n41574 62498\n68585 100000\n58660 88007\n19581 29516\n69370 100000\n52563 78875\n7768 11674\n33387 50239\n67143 100000\n27871 41980\n28884 43524\n19929 30057\n83584 100000\n58549 87839\n59730 89618\n96208 100000\n44820 67331\n60996 91496\n49592 74446\n16153 24345\n77874 100000\n58970 88474\n47410 71188\n83741 100000\n13060 19667\n30130 45389\n42921 64505\n98689 100000\n36688 55204\n21566 32505\n52614 78950\n88989 100000\n35136 52851\n47138 70788\n45993 69092\n86509 100000\n91661 100000\n79631 100000\n92846 100000\n79669 100000\n20069 30268\n52997 79514\n57445 86171\n90222 100000\n9558 14393\n74475 100000\n88974 100000\n6123 9204\n73030 100000\n73190 100000\n90904 100000\n67895 100000\n65896 98859\n25162 37918\n61855 92772\n30490 45929\n33548 50471\n75011 100000\n25224 38006\n71161 100000\n13958 21042\n97962 100000\n70605 100000\n31393 47275\n87664 100000\n16500 24866\n87748 100000\n95307 100000\n49050 73635\n47198 70867\n47499 71317\n28080 42293\n31789 47876\n24058 36274\n70397 100000\n78084 100000\n47488 71298\n88616 100000\n78811 100000\n38057 57260\n15862 23915\n11313 17034\n67363 100000\n42558 63966\n43255 65015\n58149 87238\n80208 100000\n44794 67288\n28195 42472\n33286 50097\n31429 47329\n37298 56110\n45338 68110\n18912 28484\n15848 23894\n93140 100000\n94493 100000\n70183 100000\n9382 14113\n54305 81486\n11966 18030\n39238 59019\n39653 59647\n33067 49773\n69048 100000\n14060 21188\n68117 100000\n12649 19058\n33385 50236\n17698 26665\n99107 100000\n59266 88920\n15012 22625\n91405 100000\n20623 31102\n19291 29069\n72148 100000\n74767 100000\n43366 65185\n80358 100000\n64554 96819\n90758 100000\n41084 61778\n65120 97675\n50644 76022\n78165 100000\n68424 100000\n91177 100000\n8065 12129\n49730 74648\n10351 15579\n30497 45939\n97208 100000\n41744 62752\n86294 100000\n97768 100000\n80735 100000\n13915 20967\n50852 76338\n43110 64795\n14978 22574\n8805 13252\n1642 2501\n54303 81484\n96885 100000\n79974 100000\n87432 100000\n94834 100000\n46344 69608\n65291 97926\n83658 100000\n91695 100000\n8503 12788\n91538 100000\n40854 61432\n22127 33361\n51011 76581\n84660 100000\n79024 100000\n3597 5426\n91493 100000\n90661 100000\n53236 79870\n98402 100000\n97647 100000\n67191 100000\n39207 58974\n74701 100000\n49236 73921\n77596 100000\n38538 57971\n56231 84340\n9393 14131\n56696 85049\n40252 60538\n74164 100000\n82369 100000\n41866 62942\n56046 84079\n41259 62038\n15458 23285\n61496 92225\n58337 87514\n38716 58237\n94386 100000\n33614 50571\n24070 36290\n19765 29801\n17635 26570\n6365 9563\n59072 88629\n90716 100000\n68994 100000\n30634 46139\n45903 68959\n28430 42834\n99156 100000\n6648 9991\n97606 100000\n60460 90700\n4490 6752\n6320 9498\n80913 100000\n34663 52133\n86368 100000\n30356 45723\n53581 80390\n51226 76902\n35378 53215\n49367 74111\n23261 35059\n23712 35750\n52879 79338\n76787 100000\n78187 100000\n51695 77611\n83361 100000\n98239 100000\n35150 52876\n52258 78424\n61516 92253\n25857 38952\n92252 100000\n28819 43431\n99395 100000\n31116 46864\n13136 19781\n83009 100000\n91946 100000\n99445 100000\n31023 46720\n57804 86710\n9282 13966\n1895 2886\n61271 91902\n69110 100000\n57799 86705\n62140 93203\n56128 84194\n51019 76592\n14130 21296\n83278 100000\n65230 97835\n37499 56421\n62395 93596\n63125 94680\n62121 93170\n45037 67662\n78542 100000\n79829 100000\n99399 100000\n70191 100000\n83005 100000\n32244 48552\n90447 100000\n17313 26105\n13541 20399\n76319 100000\n12588 18962\n16109 24279\n25824 38903\n41908 63007\n65206 97802\n92554 100000\n40839 61409\n44182 66376\n85783 100000\n11093 16693\n19170 28877\n24112 36353\n82380 100000\n35791 53835\n92587 100000\n38106 57333\n36940 55588\n18914 28487\n27414 41288\n57456 86190\n84280 100000\n89483 100000\n79527 100000\n98386 100000\n78233 100000\n38497 57915\n29148 43913\n8901 13393\n4295 6454\n60355 90547\n50096 75192\n97463 100000\n18558 27962\n52818 79246\n69724 100000\n17226 25974\n22835 34425\n3163 4782\n98347 100000\n89411 100000\n17214 25958\n17007 25637\n9599 14456\n5899 8862\n13924 20983\n41586 62514\n96328 100000\n22178 33440\n44890 67444\n59429 89169\n69757 100000\n7237 10867\n62639 93953\n74006 100000\n86637 100000\n30562 46034\n11743 17703\n28159 42415\n14390 21689\n37738 56781\n890 1365\n88137 100000\n73548 100000\n9243 13903\n78786 100000\n34873 52455\n58987 88502\n64400 96580\n95464 100000\n24317 36670\n14238 21462\n41004 61658\n99376 100000\n63827 95735\n60822 91244\n58520 87798\n44753 67231\n22462 33867\n37106 55829\n35269 53055\n34266 51536\n89676 100000\n81068 100000\n16299 24571\n28253 42561\n93942 100000\n92316 100000\n14641 22070\n88249 100000\n68451 100000\n28388 42765\n22995 34667\n30413 45810\n2903 4387\n44975 67569\n44603 67005\n48450 72746\n85130 100000\n40761 61295\n45585 68484\n85568 100000\n47082 70704\n55628 83451\n44556 66933\n32559 49028\n95745 100000\n64495 96727\n21649 32634\n24726 37267\n11018 16580\n48360 72616\n72834 100000\n99523 100000\n96780 100000\n41166 61898\n39936 60074\n40713 61225\n78952 100000\n52134 78245\n29185 43971\n16199 24420\n8849 13317\n18026 27156\n35655 53633\n95776 100000\n28032 42220\n3210 4851\n72889 100000\n56625 84940\n47945 72001\n92536 100000\n43694 65673\n20540 30979\n54440 81681\n92131 100000\n2464 3723\n21949 33086\n58671 88025\n28730 43295\n2273 3443\n773 1190\n35083 52772\n9101 13691\n67184 100000\n74577 100000\n35016 52673\n48050 72153\n93722 100000\n64865 97294\n27882 41996\n19355 29171\n35232 53003\n12206 18385\n32299 48638\n67929 100000\n88570 100000\n95384 100000\n98788 100000\n69529 100000\n13776 20755\n79705 100000\n65298 97938\n90769 100000\n62345 93517\n84508 100000\n91781 100000\n8378 12598\n31122 46872\n39034 58711\n32418 48818\n18633 28071\n6695 10059\n17538 26430\n88062 100000\n32632 49132\n72638 100000\n48533 72867\n52432 78682\n62142 93205\n72371 100000\n4 7\n29020 43724\n51136 76772\n74854 100000\n75236 100000\n69799 100000\n73830 100000\n58991 88508\n1628 2480\n67541 100000\n62078 93104\n96009 100000\n63855 95774\n96818 100000\n12477 18799\n75222 100000\n45692 68651\n49917 74920\n50766 76210\n33878 50967\n11114 16725\n20238 30520\n95836 100000\n86656 100000\n80193 100000\n22822 34406\n94400 100000\n18501 27873\n67685 100000\n61377 92054\n6261 9411\n77472 100000\n54701 82071\n50870 76367\n91344 100000\n59668 89521\n12995 19564\n31698 47749\n48361 72617\n25115 37846\n47990 72066\n19733 29751\n36558 54996\n31554 47524\n31990 48167\n46597 69987\n89386 100000\n27080 40779\n17559 26459\n90109 100000\n12464 18776\n51987 78035\n14926 22501\n53472 80223\n41062 61746\n70019 100000\n62128 93182\n86977 100000\n94608 100000\n75186 100000\n84191 100000\n10026 15095\n27564 41516\n49174 73824\n14347 21619\n91250 100000\n69283 100000\n10335 15556\n62670 93997\n13631 20533\n43174 64888\n89627 100000\n93181 100000\n2639 3993\n38299 57623\n998 1524\n29127 43881\n66555 99858\n27406 41279\n53634 80468\n33369 50214\n57069 85590\n47031 70623\n84918 100000\n13972 21061\n50765 76209\n16445 24781\n25157 37910\n34436 51798\n25371 38224\n26530 39951\n33523 50438\n88038 100000\n14820 22339\n33483 50379\n39786 59856\n25286 38098\n81136 100000\n82651 100000\n77507 100000\n37639 56629\n6816 10241\n71205 100000\n45043 67670\n92080 100000\n33749 50778\n42679 64144\n8661 13037\n7717 11600\n31683 47727\n67696 100000\n51074 76671\n36606 55072\n66754 100000\n72962 100000\n56036 84067\n29085 43821\n48965 73509\n6607 9926\n44783 67273\n51157 76804\n76863 100000\n34421 51777\n34010 51169\n33159 49904\n69021 100000\n30658 46178\n80897 100000\n69924 100000\n85968 100000\n94960 100000\n20054 30244\n57166 85735\n7788 11702\n58307 87469\n30028 45231\n87713 100000\n3154 4767\n84448 100000\n47779 71744\n31385 47261\n59657 89504\n91302 100000\n82971 100000\n37518 56451\n61809 92699\n16924 25514\n87626 100000\n25203 37975\n24623 37113\n77563 100000\n46039 69159\n68185 100000\n43450 65307\n3672 5532\n5494 8246\n58477 87732\n56460 84690\n79802 100000\n44615 67023\n28178 42443\n72461 100000\n56764 85147\n99582 100000\n31948 48110\n23465 35386\n27726 41755\n14392 21693\n42780 64295\n32424 48826\n33781 50828\n19875 29971\n15769 23769\n81928 100000\n57877 86823\n32189 48468\n17074 25741\n24966 37621\n67444 100000\n23536 35489\n10213 15372\n86279 100000\n57041 85550\n5168 7757\n46964 70527\n86553 100000\n52048 78125\n22978 34641\n66171 99277\n3573 5391\n9320 14025\n24984 37650\n55169 82759\n94169 100000\n21046 31725\n32956 49610\n17677 26632\n17669 26619\n64088 96137\n10130 15254\n32002 48185\n90855 100000\n39468 59368\n31560 47534\n35161 52894\n96468 100000\n93827 100000\n25251 38048\n71915 100000\n51552 77392\n32898 49528\n20990 31641\n27382 41241\n75146 100000\n76449 100000\n39996 60165\n17218 25964\n33077 49786\n99678 100000\n81736 100000\n75639 100000\n84051 100000\n69658 100000\n41912 63012\n93677 100000\n61092 91632\n38039 57231\n71101 100000\n62640 93954\n53421 80148\n75561 100000\n64941 97408\n45063 67699\n8430 12678\n76915 100000\n83901 100000\n99098 100000\n24698 37224\n14032 21149\n42501 63876\n46847 70352\n79366 100000\n29663 44674\n92018 100000\n40726 61246\n98544 100000\n93399 100000\n16653 25097\n64688 97023\n66902 100000\n47683 71596\n68401 100000\n74471 100000\n46824 70320\n98304 100000\n83350 100000\n97132 100000\n24880 37492\n2108 3199\n49396 74159\n5700 8560\n69091 100000\n3893 5853\n15440 23255\n19605 29556\n98779 100000\n43253 65012\n14118 21277\n96672 100000\n46241 69458\n27213 40979\n82416 100000\n2603 3937\n73864 100000\n85743 100000\n26781 40336\n32769 49335\n58041 87071\n11162 16797\n36439 54816\n59704 89579\n56192 84279\n48879 73386\n57745 86625\n43138 64834\n13999 21104\n55757 83644\n66937 100000\n88473 100000\n91690 100000\n95434 100000\n11155 16787\n70585 100000\n70411 100000\n20849 31439\n14811 22325\n75080 100000\n30221 45522\n36109 54305\n61622 92410\n5444 8175\n57685 86539\n42961 64569\n26993 40648\n83137 100000\n65838 98766\n1604 2445\n26630 40096\n36755 55307\n31883 48018\n99623 100000\n89739 100000\n52455 78716\n12762 19226\n77427 100000\n67993 100000\n81869 100000\n98317 100000\n6939 10420\n78655 100000\n1101 1683\n89178 100000\n87094 100000\n904 1387\n39829 59916\n17902 26980\n91222 100000\n2565 3884\n60666 91006\n52527 78819\n42030 63187\n58214 87331\n84227 100000\n83751 100000\n42098 63287\n40313 60631\n54568 81868\n47085 70708\n32993 49663\n68742 100000\n23713 35752\n16083 24239\n76854 100000\n39297 59108\n62829 94230\n32878 49500\n15672 23620\n84229 100000\n3071 4638\n1882 2867\n27878 41990\n56059 84096\n90409 100000\n79883 100000\n74452 100000\n75188 100000\n87086 100000\n86621 100000\n32238 48545\n42094 63279\n7566 11372\n61432 92133\n73879 100000\n67255 100000\n14107 21264\n70883 100000\n97054 100000\n80345 100000\n21554 32487\n66786 100000\n80803 100000\n34100 51299\n88942 100000\n27927 42065\n1670 2542\n2270 3438\n23539 35494\n36082 54268\n26808 40373\n61897 92837\n96583 100000\n4722 7093\n12843 19337\n3655 5506\n96930 100000\n86576 100000\n7311 10980\n40814 61373\n38580 58037\n52903 79370\n22302 33625\n20019 30191\n78627 100000\n80969 100000\n50871 76368\n55465 83203\n18833 28366\n13367 20127\n37913 57047\n30506 45952\n13177 19844\n91232 100000\n69264 100000\n52079 78163\n9285 13971\n91495 100000\n53340 80021\n66795 100000\n32758 49317\n19470 29349\n68306 100000\n45702 68668\n9181 13808\n83399 100000\n92146 100000\n47033 70625\n73832 100000\n56113 84171\n4917 7390\n64944 97414\n95062 100000\n68810 100000\n88768 100000\n42187 63418\n56556 84841\n15152 22830\n6188 9301\n46336 69596\n69576 100000\n16478 24833\n81362 100000\n73044 100000\n63693 95524\n83044 100000\n21357 32185\n36722 55255\n20330 30649\n55298 82959\n74140 100000\n79302 100000\n23964 36125\n45281 68021\n72087 100000\n62519 93776\n58751 88149\n666 1022\n45973 69063\n25896 39009\n3135 4738\n20447 30834\n45670 68616\n31134 46892\n5840 8775\n54434 81672\n43017 64651\n79666 100000\n56168 84247\n39166 58915\n48817 73293\n61113 91661\n41406 62247\n92491 100000\n27612 41589\n77396 100000\n23859 35969\n60246 90386\n2820 4264\n4666 7008\n63773 95653\n74912 100000\n18770 28275\n52162 78283\n202 310\n65678 98518\n99308 100000\n38196 57468\n68350 100000\n7535 11322\n78930 100000\n59702 89577\n93429 100000\n41735 62739\n7149 10734\n68887 100000\n23707 35741\n13791 20775\n33521 50435\n59804 89728\n55648 83480\n25673 38672\n82226 100000\n44979 67577\n59875 89836\n13570 20445\n26245 39529\n1209 1846\n15424 23229\n8791 13231\n2779 4205\n6149 9244\n59301 88977\n24943 37585\n62714 94064\n18681 28145\n94137 100000\n19608 29562\n350 537\n45976 69067\n8046 12099\n67601 100000\n12345 18594\n38691 58203\n17194 25929\n15287 23035\n2923 4420\n36222 54478\n69968 100000\n3821 5754\n97445 100000\n58537 87822\n31430 47330\n47235 70924\n18613 28044\n54095 81175\n27407 41280\n42851 64401\n85826 100000\n87605 100000\n37661 56658\n12534 18882\n44266 66504\n86284 100000\n74110 100000\n33728 50745\n89334 100000\n71437 100000\n28779 43371\n42537 63936\n29465 44376\n82697 100000\n84593 100000\n42581 64003\n55716 83583\n71448 100000\n22658 34160\n66096 99162\n46513 69861\n15054 22683\n21269 32051\n24052 36263\n73831 100000\n82265 100000\n87041 100000\n41661 62632\n66748 100000\n15853 23900\n99922 100000\n53511 80284\n33331 50161\n92271 100000\n52916 79391\n65993 99006\n92386 100000\n49060 73650\n64074 96113\n75803 100000\n73005 100000\n52811 79234\n98335 100000\n800 1232\n51877 77876\n29366 44239\n59194 88814\n83384 100000\n45815 68828\n247 379\n12366 18630\n97901 100000\n82280 100000\n95704 100000\n31738 47806\n44878 67424\n97155 100000\n30966 46643\n24214 36510\n51814 77784\n7925 11912\n52123 78228\n67278 100000\n16830 25369\n71474 100000\n57234 85838\n23414 35309\n44527 66887\n41094 61792\n57558 86344\n88706 100000\n66122 99203\n48075 72192\n98145 100000\n14542 21924\n52189 78322\n24688 37208\n91780 100000\n26511 39927\n32366 48737\n80895 100000\n36799 55373\n3284 4964\n55385 83080\n57574 86372\n11687 17612\n81839 100000\n97930 100000\n53130 79717\n12057 18167\n7084 10642\n34666 52139\n16986 25607\n74875 100000\n86773 100000\n68648 100000\n23000 34673\n57210 85802\n61914 92862\n53343 80026\n83924 100000\n16849 25397\n27849 41947\n32165 48432\n82522 100000\n96929 100000\n87753 100000\n30866 46494\n81867 100000\n76182 100000\n3193 4827\n7438 11176\n88438 100000\n49035 73614\n7591 11404\n66675 100000\n55909 83880\n44099 66264\n87284 100000\n20100 30313\n1179 1802\n29826 44927\n89120 100000\n21268 32049\n23277 35087\n51671 77573\n76050 100000\n72417 100000\n92333 100000\n2740 4146\n86266 100000\n4497 6764\n98446 100000\n57276 85902\n84310 100000\n42786 64304\n85229 100000\n16293 24562\n11185 16834\n3917 5886\n81287 100000\n43389 65219\n70461 100000\n72152 100000\n63037 94548\n46462 69788\n25091 37813\n58592 87903\n49942 74958\n68071 100000\n78306 100000\n4600 6913\n10240 15414\n32840 49438\n56493 84742\n66441 99692\n79773 100000\n85497 100000\n26785 40340\n33716 50729\n2596 3928\n46450 69769\n19923 30049\n68631 100000\n21918 33041\n14009 21117\n88763 100000\n51545 77381\n73979 100000\n28950 43623\n52979 79487\n39994 60162\n24447 36864\n71719 100000\n41351 62168\n7053 10588\n13351 20104\n5847 8785\n4606 6922\n35752 53776\n86614 100000\n50785 76242\n76424 100000\n81273 100000\n35006 52657\n52009 78068\n23229 35014\n70142 100000\n27994 42164\n69995 100000\n40452 60840\n61310 91957\n36650 55141\n21667 32661\n12185 18352\n18992 28603\n50811 76281\n50912 76432\n24227 36533\n49513 74335\n38521 57945\n2233 3383\n45292 68038\n28831 43450\n93043 100000\n49599 74456\n14163 21347\n88997 100000\n16424 24753\n34186 51414\n73640 100000\n23139 34874\n99820 100000\n79310 100000\n98610 100000\n39625 59607\n84724 100000\n56676 85016\n24573 37040\n74493 100000\n82019 100000\n52034 78106\n56446 84668\n60325 90503\n53199 79816\n1568 2389\n53388 80096\n31239 47048\n5435 8162\n93326 100000\n16034 24165\n4041 6069\n94880 100000\n97456 100000\n612 939\n98818 100000\n84056 100000\n48236 72437\n80001 100000\n33761 50797\n551 844\n59728 89614\n74707 100000\n95625 100000\n72509 100000\n68683 100000\n70136 100000\n18362 27660\n33628 50591\n17875 26938\n29853 44963\n94566 100000\n99382 100000\n48188 72370\n83925 100000\n99611 100000\n77820 100000\n87400 100000\n99684 100000\n865 1331\n46512 69860\n52218 78363\n73497 100000\n85600 100000\n65877 98827\n28820 43432\n6489 9754\n55435 83158\n66440 99691\n40742 61269\n63921 95870\n66701 100000\n18357 27653\n8924 13426\n69555 100000\n42529 63923\n76207 100000\n79061 100000\n9576 14422\n32894 49522\n89812 100000\n76183 100000\n45134 67802\n21044 31722\n3122 4716\n43701 65685\n19148 28844\n32506 48950\n8282 12451\n1318 2009\n10918 16428\n83396 100000\n84090 100000\n22394 33769\n75859 100000\n46466 69793\n20701 31219\n55286 82940\n4646 6979\n84011 100000\n27340 41176\n24813 37390\n41973 63106\n89279 100000\n84744 100000\n70190 100000\n95507 100000\n47827 71821\n60597 90907\n69165 100000\n1304 1986\n32711 49250\n42729 64218\n14793 22300\n92481 100000\n59436 89179\n89284 100000\n67663 100000\n32855 49463\n83822 100000\n67081 100000\n36302 54599\n86216 100000\n6725 10105\n94717 100000\n25618 38596\n76760 100000\n57931 86904\n2517 3808\n32340 48698\n12088 18210\n73534 100000\n47700 71622\n55550 83333\n43499 65377\n70747 100000\n66533 99827\n50421 75698\n29575 44545\n46622 70025\n19936 30070\n43124 64817\n92981 100000\n53196 79813\n69681 100000\n62959 94429\n72945 100000\n61633 92430\n77153 100000\n82855 100000\n39764 59820\n69807 100000\n84031 100000\n73399 100000\n28714 43272\n9315 14017\n16881 25448\n29535 44482\n27321 41144\n94107 100000\n94234 100000\n23050 34748\n7615 11446\n77590 100000\n19119 28798\n1945 2961\n16583 24993\n12806 19286\n65189 97775\n84506 100000\n96814 100000\n22212 33488\n86095 100000\n36241 54507\n7135 10712\n6557 9855\n89661 100000\n78462 100000\n14802 22312\n99657 100000\n56383 84580\n97272 100000\n61610 92392\n56500 84753\n12234 18425\n50829 76305\n8279 12446\n54752 82149\n9380 14110\n71114 100000\n68050 100000\n8173 12292\n39721 59755\n85653 100000\n24330 36692\n63109 94657\n18105 27279\n16761 25260\n15383 23173\n91934 100000\n28970 43650\n36988 55657\n31328 47172\n81496 100000\n80353 100000\n77490 100000\n76408 100000\n61375 92051\n94509 100000\n93571 100000\n76235 100000\n80362 100000\n54980 82482\n28013 42189\n16868 25428\n84781 100000\n55760 83649\n21410 32260\n55143 82724\n44619 67027\n48801 73270\n19895 30003\n23603 35584\n65450 98171\n61977 92953\n93008 100000\n20013 30182\n97810 100000\n25966 39110\n20647 31138\n28354 42720\n66117 99195\n16098 24261\n22448 33847\n79847 100000\n79169 100000\n89762 100000\n33509 50417\n17047 25700\n68843 100000\n19212 28945\n98338 100000\n4178 6271\n94349 100000\n16266 24519\n81236 100000\n31094 46832\n10449 15726\n62748 94115\n74992 100000\n11956 18016\n7133 10709\n61182 91768\n77259 100000\n89559 100000\n731 1124\n91058 100000\n40730 61253\n78100 100000\n26233 39507\n17591 26507\n75197 100000\n30177 45457\n75739 100000\n34270 51542\n68826 100000\n75313 100000\n54252 81411\n88544 100000\n44129 66304\n55867 83814\n85591 100000\n97382 100000\n77216 100000\n62103 93141\n44544 66915\n56268 84392\n13843 20854\n95009 100000\n25262 38066\n75062 100000\n11139 16764\n98813 100000\n57174 85748\n56729 85097\n481 735\n17991 27107\n45734 68712\n73886 100000\n33532 50452\n39320 59142\n65114 97665\n54888 82344\n6084 9152\n21334 32150\n50079 75165\n13763 20737\n55500 83256\n98639 100000\n34937 52555\n4091 6142\n40412 60779\n54650 81995\n59555 89352\n31014 46707\n43266 65029\n43056 64708\n19194 28915\n96249 100000\n78764 100000\n44595 66993\n22885 34500\n76777 100000\n16683 25142\n45812 68825\n27244 41023\n23431 35338\n59098 88667\n34398 51741\n53301 79965\n36373 54712\n57073 85597\n76720 100000\n64084 96130\n65577 98370\n10084 15183\n44380 66672\n88055 100000\n70894 100000\n61160 91739\n4998 7503\n24898 37519\n50216 75379\n21138 31859\n209 319\n49202 73869\n91547 100000\n78961 100000\n15226 22942\n85707 100000\n23367 35230\n14353 21629\n87520 100000\n33881 50970\n38013 57196\n97855 100000\n87437 100000\n54569 81870\n1715 2614\n92301 100000\n74225 100000\n94635 100000\n68600 100000\n78113 100000\n20371 30715\n66499 99777\n57343 86016\n62904 94343\n48100 72232\n85154 100000\n23685 35711\n42131 63337\n72147 100000\n1183 1808\n37893 57012\n29909 45051\n93324 100000\n94054 100000\n99225 100000\n34787 52319\n38602 58070\n14034 21152\n35901 53998\n69245 100000\n8043 12095\n5306 7966\n36023 54179\n61538 92287\n88920 100000\n75100 100000\n98635 100000\n29171 43950\n64850 97274\n24725 37265\n83108 100000\n65849 98784\n86865 100000\n99826 100000\n51874 77872\n70321 100000\n58302 87462\n52869 79323\n79002 100000\n40177 60427\n79635 100000\n35418 53273\n49700 74604\n23751 35804\n95161 100000\n30162 45438\n62788 94172\n20797 31359\n51091 76696\n16749 25240\n7746 11640\n3897 5859\n457 702\n74344 100000\n72164 100000\n74524 100000\n87663 100000\n77481 100000\n25985 39138\n90808 100000\n34650 52113\n29120 43872\n55986 83991\n2406 3636\n64083 96128\n18425 27749\n15645 23577\n80253 100000\n57102 85638\n68520 100000\n31991 48169\n76069 100000\n22152 33401\n31561 47536\n88381 100000\n97601 100000\n27004 40666\n67337 100000\n78679 100000\n89397 100000\n93706 100000\n4624 6946\n60586 90890\n22852 34451\n61278 91914\n1663 2533\n6608 9928\n88002 100000\n11134 16755\n23560 35526\n93064 100000\n32045 48254\n6535 9821\n72754 100000\n67125 100000\n48873 73377\n61181 91767\n89030 100000\n22960 34614\n2467 3728\n282 431\n61220 91823\n44565 66949\n51143 76784\n32118 48357\n14694 22153\n87616 100000\n85453 100000\n38485 57900\n55556 83343\n64067 96101\n90279 100000\n40596 61055\n18656 28108\n33586 50530\n3608 5441\n35394 53239\n90936 100000\n2175 3295\n46067 69206\n48260 72472\n16358 24655\n74282 100000\n88011 100000\n51325 77044\n65002 97496\n31337 47185\n35814 53871\n62198 93297\n51481 77283\n10483 15774\n23874 35986\n40257 60548\n38612 58085\n84968 100000\n19935 30068\n41437 62292\n38948 58584\n11982 18054\n56021 84045\n14584 21982\n48368 72626\n26106 39323\n38561 58006\n35737 53755\n29960 45129\n60024 90060\n4930 7407\n1730 2635\n10791 16240\n98182 100000\n74122 100000\n18642 28087\n97447 100000\n29256 44077\n86011 100000\n1394 2136\n26709 40224\n85543 100000\n688 1056\n78404 100000\n65682 98524\n41556 62472\n54176 81300\n8584 12916\n11453 17252\n71453 100000\n9006 13555\n30138 45401\n44338 66609\n90391 100000\n16949 25553\n88192 100000\n32233 48538\n50167 75302\n84290 100000\n23672 35690\n57363 86047\n24240 36552\n84050 100000\n85418 100000\n49212 73886\n38268 57579\n29434 44333\n2455 3709\n14823 22345\n96389 100000\n99440 100000\n39383 59239\n30351 45716\n51644 77531\n83647 100000\n95644 100000\n19666 29647\n87551 100000\n81063 100000\n68583 100000\n99055 100000\n22190 33458\n97300 100000\n91862 100000\n23508 35452\n43970 66080\n22834 34424\n31090 46825\n40559 60999\n13255 19963\n93347 100000\n24537 36997\n79373 100000\n43571 65484\n27063 40755\n98697 100000\n2172 3290\n86531 100000\n93786 100000\n4056 6092\n43803 65837\n62315 93475\n93821 100000\n42775 64287\n7676 11536\n3753 5654\n49382 74138\n40196 60454\n61840 92749\n46170 69357\n73581 100000\n15914 23988\n85730 100000\n77061 100000\n73900 100000\n66162 99266\n53708 80585\n54745 82135\n55207 82819\n80169 100000\n94421 100000\n59336 89036\n4206 6316\n83952 100000\n27496 41411\n1825 2780\n15387 23177\n16066 24215\n29474 44391\n56167 84245\n31348 47200\n79740 100000\n23214 34989\n27521 41449\n79102 100000\n31633 47651\n79184 100000\n42601 64034\n33218 49990\n19083 28746\n18477 27838\n26323 39648\n32587 49068\n60107 90177\n47043 70639\n68076 100000\n8835 13298\n98602 100000\n21707 32728\n49399 74163\n44294 66545\n41961 63087\n29810 44902\n3442 5202\n93281 100000\n94558 100000\n40512 60928\n3379 5106\n85701 100000\n46567 69944\n58272 87413\n85019 100000\n94011 100000\n11169 16807\n40672 61166\n5067 7612\n33593 50541\n87169 100000\n43276 65044\n59102 88673\n90149 100000\n63484 95217\n96361 100000\n50179 75321\n68531 100000\n17425 26267\n97098 100000\n62279 93420\n72507 100000\n29924 45075\n6649 9993\n75575 100000\n63459 95178\n80850 100000\n18364 27662\n82300 100000\n14961 22551\n45130 67797\n91952 100000\n79018 100000\n94012 100000\n3223 4872\n5251 7883\n3722 5604\n40015 60192\n5434 8160\n44246 66474\n78652 100000\n77351 100000\n35116 52820\n4510 6785\n74739 100000\n71657 100000\n31475 47398\n135 204\n5102 7662\n88334 100000\n75854 100000\n42299 63578\n99822 100000\n32861 49472\n63228 94829\n71587 100000\n38255 57561\n72101 100000\n21339 32158\n38344 57690\n7715 11597\n61405 92094\n44361 66642\n46035 69154\n96424 100000\n33751 50780\n66081 99140\n73655 100000\n83308 100000\n33609 50565\n48891 73405\n89681 100000\n97676 100000\n16976 25592\n98459 100000\n93041 100000\n21118 31829\n25169 37928\n88141 100000\n97596 100000\n50646 76024\n63820 95726\n7747 11642\n19852 29931\n74964 100000\n68370 100000\n52352 78564\n61864 92785\n44850 67378\n83299 100000\n10602 15947\n70471 100000\n8461 12723\n98058 100000\n10305 15514\n76927 100000\n2244 3400\n41849 62917\n81830 100000\n48955 73493\n21416 32269\n42841 64385\n66284 99454\n67469 100000\n34304 51599\n14179 21370\n96186 100000\n36165 54391\n24424 36834\n79899 100000\n77212 100000\n52341 78550\n25525 38462\n5509 8268\n60744 91126\n99528 100000\n28510 42950\n57037 85544\n76007 100000\n18934 28516\n73824 100000\n45307 68062\n42097 63285\n20806 31373\n62404 93608\n35608 53561\n63958 95928\n43870 65932\n80171 100000\n73321 100000\n77816 100000\n58886 88345\n60267 90416\n53465 80211\n11988 18062\n41368 62192\n92239 100000\n70544 100000\n84521 100000\n96732 100000\n79806 100000\n80349 100000\n5130 7703\n15605 23515\n36483 54885\n86612 100000\n55714 83580\n26375 39725\n69339 100000\n69890 100000\n30502 45947\n56194 84281\n77003 100000\n56380 84574\n11149 16779\n91954 100000\n23750 35802\n85860 100000\n68333 100000\n63508 95251\n53703 80577\n45968 69055\n37229 56008\n41448 62310\n23580 35553\n63337 94997\n15915 23990\n59773 89681\n8672 13052\n88498 100000\n61500 92231\n52073 78157\n36677 55186\n87721 100000\n46913 70448\n81278 100000\n24332 36695\n11241 16923\n33237 50024\n14679 22127\n69182 100000\n37801 56874\n25910 39028\n10104 15212\n78359 100000\n8200 12334\n91989 100000\n2152 3261\n86575 100000\n11307 17025\n30561 46032\n708 1088\n18285 27547\n33744 50770\n56386 84585\n55172 82763\n8232 12379\n64007 96003\n26234 39509\n35978 54113\n84730 100000\n84169 100000\n18701 28174\n81780 100000\n39259 59049\n79270 100000\n78714 100000\n61994 92981\n37921 57059\n15050 22676\n91417 100000\n39513 59430\n39037 58717\n37183 55945\n53677 80536\n30629 46131\n19925 30051\n23657 35669\n45021 67638\n45862 68898\n38816 58381\n50559 75898\n90353 100000\n18653 28104\n33969 51104\n30789 46379\n50604 75964\n65771 98666\n38725 58252\n57990 86997\n90532 100000\n3779 5691\n69857 100000\n31767 47844\n45688 68647\n96454 100000\n53866 80829\n96772 100000\n27520 41448\n43624 65564\n64386 96557\n96048 100000\n63292 94927\n4377 6574\n82719 100000\n63413 95112\n84873 100000\n77845 100000\n79382 100000\n27984 42148\n65588 98388\n55775 83672\n38630 58114\n83282 100000\n73308 100000\n3084 4660\n71202 100000\n50757 76197\n72976 100000\n29889 45024\n40538 60966\n77657 100000\n91869 100000\n30516 45967\n69099 100000\n50380 75630\n13918 20972\n39330 59159\n35946 54062\n58026 87049\n78854 100000\n59639 89479\n15353 23127\n14035 21153\n71883 100000\n16187 24402\n48926 73456\n70455 100000\n38462 57867\n52553 78857\n71815 100000\n93293 100000\n38831 58405\n18358 27654\n5655 8491\n73777 100000\n32800 49378\n47922 71963\n22559 34007\n64367 96533\n34606 52049\n66376 99594\n99967 100000\n92233 100000\n91039 100000\n24121 36368\n4548 6842\n59308 88988\n24948 37594\n19775 29816\n62922 94371\n39931 60069\n1694 2578\n88031 100000\n12329 18570\n70649 100000\n99836 100000\n98277 100000\n29500 44428\n93860 100000\n7310 10979\n19958 30104\n4375 6570\n6372 9574\n40577 61025\n91602 100000\n24376 36760\n56276 84406\n62883 94314\n32598 49082\n11416 17204\n68637 100000\n74165 100000\n23749 35800\n1684 2561\n38183 57450\n82106 100000\n7066 10611\n40825 61390\n96590 100000\n40686 61185\n67495 100000\n80077 100000\n29277 44110\n31766 47842\n54062 81126\n43891 65965\n98398 100000\n67011 100000\n37270 56068\n7254 10893\n91193 100000\n47351 71103\n61893 92831\n10112 15225\n24871 37477\n5088 7642\n31662 47691\n61287 91928\n5327 7998\n15719 23691\n42685 64151\n92814 100000\n33701 50708\n78628 100000\n22144 33389\n99897 100000\n45393 68187\n33814 50876\n15533 23404\n98567 100000\n92922 100000\n27736 41771\n73107 100000\n94262 100000\n26918 40538\n4237 6362\n6692 10055\n42843 64387\n93001 100000\n52295 78483\n27702 41723\n63012 94512\n25675 38675\n61245 91864\n45040 67665\n11708 17646\n86421 100000\n10627 15986\n95294 100000\n21035 31707\n8509 12796\n99115 100000\n11475 17289\n59620 89450\n89313 100000\n20449 30837\n74603 100000\n26425 39797\n14502 21862\n56117 84178\n3957 5947\n47119 70761\n60255 90399\n52297 78487\n17932 27024\n68236 100000\n62206 93309\n47997 72074\n53610 80433\n60604 90917\n25838 38924\n19199 28923\n98776 100000\n1184 1809\n85043 100000\n78330 100000\n30242 45552\n24917 37546\n74621 100000\n57659 86499\n57716 86584\n33512 50422\n98872 100000\n10209 15366\n26051 39237\n36569 55013\n15384 23174\n71248 100000\n47154 70811\n80988 100000\n36365 54699\n90163 100000\n32113 48351\n55869 83817\n16311 24588\n5784 8693\n10196 15348\n56462 84694\n98981 100000\n39564 59510\n5053 7594\n87013 100000\n72452 100000\n13717 20662\n901 1384\n37361 56211\n48109 72248\n81827 100000\n34769 52294\n32236 48542\n81583 100000\n31532 47487\n97126 100000\n64540 96798\n50431 75712\n37377 56234\n17287 26067\n53880 80849\n51620 77498\n47534 71371\n26700 40210\n65137 97699\n57461 86198\n45640 68573\n36391 54741\n69844 100000\n78899 100000\n23946 36097\n35331 53142\n9368 14092\n25243 38036\n68642 100000\n16619 25046\n84965 100000\n75326 100000\n40280 60584\n441 676\n22574 34033\n80467 100000\n7461 11209\n13280 19999\n35896 53993\n93756 100000\n51427 77199\n77660 100000\n87813 100000\n18639 28082\n4462 6710\n5104 7665\n39061 58756\n79969 100000\n81665 100000\n2687 4066\n88434 100000\n84986 100000\n54807 82230\n78658 100000\n42158 63379\n71593 100000\n52825 79256\n85861 100000\n68721 100000\n83688 100000\n50416 75691\n79959 100000\n18237 27475\n81333 100000\n66127 99211\n24597 37074\n30128 45386\n51096 76703\n84044 100000\n90659 100000\n93985 100000\n7939 11934\n38787 58341\n85010 100000\n97484 100000\n33002 49676\n99065 100000\n6405 9623\n19228 28968\n50649 76029\n96154 100000\n82100 100000\n73160 100000\n72667 100000\n46584 69969\n87278 100000\n36918 55557\n85889 100000\n66536 99830\n3827 5763\n75170 100000\n18871 28424\n51520 77340\n1069 1631\n71948 100000\n75736 100000\n36630 55113\n72561 100000\n73408 100000\n35377 53213\n45482 68319\n6904 10369\n22296 33618\n92997 100000\n87217 100000\n30397 45788\n20780 31332\n89752 100000\n94573 100000\n60200 90313\n67016 100000\n38820 58388\n1617 2462\n39814 59897\n10500 15802\n94753 100000\n73851 100000\n95331 100000\n88828 100000\n48542 72878\n60531 90807\n90343 100000\n45283 68024\n30614 46109\n55993 84000\n97187 100000\n60089 90153\n30050 45267\n8413 12655\n41395 62231\n95241 100000\n25545 38488\n56357 84536\n4471 6725\n15927 24007\n75189 100000\n85563 100000\n57587 86392\n21130 31846\n14907 22471\n6190 9303\n18072 27230\n81367 100000\n68392 100000\n68477 100000\n26099 39312\n43570 65483\n6304 9473\n82706 100000\n87090 100000\n61723 92569\n49510 74331\n71004 100000\n71821 100000\n59061 88612\n31357 47216\n57540 86316\n71195 100000\n80347 100000\n17577 26485\n94430 100000\n13318 20055\n2194 3325\n56402 84606\n83670 100000\n90860 100000\n28748 43325\n24000 36181\n94602 100000\n35895 53991\n77389 100000\n12590 18964\n93430 100000\n36124 54330\n41795 62832\n34565 51989\n29990 45174\n62386 93581\n725 1115\n36009 54159\n27807 41884\n35420 53276\n8185 12310\n63708 95549\n40996 61644\n78227 100000\n13904 20949\n39590 59551\n85174 100000\n51570 77418\n23007 34683\n64791 97185\n30058 45282\n69822 100000\n42502 63877\n68014 100000\n78883 100000\n31106 46850\n25547 38492\n69297 100000\n72136 100000\n31928 48083\n32986 49653\n65564 98348\n9870 14857\n37839 56929\n89691 100000\n30431 45839\n17623 26555\n21366 32199\n44096 66260\n45550 68429\n50630 76003\n44828 67342\n85753 100000\n64253 96375\n90093 100000\n79178 100000\n16842 25387\n19111 28788\n27233 41010\n15166 22850\n23714 35753\n73234 100000\n89841 100000\n81490 100000\n70530 100000\n28454 42870\n97811 100000\n32558 49027\n89337 100000\n87233 100000\n75663 100000\n93876 100000\n63000 94492\n25909 39027\n47047 70644\n57249 85860\n15879 23937\n5534 8309\n1398 2143\n26208 39475\n54322 81509\n73233 100000\n3970 5964\n54551 81842\n29750 44809\n39737 59780\n98183 100000\n55016 82536\n10139 15267\n88176 100000\n46671 70095\n79582 100000\n13672 20596\n28686 43230\n65782 98682\n91238 100000\n5569 8360\n32811 49395\n97990 100000\n45417 68223\n91749 100000\n20834 31413\n97082 100000\n5696 8553\n86623 100000\n39499 59410\n79483 100000\n49649 74529\n12750 19208\n22450 33849\n54813 82240\n4229 6350\n60657 90993\n18018 27144\n78011 100000\n47898 71923\n47356 71109\n61213 91810\n68845 100000\n81540 100000\n11182 16830\n10430 15697\n32355 48719\n40642 61121\n49067 73660\n49846 74820\n29216 44018\n16209 24435\n82167 100000\n13043 19639\n75322 100000\n92007 100000\n94416 100000\n58653 87997\n51208 76877\n77917 100000\n63520 95269\n34320 51626\n26392 39749\n19779 29823\n75640 100000\n32305 48647\n74176 100000\n86416 100000\n9663 14549\n16125 24301\n76755 100000\n64803 97201\n17489 26358\n83462 100000\n51215 76887\n88832 100000\n74919 100000\n64874 97310\n51015 76587\n97545 100000\n159 240\n79208 100000\n71221 100000\n5607 8417\n60895 91350\n15669 23617\n17566 26469\n55357 83041\n24889 37505\n37826 56909\n89612 100000\n77140 100000\n87209 100000\n69897 100000\n72216 100000\n1123 1718\n69794 100000\n17741 26734\n89763 100000\n44900 67460\n48092 72219\n8934 13443\n13348 20098\n19721 29732\n64970 97451\n9144 13754\n98953 100000\n69938 100000\n9141 13748\n50717 76135\n2999 4532\n37735 56776\n1751 2664\n64512 96753\n43819 65857\n94156 100000\n3667 5527\n46477 69810\n6759 10159\n26232 39506\n64679 97008\n4404 6617\n54101 81185\n37086 55798\n83702 100000\n71987 100000\n39118 58840\n13147 19799\n47150 70807\n42741 64239\n74355 100000\n62593 93883\n89996 100000\n47676 71585\n28781 43374\n92917 100000\n37981 57152\n30941 46606\n92047 100000\n75079 100000\n36313 54616\n66317 99508\n88335 100000\n58462 87712\n57307 85952\n66947 100000\n47667 71573\n5256 7891\n82909 100000\n53267 79913\n85305 100000\n8827 13286\n35924 54032\n16980 25599\n60868 91312\n57053 85566\n54596 81911\n33399 50259\n86670 100000\n13837 20845\n2919 4413\n95048 100000\n17924 27013\n42955 64561\n53555 80352\n95907 100000\n91175 100000\n84905 100000\n59650 89495\n70238 100000\n29284 44121\n40913 61519\n30297 45638\n26632 40099\n40360 60704\n93918 100000\n6520 9800\n64632 96937\n98140 100000\n15523 23391\n28767 43352\n92805 100000\n92916 100000\n83025 100000\n83485 100000\n65814 98728\n32284 48613\n2460 3718\n11856 17867\n92818 100000\n59259 88909\n46354 69623\n97087 100000\n16201 24423\n30440 45853\n22528 33962\n42867 64428\n34443 51810\n49225 73905\n35037 52704\n59501 89273\n99325 100000\n5362 8054\n70333 100000\n76468 100000\n3933 5910\n42918 64500\n75201 100000\n44149 66333\n52241 78400\n5974 8979\n98674 100000\n77147 100000\n58267 87406\n56494 84743\n78140 100000\n5240 7864\n36450 54832\n85863 100000\n44312 66573\n27586 41547\n59440 89185\n69533 100000\n64677 97004\n79503 100000\n32851 49457\n45339 68111\n77055 100000\n40957 61585\n39388 59247\n88232 100000\n85430 100000\n36066 54247\n69598 100000\n23162 34910\n48880 73388\n87606 100000\n43753 65762\n8223 12366\n82640 100000\n28104 42328\n10297 15503\n42100 63290\n3405 5145\n90895 100000\n44272 66512\n54993 82502\n33375 50224\n64672 96996\n71071 100000\n74546 100000\n44469 66803\n98294 100000\n70716 100000\n83157 100000\n19179 28890\n2157 3270\n76122 100000\n87176 100000\n25204 37977\n27904 42030\n54675 82031\n90863 100000\n31759 47832\n62886 94318\n7325 11005\n78216 100000\n20614 31090\n61505 92238\n28365 42734\n38414 57797\n81458 100000\n95021 100000\n78609 100000\n59258 88908\n22624 34116\n58534 87817\n83926 100000\n57666 86509\n53727 80616\n11977 18047\n686 1053\n29526 44468\n41721 62720\n59579 89390\n57241 85848\n63389 95077\n61061 91590\n3910 5877\n17124 25819\n14512 21876\n87008 100000\n78224 100000\n25798 38865\n18389 27697\n67498 100000\n45791 68796\n91300 100000\n26349 39685\n30631 46134\n16962 25572\n71406 100000\n10289 15491\n34350 51669\n45847 68874\n47835 71832\n16390 24704\n97540 100000\n27370 41222\n11910 17948\n75762 100000\n63409 95105\n84762 100000\n74363 100000\n15976 24074\n34290 51576\n75924 100000\n99541 100000\n89744 100000\n60074 90131\n71848 100000\n99660 100000\n59324 89016\n67116 100000\n53011 79535\n9937 14962\n48172 72343\n8199 12332\n52427 78675\n6296 9462\n42664 64123\n77894 100000\n29111 43860\n41120 61831\n6600 9917\n2724 4121\n21207 31957\n9687 14589\n12433 18728\n58056 87096\n35891 53985\n7632 11471\n10887 16384\n6278 9437\n93647 100000\n49768 74708\n92433 100000\n73653 100000\n2769 4190\n12838 19331\n61293 91936\n20703 31222\n36552 54988\n10678 16067\n50812 76283\n43689 65665\n45251 67975\n37038 55733\n17942 27036\n36753 55304\n4880 7332\n34662 52132\n56723 85090\n94912 100000\n38969 58617\n13732 20687\n58590 87899\n62717 94068\n54074 81145\n67625 100000\n14625 22045\n53719 80603\n78649 100000\n78259 100000\n60611 90925\n55773 83669\n63601 95389\n39571 59521\n22770 34329\n94180 100000\n62650 93968\n96103 100000\n40692 61195\n31255 47067\n74717 100000\n28207 42491\n32439 48848\n2008 3054\n54427 81662\n25515 38450\n84996 100000\n85737 100000\n70470 100000\n88792 100000\n44598 66998\n40734 61258\n41751 62762\n22026 33202\n56089 84135\n6647 9989\n80887 100000\n5728 8604\n92488 100000\n96041 100000\n76401 100000\n83164 100000\n81877 100000\n95905 100000\n15374 23159\n48952 73490\n67322 100000\n5156 7738\n47775 71739\n11888 17914\n52514 78800\n17636 26571\n20641 31129\n53313 79981\n45449 68272\n11502 17331\n95211 100000\n91396 100000\n21466 32350\n5316 7980\n95342 100000\n11034 16601\n96001 100000\n25237 38026\n80190 100000\n36079 54265\n54103 81188\n95225 100000\n26717 40236\n47260 70964\n98254 100000\n89050 100000\n59946 89942\n67680 100000\n8230 12376\n60900 91357\n36959 55613\n16313 24591\n94859 100000\n65352 98022\n93671 100000\n72585 100000\n28977 43661\n27315 41136\n83583 100000\n18264 27515\n83071 100000\n52200 78336\n17519 26403\n86037 100000\n21156 31885\n98897 100000\n66955 100000\n56303 84451\n1132 1731\n3247 4906\n16242 24484\n13182 19851\n97442 100000\n86085 100000\n99959 100000\n19982 30136\n4326 6501\n68164 100000\n9884 14880\n2808 4245\n87773 100000\n92681 100000\n14622 22040\n37608 56584\n14825 22348\n79458 100000\n8620 12974\n59607 89432\n73413 100000\n89881 100000\n95165 100000\n23824 35914\n66982 100000\n92125 100000\n6349 9543\n61997 92986\n51239 76920\n13361 20118\n27172 40916\n10598 15943\n89551 100000\n78046 100000\n81245 100000\n1675 2549\n83052 100000\n67940 100000\n23193 34957\n2863 4323\n99090 100000\n12200 18375\n79990 100000\n57176 85751\n41472 62347\n17545 26441\n64158 96235\n27523 41452\n37670 56675\n70859 100000\n46848 70353\n50902 76414\n516 789\n90818 100000\n56361 84542\n26326 39653\n75939 100000\n29819 44916\n63842 95755\n55873 83823\n74843 100000\n90873 100000\n15343 23112\n57752 86636\n84059 100000\n16944 25544\n18905 28473\n93774 100000\n25143 37891\n63903 95846\n31836 47950\n11589 17465\n94831 100000\n9430 14189\n95200 100000\n37330 56159\n56852 85275\n77269 100000\n11920 17964\n4648 6983\n72006 100000\n16777 25287\n24894 37513\n83693 100000\n61922 92873\n78333 100000\n12865 19368\n53177 79789\n69057 100000\n50067 75147\n56199 84289\n27293 41101\n19862 29949\n74724 100000\n33321 50145\n1288 1961\n8536 12840\n56629 84945\n67092 100000\n1116 1707\n19781 29826\n54268 81431\n51518 77338\n41440 62298\n24518 36971\n49687 74584\n73052 100000\n62186 93278\n68450 100000\n53954 80969\n47506 71326\n13848 20863\n76387 100000\n72011 100000\n36660 55159\n41199 61948\n90082 100000\n96312 100000\n82083 100000\n38174 57436\n93979 100000\n79781 100000\n36001 54147\n87975 100000\n18167 27367\n83749 100000\n55660 83497\n34809 52354\n49059 73648\n28601 43094\n11409 17191\n70319 100000\n17954 27052\n2776 4202\n71281 100000\n12044 18147\n94775 100000\n52586 78910\n32038 48244\n55310 82978\n38620 58100\n17592 26509\n9525 14340\n28988 43677\n95041 100000\n81394 100000\n28463 42883\n25126 37861\n50139 75262\n89344 100000\n17504 26380\n84265 100000\n29838 44944\n37864 56967\n17631 26565\n15402 23200\n87657 100000\n22464 33870\n67085 100000\n52109 78207\n74472 100000\n81038 100000\n35343 53162\n79196 100000\n45602 68510\n3219 4865\n85005 100000\n50647 76025\n68352 100000\n80085 100000\n63649 95458\n29672 44686\n87165 100000\n89508 100000\n4009 6022\n68198 100000\n43401 65238\n92357 100000\n64303 96446\n66574 99887\n40153 60393\n14812 22327\n36348 54673\n53447 80184\n58638 87972\n33446 50327\n88602 100000\n26761 40305\n4806 7221\n83582 100000\n45067 67704\n95146 100000\n16184 24396\n68828 100000\n87182 100000\n82873 100000\n17507 26384\n13512 20356\n33076 49785\n20509 30932\n37984 57156\n79163 100000\n34151 51364\n63018 94521\n214 329\n38600 58068\n15103 22760\n29340 44207\n76303 100000\n80402 100000\n30129 45387\n2667 4037\n82848 100000\n2640 3994\n89662 100000\n35079 52766\n4794 7204\n77741 100000\n80723 100000\n81342 100000\n81199 100000\n56998 85487\n25698 38711\n19519 29421\n46382 69667\n92540 100000\n31016 46710\n56072 84114\n33303 50119\n97828 100000\n8613 12963\n38971 58619\n87851 100000\n86546 100000\n73510 100000\n87130 100000\n47421 71205\n76668 100000\n37002 55679\n80255 100000\n12152 18304\n27592 41556\n21115 31826\n41378 62207\n62538 93802\n80986 100000\n4974 7469\n76661 100000\n94582 100000\n67249 100000\n12964 19517\n85239 100000\n74810 100000\n37750 56800\n48417 72697\n33683 50678\n6823 10250\n24843 37436\n84742 100000\n42547 63953\n4836 7265\n61395 92080\n32421 48822\n76764 100000\n32000 48182\n46981 70550\n96464 100000\n81479 100000\n4014 6030\n67340 100000\n58314 87482\n3855 5798\n85226 100000\n23366 35228\n80445 100000\n3912 5879\n81308 100000\n81095 100000\n56838 85254\n64930 97392\n66594 99918\n4750 7133\n67350 100000\n23800 35876\n41856 62927\n22153 33402\n24186 36463\n66296 99474\n77900 100000\n27766 41821\n82358 100000\n38014 57198\n97476 100000\n72539 100000\n23805 35882\n56394 84595\n47939 71991\n21662 32654\n5978 8987\n67388 100000\n52158 78277\n23137 34871\n59637 89476\n73476 100000\n99858 100000\n52969 79474\n34361 51684\n4952 7437\n7888 11855\n45743 68725\n82487 100000\n17257 26023\n90392 100000\n6031 9069\n45700 68664\n53071 79633\n63181 94763\n99910 100000\n32147 48403\n29581 44553\n62845 94257\n2094 3179\n97705 100000\n69629 100000\n66974 100000\n20223 30499\n69607 100000\n57374 86064\n9550 14380\n41029 61696\n19578 29511\n24215 36512\n72331 100000\n1585 2417\n51219 76893\n37536 56478\n58570 87869\n68423 100000\n49544 74377\n2742 4149\n44464 66795\n99901 100000\n4534 6820\n61956 92921\n51955 77991\n68952 100000\n70300 100000\n16415 24742\n80830 100000\n45406 68206\n59256 88906\n97736 100000\n37513 56443\n28470 42893\n39552 59489\n54874 82323\n47888 71906\n82375 100000\n78804 100000\n51390 77143\n47083 70705\n67313 100000\n18838 28373\n62359 93539\n15437 23250\n5317 7982\n54584 81893\n17100 25782\n93092 100000\n48027 72119\n37077 55784\n39950 60093\n80367 100000\n13780 20761\n7958 11962\n85279 100000\n67611 100000\n71168 100000\n17553 26452\n77420 100000\n85858 100000\n66052 99093\n30923 46582\n85875 100000\n957 1465\n96784 100000\n35239 53012\n43778 65797\n12749 19207\n57860 86795\n84771 100000\n56797 85194\n79117 100000\n64348 96510\n72919 100000\n22446 33843\n30131 45391\n82752 100000\n15170 22855\n82650 100000\n27764 41818\n66250 99403\n20142 30378\n21586 32540\n16678 25133\n99553 100000\n41726 62727\n27424 41302\n2427 3665\n1051 1603\n49874 74861\n93685 100000\n13801 20789\n8318 12508\n48064 72174\n630 966\n53170 79778\n67079 100000\n67062 100000\n1639 2496\n49640 74514\n32560 49030\n35897 53994\n39455 59347\n53944 80952\n62869 94291\n97181 100000\n86744 100000\n58551 87842\n23095 34810\n20694 31208\n57121 85667\n40542 60971\n77543 100000\n45161 67844\n57199 85784\n9172 13794\n37289 56096\n76955 100000\n74020 100000\n22234 33521\n42361 63666\n496 757\n19333 29138\n41832 62887\n52491 78768\n43650 65603\n50025 75082\n15430 23239\n51777 77729\n41794 62830\n74373 100000\n78299 100000\n55929 83909\n77158 100000\n87077 100000\n3812 5739\n87591 100000\n48523 72851\n2644 4001\n78866 100000\n84820 100000\n56952 85426\n78210 100000\n76839 100000\n15569 23459\n67225 100000\n12037 18137\n41335 62147\n3992 5994\n37189 55953\n12441 18741\n32304 48645\n2263 3427\n7887 11854\n20666 31167\n33752 50782\n16854 25406\n5641 8470\n27228 41001\n26442 39820\n11955 18014\n4397 6605\n75046 100000\n49192 73853\n48865 73366\n21851 32939\n73523 100000\n10287 15489\n46823 70319\n40401 60761\n98228 100000\n46321 69573\n39307 59123\n7537 11326\n71477 100000\n94659 100000\n46006 69109\n70059 100000\n23085 34796\n94575 100000\n60218 90343\n5208 7813\n89187 100000\n38026 57215\n14041 21162\n64493 96723\n66747 100000\n46642 70054\n63786 95675\n46924 70465\n41654 62622\n56560 84846\n20954 31588\n18939 28523\n47170 70829\n9817 14776\n50032 75092\n6438 9676\n83543 100000\n80646 100000\n54483 81741\n9027 13583\n61135 91699\n59131 88718\n55795 83701\n813 1251\n38827 58397\n50177 75318\n88267 100000\n37866 56971\n7330 11013\n32673 49194\n51890 77898\n94577 100000\n6877 10329\n41264 62045\n48418 72698\n44945 67523\n48294 72517\n42335 63626\n33985 51126\n58887 88347\n16717 25194\n85711 100000\n16092 24252\n30555 46024\n5688 8540\n72026 100000\n45558 68441\n90523 100000\n47858 71866\n97746 100000\n70245 100000\n3728 5615\n91253 100000\n86990 100000\n70147 100000\n93660 100000\n20926 31550\n45691 68650\n26382 39735\n27158 40894\n31193 46980\n18121 27303\n56095 84144\n98911 100000\n33771 50813\n34766 52289\n42375 63690\n51962 78001\n52032 78103\n5060 7601\n21210 31961\n69199 100000\n83323 100000\n89948 100000\n86296 100000\n24705 37235\n70100 100000\n33080 49791\n444 682\n96901 100000\n81572 100000\n8878 13359\n42968 64581\n25333 38170\n85280 100000\n35690 53682\n42321 63607\n65302 97943\n9890 14891\n79570 100000\n86617 100000\n57106 85645\n26903 40518\n71554 100000\n30845 46461\n28279 42602\n43771 65789\n22004 33167\n17492 26363\n54575 81879\n78387 100000\n35028 52691\n65991 99004\n69152 100000\n28352 42718\n38269 57581\n6790 10206\n80991 100000\n35325 53133\n72576 100000\n37929 57070\n5403 8112\n40329 60653\n17884 26952\n42962 64571\n92867 100000\n83551 100000\n72968 100000\n77573 100000\n88318 100000\n41268 62051\n30124 45379\n75580 100000\n18145 27336\n95726 100000\n22320 33652\n67710 100000\n51823 77800\n71813 100000\n2376 3597\n61561 92321\n72041 100000\n51963 78002\n75911 100000\n20227 30504\n88484 100000\n75713 100000\n25348 38192\n99034 100000\n25936 39067\n42046 63208\n92900 100000\n28809 43417\n26529 39950\n75675 100000\n88610 100000\n54597 81913\n33547 50470\n89450 100000\n72151 100000\n20497 30914\n35442 53309\n36115 54315\n58492 87757\n42324 63611\n1230 1876\n8498 12780\n36281 54565\n66968 100000\n53323 79993\n31716 47774\n75436 100000\n65599 98406\n85977 100000\n85277 100000\n59050 88595\n96709 100000\n91485 100000\n51178 76839\n91323 100000\n91196 100000\n12045 18149\n70932 100000\n91739 100000\n48086 72211\n28990 43681\n91179 100000\n3825 5760\n74740 100000\n84431 100000\n16498 24863\n77384 100000\n32819 49405\n2326 3523\n72877 100000\n96261 100000\n34976 52612\n78739 100000\n29017 43719\n7042 10569\n51014 76585\n4177 6270\n87867 100000\n38367 57724\n30959 46636\n57127 85677\n48036 72132\n42313 63597\n24132 36382\n50395 75656\n17890 26963\n79763 100000\n41138 61856\n10479 15768\n77266 100000\n62438 93661\n70311 100000\n65192 97780\n1736 2643\n5785 8695\n82540 100000\n80115 100000\n28807 43415\n86138 100000\n70779 100000\n80326 100000\n51046 76632\n94798 100000\n82623 100000\n39159 58905\n81077 100000\n61595 92371\n46912 70447\n43858 65916\n82256 100000\n3148 4759\n93383 100000\n17867 26923\n82208 100000\n38152 57399\n99972 100000\n3742 5637\n64928 97389\n44417 66728\n63085 94619\n70934 100000\n19723 29735\n50984 76538\n77792 100000\n88506 100000\n74976 100000\n2208 3346\n78139 100000\n35242 53016\n60962 91446\n15460 23289\n4127 6193\n32450 48866\n89994 100000\n69002 100000\n97169 100000\n35362 53191\n58928 88412\n482 736\n33738 50761\n21009 31672\n81601 100000\n15653 23590\n62899 94336\n42977 64595\n83539 100000\n82174 100000\n39398 59262\n8508 12795\n4481 6738\n70653 100000\n75508 100000\n46547 69912\n16620 25048\n42639 64088\n43113 64799\n15663 23607\n90832 100000\n82852 100000\n71921 100000\n66732 100000\n50850 76334\n89398 100000\n3067 4632\n15449 23270\n71869 100000\n60273 90426\n21155 31884\n44506 66855\n55792 83698\n72765 100000\n85313 100000\n32730 49277\n22425 33812\n36482 54884\n32090 48320\n23601 35581\n24158 36420\n68652 100000\n85495 100000\n40654 61139\n5956 8952\n24761 37318\n98054 100000\n55438 83162\n6803 10222\n4814 7235\n82669 100000\n94682 100000\n68054 100000\n4033 6058\n20027 30201\n48796 73263\n65710 98568\n98677 100000\n5950 8943\n85973 100000\n56808 85208\n6744 10138\n67656 100000\n25270 38078\n39042 58723\n31241 47050\n65602 98410\n96804 100000\n10436 15707\n24401 36797\n4083 6132\n56065 84105\n73415 100000\n55075 82621\n11364 17118\n14423 21744\n42800 64325\n24525 36982\n79801 100000\n36609 55078\n58757 88159\n90682 100000\n49104 73714\n26402 39765\n20566 31022\n57921 86889\n93626 100000\n95157 100000\n1943 2957\n63092 94631\n17922 27010\n50892 76399\n58473 87727\n71965 100000\n84198 100000\n61360 92030\n81145 100000\n18612 28042\n90677 100000\n28434 42840\n82927 100000\n8245 12399\n12646 19054\n74065 100000\n63299 94935\n28091 42309\n10232 15400\n62718 94070\n7057 10594\n60261 90406\n84657 100000\n16829 25368\n18899 28465\n32412 48810\n93292 100000\n90730 100000\n18706 28179\n53382 80086\n27247 41028\n23188 34951\n76480 100000\n5000 7506\n11531 17376\n96684 100000\n69362 100000\n87054 100000\n61352 92016\n26093 39303\n74244 100000\n11214 16879\n90742 100000\n26432 39806\n10725 16140\n86083 100000\n24677 37194\n63126 94681\n47829 71823\n6221 9349\n88206 100000\n56795 85191\n81473 100000\n71870 100000\n62292 93440\n44148 66332\n72333 100000\n50671 76062\n90631 100000\n27266 41059\n70566 100000\n12354 18609\n75767 100000\n93316 100000\n55758 83646\n66323 99517\n16353 24648\n46176 69365\n5471 8214\n42277 63547\n96101 100000\n70447 100000\n41760 62774\n26299 39610\n49654 74536\n45861 68897\n67339 100000\n83360 100000\n17332 26132\n38251 57555\n61712 92552\n3764 5667\n37559 56509\n6086 9155\n46119 69283\n48765 73219\n55352 83034\n70924 100000\n98866 100000\n83429 100000\n31691 47739\n77970 100000\n33668 50652\n18286 27548\n36326 54637\n99854 100000\n93210 100000\n13381 20151\n33009 49687\n58768 88176\n73656 100000\n22640 34138\n40685 61184\n16871 25434\n5670 8515\n86806 100000\n95344 100000\n10304 15513\n21846 32931\n43052 64702\n87953 100000\n22586 34055\n51655 77548\n13272 19989\n30957 46633\n69678 100000\n95568 100000\n42062 63232\n10183 15327\n468 716\n16631 25064\n47229 70914\n469 717\n79747 100000\n94711 100000\n92222 100000\n1326 2021\n43965 66072\n48072 72187\n43944 66044\n67345 100000\n79337 100000\n83816 100000\n9292 13982\n68904 100000\n41577 62502\n86361 100000\n27721 41749\n94114 100000\n17460 26315\n20719 31246\n66592 99915\n57665 86507\n88861 100000\n26459 39848\n52165 78287\n15096 22748\n85274 100000\n79449 100000\n24605 37087\n31529 47483\n55496 83251\n45609 68523\n15378 23165\n6518 9797\n32468 48896\n28222 42513\n64503 96739\n94166 100000\n6730 10115\n29723 44767\n94362 100000\n56351 84526\n21238 32002\n34927 52538\n93623 100000\n39622 59601\n83595 100000\n13364 20122\n58348 87531\n46175 69363\n79154 100000\n5045 7581\n87791 100000\n58716 88095\n3299 4982\n51434 77208\n24840 37431\n75230 100000\n19957 30102\n72197 100000\n881 1352\n18907 28475\n69214 100000\n56737 85109\n59227 88863\n12680 19104\n12545 18897\n80463 100000\n70014 100000\n65580 98374\n32590 49072\n36511 54925\n21597 32556\n88170 100000\n60375 90573\n39865 59966\n61054 91577\n93009 100000\n82113 100000\n72192 100000\n77242 100000\n97622 100000\n26012 39176\n44925 67493\n33268 50070\n41595 62529\n19530 29436\n18275 27532\n98555 100000\n74474 100000\n36357 54688\n6192 9305\n49276 73978\n92348 100000\n86256 100000\n67221 100000\n74985 100000\n91439 100000\n73862 100000\n29257 44079\n98803 100000\n97856 100000\n33558 50487\n69551 100000\n49167 73813\n57820 86734\n93488 100000\n45280 68020\n23896 36022\n56313 84466\n7258 10898\n84878 100000\n61379 92056\n91337 100000\n27271 41067\n59999 90021\n89674 100000\n89515 100000\n40852 61429\n43724 65716\n45193 67893\n13477 20300\n82499 100000\n90660 100000\n51175 76833\n40200 60462\n76508 100000\n94184 100000\n57038 85546\n50904 76418\n92803 100000\n71729 100000\n21196 31939\n52612 78946\n78347 100000\n78746 100000\n27147 40877\n31765 47841\n22458 33861\n35262 53044\n60969 91456\n12211 18390\n73792 100000\n10698 16097\n78760 100000\n99648 100000\n25231 38017\n46161 69344\n788 1214\n9502 14302\n8932 13440\n89942 100000\n39326 59151\n65625 98439\n26476 39873\n37634 56622\n35066 52748\n72182 100000\n85118 100000\n98792 100000\n25427 38311\n57905 86866\n97539 100000\n51577 77428\n68857 100000\n60788 91193\n94554 100000\n10221 15383\n8496 12777\n32577 49054\n16314 24593\n68011 100000\n59801 89724\n87948 100000\n23255 35052\n57545 86325\n8522 12818\n11653 17559\n11892 17920\n7786 11699\n48892 73407\n70240 100000\n55721 83591\n67482 100000\n33311 50130\n43585 65505\n88308 100000\n98394 100000\n39427 59303\n58343 87524\n6348 9541\n42911 64490\n62605 93902\n26172 39421\n70174 100000\n44588 66982\n35950 54069\n34840 52402\n87051 100000\n71466 100000\n85645 100000\n48844 73332\n33296 50110\n53678 80537\n88956 100000\n81478 100000\n85110 100000\n82879 100000\n56669 85006\n79442 100000\n73280 100000\n65685 98529\n90127 100000\n59199 88822\n67386 100000\n62085 93115\n7841 11785\n82694 100000\n96951 100000\n53621 80449\n69792 100000\n4903 7367\n43367 65187\n30758 46331\n30934 46597\n39185 58942\n47199 70868\n15515 23376\n96976 100000\n35381 53220\n33820 50885\n26472 39866\n41881 62965\n20012 30180\n37305 56119\n1214 1855\n17713 26689\n86891 100000\n71724 100000\n36440 54818\n84707 100000\n38045 57239\n94863 100000\n87490 100000\n75463 100000\n7462 11210\n71958 100000\n76626 100000\n71555 100000\n100 150\n49945 74963\n7820 11753\n94454 100000\n39265 59059\n92075 100000\n41126 61841\n84259 100000\n34867 52445\n29817 44912\n78800 100000\n60967 91453\n39787 59858\n1682 2558\n76666 100000\n10334 15555\n46759 70216\n53669 80523\n3496 5284\n44221 66441\n61012 91520\n62125 93177\n70128 100000\n71675 100000\n61487 92211\n21863 32958\n81571 100000\n41257 62035\n11586 17460\n2884 4357\n34907 52507\n36764 55321\n97628 100000\n71383 100000\n58185 87290\n89954 100000\n32756 49314\n26624 40085\n69077 100000\n32476 48910\n38974 58624\n21124 31838\n42659 64115\n62665 93988\n5745 8634\n81286 100000\n70393 100000\n60126 90204\n1509 2307\n82904 100000\n95118 100000\n3113 4702\n22716 34247\n31126 46880\n56684 85030\n74346 100000\n37955 57113\n40135 60369\n97874 100000\n65363 98041\n1993 3030\n95275 100000\n30515 45965\n57879 86827\n42373 63687\n5990 9005\n4517 6796\n85065 100000\n42599 64031\n90628 100000\n65018 97521\n18172 27376\n62625 93935\n10285 15486\n99379 100000\n24802 37374\n99028 100000\n91120 100000\n95694 100000\n68421 100000\n19252 29005\n99970 100000\n80532 100000\n53600 80419\n36347 54671\n45036 67660\n2795 4228\n35524 53433\n1385 2122\n38582 58040\n69608 100000\n52171 78296\n51106 76719\n41525 62427\n97377 100000\n782 1205\n85708 100000\n1998 3039\n59444 89190\n20416 30784\n304 466\n12788 19260\n13893 20931\n44801 67302\n5656 8493\n53737 80628\n48849 73340\n28411 42803\n72279 100000\n97017 100000\n81835 100000\n24741 37290\n39059 58753\n139 209\n70970 100000\n97240 100000\n63105 94651\n66333 99533\n98940 100000\n83452 100000\n58157 87248\n4992 7495\n36667 55169\n46205 69410\n15940 24023\n76598 100000\n53223 79853\n55140 82719\n53766 80674\n84680 100000\n70465 100000\n36494 54901\n20066 30262\n16062 24210\n30568 46043\n4812 7231\n21229 31989\n38826 58395\n7906 11884\n45441 68260\n98298 100000\n39333 59165\n28806 43413\n45396 68191\n38054 57256\n7126 10698\n59709 89589\n21757 32802\n65948 98939\n73460 100000\n36029 54189\n78461 100000\n31527 47480\n27390 41254\n5547 8329\n9154 13771\n49262 73959\n11549 17402\n19050 28694\n85419 100000\n58284 87431\n84442 100000\n39541 59473\n52054 78132\n17986 27100\n92419 100000\n6893 10353\n85735 100000\n86033 100000\n99446 100000\n26638 40109\n10339 15562\n3497 5285\n6323 9504\n28710 43265\n73176 100000\n60444 90679\n16485 24845\n87279 100000\n91706 100000\n21542 32468\n62571 93852\n86309 100000\n92050 100000\n38605 58075\n89203 100000\n37263 56059\n45641 68575\n22723 34258\n53988 81016\n97143 100000\n11370 17128\n19858 29941\n70229 100000\n92696 100000\n19220 28957\n40352 60690\n79179 100000\n72805 100000\n24504 36950\n1564 2384\n45817 68831\n45673 68622\n62853 94269\n2774 4198\n2810 4248\n39500 59411\n12829 19320\n78875 100000\n96012 100000\n70362 100000\n91314 100000\n84923 100000\n33091 49808\n51229 76907\n68513 100000\n77403 100000\n8306 12488\n43820 65859\n7743 11637\n19621 29578\n58039 87067\n75992 100000\n34411 51761\n51033 76612\n12419 18707\n56811 85213\n88344 100000\n44329 66595\n40877 61466\n41002 61655\n25921 39045\n54609 81934\n82944 100000\n67164 100000\n77500 100000\n95573 100000\n77409 100000\n27392 41257\n54808 82231\n28700 43250\n92235 100000\n47606 71479\n75988 100000\n23217 34995\n84823 100000\n29701 44732\n53050 79596\n63229 94831\n47457 71257\n26938 40565\n77089 100000\n17406 26240\n87723 100000\n97084 100000\n77504 100000\n38872 58468\n68230 100000\n87025 100000\n28864 43498\n24195 36479\n94023 100000\n93564 100000\n8408 12647\n34774 52301\n25850 38941\n28088 42304\n24911 37538\n14466 21809\n29795 44882\n77182 100000\n68334 100000\n86094 100000\n48085 72210\n1262 1923\n13622 20518\n1519 2319\n46989 70562\n25465 38370\n67207 100000\n18693 28163\n10928 16442\n16129 24307\n14590 21992\n90311 100000\n89339 100000\n81924 100000\n33692 50692\n23218 34997\n23371 35237\n51243 76925\n43912 65994\n13718 20664\n52372 78591\n831 1277\n77525 100000\n57922 86891\n85923 100000\n91853 100000\n62052 93065\n87737 100000\n51059 76651\n6606 9925\n33362 50204\n56930 85395\n59606 89431\n89648 100000\n23409 35302\n77997 100000\n81221 100000\n65281 97911\n38047 57243\n58008 87023\n94716 100000\n85759 100000\n70405 100000\n36559 54997\n96365 100000\n38242 57538\n61717 92560\n98696 100000\n95886 100000\n7071 10617\n39312 59130\n75217 100000\n49435 74219\n43573 65488\n20398 30758\n57040 85549\n18660 28114\n46 73\n50897 76406\n44252 66483\n76846 100000\n45616 68535\n14969 22564\n57418 86131\n91897 100000\n27688 41704\n87601 100000\n19138 28827\n5980 8989\n50076 75160\n66251 99404\n47263 70967\n58413 87637\n94982 100000\n33522 50437\n78039 100000\n53147 79742\n25085 37805\n30365 45738\n16925 25516\n25455 38354\n37223 56000\n64876 97314\n55655 83491\n59655 89502\n19771 29811\n53427 80155\n70175 100000\n7418 11148\n54423 81656\n98540 100000\n89457 100000\n42577 63998\n396 610\n28596 43087\n50745 76178\n7639 11480\n34316 51621\n96 145\n97605 100000\n74464 100000\n67351 100000\n78121 100000\n92182 100000\n30226 45529\n41808 62850\n64128 96192\n70896 100000\n59822 89756\n17859 26911\n29887 45020\n82314 100000\n36026 54184\n2590 3919\n86470 100000\n14304 21561\n4560 6857\n81085 100000\n66528 99819\n29233 44042\n59184 88798\n39164 58911\n32480 48914\n34301 51593\n85455 100000\n51818 77790\n54974 82471\n24687 37206\n30030 45233\n8818 13274\n38040 57233\n83045 100000\n89500 100000\n38709 58228\n46304 69549\n56436 84653\n63904 95847\n76313 100000\n37983 57154\n65798 98706\n82656 100000\n63250 94863\n11127 16744\n10636 16001\n63699 95534\n91624 100000\n57261 85878\n40878 61468\n70873 100000\n23096 34812\n47271 70979\n88754 100000\n58163 87257\n21295 32092\n91136 100000\n49750 74678\n88415 100000\n82080 100000\n70955 100000\n90743 100000\n4498 6766\n81615 100000\n13429 20223\n11960 18020\n51010 76579\n31661 47690\n65660 98490\n62233 93353\n57902 86862\n37332 56163\n85160 100000\n54269 81433\n2232 3382\n46721 70159\n78892 100000\n79107 100000\n8581 12911\n43034 64678\n9079 13658\n26141 39376\n65422 98134\n64969 97450\n84705 100000\n69483 100000\n60946 91425\n11150 16780\n89046 100000\n86064 100000\n27519 41446\n829 1274\n63164 94736\n58777 88190\n98002 100000\n77502 100000\n2946 4453\n78038 100000\n72811 100000\n81154 100000\n22973 34634\n55762 83651\n32971 49632\n23789 35859\n29084 43820\n65735 98609\n40981 61622\n36204 54449\n13288 20011\n32114 48352\n18709 28185\n68479 100000\n96679 100000\n20434 30815\n43490 65364\n31857 47980\n92415 100000\n2275 3445\n78277 100000\n35841 53911\n96633 100000\n15137 22809\n55479 83227\n22898 34522\n57588 86393\n57955 86943\n13950 21029\n9848 14823\n4059 6096\n33339 50174\n66652 100000\n68646 100000\n97658 100000\n27566 41519\n20639 31125\n32523 48977\n37395 56264\n12244 18441\n17525 26411\n37081 55790\n86414 100000\n62173 93255\n6484 9746\n83509 100000\n97787 100000\n25486 38404\n13489 20318\n22520 33951\n71027 100000\n92017 100000\n39903 60027\n40500 60909\n4051 6085\n13200 19879\n98799 100000\n57554 86338\n37894 57014\n57305 85948\n81907 100000\n42958 64564\n36028 54188\n94870 100000\n70211 100000\n7178 10779\n65736 98611\n32926 49570\n32761 49321\n11401 17178\n45335 68105\n74552 100000\n66688 100000\n28375 42746\n89083 100000\n51235 76915\n32169 48439\n76917 100000\n13985 21081\n85390 100000\n32719 49262\n35412 53265\n42953 64558\n63823 95730\n77529 100000\n39542 59475\n56543 84822\n53799 80725\n10323 15540\n77214 100000\n58354 87542\n23303 35130\n75248 100000\n62413 93622\n46451 69770\n13804 20794\n77981 100000\n48579 72930\n92077 100000\n49994 75038\n71963 100000\n43530 65421\n22240 33530\n43894 65969\n7011 10524\n30886 46526\n88692 100000\n28148 42398\n77787 100000\n59745 89640\n51417 77184\n48575 72923\n53870 80836\n94773 100000\n98421 100000\n80713 100000\n12273 18486\n67970 100000\n52546 78847\n37201 55970\n21702 32720\n86257 100000\n30734 46293\n24611 37096\n45846 68873\n40864 61446\n35070 52754\n40848 61421\n86529 100000\n25877 38983\n62376 93567\n96526 100000\n92705 100000\n15704 23667\n15870 23926\n30609 46102\n38161 57413\n64175 96259\n24155 36416\n31847 47965\n70617 100000\n10046 15128\n38389 57758\n57039 85547\n19141 28831\n34330 51640\n79735 100000\n13919 20974\n34028 51194\n5686 8537\n62719 94071\n39953 60098\n28364 42733\n59535 89320\n3160 4777\n44116 66288\n25069 37782\n39234 59014\n72602 100000\n11474 17287\n95914 100000\n75293 100000\n65756 98642\n79097 100000\n4931 7409\n90117 100000\n14652 22087\n20785 31339\n80039 100000\n92574 100000\n94840 100000\n95001 100000\n71642 100000\n24861 37461\n16905 25487\n44423 66738\n25244 38037\n13822 20821\n11874 17894\n13142 19790\n71635 100000\n32688 49218\n86504 100000\n87056 100000\n25733 38763\n70856 100000\n74221 100000\n75107 100000\n38588 58049\n55383 83077\n89028 100000\n19960 30107\n78927 100000\n55985 83990\n86061 100000\n62901 94339\n46536 69894\n9470 14249\n52644 78989\n14493 21848\n60870 91315\n24151 36411\n10805 16261\n72125 100000\n909 1393\n46350 69616\n86298 100000\n85584 100000\n97364 100000\n2658 4020\n47107 70743\n29694 44722\n74300 100000\n77159 100000\n14774 22272\n84430 100000\n34635 52089\n24139 36394\n77170 100000\n67470 100000\n54665 82017\n66112 99186\n28784 43379\n29764 44833\n70438 100000\n71203 100000\n70134 100000\n37752 56802\n86290 100000\n2480 3750\n52228 78378\n2960 4474\n93898 100000\n91776 100000\n25252 38049\n76673 100000\n50633 76008\n89548 100000\n55044 82574\n57563 86352\n99345 100000\n18548 27944\n71120 100000\n61132 91693\n56200 84291\n43077 64741\n65843 98775\n70509 100000\n56221 84325\n97826 100000\n68633 100000\n84111 100000\n41183 61921\n16502 24870\n25087 37808\n15397 23192\n19505 29401\n74748 100000\n15517 23380\n67453 100000\n76899 100000\n58998 88520\n2624 3970\n96083 100000\n35273 53061\n33329 50157\n71214 100000\n98824 100000\n32801 49380\n98109 100000\n16844 25391\n18164 27364\n10125 15246\n99291 100000\n31226 47029\n27789 41859\n13875 20904\n47461 71262\n31047 46756\n41745 62754\n4986 7488\n14293 21547\n9778 14716\n53891 80866\n9613 14473\n80520 100000\n80855 100000\n3021 4565\n67941 100000\n98627 100000\n25159 37912\n82072 100000\n26164 39407\n27015 40682\n68695 100000\n58280 87426\n22782 34347\n21517 32426\n17322 26117\n17078 25748\n47222 70902\n45681 68636\n49466 74263\n20469 30870\n7405 11127\n35955 54077\n91474 100000\n17401 26231\n80429 100000\n35567 53498\n16679 25135\n89615 100000\n88443 100000\n29831 44934\n2745 4154\n28678 43217\n95177 100000\n38729 58257\n28535 42990\n70958 100000\n77652 100000\n27980 42142\n66342 99545\n15181 22870\n34225 51476\n37631 56617\n9869 14856\n55809 83721\n76956 100000\n59778 89690\n69438 100000\n60708 91070\n67751 100000\n66242 99388\n59031 88564\n27868 41974\n77104 100000\n50117 75225\n16181 24391\n16300 24573\n29069 43798\n42580 64002\n96262 100000\n48425 72709\n477 731\n89712 100000\n89106 100000\n43628 65569\n90122 100000\n34228 51481\n75009 100000\n50581 75933\n11781 17753\n17441 26290\n77797 100000\n25598 38568\n77286 100000\n88224 100000\n9279 13961\n51736 77671\n89462 100000\n69731 100000\n35012 52666\n62334 93502\n14196 21395\n7348 11038\n59093 88658\n47121 70764\n83210 100000\n12466 18780\n41169 61902\n3200 4836\n37883 56996\n10615 15969\n96786 100000\n48416 72695\n3793 5712\n7022 10538\n56091 84138\n12167 18326\n59725 89610\n70721 100000\n8582 12913\n19516 29416\n3185 4816\n33879 50968\n47158 70815\n50584 75937\n13452 20261\n4125 6190\n69124 100000\n85030 100000\n13710 20652\n97218 100000\n2973 4493\n74180 100000\n69624 100000\n97358 100000\n332 509\n12212 18392\n79571 100000\n92253 100000\n8723 13128\n27628 41613\n45004 67615\n35411 53264\n86506 100000\n2099 3186\n35064 52744\n97520 100000\n35407 53258\n69421 100000\n17556 26455\n95670 100000\n18826 28357\n93973 100000\n99182 100000\n90501 100000\n78590 100000\n77620 100000\n60437 90668\n3550 5361\n32726 49272\n83617 100000\n33960 51090\n23438 35347\n31137 46897\n72802 100000\n66625 99970\n44875 67419\n49002 73561\n35469 53350\n18638 28080\n94603 100000\n30269 45593\n41016 61673\n15501 23351\n22522 33954\n21904 33019\n20962 31601\n14608 22020\n84219 100000\n19267 29028\n75715 100000\n71832 100000\n55692 83547\n39578 59532\n89038 100000\n22511 33941\n58106 87171\n66201 99324\n81150 100000\n39492 59403\n74116 100000\n4193 6296\n33869 50954\n39199 58965\n64624 96924\n76391 100000\n74037 100000\n36758 55313\n11906 17941\n32108 48344\n19794 29843\n23104 34825\n23795 35868\n61336 91992\n92892 100000\n86868 100000\n21406 32256\n49455 74246\n96743 100000\n3525 5325\n74400 100000\n57506 86263\n52538 78835\n84868 100000\n42234 63489\n39839 59930\n30468 45897\n97657 100000\n45732 68709\n52078 78162\n21614 32582\n81241 100000\n79497 100000\n6990 10491\n85526 100000\n35633 53603\n53394 80106\n47032 70624\n67319 100000\n75041 100000\n72906 100000\n96830 100000\n48096 72226\n20427 30803\n42861 64417\n22293 33613\n60830 91256\n44107 66275\n94341 100000\n96394 100000\n76228 100000\n67739 100000\n39087 58794\n58977 88485\n51269 76964\n31553 47522\n64946 97416\n86404 100000\n81770 100000\n69584 100000\n11026 16589\n71252 100000\n13227 19921\n68428 100000\n73658 100000\n52948 79443\n65381 98067\n34071 51259\n38606 58077\n63816 95720\n29413 44305\n155 233\n39043 58725\n19964 30113\n56800 85198\n65128 97685\n58601 87917\n81014 100000\n87962 100000\n75268 100000\n15435 23248\n71305 100000\n55006 82521\n46108 69267\n30887 46528\n50518 75837\n26285 39590\n71438 100000\n53657 80506\n53237 79871\n59467 89223\n87157 100000\n37384 56245\n33388 50241\n79264 100000\n36284 54570\n50502 75814\n80796 100000\n63550 95311\n6223 9353\n80471 100000\n6289 9451\n82241 100000\n62381 93574\n94404 100000\n85146 100000\n84494 100000\n16809 25338\n15890 23953\n83306 100000\n98846 100000\n22787 34353\n47710 71635\n48797 73264\n54242 81396\n67820 100000\n22084 33291\n43880 65948\n37526 56463\n18696 28168\n38819 58386\n49910 74910\n64108 96165\n40048 60239\n56944 85415\n81951 100000\n72851 100000\n35321 53126\n72090 100000\n47907 71940\n53069 79629\n79235 100000\n35211 52973\n5615 8428\n2188 3315\n37748 56796\n89133 100000\n37527 56465\n96671 100000\n30992 46676\n19028 28658\n21221 31979\n50629 76002\n29628 44620\n21834 32913\n18925 28501\n61996 92985\n90920 100000\n18872 28426\n51161 76812\n24931 37566\n68419 100000\n99500 100000\n78363 100000\n61730 92582\n23813 35894\n17148 25859\n44699 67147\n660 1011\n24554 37018\n49015 73585\n1309 1995\n23219 34998\n84181 100000\n86571 100000\n93912 100000\n80356 100000\n81788 100000\n30484 45920\n8304 12485\n89830 100000\n32201 48487\n35328 53138\n7447 11193\n44505 66853\n44923 67490\n67083 100000\n79132 100000\n67053 100000\n2027 3083\n81767 100000\n12582 18952\n54195 81329\n33135 49869\n25505 38435\n32041 48248\n50899 76409\n26688 40191\n95526 100000\n47420 71203\n95730 100000\n48883 73393\n388 598\n26086 39292\n95352 100000\n76643 100000\n53492 80254\n32416 48816\n61748 92608\n73001 100000\n53000 79520\n72558 100000\n92621 100000\n57952 86937\n22802 34376\n45831 68852\n20567 31023\n24626 37117\n11236 16913\n7361 11055\n23578 35550\n6900 10362\n35001 52650\n24792 37363\n31934 48092\n91988 100000\n4937 7416\n32181 48456\n44973 67565\n74150 100000\n95559 100000\n83041 100000\n51283 76983\n80352 100000\n49947 74966\n72913 100000\n95716 100000\n53697 80567\n94876 100000\n14515 21882\n49357 74098\n14098 21250\n70646 100000\n763 1173\n47938 71989\n86437 100000\n45582 68478\n77039 100000\n69686 100000\n42358 63663\n91291 100000\n26803 40366\n35413 53266\n83467 100000\n51085 76687\n46289 69528\n36480 54880\n760 1170\n79528 100000\n57724 86595\n23076 34783\n46698 70131\n78519 100000\n54174 81296\n95112 100000\n94193 100000\n53452 80193\n11089 16686\n40791 61339\n34790 52323\n38673 58177\n84100 100000\n36166 54393\n24287 36625\n98549 100000\n29884 45015\n73315 100000\n65471 98206\n84401 100000\n85338 100000\n41377 62205\n51937 77966\n47330 71071\n62157 93230\n19990 30147\n59882 89850\n76388 100000\n83028 100000\n55984 83989\n74441 100000\n40274 60574\n14161 21343\n67224 100000\n14214 21424\n1496 2290\n56677 85018\n22108 33332\n67365 100000\n51253 76940\n37806 56879\n74737 100000\n2393 3619\n85640 100000\n66514 99799\n35744 53764\n62427 93643\n62825 94225\n39434 59314\n62129 93184\n1733 2640\n52577 78895\n11637 17534\n38912 58529\n1657 2524\n98458 100000\n50090 75183\n57644 86476\n96311 100000\n15696 23655\n28923 43581\n56738 85110\n26054 39242\n72056 100000\n23814 35896\n16295 24564\n40511 60926\n79398 100000\n44269 66508\n80411 100000\n70875 100000\n65443 98162\n75928 100000\n31655 47681\n62371 93559\n28497 42931\n85097 100000\n39512 59428\n62088 93121\n53075 79637\n73990 100000\n64318 96466\n43867 65928\n92898 100000\n66428 99673\n9777 14715\n9546 14373\n2420 3656\n16859 25415\n10175 15317\n26062 39252\n82217 100000\n35400 53247\n59458 89209\n81104 100000\n6028 9064\n30687 46222\n45370 68154\n70483 100000\n53819 80755\n13640 20548\n23306 35136\n68501 100000\n803 1236\n89104 100000\n16192 24409\n33207 49978\n34001 51154\n21740 32774\n20081 30285\n508 776\n51466 77257\n19877 29975\n48291 72512\n63881 95813\n12690 19118\n94486 100000\n88429 100000\n19072 28727\n25839 38925\n60324 90501\n50803 76269\n90050 100000\n3714 5592\n6807 10226\n41986 63126\n63669 95489\n43821 65861\n45874 68914\n95541 100000\n30827 46438\n99968 100000\n17761 26765\n19142 28833\n86381 100000\n88251 100000\n35699 53695\n36296 54588\n97356 100000\n55903 83871\n69381 100000\n64746 97116\n94161 100000\n27745 41787\n20554 31004\n33772 50815\n24068 36287\n65611 98420\n67821 100000\n60067 90121\n16526 24908\n93049 100000\n19289 29066\n17915 27000\n72218 100000\n12117 18249\n17055 25713\n75519 100000\n96634 100000\n50825 76298\n95126 100000\n28029 42215\n16065 24214\n85595 100000\n71191 100000\n54299 81478\n6219 9346\n54329 81519\n50724 76148\n50532 75856\n19790 29839\n56718 85081\n49737 74658\n41256 62033\n30793 46386\n2438 3681\n4105 6164\n28721 43282\n7870 11831\n31751 47822\n36844 55440\n31478 47403\n3530 5333\n16261 24513\n61437 92139\n76168 100000\n74279 100000\n10523 15832\n5947 8939\n45748 68734\n37946 57097\n12364 18626\n50451 75742\n6328 9511\n87492 100000\n53483 80239\n89485 100000\n73301 100000\n56445 84667\n9605 14462\n83548 100000\n22872 34481\n16774 25281\n78042 100000\n92548 100000\n52485 78761\n74916 100000\n24124 36372\n9367 14091\n91361 100000\n25284 38095\n75345 100000\n627 963\n60413 90629\n77688 100000\n47216 70892\n51147 76791\n78817 100000\n81240 100000\n16804 25332\n32594 49077\n30576 46057\n90408 100000\n41488 62370\n21766 32816\n99338 100000\n50148 75275\n44931 67502\n50728 76152\n94530 100000\n76671 100000\n51599 77463\n43002 64632\n62649 93966\n83776 100000\n61746 92605\n47623 71503\n94032 100000\n59375 89098\n69249 100000\n22007 33173\n77149 100000\n31467 47384\n32352 48715\n12515 18855\n6919 10392\n40035 60222\n29162 43937\n50733 76160\n93122 100000\n4985 7486\n11153 16785\n37758 56811\n45363 68146\n24343 36711\n90116 100000\n93477 100000\n64001 95994\n47885 71901\n77195 100000\n43488 65362\n68043 100000\n436 668\n65748 98629\n49554 74390\n51322 77040\n83918 100000\n21108 31814\n8038 12087\n39435 59315\n4545 6837\n85383 100000\n56862 85291\n57360 86043\n97270 100000\n95498 100000\n87072 100000\n46931 70476\n62175 93257\n11820 17812\n97943 100000\n48973 73520\n33198 49964\n71235 100000\n80325 100000\n42159 63380\n96512 100000\n16935 25531\n6213 9338\n79562 100000\n98976 100000\n19675 29662\n36094 54287\n99758 100000\n2541 3847\n24795 37367\n41664 62638\n98333 100000\n59685 89548\n19866 29956\n24161 36424\n92413 100000\n73165 100000\n512 783\n60417 90635\n28615 43118\n3126 4723\n91588 100000\n61926 92879\n49036 73616\n32025 48221\n21359 32189\n71089 100000\n5072 7620\n385 593\n34882 52470\n41624 62574\n87393 100000\n63891 95829\n62676 94008\n8939 13452\n37676 56682\n1822 2776\n90870 100000\n10920 16431\n43428 65278\n69768 100000\n7078 10631\n61524 92264\n83671 100000\n89642 100000\n19997 30158\n52939 79426\n25054 37759\n78085 100000\n61255 91879\n75256 100000\n83017 100000\n6886 10343\n8821 13278\n95215 100000\n65240 97846\n60181 90286\n34918 52526\n97806 100000\n48530 72862\n19344 29155\n94557 100000\n87716 100000\n84025 100000\n53931 80928\n98950 100000\n77378 100000\n32754 49310\n23803 35880\n16545 24935\n56596 84898\n58074 87124\n69296 100000\n11378 17139\n27489 41400\n3555 5368\n86714 100000\n11737 17692\n49632 74504\n29755 44817\n16506 24876\n23904 36036\n2806 4243\n36231 54492\n41481 62360\n65605 98413\n52138 78249\n11180 16826\n50000 75046\n59139 88728\n4407 6621\n5833 8764\n32972 49633\n2271 3439\n83151 100000\n34942 52563\n35247 53023\n99187 100000\n10534 15850\n59118 88698\n23492 35430\n12249 18449\n88710 100000\n52690 79053\n14941 22524\n60475 90724\n8107 12192\n82796 100000\n68386 100000\n47794 71769\n48537 72872\n37286 56090\n22175 33435\n96032 100000\n86861 100000\n14507 21868\n11125 16742\n48757 73208\n1863 2840\n15275 23017\n77013 100000\n64937 97402\n22076 33278\n68950 100000\n38680 58185\n37947 57099\n62074 93098\n32351 48713\n37369 56222\n58894 88356\n26849 40434\n37353 56196\n71621 100000\n92940 100000\n32639 49140\n86097 100000\n12440 18739\n12149 18299\n80392 100000\n72980 100000\n93478 100000\n10905 16411\n71672 100000\n29536 44483\n44978 67575\n38443 57837\n76742 100000\n15478 23316\n48370 72630\n38649 58142\n58260 87397\n88370 100000\n52656 79006\n13191 19866\n89080 100000\n62053 93066\n31756 47829\n81172 100000\n86680 100000\n26929 40549\n64806 97204\n28934 43599\n50804 76270\n89336 100000\n66394 99623\n68380 100000\n6710 10081\n45099 67755\n98401 100000\n97330 100000\n93740 100000\n88736 100000\n71072 100000\n55579 83377\n21160 31892\n31629 47645\n19484 29369\n14830 22356\n63075 94602\n61346 92006\n54287 81462\n2342 3548\n5262 7899\n21402 32251\n40453 60841\n65819 98737\n3144 4753\n63178 94759\n3082 4656\n26430 39804\n29199 43996\n19341 29150\n33838 50911\n35827 53890\n39156 58900\n90312 100000\n80606 100000\n69564 100000\n60385 90589\n67078 100000\n9183 13812\n27888 42006\n97531 100000\n64213 96317\n79722 100000\n88645 100000\n98371 100000\n17210 25952\n38654 58149\n28260 42571\n49552 74388\n2702 4088\n98558 100000\n66724 100000\n38693 58207\n31785 47871\n32092 48323\n68484 100000\n45245 67966\n4468 6720\n58746 88142\n27590 41552\n27128 40845\n79243 100000\n90574 100000\n18956 28549\n80761 100000\n2082 3161\n28562 43036\n82555 100000\n46724 70164\n84929 100000\n77177 100000\n83219 100000\n32731 49278\n35730 53744\n97522 100000\n52629 78970\n86499 100000\n23807 35885\n70323 100000\n3204 4843\n35212 52974\n26783 40338\n75302 100000\n24 38\n7290 10949\n33252 50047\n14373 21660\n32473 48906\n45018 67634\n35974 54105\n35985 54123\n2575 3897\n87164 100000\n54659 82008\n40409 60774\n12108 18238\n99266 100000\n2912 4402\n59334 89033\n983 1503\n27090 40794\n44851 67380\n83850 100000\n10932 16447\n20090 30299\n25274 38083\n10729 16147\n20527 30960\n29480 44400\n94967 100000\n11208 16871\n95985 100000\n62564 93838\n84697 100000\n67310 100000\n87820 100000\n17375 26192\n5427 8148\n78968 100000\n80716 100000\n8180 12303\n5983 8994\n72287 100000\n37500 56422\n24248 36565\n97171 100000\n96650 100000\n50358 75598\n68955 100000\n65345 98011\n76538 100000\n73310 100000\n7234 10863\n4303 6468\n64410 96599\n36802 55377\n11883 17908\n65852 98788\n49063 73655\n8251 12409\n86695 100000\n48553 72894\n66484 99753\n8908 13404\n36919 55559\n28086 42302\n70114 100000\n72388 100000\n64819 97225\n27032 40707\n23072 34778\n12311 18544\n28684 43226\n41545 62457\n65618 98428\n36843 55438\n49925 74931\n31494 47428\n6429 9659\n33528 50444\n27953 42103\n41297 62092\n74845 100000\n56196 84284\n6477 9737\n29804 44892\n18742 28231\n69652 100000\n2260 3423\n30480 45914\n24905 37530\n6926 10402\n34749 52263\n46389 69680\n62092 93127\n78009 100000\n94671 100000\n63402 95097\n48022 72113\n58049 87085\n56325 84483\n8967 13496\n77118 100000\n19070 28723\n78572 100000\n70222 100000\n63979 95959\n53055 79605\n73231 100000\n20057 30249\n84818 100000\n10583 15920\n50410 75681\n96088 100000\n18541 27934\n83374 100000\n84881 100000\n42688 64155\n4620 6941\n28628 43136\n59876 89838\n44105 66272\n22424 33810\n14981 22580\n46611 70009\n68565 100000\n82224 100000\n1515 2314\n63572 95343\n8086 12160\n60542 90820\n80597 100000\n39095 58805\n55455 83188\n48202 72390\n89081 100000\n20885 31489\n84690 100000\n68212 100000\n13445 20249\n65119 97674\n22887 34504\n74633 100000\n44091 66253\n65872 98820\n56514 84776\n36586 55039\n10526 15837\n29300 44145\n45741 68721\n4559 6856\n56079 84122\n41190 61935\n48322 72562\n12182 18347\n14664 22106\n89473 100000\n47962 72024\n52057 78135\n28932 43597\n53140 79734\n14780 22281\n40278 60581\n24986 37653\n53986 81013\n500 764\n85684 100000\n39654 59649\n86719 100000\n68720 100000\n4042 6070\n8554 12868\n1738 2646\n97493 100000\n22150 33398\n85015 100000\n97243 100000\n47965 72027\n39471 59372\n43840 65888\n32628 49127\n41027 61692\n92041 100000\n41306 62105\n98359 100000\n39860 59958\n44215 66433\n65893 98854\n10249 15430\n51308 77022\n19963 30112\n98232 100000\n7429 11165\n40156 60397\n76094 100000\n23119 34846\n74329 100000\n62911 94354\n31284 47108\n19625 29583\n63268 94889\n12062 18175\n53749 80649\n82157 100000\n95958 100000\n14839 22371\n84194 100000\n22739 34284\n94959 100000\n3701 5575\n35871 53955\n31135 46893\n59795 89715\n70784 100000\n29036 43749\n57302 85943\n67304 100000\n7917 11901\n81536 100000\n56571 84863\n87296 100000\n96572 100000\n85715 100000\n70427 100000\n16161 24358\n84002 100000\n46057 69189\n96415 100000\n42648 64100\n24636 37129\n2981 4505\n45279 68018\n42945 64546\n36512 54927\n33755 50787\n51023 76599\n88573 100000\n51137 76774\n38306 57634\n60159 90252\n87163 100000\n54510 81782\n45481 68318\n94825 100000\n79150 100000\n77085 100000\n16412 24738\n45450 68274\n70444 100000\n95022 100000\n23009 34686\n82655 100000\n51741 77679\n1600 2439\n28453 42869\n41167 61900\n42568 63983\n67222 100000\n90506 100000\n69417 100000\n58062 87105\n19976 30129\n42296 63574\n31860 47984\n79632 100000\n10950 16475\n30813 46418\n29292 44133\n48895 73411\n80155 100000\n82262 100000\n70360 100000\n31322 47161\n22715 34246\n3411 5152\n14923 22495\n42166 63387\n79942 100000\n10428 15694\n16443 24779\n32329 48681\n4698 7055\n37188 55952\n83605 100000\n81765 100000\n85320 100000\n29991 45176\n83269 100000\n75555 100000\n1789 2724\n5261 7897\n79445 100000\n72102 100000\n7698 11568\n72051 100000\n31424 47322\n90817 100000\n11118 16733\n86842 100000\n29356 44227\n75196 100000\n57243 85851\n27782 41846\n46990 70563\n23868 35979\n67841 100000\n98497 100000\n56077 84120\n89358 100000\n20552 31000\n2133 3234\n90943 100000\n72230 100000\n79012 100000\n83706 100000\n34043 51218\n47757 71711\n31538 47499\n13796 20782\n76551 100000\n63383 95068\n51969 78010\n74293 100000\n38890 58498\n47247 70944\n98307 100000\n91641 100000\n76502 100000\n55854 83794\n91400 100000\n20222 30498\n76562 100000\n2984 4510\n99818 100000\n20273 30572\n50613 75979\n66700 100000\n74508 100000\n41991 63134\n86528 100000\n98598 100000\n18058 27209\n88711 100000\n57984 86987\n17632 26566\n31970 48140\n47201 70871\n68492 100000\n13056 19659\n77111 100000\n28689 43234\n19101 28773\n88280 100000\n78692 100000\n62785 94166\n75128 100000\n85289 100000\n49692 74592\n96903 100000\n3980 5977\n53463 80209\n56204 84298\n71454 100000\n91471 100000\n88096 100000\n35467 53347\n89041 100000\n69939 100000\n26124 39353\n22990 34658\n27450 41341\n54230 81376\n93344 100000\n12352 18606\n52203 78340\n61112 91660\n82147 100000\n9487 14277\n35308 53108\n1170 1790\n96180 100000\n26144 39380\n39336 59169\n34321 51628\n42758 64264\n53690 80555\n14714 22188\n23613 35597\n42386 63707\n90580 100000\n50312 75527\n78780 100000\n97290 100000\n77748 100000\n25992 39145\n3792 5711\n58753 88151\n12188 18357\n50182 75326\n57298 85936\n87497 100000\n68295 100000\n60127 90205\n88279 100000\n2576 3899\n43091 64763\n43630 65573\n45211 67918\n41793 62828\n64895 97342\n29718 44761\n22251 33548\n46632 70039\n91113 100000\n32533 48991\n36011 54162\n32354 48718\n21657 32645\n34045 51221\n21126 31840\n98136 100000\n37276 56077\n54374 81581\n98104 100000\n54812 82238\n78386 100000\n44972 67564\n42207 63451\n39611 59583\n44711 67164\n51185 76849\n28422 42822\n98649 100000\n65300 97941\n30018 45220\n14378 21667\n75530 100000\n4151 6228\n55434 83157\n80096 100000\n28027 42211\n42243 63502\n65541 98313\n12002 18084\n29341 44208\n5579 8376\n97184 100000\n70647 100000\n59638 89478\n44037 66172\n79486 100000\n86305 100000\n24060 36277\n2825 4271\n96042 100000\n71747 100000\n90386 100000\n92054 100000\n8284 12455\n91682 100000\n29429 44326\n59693 89564\n58846 88291\n7656 11506\n87416 100000\n55007 82522\n80414 100000\n68353 100000\n83383 100000\n87372 100000\n44982 67581\n18823 28353\n17529 26416\n54468 81718\n5540 8318\n37937 57083\n33254 50050\n58377 87577\n56923 85383\n38957 58599\n19728 29743\n61815 92709\n18051 27195\n96989 100000\n8064 12127\n21042 31719\n41985 63125\n15701 23662\n2986 4512\n87133 100000\n12832 19324\n64704 97047\n97133 100000\n9914 14929\n91249 100000\n71574 100000\n18070 27227\n38087 57307\n95107 100000\n85090 100000\n20471 30873\n78463 100000\n26672 40165\n84368 100000\n60761 91151\n25924 39049\n22940 34583\n16778 25288\n67971 100000\n3991 5992\n44204 66415\n42636 64084\n56220 84324\n66241 99387\n19566 29492\n31856 47978\n21263 32042\n24826 37411\n40058 60255\n52502 78783\n80239 100000\n21567 32507\n49751 74680\n72785 100000\n20486 30897\n5083 7634\n87766 100000\n24820 37401\n72401 100000\n45579 68473\n3471 5243\n6115 9191\n91243 100000\n7979 11996\n40737 61263\n11383 17147\n20429 30807\n85663 100000\n73028 100000\n7171 10769\n22162 33415\n47868 71879\n56884 85321\n74313 100000\n52765 79167\n38142 57384\n24576 37045\n28962 43638\n31622 47637\n95065 100000\n95314 100000\n73537 100000\n68551 100000\n64126 96190\n13062 19670\n55477 83223\n4553 6848\n73715 100000\n44876 67420\n75636 100000\n22246 33539\n32293 48627\n86517 100000\n83023 100000\n4811 7230\n9699 14607\n34009 51167\n10923 16435\n2905 4390\n83440 100000\n90192 100000\n83281 100000\n87158 100000\n80113 100000\n20972 31616\n80681 100000\n35639 53611\n19947 30086\n47659 71562\n72505 100000\n9226 13874\n10409 15667\n99487 100000\n79484 100000\n23975 36142\n26016 39184\n37640 56631\n64745 97114\n74427 100000\n80633 100000\n13662 20581\n83376 100000\n45696 68658\n44475 66811\n31139 46901\n95902 100000\n62130 93185\n86847 100000\n31356 47215\n95468 100000\n30895 46539\n23412 35307\n46256 69481\n76023 100000\n80874 100000\n3360 5077\n71559 100000\n65127 97684\n6996 10502\n1775 2702\n58564 87861\n42607 64043\n32095 48328\n76017 100000\n36665 55166\n32985 49652\n35949 54067\n40422 60794\n87932 100000\n20968 31611\n35440 53307\n91986 100000\n44018 66149\n51196 76863\n30597 46086\n8002 12030\n29903 45044\n41402 62241\n65314 97961\n36793 55365\n55440 83165\n80380 100000\n91769 100000\n45463 68293\n72871 100000\n21893 33002\n34992 52636\n24918 37547\n36646 55136\n24174 36445\n49749 74677\n69037 100000\n29037 43751\n6008 9031\n1100 1681\n66466 99725\n8025 12067\n66892 100000\n92825 100000\n89670 100000\n37431 56321\n22721 34254\n5971 8975\n85748 100000\n86165 100000\n53886 80859\n30777 46362\n33899 50998\n16377 24683\n80066 100000\n79511 100000\n13480 20305\n4288 6443\n47108 70745\n37567 56519\n76555 100000\n94301 100000\n82589 100000\n10876 16368\n29155 43925\n66475 99737\n24234 36542\n35323 53130\n54084 81160\n13829 20834\n82696 100000\n45243 67964\n87060 100000\n30499 45943\n51834 77816\n9112 13706\n78311 100000\n78915 100000\n84348 100000\n64991 97481\n24143 36401\n36155 54378\n34959 52588\n44307 66565\n64755 97132\n89896 100000\n5401 8110\n70748 100000\n65957 98952\n58543 87831\n9055 13627\n17882 26949\n36229 54488\n25283 38094\n7283 10939\n52798 79219\n15646 23579\n38476 57886\n92201 100000\n56631 84949\n40485 60885\n39537 59468\n45682 68637\n88584 100000\n49889 74884\n53272 79921\n89821 100000\n38542 57977\n72933 100000\n53665 80518\n49112 73728\n17981 27094\n98700 100000\n41148 61873\n62256 93387\n61248 91868\n62201 93302\n69513 100000\n24305 36652\n56376 84567\n43921 66008\n71078 100000\n43674 65639\n95220 100000\n85776 100000\n84733 100000\n46527 69881\n82718 100000\n12905 19427\n83442 100000\n80490 100000\n34380 51716\n99753 100000\n45289 68034\n83498 100000\n63062 94582\n9689 14591\n41703 62694\n49782 74727\n20930 31555\n87761 100000\n57919 86886\n97834 100000\n81481 100000\n14028 21143\n25358 38207\n2110 3202\n7727 11614\n27241 41020\n92095 100000\n23262 35061\n1161 1776\n92100 100000\n39337 59171\n65132 97691\n80272 100000\n13724 20673\n96073 100000\n63306 94947\n1624 2474\n25964 39108\n51993 78045\n38550 57989\n19397 29238\n438 672\n19837 29911\n55640 83469\n40376 60724\n54976 82475\n90903 100000\n44258 66493\n71022 100000\n32121 48363\n56439 84659\n98229 100000\n22151 33399\n40431 60807\n92338 100000\n9708 14620\n68090 100000\n5131 7704\n37708 56734\n29176 43956\n405 625\n43767 65784\n27550 41492\n97222 100000\n54862 82308\n10369 15608\n32538 48998\n11452 17250\n79546 100000\n42919 64502\n42858 64412\n80882 100000\n13171 19835\n87347 100000\n65447 98168\n49012 73580\n21648 32632\n99527 100000\n77398 100000\n22997 34670\n91994 100000\n74062 100000\n84770 100000\n596 914\n74978 100000\n45863 68899\n97480 100000\n52245 78406\n98543 100000\n9374 14101\n38398 57773\n81704 100000\n88684 100000\n5698 8557\n53411 80131\n95795 100000\n28431 42836\n60627 90952\n16263 24515\n55982 83987\n77675 100000\n5681 8529\n81480 100000\n81168 100000\n70178 100000\n17095 25773\n67560 100000\n5550 8334\n27495 41410\n95817 100000\n15537 23409\n27169 40912\n92608 100000\n36310 54613\n62873 94298\n65789 98692\n84602 100000\n16843 25389\n20 32\n20415 30782\n45931 69000\n10252 15434\n70016 100000\n15246 22972\n33559 50489\n64925 97385\n7942 11939\n29244 44058\n65395 98089\n47145 70799\n44103 66269\n18517 27898\n57108 85648\n38717 58239\n87359 100000\n64145 96215\n67286 100000\n28890 43534\n66697 100000\n9753 14684\n7373 11077\n81315 100000\n83953 100000\n49565 74404\n99574 100000\n51092 76697\n30870 46502\n54668 82021\n66693 100000\n21655 32643\n99510 100000\n24602 37082\n56442 84662\n98340 100000\n21625 32598\n32420 48820\n56281 84414\n45042 67669\n5795 8710\n18801 28321\n11173 16813\n81102 100000\n53219 79848\n1418 2174\n74395 100000\n30227 45531\n78700 100000\n944 1442\n17225 25973\n5140 7715\n26316 39635\n4640 6971\n94732 100000\n88712 100000\n66393 99621\n36550 54986\n92687 100000\n74926 100000\n71055 100000\n81779 100000\n3345 5058\n61397 92083\n9466 14243\n35926 54034\n25945 39079\n67995 100000\n87447 100000\n47466 71268\n28210 42496\n73110 100000\n26126 39356\n20660 31158\n34844 52409\n70432 100000\n75203 100000\n11278 16981\n29436 44336\n43274 65040\n30818 46424\n25644 38631\n76887 100000\n5741 8626\n22268 33576\n15466 23299\n21632 32608\n25229 38013\n81901 100000\n27048 40730\n36736 55277\n9498 14295\n1686 2564\n35292 53087\n78137 100000\n29455 44363\n27514 41437\n31496 47432\n2316 3508\n3519 5317\n1868 2847\n59664 89516\n62985 94470\n7266 10911\n46036 69156\n48785 73248\n87882 100000\n36118 54319\n7289 10947\n3844 5783\n86445 100000\n86567 100000\n24507 36954\n67735 100000\n45422 68230\n69137 100000\n24999 37673\n94214 100000\n1683 2559\n120 180\n95751 100000\n80888 100000\n87225 100000\n73601 100000\n12835 19327\n83416 100000\n10556 15882\n14726 22204\n39054 58745\n73343 100000\n1356 2073\n45000 67607\n67874 100000\n28366 42735\n53975 80998\n35371 53206\n5810 8731\n91771 100000\n33096 49816\n61971 92942\n80668 100000\n22279 33592\n74839 100000\n20977 31623\n59529 89312\n94698 100000\n24061 36278\n75335 100000\n76085 100000\n75647 100000\n26620 40078\n80003 100000\n54366 81570\n52038 78111\n62584 93872\n35209 52971\n20103 30317\n39563 59508\n92738 100000\n80854 100000\n19017 28643\n31223 47024\n62725 94080\n58457 87706\n39346 59185\n36998 55673\n78877 100000\n27319 41141\n95610 100000\n51841 77824\n58367 87561\n20184 30436\n40164 60407\n97216 100000\n77064 100000\n10817 16280\n72495 100000\n84701 100000\n76675 100000\n48257 72467\n8828 13288\n29498 44425\n94367 100000\n75983 100000\n15567 23455\n95706 100000\n76872 100000\n95026 100000\n43182 64901\n33991 51136\n98773 100000\n8519 12815\n87627 100000\n38839 58414\n56455 84682\n65773 98669\n58184 87288\n73901 100000\n19872 29966\n98310 100000\n3699 5572\n78271 100000\n17435 26282\n80908 100000\n52609 78941\n87736 100000\n82398 100000\n70582 100000\n48878 73384\n30646 46159\n4084 6133\n35 55\n19198 28922\n3198 4832\n75788 100000\n62036 93040\n33365 50209\n61047 91569\n27772 41832\n31204 46997\n54363 81566\n64388 96560\n35923 54030\n59570 89376\n75512 100000\n23902 36033\n75226 100000\n47462 71263\n75952 100000\n10728 16145\n56017 84040\n43187 64910\n15677 23627\n57826 86742\n70077 100000\n45143 67817\n34784 52316\n17021 25661\n2530 3829\n37312 56130\n22235 33523\n12278 18494\n96072 100000\n71602 100000\n75553 100000\n70623 100000\n41723 62723\n71885 100000\n44017 66147\n62263 93398\n88414 100000\n61319 91968\n10149 15283\n29249 44067\n9377 14105\n54201 81335\n45624 68548\n20337 30660\n85244 100000\n5137 7712\n57701 86564\n95686 100000\n31121 46870\n13173 19838\n1082 1655\n56458 84687\n34008 51165\n84210 100000\n70762 100000\n82088 100000\n22364 33718\n95462 100000\n7837 11778\n43237 64985\n21679 32680\n73646 100000\n83002 100000\n4589 6897\n72554 100000\n43502 65380\n39907 60032\n8964 13490\n47646 71540\n81482 100000\n38946 58582\n32014 48206\n49 78\n83356 100000\n37709 56736\n77734 100000\n15059 22690\n59338 89038\n1328 2024\n17044 25695\n7265 10909\n71513 100000\n39580 59535\n66202 99326\n62161 93237\n58128 87205\n2607 3945\n65759 98647\n33172 49923\n66125 99207\n94523 100000\n82333 100000\n20656 31150\n3308 4997\n43375 65199\n84220 100000\n43811 65849\n20437 30819\n26878 40480\n43957 66061\n99852 100000\n30766 46346\n32613 49106\n61841 92751\n11314 17036\n95705 100000\n38631 58116\n12 19\n55699 83557\n20659 31156\n50278 75475\n21965 33113\n49157 73799\n28697 43246\n98964 100000\n41332 62144\n24435 36848\n31055 46769\n77425 100000\n39254 59043\n61340 91996\n98740 100000\n69914 100000\n60180 90284\n83330 100000\n94893 100000\n39082 58787\n26870 40466\n14346 21617\n96184 100000\n81232 100000\n12937 19473\n26841 40422\n40802 61356\n13330 20072\n69949 100000\n17421 26262\n98103 100000\n41672 62648\n76402 100000\n98989 100000\n21072 31764\n21481 32371\n7921 11907\n20673 31179\n53908 80891\n98927 100000\n10405 15662\n46740 70189\n54651 81997\n2682 4060\n57178 85753\n59753 89653\n61037 91556\n24667 37178\n37922 57060\n7941 11938\n7503 11274\n71052 100000\n5076 7625\n65370 98052\n5626 8446\n74869 100000\n26098 39311\n99877 100000\n31028 46727\n94086 100000\n44870 67410\n83062 100000\n27478 41382\n8154 12263\n37780 56846\n92299 100000\n72511 100000\n75521 100000\n43416 65259\n73450 100000\n75430 100000\n58580 87885\n24540 37000\n64529 96782\n21374 32211\n96566 100000\n14821 22341\n63365 95039\n54384 81596\n56163 84240\n8891 13378\n61053 91576\n52870 79324\n62986 94471\n9854 14834\n18198 27417\n33494 50395\n34396 51738\n59565 89367\n87902 100000\n17305 26093\n26989 40642\n41844 62907\n26137 39371\n42916 64496\n2902 4385\n71732 100000\n84841 100000\n36814 55397\n47619 71497\n31559 47532\n54194 81327\n86512 100000\n17926 27015\n29240 44052\n34384 51722\n13121 19760\n58467 87719\n72433 100000\n9652 14530\n29316 44169\n25863 38962\n32131 48378\n88234 100000\n54670 82024\n98001 100000\n71421 100000\n67674 100000\n61842 92752\n75951 100000\n3965 5957\n26356 39695\n28631 43141\n66885 100000\n70874 100000\n74861 100000\n84429 100000\n68122 100000\n61406 92096\n36857 55462\n31911 48059\n53589 80401\n27123 40838\n64698 97039\n12579 18946\n13235 19933\n7020 10535\n43990 66109\n84422 100000\n60436 90667\n52889 79351\n20862 31457\n15178 22865\n1357 2074\n38452 57853\n62554 93824\n9406 14154\n12577 18943\n99583 100000\n45372 68158\n10781 16226\n74754 100000\n40631 61103\n49634 74507\n40732 61256\n83507 100000\n86207 100000\n20920 31541\n55289 82945\n85827 100000\n90872 100000\n4023 6041\n54476 81729\n781 1204\n12597 18976\n14554 21938\n60259 90403\n79587 100000\n39176 58930\n24869 37473\n69186 100000\n84704 100000\n13803 20792\n49045 73629\n45535 68404\n34921 52530\n44396 66696\n2189 3317\n32636 49137\n81223 100000\n4371 6565\n46581 69965\n75372 100000\n46851 70356\n40677 61172\n90406 100000\n42342 63636\n47430 71217\n71175 100000\n77626 100000\n39824 59910\n81802 100000\n27549 41490\n84276 100000\n97269 100000\n92177 100000\n98118 100000\n63504 95245\n46014 69120\n71211 100000\n71618 100000\n84664 100000\n37876 56987\n83307 100000\n69990 100000\n34839 52400\n19913 30031\n14039 21159\n42108 63303\n73403 100000\n39536 59466\n73747 100000\n15945 24031\n2567 3886\n44074 66228\n57001 85492\n95051 100000\n16429 24759\n48721 73151\n60612 90927\n64284 96418\n74571 100000\n86822 100000\n78253 100000\n16513 24889\n61732 92584\n6777 10187\n1762 2682\n43348 65159\n83963 100000\n15187 22881\n20137 30372\n48900 73417\n97022 100000\n57969 86966\n38383 57751\n39570 59520\n72275 100000\n10822 16288\n65183 97765\n57805 86712\n36730 55267\n40501 60910\n6159 9258\n90882 100000\n52274 78450\n72835 100000\n57010 85505\n60075 90132\n93936 100000\n98541 100000\n18615 28046\n66934 100000\n97458 100000\n1476 2261\n97911 100000\n67513 100000\n96607 100000\n90685 100000\n8184 12308\n22148 33395\n42271 63539\n6735 10124\n94224 100000\n19469 29348\n15542 23417\n87687 100000\n72766 100000\n88289 100000\n46330 69586\n22743 34288\n85797 100000\n93890 100000\n10704 16107\n91923 100000\n45252 67977\n59032 88566\n42298 63576\n54994 82503\n95279 100000\n66042 99077\n33444 50324\n37602 56574\n73736 100000\n45803 68814\n44433 66753\n99622 100000\n51228 76906\n36059 54235\n35547 53466\n87468 100000\n49830 74798\n97880 100000\n81971 100000\n98986 100000\n37533 56473\n32231 48536\n54038 81092\n29112 43861\n99227 100000\n20310 30621\n65918 98891\n97210 100000\n68572 100000\n29220 44023\n97549 100000\n3392 5126\n36259 54529\n26860 40453\n49341 74076\n11597 17477\n91220 100000\n64297 96438\n45564 68451\n74362 100000\n30136 45399\n93680 100000\n29418 44310\n41771 62792\n46116 69280\n58926 88408\n41066 61753\n34036 51206\n10349 15576\n41853 62921\n70163 100000\n20624 31103\n36468 54861\n86899 100000\n61152 91728\n49981 75017\n89838 100000\n84698 100000\n11384 17149\n31839 47955\n11068 16654\n21922 33047\n15444 23262\n93222 100000\n77196 100000\n32833 49424\n9868 14854\n54642 81982\n30770 46352\n36719 55250\n94212 100000\n42391 63714\n75438 100000\n35457 53332\n99535 100000\n23840 35939\n86075 100000\n59452 89201\n50601 75959\n7191 10799\n39057 58750\n49795 74747\n49358 74099\n39681 59690\n66621 99964\n13943 21019\n61443 92147\n31261 47077\n69660 100000\n18822 28352\n54644 81985\n24951 37600\n44652 67077\n9948 14977\n81689 100000\n46665 70087\n59379 89103\n40382 60732\n11493 17316\n18545 27939\n95300 100000\n37933 57077\n28753 43333\n39575 59529\n62803 94197\n94763 100000\n4539 6829\n95906 100000\n40195 60453\n74005 100000\n10056 15145\n316 484\n70012 100000\n19025 28654\n90452 100000\n99944 100000\n66418 99657\n31035 46738\n75886 100000\n2488 3762\n38736 58268\n78077 100000\n97406 100000\n72002 100000\n32747 49300\n94674 100000\n2280 3452\n59220 88855\n24958 37609\n56648 84978\n92969 100000\n95365 100000\n22552 33998\n69615 100000\n28870 43505\n98466 100000\n83280 100000\n43147 64848\n66895 100000\n36735 55275\n95683 100000\n11508 17339\n33034 49725\n18491 27858\n5666 8507\n62621 93930\n39178 58932\n73620 100000\n46186 69380\n48838 73324\n48626 73000\n18983 28587\n36991 55661\n13491 20321\n67452 100000\n8829 13290\n86901 100000\n54667 82020\n12735 19189\n58253 87386\n20695 31210\n25171 37931\n66667 100000\n87619 100000\n96418 100000\n30649 46164\n44175 66366\n40350 60686\n53156 79755\n56948 85421\n50589 75946\n57473 86214\n78091 100000\n98105 100000\n44745 67218\n7583 11395\n76063 100000\n99022 100000\n51163 76816\n51639 77523\n59190 88808\n17574 26481\n42569 63985\n82568 100000\n55241 82868\n10775 16218\n90764 100000\n20668 31171\n72687 100000\n28386 42761\n43653 65608\n7791 11708\n49541 74374\n80849 100000\n64489 96717\n94317 100000\n98605 100000\n71773 100000\n80484 100000\n94731 100000\n34392 51732\n74678 100000\n51321 77039\n28451 42866\n14959 22548\n65640 98458\n69743 100000\n49920 74924\n77906 100000\n95046 100000\n14080 21221\n41777 62802\n68270 100000\n91338 100000\n81744 100000\n82952 100000\n61805 92694\n56750 85126\n41299 62096\n57397 86101\n71068 100000\n41890 62979\n71802 100000\n65758 98645\n15710 23678\n42535 63933\n4278 6423\n87366 100000\n34946 52568\n87114 100000\n6951 10435\n44542 66912\n81525 100000\n3134 4737\n24487 36925\n85275 100000\n83967 100000\n11651 17555\n52357 78572\n88961 100000\n77768 100000\n4487 6748\n48314 72550\n56879 85316\n94056 100000\n81058 100000\n41594 62527\n57868 86808\n311 477\n57149 85710\n25890 38999\n92178 100000\n81787 100000\n39363 59210\n65879 98831\n30920 46577\n82044 100000\n92264 100000\n79198 100000\n41862 62935\n29094 43834\n15797 23817\n60871 91317\n82849 100000\n68003 100000\n79686 100000\n24273 36603\n8460 12722\n35207 52968\n35605 53556\n56832 85245\n83086 100000\n64344 96505\n79701 100000\n22945 34590\n21599 32560\n50029 75088\n58363 87556\n37725 56760\n57643 86475\n44094 66257\n76620 100000\n21463 32346\n27104 40815\n72443 100000\n9015 13566\n70974 100000\n12074 18192\n32964 49622\n17980 27093\n35515 53418\n49280 73983\n68073 100000\n23590 35566\n33583 50525\n96703 100000\n15529 23399\n93380 100000\n29495 44421\n51213 76884\n40255 60544\n98352 100000\n24933 37569\n44456 66784\n27661 41663\n59328 89024\n81387 100000\n37151 55900\n49140 73773\n74068 100000\n66095 99161\n55666 83506\n29005 43700\n12987 19552\n13354 20109\n60002 90025\n55064 82604\n14933 22509\n51584 77440\n61348 92010\n31690 47738\n71658 100000\n6445 9686\n48182 72361\n93796 100000\n97671 100000\n13061 19668\n64790 97184\n24770 37331\n60728 91100\n87643 100000\n80936 100000\n1020 1555\n79031 100000\n58409 87631\n93884 100000\n60234 90368\n64961 97438\n59069 88625\n26567 40001\n52632 78973\n86594 100000\n11660 17569\n30638 46147\n49875 74863\n18923 28497\n30282 45613\n81701 100000\n66996 100000\n81757 100000\n65924 98902\n70457 100000\n49625 74493\n84532 100000\n73594 100000\n6590 9900\n35756 53784\n63417 95117\n56349 84523\n24663 37171\n54870 82318\n10953 16480\n7758 11658\n48162 72329\n99738 100000\n60762 91152\n39380 59235\n45336 68107\n15381 23170\n53009 79533\n28780 43373\n89926 100000\n37364 56215\n43303 65088\n45594 68497\n51204 76872\n83999 100000\n24312 36664\n5962 8961\n65905 98872\n15786 23797\n36214 54465\n31778 47862\n11258 16949\n7256 10895\n28190 42464\n81121 100000\n13817 20814\n19135 28822\n55149 82731\n28116 42350\n74675 100000\n89319 100000\n41076 61767\n2295 3476\n81958 100000\n71439 100000\n58419 87647\n64498 96731\n3528 5330\n69536 100000\n50230 75403\n5693 8548\n45982 69076\n20549 30996\n71806 100000\n61455 92163\n37028 55716\n85417 100000\n27835 41923\n59482 89244\n94873 100000\n35117 52822\n65028 97537\n63590 95369\n68000 100000\n42447 63794\n97200 100000\n39432 59310\n93811 100000\n31931 48086\n79731 100000\n2834 4283\n43393 65226\n93489 100000\n79536 100000\n48497 72816\n21420 32275\n48811 73285\n53100 79678\n71607 100000\n94768 100000\n5454 8190\n3989 5990\n8027 12070\n98978 100000\n3930 5904\n11479 17296\n35757 53785\n84625 100000\n6241 9380\n83978 100000\n38038 57230\n28033 42221\n45506 68355\n55086 82640\n54334 81527\n67113 100000\n23280 35092\n53622 80450\n71218 100000\n88412 100000\n79044 100000\n91533 100000\n32629 49128\n77914 100000\n46654 70072\n54761 82164\n75960 100000\n9264 13937\n86047 100000\n2927 4427\n43486 65360\n91616 100000\n27341 41177\n37617 56596\n3125 4722\n82047 100000\n86766 100000\n89715 100000\n38647 58139\n67649 100000\n4572 6875\n98265 100000\n30531 45992\n2722 4118\n14286 21538\n12384 18656\n54204 81341\n29230 44036\n73334 100000\n82977 100000\n73955 100000\n97349 100000\n54321 81507\n16394 24710\n11884 17909\n6921 10395\n13358 20114\n77489 100000\n91325 100000\n78921 100000\n75115 100000\n90905 100000\n65750 98633\n36139 54353\n32658 49169\n25538 38480\n44729 67196\n74198 100000\n48405 72679\n93956 100000\n54541 81827\n41284 62072\n50243 75423\n15297 23049\n77454 100000\n17506 26383\n15813 23840\n48833 73315\n34139 51348\n53957 80972\n6413 9637\n57846 86774\n25502 38430\n29871 44994\n75830 100000\n35219 52984\n64723 97079\n35804 53854\n36741 55286\n26379 39732\n68410 100000\n79313 100000\n4688 7038\n34006 51161\n69972 100000\n11693 17622\n6935 10415\n52039 78113\n64122 96184\n74462 100000\n97945 100000\n52413 78655\n44784 67275\n7975 11988\n76986 100000\n4106 6165\n90805 100000\n68049 100000\n430 660\n16650 25093\n74666 100000\n27805 41881\n87271 100000\n98128 100000\n56300 84445\n30938 46602\n98975 100000\n96701 100000\n77578 100000\n55797 83703\n43896 65972\n23631 35625\n12086 18208\n19885 29988\n97523 100000\n9067 13643\n13423 20215\n2219 3362\n45375 68162\n12922 19451\n11748 17711\n32442 48851\n27209 40974\n21037 31710\n58904 88373\n89388 100000\n57767 86658\n72494 100000\n10850 16329\n14381 21671\n20808 31376\n82577 100000\n7561 11364\n13206 19888\n92880 100000\n80268 100000\n66727 100000\n75329 100000\n34452 51825\n35146 52868\n9513 14320\n20257 30550\n59153 88750\n88433 100000\n41754 62767\n96789 100000\n78973 100000\n37317 56138\n22954 34604\n71463 100000\n58464 87714\n25046 37748\n9276 13956\n80819 100000\n94642 100000\n24098 36331\n28084 42298\n23449 35360\n73347 100000\n45218 67927\n7900 11872\n27146 40875\n75496 100000\n35329 53139\n4165 6251\n4493 6756\n91110 100000\n69068 100000\n40904 61506\n41580 62505\n20161 30407\n43848 65900\n17563 26465\n3907 5873\n7269 10917\n38744 58279\n13488 20317\n53392 80103\n57372 86060\n17893 26968\n43692 65669\n19191 28910\n83331 100000\n14142 21317\n82134 100000\n10893 16393\n4962 7450\n963 1473\n16237 24479\n58445 87687\n54409 81636\n74308 100000\n92459 100000\n14863 22408\n78937 100000\n22390 33762\n38933 58562\n8985 13524\n33968 51103\n43708 65695\n56518 84782\n32207 48497\n71233 100000\n83859 100000\n25052 37756\n45090 67741\n88384 100000\n59317 89004\n92198 100000\n29071 43800\n862 1325\n82592 100000\n42499 63873\n47836 71833\n41779 62806\n64736 97101\n1316 2007\n68602 100000\n60808 91223\n3158 4774\n92627 100000\n13447 20253\n22025 33201\n73892 100000\n46806 70290\n15415 23217\n96050 100000\n44659 67088\n394 608\n48752 73201\n67677 100000\n24182 36456\n45492 68334\n33190 49950\n41934 63046\n72339 100000\n58674 88028\n49798 74752\n35045 52716\n68584 100000\n20020 30192\n84848 100000\n21089 31788\n38676 58180\n36866 55477\n53208 79830\n26254 39543\n5311 7973\n36034 54195\n67054 100000\n91798 100000\n18919 28493\n63657 95470\n51366 77108\n36102 54296\n9695 14600\n30751 46319\n14247 21475\n38053 57254\n10356 15585\n87582 100000\n70616 100000\n62238 93360\n62764 94138\n67123 100000\n20176 30427\n99638 100000\n35632 53602\n60769 91166\n7467 11220\n12094 18218\n60638 90966\n99019 100000\n28530 42982\n2537 3841\n43226 64969\n14307 21564\n41692 62680\n4700 7059\n92501 100000\n8332 12530\n52261 78429\n95075 100000\n60332 90510\n79052 100000\n70493 100000\n42781 64296\n55396 83096\n59264 88918\n1961 2984\n92676 100000\n64741 97108\n85882 100000\n95330 100000\n84499 100000\n88674 100000\n66949 100000\n70092 100000\n12662 19079\n96892 100000\n90182 100000\n82171 100000\n72849 100000\n1204 1838\n61429 92130\n1479 2266\n46211 69418\n77018 100000\n55230 82853\n12208 18387\n77826 100000\n46455 69778\n67396 100000\n1889 2877\n80964 100000\n32893 49521\n91450 100000\n50961 76504\n4760 7147\n47034 70626\n45984 69079\n45758 68747\n30508 45955\n77028 100000\n48122 72267\n13053 19655\n23393 35276\n17633 26568\n36279 54561\n81868 100000\n24944 37587\n33756 50789\n66041 99076\n78995 100000\n17970 27075\n72165 100000\n17130 25830\n98367 100000\n75502 100000\n5649 8480\n62178 93262\n76800 100000\n41099 61799\n52394 78628\n66820 100000\n80585 100000\n66276 99442\n60423 90644\n80278 100000\n91917 100000\n14805 22317\n37727 56764\n16479 24834\n82780 100000\n38468 57874\n39800 59876\n38979 58632\n42456 63808\n75507 100000\n27270 41066\n68587 100000\n80344 100000\n89705 100000\n48593 72951\n17139 25846\n22701 34226\n71179 100000\n25607 38580\n57614 86431\n32492 48929\n46954 70512\n33125 49855\n32785 49358\n52845 79286\n41737 62743\n28189 42462\n38291 57612\n48287 72507\n49884 74877\n16559 24958\n58542 87829\n34548 51966\n24756 37312\n49230 73913\n59172 88778\n40796 61346\n11556 17414\n51200 76868\n63527 95279\n79014 100000\n16197 24416\n65537 98306\n74653 100000\n86810 100000\n44961 67547\n39702 59722\n94217 100000\n85551 100000\n46361 69635\n29058 43783\n13028 19616\n63323 94975\n67022 100000\n25399 38269\n15951 24039\n74979 100000\n84286 100000\n96653 100000\n34782 52313\n7271 10921\n44379 66671\n47563 71417\n95132 100000\n30975 46656\n54693 82059\n24968 37625\n57263 85881\n94482 100000\n83070 100000\n24445 36862\n13552 20419\n80112 100000\n98731 100000\n73815 100000\n97510 100000\n50392 75650\n74757 100000\n72117 100000\n46874 70389\n48483 72793\n65198 97790\n43438 65290\n66206 99332\n60368 90565\n58395 87607\n21870 32969\n84554 100000\n80398 100000\n47471 71274\n15496 23344\n73056 100000\n12786 19258\n61070 91603\n29587 44562\n42168 63390\n24205 36495\n34759 52280\n86893 100000\n80300 100000\n16912 25496\n13834 20842\n2887 4362\n64444 96647\n2088 3170\n2661 4026\n54916 82383\n21735 32766\n34748 52262\n40897 61495\n10347 15573\n53231 79864\n58696 88063\n97784 100000\n25458 38360\n87189 100000\n68959 100000\n72010 100000\n54058 81121\n4619 6940\n81211 100000\n22371 33730\n49623 74491\n62632 93944\n69665 100000\n44367 66651\n18977 28579\n70084 100000\n72392 100000\n55436 83159\n59944 89940\n68773 100000\n74492 100000\n66745 100000\n26697 40204\n33124 49854\n26524 39944\n58663 88012\n85036 100000\n31428 47328\n60815 91235\n7336 11021\n47695 71612\n97793 100000\n70631 100000\n48636 73014\n78731 100000\n54018 81064\n80750 100000\n45461 68290\n73208 100000\n50999 76562\n27065 40758\n23234 35020\n42116 63315\n80792 100000\n25720 38744\n64577 96857\n76761 100000\n83463 100000\n49155 73795\n3982 5980\n41080 61773\n21028 31699\n79110 100000\n79500 100000\n12512 18850\n89848 100000\n57683 86536\n35044 52715\n29797 44885\n91401 100000\n75205 100000\n58018 87038\n36251 54517\n47357 71111\n64860 97287\n30295 45635\n2178 3300\n17810 26836\n61747 92606\n90922 100000\n69449 100000\n84870 100000\n94027 100000\n78889 100000\n3968 5961\n70047 100000\n48304 72534\n93931 100000\n9788 14735\n96581 100000\n18550 27948\n19736 29755\n19506 29402\n80781 100000\n25000 37675\n13294 20017\n75548 100000\n60845 91275\n90747 100000\n90833 100000\n89647 100000\n52874 79331\n74079 100000\n35238 53011\n11700 17633\n84489 100000\n5765 8665\n91772 100000\n99256 100000\n80764 100000\n78476 100000\n43562 65472\n49847 74821\n6707 10077\n22477 33891\n60232 90364\n73268 100000\n8198 12330\n50917 76439\n58733 88120\n16233 24473\n54285 81459\n3752 5653\n78836 100000\n16234 24475\n80028 100000\n64393 96568\n68235 100000\n80419 100000\n56997 85485\n8467 12730\n43308 65096\n59646 89488\n74904 100000\n19823 29887\n78352 100000\n4457 6703\n625 961\n98408 100000\n26047 39232\n92120 100000\n72387 100000\n62709 94057\n208 317\n73694 100000\n39202 58968\n33966 51100\n23684 35710\n80230 100000\n37476 56387\n64439 96641\n71053 100000\n97528 100000\n23398 35285\n66039 99073\n91662 100000\n58161 87254\n69145 100000\n82997 100000\n51526 77349\n86467 100000\n82661 100000\n2058 3129\n85764 100000\n83578 100000\n97924 100000\n75725 100000\n69817 100000\n48693 73104\n27674 41679\n60936 91410\n62522 93781\n59134 88721\n41974 63107\n49136 73767\n34222 51471\n39028 58704\n52157 78276\n11077 16671\n87622 100000\n49617 74484\n6370 9570\n77943 100000\n86323 100000\n80943 100000\n25420 38298\n6599 9915\n33463 50353\n65574 98364\n81894 100000\n75068 100000\n39952 60096\n55027 82550\n12571 18936\n38331 57671\n41659 62629\n95036 100000\n21422 32279\n36394 54746\n1875 2859\n53959 80975\n92429 100000\n72920 100000\n36632 55116\n41165 61896\n90511 100000\n80594 100000\n85676 100000\n18076 27236\n81983 100000\n99240 100000\n86603 100000\n75896 100000\n25731 38761\n50387 75642\n55464 83201\n73074 100000\n79514 100000\n8825 13283\n44413 66722\n14026 21140\n99217 100000\n11610 17495\n16165 24365\n9908 14919\n45167 67854\n69670 100000\n80186 100000\n19039 28678\n65402 98101\n7466 11218\n82629 100000\n97884 100000\n18813 28339\n23210 34985\n97780 100000\n61173 91758\n36103 54297\n28245 42548\n48661 73054\n81351 100000\n60501 90767\n51831 77812\n49935 74948\n42748 64249\n99494 100000\n6809 10230\n28956 43631\n80151 100000\n23078 34786\n50588 75944\n66473 99735\n74490 100000\n10674 16060\n62391 93589\n2908 4395\n59494 89261\n81213 100000\n48746 73191\n74059 100000\n19809 29866\n84334 100000\n7444 11187\n58616 87940\n95553 100000\n22969 34627\n94039 100000\n95672 100000\n88178 100000\n59292 88962\n28255 42564\n16481 24838\n16549 24940\n98464 100000\n74635 100000\n43436 65287\n13325 20063\n19005 28625\n72332 100000\n76367 100000\n98488 100000\n13920 20976\n53895 80874\n98870 100000\n7867 11826\n42807 64335\n12610 18998\n84324 100000\n37213 55984\n28252 42560\n94293 100000\n42195 63432\n85355 100000\n71287 100000\n85698 100000\n38364 57719\n18499 27871\n56010 84030\n52209 78350\n97107 100000\n80814 100000\n51029 76607\n55712 83578\n83747 100000\n17240 25998\n28337 42695\n97936 100000\n83149 100000\n69969 100000\n77474 100000\n73324 100000\n86566 100000\n1138 1739\n85211 100000\n83188 100000\n1390 2129\n58676 88032\n1707 2601\n57704 86568\n5703 8564\n36898 55526\n22757 34308\n18406 27720\n62035 93039\n5852 8790\n32339 48696\n67115 100000\n69543 100000\n58986 88501\n38512 57934\n1485 2276\n63440 95151\n68521 100000\n82747 100000\n35372 53207\n21237 32001\n75417 100000\n673 1033\n36303 54600\n94135 100000\n46603 69996\n51456 77242\n79688 100000\n73014 100000\n62903 94342\n94436 100000\n42940 64538\n86353 100000\n41349 62166\n76044 100000\n67827 100000\n95447 100000\n95788 100000\n18366 27664\n8979 13515\n57785 86684\n39739 59783\n23292 35112\n93328 100000\n6577 9881\n2442 3688\n26390 39745\n86486 100000\n13430 20224\n2216 3357\n6834 10267\n99235 100000\n75653 100000\n1279 1948\n75967 100000\n55752 83636\n46827 70324\n3674 5535\n7822 11755\n31150 46919\n63557 95322\n89877 100000\n75919 100000\n47217 70893\n86221 100000\n94402 100000\n23605 35588\n90524 100000\n94408 100000\n88967 100000\n32883 49507\n62793 94181\n80637 100000\n93486 100000\n31927 48081\n52853 79298\n40368 60713\n11159 16792\n80802 100000\n24508 36956\n27253 41037\n57889 86843\n1808 2754\n35816 53873\n44065 66214\n80738 100000\n35534 53447\n70861 100000\n87746 100000\n96125 100000\n87513 100000\n42680 64145\n43655 65611\n94534 100000\n22454 33855\n95341 100000\n9785 14729\n56570 84861\n46774 70239\n99916 100000\n46546 69910\n78432 100000\n67301 100000\n75158 100000\n68891 100000\n4871 7318\n43507 65386\n74107 100000\n6105 9179\n37394 56263\n94837 100000\n90649 100000\n42455 63806\n87285 100000\n51535 77364\n61564 92326\n38949 58586\n95713 100000\n29452 44358\n83194 100000\n97351 100000\n43140 64837\n20099 30312\n86426 100000\n78513 100000\n93312 100000\n82654 100000\n95011 100000\n74414 100000\n31108 46853\n61880 92809\n10702 16103\n47662 71566\n93096 100000\n58884 88342\n9043 13609\n18597 28018\n93419 100000\n75171 100000\n73944 100000\n53053 79601\n70271 100000\n4270 6411\n10070 15163\n54936 82415\n69809 100000\n9018 13571\n48419 72700\n3588 5411\n6422 9650\n79671 100000\n86071 100000\n30307 45653\n48554 72895\n50880 76380\n22567 34021\n76989 100000\n10657 16033\n47366 71124\n94038 100000\n28225 42518\n85023 100000\n23223 35005\n1699 2588\n63091 94629\n98983 100000\n10820 16285\n50487 75793\n28313 42654\n68990 100000\n28845 43473\n26966 40607\n14896 22454\n17590 26506\n3397 5134\n43606 65535\n51358 77096\n14047 21169\n96902 100000\n22830 34417\n74149 100000\n42738 64233\n24961 37613\n7393 11110\n47798 71774\n3040 4593\n99888 100000\n71189 100000\n22883 34497\n79661 100000\n49638 74512\n54199 81333\n14467 21811\n40827 61393\n29460 44369\n22501 33926\n8370 12588\n18922 28496\n79754 100000\n11501 17329\n36858 55464\n2557 3872\n77382 100000\n48338 72583\n87660 100000\n51534 77362\n39129 58858\n42690 64159\n13967 21055\n10835 16307\n34999 52646\n62848 94260\n87828 100000\n34237 51493\n31005 46696\n39912 60039\n53693 80560\n39548 59482\n14195 21393\n42476 63838\n6471 9727\n21292 32087\n52095 78187\n62482 93722\n8883 13365\n86817 100000\n7694 11562\n77154 100000\n31976 48149\n60950 91430\n73721 100000\n63967 95941\n35438 53303\n35126 52836\n14992 22594\n72678 100000\n8418 12661\n77189 100000\n64545 96805\n50430 75711\n69789 100000\n5674 8521\n57415 86127\n46452 69772\n33304 50120\n23320 35160\n33510 50419\n74206 100000\n47719 71650\n57995 87004\n75882 100000\n22257 33558\n99712 100000\n65746 98625\n40494 60900\n83732 100000\n40659 61148\n88562 100000\n50819 76292\n75913 100000\n80609 100000\n23269 35072\n97980 100000\n29607 44590\n59772 89680\n17352 26159\n53477 80230\n36724 55257\n79948 100000\n30776 46361\n42498 63871\n5026 7548\n66531 99823\n52983 79492\n11039 16608\n46136 69309\n6073 9136\n78153 100000\n21407 32257\n30799 46396\n9095 13682\n50114 75220\n83259 100000\n60236 90371\n53842 80790\n82349 100000\n30779 46364\n94204 100000\n74598 100000\n41046 61724\n87050 100000\n49344 74081\n68027 100000\n8292 12467\n34007 51163\n46996 70573\n7185 10791\n56245 84358\n42724 64213\n86860 100000\n18161 27360\n6315 9490\n30327 45680\n42710 64191\n42589 64016\n11624 17515\n41590 62521\n80143 100000\n61317 91965\n65615 98425\n80924 100000\n17049 25704\n46970 70535\n80997 100000\n20189 30443\n50973 76520\n71292 100000\n63994 95983\n95895 100000\n24519 36972\n28817 43429\n52183 78313\n62459 93690\n12691 19119\n57274 85899\n49900 74896\n14866 22412\n33244 50033\n58229 87353\n92132 100000\n88295 100000\n15584 23483\n14919 22489\n21584 32536\n42686 64152\n96384 100000\n86122 100000\n2949 4458\n20816 31387\n47762 71720\n11367 17123\n24780 37344\n68509 100000\n23516 35464\n59793 89712\n64975 97458\n23487 35422\n13108 19740\n97299 100000\n19306 29094\n1747 2658\n11568 17432\n83523 100000\n93010 100000\n82992 100000\n27642 41636\n62935 94391\n20394 30752\n53215 79841\n47446 71243\n95657 100000\n16853 25405\n76852 100000\n56867 85299\n21692 32701\n39666 59668\n40644 61125\n82469 100000\n91888 100000\n40688 61188\n52886 79347\n10035 15109\n94035 100000\n30496 45938\n8618 12971\n47105 70740\n57195 85777\n66157 99258\n59396 89125\n86265 100000\n62814 94212\n77105 100000\n77405 100000\n20615 31092\n73783 100000\n54456 81702\n10671 16055\n84397 100000\n15857 23906\n22412 33793\n11237 16915\n29621 44611\n52743 79131\n83974 100000\n55987 83993\n25221 38002\n9564 14404\n2284 3458\n65415 98123\n11761 17726\n10129 15253\n8930 13436\n32706 49243\n61939 92897\n42734 64226\n28424 42826\n84375 100000\n81218 100000\n92344 100000\n95580 100000\n89870 100000\n684 1049\n35764 53795\n39081 58785\n45627 68552\n72352 100000\n58133 87212\n47535 71372\n4821 7245\n7808 11734\n44223 66443\n37279 56080\n11078 16672\n9813 14770\n52342 78552\n49096 73702\n84364 100000\n91812 100000\n67441 100000\n91819 100000\n98375 100000\n74010 100000\n27815 41895\n57025 85525\n49203 73871\n86472 100000\n35819 53878\n66140 99232\n82216 100000\n45332 68099\n86967 100000\n15290 23039\n715 1100\n37940 57088\n43856 65913\n36828 55416\n21557 32491\n55507 83267\n89280 100000\n96254 100000\n58311 87477\n87707 100000\n78065 100000\n33418 50288\n57528 86298\n67577 100000\n73980 100000\n72852 100000\n20896 31505\n61862 92782\n42126 63329\n9587 14437\n91843 100000\n30841 46454\n28126 42364\n5777 8684\n38489 57906\n32696 49229\n51692 77607\n166 250\n88190 100000\n90784 100000\n70431 100000\n37292 56099\n42504 63881\n43758 65770\n58804 88228\n51936 77964\n81357 100000\n56055 84091\n79419 100000\n39113 58832\n32580 49059\n54344 81538\n48094 72222\n52103 78197\n14385 21679\n55366 83054\n79885 100000\n32216 48512\n10281 15479\n3750 5649\n68217 100000\n32494 48932\n51382 77131\n1255 1912\n91015 100000\n62455 93685\n14540 21920\n13659 20576\n75795 100000\n22368 33724\n50840 76320\n38864 58453\n10443 15718\n15902 23972\n83010 100000\n20341 30667\n53205 79826\n4405 6618\n38666 58168\n68329 100000\n66161 99265\n96039 100000\n69130 100000\n43722 65714\n98661 100000\n82633 100000\n24172 36441\n22948 34595\n41386 62217\n65617 98427\n53676 80535\n57150 85711\n26999 40657\n88869 100000\n9474 14255\n54939 82419\n5699 8559\n269 411\n25200 37970\n23443 35353\n44553 66929\n78874 100000\n49881 74871\n16309 24585\n46306 69553\n81990 100000\n67852 100000\n26957 40595\n26617 40072\n24919 37548\n78094 100000\n54276 81443\n23988 36165\n76850 100000\n74171 100000\n69796 100000\n69454 100000\n69996 100000\n24989 37659\n52588 78912\n43951 66052\n44428 66745\n32827 49415\n84133 100000\n15048 22673\n47490 71302\n14659 22098\n18009 27133\n81285 100000\n74770 100000\n20570 31027\n99 148\n91904 100000\n22729 34269\n16862 25419\n70185 100000\n39917 60047\n85180 100000\n61075 91611\n3062 4626\n45477 68312\n82787 100000\n5964 8964\n72649 100000\n62134 93193\n12280 18497\n84165 100000\n99436 100000\n73730 100000\n42508 63888\n45005 67616\n97027 100000\n77136 100000\n33644 50619\n56953 85428\n17215 25960\n2176 3297\n93872 100000\n27465 41363\n83458 100000\n39742 59787\n30748 46316\n98935 100000\n18634 28073\n89188 100000\n50288 75489\n61382 92060\n35338 53154\n18056 27205\n77839 100000\n63133 94691\n31310 47144\n20564 31020\n11021 16583\n15206 22911\n51595 77456\n49221 73899\n10596 15939\n55102 82661\n82534 100000\n9124 13723\n4882 7336\n22196 33467\n29801 44889\n14948 22533\n32553 49020\n46780 70249\n56528 84799\n4583 6890\n9916 14932\n5287 7937\n80487 100000\n37461 56368\n91317 100000\n12896 19416\n55471 83214\n80322 100000\n74940 100000\n10651 16025\n27397 41266\n74488 100000\n80641 100000\n69861 100000\n14631 22056\n89800 100000\n12033 18131\n27283 41086\n52738 79123\n78415 100000\n59316 89002\n994 1518\n63661 95477\n35806 53858\n43780 65800\n36807 55384\n46070 69210\n48511 72834\n82979 100000\n74080 100000\n89210 100000\n64482 96705\n4511 6787\n72865 100000\n26979 40628\n13276 19993\n46812 70301\n34785 52317\n26629 40094\n35355 53181\n51678 77584\n63424 95127\n59111 88686\n19930 30058\n44263 66500\n88907 100000\n17542 26436\n84633 100000\n67067 100000\n73535 100000\n59357 89070\n54533 81815\n36839 55431\n94590 100000\n66297 99475\n16600 25022\n51516 77336\n2308 3496\n11879 17902\n42583 64007\n67670 100000\n94029 100000\n11519 17355\n36715 55244\n21227 31986\n42226 63479\n57903 86864\n77729 100000\n90309 100000\n61381 92059\n26127 39357\n14084 21228\n53943 80950\n45762 68754\n78635 100000\n59377 89100\n17740 26732\n70937 100000\n54306 81487\n37018 55703\n89200 100000\n60659 90996\n38411 57791\n11716 17658\n94065 100000\n93174 100000\n41599 62535\n98344 100000\n87009 100000\n2836 4287\n8557 12872\n2801 4235\n80953 100000\n73241 100000\n67165 100000\n80615 100000\n42376 63692\n90768 100000\n68226 100000\n19639 29604\n64049 96073\n31413 47305\n77349 100000\n25147 37895\n19351 29164\n57217 85813\n38700 58216\n79100 100000\n91790 100000\n3051 4609\n54502 81772\n8032 12078\n99709 100000\n73908 100000\n37379 56238\n12040 18140\n15894 23961\n17947 27043\n43736 65734\n84810 100000\n7793 11710\n62827 94228\n9441 14204\n41172 61905\n35560 53487\n38361 57714\n44289 66538\n12859 19359\n70626 100000\n27223 40993\n30114 45364\n94406 100000\n11807 17791\n18535 27926\n58646 87984\n69096 100000\n43326 65122\n5815 8737\n90981 100000\n34941 52562\n25764 38812\n71895 100000\n97779 100000\n33123 49852\n29523 44464\n86485 100000\n37256 56049\n66928 100000\n5063 7606\n6043 9088\n89831 100000\n25527 38465\n78361 100000\n37212 55983\n61883 92814\n23016 34697\n3256 4921\n27577 41534\n64370 96537\n43189 64912\n25423 38303\n13988 21086\n18759 28261\n80026 100000\n65861 98802\n44585 66977\n2767 4187\n25033 37726\n26380 39733\n25135 37875\n24181 36455\n42059 63226\n32873 49493\n58104 87169\n86851 100000\n75807 100000\n36196 54437\n81025 100000\n9926 14947\n6391 9602\n99605 100000\n49394 74156\n45693 68653\n62760 94132\n53419 80145\n68982 100000\n47166 70824\n23309 35141\n7587 11400\n9819 14779\n53707 80584\n63301 94938\n40963 61595\n36277 54558\n28264 42578\n523 800\n32487 48923\n86124 100000\n4116 6178\n69684 100000\n14915 22483\n85035 100000\n74443 100000\n85055 100000\n22286 33601\n98908 100000\n41713 62708\n1876 2860\n46878 70396\n51497 77309\n48277 72496\n44629 67042\n46871 70384\n84016 100000\n15576 23470\n63175 94754\n5 9\n7340 11026\n71864 100000\n39465 59363\n38132 57370\n98086 100000\n43261 65022\n2274 3444\n28836 43459\n78620 100000\n78381 100000\n95174 100000\n77902 100000\n89048 100000\n22600 34076\n49748 74675\n59412 89146\n27786 41854\n18731 28216\n81293 100000\n88581 100000\n54925 82396\n41180 61917\n48389 72659\n25350 38195\n71910 100000\n89745 100000\n87880 100000\n11344 17084\n84080 100000\n25026 37712\n62107 93145\n54239 81391\n25227 38011\n67962 100000\n15386 23176\n55997 84007\n55814 83728\n14859 22401\n11038 16606\n70956 100000\n17524 26409\n42240 63498\n27913 42043\n96074 100000\n92461 100000\n12601 18984\n36325 54635\n38271 57583\n26366 39711\n18761 28264\n74956 100000\n40357 60699\n67043 100000\n40780 61325\n79106 100000\n78493 100000\n28925 43585\n48199 72387\n28283 42609\n90505 100000\n81405 100000\n2129 3230\n99350 100000\n27794 41866\n48141 72295\n96824 100000\n69156 100000\n14046 21167\n39727 59764\n42154 63373\n36408 54769\n9731 14654\n98035 100000\n94924 100000\n92168 100000\n52542 78841\n69599 100000\n44313 66574\n2503 3785\n75129 100000\n68106 100000\n27353 41195\n48384 72651\n58355 87544\n60516 90785\n48169 72338\n55199 82805\n54450 81695\n180 274\n41449 62312\n31454 47364\n50632 76006\n62255 93385\n66852 100000\n33588 50534\n86295 100000\n13001 19574\n17615 26544\n81175 100000\n96045 100000\n43671 65635\n11376 17136\n82277 100000\n81940 100000\n4134 6204\n63340 95000\n25741 38774\n88007 100000\n47068 70678\n37200 55969\n66570 99880\n73192 100000\n75814 100000\n52573 78889\n5105 7667\n86446 100000\n36464 54855\n35867 53947\n11130 16749\n61327 91979\n77422 100000\n84719 100000\n30467 45896\n34971 52605\n51114 76732\n61493 92221\n96977 100000\n20091 30300\n2839 4292\n22023 33197\n99912 100000\n73363 100000\n62771 94147\n82888 100000\n54009 81051\n4945 7426\n52364 78581\n71247 100000\n80624 100000\n47541 71382\n61974 92948\n7323 11002\n55501 83257\n2642 3997\n89530 100000\n54703 82074\n21749 32789\n9483 14270\n71210 100000\n52108 78205\n9681 14580\n26428 39801\n3940 5920\n97563 100000\n55931 83912\n20331 30651\n95445 100000\n34724 52224\n52309 78506\n87260 100000\n19103 28775\n68889 100000\n11316 17040\n46756 70212\n42472 63832\n16089 24247\n58980 88490\n78523 100000\n66629 99976\n12953 19498\n40759 61292\n92262 100000\n15141 22814\n60902 91360\n40836 61405\n52393 78626\n18194 27411\n69476 100000\n92389 100000\n33625 50588\n24018 36209\n59202 88827\n63570 95340\n28647 43163\n89179 100000\n15827 23861\n22717 34249\n89189 100000\n57000 85490\n60790 91197\n4320 6492\n20410 30774\n38968 58616\n40793 61342\n60500 90765\n71412 100000\n4653 6989\n32982 49647\n15087 22733\n31039 46745\n41766 62783\n68052 100000\n29554 44510\n95714 100000\n28216 42505\n93619 100000\n99559 100000\n12405 18686\n33228 50009\n66884 100000\n66812 100000\n36604 55068\n22666 34175\n40895 61492\n24344 36712\n56324 84481\n19846 29922\n99814 100000\n19013 28638\n87829 100000\n13675 20601\n54168 81286\n75700 100000\n7187 10793\n16757 25253\n44579 66969\n49125 73751\n97236 100000\n93125 100000\n82250 100000\n18927 28504\n27724 41753\n22804 34379\n36150 54370\n35093 52787\n57180 85756\n35387 53229\n46495 69837\n56293 84433\n69882 100000\n17446 26297\n51306 77018\n15887 23948\n2965 4480\n50591 75948\n77209 100000\n51669 77570\n87040 100000\n14844 22381\n79244 100000\n39470 59371\n22079 33283\n75005 100000\n82890 100000\n2069 3144\n42817 64349\n57670 86515\n15126 22797\n24382 36769\n22800 34373\n69015 100000\n94040 100000\n91571 100000\n86067 100000\n12010 18097\n17292 26074\n51457 77243\n69452 100000\n76137 100000\n54337 81530\n75056 100000\n82519 100000\n2879 4350\n50924 76448\n89736 100000\n48048 72149\n99389 100000\n67753 100000\n72380 100000\n93299 100000\n41338 62151\n44821 67332\n24055 36269\n73686 100000\n92391 100000\n62208 93312\n89526 100000\n48820 73297\n16643 25084\n23012 34691\n61311 91958\n64006 96001\n17722 26704\n62109 93149\n78621 100000\n13073 19687\n31600 47600\n15597 23503\n93906 100000\n34379 51714\n54191 81322\n1310 1996\n6933 10412\n16783 25296\n60798 91207\n46735 70180\n99392 100000\n10282 15480\n64591 96877\n93054 100000\n75393 100000\n59290 88958\n53216 79843\n58596 87908\n80822 100000\n88350 100000\n61896 92835\n22823 34408\n13832 20839\n17351 26158\n81358 100000\n84384 100000\n93650 100000\n43636 65581\n87811 100000\n55269 82911\n10945 16468\n4876 7326\n21514 32423\n30891 46534\n85228 100000\n32872 49492\n17079 25750\n18708 28183\n73970 100000\n87682 100000\n68053 100000\n11934 17985\n59614 89442\n35932 54042\n40052 60245\n14351 21626\n61716 92559\n33073 49781\n24257 36580\n15433 23244\n98374 100000\n84325 100000\n77815 100000\n95252 100000\n95180 100000\n31501 47441\n77651 100000\n18711 28187\n48940 73473\n34104 51304\n1954 2975\n19750 29777\n5864 8809\n21829 32908\n76579 100000\n49924 74930\n48270 72487\n55659 83496\n52688 79051\n90568 100000\n30786 46375\n69537 100000\n97857 100000\n74715 100000\n44893 67447\n31578 47561\n35470 53352\n49930 74939\n33069 49777\n15108 22767\n25794 38857\n9518 14328\n35148 52872\n26416 39784\n11141 16767\n11677 17598\n71444 100000\n19371 29197\n27291 41098\n62913 94357\n87067 100000\n40016 60194\n86174 100000\n71049 100000\n46163 69347\n75253 100000\n20948 31581\n55388 83083\n68029 100000\n24336 36700\n99288 100000\n17315 26107\n88695 100000\n89603 100000\n84957 100000\n43928 66020\n93345 100000\n37448 56348\n86030 100000\n20335 30657\n12324 18562\n52664 79018\n35813 53869\n16371 24675\n77252 100000\n68372 100000\n54880 82332\n29638 44637\n75993 100000\n76089 100000\n26798 40359\n2759 4174\n7489 11253\n66106 99175\n53153 79749\n33520 50434\n89911 100000\n58514 87791\n83896 100000\n89204 100000\n15369 23152\n14112 21270\n92704 100000\n18157 27355\n41063 61748\n88909 100000\n80999 100000\n13462 20279\n96740 100000\n43504 65383\n45258 67984\n28134 42376\n17027 25668\n95970 100000\n75288 100000\n34140 51350\n83117 100000\n56846 85268\n9400 14144\n87074 100000\n33601 50553\n11275 16976\n8586 12920\n16576 24981\n41081 61774\n1782 2711\n90612 100000\n22071 33271\n23718 35758\n54051 81111\n55398 83100\n20156 30398\n82598 100000\n60736 91113\n20192 30448\n34741 52250\n58667 88019\n3385 5114\n44400 66702\n78985 100000\n13441 20241\n27534 41468\n96250 100000\n97397 100000\n28122 42358\n98044 100000\n64130 96194\n12442 18743\n15680 23631\n72890 100000\n15694 23652\n82381 100000\n16030 24159\n97904 100000\n9252 13918\n48850 73342\n41557 62473\n77151 100000\n14748 22235\n9925 14946\n76583 100000\n66392 99619\n71920 100000\n35758 53786\n20575 31033\n18797 28315\n96447 100000\n11555 17413\n46384 69671\n19166 28872\n91608 100000\n46311 69560\n98042 100000\n26608 40059\n53320 79990\n33302 50118\n21955 33097\n17045 25697\n68278 100000\n30547 46012\n38895 58504\n61002 91504\n64507 96743\n16312 24589\n11368 17125\n17263 26032\n91135 100000\n3644 5491\n42291 63567\n17910 26991\n57856 86789\n49450 74240\n21806 32874\n51300 77009\n54908 82371\n85075 100000\n85465 100000\n77083 100000\n21511 32419\n70734 100000\n32860 49470\n44327 66593\n14504 21865\n37088 55802\n38370 57730\n94866 100000\n52094 78185\n30528 45986\n65883 98837\n50246 75427\n74012 100000\n29505 44436\n82039 100000\n29386 44268\n18684 28150\n55384 83078\n76019 100000\n97275 100000\n56685 85032\n75390 100000\n63331 94987\n10749 16182\n77879 100000\n60070 90125\n39707 59731\n56821 85228\n69111 100000\n92173 100000\n98863 100000\n41637 62593\n43328 65125\n11268 16967\n42611 64049\n45388 68179\n81714 100000\n75987 100000\n47537 71376\n34149 51362\n7424 11158\n83244 100000\n31972 48143\n11564 17426\n94614 100000\n2018 3070\n22718 34250\n26544 39971\n14162 21345\n75153 100000\n29763 44832\n72518 100000\n74797 100000\n3376 5101\n97728 100000\n75687 100000\n18974 28575\n29021 43725\n1832 2789\n75392 100000\n12980 19540\n64228 96341\n77655 100000\n18951 28542\n73629 100000\n8385 12609\n96196 100000\n42956 64562\n4361 6550\n84960 100000\n57206 85796\n29513 44450\n32210 48502\n45797 68804\n32472 48904\n88388 100000\n46090 69240\n51277 76975\n57845 86772\n17564 26466\n25544 38487\n4036 6062\n86799 100000\n91936 100000\n40291 60599\n86342 100000\n308 473\n47591 71458\n12053 18161\n48136 72288\n12229 18418\n73395 100000\n39242 59024\n66132 99218\n89484 100000\n73876 100000\n85058 100000\n48798 73265\n26091 39299\n40246 60529\n49944 74961\n63058 94577\n64350 96512\n11321 17047\n6078 9144\n830 1276\n18831 28364\n24678 37195\n4748 7131\n75353 100000\n668 1026\n10173 15314\n23287 35104\n48922 73450\n99601 100000\n58183 87286\n78098 100000\n39556 59495\n17809 26834\n73279 100000\n24562 37027\n18081 27244\n28775 43364\n71045 100000\n40027 60212\n1830 2787\n69113 100000\n50940 76474\n23043 34739\n5939 8925\n36935 55581\n10231 15398\n13654 20568\n72953 100000\n8622 12976\n42029 63186\n83879 100000\n54490 81754\n95956 100000\n40531 60956\n14476 21824\n60803 91215\n20774 31324\n86798 100000\n47112 70752\n28680 43219\n98353 100000\n79126 100000\n90439 100000\n22440 33833\n91878 100000\n10888 16385\n21326 32138\n90816 100000\n30410 45805\n92614 100000\n31985 48161\n95372 100000\n50447 75736\n82858 100000\n99942 100000\n57967 86962\n43495 65372\n6453 9697\n8848 13316\n98713 100000\n72705 100000\n31903 48049\n1819 2770\n85207 100000\n14757 22248\n51297 77006\n14768 22264\n30308 45654\n13733 20688\n21831 32910\n26094 39305\n11191 16843\n88373 100000\n96777 100000\n86854 100000\n71953 100000\n37918 57055\n28602 43095\n49240 73927\n11537 17384\n58282 87428\n56179 84261\n96756 100000\n4020 6037\n2632 3983\n13897 20938\n62895 94331\n73674 100000\n76048 100000\n6393 9606\n98685 100000\n77234 100000\n398 613\n43204 64935\n53368 80065\n44723 67185\n24097 36330\n29883 45014\n34717 52215\n4421 6644\n28083 42297\n21388 32232\n16321 24605\n15967 24062\n93870 100000\n26906 40522\n15134 22806\n66717 100000\n46060 69195\n67401 100000\n61106 91651\n75379 100000\n33739 50763\n67682 100000\n29706 44739\n45371 68156\n99823 100000\n73779 100000\n98443 100000\n56051 84086\n51597 77460\n57384 86080\n57221 85820\n21910 33029\n20033 30211\n94772 100000\n16933 25528\n78182 100000\n7622 11457\n19980 30133\n64487 96713\n67421 100000\n1985 3020\n53136 79726\n38903 58517\n25027 37714\n10632 15994\n3418 5161\n55377 83069\n76258 100000\n63038 94550\n67744 100000\n15107 22766\n77253 100000\n80798 100000\n83196 100000\n80949 100000\n35755 53782\n92138 100000\n65253 97869\n96334 100000\n15328 23092\n56895 85340\n76119 100000\n11435 17226\n76731 100000\n77176 100000\n70549 100000\n5979 8988\n20798 31361\n13892 20930\n84737 100000\n43405 65243\n1897 2888\n64764 97145\n5850 8788\n28316 42659\n59253 88901\n93915 100000\n62905 94345\n67055 100000\n26241 39521\n58368 87563\n30994 46680\n65068 97595\n27178 40926\n55715 83581\n81030 100000\n67161 100000\n71633 100000\n79485 100000\n94053 100000\n2201 3335\n59434 89176\n97537 100000\n65769 98662\n15708 23674\n96782 100000\n22363 33716\n13490 20320\n34359 51680\n83127 100000\n2083 3162\n29896 45036\n38104 57330\n54657 82005\n96321 100000\n61009 91516\n75813 100000\n92246 100000\n13567 20441\n28620 43127\n1548 2357\n50055 75128\n91226 100000\n80719 100000\n79544 100000\n48845 73333\n527 807\n54663 82014\n65722 98589\n41034 61704\n31952 48116\n61987 92969\n71667 100000\n33613 50569\n12831 19323\n93587 100000\n56704 85062\n9878 14871\n46234 69446\n88933 100000\n69355 100000\n51326 77046\n38126 57360\n1053 1607\n16989 25611\n24136 36388\n29026 43731\n67959 100000\n43055 64706\n32409 48804\n18704 28177\n75862 100000\n70208 100000\n69059 100000\n82324 100000\n88791 100000\n5882 8837\n10180 15322\n43181 64900\n53274 79925\n40460 60851\n82896 100000\n84655 100000\n86242 100000\n87273 100000\n5906 8874\n87545 100000\n258 396\n46973 70540\n21973 33124\n23648 35654\n41181 61918\n95543 100000\n9951 14982\n50507 75820\n95491 100000\n85039 100000\n272 416\n47414 71195\n88564 100000\n41285 62073\n26028 39202\n93179 100000\n1098 1678\n980 1497\n29444 44348\n27137 40862\n80338 100000\n17500 26375\n90086 100000\n64349 96511\n48767 73222\n60205 90321\n2116 3209\n21791 32852\n54518 81793\n39974 60132\n77898 100000\n59541 89329\n8528 12828\n90986 100000\n58232 87358\n10640 16007\n82798 100000\n80223 100000\n95591 100000\n49210 73882\n10707 16111\n33737 50759\n96999 100000\n75753 100000\n83115 100000\n2234 3385\n84773 100000\n54930 82405\n45710 68678\n99310 100000\n94561 100000\n21456 32335\n19402 29245\n25934 39064\n78900 100000\n19181 28893\n3143 4751\n99990 100000\n72357 100000\n66198 99319\n51701 77618\n34692 52181\n43914 65997\n63931 95885\n66615 99953\n1807 2752\n34422 51778\n96588 100000\n92365 100000\n38328 57667\n98681 100000\n10399 15654\n86027 100000\n1907 2900\n34114 51316\n12238 18431\n2358 3572\n78695 100000\n40882 61474\n48210 72402\n11644 17546\n61235 91845\n59878 89842\n91626 100000\n6001 9019\n80075 100000\n87905 100000\n42740 64237\n44692 67137\n32615 49109\n72782 100000\n42839 64382\n42122 63323\n47151 70808\n70533 100000\n95695 100000\n83435 100000\n72847 100000\n59993 90013\n47019 70605\n34739 52248\n36120 54323\n82917 100000\n79539 100000\n23316 35154\n96269 100000\n38540 57974\n99113 100000\n2089 3172\n27606 41580\n71750 100000\n55315 82985\n78557 100000\n2448 3698\n32947 49598\n26830 40405\n65999 99014\n90842 100000\n16247 24490\n76613 100000\n70408 100000\n54259 81421\n15351 23123\n41155 61882\n16520 24899\n14443 21778\n95025 100000\n98965 100000\n91145 100000\n83564 100000\n44402 66705\n91569 100000\n17372 26186\n2663 4030\n811 1248\n6079 9145\n68024 100000\n39177 58931\n52836 79272\n57183 85760\n90011 100000\n45814 68827\n26368 39714\n699 1074\n33640 50611\n5046 7583\n3723 5605\n86130 100000\n77556 100000\n45633 68561\n8588 12923\n99418 100000\n54961 82450\n25723 38748\n8158 12270\n5604 8413\n59457 89208\n87949 100000\n40194 60451\n34459 51834\n5559 8345\n96991 100000\n17909 26989\n47479 71285\n10590 15930\n17358 26166\n76092 100000\n89250 100000\n62592 93882\n10496 15796\n78838 100000\n46693 70124\n40620 61088\n11885 17910\n76157 100000\n25611 38586\n31235 47043\n89952 100000\n34302 51595\n21825 32903\n56172 84251\n83158 100000\n73426 100000\n53913 80900\n93300 100000\n16141 24328\n8258 12418\n16637 25074\n22289 33606\n97002 100000\n66922 100000\n3678 5542\n19968 30119\n78070 100000\n21582 32533\n39701 59721\n97069 100000\n6363 9561\n45756 68744\n34879 52464\n14072 21209\n44554 66931\n2731 4132\n37484 56399\n858 1319\n34872 52453\n42528 63921\n2266 3432\n73920 100000\n76277 100000\n13380 20149\n83013 100000\n81731 100000\n461 707\n32168 48438\n64942 97410\n35487 53378\n49189 73847\n8788 13226\n65031 97542\n10960 16492\n39445 59329\n38454 57855\n79967 100000\n96466 100000\n3824 5758\n42618 64057\n36573 55020\n15342 23110\n44486 66827\n99664 100000\n4096 6148\n6974 10469\n6850 10289\n59782 89695\n94585 100000\n47781 71747\n97005 100000\n55495 83250\n33430 50305\n96803 100000\n50279 75477\n11954 18013\n15500 23350\n90226 100000\n67900 100000\n32213 48507\n49447 74236\n54781 82191\n18003 27123\n65739 98615\n87718 100000\n19169 28875\n80828 100000\n65408 98112\n75633 100000\n56935 85402\n61224 91828\n80562 100000\n5624 8443\n63798 95694\n37551 56498\n32739 49288\n5768 8670\n10573 15906\n49239 73925\n79409 100000\n4233 6356\n42451 63800\n43059 64713\n78401 100000\n72128 100000\n40976 61613\n93127 100000\n76539 100000\n86137 100000\n20077 30279\n11298 17013\n17666 26614\n74643 100000\n70615 100000\n48238 72440\n89683 100000\n17029 25671\n85398 100000\n28221 42512\n794 1223\n27555 41500\n96432 100000\n30054 45274\n27784 41850\n15620 23537\n92875 100000\n96523 100000\n9163 13781\n65202 97796\n58186 87292\n42415 63752\n29182 43967\n31273 47093\n50635 76012\n38162 57415\n29846 44953\n65878 98829\n99267 100000\n40613 61077\n35508 53408\n2601 3934\n43953 66055\n4746 7127\n50092 75187\n83228 100000\n33264 50065\n67474 100000\n7103 10667\n7225 10848\n58595 87907\n4275 6420\n55800 83707\n17753 26752\n46360 69633\n38748 58285\n32562 49033\n94968 100000\n53376 80077\n59922 89908\n73865 100000\n74680 100000\n35132 52845\n57531 86302\n74209 100000\n41891 62981\n89186 100000\n72157 100000\n3934 5912\n59168 88772\n66546 99843\n250 383\n3434 5189\n18007 27129\n98977 100000\n23133 34865\n31334 47180\n42401 63730\n11656 17563\n88643 100000\n97680 100000\n83132 100000\n55695 83553\n11514 17349\n53067 79626\n10712 16119\n90819 100000\n80842 100000\n45254 67979\n67377 100000\n67574 100000\n39195 58958\n99305 100000\n70535 100000\n31942 48104\n62390 93588\n83221 100000\n75492 100000\n77564 100000\n6039 9082\n68601 100000\n34078 51268\n84879 100000\n76040 100000\n50640 76018\n29593 44571\n8630 12989\n43166 64875\n13188 19861\n90748 100000\n73161 100000\n96142 100000\n2121 3217\n615 945\n18480 27843\n36127 54335\n25680 38681\n85459 100000\n38688 58198\n70961 100000\n72859 100000\n83470 100000\n2941 4446\n39689 59702\n49429 74209\n99865 100000\n63219 94818\n35747 53769\n45521 68380\n80291 100000\n35159 52890\n7860 11815\n45615 68533\n88964 100000\n61647 92454\n81658 100000\n70376 100000\n90272 100000\n14953 22540\n13275 19992\n92901 100000\n29661 44671\n8668 13047\n45192 67892\n38347 57695\n27038 40716\n11974 18043\n8224 12368\n81019 100000\n10161 15299\n74101 100000\n75937 100000\n2768 4188\n38409 57787\n64121 96183\n33004 49678\n90889 100000\n93593 100000\n55560 83349\n83748 100000\n99636 100000\n71146 100000\n40929 61543\n51385 77136\n22719 34251\n86738 100000\n6151 9247\n52539 78836\n39709 59735\n91941 100000\n3747 5643\n32322 48672\n50195 75344\n29370 44244\n67893 100000\n33662 50644\n59932 89922\n73045 100000\n7433 11169\n89103 100000\n14899 22458\n1293 1970\n51251 76937\n23658 35670\n13621 20517\n29598 44578\n50223 75391\n3904 5869\n1325 2020\n70923 100000\n78583 100000\n1802 2744\n93365 100000\n77328 100000\n97998 100000\n28735 43305\n61992 92979\n41837 62896\n35042 52712\n515 788\n81763 100000\n31689 47736\n65790 98693\n16084 24240\n2758 4172\n31858 47981\n34381 51717\n93653 100000\n28150 42401\n46236 69449\n98939 100000\n91221 100000\n66575 99889\n99629 100000\n47336 71079\n92999 100000\n83940 100000\n71708 100000\n31217 47015\n84573 100000\n62211 93316\n31623 47638\n50695 76099\n60023 90059\n88127 100000\n42837 64379\n43135 64830\n83750 100000\n62514 93768\n33118 49847\n29620 44609\n36927 55570\n42182 63411\n34678 52159\n81089 100000\n35855 53931\n92119 100000\n97800 100000\n79803 100000\n68128 100000\n7229 10854\n32599 49084\n29717 44760\n90534 100000\n90096 100000\n11274 16975\n5597 8404\n5203 7805\n62726 94081\n41188 61931\n80811 100000\n58286 87434\n28811 43420\n24016 36206\n1577 2404\n55900 83867\n76332 100000\n93618 100000\n3721 5603\n72513 100000\n562 861\n76754 100000\n25880 38986\n9088 13671\n43072 64733\n74132 100000\n93521 100000\n92693 100000\n36987 55656\n58276 87420\n81229 100000\n88675 100000\n47528 71362\n94998 100000\n94793 100000\n67849 100000\n31965 48133\n7401 11122\n10330 15550\n31148 46915\n83522 100000\n96234 100000\n58455 87702\n96612 100000\n68346 100000\n11773 17743\n73442 100000\n47718 71649\n79535 100000\n49996 75040\n84883 100000\n41765 62782\n7408 11133\n72751 100000\n16589 25003\n55750 83634\n85604 100000\n45886 68931\n96403 100000\n2179 3302\n78745 100000\n97492 100000\n30559 46030\n96850 100000\n17019 25657\n33460 50349\n91795 100000\n104 154\n66581 99898\n61743 92602\n46856 70364\n43690 65667\n94521 100000\n78614 100000\n92931 100000\n212 325\n84542 100000\n48256 72466\n50643 76021\n56000 84012\n73514 100000\n3614 5448\n89936 100000\n76959 100000\n32148 48405\n27998 42168\n19010 28633\n29878 45007\n53210 79833\n64592 96878\n98849 100000\n29451 44357\n1281 1950\n21158 31889\n9313 14014\n48179 72356\n51785 77742\n84003 100000\n82754 100000\n54129 81225\n7980 11997\n79550 100000\n66840 100000\n68556 100000\n31961 48129\n5843 8779\n67162 100000\n44391 66690\n86425 100000\n25949 39085\n58690 88054\n84580 100000\n56599 84902\n26698 40206\n11869 17886\n83668 100000\n57365 86051\n69220 100000\n43021 64657\n39879 59989\n16737 25222\n2606 3943\n64058 96086\n98101 100000\n51018 76591\n1777 2705\n35115 52818\n40078 60285\n66034 99065\n69195 100000\n38091 57312\n68779 100000\n81793 100000\n35708 53709\n89047 100000\n27037 40715\n94498 100000\n42695 64166\n97981 100000\n25280 38090\n2437 3679\n30337 45694\n88621 100000\n12682 19106\n87113 100000\n78904 100000\n61887 92820\n37060 55761\n40170 60416\n48574 72922\n35572 53507\n48774 73232\n59037 88575\n91172 100000\n78349 100000\n17327 26124\n89403 100000\n6442 9682\n45890 68939\n84560 100000\n66939 100000\n82467 100000\n26924 40544\n2770 4191\n79615 100000\n25072 37785\n82352 100000\n22880 34494\n13813 20808\n49271 73972\n28350 42715\n48578 72929\n23404 35295\n72062 100000\n92397 100000\n88150 100000\n3767 5671\n96957 100000\n84537 100000\n99428 100000\n53139 79732\n81560 100000\n16272 24529\n3928 5901\n54438 81679\n98844 100000\n62619 93926\n37057 55756\n76878 100000\n27812 41890\n50879 76378\n18139 27328\n93212 100000\n749 1151\n18330 27618\n26848 40433\n45961 69044\n41539 62448\n16748 25239\n83699 100000\n5141 7716\n85298 100000\n98190 100000\n21225 31983\n16759 25257\n53039 79578\n77640 100000\n51953 77988\n18581 27995\n24367 36748\n59528 89310\n43704 65689\n63778 95662\n26420 39790\n45086 67735\n66799 100000\n55524 83296\n78637 100000\n5235 7857\n70825 100000\n67017 100000\n51830 77810\n34038 51210\n3318 5013\n58283 87429\n84831 100000\n26424 39795\n75367 100000\n13656 20572\n68673 100000\n48165 72333\n32521 48974\n66204 99330\n71818 100000\n79055 100000\n11362 17115\n18328 27615\n48590 72946\n28343 42705\n66196 99315\n28261 42573\n64323 96474\n63083 94615\n99750 100000\n72428 100000\n44574 66963\n2483 3754\n13770 20746\n75925 100000\n62678 94011\n52640 78984\n19088 28755\n20898 31509\n49482 74287\n9328 14035\n46764 70223\n80987 100000\n71551 100000\n32023 48218\n98358 100000\n48041 72139\n13409 20195\n97852 100000\n30123 45378\n55790 83695\n74525 100000\n74075 100000\n51728 77658\n42458 63812\n85066 100000\n55054 82591\n14648 22080\n59826 89762\n54184 81313\n32720 49263\n78992 100000\n85429 100000\n57490 86240\n47137 70787\n50351 75590\n59085 88648\n43528 65418\n12295 18520\n10103 15210\n40578 61027\n6701 10067\n98047 100000\n18949 28538\n11815 17805\n21758 32803\n12760 19224\n77710 100000\n73434 100000\n28852 43483\n48073 72188\n69323 100000\n32935 49583\n54472 81722\n16952 25559\n76446 100000\n9071 13648\n40756 61288\n25058 37766\n13578 20457\n73816 100000\n62009 93004\n65532 98299\n40821 61385\n38044 57238\n9911 14923\n82146 100000\n64614 96908\n82587 100000\n45419 68226\n82615 100000\n58029 87052\n15562 23448\n47677 71587\n38587 58047\n13185 19856\n50521 75841\n65594 98398\n6633 9967\n43835 65883\n48178 72354\n44386 66681\n66358 99566\n69472 100000\n59445 89192\n12770 19236\n51051 76639\n31079 46807\n1842 2806\n73549 100000\n45500 68345\n60486 90742\n31306 47139\n17114 25803\n18451 27794\n76798 100000\n20085 30291\n17396 26224\n66669 100000\n64070 96106\n74850 100000\n13872 20899\n35108 52810\n11 17\n67591 100000\n58502 87772\n81433 100000\n92664 100000\n58920 88399\n7407 11131\n75786 100000\n77045 100000\n75719 100000\n35169 52908\n69609 100000\n66006 99023\n11741 17699\n18001 27121\n45152 67830\n78619 100000\n70818 100000\n15200 22904\n24941 37582\n18964 28562\n94031 100000\n83125 100000\n85061 100000\n72520 100000\n28391 42770\n92740 100000\n55482 83231\n81579 100000\n4599 6912\n53021 79549\n97307 100000\n12209 18388\n48525 72854\n65785 98686\n20681 31190\n64403 96586\n44887 67439\n8863 13339\n46607 70003\n96858 100000\n80628 100000\n54942 82423\n13365 20124\n24391 36784\n30964 46641\n40359 60703\n60229 90360\n99188 100000\n45754 68742\n82030 100000\n30012 45210\n88452 100000\n69868 100000\n86429 100000\n63093 94632\n98470 100000\n59021 88551\n11949 18006\n47793 71767\n5143 7719\n24807 37381\n97836 100000\n81710 100000\n26079 39279\n9623 14489\n8935 13445\n12780 19248\n49387 74145\n78067 100000\n88379 100000\n46762 70221\n74769 100000\n56134 84204\n5694 8549\n69287 100000\n98199 100000\n41394 62229\n95012 100000\n39529 59455\n21135 31853\n74379 100000\n92815 100000\n50133 75253\n95128 100000\n84497 100000\n93058 100000\n89428 100000\n38296 57620\n73055 100000\n73672 100000\n56914 85367\n70890 100000\n69371 100000\n83500 100000\n61873 92797\n97607 100000\n73936 100000\n94569 100000\n71044 100000\n62701 94046\n74586 100000\n98539 100000\n8843 13308\n96644 100000\n71566 100000\n74172 100000\n65723 98590\n97512 100000\n15785 23795\n23179 34936\n98780 100000\n80959 100000\n69253 100000\n38375 57738\n24220 36522\n45342 68116\n52919 79396\n7483 11247\n83106 100000\n74619 100000\n67590 100000\n39003 58668\n8609 12956\n22262 33566\n57816 86726\n93613 100000\n44412 66720\n28719 43280\n69667 100000\n2049 3114\n94 143\n54388 81602\n6792 10208\n56910 85361\n83303 100000\n81411 100000\n91884 100000\n59373 89096\n99587 100000\n20361 30702\n72536 100000\n94251 100000\n52370 78589\n27746 41789\n87206 100000\n62025 93026\n11796 17775\n79391 100000\n4536 6824\n9592 14445\n42 67\n80063 100000\n11657 17565\n36533 54961\n15061 22694\n93172 100000\n93624 100000\n70541 100000\n17974 27081\n7359 11053\n88283 100000\n3697 5569\n3828 5765\n11349 17091\n9323 14029\n72236 100000\n50028 75086\n15163 22846\n98809 100000\n50731 76158\n96035 100000\n21859 32952\n94294 100000\n45039 67664\n78834 100000\n82278 100000\n22542 33982\n47362 71119\n10856 16338\n99568 100000\n25559 38510\n87842 100000\n61650 92458\n6763 10165\n46923 70463\n50585 75939\n1186 1811\n53040 79580\n28533 42987\n92331 100000\n68254 100000\n65239 97845\n41419 62266\n86728 100000\n23532 35485\n24313 36665\n1332 2031\n41212 61969\n31678 47719\n5633 8456\n36565 55007\n10952 16478\n39347 59186\n84288 100000\n21928 33054\n77519 100000\n31107 46851\n34124 51329\n39409 59278\n6953 10438\n6371 9572\n99174 100000\n45532 68398\n97152 100000\n66553 99855\n10031 15103\n56920 85378\n20252 30542\n26681 40180\n57792 86697\n19264 29023\n70689 100000\n75585 100000\n62548 93815\n19844 29920\n95810 100000\n73929 100000\n89804 100000\n44122 66296\n58666 88017\n37158 55911\n54898 82357\n1553 2365\n94943 100000\n43538 65432\n66152 99251\n63744 95605\n63465 95188\n88657 100000\n26243 39525\n9875 14865\n89700 100000\n63291 94926\n89199 100000\n91043 100000\n26645 40121\n23148 34887\n97150 100000\n38889 58496\n23678 35700\n40059 60256\n35217 52982\n74369 100000\n77765 100000\n58599 87914\n39111 58828\n57599 86407\n26103 39319\n38412 57793\n73058 100000\n31140 46902\n20749 31288\n24645 37145\n79764 100000\n91371 100000\n88385 100000\n20370 30714\n96962 100000\n1400 2147\n97050 100000\n82232 100000\n50233 75408\n61651 92460\n94387 100000\n71583 100000\n64196 96290\n919 1407\n88410 100000\n1360 2080\n91524 100000\n62191 93286\n95722 100000\n40717 61232\n60661 90999\n72876 100000\n52908 79379\n19941 30078\n94199 100000\n35466 53346\n67633 100000\n4835 7263\n49841 74813\n37206 55976\n26162 39405\n70417 100000\n48643 73027\n51133 76766\n16617 25042\n80389 100000\n38284 57603\n8763 13188\n72122 100000\n63642 95448\n61819 92715\n48491 72807\n97469 100000\n52961 79463\n69500 100000\n53466 80213\n20321 30636\n83186 100000\n85186 100000\n7564 11369\n59042 88581\n83737 100000\n32616 49110\n96145 100000\n123 184\n36142 54358\n35951 54071\n34953 52578\n86958 100000\n37956 57114\n76729 100000\n44305 66561\n5162 7748\n79971 100000\n55855 83795\n59460 89212\n54503 81773\n88878 100000\n37434 56324\n19541 29451\n31953 48118\n43916 66000\n72955 100000\n67966 100000\n83954 100000\n65275 97904\n37644 56636\n30262 45583\n51559 77401\n92537 100000\n62000 92990\n78267 100000\n57493 86244\n2838 4291\n545 836\n74755 100000\n52531 78826\n77180 100000\n2096 3182\n3086 4663\n16722 25200\n63357 95025\n63270 94893\n70862 100000\n14773 22271\n85713 100000\n48017 72105\n87153 100000\n88595 100000\n24288 36627\n689 1057\n79846 100000\n10690 16085\n40492 60896\n39214 58985\n81208 100000\n86948 100000\n15130 22801\n30007 45201\n98608 100000\n15395 23189\n79689 100000\n97977 100000\n85716 100000\n75283 100000\n85324 100000\n98495 100000\n16585 24996\n37046 55745\n90917 100000\n11515 17351\n89125 100000\n34537 51948\n97972 100000\n60032 90071\n47946 72003\n99961 100000\n31827 47934\n39539 59471\n37781 56847\n11789 17766\n16031 24161\n61316 91964\n59099 88669\n3740 5633\n66281 99449\n72659 100000\n96244 100000\n20708 31229\n66061 99107\n13421 20212\n32736 49284\n24538 36998\n32716 49258\n5457 8195\n92249 100000\n75641 100000\n36769 55328\n27151 40883\n42756 64261\n40473 60869\n55231 82854\n6054 9105\n64660 96978\n93551 100000\n73148 100000\n49674 74564\n16399 24718\n12848 19343\n26008 39170\n68736 100000\n3065 4630\n49315 74038\n13495 20328\n66455 99711\n20822 31397\n86046 100000\n68873 100000\n48388 72657\n87442 100000\n55009 82526\n18192 27407\n23506 35449\n89437 100000\n20439 30822\n79741 100000\n47160 70817\n19077 28735\n87646 100000\n57991 86998\n94888 100000\n66294 99470\n57827 86744\n25099 37825\n79489 100000\n25669 38664\n56847 85269\n35131 52844\n87946 100000\n48876 73381\n62187 93280\n58789 88205\n18360 27657\n7764 11668\n67728 100000\n64852 97276\n23530 35483\n76724 100000\n29893 45030\n25478 38390\n21549 32479\n38280 57599\n66517 99803\n1067 1628\n89385 100000\n11940 17993\n43586 65507\n54967 82460\n82663 100000\n30979 46660\n7923 11909\n26778 40332\n11436 17227\n81523 100000\n61204 91798\n64759 97138\n76490 100000\n89632 100000\n93634 100000\n81850 100000\n42453 63803\n88902 100000\n3192 4825\n2930 4430\n19659 29636\n70895 100000\n88899 100000\n68715 100000\n43201 64932\n80005 100000\n6559 9858\n94795 100000\n14063 21193\n79348 100000\n61419 92117\n49887 74881\n98407 100000\n56983 85467\n4461 6709\n46784 70256\n6443 9683\n23172 34925\n21921 33045\n95752 100000\n29563 44525\n30955 46629\n3150 4762\n11751 17714\n72299 100000\n25022 37707\n84001 100000\n85301 100000\n40621 61089\n98553 100000\n2095 3181\n42878 64442\n78725 100000\n22952 34600\n98250 100000\n39644 59634\n65500 98251\n48153 72314\n26212 39480\n90118 100000\n19755 29786\n58435 87674\n46651 70067\n26731 40257\n47799 71776\n61999 92989\n62389 93586\n824 1266\n20393 30750\n13215 19902\n39587 59545\n67485 100000\n44773 67260\n3242 4900\n77644 100000\n86890 100000\n8119 12209\n43357 65172\n11734 17686\n67167 100000\n87224 100000\n27914 42045\n73127 100000\n82014 100000\n54924 82395\n6211 9335\n6874 10324\n15968 24063\n73803 100000\n58215 87332\n3124 4720\n49409 74175\n55828 83751\n71223 100000\n4383 6583\n75660 100000\n86247 100000\n12661 19077\n99110 100000\n52035 78107\n16975 25590\n62015 93011\n61674 92495\n42542 63945\n75650 100000\n29430 44327\n8356 12563\n11032 16598\n67336 100000\n52729 79108\n80369 100000\n4184 6282\n58882 88339\n76134 100000\n1536 2343\n81842 100000\n43247 65003\n58044 87077\n19595 29539\n3833 5771\n29228 44033\n75307 100000\n51923 77944\n8379 12599\n66736 100000\n22909 34539\n36202 54447\n88459 100000\n80644 100000\n97376 100000\n54436 81675\n1975 3006\n88095 100000\n12070 18185\n55520 83290\n91527 100000\n876 1343\n753 1158\n9065 13640\n74077 100000\n65628 98444\n5264 7903\n19370 29195\n75950 100000\n86302 100000\n16514 24891\n70378 100000\n61174 91759\n64932 97395\n61402 92090\n95362 100000\n55742 83621\n50189 75335\n54141 81244\n59786 89702\n22149 33396\n41228 61992\n74931 100000\n8448 12705\n22683 34201\n71135 100000\n877 1345\n154 232\n96961 100000\n86371 100000\n61211 91808\n3080 4654\n20848 31437\n94364 100000\n80153 100000\n60959 91441\n79375 100000\n64135 96203\n80018 100000\n85008 100000\n17851 26901\n21230 31991\n7362 11057\n52065 78146\n34560 51981\n55679 83525\n81054 100000\n17000 25626\n67758 100000\n4273 6416\n59654 89501\n51195 76862\n59710 89590\n47910 71944\n98512 100000\n83614 100000\n47189 70855\n75831 100000\n87501 100000\n40522 60942\n65195 97786\n1054 1608\n8277 12443\n76949 100000\n36662 55161\n70366 100000\n88272 100000\n47005 70585\n59866 89823\n95560 100000\n94274 100000\n62212 93318\n44278 66522\n75119 100000\n75626 100000\n38953 58592\n14721 22197\n31582 47568\n91460 100000\n92359 100000\n17958 27058\n21576 32524\n37743 56788\n51102 76713\n20038 30219\n28672 43208\n3184 4814\n7439 11178\n89601 100000\n39327 59153\n16758 25255\n87218 100000\n1091 1669\n79078 100000\n66863 100000\n65420 98131\n30473 45904\n1987 3022\n95988 100000\n55921 83900\n29582 44554\n16267 24521\n6450 9693\n17371 26185\n74687 100000\n40435 60812\n49397 74160\n32173 48445\n40707 61217\n68623 100000\n11445 17238\n31997 48178\n1939 2951\n3349 5063\n22927 34562\n62017 93014\n16333 24624\n57944 86925\n91299 100000\n56982 85466\n59096 88663\n56165 84242\n46319 69569\n29979 45158\n11455 17256\n83599 100000\n62464 93698\n51942 77973\n86922 100000\n28797 43398\n41104 61808\n79325 100000\n475 727\n48577 72927\n34757 52276\n12411 18695\n87751 100000\n19157 28857\n2962 4476\n34754 52271\n7801 11722\n87002 100000\n71650 100000\n96158 100000\n67617 100000\n3544 5351\n70094 100000\n67197 100000\n86164 100000\n56226 84333\n63208 94801\n23117 34843\n57414 86126\n36999 55675\n81871 100000\n34490 51877\n88558 100000\n72839 100000\n63692 95522\n11470 17279\n63650 95459\n80706 100000\n4950 7433\n51270 76966\n33776 50821\n91465 100000\n8469 12734\n49545 74378\n60782 91186\n15792 23807\n2149 3257\n95400 100000\n39538 59469\n98406 100000\n97036 100000\n78303 100000\n59547 89337\n948 1449\n51862 77853\n90433 100000\n83066 100000\n69426 100000\n2804 4239\n30022 45224\n61460 92171\n84200 100000\n47026 70616\n502 767\n22367 33723\n28246 42550\n98281 100000\n10065 15156\n96004 100000\n75516 100000\n49893 74888\n53244 79882\n33587 50532\n17077 25746\n16630 25062\n89117 100000\n81997 100000\n49551 74387\n16143 24332\n52991 79504\n19253 29006\n1811 2759\n27545 41484\n99054 100000\n85556 100000\n76789 100000\n15483 23324\n35009 52663\n18455 27802\n90812 100000\n52624 78965\n80559 100000\n69970 100000\n236 364\n52338 78546\n62420 93633\n31130 46885\n3997 6003\n85426 100000\n1411 2164\n76121 100000\n99863 100000\n19278 29046\n53516 80291\n68315 100000\n6973 10467\n25009 37688\n89677 100000\n77804 100000\n47149 70806\n32106 48342\n52913 79386\n28605 43101\n38082 57299\n84160 100000\n89989 100000\n34323 51630\n20195 30454\n96643 100000\n57022 85521\n46142 69317\n58243 87374\n70125 100000\n692 1061\n89853 100000\n67559 100000\n14657 22094\n28132 42373\n48897 73414\n42176 63401\n58633 87965\n69571 100000\n74143 100000\n39906 60031\n73390 100000\n41505 62398\n38325 57663\n42525 63916\n56527 84797\n99841 100000\n72694 100000\n54631 81965\n42595 64026\n61881 92811\n24724 37263\n80836 100000\n2956 4468\n59715 89598\n72362 100000\n36590 55044\n43919 66005\n44919 67484\n44133 66310\n25142 37889\n50986 76540\n48905 73424\n3615 5449\n30487 45925\n45025 67643\n80233 100000\n27352 41193\n12741 19198\n11824 17818\n72023 100000\n78816 100000\n10635 15999\n76068 100000\n26890 40499\n94238 100000\n65674 98512\n12362 18623\n81676 100000\n83133 100000\n54092 81171\n89885 100000\n30700 46243\n81538 100000\n4703 7064\n85686 100000\n72531 100000\n37886 57001\n24808 37382\n17665 26613\n35455 53329\n29595 44574\n10182 15326\n61942 92903\n40918 61527\n50222 75389\n48216 72409\n28263 42576\n321 491\n69033 100000\n40547 60981\n39694 59710\n27923 42059\n70177 100000\n19495 29386\n95645 100000\n71873 100000\n17599 26520\n97204 100000\n31043 46750\n95739 100000\n66412 99647\n78975 100000\n67045 100000\n28175 42439\n12564 18927\n99298 100000\n59584 89397\n46240 69456\n82643 100000\n8389 12615\n73201 100000\n82825 100000\n10742 16170\n68023 100000\n13484 20312\n67832 100000\n10440 15712\n91382 100000\n93020 100000\n33839 50912\n77145 100000\n69974 100000\n87638 100000\n64446 96649\n5247 7876\n75490 100000\n40901 61501\n23697 35727\n49660 74545\n20177 30428\n36865 55476\n16039 24173\n66214 99345\n74963 100000\n1867 2846\n45639 68572\n22558 34005\n87823 100000\n29212 44011\n80865 100000\n87394 100000\n47124 70767\n55432 83155\n92111 100000\n63875 95804\n26319 39640\n61256 91881\n63345 95006\n84126 100000\n51156 76803\n76262 100000\n3959 5950\n69772 100000\n4734 7110\n68272 100000\n99760 100000\n50801 76266\n25451 38350\n30080 45314\n9930 14953\n92657 100000\n52522 78812\n87941 100000\n14182 21375\n44366 66649\n88867 100000\n26663 40151\n45855 68887\n24952 37601\n92555 100000\n49162 73806\n11673 17591\n50060 75136\n77365 100000\n13369 20130\n50618 75984\n12343 18592\n8841 13306\n32924 49567\n42236 63492\n35823 53884\n63338 94998\n55033 82559\n99208 100000\n64078 96120\n79392 100000\n13261 19972\n78951 100000\n22219 33498\n16296 24566\n36337 54657\n70845 100000\n33560 50490\n97871 100000\n27908 42034\n73254 100000\n20933 31560\n74361 100000\n62951 94417\n14623 22041\n30105 45351\n63206 94799\n35908 54009\n91597 100000\n57122 85668\n36944 55594\n15693 23650\n50427 75707\n90281 100000\n68774 100000\n64652 96966\n48486 72799\n12744 19201\n71073 100000\n87685 100000\n61933 92887\n20542 30983\n19915 30034\n8666 13044\n75863 100000\n38022 57208\n93135 100000\n9193 13826\n44765 67249\n29906 45048\n55865 83811\n4435 6666\n38710 58229\n51473 77271\n87 132\n87817 100000\n94947 100000\n16977 25594\n11220 16887\n93604 100000\n98331 100000\n38034 57225\n96325 100000\n17020 25659\n21769 32820\n83021 100000\n67723 100000\n67458 100000\n50925 76450\n55278 82925\n19268 29029\n99010 100000\n81178 100000\n77376 100000\n47097 70728\n23827 35918\n73035 100000\n76712 100000\n29350 44220\n94111 100000\n49331 74059\n91640 100000\n40416 60784\n70634 100000\n30940 46605\n96472 100000\n14229 21447\n74610 100000\n31574 47554\n16164 24363\n43363 65182\n57361 86044\n29012 43712\n7668 11525\n84354 100000\n6808 10228\n53839 80785\n48090 72216\n21507 32414\n1932 2940\n72577 100000\n30909 46559\n71456 100000\n93908 100000\n30233 45539\n90195 100000\n855 1313\n35933 54043\n13794 20779\n51476 77275\n58001 87013\n52860 79308\n58947 88442\n15613 23526\n11322 17049\n9268 13944\n84223 100000\n10616 15971\n80526 100000\n67984 100000\n31158 46930\n86849 100000\n18235 27472\n65245 97854\n37243 56029\n61088 91628\n19261 29018\n1853 2823\n80495 100000\n83948 100000\n65600 98408\n40330 60654\n60347 90535\n68571 100000\n18228 27461\n32103 48338\n53082 79649\n17825 26859\n95601 100000\n65560 98342\n29524 44466\n567 866\n51109 76723\n89970 100000\n46873 70387\n36914 55552\n60020 90054\n88360 100000\n16003 24115\n96258 100000\n22512 33942\n93457 100000\n16075 24228\n23566 35533\n29530 44474\n71705 100000\n51873 77871\n17836 26878\n80152 100000\n20916 31537\n94174 100000\n20610 31083\n50217 75380\n82921 100000\n8680 13064\n41133 61850\n43828 65872\n58466 87717\n6910 10380\n77303 100000\n37807 56881\n62685 94021\n56540 84817\n32295 48631\n46537 69896\n29560 44521\n82600 100000\n25178 37940\n39459 59353\n79709 100000\n26504 39917\n10714 16122\n22984 34650\n63344 95005\n72862 100000\n61857 92776\n90035 100000\n30014 45213\n9045 13612\n34138 51347\n89940 100000\n67461 100000\n54107 81193\n67654 100000\n19996 30156\n35542 53458\n62437 93660\n57781 86678\n89993 100000\n60608 90922\n62273 93413\n55585 83387\n44545 66917\n95281 100000\n26434 39809\n57522 86287\n24430 36842\n42635 64082\n2161 3275\n63437 95146\n98279 100000\n76901 100000\n77794 100000\n18552 27952\n12231 18422\n67902 100000\n99176 100000\n90727 100000\n69078 100000\n99303 100000\n61935 92890\n65846 98780\n54222 81364\n21602 32565\n92861 100000\n80444 100000\n261 400\n67930 100000\n92161 100000\n76945 100000\n21004 31664\n28215 42504\n21939 33072\n89273 100000\n3336 5043\n1563 2382\n73302 100000\n58281 87427\n90876 100000\n5390 8097\n61442 92145\n94565 100000\n34178 51402\n44174 66365\n3008 4546\n61798 92685\n46284 69520\n39682 59692\n11506 17337\n9424 14179\n93235 100000\n16488 24848\n96172 100000\n25689 38695\n75625 100000\n83876 100000\n42224 63477\n22992 34661\n73829 100000\n87026 100000\n77875 100000\n15961 24052\n60698 91054\n98618 100000\n99139 100000\n83092 100000\n56697 85051\n42319 63605\n86307 100000\n55135 82712\n29670 44683\n54293 81469\n76958 100000\n15668 23616\n50239 75417\n81950 100000\n80962 100000\n260 399\n65496 98243\n40696 61202\n86788 100000\n15985 24087\n97389 100000\n72661 100000\n74677 100000\n62897 94334\n7993 12018\n8785 13222\n61373 92048\n65312 97959\n90989 100000\n19688 29680\n90494 100000\n25113 37843\n27103 40814\n10552 15875\n66210 99339\n17025 25666\n92691 100000\n49965 74991\n4870 7317\n43684 65657\n60805 91218\n14582 21979\n82668 100000\n49686 74582\n15819 23850\n69673 100000\n18848 28387\n54873 82322\n93646 100000\n88448 100000\n14324 21586\n97506 100000\n57755 86640\n23065 34771\n45464 68294\n32914 49552\n70526 100000\n81313 100000\n75116 100000\n78170 100000\n62518 93775\n94620 100000\n27071 40765\n23820 35906\n47961 72023\n33247 50038\n86814 100000\n14181 21373\n27933 42075\n11682 17605\n11168 16806\n14643 22073\n60596 90906\n91657 100000\n14317 21577\n25176 37937\n34241 51498\n87467 100000\n16595 25014\n61848 92761\n86161 100000\n66164 99268\n36790 55360\n10258 15442\n66769 100000\n53217 79844\n44715 67171\n79938 100000\n46821 70316\n27828 41912\n28379 42751\n87445 100000\n90247 100000\n99008 100000\n44435 66755\n98060 100000\n53816 80751\n18781 28291\n48070 72184\n23667 35683\n69125 100000\n68557 100000\n76877 100000\n98659 100000\n30458 45881\n29268 44098\n44827 67341\n94299 100000\n7531 11315\n5682 8530\n33631 50596\n84597 100000\n26995 40651\n23491 35428\n89292 100000\n58845 88289\n25402 38272\n55460 83196\n54591 81904\n10319 15535\n33529 50446\n15267 23004\n78554 100000\n69763 100000\n6354 9549\n59495 89262\n48190 72374\n84475 100000\n27583 41542\n28560 43034\n3032 4582\n80733 100000\n53361 80055\n31740 47809\n23101 34820\n83286 100000\n60833 91260\n39785 59854\n36772 55331\n15173 22858\n91359 100000\n34144 51356\n42751 64253\n28984 43672\n36221 54476\n25004 37681\n90862 100000\n77067 100000\n86262 100000\n36232 54493\n46794 70272\n49598 74455\n4770 7164\n72840 100000\n45552 68432\n4185 6284\n85270 100000\n37600 56572\n54282 81453\n44812 67319\n98556 100000\n68737 100000\n53339 80019\n10380 15624\n62536 93799\n25456 38356\n9284 13970\n72064 100000\n88601 100000\n14561 21948\n70257 100000\n36242 54508\n57502 86256\n30310 45658\n74491 100000\n96766 100000\n87526 100000\n28577 43061\n13786 20769\n86787 100000\n48393 72665\n75187 100000\n75035 100000\n77291 100000\n43661 65620\n82476 100000\n60339 90522\n82078 100000\n5746 8636\n81006 100000\n69521 100000\n38589 58051\n35989 54128\n27965 42122\n643 986\n99867 100000\n69870 100000\n36112 54309\n42465 63822\n8499 12781\n87558 100000\n42829 64366\n77586 100000\n74647 100000\n7173 10772\n88053 100000\n58263 87402\n87098 100000\n76530 100000\n86462 100000\n55839 83770\n22833 34422\n87573 100000\n11848 17854\n73579 100000\n31229 47032\n58662 88010\n74579 100000\n83566 100000\n39733 59773\n2951 4460\n24400 36796\n24105 36343\n34952 52577\n86286 100000\n61908 92852\n44457 66786\n95114 100000\n90966 100000\n83056 100000\n42475 63837\n24819 37399\n88652 100000\n98313 100000\n22195 33466\n82127 100000\n24970 37628\n12061 18173\n1065 1626\n24902 37525\n18894 28457\n7337 11022\n97858 100000\n14227 21443\n51455 77240\n93276 100000\n70759 100000\n20175 30426\n40175 60424\n85081 100000\n59619 89449\n14066 21199\n80125 100000\n74478 100000\n27603 41574\n67724 100000\n1721 2621\n44730 67197\n77772 100000\n29776 44852\n33137 49873\n34687 52173\n71680 100000\n23588 35564\n75506 100000\n36513 54929\n71615 100000\n46197 69398\n56634 84955\n20160 30406\n81173 100000\n85567 100000\n67582 100000\n94358 100000\n3853 5795\n6457 9704\n44670 67104\n64045 96066\n89694 100000\n50569 75916\n62692 94031\n14198 21398\n88435 100000\n88120 100000\n36318 54623\n60173 90272\n9464 14240\n6897 10359\n31071 46797\n43536 65429\n38597 58062\n27052 40737\n85446 100000\n2339 3542\n33229 50010\n55698 83556\n1964 2988\n66043 99079\n48596 72956\n31923 48075\n26313 39631\n78767 100000\n94219 100000\n79845 100000\n86871 100000\n64835 97251\n81290 100000\n61253 91876\n497 759\n13080 19699\n88755 100000\n78403 100000\n65272 97899\n9346 14060\n88155 100000\n35190 52942\n57744 86624\n32330 48683\n47411 71190\n85609 100000\n65489 98232\n10815 16277\n73123 100000\n38301 57625\n40109 60329\n2059 3130\n57295 85930\n57169 85740\n17858 26910\n41700 62690\n72191 100000\n16099 24262\n18718 28196\n75251 100000\n71154 100000\n56993 85479\n88084 100000\n2900 4382\n34559 51980\n31762 47837\n57936 86912\n15084 22727\n85189 100000\n10320 15537\n18303 27575\n8055 12112\n71546 100000\n86303 100000\n19682 29673\n7856 11809\n23744 35793\n84058 100000\n65696 98545\n24580 37052\n70557 100000\n78959 100000\n87795 100000\n11924 17969\n62018 93016\n57310 85958\n41139 61858\n79512 100000\n74326 100000\n18010 27135\n97554 100000\n71823 100000\n4920 7394\n32928 49573\n41671 62647\n28136 42379\n76003 100000\n81573 100000\n7177 10778\n75746 100000\n49860 74843\n62958 94427\n55911 83883\n60090 90155\n57520 86284\n57723 86593\n5022 7541\n96492 100000\n59513 89288\n68817 100000\n10466 15751\n88578 100000\n46864 70375\n54111 81200\n84131 100000\n72949 100000\n84192 100000\n84143 100000\n29684 44706\n69582 100000\n26414 39782\n38340 57685\n7363 11059\n5343 8021\n8300 12478\n9238 13895\n27380 41239\n24301 36647\n55125 82697\n37561 56511\n24398 36793\n80648 100000\n22946 34592\n887 1361\n20714 31239\n56762 85144\n42449 63797\n52941 79430\n12307 18539\n77066 100000\n61964 92931\n73282 100000\n65635 98452\n28513 42954\n2296 3478\n87123 100000\n20302 30609\n69931 100000\n54225 81369\n23511 35456\n64769 97153\n69357 100000\n14843 22379\n25381 38239\n10309 15520\n24766 37324\n66038 99071\n42012 63161\n80840 100000\n49449 74239\n64556 96823\n52453 78713\n33896 50993\n31495 47430\n70157 100000\n6067 9126\n64568 96841\n18137 27325\n15298 23051\n40254 60542\n21482 32372\n78676 100000\n6444 9684\n46436 69747\n9021 13574\n39788 59859\n9774 14711\n94567 100000\n28982 43670\n81995 100000\n26258 39551\n98625 100000\n36476 54874\n31861 47985\n91670 100000\n98119 100000\n56817 85222\n64468 96683\n18154 27352\n41028 61694\n23604 35586\n66504 99785\n61155 91732\n68732 100000\n15260 22993\n33425 50299\n9506 14309\n18129 27315\n62672 94000\n79760 100000\n49501 74318\n5560 8347\n61749 92609\n8497 12778\n44668 67101\n61238 91851\n42163 63384\n61384 92062\n84721 100000\n53310 79977\n47685 71599\n43024 64663\n59896 89873\n94869 100000\n84360 100000\n63526 95277\n1429 2190\n93126 100000\n41484 62365\n47571 71429\n16180 24389\n80912 100000\n97434 100000\n98056 100000\n93779 100000\n86956 100000\n7602 11425\n67229 100000\n81466 100000\n58864 88315\n88449 100000\n75258 100000\n60449 90684\n24500 36945\n48014 72100\n42140 63351\n59834 89773\n47875 71889\n96775 100000\n6852 10292\n59278 88939\n41489 62371\n18574 27984\n58875 88330\n30542 46005\n36190 54431\n94016 100000\n144 216\n78996 100000\n29577 44548\n5209 7814\n91918 100000\n16072 24222\n48928 73458\n38153 57401\n15835 23873\n17266 26037\n27600 41569\n87976 100000\n45520 68379\n98695 100000\n12291 18513\n31973 48145\n487 744\n11069 16656\n37988 57162\n9838 14807\n78500 100000\n97805 100000\n59701 89576\n21992 33148\n80869 100000\n15332 23098\n86334 100000\n15081 22723\n20638 31124\n42348 63647\n37714 56744\n58553 87845\n758 1166\n53190 79806\n69919 100000\n99690 100000\n4656 6993\n98997 100000\n37851 56949\n8656 13028\n26426 39798\n70350 100000\n13065 19674\n26265 39561\n39243 59025\n53946 80955\n24545 37006\n89168 100000\n38706 58225\n59755 89656\n64306 96449\n79004 100000\n17746 26742\n84586 100000\n88540 100000\n7796 11715\n25714 38736\n93107 100000\n88133 100000\n38888 58495\n58659 88006\n18073 27231\n29649 44653\n91049 100000\n88894 100000\n44915 67479\n96336 100000\n48432 72718\n86661 100000\n7624 11461\n78378 100000\n47937 71987\n88882 100000\n65306 97950\n11017 16578\n26885 40490\n93798 100000\n55400 83103\n16078 24233\n71959 100000\n58589 87898\n17796 26815\n68596 100000\n11989 18064\n70684 100000\n2710 4100\n52483 78758\n35036 52703\n79588 100000\n59652 89497\n70292 100000\n37203 55973\n86746 100000\n18169 27371\n77777 100000\n95465 100000\n6350 9544\n71023 100000\n61447 92153\n24465 36893\n84921 100000\n42394 63719\n24978 37642\n15906 23977\n52525 78816\n65226 97829\n77470 100000\n42202 63443\n39565 59512\n30584 46069\n40378 60726\n97057 100000\n52980 79488\n94925 100000\n73943 100000\n98102 100000\n84484 100000\n15132 22804\n65273 97901\n19773 29814\n67835 100000\n58548 87837\n15281 23026\n59041 88580\n30031 45235\n1072 1637\n9083 13664\n65699 98550\n65170 97748\n75044 100000\n34053 51232\n9339 14050\n35276 53065\n68461 100000\n43115 64802\n88576 100000\n40185 60439\n45097 67751\n20860 31455\n36374 54713\n27170 40913\n88058 100000\n96530 100000\n91821 100000\n61186 91774\n61116 91666\n5089 7644\n63090 94627\n90178 100000\n3201 4838\n36674 55180\n1984 3019\n37517 56449\n92632 100000\n75292 100000\n33478 50372\n27945 42091\n33396 50254\n81602 100000\n84507 100000\n77411 100000\n13245 19951\n78112 100000\n99635 100000\n64795 97191\n53064 79621\n78307 100000\n58487 87748\n99727 100000\n73850 100000\n2301 3485\n7964 11970\n50422 75699\n8045 12098\n19497 29389\n81294 100000\n31859 47982\n99109 100000\n41417 62262\n29641 44640\n70403 100000\n79058 100000\n54422 81655\n23762 35818\n96206 100000\n32030 48229\n46243 69462\n58954 88451\n56535 84810\n78029 100000\n56149 84223\n67575 100000\n79498 100000\n34737 52245\n48700 73116\n96657 100000\n9559 14395\n16745 25234\n4222 6340\n48465 72768\n84483 100000\n82966 100000\n68541 100000\n66981 100000\n47579 71442\n76992 100000\n66340 99542\n82407 100000\n84095 100000\n61523 92262\n77637 100000\n69000 100000\n79242 100000\n60559 90845\n30696 46236\n17999 27119\n21961 33105\n58885 88343\n11234 16909\n39349 59188\n46121 69285\n91404 100000\n34605 52048\n99265 100000\n70034 100000\n9450 14217\n8824 13282\n12710 19151\n58721 88103\n86044 100000\n44280 66525\n24263 36589\n15073 22713\n772 1188\n33508 50416\n3075 4645\n66 106\n95531 100000\n78032 100000\n73762 100000\n83854 100000\n78766 100000\n96129 100000\n78380 100000\n75124 100000\n28857 43490\n15341 23109\n55904 83872\n16799 25323\n19814 29872\n92072 100000\n26002 39161\n87750 100000\n77961 100000\n26930 40551\n74043 100000\n99698 100000\n73676 100000\n54027 81077\n46646 70059\n41663 62636\n60958 91440\n587 901\n73103 100000\n17933 27026\n59125 88709\n79906 100000\n21520 32431\n84643 100000\n96692 100000\n67867 100000\n73067 100000\n12872 19377\n1226 1871\n9560 14397\n31758 47831\n23088 34801\n81298 100000\n7608 11434\n66213 99344\n56761 85142\n90009 100000\n59261 88912\n85696 100000\n8619 12972\n1986 3021\n90274 100000\n270 413\n39062 58758\n30701 46244\n73449 100000\n27530 41462\n81806 100000\n74217 100000\n2241 3394\n62975 94453\n37563 56513\n85278 100000\n13961 21047\n13697 20634\n28172 42433\n75805 100000\n48938 73471\n41683 62665\n69505 100000\n30772 46355\n77998 100000\n74177 100000\n50977 76526\n94864 100000\n53252 79893\n33199 49965\n98303 100000\n84010 100000\n97052 100000\n67552 100000\n30330 45685\n97146 100000\n40842 61412\n15031 22651\n47434 71223\n55690 83543\n5791 8704\n75018 100000\n64984 97470\n79797 100000\n62918 94366\n98152 100000\n61177 91762\n16806 25334\n90330 100000\n41451 62315\n29309 44158\n95005 100000\n40159 60400\n21275 32059\n22365 33720\n16561 24961\n77200 100000\n4644 6976\n32930 49576\n27035 40712\n42121 63321\n75208 100000\n97851 100000\n25088 37809\n38627 58110\n43454 65313\n86017 100000\n64188 96278\n87277 100000\n73654 100000\n5702 8562\n24656 37160\n21094 31795\n61938 92895\n53078 79643\n73616 100000\n71596 100000\n60634 90962\n21415 32268\n51035 76614\n5411 8123\n97405 100000\n22930 34568\n73203 100000\n53958 80973\n5483 8228\n24246 36562\n57747 86628\n64345 96506\n68143 100000\n16529 24911\n44929 67500\n27243 41022\n20884 31487\n27273 41070\n40028 60213\n68608 100000\n46919 70457\n21693 32703\n52737 79121\n76861 100000\n46660 70080\n10550 15872\n43125 64818\n57731 86607\n12511 18849\n56127 84193\n59963 89967\n30125 45381\n74691 100000\n89033 100000\n94942 100000\n68796 100000\n12592 18967\n14677 22124\n35877 53964\n67800 100000\n33618 50577\n34051 51229\n67564 100000\n50452 75744\n56475 84714\n47052 70651\n60909 91370\n17023 25664\n32990 49659\n44997 67603\n93290 100000\n73433 100000\n7806 11732\n70662 100000\n20887 31491\n25479 38392\n8547 12857\n41970 63103\n63633 95436\n98385 100000\n84373 100000\n5831 8761\n96163 100000\n75690 100000\n56213 84314\n46706 70139\n42823 64356\n49746 74673\n95190 100000\n35051 52726\n19269 29031\n86232 100000\n75869 100000\n58605 87923\n63221 94821\n98139 100000\n58221 87341\n30971 46650\n77325 100000\n38200 57473\n16598 25019\n53070 79631\n60564 90853\n21964 33111\n92856 100000\n2357 3571\n78733 100000\n3831 5769\n49799 74753\n50264 75452\n81281 100000\n87711 100000\n29186 43973\n13097 19724\n87147 100000\n39225 59001\n75847 100000\n3246 4905\n90252 100000\n28448 42862\n10794 16244\n76793 100000\n69374 100000\n14798 22305\n1582 2411\n43043 64690\n13103 19734\n84917 100000\n28544 43007\n69612 100000\n25076 37791\n13290 20013\n25789 38848\n47729 71666\n59116 88694\n12772 19238\n27877 41989\n81975 100000\n86377 100000\n62547 93813\n28079 42292\n24896 37516\n90291 100000\n841 1292\n6698 10063\n92113 100000\n87363 100000\n28655 43177\n49521 74348\n62981 94463\n13306 20037\n81906 100000\n53748 80647\n99576 100000\n82928 100000\n57819 86732\n65658 98487\n43422 65268\n10982 16523\n7873 11834\n42742 64241\n53431 80160\n39846 59937\n1831 2788\n37802 56875\n47209 70882\n71414 100000\n2264 3429\n85011 100000\n73312 100000\n871 1338\n93214 100000\n52308 78504\n77889 100000\n45914 68974\n33243 50032\n73296 100000\n83790 100000\n36297 54589\n17969 27073\n36695 55215\n94580 100000\n26227 39501\n12197 18371\n96288 100000\n52933 79415\n34850 52419\n58414 87639\n15747 23735\n27116 40828\n11096 16698\n95388 100000\n25215 37994\n53176 79787\n35801 53850\n70704 100000\n63534 95286\n67010 100000\n94904 100000\n63056 94574\n70395 100000\n71019 100000\n26122 39349\n43996 66118\n50625 75996\n84910 100000\n37951 57105\n83895 100000\n92157 100000\n90597 100000\n37787 56855\n54843 82283\n16752 25244\n51313 77030\n48192 72377\n81093 100000\n51355 77090\n43883 65952\n45145 67821\n54138 81238\n44316 66578\n10041 15119\n93851 100000\n67087 100000\n97732 100000\n18319 27602\n73764 100000\n40023 60205\n40286 60592\n88244 100000\n61441 92143\n63153 94721\n90158 100000\n53426 80154\n92573 100000\n60185 90292\n90767 100000\n54779 82188\n87618 100000\n55722 83592\n33760 50795\n45175 67865\n29969 45143\n86391 100000\n85166 100000\n26437 39813\n81097 100000\n92870 100000\n79176 100000\n23187 34950\n34595 52032\n82905 100000\n35858 53935\n22391 33764\n2881 4353\n51895 77906\n67107 100000\n38486 57902\n98009 100000\n12051 18158\n71452 100000\n26892 40502\n99118 100000\n50533 75857\n58758 88161\n99993 100000\n96434 100000\n49051 73637\n23481 35413\n68693 100000\n8179 12302\n62132 93189\n1097 1677\n34776 52304\n69259 100000\n71722 100000\n47672 71581\n40818 61379\n74894 100000\n6992 10495\n26765 40311\n66687 100000\n8371 12589\n220 338\n28499 42935\n4350 6533\n81931 100000\n13674 20599\n87677 100000\n33719 50733\n21049 31729\n21421 32277\n61268 91898\n18027 27157\n48099 72231\n10571 15904\n58917 88395\n53211 79834\n34552 51971\n71855 100000\n94531 100000\n43455 65315\n9316 14018\n32675 49197\n54044 81102\n13600 20486\n99064 100000\n73104 100000\n34394 51734\n21316 32122\n87170 100000\n64996 97487\n33569 50503\n95172 100000\n27859 41959\n80470 100000\n90563 100000\n23612 35596\n98733 100000\n53728 80617\n24510 36958\n76575 100000\n93170 100000\n63782 95669\n3984 5983\n46531 69886\n50329 75555\n48810 73284\n15910 23984\n66521 99809\n12706 19145\n44717 67175\n12001 18082\n26068 39261\n24866 37468\n12954 19500\n92982 100000\n81180 100000\n39595 59560\n37570 56525\n81546 100000\n37769 56829\n86835 100000\n56186 84272\n33405 50268\n77110 100000\n68968 100000\n18266 27519\n1815 2765\n41791 62825\n89969 100000\n72130 100000\n51836 77818\n48101 72234\n17046 25698\n74802 100000\n50946 76482\n34389 51727\n14680 22129\n79556 100000\n74523 100000\n36841 55434\n68920 100000\n4017 6033\n83368 100000\n86736 100000\n77566 100000\n76452 100000\n68394 100000\n90959 100000\n68983 100000\n89785 100000\n88138 100000\n59821 89755\n50479 75782\n53212 79836\n26915 40535\n37974 57142\n94336 100000\n99300 100000\n77238 100000\n1467 2244\n14807 22320\n46287 69525\n20240 30522\n18686 28154\n88844 100000\n51346 77077\n70777 100000\n99416 100000\n99536 100000\n4921 7395\n10099 15203\n30187 45471\n55958 83951\n82713 100000\n94744 100000\n66403 99637\n4775 7173\n19368 29191\n19487 29375\n41780 62808\n59492 89258\n68834 100000\n42279 63550\n30731 46288\n32136 48387\n93439 100000\n26269 39566\n52596 78922\n72058 100000\n2247 3404\n59246 88892\n88947 100000\n64055 96082\n78940 100000\n57977 86976\n85368 100000\n12799 19276\n73140 100000\n54047 81107\n1584 2415\n50459 75753\n2363 3579\n77996 100000\n57598 86406\n50046 75115\n20058 30251\n83170 100000\n16948 25551\n9325 14032\n67394 100000\n41341 62154\n569 869\n53771 80680\n82325 100000\n38793 58350\n86340 100000\n66415 99653\n72605 100000\n71290 100000\n69644 100000\n79033 100000\n2646 4005\n39271 59066\n38441 57833\n79949 100000\n81438 100000\n57939 86916\n40002 60173\n26586 40025\n85964 100000\n12903 19425\n20120 30344\n75286 100000\n7799 11720\n19706 29710\n97620 100000\n69209 100000\n63832 95742\n72909 100000\n26262 39558\n5442 8172\n39425 59299\n90964 100000\n66997 100000\n81816 100000\n73565 100000\n41415 62259\n40334 60660\n87367 100000\n26712 40228\n62026 93027\n5188 7784\n76114 100000\n65899 98863\n33815 50878\n92816 100000\n7128 10702\n85037 100000\n23374 35242\n36364 54697\n24272 36601\n35627 53592\n1580 2408\n78524 100000\n95957 100000\n36985 55653\n98422 100000\n83209 100000\n87253 100000\n74564 100000\n9156 13774\n65010 97510\n23407 35299\n33498 50401\n71950 100000\n4072 6117\n93175 100000\n37998 57173\n75487 100000\n87188 100000\n47210 70884\n52501 78782\n34061 51243\n55457 83191\n31033 46735\n86515 100000\n19606 29558\n53358 80051\n77931 100000\n24275 36607\n65059 97584\n79300 100000\n27522 41451\n71401 100000\n24320 36674\n34608 52051\n38669 58171\n53661 80512\n38312 57643\n72707 100000\n40625 61095\n23426 35331\n54658 82007\n77109 100000\n10506 15812\n51318 77036\n68249 100000\n89720 100000\n52954 79453\n32061 48275\n84589 100000\n62862 94281\n99337 100000\n50669 76058\n74352 100000\n86350 100000\n65125 97682\n50775 76226\n59734 89625\n38807 58369\n71997 100000\n37928 57069\n63539 95294\n77721 100000\n42793 64316\n80245 100000\n76042 100000\n55591 83395\n40439 60817\n92915 100000\n66818 100000\n5673 8520\n47920 71960\n37283 56086\n27769 41826\n19398 29239\n16326 24613\n70322 100000\n12986 19550\n19004 28623\n41778 62804\n96091 100000\n52345 78556\n19177 28886\n4796 7208\n73222 100000\n74339 100000\n76582 100000\n51249 76933\n64265 96391\n82379 100000\n77628 100000\n42650 64103\n13949 21027\n52532 78827\n11718 17661\n5465 8205\n47079 70699\n37930 57072\n56546 84826\n1613 2456\n62541 93805\n17872 26932\n86608 100000\n31021 46717\n51539 77370\n72760 100000\n43398 65234\n9647 14523\n93256 100000\n30675 46204\n85908 100000\n13736 20692\n8842 13307\n28677 43215\n9764 14697\n41295 62089\n19636 29598\n36508 54921\n96360 100000\n85467 100000\n11444 17236\n98175 100000\n11788 17765\n94223 100000\n74473 100000\n70876 100000\n84264 100000\n95183 100000\n15310 23066\n88593 100000\n92564 100000\n19338 29146\n50985 76539\n40954 61580\n56294 84434\n95148 100000\n29108 43856\n54612 81939\n82123 100000\n79112 100000\n16719 25197\n47042 70638\n25835 38920\n80966 100000\n14355 21633\n56746 85120\n76545 100000\n66740 100000\n23931 36073\n5566 8356\n10825 16291\n38310 57640\n1089 1666\n60394 90601\n92806 100000\n72149 100000\n26652 40132\n15427 23234\n71637 100000\n89027 100000\n11871 17890\n7534 11320\n70466 100000\n8075 12146\n59991 90010\n130 196\n30775 46359\n46421 69727\n52876 79334\n59724 89609\n72 112\n61753 92616\n13864 20887\n17899 26975\n12340 18586\n57620 86441\n58559 87855\n70677 100000\n89379 100000\n13201 19880\n11943 17999\n13775 20754\n96402 100000\n40553 60992\n87542 100000\n24033 36233\n87466 100000\n69104 100000\n81642 100000\n20985 31632\n50933 76464\n16421 24750\n31571 47551\n1321 2014\n79081 100000\n80925 100000\n26737 40266\n83207 100000\n84647 100000\n69631 100000\n83478 100000\n64619 96916\n71740 100000\n80864 100000\n50560 75899\n14856 22397\n50987 76542\n10226 15390\n47148 70804\n5968 8970\n75841 100000\n16878 25445\n91332 100000\n67979 100000\n21995 33152\n94328 100000\n62963 94436\n23456 35372\n85503 100000\n56049 84084\n86490 100000\n88541 100000\n61218 91819\n98644 100000\n36174 54405\n94148 100000\n60382 90583\n49389 74148\n66220 99353\n84782 100000\n48856 73352\n99131 100000\n86430 100000\n42874 64436\n905 1388\n98267 100000\n23526 35478\n93730 100000\n5062 7604\n90241 100000\n1784 2715\n48414 72693\n33550 50475\n15261 22995\n15699 23660\n43294 65075\n16751 25243\n67006 100000\n22112 33338\n4485 6745\n98481 100000\n72480 100000\n62662 93984\n51636 77519\n56421 84631\n7575 11384\n70424 100000\n80427 100000\n31750 47820\n12478 18800\n61217 91818\n11328 17058\n68946 100000\n35630 53598\n23263 35063\n77146 100000\n56068 84109\n40126 60356\n97471 100000\n62171 93252\n20865 31463\n9189 13820\n28024 42206\n29951 45116\n55168 82757\n18131 27318\n51920 77939\n49403 74168\n31349 47202\n91023 100000\n73669 100000\n2236 3387\n29753 44814\n65019 97522\n98143 100000\n25790 38850\n34920 52529\n80098 100000\n3083 4658\n64225 96337\n61159 91737\n53934 80933\n76128 100000\n32441 48850\n12822 19308\n75760 100000\n98038 100000\n20048 30236\n97708 100000\n79842 100000\n86060 100000\n42242 63501\n88954 100000\n26084 39288\n12204 18382\n11151 16782\n91534 100000\n3452 5216\n44047 66189\n78643 100000\n78505 100000\n26850 40436\n6635 9969\n6604 9923\n44559 66939\n67619 100000\n28569 43048\n63070 94594\n84577 100000\n43991 66111\n6857 10298\n48231 72429\n35178 52924\n33515 50427\n6127 9211\n293 449\n14577 21973\n92991 100000\n8101 12184\n19984 30139\n8955 13476\n6189 9302\n60370 90568\n71207 100000\n35151 52878\n42794 64317\n15833 23871\n80739 100000\n65915 98885\n153 231\n90875 100000\n39763 59819\n57466 86204\n69062 100000\n70380 100000\n41334 62146\n90479 100000\n72898 100000\n41125 61840\n27636 41625\n98574 100000\n47035 70627\n73624 100000\n1440 2204\n29008 43705\n26961 40601\n58647 87986\n11341 17080\n94146 100000\n42090 63272\n25932 39061\n73538 100000\n60289 90448\n78720 100000\n82523 100000\n25604 38576\n66938 100000\n58316 87484\n97897 100000\n94051 100000\n45811 68824\n87391 100000\n98179 100000\n2005 3050\n9273 13951\n33883 50973\n77341 100000\n9826 14788\n84650 100000\n25561 38514\n45448 68270\n51 82\n26101 39316\n18950 28540\n63207 94800\n8712 13111\n32098 48332\n63072 94597\n22598 34074\n77036 100000\n11482 17300\n47587 71453\n66178 99288\n9835 14802\n68522 100000\n10695 16093\n11803 17783\n75524 100000\n19727 29741\n88696 100000\n47389 71158\n80093 100000\n29497 44424\n41628 62579\n13328 20068\n2190 3318\n11119 16734\n9254 13922\n1227 1872\n51314 77032\n655 1003\n24354 36728\n51174 76832\n78729 100000\n99260 100000\n24037 36240\n10073 15168\n19475 29356\n89278 100000\n95054 100000\n99989 100000\n22808 34385\n79032 100000\n41237 62007\n70817 100000\n49476 74277\n14690 22146\n6271 9427\n53598 80416\n53916 80904\n49992 75034\n29238 44050\n83129 100000\n41495 62382\n10511 15817\n83935 100000\n34168 51387\n53752 80655\n94172 100000\n87940 100000\n21815 32887\n27676 41683\n10787 16235\n30220 45520\n27930 42070\n15320 23081\n40009 60183\n50173 75310\n9202 13837\n56548 84829\n28774 43362\n18268 27523\n47581 71445\n96813 100000\n67117 100000\n51530 77355\n9148 13762\n87107 100000\n5510 8269\n31086 46820\n65706 98562\n77832 100000\n23097 34814\n29262 44088\n1063 1623\n49086 73689\n87583 100000\n56674 85013\n23819 35904\n64570 96845\n5929 8909\n83309 100000\n2929 4429\n3580 5401\n41521 62421\n36017 54172\n16171 24375\n81650 100000\n87955 100000\n53778 80691\n32248 48560\n30740 46303\n53798 80723\n64886 97331\n96245 100000\n41103 61806\n3606 5439\n73561 100000\n45711 68679\n58984 88497\n7248 10884\n76229 100000\n93139 100000\n32841 49439\n90068 100000\n33745 50772\n5892 8851\n58771 88180\n85888 100000\n51691 77606\n7588 11401\n23748 35798\n70120 100000\n69271 100000\n58959 88458\n82502 100000\n88322 100000\n88849 100000\n49364 74106\n8216 12354\n93 141\n38009 57191\n82862 100000\n68430 100000\n84769 100000\n9096 13683\n50349 75586\n43699 65681\n32824 49411\n97289 100000\n95928 100000\n64259 96383\n97163 100000\n6291 9454\n64664 96985\n23197 34964\n73377 100000\n22383 33749\n75096 100000\n43397 65233\n10152 15287\n10111 15223\n26913 40533\n98006 100000\n19502 29397\n58176 87276\n41967 63098\n57998 87009\n23794 35866\n60923 91390\n87937 100000\n88978 100000\n39397 59261\n27212 40978\n49903 74901\n54449 81694\n77446 100000\n14472 21818\n99121 100000\n92591 100000\n64830 97244\n37574 56531\n33345 50181\n87907 100000\n78205 100000\n56658 84993\n31160 46933\n35143 52863\n89986 100000\n65513 98272\n20263 30559\n94020 100000\n81687 100000\n82769 100000\n28805 43411\n1968 2995\n68328 100000\n51223 76897\n83378 100000\n76045 100000\n51065 76659\n61921 92872\n77933 100000\n45088 67738\n43522 65407\n146 220\n23778 35842\n72270 100000\n7809 11736\n55662 83499\n32659 49171\n3043 4597\n40799 61350\n90490 100000\n87469 100000\n76473 100000\n31631 47649\n62137 93198\n60526 90798\n82414 100000\n54161 81276\n70236 100000\n54798 82217\n35532 53444\n30344 45705\n33708 50719\n60731 91104\n30035 45242\n35330 53141\n22599 34075\n97413 100000\n72393 100000\n8168 12285\n63970 95945\n25170 37929\n17186 25917\n69397 100000\n55913 83886\n38319 57652\n53018 79546\n92879 100000\n92963 100000\n8728 13135\n30720 46270\n51659 77554\n19447 29316\n8091 12169\n20037 30217\n53729 80618\n95055 100000\n93858 100000\n61083 91622\n5294 7948\n97444 100000\n94539 100000\n35289 53082\n59863 89818\n58694 88060\n38215 57495\n4454 6698\n36984 55651\n31237 47045\n59726 89611\n90012 100000\n95746 100000\n83176 100000\n10821 16287\n91083 100000\n70606 100000\n17337 26139\n2340 3544\n19188 28906\n1443 2207\n82233 100000\n87733 100000\n28954 43628\n85224 100000\n56154 84229\n38078 57293\n93466 100000\n29656 44665\n82422 100000\n18322 27605\n17212 25955\n89564 100000\n94327 100000\n46263 69491\n26102 39318\n86441 100000\n55181 82779\n15454 23279\n88838 100000\n88220 100000\n63016 94519\n61957 92923\n42397 63725\n44261 66497\n28800 43402\n85927 100000\n16960 25569\n82212 100000\n40223 60497\n1947 2964\n32978 49643\n70683 100000\n69347 100000\n97228 100000\n21569 32511\n42353 63655\n53596 80412\n9418 14172\n51712 77634\n45274 68009\n76288 100000\n93403 100000\n52887 79349\n34395 51736\n37662 56660\n68739 100000\n52930 79412\n93812 100000\n79390 100000\n75012 100000\n24402 36799\n38477 57887\n88748 100000\n87699 100000\n17388 26212\n72211 100000\n13485 20313\n45623 68547\n16135 24318\n79343 100000\n98747 100000\n21779 32835\n25629 38610\n13688 20619\n1078 1647\n47505 71325\n63048 94565\n21349 32172\n36853 55455\n58673 88027\n71639 100000\n6047 9095\n61490 92217\n39957 60105\n14143 21318\n14838 22369\n44632 67047\n75599 100000\n36304 54602\n95419 100000\n89696 100000\n56323 84480\n88426 100000\n89443 100000\n15146 22821\n91183 100000\n92009 100000\n90699 100000\n2643 3999\n83713 100000\n3437 5195\n54529 81809\n92434 100000\n84456 100000\n47486 71295\n78789 100000\n99607 100000\n54392 81610\n71694 100000\n98829 100000\n79687 100000\n93410 100000\n95415 100000\n49863 74846\n81379 100000\n2007 3052\n78071 100000\n14320 21582\n92584 100000\n87500 100000\n67775 100000\n90414 100000\n85890 100000\n9272 13949\n5189 7786\n55629 83453\n67804 100000\n60219 90344\n37460 56366\n90404 100000\n4478 6734\n38523 57948\n44749 67224\n39745 59792\n66639 99990\n61978 92955\n80489 100000\n24431 36843\n27873 41984\n54119 81212\n9494 14288\n83202 100000\n42987 64612\n57713 86580\n46920 70458\n23307 35138\n4434 6664\n69830 100000\n87451 100000\n39696 59713\n15421 23225\n32664 49179\n48245 72450\n45643 68577\n87399 100000\n77508 100000\n3270 4943\n66545 99842\n81171 100000\n91258 100000\n90421 100000\n91732 100000\n50316 75533\n18380 27681\n58315 87483\n63697 95531\n91489 100000\n34084 51275\n37278 56079\n17544 26439\n72626 100000\n15420 23224\n74830 100000\n9290 13979\n51119 76742\n11144 16772\n87413 100000\n28419 42816\n18864 28411\n57318 85972\n24729 37271\n47633 71518\n13921 20978\n3472 5244\n13993 21094\n61318 91967\n2318 3512\n91758 100000\n18825 28356\n16428 24758\n37492 56411\n21496 32395\n37192 55956\n63438 95148\n21720 32744\n58740 88133\n75404 100000\n32097 48331\n34480 51861\n59630 89465\n88077 100000\n53157 79757\n30363 45736\n23383 35257\n2594 3925\n58650 87992\n92431 100000\n70864 100000\n3660 5516\n39 62\n51031 76610\n61890 92826\n91671 100000\n42954 64560\n71350 100000\n29246 44062\n93664 100000\n2248 3405\n49504 74322\n25275 38084\n91278 100000\n21242 32008\n48372 72633\n62722 94076\n23042 34737\n26396 39755\n22684 34202\n45118 67782\n61333 91989\n85185 100000\n2938 4442\n83113 100000\n41 66\n27775 41837\n78304 100000\n58255 87389\n74507 100000\n72067 100000\n13968 21056\n26776 40329\n84753 100000\n54486 81746\n37401 56272\n32470 48900\n54097 81178\n12203 18380\n58854 88300\n93400 100000\n52305 78500\n1406 2156\n52637 78980\n27108 40820\n22521 33952\n40094 60306\n96861 100000\n42428 63771\n53297 79959\n55494 83249\n47900 71926\n65218 97818\n65895 98857\n73374 100000\n30353 45719\n93018 100000\n88148 100000\n91831 100000\n90303 100000\n26260 39554\n62248 93374\n31390 47269\n55871 83820\n21320 32129\n54784 82196\n35295 53091\n71690 100000\n96674 100000\n48606 72970\n38123 57357\n36497 54905\n89901 100000\n51061 76654\n37605 56579\n40417 60785\n2586 3912\n37941 57090\n7815 11745\n85672 100000\n93745 100000\n65708 98564\n89819 100000\n80474 100000\n83988 100000\n50373 75620\n78284 100000\n25885 38992\n19156 28856\n66572 99883\n96712 100000\n5599 8407\n7064 10607\n57367 86053\n70665 100000\n11102 16708\n83147 100000\n31743 47812\n37380 56240\n92214 100000\n96060 100000\n97707 100000\n98612 100000\n68729 100000\n95420 100000\n13385 20157\n51082 76683\n530 812\n9906 14917\n62580 93865\n32796 49374\n9185 13815\n55314 82983\n37234 56016\n1662 2532\n10670 16054\n6703 10071\n99185 100000\n4736 7114\n3798 5719\n38849 58429\n79793 100000\n22879 34493\n60681 91030\n63518 95266\n37850 56947\n67761 100000\n40652 61136\n33741 50765\n29950 45114\n89410 100000\n36448 54829\n70962 100000\n38590 58052\n27190 40946\n16340 24633\n77803 100000\n3109 4697\n56645 84973\n75177 100000\n26677 40173\n47400 71173\n75976 100000\n57203 85791\n9295 13986\n84646 100000\n34869 52448\n40261 60553\n37822 56901\n80383 100000\n10716 16125\n20367 30710\n84318 100000\n43860 65918\n82784 100000\n44522 66878\n53997 81032\n56321 84478\n3906 5872\n31417 47312\n49688 74586\n95821 100000\n51673 77576\n44746 67219\n89044 100000\n32733 49280\n7203 10815\n86914 100000\n83727 100000\n98423 100000\n29354 44224\n5821 8746\n86887 100000\n27269 41065\n20692 31206\n85505 100000\n28690 43236\n50214 75375\n67604 100000\n20109 30326\n73974 100000\n96344 100000\n69173 100000\n88079 100000\n20462 30857\n45232 67950\n46114 69276\n98920 100000\n76566 100000\n95735 100000\n19151 28849\n89268 100000\n67954 100000\n36264 54538\n77139 100000\n27084 40785\n83058 100000\n75089 100000\n87269 100000\n23315 35153\n73207 100000\n2408 3638\n65840 98770\n66082 99142\n48341 72588\n64684 97017\n53795 80718\n90698 100000\n12501 18835\n83510 100000\n62218 93329\n19332 29136\n7482 11245\n32863 49475\n68532 100000\n18067 27222\n8458 12719\n92520 100000\n52945 79437\n25261 38065\n74108 100000\n617 949\n20803 31368\n9064 13639\n6579 9885\n85068 100000\n6714 10086\n43791 65818\n56152 84227\n33518 50432\n88303 100000\n46025 69139\n1845 2809\n17747 26743\n40220 60492\n8744 13158\n89932 100000\n11863 17878\n86597 100000\n87112 100000\n62806 94201\n64541 96800\n74353 100000\n2195 3327\n23835 35930\n45898 68951\n71113 100000\n41513 62409\n47003 70582\n26565 39997\n67342 100000\n98322 100000\n40384 60735\n53514 80289\n12784 19254\n58198 87307\n53742 80638\n72413 100000\n20378 30727\n3117 4708\n91415 100000\n31640 47658\n18153 27350\n67789 100000\n6899 10361\n91346 100000\n23818 35902\n58855 88302\n10910 16417\n94520 100000\n90081 100000\n69461 100000\n69578 100000\n97546 100000\n838 1286\n79202 100000\n6198 9315\n55657 83494\n68199 100000\n27780 41844\n79146 100000\n69019 100000\n84764 100000\n9636 14507\n93452 100000\n91171 100000\n67280 100000\n39897 60017\n15604 23513\n68327 100000\n13807 20798\n49652 74533\n36179 54415\n14727 22206\n74142 100000\n30119 45372\n45020 67636\n88944 100000\n64594 96880\n77667 100000\n77648 100000\n84071 100000\n7866 11825\n71365 100000\n78373 100000\n51991 78042\n71012 100000\n77988 100000\n57048 85558\n41089 61785\n73702 100000\n95793 100000\n52132 78242\n27449 41340\n97466 100000\n96540 100000\n88343 100000\n23982 36154\n32775 49343\n5870 8819\n97895 100000\n63115 94665\n48342 72589\n40626 61097\n82864 100000\n52102 78196\n44419 66732\n73907 100000\n36621 55098\n48325 72566\n28427 42830\n47386 71153\n9249 13913\n38432 57822\n19863 29951\n75923 100000\n72709 100000\n35874 53960\n106 158\n36856 55460\n82081 100000\n47338 71082\n93243 100000\n62330 93496\n17696 26662\n80321 100000\n22278 33590\n95208 100000\n84676 100000\n51124 76750\n868 1335\n61216 91816\n84108 100000\n77700 100000\n71172 100000\n68615 100000\n56623 84937\n6754 10153\n96933 100000\n13212 19897\n58274 87416\n96726 100000\n15411 23211\n82193 100000\n8867 13345\n11726 17673\n45368 68152\n31680 47722\n58773 88184\n23447 35358\n16623 25051\n85326 100000\n27160 40898\n52866 79317\n81685 100000\n93865 100000\n41669 62644\n15213 22920\n99068 100000\n32857 49466\n21335 32151\n9508 14313\n60485 90740\n88156 100000\n57516 86277\n3727 5613\n92593 100000\n25264 38068\n15942 24027\n69312 100000\n82819 100000\n14824 22347\n73545 100000\n7513 11288\n24371 36753\n18903 28470\n53417 80141\n67738 100000\n3545 5353\n45089 67740\n74276 100000\n35506 53405\n26684 40185\n14425 21748\n18227 27459\n34415 51767\n43122 64814\n70149 100000\n27164 40904\n69565 100000\n87800 100000\n20602 31072\n94697 100000\n72873 100000\n77607 100000\n80623 100000\n88205 100000\n24468 36897\n66888 100000\n68515 100000\n60153 90243\n1102 1684\n55531 83304\n54933 82411\n59530 89313\n13587 20470\n85987 100000\n57379 86071\n82948 100000\n6497 9766\n19673 29660\n35543 53459\n4482 6739\n95826 100000\n17772 26782\n62387 93583\n14166 21351\n17820 26850\n77245 100000\n46230 69441\n95440 100000\n75608 100000\n21303 32102\n90008 100000\n69595 100000\n69812 100000\n61577 92344\n44257 66491\n99175 100000\n706 1084\n27905 42031\n28978 43663\n29362 44235\n50478 75780\n47152 70809\n67379 100000\n3298 4981\n45837 68860\n62555 93826\n51729 77659\n38879 58481\n71356 100000\n34801 52341\n55965 83961\n27819 41900\n44816 67325\n9281 13964\n31818 47919\n93416 100000\n79591 100000\n48282 72502\n59926 89914\n39777 59839\n13581 20462\n87700 100000\n27970 42127\n78768 100000\n57139 85694\n90090 100000\n47686 71601\n34620 52069\n89283 100000\n63073 94598\n94366 100000\n65152 97721\n70057 100000\n3922 5893\n98585 100000\n69685 100000\n51008 76575\n43101 64779\n26032 39207\n25567 38523\n96376 100000\n26815 40383\n66243 99390\n79784 100000\n49655 74537\n63137 94697\n24245 36560\n62118 93164\n27974 42132\n34693 52182\n52049 78127\n2074 3150\n72583 100000\n40083 60292\n99076 100000\n55652 83487\n12942 19482\n86794 100000\n37957 57115\n36507 54919\n20697 31214\n59362 89078\n428 658\n5981 8991\n68872 100000\n43448 65304\n37191 55955\n42056 63222\n35640 53613\n56635 84957\n76102 100000\n48457 72758\n49186 73841\n57015 85511\n59230 88868\n65527 98293\n40529 60954\n3743 5638\n44271 66511\n15264 22999\n44910 67473\n95356 100000\n31313 47148\n63355 95022\n93221 100000\n60472 90719\n73662 100000\n85432 100000\n64843 97263\n26088 39294\n35461 53339\n68919 100000\n98720 100000\n34399 51743\n62044 93053\n70750 100000\n67360 100000\n5376 8074\n51315 77033\n15851 23898\n95097 100000\n29564 44526\n70413 100000\n44797 67294\n80079 100000\n83257 100000\n7352 11044\n55808 83719\n14393 21695\n66194 99311\n69509 100000\n94410 100000\n34876 52459\n70827 100000\n31770 47849\n39560 59502\n90643 100000\n22858 34461\n26674 40168\n76488 100000\n78574 100000\n24571 37038\n65702 98554\n89391 100000\n74844 100000\n39905 60030\n90705 100000\n39300 59114\n48527 72857\n64609 96899\n72320 100000\n55273 82918\n56916 85371\n31147 46913\n22620 34111\n55301 82964\n29054 43776\n65215 97815\n17973 27080\n45046 67674\n36671 55175\n33011 49690\n47332 71074\n97367 100000\n35975 54107\n40021 60202\n57475 86217\n48983 73536\n16140 24326\n58370 87566\n57735 86612\n42334 63625\n77072 100000\n43008 64640\n71758 100000\n43783 65805\n55894 83859\n47081 70702\n84333 100000\n63761 95635\n96623 100000\n97499 100000\n20472 30874\n93089 100000\n50069 75149\n1033 1575\n52140 78251\n43978 66091\n35032 52697\n27459 41354\n4546 6839\n46701 70134\n84405 100000\n64520 96767\n10639 16006\n24997 37670\n99804 100000\n12751 19210\n59479 89241\n83459 100000\n41938 63052\n53413 80135\n47046 70643\n28 44\n27557 41502\n87174 100000\n24940 37581\n56331 84493\n38792 58348\n15654 23591\n60684 91034\n70029 100000\n42802 64328\n88073 100000\n2315 3507\n20986 31634\n115 172\n39049 58735\n48867 73369\n41176 61911\n40381 60731\n8033 12079\n30290 45627\n1260 1920\n97586 100000\n62616 93922\n67042 100000\n59177 88785\n25349 38194\n28825 43441\n86919 100000\n56097 84148\n51588 77445\n71746 100000\n69941 100000\n71995 100000\n52882 79342\n17775 26785\n73081 100000\n98450 100000\n31038 46743\n39274 59071\n74560 100000\n95978 100000\n40565 61009\n14668 22112\n86930 100000\n64418 96609\n34542 51955\n45404 68203\n63231 94833\n55142 82722\n12356 18613\n7516 11293\n7763 11667\n50112 75218\n22339 33682\n8472 12739\n25208 37983\n63641 95447\n47562 71415\n45705 68672\n15159 22841\n97099 100000\n6985 10484\n17389 26214\n16195 24414\n33101 49822\n46694 70125\n75227 100000\n22470 33882\n29968 45142\n94485 100000\n57046 85556\n47554 71402\n27448 41339\n66435 99685\n47934 71982\n17026 25667\n59903 89881\n14200 21402\n94981 100000\n19774 29815\n59618 89448\n17674 26627\n41425 62276\n21195 31938\n88871 100000\n96513 100000\n29800 44888\n3813 5740\n565 864\n8855 13327\n48030 72124\n80097 100000\n36805 55381\n54228 81374\n44095 66259\n3843 5781\n31008 46700\n61107 91652\n52407 78647\n39711 59739\n71115 100000\n88743 100000\n16564 24965\n41953 63074\n97541 100000\n80771 100000\n6898 10360\n95003 100000\n87007 100000\n97147 100000\n56209 84306\n12956 19504\n97655 100000\n30541 46004\n3070 4637\n46643 70055\n92083 100000\n31360 47222\n71470 100000\n83506 100000\n90075 100000\n84939 100000\n96827 100000\n37693 56708\n65935 98918\n96273 100000\n20217 30490\n59948 89944\n60084 90144\n43908 65989\n71244 100000\n41144 61867\n71737 100000\n12718 19163\n27910 42037\n69041 100000\n25060 37769\n38530 57959\n61701 92535\n73040 100000\n24526 36983\n91514 100000\n60601 90912\n57088 85620\n70678 100000\n91357 100000\n55684 83534\n91031 100000\n59962 89965\n86415 100000\n45906 68963\n45562 68448\n16441 24776\n73763 100000\n32690 49220\n8868 13347\n15432 23242\n97233 100000\n66255 99410\n11132 16752\n1791 2727\n96759 100000\n68148 100000\n87863 100000\n21417 32270\n49135 73766\n77134 100000\n89488 100000\n34249 51507\n48243 72447\n68503 100000\n81156 100000\n80274 100000\n96181 100000\n92517 100000\n39720 59753\n91833 100000\n50723 76146\n30462 45888\n18375 27675\n32047 48257\n48242 72446\n16527 24909\n59957 89957\n74812 100000\n74798 100000\n17391 26216\n98642 100000\n55063 82603\n73894 100000\n78825 100000\n29161 43935\n42762 64269\n90633 100000\n86177 100000\n34458 51833\n80758 100000\n44899 67459\n3762 5664\n66175 99283\n25347 38191\n44000 66123\n32314 48659\n77592 100000\n11428 17218\n25739 38772\n45346 68123\n67106 100000\n49503 74321\n28592 43080\n56757 85135\n94686 100000\n25745 38780\n39374 59227\n65558 98339\n60811 91228\n38080 57296\n56125 84190\n76814 100000\n76076 100000\n38027 57216\n13723 20672\n84688 100000\n852 1309\n19777 29819\n28928 43590\n86170 100000\n91746 100000\n44869 67409\n36415 54780\n90988 100000\n73942 100000\n11744 17705\n87952 100000\n98329 100000\n22238 33527\n7455 11202\n25881 38987\n52575 78892\n83365 100000\n12543 18894\n26978 40626\n21307 32108\n16163 24361\n46129 69299\n88386 100000\n33120 49849\n32992 49662\n90123 100000\n36324 54633\n5932 8914\n64399 96578\n39032 58709\n33453 50338\n24394 36788\n5464 8204\n44805 67308\n47524 71355\n15186 22880\n70121 100000\n39569 59518\n65049 97568\n52660 79013\n90216 100000\n38663 58164\n56022 84046\n10720 16132\n8563 12880\n52170 78295\n32915 49553\n36564 55006\n42697 64170\n41439 62296\n99829 100000\n66671 100000\n3494 5281\n92339 100000\n29187 43975\n47122 70765\n13211 19895\n88009 100000\n98079 100000\n30427 45832\n97223 100000\n51067 76662\n69526 100000\n98225 100000\n79239 100000\n69559 100000\n87248 100000\n14319 21581\n91224 100000\n67592 100000\n76774 100000\n31057 46773\n34834 52393\n19690 29683\n80057 100000\n37280 56081\n56278 84409\n88331 100000\n75040 100000\n69115 100000\n87914 100000\n9963 15002\n36117 54318\n67980 100000\n47509 71331\n91505 100000\n13192 19867\n16370 24674\n56312 84465\n1541 2349\n84746 100000\n79867 100000\n62370 93558\n49851 74827\n64730 97090\n32333 48688\n76127 100000\n43731 65727\n15091 22740\n45366 68150\n36101 54294\n50085 75176\n39253 59042\n70127 100000\n85248 100000\n85894 100000\n31585 47573\n60226 90356\n8792 13233\n74568 100000\n89692 100000\n84306 100000\n48739 73180\n8909 13405\n87752 100000\n51501 77315\n86386 100000\n194 298\n5199 7800\n99481 100000\n72364 100000\n9985 15033\n12190 18361\n89034 100000\n67807 100000\n834 1281\n23900 36029\n34807 52351\n83271 100000\n73807 100000\n71696 100000\n17837 26879\n31066 46788\n57408 86119\n38029 57220\n57042 85551\n66796 100000\n55089 82644\n44633 67049\n41734 62738\n54357 81558\n57751 86635\n95248 100000\n38776 58327\n36530 54956\n5007 7518\n2416 3649\n34594 52031\n21373 32209\n15674 23623\n25260 38063\n42225 63478\n9168 13789\n78585 100000\n20707 31228\n72874 100000\n61052 91575\n56885 85322\n20146 30384\n47573 71432\n14426 21750\n18080 27242\n80757 100000\n41629 62581\n54897 82356\n60560 90846\n10163 15301\n27921 42056\n20000 30164\n99891 100000\n14904 22465\n51298 77007\n81091 100000\n34410 51759\n42287 63561\n45015 67630\n56870 85302\n51197 76864\n5071 7618\n56291 84430\n19691 29685\n49604 74464\n13499 20334\n51399 77158\n48401 72674\n79718 100000\n16951 25557\n70220 100000\n43755 65764\n31449 47357\n45288 68032\n19376 29205\n34239 51496\n82675 100000\n10022 15090\n68222 100000\n92320 100000\n17572 26478\n2332 3530\n39947 60090\n53326 79997\n55654 83490\n5921 8898\n74570 100000\n94258 100000\n66092 99155\n89865 100000\n53025 79555\n67362 100000\n38726 58253\n72012 100000\n55671 83514\n53293 79952\n71651 100000\n8771 13199\n62084 93113\n41552 62466\n29055 43778\n49968 74996\n79862 100000\n80670 100000\n77379 100000\n1029 1570\n87232 100000\n13939 21011\n63022 94525\n42308 63589\n98363 100000\n14758 22249\n93362 100000\n82559 100000\n25706 38723\n92322 100000\n95652 100000\n48969 73514\n48847 73337\n39780 59845\n93442 100000\n63538 95292\n4999 7505\n3012 4551\n4954 7441\n49325 74051\n94887 100000\n18916 28489\n30573 46052\n71176 100000\n81588 100000\n75727 100000\n92176 100000\n60371 90569\n176 268\n72325 100000\n10384 15631\n42316 63602\n43293 65074\n43619 65557\n70820 100000\n74873 100000\n67787 100000\n44042 66181\n72767 100000\n39218 58991\n49079 73679\n77515 100000\n16284 24548\n19361 29180\n4247 6377\n4124 6189\n68555 100000\n99720 100000\n23108 34831\n50778 76229\n73533 100000\n98801 100000\n90393 100000\n8456 12715\n5111 7676\n16890 25463\n82652 100000\n52911 79384\n54607 81931\n60806 91220\n89609 100000\n60675 91022\n64247 96367\n18802 28322\n92768 100000\n36592 55048\n63235 94839\n16228 24464\n17433 26280\n75007 100000\n64753 97128\n46130 69300\n88450 100000\n46886 70411\n53529 80313\n5685 8535\n62220 93332\n65582 98377\n986 1506\n81160 100000\n58719 88100\n69840 100000\n22826 34412\n77097 100000\n35395 53240\n65557 98338\n8092 12171\n3229 4881\n18614 28045\n51832 77813\n6826 10254\n39155 58899\n69855 100000\n7395 11113\n62147 93213\n54600 81919\n52237 78393\n37846 56940\n40548 60983\n44607 67011\n87134 100000\n3340 5050\n3375 5099\n20438 30820\n84611 100000\n29798 44886\n9224 13871\n68276 100000\n4659 6997\n98356 100000\n16606 25029\n16205 24429\n55280 82928\n81499 100000\n50480 75783\n69433 100000\n61504 92236\n25983 39134\n93038 100000\n80238 100000\n85344 100000\n59382 89109\n28711 43267\n89789 100000\n34409 51758\n60582 90883\n61899 92840\n71901 100000\n81751 100000\n13698 20635\n56435 84652\n35842 53912\n74476 100000\n1942 2955\n36759 55315\n63186 94771\n82865 100000\n92532 100000\n31482 47410\n54319 81505\n29039 43755\n46266 69495\n86762 100000\n18428 27755\n7724 11610\n33574 50511\n8936 13447\n54108 81195\n92774 100000\n84953 100000\n46273 69505\n64809 97209\n89811 100000\n24194 36477\n36311 54614\n79256 100000\n73034 100000\n34951 52575\n95692 100000\n45806 68817\n79603 100000\n15966 24061\n84897 100000\n96809 100000\n96729 100000\n12721 19167\n34512 51912\n56038 84071\n47594 71463\n41422 62270\n76612 100000\n68967 100000\n78923 100000\n89597 100000\n32067 48284\n98949 100000\n74327 100000\n9841 14811\n34966 52598\n14731 22210\n61438 92140\n2403 3632\n55287 82942\n17060 25720\n89729 100000\n20323 30639\n3803 5726\n52278 78456\n67213 100000\n79680 100000\n10858 16342\n93526 100000\n96159 100000\n37702 56724\n11972 18040\n44942 67520\n97849 100000\n2476 3743\n48464 72767\n17673 26625\n50690 76090\n79358 100000\n41333 62145\n12288 18508\n55641 83470\n74349 100000\n74679 100000\n83851 100000\n52461 78725\n49371 74117\n44864 67401\n41303 62101\n91898 100000\n39851 59942\n642 984\n23376 35245\n45320 68083\n76074 100000\n34609 52052\n43355 65169\n75856 100000\n29294 44135\n49374 74123\n73776 100000\n97730 100000\n91712 100000\n18130 27316\n91675 100000\n69510 100000\n75549 100000\n54804 82226\n13278 19996\n6011 9036\n89467 100000\n50161 75294\n68069 100000\n43042 64689\n35912 54013\n77114 100000\n7464 11214\n46725 70165\n7543 11336\n50240 75418\n84091 100000\n1741 2650\n75314 100000\n84914 100000\n327 500\n9760 14693\n89542 100000\n91642 100000\n34641 52097\n36829 55418\n70833 100000\n2659 4022\n49213 73888\n68827 100000\n89493 100000\n41840 62900\n16866 25425\n91001 100000\n97151 100000\n61643 92447\n46836 70336\n81105 100000\n28946 43617\n7428 11164\n27907 42033\n5507 8265\n77469 100000\n40986 61631\n64062 96093\n29654 44661\n119 179\n17558 26458\n95757 100000\n84213 100000\n30965 46642\n886 1359\n18488 27854\n66262 99421\n38902 58516\n33313 50133\n39449 59336\n8384 12607\n31855 47977\n37179 55938\n18727 28210\n41895 62988\n44404 66709\n89402 100000\n7060 10599\n49628 74498\n80974 100000\n42409 63743\n75577 100000\n65338 98002\n9966 15006\n13760 20732\n20496 30913\n71212 100000\n20767 31313\n63033 94542\n82429 100000\n12192 18364\n5480 8224\n36478 54877\n34704 52196\n27361 41208\n34756 52275\n6143 9235\n25905 39022\n25585 38549\n22384 33751\n9395 14135\n85770 100000\n67491 100000\n46778 70245\n24628 37119\n48899 73416\n31646 47669\n8870 13349\n6928 10405\n17768 26776\n4466 6716\n90791 100000\n20543 30985\n72207 100000\n60679 91028\n2746 4156\n31798 47890\n93530 100000\n24383 36771\n27814 41893\n98230 100000\n90753 100000\n29043 43760\n39385 59242\n30071 45299\n14964 22555\n95768 100000\n20208 30474\n58024 87046\n46793 70271\n74251 100000\n46214 69421\n59040 88579\n323 495\n23722 35764\n83622 100000\n28186 42456\n38430 57819\n57482 86227\n47782 71749\n35078 52764\n17604 26528\n39138 58874\n55325 83001\n99312 100000\n63076 94604\n54020 81068\n65488 98231\n99024 100000\n10263 15450\n71576 100000\n27621 41603\n83870 100000\n7628 11466\n56217 84321\n34203 51441\n54488 81750\n22333 33674\n11308 17027\n48440 72730\n83947 100000\n99196 100000\n71834 100000\n61261 91889\n68682 100000\n17355 26162\n32390 48775\n37939 57086\n39318 59139\n2113 3205\n59718 89601\n30744 46311\n81368 100000\n92220 100000\n96658 100000\n41740 62746\n52330 78534\n66681 100000\n76240 100000\n72057 100000\n2864 4324\n57004 85497\n75620 100000\n11614 17501\n37163 55918\n89135 100000\n71162 100000\n48306 72537\n62833 94237\n98355 100000\n35516 53420\n82452 100000\n40564 61007\n28593 43082\n83887 100000\n62623 93932\n92439 100000\n28798 43399\n32778 49348\n31516 47464\n21294 32090\n89095 100000\n57759 86645\n81036 100000\n86145 100000\n79714 100000\n10242 15418\n99886 100000\n69399 100000\n88502 100000\n67887 100000\n25930 39058\n40380 60729\n99745 100000\n54969 82463\n77423 100000\n92967 100000\n39878 59988\n54958 82446\n29992 45178\n95618 100000\n89159 100000\n87521 100000\n60764 91156\n51664 77561\n69648 100000\n62241 93364\n65492 98237\n41578 62503\n39446 59331\n94836 100000\n9420 14174\n37473 56382\n12664 19081\n40638 61113\n93169 100000\n59717 89600\n83616 100000\n76928 100000\n26636 40105\n38084 57302\n17230 25982\n50054 75126\n64031 96044\n39978 60138\n66458 99715\n2672 4043\n20934 31561\n85300 100000\n8473 12740\n28040 42231\n19393 29231\n77901 100000\n88890 100000\n10861 16346\n14216 21427\n63135 94693\n10264 15452\n2265 3431\n79880 100000\n48308 72540\n85170 100000\n77609 100000\n38387 57755\n3453 5217\n14806 22319\n50436 75720\n6505 9780\n87754 100000\n53812 80744\n26796 40356\n20820 31394\n47352 71104\n98452 100000\n73065 100000\n11950 18008\n88076 100000\n94855 100000\n94813 100000\n24458 36879\n47926 71969\n47601 71472\n76283 100000\n15280 23025\n57130 85681\n69450 100000\n21664 32658\n93315 100000\n64693 97031\n28716 43274\n79676 100000\n22143 33387\n64667 96989\n93836 100000\n99868 100000\n12989 19556\n56739 85112\n39301 59115\n71059 100000\n62912 94356\n58527 87808\n55410 83120\n39203 58969\n28547 43012\n89108 100000\n48854 73350\n88810 100000\n92468 100000\n54803 82224\n62449 93676\n57679 86529\n15399 23196\n35517 53421\n34957 52584\n88624 100000\n39356 59200\n99511 100000\n83388 100000\n74714 100000\n82005 100000\n43719 65710\n59737 89630\n97887 100000\n95424 100000\n12035 18134\n70899 100000\n95805 100000\n82454 100000\n8419 12662\n45181 67875\n44324 66588\n26157 39398\n39240 59021\n22547 33990\n16573 24977\n33582 50524\n5016 7530\n26419 39788\n37682 56691\n5323 7991\n12398 18675\n56423 84634\n34903 52501\n63666 95484\n98070 100000\n72556 100000\n78618 100000\n99205 100000\n24451 36871\n29109 43858\n37258 56052\n30665 46188\n85074 100000\n80522 100000\n64334 96488\n60523 90794\n23743 35792\n49000 73559\n31367 47232\n90248 100000\n1334 2035\n86883 100000\n11112 16722\n94478 100000\n9147 13760\n53921 80912\n84840 100000\n22975 34637\n70326 100000\n94648 100000\n77922 100000\n57694 86554\n23619 35605\n34838 52399\n6573 9875\n87981 100000\n52724 79101\n87806 100000\n22355 33705\n93046 100000\n16116 24288\n14865 22411\n16188 24403\n10475 15764\n36032 54193\n18554 27956\n45990 69087\n9271 13947\n33888 50982\n27375 41230\n66964 100000\n46750 70204\n49393 74154\n825 1268\n83637 100000\n17197 25934\n9573 14419\n21901 33014\n38549 57988\n32904 49536\n2989 4516\n8772 13200\n17721 26702\n45900 68954\n42033 63190\n67885 100000\n39401 59266\n54811 82236\n67134 100000\n62475 93714\n45290 68035\n17815 26844\n90542 100000\n32227 48529\n20890 31497\n49231 73914\n90469 100000\n98901 100000\n40857 61436\n99204 100000\n60048 90092\n3078 4650\n22908 34538\n78549 100000\n46626 70031\n43923 66012\n84692 100000\n19648 29619\n74987 100000\n74347 100000\n98377 100000\n70329 100000\n31542 47506\n62568 93846\n89496 100000\n34968 52601\n22472 33884\n64917 97374\n42027 63183\n34981 52620\n28542 43003\n64266 96393\n50260 75447\n25098 37824\n49707 74614\n10410 15668\n4290 6447\n34000 51152\n32677 49200\n27703 41725\n97532 100000\n45631 68557\n16025 24149\n65280 97910\n81820 100000\n614 943\n77545 100000\n97282 100000\n48103 72237\n41501 62391\n21967 33116\n67483 100000\n1562 2380\n21267 32047\n8012 12045\n65064 97589\n45876 68918\n46055 69185\n56536 84811\n7205 10818\n86693 100000\n45987 69083\n44665 67097\n10064 15154\n42949 64553\n26964 40605\n59752 89651\n16694 25160\n6099 9172\n22939 34582\n92210 100000\n1598 2436\n43312 65104\n95162 100000\n56605 84912\n34521 51926\n83105 100000\n13527 20379\n37459 56364\n21733 32763\n38277 57593\n43003 64633\n62066 93086\n11138 16762\n36789 55358\n45657 68596\n44079 66236\n16048 24187\n48230 72427\n77284 100000\n91707 100000\n92630 100000\n49247 73937\n18849 28388\n10682 16073\n56842 85261\n56871 85303\n26760 40304\n18132 27320\n29147 43912\n92275 100000\n33986 51127\n4601 6915\n3696 5567\n1246 1898\n49122 73747\n12955 19502\n85091 100000\n32572 49045\n93298 100000\n21738 32772\n75738 100000\n698 1072\n8541 12847\n66246 99396\n43380 65206\n50563 75905\n85167 100000\n29424 44318\n25268 38075\n74199 100000\n51711 77632\n31524 47476\n51441 77222\n42511 63893\n81815 100000\n30898 46544\n49962 74987\n45122 67787\n38834 58408\n68850 100000\n89207 100000\n86135 100000\n22024 33199\n89859 100000\n77415 100000\n6215 9340\n60765 91158\n14487 21840\n21897 33008\n60568 90860\n53336 80014\n60140 90225\n27304 41119\n1785 2717\n34182 51409\n26592 40036\n8492 12771\n16462 24807\n26136 39369\n34947 52569\n16872 25436\n88566 100000\n29629 44622\n45577 68470\n51687 77598\n35938 54049\n90957 100000\n19786 29833\n47916 71955\n85690 100000\n70746 100000\n82924 100000\n22608 34090\n19910 30026\n78073 100000\n60749 91133\n70576 100000\n26329 39656\n79368 100000\n34676 52157\n6907 10374\n96008 100000\n65646 98468\n39407 59275\n88549 100000\n89216 100000\n53758 80663\n69613 100000\n89154 100000\n24473 36905\n69719 100000\n64508 96745\n56078 84121\n88481 100000\n67563 100000\n70813 100000\n12067 18181\n25600 38571\n65015 97517\n22466 33874\n425 654\n58999 88522\n649 995\n17613 26541\n839 1288\n9396 14137\n23864 35975\n30509 45956\n32444 48855\n47473 71276\n79637 100000\n59610 89437\n22118 33347\n32903 49535\n30041 45252\n57437 86160\n32311 48656\n91365 100000\n35992 54132\n80843 100000\n90052 100000\n35282 53073\n45139 67811\n26877 40478\n6252 9398\n49313 74034\n38224 57509\n49717 74628\n29936 45092\n83979 100000\n70335 100000\n59595 89415\n69187 100000\n33275 50080\n98426 100000\n68257 100000\n29188 43977\n61068 91600\n80791 100000\n33398 50258\n222 341\n2741 4147\n86366 100000\n45367 68151\n12081 18201\n92494 100000\n81594 100000\n63150 94717\n77669 100000\n72888 100000\n67745 100000\n8267 12429\n87784 100000\n42262 63528\n97517 100000\n13973 21062\n94882 100000\n42923 64507\n57096 85629\n37090 55805\n24676 37192\n17145 25853\n92345 100000\n70633 100000\n58948 88443\n69344 100000\n41762 62777\n78829 100000\n40790 61337\n79647 100000\n36612 55083\n13008 19586\n28573 43055\n11001 16550\n59587 89401\n42485 63853\n22482 33898\n97211 100000\n7565 11371\n75458 100000\n48385 72652\n46544 69907\n58321 87490\n86970 100000\n57171 85743\n84208 100000\n37997 57171\n36723 55256\n5888 8846\n44737 67206\n16132 24313\n86274 100000\n36548 54982\n47009 70591\n68899 100000\n88282 100000\n33104 49826\n74195 100000\n19702 29702\n37037 55732\n87570 100000\n17183 25912\n87576 100000\n69903 100000\n54913 82379\n1498 2292\n30754 46324\n87252 100000\n81197 100000\n22285 33600\n80371 100000\n48313 72549\n7379 11086\n38354 57704\n78885 100000\n49587 74437\n61736 92590\n40817 61377\n7650 11497\n20289 30593\n4728 7100\n80816 100000\n36489 54894\n74446 100000\n69560 100000\n20796 31357\n37430 56320\n33590 50538\n15408 23208\n43062 64717\n16996 25621\n33669 50653\n26802 40364\n57077 85602\n29405 44294\n53439 80171\n88586 100000\n59840 89783\n15149 22825\n92679 100000\n13962 21049\n66503 99784\n34208 51450\n95509 100000\n30263 45584\n97100 100000\n78054 100000\n33095 49815\n89781 100000\n83631 100000\n8877 13358\n72435 100000\n63204 94796\n98174 100000\n32954 49607\n35332 53143\n88246 100000\n92212 100000\n64396 96574\n86272 100000\n7774 11685\n93997 100000\n60928 91398\n27252 41036\n21708 32729\n8524 12821\n60438 90670\n52556 78862\n96754 100000\n37588 56551\n28698 43247\n82679 100000\n74613 100000\n78972 100000\n16480 24836\n96204 100000\n99056 100000\n69276 100000\n53348 80034\n60699 91056\n20917 31538\n42871 64433\n91281 100000\n9601 14458\n26454 39838\n52346 78557\n9046 13614\n8724 13130\n52693 79058\n11092 16692\n34341 51657\n14987 22587\n36039 54203\n41412 62255\n13067 19677\n26703 40214\n52681 79042\n44832 67348\n20892 31500\n39239 59020\n37413 56291\n63307 94949\n58376 87576\n5099 7659\n26306 39619\n53549 80344\n93151 100000\n24689 37210\n66370 99585\n39992 60159\n69656 100000\n83961 100000\n86480 100000\n28213 42502\n20162 30408\n88678 100000\n75402 100000\n23927 36067\n19158 28859\n50670 76060\n7527 11310\n34469 51846\n9467 14244\n80970 100000\n14709 22179\n73895 100000\n53892 80868\n2625 3971\n30486 45924\n93874 100000\n47360 71115\n86448 100000\n87001 100000\n47810 71795\n2513 3802\n75181 100000\n54973 82470\n31282 47106\n15083 22726\n20595 31061\n81349 100000\n39854 59947\n84449 100000\n3212 4853\n83379 100000\n43705 65690\n85911 100000\n3499 5287\n43622 65562\n99328 100000\n59596 89416\n7918 11903\n51188 76854\n74593 100000\n48363 72620\n62445 93670\n32922 49564\n18578 27991\n13455 20266\n44962 67548\n11632 17528\n40429 60804\n89464 100000\n43575 65491\n8504 12790\n29865 44984\n59029 88561\n66270 99433\n53863 80823\n74399 100000\n9253 13920\n11456 17257\n19664 29644\n8121 12212\n4464 6712\n69734 100000\n50212 75371\n78558 100000\n4040 6068\n76143 100000\n78375 100000\n20671 31176\n33052 49751\n82757 100000\n95387 100000\n91855 100000\n7891 11859\n28871 43507\n4926 7403\n24699 37226\n6479 9740\n6317 9494\n75747 100000\n74959 100000\n37852 56951\n33998 51148\n51608 77478\n68194 100000\n22137 33378\n50652 76034\n60121 90198\n91902 100000\n89746 100000\n76167 100000\n70026 100000\n44818 67327\n64528 96781\n90133 100000\n87191 100000\n98341 100000\n98869 100000\n68929 100000\n74738 100000\n84084 100000\n31186 46971\n31222 47022\n14424 21746\n30477 45909\n76625 100000\n86613 100000\n19313 29106\n42920 64503\n2206 3342\n80464 100000\n56236 84347\n19204 28933\n82029 100000\n57553 86336\n1468 2246\n41405 62245\n44618 67026\n28342 42704\n39112 58830\n9235 13890\n55402 83106\n39765 59821\n82973 100000\n72903 100000\n62405 93609\n69448 100000\n60648 90981\n55992 83999\n73448 100000\n70299 100000\n79420 100000\n44725 67188\n20087 30293\n28722 43283\n25154 37905\n56332 84495\n32140 48392\n69980 100000\n34891 52484\n41319 62123\n72745 100000\n44165 66353\n54153 81261\n70025 100000\n38775 58326\n65405 98107\n7230 10856\n18069 27225\n19540 29450\n2550 3862\n6812 10235\n38994 58654\n22422 33807\n59011 88538\n44035 66170\n33404 50267\n49242 73929\n84940 100000\n4865 7309\n23886 36005\n55567 83359\n93504 100000\n32055 48267\n83955 100000\n83277 100000\n84145 100000\n40898 61497\n13683 20613\n96719 100000\n34974 52610\n50389 75645\n65099 97642\n79779 100000\n74759 100000\n56273 84401\n77439 100000\n90147 100000\n79121 100000\n79080 100000\n29401 44289\n70421 100000\n96645 100000\n57742 86621\n12568 18931\n28109 42338\n719 1106\n19125 28807\n38815 58380\n86427 100000\n98148 100000\n97097 100000\n35274 53063\n96559 100000\n2167 3283\n54148 81253\n4631 6957\n82750 100000\n73753 100000\n48668 73065\n312 479\n90204 100000\n34328 51637\n795 1225\n88980 100000\n53159 79760\n40285 60591\n90313 100000\n22335 33676\n47826 71820\n67338 100000\n32869 49486\n74356 100000\n73910 100000\n16580 24988\n99645 100000\n39559 59500\n67520 100000\n64883 97326\n57450 86181\n49753 74684\n99079 100000\n69279 100000\n67920 100000\n33971 51106\n34914 52519\n82488 100000\n89126 100000\n22617 34105\n66729 100000\n74870 100000\n49919 74922\n29805 44893\n93305 100000\n30774 46358\n23510 35455\n2084 3164\n63929 95882\n23892 36015\n96383 100000\n27238 41015\n89772 100000\n35285 53077\n55924 83904\n74121 100000\n18628 28066\n13026 19613\n63523 95274\n43546 65447\n42450 63798\n23928 36069\n15042 22665\n65813 98727\n86554 100000\n10228 15394\n6853 10293\n96609 100000\n23995 36173\n79913 100000\n81926 100000\n16367 24669\n95285 100000\n76427 100000\n69101 100000\n54452 81698\n98159 100000\n75604 100000\n15223 22936\n5493 8244\n50915 76436\n60125 90203\n11047 16622\n71881 100000\n60316 90489\n66600 99929\n82836 100000\n70448 100000\n38471 57879\n46458 69781\n12445 18749\n30270 45594\n54891 82348\n72180 100000\n27022 40691\n16147 24337\n1115 1706\n57572 86369\n66066 99116\n17516 26398\n76921 100000\n36291 54580\n5943 8932\n43862 65921\n93261 100000\n99985 100000\n72470 100000\n80091 100000\n36339 54660\n36087 54276\n76980 100000\n57436 86159\n40887 61482\n35448 53316\n240 369\n90651 100000\n89742 100000\n64635 96941\n45354 68133\n92964 100000\n89666 100000\n13247 19953\n99329 100000\n46418 69723\n63234 94838\n45687 68645\n710 1092\n51972 78013\n51130 76760\n62037 93041\n49747 74674\n91971 100000\n40232 60512\n24615 37101\n49372 74119\n45877 68919\n92563 100000\n58562 87859\n38222 57506\n26202 39466\n62509 93760\n29734 44786\n38033 57224\n56630 84947\n45753 68741\n77949 100000\n80237 100000\n86345 100000\n53386 80092\n14962 22553\n35678 53666\n96421 100000\n2226 3374\n67876 100000\n92098 100000\n7435 11172\n39079 58782\n97623 100000\n98657 100000\n80073 100000\n45011 67624\n20536 30973\n71280 100000\n47706 71629\n90410 100000\n85238 100000\n32391 48777\n37796 56867\n60474 90722\n22976 34639\n99170 100000\n85457 100000\n32881 49504\n53203 79823\n93223 100000\n98669 100000\n12622 19017\n35492 53385\n85218 100000\n86050 100000\n82876 100000\n16832 25372\n87173 100000\n79768 100000\n37438 56331\n62778 94158\n51746 77688\n5024 7544\n91779 100000\n69231 100000\n17481 26347\n19749 29776\n89810 100000\n68238 100000\n64749 97120\n1703 2594\n3852 5793\n78757 100000\n49820 74781\n49184 73839\n45228 67944\n50746 76179\n87634 100000\n24872 37479\n67070 100000\n25860 38957\n22000 33160\n82724 100000\n51499 77311\n18794 28310\n19819 29880\n47223 70904\n83547 100000\n43159 64865\n2520 3814\n62642 93957\n9668 14558\n18819 28347\n93253 100000\n30698 46239\n45070 67709\n78911 100000\n24147 36406\n83845 100000\n81311 100000\n47319 71052\n55874 83825\n29966 45138\n75852 100000\n50418 75694\n71393 100000\n26853 40441\n82969 100000\n99668 100000\n86601 100000\n92851 100000\n56525 84793\n70603 100000\n33702 50709\n61722 92568\n23278 35089\n611 938\n33090 49807\n86245 100000\n21428 32288\n87689 100000\n38931 58559\n98620 100000\n75839 100000\n54581 81888\n29002 43695\n35621 53583\n26838 40417\n84571 100000\n83554 100000\n95308 100000\n4949 7431\n23770 35830\n4212 6325\n30986 46668\n7468 11221\n31219 47018\n46704 70137\n95099 100000\n57460 86196\n43887 65957\n78640 100000\n63478 95206\n5759 8656\n9289 13977\n9000 13547\n21761 32808\n29034 43746\n13592 20477\n94526 100000\n72542 100000\n63878 95808\n90583 100000\n39196 58960\n76342 100000\n4797 7209\n1354 2069\n71550 100000\n98036 100000\n28378 42750\n34368 51695\n83990 100000\n27732 41765\n48273 72491\n51663 77560\n96832 100000\n54332 81524\n74708 100000\n18387 27693\n27456 41348\n8991 13534\n3079 4652\n58075 87126\n26311 39627\n62817 94215\n35214 52977\n91656 100000\n91057 100000\n24082 36307\n18523 27907\n77445 100000\n1915 2912\n17656 26600\n34618 52067\n87324 100000\n63452 95168\n2431 3670\n47759 71714\n97755 100000\n18458 27806\n58236 87363\n4240 6366\n21261 32038\n96281 100000\n23836 35932\n3856 5799\n70173 100000\n91447 100000\n28821 43433\n33105 49827\n94451 100000\n33185 49943\n54776 82184\n68378 100000\n8904 13398\n61241 91857\n95327 100000\n64027 96037\n59682 89542\n30797 46392\n66471 99732\n18497 27867\n58620 87945\n98819 100000\n97034 100000\n30717 46266\n65738 98614\n12174 18336\n14673 22119\n2153 3263\n35231 53001\n48476 72784\n45934 69004\n22892 34513\n86881 100000\n24700 37228\n47642 71532\n29331 44192\n23310 35143\n33075 49784\n15519 23384\n4936 7415\n18053 27199\n96135 100000\n88668 100000\n41566 62487\n9521 14332\n42349 63648\n20863 31459\n2485 3757\n631 968\n5449 8183\n8018 12057\n50181 75324\n25202 37973\n63367 95043\n53182 79795\n47609 71482\n74136 100000\n58783 88197\n90750 100000\n30838 46451\n46820 70314\n99896 100000\n1635 2489\n91733 100000\n92090 100000\n18376 27676\n73592 100000\n45490 68331\n8106 12190\n43129 64823\n81954 100000\n80837 100000\n23632 35627\n210 321\n97399 100000\n97391 100000\n62667 93992\n30814 46419\n51062 76655\n586 899\n55392 83090\n14175 21363\n69221 100000\n56344 84514\n59342 89046\n20864 31461\n9574 14420\n96198 100000\n86996 100000\n38972 58620\n94268 100000\n6720 10097\n46503 69848\n21291 32085\n61100 91645\n48142 72297\n25514 38448\n42184 63414\n8700 13092\n17738 26729\n77764 100000\n8400 12633\n7193 10801\n68640 100000\n87236 100000\n66647 100000\n15896 23963\n91341 100000\n93579 100000\n23575 35546\n63802 95700\n45830 68850\n79460 100000\n81742 100000\n7960 11964\n57380 86073\n3633 5476\n21935 33065\n24907 37532\n16422 24751\n8234 12381\n64766 97149\n93095 100000\n56317 84472\n25774 38827\n86328 100000\n15564 23451\n59740 89633\n36461 54850\n66020 99043\n55164 82750\n90507 100000\n10489 15783\n81729 100000\n20937 31564\n26064 39255\n82092 100000\n23155 34897\n56338 84505\n16680 25137\n59899 89876\n2994 4524\n87633 100000\n72472 100000\n70124 100000\n77324 100000\n48069 72182\n53918 80908\n30519 45971\n11335 17070\n28991 43682\n51756 77702\n8111 12198\n95295 100000\n59120 88701\n49083 73685\n50937 76470\n59283 88948\n56239 84350\n4593 6902\n93792 100000\n89520 100000\n10109 15220\n79172 100000\n91499 100000\n11665 17576\n41067 61754\n36270 54547\n56255 84373\n93917 100000\n91387 100000\n20225 30501\n59306 88985\n85176 100000\n73504 100000\n44956 67541\n67071 100000\n37210 55981\n30109 45356\n55408 83116\n18270 27525\n67981 100000\n93815 100000\n13850 20865\n21771 32823\n63987 95973\n83454 100000\n84804 100000\n41607 62548\n48996 73554\n51451 77235\n24709 37241\n93607 100000\n46842 70344\n16431 24763\n11739 17695\n1497 2291\n69958 100000\n98493 100000\n5205 7808\n60454 90692\n10535 15851\n18288 27551\n99226 100000\n54519 81795\n6771 10176\n42576 63996\n78508 100000\n33225 50003\n53868 80832\n92928 100000\n71919 100000\n13787 20770\n70268 100000\n29131 43887\n19743 29766\n95865 100000\n64916 97373\n16403 24725\n35482 53369\n25236 38025\n32072 48292\n91646 100000\n69455 100000\n83964 100000\n39041 58722\n8912 13410\n4819 7242\n97418 100000\n59735 89627\n22069 33269\n7651 11498\n6625 9953\n65987 98999\n35733 53749\n8454 12713\n1150 1758\n30713 46261\n74683 100000\n16766 25269\n92307 100000\n77892 100000\n82701 100000\n98775 100000\n17386 26208\n83533 100000\n53855 80809\n72045 100000\n40008 60182\n58458 87707\n11459 17263\n20495 30911\n25105 37832\n32491 48927\n5602 8410\n91921 100000\n18195 27412\n51449 77232\n76291 100000\n74099 100000\n76268 100000\n29410 44302\n13165 19826\n39656 59653\n96473 100000\n51528 77351\n63131 94687\n87781 100000\n28145 42394\n75309 100000\n2918 4411\n26211 39479\n83672 100000\n9501 14301\n58420 87649\n82682 100000\n87885 100000\n55195 82799\n84572 100000\n32886 49510\n57399 86104\n32759 49318\n91982 100000\n3186 4817\n2510 3797\n38522 57946\n29675 44691\n39076 58779\n96615 100000\n81999 100000\n34405 51752\n77402 100000\n73722 100000\n56482 84723\n10689 16083\n58442 87682\n34973 52609\n50063 75140\n62866 94286\n12768 19232\n62502 93750\n17593 26511\n50651 76032\n9584 14432\n2346 3555\n40750 61279\n58736 88126\n85121 100000\n43245 64999\n78689 100000\n80631 100000\n61687 92515\n10620 15976\n27328 41156\n58231 87356\n88773 100000\n81003 100000\n35868 53949\n18994 28607\n72619 100000\n70398 100000\n65870 98816\n51812 77781\n27527 41459\n19498 29390\n30213 45510\n11520 17357\n43246 65001\n42340 63633\n82410 100000\n12123 18258\n57086 85617\n51083 76685\n21161 31893\n57390 86089\n42351 63652\n18688 28156\n55480 83228\n61829 92731\n8375 12593\n79931 100000\n94543 100000\n8642 13009\n3781 5693\n71309 100000\n86542 100000\n64412 96601\n9682 14582\n91958 100000\n1578 2405\n17235 25989\n60622 90943\n63432 95139\n98954 100000\n73996 100000\n65163 97737\n52543 78843\n27594 41559\n4342 6524\n22406 33785\n49198 73863\n48316 72552\n349 536\n10387 15637\n17943 27037\n20003 30168\n24328 36689\n6225 9357\n60469 90715\n78855 100000\n38935 58566\n50813 76284\n43587 65508\n67259 100000\n46460 69785\n16440 24774\n90132 100000\n18677 28138\n44381 66674\n96298 100000\n88117 100000\n3576 5395\n39731 59771\n3681 5547\n77599 100000\n3300 4984\n46712 70145\n59473 89232\n71850 100000\n2028 3085\n38083 57300\n47736 71676\n26336 39666\n47171 70831\n47821 71812\n27889 42008\n78309 100000\n42766 64274\n51988 78037\n38875 58473\n42614 64053\n47070 70682\n31187 46973\n76034 100000\n77766 100000\n42223 63475\n69079 100000\n8407 12645\n41592 62524\n46710 70143\n5337 8014\n2686 4064\n27161 40899\n61648 92455\n3170 4795\n98271 100000\n83923 100000\n75278 100000\n73494 100000\n30983 46665\n18928 28506\n42269 63536\n46903 70434\n6965 10456\n94113 100000\n57649 86484\n90787 100000\n60624 90947\n48769 73225\n44015 66143\n85760 100000\n47311 71038\n8204 12338\n42471 63830\n45098 67753\n50154 75284\n66188 99303\n18736 28221\n366 564\n91651 100000\n5332 8007\n15272 23013\n33949 51072\n76552 100000\n70169 100000\n11998 18078\n29027 43733\n78910 100000\n85884 100000\n88802 100000\n12674 19094\n11965 18028\n94898 100000\n17196 25932\n46110 69271\n93408 100000\n23177 34933\n923 1412\n82603 100000\n40184 60437\n4997 7502\n20989 31639\n25768 38818\n19645 29614\n32382 48762\n32089 48318\n16304 24578\n94194 100000\n18599 28021\n17369 26182\n14356 21635\n10313 15526\n92595 100000\n34598 52037\n86925 100000\n95228 100000\n80696 100000\n54653 82001\n51421 77189\n75733 100000\n97333 100000\n66126 99209\n91933 100000\n34563 51986\n2782 4208\n51264 76956\n94868 100000\n41872 62952\n91352 100000\n23420 35320\n31386 47263\n69787 100000\n92789 100000\n47636 71524\n82006 100000\n61557 92316\n69952 100000\n94215 100000\n60381 90582\n74429 100000\n64093 96142\n86102 100000\n32429 48832\n60243 90382\n62750 94117\n95286 100000\n92295 100000\n53129 79715\n57227 85830\n20831 31409\n63420 95121\n4141 6212\n21433 32298\n71563 100000\n3682 5548\n61813 92706\n92647 100000\n75904 100000\n21264 32043\n77603 100000\n22494 33916\n77946 100000\n19449 29319\n38683 58189\n47048 70645\n99778 100000\n70842 100000\n582 893\n94063 100000\n76279 100000\n54691 82055\n90150 100000\n91140 100000\n38377 57741\n42799 64324\n54007 81047\n50337 75568\n82792 100000\n24170 36438\n50130 75247\n53515 80290\n60078 90137\n98484 100000\n51658 77553\n46164 69349\n24541 37001\n78249 100000\n15849 23896\n72042 100000\n26998 40656\n98018 100000\n30661 46183\n44145 66327\n29669 44681\n94701 100000\n72269 100000\n44447 66769\n46861 70372\n37705 56729\n85370 100000\n29643 44643\n15861 23913\n77257 100000\n53989 81018\n22009 33176\n90623 100000\n29959 45128\n88734 100000\n72394 100000\n85704 100000\n73541 100000\n12585 18957\n40513 60930\n14973 22569\n90381 100000\n98349 100000\n98706 100000\n25141 37887\n33055 49755\n97266 100000\n4109 6170\n93176 100000\n54963 82453\n7494 11261\n87624 100000\n2536 3839\n25111 37840\n6340 9529\n70194 100000\n96851 100000\n79872 100000\n33546 50469\n92958 100000\n89181 100000\n48931 73462\n22919 34554\n36831 55420\n31682 47725\n68144 100000\n54057 81119\n5179 7772\n54617 81945\n940 1435\n40369 60714\n32670 49189\n9881 14875\n47297 71019\n12036 18136\n83877 100000\n13630 20532\n3815 5744\n41750 62760\n38025 57213\n52884 79345\n56362 84543\n49648 74527\n37880 56992\n17070 25735\n41892 62983\n41035 61706\n76161 100000\n89925 100000\n58304 87465\n88134 100000\n73358 100000\n50835 76313\n95032 100000\n80275 100000\n78831 100000\n95104 100000\n55889 83849\n65848 98783\n69742 100000\n42687 64154\n10020 15087\n50719 76138\n61859 92778\n77440 100000\n26648 40127\n75717 100000\n68847 100000\n513 785\n82680 100000\n7732 11621\n67239 100000\n94576 100000\n89142 100000\n82231 100000\n76920 100000\n72274 100000\n2138 3242\n17450 26302\n9452 14220\n90363 100000\n64041 96060\n85032 100000\n34562 51985\n34258 51521\n57630 86458\n97548 100000\n21833 32912\n11832 17829\n80460 100000\n42912 64491\n90619 100000\n62828 94229\n30350 45715\n43394 65228\n70650 100000\n83461 100000\n82585 100000\n62708 94055\n20983 31630\n33215 49987\n63197 94785\n57014 85510\n77717 100000\n34788 52321\n26752 40293\n78295 100000\n87039 100000\n11544 17393\n90074 100000\n44971 67563\n91199 100000\n94505 100000\n4576 6880\n32864 49477\n84096 100000\n32224 48524\n35039 52708\n2160 3274\n72077 100000\n25646 38633\n90644 100000\n29235 44045\n16378 24685\n33932 51046\n10472 15759\n24197 36482\n84938 100000\n97611 100000\n99777 100000\n67372 100000\n15804 23827\n20205 30470\n88463 100000\n42693 64163\n40618 61085\n46422 69728\n74392 100000\n44410 66718\n50300 75510\n79156 100000\n70922 100000\n54333 81525\n35851 53925\n17191 25924\n84472 100000\n16593 25010\n59861 89815\n9416 14168\n37465 56372\n32049 48259\n12421 18711\n1799 2739\n87931 100000\n64139 96207\n80072 100000\n78074 100000\n59727 89613\n35424 53284\n94677 100000\n27954 42105\n21634 32611\n17126 25822\n2181 3306\n60700 91057\n45646 68581\n34377 51710\n44281 66526\n13536 20393\n37180 55940\n71262 100000\n90471 100000\n84606 100000\n77878 100000\n84258 100000\n34813 52360\n71107 100000\n54806 82229\n83087 100000\n35829 53893\n38685 58193\n6925 10401\n17821 26851\n74806 100000\n38218 57500\n24583 37057\n75835 100000\n62189 93284\n57225 85827\n52010 78069\n58648 87988\n17596 26515\n43323 65119\n20936 31563\n69321 100000\n82907 100000\n9005 13554\n39179 58933\n72070 100000\n19307 29096\n62075 93100\n37564 56514\n88091 100000\n15843 23886\n5866 8812\n86410 100000\n14285 21536\n98632 100000\n60628 90953\n62894 94330\n71124 100000\n86763 100000\n6407 9626\n88636 100000\n77761 100000\n34122 51327\n63398 95091\n8966 13494\n96776 100000\n96554 100000\n83587 100000\n17791 26809\n57370 86058\n2502 3783\n54868 82315\n85381 100000\n59879 89844\n85257 100000\n22792 34361\n39855 59948\n16682 25140\n39646 59638\n72706 100000\n87237 100000\n26895 40505\n30820 46428\n61467 92183\n3745 5640\n63148 94714\n69224 100000\n86301 100000\n68754 100000\n15218 22928\n28550 43017\n93500 100000\n52955 79455\n6121 9201\n94649 100000\n63468 95191\n28624 43132\n56755 85131\n88613 100000\n41222 61983\n74602 100000\n14278 21525\n84120 100000\n96053 100000\n24900 37521\n72004 100000\n35205 52966\n87291 100000\n49991 75032\n86339 100000\n2123 3219\n4132 6201\n25935 39065\n62713 94063\n73356 100000\n47318 71050\n65645 98466\n80823 100000\n51071 76668\n32318 48666\n58073 87122\n82506 100000\n45523 68383\n23829 35921\n26139 39373\n76197 100000\n83501 100000\n93631 100000\n63949 95912\n19241 28989\n52369 78587\n83567 100000\n16380 24687\n10597 15941\n47453 71250\n29074 43804\n25239 38029\n19873 29967\n94662 100000\n46592 69981\n31452 47361\n73375 100000\n66311 99498\n92568 100000\n81752 100000\n47616 71492\n23141 34877\n5165 7752\n67204 100000\n70698 100000\n60963 91447\n38016 57201\n884 1356\n76345 100000\n75168 100000\n67110 100000\n10504 15809\n66549 99849\n94629 100000\n48026 72117\n85938 100000\n35254 53033\n34259 51523\n16491 24852\n29066 43794\n58750 88147\n62063 93082\n18453 27798\n42099 63288\n88372 100000\n97195 100000\n18509 27886\n88357 100000\n9921 14940\n74528 100000\n21313 32117\n85027 100000\n17290 26071\n60758 91147\n927 1417\n57743 86622\n94747 100000\n70251 100000\n16798 25322\n10051 15135\n14751 22239\n771 1186\n37487 56403\n31456 47366\n10911 16418\n52515 78801\n9482 14268\n86912 100000\n79236 100000\n33906 51009\n25928 39055\n12267 18477\n40554 60993\n29110 43859\n51614 77488\n24099 36332\n74596 100000\n62881 94311\n56028 84056\n75782 100000\n18036 27172\n30070 45298\n62983 94467\n73636 100000\n32621 49117\n49635 74509\n48127 72275\n22304 33628\n28975 43657\n34275 51551\n87833 100000\n93749 100000\n25565 38519\n13925 20985\n16202 24424\n83766 100000\n53036 79572\n78964 100000\n56749 85124\n36941 55589\n29364 44237\n8049 12104\n19921 30045\n46440 69754\n72671 100000\n91727 100000\n36269 54546\n64137 96205\n5869 8817\n57678 86527\n81134 100000\n72974 100000\n27852 41951\n11060 16642\n64670 96992\n95373 100000\n76125 100000\n21034 31706\n24974 37635\n87834 100000\n11403 17181\n38449 57848\n83048 100000\n20135 30369\n79521 100000\n19422 29277\n92483 100000\n86407 100000\n41929 63038\n39708 59733\n72103 100000\n5600 8408\n67440 100000\n8950 13469\n60875 91321\n14653 22088\n37966 57129\n88067 100000\n77858 100000\n11607 17490\n65631 98448\n92539 100000\n5998 9015\n14144 21319\n93424 100000\n64285 96420\n23696 35725\n12455 18764\n67811 100000\n34083 51274\n9044 13610\n43022 64659\n41060 61743\n90438 100000\n29976 45154\n15505 23358\n39078 58781\n87536 100000\n60164 90258\n41088 61784\n35731 53746\n16959 25568\n88094 100000\n78880 100000\n13989 21088\n31966 48134\n50623 75993\n18788 28301\n7944 11942\n47254 70954\n5414 8128\n63771 95650\n3232 4885\n86696 100000\n78570 100000\n32020 48214\n11706 17642\n35522 53429\n50955 76495\n31886 48023\n6800 10218\n91991 100000\n37331 56161\n4153 6232\n67415 100000\n99571 100000\n44938 67513\n20151 30391\n19685 29676\n69236 100000\n7285 10943\n5573 8367\n1672 2545\n3168 4791\n959 1468\n76763 100000\n27911 42039\n1989 3025\n61540 92291\n26701 40211\n73766 100000\n32411 48808\n28750 43328\n95799 100000\n88550 100000\n63787 95676\n82934 100000\n44650 67074\n5142 7718\n79597 100000\n68598 100000\n44774 67261\n76871 100000\n91457 100000\n73833 100000\n90172 100000\n24715 37251\n60416 90633\n14431 21759\n83981 100000\n84190 100000\n58127 87203\n21431 32294\n89099 100000\n34889 52480\n82635 100000\n82920 100000\n71420 100000\n56309 84461\n95664 100000\n72861 100000\n93138 100000\n62312 93471\n86724 100000\n23272 35077\n97894 100000\n66091 99154\n83049 100000\n50482 75785\n4516 6795\n70064 100000\n97011 100000\n49038 73618\n64427 96625\n38837 58411\n60420 90639\n75602 100000\n57244 85852\n92414 100000\n77770 100000\n13923 20981\n36506 54918\n49562 74400\n79924 100000\n48080 72202\n54412 81640\n16211 24438\n99390 100000\n89562 100000\n70409 100000\n76785 100000\n53083 79650\n10244 15421\n21506 32412\n96509 100000\n26523 39943\n9654 14533\n20083 30289\n15370 23153\n29848 44956\n59101 88671\n4621 6942\n17916 27002\n43826 65870\n40477 60874\n8643 13010\n87160 100000\n93714 100000\n58329 87503\n44217 66436\n12462 18773\n63439 95150\n82255 100000\n96760 100000\n85633 100000\n67129 100000\n68093 100000\n99755 100000\n82501 100000\n85136 100000\n98217 100000\n49966 74993\n21106 31811\n22856 34458\n76413 100000\n54313 81497\n28340 42701\n91239 100000\n81450 100000\n43656 65613\n18860 28406\n76052 100000\n25012 37693\n40169 60415\n69869 100000\n28475 42898\n63017 94520\n59576 89385\n34610 52054\n83093 100000\n95502 100000\n7982 12001\n91366 100000\n92437 100000\n5581 8379\n80387 100000\n56406 84610\n80184 100000\n82151 100000\n74031 100000\n91955 100000\n44681 67121\n72141 100000\n30607 46099\n28171 42432\n35960 54085\n79113 100000\n6617 9943\n75642 100000\n79958 100000\n85064 100000\n19615 29572\n78142 100000\n22633 34129\n68771 100000\n54623 81953\n90094 100000\n43861 65920\n37649 56643\n48782 73244\n36661 55160\n15732 23711\n7798 11718\n62378 93569\n28338 42697\n56479 84718\n98719 100000\n12798 19274\n33487 50385\n53701 80573\n1348 2059\n55703 83563\n826 1270\n66903 100000\n43365 65184\n1679 2555\n63218 94816\n14465 21807\n48301 72529\n6963 10452\n83573 100000\n2412 3643\n22915 34546\n69528 100000\n98194 100000\n62259 93393\n53337 80016\n15119 22787\n78713 100000\n48455 72754\n91327 100000\n14864 22410\n22791 34359\n90273 100000\n79421 100000\n42381 63700\n57551 86333\n38150 57397\n2873 4339\n76414 100000\n62659 93980\n34592 52027\n34877 52460\n55563 83353\n6554 9851\n480 734\n65587 98386\n15147 22822\n64980 97464\n39943 60085\n1780 2708\n22606 34086\n64061 96091\n44885 67436\n36014 54167\n29779 44858\n25754 38796\n92519 100000\n4140 6211\n72120 100000\n75986 100000\n99380 100000\n75452 100000\n4892 7354\n43088 64757\n3089 4668\n19118 28797\n52925 79405\n19624 29581\n97508 100000\n34578 52006\n89566 100000\n48843 73331\n42825 64359\n34353 51672\n38978 58630\n74693 100000\n34993 52637\n81084 100000\n4638 6968\n63190 94776\n76529 100000\n30505 45951\n65873 98822\n94188 100000\n18521 27904\n9146 13758\n52764 79166\n22017 33188\n74722 100000\n61545 92297\n1113 1703\n52976 79484\n78862 100000\n32029 48227\n16908 25490\n9266 13941\n19573 29503\n31068 46791\n67369 100000\n90869 100000\n34076 51265\n97786 100000\n25152 37902\n11622 17512\n14900 22459\n51384 77134\n28082 42296\n26987 40639\n64227 96340\n44049 66192\n26769 40319\n2713 4105\n3954 5941\n17812 26839\n5125 7697\n32074 48294\n45975 69065\n18918 28492\n1241 1890\n50158 75289\n56454 84680\n39130 58860\n64555 96821\n14976 22572\n53925 80918\n78196 100000\n96871 100000\n83892 100000\n24153 36413\n29478 44397\n23056 34759\n23610 35593\n38701 58217\n23793 35865\n17294 26077\n38429 57818\n27267 41061\n75006 100000\n12154 18307\n35725 53736\n85105 100000\n68042 100000\n5282 7932\n25086 37807\n13145 19796\n38000 57176\n44676 67113\n3808 5734\n15313 23070\n47468 71270\n38607 58078\n3112 4701\n30218 45517\n88928 100000\n56054 84090\n85365 100000\n21090 31789\n75541 100000\n15803 23825\n66552 99854\n30173 45453\n58365 87558\n28618 43124\n44718 67176\n34706 52199\n65886 98841\n67861 100000\n9851 14829\n2964 4479\n15085 22729\n32951 49603\n79476 100000\n14746 22232\n98769 100000\n32404 48796\n87645 100000\n94536 100000\n69983 100000\n95894 100000\n73961 100000\n31764 47840\n3700 5573\n42491 63860\n69162 100000\n99136 100000\n95920 100000\n21247 32015\n9047 13615\n71084 100000\n90137 100000\n93764 100000\n94948 100000\n56673 85011\n4630 6956\n56976 85459\n53150 79746\n3056 4617\n49842 74815\n64608 96898\n83515 100000\n54425 81660\n81616 100000\n16796 25320\n67734 100000\n63415 95114\n23671 35688\n90591 100000\n76963 100000\n86460 100000\n44398 66699\n64153 96228\n66462 99720\n48364 72621\n95760 100000\n4964 7454\n2310 3500\n86870 100000\n40847 61419\n38788 58342\n57668 86513\n97985 100000\n58025 87047\n55804 83713\n84399 100000\n45266 67997\n83205 100000\n91378 100000\n38938 58570\n99219 100000\n16776 25285\n7409 11134\n82362 100000\n45656 68595\n46674 70100\n21754 32797\n20622 31101\n2856 4314\n11147 16777\n67425 100000\n47881 71896\n36602 55064\n11257 16947\n39073 58775\n49076 73674\n49219 73896\n23669 35686\n47342 71088\n57163 85730\n38929 58556\n10315 15529\n97336 100000\n39792 59865\n9108 13699\n45892 68942\n45501 68346\n18448 27789\n2588 3915\n58775 88186\n34574 52002\n68806 100000\n66695 100000\n24307 36655\n73564 100000\n1148 1755\n63036 94547\n61151 91726\n72892 100000\n18042 27181\n86488 100000\n24434 36847\n67160 100000\n48541 72877\n34604 52046\n41493 62378\n85122 100000\n40397 60754\n38984 58641\n5234 7856\n3394 5130\n17270 26042\n8239 12389\n80118 100000\n99261 100000\n32489 48925\n4705 7067\n29738 44792\n3637 5480\n557 853\n77450 100000\n93346 100000\n39674 59679\n17385 26207\n78971 100000\n9354 14073\n95981 100000\n89243 100000\n77263 100000\n74104 100000\n67065 100000\n88006 100000\n13169 19833\n27890 42009\n8010 12042\n6181 9291\n72426 100000\n34758 52278\n21522 32435\n10187 15334\n22525 33958\n4386 6587\n41441 62300\n99299 100000\n46204 69408\n15768 23767\n49495 74308\n14706 22175\n92159 100000\n78268 100000\n22353 33701\n46329 69585\n76377 100000\n54848 82290\n",
        "output": "26\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 111,
        "task_id": 541,
        "test_case_id": 44,
        "question": "There are N islands lining up from west to east, connected by N-1 bridges.\nThe i-th bridge connects the i-th island from the west and the (i+1)-th island from the west.\nOne day, disputes took place between some islands, and there were M requests from the inhabitants of the islands:\nRequest i: A dispute took place between the a_i-th island from the west and the b_i-th island from the west. Please make traveling between these islands with bridges impossible.\nYou decided to remove some bridges to meet all these M requests.\nFind the minimum number of bridges that must be removed.\n\n-----Constraints-----\n - All values in input are integers.\n - 2 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^5\n - 1 \\leq a_i < b_i \\leq N\n - All pairs (a_i, b_i) are distinct.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 b_1\na_2 b_2\n:\na_M b_M\n\n-----Output-----\nPrint the minimum number of bridges that must be removed.\n\n-----Sample Input-----\n5 2\n1 4\n2 5\n\n-----Sample Output-----\n1\n\nThe requests can be met by removing the bridge connecting the second and third islands from the west.",
        "solutions": "[\"n, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab = sorted(ab, key=lambda x: x[1])\\ns = ab[0][1]\\nans = 1\\nfor i in ab:\\n    if s <= i[0]:\\n        ans += 1\\n        s = i[1]\\nprint(ans)\", \"N,M = map(int,input().split())\\nW = sorted([list(map(int,input().split())) for m in range(M)],key=lambda x:x[1])\\nc = 0\\nx = 0\\n\\nfor a,b in W:\\n   if x<a:\\n      x=b-1\\n      c+=1\\n\\nprint(c)\", \"n, m = map(int, input().split())\\nc = [[0] * 2 for _ in range(m)]\\nfor i in range(m):\\n    c[i][1] , c[i][0] = map(int, input().split())\\nc.sort()  #\\u6a4b\\u3092\\u53d6\\u308a\\u9664\\u304f\\u6642\\u306f\\u3067\\u304d\\u308b\\u3060\\u3051b\\u306e\\u5cf6\\u306b\\u8fd1\\u3044\\u3068\\u3053\\u308d\\u3067\\u53d6\\u308a\\u9664\\u304f\\u3068\\u826f\\u3044\\u3002\\nx = -1  #\\u76f4\\u524d\\u306b\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\u306eindex\\nans = 0\\nfor i in range(m):\\n    if c[i][1] > x:\\n        x = c[i][0] - 1\\n        ans += 1\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\ncondition = [list(map(int, input().split())) for _ in range(m)]\\n\\ncondition.sort(key=lambda a: (a[1], a[0]))\\n\\nright_end = 0\\nans = 0\\nfor c in condition:\\n    if c[0] >= right_end:\\n        ans += 1\\n        right_end = c[1]\\nprint(ans)\\n\", \"from operator import itemgetter\\nN,M=map(int,input().split())\\nislands=[list(map(int,input().split())) for _ in range(M)]\\nislands.sort(key=itemgetter(1))\\n\\ni=0\\ncnt=0\\nwhile i<M:\\n    j=0\\n    while i+j<M and islands[i+j][0]<islands[i][1]:\\n        j+=1\\n    i+=j\\n    cnt+=1\\nprint(cnt)\", \"from operator import itemgetter\\nN, M = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=itemgetter(1))\\nans = [0]\\nfor a, b in ab:\\n    if ans[-1] < a:\\n        ans.append(b-1)\\nprint(len(ans) - 1)\", \"N, M = list(map(int, input().split()))\\nB = [tuple(map(int, input().split())) for _ in range(M)]\\nB.sort()\\nr = 0\\nres = 0\\nfor a, b in B:\\n    if a >= r:\\n        res += 1\\n        r = b\\n    else:\\n        r = min(r, b)\\nprint(res)\\n\", \"import sys\\n\\nn, m = map(int, sys.stdin.readline().split())\\n\\nhostility = [[] for _ in range(m)]\\nfor i in range(m):\\n    a, b = map(int, sys.stdin.readline().split())\\n    hostility[i].append(a - 1)\\n    hostility[i].append(b - 1)\\n\\nhostility = sorted(hostility, key = lambda x: x[1])\\n\\ncnt = 0\\nbridge = -1\\nfor i in range(m):\\n    if hostility[i][0] <= bridge < hostility[i][1]:\\n        continue\\n    bridge = hostility[i][1] - 1\\n    cnt += 1\\nprint(cnt)\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\n\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\ndef main():\\n    N, M = NMI()\\n    ab = [NLI() for _ in range(M)]\\n    \\n    ENDsorted_sections= sorted(ab, key=lambda x: x[1])\\n    \\n    ans = 1\\n    dropped_bridge = ENDsorted_sections[0][1]\\n\\n    for m in range(M):\\n        if ENDsorted_sections[m][0] >= dropped_bridge:#\\u65b0\\u3057\\u304f\\u6a4b\\u3092\\u843d\\u3068\\u3055\\u306a\\u3044\\u3068\\u3044\\u3051\\u306a\\u3044\\n            ans += 1\\n            dropped_bridge = ENDsorted_sections[m][1]\\n    print(ans)    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\na_b_l = []\\nfor _ in range(M):\\n    a_b_l.append(list(map(int, input().split())))\\n\\na_b_l = sorted(a_b_l, key=lambda x: x[1])\\nans = 0\\nprev_removed_bridge = 0\\nfor a, b in a_b_l:\\n    if a <= prev_removed_bridge:\\n        continue\\n    prev_removed_bridge = b - 1\\n    ans += 1\\nprint(ans)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N,M =  map(int, input().split())\\nli = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    li.append([b,a])\\nli.sort()\\nan = 1\\nnow_end = li[0][0]\\nfor i in range(1,M):\\n    if now_end <= li[i][1]:\\n        an += 1\\n        now_end = li[i][0]\\nprint(an)\", \"n, m = list(map(int, input().split()))\\nba = []\\nfor i in range(m):\\n    a, b = [int(x) - 1 for x in input().split()]\\n    ba.append((b,a))\\nba.sort()\\ncount = 0\\nprev_b = -1\\nfor b, a in ba:\\n    if a < prev_b:\\n        continue\\n    prev_b = b\\n    count += 1\\nprint(count)\\n\", \"_,*l = [list(map(int,i.split())) for i in open(0)]\\nl.sort(key=lambda x:x[1])\\nA=S=0\\nfor s,t in l:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"def resolve():\\n    import sys\\n    from operator import itemgetter\\n    \\n    readline = sys.stdin.readline    # 1\\u884c\\u3060\\u3051\\u6587\\u5b57\\u5217\\u306b\\u3059\\u308b\\n\\n    N, M = list(map(int, readline().split()))\\n    AB = [list(map(int, readline().split())) for _ in [0] * M]\\n    AB.sort(key=itemgetter(1))\\n    islands = -float('inf')\\n    ans = 0\\n    for left, right in AB:\\n        if islands <= left:\\n            ans += 1\\n            islands = right\\n    print(ans)\\n    \\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [0] * m\\nb = [0] * m\\n\\nfor i in range(m):\\n    a[i], b[i] = map(int, input().split())\\n\\nab = sorted([(a[i], b[i]) for i in range(m)], key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"from operator import itemgetter\\n\\nN, M = map(int, input().split())\\nab = [tuple(map(int, input().split())) for _ in range(M)]\\nab = sorted(ab, key=itemgetter(1))\\n\\n# \\u524d\\u56de\\u53d6\\u308a\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u3044\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\nAB = []\\n\\nfor _ in range(M):\\n  a, b = map(int, input().split())\\n  AB.append((a, b))\\n\\nRsort = sorted(AB, key=lambda x: x[1])\\ncnt = 0\\nR = 0\\n\\nfor a, b in Rsort:\\n  if a <= R:\\n    continue\\n  else:\\n    cnt += 1\\n    R = b-1\\n\\nprint(cnt)\", \"N, M = map(int, input().split())\\nq = [list(map(int, input().split())) for _ in range(M)]\\nq = sorted(sorted(q, key=lambda x: x[0]), key=lambda x: x[1])\\n\\nlast = 0\\ncnt = 0\\nfor a, b in q:\\n    if last < a:\\n        last = b-1\\n        cnt += 1\\n\\nprint(cnt)\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridges = [requests[0][1] - 1]\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if (bridges[-1] < a_i) or (b_i <= bridges[-1]):\\n        bridges.append(b_i - 1)\\nans = len(bridges)\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = []\\n\\nfor a, b in Q:\\n    flag = True\\n    for x in border:\\n        # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u308b\\u304b\\n        if a < x and x <= b:\\n            flag = False\\n            break\\n    if flag:\\n        border.append(b)\\n\\nans = len(border)\\nprint(ans)\", \"n,m=map(int,input().split())\\nR=[]\\nfor i in range (m) :\\n    a,b=map(int,input().split())\\n    R.append ([b, a])\\nR.sort()\\n\\ndef solve() :\\n    ans,t=0,0\\n    for i in range (m) :\\n        if t<=R[i][1]:\\n            ans+=1\\n            t=R[i][0]\\n    return ans\\nprint (solve ())\", \"# atcoder -take a rest-(easy)\\n#typical greedy\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    conflict = [tuple(map(int, input().split())) for i in range(M)]\\n    newest_destroyed = -1\\n    conflict.sort(key=lambda x: x[1])\\n    res = 0\\n    for l, r in conflict:\\n        if not (l <= newest_destroyed < r):\\n            res += 1\\n            newest_destroyed = r-1\\n    print(res)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n\\n__starting_point()\", \"N,M = list(map(int,input().split()))\\n\\narr = []\\nfor _ in range(M):\\n  a,b = list(map(int,input().split()))\\n  arr.append((a,b))\\n\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if a < pb <= b:\\n    pass\\n  else:\\n    ans += 1\\n    pb = b\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nconflicts = [list(map(int, input().split())) for i in range(M)]\\n\\nintervals = []\\nfor conflict in conflicts:\\n    intervals.append([conflict[0], conflict[1]-1])\\n\\nintervals = sorted(intervals, key=lambda x: x[1])#interval[1]\\u306e\\u5927\\u304d\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\n\\ncount = 0\\nend = -float(\\\"inf\\\")\\nfor interval in intervals:\\n    if interval[0] > end:\\n        count += 1\\n        end = interval[1]\\n\\nprint(count)\", \"x=c=0\\nfor a,b in sorted([list(map(int,o.split()))for o in open(0)][1:],key=lambda p:p[1]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    AB = [None] * M\\n    for i in range(M):\\n        AB[i] = tuple(map(int, input().split()))\\n\\n    AB.sort(key=lambda x: x[1])\\n\\n    ans = 0\\n    prev_x = -1\\n    for a, b in AB:\\n        if a <= prev_x < b:\\n            pass\\n        else:\\n            ans += 1\\n            prev_x = b - 1\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = list(map(int, input().split()))\\ndata = [list(map(int, input().split())) for _ in range(M)]\\ndata = sorted(data, key=lambda x: x[1])\\n\\ncount = 1\\nleft = data[0][1]\\nfor i in range(1, M):\\n    if data[i][0] < left:\\n        left = max(data[i][0], left)\\n    else:\\n        count += 1\\n        left = data[i][1]\\nprint(count)\\n\", \"n, m = map(int, input().split())\\n\\nbridge = [None]*m\\nfor i in range(m):\\n  a, b = map(int, input().split())\\n  bridge[i] = [b, a]\\n\\nans = 0\\nbridge.sort()\\n\\nsub = -1\\nans = 0\\nfor v in bridge:\\n  b, a = v[0], v[1]\\n  if a >= sub:\\n    sub = b\\n    ans += 1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\n\\nls = []\\nfor i in range(m):\\n    x,l = map(int,input().split())\\n    ls.append([x,l])\\n    \\nls = sorted(ls, key=lambda x: x[1])\\nans =m\\nfor i in range(1,m):\\n    if ls[i][0] < ls[i-1][1]:\\n      ls[i][1] = ls[i-1][1]\\n      ans -=1\\n        \\nprint(ans)\", \"n, m = map(int, input().split())\\nl = [list(map(int, input().split())) for i in range(m)]\\n \\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = m\\n \\nfor i in range(1, m):\\n    if l[i-1][1] > l[i][0]:\\n        l[i][1] = l[i-1][1]\\n        cnt -= 1\\n \\nprint(cnt)\", \"N, M = map(int, input().split())\\n\\nab = []\\nfor _ in range(M):\\n    a, b = map(int, input().split())\\n    ab.append((a, b))\\nab.sort(key=lambda ab: ab[::-1])\\n\\nans = 0\\nlast = -1\\nfor a, b in ab:\\n    if not a <= last < b:\\n        last = b - 1\\n        ans += 1\\nprint(ans)\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(m)]\\n\\nb = sorted(a, key=itemgetter(1))\\n#print(b)\\nremoved = -1\\nans = 0\\n\\nfor i in range(m):\\n  if b[i][0] > removed:\\n    removed = b[i][1] - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys,math,collections,itertools\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\\n\", \"N, M = map(int, input().split())\\nneeds = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    needs.append((x, y))\\nneeds.sort(key=lambda x: x[1])\\npb = needs[0][1]\\nres = 1\\nfor i in needs:\\n    if i[0] >= pb:\\n        res += 1\\n        pb = i[1]\\n\\nprint(res)\", \"x=c=0\\nfor b,a in sorted([[*map(int,t.split())][::-1]for t in open(0)][1:]):\\n if a>x:x=b-1;c+=1\\nprint(c)\", \"n,m=map(int,input().split())\\nA=[]\\nfor i in range(m):\\n    a,b=map(int,input().split())\\n    a-=1 ;b-=1\\n    A.append([a,b])\\n\\nA=sorted(A, key=lambda x:x[1])\\nans=0\\nlast=-5000\\nfor l in A:\\n    #print(a,b)\\n    if last<l[0]:\\n        ans+=1\\n        last=l[1]-1\\nprint(ans)\", \"N,M=list(map(int,input().split()))\\nans=0\\nl=[]\\nfor i in range(M):\\n   a,b=(map(int,input().split()))\\n   l.append((a,b))\\nl.sort(key=lambda x:x[1])\\ncut=-1\\nfor i,j in l:\\n   if cut>=i:\\n      continue\\n   else:\\n      ans+=1\\n      cut=j-1\\nprint(ans)\", \"n,m=list(map(int,input().split()))\\na=[]\\nfor _ in range(m):\\n  b=list(map(int,input().split()))\\n  a.append(b)\\n  \\na.sort()\\n\\nleft=a[0][0]\\nright=a[0][1]\\n\\nans=1\\n\\nfor i in range(1,m):\\n  x=a[i][0]\\n  y=a[i][1]\\n  \\n  if left<=x<right:\\n    left=x\\n    right=min(right,y)\\n    \\n  else:\\n    ans+=1\\n    left=x\\n    right=y\\n    \\nprint(ans)\\n    \\n\", \"def main():\\n    n,m = list(map(int,input().split()))\\n    brg = []\\n    for i in range(m):\\n        a,b = list(map(int,input().split()))\\n        brg.append([a-1,b-1])\\n    brg.sort()\\n    ans = 1\\n    s,e = brg[0]\\n    for i in range(1,m):\\n        s_,e_ = brg[i]\\n        if e_<=e:\\n            e = e_\\n        if s_>=s:\\n            s = s_\\n        if e <= s_:\\n            ans += 1\\n            s = s_\\n            e = e_\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M, *A = list(map(int, open(0).read().split()))\\n*A, = list(zip(*[iter(A)]*2))\\nA.sort()\\ncnt = 0\\nR = 0\\nfor a, b in A:\\n    if R <= a:\\n        cnt += 1\\n        R = b\\n    elif b < R:\\n        R = b\\nprint(cnt)\\n\", \"n,m=list(map(int, input().split()))\\nab=[list(map(int,input().split()))  for i in  range(m)]\\n\\nab=sorted(ab, key=lambda x:(x[0],x[1]), reverse=True)\\n#print(ab)\\nnow=10**5+1\\n\\npreb=-1\\nans=0\\nfor i in range(m):\\n  if ab[i][1]==preb:\\n    continue\\n  if ab[i][1]<=now:\\n    now=ab[i][0]\\n    preb=ab[i][1]\\n    ans+=1\\n    #print(\\\"now\\\",now)\\nprint(ans)\\n\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort(key=lambda x: x[1])\\n\\nans = m\\nfor i in range(1, m):\\n    if ab[i][0] < ab[i-1][1]:\\n        ab[i][1] = ab[i-1][1]\\n        ans -= 1\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\n\\ninstructions = []\\nfor _ in range(M):\\n    a = list(map(int, input().split()))\\n    instructions.append(a)\\ninstructions.sort(key=lambda x:x[1])\\n\\nans = 0\\ncurrent = 0\\nfor a, b in instructions:\\n    if current < a: #\\u904e\\u53bb\\u306e\\u6761\\u4ef6\\u3067\\u306f\\u307e\\u3060\\u6e80\\u305f\\u3057\\u3066\\u306a\\u3044\\n        current = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nlst=[list(map(int,input().split())) for i in range(m)]\\nlst.sort(key=lambda x:x[1])\\nans=1\\npin=lst[0][1]-1\\n\\nfor i in range(1,m):\\n  if lst[i][0]>pin:\\n    ans+=1\\n    pin=lst[i][1]-1\\n\\nprint(ans)\", \"n,m = map(int,input().split())\\nc = [list(map(int,input().split())) for _ in range(m)]\\nc.sort(key= lambda val : val[1])\\n\\nleft = 0\\nans = 0\\nfor i,[a,b] in enumerate(c):\\n    if left <= a:\\n        ans += 1\\n        left = b\\nprint(ans)\", \"n,m = map(int, input().split())\\nt = [[n] for i in range(n)]\\nfor i in range(m):\\n  a,b = map(int, input().split())\\n  t[a-1].append(b-1)\\ng = []\\nfor i in t:\\n  g.append(min(i))\\nk = 0\\nans=0\\nwhile k <=n-1:\\n  e = min(g[k:])\\n  if e==n:\\n    break\\n  ans+=1\\n  k = e\\nprint(ans)\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=10**9+7\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\ndef main():\\n  n,m=LI()\\n  l=[LI() for _ in range(m)]\\n  l=sorted(l,key=lambda x:x[1])\\n\\n  ans=1\\n  kiru=l[0][1]-0.1\\n  for x,y in l[1:]:\\n    if x<kiru<y:\\n      continue\\n    ans+=1\\n    kiru=y-0.1\\n\\n  return ans\\n\\n# main()\\nprint((main()))\\n\", \"N,M=list(map(int,input().split()))\\nab = [list(map(int,input().split())) for i in range(M)]\\n\\nans = 0\\nab.sort(key=lambda x:x[1])\\n\\nrecent_cut = -1#\\u76f4\\u8fd1\\u3067\\u5207\\u308a\\u843d\\u3068\\u3057\\u305f\\u6a4b\\u306e\\u5de6\\u306e\\u8857\\nfor i in range(M):\\n    if recent_cut < ab[i][0]:\\n        recent_cut = ab[i][1]-1\\n        ans+=1\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\nab = [list(map(int,input().split())) for _ in range(M)]\\nab.sort(key=lambda x: x[1])\\nans = 0\\npos = 0\\nfor i in range(M):\\n  if pos<ab[i][0]:\\n    ans+=1\\n    pos=ab[i][1]-1\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nN, M = list(map(int, input().split(' ')))\\n\\na_b_pairs = [list(map(int, input().split(' '))) for _ in range(M)]\\na_b_pairs.sort(key=lambda x: x[1])\\nright = a_b_pairs[0][1] - 1\\n\\nans = 1\\nfor a, b in a_b_pairs[1:]:\\n    if a > right:\\n        right = b - 1\\n        ans += 1\\n\\nprint(ans)\\n\\n\\n\\n\", \"# Segment tree (+)\\nfrom operator import add\\nfrom sys import stdin\\n\\n\\nclass SegmentTree:\\n    def __init__(self, size, op, e):\\n        self._op = op\\n        self._e = e\\n        self._size = size\\n        t = 1\\n        while t < size:\\n            t *= 2\\n        self._offset = t - 1\\n        self._data = [e] * (t * 2 - 1)\\n\\n    def __getitem__(self, key):\\n        return self._data[self._offset + key]\\n\\n    def __setitem__(self, key, value):\\n        op = self._op\\n        data = self._data\\n        i = self._offset + key\\n        data[i] = value\\n        while i >= 1:\\n            i = (i - 1) // 2\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def build(self, iterable):\\n        op = self._op\\n        data = self._data\\n        data[self._offset:self._offset + self._size] = iterable\\n        for i in range(self._offset - 1, -1, -1):\\n            data[i] = op(data[i * 2 + 1], data[i * 2 + 2])\\n\\n    def query(self, start, stop):\\n        def iter_segments(data, l, r):\\n            while l < r:\\n                if l & 1 == 0:\\n                    yield data[l]\\n                if r & 1 == 0:\\n                    yield data[r - 1]\\n                l = l // 2\\n                r = (r - 1) // 2\\n        op = self._op\\n        it = iter_segments(self._data, start + self._offset,\\n                           stop + self._offset)\\n        result = self._e\\n        for v in it:\\n            result = op(result, v)\\n        return result\\n\\nreadline = stdin.readline\\n\\nN, M = list(map(int, readline().split()))\\nab = [list(map(int, readline().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])\\nst = SegmentTree(N - 1, add, 0)\\n\\nresult = 0\\nfor a, b in ab:\\n    a, b = a - 1, b - 1\\n    if st.query(a, b) != 0:\\n        continue\\n    result += 1\\n    st[b - 1] = 1\\nprint(result)\\n\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN, M = map(int, input().split())\\n\\nAB = [list(map(int, input().split())) for _ in range(M)]\\nAB.sort()\\n\\nq = []\\nfor ab in AB:\\n    heapq.heappush(q, ab)\\n\\nans = 0\\ncnt = M\\nvisited = -1\\nwhile cnt > 0:\\n    ab = heapq.heappop(q)\\n    cnt -= 1\\n\\n    # print(ab, visited, cnt)\\n\\n    if ab[1] > ab[0]:\\n        heapq.heappush(q, [ab[1], ab[0]])\\n        cnt += 1\\n    else:\\n        if visited <= ab[1]:\\n            visited = ab[0]\\n            ans += 1\\n        else:\\n            pass\\n\\nprint(ans)\", \"N, M = map(int, input().split())\\na = []\\nfor i in range(M):\\n    x, y = map(int, input().split())\\n    a.append([x, y])\\na.sort(key=lambda x: x[1])\\nans = 0\\nfor i in range(M-1):\\n    if a[i+1][0] < a[i][1]:\\n        a[i+1][1] = a[i][1]\\n    else:\\n        ans += 1\\nans += 1\\nprint(ans)\", \"INF = 10**9\\n\\nN, M = map(int, input().split())\\n\\nrequests =[]\\nfor _ in range(M):\\n    requests.append(tuple(map(int, input().split())))\\nrequests.sort(key=lambda x:x[1])\\n\\nend = 1\\nans = 0\\nfor i in range(M):\\n    if end <= requests[i][0]:\\n        ans += 1\\n        end = requests[i][1]\\n\\nprint(ans)\", \"N,M = list(map(int,input().split()))\\nl = [list(map(int,input().split())) for _ in range(M)]\\nl.sort(key=lambda x: x[1])\\nbroken_bridge = 0\\nposition = 0\\nfor i in range(M):\\n    if position<l[i][0]:\\n        broken_bridge+=1\\n        position = l[i][1]-1\\nprint(broken_bridge)\\n\", \"n, m  = map(int, input().split())\\na = [list(map(int, input().split())) for i in range(m)]\\na = sorted(a, key=lambda x :x[1])\\nbridge = a[0][1] - 1\\nans = 1\\n\\nfor i in range(1, m):\\n    if a[i][0] > bridge:\\n        bridge = a[i][1] - 1\\n        ans += 1\\n        \\nprint(ans)\", \"n,m=list(map(int,input().split()))\\np=[]\\nfor _ in range(m):\\n  a,b=list(map(int,input().split()))\\n  p.append([a,b])\\n#print(p)\\np.sort(key=lambda x:x[1])\\n#print(p)\\nans=0\\ncur=0\\nfor i in range(m):\\n  if cur<=p[i][0]:\\n    #print(\\\"i:%d\\u6b8b\\u3059,cur:%d,p[i][1]:%d,p[i][0]:%d\\\" % (i,cur,p[i][1],p[i][0]))\\n    ans+=1\\n    cur=p[i][1]\\nprint(ans)\\n\", \"N,M = map(int,input().split())\\narr = []\\nfor _ in range(M):\\n  a,b = map(int,input().split())\\n  arr.append((a,b))\\narr.sort(key=lambda x: x[1])\\nans = 1\\n_, pb = arr[0]\\nfor a,b in arr[1:]:\\n  if pb <= a:\\n    ans += 1\\n    pb = b\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nB = [0] * M\\nfor i in range(M):\\n  B[i] = list(map(int, input().split()))\\n  \\nB = sorted(B, key = lambda x:x[1])\\nremove = []\\n#print(B)\\nfor i in range(M):\\n  a, b = B[i][0], B[i][1]\\n  if remove == []:\\n    remove.append(b - 1)\\n  elif max(remove) >= a:\\n    continue\\n  else:\\n    remove.append(b - 1)\\n  #print(remove)  \\nprint((len(remove)))    \\n\\n\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\ncd = sorted(ab, key=itemgetter(1))\\n#print(cd)\\nremoved = -1\\nans = 0\\n\\nfor a, b in cd:\\n  if a > removed:\\n    removed = b - 1\\n    ans += 1\\n    \\nprint(ans)\", \"import sys\\ninput = sys.stdin.readline\\n\\nN, M = map(int,input().split())\\nbridges = []\\nfor _ in range(M):\\n    a, b = map(int,input().split())\\n    bridges.append([a, b])\\n\\nbridges.sort(key = lambda x: x[1])\\n\\np = 0\\nt = 0\\n\\nwhile len(bridges) > 0:\\n    t = bridges[0][1]\\n    p += 1\\n    bridges = [i for i in bridges if i[0] >= t]\\n\\nprint(p)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> tuple:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        tuple: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N, M = list(map(int, input().split()))\\n    requests = []\\n    for i in range(M):\\n        a_i, b_i = list(map(int, input().split()))\\n        requests.append((a_i, b_i))\\n\\n    return N, M, requests\\n\\n\\ndef main(N: int, M: int, requests: list) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u5cf6\\u306e\\u6570(2 <= N <= 10^5)\\n        M (int): \\u8981\\u671b\\u306e\\u6570(1 <= M <= 10^5)\\n        requests (list): \\u8981\\u671b(1 <= a_i < b_i <= N)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    requests = sorted(requests, key=lambda x: x[1])\\n    bridge = 0\\n    ans = 0\\n    for i in range(M):\\n        a_i, b_i = requests[i]\\n        if a_i > bridge:\\n            bridge = b_i - 1\\n            ans += 1\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N, M, requests = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N, M, requests)\\n\\n__starting_point()\", \"n, m = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for i in range(m)]\\nab.sort()\\nans = 0\\nnow = 1\\nfor i in range(m):\\n\\tif now <= ab[i][0]:\\n\\t\\tans += 1\\n\\t\\tnow = ab[i][1]\\n\\tnow = min(now, ab[i][1])\\nprint(ans)\", \"N, M = list(map(int, input().split()))\\nAB = sorted([list(map(int, input().split())) for _ in range(M)])\\n\\nAB = sorted(AB, reverse=False, key=lambda x: x[1])\\n\\nlast_b = AB[0][1] - 1  # \\u6700\\u521d\\u306b\\u6f70\\u3059\\u6a4b\\ncnt = 1  # \\u4e0a\\u3067\\u4e00\\u3064\\u58ca\\u3057\\u3066\\u308b\\u306e\\u3067+1\\nfor a, b in AB:\\n    if a <= last_b:\\n        continue\\n    else:\\n        last_b = b - 1\\n        cnt += 1\\nprint(cnt)\\n\", \"\\nn, m = list(map(int, input().split()))\\nl = [list(map(int, input().split())) for i in range(m)]\\n\\nl = sorted(l, key = lambda x:(x[1], x[0]))\\ncnt = 0\\ncon_l = 0\\n\\nfor i in range(m):\\n    if con_l <= l[i][0]:\\n        cnt += 1\\n        con_l = l[i][1]\\n\\nprint(cnt)\\n\", \"n, m = list(map(int, input().strip().split()))\\nab_list = [list(map(int, input().strip().split())) for _ in range(m)]\\nab_list.sort(key=lambda x: x[1])\\n\\nres = 0\\nmin_r = 0\\nfor ab in ab_list:\\n    if min_r <= ab[0]:\\n        res += 1\\n        min_r = ab[1]\\nprint(res)\\n\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"(n, m), *l = [list(map(int, o.split())) for o in open(0)]\\nx = c = 0\\nfor a, b in sorted(l, key = lambda p:p[1]):\\n  if a > x:\\n    x = b - 1\\n    c += 1\\nprint(c)\", \"N,M,*A=map(int,open(0).read().split());c=0\\nfor a,b in sorted(zip(*[iter(A)]*2))[::-1]:\\n\\tif b<=N:c+=1;N=a\\nprint(c)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = []\\n\\n    for a, b in d:\\n        idx = bisect.bisect_left(down, a)\\n        if idx == len(down):\\n            down.append(b - 1)\\n    print((len(down)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nQ = [tuple(map(int, input().split())) for _ in range(M)]\\n\\n# \\u53f3\\u5074\\u304c\\u5c0f\\u3055\\u3044\\u9806\\u306b\\u30bd\\u30fc\\u30c8\\u3001\\u5236\\u7d04a<b\\u306a\\u306e\\u3067\\u305d\\u306e\\u307e\\u307e\\u4f7f\\u3063\\u3066\\u3088\\u3044\\nQ = sorted(Q, key=lambda x: x[1])\\n# \\u5883\\u754c\\u3001\\u53f3\\u5074\\u306e\\u533a\\u9593\\u306e\\u59cb\\u307e\\u308a\\nborder = -1\\nans = 0\\n\\nfor a, b in Q:\\n    # \\u65e2\\u5b58\\u306e\\u5883\\u754c\\u3067\\u5206\\u3051\\u3089\\u308c\\u306a\\u3044\\u3068\\u304d\\u306f\\u53f3\\u306b\\u305a\\u3089\\u3059\\n    if border <= a:\\n        ans += 1\\n        border = b\\n\\nprint(ans)\", \"n, m = list(map(int, input().split()))\\nab = sorted([tuple(map(int, input().split())) for _ in range(m)], key = lambda x:x[1])\\nremoved = -1\\nans = 0\\nfor a, b in ab:\\n    if a > removed:\\n        removed = b-1\\n        ans += 1\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\ndata=[]\\nfor i in range(m):\\n  a,b=map(int,input().split())\\n  data.append([b,a])\\ndata.sort()\\nr,l=data[0]\\ncnt=1\\nfor i in range(1,m):\\n  if data[i][1]>=r:\\n    cnt+=1\\n    r,l=data[i]\\n  else:\\n    r=min(r,data[i][0])\\n    l=max(l,data[i][1])\\nprint(cnt)\", \"def IslandsWar():\\n    n, m = list(map(int, input().split()))\\n    a = [list(map(int,input().split())) for _ in range(m)]\\n    a.sort(key=lambda x: x[1])\\n    removes = [a[0][1]]\\n\\n    for i, j in a[1:]:\\n        check = False\\n        for k in removes:\\n            if i < k:\\n                check = True\\n                break\\n        if not check:\\n            removes.append(j)\\n    print((len(removes)))\\n            \\ndef __starting_point():\\n    IslandsWar()\\n\\n__starting_point()\", \"_,*li = [list(map(int,i.split())) for i in open(0)]\\nli.sort(key=lambda x:x[1])\\nA = 0\\nS = 0\\nfor s,t in li:\\n    if S<=s:\\n        A+=1\\n        S=t\\nprint(A)\", \"N,M = map(int,input().split())\\ntable = []\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -= 1\\n    table.append((a,b))\\ntable = sorted(table,key=lambda x:x[1])\\ncur_r = table[0][1]\\nans = 1\\nfor i in range(1,M):\\n    l,r = table[i]\\n    if cur_r <= l:\\n        ans += 1\\n        cur_r = r\\n\\nprint(ans)\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    n, m = ns()\\n    d = []\\n    for _ in range(m):\\n        a, b = ns()\\n        d.append([a - 1, b - 1])\\n\\n    d.sort(key=lambda x: x[1])\\n\\n    down = -1\\n    ans = 0\\n    for a, b in d:\\n        if down < a:\\n            down = b-1\\n            ans += 1\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import bisect\\nN, M, *AB = [int(_) for _ in open(0).read().split()]\\nAB = sorted(zip(AB[::2], AB[1::2]))\\nl, r = AB[0]\\nans = 1\\nfor a, b in AB[1:]:\\n    if r <= a:\\n        l, r = a, b\\n        ans += 1\\n    else:\\n        r = min(r, b)\\nprint(ans)\\n\", \"n,m=map(int,input().split())\\nans=0\\nhead=1\\nfrom operator import itemgetter as it\\nfor x,y in sorted([list(map(int,input().split()))for i in range(m)],reverse=0,key=lambda x:(it(1)(x)*(n+1)*10-it(0)(x))):\\n    if not(x<head <=y):\\n        head=y\\n        ans+=1\\nprint(ans)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N, M = LI()\\n    ab = [LI_() for _ in range(M)]\\n    ab.sort(key=lambda x: x[1])\\n\\n    # \\u533a\\u9593\\u30b9\\u30b1\\u30b8\\u30e5\\u30fc\\u30ea\\u30f3\\u30b0\\n    ans = 0\\n    # print(ab)\\n    right = -1\\n    for a, b in ab:\\n        if right <= a:\\n            right = b\\n            ans += 1\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"N,M = map(int,input().split())\\nls = [tuple(map(int,input().split())) for _ in range(M)]\\nls.sort(key=lambda x:x[1],reverse=True)\\nls.sort(key=lambda x:x[0],reverse=True)\\nr = N\\ncnt = 0\\nfor i in range(M):\\n    a,b = ls[i]\\n    if b <= r:\\n        cnt += 1\\n        r = a\\nprint(cnt)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 10**9 + 7\\n\\ndef main():\\n    N, M = list(map(int, input().split()))\\n    ab = []\\n    for _ in range(M):\\n        a, b = [int(x)-1 for x in input().split()]\\n        ab.append((b,a))\\n    ab.sort()\\n    # print(ab)\\n    ans = 0\\n    x = -1\\n    for i in range(M):\\n        if ab[i][1] > x:\\n            ans += 1\\n            x = ab[i][0]-1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from operator import itemgetter\\n\\nn, m = map(int, input().split())\\n\\n# \\u533a\\u9593\\u306e\\u7d42\\u7aef\\u3067\\u30bd\\u30fc\\u30c8\\nab = sorted([tuple(map(int, input().split())) for i in range(m)], key=itemgetter(1))\\n# \\u524d\\u56de\\u9664\\u3044\\u305f\\u6a4b\\nremoved = -1\\nans = 0\\n\\nfor a, b in ab:\\n    # a \\u304c removed \\u3088\\u308a\\u5927\\u304d\\u3044 = \\u307e\\u3060\\u53d6\\u308a\\u9664\\u3044\\u3066\\u306a\\u3044\\n    if a > removed:\\n        removed = b - 1\\n        ans += 1\\n\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\nn, m = list(map(int, input().split()))\\n\\n# for i in range():\\n\\nab = [list(map(int, input().split())) for _ in range(m)]\\n\\nab.sort()\\n# print(ab)\\nans = 0\\ndiv = -1, -1\\nfor i in range(len(ab)):\\n    a, b = ab[i]\\n    # print(a, b)\\n\\n    if a == div[0]:\\n        continue\\n    elif a >= div[1]:\\n        div = a, b\\n        ans += 1\\n    else:\\n        div = a, min(b, div[1])\\n    # print(div, ans)\\n\\nprint(ans)\\n\", \"N, M = list(map(int, input().split()))\\nab = [list(map(int, input().split())) for _ in range(M)]\\n\\nab.sort(key=lambda x: x[1])  # Sort the list of (a, b) by b\\n\\nans = 0\\ncur = -1\\nfor i in range(M):\\n    a, b = ab[i]\\n    if a < cur:\\n        continue\\n    ans += 1\\n    cur = b\\n\\nprint(ans)\\n\", \"N, M = map(int, input().split())\\nreq = []\\nfor i in range(M):\\n    a, b = map(int, input().split())\\n    req.append([a, b])\\n\\nreq = sorted(req, key=lambda x: x[1])\\n\\nans = 1\\ncurrent = req[0][1]\\nfor i in range(1, len(req)):\\n    if req[i][0] < current:\\n        continue\\n    current = req[i][1]\\n    ans += 1\\nprint(ans)\", \"N,M = map(int,input().split())\\nwarzones = [[] for i in range(M)]\\nfor i in range(M):\\n    a,b = map(int,input().split())\\n    a -= 1\\n    b -=1\\n    warzones[i] = [a,b]\\nwarzones = sorted(warzones,key=lambda x:x[0])\\n#print(warzones)\\nshaku = warzones[0]\\ncnt = 1\\nfor i in range(1,M):\\n    #print(shaku)\\n    #\\u5c3a\\u7d99\\u7d9a\\u6761\\u4ef6\\n    if(warzones[i][0] < shaku[1]):\\n        shaku[0] = max(warzones[i][0],shaku[0])\\n        shaku[1] = min(warzones[i][1],shaku[1])\\n    else:\\n        cnt += 1\\n        shaku = warzones[i]\\n\\nprint(cnt)\\n\\n'''\\u5c3a\\u53d6\\u6cd5\\u306e\\u521d\\u671f\\u5316\\n\\u6700\\u521d\\u306b\\u914d\\u5217\\u306elists[0]\\u3067\\u521d\\u671f\\u5316\\nfor i in range(1,M):\\u3067\\u307e\\u308f\\u3057\\u3066\\nok\\u306e\\u5834\\u5408lists[i]\\u3092\\u4ee3\\u5165\\nng\\u306e\\u3068\\u304d\\u306f\\u30ab\\u30a6\\u30f3\\u30c8\\u3092\\u5897\\u3084\\u3057\\u3066ng\\u3067\\u518d\\u521d\\u671f\\u5316\\n'''\", \"# \\u521d\\u671f\\u5165\\u529b\\nimport sys\\ninput = sys.stdin.readline  #\\u6587\\u5b57\\u5217\\u3067\\u306f\\u4f7f\\u308f\\u306a\\u3044\\n\\nN,M = map(int, input().split())\\nans =1\\nab =[0]*M\\nfor i in range(M):\\n    a,b = map(int, input().split()) #\\u4e89\\u3044\\u306e\\u3042\\u308b\\u90e8\\u5206\\n    ab[i] =(a,b)\\n\\n#ab\\u3092b\\u3067\\u30bd\\u30fc\\u30c8\\nab.sort(key=lambda x: x[1],reverse=True)\\nmax_a =ab[0][0]\\nfor a,b in ab:\\n    if max_a < b:\\n        max_a =max(max_a,a)\\n        continue\\n    else:\\n        max_a =a\\n        ans +=1\\nprint(ans)\", \"from operator import itemgetter\\nn,m = map(int,input().split())\\nlis = []\\nfor _ in range(m):\\n    lis.append(list(map(int,input().split())))\\nlis.sort(key = itemgetter(1))\\nans = 0\\nlast = 0\\nfor i in range(m):\\n    if last <= lis[i][0]:\\n        ans += 1\\n        last = lis[i][1]\\nprint(ans)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, M, *AB = list(map(int, read().split()))\\n\\n    Q = [[] for _ in range(N - 1)]\\n    for i, (a, b) in enumerate(zip(*[iter(AB)] * 2)):\\n        Q[a - 1].append(b - 2)\\n\\n    min_y = INF\\n    ans = 0\\n    for i, ys in enumerate(Q):\\n        if ys:\\n            min_y = min(min_y, min(ys))\\n        if i == min_y:\\n            ans += 1\\n            min_y = INF\\n\\n    print(ans)\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"n,m = list(map(int,input().split()))\\nl = sorted(list( list(map(int,input().split())) for _ in range(m)), key=lambda x: x[1])\\nbr = -1\\nans = 0\\nfor i in l:\\n    head, tail = i[0], i[1]\\n    if head < br:\\n        continue\\n    else:\\n        br = tail\\n        ans += 1\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nN,M=list(map(int,input().split()))\\n#- 1\\u8981\\u671b a\\u2192c,b\\u2192c\\u5206\\u65ad\\u8981\\u671b\\u306b\\u5bfe\\u3057\\u3066\\u3001a<b\\u306a\\u3089b\\u2192c\\u3060\\u3051\\u8003\\u616e\\u3059\\u308c\\u3070\\u3044\\u3044 -#\\nwant_list = [0]*(N+1)\\nfor _ in range(M):\\n    a,b = list(map(int,input().split()))\\n    want_list[b]=max(want_list[b],a)\\n\\n\\n#-\\u5206\\u65ad\\u3057\\u305f\\u6642\\u306e\\u6a4b\\u3068index\\u3068\\u8981\\u671b\\u3092\\u898b\\u6bd4\\u3079\\u3066\\u3001\\u8981\\u671b\\u3092\\u6e80\\u305f\\u3057\\u3066\\u3044\\u306a\\u3044\\u306a\\u3089\\u30ab\\u30a6\\u30f3\\u30c8\\u3059\\u308b-#\\ncnt = 0\\ncutNo = 0\\nfor idx,val in enumerate(want_list):\\n    if val >cutNo:\\n        cutNo = idx-1\\n        cnt += 1\\nprint(cnt)\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN, M = list(map(int, input().split()))\\nrequests = []\\nfor i in range(M):\\n    a_i, b_i = list(map(int, input().split()))\\n    requests.append((a_i, b_i))\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nrequests = sorted(requests, key=lambda x: x[1])\\nbridge = 0\\nans = 0\\nfor i in range(M):\\n    a_i, b_i = requests[i]\\n    if a_i > bridge:\\n        bridge = b_i - 1\\n        ans += 1\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\"]",
        "difficulty": "interview",
        "input": "100000 99999\n89369 100000\n46044 69130\n47367 71107\n617 941\n59484 89303\n9082 13675\n4113 6174\n65267 97907\n4790 7187\n95816 100000\n69383 100000\n60961 91518\n41549 62412\n90040 100000\n63790 95723\n55447 83221\n70804 100000\n80347 100000\n15776 23706\n56040 84118\n28191 42353\n48556 72936\n40947 61507\n79888 100000\n44654 67029\n15663 23542\n34029 51179\n72963 100000\n47258 70942\n35409 53225\n38326 57626\n33783 50802\n47080 70677\n51227 76892\n26417 39699\n30133 45276\n45630 68507\n37626 56575\n56054 84140\n79860 100000\n71771 100000\n87859 100000\n95162 100000\n70265 100000\n33421 50265\n17485 26296\n68327 100000\n97899 100000\n5436 8166\n99538 100000\n27718 41659\n31460 47310\n55237 82902\n25560 38419\n6802 10235\n89635 100000\n42340 63593\n67092 100000\n76443 100000\n63144 94778\n20224 30421\n2591 3911\n46036 69121\n14016 21103\n68204 100000\n69634 100000\n71392 100000\n51790 77736\n19973 30044\n32446 48804\n57741 86663\n23716 35679\n94654 100000\n8933 13455\n90845 100000\n65516 98278\n27412 41201\n82583 100000\n93629 100000\n39764 59747\n73254 100000\n46442 69733\n53911 80919\n84590 100000\n71585 100000\n34916 52498\n43980 66047\n18918 28465\n66535 99816\n33365 50177\n47164 70800\n47739 71671\n16406 24665\n35921 53997\n12022 18128\n16513 24825\n52629 79004\n5628 8448\n36787 55314\n26888 40407\n62891 94402\n49612 74506\n4515 6773\n38752 58265\n92920 100000\n56124 84238\n50245 75441\n59940 89981\n1318 1986\n95074 100000\n34382 51698\n5686 8531\n40982 61557\n55909 83916\n40434 60735\n94037 100000\n50105 75225\n94121 100000\n69798 100000\n11276 16980\n36339 54651\n38768 58289\n22475 33807\n31338 47123\n7586 11437\n12162 18331\n36814 55352\n89881 100000\n48603 73002\n86145 100000\n87199 100000\n26577 39928\n19244 28947\n85955 100000\n56774 85201\n79385 100000\n65713 98566\n36380 54714\n65179 97777\n25811 38794\n97990 100000\n78431 100000\n26249 39446\n34165 51379\n66361 99557\n7521 11335\n54124 81239\n73973 100000\n30016 45100\n19815 29801\n53267 79943\n58850 88344\n73459 100000\n42278 63497\n19526 29365\n49125 73772\n40639 61048\n99805 100000\n93421 100000\n77376 100000\n36358 54678\n21782 32764\n53737 80646\n3755 5634\n54128 81244\n41071 61685\n61927 92950\n89455 100000\n71402 100000\n81194 100000\n80215 100000\n15724 23625\n98618 100000\n71210 100000\n17368 26125\n90036 100000\n99510 100000\n8611 12977\n38886 58462\n86538 100000\n10943 16481\n67042 100000\n71695 100000\n86247 100000\n71762 100000\n53972 81007\n49482 74305\n71412 100000\n9454 14247\n99119 100000\n62923 94450\n30304 45533\n65339 98009\n18772 28247\n6101 9158\n10973 16522\n93324 100000\n25139 37799\n10627 16004\n92250 100000\n54004 81054\n614 937\n93611 100000\n64043 96093\n83921 100000\n48576 72962\n42197 63371\n14696 22127\n487 733\n62572 93920\n43993 66066\n86686 100000\n85036 100000\n7008 10556\n14641 22045\n98472 100000\n44302 66517\n81591 100000\n12011 18110\n27157 40809\n96245 100000\n99171 100000\n80071 100000\n72567 100000\n89908 100000\n96217 100000\n52592 78952\n20802 31304\n96546 100000\n36857 55422\n60577 90924\n76348 100000\n61811 92777\n83162 100000\n57888 86881\n5282 7939\n41864 62885\n77258 100000\n32380 48704\n50250 75449\n99946 100000\n73776 100000\n47841 71821\n87876 100000\n66449 99691\n32813 49363\n24651 37075\n77502 100000\n83521 100000\n87332 100000\n65740 98607\n86352 100000\n48614 73018\n70247 100000\n53000 79554\n6083 9128\n80333 100000\n12610 18990\n9102 13706\n71383 100000\n87229 100000\n60467 90761\n24896 37436\n92464 100000\n61900 92912\n43617 65507\n29446 44253\n14322 21571\n45370 68121\n60238 90416\n61955 92993\n98610 100000\n29206 43894\n15522 23333\n40890 61423\n56316 84526\n30268 45483\n90536 100000\n72278 100000\n20762 31242\n45918 68939\n41301 62030\n94310 100000\n58352 87591\n83902 100000\n99284 100000\n18504 27844\n78772 100000\n93732 100000\n12399 18684\n94871 100000\n88436 100000\n67133 100000\n76926 100000\n29722 44673\n96264 100000\n39197 58914\n32817 49371\n55242 82910\n3736 5604\n81167 100000\n66425 99656\n44127 66266\n89832 100000\n36542 54953\n83523 100000\n63423 95187\n3073 4637\n42577 63951\n77446 100000\n2365 3575\n10951 16493\n18256 27472\n55536 83356\n61097 91718\n53236 79897\n30731 46195\n95324 100000\n59007 88579\n68925 100000\n60098 90212\n26632 40009\n81804 100000\n77202 100000\n39471 59324\n41265 61978\n95551 100000\n87920 100000\n64528 96812\n87545 100000\n60445 90731\n83267 100000\n40053 60169\n70516 100000\n10479 15788\n37697 56682\n27700 41631\n13803 20779\n3014 4548\n90519 100000\n93685 100000\n90720 100000\n92445 100000\n9897 14898\n92848 100000\n42540 63893\n24322 36575\n33147 49866\n77474 100000\n99497 100000\n17354 26105\n85480 100000\n38465 57838\n14088 21200\n55633 83499\n42433 63729\n7143 10764\n80582 100000\n95486 100000\n16565 24905\n5430 8158\n18032 27136\n96470 100000\n18010 27100\n45369 68119\n48954 73513\n2965 4474\n30922 46480\n13275 19990\n91611 100000\n81560 100000\n88539 100000\n85432 100000\n67652 100000\n50702 76111\n65209 97821\n88385 100000\n86215 100000\n97875 100000\n77507 100000\n8540 12873\n78360 100000\n66503 99768\n8852 13330\n284 426\n17872 26894\n10579 15930\n57947 86970\n56103 84208\n19334 29080\n22857 34375\n13224 19911\n14202 21382\n28199 42364\n10757 16201\n74551 100000\n75216 100000\n13206 19887\n59098 88715\n38671 58140\n39413 59237\n65419 98124\n92289 100000\n89329 100000\n95299 100000\n70235 100000\n19226 28918\n40661 61081\n79587 100000\n27394 41171\n42031 63128\n98993 100000\n72426 100000\n57680 86569\n96915 100000\n81872 100000\n47999 72074\n53843 80815\n27303 41032\n23743 35721\n90166 100000\n94284 100000\n69051 100000\n95718 100000\n4696 7047\n77085 100000\n23385 35170\n676 1028\n40963 61530\n70502 100000\n99125 100000\n16299 24507\n64487 96750\n50874 76362\n13753 20701\n62654 94042\n69400 100000\n45962 69006\n42901 64433\n81066 100000\n83444 100000\n70702 100000\n32287 48569\n33464 50322\n6862 10323\n94574 100000\n95933 100000\n52467 78765\n51046 76621\n4386 6581\n83502 100000\n24624 37032\n24654 37080\n83960 100000\n32989 49629\n94839 100000\n49155 73816\n77026 100000\n62216 93383\n13168 19831\n51470 77261\n79993 100000\n19524 29363\n86655 100000\n6779 10198\n51533 77352\n24581 36966\n73647 100000\n44283 66487\n41274 61989\n11851 17870\n71198 100000\n12098 18244\n37400 56239\n23682 35626\n92270 100000\n89785 100000\n54396 81645\n26873 40384\n67312 100000\n95868 100000\n88716 100000\n56362 84588\n89266 100000\n25043 37658\n31705 47683\n4269 6404\n23402 35195\n6454 9709\n42568 63936\n24161 36343\n14207 21390\n16960 25503\n57536 86351\n94623 100000\n27199 40872\n93998 100000\n17012 25578\n98982 100000\n38943 58551\n11203 16869\n31965 48066\n17864 26879\n21330 32089\n33682 50648\n17948 27006\n61191 91857\n2811 4245\n46195 69359\n44585 66926\n83406 100000\n47637 71514\n75399 100000\n4468 6703\n89296 100000\n76998 100000\n86195 100000\n8805 13263\n9052 13633\n89838 100000\n3280 4941\n34510 51880\n4967 7449\n90092 100000\n606 923\n11613 17505\n36454 54824\n68003 100000\n5376 8078\n32013 48138\n41487 62321\n10439 15736\n89540 100000\n21881 32918\n90126 100000\n95949 100000\n90629 100000\n21925 32982\n35329 53111\n91651 100000\n59444 89245\n11806 17806\n51645 77519\n84976 100000\n65299 97952\n7207 10860\n18523 27871\n69551 100000\n70888 100000\n52949 79479\n72606 100000\n13422 20210\n42696 64133\n48583 72973\n93857 100000\n82640 100000\n24314 36565\n80102 100000\n52636 79016\n82495 100000\n60627 91004\n37447 56311\n21312 32065\n53898 80899\n22172 33353\n46645 70028\n30770 46250\n22443 33755\n85186 100000\n66078 99127\n79048 100000\n55965 84004\n24473 36802\n51336 77065\n6733 10126\n89232 100000\n72031 100000\n70865 100000\n10129 15255\n50749 76180\n67984 100000\n36591 55024\n20140 30299\n7255 10931\n98118 100000\n27534 41381\n31074 46715\n59417 89208\n12575 18941\n59137 88773\n32564 48984\n19583 29453\n51870 77859\n36851 55411\n59180 88838\n88570 100000\n61368 92115\n95948 100000\n2720 4111\n7722 11641\n8515 12835\n75541 100000\n7859 11840\n22572 33949\n42156 63310\n77462 100000\n74257 100000\n14982 22553\n774 1174\n46413 69688\n33363 50174\n67809 100000\n56020 84089\n75502 100000\n82766 100000\n62610 93979\n90646 100000\n65929 98892\n21039 31651\n25652 38560\n5158 7746\n60776 91230\n64963 97456\n89705 100000\n70637 100000\n61301 92018\n30988 46585\n14631 22029\n72526 100000\n1047 1586\n52914 79425\n13239 19932\n18208 27402\n56872 85353\n69853 100000\n97677 100000\n13366 20131\n10233 15413\n84403 100000\n34787 52303\n4858 7293\n32556 48970\n74806 100000\n44721 67126\n4783 7176\n20561 30938\n33795 50819\n95590 100000\n23981 36078\n60376 90626\n53217 79871\n26995 40559\n84414 100000\n99859 100000\n26135 39275\n21848 32865\n15091 22721\n94066 100000\n81051 100000\n34882 52449\n44738 67153\n80027 100000\n52729 79153\n9076 13666\n21555 32411\n85950 100000\n63041 94623\n40198 60391\n1870 2835\n19591 29461\n85779 100000\n48217 72415\n16541 24868\n99351 100000\n51269 76958\n96673 100000\n78519 100000\n58774 88229\n97268 100000\n40099 60243\n57036 85599\n43393 65167\n73753 100000\n42277 63495\n56145 84266\n15394 23144\n40438 60741\n69913 100000\n78505 100000\n51276 76970\n13569 20424\n18412 27705\n62586 93943\n7967 12001\n24837 37350\n57360 86085\n44173 66336\n89278 100000\n5064 7601\n85577 100000\n76509 100000\n30161 45319\n94969 100000\n88915 100000\n68080 100000\n19372 29139\n97056 100000\n74946 100000\n89377 100000\n53692 80576\n65169 97762\n49192 73874\n57692 86591\n86615 100000\n8299 12511\n45457 68252\n67830 100000\n52925 79442\n41083 61706\n60479 90778\n60716 91136\n5944 8926\n83813 100000\n1915 2896\n70324 100000\n3866 5805\n28528 42868\n13997 21076\n22772 34247\n14536 21892\n19994 30075\n38453 57819\n53038 79607\n85614 100000\n36991 55628\n72260 100000\n83269 100000\n46309 69533\n21946 33015\n25747 38704\n12779 19247\n15110 22747\n69003 100000\n43296 65019\n72069 100000\n47565 71402\n56881 85366\n16424 24692\n87841 100000\n35223 52950\n47729 71656\n27855 41861\n90615 100000\n97930 100000\n67198 100000\n78684 100000\n50158 75306\n74841 100000\n86450 100000\n62101 93210\n44294 66504\n39085 58763\n41808 62799\n38327 57628\n56473 84746\n67744 100000\n19338 29086\n28039 42129\n10431 15723\n90642 100000\n71780 100000\n40588 60970\n216 321\n74389 100000\n68770 100000\n47262 70948\n3375 5082\n37349 56162\n56072 84166\n94446 100000\n68958 100000\n8641 13021\n85585 100000\n4681 7022\n17058 25652\n40215 60416\n80666 100000\n74681 100000\n1526 2307\n39333 59124\n13708 20630\n80047 100000\n33236 49990\n11242 16931\n8574 12925\n69584 100000\n11407 17176\n16532 24855\n53084 79673\n9156 13786\n87477 100000\n99347 100000\n97490 100000\n56978 85511\n99589 100000\n1630 2466\n56928 85432\n43452 65258\n95687 100000\n53536 80347\n80045 100000\n46585 69943\n79446 100000\n62070 93162\n28656 43065\n28413 42693\n87933 100000\n55631 83497\n70503 100000\n24111 36265\n7624 11492\n7594 11450\n61280 91990\n86177 100000\n17813 26800\n78259 100000\n926 1406\n12036 18149\n20089 30224\n71524 100000\n53159 79785\n51089 76689\n34560 51951\n70274 100000\n59578 89435\n17222 25897\n7241 10909\n8476 12777\n27085 40702\n58516 87832\n16603 24962\n70826 100000\n75238 100000\n5870 8810\n72568 100000\n54118 81229\n97442 100000\n22071 33199\n16770 25213\n20569 30950\n56428 84684\n61798 92759\n6470 9729\n87485 100000\n18433 27738\n52538 78874\n52682 79088\n92978 100000\n40672 61100\n16148 24280\n99720 100000\n77595 100000\n78531 100000\n37506 56399\n87924 100000\n38077 57238\n58245 87422\n89364 100000\n87420 100000\n55239 82905\n53319 80022\n23528 35382\n99296 100000\n65062 97598\n13934 20984\n43647 65549\n51923 77943\n94254 100000\n92690 100000\n78357 100000\n88529 100000\n12333 18585\n57535 86349\n9738 14664\n61537 92371\n36209 54445\n65510 98270\n89049 100000\n74167 100000\n84033 100000\n5411 8131\n45726 68649\n41020 61612\n18545 27899\n93620 100000\n80909 100000\n9063 13652\n4154 6234\n73289 100000\n95783 100000\n37912 57004\n80435 100000\n58407 87668\n12314 18557\n52233 78413\n26603 39966\n59302 89029\n34006 51143\n72289 100000\n56634 84980\n53837 80805\n96012 100000\n27025 40611\n41511 62357\n53609 80454\n42424 63714\n60546 90876\n9825 14787\n98954 100000\n69833 100000\n63974 95991\n61130 91765\n49922 74963\n8947 13476\n49294 74026\n4417 6630\n34148 51355\n69245 100000\n66050 99082\n57151 85777\n16558 24894\n71943 100000\n402 603\n74300 100000\n40990 61568\n51096 76700\n8865 13348\n43773 65741\n84032 100000\n87443 100000\n1412 2126\n59195 88859\n70053 100000\n9801 14759\n23598 35493\n17230 25909\n83912 100000\n74154 100000\n9733 14658\n86056 100000\n80761 100000\n38223 57466\n64360 96558\n89768 100000\n8858 13338\n72464 100000\n38361 57676\n24326 36580\n21811 32811\n43827 65819\n83861 100000\n2920 4407\n57252 85927\n40266 60487\n86055 100000\n67664 100000\n53809 80763\n53455 80226\n17852 26858\n39207 58926\n8014 12075\n1272 1919\n42454 63764\n46420 69699\n72491 100000\n15690 23579\n48698 73145\n29342 44096\n74579 100000\n50927 76445\n92380 100000\n17909 26947\n64278 96442\n29405 44191\n90435 100000\n92663 100000\n61320 92045\n27400 41180\n45924 68947\n88028 100000\n72813 100000\n92453 100000\n87303 100000\n50208 75386\n85254 100000\n53158 79783\n44166 66326\n25857 38868\n87284 100000\n55179 82822\n36079 54242\n65067 97606\n81542 100000\n20590 30986\n6066 9105\n67557 100000\n75734 100000\n99173 100000\n10465 15768\n43130 64763\n12316 18560\n34556 51943\n78420 100000\n85258 100000\n82644 100000\n31944 48036\n64685 97050\n92006 100000\n50471 75774\n39439 59278\n35826 53854\n88182 100000\n24949 37512\n56400 84645\n89303 100000\n24445 36757\n73406 100000\n71625 100000\n62830 94313\n58597 87959\n37529 56436\n81924 100000\n75764 100000\n59892 89904\n94603 100000\n56508 84798\n57206 85862\n57751 86678\n10787 16246\n86167 100000\n94146 100000\n92755 100000\n56864 85341\n68380 100000\n29409 44198\n45364 68113\n70735 100000\n65680 98519\n45475 68281\n20667 31095\n4124 6189\n68889 100000\n17753 26709\n57120 85730\n91676 100000\n54577 81913\n52992 79545\n11038 16619\n27156 40808\n20606 31006\n11447 17244\n7300 11002\n87473 100000\n62207 93368\n17775 26743\n16279 24479\n38101 57273\n33198 49936\n66176 99276\n79618 100000\n26694 40104\n84142 100000\n69770 100000\n90743 100000\n53747 80662\n42701 64142\n66501 99765\n58547 87879\n81931 100000\n3988 5990\n96543 100000\n51995 78056\n8803 13259\n14863 22380\n47604 71462\n90416 100000\n32570 48996\n24245 36464\n63237 94913\n58835 88325\n90103 100000\n81691 100000\n62871 94372\n63525 95334\n38385 57710\n88202 100000\n93204 100000\n25143 37806\n68593 100000\n87509 100000\n86642 100000\n80692 100000\n94108 100000\n40108 60257\n69406 100000\n25688 38615\n85635 100000\n63833 95787\n40711 61155\n22462 33788\n78071 100000\n76482 100000\n60133 90266\n3623 5432\n24325 36579\n11288 16998\n32870 49448\n19773 29734\n63586 95431\n68504 100000\n96355 100000\n50190 75356\n11627 17527\n61883 92885\n23000 34587\n96024 100000\n71146 100000\n70081 100000\n47531 71352\n55299 83002\n36297 54585\n21769 32746\n50030 75125\n53368 80095\n24323 36577\n36135 54326\n3845 5769\n32688 49173\n94238 100000\n2592 3912\n63399 95148\n78068 100000\n91040 100000\n72212 100000\n29418 44213\n44665 67046\n40161 60337\n58159 87292\n93633 100000\n19891 29916\n49197 73882\n43669 65585\n76834 100000\n57587 86431\n47453 71239\n58912 88436\n8412 12682\n50240 75434\n90797 100000\n61912 92930\n77040 100000\n88656 100000\n91582 100000\n3045 4595\n41333 62078\n13428 20217\n95643 100000\n9991 15041\n65105 97661\n98990 100000\n6593 9909\n22191 33381\n15201 22868\n97 145\n45356 68099\n36302 54592\n81893 100000\n14787 22266\n32979 49613\n53492 80283\n15227 22908\n95696 100000\n60201 90359\n12349 18611\n56832 85292\n42486 63813\n60196 90351\n11558 17417\n31987 48103\n81198 100000\n39118 58807\n60288 90494\n22681 34113\n93212 100000\n93910 100000\n49920 74961\n4820 7236\n74628 100000\n28860 43373\n63717 95616\n5040 7567\n74043 100000\n12951 19511\n45341 68074\n71382 100000\n76364 100000\n79028 100000\n89160 100000\n25950 39004\n82012 100000\n78477 100000\n2607 3937\n84609 100000\n78685 100000\n93240 100000\n63112 94734\n22905 34447\n53625 80479\n37732 56741\n96684 100000\n23141 34801\n62719 94139\n48332 72593\n36341 54654\n28236 42421\n48285 72520\n95460 100000\n48036 72132\n6786 10209\n1804 2739\n7799 11754\n54772 82208\n93311 100000\n26567 39915\n80393 100000\n22460 33785\n69809 100000\n22929 34477\n89120 100000\n11040 16622\n65163 97751\n46429 69712\n25411 38205\n32815 49367\n11838 17850\n28298 42514\n92129 100000\n50704 76114\n37090 55779\n75251 100000\n20407 30707\n52301 78515\n72419 100000\n3814 5726\n20585 30976\n90157 100000\n7537 11363\n46048 69136\n21050 31670\n36311 54607\n16553 24887\n76065 100000\n6042 9071\n20673 31106\n40157 60332\n18263 27485\n23208 34898\n85348 100000\n43626 65521\n70144 100000\n36441 54804\n71238 100000\n50880 76370\n62682 94085\n7808 11765\n12811 19295\n83207 100000\n59480 89298\n29000 43583\n68021 100000\n58658 88047\n42410 63695\n11796 17789\n53091 79684\n70568 100000\n45593 68450\n41190 61863\n34263 51524\n2807 4239\n26337 39580\n797 1209\n86489 100000\n27182 40845\n9675 14574\n10264 15462\n54832 82296\n22794 34278\n83614 100000\n98094 100000\n67044 100000\n26755 40204\n18735 28191\n82752 100000\n58471 87766\n12557 18911\n46475 69786\n55324 83039\n5286 7947\n76508 100000\n45372 68124\n8895 13396\n35189 52898\n19264 28976\n73048 100000\n53063 79644\n85819 100000\n58901 88420\n79985 100000\n1874 2839\n20555 30931\n4332 6500\n44867 67345\n9709 14623\n60343 90578\n59023 88603\n860 1306\n89484 100000\n61330 92060\n36942 55550\n10330 15567\n526 799\n15810 23759\n31235 46967\n77455 100000\n7952 11983\n69886 100000\n15010 22597\n59453 89259\n45518 68338\n76109 100000\n88976 100000\n30631 46039\n28909 43444\n46327 69561\n13628 20514\n68861 100000\n49084 73711\n95887 100000\n72754 100000\n10798 16261\n73476 100000\n55188 82836\n27384 41154\n8124 12241\n73565 100000\n72507 100000\n55313 83023\n41361 62122\n42487 63814\n75298 100000\n15451 23230\n39375 59186\n71361 100000\n37544 56455\n46904 70429\n55393 83138\n84507 100000\n23845 35878\n32982 49618\n57647 86520\n21642 32555\n7447 11219\n17324 26055\n96787 100000\n25589 38463\n14840 22346\n71674 100000\n59256 88956\n75906 100000\n25202 37894\n43701 65630\n98503 100000\n73908 100000\n63446 95214\n85940 100000\n35817 53841\n34779 52292\n17463 26263\n58310 87527\n32340 48648\n76115 100000\n2352 3557\n42038 63138\n52699 79112\n96767 100000\n19269 28984\n37015 55664\n9212 13872\n99915 100000\n63667 95549\n50244 75440\n24642 37061\n27649 41555\n67836 100000\n80095 100000\n80252 100000\n42456 63767\n80437 100000\n13156 19815\n49250 73963\n99778 100000\n64984 97483\n16625 24998\n18685 28114\n23275 34997\n1449 2184\n64777 97188\n48311 72562\n66872 100000\n45661 68551\n14824 22326\n3320 4998\n87666 100000\n64930 97408\n18426 27726\n18843 28357\n80391 100000\n76264 100000\n43623 65517\n18092 27227\n1346 2028\n79579 100000\n63794 95729\n7667 11558\n48695 73140\n40954 61517\n75589 100000\n85916 100000\n31862 47916\n63906 95891\n76653 100000\n36606 55048\n41715 62659\n60750 91187\n12952 19513\n37121 55823\n18033 27137\n77997 100000\n21757 32727\n82647 100000\n24423 36726\n86942 100000\n59988 90049\n99817 100000\n65162 97750\n80126 100000\n17295 26009\n55953 83984\n40189 60380\n94004 100000\n77413 100000\n28414 42695\n81223 100000\n14070 21178\n80969 100000\n83794 100000\n19382 29153\n38411 57753\n23609 35509\n9545 14378\n95365 100000\n16912 25429\n9313 14033\n6351 9538\n52443 78733\n95544 100000\n81813 100000\n72789 100000\n77975 100000\n88985 100000\n50479 75785\n94032 100000\n94122 100000\n71804 100000\n98515 100000\n30869 46399\n29143 43794\n2017 3045\n72816 100000\n24474 36803\n25124 37778\n69087 100000\n78354 100000\n36593 55027\n29124 43767\n61783 92736\n53836 80803\n25478 38305\n83625 100000\n49860 74870\n78094 100000\n55798 83756\n81890 100000\n72320 100000\n84805 100000\n38707 58194\n14694 22124\n32339 48647\n90976 100000\n55244 82913\n76193 100000\n51452 77233\n69352 100000\n76626 100000\n42880 64400\n66792 100000\n26461 39763\n43882 65901\n74616 100000\n73153 100000\n96874 100000\n16664 25057\n19914 29948\n51853 77831\n28678 43095\n25325 38073\n85536 100000\n53013 79570\n49293 74025\n70859 100000\n64838 97278\n82029 100000\n72487 100000\n11267 16968\n7341 11059\n9363 14112\n91064 100000\n56853 85324\n96365 100000\n90274 100000\n61685 92588\n38448 57811\n97511 100000\n89150 100000\n37055 55721\n64845 97289\n10862 16354\n60087 90196\n99504 100000\n10729 16158\n69180 100000\n48644 73059\n59982 90040\n96231 100000\n94034 100000\n20657 31081\n51950 77981\n79416 100000\n2515 3799\n12462 18779\n76085 100000\n9476 14279\n70424 100000\n5683 8527\n7079 10665\n5031 7551\n38034 57178\n63855 95822\n63846 95808\n79057 100000\n18756 28223\n14050 21151\n97115 100000\n18883 28416\n4721 7083\n78124 100000\n39960 60032\n67026 100000\n11010 16578\n28951 43508\n76053 100000\n55936 83958\n26662 40053\n17738 26686\n80948 100000\n92584 100000\n75746 100000\n2298 3472\n35638 53569\n38396 57730\n43533 65378\n36196 54422\n35318 53096\n10324 15559\n48835 73343\n11589 17467\n12260 18471\n17806 26789\n41126 61771\n78808 100000\n58474 87770\n4280 6424\n36702 55190\n82001 100000\n19088 28724\n8772 13213\n91038 100000\n23047 34655\n84284 100000\n15726 23627\n40621 61023\n44080 66195\n12284 18509\n17327 26061\n51811 77766\n35743 53732\n48810 73301\n33252 50017\n14481 21810\n5773 8659\n2286 3454\n83957 100000\n63363 95095\n18776 28255\n90520 100000\n22902 34443\n32071 48227\n28786 43257\n72038 100000\n23801 35809\n28586 42959\n92287 100000\n20379 30666\n80534 100000\n95864 100000\n78427 100000\n79107 100000\n37808 56847\n4162 6246\n65571 98354\n28539 42886\n7958 11990\n12555 18909\n82042 100000\n15670 23552\n33702 50678\n36688 55171\n76992 100000\n42303 63535\n6750 10154\n36345 54660\n79795 100000\n7457 11236\n59797 89766\n27339 41085\n42479 63802\n47582 71427\n6743 10143\n41268 61981\n76982 100000\n89504 100000\n3688 5531\n56156 84283\n36420 54774\n49065 73681\n3161 4770\n23196 34880\n33261 50029\n25229 37929\n94907 100000\n83403 100000\n89334 100000\n94963 100000\n9996 15048\n69239 100000\n77962 100000\n63882 95856\n56825 85279\n85001 100000\n23665 35597\n54351 81583\n79289 100000\n8767 13204\n30782 46267\n11138 16773\n1896 2870\n71363 100000\n15321 23040\n84947 100000\n7015 10567\n98768 100000\n96623 100000\n18052 27167\n93913 100000\n37187 55918\n81396 100000\n67000 100000\n98046 100000\n20490 30835\n50196 75365\n26921 40454\n23667 35600\n42145 63292\n84514 100000\n46508 69834\n84134 100000\n84530 100000\n30344 45592\n93220 100000\n2912 4396\n24472 36800\n25593 38469\n58367 87612\n40095 60237\n60591 90945\n45399 68163\n31629 47569\n55613 83472\n36812 55349\n43247 64943\n57247 85919\n63663 95543\n673 1024\n40794 61278\n51641 77512\n48925 73470\n43572 65437\n525 798\n53356 80076\n43422 65213\n73353 100000\n50456 75750\n6094 9145\n59468 89279\n78081 100000\n26009 39087\n14820 22319\n9426 14205\n3223 4862\n7538 11364\n8478 12779\n76604 100000\n50424 75702\n80540 100000\n73868 100000\n20191 30373\n43698 65626\n38084 57247\n6332 9508\n53824 80783\n20814 31323\n30446 45749\n31436 47273\n56741 85148\n38993 58631\n44692 67087\n21572 32440\n33516 50402\n70035 100000\n44848 67317\n1164 1760\n79424 100000\n75602 100000\n14486 21816\n73673 100000\n72040 100000\n50501 75814\n40219 60421\n5212 7829\n41009 61593\n24516 36869\n61090 91708\n5468 8210\n44831 67294\n52137 78266\n86456 100000\n58222 87383\n50553 75892\n92144 100000\n302 451\n33611 50542\n58655 88043\n58317 87538\n98457 100000\n52494 78807\n81504 100000\n13418 20202\n29998 45075\n68654 100000\n15232 22914\n59054 88648\n3432 5160\n69320 100000\n47250 70928\n96695 100000\n72972 100000\n54344 81574\n40734 61192\n23251 34960\n16419 24685\n65515 98277\n8557 12899\n24648 37070\n40553 60912\n18686 28116\n45577 68429\n4711 7068\n76969 100000\n80917 100000\n71821 100000\n24021 36133\n72226 100000\n47342 71072\n83418 100000\n67617 100000\n86803 100000\n97564 100000\n20894 31444\n92360 100000\n11886 17923\n16320 24537\n36089 54257\n35140 52824\n53606 80449\n48601 72999\n40094 60235\n73919 100000\n6203 9310\n59513 89342\n6644 9990\n33988 51113\n2805 4235\n72790 100000\n23943 36029\n82455 100000\n13161 19823\n41304 62035\n2194 3311\n42136 63277\n61168 91819\n58997 88562\n899 1364\n8814 13278\n88000 100000\n55443 83215\n96507 100000\n15804 23750\n64094 96167\n56137 84257\n30294 45516\n69029 100000\n64517 96795\n21233 31942\n17490 26304\n7320 11027\n37298 56089\n84226 100000\n16203 24365\n19995 30076\n21575 32446\n9024 13592\n23811 35825\n85164 100000\n39079 58754\n94461 100000\n72265 100000\n48024 72111\n13599 20469\n72652 100000\n64541 96833\n15506 23312\n14123 21253\n35692 53653\n97493 100000\n45910 68929\n74512 100000\n18633 28028\n75712 100000\n47550 71383\n2527 3817\n57079 85667\n45683 68583\n33351 50157\n10997 16557\n83186 100000\n25259 37977\n19405 29188\n5781 8672\n74187 100000\n17090 25697\n48406 72704\n12741 19191\n12278 18501\n63670 95553\n2141 3227\n73694 100000\n33186 49920\n83852 100000\n30317 45553\n12729 19169\n50586 75939\n51085 76683\n83101 100000\n26395 39666\n89476 100000\n61139 91777\n10977 16527\n84839 100000\n97669 100000\n52704 79120\n28990 43568\n2643 3995\n29451 44260\n27424 41219\n42131 63271\n58810 88285\n21142 31803\n38784 58313\n1134 1715\n95125 100000\n16225 24397\n71424 100000\n99158 100000\n47626 71496\n10277 15484\n71333 100000\n83069 100000\n58689 88097\n49611 74504\n47019 70591\n64616 96944\n21824 32829\n12238 18437\n67339 100000\n36121 54305\n36068 54224\n17095 25704\n66179 99280\n47233 70907\n36755 55266\n41455 62266\n14843 22350\n65338 98008\n72017 100000\n71094 100000\n52975 79520\n4843 7270\n9153 13781\n91368 100000\n49443 74244\n39916 59967\n5170 7765\n15084 22709\n44234 66416\n14898 22429\n29261 43973\n35799 53813\n49661 74574\n11277 16982\n83569 100000\n92264 100000\n55480 83271\n95854 100000\n69819 100000\n74663 100000\n53966 80997\n94406 100000\n84487 100000\n62739 94172\n51231 76900\n93458 100000\n80676 100000\n27306 41038\n73714 100000\n83601 100000\n33 46\n17214 25886\n18498 27834\n52751 79183\n80 117\n9412 14182\n31345 47133\n33954 51060\n21538 32386\n408 614\n31672 47633\n45286 67992\n76616 100000\n45129 67751\n93448 100000\n81525 100000\n74025 100000\n99869 100000\n76346 100000\n65616 98421\n21903 32950\n60777 91231\n80637 100000\n6503 9778\n73240 100000\n13704 20625\n70399 100000\n88523 100000\n67314 100000\n58936 88472\n49906 74938\n39839 59857\n10515 15844\n21657 32575\n11436 17226\n96525 100000\n66187 99290\n23479 35308\n49509 74349\n98322 100000\n11569 17434\n37002 55646\n45959 69001\n67618 100000\n74790 100000\n8083 12182\n6343 9524\n45508 68324\n77538 100000\n44733 67144\n32981 49617\n19846 29851\n9289 13996\n4254 6382\n79145 100000\n83114 100000\n97029 100000\n75940 100000\n17784 26756\n72629 100000\n78327 100000\n36620 55067\n14926 22470\n65292 97940\n35346 53136\n280 419\n12994 19574\n43151 64794\n15168 22824\n87027 100000\n27790 41769\n65706 98558\n56908 85405\n90691 100000\n33086 49772\n52087 78192\n12964 19528\n2157 3253\n99150 100000\n25680 38603\n83188 100000\n17880 26906\n35079 52734\n27698 41629\n20928 31495\n76080 100000\n95009 100000\n26635 40013\n3605 5408\n10845 16329\n57375 86109\n82577 100000\n1911 2889\n61306 92024\n69756 100000\n66072 99118\n70166 100000\n94368 100000\n95537 100000\n60332 90562\n87032 100000\n10381 15645\n14400 21688\n37724 56727\n39724 59696\n56412 84660\n11739 17706\n32690 49176\n2241 3384\n52922 79438\n5806 8713\n79220 100000\n90508 100000\n18959 28530\n40166 60346\n27636 41537\n73252 100000\n92321 100000\n41512 62358\n60727 91152\n9160 13793\n54251 81434\n50175 75331\n21089 31727\n40102 60247\n98364 100000\n21171 31850\n45688 68593\n67262 100000\n17192 25850\n6058 9092\n1072 1619\n74445 100000\n14420 21718\n3141 4739\n60266 90463\n48964 73527\n19063 28686\n30487 45813\n95781 100000\n85435 100000\n63621 95480\n87641 100000\n18370 27642\n49639 74546\n30880 46415\n81244 100000\n79459 100000\n73359 100000\n96965 100000\n19061 28683\n38545 57959\n3318 4994\n77306 100000\n72594 100000\n73644 100000\n93026 100000\n86755 100000\n85938 100000\n89210 100000\n87071 100000\n30462 45777\n46008 69081\n2493 3767\n38052 57203\n74565 100000\n72482 100000\n79504 100000\n14797 22283\n67004 100000\n76737 100000\n23297 35030\n96763 100000\n5894 8849\n78766 100000\n27041 40632\n53310 80008\n52106 78222\n35951 54041\n57917 86926\n13457 20263\n19402 29184\n59802 89774\n69396 100000\n76665 100000\n35372 53175\n33552 50457\n60344 90580\n77921 100000\n28531 42872\n46879 70393\n16814 25277\n12440 18747\n30416 45705\n61263 91964\n21114 31762\n22959 34524\n31114 46780\n99364 100000\n74727 100000\n29570 44443\n41769 62736\n99900 100000\n22954 34517\n43127 64758\n12272 18489\n33355 50163\n61855 92842\n98355 100000\n19345 29094\n50152 75298\n16579 24925\n62778 94233\n9146 13771\n26546 39885\n459 691\n47717 71639\n6374 9580\n35644 53578\n77624 100000\n58833 88323\n46068 69165\n74514 100000\n73000 100000\n60923 91458\n69688 100000\n66383 99590\n49859 74868\n70218 100000\n63000 94564\n86573 100000\n52340 78575\n45658 68546\n75142 100000\n67592 100000\n89781 100000\n91436 100000\n32350 48661\n3462 5199\n94276 100000\n76329 100000\n8260 12449\n13685 20597\n34514 51885\n57540 86356\n70289 100000\n76845 100000\n57453 86225\n68854 100000\n58131 87251\n70292 100000\n86218 100000\n44441 66714\n71168 100000\n53997 81045\n73265 100000\n42020 63111\n70582 100000\n75034 100000\n92064 100000\n97854 100000\n62452 93736\n58490 87793\n47034 70615\n16524 24842\n6788 10212\n36383 54720\n41346 62098\n24375 36655\n78538 100000\n66525 99800\n21002 31602\n32879 49464\n4757 7135\n21573 32442\n156 232\n77501 100000\n85853 100000\n68251 100000\n84810 100000\n37600 56535\n14436 21742\n55785 83736\n52760 79198\n90782 100000\n28571 42933\n85059 100000\n17207 25874\n38579 58006\n5787 8682\n3955 5938\n76099 100000\n60017 90092\n49950 75008\n69262 100000\n78407 100000\n76289 100000\n37326 56132\n24587 36976\n49316 74057\n65185 97786\n6829 10275\n31370 47170\n87867 100000\n83708 100000\n17328 26063\n37355 56171\n66625 99953\n21708 32657\n63492 95280\n20346 30615\n4622 6936\n77077 100000\n90237 100000\n77447 100000\n28875 43393\n99605 100000\n35139 52823\n27678 41596\n99253 100000\n13542 20385\n93712 100000\n49540 74394\n13572 20429\n47769 71715\n41771 62739\n80576 100000\n29989 45061\n75598 100000\n28097 42214\n91847 100000\n7550 11382\n35263 53010\n53070 79653\n36934 55539\n81848 100000\n44500 66796\n93677 100000\n32480 48852\n26931 40468\n8821 13289\n21767 32744\n93277 100000\n32518 48916\n99931 100000\n42368 63636\n71490 100000\n33658 50611\n25404 38192\n20772 31256\n85637 100000\n79862 100000\n49015 73603\n23606 35504\n63596 95445\n94535 100000\n16771 25214\n69683 100000\n47891 71900\n84962 100000\n93265 100000\n33444 50294\n8753 13182\n9857 14835\n61671 92571\n58396 87654\n95832 100000\n14460 21776\n74519 100000\n18140 27302\n3431 5159\n75224 100000\n11562 17423\n43149 64792\n56865 85342\n66821 100000\n12530 18874\n92691 100000\n88046 100000\n71518 100000\n60110 90231\n48017 72100\n97638 100000\n97009 100000\n60551 90884\n24052 36177\n81166 100000\n17079 25684\n70026 100000\n65850 98772\n56585 84910\n16033 24103\n24524 36880\n16145 24274\n3965 5955\n41128 61773\n90330 100000\n30072 45183\n87045 100000\n59921 89949\n54864 82340\n52835 79307\n30056 45158\n11893 17935\n51728 77643\n53661 80531\n63374 95112\n48793 73278\n33080 49764\n76330 100000\n67863 100000\n12710 19140\n30348 45598\n54067 81144\n15887 23880\n57279 85965\n45664 68554\n36061 54214\n51591 77437\n96894 100000\n41199 61877\n9830 14794\n2210 3337\n37520 56422\n4463 6695\n26596 39955\n83846 100000\n15597 23448\n22065 33192\n75789 100000\n5617 8435\n98781 100000\n39840 59858\n2339 3536\n81277 100000\n74876 100000\n41357 62115\n62985 94538\n5930 8904\n56797 85236\n38043 57190\n66271 99424\n80293 100000\n74104 100000\n33982 51104\n43636 65533\n39919 59971\n58917 88442\n66920 100000\n6024 9041\n50991 76539\n91700 100000\n64790 97209\n97481 100000\n26941 40480\n29756 44721\n51905 77917\n45381 68138\n40221 60424\n17011 25577\n3356 5052\n42120 63256\n34504 51871\n49746 74697\n90967 100000\n79436 100000\n78232 100000\n78721 100000\n21822 32826\n59439 89238\n69984 100000\n56518 84812\n58362 87605\n58228 87390\n42438 63738\n59020 88599\n42741 64199\n26446 39743\n61604 92466\n91417 100000\n44266 66460\n57677 86564\n92375 100000\n67211 100000\n55454 83233\n7638 11514\n40517 60855\n79375 100000\n92656 100000\n38106 57283\n37694 56679\n25644 38550\n5348 8037\n21717 32668\n21568 32434\n3091 4665\n72106 100000\n63580 95422\n11227 16907\n48447 72768\n71357 100000\n47694 71602\n90690 100000\n591 900\n34778 52291\n76188 100000\n90971 100000\n55097 82691\n66771 100000\n20047 30159\n93923 100000\n1776 2695\n12881 19407\n27349 41099\n55274 82960\n36867 55437\n49330 74080\n97196 100000\n14063 21168\n74012 100000\n21607 32499\n99005 100000\n93696 100000\n45202 67857\n6473 9734\n64366 96567\n63046 94631\n25220 37920\n2256 3409\n63972 95988\n13115 19752\n53210 79861\n8587 12943\n97369 100000\n74601 100000\n54686 82075\n50336 75572\n60542 90872\n56795 85234\n52604 78969\n78177 100000\n32449 48809\n72668 100000\n91208 100000\n79472 100000\n44704 67102\n34035 51185\n16835 25307\n12270 18486\n35153 52842\n94271 100000\n35943 54028\n45120 67735\n72662 100000\n23302 35036\n6435 9678\n7164 10796\n17983 27060\n75235 100000\n76716 100000\n55416 83172\n3052 4605\n79516 100000\n19299 29028\n17259 25950\n7388 11128\n53790 80731\n94536 100000\n93800 100000\n32683 49167\n29438 44242\n7527 11345\n15042 22644\n90599 100000\n15577 23415\n77548 100000\n8628 13004\n52617 78986\n41896 62934\n43670 65586\n61858 92847\n38961 58579\n91230 100000\n33462 50319\n49892 74918\n96057 100000\n75213 100000\n4946 7423\n24814 37315\n97548 100000\n47270 70957\n17237 25918\n43116 64742\n98822 100000\n48868 73391\n17509 26336\n24776 37260\n21387 32170\n65587 98377\n43941 65987\n76444 100000\n79758 100000\n30280 45500\n8428 12705\n72004 100000\n47971 72032\n87020 100000\n77459 100000\n8730 13146\n79987 100000\n9165 13800\n62499 93800\n19840 29841\n47554 71388\n80482 100000\n64794 97215\n99240 100000\n93040 100000\n32433 48784\n97522 100000\n39671 59615\n6884 10356\n93673 100000\n6417 9649\n90668 100000\n98209 100000\n35713 53685\n33150 49870\n96069 100000\n17721 26659\n29374 44143\n95929 100000\n95025 100000\n64009 96039\n94555 100000\n44264 66456\n67780 100000\n56604 84937\n13864 20878\n14640 22044\n40490 60819\n71059 100000\n1683 2546\n29332 44082\n72780 100000\n67239 100000\n9355 14099\n37628 56578\n72025 100000\n7909 11915\n46331 69568\n50532 75860\n4429 6647\n92802 100000\n95359 100000\n3809 5720\n22672 34100\n34752 52250\n4950 7428\n6875 10343\n99627 100000\n18917 28463\n22742 34202\n90432 100000\n79261 100000\n64817 97247\n32512 48905\n98832 100000\n79981 100000\n24004 36107\n62997 94561\n35480 53333\n20122 30274\n7918 11930\n5719 8580\n81228 100000\n47704 71620\n94505 100000\n64479 96737\n45764 68704\n17121 25742\n40523 60865\n97378 100000\n20092 30228\n31087 46733\n56391 84632\n16294 24500\n7650 11532\n35195 52908\n76480 100000\n18798 28288\n83632 100000\n81067 100000\n18253 27468\n79873 100000\n98588 100000\n31821 47853\n36746 55253\n45819 68791\n39772 59758\n89736 100000\n99162 100000\n31320 47093\n80403 100000\n25145 37808\n1167 1763\n52304 78521\n41073 61689\n82602 100000\n79976 100000\n20934 31503\n88242 100000\n47101 70705\n99503 100000\n83888 100000\n78686 100000\n20940 31512\n38233 57482\n71004 100000\n69414 100000\n62047 93130\n53856 80833\n69413 100000\n40586 60967\n13648 20546\n9729 14652\n76037 100000\n13387 20158\n87292 100000\n46767 70212\n6037 9063\n89040 100000\n26676 40077\n41398 62177\n49394 74172\n15942 23957\n53083 79671\n60954 91504\n28760 43214\n59736 89679\n47420 71187\n55969 84010\n41425 62223\n97802 100000\n20659 31084\n9710 14624\n31623 47560\n80532 100000\n36098 54270\n95631 100000\n20702 31152\n58279 87475\n97361 100000\n41400 62181\n88563 100000\n70444 100000\n77476 100000\n67878 100000\n28653 43061\n89995 100000\n68738 100000\n73486 100000\n99310 100000\n27641 41542\n86016 100000\n66609 99925\n15362 23102\n75477 100000\n28134 42269\n36475 54854\n98645 100000\n67163 100000\n46545 69888\n56320 84532\n25176 37857\n40984 61559\n89863 100000\n79569 100000\n36468 54846\n12877 19400\n12547 18900\n52500 78815\n42630 64036\n18315 27559\n68741 100000\n75148 100000\n17533 26374\n11017 16588\n50819 76282\n89397 100000\n44372 66617\n7473 11262\n59587 89449\n71071 100000\n38291 57570\n60672 91074\n80564 100000\n36898 55486\n59543 89384\n43615 65504\n54174 81314\n47000 70564\n88318 100000\n24460 36780\n19742 29689\n97443 100000\n13922 20964\n78157 100000\n14834 22338\n69041 100000\n87215 100000\n54787 82233\n58894 88409\n49670 74588\n96384 100000\n58617 87987\n23016 34608\n21561 32420\n90671 100000\n88230 100000\n27164 40819\n92518 100000\n44908 67411\n39149 58848\n37629 56580\n5919 8887\n26438 39732\n39281 59041\n97453 100000\n63862 95831\n2062 3107\n18926 28476\n436 656\n95019 100000\n83098 100000\n65963 98947\n57645 86516\n8194 12347\n31131 46804\n32382 48707\n19426 29219\n44408 66665\n82252 100000\n76906 100000\n58789 88254\n2039 3076\n77243 100000\n26746 40188\n85439 100000\n8219 12388\n8077 12174\n16079 24172\n66159 99253\n44112 66242\n30283 45503\n45785 68737\n44141 66288\n37376 56206\n95202 100000\n50110 75233\n1317 1984\n30118 45253\n93036 100000\n99756 100000\n30671 46100\n39909 59957\n77799 100000\n4229 6343\n38639 58095\n83603 100000\n17680 26594\n29961 45021\n9930 14947\n57831 86796\n13312 20047\n49632 74535\n79645 100000\n49456 74264\n74333 100000\n26176 39337\n70007 100000\n26020 39101\n89520 100000\n59758 89715\n7353 11079\n45456 68250\n86241 100000\n31570 47477\n85804 100000\n1231 1854\n30602 45995\n26244 39440\n3445 5176\n99903 100000\n63449 95219\n71950 100000\n87690 100000\n63424 95188\n71144 100000\n37218 55966\n68329 100000\n18891 28427\n76186 100000\n61216 91893\n57190 85835\n52645 79030\n2099 3163\n1256 1890\n47090 70689\n67849 100000\n58041 87112\n46928 70462\n86232 100000\n25160 37832\n71362 100000\n58115 87228\n79612 100000\n3034 4578\n80780 100000\n29325 44072\n5648 8477\n73772 100000\n19191 28872\n73183 100000\n69465 100000\n12205 18390\n1002 1517\n43410 65194\n58098 87203\n66863 100000\n41127 61772\n21061 31686\n64778 97189\n21919 32974\n80502 100000\n59718 89651\n61700 92613\n83118 100000\n36615 55062\n95020 100000\n68360 100000\n20988 31582\n44622 66980\n6348 9533\n83161 100000\n74400 100000\n65605 98407\n18823 28326\n68033 100000\n55515 83323\n80426 100000\n22752 34218\n9568 14411\n65518 98281\n87913 100000\n81949 100000\n51599 77450\n54437 81707\n20731 31195\n8834 13307\n42027 63123\n43359 65119\n19607 29481\n85081 100000\n87299 100000\n65729 98589\n69759 100000\n7122 10733\n18050 27163\n37107 55801\n31238 46973\n77320 100000\n79312 100000\n30724 46186\n57244 85916\n1305 1968\n89534 100000\n3919 5882\n90564 100000\n23778 35774\n61367 92113\n63294 94995\n1844 2795\n19519 29356\n97549 100000\n51092 76694\n30026 45115\n41986 63067\n68746 100000\n27907 41937\n56067 84158\n24541 36906\n30472 45792\n81641 100000\n42069 63183\n46130 69255\n31456 47305\n50931 76450\n38741 58246\n41254 61962\n25983 39051\n17949 27007\n17379 26141\n41653 62572\n30411 45697\n84992 100000\n47213 70874\n52138 78268\n59034 88619\n68197 100000\n23316 35061\n72034 100000\n66217 99341\n60226 90397\n68405 100000\n97623 100000\n54489 81782\n86902 100000\n86821 100000\n64154 96257\n84344 100000\n34565 51957\n8085 12184\n19901 29931\n25753 38713\n51475 77270\n20321 30576\n7372 11107\n47219 70883\n52285 78492\n9339 14073\n39267 59019\n28811 43297\n70717 100000\n5853 8783\n24091 36232\n45575 68425\n50852 76332\n87066 100000\n73697 100000\n71254 100000\n95690 100000\n52899 79401\n29282 44005\n86025 100000\n64767 97170\n62157 93295\n67063 100000\n57087 85680\n39864 59890\n7229 10891\n69112 100000\n78681 100000\n46447 69741\n76798 100000\n29133 43779\n38966 58586\n95980 100000\n52100 78213\n9820 14782\n54434 81704\n59972 90026\n93367 100000\n41759 62720\n50495 75806\n6166 9256\n86127 100000\n98679 100000\n92357 100000\n59855 89851\n74784 100000\n95417 100000\n76029 100000\n2687 4058\n30316 45551\n31030 46651\n15276 22976\n18432 27736\n1224 1845\n31494 47359\n86004 100000\n44243 66427\n79240 100000\n81832 100000\n77928 100000\n77679 100000\n15129 22770\n1504 2270\n6249 9377\n93360 100000\n89117 100000\n60796 91262\n33367 50179\n8904 13410\n57971 87007\n44035 66127\n83326 100000\n5412 8132\n46688 70092\n37757 56775\n20616 31019\n72432 100000\n9746 14677\n52146 78281\n53463 80237\n65656 98482\n16637 25015\n70676 100000\n44437 66708\n88778 100000\n81781 100000\n32087 48250\n27483 41307\n66273 99426\n99339 100000\n83838 100000\n31209 46927\n24373 36652\n44920 67432\n13904 20935\n9191 13841\n41996 63081\n38730 58229\n1070 1617\n16353 24587\n54588 81931\n44400 66655\n99265 100000\n62900 94416\n96904 100000\n2936 4432\n96293 100000\n3912 5871\n60144 90282\n51083 76680\n51113 76724\n38197 57424\n18968 28542\n21619 32518\n1200 1813\n52738 79165\n53162 79789\n34936 52526\n44930 67449\n62445 93726\n14551 21912\n83750 100000\n85666 100000\n3689 5533\n39249 58993\n35023 52652\n75058 100000\n88447 100000\n18865 28389\n3127 4718\n66438 99674\n92083 100000\n5981 8978\n63918 95909\n16786 25238\n97815 100000\n13631 20519\n21399 32188\n88546 100000\n75947 100000\n22205 33403\n16860 25346\n60571 90914\n27726 41669\n32924 49530\n91677 100000\n61784 92738\n89119 100000\n41916 62964\n38850 58413\n79620 100000\n71847 100000\n66639 99974\n31411 47233\n76134 100000\n95838 100000\n34375 51689\n5084 7630\n95106 100000\n42119 63255\n47259 70944\n28835 43334\n63319 95029\n50660 76049\n68900 100000\n61387 92140\n75081 100000\n91199 100000\n57621 86478\n3232 4874\n76174 100000\n72019 100000\n9130 13747\n88777 100000\n17215 25887\n29229 43932\n56148 84270\n79982 100000\n69653 100000\n55240 82906\n31592 47512\n60131 90263\n30552 45919\n45073 67667\n75221 100000\n14498 21836\n98272 100000\n96933 100000\n27826 41822\n62132 93258\n62256 93445\n89156 100000\n52840 79315\n32069 48224\n69053 100000\n84869 100000\n2528 3819\n27601 41481\n61096 91716\n85461 100000\n42656 64074\n67155 100000\n42147 63296\n11451 17251\n94712 100000\n55401 83151\n6558 9856\n31028 46647\n15058 22669\n92622 100000\n44177 66342\n28903 43432\n12941 19496\n58611 87978\n30491 45819\n43654 65559\n30209 45397\n20336 30600\n22129 33288\n95436 100000\n93391 100000\n9258 13947\n21378 32156\n71690 100000\n78497 100000\n35320 53099\n5948 8931\n7605 11467\n47686 71590\n48986 73560\n45159 67793\n42121 63257\n58280 87477\n48760 73233\n72018 100000\n24049 36173\n31962 48063\n10434 15728\n82151 100000\n70380 100000\n89446 100000\n34408 51732\n37908 56999\n66519 99792\n66207 99324\n94995 100000\n14809 22302\n72572 100000\n51267 76955\n60270 90469\n42512 63852\n98282 100000\n38540 57953\n55151 82779\n21337 32097\n93104 100000\n24635 37050\n97825 100000\n24993 37579\n92729 100000\n66122 99195\n22423 33723\n18575 27943\n6758 10165\n32231 48482\n9919 14930\n83725 100000\n87436 100000\n77890 100000\n50926 76443\n99949 100000\n84827 100000\n50896 76395\n59931 89965\n19429 29222\n57938 86957\n71419 100000\n2320 3504\n57584 86425\n25293 38028\n464 701\n9756 14691\n4284 6429\n70034 100000\n69130 100000\n59153 88796\n78010 100000\n27822 41816\n63834 95789\n33587 50508\n8493 12800\n66185 99288\n3557 5335\n40364 60629\n35402 53215\n46985 70539\n86017 100000\n35678 53630\n92977 100000\n17758 26717\n56006 84065\n75576 100000\n87210 100000\n97974 100000\n91704 100000\n32588 49026\n5866 8803\n38796 58331\n64907 97381\n93822 100000\n665 1011\n35491 53347\n40417 60711\n51067 76654\n27233 40924\n78572 100000\n69740 100000\n82848 100000\n40233 60441\n18133 27289\n30509 45850\n56814 85263\n1434 2162\n4043 6076\n51765 77700\n54478 81765\n75556 100000\n15353 23090\n57427 86184\n83805 100000\n31946 48039\n72494 100000\n95813 100000\n82159 100000\n19310 29047\n86448 100000\n50656 76042\n55967 84006\n34867 52428\n38258 57518\n57600 86448\n77662 100000\n63686 95575\n9816 14777\n16266 24458\n14597 21981\n83918 100000\n71183 100000\n19348 29099\n95100 100000\n7258 10936\n27276 40990\n33460 50316\n4036 6067\n55545 83372\n27096 40718\n16612 24978\n77969 100000\n44866 67344\n75060 100000\n89425 100000\n65626 98438\n99461 100000\n46093 69202\n5253 7891\n36642 55102\n99806 100000\n46097 69208\n93924 100000\n83249 100000\n19632 29519\n49767 74734\n3398 5113\n63453 95225\n13095 19723\n85090 100000\n28785 43255\n74531 100000\n48198 72385\n85553 100000\n12700 19125\n22677 34107\n77274 100000\n63311 95016\n84373 100000\n85464 100000\n92182 100000\n52491 78801\n20955 31535\n74177 100000\n27622 41512\n72980 100000\n54683 82071\n14858 22372\n51613 77468\n36575 54998\n2205 3329\n87757 100000\n44543 66862\n17493 26309\n24372 36651\n75907 100000\n43187 64847\n41542 62401\n88934 100000\n16479 24771\n99268 100000\n21865 32892\n20729 31191\n2922 4409\n21457 32278\n49239 73946\n5225 7850\n23358 35126\n17004 25564\n32331 48634\n75279 100000\n90061 100000\n44977 67525\n83251 100000\n65584 98373\n80355 100000\n12579 18947\n4563 6845\n57833 86799\n28255 42450\n6815 10255\n58523 87844\n17220 25894\n52320 78547\n22094 33238\n52723 79144\n87701 100000\n28058 42159\n87932 100000\n14490 21822\n95349 100000\n38815 58358\n39481 59336\n24434 36741\n8887 13381\n18866 28391\n74912 100000\n73024 100000\n59897 89911\n92489 100000\n52979 79525\n19970 30039\n54986 82528\n80250 100000\n58321 87544\n97015 100000\n92565 100000\n81728 100000\n63419 95181\n32609 49058\n52608 78973\n2785 4206\n90817 100000\n32015 48141\n4448 6675\n96975 100000\n46577 69935\n62756 94199\n54452 81727\n98307 100000\n23677 35616\n77784 100000\n45933 68961\n17073 25676\n50905 76409\n75933 100000\n48422 72726\n30494 45824\n12979 19552\n10846 16330\n47346 71077\n36111 54290\n51899 77907\n68862 100000\n82152 100000\n60741 91175\n19329 29073\n26997 40563\n80900 100000\n94676 100000\n64961 97452\n15367 23108\n73205 100000\n17685 26603\n37822 56870\n64025 96064\n26683 40087\n93120 100000\n90264 100000\n35832 53864\n98045 100000\n80652 100000\n44799 67245\n58121 87237\n46472 69781\n15583 23425\n87157 100000\n94422 100000\n42545 63901\n62566 93910\n47925 71958\n55881 83873\n47785 71740\n78610 100000\n66741 100000\n1267 1910\n59307 89037\n22511 33859\n38864 58433\n20392 30684\n42258 63465\n54311 81530\n87539 100000\n15332 23057\n15647 23518\n79814 100000\n53714 80610\n54710 82112\n11174 16827\n30173 45341\n83969 100000\n30917 46472\n39087 58766\n85070 100000\n95165 100000\n40822 61321\n86709 100000\n83525 100000\n47257 70941\n96902 100000\n12582 18952\n16689 25096\n24368 36646\n22809 34302\n44366 66608\n17384 26148\n93447 100000\n44520 66825\n95153 100000\n78973 100000\n42134 63275\n11144 16783\n55720 83635\n89961 100000\n23417 35216\n94441 100000\n69914 100000\n20800 31301\n44780 67218\n27979 42047\n12148 18313\n29700 44635\n34496 51861\n97320 100000\n25625 38519\n88528 100000\n4712 7069\n84539 100000\n51569 77405\n54274 81471\n62078 93174\n94014 100000\n57200 85851\n21617 32514\n14764 22233\n49791 74768\n27911 41944\n12918 19459\n48377 72657\n27617 41503\n40199 60393\n68354 100000\n8596 12955\n81056 100000\n79659 100000\n48615 73019\n35787 53795\n28766 43225\n18944 28505\n53994 81040\n16214 24381\n34538 51920\n56671 85033\n66210 99330\n25554 38411\n52065 78160\n76751 100000\n2640 3990\n74918 100000\n13954 21016\n60409 90675\n34147 51353\n45106 67715\n61228 91914\n47889 71897\n72259 100000\n19467 29279\n18166 27338\n52478 78781\n47314 71025\n78846 100000\n15024 22616\n2058 3100\n43508 65338\n71508 100000\n38677 58149\n71296 100000\n36514 54913\n80543 100000\n86110 100000\n42832 64330\n8964 13502\n41349 62103\n53651 80516\n54594 81941\n40733 61191\n98466 100000\n42976 64546\n61196 91863\n64649 96994\n91931 100000\n39086 58765\n6621 9951\n51625 77487\n35456 53298\n61262 91963\n75624 100000\n70787 100000\n7969 12004\n53659 80528\n57894 86892\n52763 79203\n29632 44529\n35862 53906\n36073 54231\n86244 100000\n85706 100000\n41577 62451\n87401 100000\n31695 47665\n16178 24326\n3899 5848\n38008 57142\n65874 98811\n20237 30445\n74757 100000\n97959 100000\n9685 14587\n80411 100000\n68497 100000\n4237 6354\n57513 86312\n57715 86625\n52070 78166\n68645 100000\n54199 81347\n23343 35104\n8607 12970\n38328 57630\n89184 100000\n32383 48709\n77604 100000\n60578 90926\n63755 95671\n23873 35924\n76458 100000\n22005 33099\n12271 18488\n26830 40321\n96860 100000\n96179 100000\n2870 4335\n85573 100000\n32377 48701\n82222 100000\n58770 88221\n81623 100000\n13332 20077\n90586 100000\n34390 51708\n80204 100000\n84312 100000\n56353 84573\n36710 55202\n99906 100000\n24647 37069\n55093 82684\n25161 37833\n73012 100000\n58100 87205\n76803 100000\n33204 49946\n94334 100000\n57093 85690\n7315 11020\n8892 13391\n97856 100000\n19421 29212\n3046 4596\n91517 100000\n20808 31312\n12466 18784\n80336 100000\n7510 11319\n41257 61966\n21190 31880\n92870 100000\n28356 42606\n31346 47134\n21760 32732\n40500 60832\n84037 100000\n49356 74119\n94741 100000\n51157 76791\n8568 12916\n51546 77371\n26882 40397\n57359 86084\n35693 53655\n27965 42028\n91745 100000\n91706 100000\n9106 13711\n69376 100000\n25777 38750\n32199 48430\n8979 13527\n58708 88125\n16451 24733\n91653 100000\n8370 12621\n87642 100000\n77677 100000\n41616 62512\n47242 70918\n88044 100000\n26967 40518\n28744 43192\n77859 100000\n68887 100000\n30122 45260\n12166 18336\n70102 100000\n50343 75583\n31764 47767\n52628 79002\n97438 100000\n28514 42844\n58467 87759\n80947 100000\n75149 100000\n65581 98370\n30398 45677\n23649 35572\n88360 100000\n44524 66831\n56680 85046\n81160 100000\n84293 100000\n44129 66269\n618 943\n86470 100000\n76169 100000\n47689 71595\n12647 19046\n80440 100000\n93948 100000\n2742 4144\n89350 100000\n7134 10751\n14272 21486\n82534 100000\n64445 96684\n82724 100000\n4 5\n59651 89545\n51223 76887\n67570 100000\n46319 69547\n99004 100000\n95207 100000\n3712 5568\n7108 10712\n47752 71690\n32151 48352\n34312 51591\n31609 47538\n26240 39434\n77415 100000\n73873 100000\n58063 87148\n23085 34715\n3953 5935\n32073 48230\n61149 91793\n1085 1642\n34862 52420\n6973 10496\n71903 100000\n61719 92639\n89393 100000\n66405 99622\n43800 65778\n86091 100000\n28071 42178\n31462 47312\n50972 76511\n2145 3235\n86274 100000\n61970 93013\n48323 72580\n50897 76397\n12644 19041\n28610 42998\n89842 100000\n13755 20704\n7334 11049\n68010 100000\n47658 71546\n73317 100000\n29239 43943\n7275 10963\n35214 52934\n40936 61492\n85271 100000\n21450 32267\n2705 4086\n58015 87077\n66346 99533\n29425 44225\n34767 52275\n5907 8868\n23509 35351\n86770 100000\n70962 100000\n15241 22928\n67554 100000\n14699 22131\n21847 32863\n64518 96796\n36262 54531\n41380 62152\n54338 81567\n18725 28175\n74588 100000\n49958 75016\n59397 89177\n56714 85099\n75243 100000\n59580 89438\n18417 27711\n24471 36798\n86477 100000\n52961 79497\n15974 24005\n77147 100000\n18768 28241\n56503 84789\n12178 18354\n52123 78248\n13348 20104\n74774 100000\n34686 52148\n21246 31965\n2525 3814\n4597 6899\n89917 100000\n81681 100000\n49355 74118\n7096 10692\n99130 100000\n12548 18901\n7795 11749\n78876 100000\n10768 16216\n39549 59435\n20775 31259\n68591 100000\n95193 100000\n77008 100000\n96016 100000\n65204 97813\n93197 100000\n74040 100000\n63210 94876\n81426 100000\n41752 62712\n50259 75462\n4862 7299\n86183 100000\n73394 100000\n42891 64417\n60920 91454\n40407 60695\n31533 47419\n70507 100000\n29728 44682\n66964 100000\n92469 100000\n9066 13655\n52864 79347\n5601 8409\n68370 100000\n67111 100000\n44301 66516\n87888 100000\n8454 12745\n26492 39809\n29346 44102\n51107 76716\n73989 100000\n43497 65323\n94984 100000\n70958 100000\n9891 14889\n9209 13868\n33555 50462\n34972 52578\n43610 65497\n62539 93865\n47978 72043\n75765 100000\n70929 100000\n66758 100000\n84397 100000\n9843 14814\n78526 100000\n55380 83118\n61359 92101\n72699 100000\n95673 100000\n61842 92823\n55428 83191\n83661 100000\n62980 94530\n93654 100000\n67881 100000\n16407 24667\n85377 100000\n55366 83099\n66234 99366\n89993 100000\n52183 78335\n61886 92890\n36180 54396\n9534 14363\n19707 29638\n25751 38711\n8353 12589\n63866 95837\n29076 43695\n9730 14654\n91786 100000\n76005 100000\n79281 100000\n62414 93681\n38025 57168\n43495 65320\n24809 37309\n61876 92876\n88815 100000\n36860 55426\n98599 100000\n75190 100000\n33289 50066\n11823 17828\n64105 96183\n85733 100000\n17645 26543\n75250 100000\n91702 100000\n70011 100000\n67050 100000\n75588 100000\n34138 51338\n49153 73813\n18634 28030\n36398 54741\n42721 64172\n23847 35882\n26876 40388\n44939 67463\n49252 73966\n12806 19289\n89309 100000\n34535 51916\n48963 73526\n69993 100000\n81651 100000\n24835 37347\n4958 7438\n62689 94096\n48365 72637\n68273 100000\n2333 3526\n17694 26616\n19461 29269\n94430 100000\n25804 38784\n13484 20300\n78967 100000\n31406 47225\n73408 100000\n91544 100000\n19725 29664\n13985 21059\n5332 8018\n66042 99069\n44964 67503\n80561 100000\n59479 89297\n73535 100000\n27677 41594\n19976 30050\n40548 60904\n34969 52575\n77263 100000\n24285 36524\n21983 33068\n54458 81737\n82521 100000\n99507 100000\n61452 92242\n9484 14289\n37686 56667\n732 1116\n61800 92762\n47009 70577\n37523 56427\n20714 31169\n19927 29967\n29009 43594\n67739 100000\n90757 100000\n98040 100000\n42718 64166\n48567 72951\n29990 45063\n42101 63229\n69867 100000\n53107 79706\n64731 97119\n21334 32094\n89541 100000\n88701 100000\n25015 37611\n48761 73234\n87944 100000\n3195 4823\n73389 100000\n43473 65288\n79962 100000\n15327 23048\n12590 18961\n12058 18180\n26951 40495\n54664 82043\n48157 72325\n63495 95284\n22046 33160\n3029 4572\n40331 60584\n99065 100000\n93733 100000\n82760 100000\n76889 100000\n682 1038\n55842 83818\n60418 90687\n88261 100000\n18477 27802\n48231 72435\n12731 19173\n72718 100000\n59017 88595\n95426 100000\n7065 10640\n2849 4304\n12540 18889\n14642 22047\n50529 75856\n11241 16929\n2467 3729\n9592 14448\n38715 58205\n57627 86486\n48090 72219\n31002 46605\n178 263\n25138 37797\n44010 66089\n20744 31217\n30569 45945\n91177 100000\n34931 52520\n65084 97630\n45061 67651\n90760 100000\n22390 33675\n70171 100000\n39966 60041\n81918 100000\n9097 13699\n20167 30338\n67276 100000\n62193 93344\n64486 96749\n81036 100000\n94932 100000\n50227 75413\n173 257\n95698 100000\n41492 62327\n75003 100000\n58656 88045\n22532 33886\n59448 89250\n72666 100000\n39193 58908\n70779 100000\n40749 61212\n26841 40338\n93806 100000\n66260 99406\n69038 100000\n19966 30032\n71645 100000\n74553 100000\n68825 100000\n45676 68571\n80128 100000\n82497 100000\n67040 100000\n61459 92253\n89664 100000\n19615 29494\n35631 53560\n11679 17609\n26393 39664\n4717 7077\n26854 40356\n49185 73863\n61626 92498\n49151 73810\n99647 100000\n15840 23806\n92898 100000\n1987 3000\n33832 50877\n79060 100000\n98455 100000\n22732 34188\n83718 100000\n84107 100000\n7873 11862\n47677 71578\n19333 29078\n68799 100000\n50450 75742\n13228 19917\n3003 4531\n20641 31058\n69431 100000\n73063 100000\n2115 3189\n91053 100000\n13668 20573\n63902 95886\n33210 49954\n62311 93526\n45209 67868\n290 434\n55308 83016\n7509 11317\n3326 5008\n45176 67821\n60089 90199\n97824 100000\n60162 90305\n34033 51183\n67775 100000\n42211 63392\n66053 99087\n32204 48438\n43016 64602\n76393 100000\n14592 21973\n7149 10773\n12479 18800\n65395 98089\n9045 13623\n20316 30569\n1720 2605\n14404 21695\n29824 44813\n96251 100000\n58266 87455\n62028 93103\n87099 100000\n82727 100000\n79024 100000\n94904 100000\n32601 49044\n29057 43667\n37437 56293\n76300 100000\n33833 50878\n94138 100000\n46578 69936\n39070 58739\n95099 100000\n16227 24400\n80315 100000\n70573 100000\n32088 48252\n18012 27103\n26619 39989\n19412 29200\n19641 29532\n45232 67905\n57732 86651\n5597 8403\n80044 100000\n49629 74529\n39332 59122\n59914 89937\n3668 5502\n99482 100000\n32575 49004\n20399 30695\n24426 36730\n97247 100000\n95386 100000\n88862 100000\n51826 77790\n28034 42124\n20969 31555\n50598 75958\n39988 60076\n43034 64626\n76706 100000\n83257 100000\n69559 100000\n26991 40551\n70439 100000\n89517 100000\n25646 38553\n6569 9871\n22384 33665\n18663 28078\n61672 92572\n95584 100000\n15288 22993\n99199 100000\n6431 9670\n59655 89550\n51284 76981\n65055 97586\n7972 12010\n44355 66591\n19964 30028\n93600 100000\n21372 32147\n45674 68568\n71085 100000\n59628 89508\n32312 48606\n87196 100000\n44116 66250\n66390 99602\n5113 7673\n65456 98185\n10337 15578\n43011 64594\n54086 81174\n68658 100000\n4595 6896\n70753 100000\n68258 100000\n89739 100000\n57271 85954\n93575 100000\n68026 100000\n16152 24286\n64700 97073\n19889 29913\n16908 25423\n20274 30503\n14886 22412\n84264 100000\n10401 15672\n81422 100000\n758 1150\n90840 100000\n79462 100000\n94929 100000\n16964 25509\n12096 18242\n34338 51632\n24000 36100\n53437 80202\n40435 60737\n98749 100000\n48692 73134\n83773 100000\n75379 100000\n97527 100000\n81999 100000\n81226 100000\n3600 5400\n72133 100000\n75246 100000\n23190 34872\n39361 59164\n68308 100000\n13092 19718\n16175 24321\n15899 23899\n94332 100000\n87775 100000\n96799 100000\n67805 100000\n51726 77640\n67556 100000\n19605 29479\n94973 100000\n3829 5747\n23122 34774\n52615 78983\n4375 6564\n58458 87747\n80963 100000\n46558 69906\n57825 86786\n81242 100000\n81383 100000\n96833 100000\n26722 40150\n64341 96531\n39719 59689\n60009 90080\n48287 72523\n62229 93405\n22629 34036\n46089 69195\n46056 69147\n49420 74213\n83441 100000\n80304 100000\n58842 88334\n70192 100000\n97401 100000\n39524 59399\n87623 100000\n48410 72710\n33335 50134\n94358 100000\n43822 65811\n83667 100000\n49068 73686\n49970 75034\n83913 100000\n2178 3289\n85345 100000\n95223 100000\n68349 100000\n56716 85103\n35788 53796\n68502 100000\n10088 15190\n88372 100000\n58059 87141\n85749 100000\n87297 100000\n53176 79809\n90087 100000\n29347 44104\n86452 100000\n29611 44502\n58883 88393\n38704 58189\n81655 100000\n66847 100000\n5472 8216\n17441 26229\n28265 42467\n97317 100000\n30564 45935\n80998 100000\n4699 7052\n19883 29903\n16592 24946\n4478 6718\n13399 20174\n51767 77702\n37557 56476\n29241 43945\n38395 57729\n33834 50880\n52770 79213\n23035 34636\n34292 51562\n62663 94056\n54641 82009\n59970 90023\n7559 11395\n21752 32721\n66747 100000\n92798 100000\n92427 100000\n57004 85548\n42057 63165\n79885 100000\n30959 46541\n38169 57381\n32931 49540\n43261 64965\n79141 100000\n10107 15221\n45247 67931\n35834 53868\n96400 100000\n96936 100000\n20696 31144\n65407 98108\n18115 27263\n34819 52357\n35224 52951\n75758 100000\n79634 100000\n54139 81262\n99386 100000\n25648 38555\n65154 97738\n30981 46576\n38119 57305\n39475 59329\n69062 100000\n82706 100000\n44647 67017\n91084 100000\n68860 100000\n91917 100000\n67256 100000\n96716 100000\n82310 100000\n25715 38657\n27917 41953\n51410 77176\n29159 43821\n31309 47076\n170 254\n244 362\n70882 100000\n53173 79805\n17347 26095\n94242 100000\n22940 34496\n85309 100000\n75530 100000\n56387 84627\n26259 39463\n94713 100000\n41608 62499\n94862 100000\n59756 89711\n99855 100000\n78577 100000\n40720 61167\n88086 100000\n45010 67577\n13620 20501\n61116 91745\n98866 100000\n69968 100000\n328 493\n15074 22694\n63080 94685\n36308 54601\n94923 100000\n77725 100000\n50564 75908\n83239 100000\n89072 100000\n41516 62363\n43979 66046\n39369 59175\n11531 17374\n81858 100000\n1068 1615\n28776 43241\n79279 100000\n10573 15922\n11977 18061\n18658 28072\n22818 34317\n87653 100000\n42315 63554\n71003 100000\n71975 100000\n48474 72810\n72660 100000\n78487 100000\n90483 100000\n3739 5607\n22867 34392\n40439 60743\n22802 34291\n96866 100000\n42651 64067\n84082 100000\n95403 100000\n7471 11258\n73074 100000\n51081 76678\n58524 87846\n91413 100000\n6486 9751\n56482 84760\n87930 100000\n25358 38123\n57035 85598\n35977 54079\n60108 90228\n83842 100000\n28017 42102\n9083 13677\n37814 56856\n70997 100000\n9161 13795\n21928 32987\n46575 69931\n26758 40207\n10467 15770\n8275 12472\n14497 21834\n27163 40818\n65620 98427\n71580 100000\n16719 25139\n1619 2446\n30375 45642\n9552 14389\n92079 100000\n20915 31476\n5127 7694\n56685 85054\n33806 50834\n21785 32768\n42098 63224\n90663 100000\n9203 13859\n68845 100000\n51058 76641\n99317 100000\n47963 72020\n46261 69460\n70641 100000\n95525 100000\n50810 76268\n53430 80192\n92526 100000\n21621 32521\n304 454\n38674 58145\n78619 100000\n8293 12502\n14877 22398\n94626 100000\n55557 83391\n76900 100000\n72598 100000\n56975 85505\n59804 89776\n3552 5328\n76008 100000\n39373 59182\n93217 100000\n28657 43066\n73601 100000\n85451 100000\n4120 6182\n50074 75186\n69194 100000\n23548 35412\n72416 100000\n41519 62368\n7061 10635\n32025 48156\n63650 95522\n68119 100000\n90854 100000\n4730 7098\n17975 27047\n98414 100000\n79691 100000\n68835 100000\n21806 32802\n56372 84604\n80677 100000\n41183 61853\n28307 42528\n69502 100000\n83518 100000\n96929 100000\n20526 30890\n78880 100000\n6855 10314\n8998 13555\n28472 42778\n73152 100000\n597 908\n40704 61145\n81251 100000\n66407 99625\n66564 99862\n14567 21932\n86098 100000\n4485 6730\n17177 25825\n40237 60446\n3753 5631\n84471 100000\n63761 95680\n85018 100000\n69547 100000\n15314 23032\n81237 100000\n98418 100000\n18437 27744\n46499 69820\n97833 100000\n19978 30053\n21277 32012\n77793 100000\n23421 35222\n62280 93481\n12637 19031\n44410 66667\n85774 100000\n29562 44429\n4569 6855\n790 1198\n4580 6873\n91778 100000\n77759 100000\n21452 32270\n80893 100000\n4526 6789\n8059 12143\n68891 100000\n61143 91784\n8125 12243\n78110 100000\n57836 86803\n85424 100000\n982 1487\n55661 83541\n17552 26400\n27674 41590\n9202 13858\n65029 97546\n18913 28457\n99073 100000\n958 1450\n78472 100000\n452 680\n85633 100000\n26860 40366\n93426 100000\n87019 100000\n66216 99339\n26219 39403\n9560 14400\n89516 100000\n34788 52305\n64234 96374\n13503 20325\n65853 98778\n57935 86952\n97980 100000\n78417 100000\n39189 58903\n54054 81127\n88388 100000\n33734 50729\n59790 89754\n17290 26001\n56223 84389\n52451 78743\n32461 48827\n27484 41308\n92082 100000\n66671 100000\n51045 76620\n76379 100000\n51952 77984\n71924 100000\n66669 100000\n83192 100000\n56492 84773\n5778 8667\n67432 100000\n82292 100000\n20099 30240\n85525 100000\n72587 100000\n56048 84131\n57933 86950\n5528 8301\n10135 15263\n98226 100000\n83264 100000\n21099 31740\n37412 56257\n10187 15341\n16725 25146\n78670 100000\n62707 94124\n61341 92076\n97530 100000\n97152 100000\n27142 40788\n55292 82989\n13719 20648\n34185 51410\n45896 68910\n98485 100000\n44363 66603\n5044 7573\n88762 100000\n90583 100000\n20303 30548\n18702 28139\n66953 100000\n25963 39023\n81830 100000\n87398 100000\n63199 94859\n57633 86497\n70494 100000\n61930 92954\n33558 50466\n29545 44401\n89322 100000\n1066 1612\n37597 56532\n43227 64910\n78057 100000\n30750 46221\n19924 29963\n27702 41633\n56950 85470\n80701 100000\n87854 100000\n82355 100000\n80114 100000\n28789 43261\n58199 87349\n87181 100000\n38155 57361\n65756 98631\n4337 6507\n44104 66231\n16669 25065\n4826 7245\n61541 92376\n25755 38715\n62135 93261\n78630 100000\n41717 62661\n16948 25485\n22763 34235\n76257 100000\n96730 100000\n62926 94454\n8393 12654\n56644 84994\n24938 37497\n25022 37625\n36718 55214\n48348 72614\n83292 100000\n87249 100000\n82073 100000\n43880 65899\n44350 66583\n39872 59902\n98168 100000\n92210 100000\n77177 100000\n51576 77416\n85858 100000\n33467 50328\n86136 100000\n49979 75046\n71193 100000\n60802 91272\n89924 100000\n87595 100000\n87819 100000\n65521 98285\n17749 26701\n93966 100000\n15122 22762\n25184 37868\n50330 75564\n9783 14732\n7841 11813\n89063 100000\n88852 100000\n35424 53250\n72948 100000\n38925 58523\n16844 25320\n39596 59504\n40112 60262\n71256 100000\n85538 100000\n60393 90651\n45611 68479\n29529 44376\n40801 61287\n78398 100000\n18311 27552\n87542 100000\n62814 94290\n3312 4987\n76944 100000\n87952 100000\n29884 44907\n80010 100000\n85993 100000\n86077 100000\n47414 71179\n51079 76675\n32252 48517\n90988 100000\n32371 48693\n34753 52251\n38024 57167\n90970 100000\n76142 100000\n95254 100000\n90309 100000\n81765 100000\n41989 63071\n13782 20745\n87191 100000\n26146 39293\n81177 100000\n11156 16800\n31654 47606\n21453 32272\n51917 77934\n69153 100000\n12441 18749\n75552 100000\n71314 100000\n83383 100000\n51973 78020\n78851 100000\n36764 55282\n67595 100000\n41421 62215\n91078 100000\n28259 42456\n45691 68597\n35377 53181\n99055 100000\n71927 100000\n50930 76449\n33550 50454\n76206 100000\n63845 95807\n92274 100000\n26078 39189\n45826 68801\n67221 100000\n37205 55948\n58952 88496\n99044 100000\n60768 91218\n82488 100000\n63063 94661\n19236 28935\n44439 66711\n74086 100000\n46085 69190\n82059 100000\n14548 21909\n51462 77248\n93478 100000\n39922 59975\n63613 95468\n74669 100000\n50206 75382\n50772 76216\n83202 100000\n71303 100000\n76 113\n54847 82319\n88912 100000\n84158 100000\n58406 87667\n4082 6131\n93559 100000\n60470 90767\n122 181\n75979 100000\n55511 83319\n77698 100000\n18929 28481\n42980 64552\n41566 62436\n46535 69871\n37181 55909\n63207 94870\n40315 60558\n56742 85150\n42748 64211\n69377 100000\n71608 100000\n57802 86752\n42229 63422\n16936 25470\n66452 99694\n61475 92279\n16746 25176\n24781 37267\n78555 100000\n83982 100000\n29598 44483\n93274 100000\n65898 98847\n44171 66333\n59435 89232\n61794 92753\n30321 45560\n17846 26848\n2937 4434\n17696 26619\n68969 100000\n99516 100000\n98664 100000\n70466 100000\n91813 100000\n69658 100000\n69501 100000\n74557 100000\n89127 100000\n77640 100000\n71420 100000\n85320 100000\n99523 100000\n72599 100000\n97445 100000\n50528 75855\n48242 72451\n70666 100000\n1646 2491\n90739 100000\n87084 100000\n54499 81798\n7917 11929\n57869 86851\n71922 100000\n9716 14632\n54388 81634\n66998 100000\n83863 100000\n68529 100000\n14890 22418\n45969 69017\n5136 7708\n49542 74397\n24577 36961\n47736 71667\n58843 88336\n12295 18525\n94050 100000\n1940 2932\n79465 100000\n59067 88670\n73829 100000\n6335 9512\n77822 100000\n113 166\n71090 100000\n42746 64208\n73779 100000\n95136 100000\n65763 98641\n1827 2772\n29449 44256\n41905 62947\n76954 100000\n17409 26187\n44475 66762\n71104 100000\n53062 79643\n27387 41160\n68827 100000\n13426 20215\n14689 22115\n16044 24122\n48169 72341\n63293 94993\n90966 100000\n51391 77147\n55642 83514\n56744 85152\n181 269\n43866 65880\n72578 100000\n92993 100000\n14993 22570\n62071 93164\n97032 100000\n961 1455\n38956 58572\n7052 10623\n80877 100000\n16442 24718\n23754 35738\n19955 30015\n22212 33412\n19459 29266\n29463 44275\n25671 38590\n26441 39736\n49917 74957\n12909 19449\n24996 37585\n89752 100000\n17932 26982\n14941 22490\n89859 100000\n22107 33257\n38350 57664\n53941 80960\n12382 18660\n6813 10252\n73222 100000\n96413 100000\n58082 87177\n57132 85746\n2770 4184\n4728 7095\n6903 10388\n86327 100000\n16139 24266\n1078 1630\n68427 100000\n35265 53012\n80419 100000\n32834 49394\n67342 100000\n56880 85364\n6656 10008\n17750 26703\n55114 82720\n73942 100000\n42535 63886\n44176 66341\n25158 37828\n79478 100000\n9598 14456\n40179 60367\n19728 29668\n62404 93667\n6736 10132\n67465 100000\n11547 17399\n80770 100000\n27837 41839\n528 802\n59856 89852\n13706 20627\n82560 100000\n47992 72062\n56060 84148\n94777 100000\n19097 28735\n25288 38023\n10168 15314\n22683 34116\n87130 100000\n4412 6622\n78166 100000\n92873 100000\n86015 100000\n47917 71944\n63289 94986\n84396 100000\n45188 67837\n79853 100000\n20725 31185\n45829 68805\n54350 81581\n72452 100000\n30160 45317\n30274 45491\n89983 100000\n78741 100000\n76349 100000\n72298 100000\n63302 95004\n7311 11015\n38472 57846\n15702 23596\n98165 100000\n16519 24835\n49329 74079\n96687 100000\n83591 100000\n53432 80195\n75346 100000\n31959 48057\n77671 100000\n9151 13778\n45132 67755\n77178 100000\n92989 100000\n96523 100000\n20250 30466\n72925 100000\n28119 42249\n72797 100000\n3209 4842\n25402 38189\n69822 100000\n5408 8128\n4393 6593\n35687 53646\n67920 100000\n6765 10177\n70411 100000\n58735 88167\n61241 91934\n1950 2944\n43320 65059\n67340 100000\n20859 31389\n74278 100000\n10295 15512\n56537 84840\n75055 100000\n82430 100000\n82348 100000\n39768 59753\n93564 100000\n33095 49784\n17726 26667\n51175 76818\n18215 27412\n78543 100000\n43708 65638\n39174 58881\n10380 15644\n29775 44748\n27052 40653\n45029 67605\n79280 100000\n76500 100000\n13566 20421\n64536 96825\n31473 47330\n86213 100000\n91186 100000\n38556 57975\n45327 68056\n3944 5921\n34687 52150\n82031 100000\n81025 100000\n79003 100000\n69498 100000\n31120 46790\n23378 35160\n61734 92660\n56369 84599\n61705 92621\n84961 100000\n57440 86202\n57138 85756\n25824 38815\n22271 33501\n34754 52253\n87046 100000\n81733 100000\n46762 70203\n32505 48893\n62000 93054\n3124 4714\n34898 52475\n35607 53524\n23889 35949\n96820 100000\n28396 42668\n20986 31578\n56439 84700\n34871 52432\n16491 24789\n56883 85369\n34156 51367\n14958 22515\n74432 100000\n41508 62354\n2255 3407\n93213 100000\n36081 54245\n51423 77193\n5619 8437\n5028 7547\n43026 64617\n75844 100000\n32885 49472\n99106 100000\n16726 25147\n43588 65462\n48702 73153\n21091 31730\n3498 5250\n2350 3554\n24705 37157\n20420 30727\n8720 13132\n99696 100000\n74030 100000\n16632 25008\n28568 42929\n20582 30971\n49642 74549\n43272 64982\n79380 100000\n45099 67706\n90808 100000\n95731 100000\n77516 100000\n87547 100000\n27898 41922\n86347 100000\n72351 100000\n39562 59454\n69593 100000\n64078 96146\n20208 30397\n61343 92079\n90272 100000\n23986 36083\n8937 13461\n47863 71854\n11383 17137\n70114 100000\n45547 68384\n78321 100000\n55284 82977\n29093 43721\n74786 100000\n59311 89042\n830 1261\n36027 54158\n6437 9681\n21909 32958\n55805 83765\n48046 72150\n47758 71700\n10109 15225\n3821 5735\n45956 68997\n77192 100000\n72272 100000\n20482 30822\n35824 53850\n16963 25508\n68937 100000\n38590 58023\n85217 100000\n22750 34216\n80491 100000\n81456 100000\n64639 96978\n35106 52774\n87661 100000\n43089 64703\n41607 62497\n43039 64633\n61238 91929\n88814 100000\n12604 18982\n59022 88601\n5612 8426\n69318 100000\n24710 37164\n23921 35996\n32420 48763\n23890 35951\n81985 100000\n2461 3719\n63162 94804\n15038 22639\n49780 74752\n27950 42006\n28719 43154\n1852 2809\n25098 37741\n98797 100000\n52603 78968\n36996 55637\n38434 57793\n55206 82861\n37663 56634\n20963 31546\n80721 100000\n23063 34679\n9869 14854\n85324 100000\n86416 100000\n86616 100000\n70015 100000\n65494 98245\n23851 35889\n8195 12349\n32418 48760\n29586 44466\n35906 53973\n56871 85351\n46029 69112\n25465 38289\n12609 18989\n38030 57174\n95595 100000\n96743 100000\n99301 100000\n90170 100000\n67304 100000\n13166 19829\n33381 50197\n21498 32331\n80836 100000\n98085 100000\n46783 70237\n87146 100000\n42275 63492\n31826 47859\n80157 100000\n43005 64585\n25 34\n5184 7787\n73769 100000\n9155 13784\n15334 23059\n86868 100000\n15427 23194\n49387 74163\n90411 100000\n96165 100000\n89312 100000\n1342 2024\n584 888\n81164 100000\n29597 44481\n78605 100000\n69951 100000\n26447 39745\n99518 100000\n58923 88451\n60151 90290\n12168 18339\n11061 16654\n73710 100000\n20605 31005\n29698 44633\n63839 95796\n24392 36679\n81932 100000\n16898 25407\n94258 100000\n21289 32030\n56760 85181\n98108 100000\n40471 60790\n78509 100000\n95857 100000\n81572 100000\n93455 100000\n39268 59021\n78571 100000\n14293 21521\n68824 100000\n35080 52735\n37495 56382\n91284 100000\n25136 37795\n62354 93586\n55518 83328\n86932 100000\n95743 100000\n14897 22427\n99954 100000\n91432 100000\n15814 23764\n38010 57146\n16193 24349\n12412 18704\n21196 31888\n73932 100000\n6341 9522\n54713 82116\n3769 5655\n44913 67420\n81465 100000\n28343 42586\n24278 36514\n62185 93334\n1050 1590\n93738 100000\n5797 8697\n21266 31995\n45416 68190\n40461 60775\n94202 100000\n41173 61838\n51077 76671\n6899 10381\n6529 9817\n77046 100000\n96878 100000\n63838 95794\n78366 100000\n24371 36649\n13933 20983\n66312 99481\n82579 100000\n50752 76185\n27520 41360\n70280 100000\n33212 49958\n19497 29321\n50149 75292\n8519 12841\n50876 76364\n8943 13470\n95844 100000\n36740 55243\n67029 100000\n15634 23499\n98617 100000\n18472 27797\n30551 45918\n62485 93781\n70953 100000\n48751 73222\n10946 16486\n88382 100000\n37232 55989\n51979 78029\n84328 100000\n25115 37766\n9782 14731\n63420 95182\n17286 25995\n34685 52146\n22720 34173\n213 316\n80908 100000\n91873 100000\n99628 100000\n73541 100000\n23567 35445\n30789 46275\n3665 5498\n58553 87889\n9302 14015\n52528 78859\n58077 87168\n962 1457\n38013 57151\n42502 63837\n75045 100000\n45565 68409\n63406 95159\n2740 4142\n36582 55010\n23179 34856\n92058 100000\n53 76\n2545 3841\n78447 100000\n27136 40780\n86603 100000\n81682 100000\n58532 87857\n80170 100000\n55528 83343\n64343 96533\n10460 15762\n14316 21560\n25713 38653\n29971 45035\n99307 100000\n18832 28339\n88767 100000\n49410 74199\n79989 100000\n67272 100000\n63387 95130\n30674 46106\n64115 96199\n53473 80253\n61392 92147\n32821 49377\n83987 100000\n28159 42307\n96859 100000\n42629 64035\n84154 100000\n83382 100000\n19974 30046\n77186 100000\n8136 12259\n18792 28278\n48142 72300\n65678 98516\n34265 51527\n89174 100000\n71336 100000\n93035 100000\n47324 71045\n35361 53160\n56110 84217\n86112 100000\n68735 100000\n12618 19003\n78341 100000\n20471 30806\n60014 90088\n90638 100000\n16142 24271\n93805 100000\n95051 100000\n39148 58846\n58398 87657\n6076 9120\n98084 100000\n84850 100000\n92581 100000\n59550 89396\n53028 79592\n63075 94678\n6342 9523\n84007 100000\n52898 79400\n90163 100000\n42260 63468\n42330 63577\n77134 100000\n61692 92599\n15369 23110\n20877 31418\n2238 3380\n73889 100000\n69659 100000\n42163 63321\n56379 84615\n98579 100000\n49759 74720\n11443 17237\n93355 100000\n38132 57325\n82928 100000\n83046 100000\n53071 79655\n92594 100000\n94132 100000\n69437 100000\n29211 43903\n61656 92550\n36013 54137\n17403 26178\n11398 17162\n92426 100000\n60189 90341\n83440 100000\n22459 33783\n93437 100000\n74965 100000\n92899 100000\n49475 74293\n11620 17516\n48987 73562\n49777 74747\n63672 95555\n18908 28451\n99629 100000\n70681 100000\n48998 73579\n26766 40219\n23114 34762\n19084 28716\n70039 100000\n22090 33231\n53600 80440\n92113 100000\n85014 100000\n90180 100000\n57416 86168\n60518 90837\n48689 73130\n39383 59199\n13570 20425\n66849 100000\n2162 3262\n32540 48945\n85791 100000\n26732 40165\n77959 100000\n87516 100000\n15901 23902\n12085 18226\n29898 44927\n61750 92686\n58880 88388\n13220 19906\n50804 76259\n54866 82344\n25222 37922\n31157 46844\n59979 90035\n67206 100000\n91575 100000\n24292 36534\n9982 15027\n87137 100000\n75331 100000\n44707 67106\n2551 3849\n52884 79377\n6668 10026\n76382 100000\n17316 26042\n30400 45680\n44581 66918\n98709 100000\n6638 9978\n91008 100000\n6616 9942\n84454 100000\n52413 78692\n35619 53540\n14129 21261\n58010 87070\n17611 26493\n15338 23065\n72840 100000\n8261 12451\n82697 100000\n28390 42658\n56666 85026\n91545 100000\n85864 100000\n5883 8832\n84766 100000\n9474 14275\n28002 42079\n63639 95505\n29045 43650\n5393 8101\n16880 25376\n80075 100000\n85455 100000\n53022 79583\n98942 100000\n1640 2482\n47086 70684\n12133 18292\n4768 7154\n21740 32702\n73396 100000\n75753 100000\n15551 23373\n48010 72090\n43418 65206\n23537 35395\n48807 73297\n58960 88507\n29408 44197\n93905 100000\n68991 100000\n11301 17018\n15873 23858\n39363 59166\n66123 99196\n27610 41495\n88164 100000\n52033 78111\n70669 100000\n54259 81445\n32514 48909\n22278 33514\n75675 100000\n91077 100000\n59260 88961\n27780 41755\n93468 100000\n22180 33366\n8477 12778\n65397 98092\n15639 23505\n50337 75574\n87927 100000\n24850 37370\n97606 100000\n79174 100000\n12788 19260\n28379 42641\n87484 100000\n58127 87246\n92887 100000\n54192 81340\n50633 76008\n93474 100000\n3104 4685\n67351 100000\n28428 42715\n98719 100000\n22203 33401\n42647 64061\n46386 69651\n40927 61478\n49831 74824\n100 149\n11724 17682\n17678 26592\n20912 31472\n13936 20988\n31981 48093\n19588 29458\n32670 49147\n30397 45676\n11390 17148\n68039 100000\n49291 74023\n14686 22111\n77052 100000\n22576 33956\n5197 7809\n59428 89224\n17649 26549\n92627 100000\n75197 100000\n34289 51558\n66274 99427\n52637 79018\n44650 67022\n46040 69125\n15308 23021\n76486 100000\n32689 49175\n42117 63252\n73242 100000\n71686 100000\n47788 71744\n65906 98859\n42204 63382\n7661 11551\n65278 97923\n34722 52206\n74250 100000\n94450 100000\n55176 82818\n36869 55440\n20327 30584\n24420 36722\n23221 34919\n38430 57785\n23426 35229\n46055 69146\n9499 14311\n95440 100000\n80256 100000\n64590 96906\n90054 100000\n46002 69071\n48993 73572\n4391 6590\n51070 76660\n93838 100000\n77094 100000\n72446 100000\n51909 77922\n1180 1781\n54669 82049\n28950 43507\n21206 31902\n63147 94782\n84603 100000\n43084 64696\n56272 84462\n22222 33427\n79977 100000\n73064 100000\n74197 100000\n65856 98783\n8343 12574\n75787 100000\n1255 1888\n29901 44931\n5875 8819\n24499 36843\n5879 8826\n52767 79209\n95119 100000\n78091 100000\n86835 100000\n11834 17844\n50327 75561\n81692 100000\n48612 73015\n37284 56068\n22634 34044\n64413 96637\n17052 25644\n96879 100000\n83748 100000\n12980 19554\n1498 2260\n40681 61111\n57608 86459\n45174 67818\n53494 80285\n26006 39083\n68609 100000\n88823 100000\n54395 81644\n18165 27336\n23742 35719\n61657 92552\n61868 92863\n93322 100000\n93479 100000\n30391 45667\n91751 100000\n11240 16928\n41000 61581\n48921 73465\n56135 84254\n87532 100000\n64407 96629\n16985 25539\n4610 6915\n30464 45780\n82852 100000\n55954 83986\n77070 100000\n19069 28696\n76795 100000\n18045 27156\n63355 95085\n61296 92010\n63659 95537\n82153 100000\n18125 27279\n7419 11174\n13462 20270\n6457 9712\n36641 55100\n77968 100000\n47811 71777\n57908 86913\n66725 100000\n62464 93753\n50585 75937\n78023 100000\n77554 100000\n21023 31631\n54662 82039\n40709 61151\n20562 30939\n68318 100000\n4898 7350\n39227 58957\n40419 60714\n36584 55014\n83547 100000\n14245 21446\n82051 100000\n51458 77242\n64733 97123\n19850 29856\n64010 96041\n77151 100000\n67078 100000\n92528 100000\n31234 46965\n12279 18503\n14779 22253\n36560 54979\n42634 64043\n31178 46878\n34269 51532\n4206 6313\n43792 65766\n83582 100000\n23515 35361\n90506 100000\n15434 23204\n13944 20999\n66588 99896\n66304 99469\n23995 36093\n86371 100000\n34702 52176\n53011 79568\n58851 88345\n8236 12416\n3964 5953\n65945 98919\n2613 3947\n92598 100000\n78777 100000\n96029 100000\n8009 12069\n796 1208\n39382 59198\n86254 100000\n21110 31756\n84837 100000\n76432 100000\n14974 22541\n72126 100000\n75456 100000\n85183 100000\n48093 72224\n54553 81881\n11920 17973\n84812 100000\n52051 78138\n45051 67635\n53728 80632\n35255 52995\n69869 100000\n39702 59663\n6300 9458\n12593 18965\n8872 13359\n47766 71711\n91914 100000\n91567 100000\n21880 32916\n47078 70675\n52167 78312\n33935 51032\n81011 100000\n2490 3764\n5978 8973\n11155 16799\n14783 22259\n46507 69832\n55526 83339\n20746 31220\n90674 100000\n10023 15090\n68620 100000\n47344 71074\n61292 92005\n70323 100000\n99334 100000\n82389 100000\n44806 67256\n14871 22390\n95913 100000\n67472 100000\n84309 100000\n94256 100000\n12936 19488\n7986 12034\n97018 100000\n46643 70025\n34518 51891\n27828 41824\n8074 12169\n2251 3401\n39545 59431\n82113 100000\n4819 7234\n18983 28565\n14649 22058\n44084 66202\n36062 54216\n1030 1561\n17224 25900\n56240 84412\n84105 100000\n28585 42958\n24650 37073\n20029 30131\n50201 75373\n60887 91402\n53999 81048\n26922 40456\n84176 100000\n29117 43756\n41088 61715\n51147 76775\n94386 100000\n34024 51172\n89642 100000\n37553 56470\n26625 39998\n34286 51555\n9431 14212\n1559 2355\n2773 4188\n97648 100000\n86061 100000\n43280 64991\n61977 93022\n8035 12108\n29850 44856\n53496 80288\n33466 50326\n92842 100000\n77734 100000\n76190 100000\n11942 18009\n78740 100000\n54568 81902\n44830 67293\n37797 56833\n4932 7403\n29464 44276\n24180 36368\n90841 100000\n11505 17338\n61411 92176\n48608 73008\n47610 71472\n84756 100000\n23883 35938\n47516 71331\n1419 2137\n48887 73415\n55830 83802\n90000 100000\n92903 100000\n16264 24456\n15955 23973\n3313 4988\n58921 88448\n73508 100000\n53121 79727\n86005 100000\n84750 100000\n73972 100000\n60006 90076\n5963 8952\n24219 36429\n60186 90337\n24716 37173\n19712 29647\n10754 16196\n29230 43933\n13544 20389\n67446 100000\n70950 100000\n20503 30853\n54555 81884\n21843 32858\n79786 100000\n96868 100000\n60972 91536\n96801 100000\n64184 96302\n35459 53303\n81442 100000\n62927 94456\n58853 88347\n43189 64850\n20779 31265\n36208 54443\n73686 100000\n20545 30916\n67128 100000\n69862 100000\n66131 99209\n63724 95625\n22346 33612\n32201 48433\n51425 77195\n75129 100000\n19121 28766\n98184 100000\n56467 84738\n64056 96113\n84612 100000\n16182 24331\n83135 100000\n43368 65131\n12175 18350\n23266 34982\n95389 100000\n28515 42846\n23203 34889\n43665 65578\n12507 18840\n87518 100000\n121 179\n60557 90894\n79761 100000\n52370 78625\n88161 100000\n64082 96154\n808 1226\n64416 96642\n35805 53823\n42428 63720\n92619 100000\n52910 79419\n68950 100000\n58232 87398\n97658 100000\n17805 26788\n4725 7090\n37990 57115\n83216 100000\n83395 100000\n54900 82398\n62794 94257\n77876 100000\n68287 100000\n82711 100000\n28089 42201\n54326 81552\n43834 65830\n3411 5133\n72990 100000\n13257 19960\n66718 100000\n41579 62454\n79847 100000\n82122 100000\n97621 100000\n83208 100000\n62149 93285\n42096 63221\n79808 100000\n11578 17449\n29576 44450\n57611 86463\n34445 51789\n75855 100000\n67166 100000\n44257 66447\n64165 96272\n1447 2180\n36600 55039\n14861 22377\n73094 100000\n38429 57784\n36980 55609\n31974 48082\n45409 68180\n85333 100000\n17157 25797\n61084 91701\n69861 100000\n18481 27809\n33447 50298\n69296 100000\n83221 100000\n77718 100000\n82352 100000\n78694 100000\n40015 60118\n32221 48466\n24840 37355\n65139 97714\n75684 100000\n73819 100000\n22158 33333\n27110 40739\n58177 87320\n51145 76772\n78736 100000\n30469 45788\n69601 100000\n84860 100000\n5034 7556\n57686 86580\n64120 96208\n27524 41365\n99576 100000\n64159 96263\n47940 71981\n88083 100000\n10891 16400\n99165 100000\n502 759\n46318 69546\n77647 100000\n65308 97969\n76126 100000\n65674 98512\n64441 96679\n24150 36326\n12535 18882\n31893 47959\n83306 100000\n5708 8566\n31244 46982\n33959 51067\n61967 93009\n22359 33629\n68907 100000\n8597 12957\n99228 100000\n21889 32930\n72845 100000\n84201 100000\n42616 64018\n17063 25659\n80609 100000\n94233 100000\n6494 9765\n39870 59899\n2628 3971\n7474 11263\n34914 52495\n10878 16380\n83986 100000\n1387 2090\n49884 74909\n97501 100000\n96805 100000\n70783 100000\n64784 97200\n61726 92649\n39041 58697\n59729 89668\n69616 100000\n9649 14537\n24685 37124\n42067 63180\n1985 2998\n98014 100000\n83996 100000\n50286 75499\n56653 85007\n27510 41344\n83692 100000\n33193 49929\n79092 100000\n62055 93142\n30443 45746\n22437 33746\n47255 70938\n67832 100000\n91724 100000\n68878 100000\n94749 100000\n19910 29944\n21463 32286\n52400 78671\n6809 10246\n31636 47579\n73621 100000\n74709 100000\n78612 100000\n43122 64752\n7845 11817\n25710 38648\n17050 25641\n90182 100000\n96010 100000\n5081 7626\n54532 81847\n7697 11604\n16190 24345\n8726 13141\n64708 97084\n25072 37701\n30008 45087\n35538 53420\n33874 50939\n26981 40537\n69394 100000\n88108 100000\n41490 62325\n54479 81767\n22087 33226\n30573 45950\n62077 93172\n31397 47213\n97363 100000\n75592 100000\n83689 100000\n8942 13468\n87922 100000\n24528 36886\n75780 100000\n24484 36819\n51978 78027\n53764 80689\n27877 41893\n32294 48578\n2149 3241\n98316 100000\n54178 81320\n39478 59333\n97503 100000\n24928 37482\n59530 89367\n88906 100000\n12612 18993\n29707 44647\n93499 100000\n55362 83094\n89282 100000\n3286 4949\n22831 34336\n14015 21102\n11737 17703\n48420 72723\n67039 100000\n85277 100000\n15903 23905\n17725 26665\n24600 36997\n20249 30465\n40627 61031\n13795 20766\n24130 36293\n34951 52548\n88142 100000\n55500 83302\n49336 74088\n72402 100000\n81381 100000\n35935 54016\n19043 28657\n64916 97390\n86300 100000\n66142 99227\n63518 95323\n79599 100000\n39352 59151\n53030 79595\n42170 63331\n10446 15745\n50683 76083\n84752 100000\n56662 85018\n2883 4355\n66942 100000\n70594 100000\n53343 80059\n46179 69335\n59985 90044\n20113 30261\n46243 69430\n14175 21339\n12690 19110\n77392 100000\n48763 73237\n50324 75556\n27334 41077\n86187 100000\n51286 76984\n98947 100000\n14115 21240\n8337 12564\n20222 30418\n45503 68319\n7399 11144\n98808 100000\n48617 73021\n40535 60880\n92356 100000\n6234 9352\n76061 100000\n38490 57874\n48884 73410\n8917 13430\n96956 100000\n42752 64215\n38009 57144\n28443 42738\n93658 100000\n49628 74528\n37120 55821\n82405 100000\n33680 50645\n74319 100000\n55885 83880\n4788 7183\n22928 34476\n4713 7071\n30648 46063\n29962 45022\n8350 12586\n24449 36762\n40185 60374\n63 94\n67399 100000\n66331 99511\n8573 12923\n79449 100000\n78714 100000\n28316 42541\n50470 75772\n90002 100000\n55890 83886\n85298 100000\n94351 100000\n75372 100000\n10321 15554\n87033 100000\n74713 100000\n46715 70132\n43738 65687\n15756 23675\n13190 19864\n33824 50865\n96963 100000\n1505 2271\n3370 5074\n13392 20164\n3969 5962\n58761 88206\n9231 13902\n34400 51721\n16137 24263\n80373 100000\n55521 83333\n59978 90033\n78709 100000\n23657 35585\n57452 86223\n72230 100000\n17315 26041\n40618 61019\n26610 39976\n75386 100000\n87981 100000\n35658 53598\n69423 100000\n66332 99512\n11907 17954\n59375 89144\n63285 94982\n92200 100000\n89224 100000\n59150 88791\n97362 100000\n90142 100000\n27376 41140\n13785 20749\n60523 90845\n79301 100000\n99762 100000\n12820 19310\n43933 65976\n38354 57669\n3121 4710\n6296 9454\n65295 97945\n82052 100000\n4221 6332\n16006 24060\n78356 100000\n27442 41248\n20661 31087\n23881 35936\n75601 100000\n74123 100000\n22377 33653\n82758 100000\n55689 83590\n59759 89716\n12438 18745\n43327 65070\n50395 75658\n22199 33395\n19363 29125\n38208 57442\n6330 9504\n26934 40471\n27562 41421\n75102 100000\n21974 33056\n69655 100000\n61501 92316\n69298 100000\n52049 78135\n31669 47629\n81407 100000\n60689 91099\n86169 100000\n72527 100000\n2382 3603\n15372 23113\n62139 93267\n81259 100000\n1339 2019\n89133 100000\n40603 60994\n69004 100000\n38427 57781\n67517 100000\n4794 7194\n24717 37174\n25470 38294\n26550 39891\n49921 74962\n386 577\n13288 20011\n30292 45513\n63358 95090\n31971 48078\n67752 100000\n32851 49422\n87480 100000\n84501 100000\n89526 100000\n40453 60764\n92605 100000\n62521 93836\n79228 100000\n34983 52595\n87007 100000\n77184 100000\n10038 15115\n68299 100000\n83451 100000\n34612 52031\n59427 89222\n56185 84329\n94981 100000\n44699 67095\n52579 78931\n59109 88730\n38323 57622\n49013 73600\n86148 100000\n42337 63588\n50779 76225\n63878 95852\n24907 37455\n58606 87971\n27228 40917\n91574 100000\n72931 100000\n64138 96234\n98602 100000\n81741 100000\n76357 100000\n750 1138\n63548 95370\n98519 100000\n14702 22136\n24203 36403\n41647 62562\n99175 100000\n75494 100000\n40132 60292\n89244 100000\n92552 100000\n72257 100000\n46996 70557\n59365 89128\n23100 34740\n80952 100000\n17838 26836\n77984 100000\n66805 100000\n9369 14123\n24962 37532\n62363 93600\n94081 100000\n31736 47729\n89258 100000\n1403 2115\n89059 100000\n26344 39590\n4087 6136\n1477 2226\n20233 30437\n95777 100000\n84072 100000\n31004 46608\n9359 14107\n26695 40106\n49400 74182\n79168 100000\n70559 100000\n47632 71505\n38587 58018\n74279 100000\n23654 35581\n17475 26281\n38032 57176\n11775 17757\n70520 100000\n99992 100000\n47636 71513\n89095 100000\n55 80\n80026 100000\n28412 42692\n44858 67330\n36686 55168\n52696 79109\n78727 100000\n74084 100000\n68228 100000\n10033 15106\n33270 50041\n87588 100000\n28487 42801\n52705 79121\n32945 49563\n97913 100000\n28920 43462\n9546 14379\n68740 100000\n37045 55707\n28378 42640\n34359 51662\n38810 58349\n37781 56809\n30259 45468\n33159 49883\n20793 31289\n69114 100000\n43140 64779\n6062 9098\n66566 99865\n16417 24682\n70185 100000\n26168 39326\n7726 11647\n6436 9680\n98667 100000\n50600 75962\n86252 100000\n33213 49959\n79783 100000\n77159 100000\n54665 82044\n8447 12735\n50344 75585\n59251 88948\n52410 78687\n12520 18860\n29329 44078\n98818 100000\n36955 55573\n76975 100000\n62243 93426\n70176 100000\n86653 100000\n78815 100000\n40863 61383\n59867 89867\n69441 100000\n34855 52411\n16857 25342\n20783 31273\n59476 89293\n84515 100000\n41674 62598\n78994 100000\n78371 100000\n46216 69389\n70944 100000\n16025 24091\n74329 100000\n12454 18769\n40602 60992\n64373 96577\n94519 100000\n53712 80608\n38416 57761\n18782 28263\n63429 95196\n46957 70500\n69014 100000\n30961 46545\n22588 33972\n32454 48818\n6046 9076\n63844 95805\n46555 69902\n39503 59369\n29291 44021\n23908 35978\n62054 93141\n34345 51644\n68577 100000\n1991 3006\n51084 76682\n92470 100000\n24174 36361\n43394 65169\n27030 40616\n15501 23304\n56057 84144\n95482 100000\n42983 64556\n68303 100000\n22852 34366\n62540 93866\n17518 26349\n67451 100000\n19506 29335\n50922 76436\n84029 100000\n1486 2240\n38287 57565\n19665 29570\n57331 86043\n58777 88234\n68708 100000\n74009 100000\n33481 50348\n85296 100000\n29195 43875\n70359 100000\n33502 50378\n63318 95027\n42220 63406\n21038 31649\n28389 42656\n69361 100000\n48671 73098\n30420 45711\n82607 100000\n61023 91609\n46699 70107\n74914 100000\n40892 61425\n81567 100000\n2658 4015\n86162 100000\n87091 100000\n73185 100000\n34034 51184\n52170 78316\n48699 73147\n50509 75828\n96698 100000\n71933 100000\n85647 100000\n6851 10309\n27770 41739\n57658 86536\n28671 43084\n58494 87800\n39284 59045\n42186 63355\n11115 16736\n5672 8509\n18245 27454\n87309 100000\n78490 100000\n70800 100000\n25565 38425\n95869 100000\n68672 100000\n61611 92475\n75146 100000\n80755 100000\n86208 100000\n85516 100000\n38391 57722\n13007 19594\n93001 100000\n96278 100000\n1543 2333\n8530 12858\n74736 100000\n65911 98864\n54523 81834\n26778 40239\n38317 57611\n17697 26621\n76912 100000\n97439 100000\n53804 80755\n99897 100000\n90968 100000\n22076 33208\n58351 87589\n94686 100000\n34756 52256\n23174 34850\n84463 100000\n86041 100000\n23407 35202\n57455 86227\n12720 19155\n25611 38498\n86192 100000\n29841 44839\n92571 100000\n6020 9036\n2405 3637\n54828 82291\n94154 100000\n90912 100000\n58930 88462\n19422 29213\n90556 100000\n206 306\n76510 100000\n60924 91459\n59360 89119\n75721 100000\n48282 72514\n4742 7115\n66843 100000\n97523 100000\n14020 21107\n41801 62789\n35196 52909\n54741 82158\n85897 100000\n90252 100000\n58694 88105\n76129 100000\n66115 99184\n48012 72093\n10727 16155\n8274 12470\n79059 100000\n51841 77812\n89259 100000\n80064 100000\n29960 45019\n14389 21670\n28046 42139\n3934 5906\n20102 30245\n68304 100000\n99266 100000\n29691 44621\n84141 100000\n47339 71068\n68029 100000\n55703 83611\n32635 49098\n55677 83569\n88273 100000\n25291 38026\n53214 79867\n57816 86772\n33472 50336\n84307 100000\n70300 100000\n36545 54958\n92443 100000\n92719 100000\n95487 100000\n57492 86283\n33618 50554\n38787 58317\n6456 9711\n40145 60312\n58776 88232\n7479 11271\n69536 100000\n31075 46716\n49428 74223\n34353 51654\n68729 100000\n30820 46320\n71790 100000\n25215 37912\n95692 100000\n65793 98688\n51121 76735\n7637 11512\n77024 100000\n59167 88818\n79813 100000\n12622 19008\n77821 100000\n2860 4320\n33801 50828\n41529 62382\n58315 87535\n61607 92469\n62434 93711\n48374 72652\n54542 81864\n34799 52324\n16134 24260\n78295 100000\n1819 2758\n71807 100000\n61565 92412\n64324 96506\n81950 100000\n82783 100000\n24077 36212\n34876 52440\n8302 12516\n80620 100000\n22650 34070\n79932 100000\n47369 71109\n48659 73081\n77053 100000\n18593 27972\n40472 60792\n7435 11199\n65949 98927\n8559 12902\n51879 77876\n85162 100000\n5289 7953\n62583 93937\n68230 100000\n16223 24395\n51783 77726\n87625 100000\n9518 14339\n66618 99941\n50015 75103\n14174 21337\n41024 61618\n13754 20703\n36309 54603\n60744 91180\n45221 67886\n55083 82670\n27333 41075\n27360 41115\n35436 53268\n72586 100000\n86374 100000\n11924 17979\n70530 100000\n56586 84912\n63245 94926\n5579 8371\n8280 12481\n28350 42596\n79816 100000\n94213 100000\n6141 9219\n63341 95063\n74117 100000\n51221 76884\n43022 64611\n15203 22871\n9601 14460\n92649 100000\n34295 51567\n25305 38048\n78125 100000\n23942 36028\n70328 100000\n72920 100000\n49484 74308\n78170 100000\n49931 74976\n55768 83707\n12016 18118\n59696 89615\n96513 100000\n84524 100000\n66925 100000\n57973 87010\n18588 27964\n29202 43887\n91398 100000\n35251 52988\n60502 90814\n63691 95582\n61068 91676\n96640 100000\n90705 100000\n96574 100000\n37292 56079\n17386 26152\n63278 94972\n70757 100000\n10367 15625\n86331 100000\n43675 65592\n93300 100000\n20557 30933\n25607 38491\n28323 42553\n15917 23923\n29608 44497\n3430 5158\n65492 98241\n53402 80149\n17709 26639\n73680 100000\n35141 52825\n90017 100000\n9951 14979\n85127 100000\n27908 41938\n48929 73475\n8716 13126\n80090 100000\n57980 87021\n14916 22455\n32042 48182\n38607 58048\n7676 11572\n37636 56592\n81693 100000\n83353 100000\n66616 99938\n35585 53492\n48741 73210\n35592 53503\n52725 79147\n78030 100000\n1933 2919\n79939 100000\n41613 62506\n82313 100000\n86412 100000\n91727 100000\n38988 58621\n20462 30792\n46666 70060\n50137 75274\n90046 100000\n80311 100000\n55915 83926\n10777 16231\n8346 12580\n97073 100000\n49624 74522\n91189 100000\n1424 2145\n16697 25106\n66707 100000\n67458 100000\n3752 5630\n45553 68394\n6652 10003\n94502 100000\n16317 24532\n61394 92150\n92520 100000\n32324 48625\n1996 3012\n70990 100000\n590 898\n13432 20223\n90552 100000\n88991 100000\n43762 65723\n42917 64456\n45790 68744\n78032 100000\n90474 100000\n91617 100000\n24242 36461\n86439 100000\n30378 45647\n99811 100000\n93486 100000\n8305 12520\n97778 100000\n36026 54156\n55450 83226\n87585 100000\n79229 100000\n25191 37879\n71459 100000\n75846 100000\n36204 54436\n86404 100000\n59818 89795\n80533 100000\n30314 45548\n33835 50882\n55957 83991\n22787 34268\n80357 100000\n74153 100000\n37775 56800\n69744 100000\n59047 88639\n33414 50251\n71205 100000\n31094 46745\n72610 100000\n78626 100000\n63342 95065\n18644 28048\n28877 43396\n44192 66359\n1426 2149\n19977 30051\n55311 83021\n63627 95488\n35989 54098\n87664 100000\n6292 9447\n54996 82542\n29191 43869\n65985 98980\n67228 100000\n32488 48866\n5677 8517\n99300 100000\n83734 100000\n37647 56608\n17644 26542\n20037 30143\n68047 100000\n98957 100000\n68512 100000\n47904 71922\n38468 57841\n88449 100000\n17618 26504\n21353 32119\n95997 100000\n39882 59915\n16339 24566\n97437 100000\n96753 100000\n2094 3156\n48068 72185\n84371 100000\n42415 63701\n71739 100000\n75208 100000\n87696 100000\n8508 12825\n38249 57507\n2940 4438\n67900 100000\n88149 100000\n6483 9747\n55224 82885\n37895 56981\n55348 83072\n16412 24675\n79395 100000\n18660 28075\n92916 100000\n17561 26414\n52850 79327\n3871 5810\n41371 62139\n92919 100000\n68288 100000\n97693 100000\n84758 100000\n65040 97563\n76884 100000\n47172 70811\n35804 53822\n61111 91737\n42431 63725\n94639 100000\n72539 100000\n8176 12319\n45481 68289\n4132 6200\n71664 100000\n99285 100000\n24639 37057\n39429 59262\n79931 100000\n27240 40936\n12073 18205\n22169 33349\n56927 85430\n98306 100000\n10116 15236\n76405 100000\n3172 4786\n71351 100000\n29979 45046\n60130 90261\n45063 67654\n3559 5337\n50076 75189\n31376 47179\n73915 100000\n39489 59346\n37612 56554\n68467 100000\n63220 94890\n58756 88200\n5004 7509\n8061 12145\n23264 34978\n82981 100000\n44029 66118\n20965 31549\n91007 100000\n36556 54974\n85847 100000\n13429 20219\n93963 100000\n3857 5792\n59843 89832\n52444 78735\n2027 3058\n91314 100000\n57487 86275\n37012 55660\n37280 56061\n49413 74202\n86827 100000\n57167 85801\n1762 2673\n56310 84518\n7426 11186\n89569 100000\n53508 80304\n9042 13618\n42806 64293\n11502 17334\n74810 100000\n41652 62570\n27663 41575\n12120 18277\n48586 72977\n12755 19211\n51821 77782\n71651 100000\n55968 84008\n14127 21259\n94321 100000\n99023 100000\n36660 55131\n60472 90769\n18603 27986\n41920 62971\n97303 100000\n22542 33901\n85797 100000\n15429 23197\n74770 100000\n9885 14879\n22942 34498\n97248 100000\n70970 100000\n9080 13672\n87435 100000\n44280 66483\n40485 60813\n66422 99652\n97760 100000\n51683 77580\n2092 3153\n8589 12946\n4470 6706\n56485 84765\n75381 100000\n20827 31341\n76673 100000\n75369 100000\n67905 100000\n90408 100000\n96341 100000\n71365 100000\n90173 100000\n27193 40864\n16340 24568\n89601 100000\n39336 59129\n88888 100000\n61770 92714\n53163 79790\n78980 100000\n38481 57861\n63780 95709\n70498 100000\n663 1007\n25687 38613\n41458 62272\n38290 57569\n933 1416\n78594 100000\n67430 100000\n37617 56559\n35309 53082\n27629 41525\n93237 100000\n87411 100000\n62304 93516\n59224 88907\n68477 100000\n88513 100000\n64547 96842\n69874 100000\n56308 84514\n51724 77637\n13882 20903\n39624 59547\n76150 100000\n70858 100000\n39365 59170\n81836 100000\n44540 66856\n63371 95107\n37624 56571\n48937 73489\n11553 17408\n54754 82181\n67660 100000\n51247 76926\n68660 100000\n7709 11622\n44427 66693\n35014 52639\n46583 69941\n49845 74844\n99721 100000\n71485 100000\n38705 58191\n84958 100000\n63382 95121\n95224 100000\n69504 100000\n43348 65103\n45619 68491\n78304 100000\n64062 96121\n82732 100000\n56885 85372\n66399 99615\n48124 72268\n87379 100000\n44552 66877\n79957 100000\n57662 86542\n28792 43265\n60707 91124\n9394 14157\n42824 64319\n88635 100000\n18197 27384\n89567 100000\n31434 47269\n96146 100000\n50589 75944\n40746 61208\n24808 37307\n40605 60997\n33646 50595\n3182 4800\n98880 100000\n71386 100000\n18541 27894\n36843 55398\n6623 9954\n93062 100000\n45205 67862\n51 73\n83496 100000\n38372 57693\n49684 74607\n10701 16115\n19505 29333\n24555 36930\n19115 28756\n55245 82915\n74758 100000\n86859 100000\n53253 79922\n59903 89921\n6261 9398\n92138 100000\n65921 98879\n72240 100000\n89685 100000\n76433 100000\n52814 79275\n91066 100000\n48555 72934\n62384 93633\n71663 100000\n55544 83370\n16815 25278\n96458 100000\n70748 100000\n65734 98597\n86774 100000\n18869 28396\n15513 23321\n77562 100000\n68652 100000\n21339 32099\n96260 100000\n76966 100000\n24399 36690\n65569 98350\n75136 100000\n17167 25812\n76778 100000\n51453 77235\n16514 24826\n21912 32963\n28233 42417\n88854 100000\n67371 100000\n60252 90438\n17417 26198\n31100 46755\n6517 9798\n42199 63375\n69420 100000\n57928 86942\n40109 60258\n85105 100000\n23642 35563\n91163 100000\n65069 97609\n28596 42973\n81179 100000\n39522 59396\n21898 32943\n17242 25925\n99527 100000\n47108 70715\n80584 100000\n17104 25716\n70029 100000\n96362 100000\n73540 100000\n74450 100000\n94530 100000\n48717 73175\n86899 100000\n41754 62715\n70448 100000\n48081 72203\n77856 100000\n1429 2154\n29245 43950\n84541 100000\n3729 5593\n54474 81758\n57774 86711\n72989 100000\n97240 100000\n87598 100000\n31221 46947\n95944 100000\n42809 64298\n21735 32695\n15416 23180\n85279 100000\n270 406\n5524 8295\n99834 100000\n1717 2600\n10285 15497\n7656 11542\n73310 100000\n189 278\n7548 11379\n74203 100000\n17653 26556\n44823 67284\n93813 100000\n65137 97711\n4936 7409\n19318 29058\n90798 100000\n16443 24720\n54024 81082\n50936 76458\n2995 4518\n11080 16680\n951 1440\n75322 100000\n3908 5864\n11904 17950\n6036 9061\n56896 85387\n43803 65783\n87723 100000\n4901 7355\n30852 46372\n10176 15325\n3439 5169\n43681 65600\n48436 72748\n73435 100000\n14187 21358\n4209 6318\n88477 100000\n60022 90099\n20502 30852\n97480 100000\n82164 100000\n60842 91335\n39520 59394\n29640 44543\n18153 27319\n75176 100000\n62016 93084\n10453 15754\n48619 73024\n56863 85340\n72765 100000\n57369 86098\n72457 100000\n78513 100000\n37252 56017\n86509 100000\n91392 100000\n52744 79172\n4467 6701\n6805 10239\n64305 96479\n74546 100000\n24096 36241\n569 863\n39636 59566\n23875 35927\n49822 74809\n67525 100000\n24627 37036\n20683 31124\n4285 6431\n52912 79421\n83950 100000\n65606 98408\n77761 100000\n14034 21129\n65208 97819\n12572 18937\n67219 100000\n71657 100000\n89219 100000\n2482 3753\n34850 52403\n8490 12797\n27860 41869\n44727 67134\n22049 33165\n73931 100000\n77291 100000\n7831 11800\n72821 100000\n19555 29408\n65384 98074\n98387 100000\n34494 51857\n62039 93118\n19859 29870\n86087 100000\n43964 66023\n41072 61687\n12337 18591\n19149 28807\n34081 51255\n48290 72527\n88175 100000\n94820 100000\n18461 27781\n92797 100000\n90489 100000\n67975 100000\n14752 22214\n5637 8459\n81376 100000\n41145 61795\n3882 5825\n95183 100000\n9294 14002\n52479 78782\n15657 23534\n78853 100000\n71902 100000\n66990 100000\n75241 100000\n11149 16790\n68674 100000\n33607 50536\n87248 100000\n76955 100000\n18473 27798\n43889 65912\n51682 77578\n16738 25164\n74554 100000\n17146 25780\n19626 29511\n56474 84747\n90670 100000\n72113 100000\n97640 100000\n70129 100000\n61666 92565\n39101 58784\n99456 100000\n91316 100000\n17453 26247\n98681 100000\n40093 60234\n3990 5992\n90566 100000\n67812 100000\n84224 100000\n60909 91438\n25789 38765\n85244 100000\n45916 68936\n91317 100000\n98299 100000\n37794 56827\n37898 56986\n49450 74255\n43967 66027\n39921 59973\n64044 96095\n28063 42166\n78016 100000\n60387 90644\n24793 37286\n77496 100000\n32354 48667\n73539 100000\n49878 74899\n18932 28486\n33152 49873\n72950 100000\n46665 70059\n98756 100000\n98443 100000\n16018 24081\n9704 14616\n63280 94974\n25769 38737\n65321 97988\n39289 59052\n57417 86169\n44082 66198\n71216 100000\n85080 100000\n55159 82791\n39048 58708\n74130 100000\n22585 33969\n72177 100000\n52278 78481\n2101 3167\n63599 95448\n93936 100000\n62839 94325\n50166 75317\n95675 100000\n7947 11975\n17336 26078\n80570 100000\n25597 38476\n53226 79884\n42062 63174\n83738 100000\n97364 100000\n32145 48342\n50437 75723\n80159 100000\n91589 100000\n62145 93278\n43273 64983\n55610 83467\n19881 29901\n70877 100000\n13626 20512\n8004 12062\n75073 100000\n19729 29669\n95670 100000\n84697 100000\n12431 18736\n9808 14769\n8708 13118\n59099 88716\n12734 19178\n7340 11057\n47542 71371\n68362 100000\n15115 22753\n83898 100000\n7713 11626\n38280 57554\n29620 44514\n73149 100000\n25735 38686\n17570 26429\n53796 80742\n73282 100000\n22923 34470\n10965 16512\n7375 11111\n72439 100000\n2799 4225\n98948 100000\n67249 100000\n52236 78417\n72582 100000\n50334 75570\n82839 100000\n6773 10189\n94804 100000\n65135 97709\n62282 93483\n58173 87315\n93746 100000\n81437 100000\n64242 96384\n15099 22730\n56899 85392\n48502 72855\n92495 100000\n46570 69923\n39139 58831\n57229 85895\n54935 82449\n38646 58104\n61881 92883\n53174 79807\n20671 31102\n48991 73568\n70526 100000\n5743 8616\n4865 7302\n28602 42983\n73284 100000\n76534 100000\n97354 100000\n27335 41078\n53252 79921\n27099 40724\n89443 100000\n17145 25779\n46991 70549\n29595 44479\n70584 100000\n99465 100000\n41134 61779\n8576 12928\n28962 43526\n61086 91703\n45731 68657\n42191 63362\n46678 70078\n92105 100000\n87781 100000\n26226 39414\n26957 40504\n20889 31436\n10694 16104\n73590 100000\n28810 43295\n52423 78706\n30419 45710\n79294 100000\n31360 47154\n66654 99995\n30595 45984\n25322 38069\n85696 100000\n87530 100000\n41537 62394\n56051 84136\n85803 100000\n56255 84435\n59775 89734\n49689 74613\n67992 100000\n30920 46476\n81888 100000\n21922 32978\n98620 100000\n63779 95708\n43369 65133\n50673 76068\n52520 78846\n37405 56246\n57566 86394\n40413 60705\n87424 100000\n54312 81532\n35953 54044\n35128 52805\n47315 71027\n70437 100000\n66278 99433\n21124 31775\n31685 47650\n98856 100000\n96701 100000\n49277 74001\n48382 72665\n25297 38034\n72852 100000\n40168 60349\n2653 4008\n54736 82150\n49214 73907\n87242 100000\n53153 79775\n26910 40437\n7675 11571\n52797 79250\n78939 100000\n87574 100000\n65675 98513\n22819 34319\n33009 49659\n52681 79086\n64979 97478\n21770 32747\n96387 100000\n4444 6668\n41720 62665\n28709 43139\n39795 59788\n82987 100000\n17565 26420\n73827 100000\n62102 93211\n21678 32609\n27628 41523\n3650 5472\n74338 100000\n30835 46347\n33895 50971\n35639 53571\n95492 100000\n68278 100000\n36738 55241\n24037 36157\n65536 98305\n65567 98346\n3205 4838\n63535 95349\n44766 67198\n5187 7792\n54348 81579\n73126 100000\n79583 100000\n18118 27268\n54981 82519\n93920 100000\n25847 38852\n29005 43589\n60916 91448\n2604 3931\n55389 83132\n66576 99881\n42265 63478\n97142 100000\n25800 38779\n46992 70550\n34296 51568\n95506 100000\n83241 100000\n41628 62533\n41214 61898\n57084 85675\n5918 8886\n78951 100000\n5921 8891\n98039 100000\n3661 5492\n64828 97262\n56809 85255\n41049 61654\n12089 18233\n47545 71374\n5274 7927\n12236 18435\n85965 100000\n18459 27779\n70159 100000\n32990 49630\n62411 93676\n5840 8765\n2259 3414\n81580 100000\n7543 11371\n86781 100000\n58784 88245\n15914 23918\n84537 100000\n27627 41521\n25085 37721\n34367 51676\n82920 100000\n60335 90566\n70790 100000\n28166 42318\n89778 100000\n71465 100000\n15858 23834\n64266 96423\n22538 33896\n48445 72765\n9636 14514\n99416 100000\n10323 15557\n87048 100000\n55826 83795\n83276 100000\n1747 2649\n40827 61328\n67914 100000\n88575 100000\n72859 100000\n22234 33445\n92114 100000\n88931 100000\n29796 44776\n19869 29883\n16564 24903\n33754 50759\n50176 75332\n95597 100000\n76472 100000\n49855 74861\n91476 100000\n85220 100000\n54173 81312\n82065 100000\n7393 11136\n75000 100000\n35551 53440\n77898 100000\n29502 44334\n2212 3340\n15842 23809\n20090 30225\n916 1390\n2109 3179\n81867 100000\n29484 44307\n7555 11388\n37621 56566\n61986 93034\n46881 70397\n80863 100000\n13608 20483\n99663 100000\n43124 64754\n66804 100000\n97929 100000\n46165 69314\n53722 80622\n58983 88542\n27147 40796\n45421 68197\n27282 40998\n66527 99804\n76380 100000\n84731 100000\n74803 100000\n56732 85133\n77277 100000\n13339 20089\n2611 3944\n67738 100000\n53068 79650\n38941 58548\n34266 51528\n47347 71078\n53668 80541\n53566 80391\n28660 43069\n65280 97925\n30825 46329\n89251 100000\n21514 32352\n27383 41153\n80741 100000\n12160 18329\n85131 100000\n41831 62831\n27398 41177\n54442 81714\n15537 23353\n76634 100000\n35123 52796\n63805 95744\n34370 51681\n86156 100000\n72634 100000\n28574 42939\n85226 100000\n65166 97757\n95333 100000\n82494 100000\n33461 50317\n31624 47561\n9702 14613\n98848 100000\n5970 8963\n73662 100000\n72506 100000\n37848 56909\n71872 100000\n45268 67965\n9196 13849\n57203 85857\n93896 100000\n59228 88912\n28581 42951\n17111 25727\n32884 49471\n70692 100000\n36808 55342\n88675 100000\n34664 52112\n43841 65842\n29132 43778\n84972 100000\n35414 53234\n12574 18940\n47780 71731\n69609 100000\n85431 100000\n46186 69346\n47900 71916\n61758 92696\n85265 100000\n1598 2414\n77433 100000\n65946 98921\n74162 100000\n63130 94758\n67177 100000\n71218 100000\n34919 52503\n16931 25461\n18717 28163\n32521 48921\n88930 100000\n78937 100000\n171 255\n97711 100000\n61804 92767\n68646 100000\n85069 100000\n50578 75929\n61177 91834\n69456 100000\n25987 39056\n63029 94605\n99928 100000\n90218 100000\n91472 100000\n40188 60379\n4101 6157\n31889 47954\n60145 90283\n313 467\n36422 54776\n56546 84854\n21788 32773\n10584 15936\n31917 47995\n60209 90370\n50941 76466\n82130 100000\n70886 100000\n4224 6336\n62100 93208\n60180 90329\n5671 8507\n75077 100000\n6702 10077\n90901 100000\n35465 53311\n74984 100000\n76118 100000\n67857 100000\n94429 100000\n78755 100000\n40012 60112\n90235 100000\n36256 54522\n49249 73962\n16621 24991\n10443 15742\n36511 54909\n31281 47035\n28262 42461\n84093 100000\n58219 87378\n18268 27493\n23161 34831\n53415 80170\n44253 66441\n41140 61786\n13720 20650\n24763 37240\n93122 100000\n77536 100000\n69813 100000\n70909 100000\n27299 41026\n12139 18301\n81409 100000\n9262 13953\n57019 85572\n55009 82560\n8752 13181\n49793 74771\n16053 24134\n93984 100000\n75513 100000\n20544 30915\n99278 100000\n32986 49624\n54413 81669\n44071 66183\n63899 95883\n35913 53984\n12938 19491\n70045 100000\n18146 27311\n65130 97700\n85839 100000\n69307 100000\n88482 100000\n38253 57513\n55110 82714\n94727 100000\n2888 4364\n88791 100000\n94998 100000\n66853 100000\n69484 100000\n71568 100000\n1793 2721\n78388 100000\n76839 100000\n43329 65073\n45578 68430\n89041 100000\n15318 23037\n62990 94547\n97470 100000\n54369 81608\n34403 51726\n36892 55477\n57945 86966\n2163 3263\n98946 100000\n45708 68620\n86344 100000\n50046 75145\n55816 83782\n20766 31247\n59800 89771\n68267 100000\n3241 4886\n46894 70414\n51180 76825\n67400 100000\n3497 5249\n66025 99040\n87097 100000\n11051 16639\n37802 56840\n5255 7894\n6283 9431\n12079 18216\n67065 100000\n54267 81458\n27647 41552\n10449 15750\n68570 100000\n94096 100000\n89313 100000\n35717 53692\n21972 33053\n21290 32032\n26483 39795\n40285 60515\n2271 3433\n12580 18948\n29864 44877\n41339 62086\n37314 56113\n20441 30757\n85572 100000\n35228 52956\n7649 11530\n39521 59395\n47915 71940\n53598 80438\n8728 13144\n37598 56533\n4763 7145\n51962 78001\n62454 93739\n91856 100000\n77074 100000\n62693 94104\n29843 44843\n61889 92894\n68398 100000\n24085 36225\n15274 22974\n9034 13605\n7267 10949\n50468 75769\n10816 16285\n73018 100000\n63187 94841\n53783 80719\n39618 59536\n32409 48747\n17038 25620\n86543 100000\n78007 100000\n82173 100000\n47014 70584\n69136 100000\n56721 85113\n73393 100000\n4818 7233\n9992 15043\n39575 59472\n45616 68486\n60902 91427\n53479 80262\n96253 100000\n28576 42941\n25181 37864\n82951 100000\n46839 70328\n38995 58634\n32634 49097\n27488 41312\n83672 100000\n14655 22068\n49680 74601\n43326 65068\n18199 27388\n25044 37660\n47412 71177\n12591 18962\n42207 63387\n77163 100000\n40970 61540\n96827 100000\n19331 29076\n82553 100000\n67200 100000\n229 340\n43909 65939\n31111 46774\n85976 100000\n61776 92726\n35113 52783\n72961 100000\n7662 11552\n1665 2519\n46517 69846\n61563 92409\n32659 49134\n89586 100000\n11245 16936\n31455 47303\n26790 40256\n34171 51388\n85008 100000\n16896 25404\n37425 56275\n22335 33598\n97157 100000\n99492 100000\n25972 39035\n6073 9114\n41210 61892\n29610 44500\n15868 23850\n46206 69374\n16705 25120\n33298 50079\n56697 85073\n73156 100000\n74714 100000\n26423 39709\n38202 57434\n99108 100000\n51384 77137\n82654 100000\n56787 85220\n45113 67725\n67441 100000\n50354 75600\n74253 100000\n93469 100000\n23668 35601\n33122 49826\n11259 16956\n58439 87717\n25030 37638\n4452 6680\n89615 100000\n30862 46388\n2377 3595\n58161 87296\n94293 100000\n21932 32993\n41376 62146\n39173 58879\n72175 100000\n90005 100000\n37799 56836\n23561 35436\n20879 31421\n75123 100000\n6929 10424\n50622 75994\n93631 100000\n3837 5758\n45655 68540\n210 312\n80722 100000\n81050 100000\n68412 100000\n30586 45969\n9470 14269\n3701 5549\n17702 26628\n16741 25168\n5050 7581\n84232 100000\n16918 25438\n5146 7726\n98347 100000\n26637 40017\n68695 100000\n22755 34224\n68711 100000\n40656 61075\n69202 100000\n53265 79940\n76948 100000\n91641 100000\n6678 10042\n56291 84488\n25491 38323\n20888 31435\n56854 85325\n77864 100000\n78751 100000\n48618 73023\n19358 29115\n65370 98054\n57147 85772\n79325 100000\n67571 100000\n87970 100000\n33442 50290\n39949 60017\n20727 31189\n5794 8692\n79894 100000\n39970 60048\n69808 100000\n92973 100000\n66838 100000\n48397 72688\n72996 100000\n93874 100000\n27088 40706\n9050 13629\n45782 68732\n57286 85976\n9120 13732\n27939 41987\n16316 24531\n18323 27571\n85894 100000\n59004 88574\n39743 59720\n87703 100000\n74801 100000\n90119 100000\n82774 100000\n68096 100000\n75875 100000\n17197 25857\n89998 100000\n78690 100000\n2479 3749\n37484 56366\n31196 46905\n41 60\n54786 82232\n77250 100000\n84185 100000\n81077 100000\n47732 71661\n93562 100000\n87716 100000\n13368 20134\n65045 97570\n96333 100000\n33563 50472\n19024 28627\n22603 33997\n3236 4879\n37882 56962\n70060 100000\n31916 47993\n17183 25834\n3348 5040\n8833 13306\n46221 69396\n10766 16213\n8645 13027\n99988 100000\n39691 59647\n40617 61018\n28242 42430\n50840 76314\n84734 100000\n82032 100000\n9320 14044\n67786 100000\n83121 100000\n81086 100000\n99477 100000\n25183 37867\n47045 70630\n13230 19920\n96946 100000\n42875 64394\n14661 22078\n45045 67626\n71169 100000\n64802 97227\n78688 100000\n34615 52035\n50323 75554\n82681 100000\n9427 14207\n59101 88718\n73105 100000\n34102 51283\n66328 99506\n30999 46600\n67406 100000\n18334 27587\n92198 100000\n8068 12157\n22871 34397\n3030 4573\n28106 42228\n428 645\n70170 100000\n26961 40509\n80368 100000\n88728 100000\n79037 100000\n57180 85820\n77766 100000\n65046 97572\n4129 6197\n37782 56810\n44416 66678\n59213 88887\n85788 100000\n73752 100000\n35484 53338\n84290 100000\n7582 11430\n96122 100000\n96275 100000\n72549 100000\n85245 100000\n79831 100000\n4912 7373\n31016 46628\n99609 100000\n53472 80251\n53126 79733\n2877 4345\n98065 100000\n90029 100000\n83675 100000\n27084 40701\n80413 100000\n39152 58852\n89522 100000\n92359 100000\n30607 46002\n64080 96150\n3218 4856\n95611 100000\n97772 100000\n27229 40918\n84730 100000\n58662 88052\n63969 95984\n97456 100000\n11917 17969\n21948 33018\n64225 96359\n39993 60085\n55070 82648\n79095 100000\n44501 66797\n11573 17442\n95338 100000\n17340 26084\n26115 39246\n70013 100000\n50351 75597\n63395 95144\n57747 86672\n66406 99624\n59534 89373\n56573 84893\n35299 53065\n37753 56769\n82418 100000\n50133 75267\n71435 100000\n79108 100000\n8575 12926\n65552 98327\n98389 100000\n46403 69674\n75276 100000\n28087 42198\n75203 100000\n76960 100000\n21358 32127\n32561 48978\n67722 100000\n41087 61713\n62848 94339\n79879 100000\n55507 83314\n45469 68271\n88339 100000\n85241 100000\n23693 35646\n59352 89107\n6050 9081\n54393 81641\n89840 100000\n74055 100000\n74454 100000\n85724 100000\n10373 15632\n3477 5220\n99198 100000\n40563 60930\n84885 100000\n87561 100000\n21161 31832\n66743 100000\n51215 76875\n4528 6792\n52522 78850\n11636 17542\n46237 69422\n51095 76698\n21310 32063\n49211 73903\n73145 100000\n86975 100000\n50778 76224\n8970 13511\n85358 100000\n8277 12475\n42046 63149\n58311 87529\n20213 30406\n95293 100000\n19694 29617\n37161 55880\n95888 100000\n13489 20306\n9210 13869\n68403 100000\n50813 76273\n53458 80230\n24281 36519\n37824 56873\n5988 8986\n41226 61919\n60466 90759\n51943 77972\n14495 21830\n4256 6385\n85128 100000\n28668 43079\n92203 100000\n97444 100000\n46229 69408\n84614 100000\n35003 52622\n10792 16252\n15161 22814\n39201 58919\n63734 95640\n22293 33539\n3116 4703\n24357 36628\n15819 23772\n31848 47894\n99432 100000\n78950 100000\n26502 39823\n30598 45989\n91058 100000\n33276 50050\n43186 64846\n67197 100000\n45692 68599\n46156 69299\n94316 100000\n32725 49226\n59517 89347\n82517 100000\n83165 100000\n72297 100000\n99092 100000\n95739 100000\n63566 95402\n76401 100000\n44880 67366\n29386 44160\n12789 19261\n48228 72431\n38623 58073\n10284 15496\n27231 40920\n43726 65666\n48779 73259\n25000 37592\n24613 37017\n92444 100000\n22370 33644\n97070 100000\n26564 39911\n55898 83900\n11609 17498\n67436 100000\n54765 82198\n67829 100000\n8629 13006\n58269 87459\n28004 42082\n72286 100000\n82995 100000\n55321 83035\n72060 100000\n1944 2937\n19515 29350\n64706 97082\n23206 34895\n59885 89894\n73384 100000\n33302 50085\n71603 100000\n61309 92028\n9500 14313\n92624 100000\n7705 11616\n55900 83903\n27719 41661\n56718 85107\n7345 11066\n54904 82402\n90644 100000\n96339 100000\n87177 100000\n83187 100000\n68394 100000\n29061 43674\n74341 100000\n22348 33614\n80153 100000\n77493 100000\n3960 5947\n25173 37852\n37973 57089\n90439 100000\n54134 81252\n46792 70252\n70472 100000\n86069 100000\n95113 100000\n18247 27458\n14739 22194\n63447 95215\n66295 99456\n2736 4134\n36107 54284\n4964 7445\n95236 100000\n30137 45282\n91377 100000\n61974 93018\n34054 51214\n6123 9192\n97634 100000\n83676 100000\n88519 100000\n12141 18304\n27039 40630\n99777 100000\n12545 18897\n79522 100000\n79610 100000\n98159 100000\n73204 100000\n22645 34060\n92753 100000\n9622 14493\n94470 100000\n73871 100000\n56592 84921\n11082 16683\n87770 100000\n23265 34980\n62676 94075\n35543 53428\n21217 31918\n59196 88860\n75516 100000\n54243 81418\n53155 79779\n62117 93235\n25825 38816\n97842 100000\n86107 100000\n88612 100000\n35151 52839\n74353 100000\n60746 91183\n60835 91322\n69212 100000\n37474 56351\n34588 51994\n48144 72304\n78790 100000\n74746 100000\n30166 45328\n96976 100000\n52620 78991\n74195 100000\n51880 77878\n8552 12892\n10871 16370\n98357 100000\n59779 89741\n25878 38900\n19902 29933\n38852 58417\n5379 8084\n2788 4211\n57157 85787\n78556 100000\n74308 100000\n9185 13831\n31441 47281\n95685 100000\n69120 100000\n57911 86917\n24989 37574\n20403 30701\n80670 100000\n43168 64824\n80705 100000\n49585 74464\n14727 22173\n91609 100000\n76744 100000\n22823 34325\n46152 69293\n70521 100000\n64724 97109\n73109 100000\n73407 100000\n52784 79230\n90366 100000\n40644 61056\n2237 3379\n64323 96504\n58448 87731\n98671 100000\n38544 57958\n73330 100000\n92820 100000\n57058 85633\n82613 100000\n95414 100000\n48121 72263\n69343 100000\n36963 55583\n50588 75943\n56074 84168\n34306 51583\n69885 100000\n90449 100000\n43974 66038\n64710 97087\n73960 100000\n83965 100000\n90872 100000\n5902 8861\n8321 12541\n73798 100000\n18742 28203\n16402 24658\n86607 100000\n37185 55915\n98715 100000\n18524 27873\n51193 76844\n45121 67736\n53628 80484\n95536 100000\n54195 81343\n8991 13547\n96941 100000\n7099 10697\n89987 100000\n97357 100000\n42763 64232\n4476 6716\n24867 37396\n49342 74098\n3062 4620\n15443 23219\n54842 82311\n88908 100000\n56079 84175\n76294 100000\n74038 100000\n61526 92357\n36945 55555\n36206 54440\n48517 72879\n23526 35379\n55272 82958\n28652 43060\n2263 3421\n87649 100000\n4697 7049\n62855 94349\n5885 8836\n38561 57983\n67972 100000\n40923 61470\n68100 100000\n38185 57404\n91002 100000\n56886 85373\n86024 100000\n9797 14754\n84057 100000\n62955 94493\n94745 100000\n60291 90500\n16235 24413\n6304 9463\n73581 100000\n30496 45828\n74182 100000\n37300 56092\n67347 100000\n59221 88902\n39026 58675\n82546 100000\n843 1281\n25826 38818\n29400 44183\n56505 84793\n74368 100000\n59279 88994\n94411 100000\n34459 51809\n51735 77654\n78732 100000\n64823 97255\n79027 100000\n61887 92892\n24413 36712\n4292 6442\n22821 34322\n2219 3349\n97536 100000\n30739 46207\n87679 100000\n20601 31000\n51179 76824\n35647 53582\n56098 84202\n24758 37233\n90950 100000\n55128 82744\n377 563\n64089 96162\n84531 100000\n12937 19490\n71105 100000\n13127 19767\n78862 100000\n95729 100000\n27605 41487\n85042 100000\n38252 57511\n62289 93493\n1846 2799\n30618 46020\n57870 86853\n42504 63841\n29158 43819\n60527 90851\n36743 55248\n77598 100000\n73835 100000\n23739 35715\n3037 4582\n50214 75396\n5077 7621\n99950 100000\n41459 62273\n49713 74648\n94592 100000\n87243 100000\n68463 100000\n85746 100000\n18341 27599\n79125 100000\n55106 82706\n91619 100000\n74024 100000\n22121 33277\n69667 100000\n47370 71111\n20178 30354\n44249 66435\n31313 47081\n9798 14756\n12875 19397\n803 1218\n75245 100000\n98259 100000\n47656 71544\n29046 43652\n17934 26985\n7363 11092\n25579 38448\n73110 100000\n73297 100000\n80119 100000\n48663 73087\n5341 8029\n23113 34760\n19064 28688\n24300 36545\n70562 100000\n92982 100000\n54690 82082\n80918 100000\n5752 8629\n22564 33936\n5491 8247\n11142 16779\n13508 20331\n25591 38466\n75163 100000\n77905 100000\n17122 25744\n60653 91045\n715 1087\n84735 100000\n50809 76266\n43191 64852\n94765 100000\n52585 78942\n94235 100000\n38904 58491\n69393 100000\n16270 24464\n83538 100000\n32858 49430\n26816 40296\n10426 15714\n59030 88614\n90747 100000\n94867 100000\n66952 100000\n70258 100000\n65859 98788\n76794 100000\n40065 60187\n77164 100000\n5022 7539\n66006 99015\n17107 25721\n58496 87802\n3123 4713\n30179 45349\n12451 18764\n46276 69487\n41861 62882\n58319 87541\n43530 65372\n68461 100000\n38826 58376\n92510 100000\n58715 88135\n54245 81422\n46209 69378\n23857 35898\n75599 100000\n57333 86046\n54654 82027\n19111 28751\n77922 100000\n46347 69591\n51929 77951\n45343 68078\n5241 7873\n71083 100000\n66955 100000\n50311 75535\n92081 100000\n9166 13802\n42153 63304\n56605 84938\n86011 100000\n88700 100000\n5392 8100\n31924 48006\n32271 48546\n67055 100000\n59477 89294\n50164 75313\n60290 90498\n55001 82550\n51908 77921\n10974 16524\n22496 33837\n57955 86982\n54695 82090\n54264 81454\n97719 100000\n4072 6116\n48015 72098\n60935 91475\n44119 66256\n92119 100000\n95226 100000\n93866 100000\n31471 47326\n5049 7580\n45864 68857\n62992 94551\n98126 100000\n13906 20939\n42381 63653\n29616 44509\n51060 76643\n51993 78053\n19900 29930\n85615 100000\n64188 96309\n70631 100000\n79527 100000\n73269 100000\n51359 77097\n34341 51637\n72021 100000\n84828 100000\n19732 29675\n17887 26915\n40567 60937\n16003 24055\n13074 19692\n84946 100000\n32889 49478\n71721 100000\n26561 39906\n83317 100000\n1362 2053\n11955 18031\n30329 45572\n32660 49135\n34990 52607\n64564 96867\n4483 6727\n43350 65107\n47799 71760\n78040 100000\n16171 24315\n87082 100000\n27846 41851\n44742 67159\n85138 100000\n20768 31251\n89558 100000\n12946 19503\n41882 62913\n72256 100000\n73555 100000\n16283 24485\n84334 100000\n84157 100000\n75743 100000\n94979 100000\n87003 100000\n64307 96483\n1209 1825\n76732 100000\n30633 46042\n8203 12361\n50856 76338\n37952 57059\n76413 100000\n44674 67059\n14320 21568\n59984 90043\n42010 63100\n69287 100000\n49727 74669\n66442 99678\n34200 51431\n82011 100000\n21923 32979\n18899 28438\n16692 25100\n42521 63867\n9563 14404\n74346 100000\n74451 100000\n86958 100000\n28284 42493\n15495 23296\n20595 30992\n88058 100000\n54876 82360\n60111 90232\n18013 27105\n12187 18366\n65170 97764\n19029 28635\n32651 49123\n27262 40969\n21444 32259\n44079 66193\n90598 100000\n41510 62356\n5814 8726\n7416 11170\n5094 7644\n63241 94920\n1609 2429\n82556 100000\n19663 29567\n87397 100000\n16507 24816\n56731 85132\n37381 56212\n24287 36527\n62137 93264\n97495 100000\n39818 59824\n3578 5367\n15929 23937\n25882 38905\n26246 39442\n64912 97386\n54841 82310\n20300 30544\n49597 74482\n94571 100000\n54068 81146\n29423 44222\n58652 88039\n27071 40680\n96669 100000\n2596 3917\n38973 58597\n43457 65266\n15528 23340\n4499 6750\n14159 21311\n34829 52372\n9617 14487\n88194 100000\n4443 6666\n375 560\n57367 86095\n35230 52959\n91605 100000\n70501 100000\n83780 100000\n8990 13545\n17986 27065\n56858 85333\n9576 14423\n19190 28871\n56590 84918\n49024 73617\n39911 59959\n25575 38441\n89170 100000\n81170 100000\n35333 53117\n10517 15846\n84552 100000\n56965 85491\n94778 100000\n31994 48114\n87891 100000\n17968 27035\n93635 100000\n18765 28237\n96734 100000\n98673 100000\n13863 20877\n31675 47638\n28749 43200\n20975 31564\n72770 100000\n18280 27510\n24279 36516\n69426 100000\n34255 51513\n28467 42772\n32328 48629\n24527 36885\n88969 100000\n60844 91339\n51628 77492\n18670 28090\n33777 50794\n81070 100000\n57038 85603\n61874 92873\n50271 75479\n25761 38725\n85900 100000\n67459 100000\n91613 100000\n17078 25683\n56238 84410\n77375 100000\n7755 11694\n81548 100000\n95370 100000\n82940 100000\n1681 2544\n25169 37846\n67299 100000\n8461 12754\n48713 73168\n5639 8463\n89800 100000\n82598 100000\n29876 44894\n78620 100000\n4649 6978\n6885 10357\n37186 55917\n92351 100000\n51443 77222\n75290 100000\n9599 14457\n65449 98173\n88076 100000\n44396 66650\n36693 55177\n97107 100000\n12785 19255\n39014 58661\n86846 100000\n58226 87388\n49721 74660\n4179 6272\n28589 42963\n38912 58501\n9046 13624\n57124 85736\n43334 65081\n3486 5234\n54031 81093\n41737 62691\n27469 41287\n15876 23863\n8566 12912\n22030 33136\n62352 93582\n40600 60989\n63754 95670\n85539 100000\n38336 57643\n82297 100000\n9928 14945\n22745 34208\n77316 100000\n1289 1944\n11719 17673\n44592 66937\n25110 37759\n71328 100000\n29047 43654\n31850 47898\n5066 7605\n20789 31284\n12656 19061\n68522 100000\n9664 14559\n29314 44055\n87499 100000\n83798 100000\n50457 75751\n73640 100000\n7461 11241\n56833 85293\n4046 6080\n45787 68739\n63685 95573\n58555 87893\n4951 7429\n98569 100000\n72727 100000\n42938 64487\n33987 51111\n91339 100000\n33163 49888\n5621 8439\n62250 93435\n17879 26904\n48794 73280\n49166 73834\n60046 90135\n52056 78146\n90515 100000\n53382 80119\n13219 19905\n25618 38509\n56530 84831\n6153 9238\n7444 11215\n27623 41514\n96434 100000\n49320 74064\n1051 1591\n6365 9565\n37222 55973\n81975 100000\n10014 15076\n29888 44912\n48066 72181\n13232 19922\n60193 90348\n51048 76624\n95565 100000\n9280 13982\n11305 17024\n40626 61030\n26081 39194\n83682 100000\n53844 80816\n60398 90657\n29330 44079\n33395 50221\n1682 2545\n32103 48274\n45289 67996\n63098 94711\n78737 100000\n60210 90372\n78077 100000\n54723 82131\n46203 69370\n62388 93640\n20126 30279\n56802 85244\n48212 72405\n30652 46068\n95931 100000\n34774 52285\n13632 20520\n95465 100000\n77158 100000\n36307 54600\n71489 100000\n61872 92870\n36940 55548\n87093 100000\n83003 100000\n35531 53410\n5360 8055\n38278 57550\n60394 90653\n53955 80980\n71730 100000\n84672 100000\n35495 53353\n24361 36636\n25948 39002\n45074 67668\n13557 20407\n62668 94065\n58259 87444\n99097 100000\n35210 52928\n50117 75244\n14199 21376\n31106 46766\n20196 30381\n13961 21025\n8757 13188\n70434 100000\n50764 76204\n16995 25553\n88526 100000\n25861 38874\n5753 8631\n44421 66685\n2715 4102\n8583 12938\n27128 40768\n21496 32328\n54449 81723\n98081 100000\n28989 43566\n36437 54798\n47445 71225\n29806 44789\n66714 100000\n17008 25572\n78781 100000\n38144 57344\n20709 31163\n21222 31926\n12817 19305\n6041 9069\n74637 100000\n61797 92758\n89906 100000\n56631 84977\n18938 28496\n37476 56354\n37486 56369\n16211 24377\n19294 29021\n49835 74828\n93394 100000\n72585 100000\n73713 100000\n87472 100000\n63338 95058\n79555 100000\n36774 55294\n78658 100000\n37835 56888\n69462 100000\n31118 46786\n6853 10311\n16633 25009\n15153 22801\n6181 9276\n96700 100000\n54731 82143\n12519 18858\n9084 13679\n37195 55931\n78849 100000\n65812 98717\n49135 73788\n62372 93615\n40643 61054\n85351 100000\n95149 100000\n84048 100000\n34229 51475\n51446 77226\n48748 73219\n82740 100000\n93649 100000\n17465 26265\n58330 87559\n92762 100000\n80674 100000\n86912 100000\n1855 2814\n85520 100000\n51464 77251\n35231 52961\n3503 5256\n51343 77076\n28715 43149\n95360 100000\n6007 9015\n34644 52081\n85233 100000\n47663 71554\n38493 57880\n28143 42282\n39786 59776\n33894 50969\n25175 37856\n68166 100000\n92164 100000\n68516 100000\n53895 80896\n65408 98109\n10618 15992\n47349 71080\n33542 50442\n80610 100000\n43055 64654\n88765 100000\n17603 26481\n9310 14029\n56812 85261\n32250 48513\n34910 52491\n43804 65785\n32206 48441\n79954 100000\n30719 46177\n88842 100000\n28567 42928\n76496 100000\n23891 35953\n71370 100000\n66606 99921\n20444 30762\n6287 9438\n28659 43068\n27714 41653\n39043 58700\n30199 45381\n24936 37495\n58979 88536\n5627 8446\n81970 100000\n13209 19891\n76694 100000\n47374 71118\n21570 32437\n67543 100000\n90943 100000\n31881 47943\n79090 100000\n96147 100000\n42808 64296\n17596 26469\n29023 43615\n84792 100000\n42659 64078\n50374 75626\n46496 69816\n56724 85119\n71195 100000\n11439 17230\n66098 99155\n37313 56111\n87572 100000\n9003 13564\n63168 94814\n42013 63103\n28288 42499\n90942 100000\n93301 100000\n14833 22337\n25909 38944\n23435 35242\n35246 52980\n5318 7997\n20034 30137\n14330 21583\n82022 100000\n12808 19291\n29294 44025\n35577 53480\n95716 100000\n4839 7265\n40214 60414\n26945 40484\n73824 100000\n49732 74677\n27882 41901\n89905 100000\n64974 97471\n53115 79718\n2446 3698\n53212 79864\n58425 87695\n30084 45201\n17208 25876\n47297 71000\n43768 65733\n70061 100000\n29283 44007\n73684 100000\n11591 17469\n95614 100000\n24019 36131\n23530 35386\n63681 95566\n37321 56124\n88709 100000\n12634 19028\n91812 100000\n61658 92553\n74670 100000\n78058 100000\n73397 100000\n780 1183\n4629 6947\n54737 82151\n38846 58406\n72044 100000\n69373 100000\n51120 76734\n5837 8760\n30063 45169\n67810 100000\n77408 100000\n68141 100000\n73339 100000\n65446 98169\n84058 100000\n64132 96227\n39240 58978\n51934 77958\n3667 5500\n15181 22840\n62501 93803\n35661 53602\n64101 96177\n76590 100000\n27135 40778\n37129 55835\n29227 43928\n87234 100000\n86628 100000\n36075 54234\n2470 3734\n40317 60561\n58125 87243\n7403 11149\n56406 84653\n48386 72671\n4401 6605\n28272 42477\n27083 40699\n55121 82731\n54612 81966\n37858 56925\n30410 45696\n53018 79578\n22540 33898\n61409 92172\n66263 99412\n40067 60190\n41938 62996\n40992 61570\n2506 3787\n47537 71361\n23381 35165\n96230 100000\n50225 75410\n96465 100000\n80847 100000\n25766 38732\n20197 30383\n35604 53520\n76743 100000\n85649 100000\n92805 100000\n40245 60458\n59241 88933\n87950 100000\n13722 20653\n47591 71438\n74335 100000\n69452 100000\n21313 32066\n37108 55802\n33078 49760\n29197 43879\n93253 100000\n62221 93391\n21182 31867\n19210 28897\n96279 100000\n22679 34110\n16923 25447\n41631 62537\n11346 17086\n62847 94338\n89405 100000\n38751 58263\n14919 22459\n7923 11936\n30284 45504\n73658 100000\n29100 43731\n10487 15800\n41541 62399\n36541 54951\n86722 100000\n39883 59917\n85198 100000\n96959 100000\n45600 68461\n42354 63615\n33609 50540\n41028 61625\n68684 100000\n64029 96071\n11951 18024\n30034 45126\n93683 100000\n47688 71593\n92937 100000\n30953 46532\n18758 28227\n9865 14848\n78390 100000\n75071 100000\n15408 23168\n70926 100000\n45860 68852\n66572 99874\n95453 100000\n19770 29730\n74198 100000\n9777 14724\n97360 100000\n10984 16538\n27978 42045\n10152 15289\n60850 91349\n34739 52228\n64195 96317\n73261 100000\n17548 26395\n64359 96557\n74221 100000\n46012 69085\n57906 86911\n89135 100000\n34555 51942\n59626 89506\n24950 37513\n28626 43022\n37285 56070\n52309 78527\n87742 100000\n44680 67069\n67823 100000\n59653 89548\n35332 53115\n33568 50481\n81996 100000\n90332 100000\n11700 17642\n74857 100000\n99887 100000\n69266 100000\n58905 88426\n95987 100000\n14810 22304\n45682 68581\n68833 100000\n41085 61710\n20175 30349\n31550 47447\n55599 83451\n95216 100000\n51941 77968\n71876 100000\n97174 100000\n95035 100000\n59029 88612\n68466 100000\n91214 100000\n52292 78503\n60011 90083\n95694 100000\n37127 55832\n33826 50869\n92812 100000\n68388 100000\n70750 100000\n20077 30204\n70287 100000\n3537 5309\n47466 71259\n59853 89847\n37418 56264\n11021 16596\n38876 58449\n871 1321\n62505 93810\n55000 82548\n87979 100000\n96639 100000\n57728 86646\n60832 91319\n13260 19964\n47216 70878\n43520 65356\n96457 100000\n40782 61261\n24186 36376\n56136 84256\n78856 100000\n50092 75211\n58780 88238\n75777 100000\n37499 56388\n14295 21525\n61381 92131\n97510 100000\n35600 53515\n73349 100000\n96053 100000\n49626 74524\n84340 100000\n82408 100000\n29781 44756\n82886 100000\n94130 100000\n47430 71200\n96209 100000\n64147 96247\n40665 61088\n88088 100000\n95618 100000\n9805 14765\n54200 81348\n13001 19586\n14725 22169\n6064 9101\n54238 81410\n53079 79665\n75515 100000\n54102 81202\n23334 35089\n40337 60593\n34542 51925\n22055 33175\n90836 100000\n8854 13332\n2871 4336\n86227 100000\n69700 100000\n72748 100000\n2875 4342\n96949 100000\n15389 23136\n10269 15470\n82326 100000\n20720 31177\n85549 100000\n96657 100000\n25862 38875\n88057 100000\n54942 82459\n87440 100000\n68720 100000\n39327 59113\n20292 30529\n38151 57354\n95501 100000\n21589 32469\n99654 100000\n84433 100000\n69198 100000\n76050 100000\n29209 43899\n35680 53634\n93762 100000\n78428 100000\n32711 49207\n3886 5831\n89632 100000\n29420 44216\n44833 67297\n2961 4468\n56511 84802\n69812 100000\n47873 71871\n55090 82680\n21065 31692\n84953 100000\n57414 86165\n97038 100000\n30114 45246\n99873 100000\n81928 100000\n95234 100000\n97087 100000\n33757 50765\n78692 100000\n39879 59910\n79167 100000\n95682 100000\n64910 97384\n62592 93953\n11876 17909\n53248 79915\n32582 49016\n33174 49902\n42003 63090\n85985 100000\n45253 67942\n35227 52955\n49434 74233\n10756 16199\n52689 79099\n81094 100000\n85913 100000\n84056 100000\n59354 89110\n6488 9754\n42728 64180\n64779 97191\n69347 100000\n57910 86916\n13152 19808\n94301 100000\n32063 48216\n47920 71950\n48988 73563\n59727 89664\n81205 100000\n78193 100000\n84431 100000\n94026 100000\n56753 85167\n62569 93915\n53821 80778\n99460 100000\n84410 100000\n66933 100000\n55865 83849\n57823 86784\n18839 28350\n36114 54295\n99607 100000\n85848 100000\n66138 99221\n36828 55372\n79726 100000\n18747 28210\n19375 29143\n9255 13944\n73311 100000\n19213 28900\n32963 49591\n39958 60030\n75168 100000\n58117 87230\n70241 100000\n58860 88358\n27557 41412\n29890 44916\n7801 11757\n80324 100000\n24746 37218\n41716 62660\n44118 66254\n68998 100000\n77622 100000\n61506 92325\n23629 35540\n84113 100000\n91285 100000\n38833 58386\n45640 68519\n35162 52855\n93098 100000\n63926 95923\n11401 17167\n18898 28436\n48223 72423\n45395 68159\n58411 87674\n47787 71742\n26527 39856\n16274 24470\n88008 100000\n89273 100000\n88309 100000\n31868 47925\n18217 27414\n84999 100000\n4589 6886\n28195 42358\n44541 66858\n83272 100000\n20699 31147\n10064 15156\n72669 100000\n12087 18230\n42798 64283\n87940 100000\n1452 2188\n1633 2471\n57588 86432\n40690 61125\n74466 100000\n17448 26238\n50255 75455\n65574 98358\n32529 48933\n4143 6216\n79616 100000\n44957 67492\n87845 100000\n88868 100000\n88880 100000\n8816 13280\n85276 100000\n30897 46439\n97950 100000\n53080 79667\n18114 27262\n92381 100000\n28461 42762\n72190 100000\n79574 100000\n19885 29907\n64830 97265\n54531 81846\n89542 100000\n12267 18483\n52096 78207\n55174 82815\n794 1205\n9718 14635\n40847 61354\n84706 100000\n87825 100000\n49745 74696\n79382 100000\n77754 100000\n88414 100000\n40338 60594\n70851 100000\n81503 100000\n58743 88180\n30030 45121\n42400 63681\n80445 100000\n92231 100000\n84796 100000\n40699 61138\n46161 69307\n91361 100000\n27944 41995\n93142 100000\n86166 100000\n58804 88277\n68545 100000\n14062 21167\n32563 48982\n13952 21013\n62184 93332\n99586 100000\n8528 12854\n26828 40318\n84119 100000\n5821 8736\n74941 100000\n92097 100000\n71953 100000\n20221 30417\n68945 100000\n12715 19146\n24981 37563\n81555 100000\n56097 84201\n4749 7124\n57970 87006\n65207 97817\n68123 100000\n88666 100000\n71034 100000\n66823 100000\n41684 62613\n92315 100000\n61456 92248\n43201 64866\n14683 22107\n93898 100000\n88686 100000\n59413 89200\n79215 100000\n66039 99064\n16956 25498\n61329 92058\n54770 82205\n43895 65919\n33079 49762\n96466 100000\n99251 100000\n91378 100000\n88929 100000\n73559 100000\n31722 47705\n13862 20876\n35734 53717\n75641 100000\n39137 58829\n84372 100000\n37985 57108\n21747 32713\n2996 4520\n5582 8376\n35327 53109\n35698 53662\n52626 78999\n47907 71927\n54625 81985\n36192 54417\n78262 100000\n74591 100000\n5462 8202\n42811 64300\n68079 100000\n74156 100000\n54796 82246\n10597 15957\n65689 98531\n58472 87768\n77796 100000\n18380 27658\n34435 51772\n99692 100000\n41704 62642\n38157 57365\n22653 34074\n61954 92992\n81517 100000\n15527 23339\n56282 84476\n69664 100000\n53686 80567\n16358 24594\n15114 22751\n79842 100000\n77713 100000\n67748 100000\n50474 75777\n25140 37801\n52488 78798\n88471 100000\n60052 90145\n52959 79494\n56042 84120\n3252 4902\n21746 32711\n65211 97825\n58178 87321\n73071 100000\n97396 100000\n7417 11171\n37700 56687\n81675 100000\n62998 94562\n87806 100000\n86067 100000\n32646 49115\n30430 45726\n37448 56313\n73019 100000\n1352 2037\n68970 100000\n2649 4003\n58453 87740\n86617 100000\n29965 45026\n21257 31981\n99479 100000\n45215 67877\n56195 84344\n25623 38516\n62513 93823\n89761 100000\n48485 72828\n77322 100000\n63771 95697\n50052 75154\n5458 8197\n3985 5986\n45465 68264\n59567 89422\n83323 100000\n29302 44038\n23061 34676\n38667 58134\n13528 20362\n11116 16737\n20023 30124\n21754 32724\n71060 100000\n18312 27553\n15350 23085\n78565 100000\n88644 100000\n16257 24447\n35922 53998\n44279 66481\n94038 100000\n24336 36595\n10329 15566\n21465 32288\n50718 76135\n23938 36023\n21552 32405\n14076 21185\n80149 100000\n16930 25459\n25170 37847\n77381 100000\n80269 100000\n19099 28737\n61836 92814\n56313 84523\n80784 100000\n51567 77402\n66737 100000\n46522 69853\n7836 11806\n49295 74028\n49110 73749\n28363 42616\n88150 100000\n16876 25369\n61791 92748\n28290 42503\n33575 50490\n15220 22898\n50502 75816\n57329 86040\n99529 100000\n87506 100000\n51091 76692\n36231 54483\n98202 100000\n26494 39812\n8095 12196\n40092 60233\n92791 100000\n24311 36560\n92717 100000\n93664 100000\n20357 30633\n78269 100000\n37445 56309\n70277 100000\n25257 37975\n92610 100000\n50040 75138\n10040 15118\n70536 100000\n76034 100000\n27519 41359\n82753 100000\n18373 27647\n30597 45987\n98708 100000\n26853 40354\n56192 84340\n72788 100000\n95975 100000\n75546 100000\n23409 35204\n59633 89517\n74287 100000\n97821 100000\n81764 100000\n93434 100000\n84933 100000\n53567 80392\n20036 30141\n86413 100000\n83781 100000\n60755 91196\n34955 52555\n89128 100000\n38026 57169\n474 716\n90141 100000\n7485 11282\n16710 25125\n96094 100000\n39417 59243\n45026 67600\n30492 45820\n62740 94174\n91328 100000\n86461 100000\n64759 97157\n93194 100000\n41456 62268\n37080 55762\n61849 92834\n74258 100000\n71738 100000\n72150 100000\n51173 76815\n26237 39429\n88616 100000\n58124 87241\n60691 91103\n44537 66851\n42457 63768\n94282 100000\n11394 17155\n9588 14440\n50806 76262\n51687 77585\n40148 60317\n14085 21197\n73209 100000\n61 91\n29065 43680\n79264 100000\n18859 28380\n62226 93400\n82605 100000\n18902 28443\n54454 81730\n5696 8545\n63415 95173\n60797 91263\n16478 24770\n51353 77089\n62265 93458\n89317 100000\n31501 47370\n97777 100000\n52425 78709\n36210 54447\n3351 5044\n5594 8399\n40311 60552\n99064 100000\n10752 16194\n97608 100000\n55718 83633\n23565 35442\n21814 32815\n45515 68333\n61853 92839\n23474 35301\n91226 100000\n42848 64355\n24515 36868\n98289 100000\n21506 32341\n9628 14502\n65522 98286\n94525 100000\n68134 100000\n51159 76794\n20046 30157\n14983 22555\n84561 100000\n7766 11713\n27425 41221\n12243 18444\n71360 100000\n31091 46741\n90015 100000\n6800 10231\n53378 80113\n63251 94937\n17080 25685\n36532 54940\n35048 52689\n5203 7817\n97455 100000\n94671 100000\n18771 28245\n76602 100000\n61953 92991\n19028 28633\n49259 73978\n33907 50987\n98581 100000\n86298 100000\n29340 44094\n42912 64448\n18271 27497\n18907 28449\n3422 5146\n39253 59000\n88346 100000\n35144 52829\n53979 81019\n34741 52232\n5622 8440\n95767 100000\n28890 43411\n35192 52904\n41789 62770\n78108 100000\n30887 46425\n88966 100000\n75860 100000\n30155 45309\n89483 100000\n35501 53362\n35043 52680\n18509 27850\n72434 100000\n57848 86820\n27161 40815\n64463 96714\n41500 62342\n211 314\n30361 45620\n21720 32673\n63058 94653\n21343 32106\n29804 44786\n19295 29022\n70884 100000\n9349 14089\n88936 100000\n34173 51392\n57160 85791\n57169 85803\n54485 81777\n91758 100000\n93566 100000\n51849 77826\n5533 8306\n96207 100000\n35859 53902\n83961 100000\n70316 100000\n24001 36102\n67120 100000\n85638 100000\n44822 67282\n72171 100000\n53678 80555\n17035 25616\n60034 90117\n91280 100000\n53246 79911\n55022 82578\n48697 73144\n63292 94991\n62932 94461\n41988 63070\n65491 98239\n2433 3677\n14581 21957\n23007 34597\n77543 100000\n59154 88798\n17150 25786\n38318 57613\n42836 64337\n62378 93624\n8717 13128\n49308 74047\n63885 95861\n35973 54071\n46399 69668\n87121 100000\n33861 50918\n78260 100000\n14122 21251\n7849 11823\n68839 100000\n37877 56954\n46046 69133\n52457 78754\n69076 100000\n13676 20585\n41261 61973\n89113 100000\n33903 50982\n78464 100000\n34988 52604\n99925 100000\n74077 100000\n98303 100000\n57011 85561\n6523 9808\n46511 69837\n89510 100000\n61032 91621\n99828 100000\n49957 75015\n39066 58732\n41430 62230\n32004 48128\n8774 13215\n13412 20193\n24235 36453\n70930 100000\n19975 30048\n27512 41348\n26079 39190\n89239 100000\n83761 100000\n79947 100000\n21179 31861\n33237 49992\n70629 100000\n30495 45826\n91412 100000\n96557 100000\n86245 100000\n27494 41319\n78393 100000\n36958 55576\n1071 1618\n16803 25263\n45312 68031\n87334 100000\n6812 10251\n5571 8359\n5570 8358\n4784 7178\n74716 100000\n78971 100000\n65376 98061\n7154 10781\n3639 5456\n29535 44385\n56198 84349\n93881 100000\n92183 100000\n77314 100000\n45521 68344\n97210 100000\n98082 100000\n51252 76933\n44688 67081\n19821 29809\n93339 100000\n74231 100000\n30649 46064\n85873 100000\n79379 100000\n34960 52562\n27946 41998\n62089 93190\n410 617\n93830 100000\n42254 63460\n7085 10676\n42685 64118\n94725 100000\n77355 100000\n48052 72159\n19897 29925\n16717 25136\n99616 100000\n74651 100000\n36887 55470\n40653 61070\n49012 73598\n30302 45530\n12428 18731\n32883 49470\n26211 39391\n69078 100000\n73659 100000\n57387 86125\n90293 100000\n22837 34345\n77635 100000\n6004 9011\n23147 34809\n99340 100000\n35383 53188\n67764 100000\n78492 100000\n24435 36742\n22885 34420\n5117 7678\n21401 32191\n22613 34013\n3253 4904\n47228 70898\n70473 100000\n21220 31923\n62491 93788\n74133 100000\n4182 6275\n6713 10097\n48965 73529\n71081 100000\n90123 100000\n76562 100000\n63792 95726\n19113 28753\n41221 61910\n38944 58553\n75452 100000\n2496 3771\n20229 30430\n7608 11470\n52179 78329\n93151 100000\n18164 27335\n21593 32476\n11471 17285\n17247 25932\n58692 88103\n48568 72952\n52798 79251\n25619 38511\n25157 37827\n83826 100000\n85668 100000\n81790 100000\n2123 3199\n79746 100000\n6063 9099\n74283 100000\n50019 75110\n68588 100000\n29874 44892\n1441 2171\n31820 47851\n86623 100000\n62202 93359\n26574 39923\n61667 92566\n3855 5789\n43966 66025\n4014 6030\n34179 51402\n9836 14803\n40629 61033\n96107 100000\n30784 46269\n40805 61295\n89852 100000\n90985 100000\n73804 100000\n41180 61848\n91088 100000\n37123 55827\n10634 16013\n46529 69861\n35861 53904\n1415 2131\n8670 13065\n93546 100000\n14074 21182\n54714 82117\n81554 100000\n77687 100000\n32099 48267\n55006 82557\n36871 55443\n2755 4161\n30236 45431\n73983 100000\n9250 13936\n33506 50385\n37518 56419\n39860 59884\n56213 84374\n4302 6455\n36574 54997\n14613 22006\n97383 100000\n52010 78077\n83182 100000\n35428 53256\n28043 42135\n20093 30230\n14143 21285\n80156 100000\n8639 13018\n49619 74513\n12423 18723\n34690 52155\n71527 100000\n8841 13316\n3998 6004\n6018 9032\n50523 75847\n9531 14359\n23289 35017\n628 955\n44600 66950\n38272 57540\n62533 93856\n24530 36889\n37065 55737\n55439 83208\n88646 100000\n6198 9302\n90066 100000\n61071 91682\n40078 60211\n13587 20454\n11158 16803\n54318 81542\n39885 59920\n24812 37312\n19518 29354\n22922 34468\n86535 100000\n87466 100000\n41396 62174\n12192 18373\n75462 100000\n67214 100000\n34989 52606\n30603 45996\n41436 62237\n55671 83559\n23830 35856\n27525 41367\n97707 100000\n41390 62165\n89775 100000\n99363 100000\n30298 45524\n95335 100000\n82080 100000\n56967 85494\n36499 54890\n33284 50061\n14629 22027\n33401 50230\n8526 12851\n97914 100000\n69590 100000\n57810 86764\n81944 100000\n61284 91994\n30536 45895\n55202 82854\n53947 80970\n73614 100000\n99985 100000\n77136 100000\n49158 73820\n23419 35219\n59965 90015\n73899 100000\n65525 98289\n84478 100000\n27049 40647\n70200 100000\n24315 36566\n97732 100000\n38987 58619\n30415 45703\n29030 43625\n90292 100000\n3086 4656\n1994 3010\n55739 83662\n70927 100000\n66864 100000\n56242 84415\n77431 100000\n87104 100000\n78184 100000\n72029 100000\n98798 100000\n44720 67125\n56560 84876\n53471 80250\n79717 100000\n67637 100000\n27502 41331\n11908 17955\n17941 26996\n53330 80041\n67381 100000\n27148 40798\n16704 25119\n21528 32372\n86175 100000\n67682 100000\n41160 61817\n46537 69874\n38384 57709\n43627 65522\n27724 41666\n80007 100000\n87307 100000\n95546 100000\n30182 45353\n63178 94828\n16091 24191\n36063 54218\n63418 95179\n48580 72968\n2934 4429\n12184 18363\n60386 90643\n35444 53281\n91863 100000\n2601 3926\n27993 42065\n99745 100000\n70369 100000\n52684 79091\n90791 100000\n76117 100000\n68501 100000\n86152 100000\n45236 67912\n45333 68063\n43236 64927\n61575 92424\n78778 100000\n2895 4374\n61479 92284\n76642 100000\n97342 100000\n6557 9855\n59187 88848\n55484 83276\n97448 100000\n32104 48275\n70605 100000\n13414 20196\n46314 69539\n48136 72289\n5161 7751\n51378 77127\n39532 59411\n50837 76309\n19796 29772\n18849 28367\n64581 96893\n93219 100000\n35307 53078\n13299 20027\n42606 64001\n12255 18463\n33675 50640\n49763 74726\n56153 84279\n96540 100000\n59340 89090\n27594 41469\n6661 10015\n51605 77459\n42724 64176\n54378 81620\n64171 96282\n55930 83948\n35281 53037\n14945 22496\n21702 32647\n31488 47351\n32464 48832\n64527 96810\n72962 100000\n34354 51655\n26364 39622\n12847 19351\n48257 72474\n93284 100000\n66014 99024\n84386 100000\n30759 46234\n56557 84870\n95906 100000\n62081 93180\n80436 100000\n53367 80093\n89427 100000\n3976 5972\n40023 60128\n40817 61314\n73226 100000\n72488 100000\n34491 51853\n53076 79662\n15445 23222\n3050 4601\n67205 100000\n95064 100000\n82983 100000\n79128 100000\n9112 13720\n966 1463\n61838 92817\n11610 17499\n74274 100000\n29125 43768\n54926 82435\n73163 100000\n92461 100000\n85086 100000\n55804 83764\n34701 52174\n2763 4173\n52830 79299\n7634 11507\n16219 24389\n63773 95700\n36183 54402\n80316 100000\n70999 100000\n81550 100000\n75047 100000\n39923 59976\n93855 100000\n27531 41377\n92682 100000\n35730 53710\n80189 100000\n44282 66486\n57485 86271\n12206 18392\n93089 100000\n71408 100000\n93507 100000\n10410 15688\n30433 45731\n51003 76559\n92849 100000\n94064 100000\n2430 3673\n2278 3442\n33614 50547\n30083 45200\n77297 100000\n24880 37412\n75336 100000\n82660 100000\n67987 100000\n23838 35869\n4024 6044\n39350 59147\n18989 28574\n46911 70438\n74342 100000\n66290 99447\n74631 100000\n42946 64500\n91638 100000\n36704 55194\n68680 100000\n57749 86674\n14844 22351\n99045 100000\n84732 100000\n92697 100000\n63872 95844\n75545 100000\n88763 100000\n64582 96895\n70452 100000\n66034 99057\n91885 100000\n91978 100000\n89426 100000\n93950 100000\n69285 100000\n62846 94336\n10548 15884\n13801 20775\n97578 100000\n98170 100000\n26197 39371\n82403 100000\n75459 100000\n6677 10040\n99147 100000\n51731 77647\n20740 31210\n50701 76110\n51706 77612\n42132 63272\n84761 100000\n34601 52013\n41995 63080\n64905 97378\n24674 37110\n58170 87311\n7203 10854\n13789 20756\n69814 100000\n14193 21366\n90400 100000\n72696 100000\n51673 77562\n75783 100000\n2133 3213\n41560 62427\n70738 100000\n88279 100000\n79506 100000\n95271 100000\n68911 100000\n37420 56267\n73595 100000\n30553 45920\n4844 7272\n17408 26186\n25974 39038\n66015 99025\n83491 100000\n32849 49419\n11399 17164\n45316 68037\n79461 100000\n10718 16140\n75295 100000\n29533 44382\n49397 74177\n31259 47003\n49876 74895\n79995 100000\n33419 50261\n56100 84205\n31487 47350\n4521 6781\n87260 100000\n90302 100000\n96153 100000\n35740 53727\n41726 62674\n23735 35710\n3157 4764\n12010 18109\n80967 100000\n47693 71600\n10576 15926\n3456 5191\n17712 26644\n94197 100000\n48824 73324\n81009 100000\n78855 100000\n30856 46377\n15457 23240\n61049 91648\n2974 4485\n47946 71991\n50073 75184\n78458 100000\n59863 89862\n14812 22306\n2921 4408\n4313 6469\n76084 100000\n88998 100000\n54829 82292\n22594 33982\n50189 75354\n29816 44803\n85047 100000\n82559 100000\n83222 100000\n61594 92450\n94957 100000\n94119 100000\n32033 48167\n72735 100000\n75969 100000\n99074 100000\n73457 100000\n59489 89309\n21047 31665\n38687 58164\n67751 100000\n81172 100000\n15317 23036\n84223 100000\n25227 37927\n77240 100000\n55922 83936\n12620 19005\n5313 7990\n7260 10938\n90737 100000\n32542 48948\n46716 70133\n28163 42314\n51662 77546\n35961 54053\n21045 31662\n96081 100000\n55367 83100\n79010 100000\n28430 42719\n58737 88170\n7329 11040\n75550 100000\n78655 100000\n8244 12428\n71024 100000\n79581 100000\n15193 22856\n61629 92502\n18856 28377\n58483 87782\n3959 5945\n33965 51076\n83920 100000\n56092 84192\n27223 40909\n19300 29030\n31255 46998\n27120 40756\n84150 100000\n44739 67154\n22839 34347\n87969 100000\n77259 100000\n68121 100000\n89707 100000\n64300 96473\n728 1110\n85468 100000\n10660 16052\n5754 8633\n314 468\n42830 64328\n31176 46875\n12304 18540\n82133 100000\n71269 100000\n23849 35885\n92418 100000\n15852 23825\n88723 100000\n70998 100000\n74527 100000\n10180 15331\n26942 40481\n2562 3867\n18124 27278\n93015 100000\n41515 62361\n87479 100000\n43442 65244\n54420 81681\n44794 67237\n26748 40192\n16390 24644\n83864 100000\n31699 47673\n63725 95627\n81453 100000\n22440 33750\n32624 49081\n78731 100000\n61005 91582\n72965 100000\n79488 100000\n70627 100000\n44731 67140\n25021 37623\n81156 100000\n93885 100000\n88492 100000\n3911 5869\n87328 100000\n93949 100000\n60812 91290\n92092 100000\n47107 70713\n30005 45082\n82156 100000\n19240 28940\n73223 100000\n50359 75608\n96151 100000\n17707 26636\n95527 100000\n85096 100000\n46680 70081\n45197 67848\n4301 6454\n35035 52668\n45596 68456\n69250 100000\n20887 31434\n30905 46453\n8675 13072\n49989 75061\n16949 25487\n2407 3639\n7852 11828\n48797 73285\n69135 100000\n70634 100000\n43244 64937\n35816 53840\n60392 90650\n72670 100000\n21461 32284\n5878 8824\n89793 100000\n53523 80326\n988 1495\n72102 100000\n44814 67271\n97603 100000\n51490 77290\n10207 15370\n53934 80951\n52313 78534\n29011 43597\n58454 87741\n38950 58563\n71891 100000\n98800 100000\n10173 15321\n23538 35397\n45265 67960\n58992 88556\n23804 35814\n12732 19175\n45902 68917\n95938 100000\n65933 98899\n4502 6755\n65968 98954\n61989 93038\n77630 100000\n15723 23624\n69680 100000\n47676 71577\n95161 100000\n37860 56928\n46819 70294\n59249 88945\n36036 54173\n86111 100000\n38226 57471\n52027 78102\n75792 100000\n90542 100000\n5000 7502\n22626 34033\n51614 77470\n19490 29314\n76023 100000\n40249 60463\n27040 40631\n47956 72010\n45242 67922\n64909 97383\n68908 100000\n96514 100000\n46150 69289\n37842 56899\n83455 100000\n76282 100000\n12841 19341\n70161 100000\n54715 82118\n87081 100000\n86981 100000\n22261 33487\n12017 18120\n43883 65903\n18740 28199\n66779 100000\n97494 100000\n97203 100000\n31794 47812\n5099 7651\n12122 18279\n50380 75636\n98395 100000\n38653 58113\n11848 17866\n28335 42572\n10249 15437\n47914 71938\n19935 29981\n40440 60745\n39559 59450\n47006 70572\n27281 40997\n81991 100000\n75354 100000\n9562 14403\n60658 91054\n30094 45217\n68832 100000\n91716 100000\n71754 100000\n46798 70261\n65148 97730\n25320 38067\n27273 40986\n56963 85489\n13191 19866\n64292 96461\n18333 27585\n8117 12230\n47779 71729\n10607 15974\n97459 100000\n52464 78761\n55743 83669\n76756 100000\n73066 100000\n74560 100000\n19441 29239\n96755 100000\n66651 99990\n96708 100000\n47922 71954\n19745 29694\n83414 100000\n98510 100000\n89548 100000\n13699 20617\n22543 33902\n1423 2143\n95024 100000\n29871 44888\n29232 43936\n9624 14495\n4632 6951\n7745 11680\n96748 100000\n96090 100000\n74269 100000\n7490 11289\n41557 62422\n9309 14027\n3317 4993\n61976 93020\n7482 11276\n74671 100000\n67212 100000\n53037 79605\n45954 68995\n43061 64663\n15847 23816\n70596 100000\n33319 50110\n21316 32071\n86104 100000\n86074 100000\n92731 100000\n41046 61651\n95651 100000\n23935 36019\n76827 100000\n71600 100000\n76387 100000\n77709 100000\n99374 100000\n2832 4275\n45868 68865\n24736 37203\n84662 100000\n25008 37603\n10215 15383\n81088 100000\n13858 20871\n18141 27303\n82446 100000\n74865 100000\n32536 48941\n13898 20928\n53938 80956\n28393 42663\n5397 8109\n74572 100000\n37740 56751\n26251 39449\n87041 100000\n95306 100000\n10298 15517\n49090 73720\n31671 47631\n76236 100000\n17318 26045\n89183 100000\n8157 12291\n48353 72622\n75824 100000\n81821 100000\n61509 92329\n76320 100000\n86861 100000\n55014 82567\n67956 100000\n59813 89790\n82398 100000\n48690 73132\n3447 5179\n36701 55188\n64584 96898\n13501 20323\n75024 100000\n53075 79661\n21348 32113\n36621 55068\n5973 8967\n5401 8116\n51185 76834\n58198 87347\n2900 4381\n31708 47687\n55420 83177\n2080 3134\n92130 100000\n8711 13121\n56652 85006\n65467 98203\n97408 100000\n58116 87229\n57044 85612\n3016 4551\n18766 28238\n77942 100000\n462 697\n24148 36323\n74795 100000\n20735 31202\n40133 60293\n89936 100000\n46543 69885\n7776 11726\n26968 40519\n4740 7112\n4073 6118\n27613 41498\n66939 100000\n4069 6113\n10219 15389\n97828 100000\n80264 100000\n44185 66352\n74483 100000\n36515 54915\n11888 17926\n12 19\n36705 55195\n44618 66975\n87620 100000\n59744 89692\n91868 100000\n61184 91845\n46908 70434\n25249 37962\n59277 88991\n41705 62644\n5723 8587\n52435 78723\n25855 38864\n85743 100000\n26654 40042\n97351 100000\n80372 100000\n53167 79796\n43500 65327\n88759 100000\n93065 100000\n4669 7008\n32999 49645\n30755 46229\n54466 81747\n42318 63558\n63723 95624\n28120 42250\n44903 67403\n93241 100000\n92890 100000\n49768 74735\n34184 51409\n16241 24423\n82350 100000\n32800 49346\n72795 100000\n13112 19748\n86418 100000\n42692 64127\n56066 84156\n85063 100000\n53514 80312\n59076 88684\n34935 52525\n76055 100000\n64148 96248\n30277 45496\n45008 67574\n33972 51087\n29973 45037\n61015 91597\n34404 51727\n2031 3063\n29948 45003\n27737 41687\n31375 47177\n86870 100000\n64869 97326\n57423 86178\n90641 100000\n18193 27377\n70741 100000\n5520 8288\n41193 61868\n29426 44226\n88858 100000\n56489 84769\n16081 24176\n42287 63511\n79442 100000\n64712 97090\n445 670\n18043 27154\n45749 68682\n41721 62667\n32283 48565\n97935 100000\n13113 19749\n51148 76776\n98539 100000\n69478 100000\n43249 64946\n48194 72379\n45147 67774\n62730 94158\n35588 53497\n73545 100000\n35780 53785\n27889 41909\n43778 65746\n9871 14856\n55792 83745\n35753 53746\n55345 83067\n54329 81557\n30978 46571\n14531 21884\n3978 5975\n7691 11595\n47921 71952\n35750 53743\n75349 100000\n44851 67321\n90171 100000\n25156 37826\n67582 100000\n23452 35265\n95155 100000\n60271 90471\n98019 100000\n54762 82192\n98300 100000\n33294 50073\n44265 66458\n26918 40448\n83561 100000\n28802 43282\n34077 51249\n96618 100000\n48245 72456\n16778 25226\n91866 100000\n93653 100000\n74189 100000\n53119 79725\n770 1169\n58837 88328\n1494 2254\n97084 100000\n32523 48924\n58030 87097\n7733 11659\n27129 40770\n39418 59244\n52687 79096\n62780 94236\n4259 6389\n84814 100000\n18522 27870\n95905 100000\n89457 100000\n49942 74994\n61566 92413\n40156 60330\n28863 43378\n89346 100000\n49402 74186\n5061 7596\n27775 41746\n9028 13598\n89718 100000\n75882 100000\n90722 100000\n98157 100000\n13272 19985\n92877 100000\n32501 48887\n47100 70704\n15297 23006\n28737 43182\n1298 1958\n12030 18140\n62403 93665\n5738 8609\n5911 8876\n96315 100000\n61668 92568\n40577 60954\n88236 100000\n37235 55994\n37974 57091\n60072 90172\n57482 86265\n8544 12879\n85831 100000\n68174 100000\n6645 9992\n45235 67910\n30530 45884\n42442 63744\n70842 100000\n72307 100000\n16967 25514\n36493 54881\n26048 39144\n11389 17146\n61271 91977\n39647 59582\n44793 67236\n26528 39857\n72192 100000\n86225 100000\n22326 33586\n32368 48688\n80883 100000\n27830 41827\n34624 52046\n97158 100000\n2675 4040\n46644 70027\n76842 100000\n19407 29191\n22388 33672\n10678 16078\n1094 1656\n10742 16179\n19653 29550\n38662 58127\n66632 99963\n14845 22352\n96215 100000\n9301 14014\n15378 23121\n16758 25195\n50682 76081\n26394 39665\n32571 48998\n48922 73466\n98696 100000\n98917 100000\n36714 55208\n55305 83011\n6972 10494\n25902 38936\n91271 100000\n28522 42858\n6334 9511\n52862 79344\n95318 100000\n24721 37179\n59835 89819\n64942 97425\n10151 15288\n358 538\n22001 33093\n65464 98198\n36590 55023\n58796 88264\n89075 100000\n13502 20324\n10184 15336\n59711 89641\n744 1131\n17462 26262\n61488 92299\n49605 74496\n30387 45661\n90355 100000\n7732 11658\n18404 27693\n65102 97656\n97651 100000\n38766 58286\n99476 100000\n54287 81492\n78569 100000\n87756 100000\n61773 92720\n87050 100000\n25901 38934\n46370 69627\n70946 100000\n5340 8027\n91883 100000\n31756 47756\n87670 100000\n99540 100000\n28850 43357\n55522 83334\n42281 63502\n50478 75784\n60994 91568\n62082 93181\n69847 100000\n14622 22018\n92102 100000\n88253 100000\n51620 77479\n63478 95262\n52711 79130\n55762 83698\n69098 100000\n19175 28847\n46301 69523\n14046 21146\n98711 100000\n19425 29218\n80325 100000\n76734 100000\n49117 73761\n78189 100000\n96918 100000\n89450 100000\n2709 4092\n98073 100000\n64718 97100\n56096 84199\n92185 100000\n99740 100000\n33736 50733\n79764 100000\n1979 2989\n87541 100000\n73427 100000\n82240 100000\n68990 100000\n48134 72285\n14795 22280\n12359 18624\n10631 16009\n54085 81172\n15397 23149\n84063 100000\n98210 100000\n43085 64698\n82483 100000\n42742 64201\n5227 7852\n55640 83511\n3662 5493\n20022 30122\n75887 100000\n78121 100000\n59190 88852\n2367 3577\n62106 93218\n71661 100000\n77218 100000\n35237 52969\n84783 100000\n18110 27257\n72688 100000\n95689 100000\n48952 73511\n12639 19033\n18621 28012\n4295 6446\n9995 15047\n28033 42122\n36639 55097\n30968 46556\n93309 100000\n79859 100000\n44205 66377\n69679 100000\n51117 76730\n27401 41182\n31979 48090\n53775 80706\n18808 28302\n24483 36818\n11068 16664\n90097 100000\n14528 21879\n63198 94858\n71861 100000\n76650 100000\n63234 94909\n86361 100000\n27003 40574\n14138 21276\n84129 100000\n73167 100000\n53850 80824\n24955 37521\n8632 13009\n9651 14541\n76567 100000\n9923 14938\n93571 100000\n87363 100000\n64042 96092\n59702 89625\n68452 100000\n11842 17858\n71468 100000\n99440 100000\n20455 30780\n6158 9243\n9093 13691\n70142 100000\n22193 33385\n30702 46148\n40715 61160\n39539 59421\n64 96\n71929 100000\n8560 12903\n50548 75883\n13391 20163\n65147 97728\n61988 93037\n4479 6720\n40496 60827\n84047 100000\n80051 100000\n53043 79615\n89380 100000\n89828 100000\n16672 25070\n34540 51922\n66243 99380\n49478 74299\n48371 72646\n13735 20672\n34703 52177\n91802 100000\n74464 100000\n91364 100000\n4948 7426\n63391 95137\n84749 100000\n2983 4499\n51385 77139\n75111 100000\n31921 48003\n92687 100000\n90310 100000\n38804 58341\n87746 100000\n28631 43030\n24157 36338\n30732 46196\n28542 42891\n85188 100000\n32527 48930\n46790 70250\n61460 92255\n94230 100000\n64326 96508\n18845 28361\n11850 17869\n66155 99248\n11644 17556\n83656 100000\n73886 100000\n93211 100000\n64387 96598\n17329 26065\n99694 100000\n68598 100000\n75201 100000\n75467 100000\n85389 100000\n23342 35103\n55901 83905\n45033 67609\n86744 100000\n79663 100000\n23329 35080\n11243 16933\n5997 9001\n23290 35018\n77794 100000\n16871 25361\n57461 86237\n76918 100000\n21159 31829\n40379 60654\n87324 100000\n25329 38079\n97753 100000\n21248 31968\n23744 35723\n61823 92795\n52327 78557\n41620 62520\n27458 41271\n67898 100000\n81773 100000\n71843 100000\n96155 100000\n79544 100000\n49966 75029\n32241 48499\n53746 80660\n26775 40235\n96831 100000\n72710 100000\n92243 100000\n40400 60686\n68237 100000\n17270 25969\n33010 49661\n2324 3510\n47215 70877\n3773 5662\n56357 84581\n85285 100000\n59776 89736\n14519 21867\n1796 2726\n40673 61101\n66543 99827\n2292 3462\n19676 29587\n86306 100000\n12338 18593\n80767 100000\n33420 50263\n49429 74225\n74349 100000\n90338 100000\n62023 93097\n68275 100000\n72116 100000\n12233 18430\n30601 45993\n4223 6335\n17836 26834\n2134 3215\n56722 85115\n81143 100000\n91160 100000\n33504 50381\n54465 81745\n14688 22113\n52936 79459\n28285 42494\n821 1246\n8554 12895\n16177 24324\n31412 47234\n54640 82008\n52466 78764\n48484 72826\n43156 64803\n1880 2847\n91344 100000\n32709 49204\n15146 22794\n65171 97765\n2710 4093\n45831 68809\n45739 68668\n94523 100000\n53515 80314\n32239 48495\n34045 51199\n88699 100000\n78634 100000\n90887 100000\n74307 100000\n69750 100000\n98838 100000\n20570 30952\n86150 100000\n58608 87975\n33844 50896\n33072 49752\n53595 80434\n93630 100000\n7921 11934\n61364 92109\n30740 46208\n23339 35098\n87036 100000\n91592 100000\n57064 85643\n11922 17976\n27010 40584\n97771 100000\n89951 100000\n59166 88816\n46549 69894\n10006 15064\n47156 70789\n88350 100000\n26293 39512\n65165 97755\n27541 41392\n68607 100000\n58731 88160\n55541 83365\n55603 83456\n48076 72197\n56946 85462\n75280 100000\n73808 100000\n32107 48281\n94458 100000\n56524 84821\n13672 20579\n77384 100000\n51872 77863\n41741 62697\n77778 100000\n50005 75087\n59511 89340\n51401 77165\n32010 48135\n71832 100000\n78842 100000\n12317 18562\n71470 100000\n35242 52976\n13630 20517\n34721 52204\n67180 100000\n5549 8330\n43343 65095\n72135 100000\n31642 47586\n32733 49239\n57929 86944\n32198 48428\n48178 72353\n11064 16658\n12009 18108\n38450 57814\n1204 1819\n3346 5037\n57689 86586\n80174 100000\n87947 100000\n98936 100000\n72944 100000\n15849 23820\n16785 25236\n14801 22289\n57214 85874\n83687 100000\n3799 5702\n27211 40892\n89025 100000\n40336 60591\n32185 48408\n85504 100000\n32519 48917\n89385 100000\n39843 59862\n41881 62911\n17821 26813\n41431 62231\n15483 23280\n21101 31743\n85002 100000\n57054 85627\n40769 61239\n71886 100000\n45769 68711\n21224 31929\n52853 79332\n9410 14178\n36762 55278\n93545 100000\n55813 83777\n36436 54796\n85778 100000\n87173 100000\n14244 21444\n34472 51827\n33669 50629\n83043 100000\n37324 56130\n7928 11945\n26959 40507\n45920 68942\n14588 21969\n44312 66532\n24906 37453\n41435 62236\n37130 55836\n54920 82425\n47207 70863\n64575 96885\n33900 50978\n54525 81838\n59257 88958\n36317 54617\n66364 99562\n23913 35986\n52521 78848\n399 597\n79201 100000\n56954 85476\n38770 58292\n22616 34018\n17299 26015\n51768 77703\n32723 49224\n46253 69448\n62108 93220\n19246 28949\n30861 46387\n48949 73507\n77467 100000\n79318 100000\n43462 65272\n32214 48455\n9723 14643\n5473 8217\n98431 100000\n54645 82014\n34226 51471\n90307 100000\n44686 67077\n53219 79874\n4267 6401\n1524 2304\n18971 28545\n87357 100000\n70544 100000\n73198 100000\n12198 18381\n96841 100000\n31681 47645\n10065 15157\n68865 100000\n54951 82472\n63030 94606\n43867 65881\n55095 82688\n13629 20516\n29442 44247\n27948 42002\n8374 12626\n88259 100000\n4587 6884\n66188 99291\n19710 29643\n36445 54810\n6339 9519\n6450 9702\n26192 39363\n69889 100000\n12546 18899\n52524 78854\n67022 100000\n49668 74584\n71259 100000\n61075 91687\n66433 99665\n40269 60492\n73255 100000\n19371 29137\n68448 100000\n65103 97658\n71982 100000\n79983 100000\n64439 96676\n74981 100000\n99128 100000\n93317 100000\n58811 88287\n7612 11474\n51414 77181\n86550 100000\n58011 87071\n15614 23471\n64833 97270\n28418 42699\n51229 76896\n67737 100000\n88988 100000\n66640 99975\n23274 34996\n89056 100000\n18584 27958\n50795 76248\n6629 9962\n66696 100000\n69292 100000\n94211 100000\n49919 74959\n7736 11664\n4691 7038\n58542 87870\n45500 68315\n46814 70286\n18668 28086\n40390 60671\n1638 2479\n93222 100000\n64164 96270\n70603 100000\n33376 50191\n73941 100000\n28615 43006\n95197 100000\n14328 21580\n57211 85870\n60840 91331\n19303 29035\n82980 100000\n6370 9574\n74574 100000\n34007 51144\n13297 20025\n65220 97836\n42704 64146\n15304 23014\n96793 100000\n8929 13450\n75724 100000\n17992 27073\n64053 96109\n74909 100000\n62842 94329\n73872 100000\n69230 100000\n86029 100000\n35306 53077\n21352 32117\n84774 100000\n31276 47027\n13400 20176\n61266 91968\n36772 55291\n12371 18644\n36351 54668\n1154 1745\n29584 44464\n38679 58151\n22656 34078\n47041 70625\n70987 100000\n96266 100000\n359 539\n84336 100000\n63071 94672\n43831 65826\n30264 45477\n99368 100000\n68399 100000\n42366 63632\n80764 100000\n51155 76787\n77567 100000\n16202 24363\n40670 61098\n26198 39373\n89326 100000\n25412 38207\n31432 47266\n19658 29557\n94717 100000\n15857 23832\n22455 33775\n47735 71665\n85144 100000\n46935 70471\n86551 100000\n92283 100000\n90742 100000\n68371 100000\n9606 14470\n38216 57453\n79933 100000\n85691 100000\n40793 61276\n47452 71238\n96182 100000\n38694 58174\n17665 26573\n49804 74785\n3158 4765\n89780 100000\n53562 80385\n28791 43264\n99990 100000\n81052 100000\n24841 37357\n7512 11322\n80221 100000\n39216 58940\n90227 100000\n37856 56923\n19688 29605\n35938 54021\n11713 17663\n76931 100000\n51526 77341\n12894 19424\n99702 100000\n21993 33083\n83416 100000\n60625 91001\n65955 98934\n29367 44134\n47476 71272\n80096 100000\n60873 91383\n88237 100000\n49525 74372\n73807 100000\n37171 55895\n36721 55218\n29712 44655\n85177 100000\n19040 28653\n98678 100000\n53633 80489\n16472 24762\n46027 69109\n65833 98748\n31913 47990\n28229 42409\n65114 97676\n162 242\n9727 14649\n98223 100000\n80206 100000\n63500 95294\n59419 89211\n25357 38122\n57921 86932\n78236 100000\n99732 100000\n6685 10053\n59830 89812\n23325 35076\n13273 19987\n57372 86103\n43628 65523\n58435 87711\n50518 75841\n35738 53724\n79333 100000\n50820 76283\n40242 60453\n4255 6383\n78475 100000\n83800 100000\n84239 100000\n57384 86120\n77749 100000\n98850 100000\n96518 100000\n92928 100000\n16938 25473\n69556 100000\n20689 31132\n47597 71449\n47059 70650\n6385 9596\n92342 100000\n33531 50424\n8890 13387\n97758 100000\n15993 24039\n32146 48344\n62529 93850\n85995 100000\n26673 40072\n21231 31939\n43787 65759\n59509 89337\n89186 100000\n58957 88503\n71865 100000\n35340 53126\n7396 11139\n50800 76254\n13891 20917\n80806 100000\n50184 75345\n22706 34150\n76132 100000\n36138 54330\n42950 64507\n73416 100000\n41001 61583\n8855 13334\n21362 32133\n13490 20308\n12084 18224\n3906 5861\n29421 44218\n26865 40372\n45635 68512\n28748 43198\n18773 28249\n57254 85930\n39 56\n71502 100000\n40666 61090\n84987 100000\n13212 19895\n20076 30202\n72983 100000\n68788 100000\n80300 100000\n65066 97604\n66465 99714\n3772 5660\n19006 28601\n6613 9936\n56488 84768\n20631 31042\n38136 57331\n31227 46954\n92104 100000\n1790 2717\n14570 21937\n27778 41752\n34032 51182\n3133 4727\n27657 41567\n6519 9801\n34424 51755\n30454 45764\n92828 100000\n35932 54012\n49880 74901\n93428 100000\n46062 69155\n53684 80564\n9109 13716\n50763 76202\n13488 20304\n32591 49030\n94951 100000\n14921 22462\n97048 100000\n56063 84152\n96267 100000\n29578 44453\n42267 63480\n39285 59047\n86411 100000\n56805 85248\n52108 78226\n4777 7168\n4942 7418\n12956 19517\n51704 77610\n45126 67745\n18206 27398\n37676 56652\n79409 100000\n74966 100000\n33937 51034\n34526 51902\n16128 24251\n91880 100000\n14672 22092\n46698 70106\n29212 43905\n3084 4653\n47903 71921\n13757 20708\n91059 100000\n34192 51421\n53845 80817\n62024 93098\n45712 68626\n23472 35298\n36413 54763\n74248 100000\n62324 93544\n31610 47539\n5685 8530\n78131 100000\n74517 100000\n48067 72183\n41939 62998\n25381 38158\n26157 39311\n25435 38244\n75993 100000\n23219 34916\n94737 100000\n50497 75809\n4922 7387\n64882 97343\n59688 89602\n79493 100000\n75062 100000\n16268 24461\n7600 11460\n44774 67210\n86533 100000\n46729 70152\n37422 56271\n16288 24492\n88567 100000\n86629 100000\n20977 31567\n21269 31999\n94598 100000\n82291 100000\n5300 7970\n64485 96748\n6499 9772\n30187 45362\n96223 100000\n14800 22287\n43419 65208\n53793 80736\n68575 100000\n36572 54994\n25829 38822\n22586 33970\n91603 100000\n52938 79463\n4138 6209\n5072 7614\n98940 100000\n59594 89458\n92597 100000\n97885 100000\n69857 100000\n31241 46978\n35930 54008\n65913 98867\n16315 24529\n73010 100000\n2911 4395\n99857 100000\n33161 49885\n37166 55887\n10438 15734\n82057 100000\n95907 100000\n5493 8250\n5764 8644\n83940 100000\n73322 100000\n44864 67340\n59219 88898\n41548 62411\n6726 10118\n65780 98666\n25193 37883\n28577 42943\n97175 100000\n39297 59064\n41719 62664\n39366 59171\n68328 100000\n76582 100000\n2577 3891\n57845 86816\n24672 37108\n71834 100000\n57574 86407\n84838 100000\n33571 50485\n69606 100000\n27150 40801\n86791 100000\n19866 29880\n95478 100000\n65161 97748\n66088 99142\n40062 60183\n97500 100000\n57393 86136\n14540 21898\n12419 18716\n39446 59286\n62841 94328\n231 342\n79394 100000\n71719 100000\n84004 100000\n41015 61602\n45313 68032\n84287 100000\n97595 100000\n44007 66085\n44248 66434\n71482 100000\n68031 100000\n8643 13025\n38651 58111\n55529 83345\n66931 100000\n68690 100000\n56218 84382\n46135 69263\n23198 34883\n71806 100000\n23632 35545\n43131 64764\n6784 10205\n15444 23221\n42829 64326\n98004 100000\n30781 46266\n50177 75334\n42336 63587\n97966 100000\n38739 58243\n71962 100000\n60306 90520\n54149 81276\n67767 100000\n45392 68155\n17903 26938\n71418 100000\n19945 29997\n59236 88925\n596 906\n1028 1558\n39952 60020\n9136 13757\n8613 12980\n65667 98501\n98722 100000\n86713 100000\n47116 70728\n62844 94333\n95433 100000\n75126 100000\n63539 95355\n38717 58209\n82168 100000\n21845 32861\n75691 100000\n75035 100000\n50636 76012\n81594 100000\n94518 100000\n74515 100000\n78979 100000\n20724 31183\n20937 31506\n13741 20682\n25881 38904\n86924 100000\n93068 100000\n18978 28557\n5357 8051\n87118 100000\n72781 100000\n97381 100000\n61485 92294\n95569 100000\n54779 82221\n45052 67637\n41825 62823\n87942 100000\n96242 100000\n76623 100000\n23345 35108\n3573 5359\n9697 14606\n5467 8209\n21139 31799\n71481 100000\n42299 63528\n6756 10163\n11645 17557\n92065 100000\n48858 73375\n33820 50858\n88025 100000\n57049 85618\n50305 75525\n9961 14995\n16341 24570\n67225 100000\n7541 11368\n975 1477\n3419 5142\n60794 91258\n74116 100000\n48220 72419\n66596 99906\n22375 33651\n62590 93950\n66288 99444\n55974 84017\n40231 60438\n87077 100000\n11866 17893\n19923 29961\n71708 100000\n66085 99138\n71036 100000\n93199 100000\n55256 82934\n65232 97854\n78382 100000\n57898 86898\n49080 73705\n60884 91397\n90983 100000\n27957 42017\n11372 17124\n30969 46557\n30073 45185\n60800 91269\n35609 53528\n23073 34696\n25728 38676\n22016 33113\n594 904\n74646 100000\n51840 77810\n17254 25942\n26052 39149\n77196 100000\n50867 76351\n35618 53539\n94972 100000\n98868 100000\n38371 57691\n72035 100000\n50301 75519\n94606 100000\n73294 100000\n20658 31083\n42796 64280\n92134 100000\n26418 39701\n43977 66043\n73900 100000\n9850 14824\n95589 100000\n6509 9784\n92839 100000\n13827 20821\n69585 100000\n77564 100000\n42022 63114\n22025 33128\n36921 55520\n66995 100000\n16042 24119\n92149 100000\n44252 66439\n39854 59875\n4140 6212\n35057 52703\n19750 29702\n67303 100000\n17587 26454\n60574 90919\n30954 46533\n59498 89322\n57219 85882\n30080 45195\n60699 91113\n69754 100000\n23618 35523\n85135 100000\n9055 13638\n62991 94549\n95174 100000\n71702 100000\n7968 12002\n5222 7845\n6156 9241\n43837 65835\n95681 100000\n87903 100000\n776 1177\n6535 9825\n97892 100000\n52892 79389\n97484 100000\n73814 100000\n89207 100000\n28809 43294\n22487 33822\n59663 89563\n34559 51949\n35847 53885\n95431 100000\n83785 100000\n27676 41593\n14363 21633\n44381 66628\n65779 98664\n10155 15292\n30850 46369\n85293 100000\n93380 100000\n80500 100000\n47972 72034\n63105 94724\n50759 76195\n2195 3313\n99118 100000\n49807 74789\n85557 100000\n70074 100000\n25791 38767\n6827 10273\n33077 49759\n48367 72640\n56835 85297\n74695 100000\n12783 19253\n61040 91633\n11911 17960\n34647 52086\n9910 14917\n4679 7020\n40077 60209\n8886 13379\n65107 97664\n32205 48440\n17710 26640\n53557 80377\n49924 74966\n72723 100000\n76860 100000\n16631 25006\n60240 90419\n2909 4392\n10545 15881\n92881 100000\n19465 29276\n33511 50393\n14483 21813\n73878 100000\n4787 7182\n95641 100000\n8310 12526\n68143 100000\n84834 100000\n68637 100000\n54354 81587\n38742 58247\n99580 100000\n51420 77189\n65553 98328\n23108 34751\n98888 100000\n41372 62141\n94549 100000\n31582 47497\n90388 100000\n75019 100000\n99634 100000\n49725 74666\n99174 100000\n75160 100000\n57851 86825\n92285 100000\n45936 68967\n11597 17479\n17392 26162\n71709 100000\n33740 50738\n10653 16042\n65661 98491\n65323 97990\n34251 51507\n91420 100000\n49541 74395\n76171 100000\n20911 31470\n31296 47058\n58818 88298\n82531 100000\n22512 33860\n39224 58951\n8399 12663\n16522 24838\n59372 89139\n41617 62514\n19867 29881\n82379 100000\n15124 22764\n13992 21070\n41225 61917\n36580 55007\n90617 100000\n92076 100000\n98889 100000\n94194 100000\n16361 24597\n14637 22039\n28182 42343\n50503 75817\n30101 45228\n50325 75558\n86474 100000\n65811 98715\n82680 100000\n40803 61291\n35795 53806\n5624 8442\n49779 74750\n16732 25157\n346 519\n32210 48447\n21102 31744\n75050 100000\n65838 98755\n18718 28164\n89575 100000\n5832 8753\n63364 95096\n42373 63641\n16010 24067\n85112 100000\n10563 15907\n44797 67242\n61120 91751\n70210 100000\n42014 63104\n25234 37938\n62056 93143\n73521 100000\n98302 100000\n43177 64834\n27068 40677\n45505 68321\n12355 18619\n55050 82618\n43558 65414\n73181 100000\n3587 5382\n33167 49894\n28282 42491\n82276 100000\n77248 100000\n26525 39853\n31377 47181\n38417 57763\n69936 100000\n51337 77066\n79736 100000\n49406 74192\n80340 100000\n19829 29821\n89433 100000\n75748 100000\n29058 43668\n98174 100000\n85481 100000\n78312 100000\n50861 76344\n87710 100000\n3591 5388\n96448 100000\n21155 31824\n11129 16758\n29854 44862\n33141 49855\n97089 100000\n24920 37470\n4618 6929\n91938 100000\n3464 5202\n28453 42751\n14639 22043\n53301 79995\n72918 100000\n53250 79918\n81538 100000\n89957 100000\n10478 15787\n16961 25505\n15245 22935\n97984 100000\n45075 67669\n60091 90202\n16635 25012\n27060 40665\n56433 84692\n68301 100000\n77193 100000\n27396 41174\n6582 9893\n44358 66596\n60082 90189\n85698 100000\n81792 100000\n52702 79116\n14178 21343\n50760 76197\n33652 50601\n81055 100000\n63605 95455\n79110 100000\n56011 84074\n51688 77586\n33656 50607\n87794 100000\n64223 96356\n75423 100000\n15798 23738\n55990 84039\n16146 24276\n43928 65968\n50135 75271\n56044 84124\n61648 92534\n78029 100000\n76275 100000\n24537 36901\n87964 100000\n65222 97838\n8809 13270\n21532 32377\n5725 8589\n82464 100000\n23406 35200\n68424 100000\n72776 100000\n83179 100000\n77500 100000\n88945 100000\n52216 78387\n34946 52539\n78611 100000\n74148 100000\n49435 74234\n36897 55484\n73280 100000\n72224 100000\n74783 100000\n82099 100000\n96533 100000\n17202 25866\n65049 97576\n62074 93168\n53141 79757\n13101 19730\n68702 100000\n13363 20127\n71478 100000\n70756 100000\n27286 41004\n25642 38548\n64569 96875\n18947 28510\n41823 62821\n57793 86740\n8848 13326\n29821 44808\n80404 100000\n19714 29649\n49303 74040\n93490 100000\n68390 100000\n71052 100000\n37341 56151\n42592 63980\n63204 94866\n59287 89005\n55501 83303\n96505 100000\n7379 11116\n59939 89979\n2587 3904\n54977 82513\n18396 27680\n25232 37934\n53897 80898\n15363 23103\n66145 99233\n55253 82929\n29623 44518\n35084 52742\n30213 45401\n47794 71753\n32317 48614\n3064 4622\n70313 100000\n12836 19334\n34691 52157\n9517 14337\n54099 81197\n69945 100000\n76095 100000\n49747 74699\n11481 17302\n30707 46158\n72388 100000\n18723 28171\n51334 77061\n94697 100000\n23799 35806\n21211 31908\n12151 18317\n60982 91552\n78316 100000\n88875 100000\n38802 58338\n54241 81415\n73774 100000\n20970 31556\n71942 100000\n71740 100000\n60678 91082\n64739 97129\n52112 78233\n8687 13089\n61605 92467\n39688 59643\n5678 8519\n72364 100000\n55874 83864\n67479 100000\n41878 62907\n85404 100000\n22601 33994\n36956 55574\n25723 38668\n37475 56352\n23568 35447\n17580 26443\n24935 37493\n29381 44152\n7515 11327\n17243 25926\n41243 61943\n49210 73902\n65749 98620\n59155 88800\n52308 78526\n24985 37567\n52525 78856\n87271 100000\n25784 38759\n16804 25264\n70579 100000\n49827 74818\n3683 5523\n13555 20405\n62525 93843\n99511 100000\n62552 93885\n59519 89350\n38837 58392\n72486 100000\n46354 69599\n92038 100000\n85619 100000\n25540 38391\n66086 99139\n65882 98823\n39317 59099\n62542 93870\n6583 9894\n79624 100000\n56114 84222\n175 260\n70960 100000\n95733 100000\n92147 100000\n85067 100000\n7179 10817\n57426 86182\n10228 15405\n56658 85013\n75338 100000\n97251 100000\n39172 58878\n39237 58974\n80266 100000\n9346 14084\n60639 91024\n45493 68306\n75100 100000\n41589 62468\n39202 58920\n30518 45865\n89392 100000\n9266 13960\n7752 11689\n9736 14661\n93625 100000\n17000 25559\n41547 62409\n90592 100000\n80050 100000\n1602 2419\n40821 61319\n78918 100000\n57982 87025\n30251 45454\n62173 93318\n7939 11962\n9407 14174\n94866 100000\n838 1273\n16189 24343\n88554 100000\n87813 100000\n64015 96050\n93929 100000\n70918 100000\n16301 24510\n80460 100000\n68270 100000\n69895 100000\n68757 100000\n81622 100000\n55263 82943\n31808 47831\n51803 77755\n25561 38420\n60338 90570\n98017 100000\n82445 100000\n51105 76712\n18399 27685\n88244 100000\n62716 94135\n5552 8334\n65990 98988\n13915 20952\n94994 100000\n29154 43812\n26500 39820\n39328 59114\n1109 1678\n43789 65761\n37986 57109\n44261 66452\n50382 75639\n9408 14176\n6597 9915\n51319 77040\n67892 100000\n63242 94922\n6326 9497\n45168 67809\n81575 100000\n17124 25748\n5260 7902\n76140 100000\n98024 100000\n92758 100000\n3415 5137\n89574 100000\n48703 73154\n92673 100000\n54540 81860\n61496 92308\n82638 100000\n87123 100000\n23277 34999\n95127 100000\n15440 23215\n91654 100000\n3108 4691\n32662 49137\n78250 100000\n23815 35832\n71697 100000\n57434 86193\n31104 46762\n10979 16530\n79150 100000\n70913 100000\n25839 38838\n3603 5405\n76701 100000\n39054 58716\n73956 100000\n32434 48785\n69986 100000\n78812 100000\n79611 100000\n65915 98869\n58309 87525\n59278 88993\n82634 100000\n66386 99594\n75324 100000\n37436 56292\n32027 48159\n61021 91605\n67151 100000\n66491 99749\n56184 84328\n43754 65711\n43383 65153\n17472 26276\n94467 100000\n60536 90863\n34079 51252\n22686 34119\n4217 6327\n83840 100000\n13615 20494\n5675 8513\n31511 47383\n412 621\n17060 25654\n75209 100000\n50895 76394\n95200 100000\n28075 42182\n81844 100000\n81209 100000\n21586 32465\n11906 17953\n79119 100000\n35514 53382\n67353 100000\n48022 72108\n27448 41256\n73090 100000\n5123 7689\n74768 100000\n74595 100000\n25705 38640\n70975 100000\n99610 100000\n33739 50737\n79482 100000\n38333 57638\n75931 100000\n65767 98646\n67235 100000\n16035 24107\n83674 100000\n74584 100000\n95270 100000\n34924 52511\n95147 100000\n81523 100000\n22380 33658\n42782 64260\n44874 67358\n63591 95438\n68292 100000\n20098 30238\n12002 18095\n98825 100000\n44207 66381\n65614 98419\n70343 100000\n74402 100000\n18402 27689\n99843 100000\n11151 16793\n99803 100000\n65705 98557\n38186 57405\n20377 30663\n33485 50356\n10450 15751\n69021 100000\n2748 4152\n92223 100000\n21239 31952\n82682 100000\n75895 100000\n13853 20862\n76959 100000\n96160 100000\n4522 6783\n95895 100000\n38738 58241\n20413 30716\n59416 89206\n84505 100000\n44263 66454\n26903 40427\n14262 21471\n33119 49820\n33307 50092\n92547 100000\n41587 62466\n66136 99218\n6338 9517\n58613 87981\n29703 44640\n85685 100000\n84579 100000\n73504 100000\n39852 59872\n58353 87592\n86359 100000\n77189 100000\n37748 56762\n42948 64503\n13709 20631\n73068 100000\n42915 64453\n265 398\n40568 60938\n50863 76346\n68795 100000\n12823 19315\n45390 68152\n50757 76192\n33971 51085\n51282 76978\n32098 48265\n39965 60039\n35838 53873\n67976 100000\n91827 100000\n8744 13168\n13389 20160\n24153 36331\n50340 75578\n51573 77410\n81766 100000\n36889 55473\n87427 100000\n31323 47099\n16585 24935\n75879 100000\n84861 100000\n69240 100000\n48650 73068\n90465 100000\n79709 100000\n77634 100000\n10663 16055\n83563 100000\n4472 6709\n33373 50188\n60983 91553\n40057 60176\n12999 19582\n28187 42349\n20419 30726\n43817 65805\n40125 60281\n46674 70073\n13311 20045\n89416 100000\n85372 100000\n99006 100000\n9866 14849\n86287 100000\n84002 100000\n94806 100000\n87444 100000\n64535 96824\n39359 59160\n48439 72753\n45650 68532\n5144 7722\n274 410\n54743 82162\n83704 100000\n49824 74812\n83994 100000\n88987 100000\n40260 60478\n26588 39945\n91533 100000\n96485 100000\n98479 100000\n18612 28000\n29915 44952\n82748 100000\n85902 100000\n82633 100000\n86094 100000\n4900 7354\n89288 100000\n60216 90382\n30792 46278\n59149 88790\n69598 100000\n50691 76094\n83275 100000\n9493 14303\n45913 68932\n56022 84093\n1293 1951\n27971 42036\n73412 100000\n7866 11851\n74520 100000\n53411 80162\n1035 1569\n86635 100000\n52701 79115\n97446 100000\n64656 97006\n93221 100000\n48356 72625\n47905 71924\n53945 80967\n11191 16851\n5698 8549\n72083 100000\n84385 100000\n41427 62226\n6777 10194\n70978 100000\n25272 37999\n91222 100000\n87442 100000\n87706 100000\n16740 25167\n14853 22366\n45462 68260\n66324 99499\n6711 10093\n20067 30188\n4359 6539\n74782 100000\n75038 100000\n53699 80588\n33432 50277\n37609 56550\n18034 27139\n22258 33484\n76214 100000\n64167 96275\n84401 100000\n460 693\n59873 89875\n94495 100000\n76450 100000\n87654 100000\n16127 24250\n66222 99349\n55302 83007\n13715 20642\n4263 6396\n58174 87316\n672 1022\n91895 100000\n38056 57207\n20199 30385\n46919 70449\n97208 100000\n31418 47242\n40736 61196\n2498 3775\n13008 19595\n83070 100000\n88135 100000\n53477 80258\n996 1508\n66980 100000\n82037 100000\n50209 75388\n76035 100000\n8835 13309\n45388 68149\n25326 38074\n184 272\n89721 100000\n23994 36091\n79556 100000\n66697 100000\n77142 100000\n53832 80795\n58049 87124\n15328 23050\n87568 100000\n28049 42143\n22770 34245\n44535 66849\n3490 5239\n73433 100000\n36438 54800\n94582 100000\n15358 23096\n32022 48151\n28374 42634\n4847 7278\n12830 19326\n96920 100000\n48752 73223\n98812 100000\n96032 100000\n4420 6634\n16077 24169\n96601 100000\n62219 93387\n59085 88697\n70896 100000\n43557 65413\n72385 100000\n31063 46698\n66205 99321\n20000 30083\n60891 91410\n84886 100000\n22806 34297\n4048 6083\n44442 66716\n83535 100000\n93155 100000\n98713 100000\n16775 25221\n36182 54400\n34668 52119\n75586 100000\n54755 82182\n5125 7691\n50843 76318\n77678 100000\n14484 21814\n56267 84452\n85136 100000\n97278 100000\n22386 33669\n19631 29517\n27800 41783\n91234 100000\n34020 51166\n38935 58538\n14378 21657\n73855 100000\n71696 100000\n74347 100000\n88989 100000\n74270 100000\n22418 33715\n80015 100000\n57952 86978\n289 432\n59937 89975\n86125 100000\n42122 63258\n13524 20356\n97386 100000\n62474 93767\n94493 100000\n1436 2164\n29472 44289\n32608 49057\n60610 90975\n66899 100000\n38882 58457\n4989 7486\n83071 100000\n25468 38292\n97040 100000\n68074 100000\n90084 100000\n14935 22480\n55155 82785\n65710 98562\n96814 100000\n98517 100000\n1585 2395\n86734 100000\n52201 78365\n50077 75190\n24855 37379\n85038 100000\n9856 14834\n3148 4749\n47948 71995\n71151 100000\n95028 100000\n95312 100000\n51329 77056\n40889 61421\n35241 52975\n49105 73742\n68163 100000\n82540 100000\n7844 11816\n78854 100000\n11857 17880\n10844 16327\n66826 100000\n17041 25626\n1425 2147\n95974 100000\n8152 12284\n3207 4840\n79270 100000\n63523 95330\n44927 67443\n54257 81443\n44206 66379\n11247 16939\n35774 53777\n72755 100000\n89205 100000\n58194 87342\n98564 100000\n28884 43404\n78636 100000\n45679 68575\n4520 6779\n36265 54536\n33263 50031\n82394 100000\n83144 100000\n48102 72237\n22723 34177\n29028 43621\n57606 86457\n25486 38316\n43306 65036\n62014 93081\n40351 60611\n38686 58162\n84411 100000\n17899 26930\n21566 32430\n33207 49951\n40353 60613\n27587 41461\n78621 100000\n8579 12931\n47789 71745\n26578 39929\n80765 100000\n27018 40599\n43559 65416\n39129 58820\n84702 100000\n84948 100000\n23049 34657\n81687 100000\n55856 83838\n79348 100000\n74496 100000\n32967 49597\n28275 42480\n79656 100000\n58626 87999\n15082 22706\n46505 69830\n3892 5839\n96421 100000\n61781 92732\n76728 100000\n23307 35045\n55154 82783\n22268 33497\n50321 75552\n12414 18707\n63756 95673\n51720 77631\n99330 100000\n1727 2616\n16518 24833\n35705 53671\n44423 66688\n63973 95990\n30456 45767\n97042 100000\n13 20\n62692 94102\n17450 26242\n82529 100000\n81788 100000\n32367 48686\n63820 95767\n78548 100000\n24142 36312\n55634 83501\n11617 17511\n58518 87835\n68507 100000\n34003 51139\n12163 18333\n83720 100000\n14044 21144\n78009 100000\n46114 69232\n96625 100000\n38511 57907\n33966 51078\n39131 58822\n91466 100000\n15184 22843\n50678 76075\n86305 100000\n71958 100000\n88464 100000\n3335 5022\n26771 40229\n41297 62025\n7863 11847\n58047 87121\n24593 36987\n72928 100000\n77019 100000\n44160 66319\n28320 42549\n54142 81266\n51550 77377\n12334 18586\n58401 87660\n10711 16130\n57381 86116\n70899 100000\n91470 100000\n96063 100000\n61277 91984\n11344 17084\n77858 100000\n855 1299\n33621 50557\n18754 28221\n73241 100000\n48123 72267\n40989 61567\n46648 70033\n82432 100000\n36672 55149\n57159 85789\n57691 86589\n27256 40959\n55828 83799\n82829 100000\n72166 100000\n72502 100000\n52804 79261\n77643 100000\n6133 9206\n58738 88172\n63526 95336\n60213 90377\n28915 43453\n44067 66177\n12874 19395\n50341 75580\n44870 67350\n38512 57908\n53291 79978\n26703 40119\n82406 100000\n55746 83674\n40194 60386\n62205 93365\n76818 100000\n24766 37244\n98231 100000\n71040 100000\n70499 100000\n70415 100000\n48953 73512\n97887 100000\n10034 15108\n53782 80717\n85609 100000\n43605 65488\n59820 89797\n99649 100000\n75169 100000\n35240 52973\n54812 82268\n20919 31483\n13700 20618\n59135 88770\n40549 60906\n95596 100000\n71652 100000\n39022 58671\n96631 100000\n34781 52294\n96049 100000\n19706 29637\n50724 76146\n92338 100000\n9874 14861\n24744 37215\n55682 83578\n6846 10300\n88631 100000\n56686 85055\n5828 8748\n70251 100000\n32045 48187\n38827 58378\n44753 67176\n96614 100000\n78959 100000\n79908 100000\n53362 80085\n95678 100000\n647 982\n91777 100000\n72073 100000\n6698 10071\n80697 100000\n18775 28253\n65108 97666\n25653 38562\n55082 82668\n49987 75058\n65428 98139\n28535 42879\n31793 47810\n27478 41301\n52012 78079\n14441 21750\n49061 73674\n27388 41162\n82416 100000\n53798 80745\n29601 44487\n2751 4156\n86399 100000\n15932 23941\n8965 13504\n4096 6150\n27491 41315\n72234 100000\n50159 75307\n13918 20958\n15758 23678\n75519 100000\n50657 76044\n65953 98931\n15096 22726\n40359 60621\n96573 100000\n91248 100000\n9183 13828\n88104 100000\n48769 73246\n30848 46366\n71533 100000\n51555 77384\n76436 100000\n45378 68134\n58932 88466\n38678 58150\n55894 83893\n30194 45374\n23158 34827\n134 201\n29718 44666\n53127 79735\n13247 19944\n1928 2912\n75769 100000\n18097 27237\n18992 28579\n66763 100000\n53913 80922\n67215 100000\n89982 100000\n58248 87427\n19791 29764\n59200 88866\n51955 77989\n5323 8004\n29908 44943\n78008 100000\n26350 39601\n277 414\n56214 84375\n88107 100000\n79548 100000\n65325 97994\n94699 100000\n64390 96602\n29593 44476\n21900 32946\n70491 100000\n22970 34544\n48404 72701\n35429 53257\n34621 52043\n27221 40906\n3408 5128\n7533 11357\n14296 21527\n12983 19557\n2803 4232\n35701 53666\n38400 57737\n80268 100000\n77934 100000\n19188 28867\n14356 21622\n29027 43620\n85205 100000\n26352 39604\n58348 87584\n29567 44437\n27750 41707\n57406 86153\n30142 45289\n75958 100000\n13027 19622\n17412 26192\n31827 47860\n97355 100000\n85312 100000\n18405 27694\n33617 50553\n60171 90319\n28427 42713\n20832 31350\n92929 100000\n56107 84213\n89687 100000\n68443 100000\n71582 100000\n89018 100000\n27665 41578\n94647 100000\n84025 100000\n73557 100000\n85644 100000\n63778 95707\n12116 18270\n19587 29457\n69785 100000\n2698 4076\n17168 25813\n42928 64473\n57222 85887\n80072 100000\n48875 73400\n65709 98561\n55476 83265\n37736 56747\n13894 20921\n72118 100000\n83923 100000\n63767 95691\n58103 87209\n69249 100000\n79226 100000\n53608 80452\n67888 100000\n92949 100000\n76538 100000\n70213 100000\n36494 54883\n1639 2480\n12439 18746\n55919 83931\n79833 100000\n27783 41759\n69963 100000\n15933 23942\n70810 100000\n28315 42540\n49103 73740\n1947 2940\n20976 31565\n85011 100000\n45531 68359\n98452 100000\n47275 70964\n62003 93060\n82876 100000\n83964 100000\n43376 65143\n78871 100000\n56378 84614\n27026 40612\n33970 51083\n38488 57872\n36168 54378\n46689 70094\n47254 70936\n72737 100000\n85068 100000\n8857 13336\n11762 17739\n17527 26364\n5517 8284\n56989 85524\n1065 1611\n2928 4420\n74037 100000\n78289 100000\n58525 87847\n81013 100000\n45443 68230\n4613 6921\n95410 100000\n46364 69617\n34886 52455\n4434 6653\n8147 12277\n6520 9803\n31372 47173\n33775 50792\n72909 100000\n2374 3590\n33849 50901\n66552 99842\n7867 11852\n83465 100000\n5438 8169\n46882 70398\n89032 100000\n37683 56662\n46592 69950\n6946 10450\n86600 100000\n84784 100000\n58554 87891\n94734 100000\n76882 100000\n61903 92917\n52889 79385\n1057 1598\n82830 100000\n84597 100000\n38836 58390\n11757 17732\n88291 100000\n4906 7363\n14510 21856\n92829 100000\n66286 99442\n77333 100000\n61832 92807\n29600 44485\n38577 58004\n27746 41701\n23139 34797\n7807 11764\n40636 61045\n60973 91538\n80700 100000\n54295 81505\n75293 100000\n42095 63219\n5424 8151\n68606 100000\n49292 74024\n99867 100000\n76204 100000\n37826 56877\n11929 17988\n53286 79970\n69071 100000\n15520 23330\n90516 100000\n58379 87629\n7022 10578\n97428 100000\n61866 92861\n97886 100000\n69045 100000\n69110 100000\n65075 97617\n80487 100000\n47051 70638\n11395 17156\n60424 90696\n1251 1882\n50153 75299\n72592 100000\n20421 30729\n15349 23084\n51747 77672\n858 1304\n59418 89209\n51678 77571\n84905 100000\n14865 22382\n84981 100000\n92814 100000\n55912 83922\n88661 100000\n41761 62724\n20272 30500\n74161 100000\n8743 13166\n35175 52876\n16476 24767\n93702 100000\n90916 100000\n14243 21442\n68459 100000\n13035 19635\n76409 100000\n61050 91649\n75696 100000\n32857 49429\n4166 6253\n66894 100000\n13736 20674\n1748 2650\n43812 65798\n99246 100000\n17888 26916\n54123 81237\n84643 100000\n49242 73952\n64462 96713\n51014 76576\n70193 100000\n6832 10280\n97035 100000\n40912 61453\n34658 52104\n23137 34794\n16605 24966\n3444 5175\n40566 60935\n72700 100000\n29091 43718\n12234 18432\n57483 86267\n6794 10222\n79248 100000\n58806 88280\n28839 43342\n89805 100000\n14904 22435\n63059 94655\n51440 77216\n60761 91208\n30508 45849\n68785 100000\n96766 100000\n10535 15869\n86123 100000\n26912 40440\n64027 96068\n90149 100000\n68067 100000\n37563 56484\n11133 16764\n43765 65728\n78034 100000\n47734 71663\n71273 100000\n54349 81580\n97843 100000\n39877 59908\n40859 61376\n11718 17671\n88032 100000\n50020 75112\n27625 41518\n88160 100000\n48622 73029\n35594 53506\n57867 86848\n44967 67509\n45856 68846\n33622 50558\n3289 4953\n14521 21869\n24057 36186\n19633 29520\n25793 38770\n20360 30638\n20145 30306\n77252 100000\n83753 100000\n82947 100000\n88359 100000\n66419 99647\n12750 19206\n85550 100000\n3493 5243\n6291 9445\n53480 80264\n27213 40895\n37459 56329\n60547 90877\n43877 65895\n51112 76723\n91796 100000\n53880 80870\n80392 100000\n51866 77852\n31558 47460\n72525 100000\n60829 91314\n88810 100000\n33323 50118\n78319 100000\n31214 46934\n80463 100000\n76563 100000\n60939 91481\n83956 100000\n95238 100000\n36249 54511\n7338 11055\n35781 53786\n42985 64559\n35846 53884\n50687 76089\n31617 47551\n53647 80510\n35422 53247\n8079 12177\n89077 100000\n14180 21346\n78885 100000\n57476 86257\n88187 100000\n51393 77150\n47426 71194\n65875 98812\n93930 100000\n88324 100000\n50294 75510\n22638 34050\n59431 89228\n82221 100000\n14549 21910\n44709 67110\n93539 100000\n15364 23105\n95821 100000\n89412 100000\n98764 100000\n67741 100000\n60004 90073\n44214 66390\n36220 54466\n27119 40754\n49367 74134\n15788 23722\n8712 13122\n28156 42303\n66611 99929\n32664 49140\n98804 100000\n5102 7654\n39121 58811\n24335 36593\n34587 51993\n5527 8299\n94693 100000\n61264 91966\n41191 61864\n91252 100000\n87573 100000\n86134 100000\n45734 68661\n33476 50340\n56337 84552\n90270 100000\n64288 96455\n90947 100000\n80565 100000\n30751 46223\n50180 75338\n88743 100000\n44140 66286\n2677 4042\n72757 100000\n93513 100000\n27217 40901\n83605 100000\n61553 92394\n98574 100000\n87636 100000\n88981 100000\n73004 100000\n52530 78863\n42393 63673\n30364 45624\n62562 93902\n34121 51314\n26602 39965\n17866 26883\n58054 87131\n54949 82470\n59250 88946\n49315 74056\n14008 21090\n55834 83808\n32830 49388\n2847 4300\n14703 22138\n65618 98424\n12675 19089\n10823 16296\n61864 92857\n16914 25432\n50709 76121\n80644 100000\n83671 100000\n93502 100000\n49282 74010\n64797 97220\n97878 100000\n9959 14992\n19657 29556\n67061 100000\n67283 100000\n90384 100000\n39108 58794\n519 787\n90741 100000\n99000 100000\n73338 100000\n24844 37361\n4165 6251\n91508 100000\n10679 16079\n72627 100000\n20853 31379\n9507 14323\n79892 100000\n91149 100000\n46887 70405\n74276 100000\n12719 19154\n86114 100000\n24407 36702\n14149 21295\n92789 100000\n49657 74569\n32835 49395\n25375 38151\n48642 73056\n2424 3662\n80520 100000\n20164 30334\n21364 32136\n38532 57942\n43937 65982\n1117 1690\n53109 79708\n19349 29101\n48208 72399\n47115 70727\n18116 27265\n63334 95053\n53974 81010\n43742 65692\n86670 100000\n55457 83239\n95315 100000\n35765 53763\n7145 10766\n61069 91678\n17084 25690\n79622 100000\n74140 100000\n23926 36004\n53812 80766\n89689 100000\n56013 84077\n58451 87736\n2097 3160\n89254 100000\n90990 100000\n37073 55750\n4627 6943\n4373 6560\n5650 8479\n90010 100000\n65714 98567\n25783 38758\n95048 100000\n5890 8842\n27730 41675\n9483 14288\n35272 53023\n7407 11155\n7816 11778\n64193 96314\n47722 71645\n26380 39646\n88685 100000\n56189 84335\n43430 65226\n17711 26642\n2180 3292\n93135 100000\n86808 100000\n51606 77460\n24208 36411\n57242 85913\n65885 98827\n79373 100000\n16520 24836\n76039 100000\n81752 100000\n60892 91411\n46074 69174\n67745 100000\n71835 100000\n80203 100000\n23352 35118\n42688 64122\n17871 26892\n28822 43316\n32068 48223\n2329 3518\n20897 31448\n33185 49918\n19229 28923\n30915 46469\n48027 72116\n88201 100000\n70643 100000\n51130 76749\n68025 100000\n95573 100000\n63664 95544\n11448 17245\n51562 77395\n33940 51038\n70546 100000\n96823 100000\n5632 8453\n63750 95663\n55107 82708\n80552 100000\n76735 100000\n32125 48308\n51741 77664\n66163 99258\n46498 69819\n21160 31830\n78857 100000\n9613 14480\n46786 70243\n89742 100000\n64617 96945\n22853 34368\n3199 4829\n69314 100000\n95789 100000\n7840 11812\n20718 31174\n95507 100000\n2664 4025\n58145 87272\n1329 2005\n84481 100000\n48647 73065\n8457 12748\n76217 100000\n47211 70870\n19230 28925\n45805 68768\n17170 25816\n69122 100000\n96043 100000\n98544 100000\n74206 100000\n16165 24307\n82842 100000\n93697 100000\n95413 100000\n68261 100000\n58956 88502\n46118 69238\n38195 57420\n54379 81622\n23459 35277\n44838 67303\n48151 72314\n21250 31971\n16583 24932\n28072 42179\n27709 41645\n28573 42937\n21365 32138\n95763 100000\n9642 14525\n49296 74029\n40664 61086\n97469 100000\n95602 100000\n80957 100000\n85611 100000\n91383 100000\n66974 100000\n26047 39142\n46215 69388\n21374 32150\n7785 11737\n24062 36192\n56302 84504\n79071 100000\n92859 100000\n62580 93932\n3740 5608\n69887 100000\n79338 100000\n13223 19910\n10055 15142\n68772 100000\n87468 100000\n2617 3954\n35888 53946\n26148 39297\n57464 86241\n37956 57065\n99068 100000\n10273 15478\n31537 47426\n65180 97779\n12724 19161\n67222 100000\n28538 42884\n73191 100000\n11688 17622\n68257 100000\n88594 100000\n3298 4967\n29002 43586\n82898 100000\n26365 39623\n52700 79114\n90009 100000\n83016 100000\n10714 16135\n7964 11997\n63203 94864\n51680 77575\n84632 100000\n51763 77696\n12985 19560\n20158 30325\n3738 5606\n39588 59491\n33206 49950\n4562 6844\n96670 100000\n85055 100000\n15747 23659\n18137 27296\n87882 100000\n32163 48374\n74947 100000\n80748 100000\n1347 2029\n31175 46874\n26834 40328\n6097 9151\n97016 100000\n5779 8669\n35203 52919\n80802 100000\n80284 100000\n16231 24406\n12051 18170\n15562 23390\n71665 100000\n32953 49576\n47764 71707\n16563 24901\n26749 40194\n33275 50048\n83320 100000\n22500 33843\n76449 100000\n78279 100000\n86102 100000\n25347 38107\n75116 100000\n22287 33530\n66916 100000\n94987 100000\n33535 50431\n2522 3809\n82237 100000\n12262 18474\n14568 21934\n74421 100000\n39450 59293\n64255 96405\n71316 100000\n10625 16002\n27633 41531\n21977 33060\n46279 69490\n51789 77735\n65652 98475\n98976 100000\n92040 100000\n25691 38618\n26544 39882\n70614 100000\n42420 63708\n24164 36347\n38731 58231\n10110 15227\n86369 100000\n36021 54149\n15343 23073\n33969 51082\n16062 24145\n59140 88777\n37279 56059\n44907 67410\n42691 64125\n55434 83200\n48276 72503\n57544 86362\n5669 8504\n79607 100000\n53654 80520\n54154 81283\n13279 19996\n57146 85770\n22277 33512\n44532 66844\n24232 36448\n25166 37841\n21255 31978\n80862 100000\n40227 60432\n90849 100000\n39234 58969\n70093 100000\n9811 14772\n51394 77152\n79000 100000\n36489 54875\n27027 40613\n93073 100000\n58000 87056\n11824 17829\n77565 100000\n58265 87454\n98120 100000\n23068 34687\n35172 52870\n9193 13845\n67307 100000\n43282 64994\n32641 49106\n78710 100000\n36669 55146\n18222 27423\n35056 52701\n94912 100000\n32064 48218\n20996 31593\n19849 29855\n3833 5752\n42822 64315\n26360 39617\n89827 100000\n15958 23977\n38014 57152\n65639 98457\n50741 76170\n33691 50662\n87494 100000\n70358 100000\n21768 32745\n81708 100000\n87262 100000\n77119 100000\n24830 37338\n87428 100000\n16572 24915\n53302 79996\n9955 14984\n98095 100000\n77443 100000\n56068 84160\n45792 68748\n54830 82294\n47058 70648\n22600 33993\n99707 100000\n39525 59401\n85339 100000\n29664 44578\n61243 91938\n32983 49619\n33321 50114\n44735 67147\n835 1268\n15935 23945\n41417 62209\n30568 45943\n35027 52657\n7511 11320\n81287 100000\n98807 100000\n63745 95656\n52650 79038\n60063 90159\n9047 13625\n18589 27966\n22006 33100\n32748 49260\n11900 17944\n23841 35873\n6910 10397\n68962 100000\n20218 30412\n41583 62460\n35653 53591\n93043 100000\n47007 70574\n9179 13822\n47713 71633\n31898 47966\n4670 7009\n12872 19391\n37541 56452\n20255 30474\n86954 100000\n45632 68509\n51545 77369\n80792 100000\n19537 29383\n69530 100000\n93471 100000\n30060 45164\n53958 80984\n13825 20818\n54739 82155\n97088 100000\n87753 100000\n8842 13318\n79629 100000\n51596 77446\n4664 7001\n56296 84496\n93157 100000\n48305 72552\n54222 81382\n20460 30788\n42731 64185\n50985 76531\n40181 60369\n3451 5183\n63614 95469\n6546 9839\n53742 80654\n38319 57615\n41306 62039\n4357 6535\n8053 12134\n9306 14022\n77289 100000\n60364 90609\n92954 100000\n18543 27896\n60002 90070\n61299 92015\n90320 100000\n82841 100000\n16772 25216\n11486 17309\n11634 17539\n43764 65726\n84556 100000\n46565 69916\n39701 59662\n32995 49638\n63448 95217\n15222 22901\n27774 41744\n5299 7969\n49306 74045\n61185 91847\n75109 100000\n80616 100000\n44787 67227\n5873 8816\n34971 52577\n80013 100000\n89571 100000\n37240 56001\n86238 100000\n98427 100000\n20083 30215\n89420 100000\n59274 88985\n49775 74745\n8570 12919\n50370 75621\n53703 80595\n13644 20539\n3105 4686\n23957 36044\n70712 100000\n76199 100000\n4867 7305\n390 583\n55173 82813\n91369 100000\n11206 16874\n27301 41029\n9143 13766\n89929 100000\n82425 100000\n59668 89571\n74624 100000\n973 1474\n20041 30148\n74406 100000\n94933 100000\n6579 9889\n79038 100000\n29411 44201\n46312 69537\n2463 3722\n1563 2362\n95568 100000\n72766 100000\n76632 100000\n32245 48504\n2564 3871\n47320 71037\n68640 100000\n81313 100000\n29444 44250\n89214 100000\n45133 67756\n6140 9217\n70818 100000\n52330 78561\n45727 68651\n86223 100000\n84238 100000\n67324 100000\n53957 80983\n17537 26380\n13779 20741\n77733 100000\n71057 100000\n24088 36229\n10306 15530\n99812 100000\n30044 45139\n1691 2558\n73836 100000\n30178 45348\n10501 15819\n30723 46184\n96455 100000\n23398 35190\n38657 58120\n41959 63026\n4592 6892\n14362 21631\n29783 44760\n5929 8903\n25990 39062\n69618 100000\n56884 85371\n15801 23744\n25016 37613\n32291 48574\n95283 100000\n91753 100000\n64208 96335\n77685 100000\n99522 100000\n9227 13895\n76286 100000\n97573 100000\n62541 93868\n79121 100000\n43173 64830\n55793 83747\n57500 86294\n61696 92606\n89410 100000\n57176 85814\n81435 100000\n76464 100000\n34740 52230\n57724 86640\n47553 71387\n66118 99188\n54265 81455\n23824 35845\n87885 100000\n54725 82133\n57710 86616\n199 294\n44342 66573\n7987 12036\n4916 7379\n36747 55255\n14873 22393\n33906 50986\n7129 10745\n11223 16900\n10441 15740\n19311 29049\n84936 100000\n11354 17096\n1300 1961\n93296 100000\n50739 76167\n26772 40230\n32510 48901\n49392 74170\n38203 57435\n19802 29783\n52030 78107\n61174 91829\n90915 100000\n86200 100000\n73951 100000\n68226 100000\n10005 15062\n5735 8606\n45767 68709\n57345 86064\n33283 50060\n25116 37767\n3454 5187\n42460 63774\n9290 13997\n33554 50461\n50976 76516\n43845 65848\n38440 57801\n20096 30235\n23146 34808\n24190 36383\n26622 39993\n52268 78468\n33162 49887\n127 191\n40172 60355\n21174 31855\n28296 42510\n83871 100000\n31288 47045\n10500 15817\n71023 100000\n36508 54906\n12895 19426\n28297 42512\n89126 100000\n23766 35756\n10128 15253\n46390 69655\n96503 100000\n67238 100000\n69052 100000\n33519 50408\n19789 29760\n64396 96611\n67552 100000\n33256 50024\n88806 100000\n51556 77386\n13248 19946\n65712 98565\n98745 100000\n23571 35453\n62334 93557\n14397 21684\n27798 41780\n30691 46133\n9051 13631\n49790 74767\n45344 68080\n18722 28170\n75595 100000\n78677 100000\n18708 28146\n72136 100000\n75321 100000\n70137 100000\n56081 84177\n47130 70749\n17480 26289\n14534 21889\n4955 7434\n79376 100000\n51405 77170\n61965 93006\n51843 77815\n20053 30168\n47348 71079\n42515 63857\n49881 74903\n94093 100000\n40593 60979\n22953 34516\n76474 100000\n15771 23699\n64987 97487\n96630 100000\n36188 54411\n25405 38194\n5646 8475\n44804 67253\n3719 5579\n33674 50638\n16034 24105\n15017 22605\n86032 100000\n59462 89272\n62810 94283\n33272 50044\n49107 73745\n4432 6650\n58717 88138\n96436 100000\n35064 52713\n32256 48523\n43112 64735\n5259 7901\n66177 99277\n71921 100000\n48014 72096\n90221 100000\n5941 8921\n15923 23930\n49805 74786\n80568 100000\n79014 100000\n6138 9214\n65670 98505\n48370 72644\n57057 85632\n27034 40622\n88089 100000\n86284 100000\n9646 14532\n74500 100000\n35785 53793\n25290 38025\n96356 100000\n75093 100000\n51489 77289\n60244 90424\n71308 100000\n38861 58429\n53754 80674\n36109 54286\n62492 93790\n17964 27029\n81778 100000\n19826 29816\n20315 30568\n30608 46004\n30153 45305\n10863 16356\n11844 17860\n72929 100000\n88664 100000\n80451 100000\n57122 85733\n83942 100000\n79238 100000\n6792 10219\n47483 71284\n30910 46462\n99197 100000\n42644 64057\n37213 55959\n34681 52141\n70921 100000\n49820 74806\n92428 100000\n6648 9996\n72628 100000\n94588 100000\n43716 65649\n66941 100000\n98636 100000\n10775 16228\n29331 44080\n63138 94771\n68343 100000\n92413 100000\n78347 100000\n38357 57672\n77427 100000\n80136 100000\n37931 57029\n12090 18234\n20279 30511\n72120 100000\n97769 100000\n47755 71694\n40138 60300\n81976 100000\n76730 100000\n699 1063\n91527 100000\n63623 95483\n43195 64859\n56303 84506\n50205 75380\n89431 100000\n61518 92342\n47290 70989\n9194 13846\n85330 100000\n90653 100000\n88443 100000\n26822 40308\n46557 69905\n18091 27225\n52812 79272\n48646 73063\n52504 78821\n33274 50047\n36687 55169\n31840 47880\n83053 100000\n28253 42448\n83870 100000\n43886 65907\n1533 2317\n56294 84493\n6120 9189\n57285 85975\n77315 100000\n20119 30269\n83739 100000\n52752 79184\n43514 65346\n99123 100000\n24216 36425\n17294 26008\n22917 34463\n89823 100000\n97293 100000\n75813 100000\n37731 56739\n82994 100000\n79286 100000\n62111 93225\n82542 100000\n86758 100000\n48446 72767\n89023 100000\n96704 100000\n65755 98630\n83979 100000\n55686 83584\n46873 70385\n47188 70836\n94239 100000\n90145 100000\n39669 59613\n61516 92340\n91694 100000\n74404 100000\n99061 100000\n22070 33197\n50170 75323\n91483 100000\n32463 48830\n43208 64876\n4351 6528\n64187 96307\n35202 52918\n68681 100000\n88404 100000\n10991 16549\n322 482\n41416 62207\n70109 100000\n39044 58701\n60448 90735\n31389 47201\n3022 4562\n64652 97000\n22986 34566\n94232 100000\n82850 100000\n68295 100000\n73926 100000\n14423 21722\n14198 21374\n2765 4176\n88591 100000\n86606 100000\n1506 2273\n31970 48076\n87765 100000\n10263 15460\n23502 35342\n86765 100000\n8599 12959\n46896 70418\n80846 100000\n5761 8640\n3163 4773\n88301 100000\n17497 26315\n43074 64682\n68338 100000\n24526 36884\n89108 100000\n6307 9467\n70341 100000\n30904 46451\n31526 47409\n1591 2405\n22328 33588\n56285 84480\n3775 5665\n26714 40136\n98496 100000\n25951 39006\n53839 80808\n74582 100000\n86787 100000\n82217 100000\n8020 12085\n31339 47125\n40121 60274\n51101 76708\n60309 90525\n48969 73536\n55372 83107\n26517 39844\n43511 65342\n76605 100000\n62261 93452\n16201 24361\n63333 95052\n16194 24351\n32115 48294\n65777 98662\n69265 100000\n47327 71049\n80146 100000\n39345 59140\n9538 14368\n83611 100000\n67968 100000\n11119 16742\n25927 38969\n53583 80414\n90622 100000\n6319 9485\n74702 100000\n59673 89580\n94710 100000\n71428 100000\n49676 74595\n50902 76405\n84503 100000\n47093 70694\n20785 31276\n3180 4796\n25339 38096\n6807 10243\n62909 94430\n63173 94821\n76232 100000\n44137 66282\n45141 67766\n38171 57384\n74872 100000\n26239 39432\n42714 64160\n57643 86513\n70254 100000\n12868 19385\n24424 36727\n24925 37477\n8617 12987\n62172 93317\n18345 27605\n14220 21410\n88365 100000\n23256 34966\n14427 21727\n30577 45956\n81267 100000\n64811 97239\n56301 84502\n16437 24712\n83428 100000\n81526 100000\n47360 71097\n95284 100000\n40580 60958\n23936 36020\n72743 100000\n42052 63158\n50386 75644\n15775 23705\n75415 100000\n57941 86961\n44122 66260\n14443 21753\n48795 73281\n13359 20120\n19875 29891\n60319 90543\n3110 4694\n93758 100000\n71960 100000\n69952 100000\n9048 13626\n3164 4774\n28634 43034\n53990 81034\n71534 100000\n25527 38370\n62981 94532\n65219 97835\n43406 65189\n37642 56599\n5271 7922\n53098 79694\n67454 100000\n812 1232\n98555 100000\n84668 100000\n91541 100000\n14707 22144\n78419 100000\n51969 78014\n51862 77844\n56799 85240\n64280 96446\n14235 21431\n2645 3997\n38414 57757\n48346 72611\n88176 100000\n61408 92170\n70758 100000\n40726 61178\n40874 61397\n69335 100000\n63806 95745\n93616 100000\n73575 100000\n85479 100000\n76083 100000\n48897 73428\n30807 46301\n33208 49952\n38867 58436\n3884 5828\n8987 13539\n49671 74590\n26193 39364\n98308 100000\n64302 96476\n47865 71858\n43390 65162\n12397 18682\n40585 60965\n49157 73818\n66475 99728\n53391 80133\n785 1190\n79566 100000\n86613 100000\n52499 78814\n73617 100000\n84567 100000\n61055 91658\n61549 92388\n45507 68323\n89102 100000\n56998 85539\n38688 58165\n97395 100000\n91980 100000\n35650 53587\n27288 41008\n64741 97132\n24965 37536\n3690 5535\n61399 92157\n66811 100000\n5789 8684\n45730 68655\n16812 25274\n13090 19715\n58197 87346\n62305 93517\n44703 67101\n17700 26625\n11311 17034\n91080 100000\n62281 93482\n12049 18166\n13786 20751\n4617 6927\n58493 87799\n20798 31297\n18948 28511\n73483 100000\n41809 62800\n25628 38524\n1726 2615\n50366 75615\n33540 50438\n65205 97814\n53326 80034\n4230 6345\n84857 100000\n62917 94442\n83666 100000\n83803 100000\n47308 71016\n30374 45640\n72644 100000\n18072 27196\n69568 100000\n18576 27945\n12211 18400\n30481 45803\n85380 100000\n91399 100000\n4890 7338\n79212 100000\n470 711\n64644 96986\n34801 52326\n32123 48305\n71976 100000\n91385 100000\n61103 91727\n48467 72799\n13114 19751\n74313 100000\n32311 48604\n58646 88028\n64902 97374\n19521 29358\n57326 86034\n72858 100000\n91136 100000\n65245 97877\n63868 95839\n66574 99878\n5242 7874\n34103 51285\n69223 100000\n3268 4925\n14371 21646\n41451 62259\n26429 39719\n24347 36613\n87610 100000\n17043 25629\n57301 85999\n38585 58015\n61351 92089\n831 1262\n98716 100000\n20524 30887\n26439 39734\n44991 67549\n59467 89278\n26409 39687\n48768 73244\n38476 57852\n56413 84662\n73990 100000\n83015 100000\n10832 16309\n5938 8915\n39677 59625\n27836 41837\n30288 45509\n89343 100000\n86643 100000\n89421 100000\n70310 100000\n65081 97625\n75805 100000\n78415 100000\n41997 63082\n31 42\n77528 100000\n37780 56807\n48893 73423\n43037 64631\n97809 100000\n6662 10017\n98235 100000\n60677 91081\n74760 100000\n60637 91020\n48840 73348\n50928 76446\n98124 100000\n90045 100000\n10989 16545\n2492 3766\n77379 100000\n83769 100000\n34128 51324\n46556 69903\n27470 41288\n19534 29379\n39308 59082\n78697 100000\n79414 100000\n68625 100000\n940 1425\n30025 45114\n52557 78901\n79236 100000\n11312 17035\n44121 66259\n21670 32596\n27459 41273\n46763 70205\n35278 53033\n66768 100000\n77313 100000\n78640 100000\n96794 100000\n30682 46119\n98134 100000\n67330 100000\n83636 100000\n92245 100000\n75468 100000\n52688 79098\n2686 4057\n69289 100000\n35937 54019\n18586 27961\n21597 32483\n63430 95197\n15913 23917\n14516 21864\n9056 13640\n65445 98168\n95766 100000\n96873 100000\n55676 83567\n46419 69697\n30865 46394\n50624 75997\n30980 46574\n94020 100000\n86322 100000\n26713 40134\n29711 44654\n18829 28334\n20189 30371\n86888 100000\n52372 78629\n31010 46617\n83104 100000\n8196 12351\n21069 31696\n27078 40691\n58153 87283\n96556 100000\n91193 100000\n97138 100000\n76553 100000\n90858 100000\n63620 95478\n51965 78006\n54432 81701\n72382 100000\n15833 23794\n93106 100000\n53875 80864\n61644 92527\n77128 100000\n61121 91753\n89507 100000\n94706 100000\n22994 34578\n72273 100000\n2410 3643\n53841 80811\n90956 100000\n33176 49904\n85623 100000\n86188 100000\n60366 90612\n17797 26775\n47027 70605\n29732 44689\n38609 58050\n4189 6286\n19754 29706\n88336 100000\n97571 100000\n3345 5036\n77287 100000\n7259 10937\n29127 43772\n41742 62698\n63115 94738\n37961 57070\n19287 29011\n24441 36750\n10685 16090\n32701 49191\n84027 100000\n44444 66718\n67306 100000\n89276 100000\n96136 100000\n31037 46661\n76291 100000\n66307 99474\n99161 100000\n97695 100000\n55754 83686\n28868 43384\n86930 100000\n77140 100000\n19709 29641\n1049 1588\n63651 95523\n13021 19615\n1101 1668\n34866 52427\n31127 46798\n76560 100000\n37918 57011\n35091 52755\n66058 99097\n49183 73859\n79625 100000\n67230 100000\n89756 100000\n36534 54942\n90624 100000\n25620 38512\n81885 100000\n53208 79858\n84682 100000\n31430 47262\n34595 52003\n15969 23995\n56554 84866\n19916 29951\n34374 51688\n72117 100000\n72686 100000\n64460 96711\n56403 84649\n94453 100000\n86271 100000\n51925 77946\n1084 1640\n40612 61010\n26720 40146\n60857 91360\n94604 100000\n99088 100000\n38926 58525\n55413 83169\n1056 1597\n79005 100000\n37078 55758\n55940 83964\n50108 75230\n51685 77582\n5904 8864\n59244 88937\n74286 100000\n2293 3463\n37034 55692\n79435 100000\n32290 48573\n42935 64483\n81759 100000\n58136 87258\n46693 70101\n92311 100000\n37601 56537\n48830 73335\n22393 33679\n47761 71703\n12265 18480\n43532 65376\n95829 100000\n7703 11613\n1750 2653\n54778 82219\n31049 46679\n99361 100000\n11034 16615\n13697 20614\n32132 48319\n71726 100000\n98091 100000\n28154 42299\n77465 100000\n79508 100000\n80858 100000\n13233 19924\n14057 21160\n47527 71347\n5780 8671\n27659 41570\n34881 52448\n16295 24501\n66534 99815\n47030 70609\n66702 100000\n25141 37802\n82925 100000\n9417 14191\n87054 100000\n56140 84260\n21668 32592\n19094 28732\n51069 76658\n89193 100000\n27925 41962\n94398 100000\n44560 66886\n50064 75171\n88239 100000\n56806 85249\n33660 50615\n73136 100000\n37659 56627\n18198 27386\n21467 32290\n54681 82068\n95307 100000\n21146 31809\n78111 100000\n96116 100000\n7826 11791\n38580 58007\n47364 71103\n48719 73179\n20610 31011\n84167 100000\n26557 39899\n13589 20456\n87786 100000\n96935 100000\n98378 100000\n90240 100000\n33872 50935\n68214 100000\n75171 100000\n6392 9607\n98651 100000\n98278 100000\n46803 70269\n31517 47393\n70100 100000\n6210 9319\n92891 100000\n92825 100000\n35666 53610\n16783 25232\n69455 100000\n97850 100000\n67939 100000\n48237 72445\n75165 100000\n22518 33868\n42308 63543\n60945 91491\n55823 83792\n8347 12581\n89696 100000\n85062 100000\n7856 11835\n44752 67175\n18229 27432\n28090 42203\n16853 25336\n14562 21925\n10704 16119\n72095 100000\n90422 100000\n60931 91469\n88571 100000\n9575 14421\n91488 100000\n64895 97364\n12053 18172\n80723 100000\n56190 84336\n9358 14105\n21263 31990\n44212 66387\n3847 5773\n82882 100000\n87881 100000\n11867 17894\n86482 100000\n54637 82002\n94885 100000\n37633 56587\n48146 72307\n74938 100000\n96021 100000\n33402 50231\n40130 60290\n82015 100000\n88884 100000\n49649 74559\n69717 100000\n99017 100000\n94831 100000\n2855 4314\n13520 20350\n14977 22546\n79943 100000\n6996 10535\n97407 100000\n67750 100000\n43543 65391\n96994 100000\n83799 100000\n22102 33250\n92511 100000\n98783 100000\n94760 100000\n89062 100000\n67541 100000\n36985 55618\n80749 100000\n80140 100000\n81645 100000\n95374 100000\n75367 100000\n907 1375\n80422 100000\n80494 100000\n64693 97062\n2696 4072\n34026 51175\n75388 100000\n6165 9254\n89400 100000\n72011 100000\n44005 66082\n92588 100000\n94065 100000\n26718 40142\n87068 100000\n52810 79270\n35149 52836\n82279 100000\n70690 100000\n54150 81277\n25997 39071\n87486 100000\n18101 27244\n21234 31944\n12537 18884\n32877 49461\n74068 100000\n44875 67359\n87362 100000\n40210 60408\n20351 30622\n18354 27620\n20410 30711\n67577 100000\n75643 100000\n58345 87581\n59079 88688\n57493 86285\n25070 37698\n20966 31550\n79231 100000\n62834 94317\n90139 100000\n28406 42683\n87974 100000\n68056 100000\n78960 100000\n16470 24760\n58879 88387\n65682 98522\n31765 47768\n55483 83275\n43612 65499\n5329 8014\n40430 60728\n65291 97939\n52826 79292\n90285 100000\n3875 5815\n68291 100000\n8242 12425\n83741 100000\n57076 85663\n35628 53554\n38984 58615\n15482 23278\n95738 100000\n82187 100000\n9691 14595\n92171 100000\n12842 19342\n38428 57783\n10100 15211\n15112 22749\n15033 22630\n51346 77081\n55049 82617\n20823 31335\n46494 69813\n65127 97695\n16614 24981\n60550 90882\n56548 84857\n23611 35512\n88245 100000\n44038 66131\n94328 100000\n44559 66885\n86297 100000\n54011 81063\n22457 33779\n46707 70118\n20024 30126\n30214 45403\n53610 80456\n24704 37156\n21662 32582\n55360 83091\n12452 18766\n76994 100000\n34308 51587\n41355 62112\n25073 37703\n67297 100000\n77896 100000\n16066 24151\n27880 41899\n42652 64068\n6260 9396\n64480 96739\n49118 73762\n24154 36333\n34853 52408\n64099 96173\n51532 77350\n88886 100000\n79169 100000\n18451 27767\n74277 100000\n24508 36857\n85629 100000\n4225 6337\n72562 100000\n78449 100000\n61741 92671\n54733 82146\n51184 76832\n78848 100000\n93325 100000\n32871 49450\n74272 100000\n87955 100000\n58681 88083\n8258 12447\n94566 100000\n81373 100000\n74886 100000\n84595 100000\n22072 33201\n82472 100000\n86906 100000\n72189 100000\n29382 44153\n66317 99489\n20447 30767\n59158 88806\n96739 100000\n51477 77273\n61446 92233\n94587 100000\n29494 44322\n84506 100000\n91912 100000\n56819 85272\n35769 53769\n37131 55837\n68918 100000\n38650 58109\n9316 14037\n96463 100000\n23788 35790\n11130 16760\n80572 100000\n70894 100000\n11523 17364\n66802 100000\n18409 27700\n82267 100000\n35513 53381\n80783 100000\n89470 100000\n28942 43492\n68873 100000\n56976 85507\n52321 78549\n3136 4732\n17620 26506\n76049 100000\n67049 100000\n13146 19799\n46037 69122\n92255 100000\n81955 100000\n54894 82388\n36284 54566\n26184 39350\n2503 3781\n1708 2587\n2804 4233\n70598 100000\n16309 24520\n27456 41269\n75636 100000\n71983 100000\n79700 100000\n99882 100000\n73766 100000\n2776 4193\n21085 31721\n8172 12313\n79269 100000\n89524 100000\n3162 4772\n63298 95000\n26466 39769\n99506 100000\n22937 34491\n5052 7583\n73551 100000\n88396 100000\n82627 100000\n71618 100000\n30356 45611\n1856 2816\n60524 90846\n76341 100000\n69891 100000\n93981 100000\n77056 100000\n19343 29091\n94286 100000\n84747 100000\n73312 100000\n36157 54359\n81870 100000\n98641 100000\n93228 100000\n85282 100000\n4960 7440\n25296 38032\n10224 15398\n84844 100000\n40197 60389\n67768 100000\n76771 100000\n25888 38913\n26651 40036\n16304 24514\n83900 100000\n18730 28183\n61166 91817\n45019 67590\n17840 26839\n2526 3816\n23093 34730\n40043 60156\n67248 100000\n69518 100000\n13291 20016\n9172 13811\n19202 28884\n7423 11181\n38693 58173\n10542 15877\n85496 100000\n19642 29533\n94451 100000\n47822 71793\n56123 84236\n15906 23908\n31206 46921\n55920 83933\n17373 26133\n53311 80009\n71208 100000\n28474 42780\n60757 91200\n15026 22619\n44139 66285\n23392 35180\n69109 100000\n42371 63639\n62292 93498\n32944 49561\n89691 100000\n16049 24128\n28023 42111\n90539 100000\n7205 10857\n47150 70779\n66789 100000\n8091 12191\n37930 57027\n77294 100000\n73762 100000\n64849 97296\n15217 22894\n79577 100000\n18897 28435\n24165 36348\n90550 100000\n50549 75885\n27662 41573\n59886 89896\n20309 30558\n92084 100000\n48193 72377\n64200 96324\n2632 3978\n91584 100000\n76565 100000\n12754 19210\n9543 14375\n19104 28743\n99930 100000\n19341 29089\n14184 21352\n29996 45073\n88155 100000\n86139 100000\n15507 23314\n46306 69530\n24031 36147\n33768 50780\n59268 88974\n45542 68375\n27079 40692\n84601 100000\n72656 100000\n87614 100000\n19274 28994\n53231 79890\n84607 100000\n31245 46983\n53268 79944\n93891 100000\n57526 86335\n99902 100000\n95969 100000\n61958 92996\n62475 93768\n69372 100000\n40177 60364\n60373 90622\n52077 78175\n55010 82562\n29102 43733\n62571 93918\n37911 57003\n57660 86540\n79792 100000\n9035 13607\n232 344\n46837 70325\n52473 78773\n75128 100000\n23597 35492\n53954 80979\n27529 41373\n49743 74692\n58991 88554\n63558 95388\n7980 12023\n76655 100000\n4151 6230\n25208 37903\n58233 87400\n91844 100000\n10939 16474\n65041 97564\n10171 15318\n3238 4881\n32227 48475\n40352 60612\n99332 100000\n73086 100000\n70658 100000\n32411 48750\n88663 100000\n28970 43538\n8119 12232\n76659 100000\n56851 85322\n66918 100000\n8692 13096\n33431 50276\n20211 30402\n62943 94475\n57281 85967\n19353 29108\n57216 85878\n679 1033\n81068 100000\n86970 100000\n63437 95205\n49990 75063\n86532 100000\n70777 100000\n84424 100000\n66869 100000\n76263 100000\n33916 51002\n13245 19942\n55275 82961\n83825 100000\n70003 100000\n5466 8208\n47313 71024\n41419 62212\n80251 100000\n92786 100000\n30615 46016\n49558 74420\n59025 88605\n11220 16896\n20054 30170\n50811 76269\n38274 57543\n31767 47771\n27807 41794\n92938 100000\n85094 100000\n68542 100000\n31784 47796\n18617 28006\n99652 100000\n39206 58925\n92073 100000\n50997 76549\n11327 17055\n55040 82607\n6183 9279\n86020 100000\n3841 5763\n60533 90859\n34086 51262\n28780 43248\n56767 85192\n35285 53044\n64673 97031\n20484 30825\n64756 97153\n64155 96258\n68136 100000\n71735 100000\n9490 14299\n97798 100000\n81321 100000\n32811 49360\n62033 93110\n21779 32759\n71856 100000\n78413 100000\n62902 94419\n18659 28073\n53498 80291\n29615 44508\n14978 22547\n79205 100000\n24099 36246\n90347 100000\n45721 68639\n19008 28603\n26599 39960\n12360 18625\n18928 28480\n14029 21121\n44658 67034\n98593 100000\n24316 36567\n55780 83726\n1460 2200\n95981 100000\n67754 100000\n36507 54904\n56664 85022\n427 643\n31758 47759\n5825 8743\n94971 100000\n76645 100000\n93824 100000\n46821 70298\n5838 8761\n51638 77507\n39918 59970\n82858 100000\n87503 100000\n52893 79391\n31584 47500\n97713 100000\n4343 6517\n12164 18334\n28564 42924\n57090 85685\n47240 70916\n21883 32921\n38955 58570\n12975 19546\n66411 99632\n53758 80678\n61307 92025\n33628 50568\n77963 100000\n86983 100000\n43784 65755\n54032 81094\n68619 100000\n91691 100000\n29791 44769\n25082 37716\n97720 100000\n10529 15860\n51383 77136\n76769 100000\n99410 100000\n13787 20753\n63963 95976\n25003 37597\n80799 100000\n21483 32309\n3290 4955\n78601 100000\n47600 71454\n69490 100000\n10942 16479\n45096 67701\n74821 100000\n49232 73934\n57593 86438\n73385 100000\n71841 100000\n55079 82663\n99324 100000\n9713 14627\n74422 100000\n55421 83179\n97258 100000\n90547 100000\n29122 43764\n42039 63140\n42383 63655\n80496 100000\n67733 100000\n39846 59865\n70956 100000\n83273 100000\n67464 100000\n47226 70895\n6154 9239\n60031 90113\n40340 60597\n54775 82214\n68644 100000\n29638 44539\n50865 76348\n65615 98420\n15737 23645\n30714 46168\n36058 54209\n65433 98148\n9969 15008\n63720 95620\n85373 100000\n50535 75864\n81031 100000\n27758 41718\n62865 94363\n37940 57042\n95885 100000\n48579 72966\n29802 44784\n41706 62646\n53921 80932\n52239 78421\n89242 100000\n46120 69241\n81635 100000\n90339 100000\n3040 4586\n77288 100000\n32803 49349\n7120 10730\n64684 97049\n10758 16202\n11085 16687\n65824 98735\n74535 100000\n92152 100000\n82208 100000\n84705 100000\n37717 56714\n41238 61935\n80954 100000\n40081 60216\n21996 33086\n6363 9561\n14247 21449\n18554 27912\n26710 40128\n78896 100000\n1628 2462\n43479 65297\n11905 17952\n11779 17761\n25926 38967\n75862 100000\n63578 95419\n3036 4580\n43472 65287\n78199 100000\n8284 12488\n14282 21503\n63722 95623\n28093 42208\n98884 100000\n21410 32204\n30933 46498\n86226 100000\n42625 64030\n1491 2249\n45329 68058\n86289 100000\n98547 100000\n42427 63718\n19936 29982\n50029 75123\n29369 44137\n74873 100000\n40707 61149\n47038 70621\n83545 100000\n10432 15725\n52690 79100\n19828 29819\n22365 33637\n49508 74347\n80872 100000\n95257 100000\n49163 73828\n12893 19422\n41600 62485\n15494 23294\n83022 100000\n14633 22032\n77837 100000\n48547 72922\n49442 74242\n53912 80921\n63218 94887\n75788 100000\n37268 56043\n99070 100000\n81763 100000\n69661 100000\n61914 92933\n79809 100000\n39954 60023\n85441 100000\n37889 56972\n43971 66034\n79287 100000\n55608 83465\n16381 24630\n64735 97125\n28740 43186\n24349 36616\n80082 100000\n55350 83075\n76705 100000\n43284 64997\n13415 20198\n81144 100000\n2840 4288\n9994 15046\n28266 42468\n63584 95428\n60697 91111\n30377 45645\n24921 37471\n6883 10355\n64543 96835\n49164 73830\n3956 5940\n77361 100000\n69892 100000\n62002 93058\n84402 100000\n76953 100000\n93389 100000\n72308 100000\n86431 100000\n67136 100000\n93288 100000\n20435 30750\n72145 100000\n89782 100000\n70430 100000\n14359 21626\n81419 100000\n74237 100000\n20201 30388\n79650 100000\n44678 67066\n98216 100000\n97679 100000\n40159 60335\n90698 100000\n86479 100000\n65607 98410\n67270 100000\n49407 74194\n19147 28803\n70028 100000\n31085 46729\n80551 100000\n56704 85082\n88473 100000\n41464 62281\n38279 57552\n73112 100000\n47590 71437\n5159 7748\n45272 67971\n63588 95434\n72703 100000\n82166 100000\n96846 100000\n45652 68535\n55076 82658\n29852 44859\n86320 100000\n17054 25647\n1365 2058\n44748 67168\n71326 100000\n82890 100000\n55158 82789\n71415 100000\n50124 75253\n22128 33286\n21178 31860\n41405 62189\n79573 100000\n54539 81858\n118 174\n35789 53797\n15755 23673\n23391 35178\n85669 100000\n46388 69653\n74802 100000\n56895 85386\n46465 69771\n10225 15400\n59949 89993\n96536 100000\n34116 51308\n76054 100000\n23060 34675\n77296 100000\n81418 100000\n17666 26574\n67982 100000\n98251 100000\n23003 34591\n67202 100000\n57268 85949\n32373 48696\n10191 15348\n54749 82172\n57714 86623\n39463 59312\n22792 34275\n35305 53075\n4060 6102\n88122 100000\n24711 37165\n60356 90596\n10050 15135\n98770 100000\n86928 100000\n4453 6682\n21020 31627\n90892 100000\n25396 38181\n31574 47484\n47772 71720\n81511 100000\n48005 72083\n38522 57923\n81558 100000\n15938 23950\n21167 31843\n84926 100000\n18530 27881\n39142 58836\n47826 71799\n86847 100000\n58877 88384\n1129 1707\n9806 14766\n38181 57399\n65363 98043\n48730 73197\n78473 100000\n65099 97653\n55045 82613\n28392 42661\n65804 98706\n93386 100000\n22385 33667\n55185 82831\n39685 59638\n78786 100000\n44624 66983\n42213 63396\n77777 100000\n37415 56261\n27126 40765\n59161 88809\n34442 51785\n93279 100000\n75562 100000\n34549 51934\n34100 51281\n327 491\n87450 100000\n95724 100000\n97628 100000\n20507 30861\n93650 100000\n8257 12445\n9514 14332\n55064 82637\n86939 100000\n70378 100000\n22361 33631\n87870 100000\n86158 100000\n83527 100000\n42551 63911\n83929 100000\n88063 100000\n50329 75563\n1468 2213\n8503 12818\n78551 100000\n35147 52833\n56493 84775\n16551 24885\n85156 100000\n67672 100000\n44111 66241\n61477 92282\n86299 100000\n18084 27214\n1183 1786\n13227 19916\n53032 79598\n18152 27317\n97520 100000\n82552 100000\n23912 35984\n89630 100000\n2025 3056\n38178 57394\n90317 100000\n79729 100000\n92620 100000\n84577 100000\n25667 38584\n95669 100000\n65297 97948\n9637 14516\n72193 100000\n42426 63716\n89648 100000\n11166 16815\n83892 100000\n39605 59518\n34783 52297\n39835 59851\n5994 8997\n12144 18307\n13547 20394\n78860 100000\n61902 92915\n94539 100000\n85703 100000\n91447 100000\n45396 68160\n23455 35270\n45222 67887\n20819 31331\n84165 100000\n21548 32399\n8961 13499\n43653 65558\n99830 100000\n47944 71988\n61340 92075\n62828 94310\n97907 100000\n12662 19070\n73573 100000\n86828 100000\n74767 100000\n26403 39679\n93105 100000\n14357 21623\n33008 49658\n18102 27245\n99585 100000\n14374 21651\n25076 37708\n8190 12340\n85657 100000\n59544 89386\n67826 100000\n90095 100000\n94642 100000\n31783 47795\n35319 53098\n31295 47057\n20841 31363\n97900 100000\n48805 73294\n14763 22231\n44040 66134\n43287 65002\n59131 88762\n19905 29937\n53899 80900\n43959 66016\n47256 70940\n23401 35193\n84679 100000\n67435 100000\n30972 46561\n57390 86130\n72330 100000\n3727 5590\n5580 8373\n15293 23000\n35062 52711\n57572 86404\n87138 100000\n6718 10106\n76033 100000\n19635 29524\n32772 49301\n44320 66544\n60331 90560\n78375 100000\n16986 25540\n53135 79747\n3254 4906\n29183 43854\n98902 100000\n79875 100000\n47020 70592\n96910 100000\n78704 100000\n40307 60546\n43862 65875\n61542 92378\n61664 92563\n47711 71630\n60273 90474\n43385 65155\n35024 52653\n4611 6917\n96068 100000\n23486 35318\n38560 57982\n73391 100000\n8001 12058\n84864 100000\n52035 78113\n50169 75321\n32639 49103\n19217 28906\n30621 46023\n27840 41843\n42560 63923\n34997 52615\n73683 100000\n63514 95316\n70108 100000\n76136 100000\n88015 100000\n90696 100000\n2406 3638\n50826 76291\n3295 4961\n41836 62841\n12501 18831\n15050 22658\n17825 26819\n21840 32854\n21288 32028\n41442 62246\n45892 68903\n86211 100000\n35448 53287\n97791 100000\n77305 100000\n57704 86607\n12658 19064\n81516 100000\n71031 100000\n40897 61432\n77788 100000\n30733 46197\n74513 100000\n71423 100000\n43858 65869\n74469 100000\n36238 54493\n95898 100000\n47862 71852\n22725 34179\n16629 25004\n41572 62445\n47528 71348\n35031 52662\n80286 100000\n97689 100000\n24452 36766\n39348 59143\n93970 100000\n23255 34965\n81863 100000\n71446 100000\n59616 89491\n49276 74000\n62657 94047\n57817 86773\n4394 6595\n62394 93651\n20332 30593\n79247 100000\n26434 39727\n29219 43915\n90057 100000\n47477 71274\n89375 100000\n20256 30476\n24975 37553\n21726 32681\n13192 19867\n87587 100000\n58009 87068\n5380 8085\n15003 22585\n5065 7603\n81657 100000\n2816 4252\n82859 100000\n41855 62872\n26855 40357\n24719 37176\n5591 8393\n85506 100000\n45935 68965\n95301 100000\n65866 98800\n48156 72323\n18834 28341\n32759 49279\n80035 100000\n67558 100000\n18457 27776\n26256 39458\n94736 100000\n18453 27769\n55650 83525\n80966 100000\n12619 19004\n80172 100000\n24109 36261\n91146 100000\n45509 68326\n99133 100000\n52693 79105\n63982 96002\n76073 100000\n48831 73337\n6571 9874\n12764 19225\n56567 84885\n93666 100000\n94776 100000\n42363 63628\n38459 57827\n88093 100000\n21975 33057\n72155 100000\n115 169\n46351 69595\n25805 38786\n83136 100000\n44478 66766\n42473 63792\n89651 100000\n26706 40122\n93298 100000\n65653 98477\n51991 78049\n82046 100000\n79374 100000\n93107 100000\n9765 14705\n97001 100000\n74477 100000\n87317 100000\n93828 100000\n69783 100000\n5416 8140\n78192 100000\n42777 64252\n61638 92518\n73737 100000\n71290 100000\n19882 29902\n72109 100000\n69300 100000\n34704 52178\n91581 100000\n45594 68452\n9164 13799\n84042 100000\n94363 100000\n80528 100000\n69761 100000\n96471 100000\n84604 100000\n32455 48820\n43634 65531\n26465 39768\n44061 66168\n57652 86528\n11418 17195\n19201 28883\n30778 46262\n51136 76759\n69906 100000\n92998 100000\n80242 100000\n76754 100000\n24531 36891\n93816 100000\n95702 100000\n60881 91393\n68559 100000\n85175 100000\n70449 100000\n54774 82212\n41179 61847\n75070 100000\n62995 94557\n84737 100000\n50773 76217\n48472 72807\n25714 38655\n60819 91301\n14675 22097\n80329 100000\n81214 100000\n15596 23446\n1110 1680\n97837 100000\n11118 16741\n57109 85714\n11411 17183\n36759 55274\n36051 54198\n94754 100000\n47437 71214\n17812 26798\n23872 35922\n17731 26676\n33196 49933\n65216 97830\n86990 100000\n95104 100000\n99302 100000\n19696 29621\n44425 66691\n20308 30556\n58239 87412\n38905 58492\n19463 29273\n19285 29007\n76200 100000\n92390 100000\n22220 33423\n97137 100000\n36211 54449\n63339 95059\n14500 21840\n4519 6778\n96103 100000\n99077 100000\n14720 22162\n12165 18335\n66704 100000\n7744 11678\n30872 46404\n95053 100000\n92 137\n89005 100000\n41773 62742\n3417 5139\n54186 81332\n32468 48838\n72657 100000\n55148 82776\n87527 100000\n67665 100000\n45486 68296\n33943 51043\n54491 81785\n79804 100000\n22138 33303\n75999 100000\n26687 40093\n1953 2949\n6447 9696\n47248 70925\n26199 39375\n61753 92690\n37266 56039\n40628 61032\n79227 100000\n18416 27710\n58844 88337\n1644 2489\n94955 100000\n3321 5000\n41164 61823\n8510 12827\n16587 24937\n89414 100000\n97063 100000\n75023 100000\n91450 100000\n75722 100000\n2798 4223\n12361 18626\n32538 48943\n22165 33343\n89829 100000\n5984 8981\n94595 100000\n58539 87867\n94260 100000\n12372 18646\n38884 58460\n16099 24202\n46787 70245\n20277 30508\n34461 51812\n7151 10776\n7953 11985\n50410 75681\n90859 100000\n23074 34698\n95896 100000\n16696 25105\n51637 77505\n64222 96355\n7111 10717\n34271 51535\n99571 100000\n80011 100000\n35632 53562\n61195 91862\n55709 83620\n22797 34282\n97594 100000\n21676 32605\n43722 65660\n552 838\n44922 67436\n44666 67047\n30145 45293\n146 218\n9792 14747\n58366 87611\n81639 100000\n23543 35403\n8213 12378\n62826 94307\n68557 100000\n49332 74083\n84375 100000\n44980 67528\n42174 63339\n66348 99536\n19225 28916\n94622 100000\n27198 40871\n82793 100000\n68222 100000\n18507 27847\n59074 88681\n28465 42769\n40200 60395\n92680 100000\n16873 25365\n79851 100000\n22730 34185\n47189 70838\n23096 34734\n72620 100000\n57457 86231\n64310 96487\n76649 100000\n88004 100000\n17139 25771\n42788 64269\n63299 95001\n58048 87123\n54976 82511\n57324 86031\n75254 100000\n26554 39895\n73500 100000\n53776 80707\n11983 18070\n45799 68759\n83992 100000\n41817 62813\n44527 66836\n95128 100000\n56921 85422\n53800 80748\n56334 84549\n50639 76015\n45999 69066\n6628 9961\n18774 28251\n15928 23936\n46113 69230\n64024 96063\n85147 100000\n63148 94783\n34747 52242\n72695 100000\n76859 100000\n6785 10207\n67363 100000\n12001 18094\n79138 100000\n94208 100000\n13031 19628\n78955 100000\n31928 48012\n16561 24898\n51143 76769\n5854 8784\n76685 100000\n8247 12433\n53329 80039\n98468 100000\n34563 51954\n10740 16176\n62211 93375\n26670 40068\n66829 100000\n21899 32944\n52544 78883\n32363 48681\n95372 100000\n19666 29571\n67962 100000\n25730 38678\n27471 41290\n13563 20415\n64711 97088\n76068 100000\n71940 100000\n2323 3508\n45255 67945\n28415 42696\n83558 100000\n57209 85867\n96955 100000\n71250 100000\n42313 63551\n82950 100000\n51903 77914\n38734 58234\n908 1377\n42256 63462\n26927 40462\n9495 14305\n71436 100000\n32955 49580\n53960 80988\n8165 12301\n68543 100000\n31772 47779\n81606 100000\n70070 100000\n35754 53748\n24838 37351\n17066 25665\n25921 38960\n15777 23707\n54997 82543\n75604 100000\n39597 59506\n51352 77088\n21170 31848\n34860 52417\n88457 100000\n67405 100000\n72442 100000\n90905 100000\n17306 26026\n42984 64557\n7449 11223\n87652 100000\n40372 60640\n36932 55537\n87872 100000\n34350 51650\n78904 100000\n90454 100000\n90853 100000\n54572 81908\n11552 17406\n64859 97310\n35820 53845\n98520 100000\n30303 45531\n15705 23601\n85908 100000\n66608 99923\n31920 48001\n46509 69835\n18871 28399\n97110 100000\n31999 48121\n42458 63770\n39467 59318\n62700 94114\n62857 94351\n27266 40975\n59762 89719\n62581 93933\n34290 51560\n40178 60365\n39203 58921\n88386 100000\n87803 100000\n75498 100000\n21990 33078\n3737 5605\n41272 61986\n94072 100000\n15587 23431\n119 176\n34614 52033\n60194 90349\n58376 87625\n11500 17331\n1927 2911\n13097 19726\n34223 51467\n23090 34724\n55524 83336\n66642 99977\n89046 100000\n78672 100000\n52319 78545\n73309 100000\n99136 100000\n79207 100000\n13375 20141\n67574 100000\n58678 88078\n86362 100000\n48907 73445\n98966 100000\n20290 30527\n93785 100000\n41638 62548\n7296 10996\n48610 73011\n72779 100000\n89466 100000\n68558 100000\n17252 25938\n45930 68955\n24505 36853\n91445 100000\n30125 45264\n37667 56639\n74011 100000\n18364 27634\n5091 7641\n88456 100000\n6207 9315\n68339 100000\n58633 88008\n97726 100000\n8126 12244\n11729 17689\n94977 100000\n23878 35931\n96418 100000\n74125 100000\n72065 100000\n57462 86239\n16616 24984\n48898 73430\n98659 100000\n29201 43885\n81718 100000\n69252 100000\n77481 100000\n62825 94306\n52854 79334\n18761 28231\n86283 100000\n99642 100000\n72370 100000\n10730 16160\n91855 100000\n71681 100000\n649 984\n16682 25085\n67162 100000\n27045 40639\n99916 100000\n7016 10569\n34238 51488\n79971 100000\n46444 69737\n98988 100000\n25501 38338\n66744 100000\n47624 71492\n423 636\n67237 100000\n18174 27348\n69348 100000\n33681 50646\n18943 28503\n58922 88450\n78100 100000\n53578 80409\n25442 38256\n81783 100000\n4356 6534\n18807 28301\n34975 52583\n20171 30343\n4616 6926\n86240 100000\n13852 20861\n66251 99391\n99366 100000\n96405 100000\n32016 48142\n61467 92266\n72667 100000\n30929 46491\n20855 31382\n72059 100000\n43748 65703\n76550 100000\n85407 100000\n12560 18917\n69311 100000\n66846 100000\n51572 77409\n81802 100000\n51317 77037\n9986 15034\n1045 1584\n50302 75520\n17978 27053\n98683 100000\n76594 100000\n42866 64381\n28563 42922\n37193 55929\n28008 42088\n3846 5771\n90949 100000\n84191 100000\n9012 13576\n13451 20253\n8840 13315\n19320 29060\n11103 16717\n97496 100000\n5256 7895\n39073 58744\n31760 47762\n28130 42264\n21801 32794\n87879 100000\n10561 15904\n28852 43361\n5342 8030\n56901 85395\n83392 100000\n1098 1663\n94856 100000\n28503 42826\n49559 74421\n50480 75786\n95415 100000\n2236 3378\n31769 47774\n56796 85235\n44134 66278\n16764 25204\n85009 100000\n3283 4945\n62370 93611\n68980 100000\n85840 100000\n48255 72471\n4382 6575\n7209 10863\n55406 83158\n68926 100000\n2457 3713\n3249 4899\n75651 100000\n30626 46029\n81182 100000\n20156 30322\n30812 46308\n47495 71302\n60781 91237\n30701 46147\n69855 100000\n16362 24599\n40497 60828\n96225 100000\n54635 82000\n4227 6339\n81365 100000\n33635 50579\n84727 100000\n68000 100000\n89708 100000\n71121 100000\n83346 100000\n24388 36672\n94877 100000\n27926 41964\n45404 68172\n68012 100000\n7499 11303\n85814 100000\n86366 100000\n3502 5255\n98053 100000\n64677 97037\n74369 100000\n58657 88046\n89886 100000\n9226 13893\n57197 85846\n91657 100000\n41738 62693\n88720 100000\n22057 33178\n23312 35054\n17178 25826\n42906 64439\n70656 100000\n63166 94811\n29590 44472\n98284 100000\n85236 100000\n54190 81338\n86658 100000\n37660 56628\n93262 100000\n60032 90114\n43413 65198\n39444 59284\n37750 56765\n81927 100000\n73780 100000\n95837 100000\n29008 43592\n51632 77498\n25277 38007\n25585 38457\n55657 83534\n54805 82257\n86929 100000\n97741 100000\n86424 100000\n94196 100000\n77466 100000\n84457 100000\n68517 100000\n29547 44404\n73113 100000\n88189 100000\n27353 41104\n22142 33310\n46236 69420\n69175 100000\n3239 4883\n16743 25171\n12825 19319\n27183 40847\n9634 14511\n27899 41924\n59648 89540\n88023 100000\n26027 39113\n76137 100000\n36126 54312\n53344 80061\n53611 80457\n39030 58681\n66144 99231\n65253 97888\n43024 64613\n62747 94185\n44878 67364\n64579 96891\n78575 100000\n17310 26033\n68098 100000\n25137 37796\n24334 36591\n17850 26854\n75259 100000\n22223 33429\n39837 59853\n376 561\n47281 70974\n23955 36042\n90165 100000\n80441 100000\n626 953\n49947 75004\n96987 100000\n76420 100000\n85492 100000\n48902 73436\n28059 42160\n71838 100000\n4648 6976\n89914 100000\n62357 93591\n53396 80139\n37746 56759\n61698 92610\n79370 100000\n61072 91683\n9383 14141\n75903 100000\n75311 100000\n18626 28020\n57266 85946\n72110 100000\n70570 100000\n16228 24402\n32778 49308\n82663 100000\n27235 40928\n39171 58877\n28007 42087\n68024 100000\n35280 53035\n39024 58673\n251 374\n12660 19067\n34039 51190\n89981 100000\n53787 80725\n4253 6381\n36033 54167\n50663 76054\n79260 100000\n53103 79701\n30082 45198\n27351 41101\n76520 100000\n87569 100000\n47836 71812\n67610 100000\n6125 9196\n34429 51764\n15547 23367\n28980 43551\n72624 100000\n24554 36929\n28885 43405\n16665 25058\n8450 12740\n71275 100000\n36544 54956\n11952 18025\n59860 89857\n58445 87726\n40550 60907\n54696 82091\n40396 60679\n2193 3309\n58949 88492\n99220 100000\n74532 100000\n55559 83393\n4094 6146\n26542 39879\n46224 69400\n55108 82710\n92476 100000\n19435 29231\n30191 45369\n78789 100000\n72008 100000\n33763 50773\n32149 48350\n10645 16031\n99566 100000\n1775 2693\n73084 100000\n36797 55327\n11723 17681\n47322 71041\n75970 100000\n29063 43677\n50060 75166\n45217 67880\n66716 100000\n67979 100000\n6689 10058\n80759 100000\n93645 100000\n13289 20013\n21723 32678\n32262 48532\n18905 28447\n11376 17128\n96414 100000\n56941 85454\n14080 21191\n42009 63098\n75352 100000\n96520 100000\n38222 57464\n45854 68843\n60693 91107\n53575 80404\n48444 72763\n92475 100000\n92582 100000\n31419 47244\n2111 3182\n98011 100000\n12584 18954\n21223 31927\n44167 66327\n94255 100000\n7783 11735\n60075 90176\n13748 20694\n94149 100000\n98232 100000\n71878 100000\n61388 92142\n97852 100000\n98867 100000\n92794 100000\n51208 76865\n88451 100000\n13763 20718\n39538 59420\n5523 8293\n24626 37034\n97834 100000\n33232 49985\n13407 20186\n72483 100000\n98773 100000\n21778 32757\n8264 12455\n11773 17755\n80866 100000\n94071 100000\n46661 70053\n65773 98655\n5440 8172\n51244 76921\n47957 72012\n55249 82923\n33194 49931\n30578 45957\n9065 13654\n90531 100000\n54496 81794\n29572 44445\n50438 75725\n9305 14020\n20677 31113\n92034 100000\n2666 4027\n60250 90434\n68750 100000\n52165 78308\n97458 100000\n49821 74808\n70148 100000\n47489 71293\n44597 66944\n14714 22154\n2427 3667\n64124 96213\n24594 36989\n12863 19375\n3880 5822\n93602 100000\n2980 4493\n80380 100000\n60731 91158\n38180 57398\n82322 100000\n38245 57501\n76160 100000\n58298 87510\n86490 100000\n89101 100000\n24465 36788\n21994 33084\n6439 9685\n85125 100000\n84663 100000\n45142 67767\n14290 21516\n77710 100000\n44270 66466\n91939 100000\n42870 64385\n1560 2357\n62260 93451\n36391 54731\n50735 76162\n10610 15978\n78175 100000\n27037 40627\n27643 41545\n50056 75160\n44717 67121\n8761 13195\n23660 35590\n41558 62424\n79768 100000\n34873 52435\n80396 100000\n33259 50027\n98096 100000\n2702 4081\n62083 93182\n58915 88440\n40420 60716\n6734 10128\n13621 20503\n77792 100000\n57010 85559\n58193 87341\n59355 89111\n30089 45210\n26856 40359\n37455 56323\n80825 100000\n27850 41856\n44949 67479\n42089 63212\n5407 8126\n78456 100000\n91157 100000\n54090 81181\n13442 20240\n49017 73606\n96023 100000\n53093 79687\n41359 62118\n37297 56088\n92698 100000\n76293 100000\n48126 72272\n11190 16850\n10389 15656\n41846 62859\n37549 56463\n56584 84908\n35689 53649\n67052 100000\n37457 56327\n99249 100000\n13296 20024\n74028 100000\n99466 100000\n5152 7736\n91708 100000\n82664 100000\n75646 100000\n80717 100000\n90480 100000\n94384 100000\n71015 100000\n93796 100000\n41399 62179\n61756 92694\n30223 45414\n1075 1625\n16110 24221\n59423 89215\n41067 61680\n44942 67467\n70778 100000\n19578 29444\n56556 84868\n55502 83305\n53197 79840\n58031 87099\n99635 100000\n711 1082\n21653 32570\n95196 100000\n8534 12864\n1511 2282\n10708 16126\n58873 88378\n11734 17698\n25188 37875\n73923 100000\n67077 100000\n29819 44806\n67659 100000\n82199 100000\n42558 63921\n18478 27803\n59869 89870\n27980 42049\n36267 54540\n94527 100000\n68534 100000\n17163 25807\n15322 23041\n39763 59745\n33588 50509\n16643 25023\n14985 22557\n12375 18650\n26925 40459\n71974 100000\n71452 100000\n82597 100000\n87053 100000\n76259 100000\n36520 54920\n23867 35914\n5599 8406\n38821 58368\n39926 59981\n81933 100000\n47647 71530\n44233 66415\n42125 63262\n36374 54703\n15826 23783\n25499 38335\n92057 100000\n99117 100000\n1234 1859\n71463 100000\n60070 90170\n75180 100000\n83082 100000\n94544 100000\n54180 81323\n11831 17839\n37662 56632\n38999 58639\n1954 2950\n64996 97502\n69440 100000\n7252 10926\n35337 53122\n12403 18690\n14817 22315\n53642 80503\n40066 60189\n24608 37008\n81270 100000\n61680 92582\n23124 34777\n5413 8134\n57541 86357\n11607 17495\n59068 88672\n79063 100000\n77880 100000\n18873 28401\n13463 20271\n85110 100000\n29094 43722\n75492 100000\n54865 82342\n55733 83653\n52337 78572\n93230 100000\n54626 81987\n19934 29980\n35132 52812\n37122 55825\n88879 100000\n73882 100000\n34605 52019\n36595 55031\n53390 80131\n83915 100000\n6820 10263\n13612 20489\n78823 100000\n50010 75095\n86739 100000\n76773 100000\n37124 55828\n43972 66035\n84924 100000\n15376 23118\n54294 81503\n98489 100000\n89198 100000\n71186 100000\n70023 100000\n88964 100000\n97053 100000\n9907 14912\n67218 100000\n99853 100000\n33851 50904\n86750 100000\n68678 100000\n40688 61121\n39581 59481\n43456 65264\n27145 40794\n25776 38749\n39534 59414\n23683 35628\n62495 93794\n9154 13782\n73211 100000\n72358 100000\n84820 100000\n98821 100000\n8349 12584\n5858 8790\n65813 98718\n51730 77645\n79970 100000\n72732 100000\n71536 100000\n16344 24573\n59657 89553\n37886 56968\n88246 100000\n48268 72491\n45410 68182\n41924 62976\n29924 44964\n31900 47970\n55192 82841\n481 725\n40002 60098\n10747 16187\n74705 100000\n24136 36302\n71787 100000\n79934 100000\n15169 22826\n14766 22236\n72533 100000\n59764 89721\n44625 66985\n9044 13622\n20654 31077\n1877 2842\n24584 36972\n37296 56086\n69149 100000\n12897 19429\n63948 95954\n74246 100000\n50714 76129\n89281 100000\n20180 30357\n46133 69260\n10119 15241\n75428 100000\n57351 86073\n2777 4194\n8741 13162\n57304 86003\n1090 1651\n24393 36681\n53465 80240\n85768 100000\n33803 50830\n30112 45243\n38422 57772\n94747 100000\n33792 50814\n29103 43735\n99982 100000\n48143 72302\n18400 27686\n87967 100000\n18379 27656\n74755 100000\n57909 86915\n29561 44427\n7174 10809\n33380 50195\n27186 40852\n40767 61235\n56988 85523\n46102 69216\n62057 93144\n93149 100000\n373 558\n5871 8812\n40431 60730\n82053 100000\n38542 57955\n45241 67920\n75145 100000\n45050 67634\n99701 100000\n79927 100000\n36230 54481\n90069 100000\n61517 92341\n34506 51875\n66305 99471\n61491 92302\n60450 90738\n55841 83817\n47557 71391\n47586 71432\n8217 12385\n79026 100000\n22881 34414\n83470 100000\n41991 63075\n91414 100000\n77385 100000\n37766 56788\n41708 62649\n56344 84561\n78874 100000\n59411 89197\n27413 41203\n50829 76297\n54704 82104\n57846 86817\n36763 55280\n8069 12159\n20295 30535\n29389 44166\n88422 100000\n36485 54868\n79020 100000\n18739 28197\n87202 100000\n7517 11330\n30141 45287\n37993 57119\n41312 62047\n15325 23045\n76220 100000\n14439 21748\n2363 3572\n23222 34921\n40502 60835\n18117 27267\n92810 100000\n99462 100000\n60976 91543\n21834 32845\n85126 100000\n33613 50546\n34214 51454\n30018 45104\n86357 100000\n77448 100000\n40350 60610\n53467 80244\n1820 2760\n73235 100000\n72084 100000\n69054 100000\n84993 100000\n81389 100000\n18665 28082\n81400 100000\n31982 48095\n58568 87915\n35072 52726\n59716 89648\n53644 80506\n14652 22063\n7250 10922\n29457 44267\n42497 63829\n94755 100000\n24694 37137\n67258 100000\n65470 98207\n31914 47991\n26061 39160\n42766 64236\n52228 78407\n40671 61099\n5704 8560\n93983 100000\n51760 77691\n71496 100000\n48235 72441\n19101 28740\n24752 37226\n31439 47277\n31696 47667\n37588 56518\n83733 100000\n1240 1868\n11496 17326\n14796 22281\n69558 100000\n48895 73425\n35983 54087\n93799 100000\n83103 100000\n1158 1752\n49595 74478\n53802 80751\n18398 27683\n13769 20727\n4135 6206\n30206 45392\n88146 100000\n95348 100000\n88524 100000\n449 676\n35819 53844\n6238 9358\n99569 100000\n15130 22772\n13897 20926\n1212 1829\n11332 17065\n65262 97901\n82459 100000\n75799 100000\n90188 100000\n92551 100000\n34202 51434\n57853 86828\n55556 83389\n91626 100000\n34087 51263\n8484 12787\n57884 86875\n80117 100000\n70111 100000\n70302 100000\n65309 97971\n56039 84117\n8315 12533\n7910 11916\n95912 100000\n28517 42849\n65641 98459\n48452 72775\n12522 18862\n32399 48732\n46383 69645\n58083 87178\n84413 100000\n72163 100000\n68936 100000\n84713 100000\n58455 87742\n8186 12335\n88114 100000\n80292 100000\n33426 50270\n94814 100000\n94802 100000\n37274 56052\n50436 75722\n84235 100000\n56822 85275\n62750 94189\n23338 35096\n55264 82945\n66095 99152\n58171 87312\n60718 91138\n59373 89141\n65044 97569\n81787 100000\n4093 6145\n26281 39496\n54923 82429\n77350 100000\n59960 90008\n63322 95035\n23418 35218\n42842 64345\n77813 100000\n11615 17508\n89456 100000\n61362 92106\n99164 100000\n80353 100000\n67854 100000\n41929 62982\n837 1271\n11585 17460\n10376 15638\n29771 44742\n98918 100000\n90206 100000\n69293 100000\n4015 6032\n66052 99085\n25118 37770\n43997 66071\n84272 100000\n50284 75495\n43407 65190\n8680 13081\n60345 90581\n71156 100000\n99345 100000\n78650 100000\n65420 98125\n83244 100000\n2635 3982\n25851 38857\n99879 100000\n54858 82333\n48685 73122\n58919 88444\n8930 13451\n65380 98068\n23390 35177\n36423 54777\n7505 11312\n12273 18491\n60843 91337\n63262 94952\n59404 89187\n22265 33494\n83865 100000\n77366 100000\n11018 16590\n38871 58441\n34175 51394\n19570 29431\n96134 100000\n33852 50906\n38254 57514\n82024 100000\n66459 99705\n81019 100000\n4925 7392\n85362 100000\n3109 4692\n64694 97064\n42212 63394\n18885 28418\n69247 100000\n62557 93895\n76664 100000\n10541 15876\n26462 39765\n13819 20806\n43436 65235\n84937 100000\n80281 100000\n48640 73053\n55103 82701\n14669 22087\n20953 31532\n30629 46035\n58794 88260\n25135 37794\n68905 100000\n70622 100000\n13086 19709\n15861 23839\n26923 40457\n99331 100000\n28429 42717\n36709 55200\n10748 16189\n97221 100000\n18287 27519\n35677 53629\n94423 100000\n70813 100000\n80807 100000\n45287 67993\n90580 100000\n1786 2712\n28666 43077\n77237 100000\n26017 39098\n42958 64518\n32109 48285\n65697 98545\n38363 57679\n16984 25538\n26963 40512\n97806 100000\n73667 100000\n42890 64415\n54117 81227\n99889 100000\n4998 7500\n52981 79527\n46428 69710\n35002 52621\n76782 100000\n9171 13809\n92291 100000\n91836 100000\n23680 35622\n78180 100000\n44451 66728\n1970 2978\n67191 100000\n78887 100000\n67509 100000\n16240 24421\n82747 100000\n50900 76403\n55265 82947\n18980 28561\n38945 58555\n51957 77992\n91615 100000\n25677 38599\n12838 19337\n72132 100000\n52779 79225\n36093 54262\n33683 50650\n83519 100000\n47955 72009\n66327 99504\n29987 45058\n3080 4647\n36765 55283\n82608 100000\n14773 22244\n84656 100000\n57340 86058\n45715 68630\n42280 63500\n3255 4908\n50394 75657\n14364 21635\n24878 37410\n42807 64294\n2851 4307\n38977 58603\n91424 100000\n1840 2789\n28103 42222\n71521 100000\n70541 100000\n24621 37029\n26167 39325\n29205 43892\n66791 100000\n6314 9477\n48496 72848\n15806 23752\n99021 100000\n41115 61754\n44562 66890\n57937 86955\n46962 70508\n44034 66125\n3144 4744\n40033 60143\n91334 100000\n39739 59715\n37767 56790\n68555 100000\n3179 4795\n44813 67269\n91797 100000\n24563 36940\n75946 100000\n92512 100000\n77088 100000\n9441 14227\n32611 49061\n40883 61411\n39001 58643\n9222 13887\n38760 58276\n4445 6670\n95392 100000\n86663 100000\n70493 100000\n96259 100000\n99695 100000\n35537 53418\n16929 25457\n33379 50194\n12472 18791\n52962 79498\n24679 37117\n20640 31056\n51579 77422\n46677 70077\n4398 6601\n60080 90186\n40687 61119\n65624 98435\n31603 47529\n38348 57661\n96526 100000\n8911 13424\n67233 100000\n77152 100000\n18979 28559\n32557 48971\n20592 30988\n24713 37169\n58072 87160\n22843 34355\n75217 100000\n79658 100000\n10505 15826\n68470 100000\n45533 68362\n40127 60285\n51127 76745\n2949 4449\n87822 100000\n66772 100000\n33793 50816\n75841 100000\n33767 50779\n85762 100000\n20603 31002\n53735 80644\n6768 10181\n64364 96564\n74895 100000\n14949 22502\n27473 41293\n80283 100000\n14682 22106\n96675 100000\n14583 21960\n67137 100000\n43994 66067\n24969 37542\n18830 28335\n75795 100000\n26644 40027\n91219 100000\n50026 75120\n9823 14785\n60821 91303\n37049 55712\n33761 50769\n50892 76388\n96352 100000\n66908 100000\n3450 5182\n93962 100000\n85682 100000\n50322 75553\n61505 92323\n46988 70544\n37583 56512\n13645 20541\n88843 100000\n24479 36812\n45090 67690\n30357 45613\n88119 100000\n60927 91464\n4102 6158\n76312 100000\n5589 8389\n88403 100000\n26509 39830\n14113 21236\n77904 100000\n80913 100000\n14610 22000\n41819 62816\n85466 100000\n78638 100000\n70335 100000\n11216 16889\n89879 100000\n6266 9405\n46788 70247\n89992 100000\n12180 18357\n63607 95459\n37306 56100\n23999 36099\n66200 99313\n59338 89086\n49877 74897\n1658 2509\n21503 32337\n18787 28271\n18095 27233\n25626 38521\n42712 64158\n12737 19184\n36885 55467\n50919 76431\n68834 100000\n13472 20285\n87945 100000\n37725 56728\n62811 94285\n74160 100000\n5106 7661\n37424 56273\n77915 100000\n81414 100000\n69505 100000\n42492 63822\n85570 100000\n95776 100000\n94288 100000\n22207 33405\n40551 60908\n98194 100000\n23652 35578\n71450 100000\n26801 40272\n43597 65476\n72714 100000\n52988 79539\n26983 40539\n86979 100000\n9439 14224\n74503 100000\n68271 100000\n72601 100000\n55886 83882\n35415 53235\n22553 33918\n50681 76079\n63705 95602\n23279 35002\n66111 99178\n39828 59840\n45538 68369\n89319 100000\n12965 19530\n94743 100000\n63120 94745\n81871 100000\n35771 53772\n87556 100000\n45031 67607\n17429 26214\n22674 34102\n62321 93541\n72261 100000\n94188 100000\n82798 100000\n29550 44408\n27267 40977\n88982 100000\n19198 28880\n33081 49766\n31702 47679\n18295 27531\n81060 100000\n92400 100000\n26373 39635\n43552 65405\n71743 100000\n1135 1717\n51833 77799\n71458 100000\n78516 100000\n19239 28939\n58914 88439\n53613 80460\n28725 43165\n71203 100000\n8028 12096\n33758 50766\n4194 6295\n71166 100000\n62262 93454\n34230 51477\n3520 5282\n14505 21847\n55847 83825\n46676 70075\n4968 7451\n76047 100000\n34040 51191\n69528 100000\n9647 14534\n4538 6808\n50268 75474\n43904 65933\n59073 88679\n36695 55181\n14351 21614\n73987 100000\n44554 66880\n40104 60249\n21759 32730\n39007 58651\n83778 100000\n97661 100000\n63069 94669\n5258 7899\n70625 100000\n82824 100000\n30338 45582\n75225 100000\n65268 97908\n41857 62874\n34596 52005\n39808 59808\n56196 84345\n35134 52816\n19565 29423\n56538 84842\n26627 40001\n3340 5029\n45252 67940\n62546 93877\n4889 7337\n22060 33183\n68647 100000\n75733 100000\n63711 95609\n15863 23842\n61035 91626\n68509 100000\n7613 11476\n23152 34817\n18540 27893\n4984 7479\n49786 74761\n58734 88165\n253 377\n57859 86836\n8129 12249\n2885 4358\n6863 10325\n80485 100000\n51627 77491\n40979 61552\n1126 1703\n56648 84999\n76229 100000\n85988 100000\n68716 100000\n96950 100000\n70123 100000\n45347 68084\n294 439\n19192 28873\n62410 93674\n41725 62673\n40195 60387\n72846 100000\n21516 32356\n24034 36152\n33068 49746\n52045 78128\n75804 100000\n35030 52661\n83117 100000\n7142 10762\n14989 22563\n38572 57996\n95593 100000\n84348 100000\n11521 17360\n65845 98766\n24560 36936\n78702 100000\n20154 30318\n52978 79524\n86638 100000\n18112 27260\n28685 43106\n94800 100000\n68852 100000\n30439 45741\n7889 11884\n79483 100000\n84681 100000\n46167 69317\n78280 100000\n21579 32453\n19039 28651\n83475 100000\n54929 82440\n14376 21654\n7830 11798\n10405 15679\n32060 48212\n80738 100000\n50400 75666\n59674 89582\n98639 100000\n89857 100000\n94664 100000\n29394 44174\n42233 63428\n42671 64098\n75446 100000\n31830 47865\n31598 47521\n3354 5050\n2030 3062\n28107 42230\n36237 54492\n6979 10505\n97853 100000\n33708 50689\n93501 100000\n48861 73378\n68573 100000\n42764 64234\n15965 23988\n37197 55934\n61828 92802\n35258 53000\n7424 11183\n76630 100000\n30516 45861\n8087 12186\n58935 88470\n93842 100000\n78098 100000\n37833 56886\n2779 4197\n26260 39464\n90498 100000\n37641 56598\n87559 100000\n50282 75492\n47640 71518\n27201 40876\n65610 98414\n44075 66187\n45184 67832\n38517 57917\n26182 39346\n74455 100000\n57996 87050\n28606 42990\n59442 89243\n43662 65573\n6969 10488\n85593 100000\n1249 1880\n13575 20433\n89596 100000\n26595 39954\n11231 16913\n60349 90587\n20753 31230\n22478 33811\n15593 23442\n38081 57243\n85286 100000\n94117 100000\n89480 100000\n94757 100000\n7156 10784\n27713 41652\n68724 100000\n56621 84960\n10536 15870\n18687 28118\n83856 100000\n43078 64689\n76950 100000\n76350 100000\n73162 100000\n89602 100000\n73778 100000\n32614 49064\n36476 54856\n80453 100000\n30843 46358\n12607 18987\n76712 100000\n75020 100000\n44170 66331\n87483 100000\n19162 28828\n10759 16203\n65181 97780\n83659 100000\n59878 89885\n65959 98940\n16971 25522\n83339 100000\n71833 100000\n28463 42766\n48541 72912\n1140 1725\n26569 39917\n88971 100000\n52505 78823\n55583 83427\n40309 60549\n89138 100000\n18053 27168\n11058 16651\n93059 100000\n70301 100000\n44060 66166\n94889 100000\n79896 100000\n17067 25667\n74003 100000\n35534 53414\n86671 100000\n14395 21680\n82343 100000\n15391 23139\n13810 20788\n51307 77020\n67403 100000\n92514 100000\n23025 34622\n47135 70756\n22698 34135\n52271 78473\n92800 100000\n63411 95166\n97942 100000\n36103 54277\n58509 87821\n6331 9506\n18652 28061\n21474 32300\n90800 100000\n93596 100000\n89445 100000\n89357 100000\n23403 35197\n70583 100000\n21499 32333\n34072 51239\n17223 25898\n58277 87473\n28505 42830\n49113 73755\n34895 52471\n94779 100000\n13958 21021\n53466 80242\n82182 100000\n83886 100000\n77222 100000\n79485 100000\n32994 49637\n19827 29818\n71310 100000\n31275 47026\n97345 100000\n23950 36037\n69615 100000\n78707 100000\n98522 100000\n90431 100000\n96479 100000\n51861 77842\n30224 45415\n7779 11729\n60322 90548\n31865 47920\n16356 24591\n65789 98681\n25310 38054\n54165 81300\n90712 100000\n92994 100000\n88094 100000\n5249 7884\n82620 100000\n99019 100000\n32507 48896\n86811 100000\n96056 100000\n35912 53982\n77664 100000\n40126 60283\n16398 24654\n6591 9907\n54804 82256\n37428 56279\n89505 100000\n81462 100000\n9176 13817\n2227 3362\n35772 53774\n83816 100000\n5977 8972\n36739 55242\n82931 100000\n50118 75245\n28952 43510\n39409 59233\n97192 100000\n92754 100000\n90438 100000\n85084 100000\n97736 100000\n40703 61144\n15624 23485\n48566 72950\n53640 80501\n68836 100000\n73646 100000\n74523 100000\n46005 69076\n1022 1549\n95384 100000\n24656 37083\n21053 31675\n76090 100000\n90130 100000\n3352 5046\n60192 90347\n48726 73191\n50254 75454\n52103 78218\n64880 97340\n54558 81888\n15420 23186\n1174 1775\n59178 88835\n28897 43421\n33243 50002\n23200 34886\n53571 80398\n2411 3644\n32974 49606\n41948 63010\n91675 100000\n13459 20266\n48962 73525\n7110 10715\n12346 18606\n28313 42538\n87410 100000\n87250 100000\n29769 44739\n62762 94206\n87090 100000\n29188 43864\n32248 48509\n24673 37109\n41018 61608\n1470 2216\n4183 6277\n58150 87280\n21326 32084\n98612 100000\n60828 91313\n55774 83716\n50145 75286\n23930 36010\n79961 100000\n89487 100000\n55402 83152\n87374 100000\n30747 46217\n83945 100000\n2557 3859\n18682 28109\n41544 62405\n62209 93372\n87086 100000\n26058 39156\n54441 81712\n47171 70810\n69705 100000\n12730 19171\n83596 100000\n152 226\n613 936\n4908 7366\n49104 73741\n43548 65399\n63097 94709\n72773 100000\n53161 79788\n92379 100000\n72299 100000\n83197 100000\n52969 79509\n75697 100000\n10709 16127\n83036 100000\n85891 100000\n65719 98575\n1768 2680\n98741 100000\n49741 74688\n14342 21601\n57259 85936\n88304 100000\n80529 100000\n65730 98590\n30803 46294\n13649 20548\n30503 45840\n73505 100000\n60521 90841\n20267 30493\n51016 76578\n31089 46737\n51205 76861\n35714 53687\n67372 100000\n48409 72709\n12289 18516\n49171 73843\n79623 100000\n37719 56718\n68253 100000\n51654 77532\n31556 47456\n7045 10612\n40404 60691\n28408 42686\n4655 6987\n90331 100000\n82123 100000\n91125 100000\n17023 25595\n92850 100000\n84791 100000\n59851 89844\n35871 53919\n13419 20204\n68250 100000\n69698 100000\n60593 90948\n6196 9299\n51419 77188\n57067 85648\n48495 72847\n6376 9583\n23517 35365\n14698 22129\n36246 54507\n70000 100000\n91872 100000\n36477 54857\n3663 5495\n84295 100000\n17346 26094\n19136 28787\n31409 47230\n89552 100000\n2608 3938\n64663 97017\n1214 1832\n947 1434\n49809 74791\n40261 60480\n80497 100000\n25832 38826\n42756 64221\n13411 20192\n66512 99783\n76628 100000\n47362 71101\n91924 100000\n62603 93970\n58563 87907\n89118 100000\n8983 13532\n39565 59458\n77519 100000\n26719 40144\n42244 63443\n8828 13300\n9267 13961\n56740 85146\n21954 33026\n68590 100000\n37947 57052\n4486 6731\n51855 77833\n70979 100000\n18339 27595\n62328 93549\n64510 96783\n41203 61883\n74288 100000\n32988 49627\n41320 62058\n2756 4162\n79163 100000\n44089 66210\n83831 100000\n7456 11234\n97127 100000\n8507 12824\n10291 15508\n81334 100000\n41426 62224\n12475 18795\n91068 100000\n40196 60388\n85596 100000\n81000 100000\n59134 88768\n89614 100000\n84769 100000\n34777 52290\n64602 96926\n48038 72135\n11928 17986\n71265 100000\n49730 74674\n31445 47288\n46281 69494\n31336 47121\n54575 81911\n45094 67698\n20678 31115\n53855 80831\n57788 86733\n66010 99020\n58287 87489\n19558 29413\n13125 19764\n60307 90522\n82183 100000\n62712 94131\n9688 14591\n47569 71408\n2984 4501\n26298 39519\n40458 60771\n74724 100000\n7371 11105\n39782 59771\n90650 100000\n68152 100000\n58826 88312\n10566 15911\n41360 62120\n78900 100000\n7901 11901\n62624 93997\n76153 100000\n58079 87171\n99775 100000\n11781 17765\n18227 27430\n95332 100000\n53145 79762\n45643 68522\n3977 5974\n10492 15806\n48398 72690\n35020 52647\n34593 52000\n13832 20829\n42674 64102\n27215 40898\n30301 45528\n63890 95867\n60566 90908\n98790 100000\n94883 100000\n31728 47716\n38035 57180\n62974 94520\n57725 86642\n57537 86352\n54153 81282\n30334 45578\n48401 72695\n28310 42533\n56397 84641\n46234 69417\n38047 57197\n10463 15766\n43951 66004\n26222 39408\n63208 94872\n5822 8737\n303 453\n95647 100000\n6122 9191\n69531 100000\n23026 34624\n23639 35557\n31666 47624\n51583 77427\n98638 100000\n78805 100000\n24865 37392\n66096 99153\n86590 100000\n92497 100000\n83536 100000\n83302 100000\n9681 14582\n6667 10025\n84704 100000\n72174 100000\n31907 47980\n73228 100000\n39256 59004\n42886 64409\n12294 18524\n63880 95854\n5453 8191\n17436 26224\n15675 23558\n81470 100000\n56119 84230\n49345 74102\n75574 100000\n54646 82015\n55442 83214\n64073 96139\n42949 64505\n46360 69611\n1462 2203\n49526 74373\n31779 47789\n26633 40010\n36417 54771\n2081 3135\n82146 100000\n32812 49361\n78895 100000\n7216 10871\n46345 69589\n9118 13729\n82268 100000\n61694 92603\n74672 100000\n57529 86340\n34818 52355\n74022 100000\n87384 100000\n25553 38409\n45702 68611\n58866 88367\n75200 100000\n9168 13805\n53192 79833\n79405 100000\n97599 100000\n69 103\n35022 52650\n92486 100000\n88310 100000\n19842 29844\n17298 26013\n8541 12875\n25053 37673\n98733 100000\n58857 88353\n59796 89764\n58203 87355\n73450 100000\n74720 100000\n19125 28773\n23870 35920\n63928 95926\n51398 77159\n5538 8313\n81539 100000\n89563 100000\n57738 86660\n4349 6525\n135 202\n31136 46814\n72134 100000\n50576 75925\n98967 100000\n89345 100000\n76399 100000\n24686 37126\n97146 100000\n79572 100000\n14079 21190\n59270 88977\n55765 83701\n79185 100000\n97927 100000\n14014 21100\n97838 100000\n38094 57263\n52513 78835\n44153 66308\n63076 94679\n76770 100000\n61663 92561\n74120 100000\n20048 30161\n37896 56983\n49175 73848\n71523 100000\n58976 88531\n59698 89618\n15015 22602\n63673 95556\n39301 59070\n47522 71339\n22189 33379\n10315 15544\n40192 60383\n96377 100000\n28479 42787\n92365 100000\n77560 100000\n94940 100000\n71300 100000\n6539 9831\n29485 44308\n26036 39125\n10392 15661\n76238 100000\n20317 30570\n99531 100000\n44178 66343\n90304 100000\n98208 100000\n70406 100000\n95572 100000\n53765 80690\n20151 30313\n7297 10998\n44331 66558\n5796 8695\n43582 65455\n79361 100000\n74236 100000\n45662 68552\n11035 16616\n89289 100000\n34806 52333\n67242 100000\n77487 100000\n90313 100000\n117 173\n42552 63912\n54528 81842\n87116 100000\n14509 21854\n18813 28308\n41818 62815\n70388 100000\n65080 97624\n37339 56148\n55741 83665\n49683 74606\n68469 100000\n51057 76639\n43854 65863\n41051 61656\n77344 100000\n30990 46589\n20387 30676\n37435 56291\n10914 16434\n20078 30205\n29504 44338\n55996 84048\n96381 100000\n33297 50078\n90991 100000\n24026 36140\n32781 49313\n80785 100000\n37859 56926\n30081 45197\n48911 73451\n9521 14343\n81153 100000\n88596 100000\n23213 34906\n28142 42280\n35013 52638\n38033 57177\n13582 20446\n36304 54594\n45576 68427\n58168 87308\n5700 8553\n84581 100000\n16446 24725\n69524 100000\n23553 35420\n50669 76063\n3020 4558\n82066 100000\n72923 100000\n42580 63957\n4019 6037\n43434 65231\n78742 100000\n22939 34495\n32431 48780\n70442 100000\n4469 6704\n849 1288\n75301 100000\n24128 36291\n44132 66274\n44932 67452\n29519 44361\n77368 100000\n67220 100000\n70413 100000\n22535 33891\n12306 18544\n50352 75598\n1678 2538\n46811 70281\n59555 89403\n13120 19757\n37046 55708\n35137 52821\n93029 100000\n57401 86146\n57454 86226\n26225 39412\n11974 18057\n99659 100000\n48120 72262\n25524 38367\n58558 87898\n52882 79374\n72544 100000\n84374 100000\n14380 21659\n8897 13399\n21094 31735\n88833 100000\n13002 19587\n84615 100000\n33067 49744\n70172 100000\n89294 100000\n63260 94950\n5762 8641\n266 400\n53185 79823\n7935 11955\n62634 94011\n75986 100000\n4385 6580\n60061 90157\n80870 100000\n4317 6475\n71212 100000\n21484 32310\n25336 38092\n96102 100000\n76587 100000\n80408 100000\n45219 67883\n17923 26969\n35770 53770\n51080 76677\n38175 57389\n79665 100000\n11047 16632\n26433 39725\n67010 100000\n13350 20106\n95345 100000\n21048 31667\n20627 31037\n30449 45755\n90878 100000\n65002 97508\n95120 100000\n91116 100000\n35623 53545\n42157 63312\n12586 18957\n11146 16785\n11441 17233\n96646 100000\n47593 71441\n71011 100000\n25869 38887\n72197 100000\n50417 75692\n50626 75999\n91144 100000\n69294 100000\n34874 52437\n81747 100000\n71837 100000\n18623 28016\n93200 100000\n16156 24293\n94283 100000\n42943 64495\n53464 80238\n35758 53754\n68698 100000\n69118 100000\n61094 91714\n1370 2066\n46127 69251\n3384 5094\n67438 100000\n36943 55552\n335 504\n78618 100000\n40713 61157\n95886 100000\n24738 37206\n71014 100000\n14925 22469\n43159 64807\n69340 100000\n12203 18387\n50771 76214\n14896 22426\n92901 100000\n74031 100000\n9449 14240\n43445 65249\n94580 100000\n74470 100000\n8782 13227\n37936 57035\n45502 68318\n81289 100000\n13087 19711\n34327 51616\n32633 49095\n72767 100000\n27481 41305\n80525 100000\n80297 100000\n4010 6025\n48322 72579\n24806 37305\n40028 60136\n10133 15260\n37133 55841\n54164 81298\n84582 100000\n3491 5240\n34617 52037\n80730 100000\n17320 26048\n99644 100000\n85887 100000\n52879 79369\n96412 100000\n12222 18413\n85410 100000\n50125 75254\n22362 33633\n47389 71140\n47357 71091\n92367 100000\n37572 56498\n98626 100000\n14065 21171\n39680 59630\n70078 100000\n96058 100000\n59262 88964\n63859 95826\n51056 76637\n54982 82520\n70456 100000\n15880 23868\n65031 97550\n7941 11966\n71606 100000\n90829 100000\n99594 100000\n51786 77730\n26776 40236\n82335 100000\n33280 50055\n89129 100000\n55727 83647\n10339 15582\n69179 100000\n33214 49960\n5864 8801\n48483 72825\n48008 72087\n50677 76074\n20647 31065\n72266 100000\n98222 100000\n48073 72193\n17602 26479\n70557 100000\n67247 100000\n18671 28092\n52929 79447\n24726 37186\n96774 100000\n58583 87937\n33059 49732\n21123 31774\n33368 50180\n50346 75588\n71350 100000\n15500 23303\n41034 61635\n19250 28955\n21240 31954\n35271 53022\n63353 95082\n46178 69333\n48141 72298\n30242 45440\n14889 22416\n66166 99262\n45828 68803\n39385 59201\n66808 100000\n63935 95934\n29150 43804\n13133 19777\n45506 68322\n96291 100000\n7127 10742\n15660 23537\n63511 95310\n90803 100000\n9692 14596\n31394 47209\n39248 58991\n29880 44901\n35596 53510\n36227 54476\n74678 100000\n87273 100000\n37095 55785\n52833 79304\n17927 26976\n55934 83955\n34396 51716\n42992 64568\n54700 82097\n59865 89865\n66140 99223\n76298 100000\n19795 29770\n85587 100000\n24646 37067\n18422 27720\n79773 100000\n33488 50360\n45278 67979\n71515 100000\n95529 100000\n80727 100000\n90657 100000\n10217 15386\n92568 100000\n36831 55377\n78234 100000\n14829 22332\n80127 100000\n99545 100000\n40088 60227\n62524 93841\n34129 51326\n37796 56831\n86780 100000\n69625 100000\n41457 62270\n18514 27858\n76268 100000\n12986 19561\n71866 100000\n9714 14629\n81744 100000\n79635 100000\n58090 87191\n40017 60120\n18622 28014\n29054 43663\n57450 86220\n69941 100000\n4168 6256\n17081 25686\n15860 23838\n26584 39939\n88733 100000\n56834 85295\n56758 85177\n20200 30387\n74627 100000\n55210 82867\n79776 100000\n9770 14714\n1807 2744\n43071 64678\n56199 84351\n45315 68035\n39355 59154\n16477 24768\n38390 57720\n46647 70031\n79798 100000\n89192 100000\n64983 97482\n52253 78441\n87562 100000\n59320 89057\n66554 99846\n39961 60034\n48411 72711\n90184 100000\n24858 37383\n9213 13874\n46470 69779\n27539 41389\n79177 100000\n81368 100000\n98263 100000\n80774 100000\n62237 93416\n98446 100000\n68524 100000\n38312 57603\n32966 49595\n44816 67274\n64103 96179\n8709 13119\n70760 100000\n54317 81541\n42711 64156\n52018 78089\n61156 91803\n22971 34545\n57446 86212\n94309 100000\n18292 27527\n39619 59538\n49814 74797\n21992 33081\n46368 69624\n66485 99741\n21690 32627\n69619 100000\n54258 81444\n67099 100000\n65669 98503\n48455 72780\n50915 76423\n13274 19988\n31656 47610\n38788 58318\n64161 96266\n9018 13584\n78879 100000\n34078 51251\n67184 100000\n3504 5257\n78633 100000\n52373 78630\n90229 100000\n55177 82819\n56151 84276\n1439 2169\n56960 85484\n23393 35182\n26717 40140\n30367 45628\n24514 36867\n58138 87260\n28583 42954\n81907 100000\n21307 32057\n62317 93534\n32827 49384\n33538 50435\n94404 100000\n25091 37731\n8307 12523\n47269 70955\n43713 65644\n10489 15802\n10365 15622\n11618 17513\n40287 60519\n97358 100000\n98186 100000\n54928 82438\n49029 73625\n24818 37319\n66658 100000\n16376 24621\n11770 17751\n74630 100000\n24195 36390\n14271 21484\n8204 12362\n82209 100000\n89743 100000\n82595 100000\n73464 100000\n34320 51604\n4972 7459\n37221 55971\n15125 22765\n138 208\n65125 97693\n66754 100000\n81200 100000\n38720 58213\n68586 100000\n23951 36038\n62161 93301\n40781 61259\n58384 87635\n88137 100000\n49911 74947\n50581 75933\n24638 37055\n182 270\n88725 100000\n20852 31378\n85060 100000\n79722 100000\n84310 100000\n72936 100000\n559 848\n91904 100000\n78720 100000\n50679 76076\n6833 10282\n30857 46379\n4685 7029\n82573 100000\n31329 47110\n3390 5103\n74593 100000\n24352 36620\n98646 100000\n92302 100000\n75450 100000\n25242 37950\n25986 39055\n74262 100000\n18973 28549\n68838 100000\n62180 93327\n14346 21606\n78190 100000\n16942 25477\n95259 100000\n76020 100000\n25588 38461\n22528 33882\n18846 28362\n30299 45525\n83206 100000\n70834 100000\n32456 48821\n18401 27687\n56647 84998\n68952 100000\n12377 18654\n77563 100000\n76123 100000\n53413 80166\n48569 72953\n4560 6840\n49932 74978\n92328 100000\n77154 100000\n44054 66157\n59942 89983\n17345 26092\n46503 69827\n35990 54100\n46469 69778\n66180 99282\n49070 73688\n42864 64379\n73805 100000\n34949 52544\n41039 61642\n33848 50900\n75451 100000\n97616 100000\n29672 44590\n32362 48680\n65611 98415\n75670 100000\n73215 100000\n66991 100000\n41888 62922\n19315 29055\n44902 67402\n59890 89901\n84474 100000\n48796 73283\n6625 9956\n97518 100000\n1997 3013\n77552 100000\n71164 100000\n25982 39049\n13147 19801\n83701 100000\n51590 77435\n31567 47473\n84504 100000\n92405 100000\n55811 83773\n55618 83481\n2865 4326\n18688 28119\n43042 64637\n97411 100000\n95152 100000\n32172 48388\n93886 100000\n45993 69056\n77227 100000\n73388 100000\n24792 37285\n20786 31278\n26663 40055\n16162 24303\n5444 8179\n19763 29719\n27794 41775\n95039 100000\n67462 100000\n5001 7503\n57508 86305\n47117 70730\n95633 100000\n63978 95996\n15589 23434\n35354 53150\n50194 75362\n42387 63661\n97102 100000\n22729 34184\n92156 100000\n96887 100000\n37458 56328\n60552 90885\n88530 100000\n82703 100000\n34108 51294\n73767 100000\n50612 75980\n64433 96666\n91095 100000\n85580 100000\n34574 51970\n33082 49768\n32597 49039\n26819 40302\n25583 38454\n74530 100000\n53745 80658\n62545 93875\n24105 36255\n52229 78408\n47048 70635\n56677 85042\n60932 91471\n38630 58083\n55390 83133\n32839 49401\n77182 100000\n12297 18528\n15794 23730\n85076 100000\n11210 16880\n87451 100000\n36517 54917\n84036 100000\n24305 36551\n32117 48296\n66495 99756\n72305 100000\n16545 24875\n9512 14330\n75132 100000\n7060 10634\n91050 100000\n37132 55839\n68959 100000\n48434 72746\n5734 8604\n94528 100000\n36840 55394\n58813 88290\n29470 44286\n34847 52398\n85471 100000\n64142 96240\n70158 100000\n30103 45231\n77123 100000\n50950 76481\n5233 7862\n57629 86490\n97347 100000\n21438 32250\n17116 25733\n64523 96805\n70198 100000\n69512 100000\n15393 23142\n46799 70263\n83715 100000\n41290 62015\n68036 100000\n99698 100000\n58322 87545\n78797 100000\n62154 93292\n95014 100000\n63644 95512\n94600 100000\n16502 24808\n896 1359\n99014 100000\n4626 6941\n78323 100000\n9719 14637\n45937 68969\n30131 45272\n26134 39274\n33939 51037\n3586 5381\n10424 15712\n69587 100000\n16861 25348\n90341 100000\n51350 77085\n43467 65280\n45653 68537\n46395 69662\n67902 100000\n32535 48940\n97541 100000\n63444 95212\n26586 39942\n32100 48269\n78942 100000\n44584 66924\n21268 31998\n29410 44200\n80706 100000\n70084 100000\n72511 100000\n72158 100000\n97968 100000\n62714 94133\n90287 100000\n36255 54520\n48740 73209\n45669 68561\n62191 93341\n60166 90311\n54867 82345\n51981 78033\n40752 61216\n4042 6075\n38743 58249\n64421 96649\n1246 1877\n96998 100000\n95057 100000\n13058 19667\n63797 95732\n57175 85813\n25980 39046\n53092 79686\n34041 51193\n11672 17597\n77512 100000\n10689 16095\n67176 100000\n72546 100000\n47271 70959\n27015 40593\n87629 100000\n74339 100000\n29238 43942\n80797 100000\n37728 56734\n87954 100000\n9105 13709\n14024 21114\n97415 100000\n9684 14586\n83301 100000\n76841 100000\n29214 43908\n3648 5469\n6256 9389\n23762 35749\n63763 95683\n37615 56557\n37703 56692\n12630 19022\n87161 100000\n12498 18827\n65441 98161\n37216 55963\n76335 100000\n96031 100000\n25384 38164\n99620 100000\n65248 97882\n74144 100000\n14756 22220\n86756 100000\n65057 97590\n53379 80114\n79246 100000\n660 1002\n80298 100000\n5138 7711\n80598 100000\n7915 11926\n10656 16047\n78527 100000\n40162 60339\n88212 100000\n99444 100000\n24573 36954\n41255 61963\n36780 55303\n77672 100000\n63684 95572\n29825 44814\n8705 13114\n27792 41773\n30763 46241\n33484 50354\n60599 90958\n39081 58757\n99087 100000\n12743 19195\n12538 18886\n42661 64081\n19457 29263\n22624 34029\n14488 21818\n46371 69628\n46431 69716\n54493 81789\n6816 10256\n73733 100000\n43733 65677\n30255 45461\n71560 100000\n80214 100000\n92423 100000\n67923 100000\n11755 17730\n91622 100000\n60264 90459\n4058 6098\n60234 90410\n20820 31332\n75835 100000\n22684 34117\n85893 100000\n71276 100000\n34204 51438\n91520 100000\n95834 100000\n95007 100000\n21354 32120\n69286 100000\n73738 100000\n85829 100000\n97580 100000\n63442 95210\n72697 100000\n78370 100000\n38293 57573\n61397 92154\n38489 57873\n66240 99374\n32267 48541\n34832 52376\n21614 32509\n69894 100000\n14571 21939\n29353 44113\n61720 92640\n84723 100000\n22757 34227\n34511 51881\n21407 32200\n89474 100000\n28314 42539\n99058 100000\n72310 100000\n11341 17078\n37929 57026\n65187 97790\n30327 45568\n41362 62124\n90100 100000\n33521 50411\n37158 55876\n30510 45852\n86729 100000\n40631 61036\n94223 100000\n5927 8900\n75650 100000\n8049 12127\n62430 93704\n21014 31619\n25343 38101\n75639 100000\n9158 13789\n57293 85987\n75814 100000\n74008 100000\n4512 6769\n50661 76050\n29795 44775\n21758 32728\n71745 100000\n33428 50272\n50641 76018\n1527 2308\n43323 65064\n87999 100000\n91256 100000\n51361 77101\n48161 72331\n27559 41416\n22785 34265\n73668 100000\n453 682\n73031 100000\n6988 10521\n16046 24124\n24175 36362\n85658 100000\n66717 100000\n58119 87233\n53040 79610\n12642 19038\n42298 63527\n33743 50742\n4435 6654\n53120 79726\n233 346\n54172 81311\n76908 100000\n79019 100000\n2931 4424\n55417 83173\n60508 90823\n19374 29141\n96568 100000\n65900 98850\n98281 100000\n95860 100000\n3149 4750\n6398 9617\n35180 52884\n85966 100000\n45536 68366\n38552 57969\n2354 3561\n37595 56528\n82149 100000\n97068 100000\n84151 100000\n72676 100000\n49572 74442\n41899 62938\n70685 100000\n75548 100000\n92172 100000\n74174 100000\n74019 100000\n99008 100000\n27934 41978\n10628 16005\n41094 61724\n53487 80275\n35303 53071\n68359 100000\n58634 88009\n6419 9652\n75248 100000\n65443 98164\n42 61\n54460 81740\n75904 100000\n44379 66626\n53652 80517\n89896 100000\n26276 39487\n42430 63724\n46506 69831\n30220 45411\n44841 67308\n51715 77625\n70404 100000\n97350 100000\n22270 33500\n46623 69994\n48310 72560\n43795 65771\n38230 57478\n5811 8721\n20328 30586\n93407 100000\n6500 9773\n86848 100000\n93576 100000\n74952 100000\n28094 42209\n86661 100000\n70709 100000\n35386 53192\n86855 100000\n1331 2007\n25433 38241\n78255 100000\n63160 94802\n28045 42138\n47487 71290\n4886 7332\n33983 51105\n21920 32976\n48563 72947\n49840 74836\n13883 20905\n36882 55461\n2444 3695\n43020 64607\n97855 100000\n58283 87482\n83570 100000\n95578 100000\n57575 86409\n55872 83861\n72444 100000\n38514 57911\n85653 100000\n49534 74385\n27996 42069\n27322 41060\n19352 29106\n76514 100000\n8372 12624\n66976 100000\n89766 100000\n29090 43717\n77530 100000\n62198 93352\n62876 94380\n70223 100000\n43447 65252\n70151 100000\n40275 60501\n6937 10436\n82509 100000\n36655 55122\n78083 100000\n40173 60357\n93704 100000\n33498 50370\n44729 67137\n33578 50495\n44368 66611\n67766 100000\n98981 100000\n42146 63294\n98183 100000\n92344 100000\n42429 63722\n66272 99425\n43859 65871\n74071 100000\n27715 41655\n7103 10703\n59999 90067\n10170 15317\n1116 1688\n40301 60536\n81421 100000\n75296 100000\n97831 100000\n16265 24457\n67054 100000\n25144 37807\n40717 61163\n20257 30477\n57210 85869\n68247 100000\n83511 100000\n64177 96291\n40339 60595\n93417 100000\n47366 71105\n87142 100000\n80171 100000\n23732 35704\n2901 4382\n89439 100000\n1301 1963\n7204 10855\n98753 100000\n12765 19227\n43885 65906\n97762 100000\n10368 15627\n38165 57376\n38296 57577\n74744 100000\n49086 73714\n80249 100000\n39470 59323\n11885 17921\n56914 85413\n87149 100000\n99206 100000\n52550 78890\n44925 67441\n70124 100000\n33269 50040\n78784 100000\n73357 100000\n96826 100000\n83141 100000\n93183 100000\n1594 2409\n18548 27903\n97390 100000\n40926 61476\n49778 74748\n56630 84975\n60809 91285\n28382 42646\n19510 29343\n83379 100000\n55708 83618\n37761 56779\n29894 44921\n33564 50474\n87447 100000\n62815 94292\n42462 63776\n28658 43067\n76891 100000\n41838 62844\n60702 91118\n75583 100000\n21247 31966\n18063 27184\n67357 100000\n71727 100000\n59576 89433\n86601 100000\n55344 83066\n34011 51151\n16838 25311\n546 831\n41584 62462\n17951 27011\n54424 81688\n33224 49975\n75955 100000\n6013 9023\n40428 60725\n16813 25276\n64676 97036\n76569 100000\n91411 100000\n90195 100000\n49851 74854\n41002 61584\n32572 48999\n28073 42180\n74056 100000\n22098 33244\n87298 100000\n12760 19220\n53247 79913\n49096 73727\n77621 100000\n40482 60808\n34610 52027\n99910 100000\n33962 51073\n53873 80861\n6795 10223\n18372 27646\n17572 26432\n23283 35007\n4848 7280\n5248 7883\n64063 96122\n81974 100000\n23441 35250\n23130 34784\n88421 100000\n18812 28307\n91707 100000\n89792 100000\n83896 100000\n62052 93138\n4775 7165\n16877 25371\n144 215\n21479 32305\n27141 40787\n97376 100000\n66466 99716\n7945 11972\n96731 100000\n78573 100000\n69283 100000\n15930 23939\n75159 100000\n97779 100000\n74315 100000\n53299 79991\n38405 57746\n67608 100000\n44494 66787\n57718 86631\n57282 85969\n51141 76766\n41798 62784\n80036 100000\n85979 100000\n62975 94522\n14934 22479\n12654 19058\n82714 100000\n55215 82873\n25582 38453\n15881 23870\n39812 59816\n57059 85635\n85350 100000\n35385 53191\n92016 100000\n76936 100000\n29306 44044\n21031 31640\n69954 100000\n64294 96463\n76302 100000\n31273 47023\n56517 84810\n23083 34712\n26987 40545\n27462 41277\n36679 55158\n29156 43816\n59875 89879\n23077 34702\n50082 75197\n53993 81038\n81204 100000\n48747 73218\n21677 32607\n73594 100000\n30777 46260\n21282 32019\n78074 100000\n9489 14298\n75232 100000\n70966 100000\n24209 36412\n8763 13198\n56420 84672\n3550 5326\n69080 100000\n6902 10386\n85806 100000\n84608 100000\n88689 100000\n13142 19791\n4181 6274\n96668 100000\n98477 100000\n1431 2157\n68154 100000\n80771 100000\n42907 64441\n57232 85899\n38259 57520\n74549 100000\n47273 70962\n84674 100000\n31132 46806\n5692 8541\n94259 100000\n40114 60264\n67813 100000\n88412 100000\n39107 58792\n30845 46361\n76799 100000\n33637 50583\n61416 92184\n92041 100000\n32909 49506\n64633 96969\n82532 100000\n98830 100000\n40516 60853\n4307 6462\n86673 100000\n53710 80605\n41962 63030\n42124 63261\n34433 51770\n28276 42482\n35901 53966\n21431 32240\n54184 81329\n22289 33534\n95812 100000\n39099 58781\n27328 41070\n93415 100000\n69152 100000\n62493 93791\n45498 68313\n99984 100000\n57257 85934\n70936 100000\n76981 100000\n54390 81637\n27707 41642\n51513 77322\n97627 100000\n35562 53457\n26476 39785\n96429 100000\n25711 38650\n58988 88549\n61870 92867\n19314 29054\n70606 100000\n87344 100000\n54767 82201\n12112 18264\n97706 100000\n34984 52597\n66936 100000\n9971 15011\n15732 23637\n57538 86354\n89652 100000\n41970 63042\n34938 52529\n30722 46182\n99037 100000\n71951 100000\n39767 59751\n70716 100000\n57042 85610\n14051 21153\n95846 100000\n67027 100000\n93257 100000\n11162 16808\n22170 33350\n88250 100000\n97426 100000\n41509 62355\n25658 38571\n49405 74190\n71054 100000\n96296 100000\n62348 93577\n42817 64308\n28851 43359\n23501 35341\n15219 22896\n8199 12355\n75823 100000\n77669 100000\n32626 49084\n31088 46735\n14719 22161\n79447 100000\n82959 100000\n87195 100000\n78933 100000\n92507 100000\n61058 91661\n30074 45187\n62908 94428\n30384 45657\n37545 56457\n41275 61991\n50399 75665\n55222 82883\n52475 78777\n62402 93664\n18244 27452\n98192 100000\n38491 57876\n15373 23115\n52641 79024\n33553 50459\n65821 98731\n31951 48045\n30837 46350\n7248 10919\n58986 88546\n76777 100000\n80613 100000\n24941 37502\n23859 35900\n83413 100000\n26432 39724\n36392 54732\n31031 46653\n52935 79457\n18135 27293\n13317 20055\n37613 56555\n41858 62876\n7639 11516\n66382 99589\n68061 100000\n18169 27341\n736 1121\n1264 1904\n36769 55288\n95657 100000\n3206 4839\n83977 100000\n72817 100000\n57897 86896\n36049 54195\n72045 100000\n45337 68069\n56422 84675\n64271 96431\n61414 92182\n91523 100000\n64192 96313\n95075 100000\n86304 100000\n77137 100000\n71109 100000\n38496 57884\n9748 14680\n1290 1946\n45024 67597\n26966 40517\n15113 22750\n19678 29591\n16349 24580\n30890 46428\n68336 100000\n42516 63858\n85200 100000\n96115 100000\n63690 95580\n24970 37544\n79897 100000\n75587 100000\n86878 100000\n81618 100000\n16352 24585\n55563 83400\n31463 47314\n62614 93984\n4982 7475\n80338 100000\n51565 77399\n6852 10310\n92865 100000\n15676 23559\n19628 29514\n65877 98815\n63883 95858\n57709 86615\n64874 97333\n47979 72045\n22946 34504\n86517 100000\n88234 100000\n33322 50116\n16144 24273\n46323 69554\n96845 100000\n6895 10373\n1774 2691\n75981 100000\n49882 74905\n30135 45278\n67023 100000\n63669 95551\n12814 19299\n75591 100000\n78344 100000\n19161 28826\n42626 64031\n87267 100000\n3224 4864\n66245 99384\n28823 43318\n57488 86277\n79763 100000\n91935 100000\n34415 51743\n46336 69575\n59280 88995\n39643 59576\n66161 99256\n5568 8355\n14311 21551\n67089 100000\n8107 12216\n47377 71123\n11128 16757\n8781 13225\n89389 100000\n3118 4706\n85700 100000\n5220 7843\n28813 43300\n71602 100000\n83775 100000\n12074 18207\n16224 24396\n7724 11644\n41797 62782\n2594 3914\n87241 100000\n95619 100000\n38534 57944\n53704 80597\n1266 1908\n70655 100000\n12862 19373\n74184 100000\n16455 24739\n87145 100000\n34764 52270\n62559 93898\n4810 7217\n64597 96918\n99132 100000\n42725 64177\n15224 22904\n91499 100000\n5207 7823\n45210 67870\n93945 100000\n58512 87826\n66610 99927\n76577 100000\n16670 25067\n45179 67825\n46363 69615\n67369 100000\n1569 2370\n35124 52798\n27776 41748\n55201 82853\n67933 100000\n85919 100000\n11793 17785\n39270 59024\n2368 3579\n40165 60344\n72540 100000\n44507 66805\n29644 44549\n89519 100000\n85412 100000\n75560 100000\n52790 79238\n23036 34638\n23238 34943\n74717 100000\n53920 80931\n38518 57918\n60412 90679\n4870 7310\n29834 44828\n58005 87063\n19296 29023\n64149 96249\n81446 100000\n42360 63622\n15949 23966\n19367 29131\n39006 58650\n78233 100000\n95703 100000\n73826 100000\n80965 100000\n38284 57559\n91809 100000\n64317 96496\n894 1357\n96321 100000\n31448 47293\n22374 33650\n28902 43430\n11988 18077\n57864 86843\n17921 26966\n47993 72064\n74796 100000\n47103 70709\n15077 22699\n62151 93288\n98963 100000\n55662 83543\n17841 26841\n22290 33536\n14153 21301\n79317 100000\n82599 100000\n84205 100000\n9567 14409\n31398 47214\n54602 81951\n5755 8634\n83291 100000\n61520 92346\n78739 100000\n81461 100000\n34042 51195\n23979 36074\n74340 100000\n24211 36415\n60957 91510\n66545 99831\n48299 72543\n90455 100000\n34569 51963\n59598 89463\n97167 100000\n85730 100000\n78252 100000\n87526 100000\n82600 100000\n4198 6301\n26620 39990\n38257 57517\n93292 100000\n83598 100000\n64355 96550\n69998 100000\n21571 32438\n66018 99031\n62046 93128\n28079 42187\n90136 100000\n19067 28693\n14083 21195\n38933 58535\n68181 100000\n99237 100000\n9450 14241\n74401 100000\n41318 62056\n35499 53358\n13254 19956\n730 1114\n58339 87572\n26252 39451\n89932 100000\n21447 32262\n99591 100000\n91195 100000\n61865 92859\n58704 88118\n3427 5154\n95274 100000\n78479 100000\n8043 12119\n2546 3842\n4915 7377\n9375 14131\n76522 100000\n48097 72229\n94934 100000\n13480 20294\n27815 41806\n6893 10370\n37446 56310\n66094 99150\n52691 79102\n22580 33962\n26624 39997\n2297 3470\n1213 1831\n94798 100000\n29452 44261\n34178 51400\n83989 100000\n82070 100000\n32546 48956\n31761 47763\n9273 13970\n86916 100000\n98070 100000\n71405 100000\n21737 32697\n43417 65205\n98439 100000\n23404 35198\n2331 3522\n68401 100000\n30898 46440\n26299 39521\n51360 77099\n14086 21198\n51739 77662\n99818 100000\n33424 50268\n75196 100000\n53797 80744\n64970 97466\n38359 57674\n27720 41662\n24113 36267\n52891 79387\n23369 35144\n5654 8484\n61599 92458\n22760 34231\n1946 2939\n50908 76412\n40296 60531\n21549 32400\n4719 7080\n80495 100000\n17363 26119\n79104 100000\n12718 19152\n30656 46074\n83910 100000\n70233 100000\n38851 58415\n37442 56303\n80607 100000\n6497 9770\n16332 24556\n50446 75736\n44671 67055\n78775 100000\n50098 75217\n90934 100000\n33156 49877\n64085 96158\n2846 4299\n26585 39940\n37 53\n61223 91905\n28247 42438\n60642 91028\n20055 30171\n97922 100000\n87189 100000\n45458 68254\n92348 100000\n46983 70536\n7066 10642\n84995 100000\n63002 94568\n22298 33548\n47354 71086\n43352 65110\n21077 31708\n84091 100000\n65916 98871\n24177 36364\n68817 100000\n7738 11667\n75916 100000\n2582 3896\n84297 100000\n19929 29971\n85542 100000\n598 910\n18616 28005\n70065 100000\n2882 4353\n31391 47204\n43856 65865\n45706 68617\n65664 98497\n3660 5491\n34417 51745\n38841 58399\n87296 100000\n26879 40393\n51869 77857\n61585 92438\n26430 39721\n41401 62183\n63295 94996\n90349 100000\n83905 100000\n98088 100000\n85694 100000\n92809 100000\n40896 61431\n73850 100000\n2436 3682\n38042 57189\n83034 100000\n70624 100000\n69669 100000\n56494 84777\n35245 52979\n44798 67244\n58157 87289\n36795 55325\n78148 100000\n58156 87288\n96204 100000\n1274 1921\n44057 66162\n35181 52886\n35615 53535\n28117 42246\n68933 100000\n17056 25650\n37769 56794\n32876 49459\n14579 21953\n57050 85620\n96161 100000\n77920 100000\n60944 91490\n67291 100000\n14216 21404\n45492 68305\n17293 26006\n43311 65045\n67305 100000\n86753 100000\n17395 26167\n65083 97628\n4807 7212\n30844 46359\n72775 100000\n78467 100000\n26221 39407\n45833 68812\n49681 74603\n85332 100000\n42034 63132\n22699 34136\n79619 100000\n91787 100000\n50500 75812\n39372 59181\n22506 33852\n93442 100000\n53143 79760\n51033 76601\n96899 100000\n38260 57522\n45387 68147\n57987 87033\n88305 100000\n38897 58479\n94974 100000\n85443 100000\n81059 100000\n79292 100000\n92915 100000\n60391 90649\n2351 3556\n37303 56096\n23914 35987\n2735 4133\n56219 84383\n86596 100000\n78915 100000\n11890 17930\n38358 57673\n17015 25583\n29356 44117\n44412 66670\n11424 17207\n79390 100000\n98737 100000\n92803 100000\n18420 27716\n41202 61882\n14494 21828\n79910 100000\n20028 30130\n43121 64751\n99898 100000\n93498 100000\n31516 47392\n13003 19589\n21500 32334\n41377 62147\n4624 6938\n79594 100000\n34000 51134\n19117 28759\n5850 8779\n86163 100000\n80854 100000\n71126 100000\n47664 71556\n65543 98315\n69728 100000\n20983 31575\n86956 100000\n25996 39070\n59719 89652\n86786 100000\n89738 100000\n18123 27277\n61590 92444\n49610 74503\n85257 100000\n63155 94794\n75909 100000\n392 586\n72619 100000\n30020 45107\n11356 17100\n23587 35478\n533 809\n49018 73608\n13979 21050\n79540 100000\n43103 64724\n97188 100000\n56182 84324\n17014 25581\n21195 31886\n10574 15923\n78386 100000\n19835 29831\n9828 14791\n743 1130\n45528 68354\n61366 92111\n4888 7335\n62483 93779\n79045 100000\n69244 100000\n54619 81977\n56533 84835\n95352 100000\n62662 94055\n55654 83530\n33673 50636\n76724 100000\n31594 47515\n42898 64428\n46568 69920\n60361 90606\n54331 81559\n84721 100000\n27811 41800\n25418 38217\n96119 100000\n32569 48994\n66003 99010\n34976 52584\n3609 5413\n3185 4805\n60341 90575\n43797 65774\n41036 61638\n85566 100000\n10710 16128\n59690 89604\n88275 100000\n3750 5626\n89674 100000\n14432 21735\n31367 47164\n48828 73331\n20494 30841\n31425 47255\n7437 11202\n18424 27724\n82429 100000\n29035 43633\n95060 100000\n87461 100000\n94206 100000\n37273 56050\n70282 100000\n68915 100000\n53322 80026\n94216 100000\n46280 69492\n60784 91241\n47568 71407\n60459 90748\n62752 94191\n46010 69083\n21764 32739\n2067 3115\n4083 6132\n14662 22080\n30107 45237\n2968 4477\n11649 17561\n29401 44185\n5335 8022\n38501 57890\n58046 87119\n35375 53178\n52392 78658\n94060 100000\n71957 100000\n94069 100000\n27029 40615\n89557 100000\n56667 85028\n64654 97004\n88337 100000\n14431 21733\n91806 100000\n35552 53442\n35655 53593\n65194 97800\n52190 78347\n51938 77965\n29099 43729\n23617 35521\n52536 78872\n99398 100000\n93893 100000\n58502 87811\n94694 100000\n33722 50712\n33529 50421\n83270 100000\n37837 56892\n64522 96803\n14862 22378\n87302 100000\n13994 21073\n86323 100000\n47208 70865\n36100 54274\n68173 100000\n89976 100000\n19643 29535\n39084 58761\n46254 69450\n6924 10417\n96263 100000\n68547 100000\n86857 100000\n56459 84725\n17308 26029\n91426 100000\n32897 49487\n31382 47189\n67753 100000\n2822 4260\n60742 91177\n62708 94126\n21018 31624\n64260 96413\n48961 73524\n81811 100000\n77819 100000\n68816 100000\n16694 25102\n10525 15855\n82554 100000\n33022 49677\n4947 7425\n63367 95100\n21238 31950\n95339 100000\n15643 23512\n20594 30991\n95252 100000\n49955 75013\n57542 86359\n88445 100000\n14162 21315\n58477 87775\n19836 29833\n64506 96775\n82100 100000\n45673 68566\n2642 3993\n49963 75025\n87628 100000\n51944 77973\n33567 50479\n98025 100000\n61856 92844\n93617 100000\n33863 50921\n82537 100000\n97583 100000\n82365 100000\n95803 100000\n34905 52485\n97956 100000\n63180 94832\n31424 47253\n23437 35244\n58696 88107\n53395 80138\n16401 24657\n98930 100000\n47534 71356\n75549 100000\n68208 100000\n7891 11888\n48215 72411\n97997 100000\n509 770\n1205 1820\n77764 100000\n34098 51278\n28895 43418\n46066 69162\n80975 100000\n10884 16390\n37309 56104\n73907 100000\n65588 98379\n56217 84380\n84070 100000\n7256 10933\n45018 67588\n63082 94688\n39985 60072\n35511 53377\n94 140\n31197 46906\n31648 47596\n68818 100000\n40658 61078\n51509 77316\n56723 85117\n94992 100000\n70846 100000\n44464 66747\n200 295\n53316 80017\n176 261\n41239 61937\n1020 1546\n96564 100000\n49499 74332\n6560 9860\n4273 6411\n57198 85848\n35962 54054\n24836 37348\n96982 100000\n86669 100000\n79233 100000\n3359 5058\n11219 16894\n55773 83714\n60817 91298\n62458 93745\n67244 100000\n31796 47815\n23771 35763\n39392 59211\n11145 16784\n95441 100000\n29309 44049\n8319 12538\n56956 85478\n96674 100000\n43595 65473\n18850 28368\n757 1148\n60807 91282\n5352 8044\n29501 44333\n73030 100000\n96232 100000\n20364 30644\n20903 31457\n84874 100000\n14319 21566\n89903 100000\n92540 100000\n32008 48132\n13794 20765\n11525 17367\n95815 100000\n36618 55065\n58285 87486\n79505 100000\n32413 48753\n84912 100000\n96853 100000\n39288 59051\n66457 99702\n5843 8770\n52205 78372\n89814 100000\n29523 44367\n62530 93851\n13902 20933\n82402 100000\n72173 100000\n21181 31865\n14789 22270\n55962 83999\n8796 13250\n35401 53213\n23972 36064\n95397 100000\n61258 91957\n19861 29873\n20608 31008\n7167 10801\n86974 100000\n4170 6259\n39838 59855\n48847 73359\n22397 33685\n59684 89596\n31805 47828\n85820 100000\n68910 100000\n68422 100000\n28217 42389\n30282 45502\n84996 100000\n71925 100000\n63555 95383\n10251 15441\n64847 97292\n7658 11545\n21025 31633\n87986 100000\n42335 63586\n55067 82642\n80200 100000\n39265 59015\n32415 48757\n83254 100000\n11298 17012\n8109 12218\n30171 45337\n7078 10663\n46387 69652\n33882 50951\n81428 100000\n93126 100000\n52822 79286\n71849 100000\n83253 100000\n94993 100000\n53222 79877\n71102 100000\n1177 1778\n84660 100000\n31683 47648\n38753 58267\n2372 3586\n52510 78831\n317 474\n92921 100000\n42333 63583\n89656 100000\n11025 16601\n40534 60879\n89640 100000\n20674 31108\n74202 100000\n4009 6024\n51407 77172\n72612 100000\n92035 100000\n57212 85871\n90417 100000\n385 575\n78570 100000\n51421 77191\n58066 87152\n27604 41485\n53949 80972\n85228 100000\n69583 100000\n23353 35119\n15028 22622\n21177 31858\n29872 44889\n69123 100000\n13423 20211\n66016 99027\n2001 3019\n1937 2926\n25377 38153\n45451 68242\n11874 17906\n38746 58255\n26235 39426\n52737 79164\n1361 2051\n4850 7283\n86261 100000\n18867 28392\n43574 65440\n3225 4866\n16708 25123\n47890 71898\n96825 100000\n71131 100000\n49221 73917\n33033 49691\n52128 78255\n51799 77749\n11658 17576\n30330 45573\n77763 100000\n94362 100000\n46353 69598\n53298 79989\n10124 15248\n77399 100000\n56816 85266\n15780 23711\n62379 93625\n93141 100000\n49195 73879\n91441 100000\n78616 100000\n56157 84285\n34095 51273\n30811 46306\n80344 100000\n4188 6284\n40385 60663\n42716 64164\n18784 28266\n49178 73853\n87719 100000\n89841 100000\n92177 100000\n40854 61367\n72440 100000\n70141 100000\n92266 100000\n35453 53294\n24940 37500\n61952 92990\n40117 60269\n46322 69552\n29527 44372\n35909 53978\n44828 67290\n32630 49090\n20523 30885\n65887 98831\n21763 32737\n3100 4678\n19233 28930\n70932 100000\n740 1127\n49286 74015\n10858 16347\n75170 100000\n92851 100000\n84035 100000\n25056 37677\n38594 58028\n66781 100000\n49260 73979\n94355 100000\n74634 100000\n38757 58273\n86063 100000\n70321 100000\n63726 95628\n7561 11397\n1211 1827\n17491 26305\n63789 95722\n26915 40445\n11592 17471\n4474 6712\n22731 34187\n30427 45721\n52646 79031\n51309 77023\n60375 90625\n69084 100000\n34502 51868\n8159 12293\n12035 18148\n930 1412\n88809 100000\n32186 48410\n22552 33917\n29658 44569\n38948 58559\n99773 100000\n43017 64604\n85426 100000\n87916 100000\n79106 100000\n63706 95603\n4598 6900\n93214 100000\n84084 100000\n99142 100000\n81358 100000\n82755 100000\n40693 61130\n35660 53601\n49576 74450\n55132 82750\n24149 36324\n42760 64227\n26740 40178\n60917 91449\n51299 77005\n2598 3921\n17575 26436\n26161 39317\n35098 52764\n37789 56820\n94082 100000\n22896 34435\n13811 20790\n4537 6807\n31326 47105\n80139 100000\n90969 100000\n27668 41584\n68064 100000\n85886 100000\n60188 90340\n39785 59775\n98535 100000\n72907 100000\n75031 100000\n88151 100000\n49034 73634\n78263 100000\n40291 60525\n39857 59879\n87886 100000\n47635 71511\n90147 100000\n74824 100000\n6664 10020\n27024 40609\n68848 100000\n51954 77987\n43746 65699\n68001 100000\n32444 48800\n88617 100000\n86768 100000\n1121 1696\n5945 8928\n89518 100000\n65578 98365\n95663 100000\n99038 100000\n62647 94032\n49044 73649\n4623 6937\n80219 100000\n91300 100000\n60383 90639\n71413 100000\n58561 87903\n88569 100000\n61731 92655\n11297 17011\n64935 97414\n43659 65567\n84018 100000\n7124 10736\n3246 4894\n55102 82699\n45733 68659\n95272 100000\n96430 100000\n49403 74187\n22319 33574\n47376 71121\n33526 50418\n99090 100000\n98769 100000\n95003 100000\n28993 43573\n35969 54065\n25317 38063\n47102 70707\n22323 33581\n16901 25411\n97609 100000\n33590 50512\n83917 100000\n91750 100000\n46326 69559\n87832 100000\n76417 100000\n90228 100000\n28450 42747\n10342 15587\n82360 100000\n39405 59229\n66441 99677\n23512 35356\n39335 59127\n80747 100000\n65942 98914\n20826 31340\n70841 100000\n9452 14244\n36965 55586\n93162 100000\n32585 49020\n48150 72313\n2012 3037\n18359 27626\n34546 51930\n51736 77656\n92496 100000\n27067 40676\n48560 72943\n71729 100000\n14828 22331\n13063 19674\n16556 24891\n38464 57837\n95889 100000\n72882 100000\n73236 100000\n38726 58223\n54187 81334\n15250 22943\n76636 100000\n25149 37815\n79742 100000\n30677 46112\n92980 100000\n23331 35084\n26032 39119\n4396 6598\n77738 100000\n58977 88532\n72096 100000\n23287 35014\n83959 100000\n63359 95091\n26 35\n85109 100000\n98943 100000\n14722 22165\n97250 100000\n10503 15822\n73718 100000\n47105 70711\n39391 59209\n58200 87350\n73846 100000\n87792 100000\n73468 100000\n26858 40362\n66865 100000\n68072 100000\n94296 100000\n2944 4443\n90995 100000\n44938 67461\n83788 100000\n63630 95492\n78329 100000\n54403 81655\n7513 11324\n75830 100000\n4439 6659\n97005 100000\n20432 30745\n83646 100000\n5140 7715\n46376 69635\n45067 67660\n74020 100000\n26626 40000\n74703 100000\n98904 100000\n93328 100000\n36992 55630\n50434 75718\n7496 11297\n40141 60305\n2537 3830\n45030 67606\n4148 6225\n55364 83097\n45470 68273\n99216 100000\n69192 100000\n54693 82087\n39442 59282\n85368 100000\n86659 100000\n58942 88482\n39683 59634\n82264 100000\n74606 100000\n7083 10672\n88459 100000\n27970 42035\n76072 100000\n57327 86036\n72872 100000\n94488 100000\n91299 100000\n13328 20071\n94061 100000\n34456 51805\n68771 100000\n47655 71542\n74815 100000\n55391 83135\n43396 65173\n64217 96347\n23809 35823\n44027 66115\n78826 100000\n94369 100000\n39803 59802\n37734 56744\n52053 78142\n54240 81413\n12189 18369\n59457 89264\n379 565\n59231 88917\n59617 89492\n78878 100000\n81601 100000\n62913 94436\n91289 100000\n89862 100000\n9966 15003\n63351 95079\n30735 46201\n4415 6626\n52545 78884\n42667 64090\n51116 76728\n56018 84085\n63640 95506\n56761 85183\n49706 74635\n81410 100000\n11998 18090\n37160 55878\n68483 100000\n68777 100000\n85365 100000\n31185 46888\n96968 100000\n54533 81849\n55219 82879\n68728 100000\n91117 100000\n96652 100000\n21583 32460\n73333 100000\n17684 26602\n6606 9928\n12578 18946\n50776 76221\n62254 93442\n39071 58741\n84502 100000\n73085 100000\n43914 65947\n71451 100000\n10643 16027\n90655 100000\n72631 100000\n21251 31972\n60644 91031\n29532 44381\n94752 100000\n42217 63401\n3914 5875\n52839 79313\n78156 100000\n73196 100000\n11083 16684\n33058 49730\n67795 100000\n71610 100000\n92804 100000\n95208 100000\n56893 85383\n16061 24144\n47650 71535\n13564 20417\n55505 83311\n28294 42508\n76890 100000\n61628 92501\n6346 9530\n92184 100000\n19958 30020\n23032 34630\n7622 11489\n69517 100000\n63477 95261\n58434 87710\n20080 30209\n7714 11628\n93961 100000\n96837 100000\n72322 100000\n61087 91704\n74047 100000\n26213 39394\n81346 100000\n84677 100000\n28424 42707\n86580 100000\n43331 65076\n20499 30848\n42142 63286\n44755 67180\n20636 31050\n75435 100000\n15192 22854\n82410 100000\n32143 48338\n36998 55639\n1830 2776\n30004 45081\n5727 8592\n16230 24405\n74026 100000\n47828 71801\n88623 100000\n61547 92385\n57595 86441\n29911 44948\n47712 71631\n13139 19786\n685 1043\n14594 21975\n36263 54532\n50756 76190\n79077 100000\n99738 100000\n70135 100000\n70391 100000\n83083 100000\n65132 97704\n45890 68900\n29088 43714\n49976 75042\n50710 76122\n35652 53590\n52151 78288\n82359 100000\n74294 100000\n47631 71503\n7100 10698\n99356 100000\n46774 70225\n48651 73070\n95811 100000\n29938 44986\n38306 57595\n95305 100000\n46098 69210\n230 341\n22840 34349\n79680 100000\n59495 89318\n70635 100000\n16955 25496\n45516 68334\n12156 18323\n61059 91663\n31177 46876\n19778 29742\n84884 100000\n16482 24777\n65311 97973\n78760 100000\n68317 100000\n53138 79752\n11511 17346\n11540 17388\n42494 63824\n93852 100000\n33288 50065\n99948 100000\n42422 63710\n65992 98991\n16380 24628\n93868 100000\n56183 84326\n89125 100000\n94360 100000\n54498 81796\n27763 41727\n72796 100000\n69351 100000\n51816 77775\n67616 100000\n67661 100000\n33522 50413\n77986 100000\n33957 51064\n42188 63357\n8861 13342\n23888 35947\n75784 100000\n74285 100000\n11651 17564\n75122 100000\n39582 59483\n88837 100000\n5073 7616\n81679 100000\n227 337\n4567 6851\n85489 100000\n51577 77418\n66870 100000\n40630 61035\n62957 94495\n23314 35057\n89662 100000\n36961 55580\n23941 36027\n70230 100000\n95366 100000\n80602 100000\n67865 100000\n40881 61409\n65974 98962\n21283 32021\n42789 64270\n98915 100000\n81903 100000\n89545 100000\n39065 58730\n21749 32717\n70916 100000\n32837 49398\n62032 93109\n27717 41657\n61423 92196\n76124 100000\n60959 91514\n87635 100000\n63634 95497\n8689 13091\n25244 37953\n32122 48304\n23244 34950\n16246 24431\n99003 100000\n67944 100000\n70115 100000\n93133 100000\n69277 100000\n19969 30037\n64504 96773\n27499 41326\n41384 62156\n36269 54543\n46804 70271\n26454 39752\n99071 100000\n34495 51859\n34386 51704\n26600 39962\n89819 100000\n30293 45514\n68927 100000\n32494 48875\n27580 41448\n53306 80002\n61257 91956\n44480 66768\n99748 100000\n1268 1911\n44196 66365\n88870 100000\n38575 58001\n35326 53107\n53908 80914\n59692 89608\n5913 8879\n88351 100000\n74585 100000\n85677 100000\n22615 34016\n60483 90784\n28238 42424\n84929 100000\n57614 86467\n12699 19124\n11969 18050\n44536 66850\n13530 20364\n9764 14703\n92617 100000\n7178 10815\n74183 100000\n74596 100000\n48415 72717\n10327 15563\n4278 6420\n38713 58201\n63361 95093\n33105 49799\n58515 87831\n84803 100000\n8 13\n19962 30026\n75249 100000\n96838 100000\n20748 31223\n5446 8182\n29488 44313\n44329 66556\n47353 71085\n80390 100000\n41551 62415\n43405 65187\n71996 100000\n3932 5903\n873 1324\n18767 28240\n46932 70468\n65967 98953\n45626 68500\n2114 3187\n3992 5994\n20442 30759\n36379 54712\n94577 100000\n52856 79336\n39697 59657\n83907 100000\n22872 34399\n63849 95813\n99810 100000\n13556 20406\n45007 67572\n36982 55612\n99562 100000\n52161 78303\n70642 100000\n49493 74323\n73635 100000\n55938 83960\n32375 48698\n43562 65421\n43592 65469\n61662 92559\n98627 100000\n47455 71243\n19581 29450\n22927 34475\n54044 81111\n17890 26918\n52158 78298\n3942 5918\n33914 50998\n97114 100000\n12161 18330\n17366 26123\n18000 27084\n179 265\n405 608\n3961 5949\n22844 34356\n62497 93797\n22558 33927\n58948 88491\n98847 100000\n61464 92262\n18249 27462\n38978 58605\n83300 100000\n36355 54673\n77352 100000\n98841 100000\n89245 100000\n19000 28591\n23449 35261\n10750 16192\n77499 100000\n80424 100000\n7748 11685\n2993 4515\n41523 62374\n53520 80321\n61404 92164\n77401 100000\n86991 100000\n97191 100000\n3492 5242\n58247 87425\n37902 56991\n85659 100000\n81135 100000\n66183 99286\n94499 100000\n92467 100000\n97323 100000\n73043 100000\n90211 100000\n63737 95644\n46760 70200\n96088 100000\n36117 54300\n16922 25446\n36281 54562\n77204 100000\n82506 100000\n68316 100000\n28944 43495\n53750 80666\n5906 8867\n2647 4000\n91804 100000\n83203 100000\n8301 12514\n47684 71587\n52943 79470\n37599 56534\n6306 9466\n71154 100000\n70022 100000\n61198 91865\n2670 4033\n71119 100000\n1308 1971\n24872 37403\n6907 10393\n73454 100000\n78005 100000\n96865 100000\n37788 56819\n12553 18907\n80940 100000\n44979 67527\n40647 61059\n13899 20929\n54675 82060\n70895 100000\n82557 100000\n53215 79868\n26568 39916\n22707 34152\n52432 78718\n9030 13600\n71173 100000\n9779 14727\n23645 35567\n57385 86122\n33751 50755\n99406 100000\n22625 34031\n61660 92555\n28550 42902\n75364 100000\n95616 100000\n37698 56684\n10879 16382\n35803 53820\n62312 93527\n91968 100000\n39498 59361\n6911 10398\n32747 49258\n57056 85630\n24152 36329\n72640 100000\n15064 22679\n26098 39221\n86028 100000\n22623 34028\n58900 88418\n42065 63177\n88264 100000\n67690 100000\n91987 100000\n83299 100000\n10060 15149\n75622 100000\n59458 89265\n15204 22872\n32920 49524\n84939 100000\n98536 100000\n6789 10214\n20168 30339\n13385 20154\n15215 22890\n50350 75595\n51822 77784\n87550 100000\n82883 100000\n83006 100000\n38535 57946\n40766 61234\n18870 28397\n95237 100000\n88972 100000\n3496 5248\n60763 91212\n93833 100000\n93244 100000\n74741 100000\n19228 28921\n69303 100000\n82090 100000\n6778 10196\n69065 100000\n37224 55977\n5327 8010\n35572 53473\n49693 74618\n87728 100000\n25520 38363\n25616 38507\n23928 36007\n48917 73459\n27994 42066\n8272 12467\n7254 10929\n34641 52075\n35395 53205\n65965 98950\n78165 100000\n92233 100000\n77601 100000\n5218 7839\n13603 20475\n91687 100000\n27055 40658\n20176 30350\n77063 100000\n36901 55491\n43571 65436\n24146 36319\n26214 39396\n10913 16433\n45766 68708\n58672 88068\n91930 100000\n45525 68350\n38071 57228\n66813 100000\n68347 100000\n27752 41710\n41064 61674\n53614 80462\n46749 70183\n29772 44744\n56278 84471\n10387 15654\n72005 100000\n14608 21997\n94925 100000\n53896 80897\n36525 54928\n82034 100000\n82482 100000\n21151 31818\n61236 91925\n71923 100000\n26108 39236\n62636 94014\n95908 100000\n15182 22841\n32129 48314\n55124 82736\n79960 100000\n27111 40741\n22533 33888\n28927 43471\n50583 75935\n47741 71674\n27784 41761\n85497 100000\n40864 61384\n94421 100000\n34332 51623\n37031 55687\n57193 85840\n956 1447\n71258 100000\n85527 100000\n12891 19420\n80548 100000\n94930 100000\n69904 100000\n6301 9459\n82710 100000\n1995 3011\n70695 100000\n36771 55290\n96761 100000\n72760 100000\n17935 26987\n41736 62689\n9081 13674\n70816 100000\n11883 17919\n21683 32617\n14270 21483\n60911 91441\n7187 10831\n2047 3084\n17451 26244\n79864 100000\n55946 83973\n15641 23508\n88174 100000\n65447 98171\n82585 100000\n97132 100000\n43021 64609\n14760 22226\n80635 100000\n6739 10136\n69507 100000\n32081 48241\n78877 100000\n82968 100000\n59165 88815\n83848 100000\n18187 27368\n80131 100000\n43100 64721\n89394 100000\n15638 23504\n41219 61906\n72201 100000\n43387 65157\n91212 100000\n87939 100000\n67104 100000\n60222 90390\n64347 96539\n94944 100000\n18969 28543\n45108 67718\n76792 100000\n884 1345\n24534 36896\n95353 100000\n26862 40368\n76708 100000\n76258 100000\n84399 100000\n54596 81943\n6897 10377\n47236 70911\n57881 86870\n10856 16344\n56251 84429\n39456 59301\n56961 85486\n45642 68521\n75144 100000\n60543 90873\n51257 76940\n76483 100000\n95246 100000\n45430 68210\n94999 100000\n81633 100000\n38922 58517\n89650 100000\n98023 100000\n11097 16706\n79499 100000\n50306 75526\n6171 9262\n44963 67502\n27621 41511\n9468 14266\n23423 35225\n13493 20313\n10260 15455\n99187 100000\n8173 12314\n21859 32882\n90282 100000\n96807 100000\n95451 100000\n45768 68710\n1702 2575\n40908 61448\n6415 9647\n17068 25668\n85318 100000\n21169 31846\n33742 50740\n40525 60867\n60420 90689\n67701 100000\n47501 71309\n92608 100000\n66488 99745\n82584 100000\n86397 100000\n30463 45779\n18321 27568\n55452 83229\n44409 66666\n89339 100000\n68629 100000\n84978 100000\n42909 64444\n69873 100000\n27113 40744\n27326 41067\n61426 92201\n84960 100000\n52651 79040\n12390 18672\n82238 100000\n81014 100000\n56754 85169\n56713 85098\n45046 67627\n22933 34484\n93719 100000\n36803 55334\n62277 93476\n14471 21792\n48379 72660\n14440 21749\n30973 46563\n13585 20451\n81263 100000\n49753 74710\n13005 19592\n58631 88006\n79512 100000\n93608 100000\n15886 23878\n97104 100000\n97849 100000\n53055 79633\n4849 7282\n39673 59618\n14793 22276\n49896 74925\n15460 23243\n68203 100000\n39051 58712\n66643 99979\n94023 100000\n87433 100000\n96764 100000\n32997 49641\n60788 91248\n50021 75113\n25831 38824\n28686 43107\n75857 100000\n83448 100000\n65540 98309\n53384 80123\n37229 55985\n17535 26377\n43546 65395\n61829 92803\n3560 5339\n22705 34148\n66922 100000\n2013 3039\n78335 100000\n23863 35906\n71511 100000\n93778 100000\n72984 100000\n82005 100000\n30948 46523\n7818 11781\n18997 28585\n23664 35596\n10 16\n28221 42396\n18984 28567\n19987 30067\n67035 100000\n42247 63448\n27710 41647\n66366 99565\n92459 100000\n36827 55371\n11400 17166\n21157 31827\n82247 100000\n5343 8031\n28440 42734\n21536 32383\n1006 1522\n17228 25905\n36185 54406\n48591 72985\n96349 100000\n52470 78769\n45017 67586\n56244 84418\n7247 10917\n14112 21235\n16087 24184\n39023 58672\n17848 26852\n47807 71771\n37182 55911\n38334 57639\n52302 78517\n31525 47407\n23564 35441\n70577 100000\n51986 78040\n66742 100000\n37526 56431\n40474 60794\n55338 83059\n22273 33505\n41502 62345\n82879 100000\n76848 100000\n71320 100000\n18099 27240\n65224 97841\n78719 100000\n84443 100000\n32485 48861\n50062 75168\n92771 100000\n260 389\n94354 100000\n48387 72673\n62235 93414\n33221 49971\n33073 49754\n31791 47806\n11215 16888\n96008 100000\n10230 15407\n59682 89593\n95176 100000\n13580 20442\n64376 96581\n82409 100000\n4673 7012\n33989 51115\n62332 93554\n49124 73771\n59127 88756\n4141 6213\n38074 57232\n6620 9949\n20883 31427\n91782 100000\n89939 100000\n69888 100000\n35749 53742\n48369 72642\n73123 100000\n53338 80052\n23397 35188\n4785 7179\n88478 100000\n25664 38580\n45143 67769\n51103 76710\n29705 44643\n97965 100000\n28257 42453\n36522 54924\n53405 80153\n33512 50395\n68264 100000\n9390 14151\n38076 57236\n54721 82129\n33720 50709\n53264 79938\n35831 53862\n5369 8068\n63622 95482\n17500 26320\n2127 3204\n68191 100000\n51966 78008\n50788 76236\n96391 100000\n14928 22472\n24960 37528\n83226 100000\n73912 100000\n52078 78177\n60561 90899\n13681 20592\n15741 23650\n68180 100000\n32621 49076\n53139 79754\n89463 100000\n12543 18893\n89636 100000\n3721 5582\n15855 23828\n75737 100000\n53036 79604\n91838 100000\n67934 100000\n98827 100000\n21953 33024\n63405 95157\n25119 37771\n42845 64351\n62613 93983\n27176 40836\n28207 42374\n86216 100000\n68540 100000\n48392 72681\n98906 100000\n30979 46572\n5071 7612\n52334 78567\n60900 91423\n37585 56514\n39095 58776\n84467 100000\n19762 29717\n21430 32238\n29909 44945\n29653 44560\n64122 96211\n71474 100000\n18329 27579\n30045 45140\n37487 56371\n72258 100000\n73099 100000\n42077 63194\n60105 90224\n56342 84558\n4878 7321\n48935 73486\n68568 100000\n59163 88813\n57448 86216\n56177 84317\n20194 30378\n69870 100000\n39462 59311\n94702 100000\n85720 100000\n85064 100000\n37432 56285\n19066 28692\n18415 27708\n23692 35644\n59705 89631\n69624 100000\n51305 77016\n46405 69678\n24214 36421\n59398 89179\n92639 100000\n99069 100000\n51167 76806\n3446 5178\n19550 29401\n31532 47417\n95247 100000\n95883 100000\n26094 39214\n98504 100000\n86652 100000\n64783 97198\n42986 64560\n62212 93376\n75013 100000\n34630 52056\n99993 100000\n86779 100000\n94641 100000\n12704 19130\n85824 100000\n64430 96662\n41534 62390\n55435 83202\n86047 100000\n89991 100000\n76106 100000\n16688 25094\n33933 51028\n51232 76902\n5118 7680\n36624 55072\n91841 100000\n63714 95613\n31302 47067\n35262 53008\n16686 25091\n8202 12360\n81175 100000\n52306 78524\n8352 12588\n90013 100000\n31205 46919\n37669 56642\n87850 100000\n45368 68118\n44846 67314\n23240 34945\n28643 43047\n60037 90120\n98163 100000\n71890 100000\n88755 100000\n88178 100000\n33101 49792\n50748 76179\n86944 100000\n81196 100000\n54462 81742\n7041 10607\n66659 100000\n68101 100000\n32697 49186\n6372 9578\n39541 59424\n78984 100000\n68890 100000\n59494 89316\n55629 83494\n42025 63119\n94633 100000\n97217 100000\n25417 38215\n12740 19190\n60214 90379\n24280 36517\n75667 100000\n53280 79962\n99567 100000\n65430 98143\n11352 17093\n18060 27179\n19793 29767\n54229 81393\n41671 62594\n3077 4643\n67323 100000\n19822 29811\n2308 3488\n50975 76515\n50995 76545\n50304 75524\n23689 35638\n45015 67584\n62364 93602\n8245 12430\n62753 94193\n57251 85925\n8406 12673\n167 250\n58825 88310\n30609 46006\n37097 55787\n95935 100000\n26206 39384\n57053 85625\n90191 100000\n69500 100000\n67891 100000\n72176 100000\n83551 100000\n76824 100000\n2423 3661\n98314 100000\n24507 36856\n40024 60129\n37288 56075\n49799 74778\n48723 73186\n86476 100000\n76179 100000\n84585 100000\n88679 100000\n85490 100000\n60712 91131\n94198 100000\n25007 37602\n96276 100000\n77048 100000\n17022 25593\n91159 100000\n20011 30102\n59183 88843\n24591 36983\n25372 38147\n43991 66063\n46076 69177\n72423 100000\n60324 90552\n71863 100000\n82357 100000\n32590 49028\n17029 25605\n96285 100000\n44092 66216\n86385 100000\n44901 67401\n75056 100000\n8386 12644\n1878 2844\n22918 34464\n57170 85805\n62882 94390\n3601 5402\n80288 100000\n34159 51371\n69935 100000\n6383 9592\n61353 92091\n44376 66622\n11090 16695\n60229 90401\n19831 29823\n4751 7126\n17528 26365\n59664 89565\n59636 89520\n2732 4130\n86130 100000\n96330 100000\n66238 99372\n85334 100000\n25722 38667\n76939 100000\n95639 100000\n21955 33028\n92818 100000\n20917 31479\n52111 78232\n26892 40412\n49769 74737\n94002 100000\n83858 100000\n26992 40553\n2766 4178\n34962 52565\n71622 100000\n60484 90786\n51300 77007\n1798 2729\n81215 100000\n62183 93330\n30262 45474\n83028 100000\n90619 100000\n65197 97803\n34970 52576\n90020 100000\n65106 97662\n82734 100000\n26314 39543\n57637 86503\n4277 6418\n44056 66160\n90850 100000\n10657 16048\n15685 23573\n2071 3120\n34700 52172\n53178 79813\n93159 100000\n33823 50864\n82315 100000\n96871 100000\n19280 29000\n78995 100000\n54355 81588\n32573 49000\n41844 62856\n63919 95910\n21129 31783\n63590 95437\n13140 19788\n30511 45854\n98739 100000\n45398 68162\n13730 20665\n68576 100000\n498 753\n76740 100000\n16667 25061\n25410 38203\n45524 68349\n29142 43792\n41155 61810\n59265 88970\n78292 100000\n67028 100000\n30085 45203\n36972 55595\n40174 60358\n48743 73212\n2155 3250\n58615 87983\n3728 5592\n10604 15969\n2279 3443\n88397 100000\n91075 100000\n53927 80942\n86039 100000\n21673 32601\n14711 22150\n69459 100000\n34466 51819\n14913 22449\n13573 20431\n85149 100000\n51262 76947\n59184 88845\n11648 17560\n60068 90167\n29178 43849\n35114 52784\n58052 87128\n20571 30954\n57097 85697\n98945 100000\n61814 92780\n90322 100000\n63117 94741\n59070 88675\n26590 39948\n11555 17411\n79685 100000\n78459 100000\n50954 76486\n92733 100000\n71578 100000\n93678 100000\n52739 79166\n49615 74509\n13686 20598\n61558 92401\n55790 83742\n58557 87896\n54447 81721\n89537 100000\n46946 70485\n73639 100000\n68213 100000\n77971 100000\n15515 23323\n864 1312\n40721 61168\n42590 63976\n74599 100000\n23013 34605\n72596 100000\n22414 33710\n73106 100000\n93489 100000\n46202 69369\n25483 38311\n10480 15789\n87817 100000\n40619 61020\n63274 94967\n63404 95156\n46743 70176\n81864 100000\n9347 14086\n77429 100000\n99102 100000\n45427 68205\n11026 16602\n95291 100000\n11860 17884\n52791 79239\n81159 100000\n43333 65079\n64456 96703\n14915 22453\n38399 57736\n45345 68081\n23699 35653\n53822 80780\n37844 56902\n57005 85550\n95509 100000\n31269 47017\n51535 77355\n69093 100000\n30822 46323\n20646 31064\n7067 10644\n57205 85860\n93856 100000\n18093 27229\n3154 4758\n84707 100000\n55735 83655\n39928 59984\n46966 70514\n80848 100000\n89218 100000\n95859 100000\n18293 27529\n77390 100000\n89462 100000\n21242 31958\n65582 98371\n65304 97961\n44415 66676\n32018 48145\n29853 44860\n83492 100000\n2747 4151\n43165 64818\n29217 43912\n36457 54828\n64492 96758\n30424 45717\n37949 57055\n4501 6753\n23456 35272\n64389 96601\n36149 54346\n57998 87053\n96940 100000\n13395 20168\n53422 80179\n76440 100000\n7663 11553\n52203 78368\n99895 100000\n61492 92303\n2022 3052\n87538 100000\n44163 66323\n39009 58653\n50430 75710\n8065 12151\n20133 30290\n16648 25032\n40515 60852\n90086 100000\n92716 100000\n74210 100000\n91400 100000\n50791 76242\n90704 100000\n59560 89411\n87076 100000\n32447 48806\n34106 51290\n49669 74586\n38123 57311\n31508 47379\n54608 81960\n21028 31636\n89604 100000\n75518 100000\n23694 35647\n62457 93744\n10343 15589\n62099 93207\n4139 6211\n23097 34736\n87492 100000\n60259 90452\n70814 100000\n72831 100000\n54480 81769\n4172 6262\n64095 96169\n25749 38708\n65822 98732\n63568 95405\n57095 85693\n68161 100000\n64172 96284\n96738 100000\n48109 72248\n79178 100000\n92671 100000\n58210 87364\n33764 50774\n33928 51019\n28161 42311\n31348 47137\n25221 37921\n90399 100000\n18721 28168\n42968 64532\n73436 100000\n83341 100000\n52101 78215\n85879 100000\n66957 100000\n56603 84936\n68450 100000\n15557 23381\n16755 25189\n18491 27825\n55551 83381\n71158 100000\n23610 35510\n83724 100000\n85290 100000\n76155 100000\n21636 32546\n22524 33877\n32832 49390\n51702 77607\n37190 55924\n65455 98184\n10789 16248\n48923 73467\n95515 100000\n77191 100000\n61579 92430\n99417 100000\n72186 100000\n18238 27444\n12225 18418\n51980 78031\n11249 16942\n35152 52841\n60877 91387\n19598 29471\n23681 35624\n95533 100000\n25174 37854\n88298 100000\n46863 70369\n73168 100000\n29267 43983\n73441 100000\n19354 29110\n74413 100000\n80744 100000\n75319 100000\n9094 13693\n78254 100000\n36366 54690\n92224 100000\n66372 99573\n2023 3053\n20921 31486\n93918 100000\n44627 66989\n53756 80676\n29336 44088\n55233 82896\n7263 10943\n41977 63053\n58897 88414\n68159 100000\n56859 85335\n91437 100000\n81786 100000\n16619 24988\n18689 28120\n24302 36547\n63612 95467\n76218 100000\n79835 100000\n3078 4644\n11873 17904\n34318 51600\n73258 100000\n88038 100000\n2992 4513\n91913 100000\n16609 24973\n520 789\n12242 18443\n38636 58092\n80330 100000\n58185 87330\n94617 100000\n66785 100000\n69444 100000\n93614 100000\n17752 26707\n91911 100000\n49774 74744\n54101 81200\n10356 15608\n47536 71359\n64301 96474\n40308 60547\n64145 96244\n65306 97965\n55647 83521\n50627 76000\n39130 58821\n29729 44684\n69925 100000\n63193 94850\n52007 78072\n26207 39385\n57847 86819\n30134 45277\n93178 100000\n50799 76253\n99682 100000\n762 1157\n11903 17948\n1811 2748\n44174 66338\n74015 100000\n51397 77157\n10345 15592\n79796 100000\n5995 8999\n25803 38783\n4291 6440\n93075 100000\n89704 100000\n69773 100000\n74722 100000\n50027 75121\n48562 72946\n85699 100000\n90296 100000\n7420 11175\n3404 5122\n86796 100000\n29220 43917\n96361 100000\n9895 14896\n90022 100000\n49749 74703\n84274 100000\n31874 47933\n95493 100000\n96140 100000\n55080 82664\n91228 100000\n15555 23379\n81320 100000\n65250 97884\n21943 33010\n82030 100000\n45412 68185\n49712 74647\n56436 84697\n25334 38088\n41646 62560\n88796 100000\n24488 36825\n92843 100000\n70083 100000\n25029 37636\n44631 66994\n1512 2283\n57613 86466\n89323 100000\n69724 100000\n88375 100000\n8901 13405\n64004 96033\n52120 78244\n39599 59509\n84535 100000\n20305 30551\n5470 8213\n62504 93808\n67723 100000\n29826 44816\n72435 100000\n55091 82682\n67018 100000\n75888 100000\n60904 91430\n91463 100000\n34176 51396\n17049 25639\n93775 100000\n80818 100000\n83397 100000\n91772 100000\n73267 100000\n20656 31080\n73230 100000\n62438 93717\n14280 21499\n39750 59729\n65091 97640\n80043 100000\n9058 13643\n80773 100000\n68831 100000\n3832 5751\n11536 17383\n88227 100000\n41166 61826\n39572 59469\n9378 14134\n90587 100000\n70687 100000\n20892 31440\n41475 62298\n8143 12272\n59975 90029\n18214 27411\n65214 97828\n6842 10293\n84986 100000\n62508 93814\n75094 100000\n41527 62380\n89164 100000\n20880 31422\n37928 57025\n65981 98974\n33760 50768\n52153 78290\n59143 88780\n45294 68003\n91606 100000\n62072 93165\n99549 100000\n38555 57973\n34096 51275\n75205 100000\n38901 58487\n62549 93881\n50293 75509\n68367 100000\n65794 98690\n92077 100000\n41765 62731\n70132 100000\n93836 100000\n47463 71253\n44269 66464\n74833 100000\n52519 78844\n19564 29421\n80892 100000\n93684 100000\n56821 85274\n38697 58178\n60767 91216\n72098 100000\n60673 91076\n94105 100000\n93020 100000\n75017 100000\n82426 100000\n85646 100000\n97097 100000\n18332 27583\n17282 25989\n2987 4505\n30156 45311\n57077 85665\n7162 10793\n49903 74934\n58604 87969\n42496 63828\n52347 78585\n35069 52722\n49705 74634\n62795 94258\n18297 27535\n75496 100000\n73202 100000\n25217 37915\n44705 67103\n24276 36510\n6253 9384\n11110 16728\n16759 25196\n48294 72534\n68957 100000\n26113 39243\n34329 51618\n44307 66524\n58403 87663\n4971 7457\n27920 41956\n31573 47482\n11016 16587\n81274 100000\n11310 17032\n50160 75308\n34567 51960\n19999 30082\n61584 92436\n39384 59200\n36779 55301\n81420 100000\n45762 68702\n83844 100000\n56053 84138\n25994 39068\n38347 57660\n31248 46986\n55839 83814\n19265 28978\n92562 100000\n76542 100000\n68407 100000\n8040 12114\n65572 98355\n73534 100000\n35488 53343\n38065 57219\n22152 33325\n43581 65453\n91306 100000\n88942 100000\n93623 100000\n71369 100000\n31113 46778\n10829 16305\n62793 94255\n39420 59247\n86329 100000\n96491 100000\n81875 100000\n55092 82683\n30110 45240\n31068 46707\n1502 2267\n70119 100000\n83988 100000\n18861 28383\n29106 43739\n49740 74686\n58024 87088\n20736 31204\n31715 47695\n74119 100000\n25123 37777\n14907 22439\n33750 50753\n14860 22375\n65042 97565\n27380 41148\n11575 17445\n41053 61659\n9867 14851\n16675 25075\n75374 100000\n97093 100000\n90992 100000\n62554 93889\n27729 41673\n26930 40466\n52431 78716\n61451 92241\n52462 78759\n8423 12699\n52095 78206\n37547 56460\n26621 39992\n2232 3371\n29383 44155\n93019 100000\n88330 100000\n23756 35741\n12511 18847\n35548 53436\n82161 100000\n22761 34232\n70660 100000\n69546 100000\n98938 100000\n74255 100000\n63499 95292\n44917 67427\n10658 16049\n60818 91300\n31652 47602\n19993 30073\n22021 33122\n47559 71394\n73366 100000\n13099 19728\n37308 56103\n90314 100000\n68778 100000\n33038 49698\n69697 100000\n44593 66938\n62076 93170\n41369 62135\n54347 81578\n50692 76096\n23160 34830\n67760 100000\n91877 100000\n97275 100000\n28940 43489\n86704 100000\n87446 100000\n77198 100000\n58325 87551\n79526 100000\n36404 54751\n7211 10865\n67546 100000\n10954 16496\n97836 100000\n42167 63325\n55069 82646\n69068 100000\n59336 89082\n3962 5950\n14718 22160\n82878 100000\n69276 100000\n95046 100000\n54210 81365\n78770 100000\n87590 100000\n72684 100000\n44775 67211\n95545 100000\n5557 8340\n81604 100000\n10336 15576\n77534 100000\n83220 100000\n5757 8636\n69497 100000\n79328 100000\n40049 60164\n40079 60212\n1586 2397\n54494 81791\n4103 6160\n37490 56375\n27660 41571\n20629 31040\n66069 99113\n33576 50492\n43912 65943\n53394 80137\n4190 6288\n32567 48990\n43267 64975\n53457 80229\n69057 100000\n3885 5830\n35850 53890\n80513 100000\n26712 40132\n58327 87554\n11751 17724\n57760 86692\n15698 23591\n21804 32798\n46833 70318\n86518 100000\n35814 53836\n1597 2412\n51316 77035\n21736 32696\n35464 53310\n41481 62310\n14038 21135\n75653 100000\n8594 12952\n3101 4680\n18583 27956\n91618 100000\n60015 90090\n7272 10958\n71368 100000\n68736 100000\n63317 95026\n53862 80841\n94837 100000\n63655 95530\n81221 100000\n59133 88766\n66203 99318\n55859 83841\n8312 12528\n15784 23716\n21301 32049\n46892 70411\n43351 65108\n28584 42956\n68875 100000\n13116 19753\n71770 100000\n1490 2248\n90323 100000\n7036 10599\n9715 14630\n56221 84387\n91490 100000\n15715 23614\n75914 100000\n2321 3506\n42488 63816\n53003 79558\n7184 10826\n29052 43661\n16429 24699\n91664 100000\n3630 5443\n92730 100000\n93512 100000\n45138 67762\n76518 100000\n19604 29477\n6378 9585\n4371 6556\n98971 100000\n13788 20755\n10978 16529\n34210 51448\n95937 100000\n36909 55504\n54954 82477\n92874 100000\n755 1145\n26311 39539\n70041 100000\n58683 88085\n62798 94263\n81082 100000\n81108 100000\n90358 100000\n71512 100000\n53565 80389\n77025 100000\n64319 96498\n86856 100000\n27487 41311\n88586 100000\n42639 64051\n84045 100000\n93543 100000\n21132 31789\n43400 65180\n72420 100000\n30679 46116\n16249 24435\n66858 100000\n40971 61542\n61819 92788\n98041 100000\n72207 100000\n13987 21062\n97092 100000\n90656 100000\n9594 14450\n77114 100000\n20962 31545\n54482 81771\n16343 24572\n80895 100000\n18145 27309\n92206 100000\n43876 65893\n60759 91204\n10070 15164\n59515 89345\n87994 100000\n8054 12135\n48593 72987\n2839 4287\n2273 3436\n32041 48181\n45837 68816\n46406 69679\n15962 23983\n2442 3692\n6271 9414\n16452 24735\n72504 100000\n69464 100000\n82978 100000\n28783 43252\n64136 96232\n63414 95171\n22873 34400\n90789 100000\n24271 36503\n22059 33181\n62377 93623\n41340 62088\n24212 36417\n59237 88926\n46286 69502\n28882 43402\n13888 20914\n84240 100000\n55777 83721\n86062 100000\n60246 90427\n64482 96743\n69026 100000\n41096 61727\n68375 100000\n81853 100000\n29323 44069\n59147 88786\n58112 87223\n11024 16600\n33517 50404\n29848 44852\n71240 100000\n66380 99586\n96408 100000\n21888 32929\n37492 56378\n5 7\n8255 12442\n25933 38979\n28011 42093\n70906 100000\n76304 100000\n60334 90564\n94157 100000\n27683 41604\n93907 100000\n42645 64058\n22474 33806\n61347 92084\n74660 100000\n58673 88070\n33097 49787\n29244 43949\n13701 20619\n11366 17114\n74328 100000\n49593 74475\n43899 65925\n51994 78054\n14930 22474\n47546 71376\n96877 100000\n25571 38435\n24542 36908\n5219 7841\n98629 100000\n65481 98223\n32648 49119\n1199 1812\n1444 2174\n85442 100000\n83508 100000\n50228 75414\n10082 15182\n32729 49232\n30425 45719\n66162 99257\n1216 1835\n15088 22716\n98998 100000\n52900 79402\n94515 100000\n10676 16075\n89103 100000\n75328 100000\n67596 100000\n35078 52733\n77844 100000\n55144 82770\n60760 91206\n18567 27932\n34134 51332\n2171 3277\n57303 86002\n42871 64386\n90931 100000\n30539 45899\n9099 13703\n72785 100000\n57630 86492\n87937 100000\n72704 100000\n75619 100000\n87371 100000\n20765 31246\n75445 100000\n43676 65594\n94209 100000\n2813 4248\n6995 10534\n63271 94963\n26785 40249\n51323 77046\n61088 91705\n62548 93880\n40327 60576\n28147 42288\n91030 100000\n95342 100000\n87852 100000\n90379 100000\n52721 79142\n62067 93158\n79067 100000\n88857 100000\n89367 100000\n43648 65550\n46271 69478\n32740 49247\n3768 5653\n47237 70912\n46039 69124\n93215 100000\n61164 91814\n35216 52937\n88109 100000\n52885 79378\n71242 100000\n38153 57357\n83556 100000\n84026 100000\n64872 97331\n41756 62717\n42690 64124\n1943 2936\n26824 40310\n20895 31445\n36571 54993\n2672 4036\n92095 100000\n43378 65146\n47959 72015\n82312 100000\n97297 100000\n81688 100000\n44722 67127\n58823 88307\n64215 96344\n28246 42436\n5642 8468\n79155 100000\n73365 100000\n22171 33351\n87531 100000\n5471 8215\n82443 100000\n83349 100000\n49253 73968\n10181 15332\n32618 49071\n94337 100000\n20202 30390\n44298 66511\n29520 44362\n28612 43001\n92646 100000\n97866 100000\n82603 100000\n73665 100000\n86968 100000\n77513 100000\n83532 100000\n57277 85962\n61380 92129\n43691 65615\n93333 100000\n20215 30409\n12551 18904\n45282 67984\n96593 100000\n37471 56346\n70715 100000\n44633 66998\n71795 100000\n80022 100000\n68903 100000\n9773 14719\n51885 77886\n77199 100000\n74525 100000\n31588 47506\n37401 56241\n15040 22641\n54367 81605\n36119 54303\n25495 38327\n46868 70377\n68881 100000\n85097 100000\n30001 45078\n78843 100000\n75615 100000\n87055 100000\n564 855\n93689 100000\n57942 86962\n41192 61866\n17963 27027\n18942 28501\n67156 100000\n89737 100000\n22391 33676\n30790 46276\n23594 35488\n63084 94691\n10193 15351\n54810 82265\n34250 51506\n50603 75966\n65681 98521\n25920 38959\n86334 100000\n10121 15244\n71157 100000\n82838 100000\n29605 44492\n87254 100000\n27144 40792\n32619 49073\n49870 74887\n16453 24736\n67057 100000\n55578 83421\n77176 100000\n4574 6863\n32403 48738\n18649 28056\n97659 100000\n95625 100000\n64453 96699\n19247 28950\n83080 100000\n38648 58107\n86143 100000\n57354 86077\n92412 100000\n42888 64411\n59542 89383\n38554 57971\n19671 29579\n35876 53927\n83955 100000\n47810 71776\n54089 81179\n41402 62185\n80573 100000\n51588 77433\n8681 13082\n83677 100000\n98204 100000\n39360 59162\n96715 100000\n80097 100000\n35822 53847\n12282 18506\n36428 54783\n50866 76349\n72856 100000\n83760 100000\n93993 100000\n37333 56141\n95116 100000\n87755 100000\n51043 76617\n53820 80777\n8988 13541\n48211 72404\n72672 100000\n36425 54779\n36456 54827\n57597 86445\n87370 100000\n88344 100000\n93425 100000\n84289 100000\n90383 100000\n90244 100000\n88769 100000\n11202 16868\n87140 100000\n23601 35498\n20979 31569\n70945 100000\n77869 100000\n70329 100000\n75014 100000\n75141 100000\n36920 55519\n11829 17837\n53289 79975\n19010 28606\n69666 100000\n70133 100000\n54275 81472\n9965 15001\n58791 88256\n21655 32572\n81854 100000\n66409 99628\n56386 84625\n80688 100000\n10949 16490\n1312 1976\n91995 100000\n38199 57428\n91090 100000\n91216 100000\n22192 33383\n60952 91500\n75873 100000\n40294 60529\n17525 26360\n55535 83354\n30457 45768\n77949 100000\n58162 87298\n41030 61628\n30165 45326\n23806 35818\n48 69\n43175 64832\n28334 42571\n90868 100000\n34387 51705\n45044 67625\n83318 100000\n57133 85747\n71991 100000\n30296 45520\n94486 100000\n26901 40424\n98549 100000\n37787 56818\n94484 100000\n78628 100000\n84759 100000\n51290 76990\n6235 9354\n97264 100000\n34524 51899\n8572 12922\n10578 15928\n52808 79267\n11590 17468\n54380 81624\n60007 90077\n97312 100000\n61924 92946\n24309 36556\n8817 13281\n26709 40127\n90245 100000\n28646 43050\n74731 100000\n61968 93011\n21144 31805\n39322 59106\n74934 100000\n53887 80881\n76791 100000\n55604 83458\n4875 7318\n17309 26031\n74540 100000\n97890 100000\n11393 17153\n51280 76976\n66340 99524\n34711 52187\n28411 42690\n43374 65140\n91815 100000\n20458 30784\n73453 100000\n44596 66942\n46830 70313\n68946 100000\n76045 100000\n44605 66956\n89337 100000\n17926 26974\n1565 2364\n59854 89849\n6495 9767\n9527 14352\n46287 69503\n60054 90148\n72643 100000\n8486 12790\n80596 100000\n16921 25444\n3031 4574\n537 816\n36247 54509\n74959 100000\n78600 100000\n91039 100000\n40137 60298\n71563 100000\n80254 100000\n17321 26050\n67912 100000\n36937 55544\n51608 77462\n23153 34818\n73793 100000\n92861 100000\n2671 4034\n73628 100000\n11266 16967\n96535 100000\n89212 100000\n34923 52509\n79154 100000\n42849 64357\n77020 100000\n74390 100000\n13380 20149\n51115 76726\n69226 100000\n8184 12333\n18328 27578\n15778 23708\n2959 4465\n3125 4715\n50257 75458\n5433 8161\n96480 100000\n67684 100000\n45806 68770\n22075 33206\n73750 100000\n50260 75463\n48792 73277\n11662 17582\n98583 100000\n9911 14919\n93992 100000\n62532 93854\n47515 71330\n50185 75347\n17671 26581\n64084 96156\n27115 40747\n73369 100000\n97955 100000\n98701 100000\n30097 45222\n70648 100000\n25307 38051\n62061 93150\n43776 65744\n34864 52424\n57063 85642\n41522 62372\n88061 100000\n21395 32182\n96370 100000\n9333 14064\n27114 40745\n49433 74231\n30903 46449\n72348 100000\n16737 25163\n54747 82168\n67053 100000\n72689 100000\n48059 72170\n59445 89247\n10399 15669\n7013 10563\n8719 13130\n36981 55611\n58980 88538\n79974 100000\n61183 91843\n53970 81004\n56670 85032\n81377 100000\n49679 74599\n98117 100000\n25505 38343\n73955 100000\n69333 100000\n40539 60888\n69221 100000\n48846 73357\n60636 91018\n96354 100000\n84098 100000\n48349 72615\n42369 63637\n8164 12300\n54859 82334\n43256 64957\n23932 36014\n55246 82917\n62605 93973\n6961 10476\n7946 11974\n42408 63692\n14344 21603\n87481 100000\n27535 41383\n40809 61302\n92432 100000\n5280 7935\n94597 100000\n51031 76598\n21093 31733\n81018 100000\n60668 91068\n95683 100000\n54464 81744\n35342 53129\n87522 100000\n31747 47744\n23823 35843\n34932 52521\n39514 59385\n34939 52530\n87350 100000\n51516 77327\n75384 100000\n56991 85527\n32776 49305\n4374 6562\n75233 100000\n62824 94304\n25449 38265\n7197 10846\n86493 100000\n64455 96702\n34651 52092\n3131 4725\n89240 100000\n7680 11577\n79285 100000\n81074 100000\n54322 81547\n69415 100000\n50388 75648\n80660 100000\n24327 36582\n80151 100000\n95240 100000\n47266 70952\n25046 37664\n4523 6785\n36113 54293\n20680 31118\n6548 9841\n11319 17044\n85561 100000\n4121 6184\n78434 100000\n1417 2135\n20343 30611\n92414 100000\n50414 75688\n6103 9162\n94340 100000\n9671 14568\n48693 73136\n33295 50074\n38456 57823\n20642 31060\n47744 71677\n11453 17255\n41880 62910\n4591 6890\n567 861\n8480 12781\n47641 71520\n95880 100000\n18476 27801\n51063 76648\n81142 100000\n54309 81527\n88535 100000\n44011 66090\n28716 43150\n27581 41450\n96843 100000\n33598 50523\n2389 3614\n70208 100000\n52446 78737\n33458 50314\n2907 4390\n61288 91999\n34397 51717\n94822 100000\n20525 30888\n96596 100000\n61435 92217\n71248 100000\n68701 100000\n28015 42099\n60487 90790\n28155 42301\n11642 17553\n75486 100000\n71472 100000\n63949 95955\n9581 14430\n73740 100000\n66956 100000\n8808 13268\n23242 34948\n83804 100000\n31420 47245\n46586 69944\n11954 18029\n5647 8476\n99101 100000\n81452 100000\n79062 100000\n96727 100000\n46111 69228\n89714 100000\n23027 34625\n55340 83061\n35808 53828\n40968 61537\n2316 3500\n37307 56101\n77506 100000\n89430 100000\n93642 100000\n75864 100000\n22035 33145\n20330 30590\n25226 37926\n97482 100000\n89804 100000\n78981 100000\n72855 100000\n65861 98791\n42929 64475\n70522 100000\n94645 100000\n51865 77850\n3641 5460\n86101 100000\n4803 7207\n3669 5503\n29817 44804\n10073 15169\n6367 9568\n37317 56117\n1587 2398\n22508 33856\n46672 70071\n29196 43877\n39416 59242\n43918 65952\n49361 74125\n73528 100000\n46515 69843\n16179 24327\n63209 94874\n64379 96586\n13330 20074\n12070 18201\n42323 63567\n17641 26538\n55044 82612\n80177 100000\n99487 100000\n24971 37546\n72016 100000\n75355 100000\n19820 29808\n78314 100000\n68378 100000\n46086 69191\n95269 100000\n37500 56389\n47008 70576\n16027 24094\n41570 62443\n47842 71822\n83095 100000\n62059 93146\n27166 40822\n33091 49779\n68739 100000\n93480 100000\n22737 34194\n71812 100000\n3938 5912\n13155 19814\n63587 95432\n8685 13087\n90353 100000\n97267 100000\n75260 100000\n98700 100000\n85142 100000\n24753 37227\n33140 49853\n2655 4010\n63421 95184\n95755 100000\n59896 89910\n90944 100000\n93557 100000\n91512 100000\n50353 75599\n21492 32323\n26730 40162\n32066 48220\n49538 74391\n2175 3283\n69418 100000\n29224 43923\n21256 31980\n46970 70518\n25048 37666\n66881 100000\n6263 9400\n22461 33786\n9385 14145\n25837 38835\n56367 84597\n12378 18656\n57890 86884\n80580 100000\n24074 36208\n13342 20093\n79377 100000\n90825 100000\n55351 83076\n52322 78550\n81404 100000\n23189 34870\n43395 65171\n43539 65386\n92925 100000\n17967 27033\n64328 96511\n46147 69283\n41005 61587\n93358 100000\n65110 97669\n30408 45693\n53976 81013\n8471 12770\n51800 77750\n63520 95326\n659 1000\n98955 100000\n7378 11114\n79216 100000\n98654 100000\n77220 100000\n8221 12390\n21332 32091\n72496 100000\n31804 47826\n9078 13669\n87764 100000\n87493 100000\n4919 7382\n71672 100000\n69430 100000\n3803 5710\n59904 89922\n97589 100000\n5045 7574\n39000 58641\n6782 10203\n86170 100000\n63603 95452\n89131 100000\n52298 78511\n59420 89212\n68462 100000\n8994 13551\n8325 12547\n24289 36529\n1421 2140\n6694 10065\n53564 80388\n94611 100000\n3981 5979\n98260 100000\n19325 29067\n96404 100000\n4174 6266\n63012 94583\n10613 15982\n27197 40870\n57737 86659\n60360 90604\n9978 15020\n97826 100000\n26386 39654\n12426 18728\n96943 100000\n32528 48931\n73920 100000\n67609 100000\n76344 100000\n8707 13117\n48277 72504\n82590 100000\n87865 100000\n99868 100000\n42508 63846\n39100 58782\n51348 77083\n67467 100000\n75240 100000\n81299 100000\n83447 100000\n37517 56417\n9140 13762\n90267 100000\n53342 80057\n25690 38617\n30231 45424\n39068 58736\n68707 100000\n10297 15516\n50236 75429\n87220 100000\n64081 96152\n37350 56164\n29837 44832\n2226 3360\n64185 96304\n7911 11918\n46220 69395\n1046 1585\n52987 79538\n12974 19544\n21895 32938\n19496 29320\n87356 100000\n56840 85304\n63239 94917\n96619 100000\n3794 5694\n45903 68919\n65344 98016\n72007 100000\n36725 55223\n36823 55365\n42686 64120\n89006 100000\n1712 2593\n41891 62927\n71635 100000\n16676 25077\n7565 11403\n24087 36228\n49347 74106\n72447 100000\n95164 100000\n68549 100000\n92745 100000\n97678 100000\n71155 100000\n86449 100000\n56172 84308\n8766 13202\n96450 100000\n87534 100000\n72242 100000\n20389 30679\n13073 19690\n36521 54922\n65509 98269\n10857 16345\n12995 19576\n19276 28996\n93867 100000\n36973 55597\n31422 47249\n66582 99889\n27172 40829\n69182 100000\n37254 56021\n90899 100000\n23282 35005\n67948 100000\n50402 75669\n96566 100000\n6610 9933\n35981 54084\n17550 26397\n88614 100000\n23004 34593\n6682 10047\n58938 88476\n79637 100000\n93423 100000\n89733 100000\n4855 7290\n46092 69200\n68666 100000\n35304 53073\n56035 84111\n57722 86637\n89000 100000\n30075 45188\n22213 33414\n74971 100000\n41942 63003\n58896 88412\n76221 100000\n30368 45630\n26154 39306\n59757 89713\n91941 100000\n71319 100000\n39466 59317\n10961 16506\n59088 88700\n96316 100000\n88263 100000\n32142 48336\n30757 46231\n28739 43184\n63503 95298\n93589 100000\n2630 3974\n4294 6445\n53580 80411\n67358 100000\n46357 69605\n8046 12124\n297 444\n50204 75378\n44049 66149\n24574 36956\n48182 72359\n17689 26610\n46576 69933\n80842 100000\n5011 7521\n52403 78675\n37204 55946\n22400 33690\n95056 100000\n69831 100000\n67442 100000\n45765 68706\n22657 34080\n64339 96528\n69792 100000\n94657 100000\n80689 100000\n41974 63049\n39971 60049\n38235 57486\n21187 31875\n26814 40294\n99899 100000\n92372 100000\n39165 58870\n18131 27286\n94164 100000\n29531 44380\n92109 100000\n26181 39345\n53346 80063\n7804 11761\n58966 88515\n60979 91548\n83316 100000\n36163 54369\n70395 100000\n68417 100000\n66854 100000\n26726 40156\n42370 63638\n4641 6964\n25092 37732\n3269 4927\n43522 65360\n32515 48910\n34136 51336\n22934 34486\n68624 100000\n33717 50704\n76588 100000\n67997 100000\n78943 100000\n9286 13991\n58805 88278\n20521 30882\n74580 100000\n81696 100000\n11239 16926\n6182 9277\n49545 74400\n23468 35290\n8019 12083\n34120 51313\n30604 45997\n42152 63303\n22058 33179\n35602 53517\n40941 61499\n7584 11434\n37937 57037\n58281 87479\n97611 100000\n90219 100000\n20170 30341\n29974 45039\n34945 52538\n32985 49623\n18094 27231\n6201 9307\n43832 65828\n50089 75207\n30320 45558\n51068 76656\n90354 100000\n11198 16863\n84802 100000\n10351 15599\n12461 18778\n21796 32786\n95427 100000\n83507 100000\n30678 46114\n6942 10444\n16085 24181\n2723 4116\n46466 69773\n91583 100000\n98493 100000\n40574 60949\n91759 100000\n96084 100000\n61645 92529\n34060 51220\n10457 15759\n23899 35963\n82440 100000\n95772 100000\n39708 59673\n95742 100000\n77233 100000\n82207 100000\n87523 100000\n21523 32366\n39957 60028\n52964 79501\n79745 100000\n86880 100000\n9848 14820\n64318 96497\n28718 43153\n62840 94327\n94628 100000\n61550 92390\n34055 51215\n6462 9718\n20282 30516\n57162 85794\n76249 100000\n29592 44474\n93451 100000\n64877 97336\n84488 100000\n15264 22961\n57618 86474\n57993 87044\n3260 4915\n20 27\n76336 100000\n83754 100000\n69999 100000\n70825 100000\n56551 84862\n24914 37463\n86389 100000\n50391 75652\n51188 76838\n93343 100000\n58719 88141\n14692 22121\n9218 13881\n15333 23058\n56738 85142\n53521 80323\n15845 23813\n24397 36686\n84449 100000\n73958 100000\n37772 56797\n63015 94587\n31012 46621\n77918 100000\n22513 33861\n5947 8930\n99687 100000\n50355 75601\n56370 84601\n83430 100000\n77992 100000\n49688 74612\n74739 100000\n28447 42743\n46463 69767\n84967 100000\n20730 31193\n43569 65433\n23505 35345\n29174 43842\n14289 21515\n67 100\n7536 11362\n62030 93106\n21149 31815\n63769 95694\n78932 100000\n40728 61181\n65752 98625\n68473 100000\n61987 93036\n72338 100000\n94947 100000\n86910 100000\n43829 65823\n93968 100000\n50830 76298\n95362 100000\n79749 100000\n14741 22197\n29951 45008\n90658 100000\n13281 19999\n89974 100000\n14332 21586\n25586 38458\n91387 100000\n35039 52674\n18837 28346\n84314 100000\n92430 100000\n69628 100000\n56461 84727\n32044 48185\n85535 100000\n87399 100000\n59774 89732\n95599 100000\n94890 100000\n53209 79860\n55047 82615\n17430 26216\n3244 4891\n25241 37949\n22783 34262\n88400 100000\n46483 69797\n5205 7820\n62248 93433\n46744 70177\n86894 100000\n40686 61118\n32547 48958\n40038 60150\n69409 100000\n3135 4731\n17494 26311\n56920 85421\n62058 93145\n26917 40447\n85140 100000\n53276 79956\n89418 100000\n78882 100000\n57523 86329\n23562 35438\n70626 100000\n74463 100000\n12485 18807\n72392 100000\n48845 73356\n40442 60747\n21722 32677\n19105 28744\n23607 35506\n67240 100000\n73089 100000\n540 820\n20412 30715\n86282 100000\n79065 100000\n74303 100000\n73503 100000\n16544 24873\n16555 24890\n46683 70087\n28279 42487\n86006 100000\n77827 100000\n3756 5636\n40547 60902\n75662 100000\n11139 16774\n61224 91907\n61915 92934\n67487 100000\n96773 100000\n50729 76154\n98146 100000\n16076 24167\n14333 21588\n34856 52412\n79922 100000\n23628 35539\n82235 100000\n38005 57137\n11022 16597\n36498 54889\n20743 31216\n14306 21542\n96620 100000\n12949 19508\n13643 20537\n44570 66901\n65347 98020\n32577 49007\n91522 100000\n65919 98876\n11677 17606\n55693 83596\n84111 100000\n76374 100000\n40999 61579\n80194 100000\n8225 12398\n88558 100000\n3744 5616\n81737 100000\n51895 77900\n50609 75976\n74242 100000\n88793 100000\n79099 100000\n10738 16173\n79203 100000\n58812 88288\n28924 43467\n58712 88131\n97692 100000\n37946 57051\n12339 18594\n88420 100000\n881 1339\n16388 24641\n14343 21602\n99710 100000\n13062 19673\n76559 100000\n25472 38296\n40774 61247\n9906 14910\n4572 6861\n68493 100000\n15137 22781\n87627 100000\n44643 67011\n73554 100000\n1832 2779\n78310 100000\n31452 47299\n55117 82726\n20652 31074\n51416 77183\n62931 94460\n78870 100000\n46923 70454\n87289 100000\n89683 100000\n36587 55018\n96379 100000\n57085 85676\n12929 19476\n3308 4982\n97969 100000\n710 1081\n53312 80011\n95672 100000\n20655 31078\n60300 90511\n67965 100000\n93287 100000\n42455 63765\n79460 100000\n68982 100000\n84369 100000\n9086 13681\n74891 100000\n69905 100000\n16131 24255\n54815 82273\n68149 100000\n72938 100000\n91997 100000\n66106 99169\n434 653\n250 372\n57088 85681\n5711 8570\n36070 54226\n3695 5541\n94801 100000\n9726 14648\n23769 35761\n99180 100000\n63231 94904\n23527 35380\n83327 100000\n20670 31100\n49093 73723\n75514 100000\n31709 47688\n8148 12278\n40476 60797\n4935 7407\n32161 48371\n81573 100000\n82143 100000\n46607 69972\n22095 33240\n1386 2088\n89204 100000\n63484 95271\n14285 21508\n12688 19108\n45187 67835\n42611 64009\n62400 93661\n14647 22055\n13665 20570\n1194 1803\n77613 100000\n91882 100000\n14039 21136\n45796 68755\n93581 100000\n1091 1652\n84393 100000\n87750 100000\n56293 84491\n99959 100000\n2516 3800\n74098 100000\n96633 100000\n47073 70668\n38965 58585\n55574 83415\n61100 91722\n46377 69636\n55931 83950\n27585 41458\n10185 15338\n74558 100000\n89657 100000\n88771 100000\n71573 100000\n54550 81876\n36629 55078\n34986 52600\n59493 89315\n68093 100000\n57185 85827\n51196 76848\n83212 100000\n5096 7646\n71038 100000\n1282 1934\n21392 32177\n44764 67194\n4454 6683\n28893 43416\n33721 50711\n17790 26765\n31496 47362\n53448 80216\n75863 100000\n83645 100000\n92306 100000\n89688 100000\n1453 2189\n67015 100000\n5574 8364\n64371 96574\n8679 13079\n69849 100000\n44502 66798\n72577 100000\n50948 76478\n1948 2942\n75763 100000\n16946 25483\n42989 64564\n44393 66644\n83348 100000\n60064 90160\n33451 50304\n27062 40668\n18745 28207\n52724 79146\n47548 71380\n45823 68796\n36636 55091\n61053 91655\n11722 17679\n54536 81853\n46823 70301\n85944 100000\n16548 24881\n78641 100000\n94388 100000\n17817 26808\n55418 83174\n63345 95069\n30966 46552\n42230 63424\n5724 8588\n1376 2075\n21773 32751\n49466 74280\n59396 89176\n62784 94242\n42739 64196\n15769 23695\n63023 94598\n51132 76752\n65726 98584\n77066 100000\n32794 49337\n72505 100000\n98288 100000\n43317 65055\n28597 42975\n67377 100000\n14305 21541\n8468 12766\n85911 100000\n51551 77378\n24390 36676\n68215 100000\n26664 40057\n39781 59770\n32065 48219\n219 326\n51639 77508\n63182 94835\n48451 72773\n58832 88322\n18288 27521\n32286 48568\n56138 84258\n18531 27882\n77527 100000\n72751 100000\n69427 100000\n61378 92126\n40526 60868\n99940 100000\n20705 31156\n47564 71401\n73734 100000\n30816 46314\n82342 100000\n72241 100000\n76351 100000\n91220 100000\n86553 100000\n88362 100000\n36570 54992\n80295 100000\n51268 76957\n97835 100000\n88628 100000\n77780 100000\n66530 99809\n56613 84951\n80480 100000\n15998 24046\n34469 51823\n17396 26169\n69633 100000\n56519 84814\n81211 100000\n18243 27450\n15136 22780\n72575 100000\n66044 99072\n18852 28371\n71122 100000\n5231 7858\n48939 73492\n9656 14548\n81814 100000\n89938 100000\n45928 68952\n8032 12104\n31410 47232\n5620 8438\n63619 95477\n7857 11837\n59318 89053\n60822 91304\n79339 100000\n8311 12527\n63067 94666\n66867 100000\n61543 92379\n55852 83833\n84064 100000\n10355 15606\n50890 76385\n11322 17048\n94805 100000\n10995 16554\n71637 100000\n58641 88021\n79195 100000\n31530 47414\n88043 100000\n9361 14109\n16842 25317\n27884 41903\n14077 21187\n77302 100000\n62272 93468\n27013 40590\n39145 58841\n50219 75403\n80526 100000\n51356 77094\n15162 22815\n1606 2424\n92969 100000\n36291 54576\n58601 87965\n36613 55060\n24447 36759\n80100 100000\n58975 88530\n65287 97934\n16359 24595\n11333 17067\n33711 50694\n12561 18919\n89438 100000\n95587 100000\n52299 78512\n87624 100000\n39362 59165\n54519 81827\n97870 100000\n73992 100000\n52156 78294\n67386 100000\n87132 100000\n585 889\n99040 100000\n1912 2891\n92450 100000\n78132 100000\n81439 100000\n10178 15328\n29633 44530\n6475 9736\n70454 100000\n1509 2279\n29388 44164\n92125 100000\n75366 100000\n10986 16541\n8210 12374\n98115 100000\n60980 91549\n25916 38955\n86782 100000\n56929 85434\n89893 100000\n79643 100000\n40964 61531\n77833 100000\n34677 52134\n9425 14203\n44110 66240\n57626 86485\n3741 5610\n98576 100000\n31949 48043\n94348 100000\n54989 82532\n47196 70850\n13670 20575\n53108 79707\n35166 52862\n76287 100000\n98688 100000\n63007 94575\n72912 100000\n87788 100000\n92607 100000\n52726 79148\n88268 100000\n64134 96230\n2401 3630\n41697 62631\n23310 35050\n61533 92366\n78035 100000\n83047 100000\n15594 23443\n17127 25752\n21375 32151\n36273 54550\n68231 100000\n49202 73888\n51287 76986\n88995 100000\n67261 100000\n60922 91457\n40085 60223\n6328 9501\n32511 48903\n70232 100000\n46700 70108\n26455 39753\n25924 38963\n52800 79255\n41168 61830\n76240 100000\n2565 3872\n84171 100000\n24353 36621\n43328 65072\n4786 7180\n42559 63922\n95376 100000\n77636 100000\n31469 47323\n40310 60551\n58320 87543\n67747 100000\n35356 53152\n41249 61955\n73438 100000\n42192 63364\n4505 6759\n43830 65825\n33979 51100\n42636 64046\n38883 58459\n86165 100000\n54330 81558\n32131 48318\n1279 1930\n49995 75071\n99260 100000\n86052 100000\n6732 10125\n81856 100000\n47716 71638\n21303 32051\n93429 100000\n52698 79111\n83696 100000\n82177 100000\n39920 59972\n44399 66653\n15703 23598\n13744 20687\n57880 86868\n98621 100000\n22798 34284\n52256 78447\n87808 100000\n94857 100000\n30958 46540\n83294 100000\n39533 59412\n37429 56281\n58492 87797\n5865 8802\n17824 26817\n25352 38115\n51906 77918\n21527 32370\n35593 53504\n60352 90590\n54052 81124\n50235 75428\n10010 15070\n39217 58941\n29777 44750\n90068 100000\n45455 68248\n28346 42590\n2473 3738\n82036 100000\n66062 99103\n90802 100000\n59641 89529\n68597 100000\n84262 100000\n24259 36486\n63966 95980\n37278 56057\n93965 100000\n74306 100000\n3381 5091\n60512 90827\n80531 100000\n1081 1636\n71376 100000\n89140 100000\n15622 23482\n99891 100000\n11196 16859\n6003 9009\n14059 21163\n14602 21989\n7579 11424\n34604 52017\n50207 75384\n73122 100000\n45998 69064\n1036 1570\n79628 100000\n89308 100000\n24318 36570\n19471 29286\n86656 100000\n76354 100000\n55979 84024\n74049 100000\n73653 100000\n81577 100000\n89434 100000\n48979 73550\n96699 100000\n96927 100000\n5980 8977\n565 857\n65120 97686\n3489 5238\n53148 79767\n95179 100000\n12329 18579\n43197 64861\n40856 61370\n6394 9610\n98287 100000\n58135 87257\n84990 100000\n20136 30293\n79098 100000\n46100 69213\n66517 99789\n63488 95275\n74420 100000\n98206 100000\n83693 100000\n50801 76256\n20228 30429\n32194 48422\n79441 100000\n73689 100000\n42838 64340\n98728 100000\n73773 100000\n60469 90765\n99050 100000\n79262 100000\n86384 100000\n28595 42972\n67408 100000\n90198 100000\n10278 15486\n62338 93561\n21119 31770\n18007 27095\n68587 100000\n94886 100000\n80459 100000\n47601 71456\n40018 60122\n49742 74690\n29612 44504\n23970 36062\n78912 100000\n29362 44125\n99113 100000\n94214 100000\n4290 6438\n27414 41204\n45911 68930\n60074 90174\n27514 41351\n40316 60559\n85349 100000\n13302 20032\n45878 68879\n69893 100000\n78118 100000\n40802 61289\n44642 67010\n11278 16983\n29355 44116\n81620 100000\n59303 89030\n52485 78793\n65014 97526\n12988 19565\n77131 100000\n99776 100000\n40347 60607\n96693 100000\n94599 100000\n2306 3484\n19305 29039\n14455 21769\n48063 72176\n54376 81617\n11482 17303\n11785 17771\n89066 100000\n40283 60512\n99578 100000\n44550 66873\n1432 2159\n7616 11480\n76363 100000\n79893 100000\n90862 100000\n6388 9600\n37214 55960\n9970 15010\n41489 62323\n98205 100000\n29184 43856\n33459 50315\n54648 82018\n5564 8350\n147 220\n57048 85617\n34603 52016\n45944 68979\n80994 100000\n17445 26235\n45839 68820\n74854 100000\n26377 39641\n12585 18956\n26478 39788\n71755 100000\n12544 18895\n92942 100000\n73674 100000\n64273 96435\n2509 3790\n89105 100000\n36554 54970\n81698 100000\n52079 78178\n18680 28105\n87744 100000\n57034 85597\n98801 100000\n38149 57351\n52456 78753\n30761 46237\n31036 46659\n81859 100000\n40235 60443\n40546 60900\n18134 27291\n64642 96983\n99085 100000\n81720 100000\n65255 97891\n6429 9667\n94859 100000\n41656 62575\n11499 17329\n51009 76569\n22643 34057\n5720 8582\n15987 24028\n7556 11390\n61712 92631\n49582 74459\n56453 84718\n41307 62040\n94906 100000\n82832 100000\n23103 34743\n30493 45822\n16970 25520\n42314 63553\n73638 100000\n86290 100000\n89342 100000\n11720 17675\n36680 55159\n70984 100000\n99380 100000\n56675 85038\n1438 2168\n89260 100000\n41854 62871\n15572 23408\n34757 52257\n89137 100000\n46753 70190\n94022 100000\n7144 10765\n69605 100000\n80775 100000\n25975 39039\n26800 40270\n99218 100000\n11257 16954\n2131 3210\n27091 40711\n91733 100000\n7898 11898\n1714 2596\n97895 100000\n91154 100000\n87609 100000\n34826 52368\n18559 27918\n19651 29546\n87651 100000\n2566 3873\n3409 5130\n24589 36979\n2786 4207\n42219 63405\n28655 43063\n92739 100000\n79073 100000\n42847 64354\n44910 67415\n16695 25104\n15045 22649\n88744 100000\n86440 100000\n78576 100000\n18041 27151\n40367 60633\n86147 100000\n75178 100000\n58582 87936\n99679 100000\n27615 41500\n63509 95308\n71615 100000\n97108 100000\n53672 80548\n87101 100000\n89988 100000\n51162 76799\n45746 68677\n1190 1798\n35481 53335\n53049 79623\n66130 99208\n12107 18256\n6555 9852\n300 448\n46265 69468\n25303 38044\n78788 100000\n15651 23525\n3657 5486\n6857 10316\n52560 78904\n28260 42458\n31519 47397\n48421 72724\n99791 100000\n85759 100000\n58590 87947\n37233 55991\n8080 12178\n41218 61904\n52399 78670\n27185 40850\n1758 2666\n97657 100000\n88557 100000\n15957 23976\n44340 66570\n67129 100000\n68688 100000\n22112 33264\n40700 61139\n47429 71199\n21794 32783\n17211 25881\n33873 50937\n98373 100000\n90908 100000\n36754 55265\n36350 54666\n32358 48674\n17530 26368\n22000 33091\n59677 89585\n27230 40919\n89217 100000\n45208 67867\n64432 96665\n34335 51627\n40029 60137\n77927 100000\n98803 100000\n61938 92967\n17716 26651\n72218 100000\n85356 100000\n90329 100000\n17077 25681\n60347 90585\n58381 87632\n16831 25302\n38665 58131\n75616 100000\n88919 100000\n73443 100000\n27806 41793\n24549 36921\n19243 28945\n4475 6714\n41925 62977\n22082 33218\n35146 52832\n86963 100000\n85907 100000\n31141 46820\n42475 63795\n57885 86877\n63194 94852\n86907 100000\n57016 85569\n42762 64230\n5573 8362\n53160 79786\n30613 46013\n25780 38754\n96254 100000\n16832 25304\n97619 100000\n2325 3511\n80791 100000\n52801 79257\n57543 86361\n53444 80211\n8402 12667\n63047 94633\n32435 48787\n68811 100000\n10236 15418\n90346 100000\n84258 100000\n53113 79716\n86860 100000\n11287 16997\n58616 87985\n1842 2793\n64957 97446\n892 1355\n56170 84305\n44783 67222\n69656 100000\n88285 100000\n65696 98543\n81210 100000\n44726 67133\n1784 2708\n54263 81453\n19268 28983\n84476 100000\n14768 22239\n40860 61378\n42344 63599\n9142 13765\n77629 100000\n15194 22857\n68434 100000\n93933 100000\n40564 60932\n40001 60097\n58419 87688\n91746 100000\n44339 66569\n40763 61230\n97280 100000\n22235 33447\n28449 42746\n25425 38228\n69387 100000\n34725 52210\n50851 76331\n46638 70017\n40484 60811\n67319 100000\n95659 100000\n84338 100000\n4575 6865\n2536 3829\n66168 99265\n49098 73731\n65298 97950\n91894 100000\n41562 62430\n53669 80543\n94287 100000\n33645 50593\n27740 41691\n99291 100000\n90805 100000\n94126 100000\n24205 36406\n29089 43716\n61699 92612\n74149 100000\n20489 30833\n8360 12601\n52426 78711\n31390 47202\n54849 82321\n6630 9964\n58484 87784\n69256 100000\n19669 29575\n99622 100000\n11704 17649\n14580 21955\n96454 100000\n25275 38003\n11517 17354\n2348 3551\n8120 12234\n4216 6326\n96990 100000\n25601 38481\n34371 51682\n43058 64658\n50489 75798\n26354 39607\n89675 100000\n2305 3482\n80886 100000\n90041 100000\n40784 61263\n42615 64016\n76299 100000\n57392 86134\n15818 23771\n1001 1515\n69446 100000\n42198 63373\n15920 23926\n62433 93709\n9244 13924\n20870 31407\n29788 44765\n46838 70326\n84174 100000\n61736 92662\n70405 100000\n29070 43687\n51759 77690\n76881 100000\n58505 87815\n72156 100000\n75167 100000\n38593 58026\n55835 83809\n32593 49033\n37489 56374\n27149 40799\n36007 54128\n56259 84440\n93815 100000\n90011 100000\n85474 100000\n93370 100000\n2837 4284\n58644 88025\n11136 16769\n99486 100000\n8622 12995\n54155 81285\n91993 100000\n37191 55925\n94040 100000\n93721 100000\n19406 29190\n22137 33301\n65432 98146\n83770 100000\n46218 69392\n35546 53432\n38160 57370\n75185 100000\n38942 58550\n38324 57624\n22735 34192\n66494 99754\n55032 82594\n36198 54426\n16073 24163\n93051 100000\n62788 94247\n99295 100000\n60962 91520\n36599 55037\n63024 94599\n42523 63870\n96203 100000\n52459 78756\n68743 100000\n80163 100000\n76875 100000\n33610 50541\n86996 100000\n42218 63403\n68 102\n44487 66778\n76755 100000\n64803 97229\n81387 100000\n43044 64640\n47385 71134\n64580 96892\n55332 83050\n66208 99326\n54694 82089\n42841 64344\n24922 37472\n27687 41612\n87409 100000\n13828 20822\n35825 53852\n8684 13086\n53624 80478\n21604 32494\n51561 77393\n52371 78627\n92957 100000\n81438 100000\n19544 29394\n19636 29525\n17108 25723\n50140 75278\n25187 37873\n37085 55770\n92833 100000\n3142 4741\n16002 24053\n27269 40981\n4758 7137\n40748 61211\n58234 87402\n43423 65214\n54473 81757\n87402 100000\n1850 2806\n96121 100000\n18171 27344\n19538 29384\n8900 13403\n59483 89301\n91766 100000\n26702 40118\n21939 33003\n37257 56026\n13545 20391\n14664 22082\n76410 100000\n24828 37335\n69031 100000\n83258 100000\n85597 100000\n19592 29462\n66940 100000\n7715 11630\n77853 100000\n34157 51368\n42076 63192\n27988 42060\n60139 90275\n80226 100000\n97181 100000\n45713 68628\n91428 100000\n77851 100000\n59589 89451\n51455 77237\n41175 61841\n91686 100000\n4554 6830\n72968 100000\n43421 65211\n76260 100000\n65654 98478\n69359 100000\n34212 51452\n70234 100000\n82991 100000\n3316 4992\n29393 44172\n96380 100000\n19608 29483\n33533 50427\n72263 100000\n77031 100000\n56831 85290\n15765 23689\n74082 100000\n10795 16257\n13077 19697\n30403 45685\n31968 48072\n65512 98273\n41205 61886\n73905 100000\n45489 68300\n2090 3150\n68885 100000\n45827 68802\n50116 75242\n46140 69272\n99009 100000\n41406 62191\n17503 26324\n43618 65509\n66623 99949\n33175 49903\n90572 100000\n23052 34662\n49501 74335\n69712 100000\n75425 100000\n23909 35979\n17512 26340\n22967 34540\n90777 100000\n74547 100000\n37242 56004\n72952 100000\n98358 100000\n54967 82496\n1773 2690\n38184 57402\n9699 14609\n85634 100000\n30007 45086\n65326 97996\n86611 100000\n54685 82073\n99083 100000\n35688 53647\n34573 51969\n73051 100000\n17414 26195\n69538 100000\n50650 76031\n61822 92793\n33718 50706\n15963 23985\n57893 86890\n81697 100000\n32516 48912\n14459 21774\n99067 100000\n56911 85409\n62616 93986\n1191 1800\n56514 84806\n54788 82234\n1500 2264\n61197 91864\n7781 11731\n60634 91015\n6377 9584\n57585 86427\n40939 61496\n42591 63978\n70103 100000\n98178 100000\n69091 100000\n49318 74060\n9925 14940\n73386 100000\n89808 100000\n50571 75919\n94059 100000\n99770 100000\n60530 90855\n98164 100000\n88479 100000\n66959 100000\n1627 2460\n98616 100000\n55621 83485\n77736 100000\n18825 28328\n22503 33846\n38842 58400\n23415 35213\n52449 78741\n83517 100000\n28250 42443\n97216 100000\n83061 100000\n45809 68776\n51699 77603\n30385 45658\n40576 60953\n87511 100000\n69137 100000\n38615 58060\n49698 74625\n55280 82970\n63962 95975\n77676 100000\n52827 79293\n93316 100000\n21611 32505\n68035 100000\n9104 13708\n89122 100000\n18777 28256\n16917 25436\n23 31\n87860 100000\n97744 100000\n73244 100000\n89702 100000\n16173 24318\n94630 100000\n43153 64797\n34411 51736\n70981 100000\n3461 5197\n78558 100000\n9019 13585\n40010 60109\n31918 47997\n34241 51493\n88783 100000\n42472 63790\n78454 100000\n90125 100000\n52375 78634\n79086 100000\n55381 83120\n48359 72629\n826 1255\n71493 100000\n62386 93637\n7571 11412\n26464 39767\n11165 16813\n28714 43147\n70140 100000\n25340 38098\n6327 9499\n70917 100000\n39254 59001\n3534 5304\n14154 21303\n90409 100000\n34613 52032\n1145 1733\n98929 100000\n92107 100000\n61153 91798\n67705 100000\n89536 100000\n73243 100000\n81754 100000\n98381 100000\n29268 43984\n99938 100000\n15697 23590\n86949 100000\n68985 100000\n67301 100000\n39169 58874\n56166 84298\n84317 100000\n69171 100000\n20752 31229\n84320 100000\n88468 100000\n95788 100000\n97524 100000\n57800 86749\n30444 45747\n86012 100000\n11059 16652\n8265 12456\n72049 100000\n50873 76361\n46876 70389\n54078 81161\n51250 76929\n47622 71489\n10383 15649\n41080 61702\n57765 86699\n39710 59676\n82808 100000\n47388 71138\n43152 64796\n87695 100000\n92281 100000\n38075 57234\n47899 71914\n78330 100000\n99329 100000\n50100 75219\n49577 74451\n93901 100000\n51138 76762\n36122 54306\n66143 99229\n5121 7685\n24151 36328\n56371 84603\n23702 35658\n60555 90890\n3801 5706\n50094 75213\n1488 2244\n82000 100000\n29949 45005\n20587 30980\n55254 82931\n38367 57685\n61242 91936\n43749 65705\n58093 87196\n71760 100000\n92063 100000\n49170 73842\n99677 100000\n46458 69760\n90666 100000\n21714 32665\n33456 50311\n72157 100000\n6760 10168\n74853 100000\n36322 54625\n41903 62944\n68563 100000\n79518 100000\n96658 100000\n1618 2444\n41293 62020\n51518 77330\n1607 2426\n30689 46130\n77960 100000\n21563 32424\n89619 100000\n49514 74356\n3284 4946\n71717 100000\n55903 83907\n52016 78086\n26471 39777\n8425 12701\n51844 77817\n36767 55285\n13579 20440\n95817 100000\n71199 100000\n23877 35929\n47967 72025\n80737 100000\n73415 100000\n32899 49490\n42084 63205\n11331 17063\n83578 100000\n13800 20774\n71798 100000\n60861 91365\n55554 83386\n25701 38634\n65089 97636\n87034 100000\n92384 100000\n93872 100000\n75037 100000\n532 807\n39474 59328\n7002 10544\n35704 53670\n43002 64581\n44716 67120\n23396 35186\n67961 100000\n36143 54337\n18267 27491\n18442 27752\n79664 100000\n68358 100000\n86398 100000\n71398 100000\n95327 100000\n14249 21452\n81743 100000\n79277 100000\n98780 100000\n97082 100000\n90001 100000\n36891 55476\n81300 100000\n21844 32860\n64182 96299\n62799 94265\n19560 29416\n55189 82838\n50713 76127\n35556 53447\n56287 84482\n39182 58891\n38974 58599\n85180 100000\n28861 43375\n33054 49724\n39502 59368\n10572 15920\n83751 100000\n96980 100000\n52570 78917\n54673 82056\n95439 100000\n28047 42140\n33726 50718\n1772 2688\n51647 77521\n98718 100000\n16394 24649\n25649 38556\n19794 29768\n42927 64472\n6876 10345\n67938 100000\n57632 86495\n70336 100000\n84797 100000\n55386 83127\n23759 35745\n78597 100000\n361 542\n69848 100000\n44197 66366\n57640 86507\n76736 100000\n43266 64973\n37625 56573\n48288 72524\n37603 56540\n56446 84710\n84789 100000\n90356 100000\n78881 100000\n3921 5885\n2529 3820\n6399 9619\n41644 62557\n13182 19852\n22272 33503\n62743 94179\n96751 100000\n58427 87698\n71677 100000\n97333 100000\n37238 55998\n40020 60124\n78585 100000\n93565 100000\n68046 100000\n30432 45730\n83443 100000\n95351 100000\n3538 5310\n32428 48776\n86388 100000\n73144 100000\n2511 3793\n64035 96081\n87972 100000\n5547 8328\n63995 96021\n20860 31390\n25371 38146\n27340 41086\n11715 17666\n81964 100000\n28126 42258\n37112 55807\n33692 50664\n41832 62833\n12093 18239\n70675 100000\n16029 24096\n82211 100000\n93483 100000\n60453 90741\n52642 79026\n32947 49566\n51602 77455\n32000 48122\n34858 52414\n6556 9854\n30646 46061\n94078 100000\n59263 88966\n11422 17203\n84917 100000\n24070 36203\n3198 4827\n17993 27075\n99548 100000\n74381 100000\n19327 29069\n6688 10057\n2234 3375\n92441 100000\n77558 100000\n47850 71834\n43689 65612\n43474 65289\n8584 12939\n39592 59497\n68430 100000\n42133 63273\n56687 85057\n82901 100000\n60590 90944\n12709 19138\n8100 12204\n21433 32243\n31166 46859\n93467 100000\n33860 50917\n75679 100000\n52890 79386\n30524 45875\n10783 16239\n73315 100000\n98989 100000\n16997 25555\n60913 91444\n80545 100000\n48655 73075\n7940 11964\n40696 61133\n42160 63315\n77782 100000\n36884 55465\n74792 100000\n72889 100000\n53403 80150\n98363 100000\n60765 91214\n49100 73734\n94789 100000\n22531 33885\n16620 24990\n17742 26690\n76847 100000\n38426 57779\n38565 57988\n33430 50274\n72890 100000\n93208 100000\n33737 50734\n96212 100000\n70773 100000\n13495 20315\n98102 100000\n91127 100000\n24230 36445\n73511 100000\n56 82\n43428 65222\n5105 7659\n54006 81058\n14381 21660\n24455 36770\n85954 100000\n52515 78837\n69576 100000\n99713 100000\n48660 73082\n29171 43839\n27871 41883\n90753 100000\n38627 58079\n2491 3765\n31834 47870\n37016 55665\n86358 100000\n96726 100000\n52640 79022\n10237 15420\n18456 27774\n12694 19116\n9735 14660\n34141 51342\n41323 62063\n63398 95147\n46885 70402\n49488 74314\n7630 11502\n86634 100000\n73729 100000\n64055 96112\n56380 84617\n90869 100000\n1845 2797\n36076 54236\n81087 100000\n88413 100000\n77058 100000\n51303 77013\n46090 69196\n74575 100000\n93854 100000\n81942 100000\n76301 100000\n75499 100000\n19237 28936\n79353 100000\n44300 66514\n84044 100000\n50237 75430\n25615 38505\n67296 100000\n66756 100000\n58404 87664\n36753 55263\n86093 100000\n62178 93324\n47727 71654\n21584 32462\n21511 32348\n10247 15434\n42851 64360\n50483 75789\n49378 74149\n79422 100000\n42923 64467\n26868 40378\n54339 81569\n52409 78685\n21494 32325\n67109 100000\n86608 100000\n66701 100000\n93304 100000\n57899 86900\n85606 100000\n37710 56702\n54589 81932\n91106 100000\n41532 62387\n61052 91653\n33047 49713\n67196 100000\n40986 61561\n14806 22297\n87767 100000\n82855 100000\n12587 18958\n15051 22659\n62717 94136\n46913 70441\n53879 80869\n21279 32014\n92644 100000\n83668 100000\n645 979\n97388 100000\n53424 80182\n72410 100000\n20938 31508\n74930 100000\n44859 67331\n59661 89559\n59772 89730\n53870 80856\n67095 100000\n70703 100000\n47745 71679\n54617 81974\n52532 78866\n70071 100000\n41979 63056\n30555 45922\n73062 100000\n56898 85391\n53543 80360\n49326 74074\n30734 46199\n45786 68738\n47484 71285\n22749 34215\n55843 83820\n6599 9919\n70482 100000\n20865 31400\n89330 100000\n24007 36112\n33997 51130\n98491 100000\n94868 100000\n1479 2229\n38192 57415\n41326 62068\n69523 100000\n12661 19069\n31040 46666\n93399 100000\n67864 100000\n44820 67279\n20929 31496\n65894 98842\n6614 9938\n5450 8187\n35086 52746\n29086 43711\n6559 9858\n16973 25525\n38018 57158\n6246 9371\n98166 100000\n49944 74998\n95 141\n64665 97020\n29686 44613\n95483 100000\n90486 100000\n54208 81361\n85364 100000\n52114 78237\n25378 38154\n97656 100000\n8390 12649\n24398 36688\n49796 74775\n98107 100000\n80195 100000\n47401 71161\n38853 58418\n71609 100000\n98939 100000\n97655 100000\n17193 25851\n87232 100000\n40698 61137\n372 557\n21618 32516\n95047 100000\n98405 100000\n16303 24513\n57703 86606\n96502 100000\n75590 100000\n82777 100000\n90517 100000\n64885 97349\n75547 100000\n67527 100000\n81791 100000\n15695 23588\n58688 88095\n1430 2155\n23786 35786\n80798 100000\n14600 21986\n45989 69050\n22445 33758\n87851 100000\n59056 88652\n75501 100000\n17244 25927\n19627 29513\n91028 100000\n83681 100000\n26338 39582\n2033 3067\n99059 100000\n55446 83219\n90831 100000\n83983 100000\n3616 5420\n42772 64246\n86966 100000\n73082 100000\n54792 82240\n27990 42062\n29885 44908\n84649 100000\n64131 96225\n93958 100000\n40961 61528\n60033 90115\n18941 28500\n10641 16024\n79822 100000\n24901 37445\n5823 8739\n33231 49984\n75971 100000\n82666 100000\n33799 50824\n56849 85319\n97270 100000\n75308 100000\n74598 100000\n91967 100000\n68085 100000\n43004 64584\n49312 74053\n96539 100000\n68115 100000\n48219 72417\n28858 43370\n57601 86450\n95494 100000\n42074 63190\n99048 100000\n23366 35139\n24344 36609\n99764 100000\n64374 96579\n74776 100000\n56201 84353\n46245 69434\n95737 100000\n56547 84856\n2898 4378\n67845 100000\n4539 6810\n94537 100000\n74129 100000\n67640 100000\n16736 25162\n14971 22536\n12911 19452\n37231 55988\n34254 51512\n39153 58853\n20286 30521\n88320 100000\n49856 74863\n26630 40005\n3380 5089\n77903 100000\n63400 95149\n57510 86308\n89872 100000\n64715 97094\n47875 71874\n9041 13617\n50253 75453\n70101 100000\n48269 72493\n67189 100000\n87998 100000\n22216 33418\n31940 48030\n40511 60846\n47954 72007\n92652 100000\n77775 100000\n71261 100000\n15716 23616\n97973 100000\n12971 19539\n35968 54064\n29689 44617\n73137 100000\n83686 100000\n66973 100000\n80944 100000\n47306 71013\n62105 93216\n68465 100000\n51493 77294\n1299 1960\n2261 3417\n36854 55417\n62026 93100\n75693 100000\n46593 69951\n84001 100000\n3399 5115\n32255 48521\n12368 18638\n75095 100000\n13318 20057\n6724 10115\n67927 100000\n21495 32326\n95609 100000\n35418 53239\n63692 95583\n50620 75992\n92616 100000\n49317 74059\n11830 17838\n25218 37917\n2283 3448\n99452 100000\n22454 33773\n33222 49972\n51541 77364\n96265 100000\n2032 3065\n5047 7577\n27872 41884\n30289 45510\n48645 73061\n10208 15372\n66533 99813\n89621 100000\n45053 67639\n48449 72770\n82404 100000\n85583 100000\n7827 11793\n4529 6793\n34441 51783\n64332 96517\n78528 100000\n44492 66784\n54674 82058\n17987 27066\n42493 63823\n69958 100000\n41672 62596\n1859 2819\n52793 79242\n6540 9832\n21533 32378\n66800 100000\n86854 100000\n13259 19962\n2817 4253\n7287 10982\n56588 84916\n73431 100000\n47071 70666\n15477 23269\n97752 100000\n22556 33923\n98573 100000\n62086 93186\n12523 18864\n10069 15163\n11670 17595\n1955 2952\n54869 82348\n29823 44812\n14430 21732\n82273 100000\n33040 49702\n58230 87394\n54084 81171\n17442 26230\n68604 100000\n80486 100000\n52567 78913\n40369 60635\n5912 8877\n86605 100000\n72914 100000\n59168 88820\n13268 19977\n37920 57014\n84398 100000\n67475 100000\n82790 100000\n64461 96712\n93110 100000\n39622 59544\n57075 85661\n58045 87118\n44295 66506\n187 275\n72246 100000\n16809 25270\n36473 54852\n61433 92214\n10996 16556\n37382 56214\n82919 100000\n96477 100000\n84562 100000\n60553 90887\n82649 100000\n22221 33425\n2110 3180\n18920 28468\n64458 96707\n58337 87569\n45275 67975\n75304 100000\n3941 5917\n99134 100000\n15269 22967\n47754 71693\n41351 62105\n47520 71336\n86068 100000\n26788 40254\n16444 24722\n91223 100000\n17358 26112\n87412 100000\n69288 100000\n77216 100000\n95061 100000\n318 476\n5756 8635\n22682 34114\n14457 21772\n41078 61698\n98385 100000\n52 75\n21274 32008\n4241 6361\n54887 82376\n51111 76722\n80910 100000\n50726 76150\n13710 20633\n9043 13620\n72209 100000\n32734 49240\n42771 64244\n94605 100000\n76292 100000\n56360 84585\n19316 29056\n22911 34455\n4159 6242\n43650 65553\n81444 100000\n84968 100000\n25087 37724\n77919 100000\n3599 5399\n55575 83416\n71279 100000\n91464 100000\n17444 26233\n31168 46862\n6255 9387\n61957 92995\n94246 100000\n7626 11495\n11892 17933\n27056 40659\n10975 16525\n17184 25836\n88462 100000\n96145 100000\n24538 36902\n75348 100000\n8806 13265\n97044 100000\n27190 40859\n77007 100000\n45687 68591\n61962 93002\n9263 13955\n9049 13628\n48462 72790\n33089 49776\n19569 29429\n14908 22441\n52708 79125\n58865 88366\n89950 100000\n39898 59938\n33917 51004\n10985 16539\n15964 23987\n43125 64755\n1380 2079\n7282 10975\n84359 100000\n13591 20458\n98538 100000\n97996 100000\n69407 100000\n81134 100000\n7673 11567\n69491 100000\n77317 100000\n10894 16403\n16043 24120\n44100 66225\n40842 61347\n20638 31053\n82834 100000\n72243 100000\n28496 42816\n90479 100000\n5277 7932\n51178 76823\n33495 50367\n86514 100000\n81416 100000\n76894 100000\n22167 33346\n18462 27782\n1731 2622\n86784 100000\n58284 87484\n93725 100000\n3201 4832\n20607 31007\n79799 100000\n80586 100000\n20722 31181\n9002 13563\n59990 90053\n56466 84736\n42961 64522\n73844 100000\n91026 100000\n25409 38201\n12447 18758\n57126 85738\n87294 100000\n64821 97253\n48308 72557\n3905 5859\n49556 74417\n10726 16153\n82433 100000\n74920 100000\n29443 44248\n70891 100000\n48958 73519\n72932 100000\n75532 100000\n64213 96341\n12521 18861\n28113 42240\n9284 13988\n60458 90746\n37044 55705\n73711 100000\n79350 100000\n83464 100000\n7653 11536\n57992 87042\n73132 100000\n59801 89772\n79536 100000\n32824 49380\n81002 100000\n20847 31371\n19078 28707\n77862 100000\n68368 100000\n86574 100000\n21795 32785\n17877 26901\n52865 79349\n62313 93528\n79093 100000\n38695 58175\n20210 30400\n6849 10306\n86447 100000\n84963 100000\n19514 29349\n11095 16703\n50967 76503\n24387 36671\n90306 100000\n65727 98586\n20203 30391\n30012 45094\n5461 8201\n47433 71206\n12386 18666\n74171 100000\n56943 85457\n59331 89074\n85306 100000\n238 353\n13187 19859\n29461 44272\n48573 72958\n9016 13582\n60215 90381\n15960 23980\n68930 100000\n61463 92260\n73017 100000\n72649 100000\n73249 100000\n82767 100000\n76368 100000\n71335 100000\n41536 62392\n44215 66391\n50443 75733\n71764 100000\n97161 100000\n61290 92002\n20515 30873\n29233 43937\n73488 100000\n76941 100000\n40229 60436\n24370 36648\n19132 28781\n12258 18468\n83688 100000\n23059 34674\n71049 100000\n85253 100000\n51234 76904\n99213 100000\n12976 19547\n22249 33470\n83438 100000\n91151 100000\n25845 38848\n59740 89685\n44484 66775\n45000 67561\n24817 37318\n89168 100000\n96313 100000\n29528 44374\n68239 100000\n91705 100000\n73307 100000\n1151 1741\n86890 100000\n6803 10236\n30899 46442\n88300 100000\n5932 8906\n23319 35067\n96724 100000\n28295 42509\n68489 100000\n43570 65434\n65436 98154\n79311 100000\n26944 40483\n86090 100000\n89969 100000\n20790 31285\n4116 6177\n35142 52826\n71875 100000\n59288 89007\n31505 47374\n45366 68116\n29830 44822\n86864 100000\n59708 89635\n70143 100000\n88993 100000\n25292 38027\n59807 89781\n74254 100000\n84303 100000\n83628 100000\n66434 99666\n34682 52142\n42974 64543\n81663 100000\n35068 52720\n48931 73478\n37397 56234\n68491 100000\n56234 84404\n49222 73918\n74080 100000\n84302 100000\n10437 15732\n78897 100000\n96111 100000\n35173 52872\n17009 25574\n60245 90425\n99821 100000\n21724 32679\n86483 100000\n9461 14255\n91672 100000\n14144 21286\n92550 100000\n85391 100000\n82963 100000\n5559 8343\n62079 93176\n5246 7880\n13984 21058\n37982 57105\n91854 100000\n39887 59922\n28289 42501\n97150 100000\n78673 100000\n62446 93728\n30547 45911\n47127 70745\n97872 100000\n43975 66039\n25934 38981\n84872 100000\n92826 100000\n37267 56041\n54703 82103\n4197 6299\n52619 78990\n29740 44700\n87214 100000\n99681 100000\n19127 28775\n99704 100000\n96042 100000\n35835 53869\n62399 93660\n27076 40689\n69642 100000\n98714 100000\n37056 55723\n54438 81708\n689 1048\n32427 48774\n77568 100000\n17832 26828\n36342 54656\n90365 100000\n52747 79177\n75368 100000\n63169 94815\n11414 17189\n79481 100000\n65936 98903\n23717 35680\n38438 57799\n83791 100000\n62812 94287\n92373 100000\n53847 80820\n59777 89738\n47674 71574\n41279 61999\n39845 59864\n7566 11405\n28367 42623\n98409 100000\n51593 77441\n71429 100000\n24491 36831\n80489 100000\n18577 27946\n76571 100000\n83663 100000\n79112 100000\n53186 79824\n8674 13070\n26341 39587\n26223 39409\n58204 87356\n3178 4794\n93656 100000\n99255 100000\n91359 100000\n77005 100000\n86084 100000\n95098 100000\n36169 54380\n69602 100000\n74330 100000\n68034 100000\n15859 23836\n69043 100000\n23855 35896\n22944 34501\n80062 100000\n83474 100000\n28591 42966\n95903 100000\n38016 57155\n34058 51218\n91579 100000\n67480 100000\n78631 100000\n60941 91485\n34857 52413\n52649 79036\n75961 100000\n59035 88621\n32890 49479\n40393 60675\n88222 100000\n59862 89861\n91607 100000\n13506 20328\n21777 32756\n85740 100000\n97165 100000\n33992 51121\n38095 57265\n16762 25201\n84652 100000\n96439 100000\n22078 33211\n74615 100000\n38248 57505\n5645 8473\n11545 17395\n55126 82740\n34683 52143\n93976 100000\n38170 57382\n11898 17941\n85775 100000\n52803 79260\n59593 89457\n33085 49771\n19606 29480\n63497 95288\n32154 48358\n76713 100000\n19469 29283\n23569 35449\n78188 100000\n76230 100000\n18566 27931\n83051 100000\n3058 4614\n27755 41714\n8082 12180\n48924 73469\n47122 70737\n78159 100000\n45561 68404\n86499 100000\n25248 37960\n19940 29989\n85114 100000\n45539 68370\n41081 61703\n10652 16040\n95571 100000\n64207 96334\n79009 100000\n7992 12044\n19575 29440\n47615 71479\n32416 48758\n46582 69940\n6715 10100\n98396 100000\n30706 46156\n14792 22275\n72819 100000\n53106 79704\n93534 100000\n30717 46173\n16440 24716\n42801 64287\n81276 100000\n44044 66142\n92382 100000\n38397 57732\n76180 100000\n9478 14282\n10772 16222\n21137 31796\n61766 92707\n35041 52677\n67755 100000\n66693 100000\n72202 100000\n55482 83274\n66017 99029\n30212 45400\n53995 81042\n1027 1556\n76767 100000\n38232 57481\n20296 30537\n89997 100000\n17455 26251\n96342 100000\n38732 58232\n716 1088\n43115 64740\n99454 100000\n62146 93280\n83714 100000\n3472 5214\n50091 75210\n20575 30960\n66092 99147\n46524 69856\n20978 31568\n2421 3659\n15768 23694\n11476 17294\n60175 90323\n87073 100000\n79752 100000\n38145 57345\n92295 100000\n84192 100000\n34534 51914\n7148 10771\n77948 100000\n35215 52936\n86302 100000\n70118 100000\n50877 76365\n20776 31260\n22106 33255\n73347 100000\n92845 100000\n65368 98051\n41102 61736\n56808 85253\n76957 100000\n40538 60886\n97321 100000\n28872 43389\n17976 27049\n87256 100000\n76028 100000\n15336 23063\n34313 51592\n50617 75988\n75839 100000\n971 1470\n47193 70845\n11987 18075\n40893 61426\n93894 100000\n83783 100000\n41877 62905\n91756 100000\n10905 16420\n7916 11927\n84670 100000\n40423 60719\n85422 100000\n34155 51365\n79724 100000\n71375 100000\n39645 59579\n28636 43038\n96550 100000\n70319 100000\n1978 2987\n41230 61925\n97924 100000\n23167 34838\n67012 100000\n39008 58652\n29179 43850\n20007 30094\n19816 29802\n58618 87989\n73787 100000\n94120 100000\n90473 100000\n54074 81157\n76807 100000\n17470 26273\n6674 10034\n39956 60026\n6755 10162\n38998 58638\n56565 84883\n3642 5462\n28211 42379\n8696 13101\n48519 72882\n26598 39959\n40403 60690\n51681 77576\n30637 46048\n41972 63046\n80809 100000\n18002 27087\n94936 100000\n70182 100000\n88332 100000\n85737 100000\n62484 93780\n68460 100000\n97230 100000\n51469 77260\n8171 12311\n87386 100000\n69768 100000\n33042 49706\n72479 100000\n25117 37768\n81922 100000\n43633 65530\n66960 100000\n92917 100000\n90288 100000\n29954 45011\n17936 26988\n30037 45130\n34554 51940\n48694 73138\n25937 38985\n54511 81816\n68714 100000\n12905 19443\n3900 5849\n59728 89666\n89945 100000\n27721 41663\n20193 30376\n28805 43287\n36919 55517\n84092 100000\n74916 100000\n23814 35830\n75157 100000\n83728 100000\n31904 47976\n33315 50103\n39661 59603\n97397 100000\n79672 100000\n96732 100000\n71471 100000\n3151 4753\n18001 27086\n37262 56034\n51438 77214\n15956 23975\n46389 69654\n52939 79464\n76466 100000\n78759 100000\n88847 100000\n69011 100000\n51619 77477\n58885 88397\n46361 69612\n25758 38720\n90073 100000\n14695 22126\n31500 47368\n23379 35162\n43731 65674\n17162 25805\n88340 100000\n25704 38638\n41408 62195\n87650 100000\n75573 100000\n68485 100000\n77395 100000\n65800 98700\n26769 40225\n66451 99693\n28827 43323\n46869 70378\n56025 84098\n31572 47480\n42024 63117\n80535 100000\n44931 67450\n38198 57426\n84071 100000\n80421 100000\n72903 100000\n95091 100000\n84330 100000\n88026 100000\n92538 100000\n41900 62939\n59173 88828\n37857 56924\n68294 100000\n62518 93831\n40448 60757\n86512 100000\n87537 100000\n96444 100000\n28918 43458\n3928 5895\n81562 100000\n49710 74643\n28220 42394\n3092 4667\n929 1410\n61136 91773\n93330 100000\n81883 100000\n87736 100000\n80280 100000\n31195 46903\n61998 93051\n79068 100000\n31639 47582\n12362 18627\n89479 100000\n61687 92591\n24652 37077\n1097 1661\n44091 66214\n65573 98357\n1418 2136\n75750 100000\n78293 100000\n56335 84550\n13734 20671\n70949 100000\n94349 100000\n27597 41475\n71372 100000\n48821 73319\n1330 2006\n7809 11767\n76883 100000\n23954 36041\n48500 72853\n96617 100000\n29390 44167\n51521 77333\n84871 100000\n1476 2224\n9689 14593\n56938 85449\n32030 48162\n51505 77311\n51500 77303\n42490 63819\n43616 65506\n85715 100000\n91965 100000\n93957 100000\n73356 100000\n80679 100000\n90440 100000\n16640 25018\n7880 11873\n202 299\n45546 68382\n64566 96869\n60310 90527\n49244 73955\n97368 100000\n84276 100000\n10665 16059\n71028 100000\n89166 100000\n52003 78066\n9141 13763\n28588 42962\n98765 100000\n28820 43312\n15309 23022\n45496 68310\n50674 76070\n56133 84251\n69408 100000\n2652 4007\n95538 100000\n53825 80784\n67563 100000\n30935 46501\n99024 100000\n69564 100000\n55769 83709\n76481 100000\n99385 100000\n3694 5540\n92491 100000\n93308 100000\n45097 67702\n70360 100000\n1009 1527\n3324 5005\n10456 15758\n66279 99434\n50008 75092\n21035 31646\n97943 100000\n61940 92970\n37677 56654\n14774 22245\n68095 100000\n79253 100000\n51028 76595\n15126 22766\n54098 81195\n88125 100000\n56784 85215\n19153 28812\n67911 100000\n62296 93504\n26890 40409\n31876 47936\n2780 4198\n86761 100000\n33197 49935\n1369 2064\n48631 73041\n66657 100000\n27928 41968\n97450 100000\n72123 100000\n41012 61598\n13162 19825\n30919 46475\n80073 100000\n82371 100000\n65322 97989\n61531 92364\n68582 100000\n7367 11099\n88573 100000\n62346 93575\n27982 42053\n33334 50133\n76796 100000\n21304 32052\n82656 100000\n39510 59379\n87915 100000\n87592 100000\n17085 25692\n37497 56384\n33699 50674\n34119 51311\n85071 100000\n58017 87079\n95557 100000\n580 882\n75335 100000\n63320 95031\n3495 5247\n97502 100000\n74103 100000\n15455 23236\n65155 97740\n31047 46676\n43092 64707\n50050 75151\n47824 71796\n61326 92054\n64466 96717\n45233 67906\n40578 60955\n67366 100000\n86395 100000\n47321 71039\n31472 47328\n20493 30839\n98759 100000\n64418 96645\n43720 65656\n18385 27665\n86920 100000\n67769 100000\n90714 100000\n50708 76120\n13055 19663\n78899 100000\n81579 100000\n50129 75261\n58799 88269\n87544 100000\n84076 100000\n69703 100000\n63697 95590\n10262 15458\n80086 100000\n27567 41429\n65221 97837\n53768 80695\n33352 50158\n78379 100000\n64586 96900\n27251 40953\n56200 84352\n6130 9203\n73447 100000\n92168 100000\n70788 100000\n5851 8780\n10941 16478\n13796 20768\n23364 35137\n15239 22926\n62349 93579\n53635 80492\n52331 78563\n95985 100000\n48461 72789\n97683 100000\n44365 66606\n93420 100000\n68058 100000\n30108 45238\n83911 100000\n39674 59620\n88895 100000\n34872 52433\n34117 51309\n88739 100000\n43009 64591\n87983 100000\n20850 31376\n12037 18151\n1276 1925\n76638 100000\n87567 100000\n56897 85389\n40182 60370\n81753 100000\n40552 60910\n70933 100000\n90783 100000\n30906 46455\n14558 21920\n55487 83280\n55808 83770\n66710 100000\n83766 100000\n60592 90947\n54000 81050\n6033 9056\n14706 22143\n93991 100000\n87327 100000\n71170 100000\n28992 43571\n50488 75797\n13159 19821\n44308 66526\n80176 100000\n21154 31823\n23317 35063\n10377 15640\n28996 43578\n75534 100000\n11771 17753\n57298 85995\n45260 67953\n55436 83204\n7469 11255\n70050 100000\n65285 97931\n32892 49481\n14737 22192\n50267 75472\n32555 48969\n45273 67972\n76498 100000\n29358 44121\n5975 8970\n11416 17192\n83623 100000\n25436 38246\n55950 83979\n60851 91351\n71092 100000\n38612 58055\n71305 100000\n95358 100000\n73993 100000\n93354 100000\n40790 61271\n20350 30621\n95715 100000\n55713 83626\n25700 38633\n58387 87640\n44973 67519\n58807 88282\n37715 56710\n61891 92897\n19442 29240\n31403 47221\n46374 69632\n26000 39075\n71504 100000\n64606 96932\n7814 11774\n42176 63342\n5003 7507\n258 386\n97863 100000\n2471 3736\n68533 100000\n13534 20372\n96828 100000\n10039 15117\n72764 100000\n53393 80136\n96389 100000\n48565 72949\n40823 61322\n78134 100000\n98125 100000\n3403 5120\n74693 100000\n37614 56556\n29624 44519\n66662 100000\n67951 100000\n62733 94163\n17538 26382\n54874 82357\n49761 74722\n56339 84554\n60167 90312\n76488 100000\n73577 100000\n89869 100000\n80109 100000\n59812 89789\n88474 100000\n12692 19113\n29679 44602\n73303 100000\n63987 96008\n67338 100000\n49788 74764\n13738 20677\n99425 100000\n81095 100000\n54370 81610\n83620 100000\n58142 87266\n55624 83489\n77440 100000\n64014 96048\n85267 100000\n319 478\n12613 18995\n13999 21079\n33062 49737\n89940 100000\n69060 100000\n79595 100000\n42058 63167\n9429 14210\n4644 6969\n14984 22556\n4689 7034\n99478 100000\n64906 97380\n93640 100000\n39127 58818\n67437 100000\n4025 6046\n98528 100000\n25984 39052\n90683 100000\n69353 100000\n63598 95447\n29083 43706\n52662 79056\n78936 100000\n49766 74732\n66700 100000\n8220 12389\n57287 85978\n46061 69153\n82109 100000\n3781 5674\n50357 75605\n55419 83175\n1866 2830\n95185 100000\n70880 100000\n2783 4203\n15752 23667\n12861 19371\n18020 27118\n6770 10184\n46656 70044\n52555 78898\n36390 54730\n4715 7075\n31014 46624\n2148 3240\n69799 100000\n3230 4871\n48239 72448\n14950 22504\n26107 39235\n54797 82247\n33374 50189\n6048 9079\n26825 40312\n87187 100000\n96052 100000\n41148 61798\n55485 83278\n489 736\n73610 100000\n65591 98384\n92668 100000\n29617 44510\n24253 36478\n56451 84715\n55307 83014\n29755 44720\n1114 1685\n9687 14590\n27270 40982\n51217 76878\n28252 42446\n22981 34558\n51403 77168\n16247 24432\n85690 100000\n16063 24146\n91507 100000\n16604 24964\n32791 49332\n79906 100000\n57946 86968\n54223 81384\n99306 100000\n9444 14232\n84023 100000\n18714 28158\n45439 68223\n14189 21361\n5793 8690\n16684 25089\n91513 100000\n37189 55922\n61099 91721\n21216 31917\n63325 95040\n80658 100000\n32047 48190\n19052 28669\n68351 100000\n12786 19257\n52837 79310\n93741 100000\n13024 19618\n95761 100000\n46247 69438\n94244 100000\n43234 64923\n14815 22311\n38672 58142\n99034 100000\n40649 61062\n51154 76785\n71864 100000\n83619 100000\n14399 21686\n22630 34037\n29726 44679\n28478 42785\n24089 36230\n79454 100000\n69177 100000\n15973 24003\n16780 25228\n43819 65808\n93956 100000\n68075 100000\n22490 33827\n40695 61132\n33644 50592\n76158 100000\n66578 99883\n27738 41689\n14851 22362\n30992 46592\n7765 11711\n44636 67002\n54992 82536\n90925 100000\n39425 59256\n69005 100000\n79738 100000\n4353 6530\n95575 100000\n71649 100000\n61490 92301\n30271 45488\n90649 100000\n52006 78070\n23315 35059\n3281 4942\n99502 100000\n48744 73213\n651 986\n85020 100000\n38527 57933\n94442 100000\n89941 100000\n87352 100000\n77329 100000\n68725 100000\n37680 56657\n36305 54596\n14973 22539\n69510 100000\n39151 58851\n46277 69488\n90074 100000\n93978 100000\n75226 100000\n99871 100000\n66593 99902\n56205 84361\n45049 67632\n16979 25532\n34852 52406\n61840 92820\n17686 26605\n95658 100000\n68882 100000\n9795 14751\n6132 9205\n3862 5800\n5495 8254\n35927 54004\n4369 6553\n51022 76586\n50199 75369\n18382 27661\n99521 100000\n32014 48139\n5303 7975\n45080 67675\n25147 37812\n73170 100000\n28754 43207\n62420 93691\n41152 61805\n36153 54353\n99785 100000\n2379 3598\n27336 41080\n81957 100000\n36464 54839\n2986 4504\n31931 48016\n64428 96658\n56235 84406\n20692 31138\n35226 52954\n87842 100000\n89870 100000\n38761 58277\n55615 83475\n50485 75792\n24193 36387\n64923 97399\n89809 100000\n74447 100000\n63369 95104\n52429 78714\n99565 100000\n38700 58184\n57735 86656\n7685 11585\n2431 3675\n70372 100000\n28773 43237\n56003 84060\n34047 51201\n65020 97533\n60504 90817\n60440 90722\n46264 69466\n95820 100000\n2600 3924\n72749 100000\n77722 100000\n70443 100000\n45429 68208\n13088 19712\n11234 16919\n72607 100000\n22722 34175\n24036 36156\n99686 100000\n26489 39803\n11098 16708\n54889 82380\n87377 100000\n36234 54488\n37569 56492\n53680 80558\n70237 100000\n5689 8536\n71912 100000\n278 416\n83493 100000\n33134 49842\n39419 59246\n28171 42326\n83635 100000\n98605 100000\n41092 61721\n83972 100000\n33452 50305\n91162 100000\n52069 78165\n56990 85526\n6584 9895\n98382 100000\n77814 100000\n34384 51701\n52948 79477\n40314 60556\n54177 81318\n84887 100000\n43531 65374\n53034 79600\n12739 19188\n9027 13596\n92415 100000\n4656 6989\n55203 82855\n52159 78300\n66656 99998\n99051 100000\n45718 68634\n46611 69978\n25148 37813\n73304 100000\n68781 100000\n42546 63903\n11055 16647\n96154 100000\n71775 100000\n51514 77324\n56202 84355\n14574 21944\n40305 60542\n16184 24335\n61044 91640\n51891 77893\n7007 10554\n65389 98081\n92436 100000\n2568 3877\n28756 43209\n71301 100000\n85444 100000\n90280 100000\n59649 89541\n92502 100000\n9312 14032\n36481 54863\n69268 100000\n37555 56473\n10216 15385\n41634 62542\n78716 100000\n50264 75469\n95450 100000\n22499 33841\n85952 100000\n49701 74628\n67186 100000\n92212 100000\n58114 87226\n57651 86526\n74506 100000\n32833 49392\n58433 87708\n43756 65714\n41520 62369\n29944 44995\n65558 98334\n20584 30974\n71724 100000\n86843 100000\n26467 39771\n7690 11593\n92764 100000\n80464 100000\n92907 100000\n6681 10046\n92037 100000\n86220 100000\n58013 87074\n70299 100000\n67715 100000\n21904 32951\n58188 87333\n26905 40429\n8710 13120\n5148 7730\n69405 100000\n61379 92128\n80815 100000\n29326 44074\n58974 88528\n56262 84443\n83099 100000\n95660 100000\n94115 100000\n26277 39489\n8048 12126\n30614 46015\n94811 100000\n21386 32169\n49427 74222\n84605 100000\n36612 55058\n39159 58862\n57616 86470\n20186 30366\n44904 67405\n2697 4074\n93327 100000\n32440 48795\n7664 11554\n66344 99530\n75717 100000\n5540 8317\n89909 100000\n8371 12623\n71182 100000\n22716 34166\n73572 100000\n50619 75991\n91776 100000\n35878 53930\n2724 4117\n11429 17215\n35053 52697\n34234 51483\n69416 100000\n51106 76714\n14914 22451\n64531 96818\n44258 66449\n44362 66602\n40009 60108\n26605 39968\n4739 7110\n34589 51995\n17431 26218\n52187 78342\n59858 89854\n7704 11614\n21057 31681\n17713 26646\n96185 100000\n6090 9140\n52059 78150\n94918 100000\n53658 80527\n39105 58789\n53385 80124\n69319 100000\n52008 78074\n34649 52089\n10581 15932\n55058 82628\n6275 9419\n1079 1632\n48469 72802\n35987 54094\n25559 38417\n80707 100000\n72500 100000\n17420 26202\n40785 61264\n77806 100000\n52873 79360\n30675 46108\n83247 100000\n86985 100000\n19468 29281\n9473 14273\n26291 39510\n43747 65701\n86368 100000\n68733 100000\n29831 44824\n88152 100000\n1162 1757\n64144 96243\n64985 97484\n45699 68607\n95496 100000\n27874 41888\n77492 100000\n77342 100000\n38386 57712\n80546 100000\n13089 19714\n34609 52026\n10520 15850\n11766 17744\n28258 42455\n14563 21926\n74861 100000\n93990 100000\n34225 51470\n43526 65366\n31318 47089\n37812 56853\n88334 100000\n54566 81899\n92056 100000\n96281 100000\n1636 2475\n56061 84149\n86246 100000\n18025 27124\n66063 99105\n2985 4503\n8492 12799\n3192 4818\n86534 100000\n67644 100000\n50625 75998\n48324 72582\n11967 18048\n70803 100000\n79054 100000\n94049 100000\n95850 100000\n33000 49646\n69865 100000\n25476 38302\n26158 39313\n24295 36537\n57617 86472\n4482 6725\n76670 100000\n97790 100000\n14163 21317\n14705 22141\n23422 35224\n57265 85945\n10567 15912\n50662 76052\n32984 49621\n92931 100000\n22120 33276\n48202 72392\n4491 6738\n61892 92899\n72181 100000\n7885 11879\n28124 42255\n39861 59885\n86343 100000\n68118 100000\n40983 61558\n37269 56044\n85207 100000\n79430 100000\n88415 100000\n57974 87012\n22825 34328\n45984 69043\n92085 100000\n70915 100000\n53591 80428\n92674 100000\n98501 100000\n55982 84028\n69769 100000\n26284 39501\n47619 71485\n96256 100000\n58028 87095\n4945 7422\n50631 76005\n80782 100000\n85672 100000\n7731 11657\n88226 100000\n79103 100000\n12796 19274\n99333 100000\n55330 83048\n30798 46286\n13724 20656\n42773 64247\n245 364\n98892 100000\n35967 54062\n18040 27150\n79265 100000\n52918 79432\n40248 60461\n97284 100000\n92480 100000\n53872 80860\n52932 79452\n71042 100000\n18705 28143\n76307 100000\n21000 31599\n94521 100000\n60313 90533\n43717 65651\n64392 96605\n85475 100000\n61450 92239\n30266 45480\n8862 13344\n19593 29464\n62729 94156\n62231 93408\n97024 100000\n46330 69566\n27961 42022\n77295 100000\n71667 100000\n16475 24765\n47725 71651\n93362 100000\n30158 45314\n54492 81787\n38939 58545\n92784 100000\n88508 100000\n15195 22859\n59042 88631\n38224 57468\n52736 79163\n39904 59949\n87726 100000\n74701 100000\n5116 7677\n56028 84103\n55319 83032\n32842 49406\n86945 100000\n28359 42610\n66070 99115\n74457 100000\n77490 100000\n67335 100000\n16348 24578\n68535 100000\n31838 47876\n95321 100000\n98887 100000\n95473 100000\n80867 100000\n80188 100000\n25256 37974\n95434 100000\n45634 68511\n17706 26635\n33260 50028\n95827 100000\n46052 69143\n10032 15105\n98757 100000\n16118 24235\n9610 14476\n69929 100000\n15667 23548\n40120 60273\n56717 85105\n36601 55041\n1160 1755\n62887 94396\n65731 98592\n57591 86435\n3840 5762\n62223 93395\n26152 39304\n36646 55109\n92777 100000\n54401 81653\n67641 100000\n59226 88910\n51850 77828\n94615 100000\n98330 100000\n36194 54420\n9629 14503\n28722 43159\n19895 29922\n60200 90357\n17390 26158\n41443 62247\n58637 88014\n52408 78683\n15604 23458\n22280 33518\n71789 100000\n13711 20635\n68632 100000\n74143 100000\n64494 96760\n7281 10973\n21056 31679\n22668 34094\n32137 48327\n27249 40949\n61710 92628\n51243 76919\n84122 100000\n91550 100000\n41624 62527\n20908 31465\n60676 91080\n98542 100000\n68045 100000\n81121 100000\n60926 91462\n25773 38744\n54852 82325\n56112 84220\n40019 60123\n65328 97998\n75434 100000\n97653 100000\n52817 79279\n75097 100000\n32389 48718\n5013 7524\n72485 100000\n74078 100000\n89725 100000\n46207 69376\n35729 53709\n41571 62444\n16749 25181\n45058 67647\n58902 88422\n77575 100000\n14794 22278\n74610 100000\n86992 100000\n82641 100000\n78436 100000\n20665 31092\n17499 26319\n61152 91797\n57113 85719\n1939 2930\n40414 60706\n2517 3801\n81015 100000\n76362 100000\n55854 83836\n97910 100000\n71744 100000\n29273 43993\n46408 69682\n18889 28423\n81362 100000\n11588 17465\n56271 84460\n7710 11623\n42618 64020\n66698 100000\n44982 67532\n915 1389\n93928 100000\n47757 71698\n63682 95568\n69720 100000\n6543 9835\n90178 100000\n70178 100000\n15172 22829\n97745 100000\n62511 93819\n59748 89698\n83146 100000\n93944 100000\n28641 43045\n41061 61671\n72573 100000\n31637 47580\n60329 90558\n9032 13602\n6926 10420\n14192 21365\n26272 39482\n38745 58253\n99224 100000\n39769 59755\n397 595\n71246 100000\n45665 68556\n5432 8160\n42541 63894\n29496 44326\n23048 34656\n22424 33725\n98422 100000\n49912 74949\n36084 54250\n24579 36964\n29477 44296\n62131 93257\n48550 72926\n52680 79084\n65550 98325\n86464 100000\n9061 13649\n9488 14296\n70569 100000\n3703 5553\n69363 100000\n65355 98031\n49928 74973\n33051 49719\n14595 21977\n82377 100000\n55685 83582\n95744 100000\n89978 100000\n78448 100000\n9968 15006\n34659 52105\n78747 100000\n53502 80296\n41147 61797\n16608 24971\n96690 100000\n95227 100000\n66103 99165\n71566 100000\n44199 66369\n9842 14813\n5768 8651\n6507 9782\n43082 64694\n91360 100000\n44296 66507\n5996 9000\n60674 91077\n84641 100000\n97353 100000\n26427 39716\n46943 70480\n77235 100000\n7155 10783\n51163 76801\n68655 100000\n53442 80208\n92934 100000\n4325 6487\n33843 50894\n79268 100000\n67183 100000\n32703 49194\n66567 99867\n88467 100000\n49602 74490\n80832 100000\n42380 63651\n74888 100000\n82251 100000\n38351 57666\n35528 53406\n35489 53345\n34672 52125\n17958 27018\n11529 17372\n21789 32774\n66023 99037\n82074 100000\n15303 23013\n54925 82433\n15271 22970\n66739 100000\n54582 81921\n53648 80512\n10835 16314\n83330 100000\n82683 100000\n11763 17740\n30023 45112\n88997 100000\n45022 67594\n84744 100000\n25383 38162\n57785 86730\n91173 100000\n20032 30135\n7075 10657\n57997 87052\n59752 89705\n51742 77665\n89468 100000\n81656 100000\n14848 22358\n38888 58465\n31915 47992\n65235 97858\n9799 14757\n54022 81080\n99838 100000\n11676 17604\n77441 100000\n55238 82903\n24682 37120\n66979 100000\n53818 80774\n85620 100000\n64986 97485\n813 1234\n52105 78220\n41059 61667\n31125 46796\n70136 100000\n30407 45691\n52594 78956\n50467 75767\n786 1191\n64220 96351\n10632 16010\n2678 4043\n92987 100000\n52857 79337\n93414 100000\n29149 43803\n90420 100000\n37223 55975\n29564 44432\n81124 100000\n65440 98160\n61244 91940\n31065 46702\n59103 88721\n86462 100000\n6444 9693\n75291 100000\n19142 28796\n52577 78927\n61165 91816\n75690 100000\n24367 36645\n30354 45608\n77479 100000\n91625 100000\n657 996\n98254 100000\n62049 93133\n50141 75280\n93951 100000\n40100 60244\n16413 24677\n7686 11587\n73583 100000\n75030 100000\n473 715\n74748 100000\n26523 39850\n87948 100000\n19630 29516\n10735 16168\n43404 65186\n72347 100000\n84923 100000\n33934 51030\n75880 100000\n24124 36284\n3434 5163\n42182 63350\n90625 100000\n1108 1677\n29044 43648\n5008 7517\n89230 100000\n8627 13002\n85558 100000\n77981 100000\n78036 100000\n82384 100000\n21429 32236\n95561 100000\n92248 100000\n47046 70632\n86365 100000\n6471 9731\n71811 100000\n28234 42418\n41504 62348\n58179 87322\n62160 93299\n54255 81440\n48605 73004\n63660 95538\n77167 100000\n28854 43364\n47139 70761\n80544 100000\n81238 100000\n47186 70833\n77939 100000\n62189 93339\n29262 43974\n89584 100000\n73218 100000\n5195 7805\n9554 14391\n23674 35611\n92962 100000\n93595 100000\n83005 100000\n36324 54628\n8241 12424\n11182 16838\n48018 72101\n39421 59248\n36676 55154\n14314 21557\n69273 100000\n1153 1744\n16457 24742\n99418 100000\n5355 8048\n32551 48963\n11431 17218\n2052 3091\n16496 24797\n29699 44634\n4773 7161\n27602 41483\n70276 100000\n61739 92668\n25212 37909\n38840 58397\n39396 59217\n90975 100000\n17399 26173\n50087 75205\n37479 56359\n99271 100000\n32153 48356\n11384 17139\n30991 46591\n58172 87314\n10837 16317\n9247 13930\n59913 89935\n94003 100000\n95160 100000\n48270 72494\n3106 4688\n41107 61744\n89064 100000\n57065 85645\n27503 41332\n24912 37461\n25131 37787\n2413 3647\n84908 100000\n72470 100000\n41223 61913\n40153 60324\n83684 100000\n23327 35078\n6700 10074\n18716 28162\n62620 93991\n29525 44369\n26881 40396\n3929 5897\n47660 71548\n66832 100000\n75555 100000\n95796 100000\n76985 100000\n24849 37369\n16252 24438\n86904 100000\n82242 100000\n13675 20584\n41973 63047\n68160 100000\n33664 50623\n61733 92658\n67824 100000\n42172 63335\n36024 54152\n78359 100000\n83759 100000\n1542 2331\n14565 21929\n98789 100000\n34094 51272\n83638 100000\n26399 39673\n8562 12906\n73295 100000\n70056 100000\n54301 81515\n9804 14764\n40762 61229\n32598 49040\n81706 100000\n65568 98348\n30269 45484\n20944 31518\n50517 75840\n10130 15256\n36824 55367\n98264 100000\n21426 32230\n14466 21784\n5378 8082\n12600 18976\n71494 100000\n56164 84296\n40849 61358\n24628 37038\n1514 2287\n67946 100000\n62933 94463\n73237 100000\n91010 100000\n89928 100000\n77666 100000\n46720 70137\n38281 57555\n77610 100000\n15753 23669\n79668 100000\n36397 54739\n16463 24751\n61888 92893\n84977 100000\n4683 7025\n75666 100000\n61532 92365\n43345 65098\n40716 61161\n45153 67784\n87738 100000\n2021 3050\n62861 94357\n6894 10371\n23304 35040\n83477 100000\n77098 100000\n47143 70767\n41300 62029\n80078 100000\n4115 6176\n10825 16298\n807 1225\n31357 47151\n81770 100000\n978 1482\n69488 100000\n20904 31458\n28177 42334\n75511 100000\n13880 20901\n43725 65665\n52717 79137\n70528 100000\n58128 87247\n57518 86321\n39929 59986\n34653 52095\n72026 100000\n88510 100000\n241 358\n20294 30533\n65765 98644\n94517 100000\n97324 100000\n46854 70354\n29248 43954\n88248 100000\n47013 70583\n14218 21407\n96118 100000\n54429 81696\n18591 27970\n15463 23248\n54580 81918\n17562 26416\n86649 100000\n46058 69149\n51506 77312\n81236 100000\n68779 100000\n11668 17591\n71264 100000\n64404 96623\n23296 35029\n73491 100000\n17637 26532\n89057 100000\n25945 38997\n16415 24680\n45424 68201\n20239 30449\n5903 8863\n74590 100000\n25912 38949\n41533 62389\n62253 93441\n15068 22686\n2450 3703\n12064 18190\n28994 43574\n78204 100000\n38524 57927\n18750 28214\n29625 44520\n14742 22198\n33807 50835\n37203 55945\n56628 84972\n1815 2754\n14128 21260\n97673 100000\n48592 72986\n94342 100000\n56917 85417\n57730 86648\n86257 100000\n49054 73662\n68682 100000\n63700 95594\n1963 2967\n11533 17377\n21265 31993\n16508 24818\n13533 20370\n44303 66518\n83224 100000\n92596 100000\n59667 89570\n53332 80044\n37243 56005\n75654 100000\n91395 100000\n63232 94906\n12263 18476\n24790 37281\n51324 77048\n67234 100000\n58903 88424\n77331 100000\n39238 58975\n32713 49210\n59142 88779\n47869 71865\n95146 100000\n11406 17174\n15878 23865\n27781 41756\n4744 7118\n30132 45274\n5445 8181\n99958 100000\n55227 82888\n25069 37696\n29037 43637\n90827 100000\n53549 80368\n51635 77503\n35963 54056\n68942 100000\n3697 5544\n62899 94415\n9503 14318\n14623 22019\n27019 40601\n1520 2297\n87507 100000\n37521 56423\n31579 47492\n94832 100000\n21686 32622\n38407 57748\n66321 99494\n50171 75325\n10828 16303\n921 1398\n24582 36968\n31305 47070\n50128 75259\n14658 22074\n56248 84424\n42248 63450\n74696 100000\n31897 47965\n74925 100000\n74973 100000\n88708 100000\n73663 100000\n12502 18833\n58268 87458\n23626 35536\n39371 59179\n52546 78886\n38816 58359\n96530 100000\n1767 2679\n66634 99967\n96048 100000\n72945 100000\n87853 100000\n7310 11013\n15140 22786\n85056 100000\n35049 52691\n98554 100000\n26334 39576\n11725 17683\n50080 75194\n43699 65628\n22673 34101\n35067 52718\n58408 87669\n21885 32924\n13945 21001\n6640 9982\n48188 72368\n25674 38595\n60649 91037\n17333 26073\n62964 94506\n15246 22936\n61554 92395\n10333 15571\n43308 65040\n2096 3158\n23544 35405\n45564 68408\n34528 51905\n99640 100000\n20094 30232\n91496 100000\n31266 47012\n11161 16807\n43019 64606\n18503 27842\n54119 81231\n24293 36535\n64508 96779\n59839 89827\n12208 18394\n68764 100000\n84468 100000\n51808 77761\n40280 60508\n28385 42651\n97938 100000\n86124 100000\n83859 100000\n16636 25013\n46724 70144\n13625 20510\n11735 17700\n19021 28622\n44338 66568\n86076 100000\n9095 13695\n6808 10244\n54500 81800\n65270 97911\n80673 100000\n43523 65361\n69403 100000\n4062 6104\n46899 70422\n40541 60891\n64997 97503\n11485 17308\n25150 37817\n51875 77868\n81910 100000\n86288 100000\n21833 32844\n356 534\n67685 100000\n39163 58868\n29833 44827\n55283 82976\n18191 27374\n35763 53761\n16645 25027\n82581 100000\n88813 100000\n44345 66577\n31678 47642\n72454 100000\n44068 66178\n63840 95798\n53849 80823\n37058 55726\n67124 100000\n47988 72056\n17971 27040\n65508 98267\n89442 100000\n60023 90101\n43211 64881\n56947 85464\n44844 67311\n78661 100000\n41246 61949\n69231 100000\n70453 100000\n59958 90005\n5760 8639\n3169 4782\n93542 100000\n91486 100000\n95290 100000\n27012 40588\n17387 26153\n59182 88842\n4969 7453\n3517 5278\n82016 100000\n77829 100000\n2754 4160\n84277 100000\n60050 90142\n51819 77780\n92462 100000\n90467 100000\n40468 60786\n92806 100000\n86221 100000\n1530 2313\n40914 61457\n27440 41245\n73860 100000\n17658 26563\n6659 10013\n18105 27248\n71332 100000\n51297 77001\n37798 56835\n41612 62505\n36480 54862\n17984 27061\n66192 99298\n2481 3752\n46735 70162\n46013 69087\n70352 100000\n97414 100000\n5267 7915\n34552 51938\n70889 100000\n37302 56094\n53015 79573\n7131 10747\n12241 18441\n97220 100000\n94177 100000\n44638 67004\n48302 72546\n53682 80562\n59292 89014\n96255 100000\n36118 54302\n340 510\n66038 99063\n36160 54364\n3300 4970\n8045 12123\n34628 52053\n89383 100000\n22406 33697\n51151 76781\n85151 100000\n5134 7705\n28102 42221\n46526 69858\n66795 100000\n86008 100000\n2659 4017\n85612 100000\n79935 100000\n84268 100000\n19912 29946\n17074 25677\n78278 100000\n38189 57410\n8518 12840\n31461 47311\n91340 100000\n63534 95348\n6446 9695\n47987 72055\n88019 100000\n46939 70476\n80061 100000\n60695 91109\n91107 100000\n69741 100000\n19437 29233\n20345 30613\n3589 5385\n40483 60809\n92728 100000\n46719 70136\n54916 82418\n46489 69806\n24739 37207\n53878 80868\n72185 100000\n50494 75805\n46200 69367\n5835 8757\n44216 66393\n40871 61394\n11324 17050\n61789 92745\n9177 13819\n84510 100000\n80742 100000\n92635 100000\n18155 27321\n79690 100000\n36434 54793\n48435 72747\n98475 100000\n80987 100000\n57889 86882\n4377 6567\n68685 100000\n47294 70996\n8662 13050\n74354 100000\n97287 100000\n33480 50346\n66254 99394\n54544 81867\n41540 62397\n6751 10155\n75634 100000\n90452 100000\n37813 56855\n65617 98422\n18320 27567\n32215 48457\n24061 36191\n30273 45490\n39164 58869\n94767 100000\n86460 100000\n39242 58981\n678 1031\n65444 98166\n8971 13513\n53838 80807\n7551 11383\n47448 71230\n19777 29741\n63656 95532\n40014 60116\n97793 100000\n64309 96486\n32998 49643\n68864 100000\n81038 100000\n79951 100000\n58374 87623\n42266 63479\n15635 23500\n81436 100000\n88639 100000\n97613 100000\n7636 11511\n79901 100000\n76192 100000\n11204 16871\n68812 100000\n67897 100000\n46349 69593\n27378 41144\n17426 26210\n98793 100000\n67716 100000\n443 667\n44972 67517\n40731 61187\n49036 73637\n23508 35349\n35675 53625\n50339 75577\n59414 89202\n21963 33040\n54950 82471\n90511 100000\n98541 100000\n35614 53533\n84188 100000\n95605 100000\n93588 100000\n43134 64769\n524 797\n36338 54649\n6844 10296\n15493 23293\n39175 58882\n62509 93815\n12714 19145\n12012 18112\n87688 100000\n48947 73504\n77591 100000\n53835 80801\n5070 7610\n11854 17876\n32574 49002\n66129 99206\n56867 85345\n83048 100000\n24677 37115\n39433 59267\n29847 44850\n79928 100000\n58016 87078\n99912 100000\n89486 100000\n56904 85400\n25675 38596\n78089 100000\n57809 86762\n33632 50574\n7817 11780\n87226 100000\n29001 43584\n62763 94207\n52768 79211\n63131 94760\n83823 100000\n28732 43175\n75854 100000\n82391 100000\n50181 75340\n29167 43832\n1797 2728\n53347 80065\n5112 7671\n34718 52200\n55635 83503\n11105 16720\n78408 100000\n8291 12500\n74673 100000\n25978 39044\n40879 61407\n13164 19827\n96238 100000\n88897 100000\n81127 100000\n39480 59335\n67267 100000\n95329 100000\n25938 38986\n87634 100000\n78015 100000\n29338 44090\n58004 87061\n39435 59270\n64186 96306\n35752 53745\n82923 100000\n39621 59542\n34645 52083\n30065 45173\n16251 24437\n30828 46333\n69525 100000\n76812 100000\n17717 26653\n19366 29130\n387 579\n8448 12737\n96729 100000\n11028 16606\n11548 17401\n17892 26921\n7466 11250\n51472 77265\n45340 68073\n27125 40764\n10419 15704\n37637 56593\n81123 100000\n86622 100000\n23087 34718\n24566 36945\n19169 28838\n1159 1753\n5387 8094\n11728 17687\n90568 100000\n98068 100000\n46759 70199\n41462 62277\n11074 16672\n12328 18577\n82259 100000\n9173 13812\n15785 23718\n78059 100000\n53547 80366\n55119 82729\n4923 7389\n55622 83487\n85828 100000\n6448 9698\n19445 29245\n44495 66789\n98241 100000\n4424 6639\n23516 35363\n69019 100000\n92096 100000\n52015 78085\n54831 82295\n70610 100000\n19667 29572\n68866 100000\n18109 27256\n74910 100000\n36310 54605\n85719 100000\n59443 89244\n66181 99283\n59808 89783\n97172 100000\n48732 73199\n19480 29299\n53461 80234\n67862 100000\n34980 52590\n5359 8053\n24328 36583\n21872 32902\n95013 100000\n4158 6240\n95423 100000\n25038 37650\n8883 13375\n62789 94248\n78749 100000\n78567 100000\n89502 100000\n36223 54470\n23964 36053\n50979 76520\n94277 100000\n28763 43219\n15470 23258\n97971 100000\n6086 9133\n79313 100000\n47457 71246\n7794 11748\n22109 33260\n48780 73260\n4857 7292\n43878 65896\n78135 100000\n21329 32088\n77774 100000\n94550 100000\n16569 24912\n23495 35334\n78836 100000\n11799 17794\n3749 5624\n88017 100000\n90591 100000\n27244 40941\n92446 100000\n58420 87690\n96635 100000\n62680 94081\n88280 100000\n84486 100000\n68808 100000\n608 927\n83889 100000\n62116 93233\n42930 64477\n65771 98652\n20833 31351\n20706 31157\n14300 21534\n77667 100000\n74887 100000\n51498 77301\n40536 60882\n17577 26438\n74539 100000\n77550 100000\n38750 58261\n78025 100000\n59061 88661\n33390 50212\n58371 87619\n24417 36718\n56393 84635\n15435 23206\n4828 7248\n52692 79103\n12453 18767\n54075 81158\n43307 65038\n75253 100000\n37468 56341\n82891 100000\n12853 19360\n24800 37296\n85956 100000\n71404 100000\n76438 100000\n41258 61967\n68087 100000\n68749 100000\n91500 100000\n16884 25383\n86690 100000\n19291 29017\n7285 10980\n97166 100000\n2185 3297\n14701 22135\n14619 22014\n38246 57502\n52566 78912\n29746 44707\n41783 62758\n57407 86154\n85311 100000\n36543 54954\n12004 18099\n92586 100000\n18361 27630\n33496 50368\n75982 100000\n91264 100000\n67079 100000\n52288 78497\n54088 81177\n64257 96408\n13747 20692\n44440 66713\n97427 100000\n84212 100000\n88910 100000\n36653 55119\n93529 100000\n89844 100000\n4441 6662\n37674 56649\n35519 53391\n89465 100000\n17424 26206\n12459 18775\n24929 37484\n47962 72019\n93745 100000\n50109 75231\n42317 63557\n26082 39196\n31084 46727\n224 332\n88056 100000\n34715 52195\n49150 73808\n67348 100000\n66951 100000\n52210 78380\n40381 60657\n80960 100000\n89422 100000\n12153 18319\n55469 83257\n79653 100000\n86982 100000\n3827 5744\n29255 43962\n83468 100000\n90886 100000\n16068 24154\n92346 100000\n11865 17891\n61300 92017\n1548 2341\n18484 27813\n78898 100000\n17629 26519\n75647 100000\n8094 12195\n59622 89500\n29999 45076\n801 1215\n91717 100000\n77206 100000\n84485 100000\n25814 38800\n99866 100000\n77139 100000\n94382 100000\n49052 73659\n88111 100000\n16391 24645\n55228 82889\n30683 46120\n59909 89930\n71492 100000\n92078 100000\n69646 100000\n70512 100000\n68713 100000\n35183 52890\n89209 100000\n49426 74221\n73186 100000\n31059 46692\n95749 100000\n89911 100000\n17459 26258\n78412 100000\n4395 6596\n45615 68484\n57189 85834\n27421 41216\n82160 100000\n78829 100000\n15653 23529\n6270 9412\n82720 100000\n89851 100000\n27121 40758\n89197 100000\n20649 31069\n27640 41541\n89314 100000\n12834 19331\n71972 100000\n1407 2121\n90713 100000\n98252 100000\n77276 100000\n54979 82516\n1620 2448\n78088 100000\n80523 100000\n47277 70967\n62528 93848\n44944 67471\n94962 100000\n32836 49396\n5441 8174\n18704 28141\n38736 58237\n17767 26731\n47966 72024\n6349 9535\n62010 93074\n56657 85012\n68221 100000\n36952 55568\n70952 100000\n8567 12914\n91681 100000\n85283 100000\n58107 87215\n33606 50535\n48252 72465\n27327 41069\n63955 95965\n78272 100000\n13474 20288\n92417 100000\n22884 34419\n42531 63882\n34947 52541\n692 1054\n73075 100000\n27310 41042\n18318 27564\n33384 50202\n43851 65859\n7990 12041\n44743 67160\n6478 9741\n67485 100000\n53047 79620\n43006 64586\n15911 23915\n87111 100000\n50036 75133\n40962 61529\n73969 100000\n7369 11103\n45660 68549\n77265 100000\n99159 100000\n23965 36054\n92349 100000\n28713 43146\n21771 32749\n37018 55668\n95479 100000\n20334 30596\n26570 39918\n8561 12904\n56290 84487\n80736 100000\n42507 63845\n91909 100000\n40708 61150\n65519 98282\n88363 100000\n38526 57931\n93224 100000\n58165 87303\n93198 100000\n45020 67592\n99049 100000\n6208 9316\n4271 6408\n78977 100000\n29697 44631\n52092 78200\n73739 100000\n63702 95596\n52068 78164\n88281 100000\n89943 100000\n12420 18717\n25651 38559\n70992 100000\n80536 100000\n63696 95589\n37453 56320\n81768 100000\n53004 79559\n627 954\n92389 100000\n33135 49844\n28348 42593\n29787 44764\n13337 20085\n21887 32927\n31559 47461\n70514 100000\n42002 63088\n1238 1865\n6282 9429\n69988 100000\n18537 27889\n61352 92090\n48928 73474\n35991 54101\n75194 100000\n10571 15919\n25159 37830\n85531 100000\n11777 17759\n46341 69582\n69234 100000\n74180 100000\n46069 69167\n28168 42322\n20107 30251\n78517 100000\n80633 100000\n15311 23026\n57814 86768\n65984 98979\n94375 100000\n77456 100000\n13991 21068\n85284 100000\n34995 52613\n37823 56871\n66247 99386\n601 916\n13071 19687\n48661 73084\n47681 71584\n92465 100000\n96065 100000\n91358 100000\n35712 53683\n67931 100000\n44013 66093\n15448 23225\n7655 11540\n70786 100000\n92575 100000\n88036 100000\n24333 36590\n88143 100000\n76692 100000\n29055 43664\n2122 3198\n69024 100000\n47247 70924\n47618 71483\n86672 100000\n23075 34699\n61926 92949\n90527 100000\n70511 100000\n91916 100000\n70040 100000\n8637 13016\n84770 100000\n91348 100000\n36260 54528\n81755 100000\n84600 100000\n41250 61957\n71056 100000\n15693 23584\n40297 60532\n37337 56146\n46657 70046\n22266 33495\n39651 59588\n48863 73381\n59591 89454\n47885 71890\n94028 100000\n84943 100000\n12803 19284\n50309 75532\n18985 28569\n98813 100000\n90082 100000\n77394 100000\n26119 39251\n69749 100000\n90501 100000\n22675 34104\n23430 35235\n49583 74461\n39742 59719\n63635 95499\n99621 100000\n3766 5650\n5488 8242\n35710 53679\n79542 100000\n31945 48038\n89299 100000\n15132 22774\n35312 53086\n73131 100000\n65279 97924\n95960 100000\n17781 26752\n49846 74845\n31115 46781\n66513 99785\n91952 100000\n5877 8823\n95015 100000\n19960 30023\n69997 100000\n95768 100000\n47728 71655\n79557 100000\n29429 44231\n72730 100000\n32272 48547\n13866 20882\n44219 66396\n55993 84044\n57957 86984\n46542 69883\n17519 26350\n97314 100000\n66812 100000\n87801 100000\n91555 100000\n12614 18997\n74472 100000\n87745 100000\n47111 70721\n43046 64642\n75090 100000\n9760 14697\n35492 53349\n62884 94392\n36008 54130\n39650 59586\n72933 100000\n7351 11075\n9100 13704\n47809 71774\n52460 78757\n39094 58775\n77714 100000\n21009 31612\n96951 100000\n85499 100000\n13652 20551\n40205 60403\n2725 4119\n89485 100000\n58055 87133\n26833 40326\n54750 82173\n11938 18004\n97265 100000\n13907 20941\n63174 94823\n33049 49717\n59 87\n79307 100000\n38597 58032\n71623 100000\n57516 86318\n4016 6033\n45156 67788\n10770 16219\n50441 75730\n42795 64278\n44779 67217\n4427 6644\n22846 34359\n29648 44555\n13029 19625\n22606 34003\n28899 43425\n98402 100000\n23107 34749\n14740 22195\n55893 83891\n22569 33944\n54870 82350\n46815 70288\n41060 61669\n50977 76517\n34196 51426\n89481 100000\n23775 35770\n97449 100000\n91791 100000\n38789 58320\n34592 51999\n93607 100000\n66347 99535\n88103 100000\n3764 5646\n9353 14096\n55875 83866\n264 396\n90574 100000\n77946 100000\n14723 22166\n84484 100000\n55829 83801\n27556 41410\n30938 46505\n4531 6797\n99350 100000\n67963 100000\n87425 100000\n14716 22157\n85037 100000\n11619 17515\n84077 100000\n46249 69441\n18240 27447\n55665 83549\n8495 12803\n1198 1810\n3262 4918\n74004 100000\n83719 100000\n74110 100000\n20443 30761\n28506 42832\n27275 40989\n44498 66793\n42649 64064\n35707 53675\n6298 9456\n83054 100000\n97865 100000\n59961 90009\n51712 77621\n17810 26795\n43438 65238\n62503 93806\n1319 1988\n32412 48751\n2082 3137\n28299 42516\n13731 20667\n57174 85811\n69829 100000\n34594 52001\n83331 100000\n77729 100000\n60374 90624\n57721 86635\n31711 47690\n29288 44015\n87640 100000\n16958 25500\n31701 47677\n41438 62239\n63469 95250\n98083 100000\n49864 74876\n9914 14924\n56052 84137\n28771 43234\n77578 100000\n43945 65995\n37704 56693\n47334 71062\n40522 60863\n83607 100000\n16102 24207\n87251 100000\n25917 38956\n82574 100000\n53339 80053\n81257 100000\n49289 74020\n72997 100000\n90436 100000\n22627 34034\n48904 73440\n81613 100000\n23779 35775\n42104 63233\n53295 79984\n47623 71491\n20235 30441\n41686 62617\n27953 42010\n93186 100000\n55921 83935\n51544 77367\n21802 32795\n78886 100000\n26543 39881\n6390 9603\n16661 25052\n99471 100000\n77330 100000\n2063 3109\n23625 35534\n25351 38114\n4552 6828\n63843 95803\n48111 72250\n45013 67582\n90889 100000\n10412 15692\n30310 45541\n67970 100000\n58097 87202\n35741 53729\n7249 10921\n38017 57157\n31447 47291\n63601 95450\n61374 92122\n90729 100000\n97121 100000\n38546 57961\n76245 100000\n30169 45334\n97721 100000\n45747 68679\n1487 2242\n52144 78277\n98958 100000\n9585 14435\n13968 21035\n14991 22566\n84574 100000\n49311 74052\n88585 100000\n23939 36024\n19057 28677\n39600 59510\n20469 30802\n44769 67203\n15937 23948\n80458 100000\n81378 100000\n28833 43332\n15243 22931\n6079 9124\n17021 25592\n44343 66574\n44702 67099\n70565 100000\n99111 100000\n74001 100000\n33254 50020\n20732 31197\n41287 62010\n61011 91592\n78283 100000\n36640 55098\n27547 41399\n63152 94789\n80029 100000\n89076 100000\n25013 37609\n98172 100000\n13946 21002\n27938 41986\n59390 89167\n7648 11529\n23431 35236\n99079 100000\n36244 54503\n60185 90336\n68069 100000\n21807 32804\n51873 77865\n77122 100000\n48440 72755\n40993 61571\n70693 100000\n35916 53989\n5133 7704\n56629 84974\n23259 34969\n63119 94744\n76753 100000\n52215 78386\n1259 1895\n86001 100000\n80492 100000\n40494 60825\n49384 74158\n14260 21468\n50385 75643\n82924 100000\n55054 82624\n56762 85185\n49305 74043\n94797 100000\n61240 91932\n84099 100000\n43577 65446\n10299 15519\n85998 100000\n56923 85424\n27117 40751\n11320 17046\n2086 3142\n8736 13154\n27180 40843\n60158 90298\n91556 100000\n52905 79411\n67955 100000\n42214 63397\n80871 100000\n54252 81436\n96257 100000\n38027 57170\n54803 82254\n78695 100000\n74487 100000\n86429 100000\n89444 100000\n69214 100000\n3402 5119\n85578 100000\n27653 41562\n75930 100000\n49288 74018\n10200 15362\n32345 48655\n45243 67924\n60896 91416\n87227 100000\n39143 58837\n8041 12115\n42537 63888\n65434 98150\n84450 100000\n14691 22119\n8215 12381\n66542 99826\n55197 82849\n81469 100000\n58727 88155\n149 222\n57154 85782\n84116 100000\n23271 34990\n21876 32910\n3189 4813\n93385 100000\n28857 43369\n69752 100000\n1120 1694\n79626 100000\n97385 100000\n69883 100000\n39027 58676\n4812 7221\n18273 27500\n53861 80840\n96020 100000\n42291 63517\n54911 82412\n29080 43702\n14680 22104\n32155 48360\n27007 40581\n87890 100000\n14847 22356\n59148 88788\n59441 89241\n28368 42625\n30591 45976\n47512 71324\n1655 2506\n10815 16283\n73199 100000\n16310 24522\n62293 93500\n6879 10349\n55696 83602\n14032 21126\n17698 26622\n42409 63693\n34625 52048\n84182 100000\n18326 27575\n93850 100000\n3927 5894\n59487 89307\n52184 78337\n1523 2302\n35462 53307\n72867 100000\n56351 84571\n12407 18695\n28601 42981\n85521 100000\n51854 77832\n72561 100000\n5119 7682\n98771 100000\n74642 100000\n55375 83111\n46969 70517\n53816 80771\n48026 72114\n57824 86785\n91810 100000\n48762 73235\n67797 100000\n95849 100000\n4799 7201\n44835 67299\n1371 2067\n72552 100000\n87105 100000\n39261 59010\n10698 16110\n93377 100000\n74415 100000\n5230 7856\n13554 20404\n53593 80430\n77241 100000\n82699 100000\n7822 11787\n99922 100000\n7048 10618\n24702 37152\n82541 100000\n11614 17507\n47081 70678\n12628 19018\n48106 72243\n81405 100000\n96655 100000\n6967 10485\n965 1461\n62291 93496\n43518 65352\n39077 58752\n10970 16517\n23746 35726\n2768 4182\n92493 100000\n50261 75464\n38691 58169\n17331 26069\n92273 100000\n97343 100000\n50899 76401\n48072 72192\n44978 67526\n26908 40434\n21397 32185\n8620 12992\n9900 14902\n85335 100000\n34291 51561\n32769 49295\n87873 100000\n20426 30736\n23432 35238\n51189 76839\n41841 62850\n59097 88713\n91242 100000\n29199 43882\n86595 100000\n68992 100000\n28968 43536\n76027 100000\n77987 100000\n718 1090\n4511 6768\n42253 63458\n52021 78093\n59407 89190\n85680 100000\n13969 21036\n43459 65269\n82833 100000\n58713 88132\n6585 9897\n91803 100000\n5633 8454\n63044 94628\n14461 21777\n19273 28992\n98689 100000\n9778 14725\n25458 38280\n57494 86286\n59933 89968\n79969 100000\n75850 100000\n13870 20887\n41161 61819\n79654 100000\n68920 100000\n40313 60555\n20312 30563\n76400 100000\n27873 41886\n57094 85692\n24331 36587\n49527 74375\n98309 100000\n43696 65622\n24363 36639\n76305 100000\n92392 100000\n90242 100000\n11425 17209\n71434 100000\n18656 28068\n53200 79845\n59956 90002\n61642 92525\n30351 45603\n37366 56188\n86935 100000\n58060 87143\n34388 51706\n36975 55600\n28948 43503\n70808 100000\n29844 44844\n83215 100000\n15602 23456\n70295 100000\n8691 13094\n23976 36070\n32244 48503\n89676 100000\n48389 72677\n63600 95449\n89680 100000\n87923 100000\n87126 100000\n7602 11464\n59214 88889\n49081 73707\n53031 79597\n6281 9427\n83460 100000\n96800 100000\n20325 30582\n4874 7317\n69399 100000\n80238 100000\n8288 12495\n83376 100000\n75370 100000\n82913 100000\n43538 65385\n2144 3233\n34125 51320\n67041 100000\n12138 18299\n18236 27441\n72377 100000\n7251 10924\n44360 66599\n12125 18282\n81590 100000\n84593 100000\n21803 32796\n73875 100000\n26136 39277\n82807 100000\n66423 99653\n66255 99396\n85686 100000\n51322 77044\n68179 100000\n67827 100000\n80790 100000\n92143 100000\n23142 34802\n85438 100000\n69943 100000\n21076 31706\n77658 100000\n59880 89888\n44657 67033\n37488 56372\n10680 16080\n56919 85419\n15152 22800\n67926 100000\n8843 13319\n34414 51741\n36472 54851\n20628 31039\n17199 25860\n94006 100000\n95588 100000\n83943 100000\n620 945\n51271 76961\n78211 100000\n41099 61730\n22665 34091\n35130 52809\n77824 100000\n90395 100000\n62062 93151\n79772 100000\n59171 88824\n33753 50758\n32130 48316\n70489 100000\n93750 100000\n74689 100000\n92238 100000\n8229 12404\n72293 100000\n47643 71524\n31415 47239\n5856 8788\n39278 59038\n83501 100000\n19051 28667\n48334 72596\n93270 100000\n61760 92699\n69499 100000\n95504 100000\n39579 59478\n13974 21042\n30047 45143\n12202 18386\n66467 99717\n4002 6011\n22592 33979\n34022 51169\n35616 53536\n31303 47068\n60170 90317\n63662 95542\n66604 99919\n59849 89841\n36732 55233\n9790 14743\n53721 80621\n46860 70365\n8027 12095\n67117 100000\n62731 94160\n603 918\n67448 100000\n64196 96319\n94361 100000\n77845 100000\n6712 10095\n23462 35281\n76922 100000\n48086 72211\n27803 41789\n23065 34682\n32316 48612\n465 703\n92700 100000\n2800 4227\n57295 85990\n60995 91569\n57768 86702\n5292 7958\n34131 51328\n91259 100000\n17915 26956\n40604 60996\n64354 96549\n80849 100000\n32726 49227\n82867 100000\n58607 87973\n53297 79987\n42008 63097\n64279 96444\n70409 100000\n31607 47535\n92012 100000\n4293 6443\n32124 48307\n22481 33814\n4750 7125\n89359 100000\n59923 89952\n67210 100000\n83035 100000\n45360 68107\n85361 100000\n29982 45051\n79997 100000\n3579 5368\n50031 75126\n10378 15641\n81367 100000\n23044 34651\n54600 81948\n99615 100000\n6709 10089\n58847 88341\n77917 100000\n16260 24451\n22 30\n38605 58045\n4879 7323\n11052 16641\n79362 100000\n15997 24044\n26367 39625\n19613 29490\n44812 67267\n58431 87705\n87616 100000\n81529 100000\n98326 100000\n69079 100000\n54980 82518\n30477 45799\n8846 13324\n55636 83505\n41278 61997\n8616 12986\n9536 14365\n98692 100000\n11454 17257\n88288 100000\n47323 71043\n77555 100000\n8538 12869\n18232 27437\n65830 98743\n43219 64895\n40572 60945\n76017 100000\n49898 74927\n19851 29857\n94374 100000\n72306 100000\n53387 80127\n71175 100000\n98119 100000\n65938 98907\n36450 54818\n86423 100000\n413 623\n49496 74328\n80946 100000\n88356 100000\n2438 3686\n55011 82564\n35438 53271\n64097 96171\n79747 100000\n85951 100000\n20936 31505\n5955 8941\n1625 2457\n87982 100000\n96211 100000\n82535 100000\n76093 100000\n19545 29395\n74508 100000\n83055 100000\n18448 27761\n24543 36910\n76181 100000\n80132 100000\n48218 72416\n19810 29795\n51842 77813\n6059 9093\n10279 15488\n7133 10749\n6434 9676\n9365 14116\n44905 67407\n11537 17384\n79058 100000\n53272 79951\n11801 17798\n39610 59527\n79593 100000\n96395 100000\n44457 66737\n74325 100000\n53711 80606\n90575 100000\n55303 83008\n67072 100000\n68921 100000\n16933 25465\n88124 100000\n78349 100000\n37316 56116\n64239 96381\n46997 70559\n24684 37123\n8940 13465\n43587 65461\n90316 100000\n90254 100000\n23477 35305\n68280 100000\n34875 52439\n3696 5543\n92239 100000\n19176 28849\n98874 100000\n3231 4872\n75312 100000\n697 1061\n19224 28915\n50047 75147\n96066 100000\n84890 100000\n12367 18636\n44156 66313\n17856 26865\n84644 100000\n63803 95742\n22778 34254\n4462 6693\n77750 100000\n20179 30355\n80753 100000\n92074 100000\n45914 68933\n70618 100000\n67257 100000\n47652 71537\n19586 29456\n98337 100000\n59917 89942\n49949 75006\n41366 62130\n8470 12769\n35691 53652\n39851 59871\n87908 100000\n94931 100000\n46275 69485\n17264 25959\n64406 96627\n57927 86941\n4769 7156\n14415 21711\n60919 91453\n78592 100000\n39062 58726\n46430 69714\n188 276\n32150 48351\n62565 93908\n96324 100000\n20100 30242\n83209 100000\n17271 25970\n36777 55297\n56295 84495\n36367 54692\n46824 70303\n21646 32562\n7025 10583\n94173 100000\n59437 89235\n58961 88509\n96080 100000\n38234 57484\n90359 100000\n94796 100000\n86921 100000\n93356 100000\n77758 100000\n98104 100000\n45300 68012\n29661 44574\n20478 30817\n3475 5217\n80754 100000\n96402 100000\n59389 89165\n97176 100000\n84090 100000\n9780 14728\n75413 100000\n25998 39073\n82617 100000\n87892 100000\n24116 36271\n41649 62565\n2004 3024\n47118 70731\n3838 5760\n40584 60964\n55339 83060\n92363 100000\n78017 100000\n49146 73803\n54724 82132\n54591 81935\n82316 100000\n63782 95712\n93582 100000\n48437 72750\n55078 82662\n86033 100000\n30217 45407\n64768 97172\n50016 75105\n49425 74220\n69663 100000\n73059 100000\n6725 10117\n33544 50445\n69884 100000\n24807 37306\n16342 24571\n32158 48365\n79519 100000\n70385 100000\n54789 82235\n33046 49712\n28932 43477\n66807 100000\n38299 57583\n23299 35033\n90654 100000\n48783 73264\n35052 52696\n75042 100000\n30983 46578\n86892 100000\n36523 54925\n84519 100000\n62320 93539\n32024 48154\n30849 46367\n50870 76355\n9678 14578\n69573 100000\n10445 15744\n23725 35694\n65868 98803\n48765 73241\n79967 100000\n34918 52501\n43373 65138\n12266 18481\n30764 46242\n83281 100000\n45374 68127\n84243 100000\n52841 79316\n63658 95536\n96186 100000\n27692 41621\n28324 42555\n70002 100000\n97786 100000\n56994 85533\n64170 96280\n53959 80986\n41150 61802\n33127 49832\n76965 100000\n3984 5985\n24275 36508\n77214 100000\n14001 21081\n52769 79212\n18643 28046\n53587 80420\n54332 81560\n9852 14827\n36395 54736\n68042 100000\n48110 72249\n92409 100000\n12886 19414\n44154 66310\n72636 100000\n16597 24954\n22419 33717\n71642 100000\n41111 61749\n5145 7724\n15053 22661\n79854 100000\n31839 47878\n99217 100000\n35898 53961\n45963 69007\n93765 100000\n55644 83517\n40521 60862\n74213 100000\n56813 85262\n87779 100000\n82691 100000\n33179 49908\n95331 100000\n98290 100000\n4921 7385\n20264 30488\n22510 33858\n31399 47216\n88353 100000\n14066 21172\n48512 72873\n2850 4305\n62640 94021\n60681 91086\n62604 93972\n66194 99302\n91850 100000\n56046 84127\n71143 100000\n97069 100000\n17800 26779\n68102 100000\n13707 20629\n67439 100000\n14099 21216\n83743 100000\n19985 30063\n65459 98189\n54516 81823\n45336 68068\n25126 37780\n5015 7527\n45672 68565\n55190 82839\n88924 100000\n84342 100000\n3355 5051\n34696 52166\n52439 78728\n98155 100000\n24492 36833\n81208 100000\n60679 91083\n93567 100000\n90679 100000\n63019 94593\n53454 80225\n57099 85700\n84313 100000\n7365 11096\n12525 18867\n42470 63787\n17999 27083\n85708 100000\n56684 85052\n66589 99897\n47355 71087\n22561 33931\n64116 96201\n82502 100000\n83436 100000\n75749 100000\n44318 66540\n31267 47014\n38166 57377\n69660 100000\n6528 9816\n19640 29531\n94701 100000\n11428 17213\n19788 29758\n14111 21234\n83539 100000\n16624 24996\n61679 92581\n4233 6349\n46827 70308\n44436 66707\n55478 83267\n700 1065\n87070 100000\n77944 100000\n87083 100000\n75964 100000\n20559 30935\n26202 39379\n12126 18283\n81602 100000\n29768 44737\n85050 100000\n60719 91140\n94076 100000\n72081 100000\n44706 67104\n29351 44110\n97465 100000\n22201 33398\n97729 100000\n3059 4616\n83385 100000\n47756 71696\n36608 55052\n76978 100000\n94610 100000\n10903 16416\n4185 6279\n49939 74990\n17608 26488\n80211 100000\n47881 71883\n77309 100000\n9741 14669\n97387 100000\n22952 34515\n19119 28763\n61036 91627\n24366 36644\n97559 100000\n53785 80722\n13345 20099\n31583 47499\n27390 41166\n16048 24127\n4760 7140\n77091 100000\n94183 100000\n82520 100000\n95022 100000\n32323 48623\n77925 100000\n52823 79288\n43887 65909\n48301 72545\n87680 100000\n41629 62535\n49241 73950\n72746 100000\n24453 36768\n50672 76066\n88630 100000\n84327 100000\n7943 11968\n67169 100000\n64879 97339\n94561 100000\n71394 100000\n22349 33615\n66001 99007\n97075 100000\n76696 100000\n74732 100000\n18443 27754\n94764 100000\n47185 70831\n94041 100000\n5717 8576\n20704 31155\n52406 78680\n99022 100000\n88434 100000\n65931 98895\n936 1421\n97596 100000\n41911 62957\n2759 4166\n17757 26715\n74657 100000\n16065 24149\n36986 55620\n72869 100000\n80289 100000\n52020 78092\n80187 100000\n73612 100000\n53354 80074\n4464 6697\n86698 100000\n46170 69321\n50469 75771\n62319 93538\n9409 14177\n93937 100000\n82218 100000\n1555 2350\n29318 44062\n52860 79342\n46934 70470\n36152 54352\n59574 89430\n55252 82927\n65637 98455\n77798 100000\n54763 82194\n3488 5236\n96744 100000\n47823 71795\n32961 49588\n52024 78097\n54495 81793\n67494 100000\n78267 100000\n61375 92123\n866 1315\n69788 100000\n15673 23556\n67512 100000\n76004 100000\n7895 11895\n95249 100000\n52745 79174\n51931 77954\n69487 100000\n30867 46396\n18827 28331\n6424 9660\n14822 22323\n23839 35871\n38862 58431\n34426 51759\n326 489\n33030 49688\n33111 49809\n94834 100000\n80364 100000\n74852 100000\n5765 8646\n76781 100000\n94010 100000\n44693 67089\n21298 32045\n86436 100000\n96999 100000\n17942 26998\n58062 87147\n85342 100000\n71237 100000\n75728 100000\n67300 100000\n44164 66324\n79006 100000\n73650 100000\n92099 100000\n51242 76917\n11347 17087\n80186 100000\n90487 100000\n44802 67249\n96054 100000\n44245 66430\n10848 16332\n82938 100000\n50230 75418\n97348 100000\n60999 91574\n61386 92139\n20682 31122\n8440 12724\n80362 100000\n30617 46019\n85861 100000\n83185 100000\n83245 100000\n32141 48334\n33180 49909\n91011 100000\n28566 42927\n45023 67596\n70477 100000\n14078 21188\n23905 35974\n59432 89229\n96622 100000\n65213 97827\n7453 11229\n12410 18701\n97888 100000\n17735 26682\n49968 75032\n79284 100000\n46562 69911\n67119 100000\n18219 27418\n71850 100000\n50872 76359\n50519 75842\n99028 100000\n41847 62860\n23582 35471\n90039 100000\n25300 38038\n72556 100000\n48390 72678\n22485 33820\n23420 35220\n49658 74570\n59844 89833\n1169 1767\n48213 72407\n98826 100000\n35882 53936\n46217 69390\n90699 100000\n10440 15738\n89274 100000\n48705 73157\n41842 62852\n59945 89988\n6010 9018\n86473 100000\n49954 75012\n40675 61103\n64973 97469\n83067 100000\n64111 96194\n91085 100000\n73402 100000\n53917 80926\n73888 100000\n38699 58182\n18535 27886\n1834 2782\n37566 56489\n48536 72904\n86339 100000\n69967 100000\n92303 100000\n68238 100000\n60176 90325\n45083 67681\n34333 51625\n64058 96116\n32756 49274\n61160 91809\n21868 32897\n34730 52215\n26964 40514\n16492 24791\n17690 26611\n7392 11134\n31622 47558\n63517 95321\n30483 45806\n29591 44473\n2183 3295\n2441 3690\n46453 69752\n87200 100000\n71818 100000\n75512 100000\n22788 34269\n75198 100000\n36466 54843\n62075 93169\n931 1413\n98495 100000\n88029 100000\n94125 100000\n54382 81627\n72777 100000\n99593 100000\n97031 100000\n33911 50994\n97759 100000\n28205 42371\n6590 9906\n85943 100000\n36047 54192\n31807 47830\n44945 67473\n43166 64820\n27408 41193\n41910 62955\n96274 100000\n25107 37755\n68199 100000\n29544 44399\n74879 100000\n40463 60779\n48100 72233\n97410 100000\n34167 51383\n86128 100000\n81857 100000\n31343 47129\n11680 17610\n84548 100000\n64981 97480\n82705 100000\n46951 70493\n65473 98212\n16135 24261\n3548 5323\n8016 12079\n48727 73193\n24485 36821\n5498 8259\n9834 14801\n91921 100000\n12052 18171\n31877 47938\n37344 56156\n33771 50785\n67983 100000\n69115 100000\n40373 60642\n69681 100000\n41434 62235\n84965 100000\n88297 100000\n47977 72041\n40759 61224\n69723 100000\n55336 83056\n17225 25901\n51387 77143\n16276 24473\n5167 7761\n58749 88190\n78767 100000\n78258 100000\n54421 81683\n98879 100000\n51198 76851\n68148 100000\n78656 100000\n18587 27963\n40884 61413\n97241 100000\n49613 74507\n94329 100000\n37764 56784\n31952 48047\n20531 30896\n20132 30288\n24544 36912\n90401 100000\n58534 87860\n87270 100000\n58140 87263\n94174 100000\n7278 10967\n58639 88018\n22373 33648\n16238 24417\n51665 77550\n46874 70387\n22131 33291\n59272 88981\n92075 100000\n85625 100000\n28905 43436\n37888 56970\n25596 38475\n77234 100000\n13306 20038\n68567 100000\n25469 38293\n79802 100000\n2812 4246\n6881 10353\n2235 3377\n3516 5276\n96310 100000\n14638 22041\n13642 20535\n47679 71580\n64532 96819\n31191 46896\n37237 55997\n75912 100000\n44370 66614\n56559 84874\n98885 100000\n65814 98720\n32082 48242\n78308 100000\n96576 100000\n78728 100000\n60135 90268\n69070 100000\n27355 41107\n31625 47562\n93196 100000\n29175 43843\n70580 100000\n61686 92590\n48443 72761\n11062 16655\n66885 100000\n38504 57895\n17901 26934\n7070 10649\n23837 35867\n97086 100000\n37332 56140\n55942 83966\n39833 59849\n48114 72253\n53574 80403\n42435 63732\n42855 64366\n14312 21553\n70742 100000\n91572 100000\n99724 100000\n20579 30966\n70898 100000\n30686 46126\n94557 100000\n44548 66871\n83732 100000\n31922 48004\n12216 18406\n9504 14319\n42399 63680\n92419 100000\n96082 100000\n70575 100000\n56243 84416\n66444 99681\n12232 18429\n64922 97398\n90634 100000\n71910 100000\n9915 14925\n34982 52594\n9229 13899\n27016 40595\n7347 11069\n58323 87547\n5598 8404\n5943 8924\n68382 100000\n35373 53176\n60169 90315\n19462 29271\n4264 6397\n94613 100000\n48064 72177\n21019 31626\n99397 100000\n36531 54939\n16120 24237\n52947 79476\n57861 86839\n88613 100000\n50249 75447\n58766 88215\n20583 30972\n87907 100000\n51618 77476\n90795 100000\n99606 100000\n26329 39568\n52243 78427\n45876 68877\n15104 22737\n56562 84879\n75078 100000\n15019 22609\n18601 27984\n86801 100000\n42765 64235\n2221 3351\n29811 44796\n20283 30517\n36145 54340\n70883 100000\n65662 98493\n36588 55020\n73308 100000\n91240 100000\n32238 48494\n52870 79355\n1087 1645\n5899 8857\n38443 57806\n68868 100000\n62094 93198\n74305 100000\n3569 5353\n40659 61079\n32072 48228\n92029 100000\n99060 100000\n34479 51835\n46295 69514\n69126 100000\n65488 98233\n71358 100000\n10466 15769\n5697 8547\n74883 100000\n50745 76174\n10819 16290\n69864 100000\n29919 44958\n58725 88151\n67925 100000\n84932 100000\n66309 99477\n37653 56619\n77326 100000\n44321 66545\n33546 50448\n85972 100000\n98901 100000\n70042 100000\n27495 41321\n46110 69227\n56464 84733\n56827 85283\n20020 30118\n58536 87863\n45926 68949\n27285 41003\n17374 26135\n47819 71788\n3868 5807\n6244 9368\n45201 67855\n22160 33336\n58907 88429\n89762 100000\n73736 100000\n10650 16038\n48450 72772\n11437 17228\n12043 18158\n39380 59195\n93263 100000\n48247 72458\n21997 33087\n7332 11046\n91043 100000\n48062 72174\n84050 100000\n38147 57347\n18056 27173\n31831 47866\n17918 26960\n61837 92815\n84599 100000\n70435 100000\n80407 100000\n2125 3202\n78377 100000\n38819 58364\n25246 37956\n60485 90788\n39513 59383\n5682 8526\n83644 100000\n99981 100000\n36984 55616\n76202 100000\n40491 60821\n72041 100000\n79140 100000\n52055 78144\n66524 99799\n3625 5436\n16122 24240\n40378 60652\n58485 87786\n64194 96315\n33250 50013\n80517 100000\n93769 100000\n70586 100000\n63637 95502\n95010 100000\n22998 34585\n8500 12813\n64065 96125\n91922 100000\n82737 100000\n77503 100000\n6464 9721\n1206 1821\n2035 3070\n30172 45339\n38241 57496\n2184 3296\n85766 100000\n49064 73679\n50014 75102\n6360 9555\n57143 85764\n90594 100000\n76428 100000\n99943 100000\n78961 100000\n82172 100000\n40362 60626\n65063 97599\n96855 100000\n20163 30332\n66820 100000\n49471 74286\n75985 100000\n40143 60308\n73863 100000\n31837 47875\n99973 100000\n30520 45869\n62288 93492\n87475 100000\n38915 58507\n71019 100000\n52109 78228\n46433 69719\n10521 15851\n6859 10319\n80359 100000\n11950 18022\n76252 100000\n41448 62253\n77219 100000\n27086 40703\n79040 100000\n46958 70502\n24183 36372\n56618 84957\n13258 19961\n91890 100000\n57168 85802\n64005 96034\n99222 100000\n15781 23713\n23619 35524\n11815 17817\n41879 62909\n51838 77807\n89774 100000\n34911 52492\n78395 100000\n14041 21140\n84633 100000\n83594 100000\n19761 29716\n20270 30497\n50537 75867\n67853 100000\n16906 25419\n80371 100000\n96665 100000\n40718 61164\n2859 4319\n33867 50926\n76459 100000\n4508 6764\n30772 46253\n1961 2963\n72992 100000\n47935 71973\n46443 69735\n78106 100000\n99920 100000\n97562 100000\n84147 100000\n88390 100000\n50024 75117\n69794 100000\n45346 68082\n4811 7219\n72371 100000\n96235 100000\n81847 100000\n2873 4339\n45072 67666\n74298 100000\n76101 100000\n14253 21459\n89061 100000\n2556 3857\n87415 100000\n72178 100000\n80192 100000\n11837 17849\n22628 34035\n88099 100000\n48055 72163\n42189 63358\n89933 100000\n78664 100000\n38758 58274\n15270 22969\n62412 93677\n30773 46254\n6534 9824\n69851 100000\n53057 79635\n25508 38347\n44876 67361\n28345 42589\n45986 69045\n29321 44067\n12923 19466\n43312 65046\n6868 10332\n89712 100000\n81220 100000\n2581 3895\n952 1441\n78291 100000\n80861 100000\n7264 10944\n36242 54500\n8436 12717\n38747 58256\n12716 19148\n47613 71477\n93131 100000\n7777 11727\n29927 44968\n34282 51549\n17235 25915\n92218 100000\n43109 64732\n56168 84302\n81789 100000\n4034 6064\n76462 100000\n69649 100000\n98169 100000\n77791 100000\n58950 88494\n16653 25039\n83608 100000\n54276 81474\n74604 100000\n98341 100000\n18296 27533\n29953 45010\n14807 22299\n225 333\n18395 27678\n28911 43446\n7348 11071\n24223 36436\n11698 17638\n71751 100000\n95638 100000\n45124 67741\n61808 92772\n87713 100000\n98730 100000\n94952 100000\n47451 71236\n88876 100000\n69451 100000\n94480 100000\n57025 85582\n83471 100000\n79258 100000\n75603 100000\n16634 25010\n67019 100000\n35193 52906\n2544 3840\n93 139\n15976 24009\n58158 87291\n47307 71015\n81340 100000\n77337 100000\n18186 27366\n60382 90637\n7837 11808\n43498 65324\n10140 15272\n87347 100000\n85415 100000\n92554 100000\n87996 100000\n30405 45688\n1529 2311\n38425 57777\n86446 100000\n98796 100000\n25864 38879\n88904 100000\n52198 78360\n57799 86748\n33478 50343\n66252 99392\n27983 42054\n15918 23924\n89837 100000\n32332 48636\n25513 38354\n59159 88807\n13983 21056\n27741 41693\n89179 100000\n71931 100000\n90731 100000\n14446 21757\n20913 31473\n69129 100000\n31322 47097\n76886 100000\n35198 52911\n28741 43188\n26228 39417\n57051 85621\n29301 44036\n73978 100000\n59252 88950\n61820 92789\n90589 100000\n15792 23727\n67798 100000\n55270 82955\n86451 100000\n66740 100000\n58270 87461\n78085 100000\n57999 87054\n62588 93947\n97049 100000\n73283 100000\n5659 8490\n40376 60648\n92519 100000\n19787 29757\n70982 100000\n71153 100000\n69922 100000\n47587 71433\n11432 17220\n46530 69863\n92191 100000\n90780 100000\n83617 100000\n5287 7949\n18358 27624\n65070 97610\n77602 100000\n61322 92048\n20773 31257\n87190 100000\n73092 100000\n85082 100000\n48058 72169\n27935 41980\n95198 100000\n4677 7016\n9469 14268\n65668 98502\n67157 100000\n74357 100000\n72547 100000\n33838 50887\n13059 19669\n28115 42243\n58473 87769\n87671 100000\n12310 18552\n72784 100000\n47400 71159\n29208 43898\n47503 71311\n30451 45758\n35236 52968\n97327 100000\n85918 100000\n35232 52963\n71217 100000\n75942 100000\n87855 100000\n17818 26809\n10651 16039\n87837 100000\n95325 100000\n11953 18027\n57559 86384\n8920 13433\n22052 33170\n99669 100000\n52777 79223\n23666 35598\n15980 24015\n84078 100000\n35791 53800\n83044 100000\n3474 5216\n42896 64425\n5489 8244\n13935 20986\n31485 47347\n62661 94053\n98983 100000\n13249 19948\n76416 100000\n46808 70276\n38919 58511\n86802 100000\n41065 61676\n14223 21414\n40957 61522\n2432 3676\n27609 41494\n80181 100000\n68776 100000\n65387 98078\n57963 86993\n41837 62843\n73413 100000\n26387 39655\n3217 4855\n58290 87495\n80958 100000\n8191 12342\n95848 100000\n24255 36480\n54034 81097\n73943 100000\n20487 30830\n80244 100000\n64900 97371\n6791 10217\n8731 13147\n68498 100000\n77756 100000\n36101 54275\n56017 84084\n85483 100000\n48537 72906\n93109 100000\n45544 68378\n78501 100000\n32310 48603\n12752 19208\n1740 2637\n28598 42977\n78553 100000\n93018 100000\n24439 36747\n1366 2060\n67393 100000\n53255 79925\n69514 100000\n95262 100000\n85888 100000\n66378 99583\n27787 41765\n77107 100000\n67782 100000\n8420 12695\n66354 99545\n7030 10591\n13305 20036\n24947 37510\n91807 100000\n90204 100000\n62774 94228\n39822 59830\n44839 67305\n85264 100000\n6484 9748\n50283 75493\n93644 100000\n27444 41251\n19959 30022\n95873 100000\n33439 50287\n97375 100000\n3473 5215\n363 544\n15533 23348\n46022 69100\n37959 57068\n55782 83730\n19748 29699\n80662 100000\n30205 45391\n82930 100000\n10396 15665\n12536 18883\n66788 100000\n8650 13034\n46030 69113\n78796 100000\n86138 100000\n29414 44207\n69552 100000\n46101 69214\n30693 46136\n23410 35206\n1898 2873\n91229 100000\n67281 100000\n10962 16508\n69599 100000\n14543 21902\n74602 100000\n73761 100000\n90078 100000\n88984 100000\n55191 82840\n91104 100000\n73979 100000\n85242 100000\n39091 58771\n24303 36549\n91122 100000\n65687 98529\n66981 100000\n47479 71277\n55184 82829\n22961 34528\n22450 33767\n45996 69061\n68627 100000\n85328 100000\n20473 30810\n5982 8979\n95150 100000\n68219 100000\n30363 45623\n93837 100000\n73914 100000\n94609 100000\n32880 49466\n14955 22512\n76044 100000\n76873 100000\n59117 88741\n21205 31901\n92208 100000\n31842 47883\n17654 26557\n2015 3042\n94970 100000\n55075 82657\n20306 30552\n76010 100000\n40739 61199\n36015 54139\n56408 84655\n65025 97541\n5946 8929\n95497 100000\n49182 73857\n94297 100000\n10583 15935\n51580 77423\n53939 80957\n64758 97155\n61440 92224\n78143 100000\n333 501\n52983 79530\n59096 88711\n59689 89603\n97373 100000\n22604 33999\n10993 16552\n6746 10147\n13920 20962\n84673 100000\n95608 100000\n88754 100000\n12993 19572\n71825 100000\n88238 100000\n65529 98295\n99729 100000\n14685 22110\n25823 38814\n60811 91288\n56476 84750\n13694 20611\n10214 15381\n49663 74577\n47574 71415\n35560 53454\n64840 97282\n72111 100000\n86957 100000\n81882 100000\n86646 100000\n31164 46855\n46554 69901\n88233 100000\n37702 56691\n58592 87951\n72221 100000\n4755 7132\n56765 85189\n3112 4698\n67354 100000\n66749 100000\n96508 100000\n52764 79205\n69480 100000\n76366 100000\n44229 66410\n91988 100000\n5080 7625\n82374 100000\n4477 6717\n70554 100000\n7442 11212\n34796 52319\n16313 24526\n1017 1540\n29406 44193\n54719 82125\n87265 100000\n41217 61903\n90929 100000\n39209 58928\n68455 100000\n41666 62588\n81224 100000\n25268 37992\n51764 77698\n88538 100000\n38790 58322\n63026 94602\n96301 100000\n12849 19354\n22275 33508\n26618 39988\n53869 80854\n94425 100000\n27522 41362\n22134 33296\n2941 4440\n9583 14433\n85671 100000\n57371 86102\n29281 44004\n43741 65691\n78018 100000\n6026 9044\n60400 90660\n15302 23011\n32517 48914\n84073 100000\n84380 100000\n59848 89840\n43638 65535\n9997 15050\n94753 100000\n70564 100000\n13597 20467\n38863 58432\n11786 17772\n65542 98313\n78086 100000\n59349 89103\n24312 36562\n69801 100000\n81935 100000\n78557 100000\n52344 78581\n53476 80257\n78145 100000\n28582 42952\n76896 100000\n81279 100000\n9668 14564\n72626 100000\n2198 3318\n44958 67493\n922 1400\n4506 6760\n48818 73314\n7588 11441\n93845 100000\n11456 17259\n52771 79214\n61469 92269\n63809 95750\n20341 30609\n81810 100000\n76445 100000\n15189 22849\n2712 4097\n63017 94590\n54213 81369\n93708 100000\n53594 80432\n73568 100000\n35167 52863\n81669 100000\n98794 100000\n24443 36753\n78285 100000\n26705 40121\n29896 44924\n79510 100000\n980 1484\n28946 43499\n35437 53269\n44364 66604\n77021 100000\n90877 100000\n30105 45234\n95096 100000\n8090 12190\n89324 100000\n41242 61941\n68439 100000\n69662 100000\n67413 100000\n41926 62979\n41381 62153\n6167 9257\n30204 45389\n76103 100000\n42288 63512\n35461 53305\n4822 7239\n24657 37084\n57878 86865\n21856 32879\n32430 48779\n54159 81291\n43243 64935\n14566 21930\n71934 100000\n51160 76796\n27445 41252\n33296 50076\n96172 100000\n48735 73204\n16378 24625\n63873 95845\n33985 51108\n61588 92442\n36890 55474\n67828 100000\n1710 2591\n54985 82526\n29889 44914\n50717 76134\n31721 47703\n30738 46205\n15668 23550\n87445 100000\n4279 6422\n13124 19763\n97475 100000\n97920 100000\n91976 100000\n61051 91651\n11797 17790\n20931 31499\n7467 11252\n13047 19651\n47765 71709\n94684 100000\n67343 100000\n60775 91228\n62594 93956\n61559 92403\n69630 100000\n71611 100000\n12188 18368\n81247 100000\n10310 15535\n8577 12929\n504 762\n71616 100000\n31064 46700\n63049 94636\n28153 42298\n66648 99987\n63519 95324\n58303 87517\n78965 100000\n34635 52064\n51406 77171\n74998 100000\n81399 100000\n70392 100000\n51694 77596\n15569 23402\n65835 98751\n7997 12052\n31220 46945\n30704 46152\n48402 72697\n40732 61189\n93997 100000\n94698 100000\n67499 100000\n8946 13474\n9627 14500\n57135 85750\n16360 24596\n87660 100000\n63431 95198\n15218 22895\n34082 51257\n69632 100000\n86853 100000\n81796 100000\n72255 100000\n91514 100000\n77017 100000\n21490 32320\n81609 100000\n29289 44017\n34053 51212\n44934 67456\n75984 100000\n80800 100000\n24210 36413\n92884 100000\n84798 100000\n40771 61242\n37678 56655\n18048 27160\n85741 100000\n47737 71668\n21640 32552\n25515 38357\n46459 69761\n49184 73861\n95943 100000\n36463 54838\n57003 85546\n91495 100000\n99402 100000\n77741 100000\n28370 42628\n71312 100000\n57047 85615\n28908 43442\n43901 65929\n5867 8805\n97260 100000\n5676 8515\n93283 100000\n90380 100000\n29284 44008\n43050 64647\n80786 100000\n29516 44356\n89097 100000\n60669 91069\n3166 4777\n98268 100000\n3710 5566\n82095 100000\n496 749\n25960 39018\n7427 11188\n81725 100000\n19785 29754\n35957 54048\n95858 100000\n61732 92657\n14690 22117\n19350 29102\n96363 100000\n91830 100000\n44193 66360\n1952 2947\n5291 7957\n14606 21994\n98348 100000\n65513 98274\n99651 100000\n24895 37435\n4163 6247\n56766 85190\n53417 80172\n8462 12755\n24932 37488\n16897 25405\n36375 54705\n62408 93671\n81638 100000\n54211 81366\n92120 100000\n46709 70121\n79999 100000\n27329 41071\n38889 58467\n79267 100000\n26739 40176\n22560 33930\n94212 100000\n33233 49986\n55506 83313\n84624 100000\n97421 100000\n35665 53608\n79819 100000\n88974 100000\n53196 79839\n2318 3502\n58192 87339\n87395 100000\n94290 100000\n38887 58463\n56558 84872\n89436 100000\n94135 100000\n55698 83605\n20981 31573\n22251 33473\n29980 45047\n46095 69205\n9513 14331\n46266 69470\n13042 19643\n36407 54755\n49543 74398\n53383 80121\n4309 6465\n88662 100000\n89994 100000\n26328 39567\n610 931\n61792 92750\n71101 100000\n96642 100000\n41912 62958\n72328 100000\n95819 100000\n27858 41866\n28025 42113\n96170 100000\n41038 61641\n24365 36642\n84611 100000\n41710 62652\n41763 62727\n49724 74664\n24588 36978\n53744 80657\n41332 62077\n6149 9232\n1138 1722\n16702 25115\n42904 64437\n37439 56297\n46457 69759\n4533 6800\n84842 100000\n99631 100000\n73781 100000\n15392 23140\n26413 39693\n36999 55641\n93181 100000\n69389 100000\n7146 10768\n6254 9385\n19559 29414\n36221 54467\n59403 89186\n92325 100000\n26988 40547\n70268 100000\n37358 56176\n25841 38841\n71526 100000\n13541 20384\n63252 94938\n78399 100000\n8635 13013\n27824 41819\n76924 100000\n2971 4482\n40354 60615\n49451 74256\n84395 100000\n13448 20249\n5687 8533\n45155 67787\n89453 100000\n41222 61911\n58034 87104\n98483 100000\n80410 100000\n10518 15848\n47067 70659\n25765 38731\n578 879\n29688 44615\n98575 100000\n19301 29032\n69686 100000\n26087 39205\n42417 63704\n1675 2533\n45383 68141\n4402 6606\n68786 100000\n95148 100000\n43386 65156\n69338 100000\n57570 86401\n70772 100000\n69299 100000\n23102 34742\n19799 29778\n26005 39082\n80712 100000\n85960 100000\n97171 100000\n9950 14978\n91210 100000\n93099 100000\n7422 11179\n58831 88320\n21493 32324\n74076 100000\n5385 8092\n11107 16723\n44675 67061\n38951 58564\n53732 80638\n46891 70410\n82761 100000\n18553 27910\n21122 31773\n84108 100000\n67259 100000\n62387 93639\n20501 30851\n29319 44064\n46922 70453\n68293 100000\n48364 72636\n66617 99940\n28712 43145\n78078 100000\n57986 87031\n77359 100000\n84405 100000\n23736 35711\n99820 100000\n88673 100000\n68807 100000\n50023 75116\n86817 100000\n46670 70067\n10638 16019\n74661 100000\n57665 86547\n96419 100000\n32796 49339\n78495 100000\n63428 95195\n41702 62640\n47552 71385\n35972 54069\n6452 9706\n88821 100000\n62373 93617\n70128 100000\n69731 100000\n29759 44725\n20434 30748\n89902 100000\n69953 100000\n30263 45475\n65173 97768\n60276 90478\n106 156\n51082 76679\n86498 100000\n10245 15432\n81731 100000\n78722 100000\n65939 98909\n62124 93245\n54080 81165\n27477 41300\n72290 100000\n84973 100000\n51038 76608\n66906 100000\n78410 100000\n69297 100000\n81046 100000\n90682 100000\n44603 66953\n82733 100000\n41170 61833\n8414 12685\n96786 100000\n23145 34806\n16854 25337\n28818 43308\n86379 100000\n26787 40252\n29031 43627\n99032 100000\n19738 29683\n96449 100000\n62512 93821\n88223 100000\n35918 53992\n23323 35073\n24583 36970\n29946 44999\n49598 74484\n25564 38424\n82539 100000\n92867 100000\n60549 90881\n5062 7598\n76308 100000\n40488 60817\n76356 100000\n98703 100000\n72645 100000\n33944 51045\n29851 44858\n82751 100000\n97025 100000\n79670 100000\n27821 41814\n94274 100000\n93508 100000\n85651 100000\n80926 100000\n29515 44355\n13179 19848\n89293 100000\n31861 47915\n62804 94274\n9366 14117\n70820 100000\n90567 100000\n11302 17019\n12136 18297\n82009 100000\n97468 100000\n28365 42619\n53819 80775\n47617 71481\n58106 87214\n68664 100000\n23551 35417\n3627 5439\n47583 71428\n52593 78954\n44096 66221\n44008 66086\n38273 57541\n64815 97245\n48391 72680\n84636 100000\n21628 32533\n70447 100000\n12506 18839\n48854 73370\n68975 100000\n45964 69008\n28027 42115\n24785 37273\n97133 100000\n60890 91408\n52157 78296\n23313 35056\n15357 23095\n26357 39611\n73480 100000\n54248 81428\n29200 43883\n17647 26546\n94687 100000\n24025 36138\n27749 41705\n58211 87366\n26611 39977\n45279 67980\n90445 100000\n50508 75826\n47815 71782\n59620 89497\n5164 7756\n93454 100000\n99883 100000\n17209 25878\n41235 61930\n82121 100000\n16069 24156\n62802 94270\n12781 19250\n35233 52964\n89460 100000\n73444 100000\n36537 54946\n78845 100000\n33189 49924\n39784 59773\n94299 100000\n67893 100000\n22709 34155\n77111 100000\n66793 100000\n41117 61757\n31749 47746\n41735 62688\n8747 13174\n17219 25893\n31003 46606\n91465 100000\n5266 7914\n40712 61156\n21043 31658\n16371 24614\n88828 100000\n85537 100000\n7793 11746\n79428 100000\n81908 100000\n95405 100000\n33634 50577\n56510 84801\n68324 100000\n55051 82619\n61815 92781\n23588 35479\n28607 42992\n91800 100000\n34782 52296\n97988 100000\n57207 85864\n65748 98619\n22548 33910\n60960 91516\n82299 100000\n19783 29752\n60621 90994\n34061 51222\n64548 96844\n53530 80338\n32790 49330\n56336 84551\n23525 35378\n98315 100000\n37354 56170\n99526 100000\n99394 100000\n59613 89485\n84740 100000\n23789 35791\n60883 91396\n59205 88875\n2569 3879\n82253 100000\n88284 100000\n71247 100000\n81713 100000\n94079 100000\n49978 75044\n73971 100000\n75762 100000\n80684 100000\n11121 16745\n15081 22705\n55632 83498\n61424 92197\n90771 100000\n49338 74091\n37177 55904\n91372 100000\n19938 29986\n70269 100000\n92685 100000\n93193 100000\n1902 2877\n22595 33984\n60895 91415\n16802 25261\n65630 98444\n57599 86447\n37691 56674\n28183 42344\n71096 100000\n18631 28026\n53933 80949\n84594 100000\n9557 14396\n97326 100000\n42538 63890\n52998 79552\n13354 20111\n84941 100000\n74310 100000\n28404 42681\n45657 68544\n18610 27997\n24783 37270\n50481 75787\n67820 100000\n73852 100000\n89501 100000\n97839 100000\n11323 17049\n51543 77366\n7141 10760\n84901 100000\n82670 100000\n24117 36273\n21942 33008\n33780 50798\n97209 100000\n13102 19731\n96193 100000\n85308 100000\n2939 4436\n24475 36804\n64069 96131\n21681 32614\n78443 100000\n4364 6547\n94670 100000\n53373 80104\n19227 28919\n4114 6175\n93460 100000\n84551 100000\n31421 47247\n13950 21009\n65472 98211\n8269 12462\n65305 97963\n4897 7348\n67082 100000\n63959 95971\n61321 92046\n80781 100000\n10499 15816\n93369 100000\n73760 100000\n86364 100000\n8517 12838\n58665 88057\n37042 55703\n95470 100000\n5396 8107\n28256 42452\n74968 100000\n3747 5620\n39012 58658\n64299 96472\n35947 54036\n60016 90091\n47551 71384\n70745 100000\n44916 67425\n9661 14555\n13177 19845\n4927 7395\n63403 95154\n22262 33488\n35328 53110\n17158 25798\n44943 67469\n53964 80994\n43435 65233\n33002 49649\n76828 100000\n56130 84247\n65685 98526\n83679 100000\n37854 56919\n88504 100000\n4449 6677\n86882 100000\n41987 63069\n5990 8990\n9989 15038\n2691 4064\n67274 100000\n47129 70748\n15727 23628\n91343 100000\n44284 66489\n2076 3128\n64814 97243\n79046 100000\n93223 100000\n31362 47156\n11199 16864\n17823 26815\n510 771\n90680 100000\n41447 62252\n23726 35695\n1325 1998\n79049 100000\n34562 51953\n83287 100000\n47874 71873\n73231 100000\n76311 100000\n40444 60750\n69210 100000\n27616 41502\n78136 100000\n90863 100000\n52877 79367\n63749 95661\n80465 100000\n24359 36632\n49393 74171\n29543 44397\n3266 4923\n26832 40324\n23934 36017\n69976 100000\n8201 12359\n4248 6373\n78101 100000\n8624 12999\n79477 100000\n54121 81234\n82463 100000\n23278 35001\n96033 100000\n64994 97498\n15797 23736\n34933 52522\n553 839\n41630 62536\n74597 100000\n87789 100000\n28622 43015\n71601 100000\n15770 23697\n40163 60341\n73896 100000\n79137 100000\n64244 96387\n20637 31052\n8097 12200\n37501 56391\n19095 28733\n88052 100000\n34153 51363\n10696 16108\n77397 100000\n32108 48283\n13627 20513\n84425 100000\n27095 40717\n60492 90800\n66318 99490\n29739 44698\n28125 42256\n97592 100000\n84545 100000\n20121 30272\n38548 57963\n62426 93699\n7057 10630\n35419 53241\n17133 25762\n64399 96616\n66515 99787\n15054 22663\n51642 77513\n55204 82857\n11647 17559\n98 146\n8494 12802\n80147 100000\n24513 36866\n95709 100000\n57022 85577\n23118 34766\n5265 7912\n33528 50420\n91604 100000\n148 221\n6177 9270\n28635 43036\n70455 100000\n64559 96861\n74955 100000\n95190 100000\n55165 82800\n81509 100000\n43132 64766\n63766 95689\n8445 12732\n53874 80862\n36535 54943\n83166 100000\n70684 100000\n41859 62878\n34247 51502\n31673 47634\n98999 100000\n31142 46822\n79444 100000\n5394 8103\n38343 57654\n91156 100000\n47459 71248\n94714 100000\n11968 18049\n79392 100000\n41898 62937\n37591 56523\n60312 90531\n17159 25799\n38567 57990\n58854 88348\n79275 100000\n94292 100000\n63876 95849\n21520 32361\n66666 100000\n59490 89310\n46456 69757\n51939 77966\n43604 65487\n34031 51181\n78198 100000\n42761 64229\n54113 81220\n2083 3139\n51744 77668\n59478 89296\n10868 16365\n71607 100000\n67551 100000\n98332 100000\n72838 100000\n24010 36117\n51191 76841\n90609 100000\n37620 56564\n56729 85128\n60774 91227\n13840 20840\n89272 100000\n23507 35347\n67178 100000\n54543 81866\n35335 53120\n20871 31408\n13930 20978\n94545 100000\n92267 100000\n37151 55866\n36360 54680\n41422 62217\n25262 37983\n44760 67187\n56091 84190\n18264 27486\n94142 100000\n30771 46252\n45485 68295\n29733 44690\n40642 61053\n86494 100000\n11315 17039\n13464 20272\n94560 100000\n77977 100000\n36214 54454\n88952 100000\n10266 15466\n58537 87864\n57503 86298\n85800 100000\n93250 100000\n18683 28111\n45633 68510\n89999 100000\n41957 63023\n75559 100000\n51948 77978\n33762 50771\n83503 100000\n1930 2915\n14493 21827\n50959 76493\n46779 70232\n45848 68833\n29958 45016\n62104 93214\n32313 48608\n20381 30668\n94787 100000\n49515 74357\n98833 100000\n70167 100000\n93890 100000\n35728 53707\n73895 100000\n87330 100000\n26040 39131\n57245 85917\n65453 98180\n485 730\n73869 100000\n24050 36174\n7298 10999\n779 1181\n34586 51991\n28497 42818\n65284 97930\n69211 100000\n57960 86989\n41449 62255\n28847 43354\n1118 1691\n12487 18810\n70057 100000\n73596 100000\n88448 100000\n46706 70117\n47249 70927\n41755 62716\n17437 26225\n76516 100000\n98437 100000\n89471 100000\n78654 100000\n81432 100000\n55764 83700\n75638 100000\n76920 100000\n52063 78157\n98374 100000\n79427 100000\n34964 52567\n43446 65250\n97178 100000\n71579 100000\n68009 100000\n68276 100000\n91749 100000\n52240 78423\n98831 100000\n14209 21393\n93061 100000\n6904 10389\n2201 3322\n9132 13751\n40401 60688\n6819 10262\n73883 100000\n14082 21194\n93613 100000\n77453 100000\n96344 100000\n98891 100000\n47231 70904\n56160 84290\n85664 100000\n53416 80171\n7105 10706\n70314 100000\n98836 100000\n18657 28070\n12969 19536\n29236 43940\n95083 100000\n75337 100000\n827 1257\n1992 3007\n97794 100000\n32968 49599\n12113 18266\n40321 60567\n16847 25326\n46968 70516\n50951 76482\n57319 86023\n36095 54265\n31005 46609\n38131 57324\n95784 100000\n96621 100000\n22371 33646\n40676 61104\n39170 58875\n29 40\n38129 57320\n86767 100000\n67090 100000\n25314 38059\n46157 69301\n92284 100000\n25416 38213\n79865 100000\n61606 92468\n48649 73067\n11338 17074\n60297 90508\n39017 58664\n12529 18873\n9342 14078\n86108 100000\n14906 22438\n59635 89519\n55030 82592\n57713 86622\n88323 100000\n74465 100000\n99537 100000\n82450 100000\n32766 49290\n98766 100000\n70458 100000\n36289 54573\n35434 53265\n39476 59331\n61370 92117\n6115 9180\n97211 100000\n12388 18670\n1172 1772\n75360 100000\n78768 100000\n79308 100000\n69774 100000\n82293 100000\n43645 65546\n78504 100000\n27768 41735\n77457 100000\n69743 100000\n67761 100000\n86798 100000\n93825 100000\n13170 19834\n9296 14006\n92650 100000\n57507 86304\n54066 81143\n56134 84253\n34889 52460\n45567 68413\n70288 100000\n66921 100000\n89806 100000\n81803 100000\n50789 76238\n49139 73793\n63472 95254\n38932 58534\n12385 18665\n62247 93431\n26116 39247\n60582 90932\n95082 100000\n82885 100000\n68077 100000\n13186 19857\n90755 100000\n61255 91954\n49298 74032\n7270 10954\n80859 100000\n84876 100000\n65174 97770\n30888 46426\n58036 87106\n47095 70696\n19116 28757\n31813 47840\n97805 100000\n52357 78602\n58040 87111\n72895 100000\n63850 95815\n98552 100000\n1614 2438\n5826 8744\n99719 100000\n73670 100000\n47607 71467\n76128 100000\n22505 33850\n17882 26909\n68723 100000\n20648 31067\n11832 17840\n56542 84847\n38431 57787\n36478 54858\n93071 100000\n24791 37283\n8070 12161\n22498 33839\n94781 100000\n57514 86314\n48393 72682\n12387 18668\n77970 100000\n24963 37534\n11606 17493\n67663 100000\n38728 58225\n35836 53870\n49818 74803\n29434 44237\n18729 28182\n65848 98770\n91025 100000\n12726 19164\n72219 100000\n64629 96962\n50464 75763\n92796 100000\n78465 100000\n61933 92960\n41944 63005\n41383 62155\n98563 100000\n90548 100000\n7578 11422\n84473 100000\n97773 100000\n64750 97145\n15677 23560\n72913 100000\n19562 29419\n57449 86218\n27482 41306\n82989 100000\n74710 100000\n29210 43901\n44741 67157\n81702 100000\n35239 52971\n92589 100000\n91227 100000\n67799 100000\n10199 15360\n62705 94121\n71397 100000\n51433 77207\n1123 1700\n81855 100000\n33267 50037\n42320 63561\n52175 78324\n51328 77055\n81149 100000\n77471 100000\n69337 100000\n25693 38622\n18822 28325\n48976 73546\n71469 100000\n12920 19461\n73661 100000\n93163 100000\n2533 3825\n12996 19578\n83860 100000\n91738 100000\n2214 3342\n57150 85776\n70096 100000\n74155 100000\n61468 92267\n55024 82582\n90214 100000\n98637 100000\n83093 100000\n78251 100000\n44432 66701\n75815 100000\n44558 66884\n75191 100000\n76067 100000\n82330 100000\n51339 77069\n14751 22213\n73234 100000\n28910 43445\n61063 91670\n82881 100000\n1269 1913\n9138 13760\n87079 100000\n86960 100000\n81690 100000\n17739 26687\n81252 100000\n83242 100000\n61548 92386\n71574 100000\n25443 38257\n32470 48841\n11949 18020\n37005 55651\n76870 100000\n45144 67770\n64901 97373\n22179 33365\n97064 100000\n65429 98141\n40477 60799\n4012 6027\n3893 5840\n836 1269\n18574 27942\n56043 84122\n13673 20581\n46930 70465\n7912 11920\n94175 100000\n69729 100000\n28663 43073\n32749 49261\n17440 26228\n88581 100000\n47561 71397\n79578 100000\n15473 23263\n76151 100000\n45830 68807\n13053 19660\n92543 100000\n1341 2022\n61778 92729\n27675 41592\n57811 86765\n4642 6966\n55748 83677\n26900 40423\n59181 88840\n14748 22207\n57688 86584\n11254 16949\n95409 100000\n98420 100000\n7920 11933\n56483 84761\n66351 99541\n17861 26875\n22891 34430\n82135 100000\n1275 1923\n876 1330\n94240 100000\n79322 100000\n60930 91467\n14572 21941\n78913 100000\n2267 3427\n64426 96656\n72250 100000\n60787 91246\n33859 50915\n54559 81889\n60799 91267\n64083 96155\n55481 83272\n90628 100000\n48158 72326\n52083 78184\n42066 63178\n34662 52109\n13836 20835\n59132 88764\n70368 100000\n3257 4911\n65883 98824\n73985 100000\n52534 78869\n16331 24555\n98335 100000\n83908 100000\n77641 100000\n32028 48160\n83978 100000\n49621 74517\n83882 100000\n68917 100000\n30741 46209\n60888 91404\n5550 8331\n52281 78485\n13690 20604\n53066 79647\n19391 29167\n10713 16133\n57403 86149\n85347 100000\n10115 15235\n63088 94696\n33216 49963\n28537 42883\n91817 100000\n38953 58567\n6008 9016\n48222 72421\n14857 22371\n82504 100000\n80779 100000\n87109 100000\n97782 100000\n7540 11367\n48718 73177\n63085 94692\n365 548\n21862 32887\n35352 53147\n43619 65511\n14042 21141\n80647 100000\n64839 97280\n7727 11649\n25844 38846\n82196 100000\n75584 100000\n99407 100000\n37247 56011\n94893 100000\n77370 100000\n41812 62804\n13833 20830\n2360 3569\n19733 29676\n37670 56644\n32498 48882\n91434 100000\n21078 31709\n22519 33869\n53262 79935\n14569 21936\n75990 100000\n54092 81184\n42920 64461\n40149 60319\n17724 26663\n43067 64672\n246 366\n85799 100000\n29526 44371\n24384 36667\n78623 100000\n64615 96943\n3386 5097\n34879 52445\n8338 12566\n20247 30462\n85382 100000\n47887 71893\n60963 91521\n24863 37390\n28137 42273\n88399 100000\n48304 72550\n67147 100000\n46878 70392\n91278 100000\n65336 98006\n30710 46162\n15467 23254\n11912 17961\n45384 68142\n3330 5014\n68994 100000\n50647 76027\n87721 100000\n81894 100000\n50841 76316\n51025 76591\n23055 34667\n1252 1884\n42326 63571\n45548 68385\n34110 51296\n78771 100000\n51727 77641\n94744 100000\n90497 100000\n96226 100000\n4283 6428\n74700 100000\n76593 100000\n95792 100000\n6025 9042\n23394 35183\n68227 100000\n14734 22186\n62929 94458\n15471 23259\n71669 100000\n37865 56938\n10174 15323\n90042 100000\n72301 100000\n79686 100000\n31129 46801\n62236 93415\n12425 18726\n46026 69107\n75611 100000\n30071 45182\n60771 91222\n39511 59380\n5254 7893\n11194 16855\n12220 18411\n14117 21243\n22011 33106\n11976 18060\n5135 7707\n1136 1719\n96141 100000\n60122 90251\n34187 51414\n42150 63301\n21454 32274\n24234 36451\n56951 85471\n77419 100000\n73497 100000\n51392 77148\n46172 69323\n95172 100000\n84906 100000\n32719 49220\n8283 12487\n46211 69382\n68168 100000\n53584 80415\n53799 80747\n20002 30087\n448 675\n62380 93626\n34762 52266\n68692 100000\n53232 79892\n45284 67988\n36460 54832\n43925 65964\n52385 78648\n11342 17080\n68617 100000\n56049 84133\n969 1467\n48049 72156\n26073 39180\n82592 100000\n46226 69404\n27017 40597\n21846 32862\n25142 37804\n86584 100000\n55028 82588\n27023 40607\n88258 100000\n50797 76251\n99336 100000\n77132 100000\n74367 100000\n37272 56048\n48351 72618\n44719 67123\n38529 57937\n64956 97445\n30956 46537\n45693 68600\n33541 50440\n67482 100000\n11094 16701\n14338 21596\n79232 100000\n89971 100000\n86455 100000\n19424 29216\n69738 100000\n18890 28425\n51847 77823\n97404 100000\n4956 7435\n30440 45742\n94103 100000\n17421 26203\n1771 2686\n46198 69364\n86539 100000\n7262 10941\n9921 14934\n85546 100000\n10900 16410\n26496 39814\n89839 100000\n16011 24068\n62298 93506\n97055 100000\n77893 100000\n20416 30721\n58507 87818\n96286 100000\n33169 49896\n77044 100000\n12577 18944\n52775 79221\n52289 78499\n28061 42163\n2631 3976\n23149 34813\n9894 14894\n30901 46446\n91826 100000\n90875 100000\n96560 100000\n67125 100000\n68073 100000\n16426 24695\n55039 82606\n70126 100000\n18953 28520\n19072 28700\n45115 67727\n32487 48864\n51520 77332\n64943 97426\n43857 65867\n85278 100000\n63143 94777\n33403 50233\n30448 45753\n78065 100000\n16584 24933\n35844 53881\n20688 31130\n39646 59581\n73350 100000\n40436 60739\n87276 100000\n46145 69281\n11317 17042\n85718 100000\n9605 14468\n11681 17611\n75741 100000\n64921 97397\n91197 100000\n840 1276\n43545 65394\n26757 40206\n81568 100000\n99655 100000\n20198 30384\n95804 100000\n36165 54373\n76201 100000\n14141 21282\n28543 42893\n37581 56510\n58109 87218\n30002 45079\n34463 51815\n98788 100000\n20504 30855\n59344 89096\n65064 97600\n18067 27189\n64093 96166\n3327 5010\n17897 26928\n47454 71241\n11901 17945\n41040 61643\n84720 100000\n31859 47912\n59374 89142\n63025 94601\n87218 100000\n97597 100000\n9221 13886\n34673 52126\n75021 100000\n60113 90235\n73823 100000\n4144 6218\n11361 17108\n71631 100000\n16438 24713\n6657 10009\n56953 85474\n75316 100000\n14437 21744\n80829 100000\n56469 84741\n66036 99059\n25099 37743\n78847 100000\n11515 17352\n44826 67288\n27886 41905\n57954 86981\n20240 30451\n99924 100000\n25598 38477\n4130 6198\n43138 64775\n47609 71470\n66211 99331\n87205 100000\n31504 47373\n48857 73374\n31179 46879\n1544 2335\n61017 91600\n93618 100000\n95328 100000\n20008 30096\n65625 98436\n88826 100000\n46772 70221\n66418 99645\n4296 6447\n49908 74942\n14329 21582\n69322 100000\n79276 100000\n16952 25491\n92220 100000\n42416 63702\n34992 52610\n88431 100000\n55410 83164\n65703 98554\n45808 68774\n96109 100000\n68400 100000\n85295 100000\n2340 3537\n59526 89361\n23989 36086\n83716 100000\n88916 100000\n64402 96620\n52940 79466\n22099 33246\n52844 79320\n45140 67764\n7882 11876\n69827 100000\n3950 5930\n33821 50860\n65431 98145\n24576 36959\n90377 100000\n81133 100000\n81807 100000\n22004 33098\n37534 56441\n44277 66477\n49971 75035\n74794 100000\n27802 41787\n10938 16472\n2170 3275\n84439 100000\n24951 37514\n65831 98745\n76699 100000\n54109 81214\n51123 76738\n52168 78313\n16499 24803\n34302 51577\n43439 65239\n17071 25673\n51823 77785\n33106 49801\n61582 92434\n79047 100000\n77823 100000\n771 1170\n52001 78063\n62551 93883\n23813 35829\n91721 100000\n88776 100000\n87002 100000\n49653 74564\n68190 100000\n33774 50790\n97540 100000\n63142 94776\n9274 13972\n55209 82865\n44155 66311\n14275 21492\n43203 64870\n13028 19623\n19089 28725\n579 880\n33034 49692\n6925 10419\n38828 58380\n61372 92120\n15662 23540\n29130 43776\n90392 100000\n74725 100000\n24406 36701\n50937 76460\n22751 34217\n17369 26127\n25786 38761\n68636 100000\n47442 71221\n63489 95277\n895 1358\n24502 36848\n40779 61255\n94439 100000\n6031 9052\n87135 100000\n64595 96915\n5805 8711\n10270 15472\n58053 87129\n27307 41039\n51036 76605\n71817 100000\n83787 100000\n70001 100000\n5688 8535\n33562 50471\n17802 26782\n79023 100000\n69037 100000\n79131 100000\n44181 66346\n16158 24296\n77748 100000\n3322 5001\n67520 100000\n12370 18642\n54205 81357\n14467 21786\n99599 100000\n10865 16359\n2866 4327\n81662 100000\n40254 60468\n24377 36657\n86851 100000\n54237 81408\n89019 100000\n63215 94884\n74050 100000\n50083 75198\n70911 100000\n43072 64679\n88750 100000\n61342 92077\n63942 95944\n60938 91480\n46495 69814\n78092 100000\n78442 100000\n1905 2883\n49852 74856\n92485 100000\n97338 100000\n76473 100000\n74039 100000\n22795 34279\n30548 45913\n22080 33214\n55493 83290\n14759 22224\n66275 99429\n76243 100000\n50420 75696\n53537 80349\n93207 100000\n75449 100000\n37733 56743\n86203 100000\n73771 100000\n8485 12789\n37482 56363\n10850 16335\n43806 65789\n72820 100000\n80455 100000\n468 708\n17313 26038\n58709 88126\n45629 68506\n32631 49092\n41689 62622\n9913 14923\n17389 26157\n72459 100000\n79791 100000\n59581 89440\n75283 100000\n29155 43814\n20707 31159\n81506 100000\n15946 23963\n43677 65595\n31444 47286\n71732 100000\n90072 100000\n29290 44019\n21355 32122\n70394 100000\n67522 100000\n2242 3386\n48363 72634\n39749 59728\n3309 4983\n86641 100000\n76822 100000\n6393 9608\n96750 100000\n40886 61417\n47911 71934\n68747 100000\n83038 100000\n76871 100000\n62427 93700\n65030 97548\n19648 29542\n60348 90586\n91915 100000\n62522 93838\n60094 90205\n28921 43464\n11355 17098\n66150 99241\n7445 11217\n86620 100000\n98548 100000\n75448 100000\n88605 100000\n96076 100000\n53489 80278\n26381 39647\n79631 100000\n11746 17716\n61683 92586\n91255 100000\n34868 52429\n84213 100000\n92765 100000\n25058 37680\n40171 60354\n35576 53478\n60517 90836\n2359 3568\n71009 100000\n16887 25388\n85423 100000\n35547 53434\n83100 100000\n26258 39461\n99012 100000\n63370 95105\n2945 4444\n36894 55480\n27505 41335\n76964 100000\n1340 2020\n51499 77302\n38338 57646\n30532 45888\n90645 100000\n11019 16592\n35569 53469\n44255 66444\n51578 77420\n58393 87650\n58058 87139\n8706 13115\n86587 100000\n50233 75424\n89796 100000\n90441 100000\n41824 62822\n96782 100000\n67915 100000\n69077 100000\n50616 75986\n42700 64140\n62579 93931\n99658 100000\n22311 33564\n31941 48031\n36381 54716\n91176 100000\n34135 51334\n38435 57794\n73124 100000\n81245 100000\n45667 68559\n88562 100000\n15155 22804\n81148 100000\n1981 2991\n74728 100000\n40904 61443\n72808 100000\n25473 38298\n93574 100000\n2994 4517\n55404 83155\n39745 59723\n59888 89898\n60928 91465\n87963 100000\n89699 100000\n41497 62336\n73768 100000\n89490 100000\n34336 51629\n90790 100000\n47198 70852\n97948 100000\n70238 100000\n30667 46093\n32315 48611\n73655 100000\n5664 8497\n75326 100000\n86354 100000\n44781 67219\n54028 81090\n54592 81937\n84492 100000\n83919 100000\n76934 100000\n1461 2202\n4710 7067\n42285 63508\n83995 100000\n26534 39867\n86481 100000\n49229 73930\n55459 83243\n35626 53551\n99989 100000\n88658 100000\n72742 100000\n84818 100000\n7937 11958\n64788 97206\n31657 47611\n44714 67116\n63151 94788\n95919 100000\n25209 37905\n62171 93315\n77690 100000\n83612 100000\n69735 100000\n86510 100000\n3069 4630\n88896 100000\n92783 100000\n56693 85066\n10675 16073\n49351 74111\n3654 5480\n68133 100000\n6023 9039\n62801 94269\n72809 100000\n33866 50925\n45997 69062\n78508 100000\n93586 100000\n21915 32968\n28787 43259\n77804 100000\n91033 100000\n54151 81279\n70855 100000\n79576 100000\n77681 100000\n32471 48842\n25032 37641\n80034 100000\n3483 5229\n44887 67376\n57684 86577\n57116 85723\n63366 95099\n95865 100000\n36789 55317\n98698 100000\n23784 35782\n91712 100000\n79451 100000\n31575 47486\n16433 24706\n29867 44882\n39813 59817\n18384 27664\n5306 7980\n77941 100000\n37809 56849\n63618 95475\n57481 86264\n72138 100000\n64593 96911\n84046 100000\n95946 100000\n18678 28102\n11991 18081\n16392 24646\n46614 69982\n34288 51557\n65862 98793\n42926 64470\n74453 100000\n61665 92564\n8104 12211\n77354 100000\n94102 100000\n51296 76999\n13966 21032\n68993 100000\n7361 11089\n91925 100000\n85875 100000\n88584 100000\n81926 100000\n23750 35732\n9922 14936\n52746 79175\n88948 100000\n51911 77926\n46023 69101\n70120 100000\n21186 31873\n3428 5156\n92888 100000\n40609 61004\n78240 100000\n81721 100000\n62126 93247\n75609 100000\n11184 16840\n75922 100000\n98527 100000\n83843 100000\n6951 10458\n80231 100000\n80709 100000\n9537 14367\n37701 56689\n89107 100000\n77952 100000\n57128 85740\n74251 100000\n34258 51516\n21488 32316\n76283 100000\n16820 25285\n82736 100000\n61214 91890\n57378 86112\n27779 41754\n54610 81964\n27569 41432\n54453 81729\n92435 100000\n30042 45137\n30661 46081\n55342 83063\n35331 53114\n46441 69732\n39978 60060\n33109 49806\n26300 39522\n44142 66290\n81273 100000\n29937 44984\n42236 63432\n38772 58295\n30113 45244\n30697 46142\n96815 100000\n4619 6930\n33247 50010\n84945 100000\n85310 100000\n90033 100000\n84086 100000\n70214 100000\n71945 100000\n47336 71064\n91338 100000\n67030 100000\n28332 42568\n1496 2256\n48901 73435\n30024 45113\n13011 19600\n33219 49969\n98444 100000\n12235 18434\n73561 100000\n39892 59930\n8433 12712\n16217 24386\n43455 65262\n93476 100000\n31060 46694\n65 97\n41211 61894\n50846 76323\n84895 100000\n36659 55129\n78827 100000\n39188 58901\n37168 55890\n22050 33166\n49194 73877\n93475 100000\n6420 9653\n54106 81210\n28362 42615\n22366 33638\n79250 100000\n22663 34088\n78471 100000\n56552 84864\n35341 53127\n53273 79952\n16263 24455\n71993 100000\n19290 29016\n41484 62316\n73001 100000\n41745 62702\n25767 38734\n62468 93759\n7788 11741\n57039 85604\n20182 30360\n36184 54404\n11520 17358\n89167 100000\n68951 100000\n12218 18409\n87272 100000\n50823 76288\n76094 100000\n62302 93513\n42123 63260\n80873 100000\n41952 63017\n65566 98345\n69108 100000\n27447 41254\n82129 100000\n59501 89326\n61956 92994\n56968 85496\n13976 21045\n42405 63689\n31647 47594\n47661 71550\n87154 100000\n46615 69983\n3521 5284\n34357 51660\n91927 100000\n59072 88678\n11654 17569\n79288 100000\n72086 100000\n69157 100000\n55405 83156\n81380 100000\n10415 15697\n21126 31778\n69807 100000\n85074 100000\n59217 88894\n4576 6866\n51888 77889\n938 1423\n43919 65954\n16434 24708\n72080 100000\n48611 73013\n69099 100000\n50839 76312\n41731 62682\n75375 100000\n61564 92410\n25567 38428\n32865 49440\n471 712\n79404 100000\n73379 100000\n25856 38866\n51375 77123\n50570 75918\n97066 100000\n77850 100000\n97021 100000\n54471 81755\n64896 97365\n33044 49709\n71159 100000\n30930 46493\n17278 25983\n21464 32287\n17803 26784\n66054 99089\n67821 100000\n99535 100000\n92332 100000\n572 869\n76905 100000\n23110 34755\n25870 38888\n65128 97697\n75774 100000\n11792 17784\n65361 98040\n48885 73411\n31856 47907\n96886 100000\n42970 64536\n26938 40476\n58134 87256\n75287 100000\n85883 100000\n84250 100000\n52411 78688\n67273 100000\n49398 74179\n3443 5174\n60464 90756\n57546 86365\n8379 12634\n942 1427\n2386 3609\n69159 100000\n32638 49101\n28174 42330\n8957 13492\n30622 46025\n53516 80315\n74846 100000\n93760 100000\n29293 44023\n68496 100000\n57404 86150\n22091 33233\n63823 95772\n95090 100000\n56283 84478\n2572 3884\n19664 29568\n12685 19104\n24226 36439\n43486 65308\n28010 42091\n62875 94378\n26245 39441\n84217 100000\n40386 60665\n24815 37316\n84934 100000\n69341 100000\n3389 5102\n83985 100000\n18423 27722\n66581 99888\n83729 100000\n20995 31592\n18692 28126\n19209 28895\n82846 100000\n67991 100000\n22516 33865\n93556 100000\n9657 14550\n3813 5724\n84627 100000\n54399 81650\n38283 57558\n90799 100000\n69435 100000\n39339 59133\n44240 66424\n42778 64254\n43402 65183\n53540 80354\n34539 51921\n16968 25516\n81695 100000\n63816 95761\n61066 91674\n69215 100000\n15000 22580\n19860 29872\n90161 100000\n1185 1790\n17039 25622\n69519 100000\n88774 100000\n24727 37188\n73496 100000\n68689 100000\n91504 100000\n88589 100000\n55645 83519\n76914 100000\n33076 49758\n63496 95286\n87797 100000\n98928 100000\n2454 3708\n33730 50723\n45314 68033\n89935 100000\n66420 99649\n50476 75781\n67470 100000\n8413 12683\n69961 100000\n63308 95013\n49930 74975\n82601 100000\n67097 100000\n20339 30605\n98458 100000\n32502 48889\n72740 100000\n62534 93857\n4458 6688\n442 666\n99646 100000\n88289 100000\n19530 29373\n4657 6990\n57183 85825\n25254 37970\n44431 66699\n93535 100000\n54296 81506\n88801 100000\n85388 100000\n91318 100000\n99836 100000\n38614 58058\n88018 100000\n29478 44298\n68153 100000\n28203 42369\n48424 72729\n3554 5331\n72229 100000\n34363 51669\n59507 89335\n5095 7645\n69934 100000\n20881 31424\n92640 100000\n70252 100000\n90820 100000\n88349 100000\n22433 33740\n97077 100000\n86561 100000\n41494 62331\n42831 64329\n99025 100000\n71066 100000\n81726 100000\n51738 77660\n18901 28441\n60314 90535\n6759 10167\n77514 100000\n94729 100000\n96488 100000\n52099 78211\n36039 54177\n18647 28053\n12300 18533\n25089 37727\n9134 13754\n55247 82919\n15558 23383\n36222 54469\n72403 100000\n7137 10754\n27664 41576\n1967 2973\n28723 43161\n92217 100000\n54649 82019\n15680 23565\n11006 16570\n2388 3612\n73164 100000\n39573 59470\n61135 91772\n81048 100000\n51152 76782\n97949 100000\n88141 100000\n82232 100000\n44583 66922\n1695 2564\n48295 72536\n67971 100000\n76681 100000\n85781 100000\n86236 100000\n70912 100000\n52104 78219\n21459 32281\n88211 100000\n61647 92533\n86353 100000\n38849 58411\n80672 100000\n40054 60171\n26185 39351\n30452 45760\n10671 16068\n37874 56951\n64429 96660\n86426 100000\n1900 2875\n51304 77014\n98143 100000\n23412 35209\n34543 51926\n75325 100000\n64427 96657\n52472 78772\n39616 59534\n67457 100000\n33805 50833\n29322 44068\n41176 61842\n65274 97918\n51310 77025\n60515 90833\n1643 2487\n42037 63136\n9712 14626\n37419 56265\n19032 28640\n69612 100000\n18544 27898\n27304 41034\n65126 97694\n72878 100000\n87306 100000\n89331 100000\n51114 76725\n11452 17253\n76197 100000\n41874 62901\n14970 22534\n7587 11439\n913 1387\n69640 100000\n14464 21781\n35430 53258\n20760 31240\n1753 2658\n51928 77950\n57787 86732\n87774 100000\n24043 36164\n58941 88481\n36971 55594\n66319 99492\n66030 99050\n78953 100000\n14302 21536\n91224 100000\n35985 54090\n91045 100000\n4571 6859\n79806 100000\n71114 100000\n15007 22591\n91379 100000\n94112 100000\n81551 100000\n53527 80333\n47302 71007\n72393 100000\n2011 3035\n27960 42020\n60846 91343\n59516 89346\n38265 57528\n14201 21380\n27853 41859\n23038 34641\n17382 26146\n23119 34768\n96897 100000\n21082 31716\n48340 72602\n29375 44145\n33024 49680\n79235 100000\n32166 48379\n850 1290\n17372 26132\n53846 80819\n17953 27013\n22376 33652\n72390 100000\n53131 79741\n31664 47621\n76617 100000\n10289 15504\n44601 66951\n52401 78673\n84124 100000\n20825 31339\n42485 63811\n28804 43285\n88016 100000\n56284 84479\n52149 78285\n68138 100000\n26031 39118\n80875 100000\n17239 25921\n49114 73757\n85450 100000\n2291 3460\n35563 53459\n20085 30217\n84915 100000\n49617 74511\n24671 37107\n38394 57728\n42162 63319\n39257 59005\n45472 68276\n89320 100000\n41582 62458\n51306 77018\n77999 100000\n7053 10625\n93779 100000\n888 1351\n59951 89996\n51858 77837\n74636 100000\n90749 100000\n98619 100000\n80423 100000\n92066 100000\n25799 38777\n38663 58128\n91034 100000\n74179 100000\n45177 67822\n66841 100000\n92696 100000\n56139 84259\n31119 46788\n33507 50386\n2761 4170\n97285 100000\n67127 100000\n7864 11848\n66076 99124\n6006 9013\n72591 100000\n98015 100000\n15400 23154\n61939 92968\n89379 100000\n39299 59066\n44637 67003\n85689 100000\n27864 41873\n32218 48463\n22297 33546\n93692 100000\n91526 100000\n61716 92635\n86626 100000\n6403 9626\n12605 18983\n87035 100000\n61034 91624\n65828 98740\n9400 14167\n96544 100000\n53535 80346\n84145 100000\n10818 16288\n99214 100000\n52471 78771\n91703 100000\n31351 47140\n83336 100000\n72545 100000\n32911 49510\n54127 81242\n36775 55295\n21106 31750\n17566 26422\n83637 100000\n12207 18393\n44168 66328\n15709 23607\n4480 6722\n93409 100000\n7063 10637\n48476 72812\n45196 67847\n32844 49409\n22995 34580\n72055 100000\n89123 100000\n48274 72500\n742 1129\n46373 69631\n59038 88626\n33463 50321\n94542 100000\n39968 60044\n51830 77796\n73642 100000\n72387 100000\n49603 74492\n97951 100000\n50642 76019\n8381 12637\n57808 86761\n88817 100000\n64978 97477\n44157 66315\n68411 100000\n91102 100000\n4767 7153\n87875 100000\n33930 51023\n58610 87977\n16040 24116\n81464 100000\n56727 85124\n55293 82991\n8565 12911\n18024 27122\n60789 91250\n23591 35483\n64749 97144\n16975 25527\n50193 75361\n86058 100000\n69586 100000\n95794 100000\n42094 63218\n96427 100000\n94253 100000\n49608 74500\n66199 99311\n56655 85010\n34623 52045\n62965 94507\n65892 98838\n12103 18251\n99970 100000\n11045 16630\n80794 100000\n19168 28837\n44886 67375\n1692 2560\n4643 6967\n79944 100000\n45482 68291\n81960 100000\n25817 38804\n65735 98598\n88500 100000\n3652 5476\n19760 29715\n69956 100000\n27356 41108\n89233 100000\n29907 44942\n30937 46503\n15671 23554\n95369 100000\n64884 97347\n91959 100000\n85711 100000\n64175 96289\n13905 20937\n10889 16398\n81649 100000\n38019 57159\n9089 13687\n76829 100000\n32537 48942\n91497 100000\n36967 55589\n45461 68259\n43450 65256\n63631 95493\n48636 73048\n66965 100000\n1583 2392\n91225 100000\n22118 33274\n34802 52327\n37098 55788\n95052 100000\n72274 100000\n98239 100000\n3706 5559\n44323 66548\n38834 58387\n37623 56569\n7308 11011\n41016 61604\n95965 100000\n70245 100000\n43443 65246\n19942 29992\n97366 100000\n72501 100000\n96849 100000\n97770 100000\n87305 100000\n99182 100000\n23896 35960\n45992 69055\n50805 76260\n7305 11008\n75800 100000\n37423 56272\n90930 100000\n68311 100000\n58995 88560\n50654 76038\n22037 33148\n94291 100000\n67337 100000\n29657 44567\n77535 100000\n90246 100000\n4881 7325\n35184 52891\n5759 8638\n74645 100000\n83085 100000\n6199 9304\n66522 99797\n78493 100000\n78093 100000\n53702 80593\n66903 100000\n76711 100000\n3437 5167\n20747 31221\n79872 100000\n12227 18421\n14552 21913\n45968 69015\n43028 64619\n48407 72706\n52054 78143\n27173 40831\n58955 88500\n42605 64000\n97193 100000\n96451 100000\n97652 100000\n47084 70682\n70714 100000\n49335 74087\n28228 42408\n73203 100000\n29213 43906\n85716 100000\n75507 100000\n87088 100000\n8276 12474\n39585 59487\n11522 17362\n52492 78803\n50003 75084\n66019 99032\n17212 25883\n25177 37859\n45402 68168\n69529 100000\n99076 100000\n23917 35991\n11373 17125\n55742 83667\n42159 63314\n51714 77623\n50477 75782\n98723 100000\n5636 8458\n15331 23055\n90963 100000\n10231 15409\n74811 100000\n41321 62059\n99112 100000\n26125 39262\n68449 100000\n21620 32520\n7463 11245\n72691 100000\n68803 100000\n6416 9648\n54826 82289\n51713 77622\n26531 39862\n21531 32375\n65230 97851\n23661 35592\n46921 70452\n50552 75890\n77938 100000\n41409 62196\n63741 95650\n58630 88005\n63693 95585\n99392 100000\n53001 79556\n57551 86373\n41744 62701\n65721 98577\n65672 98508\n99325 100000\n58221 87381\n27410 41197\n93058 100000\n93853 100000\n16458 24744\n90979 100000\n97864 100000\n47884 71888\n94145 100000\n13691 20606\n86577 100000\n59248 88944\n8877 13367\n77702 100000\n10552 15891\n83504 100000\n94160 100000\n22127 33285\n71767 100000\n3640 5458\n87365 100000\n27464 41280\n44459 66739\n1142 1727\n35899 53962\n89084 100000\n45213 67875\n58332 87562\n22740 34199\n39076 58750\n29583 44462\n55131 82748\n27205 40882\n6248 9375\n90222 100000\n98537 100000\n83329 100000\n5153 7738\n39670 59614\n55744 83671\n90984 100000\n18516 27861\n10317 15547\n76613 100000\n74817 100000\n18251 27465\n53806 80759\n45717 68633\n26693 40103\n16870 25360\n6861 10322\n48372 72648\n11069 16666\n13511 20337\n77958 100000\n33580 50498\n9325 14052\n44003 66078\n55778 83722\n61489 92300\n72683 100000\n90231 100000\n26004 39081\n14336 21592\n42951 64508\n99323 100000\n77770 100000\n61128 91762\n23204 34891\n90199 100000\n76089 100000\n33228 49981\n11386 17142\n70965 100000\n41517 62364\n97684 100000\n85744 100000\n52025 78099\n25355 38119\n18533 27884\n80912 100000\n56654 85009\n87385 100000\n16581 24929\n18769 28243\n48520 72883\n89599 100000\n42897 64426\n49962 75023\n95628 100000\n6587 9901\n90209 100000\n89769 100000\n39711 59678\n60197 90352\n57796 86744\n32718 49218\n34465 51817\n65809 98713\n14585 21964\n17380 26143\n66375 99579\n63842 95801\n31387 47197\n41244 61945\n56254 84434\n12799 19278\n65195 97801\n7242 10911\n51253 76934\n6295 9452\n65142 97719\n56121 84234\n64258 96410\n69050 100000\n56515 84808\n47372 71115\n48459 72786\n95294 100000\n99603 100000\n45758 68696\n24658 37086\n67949 100000\n74536 100000\n61918 92940\n50761 76198\n73097 100000\n56080 84176\n22822 34323\n51021 76585\n15401 23156\n94372 100000\n29873 44890\n3021 4560\n31174 46872\n612 935\n86630 100000\n87459 100000\n12824 19317\n29646 44551\n32795 49338\n3997 6002\n69116 100000\n37548 56462\n80478 100000\n90099 100000\n65962 98945\n17325 26057\n52659 79051\n6043 9072\n5939 8917\n94338 100000\n25610 38496\n89144 100000\n54402 81654\n43892 65916\n10125 15249\n4095 6148\n70612 100000\n93041 100000\n75281 100000\n2338 3534\n82230 100000\n93977 100000\n22573 33951\n5801 8704\n65902 98854\n34232 51480\n90793 100000\n79153 100000\n64570 96877\n40322 60569\n18113 27261\n99667 100000\n68773 100000\n74869 100000\n25834 38830\n89607 100000\n1011 1530\n3377 5085\n67076 100000\n87460 100000\n1023 1550\n4342 6515\n35842 53878\n62976 94523\n12955 19516\n17940 26994\n40272 60496\n39760 59741\n97554 100000\n10957 16500\n31495 47360\n73865 100000\n66447 99687\n89515 100000\n1707 2585\n93125 100000\n75938 100000\n31493 47358\n45745 68676\n69562 100000\n4584 6879\n63491 95279\n58636 88012\n89381 100000\n49861 74872\n7068 10646\n21176 31857\n95735 100000\n5097 7647\n70149 100000\n47562 71398\n95904 100000\n54839 82308\n11096 16705\n95334 100000\n66032 99053\n85249 100000\n39388 59205\n73088 100000\n53726 80628\n84840 100000\n42614 64014\n40068 60192\n26355 39608\n96671 100000\n85811 100000\n66119 99190\n1889 2859\n7316 11021\n99542 100000\n15171 22828\n8777 13219\n39758 59739\n70038 100000\n14308 21545\n61635 92513\n60038 90122\n55971 84014\n15262 22959\n76854 100000\n99963 100000\n7180 10819\n88373 100000\n2202 3324\n75509 100000\n16757 25193\n3831 5750\n33897 50974\n31233 46963\n13435 20229\n58584 87939\n53414 80168\n88834 100000\n51558 77388\n97593 100000\n20781 31269\n25506 38345\n29995 45072\n81258 100000\n70460 100000\n29417 44211\n63157 94797\n51956 77991\n79134 100000\n8498 12809\n42341 63595\n25049 37668\n34940 52531\n46450 69747\n3553 5329\n90871 100000\n16756 25191\n88697 100000\n76183 100000\n83178 100000\n93610 100000\n85184 100000\n1703 2577\n3435 5165\n47408 71170\n18386 27667\n52917 79430\n51679 77573\n90144 100000\n64248 96394\n18157 27324\n96360 100000\n41893 62930\n2486 3759\n25452 38270\n93011 100000\n7973 12011\n86993 100000\n44677 67065\n58426 87697\n59424 89216\n34981 52592\n77724 100000\n80902 100000\n70561 100000\n46754 70192\n55271 82957\n65867 98802\n96299 100000\n87278 100000\n85366 100000\n60509 90824\n48432 72743\n19797 29774\n76793 100000\n49227 73926\n21299 32047\n25498 38333\n42262 63472\n46646 70029\n30720 46179\n72357 100000\n46402 69673\n74638 100000\n55488 83281\n6720 10109\n14136 21273\n65743 98611\n89811 100000\n96359 100000\n5972 8966\n6960 10474\n94853 100000\n66011 99021\n68843 100000\n12978 19551\n71915 100000\n38865 58434\n7784 11736\n32525 48927\n1888 2858\n82549 100000\n61620 92489\n37513 56410\n25090 37729\n11053 16643\n2692 4066\n93171 100000\n58218 87377\n4461 6692\n44361 66600\n60905 91432\n12819 19309\n12315 18558\n58132 87252\n33308 50094\n36453 54823\n64610 96937\n29666 44581\n3686 5528\n92387 100000\n20588 30982\n39494 59354\n45069 67662\n69824 100000\n46238 69423\n45419 68194\n3197 4826\n77816 100000\n2150 3243\n4743 7116\n99490 100000\n34381 51697\n9287 13992\n98893 100000\n37570 56494\n57296 85992\n61589 92443\n88374 100000\n41204 61885\n17413 26193\n9362 14110\n65210 97823\n61755 92693\n41086 61712\n22115 33269\n2008 3030\n86852 100000\n17218 25891\n28419 42701\n54250 81432\n85425 100000\n49872 74890\n10186 15339\n91138 100000\n55289 82985\n97761 100000\n31490 47354\n10046 15128\n73325 100000\n19983 30060\n67105 100000\n91903 100000\n3622 5430\n81833 100000\n51523 77337\n98935 100000\n66855 100000\n34699 52170\n19157 28819\n35359 53156\n67859 100000\n77606 100000\n32353 48666\n41917 62966\n76986 100000\n50982 76525\n12689 19109\n39125 58815\n2103 3171\n30977 46569\n58207 87360\n75398 100000\n37817 56861\n30606 46000\n58726 88153\n22704 34146\n2269 3430\n78803 100000\n71005 100000\n23783 35781\n34629 52055\n35982 54085\n91557 100000\n37206 55950\n78340 100000\n74467 100000\n31961 48061\n78209 100000\n66480 99734\n5709 8567\n5029 7548\n45087 67686\n77318 100000\n58797 88266\n51898 77905\n36875 55449\n28978 43547\n77645 100000\n43962 66021\n35910 53979\n48254 72469\n90183 100000\n708 1078\n11462 17268\n23635 35550\n16308 24519\n53087 79678\n44557 66883\n43018 64605\n72651 100000\n67793 100000\n555 841\n99618 100000\n98566 100000\n75390 100000\n68283 100000\n33837 50885\n55683 83579\n13633 20522\n47812 71779\n10027 15097\n48009 72089\n89613 100000\n66892 100000\n36734 55235\n50223 75408\n10486 15799\n31964 48065\n5128 7695\n32710 49205\n62742 94177\n9282 13984\n7152 10778\n19050 28666\n28976 43545\n69334 100000\n37872 56949\n30028 45118\n79334 100000\n22618 34021\n92961 100000\n2819 4255\n25959 39016\n65009 97518\n14839 22344\n59162 88811\n76591 100000\n9737 14662\n58070 87158\n32672 49150\n81588 100000\n4599 6901\n43940 65986\n66774 100000\n28770 43232\n48784 73265\n85354 100000\n36099 54272\n12963 19526\n68804 100000\n39969 60046\n64265 96422\n42598 63990\n27441 41247\n17415 26196\n98203 100000\n47050 70637\n58710 88127\n34285 51554\n50451 75743\n75394 100000\n51404 77169\n10553 15892\n70215 100000\n26552 39893\n83828 100000\n49089 73719\n53241 79903\n75767 100000\n783 1188\n56449 84713\n71500 100000\n86914 100000\n33497 50369\n92615 100000\n52733 79159\n38134 57329\n2000 3018\n98650 100000\n59267 88972\n1629 2464\n83857 100000\n93667 100000\n97226 100000\n87586 100000\n32118 48297\n20142 30301\n93210 100000\n51007 76566\n34166 51381\n30810 46305\n25821 38811\n32031 48163\n8870 13356\n27689 41616\n82055 100000\n76025 100000\n36526 54930\n48764 73239\n49592 74474\n11833 17842\n60898 91420\n85702 100000\n44694 67090\n28532 42873\n78894 100000\n57309 86011\n53337 80051\n46392 69658\n47087 70685\n13144 19795\n35308 53080\n73065 100000\n38048 57199\n4615 6924\n10944 16483\n20956 31537\n80626 100000\n75793 100000\n23380 35164\n67058 100000\n85796 100000\n15584 23426\n66970 100000\n25196 37887\n64394 96609\n31867 47923\n20143 30303\n99367 100000\n29113 43750\n90885 100000\n94215 100000\n78806 100000\n17394 26166\n89388 100000\n6418 9650\n77146 100000\n95835 100000\n44810 67263\n79708 100000\n93049 100000\n35254 52993\n4362 6544\n34373 51686\n43734 65679\n24751 37225\n56038 84115\n21577 32450\n84610 100000\n98471 100000\n5381 8086\n73485 100000\n4959 7439\n37505 56398\n51418 77186\n34385 51703\n8553 12894\n40258 60475\n97405 100000\n53736 80645\n80519 100000\n37041 55702\n84215 100000\n98013 100000\n71670 100000\n79148 100000\n49228 73928\n37622 56568\n40250 60464\n24669 37104\n41538 62395\n65348 98021\n66226 99354\n31204 46918\n23012 34604\n87434 100000\n26039 39129\n9054 13636\n84512 100000\n7869 11855\n91167 100000\n2224 3356\n68290 100000\n4718 7079\n93558 100000\n38146 57346\n49477 74297\n15025 22617\n34394 51714\n15344 23075\n31649 47597\n76702 100000\n90659 100000\n33291 50068\n13743 20686\n42273 63489\n97148 100000\n80182 100000\n34383 51699\n25840 38839\n94419 100000\n57394 86138\n52244 78429\n33685 50654\n64647 96990\n91865 100000\n72524 100000\n93860 100000\n85974 100000\n80178 100000\n17046 25635\n66733 100000\n93418 100000\n43961 66019\n38261 57523\n50221 75406\n9516 14336\n8876 13365\n67341 100000\n33273 50046\n43040 64634\n37852 56916\n27489 41313\n41172 61836\n21425 32228\n92541 100000\n58778 88235\n28235 42420\n90112 100000\n15936 23946\n77573 100000\n7153 10780\n83505 100000\n2138 3222\n18707 28145\n43210 64879\n27582 41452\n7956 11988\n50161 75309\n78302 100000\n11602 17486\n79166 100000\n92751 100000\n63357 95088\n58654 88042\n30694 46138\n55641 83513\n30944 46516\n71836 100000\n65527 98292\n88092 100000\n43788 65760\n5807 8714\n21403 32193\n25633 38533\n57422 86176\n81545 100000\n55719 83634\n66291 99449\n16538 24863\n35945 54032\n63606 95457\n46684 70088\n33330 50129\n34950 52546\n80740 100000\n73233 100000\n99556 100000\n1972 2980\n23357 35125\n36176 54390\n67671 100000\n85329 100000\n38276 57547\n52540 78877\n1497 2258\n42413 63698\n7012 10562\n87359 100000\n17755 26712\n93665 100000\n31242 46979\n16057 24139\n72531 100000\n92132 100000\n27823 41818\n37320 56122\n98433 100000\n43135 64770\n5667 8501\n75923 100000\n15225 22905\n25552 38407\n92992 100000\n21381 32161\n79592 100000\n72309 100000\n13455 20260\n28836 43336\n63791 95725\n12418 18714\n60753 91192\n94894 100000\n2576 3889\n73927 100000\n94417 100000\n21733 32692\n67856 100000\n22827 34331\n83914 100000\n73831 100000\n1163 1759\n33407 50241\n25481 38308\n63236 94911\n57528 86338\n81203 100000\n19749 29700\n98243 100000\n45437 68220\n22602 33996\n46231 69412\n6912 10400\n28879 43398\n66099 99157\n46836 70323\n76015 100000\n48505 72860\n96607 100000\n14855 22368\n51094 76697\n44857 67328\n81255 100000\n10246 15433\n15761 23684\n33389 50211\n42228 63420\n95395 100000\n22288 33532\n21041 31654\n64795 97216\n29557 44419\n43003 64582\n22832 34338\n31653 47604\n2414 3648\n71381 100000\n80896 100000\n22244 33461\n75313 100000\n46539 69878\n3145 4745\n6633 9970\n5284 7943\n20010 30100\n9757 14693\n56708 85088\n74240 100000\n32114 48293\n28441 42735\n44406 66663\n18278 27507\n84882 100000\n37301 56093\n25631 38529\n40319 60564\n47670 71567\n97254 100000\n73419 100000\n24552 36926\n27805 41792\n66674 100000\n10617 15990\n74397 100000\n34742 52234\n13835 20834\n52150 78287\n47054 70642\n74495 100000\n88798 100000\n29361 44124\n3895 5842\n57270 85952\n60305 90519\n34050 51206\n16314 24528\n60059 90153\n48920 73464\n67957 100000\n8928 13449\n28495 42815\n92855 100000\n78917 100000\n53059 79639\n59005 88576\n4407 6614\n8980 13529\n4714 7073\n28941 43490\n54571 81907\n11870 17900\n75571 100000\n67746 100000\n11336 17071\n27892 41912\n90888 100000\n44097 66222\n20400 30697\n90472 100000\n99592 100000\n15837 23801\n34545 51928\n13452 20255\n60191 90345\n4118 6180\n76686 100000\n34944 52537\n54666 82045\n73598 100000\n5307 7981\n22363 33635\n17266 25963\n96863 100000\n9763 14701\n54225 81387\n54303 81518\n86072 100000\n74151 100000\n63585 95429\n76928 100000\n39244 58984\n15458 23241\n29372 44141\n89899 100000\n21793 32781\n57429 86187\n40682 61112\n75032 100000\n73151 100000\n39759 59740\n14219 21409\n76568 100000\n61318 92042\n94471 100000\n5748 8623\n35343 53131\n41341 62090\n66133 99212\n18510 27851\n24308 36555\n38706 58193\n51474 77268\n29820 44807\n34530 51907\n85301 100000\n67045 100000\n26933 40470\n23924 36002\n20537 30905\n7858 11838\n45877 68878\n57685 86579\n98744 100000\n99505 100000\n56193 84342\n43705 65635\n36124 54310\n68243 100000\n80693 100000\n84306 100000\n14033 21127\n86205 100000\n17759 26718\n90032 100000\n39232 58965\n50645 76024\n7754 11693\n55068 82644\n49492 74321\n31476 47335\n69133 100000\n33215 49962\n16244 24428\n43180 64838\n28683 43102\n83774 100000\n12292 18520\n92561 100000\n63911 95899\n34891 52464\n11937 18002\n48815 73309\n32359 48676\n24476 36806\n33889 50961\n71884 100000\n91957 100000\n99337 100000\n82873 100000\n46660 70052\n75567 100000\n57940 86960\n6352 9540\n56115 84223\n79817 100000\n28516 42848\n79966 100000\n3771 5658\n5812 8723\n88705 100000\n70240 100000\n93594 100000\n42398 63679\n15260 22956\n15629 23493\n25880 38903\n28896 43419\n83252 100000\n59582 89442\n16013 24072\n23257 34967\n82298 100000\n70419 100000\n54647 82017\n23438 35246\n86291 100000\n30729 46193\n16666 25059\n25545 38397\n25843 38845\n49891 74917\n74121 100000\n49832 74825\n51511 77319\n73742 100000\n97982 100000\n47003 70568\n84654 100000\n86480 100000\n56527 84826\n129 194\n32808 49356\n59665 89567\n99436 100000\n82550 100000\n52772 79216\n72793 100000\n51522 77335\n10488 15801\n64762 97162\n65517 98280\n3644 5464\n74662 100000\n40513 60849\n56526 84824\n6001 9007\n62869 94369\n73363 100000\n17615 26499\n72512 100000\n21081 31714\n45942 68977\n20234 30439\n42001 63087\n89583 100000\n57255 85931\n91537 100000\n93791 100000\n47511 71323\n78444 100000\n94683 100000\n47908 71928\n75685 100000\n94614 100000\n25207 37902\n66147 99237\n96332 100000\n32293 48576\n21335 32095\n48746 73217\n14818 22316\n21286 32025\n67387 100000\n26817 40298\n12908 19447\n67771 100000\n88100 100000\n58007 87066\n68171 100000\n74230 100000\n54021 81079\n51734 77652\n82527 100000\n95500 100000\n89349 100000\n49770 74738\n9169 13806\n3263 4920\n12285 18510\n18580 27951\n1311 1975\n14048 21148\n74152 100000\n85034 100000\n21829 32837\n37862 56932\n67691 100000\n13695 20612\n31408 47228\n42042 63144\n64875 97334\n29678 44600\n79192 100000\n61546 92384\n73259 100000\n9553 14390\n10528 15859\n64999 97505\n13329 20073\n60646 91033\n14405 21697\n59753 89706\n26770 40227\n33678 50643\n89861 100000\n77693 100000\n88818 100000\n6000 9005\n125 187\n51430 77203\n93889 100000\n41908 62952\n19937 29984\n77497 100000\n46365 69618\n80070 100000\n63719 95619\n18275 27502\n40694 61131\n30753 46226\n8660 13047\n28283 42492\n76471 100000\n62392 93647\n57975 87013\n16927 25455\n52172 78319\n29736 44694\n40669 61096\n82346 100000\n29147 43801\n53788 80727\n41867 62888\n15739 23648\n25440 38253\n77 114\n12922 19464\n7468 11253\n2384 3605\n24866 37394\n86214 100000\n76406 100000\n31228 46955\n18940 28499\n38268 57533\n77545 100000\n53532 80341\n5398 8111\n38829 58381\n17962 27025\n35629 53556\n3055 4610\n50579 75931\n99718 100000\n64340 96530\n47894 71906\n85584 100000\n8112 12222\n58130 87250\n83560 100000\n73851 100000\n70253 100000\n13660 20564\n24883 37417\n88395 100000\n1396 2104\n49795 74774\n65164 97753\n91632 100000\n47840 71819\n63233 94907\n38471 57844\n37840 56896\n42249 63451\n37493 56379\n94824 100000\n82730 100000\n45512 68329\n21875 32908\n1242 1871\n15529 23342\n11778 17760\n12768 19232\n2852 4309\n31751 47749\n47777 71726\n58206 87358\n58033 87103\n86865 100000\n80276 100000\n42100 63228\n39397 59219\n841 1277\n395 591\n17055 25648\n85030 100000\n9330 14060\n30742 46211\n58410 87672\n79716 100000\n96240 100000\n33679 50644\n17153 25791\n33794 50818\n80328 100000\n6054 9086\n92602 100000\n15014 22601\n54975 82510\n21933 32994\n22465 33793\n33494 50366\n63087 94695\n58254 87436\n81246 100000\n26012 39092\n17786 26759\n66497 99759\n90525 100000\n31864 47918\n62543 93871\n83002 100000\n50973 76513\n33143 49859\n43639 65537\n71998 100000\n56626 84969\n1286 1938\n95026 100000\n6916 10406\n94608 100000\n30721 46180\n47005 70570\n64440 96677\n62952 94489\n37654 56620\n79689 100000\n95710 100000\n13861 20875\n67232 100000\n94181 100000\n32465 48833\n36112 54292\n94307 100000\n55213 82871\n6463 9719\n69141 100000\n34503 51870\n47776 71725\n80418 100000\n31192 46898\n15437 23210\n22782 34260\n89877 100000\n14681 22105\n63161 94803\n82875 100000\n97743 100000\n75154 100000\n39315 59095\n28373 42633\n60287 90492\n1115 1686\n36356 54675\n53597 80436\n994 1505\n39602 59512\n7979 12022\n40668 61094\n91874 100000\n18532 27883\n73967 100000\n2093 3155\n59895 89909\n55109 82712\n27243 40940\n69187 100000\n12324 18572\n34519 51892\n70729 100000\n63184 94837\n34904 52484\n28654 43062\n42437 63736\n90816 100000\n81795 100000\n21300 32048\n57380 86115\n52214 78385\n40277 60504\n49035 73635\n20506 30859\n84288 100000\n56669 85031\n37054 55719\n69696 100000\n66091 99145\n35 50\n49038 73640\n60384 90640\n47657 71545\n19216 28904\n91719 100000\n55172 82811\n74118 100000\n84806 100000\n40895 61429\n65098 97651\n4057 6097\n52188 78344\n37215 55961\n43145 64785\n32191 48418\n38547 57962\n20935 31504\n61439 92223\n26209 39389\n39867 59894\n18640 28041\n70996 100000\n25389 38172\n67620 100000\n51927 77948\n99814 100000\n87120 100000\n87285 100000\n67507 100000\n67318 100000\n23787 35788\n58181 87325\n57950 86974\n93395 100000\n32329 48631\n79471 100000\n68585 100000\n24009 36115\n51791 77737\n418 628\n37999 57129\n52612 78979\n66626 99955\n88873 100000\n8812 13275\n46367 69622\n50949 76479\n78629 100000\n65783 98672\n26180 39343\n41308 62041\n78219 100000\n17099 25709\n9113 13722\n65530 98296\n65621 98429\n84430 100000\n69846 100000\n37395 56232\n28357 42608\n22218 33420\n36791 55320\n53321 80024\n80788 100000\n57330 86041\n51926 77947\n97204 100000\n95534 100000\n58650 88035\n64567 96871\n99304 100000\n83529 100000\n44514 66816\n43188 64849\n86086 100000\n30708 46159\n91762 100000\n95263 100000\n84049 100000\n40063 60184\n73921 100000\n77312 100000\n20212 30404\n81406 100000\n27648 41554\n16833 25305\n94485 100000\n39858 59881\n81039 100000\n1086 1643\n4674 7013\n68578 100000\n35668 53613\n16248 24434\n14884 22409\n33201 49942\n54937 82452\n16067 24152\n32233 48486\n76831 100000\n30636 46046\n68126 100000\n73161 100000\n87004 100000\n83520 100000\n51233 76903\n9883 14876\n5210 7827\n64011 96043\n18337 27593\n74473 100000\n24401 36694\n92448 100000\n66599 99911\n90368 100000\n65112 97672\n53545 80364\n68468 100000\n62502 93805\n6889 10364\n22190 33380\n22738 34195\n58716 88136\n16024 24089\n2958 4463\n80091 100000\n81541 100000\n19450 29255\n67631 100000\n41902 62942\n32586 49022\n96551 100000\n10455 15756\n5442 8176\n91710 100000\n56973 85503\n75620 100000\n73166 100000\n40920 61466\n91047 100000\n43129 64761\n41603 62490\n48637 73050\n28997 43580\n12672 19085\n86097 100000\n31710 47689\n98233 100000\n13285 20005\n74007 100000\n47555 71389\n9283 13986\n65961 98944\n79120 100000\n51987 78042\n33041 49704\n25083 37718\n71592 100000\n89248 100000\n83546 100000\n21103 31745\n89741 100000\n14324 21574\n50946 76475\n35316 53093\n21108 31753\n14011 21095\n92689 100000\n46584 69942\n24592 36985\n88205 100000\n205 304\n43984 66053\n2752 4157\n6121 9190\n42049 63154\n83433 100000\n55928 83944\n42843 64347\n75902 100000\n71006 100000\n45189 67838\n28398 42671\n93412 100000\n69737 100000\n41461 62276\n45076 67670\n16950 25488\n91902 100000\n56495 84778\n70732 100000\n50408 75677\n12214 18404\n52346 78584\n87147 100000\n4987 7483\n71748 100000\n38600 58037\n46931 70466\n42503 63839\n43313 65048\n51109 76718\n62004 93062\n17938 26991\n46501 69824\n89539 100000\n23819 35837\n48974 73542\n95033 100000\n21838 32850\n31230 46959\n5217 7837\n40935 61490\n91971 100000\n51832 77798\n23808 35822\n8286 12492\n86923 100000\n64189 96310\n42283 63505\n38513 57909\n94055 100000\n64938 97420\n37891 56974\n6672 10031\n10495 15810\n47673 71573\n2252 3403\n36216 54458\n6250 9378\n8985 13535\n17486 26298\n1058 1599\n11764 17742\n24123 36282\n82519 100000\n78075 100000\n42243 63442\n89253 100000\n90083 100000\n24317 36569\n41785 62762\n78400 100000\n7431 11194\n45638 68516\n79013 100000\n28797 43273\n37304 56097\n11224 16902\n56736 85140\n83640 100000\n40119 60272\n62666 94061\n43960 66017\n44832 67296\n12253 18460\n94632 100000\n69147 100000\n54256 81442\n61643 92526\n34215 51455\n68020 100000\n95488 100000\n83850 100000\n94874 100000\n72951 100000\n17727 26669\n45535 68365\n52989 79540\n78049 100000\n89341 100000\n10183 15335\n26634 40012\n71750 100000\n27379 41146\n30659 46077\n97030 100000\n19042 28656\n201 297\n38611 58053\n62901 94417\n90870 100000\n11081 16681\n81434 100000\n23234 34937\n69013 100000\n30207 45393\n13476 20290\n4347 6523\n87864 100000\n87396 100000\n65746 98616\n47350 71081\n58160 87294\n90350 100000\n82107 100000\n93190 100000\n57365 86092\n19362 29123\n35092 52756\n98897 100000\n90874 100000\n20990 31586\n7966 12000\n22085 33222\n46621 69991\n90664 100000\n83116 100000\n80405 100000\n51086 76684\n69445 100000\n34842 52392\n7472 11260\n85390 100000\n21825 32830\n55371 83106\n91260 100000\n65189 97793\n13202 19881\n21819 32821\n92293 100000\n62322 93542\n85522 100000\n45838 68818\n82236 100000\n43035 64628\n10952 16494\n45098 67704\n97384 100000\n84132 100000\n52074 78171\n2606 3935\n79919 100000\n49120 73765\n40846 61353\n94095 100000\n20614 31017\n22358 33628\n85196 100000\n3270 4929\n39761 59743\n59810 89786\n13176 19843\n25634 38534\n85704 100000\n21414 32211\n82148 100000\n20445 30764\n18975 28553\n18854 28375\n1709 2589\n83237 100000\n5190 7797\n38220 57460\n30486 45812\n40714 61158\n52634 79012\n35866 53913\n81587 100000\n59974 90028\n15692 23583\n95457 100000\n30109 45239\n49986 75057\n93858 100000\n68129 100000\n56179 84319\n41008 61592\n38894 58475\n63739 95647\n35595 53508\n70699 100000\n21897 32941\n64491 96756\n76943 100000\n29042 43644\n29602 44489\n91735 100000\n35792 53801\n39716 59686\n75153 100000\n45110 67720\n25699 38632\n24068 36200\n85780 100000\n44511 66811\n45269 67966\n76935 100000\n20091 30227\n69950 100000\n89989 100000\n73629 100000\n74983 100000\n38321 57618\n48710 73163\n22687 34120\n80493 100000\n41410 62197\n81162 100000\n57959 86988\n7853 11830\n48913 73455\n78161 100000\n56879 85362\n64626 96957\n42414 63700\n55208 82864\n57186 85829\n19380 29151\n77445 100000\n59222 88904\n31024 46640\n21606 32498\n18811 28305\n4525 6788\n27712 41650\n16941 25476\n31713 47692\n65378 98064\n59210 88882\n24598 36995\n50987 76533\n79915 100000\n18993 28580\n38057 57208\n46230 69410\n99378 100000\n96025 100000\n95062 100000\n27373 41134\n3682 5522\n16280 24480\n73818 100000\n47312 71022\n29690 44619\n13094 19722\n46609 69975\n83490 100000\n30885 46422\n80466 100000\n45939 68972\n34638 52069\n19261 28972\n33493 50365\n61813 92779\n72237 100000\n55687 83586\n64890 97356\n75529 100000\n76503 100000\n40475 60796\n62598 93962\n7493 11293\n40595 60982\n33396 50223\n64893 97361\n45529 68356\n91168 100000\n12542 18892\n84352 100000\n45857 68847\n49506 74344\n64573 96881\n16023 24087\n78147 100000\n72329 100000\n64117 96203\n23550 35416\n4938 7412\n51776 77715\n19693 29615\n98028 100000\n83938 100000\n92686 100000\n46017 69093\n44087 66207\n71483 100000\n61780 92731\n23856 35897\n54236 81406\n30188 45364\n6817 10258\n31844 47886\n35642 53576\n22941 34497\n78277 100000\n66113 99181\n26319 39552\n77954 100000\n40925 61474\n78047 100000\n60085 90194\n38634 58089\n11250 16944\n58728 88156\n48042 72142\n79245 100000\n71734 100000\n46695 70103\n26536 39870\n28494 42813\n91388 100000\n86579 100000\n9827 14790\n80507 100000\n48275 72501\n26804 40278\n64079 96148\n82580 100000\n59474 89290\n60825 91308\n59175 88831\n6397 9615\n29779 44752\n36546 54959\n78182 100000\n2188 3302\n12787 19259\n3957 5942\n26737 40174\n22582 33965\n77697 100000\n37820 56867\n70764 100000\n24498 36842\n43915 65948\n5455 8193\n14995 22573\n39262 59011\n61693 92601\n97639 100000\n50554 75893\n70828 100000\n12804 19286\n22584 33968\n57341 86059\n36647 55110\n65969 98955\n99259 100000\n83872 100000\n31055 46687\n33915 51000\n47868 71863\n46847 70341\n20829 31345\n57466 86244\n41762 62725\n53376 80110\n28618 43009\n96709 100000\n71160 100000\n32296 48582\n70497 100000\n62930 94459\n23958 36046\n37026 55680\n14023 21112\n7525 11342\n78112 100000\n61721 92641\n22965 34536\n46984 70538\n24571 36951\n28661 43071\n17954 27014\n14960 22519\n21062 31688\n7813 11773\n48596 72992\n7591 11446\n20843 31366\n29976 45042\n90340 100000\n37106 55799\n28999 43582\n77319 100000\n80335 100000\n96319 100000\n97298 100000\n53645 80507\n50777 76223\n86100 100000\n2146 3237\n93496 100000\n18230 27434\n54734 82147\n7519 11332\n25252 37968\n19741 29688\n68092 100000\n51771 77707\n62737 94169\n79507 100000\n26823 40309\n60808 91283\n86253 100000\n21331 32090\n37305 56098\n9006 13568\n91303 100000\n98086 100000\n48914 73456\n33865 50924\n72850 100000\n45332 68062\n15073 22692\n20135 30292\n77213 100000\n36654 55121\n37388 56222\n82621 100000\n77232 100000\n67280 100000\n26407 39684\n75956 100000\n77590 100000\n23513 35358\n82265 100000\n44435 66705\n14165 21320\n40737 61197\n85518 100000\n99429 100000\n38685 58160\n28140 42277\n42114 63248\n19880 29899\n25492 38324\n36012 54135\n7201 10851\n7977 12018\n10721 16146\n42082 63202\n8936 13460\n65058 97591\n17895 26925\n54629 81991\n14352 21615\n27732 41679\n17350 26099\n71676 100000\n38262 57524\n4247 6371\n70961 100000\n30335 45579\n55464 83249\n8702 13110\n99311 100000\n26109 39237\n26140 39284\n66189 99292\n45941 68975\n25243 37952\n37248 56012\n54878 82363\n66126 99202\n25127 37782\n98112 100000\n90926 100000\n62838 94324\n49131 73782\n4766 7151\n7314 11018\n71029 100000\n46831 70315\n71737 100000\n25104 37750\n91501 100000\n31934 48020\n92278 100000\n12308 18548\n1026 1554\n99752 100000\n85937 100000\n74985 100000\n19654 29552\n67443 100000\n46532 69867\n12921 19462\n32893 49482\n36072 54229\n82780 100000\n60325 90553\n31317 47087\n96896 100000\n30645 46060\n43349 65105\n65823 98734\n76386 100000\n73130 100000\n86749 100000\n30312 45545\n31939 48028\n59847 89839\n97271 100000\n81457 100000\n66886 100000\n95977 100000\n7028 10588\n55818 83785\n56324 84536\n53144 79761\n50658 76046\n29151 43806\n99430 100000\n4220 6331\n53270 79948\n9695 14602\n332 499\n41945 63006\n38613 58057\n79399 100000\n85012 100000\n26014 39095\n18282 27512\n61574 92423\n19491 29315\n12245 18447\n65360 98039\n84170 100000\n36720 55216\n8505 12822\n26548 39889\n35032 52664\n58959 88505\n95109 100000\n54352 81584\n29735 44693\n60865 91371\n46995 70556\n6680 10044\n32843 49408\n18488 27820\n73207 100000\n15368 23109\n66167 99264\n62754 94195\n3165 4775\n25354 38118\n19858 29869\n20691 31136\n26677 40078\n64331 96515\n51960 77997\n15922 23928\n22605 34001\n18076 27202\n92100 100000\n75067 100000\n86783 100000\n77655 100000\n98059 100000\n54800 82250\n57447 86214\n33094 49783\n81115 100000\n41101 61734\n14477 21803\n99264 100000\n17469 26271\n14349 21611\n66424 99655\n69033 100000\n1687 2551\n6923 10416\n5485 8236\n3060 4618\n36327 54634\n16198 24357\n26885 40401\n43041 64635\n20505 30857\n53304 79999\n45288 67994\n5844 8771\n77901 100000\n82976 100000\n38907 58496\n93580 100000\n20726 31187\n95558 100000\n39678 59627\n26297 39518\n52621 78993\n92545 100000\n63976 95993\n21556 32413\n52481 78785\n23599 35494\n24894 37434\n29760 44726\n90463 100000\n81793 100000\n97282 100000\n75151 100000\n95513 100000\n12878 19402\n76381 100000\n92631 100000\n81241 100000\n78158 100000\n42187 63356\n76457 100000\n47109 70717\n84249 100000\n8586 12942\n60124 90254\n54603 81953\n61199 91867\n93487 100000\n39273 59029\n75152 100000\n71426 100000\n83954 100000\n54246 81424\n58466 87758\n39953 60021\n38183 57401\n84966 100000\n45453 68245\n64785 97202\n64657 97007\n27035 40624\n55553 83384\n98038 100000\n16234 24412\n70964 100000\n46835 70321\n3760 5640\n77585 100000\n10257 15450\n8463 12757\n16615 24982\n97685 100000\n62222 93393\n63609 95463\n60077 90180\n6854 10312\n23894 35958\n42799 64284\n74761 100000\n37427 56277\n36853 55415\n55422 83181\n83973 100000\n27537 41386\n38525 57929\n98487 100000\n63086 94693\n6112 9175\n5729 8596\n25323 38070\n15795 23732\n30147 45296\n72214 100000\n52527 78858\n61943 92976\n75967 100000\n75874 100000\n46115 69233\n51266 76954\n47829 71802\n98732 100000\n42781 64258\n52974 79518\n88127 100000\n9639 14520\n52670 79067\n14231 21425\n40212 60411\n13516 20343\n83111 100000\n78402 100000\n71431 100000\n43365 65128\n32731 49235\n70284 100000\n46691 70097\n57931 86948\n11538 17386\n85763 100000\n99279 100000\n99822 100000\n27004 40576\n67471 100000\n51209 76866\n45982 69039\n34922 52508\n51587 77432\n98960 100000\n23272 34992\n57475 86255\n27005 40578\n13386 20156\n67681 100000\n8721 13134\n58640 88019\n5244 7877\n95939 100000\n38771 58294\n30340 45584\n41233 61928\n5887 8838\n33397 50224\n21309 32061\n79162 100000\n54426 81692\n20172 30344\n35094 52760\n12784 19254\n52923 79439\n61194 91861\n56536 84838\n75046 100000\n95753 100000\n40467 60784\n70486 100000\n33326 50122\n44652 67026\n76043 100000\n29952 45009\n72841 100000\n26813 40293\n95984 100000\n78217 100000\n66539 99822\n72323 100000\n40651 61066\n56452 84716\n409 615\n7177 10813\n26015 39096\n13892 20918\n86196 100000\n15787 23721\n17612 26494\n29152 43808\n34163 51376\n84014 100000\n79788 100000\n92933 100000\n1320 1990\n79365 100000\n87535 100000\n81758 100000\n62526 93844\n98691 100000\n32906 49500\n18864 28388\n48951 73510\n35294 53056\n3876 5816\n89771 100000\n73607 100000\n69830 100000\n48782 73263\n92641 100000\n25039 37652\n26563 39909\n51024 76590\n79187 100000\n38702 58187\n7054 10626\n14171 21331\n72564 100000\n93609 100000\n28638 43041\n42783 64261\n74800 100000\n91153 100000\n7093 10688\n74931 100000\n97301 100000\n46982 70535\n43172 64828\n41259 61969\n1413 2128\n86210 100000\n70433 100000\n95560 100000\n40722 61170\n99735 100000\n34233 51481\n3974 5970\n4701 7055\n56775 85203\n47017 70589\n10896 16405\n89386 100000\n66436 99670\n87338 100000\n84062 100000\n96184 100000\n88676 100000\n80631 100000\n43315 65052\n16591 24944\n26372 39633\n24035 36154\n1450 2186\n1882 2849\n58275 87469\n46861 70366\n7434 11198\n24042 36163\n90299 100000\n44619 66977\n43263 64969\n63464 95241\n39662 59605\n19360 29119\n11714 17665\n34287 51556\n1667 2523\n17783 26755\n64448 96690\n94437 100000\n67774 100000\n37000 55643\n16232 24408\n39686 59640\n55460 83245\n90512 100000\n18176 27351\n73815 100000\n91006 100000\n6974 10497\n88077 100000\n89990 100000\n24058 36187\n79972 100000\n58760 88205\n42276 63493\n82512 100000\n4289 6436\n72311 100000\n26555 39897\n15063 22677\n42404 63688\n93416 100000\n93054 100000\n15790 23724\n47299 71003\n78422 100000\n33819 50856\n70792 100000\n33723 50714\n87734 100000\n84765 100000\n75256 100000\n56735 85139\n72424 100000\n1277 1926\n5149 7732\n13394 20167\n84985 100000\n6730 10123\n31172 46868\n52999 79553\n42846 64353\n45079 67673\n57780 86722\n67729 100000\n49353 74114\n70939 100000\n56739 85144\n54650 82021\n87366 100000\n71898 100000\n87809 100000\n50167 75318\n29495 44324\n31156 46843\n19330 29074\n79082 100000\n96970 100000\n17970 27039\n56997 85538\n36251 54514\n20177 30352\n40606 60999\n46434 69721\n15191 22852\n46159 69304\n75463 100000\n81035 100000\n71311 100000\n68220 100000\n97700 100000\n55543 83368\n1705 2581\n46204 69372\n45166 67805\n75631 100000\n8317 12535\n38209 57443\n8512 12829\n4418 6631\n83152 100000\n87681 100000\n80716 100000\n54234 81403\n22789 34270\n98005 100000\n67466 100000\n37755 56772\n57221 85885\n10784 16241\n36197 54424\n71854 100000\n71815 100000\n35830 53860\n33706 50685\n68361 100000\n7520 11334\n36045 54188\n83090 100000\n90750 100000\n8292 12501\n9572 14417\n22834 34341\n78 115\n29180 43851\n65065 97602\n78614 100000\n4753 7130\n47642 71522\n91521 100000\n15828 23786\n98327 100000\n92358 100000\n27744 41699\n5953 8938\n71110 100000\n79828 100000\n73901 100000\n83009 100000\n22868 34393\n92018 100000\n6939 10439\n33249 50012\n77364 100000\n96433 100000\n19758 29711\n67993 100000\n47645 71527\n35374 53177\n77715 100000\n40320 60565\n18260 27479\n86792 100000\n12992 19571\n83971 100000\n95700 100000\n93345 100000\n35466 53312\n37103 55795\n37030 55686\n88049 100000\n22890 34429\n24222 36434\n28302 42520\n69607 100000\n77038 100000\n96659 100000\n40058 60178\n92852 100000\n92895 100000\n97631 100000\n2662 4022\n35179 52883\n9771 14715\n44247 66433\n97085 100000\n58051 87127\n72891 100000\n72222 100000\n20035 30139\n67648 100000\n48590 72983\n42447 63752\n5798 8699\n93577 100000\n64365 96565\n12251 18457\n40554 60913\n60390 90648\n50924 76440\n58771 88223\n82927 100000\n2869 4333\n93006 100000\n3996 6000\n63145 94780\n87056 100000\n41732 62684\n92564 100000\n88932 100000\n33704 50681\n62890 94400\n71678 100000\n83074 100000\n70187 100000\n56650 85003\n29571 44444\n62297 93505\n86427 100000\n20134 30291\n50965 76501\n97464 100000\n27974 42039\n40910 61450\n40878 61405\n642 975\n63729 95632\n53238 79900\n64153 96255\n48065 72179\n27554 41408\n32152 48354\n57089 85683\n27405 41188\n71288 100000\n35155 52845\n10111 15229\n90675 100000\n98388 100000\n96589 100000\n54336 81564\n12621 19007\n45872 68872\n38152 57356\n67697 100000\n94035 100000\n77310 100000\n88491 100000\n49152 73811\n38969 58590\n63331 95050\n28939 43488\n89711 100000\n82578 100000\n69836 100000\n96374 100000\n48473 72808\n92207 100000\n82795 100000\n89235 100000\n59475 89292\n65987 98982\n98128 100000\n34191 51420\n94902 100000\n75655 100000\n82700 100000\n15166 22821\n39856 59878\n68622 100000\n10468 15771\n19484 29306\n94134 100000\n14241 21440\n76237 100000\n95346 100000\n22024 33126\n10436 15730\n62821 94300\n88681 100000\n74953 100000\n65776 98660\n66782 100000\n95219 100000\n16441 24717\n61431 92210\n81828 100000\n34182 51406\n52303 78519\n89099 100000\n7828 11795\n75087 100000\n74898 100000\n56026 84100\n83045 100000\n90462 100000\n81471 100000\n24871 37402\n58940 88479\n39338 59132\n79913 100000\n46096 69207\n92629 100000\n8248 12434\n18156 27322\n29016 43604\n38329 57631\n25019 37619\n22360 33630\n73320 100000\n74933 100000\n20124 30277\n23758 35744\n1454 2191\n34239 51490\n13148 19802\n94109 100000\n78221 100000\n45530 68358\n86721 100000\n45821 68793\n33344 50146\n52816 79277\n22534 33889\n91616 100000\n39452 59295\n77262 100000\n66384 99591\n6411 9639\n12039 18153\n54288 81493\n35427 53254\n94964 100000\n91312 100000\n36731 55231\n16827 25297\n22122 33278\n40180 60368\n49045 73650\n52260 78454\n50719 76136\n79402 100000\n38353 57668\n991 1500\n50694 76098\n34773 52284\n59846 89837\n64576 96887\n3333 5018\n38277 57548\n9345 14082\n93232 100000\n33142 49857\n96200 100000\n77996 100000\n10235 15417\n91310 100000\n73953 100000\n86502 100000\n41212 61895\n10009 15069\n31677 47641\n26463 39766\n72520 100000\n51892 77895\n16674 25074\n14976 22545\n84984 100000\n17154 25793\n3047 4597\n86266 100000\n98044 100000\n95539 100000\n98824 100000\n17433 26220\n55786 83737\n31541 47431\n75455 100000\n14704 22140\n90412 100000\n55598 83450\n80098 100000\n62632 94009\n1654 2504\n34227 51473\n23318 35065\n78318 100000\n11112 16731\n41288 62011\n95390 100000\n37461 56331\n21592 32474\n9938 14960\n16481 24775\n87600 100000\n50787 76235\n83927 100000\n84988 100000\n949 1437\n21751 32720\n76271 100000\n48316 72569\n414 624\n6978 10504\n96790 100000\n72678 100000\n85670 100000\n76176 100000\n22671 34099\n74336 100000\n19953 30011\n56228 84395\n1258 1893\n35485 53340\n30736 46202\n73159 100000\n76133 100000\n23374 35154\n76031 100000\n14150 21297\n43275 64985\n30842 46356\n14348 21610\n22491 33829\n43724 65663\n26139 39282\n39407 59231\n66068 99111\n20771 31254\n55295 82994\n59627 89507\n77104 100000\n17893 26923\n67333 100000\n14470 21790\n96604 100000\n14064 21170\n42112 63245\n3544 5318\n22563 33934\n94397 100000\n18017 27112\n57895 86893\n78041 100000\n17072 25674\n52644 79029\n58834 88324\n21931 32991\n59044 88635\n98853 100000\n26151 39303\n1664 2517\n95401 100000\n28621 43014\n52581 78934\n72716 100000\n58073 87161\n43095 64712\n84849 100000\n22472 33804\n38981 58611\n65505 98262\n17195 25854\n67743 100000\n32134 48322\n48996 73576\n12174 18349\n49322 74068\n25398 38184\n87914 100000\n46806 70273\n88064 100000\n72267 100000\n7106 10708\n44987 67541\n9326 14054\n27065 40673\n98162 100000\n37635 56590\n42143 63288\n23321 35070\n99248 100000\n51746 77671\n66178 99279\n76267 100000\n84573 100000\n72404 100000\n90702 100000\n7706 11618\n35790 53798\n32728 49230\n18035 27141\n15164 22817\n6737 10133\n16226 24399\n12457 18772\n21852 32871\n37137 55848\n56550 84860\n85838 100000\n91994 100000\n65556 98331\n16056 24138\n35656 53594\n91892 100000\n14047 21147\n107 158\n23647 35570\n34527 51903\n78229 100000\n93007 100000\n8444 12731\n65633 98449\n6040 9067\n15550 23371\n5706 8562\n11576 17447\n39998 60092\n68967 100000\n22302 33552\n57152 85779\n48192 72375\n14031 21124\n87024 100000\n41365 62128\n50439 75726\n57679 86568\n93047 100000\n2917 4403\n48458 72785\n19267 28982\n32962 49590\n96890 100000\n61503 92319\n29706 44645\n17553 26401\n37699 56685\n19005 28599\n47646 71529\n53946 80968\n81316 100000\n72705 100000\n65113 97674\n48498 72850\n96376 100000\n10955 16498\n7026 10585\n46620 69989\n86715 100000\n58792 88257\n14119 21246\n34140 51341\n8031 12102\n18961 28533\n60764 91213\n18216 27413\n47391 71144\n19186 28865\n16593 24948\n20844 31367\n19416 29205\n84183 100000\n96742 100000\n57139 85758\n59841 89830\n51700 77604\n45906 68923\n16212 24379\n86099 100000\n5457 8195\n15244 22933\n88185 100000\n96089 100000\n17798 26776\n18608 27994\n95956 100000\n25006 37601\n68130 100000\n89834 100000\n93781 100000\n74868 100000\n25936 38984\n15588 23433\n72611 100000\n57525 86333\n3793 5692\n65206 97816\n14527 21878\n75522 100000\n44182 66347\n24847 37366\n43110 64733\n80428 100000\n63332 95051\n12326 18574\n82294 100000\n3835 5754\n36990 55627\n85243 100000\n13456 20262\n45353 68093\n1895 2868\n7140 10758\n71093 100000\n35121 52794\n59071 88676\n5281 7937\n94533 100000\n33303 50087\n25967 39028\n49389 74166\n73961 100000\n94420 100000\n43079 64691\n67699 100000\n27308 41040\n12494 18821\n56444 84708\n96570 100000\n27277 40992\n71994 100000\n64178 96292\n52246 78432\n43913 65945\n48508 72865\n86795 100000\n88097 100000\n10352 15600\n8986 13537\n6213 9322\n66986 100000\n556 843\n89429 100000\n77940 100000\n84356 100000\n63290 94988\n6704 10081\n82397 100000\n68565 100000\n70974 100000\n22938 34493\n76318 100000\n19863 29876\n50648 76028\n57137 85754\n66120 99192\n30014 45097\n80121 100000\n31894 47960\n431 649\n71297 100000\n73770 100000\n34337 51631\n89671 100000\n83296 100000\n58572 87922\n51272 76962\n72314 100000\n486 732\n94352 100000\n68013 100000\n55831 83804\n43810 65794\n28021 42107\n36336 54646\n28176 42332\n46905 70431\n75687 100000\n17002 25562\n87549 100000\n93887 100000\n13601 20471\n1909 2887\n19483 29304\n33710 50693\n87751 100000\n51945 77975\n37754 56770\n57936 86953\n50994 76543\n2245 3391\n31880 47942\n94262 100000\n87762 100000\n54630 81993\n84326 100000\n48968 73534\n23797 35802\n94612 100000\n62950 94487\n47146 70771\n63624 95485\n85753 100000\n66994 100000\n43692 65616\n72460 100000\n43921 65957\n93955 100000\n64891 97358\n21512 32350\n86500 100000\n26884 40399\n88624 100000\n92667 100000\n31818 47848\n12926 19470\n7545 11374\n368 552\n60598 90957\n12708 19136\n54672 82055\n3732 5598\n4097 6152\n530 805\n5304 7977\n48533 72900\n95541 100000\n45886 68893\n5920 8889\n27399 41179\n97916 100000\n67790 100000\n7750 11687\n97585 100000\n74448 100000\n31187 46890\n2535 3828\n16 23\n34996 52614\n95808 100000\n90551 100000\n99975 100000\n54392 81640\n94170 100000\n10066 15159\n46125 69248\n20991 31588\n58489 87792\n13725 20657\n99157 100000\n97447 100000\n51975 78023\n13988 21064\n22379 33656\n53852 80827\n44319 66542\n6081 9126\n7760 11703\n16586 24936\n66297 99460\n29441 44245\n35566 53465\n77332 100000\n36735 55237\n70256 100000\n80583 100000\n72875 100000\n73184 100000\n22332 33594\n78561 100000\n90458 100000\n96735 100000\n60585 90937\n64190 96311\n68310 100000\n11629 17530\n55704 83613\n95275 100000\n26287 39505\n99570 100000\n17213 25885\n35821 53846\n79651 100000\n5182 7784\n45468 68269\n19252 28958\n28084 42194\n2731 4129\n31253 46995\n40641 61051\n75177 100000\n46664 70058\n55837 83812\n81624 100000\n97544 100000\n20821 31333\n3098 4675\n13174 19839\n74034 100000\n26642 40025\n50894 76392\n49348 74107\n41848 62862\n31644 47590\n86693 100000\n43381 65151\n17613 26495\n12598 18972\n66850 100000\n11377 17130\n60159 90300\n12831 19327\n66246 99385\n93397 100000\n98277 100000\n72251 100000\n70819 100000\n37001 55644\n36052 54200\n63104 94722\n7669 11561\n39569 59464\n23355 35123\n86915 100000\n63354 95083\n19563 29420\n2203 3326\n76921 100000\n4652 6983\n78396 100000\n66310 99478\n54845 82315\n88556 100000\n51005 76562\n94085 100000\n59694 89611\n7235 10900\n75672 100000\n45603 68466\n14387 21667\n81929 100000\n66551 99841\n26608 39972\n24659 37087\n37709 56701\n82437 100000\n72812 100000\n54837 82305\n77449 100000\n35649 53585\n32402 48736\n85815 100000\n62453 93737\n51794 77742\n58169 87309\n95877 100000\n72279 100000\n91012 100000\n51293 76994\n56106 84212\n50516 75838\n76909 100000\n71938 100000\n24775 37258\n69629 100000\n7183 10824\n9062 13650\n18916 28461\n65849 98771\n287 430\n24339 36600\n79234 100000\n74046 100000\n92813 100000\n28555 42909\n17393 26164\n29304 44041\n92905 100000\n98736 100000\n91121 100000\n84304 100000\n43807 65790\n69111 100000\n11444 17239\n57770 86705\n32895 49484\n55757 83691\n46625 69996\n72091 100000\n92694 100000\n67908 100000\n93046 100000\n89221 100000\n23046 34653\n78053 100000\n88466 100000\n31481 47342\n8868 13354\n36483 54865\n81966 100000\n55763 83699\n78491 100000\n12185 18364\n37051 55715\n16465 24753\n46193 69356\n35598 53512\n17498 26317\n96796 100000\n38103 57277\n65266 97906\n34366 51674\n69251 100000\n91170 100000\n64736 97126\n84913 100000\n87233 100000\n29049 43656\n80974 100000\n63951 95959\n62416 93683\n91375 100000\n65160 97747\n86819 100000\n1729 2619\n6577 9885\n74497 100000\n14880 22402\n75577 100000\n7286 10981\n6057 9091\n71491 100000\n37125 55830\n46435 69723\n75314 100000\n71699 100000\n99341 100000\n75818 100000\n19743 29691\n22252 33474\n20623 31030\n15371 23112\n23231 34933\n36295 54582\n97598 100000\n18713 28156\n15567 23398\n28243 42431\n88975 100000\n76196 100000\n722 1098\n89269 100000\n19833 29827\n86057 100000\n27051 40651\n69475 100000\n70440 100000\n73395 100000\n6479 9742\n11189 16848\n66544 99829\n49890 74916\n71877 100000\n24964 37535\n89372 100000\n3980 5977\n68820 100000\n5232 7860\n23911 35982\n92232 100000\n53435 80200\n79022 100000\n41363 62126\n46174 69327\n93452 100000\n30912 46465\n89824 100000\n54064 81140\n46009 69082\n44293 66502\n89014 100000\n40116 60267\n97941 100000\n50990 76537\n18436 27743\n54071 81152\n27134 40777\n74706 100000\n74207 100000\n80703 100000\n48781 73261\n66615 99936\n20396 30690\n74980 100000\n55825 83794\n28041 42132\n96934 100000\n49625 74523\n1235 1860\n4549 6824\n64743 97135\n22367 33639\n18529 27880\n21551 32403\n22599 33991\n63917 95908\n23015 34607\n76528 100000\n16245 24429\n74252 100000\n20058 30176\n58969 88519\n82213 100000\n41712 62655\n66644 99981\n36369 54695\n54247 81426\n89784 100000\n50935 76456\n20698 31146\n21605 32496\n41575 62448\n52192 78350\n77339 100000\n14191 21363\n80936 100000\n22813 34308\n94558 100000\n24200 36398\n6624 9955\n83765 100000\n34005 51142\n26808 40285\n93814 100000\n55869 83856\n8723 13137\n81089 100000\n84429 100000\n897 1361\n34607 52023\n78401 100000\n21360 32130\n11186 16844\n20856 31384\n43943 65991\n9278 13979\n86198 100000\n35054 52698\n81454 100000\n74608 100000\n90098 100000\n21044 31660\n90398 100000\n98185 100000\n82250 100000\n47371 71113\n62888 94398\n94682 100000\n41714 62658\n56171 84306\n73786 100000\n61502 92317\n26545 39884\n80456 100000\n90503 100000\n63938 95939\n4324 6485\n99733 100000\n42322 63565\n92988 100000\n90631 100000\n93734 100000\n29645 44550\n57491 86281\n77892 100000\n80702 100000\n27536 41385\n67376 100000\n28128 42262\n63689 95579\n80101 100000\n79210 100000\n76622 100000\n75373 100000\n5039 7565\n84722 100000\n72994 100000\n82198 100000\n10016 15079\n38813 58355\n45216 67878\n45048 67630\n53660 80530\n21150 31817\n25702 38636\n2612 3945\n69511 100000\n96234 100000\n29040 43642\n73341 100000\n41091 61719\n78102 100000\n63451 95223\n23907 35977\n46776 70228\n38322 57620\n51508 77315\n81291 100000\n39608 59523\n38117 57303\n16326 24547\n97330 100000\n33977 51096\n16100 24203\n23556 35426\n94619 100000\n22398 33687\n85618 100000\n615 938\n68853 100000\n51750 77676\n83540 100000\n30039 45133\n60541 90870\n54216 81374\n40273 60497\n92411 100000\n52036 78115\n72801 100000\n34213 51453\n39611 59528\n45365 68115\n95585 100000\n75084 100000\n17957 27017\n33612 50544\n17737 26685\n64878 97338\n88947 100000\n98131 100000\n90961 100000\n81466 100000\n89919 100000\n34537 51919\n4885 7330\n4530 6795\n63944 95947\n98397 100000\n91036 100000\n31008 46613\n61254 91952\n36818 55358\n46658 70048\n27374 41136\n8959 13496\n72510 100000\n73954 100000\n35999 54115\n69969 100000\n89124 100000\n86778 100000\n52043 78124\n10733 16165\n54819 82279\n64835 97274\n88525 100000\n64620 96949\n93137 100000\n49569 74437\n85513 100000\n73916 100000\n81939 100000\n85845 100000\n47283 70977\n88069 100000\n37430 56283\n4338 6509\n33804 50832\n23128 34782\n58779 88237\n32604 49049\n67732 100000\n30245 45445\n89069 100000\n30136 45280\n40080 60214\n53892 80891\n73466 100000\n90764 100000\n11075 16673\n59124 88753\n34324 51610\n12827 19321\n92788 100000\n30882 46418\n29247 43953\n84549 100000\n94448 100000\n97478 100000\n44113 66244\n72811 100000\n87106 100000\n52596 78959\n77525 100000\n45907 68925\n28197 42360\n30140 45286\n92531 100000\n41984 63064\n94229 100000\n41718 62663\n310 464\n55183 82827\n88393 100000\n37533 56440\n35292 53054\n35095 52761\n63757 95674\n40140 60303\n70032 100000\n40087 60226\n63710 95607\n33828 50872\n31054 46686\n59993 90057\n99272 100000\n48967 73533\n78748 100000\n94285 100000\n71800 100000\n96187 100000\n52219 78391\n40284 60514\n48687 73126\n49109 73747\n38798 58334\n87911 100000\n90597 100000\n35993 54103\n79762 100000\n49988 75060\n70823 100000\n28422 42705\n40727 61180\n82646 100000\n62531 93852\n45921 68943\n34240 51491\n2567 3875\n85124 100000\n74376 100000\n12123 18280\n42726 64178\n59077 88685\n81958 100000\n81920 100000\n74754 100000\n90375 100000\n20320 30575\n14018 21105\n23215 34909\n84494 100000\n49623 74521\n25692 38620\n15426 23193\n46675 70074\n91587 100000\n36670 55147\n26044 39138\n22536 33893\n92131 100000\n88760 100000\n18397 27681\n45420 68195\n47909 71930\n8466 12763\n45054 67640\n95656 100000\n23483 35314\n23616 35520\n1410 2124\n17546 26392\n16427 24696\n93319 100000\n30017 45102\n31680 47644\n59938 89977\n67278 100000\n4405 6612\n94367 100000\n21032 31642\n81213 100000\n53925 80938\n47052 70640\n11990 18080\n26200 39376\n4276 6417\n9932 14950\n36994 55634\n42702 64143\n86495 100000\n85631 100000\n10287 15501\n38722 58217\n39266 59017\n99146 100000\n61155 91801\n69520 100000\n69755 100000\n83462 100000\n40236 60445\n34915 52497\n4238 6356\n19146 28802\n27716 41656\n84379 100000\n53401 80148\n44017 66099\n29231 43935\n49748 74701\n15679 23563\n1803 2737\n47161 70796\n42110 63242\n53882 80874\n42852 64362\n66673 100000\n43632 65529\n34068 51233\n47705 71621\n1795 2725\n86871 100000\n74266 100000\n78461 100000\n48999 73581\n39497 59360\n38878 58451\n87844 100000\n90319 100000\n98975 100000\n58449 87733\n65623 98433\n85721 100000\n20807 31311\n58522 87842\n57506 86302\n86321 100000\n52758 79194\n89030 100000\n44968 67511\n69233 100000\n67159 100000\n40528 60871\n90405 100000\n49031 73628\n79652 100000\n22551 33915\n90543 100000\n96554 100000\n1685 2548\n3790 5687\n72886 100000\n62787 94246\n9705 14617\n68297 100000\n50737 76164\n8198 12354\n29166 43831\n49535 74386\n2453 3707\n66703 100000\n53191 79832\n75707 100000\n86691 100000\n27506 41336\n2248 3395\n35606 53523\n57666 86548\n15688 23576\n21981 33065\n73392 100000\n96979 100000\n45375 68128\n74997 100000\n74399 100000\n3311 4985\n56769 85195\n93518 100000\n92772 100000\n34561 51952\n96808 100000\n28280 42488\n1469 2214\n19566 29425\n45897 68911\n5358 8052\n60641 91027\n28781 43249\n74961 100000\n46893 70412\n91207 100000\n29553 44412\n46289 69506\n83884 100000\n84013 100000\n48531 72897\n5783 8676\n85663 100000\n71348 100000\n15425 23192\n7293 10991\n22146 33316\n31518 47395\n4288 6435\n43916 65950\n3076 4641\n55004 82554\n86064 100000\n7951 11981\n94370 100000\n75461 100000\n38582 58010\n63592 95439\n79845 100000\n12474 18794\n36159 54363\n33317 50107\n14601 21988\n33744 50743\n96641 100000\n8506 12823\n36925 55527\n6449 9700\n48627 73035\n1040 1577\n60864 91370\n95699 100000\n82270 100000\n75396 100000\n64075 96142\n36340 54653\n85111 100000\n50090 75208\n64397 96612\n26752 40199\n85687 100000\n69820 100000\n7295 10995\n57123 85735\n27985 42057\n72033 100000\n36203 54434\n52468 78766\n63513 95314\n76333 100000\n32365 48683\n24102 36250\n29136 43784\n26160 39316\n48975 73544\n17756 26713\n67046 100000\n51260 76944\n10276 15482\n24553 36928\n61286 91997\n56743 85151\n61677 92577\n32269 48544\n22726 34180\n42894 64421\n2684 4053\n37878 56956\n58084 87180\n56368 84598\n23497 35336\n33657 50609\n63425 95190\n86752 100000\n85459 100000\n14480 21809\n73783 100000\n24703 37154\n74423 100000\n61147 91790\n61123 91755\n45818 68789\n64143 96242\n94975 100000\n35365 53166\n10516 15845\n15340 23068\n41966 63036\n96870 100000\n24839 37353\n92188 100000\n1651 2499\n9343 14080\n7719 11635\n84202 100000\n27325 41065\n14103 21221\n38718 58211\n53501 80294\n84300 100000\n62498 93799\n61162 91812\n46057 69148\n29814 44801\n77485 100000\n61972 93015\n92743 100000\n42678 64107\n71330 100000\n60432 90710\n98690 100000\n47062 70653\n45623 68496\n5739 8610\n64409 96633\n91714 100000\n31571 47479\n3754 5632\n29237 43941\n1920 2902\n62396 93655\n74664 100000\n26576 39926\n15659 23536\n21090 31729\n66769 100000\n75782 100000\n73801 100000\n79986 100000\n79151 100000\n72800 100000\n15341 23069\n86356 100000\n37347 56160\n88703 100000\n97139 100000\n37745 56757\n66371 99572\n6274 9418\n30540 45901\n9245 13926\n77454 100000\n27082 40698\n5629 8449\n997 1509\n11232 16915\n56116 84225\n45639 68518\n39168 58873\n79803 100000\n41553 62417\n77367 100000\n39214 58937\n34736 52224\n324 486\n45003 67565\n36648 55112\n31549 47445\n62809 94281\n75362 100000\n46780 70234\n7753 11691\n97492 100000\n51901 77911\n87470 100000\n83230 100000\n32763 49286\n25739 38693\n67456 100000\n95594 100000\n64498 96765\n56059 84147\n29317 44060\n64221 96353\n64883 97345\n48388 72675\n37504 56396\n11299 17014\n36282 54563\n29259 43969\n43874 65891\n17112 25729\n58624 87996\n49174 73847\n99657 100000\n47762 71705\n32793 49335\n86702 100000\n93014 100000\n82084 100000\n13527 20361\n85769 100000\n88540 100000\n44629 66991\n4894 7344\n11880 17916\n78602 100000\n35334 53119\n71022 100000\n59832 89815\n92271 100000\n98236 100000\n49263 73984\n17268 25965\n86294 100000\n1829 2774\n48250 72462\n3413 5135\n1541 2329\n61376 92124\n83976 100000\n79011 100000\n82563 100000\n36842 55396\n35568 53467\n61596 92453\n35637 53568\n47867 71861\n3139 4737\n64545 96839\n41163 61821\n66454 99697\n22111 33263\n46191 69352\n96197 100000\n15008 22593\n7033 10595\n27168 40825\n7302 11004\n78625 100000\n90523 100000\n36974 55599\n52588 78946\n36403 54750\n46160 69306\n32459 48824\n63485 95272\n99196 100000\n44568 66898\n28841 43345\n31435 47271\n14780 22254\n29539 44390\n72857 100000\n93148 100000\n29551 44409\n45085 67683\n21042 31656\n18955 28523\n22841 34351\n37627 56576\n3134 4729\n43232 64919\n74522 100000\n15628 23492\n95350 100000\n22369 33642\n63638 95504\n54947 82466\n8626 13001\n4633 6952\n9619 14490\n94584 100000\n28684 43104\n88712 100000\n58591 87949\n23589 35480\n98462 100000\n92237 100000\n20960 31542\n23962 36050\n3271 4930\n69555 100000\n12127 18285\n55871 83860\n39615 59533\n80663 100000\n58464 87756\n79159 100000\n81723 100000\n38917 58509\n28856 43368\n20838 31359\n74131 100000\n96822 100000\n68471 100000\n74051 100000\n34678 52136\n27999 42075\n83832 100000\n78084 100000\n71879 100000\n89366 100000\n27426 41223\n78376 100000\n15086 22713\n58386 87639\n73022 100000\n82376 100000\n9395 14158\n58282 87481\n60413 90680\n22590 33975\n88792 100000\n99908 100000\n50458 75753\n90709 100000\n35880 53932\n58229 87392\n38830 58382\n3792 5691\n75113 100000\n85904 100000\n2835 4281\n78038 100000\n64782 97197\n23094 34731\n83873 100000\n53858 80835\n80160 100000\n19997 30079\n54278 81478\n17051 25642\n4650 6980\n35353 53148\n35479 53332\n68429 100000\n40956 61520\n61454 92245\n69203 100000\n84367 100000\n38509 57904\n14966 22529\n7503 11308\n39063 58727\n51877 77872\n72550 100000\n29168 43834\n99746 100000\n71896 100000\n71860 100000\n67986 100000\n97359 100000\n1823 2765\n48600 72998\n29575 44449\n59129 88758\n47639 71517\n23001 34588\n88446 100000\n9336 14069\n85214 100000\n95141 100000\n79224 100000\n50095 75214\n19181 28858\n90692 100000\n13106 19738\n17650 26551\n12663 19072\n19019 28619\n72515 100000\n71032 100000\n76178 100000\n65541 98311\n71220 100000\n22836 34344\n20547 30920\n60045 90133\n34674 52128\n9829 14792\n67913 100000\n10693 16102\n99845 100000\n39703 59665\n39896 59935\n86070 100000\n34885 52453\n7547 11377\n2704 4085\n73478 100000\n2089 3148\n99103 100000\n2044 3081\n79887 100000\n68277 100000\n96350 100000\n29074 43693\n13872 20889\n89770 100000\n34111 51298\n67840 100000\n98933 100000\n77442 100000\n8212 12377\n9462 14256\n95966 100000\n6113 9177\n87960 100000\n44518 66822\n39578 59477\n65437 98155\n51429 77201\n20666 31094\n72942 100000\n49504 74340\n42343 63598\n80420 100000\n19776 29739\n51857 77836\n34746 52241\n3757 5637\n34440 51782\n88549 100000\n99303 100000\n18759 28229\n72389 100000\n74088 100000\n97335 100000\n51515 77325\n87831 100000\n46328 69563\n84620 100000\n85363 100000\n52075 78172\n15475 23266\n94468 100000\n57438 86199\n29969 45032\n87862 100000\n51071 76662\n74090 100000\n2048 3086\n31587 47505\n74641 100000\n64773 97180\n47606 71466\n79707 100000\n65928 98890\n29116 43755\n27490 41314\n6837 10287\n2801 4228\n70091 100000\n26638 40019\n57962 86992\n26062 39161\n74743 100000\n35911 53980\n91293 100000\n77533 100000\n10024 15092\n47508 71319\n66875 100000\n26982 40538\n32020 48148\n6660 10014\n90140 100000\n67269 100000\n3723 5585\n4149 6227\n24355 36624\n90393 100000\n39092 58772\n20668 31097\n13238 19930\n99885 100000\n89033 100000\n51915 77932\n5189 7795\n3584 5377\n88080 100000\n71035 100000\n80263 100000\n15999 24048\n12554 18908\n11703 17647\n14746 22204\n85317 100000\n59995 90059\n8638 13017\n65774 98657\n41679 62603\n8563 12908\n92089 100000\n29436 44239\n77211 100000\n95574 100000\n17540 26384\n15231 22913\n51622 77481\n68185 100000\n32859 49431\n61880 92881\n57866 86847\n93004 100000\n25599 38479\n70014 100000\n12042 18157\n23131 34785\n47011 70581\n76414 100000\n12281 18505\n1435 2163\n10522 15852\n61795 92755\n97605 100000\n27818 41809\n57074 85659\n84903 100000\n23850 35887\n63752 95667\n17943 26999\n62939 94470\n94313 100000\n16848 25328\n65742 98610\n28434 42725\n46701 70110\n93585 100000\n6195 9298\n37173 55897\n1906 2884\n8847 13325\n92339 100000\n74533 100000\n74929 100000\n74388 100000\n455 685\n98648 100000\n66818 100000\n22826 34329\n45582 68437\n8491 12798\n82771 100000\n18434 27740\n97041 100000\n97349 100000\n69306 100000\n31693 47661\n12673 19086\n21633 32540\n15118 22757\n21892 32935\n81631 100000\n3575 5361\n35806 53825\n57956 86983\n31640 47583\n90444 100000\n28837 43338\n20728 31190\n17511 26338\n76321 100000\n36690 55173\n19108 28748\n24979 37559\n7040 10606\n82708 100000\n68767 100000\n46751 70187\n33037 49697\n17249 25934\n23371 35148\n18762 28232\n10393 15662\n6830 10277\n16883 25381\n99052 100000\n30203 45387\n70856 100000\n33955 51061\n32492 48872\n20621 31027\n3869 5808\n65651 98473\n12212 18402\n75401 100000\n13507 20330\n28347 42591\n59751 89704\n48428 72737\n57062 85640\n8824 13293\n71285 100000\n25423 38225\n56874 85355\n1532 2316\n90600 100000\n90939 100000\n767 1164\n73802 100000\n1567 2368\n1241 1870\n1337 2016\n65320 97986\n18252 27467\n81556 100000\n7500 11304\n21225 31931\n76746 100000\n42862 64375\n39025 58674\n15404 23161\n97036 100000\n36538 54948\n23115 34763\n74414 100000\n25906 38940\n6241 9364\n32349 48660\n71037 100000\n94833 100000\n95018 100000\n90202 100000\n59286 89003\n76722 100000\n35863 53908\n38263 57525\n91076 100000\n56034 84110\n72249 100000\n73495 100000\n23031 34629\n99387 100000\n95520 100000\n76002 100000\n64873 97332\n53729 80633\n54735 82148\n29128 43774\n63529 95340\n3824 5741\n62476 93769\n91275 100000\n41109 61746\n67941 100000\n19118 28761\n72471 100000\n64425 96654\n56118 84228\n43745 65698\n41670 62593\n11263 16963\n18047 27159\n44385 66634\n80511 100000\n87134 100000\n37751 56766\n1344 2026\n48244 72454\n27812 41801\n79070 100000\n23620 35526\n29509 44345\n46151 69291\n55911 83920\n2322 3507\n85300 100000\n23400 35192\n97257 100000\n37610 56551\n39642 59575\n75757 100000\n86285 100000\n2588 3906\n49655 74567\n27793 41774\n65926 98887\n3656 5484\n62911 94433\n73165 100000\n13105 19736\n76552 100000\n72953 100000\n57470 86248\n87602 100000\n69648 100000\n15637 23503\n9669 14565\n70724 100000\n68175 100000\n32787 49325\n92576 100000\n48209 72401\n14968 22531\n9724 14644\n10725 16152\n31776 47785\n36865 55433\n12829 19324\n46144 69279\n84640 100000\n79674 100000\n27257 40960\n13398 20173\n86276 100000\n99319 100000\n95204 100000\n31718 47699\n24396 36684\n78235 100000\n22996 34582\n9686 14588\n77101 100000\n42451 63758\n60263 90458\n52119 78243\n9000 13559\n2191 3306\n68113 100000\n94985 100000\n19257 28966\n83133 100000\n40139 60302\n49039 73642\n54863 82339\n64530 96816\n17069 25669\n75877 100000\n25957 39014\n2429 3671\n45191 67840\n54862 82338\n37410 56254\n11054 16645\n55257 82935\n98423 100000\n84613 100000\n70866 100000\n82822 100000\n56326 84538\n98092 100000\n68579 100000\n40683 61113\n76715 100000\n67271 100000\n72554 100000\n48945 73501\n1847 2800\n42944 64497\n8036 12109\n55961 83997\n92487 100000\n96213 100000\n28201 42367\n88463 100000\n41637 62546\n91273 100000\n23520 35371\n53664 80535\n73318 100000\n65660 98489\n52434 78721\n46534 69870\n53491 80281\n1831 2778\n41913 62959\n48959 73521\n85167 100000\n57924 86936\n80521 100000\n52452 78745\n4581 6875\n85118 100000\n99798 100000\n64019 96056\n33063 49738\n96584 100000\n23523 35375\n3371 5076\n62097 93203\n23904 35972\n57858 86835\n23844 35877\n98470 100000\n5744 8618\n55198 82850\n10659 16050\n34221 51464\n85093 100000\n50043 75142\n17483 26293\n53675 80551\n93859 100000\n32321 48621\n44788 67229\n18542 27895\n14666 22084\n62233 93411\n36410 54758\n48103 72238\n3707 5561\n32168 48382\n85676 100000\n70354 100000\n99983 100000\n20961 31544\n32055 48204\n57499 86292\n63306 95010\n91846 100000\n69386 100000\n81917 100000\n51698 77601\n29810 44795\n25445 38260\n35670 53617\n86639 100000\n61205 91876\n66950 100000\n788 1195\n50653 76036\n94141 100000\n23718 35682\n82007 100000\n7501 11305\n63042 94625\n20395 30689\n82776 100000\n75957 100000\n52614 78981\n34043 51196\n21342 32105\n78361 100000\n45431 68211\n64290 96458\n15710 23609\n47682 71585\n96676 100000\n82982 100000\n9217 13880\n88118 100000\n44135 66279\n73964 100000\n6028 9047\n8653 13038\n97867 100000\n87204 100000\n1150 1739\n16821 25286\n40855 61369\n74166 100000\n49704 74632\n87778 100000\n28376 42637\n44491 66782\n76940 100000\n35617 53537\n10461 15763\n49346 74104\n10847 16331\n21285 32024\n76972 100000\n40520 60861\n25932 38978\n98415 100000\n89473 100000\n90730 100000\n31222 46949\n16907 25421\n24908 37456\n90247 100000\n45757 68695\n1384 2085\n41209 61891\n87074 100000\n37913 57005\n51902 77912\n38652 58112\n91999 100000\n77060 100000\n24957 37523\n18919 28466\n11981 18068\n47325 71047\n26597 39957\n5177 7776\n48199 72387\n74048 100000\n98311 100000\n59611 89482\n12309 18550\n60981 91550\n10793 16253\n83542 100000\n75110 100000\n23977 36071\n605 921\n62479 93773\n26976 40530\n16425 24694\n15762 23685\n18365 27636\n37905 56996\n22999 34586\n18999 28589\n18374 27649\n14475 21800\n87465 100000\n81671 100000\n59485 89305\n95995 100000\n95399 100000\n26731 40164\n28304 42523\n315 470\n97054 100000\n4465 6698\n18163 27333\n73177 100000\n2459 3716\n41610 62502\n33129 49835\n60040 90126\n12944 19500\n40786 61266\n77603 100000\n11092 16698\n48957 73518\n37551 56467\n51371 77117\n25250 37964\n4939 7414\n66962 100000\n95970 100000\n75506 100000\n26940 40479\n51676 77567\n81552 100000\n37502 56392\n34579 51979\n53601 80442\n78324 100000\n21985 33070\n64824 97257\n30247 45448\n74650 100000\n55065 82639\n72473 100000\n96368 100000\n95636 100000\n46263 69464\n94961 100000\n34803 52329\n51770 77706\n51372 77118\n96462 100000\n15287 22992\n70908 100000\n73687 100000\n70239 100000\n208 309\n27868 41880\n80079 100000\n44391 66641\n14894 22424\n3287 4951\n73564 100000\n51610 77465\n81884 100000\n48630 73040\n24097 36243\n96758 100000\n34183 51408\n4489 6735\n11586 17462\n953 1442\n82023 100000\n77141 100000\n42232 63427\n71514 100000\n58338 87571\n55789 83741\n46626 69997\n34533 51912\n7091 10684\n43049 64645\n58096 87201\n88321 100000\n24983 37565\n16529 24851\n36371 54698\n26809 40287\n15497 23299\n9077 13667\n64287 96454\n57119 85728\n76255 100000\n15305 23016\n46241 69427\n88186 100000\n52311 78530\n39340 59135\n88920 100000\n19809 29794\n53136 79749\n32850 49420\n90447 100000\n59246 88940\n55623 83488\n70296 100000\n35535 53415\n13657 20558\n60869 91377\n57496 86289\n60056 90150\n15265 22962\n2346 3548\n70010 100000\n69721 100000\n71683 100000\n58441 87720\n92832 100000\n69241 100000\n58612 87980\n24649 37072\n85678 100000\n22982 34560\n88485 100000\n54518 81826\n50445 75735\n6524 9809\n56021 84091\n63376 95114\n25171 37849\n34833 52377\n73627 100000\n40152 60323\n6350 9537\n47042 70626\n37685 56665\n85470 100000\n38068 57224\n92889 100000\n84922 100000\n9608 14473\n26916 40446\n67231 100000\n2253 3405\n82018 100000\n76139 100000\n66509 99778\n82704 100000\n94383 100000\n93320 100000\n37367 56190\n71200 100000\n13149 19803\n60539 90867\n47510 71322\n7128 10743\n9530 14357\n64659 97010\n5156 7743\n31895 47962\n84347 100000\n16397 24653\n93191 100000\n88425 100000\n52382 78644\n37290 56077\n47480 71279\n11869 17898\n58414 87679\n28009 42090\n1359 2049\n37574 56501\n26041 39133\n1781 2703\n16939 25474\n59621 89499\n18209 27404\n93321 100000\n57533 86346\n42936 64484\n55276 82962\n99525 100000\n83494 100000\n53767 80693\n20128 30281\n38624 58074\n28907 43440\n96494 100000\n74072 100000\n62130 93255\n92516 100000\n28410 42688\n87393 100000\n44231 66413\n63323 95037\n31723 47707\n17344 26090\n93091 100000\n73977 100000\n63413 95169\n84391 100000\n76494 100000\n85915 100000\n67402 100000\n35097 52763\n74773 100000\n37871 56948\n21968 33048\n94681 100000\n9092 13690\n9300 14012\n9854 14831\n89746 100000\n45169 67811\n39614 59532\n38419 57767\n77188 100000\n79122 100000\n63542 95360\n48249 72461\n30148 45298\n52824 79289\n79170 100000\n84017 100000\n37329 56135\n49169 73840\n39312 59090\n95940 100000\n6831 10278\n96202 100000\n4383 6577\n71221 100000\n81355 100000\n92548 100000\n15536 23352\n57564 86391\n9340 14075\n96541 100000\n58394 87651\n28557 42912\n3702 5551\n99714 100000\n71569 100000\n36120 54304\n22093 33237\n1503 2268\n40706 61148\n63175 94824\n49560 74422\n67514 100000\n94070 100000\n54593 81939\n15607 23461\n42947 64501\n10890 16399\n48132 72281\n94445 100000\n34890 52462\n57650 86525\n82679 100000\n83084 100000\n2867 4329\n47263 70949\n24221 36433\n79199 100000\n78529 100000\n71619 100000\n80728 100000\n77524 100000\n1060 1602\n97429 100000\n41283 62004\n3509 5265\n42740 64198\n43590 65465\n32472 48843\n27742 41695\n90394 100000\n74442 100000\n77625 100000\n88758 100000\n41305 62037\n82791 100000\n74209 100000\n24706 37159\n68656 100000\n10504 15824\n51874 77866\n60853 91354\n47187 70834\n50041 75140\n44616 66972\n11091 16696\n48191 72373\n83056 100000\n61963 93004\n25529 38372\n36730 55230\n22554 33920\n87899 100000\n73937 100000\n87448 100000\n10484 15796\n16769 25212\n65019 97532\n42302 63533\n74781 100000\n14135 21271\n69644 100000\n21120 31771\n79991 100000\n60711 91130\n99063 100000\n2330 3520\n25201 37893\n57582 86421\n76157 100000\n28240 42427\n3196 4824\n26861 40367\n84315 100000\n91842 100000\n75227 100000\n92844 100000\n25466 38290\n50378 75633\n33779 50797\n59859 89856\n37006 55652\n31933 48019\n85881 100000\n4934 7405\n88022 100000\n6870 10336\n53029 79593\n7 11\n23817 35835\n17616 26501\n33437 50284\n29683 44608\n54131 81248\n25863 38877\n21962 33039\n70515 100000\n70870 100000\n93675 100000\n33601 50529\n63330 95048\n96385 100000\n57195 85844\n91404 100000\n5860 8793\n92440 100000\n25573 38438\n26143 39288\n60628 91005\n46634 70010\n30185 45359\n59169 88821\n49672 74591\n46302 69524\n57315 86018\n2887 4362\n72169 100000\n22200 33397\n29763 44731\n31355 47147\n14557 21918\n55770 83710\n59408 89192\n28464 42767\n22762 34234\n60380 90633\n59119 88744\n70279 100000\n82941 100000\n36745 55251\n41428 62227\n60544 90874\n83829 100000\n26867 40376\n64034 96080\n40872 61395\n57968 87003\n26897 40418\n22652 34073\n65646 98465\n42103 63232\n48453 72776\n81825 100000\n53223 79879\n67185 100000\n89972 100000\n34245 51499\n57515 86316\n44015 66096\n10063 15154\n37100 55790\n63305 95008\n67910 100000\n85379 100000\n17205 25871\n48320 72576\n18639 28039\n30285 45505\n8785 13232\n75791 100000\n53759 80679\n35720 53697\n88878 100000\n28223 42399\n36057 54208\n65511 98271\n81185 100000\n47644 71525\n42903 64436\n88229 100000\n46332 69569\n29276 43997\n11334 17069\n58250 87431\n61749 92684\n36023 54151\n15159 22810\n75175 100000\n14124 21255\n42527 63876\n48488 72833\n27146 40795\n57260 85937\n18022 27120\n17089 25696\n45376 68130\n9497 14307\n83895 100000\n23944 36030\n21547 32398\n15306 23018\n1684 2547\n65599 98398\n79165 100000\n71617 100000\n81904 100000\n17128 25753\n46978 70529\n11822 17827\n98035 100000\n68027 100000\n4334 6503\n30985 46581\n50101 75220\n59618 89494\n47276 70966\n69336 100000\n51777 77717\n15736 23643\n78481 100000\n9386 14146\n76825 100000\n21400 32190\n52543 78882\n9920 14932\n16448 24727\n98816 100000\n82363 100000\n22241 33457\n69267 100000\n65439 98159\n45628 68504\n12794 19271\n240 356\n92567 100000\n70462 100000\n95383 100000\n46954 70496\n16253 24440\n98103 100000\n94150 100000\n3227 4868\n19713 29648\n33056 49727\n36405 54752\n26104 39230\n35976 54077\n71406 100000\n6950 10456\n43599 65480\n45036 67614\n11871 17901\n82794 100000\n33936 51033\n81318 100000\n44169 66330\n7996 12050\n85852 100000\n30339 45583\n71626 100000\n30663 46085\n83880 100000\n94705 100000\n44275 66474\n90570 100000\n57623 86480\n51283 76979\n52631 79007\n26002 39079\n51273 76964\n67502 100000\n4846 7276\n62340 93565\n15825 23782\n29676 44598\n45352 68092\n84808 100000\n2295 3467\n73885 100000\n36364 54687\n48813 73306\n21201 31895\n79520 100000\n59367 89131\n38469 57842\n40887 61419\n5209 7825\n89090 100000\n51693 77595\n83163 100000\n73784 100000\n21302 32050\n4907 7365\n26149 39299\n16751 25183\n19739 29684\n39160 58863\n19931 29975\n41245 61947\n96262 100000\n12793 19269\n49518 74362\n98727 100000\n94107 100000\n84669 100000\n45952 68991\n73890 100000\n56633 84979\n70980 100000\n67698 100000\n87768 100000\n47517 71332\n22950 34511\n46775 70227\n57386 86124\n11273 16977\n10071 15166\n56055 84141\n76820 100000\n5515 8281\n59957 90003\n39011 58656\n30998 46599\n93810 100000\n93472 100000\n83904 100000\n53931 80947\n6549 9842\n33981 51102\n25414 38210\n63056 94649\n12866 19381\n49614 74508\n33075 49756\n67651 100000\n70188 100000\n93302 100000\n72148 100000\n3350 5042\n72312 100000\n41413 62202\n92515 100000\n82628 100000\n14496 21832\n62472 93765\n9519 14340\n85176 100000\n83153 100000\n16204 24367\n20337 30602\n6247 9373\n26812 40292\n37299 56090\n34667 52117\n95552 100000\n25806 38788\n73428 100000\n3066 4624\n24788 37278\n44204 66376\n36625 55073\n81227 100000\n43332 65077\n9973 15014\n73976 100000\n76198 100000\n83026 100000\n31996 48117\n44672 67056\n28480 42789\n59642 89530\n91274 100000\n94583 100000\n84898 100000\n12674 19088\n70189 100000\n44946 67474\n20848 31372\n82642 100000\n90684 100000\n93195 100000\n50051 75152\n72056 100000\n23443 35252\n52632 79009\n38301 57587\n69690 100000\n69170 100000\n15145 22792\n97160 100000\n41734 62686\n13278 19995\n11468 17280\n98694 100000\n13085 19707\n57033 85596\n7090 10683\n87766 100000\n10188 15343\n32847 49415\n95180 100000\n57398 86143\n76064 100000\n83726 100000\n59723 89658\n94356 100000\n91689 100000\n57673 86557\n58003 87060\n12322 18570\n32390 48719\n20552 30927\n25261 37981\n68167 100000\n75465 100000\n64086 96159\n66760 100000\n92776 100000\n79266 100000\n25316 38062\n50732 76157\n95463 100000\n49465 74279\n34146 51351\n3543 5316\n87369 100000\n72254 100000\n12219 18410\n99231 100000\n46572 69926\n12942 19498\n36139 54331\n40334 60587\n68514 100000\n47337 71065\n10212 15378\n88839 100000\n61187 91850\n93550 100000\n32147 48346\n61745 92679\n78052 100000\n34432 51769\n23268 34985\n99305 100000\n55370 83104\n96139 100000\n16236 24414\n27493 41318\n26893 40414\n76837 100000\n44394 66646\n76651 100000\n87685 100000\n40702 61143\n30196 45376\n17190 25848\n8963 13501\n38996 58636\n48312 72563\n65852 98776\n2296 3469\n60430 90707\n40464 60780\n20304 30550\n84865 100000\n99711 100000\n66518 99791\n23919 35994\n2886 4360\n47460 71249\n92976 100000\n15253 22947\n36938 55545\n35029 52660\n13430 20220\n25198 37889\n22466 33795\n20402 30700\n62113 93228\n38569 57993\n93662 100000\n79078 100000\n73516 100000\n22669 34096\n40950 61510\n68548 100000\n60397 90656\n24012 36120\n30554 45921\n95566 100000\n90906 100000\n93158 100000\n10852 16338\n7236 10902\n54470 81753\n25363 38132\n47805 71768\n54716 82120\n96143 100000\n27437 41241\n15438 23212\n27075 40687\n56672 85034\n99568 100000\n11148 16788\n98361 100000\n98886 100000\n61070 91680\n20019 30116\n19418 29208\n77704 100000\n66598 99909\n27893 41914\n68170 100000\n95902 100000\n35762 53759\n53679 80557\n89555 100000\n82077 100000\n94784 100000\n50910 76416\n52963 79500\n10421 15707\n9835 14802\n6116 9182\n204 303\n35051 52695\n2554 3854\n63009 94578\n17164 25808\n16834 25306\n72196 100000\n85729 100000\n22696 34133\n58288 87491\n55617 83479\n12883 19410\n57695 86595\n71904 100000\n90284 100000\n95037 100000\n55388 83130\n9722 14641\n5513 8278\n99840 100000\n15329 23052\n99099 100000\n50186 75349\n90669 100000\n50768 76210\n36691 55175\n12950 19510\n90911 100000\n74823 100000\n62290 93495\n94524 100000\n92735 100000\n24496 36839\n48970 73537\n98758 100000\n64047 96100\n6480 9743\n73200 100000\n49905 74936\n52250 78437\n30855 46376\n515 779\n55855 83837\n12244 18446\n56581 84904\n14313 21555\n20159 30326\n37368 56192\n18615 28003\n60199 90355\n16894 25400\n51448 77229\n31443 47284\n67523 100000\n15476 23268\n83052 100000\n44430 66698\n73448 100000\n13203 19883\n4428 6646\n45122 67738\n75952 100000\n92279 100000\n92393 100000\n27885 41904\n88398 100000\n41573 62446\n49503 74338\n39196 58913\n68326 100000\n53643 80504\n30379 45649\n39881 59913\n45802 68763\n4361 6542\n67506 100000\n84911 100000\n24756 37231\n82977 100000\n45011 67579\n50978 76518\n24056 36184\n84997 100000\n15452 23231\n94058 100000\n93466 100000\n68193 100000\n57194 85842\n80924 100000\n14657 22072\n53067 79648\n81106 100000\n34957 52557\n51559 77390\n25324 38071\n90948 100000\n76455 100000\n94098 100000\n90812 100000\n15056 22666\n19981 30057\n67638 100000\n51524 77339\n77336 100000\n53381 80117\n79979 100000\n30699 46144\n37951 57057\n10774 16226\n28923 43466\n10195 15354\n40025 60130\n52486 78795\n3759 5639\n10945 16485\n1835 2783\n82929 100000\n23807 35820\n97629 100000\n63626 95487\n39404 59228\n73375 100000\n7283 10976\n18848 28365\n91319 100000\n28305 42524\n40796 61282\n87441 100000\n26268 39476\n67006 100000\n31545 47439\n61054 91656\n61966 93007\n68870 100000\n72217 100000\n683 1039\n98266 100000\n42881 64401\n56462 84729\n35238 52970\n18213 27409\n38692 58171\n99747 100000\n60743 91178\n1674 2531\n24172 36358\n31684 47649\n53542 80358\n75262 100000\n40433 60734\n93570 100000\n55042 82610\n84757 100000\n8339 12567\n64913 97387\n94009 100000\n72639 100000\n54991 82534\n74791 100000\n93140 100000\n69994 100000\n5366 8063\n49552 74412\n38135 57330\n18915 28459\n94978 100000\n89110 100000\n95644 100000\n83127 100000\n7564 11401\n98488 100000\n88659 100000\n37013 55662\n41990 63073\n27566 41428\n26571 39919\n78343 100000\n68895 100000\n15759 23680\n32762 49284\n55547 83375\n49422 74215\n4311 6467\n47072 70667\n20602 31001\n24436 36743\n65993 98992\n12534 18881\n49460 74270\n96832 100000\n12404 18692\n67727 100000\n61047 91644\n79844 100000\n41196 61873\n97400 100000\n18888 28422\n50299 75517\n44401 66656\n16540 24867\n24548 36919\n42804 64290\n84061 100000\n35601 53516\n26273 39484\n9091 13689\n38599 58036\n36835 55384\n79751 100000\n98340 100000\n73584 100000\n61291 92003\n22344 33609\n77861 100000\n17351 26101\n45754 68691\n72509 100000\n7570 11410\n14286 21510\n41143 61791\n39526 59403\n56155 84282\n98459 100000\n86876 100000\n94045 100000\n38603 58042\n41691 62624\n10177 15326\n18858 28379\n30086 45204\n80708 100000\n31635 47577\n5606 8416\n54472 81756\n33172 49900\n65017 97530\n27122 40759\n73531 100000\n87846 100000\n63422 95186\n94569 100000\n6410 9637\n93900 100000\n33949 51054\n80841 100000\n59368 89132\n45467 68267\n190 280\n26247 39443\n98152 100000\n59604 89471\n19928 29969\n84710 100000\n10776 16229\n54848 82320\n94088 100000\n56149 84272\n27995 42067\n37705 56694\n13666 20571\n6761 10169\n28040 42131\n29524 44368\n90146 100000\n69589 100000\n18793 28280\n28817 43307\n74799 100000\n68526 100000\n12032 18144\n90933 100000\n17019 25588\n87732 100000\n78926 100000\n64800 97225\n41124 61768\n70853 100000\n86674 100000\n45836 68815\n74589 100000\n347 520\n74476 100000\n8021 12087\n47423 71191\n14772 22243\n27838 41841\n72943 100000\n57511 86309\n67560 100000\n13562 20414\n37726 56730\n59425 89218\n13255 19958\n46667 70062\n54587 81930\n66926 100000\n9433 14215\n18325 27573\n88713 100000\n74556 100000\n49173 73846\n94054 100000\n19155 28816\n27031 40617\n81574 100000\n98806 100000\n36631 55081\n45382 68139\n40441 60746\n22269 33498\n84368 100000\n60720 91142\n78563 100000\n64501 96770\n6551 9845\n58299 87512\n68323 100000\n17261 25954\n65076 97618\n82436 100000\n9053 13634\n12395 18679\n80446 100000\n18744 28205\n62120 93238\n70835 100000\n56226 84392\n55473 83261\n8015 12077\n22032 33140\n69574 100000\n14045 21145\n20384 30673\n96986 100000\n14895 22425\n71354 100000\n23858 35899\n11433 17221\n72461 100000\n14963 22524\n55217 82875\n56910 85408\n18055 27171\n84790 100000\n64805 97232\n59473 89288\n36866 55435\n8232 12409\n74361 100000\n32181 48404\n14472 21794\n26153 39305\n85722 100000\n95511 100000\n17105 25717\n48490 72837\n12966 19531\n62897 94412\n8735 13152\n94616 100000\n99342 100000\n84437 100000\n60149 90287\n76573 100000\n79754 100000\n59125 88754\n84345 100000\n44824 67285\n74870 100000\n9635 14513\n29627 44522\n71853 100000\n38780 58309\n90941 100000\n47941 71983\n95239 100000\n33752 50756\n40493 60824\n76864 100000\n99793 100000\n12559 18915\n15454 23235\n57141 85761\n58217 87376\n99360 100000\n73247 100000\n95711 100000\n42587 63970\n43281 64993\n63927 95925\n82028 100000\n94509 100000\n8582 12936\n84648 100000\n43888 65911\n75412 100000\n46595 69954\n20449 30770\n41747 62704\n28141 42279\n90251 100000\n42790 64272\n78435 100000\n92463 100000\n43680 65599\n26428 39718\n43948 65999\n97557 100000\n38389 57718\n79413 100000\n72836 100000\n51214 76873\n61695 92604\n89551 100000\n49678 74598\n37114 55810\n92734 100000\n25111 37760\n86391 100000\n66930 100000\n84236 100000\n30559 45929\n22477 33810\n55312 83022\n14450 21762\n46366 69620\n33920 51007\n69470 100000\n51020 76583\n47338 71067\n89854 100000\n30926 46486\n78044 100000\n21658 32576\n84006 100000\n10808 16274\n62133 93259\n34093 51271\n96768 100000\n47845 71826\n16486 24782\n41342 62091\n19479 29297\n99137 100000\n81145 100000\n55140 82763\n51288 76988\n38658 58122\n73125 100000\n48133 72283\n21051 31672\n71271 100000\n65698 98546\n66306 99473\n19509 29341\n24910 37458\n24561 36937\n64991 97493\n9391 14153\n50453 75746\n88859 100000\n18578 27947\n28162 42313\n55978 84022\n90605 100000\n56457 84723\n10608 15975\n67407 100000\n80527 100000\n80081 100000\n55976 84020\n12954 19515\n83175 100000\n82147 100000\n5492 8248\n27263 40970\n31374 47176\n14956 22513\n62050 93135\n98557 100000\n65335 98005\n88055 100000\n527 801\n92720 100000\n35483 53337\n19602 29475\n74044 100000\n73288 100000\n15234 22917\n13054 19661\n72682 100000\n29738 44697\n42149 63299\n6496 9769\n22027 33130\n57397 86142\n50203 75376\n66137 99220\n66049 99080\n19549 29400\n39557 59447\n38255 57515\n17449 26240\n68242 100000\n73547 100000\n1990 3005\n80429 100000\n94231 100000\n89631 100000\n7356 11082\n91231 100000\n29929 44972\n42005 63093\n40383 60660\n47291 70991\n26178 39340\n45474 68279\n39566 59459\n52390 78655\n57127 85739\n94913 100000\n67622 100000\n37351 56166\n21134 31791\n4240 6360\n84068 100000\n82040 100000\n44037 66130\n75265 100000\n1810 2747\n98063 100000\n30091 45213\n6968 10486\n23751 35733\n56398 84642\n65374 98059\n20027 30129\n76614 100000\n72605 100000\n31058 46690\n60495 90805\n99448 100000\n43056 64655\n25707 38643\n1000 1514\n67194 100000\n41498 62338\n41915 62962\n45206 67863\n96030 100000\n1669 2525\n26173 39332\n34724 52208\n95398 100000\n76584 100000\n7526 11343\n52279 78482\n3634 5448\n82263 100000\n71396 100000\n70538 100000\n75059 100000\n90258 100000\n78039 100000\n2669 4032\n76086 100000\n64424 96652\n18074 27199\n93057 100000\n92003 100000\n50632 76007\n86173 100000\n77165 100000\n49946 75002\n73055 100000\n47773 71721\n38044 57191\n10282 15493\n71086 100000\n37275 56053\n65744 98613\n89513 100000\n22728 34183\n49690 74614\n26398 39672\n88844 100000\n95110 100000\n97919 100000\n35205 52921\n13845 20849\n82003 100000\n13521 20351\n80932 100000\n83234 100000\n62252 93439\n39696 59655\n15615 23472\n90419 100000\n36893 55479\n17454 26249\n47022 70596\n72536 100000\n19908 29942\n57981 87023\n13276 19992\n34174 51393\n8556 12897\n62206 93366\n75414 100000\n54740 82157\n76624 100000\n77886 100000\n17574 26435\n67591 100000\n82327 100000\n86390 100000\n5309 7983\n84455 100000\n59115 88739\n13372 20138\n35358 53155\n51104 76711\n43309 65041\n20861 31392\n45349 68087\n81584 100000\n39437 59274\n71262 100000\n89666 100000\n77947 100000\n72805 100000\n63796 95731\n47849 71832\n92714 100000\n37539 56448\n32325 48626\n65039 97561\n37481 56362\n28354 42602\n48482 72823\n40050 60165\n33012 49664\n14596 21979\n69008 100000\n81116 100000\n80001 100000\n37894 56980\n72352 100000\n22640 34053\n47486 71288\n56940 85452\n96050 100000\n32300 48587\n88641 100000\n16768 25211\n39713 59680\n6619 9947\n32035 48170\n77587 100000\n45257 67948\n76780 100000\n30537 45897\n85978 100000\n6110 9173\n63054 94645\n82735 100000\n99163 100000\n42378 63648\n66977 100000\n12137 18298\n6092 9143\n92103 100000\n89044 100000\n95990 100000\n48281 72512\n82008 100000\n90127 100000\n20464 30794\n55664 83547\n81940 100000\n24429 36735\n70892 100000\n37035 55694\n88922 100000\n72665 100000\n40907 61447\n28426 42711\n67488 100000\n53780 80714\n10702 16117\n41103 61737\n49134 73787\n43202 64868\n88943 100000\n15909 23912\n75973 100000\n22685 34118\n67776 100000\n74192 100000\n94491 100000\n99971 100000\n2563 3869\n1302 1964\n72409 100000\n63074 94676\n28437 42729\n52601 78966\n60647 91034\n70162 100000\n34836 52382\n18366 27637\n70384 100000\n64871 97329\n31467 47320\n60978 91546\n1746 2647\n6686 10055\n76930 100000\n30713 46167\n61483 92290\n59204 88873\n9962 14997\n26701 40116\n43014 64599\n88364 100000\n48264 72485\n4068 6112\n59083 88695\n93742 100000\n55431 83195\n98556 100000\n406 610\n23701 35656\n45280 67982\n8132 12253\n8949 13480\n62849 94340\n76797 100000\n43431 65228\n74698 100000\n85344 100000\n76331 100000\n48127 72274\n69704 100000\n21987 33073\n16119 24236\n71455 100000\n97995 100000\n99851 100000\n42747 64209\n60101 90218\n99243 100000\n41677 62601\n25669 38587\n24064 36194\n69188 100000\n98253 100000\n97471 100000\n17488 26301\n95168 100000\n44662 67040\n59045 88636\n13584 20449\n34267 51529\n28044 42136\n89677 100000\n83039 100000\n47974 72038\n99559 100000\n80201 100000\n85923 100000\n25280 38011\n43268 64977\n17639 26535\n65753 98626\n28762 43217\n89301 100000\n89190 100000\n22690 34123\n65056 97588\n87346 100000\n38067 57222\n85964 100000\n46723 70142\n26475 39783\n94315 100000\n21650 32567\n23117 34765\n96643 100000\n68700 100000\n70621 100000\n40819 61317\n17905 26941\n18645 28049\n88112 100000\n75927 100000\n12027 18137\n4404 6610\n81968 100000\n75114 100000\n90376 100000\n67088 100000\n11036 16617\n3535 5306\n38976 58602\n91191 100000\n98916 100000\n26320 39554\n83308 100000\n4200 6304\n87714 100000\n27375 41138\n68298 100000\n320 479\n46205 69373\n98305 100000\n36562 54982\n45772 68716\n47985 72051\n89898 100000\n64703 97078\n59638 89524\n79393 100000\n95918 100000\n99520 100000\n78358 100000\n78345 100000\n59186 88847\n89921 100000\n47816 71783\n68070 100000\n97725 100000\n78287 100000\n87349 100000\n47241 70917\n73087 100000\n70179 100000\n94030 100000\n90283 100000\n57892 86888\n21013 31618\n18789 28274\n73314 100000\n47802 71764\n32348 48658\n51139 76763\n86522 100000\n41923 62975\n9324 14050\n263 394\n53969 81002\n55966 84005\n92557 100000\n25836 38833\n15717 23617\n83531 100000\n18468 27792\n28694 43118\n90367 100000\n82570 100000\n34749 52246\n1232 1856\n82589 100000\n26970 40522\n84357 100000\n13543 20387\n11065 16660\n38638 58094\n53151 79772\n91678 100000\n57356 86080\n17715 26650\n58732 88162\n89086 100000\n18413 27706\n70236 100000\n29286 44011\n30870 46400\n85977 100000\n32745 49255\n3102 4682\n42999 64578\n73475 100000\n68438 100000\n68766 100000\n15559 23385\n57949 86973\n60058 90152\n60815 91295\n70740 100000\n78580 100000\n28064 42167\n42268 63481\n82625 100000\n43591 65467\n70663 100000\n8297 12509\n64205 96331\n95225 100000\n84319 100000\n46875 70388\n48973 73540\n58562 87905\n96322 100000\n48001 72077\n71267 100000\n62564 93906\n8548 12885\n19989 30069\n86281 100000\n91764 100000\n8449 12738\n61951 92989\n30695 46140\n32251 48515\n36213 54453\n20276 30506\n10348 15596\n13550 20398\n54391 81638\n84717 100000\n11455 17258\n73803 100000\n44290 66498\n81724 100000\n40027 60134\n10197 15357\n98864 100000\n12342 18600\n23737 35712\n18560 27919\n23192 34875\n70922 100000\n31935 48021\n22429 33732\n20243 30455\n91065 100000\n51216 76877\n67907 100000\n45112 67723\n38236 57488\n44667 67049\n39501 59367\n59565 89420\n18746 28208\n47390 71142\n1941 2934\n33926 51016\n86420 100000\n28672 43086\n82306 100000\n22051 33168\n26346 39594\n27989 42061\n91629 100000\n99388 100000\n56023 84094\n43277 64987\n45716 68631\n2208 3334\n88977 100000\n6900 10382\n67580 100000\n50520 75843\n12766 19228\n24269 36500\n87164 100000\n3276 4936\n45729 68654\n8609 12974\n14755 22218\n73765 100000\n87866 100000\n19704 29634\n15879 23866\n75640 100000\n73348 100000\n83322 100000\n56580 84903\n70925 100000\n12020 18125\n87341 100000\n52789 79237\n3226 4867\n25792 38768\n24568 36947\n58714 88133\n96917 100000\n4066 6110\n3735 5603\n22342 33606\n97325 100000\n93267 100000\n25210 37907\n45622 68494\n81899 100000\n10544 15880\n80065 100000\n55149 82777\n20109 30254\n2603 3929\n32622 49078\n9319 14042\n83050 100000\n38012 57149\n99784 100000\n59008 88580\n463 699\n74018 100000\n36874 55447\n11690 17626\n93711 100000\n80549 100000\n76223 100000\n66230 99361\n42839 64341\n88764 100000\n4943 7420\n13761 20716\n91115 100000\n33393 50217\n157 234\n38566 57989\n9641 14524\n94663 100000\n10102 15215\n85825 100000\n63224 94895\n57140 85759\n63800 95736\n74002 100000\n40531 60875\n32866 49442\n19830 29822\n17788 26762\n93694 100000\n94304 100000\n23123 34775\n32182 48405\n46633 70009\n59998 90065\n69364 100000\n1428 2152\n45185 67833\n4864 7301\n70609 100000\n32184 48407\n41993 63077\n55297 82998\n89295 100000\n14712 22151\n36760 55276\n97307 100000\n78186 100000\n38205 57438\n84525 100000\n21790 32776\n74586 100000\n59120 88746\n99081 100000\n92830 100000\n36862 55430\n28692 43115\n21010 31613\n94772 100000\n57182 85823\n47666 71559\n13505 20327\n59520 89351\n1556 2352\n40795 61280\n49069 73687\n34301 51576\n34846 52396\n79560 100000\n24765 37243\n75258 100000\n63093 94703\n872 1322\n15080 22704\n77637 100000\n73052 100000\n66469 99720\n12383 18662\n24490 36829\n48862 73379\n12059 18182\n46520 69850\n16164 24306\n49686 74610\n78026 100000\n81297 100000\n2087 3144\n29190 43868\n80506 100000\n62687 94093\n10114 15233\n9888 14884\n2357 3565\n31910 47985\n99127 100000\n40394 60677\n8663 13052\n73174 100000\n96985 100000\n30515 45860\n59216 88892\n17507 26332\n12641 19037\n62336 93559\n38684 58159\n6387 9599\n61538 92372\n38392 57724\n10554 15894\n36186 54407\n83073 100000\n7306 11009\n10687 16093\n67158 100000\n77529 100000\n14132 21266\n96609 100000\n44418 66682\n75674 100000\n7029 10590\n15418 23184\n59876 89881\n95131 100000\n36896 55483\n68643 100000\n80617 100000\n93808 100000\n22480 33813\n58693 88104\n26085 39202\n2638 3987\n15211 22882\n40498 60829\n66506 99772\n62500 93801\n48297 72539\n29479 44300\n39300 59068\n91020 100000\n65619 98425\n47183 70828\n18031 27134\n45350 68088\n7681 11579\n28325 42556\n22775 34251\n56566 84884\n52553 78895\n53900 80901\n98845 100000\n95319 100000\n72227 100000\n50218 75402\n92875 100000\n48381 72663\n19646 29538\n3918 5880\n55581 83425\n62275 93472\n74832 100000\n86976 100000\n84253 100000\n77639 100000\n21560 32419\n69911 100000\n32761 49282\n14146 21289\n86964 100000\n76725 100000\n78446 100000\n65601 98401\n38015 57153\n20451 30773\n3854 5787\n88438 100000\n18307 27546\n76145 100000\n88914 100000\n43624 65518\n30249 45451\n29794 44774\n50753 76186\n73337 100000\n41598 62481\n89594 100000\n22188 33377\n27450 41259\n67803 100000\n69880 100000\n77983 100000\n94459 100000\n42863 64377\n96579 100000\n4270 6406\n31613 47545\n38769 58290\n26243 39439\n28928 43472\n2266 3425\n28190 42352\n42443 63745\n67360 100000\n82388 100000\n58294 87503\n97466 100000\n13912 20949\n22781 34259\n85185 100000\n94005 100000\n49895 74923\n22861 34383\n23707 35666\n29433 44236\n91561 100000\n92249 100000\n8110 12219\n65881 98821\n44998 67558\n42402 63685\n85996 100000\n14803 22293\n44632 66996\n40622 61024\n99577 100000\n33343 50145\n78061 100000\n38432 57789\n97774 100000\n28433 42723\n67711 100000\n12636 19030\n16800 25259\n17506 26330\n7645 11524\n33293 50071\n25914 38952\n3596 5395\n73016 100000\n23020 34615\n38823 58371\n78729 100000\n17400 26175\n34671 52124\n551 837\n41031 61630\n71111 100000\n89931 100000\n98725 100000\n65016 97529\n15472 23261\n23210 34902\n36280 54560\n58336 87568\n45303 68017\n63283 94979\n61159 91807\n98914 100000\n54957 82482\n15954 23971\n15766 23690\n2060 3103\n49167 73836\n5237 7868\n19701 29629\n67116 100000\n41262 61974\n50597 75956\n63610 95464\n62853 94346\n8837 13311\n72894 100000\n856 1301\n51264 76950\n74396 100000\n41356 62114\n31225 46952\n58080 87173\n44777 67213\n734 1118\n68801 100000\n43233 64921\n27451 41261\n57045 85613\n73820 100000\n61911 92929\n51494 77295\n95847 100000\n86830 100000\n70644 100000\n56480 84757\n59537 89376\n62951 94488\n34840 52389\n90500 100000\n80262 100000\n52578 78929\n18303 27541\n12884 19411\n36492 54879\n87163 100000\n43954 66008\n36090 54259\n80881 100000\n27344 41093\n40582 60962\n91366 100000\n17807 26791\n5785 8679\n37644 56603\n2177 3287\n80058 100000\n6409 9636\n18471 27796\n29360 44123\n20586 30978\n87790 100000\n38177 57392\n49702 74629\n62350 93580\n15360 23099\n12177 18352\n1579 2385\n88316 100000\n92252 100000\n79534 100000\n55838 83813\n71192 100000\n18954 28521\n34380 51696\n21236 31948\n68333 100000\n78394 100000\n72313 100000\n9977 15019\n98785 100000\n92178 100000\n65256 97892\n88674 100000\n13774 20733\n18582 27955\n23333 35087\n81458 100000\n13265 19972\n84270 100000\n36946 55557\n13397 20171\n49396 74175\n99977 100000\n28468 42773\n49323 74069\n20297 30539\n62407 93670\n76328 100000\n53827 80787\n84583 100000\n22432 33738\n84464 100000\n33670 50630\n63031 94608\n24861 37387\n49220 73915\n27271 40983\n68284 100000\n96834 100000\n65736 98599\n55658 83535\n27691 41619\n56327 84539\n21711 32660\n25447 38262\n25454 38273\n96335 100000\n47174 70814\n82069 100000\n7668 11559\n35885 53941\n97561 100000\n36717 55213\n31293 47053\n13045 19648\n90927 100000\n9861 14842\n94294 100000\n63158 94799\n26745 40187\n13076 19695\n58235 87404\n85384 100000\n63562 95395\n30651 46066\n9471 14270\n49159 73822\n74241 100000\n34748 52244\n53331 80043\n54176 81316\n54784 82229\n93375 100000\n92355 100000\n14835 22339\n7460 11240\n2349 3552\n26628 40002\n40969 61538\n24040 36161\n79918 100000\n14918 22458\n83304 100000\n56350 84569\n98571 100000\n16154 24290\n32138 48328\n25913 38950\n85554 100000\n75528 100000\n11478 17297\n45934 68963\n91295 100000\n28814 43302\n29216 43910\n78411 100000\n31742 47737\n37118 55818\n29145 43797\n86048 100000\n40226 60430\n70725 100000\n96829 100000\n91648 100000\n20319 30573\n49255 73972\n99996 100000\n16345 24574\n94324 100000\n4809 7216\n54363 81600\n25812 38796\n42713 64159\n16745 25174\n11963 18043\n71307 100000\n71627 100000\n98949 100000\n24973 37550\n28185 42347\n62123 93243\n26424 39711\n27736 41685\n96605 100000\n9364 14114\n39111 58799\n77546 100000\n2257 3410\n2784 4204\n24167 36350\n27409 41195\n11749 17721\n78622 100000\n40016 60119\n17062 25658\n36053 54201\n35293 53055\n42579 63955\n69989 100000\n26421 39706\n23223 34922\n25893 38922\n21836 32847\n1925 2908\n55639 83510\n42384 63657\n58628 88001\n91511 100000\n33474 50338\n29109 43744\n53572 80400\n32077 48236\n21695 32636\n52169 78314\n870 1320\n13319 20058\n41946 63008\n31170 46865\n64585 96899\n94529 100000\n47566 71404\n79327 100000\n75523 100000\n7047 10616\n54058 81132\n33268 50039\n20084 30216\n12924 19467\n93012 100000\n85075 100000\n68451 100000\n89867 100000\n82108 100000\n60463 90754\n57922 86933\n93374 100000\n31294 47055\n80271 100000\n85650 100000\n28640 43044\n45970 69019\n47070 70664\n74759 100000\n43983 66051\n72072 100000\n4071 6115\n82510 100000\n968 1465\n70607 100000\n25004 37598\n19131 28780\n55287 82982\n75711 100000\n44190 66357\n92705 100000\n24625 37033\n71773 100000\n25867 38884\n68195 100000\n61569 92416\n72208 100000\n63116 94740\n15185 22844\n67334 100000\n51651 77527\n24522 36878\n88358 100000\n2343 3542\n85983 100000\n20796 31294\n68719 100000\n59887 89897\n782 1186\n72991 100000\n62695 94107\n28186 42348\n33638 50584\n86946 100000\n89149 100000\n40175 60360\n15894 23890\n10447 15747\n5002 7505\n87429 100000\n73723 100000\n10887 16395\n65417 98120\n82320 100000\n67434 100000\n36455 54826\n85726 100000\n13173 19838\n83338 100000\n36510 54908\n67762 100000\n70806 100000\n70052 100000\n32110 48286\n95747 100000\n78019 100000\n5364 8061\n5680 8523\n32952 49574\n21728 32684\n62045 93127\n21986 33071\n50448 75740\n3610 5414\n21185 31872\n94649 100000\n68999 100000\n24732 37196\n93493 100000\n39166 58871\n15386 23133\n41627 62531\n86126 100000\n66285 99441\n26053 39150\n24362 36638\n59271 88979\n69216 100000\n46624 69995\n10165 15309\n87925 100000\n59935 89972\n54152 81280\n25827 38819\n24852 37373\n32228 48476\n88780 100000\n30117 45252\n68444 100000\n2976 4488\n53937 80955\n44377 66623\n54280 81480\n26215 39397\n39609 59525\n12071 18202\n50506 75822\n44389 66639\n57465 86243\n8802 13257\n31565 47470\n66723 100000\n60198 90354\n52920 79436\n69246 100000\n87724 100000\n97649 100000\n64608 96934\n65411 98113\n87578 100000\n22154 33328\n71488 100000\n76927 100000\n39245 58985\n68669 100000\n47507 71317\n85336 100000\n32927 49534\n24213 36419\n18089 27222\n9620 14491\n17760 26719\n3143 4743\n43271 64981\n27359 41114\n69346 100000\n61508 92328\n71698 100000\n33005 49654\n28112 42239\n95425 100000\n66817 100000\n57745 86669\n39935 59994\n24972 37548\n576 876\n7896 11896\n47427 71196\n61669 92569\n95955 100000\n91467 100000\n25051 37671\n38383 57708\n33649 50598\n96984 100000\n84051 100000\n92241 100000\n3099 4677\n32881 49467\n45137 67761\n53389 80130\n53749 80664\n82341 100000\n89493 100000\n52863 79345\n28572 42935\n16954 25494\n34637 52067\n83422 100000\n3863 5802\n64162 96267\n62968 94511\n23166 34837\n20425 30735\n74360 100000\n48675 73106\n54846 82317\n71711 100000\n32856 49427\n2154 3248\n37968 57081\n55407 83159\n96035 100000\n6481 9744\n24707 37160\n27906 41935\n67199 100000\n98903 100000\n64557 96858\n43448 65254\n42825 64320\n75053 100000\n83822 100000\n41174 61839\n6536 9826\n7861 11844\n94418 100000\n37815 56858\n79734 100000\n47272 70961\n18189 27371\n17076 25680\n23624 35533\n3033 4577\n84696 100000\n94674 100000\n10697 16109\n56894 85384\n85594 100000\n43868 65882\n438 658\n91983 100000\n18835 28343\n72843 100000\n49144 73801\n30776 46258\n59735 89677\n68356 100000\n6515 9795\n72406 100000\n72232 100000\n73795 100000\n20824 31337\n28030 42119\n24332 36588\n59889 89899\n88145 100000\n88973 100000\n85981 100000\n38320 57616\n44326 66551\n50278 75487\n39274 59031\n12769 19233\n51400 77163\n10937 16470\n34126 51321\n91498 100000\n2249 3397\n38808 58347\n38346 57659\n61621 92491\n59599 89465\n36313 54610\n39982 60068\n58110 87220\n70854 100000\n29370 44138\n64100 96175\n93756 100000\n1033 1565\n67988 100000\n75072 100000\n14612 22004\n30003 45080\n39924 59978\n75865 100000\n995 1506\n53431 80194\n67031 100000\n91376 100000\n86044 100000\n58570 87918\n27209 40890\n15377 23119\n87252 100000\n63889 95865\n33537 50434\n81016 100000\n92199 100000\n51156 76789\n39233 58967\n29489 44314\n60506 90819\n63386 95128\n87769 100000\n6658 10011\n16243 24427\n88208 100000\n60526 90850\n29737 44695\n10925 16452\n5414 8136\n52953 79484\n39370 59177\n11721 17677\n70746 100000\n15760 23682\n25740 38695\n62560 93899\n1105 1672\n94809 100000\n93776 100000\n14075 21184\n66264 99414\n43075 64684\n12570 18934\n8231 12408\n57181 85821\n79457 100000\n89546 100000\n95579 100000\n29207 43896\n36393 54733\n13881 20902\n97215 100000\n16818 25283\n69708 100000\n93055 100000\n15247 22937\n93410 100000\n61297 92012\n63751 95665\n14846 22354\n55231 82893\n56986 85520\n94221 100000\n1973 2981\n20987 31580\n34611 52029\n76742 100000\n73626 100000\n84811 100000\n12129 18288\n3358 5056\n52716 79136\n72975 100000\n27992 42064\n43158 64806\n74196 100000\n36838 55390\n65260 97898\n28558 42914\n70146 100000\n13346 20100\n5772 8657\n42175 63341\n2688 4060\n97457 100000\n68307 100000\n95474 100000\n32170 48384\n70379 100000\n41505 62349\n15708 23606\n75960 100000\n63347 95073\n4532 6798\n83808 100000\n1617 2442\n13304 20035\n7058 10631\n90708 100000\n48023 72109\n67144 100000\n85544 100000\n34276 51541\n40123 60278\n54365 81602\n47821 71792\n10454 15755\n55711 83624\n53506 80301\n74568 100000\n41941 63001\n79926 100000\n90079 100000\n87811 100000\n66108 99173\n1701 2574\n84909 100000\n41872 62898\n89222 100000\n1924 2907\n11404 17172\n20906 31462\n44420 66684\n40083 60219\n86555 100000\n68883 100000\n12860 19370\n54854 82328\n23898 35962\n70802 100000\n31082 46725\n36547 54960\n6175 9268\n55690 83592\n37720 56720\n44933 67454\n11783 17768\n65638 98456\n10590 15947\n92724 100000\n48041 72140\n91905 100000\n13980 21052\n94677 100000\n70355 100000\n68272 100000\n81801 100000\n40929 61482\n92260 100000\n39607 59521\n57220 85884\n41120 61762\n7994 12047\n72441 100000\n38859 58426\n68670 100000\n22658 34081\n85323 100000\n6595 9913\n12356 18621\n54179 81322\n64197 96321\n98392 100000\n19093 28731\n57930 86946\n17156 25796\n13549 20396\n6322 9490\n23641 35561\n24731 37195\n23373 35152\n5560 8344\n19197 28879\n27905 41933\n25819 38807\n58014 87076\n70304 100000\n13712 20637\n51817 77776\n44063 66171\n25392 38176\n27365 41123\n72999 100000\n64133 96228\n13381 20150\n61226 91911\n48558 72940\n65021 97535\n84801 100000\n55937 83959\n23480 35310\n72337 100000\n44028 66116\n48032 72125\n48335 72597\n97664 100000\n74932 100000\n45891 68902\n53961 80990\n5074 7617\n10328 15565\n35700 53664\n61504 92321\n8175 12318\n74949 100000\n78586 100000\n97607 100000\n68043 100000\n15742 23651\n59930 89964\n62279 93480\n36800 55330\n11479 17298\n96243 100000\n79310 100000\n60357 90598\n46034 69118\n44311 66530\n56113 84221\n47002 70567\n11603 17487\n22309 33561\n18390 27672\n85192 100000\n92197 100000\n21976 33058\n3343 5033\n43601 65483\n45385 68143\n19346 29095\n31730 47719\n15409 23169\n43622 65516\n55923 83937\n24330 36585\n85006 100000\n72124 100000\n28831 43329\n27486 41310\n66579 99885\n75416 100000\n61308 92026\n7552 11385\n92265 100000\n18642 28044\n67501 100000\n48972 73539\n70547 100000\n6303 9462\n44187 66354\n52674 79074\n66431 99662\n43946 65996\n33378 50193\n77900 100000\n47097 70699\n95245 100000\n33248 50011\n63931 95929\n69645 100000\n93072 100000\n82004 100000\n14365 21636\n91491 100000\n50775 76220\n72078 100000\n5474 8219\n19792 29766\n12919 19460\n47332 71059\n79757 100000\n98297 100000\n8025 12093\n19174 28846\n95303 100000\n81132 100000\n42357 63619\n31498 47365\n44117 66252\n46227 69405\n65421 98126\n31260 47005\n83853 100000\n89724 100000\n73633 100000\n8733 13150\n91901 100000\n65381 98070\n99560 100000\n72094 100000\n46809 70277\n73481 100000\n29704 44641\n73014 100000\n12727 19166\n87904 100000\n65300 97953\n54891 82383\n92121 100000\n32319 48618\n43295 65017\n14091 21204\n91640 100000\n36412 54762\n90190 100000\n46050 69140\n88527 100000\n39586 59488\n57522 86328\n93233 100000\n67866 100000\n33642 50590\n6504 9779\n39723 59695\n58305 87520\n45262 67955\n30336 45580\n49225 73923\n69972 100000\n31738 47733\n26562 39908\n68011 100000\n86085 100000\n84251 100000\n92539 100000\n53277 79957\n62907 94427\n40146 60314\n3530 5297\n70327 100000\n82996 100000\n43475 65291\n44757 67183\n93030 100000\n56277 84470\n60643 91030\n17614 26497\n9085 13680\n61805 92768\n1976 2984\n75706 100000\n33088 49775\n81479 100000\n13647 20545\n45981 69037\n56793 85231\n60476 90775\n6150 9234\n2038 3075\n90701 100000\n18694 28128\n48385 72670\n12327 18575\n74676 100000\n95454 100000\n86804 100000\n62276 93474\n24220 36431\n86908 100000\n77768 100000\n24364 36640\n72154 100000\n13217 19901\n8516 12836\n71499 100000\n19322 29063\n19724 29663\n79439 100000\n63932 95931\n74439 100000\n26396 39668\n4540 6811\n1648 2494\n97242 100000\n79837 100000\n45810 68777\n87180 100000\n28391 42660\n19214 28901\n5600 8407\n53649 80513\n43335 65083\n81250 100000\n4446 6672\n66580 99887\n13848 20854\n32090 48256\n54345 81575\n90727 100000\n49529 74378\n52122 78246\n70678 100000\n72378 100000\n69450 100000\n73270 100000\n27870 41882\n75410 100000\n49943 74996\n67362 100000\n33668 50628\n98666 100000\n72412 100000\n49926 74970\n28020 42106\n51248 76927\n82480 100000\n72285 100000\n34743 52236\n70719 100000\n59950 89995\n26105 39231\n172 256\n6105 9164\n55555 83387\n24451 36765\n20488 30832\n31950 48044\n99353 100000\n20780 31267\n46571 69924\n34582 51984\n5695 8544\n31427 47258\n64661 97014\n99760 100000\n58129 87249\n59828 89809\n48497 72849\n543 825\n23545 35406\n48715 73171\n7959 11991\n50740 76168\n43367 65130\n42171 63333\n3140 4738\n28165 42317\n80579 100000\n56962 85488\n23254 34963\n24794 37288\n28326 42558\n24185 36375\n65489 98235\n87613 100000\n80970 100000\n60688 91098\n38215 57451\n75033 100000\n44124 66262\n74629 100000\n98441 100000\n55700 83607\n72075 100000\n28955 43514\n56069 84162\n57638 86504\n28364 42618\n11260 16958\n48836 73344\n64946 97429\n24773 37256\n48529 72893\n49630 74531\n4041 6074\n13072 19688\n78750 100000\n81363 100000\n49469 74284\n34578 51977\n85604 100000\n37134 55843\n12231 18428\n52041 78121\n90223 100000\n13515 20342\n39441 59281\n76177 100000\n43270 64979\n96781 100000\n72063 100000\n72791 100000\n57766 86700\n52211 78381\n77002 100000\n93652 100000\n24842 37358\n94942 100000\n95087 100000\n23485 35317\n94323 100000\n96375 100000\n70375 100000\n88047 100000\n9413 14184\n29671 44589\n9223 13888\n47775 71724\n83597 100000\n29750 44713\n61525 92355\n76993 100000\n64289 96456\n30834 46345\n98712 100000\n64064 96124\n84520 100000\n45775 68721\n81780 100000\n41058 61666\n37810 56850\n67145 100000\n17597 26471\n97931 100000\n67655 100000\n40685 61116\n33361 50171\n36924 55526\n81528 100000\n72860 100000\n36471 54850\n68391 100000\n57653 86529\n81136 100000\n95055 100000\n50318 75547\n50291 75507\n45859 68851\n26911 40439\n8533 12863\n12869 19387\n40652 61068\n76290 100000\n70721 100000\n12307 18546\n68995 100000\n86940 100000\n16050 24130\n37062 55731\n74280 100000\n84419 100000\n70509 100000\n49652 74563\n13183 19854\n72070 100000\n16801 25260\n45299 68011\n52976 79521\n28101 42220\n49819 74805\n14413 21708\n49386 74161\n74260 100000\n5721 8584\n66745 100000\n47662 71552\n68252 100000\n63223 94893\n73999 100000\n22888 34425\n61751 92687\n42215 63398\n67588 100000\n61012 91593\n51575 77414\n84534 100000\n79015 100000\n9564 14405\n98558 100000\n76657 100000\n10802 16266\n62368 93609\n93921 100000\n64370 96572\n53865 80847\n37390 56224\n56418 84670\n65629 98443\n74170 100000\n78758 100000\n7477 11267\n74798 100000\n6695 10067\n81023 100000\n19684 29601\n38620 58069\n87257 100000\n14729 22177\n95081 100000\n33177 49906\n94661 100000\n65600 98400\n3349 5041\n70708 100000\n5758 8637\n58621 87993\n23854 35894\n11183 16839\n76720 100000\n75658 100000\n66172 99271\n20014 30108\n4853 7287\n4191 6290\n66410 99630\n56637 84983\n9618 14488\n51674 77564\n19972 30043\n59920 89947\n85487 100000\n43242 64934\n82214 100000\n96497 100000\n68313 100000\n9127 13743\n24942 37504\n12948 19507\n79953 100000\n22957 34522\n95045 100000\n89151 100000\n87179 100000\n8775 13216\n65747 98618\n97509 100000\n69825 100000\n65463 98197\n49004 73588\n24033 36151\n9616 14485\n46310 69535\n71309 100000\n58724 88150\n89148 100000\n52251 78439\n912 1385\n10051 15137\n82101 100000\n76274 100000\n55098 82693\n18162 27331\n4326 6489\n66984 100000\n72880 100000\n1923 2906\n80606 100000\n17443 26231\n11087 16691\n62186 93335\n86736 100000\n33676 50641\n27869 41881\n9648 14536\n83984 100000\n26445 39742\n39276 59035\n64499 96767\n16150 24284\n10056 15143\n11682 17613\n79630 100000\n35555 53446\n71306 100000\n44392 66642\n91962 100000\n32530 48934\n22447 33762\n66738 100000\n33854 50909\n41229 61923\n38967 58587\n45980 69035\n23991 36088\n23098 34737\n86116 100000\n54791 82238\n38870 58440\n90311 100000\n19507 29337\n8856 13335\n36150 54348\n56216 84378\n13821 20810\n78591 100000\n16163 24305\n55597 83448\n4145 6219\n74899 100000\n77720 100000\n65788 98679\n99321 100000\n27596 41473\n95157 100000\n21995 33085\n69449 100000\n9352 14094\n217 322\n96407 100000\n25684 38608\n69614 100000\n5935 8911\n24692 37135\n42048 63152\n61725 92648\n36807 55341\n20049 30162\n60478 90777\n90215 100000\n78703 100000\n11173 16826\n27942 41991\n18265 27488\n99105 100000\n21394 32181\n16859 25345\n96092 100000\n3233 4875\n15361 23100\n79963 100000\n14237 21435\n65501 98254\n10254 15445\n23506 35346\n94541 100000\n69527 100000\n51347 77082\n60786 91244\n59157 88804\n92529 100000\n89709 100000\n15199 22866\n72067 100000\n38608 58049\n94205 100000\n59924 89954\n62675 94073\n76526 100000\n8832 13305\n87593 100000\n18502 27840\n28727 43168\n95953 100000\n99672 100000\n12319 18565\n54758 82186\n30997 46598\n95802 100000\n10427 15716\n88287 100000\n34577 51975\n45128 67749\n51062 76646\n55414 83170\n98675 100000\n11131 16762\n60311 90529\n89318 100000\n75625 100000\n83469 100000\n38503 57893\n16724 25145\n94840 100000\n13596 20465\n18427 27728\n58495 87801\n65038 97559\n52328 78558\n40034 60144\n4658 6992\n1291 1948\n38809 58348\n34893 52467\n24848 37368\n51519 77331\n13510 20335\n68699 100000\n53657 80525\n92146 100000\n35767 53766\n53881 80872\n87405 100000\n45881 68884\n98149 100000\n30974 46565\n20204 30392\n35116 52787\n5361 8057\n15566 23396\n51240 76913\n55072 82652\n88866 100000\n27844 41847\n14790 22271\n52206 78373\n58333 87564\n50767 76208\n20639 31055\n82650 100000\n96600 100000\n76872 100000\n57068 85649\n73634 100000\n60915 91447\n39721 59692\n7875 11865\n56381 84619\n73467 100000\n20195 30379\n85712 100000\n79453 100000\n36097 54269\n50562 75905\n75464 100000\n6245 9370\n98022 100000\n32314 48609\n32211 48449\n60798 91265\n19847 29852\n70665 100000\n23454 35268\n72622 100000\n34097 51276\n85477 100000\n23524 35376\n91519 100000\n7585 11436\n38204 57436\n18715 28160\n64303 96477\n34792 52311\n79452 100000\n9993 15044\n75694 100000\n76606 100000\n22285 33526\n96041 100000\n20461 30790\n56033 84109\n11335 17070\n68206 100000\n91932 100000\n29193 43872\n79777 100000\n68722 100000\n30322 45562\n6 9\n20529 30894\n79331 100000\n64672 97030\n29225 43925\n39020 58668\n69654 100000\n7441 11210\n4880 7324\n12702 19127\n80232 100000\n71969 100000\n60423 90694\n18982 28564\n67209 100000\n23916 35990\n91494 100000\n638 969\n20530 30895\n81065 100000\n13421 20208\n8197 12352\n12007 18104\n76647 100000\n14291 21517\n95531 100000\n59659 89556\n78794 100000\n2872 4338\n18641 28042\n41317 62054\n95144 100000\n64897 97367\n96269 100000\n96602 100000\n56509 84800\n47659 71547\n79946 100000\n95664 100000\n56850 85321\n82174 100000\n68519 100000\n62989 94545\n66125 99200\n87709 100000\n67346 100000\n45479 68286\n93871 100000\n56706 85085\n35420 53243\n58021 87084\n33190 49926\n34968 52573\n21323 32080\n65764 98642\n93138 100000\n47603 71460\n43871 65886\n81349 100000\n31070 46710\n71077 100000\n26886 40403\n34670 52123\n79603 100000\n96022 100000\n62956 94494\n38583 58011\n64168 96277\n26333 39575\n825 1253\n49014 73601\n11756 17731\n35472 53321\n99177 100000\n50421 75697\n46850 70346\n74697 100000\n52831 79300\n7576 11418\n55849 83828\n75436 100000\n47 68\n36815 55354\n66969 100000\n76426 100000\n84630 100000\n89641 100000\n92044 100000\n36970 55593\n90881 100000\n20120 30270\n72921 100000\n89045 100000\n47175 70816\n34080 51254\n42061 63173\n45651 68533\n97052 100000\n62169 93312\n26877 40390\n58802 88274\n3658 5488\n67860 100000\n53325 80032\n90533 100000\n68442 100000\n11007 16572\n63092 94701\n7280 10971\n28552 42905\n8724 13139\n64264 96420\n27032 40619\n4098 6153\n17591 26459\n75282 100000\n34568 51962\n32896 49485\n59106 88726\n40190 60381\n76745 100000\n49156 73817\n30593 45980\n39903 59947\n25741 38696\n46421 69701\n48138 72293\n68088 100000\n47871 71867\n99041 100000\n85061 100000\n69105 100000\n73474 100000\n33027 49683\n54627 81989\n5428 8156\n60 89\n34331 51621\n38064 57217\n31633 47575\n26436 39729\n5268 7916\n56578 84900\n92966 100000\n40654 61072\n45436 68219\n2802 4230\n93167 100000\n82953 100000\n13971 21038\n48238 72446\n89927 100000\n74990 100000\n4558 6836\n89263 100000\n35314 53090\n14469 21789\n1763 2674\n29932 44976\n51936 77961\n16373 24617\n99459 100000\n95220 100000\n40898 61433\n96850 100000\n47180 70824\n43704 65633\n86193 100000\n52296 78509\n78762 100000\n17693 26614\n43697 65624\n568 862\n96627 100000\n74779 100000\n67935 100000\n2966 4475\n96578 100000\n2002 3020\n72160 100000\n86336 100000\n18392 27674\n85854 100000\n76215 100000\n989 1496\n25400 38186\n14750 22211\n40388 60668\n19309 29046\n40807 61298\n3655 5482\n2168 3272\n57754 86683\n11340 17076\n94345 100000\n22947 34506\n93724 100000\n32135 48324\n97225 100000\n15656 23533\n84261 100000\n22420 33718\n71346 100000\n29534 44383\n36069 54225\n16890 25394\n85928 100000\n48186 72364\n7130 10746\n93500 100000\n73602 100000\n15149 22797\n71347 100000\n19215 28903\n50487 75795\n73671 100000\n69020 100000\n85159 100000\n14909 22443\n3645 5466\n38062 57215\n25925 38965\n31602 47528\n58556 87894\n51358 77096\n19551 29402\n23066 34684\n28979 43549\n75488 100000\n3212 4847\n83250 100000\n17427 26211\n85005 100000\n48429 72739\n52946 79474\n68458 100000\n81278 100000\n20161 30330\n49586 74465\n7150 10774\n60692 91105\n1357 2045\n50646 76025\n51027 76594\n77279 100000\n61171 91824\n4487 6732\n17913 26954\n90197 100000\n37528 56434\n26371 39632\n78060 100000\n53425 80184\n59746 89695\n66421 99651\n97269 100000\n63907 95893\n67917 100000\n8934 13456\n27527 41370\n74680 100000\n27194 40866\n41291 62017\n11891 17932\n37081 55764\n11275 16979\n56715 85101\n38754 58269\n15652 23527\n48173 72346\n5819 8733\n25887 38912\n51144 76770\n76052 100000\n72638 100000\n86700 100000\n8341 12571\n82484 100000\n77692 100000\n49528 74377\n62819 94297\n92216 100000\n37892 56976\n76003 100000\n87856 100000\n24329 36584\n60156 90296\n94025 100000\n50929 76448\n42179 63347\n84479 100000\n85153 100000\n50406 75674\n20540 30909\n35946 54034\n12801 19281\n16311 24524\n14409 21702\n16881 25378\n31350 47139\n38807 58345\n64180 96296\n70890 100000\n53676 80553\n6823 10268\n47912 71936\n67253 100000\n68774 100000\n67973 100000\n35471 53320\n2497 3773\n18788 28272\n54167 81303\n48183 72361\n99422 100000\n99837 100000\n58629 88003\n51331 77058\n14770 22241\n83968 100000\n83130 100000\n21417 32214\n37571 56496\n39873 59903\n60661 91059\n89435 100000\n26064 39164\n94838 100000\n14667 22085\n37072 55748\n31341 47127\n59822 89799\n18266 27489\n51517 77329\n67173 100000\n49147 73804\n65079 97623\n59218 88896\n23220 34918\n31413 47236\n17371 26131\n66490 99748\n20510 30866\n17765 26728\n78474 100000\n90120 100000\n58430 87704\n63643 95511\n88343 100000\n33131 49839\n54701 82099\n38219 57458\n47044 70628\n32043 48184\n21491 32322\n2192 3308\n46825 70305\n59720 89653\n2521 3807\n92201 100000\n2335 3529\n42421 63709\n66595 99904\n16999 25557\n43045 64641\n7464 11246\n87529 100000\n61137 91775\n38921 58515\n98319 100000\n64285 96452\n56749 85159\n56579 84902\n394 589\n59434 89231\n43775 65743\n21766 32742\n60486 90789\n56890 85379\n86948 100000\n49049 73656\n32771 49299\n99923 100000\n53724 80625\n7652 11534\n45922 68944\n7644 11523\n44926 67442\n88181 100000\n45224 67891\n23510 35353\n25979 39045\n30290 45511\n23767 35758\n75188 100000\n93511 100000\n57334 86047\n49287 74016\n25622 38515\n81384 100000\n54799 82249\n54682 82069\n59194 88857\n14584 21962\n14599 21984\n29350 44108\n22175 33359\n29402 44186\n72436 100000\n60635 91017\n8593 12951\n69201 100000\n71909 100000\n75847 100000\n10364 15620\n85491 100000\n75703 100000\n28930 43474\n68055 100000\n96923 100000\n21907 32955\n75948 100000\n75491 100000\n69398 100000\n18128 27283\n86400 100000\n59245 88939\n39964 60037\n82918 100000\n32277 48555\n78757 100000\n19577 29442\n20854 31381\n29773 44745\n32878 49463\n15539 23356\n94843 100000\n41681 62607\n70364 100000\n86472 100000\n78409 100000\n2641 3992\n94357 100000\n57743 86666\n68628 100000\n90277 100000\n63091 94700\n53184 79821\n30471 45790\n28231 42413\n90089 100000\n98869 100000\n37791 56822\n73119 100000\n22951 34513\n85488 100000\n46591 69949\n8421 12696\n94068 100000\n81608 100000\n7208 10861\n26707 40123\n38621 58070\n26289 39508\n63679 95564\n28358 42609\n10681 16082\n65087 97633\n51553 77381\n27634 41533\n53956 80981\n9328 14057\n32388 48717\n31858 47911\n36190 54414\n53694 80579\n11566 17430\n77553 100000\n72830 100000\n58521 87840\n65203 97812\n44744 67162\n32469 48840\n39325 59110\n88511 100000\n36337 54648\n88073 100000\n3894 5841\n75026 100000\n95688 100000\n98190 100000\n74942 100000\n17675 26586\n73657 100000\n8794 13246\n94873 100000\n62044 93125\n46210 69380\n58690 88099\n48865 73385\n55800 83760\n75453 100000\n3830 5748\n53986 81028\n31364 47159\n61024 91610\n41420 62213\n33626 50564\n36832 55379\n46694 70102\n71497 100000\n85924 100000\n6401 9623\n95514 100000\n30297 45522\n8397 12661\n15508 23315\n22974 34549\n94756 100000\n51529 77346\n81485 100000\n75457 100000\n34529 51906\n62480 93775\n93941 100000\n21249 31970\n7780 11730\n41611 62504\n76504 100000\n12288 18515\n3780 5673\n74617 100000\n75633 100000\n51886 77887\n52336 78570\n74950 100000\n97283 100000\n30168 45332\n86531 100000\n16932 25463\n33418 50259\n52185 78338\n28958 43519\n71325 100000\n23280 35003\n99424 100000\n49025 73618\n37200 55940\n1936 2924\n56323 84535\n50705 76115\n14140 21280\n36259 54527\n61929 92953\n82717 100000\n6542 9834\n82566 100000\n24225 36438\n31451 47298\n55225 82886\n88637 100000\n32732 49237\n36193 54418\n88913 100000\n17771 26736\n88882 100000\n42818 64309\n98823 100000\n1433 2161\n15119 22758\n33327 50123\n29754 44718\n46070 69168\n93761 100000\n75809 100000\n21969 33050\n23800 35807\n6962 10478\n42820 64312\n1280 1931\n58891 88405\n62477 93770\n96756 100000\n17774 26742\n69158 100000\n82904 100000\n77860 100000\n64816 97246\n24578 36963\n66478 99731\n51824 77786\n17032 25611\n57932 86949\n77135 100000\n53164 79792\n3 4\n24159 36341\n83076 100000\n61971 93014\n92025 100000\n15598 23449\n28286 42496\n77430 100000\n44576 66909\n30804 46295\n76809 100000\n29240 43944\n88355 100000\n55034 82597\n11179 16834\n48162 72332\n71586 100000\n47296 70999\n23054 34666\n19689 29607\n33659 50613\n4893 7343\n66389 99600\n56173 84310\n25061 37684\n74232 100000\n29079 43700\n63798 95733\n92383 100000\n90545 100000\n14814 22309\n86486 100000\n75406 100000\n84329 100000\n64692 97060\n78873 100000\n84198 100000\n44591 66935\n15103 22736\n74834 100000\n83398 100000\n33465 50324\n67084 100000\n89530 100000\n23862 35905\n48267 72489\n25315 38061\n42676 64104\n71324 100000\n59590 89452\n60694 91108\n2685 4055\n89871 100000\n77371 100000\n78952 100000\n74452 100000\n19415 29204\n72614 100000\n97780 100000\n13807 20784\n84060 100000\n52582 78936\n83722 100000\n77889 100000\n87115 100000\n27810 41798\n66294 99454\n5690 8538\n69878 100000\n81130 100000\n5483 8233\n96606 100000\n12469 18788\n93438 100000\n38040 57186\n58745 88183\n89134 100000\n97928 100000\n74667 100000\n89074 100000\n97487 100000\n76951 100000\n17065 25663\n67132 100000\n24718 37175\n93112 100000\n78117 100000\n37971 57086\n98604 100000\n83372 100000\n5056 7589\n58782 88241\n58882 88391\n65257 97893\n26292 39511\n65319 97984\n11856 17879\n13145 19797\n25192 37881\n68137 100000\n54122 81236\n69732 100000\n66594 99903\n7717 11632\n37672 56647\n59449 89252\n34991 52608\n21603 32492\n86754 100000\n35864 53910\n98029 100000\n73271 100000\n85613 100000\n48477 72814\n23121 34772\n74115 100000\n1680 2542\n38437 57797\n31863 47917\n90494 100000\n32197 48427\n65483 98226\n49762 74724\n40788 61269\n58705 88120\n21166 31841\n17138 25770\n72988 100000\n53889 80885\n82126 100000\n8634 13011\n84944 100000\n8209 12372\n5795 8693\n6655 10007\n57412 86162\n28747 43197\n28000 42076\n72986 100000\n80184 100000\n56147 84269\n31503 47372\n76991 100000\n68145 100000\n49662 74576\n76454 100000\n36598 55036\n87594 100000\n54562 81893\n60603 90964\n17804 26786\n55878 83869\n84956 100000\n64201 96326\n78510 100000\n66345 99532\n10633 16012\n14055 21158\n62630 94006\n59662 89561\n83456 100000\n97319 100000\n86785 100000\n92860 100000\n62012 93077\n42600 63993\n22428 33731\n12170 18343\n43388 65159\n52761 79200\n71181 100000\n16133 24258\n82496 100000\n49719 74658\n12682 19100\n40780 61257\n71604 100000\n84233 100000\n37209 55955\n72317 100000\n32921 49526\n7660 11549\n30383 45655\n16683 25087\n65095 97647\n2399 3628\n88475 100000\n48777 73255\n82903 100000\n59091 88703\n66705 100000\n70959 100000\n10394 15663\n61592 92447\n35197 52910\n22317 33571\n29916 44953\n12433 18738\n7580 11426\n58042 87114\n24612 37015\n62148 93284\n5514 8280\n95304 100000\n71992 100000\n29148 43802\n55135 82756\n86172 100000\n48739 73208\n62612 93982\n66799 100000\n86392 100000\n3611 5415\n74864 100000\n83033 100000\n82965 100000\n60078 90182\n38393 57726\n31781 47792\n31538 47427\n53002 79557\n20310 30560\n36596 55032\n60414 90682\n20951 31528\n78452 100000\n87677 100000\n81879 100000\n27287 41006\n50854 76335\n22029 33134\n7432 11195\n40286 60517\n21507 32343\n60597 90956\n98135 100000\n59980 90036\n93798 100000\n4365 6548\n21709 32658\n39535 59416\n47432 71204\n18204 27395\n87453 100000\n56688 85059\n71646 100000\n67483 100000\n34014 51155\n82908 100000\n90044 100000\n28524 42861\n40326 60575\n98786 100000\n32490 48870\n33113 49812\n87417 100000\n80246 100000\n28436 42728\n74124 100000\n16471 24761\n98237 100000\n4306 6460\n67679 100000\n86030 100000\n86042 100000\n56507 84796\n45704 68614\n59145 88784\n76933 100000\n35075 52729\n71641 100000\n18833 28340\n18075 27201\n39403 59226\n35380 53185\n50715 76130\n23832 35859\n92219 100000\n90861 100000\n46350 69594\n46011 69084\n57040 85606\n76011 100000\n90725 100000\n26046 39141\n28070 42176\n56099 84203\n98625 100000\n50273 75481\n78476 100000\n90137 100000\n56470 84742\n21262 31988\n8600 12960\n54077 81160\n17251 25937\n12021 18126\n60405 90667\n39200 58918\n13592 20459\n23081 34709\n75158 100000\n30942 46513\n56481 84759\n11458 17263\n35725 53703\n57199 85849\n44310 66528\n63181 94833\n38159 57368\n51539 77362\n34642 52077\n65331 98001\n79421 100000\n98080 100000\n52686 79095\n27829 41825\n36726 55224\n95992 100000\n94454 100000\n93895 100000\n57420 86173\n62432 93708\n79797 100000\n19238 28938\n58241 87415\n91322 100000\n44347 66580\n89644 100000\n12318 18563\n10019 15083\n42732 64186\n38420 57769\n44074 66186\n8923 13439\n88081 100000\n59051 88643\n20663 31089\n96469 100000\n88714 100000\n95748 100000\n9150 13777\n75614 100000\n76787 100000\n98546 100000\n42196 63370\n47796 71756\n32171 48386\n86088 100000\n32165 48377\n47133 70753\n53233 79893\n62194 93346\n48574 72960\n10058 15147\n65393 98087\n61207 91878\n77615 100000\n54008 81060\n94225 100000\n13315 20051\n79437 100000\n46853 70352\n61799 92760\n31866 47922\n44885 67374\n14425 21724\n80923 100000\n8695 13100\n98829 100000\n37589 56519\n32059 48210\n28575 42940\n51197 76850\n53602 80443\n22882 34415\n74844 100000\n85898 100000\n91684 100000\n51781 77723\n39004 58646\n53008 79563\n12792 19267\n16837 25309\n1983 2994\n6109 9171\n62959 94498\n57727 86644\n59179 88837\n96883 100000\n21522 32364\n12706 19133\n1876 2841\n96001 100000\n7549 11380\n61201 91870\n98001 100000\n14782 22257\n73008 100000\n24596 36992\n74958 100000\n43710 65641\n57989 87036\n94029 100000\n8973 13516\n44871 67352\n94178 100000\n61833 92809\n71673 100000\n64012 96044\n9144 13768\n87408 100000\n28292 42505\n2353 3559\n81230 100000\n18362 27631\n97034 100000\n29387 44162\n56539 84844\n33931 51024\n82731 100000\n60457 90745\n56445 84709\n80450 100000\n81417 100000\n59240 88932\n59623 89502\n84389 100000\n78776 100000\n25748 38706\n20578 30965\n24163 36346\n95191 100000\n66575 99880\n25283 38016\n92906 100000\n33306 50091\n61311 92030\n19952 30009\n62797 94261\n99749 100000\n85876 100000\n94393 100000\n56668 85029\n42991 64566\n15805 23751\n73817 100000\n32949 49568\n4986 7482\n11600 17483\n64761 97160\n67428 100000\n25251 37966\n3208 4841\n8238 12419\n54663 82041\n24459 36778\n4075 6121\n24699 37146\n35550 53439\n24919 37469\n72245 100000\n93216 100000\n74847 100000\n15686 23574\n85179 100000\n59094 88708\n90243 100000\n22103 33252\n92908 100000\n85211 100000\n61500 92315\n15492 23291\n83415 100000\n74789 100000\n83811 100000\n88254 100000\n14196 21371\n93332 100000\n70024 100000\n80588 100000\n92664 100000\n54087 81175\n38341 57651\n62517 93830\n10035 15110\n7135 10752\n83014 100000\n86676 100000\n7907 11912\n86243 100000\n66757 100000\n35944 54030\n98545 100000\n63079 94684\n43155 64801\n63992 96015\n83029 100000\n12712 19143\n5312 7988\n35722 53699\n85352 100000\n8139 12264\n46963 70509\n4716 7076\n53636 80494\n17005 25566\n67874 100000\n15893 23889\n64210 96337\n54162 81295\n31480 47340\n15927 23935\n78972 100000\n38161 57372\n79870 100000\n86335 100000\n10817 16287\n83386 100000\n72569 100000\n43401 65181\n25550 38405\n42165 63323\n41358 62116\n28720 43155\n15465 23251\n4694 7043\n42339 63591\n62866 94365\n47708 71626\n56002 84059\n80931 100000\n42966 64530\n90610 100000\n2302 3477\n86160 100000\n28966 43532\n52930 79449\n83796 100000\n26762 40213\n75627 100000\n82586 100000\n46031 69114\n57865 86845\n36509 54907\n92896 100000\n74561 100000\n53023 79585\n8460 12753\n71687 100000\n92323 100000\n67564 100000\n1377 2076\n41723 62670\n31930 48015\n85294 100000\n59003 88573\n36495 54885\n80835 100000\n96802 100000\n41792 62774\n43743 65694\n84255 100000\n71505 100000\n98633 100000\n84563 100000\n78976 100000\n10619 15994\n91547 100000\n13000 19584\n26220 39405\n12183 18361\n6764 10175\n15090 22720\n46945 70483\n41285 62007\n35881 53934\n24846 37365\n96707 100000\n42821 64313\n39948 60015\n96483 100000\n87361 100000\n92968 100000\n96864 100000\n61875 92874\n17096 25706\n11430 17217\n53918 80927\n1285 1937\n72433 100000\n90491 100000\n56682 85049\n77210 100000\n89963 100000\n42436 63734\n41816 62812\n79793 100000\n37578 56507\n11819 17822\n30308 45539\n68331 100000\n74228 100000\n4550 6826\n19823 29812\n483 728\n53275 79954\n22088 33227\n35061 52710\n19137 28788\n21567 32432\n43043 64639\n33797 50822\n46956 70499\n63291 94989\n48918 73460\n45759 68697\n70759 100000\n6611 9934\n5459 8198\n15745 23655\n9817 14779\n42800 64285\n59297 89023\n80386 100000\n87010 100000\n40298 60533\n48841 73350\n52852 79330\n18572 27940\n41853 62869\n40111 60261\n65276 97920\n15808 23756\n8790 13240\n88154 100000\n75796 100000\n29585 44465\n32779 49310\n6426 9663\n28407 42685\n96124 100000\n94366 100000\n8012 12073\n57314 86016\n46740 70171\n54677 82063\n96769 100000\n9103 13707\n73702 100000\n84285 100000\n74201 100000\n51236 76906\n83419 100000\n97027 100000\n37140 55852\n67416 100000\n86383 100000\n70219 100000\n92420 100000\n8636 13015\n77665 100000\n69410 100000\n67598 100000\n79706 100000\n60783 91240\n52517 78841\n85046 100000\n33425 50269\n97632 100000\n2169 3274\n67410 100000\n4001 6009\n64755 97152\n44485 66776\n94143 100000\n93835 100000\n89529 100000\n59410 89195\n12427 18730\n70799 100000\n91370 100000\n6016 9029\n99858 100000\n1080 1634\n87707 100000\n49776 74746\n31373 47174\n77057 100000\n42083 63204\n44429 66696\n23679 35620\n55123 82734\n82659 100000\n54436 81706\n92256 100000\n26506 39827\n12496 18824\n1921 2903\n57504 86299\n63860 95827\n24030 36146\n2977 4490\n13856 20867\n13384 20153\n38022 57163\n99082 100000\n32075 48234\n79925 100000\n52531 78864\n62005 93064\n79800 100000\n54171 81310\n45064 67655\n50766 76206\n98883 100000\n64054 96110\n17048 25637\n75827 100000\n26250 39447\n95314 100000\n11699 17640\n6391 9605\n45307 68023\n89255 100000\n89115 100000\n12471 18790\n25362 38130\n27364 41122\n10374 15634\n81674 100000\n86526 100000\n73592 100000\n29144 43796\n77660 100000\n41486 62319\n46755 70193\n54217 81376\n40292 60526\n55234 82897\n95072 100000\n32752 49267\n49243 73954\n31145 46827\n74409 100000\n52247 78434\n60607 90969\n63628 95489\n43900 65927\n1263 1902\n14620 22016\n52294 78507\n87208 100000\n7077 10661\n76059 100000\n83107 100000\n87791 100000\n91715 100000\n5426 8154\n79602 100000\n5701 8555\n3649 5470\n73423 100000\n90075 100000\n10160 15301\n72498 100000\n64141 96239\n86513 100000\n2602 3928\n31797 47817\n18783 28265\n63070 94670\n66219 99343\n85571 100000\n57231 85897\n28710 43141\n14808 22300\n59823 89801\n22791 34274\n86773 100000\n21587 32467\n43478 65296\n24795 37290\n976 1479\n45668 68560\n72896 100000\n35070 52723\n91003 100000\n96667 100000\n17281 25987\n75526 100000\n93497 100000\n44128 66268\n61237 91927\n76391 100000\n95444 100000\n67122 100000\n46953 70495\n2792 4216\n16000 24050\n97615 100000\n46948 70488\n25096 37739\n22920 34466\n80879 100000\n76265 100000\n61774 92722\n11169 16819\n3056 4612\n37101 55791\n19378 29147\n88609 100000\n14838 22342\n11808 17809\n67315 100000\n65909 98862\n11742 17710\n21744 32708\n69448 100000\n69866 100000\n82961 100000\n60703 91119\n23940 36026\n18150 27315\n45218 67882\n35559 53452\n34281 51548\n84164 100000\n76648 100000\n92080 100000\n49206 73895\n12067 18196\n47902 71920\n78850 100000\n78095 100000\n44595 66940\n35761 53758\n77372 100000\n69863 100000\n47687 71592\n15023 22615\n13277 19994\n9985 15032\n33640 50588\n60333 90563\n98064 100000\n64787 97205\n62896 94410\n17672 26582\n80553 100000\n21517 32357\n97037 100000\n49441 74241\n37884 56965\n32742 49250\n17356 26109\n50933 76453\n29120 43761\n31173 46870\n74848 100000\n20842 31364\n78647 100000\n27020 40603\n94607 100000\n60580 90929\n23498 35337\n13653 20552\n18751 28216\n85621 100000\n50712 76126\n99808 100000\n33786 50806\n55550 83380\n14617 22011\n24456 36772\n86565 100000\n6748 10151\n84489 100000\n40565 60933\n87639 100000\n86308 100000\n22426 33728\n70481 100000\n33556 50463\n97783 100000\n5354 8047\n80031 100000\n70983 100000\n55465 83251\n91794 100000\n58740 88175\n68571 100000\n63134 94766\n67014 100000\n91798 100000\n44250 66437\n50907 76411\n56764 85188\n72799 100000\n97799 100000\n60714 91134\n75648 100000\n49001 73583\n633 963\n61909 92926\n14556 21917\n2100 3165\n57061 85638\n61402 92162\n47383 71131\n65277 97922\n68486 100000\n59058 88655\n93039 100000\n57478 86260\n62315 93531\n95555 100000\n59838 89825\n81304 100000\n43337 65085\n45534 68364\n3867 5806\n64452 96697\n88711 100000\n25928 38971\n6172 9263\n88091 100000\n84629 100000\n62937 94467\n40616 61017\n4065 6109\n40667 61092\n85756 100000\n27174 40833\n14972 22538\n17662 26570\n93364 100000\n77649 100000\n7590 11444\n83371 100000\n35662 53604\n34099 51280\n49857 74865\n54756 82183\n70079 100000\n82411 100000\n81073 100000\n88653 100000\n22313 33567\n37164 55884\n58730 88159\n98122 100000\n17549 26396\n9479 14283\n93403 100000\n59783 89746\n80538 100000\n41093 61722\n7893 11892\n8017 12081\n39700 59661\n78127 100000\n89966 100000\n95101 100000\n81239 100000\n29430 44232\n43230 64916\n12508 18841\n73952 100000\n29513 44351\n68996 100000\n24481 36815\n82558 100000\n11371 17122\n41310 62044\n1872 2837\n72450 100000\n42206 63385\n22695 34131\n94217 100000\n89918 100000\n67673 100000\n71442 100000\n24610 37012\n87773 100000\n28630 43028\n7659 11547\n90828 100000\n40142 60306\n31936 48023\n8187 12336\n88730 100000\n57134 85748\n32423 48767\n66635 99969\n7413 11164\n80621 100000\n95828 100000\n21688 32624\n85013 100000\n98428 100000\n6184 9280\n49390 74168\n31585 47501\n26711 40130\n62006 93066\n5200 7813\n86046 100000\n70342 100000\n11237 16923\n65986 98981\n48314 72567\n8605 12966\n95764 100000\n7802 11758\n24266 36495\n8380 12636\n82962 100000\n67575 100000\n70599 100000\n31515 47390\n88131 100000\n12000 18092\n94540 100000\n68902 100000\n75229 100000\n2830 4272\n27452 41262\n74769 100000\n77700 100000\n1557 2353\n33812 50843\n87188 100000\n47384 71132\n23816 35834\n3698 5545\n42129 63268\n81889 100000\n76056 100000\n17906 26942\n83926 100000\n71379 100000\n86725 100000\n72835 100000\n75520 100000\n87153 100000\n77112 100000\n55983 84030\n20759 31238\n8022 12089\n23793 35795\n54824 82285\n42290 63515\n89514 100000\n82909 100000\n71766 100000\n25001 37594\n30146 45295\n35845 53882\n94958 100000\n6187 9285\n74188 100000\n91662 100000\n97633 100000\n68254 100000\n57302 86000\n75752 100000\n50088 75206\n40397 60680\n27759 41720\n11252 16946\n96931 100000\n91124 100000\n43347 65101\n74747 100000\n70847 100000\n81450 100000\n73570 100000\n33733 50728\n3951 5932\n7358 11085\n78535 100000\n34650 52091\n2007 3028\n87038 100000\n13746 20690\n71765 100000\n82180 100000\n37142 55854\n77883 100000\n6143 9223\n58307 87522\n42840 64343\n58543 87871\n78226 100000\n79532 100000\n84166 100000\n29376 44146\n15844 23811\n4388 6585\n31991 48110\n35410 53227\n35892 53952\n58927 88456\n85178 100000\n12896 19428\n88841 100000\n84678 100000\n81311 100000\n21385 32167\n5684 8529\n81217 100000\n89398 100000\n63732 95637\n65012 97523\n72632 100000\n28026 42114\n69489 100000\n23450 35262\n85785 100000\n4008 6022\n74901 100000\n55917 83928\n33520 50410\n53123 79730\n45696 68604\n85754 100000\n1849 2804\n44776 67212\n21194 31885\n94618 100000\n58069 87157\n7902 11902\n24603 37001\n61593 92448\n56247 84423\n59451 89256\n50163 75312\n81945 100000\n54782 82226\n97785 100000\n83140 100000\n6061 9096\n17279 25984\n85748 100000\n70098 100000\n6990 10525\n76497 100000\n6906 10392\n29530 44378\n2197 3317\n54698 82094\n83259 100000\n94027 100000\n66783 100000\n29914 44951\n66193 99300\n83125 100000\n4109 6168\n65979 98971\n739 1125\n19235 28933\n54394 81642\n82338 100000\n56705 85083\n84676 100000\n15143 22789\n37022 55674\n1373 2071\n21637 32548\n68971 100000\n34733 52219\n54063 81139\n86536 100000\n13964 21029\n75713 100000\n5325 8007\n38250 57509\n79025 100000\n45725 68647\n16656 25044\n69841 100000\n76621 100000\n52895 79395\n25182 37866\n34049 51204\n44965 67505\n52846 79323\n69975 100000\n90938 100000\n40115 60266\n76224 100000\n6796 10225\n47629 71500\n59742 89689\n80197 100000\n631 960\n85202 100000\n8296 12508\n77932 100000\n29007 43591\n93285 100000\n24688 37129\n80719 100000\n99790 100000\n92722 100000\n94410 100000\n93986 100000\n71819 100000\n21871 32901\n56830 85288\n67033 100000\n48328 72588\n85736 100000\n71873 100000\n44580 66916\n97543 100000\n42466 63780\n84139 100000\n74855 100000\n6371 9576\n72418 100000\n26283 39500\n91382 100000\n31116 46782\n43694 65618\n53065 79646\n44956 67490\n24495 36838\n74417 100000\n40007 60105\n55334 83053\n66748 100000\n44615 66971\n67429 100000\n38413 57756\n30911 46463\n47285 70980\n51275 76968\n22721 34174\n64403 96622\n32302 48590\n76014 100000\n64372 96576\n71460 100000\n2682 4050\n50671 76065\n40122 60276\n6362 9559\n88863 100000\n40412 60703\n61920 92942\n69330 100000\n10661 16053\n86845 100000\n15354 23091\n25915 38954\n46778 70230\n67601 100000\n8905 13412\n64337 96526\n56064 84153\n66526 99802\n11528 17371\n23627 35538\n49474 74291\n60013 90086\n31985 48100\n75959 100000\n81834 100000\n94447 100000\n48674 73104\n5429 8157\n52697 79110\n42981 64553\n93127 100000\n4914 7376\n91108 100000\n6139 9215\n94011 100000\n95623 100000\n69810 100000\n65184 97784\n28977 43546\n80447 100000\n41866 62887\n4903 7358\n27593 41467\n69793 100000\n45925 68948\n79316 100000\n77607 100000\n23469 35292\n37565 56487\n2468 3730\n73420 100000\n74566 100000\n92473 100000\n90776 100000\n62922 94449\n32926 49532\n27843 41846\n2758 4165\n94543 100000\n5962 8951\n78554 100000\n46793 70253\n1304 1967\n89965 100000\n26565 39913\n71986 100000\n38196 57422\n85386 100000\n59269 88976\n71438 100000\n5526 8298\n35605 53521\n19103 28742\n15275 22975\n2440 3689\n8932 13453\n43774 65742\n57711 86618\n78466 100000\n83854 100000\n62266 93459\n50822 76286\n17016 25585\n9447 14237\n33240 49997\n47055 70643\n26878 40391\n32913 49512\n10026 15095\n56818 85270\n2209 3335\n22856 34373\n88241 100000\n1759 2668\n71612 100000\n68062 100000\n23243 34949\n10003 15059\n75351 100000\n49933 74979\n61418 92186\n33266 50035\n76561 100000\n82386 100000\n21562 32422\n91022 100000\n60422 90693\n91165 100000\n42403 63686\n68954 100000\n10771 16221\n65450 98174\n68792 100000\n17083 25689\n754 1143\n53171 79802\n96752 100000\n13221 19907\n79596 100000\n32654 49128\n53639 80499\n11581 17455\n21578 32451\n24575 36958\n30261 45472\n78713 100000\n67889 100000\n68049 100000\n61145 91787\n92732 100000\n7502 11307\n34956 52556\n3229 4870\n96784 100000\n51002 76557\n5733 8603\n84228 100000\n19166 28834\n29897 44925\n15721 23622\n15190 22850\n50238 75431\n78306 100000\n18011 27102\n38538 57950\n3235 4878\n48375 72654\n6874 10341\n26196 39369\n61764 92704\n14708 22146\n92996 100000\n67623 100000\n44561 66888\n39901 59944\n9881 14873\n16111 24222\n77003 100000\n94245 100000\n19817 29803\n40037 60148\n18949 28513\n12283 18508\n56036 84113\n94182 100000\n69291 100000\n65816 98723\n69284 100000\n49494 74325\n14761 22228\n2475 3742\n12110 18260\n73763 100000\n1766 2678\n13404 20183\n64971 97467\n64338 96527\n69421 100000\n17040 25624\n36903 55493\n74093 100000\n80260 100000\n29006 43590\n25898 38929\n64641 96981\n78424 100000\n2990 4510\n86133 100000\n52903 79407\n15390 23138\n63950 95957\n77335 100000\n93266 100000\n47790 71747\n96180 100000\n46993 70552\n73747 100000\n2501 3779\n61310 92029\n17576 26437\n25112 37762\n44725 67131\n53433 80197\n85877 100000\n89026 100000\n60284 90489\n47960 72016\n37593 56525\n68742 100000\n26971 40524\n16977 25529\n45256 67946\n79871 100000\n36082 54247\n90779 100000\n80657 100000\n4234 6350\n70762 100000\n69379 100000\n45042 67623\n79111 100000\n44712 67114\n17439 26227\n23818 35836\n99802 100000\n26743 40183\n5147 7728\n80038 100000\n43968 66029\n592 901\n8606 12968\n47675 71576\n58989 88550\n13040 19640\n77004 100000\n7095 10690\n48108 72246\n55960 83995\n20782 31271\n23182 34861\n81265 100000\n10928 16456\n54299 81512\n36751 55260\n57783 86728\n90946 100000\n86406 100000\n78746 100000\n58691 88101\n97730 100000\n83211 100000\n62628 94003\n1458 2197\n49172 73845\n54661 82037\n72165 100000\n56250 84427\n955 1445\n35727 53706\n30402 45683\n75305 100000\n90759 100000\n5319 7998\n63258 94946\n273 409\n56522 84818\n38857 58423\n31050 46680\n98285 100000\n61848 92832\n93084 100000\n99026 100000\n1322 1994\n28227 42406\n74677 100000\n35225 52952\n18257 27474\n52780 79226\n28337 42575\n92024 100000\n96779 100000\n95760 100000\n40611 61008\n46446 69740\n35103 52770\n46141 69274\n71473 100000\n37727 56732\n85957 100000\n91218 100000\n65695 98541\n49696 74622\n46937 70473\n39862 59887\n73498 100000\n60066 90164\n40789 61270\n34763 52268\n81043 100000\n10391 15660\n59721 89654\n49142 73798\n18039 27148\n18611 27998\n12558 18913\n19135 28785\n80595 100000\n3484 5230\n33515 50400\n11939 18005\n19085 28718\n27854 41860\n74828 100000\n16957 25499\n43238 64929\n8944 13471\n5522 8291\n53772 80701\n6215 9325\n68017 100000\n56903 85398\n90065 100000\n25656 38568\n19474 29290\n1861 2822\n80897 100000\n903 1371\n72635 100000\n15824 23780\n25708 38645\n32369 48690\n84149 100000\n64350 96543\n99192 100000\n6264 9401\n5940 8919\n27347 41096\n58973 88526\n82533 100000\n68809 100000\n23163 34833\n49079 73703\n91433 100000\n97792 100000\n6313 9476\n45497 68312\n55194 82844\n82364 100000\n69104 100000\n86747 100000\n28726 43166\n75689 100000\n78223 100000\n22549 33912\n78002 100000\n3259 4913\n27200 40874\n5264 7910\n62786 94244\n23711 35672\n111 163\n33616 50551\n67265 100000\n27292 41015\n10057 15145\n86204 100000\n31643 47588\n66877 100000\n26519 39846\n3414 5136\n56751 85163\n44756 67181\n57002 85545\n54385 81631\n46121 69243\n36689 55172\n6607 9929\n72144 100000\n87901 100000\n76629 100000\n18802 28294\n81030 100000\n79614 100000\n62448 93730\n51695 77597\n70046 100000\n50628 76001\n22079 33212\n1605 2423\n58213 87369\n96112 100000\n76383 100000\n10842 16323\n42079 63196\n94166 100000\n29445 44252\n60363 90608\n61722 92643\n6197 9300\n9893 14892\n22963 34532\n87198 100000\n76759 100000\n79694 100000\n44791 67234\n78764 100000\n64594 96913\n15076 22698\n19825 29815\n92226 100000\n79007 100000\n29829 44820\n50582 75934\n92871 100000\n45871 68870\n86911 100000\n7064 10639\n98008 100000\n80112 100000\n71553 100000\n42439 63739\n51933 77956\n61131 91767\n43547 65397\n88325 100000\n34622 52044\n92340 100000\n26147 39295\n32782 49315\n78992 100000\n49828 74820\n32169 48383\n45798 68758\n39408 59232\n49452 74257\n33382 50199\n82175 100000\n32196 48425\n9990 15040\n98400 100000\n6157 9242\n561 850\n94852 100000\n99275 100000\n9640 14522\n88198 100000\n74780 100000\n72074 100000\n63981 96001\n38114 57297\n89822 100000\n24158 36340\n35452 53293\n93561 100000\n89280 100000\n82952 100000\n15526 23338\n16036 24109\n79223 100000\n31333 47116\n16242 24425\n51585 77430\n14988 22562\n68395 100000\n30946 46519\n95867 100000\n66536 99818\n44855 67325\n66148 99239\n79358 100000\n50084 75200\n67207 100000\n23236 34941\n41676 62600\n60120 90247\n50781 76228\n50009 75094\n61570 92418\n42342 63597\n94151 100000\n55732 83652\n19387 29163\n3879 5821\n70650 100000\n52287 78495\n63921 95913\n79497 100000\n1281 1933\n88051 100000\n50314 75540\n63473 95255\n86546 100000\n3562 5342\n96728 100000\n34046 51200\n93411 100000\n99395 100000\n66233 99365\n29751 44714\n25731 38680\n31835 47872\n75605 100000\n12721 19157\n12725 19163\n8435 12716\n28394 42664\n21910 32960\n1570 2372\n87821 100000\n93025 100000\n84220 100000\n66878 100000\n25406 38196\n83830 100000\n50891 76386\n46282 69496\n94982 100000\n87430 100000\n44553 66878\n60863 91369\n30066 45175\n10592 15950\n185 273\n47743 71676\n86793 100000\n39302 59072\n16462 24749\n49273 73996\n66074 99121\n40960 61527\n53456 80228\n90694 100000\n50964 76499\n12693 19114\n7126 10740\n42719 64168\n53634 80491\n9762 14700\n86777 100000\n48677 73109\n24631 37043\n83579 100000\n65871 98808\n66677 100000\n96702 100000\n70043 100000\n36809 55343\n84266 100000\n65872 98809\n56711 85094\n22779 34256\n31147 46829\n7635 11509\n14663 22081\n66081 99133\n38369 57688\n45040 67621\n1495 2255\n62563 93904\n23120 34770\n88084 100000\n68150 100000\n43215 64888\n70246 100000\n39665 59608\n59314 89047\n79553 100000\n6650 10000\n11063 16657\n3858 5794\n73509 100000\n15147 22795\n15627 23490\n41774 62744\n89825 100000\n91027 100000\n46079 69182\n83025 100000\n81799 100000\n94426 100000\n90230 100000\n99124 100000\n71520 100000\n70016 100000\n46177 69332\n72359 100000\n15940 23953\n88444 100000\n11601 17484\n67370 100000\n89199 100000\n61524 92353\n67613 100000\n38890 58469\n30565 45937\n45322 68048\n38020 57161\n49600 74486\n87763 100000\n98150 100000\n26348 39598\n96830 100000\n2403 3634\n6119 9188\n11554 17409\n42757 64223\n80704 100000\n56307 84512\n16934 25467\n65153 97737\n97417 100000\n65775 98659\n98873 100000\n22198 33394\n85836 100000\n42113 63247\n83450 100000\n59470 89282\n86497 100000\n7268 10951\n59554 89401\n57352 86074\n44386 66635\n50593 75950\n98321 100000\n42297 63525\n2140 3226\n22231 33441\n78138 100000\n54933 82446\n33693 50665\n74793 100000\n10132 15258\n11960 18039\n98356 100000\n34434 51771\n25848 38853\n65562 98339\n41749 62707\n72637 100000\n23834 35862\n59028 88610\n28617 43008\n3909 5866\n32240 48497\n42352 63612\n39540 59422\n25849 38854\n85447 100000\n14259 21466\n89610 100000\n49267 73988\n96314 100000\n24202 36401\n69213 100000\n42051 63157\n70104 100000\n93251 100000\n77473 100000\n41922 62974\n2809 4241\n1239 1867\n94763 100000\n68060 100000\n74395 100000\n19242 28943\n51335 77063\n48233 72438\n23541 35401\n98642 100000\n87835 100000\n85421 100000\n59299 89025\n76554 100000\n57644 86515\n54314 81535\n24494 36836\n18796 28284\n35478 53331\n41794 62777\n90117 100000\n84569 100000\n61602 92463\n10017 15080\n88831 100000\n38115 57299\n4286 6433\n41123 61766\n58971 88523\n38906 58494\n29684 44610\n85472 100000\n55611 83468\n33921 51009\n96549 100000\n29643 44547\n73811 100000\n46163 69311\n89058 100000\n90821 100000\n60154 90294\n23109 34753\n31836 47873\n52994 79547\n90450 100000\n18791 28277\n44621 66979\n87207 100000\n12567 18929\n52417 78697\n47464 71255\n15326 23046\n78336 100000\n87838 100000\n13671 20577\n57111 85716\n60667 91067\n16998 25556\n1186 1792\n19853 29860\n69356 100000\n26723 40151\n26203 39380\n33639 50586\n80207 100000\n92347 100000\n40826 61326\n93946 100000\n8038 12111\n33879 50945\n27583 41454\n30355 45610\n24873 37404\n13953 21014\n27289 41010\n23810 35824\n47571 71410\n83064 100000\n23884 35940\n2247 3394\n97007 100000\n91960 100000\n74314 100000\n31310 47078\n13132 19775\n145 217\n54141 81265\n81749 100000\n89985 100000\n28986 43561\n2239 3382\n44489 66780\n99942 100000\n36798 55328\n9815 14776\n93153 100000\n40697 61135\n72292 100000\n17367 26124\n94073 100000\n3111 4696\n99662 100000\n53404 80152\n84964 100000\n36166 54375\n99346 100000\n28459 42758\n68089 100000\n1841 2791\n8266 12457\n61396 92152\n13766 20722\n53204 79851\n67288 100000\n63924 95919\n64681 97043\n26539 39874\n62165 93307\n78468 100000\n2683 4051\n21115 31763\n28157 42305\n77061 100000\n40811 61304\n22608 34006\n70209 100000\n31249 46987\n17939 26993\n84003 100000\n17103 25714\n89611 100000\n15534 23350\n1414 2130\n36674 55151\n16709 25124\n9249 13934\n20244 30457\n1956 2954\n71868 100000\n62886 94395\n42180 63348\n23072 34695\n35852 53893\n4495 6743\n30847 46365\n29315 44057\n30970 46559\n78137 100000\n55655 83532\n30061 45165\n33391 50214\n86887 100000\n13282 20000\n35833 53866\n63426 95192\n79641 100000\n88820 100000\n70914 100000\n21877 32911\n77087 100000\n99138 100000\n80257 100000\n59699 89619\n58550 87884\n30050 45148\n37109 55803\n77405 100000\n98961 100000\n3160 4768\n10723 16150\n27968 42032\n4319 6477\n64238 96380\n79829 100000\n56782 85212\n89900 100000\n10302 15524\n8223 12394\n70309 100000\n91685 100000\n43573 65438\n6771 10186\n99765 100000\n27867 41878\n2746 4150\n2730 4128\n31039 46664\n17155 25795\n64831 97267\n22589 33973\n8013 12074\n74081 100000\n11992 18083\n85170 100000\n96317 100000\n82041 100000\n63297 94998\n29882 44904\n84786 100000\n34391 51709\n80993 100000\n87782 100000\n68859 100000\n34825 52366\n41651 62568\n3983 5983\n27887 41906\n299 447\n99188 100000\n65560 98336\n62684 94089\n88597 100000\n26913 40442\n48980 73551\n5891 8844\n76251 100000\n13733 20669\n81379 100000\n43181 64840\n23286 35012\n78206 100000\n32869 49446\n8894 13394\n13237 19929\n86933 100000\n40447 60755\n9767 14709\n77661 100000\n89947 100000\n55821 83789\n23848 35883\n18703 28140\n71964 100000\n78968 100000\n74507 100000\n32640 49105\n8430 12709\n81173 100000\n92175 100000\n13497 20317\n64605 96930\n10388 15655\n74603 100000\n60686 91094\n2824 4263\n89104 100000\n12916 19457\n28108 42232\n37105 55798\n27929 41970\n37438 56295\n14674 22095\n98286 100000\n81280 100000\n18224 27426\n64988 97489\n40558 60921\n45331 68061\n20822 31334\n38138 57334\n63516 95320\n81513 100000\n60503 90815\n11235 16921\n6594 9911\n36376 54706\n94751 100000\n43843 65846\n17098 25708\n51431 77205\n93527 100000\n14173 21335\n55672 83560\n85969 100000\n1353 2039\n10988 16544\n11089 16694\n74105 100000\n86065 100000\n50356 75603\n17960 27021\n86316 100000\n48293 72532\n56945 85461\n60823 91306\n11993 18084\n77632 100000\n7169 10803\n52430 78715\n75553 100000\n85222 100000\n95861 100000\n98032 100000\n4590 6888\n69382 100000\n73098 100000\n36995 55636\n26518 39845\n3175 4791\n21529 32373\n92158 100000\n82763 100000\n28530 42871\n81660 100000\n29424 44224\n34471 51826\n23224 34924\n69651 100000\n10662 16054\n31331 47114\n39866 59892\n93329 100000\n63753 95668\n56010 84072\n3802 5708\n13408 20188\n61077 91690\n95023 100000\n75680 100000\n11572 17440\n37036 55696\n15511 23319\n43700 65629\n88157 100000\n3392 5106\n67418 100000\n35810 53831\n77906 100000\n37336 56145\n18143 27305\n183 271\n72937 100000\n82049 100000\n66569 99869\n91795 100000\n31520 47399\n73518 100000\n55572 83413\n50138 75275\n49258 73976\n81482 100000\n71956 100000\n17342 26087\n79498 100000\n94053 100000\n39272 59027\n82258 100000\n2477 3746\n19003 28596\n42047 63151\n97517 100000\n18044 27155\n21435 32245\n95481 100000\n11674 17600\n80037 100000\n20858 31388\n17830 26826\n19381 29152\n8725 13140\n54065 81141\n88221 100000\n35933 54014\n13096 19725\n36649 55113\n26302 39525\n20326 30583\n24254 36479\n5605 8415\n22149 33321\n22257 33482\n22227 33434\n54325 81550\n21675 32604\n27439 41244\n45966 69012\n22333 33595\n73229 100000\n69962 100000\n10767 16214\n92787 100000\n96624 100000\n57736 86658\n94728 100000\n21060 31685\n24184 36373\n60179 90328\n2213 3341\n23308 35047\n12562 18920\n47162 70798\n73250 100000\n4336 6506\n77612 100000\n71692 100000\n87810 100000\n48206 72396\n2894 4372\n74937 100000\n73810 100000\n54232 81399\n70175 100000\n66047 99077\n75773 100000\n42469 63785\n49359 74123\n71266 100000\n98154 100000\n94167 100000\n77464 100000\n81784 100000\n2069 3118\n20949 31526\n2620 3960\n60620 90992\n9199 13854\n63211 94877\n35867 53914\n46497 69817\n30315 45549\n56007 84067\n41286 62008\n72391 100000\n37287 56073\n71484 100000\n44599 66948\n17411 26191\n67017 100000\n21957 33032\n51626 77489\n47106 70712\n97022 100000\n54108 81213\n79571 100000\n1345 2027\n13369 20135\n44701 67097\n6258 9393\n76977 100000\n23763 35750\n38470 57843\n70971 100000\n54652 82023\n91056 100000\n33941 51039\n77023 100000\n74688 100000\n56778 85207\n37554 56472\n45904 68921\n7567 11406\n21914 32967\n45976 69028\n47730 71657\n48686 73124\n15296 23005\n6047 9077\n53073 79658\n41806 62797\n48848 73360\n84 123\n60301 90513\n87300 100000\n60563 90903\n41231 61926\n26169 39327\n52661 79054\n78268 100000\n27964 42026\n33782 50800\n58291 87497\n43053 64652\n18828 28332\n34474 51829\n9851 14825\n69390 100000\n77518 100000\n7835 11805\n39693 59650\n66584 99891\n49190 73871\n45572 68420\n82284 100000\n31319 47091\n98559 100000\n69672 100000\n10117 15238\n22458 33781\n10947 16487\n36667 55143\n84123 100000\n21911 32962\n15041 22643\n54126 81241\n12556 18910\n30879 46414\n30281 45501\n90160 100000\n48757 73230\n86328 100000\n60901 91425\n18004 27090\n30655 46072\n48195 72381\n16830 25300\n63125 94752\n80057 100000\n73260 100000\n65579 98367\n84878 100000\n39033 58686\n23056 34669\n54029 81091\n83752 100000\n36568 54990\n29182 43853\n22609 34008\n7397 11141\n90810 100000\n65538 98307\n68634 100000\n39546 59432\n80999 100000\n48333 72594\n53099 79696\n72745 100000\n3097 4674\n42960 64521\n70228 100000\n68106 100000\n68481 100000\n33574 50489\n78383 100000\n98972 100000\n75005 100000\n92727 100000\n53842 80813\n57795 86743\n38500 57889\n84351 100000\n45773 68717\n71148 100000\n38682 58155\n2960 4467\n84211 100000\n60968 91529\n34901 52480\n1699 2571\n37236 55995\n21765 32740\n33230 49983\n86743 100000\n44304 66519\n4609 6914\n79533 100000\n48772 73250\n11132 16763\n6914 10404\n21105 31748\n84114 100000\n10248 15436\n3023 4563\n38637 58093\n773 1173\n2222 3353\n45974 69025\n60680 91084\n44892 67385\n81171 100000\n89112 100000\n67561 100000\n34057 51217\n70180 100000\n90678 100000\n42794 64277\n26127 39264\n60710 91129\n41322 62061\n8246 12432\n19845 29849\n48629 73038\n18147 27312\n88803 100000\n83486 100000\n20761 31241\n82778 100000\n43613 65500\n95154 100000\n62837 94322\n98685 100000\n40533 60878\n55170 82808\n20954 31534\n4913 7374\n98513 100000\n97185 100000\n50860 76343\n78069 100000\n23861 35903\n62034 93111\n8532 12861\n43499 65326\n77571 100000\n12152 18318\n65546 98320\n41077 61696\n72489 100000\n13651 20550\n71519 100000\n40650 61064\n32902 49495\n46104 69219\n22405 33696\n29437 44240\n15970 23997\n42128 63266\n47575 71416\n37010 55658\n92282 100000\n4891 7340\n93431 100000\n91152 100000\n30874 46407\n61481 92287\n94746 100000\n46197 69362\n39293 59058\n28570 42932\n86995 100000\n14453 21767\n63891 95869\n75438 100000\n88541 100000\n29517 44357\n80678 100000\n27202 40877\n77993 100000\n46369 69626\n97483 100000\n30576 45954\n77118 100000\n56252 84430\n67633 100000\n38563 57986\n93314 100000\n29977 45043\n5965 8956\n88665 100000\n65413 98116\n72064 100000\n30676 46110\n39236 58972\n2189 3304\n55776 83719\n55759 83693\n47924 71956\n28138 42274\n97023 100000\n42041 63143\n34954 52553\n47085 70683\n17180 25829\n4535 6803\n84452 100000\n75539 100000\n54573 81909\n97294 100000\n21638 32550\n42107 63238\n17947 27005\n67311 100000\n94176 100000\n40345 60605\n30517 45863\n71720 100000\n51380 77130\n76833 100000\n66721 100000\n89560 100000\n79604 100000\n18167 27339\n38872 58443\n81472 100000\n33530 50423\n81750 100000\n46867 70375\n22402 33692\n25538 38387\n7583 11432\n13194 19870\n21327 32085\n42348 63605\n84688 100000\n43240 64932\n99495 100000\n74640 100000\n34410 51735\n88274 100000\n79184 100000\n2290 3459\n97479 100000\n82567 100000\n78142 100000\n58703 88117\n50365 75614\n98056 100000\n40415 60707\n64793 97213\n82508 100000\n57758 86688\n20591 30987\n17914 26955\n23781 35778\n4978 7469\n99143 100000\n58149 87279\n85085 100000\n54987 82529\n88687 100000\n3678 5516\n223 331\n4245 6367\n97339 100000\n58571 87920\n16911 25428\n39681 59631\n67542 100000\n33589 50511\n54814 82272\n76846 100000\n70555 100000\n9901 14903\n89734 100000\n16903 25413\n68385 100000\n62347 93576\n66550 99840\n26827 40316\n32039 48177\n81006 100000\n26420 39704\n49738 74684\n2445 3696\n1813 2751\n38352 57667\n42837 64338\n70169 100000\n77242 100000\n91761 100000\n77010 100000\n30225 45416\n58888 88402\n16480 24773\n89592 100000\n11484 17307\n28291 42504\n23471 35296\n38947 58558\n79081 100000\n54451 81726\n17815 26804\n31782 47793\n77561 100000\n38644 58101\n3013 4547\n44123 66261\n84708 100000\n66473 99726\n6501 9774\n23983 36080\n13822 20812\n19903 29935\n97238 100000\n2327 3514\n13121 19758\n49272 73995\n30035 45127\n79840 100000\n33661 50617\n48801 73290\n33686 50655\n11417 17193\n65182 97781\n24779 37265\n33561 50469\n52829 79297\n64589 96904\n55490 83285\n73558 100000\n4976 7466\n22883 34417\n86657 100000\n16966 25513\n53290 79976\n23831 35858\n89440 100000\n20415 30720\n40155 60328\n14000 21080\n98020 100000\n21908 32956\n21271 32002\n12778 19246\n36131 54319\n52587 78945\n86591 100000\n81840 100000\n33816 50851\n53292 79979\n11507 17341\n13424 20212\n91365 100000\n29599 44484\n99602 100000\n91082 100000\n56365 84593\n17301 26019\n82278 100000\n6856 10315\n96629 100000\n76211 100000\n95798 100000\n65158 97745\n85590 100000\n34418 51746\n77245 100000\n70633 100000\n63284 94981\n25533 38379\n38911 58500\n26826 40314\n16658 25047\n30641 46053\n61445 92231\n60408 90673\n8742 13164\n94850 100000\n67101 100000\n50871 76357\n47855 71841\n12518 18856\n98553 100000\n54389 81636\n49874 74893\n10927 16455\n94490 100000\n7606 11468\n46757 70195\n75508 100000\n81673 100000\n64237 96378\n21835 32846\n14799 22285\n89249 100000\n55767 83705\n28123 42253\n12023 18129\n2159 3257\n23183 34863\n25580 38450\n19500 29326\n41267 61980\n82741 100000\n8344 12576\n8008 12067\n13886 20910\n76116 100000\n59113 88737\n58820 88301\n64611 96939\n78489 100000\n57114 85720\n91505 100000\n95765 100000\n61118 91748\n77121 100000\n20318 30572\n80076 100000\n16289 24493\n85930 100000\n79881 100000\n95080 100000\n16125 24246\n75065 100000\n51029 76596\n55620 83484\n53517 80316\n34409 51734\n76353 100000\n25332 38085\n44921 67434\n43118 64746\n31180 46880\n18403 27691\n80048 100000\n81499 100000\n77461 100000\n56186 84330\n27693 41622\n4007 6020\n67365 100000\n2757 4163\n59630 89512\n60569 90912\n19393 29170\n65960 98942\n80275 100000\n61973 93017\n85752 100000\n59540 89380\n81079 100000\n69162 100000\n87413 100000\n1082 1637\n54769 82204\n61676 92576\n6692 10062\n97170 100000\n61612 92477\n4235 6351\n86103 100000\n94139 100000\n86430 100000\n89697 100000\n91597 100000\n55355 83084\n65857 98785\n50790 76240\n37277 56055\n48181 72357\n86748 100000\n47986 72053\n99528 100000\n82637 100000\n79551 100000\n21701 32645\n60005 90075\n7999 12056\n25382 38160\n10683 16086\n46580 69938\n47293 70994\n22217 33419\n18305 27544\n83533 100000\n24904 37451\n39093 58773\n28972 43541\n69821 100000\n18394 27677\n50911 76418\n22743 34204\n81005 100000\n7383 11121\n23058 34673\n30546 45910\n96135 100000\n11858 17881\n92918 100000\n97717 100000\n25726 38672\n43860 65872\n93718 100000\n26735 40171\n37398 56235\n30876 46410\n41931 62985\n14361 21629\n63107 94728\n64076 96143\n88433 100000\n44260 66451\n61609 92472\n39666 59609\n62274 93470\n85297 100000\n52919 79434\n10340 15583\n80028 100000\n14385 21665\n2460 3718\n82937 100000\n89116 100000\n12615 18998\n63136 94768\n70850 100000\n42316 63556\n80471 100000\n13019 19612\n64488 96752\n360 541\n8281 12483\n98814 100000\n88598 100000\n67530 100000\n97286 100000\n71191 100000\n26190 39360\n79543 100000\n21230 31938\n49032 73630\n98331 100000\n21874 32906\n90838 100000\n27682 41602\n57458 86232\n12810 19294\n30514 45858\n20169 30340\n3890 5837\n50079 75192\n37996 57125\n62785 94243\n30780 46264\n15595 23445\n86712 100000\n35672 53620\n28074 42181\n99968 100000\n61884 92887\n39005 58648\n23237 34942\n74205 100000\n44587 66929\n62214 93379\n25474 38299\n90250 100000\n79400 100000\n99423 100000\n63661 95540\n7507 11314\n62435 93712\n39527 59404\n15062 22676\n82572 100000\n44869 67349\n14901 22432\n61285 91996\n18441 27751\n22635 34046\n82935 100000\n6589 9904\n51311 77027\n64398 96614\n66437 99672\n74609 100000\n16874 25367\n77014 100000\n76757 100000\n49314 74055\n5884 8834\n19196 28878\n2409 3642\n90972 100000\n39990 60079\n67614 100000\n28579 42947\n76314 100000\n53112 79714\n58095 87199\n82689 100000\n69155 100000\n7188 10832\n99309 100000\n32780 49311\n54188 81335\n11000 16561\n58486 87788\n29419 44214\n15822 23777\n67936 100000\n55314 83025\n79617 100000\n78908 100000\n81729 100000\n17952 27012\n49331 74082\n4545 6818\n66924 100000\n88347 100000\n47594 71443\n51609 77464\n73272 100000\n5731 8599\n43736 65683\n59792 89757\n92542 100000\n8974 13518\n45361 68108\n45342 68076\n10305 15528\n51422 77192\n76772 100000\n50989 76536\n20950 31527\n73560 100000\n75669 100000\n17764 26726\n28196 42359\n83629 100000\n88371 100000\n93788 100000\n99190 100000\n74635 100000\n13846 20850\n45875 68876\n95684 100000\n21164 31838\n87589 100000\n59122 88749\n48571 72955\n15832 23792\n17740 26688\n59607 89476\n32816 49369\n81427 100000\n23755 35739\n77421 100000\n25034 37644\n53831 80793\n72702 100000\n56906 85403\n29111 43747\n80953 100000\n69506 100000\n14213 21399\n24480 36813\n31134 46810\n82309 100000\n80972 100000\n60701 91117\n54417 81675\n13033 19631\n94851 100000\n21415 32212\n27046 40641\n83893 100000\n39947 60014\n84453 100000\n57519 86322\n91683 100000\n86159 100000\n41811 62803\n17311 26035\n7553 11386\n1143 1729\n33253 50019\n21135 31793\n20064 30184\n8214 12379\n90616 100000\n40059 60180\n39694 59652\n23700 35655\n18309 27550\n77842 100000\n45803 68764\n6871 10337\n36243 54502\n13607 20481\n18539 27891\n92048 100000\n46131 69256\n66427 99658\n99766 100000\n55116 82724\n65778 98663\n25266 37988\n69339 100000\n56779 85208\n92240 100000\n46137 69266\n88620 100000\n41299 62027\n88600 100000\n98652 100000\n30765 46243\n88082 100000\n55846 83824\n26875 40387\n20417 30722\n55669 83556\n68040 100000\n73936 100000\n44195 66363\n90796 100000\n87676 100000\n18201 27390\n18619 28008\n69482 100000\n97246 100000\n15035 22634\n60482 90783\n73263 100000\n97051 100000\n82201 100000\n94793 100000\n18525 27875\n64230 96368\n50920 76433\n2404 3636\n3751 5628\n92909 100000\n48253 72467\n58020 87082\n77249 100000\n75036 100000\n55019 82574\n76277 100000\n47502 71310\n20291 30528\n3494 5245\n91696 100000\n12865 19379\n36372 54700\n31143 46824\n23367 35141\n307 459\n42033 63131\n96410 100000\n40076 60207\n57313 86015\n95139 100000\n28730 43172\n83931 100000\n42347 63604\n90662 100000\n49011 73596\n13558 20409\n1195 1805\n4004 6015\n91054 100000\n95809 100000\n257 384\n15430 23199\n20225 30423\n12958 19519\n66496 99758\n21253 31974\n43298 65022\n23688 35636\n38497 57885\n66448 99689\n44556 66882\n24464 36787\n93060 100000\n22339 33603\n88454 100000\n1422 2142\n67700 100000\n22801 34289\n31352 47142\n55349 83073\n50886 76380\n92195 100000\n90502 100000\n12815 19301\n32768 49293\n10283 15494\n31038 46663\n33549 50452\n83170 100000\n47204 70860\n5665 8498\n3910 5867\n26799 40269\n79613 100000\n95016 100000\n28554 42908\n89788 100000\n20386 30675\n13917 20956\n30873 46405\n19386 29161\n12330 18580\n59837 89823\n27234 40926\n20774 31258\n33719 50707\n64949 97433\n98188 100000\n5024 7543\n98054 100000\n59795 89762\n43492 65315\n25298 38036\n81578 100000\n98238 100000\n81448 100000\n76173 100000\n78921 100000\n88317 100000\n26266 39473\n93289 100000\n72911 100000\n60067 90165\n80305 100000\n3293 4959\n3374 5081\n55029 82590\n30167 45330\n7265 10946\n25886 38910\n27105 40734\n85626 100000\n24634 37049\n84686 100000\n88825 100000\n74456 100000\n63445 95213\n49444 74245\n72276 100000\n68332 100000\n53823 80782\n62098 93205\n61083 91699\n62650 94036\n40303 60538\n8230 12406\n96610 100000\n25035 37645\n29324 44070\n38616 58062\n41641 62553\n83087 100000\n26025 39111\n39013 58659\n48668 73094\n16811 25272\n39251 58996\n17568 26426\n93547 100000\n33332 50131\n85709 100000\n30672 46102\n88411 100000\n16988 25542\n94573 100000\n29801 44782\n78437 100000\n86381 100000\n56455 84721\n61233 91920\n17141 25774\n30426 45720\n57444 86209\n49844 74842\n81099 100000\n49557 74419\n88980 100000\n18445 27757\n76968 100000\n48337 72599\n63733 95639\n66303 99468\n63687 95576\n76627 100000\n99474 100000\n92815 100000\n22991 34574\n9505 14320\n58595 87956\n12411 18702\n71214 100000\n65269 97910\n87310 100000\n94443 100000\n66836 100000\n44476 66764\n37472 56347\n15210 22881\n12809 19292\n31745 47742\n57771 86706\n92036 100000\n32246 48506\n76227 100000\n35527 53405\n37972 57087\n43565 65425\n69979 100000\n83633 100000\n25949 39003\n58293 87501\n72529 100000\n27048 40645\n91048 100000\n52356 78600\n7674 11569\n66379 99585\n97675 100000\n56663 85020\n33978 51098\n11228 16909\n51536 77357\n54564 81896\n61013 91594\n15098 22729\n30868 46398\n10839 16319\n86562 100000\n34551 51936\n71859 100000\n98078 100000\n89497 100000\n94394 100000\n15179 22838\n78455 100000\n98743 100000\n64229 96366\n94919 100000\n86224 100000\n44836 67300\n17598 26473\n75358 100000\n59082 88693\n17772 26738\n16994 25552\n13454 20258\n60142 90280\n4067 6111\n38311 57601\n11747 17717\n1131 1710\n15307 23019\n33282 50058\n86570 100000\n23540 35400\n28274 42479\n43952 66006\n16965 25511\n97183 100000\n52972 79514\n58680 88081\n14421 21719\n26521 39848\n39455 59299\n5736 8607\n58614 87982\n81581 100000\n64757 97154\n80125 100000\n22396 33684\n80461 100000\n18749 28212\n13692 20607\n82414 100000\n32868 49445\n59107 88727\n98587 100000\n41845 62858\n15961 23982\n76525 100000\n1016 1538\n90102 100000\n98160 100000\n43174 64831\n22617 34020\n422 634\n20948 31525\n69218 100000\n25879 38902\n99715 100000\n74682 100000\n64888 97353\n11809 17810\n60426 90700\n71644 100000\n41075 61692\n99534 100000\n58147 87275\n3817 5729\n43608 65494\n29558 44421\n96169 100000\n92549 100000\n35657 53596\n11623 17522\n81431 100000\n48607 73007\n32006 48130\n86633 100000\n11579 17451\n25763 38728\n36685 55166\n34585 51989\n53007 79562\n19780 29746\n16338 24565\n72400 100000\n69381 100000\n82538 100000\n14605 21993\n56341 84557\n85822 100000\n93064 100000\n96219 100000\n24653 37079\n60100 90216\n48319 72574\n78646 100000\n24458 36776\n7098 10696\n92257 100000\n84971 100000\n15421 23187\n80245 100000\n20438 30754\n42694 64130\n11415 17191\n60269 90468\n92133 100000\n82141 100000\n92335 100000\n52107 78224\n43525 65364\n30660 46079\n14891 22420\n1398 2107\n3556 5334\n22811 34305\n58038 87109\n16596 24952\n82911 100000\n12777 19245\n86053 100000\n21235 31946\n37579 56508\n6588 9903\n8952 13485\n22915 34460\n48430 72740\n70827 100000\n87877 100000\n61994 93046\n23790 35792\n89996 100000\n42209 63390\n80711 100000\n23570 35451\n34016 51159\n74069 100000\n37515 56414\n4793 7192\n13941 20996\n7360 11088\n40662 61082\n16691 25098\n13189 19862\n31052 46683\n85569 100000\n98500 100000\n42365 63630\n84694 100000\n21485 32312\n98244 100000\n86122 100000\n95624 100000\n472 713\n38675 58147\n53922 80933\n90273 100000\n20676 31111\n22281 33520\n77171 100000\n31117 46784\n79487 100000\n10012 15073\n52597 78960\n24446 36758\n19963 30027\n72987 100000\n32474 48845\n62436 93713\n70876 100000\n36519 54919\n84230 100000\n98342 100000\n65580 98369\n54168 81304\n83282 100000\n91130 100000\n98180 100000\n48724 73187\n4833 7256\n82992 100000\n35463 53309\n17026 25600\n92525 100000\n26100 39224\n50835 76306\n35986 54092\n95610 100000\n69706 100000\n65354 98030\n79609 100000\n46401 69671\n30157 45312\n72182 100000\n5655 8485\n60320 90545\n46890 70409\n48362 72633\n48168 72340\n43286 65000\n46181 69338\n55516 83325\n30768 46248\n42680 64109\n20227 30427\n80454 100000\n5747 8622\n39406 59230\n42631 64037\n5272 7924\n15900 23900\n67203 100000\n33922 51011\n151 225\n41216 61901\n25562 38421\n83554 100000\n91673 100000\n80205 100000\n22647 34064\n27395 41172\n16978 25531\n26935 40472\n42963 64525\n53374 80106\n96810 100000\n67331 100000\n79097 100000\n89964 100000\n480 723\n32992 49634\n76098 100000\n76990 100000\n82366 100000\n5365 8062\n72239 100000\n98121 100000\n98279 100000\n15499 23302\n12405 18693\n5384 8090\n61142 91782\n82781 100000\n59535 89374\n32364 48682\n95400 100000\n63486 95273\n191 282\n83797 100000\n17460 26260\n42900 64432\n93863 100000\n7761 11705\n81868 100000\n29264 43977\n62112 93226\n60856 91358\n9031 13601\n18672 28094\n2416 3651\n27123 40761\n25894 38924\n99825 100000\n85322 100000\n25966 39027\n32119 48299\n21645 32560\n55602 83455\n3395 5110\n69270 100000\n3065 4623\n37776 56801\n19319 29059\n63563 95396\n56829 85286\n87826 100000\n64483 96744\n24747 37219\n71026 100000\n10682 16084\n74626 100000\n48200 72389\n90397 100000\n52186 78340\n43666 65580\n76620 100000\n76422 100000\n2447 3699\n19056 28676\n85869 100000\n67286 100000\n64968 97463\n98665 100000\n32247 48508\n66629 99959\n2006 3027\n20314 30566\n89634 100000\n75811 100000\n30892 46432\n51075 76669\n13323 20065\n64622 96952\n12835 19333\n18710 28150\n70403 100000\n39512 59381\n43842 65844\n14211 21396\n33813 50845\n7043 10609\n55073 82653\n76077 100000\n52740 79167\n41635 62543\n67389 100000\n27685 41608\n71900 100000\n75659 100000\n95188 100000\n89948 100000\n34492 51854\n86986 100000\n52090 78197\n36408 54756\n95132 100000\n27735 41684\n84207 100000\n50513 75834\n41860 62880\n64137 96233\n58086 87184\n52548 78888\n82453 100000\n23229 34931\n35510 53376\n25216 37914\n27555 41409\n41965 63035\n8956 13491\n11466 17276\n78733 100000\n75135 100000\n99804 100000\n4059 6100\n2946 4445\n21534 32380\n65367 98049\n56395 84637\n40107 60255\n54422 81685\n41778 62750\n73656 100000\n27859 41867\n33017 49670\n88643 100000\n79397 100000\n70495 100000\n86831 100000\n65050 97577\n84841 100000\n39613 59531\n36550 54964\n96017 100000\n26361 39619\n41802 62791\n38402 57741\n11253 16948\n48535 72903\n8960 13498\n88011 100000\n60729 91155\n81354 100000\n42092 63216\n88352 100000\n29015 43603\n14559 21922\n47244 70920\n29160 43823\n11944 18012\n59658 89555\n41601 62487\n5078 7622\n12200 18383\n70653 100000\n13812 20792\n78337 100000\n10423 15711\n50242 75436\n45607 68473\n36346 54661\n8064 12150\n21405 32197\n17801 26780\n25488 38319\n21941 33006\n66859 100000\n82967 100000\n79329 100000\n35247 52982\n23622 35529\n58718 88140\n39400 59222\n92162 100000\n55027 82586\n34253 51510\n10546 15882\n39809 59810\n12617 19002\n28452 42750\n50490 75799\n65577 98364\n51417 77185\n25681 38604\n98811 100000\n32965 49593\n15751 23665\n73460 100000\n37149 55864\n71222 100000\n54224 81386\n80003 100000\n83767 100000\n71654 100000\n35536 53416\n12254 18462\n64231 96369\n23722 35690\n47996 72069\n91354 100000\n59353 89109\n64232 96371\n52227 78405\n83297 100000\n64130 96224\n79895 100000\n6980 10507\n71826 100000\n89672 100000\n30982 46577\n24020 36132\n27170 40827\n13885 20908\n59784 89747\n83 121\n16336 24561\n46424 69705\n27118 40752\n68726 100000\n61655 92548\n39577 59475\n91198 100000\n84899 100000\n79323 100000\n71089 100000\n209 311\n781 1185\n64929 97406\n55048 82616\n55071 82650\n45211 67872\n96440 100000\n61697 92608\n33146 49864\n31529 47413\n22754 34222\n64944 97427\n10049 15133\n10904 16418\n73083 100000\n99919 100000\n72170 100000\n68078 100000\n79705 100000\n55211 82868\n89587 100000\n34998 52617\n85896 100000\n80175 100000\n40169 60351\n19109 28749\n8615 12984\n71334 100000\n79347 100000\n27210 40891\n31379 47184\n73800 100000\n40218 60420\n85997 100000\n98217 100000\n47004 70569\n33703 50679\n98442 100000\n97647 100000\n88921 100000\n51465 77253\n18299 27537\n60507 90821\n64947 97430\n12581 18950\n27515 41352\n84642 100000\n27998 42073\n17513 26342\n7865 11849\n94021 100000\n12421 18719\n86678 100000\n2844 4295\n67250 100000\n24986 37569\n62558 93897\n80943 100000\n87754 100000\n42257 63463\n12900 19434\n13048 19653\n67292 100000\n24262 36489\n15251 22945\n43063 64667\n52897 79398\n33316 50105\n24108 36260\n84655 100000\n14121 21249\n47134 70754\n83384 100000\n2056 3098\n90686 100000\n47403 71163\n91327 100000\n93003 100000\n23887 35945\n87108 100000\n73194 100000\n48919 73462\n61937 92966\n74159 100000\n19282 29004\n19156 28818\n30414 45701\n77599 100000\n32587 49024\n66624 99951\n4732 7101\n86766 100000\n16078 24171\n84360 100000\n34401 51722\n91878 100000\n37979 57099\n39395 59216\n97156 100000\n37883 56963\n79008 100000\n74694 100000\n83516 100000\n58910 88433\n82503 100000\n1821 2762\n75041 100000\n52788 79236\n39295 59061\n97026 100000\n90623 100000\n83613 100000\n88096 100000\n29978 45044\n68633 100000\n60813 91291\n22667 34093\n42231 63425\n69622 100000\n20456 30781\n1528 2310\n87533 100000\n75727 100000\n79846 100000\n7232 10894\n65145 97724\n56902 85397\n92521 100000\n35364 53165\n37440 56299\n10799 16262\n43766 65730\n73362 100000\n3455 5189\n74501 100000\n39979 60062\n97767 100000\n17674 26584\n38130 57322\n51315 77033\n66678 100000\n80601 100000\n50887 76382\n82220 100000\n54291 81497\n4700 7053\n43303 65030\n40645 61057\n15767 23692\n53375 80108\n32940 49554\n32715 49213\n7924 11938\n47438 71215\n51657 77538\n89616 100000\n34797 52321\n69561 100000\n2361 3570\n31486 47348\n29072 43690\n63304 95007\n177 262\n74225 100000\n49916 74956\n95892 100000\n99194 100000\n58758 88202\n20738 31207\n66463 99712\n90826 100000\n12068 18198\n38854 58419\n64269 96427\n20418 30724\n95340 100000\n55783 83732\n30936 46502\n57463 86240\n33927 51018\n9654 14546\n7384 11123\n55105 82705\n65636 98453\n19241 28942\n63544 95364\n67719 100000\n89564 100000\n8874 13362\n57284 85973\n58424 87694\n44948 67477\n61718 92637\n19159 28823\n990 1498\n23946 36033\n72315 100000\n68851 100000\n71277 100000\n19128 28776\n52383 78645\n48112 72251\n19126 28774\n37083 55767\n70320 100000\n37331 56138\n93303 100000\n28700 43127\n67952 100000\n14943 22493\n89079 100000\n13721 20651\n2707 4088\n38903 58490\n53058 79637\n74777 100000\n65082 97627\n24297 36540\n75779 100000\n60178 90327\n54597 81944\n8524 12848\n34634 52062\n59383 89156\n84420 100000\n56855 85327\n97666 100000\n50956 76488\n83374 100000\n16205 24369\n84417 100000\n88418 100000\n7317 11022\n61391 92146\n43252 64950\n6408 9634\n46480 69793\n24748 37220\n65391 98084\n32049 48194\n15630 23494\n28082 42191\n46019 69096\n9747 14678\n54872 82353\n56563 84880\n79383 100000\n41788 62768\n10700 16113\n34457 51806\n96912 100000\n94261 100000\n80099 100000\n28511 42839\n99716 100000\n851 1292\n79401 100000\n69578 100000\n75429 100000\n60780 91236\n87833 100000\n94634 100000\n66649 99988\n47853 71838\n3632 5446\n17604 26483\n17240 25922\n89065 100000\n10599 15961\n47261 70946\n3074 4638\n65068 97607\n18490 27823\n67415 100000\n3476 5219\n13658 20560\n81302 100000\n22879 34410\n60211 90374\n18467 27790\n44179 66344\n28098 42216\n70417 100000\n94124 100000\n47953 72005\n86684 100000\n47425 71193\n70408 100000\n13374 20140\n31256 46999\n60706 91122\n49638 74544\n53327 80036\n80476 100000\n64361 96559\n99235 100000\n22642 34056\n80671 100000\n53803 80753\n65815 98722\n911 1383\n84120 100000\n18181 27358\n8501 12814\n44849 67318\n53666 80538\n62813 94289\n93544 100000\n25785 38760\n23030 34628\n76131 100000\n24802 37299\n51327 77053\n1420 2138\n32265 48537\n1808 2745\n54836 82303\n43693 65617\n80375 100000\n6901 10384\n74856 100000\n86621 100000\n48771 73248\n1230 1853\n31978 48089\n95169 100000\n7631 11503\n9011 13575\n77743 100000\n76439 100000\n48676 73108\n98377 100000\n8162 12297\n55094 82686\n6021 9037\n83420 100000\n25446 38261\n66719 100000\n64104 96181\n12101 18248\n11818 17821\n3872 5812\n73248 100000\n15267 22965\n94911 100000\n57965 86997\n9615 14484\n4003 6013\n73176 100000\n60831 91317\n76075 100000\n54048 81119\n91949 100000\n44928 67445\n57294 85988\n73706 100000\n40071 60197\n73591 100000\n40808 61300\n25036 37647\n55359 83090\n4944 7421\n17919 26962\n16097 24200\n49409 74197\n28200 42365\n30728 46192\n7654 11538\n4128 6195\n97430 100000\n64917 97391\n91906 100000\n11208 16877\n15144 22790\n61557 92400\n25531 38375\n19918 29953\n93705 100000\n13485 20301\n46631 70006\n89866 100000\n48837 73345\n72399 100000\n30279 45498\n93239 100000\n5310 7985\n55627 83492\n16261 24452\n80016 100000\n58599 87963\n47485 71287\n88079 100000\n2265 3424\n11180 16835\n40770 61241\n19722 29660\n32192 48419\n73246 100000\n21812 32812\n33728 50720\n36910 55505\n5188 7793\n55981 84027\n97574 100000\n93382 100000\n29997 45074\n38931 58533\n57891 86886\n49421 74214\n86269 100000\n77200 100000\n81820 100000\n45710 68622\n6563 9863\n26327 39565\n46128 69253\n28050 42144\n30635 46045\n35158 52848\n82623 100000\n96775 100000\n65603 98404\n2853 4311\n65563 98341\n321 481\n38656 58119\n83274 100000\n52638 79019\n81029 100000\n67359 100000\n14870 22388\n91729 100000\n56907 85404\n28674 43089\n32919 49522\n69229 100000\n11218 16892\n81983 100000\n15011 22598\n60538 90865\n52436 78725\n75397 100000\n89980 100000\n99226 100000\n41022 61615\n57196 85845\n55565 83403\n35129 52807\n93695 100000\n61904 92918\n81353 100000\n84112 100000\n24241 36460\n53774 80705\n15049 22656\n79489 100000\n56857 85331\n11349 17089\n40244 60457\n96189 100000\n9288 13994\n80367 100000\n46671 70069\n56984 85517\n93408 100000\n93587 100000\n89333 100000\n88950 100000\n22579 33961\n36347 54663\n61109 91735\n85529 100000\n42603 63997\n707 1076\n38239 57492\n33015 49667\n75278 100000\n80124 100000\n52602 78967\n36370 54696\n90318 100000\n39035 58688\n91246 100000\n34439 51780\n65604 98406\n61761 92700\n83510 100000\n36264 54534\n13876 20895\n31957 48054\n7331 11044\n53690 80573\n1399 2108\n55510 83318\n18410 27701\n41892 62928\n43220 64897\n45415 68189\n46476 69788\n77304 100000\n71671 100000\n2502 3780\n30127 45267\n10686 16091\n91462 100000\n25205 37899\n16791 25246\n42819 64310\n98533 100000\n86317 100000\n30076 45189\n10265 15464\n74583 100000\n34073 51241\n93067 100000\n74099 100000\n42181 63349\n41139 61784\n27589 41463\n43341 65091\n65554 98329\n80472 100000\n53495 80286\n50942 76468\n91331 100000\n26924 40458\n48820 73317\n71952 100000\n63615 95470\n26540 39876\n25729 38677\n54811 82267\n53948 80971\n81064 100000\n6358 9552\n34877 52442\n88587 100000\n10649 16036\n3798 5700\n37708 56699\n41260 61971\n31852 47901\n21191 31881\n49999 75077\n32987 49625\n39116 58805\n3261 4917\n22187 33376\n11995 18087\n24720 37177\n93168 100000\n83616 100000\n52911 79420\n25530 38374\n67401 100000\n92660 100000\n23014 34606\n68302 100000\n12526 18869\n90076 100000\n98507 100000\n8037 12110\n23106 34748\n81603 100000\n67355 100000\n91257 100000\n9633 14510\n14304 21539\n77815 100000\n49073 73693\n60766 91215\n234 347\n26872 40383\n94483 100000\n85867 100000\n54201 81350\n7985 12032\n36465 54841\n49802 74782\n83792 100000\n5314 7992\n34745 52239\n81104 100000\n76184 100000\n23886 35943\n12989 19566\n74735 100000\n54708 82110\n61728 92651\n55573 83414\n95893 100000\n60992 91566\n8005 12063\n32915 49515\n74045 100000\n69897 100000\n72458 100000\n4131 6199\n38879 58453\n97235 100000\n50727 76152\n50621 75993\n11996 18088\n67839 100000\n67426 100000\n13982 21055\n92369 100000\n11622 17520\n17175 25823\n6749 10152\n81982 100000\n97795 100000\n76938 100000\n15684 23571\n9630 14505\n99219 100000\n46797 70260\n95818 100000\n29723 44675\n15648 23520\n5640 8465\n28206 42372\n66402 99619\n47158 70792\n21063 31690\n8052 12132\n45804 68766\n45523 68348\n13078 19698\n42356 63618\n3808 5719\n60340 90574\n48354 72623\n87051 100000\n29497 44327\n70340 100000\n21021 31628\n68600 100000\n85681 100000\n27154 40805\n13235 19926\n41460 62274\n64477 96733\n41800 62788\n54081 81167\n51279 76974\n97728 100000\n42252 63457\n10267 15467\n86370 100000\n33429 50273\n76412 100000\n26019 39100\n98921 100000\n52677 79078\n60010 90082\n85567 100000\n112 164\n66370 99570\n5382 8087\n25576 38443\n61817 92785\n86602 100000\n31770 47775\n80843 100000\n71892 100000\n22849 34362\n35469 53317\n68610 100000\n76007 100000\n86548 100000\n27433 41234\n93294 100000\n57149 85774\n71997 100000\n43796 65772\n33840 50891\n11596 17478\n73582 100000\n99263 100000\n48278 72506\n14294 21523\n93771 100000\n15205 22873\n49667 74583\n84066 100000\n29717 44664\n63736 95642\n14869 22387\n41037 61639\n63381 95120\n5999 9003\n61419 92188\n88532 100000\n94721 100000\n36125 54311\n60177 90326\n14964 22525\n69144 100000\n24304 36550\n75112 100000\n38661 58125\n41129 61774\n77584 100000\n34027 51176\n75838 100000\n26636 40015\n11050 16638\n42173 63337\n10079 15177\n15838 23803\n60942 91486\n43936 65980\n84689 100000\n22790 34272\n76907 100000\n47082 70679\n62478 93772\n42874 64392\n70058 100000\n44628 66990\n48701 73151\n12400 18685\n66151 99242\n81986 100000\n93715 100000\n42026 63121\n95914 100000\n73574 100000\n2978 4491\n70370 100000\n85433 100000\n2041 3078\n81129 100000\n11359 17105\n32160 48369\n57249 85922\n72411 100000\n17416 26197\n4863 7300\n63068 94667\n67321 100000\n46690 70096\n40151 60322\n74492 100000\n21391 32176\n87422 100000\n7568 11407\n72335 100000\n95199 100000\n52364 78614\n23492 35329\n71255 100000\n14476 21802\n84667 100000\n6458 9713\n34597 52007\n24760 37236\n31466 47318\n76404 100000\n53078 79664\n40775 61249\n55320 83033\n32148 48348\n71063 100000\n39088 58767\n24155 36335\n90023 100000\n31027 46645\n71966 100000\n43981 66048\n1615 2440\n43289 65006\n10238 15422\n21026 31634\n53963 80993\n77646 100000\n22132 33292\n80997 100000\n7034 10596\n17505 26328\n52326 78555\n65272 97915\n30975 46566\n7454 11230\n9356 14101\n47229 70900\n88427 100000\n85782 100000\n13829 20824\n76633 100000\n77950 100000\n54456 81734\n89659 100000\n23559 35432\n21059 31684\n88832 100000\n44697 67093\n16734 25160\n85229 100000\n79721 100000\n4498 6749\n1437 2166\n4509 6766\n41334 62080\n8179 12324\n79172 100000\n81860 100000\n1270 1915\n37729 56735\n12458 18773\n42419 63706\n1244 1874\n45586 68441\n13416 20199\n29486 44310\n5131 7700\n24263 36490\n56056 84142\n40853 61365\n71430 100000\n7220 10878\n96776 100000\n76209 100000\n91933 100000\n12892 19421\n95041 100000\n52512 78833\n82804 100000\n53632 80488\n7700 11608\n1171 1770\n55162 82796\n63268 94960\n98731 100000\n94074 100000\n16779 25227\n1549 2343\n41471 62292\n43579 65450\n96587 100000\n28131 42266\n41354 62110\n61008 91587\n58702 88115\n84540 100000\n44525 66833\n17785 26757\n58043 87116\n44840 67306\n5420 8146\n29067 43683\n25655 38566\n17334 26075\n23201 34887\n9732 14657\n92046 100000\n1184 1788\n90822 100000\n14969 22533\n86403 100000\n13211 19894\n25346 38106\n59706 89632\n37117 55816\n9841 14812\n38530 57939\n84771 100000\n50058 75163\n80766 100000\n41162 61820\n11546 17397\n18565 27929\n44131 66272\n99754 100000\n55717 83631\n98969 100000\n22343 33608\n79567 100000\n36396 54737\n43848 65854\n2782 4201\n99135 100000\n50111 75235\n78841 100000\n39730 59702\n17723 26662\n21625 32528\n42572 63942\n88199 100000\n15895 23892\n18168 27340\n31743 47739\n72427 100000\n23791 35793\n85163 100000\n76369 100000\n3691 5536\n33847 50899\n2085 3141\n66236 99369\n8078 12175\n29270 43987\n51487 77286\n37406 56248\n43120 64750\n1690 2557\n27297 41023\n45707 68618\n33732 50726\n93050 100000\n83031 100000\n196 290\n44950 67480\n9455 14248\n68245 100000\n30993 46593\n60044 90132\n77480 100000\n8677 13075\n14054 21156\n82870 100000\n35896 53958\n15812 23762\n72701 100000\n13205 19886\n28188 42350\n9796 14752\n72958 100000\n23966 36055\n49934 74981\n1327 2002\n49571 74440\n56841 85306\n62637 94016\n85559 100000\n86325 100000\n46375 69634\n13439 20235\n78445 100000\n98560 100000\n36960 55578\n67833 100000\n13098 19727\n55087 82677\n28328 42562\n85250 100000\n47782 71735\n80555 100000\n61172 91825\n80041 100000\n98653 100000\n16166 24308\n61281 91991\n27739 41690\n6185 9282\n61484 92292\n67999 100000\n6719 10108\n98049 100000\n61844 92827\n7657 11543\n44289 66497\n73437 100000\n59704 89629\n40318 60562\n25695 38625\n21111 31758\n35941 54025\n83660 100000\n60126 90256\n79061 100000\n15277 22977\n97462 100000\n56117 84226\n46426 69708\n7627 11497\n96289 100000\n35709 53677\n13460 20268\n42812 64301\n72188 100000\n74070 100000\n63460 95236\n65353 98029\n3310 4984\n45545 68380\n19996 30077\n4167 6255\n69850 100000\n17974 27045\n66075 99123\n12280 18504\n4899 7352\n19552 29403\n61735 92661\n57118 85726\n44292 66500\n74896 100000\n24198 36396\n92793 100000\n38875 58448\n34452 51799\n98878 100000\n32318 48616\n75944 100000\n63707 95604\n61898 92908\n81936 100000\n7059 10632\n41044 61648\n29069 43686\n37153 55869\n68476 100000\n37984 57107\n89247 100000\n40507 60842\n49510 74350\n36017 54142\n22113 33266\n35336 53121\n67765 100000\n45400 68165\n26323 39560\n62987 94541\n31297 47060\n97977 100000\n85939 100000\n2494 3768\n604 919\n69326 100000\n80265 100000\n32270 48545\n79190 100000\n26449 39747\n47524 71342\n31597 47520\n87581 100000\n13157 19817\n35235 52966\n86994 100000\n63040 94621\n43432 65229\n3339 5027\n9404 14171\n30891 46430\n97004 100000\n45263 67956\n5115 7676\n81938 100000\n59499 89323\n23985 36082\n74122 100000\n21623 32525\n25854 38862\n20739 31209\n51709 77617\n74337 100000\n64442 96680\n43490 65312\n33796 50820\n5603 8412\n76036 100000\n77847 100000\n30098 45223\n18599 27980\n81339 100000\n16748 25180\n73709 100000\n87193 100000\n416 626\n13802 20777\n52097 78208\n23643 35564\n9360 14108\n15366 23107\n43237 64928\n19536 29381\n15177 22836\n52089 78195\n94735 100000\n67693 100000\n60242 90422\n22575 33954\n2207 3332\n64464 96715\n9596 14453\n45822 68795\n17234 25914\n69090 100000\n17495 26312\n93094 100000\n13036 19636\n48900 73434\n28812 43299\n775 1176\n67452 100000\n70095 100000\n64752 97148\n18794 28281\n53883 80876\n19980 30056\n80134 100000\n8351 12587\n72633 100000\n64382 96590\n14859 22373\n51200 76854\n37638 56594\n47301 71006\n39690 59645\n420 632\n65454 98182\n77673 100000\n99457 100000\n73681 100000\n25309 38053\n46673 70072\n61851 92837\n17265 25961\n582 884\n98676 100000\n73328 100000\n38080 57242\n44827 67289\n31150 46835\n93404 100000\n69802 100000\n62963 94504\n76384 100000\n94415 100000\n82038 100000\n54010 81062\n83925 100000\n95603 100000\n35610 53529\n28525 42863\n71008 100000\n11160 16806\n67538 100000\n63595 95444\n42543 63898\n89208 100000\n44184 66350\n10359 15613\n11541 17390\n59104 88723\n88595 100000\n43934 65977\n81921 100000\n35809 53830\n92307 100000\n55384 83124\n4703 7057\n14398 21685\n84172 100000\n30106 45235\n49677 74597\n85760 100000\n87858 100000\n14954 22511\n79857 100000\n72664 100000\n39788 59779\n3366 5067\n76804 100000\n4507 6762\n70414 100000\n15240 22927\n11137 16771\n34958 52559\n75739 100000\n9569 14413\n51218 76879\n86270 100000\n73502 100000\n94472 100000\n66734 100000\n49047 73652\n99421 100000\n52142 78275\n96803 100000\n80308 100000\n12195 18377\n14414 21709\n75925 100000\n27592 41466\n4884 7329\n71716 100000\n4933 7404\n78130 100000\n37060 55728\n43342 65093\n70875 100000\n70661 100000\n12345 18604\n35497 53355\n31015 46626\n81700 100000\n76660 100000\n19045 28660\n18291 27525\n57625 86484\n24408 36704\n11772 17754\n86286 100000\n75039 100000\n13667 20572\n85031 100000\n58215 87373\n89252 100000\n43488 65310\n9423 14201\n19655 29553\n65925 98886\n51752 77679\n89013 100000\n86931 100000\n52648 79035\n94939 100000\n58391 87647\n41828 62827\n10144 15278\n52166 78310\n34161 51373\n67883 100000\n9600 14458\n60513 90829\n33665 50624\n19232 28929\n19950 30005\n96106 100000\n31668 47627\n34091 51268\n43339 65088\n68464 100000\n52796 79248\n62936 94466\n57682 86573\n36296 54584\n40922 61468\n99596 100000\n22708 34153\n2075 3126\n3303 4975\n88718 100000\n5673 8510\n1787 2713\n19133 28782\n41097 61728\n7763 11708\n31032 46654\n60018 90093\n26038 39128\n7886 11880\n72826 100000\n39553 59442\n35948 54038\n86815 100000\n96656 100000\n92247 100000\n55549 83378\n42967 64531\n61992 93043\n23180 34858\n57032 85595\n90505 100000\n9275 13974\n63057 94651\n99242 100000\n25903 38937\n57554 86377\n30129 45269\n38781 58310\n37170 55894\n56820 85273\n19178 28852\n26310 39538\n37477 56355\n19494 29318\n45789 68742\n6512 9790\n13805 20782\n14893 22423\n29343 44098\n7494 11295\n57530 86342\n77148 100000\n37147 55861\n98116 100000\n64732 97121\n19498 29322\n97765 100000\n62259 93450\n23734 35708\n55932 83952\n31349 47138\n23531 35388\n99600 100000\n25698 38630\n56249 84425\n42118 63254\n98589 100000\n91889 100000\n38855 58421\n24196 36392\n71400 100000\n67921 100000\n54457 81735\n90920 100000\n47997 72071\n13070 19686\n85193 100000\n47015 70586\n55788 83739\n25738 38691\n14323 21573\n65663 98495\n87172 100000\n87454 100000\n86544 100000\n85319 100000\n22148 33320\n84428 100000\n40841 61346\n43760 65720\n63898 95881\n18106 27250\n2014 3040\n61567 92414\n32783 49317\n23434 35241\n19915 29949\n88953 100000\n44125 66263\n54007 81059\n91397 100000\n40504 60838\n33929 51021\n13512 20338\n32918 49520\n23874 35926\n6810 10247\n36700 55187\n59731 89671\n98640 100000\n66359 99553\n43863 65876\n5111 7669\n64497 96763\n91258 100000\n65386 98077\n2172 3279\n21221 31924\n88366 100000\n62301 93511\n82303 100000\n63579 95421\n92345 100000\n3859 5795\n18527 27877\n72047 100000\n13751 20698\n59202 88869\n45339 68072\n14961 22521\n71939 100000\n28521 42856\n1178 1779\n6214 9323\n10268 15468\n81343 100000\n85821 100000\n71589 100000\n17401 26176\n79902 100000\n59929 89962\n4184 6278\n75992 100000\n55427 83189\n55873 83862\n14027 21118\n52732 79158\n24162 36345\n83836 100000\n41554 62419\n77712 100000\n18727 28178\n73970 100000\n93462 100000\n59496 89320\n45298 68010\n16321 24538\n57972 87009\n63559 95390\n70837 100000\n51894 77898\n35724 53701\n96005 100000\n3555 5333\n41981 63059\n33239 49995\n63100 94715\n81021 100000\n91352 100000\n42353 63614\n43167 64822\n62858 94352\n52221 78395\n62327 93548\n38756 58272\n94008 100000\n31181 46882\n92676 100000\n81327 100000\n58 86\n83747 100000\n13889 20915\n72046 100000\n22489 33826\n36254 54518\n60278 90480\n25350 38112\n31105 46764\n4440 6661\n42835 64335\n75307 100000\n29310 44050\n18625 28019\n67138 100000\n69965 100000\n36085 54252\n28682 43101\n32583 49017\n33973 51089\n19870 29885\n42450 63757\n96680 100000\n50605 75970\n90613 100000\n5718 8578\n48465 72795\n42751 64214\n72707 100000\n26339 39584\n31216 46937\n41014 61600\n20013 30106\n96067 100000\n75929 100000\n37365 56186\n82087 100000\n84622 100000\n94675 100000\n94546 100000\n1721 2606\n49160 73824\n5499 8260\n14058 21162\n73619 100000\n21864 32890\n70639 100000\n44817 67275\n94718 100000\n31263 47009\n33434 50280\n77735 100000\n62805 94275\n78297 100000\n34654 52096\n21644 32559\n93337 100000\n17130 25757\n38097 57267\n9367 14119\n47194 70846\n98734 100000\n58428 87700\n50889 76384\n36652 55118\n93010 100000\n19394 29172\n49274 73997\n18506 27846\n17636 26530\n88544 100000\n59671 89576\n10011 15071\n48882 73408\n87884 100000\n64377 96583\n72593 100000\n25422 38223\n10118 15239\n41232 61927\n9595 14451\n49091 73721\n1789 2716\n31707 47686\n97431 100000\n82477 100000\n635 966\n48366 72639\n64345 96537\n23442 35251\n70595 100000\n65879 98818\n3839 5761\n64634 96970\n32774 49303\n90673 100000\n85914 100000\n13334 20080\n66999 100000\n72927 100000\n34172 51390\n71594 100000\n29983 45053\n91893 100000\n4684 7027\n50231 75420\n58686 88091\n10614 15984\n66481 99735\n19473 29289\n36156 54358\n78154 100000\n47252 70932\n63287 94984\n19539 29386\n74293 100000\n98465 100000\n63772 95698\n91954 100000\n62953 94490\n64357 96554\n15525 23337\n33853 50907\n47450 71234\n2345 3546\n14228 21421\n88068 100000\n50034 75129\n98067 100000\n18065 27187\n57262 85940\n70036 100000\n7488 11287\n38793 58327\n29668 44585\n97841 100000\n5815 8728\n6547 9840\n18785 28268\n92923 100000\n55680 83574\n94201 100000\n36500 54892\n9957 14988\n49885 74910\n63581 95424\n69631 100000\n86599 100000\n21667 32590\n72555 100000\n74960 100000\n11973 18056\n97451 100000\n59646 89537\n8922 13437\n15738 23646\n80402 100000\n17126 25751\n41927 62980\n4838 7264\n60617 90987\n18629 28024\n45840 68822\n59558 89408\n727 1108\n67868 100000\n98432 100000\n1364 2056\n53353 80073\n15848 23818\n34849 52402\n95757 100000\n9845 14816\n1465 2208\n91747 100000\n79208 100000\n67787 100000\n45899 68914\n48214 72409\n46608 69974\n79304 100000\n7402 11148\n20382 30669\n66780 100000\n53546 80365\n61901 92914\n43297 65021\n27865 41875\n88167 100000\n89371 100000\n90630 100000\n4645 6970\n82505 100000\n93095 100000\n70428 100000\n6451 9704\n56974 85504\n66670 100000\n33871 50933\n68976 100000\n89458 100000\n73756 100000\n4517 6775\n51349 77084\n36386 54724\n41084 61708\n8893 13392\n89887 100000\n71599 100000\n86031 100000\n6212 9321\n31264 47010\n92770 100000\n97237 100000\n95723 100000\n5262 7906\n10539 15873\n90159 100000\n67818 100000\n89523 100000\n50821 76285\n79434 100000\n26699 40113\n41137 61782\n20479 30818\n91158 100000\n36786 55313\n74165 100000\n18570 27937\n59301 89028\n48053 72161\n76726 100000\n34231 51479\n15382 23127\n24270 36501\n23749 35731\n84780 100000\n81345 100000\n67216 100000\n47926 71960\n93258 100000\n14598 21983\n95371 100000\n33492 50364\n93821 100000\n62775 94229\n78003 100000\n61114 91742\n45815 68784\n70830 100000\n37454 56322\n72747 100000\n87700 100000\n12041 18156\n2923 4411\n93506 100000\n51432 77206\n6445 9694\n66158 99252\n46975 70525\n49566 74431\n74904 100000\n12747 19202\n55956 83989\n37760 56778\n5715 8574\n55648 83522\n3551 5327\n7380 11117\n85903 100000\n11492 17319\n98318 100000\n35732 53714\n95422 100000\n53982 81023\n64771 97176\n57339 86056\n76403 100000\n62201 93357\n85731 100000\n14195 21370\n90343 100000\n57477 86258\n28758 43211\n7119 10729\n97755 100000\n38444 57807\n58809 88284\n55807 83768\n93243 100000\n95653 100000\n87929 100000\n33103 49795\n13851 20859\n17191 25849\n16318 24534\n71162 100000\n39576 59474\n11821 17825\n92707 100000\n11099 16710\n44474 66760\n7271 10956\n84621 100000\n28309 42531\n74562 100000\n59964 90013\n27418 41211\n55138 82760\n55925 83940\n12771 19237\n83801 100000\n71017 100000\n19292 29018\n93206 100000\n60396 90655\n59350 89105\n9242 13920\n90767 100000\n97090 100000\n84451 100000\n33490 50362\n38909 58498\n41311 62046\n33700 50676\n85610 100000\n4315 6472\n69603 100000\n55060 82632\n98200 100000\n28355 42604\n99313 100000\n92670 100000\n84190 100000\n27731 41677\n56985 85519\n32596 49038\n48665 73089\n75543 100000\n19344 29093\n91799 100000\n57562 86388\n33593 50516\n60219 90386\n2319 3503\n19878 29897\n58081 87175\n61476 92281\n2383 3604\n80224 100000\n30435 45735\n39346 59141\n15167 22822\n37003 55648\n34926 52513\n60477 90776\n68244 100000\n65930 98893\n29073 43691\n2449 3702\n55285 82978\n84301 100000\n28473 42779\n81037 100000\n54289 81495\n17849 26853\n41269 61983\n47212 70872\n27411 41199\n78391 100000\n62942 94474\n16195 24353\n72162 100000\n16817 25281\n16534 24858\n76100 100000\n44708 67108\n6703 10079\n48597 72993\n9182 13827\n75890 100000\n56707 85087\n50925 76441\n56982 85515\n16369 24611\n68676 100000\n66224 99351\n23388 35175\n27958 42018\n61831 92806\n20333 30594\n40850 61360\n82738 100000\n20711 31165\n16130 24254\n66896 100000\n4789 7185\n67047 100000\n58668 88061\n34961 52564\n36129 54316\n57849 86822\n98578 100000\n11839 17852\n4389 6587\n88909 100000\n52883 79376\n37263 56036\n3999 6006\n29629 44524\n99039 100000\n16828 25298\n92746 100000\n48025 72112\n63072 94673\n11113 16733\n99750 100000\n97859 100000\n11753 17727\n43719 65654\n19368 29133\n31171 46867\n68665 100000\n31437 47274\n69025 100000\n18440 27749\n62593 93955\n90626 100000\n57321 86025\n21739 32700\n47886 71891\n53230 79888\n81973 100000\n84227 100000\n61250 91947\n37880 56959\n96348 100000\n80751 100000\n29447 44254\n81481 100000\n86710 100000\n3213 4849\n24585 36974\n14206 21388\n53928 80944\n28448 42745\n407 612\n64723 97107\n36585 55016\n89754 100000\n14591 21972\n5395 8105\n15148 22796\n62442 93722\n51140 76764\n89236 100000\n18088 27220\n84745 100000\n85855 100000\n37053 55718\n32616 49068\n93083 100000\n57269 85950\n68912 100000\n26764 40215\n89955 100000\n51887 77888\n89070 100000\n54254 81438\n55086 82675\n10897 16407\n34109 51295\n5966 8958\n73239 100000\n65201 97809\n84693 100000\n56870 85350\n74052 100000\n57813 86767\n22559 33928\n21837 32848\n90661 100000\n64444 96683\n21147 31811\n60456 90744\n71778 100000\n35669 53615\n14798 22284\n21826 32831\n94792 100000\n24854 37377\n18557 27915\n39138 58830\n81390 100000\n67420 100000\n7620 11486\n13973 21041\n31048 46677\n72284 100000\n19154 28814\n85273 100000\n22632 34040\n30431 45728\n40844 61350\n50313 75539\n1510 2281\n79973 100000\n53773 80703\n97244 100000\n57875 86860\n63008 94577\n43614 65502\n97880 100000\n70839 100000\n9882 14874\n72215 100000\n68768 100000\n33817 50853\n53082 79670\n47149 70777\n99286 100000\n47395 71151\n12493 18819\n51918 77936\n6676 10038\n24248 36469\n76703 100000\n95129 100000\n16972 25524\n44244 66428\n34244 51498\n77776 100000\n74041 100000\n920 1396\n25557 38414\n10514 15842\n42510 63849\n44227 66406\n17691 26612\n64960 97451\n9589 14442\n42505 63843\n76947 100000\n56231 84400\n28594 42970\n14539 21896\n66571 99873\n31878 47939\n2530 3821\n52318 78543\n38767 58288\n77145 100000\n59845 89835\n26798 40267\n28664 43074\n15339 23066\n81032 100000\n71810 100000\n37762 56780\n65975 98964\n12722 19159\n60858 91361\n89464 100000\n94308 100000\n87508 100000\n16752 25185\n45779 68727\n90342 100000\n76601 100000\n21705 32652\n45550 68388\n52867 79351\n50614 75984\n51754 77682\n56690 85062\n31433 47267\n49519 74364\n73682 100000\n85314 100000\n79884 100000\n57256 85933\n21172 31851\n5137 7709\n82194 100000\n58845 88338\n3922 5887\n88302 100000\n13616 20495\n28096 42212\n95567 100000\n77209 100000\n24798 37294\n32178 48399\n91947 100000\n38562 57984\n86387 100000\n56737 85141\n66367 99566\n885 1347\n12914 19455\n73925 100000\n70736 100000\n90910 100000\n78433 100000\n80004 100000\n26106 39233\n94365 100000\n89201 100000\n25026 37631\n33271 50043\n5952 8937\n6843 10295\n11256 16952\n96824 100000\n40915 61458\n50277 75485\n22147 33318\n80585 100000\n15134 22776\n12488 18812\n34342 51639\n63247 94930\n15774 23703\n64951 97437\n46344 69587\n15696 23589\n39740 59716\n79473 100000\n60148 90286\n65585 98374\n17181 25831\n28270 42474\n6602 9923\n2282 3447\n81412 100000\n5985 8982\n17339 26083\n94989 100000\n26315 39544\n11325 17052\n69225 100000\n36318 54618\n92297 100000\n66352 99542\n61267 91970\n54386 81632\n70450 100000\n56555 84867\n59953 89999\n88887 100000\n62597 93961\n13893 20920\n52461 78758\n78935 100000\n52931 79451\n98246 100000\n20424 30733\n77169 100000\n61843 92825\n33087 49773\n52093 78202\n29797 44777\n54476 81761\n70720 100000\n9402 14169\n15982 24019\n32080 48240\n90488 100000\n81956 100000\n21937 33000\n12124 18281\n43293 65014\n22020 33120\n13108 19741\n98245 100000\n2464 3723\n64954 97442\n46519 69849\n80750 100000\n86741 100000\n97322 100000\n92304 100000\n15793 23728\n67875 100000\n99947 100000\n54599 81947\n33227 49980\n79636 100000\n71595 100000\n73336 100000\n89882 100000\n93433 100000\n76923 100000\n40637 61046\n54622 81981\n51586 77431\n76530 100000\n88706 100000\n70670 100000\n34468 51821\n8222 12392\n37652 56617\n29095 43724\n95406 100000\n78511 100000\n18724 28173\n86037 100000\n34766 52273\n2187 3300\n95655 100000\n11931 17992\n14942 22491\n50107 75228\n94434 100000\n48515 72876\n75671 100000\n19634 29522\n67990 100000\n63777 95706\n60778 91233\n44316 66537\n6605 9927\n54549 81874\n53072 79656\n47804 71767\n22451 33768\n82671 100000\n19670 29577\n26843 40341\n39331 59120\n37192 55927\n17304 26024\n17820 26811\n90201 100000\n49575 74448\n13931 20980\n37227 55982\n62159 93298\n75720 100000\n16307 24518\n40268 60490\n3523 5287\n39783 59772\n49141 73796\n82358 100000\n41932 62987\n46546 69889\n14947 22499\n11434 17223\n81701 100000\n28545 42895\n98033 100000\n29959 45017\n41565 62434\n10969 16516\n99042 100000\n32374 48697\n54443 81715\n47098 70701\n82413 100000\n6227 9341\n18221 27421\n68256 100000\n84889 100000\n6776 10193\n49837 74832\n76233 100000\n81120 100000\n77423 100000\n8482 12783\n67445 100000\n40271 60495\n32735 49241\n59811 89788\n84661 100000\n58753 88195\n43146 64787\n70020 100000\n38881 58456\n62397 93657\n21841 32855\n44898 67395\n35884 53939\n82185 100000\n76612 100000\n59882 89891\n48829 73333\n3533 5303\n57586 86429\n2285 3452\n83717 100000\n91134 100000\n32702 49193\n61252 91949\n94709 100000\n57654 86530\n17607 26487\n59912 89934\n65770 98651\n49495 74326\n11882 17918\n78328 100000\n2487 3760\n95475 100000\n56237 84409\n8651 13035\n2771 4185\n69411 100000\n12197 18380\n26379 39645\n39632 59560\n18387 27668\n89986 100000\n93967 100000\n89409 100000\n74529 100000\n76689 100000\n90735 100000\n65825 98736\n70697 100000\n84863 100000\n26376 39640\n31846 47890\n76097 100000\n60218 90385\n42334 63584\n5308 7982\n45065 67657\n17931 26981\n45753 68689\n1671 2527\n15107 22741\n76566 100000\n2508 3789\n11584 17459\n53755 80675\n98977 100000\n42814 64304\n45021 67593\n80501 100000\n10206 15369\n71558 100000\n27476 41298\n25716 38658\n68601 100000\n50039 75137\n21413 32209\n50689 76091\n67484 100000\n81800 100000\n63129 94757\n26666 40061\n89067 100000\n99252 100000\n63480 95265\n1501 2265\n86417 100000\n15292 22999\n5534 8307\n291 435\n20063 30183\n15233 22916\n10112 15230\n4510 6767\n8160 12294\n64666 97022\n99445 100000\n94879 100000\n27371 41132\n10113 15232\n24283 36522\n90593 100000\n26643 40026\n77581 100000\n84041 100000\n56734 85137\n58653 88040\n83835 100000\n34393 51712\n52044 78126\n28425 42709\n18726 28177\n9708 14621\n19629 29515\n56622 84962\n82179 100000\n19283 29005\n95916 100000\n75289 100000\n97236 100000\n95839 100000\n42272 63487\n56957 85479\n58375 87624\n68840 100000\n84862 100000\n87708 100000\n97660 100000\n76962 100000\n64669 97025\n34257 51515\n54632 81996\n6236 9356\n49530 74379\n39320 59104\n77175 100000\n96991 100000\n25093 37734\n7158 10787\n3188 4811\n97279 100000\n43564 65423\n21418 32216\n69522 100000\n62162 93302\n35849 53888\n14868 22385\n68981 100000\n15618 23477\n82972 100000\n37340 56149\n90788 100000\n85912 100000\n69402 100000\n95523 100000\n99675 100000\n66056 99093\n33171 49898\n40816 61312\n49994 75069\n4770 7157\n48787 73269\n19803 29785\n97682 100000\n32513 48907\n725 1104\n57408 86155\n52734 79160\n68520 100000\n64598 96919\n94325 100000\n80165 100000\n41526 62378\n36555 54972\n82786 100000\n44483 66773\n43894 65918\n60654 91047\n39687 59642\n8914 13427\n11402 17169\n30484 45808\n9096 13697\n2579 3893\n10523 15853\n746 1134\n67409 100000\n65702 98552\n93622 100000\n47356 71089\n70106 100000\n60803 91274\n3362 5063\n89975 100000\n43429 65224\n3651 5474\n24525 36882\n53372 80103\n79876 100000\n59825 89804\n35289 53050\n19804 29786\n79126 100000\n9743 14672\n255 381\n82814 100000\n24029 36145\n40365 60631\n18350 27612\n31578 47490\n30860 46385\n88729 100000\n74383 100000\n46635 70012\n21817 32819\n73727 100000\n36826 55370\n60749 91186\n85103 100000\n75856 100000\n54927 82436\n65176 97773\n36285 54567\n41499 62340\n45880 68882\n67282 100000\n62085 93185\n61925 92947\n77544 100000\n54706 82106\n85498 100000\n83461 100000\n36158 54361\n51468 77258\n36776 55296\n98861 100000\n24890 37428\n90633 100000\n19308 29045\n43269 64978\n53220 79875\n53228 79886\n32223 48470\n19764 29720\n243 360\n45351 68090\n62751 94190\n2970 4480\n37207 55952\n2005 3025\n82415 100000\n39598 59507\n39825 59835\n35077 52732\n54405 81657\n542 823\n47530 71350\n43922 65959\n17132 25761\n64417 96644\n50796 76249\n88140 100000\n32741 49248\n86746 100000\n41757 62718\n1182 1785\n44819 67277\n15280 22980\n69940 100000\n28065 42169\n50491 75801\n20411 30713\n11491 17317\n92468 100000\n4459 6689\n137 206\n21175 31856\n79243 100000\n31218 46941\n69909 100000\n31265 47011\n90475 100000\n36440 54802\n87437 100000\n5122 7687\n67002 100000\n74964 100000\n90794 100000\n42304 63537\n84954 100000\n37944 57048\n77071 100000\n30412 45698\n66322 99495\n67325 100000\n56636 84982\n71401 100000\n8060 12144\n26404 39680\n86277 100000\n9949 14976\n72353 100000\n48163 72334\n36931 55536\n51592 77439\n89710 100000\n33473 50337\n81356 100000\n49264 73985\n63443 95211\n42241 63440\n10308 15532\n82629 100000\n33677 50642\n15944 23960\n26090 39210\n62103 93212\n71012 100000\n83260 100000\n68063 100000\n58182 87326\n84893 100000\n36816 55355\n65826 98738\n55590 83437\n10089 15192\n77067 100000\n76546 100000\n99491 100000\n41645 62558\n63197 94856\n82678 100000\n42350 63609\n91518 100000\n48457 72783\n25408 38199\n17186 25840\n41668 62591\n56601 84932\n47982 72048\n27232 40922\n97776 100000\n25219 37918\n11881 17917\n94876 100000\n51090 76690\n72020 100000\n16763 25202\n34590 51996\n88881 100000\n32289 48571\n42555 63916\n29587 44467\n43029 64621\n30766 46244\n47723 71647\n40241 60451\n48910 73449\n49161 73826\n7572 11413\n71944 100000\n66493 99753\n84994 100000\n37086 55772\n93634 100000\n41934 62990\n33336 50136\n6804 10237\n65795 98692\n8903 13409\n87478 100000\n50122 75251\n55991 84041\n59962 90010\n89195 100000\n34018 51163\n5437 8167\n45955 68996\n85374 100000\n33264 50033\n86989 100000\n60298 90509\n21999 33090\n1536 2323\n97998 100000\n75817 100000\n1445 2176\n60769 91219\n2393 3620\n46021 69099\n10142 15275\n31497 47363\n71219 100000\n21180 31863\n77511 100000\n75810 100000\n72039 100000\n73649 100000\n67632 100000\n97908 100000\n79321 100000\n32996 49640\n44449 66726\n2673 4037\n721 1096\n42665 64087\n3675 5511\n55673 83562\n64060 96119\n77583 100000\n8113 12224\n97636 100000\n23227 34928\n9114 13723\n50114 75238\n12957 19518\n14096 21211\n68389 100000\n29481 44303\n4331 6498\n45953 68993\n61616 92483\n41779 62752\n72873 100000\n21591 32472\n17966 27032\n47699 71612\n98747 100000\n20401 30698\n8034 12107\n19790 29762\n93440 100000\n74763 100000\n96880 100000\n27261 40967\n10008 15067\n58176 87319\n99080 100000\n6598 9917\n3588 5383\n38298 57581\n40524 60866\n95532 100000\n22482 33816\n5509 8273\n30193 45373\n71355 100000\n83821 100000\n37202 55943\n22476 33809\n61748 92683\n3041 4587\n62366 93605\n26789 40255\n66439 99675\n57362 86087\n3671 5506\n42816 64307\n53738 80648\n92157 100000\n1402 2113\n76019 100000\n7325 11035\n32864 49439\n29500 44332\n88262 100000\n23731 35702\n86886 100000\n69790 100000\n38724 58219\n78246 100000\n80599 100000\n5518 8285\n72407 100000\n73360 100000\n59052 88645\n72898 100000\n21984 33069\n23021 34616\n30574 45951\n49369 74137\n63537 95352\n48456 72782\n94184 100000\n24923 37474\n4544 6817\n19856 29865\n45602 68465\n68211 100000\n95927 100000\n13972 21039\n82698 100000\n91161 100000\n9415 14188\n18581 27953\n6949 10454\n20784 31275\n15811 23761\n18654 28064\n59447 89249\n60292 90501\n5315 7993\n53585 80417\n88608 100000\n62854 94348\n30976 46567\n92553 100000\n43853 65862\n21214 31913\n28118 42247\n24715 37172\n1323 1995\n93996 100000\n89578 100000\n11897 17939\n88299 100000\n7355 11081\n35745 53735\n79904 100000\n4318 6476\n53027 79591\n1294 1953\n61919 92941\n43344 65096\n73275 100000\n95547 100000\n49607 74498\n4727 7093\n11480 17300\n31697 47669\n70887 100000\n51460 77244\n41379 62150\n94487 100000\n37451 56318\n12014 18115\n71345 100000\n11560 17419\n66728 100000\n24086 36227\n9690 14594\n15410 23171\n76429 100000\n89091 100000\n38433 57791\n25876 38897\n66060 99101\n44651 67024\n75848 100000\n87812 100000\n74438 100000\n31148 46831\n5238 7870\n69392 100000\n58240 87414\n96237 100000\n29316 44059\n16021 24084\n33477 50341\n64578 96890\n22862 34384\n31077 46718\n63887 95863\n79204 100000\n27324 41063\n33789 50810\n71897 100000\n46233 69415\n65655 98480\n22479 33812\n29295 44026\n34928 52515\n73603 100000\n70305 100000\n11896 17938\n56862 85339\n34665 52114\n72924 100000\n97537 100000\n51656 77536\n51118 76732\n14656 22070\n54305 81521\n38264 57527\n31890 47955\n20612 31015\n60611 90977\n18666 28083\n87360 100000\n73791 100000\n78837 100000\n5666 8499\n63032 94609\n21731 32689\n69469 100000\n92343 100000\n50310 75533\n6168 9259\n77138 100000\n25321 38068\n44136 66281\n26230 39420\n12135 18296\n49023 73616\n90807 100000\n96608 100000\n56230 84399\n62300 93509\n7421 11177\n13842 20844\n44045 66143\n94387 100000\n16138 24265\n92053 100000\n2943 4442\n54913 82415\n4111 6171\n67547 100000\n27504 41334\n28772 43236\n42166 63324\n9745 14675\n12885 19412\n65725 98582\n90804 100000\n45791 68746\n11493 17321\n54110 81215\n52129 78256\n45965 69010\n67056 100000\n36034 54169\n61634 92511\n82632 100000\n70031 100000\n7107 10710\n85219 100000\n27511 41346\n3220 4858\n51525 77340\n72476 100000\n56208 84365\n53989 81033\n46294 69512\n14517 21865\n74317 100000\n85866 100000\n69641 100000\n90677 100000\n61010 91590\n49251 73965\n25922 38961\n87711 100000\n74915 100000\n51408 77173\n83589 100000\n24301 36546\n94782 100000\n52834 79306\n36841 55395\n39900 59942\n32589 49027\n56575 84895\n94376 100000\n64798 97222\n82749 100000\n31484 47345\n49547 74404\n92228 100000\n57752 86680\n36578 55003\n50558 75899\n8294 12504\n67352 100000\n24570 36950\n90025 100000\n32173 48389\n17982 27059\n11289 16999\n82789 100000\n36978 55605\n96292 100000\n79782 100000\n81746 100000\n33596 50520\n75885 100000\n26274 39485\n11956 18032\n66891 100000\n51797 77746\n2833 4277\n94270 100000\n16064 24147\n35143 52827\n87684 100000\n64932 97410\n21818 32820\n45645 68525\n68065 100000\n55724 83642\n64945 97428\n57153 85780\n99508 100000\n77675 100000\n62455 93741\n11872 17902\n57078 85666\n36548 54961\n12391 18674\n65244 97875\n95205 100000\n52019 78090\n75994 100000\n23281 35004\n19253 28960\n4746 7120\n69086 100000\n92799 100000\n52671 79068\n30727 46191\n95645 100000\n53534 80345\n56810 85257\n15479 23273\n30054 45155\n7062 10636\n17754 26710\n88626 100000\n70904 100000\n87612 100000\n72336 100000\n16805 25265\n30234 45428\n97255 100000\n7883 11877\n59066 88669\n47329 71053\n46067 69164\n41632 62539\n36042 54182\n5950 8933\n54655 82028\n76135 100000\n78674 100000\n85921 100000\n22321 33578\n48331 72591\n31300 47065\n52023 78096\n85927 100000\n43420 65210\n11701 17644\n87381 100000\n36354 54671\n93661 100000\n28344 42587\n52967 79506\n90175 100000\n75127 100000\n25801 38781\n88707 100000\n59871 89872\n9528 14354\n50317 75545\n32429 48778\n65146 97726\n79695 100000\n54636 82001\n11086 16689\n99755 100000\n74668 100000\n67807 100000\n74704 100000\n73461 100000\n1623 2454\n53561 80384\n16841 25316\n69034 100000\n57694 86594\n24523 36879\n48721 73183\n34557 51945\n42648 64062\n94750 100000\n52600 78965\n8754 13184\n14560 21923\n85224 100000\n20298 30541\n69762 100000\n67647 100000\n57350 86072\n44767 67200\n61384 92135\n96216 100000\n99484 100000\n92876 100000\n68677 100000\n23205 34893\n66021 99034\n85805 100000\n10867 16363\n80624 100000\n97304 100000\n62121 93240\n75302 100000\n27598 41476\n93340 100000\n39250 58995\n29943 44993\n44894 67389\n21970 33051\n13654 20554\n97822 100000\n13344 20097\n7118 10727\n29087 43713\n73462 100000\n28881 43401\n8810 13271\n75052 100000\n19448 29251\n28086 42197\n92556 100000\n29468 44283\n65803 98705\n10527 15858\n17335 26077\n47077 70674\n38979 58607\n93767 100000\n12782 19252\n23028 34626\n31446 47290\n77444 100000\n61670 92570\n10138 15269\n90484 100000\n40238 60447\n58487 87789\n81045 100000\n62310 93525\n72372 100000\n84208 100000\n26591 39949\n60021 90098\n15424 23191\n82746 100000\n60558 90895\n88380 100000\n94791 100000\n67841 100000\n68924 100000\n53980 81020\n47340 71069\n9574 14419\n58324 87549\n75883 100000\n82044 100000\n83365 100000\n54546 81871\n88306 100000\n81430 100000\n64926 97403\n42286 63509\n76119 100000\n28688 43110\n91187 100000\n55379 83117\n60444 90729\n88695 100000\n52673 79072\n18107 27252\n26639 40021\n31034 46656\n7848 11821\n8739 13159\n88773 100000\n3382 5092\n383 572\n2499 3776\n55273 82959\n77933 100000\n79055 100000\n21742 32705\n61591 92445\n26589 39947\n32936 49547\n80190 100000\n32788 49327\n33203 49944\n8614 12982\n82254 100000\n6586 9899\n11712 17662\n96555 100000\n24340 36601\n33747 50748\n82960 100000\n11707 17653\n80811 100000\n53497 80290\n19659 29559\n51792 77739\n22523 33875\n35423 53249\n11290 17001\n17917 26959\n89015 100000\n2623 3964\n93861 100000\n75421 100000\n40725 61176\n91294 100000\n47310 71020\n61470 92271\n57177 85815\n32195 48423\n17227 25904\n20565 30944\n97050 100000\n86610 100000\n581 883\n80199 100000\n65329 97999\n57716 86627\n59643 89532\n21616 32512\n2418 3654\n70464 100000\n63267 94958\n68697 100000\n396 593\n79580 100000\n61603 92465\n49813 74796\n24733 37198\n8704 13112\n28844 43349\n22246 33465\n73563 100000\n76599 100000\n9886 14881\n92760 100000\n33566 50477\n22497 33838\n42784 64263\n5108 7665\n39128 58819\n15783 23715\n91164 100000\n28386 42652\n31972 48079\n52224 78401\n68415 100000\n77229 100000\n56694 85068\n57683 86575\n79841 100000\n75061 100000\n16888 25390\n93669 100000\n82444 100000\n87247 100000\n43938 65984\n51434 77209\n65957 98937\n55077 82660\n66026 99042\n13167 19830\n66045 99074\n66249 99389\n2622 3963\n1394 2101\n46573 69927\n37469 56342\n85945 100000\n97976 100000\n9739 14666\n18465 27786\n66664 100000\n91720 100000\n55933 83953\n8131 12252\n52290 78500\n83168 100000\n5954 8939\n28477 42784\n2465 3725\n29784 44761\n64235 96375\n85523 100000\n45591 68448\n76396 100000\n50510 75830\n24730 37193\n4366 6549\n13169 19832\n33651 50600\n52477 78780\n50363 75612\n14936 22482\n33202 49943\n848 1287\n34927 52514\n36248 54510\n88126 100000\n67508 100000\n94192 100000\n65133 97706\n91032 100000\n27918 41954\n1926 2910\n58295 87505\n65425 98133\n87014 100000\n18068 27190\n35482 53336\n13959 21023\n46316 69543\n41045 61650\n41739 62694\n91235 100000\n19786 29756\n11306 17026\n78884 100000\n13551 20400\n81062 100000\n92399 100000\n58517 87833\n15491 23290\n80168 100000\n92883 100000\n83332 100000\n52110 78230\n95782 100000\n66602 99916\n96167 100000\n54521 81831\n67447 100000\n77228 100000\n61785 92740\n7362 11090\n62316 93532\n21699 32642\n6635 9973\n5245 7878\n94189 100000\n16287 24491\n55822 83790\n66558 99853\n98099 100000\n45781 68731\n61512 92334\n84712 100000\n18059 27178\n15699 23592\n59191 88854\n28623 43017\n39591 59495\n16959 25502\n9725 14646\n86794 100000\n43944 65993\n55806 83767\n46933 70469\n55057 82627\n78717 100000\n15827 23784\n75730 100000\n22067 33194\n21183 31868\n35310 53084\n89973 100000\n24428 36733\n9884 14878\n40243 60455\n2106 3175\n4018 6035\n57798 86746\n46856 70358\n87110 100000\n89100 100000\n20342 30610\n43433 65230\n36533 54941\n37964 57075\n70527 100000\n74719 100000\n5465 8207\n94224 100000\n72706 100000\n93743 100000\n98486 100000\n56465 84735\n3314 4989\n43070 64676\n52269 78469\n39871 59900\n51501 77305\n54835 82301\n2532 3824\n55207 82862\n88667 100000\n51737 77658\n67583 100000\n3536 5308\n12364 18631\n85851 100000\n82085 100000\n76570 100000\n5679 8521\n17560 26412\n36935 55540\n10300 15520\n87128 100000\n85010 100000\n82501 100000\n15001 22582\n89850 100000\n68525 100000\n69617 100000\n8392 12653\n93676 100000\n51245 76923\n70589 100000\n34544 51927\n45447 68236\n44724 67130\n95845 100000\n89498 100000\n84325 100000\n15294 23002\n93008 100000\n45330 68060\n10091 15196\n82136 100000\n27851 41857\n57646 86518\n20971 31558\n69918 100000\n34123 51317\n81896 100000\n92222 100000\n27305 41036\n65914 98868\n90604 100000\n83756 100000\n97219 100000\n38885 58461\n49203 73890\n14478 21805\n36927 55529\n61405 92166\n86711 100000\n36419 54773\n78499 100000\n45883 68887\n90232 100000\n56942 85455\n88651 100000\n56382 84620\n8778 13220\n95159 100000\n92708 100000\n65073 97614\n11467 17278\n90884 100000\n24680 37118\n87049 100000\n61597 92454\n45568 68415\n68156 100000\n97296 100000\n76925 100000\n27637 41538\n50102 75221\n46712 70127\n57579 86416\n95280 100000\n19041 28654\n77870 100000\n51390 77146\n82272 100000\n83227 100000\n29845 44846\n66904 100000\n40118 60271\n10041 15119\n93804 100000\n7429 11192\n16306 24517\n41074 61691\n90521 100000\n64533 96821\n18308 27548\n19734 29677\n82957 100000\n38446 57809\n35530 53408\n96244 100000\n27861 41870\n68956 100000\n37255 56023\n73910 100000\n45293 68002\n22468 33797\n94275 100000\n78512 100000\n92922 100000\n86581 100000\n75359 100000\n46075 69176\n44105 66232\n74458 100000\n26729 40160\n59615 89489\n80093 100000\n74060 100000\n66443 99679\n61026 91613\n12568 18930\n79351 100000\n62273 93469\n4937 7411\n53287 79972\n44256 66446\n8051 12130\n71703 100000\n43355 65113\n77075 100000\n84252 100000\n98426 100000\n4211 6320\n85935 100000\n92167 100000\n60535 90862\n83998 100000\n94265 100000\n25782 38756\n57439 86200\n83571 100000\n1843 2794\n99483 100000\n53061 79642\n53406 80155\n94264 100000\n95214 100000\n94594 100000\n93927 100000\n11046 16631\n4104 6161\n73111 100000\n92591 100000\n832 1263\n2874 4340\n38729 58227\n72456 100000\n99801 100000\n58876 88382\n14118 21245\n81711 100000\n84102 100000\n71522 100000\n66213 99333\n44397 66651\n35508 53372\n63975 95992\n43114 64738\n77863 100000\n65053 97582\n92014 100000\n88917 100000\n73445 100000\n32891 49480\n2046 3083\n90369 100000\n98926 100000\n95799 100000\n32486 48862\n11005 16568\n91131 100000\n35250 52987\n15160 22812\n49867 74882\n60217 90383\n48376 72655\n60565 90906\n61178 91836\n56438 84699\n82132 100000\n31620 47554\n9254 13942\n3264 4921\n14953 22510\n90546 100000\n72030 100000\n24017 36128\n97704 100000\n48834 73341\n7913 11922\n70713 100000\n21311 32064\n1892 2864\n52934 79455\n52537 78873\n550 835\n8304 12519\n93819 100000\n88007 100000\n91801 100000\n57590 86434\n10309 15533\n75869 100000\n30139 45284\n84477 100000\n44551 66875\n67121 100000\n59596 89460\n86823 100000\n95543 100000\n79219 100000\n32705 49197\n88599 100000\n84508 100000\n87555 100000\n74013 100000\n74411 100000\n13910 20946\n22805 34295\n32930 49538\n80352 100000\n88632 100000\n53420 80176\n48557 72938\n36275 54553\n35645 53580\n80777 100000\n32111 48288\n72104 100000\n88502 100000\n81612 100000\n55569 83408\n30501 45836\n91188 100000\n19939 29988\n59266 88971\n39631 59558\n60638 91022\n68842 100000\n31371 47171\n32822 49378\n35122 52795\n27723 41665\n11768 17748\n13038 19638\n7221 10879\n17114 25731\n8756 13187\n76395 100000\n59021 88600\n13674 20583\n99140 100000\n10919 16442\n13929 20976\n75934 100000\n90403 100000\n1122 1698\n38011 57148\n75828 100000\n39453 59296\n83120 100000\n38595 58029\n32938 49550\n32436 48789\n45737 68665\n29285 44010\n98779 100000\n90526 100000\n68857 100000\n15158 22808\n74261 100000\n39123 58813\n96516 100000\n21609 32503\n64420 96648\n43184 64843\n34880 52447\n26750 40195\n35034 52667\n67226 100000\n45165 67803\n42578 63953\n58605 87970\n85667 100000\n479 721\n97098 100000\n72451 100000\n17541 26385\n16567 24908\n50836 76308\n63653 95527\n34475 51830\n26095 39216\n92517 100000\n42978 64549\n67734 100000\n54335 81563\n61427 92203\n96740 100000\n17269 25967\n21471 32296\n46725 70145\n89668 100000\n41518 62366\n5367 8065\n98191 100000\n66468 99718\n18483 27812\n73216 100000\n64766 97168\n20974 31562\n1448 2182\n71535 100000\n15518 23326\n73600 100000\n57235 85903\n15599 23451\n93052 100000\n73045 100000\n44547 66870\n14019 21106\n58316 87536\n22985 34565\n80270 100000\n77726 100000\n97643 100000\n1715 2597\n32281 48561\n84148 100000\n17536 26378\n23776 35771\n4160 6243\n43816 65804\n62422 93694\n19708 29639\n40425 60722\n59819 89796\n21980 33064\n68659 100000\n5322 8003\n88865 100000\n48621 73027\n28553 42907\n73302 100000\n65477 98217\n19411 29198\n25431 38238\n30394 45672\n83434 100000\n94703 100000\n63349 95076\n78141 100000\n4379 6570\n32491 48871\n69766 100000\n83587 100000\n64864 97319\n6850 10308\n48306 72554\n6320 9487\n70879 100000\n61038 91630\n88040 100000\n23752 35735\n78282 100000\n61809 92774\n49967 75031\n67834 100000\n46604 69967\n33527 50419\n56472 84745\n74516 100000\n59601 89467\n48903 73438\n85519 100000\n68044 100000\n61041 91635\n60675 91078\n43458 65268\n68484 100000\n8174 12316\n85579 100000\n99832 100000\n32680 49162\n19087 28722\n5301 7971\n17317 26044\n30211 45399\n28501 42824\n11961 18040\n95964 100000\n78239 100000\n63099 94713\n36933 55538\n54293 81501\n26507 39828\n43425 65217\n50538 75869\n14659 22075\n71007 100000\n34580 51980\n41636 62544\n23171 34845\n29862 44874\n83155 100000\n91985 100000\n74594 100000\n89588 100000\n73117 100000\n34979 52589\n76719 100000\n53599 80439\n50099 75218\n523 795\n88090 100000\n86132 100000\n42374 63642\n87957 100000\n17997 27080\n76929 100000\n56167 84300\n11363 17111\n12510 18845\n77943 100000\n69991 100000\n97422 100000\n72076 100000\n56224 84390\n10218 15388\n3387 5099\n55399 83149\n62817 94295\n45778 68726\n1879 2845\n21226 31932\n11413 17187\n95795 100000\n64696 97066\n89491 100000\n222 330\n6639 9980\n73652 100000\n37384 56216\n65156 97741\n96921 100000\n64939 97421\n74764 100000\n27832 41830\n61854 92841\n65100 97654\n58195 87343\n11686 17619\n51291 76992\n15150 22798\n76857 100000\n63817 95762\n44983 67534\n41108 61745\n56088 84185\n52445 78736\n44528 66838\n87829 100000\n81413 100000\n10639 16021\n12596 18969\n27769 41737\n77760 100000\n80597 100000\n28100 42218\n74145 100000\n12145 18309\n61545 92383\n32275 48552\n90406 100000\n32681 49164\n93659 100000\n16254 24442\n364 546\n61997 93049\n24801 37297\n86997 100000\n45086 67685\n72341 100000\n11348 17088\n60202 90360\n96036 100000\n20964 31548\n22697 34134\n26092 39212\n68849 100000\n86695 100000\n25420 38221\n78595 100000\n64774 97182\n48418 72721\n7769 11717\n24533 36894\n73027 100000\n54709 82111\n44102 66227\n26784 40247\n83737 100000\n79713 100000\n75911 100000\n37017 55666\n81370 100000\n8621 12993\n7531 11353\n80878 100000\n917 1391\n50783 76230\n59521 89352\n95282 100000\n57238 85907\n62520 93835\n27835 41835\n64846 97290\n68539 100000\n96993 100000\n42658 64076\n87072 100000\n11197 16861\n60721 91143\n53118 79723\n91440 100000\n10147 15282\n49533 74383\n34522 51897\n60656 91050\n46329 69564\n54183 81327\n65037 97557\n22012 33107\n59523 89355\n36357 54676\n19073 28701\n1128 1705\n20454 30779\n77420 100000\n8531 12860\n95069 100000\n16537 24862\n92936 100000\n11512 17347\n7049 10619\n11304 17022\n2726 4120\n5104 7657\n54565 81897\n55747 83676\n91407 100000\n58402 87662\n89979 100000\n12629 19020\n43126 64756\n28513 42842\n11011 16580\n57896 86895\n72413 100000\n7404 11151\n66477 99730\n41827 62826\n17722 26661\n6693 10064\n85946 100000\n6095 9147\n72949 100000\n47473 71268\n14900 22431\n46764 70207\n5604 8413\n19417 29207\n91563 100000\n84804 100000\n69279 100000\n98196 100000\n51078 76673\n38558 57979\n79051 100000\n91982 100000\n39291 59055\n62678 94077\n79085 100000\n73513 100000\n84427 100000\n42583 63963\n99872 100000\n96233 100000\n62258 93448\n36715 55210\n17477 26284\n29743 44704\n21850 32868\n82799 100000\n2412 3646\n74926 100000\n19574 29438\n50142 75281\n81117 100000\n33406 50239\n40980 61553\n75426 100000\n8451 12741\n89556 100000\n47467 71260\n26163 39319\n28377 42638\n52955 79487\n32133 48320\n6772 10188\n86895 100000\n51958 77993\n50814 76275\n78247 100000\n65860 98790\n16716 25134\n48326 72585\n27496 41323\n68158 100000\n7462 11243\n54745 82165\n58609 87976\n68144 100000\n54218 81377\n94960 100000\n20737 31206\n61448 92237\n87737 100000\n45454 68247\n99786 100000\n21596 32481\n80698 100000\n1348 2030\n49697 74624\n52529 78861\n2857 4316\n9899 14901\n40909 61449\n42068 63182\n25373 38148\n82260 100000\n95373 100000\n78342 100000\n70163 100000\n52040 78120\n35736 53721\n15718 23618\n56261 84442\n21798 32789\n7470 11257\n97538 100000\n30417 45707\n27315 41048\n99598 100000\n9912 14921\n39221 58946\n26285 39503\n54722 82130\n48475 72811\n44159 66318\n44635 67001\n40170 60352\n80339 100000\n40187 60377\n45851 68839\n53428 80189\n60362 90607\n19423 29215\n18558 27917\n9216 13878\n13362 20125\n712 1084\n43584 65457\n69164 100000\n42461 63775\n58113 87224\n94460 100000\n25629 38525\n64481 96741\n639 970\n50085 75201\n90266 100000\n25353 38116\n45422 68198\n1037 1572\n57620 86477\n81424 100000\n69102 100000\n49021 73613\n74611 100000\n19597 29470\n75954 100000\n10221 15393\n92599 100000\n45093 67696\n36513 54912\n15871 23855\n82561 100000\n7382 11120\n36911 55507\n49591 74473\n81619 100000\n60367 90613\n36742 55246\n57332 86044\n50072 75182\n91341 100000\n19751 29703\n3470 5211\n78587 100000\n40635 61043\n16445 24723\n14902 22433\n25455 38275\n86987 100000\n98304 100000\n65071 97612\n93363 100000\n14061 21166\n28018 42104\n61759 92698\n4455 6684\n8671 13067\n10781 16236\n63832 95786\n5176 7774\n77642 100000\n8776 13217\n48241 72450\n30244 45443\n55607 83464\n61232 91919\n65880 98819\n51863 77846\n67706 100000\n89158 100000\n1738 2633\n75998 100000\n3155 4760\n64472 96724\n37915 57007\n95330 100000\n13458 20264\n45428 68207\n20644 31062\n41375 62145\n48355 72624\n11072 16670\n81630 100000\n40985 61560\n16330 24553\n42743 64203\n45637 68514\n16296 24503\n17664 26572\n73220 100000\n8270 12463\n50126 75256\n27888 41908\n43942 65989\n91265 100000\n5519 8286\n94815 100000\n80431 100000\n64889 97354\n22441 33752\n31909 47984\n64443 96681\n63783 95713\n17487 26300\n25548 38402\n14743 22200\n55699 83606\n56615 84953\n45537 68368\n55200 82852\n33410 50245\n1210 1826\n45386 68145\n47930 71965\n12456 18771\n48116 72256\n24342 36605\n42375 63643\n91137 100000\n25663 38578\n23320 35069\n18108 27254\n69022 100000\n34987 52602\n53828 80789\n81440 100000\n85688 100000\n54455 81732\n37525 56430\n49281 74008\n20522 30884\n99999 100000\n39178 58887\n41768 62735\n81275 100000\n54886 82374\n38740 58244\n44523 66829\n96152 100000\n58937 88474\n45511 68328\n97688 100000\n52781 79227\n55508 83315\n73566 100000\n8585 12940\n6162 9249\n15157 22807\n71513 100000\n36106 54282\n30627 46031\n76677 100000\n55857 83839\n95030 100000\n13163 19826\n32407 48744\n85174 100000\n64870 97328\n54450 81725\n30657 46075\n68107 100000\n8340 12569\n27133 40775\n93737 100000\n46895 70416\n4287 6434\n48007 72085\n14069 21176\n82857 100000\n36363 54685\n1125 1702\n28268 42471\n24252 36476\n57819 86776\n76580 100000\n66100 99159\n74102 100000\n34812 52345\n53853 80828\n51055 76636\n48503 72857\n72203 100000\n51963 78002\n25526 38369\n28816 43306\n40409 60698\n59966 90017\n51281 76977\n70382 100000\n85406 100000\n32568 48992\n68312 100000\n73035 100000\n15714 23613\n99267 100000\n1063 1607\n42750 64213\n44239 66422\n27043 40635\n73848 100000\n799 1212\n96318 100000\n59351 89106\n57060 85636\n30228 45419\n33423 50267\n20009 30098\n55791 83743\n22163 33340\n10414 15695\n43600 65481\n87565 100000\n61231 91917\n50243 75438\n58429 87702\n87965 100000\n90801 100000\n75487 100000\n71141 100000\n27466 41282\n29277 43998\n83201 100000\n26837 40333\n44337 66567\n3228 4869\n86936 100000\n18425 27725\n80358 100000\n2018 3047\n4242 6362\n89114 100000\n80816 100000\n62507 93813\n55749 83679\n26763 40214\n81582 100000\n41277 61995\n67779 100000\n60411 90678\n7136 10753\n6396 9613\n99831 100000\n44099 66224\n23127 34781\n8535 12865\n12904 19441\n34063 51225\n41348 62102\n8099 12203\n64587 96902\n11282 16990\n47099 70702\n43258 64961\n55043 82611\n34666 52115\n70852 100000\n49395 74174\n76469 100000\n82787 100000\n35126 52801\n36245 54505\n94449 100000\n33787 50807\n68796 100000\n62677 94076\n61106 91731\n52807 79265\n58503 87813\n53216 79870\n828 1258\n76340 100000\n20994 31591\n82224 100000\n87279 100000\n40540 60890\n3804 5712\n96905 100000\n67165 100000\n70977 100000\n19877 29895\n91277 100000\n83586 100000\n85794 100000\n45820 68792\n94148 100000\n54193 81341\n39490 59347\n53242 79905\n83205 100000\n97620 100000\n75044 100000\n18393 27676\n83236 100000\n48054 72162\n22744 34206\n769 1167\n33337 50138\n75941 100000\n92544 100000\n67450 100000\n48790 73274\n78560 100000\n99693 100000\n10408 15685\n11181 16836\n95600 100000\n55016 82570\n79824 100000\n69692 100000\n24310 36558\n75156 100000\n18192 27375\n3042 4589\n95920 100000\n58660 88050\n54306 81522\n4735 7105\n6067 9107\n34669 52121\n92618 100000\n91864 100000\n1328 2003\n68456 100000\n30048 45144\n43528 65370\n82428 100000\n41470 62290\n4965 7446\n45714 68629\n65196 97802\n96252 100000\n24547 36917\n19324 29066\n73238 100000\n47856 71842\n53438 80204\n47625 71494\n41182 61851\n60572 90916\n99688 100000\n13353 20110\n66689 100000\n20258 30479\n41146 61796\n71783 100000\n27151 40802\n2926 4416\n80080 100000\n59514 89344\n13702 20621\n24501 36847\n70845 100000\n39672 59617\n73293 100000\n48160 72330\n60698 91112\n98923 100000\n26296 39517\n50845 76321\n56964 85490\n33165 49890\n60143 90281\n10556 15896\n86508 100000\n50297 75514\n52821 79285\n57838 86806\n2543 3838\n59637 89522\n94514 100000\n36536 54945\n4169 6257\n92683 100000\n40022 60127\n18872 28400\n32268 48542\n14731 22180\n21867 32895\n60929 91466\n82094 100000\n46846 70340\n88954 100000\n45055 67641\n24358 36630\n51073 76665\n79735 100000\n20005 30092\n71058 100000\n97413 100000\n29588 44468\n90155 100000\n67899 100000\n73788 100000\n25719 38662\n67880 100000\n69101 100000\n4201 6305\n18026 27125\n1389 2093\n37508 56402\n81128 100000\n49339 74093\n95751 100000\n30821 46322\n26840 40336\n10934 16465\n17250 25935\n50546 75880\n59905 89924\n7767 11715\n38484 57867\n65487 98231\n66935 100000\n93129 100000\n96371 100000\n22568 33942\n33353 50160\n82655 100000\n73401 100000\n21576 32448\n63718 95618\n38007 57140\n78945 100000\n55706 83615\n76477 100000\n53951 80975\n58044 87117\n8788 13237\n61430 92208\n91190 100000\n60417 90686\n63163 94806\n97905 100000\n84332 100000\n74053 100000\n7758 11700\n47393 71147\n54790 82237\n26688 40095\n65935 98901\n39762 59744\n19033 28642\n2651 4006\n17020 25590\n74587 100000\n44101 66226\n71947 100000\n96792 100000\n74893 100000\n29559 44423\n752 1140\n68344 100000\n60739 91171\n74733 100000\n48770 73247\n87489 100000\n23232 34935\n10780 16235\n71055 100000\n24003 36106\n57316 86019\n34517 51890\n63103 94720\n32378 48702\n96027 100000\n35851 53891\n71018 100000\n74016 100000\n24497 36840\n29257 43966\n69447 100000\n25108 37756\n91929 100000\n5427 8155\n83999 100000\n18900 28439\n22539 33897\n53905 80909\n2120 3196\n52264 78462\n4579 6871\n64298 96470\n31706 47684\n66907 100000\n88031 100000\n62773 94227\n42670 64096\n17630 26520\n95286 100000\n92477 100000\n13577 20436\n52324 78552\n2369 3580\n15346 23079\n18614 28002\n47975 72039\n65129 97699\n81874 100000\n66562 99858\n21140 31800\n9607 14472\n63837 95792\n56032 84108\n53128 79736\n98577 100000\n61709 92627\n37938 57039\n45562 68405\n5562 8347\n37825 56875\n27402 41183\n16329 24552\n21173 31853\n99365 100000\n44604 66954\n38581 58009\n37604 56541\n80557 100000\n65612 98417\n78657 100000\n16439 24714\n69971 100000\n59503 89328\n84441 100000\n32549 48961\n86694 100000\n50793 76245\n53627 80482\n23729 35699\n64381 96588\n91330 100000\n48130 72278\n64277 96440\n18966 28540\n85701 100000\n57471 86249\n2181 3293\n77746 100000\n52241 78424\n88785 100000\n43879 65897\n81492 100000\n8912 13425\n8345 12578\n42828 64325\n59402 89184\n92613 100000\n31099 46753\n75908 100000\n15763 23686\n98647 100000\n94165 100000\n276 413\n93000 100000\n95243 100000\n83810 100000\n13138 19785\n95549 100000\n88059 100000\n28913 43449\n71323 100000\n58552 87887\n15889 23882\n98148 100000\n51708 77615\n65832 98747\n92028 100000\n19699 29626\n77081 100000\n92583 100000\n57435 86194\n61247 91944\n60134 90267\n27207 40886\n56599 84929\n47760 71702\n67709 100000\n4164 6249\n2667 4029\n93663 100000\n85268 100000\n93657 100000\n35894 53956\n97233 100000\n59225 88909\n8050 12129\n44655 67030\n12449 18761\n15531 23344\n69139 100000\n37503 56394\n61877 92877\n68618 100000\n31159 46846\n35755 53750\n3302 4974\n51124 76740\n21075 31704\n16334 24558\n42745 64206\n78311 100000\n50853 76334\n90721 100000\n506 765\n48544 72916\n51970 78016\n63109 94731\n13546 20393\n99934 100000\n11811 17812\n77078 100000\n6340 9520\n75756 100000\n15530 23343\n40906 61446\n25122 37776\n87043 100000\n18218 27416\n80414 100000\n6368 9570\n69009 100000\n14445 21755\n69570 100000\n33890 50962\n23214 34908\n38570 57994\n69357 100000\n30680 46117\n61260 91960\n93350 100000\n62626 93999\n71634 100000\n93405 100000\n95530 100000\n76492 100000\n12465 18783\n80650 100000\n67877 100000\n404 606\n13349 20105\n5922 8893\n61432 92212\n57557 86382\n76595 100000\n4493 6741\n23467 35289\n29665 44580\n36553 54968\n58208 87361\n10385 15652\n16080 24174\n74079 100000\n29904 44936\n50155 75302\n7195 10843\n96248 100000\n75473 100000\n92723 100000\n38449 57813\n22350 33617\n72650 100000\n8907 13416\n33471 50334\n10936 16469\n16503 24810\n20813 31321\n88013 100000\n98551 100000\n3028 4570\n8458 12749\n80669 100000\n52378 78638\n28743 43191\n24228 36441\n85148 100000\n70752 100000\n30126 45265\n37021 55672\n81615 100000\n38398 57734\n58889 88403\n75966 100000\n33714 50700\n56239 84411\n97754 100000\n72332 100000\n64658 97009\n22018 33116\n66755 100000\n15605 23459\n6228 9342\n7925 11939\n73446 100000\n58075 87164\n87141 100000\n90271 100000\n41930 62983\n632 961\n14816 22313\n57527 86336\n33138 49849\n92001 100000\n90823 100000\n64560 96862\n17809 26794\n6561 9861\n23795 35799\n64958 97448\n23011 34603\n52541 78879\n81878 100000\n9612 14479\n92269 100000\n3400 5116\n68183 100000\n95466 100000\n70793 100000\n49636 74540\n7774 11724\n95635 100000\n54898 82395\n93276 100000\n98502 100000\n54526 81840\n44434 66704\n93290 100000\n97893 100000\n34017 51161\n10751 16193\n34107 51292\n69610 100000\n75962 100000\n65226 97845\n95754 100000\n68850 100000\n52455 78751\n85849 100000\n3782 5676\n89016 100000\n64284 96450\n74168 100000\n72971 100000\n27949 42004\n60421 90691\n64801 97226\n52465 78763\n54820 82280\n80212 100000\n97179 100000\n62872 94373\n88669 100000\n5423 8149\n8580 12932\n38401 57739\n42202 63379\n39194 58909\n43330 65075\n94158 100000\n85783 100000\n93430 100000\n27896 41919\n24337 36597\n26045 39139\n65666 98500\n73623 100000\n9754 14687\n7829 11797\n20611 31013\n13849 20855\n56430 84687\n90 134\n43353 65111\n80805 100000\n48226 72427\n97963 100000\n21776 32755\n55398 83147\n33548 50451\n6935 10434\n92604 100000\n55317 83029\n43757 65716\n39443 59283\n7455 11232\n26123 39258\n46848 70343\n58984 88543\n82888 100000\n56256 84437\n28056 42155\n86191 100000\n86360 100000\n77009 100000\n55606 83462\n78947 100000\n57984 87028\n58101 87207\n82006 100000\n47897 71911\n78743 100000\n59612 89484\n44659 67035\n33121 49824\n50613 75982\n58793 88258\n40164 60343\n72204 100000\n62609 93978\n99382 100000\n11574 17443\n30775 46257\n96511 100000\n8793 13244\n95367 100000\n77727 100000\n43491 65313\n31832 47867\n96325 100000\n13066 19679\n75735 100000\n75688 100000\n54885 82373\n13180 19849\n28775 43240\n37803 56841\n42872 64388\n88610 100000\n61009 91588\n94463 100000\n71302 100000\n29891 44918\n86727 100000\n97346 100000\n81610 100000\n97202 100000\n58088 87187\n32933 49543\n25542 38393\n46916 70445\n18383 27662\n30352 45605\n37847 56907\n79191 100000\n95006 100000\n85132 100000\n83881 100000\n93281 100000\n85992 100000\n45442 68228\n23006 34596\n35733 53715\n3897 5845\n81498 100000\n62460 93748\n20513 30870\n78305 100000\n24444 36755\n17994 27076\n2112 3183\n41006 61589\n63154 94793\n10150 15286\n26426 39715\n12677 19092\n98980 100000\n40044 60158\n26183 39348\n82871 100000\n77800 100000\n14573 21942\n12843 19344\n6272 9415\n58071 87159\n28149 42292\n18482 27811\n56568 84887\n48395 72685\n8839 13314\n44564 66893\n32679 49160\n47931 71967\n8655 13040\n80020 100000\n19123 28770\n93182 100000\n25475 38300\n76997 100000\n48728 73194\n71542 100000\n15549 23370\n35793 53803\n98077 100000\n45254 67944\n93273 100000\n29371 44140\n74074 100000\n44268 66463\n64446 96686\n28351 42598\n23481 35312\n56442 84705\n9663 14558\n17457 26255\n63502 95297\n56583 84907\n99450 100000\n42681 64110\n16983 25536\n58638 88016\n14777 22251\n30581 45961\n25621 38514\n31995 48116\n79909 100000\n57806 86758\n82565 100000\n34177 51398\n29724 44676\n86120 100000\n64836 97275\n74573 100000\n1568 2369\n82914 100000\n7771 11719\n1621 2450\n89645 100000\n61438 92222\n79818 100000\n87168 100000\n28318 42545\n93519 100000\n10229 15406\n50049 75150\n10098 15207\n13491 20310\n72557 100000\n78624 100000\n50265 75470\n74134 100000\n890 1353\n37067 55740\n87564 100000\n8569 12917\n72379 100000\n81352 100000\n76821 100000\n92126 100000\n23798 35804\n73720 100000\n86312 100000\n46513 69841\n5658 8489\n26035 39123\n14992 22568\n56773 85200\n12514 18852\n94350 100000\n11816 17818\n78966 100000\n51814 77771\n62806 94276\n35857 53900\n95915 100000\n46479 69792\n92621 100000\n83932 100000\n64212 96340\n52218 78389\n50035 75131\n35633 53563\n98110 100000\n97309 100000\n5615 8431\n81901 100000\n80370 100000\n78675 100000\n12998 19580\n57953 86980\n43183 64842\n54823 82284\n28380 42643\n32736 49242\n98613 100000\n5641 8467\n63708 95605\n52970 79510\n97612 100000\n87456 100000\n52076 78173\n58893 88407\n7876 11866\n88618 100000\n20896 31447\n31615 47548\n85204 100000\n19917 29952\n1694 2562\n87158 100000\n49016 73604\n36859 55425\n36552 54967\n53554 80374\n57812 86766\n90923 100000\n21849 32867\n99262 100000\n64092 96165\n68879 100000\n19731 29673\n79564 100000\n68321 100000\n12094 18240\n1960 2961\n71570 100000\n65720 98576\n90851 100000\n37076 55754\n92124 100000\n45150 67780\n6131 9204\n67489 100000\n18130 27285\n82114 100000\n78460 100000\n47096 70698\n61754 92691\n22352 33620\n40332 60585\n72663 100000\n63597 95446\n78273 100000\n50387 75646\n37011 55659\n6729 10121\n84138 100000\n81375 100000\n81658 100000\n70436 100000\n15208 22878\n64228 96364\n53513 80310\n38521 57922\n50146 75288\n60866 91372\n63886 95862\n96598 100000\n75309 100000\n23593 35486\n1061 1604\n76360 100000\n77852 100000\n8640 13019\n30230 45422\n9135 13755\n78128 100000\n87638 100000\n60897 91418\n14417 21714\n48221 72420\n18609 27996\n40689 61123\n93904 100000\n61276 91983\n55723 83640\n77099 100000\n81914 100000\n33192 49928\n71136 100000\n1076 1626\n63867 95838\n81712 100000\n96721 100000\n95151 100000\n76690 100000\n65801 98702\n52117 78240\n20857 31386\n28680 43097\n77089 100000\n60415 90683\n30019 45105\n62694 94106\n14883 22407\n61134 91771\n91723 100000\n92204 100000\n89889 100000\n33446 50297\n61230 91916\n59239 88930\n35486 53341\n47230 70902\n50817 76279\n21346 32110\n80850 100000\n79173 100000\n27070 40679\n5088 7635\n2745 4148\n18752 28218\n32682 49166\n13382 20151\n8075 12170\n85665 100000\n80104 100000\n32644 49112\n39571 59467\n72061 100000\n99151 100000\n8522 12845\n9926 14942\n33377 50192\n28416 42697\n34181 51405\n92312 100000\n32106 48279\n49473 74289\n68683 100000\n19611 29487\n75104 100000\n21753 32722\n27638 41539\n68506 100000\n35699 53663\n15743 23652\n31536 47424\n99671 100000\n94396 100000\n24874 37405\n92995 100000\n10341 15585\n95156 100000\n20366 30646\n7516 11328\n68196 100000\n89874 100000\n57328 86038\n56750 85161\n34328 51617\n76447 100000\n46533 69868\n2066 3114\n49108 73746\n29204 43891\n90736 100000\n13531 20366\n32602 49046\n74377 100000\n64473 96726\n65476 98216\n74431 100000\n14618 22013\n43477 65294\n17185 25838\n11106 16721\n92675 100000\n58301 87514\n64600 96923\n21643 32557\n7855 11833\n45510 68327\n24617 37023\n1818 2757\n86719 100000\n18058 27177\n83855 100000\n71321 100000\n22492 33830\n68425 100000\n48880 73406\n91178 100000\n40223 60427\n66852 100000\n99193 100000\n60854 91355\n61729 92653\n44602 66952\n61587 92441\n63356 95087\n11229 16910\n58373 87622\n91155 100000\n72152 100000\n9784 14734\n9984 15031\n75482 100000\n37616 56558\n75441 100000\n34694 52162\n93184 100000\n78627 100000\n16607 24969\n98649 100000\n5830 8750\n48672 73100\n2078 3132\n49028 73623\n98672 100000\n41694 62627\n2743 4146\n53817 80773\n90734 100000\n31053 46685\n14120 21247\n86967 100000\n94901 100000\n78503 100000\n41682 62609\n81699 100000\n61786 92741\n48731 73198\n94090 100000\n56755 85171\n53024 79586\n69206 100000\n56311 84520\n54043 81110\n31121 46792\n50368 75618\n98280 100000\n2314 3497\n41347 62100\n30830 46337\n60372 90621\n48044 72146\n76639 100000\n8400 12664\n6160 9246\n62713 94132\n80823 100000\n71337 100000\n47214 70875\n84813 100000\n12873 19393\n3819 5733\n27330 41072\n21783 32766\n16891 25396\n11532 17376\n26034 39122\n19365 29128\n44497 66792\n35777 53780\n83151 100000\n35455 53297\n43212 64883\n86569 100000\n69534 100000\n57943 86963\n23428 35233\n25079 37712\n12972 19541\n17619 26505\n73870 100000\n30791 46277\n60933 91472\n22943 34499\n65186 97788\n61313 92034\n83160 100000\n2303 3479\n49042 73646\n5900 8859\n89136 100000\n99467 100000\n31128 46800\n6985 10515\n81371 100000\n61530 92363\n65504 98260\n26233 39423\n58916 88441\n13990 21067\n14911 22447\n12858 19368\n18817 28315\n1074 1623\n8509 12826\n27669 41585\n34351 51651\n99409 100000\n9269 13965\n45884 68889\n80198 100000\n44529 66839\n92759 100000\n32070 48226\n85375 100000\n35517 53388\n48581 72970\n22210 33410\n32764 49288\n95775 100000\n97315 100000\n20541 30911\n53064 79645\n96372 100000\n77411 100000\n33341 50142\n22140 33307\n53739 80649\n40745 61207\n47567 71406\n646 981\n30227 45418\n59016 88594\n84118 100000\n5404 8120\n54844 82314\n68423 100000\n22796 34281\n98820 100000\n69548 100000\n433 651\n94185 100000\n2026 3057\n4842 7269\n98114 100000\n17751 26705\n80272 100000\n10779 16234\n98748 100000\n70751 100000\n109 160\n41469 62289\n41955 63020\n88367 100000\n41418 62210\n75002 100000\n57578 86414\n19339 29087\n40147 60315\n54697 82092\n67394 100000\n57967 87001\n3606 5409\n44745 67164\n27064 40671\n3522 5285\n4821 7238\n79500 100000\n29925 44965\n88483 100000\n45709 68621\n99617 100000\n39718 59688\n7759 11701\n56543 84849\n28175 42331\n16610 24975\n93079 100000\n44884 67372\n89553 100000\n97074 100000\n65531 98297\n93671 100000\n88918 100000\n57072 85656\n20519 30879\n25889 38915\n96691 100000\n40776 61251\n31271 47020\n70973 100000\n45587 68442\n53358 80078\n94496 100000\n79408 100000\n74994 100000\n57264 85943\n3323 5003\n86980 100000\n709 1080\n99488 100000\n24637 37054\n52194 78353\n10030 15101\n92294 100000\n4199 6302\n6251 9380\n662 1006\n76543 100000\n82606 100000\n27406 41190\n48463 72791\n7712 11625\n82894 100000\n84782 100000\n99463 100000\n34692 52159\n68602 100000\n67009 100000\n43957 66013\n40124 60280\n67474 100000\n30805 46297\n42610 64007\n63554 95381\n62196 93349\n51194 76846\n77897 100000\n21966 33045\n42392 63671\n92300 100000\n88829 100000\n98979 100000\n30658 46076\n44974 67520\n1093 1655\n73025 100000\n61338 92072\n98910 100000\n25460 38284\n73834 100000\n62724 94148\n51439 77215\n19034 28643\n48811 73303\n74316 100000\n10420 15705\n67236 100000\n53550 80369\n64263 96419\n16639 25017\n42666 64089\n38896 58478\n72381 100000\n17902 26936\n78451 100000\n26166 39323\n38387 57714\n69995 100000\n15248 22939\n23503 35343\n52061 78154\n70263 100000\n40940 61497\n49685 74609\n57886 86878\n47406 71167\n91402 100000\n59356 89113\n43911 65942\n58707 88123\n6325 9496\n56076 84171\n51341 77072\n18005 27092\n88845 100000\n77414 100000\n69840 100000\n80991 100000\n52658 79049\n65645 98464\n17669 26578\n48825 73326\n54896 82392\n86264 100000\n62318 93536\n65240 97867\n79711 100000\n36147 54343\n46500 69822\n65000 97506\n6389 9601\n97118 100000\n2375 3592\n82249 100000\n44862 67336\n63522 95328\n7366 11097\n34365 51673\n77435 100000\n88534 100000\n68300 100000\n66341 99525\n67967 100000\n67367 100000\n3699 5546\n20117 30267\n65416 98119\n27331 41073\n95976 100000\n72225 100000\n46149 69287\n56297 84497\n24104 36253\n5503 8264\n2483 3755\n25273 38001\n14396 21682\n95791 100000\n97129 100000\n44411 66669\n45678 68574\n83183 100000\n96847 100000\n34822 52361\n22833 34340\n28592 42967\n30709 46160\n26994 40557\n86002 100000\n67717 100000\n42791 64273\n62608 93977\n68561 100000\n5531 8304\n38079 57241\n85280 100000\n62709 94128\n4872 7314\n46952 70494\n67477 100000\n93749 100000\n66283 99439\n17176 25824\n38543 57957\n89001 100000\n10481 15791\n24039 36160\n88506 100000\n77470 100000\n84390 100000\n49546 74402\n88240 100000\n13780 20742\n28110 42236\n52741 79169\n25717 38659\n62945 94478\n27101 40727\n72517 100000\n77478 100000\n57985 87030\n66736 100000\n28842 43346\n88329 100000\n51961 77999\n8921 13435\n42274 63490\n3344 5034\n10428 15718\n71564 100000\n44041 66136\n39106 58791\n35288 53048\n83360 100000\n35889 53947\n8504 12820\n93753 100000\n34816 52352\n16794 25252\n72270 100000\n95115 100000\n16568 24910\n13067 19681\n53866 80849\n60631 91011\n63401 95151\n96383 100000\n45814 68782\n57325 86032\n45483 68293\n27080 40694\n18681 28107\n48167 72339\n83154 100000\n30246 45446\n86296 100000\n72105 100000\n36368 54694\n35055 52700\n89250 100000\n54130 81247\n56298 84498\n15850 23821\n44126 66265\n73922 100000\n25891 38918\n37827 56878\n66388 99598\n38539 57951\n8306 12521\n98445 100000\n97577 100000\n14927 22471\n34800 52325\n5771 8656\n82610 100000\n14375 21652\n82243 100000\n26974 40527\n25359 38125\n62307 93521\n31604 47530\n19638 29528\n43485 65306\n10239 15424\n16652 25037\n73077 100000\n71000 100000\n48570 72954\n6740 10138\n97328 100000\n64583 96897\n10013 15075\n5652 8481\n38091 57259\n26060 39159\n46018 69094\n24877 37409\n32605 49051\n34930 52518\n51195 76847\n89202 100000\n9428 14208\n94408 100000\n6568 9869\n93218 100000\n68432 100000\n60987 91558\n17466 26266\n40870 61393\n28717 43151\n47024 70600\n37433 56287\n74550 100000\n32395 48728\n63362 95094\n11292 17004\n12018 18122\n42996 64573\n22228 33436\n41563 62431\n97130 100000\n45164 67802\n8073 12167\n41956 63022\n52894 79393\n73833 100000\n46166 69315\n18492 27826\n1489 2246\n351 527\n99997 100000\n47808 71773\n89786 100000\n54946 82465\n91409 100000\n28764 43221\n91562 100000\n84606 100000\n39972 60051\n95790 100000\n544 827\n8442 12728\n64704 97079\n90993 100000\n7805 11762\n17582 26445\n30884 46421\n72893 100000\n64431 96664\n78963 100000\n9308 14026\n31158 46845\n33333 50132\n12172 18346\n68756 100000\n4035 6065\n20500 30850\n13559 20410\n72167 100000\n40021 60126\n77129 100000\n48033 72127\n74468 100000\n78588 100000\n57748 86673\n40738 61198\n28340 42580\n48190 72371\n16384 24635\n28271 42475\n75704 100000\n89092 100000\n49371 74141\n85880 100000\n27348 41098\n36028 54159\n25213 37910\n7821 11785\n36712 55205\n50750 76181\n32408 48745\n86228 100000\n11877 17911\n39124 58814\n76723 100000\n77016 100000\n74902 100000\n31033 46655\n39805 59804\n31753 47751\n86530 100000\n7006 10552\n27239 40934\n34948 52542\n59212 88886\n62807 94278\n2117 3192\n91509 100000\n59947 89990\n33559 50467\n2220 3350\n21808 32806\n29427 44228\n45842 68824\n9550 14386\n56788 85222\n29859 44870\n84121 100000\n3459 5195\n49055 73664\n7599 11458\n16651 25036\n11388 17145\n53481 80265\n18701 28137\n60425 90698\n64059 96118\n95231 100000\n1761 2671\n9579 14427\n49673 74592\n85337 100000\n99390 100000\n17262 25955\n66746 100000\n8253 12440\n99036 100000\n64630 96964\n87897 100000\n195 288\n61449 92238\n25040 37653\n979 1483\n99189 100000\n21884 32923\n68341 100000\n80164 100000\n33133 49841\n11683 17615\n76244 100000\n84684 100000\n23967 36056\n66000 99005\n94077 100000\n49886 74911\n99886 100000\n66455 99699\n37995 57123\n55758 83692\n84647 100000\n94503 100000\n82340 100000\n46692 70099\n84234 100000\n32372 48694\n25299 38037\n93293 100000\n51834 77800\n2733 4131\n14009 21092\n58551 87885\n12481 18802\n72195 100000\n28800 43279\n20712 31166\n20335 30598\n18258 27475\n42699 64139\n88668 100000\n89024 100000\n41730 62680\n37008 55654\n77195 100000\n29098 43727\n67518 100000\n22992 34575\n90290 100000\n32007 48131\n66507 99774\n39122 58812\n34532 51911\n39823 59831\n29480 44301\n6570 9872\n94116 100000\n34841 52391\n25666 38582\n87988 100000\n28536 42881\n81447 100000\n66343 99529\n24461 36782\n1096 1659\n99819 100000\n56317 84527\n30036 45128\n7751 11688\n99212 100000\n54881 82367\n47413 71178\n40953 61515\n76691 100000\n29855 44863\n7596 11453\n73799 100000\n95355 100000\n93063 100000\n35574 53475\n53926 80940\n34859 52415\n43772 65739\n64000 96028\n79032 100000\n59264 88968\n13193 19869\n7934 11953\n12833 19330\n80322 100000\n74878 100000\n87554 100000\n71844 100000\n72339 100000\n12665 19074\n82868 100000\n52121 78245\n31925 48007\n33265 50034\n88247 100000\n76163 100000\n54855 82329\n7640 11518\n49868 74883\n86038 100000\n64036 96082\n92648 100000\n71973 100000\n64515 96791\n40246 60459\n38307 57596\n79029 100000\n81732 100000\n98158 100000\n72884 100000\n80778 100000\n2767 4180\n8488 12793\n4630 6949\n84225 100000\n46081 69184\n53760 80681\n90443 100000\n85065 100000\n31219 46943\n33246 50008\n33918 51005\n48906 73443\n42519 63863\n20129 30283\n95875 100000\n66587 99895\n69818 100000\n83284 100000\n48251 72463\n71457 100000\n83639 100000\n84318 100000\n45558 68401\n86013 100000\n69509 100000\n72736 100000\n95930 100000\n25590 38465\n36671 55148\n8441 12726\n501 757\n95542 100000\n57361 86086\n67922 100000\n70844 100000\n60239 90417\n56266 84451\n37759 56777\n22038 33150\n88312 100000\n86559 100000\n16571 24914\n80006 100000\n50539 75871\n22010 33105\n6947 10451\n26238 39431\n12491 18816\n47538 71363\n39653 59592\n68109 100000\n52348 78586\n63583 95427\n7974 12013\n64948 97432\n35936 54017\n76167 100000\n81571 100000\n56944 85459\n18520 27866\n76897 100000\n44728 67135\n92533 100000\n78418 100000\n21648 32564\n51181 76827\n98697 100000\n77092 100000\n3784 5679\n60410 90677\n68200 100000\n27417 41209\n12589 18960\n8571 12921\n16112 24224\n51135 76757\n55229 82891\n53904 80908\n27097 40720\n43505 65334\n50731 76156\n66765 100000\n34268 51530\n9625 14496\n94884 100000\n20835 31355\n31627 47565\n27022 40606\n93032 100000\n41270 61984\n19744 29693\n81360 100000\n84824 100000\n46807 70275\n8289 12496\n51624 77485\n73749 100000\n88856 100000\n89290 100000\n89753 100000\n29280 44003\n45175 67820\n45912 68931\n56594 84923\n34769 52278\n52558 78902\n82396 100000\n38908 58497\n60705 91121\n92505 100000\n58422 87692\n37887 56969\n42126 63263\n30533 45890\n275 411\n15733 23639\n50290 75506\n67626 100000\n98075 100000\n14212 21397\n90718 100000\n3465 5203\n32738 49244\n88515 100000\n63996 96023\n28669 43080\n91635 100000\n66482 99736\n37139 55851\n35818 53843\n40830 61334\n95063 100000\n19488 29311\n58242 87417\n57820 86778\n97420 100000\n89035 100000\n54307 81524\n95379 100000\n21581 32457\n69964 100000\n67894 100000\n18310 27551\n9916 14926\n39604 59516\n29471 44287\n92711 100000\n32746 49257\n44333 66560\n27429 41229\n44975 67522\n88961 100000\n54995 82541\n56909 85407\n65980 98972\n77124 100000\n86242 100000\n80654 100000\n40998 61578\n83698 100000\n95232 100000\n83936 100000\n36288 54572\n72093 100000\n72902 100000\n99612 100000\n26145 39291\n24586 36975\n18760 28230\n64469 96720\n7789 11742\n17787 26761\n4887 7334\n25304 38046\n80887 100000\n79732 100000\n77577 100000\n81809 100000\n50816 76278\n65072 97613\n73472 100000\n66694 100000\n72143 100000\n43276 64986\n52572 78920\n89316 100000\n38242 57497\n49588 74469\n84952 100000\n63841 95800\n76537 100000\n91833 100000\n3505 5259\n84204 100000\n52622 78994\n38954 58569\n34364 51671\n10361 15616\n22086 33224\n62856 94350\n94629 100000\n75801 100000\n90651 100000\n56050 84135\n37356 56173\n97788 100000\n95017 100000\n26204 39382\n30584 45966\n58887 88400\n59780 89742\n56075 84170\n46033 69117\n2539 3833\n17036 25617\n96443 100000\n16019 24082\n37855 56921\n74264 100000\n49993 75068\n48956 73516\n71016 100000\n36505 54900\n67008 100000\n53198 79841\n46064 69158\n23170 34844\n1788 2715\n13813 20794\n96567 100000\n41330 62074\n93573 100000\n14204 21385\n36741 55244\n55122 82732\n52993 79546\n59805 89778\n69281 100000\n64048 96101\n67350 100000\n91548 100000\n29565 44433\n35107 52775\n81262 100000\n77574 100000\n27761 41723\n78964 100000\n42471 63788\n16991 25547\n41799 62786\n81125 100000\n49497 74329\n63629 95490\n90924 100000\n59234 88923\n6015 9027\n51530 77348\n84193 100000\n14205 21387\n8919 13432\n92112 100000\n13264 19971\n35685 53642\n16787 25240\n57659 86538\n47519 71334\n67544 100000\n13361 20123\n49205 73893\n94364 100000\n37568 56491\n89713 100000\n65997 98999\n5521 8290\n38082 57244\n26122 39256\n91578 100000\n71550 100000\n34805 52332\n34759 52261\n11666 17588\n25643 38549\n77149 100000\n71298 100000\n66773 100000\n81489 100000\n37029 55685\n14108 21229\n105 155\n42331 63579\n45123 67740\n40569 60940\n4808 7214\n36551 54966\n11255 16951\n6992 10529\n98413 100000\n6541 9833\n9838 14807\n21232 31940\n78883 100000\n47424 71192\n96181 100000\n13320 20060\n29138 43787\n26342 39588\n29972 45036\n71857 100000\n74372 100000\n9453 14246\n58828 88315\n5663 8496\n51974 78022\n52009 78075\n88923 100000\n5032 7553\n60645 91032\n64174 96287\n25866 38883\n9943 14967\n72053 100000\n37861 56930\n35360 53158\n71020 100000\n25195 37886\n49716 74653\n88012 100000\n60103 90221\n25450 38267\n45961 69004\n23971 36063\n45207 67865\n59899 89915\n53086 79676\n10123 15246\n55356 83086\n75327 100000\n53259 79930\n29574 44447\n77410 100000\n45319 68043\n89472 100000\n88545 100000\n54643 82011\n24103 36252\n42296 63524\n22256 33480\n26414 39694\n6801 10233\n36110 54288\n28769 43230\n42023 63115\n71385 100000\n89745 100000\n20338 30604\n51456 77239\n2913 4398\n4924 7391\n84807 100000\n52234 78414\n98000 100000\n82915 100000\n31507 47378\n81779 100000\n47825 71797\n71079 100000\n48538 72907\n19112 28752\n21791 32778\n57083 85673\n87152 100000\n54215 81373\n63541 95359\n54853 82327\n8749 13177\n34197 51427\n64876 97335\n87471 100000\n54598 81946\n43652 65556\n58815 88293\n15916 23921\n37738 56749\n56785 85217\n39347 59142\n11889 17928\n47131 70750\n30523 45874\n52633 79011\n93422 100000\n88383 100000\n39668 59612\n9863 14846\n65526 98291\n61150 91794\n79242 100000\n370 555\n2394 3621\n91690 100000\n57628 86488\n38845 58404\n63321 95033\n33597 50521\n96447 100000\n8062 12146\n66751 100000\n24521 36876\n30989 46587\n15554 23377\n85338 100000\n94905 100000\n6634 9971\n71949 100000\n38820 58366\n26321 39556\n25194 37884\n76741 100000\n32243 48502\n94251 100000\n69310 100000\n28945 43497\n3378 5087\n5107 7663\n62679 94079\n17601 26477\n66244 99382\n38023 57165\n42011 63101\n60255 90444\n85728 100000\n2505 3785\n33092 49780\n49280 74007\n21508 32344\n46188 69348\n50728 76153\n19716 29651\n65490 98237\n42078 63195\n82657 100000\n56791 85227\n625 952\n88784 100000\n34189 51417\n25489 38321\n88655 100000\n99247 100000\n64423 96651\n37228 55984\n31046 46675\n15039 22640\n36241 54498\n10855 16342\n6108 9169\n32164 48376\n94511 100000\n29928 44970\n25214 37911\n13327 20070\n64176 96290\n33205 49948\n1582 2390\n95448 100000\n85605 100000\n85139 100000\n65004 97510\n97812 100000\n54083 81170\n80185 100000\n98242 100000\n92330 100000\n69823 100000\n52871 79357\n91516 100000\n11381 17134\n59824 89803\n54381 81626\n85269 100000\n41177 61844\n59749 89700\n81650 100000\n37043 55704\n74226 100000\n92930 100000\n57805 86756\n18313 27555\n58722 88147\n31344 47131\n8168 12306\n75504 100000\n51825 77788\n21388 32171\n62246 93430\n6219 9332\n63038 94618\n58361 87604\n4070 6114\n9696 14604\n96746 100000\n48989 73565\n99372 100000\n38602 58040\n82045 100000\n91200 100000\n33572 50486\n17514 26344\n60519 90838\n25689 38616\n10876 16377\n75645 100000\n54368 81607\n65700 98549\n70069 100000\n71145 100000\n75997 100000\n14084 21196\n81232 100000\n88173 100000\n48510 72869\n40232 60440\n9344 14081\n80399 100000\n29581 44458\n72904 100000\n92913 100000\n92530 100000\n80220 100000\n53493 80284\n85218 100000\n61861 92852\n86197 100000\n92326 100000\n91111 100000\n50195 75364\n12856 19364\n21455 32275\n97182 100000\n60532 90858\n93305 100000\n18893 28429\n16095 24198\n87006 100000\n81537 100000\n51035 76604\n92007 100000\n34717 52198\n288 431\n12274 18493\n36424 54778\n32084 48245\n16790 25244\n46379 69640\n2288 3457\n13623 20507\n72331 100000\n49240 73948\n26288 39506\n26680 40084\n70769 100000\n99689 100000\n64843 97285\n55498 83299\n27300 41027\n2762 4172\n64256 96407\n91950 100000\n16386 24637\n20733 31199\n64651 96998\n18042 27152\n30138 45283\n84991 100000\n47074 70670\n62008 93070\n75068 100000\n61947 92981\n85747 100000\n51396 77155\n82392 100000\n92280 100000\n36016 54141\n74623 100000\n47791 71748\n58163 87299\n39741 59717\n62450 93733\n25720 38664\n44544 66864\n37462 56333\n2376 3593\n99876 100000\n67612 100000\n7192 10838\n946 1432\n98760 100000\n15786 23719\n79756 100000\n61133 91770\n73726 100000\n52599 78964\n92603 100000\n89849 100000\n9561 14401\n39136 58828\n97604 100000\n9335 14067\n89291 100000\n23929 36008\n33735 50731\n84575 100000\n42641 64054\n72623 100000\n84817 100000\n2301 3475\n25088 37725\n6074 9116\n24745 37217\n78230 100000\n81322 100000\n32140 48332\n41482 62312\n90856 100000\n41507 62352\n64246 96390\n45234 67908\n84362 100000\n72475 100000\n77832 100000\n76096 100000\n80141 100000\n73624 100000\n90196 100000\n2585 3901\n6106 9165\n15257 22953\n29018 43607\n85963 100000\n63227 94899\n99604 100000\n49009 73594\n10524 15854\n43553 65407\n46971 70520\n691 1052\n67909 100000\n12424 18725\n7238 10905\n70567 100000\n99501 100000\n64516 96793\n73510 100000\n53725 80627\n35019 52646\n98941 100000\n54070 81150\n15509 23317\n15242 22930\n70220 100000\n65943 98916\n70691 100000\n41978 63055\n78589 100000\n91669 100000\n38053 57204\n12105 18253\n96495 100000\n93080 100000\n43375 65141\n74708 100000\n22471 33802\n20514 30871\n6297 9455\n8499 12811\n19355 29111\n14104 21223\n80655 100000\n67947 100000\n33229 49982\n80012 100000\n925 1404\n50409 75679\n82528 100000\n82257 100000\n98670 100000\n79423 100000\n5030 7549\n53977 81015\n47079 70676\n63861 95829\n3063 4621\n32552 48964\n59012 88586\n39468 59320\n60047 90137\n50162 75310\n75323 100000\n51137 76760\n38866 58435\n30331 45574\n98010 100000\n97189 100000\n86367 100000\n51006 76564\n71318 100000\n45846 68830\n85648 100000\n934 1418\n15953 23970\n25281 38013\n14017 21104\n29506 44342\n76766 100000\n58255 87437\n77696 100000\n35926 54003\n75803 100000\n81502 100000\n57013 85565\n89165 100000\n85870 100000\n37212 55958\n63504 95300\n71209 100000\n7610 11472\n60837 91326\n87553 100000\n36966 55587\n78013 100000\n14353 21617\n68325 100000\n49381 74154\n23005 34595\n95000 100000\n2274 3437\n93406 100000\n31502 47371\n75812 100000\n19503 29330\n46304 69527\n68234 100000\n26728 40158\n32101 48271\n41336 62082\n47638 71516\n53715 80611\n83806 100000\n21100 31742\n26405 39681\n74905 100000\n70127 100000\n52011 78078\n1156 1749\n4772 7160\n87268 100000\n79360 100000\n72897 100000\n97406 100000\n13242 19937\n38928 58528\n16989 25543\n2899 4380\n51210 76868\n9188 13836\n87169 100000\n20127 30280\n69073 100000\n5009 7519\n16826 25296\n49731 74675\n5027 7546\n15093 22723\n1791 2718\n66093 99148\n48632 73042\n61511 92332\n71139 100000\n15085 22711\n51805 77758\n15977 24010\n50944 76471\n33569 50482\n4608 6912\n27422 41217\n664 1009\n98372 100000\n23708 35668\n589 896\n71226 100000\n14643 22048\n11171 16822\n62544 93873\n64571 96879\n64863 97317\n3304 4977\n95248 100000\n48384 72669\n86437 100000\n44335 66564\n48582 72972\n35621 53542\n99673 100000\n86009 100000\n73189 100000\n2657 4013\n81776 100000\n43444 65247\n12252 18458\n50390 75651\n84173 100000\n52712 79131\n81138 100000\n19946 29999\n10145 15279\n67531 100000\n75430 100000\n46103 69217\n28644 43048\n94726 100000\n84619 100000\n40633 61040\n37980 57101\n26484 39796\n41805 62795\n62406 93669\n11410 17181\n27457 41270\n77773 100000\n17082 25688\n51479 77275\n38362 57677\n33366 50178\n91515 100000\n34066 51230\n73821 100000\n79044 100000\n87291 100000\n25276 38005\n39754 59735\n54231 81397\n53770 80698\n93488 100000\n84589 100000\n43630 65526\n82014 100000\n24519 36873\n21858 32881\n4827 7247\n37143 55855\n29748 44709\n13617 20496\n87934 100000\n78999 100000\n33299 50081\n36349 54665\n13965 21030\n26402 39678\n8316 12534\n75642 100000\n91843 100000\n6098 9153\n76490 100000\n8657 13042\n18562 27923\n27791 41771\n56264 84447\n20907 31464\n6999 10540\n44856 67327\n72603 100000\n15548 23369\n43038 64632\n77579 100000\n977 1481\n71539 100000\n96061 100000\n26907 40432\n47184 70830\n92051 100000\n61845 92828\n95691 100000\n69269 100000\n33836 50883\n82026 100000\n39876 59906\n49637 74542\n17520 26352\n50542 75874\n11557 17415\n97810 100000\n9814 14775\n74907 100000\n55561 83397\n31287 47043\n35450 53290\n85166 100000\n79771 100000\n97768 100000\n61358 92099\n23475 35303\n64707 97083\n59384 89158\n89038 100000\n60588 90941\n56225 84391\n90265 100000\n33450 50302\n1083 1639\n7982 12026\n91480 100000\n89801 100000\n33573 50488\n45028 67603\n58237 87408\n2010 3033\n85079 100000\n81532 100000\n63934 95933\n44509 66808\n654 990\n83013 100000\n47685 71589\n45060 67650\n25733 38684\n97461 100000\n19968 30035\n43649 65552\n17720 26657\n95461 100000\n67919 100000\n74111 100000\n1697 2568\n91940 100000\n33487 50359\n69063 100000\n22254 33478\n90448 100000\n7800 11756\n73227 100000\n56257 84438\n82422 100000\n30894 46434\n56783 85213\n92623 100000\n77551 100000\n62561 93901\n30737 46203\n50623 75995\n87337 100000\n75433 100000\n16365 24603\n82234 100000\n96 143\n7518 11331\n62490 93787\n1899 2874\n2616 3952\n99709 100000\n65418 98122\n99974 100000\n69395 100000\n4836 7261\n19680 29595\n44661 67038\n139 209\n50798 76252\n21423 32224\n68931 100000\n78082 100000\n2787 4209\n28342 42584\n44297 66509\n1358 2047\n92846 100000\n14586 21966\n71359 100000\n72300 100000\n10004 15060\n94320 100000\n90058 100000\n43686 65607\n72787 100000\n32855 49426\n58878 88385\n56478 84753\n50574 75923\n99557 100000\n844 1282\n62456 93743\n45309 68027\n84406 100000\n52317 78541\n3114 4700\n22845 34357\n88460 100000\n80083 100000\n41403 62186\n75663 100000\n49974 75040\n69473 100000\n99013 100000\n62703 94118\n66731 100000\n80110 100000\n83217 100000\n57900 86901\n69902 100000\n37311 56108\n81507 100000\n18851 28370\n25577 38444\n12476 18796\n90152 100000\n261 391\n70963 100000\n1668 2524\n7574 11416\n50418 75693\n47047 70633\n39038 58692\n91524 100000\n5215 7833\n95326 100000\n87353 100000\n43905 65934\n23552 35418\n71001 100000\n39104 58788\n78691 100000\n71274 100000\n8363 12607\n88670 100000\n28819 43310\n82079 100000\n64866 97323\n11364 17112\n51897 77903\n65548 98323\n59472 89286\n15796 23734\n46134 69261\n30164 45325\n70351 100000\n42263 63474\n40046 60161\n82849 100000\n11702 17646\n35779 53783\n90016 100000\n28853 43362\n20845 31369\n60254 90442\n71543 100000\n25555 38412\n56656 85011\n12429 18733\n55396 83143\n47368 71108\n68929 100000\n56292 84490\n66300 99465\n3306 4979\n59624 89503\n82219 100000\n4187 6282\n51100 76707\n71907 100000\n56692 85064\n15180 22839\n53504 80298\n60127 90257\n96672 100000\n82190 100000\n64903 97375\n24799 37295\n46268 69472\n97521 100000\n56004 84061\n39635 59564\n59669 89573\n71189 100000\n38711 58199\n16090 24189\n47818 71786\n39492 59351\n90357 100000\n11159 16804\n24772 37254\n17203 25868\n6822 10266\n89720 100000\n89080 100000\n30441 45743\n9794 14750\n65535 98303\n40937 61493\n74751 100000\n67419 100000\n57790 86735\n62829 94312\n53965 80996\n22316 33570\n77073 100000\n53350 80069\n95871 100000\n58183 87327\n49935 74983\n84470 100000\n6918 10408\n37399 56237\n12666 19075\n33975 51093\n88207 100000\n76411 100000\n36266 54538\n55988 84036\n50007 75090\n59703 89627\n16104 24210\n92941 100000\n52855 79335\n63328 95044\n43580 65452\n20236 30443\n68988 100000\n11716 17667\n22581 33964\n29675 44596\n58355 87595\n71540 100000\n36811 55347\n10196 15355\n87783 100000\n35561 53455\n54939 82456\n83405 100000\n14172 21333\n70398 100000\n32695 49182\n26607 39971\n22648 34066\n29465 44278\n93077 100000\n76079 100000\n1522 2300\n57223 85889\n60235 90411\n64512 96785\n23648 35571\n15223 22902\n88271 100000\n25319 38065\n7723 11642\n63337 95056\n9999 15053\n27063 40669\n19807 29790\n12095 18241\n91329 100000\n32814 49365\n48802 73291\n65149 97732\n88654 100000\n47961 72017\n26768 40223\n83627 100000\n54181 81324\n69275 100000\n54202 81352\n75621 100000\n21324 32082\n93179 100000\n61033 91622\n5551 8332\n90766 100000\n23095 34733\n61235 91923\n71322 100000\n59337 89084\n13261 19965\n29287 44013\n92478 100000\n84616 100000\n71070 100000\n75332 100000\n63877 95851\n96653 100000\n70597 100000\n52274 78477\n93744 100000\n61098 91720\n66267 99419\n96812 100000\n90716 100000\n39775 59761\n96224 100000\n76656 100000\n83819 100000\n52655 79045\n19541 29390\n54163 81297\n61896 92904\n68580 100000\n13373 20139\n7406 11154\n79189 100000\n38958 58575\n65547 98321\n83059 100000\n35873 53923\n40543 60894\n49843 74840\n15468 23255\n8977 13523\n23116 34764\n25609 38494\n47877 71876\n79445 100000\n90060 100000\n93809 100000\n65111 97671\n18795 28283\n11477 17295\n99660 100000\n54 78\n11534 17379\n92661 100000\n90839 100000\n94104 100000\n54497 81795\n17989 27069\n86833 100000\n62382 93629\n98338 100000\n40032 60142\n99381 100000\n16642 25021\n61437 92221\n5060 7594\n7418 11172\n1884 2853\n25822 38813\n30218 45408\n93784 100000\n44845 67313\n54657 82031\n50700 76108\n94234 100000\n53218 79873\n17586 26452\n68342 100000\n38251 57510\n26818 40300\n50736 76163\n83337 100000\n15580 23420\n95402 100000\n5079 7624\n10464 15767\n64848 97294\n94477 100000\n62726 94152\n88746 100000\n2164 3265\n39722 59694\n66417 99643\n66013 99023\n40974 61546\n18154 27320\n55752 83683\n91814 100000\n96338 100000\n18485 27815\n49123 73769\n67085 100000\n14377 21655\n76060 100000\n42306 63540\n95218 100000\n38054 57205\n99595 100000\n37546 56458\n42931 64478\n22493 33832\n46789 70249\n26282 39498\n46889 70408\n39682 59632\n56120 84232\n78730 100000\n99645 100000\n49391 74169\n83305 100000\n96227 100000\n26018 39099\n31163 46854\n36783 55307\n53157 79782\n72380 100000\n26580 39933\n50577 75927\n14369 21643\n1713 2595\n26263 39468\n22301 33551\n16793 25250\n14553 21914\n44395 66648\n54019 81075\n61249 91946\n89413 100000\n90429 100000\n87239 100000\n14624 22021\n75105 100000\n29815 44802\n16206 24370\n14544 21904\n26218 39402\n68737 100000\n19440 29238\n35860 53903\n17496 26313\n88892 100000\n79911 100000\n94625 100000\n91014 100000\n39307 59080\n92709 100000\n96210 100000\n33913 50996\n56981 85514\n56346 84563\n66978 100000\n94347 100000\n54919 82423\n67310 100000\n83350 100000\n22017 33114\n51774 77711\n49936 74985\n30561 45931\n94596 100000\n83634 100000\n28222 42397\n15070 22689\n56279 84473\n93592 100000\n62772 94225\n48145 72306\n60093 90204\n36716 55212\n51690 77590\n90026 100000\n11217 16891\n55378 83115\n66325 99500\n64950 97435\n21641 32553\n68784 100000\n38150 57353\n19077 28706\n54918 82421\n63062 94660\n47235 70909\n43228 64912\n86838 100000\n68265 100000\n82805 100000\n53888 80883\n27392 41168\n24356 36626\n89338 100000\n63396 95145\n57734 86654\n42453 63762\n46355 69601\n3993 5996\n66944 100000\n98881 100000\n10820 16292\n17569 26427\n53859 80837\n55282 82974\n56047 84129\n36900 55490\n69309 100000\n3715 5574\n14452 21766\n38792 58325\n48339 72601\n48070 72189\n5554 8336\n34347 51646\n89508 100000\n42130 63270\n41596 62478\n64967 97461\n70387 100000\n4381 6573\n72211 100000\n96995 100000\n31254 46996\n96789 100000\n20633 31045\n21143 31804\n62600 93965\n7687 11588\n53813 80767\n80314 100000\n83875 100000\n24238 36457\n40343 60602\n82493 100000\n84738 100000\n28971 43539\n54875 82358\n12846 19350\n26096 39217\n87656 100000\n20428 30739\n20263 30486\n56390 84631\n37363 56183\n20322 30577\n37522 56425\n76541 100000\n86593 100000\n63051 94640\n78070 100000\n28269 42472\n81762 100000\n25532 38377\n50696 76100\n1130 1709\n29051 43659\n28420 42702\n9803 14762\n19941 29990\n5085 7631\n56756 85173\n47783 71737\n63998 96025\n91055 100000\n50850 76330\n81433 100000\n21439 32252\n37194 55930\n24251 36475\n54148 81275\n64858 97308\n82158 100000\n82543 100000\n93783 100000\n82239 100000\n12065 18192\n21855 32877\n52773 79217\n19841 29843\n42029 63126\n9467 14265\n34311 51590\n92750 100000\n2264 3422\n51172 76813\n48083 72205\n4081 6130\n31966 48068\n77266 100000\n14454 21768\n60438 90718\n59415 89204\n64799 97224\n29303 44039\n76548 100000\n16459 24745\n97676 100000\n54838 82307\n14010 21094\n48652 73072\n26583 39937\n4815 7227\n69992 100000\n52204 78370\n42259 63467\n59399 89180\n15613 23470\n92136 100000\n25518 38360\n89543 100000\n82489 100000\n62527 93846\n8324 12545\n72837 100000\n36400 54744\n59332 89075\n16490 24788\n36140 54333\n62914 94437\n21016 31621\n39637 59567\n81738 100000\n78179 100000\n9972 15012\n54699 82096\n17944 27000\n91861 100000\n31167 46861\n69882 100000\n19044 28658\n98658 100000\n31284 47038\n83568 100000\n19271 28988\n15031 22627\n20273 30501\n65544 98317\n97153 100000\n18743 28204\n1672 2528\n76166 100000\n50883 76376\n74057 100000\n95756 100000\n36048 54193\n78097 100000\n63205 94867\n67896 100000\n51237 76907\n95316 100000\n62084 93183\n66429 99660\n21445 32260\n9131 13749\n12902 19437\n73372 100000\n32784 49319\n60511 90826\n53279 79960\n93568 100000\n22174 33357\n56424 84678\n94339 100000\n90007 100000\n99322 100000\n46153 69295\n85713 100000\n99575 100000\n90554 100000\n30889 46427\n63167 94812\n64995 97500\n95309 100000\n41236 61932\n77781 100000\n13529 20363\n20289 30526\n56873 85354\n17894 26924\n34028 51178\n19096 28734\n81075 100000\n53101 79699\n69898 100000\n2904 4386\n57318 86021\n38990 58625\n19645 29537\n80822 100000\n69665 100000\n73463 100000\n79550 100000\n35589 53499\n91444 100000\n89732 100000\n53429 80190\n47092 70692\n53170 79800\n25247 37958\n35275 53027\n28127 42260\n78734 100000\n18016 27111\n46630 70004\n59680 89590\n74386 100000\n46164 69313\n72724 100000\n83967 100000\n66947 100000\n33829 50873\n60043 90130\n80834 100000\n74370 100000\n84180 100000\n56423 84677\n90297 100000\n89495 100000\n19893 29919\n33846 50898\n99110 100000\n74614 100000\n57678 86566\n41338 62085\n30150 45301\n41650 62566\n97190 100000\n34498 51864\n31224 46951\n371 556\n24700 37148\n60086 90195\n84286 100000\n25572 38437\n14341 21600\n15925 23933\n25294 38029\n65011 97521\n31268 47016\n23303 35038\n48823 73322\n58829 88317\n70131 100000\n60228 90400\n45675 68569\n90212 100000\n2315 3499\n32225 48472\n60659 91056\n38576 58002\n27265 40974\n22758 34229\n62670 94067\n92161 100000\n68494 100000\n38267 57531\n32898 49488\n31732 47722\n62720 94141\n90565 100000\n14903 22434\n95203 100000\n38 54\n6573 9877\n83068 100000\n68687 100000\n17900 26932\n97099 100000\n87928 100000\n93583 100000\n66801 100000\n78187 100000\n92970 100000\n57602 86451\n59798 89768\n6373 9579\n8520 12843\n45193 67843\n94520 100000\n78414 100000\n68791 100000\n92333 100000\n3068 4628\n95667 100000\n1893 2866\n42448 63754\n82816 100000\n41621 62522\n19933 29978\n64554 96853\n4970 7455\n81760 100000\n78800 100000\n70651 100000\n38154 57359\n20476 30814\n32292 48575\n13129 19770\n4030 6056\n60326 90554\n91636 100000\n61980 93025\n27909 41940\n40183 60371\n32826 49382\n75884 100000\n57561 86387\n69763 100000\n38213 57448\n71327 100000\n7410 11159\n75747 100000\n35066 52716\n73611 100000\n73968 100000\n1406 2119\n62970 94515\n62330 93551\n98632 100000\n31754 47753\n71224 100000\n53556 80376\n8745 13170\n91945 100000\n86054 100000\n93681 100000\n49048 73654\n45200 67853\n62972 94517\n62029 93104\n46478 69791\n18996 28584\n91418 100000\n70934 100000\n92780 100000\n98702 100000\n92090 100000\n21058 31683\n15981 24017\n1390 2095\n79938 100000\n43855 65864\n26593 39952\n12450 18762\n91147 100000\n13855 20865\n90107 100000\n50655 76040\n8797 13251\n15503 23307\n13887 20912\n92244 100000\n46340 69581\n14106 21225\n96397 100000\n7825 11790\n99998 100000\n73477 100000\n1355 2042\n50188 75352\n76456 100000\n56162 84293\n11934 17997\n23521 35372\n66724 100000\n86079 100000\n74023 100000\n35950 54040\n56869 85348\n53201 79846\n17834 26831\n42329 63576\n16974 25526\n33358 50166\n42255 63461\n6873 10339\n34298 51571\n13923 20966\n49522 74368\n19179 28854\n93591 100000\n45983 69041\n32671 49148\n79712 100000\n29491 44317\n68782 100000\n74380 100000\n30507 45847\n87798 100000\n30049 45146\n33211 49956\n59761 89718\n64511 96784\n56325 84537\n1378 2077\n55236 82901\n21070 31697\n78374 100000\n28624 43019\n62203 93361\n48135 72287\n15592 23440\n84634 100000\n17064 25661\n14411 21704\n17746 26697\n2881 4352\n75476 100000\n52542 78881\n54360 81596\n75708 100000\n57353 86075\n10370 15629\n75681 100000\n32663 49138\n57217 85879\n32969 49600\n84128 100000\n88484 100000\n70986 100000\n5681 8524\n35168 52865\n54728 82139\n8333 12559\n84019 100000\n66008 99017\n24822 37326\n69083 100000\n58151 87281\n89535 100000\n7894 11894\n76946 100000\n11743 17712\n69539 100000\n24072 36206\n37219 55968\n80882 100000\n74860 100000\n37411 56256\n34531 51909\n18653 28062\n59606 89474\n70617 100000\n50347 75589\n28232 42415\n19219 28909\n17297 26012\n41041 61644\n26330 39569\n54968 82497\n3479 5222\n3410 5131\n25502 38339\n51190 76840\n38300 57585\n85565 100000\n14823 22325\n94579 100000\n21477 32303\n66824 100000\n98840 100000\n52094 78204\n7189 10833\n52591 78951\n85465 100000\n44018 66100\n79222 100000\n49498 74330\n21363 32135\n58926 88455\n1817 2756\n50803 76258\n10669 16065\n89633 100000\n39277 59037\n43818 65806\n818 1241\n67686 100000\n69134 100000\n39641 59574\n97119 100000\n22859 34379\n71243 100000\n49656 74568\n9570 14414\n67811 100000\n50427 75707\n93599 100000\n88692 100000\n41733 62685\n27341 41087\n59139 88775\n88034 100000\n2910 4394\n52607 78972\n26275 39486\n88512 100000\n69714 100000\n22547 33908\n46845 70338\n36035 54171\n26131 39270\n29192 43871\n11650 17562\n80442 100000\n88129 100000\n88249 100000\n4954 7433\n86248 100000\n55251 82925\n17922 26967\n15728 23630\n52573 78922\n57202 85855\n35154 52843\n87869 100000\n91936 100000\n17687 26606\n13236 19927\n97532 100000\n91086 100000\n55470 83258\n56141 84261\n80619 100000\n77190 100000\n85039 100000\n16047 24126\n38564 57987\n39601 59511\n61882 92884\n35411 53228\n39817 59822\n98819 100000\n77517 100000\n93730 100000\n50119 75246\n61802 92764\n2342 3540\n50511 75831\n86394 100000\n45919 68940\n20284 30518\n98453 100000\n46622 69993\n34228 51474\n66989 100000\n30650 46065\n62727 94154\n24114 36269\n18132 27287\n52254 78443\n97187 100000\n99292 100000\n634 965\n1155 1747\n9443 14231\n97734 100000\n43150 64793\n38946 58556\n95727 100000\n76194 100000\n14885 22410\n31527 47411\n11313 17037\n7430 11193\n77299 100000\n51357 77095\n55945 83971\n5213 7830\n41833 62835\n9303 14017\n40894 61428\n98111 100000\n39318 59100\n17683 26600\n69138 100000\n5702 8557\n79494 100000\n17458 26256\n11265 16965\n85798 100000\n66112 99180\n93209 100000\n67770 100000\n68454 100000\n15865 23845\n74894 100000\n69253 100000\n38649 58108\n22956 34520\n34326 51614\n15320 23039\n96305 100000\n58263 87452\n50392 75654\n93619 100000\n76219 100000\n72161 100000\n85503 100000\n8098 12201\n60737 91168\n78392 100000\n61906 92921\n79539 100000\n76779 100000\n55392 83137\n2699 4077\n17276 25979\n95256 100000\n91765 100000\n7161 10791\n91202 100000\n9593 14449\n7343 11062\n511 773\n81865 100000\n22651 34072\n82686 100000\n95934 100000\n6096 9149\n4831 7253\n63688 95578\n26844 40342\n80042 100000\n16385 24636\n60065 90162\n40987 61563\n40620 61022\n98034 100000\n72934 100000\n3478 5221\n99168 100000\n85989 100000\n47892 71902\n89459 100000\n61253 91950\n68650 100000\n83139 100000\n83572 100000\n76607 100000\n6279 9425\n61373 92121\n79135 100000\n20477 30816\n39554 59443\n37323 56128\n73906 100000\n12679 19095\n83981 100000\n37981 57103\n36240 54496\n2332 3524\n94638 100000\n19922 29960\n18930 28483\n21476 32302\n80950 100000\n15498 23301\n55354 83082\n51782 77725\n17478 26286\n114 168\n6954 10462\n33200 49940\n38763 58280\n78129 100000\n60841 91333\n75385 100000\n11213 16885\n90834 100000\n30819 46319\n82616 100000\n16115 24230\n93352 100000\n48513 72874\n90460 100000\n91848 100000\n24414 36713\n69838 100000\n62619 93989\n23922 35998\n95704 100000\n66759 100000\n13364 20128\n77062 100000\n90723 100000\n11100 16712\n75538 100000\n90848 100000\n26704 40120\n17147 25781\n86751 100000\n71660 100000\n23542 35402\n62331 93553\n47814 71781\n41958 63025\n92030 100000\n27368 41128\n29863 44876\n24425 36729\n73430 100000\n65973 98961\n27312 41044\n34277 51542\n63986 96007\n49959 75018\n65032 97551\n6982 10511\n11318 17043\n4236 6353\n42707 64149\n50127 75258\n3202 4834\n18279 27508\n42844 64349\n97650 100000\n23662 35593\n85237 100000\n84079 100000\n68806 100000\n11798 17792\n76108 100000\n33052 49720\n68515 100000\n93427 100000\n35454 53295\n36794 55324\n37687 56669\n42965 64528\n28509 42837\n48079 72201\n43770 65736\n11843 17859\n18536 27888\n5976 8971\n89085 100000\n41699 62635\n11077 16677\n64046 96098\n45012 67580\n5202 7815\n60594 90950\n23034 34634\n14227 21419\n77338 100000\n86256 100000\n67036 100000\n68373 100000\n42810 64299\n61649 92536\n59710 89639\n95581 100000\n67087 100000\n24171 36357\n33003 49651\n26524 39852\n44966 67507\n89609 100000\n52182 78333\n21441 32254\n88200 100000\n27904 41932\n81090 100000\n50484 75791\n24749 37222\n54026 81086\n1988 3002\n10824 16297\n33112 49811\n82895 100000\n96741 100000\n15799 23740\n62119 93237\n29131 43777\n47883 71886\n51019 76582\n28855 43366\n63052 94642\n28987 43562\n47179 70823\n72100 100000\n425 640\n79468 100000\n83478 100000\n24805 37304\n61354 92093\n42776 64251\n94409 100000\n18078 27205\n66212 99332\n33687 50656\n94795 100000\n82588 100000\n23833 35861\n58349 87586\n43924 65962\n49193 73875\n37923 57017\n15348 23082\n30630 46037\n51881 77880\n13817 20802\n99865 100000\n19383 29155\n36252 54516\n369 554\n25302 38042\n7693 11598\n72220 100000\n64286 96453\n48330 72590\n18223 27424\n22502 33845\n85095 100000\n38207 57441\n73276 100000\n87990 100000\n25432 38240\n81915 100000\n50202 75374\n60041 90127\n38418 57765\n15206 22874\n17007 25570\n1765 2677\n34978 52587\n81636 100000\n26392 39662\n50566 75912\n26573 39921\n94137 100000\n57112 85717\n81496 100000\n54907 82406\n37543 56454\n46574 69929\n45203 67859\n37784 56814\n77239 100000\n99987 100000\n35673 53621\n66035 99058\n39675 59622\n34897 52474\n47251 70930\n70212 100000\n82860 100000\n49179 73854\n20751 31227\n41793 62775\n69608 100000\n6209 9318\n56501 84787\n5454 8192\n49301 74037\n38100 57272\n21398 32186\n24264 36491\n99789 100000\n21074 31703\n83454 100000\n48588 72980\n18371 27644\n12486 18808\n91732 100000\n98130 100000\n95878 100000\n97560 100000\n74032 100000\n8543 12877\n99862 100000\n25012 37608\n20959 31541\n80356 100000\n27563 41423\n58104 87210\n89655 100000\n82515 100000\n39430 59263\n78787 100000\n42697 64135\n75408 100000\n48822 73320\n76001 100000\n70923 100000\n88757 100000\n10020 15085\n13150 19805\n62935 94465\n62757 94200\n36756 55268\n26487 39800\n1883 2851\n20581 30969\n20943 31517\n30429 45725\n17402 26177\n12812 19296\n3619 5426\n74613 100000\n85971 100000\n1073 1621\n68112 100000\n42922 64465\n8071 12163\n13401 20178\n76762 100000\n2422 3660\n73777 100000\n57469 86247\n99298 100000\n12864 19377\n43667 65582\n35421 53245\n90962 100000\n82334 100000\n73722 100000\n81629 100000\n85087 100000\n20238 30447\n89448 100000\n43007 64587\n43950 66002\n54801 82252\n62725 94150\n68128 100000\n82184 100000\n51670 77557\n20269 30496\n68135 100000\n15541 23358\n57733 86653\n84533 100000\n68162 100000\n20792 31288\n58800 88271\n83218 100000\n80971 100000\n64363 96563\n90758 100000\n34139 51340\n45367 68117\n60925 91460\n19672 29581\n56396 84639\n55795 83750\n19025 28629\n85837 100000\n67694 100000\n84925 100000\n6078 9122\n58415 87681\n15611 23467\n72048 100000\n80475 100000\n73120 100000\n22413 33708\n45183 67831\n3916 5878\n51856 77834\n84184 100000\n47669 71565\n98354 100000\n81391 100000\n75076 100000\n18469 27794\n51274 76966\n2791 4215\n38666 58133\n51612 77467\n28490 42807\n90362 100000\n23300 35034\n36041 54181\n25995 39069\n10398 15668\n41186 61857\n99191 100000\n65602 98402\n59730 89669\n4086 6135\n32698 49187\n74355 100000\n30908 46459\n7812 11772\n49641 74548\n68530 100000\n5076 7620\n15183 22842\n59069 88674\n52743 79171\n91768 100000\n63804 95743\n93523 100000\n12483 18804\n85534 100000\n2116 3191\n90437 100000\n93880 100000\n62249 93434\n52561 78906\n12997 19579\n15032 22628\n93173 100000\n1005 1521\n56000 84055\n2053 3093\n30504 45841\n66314 99484\n45816 68785\n62375 93620\n73213 100000\n27382 41151\n8464 12759\n78598 100000\n85429 100000\n62776 94231\n14125 21257\n35591 53501\n47697 71608\n33585 50506\n85238 100000\n19414 29203\n55884 83878\n50241 75435\n16754 25188\n90672 100000\n24882 37415\n19998 30080\n86552 100000\n45423 68199\n88193 100000\n82400 100000\n98530 100000\n77083 100000\n33909 50991\n15406 23165\n79669 100000\n806 1223\n91096 100000\n66257 99400\n90154 100000\n57829 86793\n84363 100000\n1938 2928\n1354 2041\n77521 100000\n58933 88468\n96133 100000\n73995 100000\n83219 100000\n38913 58503\n43133 64767\n35643 53577\n70951 100000\n24999 37590\n94562 100000\n3292 4957\n8133 12254\n42075 63191\n13200 19879\n95040 100000\n6472 9732\n69919 100000\n41936 62993\n20520 30880\n83466 100000\n25497 38331\n66401 99617\n23291 35020\n54501 81801\n27423 41218\n26132 39272\n92396 100000\n48341 72603\n60221 90389\n97547 100000\n75299 100000\n19278 28998\n74954 100000\n24918 37468\n32727 49229\n66868 100000\n45720 68637\n93297 100000\n71051 100000\n4005 6017\n78991 100000\n56596 84925\n20734 31200\n96637 100000\n47088 70686\n23258 34968\n15640 23507\n45306 68022\n1966 2971\n8455 12746\n99451 100000\n69924 100000\n46007 69079\n54912 82414\n92299 100000\n39461 59309\n64596 96916\n6986 10517\n27152 40803\n53953 80977\n66266 99418\n33398 50226\n61126 91759\n30090 45212\n83457 100000\n87896 100000\n27673 41589\n50156 75303\n10294 15511\n7231 10893\n49256 73974\n62389 93642\n88166 100000\n12029 18139\n81972 100000\n29778 44751\n41424 62221\n71701 100000\n23802 35811\n68127 100000\n21104 31746\n23039 34643\n55298 83000\n26859 40364\n72350 100000\n88604 100000\n70506 100000\n38004 57135\n91577 100000\n91774 100000\n5699 8551\n38874 58447\n60573 90917\n60964 91523\n38499 57888\n63111 94733\n45318 68041\n98959 100000\n70390 100000\n85413 100000\n76995 100000\n79053 100000\n98071 100000\n90335 100000\n69424 100000\n2810 4243\n10077 15174\n78542 100000\n33453 50306\n846 1285\n88717 100000\n6380 9588\n8439 12723\n86443 100000\n68404 100000\n95122 100000\n57901 86903\n58733 88164\n28180 42339\n12302 18537\n74371 100000\n42715 64162\n37742 56753\n45025 67599\n93361 100000\n35958 54049\n20370 30652\n36968 55590\n65078 97621\n39239 58976\n28938 43486\n2950 4451\n13246 19943\n70543 100000\n83606 100000\n2435 3680\n84392 100000\n97116 100000\n3971 5965\n79083 100000\n33019 49673\n867 1316\n74674 100000\n70322 100000\n31506 47376\n96945 100000\n87827 100000\n82362 100000\n65303 97959\n30685 46124\n44281 66485\n12850 19355\n30479 45801\n19004 28598\n3211 4846\n64697 97067\n19720 29656\n28830 43328\n49349 74108\n55701 83609\n50847 76325\n78339 100000\n16466 24754\n7557 11391\n39587 59489\n46523 69855\n88775 100000\n41294 62021\n53687 80568\n52966 79504\n65034 97553\n75483 100000\n81954 100000\n59785 89748\n53667 80539\n77475 100000\n3967 5958\n985 1491\n60862 91367\n9264 13957\n79156 100000\n26071 39177\n81097 100000\n38831 58384\n60163 90307\n12981 19555\n44710 67111\n1539 2326\n82131 100000\n19520 29357\n60534 90860\n84196 100000\n14999 22578\n91233 100000\n38104 57279\n23156 34824\n47351 71083\n20558 30934\n86644 100000\n18892 28428\n54941 82458\n23931 36012\n99712 100000\n52878 79368\n87686 100000\n643 976\n47928 71962\n64061 96120\n35627 53552\n33543 50443\n55161 82794\n26102 39227\n56447 84711\n84298 100000\n39816 59820\n77742 100000\n69571 100000\n77795 100000\n47491 71297\n50234 75426\n91093 100000\n83373 100000\n25434 38243\n68984 100000\n67565 100000\n72759 100000\n35539 53422\n84500 100000\n99373 100000\n61447 92235\n4021 6040\n30853 46373\n47119 70733\n9145 13770\n53890 80887\n37540 56450\n13293 20020\n48378 72658\n61003 91579\n15568 23400\n36014 54138\n75458 100000\n91580 100000\n42309 63544\n11125 16752\n83786 100000\n52996 79549\n11167 16816\n44770 67205\n79681 100000\n79183 100000\n16180 24328\n72349 100000\n26257 39460\n41992 63076\n83289 100000\n72566 100000\n48504 72859\n31591 47510\n71845 100000\n45801 68762\n87505 100000\n73903 100000\n76635 100000\n38592 58025\n35104 52771\n49122 73768\n57026 85584\n12083 18222\n96382 100000\n40421 60717\n65732 98594\n98410 100000\n90387 100000\n87718 100000\n89595 100000\n59551 89398\n69432 100000\n92261 100000\n99315 100000\n398 596\n55745 83672\n52869 79353\n90585 100000\n12611 18991\n57539 86355\n76327 100000\n55688 83588\n8592 12950\n61946 92979\n61268 91972\n61127 91761\n3674 5510\n37441 56301\n57563 86389\n92701 100000\n80150 100000\n3265 4922\n69566 100000\n63456 95230\n12599 18974\n13175 19841\n73217 100000\n97958 100000\n93443 100000\n28752 43204\n85655 100000\n67959 100000\n38303 57591\n36697 55184\n92947 100000\n74752 100000\n23871 35921\n71643 100000\n3524 5289\n90295 100000\n59118 88743\n56286 84481\n70393 100000\n42544 63899\n18909 28452\n97961 100000\n40747 61209\n65539 98308\n16868 25358\n93526 100000\n6721 10111\n52514 78836\n50868 76352\n65878 98817\n42222 63409\n354 530\n66687 100000\n9117 13728\n36401 54746\n66776 100000\n88257 100000\n81734 100000\n65341 98013\n30232 45426\n49523 74370\n84181 100000\n21213 31911\n30154 45307\n46155 69297\n31953 48049\n26033 39120\n58450 87735\n98301 100000\n66472 99725\n18630 28025\n60914 91445\n77022 100000\n93537 100000\n56607 84940\n9721 14639\n99783 100000\n72282 100000\n63240 94918\n25523 38366\n94001 100000\n72681 100000\n59717 89649\n79874 100000\n85141 100000\n28136 42272\n48832 73339\n25172 37850\n53149 79769\n96942 100000\n44251 66438\n68381 100000\n89292 100000\n92822 100000\n36292 54577\n90620 100000\n92638 100000\n64342 96532\n31232 46962\n16627 25001\n71946 100000\n52380 78641\n75600 100000\n65807 98711\n8356 12594\n61552 92392\n56681 85047\n26425 39713\n37666 56638\n14670 22089\n57278 85964\n24067 36198\n51809 77763\n80397 100000\n73212 100000\n13064 19675\n5581 8374\n92214 100000\n6318 9483\n84868 100000\n58996 88561\n39663 59606\n35584 53490\n59436 89234\n69753 100000\n29498 44329\n32804 49351\n52623 78995\n70298 100000\n78425 100000\n4322 6481\n37919 57012\n72922 100000\n55883 83876\n51597 77447\n31299 47064\n69097 100000\n12879 19403\n77771 100000\n33899 50977\n32599 49042\n43656 65562\n19873 29889\n65643 98462\n9392 14155\n65302 97957\n13590 20457\n60441 90724\n14068 21175\n70560 100000\n50191 75358\n59561 89413\n79272 100000\n10843 16325\n35807 53826\n95076 100000\n22014 33110\n77526 100000\n48643 73057\n45689 68595\n88495 100000\n53526 80332\n6646 9994\n47616 71480\n48716 73173\n66453 99695\n39973 60052\n11913 17963\n31112 46776\n78054 100000\n17406 26183\n50670 76064\n15502 23306\n86096 100000\n43059 64659\n90067 100000\n72271 100000\n48587 72979\n80505 100000\n74446 100000\n5211 7828\n76269 100000\n78946 100000\n90470 100000\n1942 2935\n90685 100000\n94570 100000\n25568 38430\n35076 52730\n33457 50313\n26754 40203\n12595 18968\n28504 42828\n34428 51762\n23460 35279\n37084 55768\n65452 98178\n76996 100000\n48638 73051\n32 44\n84716 100000\n681 1037\n19171 28841\n87431 100000\n31792 47808\n6233 9350\n73171 100000\n71823 100000\n58666 88059\n69639 100000\n57781 86724\n86010 100000\n45082 67679\n56540 84845\n1363 2055\n74334 100000\n11353 17094\n35493 53350\n28037 42127\n50220 75404\n76596 100000\n12876 19399\n30079 45193\n88657 100000\n35150 52837\n77327 100000\n4020 6038\n92135 100000\n95447 100000\n91996 100000\n71575 100000\n67562 100000\n83119 100000\n2158 3255\n18515 27860\n68048 100000\n37665 56637\n3901 5851\n33255 50022\n16678 25079\n983 1488\n84096 100000\n98181 100000\n13925 20968\n31843 47884\n81593 100000\n91332 100000\n47061 70652\n25976 39040\n82624 100000\n9603 14464\n43048 64644\n90477 100000\n96595 100000\n98699 100000\n17563 26417\n69990 100000\n55385 83125\n24666 37099\n30337 45581\n83946 100000\n3636 5451\n69471 100000\n12261 18472\n12588 18959\n10095 15202\n3767 5652\n43990 66062\n20598 30996\n45192 67841\n44590 66933\n1044 1583\n64867 97324\n82300 100000\n27542 41393\n34344 51642\n26807 40284\n21344 32108\n6905 10391\n82302 100000\n72090 100000\n2571 3882\n67172 100000\n68396 100000\n62021 93094\n90482 100000\n89315 100000\n7246 10916\n23164 34834\n17196 25855\n99236 100000\n45995 69059\n82954 100000\n2417 3652\n12277 18499\n28988 43564\n80618 100000\n37873 56950\n90407 100000\n54027 81088\n98695 100000\n61535 92368\n46396 69664\n97243 100000\n22407 33698\n72213 100000\n97985 100000\n32183 48406\n14435 21740\n91423 100000\n76279 100000\n86141 100000\n51376 77124\n92221 100000\n7965 11998\n22415 33712\n7908 11914\n98399 100000\n52448 78739\n12389 18671\n54341 81571\n53691 80575\n80973 100000\n88704 100000\n86969 100000\n46605 69969\n73178 100000\n93876 100000\n283 424\n55772 83713\n66627 99956\n81670 100000\n85313 100000\n59936 89973\n55977 84021\n57655 86532\n44242 66426\n12564 18924\n70938 100000\n82754 100000\n15072 22691\n81880 100000\n25078 37711\n88165 100000\n78804 100000\n85745 100000\n29744 44705\n3672 5508\n24299 36543\n42833 64332\n43076 64686\n36926 55528\n53156 79781\n686 1045\n18082 27210\n97807 100000\n6226 9340\n72140 100000\n16355 24590\n47402 71162\n87331 100000\n76707 100000\n791 1200\n62660 94051\n83500 100000\n33305 50089\n74951 100000\n12871 19389\n68856 100000\n67329 100000\n70068 100000\n53340 80054\n65296 97947\n35502 53364\n48464 72793\n78639 100000\n37318 56118\n13069 19685\n75261 100000\n17605 26485\n89765 100000\n1673 2530\n48048 72154\n63013 94584\n6521 9805\n68431 100000\n73632 100000\n66160 99254\n27624 41516\n17998 27082\n760 1154\n13919 20960\n69597 100000\n66204 99319\n20769 31252\n36268 54542\n88996 100000\n73404 100000\n90179 100000\n9487 14294\n58565 87911\n90220 100000\n26795 40263\n32946 49565\n1515 2288\n62771 94223\n76154 100000\n98996 100000\n70722 100000\n25900 38933\n17489 26303\n86571 100000\n89178 100000\n39367 59172\n55013 82566\n5193 7803\n79130 100000\n93826 100000\n74384 100000\n60268 90466\n65239 97865\n1372 2069\n1778 2698\n58856 88352\n99 147\n25686 38611\n64941 97424\n27817 41808\n85484 100000\n77572 100000\n78869 100000\n92626 100000\n95961 100000\n61556 92398\n83228 100000\n16368 24609\n68232 100000\n74268 100000\n76152 100000\n22734 34191\n75478 100000\n76527 100000\n22040 33152\n44448 66724\n21440 32253\n10540 15874\n15947 23964\n21599 32486\n45722 68641\n47621 71487\n2276 3440\n22689 34122\n7228 10889\n51065 76650\n76974 100000\n9214 13875\n87704 100000\n28645 43049\n17113 25730\n13914 20951\n99980 100000\n22870 34396\n45858 68849\n4722 7085\n75339 100000\n81369 100000\n3576 5363\n23168 34840\n86925 100000\n14449 21761\n25113 37763\n99288 100000\n97485 100000\n44433 66702\n35940 54024\n21210 31907\n63776 95705\n72159 100000\n66261 99408\n37249 56013\n73442 100000\n68236 100000\n39717 59687\n1634 2472\n33713 50698\n47592 71440\n58990 88552\n22713 34161\n25718 38660\n37494 56380\n21564 32426\n64701 97074\n10227 15403\n95963 100000\n27159 40811\n1770 2684\n64550 96847\n19031 28638\n60102 90219\n87840 100000\n28178 42336\n98978 100000\n85292 100000\n59421 89213\n71633 100000\n14888 22414\n20851 31377\n58350 87587\n24891 37429\n66080 99131\n99772 100000\n4981 7473\n79309 100000\n59192 88855\n16103 24209\n43216 64890\n70165 100000\n21721 32675\n57289 85981\n21940 33004\n9800 14758\n7684 11583\n62228 93403\n66428 99659\n98894 100000\n54659 82034\n34698 52169\n6071 9111\n16208 24372\n49419 74211\n62080 93178\n18270 27496\n31423 47251\n15221 22899\n60529 90854\n58236 87406\n50081 75195\n6797 10227\n97972 100000\n74633 100000\n91261 100000\n90337 100000\n25953 39008\n60081 90187\n97318 100000\n79406 100000\n80302 100000\n91907 100000\n34591 51998\n61522 92349\n10290 15506\n47895 71908\n59144 88782\n54340 81570\n54315 81537\n92546 100000\n75919 100000\n624 950\n28562 42920\n31892 47958\n50561 75903\n76355 100000\n76448 100000\n63808 95748\n52924 79440\n58122 87238\n10261 15456\n85697 100000\n53671 80546\n96177 100000\n47056 70644\n67625 100000\n67264 100000\n89730 100000\n21585 32463\n22117 33272\n97663 100000\n12159 18328\n75230 100000\n49129 73780\n52193 78351\n6957 10468\n41395 62173\n99443 100000\n83574 100000\n46252 69446\n48909 73448\n47169 70808\n45274 67973\n60540 90869\n73155 100000\n92093 100000\n45951 68989\n71782 100000\n88006 100000\n82861 100000\n41586 62465\n2721 4112\n44055 66158\n89538 100000\n8652 13037\n32910 49508\n3297 4965\n72715 100000\n64726 97112\n8863 13346\n24240 36459\n62761 94205\n67148 100000\n98324 100000\n95952 100000\n40456 60769\n54660 82035\n64607 96933\n29635 44534\n72661 100000\n8791 13242\n13600 20470\n41935 62991\n77982 100000\n49119 73763\n954 1444\n15968 23993\n32393 48725\n91956 100000\n153 227\n97819 100000\n974 1476\n81480 100000\n84566 100000\n63957 95969\n62894 94407\n60683 91090\n27472 41291\n4929 7399\n50251 75450\n11088 16693\n52706 79122\n20409 30710\n44213 66389\n14533 21887\n3061 4619\n4392 6592\n80937 100000\n25910 38946\n446 672\n23892 35955\n52133 78261\n42954 64513\n84299 100000\n13056 19664\n98256 100000\n8142 12270\n53992 81037\n15779 23709\n5373 8074\n3529 5296\n53522 80324\n4582 6876\n69713 100000\n25269 37994\n51402 77166\n38797 58333\n87206 100000\n83357 100000\n71584 100000\n62615 93985\n701 1067\n89362 100000\n51751 77678\n79697 100000\n58643 88023\n52694 79106\n23747 35727\n37749 56764\n37584 56513\n13523 20354\n29857 44867\n89831 100000\n49352 74113\n19852 29859\n65676 98514\n65844 98764\n46239 69424\n73148 100000\n11111 16730\n70094 100000\n26362 39620\n61344 92081\n85639 100000\n23202 34888\n69271 100000\n83362 100000\n55363 83095\n13873 20890\n97911 100000\n6189 9288\n65790 98683\n79274 100000\n84628 100000\n3612 5416\n99666 100000\n77631 100000\n34150 51357\n36315 54614\n81900 100000\n93888 100000\n70383 100000\n82840 100000\n13781 20743\n31851 47900\n4792 7190\n75342 100000\n19122 28768\n279 418\n2793 4218\n35597 53511\n65693 98538\n27966 42029\n90122 100000\n47998 72073\n91789 100000\n25802 38782\n53278 79958\n60754 91194\n67149 100000\n11008 16574\n40798 61284\n39252 58998\n31080 46723\n42006 63095\n62862 94359\n96060 100000\n29641 44545\n11748 17719\n66353 99543\n82137 100000\n23576 35461\n44211 66386\n69237 100000\n51554 77383\n15005 22588\n64236 96376\n39936 59996\n84169 100000\n13271 19983\n36136 54327\n49062 73676\n85023 100000\n34487 51848\n89029 100000\n11124 16750\n62470 93761\n30556 45924\n19475 29292\n77491 100000\n91459 100000\n29235 43939\n93117 100000\n81897 100000\n18906 28448\n46914 70443\n7646 11526\n45776 68723\n88565 100000\n78996 100000\n55220 82880\n13014 19604\n73660 100000\n39623 59545\n53867 80851\n77055 100000\n889 1352\n55486 83279\n6466 9723\n35573 53474\n81685 100000\n10325 15561\n48696 73142\n95446 100000\n5486 8238\n68051 100000\n31847 47892\n22700 34138\n65312 97974\n62506 93811\n12434 18739\n21513 32351\n29522 44365\n26672 40070\n24789 37279\n50215 75398\n28460 42760\n38632 58085\n42518 63862\n97733 100000\n10734 16167\n94564 100000\n84754 100000\n53117 79721\n76394 100000\n2558 3861\n71629 100000\n80752 100000\n53284 79967\n50711 76124\n77751 100000\n32867 49444\n40288 60520\n9122 13735\n39774 59760\n67081 100000\n16542 24869\n12477 18797\n9787 14739\n69397 100000\n21608 32501\n8748 13175\n58747 88186\n28402 42678\n59640 89527\n97731 100000\n89172 100000\n4845 7274\n17456 26253\n18015 27109\n38744 58251\n68472 100000\n66840 100000\n62269 93464\n47720 71642\n99120 100000\n14804 22294\n47750 71687\n2408 3640\n49148 73806\n27903 41931\n28254 42449\n16484 24780\n22084 33221\n48944 73500\n57014 85567\n16575 24920\n68114 100000\n32522 48923\n70349 100000\n52742 79170\n89717 100000\n96760 100000\n12686 19105\n65033 97552\n73219 100000\n81337 100000\n88027 100000\n97452 100000\n24282 36520\n84034 100000\n47288 70986\n95881 100000\n94575 100000\n83851 100000\n51436 77212\n72617 100000\n95143 100000\n55061 82634\n39732 59706\n26753 40201\n15299 23008\n75130 100000\n69454 100000\n32901 49494\n88378 100000\n91784 100000\n40532 60877\n29710 44652\n41198 61875\n10382 15647\n89818 100000\n17312 26036\n81063 100000\n43963 66022\n21828 32835\n61852 92838\n42993 64569\n31478 47338\n86194 100000\n88209 100000\n1593 2408\n70733 100000\n92757 100000\n56763 85186\n52916 79428\n34508 51877\n18073 27197\n41883 62914\n37241 56003\n76619 100000\n85355 100000\n2243 3388\n10474 15782\n71981 100000\n33350 50156\n76600 100000\n13300 20029\n54727 82137\n29985 45056\n29926 44966\n16114 24228\n66090 99144\n65561 98338\n9908 14914\n59678 89587\n14852 22364\n97302 100000\n40851 61361\n17776 26745\n91098 100000\n93335 100000\n92932 100000\n36969 55592\n48315 72568\n52013 78081\n57410 86159\n86692 100000\n66767 100000\n3676 5513\n94152 100000\n67229 100000\n31662 47618\n5334 8021\n13745 20688\n1854 2812\n72180 100000\n89533 100000\n99439 100000\n77926 100000\n38899 58483\n41282 62003\n58421 87691\n17189 25846\n75551 100000\n85617 100000\n88890 100000\n8997 13554\n35102 52769\n61863 92855\n12313 18556\n22610 34009\n29725 44678\n10084 15184\n382 570\n71510 100000\n66337 99519\n50716 76132\n35323 53103\n63246 94928\n29934 44980\n83445 100000\n193 285\n74927 100000\n8734 13151\n58205 87357\n42873 64390\n28580 42949\n78276 100000\n84365 100000\n83887 100000\n28637 43039\n53035 79602\n66897 100000\n74711 100000\n61422 92194\n17600 26476\n4112 6172\n35521 53395\n54353 81586\n22336 33599\n61457 92249\n18712 28154\n5150 7733\n73439 100000\n74995 100000\n5618 8436\n28914 43451\n47177 70819\n62699 94112\n99020 100000\n44419 66683\n86679 100000\n79193 100000\n8945 13472\n71831 100000\n68038 100000\n35138 52822\n11894 17936\n10972 16521\n54994 82539\n24369 36647\n98012 100000\n49437 74236\n95094 100000\n7782 11733\n68117 100000\n18327 27577\n72995 100000\n15707 23604\n3731 5597\n54658 82032\n3796 5697\n68939 100000\n78224 100000\n52563 78909\n10568 15914\n36003 54121\n6888 10362\n17174 25822\n22835 34343\n87959 100000\n30587 45970\n99674 100000\n2644 3996\n38282 57556\n49847 74847\n46897 70420\n89922 100000\n6890 10366\n52968 79507\n70989 100000\n53727 80630\n21665 32587\n45601 68463\n38959 58577\n95576 100000\n11986 18074\n97738 100000\n55751 83682\n93668 100000\n89605 100000\n5924 8895\n52341 78576\n20593 30990\n39902 59945\n26307 39533\n26998 40565\n87040 100000\n91094 100000\n95126 100000\n35776 53779\n63340 95061\n65293 97942\n17973 27043\n70488 100000\n67068 100000\n6093 9144\n58271 87462\n53731 80637\n19715 29650\n70988 100000\n56521 84817\n98763 100000\n30382 45654\n17418 26199\n82449 100000\n41949 63011\n27933 41976\n39983 60070\n71906 100000\n44644 67013\n61768 92711\n24770 37250\n14665 22083\n30396 45675\n35344 53133\n4107 6166\n88672 100000\n37061 55730\n50966 76502\n84910 100000\n6825 10271\n92106 100000\n51042 76615\n98436 100000\n78609 100000\n13123 19761\n16031 24099\n46737 70165\n29466 44279\n43953 66007\n60321 90546\n58573 87923\n25163 37835\n71753 100000\n98895 100000\n41467 62286\n36801 55331\n58720 88143\n10806 16272\n77155 100000\n41100 61732\n93794 100000\n22526 33880\n7483 11278\n22023 33125\n75493 100000\n22015 33112\n27112 40742\n44829 67291\n7412 11162\n40072 60199\n80017 100000\n99344 100000\n18142 27304\n62984 94536\n77865 100000\n95942 100000\n9597 14455\n44768 67202\n24378 36658\n88531 100000\n8818 13283\n35891 53950\n7998 12054\n84726 100000\n58786 88249\n61336 92069\n85929 100000\n23337 35094\n76205 100000\n23490 35325\n906 1374\n81782 100000\n50157 75304\n25556 38413\n54776 82216\n86505 100000\n97491 100000\n97229 100000\n60604 90965\n24517 36870\n22515 33863\n24489 36827\n54428 81695\n90391 100000\n99500 100000\n50397 75662\n52421 78703\n58943 88484\n98129 100000\n23488 35321\n1313 1978\n9074 13664\n67781 100000\n97155 100000\n7672 11565\n35412 53230\n46423 69703\n67954 100000\n65035 97554\n92630 100000\n46718 70135\n62658 94048\n89177 100000\n15214 22888\n84592 100000\n80443 100000\n83032 100000\n87122 100000\n53984 81025\n52820 79283\n56232 84402\n73856 100000\n93548 100000\n30528 45881\n421 633\n50505 75820\n4974 7463\n16495 24795\n34021 51167\n13574 20432\n59382 89154\n7318 11023\n87174 100000\n98787 100000\n89626 100000\n39649 59584\n48509 72867\n20155 30320\n6190 9289\n69899 100000\n77945 100000\n2929 4421\n95354 100000\n72043 100000\n61717 92636\n9855 14832\n25944 38995\n20669 31099\n42994 64571\n32712 49209\n71069 100000\n35674 53623\n46741 70172\n46467 69774\n27246 40944\n82349 100000\n4774 7163\n82692 100000\n25132 37789\n13151 19807\n11164 16811\n40530 60873\n50433 75716\n87839 100000\n76865 100000\n69384 100000\n85871 100000\n76937 100000\n73677 100000\n61636 92514\n50857 76339\n9029 13599\n30995 46596\n73579 100000\n74461 100000\n86953 100000\n48658 73080\n6502 9776\n92983 100000\n99543 100000\n38929 58530\n26541 39878\n42582 63961\n20713 31168\n15582 23423\n35384 53190\n58645 88026\n22646 34062\n87683 100000\n1986 2999\n94581 100000\n30752 46224\n76840 100000\n3670 5504\n33827 50871\n96373 100000\n16215 24383\n73876 100000\n81822 100000\n67794 100000\n93902 100000\n74157 100000\n22773 34248\n24619 37026\n76253 100000\n41247 61951\n28687 43109\n35190 52900\n42868 64383\n85860 100000\n88190 100000\n27053 40655\n36947 55559\n97094 100000\n45695 68603\n4350 6526\n36040 54179\n194 286\n28887 43407\n50075 75188\n72528 100000\n16527 24847\n79642 100000\n38574 57999\n57346 86065\n64914 97388\n1343 2025\n34977 52586\n26953 40499\n53630 80486\n48118 72259\n32058 48208\n61711 92629\n8962 13500\n650 985\n87576 100000\n43205 64873\n4546 6819\n62175 93320\n22949 34510\n19988 30068\n4137 6208\n69199 100000\n85739 100000\n7642 11521\n86023 100000\n38355 57670\n82307 100000\n57377 86111\n3039 4585\n24288 36528\n8898 13400\n26604 39967\n70838 100000\n91763 100000\n69457 100000\n85043 100000\n11741 17709\n4422 6636\n35298 53063\n2347 3549\n26675 40075\n3183 4802\n53902 80905\n73708 100000\n58491 87795\n76949 100000\n41552 62416\n65594 98390\n94559 100000\n5293 7960\n21960 33035\n51668 77555\n12683 19101\n52200 78364\n22314 33568\n34633 52060\n65060 97595\n21719 32671\n81100 100000\n79743 100000\n7633 11505\n94526 100000\n62465 93754\n83157 100000\n28933 43478\n60632 91013\n34407 51731\n71556 100000\n38938 58543\n61948 92983\n80365 100000\n57648 86522\n25737 38690\n78920 100000\n86105 100000\n77732 100000\n89647 100000\n44961 67498\n80259 100000\n82203 100000\n65741 98608\n74740 100000\n69805 100000\n20131 30286\n57163 85796\n14370 21644\n29747 44708\n19409 29194\n74890 100000\n44669 67052\n88894 100000\n10547 15883\n81805 100000\n92885 100000\n98968 100000\n11365 17113\n56678 85043\n67960 100000\n19410 29196\n83559 100000\n60141 90279\n65422 98128\n83745 100000\n44969 67512\n10814 16281\n88210 100000\n80241 100000\n23630 35542\n88423 100000\n24900 37444\n69178 100000\n34252 51508\n38176 57390\n90891 100000\n50864 76347\n6821 10265\n30359 45617\n5479 8228\n36232 54484\n54822 82283\n89047 100000\n47398 71156\n95445 100000\n84168 100000\n44607 66959\n61873 92872\n67572 100000\n92945 100000\n19685 29602\n60296 90507\n46843 70335\n6983 10512\n51259 76942\n19262 28973\n52134 78262\n13084 19705\n37119 55819\n36630 55080\n9001 13561\n54020 81077\n38304 57592\n65994 98993\n51882 77882\n13178 19846\n16600 24958\n71331 100000\n42043 63145\n38940 58547\n63346 95071\n57701 86603\n13425 20213\n56839 85302\n96648 100000\n58482 87781\n28803 43283\n13679 20590\n12086 18228\n8850 13328\n52005 78069\n5417 8141\n54410 81665\n37511 56407\n60303 90516\n50893 76390\n73327 100000\n63126 94753\n6545 9838\n62443 93723\n4376 6566\n6124 9194\n12186 18365\n92067 100000\n44586 66927\n52583 78938\n60359 90602\n47428 71197\n5544 8323\n36605 55047\n36899 55488\n31870 47927\n76961 100000\n39981 60066\n86575 100000\n77797 100000\n45163 67800\n81881 100000\n66893 100000\n39638 59568\n46550 69895\n7004 10548\n77434 100000\n2621 3961\n63572 95411\n39594 59500\n45002 67564\n64632 96968\n6147 9228\n78607 100000\n82344 100000\n82779 100000\n12840 19339\n25403 38191\n31334 47118\n53104 79702\n80604 100000\n89022 100000\n89226 100000\n88956 100000\n71544 100000\n14292 21519\n26767 40221\n79655 100000\n48729 73195\n22913 34457\n87052 100000\n65457 98186\n24784 37271\n15487 23284\n38936 58539\n21116 31764\n31976 48086\n38975 58600\n1019 1544\n91743 100000\n59573 89429\n71867 100000\n93903 100000\n4496 6745\n67217 100000\n32606 49053\n50431 75712\n93943 100000\n86313 100000\n58120 87235\n79541 100000\n77849 100000\n4156 6236\n55844 83822\n62921 94448\n14013 21098\n38003 57134\n69835 100000\n29305 44043\n63744 95655\n92005 100000\n79237 100000\n95407 100000\n34112 51300\n83019 100000\n33153 49874\n59206 88876\n5443 8177\n97207 100000\n8103 12209\n14424 21723\n55415 83171\n35301 53068\n7234 10898\n15926 23934\n8873 13360\n61595 92452\n89628 100000\n6714 10099\n87223 100000\n42854 64365\n30826 46330\n79101 100000\n97722 100000\n74482 100000\n89037 100000\n33139 49851\n28967 43534\n80354 100000\n73007 100000\n63654 95529\n61917 92938\n31017 46629\n49664 74578\n93873 100000\n42321 63563\n89189 100000\n76276 100000\n87259 100000\n46504 69828\n25510 38350\n85028 100000\n77463 100000\n54538 81857\n30307 45537\n6089 9138\n71342 100000\n42793 64275\n40257 60473\n60684 91091\n88727 100000\n28798 43275\n58292 87499\n75808 100000\n71987 100000\n64969 97464\n10137 15267\n42210 63391\n31687 47653\n56273 84464\n85173 100000\n62589 93949\n68192 100000\n62766 94213\n75207 100000\n53623 80477\n64601 96924\n84257 100000\n62732 94161\n10087 15189\n40329 60580\n76465 100000\n41545 62406\n45771 68714\n34260 51520\n24470 36797\n55861 83843\n46262 69462\n26066 39168\n74563 100000\n72979 100000\n14487 21817\n1288 1942\n5716 8575\n23651 35576\n80398 100000\n32629 49089\n81042 100000\n16237 24415\n41187 61858\n79886 100000\n74191 100000\n7082 10670\n51549 77375\n58286 87488\n4228 6341\n30513 45857\n91221 100000\n91181 100000\n45750 68684\n35330 53113\n28703 43131\n96553 100000\n24615 37020\n40324 60572\n62066 93157\n38983 58614\n13568 20423\n86402 100000\n78385 100000\n85865 100000\n34305 51581\n43702 65631\n59160 88808\n11469 17281\n79180 100000\n91305 100000\n83649 100000\n58018 87080\n82569 100000\n50675 76071\n81350 100000\n99691 100000\n30393 45670\n83277 100000\n74654 100000\n97668 100000\n65359 98037\n34790 52308\n34484 51844\n44811 67265\n44469 66753\n26724 40153\n90530 100000\n83980 100000\n73785 100000\n17985 27063\n5809 8717\n51182 76829\n31314 47082\n50364 75613\n27175 40835\n95740 100000\n36804 55335\n81984 100000\n2095 3157\n8633 13010\n8233 12410\n13341 20092\n47771 71718\n52657 79048\n21647 32563\n26305 39530\n71072 100000\n85581 100000\n84618 100000\n27000 40568\n28675 43091\n20999 31598\n20231 30434\n90724 100000\n50934 76454\n11023 16598\n11696 17635\n40834 61339\n24937 37496\n91944 100000\n74825 100000\n6581 9892\n89856 100000\n14837 22341\n69987 100000\n33953 51059\n53717 80615\n94379 100000\n31102 46759\n60648 91035\n19165 28833\n29320 44066\n31841 47882\n20542 30912\n48851 73364\n68769 100000\n77425 100000\n73881 100000\n77810 100000\n70386 100000\n40768 61237\n99905 100000\n21684 32619\n25330 38081\n30541 45903\n84833 100000\n46451 69749\n9139 13761\n38243 57498\n23685 35631\n4559 6838\n20958 31540\n39426 59257\n87504 100000\n83744 100000\n87966 100000\n89332 100000\n89794 100000\n22240 33455\n166 248\n62385 93635\n13367 20132\n5634 8455\n95138 100000\n43955 66010\n281 420\n17632 26524\n23987 36084\n53525 80330\n21524 32367\n38923 58519\n50048 75148\n18711 28152\n96114 100000\n56651 85005\n29352 44112\n28691 43114\n58092 87195\n78852 100000\n62681 94083\n52483 78789\n19464 29274\n37357 56175\n70862 100000\n99018 100000\n45927 68950\n92421 100000\n57744 86668\n41591 62472\n37693 56677\n84819 100000\n18066 27188\n36879 55456\n90904 100000\n22828 34332\n20394 30687\n33960 51069\n39296 59062\n24693 37136\n56152 84278\n33064 49739\n78168 100000\n23301 35035\n12257 18466\n63061 94659\n18355 27621\n2629 3973\n3930 5899\n79050 100000\n42827 64323\n77221 100000\n9411 14180\n53978 81017\n93849 100000\n38737 58239\n50454 75747\n99967 100000\n84015 100000\n42542 63896\n25308 38052\n72264 100000\n3499 5251\n32344 48654\n32757 49276\n89573 100000\n32093 48260\n52713 79132\n32237 48493\n93877 100000\n72002 100000\n55101 82698\n63759 95676\n88255 100000\n61202 91871\n28628 43026\n92176 100000\n36474 54853\n22976 34551\n33584 50504\n5448 8185\n47287 70984\n96006 100000\n72871 100000\n73493 100000\n56332 84545\n9354 14098\n96583 100000\n43635 65532\n43891 65915\n87184 100000\n48094 72226\n85255 100000\n45583 68438\n82690 100000\n64296 96466\n51365 77108\n55277 82964\n28969 43537\n5881 8829\n81557 100000\n19373 29140\n85033 100000\n82333 100000\n64964 97457\n352 528\n43000 64579\n28906 43438\n8055 12137\n45308 68025\n46596 69956\n37673 56648\n28728 43170\n26303 39527\n8239 12420\n47870 71866\n97014 100000\n62287 93490\n40754 61218\n948 1435\n74544 100000\n43840 65840\n13940 20995\n160 239\n1247 1878\n80366 100000\n27975 42041\n84376 100000\n50428 75708\n6917 10407\n92234 100000\n88452 100000\n80144 100000\n68282 100000\n65796 98693\n63764 95685\n52549 78889\n24110 36263\n62013 93079\n68536 100000\n1089 1649\n41276 61993\n91129 100000\n27756 41716\n27521 41361\n49910 74945\n37933 57031\n30831 46339\n49071 73690\n49236 73941\n94679 100000\n16469 24759\n4762 7143\n36727 55226\n82575 100000\n73705 100000\n17908 26945\n90824 100000\n82887 100000\n20406 30705\n86660 100000\n41886 62919\n94018 100000\n45812 68780\n61444 92229\n14052 21154\n256 382\n83240 100000\n40406 60694\n10690 16096\n75210 100000\n76370 100000\n32032 48165\n41897 62935\n63551 95375\n39096 58777\n31086 46731\n24562 36939\n20560 30937\n33107 49803\n61568 92415\n44 65\n33415 50253\n17047 25636\n38604 58044\n88062 100000\n95105 100000\n84637 100000\n58262 87450\n43253 64951\n47114 70726\n84039 100000\n90762 100000\n30639 46050\n7303 11006\n43370 65134\n29903 44934\n88453 100000\n36219 54464\n70004 100000\n59491 89312\n4106 6165\n72804 100000\n9890 14888\n75495 100000\n81585 100000\n2555 3856\n23414 35212\n9677 14576\n3194 4822\n58685 88089\n68667 100000\n70249 100000\n32105 48277\n89082 100000\n62596 93959\n40997 61577\n90917 100000\n24045 36167\n6666 10024\n58830 88319\n92811 100000\n95089 100000\n95626 100000\n79698 100000\n24743 37214\n82936 100000\n29861 44872\n97947 100000\n83762 100000\n40657 61077\n9707 14620\n57675 86560\n41683 62611\n65971 98959\n68614 100000\n82124 100000\n36258 54525\n24831 37340\n55134 82754\n49644 74553\n19595 29467\n44438 66709\n49177 73852\n92677 100000\n46687 70091\n90847 100000\n46418 69695\n86554 100000\n84598 100000\n28845 43351\n17425 26208\n66786 100000\n96100 100000\n73387 100000\n62642 94024\n24478 36810\n34863 52422\n33443 50292\n8845 13323\n38225 57470\n29878 44897\n43825 65816\n28369 42626\n62343 93570\n43409 65193\n7359 11086\n18600 27982\n78540 100000\n13301 20030\n4232 6347\n27284 41001\n13321 20062\n12054 18174\n65851 98774\n18513 27856\n31365 47161\n91525 100000\n47029 70607\n56109 84216\n36086 54254\n72052 100000\n39801 59798\n36187 54409\n18624 28018\n29563 44430\n92612 100000\n36877 55453\n36451 54820\n5069 7609\n41452 62260\n66342 99527\n29460 44271\n17378 26140\n5435 8164\n11564 17427\n61081 91695\n97231 100000\n35044 52682\n69059 100000\n10252 15443\n8309 12525\n6525 9811\n97926 100000\n56627 84971\n9936 14956\n95489 100000\n37907 56998\n47458 71247\n59894 89907\n51041 76613\n21559 32418\n558 846\n104 154\n49972 75036\n46378 69638\n96171 100000\n9703 14615\n18100 27242\n47284 70978\n94665 100000\n19388 29164\n40544 60896\n85346 100000\n32303 48591\n11300 17016\n14864 22381\n4053 6092\n62710 94129\n63212 94879\n61944 92977\n72885 100000\n69483 100000\n80183 100000\n73346 100000\n33110 49807\n59024 88604\n51351 77087\n22304 33554\n40868 61390\n88020 100000\n15631 23496\n34315 51595\n83361 100000\n92350 100000\n58167 87306\n17292 26004\n91943 100000\n79531 100000\n75098 100000\n11188 16846\n65951 98929\n73279 100000\n2719 4109\n88437 100000\n66814 100000\n82098 100000\n69163 100000\n36080 54243\n14317 21562\n52058 78148\n86547 100000\n47888 71895\n8792 13243\n97602 100000\n9348 14088\n16718 25137\n84897 100000\n26077 39187\n80865 100000\n23261 34973\n86813 100000\n97519 100000\n46307 69531\n36770 55289\n21202 31896\n76718 100000\n44274 66472\n29059 43670\n11380 17133\n26231 39421\n48006 72084\n74146 100000\n92715 100000\n76640 100000\n66561 99857\n46119 69240\n9015 13581\n51542 77365\n40486 60815\n54463 81743\n75420 100000\n39410 59234\n93632 100000\n50543 75876\n17245 25929\n91311 100000\n74687 100000\n23186 34866\n41894 62931\n36199 54428\n90371 100000\n54917 82420\n89185 100000\n2142 3229\n39707 59672\n24028 36143\n42573 63944\n12758 19217\n58541 87869\n5288 7951\n42861 64374\n18070 27194\n90756 100000\n65474 98213\n75285 100000\n16101 24205\n64637 96975\n76663 100000\n78133 100000\n51919 77938\n30381 45652\n72223 100000\n57756 86686\n15782 23714\n36312 54608\n94228 100000\n72616 100000\n46091 69198\n29966 45028\n93252 100000\n78566 100000\n91067 100000\n79296 100000\n57125 85737\n68426 100000\n7132 10748\n39826 59837\n69946 100000\n22980 34557\n20916 31478\n67724 100000\n62208 93370\n91565 100000\n77874 100000\n16169 24312\n66528 99806\n98214 100000\n37988 57111\n45228 67898\n27260 40965\n31001 46603\n92298 100000\n2124 3200\n380 567\n98461 100000\n13957 21020\n33371 50185\n69699 100000\n79303 100000\n40422 60718\n57017 85570\n79398 100000\n18604 27988\n26678 40080\n78056 100000\n99706 100000\n41353 62109\n21267 31996\n93999 100000\n9486 14292\n97440 100000\n37413 56259\n11958 18035\n36603 55045\n31392 47205\n39794 59787\n95830 100000\n5469 8211\n89146 100000\n56352 84572\n80590 100000\n98890 100000\n85786 100000\n31739 47734\n93341 100000\n50594 75951\n42495 63826\n6366 9567\n35956 54047\n96191 100000\n66287 99443\n83837 100000\n69036 100000\n21526 32369\n63984 96005\n8564 12909\n75361 100000\n88170 100000\n63748 95660\n4033 6062\n26793 40260\n40030 60139\n57826 86788\n87469 100000\n24676 37113\n33071 49750\n15079 22703\n39381 59197\n14587 21968\n3931 5901\n65927 98888\n53307 80003\n55517 83326\n82195 100000\n772 1172\n37144 55856\n22926 34474\n34793 52313\n90471 100000\n37682 56660\n25551 38406\n64204 96329\n20217 30411\n73775 100000\n36614 55061\n66732 100000\n52447 78738\n39058 58721\n24660 37089\n14006 21087\n73935 100000\n46250 69443\n85032 100000\n67666 100000\n16487 24783\n59126 88755\n73039 100000\n84698 100000\n35570 53470\n83951 100000\n89833 100000\n30632 46041\n96438 100000\n49237 73942\n87400 100000\n97591 100000\n7905 11908\n18862 28385\n12757 19215\n44698 67094\n20353 30626\n26294 39513\n77065 100000\n28184 42346\n66202 99316\n70831 100000\n41437 62238\n17898 26929\n36821 55361\n69591 100000\n13909 20944\n37758 56776\n86151 100000\n58144 87270\n76988 100000\n34310 51589\n73278 100000\n50071 75180\n28055 42153\n11732 17694\n46538 69876\n61065 91673\n55670 83557\n35663 53605\n82630 100000\n26501 39821\n99800 100000\n81268 100000\n84444 100000\n84989 100000\n17778 26748\n59112 88736\n78693 100000\n59284 89000\n8746 13172\n2118 3193\n49825 74814\n26645 40029\n26738 40175\n32175 48393\n89203 100000\n53985 81027\n19231 28927\n52050 78136\n16926 25453\n69537 100000\n81599 100000\n16411 24673\n69463 100000\n6290 9443\n89009 100000\n36737 55239\n35133 52814\n80556 100000\n37126 55831\n24761 37237\n6596 9914\n12573 18939\n70878 100000\n81020 100000\n61004 91581\n94091 100000\n92407 100000\n29157 43818\n44711 67113\n67383 100000\n58249 87429\n37558 56477\n25868 38886\n49951 75009\n20253 30471\n75597 100000\n70662 100000\n47200 70855\n60112 90233\n99633 100000\n45873 68873\n78214 100000\n97245 100000\n10719 16142\n15619 23478\n4488 6734\n21703 32648\n10167 15312\n3005 4533\n99863 100000\n73864 100000\n92471 100000\n30067 45176\n64898 97368\n48742 73211\n78590 100000\n37063 55733\n68960 100000\n40470 60789\n54136 81256\n83879 100000\n80888 100000\n55705 83614\n45519 68340\n90176 100000\n68111 100000\n91900 100000\n98973 100000\n35021 52648\n77923 100000\n16088 24186\n23062 34678\n58087 87186\n92633 100000\n26065 39166\n99179 100000\n96862 100000\n96954 100000\n7775 11725\n80369 100000\n98717 100000\n96590 100000\n18452 27768\n37564 56486\n94976 100000\n54035 81099\n90187 100000\n20057 30175\n17766 26730\n67657 100000\n39067 58734\n18018 27114\n26880 40394\n74428 100000\n84067 100000\n83315 100000\n38877 58450\n63313 95020\n88851 100000\n46907 70433\n91004 100000\n11027 16604\n94128 100000\n6243 9367\n50514 75835\n44900 67399\n1227 1849\n34784 52298\n29603 44490\n9802 14761\n98774 100000\n93271 100000\n28458 42757\n81533 100000\n35498 53356\n80961 100000\n32458 48823\n90118 100000\n13383 20152\n3722 5583\n14654 22066\n69367 100000\n23584 35474\n71403 100000\n31771 47777\n12759 19219\n7957 11989\n9451 14242\n96127 100000\n40135 60296\n31491 47356\n77383 100000\n87476 100000\n39548 59434\n61757 92695\n11135 16768\n94482 100000\n78162 100000\n32675 49155\n43171 64827\n25673 38593\n20373 30656\n58978 88534\n72814 100000\n96836 100000\n89021 100000\n14589 21970\n17289 26000\n65592 98386\n83590 100000\n56460 84726\n43412 65197\n48870 73393\n84442 100000\n54576 81912\n14406 21698\n39505 59372\n1253 1886\n74639 100000\n86726 100000\n30421 45712\n69477 100000\n19554 29406\n53324 80030\n41013 61599\n20697 31145\n4726 7092\n62344 93572\n32120 48301\n65564 98343\n22875 34404\n63602 95451\n60838 91328\n96015 100000\n48441 72757\n88039 100000\n87558 100000\n68581 100000\n98270 100000\n87733 100000\n3939 5914\n91016 100000\n84194 100000\n67102 100000\n19517 29353\n62068 93160\n95235 100000\n48843 73353\n50033 75128\n79903 100000\n11176 16829\n32737 49243\n10648 16035\n34059 51219\n3628 5441\n14092 21205\n89606 100000\n90442 100000\n84920 100000\n26201 39378\n26937 40474\n98984 100000\n64410 96634\n54082 81169\n88489 100000\n74366 100000\n89858 100000\n82281 100000\n62878 94384\n39230 58962\n3332 5016\n87312 100000\n59815 89792\n82770 100000\n39963 60036\n1851 2807\n10870 16369\n12209 18396\n58742 88178\n1099 1665\n56807 85251\n96875 100000\n27656 41566\n31724 47708\n82677 100000\n6469 9727\n26415 39696\n2778 4196\n24665 37097\n9571 14416\n18815 28312\n81310 100000\n30859 46383\n8180 12326\n95194 100000\n1296 1955\n84625 100000\n75409 100000\n9438 14223\n98339 100000\n74128 100000\n88169 100000\n91535 100000\n70592 100000\n79693 100000\n60451 90739\n1233 1858\n95824 100000\n1573 2376\n27155 40807\n66308 99476\n59548 89392\n40555 60915\n40723 61172\n19692 29613\n93444 100000\n32261 48531\n91964 100000\n23959 36047\n34470 51825\n3888 5834\n78765 100000\n92979 100000\n16020 24083\n33149 49868\n39544 59429\n85454 100000\n4335 6504\n80484 100000\n31366 47162\n91182 100000\n89654 100000\n36904 55495\n55638 83508\n6600 9920\n70836 100000\n9206 13863\n82442 100000\n68760 100000\n77035 100000\n44981 67530\n59725 89661\n53285 79969\n65394 98088\n72861 100000\n85771 100000\n58365 87609\n40465 60781\n19971 30041\n24218 36428\n96785 100000\n28912 43448\n97766 100000\n28761 43216\n86073 100000\n62225 93398\n68727 100000\n15009 22595\n50879 76369\n23927 36005\n81295 100000\n60816 91296\n59782 89744\n40228 60434\n69174 100000\n50734 76160\n55714 83628\n59529 89366\n65357 98034\n82884 100000\n72 107\n3288 4952\n94888 100000\n28239 42426\n48034 72129\n85160 100000\n6169 9260\n87069 100000\n14226 21418\n60556 90892\n19493 29317\n94968 100000\n7138 10755\n1271 1917\n90402 100000\n59306 89035\n98924 100000\n19991 30071\n10085 15186\n13606 20480\n49808 74790\n98142 100000\n48800 73289\n64074 96141\n81654 100000\n76371 100000\n78735 100000\n28518 42851\n5068 7608\n32421 48764\n20777 31261\n42050 63156\n87517 100000\n66061 99102\n81666 100000\n27786 41764\n56206 84362\n17847 26850\n65424 98131\n55037 82603\n25338 38094\n92614 100000\n18757 28225\n85784 100000\n18496 27832\n29992 45067\n72919 100000\n415 625\n28604 42986\n77013 100000\n78774 100000\n401 601\n2624 3965\n53045 79617\n47199 70854\n91984 100000\n24306 36553\n56128 84245\n75007 100000\n36467 54845\n84950 100000\n70688 100000\n94841 100000\n64336 96524\n48819 73315\n75475 100000\n45882 68885\n25427 38232\n79367 100000\n22208 33407\n97080 100000\n2079 3133\n5132 7702\n67597 100000\n89585 100000\n6818 10260\n66335 99516\n86272 100000\n21469 32293\n98799 100000\n5447 8184\n47879 71879\n56486 84766\n5703 8559\n67714 100000\n18322 27570\n34207 51442\n15229 22910\n47751 71688\n66810 100000\n571 867\n9810 14771\n50252 75451\n23560 35434\n18924 28473\n78113 100000\n73933 100000\n69167 100000\n94203 100000\n22703 34144\n36132 54321\n78651 100000\n27940 41989\n65415 98118\n76250 100000\n12331 18581\n97630 100000\n57750 86676\n61323 92050\n8906 13414\n18728 28180\n62439 93718\n46049 69138\n22889 34427\n10813 16280\n29327 44075\n63521 95327\n55445 83218\n23344 35106\n10103 15217\n57667 86549\n39727 59699\n56314 84524\n8673 13069\n6259 9395\n12296 18527\n11375 17127\n53490 80279\n13995 21074\n72003 100000\n77611 100000\n74564 100000\n7926 11941\n47379 71125\n77105 100000\n85641 100000\n64274 96436\n8385 12642\n86330 100000\n77879 100000\n18237 27443\n33370 50183\n56609 84944\n56041 84119\n61325 92053\n30248 45450\n37385 56218\n64113 96196\n34322 51608\n97019 100000\n94823 100000\n47651 71536\n58881 88390\n61060 91665\n60520 90840\n58346 87582\n94199 100000\n17792 26769\n86947 100000\n49480 74303\n6118 9186\n39737 59713\n71995 100000\n35759 53755\n52552 78893\n49447 74251\n17200 25862\n58510 87823\n99349 100000\n18964 28538\n52135 78264\n51971 78017\n29511 44347\n5576 8366\n66968 100000\n94326 100000\n24952 37516\n85146 100000\n97708 100000\n11550 17404\n381 569\n3518 5279\n76501 100000\n18748 28211\n81233 100000\n98333 100000\n21537 32384\n85600 100000\n35828 53856\n8378 12632\n1031 1563\n94830 100000\n63140 94774\n85508 100000\n86014 100000\n751 1139\n18173 27347\n93593 100000\n8694 13099\n34071 51237\n41215 61900\n31748 47745\n81189 100000\n6428 9665\n12380 18658\n65061 97597\n11637 17543\n59040 88628\n95171 100000\n60436 90714\n9937 14958\n26482 39794\n32887 49475\n63336 95055\n73095 100000\n7506 11313\n39506 59374\n43783 65753\n57706 86611\n11043 16627\n99901 100000\n23484 35316\n90902 100000\n23990 36087\n69128 100000\n64730 97117\n45116 67728\n37330 56136\n1192 1801\n10510 15835\n90081 100000\n49996 75073\n20998 31596\n89094 100000\n22850 34363\n64555 96855\n15128 22768\n41999 63085\n76213 100000\n98066 100000\n94538 100000\n42063 63175\n71899 100000\n65797 98695\n37831 56884\n43917 65951\n86142 100000\n86035 100000\n50496 75807\n24777 37261\n7364 11094\n16766 25207\n5510 8274\n31522 47402\n89653 100000\n83757 100000\n99932 100000\n45724 68645\n40592 60977\n80714 100000\n35608 53526\n32046 48189\n20323 30579\n15655 23531\n25002 37595\n39734 59709\n80483 100000\n12627 19016\n93045 100000\n95067 100000\n94314 100000\n57777 86717\n92894 100000\n66228 99358\n23637 35553\n75470 100000\n96308 100000\n2156 3251\n3296 4963\n8683 13084\n75138 100000\n64959 97449\n66105 99167\n46864 70371\n56939 85450\n31919 47999\n32674 49154\n50362 75611\n38924 58521\n21689 32626\n12104 18252\n96710 100000\n87426 100000\n81686 100000\n92965 100000\n43392 65166\n8955 13489\n80378 100000\n16108 24217\n47120 70735\n3368 5071\n69742 100000\n69775 100000\n7020 10575\n81518 100000\n91975 100000\n54191 81339\n81703 100000\n46394 69660\n64894 97362\n91401 100000\n23996 36094\n40607 61000\n94627 100000\n27241 40937\n75851 100000\n51512 77321\n41696 62629\n15312 23028\n20589 30984\n74766 100000\n90880 100000\n45656 68542\n2711 4095\n30197 45378\n26384 39652\n72121 100000\n99546 100000\n9833 14799\n6400 9621\n45777 68725\n30121 45258\n10612 15981\n19014 28611\n2728 4124\n36083 54248\n32048 48192\n52180 78330\n66282 99438\n46761 70202\n14986 22559\n20862 31394\n32603 49047\n48280 72510\n71091 100000\n32299 48585\n20184 30363\n18235 27440\n22962 34530\n5324 8005\n88848 100000\n93846 100000\n50918 76429\n70152 100000\n23494 35333\n70523 100000\n68679 100000\n46859 70363\n57267 85948\n36540 54950\n158 236\n33006 49655\n11616 17510\n64868 97325\n25647 38554\n77707 100000\n41368 62134\n61787 92742\n4738 7109\n61186 91849\n31554 47454\n86279 100000\n50465 75764\n93118 100000\n77049 100000\n26121 39254\n96011 100000\n34013 51154\n13854 20863\n98875 100000\n93306 100000\n1375 2074\n74691 100000\n48977 73548\n19513 29348\n33151 49871\n16436 24711\n45888 68897\n54041 81107\n28485 42799\n54418 81677\n69948 100000\n29731 44687\n71140 100000\n27606 41488\n19384 29157\n79832 100000\n35711 53681\n80321 100000\n83712 100000\n43684 65604\n66672 100000\n37786 56817\n22409 33702\n29940 44988\n64537 96827\n29339 44092\n97141 100000\n94586 100000\n86841 100000\n59232 88919\n21460 32283\n28696 43120\n31007 46611\n84743 100000\n98007 100000\n93538 100000\n1552 2346\n58385 87637\n42972 64540\n63788 95721\n96000 100000\n64096 96170\n25480 38307\n35625 53549\n58289 87493\n82458 100000\n3177 4793\n57073 85658\n27259 40963\n64490 96755\n95388 100000\n47560 71395\n51538 77360\n92230 100000\n6111 9174\n4173 6264\n98994 100000\n1478 2228\n80725 100000\n74311 100000\n31663 47619\n14307 21544\n4416 6628\n80337 100000\n37271 56047\n92748 100000\n58752 88194\n39888 59924\n5578 8369\n81110 100000\n91304 100000\n86844 100000\n28360 42612\n58001 87057\n8334 12560\n16685 25090\n63259 94948\n69325 100000\n15972 24001\n25807 38789\n28916 43455\n9464 14259\n70412 100000\n57343 86061\n11207 16876\n25706 38642\n35006 52628\n4436 6656\n99455 100000\n46950 70492\n51675 77566\n67566 100000\n18497 27833\n59569 89425\n57821 86780\n67424 100000\n58899 88417\n21321 32078\n75521 100000\n66796 100000\n80395 100000\n45625 68499\n58684 88087\n21272 32004\n23900 35965\n83600 100000\n72839 100000\n57418 86171\n88517 100000\n10558 15900\n10425 15713\n65313 97975\n54840 82309\n49587 74467\n12078 18214\n655 992\n46617 69986\n44422 66687\n54373 81613\n68896 100000\n82709 100000\n30557 45925\n55939 83962\n1935 2922\n10093 15199\n75357 100000\n76038 100000\n31384 47192\n96842 100000\n86523 100000\n90770 100000\n68386 100000\n60468 90763\n82979 100000\n80274 100000\n93192 100000\n26164 39320\n25528 38371\n3618 5424\n94402 100000\n38716 58207\n96201 100000\n95195 100000\n48029 72119\n75422 100000\n87712 100000\n44842 67309\n61395 92151\n35782 53788\n76717 100000\n43976 66041\n14221 21412\n61744 92677\n6538 9829\n34636 52065\n38868 58438\n99839 100000\n8415 12686\n59525 89359\n68880 100000\n76451 100000\n45617 68487\n96097 100000\n90811 100000\n46436 69725\n65479 98220\n30130 45270\n56915 85414\n50168 75319\n99362 100000\n73175 100000\n23585 35476\n9 15\n98720 100000\n91057 100000\n70843 100000\n38269 57535\n79867 100000\n31137 46815\n46213 69385\n4180 6273\n78367 100000\n90213 100000\n19074 28703\n47203 70859\n80630 100000\n33117 49818\n34405 51728\n38698 58180\n77281 100000\n95627 100000\n71116 100000\n23447 35258\n79632 100000\n89920 100000\n53903 80906\n30152 45304\n18421 27718\n43301 65027\n42977 64547\n30620 46022\n34843 52393\n56330 84542\n5566 8353\n88010 100000\n69047 100000\n96580 100000\n28974 43543\n89384 100000\n84692 100000\n46998 70561\n83463 100000\n24093 36235\n42733 64188\n85436 100000\n13309 20043\n16504 24811\n43198 64862\n22124 33281\n64855 97305\n93176 100000\n98896 100000\n25771 38740\n33925 51014\n71675 100000\n695 1058\n4977 7468\n33057 49729\n38173 57387\n59461 89270\n83193 100000\n35028 52659\n24421 36723\n74394 100000\n81460 100000\n71746 100000\n26851 40352\n53095 79691\n66265 99416\n54993 82538\n19736 29681\n65686 98528\n4500 6751\n18800 28291\n23721 35688\n16468 24757\n33910 50993\n47724 71649\n25519 38362\n39459 59307\n8649 13032\n20923 31488\n79978 100000\n35105 52772\n62204 93363\n82773 100000\n16285 24488\n77907 100000\n96108 100000\n68630 100000\n57322 86027\n94896 100000\n47690 71597\n75917 100000\n62174 93319\n58970 88521\n90710 100000\n32720 49221\n93693 100000\n60651 91041\n61969 93012\n13470 20281\n85240 100000\n37004 55649\n89637 100000\n51241 76915\n29392 44171\n17634 26527\n47311 71021\n25977 39042\n2419 3655\n25877 38899\n161 241\n78547 100000\n28826 43322\n2510 3791\n27309 41041\n7327 11038\n74373 100000\n47932 71969\n81254 100000\n86901 100000\n58859 88356\n43283 64995\n31126 46797\n70727 100000\n12917 19458\n12767 19230\n21121 31772\n35667 53611\n77965 100000\n21893 32936\n81643 100000\n4973 7461\n34001 51135\n64728 97115\n31727 47714\n54361 81597\n25778 38751\n18019 27116\n27901 41928\n55907 83914\n79091 100000\n63436 95204\n8813 13277\n36055 54204\n2829 4270\n25397 38182\n31123 46794\n69315 100000\n54624 81983\n46223 69399\n35170 52868\n99699 100000\n33709 50691\n79324 100000\n21786 32770\n33778 50796\n55580 83424\n17543 26388\n3018 4554\n14525 21875\n61867 92862\n84516 100000\n63666 95548\n40865 61385\n29975 45040\n12632 19025\n41975 63051\n96506 100000\n5901 8860\n84339 100000\n22997 34584\n97644 100000\n35919 53994\n39984 60071\n43397 65175\n30538 45898\n85947 100000\n3594 5393\n31279 47031\n5124 7690\n69674 100000\n86457 100000\n37014 55663\n62536 93861\n26781 40243\n51570 77406\n64121 96210\n32259 48527\n29753 44717\n71605 100000\n68037 100000\n75754 100000\n81771 100000\n94501 100000\n36116 54298\n865 1313\n76879 100000\n25342 38100\n56071 84165\n43737 65685\n64471 96722\n28078 42185\n25477 38303\n95484 100000\n17651 26553\n42826 64321\n39986 60073\n35694 53656\n53807 80760\n3011 4544\n5390 8098\n27728 41671\n24069 36201\n29716 44662\n83077 100000\n56949 85468\n59906 89926\n23876 35928\n11309 17030\n48368 72641\n35177 52879\n83424 100000\n89271 100000\n97232 100000\n79990 100000\n36844 55400\n44348 66581\n76427 100000\n32276 48553\n49304 74041\n55596 83446\n95983 100000\n19180 28856\n83427 100000\n18357 27623\n31151 46837\n48045 72148\n43501 65328\n73909 100000\n54005 81056\n90269 100000\n51692 77593\n76256 100000\n57610 86462\n96164 100000\n33223 49974\n99167 100000\n95622 100000\n60489 90794\n67453 100000\n41385 62158\n96558 100000\n82104 100000\n12780 19249\n33986 51109\n12436 18741\n36004 54123\n3568 5352\n33912 50995\n54138 81260\n61105 91730\n87449 100000\n11909 17956\n44467 66751\n89139 100000\n49650 74560\n69685 100000\n92187 100000\n43555 65409\n13478 20292\n51134 76755\n12335 18588\n28704 43132\n25512 38353\n91781 100000\n73874 100000\n46129 69254\n4588 6885\n69173 100000\n51249 76928\n98534 100000\n74511 100000\n81141 100000\n85289 100000\n65337 98007\n82576 100000\n22295 33543\n45380 68137\n71130 100000\n22260 33486\n34732 52217\n83928 100000\n70817 100000\n58388 87642\n71548 100000\n26883 40398\n90055 100000\n67964 100000\n10564 15909\n96911 100000\n8578 12930\n19011 28608\n86199 100000\n68653 100000\n36205 54438\n37024 55677\n84522 100000\n12748 19204\n7604 11466\n57027 85585\n34149 51356\n1226 1848\n11108 16725\n25482 38309\n47901 71918\n6930 10426\n47195 70848\n25541 38392\n14867 22384\n36979 55607\n93774 100000\n16293 24499\n48926 73472\n76814 100000\n88368 100000\n2050 3089\n9010 13574\n55193 82843\n52944 79472\n70272 100000\n27321 41058\n35855 53897\n49092 73722\n34942 52535\n37535 56442\n34639 52071\n35406 53221\n83584 100000\n20043 30152\n96914 100000\n55374 83109\n51338 77067\n97504 100000\n16187 24341\n34392 51710\n55653 83529\n71416 100000\n15864 23844\n7609 11471\n47976 72040\n82169 100000\n35773 53776\n48003 72080\n7398 11142\n15111 22748\n74173 100000\n57904 86907\n3763 5644\n25810 38793\n16278 24477\n71409 100000\n57856 86833\n11641 17551\n81312 100000\n30913 46467\n2272 3434\n16703 25117\n52667 79062\n81028 100000\n49574 74446\n62510 93817\n30611 46010\n83755 100000\n26156 39309\n31107 46767\n5406 8124\n38668 58135\n58139 87261\n10762 16208\n15545 23364\n17728 26671\n12415 18708\n90974 100000\n88732 100000\n9492 14302\n34706 52180\n12351 18613\n10591 15948\n6019 9034\n38970 58591\n15590 23436\n1208 1823\n21030 31639\n11472 17286\n98344 100000\n18674 28096\n69541 100000\n62 92\n60115 90239\n97818 100000\n53857 80834\n47539 71365\n20899 31452\n78978 100000\n41439 62240\n9666 14562\n49416 74206\n71207 100000\n1581 2388\n32500 48886\n89892 100000\n21083 31717\n81176 100000\n74449 100000\n58497 87804\n66928 100000\n41748 62705\n49360 74124\n39486 59342\n78725 100000\n72057 100000\n69797 100000\n15875 23862\n84781 100000\n53741 80652\n92572 100000\n96156 100000\n87632 100000\n16409 24669\n56512 84803\n99086 100000\n10898 16408\n64687 97052\n41237 61933\n38461 57831\n24759 37235\n7539 11365\n64934 97413\n55860 83842\n25121 37775\n66077 99125\n98474 100000\n75623 100000\n55205 82859\n24013 36122\n15816 23768\n6361 9557\n63432 95199\n23893 35956\n76326 100000\n46014 69089\n31814 47841\n79554 100000\n16531 24853\n39090 58770\n41315 62051\n23608 35508\n47069 70662\n7960 11993\n18231 27435\n14203 21383\n56606 84939\n68805 100000\n9983 15029\n70181 100000\n2313 3496\n79646 100000\n68943 100000\n54910 82410\n96967 100000\n28985 43559\n36018 54144\n75255 100000\n53380 80115\n18463 27783\n56421 84673\n46416 69692\n76313 100000\n89835 100000\n64721 97104\n45478 68284\n3563 5343\n76802 100000\n97901 100000\n50154 75300\n20361 30639\n21902 32949\n33338 50139\n57192 85839\n20287 30522\n38655 58117\n47851 71835\n5494 8252\n96840 100000\n83105 100000\n79263 100000\n27507 41338\n46493 69812\n49350 74110\n74066 100000\n66676 100000\n28054 42152\n98167 100000\n12668 19079\n4340 6512\n5829 8749\n37721 56721\n97933 100000\n33864 50923\n7593 11448\n29895 44923\n93495 100000\n81286 100000\n32011 48136\n68004 100000\n88159 100000\n44314 66535\n48725 73189\n91139 100000\n27576 41442\n35708 53676\n44578 66913\n51922 77942\n86521 100000\n73524 100000\n36666 55141\n97403 100000\n91744 100000\n28949 43505\n44617 66973\n95926 100000\n34343 51640\n90253 100000\n98550 100000\n19160 28824\n81459 100000\n68268 100000\n71705 100000\n70420 100000\n65028 97545\n89612 100000\n31812 47838\n61689 92593\n10559 15901\n94280 100000\n84408 100000\n95097 100000\n62177 93323\n69779 100000\n91569 100000\n28742 43190\n93346 100000\n86566 100000\n1374 2072\n32176 48395\n85230 100000\n57779 86720\n55972 84015\n31568 47474\n81260 100000\n69119 100000\n91439 100000\n819 1243\n26026 39112\n43299 65023\n93862 100000\n13370 20136\n47748 71683\n16525 24844\n49313 74054\n59334 89078\n51976 78024\n75581 100000\n5855 8786\n50423 75701\n64209 96336\n95951 100000\n23706 35665\n85683 100000\n430 648\n79198 100000\n67702 100000\n53615 80464\n26212 39392\n84822 100000\n4527 6790\n19272 28990\n49007 73592\n83768 100000\n42588 63972\n17593 26463\n12224 18416\n39819 59825\n53509 80305\n8771 13211\n33592 50515\n17808 26793\n97978 100000\n57204 85859\n62656 94046\n37378 56209\n24011 36119\n74622 100000\n13467 20277\n77785 100000\n53147 79765\n124 185\n41082 61705\n92862 100000\n42597 63989\n52783 79229\n6552 9846\n58359 87601\n6964 10480\n46208 69377\n98009 100000\n46771 70219\n64306 96481\n9225 13892\n51852 77830\n79794 100000\n81477 100000\n8547 12884\n44146 66297\n91506 100000\n21590 32470\n35841 53876\n12695 19118\n14273 21488\n65976 98966\n87805 100000\n31780 47790\n7168 10802\n59486 89306\n45408 68179\n56210 84369\n25885 38909\n46411 69686\n9004 13566\n73011 100000\n23696 35649\n85627 100000\n11248 16940\n55425 83185\n11628 17528\n33839 50889\n49033 73632\n22108 33258\n67996 100000\n46704 70114\n36610 55055\n7288 10983\n53708 80602\n45807 68772\n7651 11533\n80237 100000\n64408 96631\n18933 28487\n90003 100000\n13126 19766\n61209 91882\n38610 58052\n2020 3049\n98684 100000\n45471 68274\n49454 74261\n68345 100000\n34837 52383\n89749 100000\n96174 100000\n805 1221\n40134 60295\n6997 10537\n3800 5704\n83487 100000\n84160 100000\n94769 100000\n75244 100000\n63219 94889\n3129 4721\n96163 100000\n74480 100000\n68706 100000\n81527 100000\n28706 43135\n80550 100000\n61641 92523\n43245 64939\n8300 12513\n61001 91576\n84919 100000\n96019 100000\n69290 100000\n41786 62764\n99995 100000\n50970 76508\n22899 34438\n51804 77756\n78583 100000\n88850 100000\n44737 67151\n1137 1721\n10872 16371\n85157 100000\n77586 100000\n68612 100000\n37556 56475\n70849 100000\n58965 88514\n85660 100000\n47280 70972\n61486 92295\n77438 100000\n9837 14805\n13728 20662\n20030 30133\n84381 100000\n46628 70000\n66336 99517\n33279 50054\n73700 100000\n35381 53186\n41698 62633\n91 136\n52787 79235\n30376 45644\n6952 10460\n63512 95312\n27255 40958\n36432 54790\n9496 14306\n13100 19729\n93579 100000\n91576 100000\n45267 67963\n30625 46028\n68730 100000\n47838 71815\n61389 92143\n7589 11442\n81553 100000\n50032 75127\n27318 41053\n91215 100000\n27254 40957\n20816 31327\n91394 100000\n12340 18596\n70446 100000\n16123 24242\n89500 100000\n1391 2096\n33137 49847\n49019 73610\n37605 56543\n61507 92327\n622 948\n85562 100000\n21869 32899\n89390 100000\n14081 21192\n73853 100000\n54206 81358\n77653 100000\n57860 86838\n4266 6400\n26946 40486\n23247 34955\n65243 97873\n67645 100000\n11387 17144\n77205 100000\n42155 63308\n95519 100000\n88060 100000\n47798 71758\n30100 45227\n18064 27186\n83818 100000\n95521 100000\n20924 31490\n23774 35769\n59386 89160\n94548 100000\n63438 95206\n75630 100000\n97529 100000\n34402 51724\n94723 100000\n53449 80217\n26575 39924\n68948 100000\n97552 100000\n84690 100000\n34907 52487\n44786 67226\n60562 90901\n45326 68055\n39932 59990\n76288 100000\n5501 8262\n26029 39115\n10950 16491\n30642 46055\n80558 100000\n27352 41103\n64688 97053\n56410 84657\n35393 53202\n26253 39453\n70496 100000\n92527 100000\n35558 53450\n19194 28875\n98136 100000\n58972 88524\n65904 98856\n24687 37128\n66679 100000\n20890 31437\n87582 100000\n89089 100000\n70438 100000\n27218 40902\n15979 24013\n31325 47103\n5059 7593\n71919 100000\n44749 67169\n31543 47435\n30163 45323\n91325 100000\n61356 92096\n42646 64060\n80054 100000\n25287 38022\n73015 100000\n13335 20082\n53663 80534\n46768 70214\n93972 100000\n97556 100000\n44062 66170\n54320 81545\n93336 100000\n82375 100000\n96705 100000\n28632 43031\n4193 6293\n29840 44837\n35371 53174\n61363 92107\n6909 10396\n32234 48488\n54112 81218\n50328 75562\n50882 76374\n61234 91922\n95535 100000\n49358 74122\n35516 53386\n60595 90952\n14419 21717\n40625 61028\n43411 65196\n54158 81290\n63593 95440\n42609 64005\n20681 31120\n2294 3465\n86471 100000\n56450 84714\n3647 5468\n21787 32771\n21921 32977\n28549 42901\n6087 9134\n58549 87882\n32179 48401\n21930 32990\n64953 97441\n19434 29230\n39709 59675\n4601 6903\n91478 100000\n41982 63061\n39939 60002\n32242 48501\n46042 69128\n81218 100000\n20356 30631\n66958 100000\n56611 84948\n75173 100000\n61169 91821\n71704 100000\n55259 82938\n80860 100000\n31712 47691\n16781 25229\n23263 34977\n68346 100000\n37370 56195\n60622 90996\n76533 100000\n74737 100000\n8992 13548\n63228 94900\n46781 70235\n7721 11639\n50455 75749\n39744 59721\n73128 100000\n97194 100000\n77236 100000\n37159 55877\n5151 7735\n80956 100000\n31762 47764\n12358 18623\n94127 100000\n70377 100000\n19403 29186\n94159 100000\n64796 97218\n24048 36172\n10923 16448\n94844 100000\n67294 100000\n55306 83012\n74849 100000\n30864 46392\n32854 49425\n64556 96856\n23427 35231\n56105 84211\n62928 94457\n73843 100000\n41658 62577\n58764 88212\n65151 97734\n77477 100000\n2258 3412\n59317 89051\n41602 62489\n32721 49222\n24022 36135\n15431 23200\n82021 100000\n28520 42855\n9371 14126\n83423 100000\n42137 63278\n68057 100000\n61272 91978\n90987 100000\n36096 54267\n43107 64729\n59430 89227\n84779 100000\n77691 100000\n60806 91280\n54057 81131\n26179 39342\n97830 100000\n5928 8901\n37089 55777\n5889 8841\n38036 57182\n47028 70606\n94547 100000\n20040 30147\n91283 100000\n47952 72003\n49223 73920\n73997 100000\n75389 100000\n58909 88431\n10509 15834\n21305 32054\n63945 95949\n66320 99493\n68595 100000\n99957 100000\n77955 100000\n83404 100000\n73069 100000\n73449 100000\n57323 86029\n24931 37486\n27291 41014\n295 441\n66621 99946\n86723 100000\n13290 20015\n22855 34371\n34680 52139\n94827 100000\n30939 46507\n62168 93311\n1828 2773\n35815 53838\n90627 100000\n3407 5127\n14252 21458\n1612 2434\n27890 41910\n90150 100000\n86537 100000\n46541 69881\n75117 100000\n44785 67225\n98668 100000\n18990 28576\n58399 87658\n25563 38422\n77974 100000\n12910 19450\n3363 5064\n6993 10530\n90208 100000\n29004 43588\n19472 29287\n10881 16385\n79147 100000\n44317 66539\n80938 100000\n29024 43616\n56745 85154\n94498 100000\n88927 100000\n66815 100000\n53779 80713\n43939 65985\n50555 75894\n66258 99402\n6206 9313\n5110 7668\n71842 100000\n57092 85688\n15553 23376\n68068 100000\n8514 12833\n60814 91293\n8751 13179\n94685 100000\n16363 24601\n31773 47780\n8871 13358\n8169 12308\n58224 87386\n88391 100000\n76468 100000\n136 204\n35509 53374\n18449 27763\n2991 4512\n31884 47946\n37592 56524\n60355 90594\n28388 42655\n7401 11146\n51600 77451\n25670 38588\n51718 77629\n28745 43193\n36276 54554\n69280 100000\n23162 34832\n84896 100000\n11567 17431\n40648 61061\n17981 27057\n26378 39643\n31217 46939\n18411 27703\n33499 50372\n22448 33764\n48738 73207\n12276 18497\n40934 61489\n64908 97382\n91349 100000\n74418 100000\n95577 100000\n66504 99769\n25239 37945\n24898 37440\n19289 29014\n60212 90375\n27028 40614\n92927 100000\n93839 100000\n10782 16238\n83862 100000\n35315 53091\n32337 48644\n12867 19383\n82526 100000\n65366 98048\n7243 10912\n24926 37478\n94100 100000\n52376 78635\n23249 34957\n20404 30702\n49106 73743\n73103 100000\n34572 51967\n66363 99561\n86380 100000\n38782 58311\n35580 53484\n23311 35052\n70821 100000\n80122 100000\n29298 44031\n5173 7770\n82255 100000\n1278 1928\n432 650\n25736 38688\n22664 34090\n25725 38670\n75995 100000\n12939 19493\n34076 51247\n35887 53944\n43086 64699\n70972 100000\n79259 100000\n58032 87101\n14791 22273\n73286 100000\n35853 53895\n38373 57694\n63910 95898\n79378 100000\n44450 66727\n92955 100000\n15666 23546\n63096 94708\n40293 60527\n19248 28952\n26069 39173\n92508 100000\n34062 51223\n77374 100000\n6580 9891\n81987 100000\n22520 33871\n41528 62381\n31811 47836\n73371 100000\n7698 11606\n90652 100000\n81648 100000\n96467 100000\n78929 100000\n9506 14322\n93154 100000\n83543 100000\n60073 90173\n9481 14286\n40930 61483\n44801 67247\n12684 19103\n89020 100000\n9261 13951\n94652 100000\n60908 91437\n88520 100000\n3620 5427\n93729 100000\n58869 88372\n34570 51965\n63036 94615\n18377 27653\n82593 100000\n93432 100000\n48486 72830\n23295 35027\n2957 4462\n94507 100000\n38158 57366\n53940 80959\n35282 53039\n96754 100000\n95158 100000\n33938 51035\n80462 100000\n70731 100000\n48656 73077\n31774 47782\n43257 64959\n35431 53260\n19949 30004\n24215 36423\n7190 10834\n52339 78574\n8033 12106\n71846 100000\n35877 53929\n22711 34158\n11979 18064\n52991 79544\n62409 93672\n14998 22577\n18519 27865\n70995 100000\n85275 100000\n38028 57172\n34943 52536\n42015 63105\n81101 100000\n18841 28353\n98460 100000\n47309 71018\n85102 100000\n68938 100000\n24201 36399\n5320 7999\n6717 10104\n5674 8512\n61540 92374\n17277 25981\n24915 37464\n63905 95890\n20849 31374\n20550 30923\n54634 81999\n65330 98000\n37519 56421\n5010 7520\n57843 86812\n21109 31754\n70484 100000\n42396 63676\n9967 15005\n71785 100000\n1133 1713\n30210 45398\n38051 57202\n96548 100000\n60848 91346\n62758 94201\n76598 100000\n33523 50414\n50331 75566\n21664 32585\n38480 57859\n41019 61610\n72131 100000\n1306 1969\n77488 100000\n35082 52739\n4447 6674\n37082 55766\n92856 100000\n75275 100000\n31165 46857\n36586 55017\n64992 97495\n48525 72889\n17544 26389\n51557 77387\n71249 100000\n63527 95337\n60709 91127\n61221 91902\n38423 57774\n43424 65215\n41722 62668\n99638 100000\n90490 100000\n12807 19290\n37950 57056\n90189 100000\n30932 46496\n22156 33331\n90289 100000\n93044 100000\n52342 78578\n60249 90432\n91570 100000\n96489 100000\n60272 90472\n60886 91401\n62390 93643\n70226 100000\n83325 100000\n12325 18573\n29917 44955\n61212 91886\n96271 100000\n91180 100000\n48189 72370\n95823 100000\n99771 100000\n98529 100000\n72762 100000\n30257 45464\n51717 77628\n58790 88255\n18547 27902\n54524 81836\n16798 25257\n95661 100000\n56377 84612\n8656 13041\n67038 100000\n98851 100000\n10108 15223\n15650 23523\n12026 18135\n95300 100000\n85675 100000\n40191 60382\n33060 49734\n68392 100000\n435 655\n85370 100000\n70396 100000\n31237 46971\n37093 55782\n8779 13222\n19220 28910\n49005 73590\n3334 5020\n7577 11420\n72014 100000\n59791 89756\n41940 62999\n13598 20468\n96173 100000\n8154 12288\n80118 100000\n71236 100000\n26088 39206\n88184 100000\n27936 41982\n53552 80371\n27977 42044\n19596 29468\n63993 96017\n55548 83376\n57096 85695\n8002 12059\n43454 65261\n11421 17201\n63324 95038\n58372 87620\n72361 100000\n7459 11239\n51999 78060\n31298 47062\n46400 69670\n65241 97869\n45271 67969\n41753 62714\n10875 16376\n67126 100000\n10122 15245\n33069 49747\n82351 100000\n64577 96888\n68091 100000\n65388 98080\n72671 100000\n17652 26554\n81598 100000\n13256 19959\n67817 100000\n3805 5713\n49138 73792\n44653 67028\n81 118\n95206 100000\n2356 3564\n34813 52347\n86488 100000\n44613 66968\n13216 19899\n30460 45774\n39640 59572\n21482 32308\n43935 65979\n64449 96692\n9297 14008\n75150 100000\n21145 31807\n30341 45586\n87560 100000\n69235 100000\n54145 81270\n4328 6492\n85884 100000\n55133 82752\n61928 92951\n40944 61503\n28729 43171\n54537 81855\n90784 100000\n11999 18091\n3418 5141\n82971 100000\n795 1207\n14771 22242\n80255 100000\n48877 73402\n4756 7134\n14520 21868\n71084 100000\n46965 70512\n91287 100000\n98974 100000\n71149 100000\n82451 100000\n24933 37490\n72905 100000\n10059 15148\n49733 74678\n27913 41947\n40921 61467\n78423 100000\n99420 100000\n28808 43292\n8285 12490\n67567 100000\n4832 7255\n79319 100000\n65101 97655\n76887 100000\n30896 46438\n47289 70988\n56987 85522\n70330 100000\n65952 98930\n26734 40169\n1871 2836\n31061 46695\n93229 100000\n79728 100000\n86664 100000\n44891 67383\n87662 100000\n14177 21342\n778 1180\n33984 51107\n6146 9227\n45627 68502\n11513 17348\n16494 24794\n10075 15172\n73076 100000\n46255 69452\n45677 68572\n66293 99452\n58863 88363\n1222 1843\n99469 100000\n87322 100000\n85400 100000\n77460 100000\n75286 100000\n58340 87573\n86314 100000\n47680 71582\n47596 71447\n47726 71653\n72756 100000\n70067 100000\n84645 100000\n35108 52777\n26224 39410\n82314 100000\n22463 33790\n26443 39739\n37369 56194\n90752 100000\n95554 100000\n78150 100000\n70363 100000\n52270 78471\n58356 87597\n79678 100000\n82134 100000\n55827 83797\n60953 91502\n48943 73498\n22282 33522\n40457 60770\n93782 100000\n40281 60509\n16774 25219\n79774 100000\n33741 50739\n96461 100000\n35798 53811\n45157 67790\n19499 29324\n81474 100000\n65722 98578\n87063 100000\n90830 100000\n50407 75676\n36177 54391\n42434 63730\n79737 100000\n78201 100000\n98791 100000\n9682 14583\n42391 63669\n85812 100000\n64720 97103\n48284 72518\n53570 80396\n97316 100000\n12818 19307\n38764 58282\n84418 100000\n43250 64947\n48540 72910\n84133 100000\n30278 45497\n83655 100000\n58602 87966\n99613 100000\n79517 100000\n23194 34877\n9170 13808\n52653 79042\n7439 11206\n80155 100000\n7558 11393\n31879 47941\n6684 10051\n14232 21426\n41386 62159\n64283 96449\n54570 81905\n92002 100000\n78000 100000\n27607 41490\n14805 22296\n58331 87561\n70774 100000\n67201 100000\n18286 27517\n6430 9668\n19932 29976\n46346 69590\n55864 83848\n35716 53690\n7887 11882\n96367 100000\n43224 64904\n79719 100000\n92472 100000\n63081 94686\n53748 80663\n30295 45518\n68694 100000\n9101 13705\n66735 100000\n34499 51865\n56471 84743\n70283 100000\n94914 100000\n23869 35918\n68240 100000\n48899 73432\n1647 2492\n69942 100000\n76087 100000\n444 668\n22408 33700\n93509 100000\n86415 100000\n90761 100000\n49648 74558\n69429 100000\n40557 60919\n24261 36488\n34684 52144\n40948 61508\n24857 37381\n13225 19913\n82419 100000\n79387 100000\n79411 100000\n15059 22671\n83555 100000\n93914 100000\n21810 32810\n70796 100000\n89891 100000\n60289 90496\n17628 26518\n98227 100000\n62515 93827\n19965 30030\n13022 19616\n43340 65090\n19377 29146\n24512 36864\n85397 100000\n68949 100000\n65404 98103\n99807 100000\n25017 37615\n22614 34014\n66242 99378\n49765 74730\n13195 19872\n93180 100000\n5206 7821\n67759 100000\n44940 67464\n68414 100000\n38231 57480\n61369 92116\n98686 100000\n90241 100000\n85588 100000\n8206 12366\n84135 100000\n15432 23201\n41132 61777\n90918 100000\n91644 100000\n30088 45208\n37025 55679\n82431 100000\n92094 100000\n72687 100000\n29955 45013\n7326 11037\n70761 100000\n37752 56767\n23126 34779\n25081 37715\n98368 100000\n65559 98335\n55862 83845\n77854 100000\n25919 38958\n24597 36993\n84159 100000\n36414 54765\n46425 69707\n89855 100000\n70744 100000\n51949 77979\n33132 49840\n18602 27985\n23368 35142\n8982 13531\n8853 13331\n76800 100000\n70099 100000\n51827 77792\n48826 73328\n5389 8096\n34249 51504\n38060 57212\n96420 100000\n5372 8073\n53621 80474\n77508 100000\n25167 37843\n36602 55043\n1968 2974\n86724 100000\n95073 100000\n32127 48311\n6578 9887\n17524 26358\n43603 65485\n52277 78480\n19961 30024\n71197 100000\n92585 100000\n10360 15615\n36626 55074\n84907 100000\n1381 2081\n97122 100000\n19992 30072\n8355 12593\n59925 89956\n15542 23360\n97332 100000\n6017 9031\n29742 44703\n64183 96300\n86891 100000\n75677 100000\n48137 72291\n89428 100000\n9119 13730\n57619 86476\n59466 89277\n98899 100000\n74989 100000\n21200 31893\n48948 73506\n75950 100000\n68621 100000\n9876 14865\n94711 100000\n47995 72067\n14878 22399\n29278 44000\n85305 100000\n50013 75100\n43470 65283\n9405 14172\n64261 96415\n55970 84012\n24532 36892\n9236 13910\n68761 100000\n6477 9740\n93378 100000\n48606 73005\n31824 47857\n5098 7649\n42803 64289\n69535 100000\n2186 3299\n15564 23393\n43251 64948\n25387 38169\n34920 52505\n74382 100000\n55801 83761\n44327 66553\n92886 100000\n60365 90610\n73424 100000\n63329 95046\n72149 100000\n59505 89331\n72833 100000\n41450 62257\n6068 9108\n36883 55463\n52220 78393\n80427 100000\n27575 41441\n92301 100000\n85984 100000\n54194 81342\n89228 100000\n89527 100000\n86683 100000\n19307 29043\n55649 83523\n94766 100000\n50610 75978\n13618 20497\n61878 92878\n13103 19733\n81661 100000\n34377 51692\n698 1062\n30760 46235\n28731 43173\n16865 25352\n2215 3344\n84957 100000\n59563 89416\n90576 100000\n73324 100000\n85004 100000\n58895 88411\n28925 43468\n32076 48235\n35917 53991\n71517 100000\n1862 2824\n51129 76747\n5026 7545\n29185 43858\n28569 42930\n9510 14327\n48662 73086\n23363 35135\n92128 100000\n81061 100000\n11661 17581\n91175 100000\n78120 100000\n45248 67933\n466 704\n89246 100000\n11001 16563\n11745 17715\n37690 56673\n25413 38208\n39351 59149\n67152 100000\n88516 100000\n89916 100000\n40867 61388\n4614 6922\n92108 100000\n86409 100000\n82078 100000\n41407 62193\n37456 56325\n6928 10423\n43519 65354\n61950 92987\n88117 100000\n50069 75178\n70789 100000\n97784 100000\n53781 80715\n72560 100000\n87012 100000\n87605 100000\n93688 100000\n30390 45665\n90894 100000\n10403 15676\n25543 38394\n60934 91474\n9556 14394\n26412 39692\n76989 100000\n28245 42435\n53795 80740\n78958 100000\n49960 75020\n48408 72707\n81710 100000\n11790 17780\n74132 100000\n71475 100000\n13044 19646\n1867 2831\n57191 85837\n30498 45831\n51722 77635\n34728 52213\n37291 56078\n75294 100000\n70445 100000\n42071 63186\n27862 41871\n96476 100000\n45417 68191\n8006 12065\n55056 82626\n47317 71031\n81667 100000\n70711 100000\n74138 100000\n13775 20734\n51119 76733\n1777 2697\n53206 79854\n85453 100000\n97981 100000\n67103 100000\n59864 89864\n27167 40823\n29271 43989\n73984 100000\n74484 100000\n15094 22724\n18963 28536\n87739 100000\n44226 66405\n92834 100000\n30839 46352\n25602 38482\n34088 51264\n6422 9656\n64645 96987\n59014 88590\n22660 34083\n99047 100000\n22680 34111\n36878 55455\n38553 57970\n56178 84318\n96386 100000\n24095 36239\n11598 17480\n51168 76808\n27002 40572\n10811 16277\n91126 100000\n98905 100000\n38168 57379\n44808 67260\n90348 100000\n24695 37139\n10921 16445\n66446 99685\n75085 100000\n97227 100000\n23002 34590\n90882 100000\n65903 98855\n41444 62249\n54292 81499\n49218 73913\n88770 100000\n61261 91962\n14887 22413\n44424 66690\n34738 52226\n6783 10204\n56073 84167\n91821 100000\n7219 10876\n43248 64945\n50963 76498\n79677 100000\n82784 100000\n9892 14890\n69960 100000\n42599 63991\n37294 56083\n84518 100000\n98580 100000\n93033 100000\n90109 100000\n90602 100000\n52710 79128\n74679 100000\n75018 100000\n63830 95783\n83075 100000\n24675 37111\n82658 100000\n12050 18168\n76026 100000\n32095 48262\n95289 100000\n49798 74777\n18528 27879\n80116 100000\n59412 89199\n21501 32335\n6915 10405\n96426 100000\n84651 100000\n43644 65545\n48514 72875\n96162 100000\n95822 100000\n73224 100000\n44098 66223\n51050 76628\n35737 53723\n1112 1683\n29669 44586\n36287 54571\n80789 100000\n31932 48017\n25120 37773\n13759 20712\n36817 55357\n69165 100000\n60910 91440\n61982 93028\n71080 100000\n85040 100000\n8899 13401\n23370 35146\n58519 87836\n65315 97977\n64646 96989\n46274 69484\n56131 84248\n27302 41030\n61941 92972\n76248 100000\n59870 89871\n45595 68454\n31990 48109\n10549 15886\n41133 61778\n80143 100000\n17100 25711\n41021 61613\n13351 20107\n52398 78668\n89002 100000\n50287 75501\n32755 49272\n16105 24212\n43931 65973\n34416 51744\n96403 100000\n16221 24392\n13901 20931\n44929 67447\n76700 100000\n7679 11576\n62622 93994\n54692 82086\n42969 64534\n89748 100000\n20538 30906\n1427 2150\n23822 35842\n88797 100000\n82676 100000\n50134 75269\n4994 7496\n61045 91641\n78149 100000\n12723 19160\n5991 8992\n13446 20245\n19674 29584\n8939 13463\n84097 100000\n88994 100000\n10190 15346\n11205 16872\n38968 58589\n74085 100000\n41105 61741\n74437 100000\n33946 51049\n5816 8729\n41998 63084\n69916 100000\n23217 34913\n89915 100000\n66326 99502\n88574 100000\n28876 43395\n51441 77218\n36334 54644\n77357 100000\n96858 100000\n53579 80410\n31489 47353\n64245 96389\n54825 82287\n85092 100000\n72438 100000\n54300 81513\n78756 100000\n44341 66571\n24535 36897\n5543 8322\n87067 100000\n35417 53238\n798 1211\n61403 92163\n33503 50379\n9399 14166\n70112 100000\n17030 25607\n90607 100000\n92570 100000\n5240 7872\n30893 46433\n29396 44177\n28665 43075\n99230 100000\n75091 100000\n16410 24671\n13030 19626\n82949 100000\n35893 53954\n48767 73243\n20497 30845\n58511 87824\n49830 74822\n17655 26558\n4634 6954\n11281 16988\n44690 67084\n16374 24618\n78317 100000\n65897 98846\n92474 100000\n98403 100000\n64625 96956\n86181 100000\n67254 100000\n92068 100000\n55250 82924\n70781 100000\n96524 100000\n74061 100000\n98349 100000\n48087 72213\n30749 46220\n67001 100000\n72172 100000\n91452 100000\n91736 100000\n73033 100000\n51568 77403\n17599 26475\n71855 100000\n70353 100000\n77351 100000\n77347 100000\n42525 63872\n27530 41375\n21772 32750\n60989 91561\n21113 31761\n88435 100000\n93522 100000\n43771 65738\n20770 31253\n23140 34799\n99848 100000\n40055 60173\n79958 100000\n81443 100000\n67642 100000\n80162 100000\n83108 100000\n46462 69765\n62333 93556\n88602 100000\n34820 52359\n18178 27353\n5331 8017\n65759 98635\n24697 37142\n21338 32098\n23949 36036\n21761 32734\n2500 3778\n88203 100000\n32658 49133\n83401 100000\n71027 100000\n60181 90330\n29606 44493\n4207 6315\n67980 100000\n92535 100000\n37925 57021\n19561 29417\n93144 100000\n88377 100000\n42637 64047\n95801 100000\n60125 90255\n10598 15959\n40966 61534\n68554 100000\n49058 73669\n99741 100000\n48916 73458\n33309 50096\n84465 100000\n33331 50130\n16196 24355\n12512 18848\n1545 2337\n83378 100000\n84778 100000\n51044 76618\n18129 27284\n38893 58473\n6014 9025\n85868 100000\n77489 100000\n26612 39978\n41525 62377\n66296 99458\n98060 100000\n680 1035\n30544 45908\n42905 64438\n62537 93862\n9541 14373\n34888 52458\n63674 95557\n24797 37292\n10635 16014\n66927 100000\n94631 100000\n94908 100000\n2217 3346\n97845 100000\n49735 74681\n53370 80099\n81989 100000\n28795 43270\n38111 57292\n31152 46839\n87321 100000\n59469 89281\n35187 52896\n26845 40344\n41654 62573\n11506 17340\n78245 100000\n4397 6600\n9315 14035\n59724 89660\n94771 100000\n33830 50875\n1221 1842\n27991 42063\n19690 29609\n77593 100000\n29596 44480\n45862 68854\n2927 4418\n83970 100000\n45569 68416\n27431 41232\n54125 81240\n92371 100000\n67945 100000\n93831 100000\n67590 100000\n19203 28886\n5500 8261\n59709 89637\n61000 91575\n95924 100000\n99355 100000\n47465 71257\n26416 39697\n66225 99352\n64321 96501\n76280 100000\n24427 36731\n16347 24576\n92145 100000\n98199 100000\n19134 28784\n54932 82444\n52965 79502\n67368 100000\n17106 25719\n7336 11053\n81366 100000\n33360 50169\n94007 100000\n1546 2339\n67066 100000\n76228 100000\n44272 66470\n22185 33374\n42640 64053\n55426 83187\n32976 49609\n79194 100000\n95229 100000\n93315 100000\n63475 95257\n49660 74573\n90148 100000\n57472 86250\n59282 88998\n20285 30519\n47942 71985\n82618 100000\n9905 14908\n22591 33977\n89703 100000\n98871 100000\n51660 77542\n32038 48175\n30027 45117\n95994 100000\n13869 20885\n42227 63419\n32216 48459\n765 1162\n14025 21116\n83214 100000\n84269 100000\n93793 100000\n90024 100000\n99979 100000\n99114 100000\n10605 15971\n3812 5723\n84763 100000\n60793 91256\n12482 18803\n86718 100000\n4212 6321\n81296 100000\n23796 35801\n14388 21669\n15830 23789\n80649 100000\n43777 65745\n98729 100000\n70150 100000\n3083 4652\n79149 100000\n98600 100000\n77683 100000\n53665 80537\n52412 78690\n18239 27445\n49476 74295\n76547 100000\n77144 100000\n98105 100000\n64519 96798\n33026 49682\n86278 100000\n86647 100000\n94946 100000\n25873 38892\n26068 39171\n94828 100000\n87536 100000\n17912 26952\n54620 81979\n72275 100000\n57468 86246\n21530 32374\n29373 44142\n46016 69092\n71 106\n7797 11752\n59954 90000\n79570 100000\n20481 30820\n39162 58866\n50531 75859\n9115 13725\n10538 15872\n12384 18663\n49800 74779\n22921 34467\n5817 8730\n51703 77608\n71292 100000\n59381 89153\n95617 100000\n23470 35294\n25973 39037\n90334 100000\n36050 54196\n55358 83089\n27357 41110\n8481 12782\n44031 66120\n34208 51444\n6039 9066\n59879 89886\n32964 49592\n90035 100000\n65964 98949\n77895 100000\n99826 100000\n97486 100000\n59786 89749\n70426 100000\n36502 54895\n35260 53004\n63561 95393\n41253 61960\n92370 100000\n17479 26288\n22341 33605\n67356 100000\n85414 100000\n24422 36725\n77976 100000\n68869 100000\n72709 100000\n92560 100000\n44138 66284\n39869 59897\n74543 100000\n67650 100000\n54230 81395\n92438 100000\n24081 36218\n29721 44671\n6518 9799\n88486 100000\n58803 88276\n14785 22262\n97222 100000\n20719 31176\n89735 100000\n31401 47219\n38701 58186\n44224 66403\n68379 100000\n90561 100000\n85116 100000\n91269 100000\n94585 100000\n44383 66631\n79561 100000\n57944 86965\n54104 81206\n29137 43785\n31095 46747\n93803 100000\n60969 91530\n38421 57771\n29923 44963\n6959 10472\n15173 22830\n56768 85194\n89549 100000\n26117 39248\n79511 100000\n94672 100000\n18753 28220\n37957 57066\n69048 100000\n27919 41955\n77389 100000\n80539 100000\n23897 35961\n92117 100000\n91859 100000\n22847 34360\n8989 13543\n2174 3281\n88869 100000\n21345 32109\n66002 99008\n54406 81658\n93878 100000\n51010 76571\n86265 100000\n51793 77740\n33102 49794\n71816 100000\n99524 100000\n23076 34700\n48350 72617\n53558 80379\n40995 61575\n89336 100000\n65920 98877\n69412 100000\n31869 47926\n42201 63378\n47813 71780\n61190 91855\n40778 61253\n48564 72948\n61222 91904\n16149 24282\n65286 97932\n69778 100000\n85608 100000\n85652 100000\n2893 4371\n7391 11132\n12376 18652\n36711 55204\n82545 100000\n19698 29624\n78261 100000\n84254 100000\n50676 76073\n4764 7147\n66879 100000\n43119 64748\n58801 88273\n94048 100000\n87323 100000\n52173 78321\n65485 98229\n66460 99706\n94092 100000\n99054 100000\n28057 42157\n9374 14130\n957 1449\n50693 76097\n41479 62306\n76669 100000\n15442 23218\n60029 90110\n2387 3610\n7666 11557\n90110 100000\n92939 100000\n87637 100000\n34619 52040\n67140 100000\n31801 47822\n89799 100000\n52941 79467\n42744 64204\n59036 88622\n7244 10914\n15669 23551\n25645 38552\n39595 59502\n76479 100000\n73173 100000\n6989 10523\n90835 100000\n88838 100000\n26194 39366\n10018 15081\n17959 27019\n4133 6202\n57705 86609\n80889 100000\n36902 55492\n8237 12418\n57288 85980\n51998 78059\n7438 11204\n32934 49544\n74403 100000\n83351 100000\n63869 95840\n3836 5756\n96977 100000\n70090 100000\n48890 73420\n74625 100000\n21550 32402\n3372 5077\n32942 49558\n12147 18312\n640 972\n73719 100000\n84195 100000\n60525 90848\n10031 15103\n63625 95486\n93637 100000\n65495 98246\n36848 55405\n89750 100000\n11122 16747\n57571 86402\n45323 68050\n6487 9752\n60974 91540\n69328 100000\n74127 100000\n89305 100000\n28793 43266\n69354 100000\n54359 81595\n23655 35582\n29170 43837\n11032 16612\n74919 100000\n87834 100000\n51729 77644\n84222 100000\n73998 100000\n6936 10435\n34878 52444\n78441 100000\n49836 74830\n42683 64114\n27955 42013\n93132 100000\n51199 76853\n66486 99742\n96039 100000\n7963 11996\n67792 100000\n44083 66200\n2003 3022\n43316 65054\n94381 100000\n25037 37649\n46108 69224\n59379 89150\n25295 38031\n52388 78651\n66876 100000\n1326 2000\n10232 15411\n91610 100000\n38519 57920\n39059 58722\n55566 83404\n55867 83852\n35583 53488\n89568 100000\n70086 100000\n4736 7106\n1964 2969\n82427 100000\n32406 48742\n73364 100000\n30482 45805\n1350 2034\n66888 100000\n44992 67550\n342 513\n13433 20225\n31768 47773\n88033 100000\n60652 91043\n99280 100000\n26347 39596\n6053 9085\n96581 100000\n78249 100000\n91989 100000\n12061 18186\n21565 32428\n55023 82580\n81683 100000\n1147 1735\n45238 67915\n50449 75741\n37668 56640\n18487 27819\n16421 24687\n31110 46772\n72926 100000\n76161 100000\n13012 19601\n14200 21378\n6355 9546\n47220 70884\n10646 16033\n32419 48761\n25955 39011\n37816 56859\n82499 100000\n65281 97926\n17280 25986\n49550 74410\n32544 48952\n29139 43788\n39530 59409\n73929 100000\n11345 17085\n44623 66982\n91588 100000\n52395 78662\n91634 100000\n82321 100000\n69066 100000\n62022 93095\n42346 63603\n52843 79318\n10670 16066\n36617 55064\n79565 100000\n73469 100000\n93299 100000\n60318 90541\n3966 5957\n27568 41430\n33689 50659\n79132 100000\n88983 100000\n86631 100000\n37587 56517\n48105 72241\n37180 55908\n9491 14300\n51946 77976\n29021 43612\n12347 18608\n57300 85998\n44073 66185\n16269 24462\n62444 93724\n79838 100000\n92956 100000\n53240 79902\n15315 23034\n14959 22517\n71572 100000\n52124 78249\n78763 100000\n98179 100000\n54009 81061\n87058 100000\n52230 78409\n65301 97955\n10616 15988\n37409 56253\n18667 28084\n82128 100000\n7716 11631\n28753 43206\n24917 37466\n6793 10221\n9318 14040\n66797 100000\n96241 100000\n2458 3714\n7102 10701\n9014 13579\n17206 25872\n61767 92709\n59553 89400\n37282 56065\n28519 42853\n16879 25374\n72085 100000\n21716 32667\n55570 83409\n81709 100000\n58459 87749\n31393 47207\n80801 100000\n43820 65809\n58864 88365\n87771 100000\n1993 3008\n11494 17323\n44843 67310\n99731 100000\n40678 61108\n25796 38773\n87166 100000\n33251 50015\n78107 100000\n54483 81773\n77498 100000\n92606 100000\n13877 20897\n35525 53402\n56970 85499\n56971 85500\n43576 65444\n3009 4541\n38910 58499\n92563 100000\n36459 54831\n18886 28420\n36261 54530\n22893 34432\n2953 4455\n96196 100000\n14040 21138\n24618 37024\n79283 100000\n60370 90617\n5497 8257\n38105 57281\n4596 6898\n72367 100000\n18340 27597\n38733 58233\n74433 100000\n47444 71223\n40996 61576\n30692 46134\n60265 90461\n22042 33155\n82702 100000\n73789 100000\n70266 100000\n54616 81973\n36365 54689\n34789 52307\n27283 40999\n5602 8410\n30174 45342\n51564 77398\n4830 7251\n40333 60586\n19323 29064\n97012 100000\n17091 25699\n68978 100000\n27748 41703\n83072 100000\n78914 100000\n37047 55709\n60762 91210\n42394 63674\n30038 45132\n91970 100000\n30669 46096\n46381 69642\n73666 100000\n78753 100000\n42853 64363\n15135 22778\n6601 9922\n67634 100000\n85895 100000\n26369 39628\n82308 100000\n84815 100000\n23933 36016\n60429 90705\n23956 36043\n26112 39242\n92946 100000\n719 1092\n54970 82501\n4214 6324\n72960 100000\n38516 57915\n37924 57019\n3823 5739\n38069 57226\n36270 54545\n32452 48814\n18620 28010\n29942 44991\n57366 86093\n68758 100000\n56132 84249\n58533 87858\n66909 100000\n4249 6375\n97113 100000\n95728 100000\n67730 100000\n83363 100000\n21674 32602\n45114 67726\n60024 90103\n55180 82823\n64716 97096\n61806 92770\n39176 58884\n8111 12220\n74978 100000\n99795 100000\n36778 55299\n69549 100000\n52039 78119\n45972 69022\n87231 100000\n52875 79364\n95680 100000\n85259 100000\n10149 15285\n93818 100000\n41429 62228\n31967 48070\n11665 17587\n49165 73832\n8941 13467\n61348 92085\n43032 64624\n35630 53558\n417 627\n6880 10351\n64008 96038\n10469 15773\n3666 5499\n82820 100000\n79563 100000\n17673 26583\n5251 7888\n94742 100000\n27498 41325\n95241 100000\n50025 75119\n17120 25740\n78824 100000\n56993 85531\n89060 100000\n30062 45167\n49464 74277\n51829 77794\n41206 61887\n1472 2219\n4612 6919\n2880 4351\n31655 47608\n85449 100000\n16727 25149\n69438 100000\n15108 22743\n84069 100000\n39448 59290\n29279 44001\n85793 100000\n29344 44100\n46138 69268\n6223 9336\n78520 100000\n43678 65596\n17284 25992\n29622 44517\n2439 3687\n10920 16443\n72376 100000\n27941 41990\n78957 100000\n34902 52481\n43881 65900\n72571 100000\n55794 83748\n75383 100000\n9988 15037\n59926 89958\n80745 100000\n38164 57375\n73751 100000\n68899 100000\n37582 56511\n91699 100000\n75953 100000\n46235 69418\n32078 48238\n19697 29622\n90469 100000\n96478 100000\n49659 74571\n77873 100000\n56084 84181\n52081 78181\n75661 100000\n14575 21946\n45898 68912\n22330 33591\n50425 75704\n36025 54154\n73455 100000\n97749 100000\n2580 3894\n66910 100000\n66675 100000\n77988 100000\n47365 71104\n29013 43601\n562 851\n52586 78943\n94016 100000\n70734 100000\n86938 100000\n77328 100000\n42411 63696\n40589 60972\n35872 53921\n49717 74654\n40459 60772\n54061 81135\n87848 100000\n32001 48124\n87228 100000\n85155 100000\n44850 67320\n59330 89072\n2385 3607\n74067 100000\n91286 100000\n71639 100000\n32852 49423\n60554 90888\n58344 87579\n31628 47567\n46915 70444\n28711 43143\n60402 90663\n57969 87004\n88944 100000\n82806 100000\n48107 72245\n97975 100000\n43451 65257\n20375 30659\n8313 12530\n83664 100000\n81614 100000\n13434 20227\n66005 99013\n46955 70497\n44611 66964\n2307 3486\n22239 33453\n88217 100000\n21515 32354\n62946 94480\n1273 1920\n50289 75504\n88231 100000\n99827 100000\n43 63\n29029 43623\n10926 16454\n47461 71250\n71598 100000\n74785 100000\n66500 99764\n39844 59863\n60991 91564\n66369 99568\n80474 100000\n37414 56260\n54372 81612\n26857 40360\n86515 100000\n89417 100000\n91910 100000\n3423 5148\n13843 20845\n12696 19119\n39500 59365\n42441 63742\n21958 33033\n28122 42252\n89728 100000\n48867 73389\n21468 32292\n68212 100000\n37714 56709\n22054 33173\n89617 100000\n97701 100000\n91503 100000\n43302 65029\n13908 20943\n61339 92074\n32401 48735\n47057 70646\n13026 19621\n7811 11770\n19609 29485\n67086 100000\n68086 100000\n6608 9930\n32717 49216\n23765 35754\n96392 100000\n14288 21514\n88731 100000\n88622 100000\n21967 33047\n31514 47388\n38835 58388\n46728 70150\n56952 85473\n24678 37116\n4665 7002\n16554 24888\n40876 61401\n47441 71220\n11539 17387\n74112 100000\n32667 49143\n33359 50167\n7411 11160\n11656 17572\n53863 80843\n45780 68729\n27314 41047\n68357 100000\n83149 100000\n492 742\n42768 64239\n21276 32011\n86109 100000\n56245 84420\n6840 10291\n40632 61038\n54423 81687\n82723 100000\n48489 72835\n39246 58987\n20173 30346\n97877 100000\n72006 100000\n15228 22909\n68054 100000\n25904 38938\n1401 2111\n1012 1532\n11445 17240\n2317 3501\n45014 67583\n27222 40907\n87203 100000\n823 1249\n38218 57457\n33905 50984\n56024 84096\n57879 86867\n18732 28187\n39518 59390\n23532 35389\n66009 99019\n98098 100000\n11225 16903\n90982 100000\n96003 100000\n63439 95207\n33887 50959\n54999 82546\n71142 100000\n22031 33138\n42675 64103\n63310 95015\n40862 61381\n8128 12247\n7428 11190\n91860 100000\n3684 5525\n77286 100000\n59916 89940\n56966 85492\n33004 49652\n44267 66462\n56888 85376\n45127 67747\n69725 100000\n10223 15397\n41496 62334\n5529 8302\n5418 8143\n55975 84018\n27863 41872\n88045 100000\n82604 100000\n72615 100000\n98882 100000\n5542 8320\n7614 11478\n48426 72733\n91612 100000\n78421 100000\n69707 100000\n84210 100000\n58695 88106\n48598 72995\n8323 12544\n60845 91341\n46516 69844\n62576 93925\n99098 100000\n58632 88007\n27100 40725\n4779 7171\n54584 81924\n18709 28148\n76597 100000\n20650 31071\n20804 31306\n90958 100000\n67141 100000\n34521 51895\n49692 74617\n76760 100000\n65514 98275\n25661 38575\n60407 90671\n19675 29586\n49643 74551\n97091 100000\n54605 81957\n69140 100000\n99400 100000\n6687 10056\n69207 100000\n46015 69091\n3138 4735\n16570 24913\n77840 100000\n82636 100000\n36761 55277\n44579 66915\n70492 100000\n10838 16318\n81993 100000\n88745 100000\n85970 100000\n49180 73855\n16516 24830\n1456 2193\n69513 100000\n58025 87090\n35382 53187\n55382 83122\n40945 61505\n63463 95239\n30409 45694\n43060 64661\n25890 38917\n49888 74914\n68306 100000\n2055 3097\n68704 100000\n50345 75587\n40761 61228\n4203 6309\n6204 9311\n66690 100000\n37953 57061\n58999 88566\n28303 42521\n24419 36721\n64181 96297\n71559 100000\n38118 57304\n91667 100000\n6051 9083\n3079 4646\n95189 100000\n68819 100000\n89415 100000\n57405 86151\n86563 100000\n36421 54775\n35794 53804\n49368 74136\n19717 29652\n86961 100000\n99544 100000\n60665 91065\n34217 51457\n27236 40929\n46461 69764\n15352 23088\n96509 100000\n46158 69303\n30480 45802\n68616 100000\n9370 14124\n87159 100000\n40751 61215\n84568 100000\n96925 100000\n91062 100000\n54667 82047\n81098 100000\n42506 63844\n73377 100000\n31160 46848\n50988 76535\n2326 3512\n91897 100000\n82181 100000\n65247 97881\n15712 23611\n51810 77764\n25162 37834\n83522 100000\n42738 64194\n52293 78505\n33770 50783\n65690 98532\n42569 63938\n4988 7485\n29507 44343\n58651 88037\n25025 37629\n5042 7570\n4150 6228\n80068 100000\n74327 100000\n74871 100000\n70204 100000\n84880 100000\n61360 92103\n31547 47441\n7021 10577\n98839 100000\n19765 29721\n37289 56076\n61458 92251\n83665 100000\n60182 90332\n99043 100000\n14910 22445\n64952 97439\n31704 47682\n26899 40421\n42338 63590\n52314 78536\n17 24\n6178 9272\n6117 9184\n68983 100000\n76888 100000\n99312 100000\n50998 76550\n65435 98152\n21049 31668\n38537 57949\n32029 48161\n70600 100000\n60030 90111\n68551 100000\n48933 73482\n16996 25554\n44328 66555\n12305 18542\n51828 77793\n50560 75901\n31789 47803\n61678 92579\n44322 66547\n82205 100000\n47984 72050\n52275 78478\n95408 100000\n2299 3473\n71882 100000\n42491 63820\n37645 56605\n53025 79588\n72089 100000\n36038 54175\n25271 37997\n86666 100000\n53154 79777\n49083 73710\n62721 94143\n82139 100000\n64412 96636\n16582 24930\n27552 41405\n22372 33647\n67349 100000\n76826 100000\n58924 88453\n17631 26522\n6406 9631\n38777 58304\n52358 78604\n89764 100000\n67295 100000\n66857 100000\n19884 29905\n36418 54772\n52029 78105\n87316 100000\n97313 100000\n26124 39260\n91926 100000\n55514 83322\n20982 31574\n65840 98758\n88138 100000\n16797 25256\n5846 8774\n36054 54203\n41546 62408\n49254 73970\n79456 100000\n98912 100000\n74064 100000\n54614 81970\n4801 7205\n30921 46478\n35199 52912\n77037 100000\n91211 100000\n22044 33158\n72247 100000\n81992 100000\n10211 15376\n53500 80293\n40462 60777\n45580 68434\n57364 86090\n97436 100000\n23293 35024\n24144 36316\n31076 46717\n10253 15444\n10760 16204\n21096 31737\n55444 83217\n22678 34109\n2216 3345\n39893 59931\n74581 100000\n85987 100000\n19771 29731\n44696 67092\n17515 26346\n64827 97261\n48653 73073\n83524 100000\n14526 21876\n50974 76514\n34811 52343\n27914 41948\n75179 100000\n72711 100000\n88196 100000\n21691 32629\n69096 100000\n37560 56480\n17799 26777\n49424 74218\n34720 52203\n48176 72350\n51447 77228\n31926 48008\n96083 100000\n24924 37475\n71693 100000\n66532 99812\n65769 98650\n31716 47696\n31442 47283\n39773 59759\n37295 56085\n71167 100000\n78662 100000\n93757 100000\n37449 56315\n64016 96052\n96331 100000\n62238 93418\n13841 20842\n55326 83041\n2948 4448\n25356 38121\n49991 75065\n65786 98676\n88766 100000\n27706 41640\n3248 4897\n32991 49632\n11192 16853\n57696 86596\n86049 100000\n71587 100000\n73182 100000\n67067 100000\n88338 100000\n67545 100000\n46171 69322\n95957 100000\n15355 23092\n31438 47275\n44115 66248\n75220 100000\n4344 6519\n86866 100000\n89467 100000\n93569 100000\n95385 100000\n51093 76696\n90689 100000\n38670 58139\n65846 98768\n29198 43881\n23228 34930\n96101 100000\n52490 78800\n18690 28122\n46708 70119\n82390 100000\n65362 98042\n39590 59494\n33347 50151\n40765 61233\n67290 100000\n62415 93682\n25197 37888\n33525 50417\n79282 100000\n94113 100000\n57456 86229\n87495 100000\n89300 100000\n5349 8038\n19453 29258\n4305 6459\n31542 47433\n60433 90711\n8595 12953\n25727 38674\n94190 100000\n88955 100000\n8787 13235\n36271 54547\n83583 100000\n75531 100000\n86776 100000\n30585 45967\n97308 100000\n40831 61335\n46477 69790\n99116 100000\n95178 100000\n71068 100000\n7532 11355\n7678 11575\n79755 100000\n44566 66896\n68657 100000\n49596 74480\n26481 39792\n13713 20638\n87343 100000\n83514 100000\n46169 69319\n72763 100000\n15226 22906\n61025 91612\n3745 5617\n62200 93355\n886 1348\n1104 1671\n88649 100000\n25068 37695\n87604 100000\n47471 71265\n67260 100000\n74462 100000\n24127 36289\n99129 100000\n69733 100000\n66299 99463\n39283 59044\n66806 100000\n55113 82719\n37138 55849\n82810 100000\n39460 59308\n61016 91598\n81642 100000\n8116 12229\n34838 52385\n59850 89842\n82970 100000\n90740 100000\n76310 100000\n57723 86638\n1043 1581\n24382 36664\n15885 23876\n97797 100000\n92193 100000\n50522 75846\n91552 100000\n75585 100000\n39937 59998\n23218 34914\n42729 64182\n66622 99947\n62325 93546\n60874 91384\n3513 5271\n46883 70399\n51633 77500\n87727 100000\n40240 60450\n62915 94439\n12416 18710\n62127 93249\n8475 12776\n50984 76529\n93925 100000\n9511 14329\n30762 46239\n58751 88192\n91546 100000\n4176 6268\n50536 75866\n98394 100000\n31586 47503\n5269 7918\n8644 13026\n56443 84707\n45599 68460\n45393 68156\n30943 46514\n80320 100000\n6229 9344\n46352 69597\n56338 84553\n7730 11655\n47094 70695\n34048 51203\n1881 2848\n77108 100000\n73037 100000\n55156 82786\n88272 100000\n15030 22626\n49209 73900\n79699 100000\n88722 100000\n39821 59828\n16454 24738\n87644 100000\n62285 93488\n35744 53734\n36637 55093\n95979 100000\n15681 23567\n27077 40690\n35208 52925\n54639 82006\n27103 40731\n43054 64653\n21598 32485\n5278 7933\n36146 54341\n32722 49223\n2650 4005\n83062 100000\n93865 100000\n82096 100000\n48165 72336\n65136 97710\n90496 100000\n1175 1776\n23945 36031\n23960 36048\n92451 100000\n97727 100000\n97100 100000\n15388 23135\n15519 23328\n16239 24419\n71263 100000\n17863 26878\n13294 20021\n9509 14326\n21237 31949\n45180 67826\n21131 31787\n12484 18806\n67639 100000\n96996 100000\n36470 54849\n52516 78839\n58855 88350\n9868 14852\n21296 32042\n99788 100000\n66339 99522\n22327 33587\n80113 100000\n87799 100000\n1405 2117\n2199 3320\n99290 100000\n66110 99177\n88307 100000\n45182 67829\n26318 39550\n47416 71182\n40090 60231\n87910 100000\n52329 78560\n3353 5048\n53503 80297\n61080 91693\n44860 67332\n57273 85956\n91937 100000\n93261 100000\n29556 44418\n36635 55089\n40131 60291\n54129 81245\n14967 22530\n53044 79616\n9573 14418\n10519 15849\n22101 33249\n70775 100000\n59497 89321\n10363 15619\n77486 100000\n37921 57015\n80977 100000\n56777 85206\n72982 100000\n25255 37972\n75009 100000\n6908 10394\n51615 77472\n50629 76002\n77695 100000\n72558 100000\n16530 24852\n98228 100000\n51454 77236\n22521 33872\n6315 9479\n79880 100000\n15290 22995\n78901 100000\n76644 100000\n60733 91161\n14753 22215\n29818 44805\n1400 2109\n40509 60844\n99446 100000\n43449 65255\n60946 91492\n1519 2295\n90977 100000\n86701 100000\n86326 100000\n26030 39117\n59440 89240\n80939 100000\n5178 7777\n16588 24939\n70407 100000\n44952 67483\n91185 100000\n74969 100000\n46054 69145\n37155 55872\n16526 24846\n47958 72014\n46722 70140\n11671 17596\n35268 53016\n1463 2204\n95213 100000\n55540 83363\n96261 100000\n67392 100000\n61498 92312\n37426 56276\n53778 80711\n81429 100000\n39874 59904\n44014 66095\n82802 100000\n89773 100000\n88455 100000\n10272 15476\n18764 28236\n24967 37539\n23092 34728\n75490 100000\n40965 61533\n3765 5648\n62096 93201\n21308 32059\n18627 28022\n17743 26692\n25031 37639\n52576 78926\n90034 100000\n90937 100000\n20717 31172\n43728 65670\n35349 53142\n47947 71993\n36435 54795\n49581 74457\n33098 49788\n89845 100000\n91549 100000\n51369 77113\n80746 100000\n95856 100000\n86000 100000\n98061 100000\n12149 18314\n56203 84357\n47929 71963\n95175 100000\n26306 39531\n6242 9365\n34755 52255\n60997 91572\n62836 94321\n83293 100000\n94392 100000\n66508 99776\n39714 59682\n23534 35392\n83092 100000\n54414 81670\n75306 100000\n6441 9689\n39180 58889\n18618 28007\n95031 100000\n70833 100000\n4835 7259\n18646 28051\n54560 81891\n84278 100000\n65575 98360\n18479 27805\n55182 82826\n71581 100000\n1558 2354\n36189 54412\n68648 100000\n99842 100000\n34709 52183\n10146 15281\n13844 20847\n1869 2834\n48625 73033\n70073 100000\n36127 54313\n76549 100000\n14462 21778\n32019 48146\n26022 39105\n26316 39546\n45949 68986\n46927 70460\n47768 71714\n19911 29945\n99283 100000\n44048 66147\n92050 100000\n52749 79180\n72658 100000\n56431 84688\n56454 84719\n76817 100000\n36005 54125\n14754 22217\n94996 100000\n52080 78179\n83730 100000\n82825 100000\n97827 100000\n36512 54910\n40743 61204\n56748 85158\n86772 100000\n53205 79852\n9980 15023\n63191 94848\n26011 39090\n68104 100000\n61818 92787\n8625 13000\n73842 100000\n13771 20729\n5017 7530\n40204 60402\n24442 36751\n40013 60114\n82582 100000\n65178 97776\n77006 100000\n53199 79843\n94707 100000\n67515 100000\n70776 100000\n17920 26964\n38214 57450\n42148 63297\n50415 75689\n26452 39750\n46003 69073\n58335 87567\n73994 100000\n80611 100000\n10882 16387\n94715 100000\n92600 100000\n14372 21647\n53281 79963\n98898 100000\n70539 100000\n43535 65381\n58576 87928\n49953 75011\n29715 44660\n74499 100000\n78910 100000\n43586 65460\n21961 33037\n89625 100000\n74169 100000\n25703 38637\n11474 17290\n44630 66992\n73625 100000\n15075 22696\n32708 49202\n89182 100000\n37250 56015\n12616 19000\n41585 62464\n30916 46470\n96364 100000\n56900 85394\n70805 100000\n6814 10253\n13784 20748\n34431 51768\n63821 95768\n60847 91344\n96148 100000\n60437 90716\n13921 20963\n26437 39730\n49631 74533\n88001 100000\n52155 78292\n32279 48558\n62728 94155\n35261 53006\n63027 94603\n21315 32069\n95758 100000\n25055 37675\n32335 48641\n7312 11016\n43873 65889\n55397 83145\n51837 77805\n67974 100000\n95730 100000\n68605 100000\n26656 40046\n46212 69383\n20553 30929\n87583 100000\n38549 57965\n10028 15098\n26368 39626\n10163 15305\n90883 100000\n77001 100000\n83869 100000\n51342 77074\n74027 100000\n45895 68908\n91679 100000\n13427 20216\n16449 24729\n46901 70426\n52349 78587\n99583 100000\n61723 92645\n54768 82203\n96250 100000\n80793 100000\n89550 100000\n66887 100000\n70 104\n73079 100000\n54235 81405\n15359 23097\n28784 43254\n92504 100000\n45932 68959\n66474 99727\n65956 98936\n26114 39245\n27196 40869\n86955 100000\n10667 16062\n3460 5196\n86119 100000\n65583 98372\n58443 87723\n27772 41741\n80261 100000\n57018 85571\n91119 100000\n34581 51982\n39894 59932\n96351 100000\n87280 100000\n28767 43227\n31686 47651\n78389 100000\n16574 24918\n73580 100000\n89403 100000\n93013 100000\n24691 37133\n72128 100000\n63715 95614\n14114 21238\n93351 100000\n19531 29375\n63383 95123\n22571 33947\n60773 91225\n62245 93429\n57983 87027\n88990 100000\n81531 100000\n51696 77598\n64604 96929\n69094 100000\n76819 100000\n21741 32704\n9186 13833\n38140 57337\n74322 100000\n93740 100000\n41695 62628\n72630 100000\n39003 58645\n15489 23287\n79992 100000\n83779 100000\n92395 100000\n35407 53222\n89447 100000\n7011 10560\n20745 31219\n61536 92369\n4997 7499\n48682 73118\n96679 100000\n65104 97660\n78355 100000\n24825 37331\n89407 100000\n64746 97139\n52811 79271\n8851 13329\n80699 100000\n89511 100000\n97140 100000\n79355 100000\n84146 100000\n75692 100000\n42933 64480\n56029 84104\n96287 100000\n22019 33118\n57818 86775\n82280 100000\n4688 7033\n63870 95841\n13900 20930\n75236 100000\n65843 98763\n18348 27610\n34280 51547\n72810 100000\n35925 54001\n62550 93882\n49310 74051\n31380 47186\n65123 97691\n95978 100000\n65834 98749\n52026 78101\n99625 100000\n89554 100000\n29696 44629\n10722 16148\n86217 100000\n98359 100000\n53042 79613\n15800 23742\n26343 39589\n22977 34553\n13447 20247\n90860 100000\n32785 49321\n76013 100000\n77779 100000\n61278 91986\n74362 100000\n690 1050\n3331 5015\n89157 100000\n62547 93879\n72583 100000\n46960 70505\n20188 30369\n33524 50415\n51424 77194\n62339 93563\n27001 40570\n68019 100000\n28867 43382\n90167 100000\n27188 40856\n31611 47541\n22631 34038\n64325 96507\n45585 68440\n75536 100000\n99986 100000\n42533 63884\n42036 63135\n78369 100000\n52828 79295\n731 1115\n10475 15784\n72574 100000\n19446 29247\n53488 80277\n14979 22549\n92027 100000\n87258 100000\n94013 100000\n62153 93290\n59712 89643\n35966 54061\n63393 95141\n86688 100000\n22644 34059\n24599 36996\n77393 100000\n70048 100000\n34697 52168\n94845 100000\n31689 47656\n4045 6079\n80983 100000\n15516 23324\n81877 100000\n38723 58218\n30055 45157\n79080 100000\n13963 21027\n93022 100000\n68110 100000\n93156 100000\n77018 100000\n7115 10722\n11970 18051\n77951 100000\n45743 68673\n41597 62480\n92314 100000\n87075 100000\n45979 69033\n8588 12944\n39567 59461\n91659 100000\n79330 100000\n77638 100000\n33036 49696\n97079 100000\n35971 54067\n66794 100000\n96199 100000\n56375 84609\n71647 100000\n44763 67192\n96973 100000\n20293 30531\n39255 59003\n23195 34879\n61382 92132\n15581 23422\n80812 100000\n77973 100000\n44545 66866\n20123 30276\n53010 79567\n11791 17782\n61334 92065\n20385 30674\n72712 100000\n61030 91619\n95899 100000\n21356 32123\n22047 33162\n96528 100000\n22636 34047\n12650 19051\n64699 97071\n95302 100000\n81979 100000\n67322 100000\n55474 83262\n54279 81479\n17590 26458\n47835 71810\n1029 1559\n57102 85705\n55853 83834\n97545 100000\n70587 100000\n31740 47735\n98127 100000\n90085 100000\n10258 15451\n87329 100000\n82200 100000\n3275 4935\n92645 100000\n88035 100000\n33712 50696\n53935 80952\n59308 89038\n39412 59236\n2153 3247\n95706 100000\n11391 17149\n26511 39833\n71239 100000\n86425 100000\n37467 56339\n5512 8276\n52876 79366\n33093 49782\n54362 81598\n10021 15087\n91041 100000\n29265 43979\n12268 18484\n60937 91478\n69678 100000\n23676 35614\n4310 6466\n9124 13738\n3864 5803\n53740 80651\n51507 77314\n85532 100000\n20664 31091\n51018 76581\n52000 78061\n21127 31779\n5317 7996\n86078 100000\n17257 25946\n67918 100000\n9539 14369\n82516 100000\n48196 72383\n57024 85580\n5228 7853\n48852 73366\n11817 17819\n53053 79630\n57308 86009\n43641 65540\n51787 77732\n17692 26613\n38647 58105\n84095 100000\n35748 53741\n38618 58065\n63743 95653\n39847 59866\n22430 33734\n44012 66091\n5535 8308\n4678 7018\n3463 5200\n41775 62745\n62170 93314\n5157 7744\n69228 100000\n43193 64856\n77828 100000\n41659 62578\n26216 39399\n70671 100000\n8127 12246\n55585 83430\n57166 85800\n9137 13758\n82514 100000\n73134 100000\n99551 100000\n95212 100000\n59814 89791\n63281 94976\n57502 86296\n34731 52216\n59502 89327\n17875 26898\n65358 98036\n6135 9209\n46333 69570\n90897 100000\n28613 43002\n39644 59577\n92215 100000\n85325 100000\n85130 100000\n14164 21318\n31239 46974\n99327 100000\n33696 50669\n77594 100000\n93707 100000\n97697 100000\n58456 87743\n3347 5039\n13693 20609\n99725 100000\n87887 100000\n90059 100000\n41960 63027\n33100 49791\n91757 100000\n67131 100000\n73622 100000\n15731 23636\n36837 55388\n71588 100000\n82171 100000\n6987 10519\n47494 71301\n43814 65801\n55609 83466\n18378 27655\n847 1286\n26996 40561\n85181 100000\n62768 94217\n81769 100000\n59009 88582\n61495 92307\n72449 100000\n20932 31500\n39354 59153\n75479 100000\n67586 100000\n66680 100000\n60619 90990\n62188 93338\n55178 82821\n61959 92998\n49461 74272\n45170 67812\n35984 54088\n91148 100000\n99261 100000\n91792 100000\n86396 100000\n51126 76744\n1916 2898\n22958 34523\n90298 100000\n63316 95025\n83096 100000\n37088 55775\n7993 12045\n21029 31637\n96577 100000\n19451 29256\n2933 4427\n18335 27589\n53499 80292\n75991 100000\n42973 64541\n17323 26053\n70367 100000\n90837 100000\n50326 75559\n59057 88653\n51326 77051\n8799 13253\n79475 100000\n74884 100000\n34734 52221\n89238 100000\n28135 42271\n64311 96488\n34536 51918\n38167 57378\n13776 20736\n74486 100000\n64931 97409\n41770 62737\n31492 47357\n59346 89099\n45606 68471\n81382 100000\n39390 59208\n69804 100000\n63812 95754\n85187 100000\n67756 100000\n97994 100000\n91251 100000\n65854 98780\n79586 100000\n20884 31429\n10885 16391\n34965 52568\n96588 100000\n92189 100000\n71356 100000\n50376 75630\n40061 60182\n7619 11484\n46826 70306\n94162 100000\n53283 79966\n19098 28736\n4518 6776\n90364 100000\n57746 86671\n76460 100000\n89777 100000\n84028 100000\n12072 18204\n58682 88084\n26435 39728\n19037 28647\n75107 100000\n58364 87607\n10836 16315\n79839 100000\n63784 95714\n47126 70744\n20082 30213\n64660 97012\n46629 70002\n49866 74880\n29313 44053\n63249 94934\n30092 45215\n6835 10285\n35746 53737\n3071 4633\n94522 100000\n25569 38432\n2262 3419\n87818 100000\n83128 100000\n69042 100000\n46288 69504\n38528 57935\n61208 91880\n12991 19570\n85248 100000\n89868 100000\n84496 100000\n50493 75804\n94067 100000\n57070 85653\n93268 100000\n38803 58339\n26932 40469\n44148 66301\n17088 25695\n30239 45436\n67344 100000\n58023 87087\n87057 100000\n32699 49188\n31854 47904\n3511 5268\n86697 100000\n80628 100000\n98609 100000\n78604 100000\n16680 25082\n77439 100000\n81163 100000\n33748 50750\n83651 100000\n74301 100000\n2402 3632\n880 1337\n4327 6490\n42465 63779\n46920 70451\n9307 14024\n16431 24703\n666 1012\n99769 100000\n76902 100000\n45977 69030\n10210 15375\n8825 13295\n46711 70125\n80645 100000\n47706 71622\n62704 94119\n76973 100000\n77914 100000\n46841 70332\n11120 16743\n24391 36678\n31213 46932\n20687 31129\n6948 10452\n6173 9265\n45139 67763\n18127 27281\n45449 68239\n88439 100000\n67994 100000\n4724 7088\n45861 68853\n74318 100000\n94099 100000\n43469 65282\n47068 70660\n70667 100000\n29761 44727\n48683 73119\n14917 22456\n65131 97702\n39140 58832\n10141 15273\n18030 27132\n53932 80948\n38709 58196\n82922 100000\n84859 100000\n23288 35016\n47980 72046\n39584 59486\n10877 16379\n30265 45478\n24670 37105\n48201 72390\n50885 76378\n64348 96541\n7546 11376\n85003 100000\n30040 45135\n87015 100000\n12062 18187\n9372 14128\n854 1298\n89477 100000\n19013 28610\n24987 37571\n39820 59827\n14821 22321\n25366 38136\n8598 12958\n25179 37861\n59512 89341\n70281 100000\n94427 100000\n63344 95068\n84281 100000\n78562 100000\n48546 72920\n66764 100000\n90728 100000\n14912 22448\n27916 41951\n45499 68314\n26312 39541\n38000 57130\n38349 57663\n28705 43134\n24614 37018\n10000 15055\n74885 100000\n83123 100000\n75918 100000\n20453 30777\n58913 88438\n78076 100000\n17594 26465\n31468 47322\n2570 3880\n58741 88176\n14463 21779\n46407 69681\n83820 100000\n22232 33442\n95797 100000\n12898 19431\n11251 16945\n25206 37900\n37765 56786\n63348 95074\n94412 100000\n19059 28679\n3822 5737\n46020 69098\n67153 100000\n9786 14737\n47253 70934\n22777 34253\n24247 36467\n68209 100000\n68187 100000\n49095 73726\n38002 57133\n16364 24602\n27158 40810\n70317 100000\n2760 4168\n83897 100000\n12697 19121\n28975 43544\n27090 40710\n83866 100000\n99743 100000\n27833 41832\n31600 47524\n98273 100000\n34661 52107\n12852 19358\n4438 6658\n43090 64705\n70754 100000\n816 1238\n42869 64384\n99700 100000\n98964 100000\n60401 90662\n4602 6905\n32941 49556\n36962 55581\n85999 100000\n43465 65276\n94051 100000\n37402 56242\n92043 100000\n38986 58618\n45887 68895\n6710 10091\n50144 75284\n30222 45413\n80569 100000\n70529 100000\n40951 61512\n75040 100000\n41477 62302\n83342 100000\n32661 49136\n73190 100000\n58765 88214\n89132 100000\n94941 100000\n37774 56799\n83678 100000\n31474 47332\n13234 19925\n99001 100000\n86769 100000\n70540 100000\n21420 32219\n83763 100000\n54324 81549\n43732 65676\n84203 100000\n84513 100000\n57545 86364\n86212 100000\n102 152\n3305 4978\n88158 100000\n86668 100000\n26572 39920\n21243 31960\n79089 100000\n71710 100000\n25657 38570\n82301 100000\n32560 48976\n41119 61760\n44997 67557\n39992 60083\n22412 33707\n95084 100000\n17623 26511\n59177 88834\n68314 100000\n81576 100000\n75011 100000\n53673 80549\n89370 100000\n10586 15940\n63508 95306\n1332 2009\n43744 65696\n21886 32925\n22303 33553\n87348 100000\n41810 62802\n63335 95054\n99415 100000\n57573 86405\n86988 100000\n99016 100000\n63946 95950\n35457 53299\n9419 14195\n81740 100000\n8764 13199\n6045 9074\n58037 87107\n44575 66908\n38098 57268\n96575 100000\n81866 100000\n65097 97650\n439 660\n64436 96671\n29628 44523\n84053 100000\n6412 9641\n23086 34716\n15573 23410\n76784 100000\n45406 68176\n19187 28866\n10094 15201\n84959 100000\n10569 15916\n98660 100000\n22966 34538\n79152 100000\n56955 85477\n69711 100000\n89772 100000\n57512 86311\n90693 100000\n9068 13657\n95038 100000\n39213 58935\n47936 71974\n64592 96909\n60804 91276\n19297 29025\n63811 95752\n96459 100000\n82900 100000\n39652 59590\n44971 67516\n92254 100000\n93687 100000\n86182 100000\n24132 36296\n53009 79565\n19071 28699\n15034 22632\n34419 51748\n93344 100000\n35719 53695\n22446 33760\n53006 79561\n85469 100000\n27124 40762\n25752 38712\n69278 100000\n16617 24985\n54477 81763\n456 687\n48833 73340\n60231 90404\n42779 64256\n45560 68403\n7080 10667\n91183 100000\n76808 100000\n31252 46993\n32838 49400\n23613 35514\n29767 44736\n10429 15720\n69061 100000\n9420 14197\n30198 45380\n76074 100000\n28676 43093\n98532 100000\n72366 100000\n71206 100000\n59572 89428\n77605 100000\n51992 78051\n79606 100000\n84587 100000\n39791 59784\n92838 100000\n40949 61509\n84650 100000\n74809 100000\n93236 100000\n42102 63230\n18568 27933\n36384 54722\n77908 100000\n7394 11137\n31589 47507\n57338 86054\n67308 100000\n49555 74415\n80018 100000\n24927 37480\n54554 81882\n47973 72036\n91254 100000\n46949 70490\n1903 2879\n34689 52154\n44477 66765\n2064 3110\n98365 100000\n85194 100000\n4548 6822\n67549 100000\n21666 32588\n99200 100000\n39748 59727\n23298 35032\n99354 100000\n78478 100000\n98677 100000\n78840 100000\n16262 24453\n17837 26835\n48262 72482\n71905 100000\n37828 56880\n76785 100000\n45246 67929\n68052 100000\n27195 40867\n78062 100000\n64813 97242\n72238 100000\n31274 47024\n2019 3048\n38505 57897\n79675 100000\n74429 100000\n98724 100000\n43507 65336\n28662 43072\n48584 72974\n64919 97395\n92406 100000\n69673 100000\n29078 43699\n16851 25334\n60568 90911\n64764 97165\n8993 13549\n42642 64055\n87519 100000\n21971 33052\n60728 91154\n35273 53024\n19035 28644\n71232 100000\n75715 100000\n42177 63344\n61639 92519\n25129 37785\n52060 78152\n50945 76473\n93932 100000\n31169 46863\n95419 100000\n94168 100000\n53116 79720\n59010 88583\n85765 100000\n68829 100000\n27435 41238\n56930 85435\n13079 19699\n64320 96499\n86812 100000\n70700 100000\n69085 100000\n6767 10179\n72993 100000\n7349 11072\n15625 23487\n82062 100000\n10892 16401\n22901 34441\n33990 51117\n38643 58100\n55499 83300\n72497 100000\n89340 100000\n78384 100000\n63795 95730\n62690 94098\n1561 2359\n69323 100000\n54334 81562\n64451 96695\n22910 34453\n68709 100000\n35370 53172\n4731 7099\n26986 40544\n80768 100000\n94689 100000\n66031 99052\n51725 77638\n68846 100000\n17027 25601\n86007 100000\n17521 26353\n23151 34816\n94506 100000\n40207 60405\n99824 100000\n67837 100000\n10139 15270\n31383 47191\n16016 24077\n28189 42351\n94589 100000\n10895 16404\n73492 100000\n74393 100000\n66883 100000\n77011 100000\n85802 100000\n63011 94581\n21158 31828\n11049 16636\n83599 100000\n31906 47979\n39472 59325\n92327 100000\n80167 100000\n31942 48033\n85991 100000\n41728 62676\n58661 88051\n29745 44706\n87372 100000\n10162 15303\n11782 17767\n21390 32174\n11780 17763\n53017 79576\n4251 6377\n824 1251\n86155 100000\n39561 59452\n23631 35543\n22848 34361\n38029 57173\n40086 60225\n30240 45437\n23351 35117\n32829 49386\n75965 100000\n65426 98135\n52511 78832\n18069 27192\n33600 50527\n67529 100000\n73712 100000\n35886 53942\n58412 87676\n48345 72610\n51893 77896\n81873 100000\n86083 100000\n13791 20760\n59562 89414\n50938 76461\n83086 100000\n26864 40370\n35800 53815\n83615 100000\n14650 22059\n22517 33867\n75582 100000\n40330 60582\n66298 99461\n21012 31616\n4186 6280\n1152 1743\n22688 34121\n79949 100000\n68989 100000\n74273 100000\n66479 99733\n33896 50973\n901 1368\n81772 100000\n89234 100000\n10157 15296\n49833 74826\n33364 50176\n67096 100000\n15565 23395\n73417 100000\n30238 45435\n3583 5375\n78351 100000\n60203 90361\n39496 59358\n96166 100000\n92318 100000\n63573 95412\n4029 6054\n25014 37610\n77549 100000\n86759 100000\n85548 100000\n83321 100000\n97003 100000\n12350 18612\n18447 27760\n56077 84172\n71784 100000\n95807 100000\n51486 77284\n81851 100000\n58369 87616\n19652 29548\n47387 71137\n31873 47932\n51270 76960\n77834 100000\n45549 68387\n38206 57439\n58699 88111\n53469 80247\n91270 100000\n43671 65587\n56597 84927\n39434 59268\n10126 15251\n97934 100000\n47409 71172\n52115 78238\n93092 100000\n79821 100000\n63121 94746\n94899 100000\n13804 20780\n49412 74201\n55411 83166\n98775 100000\n50412 75684\n79031 100000\n18081 27208\n61936 92964\n30208 45395\n83602 100000\n17668 26576\n59793 89758\n92329 100000\n82002 100000\n33961 51071\n18977 28556\n44895 67390\n5763 8642\n49918 74958\n46305 69528\n27237 40930\n1576 2380\n69949 100000\n52323 78551\n52235 78416\n29579 44455\n92482 100000\n76750 100000\n57719 86633\n98052 100000\n28698 43124\n174 258\n58099 87204\n11244 16935\n26458 39758\n726 1106\n52792 79240\n87325 100000\n75437 100000\n89860 100000\n24189 36382\n14757 22221\n31853 47902\n73696 100000\n91852 100000\n13143 19793\n63936 95936\n9844 14815\n74967 100000\n2593 3913\n8268 12460\n29540 44391\n43008 64589\n61256 91955\n65758 98634\n30817 46316\n47589 71436\n5895 8851\n89629 100000\n78810 100000\n94578 100000\n75075 100000\n6631 9966\n50875 76363\n78668 100000\n8672 13068\n18319 27565\n10153 15290\n2312 3495\n39975 60055\n52014 78083\n984 1490\n77609 100000\n75427 100000\n97062 100000\n31975 48084\n11460 17266\n58569 87916\n61465 92263\n24827 37334\n81563 100000\n10281 15492\n65345 98018\n11497 17327\n8018 12082\n99892 100000\n62009 93072\n11630 17532\n63327 95042\n53134 79746\n76091 100000\n61826 92800\n66413 99636\n76484 100000\n80452 100000\n41367 62132\n48559 72941\n90936 100000\n30305 45535\n17937 26990\n63903 95887\n71152 100000\n29266 43981\n69777 100000\n28677 43094\n62437 93715\n84809 100000\n36563 54983\n35865 53911\n54604 81955\n24623 37031\n77721 100000\n54688 82078\n33857 50912\n64344 96535\n51064 76649\n56823 85277\n44670 67054\n93038 100000\n12832 19329\n55731 83651\n25943 38994\n75710 100000\n51910 77924\n17017 25586\n21001 31601\n90134 100000\n87515 100000\n91668 100000\n64102 96178\n59650 89543\n85123 100000\n7839 11811\n14263 21473\n68198 100000\n8996 13553\n33404 50235\n11776 17758\n28578 42945\n87354 100000\n19082 28712\n24529 36887\n98193 100000\n86082 100000\n59275 88987\n37322 56126\n83795 100000\n84883 100000\n82434 100000\n51707 77613\n17558 26409\n20483 30823\n61188 91852\n50664 76055\n62051 93136\n61078 91691\n41709 62650\n36001 54118\n10240 15425\n43087 64700\n77257 100000\n64792 97212\n30696 46141\n73340 100000\n18351 27614\n88819 100000\n51066 76652\n2916 4401\n84848 100000\n62648 94033\n13122 19760\n48400 72693\n60000 90068\n70857 100000\n77802 100000\n76216 100000\n44986 67539\n7701 11610\n36164 54371\n13119 19756\n75798 100000\n4125 6190\n81488 100000\n78140 100000\n12659 19066\n737 1122\n74658 100000\n89658 100000\n80059 100000\n68008 100000\n19624 29508\n7123 10734\n19130 28779\n6310 9471\n51916 77933\n96720 100000\n25874 38894\n6728 10120\n33945 51047\n5964 8954\n78667 100000\n52819 79281\n30475 45795\n70201 100000\n9659 14553\n31020 46633\n58768 88219\n90390 100000\n54890 82382\n77079 100000\n66173 99272\n72580 100000\n55387 83128\n52611 78978\n45648 68529\n74975 100000\n85152 100000\n70092 100000\n84237 100000\n23305 35042\n14905 22436\n14418 21715\n10530 15862\n27453 41264\n53256 79926\n6231 9348\n91396 100000\n30534 45892\n28277 42484\n723 1100\n50422 75699\n21698 32641\n5971 8964\n26097 39219\n63774 95702\n81715 100000\n45154 67786\n80060 100000\n99258 100000\n55532 83350\n3242 4887\n29822 44810\n38379 57703\n19288 29012\n62042 93122\n66523 99798\n87758 100000\n91171 100000\n24893 37432\n31407 47226\n81611 100000\n85661 100000\n57757 86687\n37965 57076\n3452 5184\n21368 32142\n61091 91710\n65093 97643\n45540 68372\n55594 83443\n75714 100000\n7514 11326\n67783 100000\n4195 6296\n95036 100000\n77047 100000\n69815 100000\n863 1311\n73210 100000\n40691 61127\n26874 40386\n7981 12025\n49675 74594\n12930 19478\n16335 24559\n23360 35129\n11571 17438\n75223 100000\n97555 100000\n95810 100000\n1676 2535\n35219 52942\n11655 17571\n45105 67714\n49517 74360\n89747 100000\n58559 87900\n98248 100000\n81953 100000\n44877 67363\n72037 100000\n37196 55932\n48358 72628\n22449 33766\n81403 100000\n78320 100000\n52551 78891\n99485 100000\n42755 64220\n95637 100000\n56207 84363\n45800 68761\n45950 68988\n70325 100000\n62163 93304\n95671 100000\n47155 70788\n87315 100000\n70303 100000\n15820 23774\n74374 100000\n27492 41316\n89175 100000\n13703 20623\n92823 100000\n42154 63306\n16281 24481\n40391 60672\n13284 20003\n33061 49736\n89751 100000\n72792 100000\n43093 64708\n86640 100000\n95774 100000\n703 1069\n57839 86807\n59105 88725\n63146 94781\n77230 100000\n26001 39077\n66484 99739\n79785 100000\n12047 18162\n7976 12017\n93795 100000\n10001 15056\n85582 100000\n87467 100000\n38633 58087\n76904 100000\n40529 60872\n36748 55257\n1021 1547\n99927 100000\n42722 64174\n25852 38859\n10496 15812\n14924 22467\n77740 100000\n33436 50283\n4049 6084\n22467 33796\n80760 100000\n80979 100000\n53418 80173\n13444 20243\n69419 100000\n5165 7758\n39279 59039\n40931 61485\n10372 15631\n27219 40904\n3373 5079\n91726 100000\n83164 100000\n99075 100000\n10400 15670\n30526 45877\n27372 41133\n66476 99729\n42327 63573\n90456 100000\n82027 100000\n25180 37862\n400 599\n20693 31139\n82331 100000\n91919 100000\n47234 70908\n57310 86012\n98777 100000\n61200 91869\n59254 88954\n52896 79397\n22066 33193\n43551 65404\n94272 100000\n26232 39422\n83658 100000\n10615 15986\n92259 100000\n26629 40004\n75347 100000\n38997 58637\n71223 100000\n2795 4220\n12118 18273\n50266 75471\n3485 5232\n94331 100000\n36912 55508\n14133 21267\n70784 100000\n44236 66418\n60150 90289\n98707 100000\n13343 20095\n95721 100000\n96974 100000\n43503 65331\n80234 100000\n45608 68475\n47023 70598\n54615 81972\n44493 66786\n34188 51416\n21152 31819\n29165 43829\n30925 46484\n21487 32315\n9322 14046\n84695 100000\n47124 70740\n97212 100000\n24701 37150\n63102 94718\n22353 33622\n46655 70043\n75057 100000\n82872 100000\n9157 13788\n51034 76603\n66628 99957\n29650 44557\n54936 82451\n48553 72931\n43321 65061\n41795 62779\n64125 96214\n84691 100000\n20018 30115\n19143 28797\n53696 80583\n37028 55684\n64738 97128\n66067 99110\n81837 100000\n75974 100000\n64976 97474\n89509 100000\n95649 100000\n81102 100000\n22002 33095\n39800 59796\n92559 100000\n66750 100000\n67098 100000\n8827 13299\n79998 100000\n8819 13285\n29307 44046\n11041 16624\n44032 66122\n87150 100000\n67150 100000\n60190 90343\n51663 77547\n26383 39651\n38345 57658\n44108 66238\n34620 52041\n39630 59557\n50559 75900\n83148 100000\n57583 86423\n3877 5818\n75570 100000\n65750 98622\n59592 89456\n73264 100000\n22903 34444\n36181 54398\n54922 82428\n99232 100000\n51225 76889\n15658 23535\n49056 73666\n47012 70582\n38631 58084\n47742 71675\n87725 100000\n33387 50207\n13752 20700\n60824 91307\n58669 88063\n85967 100000\n39056 58718\n19752 29704\n3433 5162\n11626 17526\n87669 100000\n98464 100000\n57549 86370\n8765 13200\n79336 100000\n10076 15173\n6847 10302\n75444 100000\n21141 31802\n81634 100000\n13662 20566\n53569 80395\n39913 59963\n64437 96672\n4682 7024\n73032 100000\n98451 100000\n7357 11084\n60893 91413\n60990 91563\n12646 19044\n82739 100000\n86267 100000\n89565 100000\n27006 40580\n33773 50788\n79332 100000\n12111 18262\n51984 78038\n15612 23469\n86618 100000\n49414 74203\n17233 25913\n52503 78820\n60921 91455\n29836 44830\n86689 100000\n30592 45978\n3184 4804\n79996 100000\n84787 100000\n28006 42085\n65356 98032\n13185 19856\n93445 100000\n43139 64777\n16706 25121\n15701 23595\n91590 100000\n86478 100000\n6186 9283\n78568 100000\n52266 78466\n56318 84528\n1485 2239\n93169 100000\n70211 100000\n19379 29149\n87139 100000\n65246 97879\n73759 100000\n37359 56177\n33532 50425\n59840 89828\n42858 64370\n75439 100000\n64678 97039\n21595 32479\n94983 100000\n70418 100000\n80724 100000\n62962 94502\n46320 69549\n47683 71586\n5037 7561\n13749 20695\n72340 100000\n88294 100000\n10209 15374\n24504 36851\n67505 100000\n19898 29927\n58757 88201\n32923 49529\n96770 100000\n36950 55565\n27574 41440\n42097 63223\n27443 41249\n26490 39805\n41815 62810\n22284 33525\n84499 100000\n59570 89426\n78533 100000\n13222 19909\n759 1152\n83709 100000\n81717 100000\n49116 73760\n72360 100000\n68523 100000\n79123 100000\n11212 16883\n8558 12900\n20071 30194\n21322 32079\n94872 100000\n67796 100000\n92180 100000\n80687 100000\n84680 100000\n95044 100000\n56409 84656\n88949 100000\n4542 6814\n40506 60841\n43104 64726\n62667 94063\n34256 51514\n90156 100000\n81564 100000\n76489 100000\n94187 100000\n63865 95835\n50540 75872\n96205 100000\n52238 78419\n41271 61985\n92879 100000\n97186 100000\n65998 99001\n72946 100000\n212 315\n7983 12028\n91416 100000\n88441 100000\n15891 23886\n65026 97542\n4117 6178\n64612 96940\n74474 100000\n44715 67118\n79687 100000\n41983 63062\n55891 83888\n59733 89673\n71215 100000\n62358 93592\n96585 100000\n8404 12670\n76324 100000\n61413 92180\n80508 100000\n83412 100000\n81869 100000\n7581 11428\n47128 70747\n45867 68863\n60012 90085\n71917 100000\n82934 100000\n80941 100000\n82819 100000\n20690 31134\n86393 100000\n14358 21624\n51623 77483\n63648 95519\n3614 5418\n21947 33017\n47846 71827\n47918 71946\n21582 32459\n14721 22164\n1349 2032\n53436 80201\n23973 36065\n53815 80770\n24454 36769\n67653 100000\n61782 92734\n97112 100000\n93989 100000\n76390 100000\n43073 64681\n91630 100000\n28301 42519\n65628 98441\n92580 100000\n61651 92540\n42705 64147\n33809 50839\n49374 74145\n39897 59936\n61704 92619\n56127 84243\n18661 28076\n84364 100000\n40450 60760\n76738 100000\n81445 100000\n34679 52138\n23659 35588\n69056 100000\n56842 85308\n18538 27890\n13865 20880\n81158 100000\n30349 45600\n71813 100000\n57577 86412\n62874 94377\n22013 33108\n78545 100000\n39432 59266\n18103 27246\n20576 30961\n59654 89549\n76187 100000\n28755 43208\n49863 74875\n58481 87780\n30863 46390\n22649 34068\n53962 80991\n81592 100000\n11978 18063\n68518 100000\n59296 89021\n25284 38018\n6752 10156\n88224 100000\n48789 73273\n28736 43181\n66860 100000\n90037 100000\n45290 67998\n57657 86534\n87389 100000\n45760 68699\n4926 7393\n43642 65542\n49002 73584\n43687 65609\n15578 23417\n5766 8648\n31347 47136\n46283 69497\n4604 6907\n67594 100000\n53096 79692\n94106 100000\n724 1102\n24879 37411\n97932 100000\n83081 100000\n19347 29097\n90138 100000\n29741 44702\n86680 100000\n60315 90536\n1411 2125\n18283 27513\n23895 35959\n3436 5166\n98476 100000\n18935 28491\n69516 100000\n84719 100000\n10062 15152\n7157 10785\n90522 100000\n24467 36792\n48224 72424\n60772 91224\n46117 69236\n79558 100000\n16935 25468\n73121 100000\n53398 80143\n74619 100000\n51658 77539\n94236 100000\n16153 24288\n68592 100000\n71967 100000\n10745 16184\n67876 100000\n54877 82361\n94836 100000\n29226 43926\n49573 74444\n24948 37511\n69544 100000\n70278 100000\n28336 42573\n90192 100000\n76919 100000\n34606 52021\n32686 49170\n90553 100000\n92532 100000\n8072 12165\n33170 49897\n55112 82717\n18298 27536\n81684 100000\n30328 45570\n10804 16269\n793 1204\n60940 91483\n57759 86690\n15461 23244\n65190 97795\n42080 63198\n45566 68411\n15268 22966\n23230 34932\n64568 96873\n41787 62766\n6511 9788\n22860 34381\n86373 100000\n94691 100000\n3096 4672\n42012 63102\n4804 7208\n15399 23152\n32643 49110\n48131 72280\n55104 82703\n62759 94202\n11238 16924\n22431 33736\n92196 100000\n25956 39012\n6379 9587\n9321 14045\n69494 100000\n50403 75670\n94200 100000\n25850 38855\n86863 100000\n45102 67710\n43117 64744\n1969 2976\n13413 20195\n78711 100000\n84711 100000\n76121 100000\n99229 100000\n2942 4441\n15236 22921\n5942 8923\n68649 100000\n55539 83361\n93119 100000\n80685 100000\n28898 43423\n71930 100000\n99590 100000\n26700 40115\n39323 59107\n1998 3015\n97876 100000\n97750 100000\n87287 100000\n18876 28405\n85341 100000\n49691 74616\n93917 100000\n45723 68643\n87230 100000\n19705 29636\n33116 49817\n39934 59993\n72417 100000\n88432 100000\n73966 100000\n27526 41369\n62365 93604\n53088 79679\n74444 100000\n91645 100000\n21281 32017\n13218 19903\n45748 68680\n13939 20993\n76000 100000\n29832 44825\n41701 62638\n70350 100000\n38495 57883\n58872 88376\n7381 11118\n9013 13578\n86900 100000\n68752 100000\n38640 58096\n42941 64492\n5882 8831\n60428 90703\n26779 40240\n79136 100000\n58267 87456\n65576 98362\n64561 96863\n16092 24193\n85458 100000\n22247 33466\n54037 81102\n9565 14406\n50608 75975\n15694 23586\n215 320\n90832 100000\n71268 100000\n29172 43840\n80718 100000\n16188 24342\n71840 100000\n14073 21181\n16523 24840\n80720 100000\n46910 70436\n56790 85225\n12435 18740\n77877 100000\n7922 11935\n59803 89775\n32610 49060\n57558 86383\n49191 73873\n77109 100000\n50112 75236\n18676 28098\n47703 71619\n97803 100000\n84553 100000\n35875 53926\n7743 11677\n1064 1609\n40167 60347\n12131 18290\n65665 98498\n73358 100000\n76625 100000\n66289 99446\n30653 46069\n54475 81760\n70264 100000\n64128 96220\n49940 74992\n40213 60412\n9818 14780\n73285 100000\n97680 100000\n25947 39000\n41345 62096\n43758 65717\n46518 69848\n65005 97512\n91023 100000\n7240 10908\n56159 84289\n49275 73999\n30875 46408\n74775 100000\n11009 16576\n12691 19111\n19617 29497\n54204 81356\n29838 44833\n81392 100000\n30716 46171\n18466 27788\n29275 43996\n2392 3618\n76675 100000\n54777 82217\n73378 100000\n37876 56953\n52859 79340\n99419 100000\n60839 91329\n88926 100000\n58767 88217\n7257 10935\n56789 85224\n89952 100000\n69702 100000\n83885 100000\n52861 79343\n54107 81212\n25349 38111\n49041 73644\n24206 36408\n10851 16336\n39831 59846\n89451 100000\n99335 100000\n25331 38083\n85213 100000\n56577 84898\n21466 32289\n20806 31309\n2129 3207\n97432 100000\n82248 100000\n52283 78489\n10674 16072\n67662 100000\n43080 64692\n14736 22190\n30881 46417\n59687 89601\n80023 100000\n37838 56894\n8123 12239\n49455 74262\n84847 100000\n77542 100000\n4155 6235\n86428 100000\n90116 100000\n34967 52571\n50521 75844\n33636 50581\n54042 81108\n38066 57220\n36918 55516\n2434 3678\n96464 100000\n6286 9436\n61217 91895\n30690 46132\n57726 86643\n24250 36473\n72677 100000\n18511 27853\n21627 32531\n34395 51715\n24239 36458\n887 1349\n48817 73313\n2789 4213\n77484 100000\n65047 97573\n29803 44785\n81181 100000\n33342 50143\n75264 100000\n37943 57046\n59765 89722\n5337 8024\n75781 100000\n89391 100000\n98139 100000\n89328 100000\n6526 9813\n40358 60620\n63565 95400\n90124 100000\n30950 46526\n28954 43513\n97539 100000\n49076 73699\n89382 100000\n82145 100000\n20209 30399\n33919 51006\n68913 100000\n84785 100000\n32506 48894\n70585 100000\n86209 100000\n5630 8450\n77068 100000\n66387 99596\n87603 100000\n94440 100000\n10707 16124\n77201 100000\n68409 100000\n45855 68844\n64754 97150\n62885 94393\n58238 87410\n48641 73055\n88144 100000\n33136 49846\n19527 29367\n8348 12582\n18139 27300\n77855 100000\n88601 100000\n26515 39840\n58838 88329\n38498 57886\n13065 19677\n55721 83637\n25650 38558\n24567 36946\n91649 100000\n26186 39353\n8205 12364\n20245 30459\n82916 100000\n10179 15330\n8295 12506\n26269 39477\n60465 90757\n89559 100000\n301 450\n80769 100000\n27672 41588\n42423 63712\n43620 65512\n96948 100000\n1616 2441\n73934 100000\n42657 64075\n5018 7531\n85274 100000\n71134 100000\n13136 19781\n91009 100000\n66223 99350\n123 183\n16218 24388\n163 243\n5374 8075\n51860 77840\n10532 15865\n53541 80356\n67313 100000\n41057 61665\n55944 83970\n83642 100000\n587 892\n55775 83718\n68974 100000\n40514 60851\n22417 33714\n79368 100000\n26741 40180\n73335 100000\n71937 100000\n28339 42579\n33850 50903\n19275 28995\n62095 93200\n36151 54350\n29957 45015\n14644 22049\n85601 100000\n34104 51287\n6302 9461\n29459 44270\n58773 88227\n78867 100000\n80039 100000\n93087 100000\n82269 100000\n53707 80601\n71552 100000\n48040 72138\n29249 43955\n55286 82980\n95477 100000\n47167 70805\n24709 37163\n99241 100000\n92763 100000\n32775 49304\n51697 77600\n29487 44312\n46084 69189\n70674 100000\n22022 33123\n41588 62467\n84560 100000\n37885 56967\n83023 100000\n65500 98253\n29345 44101\n11565 17429\n68177 100000\n66761 100000\n25419 38219\n64411 96635\n70242 100000\n19140 28793\n33328 50125\n57230 85896\n68365 100000\n78429 100000\n45305 68021\n14101 21219\n1201 1815\n50832 76300\n57261 85938\n19476 29293\n5506 8269\n45035 67612\n40772 61244\n2476 3744\n68002 100000\n35975 54075\n32012 48137\n85 125\n41263 61976\n1919 2901\n69072 100000\n11405 17173\n64304 96478\n95469 100000\n51560 77392\n95787 100000\n45686 68589\n39827 59839\n31534 47420\n35522 53396\n44648 67018\n3843 5767\n15423 23190\n91342 100000\n61824 92797\n78828 100000\n3466 5204\n62967 94510\n46567 69918\n6336 9514\n81595 100000\n75272 100000\n63699 95593\n13338 20087\n50917 76427\n58334 87566\n3388 5100\n81569 100000\n52450 78742\n75086 100000\n41411 62198\n6651 10001\n83483 100000\n22973 34548\n23974 36066\n72589 100000\n20533 30898\n20436 30751\n72655 100000\n13336 20083\n72559 100000\n38536 57947\n16850 25332\n88885 100000\n81586 100000\n87175 100000\n37530 56437\n37739 56750\n42570 63939\n88283 100000\n86118 100000\n55301 83005\n85645 100000\n59193 88856\n20634 31047\n66547 99834\n42395 63675\n96072 100000\n63683 95570\n49580 74456\n76172 100000\n60970 91532\n34839 52387\n19065 28690\n25604 38486\n77450 100000\n37596 56530\n43730 65672\n36019 54146\n93143 100000\n49728 74671\n58392 87649\n19438 29235\n52022 78094\n92296 100000\n79164 100000\n75497 100000\n29043 43646\n16644 25025\n80640 100000\n76431 100000\n17622 26509\n77282 100000\n39050 58711\n18780 28260\n49913 74950\n79 116\n33412 50248\n73221 100000\n43265 64971\n51426 77196\n4119 6181\n72690 100000\n72899 100000\n50818 76281\n83359 100000\n55796 83752\n13481 20296\n77701 100000\n9448 14238\n30170 45336\n18595 27974\n7451 11226\n67930 100000\n65399 98095\n77160 100000\n81184 100000\n24580 36965\n64861 97313\n20147 30308\n82889 100000\n6280 9426\n94644 100000\n34339 51633\n56419 84671\n40861 61379\n36 51\n83370 100000\n71756 100000\n58886 88399\n9232 13904\n44542 66860\n40503 60837\n64281 96447\n25750 38709\n44443 66717\n78769 100000\n16157 24295\n8331 12557\n89054 100000\n1833 2780\n63940 95942\n43655 65560\n22659 34082\n51481 77277\n54909 82409\n87160 100000\n85493 100000\n76704 100000\n73473 100000\n34827 52370\n82765 100000\n67414 100000\n34830 52373\n17884 26912\n11542 17392\n88066 100000\n55226 82887\n96952 100000\n21574 32444\n15428 23195\n63254 94940\n79937 100000\n8011 12072\n39423 59252\n39028 58678\n74351 100000\n76801 100000\n37179 55907\n36173 54385\n59230 88915\n51444 77224\n81319 100000\n43767 65732\n61624 92494\n6414 9645\n17322 26052\n58577 87929\n68337 100000\n31911 47987\n91963 100000\n15078 22701\n69938 100000\n9740 14668\n69476 100000\n46849 70345\n78242 100000\n15044 22647\n59080 88689\n15048 22655\n4600 6902\n8388 12646\n89622 100000\n58405 87665\n81331 100000\n17676 26588\n83697 100000\n6126 9197\n8058 12142\n96817 100000\n89031 100000\n57498 86291\n18923 28472\n26668 40064\n31200 46911\n53334 80047\n62568 93913\n3181 4798\n52338 78573\n32180 48402\n83480 100000\n92374 100000\n49536 74387\n21870 32900\n42547 63904\n68671 100000\n99205 100000\n20042 30150\n27226 40914\n84974 100000\n5224 7849\n76322 100000\n46136 69264\n19173 28845\n63263 94953\n96795 100000\n93203 100000\n31641 47584\n17747 26699\n32361 48678\n93713 100000\n98592 100000\n57274 85958\n66720 100000\n18952 28519\n55667 83553\n35505 53369\n86092 100000\n46785 70241\n95103 100000\n35684 53641\n90676 100000\n59341 89092\n29757 44722\n5777 8666\n85401 100000\n9445 14233\n93525 100000\n91455 100000\n33501 50376\n54965 82493\n79514 100000\n1836 2785\n77307 100000\n3797 5699\n70421 100000\n39465 59315\n54759 82188\n41985 63065\n39523 59397\n34164 51378\n35156 52846\n9870 14855\n71194 100000\n56129 84246\n48448 72769\n59910 89932\n73838 100000\n32939 49552\n70348 100000\n83171 100000\n60107 90226\n19857 29867\n92524 100000\n6490 9758\n59380 89152\n32615 49066\n67676 100000\n99475 100000\n23602 35499\n33292 50069\n64041 96090\n36733 55234\n28091 42204\n58256 87439\n14161 21314\n33993 51122\n97423 100000\n93245 100000\n45701 68609\n43141 64781\n28746 43195\n67171 100000\n60867 91374\n83552 100000\n73256 100000\n30886 46423\n60069 90168\n38156 57363\n27684 41606\n35571 53471\n38506 57899\n2589 3908\n15907 23909\n61345 92082\n13993 21071\n72729 100000\n56263 84445\n3010 4542\n97696 100000\n85353 100000\n14842 22348\n39353 59152\n68023 100000\n63958 95970\n84894 100000\n33028 49685\n79585 100000\n91831 100000\n98987 100000\n80592 100000\n48609 73009\n39157 58860\n23612 35513\n80885 100000\n89884 100000\n28609 42996\n47605 71464\n65597 98395\n38194 57418\n34906 52486\n24290 36531\n71417 100000\n96059 100000\n26191 39362\n25265 37986\n68527 100000\n18976 28554\n41054 61660\n12987 19563\n3873 5813\n17086 25693\n5270 7920\n13111 19747\n27947 42000\n18946 28509\n20566 30945\n50383 75640\n37829 56881\n52147 78282\n12707 19134\n11653 17568\n10655 16045\n29251 43957\n32489 48868\n43204 64872\n56309 84516\n9670 14566\n85592 100000\n7344 11064\n8057 12140\n59060 88659\n30640 46052\n51997 78058\n20324 30580\n73197 100000\n34994 52612\n36229 54480\n30311 45543\n38217 57455\n45784 68735\n13244 19941\n33242 50000\n69156 100000\n11396 17158\n1229 1851\n90555 100000\n60224 90393\n48657 73079\n35388 53194\n84739 100000\n52868 79352\n30461 45776\n41167 61828\n20626 31035\n13118 19755\n9270 13966\n36274 54551\n7368 11101\n66064 99106\n23395 35184\n77391 100000\n22907 34450\n55288 82983\n21306 32055\n41743 62700\n86117 100000\n84407 100000\n39449 59291\n13286 20007\n53014 79572\n87388 100000\n30580 45960\n51308 77021\n51177 76821\n32595 49036\n29875 44893\n88960 100000\n65342 98014\n79836 100000\n69321 100000\n36723 55221\n90021 100000\n50738 76165\n39039 58693\n3406 5126\n47431 71202\n9821 14783\n47937 71975\n49956 75014\n33551 50455\n18458 27777\n83446 100000\n67524 100000\n35244 52978\n40036 60147\n51367 77111\n65772 98654\n12446 18756\n58357 87598\n16560 24896\n99480 100000\n88786 100000\n78115 100000\n19735 29679\n76776 100000\n39659 59600\n2024 3055\n95993 100000\n99582 100000\n68986 100000\n55015 82569\n67848 100000\n40677 61106\n36321 54624\n44506 66803\n40777 61252\n7834 11804\n52209 78378\n45295 68004\n3360 5060\n96309 100000\n61407 92169\n98295 100000\n90028 100000\n93563 100000\n11813 17815\n68146 100000\n14555 21916\n95665 100000\n75181 100000\n86757 100000\n3057 4613\n18651 28059\n42823 64317\n96393 100000\n26727 40157\n7868 11853\n22892 34431\n48860 73377\n3190 4815\n41178 61846\n9974 15015\n26537 39871\n19148 28805\n29299 44033\n51528 77344\n43835 65832\n62765 94211\n6514 9793\n85195 100000\n26696 40107\n54914 82416\n53005 79560\n7903 11904\n23104 34745\n59049 88641\n66630 99960\n83683 100000\n61942 92974\n79770 100000\n48394 72684\n19612 29489\n18294 27530\n13723 20655\n19495 29319\n57424 86179\n67167 100000\n62904 94422\n19047 28662\n5025 7544\n99176 100000\n86026 100000\n17423 26205\n23638 35555\n24724 37183\n93843 100000\n86875 100000\n39422 59250\n86 127\n34368 51678\n17171 25817\n53447 80215\n6938 10437\n47386 71135\n36257 54523\n44402 66657\n38584 58013\n90510 100000\n73576 100000\n54964 82492\n71772 100000\n62155 93293\n53474 80255\n99447 100000\n65889 98833\n13325 20067\n22718 34169\n98862 100000\n89344 100000\n3730 5595\n96270 100000\n81325 100000\n35112 52782\n92408 100000\n23010 34602\n92904 100000\n13605 20478\n5961 8950\n65442 98162\n11972 18054\n32993 49636\n2147 3238\n37935 57034\n80733 100000\n30466 45783\n12882 19408\n78346 100000\n37650 56614\n52047 78132\n993 1504\n46182 69340\n54430 81698\n20371 30653\n26003 39080\n30195 45375\n23099 34739\n67658 100000\n47965 72023\n44180 66345\n69832 100000\n77340 100000\n40899 61435\n31332 47115\n24892 37430\n79127 100000\n38992 58629\n49709 74641\n15422 23189\n27106 40735\n54260 81447\n34236 51485\n80905 100000\n66586 99894\n48197 72384\n33633 50576\n89977 100000\n29162 43826\n9442 14229\n26255 39456\n58446 87728\n19015 28613\n95750 100000\n32040 48179\n41625 62529\n92258 100000\n63930 95928\n77657 100000\n90584 100000\n28173 42328\n32086 48248\n49714 74649\n98175 100000\n15281 22981\n69492 100000\n20651 31072\n34009 51147\n18797 28286\n76122 100000\n73745 100000\n8958 13494\n28329 42563\n38227 57473\n9125 13739\n87418 100000\n81202 100000\n59454 89261\n61443 92228\n30215 45404\n25185 37869\n24545 36914\n85823 100000\n49380 74152\n13839 20839\n82942 100000\n40818 61315\n17464 26264\n70275 100000\n20863 31396\n52272 78474\n57400 86145\n32167 48381\n93820 100000\n7823 11788\n65316 97978\n89361 100000\n96486 100000\n32274 48551\n16432 24704\n51381 77132\n55167 82803\n49645 74554\n63389 95134\n96228 100000\n10044 15125\n96797 100000\n447 673\n36905 55497\n15057 22668\n78652 100000\n98320 100000\n58297 87509\n45320 68044\n23529 35384\n39218 58942\n79727 100000\n94000 100000\n58623 87995\n68603 100000\n6774 10190\n80629 100000\n272 408\n12816 19303\n64650 96996\n96258 100000\n40764 61232\n35440 53274\n32193 48421\n31072 46712\n84685 100000\n81817 100000\n54656 82029\n81583 100000\n98109 100000\n2057 3099\n74271 100000\n33301 50084\n11835 17846\n80449 100000\n80615 100000\n36439 54801\n33924 51013\n63977 95994\n35274 53025\n15948 23965\n98970 100000\n19854 29862\n54802 82253\n43609 65495\n64405 96625\n80820 100000\n2806 4237\n64825 97259\n44162 66321\n26614 39982\n44853 67323\n21241 31956\n61932 92958\n88488 100000\n59324 89064\n46613 69980\n17659 26564\n16430 24701\n38228 57475\n28488 42803\n10960 16504\n13816 20800\n51128 76746\n43798 65775\n98051 100000\n70545 100000\n5297 7966\n47163 70799\n42602 63995\n56361 84587\n1459 2198\n56733 85135\n13018 19610\n4354 6531\n98516 100000\n13834 20832\n71561 100000\n4930 7400\n12181 18358\n83711 100000\n20459 30786\n6333 9509\n13466 20275\n62864 94362\n72854 100000\n49564 74427\n45605 68469\n7995 12049\n66408 99626\n76105 100000\n75868 100000\n86696 100000\n1891 2862\n81152 100000\n72141 100000\n41495 62332\n56416 84667\n92712 100000\n75431 100000\n541 821\n51634 77501\n90281 100000\n39144 58839\n9036 13609\n69001 100000\n19389 29165\n66766 100000\n13469 20279\n13680 20591\n69782 100000\n44970 67514\n65555 98330\n49219 73914\n8308 12524\n72848 100000\n30535 45893\n98523 100000\n11941 18007\n77633 100000\n12344 18603\n73546 100000\n893 1356\n91267 100000\n55726 83645\n31731 47720\n69787 100000\n4782 7175\n33372 50187\n47544 71373\n98294 100000\n20498 30847\n12791 19265\n81808 100000\n59110 88732\n55750 83680\n98271 100000\n10166 15311\n38038 57184\n45161 67796\n95508 100000\n77597 100000\n32649 49121\n49248 73961\n93864 100000\n51818 77778\n72443 100000\n77998 100000\n35487 53342\n59075 88682\n54818 82278\n86378 100000\n83426 100000\n64865 97321\n21393 32179\n26460 39762\n58389 87643\n12402 18688\n18556 27914\n92439 100000\n48620 73025\n8118 12231\n87295 100000\n34576 51973\n17037 25619\n7643 11522\n42468 63783\n68482 100000\n48712 73166\n67615 100000\n22209 33408\n343 514\n34427 51760\n46473 69783\n53090 79683\n76499 100000\n42878 64397\n47449 71232\n62514 93825\n50226 75412\n11117 16739\n26594 39953\n71689 100000\n78288 100000\n20226 30425\n52735 79161\n3788 5684\n54285 81488\n25781 38755\n30099 45225\n81397 100000\n46548 69892\n27820 41813\n2275 3439\n88072 100000\n69980 100000\n51226 76891\n95472 100000\n31286 47042\n41890 62925\n35355 53151\n22932 34483\n874 1326\n36272 54549\n16925 25451\n14621 22017\n75334 100000\n23634 35548\n23703 35660\n67385 100000\n55163 82797\n87675 100000\n17070 25671\n54530 81844\n65334 98004\n32453 48816\n82081 100000\n75231 100000\n49754 74712\n18195 27381\n91692 100000\n14465 21782\n44682 67071\n55181 82825\n52143 78276\n7443 11213\n64621 96951\n82744 100000\n44093 66217\n67181 100000\n90424 100000\n95900 100000\n12592 18963\n89638 100000\n66787 100000\n90518 100000\n39931 59988\n47417 71183\n74259 100000\n81401 100000\n3779 5671\n88735 100000\n79601 100000\n12353 18617\n14668 22086\n73426 100000\n57106 85709\n49817 74802\n55084 82672\n62573 93921\n19199 28881\n55214 82872\n10159 15299\n21383 32164\n2879 4349\n81049 100000\n58220 87380\n20794 31291\n76564 100000\n47147 70773\n55999 84054\n88179 100000\n23572 35454\n21820 32823\n53588 80422\n18936 28492\n72535 100000\n94377 100000\n68105 100000\n89962 100000\n7842 11814\n18592 27971\n63970 95986\n38478 57856\n11736 17701\n23557 35428\n71120 100000\n14299 21532\n45363 68111\n54509 81813\n75897 100000\n28317 42543\n75015 100000\n70154 100000\n46606 69971\n35964 54058\n89820 100000\n53674 80550\n19887 29910\n64842 97284\n92115 100000\n47939 71979\n84875 100000\n34362 51667\n96295 100000\n41685 62615\n19557 29411\n98834 100000\n46938 70474\n46834 70320\n7227 10887\n39780 59768\n23992 36089\n38598 58034\n62664 94058\n21671 32598\n29947 45001\n57292 85986\n77284 100000\n91771 100000\n80473 100000\n86337 100000\n8646 13028\n14335 21590\n61544 92381\n93128 100000\n4219 6330\n26829 40320\n83690 100000\n46486 69802\n68556 100000\n55819 83786\n89181 100000\n18057 27175\n45893 68905\n94476 100000\n54226 81388\n12237 18436\n48982 73555\n97694 100000\n39229 58961\n55591 83438\n97894 100000\n60434 90712\n56710 85092\n11826 17833\n32806 49354\n43178 64836\n32229 48478\n70947 100000\n79345 100000\n90781 100000\n13486 20302\n98161 100000\n6508 9783\n34483 51842\n36486 54870\n26514 39838\n75405 100000\n36105 54280\n15574 23411\n88543 100000\n29652 44559\n42995 64572\n40479 60803\n9418 14193\n51032 76600\n68340 100000\n69222 100000\n9987 15035\n60715 91135\n16140 24268\n77885 100000\n88749 100000\n71796 100000\n17355 26107\n72068 100000\n88260 100000\n88132 100000\n6838 10288\n46060 69152\n3861 5799\n51051 76630\n53150 79771\n65781 98668\n65198 97805\n32432 48782\n34727 52212\n25052 37672\n82619 100000\n81253 100000\n82465 100000\n89053 100000\n35212 52931\n35942 54026\n9742 14671\n16714 25131\n85764 100000\n71777 100000\n79538 100000\n37352 56167\n70636 100000\n15413 23176\n12515 18853\n26262 39466\n73606 100000\n67649 100000\n62918 94443\n13347 20102\n45909 68928\n30190 45368\n99442 100000\n83173 100000\n96632 100000\n59976 90030\n34168 51385\n21098 31739\n93648 100000\n82684 100000\n44183 66348\n20809 31314\n81952 100000\n55530 83346\n87898 100000\n80830 100000\n47611 71473\n92434 100000\n37245 56008\n26898 40420\n55848 83827\n84206 100000\n18037 27145\n20352 30624\n12249 18455\n29385 44159\n25060 37682\n78944 100000\n72248 100000\n21541 32390\n81364 100000\n92950 100000\n20830 31346\n76239 100000\n4780 7172\n37092 55781\n68589 100000\n74208 100000\n61681 92584\n27984 42055\n78831 100000\n9644 14529\n45433 68215\n80303 100000\n54053 81125\n44577 66911\n90732 100000\n19766 29723\n60248 90430\n27523 41363\n2128 3205\n44641 67009\n82412 100000\n7737 11666\n11594 17474\n64295 96464\n21600 32487\n21654 32571\n85083 100000\n61213 91888\n64052 96108\n72866 100000\n92958 100000\n32391 48721\n73180 100000\n67726 100000\n11845 17861\n21973 33055\n11449 17247\n24267 36497\n91323 100000\n67942 100000\n29246 43951\n4687 7032\n45774 68719\n64335 96522\n22473 33805\n77772 100000\n43324 65066\n59928 89961\n57263 85941\n88215 100000\n11599 17481\n31203 46916\n33469 50330\n55660 83539\n21411 32205\n79033 100000\n49238 73944\n63133 94764\n12320 18567\n48289 72525\n40418 60712\n28878 43397\n9389 14149\n27072 40682\n1007 1523\n61890 92896\n34598 52008\n59510 89338\n76156 100000\n42480 63804\n10958 16502\n75133 100000\n58677 88077\n62268 93462\n88787 100000\n19129 28778\n60454 90742\n1119 1692\n16093 24195\n92032 100000\n14093 21207\n19055 28674\n67114 100000\n48020 72104\n94786 100000\n26210 39390\n30940 46509\n85212 100000\n44095 66220\n88105 100000\n85674 100000\n20108 30252\n77979 100000\n75564 100000\n20645 31063\n31470 47324\n23150 34815\n5101 7653\n80603 100000\n33923 51012\n98463 100000\n10189 15345\n11862 17888\n59683 89594\n40955 61519\n54140 81263\n34648 52087\n60971 91534\n6029 9048\n65118 97683\n2868 4331\n98058 100000\n37805 56844\n77953 100000\n8773 13214\n16913 25430\n61907 92923\n58478 87776\n33020 49675\n11684 17616\n23825 35847\n65373 98058\n35682 53637\n34358 51661\n23741 35717\n8630 13007\n35256 52996\n59406 89189\n75417 100000\n71979 100000\n80795 100000\n41364 62127\n62607 93976\n37346 56158\n49568 74435\n68528 100000\n61714 92633\n29186 43860\n39945 60012\n6860 10321\n16753 25187\n15941 23955\n62360 93596\n78416 100000\n87976 100000\n92741 100000\n57871 86855\n26264 39470\n93082 100000\n98740 100000\n87607 100000\n8995 13552\n8740 13160\n99411 100000\n58141 87265\n86233 100000\n24168 36352\n38113 57295\n54100 81199\n53811 80765\n32656 49131\n81600 100000\n1749 2651\n21408 32202\n37512 56408\n41581 62456\n33599 50525\n64972 97468\n83176 100000\n47335 71063\n81739 100000\n2714 4100\n45403 68170\n70659 100000\n39040 58695\n52367 78619\n28603 42985\n57852 86826\n26388 39656\n93387 100000\n70571 100000\n31531 47415\n51721 77633\n9587 14438\n27590 41464\n21270 32000\n92398 100000\n89580 100000\n55651 83526\n60618 90988\n32462 48829\n21659 32577\n67478 100000\n9416 14190\n23687 35634\n94917 100000\n90744 100000\n63034 94612\n52258 78450\n39264 59013\n55085 82674\n46884 70401\n79474 100000\n87941 100000\n76609 100000\n10543 15878\n79426 100000\n1008 1525\n23084 34713\n2166 3268\n54959 82486\n20619 31024\n79102 100000\n89757 100000\n31872 47930\n62134 93260\n29566 44435\n57920 86930\n20271 30498\n65917 98873\n88578 100000\n81998 100000\n47359 71095\n12608 18988\n77910 100000\n58444 87725\n7224 10883\n74545 100000\n46334 69571\n66464 99713\n83295 100000\n91194 100000\n78237 100000\n50602 75965\n90819 100000\n2370 3582\n88542 100000\n93088 100000\n33725 50716\n20106 30250\n26280 39494\n76164 100000\n6237 9357\n99375 100000\n53528 80334\n72744 100000\n88751 100000\n50592 75949\n34467 51820\n20952 31530\n71713 100000\n17522 26354\n76306 100000\n68663 100000\n5504 8266\n75485 100000\n26091 39211\n52933 79454\n80227 100000\n88550 100000\n75411 100000\n85509 100000\n36002 54120\n1595 2410\n58202 87353\n19460 29267\n95121 100000\n94062 100000\n69220 100000\n45379 68136\n81484 100000\n7415 11168\n63971 95987\n74877 100000\n23143 34803\n59579 89436\n63021 94595\n98594 100000\n92361 100000\n65842 98761\n32566 48988\n1904 2881\n55519 83330\n80063 100000\n55868 83854\n71137 100000\n24943 37505\n24859 37385\n72503 100000\n67526 100000\n46739 70169\n83901 100000\n29799 44780\n75719 100000\n84572 100000\n70480 100000\n84416 100000\n78578 100000\n98614 100000\n91105 100000\n79160 100000\n67255 100000\n78105 100000\n99728 100000\n19124 28771\n93070 100000\n53771 80699\n50148 75291\n64465 96716\n82474 100000\n74804 100000\n29416 44210\n42532 63883\n20050 30164\n41063 61673\n55168 82804\n33627 50566\n52130 78257\n92401 100000\n16372 24615\n42279 63498\n17119 25738\n1265 1906\n76721 100000\n60499 90810\n2466 3727\n69468 100000\n28708 43137\n54884 82372\n43537 65384\n21924 32980\n74343 100000\n12563 18922\n61167 91818\n68955 100000\n89521 100000\n37338 56147\n4680 7021\n15261 22958\n3203 4836\n10654 16043\n77747 100000\n89173 100000\n53719 80619\n57918 86927\n68745 100000\n81483 100000\n87720 100000\n98449 100000\n97600 100000\n24082 36219\n55021 82577\n52986 79536\n44955 67489\n81161 100000\n91972 100000\n16416 24681\n49873 74892\n35394 53203\n75344 100000\n54284 81486\n89220 100000\n82206 100000\n87772 100000\n73383 100000\n70203 100000\n79295 100000\n77273 100000\n94895 100000\n27279 40994\n63575 95414\n40888 61420\n60076 90178\n74424 100000\n17564 26418\n50659 76047\n17796 26774\n32841 49404\n23324 35074\n48707 73160\n28981 43553\n96909 100000\n95070 100000\n35747 53739\n99377 100000\n81344 100000\n63055 94647\n93627 100000\n51912 77927\n98177 100000\n72194 100000\n57020 85574\n40710 61153\n73586 100000\n21055 31677\n45879 68880\n24014 36124\n42971 64538\n64627 96959\n30184 45357\n59868 89869\n65966 98952\n30681 46118\n95853 100000\n67427 100000\n66961 100000\n45091 67692\n88702 100000\n50028 75122\n63073 94674\n50361 75610\n10007 15065\n10430 15722\n20051 30166\n26110 39239\n60795 91260\n88957 100000\n21406 32198\n70459 100000\n22399 33688\n75980 100000\n33427 50271\n81027 100000\n49977 75043\n35398 53210\n30600 45992\n43672 65588\n48995 73575\n87816 100000\n35290 53051\n81797 100000\n59220 88900\n51228 76894\n31750 47748\n17996 27078\n28565 42925\n26815 40295\n52381 78643\n22438 33747\n60626 91002\n84085 100000\n62251 93437\n52377 78636\n35549 53437\n12773 19239\n19404 29187\n47138 70760\n99965 100000\n96283 100000\n92837 100000\n588 894\n46980 70533\n15585 23427\n74107 100000\n71284 100000\n75761 100000\n19002 28594\n66154 99247\n39927 59983\n27595 41471\n42139 63281\n62232 93410\n96411 100000\n85316 100000\n7790 11743\n83706 100000\n44382 66629\n71640 100000\n85057 100000\n39114 58802\n29687 44614\n76168 100000\n57775 86713\n77103 100000\n36382 54718\n41472 62294\n46551 69896\n36675 55153\n82372 100000\n16992 25549\n45251 67939\n98469 100000\n28405 42682\n45847 68832\n57459 86234\n37141 55853\n82964 100000\n32023 48152\n33605 50534\n77424 100000\n25084 37720\n17267 25964\n49784 74757\n50943 76469\n89452 100000\n41158 61815\n35635 53566\n56646 84997\n69030 100000\n40300 60535\n75926 100000\n73945 100000\n28486 42800\n26679 40082\n67593 100000\n58884 88395\n75729 100000\n72405 100000\n26774 40233\n15746 23657\n66934 100000\n7718 11633\n87575 100000\n45990 69051\n11385 17141\n48506 72862\n8879 13369\n39731 59704\n87320 100000\n52497 78812\n73142 100000\n12379 18657\n80680 100000\n65349 98023\n46564 69914\n58527 87850\n73764 100000\n40382 60658\n82694 100000\n84559 100000\n99926 100000\n31729 47718\n22851 34365\n60055 90149\n93286 100000\n73078 100000\n66597 99908\n31803 47824\n17319 26046\n79391 100000\n809 1228\n55424 83184\n52476 78779\n21613 32507\n22486 33821\n15381 23126\n70824 100000\n89682 100000\n21965 33043\n68416 100000\n13823 20814\n20715 31170\n24997 37586\n47627 71498\n5093 7643\n98525 100000\n25199 37890\n58819 88299\n80578 100000\n95050 100000\n30927 46487\n16742 25170\n96569 100000\n91313 100000\n4979 7471\n80152 100000\n30309 45540\n12953 19514\n57495 86287\n66646 99984\n72362 100000\n31356 47149\n18838 28348\n66235 99367\n58452 87738\n96612 100000\n20116 30265\n67937 100000\n50151 75296\n20723 31182\n8042 12117\n69746 100000\n41113 61751\n53412 80164\n132 198\n53478 80260\n37881 56960\n36092 54261\n40735 61194\n50239 75432\n23539 35399\n20703 31153\n84768 100000\n62063 93153\n82476 100000\n96872 100000\n71044 100000\n85732 100000\n69064 100000\n78715 100000\n21 28\n5285 7945\n51450 77231\n83143 100000\n75131 100000\n90733 100000\n58676 88075\n44276 66476\n69806 100000\n82462 100000\n90537 100000\n45401 68166\n89211 100000\n83827 100000\n75400 100000\n57421 86174\n38090 57257\n94243 100000\n74818 100000\n76843 100000\n35213 52933\n6354 9544\n15514 23322\n78264 100000\n48159 72328\n22307 33558\n6513 9792\n54387 81633\n18549 27904\n31733 47723\n23461 35280\n86324 100000\n95769 100000\n13732 20668\n69259 100000\n17508 26334\n46063 69156\n48691 73133\n96435 100000\n61523 92351\n31078 46720\n45088 67687\n34520 51893\n55403 83153\n60233 90408\n60308 90524\n95726 100000\n67375 100000\n40410 60699\n70710 100000\n7933 11952\n2443 3694\n85512 100000\n9555 14392\n84387 100000\n69044 100000\n54144 81269\n53097 79693\n97775 100000\n13937 20989\n56440 84701\n45477 68283\n24988 37572\n10537 15871\n72303 100000\n378 564\n27361 41117\n9945 14970\n47598 71451\n72977 100000\n58470 87764\n60230 90403\n8259 12448\n55619 83482\n88867 100000\n57553 86376\n4698 7050\n70362 100000\n2397 3625\n28834 43333\n95941 100000\n57015 85568\n8888 13383\n8676 13073\n27264 40972\n81393 100000\n68384 100000\n83314 100000\n24982 37564\n28104 42224\n74097 100000\n17370 26129\n40943 61501\n58409 87670\n49217 73912\n30360 45618\n81501 100000\n78222 100000\n70941 100000\n17516 26347\n29243 43947\n46602 69964\n84291 100000\n27697 41628\n35257 52998\n28278 42486\n20548 30921\n7929 11946\n54506 81810\n12624 19011\n30102 45230\n68488 100000\n30818 46317\n84755 100000\n67816 100000\n72956 100000\n28051 42146\n65627 98440\n20957 31538\n60204 90363\n74267 100000\n47341 71071\n89678 100000\n90415 100000\n39531 59410\n30643 46057\n15230 22911\n77656 100000\n56905 85401\n77790 100000\n2962 4470\n12430 18734\n56401 84646\n79016 100000\n18818 28317\n13453 20257\n28331 42566\n61961 93001\n14609 21998\n15608 23463\n45389 68150\n95831 100000\n4514 6771\n26456 39755\n80864 100000\n97614 100000\n36592 55025\n25463 38287\n45071 67665\n21252 31973\n19603 29476\n21359 32129\n3458 5194\n3806 5715\n98755 100000\n83939 100000\n86135 100000\n73490 100000\n21371 32145\n21894 32937\n54751 82175\n73832 100000\n61315 92037\n5610 8423\n76016 100000\n64391 96603\n78073 100000\n98682 100000\n33869 50929\n39555 59444\n29905 44938\n50136 75273\n77050 100000\n83890 100000\n20162 30331\n32903 49497\n32448 48808\n36444 54809\n60583 90933\n45736 68664\n36503 54896\n87815 100000\n81850 100000\n54156 81287\n39977 60058\n87824 100000\n92781 100000\n59977 90031\n71427 100000\n18974 28551\n59585 89447\n48425 72731\n48307 72555\n70638 100000\n82337 100000\n47880 71881\n79848 100000\n45613 68481\n1013 1534\n34446 51790\n90665 100000\n39049 58710\n18480 27807\n23448 35260\n89347 100000\n80691 100000\n72739 100000\n7741 11673\n3243 4889\n79852 100000\n18338 27594\n51108 76717\n13352 20109\n83432 100000\n95032 100000\n39705 59669\n14468 21787\n87729 100000\n57916 86925\n86410 100000\n1215 1834\n950 1438\n97514 100000\n73225 100000\n23416 35214\n90169 100000\n42550 63909\n56009 84070\n31388 47199\n32532 48937\n93334 100000\n68553 100000\n95111 100000\n87245 100000\n88671 100000\n56429 84685\n12102 18250\n85239 100000\n80826 100000\n11853 17874\n97672 100000\n64385 96594\n79924 100000\n32282 48563\n39994 60087\n12269 18485\n77412 100000\n37199 55938\n21792 32779\n91748 100000\n76461 100000\n75652 100000\n44384 66632\n81024 100000\n8089 12189\n32751 49265\n53884 80878\n86301 100000\n83007 100000\n5968 8961\n63678 95562\n33883 50953\n12667 19077\n19756 29708\n92253 100000\n91822 100000\n59861 89859\n71388 100000\n80348 100000\n38860 58427\n33455 50309\n35506 53370\n62822 94301\n75004 100000\n76586 100000\n21434 32244\n73746 100000\n32770 49297\n77966 100000\n93069 100000\n87464 100000\n24141 36310\n27767 41733\n90534 100000\n34643 52079\n86687 100000\n40918 61463\n7019 10573\n49829 74821\n47343 71073\n68445 100000\n92286 100000\n30562 45932\n50017 75107\n31291 47049\n842 1279\n6468 9726\n56281 84475\n27976 42042\n79850 100000\n6308 9468\n90446 100000\n97635 100000\n54882 82368\n57961 86990\n19336 29083\n55187 82834\n67016 100000\n67969 100000\n80351 100000\n77428 100000\n97476 100000\n86816 100000\n27381 41150\n96889 100000\n85574 100000\n745 1132\n60339 90572\n80668 100000\n9475 14277\n76323 100000\n57243 85915\n72368 100000\n34105 51289\n73028 100000\n42289 63514\n48227 72429\n1706 2583\n46601 69963\n32548 48960\n56270 84458\n41503 62347\n83437 100000\n42418 63705\n56623 84963\n48886 73413\n42557 63919\n18096 27235\n75913 100000\n68475 100000\n87647 100000\n22312 33566\n16147 24278\n74073 100000\n5786 8681\n35897 53960\n32333 48638\n45225 67893\n47182 70827\n72408 100000\n40575 60951\n52196 78357\n99937 100000\n14758 22223\n11527 17369\n88133 100000\n4304 6458\n26906 40430\n50842 76317\n14632 22031\n9072 13662\n53352 80072\n45700 68608\n54342 81572\n95962 100000\n42682 64112\n68718 100000\n24977 37556\n55766 83703\n67493 100000\n58600 87964\n36399 54742\n2665 4026\n36102 54276\n29123 43766\n26820 40304\n8066 12153\n62584 93939\n17010 25576\n70645 100000\n85968 100000\n64683 97047\n30488 45814\n53315 80015\n11328 17057\n55998 84052\n65658 98485\n93709 100000\n34152 51361\n91693 100000\n93413 100000\n41474 62297\n49853 74857\n52562 78908\n77994 100000\n52291 78502\n68097 100000\n72939 100000\n41539 62396\n31449 47294\n94036 100000\n75079 100000\n98234 100000\n95034 100000\n91973 100000\n46123 69246\n4659 6994\n39543 59428\n20805 31307\n61076 91689\n5960 8949\n26234 39424\n15263 22960\n45145 67771\n37136 55847\n66681 100000\n48174 72347\n38006 57138\n23518 35367\n77285 100000\n77452 100000\n37387 56221\n65379 98066\n3171 4785\n9693 14598\n75480 100000\n57547 86366\n83700 100000\n22715 34164\n40097 60241\n25485 38315\n34646 52084\n77468 100000\n22565 33937\n83548 100000\n44911 67417\n93952 100000\n2196 3315\n83210 100000\n58867 88369\n77522 100000\n54143 81268\n92808 100000\n28541 42889\n47614 71478\n33878 50944\n55368 83101\n32285 48567\n97896 100000\n59695 89613\n7218 10875\n93398 100000\n74478 100000\n22987 34567\n58581 87935\n85922 100000\n74875 100000\n31875 47935\n80145 100000\n18857 28378\n58622 87994\n96086 100000\n36326 54632\n84273 100000\n87645 100000\n35590 53500\n32360 48677\n38121 57307\n23489 35323\n43989 66060\n35379 53183\n73418 100000\n23719 35684\n52703 79118\n19535 29380\n11459 17265\n57594 86439\n76956 100000\n39660 59601\n11731 17693\n79084 100000\n68566 100000\n76437 100000\n81607 100000\n91073 100000\n25260 37979\n9706 14618\n6530 9819\n63014 94586\n9465 14261\n53662 80532\n62889 94399\n9768 14711\n97724 100000\n28226 42404\n76507 100000\n53085 79675\n54504 81806\n25838 38837\n62606 93975\n22719 34171\n55394 83139\n69565 100000\n52189 78345\n99468 100000\n58029 87096\n27931 41974\n48283 72516\n6697 10070\n20874 31413\n91037 100000\n72807 100000\n46342 69584\n82385 100000\n82524 100000\n56490 84770\n1517 2291\n85563 100000\n90867 100000\n47893 71904\n96346 100000\n47981 72047\n51666 77552\n68018 100000\n88874 100000\n66358 99552\n97763 100000\n71270 100000\n94180 100000\n94900 100000\n81012 100000\n20660 31085\n56434 84694\n92452 100000\n67380 100000\n88691 100000\n88509 100000\n44064 66172\n92726 100000\n17337 26080\n76678 100000\n19340 29088\n28984 43557\n96961 100000\n46865 70372\n75481 100000\n91386 100000\n36416 54769\n52237 78418\n42735 64190\n99131 100000\n88682 100000\n23757 35742\n41142 61790\n29062 43675\n42514 63855\n28642 43046\n11246 16937\n27532 41379\n9694 14600\n51235 76905\n21630 32535\n26978 40533\n58368 87614\n6438 9683\n96611 100000\n9655 14547\n4895 7345\n42310 63546\n63479 95264\n32848 49417\n1467 2211\n53133 79744\n54718 82123\n48708 73161\n39228 58959\n54411 81666\n3416 5138\n83997 100000\n26782 40244\n43356 65115\n5857 8789\n91123 100000\n46829 70311\n79491 100000\n24055 36182\n3531 5299\n8138 12262\n71299 100000\n30318 45555\n88715 100000\n77706 100000\n41453 62262\n35659 53599\n84596 100000\n48680 73114\n79725 100000\n4651 6982\n62471 93763\n77978 100000\n27743 41697\n75594 100000\n38229 57476\n75628 100000\n76415 100000\n6267 9407\n93188 100000\n69611 100000\n18934 28489\n71659 100000\n92953 100000\n67108 100000\n59771 89729\n14012 21096\n58875 88380\n8789 13239\n28527 42866\n72463 100000\n5693 8542\n31307 47073\n87657 100000\n86066 100000\n31161 46850\n60036 90119\n29912 44949\n20466 30798\n67091 100000\n90071 100000\n73679 100000\n35449 53289\n71272 100000\n1062 1605\n16623 24994\n2935 4430\n53512 80309\n83702 100000\n7024 10581\n80927 100000\n95264 100000\n73434 100000\n78055 100000\n41159 61816\n75744 100000\n53617 80467\n16810 25271\n39634 59562\n27927 41966\n91184 100000\n96144 100000\n16186 24339\n28148 42290\n12196 18379\n89017 100000\n14035 21130\n5012 7523\n4089 6139\n92999 100000\n58700 88112\n19730 29671\n80955 100000\n46358 69607\n22436 33745\n41391 62166\n61455 92246\n704 1070\n39431 59265\n21294 32039\n10830 16306\n46702 70112\n42105 63235\n44225 66404\n96188 100000\n60790 91251\n23154 34820\n65486 98230\n45039 67619\n58111 87222\n16728 25150\n44923 67438\n50572 75920\n8972 13515\n40342 60600\n85973 100000\n5155 7742\n48648 73066\n90263 100000\n28627 43024\n1980 2990\n27220 40905\n83609 100000\n65978 98970\n4871 7312\n61990 93040\n44209 66384\n66134 99214\n80911 100000\n33120 49822\n286 428\n91209 100000\n86468 100000\n8603 12964\n83037 100000\n52154 78291\n41976 63052\n48688 73128\n94455 100000\n37897 56984\n22900 34439\n65251 97885\n30662 46083\n73232 100000\n47025 70602\n77363 100000\n75951 100000\n15037 22637\n48992 73570\n80084 100000\n11612 17503\n25102 37747\n97553 100000\n27848 41853\n21280 32015\n32676 49156\n58500 87808\n9434 14217\n29988 45059\n62745 94182\n66046 99075\n30800 46289\n99787 100000\n17763 26724\n7385 11125\n64829 97263\n51812 77768\n18036 27143\n50992 76540\n72881 100000\n34884 52451\n10202 15364\n79075 100000\n34278 51543\n38237 57490\n3940 5916\n74243 100000\n95650 100000\n39290 59054\n8256 12444\n1360 2050\n16858 25344\n92847 100000\n54764 82196\n63829 95782\n33218 49967\n308 460\n49902 74932\n1826 2771\n42499 63832\n18737 28194\n7768 11716\n90842 100000\n64928 97405\n37386 56219\n48230 72434\n42717 64165\n4333 6502\n40499 60830\n73963 100000\n5057 7590\n31605 47532\n20750 31226\n58593 87953\n81323 100000\n47436 71212\n1848 2802\n67943 100000\n56356 84579\n66516 99788\n87224 100000\n88416 100000\n60419 90688\n507 767\n91666 100000\n64623 96954\n69016 100000\n33643 50591\n13655 20556\n59963 90012\n76042 100000\n82757 100000\n13417 20200\n40452 60763\n58798 88267\n42957 64516\n22229 33438\n83310 100000\n38645 58102\n72981 100000\n16113 24226\n84867 100000\n2381 3601\n83807 100000\n50698 76104\n43682 65602\n46311 69536\n19512 29346\n67712 100000\n61847 92831\n39914 59964\n19396 29175\n18931 28484\n97764 100000\n74238 100000\n66302 99467\n60195 90350\n97370 100000\n96957 100000\n16037 24111\n61061 91667\n69627 100000\n77472 100000\n93436 100000\n17482 26291\n3810 5721\n32386 48714\n50802 76257\n92672 100000\n23252 34961\n70893 100000\n76278 100000\n4586 6882\n34201 51432\n28031 42120\n31022 46637\n9548 14382\n56012 84076\n90485 100000\n75054 100000\n79371 100000\n74214 100000\n14350 21613\n84030 100000\n13091 19716\n5886 8837\n60725 91148\n96326 100000\n51382 77134\n31215 46935\n27189 40858\n99091 100000\n2229 3366\n10966 16513\n24902 37447\n88566 100000\n49923 74964\n59059 88657\n14183 21350\n15988 24030\n19385 29159\n41382 62154\n72675 100000\n98531 100000\n35575 53476\n95714 100000\n71061 100000\n9896 14897\n42867 64382\n22936 34489\n70679 100000\n44076 66189\n92611 100000\n92403 100000\n75277 100000\n97979 100000\n83375 100000\n16461 24747\n1574 2377\n72398 100000\n29292 44022\n7699 11607\n65754 98628\n5548 8329\n16863 25350\n54023 81081\n79139 100000\n41555 62420\n22701 34140\n73792 100000\n45160 67795\n71718 100000\n71174 100000\n84538 100000\n57156 85786\n37208 55953\n12633 19027\n17857 26867\n31937 48025\n64484 96746\n50315 75541\n40160 60336\n30459 45772\n91308 100000\n88807 100000\n12601 18978\n84588 100000\n71178 100000\n78930 100000\n54038 81104\n41387 62160\n55033 82595\n9586 14437\n19251 28957\n21197 31889\n4000 6007\n91013 100000\n43707 65637\n83922 100000\n91725 100000\n1356 2044\n8029 12098\n88928 100000\n16450 24731\n56811 85259\n70807 100000\n13868 20884\n66874 100000\n27553 41407\n344 515\n78863 100000\n69868 100000\n46485 69800\n89895 100000\n17907 26944\n96688 100000\n63124 94751\n7370 11104\n38112 57293\n86251 100000\n35100 52766\n25787 38762\n82726 100000\n42382 63654\n29930 44974\n45464 68263\n12745 19199\n76189 100000\n22545 33906\n59893 89905\n21472 32297\n52757 79192\n27479 41302\n72523 100000\n78294 100000\n41394 62171\n24540 36905\n66330 99509\n62994 94555\n58302 87516\n47949 71997\n85705 100000\n32665 49141\n69671 100000\n92509 100000\n23636 35551\n97273 100000\n98456 100000\n86927 100000\n24346 36612\n52252 78440\n93953 100000\n29407 44195\n14383 21663\n3607 5410\n14582 21959\n59185 88846\n76811 100000\n92483 100000\n11143 16781\n5250 7886\n76774 100000\n89083 100000\n45589 68446\n36579 55005\n54093 81186\n76347 100000\n38182 57400\n53586 80418\n32957 49583\n55567 83406\n74247 100000\n93875 100000\n95872 100000\n47579 71422\n25023 37626\n95773 100000\n48336 72598\n30013 45095\n2284 3450\n52437 78726\n1483 2236\n19 26\n6088 9136\n7623 11491\n63172 94819\n78315 100000\n94808 100000\n33369 50181\n89944 100000\n33513 50397\n12594 18967\n71128 100000\n76418 100000\n62783 94241\n42876 64395\n69160 100000\n48714 73169\n67758 100000\n89901 100000\n78266 100000\n41042 61646\n8141 12268\n46544 69886\n59672 89578\n31703 47681\n62803 94272\n87127 100000\n60049 90140\n25484 38313\n9241 13919\n22387 33670\n49901 74931\n97392 100000\n68639 100000\n10869 16367\n28639 43042\n38364 57681\n30725 46188\n24188 36380\n12913 19454\n35295 53058\n80623 100000\n83408 100000\n4791 7189\n79182 100000\n29020 43610\n89821 100000\n63828 95780\n21905 32953\n76281 100000\n19621 29504\n34786 52301\n68863 100000\n88615 100000\n82138 100000\n65995 98995\n60545 90875\n48031 72123\n33318 50109\n17348 26096\n12728 19168\n49404 74189\n37890 56973\n2703 4083\n63433 95200\n87687 100000\n23998 36098\n20508 30862\n41604 62492\n98213 100000\n88824 100000\n27427 41225\n19944 29995\n97796 100000\n50697 76102\n89200 100000\n62037 93115\n15278 22978\n95337 100000\n44865 67342\n67548 100000\n29868 44884\n67763 100000\n62461 93750\n23852 35891\n33545 50447\n78296 100000\n12492 18817\n9879 14870\n46510 69836\n56456 84722\n79657 100000\n54974 82508\n25858 38869\n1722 2608\n57155 85784\n77648 100000\n98584 100000\n54668 82048\n45004 67567\n85684 100000\n90174 100000\n30527 45879\n43487 65309\n78022 100000\n84282 100000\n5609 8422\n66396 99610\n12394 18678\n60283 90487\n8610 12976\n57764 86697\n66830 100000\n7740 11671\n41151 61804\n81109 100000\n54998 82545\n85376 100000\n86850 100000\n35612 53531\n92738 100000\n84829 100000\n50604 75968\n11859 17882\n71893 100000\n5171 7766\n62912 94434\n31250 46989\n34558 51947\n86869 100000\n58246 87423\n63226 94898\n76144 100000\n2364 3574\n64546 96841\n53296 79985\n24762 37238\n87909 100000\n82048 100000\n96129 100000\n30558 45927\n40973 61545\n14590 21971\n68696 100000\n5750 8626\n84349 100000\n6754 10160\n64686 97051\n50486 75794\n23993 36090\n53012 79569\n75066 100000\n1092 1653\n42734 64189\n45843 68826\n74490 100000\n78642 100000\n70505 100000\n95746 100000\n30786 46271\n82688 100000\n79869 100000\n93922 100000\n36796 55326\n55995 84047\n14952 22508\n90012 100000\n2167 3270\n53039 79609\n2045 3082\n79372 100000\n97474 100000\n11382 17136\n86465 100000\n52952 79483\n93787 100000\n73924 100000\n3989 5991\n84709 100000\n85878 100000\n8359 12599\n40684 61115\n39190 58904\n67861 100000\n40594 60981\n71809 100000\n19106 28746\n56019 84087\n5839 8763\n67950 100000\n41727 62675\n53177 79811\n28181 42341\n69092 100000\n35081 52737\n20061 30180\n59242 88934\n47585 71430\n1250 1881\n85673 100000\n38824 58372\n72930 100000\n51370 77115\n34118 51310\n90726 100000\n86491 100000\n74426 100000\n16082 24178\n40583 60963\n79956 100000\n1760 2669\n50292 75508\n45484 68294\n79807 100000\n58625 87997\n39183 58892\n38994 58632\n95233 100000\n68765 100000\n2614 3949\n32174 48391\n76835 100000\n64675 97035\n15983 24021\n72659 100000\n52909 79417\n61772 92718\n31000 46602\n92020 100000\n23386 35172\n7528 11347\n45865 68859\n22507 33854\n37230 55987\n64822 97254\n45971 69020\n55025 82583\n94719 100000\n4413 6624\n22914 34458\n15138 22783\n27363 41120\n66585 99892\n22541 33900\n87380 100000\n13500 20322\n52091 78199\n46639 70019\n39155 58856\n26188 39356\n69196 100000\n65586 98376\n32226 48474\n69366 100000\n21245 31963\n57086 85678\n76138 100000\n58513 87827\n31521 47401\n80317 100000\n96110 100000\n58175 87317\n94991 100000\n84337 100000\n63728 95631\n98267 100000\n42345 63601\n21748 32715\n6510 9786\n17831 26827\n62369 93610\n27972 42037\n54095 81190\n51684 77581\n15213 22886\n49674 74593\n30254 45460\n55026 82584\n17031 25609\n74822 100000\n44220 66397\n83368 100000\n57835 86802\n34865 52425\n16273 24469\n43259 64963\n77651 100000\n86034 100000\n79305 100000\n45259 67951\n50319 75549\n99149 100000\n73400 100000\n67528 100000\n11279 16985\n36141 54334\n23436 35243\n62602 93968\n33688 50658\n81131 100000\n70552 100000\n7032 10594\n81282 100000\n25798 38776\n81819 100000\n60943 91488\n90177 100000\n50462 75760\n2969 4478\n27777 41750\n57569 86400\n93347 100000\n91457 100000\n90582 100000\n49739 74685\n58273 87466\n1550 2344\n60152 90292\n92492 100000\n14408 21700\n46738 70167\n75199 100000\n99794 100000\n42792 64274\n67929 100000\n93074 100000\n70591 100000\n42307 63542\n54978 82514\n20567 30947\n72139 100000\n60079 90184\n41907 62950\n71399 100000\n23805 35816\n86836 100000\n8377 12630\n74224 100000\n77614 100000\n25846 38850\n58679 88080\n8909 13420\n91966 100000\n51488 77287\n9009 13573\n7072 10652\n68490 100000\n57055 85628\n34899 52477\n34464 51816\n93698 100000\n53269 79946\n84216 100000\n37244 56006\n84271 100000\n12173 18347\n43226 64908\n75542 100000\n6085 9131\n22324 33583\n1863 2826\n92377 100000\n19207 28892\n2981 4495\n28886 43406\n63372 95109\n87674 100000\n28892 43415\n54415 81672\n58276 87471\n12775 19243\n6567 9868\n65864 98797\n43354 65112\n54409 81664\n52213 78384\n55467 83255\n73525 100000\n29048 43655\n43214 64887\n80891 100000\n69040 100000\n81425 100000\n12772 19238\n96487 100000\n71530 100000\n15101 22732\n13201 19880\n50358 75606\n46258 69456\n18138 27298\n71002 100000\n51983 78036\n83333 100000\n51076 76670\n3200 4830\n37800 56837\n16924 25449\n73695 100000\n93536 100000\n75876 100000\n20383 30671\n14102 21220\n7294 10993\n95381 100000\n34084 51260\n17925 26972\n65982 98976\n9038 13611\n28333 42570\n4023 6043\n13595 20464\n6998 10539\n53361 80083\n20686 31127\n32765 49289\n57834 86801\n19662 29565\n89441 100000\n21743 32707\n7890 11886\n32477 48848\n66430 99661\n24769 37249\n31062 46697\n64591 96907\n74897 100000\n62669 94066\n88802 100000\n92773 100000\n93636 100000\n53224 79881\n91335 100000\n75474 100000\n91099 100000\n87462 100000\n1493 2252\n74309 100000\n34894 52469\n55637 83506\n47286 70982\n69362 100000\n15165 22819\n33581 50499\n72327 100000\n86624 100000\n77246 100000\n52131 78258\n20810 31315\n93484 100000\n58598 87961\n17283 25991\n63985 96006\n12398 18683\n29538 44389\n91141 100000\n62641 94023\n99184 100000\n78322 100000\n65723 98579\n95012 100000\n60119 90246\n33825 50867\n34299 51573\n69670 100000\n77728 100000\n21706 32654\n99254 100000\n99379 100000\n62651 94038\n43986 66056\n45641 68520\n11487 17311\n57337 86052\n12100 18247\n61960 92999\n26686 40091\n73047 100000\n45027 67601\n27586 41459\n85622 100000\n5788 8683\n47770 71716\n61421 92192\n13241 19935\n19326 29068\n26780 40242\n91326 100000\n82729 100000\n4321 6480\n12698 19123\n63835 95790\n61583 92435\n6891 10367\n42270 63483\n71685 100000\n27346 41095\n57567 86396\n26023 39107\n31882 47944\n22119 33275\n11788 17776\n66842 100000\n2043 3080\n13942 20997\n11689 17624\n43589 65464\n15291 22997\n35507 53371\n27866 41877\n80291 100000\n90094 100000\n48433 72745\n55892 83889\n8511 12828\n71013 100000\n68053 100000\n80235 100000\n50634 76009\n65595 98391\n85360 100000\n54214 81371\n39379 59193\n24430 36736\n78432 100000\n71466 100000\n58531 87855\n26037 39127\n31659 47614\n61993 93044\n73410 100000\n87059 100000\n97262 100000\n28559 42916\n7534 11359\n9734 14659\n37606 56544\n71454 100000\n62441 93721\n30467 45785\n14176 21340\n17946 27003\n25828 38821\n27973 42038\n39556 59446\n79458 100000\n70613 100000\n24601 36999\n35529 53407\n73599 100000\n35636 53567\n18122 27275\n73743 100000\n36790 55318\n69172 100000\n96944 100000\n53685 80566\n21328 32087\n60623 90998\n1392 2098\n41599 62483\n60088 90197\n65502 98256\n66024 99038\n90814 100000\n16071 24160\n88911 100000\n13440 20237\n49181 73856\n35900 53964\n66483 99738\n6277 9422\n11997 18089\n87563 100000\n30616 46017\n86978 100000\n65947 98923\n94237 100000\n55997 84050\n55899 83902\n5555 8337\n60666 91066\n74359 100000\n73716 100000\n86884 100000\n38844 58402\n64152 96254\n24134 36299\n5726 8591\n18500 27837\n46663 70057\n16325 24546\n38360 57675\n49388 74164\n78333 100000\n19686 29603\n97489 100000\n49340 74095\n80210 100000\n97017 100000\n14866 22383\n85892 100000\n32188 48413\n2513 3796\n40991 61569\n50053 75155\n4457 6686\n29542 44395\n2552 3851\n69374 100000\n2609 3940\n20763 31244\n46359 69609\n93801 100000\n8469 12768\n47628 71499\n85844 100000\n21203 31898\n82438 100000\n11123 16748\n35751 53744\n34137 51337\n85340 100000\n5936 8913\n47298 71001\n96456 100000\n83604 100000\n13060 19671\n49051 73658\n87092 100000\n27467 41284\n92964 100000\n46384 69647\n75794 100000\n45354 68095\n76709 100000\n66 98\n14962 22523\n86307 100000\n46906 70432\n31614 47546\n65332 98002\n58520 87838\n35992 54102\n54132 81250\n40429 60726\n72720 100000\n63570 95408\n77208 100000\n9942 14966\n45690 68596\n43162 64813\n87975 100000\n31809 47833\n50499 75811\n79633 100000\n86959 100000\n77278 100000\n5861 8795\n73040 100000\n91063 100000\n82721 100000\n15036 22635\n56725 85121\n25511 38352\n51691 77591\n25775 38748\n28273 42478\n91853 100000\n84826 100000\n74940 100000\n36458 54829\n2068 3116\n17135 25765\n59370 89135\n7832 11801\n58808 88283\n64496 96762\n53656 80523\n3528 5294\n53227 79885\n76046 100000\n58647 88029\n87759 100000\n92424 100000\n54209 81363\n28551 42904\n11303 17020\n34369 51679\n74526 100000\n38811 58351\n19894 29920\n50367 75616\n32067 48221\n67187 100000\n91442 100000\n85560 100000\n9357 14103\n79591 100000\n24740 37209\n85467 100000\n5983 8980\n12733 19176\n84383 100000\n49647 74557\n55278 82966\n22306 33557\n58954 88499\n76266 100000\n9317 14038\n37068 55741\n14676 22099\n96222 100000\n74559 100000\n15601 23455\n88507 100000\n9432 14214\n67083 100000\n51463 77249\n93009 100000\n57388 86126\n943 1429\n57939 86958\n19737 29682\n50000 75079\n59471 89284\n61562 92408\n50580 75932\n6161 9247\n2480 3750\n36443 54808\n2534 3827\n42564 63930\n91367 100000\n72721 100000\n36293 54578\n5142 7719\n57698 86599\n41578 62453\n39445 59285\n93817 100000\n19542 29392\n43223 64903\n10831 16307\n34449 51793\n97588 100000\n20695 31142\n22808 34300\n64002 96031\n44778 67215\n74244 100000\n75872 100000\n98406 100000\n65608 98411\n99774 100000\n99861 100000\n49720 74659\n96696 100000\n50903 76406\n17916 26958\n21351 32116\n14426 21726\n79575 100000\n70574 100000\n17865 26881\n83467 100000\n85773 100000\n61581 92433\n35764 53762\n99458 100000\n42093 63217\n74923 100000\n99494 100000\n45134 67758\n98211 100000\n59026 88607\n4252 6379\n98585 100000\n66316 99487\n96529 100000\n22529 33883\n83812 100000\n667 1014\n73150 100000\n15505 23311\n83814 100000\n56983 85516\n28312 42537\n23309 35049\n42237 63433\n13576 20435\n42785 64265\n63929 95927\n12321 18568\n13041 19641\n3278 4938\n86342 100000\n15447 23224\n96537 100000\n18054 27170\n44795 67238\n7389 11129\n61894 92902\n38388 57716\n52818 79280\n73904 100000\n34316 51597\n90765 100000\n60494 90803\n62395 93653\n2891 4368\n3146 4746\n81219 100000\n27667 41582\n7113 10720\n75771 100000\n10602 15966\n54827 82290\n62381 93628\n91790 100000\n19443 29242\n38676 58148\n12887 19415\n74555 100000\n12940 19494\n49376 74147\n37818 56863\n51171 76812\n259 388\n14067 21174\n82043 100000\n88816 100000\n43461 65271\n25989 39060\n23306 35044\n66470 99722\n21979 33063\n22509 33857\n36134 54325\n63090 94698\n58944 88485\n94456 100000\n42361 63624\n43740 65689\n15324 23044\n94656 100000\n60723 91146\n90372 100000\n37404 56244\n58468 87761\n804 1220\n25678 38600\n47852 71837\n70338 100000\n70339 100000\n53459 80231\n36855 55419\n90216 100000\n97746 100000\n65423 98130\n23491 35327\n50953 76484\n22105 33254\n27897 41920\n38673 58144\n31555 47455\n31454 47301\n88962 100000\n71293 100000\n6627 9959\n60559 90896\n96078 100000\n59208 88879\n49961 75022\n71180 100000\n23129 34783\n14151 21298\n12790 19263\n927 1408\n7408 11156\n23828 35853\n22053 33171\n90913 100000\n14678 22101\n6965 10481\n47113 70724\n31737 47731\n63253 94939\n85367 100000\n21693 32632\n96771 100000\n59546 89389\n19302 29034\n79114 100000\n27061 40666\n79914 100000\n32825 49381\n58675 88074\n64725 97111\n71658 100000\n16573 24916\n41619 62518\n26349 39600\n89894 100000\n17226 25903\n9304 14019\n5415 8138\n88214 100000\n68968 100000\n43575 65442\n28849 43356\n25165 37839\n23546 35408\n61193 91860\n3002 4530\n77531 100000\n77290 100000\n10755 16198\n20183 30362\n84040 100000\n10292 15509\n25830 38823\n92513 100000\n40791 61273\n83924 100000\n49462 74274\n89180 100000\n65688 98530\n23953 36040\n63847 95809\n27250 40951\n50862 76345\n36829 55374\n57681 86571\n60153 90293\n65282 97927\n46748 70182\n15071 22690\n71509 100000\n98215 100000\n87089 100000\n36662 55135\n26129 39267\n81386 100000\n143 213\n17053 25645\n23853 35893\n99195 100000\n77592 100000\n81549 100000\n53274 79953\n48091 72220\n92309 100000\n7871 11859\n60810 91286\n85809 100000\n94954 100000\n2119 3195\n40674 61102\n34352 51653\n18778 28257\n13970 21037\n68753 100000\n20070 30193\n64334 96521\n93242 100000\n17930 26980\n95679 100000\n90414 100000\n82769 100000\n2179 3290\n9934 14953\n19183 28860\n80191 100000\n66819 100000\n46742 70174\n2400 3629\n55503 83307\n9508 14325\n77537 100000\n98074 100000\n88228 100000\n79079 100000\n46794 70255\n86839 100000\n68876 100000\n12967 19532\n69000 100000\n43521 65358\n91071 100000\n16557 24892\n46888 70407\n33842 50893\n10724 16151\n30015 45098\n48470 72804\n58148 87277\n16161 24302\n32288 48570\n65273 97916\n82530 100000\n41614 62508\n94864 100000\n91780 100000\n73368 100000\n10691 16098\n65008 97517\n1295 1954\n71456 100000\n47468 71261\n17474 26280\n54547 81872\n41814 62808\n34294 51565\n31886 47948\n79891 100000\n91238 100000\n23675 35612\n64745 97138\n7027 10587\n26189 39358\n36022 54150\n18991 28577\n54435 81705\n93714 100000\n28198 42362\n65905 98858\n75106 100000\n71802 100000\n9256 13945\n4854 7288\n42865 64380\n41090 61717\n62267 93461\n52223 78399\n80574 100000\n15646 23517\n75834 100000\n9653 14544\n5643 8470\n6170 9261\n97020 100000\n86154 100000\n44740 67156\n84825 100000\n32950 49570\n64881 97341\n31596 47518\n80696 100000\n91489 100000\n40640 61049\n38415 57759\n66884 100000\n72319 100000\n83137 100000\n86775 100000\n91371 100000\n87800 100000\n93530 100000\n85502 100000\n76680 100000\n52152 78289\n20232 30436\n58746 88184\n92488 100000\n63574 95413\n99553 100000\n83110 100000\n58413 87677\n50667 76061\n14504 21845\n70087 100000\n36362 54683\n96711 100000\n16843 25319\n64856 97306\n94532 100000\n17881 26907\n2906 4389\n18551 27907\n40836 61341\n49570 74439\n1755 2661\n30010 45091\n78606 100000\n45604 68468\n82695 100000\n66269 99421\n29101 43732\n65288 97935\n29017 43605\n59011 88584\n60497 90808\n81735 100000\n91217 100000\n76467 100000\n78430 100000\n57241 85911\n18175 27350\n41373 62143\n67208 100000\n14100 21217\n70664 100000\n19158 28821\n72597 100000\n24768 37247\n11397 17160\n13172 19837\n44539 66854\n62199 93353\n20252 30469\n34695 52164\n42571 63941\n1989 3004\n98317 100000\n95456 100000\n24939 37498\n48035 72130\n93323 100000\n64312 96489\n83776 100000\n27 37\n23577 35463\n33888 50960\n35883 53938\n41780 62754\n20993 31590\n6129 9202\n78799 100000\n9180 13824\n22337 33600\n11147 16787\n65294 97943\n67890 100000\n12603 18980\n85835 100000\n34293 51564\n52832 79302\n82020 100000\n74216 100000\n19681 29596\n67146 100000\n19390 29166\n19369 29135\n50906 76410\n38786 58316\n6323 9492\n37527 56432\n48129 72277\n45517 68336\n21879 32914\n86043 100000\n87286 100000\n67851 100000\n99944 100000\n78905 100000\n39133 58824\n60655 91049\n36657 55126\n26759 40208\n69859 100000\n79767 100000\n10924 16450\n46782 70236\n78928 100000\n35470 53319\n13137 19783\n75936 100000\n86129 100000\n56937 85447\n92011 100000\n11408 17177\n38930 58531\n88650 100000\n74787 100000\n79230 100000\n73101 100000\n38126 57316\n86178 100000\n89231 100000\n86549 100000\n29476 44295\n89093 100000\n36452 54821\n10644 16029\n69652 100000\n58824 88308\n16485 24781\n69693 100000\n19304 29037\n95932 100000\n81054 100000\n75269 100000\n25263 37984\n95586 100000\n97861 100000\n69012 100000\n48501 72854\n22501 33844\n5705 8561\n36565 54986\n17703 26629\n72050 100000\n35088 52750\n30715 46169\n89723 100000\n70739 100000\n37567 56490\n60121 90249\n38795 58330\n96337 100000\n34037 51188\n4100 6156\n58006 87065\n91097 100000\n58260 87446\n71655 100000\n43310 65043\n11810 17811\n1704 2579\n94193 100000\n68499 100000\n2341 3539\n60304 90517\n49914 74952\n10765 16211\n10622 15998\n75443 100000\n79801 100000\n8144 12273\n70749 100000\n33951 51057\n94980 100000\n41465 62282\n7522 11336\n57649 86524\n91169 100000\n82594 100000\n3646 5467\n70920 100000\n45514 68332\n67227 100000\n39208 58927\n34513 51883\n79545 100000\n50878 76367\n88419 100000\n16379 24627\n27753 41712\n23260 34971\n54969 82499\n12626 19014\n42673 64101\n82639 100000\n49948 75005\n94658 100000\n36708 55198\n1513 2285\n11177 16830\n61614 92480\n1814 2752\n92688 100000\n27591 41465\n47166 70803\n77113 100000\n11940 18006\n50848 76327\n89213 100000\n93419 100000\n34127 51322\n15374 23116\n23365 35138\n56154 84280\n461 695\n411 619\n48759 73232\n9632 14509\n11489 17314\n75816 100000\n34064 51227\n46730 70154\n16693 25101\n3054 4609\n95356 100000\n96857 100000\n67578 100000\n39925 59980\n73641 100000\n37643 56601\n85073 100000\n66784 100000\n11563 17425\n81742 100000\n84498 100000\n74521 100000\n95601 100000\n73470 100000\n74150 100000\n75822 100000\n93185 100000\n7210 10864\n97095 100000\n85640 100000\n38439 57800\n85463 100000\n99722 100000\n93540 100000\n28829 43327\n68793 100000\n31361 47155\n93601 100000\n73245 100000\n96960 100000\n23089 34722\n97299 100000\n16864 25351\n71920 100000\n83303 100000\n31908 47982\n64975 97473\n51146 76773\n55646 83520\n62306 93519\n90914 100000\n81626 100000\n57532 86345\n9728 14650\n83278 100000\n43903 65931\n67179 100000\n49751 74707\n63989 96010\n72778 100000\n70694 100000\n29660 44572\n23269 34987\n90855 100000\n12204 18389\n91132 100000\n27930 41972\n44107 66236\n20340 30607\n15375 23117\n78701 100000\n90573 100000\n96198 100000\n1100 1666\n36290 54575\n66683 100000\n98138 100000\n71707 100000\n95258 100000\n68274 100000\n40270 60493\n46662 70055\n26783 40245\n74491 100000\n28866 43381\n61625 92496\n34356 51658\n63836 95791\n44533 66846\n17302 26021\n7629 11501\n74139 100000\n75629 100000\n90236 100000\n78173 100000\n28158 42306\n34195 51425\n36793 55323\n25853 38860\n99094 100000\n7018 10572\n53189 79828\n90569 100000\n3130 4723\n44228 66408\n74006 100000\n47239 70915\n59347 89100\n12566 18928\n91035 100000\n5565 8351\n38356 57671\n57753 86682\n82188 100000\n21366 32140\n63694 95586\n17144 25777\n78698 100000\n55041 82608\n58918 88443\n40202 60398\n37156 55873\n81468 100000\n31021 46635\n64049 96102\n47380 71126\n47563 71399\n8153 12286\n8422 12697\n44807 67258\n76983 100000\n76191 100000\n72396 100000\n17559 26410\n89693 100000\n68944 100000\n86977 100000\n91528 100000\n63642 95509\n76234 100000\n21442 32255\n46105 69220\n83953 100000\n63742 95651\n59645 89535\n86820 100000\n86262 100000\n2028 3059\n13770 20728\n66117 99187\n30521 45871\n84877 100000\n24976 37554\n67791 100000\n42053 63160\n50824 76289\n69342 100000\n31815 47842\n35797 53809\n82906 100000\n37903 56992\n22633 34042\n19020 28620\n72268 100000\n80388 100000\n36930 55534\n18185 27365\n133 199\n48864 73383\n51374 77121\n80845 100000\n87100 100000\n24778 37263\n56534 84836\n27560 41417\n30745 46215\n55986 84034\n18489 27821\n84100 100000\n8844 13321\n78941 100000\n26254 39455\n76539 100000\n23212 34905\n18836 28344\n57550 86371\n98937 100000\n9240 13917\n37516 56415\n35908 53976\n70047 100000\n21634 32542\n47246 70923\n87176 100000\n1297 1956\n28544 42894\n14946 22498\n73319 100000\n5584 8379\n43794 65770\n26839 40335\n82311 100000\n47854 71839\n7671 11564\n46148 69285\n75239 100000\n75699 100000\n62091 93194\n35554 53445\n61752 92689\n53789 80729\n99953 100000\n32550 48962\n51756 77686\n43274 64984\n83877 100000\n11975 18059\n74956 100000\n42178 63346\n54170 81308\n67887 100000\n64542 96834\n21704 32650\n60581 90931\n28383 42648\n9070 13660\n36528 54934\n79898 100000\n83265 100000\n84904 100000\n28208 42375\n80625 100000\n58465 87757\n15591 23438\n83566 100000\n21473 32298\n6293 9448\n76903 100000\n94819 100000\n55582 83426\n28308 42529\n87699 100000\n73061 100000\n28216 42387\n74175 100000\n1014 1536\n86060 100000\n84438 100000\n57253 85928\n30116 45250\n54502 81802\n62767 94215\n37867 56940\n79302 100000\n27847 41852\n86528 100000\n43596 65475\n62257 93447\n40977 61549\n10940 16476\n71188 100000\n72576 100000\n79239 100000\n99823 100000\n9480 14284\n99781 100000\n77043 100000\n76149 100000\n91296 100000\n83497 100000\n3506 5261\n65212 97826\n57828 86792\n80208 100000\n2769 4183\n14872 22392\n64850 97298\n51098 76704\n13396 20169\n30032 45123\n46251 69445\n69055 100000\n52362 78611\n31045 46673\n92637 100000\n10250 15439\n82019 100000\n27298 41024\n50375 75628\n62031 93107\n73253 100000\n32503 48890\n18847 28363\n57521 86326\n47333 71060\n79018 100000\n84361 100000\n61910 92928\n38190 57412\n83429 100000\n38331 57635\n61028 91616\n82674 100000\n91049 100000\n50638 76014\n74814 100000\n21005 31606\n12031 18142\n30838 46351\n81812 100000\n21022 31629\n60670 91071\n53446 80213\n58067 87154\n74419 100000\n72957 100000\n35220 52944\n97954 100000\n37253 56019\n10043 15123\n26422 39708\n13634 20523\n83000 100000\n62481 93777\n34751 52249\n19913 29947\n82395 100000\n6405 9630\n18695 28130\n59788 89751\n78975 100000\n67844 100000\n14899 22430\n93720 100000\n73073 100000\n2523 3811\n33411 50247\n80138 100000\n36802 55332\n64308 96484\n56506 84794\n32478 48849\n86728 100000\n75124 100000\n52907 79414\n92713 100000\n66398 99614\n81596 100000\n79662 100000\n53377 80112\n36913 55510\n32655 49129\n95411 100000\n54416 81674\n74655 100000\n85016 100000\n8727 13143\n55268 82951\n2136 3218\n49489 74316\n10296 15514\n66121 99193\n84793 100000\n11769 17750\n91070 100000\n87005 100000\n9414 14186\n13593 20461\n3219 4857\n36677 55155\n80074 100000\n91333 100000\n69485 100000\n91908 100000\n98421 100000\n70049 100000\n79181 100000\n60747 91184\n86567 100000\n8804 13261\n29808 44793\n70608 100000\n33182 49912\n10841 16322\n44893 67387\n40000 60096\n53848 80822\n30413 45700\n7289 10985\n16951 25489\n34937 52527\n68635 100000\n16547 24879\n86699 100000\n77894 100000\n73056 100000\n67388 100000\n74000 100000\n66777 100000\n86106 100000\n8410 12678\n68205 100000\n97823 100000\n99441 100000\n71955 100000\n42234 63429\n69046 100000\n87668 100000\n37850 56912\n65018 97531\n88024 100000\n55896 83896\n46986 70541\n80306 100000\n84528 100000\n10314 15542\n47421 71188\n50685 76086\n87364 100000\n39868 59896\n99874 100000\n59289 89009\n7269 10953\n80376 100000\n98345 100000\n73744 100000\n56246 84421\n31018 46630\n96538 100000\n25774 38746\n89068 100000\n80732 100000\n88625 100000\n19677 29589\n9477 14280\n24968 37540\n18741 28201\n85982 100000\n30078 45192\n20624 31031\n68858 100000\n92277 100000\n83364 100000\n77569 100000\n18573 27941\n36300 54589\n95607 100000\n48207 72397\n69542 100000\n33880 50947\n6128 9200\n88465 100000\n43907 65937\n12091 18236\n84000 100000\n67627 100000\n31806 47829\n48946 73502\n52997 79551\n3848 5775\n74656 100000\n73160 100000\n46303 69525\n43494 65319\n91951 100000\n51219 76880\n3015 4549\n21831 32840\n42624 64028\n77153 100000\n67707 100000\n23690 35640\n25289 38024\n51940 77967\n22159 33335\n12813 19298\n42952 64510\n89727 100000\n39029 58679\n39815 59819\n48960 73522\n80166 100000\n99878 100000\n62870 94370\n61093 91713\n21153 31821\n60062 90158\n67978 100000\n58397 87656\n21696 32638\n29541 44393\n58022 87086\n40487 60816\n14284 21506\n5377 8080\n22364 33636\n65659 98487\n64022 96060\n10703 16118\n31512 47384\n71799 100000\n19769 29728\n5959 8947\n64640 96980\n11551 17405\n83894 100000\n61293 92006\n25361 38128\n91079 100000\n86703 100000\n80002 100000\n67224 100000\n2905 4388\n19781 29748\n19328 29071\n80415 100000\n48575 72961\n45463 68261\n24227 36440\n79448 100000\n90111 100000\n75892 100000\n11057 16649\n96901 100000\n20278 30510\n26390 39658\n45938 68970\n65520 98283\n63350 95078\n42563 63928\n23348 35113\n25467 38291\n72369 100000\n61037 91629\n15803 23748\n25833 38828\n60092 90203\n37246 56010\n40598 60986\n27670 41586\n46071 69169\n99978 100000\n91600 100000\n26236 39428\n81272 100000\n71596 100000\n45698 68606\n13522 20352\n95786 100000\n81561 100000\n621 946\n60700 91115\n54407 81660\n23354 35121\n54302 81516\n41309 62042\n98018 100000\n15711 23610\n98693 100000\n70476 100000\n96239 100000\n77825 100000\n54720 82127\n99572 100000\n82785 100000\n63470 95252\n22768 34242\n67749 100000\n70647 100000\n44078 66192\n52433 78719\n88282 100000\n56770 85196\n13406 20185\n78700 100000\n71537 100000\n25509 38348\n44259 66450\n5243 7875\n36030 54162\n78906 100000\n42987 64562\n35441 53276\n61472 92274\n94269 100000\n43357 65116\n35923 53999\n87144 100000\n83948 100000\n44349 66582\n36997 55638\n32370 48692\n12150 18315\n98076 100000\n27415 41206\n54016 81070\n17057 25651\n92059 100000\n15301 23010\n63494 95282\n4013 6028\n52004 78067\n92662 100000\n96284 100000\n17093 25701\n5595 8400\n16054 24136\n29066 43681\n29312 44052\n82673 100000\n74137 100000\n21945 33013\n62601 93966\n69224 100000\n19533 29378\n92658 100000\n8884 13376\n48853 73368\n78536 100000\n59932 89967\n12055 18175\n33650 50599\n63546 95366\n91554 100000\n35723 53700\n24178 36366\n95108 100000\n55468 83256\n96206 100000\n61571 92420\n21901 32948\n21317 32073\n93189 100000\n58416 87683\n19430 29224\n95752 100000\n83027 100000\n11927 17984\n57357 86082\n32823 49379\n83213 100000\n82054 100000\n60293 90502\n4733 7102\n73179 100000\n74263 100000\n43965 66024\n39259 59007\n41640 62551\n25407 38198\n56158 84287\n95928 100000\n71147 100000\n41264 61977\n15815 23766\n44941 67466\n15006 22590\n76175 100000\n79696 100000\n83190 100000\n18149 27314\n47481 71281\n7069 10648\n54185 81331\n56366 84595\n14268 21479\n11717 17669\n4806 7211\n5279 7934\n75292 100000\n65365 98046\n73414 100000\n51547 77373\n87921 100000\n13068 19683\n18248 27460\n99816 100000\n77559 100000\n27876 41891\n32352 48664\n4298 6449\n34144 51347\n3713 5570\n76862 100000\n80844 100000\n15609 23464\n58089 87189\n69604 100000\n80158 100000\n50730 76155\n70548 100000\n40263 60483\n55169 82806\n80988 100000\n55383 83123\n11037 16618\n79940 100000\n2573 3886\n15012 22599\n34008 51146\n18956 28525\n87502 100000\n56837 85300\n29964 45025\n33108 49804\n73690 100000\n94359 100000\n59794 89760\n36328 54635\n10874 16374\n48343 72606\n17855 26864\n55707 83616\n31885 47947\n60275 90477\n28681 43099\n84279 100000\n13613 20491\n35338 53124\n45985 69044\n28523 42860\n95652 100000\n93628 100000\n81547 100000\n20192 30375\n76892 100000\n97590 100000\n16367 24607\n28225 42402\n27089 40708\n54468 81750\n21936 32998\n67317 100000\n49487 74312\n8365 12611\n45584 68439\n9292 13999\n29399 44181\n51848 77824\n60232 90406\n18021 27119\n81317 100000\n46844 70337\n47715 71636\n76579 100000\n60584 90935\n77668 100000\n75537 100000\n84221 100000\n64077 96145\n45237 67913\n70009 100000\n18182 27359\n21054 31676\n74831 100000\n81767 100000\n89787 100000\n55716 83630\n12366 18634\n39078 58753\n81072 100000\n39603 59514\n92897 100000\n54892 82385\n27881 41900\n6592 9908\n82643 100000\n69784 100000\n83553 100000\n59619 89495\n44222 66399\n69540 100000\n31698 47671\n6433 9674\n36684 55164\n94344 100000\n27785 41762\n11 17\n16866 25354\n79515 100000\n86315 100000\n82998 100000\n40596 60983\n75709 100000\n78502 100000\n14511 21857\n62567 93911\n29694 44625\n74344 100000\n71498 100000\n38617 58064\n92416 100000\n83662 100000\n6550 9844\n65785 98675\n19482 29303\n46414 69689\n30051 45150\n34248 51503\n44936 67459\n17526 26362\n44103 66229\n35854 53896\n36888 55472\n19747 29698\n41501 62343\n61287 91998\n47089 70688\n82017 100000\n64507 96777\n93424 100000\n99730 100000\n69243 100000\n81521 100000\n41169 61832\n94959 100000\n8010 12071\n79214 100000\n81478 100000\n54297 81508\n48338 72600\n40361 60625\n56211 84371\n90434 100000\n93396 100000\n60136 90270\n95267 100000\n17148 25782\n37281 56063\n25364 38134\n79146 100000\n1314 1979\n38092 57261\n21952 33023\n38775 58300\n3954 5937\n28114 42241\n93111 100000\n29260 43971\n73637 100000\n59359 89118\n39037 58691\n95344 100000\n24663 37094\n48844 73355\n70646 100000\n10620 15995\n45755 68692\n73861 100000\n12468 18786\n11360 17106\n79273 100000\n75893 100000\n9578 14425\n583 886\n98407 100000\n56624 84965\n39766 59749\n65718 98574\n79415 100000\n63326 95041\n59123 88751\n44782 67221\n88042 100000\n89791 100000\n5053 7584\n47523 71341\n64003 96032\n68182 100000\n34750 52248\n54806 82258\n53451 80219\n2182 3294\n23487 35320\n49208 73898\n30159 45315\n32694 49181\n7173 10807\n90595 100000\n11577 17448\n12756 19213\n68233 100000\n39132 58823\n71234 100000\n17567 26424\n30895 46436\n87452 100000\n81748 100000\n56329 84541\n50054 75157\n65496 98248\n79779 100000\n31029 46649\n74987 100000\n13640 20532\n27708 41643\n6002 9008\n31386 47195\n40901 61439\n39342 59137\n65506 98264\n47202 70858\n97625 100000\n20532 30897\n75899 100000\n55803 83763\n56700 85076\n58437 87714\n37969 57083\n61981 93027\n8115 12228\n29719 44668\n35974 54073\n8523 12846\n20992 31589\n20675 31110\n83764 100000\n41781 62755\n73305 100000\n32980 49615\n60001 90069\n82905 100000\n33729 50722\n50059 75165\n90373 100000\n67476 100000\n48774 73252\n37795 56829\n97382 100000\n18051 27165\n29039 43640\n91474 100000\n74215 100000\n1741 2639\n94424 100000\n98274 100000\n86089 100000\n69368 100000\n81441 100000\n28540 42888\n42328 63574\n63455 95228\n77786 100000\n44130 66270\n29521 44364\n69718 100000\n89142 100000\n21219 31922\n1853 2810\n155 230\n4421 6635\n35739 53725\n53313 80013\n42019 63109\n46817 70292\n97213 100000\n27109 40738\n17794 26771\n33226 49979\n80282 100000\n44161 66320\n4205 6312\n17589 26456\n33178 49907\n96745 100000\n79810 100000\n13926 20970\n60286 90491\n76491 100000\n8096 12198\n41370 62137\n5386 8093\n44150 66304\n8354 12591\n44962 67500\n97742 100000\n22765 34238\n13797 20769\n20947 31524\n26615 39983\n75776 100000\n89257 100000\n7711 11624\n36044 54186\n46653 70041\n4961 7442\n70410 100000\n99057 100000\n36301 54590\n2713 4098\n65143 97721\n86421 100000\n10213 15380\n54642 82010\n83238 100000\n5020 7535\n15258 22954\n25999 39074\n67742 100000\n14105 21224\n95393 100000\n9812 14773\n26336 39579\n97637 100000\n94704 100000\n71988 100000\n71880 100000\n85576 100000\n7495 11296\n23444 35253\n71630 100000\n92263 100000\n5874 8818\n54033 81096\n26958 40506\n3234 4876\n95986 100000\n74407 100000\n90636 100000\n4754 7131\n54316 81539\n83934 100000\n18029 27130\n24916 37465\n83041 100000\n92457 100000\n60606 90967\n46514 69842\n13263 19969\n18085 27215\n522 793\n52359 78606\n12770 19235\n13052 19658\n70905 100000\n18552 27908\n70286 100000\n51785 77729\n74142 100000\n33565 50476\n37531 56438\n32929 49536\n17398 26171\n59335 89080\n46190 69350\n6867 10331\n64674 97033\n28202 42368\n43759 65718\n91001 100000\n17447 26237\n85843 100000\n1564 2363\n11495 17325\n74096 100000\n85863 100000\n47671 71569\n2862 4322\n12076 18211\n58390 87645\n35074 52728\n19070 28697\n81168 100000\n58382 87633\n47361 71099\n72206 100000\n374 559\n38172 57386\n10588 15943\n12193 18375\n96678 100000\n62048 93131\n62136 93263\n75143 100000\n67904 100000\n84979 100000\n60605 90966\n1176 1777\n42312 63549\n78164 100000\n42959 64519\n6690 10059\n98762 100000\n95491 100000\n17188 25844\n18262 27483\n39830 59844\n32657 49132\n56757 85175\n79221 100000\n55281 82972\n13109 19743\n39875 59905\n5974 8969\n46246 69436\n95770 100000\n59176 88833\n70954 100000\n91150 100000\n29936 44983\n75402 100000\n71576 100000\n91869 100000\n31903 47975\n87022 100000\n16405 24663\n86113 100000\n16598 24955\n25278 38009\n50844 76320\n43723 65661\n34925 52512\n75745 100000\n99969 100000\n96195 100000\n21949 33020\n17013 25579\n90153 100000\n32404 48740\n19811 29796\n45152 67783\n46685 70089\n92634 100000\n52778 79224\n33697 50671\n5834 8756\n52280 78484\n1626 2458\n56891 85381\n45171 67813\n80642 100000\n53111 79712\n19589 29459\n19824 29814\n66555 99848\n20254 30473\n99399 100000\n31285 47040\n80869 100000\n61577 92427\n27073 40683\n56912 85410\n39940 60004\n16641 25020\n73067 100000\n2561 3866\n58929 88460\n81007 100000\n24609 37010\n67932 100000\n35718 53693\n65027 97544\n38212 57447\n71453 100000\n70985 100000\n52595 78957\n22100 33247\n97499 100000\n88748 100000\n45057 67645\n81084 100000\n31056 46688\n28263 42463\n78299 100000\n77369 100000\n43763 65725\n89561 100000\n29269 43986\n36161 54365\n1805 2740\n45520 68342\n78596 100000\n16700 25112\n18306 27545\n80894 100000\n15469 23256\n85949 100000\n51846 77821\n52630 79006\n10907 16423\n35823 53849\n26488 39802\n68022 100000\n59983 90041\n21729 32686\n10797 16260\n35036 52670\n43674 65590\n22382 33662\n70416 100000\n7478 11269\n78218 100000\n33385 50204\n46045 69131\n13879 20900\n20551 30925\n75978 100000\n27808 41796\n2107 3176\n63394 95143\n81085 100000\n81644 100000\n10473 15780\n3590 5386\n4473 6710\n90043 100000\n50556 75896\n17609 26489\n8664 13054\n55943 83968\n1696 2566\n67284 100000\n49694 74619\n62118 93236\n32439 48794\n93449 100000\n66722 100000\n82468 100000\n71503 100000\n54860 82335\n31938 48026\n85052 100000\n34824 52364\n36668 55145\n74829 100000\n68041 100000\n76574 100000\n98362 100000\n24887 37423\n24320 36573\n14229 21422\n94279 100000\n14160 21312\n77223 100000\n57376 86110\n45178 67823\n96736 100000\n11697 17637\n88503 100000\n1127 1704\n72082 100000\n67423 100000\n83198 100000\n2415 3649\n52263 78460\n40560 60925\n57919 86929\n96099 100000\n59300 89026\n93763 100000\n51924 77944\n10720 16144\n24945 37507\n76558 100000\n45728 68652\n84870 100000\n67847 100000\n30380 45651\n25958 39015\n91374 100000\n75736 100000\n70672 100000\n14095 21210\n12735 19180\n96932 100000\n52805 79262\n13552 20401\n81988 100000\n98590 100000\n63980 96000\n99404 100000\n49850 74852\n35676 53627\n71445 100000\n93717 100000\n84521 100000\n40184 60372\n49097 73729\n71935 100000\n97714 100000\n12933 19484\n36651 55117\n79900 100000\n31650 47599\n43047 64643\n6012 9021\n9981 15025\n48098 72230\n15740 23649\n39343 59138\n5180 7781\n10715 16137\n15626 23488\n40742 61203\n96922 100000\n28765 43223\n3405 5124\n62060 93148\n92864 100000\n73664 100000\n52415 78695\n15238 22924\n3379 5088\n86349 100000\n31328 47108\n72054 100000\n44499 66794\n26616 39984\n73345 100000\n47083 70680\n77717 100000\n28366 42621\n2037 3073\n93764 100000\n83283 100000\n73422 100000\n68546 100000\n30350 45602\n5487 8240\n14673 22093\n73839 100000\n48170 72343\n37893 56978\n15398 23151\n9826 14789\n98207 100000\n99320 100000\n38475 57851\n82076 100000\n65385 98076\n95065 100000\n21504 32338\n31626 47563\n14246 21448\n12977 19549\n66592 99901\n1670 2526\n3758 5638\n68574 100000\n59639 89525\n54375 81616\n29994 45070\n16435 24709\n76297 100000\n95701 100000\n41252 61959\n17695 26617\n36868 55438\n44512 66812\n85514 100000\n42660 64080\n59686 89600\n77308 100000\n44352 66587\n51630 77495\n76517 100000\n23596 35490\n53510 80306\n76125 100000\n63875 95848\n42633 64041\n80899 100000\n7005 10550\n59552 89399\n25859 38871\n38696 58177\n80734 100000\n21755 32725\n97525 100000\n95945 100000\n10320 15553\n34656 52100\n29766 44735\n17891 26920\n80056 100000\n78687 100000\n51778 77718\n88642 100000\n28956 43516\n85234 100000\n53891 80889\n55433 83198\n36983 55614\n5933 8907\n26325 39562\n24412 36710\n46619 69988\n82845 100000\n19478 29296\n87497 100000\n14929 22473\n11805 17804\n92782 100000\n41673 62597\n94636 100000\n27393 41170\n88251 100000\n41050 61655\n10101 15213\n74284 100000\n31660 47616\n88442 100000\n59670 89575\n18994 28581\n90321 100000\n23022 34618\n51582 77426\n73867 100000\n62041 93120\n60657 91052\n92166 100000\n77150 100000\n46512 69839\n55904 83909\n56699 85075\n56215 84377\n49764 74728\n27841 41844\n56300 84501\n49363 74129\n43391 65164\n32580 49013\n79715 100000\n63712 95610\n84187 100000\n89188 100000\n99587 100000\n61578 92429\n98147 100000\n51761 77693\n12845 19348\n16464 24752\n40355 60616\n51457 77241\n36191 54415\n10684 16088\n50381 75638\n37466 56338\n8076 12172\n25437 38248\n13967 21033\n90866 100000\n76967 100000\n58342 87576\n83707 100000\n9406 14173\n88992 100000\n95210 100000\n65265 97904\n12984 19559\n74036 100000\n58670 88064\n55115 82722\n64892 97359\n79502 100000\n88963 100000\n48329 72589\n35191 52902\n81512 100000\n74618 100000\n491 740\n80406 100000\n90778 100000\n16849 25330\n77600 100000\n99393 100000\n77403 100000\n93954 100000\n13298 20026\n15176 22834\n96492 100000\n50981 76524\n4577 6868\n84104 100000\n19798 29776\n43502 65329\n90027 100000\n74440 100000\n84665 100000\n31101 46757\n77084 100000\n59898 89913\n34507 51876\n92023 100000\n7172 10806\n8235 12414\n56498 84783\n90639 100000\n1608 2428\n6798 10229\n91042 100000\n44555 66881\n65704 98555\n56150 84274\n705 1072\n58196 87344\n93964 100000\n12928 19474\n81191 100000\n33422 50266\n90217 100000\n575 874\n91655 100000\n2964 4472\n61730 92654\n87847 100000\n44077 66191\n5897 8854\n39247 58989\n1931 2917\n18446 27759\n52284 78490\n34509 51878\n66365 99564\n25490 38322\n53485 80273\n14277 21495\n13614 20493\n55003 82552\n55341 83062\n60207 90367\n41415 62205\n31153 46840\n57 84\n31482 47343\n941 1426\n60882 91395\n6679 10043\n45649 68530\n56280 84474\n57237 85906\n36941 55549\n35775 53778\n25067 37693\n88130 100000\n25759 38721\n13160 19822\n63939 95940\n57995 87048\n78024 100000\n53180 79815\n85331 100000\n47740 71672\n18951 28517\n40349 60609\n77505 100000\n43752 65708\n86918 100000\n5969 8962\n29765 44733\n27238 40932\n97873 100000\n25627 38523\n19516 29352\n355 532\n4834 7258\n3471 5212\n22878 34408\n16566 24907\n74321 100000\n40783 61262\n2072 3121\n22259 33485\n78923 100000\n70290 100000\n16943 25478\n14248 21450\n60630 91009\n37162 55881\n36373 54701\n729 1112\n45618 68489\n95251 100000\n64679 97040\n30964 46549\n18995 28583\n51459 77243\n70177 100000\n78875 100000\n99274 100000\n2574 3887\n57664 86546\n55695 83600\n95620 100000\n47595 71445\n75419 100000\n88101 100000\n89353 100000\n80840 100000\n67736 100000\n10347 15595\n95068 100000\n29555 44416\n20918 31481\n38635 58090\n57776 86715\n49500 74333\n18894 28430\n21518 32358\n99761 100000\n88308 100000\n67289 100000\n839 1275\n29492 44319\n39191 58905\n62337 93560\n28048 42142\n95163 100000\n47588 71435\n96534 100000\n83657 100000\n9924 14939\n72738 100000\n18430 27733\n74683 100000\n63810 95751\n64119 96207\n95428 100000\n95166 100000\n41615 62510\n5054 7586\n97111 100000\n58152 87282\n30021 45109\n75214 100000\n54273 81470\n80514 100000\n54366 81603\n26133 39273\n28381 42644\n9211 13871\n14021 21108\n40556 60917\n3256 4910\n67032 100000\n25546 38398\n77628 100000\n35870 53918\n83328 100000\n44684 67074\n73287 100000\n52416 78696\n83024 100000\n58939 88478\n50272 75480\n1894 2867\n61042 91637\n99951 100000\n68428 100000\n35599 53513\n19616 29495\n6544 9836\n36411 54760\n74186 100000\n17860 26873\n92313 100000\n51480 77276\n53363 80087\n50308 75530\n48279 72508\n26532 39864\n79419 100000\n47243 70919\n26505 39826\n1632 2469\n58711 88129\n67195 100000\n35524 53400\n26013 39093\n50744 76173\n46862 70367\n61279 91988\n85517 100000\n73859 100000\n862 1310\n6011 9020\n1809 2746\n70139 100000\n91389 100000\n53577 80407\n87039 100000\n25421 38222\n54115 81224\n78723 100000\n21437 32248\n84675 100000\n4244 6366\n66706 100000\n29164 43828\n28013 42096\n62879 94385\n89649 100000\n93349 100000\n16302 24512\n15252 22946\n53981 81022\n96531 100000\n76487 100000\n62264 93456\n39398 59220\n10998 16558\n44042 66138\n13638 20529\n65401 98098\n18594 27973\n72976 100000\n57349 86071\n31923 48005\n83307 100000\n79644 100000\n45125 67743\n70531 100000\n30588 45971\n91620 100000\n46300 69522\n37116 55814\n44626 66987\n40757 61222\n56030 84105\n11412 17185\n55784 83734\n39167 58872\n47866 71859\n28534 42877\n98810 100000\n80296 100000\n91961 100000\n29614 44507\n68783 100000\n98003 100000\n64717 97098\n13393 20166\n20465 30796\n24038 36159\n42911 64447\n88871 100000\n67421 100000\n66971 100000\n67327 100000\n6407 9633\n68572 100000\n42040 63142\n30705 46154\n91253 100000\n23330 35082\n1335 2014\n50961 76496\n69939 100000\n89225 100000\n97970 100000\n40075 60205\n13659 20562\n60708 91125\n73544 100000\n71597 100000\n58580 87934\n50993 76541\n3564 5345\n63159 94800\n59233 88921\n95281 100000\n60053 90146\n53427 80187\n24632 37045\n8608 12972\n63435 95202\n82507 100000\n59817 89794\n39863 59889\n69107 100000\n61576 92426\n12408 18697\n55833 83807\n45362 68109\n37934 57032\n76261 100000\n92122 100000\n77203 100000\n74570 100000\n15097 22727\n44114 66246\n31202 46914\n13624 20508\n48487 72831\n14139 21278\n36501 54893\n92960 100000\n89679 100000\n52901 79403\n44747 67167\n67585 100000\n1631 2467\n13536 20375\n81154 100000\n26111 39240\n19948 30002\n22989 34570\n20716 31171\n53519 80320\n51640 77510\n60371 90619\n20150 30312\n20004 30090\n57596 86443\n10570 15918\n35390 53197\n2254 3406\n45172 67814\n73913 100000\n43389 65160\n54551 81877\n86161 100000\n18779 28258\n2997 4522\n13927 20972\n73093 100000\n58934 88469\n47440 71218\n56083 84180\n11608 17496\n27313 41046\n29931 44975\n35954 54045\n22435 33744\n92924 100000\n34425 51757\n34130 51327\n29365 44130\n39908 59956\n23614 35516\n46415 69690\n39314 59093\n30928 46489\n27686 41610\n58102 87208\n92578 100000\n53983 81024\n31777 47786\n51039 76610\n88645 100000\n2281 3446\n48838 73346\n31509 47381\n44094 66218\n60336 90568\n1324 1997\n88270 100000\n19048 28663\n22622 34027\n22145 33314\n97579 100000\n79389 100000\n23425 35227\n21227 31933\n41135 61780\n97698 100000\n1521 2299\n4090 6141\n45034 67611\n10732 16163\n12169 18341\n70207 100000\n30846 46363\n53105 79703\n25424 38227\n97477 100000\n98608 100000\n52261 78456\n27701 41632\n38681 58154\n17555 26405\n73072 100000\n31576 47487\n28469 42774\n19623 29506\n70441 100000\n62418 93687\n74723 100000\n67873 100000\n2815 4251\n97832 100000\n12643 19039\n20831 31348\n51540 77363\n5456 8194\n20653 31075\n72818 100000\n53046 79618\n44572 66903\n43920 65956\n78153 100000\n14715 22155\n91203 100000\n9459 14252\n24994 37581\n47209 70867\n19189 28869\n59994 90058\n36977 55603\n74493 100000\n89968 100000\n91845 100000\n9037 13610\n56882 85367\n91566 100000\n24244 36463\n71941 100000\n17166 25811\n33536 50433\n4996 7498\n62736 94167\n54678 82064\n2619 3958\n23504 35344\n66489 99746\n20568 30949\n63078 94683\n29548 44406\n19805 29787\n5931 8905\n44009 66088\n87697 100000\n52163 78306\n45220 67884\n13578 20438\n48604 73003\n24664 37096\n1451 2187\n92590 100000\n75540 100000\n75139 100000\n27432 41233\n40624 61027\n97857 100000\n93100 100000\n6425 9661\n42489 63818\n44006 66084\n93524 100000\n46146 69282\n78813 100000\n64108 96188\n70064 100000\n73543 100000\n68919 100000\n74178 100000\n4949 7427\n44954 67487\n81951 100000\n15188 22848\n58187 87332\n17556 26406\n43978 66044\n5339 8026\n77801 100000\n55223 82884\n54535 81851\n49187 73866\n34716 52196\n85890 100000\n4990 7488\n38773 58297\n52332 78565\n25732 38682\n84155 100000\n91425 100000\n19075 28704\n63819 95766\n9542 14374\n43683 65603\n43031 64623\n70422 100000\n99952 100000\n86273 100000\n63135 94767\n54337 81565\n39667 59610\n23695 35648\n31429 47260\n61390 92145\n13250 19950\n58300 87513\n12651 19053\n88276 100000\n22908 34451\n25050 37669\n93504 100000\n77831 100000\n87345 100000\n5371 8072\n4077 6124\n2858 4317\n15095 22725\n1351 2036\n6649 9998\n92322 100000\n83499 100000\n41327 62069\n20006 30093\n98140 100000\n48534 72902\n67870 100000\n95375 100000\n87730 100000\n34437 51776\n451 678\n23493 35331\n1908 2886\n32021 48150\n48352 72620\n44465 66748\n91646 100000\n80968 100000\n9350 14090\n86442 100000\n7970 12006\n3915 5876\n7121 10731\n19433 29228\n48071 72190\n55918 83929\n45198 67850\n79438 100000\n11946 18016\n61691 92597\n65109 97667\n62218 93386\n85107 100000\n47035 70617\n27809 41797\n40891 61424\n26973 40526\n86632 100000\n79188 100000\n79469 100000\n75447 100000\n14545 21905\n25345 38105\n87513 100000\n72541 100000\n89531 100000\n52624 78997\n25344 38103\n59996 90061\n6775 10191\n54290 81496\n92111 100000\n16816 25279\n88496 100000\n43010 64593\n90562 100000\n79109 100000\n83962 100000\n45426 68204\n12717 19150\n44462 66744\n11561 17421\n357 536\n2518 3803\n38523 57925\n36699 55186\n97083 100000\n747 1135\n10048 15131\n75866 100000\n26904 40428\n4122 6186\n57474 86253\n24246 36465\n34571 51966\n11012 16582\n76747 100000\n78284 100000\n79251 100000\n22166 33345\n80612 100000\n60168 90314\n2105 3174\n47396 71153\n63564 95398\n57428 86185\n25203 37896\n13402 20179\n60294 90503\n78888 100000\n67378 100000\n14671 22091\n20710 31164\n47556 71390\n88979 100000\n20104 30248\n91834 100000\n27564 41424\n27937 41984\n3095 4671\n12738 19186\n19163 28829\n23411 35208\n5048 7579\n88313 100000\n32121 48303\n32798 49343\n68934 100000\n74945 100000\n26498 39817\n79805 100000\n79002 100000\n566 859\n41871 62896\n54888 82378\n53348 80067\n3126 4716\n52474 78775\n33018 49672\n9621 14492\n13303 20034\n27038 40629\n13729 20664\n493 744\n1492 2250\n11193 16854\n64702 97076\n11033 16614\n61640 92521\n50280 75490\n42998 64577\n61048 91646\n79158 100000\n64538 96829\n78931 100000\n37293 56081\n36822 55363\n77365 100000\n23842 35874\n2661 4020\n3007 4537\n69668 100000\n39959 60031\n54503 81804\n53914 80923\n72868 100000\n45107 67717\n702 1068\n73940 100000\n85515 100000\n50980 76522\n86153 100000\n60730 91157\n64006 96035\n80664 100000\n59102 88720\n98417 100000\n4553 6829\n1971 2979\n94289 100000\n90324 100000\n72733 100000\n41414 62204\n40623 61026\n93097 100000\n16662 25054\n8542 12876\n7225 10884\n96460 100000\n87213 100000\n84458 100000\n65886 98829\n65858 98786\n1220 1841\n38093 57262\n55365 83098\n68372 100000\n96522 100000\n70602 100000\n71476 100000\n93254 100000\n11501 17333\n84602 100000\n95429 100000\n3705 5557\n34780 52293\n21489 32318\n53482 80267\n57789 86734\n59198 88863\n99976 100000\n73334 100000\n74 110\n79811 100000\n81627 100000\n59433 89230\n96304 100000\n17274 25975\n69208 100000\n92893 100000\n69786 100000\n67872 100000\n98497 100000\n63863 95832\n12097 18243\n45705 68615\n70465 100000\n52072 78169\n99911 100000\n99453 100000\n82256 100000\n43206 64874\n4425 6640\n65631 98445\n70153 100000\n43779 65747\n4759 7139\n609 929\n66938 100000\n79035 100000\n85725 100000\n85591 100000\n60475 90773\n22537 33894\n54377 81618\n19456 29261\n40919 61464\n72783 100000\n71281 100000\n22979 34555\n30192 45371\n75006 100000\n21601 32489\n4430 6648\n82745 100000\n75118 100000\n99639 100000\n64613 96941\n48286 72522\n89789 100000\n57923 86935\n69313 100000\n85392 100000\n80438 100000\n90492 100000\n24015 36126\n91532 100000\n70155 100000\n80921 100000\n51937 77963\n29630 44525\n13135 19780\n68821 100000\n74805 100000\n3920 5883\n12299 18531\n32445 48802\n3778 5669\n80928 100000\n30531 45886\n36929 55533\n67213 100000\n12901 19436\n74867 100000\n32351 48662\n32208 48444\n50849 76329\n17811 26796\n61420 92190\n25164 37837\n42017 63107\n56407 84654\n86484 100000\n56355 84577\n56499 84785\n50962 76497\n67021 100000\n39306 59079\n22621 34025\n41122 61765\n34372 51684\n26850 40350\n53975 81011\n45850 68837\n64998 97504\n91279 100000\n72834 100000\n17165 25810\n46750 70185\n99427 100000\n26601 39963\n48099 72232\n96806 100000\n62555 93891\n37478 56357\n91249 100000\n47160 70795\n38735 58235\n19921 29958\n94140 100000\n21446 32261\n80695 100000\n90809 100000\n63547 95368\n57276 85961\n30233 45427\n29680 44604\n51238 76909\n36469 54848\n44834 67298\n43288 65004\n97740 100000\n15579 23419\n140 210\n41784 62760\n94191 100000\n75300 100000\n63740 95649\n69687 100000\n25594 38471\n18970 28544\n32628 49088\n83347 100000\n20534 30900\n6174 9266\n43360 65120\n52469 78768\n50812 76271\n75859 100000\n84928 100000\n85232 100000\n23968 36058\n77620 100000\n93359 100000\n1733 2626\n21136 31794\n34657 52102\n76544 100000\n82759 100000\n28213 42383\n46490 69807\n74712 100000\n43176 64833\n75821 100000\n22322 33580\n96038 100000\n789 1196\n26406 39682\n22403 33693\n79342 100000\n29713 44656\n78241 100000\n78119 100000\n15791 23726\n44815 67273\n12503 18834\n25438 38250\n86146 100000\n12970 19537\n38021 57162\n69181 100000\n81188 100000\n48481 72821\n94052 100000\n7279 10969\n30489 45816\n40264 60485\n98027 100000\n43664 65577\n7694 11599\n79775 100000\n49904 74935\n14368 21641\n57863 86841\n65465 98199\n14679 22103\n42386 63660\n20635 31049\n25367 38138\n31798 47819\n26896 40417\n41643 62556\n36278 54557\n87277 100000\n986 1493\n80331 100000\n66262 99410\n69710 100000\n62138 93266\n90239 100000\n96334 100000\n14444 21754\n48673 73102\n10319 15551\n9940 14964\n495 748\n71628 100000\n50078 75191\n28991 43569\n56532 84834\n99541 100000\n60165 90310\n40335 60589\n34729 52214\n63108 94730\n97944 100000\n88067 100000\n88348 100000\n85830 100000\n923 1401\n35903 53968\n71694 100000\n12533 18879\n68823 100000\n3247 4896\n23519 35369\n31414 47237\n6262 9399\n89264 100000\n61203 91873\n99678 100000\n12082 18220\n89873 100000\n86059 100000\n63506 95303\n77670 100000\n71233 100000\n7778 11728\n34398 51718\n81195 100000\n55755 83688\n29609 44498\n31825 47858\n85953 100000\n51467 77257\n70994 100000\n47151 70780\n32576 49006\n90544 100000\n94416 100000\n35965 54059\n6799 10230\n40432 60732\n94924 100000\n1645 2490\n59918 89943\n10349 15597\n56045 84126\n43727 65668\n18003 27089\n95277 100000\n35007 52629\n71088 100000\n21649 32566\n96347 100000\n71280 100000\n18212 27408\n32052 48198\n83124 100000\n18172 27346\n25911 38947\n79209 100000\n94847 100000\n61480 92285\n43509 65339\n46603 69965\n33181 49910\n23451 35264\n31081 46724\n85428 100000\n3500 5252\n80046 100000\n15466 23252\n13357 20117\n34481 51838\n45948 68985\n39560 59451\n86926 100000\n87376 100000\n96562 100000\n4859 7295\n76893 100000\n79255 100000\n67071 100000\n8326 12548\n34220 51462\n82047 100000\n35194 52907\n71562 100000\n87293 100000\n23768 35760\n71501 100000\n60184 90334\n51386 77141\n97261 100000\n55100 82696\n49502 74336\n661 1004\n24735 37201\n52635 79014\n94650 100000\n57717 86629\n49907 74940\n30332 45575\n97622 100000\n78155 100000\n65252 97887\n81994 100000\n63408 95162\n44574 66906\n15163 22816\n47049 70636\n76452 100000\n33510 50391\n55290 82986\n78438 100000\n54212 81367\n69391 100000\n97143 100000\n25103 37748\n75195 100000\n13283 20001\n67492 100000\n22242 33458\n71025 100000\n88095 100000\n77378 100000\n90549 100000\n80432 100000\n76868 100000\n26457 39756\n85707 100000\n99852 100000\n49022 73614\n11209 16878\n69331 100000\n80025 100000\n25238 37943\n70770 100000\n91770 100000\n78483 100000\n20840 31362\n86588 100000\n33784 50804\n72970 100000\n19930 29973\n49020 73612\n81505 100000\n67100 100000\n56691 85063\n76408 100000\n86469 100000\n15018 22607\n70160 100000\n94816 100000\n4323 6483\n38120 57306\n61140 91779\n32558 48972\n23078 34704\n54239 81411\n37175 55901\n75660 100000\n97516 100000\n20174 30348\n26648 40032\n24990 37576\n70244 100000\n35518 53389\n2540 3834\n84543 100000\n15748 23660\n13663 20567\n42292 63518\n55461 83246\n36378 54710\n80382 100000\n70490 100000\n84617 100000\n30814 46310\n38591 58024\n77884 100000\n46855 70356\n4695 7045\n26128 39266\n88220 100000\n86131 100000\n39777 59764\n15945 23961\n81022 100000\n79638 100000\n24120 36278\n35473 53323\n45101 67708\n64247 96392\n85599 100000\n13403 20181\n65716 98571\n96431 100000\n82826 100000\n39349 59145\n6423 9658\n56838 85301\n97239 100000\n12264 18478\n53308 80005\n82788 100000\n76761 100000\n73975 100000\n51598 77449\n64763 97163\n61144 91785\n20363 30642\n15474 23265\n32584 49019\n91089 100000\n3742 5612\n29161 43824\n80230 100000\n99796 100000\n37379 56210\n71107 100000\n23728 35698\n86019 100000\n76334 100000\n877 1332\n81463 100000\n30149 45299\n13656 20557\n67806 100000\n76389 100000\n41568 62440\n72822 100000\n5505 8268\n19356 29113\n69701 100000\n59625 89505\n53971 81005\n92042 100000\n13181 19851\n95722 100000\n8023 12090\n58544 87873\n2113 3185\n15700 23593\n45394 68158\n66218 99342\n34480 51837\n9785 14735\n62144 93276\n55737 83659\n4570 6857\n96328 100000\n8395 12658\n28699 43125\n15259 22955\n31580 47493\n40208 60406\n64478 96735\n91232 100000\n76585 100000\n62587 93945\n44273 66471\n30858 46381\n14546 21907\n29064 43679\n87989 100000\n59136 88772\n47065 70656\n38049 57200\n6164 9252\n21546 32397\n2668 4030\n34101 51282\n58395 87652\n3704 5555\n61158 91806\n33602 50530\n76917 100000\n63373 95111\n57391 86132\n29068 43684\n71733 100000\n98384 100000\n94807 100000\n30560 45930\n1144 1731\n56892 85382\n12121 18278\n32034 48169\n16151 24285\n61788 92744\n1857 2817\n30543 45907\n91192 100000\n70763 100000\n86050 100000\n26295 39515\n54702 82101\n77418 100000\n64327 96510\n69495 100000\n26074 39182\n56392 84633\n60114 90237\n42028 63125\n10106 15220\n26051 39148\n80515 100000\n32009 48133\n32089 48254\n88177 100000\n80648 100000\n29475 44293\n59969 90021\n37542 56453\n14499 21838\n30951 46528\n40946 61506\n37360 56178\n59064 88665\n11308 17029\n54486 81779\n44172 66334\n22527 33881\n44473 66758\n54286 81490\n41352 62107\n43711 65642\n67074 100000\n62893 94405\n97508 100000\n63802 95740\n98944 100000\n46612 69979\n86466 100000\n9917 14927\n59715 89647\n76317 100000\n33505 50383\n43051 64649\n64614 96942\n79820 100000\n91602 100000\n24450 36763\n11965 18045\n21373 32148\n15156 22806\n41690 62623\n57071 85654\n73707 100000\n97047 100000\n52394 78661\n24796 37291\n22741 34201\n85326 100000\n39907 59954\n47774 71722\n83476 100000\n10332 15569\n80021 100000\n15043 22646\n29253 43959\n249 371\n71283 100000\n87931 100000\n10565 15910\n59238 88928\n3621 5428\n40806 61297\n91551 100000\n10773 16224\n94080 100000\n12223 18414\n73965 100000\n66281 99436\n93606 100000\n51330 77057\n40875 61399\n43721 65658\n22318 33573\n16483 24778\n82082 100000\n1922 2905\n34423 51753\n45987 69046\n63407 95161\n81284 100000\n2584 3899\n30624 46027\n62755 94197\n83479 100000\n91665 100000\n47570 71409\n13210 19893\n98965 100000\n61995 93047\n73313 100000\n55494 83292\n85049 100000\n97337 100000\n60389 90646\n25095 37738\n57635 86499\n53183 79819\n86186 100000\n15433 23203\n63217 94886\n15730 23634\n741 1128\n53698 80586\n59322 89061\n87222 100000\n68503 100000\n3429 5157\n44490 66781\n68668 100000\n35802 53818\n13032 19629\n14512 21858\n22786 34266\n77911 100000\n61793 92751\n38403 57743\n26453 39751\n39633 59561\n68124 100000\n57609 86460\n73506 100000\n47145 70770\n65307 97967\n50706 76117\n27169 40826\n54017 81071\n25682 38605\n20472 30808\n50248 75445\n9435 14218\n81336 100000\n68748 100000\n49594 74476\n96175 100000\n47806 71769\n27354 41105\n59323 89062\n97059 100000\n61740 92669\n89395 100000\n5613 8427\n13207 19889\n81017 100000\n19200 28882\n24197 36394\n24383 36666\n98597 100000\n3717 5577\n22990 34572\n88074 100000\n24350 36618\n53421 80178\n8407 12674\n30570 45946\n47225 70893\n20378 30664\n6828 10274\n15921 23927\n95396 100000\n37146 55860\n66412 99634\n86742 100000\n46244 69432\n70216 100000\n22814 34310\n80804 100000\n36108 54285\n68775 100000\n64007 96037\n9253 13940\n64275 96437\n26658 40048\n34575 51971\n11221 16897\n81008 100000\n44565 66895\n89027 100000\n31133 46808\n90131 100000\n92402 100000\n78541 100000\n12645 19042\n28651 43059\n28733 43177\n78116 100000\n94651 100000\n91783 100000\n94218 100000\n93647 100000\n3791 5689\n79513 100000\n52951 79481\n2821 4258\n36137 54328\n84921 100000\n1725 2613\n58852 88346\n13266 19974\n18903 28444\n76519 100000\n26831 40322\n50573 75921\n30907 46457\n31599 47522\n93802 100000\n9650 14539\n47506 71315\n90205 100000\n78754 100000\n17263 25957\n1764 2675\n98133 100000\n23019 34613\n3716 5575\n81487 100000\n30333 45577\n59429 89226\n61688 92592\n32653 49127\n96718 100000\n82246 100000\n46410 69685\n99890 100000\n82010 100000\n32219 48464\n95516 100000\n34548 51933\n14251 21456\n93174 100000\n48396 72686\n55734 83654\n79955 100000\n76608 100000\n41032 61631\n61113 91740\n38325 57625\n14604 21991\n8529 12856\n73352 100000\n92442 100000\n24780 37266\n8829 13301\n20266 30492\n35325 53106\n88424 100000\n53165 79793\n97234 100000\n7071 10650\n36066 54221\n88429 100000\n6240 9362\n39515 59386\n71098 100000\n71870 100000\n28264 42465\n56712 85096\n48908 73446\n95771 100000\n42055 63163\n6896 10375\n29177 43847\n59391 89168\n53677 80554\n68754 100000\n31353 47143\n88041 100000\n40473 60793\n63814 95757\n68262 100000\n96345 100000\n27963 42025\n18664 28080\n68510 100000\n49235 73939\n29181 43852\n82420 100000\n23868 35916\n69049 100000\n51648 77523\n30468 45787\n45863 68856\n62152 93289\n73796 100000\n37664 56635\n77042 100000\n15706 23602\n21456 32276\n97528 100000\n28864 43379\n74653 100000\n10911 16430\n56104 84209\n83243 100000\n19839 29839\n94457 100000\n960 1454\n9040 13615\n53288 79974\n62831 94314\n87171 100000\n21384 32166\n1004 1520\n87761 100000\n55593 83441\n67688 100000\n26526 39854\n83169 100000\n70125 100000\n5862 8797\n66708 100000\n61102 91725\n32334 48640\n90792 100000\n5507 8270\n25027 37632\n80287 100000\n66020 99033\n40519 60859\n53303 79997\n45473 68277\n21292 32036\n44369 66613\n1166 1762\n51013 76575\n61067 91675\n80522 100000\n91380 100000\n16136 24262\n66127 99204\n50688 76090\n25905 38939\n4663 6999\n1782 2705\n30866 46395\n99841 100000\n27797 41779\n59459 89267\n49448 74252\n49981 75048\n36728 55227\n43563 65422\n30563 45933\n8417 12690\n55395 83141\n36834 55382\n17198 25859\n41561 62429\n36792 55322\n43786 65758\n98835 100000\n53689 80571\n26533 39865\n82287 100000\n1603 2421\n34303 51578\n99515 100000\n39387 59204\n82669 100000\n48325 72584\n59634 89518\n13196 19874\n76853 100000\n78844 100000\n34314 51593\n20398 30693\n65673 98510\n49299 74034\n41112 61750\n87689 100000\n2244 3390\n47759 71701\n69582 100000\n48147 72309\n81508 100000\n82661 100000\n75310 100000\n27558 41414\n50113 75237\n62779 94234\n22224 33430\n73847 100000\n97846 100000\n57676 86562\n312 466\n46385 69649\n869 1318\n44285 66491\n68893 100000\n24170 36355\n25370 38144\n36377 54708\n87001 100000\n45434 68217\n99095 100000\n37955 57063\n94565 100000\n39177 58885\n57299 85996\n55863 83846\n26083 39198\n60640 91026\n61245 91941\n61398 92156\n59713 89645\n91502 100000\n46047 69135\n23433 35240\n19951 30007\n64936 97416\n54427 81694\n3807 5717\n45089 67689\n98480 100000\n40096 60239\n94333 100000\n97472 100000\n26806 40282\n29398 44180\n32466 48835\n24107 36259\n36864 55432\n96192 100000\n80313 100000\n66146 99235\n96821 100000\n22727 34181\n65466 98201\n89848 100000\n66171 99270\n76012 100000\n32700 49190\n88768 100000\n88428 100000\n85500 100000\n48750 73221\n83407 100000\n84131 100000\n24853 37375\n37994 57121\n8282 12485\n30180 45350\n44344 66575\n92972 100000\n59532 89371\n46285 69501\n323 484\n31989 48107\n53399 80145\n26440 39735\n7196 10845\n42628 64034\n47801 71763\n44873 67356\n4709 7066\n71688 100000\n6553 9848\n52369 78623\n61273 91979\n96947 100000\n50651 76032\n3615 5419\n384 573\n5737 8608\n22354 33624\n66521 99795\n29807 44791\n27317 41051\n21718 32669\n91473 100000\n65116 97680\n37498 56386\n25884 38907\n22345 33610\n90528 100000\n28821 43314\n25301 38040\n66514 99786\n90090 100000\n33707 50687\n54906 82405\n51131 76751\n50460 75757\n55542 83367\n13560 20411\n48080 72202\n41813 62806\n47916 71942\n95298 100000\n40101 60245\n79965 100000\n57311 86013\n14116 21241\n19107 28747\n98367 100000\n5784 8677\n82223 100000\n54607 81959\n85568 100000\n86516 100000\n57023 85579\n18697 28132\n12635 19029\n20393 30685\n42770 64242\n27924 41961\n70730 100000\n98429 100000\n15687 23575\n69927 100000\n19843 29845\n30779 46263\n54952 82474\n36215 54456\n96791 100000\n69947 100000\n36752 55261\n27842 41845\n96692 100000\n60155 90295\n62069 93161\n24138 36305\n4026 6048\n12291 18519\n12038 18152\n78817 100000\n35468 53316\n20872 31409\n81546 100000\n15027 22620\n61633 92509\n66607 99922\n95528 100000\n95079 100000\n91381 100000\n90951 100000\n78948 100000\n14636 22037\n60735 91165\n81824 100000\n11643 17554\n99169 100000\n82 120\n6848 10304\n84527 100000\n42736 64192\n97641 100000\n76212 100000\n53081 79669\n2469 3732\n69248 100000\n36497 54888\n54921 82426\n96131 100000\n66660 100000\n85994 100000\n45245 67928\n86842 100000\n19177 28850\n67130 100000\n65768 98648\n53187 79825\n85396 100000\n72543 100000\n56958 85481\n16124 24244\n69327 100000\n80137 100000\n81243 100000\n52245 78430\n17432 26219\n14030 21123\n8669 13063\n61771 92716\n95991 100000\n67628 100000\n49983 75052\n70196 100000\n2456 3711\n87264 100000\n21712 32661\n63990 96011\n57240 85910\n42882 64403\n32831 49389\n88286 100000\n37849 56911\n3480 5224\n92155 100000\n65884 98825\n69515 100000\n26159 39315\n23226 34927\n81902 100000\n84480 100000\n49899 74928\n53511 80307\n44359 66598\n45697 68605\n67293 100000\n4918 7381\n18534 27885\n71304 100000\n77380 100000\n96158 100000\n24192 36386\n7810 11769\n30512 45856\n26049 39145\n35396 53207\n76120 100000\n21557 32415\n17780 26751\n98568 100000\n15546 23365\n65090 97638\n70508 100000\n97718 100000\n48827 73330\n41863 62884\n80638 100000\n88183 100000\n17681 26596\n316 472\n3987 5989\n17816 26806\n48634 73045\n75832 100000\n68492 100000\n656 994\n83066 100000\n51889 77891\n8303 12518\n84892 100000\n17428 26213\n41025 61620\n47136 70757\n75284 100000\n73959 100000\n20118 30268\n39712 59679\n56576 84896\n70429 100000\n40267 60488\n99955 100000\n81895 100000\n81216 100000\n82939 100000\n39493 59352\n27461 41276\n11134 16766\n4851 7285\n49862 74874\n25860 38873\n19571 29433\n60704 91120\n32384 48710\n2311 3493\n11526 17368\n45435 68218\n55291 82988\n46812 70282\n59770 89728\n68964 100000\n33716 50703\n600 914\n19266 28980\n10316 15546\n36678 55157\n4466 6699\n45223 67889\n62832 94315\n94758 100000\n94700 100000\n87787 100000\n3075 4640\n91722 100000\n78927 100000\n33967 51079\n98932 100000\n79440 100000\n48360 72630\n33148 49867\n35296 53059\n90200 100000\n60443 90727\n78752 100000\n85058 100000\n85440 100000\n14931 22475\n90774 100000\n64857 97307\n83653 100000\n36880 55458\n29637 44537\n87740 100000\n26765 40217\n82289 100000\n12906 19444\n48258 72475\n8550 12888\n14403 21693\n36569 54991\n71176 100000\n29790 44767\n61513 92336\n4771 7159\n34883 52450\n14776 22249\n2734 4132\n27206 40884\n3085 4654\n87095 100000\n30395 45673\n88014 100000\n27208 40888\n70549 100000\n42269 63482\n69131 100000\n98275 100000\n30502 45838\n94500 100000\n62653 94041\n34887 52456\n92827 100000\n61737 92664\n28105 42226\n98435 100000\n89355 100000\n60587 90940\n66511 99781\n23080 34707\n69219 100000\n45081 67677\n47535 71357\n28707 43136\n30000 45077\n90257 100000\n69959 100000\n95449 100000\n73187 100000\n80675 100000\n85315 100000\n21419 32217\n54512 81818\n45032 67608\n65910 98863\n90763 100000\n77547 100000\n41389 62164\n47300 71004\n79750 100000\n93994 100000\n96885 100000\n13635 20525\n467 706\n33999 51133\n78830 100000\n44754 67178\n98369 100000\n75270 100000\n68874 100000\n78326 100000\n60860 91364\n52458 78755\n82304 100000\n15249 22941\n21853 32873\n3067 4626\n22776 34252\n67168 100000\n41153 61807\n70138 100000\n61151 91795\n26965 40516\n76698 100000\n68350 100000\n61189 91854\n96969 100000\n69035 100000\n85260 100000\n53460 80232\n11787 17774\n23165 34836\n75836 100000\n65382 98072\n17194 25853\n44609 66961\n76654 100000\n11392 17151\n19812 29798\n44479 66767\n77292 100000\n56640 84988\n43123 64753\n40048 60163\n32669 49146\n11708 17654\n79039 100000\n11126 16754\n33090 49778\n14749 22209\n93516 100000\n25985 39054\n87943 100000\n53631 80487\n80915 100000\n83159 100000\n82354 100000\n60738 91169\n15563 23392\n90132 100000\n13082 19703\n71087 100000\n25809 38792\n22214 33416\n37932 57030\n21073 31702\n36833 55380\n97716 100000\n89237 100000\n4666 7003\n64509 96781\n14448 21760\n713 1085\n52539 78876\n20893 31442\n17625 26514\n72210 100000\n738 1123\n80959 100000\n59609 89479\n72579 100000\n83425 100000\n38122 57309\n68914 100000\n41662 62582\n22803 34292\n95480 100000\n84065 100000\n46437 69727\n54268 81460\n38477 57854\n99799 100000\n37040 55700\n12442 18750\n15449 23226\n50200 75371\n52666 79061\n38800 58336\n31073 46713\n51366 77109\n84382 100000\n45504 68320\n67384 100000\n16744 25172\n71684 100000\n31845 47888\n39286 59049\n75673 100000\n21107 31751\n70183 100000\n48572 72956\n18495 27831\n4797 7198\n63557 95386\n441 664\n61661 92557\n41623 62525\n98037 100000\n66605 99920\n67703 100000\n32438 48792\n54146 81272\n32612 49062\n28439 42733\n86849 100000\n52487 78796\n68480 100000\n62723 94146\n66029 99048\n70080 100000\n25080 37714\n67629 100000\n55157 82788\n30840 46353\n62818 94296\n52720 79141\n15370 23111\n22178 33363\n17109 25724\n63676 95559\n91779 100000\n1168 1765\n89817 100000\n91739 100000\n57312 86014\n87514 100000\n25456 38276\n38779 58307\n11153 16796\n70755 100000\n70332 100000\n33405 50237\n49505 74342\n69839 100000\n68269 100000\n4504 6758\n24233 36449\n96150 100000\n65412 98114\n10042 15121\n62843 94331\n24343 36607\n77540 100000\n8216 12383\n24565 36943\n60353 90591\n3724 5587\n64349 96542\n3963 5952\n80005 100000\n20625 31033\n45788 68741\n17305 26025\n28937 43484\n99371 100000\n82490 100000\n55199 82851\n40800 61286\n25337 38093\n84244 100000\n11013 16583\n49537 74389\n32625 49082\n87113 100000\n45062 67652\n88940 100000\n5490 8246\n88804 100000\n93238 100000\n8800 13254\n53936 80953\n23466 35288\n82562 100000\n18904 28446\n71793 100000\n46248 69440\n51224 76888\n69486 100000\n17929 26979\n1975 2983\n92091 100000\n87500 100000\n62011 93076\n7374 11110\n51748 77673\n36609 55054\n5732 8601\n69305 100000\n59508 89336\n53860 80838\n18234 27439\n67469 100000\n60616 90985\n72863 100000\n96839 100000\n76146 100000\n50360 75609\n94858 100000\n56500 84786\n52926 79443\n66164 99259\n97072 100000\n36011 54134\n76615 100000\n23740 35716\n7092 10686\n98393 100000\n49985 75055\n87275 100000\n87044 100000\n85171 100000\n93554 100000\n48623 73031\n22114 33268\n80530 100000\n53629 80485\n77224 100000\n74425 100000\n4910 7369\n11814 17816\n30300 45527\n29984 45055\n78821 100000\n14747 22205\n25672 38591\n61417 92185\n45118 67732\n5181 7782\n53182 79818\n83916 100000\n14515 21862\n71839 100000\n22182 33369\n61239 91931\n72333 100000\n58964 88513\n98416 100000\n59095 88710\n81329 100000\n18205 27396\n42964 64527\n46099 69212\n87622 100000\n89011 100000\n11039 16621\n92181 100000\n2914 4399\n95066 100000\n42693 64129\n50320 75550\n46769 70216\n92778 100000\n46298 69520\n84384 100000\n68487 100000\n34412 51737\n81348 100000\n36722 55219\n57233 85901\n43192 64854\n90711 100000\n22816 34313\n86458 100000\n68531 100000\n82283 100000\n76309 100000\n99668 100000\n76581 100000\n16323 24542\n66975 100000\n31960 48059\n74542 100000\n50881 76372\n69691 100000\n74299 100000\n83952 100000\n24984 37566\n82336 100000\n28625 43020\n89715 100000\n22945 34503\n47504 71312\n41035 61636\n95468 100000\n54742 82160\n17255 25943\n31993 48113\n73021 100000\n46194 69357\n33287 50064\n32743 49252\n26852 40353\n59997 90063\n75089 100000\n46398 69667\n99584 100000\n54398 81649\n1113 1684\n49665 74580\n28953 43512\n26141 39286\n49337 74089\n54046 81115\n72823 100000\n20045 30155\n75377 100000\n67440 100000\n5908 8870\n16022 24086\n83387 100000\n24224 36437\n23473 35300\n87905 100000\n52908 79415\n63462 95238\n11543 17393\n82907 100000\n24868 37397\n1719 2603\n69677 100000\n63956 95967\n99888 100000\n57792 86738\n26024 39109\n43513 65345\n38463 57835\n79386 100000\n33655 50606\n26640 40022\n69985 100000\n70243 100000\n43718 65653\n18027 27127\n18444 27755\n18677 28100\n68751 100000\n5740 8611\n38898 58481\n63961 95973\n45264 67958\n36314 54612\n80989 100000\n11226 16905\n45261 67954\n60871 91381\n35442 53278\n57782 86726\n56969 85498\n81652 100000\n73139 100000\n94855 100000\n68703 100000\n51354 77091\n14158 21310\n97078 100000\n53529 80336\n25312 38057\n54897 82393\n57636 86501\n43566 65427\n32799 49345\n73717 100000\n60146 90284\n53397 80141\n42709 64152\n89454 100000\n74391 100000\n91596 100000\n44594 66939\n96290 100000\n70928 100000\n76495 100000\n57413 86163\n27852 41858\n30022 45111\n73208 100000\n68904 100000\n89620 100000\n48577 72964\n33701 50677\n59438 89236\n12134 18294\n15985 24025\n83126 100000\n83495 100000\n29621 44515\n81261 100000\n89967 100000\n29173 43841\n68335 100000\n99685 100000\n5661 8493\n88243 100000\n32307 48598\n8426 12702\n85767 100000\n13553 20402\n10241 15426\n31563 47468\n52232 78412\n72613 100000\n50198 75368\n74017 100000\n34808 52337\n3904 5857\n71723 100000\n671 1020\n48327 72586\n61039 91632\n8891 13389\n3592 5390\n41476 62300\n52312 78532\n80571 100000\n86202 100000\n547 832\n84353 100000\n78699 100000\n84998 100000\n80014 100000\n78207 100000\n23920 35995\n86501 100000\n77936 100000\n62969 94513\n45149 67778\n1395 2103\n54611 81965\n41228 61921\n54047 81117\n12210 18398\n59259 88960\n83131 100000\n98408 100000\n44734 67146\n69791 100000\n36589 55022\n65234 97857\n72099 100000\n21462 32285\n95855 100000\n71225 100000\n668 1015\n10513 15840\n13141 19789\n5294 7961\n13080 19701\n78303 100000\n63493 95281\n71769 100000\n99396 100000\n67118 100000\n17911 26951\n49584 74463\n1637 2477\n17094 25702\n38708 58195\n50401 75667\n33050 49718\n32632 49093\n85158 100000\n21088 31725\n3540 5313\n89503 100000\n21827 32833\n40638 61047\n94465 100000\n90210 100000\n19170 28839\n25065 37690\n41826 62825\n99414 100000\n91701 100000\n76058 100000\n3818 5731\n29263 43976\n66839 100000\n15869 23851\n27127 40766\n86345 100000\n91682 100000\n51806 77759\n2277 3441\n88110 100000\n55327 83043\n98412 100000\n3397 5112\n99225 100000\n22854 34369\n61708 92625\n11367 17116\n16327 24549\n48417 72720\n40446 60753\n3685 5526\n71555 100000\n19576 29441\n68421 100000\n66083 99136\n49758 74719\n64927 97404\n66709 100000\n2737 4136\n7988 12038\n37576 56504\n23604 35502\n77872 100000\n18699 28134\n64709 97086\n71231 100000\n602 917\n78006 100000\n30743 46213\n60849 91347\n65152 97736\n56487 84767\n27801 41785\n85846 100000\n81119 100000\n98721 100000\n56925 85427\n10175 15324\n77839 100000\n40880 61408\n28840 43343\n85710 100000\n34892 52466\n59603 89469\n93789 100000\n64925 97402\n31426 47257\n77582 100000\n83699 100000\n81091 100000\n61747 92682\n9948 14974\n57480 86263\n42596 63987\n21448 32264\n33195 49932\n15316 23035\n80470 100000\n42860 64372\n63649 95520\n8881 13372\n16515 24828\n14578 21951\n29782 44758\n92236 100000\n98991 100000\n45135 67759\n6055 9088\n33225 49977\n79429 100000\n27655 41565\n25348 38109\n62556 93893\n3391 5104\n17858 26869\n65350 98024\n10933 16463\n88493 100000\n42250 63453\n93123 100000\n8631 13008\n13586 20453\n73005 100000\n86206 100000\n76775 100000\n86434 100000\n77179 100000\n58627 88000\n81978 100000\n71824 100000\n91769 100000\n55353 83080\n87548 100000\n26358 39613\n76476 100000\n35613 53532\n79298 100000\n4092 6144\n22494 33834\n96340 100000\n557 844\n37217 55964\n59211 88884\n42979 64551\n84460 100000\n66440 99676\n87119 100000\n77931 100000\n16096 24199\n38078 57239\n61117 91746\n78782 100000\n9384 14143\n40377 60650\n3341 5031\n84902 100000\n17359 26113\n41116 61756\n25632 38531\n62863 94361\n10910 16428\n7175 10810\n89925 100000\n12848 19352\n2700 4078\n68987 100000\n90260 100000\n81646 100000\n14053 21155\n21554 32409\n33491 50363\n11754 17728\n46491 69808\n61383 92133\n87432 100000\n49838 74833\n64435 96670\n40797 61283\n97936 100000\n40857 61372\n75418 100000\n26309 39536\n38292 57571\n50568 75915\n96571 100000\n11583 17458\n18988 28572\n4257 6386\n97394 100000\n1757 2665\n95011 100000\n37059 55727\n50504 75819\n5803 8708\n91456 100000\n82712 100000\n41313 62048\n2836 4282\n74917 100000\n82286 100000\n17152 25789\n13437 20232\n76453 100000\n75525 100000\n99277 100000\n79211 100000\n6735 10130\n25872 38891\n62142 93273\n4355 6532\n10462 15764\n78405 100000\n35837 53871\n58816 88294\n60138 90273\n29250 43956\n15046 22651\n33349 50154\n16711 25126\n43947 65997\n16014 24073\n79584 100000\n89883 100000\n50405 75673\n79994 100000\n97045 100000\n67481 100000\n28788 43260\n91614 100000\n60140 90277\n9700 14611\n81727 100000\n12354 18618\n1132 1712\n85446 100000\n31261 47006\n3467 5205\n84664 100000\n50061 75167\n57505 86300\n71712 100000\n42945 64499\n57208 85866\n94469 100000\n53762 80685\n49599 74485\n50461 75759\n96515 100000\n60986 91557\n56598 84928\n55496 83295\n98016 100000\n16712 25127\n37165 55885\n82809 100000\n39451 59294\n97844 100000\n18550 27905\n8648 13031\n19053 28671\n1723 2610\n55994 84045\n69923 100000\n65371 98056\n58126 87245\n97568 100000\n48888 73417\n86207 100000\n14537 21893\n55432 83196\n12108 18257\n17221 25896\n37771 56796\n9939 14962\n27902 41929\n72548 100000\n28620 43012\n33947 51051\n83049 100000\n54111 81217\n57161 85792\n85602 100000\n83941 100000\n70767 100000\n93672 100000\n84523 100000\n8701 13108\n37989 57113\n6432 9672\n7742 11675\n21774 32752\n67599 100000\n4503 6756\n14492 21825\n85810 100000\n75829 100000\n19026 28630\n43111 64734\n26685 40090\n517 783\n50792 76244\n11559 17418\n95666 100000\n59697 89616\n63818 95764\n75503 100000\n32820 49375\n2648 4002\n26560 39905\n18349 27611\n80008 100000\n41292 62018\n89311 100000\n59915 89939\n60663 91062\n26138 39281\n11498 17328\n33631 50572\n63967 95981\n74441 100000\n41804 62793\n78761 100000\n20344 30612\n64070 96133\n9591 14446\n96638 100000\n12298 18529\n19546 29396\n59547 89391\n44210 66385\n75905 100000\n13104 19734\n42449 63755\n11556 17413\n14717 22158\n52858 79339\n44683 67073\n61551 92391\n13831 20827\n51449 77230\n55059 82630\n85403 100000\n67037 100000\n54015 81069\n76485 100000\n44036 66128\n44736 67149\n3426 5152\n69739 100000\n21320 32077\n69002 100000\n98907 100000\n81271 100000\n83576 100000\n96677 100000\n44505 66802\n55824 83793\n23413 35210\n93161 100000\n58674 88072\n96004 100000\n76752 100000\n90563 100000\n98360 100000\n1039 1576\n51491 77292\n89003 100000\n96472 100000\n89365 100000\n49230 73931\n10916 16438\n7989 12039\n40469 60787\n6381 9589\n34525 51900\n90667 100000\n8384 12641\n56683 85050\n46802 70267\n20615 31018\n19092 28730\n39364 59168\n64719 97102\n77916 100000\n62308 93523\n79314 100000\n57804 86755\n69581 100000\n96071 100000\n34430 51766\n93371 100000\n63177 94827\n4752 7128\n85321 100000\n29776 44749\n81332 100000\n24930 37485\n14072 21180\n23865 35910\n88021 100000\n99489 100000\n84748 100000\n56531 84833\n57110 85715\n32017 48143\n39304 59076\n46124 69247\n55430 83193\n65225 97843\n76643 100000\n66109 99175\n79964 100000\n95882 100000\n1897 2871\n72001 100000\n32845 49411\n28287 42497\n27102 40729\n62391 93645\n586 891\n86677 100000\n44218 66395\n23727 35697\n32051 48197\n36954 55572\n80248 100000\n16690 25097\n33594 50517\n82329 100000\n43336 65084\n50342 75581\n21813 32814\n60183 90333\n13262 19967\n7046 10614\n38776 58302\n16098 24201\n39551 59439\n9220 13884\n89589 100000\n55141 82765\n48990 73567\n63582 95426\n60028 90109\n98334 100000\n57862 86840\n37417 56263\n52034 78112\n40869 61392\n13333 20079\n56772 85199\n20313 30564\n73725 100000\n99297 100000\n91403 100000\n56315 84525\n53653 80518\n33016 49669\n10580 15931\n44915 67423\n18343 27601\n32704 49195\n41104 61739\n17972 27042\n74837 100000\n26165 39321\n74827 100000\n76113 100000\n1860 2821\n64635 96972\n74435 100000\n74839 100000\n51920 77939\n32094 48261\n32112 48290\n89759 100000\n21006 31607\n40005 60101\n25380 38157\n13916 20954\n63238 94915\n90748 100000\n13765 20721\n29333 44083\n5252 7889\n33244 50004\n90996 100000\n11711 17660\n64786 97203\n29647 44553\n92320 100000\n50212 75393\n2842 4291\n70105 100000\n2228 3364\n37264 56037\n67953 100000\n30087 45206\n84729 100000\n25041 37655\n14110 21232\n70373 100000\n80111 100000\n78998 100000\n56801 85242\n72462 100000\n51230 76898\n68877 100000\n91487 100000\n17092 25700\n43363 65126\n14778 22252\n29573 44446\n19138 28790\n23023 34620\n49212 73904\n82511 100000\n54962 82489\n68229 100000\n28926 43469\n6991 10527\n42401 63683\n5792 8688\n31888 47952\n51616 77473\n64017 96054\n43426 65219\n42539 63892\n15266 22963\n89492 100000\n89147 100000\n3585 5379\n78457 100000\n93790 100000\n26652 40038\n4028 6052\n33278 50053\n20422 30730\n16366 24605\n16286 24490\n8647 13030\n72199 100000\n66276 99431\n97028 100000\n2863 4323\n77015 100000\n56918 85418\n63188 94843\n97715 100000\n38689 58166\n78067 100000\n72588 100000\n43194 64858\n24643 37063\n94653 100000\n1223 1844\n67778 100000\n4370 6555\n57037 85601\n4675 7014\n85598 100000\n9902 14904\n66227 99356\n85505 100000\n67725 100000\n40829 61332\n74227 100000\n82612 100000\n63567 95403\n87673 100000\n24888 37425\n39951 60019\n74405 100000\n88354 100000\n1571 2374\n83266 100000\n9998 15052\n90077 100000\n72010 100000\n20546 30918\n11916 17968\n93226 100000\n1663 2515\n98467 100000\n32441 48796\n60095 90206\n58762 88208\n96098 100000\n88629 100000\n28963 43528\n21738 32698\n26491 39807\n51990 78048\n9246 13928\n59564 89418\n57041 85608\n56359 84584\n52942 79468\n22096 33242\n34142 51344\n87577 100000\n30069 45179\n27883 41902\n31860 47914\n96783 100000\n33814 50847\n31581 47495\n24236 36454\n4928 7397\n93446 100000\n61777 92727\n32524 48926\n85547 100000\n87796 100000\n2680 4047\n43128 64759\n57794 86741\n40262 60481\n56786 85218\n37756 56773\n1736 2631\n75234 100000\n40501 60834\n10353 15602\n39034 58687\n77387 100000\n7390 11131\n18693 28127\n77180 100000\n64422 96650\n52750 79182\n13253 19954\n74282 100000\n81838 100000\n65238 97863\n1910 2888\n82167 100000\n22008 33102\n60998 91573\n22780 34258\n1689 2555\n39941 60006\n96062 100000\n33724 50715\n35586 53494\n40646 61058\n81925 100000\n20072 30195\n35040 52676\n14733 22184\n61608 92471\n55815 83780\n87167 100000\n16773 25218\n99574 100000\n38344 57656\n34735 52222\n91172 100000\n71980 100000\n6044 9073\n79766 100000\n88003 100000\n33032 49690\n97531 100000\n79244 100000\n42962 64523\n82518 100000\n15087 22714\n75466 100000\n29780 44754\n76392 100000\n43278 64989\n16862 25349\n853 1296\n68675 100000\n48754 73226\n53733 80640\n84846 100000\n9946 14972\n73701 100000\n59967 90019\n15910 23914\n32249 48511\n69983 100000\n28442 42737\n70250 100000\n89488 100000\n39495 59356\n14186 21356\n43366 65129\n48149 72311\n72401 100000\n96126 100000\n21451 32269\n37163 55883\n60442 90726\n8729 13145\n35071 52724\n91839 100000\n15996 24043\n13949 21007\n89043 100000\n68296 100000\n17410 26189\n52984 79532\n32253 48518\n84005 100000\n67497 100000\n70199 100000\n71443 100000\n103 153\n12401 18686\n85263 100000\n25988 39058\n42753 64217\n55118 82727\n5592 8395\n44906 67409\n35996 54109\n60490 90796\n8948 13478\n20818 31330\n4638 6960\n97289 100000\n51292 76993\n31079 46722\n142 212\n47410 71173\n39627 59552\n24636 37052\n81126 100000\n21297 32044\n26171 39329\n65469 98206\n4723 7087\n67683 100000\n74820 100000\n27258 40961\n59362 89123\n61317 92040\n20694 31140\n85636 100000\n50263 75467\n43929 65970\n17115 25732\n91741 100000\n32581 49014\n41592 62473\n59141 88778\n36638 55095\n84153 100000\n83248 100000\n48530 72895\n64553 96851\n4814 7225\n31098 46751\n52440 78729\n60358 90600\n81402 100000\n2280 3445\n24065 36196\n10311 15536\n87596 100000\n77156 100000\n11635 17540\n60880 91391\n71367 100000\n5714 8573\n95563 100000\n54585 81926\n91431 100000\n64314 96492\n5033 7554\n6836 10286\n58839 88330\n75901 100000\n59229 88914\n30945 46517\n41796 62780\n77086 100000\n67728 100000\n31207 46923\n5283 7941\n47864 71856\n80907 100000\n69937 100000\n91713 100000\n53916 80925\n1624 2456\n93278 100000\n83935 100000\n30500 45834\n48878 73403\n82536 100000\n4707 7063\n19502 29329\n69496 100000\n9167 13804\n82722 100000\n39806 59806\n71781 100000\n4329 6494\n1219 1840\n75665 100000\n79043 100000\n91024 100000\n46185 69345\n2391 3617\n90106 100000\n25064 37688\n78028 100000\n76768 100000\n21207 31904\n47800 71762\n5502 8263\n8975 13519\n30358 45615\n90004 100000\n56887 85374\n76273 100000\n8849 13327\n98197 100000\n19455 29260\n55702 83610\n38533 57943\n73042 100000\n44549 66872\n1700 2573\n14975 22543\n68006 100000\n80837 100000\n98601 100000\n17033 25613\n52815 79276\n6356 9548\n70400 100000\n58785 88247\n51166 76805\n52509 78829\n63461 95237\n25365 38135\n6622 9952\n67134 100000\n31645 47592\n35405 53220\n80180 100000\n62738 94170\n97393 100000\n95458 100000\n20446 30765\n21780 32761\n46773 70223\n95604 100000\n98350 100000\n8604 12965\n76210 100000\n60564 90904\n5635 8456\n52881 79372\n26914 40443\n83199 100000\n66895 100000\n32483 48858\n80838 100000\n82993 100000\n22310 33562\n77120 100000\n53777 80709\n79326 100000\n93768 100000\n50834 76304\n62093 93197\n61314 92036\n70795 100000\n72774 100000\n70076 100000\n83573 100000\n51345 77079\n51461 77246\n95615 100000\n9380 14137\n98674 100000\n94504 100000\n70537 100000\n96302 100000\n29770 44741\n19245 28948\n44999 67559\n9524 14348\n75989 100000\n26469 39775\n75775 100000\n95086 100000\n50348 75591\n96168 100000\n99352 100000\n82093 100000\n1660 2512\n16659 25049\n3147 4747\n77689 100000\n47701 71615\n25745 38702\n31363 47158\n84703 100000\n62345 93573\n84751 100000\n69933 100000\n22717 34167\n22807 34299\n2890 4366\n39074 58746\n22975 34550\n90186 100000\n93259 100000\n33074 49755\n83290 100000\n70542 100000\n30505 45843\n62868 94367\n69907 100000\n16940 25475\n6653 10005\n21896 32939\n50747 76177\n23029 34627\n39836 59852\n27074 40685\n19818 29805\n97546 100000\n20079 30207\n26118 39249\n40128 60286\n20909 31467\n53369 80097\n55423 83182\n21163 31836\n56187 84332\n63501 95296\n68094 100000\n75988 100000\n67966 100000\n23581 35470\n22294 33541\n35939 54022\n90538 100000\n56343 84560\n10959 16503\n90768 100000\n92494 100000\n11919 17972\n5813 8724\n13016 19607\n5728 8594\n72375 100000\n65940 98910\n10668 16063\n28869 43385\n29569 44441\n83562 100000\n60936 91476\n18317 27562\n98346 100000\n94920 100000\n41678 62602\n99348 100000\n25813 38798\n99156 100000\n44203 66375\n54356 81590\n39841 59859\n23453 35266\n94722 100000\n60950 91497\n66573 99876\n66911 100000\n77027 100000\n23235 34939\n45552 68392\n86295 100000\n77082 100000\n87133 100000\n20408 30709\n9208 13866\n50618 75990\n42056 63164\n94512 100000\n3811 5722\n94414 100000\n51664 77548\n60491 90798\n95170 100000\n60206 90366\n90451 100000\n58763 88210\n73902 100000\n81861 100000\n28249 42441\n9323 14048\n99389 100000\n64524 96806\n61765 92705\n8551 12890\n95027 100000\n95686 100000\n87540 100000\n99703 100000\n27319 41055\n54631 81995\n15720 23621\n7159 10788\n28005 42084\n43583 65456\n41302 62032\n72725 100000\n93503 100000\n73054 100000\n3982 5981\n11692 17630\n7689 11591\n96125 100000\n55889 83885\n91530 100000\n63762 95682\n47446 71227\n16060 24143\n46990 70547\n84009 100000\n1756 2663\n32819 49374\n28964 43529\n67940 100000\n7450 11224\n84558 100000\n90612 100000\n41154 61808\n29176 43845\n83784 100000\n9219 13882\n39102 58785\n11236 16922\n86504 100000\n62158 93297\n82555 100000\n31358 47152\n51661 77544\n94462 100000\n93202 100000\n79941 100000\n15123 22763\n34222 51465\n20815 31325\n67680 100000\n56523 84820\n12890 19418\n6252 9382\n80209 100000\n96613 100000\n70726 100000\n6572 9875\n24258 36484\n458 689\n61154 91800\n93114 100000\n62314 93529\n919 1395\n9152 13779\n563 853\n60323 90550\n49806 74788\n29792 44771\n49834 74827\n29413 44205\n14874 22394\n54821 82282\n52225 78402\n95177 100000\n27227 40916\n51222 76885\n88030 100000\n30572 45949\n44914 67422\n53175 79808\n81719 100000\n59991 90054\n20111 30258\n14090 21203\n810 1229\n38869 58439\n73044 100000\n22566 33939\n12602 18979\n1965 2970\n17729 26672\n95967 100000\n32802 49348\n30599 45991\n19293 29019\n98815 100000\n16660 25051\n99002 100000\n12194 18376\n34443 51786\n58870 88373\n2967 4476\n68935 100000\n24023 36136\n68223 100000\n42565 63931\n95842 100000\n92666 100000\n90374 100000\n15764 23688\n15403 23159\n27245 40943\n34737 52225\n22470 33801\n46201 69368\n3776 5666\n90647 100000\n66152 99244\n53203 79849\n10664 16057\n44388 66638\n26549 39890\n39787 59778\n50143 75282\n21982 33067\n24829 37336\n78463 100000\n95317 100000\n47839 71817\n57275 85959\n9338 14072\n91438 100000\n54930 82441\n68330 100000\n29877 44896\n90973 100000\n92246 100000\n71567 100000\n24551 36924\n7160 10790\n7253 10927\n40265 60486\n6780 10200\n43750 65706\n55666 83551\n54384 81630\n78397 100000\n13331 20075\n11935 17998\n5129 7697\n4261 6392\n7948 11977\n91598 100000\n71103 100000\n36178 54393\n35322 53102\n71117 100000\n21505 32339\n43611 65498\n23350 35116\n6404 9628\n1481 2233\n1601 2418\n72959 100000\n78785 100000\n27952 42008\n10417 15700\n80425 100000\n74778 100000\n88740 100000\n9502 14317\n64414 96639\n12005 18101\n99561 100000\n26587 39944\n23885 35942\n66613 99932\n18882 28415\n78096 100000\n99907 100000\n27369 41130\n99115 100000\n93988 100000\n23041 34646\n39620 59540\n17383 26147\n73676 100000\n63248 94932\n21823 32828\n87182 100000\n26909 40436\n35403 53217\n93969 100000\n37916 57008\n70871 100000\n80810 100000\n44025 66111\n97869 100000\n42390 63667\n3774 5663\n95058 100000\n51659 77540\n21891 32933\n41194 61870\n89639 100000\n80986 100000\n15319 23038\n62585 93941\n37577 56505\n4246 6369\n14386 21666\n48187 72366\n32473 48844\n18597 27977\n83435 100000\n84275 100000\n97206 100000\n11767 17746\n39223 58949\n27475 41296\n26055 39152\n85137 100000\n61132 91768\n37234 55993\n33746 50746\n2722 4114\n89306 100000\n56347 84565\n71043 100000\n89354 100000\n54120 81233\n9864 14847\n38762 58279\n19548 29399\n18840 28352\n3761 5641\n15069 22687\n48758 73231\n37364 56184\n71464 100000\n59533 89372\n21319 32076\n24757 37232\n98438 100000\n19436 29232\n59146 88785\n96924 100000\n40003 60099\n83358 100000\n24737 37205\n44088 66208\n17826 26821\n29334 44085\n78012 100000\n85078 100000\n11632 17535\n5842 8768\n49432 74229\n71479 100000\n74427 100000\n32074 48232\n27338 41083\n749 1137\n86234 100000\n30767 46246\n51011 76573\n85575 100000\n78890 100000\n63417 95177\n16681 25084\n99630 100000\n92710 100000\n77168 100000\n65324 97992\n47121 70736\n16351 24584\n40975 61547\n67298 100000\n53341 80056\n32797 49341\n20834 31353\n28210 42378\n90919 100000\n3770 5656\n95697 100000\n68406 100000\n16393 24647\n92736 100000\n89351 100000\n55959 83994\n36104 54278\n24681 37119\n27857 41864\n15665 23544\n89363 100000\n2955 4459\n68562 100000\n20260 30482\n28600 42979\n61975 93019\n19775 29737\n64737 97127\n88551 100000\n99751 100000\n55675 83565\n65996 98997\n39752 59732\n33666 50626\n1885 2854\n21027 31635\n674 1026\n99547 100000\n25746 38703\n73523 100000\n44673 67057\n42406 63690\n93883 100000\n51012 76574\n29114 43752\n34675 52130\n482 727\n84229 100000\n59586 89448\n87358 100000\n2507 3788\n63536 95350\n76971 100000\n1642 2485\n97292 100000\n40873 61396\n57031 85593\n17657 26561\n27436 41239\n88335 100000\n20755 31233\n23155 34822\n86487 100000\n6522 9806\n55267 82950\n83849 100000\n90640 100000\n82290 100000\n42349 63607\n82305 100000\n72900 100000\n81962 100000\n54613 81968\n42939 64489\n35221 52946\n84631 100000\n94803 100000\n7563 11399\n11426 17211\n67777 100000\n85817 100000\n44086 66205\n8134 12255\n16170 24313\n2380 3599\n14489 21820\n56015 84080\n13360 20121\n54961 82488\n81736 100000\n98985 100000\n89277 100000\n88098 100000\n35277 53031\n41224 61915\n33084 49770\n440 662\n56535 84837\n9872 14857\n57227 85893\n95634 100000\n2328 3516\n91243 100000\n48891 73421\n52057 78147\n54508 81812\n31457 47306\n51669 77556\n29762 44729\n15133 22775\n9781 14730\n11582 17457\n18896 28434\n62535 93859\n29234 43938\n87238 100000\n59343 89095\n29604 44491\n14254 21460\n66898 100000\n13461 20269\n68638 100000\n17795 26773\n21402 32192\n79213 100000\n88738 100000\n16185 24337\n42918 64458\n9880 14872\n23177 34854\n58418 87686\n92087 100000\n72964 100000\n51531 77349\n48548 72923\n14422 21721\n90193 100000\n68369 100000\n94391 100000\n85833 100000\n59328 89069\n19432 29226\n38669 58137\n66825 100000\n18636 28033\n65701 98550\n85755 100000\n55120 82730\n3299 4968\n97757 100000\n26972 40525\n72027 100000\n5410 8130\n50472 75775\n34453 51801\n78962 100000\n87528 100000\n86840 100000\n16701 25113\n49176 73850\n15121 22760\n6731 10124\n55241 82908\n47831 71806\n15905 23907\n92140 100000\n63912 95901\n37524 56428\n40224 60428\n28170 42324\n64226 96361\n32341 48650\n35059 52707\n89162 100000\n28204 42370\n74498 100000\n58231 87396\n987 1494\n548 833\n53225 79883\n31775 47784\n74753 100000\n17097 25707\n66073 99120\n29701 44637\n97898 100000\n90262 100000\n16733 25158\n61869 92865\n55850 83829\n26086 39204\n45432 68213\n5541 8319\n55462 83247\n67513 100000\n49927 74972\n4829 7249\n9744 14674\n30965 46550\n64653 97002\n55652 83527\n94943 100000\n17288 25998\n53052 79628\n25754 38714\n40959 61525\n64520 96800\n1284 1936\n41593 62474\n37259 56029\n88521 100000\n6102 9160\n36306 54598\n45659 68547\n44508 66806\n53345 80062\n13231 19921\n9947 14973\n15586 23429\n79784 100000\n71253 100000\n9466 14263\n73552 100000\n26847 40346\n99343 100000\n93255 100000\n5841 8767\n40911 61451\n11727 17686\n94268 100000\n93384 100000\n51758 77688\n1292 1950\n72374 100000\n84355 100000\n9376 14132\n37552 56468\n4765 7149\n98072 100000\n53950 80973\n20946 31522\n54137 81258\n24147 36321\n25100 37744\n61436 92219\n64467 96718\n95958 100000\n88180 100000\n8409 12677\n76513 100000\n70668 100000\n28790 43263\n74193 100000\n37713 56707\n25694 38623\n13696 20613\n23709 35669\n85723 100000\n54249 81430\n13270 19981\n82271 100000\n71433 100000\n70401 100000\n56146 84268\n8690 13092\n47153 70784\n14169 21328\n49869 74885\n57598 86446\n59048 88640\n7386 11126\n63153 94791\n9069 13658\n98201 100000\n46270 69476\n36850 55409\n50224 75409\n40424 60720\n5749 8624\n72522 100000\n32476 48847\n42168 63327\n87096 100000\n99641 100000\n27216 40899\n52396 78664\n43801 65779\n82471 100000\n55916 83927\n85430 100000\n96818 100000\n77881 100000\n23984 36081\n8067 12155\n9751 14684\n1475 2223\n46669 70066\n3856 5790\n20528 30893\n22267 33496\n19920 29956\n13951 21011\n27922 41959\n54527 81841\n15846 23814\n37421 56269\n19420 29210\n84218 100000\n14965 22527\n87793 100000\n33630 50570\n61652 92542\n31103 46760\n1650 2498\n73425 100000\n48879 73405\n69082 100000\n7497 11299\n6872 10338\n69204 100000\n90596 100000\n8473 12773\n72415 100000\n94552 100000\n50743 76172\n91446 100000\n71858 100000\n89298 100000\n9334 14066\n18863 28386\n92926 100000\n65409 98111\n78669 100000\n26345 39592\n37722 56723\n61807 92771\n41149 61800\n52605 78970\n44620 66978\n46072 69171\n83204 100000\n11706 17652\n89469 100000\n22255 33479\n12837 19336\n560 849\n99513 100000\n99011 100000\n11351 17091\n95432 100000\n55520 83332\n11957 18034\n11663 17584\n93372 100000\n22291 33537\n97808 100000\n13602 20473\n21839 32852\n20684 31125\n91291 100000\n81451 100000\n76048 100000\n56759 85179\n40276 60502\n46900 70424\n91140 100000\n68364 100000\n53560 80382\n58890 88404\n77737 100000\n49604 74494\n91320 100000\n71432 100000\n11932 17994\n92768 100000\n76987 100000\n8718 13129\n95676 100000\n37496 56383\n32932 49541\n14434 21738\n5553 8335\n9079 13671\n34323 51609\n12240 18440\n54880 82366\n63858 95825\n96113 100000\n41328 62071\n77110 100000\n51985 78039\n64353 96548\n13689 20602\n93679 100000\n37048 55710\n16777 25225\n86556 100000\n22766 34239\n50668 76062\n20185 30365\n45654 68538\n38805 58342\n89408 100000\n22238 33451\n88999 100000\n65808 98712\n49006 73591\n5987 8985\n65271 97913\n12191 18372\n17762 26723\n63064 94662\n2797 4222\n31154 46841\n30128 45268\n39204 58922\n94327 100000\n33099 49789\n96093 100000\n87648 100000\n64474 96728\n41273 61987\n19757 29709\n34075 51245\n97281 100000\n59595 89459\n45195 67845\n16174 24320\n28825 43321\n39113 58801\n17883 26911\n17160 25801\n52052 78140\n4802 7206\n539 819\n50426 75705\n62944 94477\n70968 100000\n26777 40237\n20791 31286\n49900 74929\n90305 100000\n83581 100000\n33286 50063\n29435 44238\n95999 100000\n39477 59332\n91811 100000\n14215 21403\n43482 65301\n9190 13839\n68169 100000\n78833 100000\n32002 48125\n15829 23788\n44546 66868\n22692 34125\n95556 100000\n1059 1600\n84931 100000\n8976 13521\n72947 100000\n29146 43799\n61229 91915\n77045 100000\n24913 37462\n8836 13310\n73854 100000\n71791 100000\n15198 22864\n52669 79066\n88590 100000\n5852 8781\n22858 34377\n94513 100000\n72334 100000\n92752 100000\n58209 87363\n23821 35840\n45917 68938\n17349 26097\n55947 83975\n35037 52671\n39329 59116\n34708 52182\n62633 94010\n41227 61920\n62645 94029\n46758 70197\n41895 62932\n36634 55087\n41335 62081\n12670 19083\n69579 100000\n95805 100000\n48303 72548\n30634 46044\n11936 18000\n76682 100000\n12467 18785\n35042 52679\n1141 1726\n69453 100000\n84949 100000\n39967 60042\n31891 47957\n29223 43922\n71062 100000\n82486 100000\n15021 22612\n72750 100000\n53968 81001\n45735 68663\n63179 94830\n83040 100000\n55756 83689\n909 1379\n32273 48549\n79470 100000\n98093 100000\n9123 13736\n23773 35767\n7735 11662\n99318 100000\n41660 62579\n48077 72199\n67784 100000\n85165 100000\n92456 100000\n79117 100000\n64603 96927\n23658 35587\n60027 90108\n39414 59238\n3008 4539\n9147 13773\n77181 100000\n74158 100000\n53335 80048\n98962 100000\n76913 100000\n91449 100000\n46107 69222\n69458 100000\n36000 54116\n74234 100000\n68872 100000\n39427 59258\n74398 100000\n62197 93350\n34627 52052\n24884 37418\n92880 100000\n33876 50941\n8784 13230\n23633 35547\n94949 100000\n8801 13255\n59852 89845\n16578 24924\n30095 45218\n15931 23940\n78440 100000\n98198 100000\n9558 14397\n34710 52185\n63410 95165\n2484 3756\n73329 100000\n39848 59867\n9440 14226\n77311 100000\n1367 2061\n88206 100000\n36059 54211\n60132 90264\n31208 46925\n6192 9292\n72590 100000\n91281 100000\n79825 100000\n252 375\n10909 16426\n94696 100000\n45703 68612\n82353 100000\n43069 64675\n74485 100000\n42482 63807\n50312 75537\n62398 93659\n1336 2015\n65891 98836\n10982 16534\n73100 100000\n14836 22340\n24843 37360\n97126 100000\n59799 89770\n7170 10804\n80457 100000\n918 1393\n63713 95612\n74217 100000\n97434 100000\n69329 100000\n33348 50152\n43890 65913\n94922 100000\n82325 100000\n68225 100000\n45761 68701\n41933 62989\n37777 56802\n74600 100000\n32222 48468\n28689 43112\n45373 68126\n74659 100000\n32301 48588\n1179 1780\n90603 100000\n90303 100000\n8822 13290\n48871 73394\n44052 66154\n46000 69068\n21842 32856\n53944 80965\n21784 32767\n16594 24949\n79975 100000\n58457 87745\n78866 100000\n68661 100000\n24864 37391\n76783 100000\n87156 100000\n11669 17593\n95311 100000\n57857 86834\n74220 100000\n68014 100000\n38297 57579\n11740 17708\n8755 13185\n47474 71269\n66186 99289\n39052 58713\n21470 32294\n57433 86192\n73512 100000\n72998 100000\n28455 42754\n98047 100000\n28241 42429\n43824 65814\n51769 77705\n6826 10272\n67607 100000\n93736 100000\n22488 33824\n26948 40490\n62018 93088\n55323 83037\n48061 72173\n95548 100000\n23621 35527\n28611 42999\n1416 2133\n47882 71885\n93520 100000\n27891 41911\n95884 100000\n61328 92056\n53854 80830\n60262 90457\n3709 5564\n92636 100000\n84626 100000\n27612 41497\n2633 3980\n29483 44306\n87874 100000\n38725 58221\n18220 27419\n64808 97235\n27191 40861\n12805 19287\n82498 100000\n2627 3970\n58164 87301\n55897 83898\n4637 6959\n29363 44126\n92725 100000\n53357 80077\n5804 8710\n24958 37525\n96532 100000\n22812 34306\n15066 22683\n78378 100000\n92702 100000\n10672 16069\n15990 24033\n66149 99240\n73948 100000\n3643 5463\n3187 4809\n92986 100000\n31189 46892\n84103 100000\n55453 83231\n48812 73304\n79206 100000\n37656 56623\n5925 8896\n18810 28304\n36323 54626\n31051 46681\n35206 52922\n11285 16993\n36518 54918\n80088 100000\n47295 70997\n45793 68749\n28444 42740\n43828 65821\n63577 95418\n19547 29398\n3237 4880\n86913 100000\n34458 51807\n30665 46089\n85120 100000\n85589 100000\n66197 99308\n21377 32155\n89797 100000\n62996 94559\n51959 77995\n66636 99970\n75252 100000\n73578 100000\n13057 19665\n72386 100000\n25186 37871\n98661 100000\n48039 72137\n75644 100000\n24832 37342\n29092 43719\n78584 100000\n78301 100000\n93037 100000\n45296 68006\n52139 78270\n18435 27741\n78202 100000\n65863 98795\n31402 47220\n54899 82396\n91559 100000\n28935 43481\n63909 95897\n85925 100000\n42452 63760\n17617 26502\n1698 2569\n16784 25234\n1752 2657\n55725 83643\n59290 89011\n62167 93310\n27703 41635\n67928 100000\n38814 58356\n41964 63033\n73840 100000\n98611 100000\n91621 100000\n2139 3224\n40278 60505\n27827 41823\n9711 14625\n86589 100000\n13758 20710\n43027 64618\n76088 100000\n47738 71670\n19660 29561\n17172 25818\n79396 100000\n79899 100000\n66435 99668\n41521 62371\n85530 100000\n28807 43291\n12676 19090\n53646 80508\n73938 100000\n62850 94342\n96594 100000\n49458 74267\n78506 100000\n93706 100000\n74502 100000\n38487 57871\n26177 39339\n67143 100000\n67510 100000\n52164 78307\n5041 7568\n99780 100000\n24503 36849\n39704 59667\n6075 9118\n71229 100000\n8459 12751\n48722 73185\n95391 100000\n39055 58717\n11964 18044\n4471 6708\n19806 29788\n31042 46669\n55300 83004\n52259 78452\n16109 24219\n42932 64479\n98325 100000\n72883 100000\n21656 32574\n24169 36354\n89779 100000\n67309 100000\n44664 67044\n25075 37707\n34275 51540\n40427 60724\n6202 9309\n98087 100000\n75211 100000\n94479 100000\n98195 100000\n92251 100000\n38589 58021\n40089 60229\n89600 100000\n49787 74763\n35703 53669\n20026 30128\n4414 6625\n53188 79827\n77102 100000\n11864 17890\n80627 100000\n19359 29117\n20539 30908\n48175 72348\n61170 91822\n35063 52712\n46816 70290\n11710 17658\n77458 100000\n54633 81997\n50384 75641\n78196 100000\n28491 42808\n66652 99992\n43896 65921\n30260 45470\n71786 100000\n48966 73531\n41068 61681\n22619 34023\n14577 21949\n41483 62314\n5742 8615\n1677 2536\n31871 47929\n95901 100000\n97498 100000\n9276 13976\n92337 100000\n87747 100000\n27130 40771\n4646 6972\n34180 51404\n51212 76871\n61560 92405\n23248 34956\n84536 100000\n76901 100000\n79202 100000\n70747 100000\n32623 49079\n36217 54460\n39324 59108\n25318 38064\n25086 37723\n55612 83470\n57098 85699\n62655 94044\n57225 85891\n62696 94108\n51815 77773\n92386 100000\n3393 5108\n80831 100000\n8693 13097\n58642 88022\n17059 25653\n20148 30310\n99717 100000\n14179 21344\n50780 76227\n97848 100000\n73724 100000\n47419 71186\n94118 100000\n71549 100000\n21138 31797\n76637 100000\n66726 100000\n24934 37492\n8228 12402\n44881 67367\n35317 53095\n3004 4532\n38703 58188\n79855 100000\n8218 12387\n16422 24689\n81347 100000\n97953 100000\n2520 3806\n27274 40988\n49695 74620\n12352 18615\n32792 49334\n21424 32226\n82105 100000\n18369 27641\n43161 64811\n66071 99116\n98655 100000\n8192 12343\n75853 100000\n69795 100000\n82115 100000\n56528 84828\n78581 100000\n65383 98073\n95221 100000\n86903 100000\n13986 21060\n87455 100000\n37198 55936\n12576 18942\n72468 100000\n53434 80198\n81891 100000\n2337 3533\n85932 100000\n34999 52618\n10418 15702\n18960 28531\n75192 100000\n57344 86063\n3152 4754\n47125 70742\n88370 100000\n96297 100000\n16872 25363\n5741 8613\n60227 90398\n25624 38517\n28873 43390\n87597 100000\n16250 24436\n16328 24551\n60726 91150\n63617 95474\n13571 20427\n37962 57072\n55929 83946\n66890 100000\n86829 100000\n73507 100000\n99078 100000\n37225 55979\n96666 100000\n63018 94591\n32753 49268\n9717 14634\n43262 64967\n49524 74371\n10712 16131\n26408 39685\n85417 100000\n85225 100000\n37538 56447\n86222 100000\n26538 39873\n83396 100000\n77848 100000\n67855 100000\n11918 17971\n22887 34423\n36448 54815\n47837 71814\n18098 27239\n53622 80475\n92749 100000\n67486 100000\n49401 74184\n19263 28974\n49871 74889\n25941 38991\n79704 100000\n21978 33061\n20632 31044\n38927 58526\n64388 96600\n87501 100000\n31283 47037\n83537 100000\n2774 4189\n24047 36171\n23963 36051\n75063 100000\n40136 60297\n7230 10892\n38163 57374\n67073 100000\n10948 16489\n54469 81752\n97389 100000\n61346 92083\n43923 65960\n55111 82715\n49945 75000\n34626 52050\n4778 7170\n4668 7006\n27959 42019\n58378 87628\n79907 100000\n14802 22291\n62672 94070\n36172 54384\n39326 59112\n37863 56934\n17405 26181\n55504 83309\n19801 29781\n96683 100000\n18300 27538\n8314 12531\n57720 86634\n2098 3161\n75266 100000\n20044 30154\n17529 26367\n13043 19644\n9178 13820\n87117 100000\n94720 100000\n62215 93381\n3948 5926\n48060 72171\n59504 89330\n79649 100000\n71373 100000\n72570 100000\n15379 23122\n80133 100000\n93246 100000\n4882 7326\n10409 15687\n67112 100000\n58264 87453\n49059 73671\n6200 9305\n43305 65034\n90994 100000\n93464 100000\n2190 3305\n38794 58328\n76524 100000\n28778 43244\n84777 100000\n59631 89514\n16456 24740\n26566 39914\n27962 42023\n44649 67020\n88075 100000\n68116 100000\n43554 65408\n57081 85670\n83621 100000\n44519 66823\n15924 23932\n68334 100000\n36361 54682\n52160 78302\n57976 87015\n62718 94137\n43594 65472\n56695 85070\n99408 100000\n66311 99480\n61056 91659\n99737 100000\n27696 41626\n69856 100000\n15661 23538\n27389 41164\n74816 100000\n85501 100000\n42358 63620\n29549 44407\n85742 100000\n52616 78985\n60019 90094\n79407 100000\n24 32\n13020 19613\n74211 100000\n44947 67476\n81816 100000\n11673 17599\n35118 52790\n13213 19896\n89686 100000\n79597 100000\n93755 100000\n88048 100000\n30833 46343\n16292 24498\n82587 100000\n959 1452\n43318 65057\n70044 100000\n84975 100000\n97889 100000\n96603 100000\n58648 88031\n94161 100000\n60612 90979\n83145 100000\n97756 100000\n499 754\n99588 100000\n63235 94910\n45738 68667\n97881 100000\n97253 100000\n24348 36615\n22250 33471\n47580 71424\n87795 100000\n24556 36931\n85291 100000\n75222 100000\n43408 65192\n8130 12251\n15817 23769\n79605 100000\n4196 6297\n14147 21291\n36948 55561\n9064 13653\n5409 8129\n53452 80221\n11962 18042\n34284 51552\n31883 47945\n69563 100000\n73479 100000\n6151 9236\n42737 64193\n85399 100000\n46640 70021\n8758 13190\n93093 100000\n46765 70209\n50067 75176\n7762 11707\n81919 100000\n10786 16244\n19528 29369\n47927 71961\n12341 18598\n69370 100000\n6506 9781\n5239 7871\n8954 13488\n47238 70914\n78046 100000\n53876 80865\n72892 100000\n21669 32594\n73003 100000\n69526 100000\n8362 12605\n60662 91061\n34909 52490\n39789 59780\n7904 11906\n49200 73886\n27138 40782\n17977 27051\n54966 82494\n85543 100000\n43969 66031\n33433 50278\n9257 13946\n24379 36659\n92364 100000\n4917 7380\n32978 49612\n18571 27938\n41343 62093\n69800 100000\n71591 100000\n47529 71349\n56005 84063\n44513 66814\n57815 86770\n78818 100000\n93494 100000\n16012 24070\n70184 100000\n28526 42865\n40545 60898\n26736 40172\n24121 36279\n57347 86067\n6976 10501\n10506 15828\n28489 42805\n99384 100000\n68030 100000\n67174 100000\n57479 86262\n5326 8009\n90959 100000\n90278 100000\n95677 100000\n84517 100000\n55479 83269\n17422 26204\n48298 72541\n77580 100000\n93892 100000\n57009 85557\n80089 100000\n85025 100000\n13669 20574\n41829 62828\n96664 100000\n88901 100000\n49121 73766\n20062 30181\n72829 100000\n99338 100000\n45490 68301\n78048 100000\n58061 87145\n63379 95117\n53618 80468\n10849 16334\n20329 30588\n16904 25415\n66645 99982\n14951 22506\n28828 43325\n15606 23460\n10533 15866\n6005 9012\n43715 65648\n30371 45634\n437 657\n97681 100000\n62224 93397\n53573 80402\n40614 61014\n94860 100000\n36597 55034\n34261 51521\n239 355\n78353 100000\n90053 100000\n48030 72121\n9584 14434\n3049 4600\n64722 97106\n9559 14398\n34206 51440\n17045 25633\n11330 17061\n41441 62244\n21198 31891\n75184 100000\n81947 100000\n23906 35976\n79882 100000\n93739 100000\n12638 19032\n96962 100000\n72966 100000\n50093 75212\n49897 74926\n21797 32788\n34349 51649\n2903 4384\n36348 54664\n7194 10841\n2605 3933\n75870 100000\n87659 100000\n12960 19522\n47718 71640\n26520 39847\n92991 100000\n70113 100000\n8738 13157\n80690 100000\n66231 99362\n69567 100000\n6402 9625\n66229 99360\n76932 100000\n55248 82921\n89169 100000\n14987 22561\n64375 96580\n28484 42797\n93841 100000\n32330 48633\n95874 100000\n93626 100000\n39181 58890\n45285 67990\n14382 21661\n59310 89041\n77937 100000\n70885 100000\n92086 100000\n17118 25737\n57415 86166\n31719 47701\n25544 38395\n23181 34860\n16663 25055\n51967 78010\n75610 100000\n25399 38185\n31321 47095\n89660 100000\n92821 100000\n20374 30657\n70728 100000\n12259 18470\n69185 100000\n90980 100000\n94464 100000\n56212 84373\n80821 100000\n57872 86856\n23671 35607\n19644 29536\n24641 37060\n53650 80515\n78574 100000\n41284 62006\n42549 63907\n58186 87331\n77523 100000\n15919 23925\n39987 60075\n72013 100000\n83740 100000\n60060 90155\n45446 68235\n18493 27828\n4208 6317\n55692 83594\n75826 100000\n37671 56645\n76107 100000\n86732 100000\n47330 71055\n98872 100000\n57187 85830\n76475 100000\n44378 66625\n75558 100000\n53125 79732\n68855 100000\n61027 91615\n66270 99422\n45244 67926\n69121 100000\n92031 100000\n57497 86290\n37327 56133\n65634 98450\n72287 100000\n76505 100000\n88606 100000\n87225 100000\n91740 100000\n28341 42582\n43910 65941\n58908 88430\n18874 28403\n34663 52111\n91871 100000\n90104 100000\n80898 100000\n52754 79187\n3786 5682\n37071 55747\n99096 100000\n38918 58510\n70270 100000\n41609 62501\n79034 100000\n46917 70446\n86140 100000\n59326 89067\n64158 96262\n75937 100000\n15934 23943\n46290 69508\n47733 71662\n79950 100000\n10096 15203\n70901 100000\n75164 100000\n53179 79814\n77509 100000\n90707 100000\n45438 68221\n24974 37552\n93931 100000\n58227 87389\n32102 48272\n56747 85157\n13698 20615\n4378 6568\n59114 88738\n35413 53232\n72694 100000\n6193 9294\n80614 100000\n8927 13447\n74819 100000\n80273 100000\n10834 16312\n99650 100000\n17006 25568\n50229 75416\n21080 31712\n2250 3399\n72283 100000\n98986 100000\n47210 70868\n90754 100000\n8424 12700\n86507 100000\n79827 100000\n75867 100000\n60377 90627\n89913 100000\n74850 100000\n59652 89547\n25897 38928\n64110 96192\n24786 37275\n8243 12427\n81155 100000\n72876 100000\n90738 100000\n30654 46070\n57576 86411\n26646 40030\n54953 82475\n4661 6996\n42151 63302\n9791 14745\n12437 18743\n74982 100000\n28759 43213\n58982 88540\n52495 78809\n19120 28765\n83261 100000\n82068 100000\n95922 100000\n29774 44746\n88410 100000\n4032 6060\n75365 100000\n93521 100000\n73409 100000\n40571 60944\n83647 100000\n16375 24620\n97702 100000\n76788 100000\n47848 71830\n9207 13864\n84074 100000\n42476 63797\n29619 44512\n61365 92110\n13860 20874\n13778 20739\n30243 45442\n50097 75216\n64769 97173\n30347 45597\n73023 100000\n18126 27280\n56846 85315\n90326 100000\n41325 62066\n5370 8070\n36713 55207\n80448 100000\n93598 100000\n89783 100000\n91628 100000\n37069 55743\n59734 89675\n67802 100000\n51650 77525\n4481 6724\n98854 100000\n28083 42192\n14182 21348\n8760 13193\n9215 13877\n17142 25775\n7975 12015\n36650 55115\n78997 100000\n70809 100000\n82813 100000\n62234 93413\n7037 10601\n47820 71790\n82378 100000\n88071 100000\n27295 41020\n7147 10770\n54001 81051\n54857 82332\n74808 100000\n46297 69518\n85758 100000\n88800 100000\n18569 27935\n72344 100000\n31155 46842\n29440 44244\n30011 45093\n64713 97091\n70881 100000\n73091 100000\n30369 45632\n5051 7582\n36836 55386\n28306 42526\n69719 100000\n73950 100000\n10749 16191\n39485 59341\n26431 39723\n6665 10022\n12140 18303\n23349 35115\n18281 27511\n17571 26430\n54277 81476\n32691 49178\n26530 39860\n41692 62625\n88849 100000\n88115 100000\n44271 66468\n63378 95116\n49411 74200\n11812 17814\n52295 78508\n70033 100000\n38072 57229\n48405 72702\n39679 59629\n83622 100000\n58012 87073\n13682 20593\n10695 16106\n1566 2366\n7569 11408\n10459 15761\n96906 100000\n24079 36214\n74976 100000\n5191 7799\n9549 14384\n96268 100000\n8924 13441\n88172 100000\n92242 100000\n8453 12743\n14940 22488\n64166 96274\n74939 100000\n12130 18289\n52353 78594\n61453 92243\n13269 19979\n39886 59921\n3973 5969\n97505 100000\n16089 24187\n94153 100000\n8007 12066\n54856 82331\n44803 67251\n67391 100000\n18454 27771\n53258 79929\n88458 100000\n72465 100000\n35115 52786\n6701 10075\n51478 77274\n35378 53182\n78253 100000\n34242 51495\n52257 78448\n19774 29735\n37135 55845\n20251 30468\n72151 100000\n90601 100000\n53544 80362\n21525 32368\n25899 38931\n45302 68015\n48704 73156\n86268 100000\n4064 6107\n67279 100000\n32426 48772\n78178 100000\n23284 35009\n16822 25288\n40328 60578\n99412 100000\n98069 100000\n33416 50255\n63149 94785\n58783 88243\n21259 31983\n55258 82937\n44758 67184\n65745 98615\n51302 77011\n75108 100000\n36426 54780\n22444 33757\n99498 100000\n89004 100000\n74062 100000\n80976 100000\n9956 14986\n51497 77299\n64940 97422\n93005 100000\n27951 42007\n30788 46274\n49841 74837\n68828 100000\n78403 100000\n50733 76159\n65200 97808\n28053 42150\n50637 76013\n65806 98710\n72142 100000\n40325 60574\n85526 100000\n53365 80090\n89623 100000\n94576 100000\n22597 33987\n95890 100000\n23267 34984\n85021 100000\n96096 100000\n19060 28681\n89942 100000\n34056 51216\n59842 89831\n63979 95998\n77097 100000\n49438 74237\n36433 54791\n98656 100000\n49325 74073\n61350 92088\n85408 100000\n78372 100000\n80240 100000\n11262 16961\n44046 66145\n57473 86252\n12925 19469\n87419 100000\n44582 66920\n28888 43408\n23211 34903\n43241 64933\n76247 100000\n93177 100000\n63540 95357\n59377 89147\n79352 100000\n94195 100000\n26248 39444\n25587 38460\n10334 15573\n89267 100000\n26363 39621\n40445 60752\n1102 1669\n36303 54593\n2660 4018\n88747 100000\n41171 61835\n54091 81183\n63920 95911\n44985 67537\n7773 11722\n30809 46303\n94111 100000\n15385 23132\n91998 100000\n3604 5406\n23880 35935\n3267 4924\n15704 23599\n36872 55445\n69966 100000\n79890 100000\n12044 18159\n82140 100000\n65023 97538\n94880 100000\n24122 36281\n91142 100000\n87136 100000\n57317 86020\n20980 31571\n20268 30494\n26385 39653\n777 1178\n55679 83572\n66650 99989\n96559 100000\n20495 30842\n49826 74816\n80591 100000\n23270 34989\n97425 100000\n80334 100000\n28533 42875\n21318 32074\n34262 51522\n57903 86905\n31258 47002\n3673 5509\n44194 66361\n50831 76299\n53100 79697\n23187 34868\n71294 100000\n51411 77177\n83184 100000\n8545 12881\n92706 100000\n77650 100000\n64087 96160\n97862 100000\n91955 100000\n22820 34320\n61122 91754\n33164 49889\n79598 100000\n61161 91810\n50825 76290\n61265 91967\n54094 81188\n54097 81193\n29950 45007\n18475 27800\n64198 96322\n16900 25410\n65924 98885\n2108 3178\n77170 100000\n92170 100000\n29991 45065\n94655 100000\n76424 100000\n25537 38385\n57419 86172\n822 1248\n35065 52715\n72521 100000\n54583 81923\n64267 96424\n1170 1769\n5537 8311\n91623 100000\n17835 26833\n68940 100000\n24536 36899\n56463 84731\n72825 100000\n76838 100000\n77386 100000\n2896 4375\n79346 100000\n49579 74455\n53054 79631\n91773 100000\n72395 100000\n7304 11007\n9859 14838\n22960 34526\n72609 100000\n52556 78900\n70797 100000\n13677 20586\n98934 100000\n17303 26023\n30987 46584\n44241 66425\n5657 8488\n77817 100000\n90464 100000\n1661 2513\n76945 100000\n18290 27523\n9522 14345\n49463 74275\n7446 11218\n24059 36188\n58244 87420\n95891 100000\n93348 100000\n40041 60153\n19718 29653\n50544 75877\n8864 13347\n87383 100000\n95140 100000\n3215 4852\n98809 100000\n29702 44639\n58814 88291\n33386 50205\n76130 100000\n30186 45360\n74430 100000\n96907 100000\n67379 100000\n5979 8975\n69982 100000\n62691 94100\n74089 100000\n44723 67128\n39358 59158\n46460 69763\n46726 70147\n76836 100000\n41675 62599\n19102 28741\n94997 100000\n98630 100000\n70640 100000\n63968 95983\n43264 64970\n84935 100000\n54809 82263\n41248 61953\n16677 25078\n13539 20380\n78534 100000\n29014 43602\n5800 8702\n48185 72363\n55438 83206\n70487 100000\n22048 33164\n55136 82757\n59203 88871\n13131 19773\n26089 39208\n51745 77669\n80222 100000\n29453 44262\n63787 95720\n14875 22395\n26477 39786\n82448 100000\n31290 47048\n36622 55069\n93461 100000\n54346 81577\n54574 81910\n19957 30018\n49115 73759\n97993 100000\n11624 17524\n25009 37604\n84432 100000\n11214 16886\n35161 52853\n75376 100000\n79760 100000\n59006 88577\n88156 100000\n29153 43810\n4231 6346\n14194 21368\n86585 100000\n40590 60973\n87212 100000\n36870 55442\n904 1372\n50921 76434\n52554 78896\n81980 100000\n68662 100000\n65237 97861\n8555 12896\n28587 42960\n22034 33143\n37256 56024\n90703 100000\n33392 50216\n14826 22329\n99314 100000\n17862 26877\n30229 45420\n17705 26633\n92004 100000\n83195 100000\n35083 52740\n89154 100000\n41023 61617\n85859 100000\n63050 94638\n24118 36275\n35581 53485\n14126 21258\n82862 100000\n79467 100000\n49707 74637\n58251 87432\n52785 79232\n36286 54569\n23915 35989\n17741 26689\n97858 100000\n79252 100000\n67842 100000\n84177 100000\n47303 71008\n91953 100000\n2956 4461\n13471 20283\n92484 100000\n93960 100000\n932 1414\n41200 61879\n38712 58200\n99072 100000\n79179 100000\n78014 100000\n71033 100000\n108 159\n13310 20044\n58920 88446\n12947 19505\n11048 16634\n62007 93068\n64013 96046\n6145 9226\n5204 7819\n72794 100000\n66831 100000\n60576 90922\n6239 9360\n13198 19876\n66280 99435\n64156 96259\n84400 100000\n45967 69014\n61219 91898\n84509 100000\n54676 82062\n38193 57417\n11268 16970\n20836 31356\n25094 37736\n46273 69482\n14730 22179\n41590 62470\n74644 100000\n35829 53858\n67373 100000\n6787 10211\n20599 30998\n82762 100000\n42899 64430\n85632 100000\n92022 100000\n5356 8049\n66416 99641\n15105 22738\n84586 100000\n23216 34911\n36611 55056\n29107 43741\n44988 67543\n77566 100000\n10761 16206\n13793 20763\n16856 25340\n18927 28478\n70619 100000\n49204 73891\n75972 100000\n59378 89148\n13130 19772\n16282 24483\n1368 2062\n24991 37577\n8149 12279\n52222 78397\n15802 23746\n50527 75853\n4222 6333\n40570 60942\n49609 74501\n43030 64622\n51584 77428\n43015 64601\n48416 72718\n50904 76407\n80179 100000\n14957 22514\n88638 100000\n33582 50500\n99726 100000\n99742 100000\n40290 60524\n93701 100000\n25574 38440\n78365 100000\n16679 25080\n30345 45593\n39519 59392\n43999 66074\n84265 100000\n70780 100000\n73980 100000\n66182 99285\n1974 2982\n52402 78674\n944 1430\n2689 4062\n25274 38002\n35217 52939\n72832 100000\n63137 94769\n74290 100000\n76024 100000\n40824 61324\n5333 8020\n23760 35746\n76970 100000\n3970 5963\n91934 100000\n6527 9814\n38880 58455\n56625 84967\n71187 100000\n22993 34576\n73355 100000\n72326 100000\n48997 73577\n19986 30065\n82056 100000\n87606 100000\n20778 31263\n31009 46615\n96026 100000\n89321 100000\n4281 6425\n28454 42752\n1744 2644\n15943 23958\n5745 8620\n91734 100000\n97723 100000\n94953 100000\n74348 100000\n34211 51450\n89618 100000\n99849 100000\n10143 15276\n14094 21209\n85727 100000\n24386 36670\n69771 100000\n66590 99898\n4672 7011\n35351 53146\n78974 100000\n98002 100000\n16654 25041\n13292 20018\n34209 51446\n11141 16778\n857 1302\n18628 28023\n73 109\n24557 36933\n34473 51828\n84472 100000\n93164 100000\n26126 39263\n39045 58703\n93247 100000\n52799 79253\n4980 7472\n72985 100000\n99428 100000\n60586 90939\n26499 39819\n47572 71412\n35026 52656\n27910 41942\n7487 11285\n72741 100000\n79731 100000\n94012 100000\n71901 100000\n55491 83286\n89087 100000\n34203 51436\n46083 69188\n58508 87819\n62417 93685\n95134 100000\n5893 8848\n64293 96462\n63269 94961\n89286 100000\n45732 68658\n82282 100000\n55195 82845\n75510 100000\n73813 100000\n23650 35574\n97709 100000\n13356 20115\n82369 100000\n97125 100000\n46898 70421\n31819 47849\n47447 71228\n41885 62917\n10255 15447\n4039 6070\n70121 100000\n93682 100000\n89719 100000\n78225 100000\n76911 100000\n24550 36923\n5616 8433\n61830 92805\n36914 55511\n61827 92801\n12497 18825\n71163 100000\n1393 2100\n19848 29853\n46143 69278\n54873 82355\n57171 85807\n2549 3846\n15749 23662\n79988 100000\n81292 100000\n92165 100000\n5476 8223\n95438 100000\n13837 20836\n59046 88638\n65810 98714\n44588 66931\n93980 100000\n7200 10850\n40323 60571\n76789 100000\n80964 100000\n52343 78579\n44454 66733\n57778 86719\n17532 26372\n58620 87991\n55472 83260\n16799 25258\n43512 65343\n19080 28710\n96703 100000\n4941 7416\n40478 60801\n25923 38962\n95564 100000\n69242 100000\n38625 58076\n85628 100000\n63282 94978\n70623 100000\n99027 100000\n46449 69745\n32925 49531\n49894 74921\n5539 8315\n61092 91711\n99611 100000\n17734 26680\n25939 38988\n3012 4545\n21084 31719\n98754 100000\n27573 41438\n19682 29598\n78802 100000\n26682 40086\n95118 100000\n78099 100000\n2173 3280\n10609 15977\n73342 100000\n72731 100000\n85281 100000\n49964 75027\n49343 74099\n92000 100000\n89802 100000\n58137 87259\n55441 83212\n18086 27217\n11549 17402\n76697 100000\n66727 100000\n54628 81990\n21697 32640\n46942 70479\n56348 84566\n88481 100000\n20758 31236\n54262 81451\n14261 21470\n51716 77627\n59577 89434\n78682 100000\n1261 1898\n65001 97507\n96399 100000\n99122 100000\n88213 100000\n40852 61363\n96300 100000\n58354 87594\n63505 95302\n55218 82877\n60903 91428\n63647 95517\n45794 68751\n18363 27632\n87895 100000\n58759 88204\n59174 88830\n61020 91604\n84110 100000\n87630 100000\n47274 70963\n22838 34346\n3936 5908\n58945 88486\n27468 41285\n43861 65873\n7448 11221\n81157 100000\n87665 100000\n98706 100000\n93103 100000\n53709 80603\n21750 32718\n46987 70542\n40740 61200\n66315 99485\n16423 24690\n94241 100000\n63793 95728\n19808 29792\n8234 12412\n214 318\n43380 65149\n63632 95494\n41197 61874\n10743 16181\n26848 40347\n54207 81359\n17385 26150\n43515 65348\n39751 59731\n72495 100000\n91454 100000\n87211 100000\n7117 10725\n16229 24404\n11374 17126\n87131 100000\n85272 100000\n64173 96286\n14097 21213\n43932 65975\n20516 30875\n79627 100000\n48872 73396\n85889 100000\n77826 100000\n88861 100000\n58326 87552\n23879 35933\n19753 29705\n49929 74974\n23144 34804\n28167 42320\n80510 100000\n83588 100000\n16919 25440\n74835 100000\n3565 5347\n16350 24582\n89958 100000\n61014 91596\n22824 34326\n34785 52300\n39487 59343\n60035 90118\n9397 14162\n76816 100000\n81372 100000\n54358 81594\n43668 65584\n56358 84583\n73538 100000\n88737 100000\n8688 13090\n21128 31781\n8602 12963\n67245 100000\n68015 100000\n93897 100000\n30815 46312\n75454 100000\n77264 100000\n40615 61015\n55797 83754\n16396 24652\n71421 100000\n17258 25948\n47747 71682\n36549 54963\n18868 28394\n51686 77583\n88537 100000\n86338 100000\n78903 100000\n91942 100000\n99470 100000\n90101 100000\n10061 15151\n27646 41550\n89088 100000\n82707 100000\n84571 100000\n74194 100000\n69545 100000\n82473 100000\n22898 34437\n24005 36109\n94738 100000\n32357 48672\n15412 23174\n47178 70821\n68789 100000\n83771 100000\n56792 85229\n37712 56705\n72646 100000\n17733 26679\n93759 100000\n41029 61626\n21651 32568\n25630 38527\n12489 18813\n23070 34691\n82157 100000\n1635 2473\n65507 98266\n19205 28889\n54581 81919\n36810 55345\n4282 6426\n34067 51231\n1622 2452\n22817 34315\n75074 100000\n21037 31648\n77762 100000\n29354 44115\n97033 100000\n82874 100000\n59358 89116\n76765 100000\n18014 27107\n32543 48950\n53681 80560\n39457 59303\n78615 100000\n76446 100000\n82467 100000\n39628 59553\n75391 100000\n93383 100000\n21228 31935\n4210 6319\n14327 21579\n15002 22584\n94305 100000\n89953 100000\n98079 100000\n30176 45345\n7001 10542\n66329 99508\n87571 100000\n55310 83019\n83335 100000\n78079 100000\n96547 100000\n50393 75655\n98595 100000\n82912 100000\n8427 12704\n91585 100000\n82479 100000\n77654 100000\n50644 76022\n57913 86921\n18650 28058\n20065 30185\n58423 87693\n55710 83622\n61006 91584\n86189 100000\n36385 54723\n88560 100000\n67532 100000\n24112 36266\n82667 100000\n47719 71641\n47227 70897\n24558 36934\n74537 100000\n38125 57314\n17531 26370\n64826 97260\n57239 85909\n99401 100000\n84653 100000\n34516 51888\n5075 7618\n6099 9155\n48616 73020\n36785 55311\n26356 39609\n293 437\n1641 2483\n49803 74783\n52405 78678\n86893 100000\n44470 66754\n89307 100000\n21569 32436\n59747 89697\n96120 100000\n34772 52282\n66241 99376\n14043 21142\n95648 100000\n70122 100000\n50606 75972\n61312 92032\n23684 35630\n92536 100000\n1157 1751\n82921 100000\n92997 100000\n48491 72839\n63922 95915\n75613 100000\n90978 100000\n46077 69178\n64146 96245\n61089 91707\n64574 96883\n77012 100000\n36644 55106\n78152 100000\n47991 72061\n94083 100000\n56659 85014\n33314 50101\n21588 32468\n89461 100000\n83200 100000\n939 1424\n99299 100000\n3132 4726\n20431 30744\n87304 100000\n37879 56958\n89960 100000\n33083 49769\n76671 100000\n67332 100000\n38073 57231\n44147 66299\n74092 100000\n12565 18926\n76733 100000\n82844 100000\n59989 90051\n28133 42268\n67395 100000\n62393 93649\n2718 4107\n77323 100000\n85393 100000\n6455 9710\n22196 33390\n10444 15743\n62905 94423\n75928 100000\n10205 15368\n36332 54641\n10331 15568\n16277 24475\n86230 100000\n55296 82996\n15633 23498\n78949 100000\n2823 4262\n37094 55783\n90769 100000\n89692 100000\n8935 13458\n73354 100000\n45334 68064\n71749 100000\n97811 100000\n2814 4250\n98506 100000\n95004 100000\n89706 100000\n7299 11001\n28330 42564\n80935 100000\n2077 3130\n23009 34600\n84493 100000\n91282 100000\n35169 52867\n83312 100000\n86376 100000\n54408 81662\n31057 46689\n87339 100000\n31757 47757\n81923 100000\n52518 78842\n2831 4274\n30326 45567\n64211 96339\n17101 25712\n66374 99577\n65493 98243\n23042 34648\n2656 4012\n53555 80375\n48011 72092\n12649 19050\n93942 100000\n17018 25587\n56491 84771\n15862 23840\n43106 64728\n78313 100000\n51913 77928\n6691 10060\n28936 43483\n57708 86614\n68550 100000\n47691 71598\n82060 100000\n78380 100000\n90608 100000\n25270 37995\n32346 48656\n91485 100000\n52774 79219\n73206 100000\n37460 56330\n41234 61929\n24834 37345\n14503 21844\n48019 72102\n81140 100000\n89512 100000\n55066 82640\n46961 70507\n86171 100000\n61327 92055\n96512 100000\n68305 100000\n67636 100000\n26480 39790\n8590 12948\n37843 56901\n50002 75082\n71371 100000\n14684 22108\n35096 52762\n15556 23380\n92460 100000\n59597 89461\n34693 52161\n17768 26732\n2753 4158\n34198 51429\n65258 97894\n98113 100000\n23902 35968\n95404 100000\n19522 29360\n16795 25253\n27350 41100\n24645 37066\n63192 94849\n31998 48120\n80537 100000\n42607 64002\n89191 100000\n78290 100000\n2979 4492\n80067 100000\n7843 11815\n23057 34671\n51864 77848\n86797 100000\n54934 82447\n19184 28862\n89325 100000\n40505 60839\n63900 95884\n52960 79495\n93090 100000\n5463 8203\n42085 63207\n15004 22586\n99464 100000\n2701 4080\n97046 100000\n91052 100000\n57291 85984\n58998 88564\n7601 11462\n86972 100000\n67710 100000\n49865 74878\n72608 100000\n29667 44583\n81081 100000\n78307 100000\n56698 85074\n31340 47126\n15576 23414\n65006 97514\n14281 21501\n28192 42354\n75387 100000\n88430 100000\n71653 100000\n3896 5844\n46597 69957\n20280 30512\n40527 60870\n5998 9002\n45460 68257\n99782 100000\n3946 5924\n57379 86113\n20086 30218\n39305 59077\n14447 21758\n5194 7804\n66682 100000\n68755 100000\n3913 5873\n48633 73044\n81621 100000\n11015 16586\n76203 100000\n89830 100000\n83334 100000\n86527 100000\n36923 55524\n73034 100000\n32928 49535\n94916 100000\n30404 45687\n54147 81273\n30313 45547\n59536 89375\n1864 2828\n41772 62740\n42240 63438\n52709 79127\n90493 100000\n48889 73418\n59387 89162\n28865 43380\n65728 98587\n59037 88624\n72538 100000\n59033 88617\n15481 23276\n27626 41519\n81898 100000\n87011 100000\n6180 9275\n63300 95002\n39999 60094\n62892 94404\n61964 93005\n43377 65144\n68131 100000\n97851 100000\n38085 57249\n47363 71102\n48528 72892\n83643 100000\n35686 53644\n90746 100000\n88065 100000\n69860 100000\n91633 100000\n18638 28037\n74378 100000\n10737 16171\n83285 100000\n90611 100000\n26792 40259\n50547 75881\n30878 46413\n34564 51956\n70931 100000\n12527 18871\n68103 100000\n64489 96754\n32260 48529\n59043 88633\n51483 77279\n86714 100000\n36773 55292\n73527 100000\n62239 93420\n13818 20804\n82645 100000\n65784 98673\n66729 100000\n154 228\n59385 89159\n42679 64108\n42517 63860\n72087 100000\n19317 29057\n28547 42898\n73499 100000\n99648 100000\n35467 53314\n20288 30524\n77909 100000\n32026 48157\n20069 30191\n73429 100000\n39943 60009\n57622 86479\n91788 100000\n47378 71124\n51801 77751\n24633 37047\n10358 15612\n5345 8034\n67190 100000\n88781 100000\n25230 37931\n39574 59471\n84143 100000\n18438 27746\n20261 30484\n66570 99871\n59500 89325\n30799 46288\n75371 100000\n92579 100000\n61521 92347\n49883 74907\n37992 57117\n78364 100000\n26692 40102\n27549 41402\n79590 100000\n37661 56630\n38492 57878\n1262 1900\n74842 100000\n59821 89798\n96517 100000\n61923 92945\n57467 86245\n39357 59157\n26647 40031\n49128 73778\n95088 100000\n19553 29404\n92202 100000\n60317 90539\n69191 100000\n94169 100000\n96697 100000\n97198 100000\n37692 56675\n60988 91560\n15417 23182\n16447 24726\n50038 75135\n78151 100000\n7854 11832\n96428 100000\n99573 100000\n14879 22401\n25033 37642\n41711 62653\n42797 64281\n51972 78019\n20012 30104\n96149 100000\n98751 100000\n92290 100000\n25760 38723\n1739 2635\n59739 89683\n39910 59958\n9602 14462\n21333 32093\n60510 90825\n69557 100000\n13378 20146\n70267 100000\n31901 47972\n42695 64131\n80827 100000\n51636 77504\n3501 5254\n49737 74683\n93326 100000\n87192 100000\n22045 33159\n41865 62886\n8698 13104\n5316 7995\n57874 86859\n95242 100000\n67579 100000\n71621 100000\n26797 40265\n56188 84334\n62176 93321\n694 1057\n70689 100000\n70519 100000\n82120 100000\n39715 59684\n77703 100000\n36200 54430\n64383 96591\n75378 100000\n21715 32666\n38330 57633\n47375 71119\n52428 78713\n71462 100000\n18662 28077\n92429 100000\n98313 100000\n99579 100000\n12048 18164\n99708 100000\n41947 63009\n85564 100000\n24696 37141\n28060 42161\n2599 3923\n3923 5888\n40206 60404\n45117 67730\n58701 88114\n69378 100000\n25028 37634\n89402 100000\n62362 93599\n47648 71532\n31211 46929\n97145 100000\n80833 100000\n71341 100000\n18381 27660\n37348 56161\n81467 100000\n37594 56527\n96246 100000\n27895 41917\n92769 100000\n22799 34285\n79647 100000\n31552 47451\n80880 100000\n89570 100000\n57707 86613\n73748 100000\n93974 100000\n36847 55404\n82216 100000\n73567 100000\n79388 100000\n39199 58917\n3850 5779\n1237 1863\n4079 6127\n29296 44028\n86597 100000\n40905 61445\n31799 47820\n87368 100000\n55412 83167\n72252 100000\n81543 100000\n13504 20326\n31186 46889\n84415 100000\n10375 15636\n78793 100000\n15235 22919\n38916 58508\n50983 76527\n19721 29658\n74666 100000\n97367 100000\n56776 85204\n55513 83321\n15734 23641\n30923 46481\n13326 20069\n81965 100000\n55212 82869\n19723 29662\n8666 13057\n8546 12883\n97488 100000\n65751 98624\n58155 87286\n26242 39437\n21580 32455\n94353 100000\n10812 16278\n94155 100000\n91015 100000\n22237 33449\n43793 65768\n22116 33270\n35339 53125\n80009 100000\n65590 98382\n28874 43391\n14188 21359\n15216 22892\n61104 91729\n48684 73121\n64886 97351\n7791 11744\n52985 79534\n22143 33311\n90818 100000\n75155 100000\n94531 100000\n81283 100000\n47439 71216\n28451 42749\n54228 81391\n49578 74453\n84011 100000\n78925 100000\n95437 100000\n72758 100000\n4667 7004\n570 865\n40825 61325\n94179 100000\n55571 83411\n69316 100000\n96733 100000\n83194 100000\n52794 79244\n47001 70565\n64534 96823\n54308 81526\n51527 77342\n70012 100000\n72673 100000\n1917 2899\n42774 64248\n42000 63086\n66834 100000\n93016 100000\n83106 100000\n99276 100000\n21805 32800\n45945 68980\n38606 58047\n10971 16519\n31947 48041\n61978 93023\n12854 19362\n63156 94795\n93376 100000\n2042 3079\n50045 75144\n67106 100000\n92807 100000\n22074 33205\n90301 100000\n83060 100000\n22215 33417\n30900 46444\n66712 100000\n49483 74306\n85072 100000\n82345 100000\n93844 100000\n31833 47869\n8668 13061\n40932 61486\n30628 46033\n49213 73906\n24511 36862\n17584 26448\n17878 26903\n59363 89125\n22041 33154\n4213 6322\n80541 100000\n46468 69776\n16699 25110\n81981 100000\n87098 100000\n98490 100000\n24431 36738\n99552 100000\n69481 100000\n59874 89877\n61803 92766\n63668 95550\n97377 100000\n71583 100000\n69145 100000\n3279 4939\n22714 34162\n33234 49988\n20112 30259\n98219 100000\n97952 100000\n54467 81749\n42261 63470\n27224 40911\n47104 70710\n95288 100000\n24044 36165\n38452 57817\n32531 48935\n3532 5301\n69148 100000\n62638 94018\n10338 15580\n45825 68800\n64776 97186\n62463 93752\n65478 98219\n8581 12934\n58729 88158\n93823 100000\n85882 100000\n38240 57494\n21357 32125\n35641 53574\n94956 100000\n26999 40567\n75125 100000\n32617 49069\n71078 100000\n45109 67719\n99031 100000\n35399 53211\n73471 100000\n4607 6910\n12899 19432\n7756 11696\n41875 62903\n46599 69960\n80479 100000\n71871 100000\n45740 68669\n69854 100000\n68366 100000\n89284 100000\n36056 54206\n1010 1528\n70097 100000\n9121 13734\n10288 15503\n94247 100000\n85792 100000\n14603 21990\n62988 94543\n91419 100000\n13847 20852\n79450 100000\n12287 18514\n32666 49142\n93136 100000\n64367 96569\n80686 100000\n90535 100000\n22607 34004\n30438 45739\n24182 36370\n7702 11611\n33277 50051\n82513 100000\n8181 12328\n50769 76211\n15016 22604\n61074 91686\n11519 17356\n66268 99420\n91133 100000\n30343 45590\n63652 95525\n34723 52207\n82466 100000\n82853 100000\n50037 75134\n95562 100000\n22263 33490\n87617 100000\n71541 100000\n61319 92043\n68309 100000\n99181 100000\n71437 100000\n58212 87367\n51835 77802\n35090 52753\n22724 34178\n95102 100000\n70366 100000\n3481 5226\n91427 100000\n39991 60081\n12301 18535\n6034 9058\n56860 85336\n62523 93839\n42655 64072\n14990 22564\n97515 100000\n73891 100000\n51677 77569\n27722 41664\n10148 15283\n90772 100000\n99960 100000\n60368 90614\n70021 100000\n47710 71629\n28095 42210\n75242 100000\n46293 69511\n93722 100000\n86917 100000\n82097 100000\n91760 100000\n27878 41895\n18635 28031\n7615 11479\n26985 40543\n94640 100000\n7010 10559\n2597 3919\n37744 56756\n96157 100000\n41906 62948\n39491 59349\n33976 51095\n57926 86940\n98173 100000\n84469 100000\n42526 63874\n96366 100000\n5868 8806\n55616 83477\n43361 65122\n52071 78168\n21072 31701\n7139 10757\n79463 100000\n49879 74900\n67268 100000\n970 1468\n59518 89349\n96809 100000\n80401 100000\n82091 100000\n36175 54388\n49551 74411\n68513 100000\n67154 100000\n72467 100000\n39552 59441\n41746 62703\n13498 20318\n8703 13111\n35209 52927\n48539 72908\n45441 68227\n85208 100000\n10386 15653\n71449 100000\n56258 84439\n82815 100000\n22283 33524\n58548 87880\n36218 54462\n32960 49587\n38124 57313\n83094 100000\n35848 53887\n86825 100000\n15890 23884\n96077 100000\n18736 28193\n69257 100000\n60613 90980\n10497 15814\n68763 100000\n39198 58916\n30287 45508\n70357 100000\n30120 45256\n65275 97919\n3173 4788\n24611 37014\n1913 2892\n63815 95759\n2947 4446\n40877 61403\n28014 42097\n53718 80617\n11659 17578\n90031 100000\n66259 99404\n28702 43129\n73041 100000\n41967 63037\n7523 11338\n75676 100000\n57740 86662\n90896 100000\n18884 28417\n55017 82571\n16982 25535\n53693 80577\n44993 67551\n64160 96265\n37830 56882\n60496 90807\n24954 37519\n74033 100000\n17718 26654\n20275 30504\n83453 100000\n15789 23723\n51265 76952\n53829 80791\n55357 83088\n26733 40167\n61715 92634\n65022 97536\n97847 100000\n98265 100000\n4367 6550\n84762 100000\n55451 83227\n79357 100000\n14645 22051\n11200 16865\n58475 87772\n51333 77060\n23558 35430\n77095 100000\n18431 27734\n87438 100000\n4816 7229\n81001 100000\n8866 13350\n88696 100000\n42007 63096\n92981 100000\n40026 60132\n87611 100000\n46547 69890\n22202 33399\n7575 11417\n93748 100000\n88514 100000\n72879 100000\n57007 85553\n55373 83108\n51074 76667\n4516 6774\n80148 100000\n91536 100000\n12962 19525\n67188 100000\n46527 69859\n17995 27077\n15754 23671\n3170 4783\n1590 2403\n10422 15709\n92352 100000\n49417 74208\n70110 100000\n12229 18424\n61282 91992\n20600 30999\n14769 22240\n79290 100000\n3425 5151\n59877 89883\n36387 54725\n23273 34994\n62792 94253\n3567 5350\n17025 25598\n5644 8471\n77133 100000\n81294 100000\n56746 85155\n15713 23612\n59031 88615\n97473 100000\n13890 20916\n51653 77531\n90632 100000\n94891 100000\n20003 30089\n60567 90909\n42612 64011\n15874 23860\n20216 30410\n99514 100000\n70601 100000\n15256 22951\n29134 43781\n96780 100000\n65870 98806\n12870 19388\n45047 67628\n23764 35752\n88593 100000\n27695 41625\n74509 100000\n31289 47046\n97065 100000\n82424 100000\n96888 100000\n89740 100000\n26450 39748\n40510 60845\n86444 100000\n57552 86375\n62715 94134\n62770 94221\n76345 100000\n92186 100000\n31691 47658\n79661 100000\n1984 2996\n35646 53581\n3376 5083\n23644 35566\n36604 55046\n32872 49452\n33413 50250\n55927 83942\n88872 100000\n40304 60540\n10606 15972\n6022 9038\n52174 78322\n12655 19060\n71257 100000\n62413 93679\n70297 100000\n23384 35168\n96983 100000\n25964 39024\n9580 14429\n61899 92910\n89171 100000\n65052 97580\n16595 24950\n38755 58270\n12057 18178\n68797 100000\n66568 99868\n9329 14058\n34186 51412\n60128 90259\n45852 68841\n63004 94571\n50512 75833\n18049 27162\n2902 4383\n58788 88253\n42164 63322\n70134 100000\n90105 100000\n50833 76302\n32126 48310\n58304 87518\n9341 14077\n59087 88699\n74136 100000\n57797 86745\n7725 11645\n85434 100000\n98247 100000\n56824 85278\n24076 36211\n8513 12831\n97813 100000\n35426 53253\n89268 100000\n90051 100000\n38502 57892\n48850 73362\n81169 100000\n7670 11563\n56016 84082\n87752 100000\n46417 69693\n85751 100000\n37091 55780\n55322 83036\n10873 16373\n85051 100000\n66638 99973\n20241 30452\n11733 17696\n29038 43638\n97550 100000\n32394 48726\n93555 100000\n83196 100000\n41822 62820\n41121 61764\n21821 32825\n6347 9532\n207 307\n98499 100000\n53619 80470\n35545 53431\n30571 45948\n28961 43524\n59545 89388\n29651 44558\n23465 35286\n94207 100000\n21189 31878\n17770 26735\n88698 100000\n37900 56988\n14222 21413\n69018 100000\n60868 91376\n75101 100000\n74742 100000\n7603 11465\n63314 95022\n16723 25143\n7870 11857\n31023 46638\n92761 100000\n86372 100000\n81605 100000\n91742 100000\n85777 100000\n85448 100000\n51667 77553\n29866 44881\n84554 100000\n82718 100000\n61743 92675\n1499 2262\n99509 100000\n52249 78436\n6858 10317\n48117 72257\n27614 41499\n95852 100000\n62940 94471\n58347 87583\n30883 46420\n66997 100000\n53318 80021\n91435 100000\n25871 38889\n69930 100000\n35148 52835\n34676 52132\n96552 100000\n34500 51866\n4074 6120\n70331 100000\n87524 100000\n85066 100000\n61619 92488\n84916 100000\n22183 33371\n71830 100000\n33991 51119\n48478 72815\n13496 20316\n51099 76705\n5087 7634\n72803 100000\n33209 49953\n47260 70945\n78807 100000\n82866 100000\n1243 1872\n88218 100000\n45581 68435\n11419 17197\n54798 82248\n45543 68376\n71700 100000\n78496 100000\n78653 100000\n98498 100000\n17814 26802\n61251 91948\n80762 100000\n10490 15803\n18450 27765\n35178 52881\n7498 11301\n29918 44957\n78922 100000\n28917 43457\n39061 58725\n29036 43635\n86435 100000\n57165 85799\n41473 62295\n94219 100000\n64526 96809\n54039 81105\n56570 84889\n49711 74645\n58540 87868\n56435 84695\n36010 54133\n17779 26750\n56176 84315\n74862 100000\n35165 52860\n90879 100000\n46176 69330\n13519 20348\n88113 100000\n49491 74320\n42802 64288\n93621 100000\n88134 100000\n84955 100000\n38191 57414\n37910 57001\n36212 54451\n28556 42910\n82225 100000\n2989 4509\n6027 9045\n4258 6388\n24291 36532\n10201 15363\n30399 45679\n31453 47300\n13153 19810\n12066 18194\n55318 83030\n27577 41444\n88877 100000\n49771 74740\n27789 41767\n1149 1737\n53254 79924\n86350 100000\n52191 78348\n93145 100000\n24833 37343\n87985 100000\n10182 15333\n37157 55874\n35110 52780\n59881 89889\n60256 90446\n11357 17102\n81775 100000\n46073 69173\n65140 97716\n88946 100000\n66546 99832\n25385 38166\n68441 100000\n74908 100000\n42251 63455\n21545 32396\n36707 55197\n34861 52418\n64140 96237\n88582 100000\n84296 100000\n641 973\n28471 42776\n78919 100000\n16199 24358\n87201 100000\n70976 100000\n86382 100000\n77172 100000\n62376 93621\n45231 67903\n79765 100000\n91477 100000\n21727 32682\n8093 12194\n38962 58580\n20496 30844\n45070 67663\n41136 61781\n37270 56045\n92595 100000\n29764 44732\n61572 92421\n6663 10018\n23008 34599\n97398 100000\n44481 66770\n12839 19338\n30241 45439\n11926 17982\n49567 74433\n22769 34243\n70743 100000\n55063 82636\n66711 100000\n10029 15100\n48013 72094\n6958 10470\n91406 100000\n22296 33545\n47634 71509\n66541 99825\n83020 100000\n12024 18131\n97103 100000\n40634 61041\n83356 100000\n93368 100000\n82423 100000\n83262 100000\n69715 100000\n33560 50468\n56468 84739\n12550 18903\n22919 34465\n9577 14424\n72513 100000\n79196 100000\n24820 37322\n687 1046\n36861 55428\n63183 94836\n6224 9337\n58343 87578\n85905 100000\n13358 20118\n91430 100000\n42072 63187\n99435 100000\n91384 100000\n41760 62722\n52368 78621\n31083 46726\n8880 13371\n9195 13848\n59426 89220\n14811 22305\n75657 100000\n75001 100000\n80916 100000\n6312 9475\n41969 63041\n97624 100000\n88583 100000\n19567 29426\n84728 100000\n86121 100000\n81647 100000\n71129 100000\n60090 90200\n43190 64851\n38313 57604\n48318 72573\n24667 37101\n32504 48891\n57383 86119\n5328 8012\n17744 26693\n83735 100000\n15345 23077\n39215 58939\n16017 24079\n49531 74381\n87871 100000\n44058 66163\n85511 100000\n23458 35276\n2176 3285\n94401 100000\n82067 100000\n55820 83788\n26459 39760\n57948 86972\n88252 100000\n36130 54317\n35924 54000\n93515 100000\n50901 76404\n1048 1587\n63765 95687\n3860 5797\n96938 100000\n39853 59873\n91201 100000\n33031 49689\n32425 48770\n53207 79856\n91828 100000\n89661 100000\n40680 61110\n44367 66610\n48412 72713\n3412 5134\n34421 51750\n82064 100000\n60752 91191\n88120 100000\n82478 100000\n28629 43027\n23445 35255\n82652 100000\n86255 100000\n51672 77560\n78183 100000\n52231 78410\n6038 9065\n90113 100000\n82716 100000\n29870 44886\n26313 39542\n72474 100000\n7309 11012\n14208 21391\n69553 100000\n28160 42309\n90121 100000\n79381 100000\n99053 100000\n55879 83870\n55870 83858\n29432 44235\n43714 65646\n16116 24232\n74471 100000\n85000 100000\n12552 18906\n74999 100000\n11101 16714\n96597 100000\n50139 75276\n89627 100000\n82715 100000\n66505 99771\n6781 10202\n52656 79046\n11157 16801\n31562 47466\n90234 100000\n91888 100000\n96105 100000\n97939 100000\n58836 88327\n59506 89333\n29920 44960\n65948 98925\n23276 34998\n47692 71599\n882 1341\n80417 100000\n39889 59926\n29589 44470\n71313 100000\n1657 2508\n39878 59909\n98050 100000\n73877 100000\n25971 39033\n34798 52322\n95364 100000\n8262 12452\n56169 84304\n16382 24632\n55836 83811\n11923 17978\n7819 11783\n92069 100000\n76952 100000\n90128 100000\n76555 100000\n88592 100000\n18228 27431\n30827 46331\n44000 66075\n67500 100000\n99844 100000\n78172 100000\n19661 29563\n54545 81869\n84866 100000\n23600 35496\n77373 100000\n26690 40099\n18939 28498\n34190 51418\n76295 100000\n9311 14031\n70326 100000\n69760 100000\n13015 19605\n48912 73453\n84753 100000\n45495 68309\n39695 59654\n25539 38389\n4431 6649\n2820 4257\n70059 100000\n23901 35966\n69722 100000\n81335 100000\n56780 85210\n43414 65199\n39699 59659\n60051 90144\n56253 84432\n50398 75664\n79790 100000\n49561 74423\n82796 100000\n23770 35762\n72345 100000\n67785 100000\n68965 100000\n86919 100000\n83834 100000\n87807 100000\n56374 84608\n18079 27206\n86027 100000\n7720 11637\n64977 97476\n27671 41587\n69908 100000\n21033 31643\n82347 100000\n39976 60057\n2504 3783\n88577 100000\n19284 29006\n26411 39690\n1257 1891\n64386 96596\n88536 100000\n71978 100000\n85402 100000\n58739 88174\n61600 92459\n12464 18781\n10753 16195\n13830 20826\n49233 73936\n95387 100000\n35988 54096\n34279 51545\n78494 100000\n94666 100000\n43142 64782\n28673 43088\n51876 77870\n43398 65177\n70500 100000\n96490 100000\n13061 19672\n71768 100000\n40845 61351\n26444 39740\n69401 100000\n39298 59065\n48700 73149\n76556 100000\n74408 100000\n92912 100000\n31984 48098\n54103 81204\n43811 65796\n59409 89194\n51008 76567\n48666 73091\n92454 100000\n75686 100000\n55449 83224\n22144 33312\n92391 100000\n18009 27098\n92911 100000\n46024 69103\n57991 87040\n86665 100000\n99884 100000\n44407 66664\n16543 24871\n80605 100000\n79843 100000\n66549 99838\n39799 59794\n65609 98413\n16650 25035\n14339 21598\n69439 100000\n25993 39067\n80547 100000\n42324 63568\n54902 82400\n49224 73922\n71045 100000\n27814 41804\n42942 64493\n52571 78918\n25146 37810\n33667 50627\n21481 32307\n39069 58738\n2070 3119\n32684 49168\n24595 36990\n22676 34105\n27642 41543\n18806 28300\n50960 76495\n38507 57901\n57700 86602\n41767 62734\n60084 90192\n99185 100000\n69443 100000\n99643 100000\n70620 100000\n34205 51439\n24351 36619\n61002 91578\n35397 53208\n92049 100000\n52208 78376\n67417 100000\n8332 12558\n90261 100000\n24482 36816\n19844 29847\n77765 100000\n52181 78332\n39726 59698\n69075 100000\n6670 10028\n33508 50387\n3285 4948\n52598 78962\n65715 98569\n9108 13714\n48180 72356\n84570 100000\n58019 87081\n56924 85426\n36939 55546\n6284 9433\n69858 100000\n31201 46913\n71251 100000\n32509 48899\n65229 97850\n95442 100000\n59209 88881\n9643 14527\n18196 27383\n90509 100000\n41207 61888\n38920 58513\n46717 70134\n51795 77744\n67011 100000\n28212 42381\n40299 60534\n72425 100000\n36567 54989\n28361 42614\n14646 22053\n91357 100000\n81676 100000\n93938 100000\n77576 100000\n53041 79612\n15540 23357\n95917 100000\n43468 65281\n77029 100000\n79823 100000\n91113 100000\n80653 100000\n76714 100000\n9976 15018\n68207 100000\n86292 100000\n94643 100000\n9761 14699\n73550 100000\n7695 11600\n96481 100000\n51312 77028\n16141 24269\n10764 16210\n27171 40828\n90461 100000\n11403 17170\n90857 100000\n41758 62719\n27252 40954\n80309 100000\n31593 47514\n25522 38365\n44286 66493\n96778 100000\n69978 100000\n76583 100000\n65989 98986\n81835 100000\n97957 100000\n17365 26122\n36253 54517\n7872 11861\n15255 22950\n25200 37891\n89475 100000\n72009 100000\n70718 100000\n43440 65241\n90164 100000\n92054 100000\n35136 52819\n15047 22653\n30058 45161\n55150 82778\n76246 100000\n94343 100000\n900 1366\n12880 19405\n7014 10565\n38116 57301\n48494 72845\n11420 17199\n99554 100000\n62639 94019\n66537 99819\n98144 100000\n35011 52635\n92127 100000\n29328 44077\n24559 36935\n15209 22880\n57029 85589\n12524 18865\n23383 35167\n34330 51619\n66620 99944\n50459 75755\n63716 95615\n11895 17937\n11687 17620\n75330 100000\n65707 98559\n73104 100000\n94593 100000\n11286 16995\n11945 18014\n5713 8572\n3113 4699\n74331 100000\n53589 80424\n39243 58983\n40220 60422\n41138 61783\n42916 64455\n5298 7968\n11044 16628\n1838 2787\n33698 50672\n66803 100000\n73390 100000\n73398 100000\n4940 7415\n78798 100000\n53407 80156\n22410 33703\n63768 95692\n62487 93783\n20380 30667\n35286 53045\n99909 100000\n4603 6906\n33470 50332\n42200 63376\n69308 100000\n7971 12008\n81637 100000\n23125 34778\n3487 5235\n20429 30741\n31551 47449\n56589 84917\n88277 100000\n60003 90071\n52136 78265\n91250 100000\n56108 84214\n28614 43004\n24410 36707\n71172 100000\n30796 46284\n93481 100000\n50534 75862\n32116 48295\n87080 100000\n90050 100000\n29654 44562\n9327 14056\n63016 94588\n46872 70383\n59901 89918\n22666 34092\n75162 100000\n64628 96960\n43927 65967\n72584 100000\n88054 100000\n75845 100000\n52756 79190\n4536 6805\n25225 37925\n78518 100000\n49088 73717\n6257 9391\n76207 100000\n36594 55029\n36681 55160\n73715 100000\n4513 6770\n76729 100000\n95640 100000\n89577 100000\n16562 24900\n13295 20023\n84311 100000\n63264 94954\n70782 100000\n47154 70786\n79364 100000\n33375 50190\n55877 83868\n74029 100000\n28001 42078\n97712 100000\n10821 16293\n96645 100000\n59333 89076\n23037 34640\n51503 77308\n94210 100000\n50018 75109\n27153 40804\n30183 45355\n47292 70993\n46979 70531\n42141 63284\n62496 93796\n21502 32336\n49074 73695\n44713 67115\n33870 50931\n34307 51585\n93726 100000\n11959 18037\n59907 89927\n44315 66536\n29503 44336\n64742 97134\n55329 83046\n20468 30801\n53235 79896\n4856 7291\n3720 5581\n76051 100000\n8875 13363\n44085 66203\n33818 50854\n94762 100000\n55810 83772\n55949 83977\n47678 71579\n99257 100000\n66770 100000\n43568 65431\n3420 5143\n42223 63411\n73672 100000\n34422 51752\n39225 58953\n84423 100000\n62646 94031\n24755 37230\n89073 100000\n63608 95461\n8830 13303\n84087 100000\n68495 100000\n38858 58424\n94317 100000\n59361 89121\n59981 90038\n79703 100000\n33312 50099\n72537 100000\n35500 53360\n7618 11483\n95498 100000\n72184 100000\n34044 51197\n31638 47581\n21610 32504\n97144 100000\n1508 2277\n5848 8776\n37983 57106\n59369 89134\n42501 63835\n21682 32615\n75695 100000\n73451 100000\n32943 49559\n33898 50975\n75333 100000\n96415 100000\n95092 100000\n90524 100000\n20414 30718\n13449 20251\n68977 100000\n86909 100000\n40222 60426\n73370 100000\n65642 98460\n80216 100000\n25236 37941\n30519 45867\n94435 100000\n65766 98645\n39997 60090\n34660 52106\n47526 71345\n87235 100000\n40368 60634\n93400 100000\n91510 100000\n71150 100000\n90715 100000\n23341 35101\n91754 100000\n90063 100000\n62299 93507\n61659 92554\n85299 100000\n35553 53443\n70723 100000\n50599 75960\n74620 100000\n60403 90664\n811 1231\n14156 21307\n82193 100000\n4708 7064\n51149 76777\n57534 86348\n228 338\n1553 2347\n77422 100000\n38141 57339\n51413 77180\n345 517\n97507 100000\n91337 100000\n27548 41400\n37909 57000\n90427 100000\n53620 80472\n19012 28609\n40209 60407\n63459 95234\n17595 26467\n39842 59860\n1173 1774\n69747 100000\n78482 100000\n82544 100000\n55560 83395\n50969 76507\n69371 100000\n17332 26071\n10022 15088\n32128 48313\n53314 80014\n87498 100000\n99972 100000\n28960 43523\n95287 100000\n29403 44188\n90960 100000\n89729 100000\n54282 81484\n22300 33550\n20797 31296\n89572 100000\n2739 4140\n23978 36073\n46977 70528\n3035 4579\n4126 6192\n65565 98344\n38482 57863\n67536 100000\n14257 21463\n33482 50350\n61821 92791\n57431 86189\n69200 100000\n89478 100000\n20088 30222\n44208 66383\n82696 100000\n37361 56180\n9789 14742\n110 161\n77348 100000\n59656 89551\n52753 79186\n55882 83874\n53328 80037\n57411 86160\n13548 20395\n77899 100000\n26665 40059\n31140 46819\n10803 16267\n26613 39980\n61029 91618\n59283 88999\n98221 100000\n40460 60773\n70307 100000\n63953 95961\n8026 12094\n76069 100000\n64852 97301\n97380 100000\n18945 28507\n51484 77280\n40756 61220\n94708 100000\n65134 97708\n5484 8235\n35914 53986\n76296 100000\n90935 100000\n91591 100000\n43602 65484\n77300 100000\n68916 100000\n20536 30903\n89694 100000\n77705 100000\n62845 94334\n52335 78569\n92900 100000\n67142 100000\n71196 100000\n31790 47804\n75894 100000\n25665 38581\n41468 62287\n81192 100000\n79535 100000\n35587 53496\n7932 11951\n67995 100000\n97435 100000\n62283 93484\n16191 24346\n27108 40737\n36171 54383\n44639 67006\n96437 100000\n52419 78701\n39098 58780\n10637 16018\n76185 100000\n49965 75028\n4606 6909\n6636 9974\n39075 58748\n20430 30743\n30924 46483\n28466 42770\n65427 98137\n96132 100000\n25709 38646\n6753 10158\n19351 29104\n50150 75294\n89482 100000\n84140 100000\n92010 100000\n86492 100000\n74075 100000\n93450 100000\n68164 100000\n59304 89032\n48256 72472\n7337 11054\n20025 30127\n29297 44029\n8654 13039\n40129 60288\n54956 82481\n75920 100000\n60836 91324\n38436 57796\n55127 82742\n63303 95006\n4275 6415\n47490 71295\n60455 90743\n96294 100000\n9008 13572\n48749 73220\n88480 100000\n62833 94316\n28145 42285\n52575 78925\n57841 86810\n71278 100000\n37342 56153\n39516 59387\n83489 100000\n41298 62026\n98997 100000\n73939 100000\n47763 71706\n91697 100000\n74176 100000\n83867 100000\n62451 93735\n17044 25631\n50827 76293\n53868 80852\n72563 100000\n91351 100000\n40660 61080\n34600 52011\n593 902\n46189 69349\n74350 100000\n25074 37705\n5351 8042\n3282 4944\n59927 89960\n76222 100000\n75607 100000\n70423 100000\n3168 4781\n37945 57049\n57914 86922\n15623 23483\n28794 43268\n65119 97685\n41388 62162\n5214 7831\n72130 100000\n71776 100000\n30967 46554\n50276 75484\n78514 100000\n7607 11469\n32692 49179\n64415 96641\n29967 45030\n65051 97578\n22150 33323\n46184 69343\n21854 32875\n32322 48622\n450 677\n992 1502\n1466 2209\n62683 94087\n95911 100000\n31096 46748\n90873 100000\n15202 22869\n54445 81718\n13450 20252\n17969 27037\n44573 66905\n16559 24895\n9332 14062\n56638 84984\n80665 100000\n74830 100000\n14876 22397\n87717 100000\n45571 68419\n59556 89404\n39790 59782\n20437 30753\n10785 16242\n94910 100000\n35904 53970\n31405 47223\n79094 100000\n80217 100000\n65480 98221\n56174 84312\n35157 52847\n55471 83259\n86837 100000\n19601 29474\n25605 38487\n99239 100000\n81943 100000\n96499 100000\n51466 77255\n29163 43827\n75900 100000\n81486 100000\n93560 100000\n50389 75650\n693 1056\n74010 100000\n12711 19141\n77231 100000\n63066 94664\n41480 62308\n72621 100000\n59393 89171\n37917 57009\n88799 100000\n7125 10738\n1107 1675\n86333 100000\n52610 78976\n48803 73292\n42720 64170\n20433 30747\n70432 100000\n65791 98685\n55400 83150\n78066 100000\n70902 100000\n17179 25827\n5023 7541\n96719 100000\n18501 27839\n61125 91757\n58953 88498\n16197 24356\n51278 76973\n53114 79717\n55129 82746\n15415 23178\n8815 13279\n41687 62619\n57887 86880\n81677 100000\n87698 100000\n1824 2767\n3968 5960\n55814 83779\n53991 81036\n19114 28754\n7747 11683\n97617 100000\n55512 83320\n90940 100000\n46088 69194\n59760 89717\n31606 47533\n85405 100000\n82039 100000\n45752 68687\n32882 49468\n10307 15531\n99533 100000\n81625 100000\n73081 100000\n13252 19952\n37948 57053\n71538 100000\n40106 60253\n46308 69532\n98663 100000\n59298 89024\n36504 54898\n95059 100000\n99550 100000\n9944 14968\n49102 73738\n65157 97743\n56236 84408\n13025 19620\n89897 100000\n94042 100000\n95268 100000\n59015 88592\n49490 74318\n75202 100000\n80430 100000\n1868 2833\n77888 100000\n41125 61769\n36078 54240\n5055 7588\n21935 32996\n94222 100000\n52973 79516\n8984 13534\n67192 100000\n19277 28997\n70869 100000\n79640 100000\n13226 19914\n24881 37413\n71439 100000\n27248 40947\n43154 64799\n99227 100000\n13208 19890\n59027 88608\n25155 37824\n29060 43672\n34160 51372\n35978 54080\n3629 5442\n51373 77119\n46947 70487\n99481 100000\n57250 85924\n81212 100000\n65177 97774\n66055 99091\n36577 55001\n83411 100000\n77039 100000\n36431 54788\n87282 100000\n33901 50980\n82186 100000\n14710 22148\n81285 100000\n29662 44576\n71636 100000\n81118 100000\n16915 25433\n67498 100000\n10435 15729\n35567 53466\n23653 35580\n14337 21594\n37470 56344\n43169 64825\n3515 5274\n66043 99071\n21125 31777\n3526 5292\n38873 58445\n70262 100000\n97789 100000\n67064 100000\n8527 12852\n99046 100000\n12114 18267\n8715 13125\n78902 100000\n67656 100000\n57108 85713\n97164 100000\n79648 100000\n25659 38573\n60872 91382\n89643 100000\n78859 100000\n38162 57373\n10994 16553\n54903 82401\n19397 29177\n17260 25952\n1958 2957\n10092 15198\n23697 35650\n80341 100000\n55429 83192\n7991 12043\n50068 75177\n97747 100000\n95800 100000\n26660 40050\n8088 12188\n54269 81462\n93916 100000\n63721 95621\n43926 65965\n58575 87926\n78780 100000\n34444 51787\n84459 100000\n80641 100000\n3945 5922\n10471 15777\n86231 100000\n31759 47761\n35451 53292\n6811 10249\n5368 8067\n9233 13906\n88788 100000\n77686 100000\n35702 53667\n7597 11454\n39755 59736\n75557 100000\n54609 81962\n31616 47550\n71851 100000\n93096 100000\n93160 100000\n78637 100000\n81385 100000\n12063 18189\n72469 100000\n36162 54367\n56181 84323\n66531 99810\n30700 46145\n72147 100000\n48955 73514\n52098 78210\n46028 69110\n55691 83593\n55625 83490\n91631 100000\n15486 23283\n7529 11349\n78286 100000\n46810 70279\n94266 100000\n83544 100000\n4204 6311\n33877 50943\n6460 9715\n54795 82245\n47021 70594\n94667 100000\n18241 27448\n27242 40938\n50898 76399\n30590 45974\n55740 83663\n54002 81052\n51689 77588\n62192 93342\n38108 57287\n92479 100000\n18698 28133\n85411 100000\n19218 28908\n40360 60623\n66395 99609\n9205 13862\n77126 100000\n78450 100000\n40773 61246\n17300 26017\n87319 100000\n73452 100000\n47749 71685\n54679 82065\n35252 52990\n17829 26825\n22747 34212\n87580 100000\n1652 2501\n53582 80413\n97399 100000\n19639 29529\n88319 100000\n98680 100000\n90238 100000\n18470 27795\n60955 91506\n65593 98388\n36616 55063\n3711 5567\n25204 37897\n5139 7713\n75088 100000\n3367 5069\n32054 48202\n25388 38170\n63913 95902\n43239 64930\n17889 26917\n17933 26983\n76876 100000\n6359 9553\n94144 100000\n88469 100000\n97159 100000\n65402 98099\n8713 13123\n33875 50940\n89816 100000\n57742 86664\n73296 100000\n98383 100000\n41485 62317\n93553 100000\n67977 100000\n92039 100000\n41201 61881\n16628 25003\n58993 88557\n34038 51189\n2636 3984\n78227 100000\n94785 100000\n52825 79290\n52535 78871\n75617 100000\n57966 86999\n49066 73683\n13650 20549\n69345 100000\n23566 35443\n18304 27543\n40942 61500\n12927 19472\n26195 39367\n74921 100000\n3597 5396\n53309 80006\n71213 100000\n87064 100000\n73458 100000\n68599 100000\n87311 100000\n86260 100000\n81395 100000\n35433 53263\n34618 52038\n88772 100000\n36330 54638\n10906 16422\n5276 7931\n1890 2860\n48139 72295\n85738 100000\n66988 100000\n97149 100000\n38856 58422\n19585 29455\n67998 100000\n42889 64413\n57484 86269\n39454 59297\n22702 34142\n49257 73975\n66647 99986\n87836 100000\n38568 57992\n54781 82225\n85486 100000\n99391 100000\n49057 73668\n37251 56016\n13820 20808\n12190 18371\n33615 50549\n31630 47570\n85787 100000\n78243 100000\n5810 8719\n65944 98918\n97467 100000\n8364 12609\n93584 100000\n87978 100000\n42534 63885\n95708 100000\n74826 100000\n60967 91527\n469 709\n59745 89694\n64475 96729\n13340 20090\n32442 48797\n94568 100000\n38680 58153\n94436 100000\n71822 100000\n41904 62945\n76763 100000\n54030 81092\n56194 84343\n64502 96771\n8667 13059\n66007 99016\n23691 35642\n30542 45905\n72600 100000\n62949 94486\n34807 52335\n96599 100000\n52145 78279\n26063 39163\n17502 26323\n35520 53393\n38339 57648\n76361 100000\n21873 32904\n32396 48729\n21184 31870\n43036 64630\n78090 100000\n85041 100000\n43785 65757\n11343 17082\n30252 45456\n3608 5412\n59138 88774\n61810 92776\n85387 100000\n52202 78366\n14482 21812\n96592 100000\n27143 40790\n72722 100000\n14532 21886\n64638 96977\n98586 100000\n69007 100000\n31450 47296\n94063 100000\n33166 49892\n56933 85441\n16920 25442\n3777 5667\n24978 37557\n29899 44928\n12531 18876\n69727 100000\n44805 67254\n38309 57598\n26547 39887\n2074 3124\n12798 19277\n44989 67545\n3979 5976\n40655 61073\n56312 84521\n83268 100000\n20474 30811\n11271 16974\n52325 78554\n82847 100000\n49365 74131\n80135 100000\n68246 100000\n62466 93755\n23017 34609\n49198 73883\n92179 100000\n76441 100000\n48522 72885\n46566 69917\n20556 30932\n64040 96088\n63250 94935\n19637 29527\n26468 39773\n35432 53261\n97923 100000\n94407 100000\n6461 9716\n11211 16881\n9251 13938\n20073 30197\n55537 83358\n42183 63351\n93264 100000\n18763 28234\n47702 71617\n37009 55656\n97967 100000\n11795 17787\n49998 75075\n18119 27269\n94075 100000\n4868 7306\n16192 24348\n35654 53592\n16370 24612\n86021 100000\n52845 79321\n84089 100000\n94371 100000\n35960 54052\n6375 9582\n3307 4981\n71099 100000\n22401 33691\n91353 100000\n43544 65393\n45647 68528\n55002 82551\n38148 57349\n46590 69948\n27177 40837\n8140 12266\n21475 32301\n1554 2348\n45146 67772\n3926 5893\n37450 56316\n69039 100000\n10981 16532\n42500 63833\n46880 70395\n60745 91181\n86137 100000\n15552 23374\n15273 22973\n3364 5065\n91928 100000\n46681 70083\n34004 51140\n55230 82892\n64521 96802\n40251 60465\n99734 100000\n66871 100000\n20942 31515\n77990 100000\n83355 100000\n50197 75367\n37607 56546\n81034 100000\n87984 100000\n1283 1935\n27654 41563\n61270 91975\n69302 100000\n43549 65401\n16107 24215\n19711 29645\n84795 100000\n4911 7371\n78954 100000\n82125 100000\n85027 100000\n44191 66358\n44158 66316\n72235 100000\n39120 58810\n26271 39480\n95598 100000\n98919 100000\n48140 72297\n82356 100000\n4320 6479\n56111 84219\n64380 96587\n52685 79093\n63884 95860\n48438 72752\n68928 100000\n13884 20906\n11524 17366\n61181 91840\n54105 81208\n63530 95341\n95833 100000\n38143 57342\n64503 96772\n7266 10948\n51977 78026\n5399 8113\n65172 97766\n77731 100000\n1188 1795\n40833 61338\n9963 14998\n49563 74426\n92137 100000\n68081 100000\n36046 54190\n46440 69731\n94988 100000\n26072 39178\n34632 52058\n51261 76945\n61434 92215\n57145 85768\n93655 100000\n86897 100000\n42138 63280\n35120 52793\n87009 100000\n66201 99315\n31458 47307\n38238 57491\n76813 100000\n19306 29041\n77588 100000\n19947 30000\n55905 83911\n94335 100000\n15617 23475\n98230 100000\n23840 35872\n63202 94863\n87355 100000\n42689 64123\n64862 97315\n57028 85587\n42924 64468\n75099 100000\n95785 100000\n8431 12710\n21775 32753\n77957 100000\n44002 66077\n83399 100000\n75849 100000\n51313 77030\n3245 4892\n26340 39585\n72112 100000\n99705 100000\n63454 95226\n2211 3338\n84346 100000\n85035 100000\n14037 21133\n77515 100000\n78990 100000\n25504 38342\n34896 52473\n52062 78155\n42672 64099\n43625 65520\n71349 100000\n60560 90897\n2999 4525\n74320 100000\n40047 60162\n57531 86343\n27225 40912\n14391 21673\n77694 100000\n85303 100000\n46126 69250\n40380 60656\n66828 100000\n18499 27836\n95420 100000\n60157 90297\n26869 40379\n72769 100000\n40981 61555\n42059 63169\n86662 100000\n39263 59012\n64565 96868\n46732 70157\n97814 100000\n39411 59235\n31577 47488\n34583 51985\n57868 86850\n65458 98188\n26956 40502\n37110 55805\n38412 57755\n38573 57998\n46006 69078\n92963 100000\n90275 100000\n41876 62904\n48002 72079\n28919 43460\n15154 22802\n64434 96668\n25768 38735\n5477 8224\n27652 41561\n80982 100000\n72466 100000\n27771 41740\n98582 100000\n28862 43377\n89673 100000\n91785 100000\n65318 97982\n11152 16794\n88379 100000\n24661 37090\n53221 79876\n27139 40784\n159 237\n30909 46461\n85221 100000\n59481 89299\n42412 63697\n75028 100000\n8335 12562\n34246 51500\n84565 100000\n90052 100000\n92292 100000\n21068 31695\n73548 100000\n14142 21284\n41713 62657\n67879 100000\n31272 47022\n34814 52349\n36873 55446\n81324 100000\n42305 63538\n69843 100000\n24272 36504\n52695 79108\n47328 71051\n44996 67556\n72726 100000\n1887 2857\n2165 3267\n96046 100000\n27345 41094\n54189 81337\n15984 24023\n8549 12887\n25931 38976\n61539 92373\n23148 34811\n65191 97796\n33258 50026\n63114 94737\n24207 36410\n47159 70794\n95825 100000\n60876 91386\n75505 100000\n59366 89129\n630 958\n80115 100000\n31546 47440\n70088 100000\n8290 12498\n91479 100000\n27644 41547\n47834 71809\n99768 100000\n85145 100000\n96070 100000\n93517 100000\n10886 16393\n90418 100000\n57069 85651\n60161 90303\n85926 100000\n68705 100000\n67345 100000\n34515 51886\n34122 51315\n53323 80028\n83280 100000\n56696 85071\n79676 100000\n21710 32659\n76749 100000\n52226 78404\n8591 12949\n40008 60106\n11470 17283\n87047 100000\n54893 82387\n25742 38697\n87584 100000\n80559 100000\n19862 29874\n88050 100000\n83577 100000\n76421 100000\n4776 7167\n26984 40541\n88361 100000\n1203 1818\n21926 32983\n16517 24831\n5383 8089\n55261 82941\n99183 100000\n48940 73493\n7076 10659\n68151 100000\n96320 100000\n66905 100000\n19919 29955\n72910 100000\n48859 73376\n73809 100000\n55125 82738\n30758 46232\n24191 36384\n22654 34075\n5530 8303\n72168 100000\n96510 100000\n87912 100000\n13641 20533\n90430 100000\n18302 27540\n53486 80274\n3975 5971\n63380 95119\n46487 69803\n53190 79830\n79241 100000\n41240 61939\n76976 100000\n25439 38251\n85841 100000\n18814 28310\n9673 14571\n86874 100000\n91471 100000\n7051 10622\n93457 100000\n53655 80521\n14224 21416\n8489 12795\n55586 83431\n83089 100000\n70478 100000\n82103 100000\n63176 94825\n21509 32345\n58380 87631\n76397 100000\n67550 100000\n39205 58924\n96051 100000\n47181 70825\n1577 2381\n39389 59206\n9430 14211\n81306 100000\n84245 100000\n16001 24051\n88163 100000\n58501 87809\n36144 54339\n85624 100000\n19727 29666\n40144 60310\n42877 64396\n65901 98852\n73618 100000\n62570 93916\n87143 100000\n5007 7515\n18877 28406\n7050 10620\n51004 76561\n57272 85955\n65683 98524\n80416 100000\n3383 5093\n6230 9346\n58214 87371\n5192 7801\n68402 100000\n44246 66431\n403 605\n71803 100000\n31560 47463\n35443 53279\n55376 83112\n11150 16792\n37631 56583\n31404 47222\n57389 86128\n86180 100000\n14022 21110\n39950 60018\n25534 38380\n48153 72317\n37070 55745\n13792 20762\n49030 73627\n74363 100000\n42780 64257\n26155 39308\n19618 29499\n63365 95098\n5221 7844\n65310 97972\n54915 82417\n70072 100000\n56432 84690\n34114 51304\n13740 20680\n9184 13829\n48050 72157\n47141 70764\n1610 2431\n21188 31877\n54955 82479\n19321 29062\n85818 100000\n13850 20857\n99893 100000\n49548 74406\n89598 100000\n8135 12257\n99936 100000\n45194 67844\n2390 3616\n37239 55999\n38037 57183\n84156 100000\n63760 95678\n40366 60632\n63482 95268\n70334 100000\n93985 100000\n60722 91144\n84547 100000\n10893 16402\n7056 10629\n22325 33585\n89163 100000\n43088 64701\n7101 10700\n91896 100000\n43847 65852\n32443 48798\n78486 100000\n93269 100000\n28824 43319\n93747 100000\n14366 21638\n50121 75249\n35869 53917\n89665 100000\n91637 100000\n94306 100000\n45425 68203\n74715 100000\n88394 100000\n1785 2710\n34083 51259\n77115 100000\n84127 100000\n91145 100000\n35533 53413\n42193 63366\n68007 100000\n94399 100000\n69301 100000\n43382 65152\n7104 10704\n18006 27094\n12915 19456\n70551 100000\n74065 100000\n64544 96837\n63893 95873\n39550 59437\n25770 38738\n22378 33655\n57697 86597\n10902 16414\n41181 61850\n37634 56588\n58252 87433\n30418 45708\n76342 100000\n54783 82227\n34810 52341\n1055 1595\n37958 57067\n92935 100000\n87351 100000\n39779 59767\n5511 8275\n29858 44869\n89159 100000\n69817 100000\n65991 98989\n21370 32144\n33577 50493\n27009 40583\n73957 100000\n20922 31487\n22544 33904\n49646 74555\n63994 96019\n15719 23620\n66844 100000\n1907 2885\n61622 92492\n18211 27407\n6137 9213\n73616 100000\n79523 100000\n62303 93514\n83313 100000\n20017 30113\n44879 67365\n33025 49681\n84083 100000\n74364 100000\n74289 100000\n87760 100000\n75080 100000\n71999 100000\n10922 16447\n92061 100000\n3617 5422\n95071 100000\n47033 70613\n80381 100000\n40917 61462\n57670 86553\n76668 100000\n64037 96084\n97311 100000\n59319 89055\n62741 94176\n52569 78916\n50285 75497\n82611 100000\n13535 20374\n77157 100000\n21421 32220\n83685 100000\n47573 71413\n40004 60100\n29656 44565\n3924 5890\n6537 9828\n72753 100000\n2426 3665\n77345 100000\n55910 83918\n45644 68523\n35681 53635\n65364 98044\n17896 26927\n78507 100000\n79639 100000\n97341 100000\n19907 29940\n87525 100000\n77652 100000\n80142 100000\n54671 82053\n91087 100000\n54651 82022\n22211 33411\n59588 89450\n99555 100000\n21535 32381\n12681 19098\n31428 47259\n61610 92474\n15729 23632\n15061 22675\n91292 100000\n33932 51026\n28667 43078\n81186 100000\n78348 100000\n63122 94748\n98767 100000\n82461 100000\n78726 100000\n55902 83906\n12443 18751\n66833 100000\n70572 100000\n66141 99225\n80332 100000\n19452 29257\n40203 60400\n13705 20626\n23440 35249\n42271 63485\n53194 79836\n38382 57707\n58328 87555\n14937 22484\n93338 100000\n86259 100000\n43660 65569\n58981 88539\n41961 63028\n59883 89892\n77256 100000\n69973 100000\n94602 100000\n92841 100000\n83181 100000\n64789 97207\n42627 64033\n5092 7642\n80562 100000\n79868 100000\n93042 100000\n88836 100000\n58076 87166\n98572 100000\n23326 35077\n5019 7533\n54079 81163\n83868 100000\n50106 75227\n92643 100000\n20039 30146\n21762 32736\n48069 72187\n2334 3527\n54861 82336\n78679 100000\n4877 7320\n26375 39639\n46222 69398\n45554 68395\n67020 100000\n24856 37380\n12088 18231\n44645 67014\n49875 74894\n56847 85317\n73273 100000\n55587 83432\n78645 100000\n49003 73586\n24143 36314\n41027 61623\n54073 81155\n96312 100000\n62423 93695\n73326 100000\n51246 76925\n4300 6453\n37178 55905\n2861 4321\n53568 80393\n1484 2238\n81342 100000\n17446 26236\n25683 38607\n30115 45248\n54901 82399\n14529 21881\n81351 100000\n21404 32195\n79278 100000\n76849 100000\n8452 12742\n2088 3146\n36239 54495\n90921 100000\n32645 49113\n93624 100000\n19022 28624\n15282 22983\n85714 100000\n72397 100000\n11178 16832\n49077 73701\n78986 100000\n96958 100000\n2553 3853\n10318 15549\n11568 17432\n14485 21815\n9295 14004\n58094 87198\n34460 51810\n40559 60923\n42481 63806\n6806 10241\n78338 100000\n92336 100000\n38957 58573\n67814 100000\n26391 39660\n30605 45998\n46397 69665\n10647 16034\n75320 100000\n706 1074\n27179 40841\n52363 78612\n66845 100000\n22756 34226\n69332 100000\n5452 8190\n29727 44681\n79291 100000\n98512 100000\n88139 100000\n49328 74078\n13717 20645\n40045 60160\n36830 55376\n93643 100000\n90370 100000\n69684 100000\n29849 44854\n37154 55871\n60117 90242\n97945 100000\n17391 26160\n71926 100000\n68822 100000\n14265 21476\n8938 13462\n50742 76171\n31720 47702\n63006 94573\n30712 46165\n29140 43789\n74738 100000\n27658 41568\n86375 100000\n11982 18069\n78195 100000\n8158 12292\n39824 59833\n98543 100000\n11914 17965\n40562 60928\n80094 100000\n46936 70472\n41089 61716\n53392 80135\n25637 38540\n6673 10032\n71506 100000\n8150 12281\n94716 100000\n86885 100000\n237 351\n91643 100000\n10511 15837\n19100 28739\n84742 100000\n72653 100000\n79861 100000\n56089 84187\n55437 83205\n66198 99310\n40933 61488\n48881 73407\n22736 34193\n85381 100000\n57443 86208\n55315 83027\n56275 84468\n74836 100000\n43483 65302\n56078 84174\n28446 42742\n10769 16217\n3043 4591\n56529 84830\n21066 31693\n19610 29486\n41446 62251\n40387 60667\n62043 93123\n34065 51229\n81616 100000\n87917 100000\n54705 82105\n86943 100000\n29636 44535\n57762 86695\n57607 86458\n84378 100000\n31149 46833\n44428 66695\n65144 97722\n5496 8255\n97816 100000\n69826 100000\n33191 49927\n55035 82599\n28403 42679\n83541 100000\n43493 65317\n9460 14254\n17246 25930\n67589 100000\n57164 85798\n63896 95878\n35540 53423\n19222 28912\n84412 100000\n91876 100000\n30366 45626\n32304 48593\n6144 9225\n4798 7199\n37033 55690\n37057 55725\n43956 66012\n49700 74627\n34599 52009\n67069 100000\n46313 69538\n76041 100000\n22233 33443\n70345 100000\n25712 38651\n9005 13567\n24690 37132\n11948 18018\n5614 8429\n2425 3663\n26849 40349\n63123 94749\n73585 100000\n48799 73288\n6864 10326\n84248 100000\n96615 100000\n13924 20967\n99847 100000\n97840 100000\n97565 100000\n72179 100000\n47456 71245\n32266 48539\n56701 85077\n76652 100000\n92163 100000\n86973 100000\n59737 89680\n55840 83815\n16550 24884\n29019 43609\n91805 100000\n63490 95278\n95297 100000\n83134 100000\n89279 100000\n96706 100000\n12990 19568\n49772 74742\n42054 63161\n65954 98932\n53282 79965\n77757 100000\n39658 59598\n3718 5578\n93597 100000\n52506 78825\n52453 78747\n9382 14139\n80123 100000\n64107 96186\n20190 30372\n22155 33330\n52032 78110\n89700 100000\n82176 100000\n37325 56131\n72036 100000\n36964 55585\n77980 100000\n35408 53224\n31887 47950\n94572 100000\n73897 100000\n5234 7863\n26669 40066\n11759 17735\n76540 100000\n73669 100000\n64920 97396\n35839 53874\n91586 100000\n40744 61205\n93031 100000\n95490 100000\n89229 100000\n93851 100000\n46065 69160\n66277 99432\n8795 13248\n64351 96544\n23615 35518\n47832 71807\n99623 100000\n80477 100000\n22164 33342\n29118 43758\n83736 100000\n87178 100000\n87993 100000\n49811 74794\n74922 100000\n30947 46521\n66520 99794\n67024 100000\n56404 84651\n78406 100000\n72294 100000\n29933 44978\n41766 62733\n25662 38576\n2676 4041\n39698 59658\n10346 15594\n51589 77434\n64668 97024\n54484 81775\n27253 40955\n88633 100000\n3898 5847\n18820 28321\n94870 100000\n29119 43759\n22753 34220\n96424 100000\n96474 100000\n94695 100000\n91484 100000\n1446 2178\n61514 92337\n85826 100000\n97291 100000\n70698 100000\n68393 100000\n54343 81573\n41440 62242\n74730 100000\n67161 100000\n17646 26544\n5876 8821\n81831 100000\n1839 2788\n52276 78479\n63515 95318\n96037 100000\n69124 100000\n29341 44095\n22194 33387\n58671 88066\n30623 46026\n43148 64790\n72647 100000\n97512 100000\n80632 100000\n70164 100000\n97290 100000\n29258 43968\n77416 100000\n20837 31358\n69261 100000\n24630 37041\n21713 32663\n27528 41371\n51779 77719\n47148 70775\n40601 60991\n55715 83629\n98846 100000\n54963 82491\n96417 100000\n83115 100000\n64748 97143\n18046 27157\n46747 70181\n73494 100000\n9877 14867\n75889 100000\n53563 80386\n82407 100000\n81971 100000\n64680 97041\n45579 68432\n7792 11745\n29631 44527\n74365 100000\n22073 33203\n28081 42190\n13376 20143\n17232 25911\n25764 38729\n69521 100000\n84209 100000\n39319 59102\n65290 97937\n46173 69325\n41693 62626\n95870 100000\n6211 9320\n87601 100000\n53743 80655\n50755 76189\n38494 57881\n20985 31577\n64157 96260\n42859 64371\n56437 84698\n44825 67287\n98565 100000\n72023 100000\n89283 100000\n50274 75482\n32562 48980\n54670 82051\n20767 31249\n57729 86647\n79455 100000\n7212 10866\n36908 55502\n52386 78649\n78123 100000\n86952 100000\n54321 81546\n76695 100000\n24734 37200\n79683 100000\n32467 48837\n68830 100000\n60958 91512\n66553 99844\n34219 51460\n26056 39154\n64924 97401\n43631 65527\n4837 7262\n66809 100000\n89836 100000\n39807 59807\n14939 22487\n38294 57574\n77377 100000\n29395 44175\n91460 100000\n56070 84164\n10131 15257\n43137 64773\n82851 100000\n15478 23271\n3952 5934\n66498 99761\n67815 100000\n91920 100000\n66206 99322\n4054 6093\n31026 46643\n13215 19898\n45111 67722\n7387 11127\n89 132\n37345 56157\n6134 9208\n7376 11112\n85029 100000\n3469 5209\n23356 35124\n56227 84394\n91272 100000\n10402 15674\n98877 100000\n52300 78513\n81522 100000\n63216 94885\n76688 100000\n30726 46190\n15289 22994\n99287 100000\n87237 100000\n15490 23289\n14615 22008\n3633 5447\n83449 100000\n1443 2173\n95133 100000\n27572 41436\n21799 32791\n84126 100000\n59946 89989\n92840 100000\n38822 58370\n71989 100000\n89352 100000\n90389 100000\n6369 9572\n30096 45220\n54973 82506\n41820 62817\n26747 40190\n15772 23700\n81845 100000\n92500 100000\n46404 69676\n41524 62375\n39436 59272\n54687 82077\n81374 100000\n13871 20888\n88499 100000\n35920 53996\n2825 4265\n80384 100000\n1783 2707\n9075 13665\n13540 20382\n80567 100000\n85048 100000\n29659 44571\n84043 100000\n95173 100000\n60985 91556\n81640 100000\n25394 38178\n18347 27609\n80169 100000\n63848 95811\n71885 100000\n68201 100000\n17484 26295\n43852 65860\n4823 7240\n48786 73267\n14379 21658\n26279 39492\n28409 42687\n61019 91603\n46474 69785\n44809 67261\n11535 17381\n95336 100000\n28799 43277\n78031 100000\n24129 36292\n40843 61349\n65261 97899\n77041 100000\n66686 100000\n4490 6736\n28959 43521\n40815 61310\n37580 56509\n23780 35777\n44217 66394\n35131 52811\n17581 26444\n62947 94482\n80193 100000\n93470 100000\n30664 46087\n13538 20378\n5058 7591\n86433 100000\n45597 68457\n72481 100000\n69508 100000\n24689 37130\n47525 71344\n81093 100000\n2827 4267\n56913 85411\n63569 95407\n19195 28877\n57117 85725\n77891 100000\n63243 94924\n14830 22333\n61333 92064\n29071 43688\n72373 100000\n1596 2411\n9437 14222\n10807 16273\n62688 94094\n7291 10987\n3907 5862\n94057 100000\n18799 28289\n80756 100000\n92118 100000\n53576 80406\n33157 49879\n62635 94013\n74460 100000\n73741 100000\n10243 15429\n12250 18456\n33035 49694\n20138 30296\n96908 100000\n27679 41598\n23761 35747\n45066 67659\n69150 100000\n47063 70654\n52384 78647\n19141 28795\n61908 92925\n26504 39825\n25109 37758\n93710 100000\n24400 36692\n78724 100000\n46668 70064\n13487 20303\n83899 100000\n97860 100000\n40882 61410\n46909 70435\n18696 28131\n78911 100000\n10706 16123\n66837 100000\n72028 100000\n90637 100000\n48927 73473\n49037 73639\n54988 82531\n49486 74311\n7323 11031\n19281 29002\n88085 100000\n24546 36916\n7798 11753\n16673 25072\n88721 100000\n19909 29943\n63416 95175\n83409 100000\n17980 27055\n65893 98840\n32343 48652\n84635 100000\n16687 25093\n87000 100000\n7838 11809\n14321 21569\n6474 9735\n97199 100000\n23064 34680\n16878 25373\n43108 64731\n12179 18355\n54868 82347\n38895 58477\n4314 6470\n71171 100000\n69623 100000\n39399 59221\n91391 100000\n97147 100000\n34169 51386\n46651 70038\n85394 100000\n70174 100000\n20187 30368\n3986 5987\n30434 45733\n17961 27023\n66101 99161\n41639 62549\n24771 37252\n49797 74776\n67654 100000\n18879 28410\n79529 100000\n74063 100000\n94775 100000\n75273 100000\n49590 74472\n62978 94526\n87510 100000\n25077 37709\n7944 11970\n11014 16585\n77409 100000\n30931 46494\n56321 84533\n6757 10164\n18161 27329\n8211 12375\n71287 100000\n76478 100000\n56328 84540\n90088 100000\n94466 100000\n76942 100000\n28421 42703\n16750 25182\n58039 87110\n25395 38180\n61487 92297\n89206 100000\n78181 100000\n50416 75690\n88794 100000\n56608 84942\n92013 100000\n19782 29750\n7683 11581\n62326 93547\n41776 62746\n96496 100000\n60104 90222\n75668 100000\n69977 100000\n69912 100000\n63589 95435\n69796 100000\n67491 100000\n61412 92178\n58985 88545\n84700 100000\n9769 14713\n98662 100000\n94812 100000\n78834 100000\n19486 29309\n84152 100000\n59348 89101\n92506 100000\n46832 70316\n93909 100000\n94818 100000\n35778 53782\n80839 100000\n31198 46908\n46540 69880\n9544 14377\n14530 21883\n62114 93230\n3828 5746\n32484 48859\n78021 100000\n93680 100000\n75092 100000\n77846 100000\n61173 91827\n41165 61824\n31828 47862\n8882 13374\n53317 80019\n69900 100000\n81139 100000\n46770 70218\n24395 36683\n44223 66401\n73411 100000\n47304 71010\n68544 100000\n99536 100000\n15464 23249\n74245 100000\n94220 100000\n53548 80367\n3659 5490\n70195 100000\n81293 100000\n21422 32222\n71075 100000\n16501 24806\n16731 25155\n92272 100000\n92190 100000\n85524 100000\n71073 100000\n18352 27616\n68867 100000\n71374 100000\n93578 100000\n13790 20758\n8189 12339\n70285 100000\n33868 50928\n21130 31785\n68322 100000\n63799 95734\n57490 86280\n38310 57600\n91493 100000\n55951 83980\n45663 68553\n72079 100000\n84388 100000\n94024 100000\n70089 100000\n71759 100000\n84773 100000\n10888 16396\n62424 93697\n16976 25528\n17547 26394\n13799 20773\n58849 88343\n43384 65154\n64772 97178\n16305 24516\n25461 38285\n61871 92868\n37922 57016\n48856 73372\n27799 41782\n25558 38416\n43229 64914\n92288 100000\n17773 26740\n67674 100000\n48403 72699\n69151 100000\n81497 100000\n6225 9338\n14007 21088\n18188 27370\n4625 6939\n4040 6072\n93021 100000\n66641 99976\n11369 17119\n46338 69579\n46180 69337\n81338 100000\n47043 70627\n23176 34852\n17404 26179\n17621 26507\n14264 21474\n64495 96761\n94481 100000\n79537 100000\n49554 74414\n76844 100000\n42045 63148\n71820 100000\n43729 65671\n86475 100000\n99403 100000\n25459 38282\n63904 95888\n98411 100000\n90953 100000\n32922 49528\n96064 100000\n65223 97839\n6316 9481\n76899 100000\n95323 100000\n45448 68237\n49269 73991\n82622 100000\n44262 66453\n88611 100000\n99201 100000\n35283 53040\n31282 47036\n38447 57810\n35186 52894\n35229 52958\n29663 44577\n32888 49476\n85495 100000\n21416 32213\n33399 50227\n59722 89656\n53607 80451\n99282 100000\n25045 37662\n47039 70623\n34030 51180\n79744 100000\n12934 19485\n11752 17725\n21275 32009\n27187 40854\n51566 77400\n37491 56376\n81628 100000\n34973 52580\n82880 100000\n40587 60968\n57129 85741\n49168 73838\n59557 89406\n8401 12665\n22081 33216\n72782 100000\n91979 100000\n66601 99915\n66037 99061\n95843 100000\n39728 59700\n66391 99603\n10915 16436\n15141 22787\n33235 49989\n70261 100000\n51059 76642\n14145 21288\n38485 57869\n75939 100000\n8224 12396\n54567 81900\n32533 48938\n35185 52893\n28499 42821\n16905 25417\n98323 100000\n48057 72167\n60208 90369\n5100 7652\n41295 62023\n89194 100000\n5089 7637\n97272 100000\n38902 58488\n94635 100000\n55601 83453\n70683 100000\n24909 37457\n49635 74539\n49201 73887\n16846 25324\n61682 92585\n93911 100000\n71315 100000\n77127 100000\n40259 60477\n57402 86147\n2 3\n73604 100000\n89853 100000\n75432 100000\n8770 13209\n66248 99388\n37611 56553\n68285 100000\n48085 72209\n2717 4105\n48074 72194\n75682 100000\n63033 94611\n11685 17618\n27057 40661\n2892 4369\n52286 78494\n86707 100000\n54135 81254\n78387 100000\n73529 100000\n19431 29225\n74685 100000\n34304 51579\n96307 100000\n13903 20934\n20930 31498\n14137 21274\n3708 5562\n49399 74181\n22139 33305\n94227 100000\n33891 50963\n25267 37990\n95779 100000\n77106 100000\n69312 100000\n2625 3967\n50684 76084\n2420 3657\n7237 10904\n55552 83382\n97829 100000\n94774 100000\n91019 100000\n92740 100000\n64072 96137\n44299 66513\n68953 100000\n99779 100000\n98430 100000\n32545 48954\n31066 46703\n83246 100000\n5321 8001\n84855 100000\n93754 100000\n15835 23797\n91103 100000\n75802 100000\n90590 100000\n10594 15952\n85595 100000\n27618 41505\n86922 100000\n76141 100000\n63731 95635\n86545 100000\n5586 8383\n17131 25759\n53987 81029\n29758 44724\n8387 12645\n36087 54255\n64163 96268\n94031 100000\n28144 42284\n59541 89381\n44976 67524\n34631 52057\n33811 50842\n71010 100000\n73114 100000\n16735 25161\n36148 54345\n71391 100000\n14278 21496\n26265 39472\n73006 100000\n52496 78810\n66816 100000\n51755 77684\n40042 60154\n91083 100000\n30177 45347\n23656 35584\n35801 53816\n63641 95508\n23328 35079\n49270 73992\n79076 100000\n47861 71850\n82917 100000\n27517 41355\n14354 21619\n91241 100000\n68353 100000\n84495 100000\n33858 50913\n41918 62967\n56922 85423\n24821 37324\n84775 100000\n82370 100000\n20405 30704\n24860 37386\n67266 100000\n6443 9691\n33749 50752\n90876 100000\n67801 100000\n17853 26860\n81493 100000\n38486 57870\n35579 53482\n52282 78487\n3917 5879\n64202 96327\n42885 64407\n65738 98603\n22483 33818\n81761 100000\n34985 52599\n61180 91838\n47499 71307\n27540 41390\n34270 51533\n13726 20659\n98956 100000\n27630 41527\n27747 41702\n46976 70527\n22069 33196\n84199 100000\n12859 19369\n42813 64303\n10074 15171\n11187 16845\n11461 17267\n61580 92431\n73685 100000\n1482 2234\n18804 28297\n99913 100000\n82155 100000\n53784 80721\n11652 17566\n69503 100000\n62190 93340\n5261 7904\n60827 91311\n93505 100000\n24509 36859\n58091 87193\n12336 18589\n9337 14070\n37463 56334\n65088 97635\n33029 49686\n75317 100000\n45832 68811\n8327 12550\n52782 79228\n87017 100000\n22546 33907\n89798 100000\n362 543\n9189 13838\n58272 87464\n84666 100000\n31212 46930\n56826 85281\n52847 79324\n60650 91039\n16536 24861\n12495 18823\n56180 84321\n96876 100000\n90279 100000\n2626 3969\n5880 8827\n50699 76106\n37737 56748\n41700 62637\n60071 90171\n67382 100000\n21011 31614\n20368 30649\n72384 100000\n11878 17912\n24098 36244\n28194 42356\n17388 26155\n24296 36539\n34765 52272\n29105 43737\n75561 100000\n30256 45463\n61913 92932\n68615 100000\n49756 74716\n30793 46280\n28384 42649\n18486 27817\n26522 39849\n97365 100000\n18080 27207\n18225 27428\n55668 83555\n92045 100000\n12201 18385\n56645 84996\n10275 15480\n28423 42706\n38847 58407\n65829 98741\n43850 65857\n19400 29181\n33435 50281\n44106 66234\n82687 100000\n35760 53757\n55055 82625\n68348 100000\n43908 65938\n38378 57701\n68281 100000\n90989 100000\n66102 99163\n14217 21406\n18922 28470\n21680 32612\n52407 78682\n61528 92360\n27296 41022\n62371 93613\n12746 19200\n31785 47798\n607 925\n88192 100000\n56679 85045\n73405 100000\n44896 67391\n12490 18815\n67602 100000\n84725 100000\n34399 51720\n52874 79362\n27033 40621\n83695 100000\n45358 68103\n27688 41614\n95378 100000\n41901 62940\n89265 100000\n23362 35133\n51015 76577\n90922 100000\n87439 100000\n6615 9940\n55546 83374\n25516 38358\n44201 66372\n83189 100000\n73947 100000\n58370 87618\n9228 13897\n58596 87957\n10242 15427\n95862 100000\n48624 73032\n23169 34842\n73757 100000\n62982 94533\n30453 45762\n61095 91715\n23829 35854\n39733 59708\n46972 70521\n77520 100000\n82013 100000\n62852 94345\n429 646\n8859 13340\n84214 100000\n88580 100000\n63695 95588\n77783 100000\n4975 7464\n31475 47334\n28838 43340\n14648 22056\n55361 83092\n19152 28811\n46818 70293\n53124 79731\n39401 59223\n91044 100000\n1442 2172\n63538 95354\n12128 18287\n62405 93668\n62035 93112\n84951 100000\n42242 63441\n56935 85445\n97986 100000\n38892 58472\n67772 100000\n52776 79222\n20596 30993\n12182 18360\n80518 100000\n26866 40374\n4426 6642\n972 1472\n21067 31694\n68780 100000\n63532 95344\n6056 9090\n45407 68178\n29594 44477\n73754 100000\n24440 36748\n60427 90701\n65468 98204\n24249 36471\n59941 89982\n48096 72228\n97263 100000\n34486 51847\n95347 100000\n10557 15898\n5572 8361\n95137 100000\n83975 100000\n81165 100000\n8910 13422\n48532 72898\n76710 100000\n19990 30070\n4662 6997\n79041 100000\n20205 30393\n1686 2549\n80030 100000\n47989 72058\n68235 100000\n2590 3909\n57104 85707\n36845 55401\n31755 47754\n4299 6451\n84555 100000\n59170 88822\n21367 32141\n19759 29713\n97336 100000\n65192 97798\n99797 100000\n61623 92493\n37804 56842\n7198 10847\n5767 8649\n55802 83762\n10794 16255\n3902 5853\n28042 42134\n54771 82206\n61573 92422\n96937 100000\n75705 100000\n33904 50983\n57739 86661\n76285 100000\n81589 100000\n91453 100000\n39771 59757\n8003 12061\n18254 27470\n93053 100000\n25875 38896\n5587 8385\n80499 100000\n96343 100000\n33886 50957\n33065 49741\n27367 41127\n94821 100000\n82192 100000\n62110 93224\n36583 55012\n26955 40501\n19656 29555\n70259 100000\n19906 29938\n68511 100000\n31800 47821\n30422 45714\n97960 100000\n1918 2900\n91415 100000\n45751 68686\n93832 100000\n64599 96921\n44053 66156\n83109 100000\n50103 75222\n50213 75394\n1745 2646\n84623 100000\n60099 90214\n37914 57006\n27247 40945\n96694 100000\n94621 100000\n9293 14000\n19027 28631\n92774 100000\n18419 27715\n77382 100000\n13526 20360\n54908 82407\n28068 42174\n9832 14797\n21544 32394\n61510 92330\n49842 74839\n75472 100000\n39980 60064\n15131 22773\n60277 90479\n22416 33713\n56591 84920\n51054 76635\n37507 56401\n91468 100000\n48814 73308\n38654 58115\n49226 73924\n18180 27356\n35174 52874\n32003 48127\n87579 100000\n60575 90921\n91974 100000\n53763 80687\n48296 72538\n60097 90210\n67460 100000\n2104 3173\n23753 35736\n50630 76003\n14438 21746\n17990 27070\n4308 6464\n96892 100000\n32810 49359\n65482 98225\n49654 74566\n68532 100000\n17452 26246\n83439 100000\n62958 94496\n42815 64305\n71447 100000\n5063 7599\n89130 100000\n58329 87557\n14550 21911\n45612 68480\n42284 63506\n684 1041\n35812 53833\n87170 100000\n69550 100000\n95736 100000\n95357 100000\n55605 83460\n20618 31023\n29552 44411\n16882 25380\n73537 100000\n64780 97193\n69588 100000\n83772 100000\n23040 34644\n81303 100000\n65236 97860\n60378 90629\n9698 14608\n5836 8758\n30388 45663\n764 1161\n23738 35714\n17125 25749\n26331 39571\n85540 100000\n58579 87933\n73732 100000\n35827 53855\n91408 100000\n39796 59790\n30610 46008\n64989 97491\n52654 79043\n83042 100000\n87880 100000\n94783 100000\n20914 31474\n85857 100000\n11604 17489\n12657 19062\n60354 90593\n35249 52985\n91060 100000\n1800 2732\n53237 79899\n40110 60260\n12857 19366\n7222 10881\n42664 64085\n30006 45084\n92141 100000\n30474 45794\n10763 16209\n46488 69804\n15197 22862\n51594 77442\n45813 68781\n85827 100000\n76674 100000\n30009 45089\n62342 93569\n69626 100000\n30647 46062\n82551 100000\n84835 100000\n21543 32393\n71161 100000\n19594 29465\n3329 5012\n54990 82533\n80634 100000\n66153 99245\n92721 100000\n63276 94969\n11475 17292\n97964 100000\n32908 49504\n66591 99899\n79858 100000\n84422 100000\n6309 9469\n32846 49413\n44235 66417\n16319 24535\n3844 5768\n71260 100000\n88619 100000\n95982 100000\n54520 81829\n34052 51210\n30458 45770\n69689 100000\n96482 100000\n56143 84264\n52267 78467\n203 301\n21756 32726\n28085 42195\n42574 63946\n14611 22002\n45889 68899\n35266 53013\n24572 36952\n35796 53808\n85789 100000\n25279 38010\n41729 62678\n73268 100000\n34132 51330\n74235 100000\n27538 41388\n2542 3836\n93879 100000\n48236 72443\n63571 95409\n87037 100000\n80901 100000\n12513 18850\n25968 39029\n23372 35150\n64655 97005\n3103 4684\n69304 100000\n93934 100000\n84940 100000\n2575 3888\n76343 100000\n40035 60146\n18585 27960\n17376 26138\n20016 30112\n6963 10479\n27069 40678\n3027 4569\n4693 7042\n77967 100000\n3294 4960\n98026 100000\n66614 99934\n44380 66627\n67884 100000\n38710 58197\n23067 34686\n86363 100000\n13809 20786\n32162 48372\n11427 17212\n91350 100000\n3891 5838\n2694 4069\n82274 100000\n94921 100000\n9331 14061\n62017 93086\n82956 100000\n54653 82025\n89959 100000\n14738 22193\n13117 19754\n41724 62671\n56299 84499\n58085 87182\n49344 74101\n32326 48627\n48602 73001\n7770 11718\n38289 57567\n52307 78525\n54133 81251\n80468 100000\n21380 32159\n78027 100000\n44660 67037\n32840 49403\n76502 100000\n29129 43775\n55799 83758\n44759 67186\n82454 100000\n18151 27316\n76076 100000\n55005 82556\n92952 100000\n9021 13587\n28619 43011\n81111 100000\n51646 77520\n73615 100000\n68686 100000\n53581 80412\n69349 100000\n28349 42595\n10624 16000\n25614 38503\n50452 75744\n35679 53632\n28022 42109\n28080 42188\n14518 21866\n25493 38325\n97610 100000\n15866 23847\n56165 84297\n83011 100000\n75524 100000\n95495 100000\n13609 20485\n76852 100000\n34616 52036\n27497 41324\n98292 100000\n37942 57045\n50584 75936\n86763 100000\n6913 10402\n39802 59800\n85182 100000\n720 1094\n70872 100000\n43052 64650\n58564 87909\n521 791\n22897 34436\n1875 2840\n43821 65810\n74948 100000\n28697 43122\n1659 2511\n64400 96617\n64368 96570\n76365 100000\n1054 1594\n27945 41997\n30070 45180\n94226 100000\n87340 100000\n45038 67618\n88426 100000\n73172 100000\n72277 100000\n97940 100000\n25152 37820\n46481 69795\n4226 6338\n82288 100000\n31139 46818\n31270 47018\n90618 100000\n25525 38368\n9652 14542\n14458 21773\n82492 100000\n82801 100000\n74649 100000\n92868 100000\n97214 100000\n99160 100000\n53637 80496\n31385 47194\n36757 55270\n48788 73271\n22456 33777\n83567 100000\n86645 100000\n61675 92575\n40832 61336\n90986 100000\n30612 46011\n23961 36049\n53851 80826\n13948 21005\n24194 36388\n7595 11451\n17867 26884\n39195 58911\n74750 100000\n30688 46128\n91560 100000\n28768 43229\n70815 100000\n22655 34077\n67302 100000\n38812 58353\n64781 97195\n71887 100000\n39834 59850\n56980 85513\n98391 100000\n75212 100000\n36736 55238\n69533 100000\n27584 41456\n28431 42720\n29505 44340\n13509 20333\n3191 4817\n14360 21627\n46471 69780\n96572 100000\n6618 9945\n34297 51570\n11435 17224\n41033 61633\n83550 100000\n95181 100000\n74762 100000\n61225 91909\n79171 100000\n12275 18495\n89399 100000\n17677 26590\n84256 100000\n58216 87375\n97276 100000\n38041 57188\n88627 100000\n87387 100000\n32553 48965\n64860 97312\n31306 47071\n78523 100000\n36065 54220\n38109 57288\n62749 94188\n68537 100000\n36142 54335\n96978 100000\n96856 100000\n90688 100000\n92704 100000\n62164 93305\n76081 100000\n98615 100000\n37372 56199\n16377 24623\n95654 100000\n51914 77930\n36658 55127\n26617 39986\n73361 100000\n63531 95342\n9458 14251\n21612 32506\n16498 24801\n26920 40452\n2396 3624\n22197 33392\n68762 100000\n74726 100000\n98952 100000\n81053 100000\n38270 57537\n92397 100000\n52389 78653\n75656 100000\n47040 70624\n49307 74046\n62087 93187\n38588 58019\n63735 95641\n52255 78445\n51061 76644\n81906 100000\n70940 100000\n88621 100000\n38381 57706\n8456 12747\n31395 47211\n76385 100000\n84816 100000\n68564 100000\n82843 100000\n23111 34757\n64139 96236\n31019 46631\n29856 44865\n82672 100000\n66556 99850\n35476 53328\n15654 23530\n20311 30562\n6683 10049\n338 507\n1977 2986\n79521 100000\n79748 100000\n41807 62798\n61775 92724\n4110 6169\n43319 65058\n65760 98636\n67070 100000\n21692 32630\n15295 23003\n68826 100000\n91624 100000\n11852 17872\n69263 100000\n40455 60767\n82811 100000\n91458 100000\n40900 61437\n52665 79060\n8953 13486\n78665 100000\n9566 14408\n89141 100000\n15912 23916\n27762 41725\n87820 100000\n60614 90981\n64982 97481\n84292 100000\n61401 92160\n63476 95259\n33893 50967\n59559 89409\n69532 100000\n81653 100000\n41454 62264\n83991 100000\n87715 100000\n36881 55459\n8249 12435\n46452 69750\n48172 72345\n78064 100000\n83113 100000\n1193 1802\n98494 100000\n56574 84894\n97409 100000\n7892 11890\n4403 6608\n63458 95232\n79464 100000\n80787 100000\n33662 50619\n60220 90388\n97061 100000\n95077 100000\n92792 100000\n18360 27628\n7377 11113\n24722 37180\n54374 81614\n644 978\n49887 74913\n43094 64710\n67361 100000\n42727 64179\n43221 64899\n51548 77374\n44151 66306\n74101 100000\n31822 47854\n62053 93139\n83156 100000\n94878 100000\n29456 44265\n32579 49011\n29194 43874\n56458 84724\n44004 66080\n32534 48939\n75271 100000\n30836 46348\n92558 100000\n76667 100000\n29308 44048\n98484 100000\n22063 33188\n82197 100000\n41017 61606\n48983 73556\n96014 100000\n77125 100000\n54833 82297\n72518 100000\n64609 96935\n33023 49678\n57978 87017\n35345 53134\n45190 67839\n68188 100000\n31280 47033\n21861 32886\n69125 100000\n1886 2856\n89885 100000\n91887 100000\n44466 66750\n98511 100000\n34584 51987\n61215 91892\n42359 63621\n63384 95125\n8472 12771\n10560 15902\n43846 65850\n80600 100000\n99614 100000\n54196 81344\n20491 30837\n42684 64116\n77626 100000\n90532 100000\n94312 100000\n3558 5336\n31381 47188\n66619 99943\n94966 100000\n59405 89188\n75935 100000\n90540 100000\n61494 92306\n57784 86729\n52663 79057\n48179 72354\n73533 100000\n65739 98605\n84435 100000\n10452 15753\n12762 19222\n65351 98026\n41404 62187\n63611 95465\n98911 100000\n70206 100000\n67535 100000\n80636 100000\n58363 87606\n91072 100000\n3826 5743\n61879 92880\n35297 53061\n59100 88717\n16533 24856\n94204 100000\n44186 66353\n23948 36035\n8860 13341\n31193 46900\n23376 35157\n47933 71970\n14373 21649\n65918 98874\n38791 58324\n59342 89093\n59943 89984\n53752 80670\n18914 28458\n18816 28314\n82792 100000\n96649 100000\n22181 33367\n54738 82153\n53077 79663\n58769 88220\n26954 40500\n16630 25005\n9377 14133\n93935 100000\n86506 100000\n16655 25043\n92404 100000\n56058 84146\n82399 100000\n9463 14258\n24520 36874\n52664 79059\n46967 70515\n8831 13304\n45440 68225\n79812 100000\n99496 100000\n9039 13613\n45249 67935\n67135 100000\n43836 65834\n56008 84069\n56800 85241\n55062 82635\n87373 100000\n29510 44346\n12664 19073\n78122 100000\n24080 36216\n22036 33146\n74813 100000\n73060 100000\n75790 100000\n95230 100000\n71286 100000\n7592 11447\n30579 45958\n66559 99854\n16324 24544\n74577 100000\n98473 100000\n51890 77892\n92831 100000\n44149 66303\n65043 97567\n59455 89262\n28995 43576\n42246 63446\n75924 100000\n56992 85529\n18342 27600\n963 1459\n13998 21077\n83721 100000\n67735 100000\n49284 74012\n88171 100000\n33862 50920\n60026 90107\n28116 42245\n70652 100000\n45491 68303\n25228 37928\n42364 63629\n55089 82679\n57342 86060\n69789 100000\n39219 58943\n85247 100000\n42576 63949\n93318 100000\n90047 100000\n59866 89866\n34025 51174\n96009 100000\n99413 100000\n30253 45458\n78659 100000\n6127 9198\n55455 83235\n43464 65274\n29454 44263\n48941 73495\n92943 100000\n64691 97058\n57656 86533\n35541 53425\n50690 76093\n84542 100000\n49000 73582\n1181 1783\n91731 100000\n62744 94180\n81183 100000\n19046 28661\n95313 100000\n26150 39301\n7847 11820\n38187 57406\n9788 14741\n4985 7480\n82150 100000\n87956 100000\n48480 72819\n30353 45607\n78934 100000\n78680 100000\n46756 70194\n40346 60606\n33300 50083\n62711 94130\n98375 100000\n86832 100000\n68894 100000\n12776 19244\n40216 60417\n81113 100000\n4345 6521\n91091 100000\n11127 16756\n7806 11763\n88684 100000\n22039 33151\n87785 100000\n85054 100000\n4813 7223\n41010 61595\n32706 49199\n83421 100000\n37573 56499\n42319 63560\n75460 100000\n45835 68814\n61064 91672\n29981 45049\n96280 100000\n84760 100000\n90890 100000\n32495 48877\n70427 100000\n75755 100000\n48466 72797\n56014 84079\n52178 78328\n75228 100000\n76062 100000\n59524 89357\n26497 39815\n63947 95952\n36706 55196\n15488 23286\n56086 84183\n46078 69180\n37509 56404\n25896 38927\n62335 93558\n82339 100000\n12549 18902\n83147 100000\n3216 4854\n14576 21948\n11516 17353\n48681 73116\n22593 33981\n91236 100000\n49366 74133\n87926 100000\n29692 44622\n48994 73573\n86818 100000\n38952 58566\n78940 100000\n73344 100000\n76147 100000\n66165 99261\n76358 100000\n60855 91357\n48164 72335\n20146 30307\n4676 7015\n42294 63522\n98048 100000\n19874 29890\n64179 96294\n90900 100000\n43849 65856\n71971 100000\n57046 85614\n50332 75568\n22176 33360\n74721 100000\n24764 37241\n13814 20796\n37019 55670\n63277 94971\n53193 79834\n47076 70673\n50590 75946\n92819 100000\n35060 52708\n68651 100000\n3424 5149\n10930 16458\n9007 13570\n20563 30940\n88889 100000\n67835 100000\n28507 42833\n99089 100000\n51170 76811\n28891 43413\n84532 100000\n33942 51041\n94730 100000\n10992 16550\n54766 82200\n71329 100000\n10433 15727\n55736 83657\n20812 31319\n78613 100000\n13756 20706\n34713 52191\n15453 23233\n45957 68999\n21350 32115\n16937 25471\n38045 57193\n93840 100000\n63770 95695\n48628 73036\n1338 2018\n51471 77263\n2287 3455\n86346 100000\n67175 100000\n63020 94594\n24742 37212\n7094 10689\n25566 38426\n22550 33914\n78792 100000\n56730 85130\n59919 89945\n78671 100000\n60501 90812\n76984 100000\n26761 40211\n43113 64737\n33199 49938\n8700 13107\n31735 47727\n74729 100000\n1737 2632\n46587 69945\n72519 100000\n59460 89268\n44414 66674\n88357 100000\n7182 10822\n43679 65597\n32437 48791\n47066 70657\n48667 73092\n76226 100000\n62187 93337\n38137 57333\n12158 18326\n95054 100000\n41530 62383\n12323 18571\n38531 57941\n68241 100000\n61298 92013\n90843 100000\n14923 22465\n50958 76492\n8437 12719\n68376 100000\n40103 60248\n50707 76118\n43695 65620\n43998 66072\n22351 33618\n84873 100000\n97169 100000\n46886 70403\n93882 100000\n16414 24679\n66323 99497\n45614 68482\n20281 30514\n15950 23967\n9878 14868\n93056 100000\n43516 65349\n99880 100000\n62038 93117\n67871 100000\n61598 92456\n21314 32067\n22434 33742\n64818 97249\n59172 88826\n16117 24234\n57148 85773\n59392 89169\n59610 89481\n36446 54812\n3174 4790\n4825 7244\n18805 28299\n52589 78948\n96712 100000\n30476 45797\n69183 100000\n74552 100000\n73893 100000\n80301 100000\n27044 40637\n81777 100000\n57080 85668\n13760 20714\n62473 93766\n91849 100000\n38778 58306\n76679 100000\n37657 56624\n10164 15307\n51186 76835\n36813 55350\n39484 59340\n26842 40339\n45277 67978\n13977 21046\n10796 16259\n28052 42148\n80682 100000\n19695 29619\n87255 100000\n32652 49125\n57772 86708\n71888 100000\n83839 100000\n84736 100000\n47016 70588\n88188 100000\n735 1120\n89111 100000\n59750 89702\n92647 100000\n66041 99067\n99035 100000\n39617 59535\n78462 100000\n59032 88616\n43099 64719\n43033 64625\n81672 100000\n9772 14717\n86080 100000\n35264 53011\n20391 30682\n65757 98632\n24071 36205\n1207 1822\n83758 100000\n36557 54976\n72806 100000\n13565 20419\n82373 100000\n20527 30891\n76823 100000\n33440 50288\n15186 22845\n40230 60437\n6671 10029\n73520 100000\n13947 21003\n56642 84990\n95093 100000\n45480 68287\n9472 14272\n12907 19446\n80981 100000\n70315 100000\n87209 100000\n80218 100000\n8419 12693\n11294 17006\n95759 100000\n21007 31609\n59189 88851\n56102 84207\n96852 100000\n27098 40722\n90513 100000\n64740 97131\n14491 21823\n85231 100000\n79501 100000\n89755 100000\n33489 50361\n42937 64486\n37464 56335\n56525 84823\n54638 82004\n77596 100000\n66861 100000\n63189 94845\n19081 28711\n37102 55793\n31528 47412\n9248 13932\n24629 37039\n56268 84454\n93772 100000\n56803 85245\n23233 34936\n68446 100000\n50575 75924\n25929 38973\n28237 42423\n93121 100000\n37265 56038\n67831 100000\n47533 71355\n2876 4344\n15744 23653\n89880 100000\n13594 20462\n88472 100000\n6747 10149\n97874 100000\n69915 100000\n58068 87156\n22637 34049\n10371 15630\n50316 75543\n34325 51612\n49984 75053\n39186 58898\n62659 94049\n94624 100000\n5451 8189\n69467 100000\n44371 66616\n62181 93328\n50300 75518\n95778 100000\n26130 39269\n30342 45588\n7949 11978\n79306 100000\n27011 40586\n14167 21324\n60416 90684\n34085 51261\n28871 43388\n4621 6934\n11329 17059\n41114 61752\n86081 100000\n21497 32330\n12932 19482\n8967 13507\n39558 59449\n10917 16439\n4706 7061\n53967 80999\n97670 100000\n48321 72577\n21156 31826\n83018 100000\n57883 86873\n56306 84511\n36782 55306\n11902 17946\n17635 26529\n20181 30358\n31634 47576\n59258 88959\n84483 100000\n50754 76187\n72448 100000\n93770 100000\n51298 77003\n25584 38455\n34194 51423\n24714 37171\n488 734\n71620 100000\n99539 100000\n47245 70922\n66174 99273\n97586 100000\n34770 52280\n60116 90240\n78042 100000\n51125 76742\n27765 41730\n47170 70809\n99203 100000\n66631 99962\n22422 33721\n95502 100000\n12802 19283\n23686 35633\n54712 82115\n8916 13429\n24115 36270\n271 407\n34488 51849\n77173 100000\n28062 42164\n38211 57446\n73321 100000\n48915 73457\n66948 100000\n25313 38058\n81026 100000\n93331 100000\n77343 100000\n50703 76112\n76915 100000\n63286 94983\n62447 93729\n94768 100000\n51807 77760\n78087 100000\n34758 52259\n43802 65781\n60083 90191\n90162 100000\n31324 47101\n65264 97903\n50869 76353\n7632 11504\n2304 3480\n21287 32026\n79878 100000\n99449 100000\n48669 73095\n46731 70156\n67924 100000\n9174 13813\n83102 100000\n30286 45507\n56385 84624\n20152 30314\n73837 100000\n14130 21263\n39938 60000\n38442 57804\n44458 66738\n67869 100000\n73332 100000\n86293 100000\n93134 100000\n20137 30294\n81876 100000\n92008 100000\n42562 63926\n30787 46272\n85901 100000\n29368 44135\n35253 52991\n39905 59951\n65570 98352\n72346 100000\n62941 94472\n69103 100000\n95570 100000\n29639 44541\n77711 100000\n28401 42676\n52937 79461\n63941 95943\n71722 100000\n49271 73993\n87830 100000\n9298 14010\n38451 57816\n6877 10346\n51176 76820\n94019 100000\n11765 17743\n83377 100000\n47381 71127\n67537 100000\n41478 62304\n44510 66810\n49941 74993\n75082 100000\n98398 100000\n96044 100000\n47549 71381\n36936 55542\n99929 100000\n65333 98003\n36224 54471\n45487 68297\n81314 100000\n97412 100000\n37079 55760\n24605 37004\n9525 14349\n30644 46058\n31766 47769\n30175 45344\n55294 82992\n3457 5192\n55761 83697\n79530 100000\n83142 100000\n98927 100000\n3453 5186\n86408 100000\n75247 100000\n96765 100000\n72849 100000\n4817 7231\n52242 78426\n42956 64515\n10623 15999\n50012 75099\n26993 40555\n98624 100000\n75121 100000\n66882 100000\n40903 61442\n59986 90046\n64751 97147\n76531 100000\n46857 70360\n45078 67672\n23225 34925\n1321 1992\n20144 30305\n5847 8775\n95464 100000\n39765 59748\n25883 38906\n16403 24660\n51563 77396\n66157 99250\n93357 100000\n27533 41380\n50131 75264\n22784 34264\n15055 22664\n5958 8945\n15436 23208\n92060 100000\n34478 51833\n90579 100000\n92669 100000\n65545 98319\n75404 100000\n2151 3244\n5536 8310\n30386 45659\n20926 31493\n58848 88342\n18210 27406\n98376 100000\n20941 31514\n30952 46530\n36228 54478\n54943 82460\n31041 46667\n65819 98728\n49789 74765\n97295 100000\n23091 34726\n92790 100000\n64068 96129\n26366 39624\n79363 100000\n63636 95500\n66048 99079\n1516 2290\n26674 40073\n76693 100000\n80342 100000\n9875 14863\n59826 89806\n16489 24786\n24602 37000\n37064 55735\n72864 100000\n52762 79201\n64807 97234\n94497 100000\n74042 100000\n73147 100000\n3935 5907\n20604 31003\n31667 47625\n10498 15815\n45620 68492\n56541 84846\n51165 76804\n83526 100000\n82653 100000\n60257 90448\n98153 100000\n16945 25481\n95580 100000\n91143 100000\n93312 100000\n64219 96349\n51935 77960\n87165 100000\n71852 100000\n85586 100000\n21458 32280\n50957 76490\n96928 100000\n60480 90780\n5986 8983\n47746 71681\n40402 60689\n7330 11042\n35033 52665\n10078 15175\n11570 17436\n70657 100000\n63113 94736\n75915 100000\n51773 77710\n65632 98447\n25517 38359\n88009 100000\n50751 76183\n91018 100000\n43399 65178\n95745 100000\n88835 100000\n27543 41394\n86040 100000\n88903 100000\n23138 34795\n68120 100000\n91923 100000\n55614 83473\n37075 55753\n63701 95595\n63118 94742\n80161 100000\n95894 100000\n60685 91092\n46766 70211\n25245 37955\n26811 40291\n93249 100000\n55771 83712\n44589 66932\n89591 100000\n85456 100000\n33346 50149\n15462 23246\n20511 30867\n97010 100000\n1397 2106\n62217 93385\n38960 58578\n62122 93241\n74489 100000\n55007 82558\n49334 74085\n71425 100000\n41919 62969\n96819 100000\n63301 95003\n48892 73422\n96221 100000\n4962 7443\n25264 37985\n92316 100000\n22909 34452\n38642 58098\n33188 49922\n17473 26278\n3081 4649\n65671 98506\n1385 2086\n55046 82614\n57763 86696\n47970 72031\n72906 100000\n94692 100000\n8318 12536\n96916 100000\n52678 79080\n93735 100000\n30589 45973\n20001 30085\n92366 100000\n90844 100000\n41185 61855\n44872 67354\n92209 100000\n28267 42469\n69765 100000\n79741 100000\n36409 54757\n3853 5785\n26977 40531\n82856 100000\n41213 61897\n44488 66779\n98570 100000\n73806 100000\n80814 100000\n61176 91832\n74840 100000\n45551 68390\n71948 100000\n53251 79920\n72698 100000\n18408 27698\n22452 33770\n11140 16776\n36744 55250\n10105 15219\n10611 15980\n19800 29780\n77396 100000\n89310 100000\n73688 100000\n84446 100000\n73140 100000\n47075 70671\n34348 51648\n25547 38400\n16500 24804\n94257 100000\n34566 51959\n20056 30173\n92537 100000\n42116 63250\n72355 100000\n59908 89928\n80694 100000\n54514 81821\n86858 100000\n95897 100000\n18284 27514\n77261 100000\n32716 49215\n34523 51898\n51207 76863\n48808 73298\n39942 60007\n42478 63800\n65092 97641\n62577 93927\n33409 50244\n76143 100000\n11102 16715\n21863 32888\n87918 100000\n44313 66534\n7749 11686\n37261 56032\n94389 100000\n44771 67206\n51255 76936\n72051 100000\n67461 100000\n93971 100000\n89912 100000\n23724 35693\n84714 100000\n41506 62351\n90091 100000\n16474 24764\n69193 100000\n82800 100000\n14089 21201\n43182 64841\n49327 74076\n51482 77278\n63671 95554\n86332 100000\n29121 43763\n45281 67983\n21624 32526\n37779 56806\n48357 72627\n58946 88488\n93366 100000\n7321 11028\n35038 52672\n67397 100000\n81326 100000\n16893 25399\n7598 11456\n57226 85892\n75172 100000\n17869 26888\n73169 100000\n39770 59756\n49750 74705\n41266 61979\n37575 56503\n80817 100000\n39210 58930\n24980 37561\n98858 100000\n1718 2601\n42698 64137\n60446 90732\n49060 73672\n68478 100000\n87013 100000\n91884 100000\n51415 77182\n4686 7030\n28435 42726\n2679 4045\n20662 31088\n93786 100000\n84054 100000\n4805 7210\n2775 4191\n94380 100000\n31465 47317\n21521 32362\n59691 89606\n8114 12226\n78281 100000\n45148 67776\n50281 75491\n90360 100000\n79344 100000\n32280 48559\n1025 1553\n5934 8909\n42520 63865\n60671 91072\n86733 100000\n6886 10358\n38059 57210\n93514 100000\n35697 53660\n35135 52818\n74392 100000\n99661 100000\n26353 39606\n69877 100000\n23188 34869\n3258 4912\n49133 73786\n91767 100000\n8786 13233\n48344 72608\n23405 35199\n66209 99328\n72530 100000\n30960 46543\n84404 100000\n18428 27730\n77255 100000\n15989 24031\n89055 100000\n24415 36714\n4387 6583\n40158 60333\n46929 70463\n98817 100000\n96272 100000\n42362 63626\n12931 19480\n83595 100000\n92362 100000\n10801 16264\n54883 82370\n99289 100000\n30401 45682\n11994 18086\n73046 100000\n23464 35284\n25918 38957\n73828 100000\n44612 66966\n86681 100000\n55147 82775\n83021 100000\n81394 100000\n45230 67901\n56612 84949\n38479 57857\n27140 40786\n17873 26895\n69355 100000\n20358 30635\n22225 33431\n59309 89039\n65537 98306\n78500 100000\n26493 39811\n84881 100000\n98950 100000\n48626 73034\n62701 94115\n12800 19279\n14087 21199\n44200 66370\n36863 55431\n60875 91385\n89243 100000\n71344 100000\n10692 16100\n76646 100000\n4660 6995\n44663 67042\n86496 100000\n62359 93594\n24126 36288\n6082 9127\n79197 100000\n86239 100000\n86822 100000\n17745 26695\n24084 36223\n59312 89044\n55558 83392\n11828 17836\n47472 71266\n51122 76736\n52627 79001\n71100 100000\n71668 100000\n65890 98834\n94835 100000\n51831 77797\n88811 100000\n51604 77458\n37966 57077\n31988 48105\n73731 100000\n17296 26011\n45488 68299\n19395 29173\n94431 100000\n92632 100000\n74911 100000\n5967 8960\n12396 18680\n88494 100000\n82233 100000\n64500 96768\n60906 91434\n457 688\n20157 30323\n23704 35661\n88808 100000\n42161 63317\n73482 100000\n38070 57227\n11694 17632\n82835 100000\n3150 4752\n71289 100000\n22173 33355\n92334 100000\n43995 66068\n1106 1673\n86441 100000\n61206 91877\n3186 4807\n11943 18010\n27690 41618\n23547 35410\n9107 13712\n55656 83533\n56175 84313\n6221 9334\n22746 34210\n85418 100000\n13742 20684\n81969 100000\n792 1202\n85642 100000\n31929 48014\n38050 57201\n84657 100000\n93342 100000\n46219 69394\n87457 100000\n50565 75910\n85776 100000\n77349 100000\n77532 100000\n30373 45638\n51000 76553\n91875 100000\n36201 54431\n57008 85555\n97076 100000\n54606 81958\n68901 100000\n99244 100000\n1945 2938\n80225 100000\n78861 100000\n22092 33235\n16910 25426\n77745 100000\n18190 27372\n93686 100000\n83909 100000\n63273 94966\n35706 53673\n93766 100000\n59002 88572\n5185 7788\n89008 100000\n96861 100000\n9674 14572\n97891 100000\n8102 12207\n78617 100000\n26655 40044\n1480 2231\n84788 100000\n35879 53931\n17517 26348\n82083 100000\n52728 79151\n92523 100000\n577 877\n76858 100000\n73974 100000\n61527 92358\n52482 78787\n84546 100000\n64832 97268\n74475 100000\n8405 12671\n94043 100000\n39738 59714\n39829 59842\n82571 100000\n78593 100000\n6824 10269\n42293 63520\n20492 30838\n43358 65117\n60129 90260\n74185 100000\n68966 100000\n48595 72991\n62823 94302\n66778 100000\n10404 15678\n97868 100000\n18673 28095\n92341 100000\n71565 100000\n10736 16169\n68355 100000\n52088 78194\n19193 28874\n14630 22028\n74106 100000\n54586 81928\n80735 100000\n82452 100000\n54283 81485\n9831 14796\n15207 22876\n19837 29835\n48460 72787\n78599 100000\n88450 100000\n46272 69480\n18675 28097\n330 496\n76805 100000\n20365 30645\n10054 15141\n53533 80343\n37608 56548\n14627 22024\n91674 100000\n49687 74611\n26708 40125\n5625 8443\n55137 82759\n7734 11661\n56288 84483\n97989 100000\n72244 100000\n30754 46228\n82058 100000\n63412 95168\n82202 100000\n62462 93751\n14301 21535\n41189 61861\n15020 22610\n19091 28729\n42919 64459\n52118 78242\n4265 6399\n3714 5572\n38659 58123\n70221 100000\n24018 36130\n73465 100000\n52387 78650\n72253 100000\n71390 100000\n99152 100000\n75069 100000\n61337 92071\n62107 93219\n27178 40839\n12081 18219\n35321 53100\n61335 92067\n59754 89708\n36279 54559\n58892 88406\n8913 13426\n24903 37449\n7176 10812\n13646 20543\n48442 72759\n31958 48056\n3210 4844\n75608 100000\n52148 78283\n51399 77161\n56161 84291\n81714 100000\n80990 100000\n29428 44229\n12226 18419\n58868 88370\n64698 97069\n18648 28055\n47222 70888\n77494 100000\n22368 33641\n32685 49169\n26791 40258\n84591 100000\n95780 100000\n30470 45789\n17648 26548\n61393 92149\n69006 100000\n16761 25199\n81977 100000\n64401 96618\n97918 100000\n81301 100000\n31231 46960\n31316 47086\n62903 94421\n57934 86951\n66065 99107\n89432 100000\n96104 100000\n97168 100000\n4860 7296\n97136 100000\n2049 3087\n63048 94634\n97081 100000\n46902 70427\n49589 74471\n53996 81043\n57524 86331\n86731 100000\n13355 20113\n13611 20487\n94400 100000\n57827 86790\n95455 100000\n96689 100000\n23346 35110\n47781 71733\n65403 98101\n82266 100000\n4312 6468\n51340 77070\n81678 100000\n74204 100000\n78889 100000\n80622 100000\n79143 100000\n96663 100000\n75533 100000\n51295 76998\n50057 75161\n64667 97023\n99894 100000\n60279 90481\n910 1381\n11510 17345\n89098 100000\n784 1189\n28846 43352\n47906 71925\n52675 79075\n99792 100000\n8780 13223\n8658 13044\n46087 69193\n54807 82260\n78608 100000\n19332 29077\n44772 67207\n37183 55913\n58057 87137\n68961 100000\n12470 18789\n97576 100000\n43416 65203\n8682 13083\n10931 16459\n61124 91756\n25386 38167\n46502 69825\n59276 88989\n74652 100000\n96214 100000\n72478 100000\n61289 92001\n24708 37161\n9200 13855\n4991 7490\n48523 72886\n90466 100000\n16969 25518\n94444 100000\n48272 72497\n50174 75329\n92015 100000\n70677 100000\n70248 100000\n59281 88996\n63190 94846\n41663 62583\n87065 100000\n37335 56144\n24944 37506\n88660 100000\n38200 57430\n36656 55124\n61157 91805\n99759 100000\n2615 3951\n60404 90665\n19449 29253\n54924 82431\n12445 18754\n44050 66150\n78522 100000\n4368 6551\n68759 100000\n31342 47128\n20927 31494\n83669 100000\n82728 100000\n90865 100000\n62156 93294\n18008 27097\n62019 93090\n59327 89068\n54729 82140\n27651 41559\n79144 100000\n75382 100000\n62685 94090\n6205 9312\n25772 38742\n97787 100000\n86604 100000\n84094 100000\n27446 41253\n10134 15262\n78632 100000\n74944 100000\n82154 100000\n45377 68132\n77000 100000\n42529 63878\n8039 12113\n32355 48668\n92425 100000\n33114 49813\n59013 88588\n89684 100000\n6069 9109\n66381 99587\n27094 40715\n68626 100000\n34908 52488\n83233 100000\n25428 38234\n59001 88570\n49046 73651\n43506 65335\n50686 76088\n43661 65571\n80052 100000\n67668 100000\n38774 58299\n79834 100000\n82245 100000\n58578 87931\n46321 69551\n29242 43946\n11984 18071\n78809 100000\n63229 94901\n25503 38341\n30596 45986\n22464 33791\n52888 79384\n60713 91132\n60118 90244\n55243 82912\n54425 81690\n10280 15490\n1024 1552\n17248 25933\n80824 100000\n83488 100000\n93477 100000\n18605 27990\n6493 9763\n15600 23453\n77482 100000\n75442 100000\n41569 62442\n71125 100000\n68922 100000\n65761 98637\n53443 80209\n5691 8540\n75012 100000\n61246 91943\n84075 100000\n93124 100000\n42530 63880\n88846 100000\n84144 100000\n59549 89394\n66084 99137\n29812 44798\n5275 7929\n70431 100000\n89864 100000\n33892 50965\n27912 41946\n16387 24639\n16993 25551\n43640 65539\n61182 91841\n76182 100000\n3541 5314\n81307 100000\n26559 39903\n58447 87730\n87414 100000\n74218 100000\n19888 29912\n18 25\n23408 35203\n25125 37779\n11272 16976\n29906 44940\n58947 88489\n79778 100000\n46196 69361\n7165 10798\n12115 18269\n39729 59701\n85437 100000\n5790 8685\n66889 100000\n31788 47802\n93048 100000\n76684 100000\n23178 34855\n85832 100000\n39508 59376\n30984 46579\n83138 100000\n47707 71624\n88830 100000\n50567 75914\n55906 83913\n43826 65817\n33705 50683\n64806 97233\n42787 64268\n69195 100000\n66637 99972\n27107 40736\n22570 33945\n25018 37617\n90062 100000\n69875 100000\n33168 49895\n91730 100000\n99815 100000\n65188 97791\n94688 100000\n29798 44778\n71384 100000\n88417 100000\n30093 45216\n74974 100000\n96867 100000\n6766 10178\n50770 76213\n78109 100000\n98224 100000\n30151 45303\n94950 100000\n20803 31305\n25444 38259\n88898 100000\n48122 72265\n43790 65763\n85445 100000\n46139 69270\n24403 36696\n21284 32022\n6762 10171\n51798 77747\n46448 69743\n73862 100000\n99294 100000\n13483 20298\n88883 100000\n22842 34353\n89776 100000\n12215 18405\n44681 67070\n91302 100000\n15089 22718\n51158 76792\n9022 13589\n62255 93443\n23239 34944\n52501 78817\n6981 10509\n41937 62995\n78244 100000\n59834 89818\n24066 36197\n45311 68030\n98225 100000\n52838 79311\n38285 57561\n79359 100000\n97057 100000\n84983 100000\n19871 29886\n6727 10119\n5827 8746\n11804 17803\n71911 100000\n54744 82164\n24319 36571\n3582 5374\n90143 100000\n44751 67173\n87748 100000\n67989 100000\n60852 91352\n52480 78783\n4099 6154\n41079 61700\n75083 100000\n76869 100000\n11339 17075\n15834 23795\n696 1060\n30270 45486\n10052 15138\n32773 49302\n22320 33576\n7573 11415\n1724 2612\n88322 100000\n82999 100000\n1228 1850\n4883 7328\n83731 100000\n34791 52310\n21412 32207\n4876 7319\n10406 15681\n87987 100000\n38179 57396\n62425 93698\n67193 100000\n82127 100000\n91362 100000\n39464 59313\n65983 98977\n32187 48411\n66156 99249\n27579 41446\n87390 100000\n83509 100000\n47443 71222\n55832 83806\n94084 100000\n64911 97385\n89597 100000\n69166 100000\n37039 55699\n16297 24504\n47969 72029\n7003 10546\n57158 85788\n10677 16076\n29349 44106\n36953 55570\n76578 100000\n64525 96808\n41445 62250\n46183 69341\n49207 73897\n57043 85611\n9638 14518\n4011 6026\n33647 50596\n9766 14707\n83641 100000\n9680 14580\n32693 49180\n57977 87016\n17275 25977\n70771 100000\n67051 100000\n98132 100000\n3692 5538\n99563 100000\n57130 85742\n41003 61585\n61110 91736\n38457 57825\n36491 54878\n1189 1797\n77161 100000\n76958 100000\n57358 86083\n15402 23157\n58002 87058\n23246 34953\n45199 67851\n66713 100000\n12444 18753\n40374 60644\n91346 100000\n36766 55284\n25311 38056\n48804 73293\n22574 33953\n96353 100000\n19337 29085\n32959 49585\n99030 100000\n32861 49434\n476 718\n53439 80205\n13324 20066\n62419 93689\n51510 77317\n82086 100000\n51088 76687\n31717 47697\n15535 23351\n94252 100000\n69560 100000\n5508 8271\n39394 59214\n6675 10036\n41007 61591\n23603 35500\n35016 52643\n90954 100000\n43200 64865\n51534 77354\n72125 100000\n67789 100000\n69023 100000\n52526 78857\n93572 100000\n31646 47593\n17364 26120\n89036 100000\n22236 33448\n79492 100000\n1662 2514\n80349 100000\n17554 26403\n34795 52317\n51896 77902\n79666 100000\n84324 100000\n22206 33404\n2548 3845\n43782 65751\n6276 9421\n11295 17008\n47190 70839\n1780 2701\n25820 38809\n58108 87216\n38342 57652\n72146 100000\n41324 62065\n94015 100000\n43463 65273\n23785 35784\n54025 81084\n40064 60186\n14 21\n90571 100000\n10335 15575\n67916 100000\n95621 100000\n37941 57043\n81415 100000\n68790 100000\n51802 77753\n32254 48520\n50165 75315\n9813 14774\n52017 78088\n48654 73074\n95968 100000\n33220 49970\n39303 59074\n16290 24495\n51968 78012\n48745 73215\n67721 100000\n98726 100000\n67895 100000\n49616 74510\n69282 100000\n72969 100000\n34070 51236\n14238 21436\n92047 100000\n13158 19819\n59223 88906\n69876 100000\n22876 34405\n67243 100000\n45239 67917\n59732 89672\n57307 86007\n96561 100000\n44897 67393\n76063 100000\n19185 28863\n28400 42675\n77090 100000\n62150 93287\n36496 54886\n89285 100000\n73608 100000\n16400 24656\n52945 79473\n91969 100000\n25258 37976\n78163 100000\n67504 100000\n69154 100000\n36781 55305\n57832 86798\n91443 100000\n67374 100000\n88693 100000\n56593 84922\n60302 90515\n65497 98249\n64810 97238\n31093 46744\n20214 30408\n1038 1574\n96401 100000\n98876 100000\n45016 67585\n52002 78065\n96128 100000\n95186 100000\n67687 100000\n97463 100000\n47192 70843\n47847 71828\n52848 79325\n77644 100000\n31190 46894\n94318 100000\n34355 51657\n65937 98905\n93272 100000\n66104 99166\n82485 100000\n87031 100000\n26142 39287\n95117 100000\n25514 38355\n90557 100000\n16792 25248\n34376 51690\n14355 21621\n38806 58343\n25190 37878\n24090 36231\n71407 100000\n19477 29295\n49479 74301\n19016 28614\n98218 100000\n508 768\n20110 30256\n69067 100000\n57624 86482\n32904 49498\n57363 86089\n72042 100000\n39156 58858\n2848 4302\n37403 56243\n64135 96231\n30323 45563\n71291 100000\n78779 100000\n99426 100000\n86258 100000\n31980 48091\n89506 100000\n40255 60470\n88078 100000\n68972 100000\n75678 100000\n63822 95770\n32767 49292\n99202 100000\n11887 17925\n11073 16671\n97096 100000\n34259 51518\n78820 100000\n20166 30337\n56520 84815\n18376 27652\n56932 85439\n39109 58795\n13772 20730\n95518 100000\n77217 100000\n50615 75985\n37113 55808\n43761 65721\n88893 100000\n78331 100000\n27751 41709\n33281 50057\n7787 11740\n1999 3016\n3159 4767\n54116 81225\n16720 25140\n66929 100000\n16668 25063\n16015 24075\n87621 100000\n6742 10141\n77244 100000\n30550 45917\n36320 54622\n8396 12659\n97526 100000\n6574 9879\n72071 100000\n85172 100000\n42194 63367\n88195 100000\n32499 48884\n12025 18133\n19890 29915\n98524 100000\n47492 71298\n91663 100000\n39356 59155\n61275 91982\n86889 100000\n13365 20129\n11104 16719\n16511 24822\n94373 100000\n93280 100000\n10642 16026\n85216 100000\n57842 86811\n87946 100000\n68260 100000\n72088 100000\n11004 16567\n75820 100000\n35392 53201\n83833 100000\n76442 100000\n79980 100000\n50746 76175\n10636 16016\n48938 73491\n61601 92461\n48896 73427\n27366 41125\n56363 84590\n29097 43726\n88235 100000\n28179 42337\n92817 100000\n90294 100000\n21341 32103\n1408 2122\n44521 66826\n24106 36257\n12569 18932\n10551 15889\n95085 100000\n23241 34947\n33123 49827\n32212 48451\n35735 53719\n89256 100000\n31786 47799\n36524 54926\n61441 92225\n86745 100000\n81823 100000\n88087 100000\n652 987\n32914 49514\n85409 100000\n26099 39222\n79052 100000\n50765 76205\n80594 100000\n55600 83452\n50178 75335\n99881 100000\n82854 100000\n55888 83884\n50404 75672\n38891 58471\n78515 100000\n6453 9707\n99619 100000\n83630 100000\n1015 1537\n41928 62981\n66583 99890\n48128 72275\n91345 100000\n90413 100000\n23051 34661\n6268 9408\n92767 100000\n48549 72924\n66082 99135\n75843 100000\n59215 88890\n16829 25299\n71124 100000\n66292 99451\n39018 58666\n44912 67419\n90945 100000\n17592 26461\n73996 100000\n44863 67338\n45459 68256\n56665 85024\n49544 74399\n19086 28720\n56877 85360\n52786 79233\n95295 100000\n54940 82457\n25578 38446\n70085 100000\n14564 21927\n51652 77529\n78521 100000\n50932 76451\n53538 80351\n26043 39136\n85378 100000\n87973 100000\n64572 96880\n92642 100000\n42109 63240\n20354 30628\n49736 74682\n14416 21712\n45292 68001\n5350 8040\n99316 100000\n51649 77524\n58586 87942\n83903 100000\n31226 46953\n88812 100000\n31184 46886\n30824 46327\n76022 100000\n48056 72165\n69981 100000\n61841 92822\n73070 100000\n5199 7812\n59446 89248\n84350 100000\n57605 86455\n8537 12868\n55466 83253\n38099 57270\n89744 100000\n81544 100000\n1779 2699\n1471 2217\n12623 19009\n35840 53875\n83367 100000\n69272 100000\n24438 36746\n22264 33492\n63881 95855\n29508 44344\n9237 13912\n73381 100000\n18242 27449\n23975 36068\n97256 100000\n9111 13718\n8369 12619\n40040 60152\n42044 63146\n13714 20640\n37037 55697\n42407 63691\n65375 98060\n79088 100000\n8273 12469\n55018 82573\n74607 100000\n74410 100000\n70055 100000\n69217 100000\n79916 100000\n26902 40425\n35182 52888\n25549 38403\n29085 43710\n46393 69659\n8178 12322\n6498 9771\n15395 23145\n15272 22972\n83874 100000\n94829 100000\n77483 100000\n83340 100000\n59767 89724\n39930 59987\n46391 69656\n57912 86919\n36388 54727\n36729 55228\n88265 100000\n16039 24114\n19208 28894\n95002 100000\n42620 64023\n3507 5262\n87107 100000\n71984 100000\n37374 56203\n12157 18324\n57489 86278\n64362 96561\n9299 14011\n45270 67967\n73730 100000\n33362 50172\n84671 100000\n24073 36207\n41657 62576\n61462 92258\n11758 17734\n4084 6133\n19573 29437\n38083 57246\n53757 80677\n15102 22734\n59566 89421\n80213 100000\n6882 10354\n11933 17996\n55643 83515\n69834 100000\n24851 37371\n33808 50837\n60615 90983\n48876 73401\n77130 100000\n82523 100000\n95503 100000\n92235 100000\n82460 100000\n27416 41208\n23710 35671\n5109 7667\n90745 100000\n56999 85540\n68521 100000\n87482 100000\n45631 68508\n20764 31245\n60187 90338\n95008 100000\n58065 87151\n5583 8377\n6344 9526\n15396 23147\n96247 100000\n78488 100000\n71295 100000\n70255 100000\n31257 47001\n71177 100000\n26756 40205\n47558 71393\n5196 7807\n81178 100000\n63704 95600\n21882 32919\n72032 100000\n78146 100000\n14524 21873\n68717 100000\n64438 96674\n53810 80764\n96686 100000\n42613 64013\n1588 2400\n86519 100000\n20397 30692\n19926 29966\n54444 81717\n98352 100000\n9238 13913\n37773 56798\n29050 43657\n9889 14886\n6176 9269\n89812 100000\n96073 100000\n51601 77453\n4147 6223\n6032 9054\n34966 52570\n74906 100000\n11185 16842\n9862 14844\n73519 100000\n65218 97834\n70381 100000\n8467 12765\n22133 33294\n39321 59105\n34340 51635\n60624 90999\n89910 100000\n81151 100000\n14784 22261\n99991 100000\n3561 5340\n25020 37621\n16747 25178\n23101 34741\n58755 88199\n54948 82468\n63200 94860\n92655 100000\n48773 73251\n58191 87338\n91840 100000\n29256 43964\n79425 100000\n19767 29724\n41667 62590\n2550 3848\n98036 100000\n46356 69603\n15735 23642\n46964 70511\n72431 100000\n4920 7384\n10593 15951\n64262 96417\n17640 26537\n44685 67076\n2744 4147\n80560 100000\n11070 16667\n27954 42012\n8885 13377\n81341 100000\n27485 41309\n88902 100000\n98521 100000\n70832 100000\n6708 10087\n10741 16178\n71814 100000\n454 684\n53700 80590\n84639 100000\n69088 100000\n45975 69026\n82974 100000\n1457 2195\n44951 67482\n31700 47675\n92573 100000\n23535 35393\n66982 100000\n11631 17534\n90433 100000\n93002 100000\n92449 100000\n83057 100000\n60758 91202\n95705 100000\n37792 56823\n67003 100000\n39158 58861\n75572 100000\n51907 77919\n39019 58667\n28300 42518\n68909 100000\n72514 100000\n74797 100000\n81264 100000\n81815 100000\n5425 8152\n13465 20274\n21273 32006\n58822 88305\n424 638\n28066 42171\n95646 100000\n84511 100000\n1148 1736\n69274 100000\n10483 15795\n26802 40274\n2488 3762\n26351 39603\n11270 16973\n2864 4324\n53349 80068\n48493 72843\n92305 100000\n36064 54219\n35357 53153\n6516 9797\n18285 27516\n52273 78476\n19164 28831\n28327 42560\n4585 6880\n95368 100000\n5710 8568\n90333 100000\n77812 100000\n16839 25313\n41642 62554\n15543 23361\n6188 9286\n52113 78235\n71557 100000\n98842 100000\n96844 100000\n34274 51539\n48095 72227\n55562 83398\n39334 59126\n57451 86221\n39814 59818\n86022 100000\n92601 100000\n75043 100000\n20130 30284\n8950 13481\n23482 35313\n91307 100000\n78712 100000\n52066 78161\n16916 25435\n42224 63413\n79254 100000\n52625 78998\n76367 100000\n70156 100000\n78470 100000\n33313 50100\n77143 100000\n1806 2742\n22964 34534\n71380 100000\n28016 42101\n11633 17537\n33995 51126\n69676 100000\n40608 61002\n54271 81466\n64966 97460\n44357 66594\n14315 21559\n46784 70239\n48089 72217\n63244 94925\n1730 2620\n7089 10682\n86572 100000\n29749 44711\n17435 26223\n65138 97712\n38460 57829\n62355 93588\n73553 100000\n28121 42251\n77820 100000\n23586 35477\n50649 76030\n49622 74519\n75565 100000\n82328 100000\n75147 100000\n31544 47437\n67164 100000\n91564 100000\n35269 53018\n8336 12563\n74091 100000\n96007 100000\n19943 29993\n15951 23968\n13420 20206\n87663 100000\n86706 100000\n14626 22023\n94452 100000\n52442 78732\n12625 19013\n10866 16361\n29022 43614\n65941 98912\n24870 37400\n34216 51456\n95517 100000\n11326 17054\n97039 100000\n45797 68756\n89489 100000\n45817 68787\n72269 100000\n70937 100000\n65640 98458\n56752 85165\n5668 8502\n78696 100000\n5546 8327\n35611 53530\n64904 97377\n70556 100000\n77072 100000\n78909 100000\n60870 91379\n92882 100000\n64018 96055\n15283 22985\n52498 78813\n37087 55774\n46842 70334\n89890 100000\n34089 51265\n39292 59057\n11114 16735\n71495 100000\n96249 100000\n50725 76148\n63186 94840\n89143 100000\n23134 34790\n30219 45410\n6994 10532\n32061 48214\n60770 91221\n11463 17270\n50762 76200\n77805 100000\n95095 100000\n89681 100000\n67689 100000\n2828 4268\n28493 42811\n62230 93406\n72802 100000\n81842 100000\n20574 30959\n33583 50502\n50525 75850\n25097 37740\n34489 51851\n10550 15887\n54272 81468\n87863 100000\n49938 74988\n81269 100000\n20439 30755\n19556 29410\n60751 91189\n12303 18538\n6971 10492\n4399 6602\n11440 17231\n64218 96348\n96981 100000\n76078 100000\n36195 54421\n89007 100000\n17545 26390\n23669 35603\n96714 100000\n56817 85268\n91881 100000\n42892 64418\n92569 100000\n91481 100000\n69772 100000\n97513 100000\n89335 100000\n76284 100000\n58744 88182\n49757 74718\n54590 81934\n3093 4669\n24160 36342\n69600 100000\n96369 100000\n74135 100000\n23713 35674\n64282 96448\n85485 100000\n67901 100000\n56388 84628\n66901 100000\n46745 70179\n31109 46770\n79175 100000\n44072 66184\n46116 69234\n12597 18970\n50666 76059\n45621 68493\n32479 48850\n52727 79149\n78368 100000\n51749 77674\n84189 100000\n26054 39151\n12248 18453\n12213 18403\n92503 100000\n86229 100000\n89052 100000\n21951 33022\n57990 87038\n4152 6231\n62361 93597\n86800 100000\n83345 100000\n78300 100000\n65460 98191\n4796 7196\n42432 63727\n6564 9864\n30802 46292\n43235 64925\n46912 70440\n26949 40492\n37373 56201\n54618 81976\n4690 7036\n89078 100000\n61727 92650\n11503 17335\n64549 96845\n9446 14235\n67521 100000\n53243 79907\n83158 100000\n12422 18721\n61935 92963\n93551 100000\n91660 100000\n96939 100000\n97277 100000\n88106 100000\n3001 4528\n61738 92666\n7097 10694\n58697 88108\n5036 7560\n56233 84403\n45894 68906\n23748 35729\n98710 100000\n97180 100000\n47278 70968\n367 551\n5824 8741\n65054 97584\n47224 70891\n71638 100000\n76402 100000\n32036 48171\n85910 100000\n62860 94355\n38039 57185\n81423 100000\n89846 100000\n59836 89821\n42990 64565\n91601 100000\n59891 89902\n95717 100000\n90259 100000\n98669 100000\n787 1193\n27081 40696\n77811 100000\n10809 16275\n39917 59968\n36333 54642\n46800 70264\n37870 56946\n52037 78117\n43279 64990\n73026 100000\n90643 100000\n9260 13949\n43157 64805\n19413 29201\n38985 58616\n38142 57341\n2231 3369\n98603 100000\n18972 28547\n42856 64368\n95001 100000\n45092 67694\n64106 96185\n93827 100000\n31725 47710\n63214 94883\n52956 79489\n7692 11597\n83990 100000\n27545 41396\n80512 100000\n76423 100000\n23910 35981\n98089 100000\n2270 3432\n21661 32581\n16808 25268\n73651 100000\n33968 51081\n57100 85702\n95632 100000\n34726 52211\n53137 79750\n905 1373\n12343 18601\n88278 100000\n91205 100000\n21998 33088\n83180 100000\n20873 31411\n97306 100000\n29412 44203\n19838 29837\n79432 100000\n22880 34412\n52954 79486\n3878 5819\n39015 58662\n17501 26322\n9421 14199\n92368 100000\n33070 49749\n91110 100000\n89121 100000\n10744 16183\n83626 100000\n44375 66620\n41633 62541\n82926 100000\n60337 90569\n87 129\n78738 100000\n72288 100000\n11490 17315\n73487 100000\n57030 85591\n86586 100000\n16075 24166\n81315 100000\n74199 100000\n39192 58906\n15212 22884\n71211 100000\n12826 19320\n13443 20241\n91571 100000\n73141 100000\n23715 35678\n74352 100000\n9776 14723\n26448 39746\n10081 15180\n94927 100000\n85206 100000\n75635 100000\n45258 67949\n76758 100000\n57297 85994\n62109 93222\n82393 100000\n50270 75477\n49481 74304\n87692 100000\n57228 85894\n66540 99824\n92169 100000\n95452 100000\n40454 60765\n57690 86588\n48842 73352\n43893 65917\n75350 100000\n55166 82801\n1139 1724\n23105 34747\n6222 9335\n14410 21703\n31557 47458\n47399 71158\n85482 100000\n87114 100000\n3624 5434\n5143 7720\n39563 59456\n98644 100000\n97991 100000\n74494 100000\n14882 22405\n7000 10541\n7044 10610\n86095 100000\n93234 100000\n7878 11870\n84161 100000\n38963 58581\n74845 100000\n77437 100000\n76535 100000\n53952 80976\n3315 4991\n59316 89049\n75949 100000\n59452 89257\n11530 17373\n6265 9403\n8375 12628\n62877 94382\n28372 42631\n94660 100000\n56844 85311\n48261 72480\n36482 54864\n91820 100000\n47649 71533\n90129 100000\n9935 14955\n54203 81354\n54488 81781\n82986 100000\n4400 6604\n59456 89263\n81174 100000\n51442 77220\n25189 37877\n25969 39031\n85044 100000\n83841 100000\n7166 10799\n77956 100000\n4146 6221\n21436 32246\n64618 96946\n27386 41158\n93639 100000\n68363 100000\n59827 89807\n29752 44715\n20882 31425\n91237 100000\n45973 69023\n68050 100000\n64851 97300\n21361 32132\n4635 6956\n71422 100000\n49154 73815\n97071 100000\n83263 100000\n43294 65015\n45006 67571\n83652 100000\n56619 84958\n25042 37656\n35159 52850\n12155 18321\n96178 100000\n54412 81667\n31330 47112\n99207 100000\n80374 100000\n84832 100000\n80326 100000\n60241 90420\n61294 92007\n42908 64442\n96394 100000\n31619 47553\n85980 100000\n49952 75010\n7489 11288\n58035 87105\n67958 100000\n80032 100000\n51932 77955\n74295 100000\n54012 81065\n29910 44947\n73456 100000\n57382 86118\n17979 27054\n93528 100000\n78532 100000\n57373 86105\n13009 19596\n65932 98897\n40976 61548\n17904 26940\n18062 27182\n10912 16431\n86115 100000\n58589 87946\n92481 100000\n52872 79358\n92071 100000\n70588 100000\n66943 100000\n60447 90733\n29939 44987\n85986 100000\n7400 11145\n51251 76931\n75166 100000\n86720 100000\n35012 52636\n70451 100000\n63897 95880\n46032 69115\n29053 43662\n77033 100000\n79588 100000\n64031 96074\n83565 100000\n72383 100000\n95292 100000\n39438 59276\n77835 100000\n19984 30062\n67007 100000\n24006 36111\n83482 100000\n94534 100000\n98062 100000\n12413 18705\n43170 64826\n18439 27748\n7233 10896\n10407 15683\n80236 100000\n39313 59091\n42301 63531\n42910 64445\n86592 100000\n67587 100000\n28782 43250\n87129 100000\n38683 58157\n93381 100000\n80202 100000\n78524 100000\n96660 100000\n79720 100000\n78745 100000\n80087 100000\n31746 47743\n20452 30775\n49127 73776\n39115 58803\n49854 74859\n70848 100000\n73962 100000\n68800 100000\n4963 7444\n20486 30828\n65340 98011\n39995 60088\n69197 100000\n3438 5168\n28492 42810\n66688 100000\n5774 8661\n95712 100000\n9422 14200\n83063 100000\n76739 100000\n11296 17010\n74643 100000\n87749 100000\n67838 100000\n17736 26683\n99632 100000\n17028 25603\n42385 63658\n17924 26970\n78126 100000\n58723 88148\n78644 100000\n15446 23223\n45104 67713\n72827 100000\n81408 100000\n75945 100000\n73930 100000\n66445 99683\n9198 13852\n54446 81719\n71593 100000\n27501 41329\n79877 100000\n16005 24058\n62065 93156\n42955 64514\n97391 100000\n79688 100000\n58566 87912\n10746 16186\n49973 75038\n15570 23404\n73613 100000\n81916 100000\n7087 10678\n80851 100000\n25835 38831\n35350 53144\n38096 57266\n97106 100000\n91074 100000\n1837 2786\n25426 38230\n24725 37184\n21539 32387\n52904 79409\n94101 100000\n9660 14554\n39583 59484\n29514 44353\n68802 100000\n75772 100000\n30902 46447\n84658 100000\n33629 50569\n80503 100000\n95042 100000\n63831 95785\n69238 100000\n30684 46122\n88742 100000\n64322 96502\n59108 88729\n77268 100000\n25479 38306\n22935 34488\n39747 59726\n93899 100000\n79959 100000\n48883 73409\n40105 60251\n39376 59188\n12034 18147\n40988 61565\n99744 100000\n38335 57641\n6395 9611\n37768 56792\n8783 13228\n3637 5453\n16258 24448\n79417 100000\n52199 78362\n58968 88518\n46852 70350\n47994 72066\n86881 100000\n29010 43595\n21927 32985\n12432 18737\n43260 64964\n39655 59595\n3571 5356\n32607 49055\n83172 100000\n59738 89682\n24956 37522\n74005 100000\n47152 70782\n17123 25746\n43065 64669\n50855 76337\n52647 79033\n32600 49043\n30189 45366\n50635 76011\n33438 50286\n1053 1593\n62092 93196\n20933 31502\n65121 97687\n56614 84952\n96218 100000\n17338 26081\n7936 11957\n48950 73509\n73643 100000\n10717 16139\n73588 100000\n95209 100000\n21347 32111\n52927 79445\n87266 100000\n51537 77358\n81617 100000\n63053 94644\n83631 100000\n22279 33516\n57634 86498\n13287 20009\n43136 64771\n10274 15479\n87125 100000\n40073 60201\n4408 6615\n90327 100000\n83394 100000\n81122 100000\n33388 50209\n3995 5999\n16715 25133\n15387 23134\n32347 48657\n84858 100000\n68508 100000\n66333 99513\n19622 29505\n14542 21900\n40820 61318\n33964 51075\n32385 48712\n60956 91508\n55235 82899\n58588 87945\n30143 45290\n66350 99540\n71282 100000\n30031 45122\n66913 100000\n16824 25292\n3572 5357\n879 1335\n17087 25694\n98187 100000\n69428 100000\n62575 93924\n33128 49833\n99809 100000\n99326 100000\n82675 100000\n8106 12215\n58243 87419\n46561 69910\n26943 40482\n44847 67315\n47668 71563\n65817 98724\n16168 24310\n33671 50632\n8432 12711\n12532 18878\n1531 2314\n81003 100000\n38061 57213\n42090 63214\n5086 7633\n21349 32114\n14628 22025\n50307 75528\n66963 100000\n89423 100000\n935 1420\n31135 46812\n38086 57251\n24539 36904\n19582 29452\n49722 74662\n85692 100000\n56037 84114\n41661 62581\n87672 100000\n34436 51774\n99431 100000\n59394 89172\n39280 59040\n41564 62432\n82481 100000\n52508 78828\n5845 8772\n33066 49743\n90385 100000\n74324 100000\n84055 100000\n31553 47452\n62210 93373\n46618 69987\n6194 9296\n44689 67082\n8807 13267\n36091 54260\n79701 100000\n44899 67397\n81359 100000\n35176 52878\n56798 85238\n51211 76869\n17585 26450\n95559 100000\n92824 100000\n18637 28035\n76618 100000\n54895 82390\n56394 84636\n35164 52858\n69944 100000\n80243 100000\n75702 100000\n98505 100000\n61555 92396\n99211 100000\n17434 26222\n89419 100000\n26661 40051\n43460 65270\n93482 100000\n86311 100000\n33694 50666\n35000 52619\n75297 100000\n48273 72498\n10953 16495\n53195 79838\n90008 100000\n94474 100000\n96759 100000\n27463 41279\n73029 100000\n28 39\n59482 89300\n28445 42741\n63222 94892\n53877 80867\n37007 55653\n98995 100000\n34019 51165\n70696 100000\n82231 100000\n87552 100000\n4547 6821\n82966 100000\n18464 27784\n42604 63999\n12221 18412\n95112 100000\n32144 48340\n49132 73784\n41184 61854\n71377 100000\n83705 100000\n9665 14560\n48905 73442\n24457 36774\n5295 7963\n83132 100000\n24173 36359\n72281 100000\n40837 61342\n74249 100000\n55369 83103\n80992 100000\n49682 74604\n62777 94232\n43403 65185\n41950 63013\n86542 100000\n24181 36369\n141 211\n42997 64575\n90006 100000\n94390 100000\n27839 41842\n54732 82145\n46598 69958\n74788 100000\n71965 100000\n15645 23515\n66376 99580\n31690 47657\n59019 88598\n49980 75047\n44614 66969\n13514 20340\n43285 64999\n25451 38269\n83122 100000\n7900 11900\n29673 44592\n56001 84057\n34505 51873\n38596 58030\n67093 100000\n93995 100000\n87463 100000\n10778 16233\n77226 100000\n74504 100000\n23112 34758\n88341 100000\n31896 47964\n47405 71166\n52590 78949\n64109 96190\n63895 95877\n5569 8356\n91135 100000\n86275 100000\n85735 100000\n29846 44848\n77708 100000\n49268 73990\n19492 29316\n426 641\n25071 37700\n7081 10669\n43441 65243\n88476 100000\n44404 66660\n73376 100000\n15883 23873\n77247 100000\n9515 14334\n55463 83248\n42511 63851\n27059 40664\n81827 100000\n22710 34157\n45834 68813\n25954 39009\n1901 2876\n31612 47543\n44066 66176\n57988 87034\n14788 22268\n65524 98288\n65141 97717\n79692 100000\n47326 71048\n77809 100000\n25724 38669\n64990 97492\n24345 36610\n35997 54111\n5186 7790\n77417 100000\n61673 92573\n17859 26871\n35905 53971\n52038 78118\n78011 100000\n4565 6848\n16902 25412\n81806 100000\n69260 100000\n23723 35692\n31566 47471\n7440 11208\n36344 54659\n17001 25560\n34361 51665\n89875 100000\n42653 64070\n22661 34085\n4419 6633\n84059 100000\n57687 86582\n12473 18793\n77174 100000\n94903 100000\n44522 66828\n12968 19534\n52886 79380\n57236 85904\n67903 100000\n60493 90802\n56856 85329\n43556 65411\n48613 73016\n90396 100000\n9398 14164\n40663 61084\n99221 100000\n48985 73559\n20756 31234\n47478 71276\n79753 100000\n99829 100000\n65048 97575\n15897 23896\n1034 1567\n68028 100000\n24179 36367\n70680 100000\n95741 100000\n69436 100000\n83723 100000\n70576 100000\n32230 48480\n19614 29492\n90695 100000\n52441 78731\n67667 100000\n87087 100000\n31013 46622\n71108 100000\n71577 100000\n30594 45982\n8166 12303\n10086 15187\n20259 30480\n513 776\n75837 100000\n62618 93988\n23678 35618\n39458 59305\n86872 100000\n23843 35875\n94825 100000\n85045 100000\n22969 34542\n74219 100000\n63813 95756\n74222 100000\n55926 83941\n55659 83537\n87148 100000\n54018 81073\n79718 100000\n73816 100000\n68932 100000\n46652 70040\n78171 100000\n70861 100000\n13525 20358\n91568 100000\n90378 100000\n51017 76579\n68810 100000\n84333 100000\n59388 89164\n50349 75593\n87263 100000\n73556 100000\n77808 100000\n96282 100000\n83749 100000\n81665 100000\n91898 100000\n63388 95132\n96396 100000\n99437 100000\n88683 100000\n85473 100000\n8063 12148\n89406 100000\n84343 100000\n32493 48874\n38316 57609\n66668 100000\n53172 79804\n22612 34012\n56616 84955\n63908 95895\n75825 100000\n38541 57954\n41852 62867\n22874 34402\n47778 71727\n61442 92227\n25223 37923\n12060 18184\n54319 81544\n16389 24643\n20068 30190\n59829 89811\n16428 24697\n24046 36169\n5338 8025\n69657 100000\n93353 100000\n20347 30617\n63857 95824\n67463 100000\n74632 100000\n17688 26608\n31368 47166\n90233 100000\n25390 38173\n62141 93271\n61179 91837\n39258 59006\n6299 9457\n10987 16543\n64468 96719\n89275 100000\n58925 88454\n12256 18465\n43949 66001\n94926 100000\n891 1354\n5421 8147\n4372 6558\n66691 100000\n67630 100000\n74684 100000\n16899 25408\n32379 48703\n96475 100000\n14225 21417\n65855 98782\n1711 2592\n6562 9862\n71916 100000\n12293 18522\n58056 87135\n33014 49666\n66040 99066\n21097 31738\n61115 91744\n86407 100000\n20543 30914\n815 1237\n82456 100000\n33262 50030\n8044 12121\n43838 65837\n31548 47443\n92211 100000\n61922 92944\n71532 100000\n967 1464\n3542 5315\n25892 38920\n353 529\n2538 3831\n62027 93102\n70785 100000\n17661 26568\n87333 100000\n80077 100000\n83442 100000\n93439 100000\n46053 69144\n73866 100000\n6533 9823\n80758 100000\n10097 15205\n26744 40185\n11423 17205\n27420 41214\n23812 35827\n26016 39097\n38964 58583\n22583 33967\n73755 100000\n96452 100000\n25487 38318\n46284 69499\n44569 66899\n46581 69939\n32258 48526\n31927 48010\n45874 68874\n25581 38451\n14850 22361\n74094 100000\n23595 35489\n25010 37605\n31905 47978\n24376 36656\n74181 100000\n51203 76858\n78649 100000\n76511 100000\n37976 57094\n72024 100000\n97534 100000\n91118 100000\n30971 46560\n99917 100000\n24133 36298\n92866 100000\n94094 100000\n66456 99700\n88147 100000\n60351 90589\n92984 100000\n59973 90027\n9088 13685\n48670 73097\n35425 53252\n87780 100000\n24961 37530\n67555 100000\n16590 24942\n47010 70579\n81199 100000\n15839 23804\n44426 66692\n75910 100000\n47373 71116\n54197 81345\n4051 6088\n45291 67999\n23575 35459\n4747 7121\n35201 52916\n57188 85832\n63022 94596\n90909 100000\n67075 100000\n88326 100000\n35025 52655\n97274 100000\n82693 100000\n9098 13701\n35874 53924\n86594 100000\n733 1117\n26473 39780\n13441 20239\n34541 51923\n12705 19132\n87784 100000\n67611 100000\n25507 38346\n49436 74235\n79271 100000\n37510 56405\n99148 100000\n53364 80089\n57258 85935\n57355 86079\n94761 100000\n33241 49998\n13739 20679\n33690 50660\n62673 94071\n91752 100000\n88408 100000\n9314 14034\n24804 37302\n19864 29877\n17161 25803\n69650 100000\n70260 100000\n55088 82678\n51988 78044\n63481 95266\n87021 100000\n45947 68983\n59992 90055\n50955 76487\n53069 79651\n78274 100000\n8394 12656\n31510 47382\n32417 48759\n54752 82177\n6706 10084\n56726 85122\n47318 71033\n98250 100000\n66992 100000\n30996 46597\n8497 12807\n40581 60960\n46941 70478\n50429 75709\n82615 100000\n58400 87659\n71411 100000\n81912 100000\n74699 100000\n19428 29221\n90453 100000\n87857 100000\n72453 100000\n48300 72544\n74054 100000\n57213 85872\n79524 100000\n6220 9333\n27021 40604\n26512 39835\n88498 100000\n11316 17040\n30785 46270\n90578 100000\n9551 14387\n5229 7855\n34903 52482\n7213 10867\n17708 26637\n77753 100000\n88753 100000\n31459 47308\n2843 4293\n25374 38150\n61650 92538\n296 443\n86740 100000\n96446 100000\n8926 13445\n70463 100000\n12888 19416\n46484 69798\n88121 100000\n57761 86694\n30445 45748\n15691 23581\n27875 41889\n1018 1542\n90507 100000\n29568 44439\n78197 100000\n96804 100000\n66752 100000\n35651 53588\n69675 100000\n54050 81121\n49562 74424\n86675 100000\n72771 100000\n18962 28535\n67584 100000\n3017 4552\n93231 100000\n27619 41507\n19030 28637\n96891 100000\n74863 100000\n60172 90320\n89813 100000\n31601 47526\n88579 100000\n13975 21043\n44221 66398\n82071 100000\n10015 15078\n5802 8706\n24204 36405\n21679 32610\n62383 93631\n35512 53379\n22767 34241\n39368 59174\n23573 35456\n60687 91096\n28028 42116\n49216 73911\n14762 22230\n77280 100000\n3128 4720\n32460 48825\n95424 100000\n82818 100000\n80130 100000\n27403 41184\n44022 66107\n72908 100000\n23132 34787\n75016 100000\n36277 54556\n71366 100000\n48225 72425\n36043 54184\n72595 100000\n81559 100000\n49247 73960\n26508 39829\n54834 82299\n60247 90429\n42857 64369\n80439 100000\n24486 36822\n78546 100000\n63037 94617\n24008 36114\n52714 79133\n12528 18872\n27311 41043\n83789 100000\n32937 49548\n30934 46500\n55527 83341\n42650 64066\n88970 100000\n80661 100000\n94733 100000\n63665 95546\n78334 100000\n47672 71571\n47543 71372\n51174 76816\n62286 93489\n98298 100000\n45444 68232\n22733 34190\n29674 44594\n53871 80858\n20075 30201\n67569 100000\n22904 34446\n50147 75290\n80803 100000\n40344 60604\n28508 42835\n59701 89623\n31823 47856\n18738 28196\n11093 16700\n49446 74249\n53260 79932\n55458 83241\n49982 75050\n11802 17799\n26335 39578\n77723 100000\n2583 3897\n16030 24098\n23053 34664\n32295 48580\n93531 100000\n41953 63018\n19427 29220\n44189 66356\n89153 100000\n93959 100000\n56720 85111\n53441 80207\n19508 29339\n84031 100000\n24381 36663\n31308 47075\n26891 40411\n72480 100000\n27608 41492\n91948 100000\n670 1018\n51364 77107\n97962 100000\n26742 40182\n19501 29328\n71414 100000\n5016 7528\n50815 76276\n17789 26764\n48419 72722\n55887 83883\n54371 81611\n57201 85853\n49992 75066\n35458 53301\n87997 100000\n22774 34249\n58123 87240\n69493 100000\n89669 100000\n34447 51791\n4729 7097\n43542 65390\n45328 68057\n16852 25335\n42509 63848\n53786 80724\n98030 100000\n15971 23999\n84179 100000\n22276 33510\n70066 100000\n26980 40536\n32559 48974\n2818 4254\n76790 100000\n5849 8777\n83065 100000\n82831 100000\n46162 69309\n74505 100000\n56122 84235\n51256 76938\n12312 18555\n16143 24272\n12013 18114\n43290 65008\n16167 24309\n15851 23823\n87643 100000\n37640 56596\n41626 62530\n38551 57967\n69106 100000\n69709 100000\n88905 100000\n55448 83223\n48806 73295\n15067 22685\n85757 100000\n45671 68564\n61429 92206\n78169 100000\n86432 100000\n17670 26579\n51344 77077\n29032 43628\n6566 9866\n37465 56336\n75218 100000\n66900 100000\n67160 100000\n70222 100000\n48347 72612\n67678 100000\n42060 63171\n79589 100000\n46445 69739\n87743 100000\n62674 94072\n29720 44669\n80874 100000\n31618 47552\n89930 100000\n20302 30547\n50482 75788\n56828 85285\n32136 48325\n12417 18712\n54529 81843\n18786 28269\n67433 100000\n33408 50242\n23245 34952\n78988 100000\n70037 100000\n90286 100000\n37260 56031\n10929 16457\n37176 55903\n8105 12213\n37681 56659\n77995 100000\n55681 83576\n20875 31415\n36633 55085\n71343 100000\n85327 100000\n76727 100000\n40363 60628\n70030 100000\n62449 93732\n55053 82623\n31590 47508\n89582 100000\n64844 97287\n76916 100000\n28633 43033\n69643 100000\n95192 100000\n73758 100000\n83845 100000\n16210 24375\n50179 75336\n10800 16263\n5561 8346\n92422 100000\n85990 100000\n73648 100000\n88782 100000\n22340 33604\n20679 31116\n21118 31768\n23745 35724\n45266 67961\n73373 100000\n40705 61147\n11847 17864\n72581 100000\n11587 17464\n24053 36179\n16086 24182\n61259 91959\n87404 100000\n14390 21672\n47382 71129\n97124 100000\n88634 100000\n53907 80912\n65263 97902\n82877 100000\n66393 99606\n30756 46230\n218 324\n79042 100000\n52176 78325\n80120 100000\n21133 31790\n76506 100000\n83549 100000\n58928 88458\n91647 100000\n21730 32688\n8969 13510\n59629 89510\n52333 78566\n14190 21362\n49050 73657\n12015 18117\n2054 3095\n17471 26275\n60261 90455\n41669 62592\n17627 26517\n6922 10415\n39341 59136\n50721 76140\n59465 89276\n9759 14695\n64206 96333\n92975 100000\n7688 11589\n25237 37942\n31315 47084\n19256 28965\n28152 42296\n64933 97412\n70812 100000\n93023 100000\n75380 100000\n87240 100000\n46642 70024\n18246 27456\n34912 52493\n89670 100000\n91829 100000\n35726 53705\n61534 92367\n94278 100000\n22356 33626\n94554 100000\n91737 100000\n87112 100000\n35624 53547\n49140 73795\n24265 36493\n87155 100000\n14653 22065\n6934 10433\n1547 2340\n29714 44658\n38127 57318\n65094 97645\n26059 39158\n72490 100000\n14429 21730\n15750 23663\n45742 68672\n60330 90559\n28560 42918\n68844 100000\n45946 68982\n5480 8229\n30877 46411\n28690 43113\n82975 100000\n18090 27224\n16892 25397\n58528 87851\n20799 31299\n75786 100000\n95512 100000\n94110 100000\n39906 59953\n93646 100000\n94273 100000\n54313 81533\n58118 87232\n50463 75762\n16032 24101\n36529 54936\n91081 100000\n62827 94308\n42464 63778\n35890 53948\n76066 100000\n51878 77874\n8678 13077\n64552 96850\n74141 100000\n14732 22182\n91899 100000\n76242 100000\n13956 21018\n17287 25997\n89048 100000\n58906 88427\n19487 29310\n18878 28408\n59128 88757\n37689 56672\n33604 50533\n77504 100000\n91918 100000\n75700 100000\n54684 82072\n14240 21438\n77116 100000\n17633 26526\n40201 60397\n73058 100000\n56600 84931\n61146 91788\n59090 88702\n30485 45810\n21480 32306\n17699 26624\n52310 78528\n63452 95224\n45037 67616\n12742 19193\n63270 94962\n48594 72989\n63925 95921\n12143 18306\n53293 79981\n96229 100000\n84260 100000\n73080 100000\n3815 5727\n1728 2617\n42638 64049\n26810 40289\n84010 100000\n87030 100000\n32951 49572\n91005 100000\n4061 6103\n92974 100000\n24518 36872\n97912 100000\n72719 100000\n46232 69414\n60608 90971\n98738 100000\n46940 70477\n17854 26862\n97000 100000\n64631 96966\n97946 100000\n22130 33289\n70903 100000\n50246 75442\n32496 48879\n52125 78251\n3319 4996\n83129 100000\n69205 100000\n15632 23497\n35811 53832\n70860 100000\n72205 100000\n98514 100000\n62873 94375\n38467 57840\n36283 54565\n89401 100000\n90194 100000\n35565 53463\n80876 100000\n60431 90708\n25106 37753\n36643 55104\n28561 42919\n75027 100000\n9535 14364\n26050 39146\n82662 100000\n60528 90852\n71165 100000\n7116 10723\n28734 43179\n1409 2123\n96327 100000\n66603 99917\n30272 45489\n58313 87532\n15867 23848\n389 582\n61991 93041\n73522 100000\n47714 71634\n60589 90943\n43992 66064\n3631 5445\n67511 100000\n45870 68869\n13896 20924\n48874 73398\n32079 48239\n45276 67977\n55440 83210\n45923 68945\n40838 61343\n23772 35765\n71614 100000\n75315 100000\n76898 100000\n91698 100000\n50298 75516\n90225 100000\n31440 47279\n9291 13998\n61561 92407\n26553 39894\n62895 94408\n73894 100000\n58530 87854\n21558 32416\n47462 71252\n33125 49829\n59364 89127\n34145 51349\n72508 100000\n60826 91309\n65694 98540\n46926 70458\n32754 49270\n85019 100000\n70615 100000\n94403 100000\n56804 85246\n97587 100000\n7452 11228\n5799 8701\n10595 15953\n66097 99154\n81190 100000\n86950 100000\n77293 100000\n36154 54355\n7031 10593\n1679 2540\n51996 78057\n61062 91668\n64378 96585\n89525 100000\n52141 78273\n57374 86107\n10204 15366\n2924 4413\n40719 61166\n29893 44920\n79030 100000\n6898 10379\n86157 100000\n50640 76016\n5223 7847\n16181 24330\n52031 78109\n74996 100000\n45960 69003\n84683 100000\n90717 100000\n32714 49211\n3514 5273\n32232 48484\n36167 54376\n4127 6194\n43143 64783\n37169 55892\n64447 96688\n45795 68753\n1929 2913\n31665 47623\n20868 31404\n9731 14655\n62880 94387\n2230 3367\n89566 100000\n96737 100000\n43982 66050\n81033 100000\n68734 100000\n43105 64727\n40252 60466\n97101 100000\n36858 55423\n34917 52500\n53181 79817\n25011 37607\n23672 35609\n33738 50736\n64457 96705\n12753 19209\n6869 10334\n61148 91791\n5302 7973\n83309 100000\n14677 22100\n18887 28421\n29404 44189\n23640 35559\n17476 26282\n35766 53764\n60785 91243\n80906 100000\n44534 66848\n10976 16526\n48383 72667\n336 505\n4091 6142\n99875 100000\n19454 29259\n56848 85318\n18160 27328\n71132 100000\n44800 67246\n87906 100000\n22578 33960\n46589 69947\n12795 19272\n19312 29051\n54691 82084\n15831 23790\n38055 57206\n85909 100000\n69928 100000\n48216 72413\n70701 100000\n4390 6588\n92592 100000\n14660 22077\n2750 4155\n18200 27389\n16698 25108\n47547 71378\n26895 40416\n71480 100000\n46482 69796\n40972 61544\n73057 100000\n76662 100000\n99846 100000\n31292 47051\n1751 2655\n82387 100000\n60899 91421\n44325 66550\n4795 7195\n25133 37790\n31044 46672\n99273 100000\n23663 35595\n47488 71292\n7696 11602\n65782 98670\n76430 100000\n26558 39901\n52679 79082\n2472 3737\n30670 46098\n89847 100000\n60894 91414\n58967 88516\n72103 100000\n94938 100000\n22153 33327\n44039 66133\n19221 28911\n77069 100000\n11709 17656\n40348 60608\n36427 54781\n85022 100000\n35715 53689\n8398 12662\n85856 100000\n42567 63934\n36632 55083\n47541 71369\n61085 91702\n95276 100000\n92447 100000\n23803 35813\n7112 10719\n8443 12729\n2841 4289\n58858 88354\n52609 78974\n17357 26111\n7899 11899\n17885 26913\n96074 100000\n74903 100000\n53688 80570\n54717 82121\n27681 41600\n41378 62148\n83993 100000\n45077 67671\n43808 65792\n61931 92956\n34761 52265\n14841 22347\n24640 37059\n7352 11077\n92410 100000\n52568 78914\n54793 82241\n97288 100000\n64965 97458\n86540 100000\n96194 100000\n23478 35307\n74387 100000\n50515 75836\n14827 22330\n88561 100000\n40256 60471\n87274 100000\n42621 64024\n38337 57645\n7950 11980\n67850 100000\n29357 44119\n49521 74366\n39016 58663\n86341 100000\n13684 20596\n44890 67381\n62702 94116\n629 957\n47500 71308\n59152 88794\n10810 16276\n76866 100000\n25415 38212\n94967 100000\n9148 13774\n15892 23888\n47475 71271\n30041 45136\n69176 100000\n44700 67096\n44765 67196\n8968 13509\n80656 100000\n18120 27271\n10036 15112\n77623 100000\n85656 100000\n14250 21454\n5525 8296\n41618 62516\n41256 61965\n57786 86731\n38275 57545\n27162 40816\n81092 100000\n63309 95014\n63543 95362\n41433 62234\n14345 21605\n74292 100000\n20242 30453\n32482 48856\n5818 8732\n66487 99744\n55012 82565\n7962 11995\n46713 70128\n77324 100000\n51362 77103\n97735 100000\n75274 100000\n52921 79437\n21918 32973\n89050 100000\n22694 34129\n42004 63092\n57012 85563\n11925 17980\n87318 100000\n26170 39328\n17769 26734\n22931 34481\n59539 89378\n65717 98573\n69734 100000\n38286 57563\n26579 39931\n23191 34873\n64729 97116\n65122 97689\n73620 100000\n43077 64688\n97252 100000\n29252 43958\n20299 30543\n35004 52624\n55020 82576\n18104 27247\n50526 75851\n67825 100000\n94986 100000\n80643 100000\n50123 75252\n50680 76078\n61905 92920\n95553 100000\n76515 100000\n34870 52431\n91709 100000\n69258 100000\n1742 2640\n1584 2393\n65679 98517\n8908 13418\n26821 40306\n50006 75089\n81305 100000\n834 1266\n55096 82690\n85494 100000\n76521 100000\n55730 83650\n56364 84592\n7803 11759\n94601 100000\n535 812\n67519 100000\n96336 100000\n16354 24588\n19259 28969\n65115 97678\n18375 27650\n84497 100000\n28032 42121\n75632 100000\n10502 15821\n41095 61725\n86237 100000\n45811 68779\n46714 70130\n6603 9924\n73115 100000\n6612 9935\n5346 8035\n24468 36794\n3545 5319\n87185 100000\n62128 93251\n46579 69937\n92498 100000\n76359 100000\n4966 7448\n53998 81046\n72015 100000\n50187 75351\n94854 100000\n91534 100000\n57840 86809\n80796 100000\n12539 18888\n29189 43866\n76398 100000\n44403 66659\n90621 100000\n24885 37420\n31071 46711\n23794 35797\n77818 100000\n16618 24987\n74200 100000\n29902 44933\n87026 100000\n63307 95012\n47876 71875\n62143 93274\n39386 59203\n91818 100000\n14003 21084\n57951 86976\n94770 100000\n63727 95630\n82812 100000\n14538 21895\n31912 47989\n13928 20974\n6321 9489\n16782 25230\n6744 10145\n12945 19501\n13808 20785\n18508 27848\n28546 42896\n93379 100000\n74302 100000\n87566 100000\n36951 55566\n92657 100000\n27921 41958\n16038 24113\n44909 67413\n66057 99095\n61355 92095\n75029 100000\n84699 100000\n98145 100000\n28209 42377\n10384 15650\n8207 12368\n30522 45872\n14561 21924\n1611 2433\n73918 100000\n3795 5696\n22972 34547\n30801 46290\n23782 35780\n81388 100000\n42483 63809\n67858 100000\n16200 24360\n49383 74157\n61031 91620\n71048 100000\n98447 100000\n92142 100000\n96085 100000\n56274 84466\n19719 29655\n88522 100000\n85545 100000\n51644 77517\n84434 100000\n47221 70886\n55987 84035\n44081 66196\n39996 60089\n31210 46928\n94172 100000\n90606 100000\n85307 100000\n28076 42183\n64033 96078\n42282 63504\n33357 50165\n99767 100000\n61499 92314\n87367 100000\n85816 100000\n16055 24137\n25105 37751\n99109 100000\n82797 100000\n34124 51318\n51859 77838\n33788 50808\n5989 8988\n93175 100000\n40466 60782\n84436 100000\n54400 81652\n28035 42125\n73154 100000\n25865 38881\n75345 100000\n5782 8674\n37561 56481\n32594 49034\n37392 56228\n65227 97847\n30851 46370\n16962 25506\n91986 100000\n70474 100000\n99178 100000\n85734 100000\n7292 10989\n77663 100000\n60682 91088\n50333 75569\n53705 80599\n59857 89853\n8665 13055\n53245 79909\n62671 94069\n69901 100000\n81491 100000\n31977 48087\n8389 12647\n85227 100000\n89155 100000\n84125 100000\n80327 100000\n66301 99466\n43081 64693\n51947 77977\n42184 63352\n35955 54046\n47218 70882\n19772 29733\n61274 91980\n91109 100000\n42311 63548\n88005 100000\n33500 50374\n4692 7040\n47415 71180\n236 350\n88256 100000\n37210 55956\n27711 41649\n47518 71333\n27465 41281\n8951 13483\n10918 16441\n22577 33958\n18353 27618\n85395 100000\n18407 27697\n14428 21728\n68997 100000\n98509 100000\n49651 74562\n19439 29236\n51942 77970\n80066 100000\n42594 63983\n26786 40251\n13824 20816\n25286 38021\n98920 100000\n40398 60682\n69917 100000\n23578 35465\n62367 93607\n70229 100000\n42108 63239\n68194 100000\n83949 100000\n97374 100000\n84490 100000\n49520 74365\n34497 51862\n78832 100000\n36442 54806\n77341 100000\n30949 46525\n12154 18320\n51363 77105\n43973 66037\n9067 13656\n90719 100000\n48545 72918\n2489 3763\n49468 74282\n94492 100000\n82142 100000\n40392 60674\n42706 64148\n17626 26515\n76270 100000\n79826 100000\n83231 100000\n32190 48416\n91120 100000\n97195 100000\n29935 44981\n55533 83351\n6427 9664\n14938 22486\n14607 21996\n58360 87603\n44935 67457\n20891 31439\n8081 12179\n38508 57903\n32062 48215\n7206 10858\n67800 100000\n12357 18622\n35376 53180\n24729 37191\n39241 58979\n87935 100000\n93139 100000\n41909 62954\n87421 100000\n74109 100000\n20223 30419\n13588 20455\n19206 28890\n61707 92623\n54850 82322\n8122 12237\n41835 62839\n52660 79053\n48578 72965\n77878 100000\n62284 93486\n49634 74538\n40938 61494\n35640 53572\n5478 8226\n42203 63381\n42099 63226\n92869 100000\n44291 66499\n55081 82666\n9662 14556\n16488 24784\n84776 100000\n24354 36623\n68218 100000\n21725 32680\n1537 2324\n68176 100000\n61474 92277\n45501 68317\n94790 100000\n5362 8058\n91832 100000\n85251 100000\n97344 100000\n57769 86703\n39606 59520\n91266 100000\n78256 100000\n90852 100000\n55584 83429\n59911 89933\n57436 86196\n56349 84567\n51142 76767\n90158 100000\n71076 100000\n43791 65765\n82946 100000\n92466 100000\n71387 100000\n87474 100000\n50055 75158\n67025 100000\n70967 100000\n24899 37442\n65818 98726\n73691 100000\n93365 100000\n81308 100000\n92026 100000\n311 465\n63645 95514\n93463 100000\n72342 100000\n57107 85711\n70376 100000\n80996 100000\n73917 100000\n8759 13191\n23476 35304\n88840 100000\n27764 41728\n70397 100000\n52248 78435\n37991 57116\n42111 63243\n26796 40264\n68560 100000\n3677 5515\n39706 59671\n35400 53212\n6142 9221\n93165 100000\n8163 12298\n94842 100000\n49302 74038\n18819 28319\n57773 86710\n49385 74160\n58278 87474\n49726 74668\n22830 34334\n64123 96212\n20066 30186\n74443 100000\n73699 100000\n53716 80613\n12119 18275\n51239 76911\n59769 89727\n72429 100000\n70910 100000\n80904 100000\n36415 54767\n87843 100000\n7223 10882\n68408 100000\n59600 89466\n35542 53427\n42893 64420\n24385 36669\n32366 48684\n42208 63388\n57437 86197\n19768 29726\n1124 1701\n69896 100000\n84162 100000\n75819 100000\n65498 98250\n74345 100000\n95806 100000\n50808 76264\n15175 22832\n38510 57905\n19673 29582\n2972 4483\n1473 2220\n85223 100000\n56564 84881\n78332 100000\n70682 100000\n79118 100000\n16535 24859\n42553 63914\n14981 22552\n5481 8230\n80729 100000\n67398 100000\n59884 89893\n66983 100000\n88331 100000\n69736 100000\n68289 100000\n9793 14748\n28982 43554\n26217 39400\n78660 100000\n40573 60947\n49094 73725\n53050 79624\n48373 72650\n17253 25940\n32647 49117\n36768 55287\n75976 100000\n8902 13407\n68453 100000\n55099 82695\n85541 100000\n96854 100000\n6647 9995\n61885 92889\n47411 71175\n48709 73162\n77699 100000\n12903 19439\n82275 100000\n1067 1613\n66919 100000\n56340 84556\n43217 64891\n8254 12441\n86459 100000\n58994 88558\n24286 36525\n76832 100000\n34015 51157\n71487 100000\n86867 100000\n54157 81288\n15967 23991\n80481 100000\n11646 17558\n43870 65885\n45684 68585\n48154 72319\n76262 100000\n92593 100000\n87194 100000\n16549 24882\n20307 30554\n30465 45782\n4274 6413\n47859 71846\n88572 100000\n43541 65389\n62263 93455\n52489 78799\n64369 96571\n49565 74429\n84900 100000\n39692 59649\n91336 100000\n71410 100000\n51757 77687\n56889 85378\n54644 82012\n15504 23309\n32387 48715\n70768 100000\n38559 57980\n24823 37328\n34821 52360\n72280 100000\n41556 62421\n44919 67430\n66357 99550\n16291 24496\n73782 100000\n63028 94604\n70630 100000\n9239 13915\n49801 74780\n5833 8754\n83389 100000\n43496 65322\n197 292\n16399 24655\n69479 100000\n94740 100000\n91069 100000\n51289 76989\n61630 92503\n64837 97277\n28735 43180\n33290 50067\n39337 59130\n38664 58129\n86386 100000\n23043 34650\n53943 80963\n92872 100000\n7927 11943\n95510 100000\n96519 100000\n57844 86814\n97992 100000\n49512 74354\n71757 100000\n78865 100000\n86619 100000\n69360 100000\n937 1422\n36319 54620\n86654 100000\n21071 31699\n16722 25142\n96002 100000\n92225 100000\n89758 100000\n35160 52852\n26137 39279\n80524 100000\n79337 100000\n48380 72661\n53507 80302\n3852 5783\n28934 43480\n5775 8662\n77617 100000\n21087 31724\n68813 100000\n73892 100000\n25797 38774\n42190 63360\n53695 80581\n45413 68187\n90328 100000\n6269 9410\n22083 33220\n3700 5548\n56572 84892\n14922 22463\n11370 17120\n74229 100000\n18700 28136\n39989 60078\n79366 100000\n25285 38020\n94438 100000\n82547 100000\n41764 62729\n99753 100000\n79968 100000\n29366 44132\n20572 30956\n94915 100000\n86003 100000\n93152 100000\n32202 48434\n29708 44649\n29108 43742\n78816 100000\n57854 86829\n41156 61812\n69776 100000\n61897 92906\n9192 13843\n47498 71305\n15836 23799\n35929 54007\n93510 100000\n91046 100000\n19398 29178\n40928 61480\n22157 33332\n298 445\n11861 17886\n39933 59991\n78045 100000\n82368 100000\n24418 36719\n69028 100000\n8367 12615\n74718 100000\n89496 100000\n52064 78159\n71082 100000\n88741 100000\n72324 100000\n69143 100000\n89262 100000\n65839 98757\n63397 95146\n82324 100000\n44351 66585\n70227 100000\n10555 15895\n38458 57826\n20754 31232\n57837 86805\n54971 82502\n73129 100000\n79142 100000\n3519 5280\n48785 73266\n57672 86555\n12171 18344\n60548 90879\n88328 100000\n28172 42327\n27212 40894\n8145 12274\n1196 1807\n60369 90616\n95630 100000\n73589 100000\n46059 69151\n74977 100000\n41004 61586\n83459 100000\n18255 27471\n29422 44220\n505 763\n4047 6081\n52755 79188\n33324 50119\n42446 63750\n72077 100000\n27766 41732\n32056 48205\n93388 100000\n34550 51935\n21260 31984\n85936 100000\n7274 10962\n99281 100000\n98925 100000\n10326 15562\n43453 65259\n42710 64154\n1032 1564\n52730 79154\n99956 100000\n26304 39528\n15809 23757\n14166 21322\n88225 100000\n23882 35937\n49375 74146\n87992 100000\n24166 36349\n20015 30110\n87219 100000\n9187 13835\n22804 34293\n79621 100000\n97781 100000\n57801 86751\n90560 100000\n5577 8367\n86790 100000\n57568 86398\n97902 100000\n26084 39200\n53294 79982\n51813 77769\n2973 4484\n8278 12477\n68184 100000\n26359 39615\n3546 5320\n40512 60848\n43869 65883\n64395 96610\n2975 4487\n81500 100000\n12680 19097\n96591 100000\n92213 100000\n68413 100000\n64887 97352\n80312 100000\n648 983\n2586 3902\n67107 100000\n70765 100000\n39316 59097\n10158 15298\n91958 100000\n74304 100000\n70457 100000\n50859 76342\n55955 83987\n27813 41802\n76463 100000\n47934 71971\n13134 19779\n85154 100000\n4202 6307\n18719 28165\n82775 100000\n54266 81457\n22404 33695\n30963 46548\n96616 100000\n10908 16424\n48554 72933\n41141 61788\n16505 24813\n79830 100000\n77684 100000\n6467 9725\n53596 80435\n67444 100000\n44374 66619\n58462 87753\n4406 6613\n47700 71614\n85533 100000\n28293 42506\n72484 100000\n45574 68423\n47919 71948\n37839 56895\n65988 98984\n87103 100000\n47031 70610\n90048 100000\n32203 48436\n83746 100000\n50222 75407\n50183 75343\n11509 17344\n41337 62084\n31229 46957\n66462 99710\n59151 88792\n88951 100000\n78001 100000\n82189 100000\n27014 40592\n17201 25864\n35721 53698\n45841 68823\n17583 26446\n90256 100000\n30687 46127\n87631 100000\n75664 100000\n58663 88053\n33765 50776\n71752 100000\n88822 100000\n94813 100000\n21112 31760\n623 949\n75751 100000\n49262 73982\n39287 59050\n800 1213\n21278 32013\n99877 100000\n25393 38177\n45186 67834\n70604 100000\n17828 26824\n24137 36304\n25962 39021\n87702 100000\n72728 100000\n86834 100000\n95250 100000\n36298 54587\n32220 48465\n43685 65606\n26716 40139\n46650 70037\n6273 9416\n97879 100000\n46999 70562\n83271 100000\n76319 100000\n16987 25541\n56561 84878\n44334 66562\n70205 100000\n42914 64451\n86219 100000\n80951 100000\n68189 100000\n24662 37092\n43663 65575\n31956 48053\n27358 41112\n22988 34569\n60531 90856\n15196 22860\n51047 76623\n3094 4670\n19779 29744\n45991 69053\n47496 71303\n63999 96027\n77334 100000\n83654 100000\n9964 15000\n99010 100000\n79496 100000\n99914 100000\n75770 100000\n3580 5370\n70054 100000\n51571 77408\n77404 100000\n27825 41821\n97800 100000\n46627 69999\n68794 100000\n60020 90096\n84335 100000\n3053 4607\n350 525\n99854 100000\n24176 36363\n3336 5024\n57105 85708\n63039 94619\n42158 63313\n7786 11739\n69957 100000\n30346 45595\n23533 35391\n24338 36599\n4262 6394\n82241 100000\n59197 88862\n16322 24540\n68505 100000\n26960 40508\n5593 8397\n39275 59033\n90529 100000\n6107 9167\n77961 100000\n75759 100000\n78205 100000\n34133 51331\n95583 100000\n45590 68447\n14508 21852\n11825 17831\n96964 100000\n13750 20696\n46734 70160\n70632 100000\n24199 36397\n60237 90414\n88387 100000\n52639 79021\n44472 66757\n80984 100000\n86760 100000\n29082 43705\n69726 100000\n20630 31041\n12652 19055\n5216 7835\n57368 86097\n4541 6813\n46682 70085\n33184 49916\n90459 100000\n46154 69296\n71954 100000\n15279 22979\n79984 100000\n78819 100000\n51796 77745\n68202 100000\n92353 100000\n96848 100000\n73569 100000\n59614 89487\n96563 100000\n75932 100000\n6927 10421\n92555 100000\n46259 69457\n16408 24668\n84701 100000\n26397 39670\n78663 100000\n46828 70309\n8612 12978\n33509 50389\n7342 11060\n79849 100000\n11170 16820\n93590 100000\n10090 15194\n35267 53015\n27757 41717\n97454 100000\n9285 13989\n35928 54006\n76375 100000\n53505 80299\n69852 100000\n51314 77031\n12286 18512\n2998 4524\n57639 86505\n43325 65067\n2029 3060\n73403 100000\n38410 57752\n10585 15938\n93612 100000\n92394 100000\n45573 68422\n36696 55183\n8240 12422\n46521 69852\n15664 23543\n59816 89793\n16259 24449\n32977 49610\n95826 100000\n69844 100000\n29077 43697\n42643 64056\n28670 43082\n86185 100000\n70475 100000\n49 70\n7284 10978\n60834 91321\n29560 44425\n32157 48363\n43930 65972\n95499 100000\n61248 91945\n63576 95416\n39311 59088\n80019 100000\n49752 74708\n49408 74196\n35934 54015\n23583 35472\n95668 100000\n56602 84934\n82323 100000\n16807 25267\n53132 79742\n55630 83496\n24448 36760\n47036 70619\n70532 100000\n63043 94627\n97686 100000\n74986 100000\n9436 14220\n61478 92283\n80239 100000\n46187 69347\n12056 18177\n96882 100000\n17169 25815\n36402 54748\n46343 69586\n65907 98860\n95107 100000\n9819 14781\n71241 100000\n54060 81134\n88576 100000\n85961 100000\n94846 100000\n18607 27992\n76325 100000\n68569 100000\n53484 80271\n4852 7286\n19726 29665\n2930 4422\n39047 58706\n97909 100000\n64051 96106\n29842 44841\n12460 18776\n36665 55140\n85850 100000\n16767 25209\n24698 37144\n70077 100000\n43255 64955\n81490 100000\n52127 78254\n36325 54630\n86568 100000\n24394 36682\n93435 100000\n95959 100000\n43739 65688\n82985 100000\n45100 67707\n42035 63134\n85552 100000\n56204 84359\n9614 14482\n99670 100000\n30955 46535\n31955 48052\n98434 100000\n38900 58485\n93975 100000\n54757 82184\n69317 100000\n58440 87719\n84341 100000\n17343 26088\n64250 96397\n96966 100000\n99530 100000\n13978 21048\n85098 100000\n53468 80245\n60123 90252\n22104 33253\n42575 63948\n49266 73987\n85161 100000\n80412 100000\n26332 39573\n73609 100000\n52397 78666\n46291 69509\n4108 6167\n74239 100000\n62459 93746\n3274 4934\n26698 40111\n46256 69454\n65168 97760\n90786 100000\n57712 86620\n1202 1817\n39220 58944\n16222 24393\n44237 66420\n5336 8023\n98562 100000\n61129 91763\n62356 93590\n54261 81449\n86717 100000\n50232 75422\n83344 100000\n52265 78464\n57791 86737\n92779 100000\n43805 65787\n66368 99567\n26609 39974\n94882 100000\n25721 38665\n2130 3209\n75797 100000\n12935 19487\n76092 100000\n89161 100000\n31304 47069\n37763 56782\n24380 36661\n2834 4279\n99233 100000\n27632 41530\n57248 85921\n91695 100000\n18233 27438\n83229 100000\n9159 13791\n84746 100000\n11201 16866\n27323 41061\n8732 13148\n72114 100000\n94590 100000\n37027 55682\n8474 12775\n26067 39170\n64727 97114\n88191 100000\n58463 87754\n70257 100000\n73102 100000\n48021 72106\n12648 19048\n60342 90576\n53924 80936\n83390 100000\n21732 32690\n15636 23501\n74436 100000\n4175 6267\n74571 100000\n98634 100000\n36915 55512\n39757 59738\n61613 92478\n17438 26226\n72648 100000\n27943 41993\n15313 23030\n89270 100000\n77867 100000\n9672 14570\n18274 27501\n6970 10490\n55564 83401\n35915 53988\n5631 8451\n53400 80146\n91475 100000\n66012 99022\n55858 83840\n93552 100000\n29887 44911\n46636 70014\n653 988\n78350 100000\n60474 90772\n8889 13385\n36907 55500\n33745 50744\n51169 76810\n38089 57256\n9351 14092\n15521 23332\n58027 87094\n86809 100000\n85958 100000\n2143 3231\n55589 83435\n94810 100000\n33339 50140\n17137 25769\n17539 26383\n44471 66756\n2639 3989\n62182 93329\n61850 92835\n78063 100000\n70224 100000\n43809 65793\n24360 36634\n41488 62322\n4556 6832\n59055 88650\n32139 48330\n33539 50437\n10854 16340\n10621 15997\n82228 100000\n44888 67377\n21629 32534\n40193 60384\n62140 93269\n16333 24557\n91680 100000\n77744 100000\n47064 70655\n66079 99129\n78270 100000\n57877 86863\n32627 49086\n65912 98865\n33974 51091\n45900 68915\n75778 100000\n80868 100000\n48778 73257\n18158 27325\n79072 100000\n33345 50148\n40405 60693\n81540 100000\n85790 100000\n13388 20159\n16216 24385\n94591 100000\n86789 100000\n52683 79090\n73300 100000\n21816 32818\n25441 38254\n595 905\n10840 16320\n22226 33433\n37695 56680\n53893 80892\n5660 8491\n11504 17336\n91539 100000\n27796 41778\n37485 56368\n30068 45177\n96628 100000\n18987 28571\n98043 100000\n48816 73311\n60965 91525\n1382 2083\n65613 98418\n95863 100000\n12678 19093\n27385 41156\n98310 100000\n27699 41630\n99736 100000\n41821 62819\n63528 95339\n8697 13103\n44059 66164\n29809 44794\n41840 62848\n31138 46817\n23500 35340\n1951 2946\n81937 100000\n19110 28750\n44288 66496\n78564 100000\n79249 100000\n24016 36127\n18207 27400\n10304 15527\n76980 100000\n8525 12849\n3291 4956\n50595 75953\n91650 100000\n68249 100000\n90151 100000\n43884 65905\n90558 100000\n98329 100000\n14651 22061\n15773 23701\n91867 100000\n2772 4187\n820 1245\n75288 100000\n50 72\n22394 33680\n89376 100000\n83223 100000\n77659 100000\n45666 68557\n77187 100000\n38937 58541\n41251 61958\n76110 100000\n50611 75979\n51161 76797\n57876 86862\n71788 100000\n17102 25713\n13049 19654\n82118 100000\n9234 13908\n54746 82167\n55333 83052\n43561 65420\n95443 100000\n88937 100000\n27438 41242\n53791 80732\n75626 100000\n80577 100000\n16760 25197\n1245 1875\n63427 95194\n36316 54615\n21632 32538\n73323 100000\n55052 82621\n34854 52410\n74510 100000\n47469 71262\n49333 74084\n20997 31595\n88553 100000\n75469 100000\n60253 90440\n96441 100000\n47223 70890\n54220 81380\n88900 100000\n4022 6042\n52379 78640\n28322 42552\n78773 100000\n89374 100000\n92985 100000\n16528 24849\n36429 54785\n70157 100000\n90903 100000\n87626 100000\n81256 100000\n95989 100000\n64753 97149\n75975 100000\n33950 51055\n70271 100000\n20103 30246\n20577 30963\n75137 100000\n26863 40369\n65908 98861\n1379 2078\n26715 40138\n91100 100000\n73108 100000\n94948 100000\n39260 59008\n19691 29611\n19599 29472\n3693 5539\n89716 100000\n7409 11157\n64251 96399\n49063 73678\n46659 70050\n85024 100000\n58417 87685\n22895 34434\n12406 18694\n61895 92903\n43466 65278\n52084 78186\n22530 33884\n22587 33971\n84241 100000\n72534 100000\n8182 12330\n13989 21066\n85209 100000\n38949 58561\n12040 18154\n39507 59375\n59041 88629\n81328 100000\n80469 100000\n81235 100000\n89304 100000\n23574 35458\n24875 37406\n3328 5011\n51780 77721\n6035 9060\n22331 33592\n10575 15924\n65644 98463\n69184 100000\n87018 100000\n2395 3623\n34448 51792\n30962 46546\n33672 50634\n24510 36860\n51788 77734\n47803 71765\n17682 26598\n93908 100000\n67275 100000\n98837 100000\n94646 100000\n10390 15658\n47878 71877\n54711 82113\n50440 75728\n78352 100000\n40084 60221\n91092 100000\n29968 45031\n38445 57808\n49893 74920\n18474 27799\n91711 100000\n33956 51063\n3748 5622\n221 328\n80379 100000\n50722 76142\n285 427\n63010 94580\n71021 100000\n63801 95738\n26649 40033\n17352 26103\n85808 100000\n85478 100000\n68596 100000\n53419 80175\n58318 87539\n54579 81916\n18184 27363\n36331 54640\n49431 74228\n62040 93119\n23846 35880\n59081 88691\n64734 97124\n93459 100000\n83974 100000\n43751 65707\n32091 48257\n12176 18351\n52990 79542\n53808 80761\n82381 100000\n30423 45715\n48047 72152\n70291 100000\n71202 100000\n17353 26104\n98870 100000\n69058 100000\n94887 100000\n8373 12625\n50596 75954\n80639 100000\n27788 41766\n49781 74754\n55036 82601\n83112 100000\n58574 87924\n13773 20732\n13479 20293\n99256 100000\n64249 96395\n13875 20894\n93703 100000\n72430 100000\n78325 100000\n73193 100000\n8601 12962\n93700 100000\n40813 61306\n87246 100000\n64643 96984\n5791 8687\n37283 56066\n15904 23906\n5166 7760\n17236 25916\n10312 15538\n17204 25870\n49815 74799\n248 369\n80053 100000\n6440 9687\n83388 100000\n49126 73774\n75393 100000\n66220 99345\n98189 100000\n33958 51066\n50279 75489\n61218 91897\n40211 60410\n50132 75266\n61921 92943\n17217 25890\n75535 100000\n49925 74968\n42169 63329\n14451 21764\n32972 49603\n82035 100000\n35768 53768\n14994 22571\n78271 100000\n66949 100000\n37648 56610\n8750 13178\n92747 100000\n61690 92595\n2741 4143\n91390 100000\n93716 100000\n75579 100000\n60629 91007\n71467 100000\n66022 99036\n61073 91685\n33514 50398\n41281 62002\n37050 55714\n81946 100000\n40858 61374\n60316 90538\n47132 70751\n19650 29545\n24493 36835\n95043 100000\n4578 6870\n64191 96312\n97134 100000\n51049 76626\n80363 100000\n60579 90927\n24274 36506\n35248 52984\n94319 100000\n65372 98057\n47827 71800\n4363 6546\n41296 62024\n85462 100000\n36876 55451\n2738 4138\n62429 93703\n94965 100000\n94346 100000\n26278 39490\n18179 27354\n1934 2920\n60537 90864\n72316 100000\n26725 40154\n87961 100000\n21295 32040\n98371 100000\n37380 56211\n3117 4704\n66692 100000\n4800 7203\n97667 100000\n32777 49306\n49715 74651\n87197 100000\n26697 40109\n64476 96731\n88736 100000\n92653 100000\n44789 67231\n7524 11340\n11003 16565\n8200 12357\n484 729\n35858 53901\n53249 79917\n28721 43157\n9201 13856\n66663 100000\n95909 100000\n89695 100000\n49300 74035\n42988 64563\n67455 100000\n25612 38499\n17375 26137\n79096 100000\n23820 35838\n5353 8046\n88907 100000\n71525 100000\n39542 59426\n40799 61285\n35046 52686\n6218 9330\n59018 88597\n24145 36318\n12003 18097\n63781 95711\n83078 100000\n92878 100000\n50396 75660\n47279 70970\n11233 16917\n28947 43501\n79157 100000\n67713 100000\n77769 100000\n91268 100000\n96989 100000\n20878 31420\n60225 90395\n26939 40477\n3937 5910\n13482 20297\n66577 99882\n97921 100000\n57396 86140\n19896 29923\n44732 67142\n98141 100000\n42115 63249\n11079 16679\n75683 100000\n53320 80023\n35690 53651\n51951 77983\n306 457\n75921 100000\n28397 42669\n28219 42393\n29677 44599\n11450 17249\n72954 100000\n29613 44505\n94131 100000\n46813 70284\n61316 92039\n31902 47974\n97566 100000\n48733 73201\n61724 92646\n70186 100000\n61654 92546\n63141 94775\n7476 11265\n7677 11573\n30583 45964\n47858 71844\n90428 100000\n16613 24979\n76372 100000\n71053 100000\n66360 99555\n97703 100000\n36573 54996\n56417 84669\n35008 52631\n18706 28144\n57179 85818\n24803 37301\n96900 100000\n98518 100000\n71648 100000\n93691 100000\n11056 16648\n7042 10608\n16509 24820\n61996 93048\n18418 27713\n61790 92746\n42767 64238\n48423 72728\n95124 100000\n97674 100000\n16552 24886\n19568 29428\n24767 37246\n44202 66373\n65150 97733\n43480 65299\n26301 39523\n83400 100000\n48736 73205\n95343 100000\n90541 100000\n66334 99515\n60522 90843\n19145 28801\n13046 19650\n44837 67302\n44889 67379\n18967 28541\n51428 77199\n34319 51602\n41622 62524\n4142 6215\n23730 35701\n77398 100000\n59789 89753\n19703 29632\n46649 70035\n16671 25068\n20817 31328\n93313 100000\n53261 79934\n93390 100000\n57668 86550\n76352 100000\n82163 100000\n7475 11264\n28870 43386\n12500 18829\n33802 50829\n30370 45633\n86667 100000\n84081 100000\n26929 40465\n62599 93963\n15877 23864\n32874 49456\n23018 34611\n40416 60709\n66132 99210\n87828 100000\n2246 3393\n73944 100000\n28998 43581\n81105 100000\n51263 76948\n39294 59059\n44679 67067\n36719 55215\n89437 100000\n96777 100000\n60251 90436\n66762 100000\n95591 100000\n67696 100000\n79917 100000\n49379 74151\n97705 100000\n83058 100000\n30698 46143\n8155 12289\n83391 100000\n37832 56885\n95923 100000\n75833 100000\n72542 100000\n45866 68861\n45711 68624\n33483 50352\n24389 36674\n12028 18138\n19886 29909\n18655 28066\n3222 4860\n16383 24633\n85948 100000\n73514 100000\n37806 56845\n31223 46950\n49783 74756\n33654 50604\n44854 67324\n46257 69455\n97817 100000\n39529 59408\n32912 49511\n26486 39798\n74233 100000\n54931 82443\n71064 100000\n88407 100000\n58225 87387\n35362 53162\n99517 100000\n96685 100000\n70217 100000\n93670 100000\n65010 97519\n93373 100000\n29785 44762\n11807 17807\n8366 12613\n15411 23173\n11269 16971\n23082 34711\n92522 100000\n90315 100000\n77325 100000\n24374 36654\n90700 100000\n30769 46249\n23332 35085\n43415 65201\n40480 60805\n68383 100000\n15456 23238\n49010 73595\n39528 59406\n31752 47750\n96903 100000\n67139 100000\n47793 71752\n26162 39318\n56085 84182\n10626 16003\n54843 82313\n1464 2206\n94186 100000\n84767 100000\n15 22\n8251 12437\n60732 91160\n52643 79028\n16589 24941\n73053 100000\n63005 94572\n89907 100000\n59261 88962\n84024 100000\n55221 82882\n55722 83639\n49283 74011\n13017 19608\n32809 49357\n73898 100000\n29546 44403\n80813 100000\n12008 18106\n15642 23510\n65896 98845\n89590 100000\n31251 46991\n35218 52941\n4720 7082\n20945 31520\n62595 93957\n44069 66179\n62431 93706\n13308 20041\n61210 91883\n94731 100000\n22033 33141\n59568 89424\n619 944\n71590 100000\n85934 100000\n53886 80880\n902 1370\n63594 95442\n85941 100000\n48664 73088\n48205 72395\n20369 30651\n68142 100000\n5694 8543\n8699 13105\n88548 100000\n18391 27673\n50369 75620\n91356 100000\n14745 22203\n80377 100000\n39684 59636\n92101 100000\n14170 21330\n62999 94563\n66432 99663\n54198 81346\n28456 42755\n87551 100000\n73797 100000\n36020 54148\n99499 100000\n34193 51422\n81058 100000\n14892 22422\n82050 100000\n98276 100000\n36559 54978\n15065 22681\n63213 94881\n31006 46610\n14331 21585\n10293 15510\n46944 70482\n55538 83359\n10413 15693\n77346 100000\n52212 78383\n38980 58609\n82447 100000\n41316 62053\n27705 41638\n53706 80600\n71123 100000\n9373 14129\n43179 64837\n81597 100000\n23670 35605\n9755 14689\n4348 6524\n67263 100000\n25062 37686\n41195 61871\n42467 63782\n90203 100000\n2474 3740\n845 1283\n45 66\n60379 90631\n9060 13647\n4078 6126\n14256 21462\n2223 3355\n7820 11784\n41423 62219\n12478 18799\n27834 41834\n26887 40405\n92857 100000\n71828 100000\n2982 4497\n3602 5404\n69748 100000\n32973 49605\n47633 71507\n62808 94279\n19979 30054\n53388 80129\n64214 96342\n88726 100000\n14131 21265\n44120 66257\n9822 14784\n91196 100000\n10587 15942\n38201 57432\n29431 44234\n95296 100000\n39211 58932\n88505 100000\n62179 93326\n90291 100000\n57517 86319\n81197 100000\n18406 27696\n86348 100000\n81234 100000\n79702 100000\n70707 100000\n70191 100000\n85416 100000\n36359 54679\n87281 100000\n19746 29696\n22955 34519\n2355 3563\n34462 51814\n62920 94446\n79787 100000\n28218 42391\n57136 85752\n13664 20568\n9181 13826\n36179 54394\n67404 100000\n29805 44788\n39119 58809\n72877 100000\n26926 40461\n26322 39558\n14283 21505\n39944 60010\n39064 58728\n30 41\n16729 25152\n96762 100000\n20795 31293\n73515 100000\n80587 100000\n51355 77092\n36329 54637\n88116 100000\n20925 31492\n6163 9250\n33158 49881\n17956 27016\n91991 100000\n78104 100000\n31679 47643\n27370 41131\n57370 86100\n91276 100000\n15384 23130\n10379 15643\n66415 99639\n7535 11361\n15682 23568\n98705 100000\n86560 100000\n15561 23388\n49053 73661\n5120 7684\n65199 97807\n62516 93829\n42127 63264\n62898 94414\n79525 100000\n82988 100000\n16638 25016\n26653 40040\n62341 93567\n84323 100000\n72115 100000\n96749 100000\n46989 70545\n40610 61006\n51595 77444\n6294 9450\n19270 28986\n42561 63925\n74858 100000\n45162 67798\n17256 25945\n94780 100000\n78744 100000\n80659 100000\n92892 100000\n44953 67485\n15139 22784\n41432 62232\n26007 39084\n19079 28708\n22906 34449\n95021 100000\n27116 40749\n3539 5311\n11611 17501\n95996 100000\n9252 13939\n6382 9591\n37960 57069\n36989 55625\n55232 82895\n28983 43556\n13826 20819\n2455 3709\n16070 24158\n87336 100000\n60947 91494\n8193 12345\n87883 100000\n16004 24056\n8823 13291\n29034 43632\n38801 58337\n28510 42838\n43291 65010\n45929 68954\n72847 100000\n70145 100000\n10790 16250\n35188 52897\n87633 100000\n68744 100000\n85215 100000\n59685 89598\n88779 100000\n39793 59786\n11283 16991\n50492 75803\n66066 99109\n17061 25656\n55164 82798\n45555 68396\n60042 90128\n21258 31982\n6966 10483\n47983 72049\n44232 66414\n36461 54834\n35783 53790\n65549 98324\n63275 94968\n24298 36541\n85679 100000\n37793 56825\n99084 100000\n53110 79710\n49430 74226\n44305 66521\n57000 85542\n6009 9017\n89608 100000\n93792 100000\n91599 100000\n69027 100000\n73982 100000\n22924 34472\n83001 100000\n69017 100000\n87868 100000\n19525 29364\n99870 100000\n83279 100000\n26479 39789\n65837 98754\n37899 56987\n73698 100000\n13107 19739\n87646 100000\n65175 97771\n43769 65734\n51040 76612\n95840 100000\n60696 91110\n7261 10940\n51277 76971\n53923 80935\n74481 100000\n84578 100000\n10990 16547\n96288 100000\n44718 67122\n53257 79928\n79739 100000\n13037 19637\n29490 44316\n99939 100000\n37220 55970\n30077 45191\n97060 100000\n98425 100000\n71908 100000\n51254 76935\n84377 100000\n66394 99608\n31997 48118\n4745 7119\n14442 21752\n31035 46657\n36825 55368\n52366 78617\n15854 23827\n85750 100000\n14713 22152\n44188 66355\n56222 84388\n28693 43116\n38063 57216\n48152 72316\n31092 46743\n54816 82274\n50379 75634\n6465 9722\n74686 100000\n5226 7851\n73605 100000\n10322 15555\n51187 76836\n64356 96552\n81476 100000\n77251 100000\n32236 48492\n65377 98063\n47910 71932\n29869 44885\n47176 70818\n3881 5824\n18276 27504\n63879 95853\n88533 100000\n57767 86701\n77321 100000\n99358 100000\n95201 100000\n78811 100000\n85113 100000\n53833 80797\n85246 100000\n72477 100000\n63556 95384\n79856 100000\n7335 11051\n78635 100000\n75008 100000\n5236 7867\n79671 100000\n66128 99205\n96159 100000\n14724 22168\n14635 22036\n81225 100000\n80683 100000\n56093 84193\n47331 71057\n80389 100000\n10203 15365\n98151 100000\n20265 30490\n86737 100000\n98598 100000\n40924 61472\n20141 30300\n58898 88415\n77557 100000\n37846 56906\n44390 66640\n55989 84038\n70025 100000\n45304 68019\n46569 69922\n88939 100000\n85191 100000\n31726 47712\n74296 100000\n54960 82487\n26208 39387\n9129 13746\n46038 69123\n77887 100000\n42975 64545\n32565 48986\n15995 24042\n75740 100000\n45563 68407\n33603 50531\n57915 86923\n13267 19976\n81076 100000\n86310 100000\n77930 100000\n16155 24292\n86771 100000\n30783 46268\n71881 100000\n12373 18647\n80085 100000\n19009 28604\n98182 100000\n67852 100000\n71228 100000\n69422 100000\n66392 99605\n13874 20892\n60381 90635\n75731 100000\n65802 98704\n18590 27968\n37747 56760\n89767 100000\n18809 28303\n14002 21082\n5141 7717\n10161 15302\n20984 31576\n2856 4315\n65254 97890\n63746 95657\n62538 93863\n6232 9349\n3156 4762\n71204 100000\n14318 21564\n67080 100000\n15872 23857\n86965 100000\n998 1511\n79921 100000\n98805 100000\n95380 100000\n61043 91639\n67336 100000\n29695 44627\n64169 96278\n87269 100000\n77857 100000\n6643 9988\n43222 64901\n58488 87790\n35582 53486\n65699 98547\n63943 95945\n8981 13530\n16473 24763\n98591 100000\n41208 61890\n33173 49901\n58341 87575\n71725 100000\n34851 52404\n2908 4391\n8429 12707\n32687 49171\n81886 100000\n65352 98027\n82092 100000\n19076 28705\n6642 9986\n12744 19197\n43057 64657\n50120 75247\n93829 100000\n1088 1647\n4134 6204\n98931 100000\n76315 100000\n76731 100000\n35347 53138\n11726 17685\n18389 27670\n81455 100000\n2727 4122\n45043 67624\n48342 72605\n80400 100000\n60600 90960\n44356 66593\n73631 100000\n83498 100000\n28438 42731\n47577 71419\n5208 7824\n98746 100000\n19649 29544\n55260 82940\n61163 91813\n92699 100000\n11625 17525\n43471 65285\n82768 100000\n84980 100000\n94875 100000\n92628 100000\n18521 27868\n73192 100000\n67804 100000\n91819 100000\n22077 33210\n80345 100000\n7009 10557\n55908 83915\n27804 41790\n38247 57503\n17272 25972\n79116 100000\n95866 100000\n55492 83288\n14255 21461\n81449 100000\n29993 45068\n34794 52315\n44165 66325\n2225 3358\n86351 100000\n45130 67753\n4524 6787\n93982 100000\n75500 100000\n7328 11039\n77080 100000\n75215 100000\n47514 71328\n7544 11373\n22439 33749\n6337 9516\n34652 52093\n60452 90740\n87919 100000\n54726 82135\n50275 75483\n49909 74943\n94473 100000\n45324 68052\n41392 62167\n65346 98019\n28859 43372\n49620 74515\n76235 100000\n95925 100000\n9846 14818\n21168 31845\n70628 100000\n79431 100000\n77868 100000\n60449 90737\n9839 14809\n52842 79317\n40295 60530\n90426 100000\n24101 36249\n30918 46473\n19865 29878\n23536 35394\n44033 66124\n18895 28432\n91492 100000\n6745 10146\n8000 12057\n59395 89174\n80962 100000\n88311 100000\n19834 29829\n97582 100000\n51388 77144\n39792 59785\n32863 49438\n19679 29593\n50303 75522\n90706 100000\n27915 41949\n53734 80642\n70130 100000\n80920 100000\n18505 27845\n6940 10441\n46851 70348\n475 717\n79036 100000\n82367 100000\n44883 67370\n16657 25045\n40399 60684\n95222 100000\n42016 63106\n90014 100000\n13610 20486\n60918 91451\n14233 21428\n42522 63869\n47493 71300\n68437 100000\n32907 49502\n43987 66057\n69921 100000\n2524 3812\n8479 12780\n4583 6877\n31899 47968\n70766 100000\n70798 100000\n6769 10183\n29228 43930\n75356 100000\n30957 46538\n88938 100000\n24405 36699\n99519 100000\n78485 100000\n6485 9749\n20372 30654\n96650 100000\n25816 38803\n20846 31370\n15484 23281\n28889 43409\n72874 100000\n46959 70504\n22421 33719\n63933 95932\n25600 38480\n71050 100000\n5662 8495\n89187 100000\n73721 100000\n75738 100000\n30582 45962\n78544 100000\n11067 16663\n13583 20448\n21193 31883\n29642 44546\n97117 100000\n8361 12603\n58498 87806\n39226 58955\n75341 100000\n46142 69276\n852 1294\n21860 32884\n4456 6685\n51164 76802\n3851 5781\n636 967\n49485 74309\n54072 81154\n35634 53565\n36564 54985\n1734 2628\n66612 99930\n51982 78035\n73654 100000\n77929 100000\n14326 21577\n16028 24095\n82803 100000\n62467 93757\n41466 62284\n90751 100000\n44460 66740\n53026 79589\n68210 100000\n30226 45417\n91531 100000\n13518 20346\n4840 7266\n57548 86368\n82204 100000\n81096 100000\n80394 100000\n45335 68066\n36479 54860\n36067 54223\n46043 69129\n80808 100000\n40481 60807\n70294 100000\n83585 100000\n93947 100000\n37853 56918\n18801 28292\n63964 95977\n42595 63985\n18159 27326\n57234 85902\n37211 55957\n27565 41426\n94133 100000\n73143 100000\n55279 82968\n48204 72394\n16981 25534\n9853 14829\n9667 14563\n41921 62972\n24411 36709\n64937 97418\n49449 74253\n44691 67085\n9498 14309\n39231 58964\n54557 81887\n83256 100000\n78795 100000\n88607 100000\n3789 5685\n76877 100000\n74518 100000\n28751 43203\n75440 100000\n63550 95373\n89494 100000\n14412 21706\n49085 73713\n58514 87829\n51552 77380\n25063 37687\n67285 100000\n1592 2406\n21396 32184\n73630 100000\n19532 29377\n3119 4707\n46616 69984\n34815 52351\n56191 84338\n61860 92851\n19855 29864\n20939 31510\n62244 93427\n40217 60418\n33695 50667\n81290 100000\n62697 94109\n21293 32038\n31741 47736\n5169 7764\n12392 18675\n76855 100000\n96498 100000\n43540 65388\n64689 97054\n31992 48112\n94794 100000\n17793 26770\n50466 75766\n68157 100000\n53366 80092\n92055 100000\n21913 32965\n21707 32655\n10666 16061\n43865 65879\n97584 100000\n36784 55309\n24741 37211\n48166 72337\n23159 34829\n96851 100000\n71395 100000\n43225 64906\n35970 54066\n83944 100000\n67182 100000\n34002 51137\n95005 100000\n35311 53085\n94114 100000\n54357 81592\n39735 59710\n51332 77059\n24616 37022\n70563 100000\n70590 100000\n52613 78980\n4620 6932\n22865 34390\n14157 21309\n20440 30756\n22186 33375\n18269 27495\n70006 100000\n56354 84575\n31146 46828\n39080 58755\n19814 29800\n4080 6129\n42225 63415\n40492 60822\n61779 92730\n64050 96104\n23382 35166\n54169 81306\n51110 76720\n54748 82170\n29970 45034\n61108 91734\n19083 28714\n13857 20869\n24063 36193\n27650 41557\n61816 92783\n50545 75879\n46380 69641\n33902 50981\n57979 87019\n18910 28453\n78676 100000\n48243 72453\n30276 45494\n33518 50406\n66563 99860\n89865 100000\n16357 24593\n69113 100000\n497 751\n97903 100000\n97567 100000\n62147 93282\n1802 2735\n66403 99620\n61415 92183\n69569 100000\n9026 13595\n82106 100000\n43823 65812\n59201 88868\n32954 49578\n37408 56252\n81510 100000\n28774 43238\n21086 31722\n56676 85040\n86612 100000\n36949 55563\n20427 30737\n66313 99482\n49324 74071\n78050 100000\n87861 100000\n27480 41304\n67643 100000\n84733 100000\n90495 100000\n60008 90078\n70991 100000\n80942 100000\n13110 19745\n88405 100000\n9933 14951\n28224 42400\n1600 2416\n51851 77829\n67621 100000\n28261 42459\n78956 100000\n50473 75776\n6723 10114\n56979 85512\n19054 28672\n68059 100000\n70811 100000\n68584 100000\n69780 100000\n25114 37764\n45559 68402\n78248 100000\n95308 100000\n58476 87773\n14004 21085\n22810 34303\n98622 100000\n42632 64039\n82382 100000\n66966 100000\n70333 100000\n24187 36378\n97820 100000\n59902 89919\n68947 100000\n8383 12639\n99813 100000\n71797 100000\n52316 78539\n25818 38806\n79412 100000\n59291 89013\n57669 86552\n60174 90322\n99637 100000\n19683 29600\n30994 46594\n52836 79308\n49357 74120\n27509 41342\n15621 23480\n19182 28859\n93201 100000\n90308 100000\n24995 37583\n45348 68086\n80852 100000\n90787 100000\n48084 72207\n74172 100000\n93751 100000\n366 550\n81475 100000\n56843 85310\n5330 8016\n72422 100000\n31183 46884\n92062 100000\n66461 99708\n5021 7537\n57215 85876\n72262 100000\n86541 100000\n45214 67876\n80385 100000\n92863 100000\n47608 71468\n7860 11842\n52102 78216\n59345 89097\n59000 88568\n62090 93192\n86810 100000\n33881 50949\n82651 100000\n82897 100000\n23387 35173\n68814 100000\n46325 69558\n80307 100000\n94748 100000\n25134 37792\n51753 77680\n22141 33308\n65934 98900\n87042 100000\n39753 59734\n20742 31214\n54383 81628\n43673 65589\n94341 100000\n53531 80339\n63680 95565\n84821 100000\n30447 45751\n4993 7494\n3342 5032\n32309 48601\n73009 100000\n10002 15058\n15450 23228\n92021 100000\n20757 31235\n90363 100000\n92944 100000\n5872 8814\n31479 47339\n76861 100000\n61999 93052\n62553 93887\n94330 100000\n29439 44243\n62791 94251\n18733 28188\n75840 100000\n69295 100000\n2366 3576\n52795 79246\n86738 100000\n7481 11274\n88891 100000\n45670 68563\n22522 33874\n35784 53791\n2749 4153\n82910 100000\n31182 46883\n69910 100000\n98258 100000\n68973 100000\n88461 100000\n44994 67553\n52958 79492\n98262 100000\n21964 33041\n1957 2955\n42091 63215\n39488 59345\n59321 89059\n5575 8365\n87244 100000\n75189 100000\n6324 9494\n6345 9528\n74675 100000\n25908 38943\n32189 48415\n60748 91185\n62881 94389\n46382 69643\n60993 91567\n53152 79773\n27831 41829\n41011 61596\n45095 67700\n47142 70765\n14267 21478\n70524 100000\n85862 100000\n32481 48854\n60830 91316\n46703 70113\n18911 28454\n48234 72440\n2925 4414\n22315 33569\n65523 98287\n66753 100000\n13410 20191\n64915 97389\n26659 40049\n54689 82080\n90423 100000\n95278 100000\n53146 79764\n16404 24661\n40701 61141\n325 487\n15616 23473\n79069 100000\n90421 100000\n60948 91495\n7938 11960\n81078 100000\n45357 68101\n7324 11033\n91808 100000\n40098 60242\n45301 68014\n63375 95113\n83088 100000\n79299 100000\n1649 2496\n17638 26534\n42805 64291\n56948 85466\n66362 99559\n94136 100000\n36922 55522\n23399 35191\n24243 36462\n71747 100000\n31986 48102\n26836 40331\n88267 100000\n52132 78259\n55347 83070\n52880 79371\n53753 80672\n64636 96973\n92835 100000\n86609 100000\n76576 100000\n30490 45818\n63785 95716\n13619 20499\n17732 26678\n78208 100000\n79087 100000\n32807 49355\n45763 68703\n70202 100000\n43585 65458\n95377 100000\n92331 100000\n17024 25596\n88070 100000\n94863 100000\n5388 8095\n11030 16609\n37807 56846\n86051 100000\n45636 68513\n52766 79208\n4869 7308\n59053 88646\n32159 48367\n37052 55717\n73138 100000\n87693 100000\n61349 92086\n80278 100000\n10603 15967\n79418 100000\n32263 48533\n86637 100000\n63960 95972\n41412 62200\n11784 17769\n82626 100000\n48246 72457\n23580 35468\n48184 72362\n78363 100000\n37514 56412\n81240 100000\n4737 7107\n11840 17854\n38571 57995\n46337 69577\n52404 78677\n8030 12100\n186 274\n7245 10915\n90681 100000\n67516 100000\n51740 77663\n66196 99306\n11774 17756\n53016 79575\n98951 100000\n48119 72260\n36352 54669\n83324 100000\n67619 100000\n165 246\n66124 99198\n39859 59883\n64540 96831\n74479 100000\n8896 13398\n814 1236\n20355 30629\n2233 3373\n58545 87875\n82262 100000\n36645 55107\n91857 100000\n35015 52641\n90249 100000\n49785 74759\n56094 84195\n81689 100000\n72493 100000\n84888 100000\n57486 86273\n49889 74915\n48511 72871\n90135 100000\n56345 84562\n75963 100000\n91718 100000\n63272 94965\n22930 34479\n49507 74345\n5653 8482\n17397 26170\n44019 66102\n78203 100000\n5722 8586\n37711 56703\n72183 100000\n38473 57848\n65762 98639\n53766 80692\n27578 41445\n2919 4405\n58526 87848\n19249 28953\n55145 82772\n48492 72841\n37038 55698\n28616 43007\n14593 21974\n55335 83054\n36703 55192\n72108 100000\n41144 61793\n32905 49499\n33115 49815\n70518 100000\n2560 3864\n52906 79412\n14709 22147\n35998 54113\n30291 45512\n40599 60987\n73928 100000\n92801 100000\n35532 53412\n76376 100000\n11879 17914\n66946 100000\n36029 54160\n2951 4452\n47576 71418\n52606 78971\n44990 67547\n66184 99287\n84491 100000\n63409 95164\n13878 20899\n63065 94663\n32424 48768\n46454 69754\n1801 2734\n20485 30827\n15510 23318\n32327 48628\n92308 100000\n57409 86157\n2559 3862\n67062 100000\n92967 100000\n1769 2682\n40848 61356\n30123 45261\n3019 4556\n66600 99913\n59092 88705\n84016 100000\n51052 76632\n94668 100000\n7906 11910\n27290 41012\n2206 3331\n40591 60975\n41951 63015\n43292 65012\n65233 97856\n8411 12680\n86826 100000\n22411 33705\n24402 36695\n84109 100000\n29734 44691\n58619 87990\n62129 93253\n78191 100000\n88053 100000\n12290 18517\n13895 20922\n90895 100000\n22484 33819\n37783 56812\n37174 55899\n86937 100000\n96388 100000\n36819 55359\n76102 100000\n22245 33463\n83782 100000\n11921 17975\n64770 97175\n19370 29136\n65503 98258\n33400 50229\n22877 34406\n63434 95201\n12132 18291\n44937 67460\n55712 83625\n74963 100000\n53336 80049\n254 379\n14775 22247\n10226 15401\n90846 100000\n39378 59191\n75723 100000\n5375 8077\n42235 63430\n38843 58401\n56496 84780\n45610 68478\n24409 36706\n94510 100000\n63185 94838\n22983 34561\n39832 59847\n80995 100000\n1287 1940\n27343 41091\n22978 34554\n52393 78659\n89404 100000\n87186 100000\n50952 76483\n30216 45406\n6084 9129\n89576 100000\n67013 100000\n28092 42206\n97162 100000\n25333 38086\n5956 8943\n14541 21899\n23590 35481\n33831 50876\n46199 69366\n35439 53273\n85108 100000\n40357 60619\n9281 13983\n5937 8914\n5179 7779\n47358 71093\n15649 23521\n80828 100000\n40031 60140\n94086 100000\n77407 100000\n46973 70522\n46175 69329\n7035 10597\n95228 100000\n12099 18246\n80106 100000\n2988 4507\n86168 100000\n88568 100000\n16730 25154\n67059 100000\n67981 100000\n78648 100000\n17360 26115\n72887 100000\n81794 100000\n64088 96161\n35445 53283\n69592 100000\n95217 100000\n18028 27129\n85115 100000\n78103 100000\n79600 100000\n8446 12734\n34831 52374\n1161 1756\n30497 45829\n92902 100000\n28599 42978\n40760 61226\n28109 42234\n30854 46374\n39185 58896\n75943 100000\n14303 21537\n35279 53034\n49601 74488\n11261 16959\n78530 100000\n72717 100000\n18563 27925\n96137 100000\n8056 12138\n50022 75114\n71632 100000\n27093 40714\n27967 42030\n34237 51487\n84461 100000\n83530 100000\n92229 100000\n73949 100000\n66538 99821\n11280 16987\n24862 37388\n89297 100000\n97687 100000\n89624 100000\n48361 72631\n78822 100000\n34143 51345\n97937 100000\n74772 100000\n24897 37438\n21956 33030\n45325 68054\n5831 8751\n40225 60429\n88935 100000\n47817 71785\n21626 32530\n52851 79328\n68076 100000\n3025 4566\n98631 100000\n93441 100000\n52085 78188\n90476 100000\n46278 69489\n8298 12510\n70874 100000\n94773 100000\n70479 100000\n68071 100000\n6191 9290\n27819 41811\n59188 88850\n65059 97593\n82596 100000\n27214 40896\n6049 9080\n84646 100000\n90300 100000\n23826 35849\n25047 37665\n6285 9435\n69781 100000\n72492 100000\n69635 100000\n64270 96429\n81107 100000\n92154 100000\n85801 100000\n58436 87713\n29537 44388\n11605 17491\n71551 100000\n64352 96546\n126 189\n59726 89662\n25178 37860\n16058 24140\n8322 12543\n46 67\n72967 100000\n46721 70139\n7942 11967\n18148 27313\n4341 6514\n10859 16349\n25935 38982\n39895 59933\n91529 100000\n44398 66652\n17701 26626\n85834 100000\n13184 19855\n30774 46256\n60057 90151\n38601 58039\n27087 40704\n54813 82270\n80040 100000\n63983 96004\n15330 23054\n46746 70180\n40247 60460\n54541 81862\n10303 15525\n97205 100000\n96425 100000\n14513 21859\n82750 100000\n8086 12185\n6955 10464\n9128 13744\n99856 100000\n13777 20737\n94865 100000\n94861 100000\n77212 100000\n95522 100000\n75049 100000\n49082 73708\n27571 41435\n47123 70738\n18324 27572\n80229 100000\n26187 39355\n43578 65448\n5649 8478\n17557 26407\n80253 100000\n97645 100000\n88853 100000\n73351 100000\n25233 37936\n16233 24410\n98176 100000\n81694 100000\n21432 32242\n15083 22708\n3301 4972\n35109 52778\n57565 86393\n17667 26575\n53701 80591\n62353 93584\n49937 74986\n90957 100000\n62401 93663\n77716 100000\n17578 26440\n31337 47122\n3581 5372\n55781 83728\n36506 54902\n36236 54491\n36530 54937\n87308 100000\n15013 22600\n63824 95774\n75010 100000\n45151 67781\n47305 71012\n30406 45689\n95524 100000\n10833 16310\n21781 32763\n1052 1592\n31963 48064\n43023 64612\n95485 100000\n35005 52626\n33653 50602\n17151 25788\n69996 100000\n13477 20291\n1187 1794\n96123 100000\n82827 100000\n86762 100000\n82075 100000\n89528 100000\n31236 46969\n84715 100000\n72844 100000\n64346 96538\n35391 53199\n52928 79446\n88724 100000\n28529 42869\n19511 29345\n43068 64674\n33998 51131\n64039 96087\n47898 71912\n24905 37452\n59313 89045\n15029 22624\n23424 35226\n39053 58714\n27160 40813\n47913 71937\n11761 17738\n49188 73868\n16521 24837\n78872 100000\n33579 50496\n72973 100000\n77875 100000\n52809 79269\n93295 100000\n92737 100000\n37383 56215\n58480 87779\n43864 65877\n59488 89308\n67731 100000\n76999 100000\n56405 84652\n77298 100000\n72421 100000\n68787 100000\n68433 100000\n54397 81647\n54160 81293\n87028 100000\n58504 87814\n21660 32579\n62979 94528\n8101 12205\n16420 24686\n60328 90557\n79129 100000\n39060 58723\n1589 2401\n71985 100000\n29580 44457\n9271 13967\n6790 10215\n9259 13948\n9609 14475\n33045 49711\n33591 50514\n72604 100000\n16395 24651\n43322 65062\n45557 68400\n81411 100000\n36343 54658\n31122 46793\n16646 25029\n71047 100000\n59831 89814\n84394 100000\n11438 17229\n55760 83695\n28353 42600\n86598 100000\n84316 100000\n60267 90465\n62578 93929\n76162 100000\n8798 13252\n41655 62574\n35856 53899\n14394 21678\n29391 44169\n89956 100000\n50838 76310\n77183 100000\n10470 15775\n64066 96126\n88694 100000\n55866 83851\n43534 65379\n11258 16955\n19313 29052\n49997 75074\n92742 100000\n12499 18828\n77054 100000\n45445 68233\n64619 96947\n25603 38484\n65202 97811\n96357 100000\n88219 100000\n68923 100000\n99472 100000\n92139 100000\n95972 100000\n16497 24799\n17719 26656\n44608 66960\n48561 72945\n15560 23386\n56587 84914\n13051 19656\n92695 100000\n44634 66999\n38406 57747\n34090 51266\n2126 3203\n267 401\n32414 48755\n68140 100000\n46686 70090\n10362 15617\n73257 100000\n20920 31484\n54161 81294\n37811 56852\n89790 100000\n51607 77461\n42775 64250\n31948 48042\n12631 19024\n26261 39465\n95135 100000\n66775 100000\n47173 70812\n47316 71029\n65283 97929\n33755 50761\n21382 32163\n18937 28494\n11078 16678\n93085 100000\n34264 51526\n99966 100000\n32200 48431\n15310 23024\n98123 100000\n12369 18640\n36959 55577\n60660 91058\n51723 77636\n21694 32634\n39891 59929\n24231 36447\n2512 3795\n20367 30648\n25696 38626\n61295 92009\n2654 4009\n93034 100000\n81281 100000\n66256 99398\n70190 100000\n99015 100000\n29474 44292\n82380 100000\n47032 70612\n80498 100000\n53973 81008\n12146 18310\n7163 10795\n84584 100000\n93919 100000\n5257 7897\n46240 69425\n8185 12334\n68139 100000\n89106 100000\n18136 27295\n53266 79941\n92858 100000\n22984 34563\n10716 16138\n43379 65147\n71970 100000\n49078 73702\n84564 100000\n55684 83581\n6148 9230\n44332 66559\n28244 42433\n49143 73799\n42554 63915\n88303 100000\n61227 91913\n40408 60696\n19376 29145\n27561 41419\n49415 74205\n86176 100000\n30730 46194\n47435 71210\n37536 56444\n82668 100000\n73382 100000\n54507 81811\n52765 79206\n43902 65930\n31569 47475\n42608 64004\n62494 93793\n44198 66367\n70533 100000\n46752 70188\n29945 44997\n53239 79901\n1656 2507\n92160 100000\n63901 95885\n32356 48670\n2952 4453\n17782 26754\n72862 100000\n49040 73643\n15459 23242\n78983 100000\n4566 6849\n42953 64511\n29682 44607\n13996 21075\n34283 51551\n51733 77650\n490 738\n82457 100000\n74692 100000\n28777 43242\n393 588\n88327 100000\n64333 96519\n61385 92137\n97691 100000\n66139 99222\n19049 28665\n25697 38628\n34547 51932\n15959 23978\n14474 21798\n88678 100000\n19458 29264\n52126 78253\n14402 21691\n20885 31431\n45204 67861\n48542 72913\n64384 96592\n58862 88362\n35494 53352\n77254 100000\n83742 100000\n47896 71910\n19258 28967\n14996 22575\n18330 27580\n50447 75738\n63468 95249\n34640 52073\n99209 100000\n12374 18649\n91031 100000\n45744 68675\n72127 100000\n75263 100000\n70483 100000\n61701 92615\n62036 93114\n13445 20244\n32636 49099\n70225 100000\n99727 100000\n64224 96357\n33885 50955\n67241 100000\n24256 36482\n15106 22739\n87557 100000\n35435 53266\n57556 86380\n79186 100000\n97197 100000\n70553 100000\n51775 77713\n40 58\n13943 20998\n49261 73980\n48414 72715\n67503 100000\n75392 100000\n45719 68636\n81565 100000\n96484 100000\n54972 82504\n49439 74239\n58594 87954\n21244 31961\n39235 58970\n28512 42840\n50475 75779\n19286 29009\n9403 14170\n49718 74656\n29450 44258\n46903 70428\n62986 94540\n83680 100000\n83298 100000\n83472 100000\n48075 72196\n2693 4068\n48936 73488\n87655 100000\n78718 100000\n16739 25166\n55346 83068\n13083 19704\n33684 50652\n16094 24197\n73825 100000\n75140 100000\n34092 51269\n50723 76144\n14825 22328\n83431 100000\n4631 6950\n42459 63772\n71913 100000\n90226 100000\n85917 100000\n19211 28898\n76337 100000\n87667 100000\n20060 30179\n40885 61415\n37393 56230\n1248 1879\n57693 86592\n53901 80903\n75575 100000\n46132 69258\n31561 47464\n24506 36854\n95793 100000\n70194 100000\n16275 24471\n63988 96009\n18170 27343\n66954 100000\n70197 100000\n68613 100000\n10640 16022\n78989 100000\n90248 100000\n57907 86912\n41868 62890\n79549 100000\n88216 100000\n71680 100000\n13199 19877\n74943 100000\n8208 12370\n41943 63004\n84659 100000\n73146 100000\n53021 79582\n3357 5054\n63164 94807\n25640 38545\n32935 49545\n13039 19639\n36619 55066\n85942 100000\n61637 92516\n42106 63236\n16159 24298\n2485 3758\n77972 100000\n8146 12275\n47698 71610\n86730 100000\n44463 66745\n40074 60203\n14060 21165\n52574 78924\n18083 27212\n37391 56226\n34151 51359\n5005 7511\n39746 59724\n75193 100000\n82470 100000\n76631 100000\n63110 94732\n31277 47028\n35369 53171\n89449 100000\n34346 51645\n27316 41050\n54242 81416\n81826 100000\n41777 62748\n29012 43599\n64028 96069\n50295 75511\n16928 25456\n56545 84852\n36009 54131\n72935 100000\n96473 100000\n59647 89538\n82441 100000\n7414 11166\n47795 71755\n80434 100000\n19298 29027\n32760 49281\n14507 21851\n7301 11003\n47843 71823\n21428 32234\n90775 100000\n55729 83649\n56836 85298\n76148 100000\n82212 100000\n22056 33177\n98567 100000\n25429 38235\n99532 100000\n7647 11528\n63221 94891\n8978 13525\n15843 23810\n25743 38699\n13764 20719\n37184 55914\n28321 42550\n39798 59793\n42887 64410\n69169 100000\n84136 100000\n25779 38752\n16765 25206\n70686 100000\n4380 6572\n13932 20982\n99270 100000\n81934 100000\n64899 97369\n50530 75857\n292 436\n98336 100000\n82119 100000\n72365 100000\n62323 93543\n72363 100000\n80504 100000\n63257 94945\n30545 45909\n82591 100000\n56641 84989\n38550 57966\n27734 41682\n23623 35531\n20788 31282\n14392 21675\n80490 100000\n79433 100000\n91051 100000\n18526 27876\n54055 81129\n46422 69702\n45824 68798\n15898 23897\n84259 100000\n70969 100000\n61332 92062\n87977 100000\n34869 52430\n20902 31456\n27704 41637\n78231 100000\n75403 100000\n67822 100000\n22863 34386\n37371 56197\n62627 94001\n28248 42440\n17761 26721\n77803 100000\n12889 19417\n56781 85211\n38515 57913\n41665 62586\n24500 36845\n29730 44685\n99945 100000\n478 720\n24813 37313\n28230 42411\n31194 46901\n19832 29825\n32083 48243\n58821 88303\n87543 100000\n39720 59690\n21369 32143\n42754 64218\n99383 100000\n79608 100000\n36724 55222\n35622 53544\n45283 67986\n68898 100000\n7039 10604\n11980 18066\n79789 100000\n48248 72459\n34218 51458\n45849 68835\n25360 38127\n53060 79641\n18881 28413\n2135 3217\n60690 91101\n85931 100000\n82475 100000\n43012 64596\n71715 100000\n85383 100000\n22248 33468\n21325 32083\n54730 82141\n56305 84510\n98913 100000\n12045 18160\n33620 50556\n19904 29936\n17886 26914\n1334 2013\n91775 100000\n76885 100000\n56144 84265\n72394 100000\n80949 100000\n82564 100000\n42730 64183\n57663 86544\n16059 24141\n81905 100000\n91540 100000\n63440 95208\n15380 23124\n72428 100000\n84891 100000\n21745 32710\n859 1305\n90185 100000\n38765 58284\n89949 100000\n51026 76593\n89028 100000\n97915 100000\n27900 41926\n11172 16824\n38314 57605\n7884 11878\n9401 14168\n63441 95209\n62309 93524\n65400 98097\n33570 50484\n2541 3835\n84772 100000\n28931 43475\n14501 21842\n2309 3489\n86814 100000\n18261 27481\n1316 1982\n21815 32816\n82277 100000\n30319 45556\n41594 62475\n67328 100000\n32860 49433\n9272 13968\n99234 100000\n47201 70857\n16721 25141\n945 1431\n79503 100000\n27725 41667\n262 392\n46588 69946\n74936 100000\n26919 40450\n81852 100000\n7491 11290\n37473 56349\n93465 100000\n15117 22755\n82102 100000\n94017 100000\n64562 96864\n47945 71989\n17874 26897\n25224 37924\n7339 11056\n36581 55009\n33304 50088\n25128 37783\n95732 100000\n12393 18677\n98031 100000\n76040 100000\n81722 100000\n36846 55402\n84836 100000\n10350 15598\n76241 100000\n6705 10083\n56875 85356\n78858 100000\n54328 81555\n13913 20950\n59987 90047\n57052 85623\n56427 84683\n18183 27361\n53929 80945\n99166 100000\n10234 15415\n15882 23872\n10485 15798\n27727 41670\n93604 100000\n78783 100000\n80173 100000\n33756 50763\n86355 100000\n44446 66721\n62722 94145\n46339 69580\n59743 89690\n94378 100000\n66502 99767\n78868 100000\n91061 100000\n72708 100000\n72198 100000\n554 840\n23982 36079\n12348 18610\n44598 66946\n42425 63715\n45598 68458\n14948 22500\n85959 100000\n80129 100000\n39282 59043\n89722 100000\n55139 82761\n94673 100000\n5460 8199\n84370 100000\n69100 100000\n23173 34848\n96442 100000\n21017 31623\n25970 39032\n24750 37223\n80361 100000\n53475 80256\n28146 42287\n57509 86306\n339 508\n25448 38263\n76851 100000\n84012 100000\n48599 72997\n1572 2375\n27845 41849\n47830 71804\n96898 100000\n50912 76419\n62015 93082\n81515 100000\n80433 100000\n62064 93154\n89701 100000\n20105 30249\n86807 100000\n87615 100000\n54003 81053\n54459 81738\n92205 100000\n87949 100000\n70273 100000\n9750 14682\n20509 30864\n55948 83976\n59065 88667\n14881 22404\n40597 60984\n35995 54107\n63450 95221\n33039 49700\n9073 13663\n91671 100000\n4442 6664\n34602 52014\n45359 68105\n25946 38999\n58201 87352\n49513 74355\n46292 69510\n39344 59139\n13661 20565\n37778 56804\n73845 100000\n99935 100000\n44852 67322\n69926 100000\n64129 96222\n95253 100000\n18986 28570\n49354 74116\n76611 100000\n50541 75873\n66560 99856\n28099 42217\n50335 75571\n47197 70851\n61377 92125\n22514 33862\n51904 77915\n17950 27009\n45397 68161\n74972 100000\n42584 63965\n3825 5742\n18250 27463\n81862 100000\n70907 100000\n16084 24180\n2706 4087\n42032 63129\n26103 39228\n89348 100000\n80922 100000\n47731 71659\n66993 100000\n48734 73203\n49539 74393\n59778 89740\n38619 58067\n81785 100000\n74275 100000\n22916 34461\n15356 23094\n13322 20064\n64918 97393\n42884 64406\n1303 1966\n95471 100000\n98992 100000\n48635 73047\n55958 83992\n71624 100000\n38441 57803\n91886 100000\n57641 86509\n21631 32537\n52262 78458\n10899 16409\n39473 59326\n10458 15760\n130 196\n48678 73110\n14535 21891\n81632 100000\n74083 100000\n98792 100000\n31817 47846\n79815 100000\n80299 100000\n81849 100000\n91858 100000\n23322 35071\n43025 64615\n3193 4820\n52217 78388\n31369 47168\n39537 59418\n63552 95377\n51900 77909\n83235 100000\n70706 100000\n28901 43428\n88384 100000\n53830 80792\n45685 68587\n39804 59803\n19223 28914\n20480 30819\n46981 70534\n92268 100000\n77882 100000\n74771 100000\n62948 94484\n41280 62001\n97105 100000\n3527 5293\n21443 32257\n83963 100000\n97699 100000\n39778 59765\n14634 22034\n39547 59433\n87314 100000\n5347 8036\n76979 100000\n98596 100000\n4555 6831\n65647 98467\n22253 33476\n60481 90781\n73636 100000\n60500 90811\n9658 14552\n90064 100000\n38408 57749\n61796 92757\n15383 23129\n44530 66841\n7764 11709\n27932 41975\n51631 77497\n65999 99003\n88266 100000\n29218 43914\n88965 100000\n67867 100000\n40279 60507\n59199 88864\n89690 100000\n48240 72449\n79349 100000\n11362 17110\n17314 26039\n79714 100000\n46552 69898\n4551 6827\n3787 5683\n83004 100000\n15286 22990\n3849 5777\n17928 26978\n35895 53957\n35496 53354\n45250 67937\n75716 100000\n71133 100000\n30104 45233\n35363 53164\n3598 5398\n21212 31910\n81473 100000\n89547 100000\n2918 4404\n1383 2084\n33534 50429\n83017 100000\n81680 100000\n71135 100000\n37559 56478\n37226 55980\n98776 100000\n52915 79427\n87221 100000\n35389 53196\n23496 35335\n85199 100000\n32057 48206\n80509 100000\n75858 100000\n6977 10502\n41850 62865\n3048 4598\n52454 78749\n23563 35440\n32085 48246\n82713 100000\n15538 23354\n48263 72483\n36060 54213\n55142 82766\n34804 52331\n3664 5496\n87458 100000\n29377 44147\n39415 59240\n81745 100000\n11667 17590\n80884 100000\n28077 42184\n86627 100000\n10964 16510\n54879 82364\n39309 59084\n30499 45833\n26581 39934\n39424 59254\n33043 49708\n10531 15864\n17285 25994\n68155 100000\n57305 86004\n66667 100000\n3107 4689\n68631 100000\n72022 100000\n25054 37674\n13637 20527\n86971 100000\n50372 75623\n92385 100000\n20125 30278\n72654 100000\n36694 55179\n63874 95846\n81103 100000\n27404 41186\n73380 100000\n2889 4365\n45321 68046\n55914 83924\n43001 64580\n64090 96163\n13128 19768\n20741 31212\n15405 23163\n34775 52287\n42372 63640\n29335 44087\n83564 100000\n80277 100000\n68841 100000\n4260 6390\n64980 97479\n51368 77112\n3925 5892\n32451 48812\n16460 24746\n503 760\n80651 100000\n6136 9211\n47144 70768\n56475 84749\n11915 17966\n93115 100000\n81841 100000\n20700 31149\n41870 62894\n91891 100000\n65217 97832\n9590 14444\n64021 96058\n53094 79689\n47612 71475\n47404 71165\n79176 100000\n31130 46803\n97884 100000\n70863 100000\n15496 23297\n39150 58849\n26947 40488\n82943 100000\n19600 29473\n56414 84664\n59872 89873\n62919 94444\n48849 73361\n14920 22461\n27666 41580\n85528 100000\n63266 94957\n36849 55407\n67246 100000\n2674 4038\n66385 99592\n41289 62013\n23947 36034\n78987 100000\n93275 100000\n89358 100000\n54448 81722\n33468 50329\n19956 30016\n92659 100000\n39428 59260\n94659 100000\n7796 11750\n54096 81191\n74707 100000\n11693 17631\n83010 100000\n88805 100000\n15991 24035\n15060 22673\n85262 100000\n78080 100000\n68892 100000\n57822 86782\n88376 100000\n1754 2659\n48499 72851\n23446 35257\n77608 100000\n37655 56621\n84080 100000\n43813 65799\n25211 37908\n46335 69573\n62240 93421\n12736 19182\n46637 70016\n25024 37628\n6476 9738\n81997 100000\n49511 74352\n51964 78004\n9090 13688\n78705 100000\n59605 89472\n68712 100000\n3991 5993\n97123 100000\n32005 48129\n54481 81770\n5746 8621\n87488 100000\n83528 100000\n98865 100000\n55980 84025\n85427 100000\n14700 22133\n79942 100000\n15441 23216\n928 1409\n89368 100000\n86625 100000\n23071 34693\n79552 100000\n30033 45124\n29634 44532\n93605 100000\n40724 61174\n91128 100000\n72107 100000\n91837 100000\n73501 100000\n75206 100000\n3820 5734\n69694 100000\n10120 15243\n60395 90654\n59527 89363\n2358 3567\n82319 100000\n41580 62455\n49189 73870\n66107 99171\n59955 90001\n89302 100000\n91021 100000\n31523 47403\n35284 53042\n28069 42175\n10025 15094\n5263 7908\n35119 52791\n67473 100000\n13960 21024\n62440 93720\n55935 83957\n86788 100000\n98283 100000\n86529 100000\n99170 100000\n86503 100000\n12961 19523\n86280 100000\n48551 72928\n65922 98881\n18272 27498\n69189 100000\n69621 100000\n7708 11621\n90981 100000\n15644 23513\n40154 60326\n55196 82847\n71928 100000\n23827 35851\n49839 74834\n44496 66791\n49633 74537\n99624 100000\n10932 16461\n8137 12260\n46094 69203\n7215 10869\n99056 100000\n16776 25223\n28605 42988\n46317 69545\n78603 100000\n66004 99012\n8762 13197\n84106 100000\n70344 100000\n21938 33002\n71065 100000\n63533 95346\n74113 100000\n57006 85551\n78381 100000\n92681 100000\n27434 41236\n22329 33590\n56497 84782\n76551 100000\n97424 100000\n86862 100000\n73201 100000\n6604 9925\n49418 74209\n25940 38989\n37145 55858\n6984 10514\n80247 100000\n5730 8598\n67846 100000\n58064 87150\n9149 13775\n23429 35234\n35047 52688\n4957 7437\n20869 31405\n32958 49584\n17534 26376\n94087 100000\n29003 43587\n7354 11080\n61138 91776\n98860 100000\n73678 100000\n49145 73802\n77272 100000\n11846 17863\n27754 41713\n76683 100000\n72216 100000\n97441 100000\n96323 100000\n64241 96383\n21148 31813\n44746 67165\n69324 100000\n44868 67347\n56513 84805\n81519 100000\n56411 84659\n95947 100000\n42064 63176\n33096 49785\n84186 100000\n67808 100000\n36895 55481\n81071 100000\n82869 100000\n69682 100000\n1003 1518\n12167 18338\n70957 100000\n29900 44929\n35868 53916\n43476 65292\n65648 98468\n13859 20872\n36673 55150\n5391 8099\n85616 100000\n85807 100000\n64252 96401\n44861 67334\n50986 76532\n90773 100000\n25638 38541\n68611 100000\n91288 100000\n2808 4240\n29963 45023\n30506 45845\n53919 80929\n18790 28276\n81534 100000\n37975 57092\n60505 90818\n32620 49074\n39593 59498\n60205 90364\n30718 46175\n34705 52179\n94336 100000\n79115 100000\n72101 100000\n73290 100000\n66471 99724\n7851 11827\n44730 67138\n93651 100000\n25535 38382\n84845 100000\n20701 31150\n96358 100000\n95261 100000\n6741 10139\n52977 79522\n44695 67091\n71874 100000\n63851 95817\n55337 83057\n1799 2731\n57395 86139\n33257 50025\n8737 13156\n26989 40548\n88559 100000\n21663 32584\n2448 3701\n78938 100000\n31097 46750\n31631 47571\n39570 59465\n10301 15522\n66932 100000\n43781 65750\n77807 100000\n70117 100000\n75343 100000\n19481 29301\n6878 10347\n18071 27195\n12844 19346\n16823 25290\n84718 100000\n31162 46852\n61586 92440\n77185 100000\n76572 100000\n28395 42666\n63827 95779\n45908 68926\n49729 74672\n64243 96385\n80049 100000\n6532 9822\n70293 100000\n88123 100000\n27599 41478\n62591 93951\n76764 100000\n29415 44209\n57560 86385\n92319 100000\n19899 29929\n19017 28616\n20864 31398\n92971 100000\n52731 79156\n31857 47909\n66087 99141\n88136 100000\n13798 20771\n11109 16726\n63747 95659\n90577 100000\n68538 100000\n30832 46341\n84918 100000\n80715 100000\n71477 100000\n69142 100000\n53616 80466\n56241 84413\n11409 17179\n65691 98534\n15939 23951\n27894 41915\n94898 100000\n54270 81464\n817 1239\n54707 82108\n91661 100000\n5670 8505\n41319 62057\n14026 21117\n89843 100000\n30529 45883\n54059 81133\n69254 100000\n37550 56465\n60516 90835\n24051 36175\n37997 57126\n66400 99616\n37444 56307\n9057 13642\n81995 100000\n89562 100000\n62916 94440\n37128 55834\n99369 100000\n22026 33129\n95361 100000\n89807 100000\n39082 58759\n34719 52201\n51492 77293\n17542 26387\n67094 100000\n58258 87442\n6505 9780\n78689 100000\n85143 100000\n29655 44564\n25500 38336\n97224 100000\n8342 12572\n61839 92819\n21934 32995\n71118 100000\n97999 100000\n82491 100000\n8320 12539\n99921 100000\n58184 87329\n77028 100000\n24876 37407\n3394 5109\n25130 37786\n46801 70266\n62220 93389\n90697 100000\n89763 100000\n30200 45383\n64705 97080\n61406 92167\n39946 60013\n66028 99046\n50695 76099\n46464 69769\n77426 100000\n37819 56865\n53271 79950\n52957 79490\n94039 100000\n39330 59118\n12239 18439\n54945 82464\n80985 100000\n12943 19499\n68186 100000\n25815 38802\n9903 14905\n14056 21159\n7729 11653\n26120 39252\n21878 32913\n97506 100000\n56931 85437\n71691 100000\n90018 100000\n13171 19835\n33130 49837\n57430 86188\n5305 7978\n81570 100000\n349 523\n66450 99692\n64057 96115\n58603 87968\n80903 100000\n22925 34473\n74745 100000\n78791 100000\n96468 100000\n90928 100000\n60048 90138\n31359 47153\n86201 100000\n53906 80911\n11691 17628\n66492 99751\n75785 100000\n97418 100000\n65390 98082\n77627 100000\n91658 100000\n38256 57516\n27272 40984\n22168 33347\n48524 72887\n21046 31663\n88292 100000\n5914 8881\n79300 100000\n28012 42094\n87658 100000\n50914 76421\n40091 60232\n71097 100000\n50444 75734\n27192 40862\n11230 16912\n7542 11369\n2336 3531\n9020 13586\n73367 100000\n8183 12331\n55160 82793\n59679 89588\n71039 100000\n88409 100000\n77719 100000\n89152 100000\n38557 57977\n14849 22360\n90559 100000\n65876 98814\n77162 100000\n2663 4023\n17291 26002\n91393 100000\n64993 97497\n32642 49108\n34199 51430\n40866 61387\n40384 60662\n80000 100000\n6152 9237\n42086 63208\n60782 91239\n97067 100000\n22230 33439\n47653 71539\n77215 100000\n44309 66527\n38972 58595\n48518 72881\n69828 100000\n33311 50098\n78537 100000\n55984 84031\n59707 89634\n29789 44766\n84927 100000\n44238 66421\n93979 100000\n88958 100000\n92052 100000\n14258 21465\n51412 77178\n91363 100000\n41971 63044\n33781 50799\n65317 97980\n61461 92257\n83091 100000\n58078 87170\n18061 27180\n29835 44829\n97011 100000\n66945 100000\n21064 31691\n54461 81741\n95123 100000\n25168 37845\n94945 100000\n88401 100000\n14614 22007\n29649 44556\n80581 100000\n79781 100000\n4995 7497\n50652 76034\n99154 100000\n99208 100000\n57592 86437\n33183 49914\n41980 63058\n84038 100000\n11836 17848\n5006 7513\n91990 100000\n4896 7347\n1914 2894\n12763 19224\n96117 100000\n24217 36426\n9533 14362\n69620 100000\n54794 82243\n48711 73165\n52391 78657\n36170 54381\n8252 12438\n88345 100000\n35324 53105\n90344 100000\n76332 100000\n36207 54442\n27008 40582\n63560 95392\n93248 100000\n39656 59596\n39042 58698\n57144 85766\n23646 35568\n82522 100000\n4360 6540\n90687 100000\n47857 71843\n69132 100000\n84219 100000\n25756 38716\n1518 2293\n36032 54165\n9873 14859\n24313 36563\n77589 100000\n2161 3261\n24416 36716\n23133 34788\n63457 95231\n86682 100000\n42548 63906\n43844 65847\n82244 100000\n20448 30768\n24119 36277\n76373 100000\n58383 87634\n82072 100000\n28169 42323\n15575 23413\n18770 28244\n40994 61573\n18831 28337\n58442 87721\n81207 100000\n92625 100000\n21340 32101\n48092 72222\n99961 100000\n71977 100000\n28132 42267\n14697 22128\n20876 31416\n15284 22987\n99994 100000\n12517 18855\n78362 100000\n44995 67554\n62611 93980\n80055 100000\n38748 58257\n42566 63932\n52197 78359\n43504 65333\n90898 100000\n7611 11473\n35756 53751\n43213 64885\n96378 100000\n98828 100000\n42389 63665\n54563 81894\n52086 78190\n57755 86684\n43066 64671\n56878 85361\n89731 100000\n21594 32478\n91244 100000\n53440 80206\n39849 59868\n77064 100000\n53129 79738\n98802 100000\n46805 70272\n20114 30262\n31188 46891\n17822 26814\n76338 100000\n60820 91302\n44918 67429\n17643 26541\n99359 100000\n14298 21531\n85795 100000\n4250 6376\n60878 91388\n96926 100000\n30325 45566\n22347 33613\n74416 100000\n99145 100000\n64358 96556\n95851 100000\n42300 63529\n68479 100000\n61079 91692\n50001 75080\n30813 46309\n37096 55786\n3958 5944\n53641 80502\n12332 18583\n38139 57335\n98526 100000\n22162 33339\n95629 100000\n52195 78355\n9532 14361\n16889 25392\n60385 90642\n14765 22234\n39855 59877\n27997 42071\n59253 88952\n65414 98117\n48755 73227\n89663 100000\n8161 12295\n19408 29193\n52802 79259\n44336 66566\n23359 35128\n60951 91499\n74892 100000\n79759 100000\n19740 29686\n49149 73807\n39626 59551\n89424 100000\n69442 100000\n305 455\n55146 82773\n63265 94956\n98249 100000\n69095 100000\n72516 100000\n49453 74259\n14239 21437\n35211 52929\n76676 100000\n18606 27991\n69758 100000\n33011 49663\n83580 100000\n10577 15927\n1825 2769\n15485 23282\n76874 100000\n56415 84665\n69695 100000\n28648 43054\n52422 78704\n20246 30460\n97871 100000\n75726 100000\n5707 8564\n40371 60638\n4781 7174\n87406 100000\n32613 49063\n3947 5925\n78924 100000\n19813 29799\n68941 100000\n18518 27864\n37099 55789\n77843 100000\n95265 100000\n82361 100000\n21040 31653\n37201 55941\n32053 48200\n4038 6069\n52418 78699\n80667 100000\n55186 82833\n35089 52751\n87619 100000\n83876 100000\n31400 47217\n61425 92199\n43147 64788\n24078 36213\n78683 100000\n49640 74547\n13165 19828\n73562 100000\n81069 100000\n5422 8148\n29458 44268\n5290 7955\n99581 100000\n2637 3985\n58840 88332\n34170 51387\n46324 69556\n55674 83563\n41707 62648\n89878 100000\n4055 6094\n72798 100000\n7055 10628\n24094 36237\n54905 82404\n36576 54999\n41052 61658\n18880 28411\n53020 79581\n56389 84630\n69596 100000\n51921 77941\n62643 94026\n79912 100000\n4451 6679\n35276 53029\n5923 8894\n64071 96135\n37821 56869\n39915 59965\n4056 6095\n22639 34052\n33055 49725\n22097 33243\n61763 92703\n15200 22867\n26057 39155\n56852 85323\n55880 83872\n25668 38585\n85885 100000\n91017 100000\n6080 9125\n45869 68867\n5198 7811\n62883 94391\n58560 87902\n10880 16384\n29467 44281\n82525 100000\n10366 15623\n84409 100000\n85899 100000\n82742 100000\n50643 76021\n85398 100000\n93453 100000\n47018 70590\n96091 100000\n28796 43272\n38982 58613\n26174 39334\n72713 100000\n72062 100000\n81536 100000\n45931 68957\n35446 53285\n32257 48524\n8536 12867\n71531 100000\n23292 35022\n82215 100000\n7277 10965\n80589 100000\n50807 76263\n63060 94657\n26286 39504\n19543 29393\n77789 100000\n4861 7297\n89215 100000\n79673 100000\n47767 71713\n18842 28355\n3026 4568\n22392 33677\n53213 79865\n71352 100000\n9954 14982\n61985 93033\n83815 100000\n62294 93501\n500 755\n35949 54039\n40489 60818\n76009 100000\n94300 100000\n66116 99186\n28338 42577\n29473 44290\n37904 56994\n7193 10839\n282 422\n25462 38286\n57246 85918\n50247 75443\n52354 78596\n36944 55554\n45229 67899\n5820 8735\n32975 49608\n90351 100000\n42687 64121\n8024 12091\n56065 84155\n128 193\n77680 100000\n15151 22799\n25981 39047\n31311 47079\n98481 100000\n58257 87440\n23918 35993\n33448 50299\n1932 2918\n57103 85706\n8403 12668\n90268 100000\n35117 52789\n82487 100000\n29378 44148\n12019 18124\n41106 61742\n68474 100000\n11820 17823\n71963 100000\n53915 80924\n95505 100000\n86511 100000\n17117 25735\n53202 79848\n56771 85197\n73306 100000\n91405 100000\n10600 15963\n77866 100000\n32801 49347\n96919 100000\n93078 100000\n77752 100000\n92854 100000\n41968 63039\n67390 100000\n12046 18161\n38914 58505\n31025 46641\n69554 100000\n61615 92481\n28457 42756\n12363 18629\n46641 70023\n70578 100000\n48113 72252\n95762 100000\n87423 100000\n41131 61776\n74528 100000\n85717 100000\n66835 100000\n38404 57744\n44346 66579\n675 1027\n60833 91320\n77036 100000\n76082 100000\n48791 73276\n31564 47469\n677 1029\n94494 100000\n70513 100000\n69089 100000\n18077 27204\n52484 78791\n42883 64404\n94817 100000\n50371 75622\n67468 100000\n71742 100000\n76032 100000\n53559 80381\n66377 99581\n69767 100000\n62351 93581\n56426 84681\n12703 19129\n24712 37167\n24992 37578\n7038 10602\n37906 56997\n87958 100000\n5776 8664\n77402 100000\n95526 100000\n50913 76420\n2938 4435\n53033 79599\n79105 100000\n89698 100000\n39402 59225\n82944 100000\n78004 100000\n7276 10964\n8188 12338\n63261 94951\n3933 5905\n47352 71084\n53769 80696\n74095 100000\n90361 100000\n82864 100000\n24002 36104\n49245 73957\n17216 25889\n88959 100000\n75340 100000\n32320 48619\n21162 31834\n54333 81561\n56689 85061\n53483 80269\n52082 78182\n54298 81510\n66565 99863\n73692 100000\n18368 27639\n72851 100000\n98366 100000\n2681 4048\n92033 100000\n62428 93702\n69638 100000\n55304 83009\n7739 11669\n25005 37599\n85168 100000\n95720 100000\n9110 13717\n11483 17305\n63288 94985\n55266 82949\n63343 95067\n68099 100000\n74059 100000\n6919 10409\n45084 67682\n44109 66239\n69970 100000\n6070 9110\n82117 100000\n97154 100000\n6637 9976\n30823 46325\n89876 100000\n30428 45723\n45136 67760\n76170 100000\n27694 41624\n63139 94773\n78525 100000\n91573 100000\n91862 100000\n60949 91496\n22355 33625\n96971 100000\n97334 100000\n61302 92019\n56479 84755\n30746 46216\n44538 66853\n47709 71627\n70308 100000\n68418 100000\n42623 64027\n64853 97303\n89241 100000\n84231 100000\n6421 9654\n30450 45757\n69365 100000\n3441 5172\n24816 37317\n717 1089\n39271 59025\n18844 28359\n33557 50465\n27050 40649\n66169 99267\n47267 70953\n58871 88375\n96713 100000\n14266 21477\n60106 90225\n97008 100000\n2152 3245\n13768 20726\n30841 46354\n51213 76872\n23903 35970\n90030 100000\n75303 100000\n47654 71540\n96798 100000\n35477 53329\n73675 100000\n23157 34825\n79582 100000\n21449 32265\n29827 44818\n99684 100000\n6617 9944\n97310 100000\n94648 100000\n37188 55920\n47053 70641\n1254 1887\n42654 64071\n60439 90720\n31067 46705\n875 1328\n96953 100000\n95836 100000\n36174 54386\n11803 17801\n87326 100000\n66987 100000\n12247 18451\n25496 38329\n40070 60196\n56544 84851\n97305 100000\n55525 83338\n37866 56939\n95310 100000\n26324 39561\n83691 100000\n86824 100000\n18821 28323\n5915 8882\n97120 100000\n23733 35706\n83008 100000\n43231 64917\n24911 37459\n6575 9881\n47532 71353\n43246 64941\n49279 74005\n71808 100000\n63553 95379\n26485 39797\n2610 3942\n8368 12617\n89396 100000\n95550 100000\n13280 19998\n91429 100000\n9626 14498\n14181 21347\n85555 100000\n60756 91198\n83417 100000\n93066 100000\n5896 8853\n70389 100000\n70616 100000\n59039 88627\n32696 49184\n97201 100000\n85693 100000\n40758 61223\n74576 100000\n37649 56612\n30235 45430\n91298 100000\n51611 77466\n91851 100000\n51711 77620\n49087 73716\n96913 100000\n64671 97028\n50607 75974\n79710 100000\n92679 100000\n65799 98698\n82892 100000\n78043 100000\n83650 100000\n86984 100000\n61746 92681\n45513 68330\n68457 100000\n22912 34456\n49136 73789\n47091 70690\n61211 91885\n42205 63383\n62115 93231\n24487 36824\n92098 100000\n32156 48361\n84942 100000\n48507 72863\n57604 86454\n80710 100000\n91451 100000\n58781 88240\n77616 100000\n26671 40069\n79780 100000\n36202 54433\n84358 100000\n27500 41328\n6077 9121\n77269 100000\n71554 100000\n95950 100000\n66397 99612\n6114 9179\n79021 100000\n76850 100000\n59400 89181\n17136 25767\n87938 100000\n51451 77232\n9758 14694\n62796 94260\n36037 54174\n69375 100000\n14767 22238\n53234 79894\n3972 5967\n7978 12020\n37377 56207\n8768 13206\n88690 100000\n35786 53794\n55074 82655\n65534 98302\n87691 100000\n69081 100000\n74291 100000\n76748 100000\n25154 37823\n2452 3706\n74356 100000\n63633 95495\n28281 42489\n1535 2321\n42601 63994\n24277 36512\n8121 12236\n92609 100000\n21519 32359\n63035 94613\n35503 53366\n99697 100000\n76910 100000\n69404 100000\n35979 54081\n51320 77042\n52463 78760\n19892 29917\n30201 45384\n96138 100000\n80488 100000\n38474 57850\n67495 100000\n44405 66662\n13405 20184\n32678 49159\n39865 59891\n1165 1761\n20031 30134\n32308 48600\n34712 52189\n1575 2379\n86524 100000\n74648 100000\n88855 100000\n5910 8874\n73301 100000\n70943 100000\n90345 100000\n48775 73253\n73188 100000\n39141 58834\n79466 100000\n81535 100000\n88688 100000\n92766 100000\n78643 100000\n39797 59791\n62213 93377\n80350 100000\n62867 94366\n60406 90669\n57425 86181\n67534 100000\n17827 26822\n10805 16271\n23792 35794\n21261 31986\n98404 100000\n71353 100000\n40755 61219\n57173 85810\n2373 3588\n54253 81437\n12851 19356\n17110 25725\n81818 100000\n47964 72022\n27588 41462\n15439 23214\n39589 59492\n43163 64815\n77238 100000\n31327 47106\n72097 100000\n74962 100000\n79443 100000\n83097 100000\n21635 32544\n56062 84150\n75237 100000\n1041 1578\n66730 100000\n67646 100000\n96722 100000\n45391 68154\n84305 100000\n33952 51058\n35018 52645\n30673 46104\n18925 28474\n14523 21872\n25153 37821\n35313 53088\n53140 79756\n67695 100000\n37978 57097\n95184 100000\n79133 100000\n24260 36487\n73526 100000\n73118 100000\n68286 100000\n26551 39892\n38110 57290\n1404 2116\n33648 50597\n85235 100000\n94881 100000\n45227 67896\n80739 100000\n74126 100000\n67568 100000\n51301 77009\n9162 13797\n19529 29371\n81659 100000\n48155 72321\n69417 100000\n5992 8994\n96329 100000\n46705 70116\n47786 71741\n69350 100000\n24754 37228\n38288 57566\n26962 40511\n83232 100000\n61304 92021\n61400 92159\n81756 100000\n26070 39175\n78706 100000\n48978 73549\n41055 61661\n25328 38077\n2790 4214\n19444 29243\n77100 100000\n89373 100000\n8382 12638\n38817 58361\n64820 97252\n65847 98769\n22793 34276\n16909 25424\n10901 16412\n29056 43665\n53697 80585\n77674 100000\n22759 34230\n31464 47315\n67675 100000\n74765 100000\n67170 100000\n23336 35093\n24953 37518\n60779 91234\n24125 36286\n43209 64877\n2954 4457\n29793 44772\n9720 14638\n96811 100000\n18388 27669\n25930 38975\n43091 64706\n3994 5998\n63385 95126\n4741 7113\n68847 100000\n10968 16515\n59666 89568\n86999 100000\n50758 76194\n93485 100000\n79384 100000\n48260 72479\n4027 6050\n29169 43835\n86463 100000\n10220 15391\n45068 67661\n31778 47787\n93017 100000\n3448 5180\n48516 72878\n85872 100000\n37869 56944\n82932 100000\n48552 72930\n42216 63400\n41839 62846\n86905 100000\n11657 17574\n35952 54042\n35302 53069\n56794 85232\n40679 61109\n23980 36076\n60461 90751\n42834 64333\n48720 73181\n9887 14883\n29110 43746\n53355 80075\n44455 66735\n46594 69953\n35259 53002\n97259 100000\n48309 72559\n6384 9594\n93116 100000\n48471 72805\n81846 100000\n43196 64860\n11640 17549\n73049 100000\n73858 100000\n3120 4708\n35085 52744\n10136 15265\n70525 100000\n20613 31016\n4761 7141\n81206 100000\n43218 64893\n79293 100000\n98269 100000\n83930 100000\n41751 62711\n86651 100000\n25379 38156\n38466 57839\n33776 50793\n12669 19081\n88864 100000\n97379 100000\n55409 83163\n27631 41528\n64539 96830\n4931 7402\n62910 94431\n53462 80236\n21008 31611\n81193 100000\n6576 9883\n861 1308\n20968 31553\n59130 88760\n3087 4658\n11899 17942\n92651 100000\n3593 5391\n99676 100000\n52719 79140\n72915 100000\n82229 100000\n35523 53398\n99141 100000\n45226 67895\n5419 8145\n9482 14287\n9858 14837\n37315 56114\n18087 27218\n55941 83965\n56926 85428\n82500 100000\n93674 100000\n85288 100000\n29512 44349\n71682 100000\n31246 46984\n64114 96198\n85962 100000\n53333 80045\n81057 100000\n3638 5454\n44143 66292\n30029 45120\n16271 24465\n96034 100000\n54013 81066\n69460 100000\n13737 20675\n54548 81873\n11966 18046\n77117 100000\n62020 93092\n81309 100000\n59376 89146\n60724 91147\n54517 81824\n30455 45766\n71201 100000\n11071 16669\n68594 100000\n14340 21599\n98508 100000\n39010 58655\n348 521\n46438 69729\n99680 100000\n5014 7526\n77787 100000\n33663 50621\n95285 100000\n10169 15315\n25391 38175\n42524 63871\n17182 25832\n60609 90973\n71895 100000\n25430 38237\n37483 56364\n35664 53607\n36294 54580\n87520 100000\n71339 100000\n58308 87523\n14832 22336\n91977 100000\n50442 75732\n94033 100000\n83354 100000\n46600 69961\n86716 100000\n32707 49201\n92678 100000\n90080 100000\n70467 100000\n37434 56289\n75977 100000\n45338 68070\n63965 95979\n8931 13452\n47872 71869\n5183 7786\n75318 100000\n10067 15160\n91422 100000\n34913 52494\n84914 100000\n98380 100000\n89261 100000\n19954 30013\n50909 76414\n66685 100000\n72058 100000\n64045 96097\n87682 100000\n46974 70524\n17381 26145\n42913 64450\n65551 98326\n88290 100000\n64291 96460\n3204 4837\n50785 76233\n94799 100000\n60734 91163\n37639 56595\n17341 26086\n38721 58215\n20518 30878\n98909 100000\n89096 100000\n34953 52552\n98212 100000\n74459 100000\n14098 21214\n65895 98843\n60471 90768\n85371 100000\n35757 53752\n80757 100000\n34224 51469\n18111 27258\n26229 39419\n7879 11872\n28482 42793\n85266 100000\n599 912\n15178 22837\n25595 38473\n75544 100000\n329 494\n12653 19056\n35010 52634\n43839 65838\n79420 100000\n41393 62169\n49297 74030\n65827 98739\n33772 50786\n95215 100000\n14932 22476\n59959 90006\n11076 16675\n20512 30868\n90381 100000\n19062 28684\n67985 100000\n83402 100000\n64330 96514\n89581 100000\n14506 21849\n19620 29503\n5638 8461\n16209 24373\n34714 52193\n11580 17453\n66135 99216\n72853 100000\n66284 99440\n48679 73112\n39629 59555\n56289 84485\n23285 35011\n26093 39213\n89888 100000\n83575 100000\n7897 11897\n17419 26200\n15722 23623\n68319 100000\n69613 100000\n64648 96992\n63786 95718\n40741 61202\n80383 100000\n95049 100000\n83167 100000\n59584 89446\n55343 83065\n60791 91252\n64791 97211\n47392 71145\n55851 83831\n93024 100000\n50916 76425\n26172 39331\n23457 35274\n68710 100000\n7919 11932\n20535 30902\n10688 16094\n51485 77282\n49457 74265\n70897 100000\n32673 49152\n53539 80353\n36976 55601\n77912 100000\n24728 37189\n32381 48705\n17868 26886\n23988 36085\n39648 59583\n67396 100000\n66848 100000\n5090 7639\n24307 36554\n7086 10677\n90588 100000\n2398 3626\n65557 98332\n59164 88814\n49072 73692\n98752 100000\n6442 9690\n9243 13922\n95612 100000\n93870 100000\n66426 99657\n63738 95645\n64316 96495\n54433 81702\n24564 36942\n52715 79135\n61305 92022\n21851 32870\n26721 40148\n70801 100000\n49773 74743\n63390 95135\n54404 81656\n17730 26674\n30797 46285\n89923 100000\n30202 45385\n98561 100000\n17663 26571\n66923 100000\n5590 8391\n93641 100000\n7074 10656\n82111 100000\n76666 100000\n96930 100000\n99864 100000\n22357 33627\n14693 22123\n33104 49797\n34809 52339\n85169 100000\n15254 22948\n9953 14981\n75898 100000\n36250 54512\n35127 52803\n75096 100000\n55973 84016\n69872 100000\n42388 63663\n73158 100000\n93847 100000\n18596 27975\n7425 11185\n92310 100000\n29033 43630\n43712 65643\n33021 49676\n94739 100000\n84263 100000\n22712 34159\n11163 16810\n83150 100000\n48431 72741\n62835 94319\n5770 8654\n65977 98968\n16312 24525\n50888 76383\n56142 84262\n52722 79143\n27320 41057\n55255 82933\n34744 52238\n52297 78510\n41397 62175\n47026 70603\n53089 79681\n74928 100000\n59608 89478\n23294 35026\n83610 100000\n13762 20717\n42195 63368\n59676 89584\n54364 81601\n49699 74626\n65711 98564\n63101 94716\n6311 9473\n91262 100000\n26442 39738\n76339 100000\n37276 56054\n95876 100000\n63549 95371\n26975 40529\n802 1216\n13004 19590\n56936 85446\n96416 100000\n45297 68008\n94508 100000\n55697 83604\n131 197\n82614 100000\n52866 79350\n93392 100000\n38848 58409\n33145 49862\n64118 96205\n16869 25359\n5993 8996\n52424 78707\n91179 100000\n78174 100000\n63089 94697\n49782 74755\n15142 22788\n9279 13980\n62582 93935\n58074 87162\n10198 15358\n64030 96072\n47797 71757\n75806 100000\n51285 76983\n57348 86069\n11744 17714\n65798 98696\n19023 28626\n90404 100000\n84022 100000\n48873 73397\n7073 10654\n59644 89534\n42589 63974\n15994 24041\n93777 100000\n28679 43096\n56383 84621\n89356 100000\n46106 69221\n9163 13798\n34993 52611\n86414 100000\n82210 100000\n54281 81482\n57699 86601\n52028 78103\n33586 50507\n28848 43355\n42723 64175\n32497 48881\n57218 85881\n28311 42535\n25057 37679\n86405 100000\n37735 56746\n74866 100000\n45741 68671\n11284 16992\n94123 100000\n57905 86909\n15116 22754\n69745 100000\n25464 38288\n34406 51729\n57661 86541\n80930 100000\n27795 41776\n67605 100000\n97331 100000\n17876 26900\n56861 85338\n91639 100000\n80467 100000\n49848 74849\n4031 6058\n70705 100000\n8619 12991\n33155 49876\n14407 21699\n88037 100000\n61192 91859\n41782 62757\n70829 100000\n53551 80370\n53524 80328\n68979 100000\n32862 49436\n16272 24467\n37394 56231\n41048 61653\n88333 100000\n1578 2383\n81248 100000\n3887 5833\n17273 25973\n92388 100000\n41843 62854\n65820 98730\n94478 100000\n22748 34213\n21988 33075\n42474 63794\n17843 26844\n33217 49965\n13214 19897\n72122 100000\n90499 100000\n97671 100000\n32750 49263\n14242 21441\n62686 94091\n49734 74679\n63807 95747\n9775 14721\n59063 88664\n99683 100000\n22557 33925\n41241 61940\n25636 38538\n46610 69976\n60996 91570\n11293 17005\n4561 6842\n92173 100000\n84020 100000\n25471 38295\n17143 25776\n73274 100000\n63954 95963\n24886 37422\n1440 2170\n9116 13727\n72916 100000\n82033 100000\n5916 8883\n35980 54083\n83381 100000\n26838 40334\n63483 95270\n91321 100000\n53445 80212\n70075 100000\n51435 77211\n64834 97272\n73266 100000\n60164 90308\n829 1260\n70469 100000\n91992 100000\n17034 25614\n84638 100000\n52533 78868\n70347 100000\n78215 100000\n37590 56521\n26308 39534\n36430 54787\n9025 13594\n25788 38764\n49382 74155\n91656 100000\n92692 100000\n11971 18053\n60596 90954\n67624 100000\n74979 100000\n82063 100000\n4450 6678\n34845 52395\n82469 100000\n18691 28124\n10791 16251\n65532 98298\n23340 35100\n18455 27772\n62859 94354\n72092 100000\n52718 79139\n62242 93424\n84852 100000\n3468 5207\n31954 48050\n68731 100000\n48521 72884\n16622 24992\n49373 74143\n7084 10674\n96018 100000\n79225 100000\n44960 67497\n52315 78537\n16493 24793\n74163 100000\n48981 73553\n19139 28792\n45609 68476\n1858 2818\n64747 97141\n43985 66054\n18875 28404\n77301 100000\n40958 61524\n22611 34010\n73830 100000\n55985 84032\n91204 100000\n7333 11048\n27362 41119\n40274 60499\n5751 8627\n83694 100000\n54323 81548\n15052 22660\n1666 2521\n73038 100000\n89081 100000\n54510 81815\n71227 100000\n68447 100000\n28973 43542\n5926 8898\n4358 6537\n21336 32096\n3089 4661\n17467 26267\n12142 18305\n53894 80894\n20038 30144\n53169 79799\n748 1136\n2826 4266\n2009 3031\n3221 4859\n87029 100000\n10451 15752\n84831 100000\n81892 100000\n71779 100000\n7492 11292\n79479 100000\n76687 100000\n14168 21326\n65499 98252\n32818 49372\n63225 94897\n41043 61647\n54439 81709\n51581 77425\n71731 100000\n30275 45492\n22691 34124\n3442 5173\n61825 92798\n56635 84981\n81829 100000\n96190 100000\n70550 100000\n82945 100000\n64127 96218\n78033 100000\n25235 37939\n72066 100000\n28139 42275\n77096 100000\n87953 100000\n82764 100000\n96565 100000\n38374 57696\n28019 42105\n29025 43618\n11789 17778\n48000 72076\n8820 13287\n8966 13506\n45853 68842\n10853 16339\n57131 85744\n59121 88747\n10448 15748\n35204 52920\n37077 55756\n72302 100000\n2378 3596\n84440 100000\n18346 27607\n72129 100000\n72870 100000\n99739 100000\n52438 78727\n39032 58685\n6179 9273\n58874 88379\n29222 43920\n70864 100000\n10222 15395\n23253 34962\n58190 87337\n2478 3748\n58659 88049\n39310 59086\n70517 100000\n90325 100000\n93549 100000\n41110 61748\n53244 79908\n50947 76477\n23714 35676\n68436 100000\n2310 3491\n55678 83571\n59528 89364\n94046 100000\n40839 61344\n78559 100000\n93731 100000\n22620 34024\n28432 42721\n80223 100000\n80069 100000\n10699 16111\n6091 9141\n15823 23778\n35526 53403\n75 111\n76071 100000\n93532 100000\n50587 75941\n12797 19276\n71441 100000\n70306 100000\n72940 100000\n46192 69354\n9809 14770\n22068 33195\n2634 3981\n58166 87304\n49723 74663\n48798 73286\n68016 100000\n19982 30058\n5464 8205\n18289 27522\n31354 47145\n13687 20600\n88470 100000\n37730 56737\n89667 100000\n9368 14121\n19058 28678\n76806 100000\n61497 92310\n48839 73347\n25327 38076\n35099 52765\n86045 100000\n58698 88109\n53211 79862\n27203 40878\n27054 40657\n63646 95515\n23511 35354\n59273 88983\n54984 82524\n77510 100000\n40282 60510\n26691 40100\n49816 74801\n37362 56182\n32264 48535\n83452 100000\n95142 100000\n8661 13049\n34069 51234\n98057 100000\n30619 46021\n35050 52693\n20220 30415\n50066 75175\n87512 100000\n98844 100000\n74524 100000\n67540 100000\n69647 100000\n52806 79264\n33810 50841\n46001 69069\n98261 100000\n15120 22759\n5892 8846\n26773 40232\n32520 48919\n21685 32620\n40150 60320\n71245 100000\n74749 100000\n44278 66479\n91245 100000\n82088 100000\n28067 42173\n81524 100000\n56703 85080\n68897 100000\n52618 78988\n79509 100000\n36683 55163\n54182 81325\n5957 8944\n3743 5614\n67048 100000\n5160 7749\n85662 100000\n91946 100000\n56569 84888\n37834 56887\n6866 10330\n97690 100000\n23262 34975\n42070 63185\n98021 100000\n63402 95152\n6459 9714\n11514 17350\n37619 56562\n9849 14822\n75881 100000\n43101 64722\n98257 100000\n52414 78694\n37167 55889\n91315 100000\n26382 39649\n88547 100000\n38586 58016\n64254 96404\n54958 82484\n41350 62104\n33822 50862\n45056 67643\n68419 100000\n48016 72099\n32450 48810\n51495 77297\n23554 35422\n55626 83491\n5545 8325\n83802 100000\n83937 100000\n49549 74408\n79682 100000\n49285 74014\n65392 98085\n45570 68417\n99860 100000\n93101 100000\n31396 47212\n21800 32792\n68374 100000\n77985 100000\n28806 43289\n52427 78712\n50774 76218\n23549 35414\n86249 100000\n19879 29898\n61175 91830\n37926 57022\n42397 63678\n97575 100000\n45994 69058\n17844 26846\n57642 86511\n16599 24957\n3024 4565\n32541 48946\n31312 47080\n518 785\n13815 20798\n87283 100000\n41688 62621\n92150 100000\n52980 79526\n37066 55739\n24041 36162\n13243 19939\n66051 99083\n19392 29168\n68082 100000\n19702 29631\n11066 16662\n39811 59814\n21602 32490\n51023 76588\n69594 100000\n37845 56904\n80978 100000\n82061 100000\n19144 28799\n85015 100000\n78220 100000\n25608 38493\n92174 100000\n45522 68346\n98859 100000\n4153 6233\n22126 33284\n5917 8885\n51133 76753\n38302 57589\n13314 20050\n32970 49601\n43690 65613\n99664 100000\n48203 72393\n47505 71313\n658 998\n46025 69105\n40234 60442\n89815 100000\n32916 49517\n3038 4583\n4161 6244\n42528 63877\n57115 85722\n95382 100000\n8391 12651\n3277 4937\n48088 72215\n20165 30335\n43372 65137\n7930 11947\n75580 100000\n95674 100000\n71529 100000\n30258 45466\n93401 100000\n52420 78702\n71252 100000\n99172 100000\n68837 100000\n47584 71429\n81948 100000\n70027 100000\n34162 51375\n86805 100000\n68732 100000\n34707 52181\n7186 10829\n61324 92052\n4044 6077\n57442 86206\n87804 100000\n94662 100000\n22525 33878\n96893 100000\n89795 100000\n16944 25479\n28483 42795\n59763 89720\n50411 75682\n5163 7754\n68642 100000\n66404 99621\n72553 100000\n35515 53384\n18277 27505\n10562 15905\n78228 100000\n69388 100000\n53423 80181\n36299 54588\n12671 19084\n78916 100000\n40437 60740\n23033 34632\n20390 30681\n59062 88663\n64227 96363\n81112 100000\n51629 77494\n6065 9103\n67287 100000\n24463 36786\n96997 100000\n30668 46094\n53826 80785\n66798 100000\n24092 36234\n8084 12183\n39187 58899\n76272 100000\n10526 15857\n82969 100000\n48125 72270\n28922 43465\n61112 91739\n65657 98483\n66914 100000\n75267 100000\n64664 97018\n98448 100000\n23712 35673\n45844 68827\n32207 48442\n75891 100000\n28894 43417\n52913 79423\n71862 100000\n79341 100000\n14109 21230\n16007 24062\n65405 98105\n92116 100000\n19419 29209\n13532 20368\n22161 33337\n60601 90961\n53605 80447\n12687 19107\n86735 100000\n92324 100000\n75186 100000\n64459 96709\n34420 51749\n75987 100000\n62271 93467\n60435 90713\n89039 100000\n24774 37257\n72674 100000\n88680 100000\n48589 72982\n73587 100000\n1197 1809\n68279 100000\n31855 47905\n60801 91271\n3250 4900\n40753 61217\n84267 100000\n98863 100000\n61979 93024\n63296 94997\n95642 100000\n90955 100000\n25401 38188\n44882 67369\n67364 100000\n3251 4901\n1315 1980\n9909 14915\n93402 100000\n12480 18801\n84930 100000\n23937 36022\n43753 65710\n14210 21395\n95971 100000\n68884 100000\n50296 75513\n8867 13352\n19872 29888\n10507 15830\n1534 2319\n66214 99335\n89926 100000\n69433 100000\n51437 77213\n37148 55862\n69580 100000\n14005 21086\n59900 89917\n51053 76633\n80346 100000\n93260 100000\n2794 4219\n68541 100000\n26374 39637\n766 1163\n64419 96647\n61893 92901\n20905 31460\n74541 100000\n26870 40380\n4088 6137\n34051 51208\n38295 57576\n574 873\n33441 50289\n57882 86872\n74882 100000\n6953 10461\n75596 100000\n28151 42294\n56868 85346\n68500 100000\n90096 100000\n24607 37006\n7199 10849\n96040 100000\n26510 39831\n22469 33799\n56376 84610\n4484 6729\n53142 79759\n83557 100000\n14944 22495\n78257 100000\n52676 79076\n30711 46163\n65461 98193\n38622 58072\n72618 100000\n43097 64715\n38454 57821\n46267 69471\n90070 100000\n93102 100000\n84242 100000\n2428 3669\n73343 100000\n24135 36301\n40537 60884\n66790 100000\n20349 30620\n86708 100000\n18331 27582\n91461 100000\n48028 72118\n2729 4126\n5363 8059\n8177 12320\n91324 100000\n23864 35908\n54505 81808\n26556 39898\n75395 100000\n35145 52830\n83906 100000\n75742 100000\n34273 51538\n9501 14315\n32376 48700\n61862 92854\n7682 11580\n27680 41599\n32278 48556\n50533 75861\n28900 43426\n29886 44910\n17845 26847\n41994 63079\n33994 51124\n98440 100000\n16546 24877\n12822 19313\n76523 100000\n67720 100000\n93456 100000\n16867 25356\n73374 100000\n17330 26067\n21376 32153\n42895 64423\n50858 76340\n35695 53657\n90999 100000\n98540 100000\n5175 7773\n22064 33190\n13838 20837\n63083 94690\n79315 100000\n52345 78583\n21652 32569\n23347 35112\n37443 56305\n4050 6086\n80914 100000\n54304 81519\n35959 54050\n5909 8872\n50720 76138\n77755 100000\n87394 100000\n20450 30771\n76111 100000\n70147 100000\n51871 77861\n91688 100000\n65085 97631\n59116 88740\n85302 100000\n99357 100000\n71317 100000\n72974 100000\n29081 43703\n26835 40330\n79012 100000\n21991 33079\n51427 77198\n85099 100000\n63825 95776\n88197 100000\n94047 100000\n42769 64241\n79403 100000\n35058 52705\n76575 100000\n52507 78827\n99434 100000\n47938 71977\n20139 30297\n71179 100000\n77570 100000\n763 1159\n68090 100000\n27600 41480\n76407 100000\n57184 85826\n39810 59812\n79490 100000\n80819 100000\n26667 40063\n33285 50062\n97917 100000\n18564 27927\n24644 37064\n56660 85015\n18344 27603\n75219 100000\n41873 62900\n54431 81699\n761 1156\n53359 80080\n59531 89369\n8714 13124\n5402 8118\n24787 37277\n46697 70105\n79100 100000\n41963 63031\n41069 61683\n97542 100000\n26846 40345\n88102 100000\n19784 29753\n75257 100000\n47470 71264\n14744 22202\n59952 89998\n78373 100000\n68871 100000\n21003 31604\n47394 71149\n47268 70954\n32875 49457\n35101 52767\n49423 74216\n85189 100000\n32338 48646\n3680 5519\n96079 100000\n40375 60646\n63467 95247\n50784 76231\n36335 54645\n49553 74413\n63095 94707\n20620 31025\n3834 5753\n2200 3321\n81520 100000\n29685 44612\n90224 100000\n12217 18408\n8618 12989\n38368 57687\n21857 32880\n52042 78122\n52352 78592\n16041 24118\n10286 15499\n31262 47008\n43643 65543\n1688 2553\n70948 100000\n29254 43961\n28929 43473\n28649 43056\n40341 60598\n37286 56072\n96747 100000\n81298 100000\n41056 61663\n84421 100000\n2204 3328\n18853 28373\n61812 92778\n41543 62403\n55952 83982\n43304 65032\n97710 100000\n477 719\n85026 100000\n43688 65611\n55269 82953\n58750 88191\n71190 100000\n74379 100000\n2218 3348\n96130 100000\n84526 100000\n83593 100000\n71666 100000\n86467 100000\n72187 100000\n28129 42263\n75161 100000\n66902 100000\n7395 11138\n11379 17132\n29115 43754\n10482 15793\n26684 40089\n32650 49122\n12751 19207\n60243 90423\n85556 100000\n90172 100000\n54780 82223\n43517 65350\n14473 21796\n35009 52633\n65471 98209\n63170 94817\n27661 41572\n47844 71824\n50104 75224\n3167 4779\n28088 42200\n93727 100000\n96432 100000\n99104 100000\n32342 48651\n53590 80426\n68798 100000\n26689 40097\n35683 53639\n59944 89986\n18632 28027\n84938 100000\n86877 100000\n3626 5437\n27981 42051\n20348 30618\n88564 100000\n85933 100000\n13307 20039\n93915 100000\n94428 100000\n88968 100000\n62482 93778\n51294 76996\n70704 100000\n60258 90450\n96277 100000\n81566 100000\n4605 6908\n66170 99269\n20219 30413\n68315 100000\n16886 25386\n93150 100000\n4494 6742\n56571 84890\n63709 95606\n93307 100000\n72356 100000\n97249 100000\n43799 65777\n80855 100000\n65015 97527\n77836 100000\n97804 100000\n82685 100000\n4157 6238\n7290 10986\n20359 30636\n77730 100000\n86340 100000\n10037 15114\n87392 100000\n32744 49253\n46035 69119\n93638 100000\n31243 46980\n7214 10868\n64112 96195\n97882 100000\n60975 91541\n34817 52354\n62329 93550\n90815 100000\n31378 47183\n19625 29510\n76057 100000\n89071 100000\n82110 100000\n45173 67816\n46080 69183\n81751 100000\n69879 100000\n54227 81390\n74100 100000\n81716 100000\n24257 36483\n29379 44149\n23923 36000\n44152 66307\n23199 34885\n16840 25314\n64276 96439\n49606 74497\n90813 100000\n54045 81113\n98953 100000\n41098 61729\n9393 14156\n8502 12816\n55913 83923\n47060 70651\n9807 14767\n49470 74285\n76557 100000\n63937 95938\n55809 83771\n8418 12691\n89984 100000\n89954 100000\n27856 41863\n36539 54949\n29879 44899\n9611 14478\n80575 100000\n52351 78590\n64098 96172\n57445 86210\n50996 76547\n79660 100000\n84830 100000\n25992 39065\n31943 48035\n85201 100000\n28462 42764\n43996 66069\n37152 55867\n39899 59940\n42879 64398\n7617 11482\n87878 100000\n84544 100000\n20972 31559\n74212 100000\n47397 71154\n21615 32511\n33160 49884\n74592 100000\n1260 1896\n16580 24927\n84969 100000\n92123 100000\n14152 21299\n74690 100000\n66239 99373\n44447 66722\n65622 98431\n91290 100000\n48971 73538\n24294 36536\n78838 100000\n4594 6894\n40978 61550\n12117 18271\n14297 21529\n59235 88924\n99962 100000\n38628 58081\n38133 57327\n981 1485\n98137 100000\n84308 100000\n98353 100000\n56319 84530\n4654 6985\n56477 84752\n82836 100000\n90893 100000\n91213 100000\n17791 26767\n56333 84547\n5769 8652\n3032 4575\n87802 100000\n12199 18382\n95462 100000\n39974 60054\n27066 40674\n56220 84385\n21199 31892\n26529 39858\n514 778\n56632 84978\n89544 100000\n94056 100000\n69751 100000\n79920 100000\n75578 100000\n97751 100000\n61846 92829\n7346 11068\n28215 42386\n16539 24865\n73879 100000\n86873 100000\n50173 75328\n19470 29285\n82162 100000\n7114 10721\n74114 100000\n26990 40549\n65792 98686\n97006 100000\n64203 96328\n72119 100000\n20749 31225\n57807 86759\n17910 26949\n55377 83113\n44468 66752\n34113 51302\n39126 58816\n24139 36307\n30871 46402\n22968 34541\n38221 57462\n34844 52394\n28650 43058\n65462 98195\n76672 100000\n55876 83867\n19619 29501\n56504 84791\n52046 78130\n7641 11519\n69466 100000\n37312 56109\n61713 92632\n17839 26837\n12504 18835\n83311 100000\n58105 87212\n79480 100000\n16602 24961\n90806 100000\n50070 75179\n40613 61012\n97642 100000\n12973 19542\n94395 100000\n37407 56250\n84137 100000\n58687 88093\n39117 58806\n92744 100000\n50940 76464\n70822 100000\n9860 14840\n51762 77695\n2451 3705\n35348 53140\n55588 83434\n35564 53461\n90019 100000\n7554 11387\n21409 32203\n28470 42775\n3051 4603\n5126 7692\n23175 34851\n70063 100000\n1225 1847\n72295 100000\n30549 45915\n34941 52533\n36353 54670\n95394 100000\n32592 49031\n23335 35091\n43593 65471\n8151 12283\n13093 19720\n37618 56561\n67251 100000\n86454 100000\n92017 100000\n77260 100000\n86557 100000\n98857 100000\n86179 100000\n78907 100000\n65484 98227\n73735 100000\n72642 100000\n68906 100000\n4952 7430\n4904 7359\n3070 4631\n60907 91436\n9753 14686\n25536 38384\n13688 20601\n47721 71643\n83512 100000\n5863 8799\n19212 28899\n99029 100000\n67060 100000\n4647 6974\n91410 100000\n83817 100000\n60460 90749\n29709 44651\n73133 100000\n77902 100000\n43164 64817\n22089 33229\n7307 11010\n52361 78609\n36607 55050\n75718 100000\n37864 56936\n64026 96066\n70485 100000\n6030 9050\n75612 100000\n3635 5449\n26241 39435\n16121 24239\n43875 65892\n31692 47659\n84448 100000\n91482 100000\n23592 35485\n28417 42698\n21209 31906\n57224 85890\n67539 100000\n41550 62413\n36115 54296\n40814 61308\n69032 100000\n9683 14585\n85419 100000\n6892 10369\n76303 100000\n66349 99538\n65086 97632\n4330 6496\n97013 100000\n88986 100000\n61835 92812\n21929 32989\n89970 100000\n67043 100000\n72231 100000\n48292 72531\n50258 75460\n3574 5360\n72000 100000\n61119 91749\n77688 100000\n99835 100000\n99153 100000\n90115 100000\n94637 100000\n80319 100000\n2547 3844\n68673 100000\n80103 100000\n65724 98580\n22125 33282\n40069 60194\n6353 9542\n16980 25533\n42367 63634\n44821 67281\n35504 53368\n64313 96490\n22425 33726\n74843 100000\n25059 37681\n68125 100000\n3734 5601\n49708 74639\n32668 49144\n80092 100000\n10172 15319\n21672 32600\n5558 8342\n72191 100000\n89532 100000\n44020 66104\n26535 39869\n75025 100000\n77935 100000\n23866 35912\n87094 100000\n98100 100000\n36906 55499\n59422 89214\n76512 100000\n69543 100000\n90504 100000\n44043 66140\n70051 100000\n56209 84367\n43314 65050\n69161 100000\n39134 58825\n96651 100000\n55008 82559\n41188 61859\n38305 57594\n55812 83775\n87823 100000\n87521 100000\n88497 100000\n31694 47663\n76641 100000\n51502 77307\n55845 83823\n59450 89254\n92910 100000\n69572 100000\n26470 39776\n79484 100000\n97151 100000\n43207 64875\n7484 11280\n64038 96086\n88790 100000\n87980 100000\n33785 50805\n27474 41294\n51989 78046\n85507 100000\n75353 100000\n31499 47367\n30057 45159\n35813 53834\n97218 100000\n54595 81942\n5273 7925\n95734 100000\n48115 72255\n49370 74139\n74108 100000\n26969 40521\n75407 100000\n20376 30661\n7815 11776\n89646 100000\n4983 7477\n51473 77266\n88269 100000\n56373 84606\n3338 5026\n5201 7814\n27544 41395\n97618 100000\n84687 100000\n38832 58385\n71656 100000\n10630 16007\n88752 100000\n1959 2959\n2963 4471\n14309 21547\n66237 99371\n32554 48967\n69845 100000\n8357 12596\n75861 100000\n6100 9156\n44503 66799\n529 803\n59571 89427\n87290 100000\n82635 100000\n34455 51804\n41314 62049\n26751 40197\n52887 79382\n8092 12192\n8826 13297\n51204 76859\n98855 100000\n66232 99364\n25907 38941\n81930 100000\n35163 52856\n54233 81401\n92534 100000\n51705 77611\n61934 92961\n45240 67919\n8915 13428\n95130 100000\n1333 2011\n93912 100000\n68216 100000\n81495 100000\n73703 100000\n73857 100000\n31011 46619\n47345 71076\n3482 5228\n3681 5520\n99558 100000\n72752 100000\n39564 59457\n96183 100000\n58314 87534\n4423 6638\n65231 97853\n23375 35155\n17481 26290\n59078 88686\n33475 50339\n70337 100000\n96527 100000\n52073 78170\n27419 41213\n95476 100000\n88588 100000\n226 335\n85121 100000\n5434 8162\n93603 100000\n87694 100000\n70868 100000\n51153 76784\n28801 43281\n73517 100000\n45041 67622\n48037 72134\n80409 100000\n66510 99780\n27455 41268\n29865 44879\n25734 38685\n10256 15449\n27181 40844\n24826 37333\n62954 94492\n93615 100000\n84052 100000\n38971 58593\n61945 92978\n34154 51364\n91114 100000\n87378 100000\n99512 100000\n6716 10102\n39154 58855\n29921 44961\n39689 59644\n62489 93786\n15323 23043\n21291 32034\n16207 24371\n70312 100000\n87416 100000\n42477 63798\n75363 100000\n90056 100000\n8047 12125\n40812 61305\n69380 100000\n54944 82462\n97002 100000\n89579 100000\n44324 66549\n42536 63887\n31524 47405\n91816 100000\n64765 97167\n56643 84992\n51671 77559\n67677 100000\n331 498\n22427 33730\n25757 38718\n62934 94464\n16467 24756\n39161 58865\n33454 50307\n494 746\n42018 63108\n86318 100000\n86764 100000\n10354 15604\n50373 75624\n91301 100000\n32092 48258\n4410 6619\n62816 94294\n98312 100000\n45317 68039\n4178 6271\n11222 16898\n79945 100000\n56031 84106\n38377 57699\n82295 100000\n52171 78317\n38626 58078\n25453 38272\n34454 51803\n11930 17990\n51766 77701\n69974 100000\n7088 10680\n47191 70841\n69871 100000\n21218 31920\n29536 44386\n50828 76295\n17606 26486\n22305 33556\n84462 100000\n86071 100000\n66917 100000\n92816 100000\n3525 5291\n65737 98601\n20475 30812\n43646 65548\n87889 100000\n21095 31736\n91542 100000\n22886 34422\n538 817\n69811 100000\n99896 100000\n30473 45793\n50971 76509\n87893 100000\n28608 42994\n56027 84102\n49792 74770\n12106 18254\n83703 100000\n82144 100000\n94267 100000\n77767 100000\n31535 47422\n95078 100000\n50086 75203\n93086 100000\n85695 100000\n44070 66181\n99033 100000\n99493 100000\n95582 100000\n33356 50164\n79297 100000\n85210 100000\n54871 82351\n75618 100000\n59086 88698\n29786 44763\n56934 85443\n86190 100000\n55497 83297\n11060 16653\n32917 49519\n77030 100000\n95459 100000\n30250 45453\n26080 39192\n73299 100000\n54062 81137\n39374 59184\n63255 94942\n23777 35773\n36957 55575\n96662 100000\n96545 100000\n17231 25910\n4593 6893\n7772 11720\n45680 68577\n45450 68240\n26270 39478\n80608 100000\n21890 32932\n1794 2723\n34688 52152\n28701 43128\n79340 100000\n67600 100000\n11029 16607\n33759 50767\n4992 7492\n85654 100000\n89223 100000\n59583 89444\n61916 92936\n99062 100000\n87236 100000\n76592 100000\n40060 60181\n56582 84906\n31595 47516\n65314 97976\n94928 100000\n33798 50823\n11827 17835\n6305 9465\n57101 85703\n29941 44989\n23439 35248\n2878 4347\n71235 100000\n71714 100000\n5567 8354\n4734 7104\n70168 100000\n42030 63127\n53909 80915\n78298 100000\n15966 23989\n29384 44157\n84853 100000\n71774 100000\n48932 73480\n32789 49329\n13379 20148\n52564 78910\n40787 61268\n45371 68123\n90457 100000\n20301 30546\n64682 97045\n13251 19951\n54808 82262\n82863 100000\n41513 62359\n91263 100000\n36406 54754\n60912 91442\n77283 100000\n33625 50563\n25368 38140\n40518 60857\n93728 100000\n87008 100000\n51192 76842\n10369 15628\n11264 16964\n88603 100000\n90864 100000\n16512 24823\n95279 100000\n91538 100000\n48468 72801\n63856 95823\n67757 100000\n87060 100000\n64216 96345\n1455 2192\n34158 51369\n38266 57529\n72679 100000\n43780 65748\n80516 100000\n13783 20747\n65596 98393\n669 1017\n31513 47386\n20900 31453\n29618 44511\n71364 100000\n77197 100000\n1580 2386\n54244 81420\n59700 89621\n70593 100000\n72472 100000\n41220 61908\n66557 99851\n6489 9756\n46412 69687\n51701 77606\n61410 92174\n58296 87507\n85476 100000\n51820 77781\n70955 100000\n85017 100000\n55568 83407\n337 506\n96236 100000\n44021 66105\n48399 72691\n69881 100000\n9904 14907\n72685 100000\n83458 100000\n3361 5061\n168 251\n11042 16626\n92110 100000\n87085 100000\n84088 100000\n11664 17585\n53122 79728\n48855 73371\n86879 100000\n94788 100000\n67316 100000\n5475 8221\n30703 46150\n21204 31899\n41026 61621\n92654 100000\n59632 89516\n49812 74795\n61007 91585\n9526 14350\n30478 45800\n7433 11196\n51868 77855\n21917 32972\n95418 100000\n99656 100000\n49744 74694\n80318 100000\n4909 7367\n81398 100000\n57580 86418\n95421 100000\n84823 100000\n24959 37527\n5859 8792\n43013 64597\n4384 6579\n2059 3101\n25457 38278\n68266 100000\n34760 52263\n24024 36137\n87705 100000\n88162 100000\n30808 46302\n27430 41230\n79948 100000\n91553 100000\n49215 73909\n56996 85537\n70924 100000\n51206 76862\n16009 24066\n29554 44414\n62960 94499\n86883 100000\n63915 95906\n44761 67189\n80646 100000\n62227 93401\n69730 100000\n81040 100000\n19335 29081\n15298 23007\n56866 85344\n37970 57085\n55175 82817\n47753 71692\n21192 31882\n6482 9745\n18202 27392\n42669 64094\n44133 66276\n35234 52965\n87618 100000\n9071 13661\n4346 6522\n41531 62385\n35017 52644\n21906 32954\n57603 86452\n11705 17651\n99597 100000\n51784 77728\n22764 34236\n28957 43517\n14728 22175\n59934 89970\n93170 100000\n59295 89019\n64841 97283\n42445 63749\n44047 66146\n50338 75575\n5532 8305\n49321 74066\n43833 65829\n69837 100000\n38934 58536\n43185 64845\n50524 75849\n88967 100000\n85261 100000\n10861 16352\n40810 61303\n28904 43434\n86263 100000\n36698 55185\n40051 60167\n68132 100000\n84580 100000\n42925 64469\n25808 38790\n75489 100000\n13204 19884\n164 245\n8287 12494\n77388 100000\n57320 86024\n2084 3140\n74164 100000\n56916 85415\n65684 98525\n25231 37933\n11678 17607\n79889 100000\n15342 23071\n29922 44962\n8167 12305\n13513 20339\n50269 75475\n30748 46218\n89034 100000\n3577 5365\n29300 44034\n67604 100000\n42758 64224\n5449 8186\n72734 100000\n18826 28330\n15915 23920\n2040 3077\n87546 100000\n80726 100000\n16220 24391\n79905 100000\n76830 100000\n31278 47030\n43489 65311\n71545 100000\n57555 86378\n22110 33261\n20867 31403\n44254 66443\n13081 19702\n69434 100000\n22334 33597\n55579 83422\n81707 100000\n4748 7123\n59294 89018\n77451 100000\n89012 100000\n35200 52914\n22308 33560\n83847 100000\n72888 100000\n61269 91973\n71679 100000\n91981 100000\n64744 97136\n80258 100000\n33053 49722\n8811 13273\n35243 52977\n92431 100000\n47667 71561\n51655 77534\n35902 53967\n52162 78304\n69716 100000\n96992 100000\n84331 100000\n71794 100000\n1653 2503\n32096 48263\n67819 100000\n9277 13977\n62966 94508\n62906 94425\n30144 45292\n66856 100000\n36226 54474\n34477 51832\n32410 48748\n80731 100000\n43629 65525\n6159 9245\n49760 74721\n99376 100000\n74326 100000\n7109 10713\n16126 24248\n67326 100000\n76610 100000\n42444 63747\n69425 100000\n23925 36003\n6921 10413\n50601 75964\n80196 100000\n68397 100000\n1103 1670\n81668 100000\n27620 41509\n1218 1839\n80154 100000\n75183 100000\n6289 9442\n47578 71420\n75554 100000\n49849 74851\n72291 100000\n13050 19655\n88389 100000\n13436 20230\n81887 100000\n97581 100000\n63507 95304\n44656 67032\n72680 100000\n11910 17958\n16300 24508\n11508 17342\n23389 35176\n9224 13890\n75527 100000\n39725 59697\n2061 3105\n13727 20661\n35603 53518\n12092 18238\n74323 100000\n14071 21179\n34438 51778\n55153 82782\n31144 46825\n25790 38766\n57631 86493\n15757 23676\n52982 79528\n14274 21490\n50999 76552\n573 871\n15603 23457\n82226 100000\n31240 46976\n39147 58844\n14786 22264\n30267 45482\n63377 95115\n61762 92702\n71095 100000\n26400 39674\n71613 100000\n98492 100000\n34490 51852\n9379 14135\n44330 66557\n92194 100000\n41862 62883\n31658 47612\n15992 24037\n78498 100000\n86453 100000\n63077 94681\n96398 100000\n44959 67495\n52652 79041\n26175 39335\n59247 88942\n56661 85017\n65003 97509\n76435 100000\n18316 27560\n75768 100000\n49319 74062\n22003 33097\n67005 100000\n47784 71738\n39736 59712\n96504 100000\n32873 49454\n2716 4104\n29670 44587\n18429 27731\n91166 100000\n85287 100000\n4017 6034\n1069 1616\n14479 21807\n90352 100000\n23184 34864\n10080 15179\n74190 100000\n97433 100000\n63758 95675\n57501 86295\n98607 100000\n95211 100000\n63001 94566\n43598 65478\n56269 84456\n4841 7267\n52559 78903\n198 293\n39955 60024\n26513 39837\n9033 13604\n87731 100000\n63201 94862\n15813 23763\n4460 6690\n37716 56712\n9676 14575\n53074 79660\n5626 8444\n55328 83044\n70581 100000\n10099 15209\n49309 74049\n6317 9482\n21700 32644\n24083 36221\n55592 83440\n79730 100000\n17991 27072\n3072 4635\n40056 60175\n74913 100000\n64551 96848\n18720 28167\n64470 96721\n5608 8420\n98742 100000\n47264 70950\n26144 39290\n69264 100000\n10491 15804\n7560 11396\n91101 100000\n43524 65363\n10154 15291\n18579 27949\n42221 63407\n80763 100000\n43527 65368\n4037 6068\n95167 100000\n2462 3721\n95719 100000\n26805 40280\n20095 30234\n77225 100000\n42940 64491\n87968 100000\n77682 100000\n50211 75392\n44090 66212\n33245 50006\n31676 47639\n62488 93785\n99269 100000\n82548 100000\n56331 84543\n97228 100000\n50115 75240\n76159 100000\n73107 100000\n82178 100000\n95592 100000\n20470 30804\n63352 95080\n3510 5267\n42073 63189\n10728 16156\n13431 20221\n68377 100000\n37675 56650\n44563 66892\n5067 7607\n28319 42547\n16418 24683\n17173 25820\n7202 10852\n51617 77474\n52365 78615\n15884 23874\n31682 47647\n21944 33011\n17210 25880\n19876 29893\n77556 100000\n43481 65300\n52668 79064\n18023 27121\n13377 20144\n62519 93833\n46733 70159\n44984 67536\n66661 100000\n96493 100000\n13683 20594\n76545 100000\n73399 100000\n49472 74287\n58951 88495\n42484 63810\n93473 100000\n69577 100000\n73530 100000\n73251 100000\n71230 100000\n65215 97829\n27042 40634\n26623 39995\n14933 22478\n23698 35652\n71936 100000\n51258 76941\n1613 2436\n21264 31992\n26952 40497\n83410 100000\n58479 87777\n67252 100000\n71801 100000\n53792 80734\n11855 17877\n22894 34433\n21622 32523\n98908 100000\n17307 26027\n6288 9440\n38578 58005\n48043 72144\n52140 78271\n1095 1658\n2437 3684\n92458 100000\n2160 3259\n48526 72890\n57172 85809\n753 1142\n19687 29604\n1507 2275\n54221 81381\n41491 62326\n89327 100000\n43427 65221\n4352 6529\n8358 12597\n59538 89377\n43254 64953\n32213 48453\n47319 71035\n67669 100000\n29883 44905\n61357 92098\n97135 100000\n50884 76377\n1538 2325\n49810 74793\n85842 100000\n73214 100000\n8838 13312\n4999 7501\n37646 56607\n87902 100000\n24131 36295\n65327 97997\n93940 100000\n96634 100000\n85256 100000\n43300 65025\n36806 55339\n43102 64723\n91823 100000\n74332 100000\n11488 17312\n77991 100000\n60462 90752\n10072 15167\n26472 39778\n56876 85358\n86799 100000\n66529 99808\n36799 55329\n21989 33077\n60223 90391\n11368 17117\n84366 100000\n44306 66522\n39756 59737\n63165 94809\n97163 100000\n34300 51574\n93028 100000\n76661 100000\n17679 26593\n18555 27913\n78139 100000\n39036 58690\n34 48\n94563 100000\n43560 65418\n7757 11698\n29577 44452\n97109 100000\n9126 13741\n30638 46049\n52360 78608\n67204 100000\n28375 42635\n56959 85483\n16510 24821\n70993 100000\n44640 67008\n84354 100000\n64760 97158\n81705 100000\n82899 100000\n10397 15667\n97748 100000\n37023 55676\n49246 73958\n11730 17691\n3566 5348\n67740 100000\n81704 100000\n86582 100000\n8659 13045\n72772 100000\n20580 30967\n13229 19919\n29311 44051\n96390 100000\n55262 82942\n81330 100000\n13475 20289\n7436 11200\n72693 100000\n36758 55272\n98795 100000\n44456 66736\n49794 74772\n78439 100000\n21015 31620\n83793 100000\n37150 55865\n74021 100000\n4704 7059\n96654 100000\n44024 66110\n13537 20377\n74812 100000\n71918 100000\n17510 26337\n44175 66339\n2708 4090\n98293 100000\n10271 15474\n4136 6207\n74281 100000\n85270 100000\n42586 63968\n37020 55671\n56709 85090\n61627 92499\n65448 98172\n4543 6815\n92951 100000\n18177 27352\n4339 6510\n24889 37427\n59315 89048\n81147 100000\n55753 83684\n59207 88877\n63195 94854\n85117 100000\n77989 100000\n25762 38726\n48177 72352\n47581 71426\n32400 48734\n55038 82604\n22598 33989\n51030 76597\n33486 50358\n17579 26442\n65836 98752\n72842 100000\n28038 42128\n16819 25284\n87735 100000\n24324 36578\n91652 100000\n70318 100000\n97184 100000\n48266 72487\n37431 56284\n11274 16978\n54773 82210\n91543 100000\n67113 100000\n97897 100000\n32397 48730\n62374 93619\n44453 66731\n26503 39824\n18731 28185\n6763 10173\n57082 85671\n69146 100000\n34834 52378\n3272 4931\n60859 91363\n63892 95871\n75174 100000\n53864 80845\n18912 28455\n40389 60669\n43815 65803\n79056 100000\n38332 57636\n67115 100000\n89826 100000\n20549 30922\n12571 18935\n85510 100000\n70935 100000\n66653 99994\n44016 66098\n98419 100000\n37741 56752\n62977 94524\n10357 15610\n65249 97883\n34334 51626\n65923 98883\n68083 100000\n1540 2327\n61857 92845\n55152 82781\n65007 97516\n50498 75810\n15841 23808\n70791 100000\n34451 51797\n60977 91544\n82984 100000\n99433 100000\n15674 23557\n27058 40662\n7850 11825\n31973 48081\n94935 100000\n87490 100000\n59948 89991\n80107 100000\n80856 100000\n45452 68243\n36128 54314\n33619 50555\n48930 73477\n38375 57697\n9197 13850\n11154 16797\n13013 19602\n53351 80071\n88789 100000\n92940 100000\n8722 13135\n59325 89066\n72455 100000\n22866 34391\n39046 58704\n68147 100000\n36558 54977\n45414 68188\n82648 100000\n13962 21026\n15351 23087\n53048 79622\n84466 100000\n81357 100000\n66190 99294\n37651 56615\n42185 63354\n66695 100000\n56126 84242\n19151 28809\n65193 97799\n74988 100000\n55331 83049\n16875 25368\n51150 76779\n3547 5321\n7728 11651\n41856 62873\n20839 31360\n90382 100000\n24268 36499\n10053 15140\n2595 3915\n38825 58374\n73812 100000\n88369 100000\n89042 100000\n2514 3797\n77400 100000\n96406 100000\n79615 100000\n68255 100000\n28695 43119\n43897 65923\n87591 100000\n35460 53304\n95662 100000\n82701 100000\n62800 94267\n61703 92618\n17573 26433\n10416 15699\n10047 15130\n39884 59919\n27518 41357\n46082 69186\n72321 100000\n34378 51693\n32786 49323\n96409 100000\n20672 31104\n11020 16594\n23050 34659\n388 581\n68224 100000\n13438 20234\n924 1402\n32475 48846\n55309 83017\n23185 34865\n90336 100000\n7405 11152\n31301 47066\n91174 100000\n85190 100000\n15480 23275\n90964 100000\n54601 81949\n52502 78819\n56516 84809\n78839 100000\n10999 16559\n98900 100000\n64001 96030\n18613 28001\n7888 11883\n53885 80879\n6933 10431\n71959 100000\n3088 4659\n49703 74631\n71507 100000\n45005 67569\n36447 54814\n31416 47240\n98042 100000\n61466 92264\n69190 100000\n44924 67439\n47217 70880\n10259 15453\n26205 39383\n32235 48490\n23250 34959\n20721 31179\n35366 53167\n37630 56581\n79161 100000\n7319 11025\n14036 21131\n18860 28382\n68623 100000\n58846 88339\n35578 53481\n23579 35466\n5596 8401\n81959 100000\n70173 100000\n62631 94007\n53229 79887\n49265 73986\n51743 77666\n12761 19221\n34921 52506\n76419 100000\n37785 56815\n43872 65887\n70374 100000\n27639 41540\n29380 44150\n37679 56656\n33715 50701\n19523 29361\n15335 23061\n74993 100000\n48776 73254\n3421 5145\n97925 100000\n8330 12555\n63914 95904\n66715 100000\n78216 100000\n34900 52479\n57830 86794\n58469 87763\n36788 55316\n89593 100000\n56673 85035\n85551 100000\n14433 21736\n69816 100000\n56322 84534\n15517 23325\n13492 20311\n54310 81528\n27987 42059\n65865 98798\n65650 98472\n67906 100000\n90998 100000\n1873 2838\n11307 17028\n44676 67063\n26451 39749\n91373 100000\n93926 100000\n84280 100000\n19364 29127\n20901 31454\n43898 65924\n74375 100000\n43346 65100\n94826 100000\n41830 62830\n42619 64022\n14456 21771\n41791 62772\n34776 52288\n45845 68828\n31744 47741\n3044 4593\n20160 30328\n78970 100000\n78480 100000\n28750 43202\n24321 36574\n63392 95139\n41914 62961\n29892 44919\n56815 85264\n37875 56952\n63171 94818\n101 151\n35557 53448\n50256 75457\n53168 79797\n24229 36443\n33383 50201\n14616 22010\n92703 100000\n68320 100000\n82332 100000\n32956 49582\n94322 100000\n58026 87092\n39776 59762\n87777 100000\n67704 100000\n77207 100000\n91355 100000\n54490 81783\n20081 30211\n57803 86754\n68263 100000\n74147 100000\n37723 56725\n98782 100000\n5083 7629\n90932 100000\n5898 8855\n87570 100000\n51377 77125\n71758 100000\n99328 100000\n87162 100000\n81843 100000\n87741 100000\n93987 100000\n73693 100000\n54036 81100\n28832 43331\n68608 100000\n15337 23064\n62241 93423\n70566 100000\n10104 15218\n76878 100000\n39083 58760\n80929 100000\n95145 100000\n22395 33682\n64624 96955\n97043 100000\n71074 100000\n54487 81780\n84426 100000\n91206 100000\n69461 100000\n2362 3571\n88795 100000\n71763 100000\n41374 62144\n80563 100000\n10956 16499\n38001 57131\n74223 100000\n15100 22731\n40411 60701\n37562 56482\n3785 5681\n2132 3211\n60173 90321\n87487 100000\n68691 100000\n23952 36039\n29462 44274\n6357 9550\n4215 6325\n87894 100000\n30119 45255\n77924 100000\n88652 100000\n31108 46769\n6052 9084\n36487 54872\n169 253\n40239 60449\n94724 100000\n64297 96468\n9679 14579\n24054 36181\n3613 5417\n27603 41484\n64804 97231\n21486 32314\n70361 100000\n21254 31976\n91594 100000\n20467 30799\n58911 88435\n4866 7304\n47265 70951\n63368 95102\n10068 15161\n84115 100000\n65077 97620\n65533 98300\n20643 31061\n32508 48898\n73135 100000\n56595 84924\n51220 76882\n99210 100000\n42355 63617\n70018 100000\n62644 94028\n56163 84295\n40967 61536\n56617 84956\n66912 100000\n89378 100000\n334 502\n45978 69031\n36488 54873\n98090 100000\n54817 82276\n63604 95454\n11989 18078\n11800 17796\n88552 100000\n98687 100000\n15853 23826\n98220 100000\n17642 26539\n96542 100000\n25066 37691\n5154 7740\n17523 26356\n38839 58396\n40302 60537\n3401 5117\n18855 28376\n24622 37030\n39612 59530\n18494 27829\n99238 100000\n96453 100000\n82417 100000\n95879 100000\n78666 100000\n82902 100000\n22274 33506\n13409 20189\n7181 10820\n41303 62034\n71889 100000\n83012 100000\n79004 100000\n6216 9327\n75471 100000\n81333 100000\n69385 100000\n91755 100000\n79723 100000\n25376 38152\n51643 77515\n9952 14980\n40370 60636\n85053 100000\n15109 22745\n99601 100000\n60388 90645\n3240 4884\n83174 100000\n15689 23578\n94551 100000\n23207 34897\n65649 98470\n51504 77309\n93187 100000\n67882 100000\n7665 11555\n22195 33388\n78185 100000\n9941 14965\n43657 65563\n24810 37310\n88518 100000\n58754 88197\n45592 68449\n83878 100000\n60740 91173\n84200 100000\n50063 75170\n37586 56515\n14813 22307\n50432 75714\n14134 21269\n14819 22318\n9631 14507\n52305 78522\n94311 100000\n70942 100000\n70311 100000\n37602 56538\n85134 100000\n63106 94726\n12230 18426\n28724 43163\n72304 100000\n19172 28843\n68108 100000\n89227 100000\n53713 80609\n95693 100000\n62617 93987\n14625 22022\n35731 53712\n16072 24162\n85357 100000\n75568 100000\n82116 100000\n76603 100000\n46269 69474\n15414 23177\n36561 54981\n73013 100000\n25306 38050\n36664 55138\n73195 100000\n92499 100000\n54327 81553\n98156 100000\n60488 90792\n41331 62075\n309 462\n46260 69459\n84557 100000\n16160 24300\n57925 86938\n67110 100000\n22123 33280\n66699 100000\n29041 43643\n94909 100000\n16576 24921\n82568 100000\n70534 100000\n28883 43403\n74569 100000\n25654 38564\n35045 52684\n32037 48173\n36527 54932\n92990 100000\n54076 81159\n71112 100000\n59371 89137\n53801 80750\n91595 100000\n16788 25241\n42351 63610\n5607 8418\n85203 100000\n83727 100000\n27104 40733\n37396 56233\n31688 47655\n94298 100000\n93227 100000\n10534 15867\n33727 50719\n54515 81822\n71650 100000\n79017 100000\n77539 100000\n60966 91526\n90255 100000\n8226 12399\n17819 26810\n86898 100000\n11639 17547\n28164 42315\n29518 44359\n55495 83294\n71869 100000\n2260 3415\n5114 7674\n60039 90124\n60295 90505\n69764 100000\n2102 3169\n94690 100000\n99763 100000\n5712 8571\n3365 5066\n9927 14944\n19361 29121\n72955 100000\n31816 47844\n88293 100000\n67718 100000\n46877 70391\n81150 100000\n84764 100000\n268 402\n97200 100000\n63524 95332\n85304 100000\n49234 73938\n8878 13368\n68084 100000\n49755 74714\n57306 86006\n58635 88011\n98106 100000\n59787 89750\n82828 100000\n83534 100000\n88168 100000\n55325 83040\n21809 32808\n7504 11310\n77541 100000\n26028 39114\n88501 100000\n74058 100000\n46654 70042\n49290 74022\n62760 94203\n6329 9503\n69472 100000\n6278 9424\n914 1388\n33948 51053\n46560 69908\n50435 75720\n27879 41897\n34036 51187\n23720 35686\n40113 60263\n44417 66680\n61632 92507\n23361 35131\n1474 2221\n36856 55421\n56101 84206\n29075 43694\n26760 40210\n78020 100000\n1693 2561\n63230 94903\n38690 58167\n37416 56262\n33731 50724\n536 814\n3122 4712\n71185 100000\n90276 100000\n48259 72477\n2495 3769\n19090 28727\n5168 7763\n27280 40996\n20101 30244\n59050 88642\n77303 100000\n30221 45412\n61141 91780\n63487 95274\n54114 81222\n29203 43889\n41344 62094\n58667 88060\n68420 100000\n38174 57388\n59255 88955\n38991 58627\n82285 100000\n38818 58363\n53730 80635\n59773 89731\n39135 58827\n7846 11818\n46004 69075\n38719 58212\n35367 53168\n26871 40382\n76231 100000\n46866 70374\n16577 24923\n5869 8808\n13604 20477\n73316 100000\n34848 52400\n43607 65492\n41648 62563\n23997 36096\n92019 100000\n81839 100000\n77356 100000\n19489 29313\n94669 100000\n8408 12676\n32405 48741\n25253 37969\n67320 100000\n17656 26560\n60299 90510\n97497 100000\n99933 100000\n69010 100000\n84197 100000\n43338 65086\n18755 28222\n56649 85001\n97300 100000\n9388 14148\n69803 100000\n73571 100000\n63127 94754\n34074 51243\n30575 45952\n58587 87944\n5588 8387\n45532 68361\n29364 44128\n64454 96701\n24824 37329\n67843 100000\n68217 100000\n25952 39007\n6641 9984\n75760 100000\n47665 71558\n77051 100000\n9523 14346\n86149 100000\n42377 63646\n84970 100000\n16895 25402\n21036 31647\n64315 96494\n46122 69245\n99308 100000\n96055 100000\n34389 51707\n46228 69406\n88392 100000\n97626 100000\n43064 64668\n38799 58335\n39580 59479\n14107 21227\n33144 49861\n25151 37818\n71486 100000\n33325 50121\n75563 100000\n76070 100000\n99758 100000\n15896 23894\n53130 79740\n3115 4701\n21866 32893\n81080 100000\n87102 100000\n45009 67576\n47833 71808\n16707 25122\n31539 47428\n42239 63437\n42585 63966\n5046 7576\n46925 70456\n38271 57539\n21639 32551\n97460 100000\n40792 61275\n60633 91014\n9235 13909\n41070 61684\n25744 38700\n99405 100000\n30442 45744\n97983 100000\n8483 12785\n25369 38142\n19700 29628\n76470 100000\n53834 80799\n49099 73732\n97906 100000\n6609 9932\n77838 100000\n56549 84859\n41157 61814\n75051 100000\n86934 100000\n22299 33549\n25570 38433\n53604 80446\n92159 100000\n49278 74003\n23136 34793\n57021 85575\n5038 7563\n77270 100000\n269 404\n24433 36740\n11465 17274\n35125 52800\n40052 60168\n81757 100000\n74734 100000\n26008 39086\n42677 64106\n84101 100000\n23172 34846\n56719 85109\n14310 21549\n87253 100000\n35111 52781\n80681 100000\n78814 100000\n78552 100000\n27635 41535\n83809 100000\n98735 100000\n43529 65371\n28003 42081\n10582 15933\n50413 75686\n75701 100000\n76127 100000\n7955 11987\n82665 100000\n2091 3152\n62270 93466\n3000 4526\n32050 48195\n89360 100000\n72565 100000\n85770 100000\n82821 100000\n41849 62863\n22383 33664\n35742 53731\n81249 100000\n96884 100000\n60736 91166\n30324 45565\n20052 30167\n51719 77630\n79495 100000\n72343 100000\n27508 41340\n4639 6961\n27397 41175\n3865 5804\n12774 19241\n10589 15945\n86806 100000\n47540 71367\n62993 94553\n59681 89591\n85813 100000\n25942 38993\n40916 61460\n1077 1628\n17870 26890\n24606 37005\n24466 36790\n20708 31161\n97223 100000\n71340 100000\n83710 100000\n1732 2624\n40542 60892\n45646 68526\n70867 100000\n40495 60826\n28111 42237\n95467 100000\n4671 7010\n77871 100000\n20230 30432\n77469 100000\n78309 100000\n32398 48731\n46796 70258\n95707 100000\n53751 80668\n60160 90302\n61702 92616\n69920 100000\n44567 66897\n75048 100000\n39269 59023\n46918 70447\n48004 72081\n77358 100000\n63471 95253\n5439 8170\n72325 100000\n26317 39548\n82296 100000\n19342 29090\n14230 21423\n37537 56445\n84246 100000\n35416 53236\n12075 18209\n11750 17722\n74488 100000\n66114 99183\n70737 100000\n28498 42820\n51476 77272\n74881 100000\n75182 100000\n47990 72059\n99941 100000\n46563 69913\n25685 38609\n27342 41089\n62649 94035\n86564 100000\n91793 100000\n92785 100000\n20597 30995\n80360 100000\n59156 88802\n3679 5517\n5482 8231\n18669 28088\n30806 46299\n99245 100000\n60109 90230\n52813 79274\n4171 6261\n22693 34127\n86614 100000\n85133 100000\n56087 84184\n73841 100000\n60399 90659\n19540 29388\n6699 10073\n75878 100000\n34272 51536\n21427 32232\n20149 30311\n25617 38508\n43510 65341\n88827 100000\n93256 100000\n48809 73299\n92317 100000\n78550 100000\n91448 100000\n31810 47834\n65074 97616\n1716 2598\n10983 16536\n27391 41167\n2051 3090\n80105 100000\n82261 100000\n73536 100000\n97662 100000\n46696 70104\n17610 26491\n38315 57607\n73991 100000\n66215 99337\n33479 50345\n16647 25030\n28214 42384\n79559 100000\n58748 88188\n27611 41496\n29272 43991\n59781 89743\n85119 100000\n86419 100000\n242 359\n65733 98596\n82227 100000\n41047 61652\n58538 87866\n93081 100000\n73292 100000\n98843 100000\n18336 27591\n53592 80429\n34768 52276\n95998 100000\n31829 47863\n88402 100000\n75831 100000\n30064 45171\n11358 17103\n96220 100000\n33624 50561\n94044 100000\n85761 100000\n75637 100000\n22184 33372\n38714 58203\n71961 100000\n10967 16514\n25965 39025\n96298 100000\n23860 35902\n10739 16175\n38366 57684\n7961 11994\n64268 96426\n70840 100000\n6722 10113\n10192 15349\n4564 6846\n85089 100000\n49199 73884\n96723 100000\n31670 47630\n43703 65632\n22555 33922\n58962 88510\n64588 96903\n81044 100000\n26495 39813\n40449 60758\n2034 3069\n69074 100000\n12311 18554\n32526 48929\n35907 53974\n65841 98759\n16267 24460\n49137 73790\n80387 100000\n80945 100000\n16953 25493\n6845 10298\n15419 23185\n92948 100000\n24845 37363\n58506 87817\n85630 100000\n75103 100000\n40356 60617\n56399 84644\n88677 100000\n2796 4221\n25641 38547\n92587 100000\n63196 94855\n35490 53346\n81231 100000\n58180 87323\n51001 76555\n26794 40262\n90481 100000\n10731 16161\n40913 61455\n98240 100000\n51953 77986\n87403 100000\n28738 43183\n69255 100000\n9424 14202\n81990 100000\n96047 100000\n3725 5588\n35368 53170\n8279 12479\n95114 100000\n16845 25322\n72865 100000\n65950 98928\n30181 45351\n11378 17131\n80279 100000\n80267 100000\n70794 100000\n82896 100000\n44461 66742\n27551 41404\n7621 11488\n41118 61758\n97904 100000\n46525 69857\n43160 64809\n8999 13557\n75566 100000\n84800 100000\n51318 77039\n63916 95907\n81266 100000\n12821 19311\n50923 76438\n79124 100000\n75871 100000\n73291 100000\n5405 8122\n59401 89183\n26631 40007\n70470 100000\n48479 72817\n24432 36739\n92437 100000\n13767 20724\n20457 30782\n22219 33422\n26042 39135\n43362 65124\n78678 100000\n97402 100000\n62469 93760\n45405 68174\n43709 65639\n58546 87877\n4297 6448\n13867 20883\n19255 28963\n95725 100000\n4824 7242\n69186 100000\n92148 100000\n28500 42822\n81083 100000\n5130 7698\n19925 29964\n30744 46214\n18734 28189\n71106 100000\n37684 56663\n94937 100000\n77271 100000\n9017 13583\n4239 6358\n55964 84002\n77353 100000\n15300 23009\n21959 33034\n91239 100000\n61801 92763\n61646 92531\n33980 51101\n25635 38536\n74567 100000\n8487 12792\n11985 18073\n13154 19812\n42081 63200\n8769 13207\n71883 100000\n11446 17242\n32971 49602\n33791 50813\n97987 100000\n53470 80248\n27293 41016\n9918 14928\n98450 100000\n76658 100000\n50377 75632\n55628 83493\n33394 50219\n11473 17288\n93147 100000\n88710 100000\n86445 100000\n39146 58843\n52116 78239\n13938 20991\n35404 53218\n34929 52516\n96582 100000\n5162 7753\n9485 14291\n16256 24445\n90049 100000\n33310 50097\n45212 67873\n73542 100000\n13197 19875\n4303 6456\n4437 6657\n89726 100000\n48585 72976\n35287 53047\n1816 2755\n32578 49009\n5035 7558\n9623 14494\n86576 100000\n36094 54264\n34360 51664\n44796 67240\n28029 42118\n13499 20320\n43958 66014\n66027 99044\n46112 69229\n13494 20314\n99007 100000\n41595 62476\n58775 88231\n72445 100000\n60717 91137\n73036 100000\n20388 30677\n23522 35373\n60280 90482\n18226 27429\n72354 100000\n6865 10328\n71138 100000\n93235 100000\n4640 6962\n28590 42965\n73794 100000\n15902 23903\n3903 5855\n25240 37947\n92433 100000\n50210 75390\n27268 40979\n90581 100000\n38838 58394\n99964 100000\n19018 28618\n20609 31009\n99564 100000\n3440 5171\n40039 60151\n35073 52727\n36628 55077\n43658 65565\n87335 100000\n78893 100000\n17129 25755\n94848 100000\n13006 19593\n32297 48583\n32730 49234\n78194 100000\n64032 96076\n50794 76247\n8539 12871\n86650 100000\n8156 12290\n47509 71320\n87407 100000\n3137 4734\n94849 100000\n41062 61672\n3842 5765\n72296 100000\n98229 100000\n49627 74526\n81798 100000\n27782 41758\n20097 30236\n70468 100000\n29469 44285\n37954 57062\n94147 100000\n46168 69318\n88342 100000\n72625 100000\n12828 19322\n83648 100000\n75807 100000\n85091 100000\n21215 31915\n60664 91063\n3508 5264\n89760 100000\n87962 100000\n68693 100000\n91593 100000\n93848 100000\n47407 71168\n66499 99763\n11337 17073\n59693 89610\n44517 66820\n42144 63290\n37258 56028\n73988 100000\n77032 100000\n97329 100000\n29084 43708\n29112 43749\n46432 69718\n85975 100000\n898 1362\n24469 36795\n12381 18659\n82025 100000\n49112 73753\n87991 100000\n18561 27921\n71990 100000\n37836 56890\n41535 62391\n64854 97304\n47282 70975\n88440 100000\n56610 84946\n21687 32623\n73050 100000\n37104 55796\n57066 85647\n70471 100000\n67223 100000\n76112 100000\n49111 73751\n80343 100000\n11593 17473\n43567 65429\n38340 57649\n83958 100000\n19399 29179\n4902 7356\n57581 86420\n36123 54308\n93939 100000\n73020 100000\n98101 100000\n74014 100000\n28843 43348\n52207 78375\n22061 33185\n20554 30930\n7322 11029\n38244 57499\n47137 70758\n72602 100000\n37375 56205\n69232 100000\n29881 44902\n65692 98536\n57612 86465\n73277 100000\n45988 69048\n25494 38326\n92665 100000\n56448 84712\n17326 26059\n1562 2361\n99370 100000\n80593 100000\n65410 98112\n64199 96323\n96626 100000\n39890 59927\n97128 100000\n55992 84042\n66355 99547\n93492 100000\n5043 7571\n66873 100000\n10244 15430\n7226 10885\n6626 9958\n45943 68978\n47923 71955\n33445 50296\n23673 35610\n57702 86604\n58706 88122\n43706 65636\n10822 16295\n4573 6862\n37901 56989\n30829 46335\n77253 100000\n38088 57255\n2300 3474\n8438 12721\n90114 100000\n32739 49245\n86235 100000\n87216 100000\n41514 62360\n27092 40713\n22292 33538\n53408 80158\n94302 100000\n26010 39089\n97551 100000\n96717 100000\n11457 17261\n20617 31021\n48171 72344\n71115 100000\n50507 75824\n64962 97454\n54761 82190\n91469 100000\n30437 45738\n14980 22551\n60260 90454\n50182 75341\n76895 100000\n49377 74148\n2036 3071\n93310 100000\n45958 69000\n32539 48944\n43651 65554\n23193 34876\n35671 53619\n40828 61330\n31661 47617\n71968 100000\n4433 6652\n73549 100000\n27546 41397\n87900 100000\n74992 100000\n94248 100000\n35171 52869\n52748 79178\n55316 83028\n63775 95704\n75268 100000\n83366 100000\n21478 32304\n86578 100000\n69369 100000\n80890 100000\n75896 100000\n99473 100000\n59766 89723\n83947 100000\n70510 100000\n17551 26398\n13034 19633\n49186 73865\n3512 5270\n97801 100000\n69358 100000\n90386 100000\n61515 92338\n41605 62494\n4063 6106\n67788 100000\n40253 60467\n76867 100000\n98922 100000\n93205 100000\n72692 100000\n74538 100000\n63991 96013\n4702 7056\n14831 22334\n95841 100000\n75649 100000\n10788 16247\n25676 38597\n36394 54735\n80772 100000\n44354 66590\n43364 65127\n15725 23626\n16611 24976\n61107 91732\n4492 6739\n39447 59288\n65228 97849\n66996 100000\n74756 100000\n65117 97681\n79256 100000\n70654 100000\n74035 100000\n22869 34395\n13517 20344\n65369 98053\n82609 100000\n34235 51484\n53988 81031\n20622 31029\n38785 58314\n6104 9163\n21004 31605\n65398 98094\n57336 86051\n66548 99836\n24620 37028\n14155 21305\n81146 100000\n18957 28527\n7273 10960\n43735 65681\n39222 58947\n65013 97525\n41329 62073\n76254 100000\n79343 100000\n22009 33104\n29455 44264\n39676 59624\n58432 87706\n97646 100000\n24683 37122\n21832 32842\n11544 17394\n20811 31317\n11321 17047\n32336 48642\n83343 100000\n52547 78887\n4568 6853\n53720 80620\n58958 88504\n29582 44460\n29026 43619\n92853 100000\n76316 100000\n1604 2422\n63997 96024\n85104 100000\n44784 67224\n69595 100000\n56977 85509\n32894 49483\n7931 11949\n83777 100000\n78072 100000\n5888 8839\n19579 29446\n86164 100000\n40426 60723\n41567 62438\n31540 47430\n3733 5600\n26803 40276\n6839 10290\n77739 100000\n18965 28539\n7707 11619\n91247 100000\n88860 100000\n28475 42781\n37868 56942\n78969 100000\n8416 12688\n36993 55632\n10477 15786\n90478 100000\n15523 23334\n89603 100000\n12077 18212\n88381 100000\n94405 100000\n69069 100000\n10313 15540\n52374 78632\n73127 100000\n92693 100000\n29221 43919\n93291 100000\n24341 36603\n90785 100000\n34317 51598\n27550 41403\n37115 55812\n36449 54817\n7373 11108\n85452 100000\n84576 100000\n6654 10006\n86303 100000\n15407 23167\n72233 100000\n17134 25764\n48543 72914\n25592 38467\n62781 94238\n17504 26326\n82089 100000\n92574 100000\n7023 10579\n64150 96251\n33766 50777\n58050 87125\n36663 55137\n32948 49567\n80233 100000\n72012 100000\n41606 62496\n66338 99520\n42135 63276\n76963 100000\n27516 41353\n12749 19205\n74621 100000\n35475 53327\n22562 33932\n59111 88734\n97352 100000\n46559 69907\n7874 11863\n63698 95591\n72414 100000\n82958 100000\n10045 15126\n63094 94705\n31763 47765\n25794 38771\n80033 100000\n51710 77619\n27294 41018\n30059 45163\n46242 69428\n8925 13443\n38727 58224\n87814 100000\n71516 100000\n90614 100000\n39504 59370\n53410 80160\n44001 66076\n59339 89088\n39479 59334\n37074 55752\n8918 13431\n77830 100000\n33841 50892\n7017 10570\n1743 2642\n51321 77043\n78825 100000\n21379 32158\n67422 100000\n756 1147\n49196 73881\n13468 20278\n37343 56154\n11621 17518\n14856 22370\n85122 100000\n78176 100000\n22338 33602\n55477 83266\n74889 100000\n391 584\n85150 100000\n64529 96814\n29626 44521\n33340 50141\n74838 100000\n91670 100000\n82421 100000\n79952 100000\n48753 73224\n32853 49424\n11195 16857\n19401 29183\n21052 31673\n5808 8716\n12080 18217\n56125 84240\n47140 70763\n79930 100000\n62973 94518\n79257 100000\n4705 7060\n714 1086\n22495 33836\n79217 100000\n61303 92020\n99918 100000\n78993 100000\n3949 5928\n80554 100000\n65899 98848\n40006 60103\n95416 100000\n64493 96759\n65528 98293\n22136 33300\n91835 100000\n89803 100000\n61473 92275\n20262 30485\n32637 49100\n34309 51588\n24998 37588\n92490 100000\n10860 16351\n6841 10292\n64670 97026\n36484 54867\n71067 100000\n93884 100000\n42021 63113\n80228 100000\n4905 7361\n25613 38501\n21229 31936\n81963 100000\n27773 41743\n38520 57921\n40692 61128\n43437 65236\n25795 38772\n29800 44781\n2932 4426\n20828 31343\n15978 24011\n38641 58097\n61204 91874\n79562 100000\n91309 100000\n86951 100000\n1388 2091\n73981 100000\n52565 78911\n46051 69142\n42332 63581\n47860 71848\n61220 91900\n47206 70862\n54785 82231\n61331 92061\n12409 18699\n21092 31732\n9230 13900\n42295 63523\n79356 100000\n72532 100000\n99626 100000\n13806 20783\n85197 100000\n34482 51840\n61371 92118\n5951 8935\n73331 100000\n4006 6018\n31431 47264\n26267 39474\n47513 71326\n67411 100000\n73946 100000\n39499 59363\n18367 27638\n15620 23479\n9774 14720\n78539 100000\n85359 100000\n39850 59870\n27923 41960\n80980 100000\n55577 83419\n27645 41549\n32097 48264\n36916 55513\n35696 53658\n47482 71282\n42556 63917\n16713 25129\n93393 100000\n4873 7315\n50786 76234\n54623 81982\n87061 100000\n56502 84788\n47943 71987\n36988 55623\n26326 39564\n34835 52380\n10512 15839\n150 224\n38749 58259\n41803 62792\n33001 49647\n92718 100000\n94680 100000\n31247 46985\n62764 94209\n35222 52948\n47620 71486\n75187 100000\n42786 64267\n39377 59189\n45588 68444\n65396 98090\n3337 5025\n59575 89431\n33845 50897\n57290 85982\n53794 80738\n64091 96164\n77059 100000\n85106 100000\n59093 88707\n8263 12453\n69236 100000\n65024 97539\n92153 100000\n15807 23754\n86583 100000\n58841 88333\n21079 31711\n96013 100000\n62621 93993\n18460 27780\n64513 96787\n4177 6270\n29813 44800\n22662 34087\n1217 1837\n13010 19598\n33623 50560\n45905 68922\n97601 100000\n75424 100000\n88555 100000\n30794 46281\n34485 51845\n95540 100000\n46372 69629\n22864 34388\n6072 9113\n19038 28649\n15870 23853\n92088 100000\n24237 36455\n74087 100000\n85457 100000\n70116 100000\n71706 100000\n87936 100000\n61493 92304\n54513 81819\n24966 37538\n99093 100000\n79320 100000\n8521 12844\n23088 34720\n32306 48596\n91112 100000\n1236 1862\n6386 9597\n66356 99549\n75842 100000\n77619 100000\n10083 15183\n13718 20646\n37328 56134\n39639 59570\n12701 19126\n98328 100000\n98343 100000\n36071 54228\n6975 10499\n93533 100000\n44515 66818\n12505 18837\n80934 100000\n79476 100000\n74665 100000\n63864 95834\n72641 100000\n6491 9760\n34608 52025\n74935 100000\n89946 100000\n49372 74142\n14236 21433\n39483 59339\n2121 3197\n78160 100000\n76195 100000\n26419 39703\n76225 100000\n59971 90025\n74859 100000\n19007 28602\n97569 100000\n57121 85732\n18414 27707\n62983 94535\n42513 63854\n20059 30178\n54851 82323\n30365 45625\n6956 10466\n44051 66152\n93541 100000\n878 1333\n58535 87861\n57520 86324\n38759 58275\n48101 72235\n58721 88145\n38462 57833\n3783 5677\n41559 62425\n40395 60678\n92072 100000\n14554 21915\n64514 96789\n63616 95472\n28251 42444\n47696 71606\n47521 71338\n83484 100000\n40451 60762\n51097 76702\n74612 100000\n7914 11924\n83393 100000\n95266 100000\n7530 11351\n92836 100000\n86896 100000\n49969 75033\n84008 100000\n75329 100000\n6920 10411\n22043 33156\n26889 40408\n99066 100000\n36623 55070\n39184 58894\n59227 88911\n9268 13963\n56441 84703\n34934 52524\n16045 24123\n44571 66902\n99100 100000\n8170 12310\n42663 64083\n61684 92587\n18512 27854\n1812 2750\n45681 68579\n56082 84179\n25991 39063\n23209 34900\n87217 100000\n66862 100000\n180 267\n79929 100000\n65635 98451\n17042 25627\n77267 100000\n39880 59911\n20463 30793\n6696 10069\n65451 98176\n60274 90476\n73440 100000\n88406 100000\n52350 78588\n73645 100000\n88204 100000\n58133 87254\n38455 57822\n94413 100000\n20362 30640\n24946 37509\n51379 77129\n42264 63476\n65958 98938\n71805 100000\n66089 99143\n71041 100000\n78579 100000\n54069 81148\n79547 100000\n92577 100000\n27204 40880\n87016 100000\n1949 2943\n45541 68374\n62924 94451\n24569 36949\n21389 32173\n85603 100000\n33996 51128\n96813 100000\n74970 100000\n27849 41854\n36917 55514\n23514 35360\n33608 50538\n10344 15591\n7458 11238\n97737 100000\n7824 11789\n81004 100000\n11863 17889\n81730 100000\n22286 33528\n74851 100000\n6943 10445\n84321 100000\n16789 25242\n5585 8381\n41574 62447\n13390 20161\n6931 10428\n44762 67190\n59714 89646\n93690 100000\n68066 100000\n33118 49819\n53638 80497\n20423 30731\n93491 100000\n55738 83660\n77964 100000\n16990 25545\n15022 22613\n22596 33985\n33329 50127\n18921 28469\n71736 100000\n45556 68398\n44445 66719\n96423 100000\n65438 98157\n4052 6090\n50011 75097\n83891 100000\n13371 20137\n13622 20505\n32177 48397\n79066 100000\n60805 91278\n10395 15664\n82756 100000\n37389 56223\n62625 93998\n36516 54916\n81201 100000\n34959 52561\n16506 24815\n93225 100000\n65096 97649\n46632 70008\n76104 100000\n84175 100000\n53553 80373\n96500 100000\n44504 66801\n48313 72565\n36077 54238\n87183 100000\n9087 13683\n51202 76856\n92275 100000\n15952 23969\n60285 90490\n45411 68184\n71393 100000\n86422 100000\n24819 37320\n67708 100000\n59968 90020\n83966 100000\n79335 100000\n90965 100000\n57460 86235\n49364 74130\n32209 48445\n85874 100000\n85369 100000\n29828 44819\n17965 27030\n11738 17705\n11695 17634\n29482 44305\n77406 100000\n50968 76505\n71829 100000\n16601 24960\n4316 6474\n53450 80218\n20087 30220\n15544 23363\n38380 57704\n20787 31280\n36692 55176\n19001 28592\n29448 44255\n75204 100000\n81047 100000\n63871 95843\n87849 100000\n17140 25772\n768 1165\n94567 100000\n3874 5814\n58306 87521\n35843 53879\n87599 100000\n15174 22831\n7217 10873\n82817 100000\n54175 81315\n19967 30034\n23197 34881\n1525 2305\n85101 100000\n49231 73932\n86558 100000\n59660 89558\n36839 55392\n63279 94973\n26474 39782\n55475 83263\n88648 100000\n16255 24443\n3943 5919\n17842 26842\n93973 100000\n65708 98560\n22815 34312\n83288 100000\n16885 25385\n49532 74382\n24404 36697\n21540 32388\n85343 100000\n9645 14531\n26370 39630\n95363 100000\n77076 100000\n71932 100000\n44687 67079\n34771 52281\n1 2\n33007 49656\n71338 100000\n87971 100000\n91029 100000\n51496 77298\n98478 100000\n49618 74512\n86962 100000\n59833 89816\n38424 57776\n90108 100000\n78426 100000\n14687 22112\n44145 66295\n85920 100000\n38629 58082\n48265 72486\n92566 100000\n16026 24092\n26681 40085\n11350 17090\n75996 100000\n63206 94869\n68440 100000\n10596 15955\n49341 74097\n64272 96433\n23705 35663\n14148 21293\n88941 100000\n12463 18780\n41130 61775\n43484 65304\n57589 86433\n96895 100000\n94869 100000\n53426 80185\n18679 28103\n56197 84347\n62971 94516\n51183 76831\n83319 100000\n16172 24317\n7313 11017\n81909 100000\n35270 53020\n94475 100000\n10629 16006\n2845 4297\n53453 80223\n75120 100000\n54983 82522\n89387 100000\n62421 93693\n11464 17272\n61769 92713\n94990 100000\n92455 100000\n74534 100000\n55031 82593\n93699 100000\n48706 73158\n15821 23775\n29126 43770\n39568 59463\n86309 100000\n90207 100000\n93027 100000\n93172 100000\n62195 93347\n96273 100000\n44353 66589\n94171 100000\n27132 40773\n549 834\n15975 24007\n80294 100000\n88647 100000\n16806 25266\n33547 50450\n7628 11499\n80853 100000\n4653 6984\n20564 30942\n7486 11284\n71546 100000\n67553 100000\n56304 84508\n62295 93503\n45940 68973\n59741 89687\n64955 97444\n96045 100000\n2073 3122\n35994 54105\n19167 28835\n1551 2345\n19150 28808\n39097 58778\n56402 84648\n8465 12761\n95613 100000\n25101 37746\n39112 58800\n15610 23466\n17833 26829\n12246 18449\n37977 57096\n67635 100000\n63894 95875\n51395 77153\n75517 100000\n97371 100000\n77432 100000\n21117 31766\n92756 100000\n66880 100000\n80444 100000\n97266 100000\n82948 100000\n28476 42782\n16298 24505\n20331 30591\n76529 100000\n30053 45153\n36031 54163\n36750 55259\n24437 36745\n1962 2965\n37841 56897\n61101 91723\n26592 39951\n93752 100000\n67277 100000\n66684 100000\n49043 73648\n64812 97241\n50550 75886\n73884 100000\n40804 61293\n70558 100000\n5651 8480\n74647 100000\n12713 19144\n31043 46671\n1599 2415\n28965 43531\n15532 23346\n29104 43736\n94433 100000\n94129 100000\n56484 84763\n42140 63282\n34321 51606\n12516 18854\n56674 85036\n36088 54256\n36006 54127\n3883 5826\n37111 55806\n7191 10836\n97131 100000\n3082 4650\n87313 100000\n96725 100000\n79883 100000\n66250 99390\n83481 100000\n59675 89583\n60350 90588\n44750 67171\n19755 29707\n25639 38543\n8250 12436\n41740 62695\n53305 80000\n36490 54877\n8434 12714\n54561 81892\n99723 100000\n79866 100000\n833 1264\n36805 55337\n28779 43246\n29141 43791\n79113 100000\n97058 100000\n39625 59549\n14028 21120\n90425 100000\n78144 100000\n79410 100000\n43536 65382\n92376 100000\n53166 79795\n36928 55531\n41889 62923\n21830 32838\n34379 51694\n36389 54729\n71184 100000\n86648 100000\n53814 80769\n81494 100000\n75725 100000\n99904 100000\n64020 96057\n41750 62709\n58461 87751\n62938 94468\n84447 100000\n59522 89353\n98255 100000\n97883 100000\n40835 61340\n95273 100000\n64240 96382\n98055 100000\n14287 21512\n4628 6945\n12959 19520\n51930 77952\n53051 79626\n48454 72778\n78582 100000\n14502 21843\n44026 66113\n3006 4535\n24032 36149\n78114 100000\n61046 91642\n75064 100000\n11884 17920\n99293 100000\n51836 77803\n88761 100000\n29607 44495\n85129 100000\n66655 99996\n15285 22988\n33884 50954\n88636 100000\n33126 49830\n74578 100000\n42226 63417\n27047 40643\n57399 86144\n90514 100000\n99204 100000\n10508 15832\n60096 90208\n64662 97016\n69955 100000\n99107 100000\n10705 16121\n48082 72204\n43755 65712\n66414 99637\n30237 45433\n14854 22367\n81229 100000\n9456 14249\n84247 100000\n47205 70861\n88315 100000\n45001 67563\n41790 62771\n51325 77050\n35300 53066\n11760 17736\n24811 37311\n883 1343\n66915 100000\n35387 53193\n86685 100000\n20207 30395\n67670 100000\n86636 100000\n5235 7865\n27337 41081\n40443 60748\n72236 100000\n51087 76686\n3595 5394\n87062 100000\n80713 100000\n25660 38574\n58649 88033\n54578 81914\n60281 90483\n37319 56120\n75119 100000\n14276 21494\n59329 89071\n49101 73736\n54440 81710\n46528 69860\n71662 100000\n27460 41274\n61471 92272\n12033 18146\n15092 22722\n4218 6328\n78213 100000\n63003 94569\n74880 100000\n64775 97184\n84529 100000\n81222 100000\n64259 96411\n35291 53052\n26516 39842\n64023 96061\n23079 34706\n93723 100000\n97535 100000\n24869 37398\n98628 100000\n56260 84441\n51883 77883\n96176 100000\n57615 86469\n1146 1734\n87608 100000\n9752 14685\n82933 100000\n51072 76663\n6217 9329\n16337 24563\n78265 100000\n55408 83161\n22453 33771\n96647 100000\n64809 97236\n50096 75215\n46041 69126\n27449 41258\n44790 67232\n7881 11875\n70461 100000\n14401 21689\n99833 100000\n33908 50989\n12541 18890\n90660 100000\n40312 60553\n3273 4932\n31983 48096\n38989 58623\n91642 100000\n96988 100000\n62574 93923\n66191 99296\n71547 100000\n27137 40781\n49067 73684\n56995 85535\n192 283\n20248 30463\n73593 100000\n99757 100000\n87261 100000\n44792 67235\n84475 100000\n77913 100000\n36820 55360\n98390 100000\n96303 100000\n2065 3112\n67886 100000\n56845 85313\n40508 60843\n46409 69684\n60602 90962\n78453 100000\n40011 60111\n54552 81879\n35447 53286\n99665 100000\n39654 59594\n29986 45057\n78985 100000\n46492 69810\n59285 89001\n9547 14381\n3090 4663\n71728 100000\n54938 82454\n66665 100000\n16626 25000\n69227 100000\n81774 100000\n76018 100000\n83380 100000\n12069 18199\n55489 83283\n67449 100000\n89810 100000\n79684 100000\n75134 100000\n87995 100000\n39103 58787\n26021 39103\n65406 98107\n10194 15353\n67576 100000\n42245 63445\n83030 100000\n35207 52924\n69890 100000\n15170 22827\n60282 90485\n87722 100000\n32457 48822\n2519 3804\n81041 100000\n44773 67208\n18684 28113\n19254 28962\n94089 100000\n44486 66777\n42593 63982\n30566 45939\n52759 79196\n95606 100000\n19279 28999\n67773 100000\n27986 42058\n55895 83894\n5172 7768\n94295 100000\n42902 64434\n6632 9968\n35474 53325\n51409 77175\n46296 69516\n43062 64665\n5431 8159\n98606 100000\n19819 29806\n9582 14431\n26075 39183\n38210 57444\n46924 70455\n92914 100000\n33417 50257\n95814 100000\n58861 88360\n86075 100000\n39912 59961\n99121 100000\n30567 45941\n48869 73392\n7185 10828\n33187 49921\n21950 33021\n86250 100000\n81967 100000\n50065 75173\n14279 21498\n41703 62641\n4272 6410\n65589 98380\n91879 100000\n88978 100000\n54056 81130\n64233 96372\n63360 95092\n42982 64555\n65888 98832\n10411 15690\n65289 97936\n68888 100000\n89499 100000\n30666 46091\n6941 10442\n90168 100000\n76434 100000\n79200 100000\n69127 100000\n18203 27394\n31335 47120\n47630 71502\n99215 100000\n51603 77456\n84482 100000\n68963 100000\n59243 88936\n85643 100000\n38128 57319\n14325 21575\n37851 56914\n95320 100000\n98849 100000\n68721 100000\n88 131\n34476 51831\n97416 100000\n15908 23910\n91870 100000\n80857 100000\n76425 100000\n2781 4200\n11314 17038\n54569 81903\n6945 10449\n55531 83348\n48527 72891\n87078 100000\n39110 58797\n53930 80946\n80323 100000\n33641 50589\n72228 100000\n43096 64713\n53409 80159\n71127 100000\n93834 100000\n87025 100000\n46315 69541\n61529 92361\n90093 100000\n72828 100000\n2838 4285\n57280 85966\n93166 100000\n91825 100000\n78892 100000\n78469 100000\n81911 100000\n28880 43400\n99850 100000\n27165 40821\n13639 20530\n94097 100000\n31969 48074\n83513 100000\n46795 70257\n50557 75897\n47110 70719\n2695 4070\n92684 100000\n19466 29278\n2690 4063\n20033 30136\n18824 28327\n73887 100000\n20910 31469\n52580 78932\n27733 41681\n80933 100000\n78708 100000\n71046 100000\n26101 39225\n5656 8486\n3153 4756\n92227 100000\n76378 100000\n66033 99055\n37790 56821\n59492 89313\n33595 50518\n68886 100000\n41680 62605\n41834 62837\n98657 100000\n49162 73827\n27428 41227\n2344 3544\n19868 29882\n57283 85971\n25282 38015\n20973 31561\n43621 65514\n66827 100000\n84163 100000\n32886 49474\n39212 58933\n78864 100000\n7562 11398\n23069 34689\n67603 100000\n24590 36981\n12583 18953\n18314 27557\n13911 20947\n95412 100000\n86438 100000\n4105 6163\n83225 100000\n56553 84865\n9204 13860\n96422 100000\n81514 100000\n67490 100000\n84982 100000\n24655 37081\n220 327\n46777 70229\n28481 42791\n5563 8348\n84550 100000\n5311 7986\n69474 100000\n42622 64025\n98778 100000\n95187 100000\n1307 1970\n62166 93308\n68005 100000\n81180 100000\n46362 69614\n41076 61694\n17229 25907\n17704 26631\n74605 100000\n62665 94060\n74874 100000\n61022 91607\n45694 68602\n70365 100000\n65805 98708\n53670 80544\n44287 66495\n34963 52566\n81530 100000\n84741 100000\n59463 89273\n66866 100000\n33124 49828\n89904 100000\n48756 73228\n71571 100000\n46679 70080\n53518 80318\n8623 12997\n69168 100000\n63256 94944\n9898 14899\n95182 100000\n19357 29114\n29913 44950\n38365 57682\n73597 100000\n83255 100000\n63677 95560\n54753 82179\n60885 91399\n93076 100000\n62790 94249\n88295 100000\n74900 100000\n37743 56755\n61653 92544\n1042 1579\n9381 14138\n13023 19617\n80776 100000\n57142 85762\n48104 72239\n44526 66834\n47422 71190\n98171 100000\n964 1460\n18194 27379\n58154 87285\n37801 56839\n91558 100000\n34828 52371\n24782 37269\n98704 100000\n42921 64463\n81137 100000\n14185 21354\n63923 95917\n33048 49715\n84724 100000\n55352 83078\n95695 100000\n20685 31126\n44531 66843\n23463 35283\n116 171\n8267 12459\n78801 100000\n52493 78805\n91000 100000\n52995 79548\n84843 100000\n84322 100000\n39179 58888\n3889 5835\n94489 100000\n17407 26184\n24462 36784\n52523 78852\n15365 23106\n27377 41142\n92009 100000\n34553 51939\n33154 49875\n24060 36189\n86401 100000\n12448 18760\n39536 59417\n86184 100000\n41954 63019\n83790 100000\n10935 16467\n37770 56795\n70504 100000\n31417 47241\n43606 65490\n90133 100000\n58585 87941\n95988 100000\n73484 100000\n35087 52748\n20153 30316\n13716 20644\n81010 100000\n94385 100000\n62073 93166\n78238 100000\n11168 16818\n95260 100000\n26950 40493\n97340 100000\n23135 34792\n82317 100000\n90952 100000\n28150 42293\n50563 75906\n91608 100000\n72941 100000\n57432 86190\n7954 11986\n57994 87046\n12640 19035\n83473 100000\n75569 100000\n88153 100000\n83673 100000\n48413 72714\n50419 75694\n37998 57128\n17468 26269\n41576 62450\n64505 96774\n37688 56670\n89934 100000\n419 630\n67692 100000\n59768 89726\n33856 50911\n76114 100000\n70346 100000\n92354 100000\n55779 83724\n21553 32407\n21734 32694\n68248 100000\n66373 99575\n44452 66730\n82725 100000\n10156 15294\n88734 100000\n21208 31905\n13240 19933\n94516 100000\n96772 100000\n67034 100000\n54049 81120\n71741 100000\n70231 100000\n16649 25033\n64329 96513\n48229 72433\n54419 81679\n72786 100000\n18981 28563\n13188 19861\n2884 4356\n2854 4312\n34501 51867\n83670 100000\n78167 100000\n58253 87434\n65869 98805\n50217 75401\n56425 84680\n28548 42899\n46858 70361\n23969 36060\n64393 96607\n58438 87716\n29681 44605\n60879 91390\n5344 8033\n39657 59597\n87491 100000\n38087 57253\n68352 100000\n5296 7965\n50551 75888\n26606 39970\n11868 17896\n61283 91993\n42703 64144\n31714 47693\n97739 100000\n79679 100000\n22381 33660\n22670 34098\n6565 9865\n77362 100000\n78404 100000\n5516 8283\n72901 100000\n55171 82810\n28193 42355\n32758 49277\n94163 100000\n16284 24487\n83177 100000\n33449 50300\n868 1317\n11442 17235\n79528 100000\n87288 100000\n6669 10027\n45167 67807\n29499 44330\n86377 100000\n87023 100000\n96869 100000\n18517 27862\n33800 50826\n28371 42630\n22135 33298\n9960 14994\n73116 100000\n24075 36209\n17777 26746\n18038 27146\n14781 22256\n35620 53541\n79936 100000\n91347 100000\n32828 49385\n1822 2764\n6155 9240\n61018 91601\n10963 16509\n22442 33753\n247 368\n54556 81885\n99139 100000\n73432 100000\n64819 97250\n65259 97896\n96095 100000\n57873 86858\n10826 16300\n35648 53583\n70062 100000\n53942 80961\n72164 100000\n62925 94453\n47418 71185\n96835 100000\n17003 25563\n90907 100000\n5400 8115\n67606 100000\n46994 70554\n9457 14250\n57441 86204\n43144 64784\n66195 99304\n37632 56585\n16132 24256\n78212 100000\n67123 100000\n27407 41192\n94897 100000\n43970 66032\n72551 100000\n97558 100000\n82990 100000\n9059 13645\n69636 100000\n86705 100000\n98401 100000\n58931 88464\n70082 100000\n33013 49665\n63853 95820\n43988 66058\n23045 34652\n2618 3956\n55663 83545\n11660 17579\n92501 100000\n341 511\n68583 100000\n53683 80563\n56728 85126\n2016 3044\n67496 100000\n10980 16531\n77618 100000\n18546 27901\n30941 46511\n14997 22576\n78549 100000\n16106 24214\n45756 68693\n19580 29448\n17492 26307\n57731 86649\n48148 72310\n29493 44321\n56384 84622\n27816 41807\n79667 100000\n545 829\n56095 84197\n79354 100000\n69117 100000\n48866 73387\n96501 100000\n7350 11073\n57671 86554\n65343 98015\n94620 100000\n14347 21608\n75606 100000\n44023 66108\n53360 80082\n31199 46910\n74991 100000\n56702 85079\n20898 31450\n31069 46709\n45181 67828\n52672 79070\n59293 89016\n60025 90105\n10493 15808\n5611 8424\n45494 68308\n36225 54473\n45059 67648\n1310 1973\n34010 51149\n54621 81980\n62746 94184\n999 1512\n16051 24132\n28815 43304\n63315 95024\n98750 100000\n95322 100000\n88933 100000\n39002 58644\n96881 100000\n46553 69900\n19504 29332\n82837 100000\n94732 100000\n83079 100000\n83618 100000\n72499 100000\n94263 100000\n47434 71208\n55143 82768\n96972 100000\n4411 6620\n30986 46582\n611 933\n97533 100000\n30111 45242\n38783 58312\n48271 72496\n66221 99347\n75968 100000\n235 348\n42376 63645\n45885 68891\n20989 31584\n42463 63777\n11002 16564\n90410 100000\n46791 70251\n36566 54988\n39089 58768\n94678 100000\n33790 50811\n6554 9850\n52971 79512\n50665 76057\n87151 100000\n22177 33361\n60137 90271\n90833 100000\n34413 51739\n71448 100000\n42708 64150\n64690 97056\n87375 100000\n85100 100000\n98296 100000\n58963 88512\n12855 19363\n87496 100000\n58146 87274\n97356 100000\n53910 80917\n47037 70620\n40840 61345\n8329 12553\n36852 55413\n63657 95534\n87391 100000\n72153 100000\n63132 94762\n41664 62584\n94250 100000\n18598 27979\n43371 65136\n7171 10805\n9840 14810\n61984 93032\n32422 48765\n70017 100000\n11675 17602\n62623 93996\n97654 100000\n82191 100000\n58223 87384\n76810 100000\n31608 47537\n58312 87531\n87301 100000\n70402 100000\n40730 61185\n22829 34333\n19647 29540\n10883 16389\n63510 95309\n99608 100000\n58008 87067\n82823 100000\n22389 33673\n71914 100000\n50569 75917\n89287 100000\n64558 96860\n96142 100000\n16947 25484\n16836 25308\n65970 98957\n66967 100000\n29359 44122\n67885 100000\n25961 39019\n17955 27015\n38031 57175\n79740 100000\n88719 100000\n15127 22767\n93773 100000\n49008 73593\n49823 74811\n66937 100000\n5247 7882\n63498 95290\n98351 100000\n98006 100000\n46870 70380\n64695 97065\n15512 23320\n70611 100000\n48210 72402\n1309 1972\n2289 3458\n58827 88313\n36682 55161\n91728 100000\n90181 100000\n52902 79405\n82955 100000\n5103 7655\n69637 100000\n86174 100000\n83286 100000\n30362 45622\n53626 80480\n96521 100000\n4243 6364\n11794 17786\n22151 33324\n75698 100000\n85607 100000\n14049 21149\n78051 100000\n86036 100000\n75022 100000\n38107 57285\n9175 13815\n59089 88701\n68032 100000\n14214 21401\n6707 10086\n47112 70723\n89109 100000\n51445 77225\n99636 100000\n66253 99393\n34115 51306\n42850 64358\n89176 100000\n20801 31302\n45901 68916\n46736 70163\n65167 97759\n7746 11681\n65036 97556\n51772 77708\n89216 100000\n51732 77648\n18144 27307\n63128 94756\n1865 2829\n39072 58743\n95029 100000\n58274 87467\n45624 68498\n30162 45321\n17748 26700\n13581 20444\n75852 100000\n38308 57597\n19485 29308\n97173 100000\n45119 67734\n29096 43725\n97372 100000\n97177 100000\n61983 93030\n13316 20053\n7984 12030\n23605 35503\n61834 92811\n36987 55621\n30124 45262\n3449 5181\n79064 100000\n42759 64226\n42440 63740\n95255 100000\n21916 32970\n97563 100000\n76388 100000\n70008 100000\n60473 90771\n13955 21017\n49858 74867\n24604 37003\n11084 16686\n79863 100000\n24027 36141\n71827 100000\n95435 100000\n70673 100000\n48934 73484\n94249 100000\n36235 54490\n62629 94005\n9929 14946\n44668 67050\n96208 100000\n65972 98960\n10476 15785\n94156 100000\n32217 48461\n53371 80101\n55595 83444\n48078 72200\n93146 100000\n16052 24133\n8686 13088\n90038 100000\n57335 86049\n85420 100000\n12455 18770\n9540 14371\n49975 75041\n3762 5643\n11595 17476\n15683 23570\n75983 100000\n47968 72027\n23835 35863\n98370 100000\n10601 15964\n30795 46283\n58499 87807\n84021 100000\n53263 79937\n22204 33402\n9265 13958\n61082 91697\n98097 100000\n56229 84397\n41066 61678\n45476 68282\n36886 55468\n72437 100000\n51037 76606\n54166 81302\n6413 9643\n26657 40047\n53386 80125\n76377 100000\n44606 66958\n48232 72437\n96757 100000\n46820 70296\n9396 14160\n46214 69387\n3214 4851\n37707 56697\n8496 12805\n17187 25842\n82772 100000\n9133 13753\n49075 73697\n92070 100000\n76856 100000\n27745 41700\n31802 47823\n70371 100000\n73986 100000\n62782 94239\n29337 44089\n70425 100000\n22007 33101\n86018 100000\n45770 68713\n74434 100000\n516 781\n34512 51882\n48291 72529\n54014 81067\n38409 57750\n14234 21429\n34243 51496\n86520 100000\n39021 58669\n42581 63959\n68178 100000\n56265 84449\n93660 100000\n81961 100000\n77034 100000\n62734 94164\n29274 43994\n58567 87914\n17851 26856\n73096 100000\n82631 100000\n28502 42825\n46455 69755\n29860 44871\n76030 100000\n36155 54356\n57091 85686\n46822 70300\n30043 45138\n72768 100000\n17660 26566\n46427 69709\n52707 79123\n70107 100000\n81114 100000\n69932 100000\n94553 100000\n83352 100000\n50004 75086\n70005 100000\n55817 83784\n62735 94165\n95244 100000\n92378 100000\n31734 47725\n57674 86559\n6738 10134\n72824 100000\n78835 100000\n3396 5111\n43637 65534\n19068 28695\n65475 98214\n50130 75263\n20573 30957\n37963 57074\n7480 11273\n33815 50849\n93282 100000\n62025 93099\n42379 63649\n73849 100000\n72815 100000\n13075 19693\n74312 100000\n96445 100000\n93130 100000\n43906 65935\n2897 4377\n55963 84000\n88925 100000\n16825 25294\n23836 35865\n98379 100000\n42498 63830\n21510 32346\n20866 31401\n16176 24322\n53805 80757\n17624 26512\n97419 100000\n63312 95018\n46439 69730\n37967 57079\n55728 83648\n83624 100000\n14735 22188\n62278 93478\n32805 49352\n47165 70801\n22948 34508\n44516 66819\n65873 98810\n47168 70806\n9975 15016\n55694 83598\n8642 13023\n53761 80683\n97570 100000\n14197 21373\n55456 83237\n84456 100000\n13678 20588\n61742 92673\n99223 100000\n44646 67016\n46531 69865\n45526 68351\n60514 90831\n88899 100000\n50288 75502\n74297 100000\n59602 89468\n39393 59213\n51102 76709\n77436 100000\n12109 18258\n61361 92104\n73880 100000\n45158 67792\n62851 94343\n79546 100000\n98643 100000\n14726 22171\n36462 54836\n65124 97692\n84178 100000\n25895 38926\n98482 100000\n29348 44105\n63826 95778\n86319 100000\n21034 31645\n17588 26455\n77841 100000\n61631 92505\n10472 15778\n4076 6122\n9958 14990\n80290 100000\n61482 92289\n534 811\n60327 90555\n22641 34054\n72318 100000\n77194 100000\n12982 19556\n81913 100000\n98454 100000\n43550 65402\n78484 100000\n3325 5007\n22504 33848\n67533 100000\n19260 28971\n34012 51152\n27278 40993\n47602 71458\n9979 15022\n49026 73620\n37353 56169\n37706 56696\n94556 100000\n51839 77808\n58795 88262\n68410 100000\n94303 100000\n7862 11845\n74412 100000\n87382 100000\n32305 48595\n48942 73496\n7625 11494\n24723 37182\n40952 61513\n14384 21664\n58529 87852\n17988 27068\n31849 47896\n52067 78163\n61618 92487\n4497 6747\n74265 100000\n34974 52581\n38102 57275\n45131 67754\n39962 60035\n74358 100000\n94432 100000\n63852 95819\n71113 100000\n91627 100000\n84879 100000\n8227 12400\n85772 100000\n74548 100000\n83933 100000\n25341 38099\n40561 60927\n74807 100000\n37032 55689\n3746 5619\n69842 100000\n30525 45876\n59806 89779\n11031 16610\n58736 88169\n4636 6958\n27454 41266\n10864 16357\n95430 100000\n93797 100000\n97572 100000\n77495 100000\n98761 100000\n98772 100000\n2578 3892\n44030 66119\n11291 17003\n73822 100000\n82170 100000\n80919 100000\n90312 100000\n42749 64212\n65598 98396\n26650 40035\n26936 40473\n95341 100000\n49445 74247\n8271 12465\n62088 93188\n45783 68734\n49459 74269\n18958 28528\n8328 12551\n39482 59337\n31124 46795\n79369 100000\n16855 25338\n63150 94786\n35931 54010\n2646 3998\n52355 78598\n57958 86986\n31090 46739\n62125 93246\n94281 100000\n48766 73242\n40176 60362\n96075 100000\n81361 100000\n24100 36248\n96306 100000\n63045 94629\n16083 24179\n76493 100000\n49130 73781\n13567 20422\n44373 66618\n79568 100000\n83824 100000\n90468 100000\n30914 46468\n97665 100000\n79074 100000\n58143 87268\n31621 47556\n29693 44623\n46299 69521\n26641 40023\n19447 29249\n84130 100000\n13636 20526\n14334 21589\n86941 100000\n26979 40534\n29397 44178\n74924 100000\n79486 100000\n62769 94219\n37696 56681\n82997 100000\n49027 73622\n1735 2629\n57001 85544\n63854 95821\n69903 100000\n2915 4400\n18259 27477\n76208 100000\n6887 10360\n17362 26117\n71378 100000\n50044 75143\n83515 100000\n80108 100000\n37334 56143\n57850 86824\n66175 99274\n72200 100000\n83191 100000\n95954 100000\n43199 64864\n24273 36505\n68815 100000\n33963 51074\n78982 100000\n22062 33186\n83485 100000\n54040 81106\n56639 84986\n22771 34246\n9931 14948\n7508 11316\n48317 72571\n92959 100000\n58189 87335\n5403 8119\n49362 74127\n67425 100000\n90635 100000\n71440 100000\n32284 48566\n40729 61183\n6834 10284\n93812 100000\n60984 91555\n70356 100000\n92276 100000\n38483 57865\n15347 23080\n29187 43862\n62001 93056\n68165 100000\n18301 27539\n63952 95960\n2240 3383\n71792 100000\n70900 100000\n20021 30120\n77093 100000\n46710 70123\n13981 21054\n61949 92985\n10127 15252\n84794 100000\n37987 57110\n75886 100000\n40579 60957\n7239 10906\n76589 100000\n51884 77885\n73704 100000\n26227 39415\n89010 100000\n27570 41434\n11875 17908\n18121 27273\n25335 38090\n56090 84189\n50042 75141\n53840 80809\n57855 86831\n96816 100000\n33354 50161\n30372 45636\n9529 14356\n44144 66294\n11638 17545\n44818 67276\n82865 100000\n18781 28262\n26401 39676\n30436 45736\n62706 94122\n45355 68097\n59464 89275\n74385 100000\n2371 3584\n22028 33132\n52849 79326\n6932 10429\n71444 100000\n36074 54233\n73489 100000\n46727 70148\n83369 100000\n71894 100000\n28352 42599\n23024 34621\n55576 83418\n32298 48584\n67559 100000\n80743 100000\n82112 100000\n94759 100000\n30392 45668\n58817 88296\n28024 42112\n59357 89114\n120 178\n65787 98678\n55216 82874\n23555 35424\n66822 100000\n90997 100000\n96681 100000\n15672 23555\n9520 14342\n93811 100000\n37658 56626\n45527 68352\n2764 4174\n82719 100000\n36749 55258\n59922 89951\n77166 100000\n31477 47336\n42087 63209\n25606 38489\n30046 45142\n54219 81378\n20517 30876\n71389 100000\n7465 11248\n60570 90913\n16213 24380\n64253 96402\n85252 100000\n67581 100000\n96586 100000\n93869 100000\n42668 64092\n10494 15809\n76880 100000\n9494 14304\n49666 74581\n17714 26648\n9847 14819\n44610 66962\n26928 40463\n17361 26116\n10827 16302\n42934 64481\n80285 100000\n14522 21871\n95973 100000\n73157 100000\n77360 100000\n65183 97782\n19572 29435\n58460 87750\n84799 100000\n13561 20413\n73281 100000\n14547 21908\n32113 48292\n24668 37102\n70535 100000\n70873 100000\n3687 5529\n88640 100000\n72978 100000\n42088 63210\n99144 100000\n57178 85817\n21542 32392\n92192 100000\n86998 100000\n78200 100000\n95713 100000\n76815 100000\n6531 9821\n38058 57209\n54522 81832\n50172 75327\n39057 58719\n90648 100000\n531 806\n28036 42126\n27760 41722\n81288 100000\n14269 21481\n37452 56319\n76532 100000\n12228 18422\n26290 39509\n14514 21861\n74256 100000\n25842 38843\n6364 9563\n68387 100000\n88148 100000\n59755 89710\n11518 17355\n29215 43909\n59809 89785\n56276 84469\n75766 100000\n84283 100000\n18998 28587\n52584 78940\n63730 95634\n63466 95245\n39031 58683\n9749 14681\n53603 80444\n29135 43782\n78037 100000\n63545 95365\n44482 66771\n92795 100000\n48737 73206\n34655 52098\n48894 73424\n66059 99099\n25679 38601\n99126 100000\n98784 100000\n99155 100000\n48984 73557\n75732 100000\n55523 83335\n42617 64019\n64151 96252\n19036 28646\n28943 43494\n22800 34287\n73911 100000\n18803 28295\n28399 42673\n88314 100000\n42662 64082\n60236 90413\n9824 14786\n22739 34197\n57964 86995\n78210 100000\n73002 100000\n86525 100000\n37718 56716\n47951 72001\n37927 57023\n72917 100000\n17075 25679\n28593 42969\n99250 100000\n98635 100000\n82383 100000\n58377 87627\n4268 6402\n35001 52620\n71244 100000\n35544 53429\n44413 66672\n47599 71453\n67431 100000\n83592 100000\n13473 20286\n40306 60544\n38370 57690\n82439 100000\n37480 56361\n55534 83353\n40186 60376\n50262 75465\n64563 96866\n63474 95256\n84294 100000\n87678 100000\n26389 39657\n44387 66636\n59084 88696\n65677 98515\n26582 39935\n62698 94110\n44230 66412\n73298 100000\n37939 57041\n5623 8441\n51867 77854\n60346 90583\n87342 100000\n4892 7342\n46225 69402\n98386 100000\n27969 42033\n27131 40772\n54051 81122\n4409 6617\n15237 22922\n2268 3428\n5556 8338\n93113 100000\n32677 49157\n27513 41350\n80024 100000\n29839 44835\n31632 47573\n71030 100000\n58772 88225\n51201 76855\n40750 61214\n68552 100000\n28647 43052\n85460 100000\n27332 41074\n55130 82747\n46536 69872\n85385 100000\n53723 80624\n27184 40848\n38660 58124\n55924 83938\n83713 100000\n38376 57698\n89937 100000\n82401 100000\n58358 87599\n27956 42015\n12006 18102\n99438 100000\n21024 31632\n32724 49225\n75115 100000\n47695 71604\n20115 30263\n64714 97093\n8869 13355\n3726 5589\n79218 100000\n17238 25919\n49516 74358\n6060 9094\n29956 45014\n20206 30394\n86485 100000\n12912 19453\n91824 100000\n17945 27002\n18356 27622\n93807 100000\n47232 70905\n5949 8932\n87776 100000\n21165 31840\n32224 48471\n12509 18843\n61617 92485\n67412 100000\n98852 100000\n4557 6834\n69931 100000\n3385 5096\n82893 100000\n75593 100000\n41851 62866\n73728 100000\n50591 75948\n14367 21639\n68122 100000\n16129 24253\n54760 82189\n11849 17868\n5082 7628\n4085 6134\n1792 2719\n4192 6292\n1982 2992\n88490 100000\n68641 100000\n89051 100000\n41463 62279\n512 775\n47950 71999\n88487 100000\n85088 100000\n81941 100000\n16008 24064\n39517 59389\n44065 66174\n8376 12629\n68259 100000\n53102 79700\n22243 33459\n3653 5478\n33320 50112\n30389 45664\n96682 100000\n82165 100000\n616 940\n33238 49993\n20967 31551\n16183 24333\n11947 18017\n31483 47344\n42325 63569\n43083 64695\n34450 51795\n85007 100000\n28757 43210\n39509 59378\n34023 51171\n24140 36309\n53612 80459\n36233 54486\n47157 70791\n48051 72158\n74957 100000\n43098 64717\n82743 100000\n40082 60218\n41884 62915\n66633 99965\n20886 31432\n61428 92205\n17461 26261\n95921 100000\n8108 12217\n18950 28515\n96028 100000\n23499 35339\n78275 100000\n48427 72735\n56620 84959\n3570 5355\n3549 5324\n22567 33941\n92151 100000\n31674 47636\n89145 100000\n55787 83738\n19204 28887\n61519 92344\n20074 30199\n10442 15741\n88232 100000\n73421 100000\n58787 88251\n25521 38364\n4123 6187\n92775 100000\n4534 6802\n53019 79579\n76021 100000\n99690 100000\n65159 97746\n56972 85501\n68435 100000\n41869 62892\n16606 24967\n77275 100000\n96311 100000\n61057 91660\n91297 100000\n45418 68193\n5174 7771\n15856 23830\n19584 29454\n2137 3220\n37310 56106\n73790 100000\n53300 79993\n99653 100000\n31795 47813\n87124 100000\n50939 76463\n5905 8865\n3369 5073\n69575 100000\n41887 62921\n80925 100000\n60889 91406\n9604 14466\n76165 100000\n88756 100000\n53056 79634\n60147 90285\n2531 3822\n32392 48723\n61674 92574\n93108 100000\n51845 77819\n46348 69592\n88128 100000\n57902 86904\n34493 51856\n60498 90809\n16346 24575\n63675 95558\n15986 24026\n30052 45152\n26894 40415\n68172 100000\n69015 100000\n62486 93782\n1111 1682\n71761 100000\n80566 100000\n96644 100000\n87951 100000\n62820 94298\n26076 39185\n88002 100000\n62748 94187\n76536 100000\n32900 49492\n98623 100000\n73532 100000\n28387 42654\n52177 78327\n15678 23561\n85077 100000\n50782 76229\n84854 100000\n63465 95243\n88296 100000\n51574 77412\n86144 100000\n58987 88548\n31787 47800\n93780 100000\n96788 100000\n70649 100000\n63703 95598\n66458 99704\n3176 4792\n26410 39689\n17377 26139\n85906 100000\n13313 20049\n94892 100000\n42635 64044\n6944 10447\n45466 68265\n46871 70382\n96636 100000\n89196 100000\n69344 100000\n52048 78134\n70919 100000\n62652 94039\n16074 24164\n16796 25255\n54680 82067\n71461 100000\n55509 83316\n69209 100000\n81664 100000\n70019 100000\n47497 71304\n34823 52362\n11175 16828\n9701 14612\n82973 100000\n89411 100000\n12365 18633\n46109 69225\n40902 61441\n96661 100000\n27036 40626\n71528 100000\n64126 96216\n37532 56439\n6492 9762\n52950 79480\n49440 74240\n36661 55133\n15187 22846\n637 968\n17149 25784\n69757 100000\n38046 57195\n24156 36336\n71848 100000\n15524 23335\n33855 50910\n78891 100000\n36133 54323\n15888 23881\n65242 97871\n45915 68934\n50216 75400\n75484 100000\n10673 16070\n54534 81850\n45103 67711\n7877 11868\n64067 96127\n68715 100000\n688 1047\n66972 100000\n14393 21677\n9387 14147\n24477 36808\n84445 100000\n58261 87448\n46840 70330\n64450 96693\n98424 100000\n82435 100000\n24284 36523\n76006 100000\n19234 28931\n50192 75360\n51389 77145\n76786 100000\n33769 50782\n95910 100000\n76863 100000\n83506 100000\n98291 100000\n79001 100000\n4953 7432\n79733 100000\n84851 100000\n41493 62329\n80542 100000\n72137 100000\n47792 71750\n79769 100000\n67573 100000\n48639 73052\n79923 100000\n36627 55076\n35093 52758\n42238 63435\n84856 100000\n66851 100000\n23377 35159\n39440 59279\n17241 25923\n31651 47600\n73262 100000\n96087 100000\n84117 100000\n11841 17856\n12606 18985\n51621 77480\n72761 100000\n63888 95864\n83883 100000\n82318 100000\n66985 100000\n93906 100000\n9023 13591\n95936 100000\n49467 74281\n80310 100000\n38188 57408\n99186 100000\n45310 68028\n82782 100000\n59305 89034\n58664 88055\n37172 55896\n40289 60522\n92262 100000\n7833 11802\n3870 5809\n34952 52550\n62961 94500\n15571 23406\n61859 92849\n81187 100000\n91421 100000\n39469 59322\n60792 91254\n19590 29460\n49915 74954\n61706 92622\n30306 45536\n58904 88425\n3816 5728\n39664 59607\n19668 29573\n",
        "output": "30\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc103/tasks/abc103_d"
    },
    {
        "id": 112,
        "task_id": 559,
        "test_case_id": 1,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2\n1 0\n",
        "output": "1 1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 113,
        "task_id": 559,
        "test_case_id": 2,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "3\n0 0 0\n",
        "output": "0 0 0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 114,
        "task_id": 559,
        "test_case_id": 3,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "5\n0 1 0 1 0\n",
        "output": "0 2 0 1 3\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 115,
        "task_id": 559,
        "test_case_id": 4,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2\n0 0\n",
        "output": "0 0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 116,
        "task_id": 559,
        "test_case_id": 5,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2\n0 1\n",
        "output": "0 1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 117,
        "task_id": 559,
        "test_case_id": 6,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2\n1 1\n",
        "output": "1 0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 118,
        "task_id": 559,
        "test_case_id": 7,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
        "output": "0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 119,
        "task_id": 559,
        "test_case_id": 8,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 120,
        "task_id": 559,
        "test_case_id": 9,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 121,
        "task_id": 559,
        "test_case_id": 10,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0\n",
        "output": "1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 122,
        "task_id": 559,
        "test_case_id": 11,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
        "output": "1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2998\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 123,
        "task_id": 559,
        "test_case_id": 12,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1\n",
        "output": "0 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998 1 2998\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 124,
        "task_id": 559,
        "test_case_id": 13,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0\n",
        "output": "0 1019 0 2989 0 340 0 2189 0 846 0 468 0 2673 0 644 0 1152 0 1089 0 400 0 2875 0 944 0 2920 0 289 0 2687 0 2375 0 513 0 1749 0 2354 0 979 0 839 0 65 0 2225 0 113 0 2382 0 1303 0 2944 0 353 0 123 0 861 0 2179 0 1585 0 684 0 2968 0 2977 0 2357 0 875 0 1564 0 1029 0 1761 0 1460 0 1429 0 1368 0 387 0 738 0 1547 0 1808 0 1418 0 73 0 2377 0 1773 0 1052 0 22 0 1238 0 1436 0 1758 0 1617 0 874 0 457 0 1449 0 2403 0 1302 0 458 0 2340 0 2380 0 2879 0 1031 0 2351 0 381 0 2978 0 700 0 2823 0 1989 0 2265 0 635 0 2071 0 2297 0 22 0 2791 0 1651 0 709 0 2953 0 2761 0 2841 0 2793 0 262 0 2547 0 1644 0 10 0 2075 0 898 0 2831 0 2417 0 1644 0 2878 0 641 0 1676 0 1540 0 940 0 2262 0 2912 0 812 0 2282 0 557 0 1523 0 1029 0 2805 0 1468 0 565 0 1212 0 32 0 961 0 1371 0 2716 0 2634 0 492 0 963 0 2232 0 851 0 321 0 2226 0 1477 0 2441 0 40 0 2531 0 2859 0 1320 0 1014 0 125 0 758 0 645 0 2091 0 2360 0 1579 0 2836 0 1744 0 1410 0 2659 0 743 0 2837 0 2544 0 775 0 2654 0 777 0 1713 0 1607 0 2297 0 1107 0 2658 0 803 0 2367 0 2678 0 203 0 2510 0 1353 0 2785 0 1712 0 2185 0 83 0 67 0 1242 0 586 0 2573 0 2243 0 1976 0 1877 0 1591 0 2920 0 1782 0 84 0 26 0 2009 0 46 0 1530 0 609 0 1060 0 1876 0 231 0 2479 0 2986 0 2077 0 2371 0 822 0 312 0 761 0 2301 0 1216 0 738 0 313 0 575 0 1948 0 1015 0 1757 0 2793 0 2126 0 344 0 250 0 693 0 2931 0 1861 0 1615 0 293 0 2924 0 1928 0 2161 0 1269 0 1660 0 2720 0 2573 0 2089 0 2814 0 1454 0 458 0 664 0 960 0 1191 0 364 0 2116 0 2434 0 751 0 587 0 2399 0 1925 0 2233 0 1042 0 2060 0 2989 0 1954 0 1252 0 1424 0 2293 0 1504 0 2184 0 1709 0 1709 0 498 0 2237 0 1894 0 746 0 1806 0 2804 0 1719 0 2519 0 1552 0 217 0 1199 0 1909 0 1198 0 1593 0 62 0 1206 0 25 0 2010 0 2054 0 1992 0 75 0 2390 0 364 0 2066 0 1906 0 697 0 1141 0 2276 0 407 0 960 0 1612 0 2599 0 1915 0 213 0 446 0 1595 0 405 0 1011 0 2970 0 1466 0 336 0 2883 0 1806 0 969 0 2760 0 1393 0 782 0 255 0 2921 0 1812 0 1965 0 2543 0 1543 0 2555 0 261 0 1775 0 304 0 2062 0 2321 0 1 0 434 0 2646 0 1457 0 30 0 2531 0 151 0 368 0 522 0 1873 0 205 0 2649 0 2726 0 1675 0 1299 0 182 0 236 0 2459 0 515 0 1818 0 569 0 2023 0 342 0 482 0 2575 0 1670 0 972 0 2157 0 1582 0 1016 0 789 0 2319 0 2551 0 2509 0 518 0 2576 0 2497 0 822 0 2620 0 2963 0 304 0 1127 0 1849 0 2236 0 1145 0 364 0 136 0 1186 0 1110 0 2421 0 691 0 1076 0 893 0 2168 0 1325 0 919 0 2576 0 2378 0 504 0 2509 0 2653 0 2625 0 2024 0 2590 0 2690 0 2434 0 2343 0 2420 0 1636 0 1671 0 1944 0 1099 0 1717 0 2312 0 2978 0 755 0 2063 0 2974 0 1406 0 380 0 1978 0 1503 0 2434 0 2522 0 326 0 2917 0 221 0 861 0 1262 0 1799 0 1326 0 205 0 681 0 2276 0 1976 0 110 0 350 0 1617 0 625 0 1242 0 2206 0 1392 0 2605 0 1051 0 2677 0 2019 0 954 0 2307 0 787 0 933 0 1827 0 2568 0 2652 0 2746 0 2876 0 2855 0 1579 0 206 0 424 0 980 0 363 0 81 0 2664 0 147 0 1494 0 1025 0 860 0 2933 0 166 0 240 0 2929 0 312 0 895 0 1942 0 2657 0 2330 0 1570 0 219 0 823 0 1545 0 904 0 2754 0 218 0 2397 0 2417 0 300 0 1213 0 2565 0 2749 0 2660 0 2853 0 2679 0 2282 0 438 0 271 0 1878 0 2483 0 1507 0 2764 0 1090 0 1384 0 332 0 1532 0 1046 0 1361 0 2821 0 244 0 1687 0 2777 0 2428 0 2463 0 2691 0 238 0 323 0 455 0 1921 0 514 0 1759 0 1234 0 2459 0 1473 0 750 0 1057 0 1396 0 1850 0 1717 0 1848 0 1744 0 1237 0 962 0 2360 0 2232 0 1660 0 1829 0 1240 0 1846 0 1777 0 651 0 754 0 2329 0 1860 0 127 0 2250 0 47 0 1319 0 1576 0 1585 0 1338 0 2428 0 1043 0 1373 0 1375 0 1359 0 2764 0 2921 0 1552 0 446 0 2192 0 76 0 2480 0 2938 0 5 0 2272 0 1486 0 1839 0 1697 0 999 0 2290 0 1565 0 486 0 2974 0 901 0 2921 0 535 0 1949 0 842 0 1164 0 619 0 1516 0 2051 0 1388 0 62 0 701 0 1487 0 748 0 944 0 2717 0 1274 0 1523 0 2713 0 1715 0 1642 0 999 0 196 0 2053 0 2217 0 2185 0 2720 0 1800 0 555 0 1791 0 583 0 350 0 1631 0 789 0 2324 0 833 0 1674 0 2172 0 1927 0 575 0 2691 0 1332 0 1833 0 1302 0 2593 0 1834 0 192 0 2251 0 657 0 2160 0 786 0 2057 0 1595 0 1775 0 320 0 2913 0 459 0 1018 0 1271 0 1000 0 373 0 2774 0 769 0 1969 0 1148 0 2929 0 1081 0 1762 0 1437 0 1347 0 1178 0 1254 0 445 0 580 0 1888 0 1831 0 2007 0 2739 0 1459 0 1430 0 2442 0 2605 0 1441 0 1292 0 2591 0 339 0 225 0 1854 0 349 0 1072 0 2487 0 447 0 2748 0 1136 0 2087 0 1329 0 2257 0 2478 0 1391 0 1849 0 2508 0 2912 0 1403 0 40 0 2892 0 545 0 1317 0 2575 0 175 0 2550 0 1251 0 1388 0 1992 0 1445 0 1946 0 1572 0 63 0 2179 0 2102 0 1520 0 1245 0 1001 0 2288 0 2695 0 696 0 22 0 1140 0 1735 0 169 0 1834 0 865 0 179 0 1956 0 2641 0 1215 0 2045 0 700 0 2941 0 2918 0 1859 0 2693 0 2217 0 1878 0 1365 0 2992 0 700 0 14 0 2545 0 1721 0 2625 0 358 0 185 0 216 0 1456 0 2923 0 156 0 826 0 1678 0 1028 0 2946 0 2346 0 2200 0 1752 0 2553 0 2067 0 744 0 652 0 1940 0 1893 0 2644 0 865 0 1796 0 2117 0 2707 0 308 0 621 0 642 0 2709 0 2392 0 26 0 861 0 2616 0 165 0 1322 0 862 0 2863 0 542 0 2782 0 2476 0 1380 0 562 0 2407 0 2833 0 2099 0 2808 0 1685 0 1320 0 90 0 2326 0 1253 0 2779 0 2368 0 284 0 1324 0 2318 0 534 0 32 0 2717 0 612 0 2900 0 2327 0 26 0 137 0 2019 0 937 0 2693 0 2087 0 1126 0 1536 0 2487 0 867 0 2731 0 2890 0 73 0 2950 0 585 0 1948 0 2532 0 683 0 253 0 2159 0 2728 0 2909 0 157 0 84 0 917 0 2744 0 901 0 94 0 2919 0 2305 0 261 0 237 0 2676 0 1949 0 18 0 1704 0 1206 0 2404 0 2887 0 2187 0 238 0 2061 0 1509 0 2241 0 2661 0 1866 0 1026 0 2923 0 1108 0 936 0 701 0 15 0 2906 0 1819 0 2667 0 2320 0 2320 0 1958 0 701 0 2631 0 706 0 2584 0 2701 0 1511 0 424 0 1780 0 2867 0 2494 0 1914 0 1564 0 1143 0 710 0 1063 0 54 0 2021 0 2672 0 2438 0 1222 0 2271 0 1315 0 168 0 123 0 570 0 449 0 2427 0 1330 0 2989 0 1343 0 1890 0 1315 0 390 0 345 0 1205 0 1681 0 1576 0 574 0 1581 0 2905 0 2140 0 508 0 2885 0 2972 0 2826 0 1239 0 2847 0 1266 0 962 0 158 0 1879 0 1475 0 1760 0 1455 0 1141 0 33 0 926 0 2848 0 1601 0 2774 0 2822 0 659 0 1789 0 362 0 384 0 2904 0 2791 0 1377 0 130 0 1610 0 1944 0 1374 0 1079 0 1671 0 2065 0 2113 0 554 0 2673 0 2219 0 2808 0 355 0 1863 0 988 0 1347 0 1147 0 2352 0 2118 0 2923 0 1561 0 1597 0 373 0 1681 0 419 0 2163 0 2108 0 2060 0 1512 0 94 0 91 0 2136 0 1503 0 809 0 71 0 1222 0 2019 0 1104 0 736 0 601 0 2693 0 2911 0 307 0 2115 0 2374 0 2057 0 2236 0 565 0 1761 0 2464 0 22 0 2931 0 895 0 2415 0 397 0 2933 0 678 0 420 0 71 0 2640 0 2361 0 811 0 2635 0 1267 0 2737 0 2577 0 523 0 2952 0 1320 0 679 0 1667 0 2833 0 2095 0 2007 0 393 0 2814 0 2604 0 1887 0 1130 0 809 0 1571 0 2285 0 2668 0 2518 0 955 0 1905 0 2163 0 2792 0 685 0 2450 0 662 0 2928 0 1228 0 2159 0 1704 0 2523 0 179 0 1556 0 336 0 518 0 1492 0 86 0 2467 0 767 0 2686 0 1366 0 1781 0 2854 0 2234 0 1093 0 365 0 1519 0 2152 0 1521 0 1303 0 1074 0 1097 0 2426 0 1792 0 210 0 2806 0 2174 0 1025 0 1201 0 1796 0 2070 0 1594 0 1425 0 2557 0 2369 0 2077 0 355 0 2170 0 1144 0 2772 0 1806 0 1267 0 2113 0 509 0 2678 0 752 0 1633 0 1589 0 780 0 2171 0 1641 0 427 0 585 0 2795 0 2797 0 869 0 894 0 2701 0 2368 0 2830 0 2313 0 509 0 2305 0 1743 0 988 0 757 0 644 0 2377 0 263 0 1836 0 2141 0 1214 0 1854 0 2627 0 1243 0 1338 0 1161 0 2449 0 1466 0 1197 0 1296 0 14 0 2510 0 2336 0 1900 0 329 0 1361 0 439 0 872 0 1965 0 1579 0 2517 0 2022 0 2667 0 2532 0 2402 0 1472 0 2525 0 381 0 2810 0 192 0 2511 0 1049 0 649 0 1144 0 171 0 2047 0 919 0 841 0 851 0 41 0 561 0 2027 0 2206 0 2166 0 2386 0 2972 0 341 0 2222 0 2820 0 2102 0 2325 0 114 0 2608 0 633 0 1288 0 116 0 2008 0 664 0 889 0 76 0 692 0 2235 0 92 0 573 0 1100 0 811 0 597 0 431 0 1778 0 1979 0 803 0 180 0 2729 0 1928 0 2763 0 1149 0 2309 0 2432 0 2484 0 2264 0 1388 0 2473 0 0 0 1237 0 1794 0 1747 0 611 0 2610 0 2050 0 2815 0 2422 0 583 0 1413 0 548 0 2743 0 2149 0 2112 0 773 0 2652 0 964 0 136 0 991 0 972 0 2726 0 1251 0 1616 0 454 0 2685 0 1301 0 294 0 2975 0 2020 0 2675 0 1468 0 2682 0 900 0 2706 0 2656 0 760 0 1919 0 830 0 1759 0 2218 0 85 0 2307 0 2865 0 1049 0 432 0 1896 0 1678 0 617 0 216 0 1263 0 1404 0 2032 0 1289 0 2283 0 2856 0 825 0 996 0 2995 0 2404 0 2949 0 2944 0 1807 0 1477 0 1021 0 1981 0 1670 0 1630 0 1115 0 877 0 1728 0 1376 0 2737 0 1632 0 779 0 564 0 1103 0 1058 0 1822 0 2426 0 2600 0 2442 0 2678 0 656 0 1537 0 19 0 2189 0 1771 0 189 0 168 0 2619 0 2552 0 1232 0 465 0 637 0 1087 0 1333 0 2533 0 2799 0 1491 0 2199 0 2760 0 1660 0 2479 0 1858 0 1919 0 2751 0 758 0 167 0 661 0 944 0 2753 0 2889 0 528 0 1199 0 2173 0 29 0 1360 0 672 0 2858 0 1169 0 712 0 965 0 1828 0 23 0 290 0 1170 0 1003 0 2690 0 2240 0 977 0 437 0 1551 0 1792 0 58 0 626 0 694 0 277 0 2766 0 765 0 2178 0 2612 0 2298 0 1554 0 2924 0 1850 0 1334 0 1100 0 141 0 1605 0 2156 0 101 0 1983 0 518 0 2913 0 2694 0 2507 0 132 0 1581 0 2897 0 1593 0 931 0 130 0 452 0 703 0 2362 0 2897 0 689 0 2065 0 553 0 1134 0 2025 0 1548 0 2645 0 855 0 1684 0 1396 0 2844 0 880 0 1614 0 1411 0 722 0 1480 0 1682 0 598 0 688 0 2537 0 2038 0 1252 0 1938 0 2733 0 2059 0 1226 0 255 0 462 0 694 0 2178 0 573 0 1225 0 1444 0 2969 0 2603 0 1328 0 310 0 1475 0 612 0 643 0 1341 0 1276 0 2782 0 1903 0 1462 0 1452 0 380 0 275 0 2944 0 1570 0 337 0 2071 0 2479 0 31 0 1918 0 1282 0 1980 0 1888 0 277 0 53 0 796 0 2022 0 1756 0 1298 0 2782 0 1124 0 1158 0 2740 0 1373 0 634 0 2807 0 1205 0 689 0 2476 0 269 0 1009 0 786 0 1178 0 2652 0 2934 0 836 0 2541 0 2078 0 2011 0 2071 0 2916 0 1184 0 2621 0 2291 0 822 0 1404 0 830 0 2025 0 2357 0 1553 0 1942 0 679 0 2481 0 1235 0 2652 0 2898 0 2586 0 2826 0 1360 0 2910 0 13 0 2475 0 2430 0 2622 0 91 0 825 0 2937 0 2145 0 1223 0 1775 0 1529 0 254 0 2813 0 181 0 2569 0 430 0 1100 0 428 0 620 0 2834 0 2413 0 2931 0 2672 0 1042 0 110 0 2650 0 2437 0 2123 0 2562 0 193 0 787 0 686 0 944 0 1778 0 1784 0 2509 0 2101 0 1486 0 211 0 869 0 2332 0 1945 0 1708 0 2672 0 2278 0 1115 0 2398 0 2167 0 510 0 1032 0 2912 0 2882 0 2118 0 510 0 1178 0 2080 0 975 0 1145 0 126 0 2361 0 1681 0 2074 0 2010 0 2445 0 1173 0 2629 0 2160 0 13 0 1534 0 74 0 698 0 1181 0 1793 0 572 0 2299 0 1319 0 918 0 877 0 2104 0 637 0 1811 0 2900 0 2092 0 2667 0 887 0 433 0 2463 0 319 0 1034 0 2472 0 2750 0 674 0 1928 0 750 0 1119 0 1063 0 1070 0 1227 0 2474 0 1467 0 1092 0 2168 0 497 0 992 0 1001 0 2478 0 2447 0 910 0 1402 0 884 0 1211 0 742 0 1688 0 2249 0 375 0 2249 1500\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 125,
        "task_id": 559,
        "test_case_id": 14,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1\n",
        "output": "1 1980 0 10 0 2659 0 810 0 2153 0 2531 0 326 0 2355 0 1847 0 1910 0 2599 0 124 0 2055 0 79 0 2710 0 312 0 624 0 2486 0 1250 0 645 0 2020 0 2160 0 2934 0 774 0 2886 0 617 0 1696 0 55 0 2646 0 2876 0 2138 0 820 0 1414 0 2315 0 31 0 22 0 642 0 2124 0 1435 0 1970 0 1238 0 1539 0 1570 0 1631 0 2612 0 2261 0 1452 0 1191 0 1581 0 2926 0 622 0 1226 0 1947 0 2977 0 1761 0 1563 0 1241 0 1382 0 2125 0 2542 0 1550 0 596 0 1697 0 2541 0 659 0 619 0 120 0 1968 0 648 0 2618 0 21 0 2299 0 176 0 1010 0 734 0 2364 0 928 0 702 0 2977 0 208 0 1348 0 2290 0 46 0 238 0 158 0 206 0 2737 0 452 0 1355 0 2989 0 924 0 2101 0 168 0 582 0 1355 0 121 0 2358 0 1323 0 1459 0 2059 0 737 0 87 0 2187 0 717 0 2442 0 1476 0 1970 0 194 0 1531 0 2434 0 1787 0 2967 0 2038 0 1628 0 283 0 365 0 2507 0 2036 0 767 0 2148 0 2678 0 773 0 1522 0 558 0 2959 0 468 0 140 0 1679 0 1985 0 2874 0 2241 0 2354 0 908 0 639 0 1420 0 163 0 1255 0 1589 0 340 0 2256 0 162 0 455 0 2224 0 345 0 2222 0 1286 0 1392 0 702 0 1892 0 341 0 2196 0 632 0 321 0 2796 0 489 0 1646 0 214 0 1287 0 814 0 2916 0 2932 0 1757 0 2413 0 426 0 756 0 1023 0 1122 0 1408 0 79 0 1217 0 2915 0 2973 0 990 0 2953 0 1469 0 2390 0 1939 0 1123 0 2768 0 520 0 13 0 922 0 628 0 2177 0 2687 0 2238 0 698 0 1783 0 2261 0 2686 0 2424 0 1051 0 1984 0 1242 0 206 0 873 0 2655 0 2749 0 2306 0 68 0 1138 0 1384 0 2706 0 75 0 1071 0 838 0 1730 0 1339 0 279 0 426 0 910 0 185 0 1545 0 2541 0 2335 0 2039 0 1808 0 2635 0 883 0 565 0 2248 0 2412 0 600 0 1074 0 766 0 1957 0 939 0 10 0 1045 0 1747 0 1575 0 706 0 1495 0 815 0 1290 0 1290 0 2501 0 762 0 1105 0 2253 0 1193 0 195 0 1280 0 480 0 1447 0 2782 0 1800 0 1090 0 1801 0 1406 0 2937 0 1793 0 2974 0 989 0 945 0 1007 0 2924 0 609 0 2635 0 933 0 1093 0 2302 0 1858 0 723 0 2592 0 2039 0 1387 0 400 0 1084 0 2786 0 2553 0 1404 0 2594 0 1988 0 29 0 1533 0 2663 0 116 0 1193 0 2030 0 239 0 1606 0 2217 0 2744 0 78 0 1187 0 1034 0 456 0 1456 0 444 0 2738 0 1224 0 2695 0 937 0 678 0 2998 0 2565 0 353 0 1542 0 2969 0 468 0 2848 0 2631 0 2477 0 1126 0 2794 0 350 0 273 0 1324 0 1700 0 2817 0 2763 0 540 0 2484 0 1181 0 2430 0 976 0 2657 0 2517 0 424 0 1329 0 2027 0 842 0 1417 0 1983 0 2210 0 680 0 448 0 490 0 2481 0 423 0 502 0 2177 0 379 0 36 0 2695 0 1872 0 1150 0 763 0 1854 0 2635 0 2863 0 1813 0 1889 0 578 0 2308 0 1923 0 2106 0 831 0 1674 0 2080 0 423 0 621 0 2495 0 490 0 346 0 374 0 975 0 409 0 309 0 565 0 656 0 579 0 1363 0 1328 0 1055 0 1900 0 1282 0 687 0 21 0 2244 0 936 0 25 0 1593 0 2619 0 1021 0 1496 0 565 0 477 0 2673 0 82 0 2778 0 2138 0 1737 0 1200 0 1673 0 2794 0 2318 0 723 0 1023 0 2889 0 2649 0 1382 0 2374 0 1757 0 793 0 1607 0 394 0 1948 0 322 0 980 0 2045 0 692 0 2212 0 2066 0 1172 0 431 0 347 0 253 0 123 0 144 0 1420 0 2793 0 2575 0 2019 0 2636 0 2918 0 335 0 2852 0 1505 0 1974 0 2139 0 66 0 2833 0 2759 0 70 0 2687 0 2104 0 1057 0 342 0 669 0 1429 0 2780 0 2176 0 1454 0 2095 0 245 0 2781 0 602 0 582 0 2699 0 1786 0 434 0 250 0 339 0 146 0 320 0 717 0 2561 0 2728 0 1121 0 516 0 1492 0 235 0 1909 0 1615 0 2667 0 1467 0 1953 0 1638 0 178 0 2755 0 1312 0 222 0 571 0 536 0 308 0 2761 0 2676 0 2544 0 1078 0 2485 0 1240 0 1765 0 540 0 1526 0 2249 0 1942 0 1603 0 1149 0 1282 0 1151 0 1255 0 1762 0 2037 0 639 0 767 0 1339 0 1170 0 1759 0 1153 0 1222 0 2348 0 2245 0 670 0 1139 0 2872 0 749 0 2952 0 1680 0 1423 0 1414 0 1661 0 571 0 1956 0 1626 0 1624 0 1640 0 235 0 78 0 1447 0 2553 0 807 0 2923 0 519 0 61 0 2994 0 727 0 1513 0 1160 0 1302 0 2000 0 709 0 1434 0 2513 0 25 0 2098 0 78 0 2464 0 1050 0 2157 0 1835 0 2380 0 1483 0 948 0 1611 0 2937 0 2298 0 1512 0 2251 0 2055 0 282 0 1725 0 1476 0 286 0 1284 0 1357 0 2000 0 2803 0 946 0 782 0 814 0 279 0 1199 0 2444 0 1208 0 2416 0 2649 0 1368 0 2210 0 675 0 2166 0 1325 0 827 0 1072 0 2424 0 308 0 1667 0 1166 0 1697 0 406 0 1165 0 2807 0 748 0 2342 0 839 0 2213 0 942 0 1404 0 1224 0 2679 0 86 0 2540 0 1981 0 1728 0 1999 0 2626 0 225 0 2230 0 1030 0 1851 0 70 0 1918 0 1237 0 1562 0 1652 0 1821 0 1745 0 2554 0 2419 0 1111 0 1168 0 992 0 260 0 1540 0 1569 0 557 0 394 0 1558 0 1707 0 408 0 2660 0 2774 0 1145 0 2650 0 1927 0 512 0 2552 0 251 0 1863 0 912 0 1670 0 742 0 521 0 1608 0 1150 0 491 0 87 0 1596 0 2959 0 107 0 2454 0 1682 0 424 0 2824 0 449 0 1748 0 1611 0 1007 0 1554 0 1053 0 1427 0 2936 0 820 0 897 0 1479 0 1754 0 1998 0 711 0 304 0 2303 0 2977 0 1859 0 1264 0 2830 0 1165 0 2134 0 2820 0 1043 0 358 0 1784 0 954 0 2299 0 58 0 81 0 1140 0 306 0 782 0 1121 0 1634 0 7 0 2299 0 2985 0 454 0 1278 0 374 0 2641 0 2814 0 2783 0 1543 0 76 0 2843 0 2173 0 1321 0 1971 0 53 0 653 0 799 0 1247 0 446 0 932 0 2255 0 2347 0 1059 0 1106 0 355 0 2134 0 1203 0 882 0 292 0 2691 0 2378 0 2357 0 290 0 607 0 2973 0 2138 0 383 0 2834 0 1677 0 2137 0 136 0 2457 0 217 0 523 0 1619 0 2437 0 592 0 166 0 900 0 191 0 1314 0 1679 0 2909 0 673 0 1746 0 220 0 631 0 2715 0 1675 0 681 0 2465 0 2967 0 282 0 2387 0 99 0 672 0 2973 0 2862 0 980 0 2062 0 306 0 912 0 1873 0 1463 0 512 0 2132 0 268 0 109 0 2926 0 49 0 2414 0 1051 0 467 0 2316 0 2746 0 840 0 271 0 90 0 2842 0 2915 0 2082 0 255 0 2098 0 2905 0 80 0 694 0 2738 0 2762 0 323 0 1050 0 2981 0 1295 0 1793 0 595 0 112 0 812 0 2761 0 938 0 1490 0 758 0 338 0 1133 0 1973 0 76 0 1891 0 2063 0 2298 0 2984 0 93 0 1180 0 332 0 679 0 679 0 1041 0 2298 0 368 0 2293 0 415 0 298 0 1488 0 2575 0 1219 0 132 0 505 0 1085 0 1435 0 1856 0 2289 0 1936 0 2945 0 978 0 327 0 561 0 1777 0 728 0 1684 0 2831 0 2876 0 2429 0 2550 0 572 0 1669 0 10 0 1656 0 1109 0 1684 0 2609 0 2654 0 1794 0 1318 0 1423 0 2425 0 1418 0 94 0 859 0 2491 0 114 0 27 0 173 0 1760 0 152 0 1733 0 2037 0 2841 0 1120 0 1524 0 1239 0 1544 0 1858 0 2966 0 2073 0 151 0 1398 0 225 0 177 0 2340 0 1210 0 2637 0 2615 0 95 0 208 0 1622 0 2869 0 1389 0 1055 0 1625 0 1920 0 1328 0 934 0 886 0 2445 0 326 0 780 0 191 0 2644 0 1136 0 2011 0 1652 0 1852 0 647 0 881 0 76 0 1438 0 1402 0 2626 0 1318 0 2580 0 836 0 891 0 939 0 1487 0 2905 0 2908 0 863 0 1496 0 2190 0 2928 0 1777 0 980 0 1895 0 2263 0 2398 0 306 0 88 0 2692 0 884 0 625 0 942 0 763 0 2434 0 1238 0 535 0 2977 0 68 0 2104 0 584 0 2602 0 66 0 2321 0 2579 0 2928 0 359 0 638 0 2188 0 364 0 1732 0 262 0 422 0 2476 0 47 0 1679 0 2320 0 1332 0 166 0 904 0 992 0 2606 0 185 0 395 0 1112 0 1869 0 2190 0 1428 0 714 0 331 0 481 0 2044 0 1094 0 836 0 207 0 2314 0 549 0 2337 0 71 0 1771 0 840 0 1295 0 476 0 2820 0 1443 0 2663 0 2481 0 1507 0 2913 0 532 0 2232 0 313 0 1633 0 1218 0 145 0 765 0 1906 0 2634 0 1480 0 847 0 1478 0 1696 0 1925 0 1902 0 573 0 1207 0 2789 0 193 0 825 0 1974 0 1798 0 1203 0 929 0 1405 0 1574 0 442 0 630 0 922 0 2644 0 829 0 1855 0 227 0 1193 0 1732 0 886 0 2490 0 321 0 2247 0 1366 0 1410 0 2219 0 828 0 1358 0 2572 0 2414 0 204 0 202 0 2130 0 2105 0 298 0 631 0 169 0 686 0 2490 0 694 0 1256 0 2011 0 2242 0 2355 0 622 0 2736 0 1163 0 858 0 1785 0 1145 0 372 0 1756 0 1661 0 1838 0 550 0 1533 0 1802 0 1703 0 2985 0 489 0 663 0 1099 0 2670 0 1638 0 2560 0 2127 0 1034 0 1420 0 482 0 977 0 332 0 467 0 597 0 1527 0 474 0 2618 0 189 0 2807 0 488 0 1950 0 2350 0 1855 0 2828 0 952 0 2080 0 2158 0 2148 0 2958 0 2438 0 972 0 793 0 833 0 613 0 27 0 2658 0 777 0 179 0 897 0 674 0 2885 0 391 0 2366 0 1711 0 2883 0 991 0 2335 0 2110 0 2923 0 2307 0 764 0 2907 0 2426 0 1899 0 2188 0 2402 0 2568 0 1221 0 1020 0 2196 0 2819 0 270 0 1071 0 236 0 1850 0 690 0 567 0 515 0 735 0 1611 0 526 0 0 0 1762 0 1205 0 1252 0 2388 0 389 0 949 0 184 0 577 0 2416 0 1586 0 2451 0 256 0 850 0 887 0 2226 0 347 0 2035 0 2863 0 2008 0 2027 0 273 0 1748 0 1383 0 2545 0 314 0 1698 0 2705 0 24 0 979 0 324 0 1531 0 317 0 2099 0 293 0 343 0 2239 0 1080 0 2169 0 1240 0 781 0 2914 0 692 0 134 0 1950 0 2567 0 1103 0 1321 0 2382 0 2783 0 1736 0 1595 0 967 0 1710 0 716 0 143 0 2174 0 2003 0 4 0 595 0 50 0 55 0 1192 0 1522 0 1978 0 1018 0 1329 0 1369 0 1884 0 2122 0 1271 0 1623 0 262 0 1367 0 2220 0 2435 0 1896 0 1941 0 1177 0 573 0 399 0 557 0 321 0 2343 0 1462 0 2980 0 810 0 1228 0 2810 0 2831 0 380 0 447 0 1767 0 2534 0 2362 0 1912 0 1666 0 466 0 200 0 1508 0 800 0 239 0 1339 0 520 0 1141 0 1080 0 248 0 2241 0 2832 0 2338 0 2055 0 246 0 110 0 2471 0 1800 0 826 0 2970 0 1639 0 2327 0 141 0 1830 0 2287 0 2034 0 1171 0 2976 0 2709 0 1829 0 1996 0 309 0 759 0 2022 0 2562 0 1448 0 1207 0 2941 0 2373 0 2305 0 2722 0 233 0 2234 0 821 0 387 0 701 0 1445 0 75 0 1149 0 1665 0 1899 0 2858 0 1394 0 843 0 2898 0 1016 0 2481 0 86 0 305 0 492 0 2867 0 1418 0 102 0 1406 0 2068 0 2869 0 2547 0 2296 0 637 0 102 0 2310 0 934 0 2446 0 1865 0 974 0 1451 0 354 0 2144 0 1315 0 1603 0 155 0 2119 0 1385 0 1588 0 2277 0 1519 0 1317 0 2401 0 2311 0 462 0 961 0 1747 0 1061 0 266 0 940 0 1773 0 2744 0 2537 0 2305 0 821 0 2426 0 1774 0 1555 0 30 0 396 0 1671 0 2689 0 1524 0 2387 0 2356 0 1658 0 1723 0 217 0 1096 0 1537 0 1547 0 2619 0 2724 0 55 0 1429 0 2662 0 928 0 520 0 2968 0 1081 0 1717 0 1019 0 1111 0 2722 0 2946 0 2203 0 977 0 1243 0 1701 0 217 0 1875 0 1841 0 259 0 1626 0 2365 0 192 0 1794 0 2310 0 523 0 2730 0 1990 0 2213 0 1821 0 347 0 65 0 2163 0 458 0 921 0 988 0 928 0 83 0 1815 0 378 0 708 0 2177 0 1595 0 2169 0 974 0 642 0 1446 0 1057 0 2320 0 518 0 1764 0 347 0 101 0 413 0 173 0 1639 0 89 0 2986 0 524 0 569 0 377 0 2908 0 2174 0 62 0 854 0 1776 0 1224 0 1470 0 2745 0 186 0 2818 0 430 0 2569 0 1899 0 2571 0 2379 0 165 0 586 0 68 0 327 0 1957 0 2889 0 349 0 562 0 876 0 437 0 2806 0 2212 0 2313 0 2055 0 1221 0 1215 0 490 0 898 0 1513 0 2788 0 2130 0 667 0 1054 0 1291 0 327 0 721 0 1884 0 601 0 832 0 2489 0 1967 0 87 0 117 0 881 0 2489 0 1821 0 919 0 2024 0 1854 0 2873 0 638 0 1318 0 925 0 989 0 554 0 1826 0 370 0 839 0 2986 0 1465 0 2925 0 2301 0 1818 0 1206 0 2427 0 700 0 1680 0 2081 0 2122 0 895 0 2362 0 1188 0 99 0 907 0 332 0 2112 0 2566 0 536 0 2680 0 1965 0 527 0 249 0 2325 0 1071 0 2249 0 1880 0 1936 0 1929 0 1772 0 525 0 1532 0 1907 0 831 0 2502 0 2007 0 1998 0 521 0 552 0 2089 0 1597 0 2115 0 1788 0 2257 0 1311 0 750 0 2624 0 750 1499\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 126,
        "task_id": 559,
        "test_case_id": 15,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 0 1 1 0 1 0 1 0 0 0 1 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
        "output": "0 1002 2768 813 1399 127 2664 1242 1175 193 967 1409 1669 981 438 2081 2072 1428 1848 991 2151 145 2852 1745 2294 2679 141 1654 2008 84 2104 1945 2891 1800 605 417 2384 60 2760 2216 1453 147 231 372 999 1954 2684 459 795 517 2168 1950 1717 72 1598 1037 1079 393 1405 746 2756 1937 2063 1241 1410 310 2830 1576 1369 2303 739 2634 2351 908 1095 1013 948 1704 1456 2115 849 417 2862 2648 274 86 827 2277 2109 2205 1201 2099 2623 2131 2544 1432 264 1989 602 1741 1717 2476 2990 247 2063 2478 1585 1451 1709 942 1388 2885 2084 649 610 2347 1850 1918 1288 2734 326 1702 83 1896 1495 466 1182 605 314 365 1498 787 1016 1673 2975 1956 170 2505 2649 2286 566 2790 2707 1595 2646 329 1907 365 959 1263 1478 1505 2654 1333 1358 671 863 1648 1374 19 1876 153 1245 1443 1416 2350 2639 905 1797 1984 591 2671 2389 335 564 900 493 2580 448 1010 2169 1933 2477 2710 28 660 1785 493 1729 711 2508 1812 1763 1400 164 242 589 472 580 2621 2894 1794 949 935 2963 314 1639 1482 1691 1227 79 1435 2325 137 2746 656 771 7 1427 2482 499 1264 2694 2355 1165 568 2575 1915 2176 217 436 152 2824 2015 769 887 1920 2398 1082 716 1991 592 266 763 1350 433 2371 1671 1014 2726 494 311 2811 2622 332 1692 993 2745 1528 1888 2433 348 907 934 2980 1209 1880 2548 595 2473 38 35 2893 694 934 712 1118 1224 357 2672 2621 40 1138 1813 1060 575 345 2018 2267 930 1186 1431 2255 22 2726 1237 400 1468 1744 1223 2211 782 2380 2647 612 127 2570 1972 393 203 997 289 2802 891 1502 1944 547 1335 2227 2668 2841 745 1334 842 500 2357 1550 2745 1167 621 96 2862 750 1624 1113 1883 987 2173 1777 2535 2606 2745 2248 1117 1014 501 1147 2358 1390 2331 2627 1543 911 2581 1062 2593 2209 2767 1423 737 1199 1652 1021 2106 718 1374 2165 223 899 210 2749 2505 739 955 21 485 2337 1436 2571 2305 1926 424 1354 2591 2071 2912 2861 111 228 1955 2009 352 1426 1916 2791 1160 1325 2064 2298 39 115 114 2417 374 132 2357 1217 1920 1769 1740 1745 1539 2620 2201 728 1737 2434 2112 1910 502 860 2187 751 123 1007 1021 2881 237 1976 2284 1844 418 1041 247 121 2711 670 817 974 492 2325 2675 2403 1833 1773 1528 2464 740 353 1748 1669 555 757 2067 1839 1305 2161 2447 2114 1770 2723 1937 1559 2705 751 2362 1871 2984 743 67 1426 2368 1033 504 2215 2693 1334 2812 1828 167 1165 1900 1576 1740 807 2040 1819 2011 2370 649 1289 2750 1580 2584 927 981 977 2065 572 2268 857 186 1819 2065 778 2223 2450 2859 670 1705 1766 2652 657 1406 1259 2488 1378 2663 2521 2732 484 2108 638 2971 1950 2117 2272 2310 2491 1943 1741 1272 2657 1675 715 956 1871 2522 2568 15 2544 2043 2138 1512 583 582 2841 1373 2194 276 2473 395 606 819 1940 2090 1307 995 2756 844 227 2621 2765 438 1300 723 2198 1471 2816 1784 512 994 1430 1282 2487 687 608 788 2044 2729 1267 2090 111 1864 2980 2516 2969 1498 369 841 667 370 742 2413 2444 1648 769 300 705 2162 2780 2574 13 1969 2549 1050 1932 1779 2169 1578 2026 1592 927 1376 2119 2159 931 317 179 2475 1615 1508 765 83 2893 1932 2587 765 1547 2305 2244 601 491 1804 2348 268 2396 2781 2789 1209 258 2187 1017 2216 2339 893 407 237 2145 733 227 2440 616 744 1560 1424 1920 2988 2166 966 1921 179 1092 2550 729 257 1814 2956 2395 2304 2640 2840 2910 598 944 2434 381 2035 2304 2955 805 1994 2922 1661 1325 1889 2816 966 2189 921 1134 866 1423 1214 1645 672 2716 1402 2976 1782 1007 2942 2204 2398 1885 840 18 1137 2803 2291 2021 1537 982 2311 508 2632 2850 2737 1394 2903 2107 482 2247 1827 2829 1611 2460 466 546 550 447 2450 2200 400 1000 981 1636 1688 376 1772 1764 1956 69 1536 954 259 686 554 1675 2465 1914 733 934 2212 2093 2875 1742 1068 2510 474 2768 2704 730 49 2618 1588 263 1136 350 2571 2405 2020 2890 696 2163 1709 363 377 2448 38 1261 2721 986 2275 1005 541 1403 2394 2331 1108 1149 2348 2898 453 1525 2219 1497 828 132 2989 2467 2682 59 874 2072 1040 800 2053 685 2555 2343 2873 932 892 2712 1451 2945 1965 318 2344 1251 1830 2593 812 459 2718 1432 1163 2918 973 1264 1236 758 2400 2350 1955 2129 2728 1995 198 1021 1252 439 92 1377 1885 1946 2398 1802 83 233 332 1693 2626 937 747 2552 1558 939 2576 1317 1348 1737 2349 189 918 5 1227 1817 1918 1511 1466 1046 1483 621 1095 1526 125 2022 1883 1892 1526 515 2630 1351 1475 1748 8 1594 2393 2050 936 1411 955 2740 2701 1474 415 858 2882 2037 1657 139 348 1727 880 752 2810 1209 2395 1915 2507 461 421 369 1679 2352 1048 2577 2004 1109 750 2970 2917 2174 2880 1013 2145 1182 1404 1926 1036 2678 1729 2637 2224 953 2766 2150 1993 1769 1084 2900 2963 1709 1519 2113 855 546 403 81 646 177 2456 2163 1771 2674 2620 537 1977 1493 1481 1392 1385 1327 909 192 1856 280 2611 2890 1648 2853 481 2947 256 612 278 85 2705 1806 1137 1201 2555 2946 495 2587 2554 2183 886 955 2109 981 596 1124 259 308 512 2212 430 741 223 2261 1731 201 43 2161 2370 553 2887 2594 793 1237 1567 1177 2016 953 1863 317 2636 1577 2871 1151 28 2172 1123 1824 1626 1267 1578 2861 594 1125 2662 131 1632 1404 1127 201 2827 2874 80 43 2087 1647 2175 1263 2771 2011 2634 2071 2459 1166 464 1014 1044 202 2105 1510 2798 2264 156 174 2401 2109 455 722 1242 1578 2724 2746 1022 2568 889 2117 2638 2969 101 418 2136 650 503 357 870 920 208 2604 1424 1066 2924 962 2646 2020 150 266 1913 2641 596 2317 2501 2488 2549 1700 797 399 1663 1811 1689 1017 1794 2382 763 2568 1855 2779 1186 1913 607 2780 1156 956 1137 624 2764 2461 1834 2880 1852 811 2792 2469 2776 426 123 1607 1378 1422 122 1574 975 806 2707 2271 1409 2083 2821 2898 1546 571 1110 2460 2873 72 1857 648 79 2851 1461 1909 2441 2707 862 1833 979 2492 994 2446 1968 1809 848 2173 86 1175 67 1908 2121 1495 2941 1435 1947 950 2471 635 1757 2590 2956 2981 1743 1800 840 1370 2324 1272 2894 2687 1534 0 2117 2599 374 1130 692 2179 426 1828 2555 2374 968 1047 1917 2453 2742 941 1279 913 382 1626 2377 2553 641 599 2659 827 938 2667 2164 2674 2962 401 2404 820 1837 554 2463 1619 1758 511 1508 1432 349 1644 2215 2578 2806 640 2400 2351 2555 2391 2970 2715 1073 311 1903 209 1346 709 1322 443 240 2505 1265 1186 751 1880 1641 2267 2078 531 1467 891 169 1994 975 725 678 583 741 1227 543 2693 605 1520 2048 2646 347 614 1143 1815 97 2846 1269 1565 2574 2468 2718 779 27 1513 2788 465 1492 579 2443 1901 439 1253 1963 1204 2382 509 2695 1745 451 1298 41 2522 2873 1288 807 747 1975 2295 2185 1408 934 2178 812 1135 639 2375 2774 1285 1453 1503 1002 1847 444 1334 645 1902 1832 1931 682 1469 313 447 2679 1901 228 1301 2612 1053 988 2626 180 1787 830 2969 2471 101 2576 1412 1795 716 1443 430 2838 1720 899 339 1532 467 989 1153 587 601 2028 2453 2884 1240 26 1517 1464 2042 1241 932 252 628 2049 1151 862 2628 1523 1910 1601 1111 732 38 355 749 2941 534 53 1385 2586 1789 283 1944 2056 636 1970 877 1322 942 309 2292 2944 1759 1735 1622 2761 2606 1895 2104 1839 2788 2313 2402 2383 385 1007 519 2244 2543 960 2011 361 893 2826 1446 685 25 1614 995 2537 2687 52 38 1450 1024 699 1742 2157 1062 539 953 379 1542 2297 2677 688 1917 1817 1890 1069 2945 842 400 1730 311 1278 1872 1434 418 1555 2299 482 595 2629 2660 1937 2106 2725 975 2216 2595 68 1200 2560 1749 2795 1974 2867 2442 1950 1522 1576 1687 27 70 898 252 361 2133 1728 1003 1906 2678 2990 20 2442 1629 1920 1070 1245 667 2265 2069 1194 2734 2515 1883 912 378 1808 412 118 1883 784 1719 2483 402 2719 1749 345 1332 444 2324 465 2404 2946 286 2711 76 2551 1440 2150 1848 174 1988 721 791 2799 1260 2451 1970 377 2183 773 1525 1707 1186 461 1058 859 239 1989 1893 152 2047 1445 606 580 1907 1072 1248 1231 714 2875 2742 2249 2212 1208 461 2432 2693 538 2850 2605 453 2725 81 2263 36 568 2053 1078 1459 1005 1840 2032 845 1704 1394 1559 1035 1839 1704 2717 675 1135 191 959 480 654 2612 1969 2547 776 860 2198 878 268 986 437 964 1614 2416 1160 2549 1039 1698 2253 2832 2600 386 1742 1693 2410 9 1221 1221 593 2292 2221 1950 1129 2805 1808 1453 1954 1681 225 1915 2809 2689 1136 302 2777 2765 2417 1491 1549 221 2655 1659 571 1640 2289 2693 2675 862 1106 117 916 1998 2915 571 2106 854 2967 2467 2455 1488 980 1066 2306 1720 1200 766 2356 737 2002 179 2038 336 149 836 2308 456 135 941 1625 2068 56 2770 2409 2518 1451 2817 629 2447 2196 1384 2122 1789 1402 698 968 1507 1547 282 324 2940 1318 2826 2175 1984 416 228 511 661 287 790 1819 169 754 231 985 2243 822 2773 332 2820 1532 2308 2745 432 441 1110 780 1520 1267 2127 293 186 444 1909 1982 341 1482 1745 1445 2104 2803 1114 406 500 1706 2861 1909 2806 73 2264 2800 1668 2133 1894 2070 1745 2169 991 843 1218 2115 1627 1830 2529 2986 1529 886 1016 954 401 1501 1252 2926 465 278 294 1030 2374 1076 839 1657 1932 1793 2114 2379 1429 2587 189 1351 2745 2420 437 621 2310 1942 1578 2783 1302 1672 1021 1894 742 534 1950 2860 1359 816 1514 422 2422 251 1341 1996 1137 847 269 1653 162 2668 1038 675 2944 2560 2849 1733 2432 2301 536 2531 566 2979 2527 1009 858 880 2178 1493 2651 2541 1147 602 1096 527 258 2882 2567 699 2494 1758 2342 720 1544 407 2380 966 1981 2375 2736 1031 2464 1490 437 2179 685 2221 19 2012 2627 2005 1793 969 2280 2246 1371 896 2049 12 1183 663 539 2358 868 324 1376 2023 1895 1512 2577 1268 1602 269 2515 2260 1310 1450 2030 2031 2512 1152 278 32 2356 220 1908 808 845 1581 577 214 168 1858 985 2801 415 1926 400 401 2309 2816 11 1229 1871 2507 224 1851 1211 1273 1980 716 1193 1162 2817 338 388 754 2856 2200 1350 1653 2063 1762 513 988 2922 2539 2381 2736 21 2778 2692 1437 2521 591 1978 1424 1400 1478 528 1612 1543 34 123 1860 2260 1237 178 665 647 874 474 1723 989 1699 2307 2252 1184 1445 2847 1624 870 262 2244 1256 1979 1237 2199 2451 224 2720 2759 1614 991 1413 1010 452 1702 2380 259 1041 1668 1466 1982 1665 1151 217 1780 2867 2729 1390 2681 2385 1614 1014 2113 767 2931 2881 132 615 1726 2591 2809 245 981 2590 1875 1019 1059 2266 2030 46 837 2064 2383 369 1073 557 1232 2510 1225 1055 2555 2837 1397 1458 1792 1835 1843 2883 2534 813 1554 2514 1582 104 1246 2635 316 2987 919 132 235 1109 981 350 537 2594 1099 1058 2698 277 1234 216 1446 2120 1002 501 1424 896 1422 2267 1199 110 13 1286 1757 2694 2269 1034 1250 2099 1684 1101 535 1847 320 10 19 450 2373 2773 2520 415 1266 2096 815 2603 816 1624 2211 2137 1442 865 343 1137 1375 730 2788 2624 1542 153 2413 1210 2448 890 2557 758 1453 2753 2616 672 1617 1463 2812 2279 2934 1406 486 2005 1621 577 2482 772 2187 177 2266 660 2578 751 54 2329 247 1943 2172 131 391 1834 548 832 2147 522 2910 2132 60 2053 2035 94 177 1831 1764 1524 1632 531 1323 100 1627 250 2974 608 1295 1208 533 1157 2560 2160 214 2911 2698 1572 2124 846 2191 1379 1199 1447 753 291 2292 1397 1476 2092 1774 2291 536 1557 1669 1158 1604 1616 892 1011 2191 2399 82 2659 1828 2391 2466 2646 1669 2345 1121 2753 799 2696 28 1162 1352 2592 570 2064 1785 1778 1061 2574 2988 957 2104 1142 1097 1096 1504 358 343 1012 2336 2648 1801 2376 784 1522 532 1467 2448 682 41 2315 447 1635 660 2860 77 2307 2421 649 1580 1997 1535 2537 70 1441 2914 677 1801 449 2252 2838 2714 2230 1088 2357 111 943 1601 567 2526 1278 2430 1827 2671 2884 127 1765 2646 525 2694 2164 1183 2525 1927 39 568 1527 2257 1806 1407 533 2826 2144 980 2719 452 291 1031 2533 2859 336 1503 890 252 1172 86 2000 2526 688 276 2868 497 2161 166 2255 690 1290 1714 844 1204 1021 1589 1355 979 139 1448 446 16 2618 148 501 2212 1807 1497 1908 867 1211 1057 331 1899 636 66 2624 1727 2092 65 523 1633 2690 747 164 684 2907 1770 2121 1117 1284 1321 2074 2213 1717 826 466 2275 1882 373 2253 321 422 634 2636 326 1643 2659 1171 1953 699 336 2945 2885 2540 668 1865 918 1903 241 2895 519 2551 2243 1756 472 2175 2697 545 1378 717 338 454 412 1966 1012 663 1015 1556 819 2559 2786 2167 281 2378 2648 820 622 852 330 1408 1319 2875 946 2944 2651 386 2989 570 1623 1858 1336 2618 1511 2046 2254 752 2852 2677 1538 875 201 2379 1549 2323 1565 2922 603 1722 99 2963 196 2436 2951 289 2755 2081 1880 2056 601 1526 1450 2295 2372 2531 168 2076 1485 1085 2964 225 2435 2054 1610 2909 2631 252 2448 667 2795 495 669 1066 2581 177 461 1756 2111 2104 602 608 1359 2459 1268 2274 51 421 1231 1634 2732 623 1057 652 1714 2976 848 1046 2384 2309 1686 1559 683 504 927 1705 554 384 1174 2506 2617 1426 1419 721 2494 1307 1018 1611 369 712 1987 1529 1562 1700 2774 2364 312 175 948 2860 2196 2342 2133 263 2964 601 2871 1470 441 942 2924 2926 926 242 964 2432 2581 147 2204 2961 837 1263 2744 581 2680 1423 2105 1884 2673 250 1377 2818 961 2260 218 508 790 299 1622 1309 1872 585 2198 432 1818 876 1254 292 2107 1877 2604 2452 442 781 87 2837 2855 2467 195 2121 596 663 1988 1321 2166 724 1532 2721 2541 2300 585 1534 578 514 1575 429 1222 2203 2522 1700 898 851 2501 2137 2394 2570 174 2830 486 256 2025 1500 2548 2946 1885 2170 1591 772 2531 345 368 2172 632 1607 2304 1128 541 499 2187 746 890 1220 2014 1378 2603 1410 1862 193 2352 1308 2432 117 164 70 1965 1254 169 2759 1096 1351 384 2452 1297 403 2589 2838 2689 339 2717 2894 2545 2080 2684 1396 2814 2919 2050 1805 1953 844 1919 6 1874 2469 1084 2727 2663 538 577 1199 2398 2457 2216 730 2508 381 262 1584 2210 2062 684 199 2263 2334 328 1904 2666 548 864 1568 648 1867 718 2038 1604 2985 1835 720 854 2124 2609 1150 982 1818 2774 880 2273 2593 18 1288 1038 2097 1373 950 2335 2739 2664 1588 554 2761 873 1686 1282 322 2301 1645 2275 2398 2766 1242 1157 2342 1669 1163 1436 1959 597 1188 333 1434 1610 609 1195 1808 2786 2385 960 468 2047 2662 2974 2893 1506 1337 1954 1547 576 1970 1492 2388 389 47 982 994 226 2291 2889 2181 2681 1145 2839 2183 831 2826 1021 971 1819 752 1942 2053 168 2180 2381 965 812 204 896 2923 1395 2126 2852 577 1210 2185 1230 1501 230 499 956 2364 1477 2515 357 1318 2449 2428 39 1514 1961 2708 1866 2088 2872 361 1386 1467 1940 2532 2966 1197 225 780 2103 1762 1259 2980 1633 1990 1934 2976 2516 2065 2412 2768 1330 1452 2144 2416 756 2957 474 451 1057 1434 596 2592 496 2484 1262 2806 377 2849 1816 2846 1552 842 1385 317 2686 1478 760 433 2352 2467 120 2298 1836 1630 2240 2924 2410 1149 1657 1568 2666 1058 2219 1377 2492 260 810 1101 1028 552 2603 61 1678 392 342 2377 1623 2391 526 1304 206 925 2573 1092 1901 239 602 2826 1655 818 1300 1754 458 2069 2101 2726 335 747 2811 635 1756 1746 2749 354 562 1666 1919 1770 1814 1300 1256 1450 1041 1163 1446 2272 1119 2978 2570\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 127,
        "task_id": 559,
        "test_case_id": 16,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n1 1 0 0 1 0 1 0 1 1 1 0 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "1 1997 231 2186 1600 2872 335 1757 1824 2806 2032 1590 1330 2018 2561 918 927 1571 1151 2008 848 2854 147 1254 705 320 2858 1345 991 2915 895 1054 108 1199 2394 2582 615 2939 239 783 1546 2852 2768 2627 2000 1045 315 2540 2204 2482 831 1049 1282 2927 1401 1962 1920 2606 1594 2253 243 1062 936 1758 1589 2689 169 1423 1630 696 2260 365 648 2091 1904 1986 2051 1295 1543 884 2150 2582 137 351 2725 2913 2172 722 890 794 1798 900 376 868 455 1567 2735 1010 2397 1258 1282 523 9 2752 936 521 1414 1548 1290 2057 1611 114 915 2350 2389 652 1149 1081 1711 265 2673 1297 2916 1103 1504 2533 1817 2394 2685 2634 1501 2212 1983 1326 24 1043 2829 494 350 713 2433 209 292 1404 353 2670 1092 2634 2040 1736 1521 1494 345 1666 1641 2328 2136 1351 1625 2980 1123 2846 1754 1556 1583 649 360 2094 1202 1015 2408 328 610 2664 2435 2099 2506 419 2551 1989 830 1066 522 289 2971 2339 1214 2506 1270 2288 491 1187 1236 1599 2835 2757 2410 2527 2419 378 105 1205 2050 2064 36 2685 1360 1517 1308 1772 2920 1564 674 2862 253 2343 2228 2992 1572 517 2500 1735 305 644 1834 2431 424 1084 823 2782 2563 2847 175 984 2230 2112 1079 601 1917 2283 1008 2407 2733 2236 1649 2566 628 1328 1985 273 2505 2688 188 377 2667 1307 2006 254 1471 1111 566 2651 2092 2065 19 1790 1119 451 2404 526 2961 2964 106 2305 2065 2287 1881 1775 2642 327 378 2959 1861 1186 1939 2424 2654 981 732 2069 1813 1568 744 2977 273 1762 2599 1531 1255 1776 788 2217 619 352 2387 2872 429 1027 2606 2796 2002 2710 197 2108 1497 1055 2452 1664 772 331 158 2254 1665 2157 2499 642 1449 254 1832 2378 2903 137 2249 1375 1886 1116 2012 826 1222 464 393 254 751 1882 1985 2498 1852 641 1609 668 372 1456 2088 418 1937 406 790 232 1576 2262 1800 1347 1978 893 2281 1625 834 2776 2100 2789 250 494 2260 2044 2978 2514 662 1563 428 694 1073 2575 1645 408 928 87 138 2888 2771 1044 990 2647 1573 1083 208 1839 1674 935 701 2960 2884 2885 582 2625 2867 642 1782 1079 1230 1259 1254 1460 379 798 2271 1262 565 887 1089 2497 2139 812 2248 2876 1992 1978 118 2762 1023 715 1155 2581 1958 2752 2878 288 2329 2182 2025 2507 674 324 596 1166 1226 1471 535 2259 2646 1251 1330 2444 2242 932 1160 1694 838 552 885 1229 276 1062 1440 294 2248 637 1128 15 2256 2932 1573 631 1966 2495 784 306 1665 187 1171 2832 1834 1099 1423 1259 2192 959 1180 988 629 2350 1710 249 1419 415 2072 2018 2022 934 2427 731 2142 2813 1180 934 2221 776 549 140 2329 1294 1233 347 2342 1593 1740 511 1621 336 478 267 2515 891 2361 28 1049 882 727 689 508 1056 1258 1727 342 1324 2284 2043 1128 477 431 2984 455 956 861 1487 2416 2417 158 1626 805 2723 526 2604 2393 2180 1059 909 1692 2004 243 2155 2772 378 234 2561 1699 2276 801 1528 183 1215 2487 2005 1569 1717 512 2312 2391 2211 955 270 1732 909 2888 1135 19 483 30 1501 2630 2158 2332 2629 2257 586 555 1351 2230 2699 2294 837 219 425 2986 1030 450 1949 1067 1220 830 1421 973 1407 2072 1623 880 840 2068 2682 2820 524 1384 1491 2234 2916 106 1067 412 2234 1452 694 755 2398 2508 1195 651 2731 603 218 210 1790 2741 812 1982 783 660 2106 2592 2762 854 2266 2772 559 2383 2255 1439 1575 1079 11 833 2033 1078 2820 1907 449 2270 2742 1185 43 604 695 359 159 89 2401 2055 565 2618 964 695 44 2194 1005 77 1338 1674 1110 183 2033 810 2078 1865 2133 1576 1785 1354 2327 283 1597 23 1217 1992 57 795 601 1114 2159 2981 1862 196 708 978 1462 2017 688 2491 367 149 262 1605 96 892 2517 752 1172 170 1388 539 2533 2453 2449 2552 549 799 2599 1999 2018 1363 1311 2623 1227 1235 1043 2930 1463 2045 2740 2313 2445 1324 534 1085 2266 2065 787 906 124 1257 1931 489 2525 231 295 2269 2950 381 1411 2736 1863 2649 428 594 979 109 2303 836 1290 2636 2622 551 2961 1738 278 2013 724 1994 2458 1596 605 668 1891 1850 651 101 2546 1474 780 1502 2171 2867 10 532 317 2940 2125 927 1959 2199 946 2314 444 656 126 2067 2107 287 1548 54 1034 2681 655 1748 1169 406 2187 2540 281 1567 1836 81 2026 1735 1763 2241 599 649 1044 870 271 1004 2801 1978 1747 2560 2907 1622 1114 1053 601 1197 2916 2766 2667 1306 373 2062 2252 447 1441 2060 423 1682 1651 1262 650 2810 2081 2994 1772 1182 1081 1488 1533 1953 1516 2378 1904 1473 2874 977 1116 1107 1473 2484 369 1648 1524 1251 2991 1405 606 949 2063 1588 2044 259 298 1525 2584 2141 117 962 1342 2860 2651 1272 2119 2247 189 1790 604 1084 492 2538 2578 2630 1320 647 1951 422 995 1890 2249 29 82 825 119 1986 854 1817 1595 1073 1963 321 1270 362 775 2046 233 849 1006 1230 1915 99 36 1290 1480 886 2144 2453 2596 2918 2353 2822 543 836 1228 325 379 2462 1022 1506 1518 1607 1614 1672 2090 2807 1143 2719 388 109 1351 146 2518 52 2743 2387 2721 2914 294 1193 1862 1798 444 53 2504 412 445 816 2113 2044 890 2018 2403 1875 2740 2691 2487 787 2569 2258 2776 738 1268 2798 2956 838 629 2446 112 405 2206 1762 1432 1822 983 2046 1136 2682 363 1422 128 1848 2971 827 1876 1175 1373 1732 1421 138 2405 1874 337 2868 1367 1595 1872 2798 172 125 2919 2956 912 1352 824 1736 228 988 365 928 540 1833 2535 1985 1955 2797 894 1489 201 735 2843 2825 598 890 2544 2277 1757 1421 275 253 1977 431 2110 882 361 30 2898 2581 863 2349 2496 2642 2129 2079 2791 395 1575 1933 75 2037 353 979 2849 2733 1086 358 2403 682 498 511 450 1299 2202 2600 1336 1188 1310 1982 1205 617 2236 431 1144 220 1813 1086 2392 219 1843 2043 1862 2375 235 538 1165 119 1147 2188 207 530 223 2573 2876 1392 1621 1577 2877 1425 2024 2193 292 728 1590 916 178 101 1453 2428 1889 539 126 2927 1142 2351 2920 148 1538 1090 558 292 2137 1166 2020 507 2005 553 1031 1190 2151 826 2913 1824 2932 1091 878 1504 58 1564 1052 2049 528 2364 1242 409 43 18 1256 1199 2159 1629 675 1727 105 312 1465 0 882 400 2625 1869 2307 820 2573 1171 444 625 2031 1952 1082 546 257 2058 1720 2086 2617 1373 622 446 2358 2400 340 2172 2061 332 835 325 37 2598 595 2179 1162 2445 536 1380 1241 2488 1491 1567 2650 1355 784 421 193 2359 599 648 444 608 29 284 1926 2688 1096 2790 1653 2290 1677 2556 2759 494 1734 1813 2248 1119 1358 732 921 2468 1532 2108 2830 1005 2024 2274 2321 2416 2258 1772 2456 306 2394 1479 951 353 2652 2385 1856 1184 2902 153 1730 1434 425 531 281 2220 2972 1486 211 2534 1507 2420 556 1098 2560 1746 1036 1795 617 2490 304 1254 2548 1701 2958 477 126 1711 2192 2252 1024 704 814 1591 2065 821 2187 1864 2360 624 225 1714 1546 1496 1997 1152 2555 1665 2354 1097 1167 1068 2317 1530 2686 2552 320 1098 2771 1698 387 1946 2011 373 2819 1212 2169 30 528 2898 423 1587 1204 2283 1556 2569 161 1279 2100 2660 1467 2532 2010 1846 2412 2398 971 546 115 1759 2973 1482 1535 957 1758 2067 2747 2371 950 1848 2137 371 1476 1089 1398 1888 2267 2961 2644 2250 58 2465 2946 1614 413 1210 2716 1055 943 2363 1029 2122 1677 2057 2690 707 55 1240 1264 1377 238 393 1104 895 1160 211 686 597 616 2614 1992 2480 755 456 2039 988 2638 2106 173 1553 2314 2974 1385 2004 462 312 2947 2961 1549 1975 2300 1257 842 1937 2460 2046 2620 1457 702 322 2311 1082 1182 1109 1930 54 2157 2599 1269 2688 1721 1127 1565 2581 1444 700 2517 2404 370 339 1062 893 274 2024 783 404 2931 1799 439 1250 204 1025 132 557 1049 1477 1423 1312 2972 2929 2101 2747 2638 866 1271 1996 1093 321 9 2979 557 1370 1079 1929 1754 2332 734 930 1805 265 484 1116 2087 2621 1191 2587 2881 1116 2215 1280 516 2597 280 1250 2654 1667 2555 675 2534 595 53 2713 288 2923 448 1559 849 1151 2825 1011 2278 2208 200 1739 548 1029 2622 816 2226 1474 1292 1813 2538 1941 2140 2760 1010 1106 2847 952 1554 2393 2419 1092 1927 1751 1768 2285 124 257 750 787 1791 2538 567 306 2461 149 394 2546 274 2918 736 2963 2431 946 1921 1540 1994 1159 967 2154 1295 1605 1440 1964 1160 1295 282 2324 1864 2808 2040 2519 2345 387 1030 452 2223 2139 801 2121 2731 2013 2562 2035 1385 583 1839 450 1960 1301 746 167 399 2613 1257 1306 589 2990 1778 1778 2406 707 778 1049 1870 194 1191 1546 1045 1318 2774 1084 190 310 1863 2697 222 234 582 1508 1450 2778 344 1340 2428 1359 710 306 324 2137 1893 2882 2083 1001 84 2428 893 2145 32 532 544 1511 2019 1933 693 1279 1799 2233 643 2262 997 2820 961 2663 2850 2163 691 2543 2864 2058 1374 931 2943 229 590 481 1548 182 2370 552 803 1615 877 1210 1597 2301 2031 1492 1452 2717 2675 59 1681 173 824 1015 2583 2771 2488 2338 2712 2209 1180 2830 2245 2768 2014 756 2177 226 2667 179 1467 691 254 2567 2558 1889 2219 1479 1732 872 2706 2813 2555 1090 1017 2658 1517 1254 1554 895 196 1885 2593 2499 1293 138 1090 193 2926 735 199 1331 866 1105 929 1254 830 2008 2156 1781 884 1372 1169 470 13 1470 2113 1983 2045 2598 1498 1747 73 2534 2721 2705 1969 625 1923 2160 1342 1067 1206 885 620 1570 412 2810 1648 254 579 2562 2378 689 1057 1421 216 1697 1327 1978 1105 2257 2465 1049 139 1640 2183 1485 2577 577 2748 1658 1003 1862 2152 2730 1346 2837 331 1961 2324 55 439 150 1266 567 698 2463 468 2433 20 472 1990 2141 2119 821 1506 348 458 1852 2397 1903 2472 2741 117 432 2300 505 1241 657 2279 1455 2592 619 2033 1018 624 263 1968 535 1509 2562 820 2314 778 2980 987 372 994 1206 2030 719 753 1628 2103 950 2987 1816 2336 2460 641 2131 2675 1623 976 1104 1487 422 1731 1397 2730 484 739 1689 1549 969 968 487 1847 2721 2967 643 2779 1091 2191 2154 1418 2422 2785 2831 1141 2014 198 2584 1073 2599 2598 690 183 2988 1770 1128 492 2775 1148 1788 1726 1019 2283 1806 1837 182 2661 2611 2245 143 799 1649 1346 936 1237 2486 2011 77 460 618 263 2978 221 307 1562 478 2408 1021 1575 1599 1521 2471 1387 1456 2965 2876 1139 739 1762 2821 2334 2352 2125 2525 1276 2010 1300 692 747 1815 1554 152 1375 2129 2737 755 1743 1020 1762 800 548 2775 279 240 1385 2008 1586 1989 2547 1297 619 2740 1958 1331 1533 1017 1334 1848 2782 1219 132 270 1609 318 614 1385 1985 886 2232 68 118 2867 2384 1273 408 190 2754 2018 409 1124 1980 1940 733 969 2953 2162 935 616 2630 1926 2442 1767 489 1774 1944 444 162 1602 1541 1207 1164 1156 116 465 2186 1445 485 1417 2895 1753 364 2683 12 2080 2867 2764 1890 2018 2649 2462 405 1900 1941 301 2722 1765 2783 1553 879 1997 2498 1575 2103 1577 732 1800 2889 2986 1713 1242 305 730 1965 1749 900 1315 1898 2464 1152 2679 2989 2980 2549 626 226 479 2584 1733 903 2184 396 2183 1375 788 862 1557 2134 2656 1862 1624 2269 211 375 1457 2846 586 1789 551 2109 442 2241 1546 246 383 2327 1382 1536 187 720 65 1593 2513 994 1378 2422 517 2227 812 2822 733 2339 421 2248 2945 670 2752 1056 827 2868 2608 1165 2451 2167 852 2477 89 867 2939 946 964 2905 2822 1168 1235 1475 1367 2468 1676 2899 1372 2749 25 2391 1704 1791 2466 1842 439 839 2785 88 301 1427 875 2153 808 1620 1800 1552 2246 2708 707 1602 1523 907 1225 708 2463 1442 1330 1841 1395 1383 2107 1988 808 600 2917 340 1171 608 533 353 1330 654 1878 246 2200 303 2971 1837 1647 407 2429 935 1214 1221 1938 425 11 2042 895 1857 1902 1903 1495 2641 2656 1987 663 351 1198 623 2215 1477 2467 1532 551 2317 2958 684 2552 1364 2339 139 2922 692 578 2350 1419 1002 1464 462 2929 1558 85 2322 1198 2550 747 161 285 769 1911 642 2888 2056 1398 2432 473 1721 569 1172 328 115 2872 1234 353 2474 305 835 1816 474 1072 2960 2431 1472 742 1193 1592 2466 173 855 2019 280 2547 2708 1968 466 140 2663 1496 2109 2747 1827 2913 999 473 2311 2723 131 2502 838 2833 744 2309 1709 1285 2155 1795 1978 1410 1644 2020 2860 1551 2553 2983 381 2851 2498 787 1192 1502 1091 2132 1788 1942 2668 1100 2363 2933 375 1272 907 2934 2476 1366 309 2252 2835 2315 92 1229 878 1882 1715 1678 925 786 1282 2173 2533 724 1117 2626 746 2678 2577 2365 363 2673 1356 340 1828 1046 2300 2663 54 114 459 2331 1134 2081 1096 2758 104 2480 448 756 1243 2527 824 302 2454 1621 2282 2661 2545 2587 1033 1987 2336 1984 1443 2180 440 213 832 2718 621 351 2179 2377 2147 2669 1591 1680 124 2053 55 348 2613 10 2429 1376 1141 1663 381 1488 953 745 2247 147 322 1461 2124 2798 620 1450 676 1434 77 2396 1277 2900 36 2803 563 48 2710 244 918 1119 943 2398 1473 1549 704 627 468 2831 923 1514 1914 35 2774 564 945 1389 90 368 2747 551 2332 204 2504 2330 1933 418 2822 2538 1243 888 895 2397 2391 1640 540 1731 725 2948 2578 1768 1365 267 2376 1942 2347 1285 23 2151 1953 615 690 1313 1440 2316 2495 2072 1294 2445 2615 1825 493 382 1573 1580 2278 505 1692 1981 1388 2630 2287 1012 1470 1437 1299 225 635 2687 2824 2051 139 803 657 866 2736 35 2398 128 1529 2558 2057 75 73 2073 2757 2035 567 418 2852 795 38 2162 1736 255 2418 319 1576 894 1115 326 2749 1622 181 2038 739 2781 2491 2209 2700 1377 1690 1127 2414 801 2567 1181 2123 1745 2707 892 1122 395 547 2557 2218 2912 162 144 532 2804 878 2403 2336 1011 1678 833 2275 1467 278 458 699 2414 1465 2421 2485 1424 2570 1777 796 477 1299 2101 2148 498 862 605 429 2825 169 2513 2743 974 1499 451 53 1114 829 1408 2227 468 2654 2631 827 2367 1392 695 1871 2458 2500 812 2253 2109 1779 985 1621 396 1589 1137 2806 647 1691 567 2882 2835 2929 1034 1745 2830 240 1903 1648 2615 547 1702 2596 410 161 310 2660 282 105 454 919 315 1603 185 80 949 1194 1046 2155 1080 2993 1125 530 1915 272 336 2461 2422 1800 601 542 783 2269 491 2618 2737 1415 789 937 2315 2800 736 665 2671 1095 333 2451 2135 1431 2351 1132 2281 961 1395 14 1164 2279 2145 875 390 1849 2017 1181 225 2119 726 406 2981 1711 1961 902 1626 2049 664 260 335 1411 2445 238 2126 1313 1717 2677 698 1354 724 601 233 1757 1842 657 1330 1836 1563 1040 2402 1811 2666 1565 1389 2390 1804 1191 213 614 2039 2531 952 337 25 106 1493 1662 1045 1452 2423 1029 1507 611 2610 2952 2017 2005 2773 708 110 818 318 1854 160 816 2168 173 1978 2028 1180 2247 1057 946 2831 819 618 2034 2187 2795 2103 76 1604 873 147 2422 1789 814 1769 1498 2769 2500 2043 635 1522 484 2642 1681 550 571 2960 1485 1038 291 1133 911 127 2638 1613 1532 1059 467 33 1802 2774 2219 896 1237 1740 19 1366 1009 1065 23 483 934 587 231 1669 1547 855 583 2243 42 2525 2548 1942 1565 2403 407 2503 515 1737 193 2622 150 1183 153 1447 2157 1614 2682 313 1521 2239 2566 647 532 2879 701 1163 1369 759 75 589 1850 1342 1431 333 1941 780 1622 507 2739 2189 1898 1971 2447 396 2938 1321 2607 2657 622 1376 608 2473 1695 2793 2074 426 1907 1098 2760 2397 173 1344 2181 1699 1245 2541 930 898 273 2664 2252 188 2364 1243 1253 250 2645 2437 1333 1080 1229 1185 1699 1743 1549 1958 1836 1553 727 1880 21 429\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 128,
        "task_id": 559,
        "test_case_id": 17,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
        "output": "1 961 0 80 0 1116 0 1714 0 1703 0 1216 0 1482 0 1371 0 1707 0 2987 0 1486 0 2236 0 210 0 2090 0 622 0 946 0 1570 0 2796 0 2721 0 50 0 1905 0 517 0 2909 0 365 0 957 0 463 0 444 0 1161 0 2256 0 825 0 2107 0 1970 0 495 0 845 0 1548 0 2266 0 592 0 519 0 674 0 2280 0 875 0 2132 0 2086 0 2334 0 747 0 258 0 1188 0 2262 0 249 0 267 0 1869 0 2325 0 2103 0 1989 0 2218 0 1386 0 2226 0 503 0 2855 0 2039 0 1389 0 1316 0 1845 0 1753 0 178 0 1852 0 1315 0 2292 0 2653 0 2702 0 1931 0 1447 0 2452 0 1212 0 1124 0 2803 0 494 0 926 0 1157 0 1502 0 1795 0 2978 0 2573 0 963 0 2406 0 2298 0 1004 0 2847 0 1946 0 850 0 735 0 687 0 775 0 457 0 2473 0 2592 0 2899 0 2683 0 1630 0 786 0 1657 0 2052 0 1366 0 2429 0 1194 0 713 0 1986 0 898 0 1047 0 1285 0 2374 0 1191 0 1741 0 2202 0 669 0 1120 0 1356 0 376 0 1580 0 1109 0 24 0 946 0 2888 0 385 0 1158 0 1587 0 1130 0 1511 0 1862 0 1835 0 1804 0 348 0 1151 0 426 0 2787 0 739 0 1564 0 2279 0 184 0 438 0 62 0 2881 0 771 0 1897 0 70 0 1671 0 1722 0 1302 0 323 0 1558 0 2061 0 996 0 543 0 196 0 2248 0 529 0 2702 0 507 0 283 0 113 0 401 0 2340 0 2895 0 67 0 898 0 1814 0 1283 0 1089 0 713 0 1190 0 1840 0 850 0 1341 0 1223 0 375 0 2714 0 217 0 1672 0 734 0 1505 0 1650 0 479 0 56 0 681 0 2019 0 2973 0 1321 0 2086 0 605 0 620 0 1097 0 2343 0 628 0 460 0 1527 0 175 0 954 0 2843 0 2085 0 415 0 966 0 1247 0 1813 0 2156 0 2351 0 2483 0 692 0 343 0 586 0 709 0 215 0 801 0 172 0 1050 0 1034 0 1138 0 624 0 506 0 1187 0 484 0 2517 0 909 0 994 0 1239 0 2630 0 1123 0 2848 0 2769 0 2827 0 1889 0 2826 0 2685 0 1019 0 878 0 628 0 2512 0 1575 0 1200 0 1246 0 614 0 2995 0 1018 0 507 0 2260 0 2760 0 647 0 2580 0 1251 0 2116 0 220 0 1642 0 1123 0 2177 0 1956 0 1111 0 2476 0 1493 0 571 0 255 0 2296 0 338 0 2842 0 465 0 2283 0 36 0 1946 0 2974 0 1022 0 522 0 1969 0 2285 0 1594 0 237 0 2833 0 817 0 1500 0 2218 0 2221 0 1811 0 1087 0 1549 0 289 0 1424 0 1727 0 2015 0 1697 0 529 0 1171 0 224 0 1196 0 511 0 2824 0 2330 0 1816 0 1617 0 17 0 2521 0 2951 0 1744 0 1603 0 1339 0 2937 0 1481 0 384 0 2340 0 2861 0 723 0 1536 0 763 0 1110 0 442 0 2721 0 867 0 358 0 82 0 779 0 358 0 334 0 1006 0 2284 0 853 0 2460 0 399 0 2230 0 1251 0 1253 0 158 0 1369 0 1116 0 165 0 40 0 2409 0 1415 0 2790 0 1701 0 2524 0 2703 0 1759 0 1325 0 847 0 2405 0 2309 0 276 0 1099 0 1742 0 96 0 1058 0 45 0 840 0 803 0 2178 0 699 0 1361 0 1797 0 1009 0 2397 0 2199 0 1617 0 1366 0 1657 0 2666 0 2875 0 952 0 998 0 1709 0 2784 0 1038 0 2429 0 790 0 2742 0 257 0 1375 0 698 0 1685 0 2389 0 2452 0 1015 0 1381 0 2981 0 1577 0 290 0 1043 0 2263 0 725 0 289 0 582 0 2409 0 60 0 670 0 1689 0 2853 0 2504 0 1049 0 1709 0 1886 0 2292 0 165 0 2140 0 2924 0 246 0 2734 0 2868 0 2392 0 2848 0 873 0 2489 0 693 0 2190 0 2299 0 1211 0 2160 0 1228 0 1543 0 824 0 545 0 2460 0 1700 0 1052 0 2934 0 1091 0 256 0 2878 0 1167 0 2709 0 2442 0 150 0 1610 0 1018 0 1008 0 1245 0 2323 0 1576 0 2801 0 187 0 1437 0 1756 0 2847 0 1202 0 1993 0 932 0 459 0 106 0 412 0 2511 0 616 0 1822 0 2129 0 75 0 1059 0 2169 0 2523 0 2976 0 2547 0 1669 0 2598 0 2239 0 1507 0 1656 0 631 0 956 0 2078 0 2826 0 2246 0 1191 0 1230 0 2402 0 463 0 750 0 644 0 2301 0 986 0 2860 0 1388 0 647 0 384 0 2208 0 2463 0 1145 0 2647 0 755 0 274 0 460 0 2074 0 863 0 1356 0 2046 0 939 0 2084 0 1315 0 2397 0 459 0 263 0 166 0 594 0 482 0 2078 0 445 0 2490 0 368 0 2642 0 140 0 2390 0 2602 0 727 0 1432 0 2057 0 796 0 1088 0 2818 0 1457 0 2306 0 1043 0 695 0 2373 0 1789 0 2199 0 2573 0 644 0 1009 0 357 0 1851 0 1782 0 2155 0 2761 0 285 0 904 0 2715 0 2182 0 2268 0 49 0 2322 0 1770 0 1910 0 2442 0 2596 0 2879 0 2459 0 344 0 968 0 782 0 676 0 463 0 2906 0 1382 0 2721 0 754 0 2384 0 1853 0 1145 0 540 0 2800 0 460 0 1817 0 223 0 375 0 1031 0 2250 0 1437 0 1834 0 2030 0 431 0 907 0 652 0 1664 0 697 0 1470 0 1727 0 972 0 1784 0 612 0 978 0 2184 0 1464 0 1178 0 2180 0 1431 0 1783 0 1411 0 1650 0 1140 0 1160 0 1752 0 2630 0 2254 0 881 0 2237 0 2150 0 344 0 2708 0 471 0 2058 0 1473 0 1894 0 1590 0 2770 0 644 0 298 0 108 0 182 0 1488 0 2084 0 536 0 2355 0 389 0 450 0 1756 0 2721 0 1604 0 1455 0 2342 0 2724 0 1355 0 1368 0 944 0 122 0 2195 0 1536 0 634 0 52 0 815 0 1649 0 1950 0 736 0 2730 0 81 0 366 0 1470 0 370 0 573 0 1070 0 547 0 2337 0 2455 0 2479 0 1198 0 2563 0 1092 0 2509 0 938 0 2529 0 2003 0 1667 0 2030 0 609 0 1392 0 956 0 291 0 1897 0 2349 0 1436 0 108 0 2599 0 245 0 2649 0 2370 0 1444 0 448 0 1300 0 2455 0 386 0 205 0 2133 0 1322 0 830 0 500 0 935 0 2898 0 2633 0 862 0 197 0 565 0 1924 0 2913 0 1730 0 508 0 2655 0 403 0 766 0 238 0 1641 0 1437 0 671 0 293 0 2134 0 2545 0 1774 0 740 0 1252 0 1011 0 203 0 1912 0 1965 0 1664 0 2749 0 2858 0 2216 0 2605 0 174 0 787 0 1117 0 1696 0 280 0 1607 0 2375 0 1270 0 316 0 1256 0 1419 0 2848 0 468 0 2246 0 677 0 851 0 2112 0 971 0 2688 0 2475 0 1813 0 534 0 2114 0 1448 0 1519 0 2099 0 1663 0 2707 0 2032 0 2412 0 245 0 2691 0 1057 0 1975 0 2472 0 2985 0 1993 0 1714 0 2772 0 289 0 348 0 414 0 982 0 2377 0 230 0 331 0 2022 0 1498 0 2 0 2470 0 2266 0 777 0 2926 0 196 0 2636 0 1286 0 2591 0 2374 0 1366 0 149 0 178 0 2826 0 674 0 984 0 982 0 1475 0 1146 0 415 0 1331 0 301 0 1898 0 758 0 980 0 2604 0 1141 0 2202 0 2559 0 1679 0 241 0 991 0 803 0 219 0 2907 0 1898 0 600 0 929 0 2535 0 915 0 2675 0 2478 0 1733 0 174 0 1083 0 2918 0 41 0 769 0 77 0 2049 0 1758 0 2238 0 559 0 2959 0 1764 0 90 0 1929 0 309 0 124 0 80 0 1222 0 757 0 2397 0 68 0 1742 0 2879 0 696 0 1630 0 813 0 919 0 490 0 2919 0 267 0 1853 0 1213 0 1970 0 2485 0 2201 0 24 0 2702 0 2399 0 1948 0 304 0 845 0 418 0 2549 0 778 0 2808 0 1344 0 699 0 2452 0 2474 0 1038 0 352 0 580 0 2800 0 422 0 2672 0 200 0 811 0 2553 0 2885 0 503 0 2379 0 1755 0 2403 0 1717 0 467 0 1366 0 1819 0 2085 0 1582 0 1401 0 2641 0 287 0 1934 0 2511 0 1388 0 1881 0 1597 0 1216 0 698 0 1481 0 2398 0 2880 0 1353 0 2966 0 1182 0 2205 0 1237 0 1245 0 2058 0 1753 0 830 0 447 0 2950 0 1323 0 1025 0 2917 0 2479 0 40 0 2506 0 1933 0 799 0 1670 0 2607 0 369 0 663 0 1355 0 2087 0 2218 0 1954 0 2710 0 2195 0 2746 0 2205 0 2881 0 2255 0 133 0 251 0 178 0 265 0 2310 0 515 0 2439 0 228 0 1420 0 2411 0 2978 0 2986 0 508 0 507 0 1682 0 1533 0 2713 0 406 0 1874 0 1845 0 2715 0 1162 0 1168 0 117 0 895 0 1966 0 260 0 2011 0 476 0 834 0 2784 0 1658 0 1646 0 1280 0 2325 0 2078 0 888 0 957 0 2669 0 1072 0 1391 0 2782 0 2479 0 366 0 2287 0 207 0 2442 0 51 0 2237 0 1773 0 2166 0 1653 0 954 0 672 0 1145 0 2494 0 432 0 2824 0 57 0 1851 0 2336 0 2219 0 888 0 426 0 2722 0 2536 0 2108 0 861 0 2658 0 957 0 2760 0 2685 0 189 0 997 0 2957 0 2681 0 661 0 1525 0 1628 0 1138 0 1586 0 873 0 2750 0 2502 0 1829 0 1479 0 244 0 1817 0 1416 0 1858 0 185 0 2623 0 944 0 1319 0 2403 0 537 0 670 0 2022 0 749 0 2995 0 2887 0 2409 0 361 0 2264 0 814 0 1327 0 1701 0 2832 0 2140 0 1302 0 2389 0 475 0 1366 0 2613 0 2633 0 1546 0 850 0 1321 0 2476 0 2467 0 2522 0 219 0 2749 0 1580 0 2704 0 2982 0 257 0 399 0 2737 0 922 0 2211 0 2994 0 1704 0 1702 0 600 0 524 0 2059 0 1946 0 1060 0 2134 0 1074 0 1072 0 2930 0 1631 0 1316 0 2049 0 273 0 2425 0 2934 0 104 0 1707 0 631 0 1355 0 2059 0 1204 0 1772 0 1978 0 2953 0 1470 0 2791 0 2602 0 861 0 2938 0 2296 0 2960 0 1092 0 2274 0 1769 0 1910 0 647 0 486 0 1250 0 53 0 414 0 1991 0 989 0 358 0 1680 0 2522 0 1041 0 2560 0 1034 0 2722 0 697 0 535 0 2794 0 1215 0 615 0 1007 0 1617 0 1881 0 269 0 1099 0 1104 0 2436 0 1943 0 2655 0 2276 0 1339 0 1652 0 2887 0 1927 0 962 0 2145 0 970 0 1170 0 1322 0 2931 0 0 0 1578 0 99 0 2843 0 1713 0 2578 0 1458 0 445 0 301 0 1954 0 2827 0 1429 0 679 0 677 0 342 0 1489 0 1691 0 2902 0 1003 0 744 0 734 0 101 0 1675 0 1101 0 5 0 2100 0 401 0 2255 0 1161 0 1999 0 1859 0 1556 0 37 0 734 0 1550 0 216 0 1548 0 40 0 1321 0 2512 0 2962 0 2082 0 1142 0 1890 0 350 0 1074 0 2860 0 2102 0 2870 0 2517 0 1389 0 855 0 259 0 179 0 854 0 699 0 2786 0 2363 0 769 0 1707 0 851 0 1945 0 2033 0 2916 0 337 0 2028 0 733 0 1479 0 1563 0 1082 0 2793 0 2565 0 2388 0 1877 0 107 0 2793 0 2451 0 2729 0 884 0 106 0 1834 0 560 0 1194 0 1535 0 543 0 2540 0 1876 0 1128 0 2793 0 2933 0 1454 0 1096 0 2013 0 2932 0 1658 0 564 0 1903 0 2626 0 325 0 805 0 2806 0 864 0 2209 0 1568 0 1028 0 2507 0 1814 0 460 0 2803 0 1979 0 2045 0 2621 0 1372 0 2448 0 1243 0 69 0 426 0 1007 0 2202 0 1258 0 1309 0 2794 0 624 0 340 0 2373 0 1808 0 842 0 1539 0 1548 0 1845 0 2603 0 725 0 2929 0 2981 0 78 0 1506 0 1696 0 573 0 2825 0 2800 0 1015 0 270 0 2305 0 926 0 1396 0 1215 0 1624 0 1184 0 269 0 2613 0 1450 0 1123 0 6 0 1381 0 2464 0 989 0 59 0 595 0 697 0 1368 0 982 0 1857 0 612 0 345 0 262 0 2412 0 1785 0 2753 0 607 0 1433 0 2985 0 2899 0 2360 0 724 0 630 0 1333 0 2568 0 1214 0 1840 0 685 0 2492 0 1194 0 195 0 1697 0 288 0 533 0 1114 0 921 0 980 0 204 0 2887 0 1258 0 1630 0 2452 0 552 0 902 0 79 0 1752 0 1997 0 1697 0 1886 0 14 0 1963 0 1309 0 631 0 1277 0 290 0 1020 0 2319 0 2183 0 320 0 2802 0 1601 0 2750 0 1489 0 1208 0 295 0 387 0 1317 0 2228 0 899 0 562 0 1046 0 1105 0 2185 0 2534 0 651 0 1367 0 2361 0 2346 0 2011 0 1742 0 2563 0 1960 0 1981 0 547 0 224 0 126 0 2460 0 263 0 973 0 2792 0 2725 0 1527 0 1920 0 752 0 1808 0 2169 0 2852 0 2419 0 1435 0 2271 0 1601 0 2555 0 567 0 1249 0 1265 0 171 0 2173 0 2562 0 763 0 1745 0 975 0 1308 0 2223 0 1993 0 1745 0 2023 0 397 0 1965 0 548 0 1162 0 1107 0 2611 0 1039 0 2722 0 1405 0 1879 0 2645 0 1392 0 377 0 2093 0 940 0 656 0 1597 0 2426 0 27 0 2891 0 499 0 2925 0 356 0 8 0 150 0 1216 0 633 0 1589 0 2536 0 96 0 2569 0 2111 0 200 0 1980 0 2088 0 2231 0 293 0 2487 0 320 0 1195 0 1538 0 894 0 423 0 2605 0 1503 0 1969 0 576 0 1090 0 1616 0 1513 0 256 0 210 0 1619 0 2061 0 944 0 1562 0 242 0 2408 0 2584 0 1127 0 2488 0 1506 0 2939 0 644 0 2473 0 57 0 461 0 945 0 2899 0 2238 0 2208 0 2519 0 1364 0 576 0 253 0 2563 0 1367 0 1634 0 2047 0 2257 0 1022 0 1599 0 2692 0 1447 0 128 0 2042 0 1917 0 1633 0 940 0 2887 0 1545 0 910 0 1147 0 446 0 2994 0 2198 0 1318 0 458 0 766 0 2045 0 1192 0 2065 0 396 0 2840 0 2176 0 2637 0 2158 0 2717 0 2804 0 1886 0 2110 0 2559 0 617 0 16 0 2666 0 432 0 924 0 2835 0 328 0 375 1499\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 129,
        "task_id": 559,
        "test_case_id": 18,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "0 2038 0 2919 0 1883 0 1285 0 1296 0 1783 0 1517 0 1628 0 1292 0 12 0 1513 0 763 0 2789 0 909 0 2377 0 2053 0 1429 0 203 0 278 0 2949 0 1094 0 2482 0 90 0 2634 0 2042 0 2536 0 2555 0 1838 0 743 0 2174 0 892 0 1029 0 2504 0 2154 0 1451 0 733 0 2407 0 2480 0 2325 0 719 0 2124 0 867 0 913 0 665 0 2252 0 2741 0 1811 0 737 0 2750 0 2732 0 1130 0 674 0 896 0 1010 0 781 0 1613 0 773 0 2496 0 144 0 960 0 1610 0 1683 0 1154 0 1246 0 2821 0 1147 0 1684 0 707 0 346 0 297 0 1068 0 1552 0 547 0 1787 0 1875 0 196 0 2505 0 2073 0 1842 0 1497 0 1204 0 21 0 426 0 2036 0 593 0 701 0 1995 0 152 0 1053 0 2149 0 2264 0 2312 0 2224 0 2542 0 526 0 407 0 100 0 316 0 1369 0 2213 0 1342 0 947 0 1633 0 570 0 1805 0 2286 0 1013 0 2101 0 1952 0 1714 0 625 0 1808 0 1258 0 797 0 2330 0 1879 0 1643 0 2623 0 1419 0 1890 0 2975 0 2053 0 111 0 2614 0 1841 0 1412 0 1869 0 1488 0 1137 0 1164 0 1195 0 2651 0 1848 0 2573 0 212 0 2260 0 1435 0 720 0 2815 0 2561 0 2937 0 118 0 2228 0 1102 0 2929 0 1328 0 1277 0 1697 0 2676 0 1441 0 938 0 2003 0 2456 0 2803 0 751 0 2470 0 297 0 2492 0 2716 0 2886 0 2598 0 659 0 104 0 2932 0 2101 0 1185 0 1716 0 1910 0 2286 0 1809 0 1159 0 2149 0 1658 0 1776 0 2624 0 285 0 2782 0 1327 0 2265 0 1494 0 1349 0 2520 0 2943 0 2318 0 980 0 26 0 1678 0 913 0 2394 0 2379 0 1902 0 656 0 2371 0 2539 0 1472 0 2824 0 2045 0 156 0 914 0 2584 0 2033 0 1752 0 1186 0 843 0 648 0 516 0 2307 0 2656 0 2413 0 2290 0 2784 0 2198 0 2827 0 1949 0 1965 0 1861 0 2375 0 2493 0 1812 0 2515 0 482 0 2090 0 2005 0 1760 0 369 0 1876 0 151 0 230 0 172 0 1110 0 173 0 314 0 1980 0 2121 0 2371 0 487 0 1424 0 1799 0 1753 0 2385 0 4 0 1981 0 2492 0 739 0 239 0 2352 0 419 0 1748 0 883 0 2779 0 1357 0 1876 0 822 0 1043 0 1888 0 523 0 1506 0 2428 0 2744 0 703 0 2661 0 157 0 2534 0 716 0 2963 0 1053 0 25 0 1977 0 2477 0 1030 0 714 0 1405 0 2762 0 166 0 2182 0 1499 0 781 0 778 0 1188 0 1912 0 1450 0 2710 0 1575 0 1272 0 984 0 1302 0 2470 0 1828 0 2775 0 1803 0 2488 0 175 0 669 0 1183 0 1382 0 2982 0 478 0 48 0 1255 0 1396 0 1660 0 62 0 1518 0 2615 0 659 0 138 0 2276 0 1463 0 2236 0 1889 0 2557 0 278 0 2132 0 2641 0 2917 0 2220 0 2641 0 2665 0 1993 0 715 0 2146 0 539 0 2600 0 769 0 1748 0 1746 0 2841 0 1630 0 1883 0 2834 0 2959 0 590 0 1584 0 209 0 1298 0 475 0 296 0 1240 0 1674 0 2152 0 594 0 690 0 2723 0 1900 0 1257 0 2903 0 1941 0 2954 0 2159 0 2196 0 821 0 2300 0 1638 0 1202 0 1990 0 602 0 800 0 1382 0 1633 0 1342 0 333 0 124 0 2047 0 2001 0 1290 0 215 0 1961 0 570 0 2209 0 257 0 2742 0 1624 0 2301 0 1314 0 610 0 547 0 1984 0 1618 0 18 0 1422 0 2709 0 1956 0 736 0 2274 0 2710 0 2417 0 590 0 2939 0 2329 0 1310 0 146 0 495 0 1950 0 1290 0 1113 0 707 0 2834 0 859 0 75 0 2753 0 265 0 131 0 607 0 151 0 2126 0 510 0 2306 0 809 0 700 0 1788 0 839 0 1771 0 1456 0 2175 0 2454 0 539 0 1299 0 1947 0 65 0 1908 0 2743 0 121 0 1832 0 290 0 557 0 2849 0 1389 0 1981 0 1991 0 1754 0 676 0 1423 0 198 0 2812 0 1562 0 1243 0 152 0 1797 0 1006 0 2067 0 2540 0 2893 0 2587 0 488 0 2383 0 1177 0 870 0 2924 0 1940 0 830 0 476 0 23 0 452 0 1330 0 401 0 760 0 1492 0 1343 0 2368 0 2043 0 921 0 173 0 753 0 1808 0 1769 0 597 0 2536 0 2249 0 2355 0 698 0 2013 0 139 0 1611 0 2352 0 2615 0 791 0 536 0 1854 0 352 0 2244 0 2725 0 2539 0 925 0 2136 0 1643 0 953 0 2060 0 915 0 1684 0 602 0 2540 0 2736 0 2833 0 2405 0 2517 0 921 0 2554 0 509 0 2631 0 357 0 2859 0 609 0 397 0 2272 0 1567 0 942 0 2203 0 1911 0 181 0 1542 0 693 0 1956 0 2304 0 626 0 1210 0 800 0 426 0 2355 0 1990 0 2642 0 1148 0 1217 0 844 0 238 0 2714 0 2095 0 284 0 817 0 731 0 2950 0 677 0 1229 0 1089 0 557 0 403 0 120 0 540 0 2655 0 2031 0 2217 0 2323 0 2536 0 93 0 1617 0 278 0 2245 0 615 0 1146 0 1854 0 2459 0 199 0 2539 0 1182 0 2776 0 2624 0 1968 0 749 0 1562 0 1165 0 969 0 2568 0 2092 0 2347 0 1335 0 2302 0 1529 0 1272 0 2027 0 1215 0 2387 0 2021 0 815 0 1535 0 1821 0 819 0 1568 0 1216 0 1588 0 1349 0 1859 0 1839 0 1247 0 369 0 745 0 2118 0 762 0 849 0 2655 0 291 0 2528 0 941 0 1526 0 1105 0 1409 0 229 0 2355 0 2701 0 2891 0 2817 0 1511 0 915 0 2463 0 644 0 2610 0 2549 0 1243 0 278 0 1395 0 1544 0 657 0 275 0 1644 0 1631 0 2055 0 2877 0 804 0 1463 0 2365 0 2947 0 2184 0 1350 0 1049 0 2263 0 269 0 2918 0 2633 0 1529 0 2629 0 2426 0 1929 0 2452 0 662 0 544 0 520 0 1801 0 436 0 1907 0 490 0 2061 0 470 0 996 0 1332 0 969 0 2390 0 1607 0 2043 0 2708 0 1102 0 650 0 1563 0 2891 0 400 0 2754 0 350 0 629 0 1555 0 2551 0 1699 0 544 0 2613 0 2794 0 866 0 1677 0 2169 0 2499 0 2064 0 101 0 366 0 2137 0 2802 0 2434 0 1075 0 86 0 1269 0 2491 0 344 0 2596 0 2233 0 2761 0 1358 0 1562 0 2328 0 2706 0 865 0 454 0 1225 0 2259 0 1747 0 1988 0 2796 0 1087 0 1034 0 1335 0 250 0 141 0 783 0 394 0 2825 0 2212 0 1882 0 1303 0 2719 0 1392 0 624 0 1729 0 2683 0 1743 0 1580 0 151 0 2531 0 753 0 2322 0 2148 0 887 0 2028 0 311 0 524 0 1186 0 2465 0 885 0 1551 0 1480 0 900 0 1336 0 292 0 967 0 587 0 2754 0 308 0 1942 0 1024 0 527 0 14 0 1006 0 1285 0 227 0 2710 0 2651 0 2585 0 2017 0 622 0 2769 0 2668 0 977 0 1501 0 2997 0 529 0 733 0 2222 0 73 0 2803 0 363 0 1713 0 408 0 625 0 1633 0 2850 0 2821 0 173 0 2325 0 2015 0 2017 0 1524 0 1853 0 2584 0 1668 0 2698 0 1101 0 2241 0 2019 0 395 0 1858 0 797 0 440 0 1320 0 2758 0 2008 0 2196 0 2780 0 92 0 1101 0 2399 0 2070 0 464 0 2084 0 324 0 521 0 1266 0 2825 0 1916 0 81 0 2958 0 2230 0 2922 0 950 0 1241 0 761 0 2440 0 40 0 1235 0 2909 0 1070 0 2690 0 2875 0 2919 0 1777 0 2242 0 602 0 2931 0 1257 0 120 0 2303 0 1369 0 2186 0 2080 0 2509 0 80 0 2732 0 1146 0 1786 0 1029 0 514 0 798 0 2975 0 297 0 600 0 1051 0 2695 0 2154 0 2581 0 450 0 2221 0 191 0 1655 0 2300 0 547 0 525 0 1961 0 2647 0 2419 0 199 0 2577 0 327 0 2799 0 2188 0 446 0 114 0 2496 0 620 0 1244 0 596 0 1282 0 2532 0 1633 0 1180 0 914 0 1417 0 1598 0 358 0 2712 0 1065 0 488 0 1611 0 1118 0 1402 0 1783 0 2301 0 1518 0 601 0 119 0 1646 0 33 0 1817 0 794 0 1762 0 1754 0 941 0 1246 0 2169 0 2552 0 49 0 1676 0 1974 0 82 0 520 0 2959 0 493 0 1066 0 2200 0 1329 0 392 0 2630 0 2336 0 1644 0 912 0 781 0 1045 0 289 0 804 0 253 0 794 0 118 0 744 0 2866 0 2748 0 2821 0 2734 0 689 0 2484 0 560 0 2771 0 1579 0 588 0 21 0 13 0 2491 0 2492 0 1317 0 1466 0 286 0 2593 0 1125 0 1154 0 284 0 1837 0 1831 0 2882 0 2104 0 1033 0 2739 0 988 0 2523 0 2165 0 215 0 1341 0 1353 0 1719 0 674 0 921 0 2111 0 2042 0 330 0 1927 0 1608 0 217 0 520 0 2633 0 712 0 2792 0 557 0 2948 0 762 0 1226 0 833 0 1346 0 2045 0 2327 0 1854 0 505 0 2567 0 175 0 2942 0 1148 0 663 0 780 0 2111 0 2573 0 277 0 463 0 891 0 2138 0 341 0 2042 0 239 0 314 0 2810 0 2002 0 42 0 318 0 2338 0 1474 0 1371 0 1861 0 1413 0 2126 0 249 0 497 0 1170 0 1520 0 2755 0 1182 0 1583 0 1141 0 2814 0 376 0 2055 0 1680 0 596 0 2462 0 2329 0 977 0 2250 0 4 0 112 0 590 0 2638 0 735 0 2185 0 1672 0 1298 0 167 0 859 0 1697 0 610 0 2524 0 1633 0 386 0 366 0 1453 0 2149 0 1678 0 523 0 532 0 477 0 2780 0 250 0 1419 0 295 0 17 0 2742 0 2600 0 262 0 2077 0 788 0 5 0 1295 0 1297 0 2399 0 2475 0 940 0 1053 0 1939 0 865 0 1925 0 1927 0 69 0 1368 0 1683 0 950 0 2726 0 574 0 65 0 2895 0 1292 0 2368 0 1644 0 940 0 1795 0 1227 0 1021 0 46 0 1529 0 208 0 397 0 2138 0 61 0 703 0 39 0 1907 0 725 0 1230 0 1089 0 2352 0 2513 0 1749 0 2946 0 2585 0 1008 0 2010 0 2641 0 1319 0 477 0 1958 0 439 0 1965 0 277 0 2302 0 2464 0 205 0 1784 0 2384 0 1992 0 1382 0 1118 0 2730 0 1900 0 1895 0 563 0 1056 0 344 0 723 0 1660 0 1347 0 112 0 1072 0 2037 0 854 0 2029 0 1829 0 1677 0 68 0 0 0 1421 0 2900 0 156 0 1286 0 421 0 1541 0 2554 0 2698 0 1045 0 172 0 1570 0 2320 0 2322 0 2657 0 1510 0 1308 0 97 0 1996 0 2255 0 2265 0 2898 0 1324 0 1898 0 2994 0 899 0 2598 0 744 0 1838 0 1000 0 1140 0 1443 0 2962 0 2265 0 1449 0 2783 0 1451 0 2959 0 1678 0 487 0 37 0 917 0 1857 0 1109 0 2649 0 1925 0 139 0 897 0 129 0 482 0 1610 0 2144 0 2740 0 2820 0 2145 0 2300 0 213 0 636 0 2230 0 1292 0 2148 0 1054 0 966 0 83 0 2662 0 971 0 2266 0 1520 0 1436 0 1917 0 206 0 434 0 611 0 1122 0 2892 0 206 0 548 0 270 0 2115 0 2893 0 1165 0 2439 0 1805 0 1464 0 2456 0 459 0 1123 0 1871 0 206 0 66 0 1545 0 1903 0 986 0 67 0 1341 0 2435 0 1096 0 373 0 2674 0 2194 0 193 0 2135 0 790 0 1431 0 1971 0 492 0 1185 0 2539 0 196 0 1020 0 954 0 378 0 1627 0 551 0 1756 0 2930 0 2573 0 1992 0 797 0 1741 0 1690 0 205 0 2375 0 2659 0 626 0 1191 0 2157 0 1460 0 1451 0 1154 0 396 0 2274 0 70 0 18 0 2921 0 1493 0 1303 0 2426 0 174 0 199 0 1984 0 2729 0 694 0 2073 0 1603 0 1784 0 1375 0 1815 0 2730 0 386 0 1549 0 1876 0 2993 0 1618 0 535 0 2010 0 2940 0 2404 0 2302 0 1631 0 2017 0 1142 0 2387 0 2654 0 2737 0 587 0 1214 0 246 0 2392 0 1566 0 14 0 100 0 639 0 2275 0 2369 0 1666 0 431 0 1785 0 1159 0 2314 0 507 0 1805 0 2804 0 1302 0 2711 0 2466 0 1885 0 2078 0 2019 0 2795 0 112 0 1741 0 1369 0 547 0 2447 0 2097 0 2920 0 1247 0 1002 0 1302 0 1113 0 2985 0 1036 0 1690 0 2368 0 1722 0 2709 0 1979 0 680 0 816 0 2679 0 197 0 1398 0 249 0 1510 0 1791 0 2704 0 2612 0 1682 0 771 0 2100 0 2437 0 1953 0 1894 0 814 0 465 0 2348 0 1632 0 638 0 653 0 988 0 1257 0 436 0 1039 0 1018 0 2452 0 2775 0 2873 0 539 0 2736 0 2026 0 207 0 274 0 1472 0 1079 0 2247 0 1191 0 830 0 147 0 580 0 1564 0 728 0 1398 0 444 0 2432 0 1750 0 1734 0 2828 0 826 0 437 0 2236 0 1254 0 2024 0 1691 0 776 0 1006 0 1254 0 976 0 2602 0 1034 0 2451 0 1837 0 1892 0 388 0 1960 0 277 0 1594 0 1120 0 354 0 1607 0 2622 0 906 0 2059 0 2343 0 1402 0 573 0 2972 0 108 0 2500 0 74 0 2643 0 2991 0 2849 0 1783 0 2366 0 1410 0 463 0 2903 0 430 0 888 0 2799 0 1019 0 911 0 768 0 2706 0 512 0 2679 0 1804 0 1461 0 2105 0 2576 0 394 0 1496 0 1030 0 2423 0 1909 0 1383 0 1486 0 2743 0 2789 0 1380 0 938 0 2055 0 1437 0 2757 0 591 0 415 0 1872 0 511 0 1493 0 60 0 2355 0 526 0 2942 0 2538 0 2054 0 100 0 761 0 791 0 480 0 1635 0 2423 0 2746 0 436 0 1632 0 1365 0 952 0 742 0 1977 0 1400 0 307 0 1552 0 2871 0 957 0 1082 0 1366 0 2059 0 112 0 1454 0 2089 0 1852 0 2553 0 5 0 801 0 1681 0 2541 0 2233 0 954 0 1807 0 934 0 2603 0 159 0 823 0 362 0 841 0 282 0 195 0 1113 0 889 0 440 0 2382 0 2983 0 333 0 2567 0 2075 0 164 0 2671 0 2624 1500\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 130,
        "task_id": 559,
        "test_case_id": 19,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 0 0 0 0 0 1 0 1 1 0 1 0 1 1 1 1 0 0 1 0 0 1 1 0 0 0 1 0 0 1 1 0 0 0 0 1 1 0 1 1 1 1 0 1 0 0 1 0 0 1 1 0 0 0 1 0 1 1 1 0 1 1 0 1 0 1 0 1 1 0 1 1 1 1 1 1 1 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0 0 1 1 0 0 1 1 1 0 0 0 0 1 0 1 1 1 0 1 1 1 1 1 0 0 1 0 1 1 1 1 0 1 0 1 1 1 0 0 0 1 0 1 0 1 0 0 1 1 1 0 1 0 0 1 1 1 1 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 1 0 1 0 1 0 0 1 1 0 0 1 1 1 1 1 1 0 0 0 1 1 0 0 1 1 0 0 1 0 1 1 1 1 1 1 1 1 0 0 0 1 1 0 0 1 1 1 1 0 1 0 1 0 0 1 0 1 0 0 0 0 0 1 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 1 0 1 1 1 1 0 1 0 1 0 0 1 0 0 1 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 1 0 0 0 1 1 0 0 1 0 1 1 0 1 0 0 1 1 1 1 1 0 0 1 1 1 0 1 0 1 0 0 0 1 0 1 1 0 1 0 0 0 1 1 0 0 0 0 0 0 1 0 0 1 1 0 0 1 1 0 1 0 0 1 1 1 0 0 1 0 1 1 1 1 1 1 0 1 1 1 0 0 0 0 1 1 1 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0 1 1 0 0 0 1 0 1 1 0 1 1 0 1 1 1 0 0 1 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 1 1 0 0 0 0 1 0 1 1 1 0 0 0 1 0 1 0 0 1 0 1 0 0 1 1 1 0 1 1 0 0 0 0 0 0 0 0 1 1 1 1 0 1 0 0 0 1 1 1 0 1 1 0 1 1 0 0 1 0 0 0 1 1 0 0 0 1 1 1 0 0 0 0 1 1 0 0 0 1 1 0 0 1 0 0 0 0 0 0 1 0 1 0 1 0 1 1 1 0 1 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 1 0 0 0 1 0 0 1 0 1 0 0 1 1 1 1 0 0 0 1 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 0 0 1 1 1 1 1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 1 0 1 1 0 1 0 0 0 1 1 0 1 1 0 0 1 1 1 0 0 1 1 1 0 1 0 1 0 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 1 0 1 0 0 1 1 0 1 0 1 1 0 0 1 0 1 0 0 0 1 0 1 0 0 1 1 0 1 0 1 0 0 1 1 1 0 1 0 1 0 0 1 0 1 1 0 0 0 1 0 1 1 1 1 0 1 0 1 1 0 1 1 1 0 0 1 1 0 0 0 0 1 1 0 0 0 0 1 0 1 0 0 0 1 0 1 1 1 0 1 0 1 1 1 1 0 0 0 1 1 0 1 1 0 1 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 1 1 1 0 1 0 0 1 1 1 1 0 0 1 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 1 1 0 0 1 0 1 1 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 1 0 1 1 1 1 0 1 1 1 1 1 0 0 1 1 0 1 0 0 1 1 0 0 1 1 1 1 0 1 1 0 1 1 0 1 1 1 0 0 0 1 0 0 0 1 1 0 1 0 1 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 1 1 0 1 1 1 1 1 1 0 0 1 0 0 0 1 0 0 0 1 0 1 1 0 1 0 1 0 1 1 1 1 0 1 1 1 1 0 0 0 1 0 0 1 1 0 1 0 0 0 1 1 1 0 0 0 1 0 1 1 1 1 0 0 0 1 1 1 1 0 0 1 1 0 0 1 0 1 1 1 1 1 1 1 1 0 1 0 1 0 0 1 1 1 1 1 0 0 0 1 0 1 1 0 0 1 0 1 0 0 0 1 0 1 1 0 1 1 0 0 1 0 0 0 0 1 1 0 1 1 0 0 0 1 0 1 0 1 0 0 0 0 1 1 1 0 1 1 1 1 1 1 0 1 0 0 0 1 1 1 0 0 0 0 0 1 1 0 0 1 0 1 0 0 0 1 0 1 1 1 1 0 0 0 1 0 1 0 1 0 0 1 0 1 1 1 0 0 1 0 0 1 0 1 0 1 1 1 1 0 0 1 0 0 1 1 0 0 1 1 1 0 0 0 1 1 1 0 0 1 0 0 0 0 1 1 1 1 0 0 0 1 1 0 0 1 1 1 1 0 1 1 0 1 0 1 0 0 1 1 0 0 0 1 0 1 1 0 1 1 0 1 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0 0 1 1 1 0 0 0 0 0 1 0 0 1 0 1 1 0 0 1 1 1 0 1 0 0 1 1 0 1 1 0 1 1 1 0 1 0 0 0 0 1 1 1 0 0 1 0 0 1 1 0 0 1 1 0 0 1 0 1 0 0 1 1 1 1 0 1 1 0 1 0 1 0 0 0 0 1 1 0 0 1 0 1 1 1 0 1 0 0 1 0 0 1 0 1 0 0 1 0 1 0 1 0 1 1 1 1 0 1 0 0 1 0 0 1 1 0 0 1 0 1 1 1 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 1 1 0 1 1 1 1 1 0 0 0 1 0 1 0 0 1 1 1 0 0 0 0 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1 0 0 0 0 1 1 1 0 1 1 0 1 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 1 0 0 0 1 0 1 0 0 1 1 1 0 0 0 0 0 1 1 1 0 1 1 1 0 0 0 0 1 1 1 1 1 1 0 0 0 1 1 0 1 1 0 1 1 1 0 0 1 1 1 0 0 1 1 0 1 0 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 1 1 0 0 1 1 0 1 0 0 0 1 1 1 1 0 0 1 0 1 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 1 1 1 0 0 1 1 1 0 1 1 0 0 1 0 0 0 1 0 0 0 0 1 0 0 1 1 1 0 0 1 0 1 1 0 1 1 0 0 1 0 1 1 1 0 1 1 0 0 1 0 0 1 0 0 0 1 0 0 1 1 1 1 1 0 1 0 1 1 0 1 1 0 0 0 0 1 1 1 0 0 1 1 0 1 0 0 0 1 0 1 1 0 1 1 1 1 1 0 1 0 0 0 0 1 1 1 1 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 1 1 0 0 1 0 0 1 1 0 1 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0 1 0 0 1 0 1 0 1 0 0 1 0 0 1 1 1 1 1 0 0 1 0 0 0 0 0 1 0 0 1 1 1 1 1 0 1 0 0 1 1 1 0 1 0 1 1 0 0 1 0 0 1 1 0 0 0 1 1 0 1 0 0 1 1 1 0 1 1 0 1 0 1 1 1 1 0 0 0 1 0 0 0 0 0 1 1 0 0 1 1 1 1 0 0 0 0 0 1 1 1 1 1 0 1 1 0 1 1 1 0 1 1 0 1 1 1 1 0 0 0 1 1 1 0 0 1 1 1 0 0 1 0 0 0 1 0 1 1 1 0 1 1 0 1 0 0 0 1 1 0 0 1 0 1 0 1 1 0 0 1 1 1 1 1 1 0 1 1 1 0 0 1 0 1 0 1 1 0 1 0 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 0 1 0 1 1 0 0 0 0 0 0 0 0 1 1 0 1 1 0 1 1 0 1 1 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 1 1 1 1 0 1 1 0 0 0 1 0 1 1 1 1 0 1 0 0 0 1 0 0 1 1 0 0 1 0 1 1 0 1 1 0 0 0 1 1 1 1 1 1 0 1 0 0 1 0 1 1 0 1 1 1 0 1 1 0 0 0 1 1 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 1 1 0 1 1 0 1 0 0 1 0 1 1 0 1 0 1 1 1 0 0 0 1 0 1 0 1 0 1 1 1 0 1 1 0 1 1 1 1 1 0 0 1 1 0 0 1 1 1 1 1 0 0 1 1 0 1 0 1 1 1 0 0 0 1 0 0 1 1 0 0 0 1 1 0 0 1 1 0 0 0 1 0 0 0 0 1 1 1 0 0 0 1 0 0 1 1 0 0 0 0 1 0 1 0 1 0 1 1 1 0 0 0 0 1 0 0 1 0 1 0 0 1 1 1 0 1 0 0 1 1 1 0 1 0 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 1 0 0 0 1 1 1 0 1 1 1 0 0 0 1 1 1 0 0 0 0 1 0 0 0 0 0 1 1 1 0 0 0 1 0 0 0 1 1 1 1 0 0 1 1 0 0 0 1 0 0 0 1 1 0 0 1 0 1 1 1 1 1 0 0 0 1 1 1 1 0 0 0 1 0 1 0 1 1 1 1 0 0 0 0 1 0 1 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 1 1 0 0 1 0 1 1 0 0 1 0 1 0 0 1 0 0 1 1 1 1 0 0 0 0 0 0 1 0 1 0 0 0 0 1 1 1 1 1 1 0 1 0 1 1 0 1 1 0 1 0 1 0 0 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 1 1 1 0 1 1 1 1 1 0 0 1 1 0 0 1 1 0 0 1 1 1 0 1 0 0 1 0 0 1 0 0 1 1 1 0 1 0 0 0 1 0 0 1 1 1 1 0 0 0 1 0 1 0 1 1 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 1 0 0 0 1 0 0 0 0 0 1 1 1 0 1 1 1 0 1 1 0 1 1 1 1 1 0 0 1 0 0 0 0 1 0 0 1 0 1 0 0 0 0 1 1 0 0 0 1 1 1 0 1 0 0 0 0 1 1 1 1 0 1 0 1 0 0 1 1 1 0 0 0 0 0 1 1 0 1 0 1 1 1 0 0 0 1 0 1 1 1 0 0 0 0 0 1 1 1 0 0 1 1 1 1 1 0 1 1 1 0 0 0 0 1 1 0 1 1 1 0 1 0 1 1 1 0 1 0 1 0 0 0 1 1 1 0 0 0 1 0 1 1 1 1 1 0 0 1 1 0 1 0 0 0 1 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 0 1 1 1 1 1 1 1 0 0 0 1 0 0 0 1 1 0 1 1 1 1 1 0 0 1 0 1 0 1 0 1 0 0 0 1 1 0 1 0 1 0 1 0 1 0 0 0 0 1 0 1 1 1 0 0 0 0 1 0 1 1 0 1 1 1 1 0 0 0 0 1 0 0 1 0 1 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 0 0 0 1 0 1 1 1 1 0 0 0 1 0 1 0 0 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 0 1 0 1 0 0 1 0 1 1 1 0 0 1 0 1 0 1 1 1 1 0 1 1 0 1 1 1 1 0 0 0 0 1 1 0 0 1 1 0 1 1 0 0 0 0 0 1 0 1 1 0 0 1 1 1 1 1 0 1 0 1 1 0 0 0 0 1 1 1 0 0 1 0 1 0 0 1 0 1 1 1 0 1 1 0 1 1 1 0 1 1 1 0 0 1 1 0 1 0 0 0 1 0 0 0 1 1 1 1 1 0 0 0 1 0 0 1 0 0 0 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 0 1 0 1 1 0 1 1 1 0 1 0 1 0 0 1 0 1 1 1 0 0 1 0 1 1 1 1 0 1 1 0 0 0 0 0 1 0 0 0 1 1 1 0 0 1 0 0 0 0 1 1 1 1 0 0 0 1 1 0 1 0 0 1 1 0 0 0 0 0 0 1 0 1 1 1 0 1 1 1 1 0 1 1 0 0 1 1 1 1 1 0 1 0 1 1 0 0\n",
        "output": "0 155 2050 471 1277 1531 2687 2258 1200 1299 2907 1119 1480 981 366 2284 2316 2036 2759 2684 2040 488 1055 2977 1284 1030 2336 2991 1753 303 232 2756 563 2545 905 1650 568 1388 2377 2805 1412 464 1570 2614 2725 2091 1789 1475 2985 1377 2543 1005 869 2189 2068 2428 1135 600 1200 1579 127 587 765 347 2076 2377 1639 2731 2061 927 2882 2459 2092 361 2681 773 276 90 2910 2846 1453 1846 2355 597 557 224 1950 2217 1440 2523 77 2122 1783 1265 1136 317 2332 415 1533 920 132 2368 1506 2856 1362 113 760 2115 980 8 1929 148 853 1377 2439 431 1776 719 358 2098 1781 822 2338 2899 2431 194 1527 950 192 1753 105 2879 2750 246 2306 1916 1355 2405 1866 2179 2770 196 2940 2673 1524 2785 2530 1759 2408 2675 210 2826 1137 237 2985 2411 620 92 950 1437 1257 512 264 2753 2026 1909 1561 230 2636 1973 2880 1008 2663 916 378 2662 213 1342 430 699 2587 1738 1563 632 2303 721 1288 453 407 2586 2495 504 723 351 1416 2466 1252 2453 2279 2027 2171 475 305 1197 550 1072 2998 1912 1704 1487 1902 692 703 2187 1900 367 2528 2319 486 294 2976 2343 58 1137 2163 1487 1537 2827 1626 474 1857 1154 1419 624 1566 2548 1719 1862 1586 1883 1410 1717 534 379 2832 1672 779 349 2490 2170 1712 2740 1743 1895 1769 2488 445 2857 315 440 1638 2636 2518 2293 147 26 105 1636 2410 2328 1729 1499 1126 70 982 2296 1624 2571 704 1787 846 1274 2341 2763 1096 1033 594 1141 2560 123 1011 1292 1483 681 240 2846 793 1665 2435 1756 20 2924 1188 1332 2404 1457 1050 2633 1897 2778 705 578 1880 1661 2595 2249 978 464 2740 262 2677 1532 810 2810 974 421 706 1740 2094 1247 1094 2642 1917 2719 2179 2356 1237 1851 1490 2964 2787 2358 1544 2761 63 2916 2898 1010 890 1879 169 601 1005 2694 1226 2357 122 1287 1053 1887 1602 407 1648 1354 2816 1904 2881 2843 149 1794 2311 2712 2414 2728 1789 1820 346 1958 1709 168 1865 1631 1132 1112 600 1102 2484 56 1570 2603 2859 1505 146 1754 1653 2595 500 1496 2984 1034 2538 85 653 136 1021 1202 1266 1016 1946 1337 2035 1159 883 589 2975 1663 2173 1551 2958 1354 2489 1527 2071 643 690 1480 1074 1455 1651 752 2698 1948 2607 2959 557 2191 2200 2643 2475 2791 861 783 1430 1229 1113 2897 1539 2489 2080 2777 2616 70 2169 1183 2776 1223 261 2233 2377 1219 1340 2504 2491 1503 56 230 661 2594 2358 811 205 753 922 1004 2265 1228 2009 1859 1995 2754 298 1081 2077 728 1825 1780 1824 1926 560 2506 1806 1227 2487 84 1217 1064 1722 2524 382 2890 1861 2260 2898 1331 1439 2701 1330 1632 2648 2489 1313 1203 1416 1504 2345 1679 1700 2142 1751 894 2464 2875 1268 2733 137 1307 1792 1913 2677 720 1496 98 845 899 386 2741 225 1110 2909 2808 1278 1960 1323 945 1608 1261 2822 1056 1803 1373 2308 103 640 73 1660 897 1154 2596 2938 381 2733 1371 1914 2123 1812 693 361 2108 2552 540 1079 1441 830 2133 1369 437 1364 891 1167 844 1195 388 1915 2257 2019 1862 1388 2426 903 742 1316 573 1818 2865 632 307 972 262 2338 2455 2983 1651 97 625 1572 276 2417 2981 1440 40 879 2408 720 1541 2696 962 1883 2117 1564 1315 542 1107 97 974 1874 1048 466 1406 1397 1497 351 1149 1579 2937 466 1705 2171 197 1318 1060 1890 2060 1609 2138 94 39 1824 1422 1831 1115 2668 696 1448 49 1648 896 1771 72 2602 2081 1086 1626 2117 1316 2477 793 1588 1577 1925 723 992 1102 176 2028 2466 2906 1476 9 718 771 1561 1598 717 1380 1344 2204 1733 2799 620 2127 1213 2660 2769 1177 2684 2914 2620 656 1996 180 128 1545 926 1275 1650 2455 910 1973 586 1384 250 2101 260 577 1213 1961 1119 2611 2491 86 2248 1180 214 748 1463 1285 1832 2808 457 909 1444 1368 2414 2392 2508 2677 965 1136 2869 1441 401 1871 1023 1953 2002 387 278 2790 1946 2271 539 30 357 534 2895 2088 507 1916 2048 1899 1580 1483 65 2304 1837 2573 49 1891 288 2324 2672 1745 1390 1354 1621 2761 282 330 37 1591 2025 417 69 1578 1209 520 2311 1588 2164 2452 229 1424 2606 17 1431 1238 1992 2830 717 2916 1144 1304 2030 1628 2165 2648 2395 2277 1431 601 2738 579 2898 2520 970 506 2937 1601 6 958 835 2265 1249 312 2311 1609 2315 83 2053 920 1161 1504 434 2197 1643 411 2944 1721 96 1967 1503 2822 497 2146 2036 375 735 370 133 1666 577 2970 1591 2795 1523 2338 2973 2464 2945 2689 810 941 1984 1621 2179 240 1969 2570 2693 1773 998 1472 1338 586 1914 1534 2664 2663 879 2653 763 2526 1063 1302 2012 510 1972 1240 416 1569 1749 1352 725 2156 1946 542 191 964 2289 2287 2819 571 1075 933 1680 2149 2858 2488 1911 949 2638 2185 266 1115 1850 688 2885 1272 1133 108 1288 976 2944 1780 107 2542 2501 2428 2246 445 2179 357 1169 2959 115 519 291 217 1698 2649 2160 1875 909 2423 868 252 1694 1399 2820 745 2951 2763 583 1132 2069 265 1069 2236 2268 2873 1063 1425 1097 829 1054 1912 60 2352 21 2322 1056 1657 1611 2969 1291 410 1928 889 2879 1857 2840 2384 180 408 1326 219 1930 1378 689 3 2631 1734 2068 478 1631 771 551 1492 1407 2483 676 2028 1009 1020 1418 763 730 2647 2758 1546 1513 497 1814 568 2497 1283 989 770 2978 1648 431 2141 2991 1494 773 116 1424 190 112 475 2870 2046 1216 2992 1125 929 2969 252 2608 1371 741 1784 1105 1104 2280 2903 2959 1102 2882 328 1597 1472 2991 1832 2421 1290 1963 869 234 569 2978 2273 614 1935 333 1845 1646 385 538 2940 1903 2008 1240 658 480 2457 753 460 66 2054 1276 2940 322 262 2078 1070 1755 2479 2163 2237 1181 2307 514 1391 1780 359 1041 1233 1601 2240 2519 27 1888 2053 902 1984 1573 2742 135 646 2687 1301 1247 1969 1943 2852 1338 2608 65 2862 113 1054 1110 622 134 185 1134 1143 1274 2688 376 274 1657 2103 882 2437 380 280 1121 1166 1087 2328 1755 723 642 1435 2018 2960 1065 473 2417 2970 2365 2933 457 1890 2298 1695 2731 1850 2119 2116 2933 1855 751 2080 2965 1499 2944 451 2434 2482 1107 2617 2639 1120 2660 2649 535 2373 2780 14 678 2107 1133 847 1329 805 900 2329 2777 2406 1960 211 1965 2937 1703 2328 267 833 692 1259 2464 2746 2179 1326 2799 1301 810 524 1722 2655 2592 2228 1685 2699 1347 166 2612 1353 2606 949 840 1764 66 613 2992 707 783 2711 1541 2693 314 132 319 2288 969 2082 2175 2151 1257 586 165 2019 2368 2730 1689 1545 1499 1432 73 2983 2906 837 2015 1161 2332 1665 2525 2698 789 1958 1691 1233 2969 2395 2142 130 2218 520 1597 1309 400 2110 1521 1303 2614 1226 605 2456 2254 1067 314 942 634 495 763 1714 266 2945 2466 29 2321 641 173 313 1434 1032 295 0 1828 1046 2150 652 2193 1487 1472 1358 2571 167 1831 2606 2656 1751 1730 2296 60 141 535 2176 1630 445 2478 2500 803 131 972 2765 952 2325 748 473 91 183 1391 1038 334 648 1520 1523 2540 2183 832 1242 858 1523 1137 568 1026 1205 2172 1862 1067 171 11 1530 2009 1235 2262 1673 151 244 2365 2207 2048 2373 1958 22 2580 674 1540 1302 2342 1178 2950 39 224 313 2622 1415 1628 207 2633 2491 122 2273 162 2778 1602 2777 107 246 861 2569 2151 407 2955 2232 2577 255 257 1845 948 1776 924 12 501 118 396 2334 1304 2875 1336 2242 30 100 2534 620 1338 2303 1613 369 733 719 917 1077 623 2529 1365 1099 2594 1768 1819 829 2686 2053 2556 2184 423 1775 285 570 925 2682 2702 1104 2371 2474 1116 44 449 2684 751 907 2311 378 2111 1447 684 2929 2727 2607 326 1971 802 2354 2233 1468 2578 2741 2233 753 1956 143 2761 2456 2607 2417 2325 2660 1764 2421 1876 2746 2271 1743 1219 1001 2094 1048 1966 376 490 1788 1245 780 1813 2237 1099 2952 2504 2024 881 2089 433 2792 2708 1549 2923 2306 1194 90 2427 2936 2598 1931 2915 886 1158 676 603 2029 1333 799 2573 2884 1553 1116 2431 726 946 1656 1067 150 40 2777 1942 155 1824 327 1168 539 2046 1176 1264 1775 419 1732 214 2098 2458 2884 778 2845 801 1169 2922 2046 2397 2019 1248 1107 1994 2197 1010 145 1516 2876 1413 2938 477 1965 2898 778 2203 2010 1432 1701 1868 930 2115 1359 2348 434 2836 618 1472 2735 1791 1643 2189 2628 2245 2663 2008 331 1729 30 1459 723 866 1443 752 2186 811 2051 71 2994 1169 1942 1719 1158 1421 107 2906 615 75 448 900 2445 2974 2028 905 1352 106 1050 2117 831 1182 2577 2927 2570 2601 1849 2344 2956 2252 2289 105 2625 1631 1884 2762 2103 1109 2209 23 131 255 3 688 295 1140 2396 998 1294 2404 2308 1229 671 2657 239 1480 1562 632 2302 2332 2664 796 934 620 1555 2955 1411 15 1498 2297 1929 1612 1320 743 2374 992 1573 467 1606 763 575 2743 1097 2611 2787 2965 2044 427 116 430 117 85 1146 1168 1620 746 2209 1525 730 1140 646 2218 1632 756 1409 1797 1152 1865 2924 2781 2079 1209 884 263 1182 138 2570 1554 2336 1273 1293 175 13 777 612 44 2029 148 618 2743 2293 1075 567 772 1944 730 2445 1380 781 2393 2177 2255 2616 784 1548 2236 1309 2218 2277 579 102 2860 1070 2040 2237 2646 2631 1325 2086 1137 1050 2944 2552 2825 246 2150 2090 2000 574 1859 179 634 565 1694 45 1321 2192 1228 1549 760 2473 2429 782 2264 2116 918 1510 995 1714 813 657 1865 16 1167 2987 1961 2136 1570 1271 1579 2086 2796 1559 1236 1749 1500 2744 1927 2784 2113 310 2247 2408 730 2426 276 310 577 1246 729 946 14 957 1148 844 2602 1476 845 501 2409 750 1109 1494 509 1608 959 2164 154 1219 2727 2249 2478 2205 2913 1832 1438 2304 420 2073 1317 1156 628 1980 2372 538 2401 250 1838 2072 1408 2894 482 2975 1933 2761 2808 1637 1163 1183 2750 2729 2609 1931 2694 345 1756 2970 2069 2095 1480 1411 2419 1409 1172 946 1813 2974 1858 2580 2478 926 1644 1657 1296 1420 1032 1515 2729 1077 1420 1224 685 2664 754 448 1132 2415 168 2606 2800 1708 1569 1131 429 2558 2580 2766 845 1459 1849 1385 262 1276 750 632 2590 170 2419 1814 69 1078 2923 1008 2643 1848 322 345 2939 1688 408 1622 2281 910 2189 1368 348 1200 50 1252 2972 162 2148 2830 725 2779 13 1129 912 2515 1029 984 2804 651 2492 573 1407 2916 820 2938 2617 1201 2548 708 2728 1774 1129 767 2865 2038 880 2441 1505 982 2015 2824 878 2846 1454 2023 1217 349 835 1605 2005 2581 1801 2716 1455 1643 424 677 1813 1137 975 1816 2471 943 1419 1467 123 2867 1463 789 2086 1122 1824 2889 2098 253 2118 1368 2408 450 1325 951 1275 2382 57 2671 165 2839 961 2623 1083 2775 2292 1377 1130 148 2836 1852 1877 1010 2640 2367 927 2245 964 2569 1307 2455 676 2524 1464 2600 149 2035 2098 50 271 283 2501 1081 799 914 2121 577 1078 2102 1041 2055 1440 2001 106 8 828 804 144 104 1351 1032 1217 1593 2794 2710 1557 1892 1967 1921 1942 1552 80 1211 1903 762 2913 1213 2531 1014 2074 1793 241 2151 1444 898 354 2433 2030 1662 1318 2611 936 878 162 1385 2106 473 943 2815 16 2953 735 2107 2242 596 306 2410 1231 1419 901 506 145 2032 572 306 2814 1026 935 880 2026 1922 378 2944 1326 208 220 103 2338 80 1190 714 2889 371 103 1401 756 2969 2278 869 2269 392 351 2717 1730 2675 208 2581 1885 1544 1771 1771 2856 170 1587 810 2443 383 548 1866 1024 682 1385 1704 2852 311 1684 916 1903 2314 2954 2425 642 578 2004 2606 248 2481 1378 2294 281 1308 1673 2725 2384 1051 163 581 1693 2784 281 2706 1751 1068 1828 2659 566 1820 2191 1484 1063 123 2181 202 465 210 12 2981 2013 1538 80 1615 314 2861 644 1011 2748 1469 1380 1557 2774 816 1069 1526 2169 72 237 1720 1006 1606 1879 1370 1763 2496 1875 367 1360 1420 1049 2838 2359 2268 735 2108 703 2737 2908 2979 442 1638 2846 2030 2892 1299 562 8 2758 1522 984 1924 1512 1791 1126 826 296 1644 182 1188 2742 226 522 322 721 215 1806 1884 2262 796 937 2742 713 63 2137 2489 357 2116 796 2247 739 2395 2548 2400 450 2836 1227 1503 80 2523 1425 744 378 2476 2974 659 1735 1394 144 2825 2312 2828 2986 1289 2409 218 408 2448 1719 1697 2225 688 2835 1194 911 2975 168 2196 967 2002 2607 1196 1411 1261 1394 293 126 1838 24 358 1437 1488 2050 1673 2373 1041 888 802 197 1737 793 2782 173 2657 1087 2198 1572 2586 2685 873 1053 2096 489 2626 2618 586 1496 1456 2022 1022 2796 1779 1406 1314 2849 2921 1730 1893 315 2760 2213 313 2107 1672 2681 295 809 2881 2529 1994 2257 262 566 1527 1740 1923 666 640 2419 2982 2067 2472 2104 2234 1792 434 101 936 2692 1211 1052 1312 188 2114 2709 1857 788 1367 407 1202 2409 2593 867 2567 413 657 2024 2015 1036 2005 2742 1792 1281 1747 94 753 2078 2577 716 1086 2216 2396 1089 1706 1551 1877 2412 880 1767 546 199 2046 1294 700 2658 83 173 503 1446 2882 1488 198 2487 1133 1584 543 1951 1624 1220 2492 330 1184 2997 179 562 2440 1776 2407 2647 147 1368 1396 1283 581 1835 1234 1469 2346 2857 2323 2331 2773 2869 2191 343 2829 849 422 806 696 121 1099 729 1429 2034 2387 2810 1108 2680 251 1217 407 1737 613 1632 1404 1872 630 2802 1983 2984 1874 670 1392 2948 1542 1493 1283 1528 551 1080 170 498 1667 1761 1842 1034 715 2841 573 2624 2695 2635 2169 2920 2436 974 1394 220 1863 1271 2199 654 925 2394 2485 2074 613 1342 759 390 2990 1776 11 1980 1692 2571 664 2340 2241 2743 1421 1320 568 1018 1669 859 611 2914 1572 309 1650 2449 570 621 1008 472 1125 264 1809 137 2973 1470 2237 515 2802 349 2864 864 151 1549 2251 492 2265 2938 2866 316 2662 205 782 1501 1852 774 1534 1423 2569 628 597 1586 2531 1378 2992 1513 1670 451 25 1343 1348 404 928 1373 728 816 1976 2339 25 739 370 1768 1613 2988 2876 729 2374 927 1062 2005 2884 38 860 1368 2917 2303 1329 453 1320 1603 2236 1331 585 1949 1327 1384 2997 1282 1923 2393 242 688 1753 2580 241 1839 2747 2342 749 1441 1908 968 1927 877 2004 2106 1138 2972 116 336 1211 2683 2342 895 2925 738 690 1256 1748 108 1518 347 2031 641 1697 1325 2132 1302 2486 2247 50 2379 554 2958 250 1673 2379 986 2553 324 1751 1230 1943 1718 908 2755 340 22 569 2337 1420 2900 2403 2743 1641 2764 913 1412 1667 565 2186 2482 1600 426 433 2327 2932 790 269 2105 1072 2739 2762 819 2190 2849 2472 776 1707 817 1039 297 245 1857 2833 1312 2154 480 1700 2587 387 2468 2473 294 601 450 1522 931 96 1344 2085 2653 1358 304 2136 1299 733 525 1187 2947 751 526 2506 2256 1043 494 2654 2283 1125 2599 1853 1740 1247 2935 2826 1788 331 416 186 1790 1749 1310 314 643 1806 1583 2467 2125 905 1296 2890 1201 1363 1909 1373 458 995 1609 432 2363 2246 1063 1899 2181 2565 365 2397 2151 234 1345 2544 1636 2451 391 652 140 1920 2708 1889 1181 2694 757 564 1554 2773 2418 1151 2672 122 2399 2330 1192 911 1687 1653 2256 386 1724 1853 1188 1242 838 859 432 752 2249 1298 200 1679 653 2893 2868 25 2006 2441 783 704 2544 1485 2111 227 1120 2659 2634 1286 1209 1855 1532 2671 1417 2776 1042 1265 1832 2468 2888 2679 1000 2507 1365 444 1778 256 167 716 889 1302 566 1778 2551 1599 2350 311 470 574 2583 2191 218 2910 2305 2672 2753 2405 1260 2905 160 952 956 1974 2250 662 2105 2912 911 1954 1748 397 1873 2928 2371 2594 694 915 1493 674 1202 1841 1335 705 2715 2438 2504 2229 2419 384 1617 498 2134 2586 692 2289 2138 10 2344 2854 1561 1527 1534\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 131,
        "task_id": 559,
        "test_case_id": 20,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 0 1 1 0 1 0 0 0 1 1 1 1 1 1 1 0 0 0 1 1 0 1 1 1 1 1 1 0 1 1 0 1 1 1 0 1 1 1 1 0 0 1 1 1 1 0 1 1 1 0 1 1 1 1 0 1 0 1 1 1 0 0 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 0 0 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 0 1 0 1 0 1 1 0 0 0 1 1 1 1 1 0 0 0 0 1 1 0 0 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 0 0 0 1 1 0 1 1 0 0 0 1 1 1 1 0 1 1 1 1 0 1 1 0 1 1 0 1 1 0 1 1 1 0 1 1 0 0 0 1 1 0 0 1 1 1 0 1 1 0 0 1 0 1 1 0 1 0 0 1 1 1 0 1 0 1 1 1 0 0 1 1 1 1 0 0 1 1 0 0 1 1 1 1 1 0 1 0 1 1 0 1 1 1 0 0 0 1 1 0 1 0 0 0 0 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 0 1 1 1 1 0 1 1 1 1 0 1 1 1 0 0 0 1 1 0 1 0 0 1 0 1 1 1 1 1 1 0 0 1 1 1 1 0 1 0 0 0 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 0 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 0 0 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 0 1 0 0 1 1 0 1 1 1 1 0 1 1 0 0 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 0 1 1 1 0 1 0 0 1 0 1 0 1 1 0 1 1 0 0 1 1 1 0 0 1 0 0 0 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 0 1 1 1 1 1 1 1 1 0 1 0 1 0 1 1 0 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1 1 1 0 0 1 1 1 1 0 1 0 0 0 0 0 1 1 1 1 1 1 1 0 1 1 0 0 1 0 0 0 0 0 1 0 1 0 1 1 1 1 0 0 0 0 1 0 1 0 1 0 0 0 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 0 1 1 0 1 0 1 1 0 0 1 1 1 1 1 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 1 1 1 0 0 1 0 1 1 0 0 1 1 1 1 0 1 0 1 0 0 1 1 1 1 0 1 0 1 1 0 1 1 0 1 0 1 1 1 1 0 1 1 1 0 1 1 1 0 1 1 1 1 0 1 1 1 0 1 1 1 0 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 0 1 1 1 1 1 1 0 1 0 1 1 0 1 0 1 1 1 0 1 0 0 0 1 1 0 0 0 1 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 0 1 0 1 1 1 1 0 0 1 1 1 0 1 0 1 0 1 0 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 0 0 0 0 1 1 0 1 1 1 1 1 0 1 1 0 1 0 1 0 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 0 0 1 1 1 1 0 1 0 1 1 1 0 0 1 1 1 1 0 1 1 0 1 0 1 1 0 0 1 1 1 1 0 1 0 1 0 0 0 0 1 0 1 1 0 0 1 0 0 1 1 1 1 0 1 0 1 1 1 0 0 1 0 0 1 0 1 1 0 0 1 1 0 1 1 0 1 1 0 1 1 1 0 1 1 0 0 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 0 0 0 0 0 1 1 1 1 1 0 0 1 1 1 1 0 1 1 1 0 0 1 1 0 1 0 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 0 0 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 0 1 1 0 1 1 0 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 0 1 1 0 1 1 1 0 1 1 0 1 1 1 1 0 1 1 1 1 0 1 1 0 1 0 0 1 0 0 0 1 1 1 1 0 1 1 1 1 0 1 0 1 1 0 1 0 1 1 1 0 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 0 1 0 0 1 0 1 0 1 0 1 1 1 1 0 0 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 0 1 1 1 0 1 1 0 0 0 1 1 1 0 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 0 0 0 1 1 1 0 0 0 0 1 1 1 1 1 0 1 0 1 0 0 0 0 1 1 1 1 1 1 0 0 1 0 1 0 1 1 1 1 1 0 1 1 0 0 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 0 0 1 0 1 1 1 1 0 1 1 0 1 0 0 1 0 1 1 1 1 1 0 0 1 1 0 1 0 1 0 0 0 1 1 0 1 1 1 0 0 0 0 1 0 1 1 1 0 1 1 1 1 1 1 0 1 1 0 1 1 1 0 0 0 1 1 0 0 1 1 1 1 1 0 0 1 1 0 1 1 1 1 1 1 0 0 1 0 1 0 1 1 0 1 0 0 1 1 1 0 1 1 0 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 0 0 1 0 1 1 1 0 0 0 0 1 1 1 1 0 1 0 1 1 1 0 1 1 0 1 1 1 1 1 0 1 1 0 0 1 1 0 1 0 1 0 1 0 1 0 1 1 0 1 1 0 0 0 1 1 1 0 0 1 0 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 0 1 1 0 0 1 1 0 1 1 1 1 1 1 1 0 0 1 1 0 0 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 0 0 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 1 1 0 1 1 0 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 0 1 1 0 1 1 1 1 1 1 1 0 0 1 1 1 0 1 1 0 1 0 0 1 1 1 1 0 0 1 1 1 0 0 1 1 1 1 0 1 0 1 0 0 0 0 0 1 1 1 0 1 0 1 1 1 0 0 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 0 1 0 1 1 0 1 1 0 0 1 1 1 0 0 1 1 0 1 1 0 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 1 0 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 0 0 0 1 1 1 1 1 0 1 1 0 1 1 1 1 0 1 1 0 0 1 1 0 1 1 1 0 1 1 0 1 0 1 1 1 1 1 1 0 1 0 0 0 0 1 1 1 1 0 1 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 0 1 0 1 0 1 1 1 0 0 1 1 1 1 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 1 1 1 0 0 0 1 1 0 1 0 0 1 1 1 1 1 0 0 0 1 1 1 0 1 1 0 1 1 1 1 1 1 0 0 0 1 1 1 0 0 1 1 1 0 1 0 1 0 1 0 0 1 0 0 1 1 1 1 1 0 0 1 1 1 0 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1 0 1 0 0 0 1 0 1 0 1 1 1 1 0 0 1 1 1 0 1 1 0 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 0 0 1 1 1 1 0 1 0 1 0 0 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 0 0 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 0 1 1 1 0 1 0 1 0 1 1 0 0 0 1 0 0 1 1 1 1 1 0 1 1 0 1 1 1 1 0 0 1 0 1 1 0 1 0 1 1 0 1 1 1 0 0 1 1 1 1 1 1 0 1 1 0 0 0 1 1 1 1 1 0 1 1 1 0 1 0 0 0 1 1 0 0 1 1 1 1 1 0 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 0 1 0 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 0 1 1 0 0 0 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 0 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 1 0 0 0 0 0 1 1 1 0 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 1 0 0 1 0 1 1 0 1 0 1 1 1 1 0 1 1 1 1 0 1 0 0 1 1 1 1 1 0 0 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 0 0 1 1 1 1 0 1 0 1 1 1 1 1 1 0 1 0 0 0 1 1 1 0 1 1 1 1 0 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 0 0 1 1 0 1 0 1 1 1 0 1 1 1 0 1 1 0 1 0 0 1 1 1 1 0 1 0 1 1 0 1 1 0 1 1 1 0 0 1 1 1 1 0 1 0 1 0 1 1 1 1 1 0 0 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 0 0 0 1 1 1 1 1 0 1 1 1 0 1 1 1 1 0 0 1 1 1 0 0 0 1 0 1 0 1 0 0 0 1 1 1 1 1 1 0 1 1 1 1 0 1 0 1 1 1 0 0 1 0 1 0 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 0 0 0 1 1 1 1 1 0 0 0 1 0 1 0 1 1 0 1 1 1 1 1 1 1 1 1 0 0 1 1 0 1 0 1 0 1 0 1 0 0 1 1 0 1 1 0 0 1 1 1 1 0 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 1 0 1 1 1 1 0 1 0 1 0 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 0 1 1 0 1 0 0 0 1 0 1 1 1 1 0 1 1 1 0 1 1 0 1 1 1 0 0 1 1 1 1 1 1 1 0 1 1 1 1 0 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 1 1 1 0 1 0 0 1 1 0 1 1 1 1 1 1 1 0 0 1 1 1 0 0 0 1 1 1 0 1 0 1 0 1 1 1 1 1 0 0 1 1 1 0 1 0 0 1 1 1 0 0 0 1 1 0 1 1 1 1 1 1 1 0 1 1 0 1 0 1 1 1 1 1 1 1 0 0 1 1 0 1 1 0 1 1 1 1 1 0 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 0 1 0 1 1 0 1 1 1 1 1 1 0 0 1 1 0 0 0 1 1 1 0 0 0 1\n",
        "output": "1 2982 719 1371 954 2617 2397 2503 271 2931 1001 119 2099 1640 2495 346 2040 1849 1354 2253 2594 2346 638 1877 810 947 2165 2281 350 2747 1815 1107 2106 304 2704 2640 2010 2780 144 1088 726 1702 2157 1049 2168 1667 2000 1920 944 958 1235 2561 1177 802 2124 23 2923 2322 2284 510 727 1959 635 998 1378 1236 1649 202 2704 1857 492 2828 1212 1348 1371 2068 1927 1365 2020 320 283 950 920 2688 1569 764 428 1978 2461 1593 2002 2002 1218 2417 181 1851 1605 1255 2827 1905 115 1668 1315 1932 1862 2246 1313 1248 2927 1940 2748 1016 1433 188 372 611 660 2872 72 2266 460 2868 2170 265 917 2101 1018 1733 1013 1866 768 1502 2544 2867 343 321 2334 2515 2742 2686 2877 669 2418 2669 990 1201 2646 2014 2858 1661 2225 2467 445 1946 570 584 382 2885 2893 1304 1123 464 2479 2094 1564 121 2314 1777 660 1941 257 1108 220 1505 2038 2043 886 303 1864 385 1855 1692 1199 1799 1277 2253 1598 114 1964 106 2308 1189 2959 2074 635 22 2341 1 1236 1368 2560 1857 1699 1869 106 434 2745 889 1837 2135 655 382 1915 77 2087 2009 1838 1158 1972 553 1370 2150 1948 2312 433 1709 2907 1447 1876 250 318 962 706 1335 1249 1820 2110 487 250 1576 1538 2161 2526 2254 495 480 2818 2825 50 999 566 1143 5 642 884 2978 515 2149 2867 657 1919 2411 816 873 2595 495 2581 2573 1222 1356 2903 2563 816 2159 2790 1145 29 2814 637 1460 780 2910 325 1896 862 2197 323 104 872 1689 2929 1006 2952 1152 2273 1506 546 13 1037 2418 1219 2495 350 2387 2496 196 1552 196 2234 2179 2932 851 2083 1078 1645 697 2833 1658 2507 12 1564 772 1927 822 2891 1778 987 2351 1997 2109 2500 1209 2776 709 2901 2658 773 784 2740 2360 398 2327 1445 2779 1190 802 1652 1906 2202 971 2344 227 1796 602 1342 1834 1373 1153 394 1479 411 2618 963 1798 2420 1674 2028 1018 1452 2998 2582 1702 529 1015 1097 361 95 1573 603 2398 71 1488 428 1516 1655 702 723 740 417 1931 2816 1919 414 865 1470 2924 1021 2231 350 2317 2047 251 32 468 1588 522 837 306 2741 161 814 1039 656 1038 328 1946 1267 1272 384 1063 1563 2400 1060 2861 411 1057 1811 1060 1844 2850 764 2976 2599 725 2854 2698 1887 598 748 465 2916 2957 945 1926 2586 1472 2570 2696 746 1724 2937 613 2648 491 533 1634 847 2915 1459 1609 2683 1597 1072 1541 2517 516 1478 2485 1638 744 1156 2060 1644 1425 1308 2993 461 286 896 2519 1281 2665 2469 2110 2480 1833 1656 439 440 1180 1255 6 1943 38 930 1129 1931 1235 2995 543 1411 1219 1122 1642 612 2190 2856 202 385 2518 63 1015 2432 540 1318 2597 2590 1817 84 2424 2318 1931 2494 2038 1172 630 465 2721 970 2215 127 2980 2248 607 279 41 2767 1269 2558 343 2456 2613 196 1127 2599 2368 428 1241 2301 2979 2769 1706 1872 1062 2199 1085 2957 1076 855 375 1183 2232 537 672 866 614 1210 2334 2567 952 2354 999 2327 2129 2693 1459 1166 1050 943 2770 2718 1951 1302 1862 1890 2785 1291 758 998 1958 1755 2307 1222 1953 494 519 1052 743 771 1422 1776 1723 242 2831 1520 642 747 1615 974 1686 1643 2758 2467 2145 1229 577 2856 1385 966 882 2512 2744 379 2073 426 1952 2379 2865 1417 243 2567 1923 2923 2671 54 264 2430 1724 2881 812 2447 750 2263 1829 2477 81 996 1078 1536 341 387 2247 974 2131 791 2940 933 1772 546 1013 1785 2917 2710 2392 1480 2429 2228 1198 2573 1141 1758 2951 1762 2840 1698 917 1119 2316 422 304 2128 270 416 171 2217 2499 2991 1199 964 2220 2620 1578 2020 347 268 2135 501 1456 1265 1654 1565 98 1774 224 1089 1150 2084 1983 337 1474 1741 1500 708 461 2502 401 1481 981 732 282 2656 645 1961 1386 313 1276 1767 1945 1216 1428 2400 1563 178 1826 531 793 2718 2759 244 907 1753 771 1361 2174 1069 1543 304 2655 720 1403 731 2901 1926 174 2089 1871 2399 2863 1224 2336 2000 1569 1840 18 788 1600 913 1796 1848 1984 1225 2667 556 1458 77 1707 1566 363 235 824 49 2924 144 2418 2058 2907 1554 2818 1748 484 2203 1973 1941 2731 1684 2700 1453 1659 262 1378 245 1543 746 465 773 2578 1249 2825 2899 2313 1988 641 616 1305 2020 1564 1422 1458 452 1866 1342 1663 1028 355 1032 1625 661 1525 2775 1543 1344 1085 191 2172 88 644 1220 416 1775 1274 2347 1028 2206 701 823 687 1287 94 487 1674 2949 2853 900 1460 2179 899 672 344 1515 2202 426 2810 1298 2942 1209 750 1674 338 591 342 2023 756 263 1419 1925 2753 2942 2010 1740 1065 1440 1871 2960 628 1684 2197 222 1564 481 1227 1014 2350 922 2225 1656 2122 911 1793 140 1565 1385 1620 1362 1871 1687 2971 253 2600 2239 1559 977 1739 2664 1066 1606 551 2989 802 170 502 542 464 2933 646 553 769 2495 2407 1452 507 1626 1482 2948 2593 2229 297 2753 2330 1826 2055 2993 2863 452 2889 2535 2509 2889 1722 2532 1554 1924 174 409 2478 612 929 874 1601 1392 2898 1914 2262 1463 1404 1529 1804 1955 1898 2367 20 417 2774 2539 2530 2315 857 1648 739 1588 1497 2728 651 1113 614 228 2506 2031 737 721 2802 149 2281 720 873 2306 569 228 2234 2498 2427 1878 826 2170 2207 2628 660 2664 2869 1350 536 2333 1392 1514 369 339 2706 1179 2483 47 1504 1771 1854 1093 1389 2855 700 1456 870 2051 2333 1689 1901 2789 618 208 442 2748 213 2154 3 970 241 1235 812 4 1423 969 176 638 153 1471 387 1267 2128 1897 1910 541 720 796 1396 1618 512 110 2035 1896 437 2834 1475 1238 1766 596 135 953 504 2670 2560 1272 39 2965 199 1912 1870 568 1636 2618 1630 1639 302 1321 1123 563 93 1538 1689 1539 993 2782 1670 634 1771 81 2167 1337 445 2777 95 2642 2917 279 1535 1022 1092 2696 2663 1328 1034 1137 1067 2186 1369 2080 2941 80 530 1605 2976 1533 1669 2865 2261 293 1060 186 1359 64 636 2771 1115 2779 2594 867 2222 2743 518 1323 2370 2669 1846 2516 1016 699 1030 2785 2819 2711 352 686 2848 534 798 2445 514 2603 2212 1464 468 2874 1423 2863 1965 465 1553 2264 1557 2607 1224 590 1473 2159 487 800 2648 2986 165 940 1719 1703 293 2769 1893 547 314 2115 321 1746 1425 2754 979 1140 140 2482 1940 1765 1465 1990 2556 1660 1769 734 117 2074 1600 572 1157 923 929 2361 2044 1163 1875 833 1748 1647 2455 1822 248 888 2897 1287 2024 2423 25 2551 1160 102 2122 1315 1824 2457 126 1591 2460 2203 111 1321 1697 1708 154 1135 386 1428 1220 683 2172 2885 2797 856 346 738 495 715 1463 1353 981 2755 2686 467 1706 1301 266 2802 96 1995 1638 1875 2285 596 2178 2819 1736 2348 756 460 1660 1313 2176 703 2167 1132 1918 2559 2548 1368 1382 1636 917 1886 2989 676 1861 729 2450 2476 1852 1349 1371 830 1578 1755 408 2018 2827 2194 2626 263 2852 2689 2750 589 689 103 1101 1365 851 608 2833 1459 2289 1778 1674 634 769 2368 2244 1688 660 2484 1083 1615 1610 326 1622 2726 2796 2181 2341 1358 53 353 907 945 448 2552 302 2378 832 1034 1635 966 2308 2402 833 2195 2061 345 106 478 2980 502 723 1853 2781 2961 833 1030 2882 368 2136 1995 338 2235 876 1091 163 827 145 1321 2765 2788 2432 2595 123 1725 843 2634 2185 2145 139 2287 2368 1892 619 2708 2178 98 1853 2146 1393 2989 1460 1746 1854 2661 2156 1588 2207 1446 1233 566 2761 2454 293 2878 62 2286 695 786 2354 1689 2834 75 2541 332 1053 2511 1656 1644 2088 315 2689 799 1284 2053 2565 247 1173 2151 455 177 330 634 528 1611 256 450 19 3 1936 1736 1935 1321 646 2777 1270 2787 2821 2897 2904 1980 1658 1734 382 31 2016 701 1634 2973 1708 2790 1224 238 2084 162 1426 2105 1881 2272 1734 2362 131 2651 2543 2801 1283 2699 2327 1881 17 810 2998 2281 954 2619 2897 1786 1715 256 1336 242 2331 2810 174 2924 2484 2829 500 2437 147 2303 632 754 1940 495 859 525 2251 2463 2012 1497 1722 2649 2419 297 2720 2574 818 885 2367 753 2432 2236 395 731 2768 1491 2842 1505 904 1280 1621 1993 453 2200 1379 1919 2960 616 200 2114 2241 1185 2397 1807 2252 1341 887 703 1147 2602 527 1872 80 608 101 2406 1772 2682 2130 510 213 1136 1334 1001 938 1819 2611 1921 2751 1654 1049 2524 211 2510 2192 2344 825 610 1072 1105 839 851 2422 163 1717 2933 417 1817 2763 2441 2259 2175 2183 168 291 2425 632 1601 2481 1141 2194 1085 2455 2790 1337 2461 2016 1316 1260 2434 894 615 1020 2702 2606 2091 1308 1846 515 2577 2380 1317 240 2626 1751 2307 2498 1776 1377 1666 2458 1899 2238 2336 1946 55 1750 2858 1939 518 2188 569 463 2248 1477 1837 1688 2555 2033 1879 1801 1112 1960 1848 1168 2368 2764 1606 709 359 65 387 1797 241 2013 1225 1489 2668 791 570 2100 902 2450 100 404 2710 100 739 1068 2116 1204 735 899 713 2400 1030 1443 445 2114 191 2712 1865 114 2428 1764 656 610 2950 1539 2635 863 1349 1526 391 127 2591 1650 195 1110 384 2341 2284 824 321 90 1367 162 752 2783 263 1015 74 1910 1078 2500 1760 108 189 440 1791 2746 1448 364 514 1374 1281 688 2901 816 192 1211 1357 1685 2071 1790 401 2520 1016 2161 2828 1586 1956 889 1423 2471 1603 2994 1106 1575 272 2911 183 946 2553 2130 2520 1008 2017 764 329 573 1650 2466 2668 222 1289 1053 1490 2398 644 1078 1076 48 2860 27 719 2480 2730 1957 1047 1906 1199 715 2472 1448 2703 593 1031 236 507 1244 127 2125 2097 2419 1381 772 1004 249 548 599 2693 2227 2439 82 286 1038 2620 2349 2966 2719 70 1615 1792 919 769 1896 2418 306 2358 2291 7 2297 2006 2296 322 863 374 524 849 1375 901 1317 893 158 630 1435 294 941 1002 1633 1647 1082 1659 904 2629 1265 1595 1785 632 1713 1080 942 1727 2892 1360 427 392 469 41 1114 1770 1021 2292 932 743 1125 463 2106 2216 2083 1730 2855 2244 615 2562 1835 870 2164 2955 1829 1299 1926 2295 1417 321 1757 1141 1627 1808 2559 819 2700 1972 915 1120 2092 1077 334 751 506 1538 1592 1882 1742 1774 2204 1275 428 718 2413 1692 1730 1491 1820 1694 1155 1971 584 1629 241 1396 1798 1799 41 2724 1471 1481 2440 2925 1728 2568 329 2568 2996 221 265 942 715 2795 2155 1845 1949 666 1469 101 767 2455 2832 66 2201 1425 1305 2347 1189 254 1682 535 2757 766 2144 1089 2589 2362 1899 1857 2091 2801 737 1244 269 2867 1147 2402 35 803 2163 2891 989 2848 1585 1572 718 1636 1202 2920 1730 2450 1013 2421 1401 554 617 2496 2985 2000 2017 22 2933 1737 2878 276 1029 750 1810 1324 2407 2735 2032 2140 1711 886 2601 1630 2954 871 354 2562 412 2602 2519 2710 25 81 1194 748 2428 437 2565 602 44 1261 635 2712 1759 1667 1567 2662 1037 2502 2455 852 2677 2479 2892 255 2378 2264 1541 577 2695 2828 171 1764 70 957 1842 1716 579 1301 1130 1720 871 11 1494 1308 2406 2039 2571 895 1654 2399 2335 2253 1892 2418 195 2344 2681 1974 2118 1129 2002 687 887 1371 2758 483 1554 1644 2928 343 2734 1248 2661 1652 2237 1142 2324 2688 1193 1589 1764 2767 260 864 1409 927 2241 1073 1723 347 1117 2133 2720 91 2404 291 2214 2214 1140 2985 1627 2508 2961 2526 1005 1685 973 213 1487 1970 1505 71 2557 2388 2589 2759 2170 224 2773 1892 1926 704 2072 1550 2755 2938 445 1153 2582 1829 1267 547 334 149 2418 1936 1087 74 991 65 1669 15 432 1438 1850 2231 921 2276 1920 2308 929 1392 1019 1045 1240 874 1291 1507 845 443 1746 1365 1834 653 207 343 992 1093 1938 2205 1898 29 75 921 1018 860 2387 1122 2900 1955 129 661 65 2835 403 377 190 970 810 102 1136 947 2652 10 2625 250 2540 541 38 835 828 1935 1186 2032 2205 1860 2691 995 208 112 2202 443 906 2438 1822 2349 6 475 2822 1907 1096 231 869 1018 536 1689 1139 2445 896 1531 411 2629 1028 2964 1424 122 2761 294 923 585 1239 499 609 476 1745 80 2817 2702 285 868 573 300 1608 1326 2103 460 1030 2229 944 792 1601 1030 2150 1733 1226 2774 717 1750 359 2898 1176 627 2688 1735 1325 1783 685 178 99 1327 908 1148 1648 1527 2890 1647 2850 30 1534 137 2775 2159 2895 1462 1501 1596 2503 1368 1930 1919 2900 1718 702 1216 2554 2368 1039 778 2737 352 467 218 2453 1025 2426 184 1481 710 1713 2962 2068 255 1713 2843 2823 999 422 2369 2474 1761 2466 1750 492 2953 2317 686 2031 1715 1374 1324 1119 1565 2668 693 2973 1752 409 929 1978 551 1375 618 2911 1412 2766 2935 2318 2211 2187 1292 996 235 214 1240 1002 823 1970 1972 572 153 2208 2522 2437 102 2038 2513 2788 407 1920 2210 1282 2673 1332 1719 2656 2306 2130 2 1357 2091 935 2219 2051 1667 2668 1808 2988 354 1885 504 458 1285 1127 1029 1056 1645 769 461 2289 1054 363 517 2225 2406 2490 2879 1483 2244 366 324 2767 1156 2216 2570 1415 896 2968 266 2213 2129 756 532 292 2430 875 136 2673 1132 2967 1253 445 1756 1938 1905 2731 2589 1695 1085 446 1754 269 2926 644 1532 617 2031 2867 2594 1577 588 2159 2671 2366 218 2586 1456 1875 2227 255 623 95 2385 2647 124 2994 2893 1850 2862 2049 2595 0 106 1835 2671 810 282 1930 469 2579 2369 1103 978 1692 984 83 350 1399 1745 1463 1948 726 1098 740 205 465 580 855 107 133 2809 1959 2579 2112 228 601 1775 1286 395 2389 1503 2115 1881 722 310 2059 1182 1665 611 119 2377 1235 2481 188 356 882 943 2143 2162 2449 1623 1596 2509 672 366 2110 1363 524 1624 2910 1563 2850 686 932 2437 1334 583 2780 2522 2556 1665 1609 1670 2908 2051 2362 164 2503 2539 2370 255 2946 244 1804 685 1482 275 1166 2734 1219 951 641 1960 2618 607 1089 2540 1286 1090 1035 1288 437 2433 329 337 823 176 2122 1007 478 1628 2590 1104 1274 691 1981 1056 1248 1475 2199 2831 104 1934 365 237 1876 2553 2560 1278 1999 783 1724 1451 2933 2614 27 2700 2407 1761 2292 814 292 1811 2647 2376 1825 1377 2582 1568 924 2894 46 464 677 2815 31 1076 1531 423 67 622 878 2067 1673 1198 292 1096 355 2107 2713 1855 735 920 1649 2062 2127 2329 608 565 1459 2071 2580 1368 270 2506 1432 953 1986 574 2121 2675 2249 589 2991 1957 2546 2228 2261 1792 49 548 1577 1502 1998 868 499 2012 2178 1469 2511 1345 66 1560 994 1498 2256 1506 2758 1570 2566 2432 2554 2468 1290 2303 33 1688 244 1811 2889 1039 1393 2026 461 2691 876 2343 1427 302 1762 1005 1246 114 1090 2483 2671 1789 929 1718 1261 1694 511 142 1433 2760 2098 2258 27 449 1719 1635 598 2284 1072 307 2375 1242 2512 2789 12 2965 494 1340 170 1960 1547 988 2439 1635 901 2430 1965 492 1371 39 367 1971 2616 647 1059 2178 175 2745 2433 1324 2773 1237 988 962 969 833 2975 468 2477 2637 2902 2011 2458 1407 1313 2689 888 634 1644 2728 2375 1516 1132 1436 533 423 872 2930 978 2396 417 971 1669 2888 1275 557 1373 633 1699 2659 673 427 713 226 1036 315 2394 2397 2218 2726 437 2185 1663 2142 1157 936 1418 364 1215 1606 272 1527 2583 2155 2615 989 423 970 521 2596 1386 1006 2191 2323 2737 1504 994 493 2411 2091 1908 2370 2801 1005 2910 1630 2563 1535 2002 1770 1289 1010 1759 2751 815 1539 2254 1010 673 2752 2874 2581 1874 91 2185 1001 2272 347 175 1595 2488 1730 2695 2198 1587 2991 954 582 2511 1187 1845 349 1787 2970 210 41 2142 640 1817 2209 2396 2777 1383 940 1101 489 1183 2762 2831 1217 1671 375 1648 749 230 1739 2288 277 838 415 1775 620 370 1358 1796 351 81 2009 248 2270 2661 448 290 929\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 132,
        "task_id": 559,
        "test_case_id": 21,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 0 1 0 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 0 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 0 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 0 1 0 0 1 1 1 0 1 1 1 1 0 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 0 0 1 1 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 0 0 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 0 1 1 0 1 0 0 1 1 1 1 1 1 0 1 1 1 1 0 0 1 1 1 1 0 1 0 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 0 0 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 0 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 0 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 1 0 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "1 670 1865 436 1206 2497 1135 1440 128 2638 2499 1026 1243 17 1746 961 2617 690 1229 1745 2800 2507 962 764 1024 409 474 801 2716 444 1774 2737 905 2449 2372 2357 693 2394 2974 2576 156 571 872 1090 2838 1496 730 1047 1910 360 682 2532 2392 1130 2049 743 1006 2009 2921 98 1920 716 2098 1603 708 1153 695 40 1005 697 1770 1655 2280 488 874 1642 2350 194 2393 1896 602 508 2749 1077 2747 2257 1887 60 2077 838 2819 2018 1949 1084 357 2660 2506 2426 1265 754 594 238 40 2824 2631 687 557 1494 1879 861 278 361 1357 127 59 255 2912 1756 1431 2780 1944 2441 1648 757 2513 1763 2055 1378 504 404 949 1218 1304 2593 989 2092 1258 1562 1218 1562 1323 673 1808 2392 2826 1833 1331 1546 1906 1031 2975 493 251 2602 1860 109 1949 992 2392 1937 605 2342 2183 2550 885 2066 1673 946 1283 1919 1989 2105 1260 2933 844 1487 1218 2081 965 648 2017 812 1501 2257 2343 2480 1644 2036 465 2407 2742 1697 1973 2790 2884 2328 968 2669 2480 2369 411 841 2958 507 2815 2250 2540 406 1607 175 1327 1605 1201 391 1707 148 2529 2769 699 376 1876 1650 1386 974 1511 2350 205 232 1374 1445 1249 1679 274 1054 2293 1720 166 2927 1028 314 1974 2196 2928 2208 526 186 2214 1338 991 675 731 1151 2518 1667 1629 1677 2686 902 1801 5 2126 847 1171 2993 2635 513 1522 2917 2205 2558 1254 2611 1003 704 2349 2671 2063 2345 265 1522 2068 664 933 1886 189 1758 1189 798 992 2808 200 500 2683 2396 399 2467 596 708 1619 76 1409 174 738 2366 1942 781 2778 971 1661 7 595 2804 863 1437 63 2809 1828 2552 1422 2468 1254 2833 2706 2746 949 1368 356 1816 2247 2302 355 1971 2214 2125 1906 1690 1110 850 792 1852 1398 337 2359 1471 2390 1188 744 2957 1560 2039 44 1794 872 83 441 2303 825 2916 2933 1936 1681 347 1091 2696 2064 2799 2806 2970 2266 1731 12 2679 283 1524 1328 2548 1926 1398 1101 722 2765 1586 2640 25 2452 501 2970 1366 2076 1599 2466 846 437 748 2224 1625 55 434 501 403 998 948 922 307 2759 2698 735 765 1074 2745 2762 1549 2885 714 2053 2986 910 2215 1713 516 1444 2416 1123 2939 979 1745 437 1434 2791 2139 2985 669 2235 374 1643 2958 2485 2838 2782 880 1470 1214 1990 1221 2818 2359 1071 2249 171 2229 1369 2444 786 174 1866 68 2188 2828 2849 2330 2894 681 2170 1708 1429 1401 1919 793 2881 2489 2552 1948 2314 271 2683 1951 367 2517 63 363 2755 465 1205 2597 614 1408 1328 2252 2431 2031 316 1083 752 646 1782 45 2743 60 819 987 898 1829 777 1170 2666 1757 485 5 1330 2467 103 2396 2009 2204 1463 989 1171 2340 2974 2384 422 2207 1149 1316 213 2575 954 1664 1844 165 2238 1247 2302 177 2394 1690 1146 537 1074 2634 381 449 1845 823 2660 2882 1751 2801 902 2977 1305 782 1412 2137 2138 1755 2726 1048 599 264 12 842 2232 2115 719 1135 1942 2281 1211 1499 1713 342 830 1358 2616 1434 226 1692 2439 2989 1529 908 2033 1453 413 2253 551 802 799 380 101 398 2057 62 2519 434 1861 2004 539 2239 712 223 1993 2576 1034 2374 92 1473 2677 1843 1663 814 1468 430 2082 1623 738 2776 898 485 467 633 181 2717 1356 2519 2289 2757 148 2327 206 2843 698 1318 2640 1563 1570 2539 787 867 2826 1076 1698 494 1589 1872 556 1210 2649 709 1963 2796 1259 742 815 119 2679 2532 1080 813 166 855 1088 513 2387 2716 142 2490 2242 1728 1800 2862 50 2686 572 1072 773 2041 707 2454 2775 2418 815 2292 1165 1677 107 2120 2287 2056 2658 52 721 1170 2668 818 1682 1446 102 2636 367 1786 2715 687 1905 1430 414 563 2976 336 1305 2740 222 943 37 483 2508 2570 2371 2921 2323 1268 2631 704 609 110 1667 1958 1870 774 1740 605 1526 1035 2857 1871 728 2667 757 349 41 1157 2676 1525 2121 2664 1017 101 1931 2765 1075 1820 2892 2618 1512 2245 253 2085 75 1714 1413 620 2192 2833 1354 730 1921 150 2930 2912 775 2881 59 2645 1578 2336 2225 351 2942 881 1932 324 1243 643 7 48 882 336 456 2711 540 1420 2133 2253 2601 1274 277 2656 1328 807 2301 2511 2953 341 1167 2493 256 979 616 1733 785 608 731 754 1895 812 2510 861 1752 95 2019 684 265 2089 1350 1946 1447 2635 878 1486 2618 1100 2547 2849 1945 2252 136 2089 1215 1626 340 769 37 333 2387 2198 1343 2445 960 885 1517 1037 831 234 516 1828 1016 812 132 420 1952 877 2318 1591 1988 1901 692 2624 1609 2434 2808 1384 886 1422 243 721 2398 920 2845 335 160 1478 591 1593 61 2554 67 761 273 2593 1456 1093 1395 362 2574 2894 467 2821 2341 1185 6 2710 561 1303 2728 446 598 782 989 1378 1456 64 1908 33 61 2460 534 1400 585 1756 2298 1429 1491 1907 755 1936 1529 1307 2545 2396 254 707 66 1186 1663 2092 770 1055 338 1047 216 55 198 670 1321 2560 2042 1741 1224 583 1795 461 1885 2596 1564 262 1749 1378 891 787 1305 1976 684 478 1921 2216 1249 1010 437 81 2994 1390 1505 179 307 263 1880 1377 1396 1104 1438 1641 2681 2474 2104 2152 1953 2344 1970 1849 1349 1382 1425 2820 2862 2027 2352 816 4 1894 184 1123 1371 1672 486 1070 267 169 797 799 1374 2336 38 2541 1899 1366 2273 507 644 1237 2975 2582 1531 2354 2053 2558 1700 766 2321 2609 813 2495 2242 1397 2559 395 863 2083 1947 2698 2175 1463 1441 1778 892 1161 2711 209 2449 2907 14 2774 507 2760 1381 879 585 2015 677 112 582 2457 2556 2894 1920 589 2575 527 2389 1776 1533 1099 325 2655 1270 1328 2623 754 781 1604 2588 284 2627 1488 557 2119 2712 2928 2861 1745 2287 2368 1820 2081 630 89 892 974 2998 829 1001 2496 847 2705 816 2563 203 2643 848 823 695 456 2898 1937 1131 1695 808 1010 932 1940 327 772 878 390 1591 779 851 861 2948 2708 626 1069 2431 1564 2355 1669 27 917 266 1336 758 1427 59 1456 1509 1520 1943 1233 155 2861 1150 763 1693 1939 2195 1934 2901 2404 419 2383 748 1983 2692 1804 1551 1775 1214 2056 1191 553 2826 1820 877 2711 837 2251 1531 882 731 1789 472 848 431 735 408 370 1385 2835 1051 1297 1734 1310 1362 2314 1938 2608 1643 424 1726 244 71 612 1051 345 2423 708 1101 456 1782 2662 334 1092 284 2413 1915 1215 899 448 2648 1943 1818 669 2996 2935 1072 1354 1351 1091 652 86 2114 2472 108 1265 1320 1771 913 1664 594 2271 1788 2222 93 711 2589 2379 596 1344 1483 81 251 835 2678 594 2138 2628 175 771 1253 1551 2116 183 1102 1322 2923 1907 2827 1198 1157 2957 2186 1951 2154 1193 2716 2799 1575 2746 2555 2951 2858 1909 1487 2894 2812 396 44 2746 441 1536 2854 1941 122 1347 546 2556 2300 1593 1543 2416 986 2537 1884 2061 2766 2963 2452 866 137 2762 1373 2988 425 168 570 393 765 2785 223 2308 979 2452 1864 2549 1333 2850 2540 2432 2114 2814 1972 1776 1105 2018 1864 2897 2528 353 1823 2443 433 1420 1476 2890 2391 1475 152 1042 251 397 2616 2189 28 2925 1980 143 2277 450 397 971 1309 2079 2851 887 186 2471 1116 2305 1061 1864 72 2930 2769 569 1615 880 2213 1491 2672 1131 2488 2637 1541 2497 53 1022 1206 1364 2711 1538 2934 2873 1501 2605 1282 1992 1031 223 2056 504 1816 805 1432 1420 982 1846 669 1627 2871 1053 381 1184 2918 1171 779 1524 1745 1952 837 178 361 2257 1502 560 2614 1808 688 2221 342 1188 2734 1920 872 43 2924 784 1826 2927 737 1105 741 2672 2186 1089 2148 861 1325 1706 447 1550 1896 1136 2533 246 605 2803 741 861 2139 2936 2634 970 275 2209 564 513 2935 1003 1185 919 1171 2773 61 1618 674 2071 590 2630 54 2904 2790 976 82 537 1555 2641 1277 782 238 2640 2370 1460 113 1615 2993 2272 538 2021 237 21 1373 2272 958 97 1189 305 6 2365 1089 1124 370 936 1671 275 1352 1914 1935 197 1707 1354 130 880 1563 2052 962 56 1322 2482 718 2693 1137 1948 1895 2323 140 424 647 2770 2596 2953 1318 1222 2834 1828 326 1675 1365 2313 1636 2813 1792 417 216 513 1255 1371 610 1019 53 271 283 2269 567 1139 2168 2115 2771 987 1306 1623 1689 2374 1450 362 2411 905 279 670 751 1635 2947 347 404 2865 402 2848 377 2843 1736 586 1608 2663 355 2764 2786 34 2655 2276 1749 547 2969 246 2293 2169 2962 1796 901 2381 1856 506 2665 2720 1921 1052 2052 1255 162 1943 1053 1668 1174 1347 387 1182 326 2023 1102 1320 2543 2179 2535 2695 1756 2405 1482 371 1887 1327 2752 2188 2019 2481 60 2725 1680 1423 80 2912 2142 2269 2092 891 2296 2491 2701 676 1899 1893 2424 2167 192 15 1978 647 2638 703 2551 811 1443 1688 1466 829 554 481 1081 1150 1571 915 1715 1660 825 1910 1085 456 1194 1812 760 1489 2253 2221 1548 2987 663 1190 2997 2837 1750 1018 318 490 2442 398 558 2587 2069 313 368 2404 343 716 1934 1265 773 2462 2843 313 1037 1002 1111 1915 119 2521 301 635 441 1572 944 350 2711 738 1153 1086 1999 348 1233 988 2416 1494 1071 1702 737 1229 875 1409 2493 2147 2163 2891 1834 2144 2454 448 1792 2448 1627 2052 2095 2494 205 754 1001 1606 633 1982 477 1627 2689 505 531 957 161 199 1767 2779 1676 1713 763 1584 1984 2884 569 1576 254 1416 2007 2436 707 2114 2562 313 865 1119 1099 1208 1691 2403 144 1651 2940 574 802 2553 210 1683 201 2884 235 599 216 1776 1233 2529 887 1683 75 1701 2269 121 2355 2525 2389 581 660 577 1045 1729 2422 316 2539 2786 1115 318 2993 1679 1105 703 934 2688 2712 892 23 1196 958 1114 1311 796 1000 692 1674 1919 1103 1707 2783 18 552 261 1103 940 1400 1353 1851 1246 2939 2371 344 1883 1948 2803 608 31 2185 2131 1731 227 913 184 2850 2522 1497 1833 1617 1982 126 293 705 458 993 2519 2244 2425 2931 2130 2140 760 2090 637 1860 895 2274 1782 2014 2297 2113 520 1606 1436 2290 2517 1301 1878 1689 2835 1485 2318 1321 1453 1038 773 337 1040 1555 354 395 1142 1484 2848 1961 408 683 1881 2633 373 2328 2210 2456 722 1139 2986 2187 2468 2252 911 317 1046 2066 847 1791 2136 1400 2 2853 1624 232 2654 1073 943 474 1361 1334 2859 445 2017 1593 2490 2176 857 1122 1629 1049 1011 880 1233 715 2911 2486 1260 1615 709 1920 1670 2424 2558 1653 803 1276 2828 1137 233 106 1797 2101 2756 1346 1545 356 2903 618 2008 1938 1734 2704 1703 137 2476 142 1380 2608 1666 2089 1624 206 2916 1729 913 1139 414 2150 157 1439 2910 348 2286 160 654 2273 224 1526 589 1889 2324 872 2060 244 2870 862 266 2954 2440 2447 1073 2998 2416 882 79 1786 1673 2391 319 1443 2144 1498 495 179 631 1507 1931 1553 1192 1921 2664 1309 1393 1019 860 2926 572 2707 2190 955 1918 12 1930 438 189 565 1747 2719 2015 664 878 2699 538 1667 1198 774 1994 667 1216 2395 1316 2472 1379 1901 2053 257 516 1077 2493 1802 1684 2088 2944 1874 1693 2345 2475 1242 2341 402 1981 2526 2565 192 571 439 833 267 211 1279 652 1950 1638 941 1824 1919 2739 1506 733 347 2517 985 2702 2087 2983 2485 2893 2603 2599 1478 310 1966 1726 2494 2460 1303 1637 2960 2772 2968 2571 1338 2395 1012 1136 2492 1101 2093 1175 1022 330 1812 908 2601 762 2782 486 1566 2606 956 2590 1548 2306 1422 1 409 2835 347 2889 1821 2827 127 702 1170 379 2382 1157 1027 263 1711 2642 1512 598 602 178 2458 2610 662 2183 2035 283 2060 561 2072 2455 2273 1696 1629 1524 661 1939 1206 2485 2138 1002 1218 641 394 365 2938 2102 2440 2617 2605 2394 2315 2609 1915 969 2390 1446 402 1328 171 2433 2108 1407 2461 191 2177 784 2411 2188 722 1717 2235 2440 603 2267 1330 1396 1277 2536 772 2235 1431 1773 2724 1709 471 78 650 2874 1266 2430 1444 664 622 2466 1475 758 2303 154 133 1898 747 2899 751 40 821 1992 2071 1862 68 2740 2977 681 179 1139 2553 737 1370 2639 2221 2956 1987 472 1678 2236 1999 2352 1438 2022 399 1370 654 1062 796 2944 2053 2620 897 1647 1877 1996 2471 1250 182 2601 2816 2145 1510 2064 1240 1278 2483 1811 1060 2768 1148 2642 959 437 2750 1466 1331 886 2381 2004 2089 584 2121 875 1454 1728 2744 2630 263 1 2245 139 2844 1410 2347 1798 563 574 2661 1014 527 1669 2211 454 196 193 2791 2789 536 2603 1147 2045 2988 1928 251 1370 2587 963 2371 292 2457 2968 408 2141 242 2633 1255 1164 737 421 2422 205 262 43 80 2396 1926 752 1471 1033 1650 2005 2596 2324 459 1109 1449 2835 1248 739 1888 601 2520 2087 2823 1185 1435 2351 1097 302 1293 1837 1001 749 946 713 2950 1441 1948 1093 492 2220 1081 1696 59 338 1633 1739 703 642 2981 1685 842 2323 782 2842 2878 1913 1343 1944 2344 849 905 1259 1565 178 167 1969 1600 2385 657 406 971 1271 1851 2074 123 636 1470 2684 2993 1514 1621 642 1811 1498 355 1852 25 1144 1782 913 1961 2658 2558 1465 418 1883 2713 2218 1284 1846 979 698 1336 539 2590 66 2326 2020 563 1455 1366 2171 1601 2321 1359 1577 2158 2233 872 1632 653 1379 124 622 2371 1705 1896 2573 1192 1561 320 949 2527 726 2048 901 2094 613 1605 511 761 879 2471 1869 1224 2746 1905 1755 337 1753 1410 1917 610 1122 1841 128 2598 2948 1233 2366 1265 2781 34 744 1961 2195 2117 1767 2370 950 147 1166 463 1351 1777 1917 2312 542 493 700 293 2407 2194 988 2170 2314 600 780 2145 2740 1797 1228 349 833 512 2677 2639 744 973 387 1417 2254 2324 2965 229 82 28 2 2956 1300 108 1374 1398 1484 1772 1284 2065 1986 1098 2514 2686 1972 1722 293 861 849 1449 2797 525 2595 2045 2650 1407 1404 5 357 61 10 2605 1831 1404 2844 1804 1470 2585 2893 498 333 88 1210 1575 2803 1970 268 526 2814 1531 2699 2475 650 1680 1473 1913 100 768 2001 2851 2460 1956 1194 2284 1265 2708 1348 763 8 1009 559 1441 1683 1097 2227 1747 1505 1248 1473 540 1455 124 2412 2568 111 1202 2169 2881 820 397 1478 2099 2893 674 393 270 342 2411 515 257 2559 1035 2902 102 1934 2061 598 2746 2409 780 1118 1696 1043 321 2875 1338 185 201 294 466 1087 550 1847 848 98 2524 1147 370 2953 1114 148 2968 2656 674 2084 1272 2620 645 2929 484 1901 77 1176 1291 798 1053 1354 2326 1125 2306 1267 2815 1039 2268 132 2870 111 2240 910 2952 2641 739 130 1476 1774 1048 1069 2687 920 502 2777 651 2910 2899 1836 2448 214 2704 896 2480 1152 2888 1756 2406 1660 1478 2397 395 2294 1103 262 976 983 1780 1856 1172 2121 238 2127 519 1086 311 2961 1305 451 1400 1789 499 2137 1725 2329 1107 862 228 2943 2711 2996 991 848 1852 2515 208 2632 2751 1270 1310 2047 2971 2647 1437 1999 1117 1049 681 1118 2373 977 1107 434 1927 2031 634 1114 870 886 2889 2596 2355 1018 943 1188 2938 36 138 976 2196 1742 2097 2097 61 138 411 231 1646 373 1310 2099 2614 1110 666 2537 1548 90 1656 2095 1125 2380 2214 2623 2874 1979 1680 1041 1940 119 1204 2968 2331 2227 2678 410 75 535 285 1050 389 2489 1170 864 2329 635 1749 695 570 1376 219 361 2248 1849 350 2218 1350 1177 1369 1418 64 1000 2117 998 2489 2777 2885 627 2627 743 2727 586 2496 1998 1111 2947 1055 2639 684 766 1221 489 638 828 971 1083 1704 1253 2243 1760 2110 2818 927 1647 85 219 1806 2968 1658 835 963 2104 2928 517 2074 2768 1840 971 136 1528 184 1244 659 2820 2905 366 2380 722 1108 1428 150 1762 1697 928 0 2413 2739 909 2481 2472 1956 2152 2328 336 1887 1758 1524 2974 377 2515 848 1441 2252 0 1328 984 303\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 133,
        "task_id": 559,
        "test_case_id": 22,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 0 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "1 660 579 572 2400 1738 2744 302 2322 414 2940 2062 260 2836 537 880 616 803 2480 1102 2936 2989 736 546 1412 287 2272 2451 2557 970 1653 1970 2742 1771 1982 450 2906 241 1840 1083 604 717 1455 39 605 1472 960 1352 1124 154 2071 2821 1757 1806 817 2629 1552 172 1690 2975 196 1688 1493 2435 29 1736 983 2552 2822 2639 609 2957 2103 676 1307 1009 2961 717 1638 1784 179 1253 969 890 2501 31 1557 1200 414 1974 2085 2588 1073 990 2445 29 1808 2588 2705 763 1151 1078 289 2123 1217 120 2719 1273 2713 2841 1433 392 82 2824 2900 1714 189 251 374 2501 1429 2800 2295 2066 1644 513 1289 494 764 2088 58 2581 387 2853 2151 1020 2877 2467 2395 1336 2648 630 904 2255 1207 2599 606 1578 1896 977 2175 1942 808 179 2887 1823 2456 1476 1406 1951 499 1120 1394 1405 966 1685 484 1748 523 272 1917 2217 815 1246 1947 994 1150 2411 2831 2549 2791 768 2728 263 780 2342 1342 408 1882 687 1365 473 2407 2952 1223 1812 2332 1162 2434 528 318 76 1058 2711 181 194 2594 298 1152 1819 2306 892 1337 1246 198 1373 1515 1355 862 2114 2121 54 1720 1145 2897 1412 384 2013 2399 2311 85 963 1187 2112 1768 2336 453 840 2166 2618 858 1219 2419 358 2676 2950 1479 1753 2247 804 1569 2868 1425 1351 1239 783 1211 2843 2466 1908 2388 1996 1655 2223 1331 2542 2574 2607 2654 2677 2022 1965 517 2422 1573 2721 497 1605 2361 382 2875 2648 2429 811 2690 846 2394 78 2552 903 2106 2349 2563 1213 2545 1277 2569 2978 107 485 1421 618 1717 1658 1127 2650 1661 2985 1675 1956 1929 647 2264 2106 504 1985 2287 2600 1804 595 2098 1487 1928 2983 353 719 647 2717 1745 202 1473 1641 1394 171 1624 2476 566 1210 1583 722 683 74 965 1666 1464 2331 1563 1951 2386 1814 1909 1892 276 2785 36 2110 1898 757 746 112 2838 2089 140 1453 2127 2089 2477 1132 955 2953 1543 742 1876 2740 2484 2672 529 981 476 498 2926 428 2054 1626 2363 198 1363 850 1620 1307 923 1238 2814 932 2980 369 837 2413 2065 241 2793 1697 1999 216 1795 2510 2113 1237 1361 717 2231 1240 500 721 2235 1324 328 1756 160 381 795 603 1722 647 2106 1478 1307 2905 1963 1137 2950 488 2694 1858 493 2000 16 749 2450 1114 2509 1876 1938 297 1677 2636 12 495 628 122 2585 695 2032 1158 321 635 2631 726 215 721 1583 118 2801 778 2797 587 76 2746 2624 959 2862 2274 65 2977 141 1176 755 1794 1991 867 1932 2386 1419 1707 1174 1502 2022 723 316 142 875 648 836 2967 1412 1535 2802 999 2716 1516 1883 288 422 351 2827 376 112 498 646 2659 1343 1516 994 816 2792 2054 2314 937 254 2521 1963 1632 1137 1718 1849 78 1044 2674 1058 136 1622 2224 1581 2169 714 443 735 154 2572 2785 1970 699 1038 890 2534 1091 2840 2624 2317 1229 2933 1990 2687 445 2619 1706 1493 2948 2259 56 1933 2426 565 1811 627 196 2883 2677 1835 503 509 1483 1975 452 805 2179 2198 1334 1322 2434 2996 488 1740 2860 468 2067 2081 766 1508 213 2410 904 1495 1279 2969 27 2210 2741 409 1981 2389 944 241 164 1306 1991 2220 1885 908 401 304 601 338 2526 677 2905 2939 775 2436 1782 490 827 1183 2682 1612 283 2624 940 635 186 543 1842 544 2338 755 2904 1835 741 1857 2347 52 377 2924 2818 2272 1521 353 178 2768 2402 1179 1057 2077 570 1668 1216 1644 1319 2094 973 77 2388 2359 852 1947 883 2147 1919 1835 2530 232 2764 679 858 1581 376 2567 1624 2319 962 2575 639 2205 2274 1966 2633 2297 324 484 1772 1961 1187 2448 553 1563 477 1105 792 313 1502 643 947 1207 784 1066 330 219 2669 211 939 1761 1864 480 2543 9 131 671 430 870 843 366 892 1412 1262 1938 2989 1914 992 169 2676 2026 882 2088 1706 2251 2543 1205 624 443 718 1053 139 1968 1426 1152 918 2348 1277 1205 2941 2795 19 1628 1348 1064 1339 2803 2991 315 1935 1539 538 2359 340 1143 998 1376 2612 2448 687 437 2358 1126 474 1634 283 2516 673 1953 36 1163 2129 263 2822 2564 947 2829 1164 831 1068 666 2702 2958 2146 2762 141 856 452 2000 92 560 2484 2700 1087 1279 2718 1319 2541 176 2396 1626 1420 1127 2157 647 2086 127 419 2247 2837 2323 2365 639 2237 2177 1451 750 1733 355 2252 9 2980 733 1132 2154 436 1158 1810 1659 2271 665 2246 2112 993 454 784 2159 800 737 495 1421 1545 1286 2152 2139 1851 2922 2711 726 2412 544 1274 137 1978 1829 1550 2776 101 189 2223 1193 848 266 1916 1596 1949 1541 2796 1954 2059 2459 1175 2427 601 924 39 897 1509 2702 2375 1415 1193 586 1842 1219 2584 192 898 1123 2614 421 1034 1027 344 771 1936 573 93 1464 2489 942 2596 2124 1835 225 2646 627 1301 1941 816 2573 2340 2514 2281 645 1595 1452 1762 914 515 1093 864 2219 290 2204 1381 126 1221 916 1749 1316 2111 1821 2183 742 878 2664 464 264 1674 2495 1651 1008 1081 2485 2195 2033 281 1241 603 2147 538 2329 1218 1922 986 40 208 2677 2082 548 2100 1959 81 2770 2373 2013 2989 401 778 1462 282 1325 1169 796 1690 1581 2978 1315 584 62 810 2428 1143 912 2309 1787 621 2476 443 2042 2759 2638 97 954 1739 29 886 1200 822 1263 54 2945 454 2914 2534 1583 284 1617 631 2943 2356 1767 1673 920 1464 867 2996 2903 2085 2668 763 1381 2631 1486 1717 2879 429 130 1210 2886 1148 476 354 399 1581 1061 2814 1951 2095 2496 136 1152 2806 2360 1424 2985 2728 2701 2625 613 854 470 961 2539 502 1964 2454 2649 2974 1392 893 652 1795 1271 2350 2731 554 2113 572 1813 630 1326 491 675 372 2432 715 1240 2126 2313 1859 2718 1740 968 329 1674 2486 81 1739 1028 1168 2718 2745 509 1973 1755 514 2447 895 2294 416 1415 2167 639 2317 2663 1272 1402 2609 1350 1103 1042 469 2264 1180 329 1152 2169 443 1409 1861 2295 2650 2846 2558 1590 1478 2723 1479 932 2765 1433 2749 691 364 2321 964 2713 2757 1754 1781 2001 1891 53 1127 1935 530 1272 1768 651 2079 1448 897 89 692 3 2311 2265 2494 2496 1193 1211 507 2785 358 288 2657 2026 847 2824 1895 336 2579 1601 1889 1648 1666 1261 2497 1496 2541 683 2967 613 2704 2915 1697 47 1629 2021 1878 2529 22 2799 1307 772 2706 2882 128 1317 1573 615 2996 296 1712 1615 1364 1220 1394 1485 2255 1044 2701 2186 2625 2195 125 2209 2730 1026 863 2922 2786 1975 2841 1145 2634 137 410 2708 1016 2014 2229 1991 567 1074 1182 1719 1297 969 16 1660 2499 2384 2176 1385 875 2796 337 409 1926 2972 1194 1808 2656 1091 671 1491 1455 2972 2413 1714 219 1638 89 624 687 1470 1362 2244 1630 1450 2795 2923 1997 1277 1785 2971 1314 675 1800 1977 2195 1779 1458 2676 1978 2351 841 2278 1025 1861 1811 427 161 375 1377 1302 2185 278 351 2400 1597 2053 2363 103 687 834 1479 2325 614 625 2955 265 2540 2294 2381 413 1320 2967 2259 2432 2705 1029 2184 410 792 1104 1455 1976 2835 2669 2947 1768 1346 1510 1124 573 477 501 930 244 2933 2225 2084 2616 1263 1628 597 2846 2737 1664 1984 2840 1047 1731 1578 6 235 2696 2324 1102 1166 1528 2529 1042 1142 121 54 256 169 2837 239 2048 225 1557 990 303 976 1931 2987 1669 1207 1040 1918 2037 2227 1299 906 2991 1081 1414 2855 1639 2733 2368 1792 341 1242 1751 1716 2025 2981 1988 371 516 1975 165 753 1123 2181 1301 2954 514 1 518 1704 2399 1079 2835 2909 2824 1585 1 1353 512 357 966 1496 2386 952 1351 1813 842 416 1306 2030 1914 2062 2989 1796 1089 334 314 2850 2054 458 128 330 2454 1040 1226 2612 432 1746 1982 1027 1733 1002 964 1150 1155 2914 906 2218 1900 2407 2413 1911 603 1108 1988 2843 1712 2147 659 2252 2778 1435 373 64 820 2892 2120 1302 1733 1640 1588 2985 1223 2124 1149 253 800 2583 2650 1196 1876 2790 2289 468 481 2755 163 2527 1160 1955 686 2676 2877 2358 2841 2154 58 868 2213 2414 466 1857 237 2688 2829 510 1603 625 1916 967 781 630 1305 1173 696 2383 1251 100 2873 555 2564 2938 115 286 2347 2299 2356 277 391 1477 766 142 695 2844 1601 1214 2357 1002 652 60 595 1777 2555 1721 1157 1391 915 700 801 641 1628 1833 320 1858 149 2751 1613 1826 200 2431 373 375 731 1662 2218 2895 1239 2328 2782 2329 2746 2221 1952 2781 2712 1932 480 449 1463 2809 2479 1898 998 2509 2503 544 1329 417 534 781 2847 440 463 2433 2133 2900 23 1804 2738 1713 711 1036 2981 1654 1418 950 1653 1686 1476 2898 817 2110 2768 2425 89 471 1330 2322 461 645 610 2625 2894 1154 323 2026 1904 1225 935 1676 2066 1330 1203 379 1949 155 1667 2379 114 892 1020 1999 1403 2803 2504 284 1404 2832 1217 2178 1491 876 2439 819 1221 652 973 1422 1878 421 355 1815 658 2843 2977 412 2924 727 2754 2546 718 271 709 1686 1630 326 2145 318 60 2935 530 533 2327 982 2967 963 845 53 1547 929 569 1312 808 554 895 2226 1651 1967 1904 241 1141 2192 761 1237 1890 1191 2590 741 2807 1617 2538 2205 496 1995 2470 1168 1166 758 848 882 1140 2865 1393 590 690 1060 36 1294 1332 1026 1446 2413 497 780 701 1258 485 1575 780 2592 383 737 2378 563 1909 992 346 273 611 571 1000 2973 365 103 362 2879 629 51 678 2498 388 1632 1970 718 1383 1727 2188 1750 887 1029 1916 159 2203 1908 1038 2988 1058 1694 1977 216 1862 283 1227 1770 0 1542 1083 1688 302 2152 2290 1780 2850 1957 2601 1998 966 425 2523 2510 521 1617 1232 2416 2942 560 344 720 9 846 1965 2796 291 1204 2077 1458 920 2947 2036 2375 1880 1347 595 1000 2923 1544 1015 2837 766 1813 226 929 2081 1141 2158 167 2875 609 117 2595 2302 55 779 2158 2792 1887 144 1916 1454 2115 1090 2463 1945 209 203 2330 2837 118 209 1900 2343 2754 1565 1090 237 2364 1019 2974 959 2441 319 2158 1790 1957 2649 1537 1302 421 925 2752 1830 1379 2385 2749 2516 695 1189 304 200 1028 1265 2871 2426 1668 2449 118 1816 652 1841 1251 2247 2887 2692 394 1006 802 2941 2062 2546 2945 2091 543 161 323 1438 1002 2793 2964 1982 969 2007 461 2155 2126 1247 1095 1933 2399 1869 763 535 620 2781 2600 2693 365 1082 1756 179 1011 1401 2273 2653 718 1026 1533 1220 2880 2697 2238 938 2202 2525 1126 2984 2302 2884 411 993 1403 201 1180 663 1659 1080 1662 880 1234 1699 1104 29 44 2312 335 2348 381 354 922 1410 333 584 49 1542 2737 216 2480 1930 1852 2328 2881 1915 2983 1521 1857 1294 331 2553 243 1332 135 1667 1900 1215 685 2320 1540 2222 2986 2205 242 90 2563 1510 133 1906 280 2841 762 2377 1972 2474 481 765 1535 2707 1014 2161 777 1681 1643 906 309 2033 2211 2443 2817 1410 1426 2536 2202 470 1725 1561 2883 1983 416 1676 2394 1557 526 342 2915 254 698 729 988 484 738 1399 2414 1083 120 2397 1773 1540 2364 1320 654 2127 2005 2413 2648 2757 300 2239 1355 605 592 2820 2226 1976 2379 1338 1918 1043 2528 262 1096 2685 2399 456 2727 1033 1907 1688 126 2681 2011 1010 473 2299 2622 764 678 328 2054 2304 2508 588 1255 2252 1964 2960 312 957 27 64 444 830 2271 1678 1209 2179 117 1436 1989 1942 863 1442 2854 1262 1959 2128 936 2261 2403 1804 2968 2005 2010 2111 2778 2439 256 1387 1820 996 1614 2188 67 1529 1234 1482 435 2538 1098 1669 727 268 2307 1298 862 557 1061 593 1866 596 2967 1810 385 966 1269 1485 2161 1555 34 1432 799 2061 2760 1747 2573 414 1651 337 1386 1886 509 646 1259 1948 2980 2831 1431 1810 203 2237 1132 1762 456 620 974 2218 2337 988 2697 2581 1692 1330 492 1363 909 1342 2329 997 1132 350 2491 514 403 965 1265 2898 848 1417 1997 209 909 2336 2389 966 929 1773 2643 2903 903 1198 2952 330 1231 464 2107 2094 2235 2442 2720 2536 1395 1692 784 269 2974 28 2984 2622 1797 838 1813 37 1438 2778 124 1985 2539 888 859 1079 2634 1526 1947 1260 1889 1173 2859 1640 2109 1702 1809 478 1593 720 33 1864 13 1868 726 864 1900 932 444 1925 1606 2465 1558 668 1456 937 172 1233 190 1279 280 2074 2544 349 240 379 1134 1051 831 184 207 766 1063 1704 1186 1242 205 1162 1688 629 1461 1722 489 935 1753 1487 1176 541 1043 163 465 2930 2324 2876 1826 1576 1916 2 1528 1753 101 724 860 380 1335 368 2741 2945 1981 1189 1713 1304 819 941 1808 2663 1997 2990 1480 2192 1497 1286 2291 993 224 182 1023 2794 619 1515 2354 575 620 2191 215 1848 1370 1048 2013 156 2217 1556 555 1677 1494 790 200 441 244 1582 816 2629 845 2916 1444 2392 838 2444 1979 153 2118 641 2865 422 2598 1147 270 2478 2130 2904 2500 402 2279 2258 2384 905 1901 2114 276 576 566 678 1224 2585 2345 952 2693 1956 2108 515 1535 2109 1770 589 857 1021 1558 2197 346 1103 587 974 520 1658 1281 1713 644 2836 2004 1274 1714 2145 2106 2777 2684 1173 804 270 736 1556 1751 1865 955 2270 276 2169 2505 2288 887 2447 64 26 597 1531 556 2376 909 2577 2092 2935 1047 456 1544 2607 1615 2932 1412 41 2836 1918 1445 1966 954 1736 2888 2805 2095 2429 1936 1466 2687 2535 1436 2246 872 2277 206 2495 1242 385 434 1837 671 2054 898 407 2090 47 169 451 164 1912 2911 920 1451 1086 1409 1610 2733 2886 2830 776 1292 2430 2062 1983 2162 2099 453 5 541 2236 1924 1604 1333 2775 695 362 2015 1022 2323 2041 1738 1728 203 398 1697 696 1250 1693 376 498 709 439 305 782 2407 915 2463 1992 1390 1128 1274 2628 1927 914 1436 1922 2434 23 906 1538 2858 262 1170 2312 251 2447 384 2685 969 2507 1901 1278 576 1554 916 1782 1895 1979 2133 2841 2299 1038 1753 1189 1699 156 2284 1327 184 2757 2749 155 1850 987 649 1463 1033 2672 1347 887 2182 2454 1542 1015 88 2916 464 1136 2278 1693 2141 1395 1371 116 1930 547 2335 868 194 206 518 1908 2648 1616 639 479 320 1791 1870 2759 1760 1396 1268 2245 2344 658 140 2222 42 156 758 138 1717 2393 1086 2645 1332 2217 2844 2012 1032 1626 849 2316 1115 2265 40 748 682 1465 2125 1185 2896 210 132 642 324 1784 966 2575 243 831 281 1290 2004 1251 2446 361 1942 1006 194 1829 986 1869 1708 1833 751 852 2675 607 2620 1637 1840 1215 2396 2320 1837 2754 465 1365 1562 1209 2275 382 1642 1271 749 2494 1545 1164 2766 688 2931 2120 611 868 723 841 2007 298 876 1027 140 1673 175 389 1426 302 355 2314 2964 772 989 1519 1175 2703 2715 97 2813 1342 719 2213 2706 1034 1217 2352 2002 1098 1182 1420 2787 1035 288 2670 1334 2086 2064 935 2376 1155 664 2001 2567 2284 1396 1812 2381 2493 1878 1085 1727 2752 2575 524 1053 121 2670 1193 777 736 2304 2712 2744 828 1099 1273 968 317 2127 2623 1466 2779 1333 1340 1462 609 1363 896 2735 2600 818 249 1604 1214 1770 2784 1899 632 2274 1392 1567 892 967 1404 2518 1162 2636 2330 2868 879 2079 2154 123 954 451 1818 2346 877 1912 1834 1973 2586 738 123 1674 174 2863 1447 2970 1080 98 1266 2452 976 2764 1067 2991 101 89 1326 2609 2630 2324 1945 1824 1766 1265 2637 1921 2775 572 353 2791 958 2185 2466 2681 4 1237 2695 2254 1852 919 2674 524 995 1317 1497 2009 1096 454 1813 799 2309 2817 741 1966 2836 1717 2947 909 692 785 608 881 2173 2519 99 739 95 1257 520 880 1480 88 2255 171 741 85 2345 2584 1934 2817 2452 58 2969 662 916 1309 1271 1560 2643 20 1787 2643 1603 2692 990 1125 2376 1701 880 1312 419 2135 1220 1520 1834 585 512 1103 2717 1797 2629 2388 2974 676 160\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 134,
        "task_id": 559,
        "test_case_id": 23,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "1 2312 2218 177 2781 752 2735 1137 1384 1236 139 2 563 1531 2574 1797 2518 1171 2903 350 284 1978 74 533 783 1698 2974 2519 1895 177 2302 95 472 2769 1797 965 802 768 589 2137 2690 2307 261 21 2217 1817 600 2230 1554 1242 2384 1662 2055 2561 58 1538 2428 227 606 331 4 1135 204 1044 1338 2604 694 1680 2203 2111 638 1078 2370 126 1989 1898 737 288 1456 1532 2042 1758 484 18 1090 113 2003 868 1369 2189 936 2527 2791 24 848 1696 818 1753 471 239 58 678 811 330 2400 377 84 2281 2019 877 1958 2826 1996 1356 574 641 1591 998 1451 2275 2411 124 2695 2818 672 2834 41 1589 625 2148 2497 2884 489 434 2110 2604 1895 77 2028 614 2828 614 992 2526 1816 528 1024 1273 2963 1779 2418 2559 314 2720 713 1117 44 2886 2385 1413 2133 396 2762 528 310 905 118 2765 1850 1248 462 2395 1520 1993 2076 1044 1251 1373 1680 521 2860 749 682 1785 1789 1920 760 1467 1554 2156 1459 2250 562 114 2113 1881 1939 2940 1122 207 2889 1516 2469 2251 2120 1712 280 1055 1055 1157 1347 1026 115 2467 2354 1380 225 1871 297 860 1988 1118 125 2975 845 1007 1717 1722 1263 4 2966 469 102 731 988 1303 2185 2405 195 2345 1392 2919 692 1575 1978 530 2251 1094 1264 1166 2952 107 374 197 2276 935 353 2920 2190 1752 755 2984 854 1323 2861 1204 862 2398 1753 178 588 2170 1451 1 2034 177 249 2773 1103 2255 1408 664 1357 1992 239 2162 915 747 450 356 319 1872 1941 1070 2749 356 2956 701 2461 434 413 901 1995 177 1740 2190 1607 346 2693 648 444 2705 1781 2338 167 162 717 1907 1064 1539 1432 2674 518 1547 1438 2098 215 145 662 1708 1328 778 371 1401 1955 2096 908 2795 1459 2301 1409 678 883 1962 2046 583 1035 496 706 321 1693 201 727 2895 1282 1261 502 1595 1864 2342 1910 1603 2392 1063 704 1981 732 596 1958 2678 1134 2575 1295 413 744 2717 418 1310 2686 477 868 1809 880 2392 2283 83 496 2910 2861 2526 2929 520 544 145 404 327 2460 606 1822 75 1524 745 64 140 1772 176 524 831 2811 36 1414 2128 2337 149 2466 494 2955 913 1970 1362 2894 325 797 469 1276 803 1809 1776 541 172 1912 2466 550 2452 2521 557 985 470 2722 49 2142 254 748 2875 2829 60 207 334 340 1646 833 2174 2878 2925 714 2503 551 1807 402 2548 1473 1789 1165 1226 2495 442 284 2045 534 667 1566 2700 1901 728 2081 2141 1568 1025 2870 1300 41 600 2839 2502 982 123 1801 1956 1364 1590 327 2805 687 285 828 263 664 1427 1932 690 2113 1434 1680 2918 1869 2435 2968 2960 487 480 2056 674 680 140 2482 1144 2073 2402 428 367 2686 515 339 306 1507 763 1982 2481 1636 1010 1653 2464 1746 2876 2954 2779 265 749 2150 301 771 361 2015 845 1224 677 804 2310 1770 1423 130 1017 1471 621 919 2677 729 1496 1357 1352 1524 548 580 2457 526 2662 2953 706 1895 2915 947 2574 749 561 1059 2513 2352 2630 2935 1972 2944 1319 308 102 485 1760 2274 1622 1991 377 2626 1312 2894 2314 492 1991 2634 426 2867 1843 1759 294 708 2177 1140 2784 2156 2538 252 1448 107 2783 1647 1121 2165 1055 1965 1795 2364 1515 1761 914 430 554 774 2817 1508 2249 1584 2434 2434 651 2536 2819 2851 240 1091 2175 666 533 358 2091 1566 1875 1541 2750 1505 431 2276 261 1905 1012 138 1907 2351 139 1673 788 1937 462 1072 1942 196 1974 2980 1939 891 2778 22 900 1887 928 1323 2348 794 2919 2698 1415 1463 345 1876 2477 876 2182 2462 2386 32 941 1465 1196 841 2797 2435 1753 1936 2000 2557 2656 523 174 1317 2193 719 827 426 1198 2215 466 501 2590 84 434 1071 1881 957 1397 981 1918 1486 1065 263 814 1773 701 2578 278 1823 2804 2914 1091 1663 29 401 1103 1790 951 1186 556 2523 2714 1877 1269 2927 2133 902 1270 1158 2572 1104 2344 2170 2811 991 1616 1157 2481 1907 1602 1768 2608 1039 2848 821 2419 2479 68 2401 1483 2972 2694 1798 1711 6 1679 2109 1839 808 1540 20 64 2495 2435 1756 1760 2387 1872 817 2436 2430 1701 2919 637 1450 2814 1347 128 277 2887 2494 2875 511 547 342 81 2312 2643 98 1239 229 1672 1657 2036 2804 1394 1233 1072 1329 2588 284 2967 623 1757 1149 536 360 1513 1129 805 109 827 44 2521 76 1030 2618 2034 433 2039 1538 1216 697 40 2428 1599 813 424 892 2584 370 2281 1222 2352 1942 1226 2025 259 1116 2988 2447 745 1219 742 2207 1357 1479 2934 2597 1466 2731 2828 292 94 1248 2604 695 2595 855 2361 2022 686 1435 534 2316 2272 1820 2290 1896 249 1783 1972 65 2264 198 1876 764 2981 2939 777 1800 347 493 1638 1663 1547 593 2112 2725 666 6 1304 989 2906 2778 1341 2582 1001 2599 710 753 1532 135 2620 2185 1115 2262 2387 758 1620 1537 53 1233 460 996 1431 215 1841 1304 55 821 716 1884 1371 1075 1215 2001 1511 2170 2653 2544 2810 1056 766 1734 194 2710 1661 2969 1607 654 1667 660 2086 726 2926 339 2227 1168 2101 1812 2990 2101 284 2227 130 2464 1108 45 723 2090 1294 1705 207 1284 887 2670 323 1077 647 1056 852 1741 2254 2417 2865 1190 843 1980 364 1887 1000 867 685 1122 2570 21 1599 2486 556 443 2150 2742 1530 24 466 2087 490 1918 2209 813 2956 1745 1014 2641 468 1022 670 2501 2046 2704 1494 2027 607 2802 2273 1976 2519 1802 1157 1151 2445 1340 1396 1405 1641 2659 2956 2446 826 15 889 1972 205 2846 337 1962 2532 1169 621 2752 694 379 1842 1980 2621 2889 15 2523 528 767 2887 1698 2211 148 79 2080 2233 2902 2952 668 2814 1383 1157 1325 2252 25 2885 209 805 1511 1247 765 402 1505 1430 2789 2176 868 2495 950 2520 1734 86 2647 1513 2434 1917 798 2884 599 2147 1775 513 1811 2656 2664 1121 368 1935 259 1599 2061 1450 942 1693 689 1604 2226 3 2147 537 2874 2243 1616 2634 2260 1589 702 1323 1647 1456 2530 2629 1979 2689 254 2006 1601 1093 925 456 558 516 1465 290 2310 585 579 2817 12 596 2508 367 2895 2215 844 500 1316 470 2935 996 588 1701 1265 1 1607 573 367 1805 1901 1541 1974 2287 2466 1676 2557 766 1517 2562 1773 1986 1716 128 2643 2920 375 2726 2016 744 2751 615 2215 788 111 1449 236 1482 146 757 2514 2299 1129 629 809 2723 471 1064 2024 16 213 1947 2706 1640 1428 731 2075 386 1247 178 2677 2864 2471 1563 2014 1218 1136 641 1464 1503 1845 175 907 1430 2645 646 1752 2099 747 1870 2429 113 242 1567 2788 969 632 307 1065 163 923 2553 1263 1743 1746 1196 1612 1704 1092 1685 945 328 2603 85 947 1413 1412 2628 129 2110 2304 2592 446 351 534 2224 581 1817 1244 160 1077 1207 2233 2829 644 1558 2035 1669 2513 708 2933 2895 412 2197 2380 2424 2548 2629 2151 2479 346 1336 2343 80 1760 27 1130 1772 1248 2440 919 128 90 1615 1833 2631 245 2065 2490 403 39 2356 69 1240 1001 1272 164 1790 2769 337 2621 1221 1480 2580 619 936 1460 482 240 2990 2631 122 576 1997 1465 1921 483 2414 1213 2265 1781 2207 1075 531 383 1867 2795 628 2075 336 2830 1287 1219 828 928 925 2317 1399 992 482 1873 2646 2412 2766 1885 1492 1751 678 561 2404 1323 2075 1973 2935 2099 931 2526 2457 633 2058 210 2913 1799 2857 2445 757 690 2715 974 2731 1564 1649 698 863 77 764 1899 1986 363 2528 2532 822 1904 130 186 2857 958 554 895 2610 1006 1929 563 2675 2081 174 1610 717 1835 1263 1436 1727 1963 1350 248 2879 1789 719 1691 1166 1606 2310 2879 452 1883 1336 941 582 1546 981 981 2796 346 794 300 2890 2438 1991 1666 2078 1046 24 2246 2921 2572 2617 266 985 1412 1660 2547 2292 146 1861 1540 573 2395 1813 2839 1025 1892 257 451 2756 896 798 2186 2817 1154 1449 221 2997 2657 1589 1923 1071 882 2259 2356 2556 1066 1530 429 529 619 1014 2175 762 2640 109 412 872 2328 563 924 937 439 1637 1687 410 1816 274 430 303 259 2684 2804 2043 942 784 376 1163 1403 1815 922 2669 2082 1000 337 2866 1294 2555 1788 2464 1530 591 1297 2585 512 1598 2908 2976 1817 1892 1686 1141 1024 894 2023 2439 37 1607 847 241 2582 6 2289 2725 1675 688 364 241 901 803 2998 68 233 59 501 2129 1626 2411 1655 595 901 2234 1868 2381 685 2368 2092 2955 2347 1208 1909 1199 106 449 921 410 173 2944 164 29 2705 1410 921 2562 78 156 1982 250 2502 2571 2664 2701 894 2021 830 1431 2352 1304 2572 1099 1994 1745 1366 921 5 2252 2809 599 1395 353 607 1785 1397 248 492 10 1061 634 60 517 2856 1331 2904 2351 1725 2354 1320 2146 2827 742 1396 1846 1567 2796 938 2636 1352 2515 1301 1054 1598 453 2323 1067 1719 2295 1793 590 2717 2133 36 670 2272 1018 1495 1947 2652 521 511 1601 241 2142 1675 1234 18 2264 104 1281 2640 565 661 1507 535 341 2043 178 2200 1508 1424 2260 1910 751 2946 1014 2753 1393 240 2574 1219 1212 39 1958 1166 606 2639 2090 954 51 2932 1090 2145 2164 1536 2214 2036 1966 2100 2567 699 1302 1783 642 956 1470 1533 1091 1864 2519 175 2319 2915 76 1412 2971 1417 2348 2191 658 2572 1174 1256 94 131 2419 2579 276 1170 516 2719 1175 2946 1201 2818 2049 1654 1969 2205 2917 821 983 1298 867 770 996 225 2812 352 1743 2611 2981 1226 2126 1044 1669 219 92 300 2141 958 370 2531 1965 136 2558 2127 2906 1474 2895 126 2838 2293 975 1926 1889 2543 118 2532 2900 2385 2897 2257 1798 1080 1412 2275 233 2003 2229 1094 1733 772 320 1760 1610 867 2491 2962 2137 2023 1472 301 2168 1937 2694 37 516 2434 1036 2423 2996 2170 439 160 201 1571 2707 423 240 47 354 2611 1089 1920 747 1545 1926 1585 557 1606 2939 2268 2042 1582 478 174 950 534 2851 929 1369 78 2315 2341 1941 1037 2839 2343 2296 1459 2304 436 1483 2299 848 2417 1110 2118 648 78 1998 269 977 261 1349 983 676 1609 2285 518 407 1042 2524 226 2610 1244 2189 322 1179 2915 1783 1520 2917 1444 1280 939 8 2889 2865 266 2703 2311 997 2494 2209 759 2186 2074 2250 103 598 2116 2431 2706 2913 135 759 1284 1629 2245 2900 2703 1410 715 1722 1045 2566 1065 1920 2031 2201 255 2708 2570 1774 1588 968 1010 62 425 1605 745 906 19 2128 1314 2663 2941 2439 2717 1594 249 2386 795 1027 601 1554 2217 1913 2261 1233 2751 2664 299 342 421 1801 1537 723 2114 1646 160 950 2856 178 691 1646 2637 665 1700 148 1449 2458 196 2921 2046 590 1193 411 1082 2328 2357 2790 1470 1630 2257 1232 715 1798 832 1626 2916 2479 418 2406 2978 2534 223 1556 1706 2235 2505 2616 2036 103 980 1551 2131 475 4 1087 1545 2684 257 724 586 700 1509 375 939 858 1059 731 1075 2748 2777 511 98 2708 2069 2924 2859 1330 1860 158 529 2284 592 1076 1547 1199 715 102 742 288 1336 392 2899 1511 1418 1340 396 2770 1668 2446 1491 2968 95 755 1384 2939 861 1397 1080 1908 1400 1884 1832 505 437 92 2467 2128 2864 2430 767 1213 86 1359 714 1496 1742 1429 1541 2751 1143 2806 946 2399 1472 2741 2355 884 473 1865 741 1729 1608 2658 2608 1238 491 462 2040 1859 1240 646 1907 2043 1122 2665 1874 2613 78 1285 1474 2590 2846 865 1442 1239 2278 2156 2974 1023 973 1002 299 2402 2848 1304 321 1712 828 1689 2880 2524 2214 131 2608 1366 2978 839 550 793 453 2522 452 1031 201 2230 1859 627 809 2577 61 921 926 2160 2561 793 222 1445 2934 2950 1086 2841 1118 148 1359 2421 2469 618 986 2761 416 129 1477 1266 510 1421 1570 2096 476 1303 2534 1809 310 1204 717 1194 703 974 1270 2484 207 1298 1934 2628 648 170 2272 1031 1286 1771 1214 478 1478 2661 106 2830 89 2517 2607 1274 764 2276 778 1388 2656 981 369 573 1531 2487 450 1584 616 2884 1430 640 2563 2074 2843 1436 2351 874 2657 1708 1097 2303 2045 1860 2834 1755 2429 2465 274 1204 2405 785 1609 1440 469 2079 1935 21 2034 2432 1823 1766 376 1475 2341 1087 1650 2846 1094 1268 2769 2743 2447 530 973 1824 327 120 949 1325 1012 2928 1252 1539 1668 2660 285 648 2336 843 1498 348 627 205 2853 1893 1847 1550 1981 837 267 1237 352 2669 655 1897 1207 1728 1281 188 1306 2072 917 2857 401 1370 166 370 2305 2027 2860 2986 1227 2033 447 2874 2589 2995 2383 1827 761 2265 179 2992 840 2721 1872 2001 1739 2527 122 476 2317 1870 1019 2127 1656 44 2888 1876 1270 793 643 50 1744 803 2435 1 2797 707 2744 2894 1775 715 1478 444 1776 828 2453 610 1612 1786 2935 2827 2839 2365 2625 2768 1730 1717 776 2765 2829 1324 1926 2854 1422 1523 2101 1975 2933 371 1602 2800 2323 90 668 10 495 1844 625 1264 1176 2551 1600 2188 1236 1723 2610 204 1892 2059 360 1140 738 611 1916 2732 1513 1274 279 585 2063 1285 435 1027 2949 2654 1275 810 2003 1175 1430 2252 2347 1625 268 2023 1665 80 1609 2545 1934 2910 2861 1182 497 333 1041 968 604 2247 1929 82 774 2619 1959 1607 568 364 1919 2479 1171 1711 2613 2904 2467 2140 2376 1289 2708 1983 1837 715 300 1204 1093 979 2289 1911 2747 1222 651 842 1706 2178 1822 501 508 1649 82 1309 1579 1408 1954 1510 1228 2845 2120 2601 2153 2485 172 2599 1221 2889 1527 2186 67 2708 595 1174 2593 1216 1525 2498 947 1852 426 1430 2211 2455 2736 2607 2663 994 992 571 766 752 802 1069 2501 1586 2134 1262 2078 2234 287 716 2428 868 713 1725 1487 2344 1954 514 1428 1097 755 188 1100 399 1837 2844 2373 1373 584 140 1063 2268 2373 930 2666 520 513 107 120 2729 171 1777 1269 1532 2317 1720 623 2606 2760 1892 2956 2458 2692 603 920 1842 2102 2222 2239 1369 2161 2091 627 1849 145 236 398 2138 351 20 1704 1000 1589 2112 2631 2315 1428 2742 2114 18 2195 2563 2457 971 2448 770 2913 2689 1800 63 1405 894 2781 857 1808 1758 509 1941 1749 1213 1064 2527 1849 413 1367 1892 695 754 2423 1202 471 2971 2730 878 1400 1314 444 362 246 207 352 1861 2409 1350 2470 2989 1496 1041 766 2792 550 1000 2619 2988 2474 478 711 2291 2125 314 1003 1616 594 2246 489 1628 2609 1488 246 2252 2206 2423 2466 2341 426 1706 2152 1538 1734 255 203 2923 1379 608 577 2631 577 1412 1085 2298 133 531 2936 1114 1828 2277 1451 918 140 1942 1785 2155 2469 2100 2831 1084 690 2256 2226 2647 700 1549 2526 896 2993 698 1147 1930 1673 799 2346 2870 1183 2460 744 2685 142 1825 2863 434 642 2414 1904 2245 1264 2031 2656 2488 918 675 2578 666 1564 477 1249 454 830 1863 2826 1334 1588 1308 2810 1489 2381 1588 1837 1733 1752 132 1337 63 574 2785 806 69 2138 1035 666 576 238 2601 265 725 1448 1053 797 446 2419 554 408 2403 2268 2465 692 378 1827 1904 2466 1208 285 1871 1306 1409 196 421 1174 2235 2996 894 2581 954 2615 1531 2123 1966 129 2765 2884 337 2548 1855 1594 2047 49 859 1502 2599 2541 1161 324 1490 1684 1278 2528 2150 482 487 628 233 1863 1361 1177 2011 59 982 1463 2510 383 499 1531 604 552 855 1254 2121 1134 105 2929 1557 797 2364 2495 2065 2218 1064 2087 2672 2039 2777 2909 518 1928 2419 2206 2108 2936 1960 1090 2746 1102 272 2761 1771 1211 431 2232 1948 1861 888 2645 507 497 2035 1928 1131 72 1258 2795 2347 2339 1187 1825 2564 750 855 487 1017 2619 2972 481 583 814 2152 224 267 224 1218 2393 116 160 1555 478 144 2286 2908 1725 1620 66 402 934 1146 54 367 795 2067 2930 2572 1811 1696 346 301 1920 562 1481 2499 942 230 1365 1911 478 626 553 2210 259 502 1259 1028 22\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 135,
        "task_id": 559,
        "test_case_id": 24,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "1 1567 1557 2761 2224 1136 2950 878 13 1966 2898 874 599 1834 906 231 2030 351 593 2992 1654 217 2317 43 1187 2798 1781 2836 2127 2686 1636 1811 1736 1171 1225 1081 227 1627 1118 122 142 1751 1460 2331 874 1753 2221 2829 1407 387 2623 2707 242 1899 941 2935 41 2324 1308 2476 2377 407 1444 197 1280 1402 633 641 125 20 2160 1786 2874 735 1620 178 622 1794 301 2263 215 1320 2162 2680 1574 2033 1276 1689 1144 2671 1268 183 2572 861 1432 2955 1023 1305 2733 304 2796 1518 2758 1331 1220 1533 2329 512 1662 1553 2274 515 2105 1467 2918 2430 778 1507 1868 2073 685 1604 1002 875 2297 192 2903 218 673 1715 1674 706 9 1101 2750 2355 134 302 2287 2346 902 152 462 2573 2274 2845 2643 2954 1037 742 1940 548 106 2837 952 47 248 20 1769 375 2836 2599 76 722 2236 2694 2949 289 563 858 1098 1395 1567 2753 2819 583 2660 2014 155 1493 937 1893 2653 2588 2839 2848 2801 188 578 2298 144 1232 2585 2827 1677 2502 2881 1416 296 84 2725 921 2162 833 14 1672 1481 425 698 2829 2980 2409 2 1796 584 494 17 2026 1048 81 25 1885 497 1740 46 1937 2585 2444 2837 1574 2940 530 1901 1000 1724 2678 1695 2349 1934 2263 2540 261 901 82 966 469 1797 2529 2416 597 2496 336 1175 661 1294 639 2282 1320 2917 98 2693 2851 777 2979 2719 1487 792 1301 1582 960 1871 1509 1067 411 1836 1739 2377 2771 1468 1043 2497 778 2556 1147 1539 1471 1439 1903 1596 2207 960 1902 1481 1961 2963 1987 2446 2215 1025 2252 477 1419 660 2473 1961 261 1737 2074 756 471 346 1718 2963 2577 2705 2287 1304 425 1593 323 693 2307 2979 1973 940 1436 2863 2593 2061 2142 1972 244 2153 1402 2957 2765 1890 78 261 2387 490 2860 2733 594 2238 894 615 1230 230 1131 632 212 1005 1745 2430 183 817 637 1818 2536 2729 1332 691 2712 1051 2060 1024 1025 1471 10 2486 2774 1481 2488 1335 836 1259 2085 1061 989 2673 2059 2874 695 2202 13 1986 624 330 1408 777 475 2304 1183 871 1743 274 1310 356 1458 1882 605 335 1432 2926 338 724 1037 685 786 548 2166 18 340 2100 2485 2843 1388 1954 680 1409 1447 2894 2924 339 2675 2461 1660 2969 2625 2247 1710 323 1637 2776 2355 618 243 1779 1058 1068 2829 346 1112 373 681 1812 202 2819 2744 206 1555 2029 1310 875 895 1989 2349 503 711 1344 2419 580 2130 2517 320 2033 278 2925 1284 1762 1960 1058 372 1155 2707 1685 618 2200 433 745 2076 2168 988 2251 751 2581 1948 393 1676 2573 549 84 1649 2095 1887 2765 145 1671 2520 797 2094 2042 766 903 1031 2058 2747 2569 2091 899 537 2923 1936 2848 2913 821 2244 2905 982 1251 2542 1243 1204 450 2037 495 802 1009 620 505 1520 2605 2709 2078 2151 1798 2234 427 2987 2543 336 1231 1399 1382 513 1023 2394 829 1063 2666 2478 147 3 199 2106 1252 1669 836 2212 183 769 2003 2785 2697 2841 842 2648 2099 1889 2226 2763 800 2607 2649 1935 788 1950 1023 694 1170 514 2652 2505 164 1013 514 482 1029 13 455 1931 2562 1541 644 1465 143 359 1438 684 438 191 1606 1655 368 1605 1062 2236 507 436 2594 1933 415 2360 1316 2355 576 2611 2028 556 2973 2007 1861 2672 2526 221 995 711 1423 670 1113 1591 2750 2452 209 339 1243 1880 2875 360 380 136 2797 2386 380 110 2867 2881 1536 2031 826 1143 2225 372 1771 362 810 2762 2405 2369 2189 2280 87 1017 2797 654 1576 67 2303 821 45 1157 1959 2984 2879 2362 2975 2017 323 2325 2648 1294 1321 2336 851 2600 2579 1758 563 1121 2350 2064 1970 1233 2385 1483 1392 1889 21 1543 1190 2225 2652 1656 1108 1839 1737 281 537 1076 2822 874 1108 1220 2732 1913 604 723 678 885 476 1056 181 1372 1773 2889 1157 167 774 424 301 1094 1473 26 1661 2733 2048 674 1850 502 34 611 852 2756 425 2489 598 626 1884 2088 718 149 1784 2571 2058 2 1575 1443 433 1480 1548 66 1361 1693 907 1522 1103 749 1344 1713 1829 702 721 620 1121 2154 2164 1318 2927 2732 769 2366 279 2466 2093 1527 2739 445 556 697 2125 462 1411 554 2210 2897 2341 1614 1248 528 1979 1300 156 292 148 2612 877 2160 1586 2892 2270 2811 1137 668 98 1456 867 509 949 2704 950 2948 2420 755 880 1318 1044 2421 1194 1139 381 408 1776 1787 2014 1409 1004 1708 2448 2243 1952 484 2698 1988 1307 1300 626 2874 565 245 976 2820 1485 803 1709 1934 2725 1900 1440 1830 2472 91 598 1873 2632 2313 1747 574 925 2180 98 810 1666 142 2979 2493 1275 1588 1439 2344 915 1269 1654 41 1594 1340 1880 2542 1373 1156 2356 438 2342 2690 1028 2616 317 2551 1633 1464 1436 872 2334 153 1559 1926 1792 247 463 2148 15 2923 1051 1932 2946 2131 226 1675 1860 2988 2826 2142 1132 1289 2979 2453 1850 2804 907 2917 1066 1879 1566 634 520 2164 785 1020 242 2441 2781 1526 2271 2465 365 901 859 838 465 2815 1889 1495 593 2711 1570 1233 617 1132 1729 2853 1166 1421 2364 79 690 207 881 481 826 1548 2889 593 1387 433 5 2973 230 312 428 2771 1263 2267 580 2845 2820 688 1376 1696 878 2627 2553 1550 406 718 1880 2451 2154 2561 1749 1877 2035 1281 742 1574 1262 2716 861 1107 2625 2787 1258 1476 1254 2191 2759 1892 1005 2259 169 2770 1900 1904 2260 1656 2613 2114 2477 1800 1781 198 2162 144 530 1633 287 422 2369 1885 340 203 2528 2940 1154 71 1205 2199 1467 1923 723 1237 2222 2631 1271 1070 1497 53 1297 1004 1424 229 71 2352 1266 1338 1315 2405 1456 287 1549 1595 1528 422 1285 1479 1013 2688 2556 2218 1595 2131 2821 856 607 82 2814 292 2094 1439 1313 95 1962 1589 1351 2315 2826 1208 2388 1903 1225 2922 2237 2575 685 1395 2770 919 953 2311 1555 208 1005 2392 2407 908 852 1462 545 2215 1158 1586 727 1369 2095 2728 2859 886 1345 2823 2876 2195 1153 1938 2034 507 1993 173 1730 170 171 1768 2216 2435 14 566 1031 738 2793 2519 836 925 139 1071 409 789 1406 1213 834 2612 2855 428 2182 2801 2343 1272 2025 2919 1330 2154 2028 2469 1828 959 1222 2928 1564 1488 1987 1149 1762 2700 459 1191 404 2175 554 156 2528 656 2322 2112 1796 2059 2091 693 1671 219 2414 805 2810 2195 2361 291 2797 1171 609 1995 2248 1185 2010 1190 236 2600 1522 2775 301 1485 2993 635 1391 2596 2812 1096 1354 1745 1379 2061 2566 2691 1875 58 2906 2613 1180 2062 2901 1112 1585 2967 2195 883 99 1234 1834 1856 516 841 2870 15 1446 1423 1444 1132 688 1971 2482 2093 2986 2608 2553 2449 2385 1042 1828 2997 347 2762 512 1865 1187 2537 890 2250 514 2161 2330 742 1525 1438 1186 1455 443 1509 2965 1534 1225 600 2288 852 1112 111 1865 801 273 698 692 2317 1939 2820 233 714 1614 1587 674 937 1294 1985 295 1940 1775 1848 1030 1472 1524 2667 2521 2194 2938 921 637 761 692 2556 2346 2879 614 1060 254 150 1509 79 1459 1827 301 2485 1998 55 1265 1797 638 195 2907 82 2547 2629 1028 679 1797 2202 48 565 1872 1706 2449 582 1847 1277 1847 2329 2052 1382 2332 1691 2970 1088 1833 1763 2736 821 1800 1167 907 502 2963 1074 1310 2167 1913 1845 1436 979 1600 198 2898 1469 1445 1965 2923 1738 664 850 1485 1892 2602 1037 1277 234 217 2009 599 1296 869 2868 1283 410 2934 2646 407 883 2081 1270 791 2924 2455 2 2639 277 1306 319 1398 204 403 2669 1896 996 2060 336 161 2474 2949 656 2803 1065 1448 1940 2111 2202 949 625 2164 1827 916 866 1881 1776 2151 861 1904 1542 731 2748 1092 2741 2725 75 845 1946 2786 1863 519 416 1364 1698 1072 2163 106 127 1413 588 847 2154 1941 2788 1202 642 2589 2102 114 151 1571 2008 562 1126 2195 1134 2646 971 472 2264 2 1810 1138 302 1903 1153 2082 124 1268 947 1010 1 1953 489 2255 1761 1885 2981 1855 2768 2136 2384 1312 2249 211 1254 894 1352 232 279 1592 960 1577 317 2960 2352 2662 1359 2263 585 1932 2206 1599 901 735 147 1417 205 2851 1431 1085 313 2555 111 1335 2940 1165 908 898 1037 2201 403 938 1706 1321 1059 1500 2163 1083 2609 1035 315 2449 702 715 1632 1836 1619 901 1427 2673 935 2940 2348 1542 2510 306 2884 1266 1909 2714 834 681 628 839 2964 1572 2829 893 1654 2377 457 696 1660 686 1508 1553 1328 2503 1036 857 596 1547 1024 1200 1235 1352 1107 1490 82 2886 2622 2196 1597 1743 2368 297 1494 2843 2950 488 2020 468 1260 2137 2332 2684 546 1774 2866 765 2277 2452 824 2463 2341 51 927 624 664 678 2382 1370 1896 367 189 74 1965 49 1167 992 535 1776 175 2743 234 389 1903 933 1293 107 1036 1475 1726 520 308 1564 2307 2642 1776 291 2063 975 26 2078 2009 1463 2777 968 1978 2887 157 2727 713 1392 1300 1898 1354 526 2041 1139 141 908 381 59 242 2638 668 2694 1429 1481 1044 2918 198 972 426 142 2013 2407 586 2376 2653 318 2153 2410 2075 1627 2752 236 2641 2167 2345 2490 1125 293 2756 1830 1060 2774 2207 2356 1747 2478 2610 2735 1765 2058 1378 1344 2746 2485 568 2007 1311 628 734 1278 2890 1791 1119 2510 2985 1728 2723 1795 1960 612 2197 1402 582 1361 2554 981 834 2370 952 1937 435 1387 1788 1279 2566 11 154 2971 982 2934 2042 2461 2615 2717 441 2627 1815 57 1596 1261 1406 578 524 950 1193 528 244 652 694 1203 2760 1872 2000 971 225 1946 2259 601 552 907 2723 344 138 2037 2399 2772 2466 2523 345 133 1062 1557 2040 2455 852 2586 2103 1171 1596 1005 718 392 1535 1982 1702 699 1106 42 784 247 2888 2279 1240 2697 2302 2202 2023 1355 861 1966 386 519 2492 2883 2630 2378 1831 2901 756 1299 21 660 926 2207 1642 2375 1091 1354 2596 932 73 310 1681 1706 513 1367 687 2724 1040 2731 1468 2542 689 1191 379 2810 1764 2472 1123 2954 1299 1343 1577 792 1060 205 2599 1046 239 261 1168 418 1881 661 2720 2350 175 306 1015 1335 1627 214 2273 71 387 1756 1011 2463 1617 2687 2353 2875 2914 2230 1889 1491 2527 1962 2030 1971 187 1133 1644 1446 1925 1695 1635 1111 1680 126 2321 2966 2751 1230 2878 2393 537 2413 413 853 1505 199 1498 617 1443 1147 796 113 2292 1324 1571 669 2943 209 2812 2445 2500 155 2032 478 970 1450 1198 202 2544 1441 144 1758 2658 1291 1747 1373 2054 2812 2682 1571 2622 1810 2565 1440 705 635 2705 918 2618 555 207 2726 1623 1327 341 473 1533 1399 2495 296 1296 1355 2063 2909 1797 2941 31 271 782 841 2300 2357 370 1979 267 406 1108 2544 1093 23 827 1282 251 1836 1264 2497 1121 561 1757 2836 748 473 2807 227 956 2454 329 2879 1119 908 329 1942 917 1248 1458 156 826 2481 1951 189 767 690 167 779 2116 795 1396 1864 1346 2322 1059 764 2199 1257 265 978 2140 1305 600 1565 2705 1908 2303 259 1037 1262 853 2901 2041 1599 1488 2207 1848 468 924 955 758 1903 553 2470 1419 450 783 1866 2144 551 2918 2761 1039 1341 2563 69 1349 2859 967 691 1722 1369 2561 370 1626 170 691 2067 2076 35 2825 1942 2385 426 1853 1925 2828 1262 1961 2921 429 2648 2658 546 2374 787 281 1023 372 2662 2061 1643 1521 212 2873 313 1635 1698 187 2307 183 2578 2086 1642 13 1803 2156 713 356 1709 1255 1885 2888 2778 518 2831 1879 356 778 1822 2812 1795 2148 1585 807 1935 1528 968 672 2046 1896 2509 599 2709 1745 2780 1598 2340 1954 474 1794 367 2489 1582 1905 2693 2786 928 257 2406 214 1360 492 572 1341 736 2161 1342 2538 2172 2795 392 903 1886 2390 2687 2749 490 346 34 1250 68 538 509 681 16 1390 1753 2693 2898 2702 2356 2226 2275 719 79 2500 1015 2238 864 1883 2129 2901 646 1095 1271 2406 359 2961 819 2559 656 1711 1774 2468 1301 2734 1713 129 670 144 930 42 2350 1538 2655 1122 951 756 978 625 2978 1295 2692 923 2132 2709 2867 2337 422 1986 2327 2970 888 1881 1760 2082 1810 636 1950 2970 2633 1390 1388 2478 2048 2657 308 2037 1118 560 1351 2573 101 2717 131 1654 1437 142 455 141 1663 344 180 2957 1594 304 1561 2264 1598 1552 776 2131 2218 776 2041 411 1075 2294 747 611 858 2328 1749 253 2979 147 2158 1626 1318 38 2431 2863 206 1639 132 996 737 1922 265 606 400 624 1576 1975 329 300 2140 1983 1966 218 1708 2433 1589 900 1879 2651 213 2431 689 2528 1852 1114 2745 927 1620 224 2624 1178 1138 1606 1233 1133 959 2951 1312 459 2823 2159 1436 391 41 1946 2320 1496 1234 1122 1633 2443 2117 156 191 2746 866 492 498 185 340 403 1059 1516 2858 2690 2162 1636 503 1646 1270 1368 836 932 1588 191 2847 644 2945 2583 1790 2603 1352 528 2326 126 1435 2990 2873 1370 1425 313 2915 1702 2290 1626 2959 2021 2629 1129 439 1335 1695 565 1743 2836 2206 141 2906 1758 2727 2037 2993 54 1346 1260 1801 2746 1937 1792 1160 2810 1482 2332 1503 2167 2489 977 792 47 1505 629 1776 1305 1037 1339 592 1832 1449 1661 2318 2392 145 1699 1625 1915 753 1227 1485 289 508 1741 156 2603 309 1196 826 963 707 187 938 2576 61 70 199 1385 1062 2081 2649 633 1642 27 2172 2398 478 558 1147 1087 2076 1491 1700 2496 797 1450 2742 2462 851 1060 881 2792 1245 2633 2810 755 1387 2760 316 1251 2299 1102 1809 1640 2581 2002 961 2641 805 2369 2988 881 1450 2228 746 1517 1896 1261 1154 2273 208 1038 87 287 972 2056 250 2874 2257 860 2892 1944 2202 101 2380 887 2130 1221 1031 85 796 1652 2064 1250 1820 2598 1796 2148 1889 1216 1848 1467 2609 453 1780 1232 1411 989 1109 1819 1869 311 1254 2337 2770 2465 9 2929 2080 132 1717 2321 86 1643 2598 1897 1244 720 174 2515 815 1168 277 2248 2285 2361 2773 2364 2156 465 744 1894 945 2069 2403 458 778 707 2320 412 1591 2808 1604 539 428 2218 136 2008 1942 2624 1647 1451 1983 2203 2191 2748 1716 2084 1124 728 1754 1825 2185 908 2480 2359 1104 788 0 881 2038 2515 2868 317 1239 1425 1425 1070 863 2696 589 2394 1890 1258 381 1545 591 2005 2610 1737 670 922 2857 132 1741 2212 359 942 2413 2547 2173 1288 772 1691 1863 2383 1078 1778 235 1733 74 2334 2672 1307 309 940 1904 2128 1257 220 1571 870 1528 531 239 1254 1230 1958 2530 1407 383 2239 2075 1556 1717 578 2236 1246 2404 2934 487 557 2440 2323 2483 431 2261 818 2715 2364 2292 776 2907 2461 460 5 2789 187 1546 334 663 2833 640 106 1066 177 1615 392 2360 2591 929 86 2497 840 2396 856 95 1640 2284 482 2590 1469 1478 1612 2698 159 390 1867 663 1848 1076 400 392 720 2541 2188 2372 2131 1107 2227 1730 1640 2257 480 1183 2660 168 2088 1918 1873 2346 1338 2418 617 5 2090 2207 1828 1283 668 714 688 1450 1020 364 1441 817 1322 1354 1055 1074 283 1438 2762 2294 2173 2653 1170 86 2300 1131 108 510 2492 1355 2605 2081 1130 1815 1846 810 1756 82 560 1373 1384 544 2871 296 2490 224 2972 506 853 356 18 2305 2460 121 607 743 2706 2278 173 2967 979 1962 1478 2311 466 2764 2357 2743 2096 1875 2414 1575 1745 2662 1648 2308 257 1592 1547 2609 985 2644 1495 800 889 2216 998 338 429 1224 2967 110 2862 613 1316 776 1814 2115 2010 1996 2161 418 1841 2083 1321 1344 2200 567 1592 1834 1684 219 2045 1587 533 2881 2694 223 2231 1722 786 2091 91 2261 1820 2662 636 1232 820 98 1589 2255 1617 2394 2302 1943 84 1655 1089 272 2884 1226 2630 1565 2325 1984 2450 1485 1551 1866 386 552 1992 1806 728 2963 1809 716 334 2728 2403 2407 857 1337 2310 561 721 24 104 1319 2748 1836 1175 2773 2662 2228 1187 524 92 1046 2911 15\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 136,
        "task_id": 559,
        "test_case_id": 25,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "1 1100 1403 1814 1065 1890 693 554 603 521 291 2206 409 50 1018 1173 730 2267 1531 1661 709 160 2058 2554 2336 2456 2500 2916 1669 512 2387 1575 2077 2461 2002 934 1742 2838 2840 2041 1848 2477 1608 2389 776 1884 91 1133 1715 129 947 1047 84 2430 891 2426 2489 2812 1231 1551 2668 1778 452 2365 1367 1201 1540 2564 1340 1491 2646 1570 2575 1444 1929 1607 1289 2372 70 2025 2242 1022 2574 344 526 2792 224 482 2376 1471 1639 501 2283 1137 117 2742 2205 2308 1646 2203 108 1839 1574 977 1058 188 2868 2851 2145 2286 1438 1327 2186 2401 1980 726 866 1917 403 2447 1597 2285 338 2923 372 1336 90 33 312 1314 2881 2156 2390 1876 288 1905 2198 606 822 1501 1650 605 2721 98 2835 2539 831 2404 2281 1936 310 2113 75 1527 260 1095 1901 797 992 2563 240 88 832 505 685 751 1375 1004 768 2081 863 1616 2192 4 1401 2613 1258 1261 1562 2772 2216 2412 2084 1164 2826 1636 200 1073 1693 2920 71 126 646 2836 640 2234 1219 347 827 1003 2667 678 2048 551 302 2310 847 2010 737 970 2355 2363 2166 1394 911 434 559 105 1538 364 1533 862 516 789 1189 336 723 565 707 959 2251 1925 206 1675 1114 1808 463 2469 1805 162 1259 2361 2965 1587 282 1303 2777 1718 430 2157 491 280 2102 2970 1089 1299 1376 2104 2171 896 1928 507 2885 558 2004 135 1549 468 1971 2822 235 586 2814 432 1358 298 909 1233 752 2475 2407 2582 147 2753 2309 2746 607 1922 2904 465 1670 1612 791 390 143 1352 2695 1488 2345 360 132 1248 2257 2527 2626 563 1506 1152 1622 2794 2424 289 6 602 2420 1887 392 2343 1159 325 619 127 1746 1240 2454 300 110 1040 1381 1606 189 969 1255 960 352 329 2020 2740 5 2501 1017 73 2326 453 466 2770 16 2605 1455 2033 2045 250 2091 2866 651 2338 1657 2307 546 800 1293 774 2683 284 504 2584 2347 2560 2938 1877 1388 309 1013 1671 2712 2194 2204 1208 243 389 2042 2948 881 423 455 2666 2577 645 1736 2236 420 154 1456 134 449 2064 157 1757 1344 2892 2260 2828 837 7 1702 824 702 1457 1234 1852 879 1222 648 2037 447 2863 350 1128 2213 2111 874 1720 2630 1964 1120 2410 2883 1357 2197 2505 2418 2686 585 1714 2028 2543 2232 2018 540 198 1872 1886 2291 940 2344 2259 1728 2433 1192 637 1933 9 903 631 1331 588 2015 239 1987 2428 1690 2619 1860 682 450 165 1560 572 2409 1783 2953 383 1440 528 1993 31 1111 1507 2252 26 1609 490 2179 699 1156 24 2408 683 1550 1568 375 1637 1300 2476 508 986 1961 819 1200 440 1161 2525 426 756 877 2021 841 1408 1316 2082 1963 20 1007 1069 292 307 1812 1864 2083 64 1423 2821 2134 2182 1000 2366 2467 2604 355 630 231 2184 201 2173 97 1735 1136 2016 1339 391 1243 2755 1510 2553 1236 1053 686 1851 2778 2818 1833 972 1556 2170 2795 525 1692 1820 1667 1311 2580 946 2946 1680 616 2825 536 1796 2258 628 1030 2377 2571 43 2315 349 28 810 297 2808 2829 1937 1410 517 1889 2592 2150 1788 2455 1400 1513 2854 2446 497 882 1523 1858 1481 643 2535 2429 2790 1023 675 1747 2340 858 2114 1175 2930 2074 2160 792 1490 1546 167 761 379 39 914 735 1769 2548 1734 36 613 2524 2325 2352 2062 956 1950 715 762 1479 1442 2728 1800 660 242 2288 639 1134 2815 1532 2761 2112 1974 124 1445 30 11 104 438 1960 2718 2796 1625 96 635 2732 202 274 1500 550 2201 907 2032 945 1846 277 1801 1760 1645 1103 1704 25 509 2086 365 2633 2265 2330 1854 80 1029 1277 1168 1228 1250 1458 2334 256 2693 2287 2538 2730 1001 467 871 1419 1420 2520 924 2738 804 2694 388 942 1545 2066 2357 1564 1973 2023 42 1215 1945 1213 2744 1406 2115 2275 1334 889 226 2682 2183 2100 770 1282 670 2245 1323 785 2787 722 2464 2303 2144 1186 35 2512 1121 511 1287 172 263 1396 112 241 1188 2235 2319 1750 2641 2068 1558 1371 2602 1154 823 2601 54 2419 787 1988 529 94 1434 2925 2572 1143 719 2163 1093 2700 990 363 433 2458 1701 2723 2298 2642 169 2961 186 668 45 1516 156 657 2940 1078 1195 938 144 2452 1099 303 411 2250 825 1802 2860 49 2917 2769 1915 1202 2640 968 155 2556 1537 2263 130 2047 2450 1898 496 2781 120 44 416 1752 1842 1875 2187 502 384 2540 1931 808 1096 2 2200 2806 629 2130 781 1386 1108 1206 1042 582 1413 818 100 2036 2346 1460 1535 63 323 1418 320 1117 2109 1673 1913 2001 2833 339 1024 1775 151 1155 1923 1005 1868 485 2677 2681 1083 697 1955 217 1779 1552 769 182 2266 431 258 1894 2094 168 1861 1782 1853 1979 2625 2462 103 2337 557 904 1731 2734 2402 81 2129 2680 2982 2293 141 2151 2888 859 215 2578 1745 140 1051 1485 2044 2149 688 1052 2585 448 964 1753 2942 279 1002 1567 2274 234 2485 1411 1617 293 1407 216 679 149 1954 2116 376 2737 2703 1291 1573 2876 2654 1373 1803 961 1452 1732 835 806 1895 195 1571 676 2847 744 2672 180 66 624 2628 2763 1313 1781 753 576 811 1397 1212 1644 3 301 1210 2443 196 2671 2079 1662 1809 1563 873 620 1227 150 55 520 2190 803 1594 1984 2127 480 176 1664 1010 1370 1502 2750 2008 1536 1163 1726 233 1385 8 2802 2227 2516 2522 125 2545 1433 1825 1169 2328 2653 273 400 2146 387 2841 142 252 1292 2673 1280 1469 2438 694 1654 2006 2335 1356 1097 1102 604 1621 1694 1021 1474 1940 1711 1727 1333 2788 1822 868 1118 210 77 728 67 1724 1032 1578 2378 672 1446 1130 1414 1918 1503 851 412 351 2228 617 926 1939 611 324 2518 1723 2931 175 564 2606 2555 437 860 1315 982 560 1205 2941 2178 2598 2752 1209 1343 1792 857 1014 2771 1116 1009 270 99 936 943 2645 470 1172 2629 864 2716 596 1818 2466 1504 1951 1815 2165 294 2507 1619 2493 1214 845 2809 930 341 225 1582 780 286 2704 2391 2976 1691 720 264 2496 1515 2055 2253 1126 13 2304 245 2589 1849 578 12 1204 1841 775 784 1687 2318 650 1238 254 493 2480 1909 600 220 2080 2762 213 378 1938 2510 1920 704 658 1041 2481 10 2003 2034 146 1653 906 932 2541 32 2211 2910 1067 1091 500 1183 2733 1302 1677 315 1615 1092 1600 2586 1548 2367 568 1008 2169 1695 2121 2877 755 2776 618 2026 343 2425 1389 1409 2416 486 778 1085 2897 1762 846 910 2333 2155 1290 473 1473 840 308 2912 268 898 1129 314 515 2688 2785 1521 2657 1674 14 405 1648 1404 2914 2468 705 1758 2444 1296 1075 894 2727 700 2256 1427 1223 1748 441 2261 929 2240 1821 2767 2714 1395 2011 1837 2373 1170 429 1057 2087 1465 1037 1080 396 745 773 1583 1880 1689 1519 457 1867 2384 1274 867 18 1806 1262 2662 1176 1031 478 975 1857 381 2239 721 1364 900 330 121 1144 1819 567 2907 766 2880 1056 987 62 2222 15 1505 52 219 980 1359 1398 2312 48 1817 1366 101 137 750 275 2600 1953 1016 1972 923 1638 2400 880 2322 2051 852 1512 1754 1043 1682 2816 2632 1165 927 40 2014 2138 584 614 625 729 1167 128 2846 2643 1269 1365 2000 1733 1935 2209 710 1260 462 1369 402 1347 194 471 2272 1033 2678 782 2486 2511 21 2107 2472 2106 1372 703 2557 2637 667 1944 113 1341 2591 1050 385 641 335 2622 2161 1892 2893 361 1232 2651 1072 593 1517 1256 2060 1755 2143 86 1631 698 56 1620 594 2617 2659 875 2820 1034 779 2185 1301 577 1911 2800 27 2709 1893 994 1764 47 717 2962 1286 2071 1859 2581 2046 1350 495 1681 1716 1229 2350 2861 1149 1321 1584 2980 93 334 1522 758 78 1828 1470 539 2097 469 72 1226 2049 1651 1705 1125 1912 901 1430 1524 2958 2884 2457 601 1320 484 1577 1278 2268 2631 65 2523 1225 949 248 2890 60 22 208 876 921 2437 2593 251 192 1270 2465 404 548 1 1100 1403 1814 1065 1890 693 554 603 521 291 2206 409 50 1018 1173 730 2267 1531 1661 709 160 2058 2554 2336 2456 2500 2916 1669 512 2387 1575 2077 2461 2002 934 1742 2838 2840 2041 1848 2477 1608 2389 776 1884 91 1133 1715 129 947 1047 84 2430 891 2426 2489 2812 1231 1551 2668 1778 452 2365 1367 1201 1540 2564 1340 1491 2646 1570 2575 1444 1929 1607 1289 2372 70 2025 2242 1022 2574 344 526 2792 224 482 2376 1471 1639 501 2283 1137 117 2742 2205 2308 1646 2203 108 1839 1574 977 1058 188 2868 2851 2145 2286 1438 1327 2186 2401 1980 726 866 1917 403 2447 1597 2285 338 2923 372 1336 90 33 312 1314 2881 2156 2390 1876 288 1905 2198 606 822 1501 1650 605 2721 98 2835 2539 831 2404 2281 1936 310 2113 75 1527 260 1095 1901 797 992 2563 240 88 832 505 685 751 1375 1004 768 2081 863 1616 2192 4 1401 2613 1258 1261 1562 2772 2216 2412 2084 1164 2826 1636 200 1073 1693 2920 71 126 646 2836 640 2234 1219 347 827 1003 2667 678 2048 551 302 2310 847 2010 737 970 2355 2363 2166 1394 911 434 559 105 1538 364 1533 862 516 789 1189 336 723 565 707 959 2251 1925 206 1675 1114 1808 463 2469 1805 162 1259 2361 2965 1587 282 1303 2777 1718 430 2157 491 280 2102 2970 1089 1299 1376 2104 2171 896 1928 507 2885 558 2004 135 1549 468 1971 2822 235 586 2814 432 1358 298 909 1233 752 2475 2407 2582 147 2753 2309 2746 607 1922 2904 465 1670 1612 791 390 143 1352 2695 1488 2345 360 132 1248 2257 2527 2626 563 1506 1152 1622 2794 2424 289 6 602 2420 1887 392 2343 1159 325 619 127 1746 1240 2454 300 110 1040 1381 1606 189 969 1255 960 352 329 2020 2740 5 2501 1017 73 2326 453 466 2770 16 2605 1455 2033 2045 250 2091 2866 651 2338 1657 2307 546 800 1293 774 2683 284 504 2584 2347 2560 2938 1877 1388 309 1013 1671 2712 2194 2204 1208 243 389 2042 2948 881 423 455 2666 2577 645 1736 2236 420 154 1456 134 449 2064 157 1757 1344 2892 2260 2828 837 7 1702 824 702 1457 1234 1852 879 1222 648 2037 447 2863 350 1128 2213 2111 874 1720 2630 1964 1120 2410 2883 1357 2197 2505 2418 2686 585 1714 2028 2543 2232 2018 540 198 1872 1886 2291 940 2344 2259 1728 2433 1192 637 1933 9 903 631 1331 588 2015 239 1987 2428 1690 2619 1860 682 450 165 1560 572 2409 1783 2953 383 1440 528 1993 31 1111 1507 2252 26 1609 490 2179 699 1156 24 2408 683 1550 1568 375 1637 1300 2476 508 986 1961 819 1200 440 1161 2525 426 756 877 2021 841 1408 1316 2082 1963 20 1007 1069 292 307 1812 1864 2083 64 1423 2821 2134 2182 1000 2366 2467 2604 355 630 231 2184 201 2173 97 1735 1136 2016 1339 391 1243 2755 1510 2553 1236 1053 686 1851 2778 2818 1833 972 1556 2170 2795 525 1692 1820 1667 1311 2580 946 2946 1680 616 2825 536 1796 2258 628 1030 2377 2571 43 2315 349 28 810 297 2808 2829 1937 1410 517 1889 2592 2150 1788 2455 1400 1513 2854 2446 497 882 1523 1858 1481 643 2535 2429 2790 1023 675 1747 2340 858 2114 1175 2930 2074 2160 792 1490 1546 167 761 379 39 914 735 1769 2548 1734 36 613 2524 2325 2352 2062 956 1950 715 762 1479 1442 2728 1800 660 242 2288 639 1134 2815 1532 2761 2112 1974 124 1445 30 11 104 438 1960 2718 2796 1625 96 635 2732 202 274 1500 550 2201 907 2032 945 1846 277 1801 1760 1645 1103 1704 25 509 2086 365 2633 2265 2330 1854 80 1029 1277 1168 1228 1250 1458 2334 256 2693 2287 2538 2730 1001 467 871 1419 1420 2520 924 2738 804 2694 388 942 1545 2066 2357 1564 1973 2023 42 1215 1945 1213 2744 1406 2115 2275 1334 889 226 2682 2183 2100 770 1282 670 2245 1323 785 2787 722 2464 2303 2144 1186 35 2512 1121 511 1287 172 263 1396 112 241 1188 2235 2319 1750 2641 2068 1558 1371 2602 1154 823 2601 54 2419 787 1988 529 94 1434 2925 2572 1143 719 2163 1093 2700 990 363 433 2458 1701 2723 2298 2642 169 2961 186 668 45 1516 156 657 2940 1078 1195 938 144 2452 1099 303 411 2250 825 1802 2860 49 2917 2769 1915 1202 2640 968 155 2556 1537 2263 130 2047 2450 1898 496 2781 120 44 416 1752 1842 1875 2187 502 384 2540 1931 808 1096 2 2200 2806 629 2130 781 1386 1108 1206 1042 582 1413 818 100 2036 2346 1460 1535 63 323 1418 320 1117 2109 1673 1913 2001 2833 339 1024 1775 151 1155 1923 1005 1868 485 2677 2681 1083 697 1955 217 1779 1552 769 182 2266 431 258 1894 2094 168 1861 1782 1853 1979 2625 2462 103 2337 557 904 1731 2734 2402 81 2129 2680 2982 2293 141 2151 2888 859 215 2578 1745 140 1051 1485 2044 2149 688 1052 2585 448 964 1753 2942 279 1002 1567 2274 234 2485 1411 1617 293 1407 216 679 149 1954 2116 376 2737 2703 1291 1573 2876 2654 1373 1803 961 1452 1732 835 806 1895 195 1571 676 2847 744 2672 180 66 624 2628 2763 1313 1781 753 576 811 1397 1212 1644 3 301 1210 2443 196 2671 2079 1662 1809 1563 873 620 1227 150 55 520 2190 803 1594 1984 2127 480 176 1664 1010 1370 1502 2750 2008 1536 1163 1726 233 1385 8 2802 2227 2516 2522 125 2545 1433 1825 1169 2328 2653 273 400 2146 387 2841 142 252 1292 2673 1280 1469 2438 694 1654 2006 2335 1356 1097 1102 604 1621 1694 1021 1474 1940 1711 1727 1333 2788 1822 868 1118 210 77 728 67 1724 1032 1578 2378 672 1446 1130 1414 1918 1503 851 412 351 2228 617 926 1939 611 324 2518 1723 2931 175 564 2606 2555 437 860 1315 982 560 1205 2941 2178 2598 2752 1209 1343 1792 857 1014 2771 1116 1009 270 99 936 943 2645 470 1172 2629 864 2716 596 1818 2466 1504 1951 1815 2165 294 2507 1619 2493 1214 845 2809 930 341 225 1582 780 286 2704 2391 2976 1691 720 264 2496 1515 2055 2253 1126 13 2304 245 2589 1849 578 12 1204 1841 775 784 1687 2318 650 1238 254 493 2480 1909 600 220 2080 2762 213 378 1938 2510 1920 704 658 1041 2481 10 2003 2034 146 1653 906 932 2541 32 2211 2910 1067 1091 500 1183 2733 1302 1677 315 1615 1092 1600 2586 1548 2367 568 1008 2169 1695 2121 2877 755 2776 618 2026 343 2425 1389 1409 2416 486 778 1085 2897 1762 846 910 2333 2155 1290 473 1473 840 308 2912 268 898 1129 314 515 2688 2785 1521 2657 1674 14 405 1648 1404 2914 2468 705 1758 2444 1296 1075 894 2727 700 2256 1427 1223 1748 441 2261 929 2240 1821 2767 2714 1395 2011 1837 2373 1170 429 1057 2087 1465 1037 1080 396 745 773 1583 1880 1689 1519 457 1867 2384 1274 867 18 1806 1262 2662 1176 1031 478 975 1857 381 2239 721 1364 900 330 121 1144 1819 567 2907 766 2880 1056 987 62 2222 15 1505 52 219 980 1359 1398 2312 48 1817 1366 101 137 750 275 2600 1953 1016 1972 923 1638 2400 880 2322 2051 852 1512 1754 1043 1682 2816 2632 1165 927 40 2014 2138 584 614 625 729 1167 128 2846 2643 1269 1365 2000 1733 1935 2209 710 1260 462 1369 402 1347 194 471 2272 1033 2678 782 2486 2511 21 2107 2472 2106 1372 703 2557 2637 667 1944 113 1341 2591 1050 385 641 335 2622 2161 1892 2893 361 1232 2651 1072 593 1517 1256 2060 1755 2143 86 1631 698 56 1620 594 2617 2659 875 2820 1034 779 2185 1301 577 1911 2800 27 2709 1893 994 1764 47 717 2962 1286 2071 1859 2581 2046 1350 495 1681 1716 1229 2350 2861 1149 1321 1584 2980 93 334 1522 758 78 1828 1470 539 2097 469 72 1226 2049 1651 1705 1125 1912 901 1430 1524 2958 2884 2457 601 1320 484 1577 1278 2268 2631 65 2523 1225 949 248 2890 60 22 208 876 921 2437 2593 251 192 1270 2465 404 548 1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 137,
        "task_id": 559,
        "test_case_id": 26,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 1 1 0 0 1 0 0 0 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 0 0 0 1 0 0 0 1 0 1 1 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 0 1 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 1 1 0 0 0 0 0 1 0 1 1 1 1 0 0 0 1 0 1 1 1 0 1 0 0 0 1 0 0 1 0 1 1 1 0 0 1 1 0 0 1 0 0 1 1 1 0 1 0 0 0 1 1 0 0 1 1 0 0 1 0 1 1 0 1 1 1 1 1 1 1 0 0 1 0 1 1 1 1 0 0 1 1 0 0 1 0 1 1 0 1 1 0 1 0 1 0 1 1 0 0 0 1 1 0 0 1 0 1 0 1 0 0 1 0 0 1 0 0 1 0 1 1 1 0 1 1 0 0 0 0 0 1 0 0 1 1 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1 1 1 0 1 1 1 0 0 1 0 0 1 1 0 1 1 1 1 1 1 1 1 0 1 0 0 0 1 0 1 0 1 1 0 1 0 0 0 1 1 1 1 0 0 1 0 1 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0 0 1 0 1 1 0 0 0 0 0 0 1 0 1 0 0 0 1 1 0 1 1 1 1 1 0 0 0 1 0 0 1 0 0 1 1 1 0 0 1 1 1 1 0 1 0 0 1 1 1 1 1 0 1 1 1 1 1 0 0 1 0 1 0 1 1 0 0 1 1 0 1 1 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 1 1 1 0 0 1 1 0 1 1 1 0 0 1 1 1 0 0 0 0 0 0 1 0 1 0 1 1 1 1 1 1 0 1 0 0 1 1 0 1 0 0 0 0 1 0 1 1 0 0 0 1 1 1 1 1 0 0 1 1 1 0 1 1 1 1 0 1 0 1 1 0 0 0 0 1 0 0 1 0 0 0 1 1 0 0 1 0 0 0 1 1 1 1 1 1 1 0 1 1 0 0 1 0 0 0 1 1 1 1 0 0 1 1 1 1 1 1 0 0 0 1 0 0 1 1 1 0 0 1 1 0 0 0 0 1 1 1 0 0 0 1 0 0 1 1 0 0 1 0 1 0 0 1 1 0 1 1 0 1 1 0 1 0 1 1 0 0 0 0 0 0 1 1 1 0 1 0 0 1 0 0 0 1 0 1 0 0 0 0 1 0 0 1 0 0 1 1 0 0 1 1 0 1 1 0 1 1 0 1 1 0 0 0 0 1 1 0 1 0 1 0 1 0 0 0 0 1 1 0 1 0 0 1 0 1 1 0 0 1 0 1 0 1 0 0 0 0 1 0 0 0 0 0 1 1 0 1 0 1 1 0 0 1 0 0 0 0 0 1 1 1 0 1 0 0 1 1 0 0 1 1 1 1 0 0 0 0 0 1 0 1 1 1 1 1 1 0 0 0 0 1 1 1 1 0 0 1 1 0 0 0 1 1 0 0 0 0 1 1 1 0 0 0 1 1 0 0 0 1 0 1 1 0 1 1 1 1 0 0 1 1 1 0 1 1 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1 0 1 1 1 1 0 1 0 0 0 1 0 1 0 0 1 1 1 0 0 1 1 1 1 1 0 1 0 1 0 1 0 1 1 1 1 0 1 1 1 0 1 1 1 1 0 0 0 0 0 0 0 1 0 1 1 0 1 0 1 0 0 0 1 0 1 1 1 0 0 0 1 1 0 0 1 0 0 1 1 0 1 0 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 1 1 0 1 0 0 0 1 1 0 0 1 1 1 1 1 0 1 0 0 0 1 0 0 1 0 1 0 1 1 1 0 0 1 1 0 1 0 1 1 0 1 0 0 1 0 1 1 1 1 1 1 0 1 1 0 1 1 1 0 0 1 0 1 0 1 1 0 0 1 1 1 1 1 1 0 0 1 1 1 1 1 0 1 0 1 0 1 0 1 1 1 0 0 1 0 1 0 1 1 1 1 1 1 1 0 0 1 1 1 1 0 1 0 0 1 1 0 1 0 0 1 1 1 1 0 1 0 0 1 0 1 0 0 1 1 0 0 1 1 1 0 1 0 0 1 1 0 1 1 1 1 1 0 1 0 0 0 1 0 1 1 1 1 1 1 1 0 0 1 1 0 1 0 0 0 0 0 0 1 0 0 1 1 0 0 1 1 0 1 1 0 0 1 0 1 1 1 1 1 1 0 0 1 1 0 0 0 1 1 0 0 0 0 0 1 0 1 0 0 1 0 1 1 1 0 0 1 0 1 1 1 1 1 0 1 0 1 0 0 1 1 0 1 1 1 1 1 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 0 1 1 0 0 0 0 1 1 0 1 1 0 0 1 1 0 1 1 1 1 1 0 0 0 1 1 1 0 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 0 1 1 0 0 0 1 1 1 1 0 0 1 1 1 0 1 1 0 1 0 1 0 1 1 0 1 0 0 1 0 0 1 1 0 0 0 1 1 1 0 0 1 0 0 0 0 0 1 1 0 1 1 0 0 0 1 0 1 1 1 1 1 0 0 0 1 1 1 0 1 1 0 0 1 0 1 1 1 1 0 0 1 0 1 1 0 0 1 1 1 0 1 0 1 1 1 1 0 1 0 0 0 0 1 0 1 0 1 0 0 0 0 0 1 1 1 1 1 0 1 0 0 0 1 0 1 1 1 0 0 0 1 0 0 1 1 1 1 1 1 0 1 1 0 0 1 1 0 0 0 1 0 0 1 1 1 0 1 1 0 0 0 1 1 1 0 1 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 0 1 1 1 1 1 0 1 0 1 1 0 0 0 1 0 1 0 1 1 1 0 1 1 0 0 0 0 1 0 1 1 1 1 1 0 1 1 1 1 0 1 0 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 0 0 0 0 1 1 0 1 1 0 0 0 0 1 1 0 1 0 1 0 0 1 1 1 0 0 1 1 1 0 1 1 0 1 0 0 1 0 1 1 1 1 1 1 0 1 1 0 1 1 0 0 1 0 1 1 1 1 1 1 0 0 1 0 0 0 1 0 0 1 1 0 0 1 0 1 0 0 1 0 0 1 0 1 1 0 0 1 0 1 1 1 1 0 0 1 1 0 0 0 1 1 0 0 1 0 0 1 0 1 1 0 0 0 1 1 1 1 0 0 1 0 0 0 1 1 0 0 1 1 0 1 1 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1 0 0 1 1 0 1 0 0 0 1 0 0 1 1 1 1 0 1 1 0 1 0 1 0 0 1 1 1 0 0 1 0 0 1 0 0 1 1 0 1 0 1 0 0 1 1 1 1 1 0 1 1 1 0 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 1 0 1 0 1 1 0 1 1 0 0 1 1 1 1 0 0 0 1 0 1 0 0 1 0 0 0 1 1 0 1 1 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1 0 0 1 1 1 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 1 0 1 1 0 0 1 1 0 1 0 0 1 0 0 0 0 1 0 1 0 1 1 1 1 1 1 0 0 1 1 1 0 1 0 1 1 0 0 1 0 1 0 0 1 0 1 0 0 1 1 1 1 1 1 1 0 1 0 0 0 0 0 0 1 0 0 1 0 1 1 0 0 0 0 1 0 0 1 1 0 1 0 1 1 0 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 0 0 1 1 1 0 0 0 1 1 0 1 1 0 0 1 1 0 1 0 1 1 0 1 1 1 0 1 0 0 0 1 1 0 0 1 0 1 0 0 1 0 0 0 0 1 1 1 0 1 0 1 1 0 1 1 1 0 0 0 1 1 0 1 0 1 1 1 0 1 1 1 0 0 0 1 0 1 1 0 0 1 1 0 1 0 0 1 1 0 1 0 1 1 0 0 1 0 0 0 0 1 0 1 0 0 1 1 0 0 0 1 1 1 1 0 0 0 0 0 0 1 1 1 0 1 0 0 1 1 1 0 1 1 0 0 0 1 1 0 0 1 0 1 1 1 1 0 0 0 1 0 1 1 0 1 1 1 1 1 1 0 1 1 1 0 1 0 0 0 1 0 0 1 0 1 1 0 1 1 1 1 1 1 1 1 0 0 0 0 1 0 1 0 0 0 1 1 0 0 1 0 1 0 1 1 1 0 1 1 0 1 0 1 0 1 0 1 0 1 1 0 0 0 0 1 0 0 0 1 0 0 0 1 1 0 1 1 1 0 0 0 1 0 1 1 1 1 0 1 1 1 1 0 1 1 0 1 1 1 0 1 0 0 1 0 1 0 1 1 1 0 1 1 1 0 1 1 0 1 1 0 1 0 1 1 0 0 1 1 0 1 1 1 0 0 0 0 0 1 1 1 1 0 1 1 1 0 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 1 0 0 1 1 1 1 1 0 1 0 0 0 0 1 1 1 0 1 1 1 0 0 1 1 1 0 1 1 1 1 0 1 0 1 1 1 0 0 0 0 1 0 1 0 1 1 1 0 1 0 1 0 1 1 1 0 1 0 1 1 0 0 1 1 0 1 0 1 1 0 0 0 1 1 1 0 1 1 0 1 0 0 0 0 1 0 1 1 0 1 0 1 1 0 1 0 0 0 0 1 1 1 1 0 0 1 1 1 1 0 1 0 1 0 1 1 1 1 1 0 0 0 1 1 0 1 1 1 0 1 0 1 0 1 1 0 0 1 0 1 1 1 0 0 0 0 1 0 0 0 1 1 0 1 0 0 1 0 0 0 0 1 0 1 1 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 1 0 0 1 1 0 1 0 0 1 1 1 1 1 1 0 1 0 0 0 1 1 0 1 0 1 1 0 0 0 1 1 1 1 0 0 0 1 0 1 1 0 1 1 0 0 1 1 1 1 0 0 1 0 1 1 1 1 1 0 0 0 1 1 1 1 0 0 1 1 1 0 1 1 0 1 0 1 1 0 0 0 0 0 0 1 1 1 0 0 1 0 0 1 1 0 1 0 1 1 1 0 1 1 0 1 0 0 0 0 1 0 0 1 1 1 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 1 1 0 0 0 1 0 0 0 1 1 0 1 1 0 1 0 0 1 0 1 0 1 1 1 1 0 1 0 0 0 1 0 0 0 0 0 1 0 1 1 1 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 1 0 1 0 1 0 0 1 0 1 1 1 0 1 1 0 1 0 1 1 1 0 0 1 1 1 0 1 0 1 1 1 0 0 1 1 0 0 1 0 1 1 1 1 1 1 1 1 1 0 0 0 0 1 1 0 1 1 1 0 0 0 1 1 0 0 0 0 1 1 0 0 0 1 0 1 1 1 1 1 0 0 0 1 0 1 1 1 1 0 0 1 0 0 0 0 1 1 0 1 0 0 0 1 1 1 1 1 0 1 0 0 1 1 1 1 0 1 1 0 1 1 0 0 0 1 1 1 0 0 1 0 0 1 1 1 1 1 0 0 0 0 0 0 0 1 1 0 0 1 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 1 0 1 0 0 1 0 1 1 0 1 1 1 1 0 1 0 0 0 0 1 1 1 0 0 1 0 1 0 1 1 0 0 0 1 1 0 1 0 1 1 0 0 0 0 1 1 1 0 0 0 0 1 0 1 1 0 0 1 1 1 1 0 0 0 1 0 0 0 1 0 1 0 1 0 0 1 0 0 0 0 0 1 0 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 0 0 0 1 1 0 0 0 0 1 1 1 0 0 0 1 1 0 0 1 1 0 0 0 0 1 0 1 1 1 1 0 1 0 0 1 0 1 0 0 1 0 0 0 1 0 0 1 1 1 0 0 0 0 0 1 1 1 1 1 1 1 0 1 0 1 1 0 1 0 0 0 1 0 1 1 0 1 0 0 1 1 0 1 0 1 0 1 0 1 0 0 1 0 0 1 0 0 0 1 1 1 0 1 0 1 1 0 0 0 0 0 0 0 0 1 1 0 1 1 1 0 1 1 0 1 1 1 0 1 1 0 0 1 0 1 0 0 0 0 1 1 1 1 0 0 0 0 1 1 0 1 1 0 0 1 0 1 1 0 1 1 1 0 1 0 0 0 1 0 1 1 1 0 1 1 0 0 0 1 0 1 1 1 0\n",
        "output": "0 2727 2487 783 2888 2669 2517 2949 469 214 675 1511 2844 2823 342 1397 283 2747 2512 1676 2191 2311 509 599 809 1525 2871 2151 1044 1068 2191 213 1131 1264 184 1428 869 1166 835 2722 1567 415 2337 2537 982 64 2639 1179 843 395 2681 2789 1276 2597 607 645 928 88 131 938 2682 1725 1668 1057 1306 2298 163 543 2410 2922 1266 806 1234 1281 1520 360 2227 1204 433 1676 2902 1755 1418 685 201 1121 628 392 1367 827 2905 1698 927 2241 1440 1434 1240 919 1793 994 924 1744 2550 440 2048 161 2797 65 2342 768 2409 2943 1739 1466 2017 2066 350 2362 2548 2213 1105 1743 2629 2665 17 2382 2017 1846 2328 2376 1236 36 1805 1158 1006 2409 2658 1556 2737 249 2021 1598 1412 874 512 1570 2052 132 1532 2655 2687 369 1041 990 1372 465 709 319 2878 93 621 1864 285 2119 1326 1010 160 760 1363 2181 634 1712 1317 1068 191 714 2657 2555 1426 2851 2091 1105 412 1079 291 1851 445 2187 2368 2330 2753 1009 149 593 83 1163 2221 1917 2562 1888 1651 1760 1888 2258 1666 2514 563 861 1010 2560 1466 2938 2494 2086 302 2807 265 555 2977 1011 268 1986 205 118 2003 2729 1012 770 1535 1506 2846 1014 2797 1636 323 366 1060 1377 24 2784 148 1525 2961 2661 1956 1871 2628 1470 1782 2127 1405 2538 1825 2524 2287 256 986 2267 2674 838 585 2802 892 2041 1968 348 2797 93 11 1001 2890 174 2252 324 2753 1058 2511 2465 2602 954 1252 1582 1458 2912 485 2316 273 2728 2887 2185 103 284 665 872 2443 1317 1031 1484 2438 2975 1314 334 1639 596 1786 1878 459 2703 1585 1237 123 275 1376 2698 808 1139 156 114 1257 51 2831 1701 898 1420 1335 737 2865 2821 1433 1395 2147 160 1745 1502 577 2820 1695 148 2412 1353 1845 427 2021 1457 42 1043 756 497 632 2151 1199 2699 2492 2799 2314 565 838 1795 655 1063 2199 1490 2207 1599 2211 2862 610 1807 2265 561 1395 2173 1691 1057 1603 293 2114 155 2326 1117 655 2151 2933 274 145 2717 439 2231 970 1338 1098 2274 1941 157 170 1132 127 79 295 703 1475 230 873 2105 139 2782 1032 2557 52 1056 798 2861 2061 484 371 2197 1114 1165 2543 2223 300 869 2448 1980 775 605 2564 1634 1864 727 1079 607 2867 1791 1863 1727 1329 723 1662 2783 498 921 2593 415 1631 1062 651 670 26 1218 2988 1996 1546 1611 1233 508 61 2924 2814 303 2657 2679 27 2761 344 1489 2733 2606 981 2657 2917 678 663 2064 2153 2425 981 1827 675 2203 1477 890 1296 910 2607 387 2012 2788 1322 2927 1075 674 2839 2425 2851 68 1489 1379 1496 2178 2466 1032 1408 297 61 2720 1479 1760 1122 515 2682 2522 2768 2159 1068 2365 1936 2471 2852 2275 541 861 212 1779 1354 1280 163 2065 272 1447 2823 1115 1933 999 741 583 2196 234 1282 1291 747 1403 1871 950 35 399 534 1516 2389 100 1239 211 649 1796 2492 2069 1222 892 97 1979 917 2284 619 2169 2001 2576 714 677 1799 577 759 1381 2406 2689 1268 1234 2231 118 480 1149 1073 1523 109 1558 955 2296 2245 884 1788 2800 851 1572 2250 580 2806 412 477 2595 2902 1380 1872 2689 2559 1486 2022 1960 1828 1393 1852 2287 1493 2001 484 2444 1984 2602 1873 176 13 1238 1453 2361 94 2877 2764 1382 392 1252 2436 2739 1761 1467 1018 1109 164 2401 2685 2572 602 2888 1407 2258 902 1161 2117 2690 748 5 1842 1731 1642 728 2073 2001 988 1180 1225 906 1858 69 1588 1131 2970 2288 2268 769 2623 1273 693 2003 583 2272 1222 1836 894 2595 2750 2579 1622 2628 619 1967 241 1589 358 2754 1414 56 2588 547 1058 904 667 2383 2379 424 466 44 1725 1995 2401 2358 496 2645 1712 1957 510 676 1749 586 1940 2019 1140 361 1172 859 26 868 1392 1617 1472 2913 201 872 145 86 94 307 479 753 257 300 1103 2245 207 2816 2476 242 2705 1114 296 2294 2611 2447 1377 363 1262 2598 1098 330 1991 244 445 1623 1320 1114 1476 1215 732 391 1956 2258 2623 413 468 2726 847 2404 1317 2745 2484 20 234 2313 1683 200 2915 2662 444 102 1206 1345 1444 24 17 354 1774 2804 2572 1705 2011 1668 2526 313 1739 25 2311 405 2195 1732 361 2687 257 1865 2712 2736 539 1662 1167 2120 138 1602 1303 2505 1414 2808 78 1326 827 231 305 1024 2109 446 2880 202 124 1157 1918 620 584 2447 2573 465 1029 2510 1741 2469 2310 1163 2010 2320 2550 1270 2988 182 604 371 2774 1269 2864 1613 2634 80 2233 68 2838 387 977 308 2580 2451 583 2295 1436 1675 912 1787 1155 778 134 377 1043 1159 2510 134 1360 384 1416 1854 897 599 920 2709 1751 1660 710 1941 2480 2470 785 2937 689 1931 2923 1175 1138 662 452 1320 558 751 2298 2275 1577 293 1546 527 680 2964 797 1557 37 1314 988 947 1226 2699 1242 1973 2205 0 2571 2599 883 1669 2428 1158 1169 251 2721 246 2876 943 675 1265 2572 359 1978 2986 509 47 1556 1012 1379 95 2385 2262 901 908 2773 301 2705 546 1691 1344 553 939 22 1479 652 1614 2554 2112 1086 746 507 1772 1875 2238 343 1758 1405 1772 76 1279 1659 2916 2336 2251 959 96 2805 1390 1268 349 421 2255 2983 543 345 774 1169 1485 2602 2599 1480 1979 1732 969 507 2269 2838 2246 1625 2375 2313 670 670 1487 126 1723 1198 2643 2457 374 540 2747 749 1888 1359 1903 1093 419 1252 707 2140 851 833 739 675 1015 2728 2205 303 1838 2059 694 691 2 2554 2748 940 178 2653 1831 224 180 1899 2399 2199 856 531 1372 2702 1113 325 1029 2295 2440 2236 670 1486 2068 248 987 1745 1268 1124 2160 1626 513 2862 2535 1534 314 2099 2924 1815 1778 1298 1774 915 2122 2906 334 1634 954 140 2236 2486 857 149 1195 433 2589 2675 2867 1377 548 507 2719 2279 2321 1329 1616 1943 2105 1188 91 2382 2511 2923 2991 2614 2852 1442 1305 991 586 229 200 1093 1487 2853 523 2878 2266 1766 2618 2751 2894 2954 2846 492 575 1588 1767 2602 2957 1543 680 7 936 115 2296 211 2366 1762 2158 615 404 264 2097 546 1946 2291 1241 2405 1080 1035 183 509 2514 54 2604 657 567 2675 603 2038 1669 1159 367 2086 1885 1227 538 1465 1224 327 1929 892 73 1949 1070 1606 479 851 1363 68 2937 2816 576 2522 464 1981 1450 532 1303 1972 2880 2689 2383 258 482 2154 2600 905 590 596 1227 812 2428 444 1149 2780 1939 1704 1549 2248 919 556 1197 234 2388 2556 1495 1716 629 2909 1775 386 1952 2765 1024 597 1720 2342 396 1346 2647 114 2971 1127 816 787 2488 1136 2203 2424 144 1080 2228 2750 945 552 2423 898 1914 2756 736 465 221 298 488 1109 1326 1091 1728 2619 2072 1510 970 2278 1033 2376 1069 835 2094 26 2896 2852 1510 2434 2555 1542 431 1524 1578 2898 2493 880 1690 2650 2061 2062 83 714 2189 1508 1815 716 2002 1150 1188 2882 773 680 1674 1837 2623 307 151 1368 2153 151 1857 1971 140 2335 2480 2618 858 1029 1737 353 679 1511 2735 2558 842 753 457 2762 778 222 963 2393 2830 1484 2727 2523 2758 1075 772 1068 2735 1474 349 437 2088 70 551 1268 695 86 532 2722 556 2106 1281 1146 2651 1246 1517 2065 2022 2446 19 1900 132 985 1761 2351 538 1611 1524 793 1338 2838 205 411 354 1457 1392 2156 2024 2502 2051 279 1477 318 2194 1103 1869 984 1661 1347 1560 2458 2357 173 413 1603 2549 2270 922 1404 2399 1443 1078 844 2796 14 2504 2502 1479 2449 633 2353 2669 1631 2097 155 676 1314 1151 1874 2992 471 1560 2491 934 2018 1751 1525 1891 2077 2417 2669 1279 1550 2987 1586 508 24 2941 1687 1905 1047 2928 356 482 1565 1632 2784 1897 249 1908 1249 699 2409 384 2581 2370 457 34 687 1316 644 2520 1994 2414 1776 1474 1105 1612 873 279 2991 2114 1357 1435 1664 641 772 1297 2619 2989 581 1148 2639 730 2521 119 1233 1658 2728 49 129 806 2746 602 1778 1361 2337 2221 1731 2197 2702 1478 2897 2186 816 2975 1080 1013 2462 1088 2618 2312 2354 718 2511 2978 721 2468 573 478 1493 780 991 2023 1681 1239 481 1491 863 661 1084 305 1879 2172 564 766 2771 64 776 302 2330 242 2519 1226 2545 1486 2659 107 1157 1787 1494 2098 839 2018 2142 378 186 2216 2882 1110 139 410 631 1441 2043 857 1275 2162 1689 2261 2469 1018 2132 1000 2821 2902 1101 2139 106 2933 955 2889 1853 2762 2877 1703 2734 1557 2680 1290 396 2722 2333 1358 2079 1861 2722 1183 1877 628 2806 1926 1102 1220 2084 2337 2477 1883 1730 21 258 2596 1893 1422 493 1685 1637 1633 1003 2754 2249 121 654 236 2646 50 2191 2090 2582 2658 1022 1750 2008 2567 493 422 187 255 99 2079 1391 2223 1883 833 416 404 1570 156 2273 58 1755 2439 2332 873 620 1374 2726 1086 155 624 2650 2540 122 976 996 1451 499 222 2676 2994 1137 2556 1124 119 564 2094 1250 549 742 373 2508 970 1017 2074 971 1424 1068 236 341 2175 280 480 1139 2025 1340 362 668 2700 1835 1647 331 2810 870 1221 910 255 298 2904 2782 1937 2199 2068 1629 1516 2858 2527 577 1235 2291 172 2049 501 1499 1840 1496 2377 1014 87 1480 2501 1622 2625 1646 550 583 2938 2304 802 1913 526 2125 2891 27 109 1361 516 1792 1188 1734 1483 1761 2446 1592 797 1050 2297 2349 2643 1435 1155 930 642 1522 660 2808 257 2394 517 1290 1244 2911 1542 375 953 1073 319 2492 1312 510 1837 301 2932 216 2233 1484 871 2286 117 537 1545 1249 690 1455 1889 927 960 141 276 329 1324 1469 426 1331 352 788 2101 811 1371 2606 2513 2273 2884 1144 2239 2965 1345 1875 2510 439 2382 2078 1403 971 2388 981 332 2944 2965 2452 287 1133 1510 2269 1132 1404 864 2651 1975 767 1085 144 1852 1234 1892 873 879 2895 1862 861 319 825 520 58 452 2897 2390 133 815 427 2633 1534 943 2724 348 2060 2386 1494 742 2896 2273 666 2025 359 1765 2950 1400 747 1582 1381 1653 2019 1537 75 1539 1067 765 2069 1516 980 1982 2979 297 123 991 15 1729 58 851 1245 2932 674 210 732 2071 2480 1942 2590 1791 1889 1040 849 921 1868 1178 2781 2886 1304 1988 2166 2979 1230 2803 482 2748 2421 1391 2063 1103 2982 901 2528 2579 1335 2954 100 1694 1072 1403 778 1940 2213 2797 920 883 749 194 1365 1001 1436 282 890 509 289 1748 1389 984 2955 1384 2010 1248 696 1553 165 234 1915 667 83 2347 1469 884 519 2166 2407 1476 2881 2201 1101 1131 1117 2929 2349 2789 2224 381 78 1540 1086 1629 97 1898 2979 1500 1740 1134 2051 2617 1931 868 1150 2843 888 2712 2737 980 613 695 1330 1352 1651 662 240 1824 2030 2263 2168 2139 11 2408 2379 702 2343 855 2759 1757 930 2923 973 272 1237 1863 1766 2381 1874 2441 1875 2489 2897 2328 259 2022 2899 2994 2703 757 2355 1823 2107 1927 422 2223 408 2785 1344 509 1451 1188 337 2502 362 270 1645 2951 2188 359 174 1150 1599 1855 1839 1516 2276 2376 715 2747 1001 373 2033 1600 1455 118 2665 1647 1113 809 2266 2791 1613 2538 368 435 2586 1794 18 2049 2231 46 376 375 260 791 1619 2857 602 572 849 439 950 382 1416 12 2271 2992 793 1984 2445 1707 236 2684 2199 838 1871 1616 2057 260 1820 1660 953 15 1777 112 597 1336 1416 789 673 2165 750 292 1414 2928 1970 133 2780 501 2061 1045 1135 19 1952 1375 2312 525 1108 264 1818 2376 2020 266 2739 1424 2086 2395 747 504 146 1632 577 2836 2484 1551 2750 322 689 2400 2789 1505 2499 2951 2403 379 2048 1697 2316 690 123 1396 2512 2060 1603 104 2948 278 1742 517 1727 1275 2816 1704 1527 1276 22 1648 1729 2496 1069 2595 114 1350 2841 2790 2096 1417 2036 1016 2177 978 1632 2236 2735 1622 2335 1493 2495 1644 1699 2830 2974 463 2466 1686 163 1708 2247 722 2358 172 2421 2982 2198 38 1393 1962 2328 2873 1436 1591 828 1660 717 953 1237 1161 209 1527 462 1706 2607 1137 1645 161 2678 2610 1834 35 677 2446 605 1323 219 2156 2890 2886 413 313 1149 2424 1629 2684 2437 1576 829 23 2440 633 324 85 2647 1900 1886 2552 929 2316 575 2038 355 1538 1611 895 1942 415 1643 806 2920 2823 2413 266 2784 673 1602 911 1888 688 1068 2835 1608 2708 4 586 1019 429 1424 1867 1186 1818 860 51 1666 1274 1132 1480 2024 2390 2551 707 2135 2580 741 1790 538 2341 1828 1749 2272 2824 2601 1943 173 279 1814 394 1517 612 1931 2283 998 1498 2753 2427 1325 2594 660 2511 2079 1648 1548 1235 418 1915 39 711 2197 2897 876 416 2616 300 2194 1394 793 1799 501 1778 533 376 2982 790 704 2558 1531 1094 2246 1395 897 1766 104 681 2354 2916 742 2576 215 622 2385 447 1530 375 2133 2807 1539 2365 2838 2357 2304 953 1444 1149 1609 2566 1966 1254 2710 1499 1696 2191 581 1752 2606 2014 1760 2114 608 1885 1939 785 727 1501 1698 56 2271 1247 1392 2958 2813 1500 196 164 493 994 2153 1423 87 1296 518 2863 1130 1651 2945 338 610 2443 2095 2729 145 87 382 598 66 2135 923 153 1789 1868 1286 1511 640 186 1206 1617 914 844 1491 1004 828 943 2217 1183 1083 1337 1099 2433 1504 946 2058 2557 340 2963 47 3 1253 824 948 1352 1158 2991 1341 2088 1217 1285 498 2399 510 1007 2800 1489 1143 2567 270 2167 2752 2735 1187 2945 1236 79 1375 639 210 1276 946 1766 932 1152 1390 2389 1143 2661 2777 601 1024 2987 2920 909 2310 2128 884 410 160 856 245 257 1361 1305 2056 760 944 1755 2900 724 2955 1315 926 1603 2611 370 2563 602 591 1093 936 1045 780 27 2374 718 1016 542 1818 871 1961 2551 2458 399 1408 2786 2447 2291 1898 2580 1048 2299 1351 292 2454 1861 1584 1510 1376 3 851 2106 802 2981 632 1478 1030 724 82 19 162 251 317 2805 2273 1049 2831 175 1875 2675 2349 943 104 2745 2155 946 1124 345 1878 1470 911 493 168 864 1907 238 1494 153 2471 1197 590 55 2408 219 2840 1587 590 2111 502 1532 2820 2219 1663 2091 2421 445 2112 2482 1301 1429 471 1477 802 2014 2584 260 2474 719 2713 2592 2403 1900 2958 108 905 491 1077 892 377 861 1199 1698 2416 14 812 1838 574 724 950 2986 2975 1480 2935 2660 2709 2146 2130 472 2408 1949 623 2682 2454 2096 251 1 2924 1946 1761 2585 1253 1553 2757 1242 1964 2661 2870 1533 911 2790 747 1649 1208 1421 531 1171 2536 1706 438 1474 293 2798 850 1445 795 1680 1515 11 2958 2582 1018 2443 485 2103 1157 763 2535 2346 1288 2519 850 267 1185 154 537 2017 593 2471 605 1140 1364 1567 2190 37 926 2386 915 1053 1883 960 2192 1622 2151 2700 756 1901 935 816 1911 1368 2228 166 492 2447 2119 200 1337 350 2685 1762 935 1872 36 2201 1156 760 698 2139 2552 1461 989 104 970 955 1971 886 2758 436 1377 387 531 174 1028 1637 1034 416 2951 140 2652 1004 1719 1588 759 1290 188 2040 722 2010 1270 2081 2218 2094 2542 1076 2037 112 806 2223 1629 1184 2167 268 1095 1177 1338 1807 2434 2312 1590 2562 2835 2875 1352 1259 1803 2810 1285 2188 2345 1999 2571 1715 2041 2461 1340 2064 570 2408 1053 1425 1097 2298 2755 1137 679 980 2295 1260 862 1996 1717 1017 1931 940 123 924 2196 2819 1447 1255 2209 2132 1249 2165 203 814 2128 1078 2841 1367 341 2707 2269 1252 711 2192 545 2068 560 1401 1520 419 404 1246 2588 158 2699 676 189 378 2875 849 837 2781 18 2593 759 442 1479 547 707 2333 2003 712 2027 710 161 907 2063 716 2286 1579 2097 2947 1317 2328 765 775 1882 2428 2358 508 1195 616 1855 1461 2962 1346 1141 2003 1780 1303 12 2914 1193 1450 1938 2631 290 545 396 1370 1412 1569 120 1516 180 1742 1422 1646 1186 1602 1083 2956 2326 508 759 2278 2070 1651 1452\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 138,
        "task_id": 559,
        "test_case_id": 27,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 0 0 0 1 0 1 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 1 1 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 1 1 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 1 0 0 1 1 0 0 0 0 0 1 0 1 1 0 0 1 1 0 0 0 0 1 0 0 0 0 1 0 1 0 1 1 1 0 0 1 0 0 1 1 0 0 0 0 0 0 1 1 1 1 0 1 0 0 0 0 1 1 0 0 1 1 1 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 1 1 0 1 0 0 0 1 1 0 0 0 0 0 1 0 1 1 0 0 1 0 1 0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 1 0 1 1 1 1 0 1 0 1 0 0 0 1 0 0 0 1 0 1 1 0 1 1 0 0 1 1 1 1 1 1 0 1 1 0 0 0 1 0 1 1 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 1 1 1 0 1 1 1 1 0 0 1 0 0 0 0 0 1 0 1 1 1 0 1 1 0 0 0 1 1 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 1 1 0 0 0 1 0 1 1 1 1 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 1 1 1 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 1 1 0 1 1 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 1 0 1 0 0 0 0 1 0 0 1 0 0 1 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 0 1 1 0 0 0 1 0 0 1 1 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 1 1 1 0 1 1 1 1 1 0 0 0 1 1 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 1 1 0 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 1 0 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0 0 0 0 0 0 1 0 1 1 0 0 0 1 1 0 1 1 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 1 1 0 0 0 1 0 0 1 1 1 0 0 1 0 1 0 0 0 0 1 1 0 1 1 0 0 0 0 1 0 1 1 0 0 0 0 1 0 0 0 1 0 1 0 1 0 1 0 0 0 1 0 0 1 1 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 1 0 0 0 0 1 0 0 0 0 1 0 1 0 1 0 0 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 1 1 1 1 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 1 1 0 0 1 0 0 0 0 1 1 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 1 0 1 1 0 0 0 1 0 0 1 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 1 0 1 0 0 0 1 1 0 0 0 1 1 0 0 1 0 0 0 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 1 0 0 1 0 0 0 1 1 0 0 1 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 1 0 0 1 1 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 1 1 0 0 1 0 0 0 0 1 0 0 0 0 1 1 0 1 0 0 0 1 0 0 1 0 1 0 1 1 1 0 1 0 0 0 1 0 0 1 0 0 0 0 1 0 0 1 1 0 0 1 1 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 1 1 1 1 1 0 0 1 0 0 0 1 0 1 1 0 1 0 1 0 0 1 1 1 1 0 0 1 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 1 1 1 1 1 1 0 0 1 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 1 0 1 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 1 0 0 0 0 0 0 1 1 1 1 0 0 0 0 1 1 0 0 0 0 1 0 0 1 1 0 0 0 1 0 0 0 1 1 0 0 1 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 1 1 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 1 0 0 1 0 0 1 0 0 1 1 1 0 0 1 0 0 1 1 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 1 1 0 1 1 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 1 1 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 1 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 1 0 1 1 0 1 0 0 0 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 1 0 1 0 0 0 0 1 1 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 1 1 0 0 1 1 1 0 0 0 1 0 0 1 0 1 0 1 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 1 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 1 1 1 1 0 0 0 1 1 1 0 0 0 0 0 1 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 1 0 0 1 0 1 0 1 1 0 0 0 0 0 1 1 0 1 0 0 1 0 0 0 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 1 0 0 1 1 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 1 0 0 1 1 0 0 0 0 1 0 0 0 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 1 1 1 0 0 1 0 1 0 1 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 1 1 1 0 1 1 0 0 0 1 0 0 0 1 0 0 1 0 1 0 0 1 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 1 1 1 0 0 1 0 0 0 1 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 1 1 0 1 0 0 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 1 0 1 0 1 0 1 1 1 1 0 0 0 1 0 1 0 1 1 1 0 0 0 0 1 1 1 0 1 0 0 0 1 0 0 1 1 0 0 1 0 0 0 1 0 1 0 0 0 1 1 1 1 1 0 0 1 0 0 0 1 1 0 0 1 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 0 0 1 0 1 1 0 1 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 1 0 1 1 0 1 0 0 1 1 1 0 1 1 1 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 1 1 0 0 0 1 0 0 0 0 0 1 1 1 1 0 1 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 1 0 0 0 0 1 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 1 0 1 0 0 0 1 1 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 1 1 0 0 0 1 0 1 1 0 1 0 0 1 1 1 0 0 0 1 0 1 0 1 0 1 0 0 1 0 0 0 0 1 1 1 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0\n",
        "output": "0 1376 2941 2946 2489 1588 2221 2110 908 2422 87 641 2422 1359 2152 2534 1665 2207 1030 2906 2269 1308 180 2296 458 149 1624 863 701 2853 1306 2317 1311 2427 204 719 2389 1548 1021 1179 2149 1967 1231 2688 2610 960 2399 495 487 2832 2081 2920 525 1297 1266 968 297 1254 2955 1081 912 2960 2915 977 1045 1210 460 120 1500 575 274 447 1877 2113 2247 317 2711 2443 1023 2785 1970 1984 43 191 1960 2850 2904 87 2875 1573 2029 923 380 138 1204 1383 814 596 2991 455 134 144 367 1675 2609 1415 2380 1146 2741 219 2560 2873 92 2815 465 1917 1773 1563 529 771 2638 292 1868 55 1139 2480 753 491 2452 2128 881 568 2471 2948 810 36 885 1908 2991 729 514 2467 2654 1884 2587 2727 2548 997 1674 2452 2974 106 749 2459 2414 2819 1296 1620 2324 2913 1249 97 875 808 478 720 475 1411 1307 1231 2671 2189 1435 1231 1615 114 1144 1589 1497 1795 1045 2228 1030 1947 166 700 1508 2947 1566 873 1129 79 2126 200 2919 148 1832 2545 592 2126 2515 409 1899 2019 2949 2232 791 2977 1410 2619 2951 1564 751 636 240 809 2973 2949 897 1559 1026 1212 961 1629 935 2881 2821 1267 1616 66 1178 932 428 1297 2357 1635 1465 832 2866 802 2323 390 2576 477 1046 458 2402 2319 1075 1300 1820 153 323 2406 24 1463 921 1069 2454 1751 611 2675 2922 972 2821 2998 749 183 2458 2365 971 2285 1529 2116 2998 2870 1253 1830 178 1205 1506 1903 638 659 1084 1071 254 2616 1622 2583 243 1659 1593 509 1667 1496 2195 261 1453 720 2602 1908 1235 1152 45 2874 371 220 2389 168 91 2233 56 1658 2292 1130 2509 482 2447 2661 1669 470 2387 39 1161 956 2111 2147 740 398 1528 444 1860 1928 528 2734 993 2422 2827 537 1827 2492 2148 2712 102 1869 80 1087 840 700 2521 1550 1327 659 661 1998 2660 1188 1001 1610 1285 106 2176 709 519 1906 1501 632 2273 2693 2527 2786 2610 2334 436 882 41 1149 1450 218 629 599 1146 2294 747 1252 1664 2092 2059 461 2774 1032 1045 2104 598 2685 2009 995 894 493 1188 1124 1132 2445 542 1643 2183 1381 1315 2406 688 976 1271 2994 395 1533 2968 234 971 1048 2636 633 1642 2738 826 35 2557 1909 588 2830 2545 1990 261 2625 985 1193 980 1345 1239 759 806 2216 1508 363 282 1394 563 920 2966 121 553 1039 1662 215 2277 1923 1665 1501 2200 2203 2462 2173 312 1640 2436 2327 1481 752 452 2277 2407 1363 2767 936 2773 72 49 2967 792 694 1687 124 2268 394 744 1462 2987 1106 2658 2789 2816 934 2049 2392 2694 930 507 294 2829 1324 2647 2845 1275 726 2034 2819 2312 1763 822 969 1365 1108 877 2020 1116 213 842 2592 1694 909 1446 2057 1495 2123 2649 1263 2405 1174 1438 1998 1987 1086 949 2329 530 1469 2356 1856 2938 2113 279 712 1382 2002 2993 2894 1063 477 334 527 1467 5 1868 2362 780 1299 2110 2522 962 1794 350 842 42 2293 2734 460 2679 2234 528 2414 944 2414 1867 1049 1553 1819 2613 342 756 520 2571 1398 1065 2848 1387 542 756 1335 2181 859 2910 122 875 1009 1337 232 1459 1829 2879 2448 1495 1797 2437 2248 2508 660 1465 514 1722 2262 2231 2173 1857 2429 2748 957 379 1353 436 2989 151 1378 2257 2149 1523 1382 1473 2359 2908 4 1553 1926 2146 988 65 1870 1477 531 2127 1746 2861 1338 1019 1557 2603 2548 1591 558 1068 2140 2889 648 2225 300 2987 1441 240 2032 1239 2461 1180 139 252 1264 1461 67 2522 120 2228 2649 1365 185 2556 1799 876 1509 2599 1840 898 258 2910 2712 2259 2539 1537 275 34 35 717 1251 2128 1232 611 2183 2956 1349 581 1423 2557 2020 1767 1494 2143 721 2761 1698 2758 1847 134 2391 790 2710 1685 1348 414 1719 2860 2524 2676 1726 40 2121 852 601 48 1778 1376 926 2067 2375 1303 2946 1423 1647 1860 1699 463 1273 1583 562 1663 1003 1584 2190 635 1583 1075 1872 1157 441 2015 91 998 2595 2401 2322 312 1037 938 552 32 827 2686 197 2379 2213 1264 1314 988 1436 956 2634 2804 61 40 2829 1697 2303 2828 2442 1636 2186 2220 2916 1229 2253 921 643 2865 692 2554 1757 1384 1671 1059 1352 261 2214 2364 2087 228 798 1057 18 634 2700 26 2669 2601 1903 2387 2810 1554 1323 1097 1683 2242 2948 664 101 1924 1078 1479 1227 1431 1338 902 2608 1258 2093 2464 2765 2463 1165 852 609 1731 590 659 182 1856 2900 903 83 2007 2527 1995 2845 807 1821 1033 1199 1927 1468 617 2799 1017 1506 1824 670 1483 1729 163 499 80 2947 896 538 95 2134 2571 1344 1097 1663 816 153 1361 2897 401 1032 2328 1611 938 804 2294 300 1591 2836 2096 219 275 307 712 2706 2668 2716 1975 79 2524 239 2491 1495 499 1867 824 474 943 552 1388 2519 2985 426 1561 1718 2427 1987 1211 2821 1571 2796 1397 488 2870 2015 2391 2987 2301 1206 212 1360 2792 1055 2387 2634 1191 1427 1988 2419 1139 1433 1314 801 1129 1501 1065 2639 2235 645 1087 1469 2249 1503 2012 785 2512 2170 1983 1404 616 2956 1915 1520 1479 2432 780 1129 1327 21 1884 1699 2438 71 1621 2302 1061 1408 1170 1840 765 2868 2797 1637 2284 1154 796 2812 2574 725 2293 2029 2729 2087 1232 59 2510 2610 2280 580 688 1699 2765 205 2380 1328 2282 424 75 542 1343 2544 247 602 184 1778 2398 754 2683 1276 841 2817 999 2133 522 2418 909 486 2701 2216 1233 1759 1111 2939 1503 2804 2879 2599 681 201 2975 2733 2199 825 744 1173 209 2376 1517 2059 681 473 2334 206 2053 1394 935 2936 2706 2309 2077 461 1044 2052 357 1739 95 1696 2706 879 108 2503 701 2488 1230 46 140 2847 2507 2856 2112 1891 773 163 1025 1710 485 2116 80 1155 1480 1314 1910 597 768 1001 901 1163 1828 513 1006 497 2269 1469 1391 189 1896 386 1847 2004 1841 2557 1019 2321 1549 2316 2463 1678 1041 507 2580 2348 886 2219 459 321 2613 961 2070 2429 1006 462 1372 2919 1985 256 1787 811 2970 857 40 1644 1213 1 2083 1543 709 1047 2725 2750 659 2183 2439 272 1336 165 722 859 2994 136 2340 1774 126 560 1672 1815 2718 272 986 823 2903 1818 2430 2337 2615 605 463 1297 2487 638 2781 2726 2707 727 2660 2370 1921 1659 466 1227 1996 1398 963 567 738 2145 2504 2069 2845 2458 948 2070 1734 2229 2366 127 2812 2323 2715 1291 2178 265 2427 956 943 452 1499 1084 88 970 793 1731 1938 2183 2321 2818 1267 350 969 1141 1014 1759 852 1455 2101 2394 2729 2610 2298 468 1165 205 1323 1379 418 1301 122 2716 275 51 2269 2570 90 1955 2596 386 2757 368 2287 1714 574 1721 1321 1171 1599 1133 257 1793 2560 2373 1241 255 95 2957 1203 760 980 2928 1066 511 761 2073 1861 2062 1170 170 2259 2553 2699 1324 2919 2069 2533 1237 1242 2585 87 481 2627 1393 993 2582 68 1827 2277 1139 1058 2350 1953 2156 1925 2517 2440 824 2189 2799 2001 2543 986 349 1265 2912 465 156 612 1874 907 327 2339 2494 150 375 1797 1860 956 74 2921 2442 521 148 684 505 1447 514 2008 2571 343 2195 1598 183 1872 1001 565 2285 1288 2836 727 339 1614 1895 645 908 1516 583 2412 1076 594 1959 1664 2359 2559 2193 2394 1078 2011 586 1915 2014 2194 1707 1554 604 642 919 680 798 2297 369 1928 482 246 2927 354 373 2434 252 1431 1420 1430 963 878 2660 1820 1174 2807 337 1265 1910 561 330 2431 2576 1926 1951 479 1517 2249 356 1007 1018 2472 1709 2311 2128 1794 1606 2172 656 2734 1812 2263 347 2822 1266 1293 2082 1306 426 304 1350 2952 2751 1144 457 1100 1498 1480 2669 2510 2292 249 920 2861 75 584 1145 2881 409 2111 1850 2727 1994 767 2651 962 2429 2892 1430 561 2918 1885 394 2653 1169 366 1910 2448 2355 664 226 303 77 2117 1060 125 1041 1597 555 308 701 542 2904 643 1344 2806 1014 1042 1937 2614 2698 2623 13 1067 1884 1681 305 16 2676 1192 1532 801 1034 694 398 1760 1455 982 2528 2838 2272 253 2816 2047 602 973 908 353 2038 1697 1032 129 691 2967 925 622 1391 1732 1622 1500 2539 751 616 2646 2764 347 2048 428 2502 1881 2233 2470 2792 650 2995 2032 1930 26 614 817 9 1229 2843 92 564 2482 305 2831 2022 2053 2893 1998 2622 1700 2618 2654 398 2944 2850 1634 2758 224 1778 2517 2314 240 2832 643 1043 591 345 1988 1441 62 1199 2692 2650 604 273 2686 1960 671 2356 2750 2481 340 637 2910 1169 1672 619 1750 563 525 20 544 1399 2321 2598 2547 899 1578 2830 103 2697 2764 832 1027 1383 333 1635 485 1666 193 676 484 1463 1131 961 1540 379 1152 2098 1198 1929 1045 2821 1811 1099 2099 1986 2419 1484 707 379 806 1122 1709 2467 1798 1910 697 98 1802 2954 2832 1252 1429 1146 142 2977 403 2337 1959 794 763 1269 2897 669 1912 2745 367 1245 2032 1042 881 2326 2121 1523 621 1019 1527 1436 888 13 876 1644 1852 1849 283 2114 184 2992 1199 2613 2632 1638 511 712 262 2074 2042 305 934 2127 2505 2295 318 609 1601 1761 1171 1562 2419 202 687 454 194 1771 87 2591 1792 2007 921 2050 2748 1776 2135 1043 2578 2617 2492 446 668 1754 2129 1130 1800 2971 1670 153 424 1095 894 2054 1427 1912 591 2245 947 2639 1939 1998 2948 2035 206 309 526 596 2374 317 2937 2129 2598 646 1200 2096 2502 653 356 273 51 2079 1177 2876 693 2830 1599 1512 821 1918 1587 1897 2444 2948 1239 2531 359 1529 1183 1135 1626 476 2898 1524 166 1241 542 1708 2132 851 1420 625 31 1823 676 221 616 1194 2156 2719 1553 48 253 1704 2117 2285 1908 28 575 1796 831 1778 881 1315 1948 1728 1475 1297 715 837 558 850 2067 2896 2594 867 467 11 1343 1905 2130 2230 1274 2858 2144 2896 1390 961 1075 1883 746 2762 2602 2389 2046 195 1923 1831 2253 521 342 1671 2768 8 851 325 380 750 626 2155 2721 326 1296 2083 1722 1664 23 2037 524 1695 2917 2764 2092 1243 1828 982 2577 1522 756 922 1618 562 979 219 1073 129 582 2847 2451 961 2901 1003 385 2404 990 723 1463 2769 2339 298 1757 1560 1098 2702 1766 733 1355 2162 1680 2927 1145 1754 779 1708 1921 506 2630 2161 1759 1610 2904 2745 764 957 1627 1986 2859 1754 548 481 1129 2749 562 1803 641 2381 439 1272 481 405 292 1955 2189 2732 376 525 1263 2832 291 889 1064 1213 2759 1011 1853 2961 528 548 1565 2667 2765 475 1987 2059 2547 2741 959 2604 1115 1839 427 390 889 674 1030 57 13 965 239 554 202 837 1673 1623 2390 1223 856 2507 358 914 1797 1919 2406 1409 761 1172 2316 735 2051 1559 2200 734 1502 1623 723 2116 277 2018 883 1865 479 1978 798 1601 157 526 1251 2599 2720 1978 111 74 294 2828 2577 777 839 2169 604 1142 2756 565 544 632 2557 2989 844 2742 853 2207 271 2930 2677 470 2203 1090 1679 2790 708 1036 238 210 703 1665 72 1155 2732 1165 2476 957 2409 2886 2582 1124 1806 1292 2956 1582 1410 222 748 2876 2502 476 1208 716 934 2110 410 957 526 2213 658 1539 1111 2864 1384 675 1995 2618 1701 2126 2460 1816 2939 803 2168 1562 1391 182 420 2853 1733 1238 73 251 2131 2537 1095 2295 1048 992 1465 455 534 2430 1909 547 1688 2058 1140 197 2861 747 747 726 333 1985 1273 2803 669 217 436 908 961 602 2329 1479 683 2392 1837 405 524 762 2561 2248 1693 1389 1532 1084 1727 2253 1278 2646 657 157 2393 2150 1797 2975 257 409 607 149 2196 1819 122 318 1216 2587 1039 1746 476 1332 391 204 345 597 2592 1797 322 2433 168 1594 1630 532 720 2617 2610 854 2254 738 1981 1723 625 374 1952 1786 1844 688 607 615 1721 299 2883 2776 1985 472 1448 1501 2963 1824 1438 2091 349 2867 230 859 398 2621 704 2467 2257 2430 1457 987 2270 7 1935 2394 1385 1246 315 489 2528 2341 1274 2689 1929 389 416 2006 2083 1852 248 2369 2117 2589 1014 1772 1424 438 1797 1018 899 324 8 1127 2142 2479 2117 2043 166 2374 2197 917 827 2357 1214 137 1565 1093 2014 2135 186 432 2486 2832 164 990 1752 2325 1466 453 2506 2353 1568 2803 2516 2653 2429 2148 260 1563 905 2787 2883 1132 932 1859 2213 707 2134 2541 2310 845 2774 704 281 2169 2225 1742 1025 2819 140 2662 11 1997 2586 1884 2907 2244 2114 2125 406 1126 2301 232 578 139 2237 523 1530 2830 1564 1144 1601 2165 1595 2518 2122 1180 430 1618 470 819 403 2135 2429 2 301 1960 2538 2371 2651 1394 1020 1264 1412 964 2399 1720 287 1050 1315 915 743 2986 757 612 2160 937 1773 2051 2449 2094 310 587 1492 2254 583 1810 1177 2128 1107 351 695 2087 939 489 2325 2289 533 2350 1395 2788 1374 2565 2756 776 2086 1527 88 537 1102 955 2981 1961 2355 2586 1243 21 818 147 2607 1582 925 34 1596 605 2436 1366 1693 2005 257 2795 755 690 904 1923 2335 2331 2406 663 1987 27 561 2788 2581 2230 2445 211 57 2360 1178 609 225 200 792 1379 1656 406 744 1584 1799 644 2483 2635 2281 1664 2088 2012 1341 1319 181 2848 2767 812 1556 191 1304 605 1822 1736 1177 2305 2852 380 868 102 1160 2895 44 2623 869 1700 897 57 703 709 2398 1818 2563 1720 2819 2972 1597 2179 763 2009 299 178 166 1039 2221 433 148 786 2136 1599 1193 64 840 844 2725 2958 986 2210 1728 2436 1499 1863 671 2756 2274 2445 438 171 194 2035 1792 1290 670 494 2541 824 2803 2395 1958 377 315 1417 2990 594 567 508 2491 937 1517 2028 2997 2451 1853 879 1033 2645 225 149 1088 2416 2849 1671 2841 169 707 2487 1545 1935 2893 1714 392 2578 172 1792 2233 668 327 1738 2216 1193 2832 90 2213 2330 282 2721 2982 2515 1028 284 1135 975 190 232 1907 1954 2399 908 1275 47 1899 2758 97 2000 1703 917 2358 880 2901 2460 2493 622 2362 947 2522 1728 2557 1705 1652 1881 1195 577 1245 1403 1518 1854 898 2252 1818 79 2764 968 1955 2279 769 27 1363 2555 722 2087 2203 2994 553 2124 722 41 1586 444 1778 1593 162 2535 615 2882 2885 1790 1982 749 1029 390 872 243 901 30 1257 811 381 2544 2608 762 1874 1979 2744 1489 2329 2660 2243 2672 164 2435 1095 1343 2718 1950 802 2225 1002 1396 1874 2588 1378 1065 414 2454 2112 933 348 2007 2365 835 2024 968 2389 994 2017 158 1247 1358 2636 2103 328 2334 750 2010 2820 151 1648 2004 736 909 1167 34 1619 946 1062 284 1009 2910 656 2066 285 851 1369 2219 1840 508 2973 695 1779 2131 1153 608 2487 1006 2621 2311 1971 1694 1887 834 2256 2974 908 1246 1884 2226 2850 950 433 2161 19 1713 525 846 1457 1027 903 2607 485 2533 156 1193 1568 765 2535 2147 883 458 690 2254 2236 2413 1925 2456 245 1109 1673 4 326 1365 2826 2820 1413 2905 2159 1463 2306 1793 1880 2152 2156 2212 2077 1768 2324 450 2601 105 1725 2179 210 1168 2824 198 951 807 313 2144 1557 31 1594 913 298 988 1171 1917 852 2618 1832 2070 2966 2579 757 2260 1047 1312 2138 159 1308 1251 1311 2729 1877 737 1580 259 562 549 1215 629 779 1803 2265 1824 917 2544 2098 2500 140 2676 1753 518 2094 2958 1798 42 1962 311 636 726 1631 1119 834 707 1227 2152 2320 2512 1326 2609 461 60 456 2597 2720 831 2036 162 649 2514 1314 2992 2472 1328 2647 339 1453 1156 739 1139 1949 1486 687 2725 1873 62 2959 2143 365 2415 1874 2734 1966 1030 2467 746 2435 1946 1097 2654 2113 1051 2838 421 218 640 2433 2303 2803 2548 164 1198 561 2427 975 2592 372 1186 21 2969 2847 618 1721 1376 2124 1705 1862 668 2139 1426 10 1140 131 2507 458 1620 2137 188 2277 234 2313 1352 189 542 287 408 2506 2783 2614 2935 1709 316 2216 1453 1418 1537 404 506 1419 551 2082\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 139,
        "task_id": 559,
        "test_case_id": 28,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0\n",
        "output": "0 1184 1338 52 299 510 1252 2692 539 1558 649 2917 1297 503 2840 2552 1773 581 1815 2887 411 927 2625 1566 159 13 1319 1315 2912 1090 650 1020 735 2268 1774 291 2818 2351 2701 1810 2696 2740 583 529 1227 1894 2538 1556 1905 954 1347 13 2774 313 1942 938 584 637 2330 1297 1477 987 2923 416 2599 1560 427 1291 1148 1532 116 2763 619 351 2423 575 1191 175 1973 393 2645 258 2357 2421 1990 600 1125 2978 1186 300 790 24 294 1481 1375 454 2199 1144 1686 290 469 1102 1416 371 1275 696 1414 350 1154 588 336 153 1429 2059 1158 2866 1613 2765 2600 2759 1381 1738 932 687 570 1901 1475 1120 208 1981 1088 1227 2853 464 943 2526 1069 952 1954 1105 825 2420 2011 1729 1711 2635 2460 2041 2623 2992 2900 2062 2215 293 333 1252 1855 2315 1883 2029 2428 290 1755 2036 944 261 2577 2738 492 2311 2427 1839 878 2798 1835 451 759 2530 1583 393 1659 2062 2438 2051 1922 989 2899 1690 148 913 1012 1011 106 1024 485 419 2790 1736 1047 622 2513 1400 316 260 2367 1275 2995 2676 933 730 2166 124 2070 682 2574 1952 587 1643 2634 473 2476 353 988 789 2618 797 97 252 2217 1964 2703 802 2311 1175 2726 925 809 2461 347 1058 1077 849 1650 2903 436 2660 1569 1050 53 993 555 58 371 953 446 1437 1920 2011 1308 2783 2929 216 2545 771 2524 1858 2944 237 2512 1736 2674 2790 1535 371 688 203 367 2673 389 308 1887 1973 2998 1332 1161 870 1720 2176 2679 67 2063 1883 2728 2193 551 2822 2082 596 1069 11 2589 452 1179 2953 2886 101 2751 1123 2225 166 1183 2598 2820 164 969 163 2763 2252 2035 354 1237 48 2604 993 2399 2916 1357 920 1092 41 2164 2481 1401 1546 2178 2871 1767 2596 163 228 1410 175 1024 2480 1178 2253 2124 1573 2262 491 2916 1991 503 2916 2721 2174 2320 2275 400 188 212 2302 2269 1213 1160 2319 2869 578 2395 362 1204 2888 2063 647 2505 2322 943 1219 1775 2771 308 2892 1570 1531 595 2034 1104 155 2664 1850 651 2509 2328 1523 194 1394 1607 113 1738 769 2569 2986 2076 2146 298 2714 2724 1244 1130 2410 37 984 1275 772 2780 2251 1557 1913 2005 1139 929 381 1064 559 1176 605 2022 2604 189 1891 2047 2770 2444 260 1355 1945 2744 1763 168 1775 32 1917 2229 2362 1075 2062 2419 2153 2024 1236 2877 1150 1570 780 1948 2225 41 46 1522 590 2154 2694 2767 1623 1150 1661 2007 1624 2360 1188 2121 1156 253 1920 2965 2960 230 2516 2165 1613 2151 338 740 2258 1940 1853 712 257 662 1890 485 592 1387 551 385 162 706 2335 2949 1442 266 24 2287 1904 396 507 2429 2529 1442 1262 1270 1706 1732 2475 770 1999 2373 1779 2700 1672 1338 2024 2994 2997 2325 2029 2845 964 2632 2567 2979 1959 1724 1290 1870 22 1895 2335 2826 1992 128 468 526 2471 1936 1257 213 871 2232 1606 1461 791 878 2870 2184 1341 2426 1867 2536 2407 2605 144 405 661 987 1846 578 2827 2563 2773 1643 2560 1942 2807 997 988 669 815 308 715 301 2824 2674 926 2003 1631 2528 2448 1881 1204 86 2017 2997 619 294 158 1588 243 2357 2495 1066 2909 618 1391 1419 186 1200 1028 1420 2265 1624 666 1751 2180 1134 2338 977 2760 467 1044 509 1561 324 553 200 2787 2076 23 2701 77 59 1107 972 432 1486 2886 66 1040 1975 2193 452 2281 2827 264 1670 2921 244 2946 571 535 2388 16 881 2912 2069 503 1070 1748 1095 746 1194 332 2056 1103 1966 28 2709 650 2316 1745 2521 722 1325 968 825 1060 2709 1764 2243 2509 705 1941 1676 2047 1527 875 2914 579 2295 2302 2468 548 1218 2373 687 261 890 1188 2084 2819 2203 1041 2703 75 2202 2037 342 2927 2009 516 715 1238 271 227 1984 1359 492 2256 1154 2471 817 2523 447 1639 912 2025 1412 1515 1268 165 1850 1105 2305 2604 1439 2478 542 373 1792 2339 1194 1278 2202 2916 2769 671 2886 2117 1329 955 1793 57 2055 1240 1284 941 45 1307 393 302 1219 2189 2152 818 1858 2299 2691 1688 1810 2677 2741 2823 1795 1669 2389 1850 2068 2665 602 714 2189 1375 1055 1751 1083 678 698 558 2966 2946 643 1640 2700 30 497 1592 878 815 282 909 1962 1215 1840 2694 464 684 855 2650 2995 466 110 1701 490 978 249 2724 2358 51 1171 1034 388 470 2268 137 2818 1481 2094 2795 498 1109 1445 2772 638 657 2912 384 2041 988 1602 26 1853 2750 407 1757 1103 92 792 466 2883 365 2463 342 2970 1357 2285 1380 1353 74 2227 2220 2553 2829 2715 2802 2183 2754 592 1 934 218 907 922 104 2473 1289 1106 952 2516 248 383 2753 2232 619 934 2735 964 1754 938 2743 1523 1022 70 2418 168 700 105 1529 2462 2804 1965 2391 390 2134 917 1110 2675 334 334 1966 2650 2280 2039 914 2726 2750 2653 633 2653 2997 327 541 2790 2611 1891 2972 2376 97 571 129 1282 1360 2940 2558 1305 398 374 1991 2585 2136 1621 1381 2687 769 2009 910 1254 693 1085 2207 276 293 2698 2224 2084 2452 1481 1929 1623 1185 706 1690 1223 1868 1834 2558 2725 381 71 1150 1790 80 2303 726 766 1620 767 2819 615 1903 482 767 2970 2964 903 67 2009 591 2155 119 2701 120 1721 2726 1560 418 871 454 416 2845 2379 65 1443 797 252 2089 824 65 689 2435 378 2465 350 2853 731 1265 2159 283 796 662 1557 632 2529 160 1143 1676 1602 894 2633 350 1644 966 848 1415 403 1052 810 2863 1880 2146 575 339 2972 1965 137 1239 1965 2567 2193 393 1167 2031 2058 1313 1891 320 697 1485 847 972 132 342 183 1857 2881 975 2769 171 236 2084 1087 626 1637 765 1466 1199 2209 19 1524 540 1963 316 877 890 885 1085 528 595 1682 645 816 291 928 18 620 212 874 52 336 1081 2787 2902 173 358 2159 2249 2764 2871 1065 2742 1672 1100 440 1838 2461 2957 2944 769 1740 2464 2026 10 1172 2064 1202 1661 2018 1995 492 1757 1581 1020 1182 1324 2972 2879 52 732 1870 2826 592 2891 219 1084 1419 1723 2517 294 1536 2150 1903 1203 126 884 1912 2948 694 2140 731 2545 1281 793 280 768 2516 2639 1853 2843 2951 2413 303 102 1702 2197 1559 1413 2035 1108 1251 551 159 2160 2925 1271 164 2410 486 881 776 1352 665 607 1604 1324 622 733 499 1203 1444 2491 2862 1936 1425 1322 835 875 1302 2087 868 2613 2458 2173 1896 2284 129 571 861 1079 2442 800 1833 1479 1613 428 1867 865 1685 1419 1907 2468 589 2838 2890 1150 2791 509 615 2916 1235 1649 1806 1880 2232 684 2867 774 2771 2322 2768 2705 2488 2170 231 2477 810 1258 2045 1629 2850 272 1238 2455 449 2603 784 2324 2296 2267 1727 2433 2717 1306 2386 1436 2602 2786 2842 2512 2871 2135 2697 1826 949 2945 1011 2573 718 2471 739 2369 354 620 388 1302 2624 1961 461 2445 2805 1854 395 2799 557 2502 2469 2478 1457 914 237 941 1654 2489 2283 534 1430 2522 1719 799 588 1952 669 2492 1377 2630 1647 2661 1632 573 1298 1766 1200 473 20 1535 2534 413 2573 2453 1307 27 2726 2213 2483 1151 1801 426 2865 358 2571 2874 1092 2525 285 699 2427 1490 929 2141 380 2093 1729 493 1225 1424 1659 386 2639 454 2088 2288 2641 2422 474 581 1363 2532 2310 326 1036 2485 2489 2345 1268 2417 743 2005 1899 664 698 852 1408 1375 2324 1644 714 388 2056 1715 315 63 833 1631 1906 1910 2420 2037 1635 2041 1562 2514 2439 150 2263 2727 1381 1031 2086 1585 453 1511 1233 1951 2341 2181 1165 304 2805 809 17 2045 212 2183 779 1268 688 955 1143 356 639 1094 1552 2414 224 1980 168 1316 362 213 640 1035 855 2673 1360 526 275 2382 50 898 1692 1751 711 1898 2737 709 846 508 1142 807 1888 1840 80 228 1242 2357 2171 411 2775 2087 2153 2591 354 596 2103 2355 1385 2434 2083 1623 1414 2962 1861 2086 1130 1114 1756 926 578 1518 2687 2707 0 319 748 2131 836 1626 2793 2114 1925 2901 940 1823 1233 2627 1073 2797 2585 699 2324 773 2760 1555 178 469 1755 1264 804 1929 2325 2364 2461 1262 848 1356 694 2221 2464 1697 2363 1747 2829 1528 2487 1636 525 751 2725 955 2911 1133 1044 435 2257 2496 1538 1740 1149 498 1588 359 103 322 2349 1272 1744 2438 2683 2409 1942 2162 1411 271 606 1449 347 1105 1308 765 2368 102 229 479 1744 343 944 33 208 1967 1376 527 405 942 415 225 2505 2107 746 1488 1216 2090 1921 2662 2216 660 2399 1454 2921 2150 305 1254 1319 2132 1820 2541 112 569 1511 556 935 2088 688 86 102 2598 159 585 2639 2452 1674 1516 2831 833 1917 1973 2794 399 594 54 113 1636 1779 1511 1452 2386 2412 1837 1698 1147 2821 2260 2431 1495 2774 1647 339 171 2996 946 2601 2702 1246 72 2935 216 902 2577 347 546 738 2578 2763 2837 140 2507 1520 2651 1043 70 593 114 387 1022 1248 995 1317 2627 2947 2411 395 1693 1242 1003 695 2552 1531 2357 2011 589 2932 2498 984 339 1537 1041 526 1132 1478 1875 2722 1365 1036 634 686 1502 1276 1196 107 1346 2535 1940 138 1307 1813 950 2871 1064 2623 2689 1530 1940 2546 1975 2372 1938 2469 458 490 1980 256 2414 1283 2413 1414 1844 1469 584 1893 847 1070 927 924 802 1689 1288 302 137 2638 184 1923 1820 899 1786 850 1171 639 2172 1602 173 711 1742 1205 2223 2823 1543 1895 1811 1052 1618 47 527 2491 919 956 2083 1855 205 1637 1665 2914 164 1619 2371 1863 417 616 2122 939 1494 1777 590 2621 2949 135 2899 1086 2095 2102 152 234 685 469 825 2104 1914 1849 2092 2230 339 1339 774 2392 1790 263 1963 189 329 2896 115 2436 344 991 1990 2998 1116 609 146 202 363 1445 757 2551 620 652 1735 52 1089 1624 2480 726 534 974 2218 767 941 1157 2944 144 2683 1132 1375 2902 1410 1171 1383 1961 853 97 2415 2779 1113 1843 1873 1166 1241 370 1730 1287 327 2587 1384 2293 743 1045 1712 1132 1921 2189 2591 478 1148 2282 435 2346 785 2322 258 494 1959 2324 2719 2837 1178 13 225 1075 1717 272 1384 1358 910 156 1413 1182 1667 1577 1380 2682 2960 1890 231 847 254 1190 874 66 2170 618 1492 614 1448 820 956 641 1474 2041 2055 1415 1872 1885 886 2637 2149 1040 312 2427 1948 2718 642 1475 2926 1531 675 2920 2450 1997 2710 1032 2880 2042 2041 1662 1401 2387 2231 1006 1781 1707 1205 1270 460 1758 2742 1726 810 1861 365 2691 2391 2178 2108 2717 9 1851 2480 2757 1705 368 2920 288 1863 108 2707 2351 1039 1359 1867 483 2997 2230 2275 722 1983 1031 710 2661 1911 622 1555 2477 2311 2581 1483 2903 2800 1827 492 2395 2902 2833 895 2351 884 88 147 1556 1288 880 1281 2659 2425 2437 1558 953 2808 54 2646 1341 630 352 2259 1237 709 1362 1354 2226 999 2616 2152 1340 2317 1760 2023 1019 1087 844 981 358 2756 1051 2489 1306 1399 767 919 2805 1579 766 2962 329 775 697 1325 387 942 1538 1205 2843 1197 1973 594 802 655 1436 1769 2391 254 493 502 1575 2414 192 1433 212 1245 1442 2194 1682 2934 703 973 1330 50 2302 1090 2612 1879 1226 690 2568 2268 507 1186 908 1781 1681 2251 773 0 2526 2125 130 1027 343 2575 222 2408 2978 2770 1231 2181 274 1771 1247 2835 2811 2304 961 81 328 58 2332 2707 1075 2998 1674 2321 2390 1185 1129 1864 2345 2114 2244 2499 1860 1008 984 2199 872 1544 1480 686 211 2779 1570 382 166 2877 1818 1070 957 1173 1602 789 250 2297 399 1114 480 2422 1681 1774 1022 1912 368 1059 2506 1166 1071 2725 453 2633 103 1193 864 761 1818 2046 1649 2777 1245 1449 875 2162 189 2531 452 2427 2634 1996 2595 260 712 2036 2295 1614 1589 2730 763 748 2626 1446 1757 1272 1007 109 244 2995 419 123 2957 2793 2991 247 2594 1652 984 715 503 1570 175 1005 580 2231 677 893 1660 1141 987 2280 838 2866 2580 2750 2535 732 44 2286 1997 2144 129 663 2370 346 2263 2712 2385 2269 416 233 2884 597 847 966 1496 1204 729 372 2778 181 2089 761 2104 1066 1864 2577 2580 2555 2402 5 2874 1512 435 2533 1054 980 622 1746 1814 2866 909 2645 1070 2340 2033 1456 2809 1008 2467 2338 235 82 2275 542 2441 598 2223 1753 1864 1226 39 1742 2169 2387 2211 2595 1398 123 806 2466 1406 1761 1497 2876 1586 2162 2666 1416 2472 888 2524 1858 2767 1539 1526 1247 2064 1640 850 2097 2555 2885 191 803 595 444 2723 1395 721 2470 140 735 1117 1948 860 1133 2377 2527 968 350 2435 199 2158 172 1187 1493 2660 804 1679 1835 2655 2139 838 2097 2916 274 2689 1942 1141 445 802 2561 94 2819 2968 2608 2647 1166 290 2428 1969 2734 217 75 2977 2427 589 194 262 537 83 2406 559 959 149 1875 2376 2582 1291 2195 1055 1632 861 2082 1812 1519 2382 532 2718 1051 577 1963 861 2714 1648 1108 195 2385 2928 1414 2778 2307 758 2811 2273 1513 1108 172 939 1115 2260 2572 1254 1425 2845 2194 1058 1059 1106 2207 734 2785 2607 2570 1360 1476 1720 700 1230 1261 2052 2680 1352 19 2271 1935 84 1527 1049 2347 2621 1923 1339 354 2326 454 980 167 1395 2212 703 2220 1764 661 1339 2771 387 12 491 1812 751 982 2031 2193 1410 1332 2535 922 1445 1548 2146 1592 1207 1531 2301 2283 1646 2896 76 2568 583 2775 2372 2100 2291 1461 745 1431 2890 2844 2956 44 2403 2850 1073 770 964 1175 2040 2974 10 1322 293 2539 1825 2463 2856 2702 895 1748 1944 1049 1129 410 738 2777 1705 1429 2992 2587 2789 991 2230 1859 592 870 2433 1921 2342 901 199 909 2678 1118 2954 536 2629 2903 2217 2445 2923 220 832 501 189 2775 1896 2693 2905 1738 1959 1584 2329 1330 1398 2800 2053 1489 499 217 930 1373 1588 950 1762 2910 118 1396 1234 638 1425 1228 320 756 1002 1105 593 463 2952 1084 2457 2323 1829 2307 1082 1033 1158 2470 853 2900 2266 1088 1074 750 137 933 2304 1594 287 1493 1610 588 1015 709 2965 1334 613 2044 1291 2738 1564 455 2788 1383 688 1158 1698 2954 2642 2855 2274 1199 208 284 1516 1394 1630 2806 1875 1740 1846 1497 1094 2812 451 1400 659 1330 1565 700 179 11 600 1286 911 2917 1963 1854 176 409 2872 1177 2293 2918 622 2346 1557 605 2043 2117 1868 1924 59 292 2316 541 1577 1337 2592 939 1852 5 788 1024 1208 2427 686 370 2736 1046 1030 2406 2683 2808 91 2064 390 2233 880 36 1082 1654 2651 1319 1391 1043 2837 2890 1405 233 1250 2560 629 1281 176 42 159 2750 2494 818 2934 704 866 2869 1569 2546 39 1126 2005 1633 2990 2728 1581 1089 2083 998 1664 1996 858 37 375 2445 2395 999 2773 2937 189 2612 1618 839 2800 2023 2030 2687 2795 2393 2537 1901 2345 2470 638 701 108 645 2244 2432 2697 397 1267 1227 762 2036 1943 975 1548 950 2026 1495 2939 1424 2504 2989 80 1103 1161 9 2952 135 138 1444 2886 2244 2911 648 824 2568 847 1434 1254 906 2896 2678 1704 704 2570 47 1592 2196 1900 2863 805 987 464 395 2030 2930 228 1914 1970 2508 2917 127 2939 1394 1350 396 903 2035 2791 273 867 121 1291 378 2668 1386 333 2349 1823 777 200 2278 1066 909 1749 1763 1974 871 290 1210 649 20 1693 63 1150 173 1659 1376 2548 2261 2590 667 394 35 1230 62 2795 540 763 677 2106 1822 120 282 1452 2456 1859 2174 737 2136 1860 2448 90 2754 2303 1265 1447 1290 340 1594 2186 2420 2199 609 1320 1445 1696 147 1000 1980 1383 2213 2255 1825 587 2651 1846 1757 1527 1803 1373 2118 865 2098 1284 2135 442 23 2100 2015 1104 2507 2992 1837 2531 463 2184 488 1408 568 1936 103 2584 986 321 1442 2294 724 324 182 2017 2843 797 2340 1988 457 1327 181 2839 2866 677 1995 2120 524 472 2661 634 2010 2388 1213 649 259 1302 1539 54 97 2568 1219 237 2689\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 140,
        "task_id": 559,
        "test_case_id": 29,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0\n",
        "output": "0 2667 2410 418 2467 1758 2172 594 2091 2614 367 2168 2724 396 2762 2196 671 2152 297 84 2352 146 1834 2707 1649 2957 355 2637 893 18 1186 989 863 2082 313 1274 1726 1839 2890 2172 1525 1553 1382 2657 1213 2164 1185 2379 1582 2768 993 398 1591 1545 1742 1010 160 23 2522 1378 2455 2628 50 2123 2674 2415 138 754 2878 2295 2393 1885 2060 105 2653 1462 284 2807 2348 828 1285 92 2998 954 1703 1570 762 194 1190 1650 463 2552 1592 730 1423 2552 1180 1825 597 2782 573 626 2603 2363 371 964 2927 476 1646 2256 404 2853 445 1783 571 9 709 1312 1880 2430 36 2214 2285 1224 2125 2712 1090 1235 1298 259 2332 1124 2288 2080 2595 1416 570 76 236 865 518 1843 255 1868 2485 2576 2557 389 2340 194 2603 2179 1202 2400 1456 1313 1344 2467 963 1860 2001 4 224 1427 924 276 2299 794 1519 1629 1708 1264 1814 1903 2678 2494 2880 1239 575 2668 284 156 2416 72 1833 768 1801 482 1717 2490 2040 1232 471 1606 509 787 2297 1060 1595 1872 932 1844 284 663 2108 601 2568 2829 1286 1377 1198 1387 2108 966 2624 147 620 2572 2046 1888 348 2906 1011 2775 1507 222 2304 1497 2163 2558 2039 1121 66 1949 2808 2405 1392 1239 501 1272 2911 2041 2901 2628 293 660 1931 2757 1245 2614 1383 2386 455 751 1631 1115 2680 513 1495 1834 415 962 2430 2093 531 2956 2182 1412 228 1942 2026 2111 2690 2307 1708 2495 1177 2020 2234 2573 434 168 20 228 2254 857 2054 1031 1428 388 46 601 644 2079 2372 1113 855 1494 249 2326 859 1446 645 236 1546 2252 1193 2379 1743 1557 576 2413 2263 693 1700 1635 1063 593 319 1716 2858 1893 1953 2378 2184 311 795 2802 337 443 1218 130 99 2512 2886 1779 968 6 1869 896 644 72 1656 2183 1353 2737 1427 2382 1002 297 1907 474 2499 1641 1361 1675 1409 601 298 1648 133 873 1437 2021 236 2278 726 99 2452 1328 2987 2239 2257 21 1472 345 2153 1161 2718 2406 1760 2407 2539 2550 2261 2375 1289 1392 446 1263 2829 255 1070 2544 245 2539 1862 853 2894 2995 1474 1699 2422 2413 1664 2344 599 1445 1528 670 1224 2775 1986 1378 2019 2741 1574 1510 1030 892 504 362 1570 2203 410 1465 355 2955 1017 462 2412 273 175 1918 41 1402 20 2826 2881 2547 343 2128 809 1262 1614 651 78 891 2585 1299 1027 2034 2719 866 2417 949 49 1436 2920 2432 2900 2173 437 899 1691 500 1165 2694 214 133 2017 1657 398 456 448 1657 1542 1432 2141 1385 228 2628 2277 870 2847 407 2960 462 321 52 887 850 2939 1825 2557 2934 2929 1916 935 2504 2666 2111 2335 302 260 920 2098 487 532 89 823 2526 1639 453 797 1613 780 298 173 1875 2590 531 1775 933 2527 534 351 651 1238 100 2342 1195 2018 383 238 1381 537 2259 218 483 1587 236 2833 102 1344 55 893 1271 993 1082 1132 948 1331 527 2053 1142 2095 2447 2074 938 794 2548 1137 2607 2693 89 2782 1222 813 2348 2583 2628 1592 2091 230 2404 1750 2016 483 558 2694 1222 2617 1685 1463 511 1590 2098 1933 275 188 2857 1127 2900 73 610 1330 2399 371 2952 333 2226 2630 784 1576 2325 597 2769 1660 2438 745 2416 1913 1144 1414 2456 764 1384 2086 2761 416 94 575 2364 2220 724 2900 1709 1442 1587 1292 997 684 2682 1681 1740 2792 2353 70 1604 2964 2485 1762 677 371 1462 1919 738 981 1237 2383 83 2844 2522 1257 716 581 286 47 1719 850 2233 1100 117 904 2086 2462 327 2560 1980 806 1273 1341 2805 791 35 1204 2172 703 1290 2223 1082 1702 1046 209 2883 1424 701 1657 1279 45 1713 1637 1626 2009 844 697 2893 1984 1786 2724 0 887 1938 2609 500 532 1123 2340 887 665 2298 689 1180 1725 151 1313 13 2005 2861 860 469 271 164 2004 305 1858 2681 2974 462 2834 2754 1551 587 2035 218 657 1955 441 2781 1552 1501 1783 718 1770 977 1900 1923 2162 406 195 1420 52 2653 2296 2620 2586 1712 264 2128 2371 2238 1254 38 75 773 1433 1038 1913 459 1619 2371 938 1535 301 1155 2114 519 301 1952 681 1560 1122 288 470 2944 472 1542 81 471 2182 297 1466 1877 1196 1073 553 1764 500 2967 1448 679 1451 1157 2882 1503 883 1426 395 2979 1614 2672 2718 2072 2983 2990 2511 2410 1672 1873 2800 748 387 1672 766 1534 1040 17 1332 2306 247 1612 2170 845 1149 79 2852 887 1523 999 652 1151 1986 2653 2585 2233 1691 472 783 238 1342 363 2670 2398 2199 2220 1367 2365 1890 1058 2863 2607 2711 1774 2239 2223 2994 2111 1143 2493 502 2112 674 2740 2252 2323 175 1174 2389 229 956 1977 1284 2296 1195 382 733 1000 1168 2609 278 2742 2515 2556 1343 2431 1722 2797 1269 1116 629 2062 1341 2763 1925 1963 1531 2739 2162 1150 964 943 26 2239 1164 2942 1259 2397 2077 1512 740 222 2527 2698 2311 1084 1097 1149 2040 1493 2392 1476 2755 832 2932 2218 2397 1201 776 2531 1086 1452 830 1144 13 1470 1986 2709 2685 112 1337 2114 906 868 911 1892 2544 631 1115 69 1806 339 2963 1905 1084 427 2531 2678 1208 2746 377 1403 1439 1689 2818 149 1638 881 45 494 1231 2812 1049 1018 2337 486 919 986 1332 38 448 2940 1170 1900 2797 1710 1724 1832 1734 788 511 1762 1648 2020 175 1918 1053 926 2562 2137 2197 1590 2398 172 2750 2237 1448 2087 332 2888 421 478 353 2789 830 548 1730 262 1845 2039 534 1709 2241 2899 1410 515 2903 2137 2263 2947 1403 210 986 222 423 859 944 1673 863 602 367 139 2719 2065 1683 2226 1286 2017 853 2691 2243 2536 2886 2390 345 532 485 2844 2229 487 270 1845 213 4 1410 2413 2005 598 1066 790 660 2140 2666 1304 980 2108 770 673 1168 2888 1953 991 2143 1987 1781 1399 1055 1204 2486 1636 2106 1751 1911 1639 2890 2638 2809 174 463 2116 1938 31 1926 1869 835 2614 406 1224 7 411 100 490 2585 1075 2461 1348 2608 1138 616 1231 345 2297 539 160 1214 1488 1764 593 144 2204 1995 1718 1581 1694 2376 1498 75 394 598 1663 1901 2290 1746 1535 1092 551 408 2384 632 1230 1085 1100 1973 611 997 696 1618 794 1528 803 587 1362 1859 1090 1955 2688 2446 1037 2156 1341 2171 247 1376 1869 815 924 635 196 2283 2800 675 2263 638 1723 1586 1137 1321 2957 2461 2916 2868 163 2338 620 897 2276 819 892 2392 1048 2202 1150 1396 1374 595 322 1381 2108 26 2268 1980 918 2044 2478 1004 660 1968 1062 226 1231 1481 1696 719 625 1388 2371 1092 503 583 1351 1672 2509 865 870 1627 2497 399 1548 929 2515 2549 2392 587 2240 1548 1431 827 2488 994 2722 2713 2110 95 806 981 1780 518 56 1516 2667 873 1927 2680 368 1997 1444 635 2427 2379 1866 727 1435 254 812 1504 547 2639 641 1421 525 814 2310 1235 2617 2526 1713 1701 2678 2595 2561 1395 2070 1155 94 2625 114 2914 2880 667 582 2687 1966 2247 2810 2877 417 1519 184 1135 118 588 1068 749 2538 2714 762 491 601 1311 1631 1037 2408 1849 143 106 2763 2813 2113 557 2663 2957 1508 152 2914 272 2427 1368 2818 2542 1578 2954 1682 1262 238 2164 2546 30 1148 1091 2946 700 1181 2545 2808 330 2784 799 2897 382 480 1180 709 1759 1360 1820 2954 2030 1089 100 147 2030 1637 1260 51 2702 1532 2834 1568 930 617 2664 2656 402 2777 2847 618 1120 1158 1610 573 2233 2080 1751 2841 956 2881 1696 2145 679 180 971 2554 285 1823 2403 218 2146 1575 1568 2377 2194 2206 2933 2444 1586 949 2381 2564 752 840 437 1549 2842 2879 272 229 1324 351 2199 2994 422 2879 331 239 1846 2149 2217 523 1901 1134 84 284 861 868 1733 1793 602 2574 1347 1241 1246 362 57 1768 1576 250 2675 782 2572 1940 81 2814 59 2403 2274 1523 2221 2376 2894 700 2159 318 2265 2625 2520 2115 402 2954 2025 112 1828 390 1994 1432 492 799 1112 766 150 1 2027 1747 2048 2531 1717 2449 1889 2956 1261 1617 1317 2092 1165 1739 292 751 424 2388 1385 2190 1253 85 1502 1122 443 426 2374 2969 709 68 2031 2507 1442 2052 1225 2924 2511 332 2883 547 2490 701 2813 2452 1480 1081 2706 1701 2725 16 2688 210 2349 2715 1016 1669 2979 365 675 468 2439 2477 130 1824 696 1469 2681 1639 1128 848 1763 377 1627 2481 1069 371 2533 1979 1401 87 2857 1490 1498 1672 1547 19 2515 848 1769 1549 664 459 1389 115 1652 2058 254 527 1417 36 533 2843 324 1794 2788 2148 700 1032 1526 2690 1116 2344 2920 625 1935 2683 2264 2327 171 1058 548 51 562 811 2052 666 368 2138 1548 172 521 2795 1379 2683 730 1669 133 987 830 2812 1234 562 1907 101 684 2598 1303 2190 2919 1154 1843 1392 1950 678 1792 2732 277 2734 697 847 1211 2269 912 1403 1367 2757 832 1886 633 532 1493 1869 2359 402 2678 1213 338 1306 188 237 2420 2052 1252 359 2787 241 112 801 1811 2539 1096 1599 1393 775 2074 1421 30 1549 464 1010 2946 1825 575 223 4 309 1921 359 1781 1697 1603 2949 1996 1018 2848 873 503 1015 2 1307 2134 1209 2757 1931 1935 1835 1953 2509 1552 267 2770 2320 2144 272 1196 2767 92 564 2757 70 1908 2377 2195 138 1941 273 2203 2980 2403 2236 2672 1118 787 1520 1057 2826 349 1711 73 1195 841 1336 1443 131 1341 538 2720 418 1289 1007 516 590 288 837 603 1414 2126 610 2651 238 1167 156 810 127 1184 471 1281 832 2386 2064 1659 256 1244 411 1924 2696 2743 82 1374 2440 2584 2461 2466 731 642 2540 1350 1928 1752 1070 2953 2287 2880 2635 824 779 1303 1856 2878 935 1847 2256 796 1255 1568 313 997 2032 1419 2741 1690 2710 2607 2190 31 2197 1710 1918 404 620 2188 2531 2593 1517 1840 1153 530 80 431 1128 326 438 2865 478 280 187 2592 897 1624 2463 1920 1950 298 1716 1744 2624 842 1848 269 858 2439 1437 2992 2847 961 972 2685 1875 2230 1875 1589 2973 1708 1562 1523 247 726 535 1529 2748 1157 1052 2993 167 2645 2237 2076 1527 1213 961 1827 2826 1921 1238 837 2152 595 1402 676 212 857 1012 1530 2231 2368 1888 1409 2559 2284 48 2831 2986 764 2193 666 1862 2296 1764 1413 2533 1019 476 2571 1110 1340 1770 2645 819 841 2383 2650 239 2206 1185 2297 2747 2412 1500 1897 1323 2193 1287 2958 2372 1267 838 1882 2992 2389 1628 2332 2868 1292 2606 582 1848 1538 1463 2620 2875 1427 1900 1558 314 2803 2245 2037 1764 171 890 1347 878 1869 2577 1242 387 2613 2109 1573 2166 152 87 985 458 1134 1721 643 214 2580 1661 2736 2036 1944 1233 2799 1839 1933 1294 1505 2896 1532 2303 764 93 2622 1631 554 723 1878 1416 2736 429 2190 2275 2827 2180 1442 2605 247 2646 1514 761 1911 2955 2034 1950 2081 179 2533 1428 1107 1824 482 1291 2082 2968 1200 1730 1642 273 2649 956 1821 938 1110 1492 2078 2570 2190 1732 1725 363 45 1544 1108 145 1071 1981 2727 2756 1342 2965 1020 1053 1205 1394 417 987 957 667 207 289 1366 1604 2623 1804 2814 184 1360 2839 1357 796 839 480 1085 1164 994 2066 461 484 988 2043 1125 2955 681 1657 126 1027 2047 291 639 1302 1848 2580 2158 676 197 2865 2047 2465 339 1924 2838 2137 1405 455 343 591 1336 597 981 2852 435 2954 80 1196 1912 418 608 35 1365 1477 2491 1692 2519 1423 1338 249 2782 2388 363 1788 1078 1588 1162 2305 559 1939 66 1297 849 2920 2638 1180 2575 1535 993 1971 567 1669 2175 872 2413 989 2212 2171 945 1359 2725 1072 1006 397 2308 2890 2269 550 1304 294 2040 1514 205 2173 742 339 2 1167 1855 545 1689 1386 1316 765 1078 2093 2309 429 2318 2891 719 1376 20 1795 2139 2583 1385 322 1196 2306 1472 2864 2180 669 2295 1595 1782 1391 2985 887 139 2698 491 2531 1462 1589 920 1023 1397 2956 2987 401 2283 78 2909 2153 199 889 1992 1464 2051 1625 764 166 274 497 825 439 307 816 349 189 1659 731 2403 931 28 1580 26 560 2091 2913 972 1868 2202 2379 284 1167 2926 2850 2904 2690 578 2209 2476 2513 2012 2604 1768 2896 1579 2226 2261 36 1134 2922 2700 1532 613 1434 1492 808 1055 810 1273 2823 2932 2909 2819 21 1788 1882 544 307 2112 132 313 2466 2955 2075 813 778 1297 2144 284 741 2850 1088 353 2733 2766 2961 1348 857 1016 598 2138 1307 1928 2558 556 2595 551 954 1927 1692 453 2554 1111 1183 63 1101 309 1815 1649 625 2058 2239 2742 2848 855 2259 1351 697 2126 2879 2567 2535 2823 1302 2743 2945 634 2098 2265 213 2637 1587 1423 2029 1165 2965 800 1284 1918 2355 107 1176 1481 711 2232 1781 1914 2885 952 330 316 1210 943 119 1016 69 1032 2167 1663 1213 1266 1560 2980 1931 2595 365 2366 2725 1734 497 1678 2536 2075 1536 2291 92 2924 62 1717 1797 2289 1722 2919 1875 780 2453 1634 1197 2643 1173 1005 715 1149 2720 742 1141 1036 544 207 771 2709 2848 234 636 1631 32 94 938 1892 1308 2370 1475 2629 2584 1876 2106 1462 1621 2650 320 1145 1919 2201 2313 544 1894 1381 2631 2757 1907 1877 2944 426 1360 517 338 2853 514 673 344 767 1421 1957 1874 2759 189 2441 1799 2795 799 252 931 163 1279 2549 1395 1251 55 825 2687 2371 1828 1999 2522 2958 1579 2772 1522 496 264 476 2207 2949 701 2761 2766 2229 1997 728 2949 176 2523 1356 2774 1030 1767 256 692 460 803 1250 162 2345 452 584 1064 1476 249 2924 403 132 1365 571 2490 1184 1116 2118 132 367 2601 1178 893 324 1171 2932 406 1255 1695 2096 2384 166 2591 338 1926 2412 16 1645 2447 2121 1658 321 450 2132 1021 2691 2983 1808 2974 2977 1612 1981 2325 2905 2564 2690 1854 2981 1870 1899 1457 2730 2886 2038 2968 209 143 183 487 1085 604 341 58 396 2895 2399 1478 1914 2677 164 2588 499 684 2128 648 663 2950 1831 799 1933 1580 875 2454 2073 872 1616 632 400 2405 2732 569 615 1364 2567 1716 735 582 949 1472 728 2610 21 152 1568 36 2735 1479 2664 1 2019 1515 1604 1032 240 2609 1333 2741 485 431 2345 2889 2339 63 1051 1697 1048 953 798 337 2242 1870 2286 403 1758 1136 2849 299 1590 2632 2628 2294 1133 751 654 1014 2893 643 1011 1122 943 202 2188 1271 463 95 2955 113 1140 2798 2379 95 1333 32 1060 760 228 2650 2834 2929 1763 531 664 1064 2862 2576 203 1545 2319 929 1517 860 157 1154 896 1258 224 483 1831 2048 2158 610 369 2947 2660 1096 1149 2345 2523 268 2539 2872 2739 862 2297 2036 2030 715 2323 1057 1602 205 2610 1985 1620 1469 769 1694 2578 134 2150 1412 1397 2682 1717 2557 1227 1306 2474 2119 1464 1256 2399 1459 1964 1499 1195 1210 2909 876 2674 1849 2662 79 1055 2315 701 369 1083 2175 2209 275 1152 18 1357 84 2493 2801 2361 1126 779 2967 382 855 890 1189 1028 825 2362 2448 1205 492 2152 856 1108 138 2818 1315 2233 1947 984 1301 1817 1995 853 155 1899 170 638 2607 2595 2860 1427 2893 1166 201 2073 641 1250 1512 2789 716 1034 1800 1885 2281 2215 998 1512 2627 89 294 1365 837 643 1188 1876 2116 724 2761 2515 653 1907 990 2666 1859 2742 886 2991 2313 687 2586 2972 2054 1288 382 730 69 1355 923 1478 1184 2582 2011 1301 2712 2909 2627 2335 663 2626 1925 1781 403 676 2169 81 1059 2242 2798 2315 1600 644 2876 40 74 1074 1208 2270 876 62 948 38 1271 42 1058 1976 1070 544 440 2437 1039 2433 2262 2011 2076 970 1989 792 2422 193 2337 530 2224 629 2511 963 1388 1724 2923 682 1986 2314 2077 498 1781 1786 1678 1362 2922 1381 465 73 93 29 2859 170 88 2812 1698 911 2297 402 677 2567 2171 241 1172 2278 1529 2941 1657 135 1844 2892 967 2097 891 638 2470 127 958 496 2031 2640 1528 2878 2990 977 1003 1052 2070 725 390 1733 1069 2830\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 141,
        "task_id": 559,
        "test_case_id": 30,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
        "output": "0 819 1358 2677 823 1297 1137 2278 505 1316 997 185 737 1478 936 445 1236 1720 1136 1001 890 2099 887 544 1092 1538 2718 472 1833 487 2973 2103 528 2270 1742 1747 1489 1130 1212 986 2024 304 2731 5 2575 294 2421 1150 380 196 1594 2428 1619 68 2167 2391 2970 2647 1234 839 1080 2958 372 1160 2973 2376 855 262 1190 2209 2607 2356 2518 811 147 1282 1374 1313 2728 608 2778 1562 538 2751 1068 2517 512 2036 2480 974 1017 2658 2729 324 2512 144 904 553 1791 2299 886 1119 2509 531 1835 838 1624 1136 2896 1612 1526 2528 2357 1148 2767 1222 1846 435 1634 1585 154 2320 1697 475 1526 399 783 112 2651 1893 302 2327 310 2645 666 128 1028 1971 101 1850 1735 1490 2001 1508 1467 2742 2756 636 2538 1229 61 1675 274 568 1661 2912 1114 1929 281 1096 1899 1432 2986 886 2051 700 104 2188 1054 2177 1200 2106 483 1558 2046 266 1859 722 496 2180 1012 45 2648 1737 501 2648 541 1697 686 4 1689 892 2404 1953 2313 1388 2467 1431 1858 36 2175 1220 2102 487 1225 1964 2044 2017 496 2648 985 1187 729 224 1707 2300 159 663 1798 559 2310 1846 2804 1550 362 1953 2836 850 708 2362 2277 2121 417 2301 2126 904 2812 104 1674 1549 1284 1791 2360 595 1804 1085 2507 2615 1747 1654 1219 1285 962 1380 412 2711 2240 1708 2027 2972 2546 2119 175 140 1984 53 2695 1611 1301 2217 491 658 1630 2549 2244 2500 2396 547 1178 2655 924 2693 2065 18 2303 2946 2249 219 2004 2044 120 227 1316 1831 228 1946 1435 1615 637 2287 474 2470 11 564 949 816 932 1049 1580 1814 2754 111 1304 1307 2687 2187 1372 2105 1516 389 89 1369 1299 118 2621 553 388 1253 258 726 1235 257 2328 2567 1333 2553 2332 1484 2337 95 1106 532 194 2464 2413 6 2884 2704 2430 2156 2953 1274 1656 73 879 2602 1146 1869 1888 1081 1899 353 1518 863 2865 751 808 1774 1459 739 2823 929 1388 2464 234 2392 1238 425 567 500 2935 2123 2360 812 1693 1395 233 2625 1046 1179 402 1113 2728 327 2336 2567 1657 304 1383 1228 2458 2747 376 2507 553 461 697 935 128 1671 1752 2164 1793 47 1990 1331 1866 161 2809 1196 2002 120 1908 762 2298 1766 1148 2852 2544 2403 597 2566 1743 2980 42 1989 1947 1736 2581 2956 979 2240 1671 638 1702 1363 585 2004 2958 217 2922 1021 2512 1418 2794 2729 2458 2594 1779 476 390 1008 571 658 287 195 1044 723 206 585 1158 2975 935 1550 1602 747 2794 875 599 2526 2278 2562 2129 1167 2878 709 1327 215 2939 2911 275 2835 2629 857 2474 1683 2171 1079 673 2004 2424 2238 787 2573 1456 295 5 1093 2640 1345 1247 2316 2903 2234 1938 580 2786 2079 1077 89 380 349 2369 1067 1080 2849 324 1540 651 1642 1047 2093 2685 1156 1800 414 41 2338 1801 2027 1131 2691 2603 2329 2410 2236 1821 1538 718 380 993 2758 2770 1701 2663 399 2986 2402 1483 2639 1698 1418 1271 2405 1013 1931 2892 1673 2772 340 2452 480 1803 1858 824 661 1750 363 316 1348 723 2439 1191 2588 1995 2726 581 904 434 2491 940 550 2461 1869 220 13 86 541 2107 230 1320 614 2467 71 1913 2201 2485 2598 691 1199 787 514 459 1359 2747 831 2120 1828 321 299 1970 1365 2583 274 2627 449 692 466 2962 2630 1292 1107 1537 2404 128 376 256 509 1355 323 27 2371 2938 616 378 665 1817 1864 2934 1804 2965 2237 2662 2294 1905 406 2293 2191 2421 297 2775 28 534 2987 578 913 1158 837 2644 2760 1804 1663 1271 2975 460 1155 2587 1379 1220 2321 326 2390 2665 850 2367 2764 380 2075 2846 1041 2167 1215 2510 2555 2526 2169 656 2519 1924 1616 556 1660 1186 419 1321 2611 1547 1938 322 986 2033 2715 126 289 1584 2046 626 105 1533 536 27 401 2973 842 2992 1898 1767 2693 14 1505 1607 53 585 247 183 33 1128 2636 1089 1874 2332 2992 2263 301 306 790 132 2929 1730 2898 1139 1404 2900 1588 1594 1175 62 49 739 1924 2048 40 2429 1038 1574 2177 2365 493 1831 1339 2501 1461 1559 1474 921 1268 2933 860 1124 769 9 1754 1138 558 692 39 311 2620 2964 1757 1576 1273 1075 1256 1199 2815 1738 2650 2139 1380 2807 322 1054 2696 138 2707 2165 464 2537 711 569 1283 662 2266 1810 1605 1352 2504 792 369 1505 1152 1969 1275 1397 1018 148 436 1972 1120 938 429 88 1212 603 492 851 1328 1072 876 304 1075 2800 2249 1611 2837 1685 441 2623 2132 179 2453 206 2459 2568 2347 310 380 466 2079 2799 159 1800 872 223 1205 955 2226 601 2162 2139 1475 1750 209 1240 2912 2406 696 579 1201 1015 2104 392 1255 1262 1150 1437 340 2495 2265 1333 703 516 1777 369 2938 988 1950 541 2020 2074 1458 2409 2408 2697 506 1733 2859 2787 826 1412 601 1507 74 676 2751 891 1079 1148 1029 2969 2260 1940 1717 2458 510 2805 1212 688 2912 858 1205 1673 1985 2596 787 2700 853 103 2063 1454 2037 2211 933 860 2746 127 1815 2126 556 2647 2593 446 2182 1593 2932 1719 404 696 333 570 2439 117 49 1867 2553 1326 979 2772 2998 730 2530 1122 176 2679 2250 2724 2297 390 411 1240 1745 1079 2461 1101 2912 703 532 1334 703 956 2743 1701 1896 541 2269 1440 1986 2992 1357 190 850 867 1354 181 2765 837 2520 303 783 1861 474 2304 644 1089 2606 906 2398 2585 2003 1425 662 1168 477 2830 2491 2838 116 1108 796 1424 6 1924 477 2255 1359 1950 421 1974 450 2793 1611 507 412 978 2304 2687 810 2578 2391 2523 2845 2992 480 1367 1895 2805 253 1037 2008 1235 918 1614 237 1911 2702 698 2723 2432 2078 2771 2513 1971 1261 4 2334 283 146 2228 1354 1372 2605 501 2824 729 1681 2768 1104 2068 2003 1315 1581 1763 2668 106 26 1318 1513 475 996 801 664 2188 1393 1608 500 941 30 157 2176 1991 2122 2428 1158 813 2662 614 1252 275 1651 2093 598 1178 2601 400 2643 2378 1622 2083 1974 428 2665 2350 711 1039 1950 1666 2447 933 2730 2359 2432 79 1629 1266 1790 264 2422 422 2637 1094 2557 800 2280 333 1171 2021 1839 2048 61 1864 433 509 2748 1052 1932 2016 2378 159 2205 1531 1784 2687 1490 2762 2114 1218 1488 940 737 1383 1327 1796 1417 743 2835 736 1860 2054 2615 2309 2361 1733 1176 785 1614 2478 2881 790 182 850 2030 590 1761 737 279 2073 653 2479 1559 212 873 828 2091 111 263 342 2477 609 2356 1263 2728 2957 2313 1412 1307 1587 2375 1671 245 2473 948 2520 947 1187 1699 91 862 1741 2563 2174 2825 568 1598 901 891 1101 2991 2169 2302 1252 87 1343 1183 104 2522 432 1418 1155 886 2169 1240 2947 2434 2843 1113 2652 77 1548 2869 1179 2474 1177 316 1585 167 2264 1703 318 310 706 2139 490 785 2008 339 2687 949 523 2825 744 702 1229 2358 28 2423 2039 2498 2332 2166 463 1628 2333 2002 78 1525 2685 268 2806 1847 2546 1223 1690 874 1429 2155 2513 1475 1616 2425 2046 1021 2549 1920 1432 2688 798 236 1230 2920 2490 1219 605 822 1041 1019 2655 2476 688 222 1525 958 255 707 2473 1023 861 785 375 1471 2782 1460 2146 436 2919 9 1242 2744 1865 2837 158 1043 71 1916 1060 2550 1684 1685 1122 1611 413 1863 639 2324 929 2725 1788 456 1360 965 2562 2586 2013 1162 2519 508 199 2428 1916 1681 411 2281 2599 433 2380 39 2393 2013 1573 1755 215 2824 2621 1949 438 1431 1824 1091 2869 1234 213 1668 1585 765 1461 1918 1930 1309 1538 1218 2146 2144 975 2575 2293 753 1612 2192 489 1305 2225 2111 1946 715 1620 1152 680 1372 448 1561 811 2747 1245 1055 679 1054 504 2041 826 1746 938 448 28 2047 2678 1381 1604 1816 2842 556 820 2247 994 314 2913 2672 146 1158 1905 1090 1786 210 696 754 1415 2337 1013 1119 338 1962 1766 174 447 85 783 2100 1526 2133 2389 2699 722 622 1697 959 1050 669 1212 670 981 0 155 2349 2826 1898 953 677 1853 921 1094 391 1102 1844 980 88 1287 1194 2478 718 1820 2953 2881 495 2748 682 1471 819 256 1836 764 2725 201 992 1510 2740 2323 350 1334 106 602 2877 1794 596 1578 2312 1597 2969 940 2869 1217 2666 1876 2233 2034 2825 102 1500 1981 1107 1043 1797 850 1546 58 1682 946 2304 2375 2674 2264 1992 1285 2572 2943 238 242 1966 2793 2264 838 1927 962 2731 2704 2573 1054 729 2502 717 1409 2696 974 1241 124 1903 1453 1365 210 2333 1787 2765 1737 303 1551 1966 2258 600 2326 2023 2717 2742 1087 212 2006 2737 132 2436 957 91 974 2732 2347 1698 342 1281 861 2325 481 1220 827 2455 669 642 2097 2861 2397 12 265 2569 958 1197 1513 2501 2637 2194 936 1628 611 561 2844 2808 2600 2639 1738 2021 1232 783 1557 2273 1772 2290 609 922 1184 590 2376 552 2060 856 1378 946 1564 1417 33 722 2995 161 1844 2302 2857 1658 1859 583 2534 545 930 1677 198 309 1032 1735 2122 1433 2944 1790 2443 306 824 182 2049 2377 2987 179 2032 2957 469 975 2487 24 16 2713 1695 1859 1946 1391 613 1307 1559 2066 2833 61 1386 1513 2081 1455 1730 2735 2457 1923 2013 939 1694 1446 556 944 1072 2917 2768 2412 678 242 1670 651 2670 64 1004 1920 2254 317 2932 2321 822 695 2950 1525 387 2163 1935 2458 2029 343 2648 1514 2438 1929 628 1829 243 1264 983 252 34 407 2242 2633 1531 473 33 2195 1726 75 597 2306 2378 2716 2894 551 1657 670 577 2290 1911 1822 2064 945 361 1248 896 2826 1135 1263 2878 2162 1470 2151 1187 893 544 2147 1 1919 1831 693 752 737 56 1200 1578 1233 1821 299 2029 919 1660 1318 559 2435 2036 2148 579 987 1544 133 2534 2923 715 990 1241 562 394 2951 349 823 111 2849 1158 127 2507 1657 1794 143 855 299 386 264 1249 2637 2267 926 2679 817 2017 313 210 384 2941 1992 2414 1988 2715 2391 1789 2422 2475 2351 77 1050 2141 108 2795 2531 26 635 103 1035 1792 309 2217 1774 49 599 1085 1809 2846 2881 954 635 2688 2118 1854 473 1987 138 2347 2540 1558 1450 1738 683 960 830 2791 2550 1136 2883 970 1247 2575 221 2280 2278 1433 2612 1407 2395 2098 2990 590 1697 1351 101 490 1274 66 1674 1541 393 1068 2844 933 1941 689 148 1531 1787 16 2008 689 866 763 1584 6 1761 1017 1754 1017 1086 75 548 1841 2960 419 2968 2260 2028 1478 2906 1612 193 507 1248 2250 692 2764 2504 2813 1885 13 754 1262 2853 844 2570 760 358 583 1106 1843 1882 1744 724 1893 1552 582 1594 1432 638 95 1627 241 1505 462 2373 1765 1830 1414 300 2752 2594 230 2422 1054 895 1135 1929 1117 472 1154 1351 2057 1278 1456 2451 2876 2347 501 290 541 2836 1862 1081 9 2549 796 1925 735 851 1318 1670 1390 1694 1874 214 2749 2743 2158 442 1667 690 1769 2623 2525 1025 2550 2794 2706 1530 750 1576 960 2905 2115 785 1406 2029 80 1939 255 879 2946 1703 1782 2065 1599 982 722 669 2876 2874 133 1348 1810 1995 1960 242 397 623 1591 101 538 1167 2921 1910 1015 359 2049 1445 939 1384 419 1290 2209 1331 95 1609 2215 2310 620 2278 2727 547 2246 1694 1014 2891 1178 784 2458 1396 118 2514 820 2858 314 2212 1008 1048 549 1804 158 743 692 2439 1384 822 1270 586 2314 1210 698 486 1624 885 2053 739 1885 622 345 398 1828 2205 975 1516 2421 2146 1379 174 935 774 624 720 1354 423 2385 512 690 2442 568 1424 2205 648 2622 1721 1197 2181 2154 1303 2168 1780 1251 28 1159 1427 2285 714 1349 1149 2819 1405 1811 1239 2471 1360 2894 1708 2801 2419 918 521 1036 2460 2699 1119 558 300 1334 2497 2156 821 2166 1060 2368 1338 2896 1361 468 349 2439 851 728 215 2448 2285 1851 107 828 757 2331 2503 1450 2829 1356 2440 239 1729 2943 1931 1489 1163 1002 761 2482 1002 2068 141 557 1843 1951 2164 1234 1082 2034 1807 2561 158 2925 2084 970 1744 1741 2310 272 1372 2291 2165 2156 1259 1122 764 1238 919 2467 901 1832 974 2138 1351 935 2093 2104 2721 139 764 1331 1090 2538 511 1968 1643 63 1524 174 196 431 2998 356 1628 272 2222 177 2705 1230 1791 925 1004 144 1610 456 487 2832 1157 242 104 1982 88 1194 2092 211 1022 2853 749 1171 2437 592 2054 2976 1825 1499 614 603 410 1762 876 1392 1023 2320 2611 1363 2297 396 1288 2833 233 570 309 1284 1928 1644 1720 923 188 1743 542 1533 1710 953 2745 291 1108 1245 513 2537 1598 354 167 678 1664 1770 2739 401 2744 2513 2538 749 1870 624 1031 1706 99 2517 2793 1307 580 1425 787 944 245 2181 487 2923 1006 239 630 387 2197 1382 2173 689 1260 2452 1301 2785 430 777 2068 1957 2514 1605 757 1227 2892 807 861 125 1235 2762 1408 248 2025 690 2041 2989 1904 2767 464 427 1782 1203 484 474 2991 1481 131 784 2028 1465 1124 538 1500 657 579 2820 2888 1550 2059 1759 2538 2997 1419 1567 2814 638 1721 2877 2596 2096 878 1953 2006 341 2791 144 2046 941 2591 1921 833 2222 1423 1738 1812 930 1351 2253 1955 583 460 1693 2145 166 1623 388 1984 2064 463 573 92 1019 1685 2997 51 1369 2779 2832 1705 2495 209 1397 2236 1511 1005 1046 45 1227 1558 2331 717 2480 1319 1821 860 1512 1484 489 2561 255 531 2427 2036 952 1972 1173 1495 736 1673 1636 2045 958 33 1687 2642 532 47 1092 2555 326 2080 1078 2741 2062 2504 772 2689 2784 684 1472 1946 1515 2571 543 657 2874 1311 2126 1303 2636 730 2506 449 1336 2415 124 1373 1446 157 1191 2695 929 2080 2968 48 2188 786 1698 1480 363 22 2014 1572 1376 1518 655 1265 198 481 5 841 2189 1694 318 1592 2896 2899 2164 1302 1317 507 1968 1634 1224 2337 2503 2443 2730 1058 1602 2712 726 63 1538 849 2503 1336 1281 2408 2532 2636 2634 129 2755 2577 894 420 587 2954 2759 1720 2282 1659 1546 2279 2863 713 1902 1216 1893 242 2446 1094 713 2005 2822 1491 1629 177 931 2328 1202 1929 1660 1110 634 456 742 1955 1463 1813 432 165 539 2856 769 2633 68 2905 114 2949 118 129 1321 120 274 886 2172 1081 341 296 1399 2293 2468 507 2477 2019 2158 727 2923 1870 2449 280 812 642 1359 1202 261 435 1627 2025 1223 2206 1137 1906 2066 531 2008 1485 1135 1132 1677 1918 642 1809 1629 1793 2299 1369 1276 219 2033 652 2480 831 2742 1494 432 633 2604 590 2885 1403 2703 2288 347 1424 838 2478 399 1902 697 2556 2759 2613 2557 2877 604 2548 2334 1593 1068 2941 2173 1047 1946 1519 828 622 2573 2085 295 2727 2331 250 952 1029 2463 823 2057 1965 836 1356 2926 2805 2533 2525 2095 1985 2004 38 944 1395 2709 1441 1596 2255 2834 405 1656 49 2344 107 134 590 2421 983 2329 560 1924 152 178 1463 1787 2077 2945 846 2436 509 1317 1411 1652 1909 661 2518 651 711 1599 2069 911 2486 2994 1106 2444 929 1276 2105 283 2774 2760 2820 1079 2396 1163 11 2070 1762 531 785 2170 2954 461 257 1776 189 2534 1968 2267 2838 1625 2196 2525 2412 242 2021 986 1420 2504 1786 2465 1713 1654 846 2817 793 2668 2260 2167 1029 469 1472 149 1229 2318 1812 2034 2426 866 1168 1761 144 2771 402 1469 1504 249 198 1431 128 2534 1312 330 2783 390 2649 1246 1953 1358 2012 202 930 513 2452 1203 1561 1207 1052 1115 1261 1216 1301 1453 571 2576 1487 1305 2512 1159 92 943 617 2098 2507 2004 1871 2741 1769 90 499 2120 2596 2597 1883 553 2252 1725 2365 1447 1713 1628 1392 2249 449 215 572 828 1544 1515 1759 2951 939 2236 1174 331 411 2648 736 1240 1948 1044 2868 2986 1105 1953 1538 1709 2303 2707 651 1430 2388 1219 2143 2167 967 2837 1074 467 2029 1871 1658 2608 2239 805 2590 1355 2808 599 1158 1186 1480 2958 2182 584 2856 1187 2503 2048 1069 1420 1855 196 906 2973\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 142,
        "task_id": 559,
        "test_case_id": 31,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
        "output": "0 2995 849 2241 1287 58 2371 627 1336 2924 1270 1688 2230 1717 1884 2877 2540 2218 312 1872 2803 235 289 423 2395 2547 2553 1738 1272 2046 1222 1969 1075 755 213 2641 197 1759 86 573 331 273 274 2371 2227 595 2429 2698 2567 514 357 832 2681 2407 916 2873 2745 1598 2182 440 2508 766 1497 2145 1831 2660 2948 1654 1471 376 1887 1620 2329 2289 449 1954 2920 1300 1667 2208 401 2712 2704 824 1632 1035 762 1472 960 86 532 1319 2311 1277 2444 1992 1528 776 1208 1728 1154 1362 2597 548 2601 546 1204 1958 215 1104 2512 2592 201 426 2976 2660 1746 1449 2548 81 79 2318 2089 459 2205 1989 2354 2815 366 2102 594 1626 1729 2925 1322 610 1903 990 2909 2238 2270 660 833 2388 2266 504 1664 344 198 2240 1543 499 2179 882 2546 397 1206 1687 1888 2583 1612 8 1198 91 623 1301 2221 325 486 1819 474 136 1871 852 266 790 839 1318 1339 2411 2477 829 2257 2143 1412 1702 1718 2784 2574 1183 2260 1869 2978 1487 1659 2181 753 2904 1014 1742 830 1698 2962 1653 1101 1375 650 1033 1628 1822 1391 1550 1451 2042 1780 2270 2542 975 2439 1836 2190 2119 1124 791 1991 1754 795 2997 1343 2142 676 667 2954 1121 2961 2869 1467 1548 1265 23 882 578 2318 1465 1808 375 2933 2519 2290 1474 811 2389 1312 1870 619 647 650 543 1488 431 1434 1077 2359 2677 1756 1580 756 621 253 1037 1612 2345 2116 2679 1980 2251 1632 725 862 1658 76 88 892 1486 941 384 1632 2711 1223 2117 471 73 2692 2959 2903 1449 2 2621 2439 254 591 1249 2000 2046 2848 938 2178 815 2652 547 862 1705 420 279 2328 2532 2769 1552 372 2238 1887 1478 637 508 2779 2241 249 1491 1721 1864 483 463 2627 1528 2782 2660 698 1559 2784 2818 2917 1147 769 961 2603 613 173 393 663 1872 799 2768 1583 849 605 786 1217 647 2150 721 346 460 168 629 37 911 2486 1879 1842 2544 2436 117 1068 970 690 948 2010 387 2995 1661 589 1810 477 208 805 2382 10 1119 2428 547 35 2904 2965 1696 2778 1097 2634 2690 2873 367 23 1388 2525 110 1072 2210 242 445 2783 1846 963 117 2887 2097 1570 822 898 2426 349 978 2657 1486 2388 1553 576 357 2184 1881 776 336 1326 43 1305 2117 383 386 2441 1564 1178 999 1423 2542 2052 2094 86 601 1927 337 2366 235 1075 293 2073 1526 1262 2718 105 1092 2737 193 695 2934 2438 2589 988 876 1081 328 1886 1562 1513 2671 906 742 128 432 2617 646 2394 1373 1279 1399 442 285 1396 2293 1622 1692 1740 950 6 2237 1163 126 2602 150 905 2197 1586 2956 2074 907 156 2269 94 936 978 514 1315 1955 1138 523 1441 424 1381 1833 148 723 1250 2789 524 1968 1529 127 691 457 622 2872 1059 2403 2191 1096 1343 2658 1823 1462 2570 506 2057 1914 223 1348 1736 0 780 856 528 57 1268 1471 2546 385 2379 383 1204 228 1867 1976 2599 2553 460 205 864 1471 548 938 2387 2011 2658 877 2822 933 367 2210 1064 2013 1467 1338 805 460 877 1099 339 945 343 2076 1665 2375 2402 2619 1175 153 1611 64 2641 225 2445 2533 1791 601 821 568 2380 1169 617 675 2076 377 2127 2204 1277 1697 1159 273 1183 2822 675 1091 1958 383 42 390 228 896 2557 914 2601 1575 1099 533 2667 1478 289 6 2255 789 1094 369 1682 1784 876 2563 2763 1037 893 2394 23 2016 2500 2970 393 1166 36 2879 2106 409 2568 2716 2326 780 454 957 363 2249 1905 1174 2404 2648 1177 2969 2139 2522 735 1944 694 1120 2822 2082 407 2959 1906 2105 1441 465 245 332 606 2593 1697 2965 1792 2842 2039 1525 412 1761 1127 913 2017 2160 2872 408 977 351 1289 1391 1324 384 1559 1124 2047 285 2840 949 386 1299 1505 1547 38 2094 1871 994 2523 1092 1321 2595 1300 341 1812 2860 2453 2238 2690 1165 2002 1915 2973 2958 737 2176 1128 1358 2321 436 1508 2850 1185 1731 2285 2658 1530 1905 1366 1723 2475 2279 2633 2507 1818 2886 1918 1496 605 1379 1454 2489 1105 2149 2010 2232 1101 1666 1834 1700 434 1716 347 1764 2246 452 1363 111 673 812 291 1150 105 1089 2778 1669 1709 2147 2913 2750 1175 1293 1329 2717 2539 2652 2732 2757 1604 692 1173 2374 1239 391 861 332 1160 2395 433 1125 1017 829 1770 163 1260 2852 1558 765 2852 378 796 2599 693 246 1740 5 877 2028 1537 1951 2128 469 65 1940 2258 197 1236 1816 2978 2602 2891 2278 1833 2562 1478 2255 2122 2027 1014 1135 1312 1525 815 2959 1553 388 1082 287 1581 2066 1619 180 1773 797 2275 1921 896 2672 2772 2673 1154 1540 1611 371 1781 1649 2352 2812 667 924 1208 2002 2041 198 1246 1991 2031 2739 1707 1025 1542 1713 2166 362 769 1542 994 1847 618 1789 854 1171 2643 1420 1812 1636 2603 301 330 1152 2069 2789 1119 648 2326 2661 1492 447 1584 671 540 2603 107 2670 167 1005 1838 637 83 1039 1619 795 1062 2613 1498 2989 2421 866 1850 2634 1771 1363 890 118 1774 1067 1381 197 1500 1159 1345 1905 2464 1045 2388 1696 2930 2598 1053 560 1223 2405 2735 1776 109 2082 849 1634 882 2076 775 2352 1385 904 1414 802 2741 2987 2360 33 2196 2907 2794 2886 2215 1068 2647 779 2903 1210 8 1372 1428 2929 2899 997 518 1619 2094 1549 867 2228 1439 105 349 8 450 606 138 1654 2493 2966 229 2055 948 1077 2661 2909 903 2200 620 2410 2531 269 2237 523 1247 1252 1269 722 1883 2837 1406 391 272 1422 314 2297 134 315 1694 1470 2198 152 2488 185 1448 1285 316 2540 1639 2346 1356 24 2016 2919 1974 727 1741 912 2330 2551 302 477 1474 2947 1686 610 147 834 2010 232 2637 280 2872 2545 364 2584 2352 1535 1437 2873 1095 1871 70 1 2897 1041 2435 1545 291 281 726 2147 1233 575 626 2980 208 830 635 467 1946 2200 2527 1469 838 1651 678 2560 1998 1581 2049 771 1267 2642 1865 1906 161 2716 659 1351 2047 785 2536 490 2378 2971 1949 1255 1936 895 2948 1526 701 2662 997 2410 1407 996 100 971 344 2832 382 485 1874 2988 2987 1156 1391 323 830 19 275 501 1426 2838 1052 2569 597 2923 2078 1340 69 345 2397 847 2726 132 2065 222 2847 36 1404 871 1344 995 127 566 511 1900 2100 2413 2344 1284 697 860 1651 2050 2974 1786 106 61 423 1907 2750 2435 450 292 398 848 2006 2542 1784 1455 488 2742 842 475 2145 2937 2653 1504 171 2491 2699 341 674 2444 2698 2059 2962 1749 918 2819 1884 1582 1836 2403 2362 383 277 2300 1410 706 829 2713 2764 1178 288 184 168 1835 127 1964 2864 634 1188 2054 2598 2942 854 2969 1581 1176 2930 1158 2535 16 1673 52 2695 304 2214 855 1827 2220 2502 2138 261 2397 2992 2946 271 2737 2805 1829 1338 2318 2448 1198 2453 1744 61 1706 973 1119 282 2181 1662 2210 455 665 94 1267 1576 1156 978 1575 1515 2699 569 2828 2131 1374 1708 991 184 1159 1071 2502 1751 1492 2258 2401 2558 900 746 1477 2879 1677 864 2905 1729 2572 178 713 2832 2720 2176 2437 798 2038 1660 1409 2405 62 9 2291 2039 708 1452 2392 1133 985 901 2899 899 422 2170 584 2622 1317 545 2315 1847 346 1060 2498 2640 1107 544 1681 2779 587 1510 2670 2929 936 2344 520 462 1972 1855 1797 125 1799 981 1335 2935 2928 1672 606 818 1648 1821 1004 1725 478 241 2487 354 1704 630 704 2426 2567 1340 2879 2005 2365 1479 2500 2639 478 1344 1251 1902 2550 1063 2952 303 593 2077 156 2586 559 395 2325 1998 1932 2612 2603 478 2574 2939 885 2394 905 645 2142 2977 512 244 579 817 2725 1428 2669 2829 1419 1093 2008 2899 2544 2785 2509 2350 2246 972 1862 939 624 1634 2504 2062 288 2334 2513 2038 1710 2881 2205 2525 1616 418 1292 1156 25 2140 762 942 192 304 1165 1271 442 187 1713 1752 2554 2058 2586 2466 1122 620 2030 1974 115 1203 2018 2868 2431 2372 6 1984 2159 2565 51 409 963 761 1015 1763 1511 2614 2200 900 951 1024 1713 1947 350 546 222 2261 1157 1398 2919 270 1013 1985 537 265 2349 2481 2160 1651 1110 2706 205 565 1529 160 2982 2040 964 1510 1348 830 27 1261 1875 1178 2108 435 2276 812 2966 1508 1025 1025 2806 1982 1004 1058 869 986 324 1443 57 813 2946 2005 824 1249 4 1260 1430 1316 2105 2286 2746 804 1612 2239 157 1857 2345 721 2208 1146 1874 983 1225 1239 54 179 1810 193 2303 1493 368 458 733 2737 425 1494 658 1902 1620 1225 2385 1986 403 91 1307 2387 42 1056 2436 2606 2523 2891 2863 1494 1647 1388 893 2617 1023 287 1598 1297 1741 686 2899 2093 2013 1635 2713 2423 2664 608 2034 2464 194 1229 442 1111 880 1466 2260 2939 1225 2220 2812 2269 9 988 2451 2132 928 1454 1889 235 2918 1714 812 362 525 2297 1149 222 650 2015 43 812 2342 1567 2615 54 2826 910 914 2076 1920 509 2371 1734 2296 1446 437 2176 528 1586 922 885 1390 550 1670 1288 2857 1032 2927 2625 273 347 2271 804 1593 726 478 343 1423 78 2793 72 1357 1980 1449 6 2150 1732 2710 668 2074 317 521 682 672 1859 1939 1276 1925 711 945 1675 1649 133 1084 1464 1895 462 1300 2358 387 2914 266 2987 1441 2844 435 1207 2229 2874 2452 2259 1268 1022 1649 159 1790 677 2233 1104 1655 1500 180 1650 2163 1939 2304 636 1658 270 2189 1644 2634 1072 2465 1689 1129 1462 1399 1306 2461 1883 2772 1435 1079 227 289 776 2059 653 1994 1185 2041 2361 2099 1827 2030 2719 1022 872 86 1928 2958 2788 1187 2317 1263 2036 1644 126 805 1912 138 88 1735 1261 1028 2164 372 2782 1663 2383 241 197 1367 2346 175 2490 2885 2674 2681 1207 240 2944 121 42 542 275 2845 81 1075 284 252 372 646 435 2408 2098 1321 1571 64 486 1077 1065 632 1166 144 2865 703 552 2302 22 1545 2624 1012 1689 2191 2045 1325 1529 1122 531 393 1638 55 631 2738 575 1845 2234 1837 1128 1006 729 2012 298 1040 138 2573 2336 941 894 31 1854 2031 2768 2354 50 561 2086 2235 1409 1682 1924 1898 559 455 1089 939 773 2763 2557 1092 2570 1871 429 2327 2294 1283 47 2774 1522 158 7 1096 1462 2523 1341 2506 1140 2754 2737 583 2418 963 1397 68 1912 702 1017 1587 999 1491 2872 1566 1403 132 977 467 1242 503 1841 1523 2402 1860 2821 1228 2840 1609 2840 114 190 1267 1841 1206 385 2109 2490 2954 2523 839 2153 989 2158 981 2758 1867 2914 2006 1910 1817 648 1750 663 1155 439 50 1105 646 1223 2701 1206 1407 885 2064 1092 278 2477 2206 2520 1836 1630 1807 544 1839 666 314 1287 874 2638 1720 208 50 147 381 2223 1734 1543 2161 2767 690 2279 2853 1067 1171 223 844 918 125 1123 2423 805 638 2542 542 536 1939 146 2592 432 642 2205 372 1828 364 2558 1762 2724 2282 1917 2744 609 997 267 1535 769 1678 1868 1124 2452 594 2805 582 2025 2008 71 1997 2401 88 1821 689 2140 2744 2636 2583 27 2717 1428 1502 2811 2200 2074 1399 1748 1809 2718 659 1058 2515 1224 935 1662 921 1167 902 2231 322 424 978 2391 2421 643 2169 428 754 616 2012 1398 2029 317 1433 858 1788 497 1018 847 187 1373 1882 2529 2950 648 2703 874 2297 1021 1648 1284 2122 1641 41 2233 2410 974 1430 55 2320 280 2298 2189 1120 723 2075 2513 658 1895 2599 2487 2684 2647 1414 1498 1929 2280 2563 2742 784 2853 6 502 1452 2334 1904 605 1837 157 2791 2184 2406 1991 503 2394 2572 2186 1229 1821 92 375 1368 2251 1144 1136 676 1303 2197 1510 703 1662 1230 436 377 536 720 420 2927 659 887 1147 1264 332 2382 353 498 2662 857 1314 1602 829 632 1439 1859 945 67 79 511 2393 1800 116 1696 621 2818 1539 304 626 1956 1312 2805 1018 148 1756 2774 25 882 2219 2128 199 1258 2972 2875 602 719 672 1896 1949 2352 670 2754 1057 2477 948 2112 1609 2127 776 1367 68 461 2495 2437 811 1975 1261 275 963 1180 1780 864 2037 1528 142 1603 413 2190 2907 524 2279 789 201 1998 377 2380 1892 2838 2945 1928 1942 2924 896 1471 1319 1495 1181 2252 2916 1348 1192 2973 2673 1770 510 2014 2414 1277 171 2821 2627 1245 1720 1200 1868 674 1772 912 106 360 2056 2904 2056 1348 1398 780 2473 2810 1989 1654 2813 1264 438 1227 2905 569 1666 2544 1678 861 2446 2257 2475 1182 1627 2631 2866 2780 319 1032 2158 2852 1543 2389 878 847 2289 289 1651 1879 1921 1363 933 865 1008 1529 992 2680 610 2118 1340 1983 1026 133 951 32 1922 288 951 975 178 35 2558 2378 2529 2277 194 477 1010 1482 2159 1302 353 2395 994 2480 1898 156 1353 1727 1695 2860 477 285 2789 1753 1630 2319 2948 1483 90 2007 1035 2674 2330 2364 2852 1157 88 1683 53 161 2163 825 918 168 1433 2632 1174 2129 2165 2276 515 346 1231 2110 1943 576 1816 2190 2435 1573 1519 1105 2645 2144 471 1576 730 1357 19 2172 0 2740 1440 896 1663 358 1022 2168 1023 64 950 1427 628 324 248 369 2828 1206 1765 2425 1376 161 2549 789 209 1368 966 828 426 1062 2141 1323 1546 2141 1628 2023 735 1158 1420 2870 2365 170 2360 2584 1323 2478 1210 2574 836 484 2033 2688 2834 1935 106 858 2993 936 139 1109 817 1460 2373 1884 2193 2940 951 1911 584 2875 1738 1389 1233 2692 1410 586 2484 1460 1102 2635 1606 2613 1558 2151 1475 100 2912 1646 48 238 916 1008 649 1424 2343 199 1233 2627 1146 230 2193 1263 1412 2012 550 371 713 1403 956 1944 2888 21 1801 1755 1739 893 2522 2488 1180 350 2425 1600 1753 1868 2304 193 1684 2427 2406 2662 2263 699 2817 2350 471 1316 801 2953 684 1162 2294 1873 1027 2310 2007 1297 2210 279 1107 1325 1540 2625 2995 2463 834 2441 2944 1037 1199 1566 2568 200 1613 2232 1395 680 1345 1621 1662 1950 1751 1075 239 916 1898 1412 1412 2733 2426 1792 1636 1483 1325 322 2817 1881 244 2354 1464 608 508 2744 2742 1767 2300 1507 1232 2823 2811 1537 1824 235 1348 2249 776 2288 2085 2774 1182 2085 1184 1609 2964 2633 117 1227 83 2350 1624 2942 679 202 2723 2715 375 1068 1056 2181 1139 1516 1374 2393 188 1541 2423 2722 2589 1495 2909 2152 2688 2425 2264 2450 2526 2943 2743 1779 1200 2157 887 2172 1108 2483 1077 528 21 163 1619 1460 1967 1863 97 1098 721 812 1717 841 2397 703 1704 2600 275 390 2313 2795 655 2933 62 2031 991 1149 2526 37 989 2021 1612 2936 2124 225 511 416 2447 1497 1699 2700 622 2208 2094 2247 1606 637 2447 2017 1299 1294 919 811 1344 2405 2846 1804 2320 564 2101 2328 198 2104 2051 716 527 803 2350 1813 2246 2055 2763 2794 1656 911 161 579 885 1525 1881 784 1398 2074 2163 2494 802 1357 1838 1340 300 2024 1054 484 1724 1089 2348 813 2504 1094 1072 2627 1343 610 2576 2494 2366 1631 381 2010 2657 918 1855 2759 2572 278 1810 2673 2439 1268 85 356 489 2397 2039 625 1317 674 2298 1228 590 1982 1410 1119 2442 1126 2397 2824 1691 370 2948 2559 2780 1076 836 2169 871 2090 1964 12 365 779 2867 2082 1813 586 322 1691 2375 69 2006 2539 2076 1495 1862 1936 539 2549 732 2128 830 534 2440 2040 2193 2750 2835 1670 939 1222 239 2816 941 1714 2778 466 1835 2289 829 827 1956 2043 2419 2207 1240 1369 963 593 1998 1516 1 1536 762 799 2994 1891 381 966 745 1977 257 1225 2837 2689 284 2386 626 2183 7 950 1940 435 419 2995 931 2325 1804 2108 86 308 2312 1333 2146 2554 309 969 1944 86 2516 1030 1547 1049 1611 880 2521 1633 238 2482 957 2588 1137 1497 1162 1782 2146 2263 1642 2121 2911 2376 2026 2661 941 1963 147 1178 2342 1984 301 2799 2765 2262 754 348 605 2615 556 2708 2063 2467 955 1890 511 583 1719 875 1917 2433 1301 359 797 1187 1032 559 351 1613 2981\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 143,
        "task_id": 559,
        "test_case_id": 32,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2999\n0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
        "output": "0 2374 132 1999 2444 199 1884 1169 118 929 2728 2691 1803 2425 802 1040 2857 770 435 1122 1324 1629 1180 39 997 253 2361 2322 403 23 303 1744 131 265 1645 2173 130 157 2077 1408 110 862 1241 1077 1381 751 2842 2505 1011 1474 1516 597 563 827 2019 990 906 356 193 2672 288 1099 1786 99 953 1294 1879 1787 2550 1415 29 473 1855 1724 2250 1840 2373 1134 2141 2919 2969 1713 2750 1776 2074 2218 2785 632 283 1927 894 1226 1241 1686 2142 853 975 2393 2242 2592 712 2885 1761 1278 557 1919 2272 89 1878 907 357 974 786 925 866 2191 2194 2350 317 367 2067 841 597 1694 2689 2891 2128 2887 814 2585 1877 361 1 1862 2895 675 1510 2099 652 496 514 2862 1862 1815 2292 612 2986 1495 2738 2066 11 2524 1929 1721 290 188 1771 1922 1070 2634 1606 1620 1560 1041 1946 358 2281 1247 2567 2854 1263 1148 2369 2381 2225 1631 2697 2692 2699 2821 1645 660 409 1329 659 530 838 731 956 1529 2142 2767 2850 1517 577 612 2104 2786 1180 1258 156 146 2795 2688 2375 416 684 69 2694 371 1843 1542 1322 160 724 624 10 1357 987 243 426 1288 2203 2618 1741 1689 999 1037 2910 2280 2178 2722 2456 2342 2554 2052 1449 1242 677 2907 2047 2403 2956 198 891 1140 260 203 521 2179 1847 2333 903 849 363 432 1644 2426 717 642 1004 444 2032 777 844 1590 2354 2592 2310 2125 2653 1408 1465 1111 1275 1708 2348 2040 2629 845 2733 687 550 956 172 1499 289 469 2623 2665 773 224 675 2273 2449 2471 416 2241 367 747 1615 2123 1960 393 1288 1157 1265 890 1750 1377 1166 1788 845 2011 342 167 2656 50 1397 2378 932 2350 2051 2676 1388 1332 1524 1606 2614 143 135 2297 2714 106 2193 817 1916 918 1394 167 142 2533 2120 416 2079 1074 1640 148 2129 989 2154 178 464 2105 2138 2251 2109 1083 1543 2087 2865 1791 635 1853 33 530 652 2887 424 332 2305 2978 1155 1068 2654 978 578 1089 756 655 2833 2683 1942 2650 153 2885 1877 788 2741 2995 1134 2292 2803 2954 956 389 462 1176 1520 983 1880 2055 924 698 2286 353 1460 2216 1283 133 2124 1393 918 1340 2084 1623 1954 247 2041 1096 1249 1699 2717 2234 2790 2291 2093 889 2121 2217 2478 2791 2038 2670 2146 2901 2575 1213 1097 44 1435 2527 614 2162 2211 1492 2537 57 2332 1801 261 1575 2841 1747 914 345 2093 103 2734 2177 2378 571 1670 2566 638 2140 1810 1006 2165 1620 2711 1670 64 1575 2967 980 2479 1500 2380 2510 2275 623 1539 1361 881 1389 2018 1658 811 835 2177 1999 799 1860 1656 2795 1593 2349 455 1266 1137 1215 579 108 2796 568 1758 965 2330 468 1230 1746 2938 1438 2733 804 1868 574 1617 279 2107 2923 1840 2923 1708 5 2911 1153 1752 1644 524 989 517 1055 1523 1349 2795 54 992 1321 1341 2947 245 1818 2433 48 2622 602 55 2300 171 1829 432 2700 2376 1964 794 844 239 1775 1465 1807 1737 2775 883 1634 36 840 2168 2480 1863 1264 1003 2437 494 747 1546 2679 688 381 1812 596 2820 566 2257 2293 2188 383 658 103 1101 1329 179 1755 1669 2067 1402 2910 415 1943 702 2629 897 1979 1210 46 304 2455 1403 2365 1204 1290 658 266 2725 853 1484 1101 2156 1569 1398 1974 2904 2264 1630 1591 157 2701 422 818 1962 381 19 630 2038 1292 1246 561 2835 2572 347 2726 2399 2422 1436 730 2462 1052 1015 778 867 2692 2399 520 1135 2360 2464 1610 882 1608 1540 919 313 2132 529 655 1376 134 1181 419 1594 1685 2619 2568 1318 1419 893 2154 596 1952 2970 345 651 2143 900 236 1782 751 1495 2821 2670 314 2847 1577 1934 1093 455 1804 1313 1569 2680 2008 1405 180 379 1902 2969 1973 971 1182 457 1276 2779 1909 1696 693 353 1409 1905 1969 1268 155 2027 449 179 497 2211 2039 2714 1543 150 1494 2476 1594 379 458 1897 2377 2339 2590 2619 1663 2681 2579 2765 2409 2852 1840 1238 615 2698 808 299 1923 684 1015 1411 2537 2461 24 291 428 2449 2107 562 10 745 2665 855 1827 505 2399 764 1322 2024 631 520 1641 2670 1793 1808 2330 2896 1719 1296 2905 1614 1745 2630 1212 311 2882 2714 461 2157 2314 2910 1041 2885 2924 481 1803 2661 2294 1150 2252 1448 1851 224 2237 2107 687 2078 720 2728 2656 2146 2899 2555 1596 1886 531 2998 1115 526 2922 221 2460 2233 722 1605 895 2409 2218 2948 242 637 2662 361 2725 1796 1135 2043 2844 326 674 1526 2826 311 576 564 315 2814 2947 2379 128 87 667 1381 2924 2025 2163 1744 997 1512 1081 1003 1116 2819 1915 2620 494 1621 1752 1724 2552 420 596 1434 1222 1290 2494 995 965 2921 2023 1733 1484 673 513 1233 500 2714 2484 1585 2695 2087 950 2700 1035 35 199 569 1881 1163 1822 1638 410 1225 2026 2098 2195 2072 2024 701 227 400 124 2687 625 561 2953 639 2468 1637 98 2043 96 1534 1070 2265 433 457 1486 1900 1185 56 376 2802 2100 2076 1728 1785 2349 478 1343 1574 1463 1489 188 1869 1531 1136 252 300 1638 1849 92 756 197 2539 1063 218 2339 2366 1748 484 165 94 2387 2596 1863 1268 2737 1774 1772 2292 1494 2342 2563 2654 332 2731 1759 1032 2177 356 1125 92 1770 2216 1976 2871 997 1170 212 2424 2481 2821 200 536 1454 109 405 1850 307 739 1453 2233 1450 116 984 2163 10 90 2733 2458 2005 434 2158 2015 260 159 1111 573 1163 51 207 937 717 1312 471 2963 2298 20 308 1442 292 1751 1462 350 2177 2454 2179 1288 2814 2127 1195 1672 1897 1502 2159 745 1867 71 695 1722 2390 1919 116 2186 1445 1845 2532 2572 1997 236 2611 923 747 572 2737 1063 2846 700 1743 1488 1011 1751 1365 800 1055 1711 588 1606 1417 1744 640 2447 1533 662 646 2459 2038 684 2089 2349 1505 1286 811 2243 2307 1620 284 524 1808 374 2802 725 1876 2202 1136 449 637 435 258 833 2963 2901 1491 2969 1877 2786 2525 1542 2508 290 2834 2477 1427 829 1160 1686 1183 1968 41 2564 1241 2909 2037 125 707 2041 1048 1097 2962 866 2219 2675 2653 2399 138 2304 2702 2305 1735 159 315 1560 2387 1597 1010 2669 1099 2456 588 436 2019 188 2709 1412 1072 708 247 1966 712 2942 2843 2965 1104 310 1872 1118 1943 1829 27 2613 161 1676 2988 419 616 278 839 2077 1690 2051 283 1555 1891 596 2379 1620 376 2429 15 2497 1514 1815 1903 2704 2 1521 124 2775 2979 2260 1530 1539 2933 1424 463 2945 2750 2445 63 624 512 1733 1354 2049 474 1387 1081 638 758 2426 256 2859 113 2688 232 2448 345 1114 1063 766 1763 2127 1417 980 1763 2503 2116 1189 2062 2928 454 1050 1435 586 1956 2812 95 1522 2069 1403 568 2771 727 2615 1497 547 1953 1433 1762 1727 2371 119 1516 2428 977 844 1486 1184 1238 2843 31 2929 978 356 1838 527 915 1656 1305 2085 1987 2662 176 1558 753 1967 1719 2827 2460 2671 2245 480 1294 1049 1006 2490 409 2898 1350 1965 2914 1085 150 1536 416 32 27 1694 2240 697 1119 20 2733 1619 2607 530 1696 1671 1002 282 201 353 1955 795 1756 562 880 1667 1134 2870 2601 1234 2844 467 500 2685 1103 1538 1180 905 1425 643 2487 318 2595 1476 2664 951 2117 456 955 1286 615 2611 1339 382 1813 2063 827 1963 863 349 2879 510 1564 2254 675 1150 931 122 384 2132 2432 44 612 1938 1988 1909 2369 1976 1420 516 678 313 833 1992 2133 1613 19 2598 2172 971 1002 2001 2454 2816 157 1600 2406 188 1932 2327 1352 1616 1584 2429 1011 467 468 632 747 657 27 1538 1493 1875 2515 559 2572 2216 2413 2031 448 760 2763 905 1149 1818 1554 1897 2099 2636 2611 1632 1235 1627 1235 2848 1768 2890 325 2095 277 2248 670 653 1305 2096 2300 2972 2090 2453 642 1361 2072 1989 259 1912 2044 1908 1899 2150 2951 2964 314 2418 1524 1623 2655 1734 1229 1471 2828 1399 1606 1378 1228 2834 1076 73 2347 2197 2996 2374 132 1999 2444 199 1884 1169 118 929 2728 2691 1803 2425 802 1040 2857 770 435 1122 1324 1629 1180 39 997 253 2361 2322 403 23 303 1744 131 265 1645 2173 130 157 2077 1408 110 862 1241 1077 1381 751 2842 2505 1011 1474 1516 597 563 827 2019 990 906 356 193 2672 288 1099 1786 99 953 1294 1879 1787 2550 1415 29 473 1855 1724 2250 1840 2373 1134 2141 2919 2969 1713 2750 1776 2074 2218 2785 632 283 1927 894 1226 1241 1686 2142 853 975 2393 2242 2592 712 2885 1761 1278 557 1919 2272 89 1878 907 357 974 786 925 866 2191 2194 2350 317 367 2067 841 597 1694 2689 2891 2128 2887 814 2585 1877 361 1 1862 2895 675 1510 2099 652 496 514 2862 1862 1815 2292 612 2986 1495 2738 2066 11 2524 1929 1721 290 188 1771 1922 1070 2634 1606 1620 1560 1041 1946 358 2281 1247 2567 2854 1263 1148 2369 2381 2225 1631 2697 2692 2699 2821 1645 660 409 1329 659 530 838 731 956 1529 2142 2767 2850 1517 577 612 2104 2786 1180 1258 156 146 2795 2688 2375 416 684 69 2694 371 1843 1542 1322 160 724 624 10 1357 987 243 426 1288 2203 2618 1741 1689 999 1037 2910 2280 2178 2722 2456 2342 2554 2052 1449 1242 677 2907 2047 2403 2956 198 891 1140 260 203 521 2179 1847 2333 903 849 363 432 1644 2426 717 642 1004 444 2032 777 844 1590 2354 2592 2310 2125 2653 1408 1465 1111 1275 1708 2348 2040 2629 845 2733 687 550 956 172 1499 289 469 2623 2665 773 224 675 2273 2449 2471 416 2241 367 747 1615 2123 1960 393 1288 1157 1265 890 1750 1377 1166 1788 845 2011 342 167 2656 50 1397 2378 932 2350 2051 2676 1388 1332 1524 1606 2614 143 135 2297 2714 106 2193 817 1916 918 1394 167 142 2533 2120 416 2079 1074 1640 148 2129 989 2154 178 464 2105 2138 2251 2109 1083 1543 2087 2865 1791 635 1853 33 530 652 2887 424 332 2305 2978 1155 1068 2654 978 578 1089 756 655 2833 2683 1942 2650 153 2885 1877 788 2741 2995 1134 2292 2803 2954 956 389 462 1176 1520 983 1880 2055 924 698 2286 353 1460 2216 1283 133 2124 1393 918 1340 2084 1623 1954 247 2041 1096 1249 1699 2717 2234 2790 2291 2093 889 2121 2217 2478 2791 2038 2670 2146 2901 2575 1213 1097 44 1435 2527 614 2162 2211 1492 2537 57 2332 1801 261 1575 2841 1747 914 345 2093 103 2734 2177 2378 571 1670 2566 638 2140 1810 1006 2165 1620 2711 1670 64 1575 2967 980 2479 1500 2380 2510 2275 623 1539 1361 881 1389 2018 1658 811 835 2177 1999 799 1860 1656 2795 1593 2349 455 1266 1137 1215 579 108 2796 568 1758 965 2330 468 1230 1746 2938 1438 2733 804 1868 574 1617 279 2107 2923 1840 2923 1708 5 2911 1153 1752 1644 524 989 517 1055 1523 1349 2795 54 992 1321 1341 2947 245 1818 2433 48 2622 602 55 2300 171 1829 432 2700 2376 1964 794 844 239 1775 1465 1807 1737 2775 883 1634 36 840 2168 2480 1863 1264 1003 2437 494 747 1546 2679 688 381 1812 596 2820 566 2257 2293 2188 383 658 103 1101 1329 179 1755 1669 2067 1402 2910 415 1943 702 2629 897 1979 1210 46 304 2455 1403 2365 1204 1290 658 266 2725 853 1484 1101 2156 1569 1398 1974 2904 2264 1630 1591 157 2701 422 818 1962 381 19 630 2038 1292 1246 561 2835 2572 347 2726 2399 2422 1436 730 2462 1052 1015 778 867 2692 2399 520 1135 2360 2464 1610 882 1608 1540 919 313 2132 529 655 1376 134 1181 419 1594 1685 2619 2568 1318 1419 893 2154 596 1952 2970 345 651 2143 900 236 1782 751 1495 2821 2670 314 2847 1577 1934 1093 455 1804 1313 1569 2680 2008 1405 180 379 1902 2969 1973 971 1182 457 1276 2779 1909 1696 693 353 1409 1905 1969 1268 155 2027 449 179 497 2211 2039 2714 1543 150 1494 2476 1594 379 458 1897 2377 2339 2590 2619 1663 2681 2579 2765 2409 2852 1840 1238 615 2698 808 299 1923 684 1015 1411 2537 2461 24 291 428 2449 2107 562 10 745 2665 855 1827 505 2399 764 1322 2024 631 520 1641 2670 1793 1808 2330 2896 1719 1296 2905 1614 1745 2630 1212 311 2882 2714 461 2157 2314 2910 1041 2885 2924 481 1803 2661 2294 1150 2252 1448 1851 224 2237 2107 687 2078 720 2728 2656 2146 2899 2555 1596 1886 531 2998 1115 526 2922 221 2460 2233 722 1605 895 2409 2218 2948 242 637 2662 361 2725 1796 1135 2043 2844 326 674 1526 2826 311 576 564 315 2814 2947 2379 128 87 667 1381 2924 2025 2163 1744 997 1512 1081 1003 1116 2819 1915 2620 494 1621 1752 1724 2552 420 596 1434 1222 1290 2494 995 965 2921 2023 1733 1484 673 513 1233 500 2714 2484 1585 2695 2087 950 2700 1035 35 199 569 1881 1163 1822 1638 410 1225 2026 2098 2195 2072 2024 701 227 400 124 2687 625 561 2953 639 2468 1637 98 2043 96 1534 1070 2265 433 457 1486 1900 1185 56 376 2802 2100 2076 1728 1785 2349 478 1343 1574 1463 1489 188 1869 1531 1136 252 300 1638 1849 92 756 197 2539 1063 218 2339 2366 1748 484 165 94 2387 2596 1863 1268 2737 1774 1772 2292 1494 2342 2563 2654 332 2731 1759 1032 2177 356 1125 92 1770 2216 1976 2871 997 1170 212 2424 2481 2821 200 536 1454 109 405 1850 307 739 1453 2233 1450 116 984 2163 10 90 2733 2458 2005 434 2158 2015 260 159 1111 573 1163 51 207 937 717 1312 471 2963 2298 20 308 1442 292 1751 1462 350 2177 2454 2179 1288 2814 2127 1195 1672 1897 1502 2159 745 1867 71 695 1722 2390 1919 116 2186 1445 1845 2532 2572 1997 236 2611 923 747 572 2737 1063 2846 700 1743 1488 1011 1751 1365 800 1055 1711 588 1606 1417 1744 640 2447 1533 662 646 2459 2038 684 2089 2349 1505 1286 811 2243 2307 1620 284 524 1808 374 2802 725 1876 2202 1136 449 637 435 258 833 2963 2901 1491 2969 1877 2786 2525 1542 2508 290 2834 2477 1427 829 1160 1686 1183 1968 41 2564 1241 2909 2037 125 707 2041 1048 1097 2962 866 2219 2675 2653 2399 138 2304 2702 2305 1735 159 315 1560 2387 1597 1010 2669 1099 2456 588 436 2019 188 2709 1412 1072 708 247 1966 712 2942 2843 2965 1104 310 1872 1118 1943 1829 27 2613 161 1676 2988 419 616 278 839 2077 1690 2051 283 1555 1891 596 2379 1620 376 2429 15 2497 1514 1815 1903 2704 2 1521 124 2775 2979 2260 1530 1539 2933 1424 463 2945 2750 2445 63 624 512 1733 1354 2049 474 1387 1081 638 758 2426 256 2859 113 2688 232 2448 345 1114 1063 766 1763 2127 1417 980 1763 2503 2116 1189 2062 2928 454 1050 1435 586 1956 2812 95 1522 2069 1403 568 2771 727 2615 1497 547 1953 1433 1762 1727 2371 119 1516 2428 977 844 1486 1184 1238 2843 31 2929 978 356 1838 527 915 1656 1305 2085 1987 2662 176 1558 753 1967 1719 2827 2460 2671 2245 480 1294 1049 1006 2490 409 2898 1350 1965 2914 1085 150 1536 416 32 27 1694 2240 697 1119 20 2733 1619 2607 530 1696 1671 1002 282 201 353 1955 795 1756 562 880 1667 1134 2870 2601 1234 2844 467 500 2685 1103 1538 1180 905 1425 643 2487 318 2595 1476 2664 951 2117 456 955 1286 615 2611 1339 382 1813 2063 827 1963 863 349 2879 510 1564 2254 675 1150 931 122 384 2132 2432 44 612 1938 1988 1909 2369 1976 1420 516 678 313 833 1992 2133 1613 19 2598 2172 971 1002 2001 2454 2816 157 1600 2406 188 1932 2327 1352 1616 1584 2429 1011 467 468 632 747 657 27 1538 1493 1875 2515 559 2572 2216 2413 2031 448 760 2763 905 1149 1818 1554 1897 2099 2636 2611 1632 1235 1627 1235 2848 1768 2890 325 2095 277 2248 670 653 1305 2096 2300 2972 2090 2453 642 1361 2072 1989 259 1912 2044 1908 1899 2150 2951 2964 314 2418 1524 1623 2655 1734 1229 1471 2828 1399 1606 1378 1228 2834 1076 73 2347 2197 2996\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 144,
        "task_id": 559,
        "test_case_id": 33,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "7\n1 1 1 1 0 1 1\n",
        "output": "1 2 4 1 2 4 1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 145,
        "task_id": 559,
        "test_case_id": 34,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "11\n0 0 1 1 1 0 1 0 0 0 0\n",
        "output": "0 7 1 4 1 0 1 4 1 7 7\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 146,
        "task_id": 559,
        "test_case_id": 35,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2969\n0 1 0 0 0 0 1 0 0 1 0 1 0 1 1 0 0 0 1 1 0 1 1 1 0 0 0 1 0 0 0 1 0 0 0 1 1 0 0 0 1 1 1 0 1 0 0 1 0 0 0 0 0 1 1 0 0 1 0 0 0 1 1 1 0 1 0 1 0 1 1 0 0 0 0 1 0 0 1 1 1 0 1 1 0 1 1 0 0 0 1 0 0 1 1 1 0 1 0 1 1 1 1 1 1 0 1 0 0 0 0 1 1 1 0 0 1 1 1 1 0 0 0 1 0 0 1 0 1 1 1 0 0 0 0 0 0 0 0 0 1 0 1 1 1 0 0 1 0 0 0 0 0 0 1 0 1 1 1 0 0 0 1 1 1 0 1 0 1 1 1 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 1 1 0 1 1 1 1 1 0 0 1 0 1 1 1 1 0 0 1 1 1 0 0 1 0 1 1 1 1 1 1 0 0 1 1 1 0 0 0 1 1 0 1 1 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 1 0 0 1 1 1 1 1 0 0 1 1 0 0 0 0 0 0 1 0 1 0 0 0 1 1 0 0 1 0 1 0 1 0 1 0 0 1 1 1 1 0 0 1 0 0 0 1 1 0 0 0 1 0 1 0 0 1 1 0 0 1 1 1 0 0 0 0 0 0 0 0 1 1 1 0 0 1 0 0 1 1 0 0 1 1 0 1 0 0 1 0 0 0 1 1 1 0 1 1 1 1 1 1 0 1 0 1 0 1 0 0 0 1 0 0 1 0 0 0 1 0 1 0 1 1 0 0 1 0 0 0 0 0 0 1 1 1 0 1 1 0 0 0 1 1 0 0 1 1 1 0 1 1 1 0 1 0 1 0 0 0 1 0 0 1 1 1 1 0 0 0 0 1 0 0 0 1 0 0 1 0 1 1 0 1 0 0 1 1 1 1 1 0 1 1 0 0 1 1 0 0 0 1 0 0 1 0 1 1 0 1 0 1 1 0 0 1 0 0 1 1 0 0 1 0 1 1 0 0 0 1 1 1 0 1 0 0 0 0 0 0 0 1 1 1 1 1 1 0 0 1 1 0 0 0 1 0 1 1 1 1 0 0 0 0 0 1 0 0 0 1 0 1 1 1 0 0 1 1 0 0 1 0 0 0 1 1 0 0 1 1 0 1 0 0 0 0 1 1 0 1 0 0 0 1 0 1 1 1 1 1 0 1 0 1 1 0 0 1 1 1 1 0 0 0 0 1 0 1 0 0 0 1 0 1 0 0 0 1 0 1 1 1 1 0 1 0 0 0 1 0 0 1 0 0 0 0 1 1 1 1 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 1 1 1 1 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 1 0 1 1 0 0 0 0 1 1 1 1 1 0 0 0 0 1 0 1 0 0 1 1 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 1 1 1 1 0 1 0 1 1 0 1 0 0 0 1 1 0 0 1 0 1 0 0 1 0 1 0 1 0 0 1 0 1 1 0 0 0 0 1 1 0 1 1 0 0 0 0 0 1 1 1 0 1 1 0 0 0 0 1 1 1 0 0 1 1 1 0 1 0 0 0 0 0 1 0 0 1 1 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 1 1 1 1 1 0 0 1 0 1 0 0 0 0 1 1 1 1 1 0 1 1 1 0 1 0 1 0 1 0 1 0 0 0 1 0 0 1 0 1 0 1 1 1 0 0 1 0 0 0 0 1 0 0 1 1 1 0 1 0 0 1 1 0 0 1 0 0 1 1 0 1 0 0 1 0 1 0 1 1 1 1 0 1 0 0 0 1 0 0 1 1 1 0 0 1 1 0 1 1 0 1 1 1 0 1 0 0 0 0 0 1 0 0 1 1 0 1 0 0 0 1 0 0 1 0 1 1 0 1 1 1 1 1 0 0 1 0 0 0 1 0 1 0 1 0 0 0 0 1 1 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 1 0 1 1 1 0 0 1 1 0 0 0 0 0 0 1 0 1 0 0 1 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1 0 1 0 1 1 0 0 1 1 0 1 1 1 1 1 1 0 0 0 1 1 1 1 1 0 1 0 0 0 0 0 1 1 1 0 0 0 1 1 0 1 1 0 1 1 1 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 1 1 0 1 1 0 1 1 0 0 1 1 0 0 0 1 1 0 0 1 0 0 0 0 1 1 1 1 0 1 1 1 0 0 1 1 1 1 0 0 0 1 0 0 1 1 1 1 1 0 0 0 0 0 1 0 1 0 0 0 0 1 0 1 1 0 1 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 1 1 1 1 0 1 1 1 0 0 0 1 1 0 0 0 0 1 1 0 1 1 0 1 0 1 1 0 1 0 1 1 1 1 1 1 0 1 1 0 1 0 1 0 1 1 1 0 1 0 0 1 1 1 0 1 0 0 0 1 1 0 0 0 1 0 1 1 1 1 1 1 0 0 1 1 1 0 0 0 1 0 1 0 0 1 0 1 1 1 1 1 1 1 1 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 1 1 1 1 0 0 1 0 0 1 1 0 0 0 1 1 1 0 0 0 1 0 0 0 0 1 0 1 1 1 1 0 1 1 0 0 0 1 0 0 0 1 0 1 1 0 1 0 1 0 1 0 1 1 0 0 1 0 1 1 0 1 1 1 0 1 1 0 0 0 0 0 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 0 1 0 0 0 1 0 0 0 1 1 1 0 1 0 0 1 0 0 0 0 0 0 1 0 1 1 0 1 1 1 0 1 1 1 1 0 0 1 0 1 1 1 0 0 0 1 1 0 0 0 0 0 1 0 1 0 1 0 0 1 1 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 1 0 1 1 1 0 0 0 0 0 1 1 0 1 0 1 1 0 0 0 1 0 0 0 0 0 1 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 1 0 0 0 1 0 0 1 1 1 0 1 1 1 1 1 1 1 0 0 0 1 1 0 0 1 1 1 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 1 0 1 0 0 1 1 1 0 1 0 0 0 0 1 1 0 0 1 1 0 0 1 0 1 1 0 0 0 0 1 0 1 1 1 0 1 1 0 0 0 0 0 1 1 0 1 1 0 0 1 1 0 1 0 0 1 1 0 0 0 0 0 0 0 1 0 0 1 1 0 1 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 1 0 1 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 1 0 0 1 1 1 1 1 0 0 0 1 1 1 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 1 1 0 0 1 0 0 0 1 1 1 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 1 0 1 0 0 1 1 0 0 1 0 1 0 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 0 0 1 0 1 0 0 1 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 1 0 1 0 1 0 1 1 1 0 0 0 1 1 1 1 0 0 1 0 1 1 0 1 1 0 1 1 1 1 1 1 0 1 1 0 0 1 1 1 1 1 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 1 1 0 0 1 0 0 0 0 0 0 0 0 1 0 1 1 1 1 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 1 0 1 1 0 1 1 0 1 1 1 0 0 1 0 1 0 1 0 0 1 1 0 0 0 0 0 1 1 1 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 1 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 0 0 1 0 0 1 0 0 0 1 0 0 0 1 1 1 1 1 0 1 0 1 0 1 1 1 1 0 0 1 0 0 1 0 1 1 0 0 1 1 1 1 0 0 1 1 0 0 0 1 0 0 0 1 0 0 1 1 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 1 1 0 0 0 1 0 0 0 0 0 1 0 1 0 1 1 1 0 1 0 0 1 0 1 0 1 1 0 1 0 0 0 0 0 0 1 1 0 0 0 1 1 0 1 0 1 1 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 1 1 1 1 0 0 0 0 0 1 0 1 1 1 0 0 0 0 1 1 0 0 0 1 0 1 0 1 1 1 1 0 0 0 0 1 1 0 0 1 1 1 0 0 1 1 0 0 1 1 0 1 1 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1 1 1 0 1 0 0 0 0 0 0 0 0 0 1 1 0 1 1 1 0 1 1 1 0 0 1 1 0 0 1 0 0 1 1 0 1 0 0 0 1 1 0 1 1 0 1 0 0 1 0 1 1 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 1 0 1 1 0 0 0 0 0 0 0 1 1 0 0 1 1 0 1 0 0 0 1 1 1 1 1 1 1 1 0 0 1 0 0 1 1 0 1 1 1 0 1 0 1 1 0 0 0 0 1 1 1 1 0 1 1 0 1 0 1 0 0 0 0 1 0 0 1 0 1 0 1 0 1 1 0 1 1 1 0 1 0 0 1 0 0 0 0 1 0 0 1 1 0 0 0 1 0 0 1 0 1 1 1 1 1 1 1 0 1 0 1 0 1 0 1 0 0 1 1 1 0 1 1 1 0 0 0 0 1 1 1 1 0 1 0 0 1 0 1 1 1 1 0 1 1 0 1 0 1 0 0 0 1 1 1 0 1 0 0 1 0 0 0 1 1 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 0 1 0 0 1 1 0 0 0 0 1 0 0 0 1 0 1 0 0 1 1 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 1 1 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 1 1 1 1 1 0 1 1 0 1 0 0 1 0 1 0 0 0 0 1 0 0 0 1 0 0 0 1 1 1 0 1 1 1 0 1 0 1 1 1 0 0 0 0 1 0 0 0 1 0 0 0 1 1 0 0 0 0 0 1 0 0 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 1 1 0 1 1 0 0 1 1 0 0 1 1 1 1 0 0 0 1 1 1 1 0 0 0 1 0 0 1 0 1 0 0 0 0 1 1 0 0 1 0 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 0 0 1 1 0 1 1 0 0 0 1 0 1 0 1 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 1 1 0 1 1 0 0 0 0 1 0 0 0 0 1 1 0 0 1 1 1 0 1 0 0 0 1 0 1 1 0 0 0 1 1 0 0 0 1 0 1 0 1 0 1 0 1 1 0 1 0 0 0 1 0 1 0 1 0 1 0 1 0 0 1 1 0 1 1 1 1 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 1 1 1 1\n",
        "output": "0 764 781 1528 784 2157 2903 1524 1245 947 898 2123 2395 88 114 530 1669 2444 1857 357 617 227 1234 2301 1503 1094 1277 229 233 2830 1032 1211 168 639 577 1178 1687 1542 1428 2002 1569 144 839 645 2707 403 2453 201 1633 897 162 1129 372 1355 605 585 2171 402 2046 2574 1413 2166 729 1836 39 2489 140 2191 1152 109 1499 1650 1718 823 2496 2920 356 1987 1482 2071 1163 594 1384 151 1742 2290 52 414 1012 1278 564 216 2869 2922 2546 2529 2962 2085 1059 329 1207 1056 2353 634 1133 523 1611 2209 2021 1735 1506 352 736 2723 879 938 1988 2647 1548 2552 2150 1879 1714 2704 441 1575 1238 56 2544 1855 2939 954 253 1767 1848 1330 1132 2648 2111 1873 1919 2369 2392 198 2504 2511 1262 1902 937 1102 623 1535 1274 1000 1797 2059 2351 543 708 1560 2267 2604 1268 813 1516 1621 2196 403 1107 1944 719 2093 366 2604 2058 2292 1855 2405 2294 1640 1679 1940 2399 2170 2205 2967 1957 1497 1973 437 136 878 1492 593 1499 2546 120 2529 746 2236 1670 668 873 709 2410 1345 2888 1139 727 524 2761 1303 1125 191 739 184 2783 1484 2804 1092 1335 1489 1934 2726 258 575 670 2060 511 1930 457 2112 2854 1647 155 2491 2297 2072 251 1216 1668 2251 2219 2258 737 87 1668 955 2779 741 1334 777 1087 321 2641 2377 935 1248 2141 2039 2011 1350 2238 607 2653 1412 833 762 1161 917 1554 676 626 71 1920 2690 1638 2184 26 1476 2732 1406 1071 2618 908 2596 2929 774 1763 908 1735 63 1418 2884 1268 2304 1669 2104 658 1057 1956 1689 2096 322 1665 2874 417 290 483 356 1374 1229 2380 1354 2736 2153 1942 804 1396 510 2194 2851 1987 1729 658 2367 1768 2099 1889 2346 988 303 865 220 2181 207 239 188 1747 2850 1440 102 2818 1898 1477 1122 151 2403 939 2188 1071 2683 2400 604 2070 1788 299 822 2456 2258 227 2535 1677 1170 376 1365 562 2471 1114 894 2291 1239 657 1300 147 1186 2573 1268 1827 2765 2875 2723 882 1361 1979 1598 1000 2070 1151 1799 704 1409 891 1137 1872 1281 1695 2583 962 40 1890 770 1088 2399 255 1423 992 1170 1510 2371 1584 2847 2666 2816 434 1995 36 1583 1097 382 2189 1597 1204 279 2655 538 2723 727 1768 1003 1810 891 1612 375 1107 2450 1344 2198 938 924 2700 2844 367 1173 353 2891 2331 588 1676 2357 385 1289 1100 1112 1330 775 2743 1189 1722 345 1521 2146 2860 2246 2930 1876 2171 679 872 1813 304 2537 2102 593 2462 2187 1468 470 1587 2361 2423 1457 454 2815 1843 116 1145 990 51 1529 1444 1626 1567 902 910 978 2192 2966 2438 1761 539 1062 920 1354 1579 71 98 2190 801 1979 2928 1015 365 783 2267 1734 2895 0 1189 2027 2379 2716 965 2520 1788 1597 1023 2256 1303 2737 2037 1280 707 1424 2188 2328 2397 1728 2201 397 2649 1705 2781 832 1400 1328 1310 2118 1845 632 1309 276 1421 919 559 1226 2567 2350 2429 2324 1668 82 2451 231 1371 2724 1036 935 2290 439 1499 2664 2841 1080 1854 1790 1141 1724 1363 1883 2931 979 1893 1633 2437 324 294 2411 205 2097 208 640 2169 544 174 2791 731 2259 1296 2852 1178 771 605 1423 862 2531 2590 2865 2136 447 146 868 358 161 878 2323 1343 1938 54 2804 2457 1775 859 2856 703 652 511 779 2456 2094 2253 2443 2887 2685 2959 2088 888 2094 593 732 1952 2365 2628 2094 637 2266 669 649 1254 2749 979 2418 719 411 1195 1307 440 604 590 2511 309 2681 54 424 2047 2102 821 660 2200 864 2454 2288 2324 1466 1389 1479 519 853 469 876 2705 282 1752 1071 1206 1672 2151 2112 963 1559 2694 509 158 349 966 2304 2824 1736 111 2363 2080 1815 1492 18 2825 2600 2383 1105 1691 1927 2961 657 2269 431 1830 399 2336 2483 530 2949 774 1437 288 47 1600 2800 806 2215 198 1967 2234 1536 1014 1496 1237 709 202 604 746 1146 1357 1252 949 811 1919 2805 912 516 1935 1831 1082 1670 2789 1052 1994 990 553 843 1250 1060 2386 1287 941 424 980 162 1308 987 814 560 1047 1139 649 1450 289 814 2146 1071 807 442 1611 2132 350 2000 228 2475 872 350 1623 109 1339 2782 2074 1234 127 2033 479 2853 2551 870 602 1011 2570 1521 1561 2048 309 2394 2448 1883 1269 752 2694 11 454 326 1924 2840 702 434 245 1354 2237 1150 1746 1623 1827 2528 895 1562 2412 1109 2532 1500 751 2496 1919 711 2961 2496 356 2492 155 982 2099 1052 571 2351 14 1715 1255 2044 1611 2170 2160 1474 960 2269 2550 2583 1793 634 1133 976 2359 740 2516 2910 822 2575 951 2614 2329 321 1992 2827 1641 1055 197 1374 86 866 1918 1254 497 2768 87 1257 2898 766 124 318 821 704 1940 320 2190 2409 1491 473 1969 291 1872 178 1737 756 2067 2031 2206 2846 676 2423 380 2177 2764 444 2145 1912 578 250 1441 2300 1443 1109 1037 732 2230 2328 1624 380 2382 1245 1713 774 1945 2900 650 2113 1571 2944 2444 2880 2078 1699 4 1788 2906 2828 1118 1095 1831 2549 1378 2264 1543 1584 117 198 105 2267 2378 2220 1614 1070 130 1006 1537 2017 2507 1853 1209 221 350 2299 879 1087 239 1138 2713 2881 794 1542 1178 2369 1551 1756 1089 2469 498 61 2785 1892 2588 1712 499 2558 2605 1421 369 2461 1572 1275 1266 2578 442 1101 2156 1562 349 1794 2567 843 1523 2036 1745 451 527 63 1830 1070 2165 2257 558 1287 2485 1246 2723 657 1962 408 800 570 1014 2669 1281 1837 2873 1709 2672 249 552 2705 1991 894 1243 1640 1729 448 1061 776 1839 2657 2321 1877 106 2604 425 2382 2489 327 550 2468 2347 2468 1773 174 171 2407 204 1207 1111 401 91 2347 1919 111 2264 772 772 2671 119 2169 2450 151 832 1333 1193 1909 660 1966 1519 1733 721 1308 654 2422 2952 407 692 2861 1522 2923 902 577 1497 1228 2100 2124 1340 2171 2165 1372 756 2595 464 1457 2616 2348 2378 2241 1624 1673 2278 2517 7 2152 2888 2842 1938 523 277 1186 1767 1653 856 2807 2900 1400 1470 805 2151 2726 1557 1311 857 1374 2471 680 257 1447 2068 950 1739 1362 1643 981 568 2254 2935 104 1932 176 2046 1224 2674 1295 163 1383 223 355 2632 2915 2925 2652 1448 1512 787 1975 2135 1888 2440 1232 2267 234 2727 28 2710 1668 806 500 690 158 347 2052 706 1483 313 910 1837 396 2285 978 921 612 336 1146 920 364 2425 2179 382 2947 2752 1359 1605 2476 2593 1169 997 1676 1574 770 440 1163 2101 1005 2557 745 463 2775 2063 2170 1185 2500 2717 346 2959 1754 155 2099 2105 1309 1761 2407 2113 751 2948 968 380 2322 1881 2285 2363 1222 625 1552 1817 2056 1549 512 1333 2944 1428 651 507 1340 2297 1934 2566 1488 964 907 2324 1722 384 1201 1007 1698 2788 1304 83 203 1127 2238 1500 2370 1997 2917 689 2031 2399 1625 910 1692 1065 937 2132 1597 977 539 2362 2388 1572 2046 1017 2459 1953 1290 992 959 2090 1403 362 923 2441 2152 1081 1050 2523 1516 1872 1749 2717 982 885 392 1928 1568 1944 661 27 1732 1856 2284 1040 2330 748 1046 1742 657 2576 668 2797 2139 224 1145 1608 1408 2744 317 1231 1786 2741 1550 2267 531 1884 634 1375 2516 1465 1394 1998 1273 2667 88 418 2028 1232 1625 943 1185 940 1612 119 1823 449 2884 482 2254 485 2402 1971 955 2290 1027 478 189 2245 1383 491 1352 2093 1258 954 2644 1212 345 2650 2545 2141 2415 1669 1278 727 1755 1310 2549 1876 70 360 2713 1259 2333 959 1977 2355 1313 1821 690 1351 1503 2300 2351 1546 83 979 2054 421 2916 2418 2433 626 1078 2045 1765 1642 1442 40 1615 227 1252 1929 1265 661 2538 791 1622 154 1010 1821 1259 2469 1760 1606 70 591 2039 123 637 1627 1925 73 1448 755 371 275 2542 2671 724 101 958 1915 1518 2572 2390 2746 1293 359 2397 2191 420 1249 1754 2936 6 1569 932 2400 1433 2665 2692 1151 328 1831 697 836 287 745 2283 2291 1258 476 1479 2403 1404 2504 689 2367 549 540 1283 2829 2740 875 2656 2877 1826 572 1480 2588 145 1614 963 814 39 1283 904 1685 2681 1504 2943 2663 676 2142 893 1041 205 2638 1230 229 2158 1926 2438 1507 1573 1784 172 1055 2833 329 722 1511 35 2939 1676 2328 544 149 983 372 1094 968 956 1585 1548 255 281 1798 884 2368 1449 911 1050 2065 298 2823 2492 1567 416 1720 1990 2706 328 1412 1141 1944 2086 1507 1350 589 2654 61 2469 1221 1520 802 73 1675 579 1593 614 443 1992 2061 1365 1240 87 1346 2771 2766 363 1564 2791 2927 459 1546 2420 278 2905 2537 766 1808 24 140 1146 589 275 1752 783 493 2848 219 151 952 977 2030 518 91 57 1904 1113 1953 245 2652 1312 2844 661 1192 414 1833 758 2345 1794 1026 2278 1919 1357 580 484 2652 2865 567 1012 2527 532 2732 1795 510 2397 2796 451 1456 2057 2067 276 2207 2121 900 1406 1314 642 1538 290 1733 219 536 1785 2936 1464 2625 1823 2298 711 969 938 60 2270 1365 1447 2650 698 2935 1674 505 1411 1574 1873 1330 1136 2001 1904 815 2096 1463 1033 2443 1427 672 2475 1751 1653 1360 461 204 377 1304 433 478 2475 2653 1555 2740 1417 2439 968 1129 1231 982 789 1090 1374 2644 1704 2619 922 1291 1794 1833 624 2210 137 2725 2764 1918 473 58 2196 2101 1442 2056 1851 1689 2953 1265 1520 737 57 2504 592 1033 113 721 2872 2277 2223 2306 2192 1852 2762 1663 2442 276 2316 2115 2912 2232 501 2443 1347 865 1201 388 1340 839 1190 2614 2495 2040 2634 436 793 837 245 1299 504 1127 792 602 60 2269 8 1205 425 660 2315 308 1957 379 2861 1710 1251 775 1226 2547 723 2203 1644 455 2484 1183 2878 1905 777 635 2159 2273 2267 564 1006 945 1832 2247 2954 692 133 317 295 1579 526 2024 1554 759 65 2060 2502 2360 1434 181 1130 1670 1378 1518 2061 2955 2884 1013 187 2737 1588 1907 844 1523 1236 2265 1216 688 2083 1203 928 1080 1746 2028 1262 2197 2484 2925 2051 587 2228 2014 2285 2920 1987 1325 2716 631 636 1190 1180 628 306 1085 118 548 2225 389 151 2675 2670 550 562 2532 1035 1359 2923 31 2247 1166 862 1634 1970 1655 599 2750 2905 1099 1596 1027 2 244 1068 1448 1173 790 2531 2158 1128 751 2754 1414 2633 350 2131 525 2826 1993 894 2842 225 2735 696 2551 1597 2204 763 2571 942 1902 643 305 130 959 77 2927 1354 1146 1393 2227 2532 1476 310 712 2646 474 2075 326 2657 573 572 2664 2652 2961 608 1285 2834 2555 315 1675 1342 2739 2285 476 2521 197 2002 979 36 2718 247 1665 1160 2099 2383 45 1213 1441 1432 1837 1423 1680 1894 623 1283 1854 2841 1543 292 126 684 2255 2801 1297 372 176 1717 542 125 824 1638 1357 28 2824 1529 1220 820 2544 2373 1522 1372 2762 2692 1413 1107 428 2564 1459 2816 1858 2383 1040 2410 1198 958 86 1391 22 1602 615 1250 45 374 2849 267 166 855 1761 2701 586 62 2738 737 1036 68 773 568 844 718 1658 2422 642 1454 2758 2414 2688 1066 1578 741 1967 1564 1316 2597 194 2318 295 648 114 2560 2453 2414 1064 1705 1815 337 651 1389 708 2425 1554 349 1845 377 1611 320 137 1500 2783 2768 743 2305 1173 314 226 2643 2590 1257 2427 353 2402 2861 1433 2913 1246 220 1623 2159 1027 1642 2849 1395 1889 2000 2704 1725 2856 2215 92 1739 2832 2155 356 292 2015 280 1218 2178 1288 297 2281 437 1538 36 1368 528 2725 2175 1851 1578 140 2119 319 798 435 887 84 2310 97 2324 2267 1087 2061 1760 803 570 2431 1570 2878 487 2061 1301 138 1873 367 786 1733 587 1975 1306 1549 1997 2174 629 1705 1324 905 2365 2614 815 381 535 2685 318 2394 189 1869 1643 1757 526 763 94 2965 376 1942 101 2377 675 2064 1035 2217 692 1526 2632 572 2912 1669 2693 1347 836 2628 2176 841 2106 2653 2022 206 1018 1497 2219 2348 2456 629 112 21 1971 2240 2406 2618 2048 1692 1129 572 376 1830 61 162 2601 913 2257 2023 693 1001 1874 2918 2352 2368 1224 1807 829 2105 1839 1061 453 2365 610 580 1571 1712 1758 240 1247 1955 454 891 773 239 2579 55 429 663 1734 2647 1119 258 842 1497 977 2049 2299 1666 1986 190 1856 974 137 2879 2165 2861 1827 1500 2528 911 95 1415 1417 260 206 156 2367 1900 1722 921 793 476 1161 1499 680 1698 949 2171 1716 1455 2593 2541 429 1260 2752 99 1460 1063 1551 722 2763 151 2487 1332 2440 1102 2764 714 1816 2590 2719 511 2688 1518 1978 1676 2658 510 2744 241 1732 2329 596 1831 1822 850 695 620 205 2213 77 690 2486 1896 209 1583 2915 2402 788 2098 2548 2613 1766 1724 289 2425 2587 2190 2240 2561 1848 1845 2089 2049 2541 1098 1607 537 2622 2944 1661 2813 2610 1306 1437 373 2482 478 529 317 618 2029 1257 2561 1558 1928 213 2023 1094 1724 1113 1259 904 769 2230 2361 1206 2498 230 1687 1525 16 2406 2254 2317 585 2298 177 1532 739 439 1147 37 2691 2098 981 2286 1986 2355 585 2503 2358 2690 2245 911 1156 1244 2638 2133 818 1215 742 2254 229 1121 2148 2674 951 1973 2626 1977 1787 1020 2259 168 1428 1019 2922 126 886 807 1552 1716 1256 1825 2934 2054 2501 705 1579 2675 1885 1836 2106 453 1108 162 892 978 1310 2292 303 498 2866 2340 796 1146 2832 118 1813 2434 146 953 836 1844 2321 1580 2589 2021 1940 2863 1015 1434 2020 1258 156 1396 2746 906 773 1672 2625 2535 2634 1797 2790 2438 1690 2320 1467 1347 729 1206 1366 92 1914 2477 1668 16 544 1488 720 2868 975 1479 2785 2704 198 2613 1380 2274 601 226 516 578 587 2710 822 2891 748 1855 2285 2307 2269 2794 871 412 710 1692 458 548 1624 2422 2150 2342 1098 2575 510 815 574 1264 1061 2852 646 484 2944 1260 2827 1868 802 2490 2893 1447 2956 1194 1016 937 2883 346 2836 2952 2397 519 1675 1537 2524 2725 1191 2696 2930 2489 2652 63 1317 2396 598 1054 754 530 2822 2023 1035 2000 2018 2330 203 1201 98 496 1108 2824 393 605 1500 744 1309 577 450 2049 1706 582 840 1717 876 1494 73 517 2104 1959 1225 19 2112 508 899 2708 1432 1116 1966 2057 859 411 751 1264 76 696 18 1053 150 1499 2811 2029 2938 2350 501 3 2859 2763 1043 2776 1422 1932 2285 1608 523 610 922 1112 2668 1603 1695 1692 2901 576 1125 411 227 625 1177 1580 2268 1730 1695 103 1170 729 2808 2038 339 602 978 1798 341 2899 3 1618 2385 2661 1537 1521 2051 2547 1413 867 2301 1246 2206 797 922 2920 2859 1569 1190 2546 468 210 341 876 2360 2910 264 497 1901 1988 137 1428 1036 1495 269 1655 2529 2023 2091 1996 968 2454 1985 1582 1893 1199 895 2754 1329 1612 2852 2347 1173 2072 780 32 1543 1802 1820 2597 1229 1736 688 794 2200 1566 1481 212 1723 1758 1422 2082 412 1901 519 493 2273 1715 1139 1502 164 67 2798 1 2057 2194 2171 1289 1885 1573 32 2873 61 2018 101 1404 1163 350 1806 878 21 686 2176 819 666 1769 1978 927 2594 1441 2849 2756 2339 2350 2479 1020 742 845 2442 2528 560 1401 1543 386 2414 1740 1116 1144 613 1132 1451 1020 1560 2950 1658 2383 558 1421 36 696 901 2776 2544 1482 1304 366 2617 148 1582 606 2413 1344 1960 2123 1120 2826 1392 1271 214 1968 146 1162 1635 1610 1563 735 241 86 385 2737 931 751 237 2522 1039 284 2329 980 2854 2625 2418 537 2756 99 1925 1229 1907 69 2194 628 2807 559 229 361 2044 21 37 2846 2442 1311 732 1227 143 1421 2096 1962 1113 306 663 2490 2818 388 1639 182 786 2898 2235 2164 249 1992 1038 2395 2922 2789 539 2469 1831 2864 2818 2801 2316 265 621 2148 1714\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 147,
        "task_id": 559,
        "test_case_id": 36,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2971\n1 0 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 0 0 0 0 1 0 1 1 1 1 1 0 1 1 1 0 0 1 1 0 0 1 1 1 0 0 1 1 1 1 0 1 0 1 1 0 1 1 1 1 0 0 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 0 0 1 0 1 0 1 1 1 1 1 1 1 0 1 0 1 0 1 0 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 0 1 0 1 1 0 1 1 1 1 0 0 0 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0 0 1 1 1 1 1 1 1 1 0 1 0 1 1 0 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 0 0 1 1 1 0 1 0 0 1 1 1 0 0 0 1 0 1 0 1 0 1 1 1 1 1 0 0 1 1 0 1 1 0 0 1 0 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 0 0 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 0 1 1 1 1 1 1 1 0 1 0 0 1 1 1 1 1 0 1 0 1 0 1 1 1 1 0 1 0 0 1 0 1 0 1 1 1 1 1 1 1 1 0 1 0 1 1 0 1 1 0 1 0 1 1 0 1 1 1 0 1 1 1 1 1 1 0 1 0 1 1 0 1 1 1 1 1 1 1 0 1 0 0 1 1 1 1 0 0 1 1 1 1 1 1 0 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 0 0 0 1 0 1 1 1 1 0 1 1 0 1 1 0 1 1 1 0 1 1 0 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 0 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 0 0 0 0 1 1 1 0 1 0 0 0 0 0 1 1 0 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 0 1 1 1 1 1 1 0 1 0 1 1 1 0 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 1 0 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 0 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 1 1 0 1 0 1 1 0 1 1 1 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 1 0 1 0 1 0 1 0 0 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 0 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 0 1 1 1 1 0 0 1 1 1 1 0 1 0 0 1 1 0 1 1 1 0 1 1 0 0 1 0 0 1 0 0 1 1 0 1 1 0 0 1 0 0 1 0 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 0 1 0 1 1 1 1 0 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 0 0 0 1 0 1 1 1 1 0 1 0 1 1 1 1 1 0 1 0 1 0 1 1 0 1 1 1 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 0 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 1 1 1 1 1 0 0 1 0 1 0 1 1 1 1 1 0 0 1 1 1 1 1 0 0 1 1 1 1 1 0 1 0 0 0 1 1 0 0 1 1 1 1 1 1 1 1 1 1 0 0 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 0 1 0 1 1 0 0 0 1 1 1 0 0 1 0 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 0 1 0 1 1 1 0 0 1 0 1 0 0 0 1 0 1 0 1 0 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 0 0 1 0 1 0 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 0 1 0 1 1 1 1 0 1 1 0 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 0 1 1 0 1 0 1 1 1 0 1 1 1 0 0 0 1 0 1 1 1 0 1 0 0 1 0 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 0 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 0 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 0 0 0 1 1 0 1 1 0 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 0 1 0 0 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 0 1 1 1 0 1 0 0 1 1 1 0 0 0 1 1 1 0 1 1 0 0 0 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 0 1 0 1 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 0 0 0 1 1 1 1 1 1 0 1 0 1 0 0 1 1 1 0 1 0 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 0 1 1 1 1 1 1 1 1 1 0 0 0 1 1 1 0 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 0 0 0 1 0 1 1 1 1 1 1 0 1 0 1 0 0 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 0 0 1 1 1 1 1 0 0 1 0 1 1 1 1 1 0 1 1 1 0 1 0 0 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 0 1 1 0 0 1 1 1 0 1 0 1 0 1 1 0 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 0 0 0 0 0 1 1 1 1 1 0 1 1 1 1 0 1 0 1 0 1 0 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 0 0 1 1 1 1 1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 1 1 0 0 0 1 1 1 1 1 1 0 0 1 1 1 0 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 0 1 1 0 0 0 0 0 0 1 1 1 1 1 1 1 0 0 1 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 0 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 0 0 0 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 0 0 1 1 0 0 1 0 1 1 1 1 1 0 0 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 0 0 0 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 0 0 1 1 1 0 1 1 0 1 1 0 0 0 1 0 1 1 1 1 1 0 0 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 0 0 1 1 1 1 0 1 0 0 1 1 1 1 0 0 1 1 0 1 1 1 1 1 0 1 1 0 1 1 1 1 1 0 1 1 1 0 0 1 0 1 1 0 1 1 1 0 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 0 0 0 1 1 1 0 1 1 0 0 0 1 1 1 1 0 1 0 1 1 1 1 0 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 0 1 0 1 1 1 1 1 0 0 1 1 1 1 0 1 0 0 1 0 1 1 0 1 0 1 0 1 1 1 0 1 0 1 1 0 1 0 0 0 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 1 1 0 1 0 0 1 0 0 0 1 1 1 0 0 1 1 0 1 1 0 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 0 0 1 0 1 1 1 0 1 1 1 1 1 1 0 1 0 0 1 0 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 0 0 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 0 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 0 1 0 1 1 1 1 0 1 1 1 1 0 1 1 0 1 1 1 1 1 1 0 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0 1 0 1 0 0 1 1 1 1 1 0 1 1 1 1 0 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 0 1 1 1 1 1 0 0 1 1 0 0 0 1 1 0 1 1 0 0 0 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 0 1 0 0 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 0 1 0 0 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 0 1\n",
        "output": "1 855 1985 2019 1591 2286 2032 594 1961 1018 603 863 2062 2577 949 2770 2621 845 761 2653 351 1352 305 2607 336 1906 664 274 1216 1571 2193 1906 927 1355 422 121 982 2188 1795 500 2419 2435 731 1942 400 23 1265 2841 1519 2428 1160 1644 1725 2595 986 771 336 2248 1024 979 2421 2832 1421 2010 613 553 1663 2644 892 289 532 641 2254 589 2199 393 310 2384 2022 430 2092 2393 147 1908 699 1718 664 1511 1023 310 229 2344 1388 575 1785 82 724 2256 481 550 1187 17 2388 1036 519 1594 405 108 921 77 392 2328 391 760 2003 2839 1205 1640 2791 2520 1072 1775 1859 2876 1856 2034 391 2903 1256 2011 206 1517 2132 1726 1195 1585 1315 1114 45 1077 596 1753 693 1513 1941 2941 2216 2306 1366 1133 303 1726 1957 1147 2372 349 2360 692 930 211 2300 379 2389 1795 382 2238 596 1244 1220 1768 2898 204 1771 1297 1275 2025 2355 2893 1649 2263 494 1911 503 2661 1892 2146 1886 530 1152 517 557 2858 1998 2669 1212 1963 236 1485 2670 608 2180 1894 2002 2430 166 2666 229 2936 174 2242 2050 1380 1413 2676 1336 14 1666 2377 182 2015 272 1876 1806 192 1739 2247 2302 321 2220 540 2963 278 1317 1561 2345 1164 913 644 2942 248 2545 1854 1586 872 1712 1568 780 695 917 356 2711 2843 593 2539 2334 1569 1780 2331 272 846 1493 1657 451 2871 466 103 187 1195 523 319 1558 1542 2875 2021 1419 2310 2530 177 1692 1856 389 1879 1639 1102 166 1763 1298 2206 1251 927 2618 2238 2079 2821 510 155 1727 1475 1098 1422 2944 2492 1973 2832 572 2761 308 2680 1972 1863 1140 2093 262 378 664 1129 2381 2849 254 2764 96 1529 294 1507 591 179 2768 1980 1171 2022 1286 1742 1400 1981 987 973 2572 2434 1820 1959 1603 78 2748 985 2519 1354 2082 1867 68 1448 2819 2902 2737 1895 2725 738 2170 686 2463 2670 83 496 66 618 2739 2742 2173 1762 2111 1604 2559 1742 852 2918 900 1210 1717 1314 1032 2464 1272 2742 2457 511 2674 268 1907 926 573 1431 1009 1282 2238 1954 1744 1078 2927 411 626 537 753 2184 1705 387 489 351 432 738 2032 839 2350 2344 2523 625 1789 1124 1778 2420 2539 2188 610 1778 944 1595 1844 416 1543 564 106 859 2417 1394 1921 2459 1186 1158 2602 2246 1156 701 2951 1632 1996 118 2419 1399 2614 2958 1376 704 2521 1830 1658 1066 1797 1188 1318 2316 1978 1967 1169 739 1948 2214 65 1155 444 1436 1557 873 1010 1169 592 364 1781 1972 1031 468 995 1652 2143 2698 2636 2897 1850 286 2380 2075 1961 2359 2850 1297 1534 2262 2164 2043 2885 1821 1090 981 1327 1020 2700 1215 731 1866 161 1720 2913 140 217 2354 1565 1653 967 1274 2925 1447 860 1220 608 1720 1869 2151 150 976 2431 762 276 18 816 792 556 227 1284 2743 2542 186 1754 1837 1339 594 1387 2962 2248 894 307 2285 576 1594 721 2628 715 479 107 1310 406 455 1196 767 318 1678 68 2357 2775 337 1719 998 548 2679 2462 2657 1000 1093 1630 1302 1004 97 1233 425 2493 1494 1037 1050 1839 382 635 2143 1154 2269 2765 1319 1381 978 559 590 2261 1236 1235 2668 112 984 2213 2505 1775 139 322 1854 2002 2063 2834 1158 2515 989 2146 1590 1719 929 778 2369 480 2325 896 207 1548 291 2089 934 2757 1148 286 1416 685 549 2915 870 2834 291 185 2531 177 284 1235 1889 2137 2321 366 931 2462 93 2284 660 1112 2676 18 2387 2039 2194 553 960 1011 121 1066 2279 2296 1960 394 438 2458 2227 480 826 2603 1412 2730 492 453 1286 2460 143 1747 1432 2424 298 771 816 2515 1760 453 2961 860 1173 1491 1917 2406 1364 2506 2532 2911 1679 1538 1 2240 119 299 2321 1606 1134 615 214 2630 165 2099 2868 2626 2418 1980 2594 2899 206 1117 2182 2872 1879 1206 310 1035 156 2759 1715 2061 1013 2279 949 848 2557 1760 437 1114 991 2179 1664 5 2452 1914 2001 205 2675 2121 1947 2273 1605 2848 2767 2650 665 1549 2348 486 1806 2949 1275 1107 901 1317 1637 1031 786 938 118 2162 2055 1222 263 363 139 1275 1594 2405 699 588 102 1899 1419 1758 172 690 1069 1130 2314 2278 1835 2204 960 1932 187 478 2216 2358 2927 1095 2381 1669 147 1674 283 2562 1044 68 2602 2175 2370 492 1147 2255 1028 1261 1113 2787 879 1809 808 2072 1817 1013 1669 1625 210 2125 2776 1871 2757 2623 389 2086 2877 61 1798 846 1071 2597 1654 864 2037 2245 1114 1704 2963 187 2136 1192 393 1275 2160 300 1133 1726 1427 1354 634 1131 2436 2325 2828 2173 2244 2285 1905 335 2513 1020 402 2291 1764 1220 1994 2428 1245 1465 2111 1699 1534 1319 1269 1748 1464 1393 92 1410 193 2212 2007 2342 1360 1950 712 834 1773 1719 2770 2333 1506 54 2292 2570 2574 351 2381 890 81 1166 2827 1445 1018 315 2259 2592 1563 1318 1429 23 2115 260 664 1956 2704 1686 686 1915 2131 1156 2014 463 1622 1717 1845 1484 1891 1622 1026 2647 1332 311 2273 561 1876 1982 2310 280 509 2657 468 2576 2763 616 1104 2943 1599 1267 2464 980 1431 2202 770 2490 2470 2763 2767 1638 1142 2954 1455 1986 832 184 665 2638 1587 2634 1710 2293 2107 253 1464 1045 2535 57 942 2398 516 1948 823 1973 1973 1363 1676 758 2420 2272 732 2071 1720 809 2152 1491 1092 254 1533 698 1731 2947 2309 2721 1387 1664 1532 2385 2125 766 1640 2674 2490 2397 870 1463 2205 222 1246 2688 582 2421 632 359 1597 433 730 1069 1527 2648 1623 2332 1982 2640 1921 235 2237 1441 1026 2912 2363 166 513 758 1188 2176 1785 2737 676 1782 133 480 1952 2487 597 521 2229 1990 2013 1388 80 2644 2373 177 390 2754 2722 2030 49 342 1102 1427 2743 674 500 1335 1529 1884 2951 2623 2740 2793 1487 2795 466 351 2428 1372 1462 1985 582 820 39 2340 1138 175 832 2620 1578 650 895 2620 2375 1925 2632 145 2477 270 1952 2653 1538 938 2143 2532 567 1131 1702 1436 857 968 94 444 452 2257 2817 1879 391 1397 1271 728 818 456 1010 2786 85 2155 1838 2779 362 1646 2562 1572 434 2702 669 636 2230 2039 1214 1960 2124 2016 2116 435 2604 2282 2498 2450 369 2465 2437 1697 725 1022 1991 960 1625 475 129 35 917 1386 755 138 2855 868 2862 2186 1152 695 409 1925 455 717 374 1945 1656 655 1603 2612 1183 2481 231 1263 1530 503 2224 2949 2648 1766 116 942 2646 472 184 2700 1916 1777 2372 2959 149 163 2893 1787 2674 1493 1205 2569 164 2017 136 670 384 1977 2192 599 1960 2195 820 1661 722 114 1341 537 1471 2658 1602 1398 2 1312 760 2073 2596 799 244 740 2937 2152 728 185 1134 93 190 1153 756 390 1747 1342 2196 1746 2842 1448 2273 1346 2455 1916 1910 1911 1308 153 2586 824 1152 2927 2022 1956 1679 2626 1934 2717 747 2181 1814 2630 949 418 977 4 2707 1180 683 417 2326 261 2705 1229 1166 2688 1181 1385 487 96 1117 1713 681 1707 1235 263 1164 920 2745 225 2094 1952 659 1711 918 801 330 747 1825 2807 1145 2695 591 1504 987 2665 1638 275 1563 98 2192 1260 1202 1893 1802 2928 1960 2783 2379 635 2163 1126 1251 589 2478 2077 2380 948 1399 481 1733 2089 1958 1708 1780 1552 2588 2076 2491 1106 580 2259 771 92 2729 671 2672 2286 2508 39 523 2336 2139 615 1613 2041 1040 2953 1986 751 2745 2694 1227 2596 555 781 519 212 2225 2274 1750 2343 2956 2637 1490 412 1069 2128 539 2489 725 241 32 1655 2898 201 2181 723 145 54 448 285 639 1695 1593 960 2818 2633 1784 2137 2548 430 320 1486 2611 2068 1595 1980 2745 2905 1773 1992 2884 1574 1190 600 680 2954 1200 2844 345 850 1469 2608 881 2789 2685 763 2311 2357 1811 90 2446 683 947 1640 1738 1223 2190 2248 689 174 2422 422 2835 92 2790 1378 51 276 921 2158 2695 1816 21 1498 2650 2681 1976 1410 1819 829 2680 1602 1453 1222 1474 2098 2107 2161 847 588 156 973 46 467 945 1953 1882 840 499 702 2667 2335 2437 2692 1933 2642 2414 714 520 105 2414 1829 1874 590 1485 2219 1983 2206 1114 837 558 936 2345 2113 2465 1314 754 2497 374 2911 400 501 2831 1887 1658 904 205 1327 617 1696 2947 2613 1682 2844 2066 2615 152 342 1012 191 852 2931 2397 2144 2680 939 2369 2155 535 865 2506 2140 428 363 2062 151 2241 927 2708 1945 2871 1927 2077 1782 2033 1900 331 898 2544 2371 712 1704 2073 1928 209 1261 898 2423 2793 2540 1078 1294 814 1234 1919 797 1838 2742 1583 1170 118 2303 475 1184 1027 1901 185 1072 1240 1239 2737 925 488 2565 2178 102 2872 2824 2382 1643 2303 401 450 2022 2692 2609 1715 2126 1888 171 693 1036 2704 820 62 2391 833 416 2226 1655 2778 1161 2562 1884 2640 1634 572 146 344 1918 1785 846 2662 2785 120 1583 602 159 2328 2438 1630 2388 478 2027 1313 1520 243 2748 2599 504 300 1153 1030 2418 1644 1285 2124 2141 2959 1221 1871 679 1486 2542 1037 1792 2303 478 2412 2316 1829 1214 1666 1038 1209 1472 2598 36 2295 2260 900 1192 374 966 1 2681 2082 1245 122 2329 1703 236 1353 1566 2925 2314 150 2464 535 2842 2607 1339 1899 1834 972 1147 2381 376 1929 1408 1886 1687 1372 1633 2599 1613 991 988 2298 2313 2563 1134 687 529 386 2050 2930 1774 183 1851 1861 2609 2038 1401 1460 2596 899 2173 1914 1463 651 2613 1835 2737 2366 1136 1466 590 309 1083 1717 854 55 2068 190 584 1642 941 2876 1647 1767 1383 2649 2916 2391 449 82 1432 2435 1109 1605 2683 1774 1841 2876 2887 278 130 2467 99 505 763 1951 1974 988 1795 2695 937 2960 1079 774 2515 707 2739 2162 965 724 777 1325 2645 2045 213 783 2669 1934 936 259 1577 814 1450 2471 1202 1538 286 1041 1475 896 1922 1749 1473 966 728 857 2172 2674 2569 2796 1590 2693 2065 1489 2883 2315 1230 2047 1151 117 2402 2578 2092 970 2466 1872 1925 350 2642 2933 1289 2802 1465 1241 1401 1890 2536 13 142 1775 2770 2967 251 1757 2444 1590 1701 2288 924 2533 664 230 1250 2548 359 994 71 1397 1587 2766 1338 2162 2420 2855 2950 661 2466 1998 2870 821 1053 629 8 1414 2626 628 2439 2551 1382 2913 197 1494 133 2028 688 382 2155 2609 2003 2348 1629 2382 497 1530 314 1647 243 532 838 2219 328 1440 712 467 2165 561 233 493 2439 759 2072 2552 2170 2007 1381 2251 1161 1396 2745 763 1529 1984 1751 542 1804 2080 584 1501 2677 479 1048 478 2744 1298 1272 2033 214 716 862 2457 207 275 2415 2531 1211 2844 2518 2563 1696 2404 2232 2661 2861 2228 112 260 1348 2122 865 663 1202 1861 439 2656 2327 1424 1842 2515 1204 840 1613 1185 1221 1996 613 511 2057 2518 2724 2969 2497 1524 99 1 2831 1215 1245 1236 1118 1910 2057 1054 2887 187 605 1626 2681 1522 1573 2362 2022 568 434 351 2285 904 2842 2442 2798 2090 2482 2390 1743 699 1266 49 1900 2683 92 501 1507 1895 941 788 405 462 2687 546 2881 2231 1926 2402 2234 2689 699 1732 2751 133 1794 1027 1231 843 1273 772 2126 394 1528 998 176 861 152 1348 564 1091 522 386 258 518 1993 281 1795 29 210 1394 379 1771 925 2841 1680 169 2377 1105 126 1425 2060 2565 1164 2644 729 2341 839 627 2509 421 908 811 1521 1376 400 2240 2304 1215 911 2940 2600 1261 1262 2520 884 2609 2357 938 2771 1249 2685 664 907 1123 2805 588 2237 180 1759 2091 1761 2171 2752 2687 1643 1239 1213 1939 2603 1922 946 1472 357 1907 1787 2747 1139 1836 2930 216 199 1965 1033 819 2044 1721 1329 984 2095 92 1317 532 601 2423 2786 1326 2831 488 777 260 1914 327 618 1702 1161 202 2263 1362 2945 856 1768 1980 1562 2380 2650 2556 1961 238 137 2697 2693 2925 1337 711 1086 2086 977 2268 916 1819 876 1773 869 2248 2315 2840 1738 1551 241 2360 1900 520 760 1049 754 1963 2913 2329 267 944 1857 2869 2854 994 2440 1052 1434 2536 497 632 2207 1387 2506 821 530 577 337 2494 2127 2772 2817 849 292 2858 1549 1008 2537 1258 1996 1627 1203 214 787 1598 2160 149 1180 780 1424 745 1662 2237 1098 2816 1970 258 760 1160 561 274 2652 2856 2383 794 289 1206 993 2771 568 1882 1369 2146 4 993 1405 2783 209 1503 2124 460 27 956 138 1973 2540 1 2755 559 1089 2961 809 157 1371 2664 1940 412 943 232 2957 2062 1901 985 1725 2663 2779 1336 1656 2626 2170 1163 502 2851 2606 469 1094 300 2611 2320 2500 0 1039 1377 645 802 1790 2512 1179 1992 1189 2333 2168 271 665 2944 2139 813 1675 1200 2508 220 2582 1328 2832 84 2388 98 717 94 2265 1789 940 1052 1460 875 615 1698 919 170 2249 1470 92 2907 2560 2407 1534 92 924 2711 2134 1882 2618 2498 176 2150 2137 1032 4 2638 941 956 1986 2539 2222 1802 162 1019 2847 920 1005 1814 1118 2744 1075 2941 985 2924 1969 284 2689 736 196 1713 2529 2729 837 2682 2109 1430 1909 2624 1707 2190 12 487 1806 2712 2455 1418 2284 1216 2658 2502 2816 1115 209 12 630 864 143 1956 869 925 1109 2068 620 2542 127 764 752 1088 804 2526 1604 1213 2131 1978 91 1374 232 2314 1718 1422 1135 1718 1866 2208 272 2378 1218 2689 1080 1228 741 114 2232 2401 2639 2335 213 2402 1718 813 2316 1485 985 1869 1535 929 1436 2550 2869 117 1424 1267 2028 2198 986 968 2020 409 51 1657 2556 361 2151 2810 880 2871 2133 2431 1336 14 310 1356 2614 2725 2874 94 2922 398 1223 1564 881 1009 629 953 2540 2315 457 1622 1453 1841 31 414 492 318 1821 2954 1418 1118 2850 2484 1296 969 1768 2505 357 2091 445 2789 2938 1054 1187 2687 1647 5 2386 2474 2080 1903 998 1298 752 1562 196 495 898 2638 555 1280 441 513 811 2751 2283 2515 1895 1329 2453 816 1106 725 2496 2404 367 1938 318 1962 701 1080 558 888 1375 2905 1485 1570 1249 2221 2531 932 1575 1058 2681 1204 216 68 2002 2632 1529 1882 2092 2597 2664 530 349 444 2528 1615 765 2670 634 708 1446 322 2953 915 213 982 39 1421 676 654 5 1144 2134 2940 897 159 1388 218 1044 1495 1238 459 126 969 2948 1083 1023 1666 1596 50 2395 1596 1646 424 2458 2168 31 548 2870 662 214 2162 1962 2368 1743 1786 1455 1588 813 849 2197 1825 2478 1908 1509 1376 1934 846 2594 242 310 1102 1776 2164 1433 237 1351 595 1584 297 1714 301 1112 256 2179 782 2050 2798 1906 2135 2427 2495 2050 1083 515 1600 2625 2472 2287 341 952 73 1893 2394 1879 2557 360 2944 2363 140 2271 599 2848 1004 1902 1298 1461 2705 1737 1658 1888 2171 1667 2484 1232 519 1380 2059 550 1414 417 810 245 2184 2383 1019 2741 810 233 2554 421 883 1377 1990 1909 1822 608 1835 2269 1598 22 2035 459 1370 627 1124 375 1179 2664 2436 2332 1336 2134 32 71 710 1916 1511 218 1424 1305 430 929 1361 2754 2785 1131 2509 1756 1238 1744 2857 1700 1450 351 1361 17 1710 2078 455 1231 2276 2631 1784 2053 1829 2712 1337 310 2316 2697 463 258 2325 2237 2173 2082 1667 1098 2516 809 1453 1496 85 1084 2015 361 947 1043 2682 651 1515 666 2225 550 1822 1847 1586 1384 1684 320 1276 1365 1489 712 884 981 962 2222 2225 2931 330 2160 772 2914 2467 261 369 17 2005 442 159 1943 336 672 1900 448 167 1296 2458 2210 2018 1314 1819 1864 1426 2204 1153 2724 650 2905 2670 1692 1678 187 1625 87 279 1345 655 2313 820 810 396 1179 405 2262 490 1580 2333 969 2375 1397 557 1560 1515 223 1011 2345 605 967 2959 1683 2804 7 2239 1540 2897 2473 285 2294 2341 2797 660 2290 856 1835 1364 1640 755 772 2672 582 2716 749\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 148,
        "task_id": 559,
        "test_case_id": 37,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "1667\n1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 0 0 1 1 0 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 0 1 1 1 1 0 1 1 1 0 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 0 1 1 1 1 1 0 0 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 0 0 0 1 1 0 1 1 0 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 0 1 1 1 1 1 0 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 1 1 1 1 1 1 1 1 1 0 0 1 1 0 0 1 1 1 0 1 1 0 1 0 0 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 0 1 1 1 1 0 0 1 0 0 1 1 1 1 1 0 0 1 0 1 1 1 1 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 0 0 0 1 0 1 1 1 1 0 1 1 0 1 1 1 0 0 1 1 0 1 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 0 0 1 1 0 1 0 1 1 1 0 1 0 0 0 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 0 0 1 1 1 0 1 1 0 0 1 0 1 1 1 1 1 0 1 0 1 0 1 1 0 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 1 1 0 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 0 1 1 0 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 0 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 0 1 1 0 0 0 0 1 0 1 1 1 0 0 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 0 0 1 0 1 1 1 0 1 1 1 1 0 1 1 1 1 0 1 0 1 1 0 0 1 1 1 0 1 1 1 1 0 1 1 1 0 0 1 1 0 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 0 1 1 1 0 1 1 0 0 1 0 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 0 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 1 1 1 0 1 1 0 1 1 0 1 1 1 0 1 0 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0 0 0 1 0 1 1 0 1 1 0 1 1 1 0 0 1 1 1 1 0 0 0 1 1 0 0 1 1 1 0 1 1 1 1 1 0 1 1 1 0 0 1 1 0 0 1 1 1 1 0 0 1 1 1 1 1 1 1 0 0 1 1 0 1 0 1 1 1 1 1 1 1 1 0 1 1 0 0 1 1 1 1 1 1 0 0 0 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 0 0 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 0 0 1 0 0 1 1 1 0 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 0 1 1 0 1 1 1 1 1 0 0 1 1 1 1 0 1 1 0 0 1 1 1 1 0 1 1 1 1 1 1 1 0 0 1 1 0 1 1 0 0 0 1 0 0 0 0 0 1 0 1 1 1 1 0 1 0 1 0 1 0 0 1 1 1 1 0 1 0 0 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 0 0 1 1 0 0 1 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 0 1 1 1 0 1 1 1 0 0 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 0 1 0 1 1 0 0 1 1 0 1 0 1 0 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 0 1 0 1 0 1 0 1 1 1 0 1 1 0 1 1 0 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 0 1 0 1 0 0 1 1 1 1 0 1 0 0 1 1 1 1 0 1 1 1 0 1 1 0 0 1 1 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 0 1 0 1 0 1 0 1 1 1 1 0 1 0 0 1 1 1 0 0 0 1 1 1 1 0 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 0 1 1 0 1 1 1 1 1 1 0 1 1 1 1 0 1 1 0 1 1 1 0 1 1 1 0 0 1 1 0 1 1 1 0 1 0 0 0 1 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 0 0 1 1 1 1 1 1 0 1 1 0 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "1 1563 15 180 1433 219 651 1380 1213 472 92 514 523 1181 1230 469 947 808 388 204 741 1492 1555 693 1162 996 690 203 1224 179 1459 1383 1610 754 1020 1051 799 666 144 615 871 524 1120 291 1283 708 814 492 1636 916 1000 81 1206 1080 1461 1329 1355 928 70 1269 348 486 1484 418 443 1132 459 284 1046 276 1442 506 1276 784 1295 579 1449 46 1048 300 58 951 1412 865 725 1069 370 1460 1032 725 1144 1242 979 435 1305 496 595 1441 158 338 1027 1272 1378 1543 560 1257 466 812 765 998 1038 74 748 617 324 1041 1556 912 752 946 253 1592 398 823 1513 401 1629 1495 812 1565 1402 1214 696 193 238 225 1290 352 860 898 324 1507 382 686 905 678 41 86 1407 1442 183 578 857 774 1151 1592 1589 185 1355 151 874 1056 149 760 1350 1638 383 1579 673 468 842 1302 258 550 1318 810 1652 1095 518 486 226 640 579 64 804 1447 755 950 1337 679 1168 922 405 1523 655 1488 1521 319 788 431 229 1366 738 665 757 722 814 936 349 1422 588 367 177 1322 89 1034 35 1395 1129 686 1581 960 649 426 1503 1182 1355 846 56 920 17 41 107 861 1386 1307 587 1402 1621 206 317 713 233 472 1429 272 84 1366 30 1449 244 748 1299 1554 596 838 1504 1238 553 873 1162 644 544 75 263 386 175 56 1284 69 1628 1172 1514 732 681 1403 905 1037 1324 1171 928 1422 580 74 458 625 1474 696 1011 497 1217 285 469 811 1214 977 841 1463 1213 1359 996 127 197 1140 137 217 945 1337 1377 219 51 667 1134 1224 1056 475 1339 138 503 265 249 1289 630 604 600 1587 592 633 422 787 685 1150 70 1243 1603 687 1619 269 1546 377 1529 131 1517 795 186 594 323 52 1330 1241 646 204 420 952 1327 1575 1619 993 956 28 1524 88 1562 1302 1448 509 374 1019 1209 1313 783 1463 1353 541 1556 878 313 522 948 1262 1067 1280 165 813 164 1654 658 342 673 739 122 687 702 748 1658 75 73 1266 156 756 867 1082 842 1320 485 81 742 1034 54 1463 577 1262 308 1501 1559 865 57 254 106 253 402 294 1274 1334 1124 1574 1387 134 1064 1587 396 1242 271 1185 1500 106 1568 1620 1516 956 1614 959 224 1306 1387 1031 1141 144 501 1247 604 368 960 198 1570 246 667 1084 1570 1110 143 147 1067 399 44 73 409 1218 147 1313 1600 1658 903 443 411 147 1172 35 29 786 1023 78 539 1416 1605 618 750 1076 441 1083 33 1347 1077 1494 235 1665 935 446 52 1649 231 1449 960 1230 1304 786 1136 1177 1139 1534 1098 1129 1236 583 1070 1268 261 1417 35 1167 1361 1259 708 619 582 184 161 1556 1496 465 775 1012 719 747 1638 810 1057 954 1597 129 331 471 766 300 1338 1315 1068 632 533 1051 415 1427 458 1152 23 1392 1137 643 874 511 70 362 1033 1237 1658 175 1567 1512 669 648 1382 735 686 368 389 1628 910 678 313 1420 760 1618 23 623 1024 127 1532 948 1578 235 1291 468 445 1045 815 417 567 701 1253 197 189 449 1398 388 979 341 175 142 989 1325 866 1431 1217 1442 385 1438 1626 908 1646 1164 1660 675 1530 547 1268 1346 558 1041 162 876 1167 1491 255 988 553 182 1261 723 1496 176 1412 700 731 1301 457 129 240 959 27 153 1546 1580 1173 1037 1397 1175 1004 832 372 32 17 463 915 636 1148 336 27 800 45 410 1372 513 474 906 1355 844 1438 93 1503 179 646 1610 1024 327 842 1459 1252 52 338 673 520 1061 1572 1192 160 882 1007 1329 1003 1345 791 69 538 1099 1266 1117 1144 373 1089 1333 635 1003 67 1124 1189 467 1300 816 820 107 813 1661 1464 554 481 1504 729 1159 1323 174 607 675 1571 832 1091 781 317 387 999 40 944 1553 529 69 11 1126 1578 309 188 177 57 44 290 1183 1157 1602 641 1058 411 1383 1575 1479 1439 1185 1103 1178 1266 1576 644 1432 422 612 1519 528 178 1394 252 1232 882 1397 1582 951 1235 826 1006 755 1504 1021 1376 55 1395 1127 728 887 153 1093 1578 554 760 1538 44 196 530 526 191 343 919 910 782 467 157 338 897 1449 122 188 918 1286 1330 53 525 307 1444 532 513 131 1337 196 1079 6 165 1124 661 4 250 1280 1256 398 97 1163 1624 166 910 586 1461 1453 344 1514 717 540 1184 263 396 433 578 1154 141 1436 1306 382 1125 131 1327 1401 95 1626 746 329 89 1303 515 1006 1007 1437 140 995 144 1323 305 1073 139 1563 1595 660 99 1288 1026 204 1204 243 328 1598 821 1287 257 1585 1398 429 1601 894 1248 1081 998 50 706 361 281 814 838 1258 608 1200 390 892 1550 1381 1603 111 1594 1577 761 1101 959 220 1071 970 997 865 1489 201 180 639 1499 612 339 999 324 1078 1004 3 167 1290 765 168 1436 269 437 1243 1026 651 1620 798 735 1492 498 1494 903 193 1412 1106 1632 593 1498 892 814 697 1593 740 1243 1656 1122 1601 1306 62 990 1229 1660 586 635 307 1214 1006 1401 485 841 970 812 957 1163 280 441 1397 1568 146 80 1434 1613 39 1041 15 134 633 1131 332 1196 391 1313 1302 995 715 101 1635 1632 351 245 119 1544 445 1297 188 1397 178 732 1311 1555 772 1149 80 1188 258 1567 390 360 451 1319 1154 1135 1505 987 1383 224 939 1231 21 1284 208 36 1215 629 1153 835 418 1469 303 37 731 85 1323 328 1184 580 262 1616 123 18 1639 1222 112 728 1396 335 1359 7 451 870 426 220 806 673 1016 1479 1613 370 1253 1568 443 557 1632 600 1227 655 505 897 240 184 1049 460 1224 1267 330 1569 917 894 429 1492 17 1526 807 583 1570 465 1396 442 241 1054 1292 261 905 1572 725 793 999 1456 1076 1240 109 249 828 1502 1626 314 1662 1292 1069 1373 660 884 805 1460 1098 1132 1172 780 1398 341 387 508 135 1414 680 1645 466 377 955 452 413 1030 1461 704 915 1664 678 944 791 639 772 741 18 530 869 796 786 1628 180 1541 974 393 72 1441 1416 1480 1094 1269 1604 817 1584 1065 619 3 335 158 502 736 1077 1536 1128 1570 1152 1289 207 422 1081 1449 918 1017 1143 1094 923 1052 1224 1525 612 697 827 1464 1093 410 1609 403 235 1165 369 685 793 731 623 717 23 805 720 1516 1305 1 431 790 1184 468 1467 484 136 1577 391 918 1060 679 119 372 1148 1532 364 173 1526 691 685 1584 558 163 921 709 1654 747 1485 1169 1014 1435 39 626 1099 297 107 1284 337 257 991 1173 1464 734 1400 1389 96 938 322 235 1075 1438 1077 118 405 200 1283 933 348 785 746 1095 533 1489 156 214 1379 681 1082 766 287 72 1390 56 1650 1520 882 87 1179 198 721 1414 6 322 1662 73 302 929 219 597 846 503 945 800 332 742 29 1611 329 746 163 561 356 901 1571 16 939 1413 727 237 1080 1319 358 758 1147 403 584 560 104 1236 1382 831 1570 1449 1629 1282 1047 930 1196 1601 1387 967 661 1482 1317 260 518 363 463 822 723 507 584 231 928 1660 1249 707 1363 1545 1634 815 371 1255 1524 712 104 937 1115 640 831 642 836 232 1158 1602 679 1101 867 124 722 550 1664 1336 1377 1452 522 316 854 707 152 1176 192 1101 1007 88 244 128 1076 1043 707 1546 1664 115 215 131 1496 1211 881 802 921 1191 1058 1422 505 772 20 1468 744 1595 1295 1208 720 471 466 577 1549 1203 71 1101 258 422 874 1439 167 1585 77 299 193 579 1542 21 1176 468 1044 841 429 1446 188 516 961 851 1647 264 507 802 1343 654 1025 1186 1453 1332 1168 1436 50 281 926 359 669 1309 333 1022 709 237 1239 376 877 551 745 1109 15 1125 795 300 1089 1378 920 432 1642 95 217 1282 309 907 343 727 1051 1509 27 190 478 1577 1558 683 201 1181 1420 94 390 249 800 1588 930 350 446 1387 894 1447 777 1274 849 509 597 1479 449 716 1516 1395 1643 940 113 1492 1007 999 1024 1267 730 24 380 1572 941 63 119 668 510 121 949 1077 1615 1215 868 72 1057 187 674 222 1360 172 300 1188 924 58 1589 435 600 842 50 921 496 1091 1217 505 65 85 1064 1470 862 216 351 896 1209 456 1592 648 556 427 1262 0 829 1071 432 159 1517 433 84 1525 1076 879 790 852 91 1452 1311 1043 1402 351 1141 933 1482 242 1644 1583 1079 815 1010 44 69 1379 936 124 415 367 22 506 1052 1391 1615 535 513 323 1606 1603 491 107 86 437 1500 1307 1343 1107 1284 926 1047 408\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 149,
        "task_id": 559,
        "test_case_id": 38,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2251\n0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
        "output": "0 2026 289 71 2174 1528 535 1676 710 852 1541 991 2051 1351 1782 1331 1101 1160 284 382 1723 1901 1046 1014 1800 340 2215 568 851 363 1952 2204 1587 1503 575 1742 816 869 693 1381 1447 1526 883 164 1510 244 216 107 1866 578 173 501 914 575 432 287 1988 1761 1397 1352 1312 2234 624 883 1001 772 510 855 1630 600 1394 147 1637 749 2155 2042 811 520 685 693 1723 1301 301 70 1555 887 75 2247 914 991 315 122 528 918 484 1896 1434 1739 404 1518 1663 430 1831 1610 1512 2211 875 934 602 2212 1290 458 939 890 846 1917 478 696 798 1468 2029 881 1974 1106 1885 1520 283 1963 845 570 554 1866 233 1070 1776 440 1062 1892 519 1951 291 121 741 838 741 144 662 1101 1840 1846 1750 170 136 2057 1506 2092 359 1286 560 1849 1164 2120 436 1247 816 1699 2022 1666 824 813 421 641 2030 1009 1291 1004 981 325 441 1473 147 2169 512 2067 1320 476 1032 1444 8 1800 272 355 114 1213 1230 2228 1420 1939 907 1856 1693 535 1304 1210 2165 2168 513 2150 1051 1294 1105 910 2212 1471 725 273 1779 298 555 193 110 1568 168 1136 374 1403 271 339 1538 1001 71 2214 619 117 2066 775 1946 1438 257 1893 133 555 313 137 1129 538 1706 1186 2101 1901 662 300 1805 186 1097 1499 1661 1056 1626 1978 1709 693 938 1496 641 356 717 1331 1649 1681 1284 1096 2208 2020 1499 1361 1100 885 1655 784 1050 1220 598 351 937 1481 465 1035 1313 9 1271 2199 263 647 2160 331 176 2234 263 1727 306 1376 842 2216 576 1726 1015 2217 55 2056 845 602 1943 2245 1291 410 919 89 601 969 243 1489 1346 128 147 1826 253 158 1323 293 139 663 1135 1791 282 786 654 959 768 1048 2247 1938 1260 1803 298 1961 1621 117 478 1749 1822 1192 1325 1015 145 35 695 1908 1218 1522 1991 368 373 1932 1328 180 1895 946 2029 1612 245 1569 1489 1768 1472 119 383 76 1479 937 1285 1182 1629 192 2163 2086 89 560 480 2150 940 1842 1918 1076 5 2147 988 1689 461 1792 1111 552 462 629 1181 305 1981 720 1587 167 1630 1590 51 2245 907 304 161 1458 1600 669 1022 606 1773 825 271 307 291 557 1591 1576 314 678 996 123 1066 663 1484 115 558 791 80 1699 2084 1757 472 2189 633 1680 1619 1708 2193 703 1542 195 501 1670 1776 490 1771 1986 881 189 442 1716 2078 467 1932 320 1707 652 273 1935 487 2120 2002 1532 2182 1602 1381 726 636 118 2 492 516 2165 938 1090 1858 1699 1772 951 952 1855 2067 1007 81 390 885 1628 1502 794 1526 1526 400 454 2167 1573 2034 249 727 1191 51 2032 665 39 1836 1850 206 1847 843 1177 1296 2171 748 1703 1654 427 931 689 639 220 236 942 978 1758 606 319 1057 484 1855 1783 1822 1088 1281 1453 1663 1900 1872 595 828 40 1771 1210 632 143 496 1632 847 2168 906 689 1043 1149 1010 995 1412 81 2239 961 421 677 1805 1188 1691 307 1555 154 1569 1433 1255 1686 1475 629 1211 178 1059 30 2112 401 11 2241 56 2058 2007 882 252 328 1177 1214 516 660 1989 617 431 1851 3 131 1028 969 1760 2209 731 1285 584 2017 1886 439 466 884 866 2056 731 624 1238 529 1589 1047 735 580 1919 541 542 462 1863 283 1951 289 1245 1916 1165 1574 868 1265 2062 803 1535 959 1417 1380 1982 1139 1838 1305 1351 101 278 2086 50 84 2005 770 1893 1415 433 1888 24 908 1298 361 1323 309 756 1734 906 1587 2104 1423 239 55 998 617 948 1546 1260 2193 2093 308 749 98 298 1267 2004 648 559 741 220 2005 944 1138 66 1421 285 346 567 1774 1786 444 1965 1847 1660 276 1125 1481 1665 1083 1173 1376 570 1248 2149 53 891 861 680 1402 681 1093 93 473 1755 1929 95 1991 1600 2114 1269 302 735 2068 1467 1397 392 17 653 1955 635 1446 1917 15 941 1434 2174 2176 1436 1661 279 1011 1983 1539 1598 1945 1278 19 2056 1220 1859 582 1631 1762 291 347 1367 1657 584 546 708 1113 516 2201 1139 348 1999 1755 766 1838 2236 1517 1796 1318 79 688 96 115 755 1215 923 151 870 1475 2151 2167 1074 433 238 784 1270 148 459 424 668 185 1705 940 1816 884 319 1526 498 1437 1712 2037 454 798 1988 142 1225 946 1357 1996 1629 335 530 491 814 883 583 1827 66 488 2070 1962 1619 882 181 1835 130 873 1286 1152 464 1147 1942 1690 1611 1799 1464 413 230 818 1893 1716 1302 1208 1145 905 898 1527 1692 589 1078 2221 2193 497 717 1129 2178 1519 1631 650 859 1246 1250 286 363 450 1933 1297 1365 1618 1487 1308 2080 697 1557 253 262 1421 2089 2161 899 491 1132 754 1559 884 1252 930 2 307 111 2037 1687 1213 230 2224 1001 1312 810 1981 1833 1838 1777 2250 1778 1722 353 412 737 231 688 126 1505 1465 2075 145 1877 566 1667 446 1577 1602 281 387 244 603 1704 1065 227 1692 2171 1284 703 465 692 546 602 293 1811 1192 1119 1645 292 273 1083 2226 809 911 1798 907 822 2038 670 1607 426 2080 1356 57 2072 1141 1986 124 1279 221 1300 779 1310 1680 546 746 1921 1289 2130 401 1662 274 1988 2151 1214 616 1772 104 557 1964 56 327 2007 1757 935 1318 2249 802 1390 630 940 1094 828 1069 1607 1 2148 1312 1034 1801 245 124 637 1990 8 1319 3 833 1405 137 1539 2202 384 1344 1320 1630 1496 1982 1291 210 74 994 553 350 1337 702 1831 74 1906 507 1353 1556 1369 2243 1044 1524 460 934 1842 297 1328 923 680 417 1331 770 2020 1385 1476 1160 1322 552 84 31 1602 1036 631 1633 1631 905 1256 1816 1474 598 107 1723 259 114 1459 607 2041 338 1229 497 628 1109 1259 1295 695 1878 1260 382 1837 858 429 45 1954 1065 1702 1198 587 2248 87 234 919 1206 14 335 151 681 582 13 31 435 261 2228 430 98 1751 249 443 789 89 709 1369 466 636 2224 801 679 1730 1707 1148 2244 1498 2082 624 1134 462 2049 1976 1180 2169 1217 1427 452 1630 1038 892 1825 1390 144 1545 616 1067 93 853 350 1714 336 1699 1248 1286 1366 1775 1928 474 1190 1910 1813 279 642 1929 895 1026 550 672 520 233 827 1600 1407 42 1228 1729 891 1242 1169 111 749 710 27 1626 491 1442 1493 1740 1863 1233 1783 1050 1917 1049 1899 618 1920 380 1244 885 120 605 2155 83 2020 1206 446 766 1624 451 2192 126 2181 721 316 92 329 692 262 1817 1820 1524 746 1209 1498 462 1273 503 1896 1637 1824 1389 1284 2228 1176 1251 540 192 1762 1815 2075 1318 107 1198 2121 390 1786 1654 1766 2180 1964 900 1017 1120 104 349 1414 1001 1386 1148 1621 2228 1797 332 1628 364 561 1368 1910 522 415 527 654 1078 1229 1550 602 1994 1006 2232 1722 235 166 1762 687 417 710 1098 1729 1754 1138 58 88 1769 1840 1705 115 278 1050 322 557 999 1006 35 5 485 509 1807 1363 124 239 388 1428 992 1828 530 1286 1668 533 1253 157 103 1401 2133 1365 1657 951 1304 18 247 1494 2065 2093 1383 1229 1204 608 1455 1784 1777 1548 1896 1935 420 932 1065 1194 1775 1628 1890 2156 1070 327 1896 526 1049 737 1277 382 235 771 949 1780 415 357 913 771 2108 1017 1156 801 1297 68 1657 1518 875 1986 812 15 398 1148 1695 1269 1880 362 1780 1878 916 1366 178 1897 1794 1631 1451 1514 1480 929 1658 582 1691 1482 1625 752 1815 1353 1463 1011 1135 2196 1435 1181 401 623 539 161 1777 724 295 1294 39 1956 1052 2186 1797 1839 863 911 100 1501 682 2148 1319 1082 1087 580 417 2147 1659 380 1183 296 1408 1028 1232 1921 467 102 1188 535 39 707 65 2062 1351 1481 1140 422 1350 1095 1101 1045 1611 146 1867 1906 2014 2125 1736 1023 384 411 675 1019 1712 1084 1182 2207 1273 2249 2237 1331 1 976 1580 630 1290 188 1888 1944 1601 1696 123 1904 1479 515 581 1328 1552 2032 153 2028 2023 2237 291 1434 689 1869 1431 1521 1585 2206 467 365 1574 1096 448 9 1174 1094 1434 864 1390 2216 1866 1724 52 1538 2 855 452 1760 1149 729 1398 1990 137 2246 272 1437 449 345 206 2098 1668 387 378 740 1638 1574 86 1984 1385 1858 1694 489 698 1019 1943 750 787 1349 388 716 1296 1694 1487 959 2199 2180 1777 1571 752 1464 1535 127 1277 901 2143 1103 995 272 774 1769 2095 2026 1939 1281 992 1587 65 371 575 1694 51 1102 1646 841 759 1906 402 1882 388 2207 701 511 1617 1230 2206 47 804 1946 1001 1047 486 1817 1356 262 862 1533 162 315 1600 620 1229 39 1614 148 1488 2084 1093 1172 464 1926 1106 419 414 2021 1810 41 1947 699 1689 1211 1786 1983 1702 1657 1716 1951 2007 859 1434 78 151 1784 276 77 542 904 687 1598 2173 1487 460 1093 1676 2098 110 864 884 1924 550 428 1845 1870 1957 1995 1945 188 430 1859 385 360 61 2060 2060 273 2042 407 131 1589 1051 1954 1654 1714 65 892 408 22 2231 614 1933 731 1226 1203 477 325 1403 1464 1504 376 1632 1163 1772 1496 394 814 1004 377 1100 1137 1779 1083 1513 2018 856 1506 1203 490 869 145 670 1497 1754 1524 1583 666 687 176 1313 1939 1031 1370 1494 2032 726 283 1774 213 1542 2127 2036 2094 427 1143 2042 256 1680 434 291 1297 1376 2086 998 312 406 1124 1221 2120 1662 475 800 545 362 451 1310 203 107 586 929 1064 1217 1631 621 629 258 1926 85 1797 180 477 579 688 1053 2011 1724 1401 1037 880 1495 488 2153 1949 401 1530 1171 266 2124 1182 252 1535 1760 739 58 1521 2167 1825 1137 1799 951 546 529 962 962 826 1399 100 664 1215 1477 1974 822 1881 2179 1921 21 1183 619 1870 2224 6 1285 1768 1147 1575 479 919 2132 1564 1428 1447 1153 2119 931 694 648 1295 1243 1007 107 792 1706 1690 771 2181 434 589 1460 1358 1721 1788 1894 614 152 1916 1896 419 1566 795 1432 370 2123 216 1940 1954 801 1768 3 652 1166 1949 792 1300 1322 1897 499 1865 727 1492 1198 392 2139 1406 1161 863 1174 1879 1826 1898 1075 1235 592 1842 57 1679 1419 1019 583 1360 625 339 1207 1989 1384 790 142 751 406 983 1198 1599 99 43 1916 1893 509 1528 717 333 759 1899 1007 1572 922 682 2126 450 525 1122 258 989 1599 280 678 705 381 1875 376 820 2040 220 694 242 1711 1171 401 118 1663 105 2112 2108 102 1279 972 1861 1070 1370 1138 1254 2027 121 1056 989 946 1797 1949 286 1251 2144 543 282 618 1836 269 1033 2123 982 1431 906 2005 764 57 1932 1603 1198 1681 477 1863 409 58 1684 224 369 314 1380 553 568 1767 36 1926 869 1562 1962 1432 727 1078 1828 385 852 1111 1866 1669 615 1361 550 2174 1959 1677 1123 359 1977 2170 862 289 2095 22 1889 1736 1461 1689 1506 722 1974 1217 2109 898 1073 1036 515 1299 1849 2198 71 1752 1797 25 1114 1116 746 690 1988 974 154 1136 37 1019 1970 1467 2125 909 1573 602 465 2205 2141 1568 1146 1025 334 680 622 1786 76 1256 1041 2017 1840 527 155 882 290 1281 996 439 1304 665 1 667 1239 999 66 1721 395 750 912 1702 840 1890 1548 575 1152 380 1795 524 1729 804 219 781 818 1067 754 391 536 928 1283 556 1823 546 412 552 1121 212 1441 1371 282 1502 1496 1592 1912 972 86 1061 525 1038 1883 2031 226 1220 1912 1483 1591 487 1979 291 867 518 530 1477 199 2214 1150 1013 639 1008 0 812 681 511 1002 577 2208 138 1775 1088 25 1236 2176 646 1740 1440 273 1189 280 1583 2020 1088 391 1238 1127 139 1845 857 1691 336 60 289 203 931 1318 1688 1636 52 1030 1409 1861 370 1890 1347 1436 1974 1153 1726 62 53 41 94 913 2090\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 150,
        "task_id": 559,
        "test_case_id": 39,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "61\n1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 0 1 1 0 1 0 1 0 1 1 1 1 1 0 0 1 0 0 1 1 0 1 1 1 1 1 1 0 1 1 0 1 1 1 0 1 0 1 1 0 1 1 1 0 1 1\n",
        "output": "1 19 33 0 3 35 28 13 53 34 8 0 4 47 9 27 6 26 5 51 30 16 2 7 55 16 8 19 56 59 1 38 11 50 21 54 14 35 39 18 23 27 53 53 45 44 16 60 47 57 55 2 33 40 30 19 30 44 58 5 17\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 151,
        "task_id": 559,
        "test_case_id": 40,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2003\n0 0 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 1 1 0 0 1 1 0 0 1 0 0 1 0 0 0 0 1 1 0 0 0 1 0 0 0 0 1 0 1 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0 1 1 0 0 0 1 1 0 1 0 0 0 1 0 0 1 1 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 1 0 1 0 1 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 1 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 1 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 1 1 1 1 0 1 1 1 1 1 0 0 1 0 1 0 1 1 1 0 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 1 1 0 1 1 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 1 1 0 1 1 0 1 0 1 1 1 1 0 1 1 0 1 0 1 1 0 0 0 0 0 1 1 1 1 0 0 1 0 1 0 1 0 1 1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 1 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 1 0 0 1 1 0 0 1 0 1 0 1 0 1 1 1 0 0 0 0 0 0 1 0 1 1 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 1 1 0 1 1 1 0 0 0 0 0 1 0 1 1 0 1 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 1 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 1 0 0 1 0 1 1 1 0 0 1 1 1 1 1 1 1 1 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 1 0 1 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 0 1 1 1 1 0 1 0 1 0 0 1 0 0 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 1 0 1 0 0 1 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 1 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 1 1 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 1 1 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 1 1 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 0 1 0 0 0 1 1 1 1 1 0 0 1 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 1 0 0 1 1 0 1 0 1 1 0 1 1 0 0 1 1 1 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 1 0 0 1 0 0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 1 0 1 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 1 1 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 1 1 1 0 0 1 0 0 0 0 1 1 1 0 1 1 0 0 0 0 0 0 1 0 0 0 1 1 0 0 1 1 1 1 1 1 0 0 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 1 0 0 0 0 0 1 1 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 1 1 1 0 1 0 1 0 0 0 0 0 0 1 1 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 1 1 0 1 1 0 0 0 0 1 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 1 1 0 0 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 1 1 0 0 0 0 0 0 1 0 0 0 1 1 0 0 1 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 1 0 1 0 1 0 0 0 0 0 0 0 1 1 0 0 1 0 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 1 0 0 0 1 1 1 0 0 0 0 1 1 1 0 0 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 1 0 1 0 0 0 0 1 0 0 1 1 1 1 1 1 1 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 1 1 0 0 0 1 0 1 1 1 0 0 1 0 0 0 1 0 1 0 0 1 0 1 0 1 0 0 1 0 0 0 1 1 0 0 1 0 1 1 1 0 1 0 1 0 0 1 0 0 0 1 0 1 0 0 1 0 0 0 0 1 1 1 0 0 0 0 0 0 1 0 0 1 1 0 1 0 1 1 0 1 1 1 0 0 0 1 1 1 0 0 1 1 0 0 1 1 1 1 1 0 0 1 1 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 0 1 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 1 0 1 1 1 1 0 0 1 0 1 1 0 0 0 1 0 0 0 0 0 0 0 1 0 1 1 1 0 1 0 0 0 0 0 1 0 0 1 0 1 0 0 1 0 1 1 1 0 0 0 0 1 1 0 0 0 0 0 1 0 1 1 1 1 1 1 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 1 0 1 0 0 1 0 1 0 0 0 0 0 1 0 0 0 1 1 0 1 1 0 1 0 0 0 0 1 0 0 1 0 1 0 0 0 0 1 1 1 1 1 0 1 0 0 0 0 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0 1 0 1 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 1 0 0 1 1 1 0 1 0 0 1 1 1 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 1 1 0 1 0 1 1 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 1 1 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0\n",
        "output": "0 366 1322 58 1630 819 584 747 1479 145 477 1559 645 1229 16 1192 62 1851 1834 1139 170 1627 1270 590 1490 1541 1841 1771 97 1413 277 1 1949 861 1508 1930 1859 1189 693 586 645 1457 218 973 1861 642 1493 301 1983 879 775 330 1991 1558 434 56 1178 1978 1637 431 905 662 1133 1052 1424 613 1891 1752 1585 255 957 952 354 612 1614 989 545 1630 900 244 612 1835 1658 116 1054 690 1242 1114 29 1201 779 606 1268 558 755 892 626 719 839 1657 544 1151 411 1777 621 49 1383 1030 79 1244 913 1353 1876 832 1214 1660 702 982 1218 1606 158 1570 104 84 1954 1856 308 1994 814 1278 1304 1352 220 1447 1715 720 793 1466 2000 250 1731 1499 1869 1264 1716 1870 548 1859 1941 1073 71 1545 1773 1485 18 698 720 199 425 1846 575 1367 539 418 1703 1825 1057 92 17 1535 640 902 1320 1499 208 1404 23 686 1759 543 1425 1175 644 1915 791 582 1220 448 1894 458 887 14 56 845 1474 717 334 439 963 1972 110 1535 1895 498 1501 848 1825 1550 1266 274 376 1814 1066 1002 1441 1350 258 171 538 902 153 57 681 203 465 1189 362 308 226 1343 1099 1518 586 92 1305 672 1048 999 1151 351 1039 1162 1536 1672 1709 767 619 507 1981 82 793 173 416 1440 1480 911 763 1226 1527 240 581 690 571 1220 1788 339 1774 177 356 715 46 1009 1777 755 1248 195 1691 1695 502 1888 676 1188 1317 1754 1809 256 322 82 907 1929 150 1716 584 835 462 46 841 184 1042 1382 60 431 839 873 620 86 1672 762 1786 1665 1893 1607 395 1795 1928 1504 1621 1330 1956 256 631 431 1456 1330 1773 1711 164 1629 197 1671 262 858 528 1717 278 711 646 1100 1555 1187 347 946 719 1710 493 121 1280 907 241 1593 1892 1569 1137 1875 1788 1248 1320 1059 1996 1335 394 333 927 1166 588 1708 856 1528 1989 85 1698 1019 683 1451 30 1117 592 489 1526 971 318 1984 1816 320 1747 1195 149 543 1000 338 1134 1867 1648 449 875 56 196 1383 426 1454 266 1863 392 1479 679 861 1820 1239 890 527 1395 1010 14 1777 1034 1969 101 123 869 694 413 1601 704 429 705 1893 672 994 0 1561 1803 1458 304 1683 363 206 1013 551 1986 1439 19 104 711 1972 1999 1859 1274 1361 1274 904 214 1794 771 1979 939 1863 1462 627 360 1769 1181 790 1515 1228 640 1100 558 301 541 1678 1737 734 1177 1404 1161 296 716 522 1564 1358 1673 1887 1949 480 1856 913 1101 487 1565 64 488 1444 420 1385 175 310 847 919 1848 804 590 527 317 1454 1214 1059 1121 185 580 1341 742 1076 271 752 156 1291 1207 684 1279 1884 606 1392 1824 1735 789 167 1130 513 1276 1956 259 406 1115 174 374 188 1065 100 809 946 1994 656 1319 1577 1814 491 1987 1632 1836 1725 1452 560 1820 1579 768 1026 1366 1728 1359 1983 282 934 1972 196 515 1994 198 1629 1734 740 924 436 1274 1683 885 895 1866 797 1713 1529 632 597 1950 1228 1191 1861 1015 1711 1933 1497 1334 640 549 950 571 1284 6 1350 759 26 1288 1236 1299 226 1110 260 718 1039 1245 1249 1799 586 788 1072 1356 217 833 1874 649 1257 1125 603 1591 89 953 1893 787 148 47 1247 178 757 1573 1793 520 1865 1945 354 1479 294 1661 86 822 1200 1604 325 1250 1612 165 1603 960 1028 1661 1999 1796 263 1155 1733 1144 1566 1054 1908 125 1198 349 1659 1290 1997 515 53 1787 1297 561 1099 1647 419 1145 540 756 261 1492 1595 976 920 1824 1629 1824 1446 1867 1702 1632 1993 1553 153 1771 1597 1202 1562 172 1872 1005 1031 1245 808 994 266 1855 1613 446 98 617 278 1614 835 1106 826 891 1356 1558 904 216 1186 989 1127 1117 201 505 407 731 3 1704 876 1435 1423 1804 56 1661 570 1900 1037 729 375 605 1450 502 1925 308 321 1633 60 1177 1161 1440 159 1709 1123 1267 1034 354 202 776 1282 600 104 1582 1322 516 1615 117 799 1673 1981 255 43 1527 1789 470 118 527 65 338 1763 335 1930 338 403 520 1746 433 1412 1620 1631 969 1913 779 1994 605 482 1824 159 1270 633 624 1863 806 403 636 575 270 1356 1157 1147 107 952 253 1371 570 1540 270 1769 1404 994 1014 751 891 1840 1118 239 1595 69 327 419 1918 1166 324 747 762 1046 1992 419 976 1112 1866 1006 1221 1725 1613 361 1863 1404 97 843 318 936 1318 1261 1899 1675 194 1087 1608 472 656 158 495 355 601 727 318 158 79 506 959 1565 1741 1776 856 241 1120 1570 627 1400 1837 1125 524 336 1197 833 1433 1051 357 1618 1728 622 456 945 794 1284 1945 1162 249 1715 865 1190 1210 1073 492 406 451 1847 397 1256 1752 1117 1852 1453 1150 1190 1240 1719 214 1575 1288 1328 1999 1129 715 312 172 203 787 73 437 1726 1043 1190 85 1649 766 29 1875 1884 228 816 1818 284 1756 950 123 761 792 187 272 1140 654 1210 1323 342 1243 1412 1453 1093 326 1397 692 1142 583 876 884 1323 1189 597 1500 1168 127 1277 1416 50 1352 1070 1071 1030 567 659 1099 962 187 612 195 678 9 355 257 5 420 100 120 1724 279 305 335 16 559 1519 1536 85 48 1707 750 1688 302 869 994 1085 136 1849 268 204 866 1014 1947 1750 1120 1168 1228 485 311 1964 871 582 1727 1960 1882 920 71 1481 1759 1140 1667 1247 1612 232 1271 477 1114 1959 1013 1126 330 1024 1585 754 462 1749 1912 1210 1946 4 1979 80 1934 657 85 1658 1960 1418 1948 14 1668 742 60 1331 954 219 430 688 1081 1083 951 336 1430 145 1510 753 588 967 243 1408 292 1682 725 1323 918 171 1683 1096 2001 1907 597 56 1234 724 1634 80 736 1112 161 531 1320 74 1579 151 1347 866 678 1388 1434 307 1516 1014 1724 1550 1141 1993 203 65 695 1033 448 955 389 1824 319 401 531 1033 618 1558 1109 1803 1464 225 260 132 1374 1774 578 1430 1808 679 1767 17 750 1680 546 516 1635 1316 253 1826 660 814 1252 65 1278 1364 1288 738 1621 1116 778 1689 1432 1475 1836 198 1461 691 1234 257 369 1888 1709 610 471 607 36 1183 955 1782 1393 496 1411 258 451 792 429 237 274 372 1068 965 1275 1094 1061 1926 1882 218 1608 534 1286 128 108 909 1387 1613 1665 1133 549 877 620 20 1451 1449 1387 402 346 496 28 1406 456 1128 478 372 1053 1371 1415 1144 1792 1301 217 903 162 905 1365 864 961 1836 48 1195 1964 1346 235 352 1669 1285 1460 1328 1518 963 616 1843 444 824 1113 1391 1811 1839 898 1614 1827 1489 579 904 1228 616 424 37 96 607 323 933 1477 375 592 1953 1763 475 1317 672 904 370 157 399 1526 1717 256 685 789 1967 1426 58 1225 1359 149 1268 388 95 82 1363 941 1443 1492 1403 567 450 295 1151 1186 68 1741 1711 621 214 923 1988 1758 616 1112 158 1736 1936 3 1203 461 1513 328 1682 1982 225 381 1707 297 306 645 20 1379 906 452 653 408 505 731 476 1354 1370 1763 1288 265 1187 1379 1229 1955 93 1955 1732 436 162 156 1744 27 756 325 130 486 1054 1166 43 1081 19 1618 1662 288 383 1871 1398 1084 396 71 4 1259 36 1552 648 1347 953 252 995 1672 1553 1308 1661 552 1127 840 1058 255 145 437 1152 1540 566 428 1261 1340 238 793 1559 1300 1711 1453 1021 848 1448 1319 1168 202 693 439 1486 1663 1620 1370 765 1342 1769 919 1063 1412 988 540 1520 1928 803 1063 1789 21 628 471 1038 1615 562 1087 1665 693 1194 1167 1670 1675 933 1528 115 1336 148 1793 1754 1522 827 813 1290 1174 479 1355 1646 1246 772 1454 1615 1425 1640 1713 911 1730 395 1288 319 1859 1990 1966 1927 2001 1019 18 1314 351 1599 1470 208 246 633 791 726 1621 559 1891 858 1303 208 6 490 1496 1313 1112 794 200 824 1488 1332 339 591 1250 1242 855 765 1354 1491 941 1256 1588 109 444 1661 1728 888 907 845 282 1851 248 161 1472 957 1524 1719 1334 75 147 1603 1345 1050 1988 112 1764 281 268 1412 1868 931 1836 135 341 1024 679 133 528 718 1513 779 1199 1359 1204 149 554 1051 775 1007 1341 940 1094 634 203 877 1071 1275 1733 1420 1347 1113 1141 193 985 1639 187 1479 512 1171 247 1351 1113 939 1713 119 905 1136 82 1225 728 1397 160 1187 410 1239 1536 428 918 363 1119 200 1824 43 1595 1103 1637 269 611 1681 669 1597 34 1019 1811 1019 1952 1493 491 137 636 624 1240 985 991 1926 943 1793 585 229 1004 1089 1254 640 1780 1206 49 37 1113 471 1787 140 1942 1709 383 890 177 1796 1894 937 1091 185 1894 243 1367 103 605 1458 231 626 892 316 1846 1733 1300 495 1708 1088 1465 1473 1822 1813 1933 1624 198 730 1313 1749 322 696 1342 1971 307 91 1582 42 428 928 128 277 1625 1266 408 1102 1605 58 999 206 1419 1968 1147 702 1359 1634 1665 433 611 57 990 123 18 370 316 35 1263 334 158 1129 1233 683 371 1711 552 622 1369 362 116 1073 193 401 1935 841 1002 584 1045 536 970 1574 565 1193 878 1579 581 1938 942 1003 1967 1890 79 761 1354 1215 127 1455 1684 1462 1057 974 944 893 1837 1237 426 264 1766 1904 1714 1187 1873 853 1653 188 1349 1122 1759 1246 1501 615 678 1019 586 451 784 15 970 1883 1997 1760 1420 1121 1902 1359 520 192 20 1223 974 1908 715 486 1987 541 1148 1619 1110 1541 507 191 989 804 1358 1316 1494 889 1446 855 1415 814 1290 882 1522 1127 1404 1519 826 759 42 488 1486 1073 1924 536 1962 359 758 69 15 1247 684 670 519 902 1858 795 683 1536 356 1750 809 1253 1778 411 720 773 23 1478 375 1026 57 1624 543 921 1139 1033 539 454 1787 566 438 317 157 631 1912 1777 990 600 1836 1731 1654 454 843 1203 864 503 1988 1884 36 218 447 512 673 167 1744 552 506 749 520 1300 112 1531 1795 1341 131 882 1700 16 942 599 1240 455 1849 1083 1816 171 1306 236 319 867 825 745 1640 635 1698 1860 727 841 1067 778 1918 189 1218 288 231 36 880 766 1555 1748 1808 74 993 1961 966 1341 1787 1687 852 1621 1087 654 544 8 1053 1929 968 1087 1781 1356 1340 324 1772 1272 646 1132 1382 1758 848 1125 345 337 699 1911 1515 1650 528 1347 1080 1838 1278 22 1573 926 1077 1860 1099 303 1359\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 152,
        "task_id": 559,
        "test_case_id": 41,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "241\n1 1 1 0 1 0 1 0 0 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 0 1 1 0 1 1 0 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 0 1 1 1 1 1 0 1 1 1 0 1 1 0 1 1 1 1 1 0 1 0 1 0 0 1 1 1 0 0 1 1 1 1 0 1 1 0 0 1 1 0 0 1 1 1 1 0 0 1 1 1 1 1 0 1 1 1 0 0 1 0 0 1 0 0 1 1 0 1 0 0 1 0 0 1 0 1 1 1 0 1 1 1 1 1 1 0 1 0 1 0 0 1 0 0 1 1 0 0 1 1 1 1 1 1 1 1 0 1 1 0 1 1 0 0 1 0 0 1 1 1 0 0 1 0 0 0 1 1 1 0 1 0 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 0 1 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 1 0 0 1 0 1 1\n",
        "output": "1 117 14 72 26 114 74 73 183 208 117 121 52 4 214 68 19 8 52 119 161 184 214 96 195 165 208 132 153 199 137 73 135 17 7 139 215 33 41 44 191 166 176 187 124 237 33 151 194 21 204 73 84 6 33 41 79 148 23 56 17 41 150 121 105 166 103 201 50 128 141 23 60 113 194 212 218 99 197 200 73 107 96 67 83 33 1 27 168 107 19 206 63 36 225 203 176 141 76 156 5 189 53 178 129 111 210 108 172 46 134 118 233 203 107 35 72 23 41 186 10 196 187 107 184 15 134 166 160 142 87 40 114 143 133 104 51 14 88 13 201 181 72 179 153 61 145 191 173 195 138 72 128 156 105 61 200 54 93 178 159 197 108 91 198 65 42 117 41 226 10 165 237 204 145 222 112 91 152 53 228 103 165 130 126 50 141 93 210 93 140 140 170 83 103 90 142 67 171 198 43 207 238 105 105 127 98 190 122 207 196 94 113 26 100 217 186 44 97 29 123 225 135 232 72 61 125 63 230 74 123 203 112 82 2 54 84 189 222 147 90\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 153,
        "task_id": 559,
        "test_case_id": 42,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "1109\n0 1 1 1 1 0 0 0 0 0 0 1 0 1 1 0 1 0 0 1 0 0 0 0 1 1 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 1 1 1 0 0 0 1 0 0 0 0 1 0 1 0 1 0 0 0 0 1 0 0 0 1 0 1 1 1 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 1 1 1 1 0 1 1 0 0 0 0 0 1 1 0 1 0 1 0 0 0 1 0 0 1 0 0 0 0 1 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 1 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 1 0 0 1 0 0 0 1 0 1 0 0 1 1 1 0 1 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1 0 1 1 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 1 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 1 0 0 1 0 1 1 0 0 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 1 1 0 0 1 1 1 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 1 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0 1 1 0 1 0 1 0 0 1 0 1 0 0 0 1 1 1 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 1 0 0 1 0 1 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 1 0 0 1 1 0 0 0 0 0 0 1 0 0 1 1 0 0 1 1 1 1 0 0 0 1 0 0 1 1 0 0 1 0 0 0 1 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 1 1 0 1 0 0 0 0 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 0 1 0 1 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 1 0 0 1 0 0 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 0 1 1 0 1 1 1 0 0 0 1 1 1 0 1 0 0 1 0 0 1 0 0 0 1 1 0 0 0 1 0 1 1 1 0 0 1 0 1 1 0 0 0 0 0 1 0 0 1 0 1 1 0 1 0 0 0 0 1 0 1 0 0 1 0 0 0 0 1 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 1 1 0\n",
        "output": "0 429 532 710 77 16 402 285 286 374 665 696 812 229 605 652 983 112 198 139 740 836 437 1010 1079 341 939 263 319 594 719 537 101 923 808 538 1047 482 163 844 1033 104 569 983 761 648 215 883 96 941 862 862 788 836 558 991 579 383 586 15 85 260 912 316 315 462 646 675 535 474 459 453 503 1046 860 530 697 627 533 943 803 696 390 431 36 435 322 70 928 391 536 412 1091 1050 688 33 634 222 893 448 316 1103 874 628 830 1033 663 522 470 180 356 987 416 399 427 141 615 895 899 576 622 359 374 537 777 788 475 838 832 71 221 225 354 1084 617 992 958 1023 844 993 1088 233 329 423 128 491 86 955 633 539 484 544 1079 15 740 926 1097 974 87 586 170 482 686 206 960 1102 868 896 374 575 90 619 592 529 935 422 57 1078 952 5 875 287 160 857 299 419 442 419 932 495 984 642 194 750 877 442 1001 873 882 71 94 277 332 37 457 699 995 1054 833 1042 104 1045 535 678 309 62 992 203 434 475 153 1049 995 3 741 617 672 377 756 350 954 146 932 414 645 91 593 219 1014 1011 782 698 356 1005 996 338 922 519 996 142 961 826 637 668 70 432 330 599 920 624 861 1093 864 970 541 689 739 1016 795 237 134 338 621 112 43 345 147 1089 969 970 817 541 394 378 207 818 649 653 342 194 892 95 1085 479 841 871 406 158 1027 225 272 877 438 636 258 549 1062 592 613 423 193 974 832 366 321 366 755 878 151 621 534 995 196 322 562 150 639 1062 573 637 349 1101 831 352 545 283 523 1041 676 28 629 119 1081 827 1021 682 476 6 946 503 65 622 598 494 245 193 639 997 479 499 547 918 964 608 606 582 72 470 894 600 893 24 421 460 293 756 647 181 1033 750 157 941 703 859 780 770 681 813 870 962 591 559 456 886 795 218 1104 228 1026 18 921 469 280 534 130 273 932 1042 29 1021 1000 126 878 385 760 264 75 145 370 1064 94 824 480 807 624 1036 682 1017 136 947 71 26 508 125 1082 719 716 674 926 671 542 38 940 156 117 75 155 667 86 83 45 888 819 897 58 944 934 199 423 718 816 884 686 806 35 216 626 1060 560 651 468 784 428 346 1057 897 418 1031 141 1031 330 619 412 1071 295 834 184 32 803 830 726 541 64 719 440 212 498 772 888 385 322 1096 419 736 471 430 606 428 624 958 346 88 192 173 827 277 1097 530 968 503 90 337 545 333 785 868 747 1082 753 88 1094 395 910 1009 305 984 606 529 747 26 433 358 628 658 979 420 224 352 192 415 945 1023 35 427 9 495 555 867 658 224 82 907 609 875 670 28 113 1081 168 454 332 596 1031 226 186 891 1078 963 420 393 733 747 857 375 515 514 1097 681 912 475 666 619 583 482 876 53 2 671 294 149 477 589 287 32 908 1106 883 721 947 614 470 162 851 367 507 134 304 136 305 1092 473 111 785 584 789 807 639 367 595 539 428 463 696 492 771 1076 728 383 298 798 452 1044 504 4 242 1050 188 513 451 984 1039 908 174 115 382 346 678 553 318 262 865 245 860 651 826 306 675 533 593 577 33 813 492 415 39 672 825 401 455 911 429 286 981 262 156 319 277 208 97 867 922 942 257 21 418 2 366 416 461 857 38 518 282 1022 114 105 804 42 1071 733 866 257 770 608 527 259 499 477 253 322 942 83 524 936 913 734 4 952 702 707 1045 874 1099 81 401 477 521 841 107 853 425 671 140 342 279 760 732 416 846 908 1087 1025 828 578 1050 902 100 743 201 1108 256 571 889 540 534 995 669 720 941 629 152 656 972 364 1104 54 258 889 724 574 471 251 360 764 50 1048 147 845 267 380 1045 247 1049 341 929 470 35 398 231 447 740 752 410 708 253 150 662 368 449 487 493 221 7 381 64 799 662 1041 96 318 1067 543 1041 101 6 59 548 1072 797 861 183 30 572 685 601 444 581 1062 838 510 636 793 437 234 56 384 26 281 587 995 966 1107 332 922 271 217 768 354 360 1082 511 213 690 212 866 52 689 1093 248 993 895 1102 381 186 124 923 362 985 215 971 418 690 281 677 1024 755 1025 935 82 856 336 499 366 778 492 320 409 1021 827 620 356 633 555 352 47 621 964 842 674 704 631 538 44 819 295 899 876 485 746 826 217 138 845 358 582 194 878 358 321 547 760 786 630 917 452 30 970 8 70 1096 474 1002 231 398 104 108 836 442 626 494 658 1046 890 111 228 826 36 72 1073 329 731 570 401 619 610 856 371 27 360 860 765 3 1008 1074 343 479 768 534 503 361 35 686 572 222 958 375 721 1026 545 592 532 785 975 586 346 963 1009 179 626 329 656 687 581 888 837 902 1099 452 846 635 131 40 423 718 662 381 292 488 225 139 501 376 1056 308 107 654 955 347 665 952 1029 252 58 409 683 1087 937 641 124 314 1036 968 942 935 672 301 842 812 525 884 57 208 478 788 1043 894 72 1080 957 568 193 491 116 898 1011 632 257 118 569 455 31 880 3 270 904 599 479 1082 574 272 354 815 574 202 875 1007 926 832 326 566 57 916 444 438 90 473 912 890 1041 736 598 912 227 47 267 421 447 568 782\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 154,
        "task_id": 559,
        "test_case_id": 43,
        "question": "Given are a prime number p and a sequence of p integers a_0, \\ldots, a_{p-1} consisting of zeros and ones.\nFind a polynomial of degree at most p-1, f(x) = b_{p-1} x^{p-1} + b_{p-2} x^{p-2} + \\ldots + b_0, satisfying the following conditions:\n - For each i (0 \\leq i \\leq p-1), b_i is an integer such that 0 \\leq b_i \\leq p-1.\n - For each i (0 \\leq i \\leq p-1), f(i) \\equiv a_i \\pmod p.\n\n-----Constraints-----\n - 2 \\leq p \\leq 2999\n - p is a prime number.\n - 0 \\leq a_i \\leq 1\n\n-----Input-----\nInput is given from Standard Input in the following format:\np\na_0 a_1 \\ldots a_{p-1}\n\n-----Output-----\nPrint b_0, b_1, \\ldots, b_{p-1} of a polynomial f(x) satisfying the conditions, in this order, with spaces in between.\nIt can be proved that a solution always exists. If multiple solutions exist, any of them will be accepted.\n\n-----Sample Input-----\n2\n1 0\n\n-----Sample Output-----\n1 1\n\nf(x) = x + 1 satisfies the conditions, as follows:\n - f(0) = 0 + 1 = 1 \\equiv 1 \\pmod 2\n - f(1) = 1 + 1 = 2 \\equiv 0 \\pmod 2",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\n# k,i -> i^k\\npower = np.ones((P,P),dtype = np.int64)\\nfor k in range(1,P):\\n    power[k] = power[k-1] * np.arange(P,dtype=np.int64) % P\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor i,a in enumerate(A):\\n    if a == 1:\\n        f[0] += 1\\n        f -= power[:,i][::-1]\\nf %= P\\n\\nf %= P\\nprint((*f))\\n\\n\", \"import numpy as np\\n\\np = int(input())\\naaa = list(map(int, input().split()))\\n\\nbins = [1]\\nfor i in range(1, p):\\n    bins.append(bins[-1] * (p - i) * pow(i, p - 2, p) % p)\\nbins = np.array(bins, dtype=np.int32)\\n\\npows_base = -np.arange(p, dtype=np.int32)\\npows = np.zeros((p, p), dtype=np.int32)\\npows[:, p - 1] = 1\\nfor i in range(p - 2, -1, -1):\\n    pows[:, i] = pows[:, i + 1] * pows_base % p\\n\\ncoefs = np.zeros(p, dtype=np.int32)\\n\\nfor i, a in enumerate(aaa):\\n    if a == 0:\\n        continue\\n\\n    coefs[0] += 1\\n    coefs = (coefs - bins * pows[i]) % p\\n\\nprint((*coefs))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * -i % p\\n    R[-1] = (R[-1] + len(I)) % p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"p = int(input())\\nb_list = [0 for _ in range(p-1)]\\na_list = list(map(int,input().split()))\\ndef frac(n):\\n    if a_list[n] == 1:\\n        t = 1\\n        for j in range(p-1):\\n            b_list[j] -= t\\n            t = (t*n)%p\\nif a_list[0] == 1:\\n    b_list[0] -= 1\\nfor i in range(p-1):\\n    frac(i+1)\\nb_list.reverse()\\nprint(a_list[0],end = ' ')\\nfor j in b_list:\\n    print(j % p,end = ' ')\\n\", \"# -*- coding: utf-8 -*-\\nfrom sys import stdin\\nimport numpy as np\\n# import sys\\n# sys.setrecursionlimit(10**4)\\n# import time\\n\\ndef _li(): return list(map(int, stdin.readline().split()))\\ndef _li_(): return list([int(x)-1 for x in stdin.readline().split()])\\ndef _lf(): return list(map(float, stdin.readline().split()))\\ndef _ls(): return stdin.readline().split()\\ndef _i(): return int(stdin.readline())\\ndef _f(): return float(stdin.readline())\\ndef _s(): return stdin.readline()[:-1]\\n\\n\\np = _i()\\na_list = np.array(_li())\\n\\nfactorial_invs = {0: 1, 1: 1}\\nfor i in range(2, p):\\n    factorial_invs[i] = (factorial_invs[i-1] * pow(i, p-2, p)) % p\\nnp_fact_invs = np.tile(np.array(list(factorial_invs.values()))\\n                       .reshape(1, -1), (p, 1))\\n\\npow_table = np.ones((p, p), dtype=int)\\npow_table[1, :] = np.arange(p)\\nfor i in range(2, p):\\n    pow_table[i] = (pow_table[i-1] * pow_table[1]) % p\\npow_table = pow_table.T\\n\\nfact_pminus1 = pow(factorial_invs[p-1], p-2, p)\\n\\ncoefs = np.zeros(p, dtype=int)\\n# for i, a in enumerate(a_list):\\n#     if a == 1:\\n#         for k in range(1, p):\\n#             coefs[k] = coefs[k] - (-1)**(k % 2) * pow(i, p-1-k, p)\\\\\\n#                     * fact_pminus1\\\\\\n#                     * factorial_invs[k]\\\\\\n#                     * factorial_invs[p-1-k]\\n#             coefs[k] %= p\\n\\ncoefs[0] = a_list[0]\\nsign_array = np.tile(((-1) ** (np.arange(1, p) % 2)).reshape(1, -1), (p, 1))\\ncoefs[1:] = - ((((sign_array[a_list == 1, :]\\n                  * pow_table[a_list == 1, :-1][:, ::-1]\\n                  * fact_pminus1) % p\\n                 * np_fact_invs[a_list == 1, 1:]) % p\\n                * np_fact_invs[a_list == 1, :-1][:, ::-1]\\n                ) % p).sum(axis=0)\\ncoefs %= p\\n\\nprint((*coefs))\\n\", \"import sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10 ** 7)\\n\\nimport numpy as np\\nfrom numpy.fft import rfft, irfft\\nimport itertools\\n\\nP = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfft_len = 6144\\ndef fft_convolve(A,B):\\n    C = irfft(rfft(A,fft_len) * rfft(B,fft_len))\\n    C = (C + .5).astype(np.int64)\\n    C[:P] += C[P:P+P]\\n    return C[:P] % P\\n  \\none = np.array([1], dtype=np.int64)\\narr = [np.array([(-x)%P,1],dtype=np.int64) for x in range(P)]\\nL = [one] + list(itertools.accumulate(arr[:-1],lambda a,b: np.convolve(a,b) % P))\\nR = ([one] + list(itertools.accumulate(arr[1:][::-1],lambda a,b: np.convolve(a,b) % P)))[::-1]\\nX = [fft_convolve(A,B) % P for A,B in zip(L,R)]\\n\\nf = np.zeros(P,dtype=np.int64)\\nfor a,x in zip(A,X):\\n    if a == 1:\\n        f -= x\\n\\nf %= P\\nprint((*f))\\n\", \"def solve():\\n    p = int(input())\\n    *A, = map(int, input().split())\\n\\n    L = p-1\\n    fact = [1]*(L+1)\\n    rfact = [1]*(L+1)\\n    r = 1\\n    for i in range(1, L+1):\\n        fact[i] = r = r * i % p\\n    rfact[L] = r = pow(r, p-2, p)\\n    for i in range(L, 0, -1):\\n        rfact[i-1] = r = r * i % p\\n    V = [(-fact[p-1] * rfact[k] * rfact[p-1-k]) % p for k in range(p)]\\n\\n    B = [-i for i in range(p)]\\n    R = [0]*p\\n    I = [i for i, a in enumerate(A) if a]\\n    C = [a for a in A]\\n\\n    for k in range(p):\\n        r = 0\\n        R[k] = V[k] * sum(C) % p\\n\\n        for i in I:\\n            C[i] = C[i] * B[i] % p\\n    R[-1] += len(I)\\n    for k in range(p):\\n        R[k] %= p\\n    R.reverse()\\n    print(*R)\\nsolve()\", \"import os\\nimport sys\\n\\nimport numpy as np\\n\\nif os.getenv(\\\"LOCAL\\\"):\\n    sys.stdin = open(\\\"_in.txt\\\", \\\"r\\\")\\n\\nsys.setrecursionlimit(10 ** 9)\\nINF = float(\\\"inf\\\")\\nIINF = 10 ** 18\\n\\n\\n# MOD = 10 ** 9 + 7\\n\\n\\n# MOD = 998244353\\n\\n\\ndef get_factorials(max, mod=None):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max!\\n    :param int max:\\n    :param int mod:\\n    :return:\\n    \\\"\\\"\\\"\\n    ret = [1]\\n    n = 1\\n    if mod:\\n        for i in range(1, max + 1):\\n            n *= i\\n            n %= mod\\n            ret.append(n)\\n    else:\\n        for i in range(1, max + 1):\\n            n *= i\\n            ret.append(n)\\n    return ret\\n\\n\\ndef mod_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u9006\\u5143\\u306e\\u30ea\\u30b9\\u30c8 0 \\u304b\\u3089 max \\u307e\\u3067\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    invs = [1] * (max + 1)\\n    for x in range(2, max + 1):\\n        invs[x] = (-(mod // x) * invs[mod % x]) % mod\\n    return invs\\n\\n\\ndef factorial_invs(max, mod):\\n    \\\"\\\"\\\"\\n    \\u968e\\u4e57 0!, 1!, 2!, ..., max! \\u306e\\u9006\\u5143\\n    :param int max:\\n    :param int mod:\\n    \\\"\\\"\\\"\\n    ret = []\\n    r = 1\\n    for inv in mod_invs(max, mod):\\n        r = r * inv % mod\\n        ret.append(r)\\n    return ret\\n\\n\\nclass Combination:\\n    def __init__(self, max, mod):\\n        \\\"\\\"\\\"\\n        :param int max:\\n        :param int mod: 3 \\u4ee5\\u4e0a\\u306e\\u7d20\\u6570\\u3067\\u3042\\u308b\\u3053\\u3068\\n        \\\"\\\"\\\"\\n        self._factorials = get_factorials(max, mod)\\n        self._finvs = factorial_invs(max, mod)\\n        self._mod = mod\\n\\n    def ncr(self, n, r):\\n        \\\"\\\"\\\"\\n        :param int n:\\n        :param int r:\\n        :rtype: int\\n        \\\"\\\"\\\"\\n        if n < r:\\n            return 0\\n        return (\\n                self._factorials[n]\\n                * self._finvs[r]\\n                % self._mod\\n                * self._finvs[n - r]\\n                % self._mod\\n        )\\n\\n\\nP = int(sys.stdin.readline())\\nA = list(map(int, sys.stdin.readline().split()))\\n\\n\\n# A = np.array(A, dtype=int)\\n# vpow = np.vectorize(lambda a, b: pow(a, b, P))\\n# mat = []\\n# for i in range(P):\\n#     mat.append(vpow(i, np.arange(P)))\\n# print(np.array(mat).sum(axis=1) % P)\\n# print(np.array(mat).sum(axis=0) % P)\\n# mat = np.hstack((mat, [[a] for a in A]))\\n#\\n# print(mat)\\n#\\n\\n\\ndef power_table():\\n    ret = np.ones((P, P), dtype=int)\\n    row = -np.arange(P, dtype=int)\\n    for i in range(1, P):\\n        ret[i] = ret[i - 1] * row % P\\n    return ret\\n\\n\\n# \\u89e3\\u8aacAC\\n# f(x) = 1\\u2212(x - j)^(P - 1) \\u306f\\u3001x == j \\u306e\\u3068\\u304d1\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u306e\\u3068\\u304d0\\n# A[j] == 1 \\u3067\\u3042\\u308b j \\u306b\\u3064\\u3044\\u3066\\u4e0a\\u8a18\\u306e\\u5f0f\\u3092\\u8db3\\u3057\\u5408\\u308f\\u305b\\u308b\\ncomb = Combination(max=P - 1, mod=P)\\nncr = np.array([comb.ncr(P - 1, i) for i in range(P)])\\n# power[i][j]: (-j)^i\\npower = power_table()\\n\\nB = np.zeros(P, dtype=int)\\nfor j, a in enumerate(A):\\n    if a == 0:\\n        continue\\n    B -= power[:, j] * ncr % P\\n    B[-1] += 1\\n    B %= P\\nprint((*B[::-1]))\\n\", \"import numpy as np\\nmod = 998244353\\n\\ndef poly_mul(f, g):\\n    # \\u53c2\\u8003: https://judge.yosupo.jp/submission/2380\\n    Lf = len(f); Lg = len(g); L = Lf + Lg - 1\\n    if Lf <= 16 or Lg <= 16:\\n        if Lf == 0 or Lg == 0:\\n            return np.zeros((0,), dtype=np.int64)\\n        return (np.convolve(f.astype(np.uint64), g.astype(np.uint64)) % mod).astype(np.int64)\\n    fft = np.fft.rfft; ifft = np.fft.irfft\\n    fft_len = 1 << L.bit_length()\\n    fl = f & (1 << 15) - 1; fh = f >> 15\\n    gl = g & (1 << 15) - 1; gh = g >> 15\\n    x = (ifft(fft(fl, fft_len) * fft(gl, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    y = (ifft(fft(fl+fh, fft_len) * fft(gl+gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    z = (ifft(fft(fh, fft_len) * fft(gh, fft_len))[:L] + 0.5).astype(np.int64) % mod\\n    return (x + ((y - x - z) << 15) + (z << 30)) % mod\\n\\ndef poly_inv(fps, n=None):\\n    assert fps[0] != 0\\n    if n is None:\\n        n = len(fps)\\n    res = np.zeros(1<<(n-1).bit_length(), dtype=np.int64)\\n    res[0] = pow(int(fps[0]), mod-2, mod)\\n    i = 1\\n    while i < n:\\n        i <<= 1\\n        res[:i] = ((res[:i]<<1) - poly_mul(poly_mul(res[:i>>1], res[:i>>1]), fps[:i])[:i]) % mod\\n    return res[:n]\\n\\ndef poly_div(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return np.zeros((0,), dtype=np.int64)\\n    n = n1 - n2 + 1\\n    res = poly_mul(fps1[-1:-n-1:-1], poly_inv(fps2[::-1], n))[n-1::-1]\\n    return res\\n\\ndef poly_mod(fps1, fps2):\\n    n1, n2 = len(fps1), len(fps2)\\n    if n1 < n2:\\n        return fps1\\n    res = fps1[:n2-1] - poly_mul(poly_div(fps1, fps2), fps2)[:n2-1]\\n    return res % mod\\n\\ndef multipoint_evaluation(fps, xs):\\n    threshold = 8\\n    n_xs = len(xs)\\n    bit = (n_xs-1).bit_length()\\n    if bit <= threshold:\\n        res = np.zeros_like(xs)\\n        xs_cumprod = np.ones_like(xs)\\n        for coef in fps:\\n            res += xs_cumprod * coef\\n            xs_cumprod *= xs\\n            xs_cumprod %= mod\\n        return res\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, k+1), dtype=fps.dtype)\\n    fpss[0, :n_xs] = -xs % mod\\n    fpss[1, :k:2] = fpss[0, :k:2] * fpss[0, 1::2] % mod\\n    fpss[1, 1::2] = (fpss[0, :k:2] + fpss[0, 1::2]) % mod\\n    for i in range(1, bit):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+step] = f[:-1]\\n    f = poly_mod(fps, f)\\n    fpss[-1, :len(f)] = f\\n    fpss[-1, len(f):] = 0\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, k, step):\\n            f = fpss[i+1, j:j+step]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss[i, j:j+half] = poly_mod(f, f1)\\n            fpss[i, j+half:j+step] = poly_mod(f, f2)\\n    xs = (-fpss[0, :k] % mod).reshape(-1, 1<<threshold)\\n    xs_cumprod = np.ones_like(xs)\\n    res = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        res += fpss[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    return res.reshape(-1)[:n_xs] % mod\\n\\ndef poly_differential(fps):\\n    return fps[1:] * np.arange(1, len(fps)) % mod\\n\\ndef lagrange_interpolation(X, Y, mod):\\n    # old\\n    n = len(X)\\n    g = [0]*(n+1)\\n    g[0] = 1\\n    for i, x in enumerate(X):\\n        for j in range(i, -1, -1):\\n            g[j+1] += g[j] * (-x) % mod\\n    res = [0]*n\\n    for x, y in zip(X, Y):\\n        f = g[:]\\n        denom = 0\\n        v = 1\\n        pow_x = [1]  # x \\u306e idx \\u4e57\\n        for _ in range(n-1):\\n            v = v * x % mod\\n            pow_x.append(v)\\n        pow_x.reverse()  # n-1 \\u4e57 ~ 0 \\u4e57\\n        for i, po in enumerate(pow_x):\\n            f_i = f[i]\\n            f[i+1] += f_i * x % mod  # f = g / (x - x_i) \\u3092\\u7d44\\u7acb\\u9664\\u6cd5\\u3067\\u6c42\\u3081\\u308b\\n            denom = (denom + f_i * po) % mod\\n        denom_inv = pow(denom, mod-2, mod)\\n        for i, f_i in enumerate(f[:n]):\\n            res[i] += (f_i * y * denom_inv)# % mod  # mod \\u304c\\u5927\\u304d\\u3044\\u3068 64bit \\u306b\\u53ce\\u307e\\u3089\\u306a\\u304f\\u306a\\u308b\\u306e\\u3067\\u3072\\u3068\\u3064\\u305a\\u3064 mod \\u53d6\\u3063\\u305f\\u65b9\\u304c\\u3044\\u3044\\u304b\\uff1f\\n    return [v % mod for v in res]\\n\\ndef polynomial_interpolation(xs, ys):\\n    # \\u53c2\\u8003: https://rsk0315.hatenablog.com/entry/2020/04/05/203210\\n    assert len(xs) == len(ys)\\n    threshold = 8\\n    as_strided = np.lib.stride_tricks.as_strided\\n    n = len(xs)\\n    if n==1:\\n        return ys.copy()\\n    bit = (n-1).bit_length()\\n    if bit <= threshold:\\n        res = lagrange_interpolation(xs.tolist(), ys.tolist(), mod)\\n        return np.array(res[::-1], dtype=np.int64)\\n    k = 1<<bit\\n    fpss = np.zeros((bit+1, n+1), dtype=np.int64)\\n    fpss[0, :n] = -xs % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss[i+1, j:n] = fpss[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            f = poly_mul(f1, f2)\\n            fpss[i+1, j:j+len(f)-1] = f[:-1]\\n    fpss2 = np.zeros((bit+1, k+1), dtype=np.int64)\\n    fpss2[bit, :n] = poly_differential(f)\\n    for i in range(bit-1, threshold-1, -1):\\n        step = 2<<i\\n        half = step>>1\\n        for j in range(0, n, step):\\n            if j+half >= n:\\n                fpss2[i, j:n] = fpss2[i+1, j:n]\\n                continue\\n            f = fpss2[i+1, j:min(j+step, n)]\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:min(j+step, n)+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i, j:j+half] = poly_mod(f, f1)\\n            fpss2[i, j+half:min(j+step, n)] = poly_mod(f, f2)\\n    xs = as_strided(xs, (k>>threshold, 1<<threshold), (8<<threshold, 8))\\n    xs_cumprod = np.ones_like(xs)\\n    f = np.zeros_like(xs)\\n    for i in range(1<<threshold):\\n        f += fpss2[threshold, i:k:1<<threshold, None] * xs_cumprod % mod\\n        xs_cumprod *= xs\\n        xs_cumprod %= mod\\n    f = f.ravel()\\n    for j in range(n):\\n        fpss2[0, j] = ys[j] * pow(int(f[j]), mod-2, mod) % mod\\n    for i in range(bit):\\n        step = 2 << i\\n        half = step >> 1\\n        for j in range(0, k, step):\\n            if j+half >= n:\\n                fpss2[i+1, j:n] = fpss2[i, j:n]\\n                continue\\n            f1 = fpss[i, j:j+half+1].copy()\\n            f2 = fpss[i, j+half:j+step+1].copy()\\n            f1[-1] = f2[-1] = 1\\n            fpss2[i+1, j:min(j+step, n)] = (\\n                poly_mul(fpss2[i, j:j+half], f2)\\n                + poly_mul(fpss2[i, j+half:min(j+step, n)], f1)\\n            ) % mod\\n    return fpss2[bit, :n]\\n\\nmod = int(input())\\nA = np.array(input().split(), dtype=np.int64)\\nX = np.arange(mod, dtype=np.int64)\\nAns = polynomial_interpolation(X, A)\\nprint((\\\" \\\".join(map(str, Ans.tolist()))))\\n\"]",
        "difficulty": "interview",
        "input": "2389\n0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
        "output": "0 1417 675 514 407 594 2003 602 63 2001 1350 372 920 1339 57 1653 58 933 457 1230 1360 81 511 1599 1061 313 2305 1157 439 810 801 1014 617 2202 778 1037 1016 1986 527 1995 1702 878 1431 412 1943 1445 1558 1500 1063 1090 138 2195 911 787 1136 1837 815 1791 893 329 187 726 810 4 2282 1038 961 1807 1166 1529 2305 2153 424 1357 1184 2054 66 10 1023 1283 1803 1430 2058 439 1073 1009 880 2152 1312 1565 2374 801 666 1254 2012 2370 914 377 1406 202 1609 599 630 131 655 250 1083 1879 1327 1383 2102 1806 1026 434 1866 1285 1018 1183 1074 90 2188 1574 1531 923 43 1591 1892 1167 236 980 984 1895 1715 844 121 1024 895 1052 1335 479 1802 763 1193 1845 1261 1771 1064 1704 910 779 2048 1362 1585 1157 2212 472 1226 893 296 1242 1469 484 51 447 1398 2135 63 735 1723 311 2163 2356 1492 653 2156 927 349 2246 1623 246 544 1804 454 762 742 1596 703 646 376 1150 169 2086 941 2345 488 2179 1109 423 2271 250 2125 2261 2194 1215 340 82 542 531 2094 2181 1328 2303 1633 2223 1775 2171 305 76 350 919 970 499 580 1463 2273 1817 946 1522 1257 895 1489 940 220 1892 1416 491 845 1250 231 1806 394 2042 580 1840 1708 1613 1773 364 217 1795 958 766 1222 436 1248 1039 1276 2305 1360 1931 644 1494 168 1367 896 890 1602 137 349 1636 1764 372 897 1691 1592 325 619 100 1273 1534 2088 557 833 415 493 664 1332 2382 771 2297 1532 965 2074 420 755 1608 1675 2305 1391 374 2108 1767 2136 1775 320 2252 1399 2360 2062 1040 277 1265 351 506 131 1540 1853 1460 1711 820 1596 2208 124 584 1578 571 2179 2096 2300 883 1385 1258 420 371 1782 415 1642 2189 2142 2341 2104 2281 925 2078 1085 921 604 1208 744 459 1575 2026 1569 2296 193 1992 1242 1967 1499 1080 136 2101 946 1232 2273 436 2180 777 495 860 452 2115 1284 1697 1419 1860 944 2309 29 1944 1672 862 1786 1172 1687 170 1436 1963 1612 1021 1183 2188 1873 760 719 1486 1756 2139 460 217 1958 242 413 1211 539 494 1974 1569 1189 1667 1556 1761 1470 2092 1465 427 1492 2062 2246 1338 1617 1987 401 432 1323 230 1304 1163 1639 694 2078 418 1948 1896 1199 1805 730 354 632 139 519 774 261 1977 1721 1664 90 1340 1202 2379 92 118 708 735 2185 329 941 102 340 1809 938 1636 2369 1322 193 915 2383 1009 330 2060 254 1130 688 1921 272 2013 1458 2022 303 1242 223 1789 2338 1352 841 1497 1902 2358 406 176 56 303 2303 1821 1753 224 713 1715 2059 2167 1408 1990 337 162 1897 2263 1412 1553 647 1488 1693 1048 472 1632 854 1593 217 1504 2373 369 341 826 1029 485 1031 63 229 767 807 1499 2073 1178 1647 1035 213 2215 740 983 2238 2314 619 2049 224 1103 420 1553 761 1899 906 1119 48 641 2364 2348 2289 500 1232 1100 1215 860 320 1238 61 708 1274 1357 1425 1554 2192 1859 2107 1830 1343 1500 2375 1885 756 1392 332 663 1975 890 438 2213 495 989 1871 1908 1846 1064 1839 2232 439 225 435 1048 2356 2112 297 454 2180 2018 875 1061 1912 1653 1514 2096 1432 1782 446 730 1424 1452 340 610 511 1666 1681 2028 1186 661 549 674 1773 680 350 672 2289 2199 196 685 5 1118 1021 676 457 1602 855 1234 20 2316 231 490 736 1045 527 2051 1226 1887 1017 1354 1757 2300 192 1028 1096 1515 910 1668 913 1686 683 1472 1972 617 1250 769 1624 2101 2001 891 1597 1932 599 45 697 2108 1577 1623 513 481 103 887 183 1971 1124 493 2131 34 0 613 614 1304 1859 391 2117 139 387 337 2194 671 712 2191 1801 2231 1534 203 1545 1043 1965 646 1153 367 3 851 2012 214 1750 1247 1725 1295 1561 2241 985 1326 952 341 2172 1211 1436 1387 2036 1993 850 1788 1915 846 1818 1315 1595 494 2024 995 2318 572 236 323 860 2385 1650 2079 40 2372 1296 1927 1480 203 209 1390 2254 80 1779 1493 293 1424 1773 331 235 486 681 1567 974 2377 1956 232 739 2004 1789 680 623 1983 2372 2032 2378 1376 1132 1999 1321 347 1320 343 2150 1069 266 928 541 1450 2078 1040 238 1392 2269 1414 1994 1163 1632 616 65 947 97 1730 844 557 1937 309 643 1504 1698 756 1027 1283 865 1698 2173 1917 316 1014 403 688 1080 488 2333 1910 1287 2024 1189 1320 958 1128 1092 927 2090 2305 1770 2049 2293 2056 186 1777 1854 897 1000 767 759 1439 943 2093 11 996 1071 197 984 1141 818 190 923 2360 1708 1711 587 1004 2237 1051 310 216 75 551 939 1815 2163 1887 116 1980 623 1927 398 519 124 1358 1761 2349 494 152 1687 118 923 2254 1411 2094 14 558 1783 1831 1758 992 332 2093 1999 652 1886 2324 757 522 284 967 2134 869 168 2323 1313 1447 1744 1433 1928 883 2386 254 991 1143 1869 2276 403 2125 302 2243 796 1532 141 1344 846 526 2080 1020 873 2380 1265 963 2242 1354 1571 1931 964 1318 1518 365 716 825 515 151 1194 1374 1068 1327 771 1255 1912 943 1465 1348 1323 17 1335 2161 283 784 982 1582 1439 1729 1942 1267 1730 489 672 958 1733 1439 437 1599 167 1645 538 199 1858 139 608 337 620 1167 1901 1935 2255 1117 578 1369 62 503 729 2234 350 518 1040 772 1885 1058 1634 1584 2312 1783 1396 1181 1594 799 2220 949 971 412 1344 170 1170 2297 1448 2 493 1845 409 286 1360 1122 1039 1996 1297 1108 2193 272 1456 2200 2212 717 102 1957 1256 575 1350 1980 1499 245 224 1777 483 39 1880 682 427 924 880 864 1296 914 95 1885 1314 472 925 1882 227 1730 339 1591 2257 1393 2042 1122 174 546 2303 436 1925 2335 2293 2063 893 603 639 2323 1681 2029 606 248 802 510 653 1337 1103 1102 1224 888 171 1037 349 798 122 1190 440 104 1532 1471 92 2180 2090 920 1556 389 1174 2177 933 1783 845 470 22 46 98 143 2135 1942 1452 477 259 2107 790 1729 1330 1714 371 1740 130 888 73 21 2292 904 839 658 1614 1417 880 2188 1326 1618 875 1607 227 1079 2339 2080 636 1096 1162 1989 1881 1087 1713 1400 2237 484 1673 972 2281 1954 797 1062 2058 2194 1488 486 1515 183 2065 2164 1619 1819 316 2034 2368 583 79 1582 704 1122 94 2092 2376 151 958 1109 835 712 1361 1010 2089 2210 61 1396 1171 2042 1718 1793 2105 468 39 243 1943 9 152 1169 1893 1625 1653 2353 1199 1696 1132 721 975 77 2375 641 320 818 1702 1043 1791 1319 110 193 927 676 1898 946 2299 1786 1525 629 2093 2289 1040 615 655 1080 2277 682 626 522 630 163 612 491 6 1134 816 1273 1070 2358 1956 248 127 1789 1707 693 1704 1805 1984 439 1323 199 2157 1585 1333 1882 1637 1742 2362 768 1368 703 366 2302 1808 2104 2309 1019 1486 1229 541 764 2117 1680 952 1089 1868 1858 594 2269 1553 2076 1599 1105 773 1801 431 2202 1150 878 1128 1225 1080 795 376 1005 468 2175 1604 313 1231 125 2048 1476 1720 187 1459 1845 252 2320 1589 360 314 1043 1193 2070 892 1849 1435 1607 1348 158 2379 1915 839 233 328 190 1253 427 2379 2351 1151 549 1471 2352 2247 1714 1212 582 898 1159 2 2137 1362 684 1888 450 1094 770 1712 187 1183 520 742 2005 2086 1108 1278 1124 1912 2255 917 1529 2242 976 2240 678 636 58 264 987 1817 1210 1531 1107 1723 1634 1383 1450 863 699 1678 1821 311 1108 688 133 493 701 1824 1197 1569 1862 2292 2068 91 281 1400 1920 982 1792 359 1114 662 897 472 920 1009 1477 1931 1973 2249 2104 1544 225 956 1760 2277 1623 835 256 301 1424 198 1602 1773 648 238 1311 1981 2102 896 250 486 2212 866 1079 1402 373 2361 2116 80 2283 1041 1179 627 1414 446 1913 1209 2014 1791 440 2202 1765 1392 387 1761 1342 439 934 1001 554 1235 596 2245 632 181 813 987 2083 253 1031 1644 794 644 1208 1567 2216 409 1971 1238 1528 520 334 156 1172 963 85 1326 1430 2385 1739 2259 2046 1490 2133 338 2056 1616 2332 1411 559 1881 82 687 2220 2222 1101 1564 2313 1681 2031 854 1264 1550 1134 1497 1941 695 1950 1977 2228 943 382 800 483 1612 2337 753 684 2022 1304 1633 873 1716 770 652 1837 2329 1554 1135 1425 2046 1738 744 53 333 1478 1410 1077 1556 2020 320 998 703 818 1842 2149 2086 1330 1511 1537 415 1612 1126 1605 1061 507 1573 1383 2191 2155 1720 1542 2180 451 244 1199 1161 918 1181 1566 2199 559 213 769 487 1421 2354 1327 2082 1433 2176 938 681 1194 1647 805 795 275 3 2171 2142 2178 1594 1618 888 639 1456 916 1783 2035 651 1297 1131 1993 71 657 944 1158 2330 2171 602 435 591 1799 817 1062 1572 284 479 1971 1295 18 2040 495 1478 1465 95 2273 2310 1729 124 2301 2333 431 2339 1803 458 469 1793 72 1804 1837 663 1811 1905 2013 78 2068 2183 1898 1038 1044 2189 75 177 811 1768 1849 1452 190 274 2255 1594 1985 438 1692 1113 1228 1984 2102 1335 1400 889 1499 1663 356 339 115 804 2105 2363 712 107 431 757 1619 2056 2385 942 447 1408 1095 934 1298 1772 1064 1338 1683 679 1128 1734 2006 737 1939 2169 755 1664 410 1849 1385 1524 1518 1048 1019 748 741 787 1756 599 1889 1839 1315 1794 2348 1746 507 13 2041 165 2115 1771 198 1369 566 2196 1162 71 1695 2386 1132 453 1709 2312 293 1398 1109 632 1450 2316 2287 704 1657 581 1744 101 1977 2358 244 789 1947 1656 1875 809 2121 2000 621 69 2151 880 1028 2336 1864 993 70 626 910 211 1176 628 1568 1257 1125 922 2385 216 493 142 319 1702 1156 799 502 2278 1167 1603 1073 2004 1073 128 638 729 353 2120 1653 2230 325 1864 932 245 1221 1262 2285 1470 395 856 742 2359 239 2323 2007 1304 1608 824 783 935 369 2083 1597 632 739 266 994 543 1440 823 2009 1496 1285 995 21 1860 722 888 908 638 229 712 805 2062 1582 2015 1414 1009 144 855 1433 2157 342 1833 1067 2250 1626 54 503 727 2164 389 2137 106 2272 392 1512 747 1968 2048 364 2231 1055 382 1628 560 2198 1555 938 1041 1950 904 1916 2102 1653 1387 836 1009 2084 1076 1662 1001 311 2362 1038 83 2119 1798 1703 711 1248 582 1298 1962 700 1317 1786 1632 152 693 1204 241 1334 200 1008 1502 633 85 1774 851 1156 1791 129 1023 1688 1733 2295 1899 432 532 2148 75 1808 787 1418 1067 337 1917 673 2213 1939 1028 1999 1095 742 1791 2168 1205 1084 135 71 2066 1313 1276 870 1643 935 269 1886 2339 594 814 1798 14 309 1728 191 2157 2114 2224 1690 1863 2320 1152 2308 138 1519 929 218 2211 57 1125 1735 503 1302 2037 424 2384 1027 1885 1129 5 362 701 1105 1423 630 515 2265 471 2170 104 1764 2122 1050 496 384 578 742 2045 268 1935 124 944 1865 623 2260 2289 1572 1715 35 1841 1520 771 1580 1744 1508 1648 96 325 846 1824 975 1351 1178 817 416 358 1989 260 1742 139 1400 558 1349 761 729 2185 1951 1073 1012 2070 1334 1927 997 1198 1679 213 358 270 870 427 1209 984 1552 1822 209 1918 1513 1289 2286 2335 630 2104 2320 962 1523 560 1681 1754 857 2337 231 22 1584 2313 710 1021 1487 804 955 947 2095 855 1074 327 1612 1262 1331 1342 1435 1970 2350 2327 351 277 1130 1635 1789 1831 2281 1961 2058 2377 1216 2145 1446 1265 2050 137 2126 447 1834 54 329 431 1752 372 1389 1376 364 1566 721 1181 244 1023 866 2197 854 2321 1339 841 494 1104 735 1025 620 2069 1498 252 1594 2128 384 1489 1826 802 685 1300 1767 69 1004 1393 1272 605 1791 2031 2368 1266 2139 1622 1152 1088 1233 57 1306 1202 1438 1122 2271 2251 433 783 1823 2366 601 1924 2095 2120 212 568 1642 1484 1641 124 300 1786 2086 1496 132 800 2057 507 1348 368 955 1017 1259 719 68 982 1279 2336 2276 1693 1159 20 2374 1525 590 915 1232 2106 448 208 1155 355 206 1534 2303 323 1381 44 163 732 2155 2387 51 2281 702 1648 557 1234 1483 156 989 347 1445 711 91 687 174 1275 218 520 2036 507 1526 2017 1307 1503 113 239 2169 646 487 2098 1524 173 1364 1238 1447 1500 660 491 1789 659 2077 2181 600 2305 935 433 1527 1433 840 1644 787 1596 1326 732 2353 1615 1489 2103 2273 670 525 1586 291 909 424 527 330 1362 338 1199 87 1562 1414 443 560 723 1986 2031 401 1029 1482 742 665 360 1893 382 1968 1404 607 1694 586 295 1463 1655 588 1836 1235 1549 128 2254\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc137/tasks/abc137_f"
    },
    {
        "id": 155,
        "task_id": 753,
        "test_case_id": 1,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "1 1 3 2\n",
        "output": "1/3\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 156,
        "task_id": 753,
        "test_case_id": 2,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "4 3 2 2\n",
        "output": "1/4\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 157,
        "task_id": 753,
        "test_case_id": 3,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "3 4 2 3\n",
        "output": "1/9\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 158,
        "task_id": 753,
        "test_case_id": 4,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "4 4 5 5\n",
        "output": "0/1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 159,
        "task_id": 753,
        "test_case_id": 5,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "1 1 1 1\n",
        "output": "0/1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 160,
        "task_id": 753,
        "test_case_id": 6,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "1000 1000 1000 1000\n",
        "output": "0/1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 161,
        "task_id": 753,
        "test_case_id": 7,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "125 992 14 25\n",
        "output": "10763/13888\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 162,
        "task_id": 753,
        "test_case_id": 8,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "999 998 997 996\n",
        "output": "1/497503\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 163,
        "task_id": 753,
        "test_case_id": 9,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "984 286 976 284\n",
        "output": "10/8733\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 164,
        "task_id": 753,
        "test_case_id": 10,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "999 1000 1000 999\n",
        "output": "1999/1000000\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 165,
        "task_id": 753,
        "test_case_id": 11,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "999 1000 998 999\n",
        "output": "1/998001\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 166,
        "task_id": 753,
        "test_case_id": 12,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "1 1000 1000 1\n",
        "output": "999999/1000000\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 167,
        "task_id": 753,
        "test_case_id": 13,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "1 999 1000 1\n",
        "output": "998999/999000\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 168,
        "task_id": 753,
        "test_case_id": 14,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "50 80 6 3\n",
        "output": "11/16\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 169,
        "task_id": 753,
        "test_case_id": 15,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "114 891 20 3\n",
        "output": "971/990\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 170,
        "task_id": 753,
        "test_case_id": 16,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "10 13 75 57\n",
        "output": "27/65\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 171,
        "task_id": 753,
        "test_case_id": 17,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "21 35 34 51\n",
        "output": "1/10\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 172,
        "task_id": 753,
        "test_case_id": 18,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "41 95 82 30\n",
        "output": "16/19\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 173,
        "task_id": 753,
        "test_case_id": 19,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "123 150 82 60\n",
        "output": "2/5\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 174,
        "task_id": 753,
        "test_case_id": 20,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "100 175 164 82\n",
        "output": "5/7\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 175,
        "task_id": 753,
        "test_case_id": 21,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "101 202 37 72\n",
        "output": "1/37\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 176,
        "task_id": 753,
        "test_case_id": 22,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "103 305 34 61\n",
        "output": "67/170\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 177,
        "task_id": 753,
        "test_case_id": 23,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "100 131 70 77\n",
        "output": "21/131\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 178,
        "task_id": 753,
        "test_case_id": 24,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "193 246 82 95\n",
        "output": "1837/20172\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 179,
        "task_id": 753,
        "test_case_id": 25,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "188 199 121 123\n",
        "output": "955/24079\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 180,
        "task_id": 753,
        "test_case_id": 26,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "289 361 162 198\n",
        "output": "70/3249\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 181,
        "task_id": 753,
        "test_case_id": 27,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "294 356 178 185\n",
        "output": "4489/31684\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 182,
        "task_id": 753,
        "test_case_id": 28,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "201 335 268 402\n",
        "output": "1/10\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 183,
        "task_id": 753,
        "test_case_id": 29,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "202 404 404 505\n",
        "output": "3/8\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 184,
        "task_id": 753,
        "test_case_id": 30,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "206 412 309 515\n",
        "output": "1/6\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 185,
        "task_id": 753,
        "test_case_id": 31,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "803 949 657 730\n",
        "output": "7/117\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 186,
        "task_id": 753,
        "test_case_id": 32,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "804 938 871 938\n",
        "output": "1/13\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 187,
        "task_id": 753,
        "test_case_id": 33,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "826 944 826 885\n",
        "output": "1/16\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 188,
        "task_id": 753,
        "test_case_id": 34,
        "question": "Manao has a monitor. The screen of the monitor has horizontal to vertical length ratio a:b. Now he is going to watch a movie. The movie's frame has horizontal to vertical length ratio c:d. Manao adjusts the view in such a way that the movie preserves the original frame ratio, but also occupies as much space on the screen as possible and fits within it completely. Thus, he may have to zoom the movie in or out, but Manao will always change the frame proportionally in both dimensions.\n\nCalculate the ratio of empty screen (the part of the screen not occupied by the movie) to the total screen size. Print the answer as an irreducible fraction p / q.\n\n\n-----Input-----\n\nA single line contains four space-separated integers a, b, c, d (1 ≤ a, b, c, d ≤ 1000).\n\n\n-----Output-----\n\nPrint the answer to the problem as \"p/q\", where p is a non-negative integer, q is a positive integer and numbers p and q don't have a common divisor larger than 1.\n\n\n-----Examples-----\nInput\n1 1 3 2\n\nOutput\n1/3\n\nInput\n4 3 2 2\n\nOutput\n1/4\n\n\n\n-----Note-----\n\nSample 1. Manao's monitor has a square screen. The movie has 3:2 horizontal to vertical length ratio. Obviously, the movie occupies most of the screen if the width of the picture coincides with the width of the screen. In this case, only 2/3 of the monitor will project the movie in the horizontal dimension: [Image]\n\nSample 2. This time the monitor's width is 4/3 times larger than its height and the movie's frame is square. In this case, the picture must take up the whole monitor in the vertical dimension and only 3/4 in the horizontal dimension: [Image]",
        "solutions": "[\"from fractions import Fraction,gcd\\n\\na,b,c,d = [int(x) for x in input().split()]\\n\\nif a*d > b*c:\\n    num = a*d-b*c\\n    denom = a*d\\nelse:\\n    num = b*c-a*d\\n    denom = b*c\\ndiv = gcd(num,denom)\\nprint('%d/%d'%(num//div,denom//div))\\n\", \"from fractions import gcd\\na,b,c,d = list(map(int, input().split()))\\nax, bx, cx, dx = a,b,c,d\\n\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans1 = (negru, monitor)\\n\\n\\na,b,c,d = bx, ax, dx, cx\\na,b,c,d = a*d, b*d, c*b, d*b\\n\\nmonitor = a*b\\nfilm = c*d\\nnegru = monitor - film\\n\\nmonitor, negru = monitor//gcd(monitor, negru), negru//gcd(monitor, negru)\\nans2 = (negru, monitor)\\n\\n\\n\\n\\nif ans1[1] == 0 or ans1[0] / ans1[1] < 0:\\n    sol = ans2\\nelif ans2[1] == 0 or ans2[0] / ans2[1] < 0:\\n    sol = ans1\\nelse:\\n    if ans1[0] / ans1[1] < ans2[0] / ans2[1]: sol = ans1\\n    else: sol = ans2\\n\\nprint('%i/%i' % sol)\\n    \\n\\n\", \"import fractions\\n\\ndef solve(a, b, c, d):\\n    if a * d == b * c:\\n        return \\\"0/1\\\"\\n    elif a / c > b / d:\\n        return str(fractions.Fraction(a * d - c * b, a * d))\\n    else:\\n        return str(fractions.Fraction(c * b - a * d, c * b))\\n\\ndef test():\\n    assert solve(1, 1, 3, 2) == \\\"1/3\\\"\\n    assert solve(4, 3, 2, 2) == \\\"1/4\\\"\\n    assert solve(1, 1, 1, 1) == \\\"0/1\\\"\\n    print(\\\"test passes\\\")\\n\\n##test()\\na, b, c, d = tuple(map(int, input().split()))\\nprint(solve(a, b, c, d))\\n    \\n\", \"from fractions import Fraction\\n\\ndef __starting_point():\\n    inp = input()\\n    arr = inp.split(\\\" \\\")\\n    a = Fraction(int(arr[0]),1)\\n    b = Fraction(int(arr[1]),1)\\n    c = Fraction(int(arr[2]),1)\\n    d = Fraction(int(arr[3]),1)\\n\\n\\n    if d*a == c*b:\\n        ans=Fraction(0,1)\\n    elif d*a<c*b:\\n        ans = (b-(d*(a/c)))/b\\n    else:\\n        ans = (a-(c*(b/d)))/a\\n    \\n    print(ans.numerator,end='')\\n    print('/',end='')\\n    print(ans.denominator)\\n\\n__starting_point()\", \"a, b, c, d = list(map(int, input().split()))\\n\\n\\ndef largest_div(n, m):\\n    while m > 0:\\n        rest = n % m\\n        n = m\\n        m = rest\\n    return n\\n\\nif a/b == c/d:\\n    print(\\\"0/1\\\")\\nelse:\\n    if a/b > c/d:  # full height\\n        f_new_width = c * b\\n        f_upper = d * a - f_new_width\\n        f_lower = d * a\\n    else:  # full width\\n        f_new_height = d * a\\n        f_upper = c * b - f_new_height\\n        f_lower = c * b\\n\\n\\n    div = largest_div(f_upper, f_lower)\\n    print(\\\"/\\\".join((str(int(f_upper/div)), str(int(f_lower/div)))))\\n\", \"3\\n\\nimport sys\\nfrom fractions import Fraction\\n\\na, b, c, d = list(map(int, sys.stdin.readline().strip().split()))\\nd2 = Fraction(d*a, c)\\nans = None\\nif d2 <= Fraction(b):\\n    # fits left-to-right\\n    ans = (Fraction(b) - d2) / Fraction(b)\\nelse:\\n    # fits top-to-bottom\\n    c2 = Fraction(c*b, d)\\n    ans = (Fraction(a) - c2) / Fraction(a)\\n\\nif ans.denominator == 1:\\n    print(\\\"%d/1\\\" % ans.numerator)\\nelse:\\n    print(ans)\\n\", \"from math import *\\ndef GCD(a, b):\\n\\twhile (b):\\n\\t\\ta %= b\\n\\t\\ta, b = b, a\\n\\treturn a\\na, b, c, d = map(int, input().split())\\nC, D = min(a*d,b*c), max(a*d,b*c)\\nC = D - C\\nG = GCD(C, D)\\nC = C // G\\nD = D // G\\nprint (str(C) + \\\"/\\\" + str(D))\", \"from fractions import Fraction\\nfrom decimal import Decimal\\na, b, c, d = list(map(int, input().split()))\\nans = max(Fraction((a * d - b * c)/ (a * d)).limit_denominator(), Fraction((b * c - a * d) / (b * c)).limit_denominator())\\nif ans == 0:\\n    ans = '0/1'\\nprint(ans)\\n\", \"from fractions import gcd\\n\\n\\ndef socr(a, b):\\n    tmp = gcd(a, b)\\n    return a // tmp, b // tmp\\n\\na, b, c, d = list(map(int, input().split()))\\n\\nans = socr(a * d - b * c, a * d)\\na, b = b, a\\nc, d = d, c\\nans = socr(a * d - b * c, a * d) if ans[0] < 0 or ans[1] < 0 else ans\\nprint(str(int(ans[0])) + '/' + str(int(ans[1])))\\n\", \"from fractions import gcd,Fraction,Decimal\\na,b,c,d=map(int,input().split())\\n\\n##c->a\\n##d->b\\nif(a/b<c/d):\\n    N=(b*c)-(a*d)\\n    D=b*c\\nelse:\\n    N=(a*d)-(b*c)\\n    D=a*d\\n\\nx=gcd(N,D)\\n\\nprint(N//x,end=\\\"/\\\")\\nprint(D//x)\\n\\n\\n\", \"import sys\\n\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\n\\nclass Fraction:\\n    def __init__(self, p = 0, q = 1, reduced = True):\\n        if type(p) == int:\\n            self.p = p\\n            if type(q) == int:\\n                self.q = q\\n        elif type(p) == Fraction:\\n            self.p = p.p\\n            self.q = p.q\\n        else:\\n            i = p.find(' ')\\n            if i == -1:\\n                i = p.find('/')\\n            if i == -1:\\n                self.p = int(p)\\n                self.q = 1\\n            else:\\n                self.p = int(p[:i])\\n                self.q = int(p[i + 1:])\\n        if reduced:\\n            self.reduce()\\n\\n    def reduce(self):\\n        g = gcd(self.p, self.q)\\n        self.p //= g\\n        self.q //= g\\n\\n    def __str__(self):\\n        if self.q == 1:\\n            return(str(self.p))\\n        else:\\n            return(str(self.p) + '/' + str(self.q))\\n\\n    def __lt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p < other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q < self.q * other.p\\n\\n    def __le__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p <= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q <= self.q * other.p\\n\\n    def __gt__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p > other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q > self.q * other.p\\n\\n    def __ge__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p >= other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q >= self.q * other.p\\n\\n    def __eq__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p == other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q == self.q * other.p\\n\\n    def __ne__(self, other):\\n        self.reduce()\\n        if type(other) == float or type(other) == int:\\n            return self.p != other * self.q\\n        else:\\n            other.reduce()\\n            return self.p * other.q != self.q * other.p\\n\\n    def __mul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __rmul__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p * other, self.q)\\n        elif type(other) == float:\\n            return self.p * other / self.q\\n        else:\\n            return Fraction(self.p * other.p, self.q * other.q)\\n\\n    def __imul__(self, other):\\n        self = self * other\\n        return self\\n\\n    def __truediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p, self.q * other)\\n        elif type(other) == float:\\n            return self.p / self.q / other\\n        else:\\n            return Fraction(self.p * other.q, self.q * other.p)\\n\\n    def __rtruediv__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other, self.p)\\n        elif type(other) == float:\\n            return other * self.q / self.p\\n        else:\\n            return Fraction(self.q * other.p, self.p * other.q)\\n\\n    def __itruediv__(self, other):\\n        self = self / other\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == int:\\n            if other >= 0:\\n                return Fraction(self.p ** other, self.q ** other, False)\\n            else:\\n                return Fraction(self.q ** (-other), self.p ** (-other), False)\\n        elif type(other) == float:\\n            return (self.p / self.q) ** other\\n        else:\\n            return (self.p / self.q) ** (other.p / other.q)\\n\\n    def __rpow__(self, other):\\n        if type(other) == int or type(other) == float:\\n            return other ** (self.p / self.q)\\n        else:\\n            return (other.p / other.q) ** (self.p / self.q)\\n\\n    def __ipow__(self, other):\\n        self = self ** other\\n        return self\\n\\n    def __add__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __radd__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p + self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q + other\\n        else:\\n            return Fraction(self.p * other.q + self.q * other. p, self.q * other.q)\\n\\n    def __iadd__(self, other):\\n        self.reduce()\\n        self = self + other\\n        return self\\n\\n    def __sub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.p - self.q * other, self.q)\\n        elif type(other) == float:\\n            return self.p / self.q - other\\n        else:\\n            return Fraction(self.p * other.q - self.q * other. p, self.q * other.q)\\n\\n    def __rsub__(self, other):\\n        self.reduce()\\n        if type(other) == int:\\n            return Fraction(self.q * other - self.p, self.q)\\n        elif type(other) == float:\\n            return other - self.p / self.q\\n        else:\\n            return Fraction(self.q * other. p - self.p * other.q, self.q * other.q)\\n\\n    def __pos__(self):\\n        return Fraction(+self.p, +self.q)\\n\\n    def __neg__(self):\\n        return Fraction(-self.p, self.q)\\n\\n    def __abs__(self):\\n        if self.p < 0:\\n            return -self\\n        else:\\n            return self\\n\\n    def __int__(self):\\n        return self.p // self.q\\n\\n    def __float__(self):\\n        return self.p / self.q\\n\\n    def __round__(self, digits = 0):\\n        return round(float(self), digits)\\n\\na, b, c, d = list(map(int, input().split()))\\nproduct = a * c\\nB1 = b * c\\nB2 = a * d\\nif B1 > B2:\\n    B1, B2 = B2, B1\\nans = Fraction(B2 - B1, B2)\\nans.reduce()\\nif ans != 0:\\n    print(abs(ans))\\nelse:\\n    print(\\\"0/1\\\")\\n\", \"import sys\\nfrom fractions import gcd\\nmy_file = sys.stdin\\n#my_file = open(\\\"input.txt\\\", \\\"r\\\")\\nline = [int(i) for i in my_file.readline().split()]\\na, b, c, d = line[0], line[1], line[2], line[3]\\nif a/b < c/d:\\n    N = (b*c) - (a*d)\\n    D = b*c\\nelse:\\n    N = (a*d)-(b*c)\\n    D = a*d\\n\\ndec = gcd(N,D)\\n\\nprint(N//dec, end=\\\"/\\\")\\nprint(D//dec)\", \"def gcd(a, b):\\n    while a % b != 0:\\n        a, b = b, a % b\\n    return b\\n\\nl = input().split(' ')\\na, b, c, d = int(l[0]), int(l[1]), int(l[2]), int(l[3])\\nif a * d > b * c:\\n    p = a * d - b * c\\n    q = a * d\\nelse:\\n    p = b * c - a * d\\n    q = b * c\\ne = gcd(p, q)\\np //= e\\nq //= e\\nprint(str(p) + \\\"/\\\" + str(q))\\n\", \"def gcd(a,b):\\n    while a!=b:\\n        if a>b:\\n            a=a-b\\n        else :\\n            b=b-a\\n    print(m//a,'/',n//a,sep='')\\na,b,c,d=map(int,input().split())\\nm=1\\nn=1\\n\\nif a==b:\\n    if c==d :\\n        print(0,'/',1,sep='')\\n    else :\\n        if c>d:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)\\nelse:\\n    if c/d ==a/b:\\n        print(0,'/',1)\\n    else :\\n        if c/d>a/b:\\n            m=b*c-a*d\\n            n=c*b\\n            gcd(m,n)\\n        else :\\n            m=a*d-c*b\\n            n=a*d           \\n            gcd(m,n)        \\n            \\n        \\n                 \\n\", \"def gcd(a, b):\\n    if(a % b == 0):\\n        return b\\n    return gcd(b, a%b)\\n\\na, b, c, d = list(map(int, input().split()))\\n\\na *= c * d\\nb *= c * d\\n\\nif a / c * d <= b:\\n    a = b - a / c * d\\n    g = gcd(a, b)\\n    print(str(int(a / g)) + '/' + str(int(b / g)))\\n\\nelse:\\n    b = a - b / d * c\\n    g = gcd(a, b)\\n    print(str(int(b / g)) + '/' + str(int(a / g)))\\n\", \"import fractions\\n\\na, b, c, d = list(map(int, input().split()))\\np = max(a * d, b * c) - min(a * d, b * c)\\nq = max(a * d, b * c)\\nx = fractions.gcd(p, q)\\nprint(str(p // x) + '/' + str(q // x))\\n\", \"from fractions import Fraction\\nwhile(1):\\n    try:\\n        a,b,c,d=list(map(int,input().split()))\\n        if a/b<c/d:\\n            ratio=0\\n        elif a/b==c/d:\\n            ratio=-1\\n        else:\\n            ratio=1\\n        if ratio==0:\\n            # ans=(bc-ad)/bc\\n            f=Fraction(b*c-a*d,b*c) \\n            print(\\\"%s\\\"%(f))            \\n        elif ratio==1:\\n             # ans=(ad-bc)/ad\\n            f=Fraction(a*d-b*c,a*d)\\n            print(\\\"%s\\\"%(f))\\n        else:\\n            print(\\\"0/1\\\")\\n    except EOFError:\\n        break\\n        \\n        \\n\", \"def gcd(a,b):\\n    if(a%b==0):return b;\\n    return gcd(b,a%b);\\ndef solve(a,b,p,q):\\n    c=a*p/gcd(a,p);\\n    b1=b*c/a;\\n    q1=q*c/p;\\n    if(b1>=q1):\\n        if(b1==q1):\\n            print(\\\"0/1\\\");\\n        else:\\n            d=gcd(b1-q1,b1);\\n            print(str(int((b1-q1)/d))+\\\"/\\\"+str(int(b1/d)));\\n        return True;\\n    return False;\\ndef __starting_point():\\n    a,b,p,q=map(int,input().split());\\n    if(not solve(a,b,p,q)):\\n        solve(b,a,q,p);\\n__starting_point()\", \"#!/usr/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\n# Author: Vitaly Pavlenko\\n\\nimport random\\nfrom fractions import gcd\\n\\n\\ndef average(x):\\n    return sum(x) / len(x)\\n\\n\\ndef shuffled(a):\\n    a = list(a)\\n    random.shuffle(a)\\n    return a\\n\\n\\ndef read_ints():\\n    return [int(i) for i in input().split()]\\n\\n\\ndef decrease(a):\\n    return [i - 1 for i in a]\\n\\n\\n\\n\\ndef main():\\n    # nonlocal input\\n    # nonlocal print\\n\\n    # fin = open('input.txt', 'r')\\n    # input = lambda: fin.readline().strip()\\n    # fout = open('output.txt', 'w')\\n    # _print = print\\n    # print = lambda *args, **kwargs: _print(*args, file=fout, **kwargs)\\n\\n    a, b, c, d = read_ints()\\n\\n    if a / b < c / d:\\n        a, b, c, d = b, a, d, c\\n\\n    p, q = a * d - c * b, b * d\\n    s, t = p, a * d\\n    print(s // gcd(s, t), t // gcd(s, t), sep='/')\\n\\n    # fout.close()\\n\\n\\ndef __starting_point():\\n    # import doctest\\n    # doctest.testmod()\\n    main()\\n__starting_point()\", \"from fractions import gcd\\n\\ndef Irreducible_Fraction(A,B):\\n    ''' Returns list of two integers representing the nominator and denominator of the Irreducible version of A/B '''\\n    x=gcd(A,B)\\n    return [A//x,B//x]\\n        \\n\\n\\n\\na,b,c,d=map(int,input().split())\\n\\n#Movie Frame Ratio:\\nF=a/b\\n\\n#Screen Ratio:\\nS=c/d\\n\\n\\n\\n#There are three case:\\n(a/b < c/d)\\n(a/b == c/d)\\n(a/b > c/d)\\n\\n\\n#Case 1:\\n#Frame's ratio is larger than screen ratio (c/d > a/b)\\n#This means that if both the screen and the movie had the same vertical length,\\n#The movie's horizontal length will be bigger which is not desired !\\n#So in this case, we will stretch the movie until it is the same horizontal length as the screen,( c -> a )\\n#And the movie's vertical length would be smaller than the screen's vertical length.( d < b )\\n#Stretching factor = a/c\\nif(a/b <c/d):\\n    stretching_factor=a/c\\n    #To avoid decimals which may result into an error while computing the fraction\\n    #We will multiply both the the new area and te screen area by c\\n    New_horizontal=a\\n    New_vertical=a*d #The multiplied c apears in ommiting the division by c in the stretching factor\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*c) #The multiplied c appears\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\\n\\n#Case 2:\\n#Frame's ratio is the same as the screen ratio (c/d == a/b)\\n#This means that we can stretch the movie till it is the same horizontal length as the screen,\\n#And the vertical length of the movie would be the same as the vertical length of the screen\\n#So The empty area will always be ZERO !\\n\\n\\nelif(a/b == c/d):\\n    print(\\\"0/1\\\")\\n\\n\\n#Case 3:\\n#Opposite to Case 1\\n#Frame's ratio is smaller than screen ratio (c/d > a/b)\\n#This means that the stretching process will end when the vertical length is the same for the screen and the frame\\n#While the horizontal length of the screen is bigger\\n#Stretching facto = b/d\\nelse:\\n    stretching_factor=b/d\\n    #To_avoid decimals, the same as case 1 was done !\\n    New_vertical=b\\n    New_horizontal=(b)*c\\n    New_Movie_Area=int(New_horizontal*New_vertical)\\n    Screen_Area=int(a*b*d)\\n    Empty_Area=Screen_Area-New_Movie_Area\\n    desired_ratio=Irreducible_Fraction(Empty_Area,Screen_Area)\\n    nominator=desired_ratio[0]\\n    denominator=desired_ratio[1]\\n    print(nominator,end=\\\"/\\\")\\n    print(denominator)\\n\", \"from fractions import Fraction\\n\\na, b, c, d = map(int, input().split())\\n\\nif a / c <= b / d:\\n  res = Fraction(b * c - a * d, b * c)\\nelse:\\n  res = Fraction(a * d - b * c, a * d)\\n\\nprint(\\\"{0}/{1}\\\".format(res.numerator, res.denominator))\", \"def check(t):\\n    if x==int(x):return True\\n    else:return False\\n\\ndef gcd(x,y):\\n    if x%y==0 :return y\\n    else: return gcd(y,x%y)\\na,b,c,d=list(map(int,input().split()))\\na*=max(c,d)\\nb*=max(c,d)\\nr=c/d\\nif a/b<r:\\n   x=b*c-a*d\\n   b=b*c\\n  \\n   \\n\\n   u=gcd(x,b)\\n   p=str(int(x/u))+'/'+str(int(b/u))\\n   print(p)\\n\\nelse:\\n    x=a*d-c*b\\n    a=a*d\\n    \\n\\n    u=gcd(x,a)\\n    p=str(int(x/u))+'/'+str(int(a/u))\\n    print(p)\\n\", \"def gcd(x, y):\\n    while x!=0:\\n        x,y = y%x,x\\n    return y\\n\\ndef main():\\n    a,b,c,d = [int(item) for item in input().split()]\\n    k1 = float(a)/float(b)\\n    k2 = float(c)/float(d)\\n    p = 0\\n    q = 1\\n    g = 0\\n\\n    if k1>k2:\\n        q = a*d\\n        p = q-b*c\\n        g = gcd(p,q)\\n    elif k1<k2:\\n        q = b*c\\n        p = q - a*d\\n        g = gcd(p, q)\\n\\n    if g>1:\\n        p = int(p / g)\\n        q = int(q / g)\\n\\n    print('{}/{}'.format(p, q))\\n\\nmain()\\n\", \"def gcd(a, b):\\n    c = a % b\\n    return gcd(b, c) if c else b\\n\\na, b, c, d = map(int, input().split())\\nif a * d < b * c: a, b, c, d = b, a, d, c\\np = a * d - b * c\\nq = d * a\\nt = gcd(p, q)\\n\\nprint(str(p // t) + '/' + str(q // t))\", \"from sys import stdin\\nfrom fractions import Fraction\\n\\n(a,b,c,d) = map(int, input().split());\\n\\ncd = Fraction(c, d)\\nab = Fraction(a, b)\\nf1 = Fraction(1, 1)\\n\\nif cd < ab:\\n\\tprint(f1 - Fraction(c * b, a * d))\\nelif cd > ab:\\n\\tprint(f1 - Fraction(a * d, c * b))\\nelse:\\n\\tprint(\\\"0/1\\\")\"]",
        "difficulty": "interview",
        "input": "603 938 804 871\n",
        "output": "17/56\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/337/B"
    },
    {
        "id": 189,
        "task_id": 1088,
        "test_case_id": 1,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "3 13\n3 2 7\n4 8 9\n1 6 5\n",
        "output": "12\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 190,
        "task_id": 1088,
        "test_case_id": 2,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "10 165\n82 94 21 65 28 22 61 80 81 79\n93 35 59 85 96 1 78 72 43 5\n12 15 97 49 69 53 18 73 6 58\n60 14 23 19 44 99 64 17 29 67\n24 39 56 92 88 7 48 75 36 91\n74 16 26 10 40 63 45 76 86 3\n9 66 42 84 38 51 25 2 33 41\n87 54 57 62 47 31 68 11 83 8\n46 27 55 70 52 98 20 77 89 34\n32 71 30 50 90 4 37 95 13 100\n",
        "output": "348179577\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 191,
        "task_id": 1088,
        "test_case_id": 3,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "1 1\n1\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 192,
        "task_id": 1088,
        "test_case_id": 4,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "1 2\n1\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 193,
        "task_id": 1088,
        "test_case_id": 5,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "44 3432\n1 45 89 133 177 221 265 155 353 397 441 485 529 573 617 661 705 749 793 837 881 925 969 159 1057 1101 1145 1189 1233 1277 1703 1365 1409 1453 1497 1541 1585 1629 1673 1717 1761 1805 1849 1893\n2 46 90 134 178 222 359 310 354 398 1880 486 530 574 618 662 706 750 794 838 882 926 970 1014 1058 1102 1146 12 567 1278 1322 495 1410 1815 1498 1542 1586 1630 1674 1718 1762 1806 1850 1894\n3 47 91 135 179 223 267 311 355 1053 443 487 531 575 1369 663 707 751 795 839 883 927 1632 1015 1059 1103 1147 1191 1235 1279 1323 1367 1411 1455 1499 1543 1587 1631 1787 1719 1763 1807 1851 1895\n937 48 1274 136 180 224 268 312 356 400 545 488 532 546 620 664 708 752 796 840 884 928 972 1016 1060 1104 1148 1854 1236 1280 913 1346 1412 1456 1500 1544 1588 971 1676 1720 1764 1808 1852 1896\n5 49 93 137 181 225 269 313 357 401 445 489 533 787 621 665 709 11 797 841 885 929 973 1017 1061 1105 873 1193 1237 1281 1325 619 1413 1457 1501 1553 1589 1633 1677 1721 1765 1809 1853 1897\n6 50 94 138 182 226 270 314 358 402 446 490 534 578 622 666 710 754 798 842 886 1184 974 1018 1062 1106 1150 1194 1238 1282 1326 1370 1414 1458 1502 1546 1590 1634 1678 1722 1766 1810 1192 1898\n7 51 95 139 183 227 271 315 266 403 447 491 535 579 623 667 1538 755 799 843 887 931 975 1019 1063 1107 1151 1195 500 1337 1327 1371 1117 1459 1503 1547 1591 1635 1679 1723 1767 1811 1855 1899\n8 52 96 140 184 228 272 386 360 404 448 492 536 580 624 668 712 756 800 844 888 932 976 1020 1064 1108 1152 1196 1240 1284 1328 1372 1416 1460 1504 1548 1592 1636 1680 1724 1768 1526 1856 1900\n915 53 97 141 185 229 273 317 361 405 449 493 537 581 625 669 713 757 801 845 889 1514 977 1021 1065 1109 1315 1197 1241 1285 1329 1373 1876 1461 1505 1549 1593 1637 1681 1725 1769 1813 208 1901\n10 54 98 142 186 230 696 318 362 171 450 494 538 582 626 670 714 758 802 846 1331 934 978 1022 1066 1110 1154 1198 1242 1791 1330 1374 1418 1462 828 1550 1594 1638 1682 1726 1770 1814 1858 1902\n74 55 99 143 1224 231 275 412 363 407 451 1366 539 583 627 671 715 759 803 847 891 935 979 858 1133 1111 1155 1199 1243 1287 890 1375 1419 1463 1507 1551 1595 1639 1683 672 1771 1454 1859 1903\n1190 56 100 144 1756 232 276 320 364 408 452 496 540 584 628 1727 716 760 804 848 892 936 980 1024 1068 1112 1156 1200 1244 1288 1332 1143 1420 1464 1508 1552 1596 1640 1684 1728 1772 1816 1860 1904\n13 57 101 145 189 233 277 321 365 409 453 1610 541 585 629 867 717 761 805 686 893 4 1729 1025 1069 1113 1157 1201 1245 1289 1333 1377 1421 1465 1509 1545 1597 1357 1685 981 1773 1817 1861 1905\n14 58 102 146 190 234 278 322 366 410 454 498 542 586 630 674 718 1622 806 906 894 938 753 1026 1070 1114 1158 1360 1246 1290 1334 1378 1422 1466 1510 1554 1598 1183 1686 1730 1774 1818 1862 1906\n15 59 103 147 191 235 279 323 367 411 455 499 543 587 631 675 719 763 872 851 895 939 983 1027 1071 1115 1159 1203 1247 1291 1335 1379 1423 1467 1511 1555 1599 1643 1687 1731 1775 1260 1863 1078\n16 60 104 148 192 236 280 324 368 319 456 1239 544 1691 632 676 720 764 808 852 896 940 984 1028 1072 1116 1564 1204 1248 1292 1336 1380 1424 1468 1512 1556 692 1644 1688 1732 1776 1820 1864 1908\n17 61 105 149 193 237 281 325 369 413 457 501 444 589 633 677 721 765 809 853 897 941 985 1029 1073 1415 1161 1205 1249 1293 1283 1381 1425 1469 1513 1557 1601 1645 1689 959 1777 1821 1865 1909\n18 62 106 150 194 238 282 326 370 414 458 502 576 590 634 678 722 766 810 854 898 942 986 1030 1074 1118 1162 1206 1250 1294 1338 158 1426 1470 1890 1558 1602 1646 1690 1734 1778 1822 917 1910\n19 63 107 1214 195 239 283 327 371 415 459 503 547 591 635 679 723 767 811 855 899 943 987 1031 1075 1119 1163 1207 1251 1295 1339 1383 1427 1471 1515 1559 1603 1647 588 1735 786 1823 1867 1911\n20 64 108 152 196 240 284 328 372 416 460 504 548 592 636 680 724 1878 812 856 900 944 988 1032 1076 1120 1164 1208 1252 1296 1340 1384 1428 1472 608 1160 1604 1345 1692 1736 1780 1824 1868 1912\n21 65 109 153 197 241 285 329 373 417 461 505 549 593 637 681 725 769 813 857 901 945 989 1033 1077 1121 1165 1209 733 1297 1341 1385 1429 1473 1517 1561 1605 1649 1693 1737 1399 1825 1869 1913\n22 66 1883 154 198 242 286 330 374 418 1430 506 550 594 638 682 726 770 814 1023 902 946 990 1034 1907 1122 1166 1210 1254 1298 1342 1386 462 1474 1518 1562 1606 1650 1694 1738 1782 1826 1870 1914\n23 67 111 309 199 243 287 331 375 419 463 507 551 595 639 683 727 771 815 859 903 947 991 1035 1079 1123 1167 1211 1255 1299 1343 1387 1431 1475 1519 1563 1607 1651 1695 1739 1783 1827 1871 1915\n24 68 112 156 200 244 288 332 376 420 464 508 552 655 640 562 728 772 816 860 904 948 992 1036 1080 1124 1168 1212 1256 1300 1344 1388 1432 1476 1520 1560 1608 1652 1696 1740 1784 1828 1872 1916\n25 69 113 157 201 245 289 333 377 421 465 509 553 597 641 685 729 773 817 780 905 949 993 1037 1081 1125 1169 1213 1257 1301 1648 1389 1433 1477 1521 1565 933 1653 1697 1741 1785 1829 1873 1917\n26 70 114 1382 202 246 290 334 378 422 466 510 554 598 642 849 730 774 818 862 850 950 994 1038 1082 1126 1170 151 1258 1302 1368 1390 1434 1478 1522 1566 497 1654 1698 1742 1786 1830 1874 1918\n27 71 115 1013 203 247 291 335 379 423 467 511 555 599 643 687 731 775 819 863 907 951 995 1039 1083 1127 1171 1215 1259 1303 1347 1391 1262 1479 1523 1567 1611 1655 1699 1743 1675 1831 1875 1919\n1187 72 116 160 204 248 292 336 380 424 1051 512 556 600 644 688 211 776 820 864 908 952 996 1040 1393 1128 1172 1216 1819 1304 1348 1392 1436 1480 1524 1568 702 1656 1700 1744 1788 1832 1417 1920\n29 73 117 161 205 249 293 337 381 425 469 513 557 601 645 689 1253 777 162 865 909 953 997 1041 1085 1129 1173 1217 1261 1305 1349 1084 1437 1481 1525 1569 1613 1657 1701 1745 1789 1833 1877 1921\n30 982 118 821 206 250 294 338 382 426 470 514 558 602 646 690 734 778 822 866 910 954 998 1042 1086 1130 1174 1218 1435 1306 1350 1394 1438 1482 1812 1570 1614 1658 1702 1746 1790 1834 768 1922\n31 75 119 163 207 251 295 339 383 427 471 515 559 603 647 691 735 779 823 673 711 955 999 1043 1087 1131 1175 1219 1263 1307 1351 1395 1439 1483 1527 1571 1615 1659 1321 1747 1286 1835 1879 1923\n32 76 120 164 1857 252 296 340 384 428 472 516 560 604 648 1600 736 861 824 868 912 956 1000 1044 1088 1132 1176 1220 1264 1308 1352 1396 1440 1484 1528 1572 1616 1660 1704 1748 1792 1836 442 1924\n33 77 121 165 209 253 297 341 385 429 473 517 561 605 649 693 737 781 825 869 1324 957 1001 1045 1089 1067 1177 1221 1265 1309 1353 1397 1441 1485 1529 1573 1617 1661 1705 1749 1793 656 1881 1925\n34 78 122 166 210 254 298 342 316 430 474 518 684 606 650 694 738 782 826 870 914 958 1002 1046 1090 1134 1178 1222 1266 1310 1354 1398 1442 1486 1530 1574 1618 1662 1706 1750 1794 1838 1882 1926\n35 79 123 167 732 255 299 343 387 431 475 519 563 607 651 695 739 783 827 871 9 1733 1003 1047 1091 1135 1179 1223 1267 1311 1355 1781 1443 1487 1531 1575 1619 1663 1707 1751 1576 1839 110 1927\n36 80 124 168 212 256 300 344 388 432 476 520 564 1516 1231 274 740 784 1506 807 916 960 1004 1048 1092 1136 1180 187 1268 1312 1356 1400 1444 1488 1532 1795 1620 1664 1708 1752 1796 1840 1884 1928\n37 81 125 169 213 257 301 1445 389 433 477 521 565 609 653 697 741 785 829 1149 1866 961 1005 1049 1093 1137 1181 1225 1269 1313 1641 1401 345 1489 1533 1577 1621 1665 1709 1753 1797 1841 1885 1929\n38 82 126 170 214 258 302 346 390 434 478 522 566 610 654 698 742 1779 830 874 918 962 1006 1050 1094 1138 1182 1226 1270 1314 1358 1402 1446 1490 1534 1578 762 1666 1710 1754 911 1842 1886 1930\n39 83 127 406 215 259 303 347 391 1447 479 523 1234 611 596 699 743 577 831 875 919 963 1007 468 1095 1139 1642 1227 1271 1153 1359 1403 435 1491 1535 1579 1623 1667 1711 1755 1799 1843 1887 1931\n40 84 128 172 216 260 304 348 392 436 480 524 568 612 1837 700 744 788 832 876 920 964 1008 1052 1096 1140 930 1228 1272 1316 1202 1404 1448 1492 1536 1580 1624 1668 1712 188 1800 1844 1888 1932\n41 85 129 173 217 261 305 349 393 437 481 525 569 613 657 701 745 789 833 877 921 965 1009 399 1097 1141 1185 1229 1273 1317 1361 1405 1449 1493 1537 1581 1625 1669 1713 1757 1801 1845 1889 1933\n42 86 130 174 218 394 306 350 262 438 482 526 570 614 658 1612 746 790 834 878 922 966 1010 1054 1098 1142 1186 1230 92 1318 1362 1406 1450 1494 1798 1582 1626 1670 1714 1758 1802 1846 1609 1934\n43 87 131 175 219 263 307 351 395 439 483 527 571 615 659 703 747 791 835 879 923 967 1011 1055 1099 1376 28 652 1275 1319 1363 1407 1451 1495 1539 1583 1848 1671 1715 1759 1803 1847 1891 1935\n44 88 132 176 220 264 308 352 396 440 484 528 572 616 660 704 748 792 836 880 924 968 1012 1056 1760 1144 1188 1232 1276 1320 1364 1408 1452 1496 1540 1584 1628 1672 1716 1100 1804 1627 1892 1936\n",
        "output": "376967120\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 194,
        "task_id": 1088,
        "test_case_id": 6,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "45 3643\n1 46 91 136 181 226 271 575 361 406 451 1902 541 586 631 676 721 92 811 856 901 946 991 36 1081 1126 1651 1216 1261 1306 1351 1396 1441 1486 1531 1576 1621 1666 1711 1756 1801 1846 1891 1936 1981\n2 47 766 137 182 227 272 317 362 407 452 497 542 587 632 677 722 767 812 857 902 947 992 1037 1082 1127 1172 1217 604 882 1352 1397 1442 1487 711 1577 1622 1667 1712 1757 1802 1847 1892 1937 1982\n950 48 93 138 183 228 273 318 363 408 453 498 543 619 633 678 723 768 813 858 903 948 993 1038 1083 1128 1173 1218 1263 1308 1353 1398 1443 1406 1533 1578 1623 1668 1713 1758 1803 1315 1893 1938 595\n4 49 94 139 184 229 274 319 364 409 454 499 544 589 634 679 724 769 814 859 904 949 994 1039 1084 1129 1174 1219 1264 1309 1354 1399 1444 1489 1534 1579 1624 1669 1714 1639 1804 1849 1894 1716 1984\n5 50 1124 140 185 230 275 320 365 410 135 500 545 590 1784 680 725 547 815 860 905 3 995 1040 1085 1130 1175 1220 1265 1310 1355 1400 1445 1490 1535 1580 1625 1670 1715 1760 1805 1850 1895 1940 1985\n6 51 96 141 186 231 276 321 366 411 456 501 546 591 771 1184 726 636 816 861 906 951 996 1041 1086 1131 1176 1221 1266 1683 1356 1401 1446 1491 1065 1581 1626 1671 1939 1761 1806 1851 1896 19 1986\n7 52 1977 142 187 232 277 322 367 412 457 502 770 592 637 682 727 772 817 862 907 952 997 1042 1087 1132 1177 1222 1267 1312 131 1402 1447 1492 1537 1582 1627 180 1717 1762 1807 1524 1897 1942 1987\n8 53 98 143 188 233 278 323 368 413 458 503 548 593 638 1200 728 773 818 2009 908 953 998 1043 1088 1133 1178 1223 1268 1313 1358 1403 1448 1493 1538 1583 1628 1673 1275 1763 1808 1853 1898 9 1988\n1943 54 99 144 189 234 279 324 1859 414 459 504 549 594 1514 684 729 774 819 864 909 954 999 1044 1089 1134 1179 1224 1269 1314 1359 1404 1449 1494 1539 1584 1629 1674 1719 1764 1809 1854 1899 1944 1989\n10 55 100 145 190 235 689 325 370 415 460 1160 550 1983 640 685 730 775 820 865 910 955 1000 1045 1090 1135 1180 1225 1270 1848 1360 1405 1450 1495 1540 1585 1630 1675 1720 1765 1810 1855 1900 1945 1990\n11 56 101 146 191 236 281 326 371 1047 588 506 551 596 641 686 731 776 821 866 97 956 2020 1046 1091 1136 1181 1226 1271 1316 1361 1488 1451 1496 1541 1586 1631 1676 1721 1682 1811 1856 1901 1946 1991\n12 57 102 147 192 1385 282 327 200 417 462 507 552 597 168 687 732 777 822 867 912 957 1002 416 1092 1137 1182 1227 1272 1317 1362 1407 1452 1206 1542 1587 1632 1677 1722 1767 762 1857 496 1947 1992\n13 58 853 148 193 238 283 328 373 825 463 508 553 598 643 688 733 778 823 868 913 958 1003 1048 1093 1138 1183 1228 1273 1318 1363 1408 1453 1498 626 1588 1633 1678 838 1768 1813 1858 1903 1948 1993\n14 59 104 153 194 239 284 329 374 419 464 509 554 599 644 280 734 779 824 869 914 959 1004 1049 1094 1139 681 1229 393 1319 1364 1912 1454 1499 1544 1589 1634 1679 1724 900 1814 369 1904 1949 1994\n15 60 105 150 195 240 285 330 375 420 465 510 555 600 645 690 735 780 418 870 915 960 1005 1050 1095 1140 1185 1230 1718 1320 1365 1410 1455 1500 1545 1590 1635 1680 1725 1770 1815 1860 1905 1950 1995\n16 61 106 151 196 241 286 331 450 421 968 511 556 601 646 691 736 781 826 871 916 961 1006 1051 524 1141 1186 1231 1276 1321 925 1411 1456 1501 1546 1591 1636 1681 1726 1771 1816 1861 1906 1951 1996\n17 62 107 152 197 242 287 332 377 422 467 512 557 602 647 692 737 1515 827 872 917 962 1007 1052 1097 1142 1187 1232 1277 1322 1367 1412 1457 1502 1547 1592 1637 1766 1727 1772 1817 1862 2011 1952 1997\n18 63 108 149 198 243 288 333 378 423 468 513 558 603 648 693 738 783 828 2006 918 963 1008 1053 1098 1143 1188 1438 1236 1323 1563 1413 1458 1503 1548 1593 1638 1311 1728 1773 1818 1863 1908 1953 1998\n1941 64 109 154 199 244 289 334 379 424 469 514 559 1262 649 694 739 784 829 874 919 964 1009 1054 1099 1144 1189 1234 1279 1324 1369 1414 1459 1504 1795 1024 1759 1684 1729 1774 1819 1864 1909 1954 1999\n20 65 110 155 372 245 290 335 380 425 470 515 560 605 650 695 740 785 830 875 920 965 1010 1055 1100 1145 1190 1235 1280 1325 1370 1415 1460 1505 1550 1595 1640 1685 1730 1775 1820 1865 1910 1955 2000\n21 66 111 156 201 246 291 177 381 426 471 516 561 606 651 696 741 786 831 876 921 966 1011 1056 1001 1146 1191 1278 1281 1326 1371 1416 1461 1506 1551 1596 1641 1686 1731 1745 1821 1866 1911 1956 2001\n22 67 112 157 202 247 292 1870 382 427 472 517 562 607 652 697 742 787 832 877 922 967 1012 1057 1102 1147 1192 1237 1282 1327 1372 1417 1462 1507 1552 1597 1642 1687 1732 1777 1822 1867 1409 523 2002\n23 68 159 158 203 248 293 338 383 428 473 518 563 608 653 1433 743 1555 833 878 1701 466 1013 1058 1103 1148 1193 1238 1283 1328 1373 1418 1463 1508 1553 1598 1643 1688 1733 1778 1823 1868 1913 1958 2003\n24 69 114 113 204 249 294 339 384 429 474 519 564 609 654 699 744 789 834 879 924 969 1014 1059 1104 1149 1194 1239 1284 1329 1374 1419 712 1509 1554 1599 1644 1689 1734 1779 1824 1869 1914 1959 2004\n25 70 115 160 205 250 295 340 385 430 475 520 565 610 655 700 745 790 835 880 1366 970 1015 1060 1105 1150 1195 1240 1285 1330 1375 1420 1465 1510 788 1600 1645 1690 1735 1780 1825 337 1915 1960 2005\n26 71 116 161 206 251 296 1917 386 431 476 521 566 611 656 701 746 791 836 881 926 971 1016 1061 1106 1151 1477 1241 1877 1331 1376 1782 1466 1078 1556 1601 1646 1691 1736 1781 1826 1871 1916 1961 873\n27 72 117 162 207 252 297 342 387 432 477 522 567 747 657 702 612 792 837 1066 927 972 1017 1062 1107 1152 1197 1242 1287 482 1377 1422 1467 1512 1557 1602 1647 1692 1737 1421 1827 1872 341 706 2007\n28 73 118 163 208 253 298 343 388 433 478 1957 568 613 658 703 748 793 1723 883 928 973 1018 1063 2008 1153 1198 1243 1288 1333 1378 1423 1468 1513 1558 1603 1648 1693 1738 1783 1828 1873 1918 1963 1108\n29 74 119 164 209 254 299 344 389 434 479 1096 569 614 659 704 749 794 839 884 929 974 1019 1064 1109 1154 1199 1244 1289 1334 1379 1424 1469 639 1559 1604 1649 1694 1739 635 1829 1874 1919 1964 863\n30 75 120 165 210 255 300 345 390 435 710 525 570 615 660 705 750 795 840 885 930 975 1020 1536 1110 1155 683 1245 1565 1335 1380 1425 1470 782 1560 1605 1650 1695 1740 1785 1830 1875 1920 1965 2010\n31 76 121 166 211 256 301 346 391 436 481 526 571 616 661 1962 751 796 841 260 931 976 1021 1307 1111 1156 1201 1246 1291 1336 1381 1426 1471 1516 1561 1606 1171 1696 1741 1786 1831 1876 1921 1966 1907\n32 77 122 167 212 257 302 347 392 437 1332 527 572 617 662 707 752 797 842 887 932 977 1022 1067 1112 1157 1202 1247 1292 1337 1382 1427 1472 1517 1562 1607 1652 1697 1742 1787 1832 1286 1922 1967 2012\n33 78 807 642 213 258 303 348 1274 438 483 528 573 618 663 708 495 798 843 888 933 978 1023 1068 1113 1158 1203 1248 1293 1338 1383 1428 1473 1518 1368 1608 1653 1698 1743 1788 1833 1878 1923 1968 2013\n34 79 124 169 214 259 304 349 394 439 484 529 574 461 664 709 754 799 844 889 934 979 1594 1069 1114 1159 1204 1249 1294 1339 1384 1429 1474 42 1564 1609 1654 1699 1744 1789 1834 1879 1924 1969 2014\n35 1341 125 170 215 886 305 350 395 440 485 530 316 620 665 480 755 800 1790 890 935 980 1025 1070 1115 505 1205 1250 1295 1340 237 1430 1475 1520 1290 1610 1655 1700 1776 845 1835 1880 1925 1970 2015\n1036 81 126 171 216 261 306 351 396 441 486 531 576 621 666 1532 756 801 846 891 936 981 1026 1071 1116 1161 1497 1251 1296 1209 1386 1431 1476 1521 1566 1611 1656 923 1746 1791 1836 1881 1926 1971 2016\n37 82 127 172 217 262 307 352 397 442 487 532 577 622 667 1464 757 802 847 892 937 982 1027 1072 1117 1162 1207 1252 1297 1342 1387 1432 1196 1522 1567 1612 1657 1702 1747 1792 1837 1882 1927 1972 2017\n38 83 128 173 314 263 308 1074 398 443 488 533 578 623 668 713 758 803 848 893 938 983 1028 1073 1118 178 1208 1253 1298 1343 1388 698 1478 1523 1568 1613 1658 1703 1748 1793 1838 1883 1928 1973 2018\n39 84 129 174 219 264 1031 354 399 444 489 534 579 624 669 714 759 804 849 894 939 1076 1029 353 1119 1164 80 1254 1299 1344 1389 1434 1479 1852 1569 1614 1659 1704 1749 1794 1839 1884 1929 1974 2019\n40 85 130 175 220 265 310 355 400 445 490 535 580 625 670 715 760 805 850 895 940 985 1030 1075 1120 1165 1210 1255 1300 1345 1390 1435 1480 1525 1570 1615 1660 1705 1750 1549 1840 1885 1930 1975 1101\n41 86 1357 176 221 266 311 356 401 446 491 536 581 1543 671 716 761 806 851 896 941 986 309 984 1121 1166 1211 1256 1301 1346 1391 1436 1481 1526 1571 1616 1661 1706 1751 1796 1841 1886 1931 1976 2021\n1519 87 132 336 222 267 312 357 402 447 492 537 582 627 672 717 1812 123 852 897 942 987 1032 1077 1122 1167 1212 1257 1302 1347 1392 1437 1482 1527 1572 1617 1662 1707 1752 1797 1842 1887 1932 911 2022\n43 88 133 1163 223 268 313 358 403 448 493 538 583 628 673 718 763 808 103 898 943 988 1033 1511 1123 1168 1213 1258 1303 1348 1393 1233 1483 1528 1573 1618 1663 1708 1753 1798 1843 1888 1933 1978 2023\n44 89 134 179 224 269 218 359 404 449 494 539 584 629 674 719 764 809 854 899 944 989 1034 1079 95 1169 1214 1259 1304 1349 1394 1439 1484 1529 1574 1619 1664 1709 1754 1799 1844 1889 1934 1979 2024\n45 90 455 1672 225 270 315 360 405 376 753 540 585 630 675 720 765 810 855 1769 945 990 1035 1080 1125 1170 1215 1260 1305 1350 1395 1440 1485 1530 1575 1620 1665 1710 1755 1800 1845 1890 1935 1980 2025\n",
        "output": "958442747\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 195,
        "task_id": 1088,
        "test_case_id": 7,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "47 3015\n1 48 95 142 189 236 283 330 377 424 1846 518 565 612 659 706 753 758 1802 894 941 988 1035 1082 1129 1176 1223 1270 1317 1364 1411 1458 1505 1552 1599 1646 1693 1740 1787 1834 1319 1928 1975 2022 2069 1947 2163\n237 49 96 143 190 2 284 331 378 425 472 519 566 613 660 564 754 801 848 895 942 989 1036 1083 1130 1177 1224 1271 1318 1365 1412 1459 1506 1553 1600 1647 1694 1741 1788 1835 1882 1929 1976 2023 2070 2117 2164\n3 50 97 144 358 238 623 597 379 426 473 5 567 614 900 708 755 802 849 896 943 990 1037 1084 1131 1178 1225 1272 1881 1366 1413 1067 1507 1554 1601 1722 1695 1742 1789 1836 1883 1930 1977 1545 2071 2118 2165\n4 51 98 145 192 239 286 333 380 427 474 521 568 615 662 709 756 1355 850 897 944 991 1038 1564 1737 1179 1226 313 1320 1367 995 1461 1508 1555 1602 1649 1696 1884 1790 1837 1743 1931 1978 2025 2072 2119 2166\n520 52 99 146 193 240 287 334 2007 428 475 522 569 616 663 710 757 804 851 898 945 1773 1039 1086 1133 1180 1227 890 1321 1368 1415 1462 1509 1556 1603 1650 1697 1744 1791 1838 1885 1932 1979 2026 2073 2120 2167\n6 53 2173 147 194 241 288 335 382 429 2115 523 570 617 664 711 800 805 852 899 946 993 1040 1087 1134 1181 1228 1275 1322 1778 1416 1463 1510 1557 1604 1651 1698 1745 1792 1839 1886 1933 1980 2027 2074 2121 64\n7 54 101 148 195 2170 289 1474 383 779 477 524 571 618 665 712 759 1094 853 661 947 292 1041 1088 1135 1182 1229 562 1323 1370 1417 1464 1511 1558 1605 1652 1699 1746 1793 1840 1887 1934 1981 2092 2075 2122 2169\n8 55 102 149 196 243 290 337 384 431 478 525 572 619 666 713 760 807 854 901 948 1414 1042 1089 1136 1183 1230 1277 1324 1371 1418 1465 1512 1559 1606 1653 1700 1769 1794 1841 1888 1935 1982 2029 2076 1305 242\n9 56 933 150 197 244 291 338 385 432 479 526 573 620 667 714 761 808 855 902 949 996 1043 1090 1137 1184 1231 1278 1325 1372 1419 1466 1513 1560 1607 1654 1701 1748 1795 1842 1901 1936 1983 2030 2077 2124 2171\n10 732 104 151 198 245 1708 339 386 433 480 527 574 621 668 1420 762 809 856 903 950 997 1044 1091 1138 1185 1232 1830 1326 1373 715 1467 1514 1049 1608 1655 1702 1749 1796 1843 1890 1937 1984 2031 2078 2125 2172\n11 58 105 152 199 246 293 340 387 434 481 528 575 622 669 716 763 810 857 904 951 998 1045 1092 1139 1186 1233 1280 1327 1374 1421 1468 1515 1562 1609 1656 1703 1750 1797 1844 1891 1938 1985 2032 2079 2126 100\n12 59 106 153 200 247 294 341 388 435 482 529 576 285 670 717 764 1689 858 905 952 999 1046 1093 1140 1187 1234 1281 1328 1375 1422 1469 1516 1563 1610 1657 1704 1751 1798 1845 1892 1939 1986 2033 2080 2127 1668\n13 60 107 154 201 248 295 342 389 608 559 530 577 624 671 718 765 812 859 906 953 1000 1047 806 1634 1188 1235 1282 1329 1376 1423 1470 1517 1085 1611 1658 1705 1752 1799 471 1893 1940 1987 2034 2081 2128 2175\n14 33 108 155 202 249 296 343 390 437 484 531 578 353 672 719 766 813 860 907 954 1001 1048 1095 1142 1189 1236 1283 1330 1377 1424 1471 1518 1565 1612 1659 1706 1753 1800 1847 1894 1941 1988 2035 2082 2129 2176\n15 62 109 156 203 250 297 344 391 438 485 532 579 2107 673 720 767 814 861 908 955 1002 1561 1096 1143 1190 1237 1284 1331 1378 1425 1472 1519 1566 1613 1660 1707 1754 1801 1848 1895 1942 1989 2036 2083 2130 402\n16 1686 110 157 204 251 298 345 392 439 486 533 580 627 674 1206 768 815 862 909 956 1003 1050 1097 2108 1191 1238 1285 1332 1379 1426 1473 1520 1567 1614 1661 994 1755 847 1849 1896 1943 1990 2037 2084 2131 2178\n17 2168 111 158 205 252 299 346 393 440 487 534 581 628 675 722 769 816 863 910 1339 1004 1051 1098 1145 1192 1239 1286 1333 1380 1427 336 1521 1568 1615 1662 1709 1756 1803 1850 1897 1944 1991 2038 2085 2132 2179\n18 65 112 502 206 253 300 347 394 441 488 535 582 629 557 723 770 817 864 911 958 1005 1052 1099 1259 1193 1240 789 1334 1381 259 1475 1522 1569 1616 1663 1710 1757 1804 1851 1898 1945 1992 2039 2086 2133 2180\n19 66 113 160 207 254 301 117 395 442 489 536 583 630 677 724 771 818 865 912 959 1006 1053 1100 1147 1194 1241 1288 1335 1382 1429 1476 1523 1570 1617 1664 1711 1758 1805 1852 1899 1946 213 2040 2087 2134 2181\n20 67 1199 161 208 255 302 349 396 443 490 537 584 631 678 725 772 819 866 913 960 1007 1054 1101 1497 1195 1242 1289 1336 1383 1430 1477 1524 1571 1618 1665 1712 1759 1806 1487 1900 2116 1994 2041 2088 2135 2182\n21 68 115 162 209 256 303 350 397 444 491 538 585 632 679 726 773 820 867 914 961 1008 1055 89 1070 1196 1243 1290 1337 1384 1018 1478 1525 1572 1619 1666 1713 1760 1807 1854 1889 1948 1995 2042 2089 1342 2183\n22 69 116 163 210 257 304 351 398 445 492 539 586 633 680 727 774 821 868 915 962 1009 1056 1103 1150 1197 1244 1291 1338 1385 1432 1479 1526 1573 1620 1667 741 1761 1808 1855 1902 1949 1996 2043 2090 2137 2184\n2192 70 348 164 211 258 305 352 399 446 493 838 587 634 681 728 775 822 869 1021 1868 1010 1057 1104 1151 1198 1245 1292 957 1386 1433 1480 1527 1574 1621 2174 1715 1762 1809 1856 1903 1950 1997 2044 2091 2138 2185\n24 71 992 165 212 1428 306 1221 400 447 494 541 588 635 682 729 776 823 870 917 964 1011 1058 1105 1152 114 1246 1293 1340 1387 1434 1481 1528 1575 1622 1669 1716 1763 1810 1857 1904 1951 1998 2045 2028 2139 1210\n25 72 119 166 1993 260 307 354 401 448 495 542 589 636 683 730 777 824 871 918 965 1012 1059 1106 1153 1200 1247 1294 1341 1388 1435 1482 1529 1576 1623 1670 1717 1764 1811 1858 1905 1952 459 2046 2093 2140 2187\n26 73 120 167 214 261 308 355 2177 1031 496 543 590 637 684 546 778 825 872 919 966 1013 1060 1107 1154 1201 1729 1295 2136 1389 1436 1483 1530 1577 1624 1671 1718 1765 1812 1859 1906 1953 2000 2047 2094 2141 2188\n27 74 121 168 215 262 702 356 403 450 497 544 591 638 685 57 430 826 873 920 967 1014 1061 1108 1155 1202 1249 1296 1343 1390 1437 1484 1531 1578 1625 1672 1719 1766 1813 1860 1907 1954 2001 2048 2095 2142 2189\n28 75 122 169 216 263 2105 357 404 451 498 545 592 639 686 733 780 827 874 921 968 1015 1062 1109 1156 1203 1250 1297 1344 1391 1438 1485 1532 1579 1626 1673 316 1767 1814 2015 1908 1955 2002 2049 2096 2143 2190\n29 76 123 170 217 264 311 191 405 452 499 731 593 500 687 734 781 828 875 922 969 1016 1063 1110 1157 1204 1251 1298 1345 1392 1439 1486 1533 1580 1627 1674 1721 1768 1815 1862 1909 1956 1169 2050 2097 2144 2191\n30 77 124 171 218 265 312 359 406 453 640 547 594 641 688 735 782 829 876 923 970 1017 1064 981 1158 1205 1252 1299 1346 1393 1440 1853 1534 1581 1628 1675 1648 1747 1816 1863 1910 1957 2004 2051 2098 2145 23\n31 78 125 172 219 266 1273 360 407 454 501 548 595 642 689 736 783 830 877 924 971 1431 1065 507 1159 721 1253 1300 1347 1394 1441 1488 1535 1582 1629 1676 1723 1770 1817 1864 1911 1958 2005 2052 2099 2146 2193\n32 79 126 173 220 267 314 361 408 455 159 549 596 643 690 737 784 831 878 925 972 1019 1066 1113 1160 1207 1254 1301 1348 1395 1442 1489 1536 1583 1630 1677 1724 1771 1818 1865 1912 1959 2006 2053 2100 2147 2194\n61 80 127 174 221 268 315 362 409 456 503 550 332 644 691 738 785 832 879 926 973 1020 1460 1114 1161 1208 1255 1302 1349 1396 1443 1490 1537 1584 1631 1678 1725 1772 1256 1866 1913 1960 381 2054 2101 2148 2195\n34 81 128 175 222 269 1720 363 410 457 504 551 598 645 692 739 786 833 880 927 974 916 1068 1115 1162 1209 1819 1303 1350 1397 1444 1491 1538 1585 1632 1679 1726 118 1820 1867 1914 1961 2056 2055 2102 2149 2196\n35 82 129 176 223 270 317 364 411 458 505 552 599 646 693 740 787 932 881 928 975 1022 1069 1116 1163 2186 1257 1304 310 1398 1445 1492 1539 1586 1633 1680 1727 1774 1821 963 1915 1962 2009 2008 2103 2065 2197\n36 83 130 177 224 271 318 365 412 1999 506 553 600 647 694 1714 788 835 882 929 976 1023 1149 1117 1164 1211 1258 2123 1352 1399 1446 1493 1540 1587 1141 1681 1728 1775 1822 1869 1916 1963 2010 2057 2104 2151 2198\n37 84 131 178 225 272 319 366 413 460 1112 554 601 648 695 742 1287 836 883 930 977 1024 1071 1118 1165 1212 1146 1306 1353 1400 1447 1494 1541 1588 1635 1682 1248 1776 1823 1870 1917 1964 2011 2058 1351 2152 2199\n38 85 132 179 226 273 320 367 414 461 508 555 602 649 696 743 790 837 884 931 978 1025 1072 1119 1166 1213 1260 1307 1354 1401 1448 1495 1542 1589 1636 1683 1730 1777 1824 1871 1918 1965 2012 2059 2106 2153 2200\n39 86 133 180 227 274 321 368 415 462 509 556 603 650 697 744 791 540 885 834 979 1026 1073 1120 1167 1214 1261 1308 803 1402 1449 1496 1543 1590 1637 1684 1731 1369 1825 1872 1919 1966 2013 2060 626 2154 2201\n40 87 134 181 228 275 322 369 416 463 510 676 604 651 698 745 792 839 886 103 980 1027 1074 1121 1168 1215 1262 1309 1356 1403 1450 1148 1544 1591 1638 1685 1732 1779 1826 1873 1920 1967 2014 2061 1144 2155 2202\n41 88 135 182 229 276 323 370 417 464 511 558 605 652 699 746 793 840 887 934 1111 1028 1075 1122 2003 1216 1263 1310 1357 1404 1451 1498 2024 1592 1639 63 1733 1780 1827 1874 1921 1968 1861 2062 2109 658 2203\n42 1102 136 183 230 277 324 371 1034 465 512 1081 606 653 700 747 794 841 888 935 982 1029 1076 1123 1170 1217 1264 1311 1358 1405 1452 1499 1546 1593 1640 1687 1734 1781 1828 1875 1922 1969 2016 2063 2110 2157 2204\n43 90 137 184 231 278 325 372 281 466 513 560 607 654 701 748 795 842 889 936 983 1030 1077 1124 1171 1218 1265 1312 1359 1406 1453 1500 1547 1594 1641 1688 1735 1782 1829 1876 1923 1970 2017 2064 2111 2158 2205\n44 91 138 185 232 279 326 373 420 467 514 561 436 655 309 749 796 843 1274 937 984 449 1078 1125 1172 1219 1266 1313 1360 1407 1454 1501 1548 1595 1642 811 1736 1783 1279 1877 1924 1971 2018 2150 2112 2159 2206\n45 92 139 186 233 280 327 374 421 468 515 1276 609 656 703 750 797 844 891 938 985 1032 1079 1126 1173 1220 1267 1314 1361 1408 1455 1502 1549 1596 1643 1690 1132 1784 1831 1878 1925 1972 2019 2066 2113 2160 2207\n46 93 140 187 234 419 328 375 422 469 516 563 610 657 704 751 798 845 892 939 986 1033 1080 1127 1174 625 1268 1315 1362 1409 1456 1503 1550 1597 1644 1691 1738 1785 1832 1879 1926 1973 2020 2067 2114 2161 2208\n47 94 141 188 235 282 329 376 423 470 517 707 611 2156 705 752 799 846 893 940 987 418 483 1128 1175 1222 1269 1316 1363 1410 1457 1504 1551 1598 1645 1692 1739 1786 1833 1880 1927 1974 2021 2068 476 2162 2209\n",
        "output": "631819933\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 196,
        "task_id": 1088,
        "test_case_id": 8,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "40 2959\n1 41 81 121 537 201 241 281 321 361 401 1227 481 521 561 601 641 681 721 761 801 665 881 921 961 1001 1041 1081 1121 855 1201 1241 1281 1321 1361 1520 1441 1481 1521 1561\n2 891 82 525 162 202 242 282 322 362 402 442 482 522 562 602 642 682 722 762 802 842 994 922 962 1002 1042 1082 1122 1162 1202 1242 1282 1322 1362 1402 1442 1482 1522 1562\n1090 43 83 123 163 203 243 283 323 363 403 443 483 523 563 603 643 795 723 763 803 843 883 923 963 1003 1043 1083 1123 1163 1184 1243 1283 1323 236 1403 1443 1483 1523 1563\n4 44 84 124 394 204 244 284 324 364 404 444 484 524 564 604 644 799 724 1097 804 844 418 924 964 1068 1044 1084 1124 1164 264 1244 1284 1324 1364 1404 1444 1484 1524 1564\n5 45 85 125 165 205 245 285 325 365 405 445 485 122 565 605 645 685 725 765 805 1249 885 925 965 1005 1045 1085 1125 1165 1205 93 1285 1325 718 1405 1445 1485 1525 1565\n6 46 86 126 166 206 246 286 326 1496 406 446 486 944 566 606 646 686 936 1109 806 846 143 926 966 1006 1046 1086 188 1166 1206 39 1286 1326 1366 1406 351 1486 1526 1566\n7 47 456 127 167 207 247 287 327 367 407 447 487 527 567 607 647 687 727 767 807 847 887 927 967 1007 1047 1087 1127 1167 1207 1247 1287 1327 1367 689 1447 1487 1527 1567\n8 48 88 128 168 208 248 288 328 368 408 448 488 398 568 608 648 688 728 768 808 848 888 928 968 1008 1048 1088 1128 1168 1208 1248 1288 309 1368 1408 1448 1488 1528 1568\n9 49 89 129 169 311 249 289 329 369 409 449 489 529 569 609 649 1407 729 769 809 849 889 929 969 1009 1049 1089 1129 1169 1209 216 1092 1329 1369 1409 1449 1489 1529 1569\n10 50 90 130 1262 176 250 290 330 370 410 450 490 530 570 610 650 690 730 770 810 850 890 930 970 1010 1050 3 1130 1170 1210 31 1290 1330 1370 1410 1450 1490 1530 1154\n11 51 91 131 171 211 251 291 331 371 411 451 491 531 571 611 651 691 731 771 811 851 42 931 971 1011 1051 191 1131 1171 1211 1251 1291 387 1371 1411 1451 1491 1531 220\n12 52 92 132 172 212 252 292 332 372 412 452 492 532 572 612 652 692 732 547 812 852 892 586 972 1012 1052 1289 1132 1172 1212 1252 137 30 1372 1412 1452 1492 1532 1572\n13 53 1064 133 173 213 253 293 333 373 413 453 493 533 573 613 653 693 733 773 813 853 893 933 973 1013 1053 1093 1133 1173 1213 1253 1293 1333 1373 1413 1453 1493 1533 1573\n14 54 94 134 174 214 254 294 419 374 414 1268 494 534 574 614 654 694 734 774 814 854 894 1547 974 1014 1054 1094 1134 1174 1214 1254 1294 1334 1374 1414 180 1494 1534 1574\n15 55 95 135 175 215 255 295 335 375 415 455 495 535 575 615 655 695 735 775 32 1161 1556 935 1397 1015 1055 1095 1135 1175 1215 1255 1295 1335 1375 1415 1455 1495 1535 1575\n16 56 96 136 210 473 256 296 336 376 416 87 138 536 576 616 656 696 698 776 816 856 896 726 976 1016 1056 1096 1136 1176 1216 1256 1296 1336 1376 1515 1456 366 1536 1576\n17 57 97 1477 177 1583 257 297 340 377 417 457 497 161 577 617 657 697 737 777 817 857 897 937 977 1017 701 764 1137 1177 1217 1257 1297 1337 1377 1417 1457 1497 1537 1577\n18 58 98 496 178 218 258 298 338 378 884 458 498 440 578 618 658 736 738 778 818 858 1328 938 978 1018 1058 1098 1138 1178 1218 1258 948 1338 1378 1418 1458 1498 1538 65\n19 59 99 139 179 219 259 299 339 379 334 270 499 539 579 619 190 699 739 779 819 859 899 939 979 1019 1059 1099 1139 1179 1219 1259 1299 1339 70 1419 1459 1499 1539 1579\n20 60 100 140 1454 1571 260 300 337 380 420 460 1072 540 580 620 660 700 740 160 820 860 900 940 980 1020 1060 1100 1140 1180 1220 1260 1300 1340 1380 1420 1460 1500 1540 1580\n21 61 101 141 181 221 261 301 33 1039 421 461 501 659 581 621 661 1057 741 781 821 861 901 941 981 1021 1061 587 1141 1181 1221 1261 1301 1341 1381 1421 1461 1501 1541 1581\n22 62 102 142 182 222 262 302 1148 382 422 462 502 542 582 622 662 702 742 782 822 862 902 942 982 1022 1062 1102 1142 1182 1222 170 1302 1342 1382 1422 1462 1502 217 1582\n23 63 871 886 183 223 263 303 343 383 423 463 1275 543 583 623 663 703 743 783 823 863 903 943 983 1023 1063 1103 1143 1183 1223 1263 1303 1343 1383 1423 1463 1503 1543 1542\n24 64 104 144 184 224 1204 304 344 384 424 464 504 544 584 624 664 704 744 784 824 864 904 526 984 1024 1245 1104 1144 1203 1224 1264 1304 1344 1384 990 1464 1504 431 1584\n25 1578 105 145 185 225 265 305 345 385 538 465 505 545 585 625 841 705 745 785 825 865 905 945 985 313 1065 1105 1145 1185 1225 1265 1305 1345 1385 1425 599 1505 1545 1585\n26 66 106 146 186 226 266 815 346 386 426 466 506 546 932 275 666 706 746 786 826 866 906 946 986 1026 1066 1106 1146 1186 1226 1266 1306 1346 1386 1426 1466 1506 787 1586\n27 67 107 147 187 227 267 307 347 1331 427 467 507 772 1101 627 667 707 747 1546 827 867 907 947 987 1027 1067 1107 1147 1187 441 1267 1307 1347 1387 1427 1467 1507 934 1587\n28 68 108 148 1126 228 268 308 348 388 428 468 508 548 588 628 668 708 748 788 828 868 908 1298 988 1028 1004 1108 149 1188 1228 454 1308 1348 1388 1428 1468 1508 1548 1588\n29 69 109 277 189 229 269 898 349 389 429 469 509 549 589 629 669 709 749 789 829 869 909 949 989 1029 1069 766 1149 1189 1229 1269 1309 1349 1389 1429 1469 1509 1549 1589\n1332 1379 110 150 1197 230 459 310 350 1280 430 470 510 550 590 630 670 710 750 1550 830 870 910 950 1424 1030 1070 1110 1150 1190 1230 1270 1310 1350 1390 1430 1470 1510 790 1590\n1250 71 111 151 1091 231 271 1025 1446 391 1544 471 511 551 591 631 671 711 751 791 831 103 911 951 991 1031 1071 1111 1151 1191 1231 1271 1311 1351 1391 1431 1471 1511 1551 1591\n306 72 112 152 192 232 272 312 975 392 432 472 512 552 592 632 672 712 752 792 832 872 912 952 992 1032 500 1112 1152 1192 1232 1272 1312 1352 1392 1432 1472 1512 1552 1592\n341 73 113 153 193 233 273 209 353 393 433 845 513 553 593 633 673 713 753 793 833 873 913 953 993 1033 1073 1113 1153 1193 1233 1273 1313 1353 1393 1433 1473 1513 1553 1593\n34 74 114 154 194 234 274 314 354 164 434 474 514 554 594 634 674 342 754 794 834 874 914 954 882 1034 1074 1114 1570 1194 1234 1274 1314 1354 1394 1434 1474 381 1554 1594\n35 75 115 1276 195 235 626 315 355 395 435 475 515 1278 595 635 675 715 755 683 835 875 915 955 995 1035 1075 1115 1155 1195 1235 503 1315 1355 1395 1435 1475 1416 1555 1595\n36 1277 116 156 196 1363 276 316 356 396 436 476 516 556 596 636 676 716 756 796 836 876 916 956 996 1036 1076 1116 1156 1196 1236 155 1316 1356 1396 1436 1476 1516 895 1596\n37 77 117 157 197 237 714 317 357 397 437 477 517 557 597 637 677 717 757 797 837 877 917 957 997 1037 1077 1117 1157 541 1237 76 1317 1357 352 1437 1292 1517 1557 1597\n38 78 118 158 198 238 278 318 358 528 438 478 518 558 598 638 678 1365 758 798 838 878 918 958 998 1038 1078 1118 1158 1198 1238 555 1318 1358 1398 1438 1478 1518 1558 1598\n1246 79 119 159 199 239 279 319 359 399 439 479 519 559 1465 639 679 719 759 684 839 879 919 959 999 1514 1079 1119 1159 1199 1239 1279 1319 1359 1399 1439 1479 1519 1559 1599\n40 80 120 780 200 240 280 320 360 400 425 480 520 560 600 640 680 720 760 800 840 880 920 960 1000 1040 1080 1120 1160 1200 1240 390 1320 1360 1400 1440 1480 1401 1560 1600\n",
        "output": "504900914\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 197,
        "task_id": 1088,
        "test_case_id": 9,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "43 3578\n1 1563 87 130 173 661 259 302 345 1190 431 474 517 560 85 646 689 732 775 818 861 1359 947 990 1033 1076 1119 1162 1205 1248 1291 1334 1377 1420 1463 1506 1549 1592 1635 1678 1721 1764 1807\n2 45 88 131 174 217 260 303 346 389 432 475 235 561 1246 647 690 733 776 819 862 905 948 991 1034 1077 1120 1163 1206 1249 1292 1335 1378 1421 1464 1507 1550 1593 1636 1679 1722 1765 1808\n3 46 89 132 175 218 261 304 347 390 433 476 519 562 605 648 691 734 777 820 863 906 949 992 1035 1078 1121 1164 1207 1250 1293 1336 1379 1422 1465 1508 1551 1594 1637 1680 1723 964 154\n4 47 90 133 176 219 262 305 348 391 434 477 520 563 606 649 692 735 778 821 864 907 950 993 1036 1079 1122 1165 1208 1251 1294 1337 1380 1322 1466 1509 1552 1595 1638 1681 1724 1767 1810\n5 48 91 134 177 220 263 306 349 392 435 478 521 564 607 650 693 736 779 822 865 908 951 994 1037 1080 1123 412 1209 1252 579 1338 1381 1510 1467 1424 1553 1596 1639 1682 1725 318 1811\n6 49 92 1216 178 221 264 307 350 393 436 479 84 565 608 711 694 737 780 823 866 909 952 995 1038 1081 1124 1167 1210 1253 1296 1339 1382 1425 1468 1515 1554 1597 1640 1683 1726 1307 888\n7 50 93 136 291 222 1763 308 351 394 437 754 523 566 856 1317 695 738 781 824 867 910 953 1512 1039 1082 1125 1168 385 1254 808 1340 1383 1426 1052 996 1555 1598 1641 1684 1727 1770 1813\n8 51 94 137 180 223 266 309 352 395 438 481 524 56 610 653 696 739 782 825 868 911 954 997 1483 1083 1126 1169 584 1255 1298 1341 1384 1427 1137 1513 1613 1599 1642 354 1728 1771 1814\n9 52 95 138 181 224 267 310 353 1470 439 482 525 568 611 654 697 740 1362 826 869 912 955 998 1041 1084 1127 1170 1213 1256 1299 1342 1385 1428 1471 1514 1557 1600 1643 1686 1729 1772 1815\n10 53 96 139 182 225 268 311 1685 397 440 483 526 569 612 655 698 741 784 827 1556 913 956 999 1042 1085 1128 1171 443 1257 1300 1343 1802 1429 1472 1511 1558 1601 1644 1687 1730 1773 1816\n11 54 97 140 183 226 269 1631 355 398 441 484 527 570 613 656 699 742 785 828 871 914 215 1000 1043 1086 1129 1172 547 1258 1301 1344 1387 1430 1473 1516 1559 588 1645 1688 1731 1774 1817\n12 55 98 141 184 227 270 313 356 399 442 485 528 571 614 657 700 743 786 829 103 915 958 1348 1044 1087 1130 1173 135 1259 1302 1345 1388 1431 1474 1517 1560 1603 1646 1689 1732 1775 1818\n13 567 99 142 185 228 271 314 357 400 1214 486 529 514 192 658 701 1697 787 830 873 916 959 1002 1045 1088 1131 1174 1217 1260 1303 1346 1389 1432 1475 1518 1561 1604 1647 1690 1733 1776 1819\n1221 57 100 143 186 229 272 315 358 401 444 487 530 573 616 659 702 745 788 831 874 917 960 1003 1046 1089 1132 1175 232 1261 1304 1347 513 1433 1476 1519 1562 1605 1648 1691 1734 1777 1820\n15 58 101 144 187 230 273 316 359 402 445 488 531 574 617 660 703 746 789 832 875 918 961 1004 1047 1090 1133 1176 1219 1262 1305 1001 1391 1434 1477 1520 339 1606 1649 1692 1735 1778 1821\n16 59 102 145 188 231 200 843 360 403 446 489 532 575 618 216 704 1199 790 833 1193 919 962 1005 1048 1091 1134 1177 1220 1263 1306 1349 1392 1435 1478 1521 1564 1607 1650 1693 1736 1779 1587\n17 60 872 146 189 280 275 1768 361 404 447 490 533 576 619 662 705 748 791 834 877 920 963 1006 1049 1092 1135 1178 124 1264 1769 1350 1393 1436 1479 1522 1565 1608 1651 1694 1737 1780 1823\n18 61 104 147 190 233 276 319 362 405 939 491 534 1582 620 663 706 749 792 835 878 921 1766 1007 1050 1093 1622 1179 1222 1265 1308 1351 1394 1437 1480 1523 1566 1609 1652 1695 1738 1781 1824\n19 62 63 148 191 234 277 472 363 406 449 492 535 578 621 664 1634 750 793 836 879 922 965 1008 1051 1094 396 1180 1223 1266 1309 1352 1028 1438 1481 1524 1567 1610 1653 1696 1739 1782 1825\n20 105 106 149 615 518 278 321 364 407 450 493 536 1295 622 665 708 751 794 837 880 923 966 1009 1469 1095 1138 1181 1224 1267 1310 1353 1396 1439 1482 1525 1568 1611 1654 744 1740 1783 1826\n715 64 107 150 193 883 279 322 365 408 451 494 537 580 623 666 709 752 384 838 557 924 967 1010 1053 1096 1139 1182 1225 1268 1311 1354 1397 1440 1040 1526 1569 1612 1655 1698 1741 1784 1827\n22 65 108 151 1583 237 1218 323 366 409 452 495 897 581 624 667 710 1105 796 839 882 925 968 1011 1054 1097 1140 1183 1226 1269 1312 1355 1398 941 1484 1527 1570 870 1656 1537 1742 1785 1828\n23 66 109 152 195 238 281 324 367 410 453 496 539 603 625 668 651 1197 797 840 236 926 969 1012 1055 1098 1141 1184 1227 1270 1313 1356 1399 1442 1485 1528 1571 1614 1657 1700 1743 1786 1829\n24 67 110 153 196 683 1204 325 368 411 454 497 540 583 626 669 712 755 798 841 884 927 970 1013 1056 1099 1142 1185 1228 1271 1314 1357 1400 1443 1486 1529 1572 1615 1658 1701 1744 1787 1830\n25 68 111 1809 197 240 283 326 369 1166 1331 498 541 1212 627 670 713 756 799 842 885 928 971 1014 1057 1100 1143 1186 1229 1272 1315 1358 1401 1444 1624 1530 1573 1616 1659 1702 1745 1788 1831\n26 69 112 155 198 241 284 327 370 413 1663 499 1413 673 628 671 714 757 800 317 886 274 972 1015 1058 1101 1144 1187 1230 1273 1316 904 1402 1445 1488 1531 1574 1617 1660 1703 1746 1789 1832\n27 70 113 156 199 242 285 328 371 414 457 500 543 586 629 672 21 758 801 844 887 930 973 1016 1059 1102 1145 1188 1231 1274 652 1360 1403 1446 1489 1532 1575 1075 1661 1704 1747 1790 1833\n28 71 114 157 929 243 286 329 372 415 458 501 544 587 630 585 716 759 802 845 1812 931 974 1017 1060 1103 1146 1189 1232 1275 1318 1361 1404 1447 1490 1533 1576 1619 1662 1705 1748 1791 1834\n29 686 115 158 201 244 287 330 373 416 459 502 545 1602 1589 674 717 760 803 846 889 932 975 1018 1061 1104 1147 388 1233 1276 1319 783 1405 1448 1491 1534 1577 1620 986 1112 1749 1792 1835\n30 73 116 159 202 245 288 331 374 417 460 503 546 589 632 675 718 761 804 900 890 933 976 1019 1062 753 1148 1191 1234 1277 1320 1363 1406 1449 1492 1535 1578 1621 1664 1707 1750 469 1836\n31 74 117 160 203 246 289 1793 375 418 461 504 1215 590 633 676 719 762 805 848 891 934 977 1020 1063 1106 1149 1192 1235 1278 1321 1364 1407 1450 1493 1536 1579 1136 1665 1708 1751 1794 1837\n32 75 118 161 204 247 290 333 376 419 462 505 548 591 634 677 720 763 1674 849 892 935 978 1021 1064 1107 1150 876 1236 1279 1423 1365 1408 1451 725 1699 1580 1623 1666 1709 1752 1795 1838\n33 76 119 162 205 248 179 334 377 420 463 506 549 592 635 678 721 764 1074 850 893 936 979 1022 1065 1108 1151 1194 1237 1280 1323 1366 1409 1452 1495 1538 1581 1487 1667 1710 1753 1796 1839\n34 77 120 163 206 249 292 335 378 421 464 507 550 593 636 679 722 765 1297 851 894 937 980 1023 1066 1109 1152 1195 1238 1281 1324 1367 1410 1453 1496 1539 577 1625 1668 1711 1754 1797 1840\n35 78 121 164 207 250 293 336 379 422 465 508 551 594 1670 680 723 766 809 852 895 938 981 1024 1067 1110 1153 1196 1239 1282 1325 682 1411 1454 1497 1540 194 1626 1669 1712 1591 1798 1841\n36 79 122 165 208 251 294 337 380 423 466 509 552 595 638 681 724 767 810 853 896 448 982 1025 1068 1111 1154 480 1240 1283 1326 1369 1412 1455 1498 1541 1584 1627 637 1713 1756 1799 1842\n37 80 123 166 209 252 295 338 381 424 467 510 553 596 639 1368 1494 768 811 854 538 940 983 1026 1069 1706 1155 1198 1241 1284 1327 1370 542 1456 1499 1542 1585 1628 1671 1714 1757 1800 1843\n38 81 14 167 210 253 296 44 382 425 468 511 554 597 640 239 726 769 812 855 898 1441 984 1027 1070 1113 1156 747 1242 1285 1328 1371 1414 1457 1500 1543 1586 1629 1672 1715 1758 1801 1844\n39 82 125 168 211 254 297 340 383 426 332 512 555 598 641 684 727 770 813 609 899 942 985 1395 1071 1114 1157 1200 1243 1286 1329 1372 1415 1458 1501 1544 1822 1630 1673 1716 1759 1386 1845\n40 83 126 169 212 255 298 341 795 427 470 1390 556 599 642 685 728 771 814 857 847 943 456 1029 1072 1115 1158 1201 1244 1287 1330 1373 1416 1459 1502 1545 1588 312 806 1717 1760 1803 1846\n41 522 127 170 213 256 299 342 1211 428 471 572 881 600 643 72 729 772 815 858 901 944 987 1030 1073 1116 1159 1202 1245 1288 455 1374 1417 1460 1503 1546 631 1632 1675 1718 1761 1804 1847\n42 582 128 171 214 257 300 343 386 429 320 515 558 601 644 687 730 773 816 859 902 945 988 1031 807 1117 1160 1203 604 1289 1332 1375 1418 1461 1504 1547 1590 1633 1676 1719 1762 1805 1848\n43 86 129 172 957 258 301 344 387 430 473 516 559 602 645 688 731 774 817 860 903 946 989 1032 1618 1118 1161 282 1247 1290 1333 1376 1419 1462 1505 1548 1755 707 1677 1720 265 1806 1849\n",
        "output": "827660031\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 198,
        "task_id": 1088,
        "test_case_id": 10,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "49 4643\n1 50 99 148 197 246 295 344 393 442 491 540 589 638 687 736 785 834 883 932 981 1030 1079 1128 1177 1226 1275 1324 1373 1422 1471 1520 1569 1618 1667 1716 1765 1814 1863 1912 1961 2010 2059 2108 2157 2185 2255 2304 2353\n2 51 742 149 198 247 296 345 394 443 1148 541 590 639 688 737 786 835 1431 933 982 1031 1080 1129 1178 1227 1276 1325 1374 1423 1472 1521 1570 1619 1668 1717 1766 1815 1864 1913 1962 2011 2060 1028 2158 2207 2256 2305 2354\n3 52 101 150 199 248 297 346 395 444 493 542 591 640 689 738 787 836 885 934 983 1032 1081 1130 1179 1228 1277 1326 1375 1424 767 1522 1571 1620 1669 1718 1767 1816 1865 1914 1963 2012 2061 2110 2159 2208 2257 1341 2355\n4 53 102 151 200 249 298 347 396 445 494 543 592 641 690 739 788 837 886 935 984 1033 1082 1131 1180 1229 1278 1327 1376 1425 1474 1523 1572 1621 1670 1719 1768 1817 1866 1915 1964 2013 2062 2111 2160 2209 2258 2307 2356\n5 54 1536 152 2369 250 299 348 397 446 495 544 762 642 691 740 789 838 887 936 985 1034 1083 1132 1181 1230 1279 1328 1377 1426 1475 1691 1573 1622 1671 1720 1769 1818 1867 1916 1965 2014 1888 2112 2161 1904 2259 2308 1852\n6 1005 104 153 202 251 300 349 398 447 496 545 594 643 692 741 790 839 1380 937 986 1035 1084 1133 1182 1231 1280 2327 1378 1427 1476 1733 1574 1623 1672 2289 1770 1819 1868 1917 1966 2015 2064 2113 2162 2211 2260 2309 137\n7 56 105 154 203 252 301 350 399 448 497 546 595 644 693 2206 791 840 889 938 987 1036 1085 1134 1183 1232 1281 1330 1379 1428 1477 1526 1575 1624 1673 1722 1771 1820 2302 1918 1967 2016 2065 2114 2163 2212 2261 2310 2359\n8 57 106 155 204 1463 302 351 400 449 498 547 596 645 694 743 792 841 890 939 988 1037 1086 1135 1184 1233 1282 1331 888 1429 1478 1527 1576 1625 1674 2115 1772 1821 1870 1919 1968 2017 2066 1723 2164 2213 2262 2311 2360\n1104 58 107 39 205 254 303 352 401 450 776 548 597 646 695 744 793 842 891 940 989 1038 1087 1136 1185 1234 1283 1332 1381 1430 1479 1528 1577 1626 1675 1724 1773 1822 1871 652 1969 2018 2067 2116 667 2214 2263 2312 2361\n10 2196 108 157 206 255 304 292 854 451 500 549 598 647 696 745 794 843 892 941 990 1039 1088 1137 1186 1235 1284 1586 1382 884 1480 1529 1578 1627 1676 1725 1774 1823 1872 1921 1970 2019 2068 2117 2166 2215 2264 2313 2362\n11 60 109 158 207 256 305 354 403 452 501 550 599 648 697 746 795 844 893 942 991 1040 1089 1138 1187 1236 1285 1124 1383 1432 1481 1530 1579 1628 1677 1726 1775 1824 1873 1922 1971 2020 672 2118 2167 2216 2265 2314 2363\n12 61 110 159 208 257 306 355 404 453 502 551 600 649 698 747 796 845 1310 943 992 1041 1090 1139 1188 1237 1286 1335 1384 233 1482 1531 1580 1629 1678 1727 1776 1825 1874 1923 1972 2021 2070 2119 2168 2217 2266 2315 2364\n13 62 111 160 209 258 307 356 405 454 503 552 601 650 2287 748 797 846 895 944 993 1042 1091 1140 1189 1238 1287 1336 1385 1434 1483 1532 1581 1630 1679 1728 1470 1826 1875 1924 1973 2022 2071 2120 2169 2218 2267 2316 2365\n14 63 112 161 210 259 308 357 406 455 504 553 602 651 700 749 798 847 896 945 994 1043 1092 1141 1190 1239 1288 1337 1386 1435 266 180 1582 1631 1680 1729 1778 1827 1876 1925 1974 2023 2072 2121 2170 2219 2268 2317 2366\n15 64 113 162 211 260 309 358 126 456 505 554 603 1920 701 666 799 848 897 946 995 1044 1093 1142 1544 1240 1289 1338 1387 1436 1485 1534 1583 1632 1681 1730 509 1828 1877 1926 1975 2024 2073 2122 2171 2220 2269 2318 2367\n16 65 114 163 212 261 310 359 408 457 506 555 604 653 702 751 800 849 898 947 996 1045 1094 1143 874 1241 1290 1339 1388 1437 1486 1535 1584 1633 1682 1731 1780 1829 1878 1927 1976 2025 2074 2123 2172 2221 2270 860 2368\n17 66 115 164 213 262 311 360 409 458 507 556 605 654 703 752 801 624 899 948 997 1046 1095 1144 1193 1242 1291 1340 1389 1438 1487 103 1585 1634 1683 1732 1781 1830 729 1928 1977 2026 2075 2124 2173 2222 2271 2320 201\n18 67 116 165 214 263 312 361 410 459 508 1394 606 655 704 753 802 851 900 949 998 1047 1096 1145 1194 1243 1292 2306 1390 1439 1488 1537 1333 1635 1684 1525 1782 1831 1880 1929 1978 2027 2076 2125 2174 2223 2272 2321 2370\n19 68 117 166 215 264 313 362 411 460 1779 558 959 656 705 754 803 852 901 950 999 1048 1097 1146 1195 1244 1293 1342 1391 1440 1489 1538 1587 1636 1685 1734 1783 1352 1881 1930 1979 2028 2077 2126 2175 2224 2273 2322 2371\n20 69 118 167 216 265 314 363 412 461 510 559 608 657 706 755 804 853 902 951 1000 1049 1098 1147 1196 1245 1294 1163 1392 1441 1490 1539 1588 1637 1686 2286 1784 1833 1882 1931 1980 2029 2078 2127 2176 2225 2274 2323 2372\n21 70 119 168 217 1484 315 364 413 2143 511 560 609 658 707 756 805 402 903 952 1001 1050 1099 492 1197 1246 1295 1344 1393 1442 1491 1540 1589 1638 1687 1736 1785 1834 1883 1932 1981 2030 2079 2128 2177 2226 2275 1748 2373\n22 2192 120 169 218 267 316 365 2089 463 512 561 610 659 708 757 806 855 904 953 1002 1051 1100 1149 1198 1247 565 1345 557 1443 1492 1541 1590 1639 1688 1708 1786 1835 817 1933 1982 2031 2080 2129 570 2227 2276 2325 2374\n23 72 121 170 219 268 317 366 415 464 513 562 611 660 709 758 807 856 905 954 2348 1052 1101 1315 1199 1248 1297 1346 1395 1444 1493 1542 1591 1640 1689 1738 1787 367 1885 1934 1983 2032 2081 2130 2179 2228 2277 2326 2375\n24 73 122 171 220 269 318 1836 416 465 1984 563 612 661 710 629 808 857 423 955 1004 1053 1102 1151 1200 1249 1298 1347 1396 1445 1494 1543 1592 1641 1690 1739 1788 1837 1886 1935 514 2033 2082 2131 2180 2229 2278 1329 2376\n876 74 123 172 221 270 319 368 417 466 515 564 613 662 711 760 809 858 907 1259 55 1054 1103 1986 1201 1250 1299 1348 1397 1446 1495 1191 1593 1642 1524 1740 1789 1838 1887 1936 1985 1600 2083 2132 2181 2230 2279 2328 2377\n26 75 124 173 222 271 320 369 418 467 516 1296 614 663 712 761 810 859 908 957 1006 1055 9 1153 1202 1120 1300 1349 1398 1447 1496 1545 1594 1643 1692 1741 1790 1839 2063 1937 1152 2035 2084 2133 2182 2231 2280 2329 2378\n27 76 125 174 223 272 321 370 419 468 517 566 615 664 713 593 811 2319 909 958 1007 1056 1105 1154 1203 1252 1301 1350 1399 1448 1497 1546 1595 1644 1693 1742 1791 1840 1889 1938 1750 2036 2085 681 2183 2232 2281 2330 528\n28 77 407 175 224 273 322 371 420 1165 518 567 616 665 714 763 812 861 910 607 1008 1057 1106 1155 1204 1253 1302 1351 1400 1449 1498 1547 1596 1645 1694 1743 2145 1841 1890 1939 1988 2037 2086 2135 2184 2233 2282 2331 2380\n29 78 127 176 225 274 323 372 421 470 519 568 617 750 715 764 813 862 911 960 1009 1058 1107 1156 1205 1254 1303 1832 1401 1450 1499 1548 1597 1646 1695 1744 1793 1842 1891 1940 1989 2038 2087 2136 100 2234 2283 2332 2381\n30 79 128 177 226 275 324 373 422 471 520 569 618 2165 716 765 814 863 912 961 1010 1059 1108 1157 1206 1255 1304 1353 1402 1451 1500 1549 1598 1647 1696 1745 1794 1843 1892 1941 1990 2039 2088 2137 2186 2235 2284 2333 2382\n31 80 1758 178 227 276 325 374 906 472 1067 2178 619 668 717 766 815 864 2249 962 1011 1060 1109 1158 1207 1256 1305 1354 1403 1452 1501 1550 1599 1648 1697 1746 1795 1844 1893 621 1991 2040 414 2138 2187 2236 2285 2334 2383\n32 81 130 179 228 277 326 375 424 473 522 571 620 669 718 1473 816 865 914 963 1012 1061 1110 1159 1208 1257 1306 1355 1404 1453 1502 2253 2034 1649 1698 1747 1796 1845 1894 1943 1992 2041 2090 2139 2188 2237 1735 2335 1018\n33 82 131 1533 229 278 327 376 425 474 523 572 1942 670 719 2294 1884 866 915 964 1013 1062 1111 1160 1209 1258 1307 1356 1405 1454 1503 1552 1601 1650 1699 2324 1797 1846 1895 1944 1993 2042 2091 2140 2189 2238 699 2336 2385\n34 83 132 181 230 279 328 377 426 475 524 573 622 671 720 769 818 867 916 965 1014 1063 1112 1161 1210 956 1308 1357 1406 1455 1504 1553 1602 1651 1700 1749 1798 1847 1896 1945 1994 2043 2092 2141 2190 2239 2288 2337 2386\n35 84 133 182 231 280 329 378 427 476 525 574 623 2069 721 770 819 1020 917 966 1015 1064 1113 1162 1211 1260 1309 1358 1407 1456 1505 1554 1603 1652 1420 1987 1799 1848 1897 1946 1995 2044 2093 2142 2191 2240 1721 2338 2387\n36 85 134 183 232 281 330 379 428 477 526 575 1854 673 722 771 820 869 918 967 1016 536 1114 1343 1212 1261 894 392 1408 1457 1363 1555 1604 1653 1702 1751 1800 1849 1898 1947 1996 2045 2094 462 71 2241 2290 2339 2388\n37 86 135 184 1563 282 331 380 429 478 527 576 625 674 723 772 821 870 919 968 1017 1066 1115 1164 1213 1262 1311 1360 1409 1953 1507 1556 1605 1654 1703 1752 1801 1850 1899 1948 1997 2046 2095 2144 2193 2242 2291 2340 2389\n38 87 136 185 234 283 332 381 430 479 2379 577 626 675 724 773 822 871 920 969 2384 521 1116 469 1214 1263 1312 1361 1410 1459 1508 1557 1606 1655 1704 1753 1802 1851 1900 1949 1998 2047 2096 1792 2194 2243 2292 2341 2390\n156 88 2358 186 235 284 333 382 431 480 529 578 627 676 725 774 823 872 921 970 1019 1068 1117 1166 1215 1264 1313 1362 1411 1460 1509 1558 1607 1656 1705 1754 1803 2357 1901 1950 1999 2048 2097 2146 2195 2244 2293 2342 2391\n40 89 138 187 236 285 334 383 432 481 530 95 628 677 726 775 824 873 922 971 868 1069 1118 1167 1216 1265 1314 1506 1412 1461 1510 1559 1608 1657 1706 1755 1804 1853 1902 1951 2000 2049 2098 2147 59 2245 768 2343 2392\n41 90 139 188 237 286 335 384 433 482 531 580 759 678 727 499 825 1192 923 972 1021 1070 1119 1168 1217 1266 1150 1364 1413 1462 1511 1560 1609 1658 1707 1756 1805 850 1903 1952 2001 2050 2099 2148 2197 2246 2295 2344 2393\n42 91 140 189 238 287 336 385 434 483 532 581 630 679 728 777 826 875 924 973 1022 1071 1251 1169 1218 1267 1316 1365 1414 253 1512 1561 1610 1659 1737 1757 1806 1855 2210 1458 2002 2051 2100 2149 2198 2247 2296 2345 2394\n43 49 141 190 913 288 337 386 435 484 533 582 631 680 1879 778 827 1469 925 974 1023 1072 1121 1170 1219 1268 1317 1366 1415 1464 1513 1562 1611 1660 1709 129 1807 1856 1905 1954 2003 534 2101 2150 2199 2248 2297 2346 2395\n44 93 142 191 240 289 1433 387 436 485 2052 583 632 2134 730 779 828 877 926 975 1024 1073 1122 1171 1220 1269 1318 1367 1416 1465 1514 338 1612 1661 1710 1759 1808 1857 1906 1955 2004 2053 2102 2151 2200 239 2298 2347 2396\n45 94 143 192 241 290 339 388 437 486 535 584 538 682 731 780 829 878 927 976 1025 1074 1123 1172 1221 1270 1319 1368 1417 1466 1515 1564 1613 1662 1711 1760 1809 1858 1907 1956 2005 2054 2103 2152 2201 2250 2299 1003 2397\n46 579 144 193 242 291 340 389 438 487 1065 585 634 683 732 781 830 879 928 977 1026 1075 1334 1173 1222 1271 1320 1369 1418 1467 1516 1565 1614 1663 1712 1761 1810 1859 1908 1957 2006 2055 2104 2153 2202 2251 2300 2349 2398\n47 96 145 194 243 353 341 390 439 488 537 586 635 684 733 782 831 880 929 978 1027 1076 1125 1174 1223 1272 1321 1370 1419 1468 1517 1566 1615 1664 1713 1762 1811 1860 1909 1958 2007 2056 2105 2154 2203 2252 2301 2350 2399\n48 97 146 195 244 293 342 391 440 489 633 587 636 685 734 783 832 881 930 979 2109 1077 1126 1175 1224 1273 1322 1371 1701 25 1518 1567 1616 1665 1714 1763 1812 1861 1910 1959 2008 2057 2106 2155 2204 1551 1869 2351 2400\n92 98 147 196 245 294 343 1359 441 490 539 588 637 686 735 784 833 882 931 980 1029 1078 1127 1176 1225 1274 1323 1372 1421 1777 1519 1568 1617 1666 1715 1764 1813 1862 1911 1960 2009 2058 2107 2156 2205 2254 2303 2352 2401\n",
        "output": "540447840\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 199,
        "task_id": 1088,
        "test_case_id": 11,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "45 3598\n1166 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 804 23 24 25 26 1127 28 29 30 31 32 33 236 35 36 37 38 39 40 41 42 43 44 45\n46 1718 48 49 50 51 52 53 423 55 393 57 58 59 60 61 62 63 97 65 66 67 68 69 70 71 72 73 74 1124 76 77 78 79 80 81 82 147 84 85 86 87 88 89 1112\n91 92 93 94 95 96 64 98 99 100 101 102 103 104 105 106 1556 108 109 110 111 112 113 114 115 116 1983 118 119 1451 121 122 123 124 204 126 127 128 129 345 131 132 133 134 135\n136 288 138 139 140 141 142 143 1141 145 146 83 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180\n181 182 183 292 185 186 187 188 189 190 191 192 193 194 195 196 197 1800 199 200 1378 202 203 125 205 206 207 208 209 210 211 212 213 214 215 216 217 919 219 220 221 222 223 224 225\n671 227 228 229 230 231 1816 233 234 235 34 237 238 239 240 241 242 243 244 245 1858 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 1089 268 269 270\n271 272 273 969 275 1392 277 278 279 280 281 282 283 284 285 286 287 137 289 290 291 184 293 753 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 868 315\n316 317 318 319 320 321 322 323 1381 325 326 327 328 329 330 331 332 333 334 1683 336 337 338 1777 340 341 342 343 344 130 346 347 348 349 350 351 352 353 1051 355 356 357 1658 359 360\n361 362 363 364 365 366 367 368 369 370 1267 372 373 374 375 376 377 378 379 1848 381 382 383 384 1609 386 387 388 389 390 391 392 56 394 395 396 397 398 399 400 401 458 403 404 405\n406 407 408 409 410 1275 412 413 414 415 416 417 418 419 420 421 422 54 424 425 426 427 428 429 681 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450\n451 452 453 454 455 456 457 402 459 460 461 462 463 464 465 1985 467 468 469 470 471 472 473 474 1842 476 477 478 479 480 481 482 483 484 485 635 487 488 489 490 491 492 493 494 495\n496 497 498 499 500 1146 502 1954 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540\n758 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 934 558 559 883 561 562 1122 564 565 1376 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 775\n586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 1072 611 612 613 614 615 2025 617 618 619 620 621 622 623 624 625 626 627 628 629 630\n1990 632 633 634 486 636 637 638 639 640 641 642 643 644 645 1877 647 648 649 1970 651 652 1860 232 999 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 226 672 673 674 675\n676 677 678 679 680 430 682 683 747 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720\n721 722 723 724 725 726 727 1571 729 730 899 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 684 748 749 750 751 752 294 754 755 756 757 541 759 760 761 762 763 764 765\n766 767 768 769 770 771 772 773 774 585 776 777 778 779 780 781 1656 783 784 785 786 787 788 789 790 791 1414 793 794 795 796 797 798 799 800 801 802 803 22 805 806 807 808 809 810\n1071 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 1880 828 829 830 831 929 833 951 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855\n856 857 858 859 860 861 862 863 864 865 866 867 314 869 870 871 872 873 874 875 876 877 878 879 880 881 882 560 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 731 900\n901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 218 920 921 922 1475 924 925 926 927 928 1490 930 931 1317 933 557 935 936 937 938 939 1279 941 942 943 1583 945\n946 947 948 949 950 834 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 968 274 970 971 972 973 974 1154 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990\n991 992 993 994 995 996 997 998 655 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035\n1036 1037 1038 1039 1040 1041 1082 1043 1044 1045 1046 1047 1048 1049 1050 354 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064 1065 1066 1067 1068 1069 1070 811 610 1073 1074 1075 1076 1077 1078 1079 1644\n1081 1042 1083 1084 1085 1086 1087 1088 267 1090 1091 1092 1093 1726 1095 1096 1097 1098 1099 1100 1101 1972 1103 1104 1105 1106 1107 1108 1109 1110 1111 90 1113 1114 1115 1116 1117 1118 1119 1120 1121 563 1123 75 1125\n1126 1174 1128 1129 1130 1131 1132 1133 1134 1135 1136 1137 1138 1139 1140 144 1142 1143 1144 1145 501 1147 1148 1149 1150 1151 1152 1153 975 1155 1156 1157 1158 1159 1160 1161 1162 1163 1164 1165 1495 1167 1168 1169 1170\n1171 1172 1173 27 1175 117 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1624 1215\n1216 1217 1218 1219 1220 1221 1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260\n1261 1262 1263 1264 1265 1266 371 1268 1269 1270 1271 1272 1273 1274 1635 1276 1277 1278 940 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305\n1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 932 1318 1319 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1526 1331 1332 1333 1334 1335 1336 1337 1338 1339 1340 1341 1342 1989 1344 1345 1346 1347 1348 1349 1350\n1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361 1362 1363 1364 1365 1366 1367 1368 1369 1370 1371 1372 1373 1374 1375 566 1377 201 1379 1380 324 1382 1383 1384 1385 1386 1387 1388 1389 1390 1391 276 1393 1394 1395\n1396 1397 1398 1399 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1413 792 1415 1416 1432 1418 1419 1420 1421 1422 1423 1424 1425 1426 1427 1428 1429 1430 1431 1417 1433 1434 1435 1436 1437 1533 1439 1440\n1441 1442 1443 1444 1445 1446 1447 1448 1449 1450 120 1452 1453 1878 1455 1456 1457 1458 1459 1460 1461 1462 1463 1464 1465 1466 1467 1468 1469 1470 1471 1472 1473 1474 923 1476 1477 1478 1479 1480 1481 1482 1483 1814 1485\n1486 1487 1488 1489 832 1491 1492 1214 1494 1875 1496 1497 1498 1499 1500 1501 1969 1503 1504 1505 1506 1507 1508 1509 1510 1511 1512 1513 1514 1515 1516 1517 1518 1519 1520 1521 1522 1523 1524 1525 1330 1527 1528 1529 1530\n1531 1532 1438 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1701 1548 1549 1550 1551 1552 1553 1554 1555 107 1557 1558 1559 1560 1561 1562 1563 1564 1565 1566 1567 1568 1569 1570 728 1724 1573 1574 1575\n1576 1577 1578 1579 1580 1581 1582 944 1584 1585 1586 1587 1588 1589 1590 1591 1592 1593 1594 1595 1596 1597 1598 1599 1600 1601 1602 1603 1604 1605 1613 1607 1608 385 1610 1611 1612 1606 1614 1615 1616 1617 1618 1619 1620\n1621 1622 1623 1493 1625 1626 654 1628 1629 1630 1631 1632 1633 1634 411 1636 1637 1638 1639 1640 1641 1642 1643 1080 1645 1646 1647 1648 1649 1650 1651 1652 1653 1654 1655 782 1657 358 1659 1660 1661 1662 1663 1664 1665\n1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678 1679 1680 1681 1682 335 1684 1685 1686 1687 1688 1689 1690 1691 1692 1693 1694 1695 1696 1697 1698 1699 1700 1547 1702 1703 1704 1705 1706 1707 1708 1709 1710\n1711 1712 1713 1714 1715 1716 1717 47 1719 1720 1721 1722 1723 1572 1725 1094 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 1739 1740 1741 1742 1743 1744 1745 1746 1747 1748 1749 1750 1751 1752 1753 1754 1755\n1756 1757 1758 1759 1760 1761 1762 1763 1764 1765 1766 1767 1768 1769 1770 1771 1772 1773 1774 1775 1776 339 1778 1779 1780 1781 1782 1783 1784 1785 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 198\n1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1484 1815 1627 1817 1818 1819 1820 1821 1822 1823 475 1825 1826 1996 1828 1829 1830 1831 2012 1833 1834 1835 1836 1837 1838 1839 1840 1841 1824 1843 1844 1845\n1846 1847 380 1849 1850 1851 1852 1853 1854 1855 1856 1857 246 1859 653 1861 1862 1863 1864 1865 1866 1867 1868 1869 1870 1871 1872 1873 1874 1 1876 646 1454 1879 827 1881 1882 1883 1884 1885 1886 1887 1888 1889 1890\n1891 1892 1893 1894 1895 1896 1897 1898 1899 1900 1901 1902 1903 1904 1905 1906 1907 1908 1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 1920 1921 1922 1923 1924 1925 1926 1927 1928 1929 1930 1931 1932 1933 1934 1935\n1936 1937 1938 1939 1940 1941 1942 1943 1944 1945 1946 1947 1948 1949 1950 1951 1952 1953 503 1955 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1502 650 1971 1102 1973 1974 1975 1976 1977 1978 1979 1980\n1981 1982 1176 1984 466 1986 1987 1988 1343 631 1991 1992 1993 1994 1995 1827 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 1832 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 616\n",
        "output": "991610752\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 200,
        "task_id": 1088,
        "test_case_id": 12,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "44 955\n144 1303 830 309 793 387 1559 935 90 691 1002 44 584 1560 162 554 1265 865 1514 894 880 1638 1127 1277 409 1802 1317 134 883 1070 1715 617 1683 28 969 237 666 1428 1353 1650 952 667 1243 829\n1274 154 587 412 1555 933 1100 884 1085 212 107 1768 1191 391 1245 290 101 1176 1921 635 799 882 312 369 1237 1528 1168 1471 1417 568 277 1117 1350 1862 889 33 781 1478 1532 1121 891 43 591 150\n523 12 639 1195 774 998 634 1775 981 1906 993 1241 179 1899 977 1791 537 973 1316 1742 731 1744 1753 355 1457 1527 194 1022 321 724 1882 1823 484 1125 251 404 284 735 1110 215 285 1804 360 893\n695 441 1233 42 662 1609 1028 1248 1115 672 593 923 198 435 1806 1779 494 1723 722 809 1758 453 1413 1480 479 1219 1596 1163 1847 1431 1908 1704 962 660 906 1734 901 24 131 651 900 1263 1375 424\n1180 1185 433 1571 1597 115 636 1752 756 926 1323 350 542 1287 826 747 157 1049 121 1819 552 7 1209 26 632 47 1475 219 699 1572 1467 1853 1751 1531 141 1144 1534 847 1701 676 501 1184 1386 1709\n375 1590 1159 607 1035 1536 598 1114 1646 78 700 1762 6 903 140 169 1642 1079 1737 831 196 260 754 1874 535 246 561 1813 627 188 1162 1736 791 1546 357 372 944 1858 1382 226 1365 1207 540 1684\n1679 1004 844 327 1591 855 469 1019 1474 1380 265 1338 1501 1505 864 1355 1383 473 961 1484 1746 653 93 863 1298 1045 701 1147 269 573 904 16 1681 1188 1777 1645 1171 146 1861 834 319 848 256 1031\n1278 1778 822 1498 1416 474 536 937 374 1448 611 1137 129 1612 497 1169 482 1920 1010 49 899 172 1898 139 1637 395 427 1320 518 1831 942 775 1691 1705 509 989 1930 1181 1150 373 434 126 1859 534\n291 1661 941 644 1577 446 324 1788 11 1754 1671 207 486 1694 1291 1558 1104 1836 838 1432 550 1351 1294 41 1504 1821 310 1932 1840 1774 65 1223 601 1565 718 943 960 210 29 1061 1502 751 1673 455\n873 98 738 800 368 429 1575 787 1379 235 1437 1801 1487 1352 1608 283 758 868 1138 595 1833 316 1488 1809 1541 1726 305 1069 1897 295 1062 1900 189 749 533 81 258 1231 1666 1870 1268 1615 934 1708\n1214 1295 37 1039 1780 1290 685 1912 1221 649 1660 330 1091 1491 382 1602 1203 571 850 367 1875 1877 1629 1805 1644 1879 763 227 959 271 442 1516 1246 1567 916 1343 161 1411 1523 1594 1426 1927 967 1665\n1814 1360 417 245 938 789 1415 1154 1933 280 1787 643 1023 853 580 1674 36 402 9 776 448 612 239 723 1254 20 1894 1302 1330 268 366 466 1672 879 168 1080 1519 386 1453 1890 1903 204 415 1084\n698 287 1830 128 34 1578 1345 1835 679 1916 657 1706 785 307 1455 558 1053 326 1081 1020 1579 1286 777 671 600 610 557 1394 1335 1247 201 240 1729 877 688 4 1048 1197 1776 529 1280 414 436 1904\n1119 658 1917 1434 1388 628 1668 1598 1201 1798 202 1340 806 431 1253 1490 48 1721 1756 1283 1266 209 1123 1509 949 1389 481 1911 620 1105 821 1771 267 583 197 876 661 1230 1562 301 1816 881 569 1628\n1346 1361 843 1907 1160 1014 965 1526 1088 160 1341 1766 407 1825 1376 1595 1860 465 1793 1189 910 278 1402 195 217 1038 1556 762 425 684 1695 264 1133 1324 633 1599 983 87 136 951 421 1496 223 1773\n1477 866 1936 1914 132 946 689 905 294 1826 1739 720 1669 55 422 325 1676 67 994 439 1446 596 704 592 1633 443 978 1135 1405 1143 338 1884 203 1194 166 1057 1710 279 1005 530 462 178 675 1494\n396 84 922 769 1606 1003 1393 655 717 1630 1033 560 1401 674 1318 1132 958 1682 117 1542 1187 792 1164 306 538 1686 1868 89 772 1292 222 1146 606 1157 1099 783 1134 1935 133 885 191 737 713 392\n1624 10 1664 1068 504 1220 682 1492 1451 1300 1497 995 1438 1149 920 1112 1118 302 1851 1385 524 625 857 1354 1054 574 390 819 648 1232 1092 1712 413 786 710 80 1109 394 1399 992 328 1398 1733 1152\n1312 1925 135 456 1257 64 631 450 748 1215 272 788 1098 389 1073 199 940 1636 948 1439 1750 1769 1347 947 1357 1728 1029 300 477 930 1427 1106 114 1918 654 21 1568 1743 1680 1419 996 1618 1120 1408\n1533 892 673 925 276 1849 566 861 1410 138 681 1866 1464 519 1126 693 827 331 576 468 1210 1510 1792 680 228 1634 1619 221 971 1270 1740 1267 323 130 803 797 526 1607 1529 999 976 909 1550 919\n1850 426 1447 380 1725 706 1928 503 823 379 1552 1319 1625 629 1301 1007 1052 1018 913 1107 1573 1076 3 1377 8 1359 506 779 1520 346 575 1730 1212 683 184 30 1337 712 249 1358 1145 1659 232 1009\n1414 1539 183 74 490 498 615 1030 1032 1817 1050 567 1026 400 1503 812 902 1313 361 250 233 1373 1811 1136 499 428 1588 957 1166 344 1483 1592 1864 1923 371 220 1570 1834 32 1307 955 362 1902 1086\n770 1065 1827 411 491 1348 1799 849 1090 224 334 175 572 23 1310 1242 810 1060 707 563 816 766 318 553 320 714 1315 1584 860 1306 1880 956 1922 263 335 1688 512 1071 597 485 96 1663 1199 236\n1271 637 1764 1547 1178 1384 1735 1051 1381 890 1252 480 686 1551 1611 1249 1696 1244 492 14 846 728 1658 1797 1236 1820 505 740 646 1387 430 1829 1876 912 76 1151 1587 1407 730 370 103 1604 757 243\n281 1886 982 458 1289 927 985 1067 867 99 156 1934 577 393 298 669 489 252 1580 1692 715 742 1583 778 1824 1422 1749 1153 297 247 677 185 837 964 1025 687 5 790 694 755 205 1128 317 1059\n975 1702 541 840 585 1863 697 460 1216 895 1424 1037 1714 565 1445 1016 1077 531 408 180 1885 1213 914 616 1931 640 349 1175 1311 148 1366 122 1784 1196 359 896 1910 244 1082 1905 364 1545 1613 1697\n641 911 887 385 696 966 842 716 650 1852 609 1508 659 578 1179 348 403 109 1296 1653 1891 1 73 1856 1913 39 1759 1374 1690 1569 299 1443 293 1812 833 1507 1021 1790 638 1421 1390 66 1844 1755\n1476 970 1841 273 626 1640 516 721 410 1781 1096 22 1364 376 100 1440 159 832 111 652 437 527 496 1342 692 1218 119 59 1056 1512 45 1459 1713 921 112 1193 190 495 1929 1202 642 602 1349 51\n193 1616 1327 1915 991 1632 1403 1173 507 1378 1367 1309 487 1842 1418 1657 1305 1425 1700 1662 556 513 794 488 70 767 238 814 1205 329 1789 343 17 773 1284 1006 1796 31 444 514 734 1563 1258 1540\n171 986 1362 1482 1156 795 771 1626 915 862 859 1883 1489 870 177 1703 708 841 60 1204 1486 145 1623 1042 405 476 739 1001 725 668 1260 1593 1344 1677 1299 1024 665 242 1693 1101 470 917 142 1761\n82 968 1027 69 116 475 1462 1297 158 1518 1012 440 782 398 1078 137 1177 711 61 1442 229 1075 1763 1322 807 1506 918 528 1535 1732 705 835 174 1087 124 401 336 40 939 1008 1158 472 50 796\n1372 15 91 151 1089 1586 418 92 1783 288 423 954 332 1461 878 726 1222 1867 1807 1857 1561 703 282 399 517 1256 353 1140 1072 1275 1013 1698 79 352 886 1810 945 1748 1765 1566 1822 1108 1499 165\n104 805 1466 1517 1865 200 1217 1576 727 471 1094 1800 1848 341 454 1878 459 356 852 230 351 1251 18 1495 936 333 308 1444 1452 225 292 1240 1803 1250 1063 1141 1757 1895 874 1363 1581 1667 1627 858\n1392 57 1872 1281 780 52 974 811 68 544 1782 741 824 1326 35 1017 1525 1832 820 71 377 1129 493 1614 304 963 759 1406 511 1605 381 543 798 1400 1172 416 1011 1308 729 1058 702 1167 248 2\n153 46 1454 1333 1336 120 1116 170 599 406 987 1731 311 979 363 765 953 1479 1095 1537 1888 950 1678 1404 88 1896 551 155 1610 1543 1148 53 463 173 559 1282 1339 1155 1142 1601 1675 502 656 1064\n110 1513 1815 856 586 1718 1621 143 419 1649 1544 1420 980 1234 1689 105 678 663 613 1892 1869 818 274 624 931 548 898 1044 27 1720 1738 500 510 1845 733 690 752 825 289 744 1699 1652 216 303\n1548 95 594 1846 1582 1412 1727 347 1328 451 342 1463 123 1574 582 1549 1837 1647 645 1631 1500 1639 1711 447 745 1314 1655 1456 147 1554 1648 1429 1371 1873 102 1074 339 1767 1192 152 1622 621 1641 1685\n464 1707 630 753 1225 768 13 19 192 546 1409 254 1794 167 1170 1670 1190 1854 77 438 590 457 647 1893 1465 211 1481 1055 928 1839 1524 1620 802 1717 214 383 1600 261 1261 1103 1716 420 365 1041\n125 186 461 1262 1468 1818 25 270 1901 1046 181 164 113 828 1808 149 1334 206 1111 257 1238 340 286 72 525 118 515 1182 314 1485 213 1273 813 1034 231 1097 1887 1530 1433 54 579 275 1760 1473\n1770 1635 736 1589 521 1391 589 452 1909 997 1093 127 605 86 296 1396 1747 432 815 907 872 56 588 845 266 564 1047 255 1843 555 1919 1557 63 1722 604 478 746 522 322 38 808 603 804 1325\n581 1368 58 1724 1436 1397 1113 1228 259 1538 1924 1200 1122 1643 924 1522 1279 1926 1174 570 988 1423 106 929 888 719 187 75 1369 614 218 176 1493 449 1211 1131 908 1521 1654 1460 1329 743 1276 163\n875 854 761 836 1651 1161 1124 932 388 253 182 108 618 1321 1206 1795 467 1745 1511 670 1272 315 709 1889 1066 760 817 1472 1255 549 1036 1515 1285 1786 354 1224 94 539 1332 1198 1227 532 750 97\n1395 1741 1356 337 1331 234 801 1772 520 1785 562 1288 345 897 384 1469 1719 445 1687 1304 622 871 1226 623 839 1293 1139 990 1871 869 784 1435 1102 1259 545 262 483 1235 972 547 83 764 1564 1015\n62 664 1553 851 1165 1828 1229 397 1239 508 1430 1264 1458 732 1043 984 1585 241 1208 1881 1449 313 1130 619 85 1441 1083 1450 1656 1617 1603 608 1855 1470 208 1838 1040 1183 1000 1269 1186 378 1370 358\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 201,
        "task_id": 1088,
        "test_case_id": 13,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "45 1684\n493 1928 712 565 33 1129 1026 1184 1558 960 1979 82 1761 1415 992 802 1666 750 1518 1537 534 1399 512 1634 334 932 1330 1015 69 1082 683 1830 90 1891 655 1865 345 37 585 738 1623 131 1211 67 1470\n755 378 1948 1102 290 918 423 1127 1757 1166 956 1833 617 987 1507 1183 1413 1975 1153 206 1386 1411 143 1004 674 900 1800 885 1973 360 994 1391 386 1140 1834 426 105 431 1593 1152 269 248 1324 478 800\n477 46 191 1941 1091 784 522 1597 364 1248 907 1019 948 467 281 1903 464 102 228 1106 1613 1383 1804 927 291 882 1516 589 1557 369 1061 249 1863 1556 2019 1021 1465 1370 427 1603 251 945 1611 1404 1092\n130 236 162 1548 1555 1449 1047 1454 408 1261 1008 1612 1808 1569 1060 1011 149 98 1213 586 1596 1422 860 275 1135 1665 721 701 1103 1219 616 886 1050 1546 392 125 208 820 1815 1005 41 380 646 50 1474\n1751 1776 940 292 2009 1579 746 324 1295 1912 219 1057 1534 1744 1197 1733 1938 1729 761 302 1559 1073 1578 596 452 19 75 573 1469 1343 883 39 152 1920 1409 451 465 2008 1712 982 489 78 716 1310 1628\n322 422 218 594 1306 1009 106 1743 1581 1749 1517 1366 892 1031 1526 287 2010 1639 1503 1996 470 146 869 1466 1468 1251 1997 1212 1364 754 1489 705 1625 667 1490 804 1888 60 520 842 704 1105 751 1037 1139\n958 332 1651 1150 2024 498 743 1531 1158 1186 1631 1801 566 1297 1535 1416 1328 1121 268 702 342 65 66 529 576 123 1592 1877 1794 1266 1922 337 912 1245 1176 1275 595 1290 1289 1349 773 70 747 499 1522\n1737 810 100 1783 980 556 545 492 814 557 664 1887 1688 803 835 1471 307 1962 230 1904 1196 772 966 878 1347 414 246 1885 1154 1986 341 569 145 737 1494 375 409 95 1870 1643 1969 1250 822 314 864\n1308 1204 1898 1758 730 849 1851 1392 1028 135 1089 1829 54 1584 1957 1819 1305 1732 638 543 494 874 1821 1536 154 1571 1296 1902 284 1700 354 1372 1760 944 1071 1010 1560 1239 1215 1840 258 1763 615 1045 651\n4 1726 1916 273 879 1658 693 1511 1065 505 247 1203 934 59 502 1988 1809 335 1663 1482 776 1836 214 1378 635 732 53 1983 1151 618 393 1304 665 1327 1498 582 572 1034 525 574 910 677 85 460 194\n1453 418 717 479 142 942 14 120 601 1818 2022 1168 1756 199 1018 2000 1698 558 1530 1260 919 1446 1711 1109 1001 1044 555 644 706 519 939 1202 62 1125 1495 760 1457 1365 301 1172 511 1995 186 2015 241\n177 1715 227 88 1259 51 18 1775 1481 144 1478 768 604 1766 97 1977 113 112 1382 1843 1860 1693 1360 1463 1844 801 759 1048 172 1087 1363 250 643 193 1774 1694 1441 629 906 930 1218 863 1164 289 1346\n1225 1058 173 1376 1207 107 1189 686 1734 1374 1249 916 1352 1953 714 811 1042 432 694 27 781 1241 192 1713 831 1242 1265 265 1689 377 973 1602 850 296 1832 852 1966 657 531 813 509 440 1253 1848 614\n843 775 1325 264 744 1243 649 1635 1691 103 1739 925 1397 748 1208 1544 740 931 1894 1273 1946 1934 58 1479 126 447 267 1074 577 13 503 1520 1955 788 48 1566 416 1419 1540 119 1277 972 349 159 1586\n304 306 679 429 164 1062 752 1313 943 727 1116 315 56 1945 997 1210 662 785 1811 348 1108 507 1487 1157 501 1395 1083 1394 79 104 741 923 1282 1276 1464 1590 266 1023 40 1052 1336 469 1096 1389 180\n385 571 430 1104 1655 1638 283 1600 49 1359 1447 1767 483 1113 1400 680 581 968 77 1989 1855 443 1338 1842 1538 1786 1908 647 137 1708 1990 1238 389 1279 2001 1226 317 1805 865 255 1206 1810 111 1038 1750\n1182 1445 1673 1233 1434 1551 1402 209 1769 1063 1644 171 1431 202 1572 1456 1130 1090 1448 1880 351 1680 1033 830 796 486 1768 999 1601 1772 1792 1641 30 949 757 583 723 838 1337 938 1247 1795 148 446 1527\n762 1345 1506 221 370 21 1199 668 1425 816 1745 1812 873 141 547 1424 237 8 1136 1647 101 711 708 666 24 1027 1614 343 1935 1695 890 259 411 134 310 277 975 1401 671 608 406 1654 544 211 155\n226 1869 454 83 1943 542 672 1533 535 1706 687 203 1461 1793 1619 1173 1779 952 300 851 2006 1652 1100 1072 1357 121 234 457 1947 71 1111 839 356 875 435 232 1267 1657 827 1707 2 758 792 1493 1263\n1300 403 2023 34 837 175 818 383 868 1679 1541 1231 789 1752 17 1230 1669 795 609 1000 1118 424 696 74 1879 1356 400 163 915 591 1442 207 546 876 902 1972 1965 151 139 1568 824 1358 1396 1913 872\n1155 487 1188 415 633 854 1788 1561 1287 197 1574 1806 1974 362 829 606 1281 1799 1175 1982 1451 261 1719 1588 1156 1086 1915 1867 1591 458 1344 2005 1773 1640 384 1268 1299 333 116 318 894 1283 539 560 1228\n832 331 1107 753 373 1991 434 305 1097 1896 592 35 299 150 223 562 128 1780 2007 568 303 690 1291 1067 1839 1927 1085 584 1585 1098 109 361 756 347 745 168 225 1428 421 1703 1861 1452 1307 319 1414\n224 1143 76 1049 959 1615 475 1079 187 710 528 871 1637 359 1671 1476 1077 697 911 61 1649 1458 1738 971 229 288 1429 1040 1221 480 1949 895 484 1642 1685 642 1003 669 1137 1244 1500 1274 1417 1717 240\n1926 1905 1278 933 950 1420 532 1617 779 404 1798 495 2018 889 490 198 195 459 1070 220 1961 1046 625 623 445 327 941 1897 734 395 438 1740 1145 1254 1901 857 1762 1444 114 1952 1236 1521 1577 1787 1030\n720 461 1674 1981 215 185 978 1348 1598 1857 367 1069 645 138 836 1440 353 844 970 1724 1246 63 947 1754 593 1288 286 722 1856 1407 2013 1746 549 1161 28 1524 648 1144 1126 1595 1661 1149 1573 1393 365\n825 640 99 887 791 16 954 1385 1539 1725 1616 998 1850 661 1159 481 244 419 1771 1565 1610 799 366 1594 1162 1893 1170 977 1670 1459 1361 417 924 807 845 368 1958 636 2016 1179 1187 1828 986 767 122\n969 1418 790 1438 597 1626 1321 23 1881 165 1280 22 1293 1873 1080 1532 579 183 1853 846 1194 817 1849 441 1502 1742 496 1410 188 94 598 967 1994 1827 764 1333 896 1604 239 691 1925 898 1132 1930 1355\n2017 1492 624 1110 1606 1716 182 1636 1980 1064 1101 174 1473 1167 1131 1286 631 257 735 782 1322 10 1782 515 1675 1093 965 488 554 391 1727 1545 1180 57 1439 770 321 1648 991 156 405 688 11 1781 1627\n1163 184 1041 552 1718 453 26 449 1133 1807 81 1480 1978 1303 158 55 1270 1684 1002 612 698 632 397 1017 1342 178 260 603 731 1954 9 1937 798 739 1705 840 1217 166 1813 1702 1720 1570 1123 1910 282\n1353 1443 450 200 797 312 1789 905 1956 909 1890 25 1177 1933 787 853 1704 1770 957 1820 2021 1054 841 513 1006 1951 1859 1271 1741 1633 2003 508 1043 1301 929 285 990 1240 1075 1875 917 684 1824 806 995\n1380 1864 1350 564 1630 44 1055 920 778 1998 897 352 870 627 382 550 541 858 1039 786 1939 242 1882 725 1255 466 1318 278 1523 855 1081 1339 87 1575 599 1472 473 68 736 1375 1012 96 914 1791 379\n129 861 1907 1122 298 1237 1993 1232 1059 235 1976 1128 676 160 338 1605 622 1426 1660 769 551 530 1529 1160 1178 463 1475 523 1272 1329 1387 1007 1433 962 1722 833 719 108 821 1936 1302 147 1835 407 1117\n1099 637 1552 118 29 953 444 1112 179 176 1509 1235 279 190 297 561 1852 1403 996 1730 1312 1256 1677 774 1659 1971 1284 1264 1664 1095 983 1796 1223 904 724 1899 1992 401 1549 233 1646 1147 425 1858 1224\n1709 1608 1872 1373 1200 1999 1285 675 652 340 700 613 1940 961 437 402 766 350 913 847 1624 399 1501 1892 1697 578 1759 276 7 1777 420 1528 329 1035 293 1814 1919 1214 253 124 412 527 660 433 692\n628 682 935 1486 709 1036 974 908 20 167 439 985 1714 742 1587 1845 1320 157 733 619 626 1398 504 52 1862 1335 1681 189 1785 1621 1294 1258 132 212 1505 1367 355 699 1368 115 1710 1906 1462 703 1668\n1512 1229 47 1874 1676 1960 979 1323 963 1114 1013 1911 1298 1923 1014 537 270 1257 1120 1629 937 1390 1525 1883 880 2002 1029 1068 812 363 559 308 204 1316 252 1076 1932 181 984 610 32 976 1650 689 91\n1510 1388 1450 1871 1884 1181 590 1696 1964 6 1632 410 1020 1192 1984 1165 1550 1056 271 161 575 428 553 600 621 84 64 793 2011 1317 521 540 1216 1146 1022 1645 1185 567 387 1477 1119 1620 1421 1687 1053\n605 1735 1803 1485 1683 1319 563 1817 587 516 922 1134 1124 196 780 1437 2004 238 2014 1963 1822 413 862 15 1315 371 169 1917 170 1483 726 1868 1580 1141 374 881 921 1436 639 1753 1678 1914 1895 472 1607\n888 309 1985 396 510 946 231 1589 381 650 524 1334 1656 1499 1311 1309 514 1115 805 1377 388 311 1371 1362 1563 765 1866 1547 482 1351 256 538 1341 1227 658 5 866 80 328 263 471 1504 1024 707 1918\n1622 45 1088 1987 1721 1921 1340 323 1542 1562 245 1220 1784 1653 1846 92 1816 1778 390 1190 673 216 1543 663 1748 217 394 455 1384 1876 783 713 1823 1583 749 1942 1728 476 254 117 656 899 670 140 1825\n1195 153 1094 1554 1455 607 1405 681 1931 926 1929 548 1369 678 93 1078 1423 1513 485 136 794 1886 1582 1292 1567 1667 1381 89 1790 110 213 1765 1198 988 1496 1924 1430 1699 715 1515 1314 989 272 1736 316\n274 1460 928 1326 1169 1174 357 1171 86 346 1066 1682 1427 763 133 2025 1332 1252 1970 1701 611 1968 1084 468 2012 243 201 1618 620 1889 1142 1854 1690 73 500 1406 330 1191 641 867 848 1209 1148 442 1609\n43 1138 262 1838 1686 398 1692 326 728 320 859 526 462 1672 1747 718 517 1797 210 1491 1755 280 1234 981 659 295 1831 828 1841 1 325 1331 1051 834 358 72 294 808 1847 951 1016 506 936 1909 1269\n1802 436 1435 1408 891 1205 580 893 344 1222 654 1025 36 533 12 809 570 518 955 1379 877 42 823 695 491 1467 1576 1950 339 1354 588 456 1553 1484 376 1032 1900 1837 771 993 630 336 1564 634 685\n1262 1731 1201 903 1432 1959 602 2020 1764 729 448 826 31 127 1967 1599 1878 1519 1488 497 222 38 819 1514 1723 964 1412 205 1193 815 1508 901 1944 777 1662 372 3 856 1826 884 474 536 1497 653 313\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 202,
        "task_id": 1088,
        "test_case_id": 14,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "47 224\n1634 643 1719 818 680 2038 512 1996 224 1198 1630 2044 2201 105 1591 409 1005 1090 564 404 41 798 1820 902 246 581 1155 459 1183 650 152 1789 1210 1616 1244 2150 888 950 1781 1974 573 214 1737 494 1716 1034 282\n1446 2165 1224 561 1761 393 1246 2175 1115 860 967 2176 1008 243 1907 610 1641 164 1137 1480 294 1711 679 912 618 851 2196 651 1703 849 772 171 2082 979 361 1225 324 768 1028 1431 217 419 1515 1420 80 698 1397\n263 585 134 1456 1813 1718 1844 91 437 1805 971 397 836 182 316 1875 1311 887 1153 2178 1556 82 1646 819 2097 501 985 1714 845 1483 1324 1626 1838 773 1696 660 169 746 495 1910 1776 1413 1380 1538 1063 1954 1921\n1629 916 747 46 1133 1668 1970 1081 1643 2029 1189 52 2050 1143 1023 1177 2156 737 2130 1527 2024 1376 1890 1993 125 1827 567 148 755 2144 1320 1247 1021 947 1439 1533 1185 2060 1611 1563 2143 556 2117 1821 1825 514 1078\n13 469 1302 544 546 1564 2 1355 560 135 1615 1592 2122 1086 44 1790 1288 1118 1540 647 583 191 1016 1606 591 1169 1279 1614 1924 1188 1899 493 446 206 2056 1959 2067 1176 728 1203 2192 145 1009 1506 326 563 49\n306 692 2043 1839 211 1988 1511 555 1301 1386 801 1269 666 1628 1127 557 177 1272 1908 966 1889 891 759 1050 1546 597 1340 2168 1635 1911 917 76 1731 257 1581 1414 1193 1139 1576 1587 1253 11 1557 733 1673 1371 1824\n1891 1534 421 1383 543 497 943 165 2031 1561 1025 1112 1435 517 318 1967 839 1251 385 466 360 1857 1920 1892 1812 1274 1571 1772 1785 716 883 1319 1960 590 216 185 92 1287 1617 209 1298 1768 730 1348 473 85 90\n1323 377 104 1763 25 890 1579 321 372 2055 1334 802 1116 1645 1876 722 731 1429 1779 319 2014 488 1314 2187 1559 2057 1100 1461 342 198 1365 233 2158 304 1555 2145 280 2209 638 538 1011 272 1895 1754 334 2180 1929\n1810 1931 440 878 1586 146 1726 506 181 954 972 1122 2016 483 547 674 1569 608 791 1075 852 1900 260 172 154 1217 6 1467 1685 17 1981 1514 328 21 139 853 317 2185 410 1015 1756 1775 1270 1307 384 1604 719\n344 1471 675 1426 701 588 1411 981 1142 1452 161 279 2006 670 283 284 1943 253 1277 1638 66 1004 23 1773 416 1585 939 639 1166 1728 1759 1327 1003 231 1216 1432 1162 2126 1478 241 1746 775 487 2063 19 1885 2179\n2000 389 515 702 1443 376 1268 753 961 1832 1735 771 325 1475 522 788 1697 613 962 649 744 1294 1905 1914 2129 1624 228 2190 470 2087 402 2164 1336 255 2064 1865 1436 694 413 704 1030 1091 444 841 1856 1702 1956\n1517 1060 287 657 4 1014 766 1742 1597 1400 990 1357 1151 1688 1052 178 15 1267 2134 909 1472 531 1705 449 1318 894 338 1208 1123 516 1687 876 907 14 417 375 190 1523 829 2102 2069 906 782 199 400 2079 662\n176 1957 1407 428 1072 123 435 767 599 1945 368 661 1926 826 1808 1767 2167 611 448 1765 925 1535 1882 1051 1852 1919 763 1184 467 129 436 1999 1444 690 2058 641 412 2162 1415 2198 1608 101 1778 291 685 832 1866\n256 1979 530 1181 434 1070 713 572 809 2077 1345 225 158 1447 1978 1498 1958 309 828 1238 785 1450 697 1295 783 119 2132 130 1255 1369 1553 875 336 348 1598 550 987 489 1973 1104 837 2109 1333 356 682 2089 472\n1276 1855 551 975 1965 847 1119 1374 518 2034 997 1631 411 1105 197 222 1987 886 1171 1066 1489 290 877 524 1223 2085 1422 1055 219 1590 447 1020 252 903 1218 693 1199 762 1074 741 2197 1734 1262 774 1412 2068 1482\n34 311 98 58 549 47 1110 460 24 1342 1252 1793 2136 998 2008 1398 568 1499 709 1896 310 1966 223 1352 337 735 646 1758 633 22 420 373 1507 533 1522 552 1108 734 1990 492 2015 350 2166 1708 838 1449 142\n2146 1680 1437 1200 73 931 587 1667 1457 1077 1394 151 1306 1338 1061 1951 340 1912 817 1458 1501 1621 1596 490 59 1934 273 1164 201 1095 2076 271 905 355 1125 671 1092 479 656 1666 383 215 955 1290 1904 1328 1939\n677 1997 242 1361 1019 945 1678 627 1350 478 1816 919 824 1500 1395 232 2173 1550 1637 1289 250 227 1684 2041 288 1975 1455 1239 1141 978 16 1053 1713 565 298 1543 2071 1518 1463 1273 174 1601 570 1286 441 166 2090\n631 398 1421 208 1428 1120 156 2200 78 433 1811 2011 270 244 630 1068 180 2009 1679 1241 1351 1329 1046 1316 1212 602 2119 203 779 239 1036 359 1304 464 237 1521 1237 1317 521 1303 315 1822 1930 112 1000 932 1541\n445 97 1082 1962 1278 910 729 1418 1454 1565 109 1961 486 958 1894 439 846 1764 2138 424 959 1488 137 703 1526 1331 1205 1723 2118 1819 880 1466 749 1677 293 1174 1566 430 1058 122 251 870 554 1880 539 1408 2115\n1774 2018 1226 144 27 833 1041 589 2083 1806 928 196 769 307 1275 363 37 347 121 175 1258 1312 548 1047 781 1029 295 1983 322 1950 545 757 70 895 644 247 2124 117 1690 1512 1544 451 1098 1915 868 463 1285\n1425 732 2194 1932 99 1305 668 102 423 2046 1349 2137 2195 1479 455 339 443 1417 1663 184 1743 616 1147 1516 1040 715 62 1192 465 1893 941 562 725 896 537 1308 579 1644 628 2174 1724 664 1969 1797 508 989 814\n996 71 1897 471 691 673 2032 1335 1751 2051 408 1261 960 1401 1190 944 1670 234 329 625 108 830 1144 1510 1602 2022 2140 1002 1042 87 1434 806 1588 793 2131 553 1396 699 815 723 857 604 1470 1531 1595 1399 1795\n1928 289 1017 2142 162 308 84 1007 452 136 2141 1368 1551 764 1736 687 1704 1519 1700 2025 75 1752 1027 1158 578 207 1989 269 1146 1656 1898 805 751 1676 1111 1099 12 1321 930 963 1622 923 374 720 2208 816 1356\n1944 911 1682 1152 1549 118 2048 1831 354 2033 784 366 403 2101 1381 758 1672 889 456 74 1339 396 1291 898 1532 1233 1710 1689 1129 248 1554 1069 380 1530 540 1651 1609 1379 873 1080 453 221 812 2078 637 1536 40\n2052 2177 2062 2108 1012 1883 1083 1310 1618 313 2091 1202 609 213 1491 511 1073 147 2045 1640 1998 593 140 1486 672 382 406 1165 1332 333 349 688 523 1213 1424 45 1744 1389 1642 1977 1102 1612 391 35 1658 106 756\n957 606 1913 378 1284 1178 2075 1220 1232 5 1094 38 1520 2133 874 1529 1879 519 1909 1256 1613 54 684 2013 1121 1493 750 865 1297 1010 1610 212 415 36 1662 869 381 1659 1619 2036 897 1366 810 2001 8 1669 1664\n952 2135 297 1830 26 1039 1136 1600 95 1173 924 872 195 1343 2105 498 86 717 754 94 807 277 1402 278 1062 1388 623 1154 745 1473 204 457 542 426 803 988 110 596 1706 1940 2017 653 1809 927 1117 899 575\n1769 1701 57 1814 1537 1391 1804 1786 1671 2002 1552 427 1818 940 1801 1871 1330 1201 2012 1653 1747 1861 1625 526 202 1620 1766 2098 831 1089 1367 1869 1495 1829 1419 914 462 65 659 520 1720 796 1299 892 1798 30 141\n1784 881 1807 1562 705 1148 1049 500 1794 635 689 1661 1242 607 1131 1580 1570 813 89 1721 1955 1337 365 984 1992 2202 2074 577 1035 1652 1179 64 1093 1750 2088 1572 1309 918 1240 1589 405 1863 525 617 2080 1445 1594\n1211 1 1438 654 20 496 1649 992 800 1686 1575 1231 1502 68 1902 345 88 614 580 936 193 2007 760 1513 2112 1823 2154 1504 956 332 1828 1281 1935 157 81 2193 1568 1180 1370 2125 474 1044 507 1755 29 132 808\n1803 571 795 1326 2003 696 261 116 1877 1280 1648 442 10 879 1347 1266 50 510 173 150 1842 1230 1681 1984 1462 149 2155 2123 2059 1382 320 528 991 710 942 189 1363 143 665 346 885 1186 114 480 303 1037 1941\n1172 179 1263 1815 1942 1101 2096 1603 527 1878 1937 1163 1264 133 738 1840 1484 1799 1867 72 358 2182 1132 1254 367 192 323 1403 1727 1378 1464 867 1850 1135 752 2163 595 1031 1633 1593 676 712 170 820 1354 1692 804\n1725 1344 964 1693 726 1097 1459 485 1362 1584 2113 921 569 160 714 1574 934 1922 1322 1430 1780 1886 1632 268 1113 1497 1925 450 245 863 341 262 884 1149 1341 1228 632 1582 938 582 1084 605 461 1022 1300 1468 1903\n2053 1364 727 1134 1441 823 1257 1901 2028 61 1485 167 113 536 1854 2157 2092 2161 1715 1024 138 920 482 844 386 2204 1150 79 343 2093 2152 2181 681 438 1221 1487 718 1873 1709 1387 414 1730 913 387 993 983 827\n93 1654 1161 1175 2095 790 1222 1698 1995 855 1771 475 1219 1607 200 1187 811 2027 1665 2023 854 2066 292 1858 601 51 1496 259 825 194 724 937 1296 379 42 1777 2004 1835 1204 1864 1753 2199 2072 619 1392 1106 951\n566 1059 1375 2086 302 2030 1927 477 103 395 1874 995 893 1477 1528 1757 640 922 1573 1209 1946 1503 1282 1783 794 2172 1107 1214 1739 748 1293 1623 31 159 908 1492 1577 425 1986 155 1938 111 973 658 254 1168 458\n2084 124 850 1760 1026 266 1067 1733 1156 1976 969 2005 286 1130 353 1647 305 621 1836 982 776 1851 1558 77 900 314 1474 1265 69 721 2019 264 2073 1788 1440 1206 1126 1410 1994 1207 220 115 392 2186 163 535 797\n1170 33 7 603 1032 859 736 2100 968 2184 2207 1079 394 1451 2159 230 1384 882 188 1229 1525 1385 2111 1138 2160 1159 236 1076 2026 1674 574 63 476 592 1872 1991 299 678 1465 2049 946 1859 2094 1194 1103 210 848\n2099 53 153 541 1405 1448 1741 1033 986 1887 1227 131 32 2061 2070 481 2107 1968 598 229 1740 600 777 2020 965 1191 778 100 67 1043 576 265 1817 1215 502 612 226 2171 2065 351 1145 615 1906 1096 1870 558 1952\n240 1660 1849 1390 3 1490 994 2151 2081 258 1542 1346 843 1245 1160 2170 711 594 2042 1539 1627 1508 1505 1360 532 468 1406 1683 786 739 977 1404 1427 2035 218 422 296 683 534 503 1124 1071 2021 669 1933 1964 1038\n559 127 285 2104 120 168 926 1442 1971 1085 2040 1006 1707 700 1409 2103 980 586 629 1248 1985 388 1393 634 513 1292 1853 1982 864 1249 275 28 55 186 1260 645 529 1599 2106 636 2120 1800 2127 1868 1234 901 390\n1948 1358 822 2153 1826 1834 1841 835 871 48 1195 2110 1560 1547 352 1157 1802 418 1888 1847 238 2191 1243 1972 1140 1476 56 1953 765 584 235 842 915 1236 2169 1469 1548 429 622 1259 300 1848 1949 1283 1377 1087 2047\n1583 2010 399 740 1416 362 505 1045 695 432 1762 1453 1639 335 1860 128 371 2139 626 83 1353 107 1325 370 2183 1197 18 1722 1048 787 1918 1235 743 706 1545 357 1657 862 369 491 1065 1782 43 1250 620 2054 2148\n401 780 1057 1717 1088 799 1271 183 1923 1917 484 861 1732 933 2203 187 1636 274 301 1796 1947 1650 2037 1738 276 330 1837 929 499 789 2116 1770 1916 1460 2205 504 1881 1001 642 1433 2121 935 1064 1315 974 2189 1884\n1114 1792 1313 1054 1695 648 1833 327 949 267 1675 431 2039 2149 1509 1605 948 364 1128 1167 1494 742 667 792 655 1567 1018 281 1691 2188 1578 1013 1196 976 126 1712 1862 866 821 1963 904 1845 663 1694 454 858 1372\n652 60 1748 708 1423 2128 856 509 1182 1729 953 1846 407 624 1056 970 1373 1524 1936 707 1791 1843 1749 686 1699 1787 9 1980 1109 331 312 2114 840 999 761 96 834 39 1481 770 2206 249 1359 1745 2147 205 1655\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 203,
        "task_id": 1088,
        "test_case_id": 15,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "43 2929\n144 1303 830 309 793 387 1559 935 90 691 1002 43 584 1560 162 554 1265 865 1514 894 880 1638 1127 1277 409 1802 1317 134 883 1070 1715 617 1683 32 969 237 666 1428 1353 1650 952 667 1243\n829 1274 154 587 412 1555 933 1100 884 1085 212 107 1768 1191 391 1245 290 101 1176 1656 635 799 882 312 369 1237 1528 1168 1471 1417 568 277 1117 1350 897 889 34 781 1478 1532 1121 891 42\n591 150 523 64 639 1195 774 998 634 1775 981 732 993 1241 179 1229 977 1791 537 973 1316 1742 731 1744 1753 355 1457 1527 194 1022 321 724 1259 1823 484 1125 251 404 284 735 1110 215 285\n1804 360 893 695 441 1233 41 662 1609 1028 1248 1115 672 593 923 198 435 1806 1779 494 1723 722 809 1758 453 1413 1480 479 1219 1596 1163 1847 1431 984 1704 962 660 906 1734 901 22 131 651\n900 1263 1375 424 1180 1185 433 1571 1597 115 636 1752 756 926 1323 350 542 1287 826 747 157 1049 121 1819 552 10 1209 17 632 46 1475 219 699 1572 1467 1331 1751 1531 141 1144 1534 847 1701\n676 501 1184 1386 1709 375 1590 1159 607 1035 1536 598 1114 1646 78 700 1762 6 903 140 169 1642 1079 1737 831 196 260 754 1293 535 246 561 1813 627 188 1162 1736 791 1546 357 372 944 1785\n1382 226 1365 1207 540 1684 1679 1004 844 327 1591 855 469 1019 1474 1380 265 1338 1501 1505 864 1355 1383 473 961 1484 1746 653 93 863 1298 1045 701 1147 269 573 904 40 1681 1188 1777 1645 1171\n146 345 834 319 848 256 1031 1278 1778 822 1498 1416 474 536 937 374 1448 611 1137 129 1612 497 1169 482 1450 1010 11 899 172 1828 139 1637 395 427 1320 518 1831 942 775 1691 1705 509 989\n1183 1181 1150 373 434 126 562 534 291 1661 941 644 1577 446 324 1788 13 1754 1671 207 486 1694 1291 1558 1104 1836 838 1432 550 1351 1294 3 1504 1821 310 1269 1840 1774 65 1223 601 1565 718\n943 960 210 37 1061 1502 751 1673 455 873 98 738 800 368 429 1575 787 1379 235 1437 1801 1487 1352 1608 283 758 868 1138 595 1833 316 1488 1809 1541 1726 305 1069 1165 295 1062 397 189 749\n533 81 258 1231 1666 871 1268 1615 934 1708 1214 1295 19 1039 1780 1290 685 1102 1221 649 1660 330 1091 1491 382 1602 1203 571 850 367 1139 1226 1629 1805 1644 784 763 227 959 271 442 1516 1246\n1567 916 1343 161 1411 1523 1594 1426 208 967 1665 1814 1360 417 245 938 789 1415 1154 1186 280 1787 643 1023 853 580 1674 35 402 20 776 448 612 239 723 1254 18 664 1302 1330 268 366 466\n1672 879 168 1080 1519 386 1453 764 1430 204 415 1084 698 287 1830 128 33 1578 1345 1835 679 619 657 1706 785 307 1455 558 1053 326 1081 1020 1579 1286 777 671 600 610 557 1394 1335 1247 201\n240 1729 877 688 4 1048 1197 1776 529 1280 414 436 1264 1119 658 85 1434 1388 628 1668 1598 1201 1798 202 1340 806 431 1253 1490 47 1721 1756 1283 1266 209 1123 1509 949 1389 481 1208 620 1105\n821 1771 267 583 197 876 661 1230 1562 301 1816 881 569 1628 1346 1361 843 1043 1160 1014 965 1526 1088 160 1341 1766 407 1825 1376 1595 1288 465 1793 1189 910 278 1402 195 217 1038 1556 762 425\n684 1695 264 1133 1324 633 1599 983 87 136 951 421 1496 223 1773 1477 866 358 313 132 946 689 905 294 1826 1739 720 1669 54 422 325 1676 67 994 439 1446 596 704 592 1633 443 978 1135\n1405 1143 338 262 203 1194 166 1057 1710 279 1005 530 462 178 675 1494 396 84 922 769 1606 1003 1393 655 717 1630 1033 560 1401 674 1318 1132 958 1682 117 1542 1187 792 1164 306 538 1686 1304\n89 772 1292 222 1146 606 1157 1099 783 1134 1370 133 885 191 737 713 392 1624 1 1664 1068 504 1220 682 1492 1451 1300 1497 995 1438 1149 920 1112 1118 302 1356 1385 524 625 857 1354 1054 574\n390 819 648 1232 1092 1712 413 786 710 80 1109 394 1399 992 328 1398 1733 1152 1312 801 135 456 1257 63 631 450 748 1215 272 788 1098 389 1073 199 940 1636 948 1439 1750 1769 1347 947 1357\n1728 1029 300 477 930 1427 1106 114 1441 654 5 1568 1743 1680 1419 996 1618 1120 1408 1533 892 673 925 276 1849 566 861 1410 138 681 445 1464 519 1126 693 827 331 576 468 1210 1510 1792 680\n228 1634 1619 221 971 1270 1740 1267 323 130 803 797 526 1607 1529 999 976 909 1550 919 1741 426 1447 380 1725 706 1838 503 823 379 1552 1319 1625 629 1301 1007 1052 1018 913 1107 1573 1076 12\n1377 36 1359 506 779 1520 346 575 1730 1212 683 184 26 1337 712 249 1358 1145 1659 232 1009 1414 1539 183 74 490 498 615 1030 1032 1817 1050 567 1026 400 1503 812 902 1313 361 250 233 1373\n1811 1136 499 428 1588 957 1166 344 1483 1592 1469 1603 371 220 1570 1834 30 1307 955 362 508 1086 770 1065 1827 411 491 1348 1799 849 1090 224 334 175 572 29 1310 1242 810 1060 707 563 816\n766 318 553 320 714 1315 1584 860 1306 1435 956 1617 263 335 1688 512 1071 597 485 96 1663 1199 236 1271 637 1764 1547 1178 1384 1735 1051 1381 890 1252 480 686 1551 1611 1249 1696 1244 492 21\n846 728 1658 1797 1236 1820 505 740 646 1387 430 1829 990 912 76 1151 1587 1407 730 370 103 1604 757 243 281 1235 982 458 1289 927 985 1067 867 99 156 378 577 393 298 669 489 252 1580\n1692 715 742 1583 778 1824 1422 1749 1153 297 247 677 185 837 964 1025 687 24 790 694 755 205 1128 317 1059 975 1702 541 840 585 384 697 460 1216 895 1424 1037 1714 565 1445 1016 1077 531\n408 180 483 1213 914 616 1000 640 349 1175 1311 148 1366 122 1784 1196 359 896 241 244 1082 1458 364 1545 1613 1697 641 911 887 385 696 966 842 716 650 337 609 1508 659 578 1179 348 403\n109 1296 1653 1564 8 73 1772 1449 38 1759 1374 1690 1569 299 1443 293 1812 833 1507 1021 1790 638 1421 1390 66 1844 1755 1476 970 1841 273 626 1640 516 721 410 1781 1096 23 1364 376 100 1440\n159 832 111 652 437 527 496 1342 692 1218 119 14 1056 1512 44 1459 1713 921 112 1193 190 495 1040 1202 642 602 1349 50 193 1616 1327 1130 991 1632 1403 1173 507 1378 1367 1309 487 1842 1418\n1657 1305 1425 1700 1662 556 513 794 488 70 767 238 814 1205 329 1789 343 9 773 1284 1006 1796 28 444 514 734 1563 1258 1540 171 986 1362 1482 1156 795 771 1626 915 862 859 545 1489 870\n177 1703 708 841 59 1204 1486 145 1623 1042 405 476 739 1001 725 668 1260 1593 1344 1677 1299 1024 665 242 1693 1101 470 917 142 1761 82 968 1027 69 116 475 1462 1297 158 1518 1012 440 782\n398 1078 137 1177 711 60 1442 229 1075 1763 1322 807 1506 918 528 1535 1732 705 835 174 1087 124 401 336 39 939 1008 1158 472 49 796 1372 27 91 151 1089 1586 418 92 1783 288 423 954\n332 1461 878 726 1222 1687 1807 520 1561 703 282 399 517 1256 353 1140 1072 1275 1013 1698 79 352 886 1810 945 1748 1765 1566 1822 1108 1499 165 104 805 1466 1517 1719 200 1217 1576 727 471 1094\n1800 1848 341 454 869 459 356 852 230 351 1251 16 1495 936 333 308 1444 1452 225 292 1240 1803 1250 1063 1141 1757 1553 874 1363 1581 1667 1627 858 1392 56 623 1281 780 51 974 811 68 544\n1782 741 824 1326 48 1017 1525 1832 820 71 377 1129 493 1614 304 963 759 1406 511 1605 381 543 798 1400 1172 416 1011 1308 729 1058 702 1167 248 2 153 45 1454 1333 1336 120 1116 170 599\n406 987 1731 311 979 363 765 953 1479 1095 1537 547 950 1678 1404 88 851 551 155 1610 1543 1148 52 463 173 559 1282 1339 1155 1142 1601 1675 502 656 1064 110 1513 1815 856 586 1718 1621 143\n419 1649 1544 1420 980 1234 1689 105 678 663 613 1015 622 818 274 624 931 548 898 1044 25 1720 1738 500 510 1845 733 690 752 825 289 744 1699 1652 216 303 1548 95 594 1846 1582 1412 1727\n347 1328 451 342 1463 123 1574 582 1549 1837 1647 645 1631 1500 1639 1711 447 745 1314 1655 1456 147 1554 1648 1429 1371 839 102 1074 339 1767 1192 152 1622 621 1641 1685 464 1707 630 753 1225 768\n7 58 192 546 1409 254 1794 167 1170 1670 1190 234 77 438 590 457 647 61 1465 211 1481 1055 928 1839 1524 1620 802 1717 214 383 1600 261 1261 1103 1716 420 365 1041 125 186 461 1262 1468\n1818 15 270 1239 1046 181 164 113 828 1808 149 1334 206 1111 257 1238 340 286 72 525 118 515 1182 314 1485 213 1273 813 1034 231 1097 972 1530 1433 53 579 275 1760 1473 1770 1635 736 1589\n521 1391 589 452 1585 997 1093 127 605 86 296 1396 1747 432 815 907 872 55 588 845 266 564 1047 255 1843 555 1083 1557 62 1722 604 478 746 522 322 31 808 603 804 1325 581 1368 57\n1724 1436 1397 1113 1228 259 1538 608 1200 1122 1643 924 1522 1279 1470 1174 570 988 1423 106 929 888 719 187 75 1369 614 218 176 1493 449 1211 1131 908 1521 1654 1460 1329 743 1276 163 875 854\n761 836 1651 1161 1124 932 388 253 182 108 618 1321 1206 1795 467 1745 1511 670 1272 315 709 83 1066 760 817 1472 1255 549 1036 1515 1285 1786 354 1224 94 539 1332 1198 1227 532 750 97 1395\n",
        "output": "588447741\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 204,
        "task_id": 1088,
        "test_case_id": 16,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "6 61\n36 22 23 5 33 27\n12 25 1 3 24 7\n30 8 34 28 26 31\n10 32 14 13 6 9\n17 29 16 20 35 11\n21 18 4 2 15 19\n",
        "output": "518400\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 205,
        "task_id": 1088,
        "test_case_id": 17,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "24 171\n89 273 207 415 290 371 512 269 224 140 502 51 48 105 574 409 40 452 564 404 41 427 355 238\n246 303 513 459 388 99 152 7 68 250 54 126 230 251 115 390 573 214 254 494 108 64 282 312\n572 101 561 406 393 329 407 58 244 295 158 490 243 525 309 424 164 354 461 294 120 528 518 460\n530 352 32 438 268 106 171 122 423 361 88 324 128 386 193 217 419 332 121 80 552 322 263 472\n134 132 236 346 240 91 437 188 545 397 430 182 316 481 498 315 341 248 310 82 93 94 499 501\n63 47 166 149 394 79 235 480 274 74 169 300 495 533 205 111 529 18 429 229 374 67 137 350\n46 65 292 431 275 496 408 213 52 311 114 150 16 109 373 81 95 399 36 258 405 125 565 567\n148 227 29 96 548 559 571 363 351 313 369 113 278 281 556 270 379 116 514 323 13 469 542 544\n546 569 2 286 560 135 220 86 398 162 44 20 42 12 133 550 448 191 465 343 478 453 119 131\n508 5 462 493 446 206 426 28 267 37 223 327 331 145 434 179 326 563 49 306 160 107 197 211\n170 288 555 457 365 187 442 447 276 340 557 177 297 53 367 155 174 200 144 285 157 526 39 141\n266 1 76 575 257 180 362 147 271 27 527 167 11 219 153 259 500 225 333 314 421 458 543 497\n378 165 432 414 102 129 541 517 318 183 370 562 385 466 360 308 503 184 175 26 554 84 535 456\n203 57 55 534 216 185 92 420 195 209 492 69 337 256 473 85 90 348 377 104 77 25 112 450\n321 372 34 382 242 264 558 468 568 22 425 539 319 381 488 505 471 485 357 477 519 342 198 237\n233 124 304 566 221 280 78 509 538 540 272 118 353 334 72 127 507 504 440 359 202 146 159 506\n181 307 73 441 479 483 547 222 110 291 524 454 24 142 260 172 154 536 6 464 576 17 296 226\n328 21 139 156 317 521 410 232 305 349 196 366 384 83 143 344 537 30 345 467 412 45 61 422\n364 161 279 570 71 283 284 56 253 163 218 66 443 23 33 416 396 403 130 245 50 451 31 339\n231 75 320 192 194 463 241 186 204 487 392 19 3 418 173 389 515 482 491 376 201 168 138 210\n70 293 325 510 522 411 302 98 87 489 511 455 532 335 247 249 228 549 470 301 402 60 383 255\n43 265 299 391 413 38 474 136 444 35 59 395 433 358 262 287 189 4 62 100 208 380 212 9\n387 277 215 234 178 15 8 520 439 97 531 436 449 103 445 338 523 476 516 298 239 347 14 417\n375 190 289 117 252 401 486 151 199 400 484 336 176 10 553 428 330 123 435 356 475 261 368 551\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 206,
        "task_id": 1088,
        "test_case_id": 18,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "12 283\n79 94 106 40 56 35 63 65 68 89 41 140\n109 78 37 38 50 4 70 86 73 74 39 134\n66 130 83 97 2 133 14 87 99 111 60 135\n110 136 21 131 52 84 112 115 100 19 137 143\n5 12 23 62 33 9 6 105 101 113 125 46\n77 18 30 132 15 128 117 43 28 114 126 24\n42 17 57 11 32 67 1 91 93 88 127 139\n8 20 59 90 49 138 16 92 104 118 95 69\n85 54 53 45 7 64 81 103 119 31 129 141\n10 22 82 34 26 124 98 76 75 44 13 3\n121 102 61 47 25 71 27 80 107 116 72 122\n123 55 120 48 29 51 58 96 108 36 142 144\n",
        "output": "350016467\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 207,
        "task_id": 1088,
        "test_case_id": 19,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "7 69\n17 41 47 1 37 48 3\n24 25 15 34 46 42 39\n33 27 40 18 7 13 32\n45 2 44 31 14 30 10\n38 9 11 28 21 16 5\n12 26 4 43 36 23 8\n49 22 19 20 35 29 6\n",
        "output": "288\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 208,
        "task_id": 1088,
        "test_case_id": 20,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "12 274\n119 97 3 4 49 6 13 8 116 38 11 79\n53 14 15 64 37 76 96 20 138 128 130 32\n23 115 27 63 135 30 33 73 31 78 44 62\n17 12 94 40 89 52 57 100 7 66 102 39\n114 46 51 42 136 54 55 56 106 34 2 99\n88 48 50 16 65 86 67 87 140 103 25 60\n5 41 72 18 131 45 21 118 81 82 142 19\n85 92 35 83 22 90 91 75 123 58 36 141\n126 121 93 29 134 105 70 104 71 120 137 108\n26 133 111 112 113 59 10 101 117 80 9 110\n98 122 47 124 74 95 127 28 129 43 77 132\n125 1 68 61 109 84 139 69 107 24 143 144\n",
        "output": "350016467\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 209,
        "task_id": 1088,
        "test_case_id": 21,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "2 5\n1 2\n4 3\n",
        "output": "2\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 210,
        "task_id": 1088,
        "test_case_id": 22,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "14 250\n1 15 139 27 135 79 30 99 29 124 141 155 72 183\n125 16 85 97 58 56 122 126 114 173 48 41 142 17\n3 169 31 147 82 73 22 45 78 129 35 128 171 185\n4 66 176 46 64 187 40 14 162 130 144 161 91 186\n5 70 182 18 107 83 92 103 137 132 102 11 180 74\n6 89 151 38 60 111 90 86 13 115 145 160 105 113\n7 21 143 149 184 77 172 76 119 116 67 196 63 98\n8 87 133 50 49 131 24 136 61 134 148 192 32 190\n9 23 37 51 65 33 93 120 117 57 138 163 177 191\n167 20 170 52 47 80 150 108 157 106 94 55 188 62\n127 164 39 75 101 81 34 71 165 158 95 123 159 193\n12 26 88 100 154 59 96 110 104 118 152 166 179 194\n36 43 156 121 69 53 44 42 2 68 175 10 181 195\n146 28 153 112 178 84 189 174 54 140 19 168 25 109\n",
        "output": "144\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 211,
        "task_id": 1088,
        "test_case_id": 23,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "5 26\n14 9 6 21 19\n16 4 8 12 1\n25 5 15 7 18\n20 17 24 10 23\n3 13 11 22 2\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 212,
        "task_id": 1088,
        "test_case_id": 24,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "6 61\n36 22 23 5 33 27\n12 25 1 3 24 7\n30 8 34 28 26 31\n10 32 14 13 6 9\n17 29 16 20 35 11\n21 18 4 2 15 19\n",
        "output": "518400\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 213,
        "task_id": 1088,
        "test_case_id": 25,
        "question": "Given are an N \\times N matrix and an integer K. The entry in the i-th row and j-th column of this matrix is denoted as a_{i, j}. This matrix contains each of 1, 2, \\dots, N^2 exactly once.\nSigma can repeat the following two kinds of operation arbitrarily many times in any order.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{i, x} + a_{i, y} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th columns.\n - Pick two integers x, y (1 \\leq x < y \\leq N) that satisfy a_{x, i} + a_{y, i} \\leq K for all i (1 \\leq i \\leq N) and swap the x-th and the y-th rows.\nHow many matrices can he obtain by these operations? Find it modulo 998244353.\n\n-----Constraints-----\n - 1 \\leq N \\leq 50\n - 1 \\leq K \\leq 2 \\times N^2\n - a_{i, j}'s are a rearrangement of 1, 2, \\dots, N^2.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\na_{1, 1} a_{1, 2} ... a_{1, N}\na_{2, 1} a_{2, 2} ... a_{2, N}\n:\na_{N, 1} a_{N, 2} ... a_{N, N}\n\n-----Output-----\nPrint the number of matrices Sigma can obtain modulo 998244353.\n\n-----Sample Input-----\n3 13\n3 2 7\n4 8 9\n1 6 5\n\n-----Sample Output-----\n12\n\nFor example, Sigma can swap two columns, by setting x = 1, y = 2. After that, the resulting matrix will be:\n2 3 7\n8 4 9\n6 1 5\n\nAfter that, he can swap two row vectors by setting x = 1, y = 3, resulting in the following matrix:\n6 1 5\n8 4 9\n2 3 7\n",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\ngyou,retu = [],[]\\nans = 1\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        gyou.append((i,j))\\nuf_gyou = UnionFind(N)\\nfor x,y in gyou:\\n    uf_gyou.union(x,y)\\nfor x in uf_gyou.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        retu.append((i,j))\\nuf_retu = UnionFind(N)\\nfor x,y in retu:\\n    uf_retu.union(x,y)\\nfor x in uf_retu.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"import math\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nmod = 998244353\\n\\nclass DSU:\\n    def __init__(self, n):\\n        self.uf = {i: i for i in range(n)}\\n        self.rank = {i: 1 for i in range(n)}\\n\\n    def find(self, x):\\n        if self.uf[x] != x:\\n            self.uf[x] = self.find(self.uf[x])\\n        return self.uf[x]\\n\\n    def union(self, x, y):\\n        px, py = self.find(x), self.find(y)\\n        if px != py:\\n            if self.rank[px] > self.rank[py]:\\n                px, py = py, px\\n            self.rank[py] += self.rank[px]\\n            self.uf[px] = py\\n\\nrow, col = DSU(N), DSU(N)\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(A[i], A[j])):\\n            row.union(i, j)\\nB = list(zip(*A))\\nfor i in range(N):\\n    for j in range(i + 1, N):\\n        if all(a + b <= K for a, b in zip(B[i], B[j])):\\n            col.union(i, j)\\nans = 1\\nfor x in set(row.find(i) for i in range(N)):\\n    ans *= math.factorial(row.rank[x])\\n    ans %= mod\\nfor x in set(col.find(i) for i in range(N)):\\n    ans *= math.factorial(col.rank[x])\\n    ans %= mod\\nprint(ans)\", \"import sys\\nimport math\\n\\ndef input():\\n    return sys.stdin.readline().rstrip()\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n    def all_family_count(self):\\n        return [-min(0,x) for i, x in enumerate(self.parents) ]\\n\\ndef main():\\n    N,K=list(map(int,input().split()))\\n    mod =998244353\\n    A = [[] for _ in range(N)]\\n    for i in range(N):\\n        a = list(map(int,input().split()))\\n        A[i] =a\\n\\n    row = UnionFind(N)\\n    column = UnionFind(N)\\n\\n\\n    #row\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[i][w] +A[j][w] >K:\\n                    break\\n            else:\\n                row.union(i,j)\\n\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            for w in range(N):\\n                if A[w][i] +A[w][j] >K:\\n                    break\\n            else:\\n                column.union(i,j)\\n\\n    root_row  = row.all_family_count()\\n    ans_row =1\\n    for i in range(N):\\n        k = root_row[i]\\n        ans_row *=math.factorial(k)\\n\\n\\n\\n\\n    root_column = column.all_family_count()\\n    ans_column =1\\n    for i in range(N):\\n        k = root_column[i]\\n        ans_column *=math.factorial(k)\\n    \\n\\n\\n\\n    print((ans_column*ans_row%mod))\\n\\n    \\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nufr.allfind()\\nufc.allfind()\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=list(map(int,input().split()))\\nm=998244353\\n\\nP=[-1]*n\\n\\ndef find(x):\\n  if P[x]<0:\\n    return x\\n  P[x]=find(P[x])\\n  return P[x]\\n\\ndef unite(x,y):\\n  x=find(x)\\n  y=find(y)\\n  if x==y:\\n    return\\n\\n  if P[x]>P[y]:\\n    P[y]+=P[x]\\n    P[x]=y\\n  else:\\n    P[x]+=P[y]\\n    P[y]=x\\n\\ndef f(n):\\n  a=1\\n  while n>0:\\n    a*=n\\n    n-=1\\n  return a\\n\\nA=[[int(c) for c in input().split()] for r in range(n)]\\n\\nfor r1 in range(n):\\n  for r2 in range(r1+1,n):\\n    for c in range(n):\\n      if A[r1][c]+A[r2][c]>k:\\n        break\\n    else:\\n      unite(r1,r2)\\n\\na=1\\nfor r in range(n):\\n  if P[r]<0:\\n    a=(a*f(-P[r]))%m\\n\\nP=[-1]*n\\nfor c1 in range(n):\\n  for c2 in range(c1+1,n):\\n    for r in range(n):\\n      if A[r][c1]+A[r][c2]>k:\\n        break\\n    else:\\n      unite(c1,c2)\\n\\nfor c in range(n):\\n  if P[c]<0:\\n    a=(a*f(-P[c]))%m\\n\\nprint(a)\\n\", \"def main():\\n    import sys\\n    from collections import Counter\\n    from math import factorial\\n    input = sys.stdin.readline\\n    MOD = 998244353\\n    N, K = [int(x) for x in input().strip().split()]\\n    A = [0 for n in range(N)]\\n    for n in range(N):\\n        A[n] = [int(x) for x in input().strip().split()]\\n        # print(A[n])\\n    ans = 1\\n    def find(x):\\n        if c[x] == x:\\n            return x\\n        c[x] = find(c[x])\\n        return c[x]\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[n][i] + A[n][j] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n    c = [n for n in range(N)]\\n    for i in range(N-1):\\n        for j in range(i+1, N):\\n            for n in range(N):\\n                if A[i][n] + A[j][n] > K:\\n                    break\\n            else:\\n                if c[j] > c[i]:\\n                    c[j] = c[i]\\n                else:\\n                    c[i] = c[j]\\n    for i in range(N):\\n        find(i)\\n    # print(c)\\n    for d in Counter(c).values():\\n        ans = (ans * factorial(d)) % MOD\\n\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        anc2mem = dict()\\n        for i in range(self._n):\\n            anc = self.leader(i)\\n            if anc in anc2mem:\\n                anc2mem[anc].append(i)\\n            else:\\n                anc2mem[anc] = [i]\\n        return list(anc2mem.values())\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"import sys\\ndef input():\\n\\treturn sys.stdin.readline()[:-1]\\n\\nclass UnionFind():\\n\\tdef __init__(self, size):\\n\\t\\tself.table = [-1 for _ in range(size)]\\n\\t\\tself.size = [1 for _ in range(size)]\\n\\n\\tdef find(self, x):\\n\\t\\twhile self.table[x] >= 0:\\n\\t\\t\\tif self.table[self.table[x]] >= 0:\\n\\t\\t\\t\\tself.table[x] = self.table[self.table[x]]\\n\\t\\t\\tx = self.table[x]\\n\\t\\treturn x\\n\\n\\tdef same(self, x, y):\\n\\t\\treturn self.find(x) == self.find(y)\\n\\n\\tdef unite(self, x, y):\\n\\t\\ts1 = self.find(x)\\n\\t\\ts2 = self.find(y)\\n\\t\\tif s1 != s2:\\n\\t\\t\\tr1 = self.table[s1]\\n\\t\\t\\tr2 = self.table[s2]\\n\\t\\t\\tif r1 <= r2:\\n\\t\\t\\t\\tself.table[s2] = s1\\n\\t\\t\\t\\tif r1 == r2:\\n\\t\\t\\t\\t\\tself.table[s1] -= 1\\n\\t\\t\\t\\tself.size[s1] += self.size[s2]\\n\\t\\t\\t\\tself.size[s2] = 0\\n\\t\\t\\telse:\\n\\t\\t\\t\\tself.table[s1] = s2\\n\\t\\t\\t\\tself.size[s2] += self.size[s1]\\n\\t\\t\\t\\tself.size[s1] = 0\\n\\t\\treturn\\n\\nMOD = 998244353\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nans = 1\\n\\nuf_t = UnionFind(n)\\nuf_y = UnionFind(n)\\n\\nfor s in range(1, n):\\n\\tfor t in range(s):\\n\\t\\tok_y, ok_t = True, True\\n\\t\\tfor i in range(n):\\n\\t\\t\\tif a[s][i] + a[t][i] > k:\\n\\t\\t\\t\\tok_y = False\\n\\t\\t\\tif a[i][s] + a[i][t] > k:\\n\\t\\t\\t\\tok_t = False\\n\\t\\tif ok_y:\\n\\t\\t\\tuf_y.unite(s, t)\\n\\t\\tif ok_t:\\n\\t\\t\\tuf_t.unite(s, t)\\n\\nfact = [1 for _ in range(51)]\\nfor i in range(1, 51):\\n\\tfact[i] = (fact[i-1] * i) % MOD\\n\\nfor i in range(n):\\n\\tif uf_t.size[i] > 0:\\n\\t\\tans *= fact[uf_t.size[i]]\\n\\t\\tans %= MOD\\n\\tif uf_y.size[i] > 0:\\n\\t\\tans *= fact[uf_y.size[i]]\\n\\t\\tans %= MOD\\n\\nprint(ans)\", \"class UnionFind(object):\\n    def __init__(self, n=1):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.size = [1 for _ in range(n)]\\n    def find(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u63a2\\u7d22\\u3057\\u3066\\u89aa\\u3092\\u51fa\\u3059\\u3002\\n        \\\"\\\"\\\"\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d50\\u5408\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.size[x] += self.size[y]\\n    def is_same(self, x, y):\\n        \\\"\\\"\\\"\\n        x \\u3068 y \\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    def get_size(self, x):\\n        \\\"\\\"\\\"\\n        x \\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN,K = map(int,input().split())\\nMOD = 998244353\\n\\nfac = [-1]*(N+1); fac[0] = 1; fac[1] = 1 #\\u968e\\u4e57\\nfinv = [-1]*(N+1); finv[0] = 1; finv[1] = 1 #\\u968e\\u4e57\\u306e\\u9006\\u5143\\ninv = [-1]*(N+1); inv[0] = 0; inv[1] = 1 #\\u9006\\u5143\\nfor i in range(2,N+1):\\n  fac[i] = fac[i-1]*i%MOD\\n  inv[i] = MOD - inv[MOD%i]*(MOD//i)%MOD\\n  finv[i] = finv[i-1]*inv[i]%MOD\\n  \\n  \\nimport numpy as np\\n\\nA = np.array([list(map(int,input().split())) for _ in range(N)])\\n\\nuf0 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf0.union(i,j)\\n\\npar0 = set([])\\nfor i in range(N):\\n  par = uf0.find(i)\\n  par0.add(par)\\n#print(par0)\\n\\nX = 1\\nfor x in par0:\\n  temp = uf0.get_size(x)\\n  X = X*fac[temp]%MOD\\n\\nA = A.T\\n#print(A)\\n\\nuf1 = UnionFind(N)\\nfor i in range(N):\\n  for j in range(N):\\n    if i == j:\\n      continue\\n    for k in range(N):\\n      if A[i,k] + A[j,k] > K:\\n        break\\n    else:\\n      uf1.union(i,j)\\n\\npar1 = set([])\\nfor i in range(N):\\n  par = uf1.find(i)\\n  par1.add(par)\\n\\nY = 1\\nfor y in par1:\\n  temp = uf1.get_size(y)\\n  Y = Y*fac[temp]%MOD\\n#print(Y)\\n\\nans = X*Y%MOD\\nprint(ans)\", \"#!/usr/bin/env python3\\nimport sys\\nfrom collections import deque, Counter\\nfrom heapq import heappop, heappush\\nfrom bisect import bisect_right\\nfrom itertools import accumulate\\n\\nsys.setrecursionlimit(10**6)\\nINF = 10**12\\nm = 998244353\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.parents = list(range(n))\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] == x:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.size[x] < self.size[y]:\\n                x, y = y, x\\n            self.parents[y] = x\\n            self.size[x] += self.size[y]\\n\\n\\ndef main():\\n    N, K = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(N)]\\n    ans = 1\\n\\n    p = 998244353\\n    a = [None] * (N+1)\\n    inva = [None] * (N+1)\\n    a[0] = 1\\n\\n    for i in range(1, N+1):\\n        a[i] = i * a[i-1] % p\\n\\n    inva[N] = pow(a[N], p-2, p)\\n    for i in range(N):\\n        inva[N-i-1] = inva[N-i] * (N-i) % p\\n\\n    rowuf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    break\\n            else:\\n                rowuf.union(x, y)\\n\\n    rows = []\\n    for i in range(N):\\n        rows.append(rowuf.find(i))\\n\\n    # print(rows)\\n    for l in list(Counter(rows).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    coluf = UnionFind(N)\\n    for x in range(N):\\n        for y in range(x + 1, N):\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    break\\n            else:\\n                coluf.union(x, y)\\n    cols = []\\n    for i in range(N):\\n        cols.append(coluf.find(i))\\n\\n    # print(cols)\\n    for l in list(Counter(cols).values()):\\n        ans *= a[l]\\n        ans %= p\\n\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"class union_find:\\n  def __init__(self, n):\\n    self.par = [-1] * n\\n\\n  def find(self, x):#x\\u306e\\u89aa\\u3092\\u898b\\u3064\\u3051\\u308b\\n    if self.par[x] < 0:\\n      return x\\n    else:\\n      self.par[x] = self.find(self.par[x])\\n      return self.par[x]\\n\\n  def unite(self,x,y):#\\u8981\\u7d20x\\u3068\\uff59\\u3092\\u4f75\\u5408\\u3055\\u305b\\u308b\\n    x,y=self.find(x),self.find(y)#x\\u3068y\\u306e\\u89aa\\u306e\\u691c\\u7d22\\n    if x!=y:#\\u89aa\\u304c\\u7570\\u306a\\u308b\\u5834\\u5408\\u4f75\\u5408\\u3055\\u305b\\u308b\\n      if x>y:\\n        x,y=y,x#\\u5c0f\\u3055\\u3044\\u65b9\\u3092x\\u3068\\u3059\\u308b. \\u3053\\u308c\\u306b\\u3088\\u308a\\u8981\\u7d20\\u306e\\u5024\\u304c\\u5c0f\\u3055\\u3044\\u3082\\u306e\\u3092\\u512a\\u5148\\u3057\\u3066\\u6728\\u306e\\u6839\\u3068\\u3059\\u308b. \\n      self.par[x]+=self.par[y] #\\u5024\\u3092\\u7121\\u5411\\u6728\\u306e\\u8981\\u7d20\\u6570\\u306e\\u548c\\u306b\\u3059\\u308b.\\n      self.par[y]=x #\\u679d\\u5074\\u306f\\u6839\\u306e\\u4f4d\\u7f6e\\u3092\\u683c\\u7d0d\\n\\n  def same(self, x, y):#\\u8981\\u7d20x\\u3068\\u8981\\u7d20y\\u304c\\u540c\\u3058\\u7121\\u5411\\u6728\\u306b\\u6240\\u5c5e\\u3057\\u3066\\u3044\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n    return self.find(x) == self.find(y)#\\u540c\\u3058\\u5024\\u3092\\u6301\\u3064\\u304b\\u5426\\u304b\\n\\n  def size(self, x):#\\u8981\\u7d20x\\u304c\\u6240\\u5c5e\\u3059\\u308b\\u7121\\u5411\\u6728\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\n    return-self.par[self.find(x)] \\n\\nimport itertools  \\nmod = 998244353\\ndef main():\\n  n, k = map(int,input().split())\\n  factorial = [1]\\n  for i in range(1, n+1):\\n    factorial.append(factorial[i-1]*i%mod)\\n  a = []\\n  for i in range(n):\\n    a.append(list(map(int, input().split())))\\n  gyou = union_find(n)\\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[x][i] + a[y][i] > k:\\n        flag = False\\n        break\\n    if flag:\\n      gyou.unite(x, y)\\n  retu = union_find(n)\\n  \\n  for x, y in itertools.combinations(range(n), 2):\\n    flag = True\\n    for i in range(n):\\n      if a[i][x] + a[i][y] > k:\\n        flag = False\\n        break\\n    if flag:\\n      retu.unite(x, y)\\n  ans = 1\\n  for i in range(len(retu.par)):\\n    if retu.par[i] < 0:\\n      ans *=factorial[-retu.par[i]]\\n    ans %= mod\\n  for i in range(len(gyou.par)):\\n    if gyou.par[i] < 0:\\n      ans *= factorial[-gyou.par[i]]\\n    ans %= mod\\n  print(ans)  \\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"class dsu():\\n    \\\"\\\"\\\"Data structures and algorithms for disjoint set union problems.\\n    \\n    Given an undirected graph, it processes the following queries in O(alpha(n)) time (amortized).\\n\\n    >   Edge addition\\n    \\n    >   Deciding whether given two vertices are in the same connected component\\n\\n    Each connected component internally has a representative vertex.\\n\\n    When two connected components are merged by edge addition, one of the two representatives of these connected components becomes the representative of the new connected component.\\n    \\\"\\\"\\\"\\n\\n\\n    __slots__ = [\\\"_n\\\", \\\"parent_or_size\\\"]\\n\\n\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\n        It creates an undirected graph with n vertices and 0 edges.\\n        \\n        Constraints\\n        -----------\\n\\n        >   0 <= n <= 10 ** 8\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        self._n = n\\n        self.parent_or_size = [-1] * n\\n    \\n    \\n    def merge(self, a, b):\\n        \\\"\\\"\\\"\\n        It adds an edge (a, b).\\n\\n        If the vertices a and b were in the same connected component, it returns the representative of this connected component. Otherwise, it returns the representative of the new connected component.\\n       \\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n \\n\\n        >   0 <= b < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y:\\n            return x\\n        else:\\n            if self.parent_or_size[y] < self.parent_or_size[x]:\\n                x, y = y, x\\n            self.parent_or_size[x] += self.parent_or_size[y]\\n            self.parent_or_size[y] = x\\n\\n\\n    def same(self, a, b):\\n        \\\"\\\"\\\"\\n        It returns whether the vertices a and b are in the same connected component.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        >   0 <= b < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        # assert 0 <= b < self._n\\n        return self.leader(a) == self.leader(b)\\n\\n\\n    def leader(self, a):\\n        \\\"\\\"\\\"\\n        It returns the representative of the connected component that contains the vertex a.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n\\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        path = []\\n        while self.parent_or_size[a] >= 0:\\n            path.append(a)\\n            a = self.parent_or_size[a]\\n        for child in path:\\n            self.parent_or_size[child] = a\\n        return a\\n\\n    \\n    def size(self, a):\\n        \\\"\\\"\\\"\\n        It returns the size of the connected component that contains the vertex aa.\\n\\n        Constraints\\n        -----------\\n\\n        >   0 <= a < n\\n        \\n        Complexity\\n        ----------\\n\\n        >   O(alpha(n)) amortized\\n        \\\"\\\"\\\"\\n        # assert 0 <= a < self._n\\n        return -self.parent_or_size[self.leader(a)]\\n\\n\\n    def groups(self):\\n        \\\"\\\"\\\"\\n        It divides the graph into connected components and returns the list of them.\\n\\n        More precisely, it returns the list of the \\\"list of the vertices in a connected component\\\". Both of the orders of the connected components and the vertices are undefined.\\n\\n        Complexity\\n        ----------\\n\\n        >   O(n)\\n        \\\"\\\"\\\"\\n        result = [[] for _ in range(self._n)]\\n        for i in range(self._n):\\n            result[self.leader(i)].append(i)\\n        return [g for g in result if g]\\n\\n\\n\\nMOD = 998244353\\ntable_len = 110\\n\\nfac = [1, 1]\\nfor i in range(2, table_len):\\n    fac.append(fac[-1] * i % MOD)\\n\\nfinv = [0] * table_len\\nfinv[-1] = pow(fac[-1], MOD - 2, MOD)\\nfor i in range(table_len-1, 0, -1):\\n    finv[i-1] = finv[i] * i % MOD\\n\\nN, K = list(map(int, input().split()))\\nAs = [list(map(int, input().split())) for _ in range(N)]\\n\\ndef solve_row(mat):\\n    uf = dsu(N)\\n    for i in range(N):\\n        for j in range(i + 1, N):\\n            for k in range(N):\\n                if mat[i][k] + mat[j][k] > K:\\n                    break\\n            else:\\n                uf.merge(i, j)\\n    groups = uf.groups()\\n    ret = 1\\n    for g in groups:\\n        ret *= fac[len(g)]\\n        ret %= MOD\\n    return ret\\n\\ntAs = list(map(list, list(zip(*As))))\\nprint((solve_row(As) * solve_row(tAs) % MOD))\\n\\n\", \"class DSU:\\n    def __init__(self, N):\\n        # stores parent node of given vertex\\n        self.parents = list(range(N))\\n        # gives size of component w given node\\n        self.size = [1] * N\\n\\n    # runtime: amoritized O(1)\\n    # returns root node\\n    def find(self, x):\\n        root = x\\n        # finds parent node at the end of the chain\\n        while self.parents[root] != root:\\n            root = self.parents[root]\\n\\n        # optional: path compression\\n        while (x != root):\\n            nextx = self.parents[x]\\n            self.parents[x] = root\\n            x = nextx\\n        \\n        return root\\n\\n    # runtime: amortized O(1) by combining union by size and path compression\\n    # unifies two components together (the ones containing x and y)\\n    def union(self, x, y):\\n        xr, yr = self.find(x), self.find(y)\\n        # if they're in same group, do nothing\\n        if xr == yr:\\n            return False\\n\\n        if self.size[xr] > self.size[yr]:\\n            xr, yr = yr, xr\\n        # size of xr >= size of yr\\n        # smaller points to the larger\\n        self.parents[xr] = yr\\n        self.size[xr] += self.size[yr]\\n        self.size[yr] = self.size[xr]\\n        return True\\n\\n    def isConnected(self,x,y):\\n        return self.find(x) == self.find(y)\\n\\n    def getSize(self, x):\\n        return self.size[self.find(x)]\\n\\n\\n# from collections import defaultdict, Counter, deque\\n# from heapq import heappop, heappush, heapify\\n# from functools import lru_cache, reduce\\n# import bisect\\n# from itertools import permutations, combinations, combinations_with_replacement\\nfrom math import factorial as f\\n\\nmod = 998244353\\nn, K = list(map(int, input().split()))\\narr = []\\nfor _ in range(n):\\n    arr.append( list(map(int, input().split())) )\\n\\n# num of pairs you can swap\\nrow_dsu = DSU(n)\\ncol_dsu = DSU(n)\\n\\n# find rows\\nfor i in range(n):\\n    for j in range(i):\\n        if all(arr[i][k] + arr[j][k] <= K for k in range(n)):\\n            row_dsu.union(i,j)\\n        if all(arr[k][i] + arr[k][j] <= K for k in range(n)):\\n            col_dsu.union(i,j)\\n    \\nrow_set = set()\\ncol_set = set()\\nfor i in range(n):\\n    row_set.add(row_dsu.find(i))\\n    col_set.add(col_dsu.find(i))\\n\\nrow_prod = col_prod = 1\\nfor ele in row_set:\\n    row_prod *= f(row_dsu.size[ele])\\nfor ele in col_set: \\n    col_prod *= f(col_dsu.size[ele])\\n\\nprint(((row_prod * col_prod) % mod))\\n\\n\", \"import sys\\nfrom math import factorial\\nsys.setrecursionlimit(10**9)\\nread = lambda:sys.stdin.readline()\\n\\ndef read_ints():\\n    return list(map(int,read().split()))\\ndef read_intgrid(h):\\n    return list(list(map(int,read().split()))for i in range(h))\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n        self.rank = [0] * n\\n        self.group_count = n\\n        self.n = n\\n    \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        \\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.rank[x] == self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n            self.rank[x] += 1\\n        \\n        elif self.rank[x] > self.rank[y]:\\n            self.parents[x] += self.parents[y]\\n            self.parents[y] = x\\n        else:\\n            self.parents[y] += self.parents[x]\\n            self.parents[x] = y\\n        \\n        self.group_count -= 1\\n    \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == x]\\n    \\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n \\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parents) if n < 0}\\n\\ndef f(x):\\n    tmp = 1\\n    while x>0:\\n        tmp*=x\\n        x-=1\\n    return tmp\\n\\ndef main():\\n    #input data\\n    n,k = map(int,input().split())\\n    A = read_intgrid(n)\\n\\n    mod = 998244353\\n\\n    #solve\\n    ans = 1\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    # fix by columns\\n    for i in range(n-1):\\n        for j in range(i+1,n):\\n            if all(A[i][c]+A[j][c]<=k for c in range(n)):\\n                uf1.unite(i,j)\\n            if all(A[c][i]+A[c][j]<=k for c in range(n)):\\n                uf2.unite(i,j)\\n\\n    for k,v in uf1.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n\\n    for k,v in uf2.get_all_groups().items():\\n        ans*=f(v)\\n        ans%=mod\\n    \\n    return print(ans)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"class UnionFind:\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n        \\nimport itertools\\n\\nN,K = map(int,input().split())\\nl = [list(map(int,input().split())) for i in range(N)]\\n#print(l)\\na = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[i][v[0]] + l[i][v[1]] > K:\\n            break\\n        if i == N-1:\\n            a.union(v[0],v[1])\\n#print(a)\\n        \\nb = UnionFind(N)\\nfor v in itertools.combinations(range(N),2):\\n    for i in range(N):\\n        if l[v[0]][i] + l[v[1]][i] > K:\\n            break\\n        if i == N-1:\\n            b.union(v[0],v[1])\\n#print(b)\\n\\nans = 1\\n\\nfor x in a.roots():\\n    for i in range(1,a.size(x)+1):\\n        ans = (ans * i)%998244353\\nfor x in b.roots():\\n    for i in range(1,b.size(x)+1):\\n        ans = (ans * i)%998244353\\n    \\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(j)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"n,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nretu=[]\\ngyou=[]\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        for p in range(n):\\n            if a[i][p]+a[j][p]>k:\\n                break\\n        else:\\n            gyou.append([i,j])\\n        for q in range(n):\\n            if a[q][i]+a[q][j]>k:\\n                break\\n        else:\\n            retu.append([i,j])\\n\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\nretuuf=UnionFind(n)\\ngyouuf=UnionFind(n)\\n\\nfor i in retu:\\n    retuuf.union(i[0],i[1])\\nfor i in gyou:\\n    gyouuf.union(i[0],i[1])\\n\\ngyouans=1\\nretuans=1\\n\\nretulist=list(retuuf.all_group_members().values())\\ngyoulist=list(gyouuf.all_group_members().values())\\n\\nimport math\\n\\nfor i in retulist:\\n    retuans*=math.factorial(len(i))\\nfor i in gyoulist:\\n    gyouans*=math.factorial(len(i))\\n\\nprint(retuans*gyouans%998244353)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import bisect, copy, heapq, math, sys\\nfrom collections import *\\nfrom functools import lru_cache\\nfrom itertools import accumulate, combinations, permutations, product\\ndef input():\\n    return sys.stdin.readline()[:-1]\\ndef ruiseki(lst):\\n    return [0]+list(accumulate(lst))\\ndef celi(a,b):\\n    return -(-a//b)\\nsys.setrecursionlimit(5000000)\\nmod=998244353\\nal=[chr(ord('a') + i) for i in range(26)]\\ndirection=[[1,0],[0,1],[-1,0],[0,-1]]\\n\\nn,k=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\n\\nclass WeightedUnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n+1)]\\n        self.rank = [0] * (n+1)\\n        self.weight = [0] * (n+1)\\n        self.sizes = [1] * (n+1)\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            y = self.find(self.par[x])\\n            self.weight[x] += self.weight[self.par[x]]\\n            self.par[x] = y\\n            return y\\n\\n    def union(self, x, y, w=1):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        if self.rank[rx] < self.rank[ry]:\\n            self.sizes[ry] += self.size(rx)\\n            self.par[rx] = ry\\n            self.weight[rx] = w - self.weight[x] + self.weight[y]\\n        else:\\n            self.sizes[rx] += self.size(ry)\\n            self.par[ry] = rx\\n            self.weight[ry] = -w - self.weight[y] + self.weight[x]\\n            if self.rank[rx] == self.rank[ry]:\\n                self.rank[rx] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def diff(self, x, y):\\n        return self.weight[x] - self.weight[y]\\n\\n    def size(self, x):\\n        return self.sizes[self.find(x)]\\n# print(a)\\nretsu=WeightedUnionFind(n)\\ngyo=WeightedUnionFind(n)\\n\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[l][i]+a[l][j]>k:\\n                break\\n        else:\\n            if not retsu.same(i,j):\\n                retsu.union(i,j)\\n# print(retsu)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        for l in range(n):\\n            if a[i][l]+a[j][l]>k:\\n                break\\n        else:\\n            if not gyo.same(i,j):\\n                gyo.union(i,j)\\n\\nans=1\\ndef keisan(ans,m):\\n    for i in range(m):\\n        ans*=i+1\\n        ans%=mod\\n    return ans\\n\\n# print(retsu.par)\\n# print(gyo.par)\\n\\nfor i in range(n):\\n    if i==retsu.find(i):\\n        ans=keisan(ans,retsu.size(i))\\n    if i==gyo.find(i):\\n        ans=keisan(ans,gyo.size(i))\\nprint(ans)\", \"from math import factorial\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    \\n    #\\u8981\\u7d20x\\u304c\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u6839\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u4f75\\u5408\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    #x\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30b5\\u30a4\\u30ba\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nans = 1\\nflag = 1\\n\\nuf = UnionFind(n)\\n# \\u884c\\u65b9\\u5411\\nfor r1 in range(n):\\n    for r2 in range(r1+1, n):\\n        for c in range(n):\\n            flag = 1\\n            if a[r1][c]+a[r2][c] > k:\\n                flag = 0\\n                break\\n        \\n        if flag:\\n            uf.union(r1, r2)\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\n\\nuf = UnionFind(n)\\n\\n# \\u5217\\nfor c1 in range(n):\\n    for c2 in range(c1+1, n):\\n        for r in range(n):\\n            flag = 1\\n            if a[r][c1]+a[r][c2] > k:\\n                flag = 0\\n                break\\n        if flag:\\n            uf.union(c1, c2)\\n\\nfor i in range(n):\\n    if uf.parents[i] < 0:\\n        ans *= factorial(uf.size(i))\\n        ans %= mod\\nprint(ans)\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"n, k = list(map(int, input().split()))\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\ndef Find(x, par):\\n    if par[x] < 0:\\n        return x\\n    else:\\n        par[x] = Find(par[x], par)\\n        return par[x]\\n\\ndef Unite(x, y, par, rank):\\n    x = Find(x, par)\\n    y = Find(y, par)\\n\\n    if x != y:\\n        if rank[x] < rank[y]:\\n            par[y] += par[x]\\n            par[x] = y\\n        else:\\n            par[x] += par[y]\\n            par[y] = x\\n            if rank[x] == rank[y]:\\n                rank[x] += 1\\n\\ndef Same(x, y, par):\\n    return Find(x, par) == Find(y, par)\\n\\ndef Size(x, par):\\n    return -par[Find(x, par)]\\n\\npar1 = [-1]*n\\nrank1 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[x][i]+A[y][i] > k:\\n                break\\n        else:\\n            Unite(x, y, par1, rank1)\\n\\npar2 = [-1]*n\\nrank2 = [0]*n\\nfor x in range(n):\\n    for y in range(n):\\n        for i in range(n):\\n            if A[i][x]+A[i][y] > k:\\n                break\\n        else:\\n            Unite(x, y, par2, rank2)\\n\\nN = 1000\\nmod = 998244353\\nfac = [1]*(N+1)\\nfinv = [1]*(N+1)\\nfor i in range(N):\\n    fac[i+1] = fac[i] * (i+1) % mod\\nfinv[-1] = pow(fac[-1], mod-2, mod)\\nfor i in reversed(list(range(N))):\\n    finv[i] = finv[i+1] * (i+1) % mod\\n\\nans = 1\\nfor i in par1:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nfor i in par2:\\n    if i < 0:\\n        ans *= fac[-i]\\n        ans %= mod\\nprint(ans)\\n\", \"from collections import defaultdict\\nimport math\\nimport numpy as np\\n\\nn, k = map(int, input().split())\\na_lists = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\n\\na_lists = np.array(a_lists)\\n\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\n\\ndef count_point(np_array):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        a = np_array[i]\\n        for j in range(i, n):\\n            b = np_array[j]\\n            if np.count_nonzero(a + b <= k) == n:\\n                uf.union(i, j)\\n    point = 1\\n    for i, j in uf.all_group_members().items():\\n        point *= math.factorial(len(j))\\n        point %= mod\\n    return point\\n\\nans = count_point(a_lists)\\na_lists_T = a_lists.T\\nans *= count_point(a_lists_T)\\nans %= mod\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\ndata=[list(map(int,input().split())) for i in range(N)]\\nimport math\\n#\\u884c\\nans1=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[i][k]+data[j][k]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans1.append([i,j])\\n#\\u5217\\nans2=[]\\nfor i in range(N-1):\\n    for j in range(i+1,N):\\n        m=0\\n        for k in range(N):\\n            if data[k][i]+data[k][j]>K:\\n                m+=1\\n                break\\n        if m==0:\\n            ans2.append([i,j])\\n#\\u884c\\nli1=[[] for i in range(N)]\\nfor i in range(len(ans1)):\\n    li1[ans1[i][0]].append(ans1[i][1])\\n    li1[ans1[i][1]].append(ans1[i][0])\\nL1=[-1]*N\\nfor i in range(N):\\n    if L1[i]!=-1:\\n        continue\\n    L1[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li1[x]:\\n            if L1[j]==-1:\\n                L1[j]=i\\n                deque.append(j)\\nnum1=1\\nl1=list(set(L1))\\nfor i in l1:\\n    num1*=int(math.factorial(L1.count(i)))\\n    num1=num1%998244353\\n#\\u5217\\nli2=[[] for i in range(N)]\\nfor i in range(len(ans2)):\\n    li2[ans2[i][0]].append(ans2[i][1])\\n    li2[ans2[i][1]].append(ans2[i][0])\\nL2=[-1]*N\\nfor i in range(N):\\n    if L2[i]!=-1:\\n        continue\\n    L2[i]=i\\n    deque=[i]\\n    while deque:\\n        x=deque.pop(0)\\n        for j in li2[x]:\\n            if L2[j]==-1:\\n                L2[j]=i\\n                deque.append(j)\\nnum2=1\\nl2=list(set(L2))\\nfor i in l2:\\n    num2*=int(math.factorial(L2.count(i)))\\n    num2=num2%998244353\\nprint((num1*num2)%998244353)\", \"import sys\\nread=sys.stdin.readline\\ndef MAP():\\n    return map(int,read().split())\\ndef I():\\n    return int(read())\\ndef LI():\\n    return list(map(int,read().split()))\\n    \\nMOD=998244353\\n\\nclass UnionFind:\\n    def __init__(self,N):\\n        self.par=[i for i in range(N)]\\n        self.siz=[1 for _ in range(N)]\\n        self.rank=[0 for _ in range(N)]\\n    def find(self,x):\\n        if self.par[x]==x:\\n            return x\\n        else:\\n            self.par[x]=self.find(self.par[x])\\n            return self.par[x]\\n    def union(self,a,b):\\n        a=self.find(a)\\n        b=self.find(b)\\n        if a==b:\\n            return 0\\n        else:\\n            if self.rank[a]>self.rank[b]:\\n                self.par[b]=a\\n                self.siz[a]+=self.siz[b]\\n            else:\\n                self.par[a]=b\\n                self.siz[b]+=self.siz[a]\\n                if self.rank[a]==self.rank[b]:\\n                    self.rank[b]+=1\\n    def size(self,a):\\n        return self.siz[self.find(a)]\\n    def same(self,a,b):\\n        return self.find(a)==self.find(b)\\n\\nN,K=MAP()\\na=[LI() for _ in range(N)]\\nUFg=UnionFind(N)\\nUFr=UnionFind(N)\\nfac=[1]*(N+1)\\nfor i in range(2,N+1):\\n    fac[i]=fac[i-1]*i%MOD\\n\\nfor i in range(N):\\n    for j in range(i):\\n        isokg=True\\n        isokr=True\\n        for k in range(N):\\n            if a[i][k]+a[j][k]>K:\\n                isokg=False\\n            if a[k][i]+a[k][j]>K:\\n                isokr=False\\n        if isokg:\\n            UFg.union(i,j)\\n        if isokr:\\n            UFr.union(i,j)\\n\\nfrom collections import Counter\\ndicg=Counter([UFg.find(i) for i in range(N)])\\ndicr=Counter([UFr.find(i) for i in range(N)])\\n\\nresg,resr=1,1\\nfor x,size in dicg.items():\\n    resg=resg*fac[size]%MOD\\nfor y,size in dicr.items():\\n    resr=resr*fac[size]%MOD\\nprint(resg*resr%MOD)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nckey=set(ufc.par)\\nrkey=set(ufr.par)\\n\\nans=1\\n\\nfor k in ckey:\\n    x=ufc.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rkey:\\n    x=ufr.size(k)\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\\n\", \"class DisjointSetUnion():\\n    def __init__(self, n):\\n        self.n = n\\n        self.par_size = [-1] * n\\n\\n    def merge(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        x = self.leader(a)\\n        y = self.leader(b)\\n        if x == y: return x\\n        if -self.par_size[x] < -self.par_size[y]: x, y = y, x\\n        self.par_size[x] += self.par_size[y]\\n        self.par_size[y] = x\\n        return x\\n\\n    def same(self, a, b):\\n        #assert 0 <= a < self.n\\n        #assert 0 <= b < self.n\\n        return self.leader(a) == self.leader(b)\\n\\n    def leader(self, a):\\n        #assert 0 <= a < self.n\\n        x = a\\n        while self.par_size[x] >= 0:\\n            x = self.par_size[x]\\n        while self.par_size[a] >= 0:\\n            self.par_size[a] = x\\n            a = self.par_size[a]\\n        return x\\n\\n    def size(self, a):\\n        #assert 0 <= a < self.n\\n        return -self.par_size[self.leader(a)]\\n\\ndef build_factorial(n):\\n    fct = [0] * (n + 1)\\n    inv = [0] * (n + 1)\\n    fct[0] = inv[0] = 1\\n    for i in range(n):\\n        fct[i + 1] = fct[i] * (i + 1) % MOD\\n    inv[n] = pow(fct[n], MOD - 2, MOD)\\n    for i in range(n)[::-1]:\\n        inv[i] = inv[i + 1] * (i + 1) % MOD\\n    return fct, inv\\n\\nMOD = 998244353\\nfrom itertools import combinations\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n\\nuf1 = DisjointSetUnion(N)\\nuf2 = DisjointSetUnion(N)\\n\\nfor i, j in combinations(range(N), 2):\\n    for k in range(N):\\n        if A[i][k] + A[j][k] > K:\\n            break\\n    else:\\n        uf1.merge(i, j)\\n        \\n    for k in range(N):\\n        if A[k][i] + A[k][j] > K:\\n            break\\n    else:\\n        uf2.merge(i, j)\\n\\nfct, inv = build_factorial(N)\\nres = 1\\n\\nfor i in range(N):\\n    if uf1.par_size[i] < 0:\\n        res *= fct[-uf1.par_size[i]]\\n        res %= MOD\\n    if uf2.par_size[i] < 0:\\n        res *= fct[-uf2.par_size[i]]\\n        res %= MOD\\n\\nprint(res)\", \"N,K = map(int,input().split())\\n\\nA = [list(map(int,input().split())) for _ in [0]*N]\\nMOD = 998244353\\nB = [[A[j][i] for j in range(N)] for i in range(N)]\\n\\ndef f(A):\\n    import sys\\n    sys.setrecursionlimit(10**7)\\n\\n    class UnionFind:\\n        def __init__(self,N):\\n            self.Parent = list(range(N))\\n            self.size = [1]*N\\n        def get_Parent(self,n):\\n            if self.Parent[n] == n:return n\\n            p = self.get_Parent(self.Parent[n])\\n            self.Parent[n] = p\\n            return p\\n        def get_size(self,n):\\n            return self.size[self.get_Parent(n)]\\n        def merge(self,x,y):\\n            x = self.get_Parent(x)\\n            y = self.get_Parent(y)\\n            if x!=y:\\n                if self.get_size(x) < self.get_size(y):\\n                    x,y = y,x\\n                self.size[x] += self.size[y]\\n                self.Parent[y] = x\\n                return True\\n            return False\\n        def is_united(self,x,y):\\n            return self.get_Parent(x)==self.get_Parent(y)\\n\\n    U_row = UnionFind(N)\\n    for i in range(N):\\n        for j in range(i+1,N):\\n            if U_row.is_united(i,j): continue\\n            for k in range(N):\\n                if A[i][k] + A[j][k] > K:break\\n            else:\\n                U_row.merge(i,j)\\n\\n    ans = 1\\n    for i in range(N):\\n        j = U_row.get_Parent(i)\\n        if i==j:\\n            tmp = 1\\n            s = U_row.get_size(i)\\n            for k in range(2,s+1):\\n                tmp = tmp*k%MOD\\n            ans = ans*tmp%MOD\\n    return ans%MOD\\n\\nans = f(A)*f(B)%MOD\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.par = [i for i in range(n)]\\n        self.rank = [0] * n\\n        self.size = [1] * n\\n\\n    def find(self, x):\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def same_check(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if self.rank[x] < self.rank[y]:\\n            if not self.same_check(x, y):\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            self.par[x] = y\\n        else:\\n            if not self.same_check(x, y):\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n            self.par[y] = x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def siz(self, x):\\n        x = self.find(x)\\n        return self.size[x]\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nUFX = UnionFind(N)\\nUFY = UnionFind(N)\\nmod = 998244353\\n\\nfact = [1]\\nfor i in range(1, N+1):\\n    fact.append(fact[-1] * i)\\n\\nfor i in range(1, N):\\n    for j in range(i):\\n        flag = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFY.union(i, j)\\n        flag = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                flag = False\\n                break\\n        if flag:\\n            UFX.union(i, j)\\nans = 1\\n\\nfor i in range(N):\\n    if UFX.find(i) == i:\\n        ans *= fact[UFX.siz(i)]\\n        ans %= mod\\n    if UFY.find(i) == i:\\n        ans *= fact[UFY.siz(i)]\\n        ans %= mod\\n\\nprint(ans)\", \"class UnionFind:\\n  '''\\n  UnionFind(n) : n\\u9802\\u70b90\\u8fba\\u306e\\u7121\\u5411\\u30b0\\u30e9\\u30d5\\u3092\\u69cb\\u7bc9\\u3059\\u308b O(n)\\n    p:\\u89aa\\u30ce\\u30fc\\u30c9\\u756a\\u53f7(\\u4ee3\\u8868\\u5143\\u4ee5\\u5916)\\u3001\\u6728\\u306e\\u30b5\\u30a4\\u30ba\\u306e\\u8ca0\\u6570(\\u4ee3\\u8868\\u5143)\\u3092\\u683c\\u7d0d\\n  leader(a)    : a\\u306e\\u5c5e\\u3059\\u308b\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  merge(a,b)   : a,b\\u3092\\u8fba\\u3067\\u7d50\\u3073\\u3001\\u4ee3\\u8868\\u5143\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  same(a,b)    : a,b\\u304c\\u9023\\u7d50\\u304b\\u5426\\u304b\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  size(a)      : a\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u30b5\\u30a4\\u30ba\\u3092\\u8fd4\\u3059 O(\\u03b1(n))\\n  count()      : \\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u3092\\u8fd4\\u3059 O(n)\\n  groups()     : \\u30b0\\u30e9\\u30d5\\u3092set\\u306b\\u30b0\\u30eb\\u30fc\\u30d7\\u5206\\u3051\\u3057\\u3066\\u8fd4\\u3059 O(n)\\n  '''\\n  def __init__(self, n):\\n    self.n = n\\n    self.p = [-1]*n\\n  def leader(self, a):\\n    while self.p[a]>=0:\\n      a = self.p[a]\\n    return a\\n  def merge(self, a, b):\\n    x = self.leader(a)\\n    y = self.leader(b)\\n    if x==y:\\n      return x\\n    if self.p[x]>self.p[y]:\\n      x, y = y, x\\n    self.p[x] += self.p[y]\\n    self.p[y] = x\\n    return x\\n  def same(self, a, b):\\n    return self.leader(a)==self.leader(b)\\n  def size(self, a):\\n    return -self.p[self.leader(a)]\\n  def count(self):\\n    return sum(i<0 for i in self.p)\\n  def groups(self):\\n    leader_buf = [0]*self.n\\n    group_size = [0]*self.n\\n    res = [set() for _ in range(self.n)]\\n    for i in range(self.n):\\n      leader_buf[i] = self.leader(i)\\n      group_size[leader_buf[i]] += 1\\n    for i in range(self.n):\\n      res[leader_buf[i]].add(i)\\n    res = [s for s in res if s]\\n    return res\\n\\nf=lambda:map(int,input().split())\\nn,k=f()\\nA=[[*f()] for _ in range(n)]\\nufh,ufw=UnionFind(n),UnionFind(n)\\nfor y in range(n):\\n  for x in range(y):\\n    if all(A[h][x]+A[h][y]<=k for h in range(n)):\\n      ufw.merge(x,y)\\n    if all(A[x][w]+A[y][w]<=k for w in range(n)):\\n      ufh.merge(x,y)\\nM=998244353\\nF=[1]\\nfor i in range(1,51): F+=[i*F[-1]%M]\\nc=1\\nfor i in range(n):\\n  if ufh.p[i]<0: c=c*F[-ufh.p[i]]%M\\n  if ufw.p[i]<0: c=c*F[-ufw.p[i]]%M\\nprint(c)\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        from array import array\\n\\n        self.n = n\\n        self.parent = array('l', (-1 for _ in range(n)))\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_r *= factorial(x)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for gr in uf.groups():\\n        x = len(gr)\\n        cnt_c *= factorial(x)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nimport numpy as np\\nfrom itertools import combinations\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n    \\n    def roots_size(self):\\n        return [-x for x in self.parents if x < 0]\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\ndef main():\\n    mod = 998244353\\n    n, k = map(int, input().split())\\n    A = np.array(sys.stdin.read().split(), dtype=np.int64).reshape((n, -1))\\n    uf_r = UnionFind(n)\\n    uf_c = UnionFind(n)\\n    for i, j in combinations(range(n), 2):\\n        if np.all(A[i, :] + A[j, :] <= k):\\n            uf_r.union(i, j)\\n        if np.all(A[:, i] + A[:, j] <= k):\\n            uf_c.union(i, j)\\n    s = 1\\n    factorial_table = [1]\\n    for i in range(1, n + 1):\\n        s *= i\\n        s %= mod\\n        factorial_table.append(s)\\n    ans = 1\\n    for size in uf_r.roots_size() + uf_c.roots_size():\\n        ans *= factorial_table[size]\\n        ans %= mod\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import itertools\\nimport numpy as np\\nfrom networkx.utils import UnionFind\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([tuple(map(int, input().split())) for _ in range(N)])\\n\\nMOD = 998244353\\nMAX = 50\\nfactorial = [1] * (MAX + 1)\\nfor i in range(1, MAX + 1):\\n    factorial[i] = factorial[i - 1] * i % MOD\\n\\nuf_row = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[:, i] + A[:, j] <= K):\\n        uf_row.union(i, j)\\nuf_col = UnionFind(list(range(N)))\\nfor i, j in itertools.combinations(list(range(N)), 2):\\n    if np.all(A[i] + A[j] <= K):\\n        uf_col.union(i, j)\\n\\nrow_res = 1\\nfor group in uf_row.to_sets():\\n    row_res = row_res * factorial[len(group)] % MOD\\ncol_res = 1\\nfor group in uf_col.to_sets():\\n    col_res = col_res * factorial[len(group)] % MOD\\n\\nprint((row_res * col_res % MOD))\\n\", \"from collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\ndef fact(n, mod=998244353):\\n    ans = 1\\n    for i in range(1, n + 1):\\n        ans *= i\\n        ans %= mod\\n    return ans\\n\\nmod = 998244353\\n\\nn, k = map(int, input().split())\\nlst = [[int(i) for i in input().split()] for _ in range(n)]\\n\\nans = 1\\nun1 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[i][l] + lst[j][l] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un1.union(i, j)\\nfor i in range(n):\\n    if i == un1.find(i):\\n        num = un1.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\n\\nun2 = UnionFind(n)\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if lst[l][i] + lst[l][j] > k:\\n                flag = False\\n                break\\n        if flag:\\n            un2.union(i, j)\\nfor i in range(n):\\n    if i == un2.find(i):\\n        num = un2.size(i)\\n        ans *= fact(num)\\n        ans %= mod\\nprint(ans)\", \"from collections import defaultdict\\nimport math\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in self.all_group_members().items())\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nc_pattern = list() # swapable \\u306ac\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\nr_pattern = list() # swapable \\u306ar\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u6570\\n\\nfor c1 in range(N):\\n    for c2 in range(c1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[i][c1] + a[i][c2] > K:\\n                ok = False\\n                break\\n        if ok: c_pattern.append([c1, c2])\\n\\n\\nfor r1 in range(N):\\n    for r2 in range(r1+1, N):\\n        ok = True\\n        for i in range(N):\\n            if a[r1][i] + a[r2][i] > K:\\n                ok = False\\n                break\\n        if ok: r_pattern.append([r1, r2])\\n\\ndef total_pattern(pattern_list):\\n    uf = UnionFind(N)\\n    for p in pattern_list:\\n        uf.union(p[0], p[1])\\n    ans = 1\\n    # print(uf.roots())\\n    for r in uf.roots():\\n        ans *= math.factorial(uf.size(r))\\n    \\n    return ans\\n\\nprint(total_pattern(c_pattern)*total_pattern(r_pattern)%998244353)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.root = [-1]*n\\n        self.rank = [0]*n\\n\\n    def find(self, x):\\n        if self.root[x-1] < 0:\\n            return x\\n        else:\\n            self.root[x-1] = self.find(self.root[x-1])\\n            return self.root[x-1]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x==y:\\n            return\\n        elif self.rank[x-1] > self.rank[y-1]:\\n            self.n-=1\\n            self.root[x-1] += self.root[y-1]\\n            self.root[y-1] = x\\n        else:\\n            self.n-=1\\n            self.root[y-1] += self.root[x-1]\\n            self.root[x-1] = y\\n            if self.rank[x-1] == self.rank[y-1]:\\n                self.rank[y-1] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x)==self.find(y)\\n\\n    def count(self, x):\\n        return -self.root[self.find(x)-1]\\n\\n    def size(self):\\n        return self.n\\n\\n    def roots(self):\\n        return [x+1 for x in range(n) if self.root[x] < 0]\\n\\nmod=998244353\\nn,K=map(int,input().split())\\nA=[list(map(int,input().split())) for _ in range(n)]\\n\\nr=UnionFind(n)\\nc=UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        pr,pc=True,True\\n        for k in range(n):\\n            if A[i][k]+A[j][k]>K:\\n                pr=False\\n            if A[k][i]+A[k][j]>K:\\n                pc=False\\n        if pr: r.unite(i+1,j+1)\\n        if pc: c.unite(i+1,j+1)\\np=[1]*(n+1)\\nfor i in range(1,n+1):\\n    p[i]=(p[i-1]*i)%mod\\nans=1\\nfor x in r.roots():\\n    ans=ans*p[-r.root[x-1]]%mod\\nfor x in c.roots():\\n    ans=ans*p[-c.root[x-1]]%mod\\nprint(ans)\", \"import numpy as np\\n\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.root = list(range(N + 1))\\n        self.size = [1] * (N+1)\\n\\n\\n    def __getitem__(self, x):\\n        root = self.root\\n        while root[x] != x:\\n            root[x] = root[root[x]]\\n            x = root[x]\\n        return x\\n\\n    def merge(self, x, y):\\n        x = self[x]\\n        y = self[y]\\n        if x == y:\\n            return\\n        sx, sy = self.size[x], self.size[y]\\n        if sx < sy:\\n            x, y = y, x\\n            sx, sy = sy, sx\\n        self.root[y] = x\\n        self.size[x] += sy\\n        self.size[y] = 0\\n\\n    def same(self, x, y):\\n        return self[x] == self[y]\\n\\n    def find_max(self):\\n        return max(self.size)\\n\\n\\nN, K = list(map(int, input().split()))\\nA = np.array([list(map(int, input().split())) for _ in range(N)], dtype=np.int64)\\nans = 1\\n# rows and columns\\nfor step in range(2):\\n    if step == 1:\\n        A = A.T\\n\\n    uf = UnionFind(N)\\n    merge = uf.merge\\n    same = uf.same\\n    comb = 1\\n\\n    # swap ok?\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if np.all(A[i, :] + A[j, :] <= K):\\n                merge(i+1, j+1)\\n\\n    # prod of tree-size!\\n    for i in uf.size:\\n        comb *= np.math.factorial(i)\\n        comb %= 998244353\\n\\n    ans *= comb\\n    ans %= 998244353\\n\\nprint(ans)\\n\", \"import sys, bisect, math, itertools, string, queue, copy, heapq, collections, itertools\\n# input = sys.stdin.readline\\nsys.setrecursionlimit(10**8)\\nmod = 998244353\\ndef inp(): return int(input())\\ndef inpm(): return list(map(int,input().split()))\\ndef inpl(): return list(map(int, input().split()))\\ndef inpls(): return list(input().split())\\ndef inplm(n): return list(int(input()) for _ in range(n))\\ndef inplL(n): return [list(input()) for _ in range(n)]\\ndef inplT(n): return [tuple(input()) for _ in range(n)]\\ndef inpll(n): return [list(map(int, input().split())) for _ in range(n)]\\ndef inplt(n): return [tuple(map(int, input().split())) for _ in range(n)]\\ndef inplls(n): return sorted([list(map(int, input().split())) for _ in range(n)])\\n\\n#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n \\n        if x == y:\\n            return\\n \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n        \\nn,k = inpm()\\nA = inpll(n)\\n        \\nuf_r = UnionFind(n)\\nuf_c = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        flg = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_c.union(i,j)\\n            \\n        flg = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flg = False\\n                break\\n        if flg:\\n            uf_r.union(i,j)\\n\\nans = 1\\nfor i in uf_c.roots():\\n    ans = (ans * math.factorial(uf_c.parents[i] * -1)) % mod\\nfor i in uf_r.roots():\\n    ans = (ans * math.factorial(uf_r.parents[i] * -1)) % mod\\n    \\nprint(ans)\\n\", \"from functools import partial, reduce\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0 in range(n-1):\\n    for y1 in range(y0+1, n):\\n        if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n            X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0 in range(n-1):\\n    for x1 in range(x0+1, n):\\n        if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n            Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"mo = 998244353\\nfact = [0] * 100\\nfact[0] = 1\\nfor i in range(1, 100):\\n    fact[i] = fact[i - 1] * i % mo\\nn, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nfa = [i for i in range(n)]\\nfc = [1 for i in range(n)]\\ndef getF(p, u):\\n    if p[p[u]] == p[u]:\\n        return p[u]\\n    p[u] = getF(p, p[u])\\n    return p[u]\\ndef uniF(p, c, u, v):\\n    u = getF(p, u)\\n    v = getF(p, v)\\n    if u == v:\\n        return\\n    p[u] = v\\n    c[v] += c[u]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[i][k] + a[j][k] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fa, fc, i, j)\\nfb = [i for i in range(n)]\\nfd = [1 for i in range(n)]\\nfor i in range(n):\\n    for j in range(n):\\n        f = True\\n        for k in range(n):\\n            if a[k][i] + a[k][j] > K:\\n                f = False\\n                break\\n        if f:\\n            uniF(fb, fd, i, j)\\nans = 1\\nfor i in range(n):\\n    if getF(fa, i) == i:\\n        ans = ans * fact[fc[i]] % mo\\n    if getF(fb, i) == i:\\n        ans = ans * fact[fd[i]] % mo\\nprint(ans)\", \"def main():\\n    law = 998244353\\n    n, k = list(map(int,input().split()))\\n    mat = [list(map(int, input().split())) for i in range(n)]\\n    t_mat = [[mat[j][i] for j in range(n)] for i in range(n)]\\n    print(((line_pattern_counter_mod(mat, n, k, law) * line_pattern_counter_mod(t_mat, n, k, law)) % law))\\n    return\\n\\ndef line_pattern_counter_mod(mat, n, k, law):\\n    min_swapable = [i for i in range(n)]\\n    swappable_count = [0 for _ in range(n)]\\n    ret = 1\\n    for x in range(n):\\n        swappable_array = [x]\\n        min_ind = min_swapable[x]\\n        for y in range(n):\\n            if swappable(mat[x], mat[y], n, k):\\n                swappable_array.append(y)\\n                min_ind = min(min_ind, min_swapable[y])\\n        for ind in swappable_array:\\n            min_swapable[ind] = min_ind\\n    for m in range(n):\\n        swappable_count[min_swapable[m]] += 1\\n    for count in swappable_count:\\n        ret = (ret * fact_mod(count, law)) % law\\n    return ret\\n\\ndef swappable(l_1, l_2, n, k):\\n    for j in range(n):\\n        if l_1[j] + l_2[j] > k:\\n            return False\\n    return True\\n\\ndef fact_mod(m, law, acc = 1):\\n    if m == 0:\\n        return acc\\n    return fact_mod(m - 1, law, (acc * m) % law)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"from math import factorial\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return False\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n        return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        x = self.find(x)\\n        return -self.parents[x]\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\nUF_h = UnionFind(n)\\nUF_w = UnionFind(n)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[i][l] + A[j][l] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_h.union(i, j)\\n\\nfor i in range(n-1):\\n    for j in range(i, n):\\n        flag = True\\n        for l in range(n):\\n            if A[l][i] + A[l][j] > k:\\n                flag = False\\n                break\\n\\n        if flag:\\n            UF_w.union(i, j)\\n\\nDh = {UF_h.find(i):UF_h.size(i) for i in range(n)}\\nDw = {UF_w.find(i):UF_w.size(i) for i in range(n)}\\n\\nans = 1\\nfor i in Dh:\\n    ans *= factorial(Dh[i])\\n    ans %= mod\\nfor i in Dw:\\n    ans *= factorial(Dw[i])\\n    ans %= mod\\n\\nprint(ans)\", \"from itertools import combinations\\nfrom functools import partial\\n\\n\\nclass Mint:\\n    def __init__(self, x, mod=10**9 + 7):\\n        self.x = x.x if isinstance(x, Mint) else x % mod\\n        self.mod = mod\\n        self._mint = partial(Mint, mod=mod)\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" return (g, x, y) such that a*x + b*y = g = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q*y1\\n            x0, x1 = x1, x0 - q*x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g == 1\\n        return x % self.mod\\n\\n    def __str__(self):\\n        return str(self.x)\\n\\n    def __repr__(self):\\n        return repr(self.x)\\n\\n    def __eq__(self, x):\\n        return self.x == self._mint(x).x\\n\\n    def __ne__(self, x):\\n        return self.x != self._mint(x).x\\n\\n    def __int__(self):\\n        return self.x\\n\\n    def __index__(self):\\n        return self.x\\n\\n    def __add__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __radd__(self, x):\\n        return self._mint(self.x + self._mint(x).x)\\n\\n    def __sub__(self, x):\\n        return self._mint(self.x - self._mint(x).x)\\n\\n    def __rsub__(self, x):\\n        return self._mint(self._mint(x).x - self.x)\\n\\n    def __mul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __rmul__(self, x):\\n        return self._mint(self.x * self._mint(x).x)\\n\\n    def __truediv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __floordiv__(self, x):\\n        return self._mint(self.x * self.modinv(self._mint(x).x))\\n\\n    def __pow__(self, x):\\n        return self._mint(pow(self.x, x, self.mod))\\n\\n    def __rpow__(self, x):\\n        return self._mint(pow(self._mint(x).x, self.x, self.mod))\\n\\n\\nclass MintFactorial:\\n    def __init__(self, mod=10**9 + 7):\\n        self.mod = mod\\n        self._factorial = [1]\\n        self._size = 1\\n        self._factorial_inv = [1]\\n        self._size_inv = 1\\n        self._mint = partial(Mint, mod=mod)\\n\\n    def __call__(self, n):\\n        return self.fact(n)\\n\\n    def fact(self, n):\\n        n = self._mint(n).x\\n        \\\"\\\"\\\" n! (mod m) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            return 0\\n        self._make(n)\\n        return self._mint(self._factorial[n])\\n\\n    def _make(self, n):\\n        \\\"\\\"\\\" Calc from self._size to n!^-1 : O(n) \\\"\\\"\\\"\\n        if n >= self.mod:\\n            n = self.mod\\n        if self._size < n+1:\\n            for i in range(self._size, n+1):\\n                self._factorial.append(self._factorial[i-1]*i % self.mod)\\n            self._size = n+1\\n\\n    def fact_inv(self, n):\\n        \\\"\\\"\\\" n!^-1 (mod m) \\\"\\\"\\\"\\n        assert n >= self.mod\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        if self._factorial_inv[n] == -1:\\n            self._factorial_inv[n] = self.modinv(self.fact(n))\\n        return self._mint(self._factorial_inv[n])\\n\\n    def _make_inv(self, n, r=1):\\n        \\\"\\\"\\\" Calc r!^1 ... n!^-1 : O(n-r) \\\"\\\"\\\"\\n        if n >= self.m:\\n            n = self.m - 1\\n        if self._size_inv < n+1:\\n            self._factorial_inv += [-1] * (n+1-self._size_inv)\\n            self._size_inv = n+1\\n        self._factorial_inv[n] = self.modinv(self.fact(n))\\n        for i in range(n, r+1, -1):\\n            self._factorial_inv[i-1] = self._factorial_inv[i]*i % self.mod\\n\\n    @staticmethod\\n    def xgcd(a, b):\\n        \\\"\\\"\\\" Return (gcd(a, b), x, y) such that a*x + b*y = gcd(a, b) \\\"\\\"\\\"\\n        x0, x1, y0, y1 = 0, 1, 1, 0\\n        while a != 0:\\n            (q, a), b = divmod(b, a), a\\n            y0, y1 = y1, y0 - q * y1\\n            x0, x1 = x1, x0 - q * x1\\n        return b, x0, y0\\n\\n    def modinv(self, n):\\n        \\\"\\\"\\\" n^-1 (mod m) \\\"\\\"\\\"\\n        g, x, _ = self.xgcd(n, self.mod)\\n        assert g != 1\\n        return self._mint(x)\\n\\n    def comb(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        t = self(n)*self.fact_inv(n-r) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def comb_(self, n, r):\\n        \\\"\\\"\\\" nCr (mod m) : O(r) \\\"\\\"\\\"\\n        c = 1\\n        for i in range(1, r+1):\\n            c *= (n-i+1) * self.fact_inv(i)\\n            c %= self.mod\\n        return self._mint(c)\\n\\n    def comb_with_repetition(self, n, r):\\n        \\\"\\\"\\\" nHr (mod m) \\\"\\\"\\\"\\n        t = self(n+r-1)*self.fact_inv(n-1) % self.mod\\n        return self._mint(t*self.fact_inv(r))\\n\\n    def perm(self, n, r):\\n        \\\"\\\"\\\" nPr (mod m) \\\"\\\"\\\"\\n        if r > n:\\n            return 0\\n        return self._mint(self(n)*self.fact_inv(n-r))\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self._n = n\\n        self._table = [-1]*n\\n\\n    def _root(self, x):\\n        stack = []\\n        while self._table[x] >= 0:\\n            stack.append(x)\\n            x = self._table[x]\\n        for y in stack:\\n            self._table[y] = x\\n        return x\\n\\n    def unite(self, x, y):\\n        x, y = self._root(x), self._root(y)\\n        if x == y:\\n            return\\n        if x > y:\\n            x, y = y, x\\n        self._table[x] += self._table[y]\\n        self._table[y] = x\\n\\n    def same(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def count_members(self, x):\\n        return -self._table[self._root(x)]\\n\\n    def count_groups(self):\\n        return len({self._root(i) for i in range(self._n)})\\n\\n    def __iter__(self):\\n        return (self._root(i) for i in range(self._n))\\n\\n    def __str__(self):\\n        return str([self._root(i) for i in range(self._n)])\\n\\n    def __repr__(self):\\n        return repr([self._root(i) for i in range(self._n)])\\n\\n    def compress_coordinate(self):\\n        d = {v: i for i, v in enumerate(sorted(set(self)))}\\n        return [d[i] for i in self]\\n\\n    def get_forest(self):\\n        F = [[] for _ in range(self.count_groups())]\\n        d = self.compress_coordinate()\\n        for i in range(self._n):\\n            F[d[i]].append(i)\\n        return F\\n\\n\\nn, k = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nfact = MintFactorial(mod).fact\\n\\nX = UnionFind(n)\\nfor y0, y1 in combinations(range(n), 2):\\n    if all(A[y0][x] + A[y1][x] <= k for x in range(n)): \\n        X.unite(y0, y1)\\n\\nY = UnionFind(n)\\nfor x0, x1 in combinations(range(n), 2):\\n    if all(A[y][x0] + A[y][x1] <= k for y in range(n)): \\n        Y.unite(x0, x1)\\n\\ns = 1\\nfor a in map(fact, map(len, X.get_forest())):\\n    s *= a\\nfor b in map(fact, map(len, Y.get_forest())):\\n    s *= b\\nprint(s)\", \"MOD = 998244353\\n\\ndef dsFind(ds, x):\\n    if ds[x] == x:\\n        return x\\n\\n    x0 = x\\n    while ds[x] != x:\\n        x = ds[x]\\n\\n    ds[x0] = x\\n    return x\\n\\n\\ndef dsUnion(ds, x, y):\\n    xRoot = dsFind(ds, x)\\n    yRoot = dsFind(ds, y)\\n    \\n    if xRoot != yRoot:\\n        ds[yRoot] = xRoot\\n        return True\\n\\n    return False\\n\\n\\ndef isSwappableCols(M, N, K, c1, c2):\\n    for i in range(N):\\n        if M[i][c1] + M[i][c2] > K:\\n            return False\\n    return True\\n\\n\\ndef isSwappableRows(M, N, K, r1, r2):\\n    for i in range(N):\\n        if M[r1][i] + M[r2][i] > K:\\n            return False\\n    return True\\n\\n\\n\\ndef f(M, N, K, isSwappable):\\n    ds = list(range(N))\\n    for i in range(N):\\n        for j in range(i+1, N):\\n            if (dsFind(ds, i) != dsFind(ds, j) and\\n                isSwappable(M, N, K, i, j)):\\n                dsUnion(ds, i, j)\\n    \\n\\n    cnts = {}\\n    \\n    for i in range(N):\\n        root = dsFind(ds, i)\\n        if not(root in cnts):\\n            cnts[root] = 0\\n\\n        cnts[root] += 1\\n\\n    x = 1\\n    for c in list(cnts.values()):\\n        for i in range(2, c+1):\\n            x = x*i%MOD\\n                \\n    return x\\n\\nN, K = list(map(int, input().split()))\\nM  = [list(map(int, input().split())) for _ in range(N)]\\n\\nprint((f(M, N, K, isSwappableCols)*f(M, N, K, isSwappableRows)%MOD))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\nA_T = []\\nfor i in range(N):\\n    x = []\\n    for j in range(N):\\n        x.append(A[j][i])\\n    A_T.append(x)\\n# print(A_T)\\n# print(A)\\nrow_uf = UnionFind(N)\\ncolumn_uf = UnionFind(N)\\nfor i in range(N - 1):\\n    row1 = A[i]\\n    for j in range(i + 1, N):\\n        row2 = A[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(row1, row2)]):\\n            row_uf.union(i, j)\\n# print(row_uf.all_group_members())\\n\\nfor i in range(N - 1):\\n    column1 = A_T[i]\\n    for j in range(i + 1, N):\\n        column2 = A_T[j]\\n        if all([val1 + val2 <= K for val1, val2 in zip(column1, column2)]):\\n            column_uf.union(i, j)\\n# print(column_uf.all_group_members())\\nrow_cnt = 1\\nfor root, member in row_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        row_cnt *= i\\n        row_cnt %= MOD\\n\\ncolumn_cnt = 1\\nfor root, member in column_uf.all_group_members().items():\\n    for i in range(len(member), 0, -1):\\n        column_cnt *= i\\n        column_cnt %= MOD\\nprint((row_cnt * column_cnt) % MOD)\", \"n,K = map(int,input().split())\\nmod = 998244353\\ncnt1 = 0\\nA =[list(map(int,input().split())) for _ in range(n)]\\n#\\u4f7f\\u3048\\u308bUnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n \\n    def group_count(self):\\n        return len(self.roots())\\n \\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n \\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n \\nuf1 = UnionFind(n)\\nuf2 = UnionFind(n)\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[i][k] + A[j][k] <=K for k in range(n)):\\n            uf1.union(i,j)\\ncnt2 = 0\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        if all(A[k][i] + A[k][j] <=K for k in range(n)):\\n            uf2.union(i,j)\\nans = 1\\nfrom math import factorial\\nfor u in uf1.roots():\\n    ans*= factorial(uf1.size(u))%mod\\nfor u in uf2.roots():\\n    ans*= factorial(uf2.size(u))%mod\\nprint(ans%mod)\", \"from sys import setrecursionlimit\\nsetrecursionlimit(10 ** 9)\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.d = [-1] * n\\n\\n    def find(self, x):\\n        if self.d[x] < 0:\\n            return x\\n        else:\\n            self.d[x] = self.find(self.d[x])\\n            return self.d[x]\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return False\\n        else:\\n            if self.d[x] > self.d[y]:\\n                x, y = y, x\\n            self.d[x] += self.d[y]\\n            self.d[y] = x\\n            return True\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n\\n    def size(self, x):\\n        return -self.d[self.find(x)]\\n\\n\\n\\nMOD = 998244353\\ndef permutations(N):\\n    val = 1\\n    for i in range(2,N+1):\\n        val *= i\\n        val %= MOD\\n    return val\\n\\nN,K = list(map(int,input().split()))\\na = [list(map(int,input().split())) for _ in range(N)]\\n\\nufretu = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flg = False\\n        if flg == True:ufretu.unite(i,j)\\nval1 = 1\\nfor i in ufretu.d:\\n    if i < 0:\\n        val1 *= permutations(-i)\\n        val1 %= MOD\\n\\nufgyou = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1,N):\\n        flg = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flg = False\\n        if flg == True:ufgyou.unite(i,j)\\nval2 = 1\\nfor i in ufgyou.d:\\n    if i < 0:\\n        val2 *= permutations(-i)\\n        val2 %= MOD\\nprint((val1 * val2 % MOD))\\n\\n\", \"from collections import defaultdict\\nimport math\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        \\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    \\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n        \\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        \\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    \\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n        \\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    \\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    \\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n    \\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n    \\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\nn, k = list(map(int, input().split()))\\na = [list(map(int, input().split())) for _ in range(n)]\\n\\nmod = 998244353\\n\\ndef c_swapable(a, x, y):\\n    if all(a[i][x] + a[i][y] <= k for i in range(n)):\\n        return True\\n    else:\\n        False\\n\\ndef r_swapable(a, s, t):\\n    if all(a[s][j] + a[t][j] <= k for j in range(n)):\\n        return True\\n    else:\\n        False\\n\\ncolum = UnionFind(n)\\nrow = UnionFind(n)\\n\\nfor hx in range(n - 1):\\n    for hy in range(hx + 1, n):\\n        if c_swapable(a, hx, hy):\\n            colum.union(hx, hy)\\n\\nfor wx in range(n - 1):\\n    for wy in range(wx + 1, n):\\n        if r_swapable(a, wx, wy):\\n            row.union(wx, wy)\\n \\nans = 1\\nfor cg in list(colum.all_group_members().values()):\\n    ans *= math.factorial(len(cg))\\nans %= mod\\n\\nfor rg in list(row.all_group_members().values()):\\n    ans *= math.factorial(len(rg))\\n        \\nprint((ans % mod))\\n\", \"import bisect,collections,copy,heapq,itertools,math,numpy as np,string,sys\\ndef I(): return int(sys.stdin.readline().rstrip())\\ndef LI(): return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S(): return sys.stdin.readline().rstrip()\\ndef LS(): return list(sys.stdin.readline().rstrip().split())\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\nN,K = LI()\\na = np.array([LI() for _ in range(N)])\\nans = 1\\nuf1 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf1.union(i,j)\\nfor x in uf1.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\na = a.T\\nuf2 = UnionFind(N)\\nfor i,j in itertools.combinations(list(range(N)),2):\\n    if (a[i,:]+a[j,:]<=K).all():\\n        uf2.union(i,j)\\nfor x in uf2.parents:\\n    if x<=-2:\\n        for i in range(2,abs(x)+1):\\n            ans *= i\\n            ans %= 998244353\\nprint(ans)\\n\", \"class TwelvefoldWay:\\n    def __init__(self, n, mod):\\n        self.g1 = [1, 1]\\n        self.g2 = [1, 1]\\n        self.re = [0, 1]\\n        self.md = mod\\n        for i in range(2, n + 1):\\n            self.g1.append((self.g1[-1] * i) % self.md)\\n    def fact(self, n):\\n        return self.g1[n]\\n    def perm(self, n, k):\\n        return (self.g1[n] * self.g2[n - k]) % self.md\\n    def comb(n, k):\\n        if k < 0 or k > n:\\n            return 0\\n        k = min(k, n - k)\\n        return self.g1[n] * self.g2[k] * self.g2[n - k] % self.md\\n    def homo(n, k):\\n        return self.comb(n + k - 1, k)\\n\\n# 1-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nMOD = 998244353\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n\\n    uf = UnionFind(N)\\n    tw = TwelvefoldWay(N ** 2 + 1, MOD)\\n    for a, b in edge:\\n        uf.union(a, b)\\n\\n    ret = 1\\n    for n in uf.size_list(N):\\n        ret = (ret * tw.fact(n)) % MOD\\n    \\n    return ret\\n\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\nA = [[A[i][j] for i in range(N)] for j in range(N)]\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ninf = float('inf')\\nmod = 10 ** 9 + 7\\nmod2 = 998244353\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    \\u4e0b\\u8a18\\u304b\\u3089\\u62dd\\u501f\\n    https://note.nkmk.me/python-union-find/\\n    \\\"\\\"\\\"\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join(\\n            '{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, K, A):\\n    uf_row = UnionFind(N)\\n    uf_col = UnionFind(N)\\n    # grouping row\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[x][i] + A[y][i] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_row.union(x, y)\\n    # grouping col\\n    for x in range(N - 1):\\n        for y in range(x + 1, N):\\n            flg = True\\n            for i in range(N):\\n                if A[i][x] + A[i][y] > K:\\n                    flg = False\\n                    break\\n            if flg:\\n                uf_col.union(x, y)\\n    # calc ans\\n    ans = 1\\n    for gm in list(uf_row.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    for gm in list(uf_col.all_group_members().values()):\\n        for i in range(1, len(gm) + 1):\\n            ans *= i\\n            ans %= mod2\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    N, K = list(map(int, input().split()))\\n    A = [[int(i) for i in input().split()] for _ in range(N)]\\n    solve(N, K, A)\\n\\n    # # test\\n    # from random import randint\\n    # import string\\n    # import tool.testcase as tt\\n    # from tool.testcase import random_str, random_ints\\n    # N, K = 50, 2 * 50 ** 2\\n    # A = [[N * i + j for j in range(1, N + 1)] for i in range(N)]\\n    # solve(N, K, A)\\n\\n__starting_point()\", \"class UnionFind():\\n  def __init__(self, n):\\n    self.n = n\\n    self.parents = [-1] * n\\n\\n  def find(self, x):\\n    if self.parents[x] < 0:\\n      return x\\n    else:\\n      self.parents[x] = self.find(self.parents[x])\\n    return self.parents[x]\\n\\n  def union(self, x, y):\\n    x = self.find(x)\\n    y = self.find(y)\\n\\n    if x == y:\\n      return\\n\\n    if self.parents[x] > self.parents[y]:\\n      x, y = y, x\\n\\n    self.parents[x] += self.parents[y]\\n    self.parents[y] = x\\n\\n  def same(self, x, y):\\n    return self.find(x) == self.find(y)\\n\\n  def roots_nums(self):\\n    return [-x for x in self.parents if x < 0]\\n\\n  def num_roots(self):\\n    return len([i for i, x in enumerate(self.parents) if x < 0])\\n\\n  def members(self, x):\\n    root = self.find(x)\\n    return [i for i in range(self.n) if self.find(i) == root]\\n\\n  def num_members(self,x):\\n    return abs(self.parents[self.find(x)])\\n\\n  def __str__(self):\\n    return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nMOD = 998244353\\n\\nclass ModInt:\\n  def __init__(self, x):\\n    self.x = x % MOD\\n\\n  def __str__(self):\\n    return str(self.x)\\n\\n  __repr__ = __str__\\n\\n  def __add__(self, other):\\n    return (\\n      ModInt(self.x + other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x + other)\\n    )\\n\\n  def __sub__(self, other):\\n    return (\\n      ModInt(self.x - other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x - other)\\n    )\\n\\n  def __mul__(self, other):\\n    return (\\n      ModInt(self.x * other.x) if isinstance(other, ModInt) else\\n      ModInt(self.x * other)\\n    )\\n\\n  def __truediv__(self, other):\\n    return (\\n      ModInt(\\n        self.x * pow(other.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(self.x * pow(other, MOD - 2, MOD))\\n    )\\n\\n  __floordiv__ = __truediv__\\n\\n  def __pow__(self, other):\\n    return (\\n      ModInt(pow(self.x, other.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(self.x, other, MOD))\\n    )\\n\\n  __radd__ = __add__\\n\\n  def __rsub__(self, other):\\n    return (\\n      ModInt(other.x - self.x) if isinstance(other, ModInt) else\\n      ModInt(other - self.x)\\n    )\\n\\n  __rmul__ = __mul__\\n\\n  def __rtruediv__(self, other):\\n    return (\\n      ModInt(\\n        other.x * pow(self.x, MOD - 2, MOD)\\n      ) if isinstance(other, ModInt) else\\n      ModInt(other * pow(self.x, MOD - 2, MOD))\\n    )\\n\\n  def __rpow__(self, other):\\n    return (\\n      ModInt(pow(other.x, self.x, MOD)) if isinstance(other, ModInt) else\\n      ModInt(pow(other, self.x, MOD))\\n    )\\n\\nans = 1\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_row = UnionFind(N)\\nuf_col = UnionFind(N)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        break\\n    else:\\n      uf_row.union(i,j)\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        break\\n    else:\\n      uf_col.union(i,j)\\n\\nfact = [ModInt(1)]*51\\n\\nfor i in range(1,51):\\n  fact[i] = fact[i-1]*i\\nfor p in uf_row.roots_nums():\\n  ans *= fact[p]\\nfor p in uf_col.roots_nums():\\n  ans *= fact[p]\\nprint(ans)\", \"MOD = 998244353\\n\\nN, K = list(map(int, input().split()))\\nAMat = [list(map(int, input().split())) for _ in range(N)]\\n\\nclass UnionFind:\\n    def __init__(self, N):\\n        self.parent = list(range(N))\\n        self.rank = [0] * N\\n        self.size = [1] * N\\n\\n    def find(self, x):\\n        if self.parent[x]==x:\\n            return x\\n        else:\\n            self.parent[x] = self.find(self.parent[x])\\n            return self.parent[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.rank[x] < self.rank[y]:\\n            self.parent[x] = y\\n            self.size[y] += self.size[x]\\n        else:\\n            self.parent[y] = x\\n            self.size[x] += self.size[y]\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def get_size(self, x):\\n        return self.size[self.find(x)]\\n\\nuf_x = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for y in range(N):\\n            if AMat[y][i] + AMat[y][j] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_x.unite(i, j)\\n\\nuf_y = UnionFind(N)\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        flag = True\\n        for x in range(N):\\n            if AMat[i][x] + AMat[j][x] > K:\\n                flag = False\\n                break\\n        if flag:\\n            uf_y.unite(i, j)\\n\\nans_list1 = [0] * N\\nfor i in range(N):\\n    ans_list1[uf_x.find(i)] += 1\\n\\nans_list2 = [0] * N\\nfor i in range(N):\\n    ans_list2[uf_y.find(i)] += 1\\n\\nans_list = ans_list1 + ans_list2\\nans = 1\\nfor a in ans_list:\\n    if a >= 1:\\n        for x in range(1, a+1):\\n            ans *= x\\n            ans %= MOD\\n\\nprint((ans%MOD))\\n\", \"n, k = map(int, input().split())\\na = []\\nfor i in range(n):\\n    a.append(list(map(int, input().split())))\\nmod = 998244353\\nans = 1\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\ndef find(x):\\n    if parent[x - 1] == x:\\n        return x\\n    else:\\n        parent[x - 1] = find(parent[x - 1])\\n        return parent[x - 1]\\n\\ndef unite(x, y):\\n    x = find(x)\\n    y = find(y)\\n    if x == y:\\n        return\\n    if rank[x - 1] < rank[y - 1]:\\n        parent[x - 1] = y\\n        size[y - 1] += size[x - 1]\\n    else:\\n        parent[y - 1] = x\\n        size[x - 1] += size[y - 1]\\n        if rank[x - 1] == rank[y - 1]:\\n            rank[x - 1] += 1\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\n\\nparent = [i + 1 for i in range(n)]\\nrank = [0 for i in range(n)]\\nsize = [1 for i in range(n)]\\n\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        flag = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                flag = False\\n                break\\n        if flag == True:\\n            unite(i + 1, j + 1)\\nfor i in range(n):\\n    if find(i + 1) == i + 1:\\n        for j in range(size[i]):\\n            ans *= j + 1\\n            ans %= mod\\nprint(ans)\", \"mod = 998244353\\nnn = 1010\\nfa = [1] * (nn+1)\\nfainv = [1] * (nn+1)\\nfor i in range(nn):\\n    fa[i+1] = fa[i] * (i+1) % mod\\nfainv[-1] = pow(fa[-1], mod - 2, mod)\\nfor i in range(nn)[::-1]:\\n    fainv[i] = fainv[i+1] * (i+1) % mod\\n\\nN, K = map(int, input().split())\\nX = [[int(a) for a in input().split()] for _ in range(N)]\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.PA = [-1] * n\\n    \\n    def root(self, a):\\n        L = []\\n        while self.PA[a] >= 0:\\n            L.append(a)\\n            a = self.PA[a]\\n        for l in L:\\n            self.PA[l] = a\\n        return a\\n    def unite(self, a, b):\\n        ra, rb = self.root(a), self.root(b)\\n        if ra != rb:\\n            if self.PA[rb] >= self.PA[ra]:\\n                self.PA[ra] += self.PA[rb]\\n                self.PA[rb] = ra\\n            else:\\n                self.PA[rb] += self.PA[ra]\\n                self.PA[ra] = rb\\n    def size(self, a):\\n        return - self.PA[self.root(a)]\\n    def groups(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [g for g in G if g]\\n    def group_size(self):\\n        G = [[] for _ in range(self.n)]\\n        for i in range(self.n):\\n            G[self.root(i)].append(i)\\n        return [len(g) for g in G if g]\\n\\nans = 1\\nuf1 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[i][k] + X[j][k] > K:\\n                break\\n        else:\\n            uf1.unite(i, j)\\nfor a in uf1.group_size():\\n    ans = ans * fa[a] % mod\\n\\nuf2 = UnionFind(N)\\ns = 0\\nfor i in range(N):\\n    for j in range(i):\\n        for k in range(N):\\n            if X[k][i] + X[k][j] > K:\\n                break\\n        else:\\n            uf2.unite(i, j)\\nfor a in uf2.group_size():\\n    ans = ans * fa[a] % mod\\n\\nprint(ans)\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\nn,k = map(int,input().split())\\na = []\\nfor i in range(n):\\n    ai = list(map(int,input().split()))\\n    a.append(ai)\\n\\nu = UnionFind(n)\\nmod = 998244353\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        ai = a[i]\\n        aj = a[j]\\n        bit = False\\n        aij = [i+j for i,j in zip(ai,aj)]\\n        if max(aij)<=k:\\n            bit = True\\n        if bit:\\n            u.union(i,j)\\nans = 1\\nfor i in u.all_group_members():\\n    li = len(u.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\no = UnionFind(n)\\nmod = 998244353\\nb = list(map(list, zip(*a)))\\n\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        bi = b[i]\\n        bj = b[j]\\n        bit = False\\n        bij = [i+j for i,j in zip(bi,bj)]\\n        if max(bij)<=k:\\n            bit = True\\n        if bit:\\n            o.union(i,j)\\n\\nfor i in o.all_group_members():\\n    li = len(o.members(i))\\n    res = 1\\n    for j in range(1,li+1):\\n        res *= j\\n        res %= mod\\n    ans *= res\\n\\nprint(ans%mod)\", \"from collections import deque\\n\\ndef bfs(G, s, j):\\n    q = deque()\\n    q.append(s)\\n    visit[s][j] = 1\\n    p = 1\\n    while q:\\n        u = q.popleft()\\n        for v in G[u]:\\n            if not visit[v][j]:\\n                visit[v][j] = 1\\n                p += 1\\n                q.append(v)\\n    return p\\n\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nmod = 998244353\\nG1 = [[] for _ in range(n)]\\nG2 = [[] for _ in range(n)]\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                f = 0\\n                break\\n        if f:\\n            G1[i].append(j)\\n            G1[j].append(i)\\nfor i in range(n):\\n    for j in range(i + 1, n):\\n        f = 1\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                f = 0\\n                break\\n        if f:\\n            G2[i].append(j)\\n            G2[j].append(i)\\nans = 1\\nvisit = [[0] * 2 for _ in range(n + 5)]\\nfactorial = [1] * (n + 5)\\nfor i in range(2, n + 5):\\n    factorial[i] = factorial[i - 1] * i % mod\\nfor i in range(n):\\n    if not visit[i][0]:\\n        p = bfs(G1, i, 0)\\n        ans *= factorial[p]\\n        ans %= mod\\n    if not visit[i][1]:\\n        p = bfs(G2, i, 1)\\n        ans *= factorial[p]\\n        ans %= mod\\nprint(ans)\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, v):\\n        if self.parents[v] < 0:\\n            return v\\n        else:\\n            self.parents[v] = self.find(self.parents[v])\\n            return self.parents[v]\\n\\n    def unite(self, u, v):\\n        u = self.find(u)\\n        v = self.find(v)\\n\\n        if u == v:\\n            return\\n\\n        if self.parents[u] > self.parents[v]:\\n            u, v = v, u\\n\\n        self.parents[u] += self.parents[v]\\n        self.parents[v] = u\\n\\n    def size(self, v):\\n        return -self.parents[self.find(v)]\\n\\n    def same(self, u, v):\\n        return self.find(u) == self.find(v)\\n\\ndef comb_lists(n, mod):\\n    fact = [1 for _ in range(n+1)]\\n    inv = [1 for _ in range(n+1)]\\n    fact_inv = [1 for _ in range(n+1)]\\n    for i in range(2, n+1):\\n        fact[i] = (fact[i-1]*i) % mod\\n        inv[i] = mod - (inv[mod % i] * (mod // i)) % mod\\n        fact_inv[i] = (fact_inv[i-1] * inv[i]) % mod\\n    \\n    return fact, fact_inv\\n\\nmod = 998244353\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\nuf_c = UnionFind(N)\\nuf_r = UnionFind(N)\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[i][k] + A[j][k] > K:\\n                f = False\\n                break\\n        if f: uf_c.unite(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        f = True\\n        for k in range(N):\\n            if A[k][i] + A[k][j] > K:\\n                f = False\\n                break\\n        if f: uf_r.unite(i, j)\\n\\nfact, _ = comb_lists(N, mod)\\nps = [] \\nans = 1 \\nfor i in range(N):\\n    p = uf_c.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_c.size(i)]\\n        ans %= mod\\n        ps.append(p)\\n\\nps = []\\nfor i in range(N):\\n    p = uf_r.find(i)\\n    if p not in ps:\\n        ans *= fact[uf_r.size(i)]\\n        ans %= mod\\n        ps.append(p)\\nprint(ans)\", \"#UnionFind\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n    \\nn,K = list(map(int,input().split()))\\nmod = 998244353\\na = [list(map(int,input().split())) for i in range(n)]\\n\\ndef factorial_mod(n,mod):\\n    ret = 1\\n    for i in range(1,n+1):\\n        ret *= i\\n        ret %= mod\\n    return ret\\n\\nuf_ver = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[i][k] + a[j][k] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_ver.union(i,j)\\n        \\nuf_hol = UnionFind(n+1)\\nfor i in range(n):\\n    for j in range(n):\\n        is_ok = 1\\n        for k in range(n):\\n            if a[k][i] + a[k][j] <= K:\\n                pass\\n            else:\\n                is_ok = 0\\n                break\\n        if is_ok:\\n            uf_hol.union(i,j)\\nans = 1\\ndic1 = uf_ver.all_group_members()\\nfor v in list(dic1.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\ndic2 = uf_hol.all_group_members()\\nfor v in list(dic2.values()):\\n    ans *= factorial_mod(len(v),mod)\\n    ans %= mod\\nprint(ans)\\n\", \"class UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def size(self, x):\\n        return -self.par[self.find(x)]\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int, input().split())) for _ in range(n)]\\n\\nuf1=UnionFind(n)\\nuf2=UnionFind(n)\\n\\nmod=998244353\\n\\nfct=[1]\\nfor i in range(1,101):\\n    fct.append(fct[-1]*i%mod)\\n\\nfor i in range(n - 1):\\n    for j in range(i + 1, n):\\n        if all(A[c][i] + A[c][j] <= k for c in range(n)):\\n            uf1.unite(i, j)\\n        if all(A[i][c] + A[j][c] <= k for c in range(n)):\\n            uf2.unite(i, j)\\nans = 1\\nfor i in range(n):\\n    if uf1.par[i] < 0:\\n        ans *= fct[-uf1.par[i]]\\n        ans %= mod\\n    if uf2.par[i] < 0:\\n        ans *= fct[-uf2.par[i]]\\n        ans %= mod\\nprint(ans)\\n\\n\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 998244353\\n\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u89aa\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"y\\u3092x\\u306e\\u6839\\u306b\\u7e4b\\u3050\\uff08\\u30de\\u30fc\\u30b8\\u30c6\\u30af\\u6709\\uff09\\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"x\\u3068y\\u304c\\u540c\\u3058\\u9023\\u7d50\\u6210\\u5206\\u304b\\u5224\\u5225\\u3059\\u308b\\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n\\n    def size(self, x):\\n        \\\"\\\"\\\"x\\u306e\\u9023\\u7d50\\u6210\\u5206\\u306e\\u5927\\u304d\\u3055\\u3092\\u8fd4\\u3059\\\"\\\"\\\"\\n        return -self.parents[self.find(x)]\\n\\n    def kruskal(self, edge):\\n        \\\"\\\"\\\"\\n        :param edge: edge = [(\\u30b3\\u30b9\\u30c8, \\u9802\\u70b91, \\u9802\\u70b92),...]\\u306e\\u5f62\\u3067\\u91cd\\u307f\\u4ed8\\u304d\\u96a3\\u63a5\\u30ea\\u30b9\\u30c8\\u3092\\u6e21\\u3057\\u3066\\u4e0b\\u3055\\u3044\\n        :return: \\u6700\\u5c0f\\u5168\\u57df\\u6728\\u306e\\u30b3\\u30b9\\u30c8\\u306e\\u548c\\n        \\\"\\\"\\\"\\n        edge.sort()\\n        cost_sum = 0\\n        for cost, node1, node2 in edge:\\n            if not self.same(node1, node2):\\n                cost_sum += cost\\n                self.union(node1, node2)\\n        return cost_sum\\n\\n\\ndef resolve():\\n    n, k = list(map(int, input().split()))\\n    A = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf_row = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[x][i] + A[y][i] > k:\\n                    break\\n            else:\\n                uf_row.union(x, y)\\n\\n    uf_col = UnionFind(n)\\n    for x in range(n):\\n        for y in range(x + 1, n):\\n            for i in range(n):\\n                if A[i][x] + A[i][y] > k:\\n                    break\\n            else:\\n                uf_col.union(x, y)\\n\\n    fact = [1, 1]\\n    for i in range(2, n + 1):\\n        fact.append(fact[-1] * i % mod)\\n\\n    size_row = [1] * n\\n    for i in range(n):\\n        root = uf_row.find(i)\\n        size_row[root] = uf_row.size(root)\\n\\n    size_col = [1] * n\\n    for i in range(n):\\n        root = uf_col.find(i)\\n        size_col[root] = uf_col.size(root)\\n\\n    tot_row = tot_col = 1\\n    for i, j in zip(size_row, size_col):\\n        tot_row = tot_row * fact[i] % mod\\n        tot_col = tot_col * fact[j] % mod\\n\\n    res = tot_row * tot_col % mod\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from sys import stdin, setrecursionlimit\\nimport bisect, collections, copy, heapq, itertools, math, string\\nsetrecursionlimit(10**8)\\n\\nINF = float(\\\"inf\\\")\\nMOD = 1000000007\\n\\n\\ndef input():\\n    return stdin.readline().strip()\\n\\n#unionfind\\nfrom collections import defaultdict\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = collections.defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\n\\n\\n\\ndef main():\\n\\n    n, mx = list(map(int, input().split()))\\n    a = [list(map(int, input().split())) for _ in range(n)]\\n\\n    uf1 = UnionFind(n)\\n    uf2 = UnionFind(n)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[i][k]+a[j][k] > mx:\\n                    break\\n            else:\\n                uf1.union(i, j)\\n\\n    for i in range(n):\\n        for j in range(i+1, n):\\n            for k in range(n):\\n                if a[k][i]+a[k][j] > mx:\\n                    break\\n            else:\\n                uf2.union(i, j)\\n\\n    ans = 1\\n    mod = 998244353\\n\\n    def factorial(n):\\n        rec = 1\\n        for x in range(2, n+1):\\n            rec *= x\\n            rec %= mod\\n        return rec\\n\\n    for lst in list(uf1.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n\\n    for lst in list(uf2.all_group_members().values()):\\n        ans *= factorial(len(lst))\\n        ans %= mod\\n    \\n    print(ans)\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n    return\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from collections import defaultdict\\n\\n\\nclass DisjoinSet:\\n    def __init__(self, N):\\n        self.par = [-1] * N\\n        self.sz = [1] * N\\n\\n    def root(self, x):\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.root(self.par[x])\\n            return self.par[x]\\n\\n    def unite(self, a, b):\\n        a = self.root(a)\\n        b = self.root(b)\\n        if a == b:\\n            return\\n        if self.sz[a] > self.sz[b]:\\n            a, b = b, a\\n        self.par[a] = b\\n        self.sz[b] += self.sz[a]\\n\\n    def same(self, a, b):\\n        return self.root(a) == self.root(b)\\n\\n    def size(self, x):\\n        return self.sz[self.root(x)]\\n\\n    def groups(self):\\n        clusters = defaultdict(list)\\n        for x in range(N):\\n            clusters[self.root(x)].append(x)\\n        return list(clusters.values())\\n\\n\\nN, K = list(map(int, input().split()))\\nM = 998244353\\nA = [[int(x) for x in input().split()] for _ in range(N)]\\n\\nfact = [1] * (N + 1)\\nfor i in range(1, N + 1):\\n    fact[i] = fact[i - 1] * i % M\\n\\nrow_dsu = DisjoinSet(N)\\nfor r1 in range(N):\\n    for r2 in range(r1, N):\\n        if all(A[r1][c] + A[r2][c] <= K for c in range(N)):\\n            row_dsu.unite(r1, r2)\\n\\ncol_dsu = DisjoinSet(N)\\nfor c1 in range(N):\\n    for c2 in range(c1, N):\\n        if all(A[r][c1] + A[r][c2] <= K for r in range(N)):\\n            col_dsu.unite(c1, c2)\\n\\ncntR = 1\\nfor group in row_dsu.groups():\\n    cntR = cntR * fact[len(group)] % M\\ncntC = 1\\nfor group in col_dsu.groups():\\n    cntC = cntC * fact[len(group)] % M\\nprint((cntR * cntC % M))\\n\", \"from collections import Counter\\nn, k = list(map(int, input().split()))\\n\\na = [tuple(map(int, input().split())) for _ in range(n)]\\n\\nf = [1, 1]\\nmod = 998244353\\nfor i in range(2, n+7):\\n    f.append(f[-1]*i % mod)\\n\\n*p, = list(range(n))\\nr = [0]*(n)\\n\\n\\ndef par(x):\\n    if p[x] == x:\\n        return x\\n    res = p[x] = par(p[x])\\n    return res\\n\\n\\ndef union(x, y):\\n    px = par(x)\\n    py = par(y)\\n    if px == py:\\n        return\\n    if r[px] > r[py]:\\n        p[py] = px\\n        r[py] += 1\\n    elif r[px] < r[py]:\\n        p[px] = py\\n        r[px] += 1\\n    else:\\n        p[px] = py\\n        r[py] += 1\\n\\n\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[i][t]+a[j][t] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)\\nans = 1\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\n*p, = list(range(n))\\nr = [0]*(n)\\nfor i in range(n):\\n    for j in range(i):\\n        chng = True\\n        for t in range(n):\\n            if a[t][i]+a[t][j] > k:\\n                chng = False\\n                break\\n        if chng:\\n            union(i, j)\\nfor i in range(n):par(i)##\\nCp = Counter(p)\\nfor g in Cp:\\n    ans *= f[Cp[g]]\\n    ans %= mod\\nprint(ans)\\n\", \"#!/usr/bin python3\\n# -*- coding: utf-8 -*-\\n\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n        self.ans = n * (n - 1) // 2  ######\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        sx = self.size(x)  ######\\n        sy = self.size(y)  ######\\n        self.ans += sx * (sx - 1) // 2 + sy * (sy - 1) // 2  ######\\n        self.ans -= (sx + sy) * (sx + sy - 1) // 2  ######\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n\\n\\n######\\nmod = 998244353\\npr = [1]\\nfor i in range(1, 50):\\n    pr.append(pr[-1]*i%mod)\\n\\nn, k = list(map(int, input().split()))\\nm = [list(map(int, input().split())) for _ in range(n)]\\nufs = [UnionFind(n) for _ in range(2)]\\n\\nfor x in range(n):\\n    for y in range(n):\\n        fg = True\\n        for i in range(n):\\n            if m[i][x] + m[i][y] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[0].union(x, y)\\n        fg = True\\n        for i in range(n):\\n            if m[x][i] + m[y][i] > k:\\n                fg = False\\n                break\\n        if fg:\\n            ufs[1].union(x, y)\\n\\nret = 1\\nfor uf in ufs:\\n    for r in uf.roots():\\n        ret *= pr[uf.size(r)]\\n        ret %= mod\\nprint(ret)\\n\", \"import sys\\n\\nreadline = sys.stdin.readline\\nINF = float('INF')\\nsys.setrecursionlimit(10 ** 5)\\n\\n\\nclass UnionFind:\\n    \\\"\\\"\\\"\\n    0-indexed\\n    \\\"\\\"\\\"\\n\\n    from typing import List\\n\\n    def __init__(self, n):\\n        self.n = n\\n        self.parent = [-1] * n\\n\\n    def unite(self, x, y) -> int:\\n        x = self.root(x)\\n        y = self.root(y)\\n\\n        if x == y:\\n            return 0\\n\\n        if self.parent[x] > self.parent[y]:\\n            x, y = y, x\\n\\n        self.parent[x] += self.parent[y]\\n        self.parent[y] = x\\n\\n        return self.parent[x]\\n\\n    def is_same(self, x, y) -> bool:\\n        return self.root(x) == self.root(y)\\n\\n    def root(self, x) -> int:\\n        if self.parent[x] < 0:\\n            return x\\n        else:\\n            self.parent[x] = self.root(self.parent[x])\\n            return self.parent[x]\\n\\n    def size(self, x) -> int:\\n        return -self.parent[self.root(x)]\\n\\n    def all_sizes(self) -> List[int]:\\n        sizes = []\\n\\n        for i in range(self.n):\\n            size = self.parent[i]\\n            if size < 0:\\n                sizes.append(-size)\\n        return sizes\\n\\n    def groups(self) -> List[List[int]]:\\n        groups = dict()\\n\\n        for i in range(self.n):\\n            p = self.root(i)\\n            if not groups.get(p):\\n                groups[p] = []\\n            groups[p].append(i)\\n\\n        return list(groups.values())\\n\\n\\ndef main():\\n    def factorial(x):\\n        res = 1\\n        for i in range(1, x + 1):\\n            res *= i\\n            res %= MOD\\n        return res\\n\\n    def judge1(first, second):\\n        for i in range(N):\\n            if grid[first][i] + grid[second][i] > K:\\n                return False\\n        return True\\n\\n    def judge2(first, second):\\n        for i in range(N):\\n            if grid[i][first] + grid[i][second] > K:\\n                return False\\n        return True\\n\\n    MOD = 998244353\\n\\n    N, K = list(map(int, readline().split()))\\n    grid = []\\n\\n    for _ in range(N):\\n        s = list(map(int, readline().split()))\\n        grid.append(s)\\n\\n    cnt_r, cnt_c = 1, 1\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge1(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_r *= factorial(size)\\n        cnt_r %= MOD\\n\\n    uf = UnionFind(N + 1)\\n\\n    for i in range(N):\\n        for j in range(i, N):\\n            if judge2(i, j):\\n                uf.unite(i, j)\\n\\n    for size in uf.all_sizes():\\n        cnt_c *= factorial(size)\\n        cnt_c %= MOD\\n\\n    print(((cnt_r * cnt_c) % MOD))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import numpy as np\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1]*n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x,y = y,x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\nmod = 998244353\\nn,k = map(int,input().split())\\na = np.array([list(map(int,input().split())) for _ in range(n)],dtype=np.int64)\\nans = 1\\nfor _ in range(2):\\n    uf = UnionFind(n)\\n    for i in range(n):\\n        for j in range(i,n):\\n            if i==j:continue\\n            if max(a[i]+a[j])<=k:\\n                uf.union(i,j)\\n    c = uf.all_group_members()\\n    for key,v in c.items():\\n        tmp = 1\\n        for i in range(len(v)):\\n            tmp *= i+1\\n            tmp %= mod \\n        ans *= tmp\\n        ans %= mod\\n    a = a[::-1].T\\nprint(ans)\", \"# -*- coding: utf-8 -*-\\nimport sys\\nsys.setrecursionlimit(10**9)\\nINF=10**18\\nMOD=998244353\\ninput=lambda: sys.stdin.readline().rstrip()\\nYesNo=lambda b: bool([print('Yes')] if b else print('No'))\\nYESNO=lambda b: bool([print('YES')] if b else print('NO'))\\nint1=lambda x:int(x)-1\\n\\nN,K=map(int,input().split())\\na=[list(map(int,input().split())) for _ in range(N)]\\nclass UnionFind:\\n    def __init__(self,n):\\n        self.par=[i for i in range(n)]\\n        self.siz=[1]*n\\n        \\n    def root(self,x):\\n        while self.par[x]!=x:\\n            self.par[x]=self.par[self.par[x]]\\n            x=self.par[x]\\n        return x\\n    \\n    def unite(self,x,y):\\n        x=self.root(x)\\n        y=self.root(y)\\n        if x==y:\\n            return False\\n        if self.siz[x]<self.siz[y]:\\n            x,y=y,x\\n        self.siz[x]+=self.siz[y]\\n        self.par[y]=x\\n        return True\\n    \\n    def is_same(self,x,y):\\n        return self.root(x)==self.root(y)\\n    \\n    def size(self,x):\\n        return self.siz[self.root(x)]\\n    \\n    def get_roots(self):\\n        roots=set()\\n        for i in range(len(self.par)):\\n            roots.add(self.root(i))\\n        return list(roots)\\n\\n    def get_roots_and_size(self):\\n        roots=self.get_roots()\\n        roots_and_size=[[v,self.size(v)] for v in roots]\\n        return roots_and_size\\nuy=UnionFind(N)\\nux=UnionFind(N)\\nfor y0 in range(N):\\n    for y1 in range(N):\\n        for x in range(N):\\n            if a[y0][x]+a[y1][x]>K:\\n                break\\n        else:\\n            uy.unite(y0,y1)\\nfor x0 in range(N):\\n    for x1 in range(N):\\n        for y in range(N):\\n            if a[y][x0]+a[y][x1]>K:\\n                break\\n        else:\\n            ux.unite(x0,x1)\\nans=0\\nry=uy.get_roots_and_size()\\nrx=ux.get_roots_and_size()\\ndef COMinit(n,MOD):\\n    fac,finv,inv=[0]*max(2,n+1),[0]*max(2,n+1),[0]*max(2,n+1)\\n    fac[0]=fac[1]=1\\n    finv[0]=finv[1]=1\\n    inv[1]=1\\n    for i in range(2,(n+1)):\\n        fac[i]=fac[i-1]*i%MOD\\n        inv[i]=MOD-inv[MOD%i]*(MOD//i)%MOD\\n        finv[i]=finv[i-1]*inv[i]%MOD\\n    return fac,finv,inv\\n\\nfac,finv,inv=COMinit(N,MOD)\\n\\ndef COM(n, k, MOD=MOD):\\n    if n<k or n<0 or k<0:\\n        return 0\\n    return fac[n]*(finv[k]*finv[n-k]%MOD)%MOD\\n\\n\\nans=1\\nfor _,v in ry:\\n    ans*=fac[v]\\n    ans%=MOD\\nfor _,v in rx:\\n    ans*=fac[v]\\n    ans%=MOD\\nprint(ans)\", \"from collections import Counter\\nn, k = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(n)]\\nMOD = 998244353\\n\\nlst1 = [[] for _ in range(n)]\\nlst2 = [[] for _ in range(n)]\\n\\ng1 = [-1] * n\\ng2 = [-1] * n\\n\\nfor i in range(n-1):\\n    for j in range(i+1, n):\\n        jdg1 = True\\n        jdg2 = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                jdg1 = False\\n            if a[l][i] + a[l][j] > k:\\n                jdg2 = False\\n            if (not jdg1) and (not jdg2):break\\n        if jdg1:\\n            lst1[i].append(j)\\n            lst1[j].append(i)\\n            g1[i] = 0\\n            g1[j] = 0\\n        if jdg2:\\n            lst2[i].append(j)\\n            lst2[j].append(i)\\n            g2[i] = 0\\n            g2[j] = 0\\n\\ndef calc(lst, g):\\n    cnt = 1\\n    for i in range(n):\\n        if g[i] != 0: continue\\n        temp = [i]\\n        g[i] = cnt\\n        while temp:\\n            p = temp.pop()\\n            for ip in lst[p]:\\n                if g[ip] != 0:continue\\n                g[ip] = cnt\\n                temp.append(ip)\\n        cnt += 1\\n    return g\\n  \\ng1 = calc(lst1, g1)\\ncnt1 = Counter(g1)\\n\\ng2 = calc(lst2, g2)\\ncnt2 = Counter(g2)\\n\\nans = 1\\n\\nfor i, v in cnt1.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nfor i, v in cnt2.items():\\n    if i==-1: continue\\n    for j in range(1, v+1):\\n        ans *= (j % MOD)\\n    ans %= MOD\\n\\nprint(ans)\", \"\\nimport itertools,math\\nfrom collections import defaultdict\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def all_group_members(self):\\n        group_members = defaultdict(list)\\n        for member in range(self.n):\\n            group_members[self.find(member)].append(member)\\n        return group_members\\n\\n    def __str__(self):\\n        return '\\\\n'.join(f'{r}: {m}' for r, m in list(self.all_group_members().items()))\\nn,k = list(map(int,input().split()))\\na = [list(map(int,input().split())) for i in range(n)]\\na_row = []\\na_column = []\\nfor i in itertools.combinations(list(range(n)),2):\\n    for j in range(n):\\n        if a[i[0]][j] + a[i[1]][j] > k:\\n            break\\n        if j == n - 1:\\n            a_row.append(i)\\n    for j in range(n):\\n        if a[j][i[0]] + a[j][i[1]] > k:\\n            break\\n        if j == n - 1:\\n            a_column.append(i)\\nuf_row = UnionFind(n)\\nuf_column = UnionFind(n)\\nfor i in a_row:\\n    uf_row.union(i[0],i[1])\\nfor i in a_column:\\n    uf_column.union(i[0],i[1])\\nans = 1\\nfor i in list(uf_row.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nfor i in list(uf_column.all_group_members().values()):\\n    ans = ans * math.factorial(len(i)) % 998244353\\nprint(ans)\\n\", \"n,k=map(int, input().split())\\nmat=[]\\nfor i in range(n):\\n    mat.append(list(map(int, input().split())))\\n\\ndef fact(n):\\n    tmp=1\\n    for i in range(2,n+1):\\n        tmp*=i\\n        tmp%=998244353\\n    \\n    return tmp\\n\\ngoto=[[] for i in range(n)]\\nfor gyou1 in range(n):\\n    for gyou2 in range(gyou1+1,n):\\n        OK=True\\n        for retu in range(n):\\n            if mat[gyou1][retu]+mat[gyou2][retu]>k:\\n                OK=False\\n        if OK:\\n            goto[gyou1].append(gyou2)\\n            goto[gyou2].append(gyou1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_gyou=1\\n\\nfor i in range(gro_no+1):\\n    ans_gyou*=fact(gro_cnt[i])\\n\\n\\ngoto=[[] for i in range(n)]\\nfor retu1 in range(n):\\n    for retu2 in range(retu1+1,n):\\n        OK=True\\n        for gyou in range(n):\\n            if mat[gyou][retu1]+mat[gyou][retu2]>k:\\n                OK=False\\n        if OK:\\n            goto[retu1].append(retu2)\\n            goto[retu2].append(retu1)\\n\\nfrom collections import deque\\nque=deque()\\ngro=[-1]*n\\n\\nque.append(0)\\ngro_no=0\\ngro[0]=0\\n\\nfor i in range(n):\\n    if gro[i]==-1:\\n        que.append(i)\\n        gro_no+=1\\n        gro[i]=gro_no\\n\\n    while que:\\n        now=que.popleft()\\n        for j in goto[now]:\\n            if gro[j]==-1:\\n                que.append(j)\\n                gro[j]=gro_no\\n\\ngro_cnt=[0]*(gro_no+1)\\nfor i in range(n):\\n    gro_cnt[gro[i]]+=1\\n\\n\\n\\nans_retu=1\\n\\nfor i in range(gro_no+1):\\n    ans_retu*=fact(gro_cnt[i])\\n\\nans=(ans_gyou*ans_retu)%998244353\\n\\nprint(ans)\", \"class UnionFindTree:\\n    \\\"\\\"\\\"Union-Find Tree\\n\\n    Attributes:\\n        n (int):    \\u9802\\u70b9\\u6570\\n        par (list): \\u8981\\u7d20\\u306e\\u683c\\u7d0d\\u5148\\n    \\\"\\\"\\\"\\n    def __init__(self, n):\\n        \\\"\\\"\\\"\\u521d\\u671f\\u5316 O(1)\\n\\n        Args:\\n            n (int): \\u9802\\u70b9\\u6570\\n        \\\"\\\"\\\"\\n        self.par = [-1] * n\\n\\n    def find(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u691c\\u7d22 O(\\u03b1(N))\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u306e\\u6839\\n        \\\"\\\"\\\"\\n        if self.par[x] < 0:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n\\n\\n    def union(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u4f75\\u5408 O(1)\\n\\n        Args:\\n            x (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n            y (int): \\u4f75\\u5408\\u5bfe\\u8c61\\u306e\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u8981\\u7d20\\n        \\\"\\\"\\\"\\n        x = self.find(x)\\n        y = self.find(y)\\n        \\n        if x == y:\\n            return\\n\\n        if self.par[x] > self.par[y]:\\n            x, y = y, x\\n\\n        self.par[x] += self.par[y]\\n        self.par[y] = x\\n\\n    def same(self, x, y):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u306e\\u5224\\u5b9a O(1)\\n\\n        Args:\\n            x (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n            y (int): \\u5224\\u5b9a\\u5bfe\\u8c61\\u306e\\u8981\\u7d20\\n\\n        Returns:\\n            bool: x\\u3068y\\u304c\\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5426\\u304b\\n        \\\"\\\"\\\"\\n        return self.find(x) == self.find(y)\\n    \\n    def size(self, x):\\n        \\\"\\\"\\\"\\u8981\\u7d20\\u6570\\u306e\\u8a08\\u7b97 O(1)\\n\\n        Args:\\n            x (int): \\u5bfe\\u8c61\\u8981\\u7d20\\n\\n        Returns:\\n            int: x\\u304c\\u5c5e\\u3059\\u308b\\u96c6\\u5408\\u306e\\u8981\\u7d20\\u6570\\n        \\\"\\\"\\\"\\n        return -self.par[self.find(x)]\\n\\n\\nN, K = map(int, input().split())\\na = [list(map(int, input().split())) for _ in range(N)]\\n\\nmod = 998244353\\n\\nuf1 = UnionFindTree(N)\\nuf2 = UnionFindTree(N)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[i][k] + a[j][k] > K:\\n                flag = False\\n        if flag:\\n            uf1.union(i, j)\\n\\nfor i in range(N):\\n    for j in range(i+1, N):\\n        flag = True\\n        for k in range(N):\\n            if a[k][i] + a[k][j] > K:\\n                flag = False\\n        if flag:\\n            uf2.union(i, j)\\n\\nl = [1]\\nfor i in range(1, N+1):\\n    l.append(l[-1] * i % mod)\\n\\nres = 1\\nfor i in range(N):\\n    if i == uf1.find(i):\\n        res = res * l[uf1.size(i)] % mod\\n    if i == uf2.find(i):\\n        res = res * l[uf2.size(i)] % mod\\n\\nprint(res)\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN,K = map(int,readline().split())\\nDIV = 998244353\\nA = [list(map(int,readline().split())) for i in range(N)]\\n\\n# K\\u306e\\u5236\\u7d04\\u304c\\u306a\\u3044\\u5834\\u5408\\n# \\u3069\\u3093\\u306a\\u306b\\u5165\\u308c\\u66ff\\u3048\\u3066\\u3082\\u3001\\u540c\\u3058\\u884c\\u30fb\\u540c\\u3058\\u5217\\u306b\\u5b58\\u5728\\u3059\\u308b\\u6570\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\u5909\\u308f\\u3089\\u306a\\u3044\\n# \\u3064\\u307e\\u308a\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5217\\u306e\\u30da\\u30a2\\u306f\\u9650\\u3089\\u308c\\u3066\\u3044\\u308b\\n# \\u884c\\u30fb\\u5217\\u306b\\u5bfe\\u3057\\u3066\\u3001\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u30da\\u30a2\\u306e\\u901a\\u308a\\u6570\\u3092\\u7b97\\u51fa\\u3057\\u3001\\u305d\\u308c\\u3092\\u639b\\u3051\\u5408\\u308f\\u305b\\u305f\\u3082\\u306e\\u304c\\u7b54\\u3048\\n\\n# \\u884cA\\u3068\\u884cB\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u884cB\\u3068\\u884cC\\u304c\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u5834\\u5408\\u3001\\n# \\u884cA\\u3068\\u884cC\\u304c\\u76f4\\u63a5\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u3067\\u306a\\u304f\\u3066\\u3082\\u64cd\\u4f5c\\u306b\\u3088\\u3063\\u3066\\u884cA,\\u884cC\\u306f\\u5165\\u308c\\u66ff\\u3048\\u308b\\u3053\\u3068\\u304c\\u51fa\\u6765\\u308b\\n# UnionFind\\u3067\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\u306a\\u3082\\u306e\\u540c\\u58eb\\u3092\\u30b0\\u30eb\\u30fc\\u30d4\\u30f3\\u30b0\\u3059\\u308b\\n\\n# by size\\n# 0-indexed\\n\\nclass UnionFind:\\n  N=0\\n  parent=None\\n  size=None\\n  def __init__(self,N):\\n    self.N=N\\n    self.parent=[i for i in range(self.N)]\\n    self.size=[1]*self.N\\n    \\n  def root(self,x):\\n    while x!=self.parent[x]:\\n      self.parent[x]=self.parent[self.parent[x]]\\n      x=self.parent[x]\\n    return x\\n  \\n  def same(self,x,y):\\n    return self.root(x)==self.root(y)\\n  \\n  def unite(self,x,y):\\n    x=self.root(x)\\n    y=self.root(y)\\n    if x==y:\\n      return\\n    if self.size[x]>self.size[y]:\\n      # \\u5927\\u304d\\u3044\\u65b9\\u306b\\u304f\\u3063\\u3064\\u3051\\u308b\\n      self.parent[y]=x\\n      self.size[x]+=self.size[y]\\n    else:\\n      self.parent[x]=y\\n      self.size[y]+=self.size[x]\\n      \\n  def get_group_size(self,x):\\n    return self.size[self.root(x)]\\n  \\n  def get_roots(self):\\n    r=set()\\n    for i in range(self.N):\\n      r.add(self.root(i))\\n    return r\\n  \\n  def show_parent(self):\\n    print(self.parent)\\n    \\n  def show_size(self):\\n    print(self.size)\\n\\nUF_row = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[i][k] + A[j][k] > K:\\n        break\\n    else:\\n      #print(\\\"\\u884c\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_row.unite(i, j)\\n      \\nrow_pat = 1\\nrow_roots = UF_row.get_roots()\\nfor root in row_roots:\\n  siz = UF_row.get_group_size(root)\\n  # siz\\u306e\\u968e\\u4e57\\u901a\\u308a\\u5206\\u7d44\\u307f\\u5408\\u308f\\u305b\\u304c\\u5b58\\u5728\\u3059\\u308b\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  row_pat *= pat\\n  row_pat %= DIV\\n  \\n#print(\\\"row_pat\\\",row_pat)\\n\\nUF_col = UnionFind(N)\\n\\nfor i in range(N - 1):\\n  for j in range(i + 1, N):\\n    for k in range(N):\\n      if A[k][i] + A[k][j] > K:\\n        break\\n    else:\\n      #print(\\\"\\u5217\\\",i,j,\\\"\\u5165\\u308c\\u66ff\\u3048\\u53ef\\u80fd\\\")\\n      UF_col.unite(i, j)\\n\\ncol_pat = 1\\ncol_roots = UF_col.get_roots()\\nfor root in col_roots:\\n  siz = UF_col.get_group_size(root)\\n  #print(\\\"root\\\",root,\\\"siz\\\",siz)\\n  pat = 1\\n  for p in range(1, siz + 1):\\n    pat *= p\\n    pat %= DIV\\n  col_pat *= pat\\n  col_pat %= DIV\\n  \\n#print(\\\"col_pat\\\",col_pat)\\n  \\nprint((row_pat * col_pat) % DIV)\", \"MOD = 998244353\\nfrom math import factorial\\nN, K = list(map(int, input().split()))\\nfield = [list(map(int, input().split())) for i in range(N)]\\n\\nclass Union_Find:\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3068\\u9ad8\\u3055\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u3092\\u521d\\u671f\\u5316\\u3057\\u3001\\n    # \\u8981\\u7d20N\\u500b\\u306eUnion-Find\\u68ee\\u3092\\u4f5c\\u6210\\u3059\\u308b\\u3002\\n    # \\u89aa\\u7ba1\\u7406\\u30ea\\u30b9\\u30c8\\u306f\\u3001\\u57fa\\u672c\\u7684\\u306b\\u306f\\u81ea\\u5206\\u306e\\u3072\\u3068\\u3064\\u4e0a\\u306e\\u89aa\\u3092\\u8868\\u3059\\u304c\\u3001\\n    # \\u5024\\u304c\\u8ca0\\u306e\\u5834\\u5408\\u306b\\u306f\\u3001\\u81ea\\u8eab\\u304c\\u6700\\u4e0a\\u4f4d\\u306e\\u89aa(\\u30ea\\u30fc\\u30c0\\u30fc)\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u8868\\u3057\\u3001\\n    # \\u81ea\\u5206\\u3092\\u542b\\u3081\\u305f\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u7ba1\\u7406\\u3059\\u308b\\u3053\\u3068\\u3068\\u3059\\u308b\\n    def __init__(self, N):\\n        self.parent = [-1] * N\\n        self.rank = [0] * N\\n        self.group_count = N\\n        self.N = N\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u3092\\u8fd4\\u3059\\n    def find(self, x):\\n        # \\u81ea\\u5206\\u81ea\\u8eab\\u304c\\u30ea\\u30fc\\u30c0\\u30fc\\u306a\\u3089\\u3001\\u81ea\\u5206\\u3092\\u8fd4\\u3059\\n        if self.parent[x] < 0:\\n            return x\\n\\n        # \\u518d\\u5e30\\u7684\\u306b\\u635c\\u7d22\\u3057\\u3001\\u898b\\u3064\\u304b\\u308c\\u3070\\u7e4b\\u304e\\u5909\\u3048\\u3066\\u304a\\u304f\\n        # (\\u8a08\\u7b97\\u91cf\\u304c\\u5897\\u3048\\u308b\\uff1d\\u9762\\u5012\\u304f\\u3055\\u3044\\u306e\\u3067)\\u9ad8\\u3055\\u7ba1\\u7406\\u306f\\u884c\\u308f\\u306a\\u3044\\n        par = self.find(self.parent[x])\\n        self.parent[x] = par\\n        return par\\n\\n    # x\\u3068y\\u306e\\u30b0\\u30eb\\u30fc\\u30d7\\u3092\\u7d71\\u5408\\u3059\\u308b\\n    def unite(self, x, y):\\n        # \\u305d\\u308c\\u305e\\u308c\\u306e\\u30ea\\u30fc\\u30c0\\u30fc\\u306b\\u5bfe\\u3059\\u308b\\u64cd\\u4f5c\\u3092\\u884c\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        # \\u30ea\\u30fc\\u30c0\\u30fc\\u304c\\u540c\\u3058\\u306a\\u3089\\u4f55\\u3082\\u3059\\u308b\\u5fc5\\u8981\\u304c\\u306a\\u3044\\n        if x == y:\\n            return\\n\\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u540c\\u3058\\u5834\\u5408\\uff1a\\n        # \\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u4eba\\u6570\\u3092\\u5408\\u8a08\\u3057\\u3064\\u3064\\u9069\\u5f53\\u306b\\u7e4b\\u304e\\u3001\\u7e4b\\u3052\\u3089\\u308c\\u305f\\u65b9\\u306e\\u9ad8\\u3055\\u30921\\u5897\\u3084\\u3059\\n        if self.rank[x] == self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n            self.rank[x] += 1\\n        \\n        # \\u6728\\u306e\\u9ad8\\u3055\\u304c\\u9055\\u3046\\u306a\\u3089\\u3001\\u4f4e\\u3044\\u65b9\\u3092\\u9ad8\\u3044\\u65b9\\u306b\\u3064\\u306a\\u3050\\n        elif self.rank[x] > self.rank[y]:\\n            self.parent[x] += self.parent[y]\\n            self.parent[y] = x\\n        else:\\n            self.parent[y] += self.parent[x]\\n            self.parent[x] = y\\n        \\n        # \\u7d71\\u5408\\u3055\\u308c\\u305f\\u5834\\u5408\\u3001\\u30b0\\u30eb\\u30fc\\u30d7\\u6570\\u306f1\\u6e1b\\u308b\\n        self.group_count -= 1\\n    \\n    # x\\u3068y\\u304c\\u540c\\u3058\\u30b0\\u30eb\\u30fc\\u30d7\\u304b\\u3069\\u3046\\u304b\\u3092\\u8abf\\u3079\\u308b\\n    def samep(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u3092\\u30ea\\u30b9\\u30c8\\u3067\\u8fd4\\u3059\\n    def get_group_member_list(self, x):\\n        x = self.find(x)\\n        return [i for i in range(self.N) if self.find(i) == x]\\n    \\n    # x\\u306e\\u6240\\u5c5e\\u3059\\u308b\\u30b0\\u30eb\\u30fc\\u30d7\\u306e\\u30e1\\u30f3\\u30d0\\u30fc\\u6570\\u3092\\u8fd4\\u3059\\n    def get_group_member_count(self, x):\\n        x = self.find(x)\\n        return -self.parent[x]\\n\\n    # \\u5168\\u3066\\u306e{\\u30ea\\u30fc\\u30c0\\u30fc:\\u30b0\\u30eb\\u30fc\\u30d7\\u30e1\\u30f3\\u30d0\\u30fc\\u6570}\\u3092\\u8f9e\\u66f8\\u5f62\\u5f0f\\u3067\\u8fd4\\u3059\\n    def get_all_groups(self):\\n        return {idx:-n for idx, n in enumerate(self.parent) if n < 0}\\n\\nhg = Union_Find(N)\\nfor i in range(N-1):\\n    h1 = field[i]\\n    for j in range(i,N):\\n        h2 = field[j]\\n        if all([True if x+y <= K else False for x, y in zip(h1, h2)]):\\n            hg.unite(i, j)\\n\\nvg = Union_Find(N)\\nrotated = list(zip(*field))\\nfor i in range(N-1):\\n    v1 = rotated[i]\\n    for j in range(i, N):\\n        v2 = rotated[j]\\n        if all([True if x+y <= K else False for x, y in zip(v1, v2)]):\\n            vg.unite(i, j)\\n\\nresult = 1\\nfor value in list(hg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nfor value in list(vg.get_all_groups().values()):\\n    result *= factorial(value)\\n    result %= MOD\\n\\nprint(result)\\n\", \"import math,itertools,fractions,heapq,collections,bisect,sys,queue,copy\\n\\nsys.setrecursionlimit(10**7)\\ninf=10**20\\nmod=998244353\\ndd=[(-1,0),(0,1),(1,0),(0,-1)]\\nddn=[(-1,0),(-1,1),(0,1),(1,1),(1,0),(1,-1),(0,-1),(-1,-1)]\\n\\ndef LI(): return [int(x) for x in sys.stdin.readline().split()]\\n# def LF(): return [float(x) for x in sys.stdin.readline().split()]\\ndef I(): return int(sys.stdin.readline())\\ndef F(): return float(sys.stdin.readline())\\ndef LS(): return sys.stdin.readline().split()\\ndef S(): return input()\\n\\n# Union-Find -- START --\\nclass UnionFind():\\n  def __init__(self,sz):\\n    self.sz=sz\\n    self.data=[-1]*sz\\n    self.amount=[0]*sz\\n\\n  def unite(self,x,y):\\n    x=self.find(x)\\n    y=self.find(y)\\n    if x==y:\\n      return False\\n    self.amount[x]+=self.amount[y]\\n    self.amount[y]+=self.amount[x]\\n    if self.data[x]>self.data[y]:\\n      x,y=y,x\\n    self.data[x]+=self.data[y]\\n    self.data[y]=x\\n    return True\\n\\n  def find(self,k):\\n    if self.data[k]<0:\\n      return k\\n    self.data[k]=self.find(self.data[k])\\n    return self.data[k]\\n\\n  def size(self,k):\\n    return -self.data[self.find(k)]\\n\\n  def set_amount(self,k,k_amount):\\n    self.amount[k]=k_amount\\n\\n  def get_amount(self,k):\\n    return self.amount[k]\\n# Union-Find --- END ---\\n\\ndef main():\\n  n,K=LI()\\n  field=[LI() for _ in range(n)]\\n  uf1=UnionFind(n)\\n  uf2=UnionFind(n)\\n\\n  for i in range(n):\\n    l1=[True]*n\\n    for j in range(i+1,n):\\n      if not l1[i]:\\n        continue\\n      for k in range(n):\\n        # print(field[i][k],field[j][k])\\n        if field[i][k]+field[j][k]>K:\\n          l1[j]=False\\n          break\\n    # print(l1[j])\\n    for j in range(i+1,n):\\n      if l1[j]:\\n        uf1.unite(i,j)\\n\\n    # for i in range(n):\\n    #   print(uf1.find(i))\\n\\n  for i in range(n):\\n    l2=[True]*n\\n    for j in range(i+1,n):\\n      if not l2[i]:\\n        continue\\n      for k in range(n):\\n        if field[k][i]+field[k][j]>K:\\n          l2[j]=False\\n          break\\n    for j in range(i+1,n):\\n      if l2[j]:\\n        uf2.unite(i,j)\\n\\n  # for i in range(n):\\n  #   print(uf2.find(i))\\n\\n  ans1=1\\n  check1=[True]*n\\n  for i in range(n):\\n    sz=uf1.size(i)\\n    pa=uf1.find(i)\\n    if check1[pa]:\\n      check1[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans1*=_ans\\n      ans1%=mod\\n\\n  # print(ans1)\\n\\n  ans2=1\\n  check2=[True]*n\\n  for i in range(n):\\n    sz=uf2.size(i)\\n    pa=uf2.find(i)\\n    if check2[pa]:\\n      check2[pa]=False\\n      _ans=1\\n      for j in range(2,sz+1):\\n        _ans*=j\\n        _ans%=mod\\n      ans2*=_ans\\n      ans2%=mod\\n\\n  return (ans1*ans2)%mod\\n\\n# main()\\nprint((main()))\\n\", \"import sys\\ntry:\\n    import os\\n    f = open('input.txt', 'r')\\n    sys.stdin = f\\nexcept FileNotFoundError:\\n    None\\nfrom math import sqrt, ceil, floor\\nfrom collections import deque, Counter, defaultdict\\n# defaultdict(int)\\ninput=lambda: sys.stdin.readline().strip()\\nsys.setrecursionlimit(11451419)\\nfrom decimal import ROUND_HALF_UP,Decimal  #\\u5909\\u63db\\u5f8c\\u306e\\u672b\\u5c3e\\u6841\\u30920\\u30840.01\\u3067\\u6307\\u5b9a\\n  #Decimal((str(0.5)).quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nfrom functools import lru_cache\\nfrom bisect import bisect_left as bileft, bisect_right as biright, insort\\nfrom itertools import combinations as com, permutations as per\\nfrom fractions import Fraction as frac  #frac(a,b)\\u3067\\u6b63\\u78ba\\u306aa/b\\n# @lru_cache(maxsize=10**10)\\n#######\\u3053\\u3053\\u307e\\u3067\\u30c6\\u30f3\\u30d7\\u30ec#######\\n#\\u30bd\\u30fc\\u30c8\\u3001\\\"a\\\"+\\\"b\\\"\\u3001\\u518d\\u5e30\\u306a\\u3089Python3\\u306e\\u65b9\\u304c\\u3044\\u3044\\n#######\\u3053\\u3053\\u304b\\u3089\\u5929\\u3077\\u3089########\\n\\nn,k=list(map(int,input().split()))\\nA=[list(map(int,input().split())) for i in range(n)]\\ncntx=0; cnty=0\\n\\nkai=[1]*70\\nmod=998244353\\nfor i in range(1,65):\\n    kai[i]=(kai[i-1]*i)%mod\\n# print(kai)\\n\\nclass UnionFind():\\n    def __init__(self,num):\\n        self.n = num\\n        self.parents = [-1 for i in range(self.n)]\\n\\n\\n\\n    def find(self,x):\\n        if self.parents[x]<0:\\n            return x\\n        else:\\n            self.parents[x]=self.find(self.parents[x])\\n\\n            return self.parents[x]\\n\\n\\n    def union(self,x,y):\\n        xx=self.find(x)\\n        yy=self.find(y)\\n        if xx==yy:\\n            return\\n        else:\\n            size_xx=abs(self.parents[xx])\\n            size_yy=abs(self.parents[yy])\\n            if size_xx>size_yy:\\n                xx,yy=yy,xx\\n\\n            self.parents[yy]+=self.parents[xx]\\n            self.parents[xx]=yy\\n\\n\\n    def size(self,x):\\n        xx=self.find(x)\\n        return abs(self.parents[xx])\\n\\n\\n    def same(self,x,y):\\n        return 1 if self.find(x)==self.find(y) else 0\\n\\n\\n    def members(self,x):\\n        xx=self.find(x)\\n        return [i for i in range(self.n) if self.find(i)==xx]\\n\\n\\n\\n    def roots(self):\\n        return [i for i,x in enumerate(self.parents) if x < 0]\\n\\n\\n\\n    def all_group_members(self):\\n        return {r:self.members(r) for r in self.roots()}\\n\\n    def state_grouping(self):\\n        return list(self.all_group_members().values())\\n\\n# uf=UnionFind(n)\\nufx=UnionFind(n)\\nufy=UnionFind(n)\\n\\nfor i in range(n):\\n    po=0\\n    for j in range(i):\\n        for p in range(n):\\n            if A[i][p]+A[j][p]>k:\\n                po=1;break\\n        else:\\n            ufx.union(i,j)\\n\\nfor i in range(n):\\n    for j in range(n):\\n        for p in range(n):\\n            if A[p][i]+A[p][j]>k:break\\n        else:\\n            ufy.union(i,j)\\n\\nxx=1; yy=1\\nfor i in ufx.parents:\\n    if i<-1:\\n        xx*=kai[abs(i)]\\n        xx%=mod\\nfor j in ufy.parents:\\n    if j<-1:\\n        yy*=kai[abs(j)]\\n        yy%=mod\\n\\nprint((xx*yy%mod))\\n\", \"class UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n\\n        if x == y:\\n            return\\n\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n\\n    def group_count(self):\\n        return len(self.roots())\\n\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\nmod=998244353\\nn,wa=map(int,input().split())\\na=[list(map(int,input().split())) for i in range(n)]\\nufg=UnionFind(n)\\nufl=UnionFind(n)\\nfor i in range(n-1):\\n  for j in range(i+1,n):\\n    fl=1\\n    fg=1\\n    for k in range(n):\\n      if a[i][k]+a[j][k]>wa:\\n        fg=0\\n        break\\n    for k in range(n):\\n      if a[k][i]+a[k][j]>wa:\\n        fl=0\\n        break\\n    if fg:\\n      ufg.union(i,j)\\n    if fl:\\n      ufl.union(i,j)\\nfrom math import factorial as fa\\nsg=1\\nsl=1\\nfor i in ufg.roots():\\n  sg*=fa(ufg.size(i))\\n  sg%=mod\\nfor i in ufl.roots():\\n  sl*=fa(ufl.size(i))\\n  sl%=mod\\nprint((sl*sg)%mod)\", \"#Union Find Tree\\nclass UnionFind():\\n    def __init__(self, n):\\n        self.n = n\\n        self.parents = [-1] * n\\n    def find(self, x):\\n        if self.parents[x] < 0:\\n            return x\\n        else:\\n            self.parents[x] = self.find(self.parents[x])\\n            return self.parents[x]\\n    def union(self, x, y):\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x == y:\\n            return\\n        if self.parents[x] > self.parents[y]:\\n            x, y = y, x\\n        self.parents[x] += self.parents[y]\\n        self.parents[y] = x\\n    def size(self, x):\\n        return -self.parents[self.find(x)]\\n    def same(self, x, y):\\n        return self.find(x) == self.find(y)\\n    def members(self, x):\\n        root = self.find(x)\\n        return [i for i in range(self.n) if self.find(i) == root]\\n    def roots(self):\\n        return [i for i, x in enumerate(self.parents) if x < 0]\\n    def group_count(self):\\n        return len(self.roots())\\n    def all_group_members(self):\\n        return {r: self.members(r) for r in self.roots()}\\n    def __str__(self):\\n        return '\\\\n'.join('{}: {}'.format(r, self.members(r)) for r in self.roots())\\n      \\nN,K=map(int,input().split())\\nA=[]\\nfor i in range(N):\\n  a=list(map(int, input().split()))\\n  A.append(a)\\n\\nUF1=UnionFind(N)\\nUF2=UnionFind(N)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[i][k]+A[j][k]>K:\\n        l=1\\n    if l==0:\\n      UF1.union(i,j)\\n\\nfor i in range(N):\\n  for j in range(i+1,N):\\n    l=0\\n    for k in range(N):\\n      if A[k][i]+A[k][j]>K:\\n        l=1\\n    if l==0:\\n      UF2.union(i,j)\\n    \\ndef fac(x):\\n  ans=1\\n  for i in range(1,x+1):\\n    ans*=i\\n    ans%=998244353\\n  return ans\\n    \\nans=1\\nfor i in UF1.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nfor i in UF2.parents:\\n  if i < 0:\\n    ans*=fac(-i)\\n    ans%=998244353\\n    \\nprint(ans)\", \"mod = 998244353\\nfact=[1]\\nfor i in range(1,51):\\n    x = (i*fact[-1])%mod\\n    fact.append(x)\\nn,k = list(map(int,input().split()))\\ndef dfs(node):\\n    if vis[node]:\\n        return 0\\n    vis[node]=1\\n    ans=1\\n    for i in m[node]:\\n        ans+=dfs(i)\\n    return ans\\n\\nl=[]\\nfor i in range(n):\\n    l.append(list(map(int,input().split())))\\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for b in range(n):\\n            if l[i][b]+l[j][b]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\n\\na=1\\nb=1\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    a = (a*fact[x])%mod\\n\\n            \\nm=[]\\nfor i in range(n):\\n    m.append([])\\nfor i in range(n):\\n    for j in range(i+1,n):\\n        e=1\\n        for v in range(n):\\n            if l[v][i]+l[v][j]>k:\\n                e=0\\n                break\\n        if e:\\n            m[i].append(j)\\n            m[j].append(i)\\nvis=[0]*n\\nfor i in range(n):\\n    x = dfs(i)\\n    b = (b*fact[x])%mod\\nans = (a*b)%mod\\nprint(ans)\\n        \\n        \\n\", \"import math\\nfrom math import gcd,pi,sqrt\\nINF = float(\\\"inf\\\")\\nMOD = 10**9 + 7\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**6)\\nimport itertools\\nimport bisect\\nimport re\\nfrom collections import Counter,deque,defaultdict\\ndef iinput(): return int(input())\\ndef imap(): return map(int, input().split())\\ndef ilist(): return list(imap())\\ndef irow(N): return [iinput() for i in range(N)]\\ndef sinput(): return input().rstrip()\\ndef smap(): return sinput().split()\\ndef slist(): return list(smap())\\ndef srow(N): return [sinput() for i in range(N)]\\n\\ndef main():\\n    MOD = 998244353\\n    class UnionFind:\\n        def __init__(self, n):\\n            self.par = [i for i in range(n+1)]\\n            self.rank = [0] * (n+1)\\n            self.size = [1] * (n+1) # \\u89aa\\u306b\\u96c6\\u7d04\\u3055\\u308c\\u308b\\n    \\n        # \\u691c\\u7d22\\n        def find(self, x):\\n            if self.par[x] == x:\\n                return x\\n            else:\\n                self.par[x] = self.find(self.par[x])\\n                return self.par[x]\\n    \\n        # \\u4f75\\u5408\\n        def union(self, x, y):\\n            x = self.find(x)\\n            y = self.find(y)\\n    \\n            if x == y:\\n                return\\n    \\n            if self.rank[x] < self.rank[y]:\\n                self.par[x] = y\\n                self.size[y] += self.size[x]\\n                self.size[x] = 0\\n            else:\\n                self.par[y] = x\\n                self.size[x] += self.size[y]\\n                self.size[y] = 0\\n                if self.rank[x] == self.rank[y]:\\n                    self.rank[x] += 1\\n    \\n        # \\u540c\\u3058\\u96c6\\u5408\\u306b\\u5c5e\\u3059\\u308b\\u304b\\u5224\\u5b9a\\n        def same(self, x, y):\\n            return self.find(x) == self.find(y)\\n    \\n        # \\u3059\\u3079\\u3066\\u306e\\u9802\\u70b9\\u306b\\u5bfe\\u3057\\u3066\\u89aa\\u3092\\u691c\\u7d22\\u3059\\u308b\\n        def all_find(self):\\n            for n in range(len(self.par)):\\n                self.find(n)\\n    N,K = imap()\\n    import numpy as np\\n    A = np.array([ilist() for i in range(N)])\\n    uf_i = UnionFind(N)\\n    uf_r = UnionFind(N)\\n\\n    for i in range(N-1):\\n        for j in range(i+1,N):\\n            if np.all(A[i] + A[j] <= K):\\n                uf_i.union(i+1,j+1)\\n            if np.all(A[:,i] + A[:,j] <= K):\\n                uf_r.union(i+1, j+1)\\n    uf_i.all_find()\\n    uf_r.all_find()\\n    \\n    ans = 1\\n    for i in uf_i.size:\\n        if i in [0,1]:\\n            continue\\n        ans *= math.factorial(i)\\n    for j in uf_r.size:\\n        if j in [0,1]:\\n            continue\\n        ans *= math.factorial(j)\\n    print(ans%MOD)\\n\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"mod = 998244353\\nN, K = list(map(int, input().split()))\\nA = []\\nfor i in range(N):\\n    a = [int(i) for i in input().split()]\\n    A.append(a)\\n\\nmemo = [1]\\nfor i in range(1, 52):\\n    num = memo[-1]\\n    memo.append(num*i%mod)\\n\\nclass UnionFind:\\n    def __init__(self, n):\\n        # \\u8ca0  : \\u6839\\u3067\\u3042\\u308b\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u7d76\\u5bfe\\u5024\\u306f\\u30e9\\u30f3\\u30af\\u3092\\u793a\\u3059\\n        # \\u975e\\u8ca0: \\u6839\\u3067\\u306a\\u3044\\u3053\\u3068\\u3092\\u793a\\u3059\\u3002\\u5024\\u306f\\u89aa\\u3092\\u793a\\u3059\\n        self.table = [-1] * n\\n \\n    def _root(self, x):\\n        stack = []\\n        tbl = self.table\\n        while tbl[x] >= 0:\\n            stack.append(x)\\n            x = tbl[x]\\n        for y in stack:\\n            tbl[y] = x\\n        return x\\n\\n    def count(self, x):\\n        return -self.table[self._root(x)]\\n \\n    def find(self, x, y):\\n        return self._root(x) == self._root(y)\\n\\n    def union(self, x, y):\\n        r1 = self._root(x)\\n        r2 = self._root(y)\\n        if r1 == r2:\\n            return\\n        # \\u30e9\\u30f3\\u30af\\u306e\\u53d6\\u5f97\\n        d1 = self.table[r1]\\n        d2 = self.table[r2]\\n        if d1 <= d2:\\n            self.table[r2] = r1\\n            self.table[r1] += d2\\n        else:\\n            self.table[r1] = r2\\n            self.table[r2] += d1\\n\\nuni1 = UnionFind(N)\\nuni2 = UnionFind(N)\\n\\nfor i in range(N-1):\\n    for j in range(i+1, N):\\n        cur1 = 0\\n        cur2 = 0\\n        for k in range(N):\\n            if A[i][k] + A[j][k] <= K:\\n                cur1 += 1\\n            if A[k][i] + A[k][j] <= K:\\n                cur2 += 1\\n        if cur1 == N:\\n            uni1.union(i, j)\\n        if cur2 == N:\\n            uni2.union(i, j)\\n\\nlsnum = []\\nset1, set2 = set(), set()\\nfor i in range(N):\\n    if uni1._root(i) not in set1:\\n        lsnum.append(uni1.count(i))\\n        set1.add(uni1._root(i))\\n    if uni2._root(i) not in set2:\\n        lsnum.append(uni2.count(i))\\n        set2.add(uni2._root(i))\\n\\nans = 1\\nfor num in lsnum:\\n    ans = ans * memo[num] %mod\\nans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n  px, py = find(x, uf), find(y, uf)\\n  if px != py:\\n    if rank[px] > rank[py]:\\n      px, py = py, px\\n    rank[py] += rank[px]\\n    uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      union(i, j, uf1, rank1)\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      union(i, j, uf2, rank2)\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import math\\nN, K = list(map(int, input().split()))\\nA = []\\nmod = 998244353\\nfor _ in range(N):\\n  A.append(list(map(int, input().split())))\\n\\ndef find(x, uf):\\n  if uf[x] != x:\\n    uf[x] = find(uf[x], uf)\\n  return uf[x]\\n\\ndef union(x, y, uf, rank):\\n    px, py = find(x, uf), find(y, uf)\\n    if px != py:\\n        if rank[px] > rank[py]:\\n            px, py = py, px\\n        rank[py] += rank[px]\\n        uf[px] = py\\n  \\nuf1 = {i: i for i in range(N)}\\nuf2 = {i: i for i in range(N)}\\nrank1 = {i: 1 for i in range(N)}\\nrank2 = {i: 1 for i in range(N)}\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(A[i], A[j])):\\n      px, py = find(i, uf1), find(j, uf1)\\n      if px != py:\\n        if rank1[px] > rank1[py]:\\n          px, py = py, px\\n        rank1[py] += rank1[px]\\n        uf1[px] = py\\nB = list(zip(*A))\\nfor i in range(N):\\n  for j in range(i + 1, N):\\n    if all(a + b <= K for a, b in zip(B[i], B[j])):\\n      px, py = find(i, uf2), find(j, uf2)\\n      if px != py:\\n        if rank2[px] > rank2[py]:\\n          px, py = py, px\\n        rank2[py] += rank2[px]\\n        uf2[px] = py\\nans = 1\\nfor x in set(find(i, uf1) for i in range(N)):\\n  ans *= math.factorial(rank1[x])\\n  ans %= mod\\nfor x in set(find(i, uf2) for i in range(N)):\\n  ans *= math.factorial(rank2[x])\\n  ans %= mod\\nprint(ans)\\n\", \"import collections as co\\ndef searchRoot(n):\\n    par = parList[n]\\n    if n == par:\\n        if len(q) > 0:\\n            rootIn(q,n)\\n        return n\\n    else:\\n        q.append(n)\\n        return(searchRoot(par))\\n\\ndef rootIn(q,root):\\n    while len(q) > 0:\\n        parList[q.popleft()] = root\\n\\ndef UnionFind(n,m,lis):\\n    for i in range(m):\\n        a,b = lis[i]\\n        aRoot = searchRoot(a)\\n        bRoot = searchRoot(b)\\n        if aRoot != bRoot:\\n            parList[max(aRoot,bRoot)] = min(aRoot,bRoot)\\n\\n    ansDic = dict()\\n    rootSet = set()\\n    for i in range(0,n):\\n        root = searchRoot(i)\\n        if root in rootSet:\\n            ansDic[root] += 1\\n        else:\\n            rootSet.add(root)\\n            ansDic[root] = 1\\n\\n    return ansDic\\n\\n\\nn,k = list(map(int,input().split()))\\n\\na = []\\nfor i in range(n):\\n    aRow = list(map(int,input().split()))\\n    a.append(aRow)\\n\\nrowLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[i][l] + a[j][l] > k:\\n                check = False\\n                break\\n        if check:\\n            rowLis.append([i,j])\\n#print(rowLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\nrowDic = UnionFind(n,len(rowLis),rowLis)\\n\\n\\ncolLis = []\\nfor i in range(n-1):\\n    for j in range(i+1,n):\\n        check = True\\n        for l in range(n):\\n            if a[l][i] + a[l][j] > k:\\n                check = False\\n                break\\n        if check:\\n            colLis.append([i,j])\\n#print(colLis)\\nparList = [i for i in range(n+1)]\\nq = co.deque()\\ncolDic = UnionFind(n,len(colLis),colLis)\\n\\nans = 1\\n#print(rowDic)\\n#print(colDic)\\nfor i in rowDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\nfor i in colDic.values():\\n    for j in range(1,i+1):\\n        ans = ans * j\\n\\nans = ans % 998244353\\nprint(ans)\", \"def MI():\\n    return map(int, input().split())\\n\\nn,k= MI()\\nmod=998244353\\nframod=[1]\\ndef framod_calc(n, mod, a=1):\\n    for i in range(1,n+1):\\n        a=a * i % mod\\n        framod.append(a)\\nframod_calc(n+1, mod)\\ndef permmod(n, k, mod):\\n    if n<k: return 0\\n    a=framod[n]\\n    c=framod[n-k]\\n    return (a * pow(c, mod-2, mod)) % mod\\n\\nmat=[]\\nmatinv=[[0]*n for _ in range(n)]\\nfor i in range(n):\\n    mat.append(list(MI()))\\n\\nfor i in range(n):\\n    for j in range(n):\\n        matinv[i][j]=mat[j][i]\\n\\nesrow=[]\\nescol=[]\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if mat[i][p]+mat[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            esrow.append((i,j))\\n\\nfor i in range(n):\\n    for j in range(i+1, n):\\n        flg=True\\n        for p in range(n):\\n            if matinv[i][p]+matinv[j][p]>k:\\n                flg=False\\n                break\\n        if flg:\\n            escol.append((i,j))\\n\\nclass UnionFind(object): # size\\u3092O(1)\\u3067\\u5f15\\u3051\\u308bversion\\n    def __init__(self, n=1):\\n        self.n=n\\n        self.par = [i for i in range(n)]\\n        self.rank = [0 for _ in range(n)]\\n        self.sizebox = [1]*n\\n    def find(self, x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50\\u6210\\u5206\\u306e\\u4ee3\\u8868\\u5143\\n        if self.par[x] == x:\\n            return x\\n        else:\\n            self.par[x] = self.find(self.par[x])\\n            return self.par[x]\\n    def union(self, x, y): # x,y\\u3092\\u9023\\u7d50\\u3001\\u3064\\u3044\\u3067\\u306b\\u30b5\\u30a4\\u30ba\\u3082\\u9023\\u7d50\\n        x = self.find(x)\\n        y = self.find(y)\\n        if x != y:\\n            if self.rank[x] < self.rank[y]:\\n                x, y = y, x\\n            if self.rank[x] == self.rank[y]:\\n                self.rank[x] += 1\\n            self.par[y] = x\\n            self.sizebox[x]+=self.sizebox[y]\\n            self.sizebox[y]=0\\n    def same(self, x, y): # x,y\\u304c\\u9023\\u7d50\\u304b\\u3069\\u3046\\u304b\\n        return self.find(x) == self.find(y)\\n    def size(self,x): # x\\u306e\\u5c5e\\u3059\\u308b\\u9023\\u7d50size\\u3092O(1)\\u3067\\u51fa\\u3059\\n        x = self.find(x)\\n        return self.sizebox[x]\\n    def allfind(self): # find\\u30921\\u5468\\u3059\\u308b\\n        for i in range(self.n):\\n            self.find(i)\\n\\nufr=UnionFind(n)\\nufc=UnionFind(n)\\n\\nfor i,j in esrow:\\n    ufr.union(i,j)\\n\\nfor i,j in escol:\\n    ufc.union(i,j)\\n\\nfor i in range(n):\\n    ufr.find(i)\\n    ufc.find(i)\\n\\nfrom collections import Counter\\ncpar=Counter(ufc.par)\\nrpar=Counter(ufr.par)\\n\\nans=1\\n\\nfor k in cpar.keys():\\n    x=cpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nfor k in rpar.keys():\\n    x=rpar[k]\\n    ans*=permmod(x,x,mod)\\n    ans%=mod\\n\\nprint(ans%mod)\", \"MOD = 998244353\\nSIZE = 10 ** 6\\n\\ng1 = [1, 1]\\ng2 = [1, 1]\\nre = [0, 1]\\nfor i in range(2, SIZE + 1):\\n    g1.append((g1[-1] * i) % MOD)\\ndef fact(n):\\n    return g1[n]\\n\\n\\n# i-index\\nclass UnionFind:\\n    def __init__(self, n):\\n        self.root = [i for i in range(n + 1)]\\n        self.size = [1] * (n + 1)\\n        self.nn = n\\n    def find(self, x):\\n        y = self.root[x]\\n        if x == y:\\n            return x\\n        else:\\n            z = self.find(y)\\n            self.root[x] = z\\n            return z\\n    def union(self, x, y):\\n        rx = self.find(x)\\n        ry = self.find(y)\\n        sx = self.size[rx]\\n        sy = self.size[ry]\\n        if rx == ry:\\n            return 0\\n        else:\\n            if sx >= sy:\\n                self.root[ry] = rx\\n                self.size[rx] = sx + sy\\n            else:\\n                self.root[rx] = ry\\n                self.size[ry] = sx + sy\\n        return sx * sy\\n    def size_list(self, n):\\n        ret = []\\n        cnt = [0] * (n + 1)\\n        for i in range(1, n + 1):\\n            #print(i, self.find(i))\\n            if cnt[self.find(i)] == 0:\\n                cnt[self.find(i)] = 1\\n                ret.append(self.size[self.find(i)])\\n        return ret\\n    def check(self):\\n        print([self.find(i) for i in range(1, self.nn + 1)])\\n\\nN, K = map(int, input().split())\\nA = [list(map(int, input().split())) for _ in range(N)]\\n#print(A)\\n\\n\\ndef f(A):\\n    edge = []\\n    for i in range(N):\\n        ai = A[i]\\n        for j in range(i + 1, N):\\n            aj = A[j]\\n            flag = True\\n            for k in range(N):\\n                if ai[k] + aj[k] > K:\\n                    flag = False\\n                    break\\n            if flag:\\n                edge.append([i + 1, j + 1])\\n    #print(edge)\\n    \\n    for a, b in edge:\\n        uf.union(a, b)\\n    #print(\\\"check\\\")\\n    #uf.check()\\n    \\n    ret = 1\\n    sl = uf.size_list(N)\\n    #print(sl)\\n    for n in sl:\\n        ret = (ret * fact(n)) % MOD\\n    \\n    return ret\\n\\nuf = UnionFind(N)\\nanswer = f(A) % MOD\\n\\n# \\u8ee2\\u7f6e\\ntmp = [[] for _ in range(N)]\\nfor i in range(N):\\n    for j in range(N):\\n        tmp[j].append(A[i][j])\\nA = tmp\\n#print(A)\\n\\nuf = UnionFind(N)\\nanswer = (answer * f(A)) % MOD\\nprint(answer)\"]",
        "difficulty": "interview",
        "input": "8 34\n32 8 36 21 14 13 37 26\n28 22 60 51 48 62 16 25\n40 23 6 33 41 12 42 45\n35 11 4 1 56 59 44 7\n27 52 54 29 46 18 5 2\n63 50 53 55 30 64 61 34\n47 20 38 17 9 31 10 58\n39 43 15 49 24 57 3 19\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/arc107/tasks/arc107_c"
    },
    {
        "id": 214,
        "task_id": 1525,
        "test_case_id": 1,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "1 3 2\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 215,
        "task_id": 1525,
        "test_case_id": 2,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "1 3 1\n",
        "output": "2\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 216,
        "task_id": 1525,
        "test_case_id": 3,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "2 3 3\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 217,
        "task_id": 1525,
        "test_case_id": 4,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "2 3 1\n",
        "output": "5\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 218,
        "task_id": 1525,
        "test_case_id": 5,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "7 1 1\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 219,
        "task_id": 1525,
        "test_case_id": 6,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "15 8 5\n",
        "output": "437760187\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 220,
        "task_id": 1525,
        "test_case_id": 7,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "100 8 8\n",
        "output": "467571711\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 221,
        "task_id": 1525,
        "test_case_id": 8,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "100 8 3\n",
        "output": "938282570\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 222,
        "task_id": 1525,
        "test_case_id": 9,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "100 8 1\n",
        "output": "755868507\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 223,
        "task_id": 1525,
        "test_case_id": 10,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "77 7 7\n",
        "output": "237739357\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 224,
        "task_id": 1525,
        "test_case_id": 11,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "98 7 6\n",
        "output": "736412603\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 225,
        "task_id": 1525,
        "test_case_id": 12,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "57 5 1\n",
        "output": "151419294\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 226,
        "task_id": 1525,
        "test_case_id": 13,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "33 4 2\n",
        "output": "938946695\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 227,
        "task_id": 1525,
        "test_case_id": 14,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "86 7 4\n",
        "output": "505044568\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 228,
        "task_id": 1525,
        "test_case_id": 15,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "91 4 3\n",
        "output": "908754076\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 229,
        "task_id": 1525,
        "test_case_id": 16,
        "question": "Amidakuji is a traditional method of lottery in Japan.\nTo make an amidakuji, we first draw W parallel vertical lines, and then draw horizontal lines that connect them. The length of each vertical line is H+1 [cm], and the endpoints of the horizontal lines must be at 1, 2, 3, ..., or H [cm] from the top of a vertical line.\nA valid amidakuji is an amidakuji that satisfies the following conditions:\n - No two horizontal lines share an endpoint.\n - The two endpoints of each horizontal lines must be at the same height.\n - A horizontal line must connect adjacent vertical lines.\n\nFind the number of the valid amidakuji that satisfy the following condition, modulo 1\\ 000\\ 000\\ 007: if we trace the path from the top of the leftmost vertical line to the bottom, always following horizontal lines when we encounter them, we reach the bottom of the K-th vertical line from the left.\nFor example, in the following amidakuji, we will reach the bottom of the fourth vertical line from the left.\n\n-----Constraints-----\n - H is an integer between 1 and 100 (inclusive).\n - W is an integer between 1 and 8 (inclusive).\n - K is an integer between 1 and W (inclusive).\n\n-----Input-----\nInput is given from Standard Input in the following format:\nH W K\n\n-----Output-----\nPrint the number of the amidakuji that satisfy the condition, modulo 1\\ 000\\ 000\\ 007.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\n1\n\nOnly the following one amidakuji satisfies the condition:",
        "solutions": "[\"def check(amidakuji,w):\\n    before=0\\n    flag=True\\n    for _ in range(w-1):\\n        if amidakuji&1==1 and before==1:\\n            flag=False\\n            break\\n        elif amidakuji&1==1:\\n            before=1\\n            amidakuji>>=1\\n        else:\\n            before=0\\n            amidakuji>>=1\\n    return flag\\n\\nfrom sys import stdin\\ndef main():\\n    #\\u5165\\u529b\\n    readline=stdin.readline\\n    mod=10**9+7\\n    h,w,k=map(int,readline().split())\\n\\n    dp=[[0]*w for _ in range(h+1)]\\n    dp[0][0]=1\\n    for i in range(1,h+1):\\n        for bit in range(1<<(w-1)):\\n            if check(bit,w)==False:\\n                continue\\n            else:\\n                for j in range(w):\\n                    if j==0:\\n                        if bit&1==1:\\n                            dp[i][j+1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    elif j==w-1:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                        else:\\n                            dp[i][j]+=dp[i-1][j]\\n                    else:\\n                        if bit&1==1:\\n                            dp[i][j-1]+=dp[i-1][j]\\n                            bit>>=1\\n                        else:\\n                            bit>>=1\\n                            if bit&1==1:\\n                                dp[i][j+1]+=dp[i-1][j]\\n                            else:\\n                                dp[i][j]+=dp[i-1][j]\\n\\n                for j in range(w):\\n                    dp[i][j]%=mod\\n\\n    print(dp[h][k-1])\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\nmod = 10**9+7\\n\\nif w == 1:\\n    print((1))\\n    return\\n\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(1, h+1):\\n    for p in range(2**(w-1)):\\n        L = [0]*(w-1)\\n        for q in range(w-1):\\n            if (p >> q) & 1:\\n                L[q] = 1\\n        flag = True\\n        for q in range(w-2):\\n            if L[q] == 1 and L[q+1] == 1:\\n                flag = False\\n        if not flag:\\n            continue\\n        for j in range(w):\\n            if j == 0:\\n                if L[j] == 1:\\n                    dp[i][j] += dp[i-1][1]\\n                else:\\n                    dp[i][j] += dp[i-1][0]\\n            elif j == w-1:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][w-2]\\n                else:\\n                    dp[i][j] += dp[i-1][w-1]\\n            else:\\n                if L[j-1] == 1:\\n                    dp[i][j] += dp[i-1][j-1]\\n                elif L[j] == 1:\\n                    dp[i][j] += dp[i-1][j+1]\\n                else:\\n                    dp[i][j] += dp[i-1][j]\\n            dp[i][j] %= mod\\n\\n#print(dp)\\nprint((dp[h][k-1]))\\n\", \"h,w,k_=list(map(int,input().split()))\\nmod=pow(10,9)+7\\nif w==1:\\n  print((1))\\n  return\\n# \\u9077\\u79fb\\u306e\\u4ed5\\u65b9\\nsen=[[0]*3 for _ in range(w)]\\nfor j in range(2**(w-1)):\\n  yoko=[0]*(w-1)\\n  for k in range(w-1):\\n    if (j>>k) & 1:\\n      yoko[k]=1\\n  flg=True\\n  for k in range(w-2):\\n    if yoko[k]==1 and yoko[k+1]==1:\\n      flg=False\\n      break\\n  if not flg:continue\\n  for k in range(w):\\n    if k==0:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      else:\\n        sen[k][2]+=1\\n    elif k<w-1:\\n      if yoko[k]==1:\\n        sen[k+1][0]+=1\\n      elif yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n    else:\\n      if yoko[k-1]==1:\\n        sen[k-1][1]+=1\\n      else:\\n        sen[k][2]+=1\\n\\nimport numpy as np \\ndp=np.zeros((h+1,w),int)\\ndp[0,0]=1\\nfor i in range(h):\\n  dp[i+1,0]=sen[0][2]*dp[i,0]+sen[0][1]*dp[i,1]\\n  for j in range(1,w-1):\\n    dp[i+1,j]=sen[j][2]*dp[i,j]+sen[j][1]*dp[i,j+1]+sen[j][0]*dp[i,j-1]\\n  dp[i+1,w-1]=sen[w-1][2]*dp[i,w-1]+sen[w-1][0]*dp[i,w-2]\\n  dp[i+1]%=mod\\nprint((dp[h,k_-1]))\\n#print(dp)\\n\", \"import sys\\ninput = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\n\\ndef main():\\n    H, W, K = map(int, input().split())\\n    dp = [[0] * W for _ in range(H + 1)]  # \\u6570\\u3048\\u4e0a\\u3052\\u554f\\u984c\\u306a\\u306e\\u30670\\u3067\\u521d\\u671f\\u5316\\u3059\\u308b\\n    dp[0][0] = 1  # \\u521d\\u671f\\u6761\\u4ef6\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):  # \\u5de6\\u30d3\\u30c3\\u30c8\\u30b7\\u30d5\\u30c8\\u30672 ** (W-1)\\u3068\\u540c\\u3058\\n            if '11' in bin(bit): continue  # \\u3042\\u308b\\u9802\\u70b9\\u304b\\u3089\\u5de6\\u53f3\\u65b9\\u5411\\u306b\\u68d2\\u304c\\u4f38\\u3073\\u3066\\u3044\\u308b\\u30b1\\u30fc\\u30b9\\u306f\\u30b9\\u30eb\\u30fc\\n            for w in range(W):\\n                # w\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8003\\u3048\\u308b\\n                if w and bit & (1 << (w - 1)):  # left\\u3092\\u898b\\u308b\\u306e\\u30671<<w-1\\u3068\\u78ba\\u8a8d, w=0\\u306e\\u6642\\u306fleft\\u306b\\u3044\\u3051\\u306a\\u3044\\u3053\\u3068\\u306b\\u6ce8\\u610f\\u3059\\u308b\\n                    dp[h + 1][w - 1] += dp[h][w] % MOD\\n                elif bit & (1 << w):  # right\\u3092\\u898b\\u308b\\u306e\\u30671<<w\\u78ba\\u8a8d\\n                    dp[h + 1][w + 1] += dp[h][w] % MOD\\n                else:  # down, \\u5de6\\u53f3\\u3069\\u3061\\u3089\\u306b\\u3082\\u3044\\u304b\\u306a\\u3044\\u6642\\n                    dp[h + 1][w] += dp[h][w] % MOD\\n    # for i in dp:\\n    #     print(*i)\\n    print(dp[H][K - 1] % MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n# \\n# \\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n\\n                def cnt_tmp(n, r, l, flg):\\n                    re = 0\\n                    if n >= W - 2:\\n                        if r <= n <= l:\\n                            return 1\\n                        if flg:\\n                            return 1\\n                        else:\\n                            return 2\\n                    if r <= n <= l:\\n                        return cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, False)\\n                    re += cnt_tmp(n + 1, r, l, True) if not flg else 0\\n                    return re\\n\\n                tmp = cnt_tmp(0, min(w, new_w) - 1, max(w, new_w), False)\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    # for dpi in dp:\\n    #     print(dpi)\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"import sys\\nmod = 7 + 10 ** 9\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    DP = [[0] * W for _ in range(H + 1)]\\n    pattern = [1, 2, 3, 5, 8, 13, 21]\\n    DP[0][0] = 1\\n    for h in range(H):\\n        for w in range(W):\\n            if w == 0:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w+1] * pattern[max(0, W - 3)]) % mod\\n            elif w == W - 1:\\n                DP[h+1][w] += (DP[h][w] * pattern[max(0, W - 2)]) % mod\\n                if W > 1: DP[h+1][w] += (DP[h][w-1] * pattern[max(0, W - 3)]) % mod\\n            else:\\n                DP[h+1][w] += (DP[h][w]  * pattern[max(0, w - 1)] * pattern[max(0, W - w - 2)]) % mod\\n                DP[h+1][w] += (DP[h][w+1] * pattern[max(0, w - 1)] * pattern[max(0, W - w - 3)]) % mod\\n                DP[h+1][w] += (DP[h][w-1] * pattern[max(0, w - 2)] * pattern[max(0, W - w - 2)]) % mod\\n            DP[h+1][w] %= mod\\n    print(DP[H][K - 1])\\n\\n    return 0\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# coding: utf-8\\n\\n# https://atcoder.jp/contests/abc113\\n# 12:01-12:49 give up -> kaisetsu\\n# 11:57-12:25 try again\\n\\n# from pprint import pprint as ppr\\n\\n\\n# def main():\\n#     H, W, K = map(int, input().split())\\n\\n#     v = \\\"v\\\"\\n#     h = \\\"h\\\"\\n#     dp = [[{\\\"v\\\": 0, \\\"h\\\": 0} for _ in range(W)] for _ in range(H)]\\n#     dp[0][0][v] = 1\\n\\n#     for i in range(H):\\n\\n#         for j in range(W):\\n#             # horizontal computation\\n#             if j == 0:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#             elif j == W-1:\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n#             else:\\n#                 dp[i][j+1][h] += dp[i][j][v]\\n#                 dp[i][j-1][h] += dp[i][j][v]\\n\\n#         if i < H-1:\\n#             for j in range(W):\\n#                 # vertical computation\\n#                 dp[i+1][j][v] += dp[i][j][v] + dp[i][j][h]\\n    \\n#     ppr(dp)\\n\\n#     return dp[H-1][K-1][v] + dp[H-1][K-1][h]\\n\\n\\ndef main():\\n    H, W, K = list(map(int, input().split()))\\n\\n    if W == 1:\\n        return 1\\n\\n    dp = [[0]*W for _ in range(H)]\\n    dp[0][0] = 1\\n\\n    bridges_list = []\\n\\n    def preset(i, bridges, n_cand):\\n        if i == n_cand:\\n            bridges_list.append(bridges)\\n            return None\\n\\n        if i-1 in bridges:\\n            preset(i+1, bridges, n_cand)\\n        else:\\n            bridges_1 = bridges[:]\\n            bridges_2 = bridges[:]\\n            bridges_1.append(i)\\n\\n            preset(i+1, bridges_1, n_cand)\\n            preset(i+1, bridges_2, n_cand)\\n\\n    preset(0, [], W-1)\\n\\n    n_bridges = [0] * (W-1)\\n    for bridges in bridges_list:\\n        for x in bridges:\\n            n_bridges[x] += 1\\n\\n    n_all_cands = len(bridges_list)\\n\\n    # ppr(bridges_list)\\n    # ppr(n_bridges)\\n\\n    dp[0][0] = (n_all_cands-n_bridges[0])\\n    dp[0][1] = n_bridges[0]\\n\\n    for i in range(H-1):\\n        for j in range(W):\\n            if j == 0:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j])\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n            elif j == W-1:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n            else:\\n                dp[i+1][j] += dp[i][j] * (n_all_cands-n_bridges[j-1]-n_bridges[j])\\n                dp[i+1][j-1] += dp[i][j] * n_bridges[j-1]\\n                dp[i+1][j+1] += dp[i][j] * n_bridges[j]\\n    # ppr(dp)\\n\\n    return dp[-1][K-1] % (10**9 + 7)\\n\\n\\nprint((main()))\\n\", \"import sys\\nimport math\\nfrom collections import deque\\n\\nsys.setrecursionlimit(1000000)\\nMOD = 10 ** 9 + 7\\ninput = lambda: sys.stdin.readline().strip()\\nNI = lambda: int(input())\\nNMI = lambda: map(int, input().split())\\nNLI = lambda: list(NMI())\\nSI = lambda: input()\\n\\n\\ndef make_grid(h, w, num): return [[int(num)] * w for _ in range(h)]\\n\\n\\ndef main():\\n    H, W, K = NMI()\\n    dp = make_grid(H+1, W, 0)\\n    move = make_grid(W, W, 0)\\n\\n    dp[0][0] = 1\\n\\n    for case in range(2**(W-1)):\\n        bad_case = False\\n        prev_bit = -1\\n        for i in range(W-1):\\n            now_bit = (case >> i) & 1\\n            if now_bit == prev_bit == 1:\\n                bad_case = True\\n            prev_bit = now_bit\\n        if bad_case:\\n            continue\\n\\n        for b in range(W):\\n\\n            if b == 0:\\n                if (case >> 0) & 1:\\n                    move[0][1] += 1\\n                else:\\n                    move[0][0] += 1\\n\\n            elif b == W - 1:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n            else:\\n                if (case >> b - 1) & 1:\\n                    move[b][b - 1] += 1\\n                elif (case >> b) & 1:\\n                    move[b][b + 1] += 1\\n                else:\\n                    move[b][b] += 1\\n\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            for i in range(W):\\n                dp[h][w] += dp[h-1][i] * move[i][w]\\n\\n    print(dp[H][K-1]%MOD)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nmod = 1000000007\\n\\nf = [0]*(W+1)\\nf[0] = 1\\nf[1] = 2\\nfor i in range(2,W+1):\\n    f[i] = f[i-1] + f[i-2]\\n\\ndp = [[0]*(W+2) for _ in range(H+1)]\\ndp[0][K] = 1\\nfor i in range(1,H+1):\\n    for j in range(1,W+1):\\n        dp[i][j] += (dp[i-1][j] * f[max(0,j-2)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j-1] * f[max(0,j-3)] * f[max(0,W-j-1)]\\n                     + dp[i-1][j+1] * f[max(0,j-2)] * f[max(0,W-j-2)] )\\n        dp[i][j] %= mod\\nprint(dp[-1][1])\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * (w + 1) for _ in range(h + 1)]\\nfor i in range(w + 1):\\n    dp[0][i] = 1 if i == 1 else 0\\n\\n\\ndef check_valid_bridge(bridge):\\n    for i in range(1, w-1):\\n        if bridge[i-1] and bridge[i]:\\n            return False\\n    return True\\n\\nfor t in range(1, h + 1):\\n    for i in range(1, w + 1):\\n        X, Y, Z = 0, 0, 0\\n        if w != 1:\\n            p = product([True, False], repeat=w-1)            \\n            for bridge in p:\\n                if check_valid_bridge(bridge):\\n                    if i > 1 and bridge[i-2]:\\n                        X += 1\\n                    elif i < w and bridge[i-1]:\\n                        Y += 1\\n                    elif (i == 1 and not bridge[i-1]) or (i == w and not bridge[i-2]) or (1 < i < w and not bridge[i-2] and not bridge[i-1]):\\n                        Z += 1\\n        else:\\n            Z = 1\\n        # print(f\\\"{X} {Y} {Z}\\\")\\n        pattern_1 = dp[t-1][i-1] * X if i > 1 else 0\\n        pattern_2 = dp[t-1][i+1] * Y if i < w else 0\\n        pattern_3 = dp[t-1][i] * Z\\n        dp[t][i] = (pattern_1 + pattern_2 + pattern_3) % mod\\n\\n# for line in dp:\\n#     print(*line)\\nprint((dp[h][k]))\\n\", \"# D - Number of Amidakuji\\n\\nH, W, K = list(map(int, input().split()))\\nMOD = 10**9 + 7\\n\\ncomb = []\\ndef dfs(n, p):\\n    if len(n) == (W-1):\\n        if len(n) == 0:\\n            n = [0]\\n        comb.append(tuple(n))\\n        return\\n    for i in (0, 1):\\n        if p == 1 and i == 1:\\n            continue\\n        n.append(i)\\n        dfs(n, i)\\n        n.pop()  \\n\\ndfs([], 0)\\n\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        # \\u307e\\u3063\\u3059\\u3050\\u964d\\u308a\\u3066\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        tmp = 0\\n        for i in comb:\\n            if w == 0 and i[w] == 0:\\n                tmp += 1\\n            elif w == (W-1) and i[w-1] == 0:\\n                tmp += 1\\n            elif i[w-1] == 0 and i[w] == 0:\\n                tmp += 1\\n        dp[h+1][w] += dp[h][w] * tmp\\n\\n        # \\u5de6\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != 0:\\n            tmp = 0\\n            for i in comb:\\n                if i[w-1] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w-1] * tmp        \\n\\n        # \\u53f3\\u304b\\u3089\\u304f\\u308b\\u30b1\\u30fc\\u30b9\\n        if w != (W-1):\\n            tmp = 0\\n            for i in comb:\\n                if i[w] == 1:\\n                    tmp += 1\\n            dp[h+1][w] += dp[h][w+1] * tmp  \\n\\nprint((dp[H][K-1]%MOD))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # \\u8fd1\\u63a5\\u3059\\u308b2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u308b\\u304b\\u5224\\u5b9a\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef resolve():\\n    H, W, K = list(map(int, input().split()))\\n    K -= 1\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for bit in range(1 << (W - 1)):\\n                flg = True\\n                for mask in range(W - 2):\\n                    if (bit & (1 << mask)) and (bit & (1 << (mask + 1))):\\n                        flg = False\\n                if flg:\\n                    next_j = j\\n                    if bit & (1 << j):\\n                        next_j = j + 1\\n                    elif j > 0 and (bit & (1 << (j - 1))):\\n                        next_j = j - 1\\n                    dp[i + 1][next_j] = (dp[i + 1][next_j] + dp[i][j]) % mod\\n    print((dp[H][K]))\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\n# h, w, k = 15, 8, 5\\n# h, w, k = 2, 3, 1\\n# h, w, k = 2, 3, 3\\n# h, w, k = 1, 3, 2\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\n# \\u6700\\u7d42\\u7684\\u306bDP[h][k-1]\\u3092\\u6c42\\u3081\\u308b\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j+1]*F[j]*F[w-2-j]\\n        c = DP[i][j]*F[j]*F[w-1-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"h,w,k = list(map(int,input().split()))\\nk -= 1\\ndp = [[0]*w for _ in range(h+1)]\\ndp[0][0] = 1\\nmod = 10**9 + 7\\ndef cnt(n):\\n    if n < 0:\\n        return 1\\n    if 0 <= n < 3:\\n        return n + 1\\n    return n + (n-1)*(n-2)//2 + (n-2)*(n-3)*(n-4)//6 + 1\\n\\nfor i in range(h):\\n    for j in range(w):\\n        if j > 0:\\n            dp[i+1][j-1] += dp[i][j] * cnt(j-2) * cnt(w-2-j)\\n            dp[i+1][j-1] %= mod\\n        if j < w-1:\\n            dp[i+1][j+1] += dp[i][j] * cnt(j-1) * cnt(w-3-j)\\n            dp[i+1][j+1] %= mod\\n        dp[i+1][j] += dp[i][j] * cnt(j-1) * cnt(w-2-j)\\n        dp[i+1][j] %= mod\\nprint((dp[h][k]))\\n\", \"def main():\\n    MOD = 10 ** 9 + 7\\n\\n    H, W, K = list(map(int, input().split()))\\n\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    # \\u6a2a\\u7dda[0,H)\\n    # H->\\u7d42\\u7740\\u70b9\\n\\n    for h in range(H):\\n        for bit in range(1 << (W - 1)):\\n            if '11' in bin(bit): continue\\n            toes = list(range(W))\\n            for j in range(W - 1):\\n                if (bit >> j) & 1:\\n                    toes[j], toes[j + 1] = toes[j + 1], toes[j]\\n            for frm, to in enumerate(toes):\\n                dp[h + 1][to] = (dp[h + 1][to] + dp[h][frm]) % MOD\\n    ans = dp[H][K - 1]\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n# import sys\\n# input = sys.stdin.readline\\n# \\n# sys.setrecursionlimit(10 ** 7)\\n# \\n# (int(x)-1 for x in input().split())\\n# rstrip()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in range(1 << w - 1):\\n        ok = True\\n        for j in range(w - 2):\\n            if bit >> j & 1 and bit >> j + 1 & 1:\\n                ok = False\\n        if ok:\\n            moved = [False] * w\\n            for j in range(w):\\n                if bit >> j & 1:\\n                    next[j + 1] += dp[j]\\n                    next[j] += dp[j + 1]\\n                    moved[j] = moved[j + 1] = True\\n                elif not moved[j]:\\n                    next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h,w,K = map(int,input().split())\\nif w == 1:\\n    print(1)\\n    return\\nK -= 1\\nmod = 1000000007\\ndp = [[0]*(w) for _ in range(h+1)]\\nfor i in range(w): dp[0][0] = 1\\n\\nfor i in range(h):\\n    for j in range(1<<(w-1)):\\n        invalid = False\\n        for k in range(w-1):\\n            if j>>k & 1 and j>>(k+1) & 1:\\n                invalid = True\\n                break\\n        if invalid: continue\\n        used = [False]*w\\n        for k in range(w):\\n            if used[k]: continue\\n            if j>>k & 1:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k+1])%mod\\n                dp[i+1][k+1] = (dp[i+1][k+1]+dp[i][k])%mod\\n                used[k] = True\\n                used[k+1] = True\\n            else:\\n                dp[i+1][k] = (dp[i+1][k]+dp[i][k])%mod\\n                used[k] = True\\n# for i in range(h+1): print(dp[i])\\nprint(dp[h][K])\", \"H,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\nif W==1:\\n  print(1)\\n  return\\n  \\nimport itertools\\nA=list(itertools.product([0,1], repeat=W-1))\\n\\nB=[]\\nfor i in A:\\n  x=0\\n  for j in range(W-2):\\n    if i[j]==1 and i[j+1]==1:\\n      x=1\\n  if x==0:\\n    B.append(i)\\n\\nD=[[0,0,0] for i in range(W)]\\nfor i in B:\\n  for j in range(W-1):\\n    if i[j]==1:\\n      D[j+1][0]+=1\\n      D[j][2]+=1\\n    if j==0 and i[j]==0:\\n      D[j][1]+=1\\n    if j==W-2 and i[j]==0:\\n      D[j+1][1]+=1\\n    if j<W-2:\\n      if i[j]==0 and i[j+1]==0:      \\n        D[j+1][1]+=1\\ndp=[[0]*W for i in range(H+1)]\\nmod=10**9+7\\ndp[0][0]=1\\nfor i in range(H):\\n  for j in range(W):\\n    if j==0:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j+1]*D[j][2]\\n    elif j==W-1:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]\\n    else:\\n      dp[i+1][j]=dp[i][j]*D[j][1]+dp[i][j-1]*D[j][0]+dp[i][j+1]*D[j][2]\\n    dp[i+1][j]%=mod\\nprint(dp[-1][K-1])\", \"import sys\\nimport math\\nimport collections\\nimport bisect\\nimport copy\\n\\n# import numpy as np\\n\\nsys.setrecursionlimit(10 ** 7)\\nINF = 10 ** 16\\nMOD = 10 ** 9 + 7\\n# MOD = 998244353\\n\\nni = lambda: int(sys.stdin.readline())\\nns = lambda: list(map(int, sys.stdin.readline().split()))\\nna = lambda: list(map(int, sys.stdin.readline().split()))\\nna1 = lambda: list([int(x) - 1 for x in sys.stdin.readline().split()])\\n\\n\\n# ===CODE===\\n\\n\\ndef main():\\n    h, w, k = ns()\\n    dp = [[0 for _ in range(w)] for __ in range(h + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2]\\n    for i in range(10):\\n        fibo.append(fibo[-1] + fibo[-2])\\n\\n    for y in range(1, h + 1):\\n        for x in range(w):\\n            if x == 0:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from R\\n                    dp[y][x] += dp[y - 1][x + 1] * fibo[max(0, w - 1 - 2)]\\n            elif x == w - 1:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[max(0, w - 1 - 1)]\\n                if w > 1:\\n                    # from L\\n                    dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, w - 1 - 2)]\\n            else:\\n                # from U\\n                dp[y][x] += dp[y - 1][x] * fibo[x - 1] * fibo[max(0, w - 1 - x - 1)]\\n                # from L\\n                dp[y][x] += dp[y - 1][x - 1] * fibo[max(0, x - 1 - 1)] * fibo[max(0, w - 1 - x - 1)]\\n                # from R\\n                dp[y][x] += dp[y - 1][x + 1] * fibo[x - 1] * fibo[max(0, w - 1 - x - 2)]\\n            dp[y][x] %= MOD\\n\\n    print((dp[h][k - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"#import sys\\n#import numpy as np\\nimport math\\n#from fractions import Fraction\\nimport itertools\\nfrom collections import deque\\nfrom collections import Counter\\n#import heapq\\n#from fractions  import gcd\\n#input=sys.stdin.readline\\n#import bisect\\nMod=10**9+7\\nh,w,K=list(map(int,input().split()))\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nn=2**(w-1)\\nfor i in range(h):\\n    for j in range(w):\\n        for m in range(n):\\n            ok=True\\n            for k in range(w-2):\\n                if (m&(1<<k)) and (m&(1<<(k+1))):\\n                    ok=False\\n            if not ok:\\n                continue\\n            nj=j\\n            if (m & (1<<j)):\\n                nj=j+1\\n            elif j>0 and (m&(1<<(j-1))):\\n                nj=j-1\\n            dp[i+1][nj]+=dp[i][j]\\n            dp[i+1][nj]%=Mod\\nprint((dp[h][K-1]))\\n\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*3))\\n    o(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\n\\ngoal = [0 for i in range(W)]\\ngoal[0] = 1\\noldGoal = [0 for i in range(W)]\\noldGoal[0] = 1\\nfib = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\nfor i in range(H):\\n    for j in range(W):\\n        if j == 0:\\n            a1 = oldGoal[j] * fib[W-1]\\n            a2 = oldGoal[j+1] * fib[W-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        elif j == W - 1:\\n            a1 = oldGoal[j-1] * fib[W-2]\\n            a2 = oldGoal[j] * fib[W-1]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            goal[j] = a1 + a2\\n        else:\\n            a1 = oldGoal[j-1] * fib[j-1] * fib[W-j-1]\\n            a2 = oldGoal[j] * fib[j] * fib[W-j-1]\\n            a3 = oldGoal[j+1] * fib[j] * fib[W-j-2]\\n            a1 = a1 % 1000000007\\n            a2 = a2 % 1000000007\\n            a3 = a3 % 1000000007\\n            goal[j] = a1 + a2 + a3\\n    for k in range(W):\\n        oldGoal[k] = goal[k]\\nprint(goal[K-1] % 1000000007)\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    bf = [0] * (w + 2)\\n    nx = [0] * (w + 2)\\n    bf[1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            nx[j] = c[j - 1] * c[w - j] * bf[j] + c[j - 1] * c[w - j - 1] * bf[j + 1] + c[j - 2] * c[w - j] * bf[j - 1]\\n\\n        bf = nx\\n        nx = [0] * (w + 2)\\n\\n    print((bf[k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for mask in range(1 << (W - 1)):\\n            ok = True\\n            for i in range(W - 2):\\n                if mask & (1 << i) and mask & (1 << (i + 1)):\\n                    ok = False\\n                    break\\n            if not ok:\\n                continue\\n            for i in range(W):\\n                if i > 0 and mask & (1 << (i - 1)):\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and mask & (1 << i):\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,k = map(int,input().split())\\nmod = 10**9+7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\ndp = [[0]*w for i in range(h+1)]\\ndp[0][0] = 1\\n\\nl = [[0]*3 for i in range(w)]\\n\\nfor i in range(2**(w-1)):\\n    if \\\"11\\\" in bin(i):\\n        continue\\n\\n    for j in range(w-1):\\n        if (i >> j) & 1:        \\n            l[j][2] += 1\\n            l[j+1][0] += 1\\n\\nfib = [1,1]\\nfor i in range(10):\\n    fib.append(fib[-1]+fib[-2])\\nfor i in l:\\n    i[1] = fib[w] - sum(i)\\n\\nfor i in range(h):\\n    for j in range(w):\\n        dp[i+1][j] += dp[i][j]*l[j][1]%mod\\n        if j != 0:\\n            dp[i+1][j] += dp[i][j-1]*l[j][0]%mod\\n        if j != w-1:\\n            dp[i+1][j] += dp[i][j+1]*l[j][2]%mod\\n        dp[i+1][j] %= mod\\n\\nprint(dp[-1][k-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\nMOD = 10 ** 9 + 7\\n\\ndef main():\\n    H, W, K = map(int, readline().rstrip().split())\\n    # K -= 1\\n    dp = [[0] * W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for i in range(H):\\n        for j in range(W):\\n            for k in range(2**(W-1)):\\n                b = bin(k)[2:].zfill(W-1)\\n                # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n                flg = True\\n                for l in range(W-2):\\n                    if b[l] == b[l+1] == '1':\\n                        flg = False\\n                        break\\n                if not flg:\\n                    continue\\n                if j >= 1 and b[j-1] == '1':\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j <= W-2 and b[j] == '1':\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u8fbf\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u8fbf\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n\\n    print(dp[H][K-1])\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    H, W, K = [int(x) for x in input().split()]\\n    MOD = 10 ** 9 + 7\\n\\n    if W == 1:\\n        print((1))\\n        return\\n\\n    cnt = [0] * (W - 1)\\n    cntz = [0] * W\\n    for i in range(2 ** (W - 1)):\\n        tmp = [0] * (W - 1)\\n        for j in range(W - 1):\\n            if i >> j & 1:\\n                tmp[j] += 1\\n        # 2\\u8fba\\u9023\\u7d9a\\u3067\\u5f15\\u304b\\u308c\\u3066\\u3044\\u306a\\u3044\\u304b\\u3092\\u30c1\\u30a7\\u30c3\\u30af\\n        for j, k in zip(tmp, tmp[1:]):\\n            if j == k == 1:\\n                break\\n        else:\\n            # \\u30c1\\u30a7\\u30c3\\u30af\\u3092\\u30d1\\u30b9\\u3057\\u305f\\u72b6\\u614b\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n            for j in range(W - 1):\\n                cnt[j] += tmp[j]\\n            for j in range(W):\\n                if j == 0:\\n                    if tmp[j] == 0:\\n                        cntz[j] += 1\\n                elif j == W - 1:\\n                    if tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n                else:\\n                    if tmp[j] == tmp[j - 1] == 0:\\n                        cntz[j] += 1\\n\\n    dp = [[0] * W for j in range(H + 1)]\\n    dp[0][0] = 1\\n\\n    for j in range(H):\\n        for i in range(W):\\n            if i == 0:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n            elif i == W - 1:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n            else:\\n                dp[j + 1][i] += dp[j][i] * cntz[i]\\n                dp[j + 1][i + 1] += dp[j][i] * cnt[i]\\n                dp[j + 1][i - 1] += dp[j][i] * cnt[i - 1]\\n                dp[j + 1][i] %= MOD\\n                dp[j + 1][i + 1] %= MOD\\n                dp[j + 1][i - 1] %= MOD\\n\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def fib(n):\\n    a = 1\\n    b = 0\\n    i = 0\\n    while i < n:\\n        i += 1\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n    mod = 10 ** 9 + 7\\n    \\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    c = [i for i in fib(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            x = c[j - 1] * c[w - j]\\n            y = c[j - 1] * c[w - j - 1]\\n            z = c[j - 2] * c[w - j]\\n\\n            dp[i][j] = (x * dp[i - 1][j] + y * dp[i - 1][j + 1] + z * dp[i - 1][j - 1]) % mod\\n\\n    print((dp[h][k]))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(1, h + 1):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j-1]\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j+1]\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i][j] += dp[i-1][j]\\n\\n\\t\\t\\tdp[i][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    #from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby\\n    #from itertools import product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil\\n    #from operator import itemgetter\\n\\n    #inf = 10**17\\n    mod = 10**9 + 7\\n\\n    h,w,k = map(int, input().split())\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    pattern = []\\n    if w > 2:\\n        for i in range(1<<(w-1)):\\n            for j in range(w-2):\\n                if ((i>>j) & 1) and ((i>>(j+1)) & 1):\\n                    break\\n            else:\\n                pattern.append(i)\\n    else:\\n        print(1)\\n        return\\n    \\n    for i in range(h):\\n        for j in range(w):\\n            for p in pattern:\\n                if j == 0:\\n                    if p & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                elif j == w-1:\\n                    if (p>>(w-2)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n                else:\\n                    if (p>>(j-1)) & 1:\\n                        dp[i+1][j-1] += dp[i][j] % mod\\n                    elif (p>>j) & 1:\\n                        dp[i+1][j+1] += dp[i][j] % mod\\n                    else:\\n                        dp[i+1][j] += dp[i][j] % mod\\n    print(dp[-1][k-1] % mod)\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10 ** 9 + 7\\nh, w, k = list(map(int, input().split()))\\ndp = [0] * w\\ndp[0] = 1\\n\\nfdp = [[0, 0] for _ in range(w)]\\nfdp[0][0] = 1\\nfor i in range(w - 1):\\n    fdp[i+1][0] += fdp[i][0]\\n    fdp[i+1][1] += fdp[i][0]\\n    fdp[i+1][0] += fdp[i][1]\\n\\ndef f(i):\\n    if i < 0:\\n        return 1\\n    return fdp[i][0] + fdp[i][1]\\n\\nfor _ in range(h):\\n    ndp = [0] * w\\n    for i in range(w):\\n        ndp[i] = (ndp[i] + dp[i] * f(i - 1) * f(w - i - 2))  % MOD\\n        if i + 1 < w:\\n            ndp[i+1] = (ndp[i+1] + dp[i] * f(i - 1) * f(w - i - 3)) % MOD\\n        if i - 1 >= 0:\\n            ndp[i-1] = (ndp[i-1] + dp[i] * f(i - 2) * f(w - i - 2)) % MOD\\n    dp = ndp\\nprint((dp[k-1]))\\n\", \"MOD=10**9+7\\nH,W,K=map(int,input().split())\\ndp=[[0]*W for i in range(H+1)]\\ndp[0][0]=1\\n\\nfor i in range(1,H+1):\\n    for k in range(W):\\n        l,c,r=0,0,0\\n        for bit in range(2**(W-1)):\\n            ok=True\\n            for t in range(W-2):\\n                if (bit>>t&1) and (bit>>(t+1)&1):\\n                    ok=False\\n                    break\\n            if not ok:\\n                continue\\n            if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-1 and not(bit>>k&1))or k==W-1):\\n                c+=1\\n            if (k>0):\\n                if ((k>1 and not(bit>>(k-2)&1)) or k==1) and ((k<W-1 and not(bit>>k&1))or k==W-1) and (bit>>(k-1)&1):\\n                    l+=1\\n            if (k<W-1):\\n                if ((k>0 and not(bit>>(k-1)&1)) or k==0) and ((k<W-2 and not (bit>>(k+1)&1))or k==W-2) and (bit>>k&1):\\n                    r+=1\\n        dp[i][k]=(dp[i][k]+dp[i-1][k]*c)%MOD\\n        if k>0:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k-1]*l)%MOD\\n        if k<W-1:\\n            dp[i][k]=(dp[i][k]+dp[i-1][k+1]*r)%MOD\\nprint(dp[H][K-1])\", \"MOD = 10 ** 9 + 7\\nh, w, k = [int(x) for x in input().split()]\\ndp = [[0] * w for _ in range(h+1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for b in range(1 << (w-1)):\\n        ok = True\\n        for s in range(w-2):\\n            if b >> s & 1 and b >> (s+1) & 1:\\n                ok = False\\n        if ok:            \\n            for j in range(w):\\n                if j > 0 and b >> (j-1) & 1:\\n                    dp[i+1][j-1] = (dp[i+1][j-1] + dp[i][j]) % MOD\\n                elif j+1 < w and b >> j & 1:\\n                    dp[i+1][j+1] = (dp[i+1][j+1] + dp[i][j]) % MOD\\n                else:\\n                    dp[i+1][j] = (dp[i+1][j] + dp[i][j]) % MOD\\n\\nprint(dp[h][k-1])\", \"'''3/18 AtCoder\\uff08\\u6f38\\u5316\\u5f0fdp\\uff09\\n\\u4e00\\u756a\\u5de6\\u306e\\u68d2\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3066\\u3001K\\u756a\\u76ee\\u306e\\u68d2\\u306b\\u5230\\u9054\\u3059\\u308b\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306f\\n\\u4f55\\u901a\\u308a\\u4f5c\\u308c\\u307e\\u3059\\u304b\\u3068\\u3044\\u3046\\u8da3\\u65e8\\u306e\\u554f\\u984c\\n\\u307e\\u305a\\u3001\\u3053\\u306e\\u554f\\u984c\\u3092\\u89e3\\u304f\\u3046\\u3048\\u3067\\u4e00\\u756a\\u91cd\\u8981\\u306a\\u306e\\u306f\\u3001\\n\\u300c\\u3042\\u308b\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092\\u6c42\\u3081\\u308b\\u6f38\\u5316\\u5f0f\\u304c\\u7acb\\u3066\\u3089\\u308c\\u308b\\u300d\\u3068\\u3044\\u3046\\u3053\\u3068\\n\\u9ad8\\u3055h\\u3001\\u68d2j\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u306e\\u7dcf\\u6570\\u3092dp[h][j]\\u3068\\u3059\\u308c\\u3070\\u3001\\n\\u9ad8\\u3055h-1\\u304b\\u3089\\u3053\\u306e\\u4f4d\\u7f6e\\u306b\\u81f3\\u308b\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\u306e\\u306f\\u3001\\n\\u68d2j-1,j,j+1\\u306e\\u3044\\u305a\\u308c\\u304b\\u3057\\u304b\\u306a\\u3044\\n\\u3055\\u3089\\u306b\\u3001\\u305d\\u3053\\u306b\\u81f3\\u308b\\u7d4c\\u8def\\u6570\\u3068\\u3044\\u3046\\u306e\\u306f\\u7d50\\u5c40\\n\\u300c\\u307b\\u304b\\u306e\\u68d2\\u306b\\u3069\\u3093\\u306a\\u98a8\\u306b\\u67b6\\u3051\\u6a4b\\uff08\\u6a2a\\u68d2\\uff09\\u304c\\u304b\\u304b\\u3063\\u3066\\u3044\\u308b\\u304b\\u300d\\u306e\\u5834\\u5408\\u306e\\u6570\\u306a\\u306e\\u3067\\u3001\\n\\u305d\\u308c\\u3092dp[h-1][j-1],dp[h-1][j],dp[h-1][j+1]\\u306b\\u304b\\u3051\\u3066\\u3044\\u304f\\u5fc5\\u8981\\u304c\\u3042\\u308b\\n\\u4f8b\\u3048\\u3070\\u3001dp[h-1][j]\\u3092\\u898b\\u3066\\u307f\\u308b\\u3000\\u3053\\u308c\\u306f\\u3001\\u540c\\u3058\\u68d2\\u304b\\u3089\\u4e0b\\u3063\\u3066\\u304f\\u308b\\u3053\\u3068\\u3092\\n\\u610f\\u5473\\u3057\\u3066\\u3044\\u308b\\u304c\\u3001\\u63db\\u8a00\\u3059\\u308c\\u3070\\u300c\\u9ad8\\u3055i-1\\u3068i\\u306b\\u306f\\u3001\\u68d2j\\u304b\\u3089\\u4f38\\u3073\\u308b\\u6a2a\\u68d2\\u306f\\u306a\\u3044\\u300d\\n\\u3068\\u3044\\u3046\\u3053\\u3068\\u3067\\u3042\\u308b\\n\\u3064\\u307e\\u308a\\u3001\\u3053\\u306e\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u3068\\u3044\\u3046\\u306e\\u306f\\n\\u300c\\u68d21~j-1\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u3068\\u300c\\u68d2j+1~\\u68d2W\\u307e\\u3067\\u306e\\u67b6\\u304b\\u308a\\u65b9\\u300d\\u306e\\n\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u3057\\u304b\\u306a\\u3044\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\n\\u3042\\u308b\\u9ad8\\u3055\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u68d2\\u306e\\u304b\\u304b\\u308a\\u65b9\\u3082\\u6f38\\u5316\\u5f0f\\u3067\\u6c42\\u3081\\u3089\\u308c\\u308b\\u3000\\n\\u9ad8\\u3055h\\u306b\\u304a\\u3051\\u308b(\\u6a2a\\u4e00\\u5217\\u306b\\u304b\\u3051\\u6a4b\\u304c\\u4e26\\u3093\\u3067\\u3044\\u308b\\u72b6\\u6cc1\\u3092\\u8003\\u3048\\u308b\\uff09\\u3001\\nn\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570\\u306e\\u7dcf\\u6570\\u3092f(n)\\u3068\\u7f6e\\u304f\\u3068\\u3001\\nf(n) = f(n-1)+f(n-2)\\u3068\\u66f8\\u304f\\u3053\\u3068\\u304c\\u3067\\u304d\\u308b\\n\\u3053\\u308c\\u306f\\u3001f(n)\\u304c\\n\\u2460n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u306a\\u3044\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-2)\\u3068\\u540c\\u3058\\n\\u2461n\\u672c\\u76ee\\u3068n-1\\u672c\\u76ee\\u306e\\u68d2\\u306e\\u9593\\u306b\\u6a4b\\u304c\\u67b6\\u304b\\u3063\\u3066\\u3044\\u308b\\u2192\\u5834\\u5408\\u306e\\u6570\\u306ff(n-1)\\u3068\\u540c\\u3058\\n\\u306e\\u4e8c\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5408\\u8a08\\u3060\\u304b\\u3089\\u3067\\u3042\\u308b\\n\\u3060\\u304b\\u3089\\u3001dp[h-1][j]\\u306b\\u639b\\u3051\\u308b\\u6570\\u306f\\u3044\\u304f\\u3064\\u304b\\u3068\\u3044\\u3046\\u3053\\u3068\\u3092\\u8003\\u3048\\u305f\\u3089\\u3001\\nj-1\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(j-1)\\u3068\\u3001\\nW-j\\u672c\\u306e\\u68d2\\u306e\\u9593\\u306b\\u304b\\u304b\\u308b\\u6a4b\\u306e\\u5834\\u5408\\u306e\\u6570f(W-j)\\u672c\\u3068\\u3044\\u3046\\u3053\\u3068\\u306b\\u306a\\u308b\\u3000\\n\\u3053\\u308c\\u3068\\u540c\\u69d8\\u306b\\u3001\\u6b8b\\u308a\\u4e8c\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3082\\u3044\\u304f\\u3064\\u304b\\u3051\\u308c\\u3070\\u3088\\u3044\\u304b\\u3092\\u8003\\u3048\\u3066\\u3001\\ndp[h][j]]\\u306b\\u5bfe\\u3059\\u308b\\u6f38\\u5316\\u5f0f\\u3092\\u7acb\\u3066\\u308c\\u3070\\u3088\\u3044\\n'''\\nH,W,K = map(int,input().split())\\ndp = []\\nfor i in range(H+1): #\\u9ad8\\u30550\\u306e\\u5206\\u3092\\u4f59\\u5206\\u306b\\u6301\\u3063\\u3066\\u304a\\u304f\\n  L = [0]*W\\n  dp.append(L)\\nfb = [1,1] #\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\uff08f(n)=f(n-1)+f(n-2)\\uff09\\nfor i in range(W-2):\\n  fb.append(fb[i]+fb[i+1])\\ndp[0][0] = 1 #\\u5de6\\u7aef\\u306e\\u68d2\\u306e\\u9ad8\\u30550\\u306f\\u521d\\u671f\\u4f4d\\u7f6e\\u306a\\u306e\\u30671\\u306b\\nif W != 1: #\\u68d2\\u304c\\u4e00\\u672c\\u4ee5\\u4e0a\\u3042\\u308b\\u3068\\u304d\\u306f\\n  for i in range(1,H+1):\\n    for j in range(W): #\\u68d2\\u304c\\u5de6\\u7aef\\u3001\\u53f3\\u7aef\\u3001\\u305d\\u308c\\u4ee5\\u5916\\u3067\\u5834\\u5408\\u5206\\u3051\\n      if 1 <= j <= W-2:\\n        dp[i][j] = dp[i-1][j-1]*fb[j-1]*fb[W-j-1]+dp[i-1][j]*fb[j]*fb[W-j-1]+dp[i-1][j+1]*fb[j]*fb[W-j-2]\\n      elif j == 0:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j+1]*fb[W-2]\\n      else:\\n        dp[i][j] = dp[i-1][j]*fb[W-1]+dp[i-1][j-1]*fb[W-2]\\nelse:\\n  dp[H][0] = 1\\nprint(dp[H][K-1]%(10**9+7)) #\\u9ad8\\u3055H\\uff08\\u4e00\\u756a\\u4e0b\\uff09\\u3001K-1\\u756a\\u76ee\\u306e\\u68d2\\u3092\\u8abf\\u3079\\u308b\", \"H, W, K = list(map(int, input().split()))\\nh_lines = (1, 1, 2, 3, 5, 8, 13, 21, 34)\\nMOD = 10 ** 9 + 7\\n\\ndp = [[0] * 8 for _ in range(H + 1)]\\ndp[0][0] = 1\\nfor h in range(H):\\n    for w in range(W):\\n        dp[h + 1][w] = dp[h][w] * h_lines[w] * h_lines[W - w - 1]\\n        if w > 0:\\n            dp[h + 1][w] += dp[h][w - 1] * h_lines[w - 1] * h_lines[W - w - 1]\\n        if w < W - 1:\\n            dp[h + 1][w] += dp[h][w + 1] * h_lines[w] * h_lines[W - w - 2]\\n        dp[h + 1][w] %= MOD\\nprint((dp[H][K - 1]))\\n\", \"def is_valid(k):\\n    n = k.bit_length()\\n\\n    for i in range(n - 1):\\n        if (k >> i) & 1 and (k >> i + 1) & 1:\\n            return False\\n\\n    return True\\n\\np = 10**9+7\\n\\nH, W, K = map(int, input().split())\\n\\ndp = [[0]*W for _ in range(H + 1)]\\n# dp[i][j] : i\\u6bb5\\u76ee\\u307e\\u3067\\u307f\\u305f\\u3068\\u304dj\\u306b\\u3044\\u304f\\u3088\\u3046\\u306a\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u672c\\u6570\\n\\ndp[0][0] = 1\\n\\nfor i in range(H):\\n    for j in range(1 << (W - 1)):\\n        if not is_valid(j): continue\\n        for k in range(W):\\n            if k < W - 1 and (j >> k) & 1:\\n                dp[i + 1][k + 1] += dp[i][k]\\n                dp[i + 1][k + 1] %= p\\n            elif k > 0 and (j >> (k - 1)) & 1:\\n                dp[i + 1][k - 1] += dp[i][k]\\n                dp[i + 1][k - 1] %= p\\n            else:\\n                dp[i + 1][k] += dp[i][k]\\n                dp[i + 1][k] %= p\\n\\nprint(dp[H][K - 1] % p)\", \"# \\u89e3\\u8aac\\u3068\\u4e0b\\u8a18\\u3092\\u53c2\\u8003\\u306b\\u4f5c\\u6210\\n# https://atcoder.jp/contests/abc113/submissions/15821617\\n# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(H, W, K):\\n    mod = 10 ** 9 + 7\\n    dp = [[0] * W for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n    for h in range(H):\\n        for w in range(W):\\n            if dp[h][w] == 0:\\n                continue\\n            for i in range(3):\\n                new_w = w - 1 + i\\n                if not 0 <= new_w < W:\\n                    continue\\n                l, r = min(w, new_w), max(w, new_w)\\n                tmp = fibo[max(l - 1, 0)] * fibo[max(W - 1 - (r + 1), 0)]\\n                dp[h + 1][new_w] += dp[h][w] * tmp\\n                dp[h + 1][new_w] %= mod\\n    print((dp[-1][K - 1]))\\n\\n\\ndef __starting_point():\\n    H, W, K = list(map(int, input().split()))\\n    solve(H, W, K)\\n\\n    # # test\\n    # from random import randint\\n    # from func import random_str\\n    # solve()\\n\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] O(100*8)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082O(7*7*7))\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"MOD = 10**9+7\\nH, W, K = list(map(int, input().split()))\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for k in range(1<<(W-1)):\\n            # 2\\u3064\\u306e\\u6a2a\\u7dda\\u304c\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u304b\\u8abf\\u3079\\u308b\\n            ok = True\\n            for l in range(W-2):\\n                if (k>>l)&1 and (k>>(l+1))&1:\\n                    ok = False\\n            if ok:\\n                if j>=1 and (k>>(j-1))&1:\\n                    # \\u5de6\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j-1] += dp[i][j]\\n                    dp[i+1][j-1] %= MOD\\n                elif j<W-1 and (k>>j)&1:\\n                    # \\u53f3\\u65b9\\u5411\\u306b\\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u308b\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                else:\\n                    # \\u6a2a\\u7dda\\u3092\\u305f\\u3069\\u3089\\u306a\\u3044\\u30b1\\u30fc\\u30b9\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\nprint((dp[H][K-1]))\\n\", \"h, w, k = list(map(int, input().split()))\\ndp = [0] * w\\nmod = 10 ** 9 + 7\\n\\ncomb = []\\nfor bit in range(1 << w - 1):\\n    ok = True\\n    for j in range(w - 2):\\n        if bit >> j & 1 and bit >> j + 1 & 1:\\n            ok = False\\n    if ok:\\n        comb.append(bit)\\n\\ndp[0] = 1\\nfor i in range(h):\\n    next = [0] * w\\n    for bit in comb:\\n        moved = [False] * w\\n        for j in range(w):\\n            if bit >> j & 1:\\n                next[j + 1] += dp[j]\\n                next[j] += dp[j + 1]\\n                moved[j] = moved[j + 1] = True\\n            elif not moved[j]:\\n                next[j] += dp[j]\\n    dp = next\\nprint((dp[k - 1] % mod))\\n\", \"h, w, k = map(int, input().split())\\np = 10**9+7\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\nF = [1, 2, 3, 5, 8, 13, 21][:w]+[1]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-2]*F[w-2-j]\\n        b = DP[i][j]*F[j-1]*F[w-2-j]\\n        c = DP[i][j+1]*F[j-1]*F[w-3-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint(DP[h][k-1])\", \"H,W,K = map(int,input().split())\\ndp = [[0]*W for i in range(H+1)]\\ndp[0][0] = 1\\nMOD = 10**9+7\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\nprint(dp[-1][K-1] % MOD)\", \"H, W, K = map(int, input().split())\\nmod = 10**9 + 7\\n\\ndp = [0]*W\\ndp[0] = 1\\n\\nOK = [0, 1, 1, 2, 3, 5, 8, 13]\\nNG = [0, 1, 2, 3, 5, 8, 13, 21]\\n\\nif W == 1:\\n  print(dp[K-1])\\nelse:\\n  for _ in range(H):\\n    temp = dp[:]\\n    for i in range(W):\\n      if i == 0:\\n        dp[i] = temp[i] * NG[W-1-i] + temp[i+1] * OK[W-1-i]\\n      elif i == W-1:\\n        dp[i] = temp[i-1] * OK[i] + temp[i] * NG[i]\\n      else:  \\n        dp[i] = temp[i-1] * OK[i] * NG[W-1-i] + temp[i] * NG[i] * NG[W-1-i] + temp[i+1] * NG[i] * OK[W-1-i]\\n      dp[i] %= mod\\n  print(dp[K-1])\", \"fib = [1, 1, 2, 3, 5, 8, 13, 21]\\nmod = 1000000007\\nh, w, k = list(map(int, input().split()))\\nk -= 1\\np = [0] * w\\np[0] = 1\\nfor i in range(h):\\n  q = [0] * w\\n  for j in range(w):\\n    if j > 0:\\n      q[j] += p[j - 1] * fib[j - 1] * fib[w - 1 - j]\\n    if j < w - 1:\\n      q[j] += p[j + 1] * fib[j] * fib[w - j - 2]\\n    if 0 < j < w - 1:\\n      q[j] += p[j] * fib[j] * fib[w - j - 1]\\n    elif j > 0:\\n      q[j] += p[j] * fib[j]\\n    elif j < w - 1:\\n      q[j] += p[j] * fib[w - j - 1]\\n    else:\\n      q[j] += p[j]\\n    q[j] %= mod\\n  p = q\\nprint((p[k]))\\n\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\ndp=[0]*w\\ndp[0]=1\\nfib=[1,1,2,3,5,8,13,21,34,55,89]\\nfor _ in range(h):\\n  t=[0]*w\\n  for i in range(w):\\n    if i>0:\\n      t[i]+=dp[i-1]*fib[i-1]*fib[w-i-1]\\n    t[i]+=dp[i]*fib[i]*fib[w-i-1]\\n    if i<w-1:\\n      t[i]+=dp[i+1]*fib[i]*fib[w-i-2]\\n    t[i]%=mod\\n  dp=t\\nprint(dp[k-1])\", \"h,w,k=map(int,input().split())\\ndp=[0]*(w)\\nl=[1,1,2,3,5,8,13,21,34]#n\\u672c\\u306e\\u7e26\\u7dda\\u306b\\u9ad8\\u30551\\u306evalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u3001\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\u306b\\u306a\\u308b\\n#a_n:=n\\u672c\\u306e\\u7e26\\u7dda\\u306bvalid\\u306a\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\u901a\\u308a\\u306e\\u7dcf\\u6570\\u3001\\u3068\\u3059\\u308c\\u3070\\n#n+1\\u672c\\u306e\\u6642\\u306f1.1\\u30682\\u672c\\u76ee\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\uff082\\u30683\\u306e\\u9593\\u306b\\u5f15\\u3051\\u306a\\u3044\\u306e\\u3067a_n-1\\u901a\\u308a\\uff09\\n#          2.                \\u5f15\\u304b\\u306a\\u3044\\uff08a_n\\u901a\\u308a\\uff09\\n#\\u3088\\u3063\\u3066\\u6f38\\u5316\\u5f0fa_n+1=a_n+a_n-1\\u304c\\u6210\\u7acb\\u3002\\ndp[0]=1\\nmod=10**9+7\\nr=[0]*w\\nfor i in range(h):\\n    for i in range(w):\\n        r[i]=dp[i]*l[i]*l[w-1-i]#\\u5de6\\u53f3\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u304b\\u306a\\u3044\\n        if i>=1:\\n            r[i]+=dp[i-1]*l[i-1]*l[w-1-i]#\\u5de6\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        if i<=w-2:\\n            r[i]+=dp[i+1]*l[i]*l[w-2-i]#\\u53f3\\u306b\\u306e\\u307f\\u6a2a\\u68d2\\u3092\\u5f15\\u304f\\n        r[i]%=mod\\n    dp,r=r,dp\\n\\nprint(dp[k-1])\", \"def fib():\\n    a = 1\\n    b = 0\\n    while 1:\\n        c = a + b\\n        yield c\\n        a = b\\n        b = c\\n\\n\\ndef main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n    f = fib()\\n    c = [f.__next__() for _ in range(w + 1)]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from itertools import product\\n\\nh, w, k = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\npats = [pat for pat in product([1, 0], repeat=w-1)]\\n\\nfor i in range(h):\\n\\tfor j in range(w):\\n\\t\\tfor pat in pats:\\n\\t\\t\\tvalid = True\\n\\t\\t\\tfor e1, e2 in zip(pat, pat[1:]):\\n\\t\\t\\t\\tif e1 and e2:\\n\\t\\t\\t\\t\\tvalid = False\\n\\n\\t\\t\\tif not valid:\\n\\t\\t\\t\\tcontinue\\n\\n\\t\\t\\tif j - 1 >= 0 and pat[j-1]:\\n\\t\\t\\t\\tdp[i+1][j-1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j-1] %= mod\\n\\n\\t\\t\\telif j <= w - 2 and pat[j]:\\n\\t\\t\\t\\tdp[i+1][j+1] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j+1] %= mod\\n\\n\\t\\t\\telse:\\n\\t\\t\\t\\tdp[i+1][j] += dp[i][j]\\n\\t\\t\\t\\tdp[i+1][j] %= mod\\n\\nans = dp[h][k-1]\\nprint(ans)\\n#print(*dp, sep=\\\"\\\\n\\\")\\n\", \"h,w,k = [int(i) for i in input().split()]\\n\\nmod = 10**9 + 7\\n   \\n\\ndp = [[0 for _ in range(w)] for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(h):\\n    for bit in range(1<<(w-1)):\\n        if '11' in bin(bit) : continue\\n        for j in range(w):\\n            if j > 0 and bit & (1 << (j-1)):\\n                dp[i+1][j-1] += dp[i][j] % mod \\n            elif bit & (1 << j):\\n                dp[i+1][j+1] += dp[i][j] % mod\\n            else:\\n                dp[i+1][j] += dp[i][j] % mod\\n                \\nprint(dp[h][k-1]%mod)\", \"H, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\n\\ndef check(bit):\\n  pre_b = '0'\\n  for b in bit:\\n    if b == '1' and pre_b == '1':\\n      return False\\n    pre_b = b\\n  return True\\n\\n# dp[h][w]:\\u4e0a\\u304b\\u3089h\\u6bb5\\u76ee\\u3067\\u306e\\u64cd\\u4f5c\\u3092\\u7d42\\u4e86\\u3057\\u305f\\u6642\\u70b9\\u3067w\\u756a\\u76ee\\u306e\\u3042\\u307f\\u3060\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0]*(W+2) for h in range(H+1)]\\ndp[0][1] = 1\\n\\n# \\u3042\\u308b\\u6bb5\\u306b\\u304a\\u3051\\u308b\\u6a2a\\u7dda\\u306e\\u914d\\u7f6e\\u3092\\u5168\\u63a2\\u7d22\\u3057\\u3066w-1 <-> w\\u306b\\u6a2a\\u7dda\\u304c\\u3042\\u308b\\u6570\\nlines = [0] * (W+1)\\nc = 0\\nfor i in range(2**(W-1)):\\n  if not check(bin(i)[2:]):\\n    continue\\n  c += 1\\n  for w in range(W-1):\\n    lines[w+1] += (i & 1<<w) > 0\\n\\n\\n# \\u914d\\u308bDP\\nfor h in range(H):\\n  for w in range(1, W+1):\\n    x, z = lines[w-1], lines[w]\\n    y = c - x - z\\n    dp[h+1][w-1] = (dp[h+1][w-1] + dp[h][w]*x % MOD) % MOD\\n    dp[h+1][w] = (dp[h+1][w] + dp[h][w]*y % MOD) % MOD\\n    dp[h+1][w+1] = (dp[h+1][w+1] + dp[h][w]*z % MOD) % MOD\\n\\nprint(dp[-1][K])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nmod = 10 ** 9 + 7\\nif w == 1:\\n    print(1)\\n    return\\nrow = [0 for i in range(w + 1)]\\nrow[0] = 1\\nrow[1] = 1\\nfor i in range(w - 1):\\n    row[i + 2] = row[i + 1] + row[i]\\n\\ndp = [[0 for i in range(w)] for j in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(h):\\n    for j in range(w):\\n        if j == 0:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j + 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        elif j == w - 1:\\n            dp[i + 1][j] = dp[i][j] * row[w - 1] + dp[i][j - 1] * row[w - 2]\\n            dp[i + 1][j] %= mod\\n        else:\\n            dp[i + 1][j] = dp[i][j - 1] * row[j - 1] * row[w - j - 1] + dp[i][j] * row[j] * row[w - j - 1] + dp[i][j + 1] * row[j] * row[w - j - 2]\\n            dp[i + 1][j] %= mod\\nprint(dp[h][k - 1])\", \"import sys\\nh, w, k = map(int, input().split())\\n\\nmod = 10 ** 9 + 7\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nn_join = [0 for i in range(w-1)]\\nn_unjoin = [0 for i in range(w-1)]\\ncnt = 0\\n\\nfor i in range(2 ** (w-1)):\\n    p = 0\\n    f = 1\\n    tmp_join = []\\n    tmp_unjoin = []\\n    for j in range(w-1):\\n        c = i & (1 << j)\\n        if c:\\n            tmp_join.append(j)\\n        if not (c or p):\\n            tmp_unjoin.append(j)\\n        if p and c:\\n            f = 0\\n            break\\n        p = c\\n    if f:\\n        cnt += 1\\n        for j in tmp_join:\\n            n_join[j] += 1\\n        for j in tmp_unjoin:\\n            n_unjoin[j] += 1\\n\\nn_unjoin.append(cnt - n_join[-1])\\n\\ndp = [[0 for j in range(w)] for i in range(h)]\\ndp[0][0] = n_unjoin[0]\\ndp[0][1] = n_join[0]\\n\\nfor i in range(1,h):\\n    for j in range(w):\\n        dp[i][j] += dp[i-1][j] * n_unjoin[j] % mod\\n        dp[i][j] %= mod\\n        if j > 0:\\n            dp[i][j] += dp[i-1][j-1] * n_join[j-1] % mod\\n            dp[i][j] %= mod\\n        if j < w - 1:\\n            dp[i][j] += dp[i-1][j+1] * n_join[j] % mod\\n            dp[i][j] %= mod\\n        \\nprint(dp[h-1][k-1])\", \"#float\\u578b\\u3092\\u8a31\\u3059\\u306a\\n#numpy\\u306fpython\\u3067\\nimport sys\\ninput = sys.stdin.readline\\nsys.setrecursionlimit(10**7)\\nfrom collections import Counter, deque\\nfrom collections import defaultdict\\nfrom itertools import combinations, permutations, accumulate, groupby, product\\nfrom bisect import bisect_left,bisect_right\\nfrom heapq import heapify, heappop, heappush\\nfrom math import floor, ceil,pi,factorial\\nfrom operator import itemgetter\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\ndef SI(): return input().rstrip()\\ndef printns(x): print(('\\\\n'.join(x)))\\ndef printni(x): print(('\\\\n'.join(list(map(str,x)))))\\ninf = 10**17\\nmod = 10**9 + 7\\n\\nh,w,k=MI()\\ndp=[[0]*w for i in range(h+1)]\\ndp[0][0]=1\\na=0\\nb=1\\nweight=[]\\nfor i in range(100):\\n    weight.append(a+b)\\n    a,b=b,a+b\\n#print(weight)    \\nfor i in range(h):\\n    for j in range(w):\\n        if 0<=j+1<w:\\n            left=max(j-1,0)\\n            right=max(w-j-3,0)\\n            dp[i+1][j+1]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j<w:\\n            left=max(j-1,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j]+=(dp[i][j]*weight[left]*weight[right])%mod\\n        if 0<=j-1<w:\\n            left=max(j-2,0)\\n            right=max(w-j-2,0)\\n            dp[i+1][j-1]+=(dp[i][j]*weight[left]*weight[right])%mod\\nprint((dp[-1][k-1]%mod))\\n\\n\\n\", \"H,W,K = map(int,input().split())\\nmod = 10**9+7\\ndp = W*[0]\\ndp[0] = 1\\nfib = [1,1,2,3,5,8,13,21,34,55,89]\\n\\nfor h in range(H):\\n  t = W*[0]\\n  for w in range(W):\\n    if 0<w:\\n      t[w]+=dp[w-1]*fib[w-1]*fib[W-w-1]\\n    t[w]+=dp[w]*fib[w]*fib[W-w-1]\\n    \\n    if w<W-1:\\n      t[w]+=dp[w+1]*fib[w]*fib[W-w-2]\\n    t[w]%=mod\\n  dp = t\\n\\nprint(dp[K-1])\", \"\\nfrom itertools import product\\n\\n\\ndef patterns(w):\\n    res = []\\n    for pt in product([0, 1], repeat=w):\\n        valid = True\\n        for i in range(w - 1):\\n            if pt[i] == pt[i + 1] == 1:\\n                valid = False\\n                break\\n        if valid:\\n            res.append(pt)\\n    return res\\n\\n\\ndef submit():\\n    h, w, k = [int(e) for e in input().split()]\\n    dp = [[0 for _ in range(w)] for _ in range(h + 1)]\\n    dp[0][0] = 1\\n    modp = 10 ** 9 + 7\\n\\n    pts = patterns(w - 1)\\n\\n    for i in range(1, h + 1):\\n        for j in range(w):\\n            for pt in pts:\\n                if j > 0 and pt[j - 1] == 1: # j -> j - 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j - 1] += dp[i - 1][j]\\n                    dp[i][j - 1] %= modp\\n                elif j < w - 1 and pt[j] == 1:  # j -> j + 1\\u306b\\u9077\\u79fb\\u3059\\u308b\\n                    dp[i][j + 1] += dp[i - 1][j]\\n                    dp[i][j + 1] %= modp\\n                else:\\n                    dp[i][j] += dp[i - 1][j]\\n                    dp[i][j] %= modp\\n\\n\\n    print(dp[h][k - 1])\\n\\n\\nsubmit()\", \"from itertools import product\\nH, W, K = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nif W == 1:\\n    print((1))\\n    return\\n\\nup = [0] * W\\nright = [0] * W\\nleft = [0] * W\\n\\nfor b in range(1 << (W - 1)):\\n    bridge = bin(b)[2:].zfill(W - 1)\\n    if \\\"11\\\" in bridge:\\n        continue\\n\\n    # \\u5de6\\u306e\\u68d2\\n    if bridge[0] == \\\"0\\\":\\n        up[0] += 1\\n    else:\\n        right[0] += 1\\n\\n    # \\u53f3\\u306e\\u68d2\\n    if bridge[-1] == \\\"0\\\":\\n        up[W - 1] += 1\\n    else:\\n        left[W - 1] += 1\\n\\n    # \\u771f\\u3093\\u4e2d\\n    for i in range(1, W - 1):\\n        if bridge[i - 1] == \\\"0\\\" and bridge[i] == \\\"1\\\":\\n            right[i] += 1\\n        elif bridge[i - 1] == \\\"1\\\" and bridge[i] == \\\"0\\\":\\n            left[i] += 1\\n        else:\\n            up[i] += 1\\n\\nup = [0] + up + [0]\\nright = [0] + right + [0]\\nleft = [0] + left + [0]\\n\\ndp = [0] * (W + 2)\\ndp[K] = 1\\nfor _ in range(H):\\n    newDP = [0] * (W + 2)\\n    for i in range(1, W + 1):\\n        newDP[i] += dp[i - 1] * right[i - 1]\\n        newDP[i] += dp[i] * up[i]\\n        newDP[i] += dp[i + 1] * left[i + 1]\\n        newDP[i] %= mod\\n    dp = newDP\\n\\nans = dp[1]\\nprint(ans)\\n\", \"w = [1, 2]\\nfor i in range(6):\\n    w.append(w[-2] + w[-1])\\nH, W, K = map(int,input().split())\\nmod = 10 ** 9 + 7\\ndp = [[0 for i in range(W)] for j in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        if j >= 1:\\n            k = 1\\n            if j - 2 >= 0:\\n                k *= w[j - 2]\\n            if W - j - 2 >= 0:\\n                k *= w[W - j - 2]\\n            dp[i+1][j-1] += k * dp[i][j]\\n            dp[i+1][j-1] %= mod\\n        k = 1\\n        if j - 1 >= 0:\\n            k *= w[j - 1]\\n        if  W - j - 2 >= 0:\\n            k *= w[W - j - 2]\\n        dp[i+1][j] += k * dp[i][j]\\n        dp[i+1][j] %= mod\\n        if j <= W - 2:\\n            k = 1\\n            if j - 1 >= 0:\\n                k *= w[j - 1]\\n            if W - j - 3 >= 0:\\n                k *= w[W - j - 3]\\n            dp[i+1][j+1] += k * dp[i][j]\\n            dp[i+1][j+1] %= mod\\n\\nprint(dp[H][K-1] % mod)\", \"h,w,k=map(int,input().split())\\ndp=[[0 for _ in range(w)]for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n    for bit in range(2**(w-1)):\\n        bit=bin(bit)[2:].zfill(w-1)\\n        f=0\\n        for j in range(w-2):\\n            if bit[j]=='1' and bit[j+1]=='1':\\n                f=1\\n                break\\n        if f:\\n            continue\\n        for j in range(w):\\n            if j==0:\\n                dp[i+1][j]+=dp[i][j+1] if bit[0]=='1' else dp[i][j]\\n            elif j==w-1:\\n                dp[i+1][j]+=dp[i][j-1] if bit[-1]=='1' else dp[i][j]\\n            else:\\n                dp[i+1][j]+=dp[i][j]*(bit[j-1]=='0' and bit[j]=='0')\\n                dp[i+1][j]+=dp[i][j-1]*(bit[j-1]=='1')\\n                dp[i+1][j]+=dp[i][j+1]*(bit[j]=='1')\\n            dp[i+1][j]%=mod\\nprint(dp[-1][k-1])\", \"# Python3 (3.4.3)\\nimport sys\\ninput = sys.stdin.readline\\n\\n# -------------------------------------------------------------\\n# function\\n# -------------------------------------------------------------\\n\\n\\n# -------------------------------------------------------------\\n# main\\n# -------------------------------------------------------------\\nH,W,K = map(int,input().split())\\n\\nmod = 10**9+7\\n\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nj = [0,1,1,2,3,5,8,13];\\n# \\u5de6(\\u3042\\u308b\\u3044\\u306f\\u53f3)\\u306bn\\u672c\\u306e\\u7e26\\u68d2\\u304c\\u3042\\u308a\\u3001\\u771f\\u6a2a\\u3068\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u306a\\u3044\\u6642\\u306e\\u5834\\u5408\\u306e\\u6570\\nm = [1,1,2,3,5,8,13,21];\\n \\n# dp[h][w] : h\\u884c\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067w\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\ndp = [[0 for _ in range(W)] for _ in range(H+1)]\\ndp[0][0] = 1\\n \\nfor h in range(H+1):\\n    for w in range(W):\\n        # \\u53f3\\u306b\\u79fb\\u52d5\\n        if w != 0:\\n            dp[h][w] += dp[h-1][w-1] * j[w] * m[W-1-w]\\n        # \\u5de6\\u306b\\u79fb\\u52d5\\n        if w != W-1:\\n            dp[h][w] += dp[h-1][w+1] * m[w] * j[W-1-w]\\n        # \\u771f\\u4e0b\\u306b\\u79fb\\u52d5\\n        dp[h][w] += dp[h-1][w] * m[w] * m[W-1-w]\\n        \\n        dp[h][w] %= mod;\\n\\n    \\nprint(dp[H][K-1])\", \"H, W, K = list(map(int, input().split()))\\n\\n# \\u9023\\u7d9a\\u3059\\u308bn\\u533a\\u9593\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5\\u306f\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\n# kakekata[b][i] : b\\u304c0\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u306a\\u3044\\u65b9\\u6cd5 b\\u304c1\\u306e\\u6642\\u306fi\\u533a\\u9593\\u76ee\\u306b\\u6a4b\\u3092\\u304b\\u3051\\u308b\\u65b9\\u6cd5 \\u304c\\u4f55\\u901a\\u308a\\u3042\\u308b\\u304b\\nkakekata = [[0] * 10] + [[0] * 10]\\nkakekata[0][0] = 1\\nfor i in range(8):\\n    kakekata[0][i + 1] = kakekata[0][i] + kakekata[1][i]\\n    kakekata[1][i + 1] = kakekata[0][i]\\n\\n\\nMOD = 10 ** 9 + 7\\nclass modint:\\n    def __init__(self, x):\\n        self.x = x.x if isinstance(x, modint) else x % MOD\\n    def __str__(self): return str(self.x)\\n    __repr__ = __str__\\n    def __int__(self): return self.x\\n    __index__ = __int__\\n    def __add__(self, other): return modint(self.x + modint(other).x)\\n    def __sub__(self, other): return modint(self.x - modint(other).x)\\n    def __mul__(self, other): return modint(self.x * modint(other).x)\\n    def __pow__(self, other): return modint(pow(self.x, modint(other).x, MOD))\\n    def __floordiv__(self, other): return modint(self.x * pow(modint(other).x, MOD - 2, MOD))\\n    def __eq__(self, other): return self.x == modint(other).x\\n    def __ne__(self, other): return self.x != modint(other).x\\n    def __inv__(self): return pow(self.x, MOD - 2, MOD)\\n\\n\\ndp = [[modint(0)] * (W + 2) for h in range(H + 1)]\\ndp[0][1] += 1\\nfor h in range(H):\\n    for w in range(1, W + 1):\\n        # \\u5de6\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b \\u53f3\\u306b\\u4f55\\u533a\\u9593\\u3042\\u308b\\u304b\\n        l, r = w - 1, W - w\\n\\n        # \\u305d\\u306e\\u307e\\u307e\\u6e21\\u3059\\n        dp[h + 1][w] += dp[h][w] * kakekata[0][l] * kakekata[0][r]\\n        # \\u53f3\\u306b\\u6e21\\u3059\\n        dp[h + 1][w + 1] += dp[h][w] * kakekata[0][l] * kakekata[1][r]\\n        # \\u5de6\\u306b\\u6e21\\u3059\\n        dp[h + 1][w - 1] += dp[h][w] * kakekata[1][l] * kakekata[0][r]\\n\\nprint((dp[H][K]))\\n\", \"h,w,K=list(map(int,input().split()))\\ndef two(x):\\n\\treturn \\\"0\\\"*(w-1-len(bin(x)[2:]))+bin(x)[2:]\\ndp=[[0]*w for _ in range(h+1)]\\ndp[0][0]=1\\nmod=10**9+7\\nfor i in range(h):\\n\\tfor j in range(2**(w-1)):\\n\\t\\tr=two(j)\\n\\t\\tf=1\\n\\t\\tfor k in range(w-2):\\n\\t\\t\\tif r[k]==r[k+1]==\\\"1\\\":\\n\\t\\t\\t\\tf=0\\n\\t\\t\\t\\tbreak\\n\\t\\tif f:\\n\\t\\t\\tfor k in range(w):\\n\\t\\t\\t\\tif k+1<w:\\n\\t\\t\\t\\t\\tif r[k]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k+1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tif k>0:\\n\\t\\t\\t\\t\\tif r[k-1]==\\\"1\\\":\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]+=dp[i][k]\\n\\t\\t\\t\\t\\t\\tdp[i+1][k-1]%=mod\\n\\t\\t\\t\\t\\t\\tcontinue\\n\\t\\t\\t\\tdp[i+1][k]+=dp[i][k]\\n\\t\\t\\t\\tdp[i+1][k]%=mod\\nprint((dp[h][K-1]))\\n\\n\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            #dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"import sys\\nreadline = sys.stdin.readline\\n\\n# 0-indexed\\u3067\\u8003\\u3048\\u308b\\n# \\u7e26\\u68d2\\u306fW\\u672c\\u3001\\u6a2a\\u68d2\\u3092\\u7f6e\\u3051\\u308b\\u5834\\u6240\\u306f\\u4e00\\u884c\\u3042\\u305f\\u308aW - 1\\u7b87\\u6240\\u3068\\u306a\\u308b\\n# \\u30fbi\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\n# \\u30fbi\\u304b\\u3089\\u79fb\\u52d5\\u305b\\u305a\\u306b\\u305d\\u306e\\u307e\\u307e\\u306b\\u306a\\u308b\\u5834\\u5408\\u306e\\u6570\\n# \\u3092\\u305d\\u308c\\u305e\\u308c\\u6c42\\u3081\\u308b\\n\\n# LINE[i] = i\\u3068i + 1\\u306e\\u9593\\u306b\\u6a2a\\u68d2\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u6570\\u3002\\n# POINT[i] = i\\u304b\\u3089\\u6a2a\\u68d2\\u304c\\u51fa\\u3066\\u3044\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\n# \\u305d\\u308c\\u305e\\u308cDP\\u3067\\u6c42\\u3081\\u308b\\n\\nH,W,K = list(map(int,readline().split()))\\nDIV = 1000000007\\n\\n# dp[i][j] = \\u9593\\u9694i\\u307e\\u3067\\u51e6\\u7406\\u3057\\u305f\\u3068\\u304d\\u306b\\u3001j\\u756a\\u76ee\\u306e\\u9593\\u9694\\u306b\\u68d2\\u304c\\u3042\\u308b(0,1)\\u5834\\u5408\\u306e\\u6570\\nLINE = [-1] * (W - 1)\\nfor i in range(W - 1):\\n  # i\\u3068i + 1\\u306e\\u9593\\u306b\\u68d2\\u304c\\u3042\\u308b\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W - 1)]\\n  if i == 0:\\n    dp[0][0] = 0\\n    dp[0][1] = 1\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W - 1):\\n    if j == i:\\n      dp[j][0] = 0\\n      dp[j][1] = dp[j - 1][0]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      dp[j][1] += dp[j - 1][0]\\n  LINE[i] = dp[-1][0] + dp[-1][1]\\n  LINE[i] %= DIV\\n\\nPOINT = [-1] * W\\n# \\u70b9i\\u304b\\u3089\\u307e\\u3063\\u3059\\u3050\\u4e0b\\u304c\\u308b\\u5834\\u5408\\u306e\\u6570\\n# i\\u304b\\u3089\\u53f3\\u306b\\u68d2\\u3092\\u5f15\\u304f/\\u5f15\\u304b\\u306a\\u3044\\u5834\\u5408\\u306e\\u6570\\u3092\\u6570\\u3048\\u308b\\nfor i in range(W):\\n  # i - 1\\u306b\\u3082i\\u306b\\u3082\\u68d2\\u304c\\u306a\\u3044\\u5834\\u5408\\n  dp = [[0] * 2 for j in range(W)]\\n  if i - 1 == 0 or i == 0:\\n    dp[0][0] = 1\\n    dp[0][1] = 0\\n  else:\\n    dp[0][0] = 1\\n    dp[0][1] = 1\\n  for j in range(1, W):\\n    if j == i - 1 or j == i:\\n      dp[j][1] = 0\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n    else:\\n      dp[j][0] += dp[j - 1][0] + dp[j - 1][1]\\n      if j == W - 1:\\n        dp[j][1] = 0\\n      else:\\n        dp[j][1] += dp[j - 1][0]\\n  POINT[i] = dp[-1][0] + dp[-1][1]\\n  POINT[i] %= DIV\\n  \\n# \\u3053\\u3053\\u304b\\u3089DP\\n# dp[i][j] = \\u3042\\u307f\\u3060\\u306ei\\u6bb5\\u76ee\\u3067j\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\n\\ndp = [[0] * W for i in range(H + 1)]\\ndp[0][0] = 1\\n\\nfor i in range(1, len(dp)):\\n  for j in range(W):\\n    # j\\u3092\\u51fa\\u767a\\u70b9\\u306b\\u3057\\u3066\\u9077\\u79fb\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i][j] += dp[i - 1][j - 1] * LINE[j - 1]\\n    dp[i][j] += dp[i - 1][j] * POINT[j]\\n    if j + 1 < W:\\n      dp[i][j] += dp[i - 1][j + 1] * LINE[j]\\n      \\n    dp[i][j] %= DIV\\n    \\nprint((dp[H][K - 1]))\\n\", \"H, W, K = [int(x) for x in input().split()]\\np = 10 ** 9 + 7\\n\\n# H = 1, \\u7e26\\u68d2W\\u672c\\u306e\\u3042\\u307f\\u3060\\u304f\\u3058\\u306e\\u6570\\u3000\\u2192\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\nh1amida = [1, 1, 2] + [None] * 6\\nfor i in range(3, 9):\\n    h1amida[i] = h1amida[i - 2] + h1amida[i - 1]\\n\\n# dp[h][k] = \\u7e26\\u68d2\\u306e\\u9577\\u3055h+1\\u3001\\u7e26\\u68d2\\u306e\\u672c\\u6570W\\u3001\\u30b4\\u30fc\\u30eb\\u306e\\u68d2k\\u3068\\u306a\\u308b\\u3042\\u307f\\u3060\\u306e\\u6570\\n# dp[0][*]\\u3068dp[*][0]\\u306f\\u30c0\\u30df\\u30fc\\ndp = [[0 for _ in range(W + 1)] for _ in range(H + 1)]\\n\\nfor k in range(1, W + 1):\\n    if k == 1:\\n        dp[1][k] = h1amida[W - 1]\\n    elif k == 2:\\n        dp[1][k] = h1amida[W - 2]\\n    else:\\n        dp[1][k] = 0\\n\\nfor h in range(2, H + 1):\\n    for k in range(1, W + 1):\\n        if k > 1:\\n            dp[h][k] += (dp[h - 1][k - 1] * h1amida[k - 2] % p) * h1amida[W - k] % p\\n        dp[h][k] += (dp[h - 1][k] * h1amida[k - 1] % p) * h1amida[W - k] % p\\n        if k < W:\\n            dp[h][k] += (dp[h - 1][k + 1] * h1amida[k - 1] % p) * h1amida[W - k - 1] % p\\n        dp[h][k] %= p\\n\\nprint((dp[H][K]))\\n\", \"def isok(n):\\n    for i in range(w-2):\\n        if n >> i & 1 and n >> (i+1) & 1:\\n            return False\\n    return True\\nmod = 10**9+7\\nh,w,k = map(int,input().split())\\nh += 1\\nif w == 1:\\n    print(1)\\n    return\\nif w == 2:\\n    print(2**(h-2))\\n    return\\ndp = [[0]*(w+1) for _ in range(h+1)]\\ndp[1][1] = 1\\namida = [0]*(w)\\nnoamida = [0]*(w+1)\\nfor i in range(2**(w-1)):\\n    if isok(i):\\n        for j in range(w-1):\\n            amida[j+1] += i >> j & 1\\n        for j in range(w-2):\\n            if i >> j & 1 == 0 and i >> (j+1) & 1 == 0:\\n                noamida[j+2] += 1\\n        if i >> 0 & 1 == 0:\\n                noamida[1] += 1\\n        if i >> (w-2) & 1 == 0:\\n                noamida[w] += 1\\nfor i in range(1,h):\\n    dp[i+1][1] = (dp[i][2]*amida[1]+dp[i][1]*noamida[1]) % mod\\n    dp[i+1][w] = (dp[i][w-1]*amida[w-1]+dp[i][w]*noamida[w]) % mod\\n    for j in range(2,w):\\n        dp[i+1][j] = (dp[i][j-1]*amida[j-1]+dp[i][j+1]*amida[j]+dp[i][j]*noamida[j]) % mod\\nprint(dp[h][k])\", \"from functools import lru_cache\\n\\nH, W, K = map(int, input().split())\\nMOD = 10**9 + 7\\nK -= 1\\n\\nif W == 1:\\n    print(1)\\n    return\\n\\n@lru_cache(maxsize=None)\\ndef fib(width):\\n    if width < -1:\\n        return 0\\n    if width == -1:\\n        return 1\\n    return (fib(width - 1) + fib(width - 2)) % MOD\\n\\ndp = [0] * W\\ndp[0] = 1\\n\\nfor _ in range(H):\\n    newDp = [0] * W\\n\\n    newDp[0] = (dp[0] * fib(W - 2) + dp[1] * fib(W - 3)) % MOD\\n    newDp[W - 1] = (dp[W - 1] * fib(W - 2) + dp[W - 2] * fib(W - 3)) % MOD\\n\\n    for w in range(1, W - 1):\\n        left = dp[w - 1] * max(1, fib(w - 2)) * max(1, fib(W - 1 - w - 1))\\n        right = dp[w + 1] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 2))\\n        mid = dp[w] * max(1, fib(w - 1)) * max(1, fib(W - 1 - w - 1))\\n        newDp[w] = (left + mid + right) % MOD\\n    dp = newDp\\n\\nprint(dp[K])\", \"from itertools import combinations\\n\\nH,W,K=map(int,input().split())\\ndp=[[0 for i in range(W)] for j in range(H+1)]\\n\\nmod=10**9+7\\n\\nif W==1:\\n  if K==1:print(1)\\n  else:print(0)\\n  return\\n\\nmemo={}\\ndef is_separate(c):\\n  for i in range(len(c)-1):\\n    if c[i+1]-c[i] == 1:\\n      return False\\n  return True\\n\\ndef n_select(occupied):\\n  if memo.get(occupied):\\n    return memo[occupied]\\n  else:\\n    count=1\\n    if len(occupied)==1:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c:\\n            if is_separate(c):\\n              count += 1\\n    if len(occupied)==2:\\n      for r in range(1,W//2+1):\\n        for c in combinations(range(W-1),r=r):\\n          if occupied[0]-1 not in c and occupied[0] not in c and occupied[0]+1 not in c:\\n            if is_separate(c):count += 1\\n  memo[occupied] = count\\n  return count\\n\\ndp[0][0]=1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    if j==0:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))\\n    elif j==W-1:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j-1]*n_select((j-1,j))\\n    else:\\n      dp[i][j] = dp[i-1][j]*n_select((j,))+dp[i-1][j+1]*n_select((j,j+1))+dp[i-1][j-1]*n_select((j-1,j))\\n\\nprint(dp[-1][K-1] % mod)\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n    res *= P[(W - 1) - (R + 1)]\\n    res %= DIV\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"H,W,K = map(int, input().split())\\n\\nif W == 1:\\n    print(1 if K == 1 else 0)\\n    return\\n\\nMOD = 10 ** 9 + 7\\n\\nstates = [0]\\nfor state in range(1, 1 << (W - 1)):\\n    flag = True\\n    for j in range(1, W - 1):\\n        if ((state >> j - 1) & 1) and ((state >> j) & 1):\\n            flag = False\\n    if flag: states.append(state)\\n\\ndp = [[0] * W for _ in range(H + 1)]\\n\\ndp[0][0] = 1\\n\\n# \\u8cb0\\u3046DP\\nfor i in range(H):\\n    for state in states:\\n        for j in range(W - 1):\\n            if (state >> j) & 1:\\n                dp[i + 1][j] = (dp[i + 1][j] + dp[i][j + 1]) % MOD\\n                dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j]) % MOD\\n            else:\\n                if j == 0:\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                elif not ((state >> j - 1) & 1):\\n                    dp[i + 1][j] = (dp[i + 1][j] + dp[i][j]) % MOD\\n                if j == W - 2:\\n                    dp[i + 1][j + 1] = (dp[i + 1][j + 1] + dp[i][j + 1]) % MOD\\n\\nprint(dp[H][K - 1])\", \"import itertools\\n\\n\\ndef amida_patterns(w):\\n    # (0, 1, 2, ... , w - 1) -> ?\\n    ret = list()\\n    for bars in itertools.product([0, 1], repeat=w-1):\\n        if sum([b * bb for b, bb in zip(bars[1:], bars[:-1])]) > 0:\\n            continue\\n        location = list(range(w))\\n        for i in range(w):\\n            if i > 0 and bars[i - 1] == 1:\\n                location[i] = i - 1\\n            elif i < w - 1 and bars[i] == 1:\\n                location[i] = i + 1\\n        ret.append(location)\\n    return ret\\n\\n\\ndef main():\\n    MOD = 10**9 + 7\\n    H, W, K = list(map(int, input().split(' ')))\\n    ap_list = amida_patterns(W)\\n    dp = [[0 for _ in range(W)] for _ in range(H + 1)]\\n    dp[0][0] = 1\\n    for h in range(1, H + 1):\\n        for a in ap_list:\\n            for w in range(W):\\n                dp[h][a[w]] += dp[h - 1][w]\\n                dp[h][a[w]] %= MOD\\n    print(dp[H][K - 1])\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import sys\\n\\ndef comb(n, r, mod=None):\\n    if r == 0 or r == n:\\n        return 1\\n    r = min([r, n-r])\\n    x, y = 1, 1\\n    ans = 1\\n    for i in range(1, r+1):\\n        if mod:\\n            x *= n+1-i\\n            y *= i\\n            x %= mod\\n            y %= mod\\n        else:\\n            ans *= n+1-i\\n            ans //= i\\n    ans = x*pow(y, mod-2, mod)%mod if mod else ans\\n    return ans\\n\\n\\ndef main():\\n    h, w, k = map(int, input().split())\\n    mod = pow(10,9)+7\\n    \\n    if w == 1:\\n        print(1)\\n        return\\n    \\n    comb_list = [[0]*11 for _ in range(11)]\\n    for i in range(11):\\n        for j in range(11):\\n            if i >= j:\\n                comb_list[i][j] = comb(i, j)\\n    \\n    key_list = [1]*10\\n    for i in range(1, 10):\\n        key = 0\\n        for j in range(1, 10):\\n            if i < j*2-1:\\n                break\\n            key += comb_list[i-j+1][j]\\n        key_list[i] += key\\n    \\n    \\n    dp = [[0]*w for _ in range(h)]\\n    for i in range(h):\\n        if i == 0:\\n            dp[0][0] = key_list[w-2]\\n            dp[0][1] = key_list[w-3] if w != 2 else 1\\n            continue\\n        if w == 2:\\n            dp[i][0] = (dp[i-1][0]+dp[i-1][1])%mod\\n            dp[i][1] = (dp[i-1][0]+dp[i-1][1])%mod\\n            continue\\n            \\n        for j in range(w):\\n            if j == 0:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j+1]*key_list[w-3])%mod\\n            elif j == w-1:\\n                dp[i][j] = (dp[i-1][j]*key_list[w-2]+dp[i-1][j-1]*key_list[w-3])%mod\\n            else:\\n                dp[i][j] = 0\\n                dp[i][j] += (dp[i-1][j-1]*key_list[max([0, j-2])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j]*key_list[max([0, j-1])]*key_list[max([0, w-2-j])])%mod\\n                dp[i][j] += (dp[i-1][j+1]*key_list[max([0, j-1])]*key_list[max([0, w-3-j])])%mod\\n                dp[i][j] %= mod\\n    print(dp[h-1][k-1])\\n                                                                           \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"\\\"\\\"\\\"\\n    dp[h][w]: h\\u756a\\u76ee\\u306erow(h: 0~H(\\u7d42\\u7740))\\u3067\\u68d2w(w: 0~W-1)\\u306b\\u3044\\u308b\\u72b6\\u614b\\u306b\\u306a\\u308b\\u305f\\u3081\\u306e\\u6a2a\\u7dda(0~h)\\u306e\\u7d44\\u5408\\u305b\\u6570\\n    dp[h][w] = A*dp[h-1][w-1] + B*dp[h-1][w] + C*dp[h-1][w+1] o(1000)\\n    A, B, C\\u306f\\u306a\\u3093\\u304b\\u3046\\u307e\\u3044\\u3053\\u3068\\u6c7a\\u3081\\u308c\\u305d\\u3046\\u3002(\\u5168\\u63a2\\u7d22\\u3067\\u3082max7*7*3\\u901a\\u308a)o(1000) \\n    \\u3069\\u3046\\u3084\\u3063\\u3066\\u3082O(10**6)\\u306b\\u306f\\u5165\\u308a\\u305d\\u3046\\n    \\\"\\\"\\\"\\ndef main():\\n    import sys\\n    input = sys.stdin.readline\\n    H, W, K = map(int, input().split())\\n    dp = [[0]*W for _ in range(H+1)]\\n    dp[0][0] = 1\\n    for h in range(1, H+1):\\n        for w in range(W):\\n            A, B, C = 0, 0, 0\\n            for i in range(2 ** (W-1)):\\n                lines = []\\n                for j in range(W-1):\\n                    if ((i >> j) & 1):\\n                        if lines and lines[-1]:\\n                            break\\n                        lines.append(True)\\n                    else:\\n                        lines.append(False)\\n                else:\\n                    if w-1 >= 0 and lines[w-1]:\\n                        A += 1\\n                    elif w <= W-2 and lines[w]:\\n                        C += 1\\n                    else:\\n                        B += 1\\n            if w-1 >= 0:\\n                dp[h][w] += dp[h-1][w-1] * A\\n            dp[h][w] += dp[h-1][w] * B\\n            if w+1 <= W-1:\\n                dp[h][w] += dp[h-1][w+1] * C\\n    print(dp[H][K-1] % (10**9+7))\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"h,w,k=map(int,input().split())\\nmod=10**9+7\\nR=[[],[1],[1,1],[2,1,2],[3,2,2,3],[5,3,4,3,5],[8,5,6,6,5,8],[13,8,10,9,10,8,13]]\\nT=[1,2,3,5,8,13,21,34]\\nr=R[w-1]\\nt=T[w-1]\\nA=[0]*w\\nA[0]=1\\nif w==1:\\n    print(1)\\nelse:\\n    for i in range(h):\\n        C=[0]*w\\n        for i in range(w):\\n            if i==0:\\n                C[0]+=(t-r[0])*A[0]\\n                C[1]+=r[0]*A[0]\\n            elif i==w-1:\\n                C[w-1]+=(t-r[w-2])*A[w-1]\\n                C[w-2]+=r[w-2]*A[w-1]\\n            else:\\n                C[i-1]+=r[i-1]*A[i]\\n                C[i]+=(t-r[i-1]-r[i])*A[i]\\n                C[i+1]+=r[i]*A[i]\\n        for i in range(w):\\n            C[i]%=mod\\n        A=C\\n    print(A[k-1])\", \"import sys\\n\\nh, w, k = map(int, input().split())\\nMOD = 1000000007\\n\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\n\\nfn = [1, 1, 2, 3, 5, 8, 13, 21, 34]\\n\\nif w == 1:\\n    print(1)\\n    return\\n\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        dp[i][j] = dp[i - 1][j] * fn[j] * fn[w - j - 1]\\n        if j < w - 1:\\n            dp[i][j] += dp[i - 1][j + 1] * fn[j] * fn[w - j - 2]\\n        if 0 < j:\\n            dp[i][j] += dp[i - 1][j - 1] * fn[j - 1] * fn[w - j - 1]\\n        dp[i][j] %= MOD\\n\\nprint(dp[-1][k - 1] % MOD)\", \"#!/usr/bin/env python\\n# -*- coding: utf-8 -*-\\n\\n#number of amidakuji\\n\\nh,w,k=list(map(int,input().split()))\\n\\ndp=[[0 for i in range(w+1)] for i in range(h+1)]\\n\\n#dp[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u3067j\\u3068\\u3044\\u3046\\u3068\\u3053\\u308d\\u306b\\u3044\\u304f\\u305f\\u3081\\u306b\\u5fc5\\u8981\\u306a\\u65b9\\u6cd5\\u306e\\u7dcf\\u548c\\n#\\u6c42\\u3081\\u308b\\u306e\\u306fdp[h][k]\\u3067\\u3042\\u308b\\ndp[0][1] = 1\\nmod=10**9+7\\nif w>1:\\n    for i in range(1,h+1):\\n        for j in range(2**(w-1)):\\n            st=format(j,\\\"0%ib\\\"%(w-1))\\n            flag=True\\n            for _ in range(w-2):\\n                if st[_]==\\\"1\\\" and st[_+1]==\\\"1\\\":\\n                    flag=False\\n            connect=[False for kyopuro in range(w+1)]\\n            if flag:\\n                li=[]\\n                for ss in range(w-1):\\n                    if st[ss]==\\\"1\\\":\\n                        li.append(ss+1)\\n                        connect[ss+1]=True\\n                        connect[ss+2]=True\\n\\n                for some in li:\\n                    dp[i][some+1]+=dp[i-1][some]\\n                    dp[i][some+1]%=mod\\n                    dp[i][some]+=dp[i-1][some+1]\\n                    dp[i][some]%=mod\\n                for number in range(1,w+1):\\n                    if connect[number]==False:\\n                        dp[i][number]+=dp[i-1][number]\\n                        dp[i][number]%=mod\\n    print((dp[h][k]%mod))\\n                \\n        \\nelse:\\n    print((1))\\n\\n\\n\", \"'''Yoshichi\\u306e\\u65e5\\u8a18\\n\\u3042\\u307f\\u3060\\u304f\\u3058\\u3002\\n0\\u672c\\u76ee\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\u3057\\u3001W\\u672c\\u306e\\u9577\\u3055H + 1\\u307e\\u3067\\u306b\\u3092\\u4efb\\u610f\\u306e\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u6642\\nK\\u672c\\u76ee\\u306b\\u305f\\u3069\\u308a\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306f\\u4f55\\u30d1\\u30bf\\u30fc\\u30f3\\u3042\\u308b\\u304b\\u7b54\\u3048\\u3088\\u3002\\n\\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u72b6\\u614b\\u3067\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u3092\\u5168\\u5217\\u6319\\u3057\\u3001DP(\\u30e1\\u30e2\\u5316\\u518d\\u5e30)\\u3092\\u7528\\u3044\\u3066\\u7b54\\u3048\\u308b\\u3002\\nx \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\ny \\u2192 \\u73fe\\u5728\\u306e\\u9032\\u307f\\u5177\\u5408\\nfor\\u5206\\u306ei \\u2192 \\u73fe\\u5728\\u306e\\u4f4d\\u7f6e\\u306b\\u3044\\u308b\\u6642\\u306e\\u7dda\\u306e\\u914d\\u7f6e\\u72b6\\u614b(1\\u304c\\u96a3\\u63a5\\u3078\\u3064\\u306a\\u304c\\u3063\\u3066\\u3044\\u308b\\u3068\\u304d)\\nfor\\u5206\\u306ej \\u2192 NG\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u5217\\u6319(\\u96a3\\u3078\\u7e4b\\u304c\\u3063\\u3066\\u3044\\u308b\\u304b\\u3064\\u3001\\n                   \\u6b21\\u306e\\u96a3\\u3078\\u3082\\u7dda\\u304c\\u5f15\\u304b\\u308c\\u3066\\u3044\\u308b\\u72b6\\u614b)\\n'''\\nfrom collections import defaultdict\\nh, w, k = map(int, input().split())\\nmemo = defaultdict(lambda:defaultdict(int))\\ndef dfs(x, y):\\n    if y == h:\\n        if x == k - 1:\\n            return 1\\n        else:\\n            return 0\\n    if y in memo[x]:\\n        return memo[x][y]\\n    ans = 0\\n    for i in range(1 << w - 1):\\n        flg = True\\n        for j in range(w - 2):\\n            if i & (1 << j) and i & (1 << j + 1):\\n                flg = False\\n                break\\n        if flg:\\n            nx = x\\n            if x > 0 and i & (1 << x - 1):\\n                nx = x - 1\\n            elif i & (1 << x):\\n                nx = x + 1\\n            ans += dfs(nx, y + 1)\\n            ans %= 1000000000 + 7\\n    memo[x][y] = ans\\n    return ans\\nprint(dfs(0, 0))\", \"#\\u5b9f\\u306fDP\\u3068\\u5272\\u308a\\u5207\\u308b\\u3068\\u308f\\u304b\\u308a\\u3084\\u3059\\u3044\\nmod=10**9+7\\nh,w,K=map(int,input().split())\\ndp=[[0]*w for j in range(h+1)]\\ndp[0][0]=1\\nfor i in range(1,h+1):\\n    for k in range(2**(w-1)):\\n        for l in range(w-2):\\n            if ((k>>l)&1) and ((k>>(l+1))&1):\\n                break\\n        else:\\n            for l in range(w):\\n                if l==0:\\n                    if ((k>>l)&1):\\n                        dp[i][l+1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                elif l==w-1:\\n                    if ((k>>(l-1))&1):\\n                        dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n                else:\\n                    if ((k>>l)&1) or ((k>>(l-1))&1):\\n                        if ((k>>l)&1):\\n                            dp[i][l+1]+=dp[i-1][l]\\n                        else:\\n                            dp[i][l-1]+=dp[i-1][l]\\n                    else:\\n                        dp[i][l]+=dp[i-1][l]\\n            dp[i][l]%=mod\\nprint(dp[h][K-1]%mod)\", \"H, W, K = list(map(int, input().split()))\\n\\nWW = [0]*(W+1)\\nWW[0] = 1\\nWW[1] = 1\\nfor i in range(2, W+1):\\n    WW[i] = WW[i-1] + WW[i-2]\\nDP = [[0]*W for i in range(H+1)]\\nDP[0][0] = 1\\nmod = 10**9+7\\nfor i in range(1, H+1):\\n    for j in range(W):\\n        if j == 0:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j+1]*WW[W-2]\\n        elif j == W-1:\\n            DP[i][j] = DP[i-1][j]*WW[W-1]\\n            if W > 1:\\n                DP[i][j] += DP[i-1][j-1]*WW[W-2]\\n        else:\\n            DP[i][j] = DP[i-1][j]*WW[j]*WW[W-1-j]+DP[i-1][j-1] * \\\\\\n                WW[j-1]*WW[W-1-j]+DP[i-1][j+1]*WW[j]*WW[W-2-j]\\n\\n        DP[i][j] %= mod\\n# print(DP, WW)\\nprint((DP[-1][K-1]))\\n\", \"import sys\\nfrom itertools import product\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    H, W, K = list(map(int, readline().split()))\\n\\n    A = product((0, 1), repeat=W - 1)\\n    B = []\\n    for bars in A:\\n        ok = True\\n        for i in range(W - 2):\\n            if bars[i] and bars[i + 1]:\\n                ok = False\\n                break\\n        if ok:\\n            B.append(bars)\\n\\n    dp = [0] * W\\n    dp[0] = 1\\n\\n    for _ in range(H):\\n        dp, dp_prev = [0] * W, dp\\n        for bars in B:\\n            for i in range(W):\\n                if i > 0 and bars[i - 1]:\\n                    dp[i - 1] = (dp[i - 1] + dp_prev[i]) % MOD\\n                elif i < W - 1 and bars[i]:\\n                    dp[i + 1] = (dp[i + 1] + dp_prev[i]) % MOD\\n                else:\\n                    dp[i] = (dp[i] + dp_prev[i]) % MOD\\n\\n    print((dp[K - 1]))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h,w,K=map(int,input().split())\\nmod=10**9+7\\ndp=[[0 for i in range(w)] for j in range(h+1)]\\nfor i in range(2**(w-1)):dp[0][0]=1\\nfor i in range(1,h+1):\\n    for j in range(2**(w-1)):\\n        s=format(j,\\\"b\\\").zfill(w-1)\\n        if \\\"11\\\" in s:continue\\n        exchanged=[False]*w\\n        for k in range(w-1):\\n            if s[k]==\\\"1\\\":\\n                dp[i][k]+=dp[i-1][k+1]\\n                dp[i][k+1]+=dp[i-1][k]\\n                dp[i][k]%=mod\\n                dp[i][k+1]%=mod\\n                exchanged[k]=True\\n                exchanged[k+1]=True\\n        for k in range(w):\\n            if exchanged[k]:continue\\n            dp[i][k]+=dp[i-1][k]\\n            dp[i][k]%=mod\\n\\nprint(dp[-1][K-1])\", \"# |-| | | | |\\n# \\u306e\\u3088\\u3046\\u306b\\u4e00\\u756a\\u5de6\\u306e\\u4e00\\u672c\\u304c\\u6c7a\\u307e\\u3063\\u305f\\u3068\\u304d\\u3001\\u6b8b\\u308a\\u306e\\n#     | | | |\\n# \\u306b\\u306f\\u3001\\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304c3\\u3064\\u3042\\u308b\\n# \\u7dda\\u3092\\u5f15\\u304f\\u5834\\u6240\\u304cN\\u500b\\u3042\\u308b\\u3068\\u304d\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\u306e\\u7d44\\u307f\\u5408\\u308f\\u305b\\u306f\\n# A[1] = 2, A[2] = 3, A[N] = A[N - 2] + A[N - 1]\\n# \\u306e\\u307b\\u307c\\u30d5\\u30a3\\u30dc\\u30ca\\u30c3\\u30c1\\u6570\\u5217\\n# 2,3,5,8,13...\\n# \\u3053\\u308c\\u3092\\u3042\\u3089\\u304b\\u3058\\u3081\\u6700\\u5927\\u6570\\u3076\\u3093\\u6c42\\u3081\\u3066\\u304a\\u304f\\n# \\u6a2a\\u68d2W\\u672c\\u306b\\u5bfe\\u3057\\u3066\\u3001W - 1\\u500b\\u306e\\u9593\\u9694\\u304c\\u3042\\u308a\\u3001\\u305d\\u306e\\u3046\\u3061\\u7aef\\u306e2\\u304b\\u6240\\u304c\\u57cb\\u307e\\u3063\\u305f\\u72b6\\u614b\\u304c\\u6700\\u5927\\u306a\\u306e\\u3067W - 3\\n# \\u3053\\u308c\\u3092\\u6c42\\u3081\\u308b\\n\\nimport sys\\nreadline = sys.stdin.readline\\n\\nDIV = 10 ** 9 + 7\\nH,W,K = map(int,readline().split())\\n\\nP = [0] * max(W - 2 + 1,3)\\nP[1],P[2] = 2,3\\nfor i in range(3, len(P)):\\n  P[i] = P[i - 1] + P[i - 2]\\n  \\n# [0, 2, 3, 5, 8, 13, 21, 34, ...]\\n\\n# \\u901a\\u3089\\u306a\\u3044\\u7dda\\u306f\\u4e0a\\u8a18\\u3067\\u7b97\\u51fa\\u3067\\u304d\\u308b\\u306e\\u3067\\u3001\\u901a\\u308b\\u7dda\\u3092\\u8003\\u3048\\u308b\\n# \\u4e0a\\u304b\\u3089i\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001\\u7e26\\u68d2j\\u306b\\u3044\\u308b\\u3068\\u304d\\u306e\\u5834\\u5408\\u306e\\u6570\\u3067DP\\u3059\\u308b\\n\\ndp = [[0 for j in range(W)] for i in range(H + 1)]\\n\\ndp[0][0] = 1 # \\u4e0a\\u304b\\u30890\\u6bb5\\u76ee\\u3092\\u7d42\\u3048\\u305f\\u6642\\u70b9(\\u307e\\u3060\\u4f55\\u3082\\u3057\\u3066\\u3044\\u306a\\u3044)\\u3068\\u304d\\u306b0\\u306b\\u3044\\u308b\\u306e\\u30671\\u901a\\u308a\\n\\ndef calc(L,R): # L\\u3068R\\u306e\\u9593\\u306b\\u7dda\\u3092\\u5f15\\u3044\\u305f\\u5834\\u5408\\u306e\\u3001\\u6b8b\\u308a\\u306e\\u7dda\\u306e\\u5f15\\u304d\\u65b9\\n#  print(\\\"calc L\\\",L,\\\"R\\\",R)\\n  res = 1\\n  if 1 < L:\\n    # | | |-| L\\u304c2\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1 (L - 1)\\u3067\\u304d\\u308b\\n    res *= P[L - 1]\\n#    print(\\\"P[L - 2]\\\",P[L - 2],\\\"res\\\",res)\\n    res %= DIV\\n  if (W - 1) - (R + 1) >= 1:\\n    # |-| | | R + 2 = W - 1\\u306e\\u3068\\u304d\\u306f\\u3058\\u3081\\u3066\\u30b9\\u30da\\u30fc\\u30b9\\u304c1(W - R)\\u3067\\u304d\\u308b\\n#    print(min((W - 1) - (R + 1),len(P)))\\n    res *= P[(W - 1) - (R + 1)]\\n#    print(\\\"P[(W - 1) - (R + 1)]\\\",min((W - 1) - (R + 1),len(P)),\\\"res\\\",res)\\n    res %= DIV\\n#  print(res,\\\"\\u901a\\u308a\\\")\\n  return res\\n  \\n# \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\u3001\\u4f55\\u3082\\u3057\\u306a\\u3044\\u3001\\u306e3\\u901a\\u308a\\u3067DP\\nfor i in range(H):\\n  for j in range(W):\\n    # \\u53f3\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j + 1 < W:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n      dp[i + 1][j + 1] += dp[i][j] * calc(j, j + 1)\\n      dp[i + 1][j + 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j + 1\\\",j + 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j + 1]\\\",dp[i + 1][j + 1])\\n    # \\u5de6\\u306b\\u79fb\\u52d5\\u3059\\u308b\\n    if j - 1 >= 0:\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n      dp[i + 1][j - 1] += dp[i][j] * calc(j - 1,j)\\n      dp[i + 1][j - 1] %= DIV\\n#      print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i + 1\\\",i + 1,\\\"j - 1\\\",j - 1,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j - 1]\\\",dp[i + 1][j - 1])\\n    # \\u4f55\\u3082\\u3057\\u306a\\u3044\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3059\\u308b dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n    dp[i + 1][j] += dp[i][j] * calc(j,j) # \\u5de6\\u7aef\\u3082\\u53f3\\u7aef\\u3082\\u540c\\u3058\\n    dp[i + 1][j] % DIV\\n#    print(\\\"i\\\",i,\\\"j\\\",j,\\\"\\u304b\\u3089i\\\",i,\\\"j\\\",j,\\\"\\u306b\\u79fb\\u52d5\\u3057\\u305f dp[i][j]\\\",dp[i][j],\\\"dp[i + 1][j]\\\",dp[i + 1][j])\\n#  for d in dp:\\n#    print(dp)\\n\\n    \\n# i = H\\u6bb5\\u76ee\\u307e\\u3067\\u7d42\\u3048\\u305f\\u6642\\u70b9\\u3067\\u3001j = K - 1\\u306b\\u3044\\u308b\\u5834\\u5408\\u306e\\u6570\\nprint(dp[H][K - 1] % DIV)\", \"def main():\\n    mod = 10**9 + 7\\n    h, w, k = map(int, input().split())\\n\\n    if w == 1:\\n        print(1)\\n        return\\n    if w == 2:\\n        print(pow(2, h-1, mod))\\n        return\\n\\n    k -= 1\\n\\n    fibo = [1, 2, 3, 5, 8, 13, 21]\\n\\n    dp = [0] * w\\n    dp[0] = 1\\n    for _ in range(h):\\n        new_dp = [0] * w\\n        new_dp[0] = (dp[0] * fibo[w-2] + dp[1] * fibo[w-3]) % mod\\n        new_dp[1] = (dp[0] * fibo[w-3]) % mod\\n        new_dp[w-1] = (dp[w-1] * fibo[w-2] + dp[w-2] * fibo[w-3]) % mod\\n        new_dp[w-2] += (dp[w-1] * fibo[w-3]) % mod\\n        for i in range(1, w-1):\\n            new_dp[i] += ((fibo[i-1] * fibo[w-i-2]) * dp[i]) % mod\\n        for i in range(1, w-2):\\n            new_dp[i] += (fibo[i-1] * fibo[w-i-3]) * dp[i+1]\\n            new_dp[i] %= mod\\n            new_dp[i+1] += (fibo[i-1] * fibo[w-i-3]) * dp[i]\\n            new_dp[i+1] %= mod\\n        dp = new_dp\\n\\n    print(dp[k] % mod)\\n\\nmain()\", \"#!/usr/bin/env python3\\nfrom itertools import product\\nimport sys\\n\\ntry:\\n    from typing import List, Tuple\\nexcept ImportError:\\n    pass\\n\\n\\nMOD = 1000000007  # type: int\\n\\n\\ndef isvalid(ptn: \\\"Tuple[bool]\\\"):\\n    return not any(h1 and h2 for h1, h2 in zip(ptn, ptn[1:]))\\n\\n\\ndef solve(H: int, W: int, K: int):\\n    validptns = [\\n        ptn\\n        for ptn in product((False, True), repeat=W - 1)\\n        if isvalid(ptn)\\n    ]  # type: List[Tuple[bool]]\\n    dp = [1 if i == K - 1 else 0 for i in range(W)]  # type: List[int]\\n    for _ in range(H):\\n        newdp = [0] * W  # type: List[int]\\n        for ptn in validptns:\\n            for s in range(W):\\n                t = s\\n                if s < W - 1 and ptn[s]:\\n                    t = s + 1\\n                elif s > 0 and ptn[s - 1]:\\n                    t = s - 1\\n                newdp[t] += dp[s]\\n                newdp[t] %= MOD\\n        dp = newdp\\n\\n    print((dp[0]))\\n\\n\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    H = int(next(tokens))  # type: int\\n    W = int(next(tokens))  # type: int\\n    K = int(next(tokens))  # type: int\\n    solve(H, W, K)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"h, w, k = list(map(int, input().split()))\\np = 10**9+7\\n# DP[i][j]=i\\u6bb5\\u76ee\\u307e\\u3067\\u898b\\u30660\\u304b\\u3089j\\u306b\\u7740\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u6570\\nDP = [[0 for j in range(w+1)] for i in range(h+1)]\\nDP[0][0] = 1\\n# F[k]=k\\u500b\\u306e\\u67a0\\u306b\\u96a3\\u308a\\u5408\\u308f\\u306a\\u3044\\u3088\\u3046\\u306b\\u7dda\\u3092\\u5f15\\u304f\\u30d1\\u30bf\\u30fc\\u30f3\\u306e\\u6570\\nF = [1, 1, 2, 3, 5, 8, 13, 21]\\nfor i in range(h):\\n    for j in range(w):\\n        a = DP[i][j-1]*F[j-1]*F[w-1-j]\\n        b = DP[i][j]*F[j]*F[w-1-j]\\n        c = DP[i][j+1]*F[j]*F[w-2-j]\\n        DP[i+1][j] = (a+b+c) % p\\nprint((DP[h][k-1]))\\n\", \"def f(i):\\n  if i == W-1:\\n    for j in range(W-2):\\n      if s[j] == s[j+1] == 1:\\n        return\\n    nonlocal x\\n    for j in range(W):\\n      if j == 0:\\n        if s[0] == 1:\\n          x[0][1] += 1\\n        else:\\n          x[0][0] += 1\\n      elif j == W - 1:\\n        if s[W-2] == 1:\\n          x[W-1][W-2] += 1\\n        else:\\n          x[W-1][W-1] += 1\\n      else:\\n        if s[j-1] == 1:\\n          x[j][j-1] += 1\\n        elif s[j] == 1:\\n          x[j][j+1] += 1\\n        else:\\n          x[j][j] += 1 \\n    return\\n  s[i] = 1\\n  f(i + 1)\\n  s[i] = 0\\n  f(i + 1)\\n\\nH,W,K=map(int, input().split())\\nMOD = pow(10, 9) + 7\\ns = [0] * (W - 1)\\nx = [[0] * W for _ in range(W)]\\nif not W == 1:\\n  f(0)\\nelse:\\n  print(1)\\n  return\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(1,H+1):\\n  for j in range(W):\\n    for l in range(W):\\n      dp[i][j]+=dp[i-1][l]*x[l][j]\\n      dp[i][j]%=MOD\\nprint(dp[H][K-1])\", \"import sys\\ninput=sys.stdin.readline\\nINF = 10**9\\nMOD = 10**9 + 7\\n\\ndef main():\\n    h,w,k = list(map(int,input().split()))\\n\\n    dp = [[0]*w for _ in range(h+1)]\\n    dp[0][0] = 1\\n\\n    for i in range(h):\\n        for bit in range(1<<(w-1)):\\n            flag = False\\n            before = -2\\n            line = [0] * (w-1)\\n            for j in range(w-1):\\n                if (bit>>j)&1:\\n                    if  before + 1 == j:\\n                        flag = True\\n                        break\\n                    \\n                    else:\\n                        before = j\\n                        line[j] = 1\\n  \\n\\n            if flag:\\n                continue\\n\\n            j = 0\\n            while j < w:\\n                if j == w-1:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    break\\n                if line[j]:\\n                    dp[i+1][j] += dp[i][j+1]\\n                    dp[i+1][j] %= MOD\\n                    dp[i+1][j+1] += dp[i][j]\\n                    dp[i+1][j+1] %= MOD\\n                    j += 2\\n                else:\\n                    dp[i+1][j] += dp[i][j]\\n                    dp[i+1][j] %= MOD\\n                    j += 1\\n\\n    print((dp[-1][k-1]%MOD))\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"H,W,K = list(map(int,input().split()))\\nMOD = 10**9+7\\n\\ndp = [[0]*W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for b in range(1<<(W-1)):\\n        if '11' in bin(b): continue\\n        for k in range(W):\\n            if k and b&(1<<(k-1)):\\n                dp[i+1][k-1] += dp[i][k]\\n            elif b&(1<<k):\\n                dp[i+1][k+1] += dp[i][k]\\n            else:\\n                dp[i+1][k] += dp[i][k]\\n\\nprint((dp[-1][K-1] % MOD))\\n\", \"#!/usr/bin/env python3\\n\\nimport itertools\\nmod = 1000000007\\n\\nh, w, k = list(map(int, input().split()))\\n\\ndp = [[0]*(w) for _ in range(h+1)]\\n\\ndp[0][0] = 1\\n\\nfor h_ in range(1, h+1):\\n    for bridges in itertools.product([0, 1], repeat=w-1):\\n        flag = 0\\n        for j in range(len(bridges)-1):\\n            if bridges[j] == 1 and bridges[j+1] == 1:\\n                flag = 1\\n                continue\\n        if flag == 1:\\n            continue\\n        # print(bridges)\\n        for w_ in range(w):\\n            if w_ > 0:\\n                if bridges[w_-1] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_-1] % mod\\n                    continue\\n            if w_ < w-1:\\n                if bridges[w_] == 1:\\n                    dp[h_][w_] += dp[h_-1][w_+1] % mod\\n                    continue\\n            dp[h_][w_] += dp[h_-1][w_] % mod\\n\\n# print(dp)\\n\\nprint((dp[-1][k-1] % mod))\\n\", \"h,w,k=map(int,input().split())\\nf=[1,1,2,3,5,8,13,21]\\nm=10**9+7\\ndp=[[1]+[0]*(w-1)for i in range(h+1)]\\nh=0if w==1else h\\nfor i in range(1,h+1):\\n for j in range(w):\\n  if j==0:dp[i][0]=(dp[i-1][0]*f[w-1] + dp[i-1][1]*f[w-2])%m;\\n  elif j==w-1:dp[i][w-1]=(dp[i-1][w-1]*f[w-1] + dp[i-1][w-2]*f[w-2])%m\\n  else:dp[i][j]=(dp[i-1][j]*f[j]*f[w-j-1]+dp[i-1][j-1]*f[j-1]*f[w-j-1]+dp[i-1][j+1]*f[j]*f[w-j-2])%m\\nprint(dp[h][k-1])\", \"H, W, K = list(map(int, input().split()))\\n\\nmod = 10**9 + 7\\ndp = [[0] * W for _ in range(H+1)]\\ndp[0][0] = 1\\nfor i in range(H):\\n    for j in range(W):\\n        for bit in range(1 << (W-1)):\\n            ok = True\\n            for k in range(W-2):\\n                if bit & (1 << k) and bit & (1 << (k+1)):\\n                    ok = False\\n            if not ok:\\n                continue\\n\\n            jj = j\\n            if j > 0 and bit & (1 << (j-1)):\\n                jj -= 1\\n            elif j < W - 1 and bit & (1 << j):\\n                jj += 1\\n            dp[i+1][jj] += dp[i][j]\\n            dp[i+1][jj] %= mod\\n\\n\\nprint((dp[H][K-1]))\\n\", \"def main():\\n    h, w, k = list(map(int, input().split()))\\n\\n    dp = [[0] * (w + 2) for _ in range(h + 1)]\\n    dp[0][1] = 1\\n\\n    c = [1, 1, 2, 3, 5, 8, 13, 21]\\n\\n    for i in range(1, h + 1):\\n        for j in range(1, w + 1):\\n            dp[i][j] = c[j - 1] * c[w - j] * dp[i - 1][j] + c[j - 1] * c[w - j - 1] * dp[i - 1][j + 1] + c[j - 2] * c[w - j] * dp[i - 1][j - 1]\\n\\n    print((dp[h][k] % (10 ** 9 + 7)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def f(i):\\n    if i == w - 1:\\n        for j in range(w - 2):\\n            if s[j] == s[j + 1] == 1:\\n                return\\n        nonlocal x\\n        for j in range(w):\\n            if j == 0:\\n                if s[0] == 1:\\n                    x[0][1] += 1\\n                else:\\n                    x[0][0] += 1\\n            elif j == w - 1:\\n                if s[w - 2] == 1:\\n                    x[w - 1][w - 2] += 1\\n                else:\\n                    x[w - 1][w - 1] += 1\\n            else:\\n                if s[j - 1] == 1:\\n                    x[j][j - 1] += 1\\n                elif s[j] == 1:\\n                    x[j][j + 1] += 1\\n                else:\\n                    x[j][j] += 1 \\n        return\\n    s[i] = 1\\n    f(i + 1)\\n    s[i] = 0\\n    f(i + 1)\\n\\nh, w, k = map(int, input().split())\\nmod = pow(10, 9) + 7\\ns = [0] * (w - 1)\\nx = [[0] * w for _ in range(w)]\\nif not w == 1:\\n    f(0)\\nelse:\\n    print(1)\\n    return\\ndp = [[0] * w for _ in range(h + 1)]\\ndp[0][0] = 1\\nfor i in range(1, h + 1):\\n    for j in range(w):\\n        for l in range(w):\\n            dp[i][j] += dp[i - 1][l] * x[l][j]\\n            dp[i][j] %= mod\\nprint(dp[h][k - 1])\"]",
        "difficulty": "interview",
        "input": "92 8 6\n",
        "output": "127339651\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc113/tasks/abc113_d"
    },
    {
        "id": 230,
        "task_id": 1663,
        "test_case_id": 1,
        "question": "Sometimes it is not easy to come to an agreement in a bargain. Right now Sasha and Vova can't come to an agreement: Sasha names a price as high as possible, then Vova wants to remove as many digits from the price as possible. In more details, Sasha names some integer price $n$, Vova removes a non-empty substring of (consecutive) digits from the price, the remaining digits close the gap, and the resulting integer is the price.\n\nFor example, is Sasha names $1213121$, Vova can remove the substring $1312$, and the result is $121$.\n\nIt is allowed for result to contain leading zeros. If Vova removes all digits, the price is considered to be $0$.\n\nSasha wants to come up with some constraints so that Vova can't just remove all digits, but he needs some arguments supporting the constraints. To start with, he wants to compute the sum of all possible resulting prices after Vova's move.\n\nHelp Sasha to compute this sum. Since the answer can be very large, print it modulo $10^9 + 7$.\n\n\n-----Input-----\n\nThe first and only line contains a single integer $n$ ($1 \\le n < 10^{10^5}$).\n\n\n-----Output-----\n\nIn the only line print the required sum modulo $10^9 + 7$.\n\n\n-----Examples-----\nInput\n107\n\nOutput\n42\n\nInput\n100500100500\n\nOutput\n428101984\n\n\n\n-----Note-----\n\nConsider the first example.\n\nVova can choose to remove $1$, $0$, $7$, $10$, $07$, or $107$. The results are $07$, $17$, $10$, $7$, $1$, $0$. Their sum is $42$.",
        "solutions": "[\"s=input();M=10**9+7;o=u=v=0;n=len(s)\\nfor i in range(n):c=int(s[i]);u+=v;v=(10*v+c)%M;o+=pow(10,n-i-1,M)*((i*i+i)//2*c+u)\\nprint(o%M)\", \"mod = int(1e9+7)\\ns = input()\\nn = len(s)\\npref = [0] * (n+1)\\nfor i in range(n):\\n    pref[i+1] = (int(s[i]) + pref[i]*10) % mod\\nfor i in range(n):\\n    pref[i+1] = (pref[i+1] + pref[i]) % mod\\n\\nres = 0\\nacc = 0\\nfor i in range(n, 0, -1):\\n    res += pref[i-1] * pow(10, n-i, mod) + i*acc\\n    res %= mod\\n    acc = acc + int(s[i-1]) * pow(10, n-i, mod) % mod\\nprint(res)\\n\", \"import sys\\nz=sys.stdin.readline\\nM=10**9+7\\nn=[*map(int,z().strip())]\\nl=len(n)\\np=[0]\\nfor i in range(l):p.append(p[-1]+n[i])\\ns=0\\nv=(l*l-l)//2\\nd=1\\nfor i in range(1,l):\\n    r=p[l-i]*i+v*n[l-i]\\n    s=(s+r*d)%M\\n    d=(d*10)%M\\n    v-=l-i\\nprint(s)\", \"n = input().strip()\\nM = 1000000007\\nl = len(n)\\n\\na = 0\\nb = 0\\nfor i,c in enumerate(n[::-1]):\\n\\tc = int(c)\\n\\tp = l - 1 - i\\n\\ta += p * (p + 1) // 2 * c * pow(10, i, M)\\n\\ta += b * c\\n\\ta %= M\\n\\tb += (i+1) * pow(10, i, M)\\n\\tb %= M\\nprint(a)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nMOD = 10 ** 9 + 7\\nN = 10 ** 5 + 100\\n\\nfact = [0 for _ in range(N)]\\ninvfact = [0 for _ in range(N)]\\nfact[0] = 1\\nfor i in range(1, N):\\n    fact[i] = fact[i - 1] * i % MOD\\n\\ninvfact[N - 1] = pow(fact[N - 1], MOD - 2, MOD)\\n\\nfor i in range(N - 2, -1, -1):\\n    invfact[i] = invfact[i + 1] * (i + 1) % MOD\\ndef nCk(n, k):\\n    if k < 0 or n < k:\\n        return 0\\n    else:\\n        return fact[n] * invfact[k] * invfact[n - k] % MOD\\n\\ndef main():\\n    n = input().strip()\\n    ans = 0\\n    l = len(n)\\n    plus = 0\\n    plus2 = 1\\n    plus3 = 1\\n    for i, str_num in enumerate(n[::-1]):\\n        num = int(str_num)\\n        j = l - i - 1\\n        ans += nCk(j + 1, 2) * pow(10, i, MOD) * num\\n        ans %= MOD\\n        ans += num * plus\\n        ans %= MOD\\n        plus += plus2 * plus3\\n        plus2 *= 10\\n        plus3 += 1\\n        plus %= MOD\\n        plus2 %= MOD\\n        plus3 %= MOD\\n\\n    print(ans)\\n        \\n        \\nmain()\\n\", \"n = list(input())\\nl = len(n)\\nx = 1\\ny = 0\\nz = 0\\nmod = pow(10, 9) + 7\\nans = 0\\nfor i in range(l):\\n    m = int(n[l - i - 1])\\n    ans += x * m * ((l - i) * (l - i - 1) // 2)\\n    ans %= mod\\n    ans += z * m\\n    ans %= mod\\n    y += 1\\n    z += x * y\\n    z %= mod\\n    x *= 10\\n    x %= mod\\nprint(ans)\", \"import sys\\n\\ndef minp():\\n\\treturn sys.stdin.readline().strip()\\n\\ndef mint():\\n\\treturn int(minp())\\n\\ndef mints():\\n\\treturn list(map(int, minp().split()))\\n\\n#from math import ceil\\n\\ndef solve():\\n\\tMOD = int(1e9+7)\\n\\ts = minp()\\n\\tn = len(s)\\n\\tp = [0]*(n+1)\\n\\tpp = [1]*(n+1)\\n\\tp10 = 1\\n\\tfor i in range(1,n+1):\\n\\t\\tp[i] = (p[i-1]+p10*i)%MOD\\n\\t\\tpp[i] = p10\\n\\t\\tp10 = (p10*10)%MOD\\n\\tres = (int(s[0])*p[n-1])%MOD\\n\\t#print(res)\\n\\tfor i in range(1,n):\\n\\t\\t#print(int(s[i])*pp[n-i],int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))\\n\\t\\tres = (res+int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))%MOD\\n\\tprint(res)\\n\\n#for i in range(mint()):\\nsolve()\\n\", \"import sys\\ninput = sys.stdin.readline\\nfrom itertools import accumulate\\n\\nS=input().strip()\\nmod=10**9+7\\nLEN=len(S)\\n\\nANS=[0]*(LEN+1)\\nANS2=[0]*(LEN+1)\\nANS3=[0]*(LEN+1)\\n\\nfor i in range(LEN):\\n    x=int(S[LEN-1-i])\\n    \\n    k=LEN-i-1\\n    p=k*(k+1)//2\\n    ANS[i]+=x*p\\n\\n    \\n    ANS2[0]+=x\\n    ANS2[i]-=x\\n    ANS3[i]-=i*x\\n\\nANS2=list(accumulate(ANS2))\\nfor i in range(LEN+1):\\n    ANS2[i]+=ANS3[i]\\nANS2=list(accumulate(ANS2))\\n\\n#print(ANS)\\n#print(ANS2)\\n\\nA=0\\nfor i in range(LEN):\\n    A+=(ANS[i]+ANS2[i])*pow(10,i,mod)\\n    A%=mod\\n\\nprint(A)\\n\", \"s=input()\\nans=0\\nmod=10**9+7\\nn=len(s)\\nps=[0]\\ncp=1\\nfor i in range(n-1,-1,-1):\\n\\tps.append((ps[-1]+int(s[i])*cp)%mod)\\n\\tcp=cp*10%mod\\nps.reverse()\\nprefs=0\\nlastpref=0\\nfor i in range(n):\\n\\tnextdigs=ps[i+1]\\n\\tans=(ans+prefs*pow(10,n-i-1,mod)%mod+nextdigs*(i+1))%mod\\n\\tlastpref=(lastpref*10+int(s[i]))%mod\\n\\tprefs=(prefs+lastpref)%mod\\nprint(ans)\", \"s = [int(c) for c in input()][::-1]\\nn = len(s)\\n\\nmod = 1000000007\\ndef inv(x):\\n    return pow(x, mod - 2, mod)\\nteninv = inv(10)\\n\\nP = [0]\\np = 1\\nfor x in s:\\n    P.append((P[-1] + x*p) % mod)\\n    p = p*10 % mod\\n\\nQ = [0]\\nfor i in range(n+1):\\n    Q.append((Q[-1] + P[i]*pow(teninv, i, mod))%mod) \\n\\ns = 0\\nfor l in range(n):\\n    first = P[l] - P[0]\\n    s += (n - l)*first % mod\\n    s += P[n] * inv(9) % mod * (1 - inv(pow(10, n-l, mod))) % mod\\n    d = Q[n+1] - Q[l+1]\\n\\n    s = (s - d*inv(pow(teninv,l,mod))%mod) % mod\\nprint(s%mod)\\n\", \"def inv(x):\\n    return pow(x,1000000005,1000000007)\\ns=input()\\nans=0\\nn=len(s)\\nfor i in range(n-1,-1,-1):\\n    z=pow(10,n-1-i,1000000007)*int(s[i])\\n    z=z*((i)*(i+1))//2\\n    ans+=z\\n    ans%=1000000007\\n    k=n-1-i\\n    op=0\\n    op+=(pow(10,k,1000000007)*(9*k-1))\\n    op%=1000000007\\n    op+=1\\n    op=op*inv(81)\\n    op%=1000000007\\n    op=op*int(s[i])\\n    ans+=op\\n    ans%=1000000007\\nprint(ans)\\n\", \"import sys\\nimport random\\nfrom fractions import Fraction\\nfrom math import *\\n \\ndef input():\\n    return sys.stdin.readline().strip()\\n \\ndef iinput():\\n    return int(input())\\n\\ndef finput():\\n    return float(input())\\n\\ndef tinput():\\n    return input().split()\\n\\ndef linput():\\n    return list(input())\\n \\ndef rinput():\\n    return list(map(int, tinput()))\\n\\ndef fiinput():\\n    return list(map(float, tinput()))\\n \\ndef rlinput():\\n    return list(map(int, input().split()))\\ndef trinput():\\n    return tuple(rinput())\\n\\ndef srlinput():\\n    return sorted(list(map(int, input().split())))\\n\\ndef NOYES(fl):\\n    if fl:\\n        print(\\\"NO\\\")\\n    else:\\n        print(\\\"YES\\\")\\ndef YESNO(fl):\\n    if fl:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n    \\ndef main():\\n    #n = iinput()\\n    #k = iinput() \\n    #m = iinput() \\n    #n = int(sys.stdin.readline().strip()) \\n    #n, k = rinput()\\n    #n, m = rinput()\\n    #m, k = rinput()\\n    #n, k, m = rinput()\\n    #n, m, k = rinput()\\n    #k, n, m = rinput()\\n    #k, m, n = rinput() \\n    #m, k, n = rinput()\\n    #m, n, k = rinput()\\n    #q = rlinput()\\n    #q = linput()\\n    s = input(); n = len(s)\\n    mod = int(1e9) + 7\\n    q = [0 for i in range(100100)]\\n    w = [0 for i in range(100100)]\\n    q[0] = 1; w[0] = 1; res = 1\\n    for i in range(1, 100100):\\n        res = (res * 10) % mod\\n        q[i] = q[i - 1] + res\\n        q[i] %= mod\\n        w[i] = w[i - 1] * 10\\n        w[i] %= mod\\n    l, res, r = 0, 0, 0\\n    for i in range(n - 1):\\n        l *= 10\\n        l += int(s[i])\\n        l %= mod\\n        res += l * q[n - 2 - i] % mod\\n        res %= mod\\n    for i in range(n - 1, 0, -1):\\n        r += w[n - 1 - i] * int(s[i])\\n        r %= mod\\n        res += r * i % mod\\n        res %= mod\\n    print(res)\\n    \\n    \\n        \\n\\n            \\n        \\n    \\n                \\n    \\n    \\n    \\n            \\n    \\n        \\n    \\n\\nfor i in range(1):\\n    main()\\n\"]",
        "difficulty": "interview",
        "input": "107\n",
        "output": "42\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1422/C"
    },
    {
        "id": 231,
        "task_id": 1663,
        "test_case_id": 2,
        "question": "Sometimes it is not easy to come to an agreement in a bargain. Right now Sasha and Vova can't come to an agreement: Sasha names a price as high as possible, then Vova wants to remove as many digits from the price as possible. In more details, Sasha names some integer price $n$, Vova removes a non-empty substring of (consecutive) digits from the price, the remaining digits close the gap, and the resulting integer is the price.\n\nFor example, is Sasha names $1213121$, Vova can remove the substring $1312$, and the result is $121$.\n\nIt is allowed for result to contain leading zeros. If Vova removes all digits, the price is considered to be $0$.\n\nSasha wants to come up with some constraints so that Vova can't just remove all digits, but he needs some arguments supporting the constraints. To start with, he wants to compute the sum of all possible resulting prices after Vova's move.\n\nHelp Sasha to compute this sum. Since the answer can be very large, print it modulo $10^9 + 7$.\n\n\n-----Input-----\n\nThe first and only line contains a single integer $n$ ($1 \\le n < 10^{10^5}$).\n\n\n-----Output-----\n\nIn the only line print the required sum modulo $10^9 + 7$.\n\n\n-----Examples-----\nInput\n107\n\nOutput\n42\n\nInput\n100500100500\n\nOutput\n428101984\n\n\n\n-----Note-----\n\nConsider the first example.\n\nVova can choose to remove $1$, $0$, $7$, $10$, $07$, or $107$. The results are $07$, $17$, $10$, $7$, $1$, $0$. Their sum is $42$.",
        "solutions": "[\"s=input();M=10**9+7;o=u=v=0;n=len(s)\\nfor i in range(n):c=int(s[i]);u+=v;v=(10*v+c)%M;o+=pow(10,n-i-1,M)*((i*i+i)//2*c+u)\\nprint(o%M)\", \"mod = int(1e9+7)\\ns = input()\\nn = len(s)\\npref = [0] * (n+1)\\nfor i in range(n):\\n    pref[i+1] = (int(s[i]) + pref[i]*10) % mod\\nfor i in range(n):\\n    pref[i+1] = (pref[i+1] + pref[i]) % mod\\n\\nres = 0\\nacc = 0\\nfor i in range(n, 0, -1):\\n    res += pref[i-1] * pow(10, n-i, mod) + i*acc\\n    res %= mod\\n    acc = acc + int(s[i-1]) * pow(10, n-i, mod) % mod\\nprint(res)\\n\", \"import sys\\nz=sys.stdin.readline\\nM=10**9+7\\nn=[*map(int,z().strip())]\\nl=len(n)\\np=[0]\\nfor i in range(l):p.append(p[-1]+n[i])\\ns=0\\nv=(l*l-l)//2\\nd=1\\nfor i in range(1,l):\\n    r=p[l-i]*i+v*n[l-i]\\n    s=(s+r*d)%M\\n    d=(d*10)%M\\n    v-=l-i\\nprint(s)\", \"n = input().strip()\\nM = 1000000007\\nl = len(n)\\n\\na = 0\\nb = 0\\nfor i,c in enumerate(n[::-1]):\\n\\tc = int(c)\\n\\tp = l - 1 - i\\n\\ta += p * (p + 1) // 2 * c * pow(10, i, M)\\n\\ta += b * c\\n\\ta %= M\\n\\tb += (i+1) * pow(10, i, M)\\n\\tb %= M\\nprint(a)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nMOD = 10 ** 9 + 7\\nN = 10 ** 5 + 100\\n\\nfact = [0 for _ in range(N)]\\ninvfact = [0 for _ in range(N)]\\nfact[0] = 1\\nfor i in range(1, N):\\n    fact[i] = fact[i - 1] * i % MOD\\n\\ninvfact[N - 1] = pow(fact[N - 1], MOD - 2, MOD)\\n\\nfor i in range(N - 2, -1, -1):\\n    invfact[i] = invfact[i + 1] * (i + 1) % MOD\\ndef nCk(n, k):\\n    if k < 0 or n < k:\\n        return 0\\n    else:\\n        return fact[n] * invfact[k] * invfact[n - k] % MOD\\n\\ndef main():\\n    n = input().strip()\\n    ans = 0\\n    l = len(n)\\n    plus = 0\\n    plus2 = 1\\n    plus3 = 1\\n    for i, str_num in enumerate(n[::-1]):\\n        num = int(str_num)\\n        j = l - i - 1\\n        ans += nCk(j + 1, 2) * pow(10, i, MOD) * num\\n        ans %= MOD\\n        ans += num * plus\\n        ans %= MOD\\n        plus += plus2 * plus3\\n        plus2 *= 10\\n        plus3 += 1\\n        plus %= MOD\\n        plus2 %= MOD\\n        plus3 %= MOD\\n\\n    print(ans)\\n        \\n        \\nmain()\\n\", \"n = list(input())\\nl = len(n)\\nx = 1\\ny = 0\\nz = 0\\nmod = pow(10, 9) + 7\\nans = 0\\nfor i in range(l):\\n    m = int(n[l - i - 1])\\n    ans += x * m * ((l - i) * (l - i - 1) // 2)\\n    ans %= mod\\n    ans += z * m\\n    ans %= mod\\n    y += 1\\n    z += x * y\\n    z %= mod\\n    x *= 10\\n    x %= mod\\nprint(ans)\", \"import sys\\n\\ndef minp():\\n\\treturn sys.stdin.readline().strip()\\n\\ndef mint():\\n\\treturn int(minp())\\n\\ndef mints():\\n\\treturn list(map(int, minp().split()))\\n\\n#from math import ceil\\n\\ndef solve():\\n\\tMOD = int(1e9+7)\\n\\ts = minp()\\n\\tn = len(s)\\n\\tp = [0]*(n+1)\\n\\tpp = [1]*(n+1)\\n\\tp10 = 1\\n\\tfor i in range(1,n+1):\\n\\t\\tp[i] = (p[i-1]+p10*i)%MOD\\n\\t\\tpp[i] = p10\\n\\t\\tp10 = (p10*10)%MOD\\n\\tres = (int(s[0])*p[n-1])%MOD\\n\\t#print(res)\\n\\tfor i in range(1,n):\\n\\t\\t#print(int(s[i])*pp[n-i],int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))\\n\\t\\tres = (res+int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))%MOD\\n\\tprint(res)\\n\\n#for i in range(mint()):\\nsolve()\\n\", \"import sys\\ninput = sys.stdin.readline\\nfrom itertools import accumulate\\n\\nS=input().strip()\\nmod=10**9+7\\nLEN=len(S)\\n\\nANS=[0]*(LEN+1)\\nANS2=[0]*(LEN+1)\\nANS3=[0]*(LEN+1)\\n\\nfor i in range(LEN):\\n    x=int(S[LEN-1-i])\\n    \\n    k=LEN-i-1\\n    p=k*(k+1)//2\\n    ANS[i]+=x*p\\n\\n    \\n    ANS2[0]+=x\\n    ANS2[i]-=x\\n    ANS3[i]-=i*x\\n\\nANS2=list(accumulate(ANS2))\\nfor i in range(LEN+1):\\n    ANS2[i]+=ANS3[i]\\nANS2=list(accumulate(ANS2))\\n\\n#print(ANS)\\n#print(ANS2)\\n\\nA=0\\nfor i in range(LEN):\\n    A+=(ANS[i]+ANS2[i])*pow(10,i,mod)\\n    A%=mod\\n\\nprint(A)\\n\", \"s=input()\\nans=0\\nmod=10**9+7\\nn=len(s)\\nps=[0]\\ncp=1\\nfor i in range(n-1,-1,-1):\\n\\tps.append((ps[-1]+int(s[i])*cp)%mod)\\n\\tcp=cp*10%mod\\nps.reverse()\\nprefs=0\\nlastpref=0\\nfor i in range(n):\\n\\tnextdigs=ps[i+1]\\n\\tans=(ans+prefs*pow(10,n-i-1,mod)%mod+nextdigs*(i+1))%mod\\n\\tlastpref=(lastpref*10+int(s[i]))%mod\\n\\tprefs=(prefs+lastpref)%mod\\nprint(ans)\", \"s = [int(c) for c in input()][::-1]\\nn = len(s)\\n\\nmod = 1000000007\\ndef inv(x):\\n    return pow(x, mod - 2, mod)\\nteninv = inv(10)\\n\\nP = [0]\\np = 1\\nfor x in s:\\n    P.append((P[-1] + x*p) % mod)\\n    p = p*10 % mod\\n\\nQ = [0]\\nfor i in range(n+1):\\n    Q.append((Q[-1] + P[i]*pow(teninv, i, mod))%mod) \\n\\ns = 0\\nfor l in range(n):\\n    first = P[l] - P[0]\\n    s += (n - l)*first % mod\\n    s += P[n] * inv(9) % mod * (1 - inv(pow(10, n-l, mod))) % mod\\n    d = Q[n+1] - Q[l+1]\\n\\n    s = (s - d*inv(pow(teninv,l,mod))%mod) % mod\\nprint(s%mod)\\n\", \"def inv(x):\\n    return pow(x,1000000005,1000000007)\\ns=input()\\nans=0\\nn=len(s)\\nfor i in range(n-1,-1,-1):\\n    z=pow(10,n-1-i,1000000007)*int(s[i])\\n    z=z*((i)*(i+1))//2\\n    ans+=z\\n    ans%=1000000007\\n    k=n-1-i\\n    op=0\\n    op+=(pow(10,k,1000000007)*(9*k-1))\\n    op%=1000000007\\n    op+=1\\n    op=op*inv(81)\\n    op%=1000000007\\n    op=op*int(s[i])\\n    ans+=op\\n    ans%=1000000007\\nprint(ans)\\n\", \"import sys\\nimport random\\nfrom fractions import Fraction\\nfrom math import *\\n \\ndef input():\\n    return sys.stdin.readline().strip()\\n \\ndef iinput():\\n    return int(input())\\n\\ndef finput():\\n    return float(input())\\n\\ndef tinput():\\n    return input().split()\\n\\ndef linput():\\n    return list(input())\\n \\ndef rinput():\\n    return list(map(int, tinput()))\\n\\ndef fiinput():\\n    return list(map(float, tinput()))\\n \\ndef rlinput():\\n    return list(map(int, input().split()))\\ndef trinput():\\n    return tuple(rinput())\\n\\ndef srlinput():\\n    return sorted(list(map(int, input().split())))\\n\\ndef NOYES(fl):\\n    if fl:\\n        print(\\\"NO\\\")\\n    else:\\n        print(\\\"YES\\\")\\ndef YESNO(fl):\\n    if fl:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n    \\ndef main():\\n    #n = iinput()\\n    #k = iinput() \\n    #m = iinput() \\n    #n = int(sys.stdin.readline().strip()) \\n    #n, k = rinput()\\n    #n, m = rinput()\\n    #m, k = rinput()\\n    #n, k, m = rinput()\\n    #n, m, k = rinput()\\n    #k, n, m = rinput()\\n    #k, m, n = rinput() \\n    #m, k, n = rinput()\\n    #m, n, k = rinput()\\n    #q = rlinput()\\n    #q = linput()\\n    s = input(); n = len(s)\\n    mod = int(1e9) + 7\\n    q = [0 for i in range(100100)]\\n    w = [0 for i in range(100100)]\\n    q[0] = 1; w[0] = 1; res = 1\\n    for i in range(1, 100100):\\n        res = (res * 10) % mod\\n        q[i] = q[i - 1] + res\\n        q[i] %= mod\\n        w[i] = w[i - 1] * 10\\n        w[i] %= mod\\n    l, res, r = 0, 0, 0\\n    for i in range(n - 1):\\n        l *= 10\\n        l += int(s[i])\\n        l %= mod\\n        res += l * q[n - 2 - i] % mod\\n        res %= mod\\n    for i in range(n - 1, 0, -1):\\n        r += w[n - 1 - i] * int(s[i])\\n        r %= mod\\n        res += r * i % mod\\n        res %= mod\\n    print(res)\\n    \\n    \\n        \\n\\n            \\n        \\n    \\n                \\n    \\n    \\n    \\n            \\n    \\n        \\n    \\n\\nfor i in range(1):\\n    main()\\n\"]",
        "difficulty": "interview",
        "input": "100500100500\n",
        "output": "428101984\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1422/C"
    },
    {
        "id": 232,
        "task_id": 1663,
        "test_case_id": 3,
        "question": "Sometimes it is not easy to come to an agreement in a bargain. Right now Sasha and Vova can't come to an agreement: Sasha names a price as high as possible, then Vova wants to remove as many digits from the price as possible. In more details, Sasha names some integer price $n$, Vova removes a non-empty substring of (consecutive) digits from the price, the remaining digits close the gap, and the resulting integer is the price.\n\nFor example, is Sasha names $1213121$, Vova can remove the substring $1312$, and the result is $121$.\n\nIt is allowed for result to contain leading zeros. If Vova removes all digits, the price is considered to be $0$.\n\nSasha wants to come up with some constraints so that Vova can't just remove all digits, but he needs some arguments supporting the constraints. To start with, he wants to compute the sum of all possible resulting prices after Vova's move.\n\nHelp Sasha to compute this sum. Since the answer can be very large, print it modulo $10^9 + 7$.\n\n\n-----Input-----\n\nThe first and only line contains a single integer $n$ ($1 \\le n < 10^{10^5}$).\n\n\n-----Output-----\n\nIn the only line print the required sum modulo $10^9 + 7$.\n\n\n-----Examples-----\nInput\n107\n\nOutput\n42\n\nInput\n100500100500\n\nOutput\n428101984\n\n\n\n-----Note-----\n\nConsider the first example.\n\nVova can choose to remove $1$, $0$, $7$, $10$, $07$, or $107$. The results are $07$, $17$, $10$, $7$, $1$, $0$. Their sum is $42$.",
        "solutions": "[\"s=input();M=10**9+7;o=u=v=0;n=len(s)\\nfor i in range(n):c=int(s[i]);u+=v;v=(10*v+c)%M;o+=pow(10,n-i-1,M)*((i*i+i)//2*c+u)\\nprint(o%M)\", \"mod = int(1e9+7)\\ns = input()\\nn = len(s)\\npref = [0] * (n+1)\\nfor i in range(n):\\n    pref[i+1] = (int(s[i]) + pref[i]*10) % mod\\nfor i in range(n):\\n    pref[i+1] = (pref[i+1] + pref[i]) % mod\\n\\nres = 0\\nacc = 0\\nfor i in range(n, 0, -1):\\n    res += pref[i-1] * pow(10, n-i, mod) + i*acc\\n    res %= mod\\n    acc = acc + int(s[i-1]) * pow(10, n-i, mod) % mod\\nprint(res)\\n\", \"import sys\\nz=sys.stdin.readline\\nM=10**9+7\\nn=[*map(int,z().strip())]\\nl=len(n)\\np=[0]\\nfor i in range(l):p.append(p[-1]+n[i])\\ns=0\\nv=(l*l-l)//2\\nd=1\\nfor i in range(1,l):\\n    r=p[l-i]*i+v*n[l-i]\\n    s=(s+r*d)%M\\n    d=(d*10)%M\\n    v-=l-i\\nprint(s)\", \"n = input().strip()\\nM = 1000000007\\nl = len(n)\\n\\na = 0\\nb = 0\\nfor i,c in enumerate(n[::-1]):\\n\\tc = int(c)\\n\\tp = l - 1 - i\\n\\ta += p * (p + 1) // 2 * c * pow(10, i, M)\\n\\ta += b * c\\n\\ta %= M\\n\\tb += (i+1) * pow(10, i, M)\\n\\tb %= M\\nprint(a)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nMOD = 10 ** 9 + 7\\nN = 10 ** 5 + 100\\n\\nfact = [0 for _ in range(N)]\\ninvfact = [0 for _ in range(N)]\\nfact[0] = 1\\nfor i in range(1, N):\\n    fact[i] = fact[i - 1] * i % MOD\\n\\ninvfact[N - 1] = pow(fact[N - 1], MOD - 2, MOD)\\n\\nfor i in range(N - 2, -1, -1):\\n    invfact[i] = invfact[i + 1] * (i + 1) % MOD\\ndef nCk(n, k):\\n    if k < 0 or n < k:\\n        return 0\\n    else:\\n        return fact[n] * invfact[k] * invfact[n - k] % MOD\\n\\ndef main():\\n    n = input().strip()\\n    ans = 0\\n    l = len(n)\\n    plus = 0\\n    plus2 = 1\\n    plus3 = 1\\n    for i, str_num in enumerate(n[::-1]):\\n        num = int(str_num)\\n        j = l - i - 1\\n        ans += nCk(j + 1, 2) * pow(10, i, MOD) * num\\n        ans %= MOD\\n        ans += num * plus\\n        ans %= MOD\\n        plus += plus2 * plus3\\n        plus2 *= 10\\n        plus3 += 1\\n        plus %= MOD\\n        plus2 %= MOD\\n        plus3 %= MOD\\n\\n    print(ans)\\n        \\n        \\nmain()\\n\", \"n = list(input())\\nl = len(n)\\nx = 1\\ny = 0\\nz = 0\\nmod = pow(10, 9) + 7\\nans = 0\\nfor i in range(l):\\n    m = int(n[l - i - 1])\\n    ans += x * m * ((l - i) * (l - i - 1) // 2)\\n    ans %= mod\\n    ans += z * m\\n    ans %= mod\\n    y += 1\\n    z += x * y\\n    z %= mod\\n    x *= 10\\n    x %= mod\\nprint(ans)\", \"import sys\\n\\ndef minp():\\n\\treturn sys.stdin.readline().strip()\\n\\ndef mint():\\n\\treturn int(minp())\\n\\ndef mints():\\n\\treturn list(map(int, minp().split()))\\n\\n#from math import ceil\\n\\ndef solve():\\n\\tMOD = int(1e9+7)\\n\\ts = minp()\\n\\tn = len(s)\\n\\tp = [0]*(n+1)\\n\\tpp = [1]*(n+1)\\n\\tp10 = 1\\n\\tfor i in range(1,n+1):\\n\\t\\tp[i] = (p[i-1]+p10*i)%MOD\\n\\t\\tpp[i] = p10\\n\\t\\tp10 = (p10*10)%MOD\\n\\tres = (int(s[0])*p[n-1])%MOD\\n\\t#print(res)\\n\\tfor i in range(1,n):\\n\\t\\t#print(int(s[i])*pp[n-i],int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))\\n\\t\\tres = (res+int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))%MOD\\n\\tprint(res)\\n\\n#for i in range(mint()):\\nsolve()\\n\", \"import sys\\ninput = sys.stdin.readline\\nfrom itertools import accumulate\\n\\nS=input().strip()\\nmod=10**9+7\\nLEN=len(S)\\n\\nANS=[0]*(LEN+1)\\nANS2=[0]*(LEN+1)\\nANS3=[0]*(LEN+1)\\n\\nfor i in range(LEN):\\n    x=int(S[LEN-1-i])\\n    \\n    k=LEN-i-1\\n    p=k*(k+1)//2\\n    ANS[i]+=x*p\\n\\n    \\n    ANS2[0]+=x\\n    ANS2[i]-=x\\n    ANS3[i]-=i*x\\n\\nANS2=list(accumulate(ANS2))\\nfor i in range(LEN+1):\\n    ANS2[i]+=ANS3[i]\\nANS2=list(accumulate(ANS2))\\n\\n#print(ANS)\\n#print(ANS2)\\n\\nA=0\\nfor i in range(LEN):\\n    A+=(ANS[i]+ANS2[i])*pow(10,i,mod)\\n    A%=mod\\n\\nprint(A)\\n\", \"s=input()\\nans=0\\nmod=10**9+7\\nn=len(s)\\nps=[0]\\ncp=1\\nfor i in range(n-1,-1,-1):\\n\\tps.append((ps[-1]+int(s[i])*cp)%mod)\\n\\tcp=cp*10%mod\\nps.reverse()\\nprefs=0\\nlastpref=0\\nfor i in range(n):\\n\\tnextdigs=ps[i+1]\\n\\tans=(ans+prefs*pow(10,n-i-1,mod)%mod+nextdigs*(i+1))%mod\\n\\tlastpref=(lastpref*10+int(s[i]))%mod\\n\\tprefs=(prefs+lastpref)%mod\\nprint(ans)\", \"s = [int(c) for c in input()][::-1]\\nn = len(s)\\n\\nmod = 1000000007\\ndef inv(x):\\n    return pow(x, mod - 2, mod)\\nteninv = inv(10)\\n\\nP = [0]\\np = 1\\nfor x in s:\\n    P.append((P[-1] + x*p) % mod)\\n    p = p*10 % mod\\n\\nQ = [0]\\nfor i in range(n+1):\\n    Q.append((Q[-1] + P[i]*pow(teninv, i, mod))%mod) \\n\\ns = 0\\nfor l in range(n):\\n    first = P[l] - P[0]\\n    s += (n - l)*first % mod\\n    s += P[n] * inv(9) % mod * (1 - inv(pow(10, n-l, mod))) % mod\\n    d = Q[n+1] - Q[l+1]\\n\\n    s = (s - d*inv(pow(teninv,l,mod))%mod) % mod\\nprint(s%mod)\\n\", \"def inv(x):\\n    return pow(x,1000000005,1000000007)\\ns=input()\\nans=0\\nn=len(s)\\nfor i in range(n-1,-1,-1):\\n    z=pow(10,n-1-i,1000000007)*int(s[i])\\n    z=z*((i)*(i+1))//2\\n    ans+=z\\n    ans%=1000000007\\n    k=n-1-i\\n    op=0\\n    op+=(pow(10,k,1000000007)*(9*k-1))\\n    op%=1000000007\\n    op+=1\\n    op=op*inv(81)\\n    op%=1000000007\\n    op=op*int(s[i])\\n    ans+=op\\n    ans%=1000000007\\nprint(ans)\\n\", \"import sys\\nimport random\\nfrom fractions import Fraction\\nfrom math import *\\n \\ndef input():\\n    return sys.stdin.readline().strip()\\n \\ndef iinput():\\n    return int(input())\\n\\ndef finput():\\n    return float(input())\\n\\ndef tinput():\\n    return input().split()\\n\\ndef linput():\\n    return list(input())\\n \\ndef rinput():\\n    return list(map(int, tinput()))\\n\\ndef fiinput():\\n    return list(map(float, tinput()))\\n \\ndef rlinput():\\n    return list(map(int, input().split()))\\ndef trinput():\\n    return tuple(rinput())\\n\\ndef srlinput():\\n    return sorted(list(map(int, input().split())))\\n\\ndef NOYES(fl):\\n    if fl:\\n        print(\\\"NO\\\")\\n    else:\\n        print(\\\"YES\\\")\\ndef YESNO(fl):\\n    if fl:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n    \\ndef main():\\n    #n = iinput()\\n    #k = iinput() \\n    #m = iinput() \\n    #n = int(sys.stdin.readline().strip()) \\n    #n, k = rinput()\\n    #n, m = rinput()\\n    #m, k = rinput()\\n    #n, k, m = rinput()\\n    #n, m, k = rinput()\\n    #k, n, m = rinput()\\n    #k, m, n = rinput() \\n    #m, k, n = rinput()\\n    #m, n, k = rinput()\\n    #q = rlinput()\\n    #q = linput()\\n    s = input(); n = len(s)\\n    mod = int(1e9) + 7\\n    q = [0 for i in range(100100)]\\n    w = [0 for i in range(100100)]\\n    q[0] = 1; w[0] = 1; res = 1\\n    for i in range(1, 100100):\\n        res = (res * 10) % mod\\n        q[i] = q[i - 1] + res\\n        q[i] %= mod\\n        w[i] = w[i - 1] * 10\\n        w[i] %= mod\\n    l, res, r = 0, 0, 0\\n    for i in range(n - 1):\\n        l *= 10\\n        l += int(s[i])\\n        l %= mod\\n        res += l * q[n - 2 - i] % mod\\n        res %= mod\\n    for i in range(n - 1, 0, -1):\\n        r += w[n - 1 - i] * int(s[i])\\n        r %= mod\\n        res += r * i % mod\\n        res %= mod\\n    print(res)\\n    \\n    \\n        \\n\\n            \\n        \\n    \\n                \\n    \\n    \\n    \\n            \\n    \\n        \\n    \\n\\nfor i in range(1):\\n    main()\\n\"]",
        "difficulty": "interview",
        "input": "1\n",
        "output": "0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1422/C"
    },
    {
        "id": 233,
        "task_id": 1663,
        "test_case_id": 4,
        "question": "Sometimes it is not easy to come to an agreement in a bargain. Right now Sasha and Vova can't come to an agreement: Sasha names a price as high as possible, then Vova wants to remove as many digits from the price as possible. In more details, Sasha names some integer price $n$, Vova removes a non-empty substring of (consecutive) digits from the price, the remaining digits close the gap, and the resulting integer is the price.\n\nFor example, is Sasha names $1213121$, Vova can remove the substring $1312$, and the result is $121$.\n\nIt is allowed for result to contain leading zeros. If Vova removes all digits, the price is considered to be $0$.\n\nSasha wants to come up with some constraints so that Vova can't just remove all digits, but he needs some arguments supporting the constraints. To start with, he wants to compute the sum of all possible resulting prices after Vova's move.\n\nHelp Sasha to compute this sum. Since the answer can be very large, print it modulo $10^9 + 7$.\n\n\n-----Input-----\n\nThe first and only line contains a single integer $n$ ($1 \\le n < 10^{10^5}$).\n\n\n-----Output-----\n\nIn the only line print the required sum modulo $10^9 + 7$.\n\n\n-----Examples-----\nInput\n107\n\nOutput\n42\n\nInput\n100500100500\n\nOutput\n428101984\n\n\n\n-----Note-----\n\nConsider the first example.\n\nVova can choose to remove $1$, $0$, $7$, $10$, $07$, or $107$. The results are $07$, $17$, $10$, $7$, $1$, $0$. Their sum is $42$.",
        "solutions": "[\"s=input();M=10**9+7;o=u=v=0;n=len(s)\\nfor i in range(n):c=int(s[i]);u+=v;v=(10*v+c)%M;o+=pow(10,n-i-1,M)*((i*i+i)//2*c+u)\\nprint(o%M)\", \"mod = int(1e9+7)\\ns = input()\\nn = len(s)\\npref = [0] * (n+1)\\nfor i in range(n):\\n    pref[i+1] = (int(s[i]) + pref[i]*10) % mod\\nfor i in range(n):\\n    pref[i+1] = (pref[i+1] + pref[i]) % mod\\n\\nres = 0\\nacc = 0\\nfor i in range(n, 0, -1):\\n    res += pref[i-1] * pow(10, n-i, mod) + i*acc\\n    res %= mod\\n    acc = acc + int(s[i-1]) * pow(10, n-i, mod) % mod\\nprint(res)\\n\", \"import sys\\nz=sys.stdin.readline\\nM=10**9+7\\nn=[*map(int,z().strip())]\\nl=len(n)\\np=[0]\\nfor i in range(l):p.append(p[-1]+n[i])\\ns=0\\nv=(l*l-l)//2\\nd=1\\nfor i in range(1,l):\\n    r=p[l-i]*i+v*n[l-i]\\n    s=(s+r*d)%M\\n    d=(d*10)%M\\n    v-=l-i\\nprint(s)\", \"n = input().strip()\\nM = 1000000007\\nl = len(n)\\n\\na = 0\\nb = 0\\nfor i,c in enumerate(n[::-1]):\\n\\tc = int(c)\\n\\tp = l - 1 - i\\n\\ta += p * (p + 1) // 2 * c * pow(10, i, M)\\n\\ta += b * c\\n\\ta %= M\\n\\tb += (i+1) * pow(10, i, M)\\n\\tb %= M\\nprint(a)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nMOD = 10 ** 9 + 7\\nN = 10 ** 5 + 100\\n\\nfact = [0 for _ in range(N)]\\ninvfact = [0 for _ in range(N)]\\nfact[0] = 1\\nfor i in range(1, N):\\n    fact[i] = fact[i - 1] * i % MOD\\n\\ninvfact[N - 1] = pow(fact[N - 1], MOD - 2, MOD)\\n\\nfor i in range(N - 2, -1, -1):\\n    invfact[i] = invfact[i + 1] * (i + 1) % MOD\\ndef nCk(n, k):\\n    if k < 0 or n < k:\\n        return 0\\n    else:\\n        return fact[n] * invfact[k] * invfact[n - k] % MOD\\n\\ndef main():\\n    n = input().strip()\\n    ans = 0\\n    l = len(n)\\n    plus = 0\\n    plus2 = 1\\n    plus3 = 1\\n    for i, str_num in enumerate(n[::-1]):\\n        num = int(str_num)\\n        j = l - i - 1\\n        ans += nCk(j + 1, 2) * pow(10, i, MOD) * num\\n        ans %= MOD\\n        ans += num * plus\\n        ans %= MOD\\n        plus += plus2 * plus3\\n        plus2 *= 10\\n        plus3 += 1\\n        plus %= MOD\\n        plus2 %= MOD\\n        plus3 %= MOD\\n\\n    print(ans)\\n        \\n        \\nmain()\\n\", \"n = list(input())\\nl = len(n)\\nx = 1\\ny = 0\\nz = 0\\nmod = pow(10, 9) + 7\\nans = 0\\nfor i in range(l):\\n    m = int(n[l - i - 1])\\n    ans += x * m * ((l - i) * (l - i - 1) // 2)\\n    ans %= mod\\n    ans += z * m\\n    ans %= mod\\n    y += 1\\n    z += x * y\\n    z %= mod\\n    x *= 10\\n    x %= mod\\nprint(ans)\", \"import sys\\n\\ndef minp():\\n\\treturn sys.stdin.readline().strip()\\n\\ndef mint():\\n\\treturn int(minp())\\n\\ndef mints():\\n\\treturn list(map(int, minp().split()))\\n\\n#from math import ceil\\n\\ndef solve():\\n\\tMOD = int(1e9+7)\\n\\ts = minp()\\n\\tn = len(s)\\n\\tp = [0]*(n+1)\\n\\tpp = [1]*(n+1)\\n\\tp10 = 1\\n\\tfor i in range(1,n+1):\\n\\t\\tp[i] = (p[i-1]+p10*i)%MOD\\n\\t\\tpp[i] = p10\\n\\t\\tp10 = (p10*10)%MOD\\n\\tres = (int(s[0])*p[n-1])%MOD\\n\\t#print(res)\\n\\tfor i in range(1,n):\\n\\t\\t#print(int(s[i])*pp[n-i],int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))\\n\\t\\tres = (res+int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))%MOD\\n\\tprint(res)\\n\\n#for i in range(mint()):\\nsolve()\\n\", \"import sys\\ninput = sys.stdin.readline\\nfrom itertools import accumulate\\n\\nS=input().strip()\\nmod=10**9+7\\nLEN=len(S)\\n\\nANS=[0]*(LEN+1)\\nANS2=[0]*(LEN+1)\\nANS3=[0]*(LEN+1)\\n\\nfor i in range(LEN):\\n    x=int(S[LEN-1-i])\\n    \\n    k=LEN-i-1\\n    p=k*(k+1)//2\\n    ANS[i]+=x*p\\n\\n    \\n    ANS2[0]+=x\\n    ANS2[i]-=x\\n    ANS3[i]-=i*x\\n\\nANS2=list(accumulate(ANS2))\\nfor i in range(LEN+1):\\n    ANS2[i]+=ANS3[i]\\nANS2=list(accumulate(ANS2))\\n\\n#print(ANS)\\n#print(ANS2)\\n\\nA=0\\nfor i in range(LEN):\\n    A+=(ANS[i]+ANS2[i])*pow(10,i,mod)\\n    A%=mod\\n\\nprint(A)\\n\", \"s=input()\\nans=0\\nmod=10**9+7\\nn=len(s)\\nps=[0]\\ncp=1\\nfor i in range(n-1,-1,-1):\\n\\tps.append((ps[-1]+int(s[i])*cp)%mod)\\n\\tcp=cp*10%mod\\nps.reverse()\\nprefs=0\\nlastpref=0\\nfor i in range(n):\\n\\tnextdigs=ps[i+1]\\n\\tans=(ans+prefs*pow(10,n-i-1,mod)%mod+nextdigs*(i+1))%mod\\n\\tlastpref=(lastpref*10+int(s[i]))%mod\\n\\tprefs=(prefs+lastpref)%mod\\nprint(ans)\", \"s = [int(c) for c in input()][::-1]\\nn = len(s)\\n\\nmod = 1000000007\\ndef inv(x):\\n    return pow(x, mod - 2, mod)\\nteninv = inv(10)\\n\\nP = [0]\\np = 1\\nfor x in s:\\n    P.append((P[-1] + x*p) % mod)\\n    p = p*10 % mod\\n\\nQ = [0]\\nfor i in range(n+1):\\n    Q.append((Q[-1] + P[i]*pow(teninv, i, mod))%mod) \\n\\ns = 0\\nfor l in range(n):\\n    first = P[l] - P[0]\\n    s += (n - l)*first % mod\\n    s += P[n] * inv(9) % mod * (1 - inv(pow(10, n-l, mod))) % mod\\n    d = Q[n+1] - Q[l+1]\\n\\n    s = (s - d*inv(pow(teninv,l,mod))%mod) % mod\\nprint(s%mod)\\n\", \"def inv(x):\\n    return pow(x,1000000005,1000000007)\\ns=input()\\nans=0\\nn=len(s)\\nfor i in range(n-1,-1,-1):\\n    z=pow(10,n-1-i,1000000007)*int(s[i])\\n    z=z*((i)*(i+1))//2\\n    ans+=z\\n    ans%=1000000007\\n    k=n-1-i\\n    op=0\\n    op+=(pow(10,k,1000000007)*(9*k-1))\\n    op%=1000000007\\n    op+=1\\n    op=op*inv(81)\\n    op%=1000000007\\n    op=op*int(s[i])\\n    ans+=op\\n    ans%=1000000007\\nprint(ans)\\n\", \"import sys\\nimport random\\nfrom fractions import Fraction\\nfrom math import *\\n \\ndef input():\\n    return sys.stdin.readline().strip()\\n \\ndef iinput():\\n    return int(input())\\n\\ndef finput():\\n    return float(input())\\n\\ndef tinput():\\n    return input().split()\\n\\ndef linput():\\n    return list(input())\\n \\ndef rinput():\\n    return list(map(int, tinput()))\\n\\ndef fiinput():\\n    return list(map(float, tinput()))\\n \\ndef rlinput():\\n    return list(map(int, input().split()))\\ndef trinput():\\n    return tuple(rinput())\\n\\ndef srlinput():\\n    return sorted(list(map(int, input().split())))\\n\\ndef NOYES(fl):\\n    if fl:\\n        print(\\\"NO\\\")\\n    else:\\n        print(\\\"YES\\\")\\ndef YESNO(fl):\\n    if fl:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n    \\ndef main():\\n    #n = iinput()\\n    #k = iinput() \\n    #m = iinput() \\n    #n = int(sys.stdin.readline().strip()) \\n    #n, k = rinput()\\n    #n, m = rinput()\\n    #m, k = rinput()\\n    #n, k, m = rinput()\\n    #n, m, k = rinput()\\n    #k, n, m = rinput()\\n    #k, m, n = rinput() \\n    #m, k, n = rinput()\\n    #m, n, k = rinput()\\n    #q = rlinput()\\n    #q = linput()\\n    s = input(); n = len(s)\\n    mod = int(1e9) + 7\\n    q = [0 for i in range(100100)]\\n    w = [0 for i in range(100100)]\\n    q[0] = 1; w[0] = 1; res = 1\\n    for i in range(1, 100100):\\n        res = (res * 10) % mod\\n        q[i] = q[i - 1] + res\\n        q[i] %= mod\\n        w[i] = w[i - 1] * 10\\n        w[i] %= mod\\n    l, res, r = 0, 0, 0\\n    for i in range(n - 1):\\n        l *= 10\\n        l += int(s[i])\\n        l %= mod\\n        res += l * q[n - 2 - i] % mod\\n        res %= mod\\n    for i in range(n - 1, 0, -1):\\n        r += w[n - 1 - i] * int(s[i])\\n        r %= mod\\n        res += r * i % mod\\n        res %= mod\\n    print(res)\\n    \\n    \\n        \\n\\n            \\n        \\n    \\n                \\n    \\n    \\n    \\n            \\n    \\n        \\n    \\n\\nfor i in range(1):\\n    main()\\n\"]",
        "difficulty": "interview",
        "input": "22098174938\n",
        "output": "647942793\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1422/C"
    },
    {
        "id": 234,
        "task_id": 1663,
        "test_case_id": 5,
        "question": "Sometimes it is not easy to come to an agreement in a bargain. Right now Sasha and Vova can't come to an agreement: Sasha names a price as high as possible, then Vova wants to remove as many digits from the price as possible. In more details, Sasha names some integer price $n$, Vova removes a non-empty substring of (consecutive) digits from the price, the remaining digits close the gap, and the resulting integer is the price.\n\nFor example, is Sasha names $1213121$, Vova can remove the substring $1312$, and the result is $121$.\n\nIt is allowed for result to contain leading zeros. If Vova removes all digits, the price is considered to be $0$.\n\nSasha wants to come up with some constraints so that Vova can't just remove all digits, but he needs some arguments supporting the constraints. To start with, he wants to compute the sum of all possible resulting prices after Vova's move.\n\nHelp Sasha to compute this sum. Since the answer can be very large, print it modulo $10^9 + 7$.\n\n\n-----Input-----\n\nThe first and only line contains a single integer $n$ ($1 \\le n < 10^{10^5}$).\n\n\n-----Output-----\n\nIn the only line print the required sum modulo $10^9 + 7$.\n\n\n-----Examples-----\nInput\n107\n\nOutput\n42\n\nInput\n100500100500\n\nOutput\n428101984\n\n\n\n-----Note-----\n\nConsider the first example.\n\nVova can choose to remove $1$, $0$, $7$, $10$, $07$, or $107$. The results are $07$, $17$, $10$, $7$, $1$, $0$. Their sum is $42$.",
        "solutions": "[\"s=input();M=10**9+7;o=u=v=0;n=len(s)\\nfor i in range(n):c=int(s[i]);u+=v;v=(10*v+c)%M;o+=pow(10,n-i-1,M)*((i*i+i)//2*c+u)\\nprint(o%M)\", \"mod = int(1e9+7)\\ns = input()\\nn = len(s)\\npref = [0] * (n+1)\\nfor i in range(n):\\n    pref[i+1] = (int(s[i]) + pref[i]*10) % mod\\nfor i in range(n):\\n    pref[i+1] = (pref[i+1] + pref[i]) % mod\\n\\nres = 0\\nacc = 0\\nfor i in range(n, 0, -1):\\n    res += pref[i-1] * pow(10, n-i, mod) + i*acc\\n    res %= mod\\n    acc = acc + int(s[i-1]) * pow(10, n-i, mod) % mod\\nprint(res)\\n\", \"import sys\\nz=sys.stdin.readline\\nM=10**9+7\\nn=[*map(int,z().strip())]\\nl=len(n)\\np=[0]\\nfor i in range(l):p.append(p[-1]+n[i])\\ns=0\\nv=(l*l-l)//2\\nd=1\\nfor i in range(1,l):\\n    r=p[l-i]*i+v*n[l-i]\\n    s=(s+r*d)%M\\n    d=(d*10)%M\\n    v-=l-i\\nprint(s)\", \"n = input().strip()\\nM = 1000000007\\nl = len(n)\\n\\na = 0\\nb = 0\\nfor i,c in enumerate(n[::-1]):\\n\\tc = int(c)\\n\\tp = l - 1 - i\\n\\ta += p * (p + 1) // 2 * c * pow(10, i, M)\\n\\ta += b * c\\n\\ta %= M\\n\\tb += (i+1) * pow(10, i, M)\\n\\tb %= M\\nprint(a)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nMOD = 10 ** 9 + 7\\nN = 10 ** 5 + 100\\n\\nfact = [0 for _ in range(N)]\\ninvfact = [0 for _ in range(N)]\\nfact[0] = 1\\nfor i in range(1, N):\\n    fact[i] = fact[i - 1] * i % MOD\\n\\ninvfact[N - 1] = pow(fact[N - 1], MOD - 2, MOD)\\n\\nfor i in range(N - 2, -1, -1):\\n    invfact[i] = invfact[i + 1] * (i + 1) % MOD\\ndef nCk(n, k):\\n    if k < 0 or n < k:\\n        return 0\\n    else:\\n        return fact[n] * invfact[k] * invfact[n - k] % MOD\\n\\ndef main():\\n    n = input().strip()\\n    ans = 0\\n    l = len(n)\\n    plus = 0\\n    plus2 = 1\\n    plus3 = 1\\n    for i, str_num in enumerate(n[::-1]):\\n        num = int(str_num)\\n        j = l - i - 1\\n        ans += nCk(j + 1, 2) * pow(10, i, MOD) * num\\n        ans %= MOD\\n        ans += num * plus\\n        ans %= MOD\\n        plus += plus2 * plus3\\n        plus2 *= 10\\n        plus3 += 1\\n        plus %= MOD\\n        plus2 %= MOD\\n        plus3 %= MOD\\n\\n    print(ans)\\n        \\n        \\nmain()\\n\", \"n = list(input())\\nl = len(n)\\nx = 1\\ny = 0\\nz = 0\\nmod = pow(10, 9) + 7\\nans = 0\\nfor i in range(l):\\n    m = int(n[l - i - 1])\\n    ans += x * m * ((l - i) * (l - i - 1) // 2)\\n    ans %= mod\\n    ans += z * m\\n    ans %= mod\\n    y += 1\\n    z += x * y\\n    z %= mod\\n    x *= 10\\n    x %= mod\\nprint(ans)\", \"import sys\\n\\ndef minp():\\n\\treturn sys.stdin.readline().strip()\\n\\ndef mint():\\n\\treturn int(minp())\\n\\ndef mints():\\n\\treturn list(map(int, minp().split()))\\n\\n#from math import ceil\\n\\ndef solve():\\n\\tMOD = int(1e9+7)\\n\\ts = minp()\\n\\tn = len(s)\\n\\tp = [0]*(n+1)\\n\\tpp = [1]*(n+1)\\n\\tp10 = 1\\n\\tfor i in range(1,n+1):\\n\\t\\tp[i] = (p[i-1]+p10*i)%MOD\\n\\t\\tpp[i] = p10\\n\\t\\tp10 = (p10*10)%MOD\\n\\tres = (int(s[0])*p[n-1])%MOD\\n\\t#print(res)\\n\\tfor i in range(1,n):\\n\\t\\t#print(int(s[i])*pp[n-i],int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))\\n\\t\\tres = (res+int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))%MOD\\n\\tprint(res)\\n\\n#for i in range(mint()):\\nsolve()\\n\", \"import sys\\ninput = sys.stdin.readline\\nfrom itertools import accumulate\\n\\nS=input().strip()\\nmod=10**9+7\\nLEN=len(S)\\n\\nANS=[0]*(LEN+1)\\nANS2=[0]*(LEN+1)\\nANS3=[0]*(LEN+1)\\n\\nfor i in range(LEN):\\n    x=int(S[LEN-1-i])\\n    \\n    k=LEN-i-1\\n    p=k*(k+1)//2\\n    ANS[i]+=x*p\\n\\n    \\n    ANS2[0]+=x\\n    ANS2[i]-=x\\n    ANS3[i]-=i*x\\n\\nANS2=list(accumulate(ANS2))\\nfor i in range(LEN+1):\\n    ANS2[i]+=ANS3[i]\\nANS2=list(accumulate(ANS2))\\n\\n#print(ANS)\\n#print(ANS2)\\n\\nA=0\\nfor i in range(LEN):\\n    A+=(ANS[i]+ANS2[i])*pow(10,i,mod)\\n    A%=mod\\n\\nprint(A)\\n\", \"s=input()\\nans=0\\nmod=10**9+7\\nn=len(s)\\nps=[0]\\ncp=1\\nfor i in range(n-1,-1,-1):\\n\\tps.append((ps[-1]+int(s[i])*cp)%mod)\\n\\tcp=cp*10%mod\\nps.reverse()\\nprefs=0\\nlastpref=0\\nfor i in range(n):\\n\\tnextdigs=ps[i+1]\\n\\tans=(ans+prefs*pow(10,n-i-1,mod)%mod+nextdigs*(i+1))%mod\\n\\tlastpref=(lastpref*10+int(s[i]))%mod\\n\\tprefs=(prefs+lastpref)%mod\\nprint(ans)\", \"s = [int(c) for c in input()][::-1]\\nn = len(s)\\n\\nmod = 1000000007\\ndef inv(x):\\n    return pow(x, mod - 2, mod)\\nteninv = inv(10)\\n\\nP = [0]\\np = 1\\nfor x in s:\\n    P.append((P[-1] + x*p) % mod)\\n    p = p*10 % mod\\n\\nQ = [0]\\nfor i in range(n+1):\\n    Q.append((Q[-1] + P[i]*pow(teninv, i, mod))%mod) \\n\\ns = 0\\nfor l in range(n):\\n    first = P[l] - P[0]\\n    s += (n - l)*first % mod\\n    s += P[n] * inv(9) % mod * (1 - inv(pow(10, n-l, mod))) % mod\\n    d = Q[n+1] - Q[l+1]\\n\\n    s = (s - d*inv(pow(teninv,l,mod))%mod) % mod\\nprint(s%mod)\\n\", \"def inv(x):\\n    return pow(x,1000000005,1000000007)\\ns=input()\\nans=0\\nn=len(s)\\nfor i in range(n-1,-1,-1):\\n    z=pow(10,n-1-i,1000000007)*int(s[i])\\n    z=z*((i)*(i+1))//2\\n    ans+=z\\n    ans%=1000000007\\n    k=n-1-i\\n    op=0\\n    op+=(pow(10,k,1000000007)*(9*k-1))\\n    op%=1000000007\\n    op+=1\\n    op=op*inv(81)\\n    op%=1000000007\\n    op=op*int(s[i])\\n    ans+=op\\n    ans%=1000000007\\nprint(ans)\\n\", \"import sys\\nimport random\\nfrom fractions import Fraction\\nfrom math import *\\n \\ndef input():\\n    return sys.stdin.readline().strip()\\n \\ndef iinput():\\n    return int(input())\\n\\ndef finput():\\n    return float(input())\\n\\ndef tinput():\\n    return input().split()\\n\\ndef linput():\\n    return list(input())\\n \\ndef rinput():\\n    return list(map(int, tinput()))\\n\\ndef fiinput():\\n    return list(map(float, tinput()))\\n \\ndef rlinput():\\n    return list(map(int, input().split()))\\ndef trinput():\\n    return tuple(rinput())\\n\\ndef srlinput():\\n    return sorted(list(map(int, input().split())))\\n\\ndef NOYES(fl):\\n    if fl:\\n        print(\\\"NO\\\")\\n    else:\\n        print(\\\"YES\\\")\\ndef YESNO(fl):\\n    if fl:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n    \\ndef main():\\n    #n = iinput()\\n    #k = iinput() \\n    #m = iinput() \\n    #n = int(sys.stdin.readline().strip()) \\n    #n, k = rinput()\\n    #n, m = rinput()\\n    #m, k = rinput()\\n    #n, k, m = rinput()\\n    #n, m, k = rinput()\\n    #k, n, m = rinput()\\n    #k, m, n = rinput() \\n    #m, k, n = rinput()\\n    #m, n, k = rinput()\\n    #q = rlinput()\\n    #q = linput()\\n    s = input(); n = len(s)\\n    mod = int(1e9) + 7\\n    q = [0 for i in range(100100)]\\n    w = [0 for i in range(100100)]\\n    q[0] = 1; w[0] = 1; res = 1\\n    for i in range(1, 100100):\\n        res = (res * 10) % mod\\n        q[i] = q[i - 1] + res\\n        q[i] %= mod\\n        w[i] = w[i - 1] * 10\\n        w[i] %= mod\\n    l, res, r = 0, 0, 0\\n    for i in range(n - 1):\\n        l *= 10\\n        l += int(s[i])\\n        l %= mod\\n        res += l * q[n - 2 - i] % mod\\n        res %= mod\\n    for i in range(n - 1, 0, -1):\\n        r += w[n - 1 - i] * int(s[i])\\n        r %= mod\\n        res += r * i % mod\\n        res %= mod\\n    print(res)\\n    \\n    \\n        \\n\\n            \\n        \\n    \\n                \\n    \\n    \\n    \\n            \\n    \\n        \\n    \\n\\nfor i in range(1):\\n    main()\\n\"]",
        "difficulty": "interview",
        "input": "1403665305\n",
        "output": "765601706\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1422/C"
    },
    {
        "id": 235,
        "task_id": 1663,
        "test_case_id": 6,
        "question": "Sometimes it is not easy to come to an agreement in a bargain. Right now Sasha and Vova can't come to an agreement: Sasha names a price as high as possible, then Vova wants to remove as many digits from the price as possible. In more details, Sasha names some integer price $n$, Vova removes a non-empty substring of (consecutive) digits from the price, the remaining digits close the gap, and the resulting integer is the price.\n\nFor example, is Sasha names $1213121$, Vova can remove the substring $1312$, and the result is $121$.\n\nIt is allowed for result to contain leading zeros. If Vova removes all digits, the price is considered to be $0$.\n\nSasha wants to come up with some constraints so that Vova can't just remove all digits, but he needs some arguments supporting the constraints. To start with, he wants to compute the sum of all possible resulting prices after Vova's move.\n\nHelp Sasha to compute this sum. Since the answer can be very large, print it modulo $10^9 + 7$.\n\n\n-----Input-----\n\nThe first and only line contains a single integer $n$ ($1 \\le n < 10^{10^5}$).\n\n\n-----Output-----\n\nIn the only line print the required sum modulo $10^9 + 7$.\n\n\n-----Examples-----\nInput\n107\n\nOutput\n42\n\nInput\n100500100500\n\nOutput\n428101984\n\n\n\n-----Note-----\n\nConsider the first example.\n\nVova can choose to remove $1$, $0$, $7$, $10$, $07$, or $107$. The results are $07$, $17$, $10$, $7$, $1$, $0$. Their sum is $42$.",
        "solutions": "[\"s=input();M=10**9+7;o=u=v=0;n=len(s)\\nfor i in range(n):c=int(s[i]);u+=v;v=(10*v+c)%M;o+=pow(10,n-i-1,M)*((i*i+i)//2*c+u)\\nprint(o%M)\", \"mod = int(1e9+7)\\ns = input()\\nn = len(s)\\npref = [0] * (n+1)\\nfor i in range(n):\\n    pref[i+1] = (int(s[i]) + pref[i]*10) % mod\\nfor i in range(n):\\n    pref[i+1] = (pref[i+1] + pref[i]) % mod\\n\\nres = 0\\nacc = 0\\nfor i in range(n, 0, -1):\\n    res += pref[i-1] * pow(10, n-i, mod) + i*acc\\n    res %= mod\\n    acc = acc + int(s[i-1]) * pow(10, n-i, mod) % mod\\nprint(res)\\n\", \"import sys\\nz=sys.stdin.readline\\nM=10**9+7\\nn=[*map(int,z().strip())]\\nl=len(n)\\np=[0]\\nfor i in range(l):p.append(p[-1]+n[i])\\ns=0\\nv=(l*l-l)//2\\nd=1\\nfor i in range(1,l):\\n    r=p[l-i]*i+v*n[l-i]\\n    s=(s+r*d)%M\\n    d=(d*10)%M\\n    v-=l-i\\nprint(s)\", \"n = input().strip()\\nM = 1000000007\\nl = len(n)\\n\\na = 0\\nb = 0\\nfor i,c in enumerate(n[::-1]):\\n\\tc = int(c)\\n\\tp = l - 1 - i\\n\\ta += p * (p + 1) // 2 * c * pow(10, i, M)\\n\\ta += b * c\\n\\ta %= M\\n\\tb += (i+1) * pow(10, i, M)\\n\\tb %= M\\nprint(a)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nMOD = 10 ** 9 + 7\\nN = 10 ** 5 + 100\\n\\nfact = [0 for _ in range(N)]\\ninvfact = [0 for _ in range(N)]\\nfact[0] = 1\\nfor i in range(1, N):\\n    fact[i] = fact[i - 1] * i % MOD\\n\\ninvfact[N - 1] = pow(fact[N - 1], MOD - 2, MOD)\\n\\nfor i in range(N - 2, -1, -1):\\n    invfact[i] = invfact[i + 1] * (i + 1) % MOD\\ndef nCk(n, k):\\n    if k < 0 or n < k:\\n        return 0\\n    else:\\n        return fact[n] * invfact[k] * invfact[n - k] % MOD\\n\\ndef main():\\n    n = input().strip()\\n    ans = 0\\n    l = len(n)\\n    plus = 0\\n    plus2 = 1\\n    plus3 = 1\\n    for i, str_num in enumerate(n[::-1]):\\n        num = int(str_num)\\n        j = l - i - 1\\n        ans += nCk(j + 1, 2) * pow(10, i, MOD) * num\\n        ans %= MOD\\n        ans += num * plus\\n        ans %= MOD\\n        plus += plus2 * plus3\\n        plus2 *= 10\\n        plus3 += 1\\n        plus %= MOD\\n        plus2 %= MOD\\n        plus3 %= MOD\\n\\n    print(ans)\\n        \\n        \\nmain()\\n\", \"n = list(input())\\nl = len(n)\\nx = 1\\ny = 0\\nz = 0\\nmod = pow(10, 9) + 7\\nans = 0\\nfor i in range(l):\\n    m = int(n[l - i - 1])\\n    ans += x * m * ((l - i) * (l - i - 1) // 2)\\n    ans %= mod\\n    ans += z * m\\n    ans %= mod\\n    y += 1\\n    z += x * y\\n    z %= mod\\n    x *= 10\\n    x %= mod\\nprint(ans)\", \"import sys\\n\\ndef minp():\\n\\treturn sys.stdin.readline().strip()\\n\\ndef mint():\\n\\treturn int(minp())\\n\\ndef mints():\\n\\treturn list(map(int, minp().split()))\\n\\n#from math import ceil\\n\\ndef solve():\\n\\tMOD = int(1e9+7)\\n\\ts = minp()\\n\\tn = len(s)\\n\\tp = [0]*(n+1)\\n\\tpp = [1]*(n+1)\\n\\tp10 = 1\\n\\tfor i in range(1,n+1):\\n\\t\\tp[i] = (p[i-1]+p10*i)%MOD\\n\\t\\tpp[i] = p10\\n\\t\\tp10 = (p10*10)%MOD\\n\\tres = (int(s[0])*p[n-1])%MOD\\n\\t#print(res)\\n\\tfor i in range(1,n):\\n\\t\\t#print(int(s[i])*pp[n-i],int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))\\n\\t\\tres = (res+int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))%MOD\\n\\tprint(res)\\n\\n#for i in range(mint()):\\nsolve()\\n\", \"import sys\\ninput = sys.stdin.readline\\nfrom itertools import accumulate\\n\\nS=input().strip()\\nmod=10**9+7\\nLEN=len(S)\\n\\nANS=[0]*(LEN+1)\\nANS2=[0]*(LEN+1)\\nANS3=[0]*(LEN+1)\\n\\nfor i in range(LEN):\\n    x=int(S[LEN-1-i])\\n    \\n    k=LEN-i-1\\n    p=k*(k+1)//2\\n    ANS[i]+=x*p\\n\\n    \\n    ANS2[0]+=x\\n    ANS2[i]-=x\\n    ANS3[i]-=i*x\\n\\nANS2=list(accumulate(ANS2))\\nfor i in range(LEN+1):\\n    ANS2[i]+=ANS3[i]\\nANS2=list(accumulate(ANS2))\\n\\n#print(ANS)\\n#print(ANS2)\\n\\nA=0\\nfor i in range(LEN):\\n    A+=(ANS[i]+ANS2[i])*pow(10,i,mod)\\n    A%=mod\\n\\nprint(A)\\n\", \"s=input()\\nans=0\\nmod=10**9+7\\nn=len(s)\\nps=[0]\\ncp=1\\nfor i in range(n-1,-1,-1):\\n\\tps.append((ps[-1]+int(s[i])*cp)%mod)\\n\\tcp=cp*10%mod\\nps.reverse()\\nprefs=0\\nlastpref=0\\nfor i in range(n):\\n\\tnextdigs=ps[i+1]\\n\\tans=(ans+prefs*pow(10,n-i-1,mod)%mod+nextdigs*(i+1))%mod\\n\\tlastpref=(lastpref*10+int(s[i]))%mod\\n\\tprefs=(prefs+lastpref)%mod\\nprint(ans)\", \"s = [int(c) for c in input()][::-1]\\nn = len(s)\\n\\nmod = 1000000007\\ndef inv(x):\\n    return pow(x, mod - 2, mod)\\nteninv = inv(10)\\n\\nP = [0]\\np = 1\\nfor x in s:\\n    P.append((P[-1] + x*p) % mod)\\n    p = p*10 % mod\\n\\nQ = [0]\\nfor i in range(n+1):\\n    Q.append((Q[-1] + P[i]*pow(teninv, i, mod))%mod) \\n\\ns = 0\\nfor l in range(n):\\n    first = P[l] - P[0]\\n    s += (n - l)*first % mod\\n    s += P[n] * inv(9) % mod * (1 - inv(pow(10, n-l, mod))) % mod\\n    d = Q[n+1] - Q[l+1]\\n\\n    s = (s - d*inv(pow(teninv,l,mod))%mod) % mod\\nprint(s%mod)\\n\", \"def inv(x):\\n    return pow(x,1000000005,1000000007)\\ns=input()\\nans=0\\nn=len(s)\\nfor i in range(n-1,-1,-1):\\n    z=pow(10,n-1-i,1000000007)*int(s[i])\\n    z=z*((i)*(i+1))//2\\n    ans+=z\\n    ans%=1000000007\\n    k=n-1-i\\n    op=0\\n    op+=(pow(10,k,1000000007)*(9*k-1))\\n    op%=1000000007\\n    op+=1\\n    op=op*inv(81)\\n    op%=1000000007\\n    op=op*int(s[i])\\n    ans+=op\\n    ans%=1000000007\\nprint(ans)\\n\", \"import sys\\nimport random\\nfrom fractions import Fraction\\nfrom math import *\\n \\ndef input():\\n    return sys.stdin.readline().strip()\\n \\ndef iinput():\\n    return int(input())\\n\\ndef finput():\\n    return float(input())\\n\\ndef tinput():\\n    return input().split()\\n\\ndef linput():\\n    return list(input())\\n \\ndef rinput():\\n    return list(map(int, tinput()))\\n\\ndef fiinput():\\n    return list(map(float, tinput()))\\n \\ndef rlinput():\\n    return list(map(int, input().split()))\\ndef trinput():\\n    return tuple(rinput())\\n\\ndef srlinput():\\n    return sorted(list(map(int, input().split())))\\n\\ndef NOYES(fl):\\n    if fl:\\n        print(\\\"NO\\\")\\n    else:\\n        print(\\\"YES\\\")\\ndef YESNO(fl):\\n    if fl:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n    \\ndef main():\\n    #n = iinput()\\n    #k = iinput() \\n    #m = iinput() \\n    #n = int(sys.stdin.readline().strip()) \\n    #n, k = rinput()\\n    #n, m = rinput()\\n    #m, k = rinput()\\n    #n, k, m = rinput()\\n    #n, m, k = rinput()\\n    #k, n, m = rinput()\\n    #k, m, n = rinput() \\n    #m, k, n = rinput()\\n    #m, n, k = rinput()\\n    #q = rlinput()\\n    #q = linput()\\n    s = input(); n = len(s)\\n    mod = int(1e9) + 7\\n    q = [0 for i in range(100100)]\\n    w = [0 for i in range(100100)]\\n    q[0] = 1; w[0] = 1; res = 1\\n    for i in range(1, 100100):\\n        res = (res * 10) % mod\\n        q[i] = q[i - 1] + res\\n        q[i] %= mod\\n        w[i] = w[i - 1] * 10\\n        w[i] %= mod\\n    l, res, r = 0, 0, 0\\n    for i in range(n - 1):\\n        l *= 10\\n        l += int(s[i])\\n        l %= mod\\n        res += l * q[n - 2 - i] % mod\\n        res %= mod\\n    for i in range(n - 1, 0, -1):\\n        r += w[n - 1 - i] * int(s[i])\\n        r %= mod\\n        res += r * i % mod\\n        res %= mod\\n    print(res)\\n    \\n    \\n        \\n\\n            \\n        \\n    \\n                \\n    \\n    \\n    \\n            \\n    \\n        \\n    \\n\\nfor i in range(1):\\n    main()\\n\"]",
        "difficulty": "interview",
        "input": "75109\n",
        "output": "37263\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1422/C"
    },
    {
        "id": 236,
        "task_id": 1663,
        "test_case_id": 7,
        "question": "Sometimes it is not easy to come to an agreement in a bargain. Right now Sasha and Vova can't come to an agreement: Sasha names a price as high as possible, then Vova wants to remove as many digits from the price as possible. In more details, Sasha names some integer price $n$, Vova removes a non-empty substring of (consecutive) digits from the price, the remaining digits close the gap, and the resulting integer is the price.\n\nFor example, is Sasha names $1213121$, Vova can remove the substring $1312$, and the result is $121$.\n\nIt is allowed for result to contain leading zeros. If Vova removes all digits, the price is considered to be $0$.\n\nSasha wants to come up with some constraints so that Vova can't just remove all digits, but he needs some arguments supporting the constraints. To start with, he wants to compute the sum of all possible resulting prices after Vova's move.\n\nHelp Sasha to compute this sum. Since the answer can be very large, print it modulo $10^9 + 7$.\n\n\n-----Input-----\n\nThe first and only line contains a single integer $n$ ($1 \\le n < 10^{10^5}$).\n\n\n-----Output-----\n\nIn the only line print the required sum modulo $10^9 + 7$.\n\n\n-----Examples-----\nInput\n107\n\nOutput\n42\n\nInput\n100500100500\n\nOutput\n428101984\n\n\n\n-----Note-----\n\nConsider the first example.\n\nVova can choose to remove $1$, $0$, $7$, $10$, $07$, or $107$. The results are $07$, $17$, $10$, $7$, $1$, $0$. Their sum is $42$.",
        "solutions": "[\"s=input();M=10**9+7;o=u=v=0;n=len(s)\\nfor i in range(n):c=int(s[i]);u+=v;v=(10*v+c)%M;o+=pow(10,n-i-1,M)*((i*i+i)//2*c+u)\\nprint(o%M)\", \"mod = int(1e9+7)\\ns = input()\\nn = len(s)\\npref = [0] * (n+1)\\nfor i in range(n):\\n    pref[i+1] = (int(s[i]) + pref[i]*10) % mod\\nfor i in range(n):\\n    pref[i+1] = (pref[i+1] + pref[i]) % mod\\n\\nres = 0\\nacc = 0\\nfor i in range(n, 0, -1):\\n    res += pref[i-1] * pow(10, n-i, mod) + i*acc\\n    res %= mod\\n    acc = acc + int(s[i-1]) * pow(10, n-i, mod) % mod\\nprint(res)\\n\", \"import sys\\nz=sys.stdin.readline\\nM=10**9+7\\nn=[*map(int,z().strip())]\\nl=len(n)\\np=[0]\\nfor i in range(l):p.append(p[-1]+n[i])\\ns=0\\nv=(l*l-l)//2\\nd=1\\nfor i in range(1,l):\\n    r=p[l-i]*i+v*n[l-i]\\n    s=(s+r*d)%M\\n    d=(d*10)%M\\n    v-=l-i\\nprint(s)\", \"n = input().strip()\\nM = 1000000007\\nl = len(n)\\n\\na = 0\\nb = 0\\nfor i,c in enumerate(n[::-1]):\\n\\tc = int(c)\\n\\tp = l - 1 - i\\n\\ta += p * (p + 1) // 2 * c * pow(10, i, M)\\n\\ta += b * c\\n\\ta %= M\\n\\tb += (i+1) * pow(10, i, M)\\n\\tb %= M\\nprint(a)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nMOD = 10 ** 9 + 7\\nN = 10 ** 5 + 100\\n\\nfact = [0 for _ in range(N)]\\ninvfact = [0 for _ in range(N)]\\nfact[0] = 1\\nfor i in range(1, N):\\n    fact[i] = fact[i - 1] * i % MOD\\n\\ninvfact[N - 1] = pow(fact[N - 1], MOD - 2, MOD)\\n\\nfor i in range(N - 2, -1, -1):\\n    invfact[i] = invfact[i + 1] * (i + 1) % MOD\\ndef nCk(n, k):\\n    if k < 0 or n < k:\\n        return 0\\n    else:\\n        return fact[n] * invfact[k] * invfact[n - k] % MOD\\n\\ndef main():\\n    n = input().strip()\\n    ans = 0\\n    l = len(n)\\n    plus = 0\\n    plus2 = 1\\n    plus3 = 1\\n    for i, str_num in enumerate(n[::-1]):\\n        num = int(str_num)\\n        j = l - i - 1\\n        ans += nCk(j + 1, 2) * pow(10, i, MOD) * num\\n        ans %= MOD\\n        ans += num * plus\\n        ans %= MOD\\n        plus += plus2 * plus3\\n        plus2 *= 10\\n        plus3 += 1\\n        plus %= MOD\\n        plus2 %= MOD\\n        plus3 %= MOD\\n\\n    print(ans)\\n        \\n        \\nmain()\\n\", \"n = list(input())\\nl = len(n)\\nx = 1\\ny = 0\\nz = 0\\nmod = pow(10, 9) + 7\\nans = 0\\nfor i in range(l):\\n    m = int(n[l - i - 1])\\n    ans += x * m * ((l - i) * (l - i - 1) // 2)\\n    ans %= mod\\n    ans += z * m\\n    ans %= mod\\n    y += 1\\n    z += x * y\\n    z %= mod\\n    x *= 10\\n    x %= mod\\nprint(ans)\", \"import sys\\n\\ndef minp():\\n\\treturn sys.stdin.readline().strip()\\n\\ndef mint():\\n\\treturn int(minp())\\n\\ndef mints():\\n\\treturn list(map(int, minp().split()))\\n\\n#from math import ceil\\n\\ndef solve():\\n\\tMOD = int(1e9+7)\\n\\ts = minp()\\n\\tn = len(s)\\n\\tp = [0]*(n+1)\\n\\tpp = [1]*(n+1)\\n\\tp10 = 1\\n\\tfor i in range(1,n+1):\\n\\t\\tp[i] = (p[i-1]+p10*i)%MOD\\n\\t\\tpp[i] = p10\\n\\t\\tp10 = (p10*10)%MOD\\n\\tres = (int(s[0])*p[n-1])%MOD\\n\\t#print(res)\\n\\tfor i in range(1,n):\\n\\t\\t#print(int(s[i])*pp[n-i],int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))\\n\\t\\tres = (res+int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))%MOD\\n\\tprint(res)\\n\\n#for i in range(mint()):\\nsolve()\\n\", \"import sys\\ninput = sys.stdin.readline\\nfrom itertools import accumulate\\n\\nS=input().strip()\\nmod=10**9+7\\nLEN=len(S)\\n\\nANS=[0]*(LEN+1)\\nANS2=[0]*(LEN+1)\\nANS3=[0]*(LEN+1)\\n\\nfor i in range(LEN):\\n    x=int(S[LEN-1-i])\\n    \\n    k=LEN-i-1\\n    p=k*(k+1)//2\\n    ANS[i]+=x*p\\n\\n    \\n    ANS2[0]+=x\\n    ANS2[i]-=x\\n    ANS3[i]-=i*x\\n\\nANS2=list(accumulate(ANS2))\\nfor i in range(LEN+1):\\n    ANS2[i]+=ANS3[i]\\nANS2=list(accumulate(ANS2))\\n\\n#print(ANS)\\n#print(ANS2)\\n\\nA=0\\nfor i in range(LEN):\\n    A+=(ANS[i]+ANS2[i])*pow(10,i,mod)\\n    A%=mod\\n\\nprint(A)\\n\", \"s=input()\\nans=0\\nmod=10**9+7\\nn=len(s)\\nps=[0]\\ncp=1\\nfor i in range(n-1,-1,-1):\\n\\tps.append((ps[-1]+int(s[i])*cp)%mod)\\n\\tcp=cp*10%mod\\nps.reverse()\\nprefs=0\\nlastpref=0\\nfor i in range(n):\\n\\tnextdigs=ps[i+1]\\n\\tans=(ans+prefs*pow(10,n-i-1,mod)%mod+nextdigs*(i+1))%mod\\n\\tlastpref=(lastpref*10+int(s[i]))%mod\\n\\tprefs=(prefs+lastpref)%mod\\nprint(ans)\", \"s = [int(c) for c in input()][::-1]\\nn = len(s)\\n\\nmod = 1000000007\\ndef inv(x):\\n    return pow(x, mod - 2, mod)\\nteninv = inv(10)\\n\\nP = [0]\\np = 1\\nfor x in s:\\n    P.append((P[-1] + x*p) % mod)\\n    p = p*10 % mod\\n\\nQ = [0]\\nfor i in range(n+1):\\n    Q.append((Q[-1] + P[i]*pow(teninv, i, mod))%mod) \\n\\ns = 0\\nfor l in range(n):\\n    first = P[l] - P[0]\\n    s += (n - l)*first % mod\\n    s += P[n] * inv(9) % mod * (1 - inv(pow(10, n-l, mod))) % mod\\n    d = Q[n+1] - Q[l+1]\\n\\n    s = (s - d*inv(pow(teninv,l,mod))%mod) % mod\\nprint(s%mod)\\n\", \"def inv(x):\\n    return pow(x,1000000005,1000000007)\\ns=input()\\nans=0\\nn=len(s)\\nfor i in range(n-1,-1,-1):\\n    z=pow(10,n-1-i,1000000007)*int(s[i])\\n    z=z*((i)*(i+1))//2\\n    ans+=z\\n    ans%=1000000007\\n    k=n-1-i\\n    op=0\\n    op+=(pow(10,k,1000000007)*(9*k-1))\\n    op%=1000000007\\n    op+=1\\n    op=op*inv(81)\\n    op%=1000000007\\n    op=op*int(s[i])\\n    ans+=op\\n    ans%=1000000007\\nprint(ans)\\n\", \"import sys\\nimport random\\nfrom fractions import Fraction\\nfrom math import *\\n \\ndef input():\\n    return sys.stdin.readline().strip()\\n \\ndef iinput():\\n    return int(input())\\n\\ndef finput():\\n    return float(input())\\n\\ndef tinput():\\n    return input().split()\\n\\ndef linput():\\n    return list(input())\\n \\ndef rinput():\\n    return list(map(int, tinput()))\\n\\ndef fiinput():\\n    return list(map(float, tinput()))\\n \\ndef rlinput():\\n    return list(map(int, input().split()))\\ndef trinput():\\n    return tuple(rinput())\\n\\ndef srlinput():\\n    return sorted(list(map(int, input().split())))\\n\\ndef NOYES(fl):\\n    if fl:\\n        print(\\\"NO\\\")\\n    else:\\n        print(\\\"YES\\\")\\ndef YESNO(fl):\\n    if fl:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n    \\ndef main():\\n    #n = iinput()\\n    #k = iinput() \\n    #m = iinput() \\n    #n = int(sys.stdin.readline().strip()) \\n    #n, k = rinput()\\n    #n, m = rinput()\\n    #m, k = rinput()\\n    #n, k, m = rinput()\\n    #n, m, k = rinput()\\n    #k, n, m = rinput()\\n    #k, m, n = rinput() \\n    #m, k, n = rinput()\\n    #m, n, k = rinput()\\n    #q = rlinput()\\n    #q = linput()\\n    s = input(); n = len(s)\\n    mod = int(1e9) + 7\\n    q = [0 for i in range(100100)]\\n    w = [0 for i in range(100100)]\\n    q[0] = 1; w[0] = 1; res = 1\\n    for i in range(1, 100100):\\n        res = (res * 10) % mod\\n        q[i] = q[i - 1] + res\\n        q[i] %= mod\\n        w[i] = w[i - 1] * 10\\n        w[i] %= mod\\n    l, res, r = 0, 0, 0\\n    for i in range(n - 1):\\n        l *= 10\\n        l += int(s[i])\\n        l %= mod\\n        res += l * q[n - 2 - i] % mod\\n        res %= mod\\n    for i in range(n - 1, 0, -1):\\n        r += w[n - 1 - i] * int(s[i])\\n        r %= mod\\n        res += r * i % mod\\n        res %= mod\\n    print(res)\\n    \\n    \\n        \\n\\n            \\n        \\n    \\n                \\n    \\n    \\n    \\n            \\n    \\n        \\n    \\n\\nfor i in range(1):\\n    main()\\n\"]",
        "difficulty": "interview",
        "input": "2\n",
        "output": "0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1422/C"
    },
    {
        "id": 237,
        "task_id": 1663,
        "test_case_id": 8,
        "question": "Sometimes it is not easy to come to an agreement in a bargain. Right now Sasha and Vova can't come to an agreement: Sasha names a price as high as possible, then Vova wants to remove as many digits from the price as possible. In more details, Sasha names some integer price $n$, Vova removes a non-empty substring of (consecutive) digits from the price, the remaining digits close the gap, and the resulting integer is the price.\n\nFor example, is Sasha names $1213121$, Vova can remove the substring $1312$, and the result is $121$.\n\nIt is allowed for result to contain leading zeros. If Vova removes all digits, the price is considered to be $0$.\n\nSasha wants to come up with some constraints so that Vova can't just remove all digits, but he needs some arguments supporting the constraints. To start with, he wants to compute the sum of all possible resulting prices after Vova's move.\n\nHelp Sasha to compute this sum. Since the answer can be very large, print it modulo $10^9 + 7$.\n\n\n-----Input-----\n\nThe first and only line contains a single integer $n$ ($1 \\le n < 10^{10^5}$).\n\n\n-----Output-----\n\nIn the only line print the required sum modulo $10^9 + 7$.\n\n\n-----Examples-----\nInput\n107\n\nOutput\n42\n\nInput\n100500100500\n\nOutput\n428101984\n\n\n\n-----Note-----\n\nConsider the first example.\n\nVova can choose to remove $1$, $0$, $7$, $10$, $07$, or $107$. The results are $07$, $17$, $10$, $7$, $1$, $0$. Their sum is $42$.",
        "solutions": "[\"s=input();M=10**9+7;o=u=v=0;n=len(s)\\nfor i in range(n):c=int(s[i]);u+=v;v=(10*v+c)%M;o+=pow(10,n-i-1,M)*((i*i+i)//2*c+u)\\nprint(o%M)\", \"mod = int(1e9+7)\\ns = input()\\nn = len(s)\\npref = [0] * (n+1)\\nfor i in range(n):\\n    pref[i+1] = (int(s[i]) + pref[i]*10) % mod\\nfor i in range(n):\\n    pref[i+1] = (pref[i+1] + pref[i]) % mod\\n\\nres = 0\\nacc = 0\\nfor i in range(n, 0, -1):\\n    res += pref[i-1] * pow(10, n-i, mod) + i*acc\\n    res %= mod\\n    acc = acc + int(s[i-1]) * pow(10, n-i, mod) % mod\\nprint(res)\\n\", \"import sys\\nz=sys.stdin.readline\\nM=10**9+7\\nn=[*map(int,z().strip())]\\nl=len(n)\\np=[0]\\nfor i in range(l):p.append(p[-1]+n[i])\\ns=0\\nv=(l*l-l)//2\\nd=1\\nfor i in range(1,l):\\n    r=p[l-i]*i+v*n[l-i]\\n    s=(s+r*d)%M\\n    d=(d*10)%M\\n    v-=l-i\\nprint(s)\", \"n = input().strip()\\nM = 1000000007\\nl = len(n)\\n\\na = 0\\nb = 0\\nfor i,c in enumerate(n[::-1]):\\n\\tc = int(c)\\n\\tp = l - 1 - i\\n\\ta += p * (p + 1) // 2 * c * pow(10, i, M)\\n\\ta += b * c\\n\\ta %= M\\n\\tb += (i+1) * pow(10, i, M)\\n\\tb %= M\\nprint(a)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nMOD = 10 ** 9 + 7\\nN = 10 ** 5 + 100\\n\\nfact = [0 for _ in range(N)]\\ninvfact = [0 for _ in range(N)]\\nfact[0] = 1\\nfor i in range(1, N):\\n    fact[i] = fact[i - 1] * i % MOD\\n\\ninvfact[N - 1] = pow(fact[N - 1], MOD - 2, MOD)\\n\\nfor i in range(N - 2, -1, -1):\\n    invfact[i] = invfact[i + 1] * (i + 1) % MOD\\ndef nCk(n, k):\\n    if k < 0 or n < k:\\n        return 0\\n    else:\\n        return fact[n] * invfact[k] * invfact[n - k] % MOD\\n\\ndef main():\\n    n = input().strip()\\n    ans = 0\\n    l = len(n)\\n    plus = 0\\n    plus2 = 1\\n    plus3 = 1\\n    for i, str_num in enumerate(n[::-1]):\\n        num = int(str_num)\\n        j = l - i - 1\\n        ans += nCk(j + 1, 2) * pow(10, i, MOD) * num\\n        ans %= MOD\\n        ans += num * plus\\n        ans %= MOD\\n        plus += plus2 * plus3\\n        plus2 *= 10\\n        plus3 += 1\\n        plus %= MOD\\n        plus2 %= MOD\\n        plus3 %= MOD\\n\\n    print(ans)\\n        \\n        \\nmain()\\n\", \"n = list(input())\\nl = len(n)\\nx = 1\\ny = 0\\nz = 0\\nmod = pow(10, 9) + 7\\nans = 0\\nfor i in range(l):\\n    m = int(n[l - i - 1])\\n    ans += x * m * ((l - i) * (l - i - 1) // 2)\\n    ans %= mod\\n    ans += z * m\\n    ans %= mod\\n    y += 1\\n    z += x * y\\n    z %= mod\\n    x *= 10\\n    x %= mod\\nprint(ans)\", \"import sys\\n\\ndef minp():\\n\\treturn sys.stdin.readline().strip()\\n\\ndef mint():\\n\\treturn int(minp())\\n\\ndef mints():\\n\\treturn list(map(int, minp().split()))\\n\\n#from math import ceil\\n\\ndef solve():\\n\\tMOD = int(1e9+7)\\n\\ts = minp()\\n\\tn = len(s)\\n\\tp = [0]*(n+1)\\n\\tpp = [1]*(n+1)\\n\\tp10 = 1\\n\\tfor i in range(1,n+1):\\n\\t\\tp[i] = (p[i-1]+p10*i)%MOD\\n\\t\\tpp[i] = p10\\n\\t\\tp10 = (p10*10)%MOD\\n\\tres = (int(s[0])*p[n-1])%MOD\\n\\t#print(res)\\n\\tfor i in range(1,n):\\n\\t\\t#print(int(s[i])*pp[n-i],int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))\\n\\t\\tres = (res+int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))%MOD\\n\\tprint(res)\\n\\n#for i in range(mint()):\\nsolve()\\n\", \"import sys\\ninput = sys.stdin.readline\\nfrom itertools import accumulate\\n\\nS=input().strip()\\nmod=10**9+7\\nLEN=len(S)\\n\\nANS=[0]*(LEN+1)\\nANS2=[0]*(LEN+1)\\nANS3=[0]*(LEN+1)\\n\\nfor i in range(LEN):\\n    x=int(S[LEN-1-i])\\n    \\n    k=LEN-i-1\\n    p=k*(k+1)//2\\n    ANS[i]+=x*p\\n\\n    \\n    ANS2[0]+=x\\n    ANS2[i]-=x\\n    ANS3[i]-=i*x\\n\\nANS2=list(accumulate(ANS2))\\nfor i in range(LEN+1):\\n    ANS2[i]+=ANS3[i]\\nANS2=list(accumulate(ANS2))\\n\\n#print(ANS)\\n#print(ANS2)\\n\\nA=0\\nfor i in range(LEN):\\n    A+=(ANS[i]+ANS2[i])*pow(10,i,mod)\\n    A%=mod\\n\\nprint(A)\\n\", \"s=input()\\nans=0\\nmod=10**9+7\\nn=len(s)\\nps=[0]\\ncp=1\\nfor i in range(n-1,-1,-1):\\n\\tps.append((ps[-1]+int(s[i])*cp)%mod)\\n\\tcp=cp*10%mod\\nps.reverse()\\nprefs=0\\nlastpref=0\\nfor i in range(n):\\n\\tnextdigs=ps[i+1]\\n\\tans=(ans+prefs*pow(10,n-i-1,mod)%mod+nextdigs*(i+1))%mod\\n\\tlastpref=(lastpref*10+int(s[i]))%mod\\n\\tprefs=(prefs+lastpref)%mod\\nprint(ans)\", \"s = [int(c) for c in input()][::-1]\\nn = len(s)\\n\\nmod = 1000000007\\ndef inv(x):\\n    return pow(x, mod - 2, mod)\\nteninv = inv(10)\\n\\nP = [0]\\np = 1\\nfor x in s:\\n    P.append((P[-1] + x*p) % mod)\\n    p = p*10 % mod\\n\\nQ = [0]\\nfor i in range(n+1):\\n    Q.append((Q[-1] + P[i]*pow(teninv, i, mod))%mod) \\n\\ns = 0\\nfor l in range(n):\\n    first = P[l] - P[0]\\n    s += (n - l)*first % mod\\n    s += P[n] * inv(9) % mod * (1 - inv(pow(10, n-l, mod))) % mod\\n    d = Q[n+1] - Q[l+1]\\n\\n    s = (s - d*inv(pow(teninv,l,mod))%mod) % mod\\nprint(s%mod)\\n\", \"def inv(x):\\n    return pow(x,1000000005,1000000007)\\ns=input()\\nans=0\\nn=len(s)\\nfor i in range(n-1,-1,-1):\\n    z=pow(10,n-1-i,1000000007)*int(s[i])\\n    z=z*((i)*(i+1))//2\\n    ans+=z\\n    ans%=1000000007\\n    k=n-1-i\\n    op=0\\n    op+=(pow(10,k,1000000007)*(9*k-1))\\n    op%=1000000007\\n    op+=1\\n    op=op*inv(81)\\n    op%=1000000007\\n    op=op*int(s[i])\\n    ans+=op\\n    ans%=1000000007\\nprint(ans)\\n\", \"import sys\\nimport random\\nfrom fractions import Fraction\\nfrom math import *\\n \\ndef input():\\n    return sys.stdin.readline().strip()\\n \\ndef iinput():\\n    return int(input())\\n\\ndef finput():\\n    return float(input())\\n\\ndef tinput():\\n    return input().split()\\n\\ndef linput():\\n    return list(input())\\n \\ndef rinput():\\n    return list(map(int, tinput()))\\n\\ndef fiinput():\\n    return list(map(float, tinput()))\\n \\ndef rlinput():\\n    return list(map(int, input().split()))\\ndef trinput():\\n    return tuple(rinput())\\n\\ndef srlinput():\\n    return sorted(list(map(int, input().split())))\\n\\ndef NOYES(fl):\\n    if fl:\\n        print(\\\"NO\\\")\\n    else:\\n        print(\\\"YES\\\")\\ndef YESNO(fl):\\n    if fl:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n    \\ndef main():\\n    #n = iinput()\\n    #k = iinput() \\n    #m = iinput() \\n    #n = int(sys.stdin.readline().strip()) \\n    #n, k = rinput()\\n    #n, m = rinput()\\n    #m, k = rinput()\\n    #n, k, m = rinput()\\n    #n, m, k = rinput()\\n    #k, n, m = rinput()\\n    #k, m, n = rinput() \\n    #m, k, n = rinput()\\n    #m, n, k = rinput()\\n    #q = rlinput()\\n    #q = linput()\\n    s = input(); n = len(s)\\n    mod = int(1e9) + 7\\n    q = [0 for i in range(100100)]\\n    w = [0 for i in range(100100)]\\n    q[0] = 1; w[0] = 1; res = 1\\n    for i in range(1, 100100):\\n        res = (res * 10) % mod\\n        q[i] = q[i - 1] + res\\n        q[i] %= mod\\n        w[i] = w[i - 1] * 10\\n        w[i] %= mod\\n    l, res, r = 0, 0, 0\\n    for i in range(n - 1):\\n        l *= 10\\n        l += int(s[i])\\n        l %= mod\\n        res += l * q[n - 2 - i] % mod\\n        res %= mod\\n    for i in range(n - 1, 0, -1):\\n        r += w[n - 1 - i] * int(s[i])\\n        r %= mod\\n        res += r * i % mod\\n        res %= mod\\n    print(res)\\n    \\n    \\n        \\n\\n            \\n        \\n    \\n                \\n    \\n    \\n    \\n            \\n    \\n        \\n    \\n\\nfor i in range(1):\\n    main()\\n\"]",
        "difficulty": "interview",
        "input": "68947\n",
        "output": "39697\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1422/C"
    },
    {
        "id": 238,
        "task_id": 1663,
        "test_case_id": 9,
        "question": "Sometimes it is not easy to come to an agreement in a bargain. Right now Sasha and Vova can't come to an agreement: Sasha names a price as high as possible, then Vova wants to remove as many digits from the price as possible. In more details, Sasha names some integer price $n$, Vova removes a non-empty substring of (consecutive) digits from the price, the remaining digits close the gap, and the resulting integer is the price.\n\nFor example, is Sasha names $1213121$, Vova can remove the substring $1312$, and the result is $121$.\n\nIt is allowed for result to contain leading zeros. If Vova removes all digits, the price is considered to be $0$.\n\nSasha wants to come up with some constraints so that Vova can't just remove all digits, but he needs some arguments supporting the constraints. To start with, he wants to compute the sum of all possible resulting prices after Vova's move.\n\nHelp Sasha to compute this sum. Since the answer can be very large, print it modulo $10^9 + 7$.\n\n\n-----Input-----\n\nThe first and only line contains a single integer $n$ ($1 \\le n < 10^{10^5}$).\n\n\n-----Output-----\n\nIn the only line print the required sum modulo $10^9 + 7$.\n\n\n-----Examples-----\nInput\n107\n\nOutput\n42\n\nInput\n100500100500\n\nOutput\n428101984\n\n\n\n-----Note-----\n\nConsider the first example.\n\nVova can choose to remove $1$, $0$, $7$, $10$, $07$, or $107$. The results are $07$, $17$, $10$, $7$, $1$, $0$. Their sum is $42$.",
        "solutions": "[\"s=input();M=10**9+7;o=u=v=0;n=len(s)\\nfor i in range(n):c=int(s[i]);u+=v;v=(10*v+c)%M;o+=pow(10,n-i-1,M)*((i*i+i)//2*c+u)\\nprint(o%M)\", \"mod = int(1e9+7)\\ns = input()\\nn = len(s)\\npref = [0] * (n+1)\\nfor i in range(n):\\n    pref[i+1] = (int(s[i]) + pref[i]*10) % mod\\nfor i in range(n):\\n    pref[i+1] = (pref[i+1] + pref[i]) % mod\\n\\nres = 0\\nacc = 0\\nfor i in range(n, 0, -1):\\n    res += pref[i-1] * pow(10, n-i, mod) + i*acc\\n    res %= mod\\n    acc = acc + int(s[i-1]) * pow(10, n-i, mod) % mod\\nprint(res)\\n\", \"import sys\\nz=sys.stdin.readline\\nM=10**9+7\\nn=[*map(int,z().strip())]\\nl=len(n)\\np=[0]\\nfor i in range(l):p.append(p[-1]+n[i])\\ns=0\\nv=(l*l-l)//2\\nd=1\\nfor i in range(1,l):\\n    r=p[l-i]*i+v*n[l-i]\\n    s=(s+r*d)%M\\n    d=(d*10)%M\\n    v-=l-i\\nprint(s)\", \"n = input().strip()\\nM = 1000000007\\nl = len(n)\\n\\na = 0\\nb = 0\\nfor i,c in enumerate(n[::-1]):\\n\\tc = int(c)\\n\\tp = l - 1 - i\\n\\ta += p * (p + 1) // 2 * c * pow(10, i, M)\\n\\ta += b * c\\n\\ta %= M\\n\\tb += (i+1) * pow(10, i, M)\\n\\tb %= M\\nprint(a)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nMOD = 10 ** 9 + 7\\nN = 10 ** 5 + 100\\n\\nfact = [0 for _ in range(N)]\\ninvfact = [0 for _ in range(N)]\\nfact[0] = 1\\nfor i in range(1, N):\\n    fact[i] = fact[i - 1] * i % MOD\\n\\ninvfact[N - 1] = pow(fact[N - 1], MOD - 2, MOD)\\n\\nfor i in range(N - 2, -1, -1):\\n    invfact[i] = invfact[i + 1] * (i + 1) % MOD\\ndef nCk(n, k):\\n    if k < 0 or n < k:\\n        return 0\\n    else:\\n        return fact[n] * invfact[k] * invfact[n - k] % MOD\\n\\ndef main():\\n    n = input().strip()\\n    ans = 0\\n    l = len(n)\\n    plus = 0\\n    plus2 = 1\\n    plus3 = 1\\n    for i, str_num in enumerate(n[::-1]):\\n        num = int(str_num)\\n        j = l - i - 1\\n        ans += nCk(j + 1, 2) * pow(10, i, MOD) * num\\n        ans %= MOD\\n        ans += num * plus\\n        ans %= MOD\\n        plus += plus2 * plus3\\n        plus2 *= 10\\n        plus3 += 1\\n        plus %= MOD\\n        plus2 %= MOD\\n        plus3 %= MOD\\n\\n    print(ans)\\n        \\n        \\nmain()\\n\", \"n = list(input())\\nl = len(n)\\nx = 1\\ny = 0\\nz = 0\\nmod = pow(10, 9) + 7\\nans = 0\\nfor i in range(l):\\n    m = int(n[l - i - 1])\\n    ans += x * m * ((l - i) * (l - i - 1) // 2)\\n    ans %= mod\\n    ans += z * m\\n    ans %= mod\\n    y += 1\\n    z += x * y\\n    z %= mod\\n    x *= 10\\n    x %= mod\\nprint(ans)\", \"import sys\\n\\ndef minp():\\n\\treturn sys.stdin.readline().strip()\\n\\ndef mint():\\n\\treturn int(minp())\\n\\ndef mints():\\n\\treturn list(map(int, minp().split()))\\n\\n#from math import ceil\\n\\ndef solve():\\n\\tMOD = int(1e9+7)\\n\\ts = minp()\\n\\tn = len(s)\\n\\tp = [0]*(n+1)\\n\\tpp = [1]*(n+1)\\n\\tp10 = 1\\n\\tfor i in range(1,n+1):\\n\\t\\tp[i] = (p[i-1]+p10*i)%MOD\\n\\t\\tpp[i] = p10\\n\\t\\tp10 = (p10*10)%MOD\\n\\tres = (int(s[0])*p[n-1])%MOD\\n\\t#print(res)\\n\\tfor i in range(1,n):\\n\\t\\t#print(int(s[i])*pp[n-i],int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))\\n\\t\\tres = (res+int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))%MOD\\n\\tprint(res)\\n\\n#for i in range(mint()):\\nsolve()\\n\", \"import sys\\ninput = sys.stdin.readline\\nfrom itertools import accumulate\\n\\nS=input().strip()\\nmod=10**9+7\\nLEN=len(S)\\n\\nANS=[0]*(LEN+1)\\nANS2=[0]*(LEN+1)\\nANS3=[0]*(LEN+1)\\n\\nfor i in range(LEN):\\n    x=int(S[LEN-1-i])\\n    \\n    k=LEN-i-1\\n    p=k*(k+1)//2\\n    ANS[i]+=x*p\\n\\n    \\n    ANS2[0]+=x\\n    ANS2[i]-=x\\n    ANS3[i]-=i*x\\n\\nANS2=list(accumulate(ANS2))\\nfor i in range(LEN+1):\\n    ANS2[i]+=ANS3[i]\\nANS2=list(accumulate(ANS2))\\n\\n#print(ANS)\\n#print(ANS2)\\n\\nA=0\\nfor i in range(LEN):\\n    A+=(ANS[i]+ANS2[i])*pow(10,i,mod)\\n    A%=mod\\n\\nprint(A)\\n\", \"s=input()\\nans=0\\nmod=10**9+7\\nn=len(s)\\nps=[0]\\ncp=1\\nfor i in range(n-1,-1,-1):\\n\\tps.append((ps[-1]+int(s[i])*cp)%mod)\\n\\tcp=cp*10%mod\\nps.reverse()\\nprefs=0\\nlastpref=0\\nfor i in range(n):\\n\\tnextdigs=ps[i+1]\\n\\tans=(ans+prefs*pow(10,n-i-1,mod)%mod+nextdigs*(i+1))%mod\\n\\tlastpref=(lastpref*10+int(s[i]))%mod\\n\\tprefs=(prefs+lastpref)%mod\\nprint(ans)\", \"s = [int(c) for c in input()][::-1]\\nn = len(s)\\n\\nmod = 1000000007\\ndef inv(x):\\n    return pow(x, mod - 2, mod)\\nteninv = inv(10)\\n\\nP = [0]\\np = 1\\nfor x in s:\\n    P.append((P[-1] + x*p) % mod)\\n    p = p*10 % mod\\n\\nQ = [0]\\nfor i in range(n+1):\\n    Q.append((Q[-1] + P[i]*pow(teninv, i, mod))%mod) \\n\\ns = 0\\nfor l in range(n):\\n    first = P[l] - P[0]\\n    s += (n - l)*first % mod\\n    s += P[n] * inv(9) % mod * (1 - inv(pow(10, n-l, mod))) % mod\\n    d = Q[n+1] - Q[l+1]\\n\\n    s = (s - d*inv(pow(teninv,l,mod))%mod) % mod\\nprint(s%mod)\\n\", \"def inv(x):\\n    return pow(x,1000000005,1000000007)\\ns=input()\\nans=0\\nn=len(s)\\nfor i in range(n-1,-1,-1):\\n    z=pow(10,n-1-i,1000000007)*int(s[i])\\n    z=z*((i)*(i+1))//2\\n    ans+=z\\n    ans%=1000000007\\n    k=n-1-i\\n    op=0\\n    op+=(pow(10,k,1000000007)*(9*k-1))\\n    op%=1000000007\\n    op+=1\\n    op=op*inv(81)\\n    op%=1000000007\\n    op=op*int(s[i])\\n    ans+=op\\n    ans%=1000000007\\nprint(ans)\\n\", \"import sys\\nimport random\\nfrom fractions import Fraction\\nfrom math import *\\n \\ndef input():\\n    return sys.stdin.readline().strip()\\n \\ndef iinput():\\n    return int(input())\\n\\ndef finput():\\n    return float(input())\\n\\ndef tinput():\\n    return input().split()\\n\\ndef linput():\\n    return list(input())\\n \\ndef rinput():\\n    return list(map(int, tinput()))\\n\\ndef fiinput():\\n    return list(map(float, tinput()))\\n \\ndef rlinput():\\n    return list(map(int, input().split()))\\ndef trinput():\\n    return tuple(rinput())\\n\\ndef srlinput():\\n    return sorted(list(map(int, input().split())))\\n\\ndef NOYES(fl):\\n    if fl:\\n        print(\\\"NO\\\")\\n    else:\\n        print(\\\"YES\\\")\\ndef YESNO(fl):\\n    if fl:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n    \\ndef main():\\n    #n = iinput()\\n    #k = iinput() \\n    #m = iinput() \\n    #n = int(sys.stdin.readline().strip()) \\n    #n, k = rinput()\\n    #n, m = rinput()\\n    #m, k = rinput()\\n    #n, k, m = rinput()\\n    #n, m, k = rinput()\\n    #k, n, m = rinput()\\n    #k, m, n = rinput() \\n    #m, k, n = rinput()\\n    #m, n, k = rinput()\\n    #q = rlinput()\\n    #q = linput()\\n    s = input(); n = len(s)\\n    mod = int(1e9) + 7\\n    q = [0 for i in range(100100)]\\n    w = [0 for i in range(100100)]\\n    q[0] = 1; w[0] = 1; res = 1\\n    for i in range(1, 100100):\\n        res = (res * 10) % mod\\n        q[i] = q[i - 1] + res\\n        q[i] %= mod\\n        w[i] = w[i - 1] * 10\\n        w[i] %= mod\\n    l, res, r = 0, 0, 0\\n    for i in range(n - 1):\\n        l *= 10\\n        l += int(s[i])\\n        l %= mod\\n        res += l * q[n - 2 - i] % mod\\n        res %= mod\\n    for i in range(n - 1, 0, -1):\\n        r += w[n - 1 - i] * int(s[i])\\n        r %= mod\\n        res += r * i % mod\\n        res %= mod\\n    print(res)\\n    \\n    \\n        \\n\\n            \\n        \\n    \\n                \\n    \\n    \\n    \\n            \\n    \\n        \\n    \\n\\nfor i in range(1):\\n    main()\\n\"]",
        "difficulty": "interview",
        "input": "117223418\n",
        "output": "132461189\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1422/C"
    },
    {
        "id": 239,
        "task_id": 1663,
        "test_case_id": 10,
        "question": "Sometimes it is not easy to come to an agreement in a bargain. Right now Sasha and Vova can't come to an agreement: Sasha names a price as high as possible, then Vova wants to remove as many digits from the price as possible. In more details, Sasha names some integer price $n$, Vova removes a non-empty substring of (consecutive) digits from the price, the remaining digits close the gap, and the resulting integer is the price.\n\nFor example, is Sasha names $1213121$, Vova can remove the substring $1312$, and the result is $121$.\n\nIt is allowed for result to contain leading zeros. If Vova removes all digits, the price is considered to be $0$.\n\nSasha wants to come up with some constraints so that Vova can't just remove all digits, but he needs some arguments supporting the constraints. To start with, he wants to compute the sum of all possible resulting prices after Vova's move.\n\nHelp Sasha to compute this sum. Since the answer can be very large, print it modulo $10^9 + 7$.\n\n\n-----Input-----\n\nThe first and only line contains a single integer $n$ ($1 \\le n < 10^{10^5}$).\n\n\n-----Output-----\n\nIn the only line print the required sum modulo $10^9 + 7$.\n\n\n-----Examples-----\nInput\n107\n\nOutput\n42\n\nInput\n100500100500\n\nOutput\n428101984\n\n\n\n-----Note-----\n\nConsider the first example.\n\nVova can choose to remove $1$, $0$, $7$, $10$, $07$, or $107$. The results are $07$, $17$, $10$, $7$, $1$, $0$. Their sum is $42$.",
        "solutions": "[\"s=input();M=10**9+7;o=u=v=0;n=len(s)\\nfor i in range(n):c=int(s[i]);u+=v;v=(10*v+c)%M;o+=pow(10,n-i-1,M)*((i*i+i)//2*c+u)\\nprint(o%M)\", \"mod = int(1e9+7)\\ns = input()\\nn = len(s)\\npref = [0] * (n+1)\\nfor i in range(n):\\n    pref[i+1] = (int(s[i]) + pref[i]*10) % mod\\nfor i in range(n):\\n    pref[i+1] = (pref[i+1] + pref[i]) % mod\\n\\nres = 0\\nacc = 0\\nfor i in range(n, 0, -1):\\n    res += pref[i-1] * pow(10, n-i, mod) + i*acc\\n    res %= mod\\n    acc = acc + int(s[i-1]) * pow(10, n-i, mod) % mod\\nprint(res)\\n\", \"import sys\\nz=sys.stdin.readline\\nM=10**9+7\\nn=[*map(int,z().strip())]\\nl=len(n)\\np=[0]\\nfor i in range(l):p.append(p[-1]+n[i])\\ns=0\\nv=(l*l-l)//2\\nd=1\\nfor i in range(1,l):\\n    r=p[l-i]*i+v*n[l-i]\\n    s=(s+r*d)%M\\n    d=(d*10)%M\\n    v-=l-i\\nprint(s)\", \"n = input().strip()\\nM = 1000000007\\nl = len(n)\\n\\na = 0\\nb = 0\\nfor i,c in enumerate(n[::-1]):\\n\\tc = int(c)\\n\\tp = l - 1 - i\\n\\ta += p * (p + 1) // 2 * c * pow(10, i, M)\\n\\ta += b * c\\n\\ta %= M\\n\\tb += (i+1) * pow(10, i, M)\\n\\tb %= M\\nprint(a)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nMOD = 10 ** 9 + 7\\nN = 10 ** 5 + 100\\n\\nfact = [0 for _ in range(N)]\\ninvfact = [0 for _ in range(N)]\\nfact[0] = 1\\nfor i in range(1, N):\\n    fact[i] = fact[i - 1] * i % MOD\\n\\ninvfact[N - 1] = pow(fact[N - 1], MOD - 2, MOD)\\n\\nfor i in range(N - 2, -1, -1):\\n    invfact[i] = invfact[i + 1] * (i + 1) % MOD\\ndef nCk(n, k):\\n    if k < 0 or n < k:\\n        return 0\\n    else:\\n        return fact[n] * invfact[k] * invfact[n - k] % MOD\\n\\ndef main():\\n    n = input().strip()\\n    ans = 0\\n    l = len(n)\\n    plus = 0\\n    plus2 = 1\\n    plus3 = 1\\n    for i, str_num in enumerate(n[::-1]):\\n        num = int(str_num)\\n        j = l - i - 1\\n        ans += nCk(j + 1, 2) * pow(10, i, MOD) * num\\n        ans %= MOD\\n        ans += num * plus\\n        ans %= MOD\\n        plus += plus2 * plus3\\n        plus2 *= 10\\n        plus3 += 1\\n        plus %= MOD\\n        plus2 %= MOD\\n        plus3 %= MOD\\n\\n    print(ans)\\n        \\n        \\nmain()\\n\", \"n = list(input())\\nl = len(n)\\nx = 1\\ny = 0\\nz = 0\\nmod = pow(10, 9) + 7\\nans = 0\\nfor i in range(l):\\n    m = int(n[l - i - 1])\\n    ans += x * m * ((l - i) * (l - i - 1) // 2)\\n    ans %= mod\\n    ans += z * m\\n    ans %= mod\\n    y += 1\\n    z += x * y\\n    z %= mod\\n    x *= 10\\n    x %= mod\\nprint(ans)\", \"import sys\\n\\ndef minp():\\n\\treturn sys.stdin.readline().strip()\\n\\ndef mint():\\n\\treturn int(minp())\\n\\ndef mints():\\n\\treturn list(map(int, minp().split()))\\n\\n#from math import ceil\\n\\ndef solve():\\n\\tMOD = int(1e9+7)\\n\\ts = minp()\\n\\tn = len(s)\\n\\tp = [0]*(n+1)\\n\\tpp = [1]*(n+1)\\n\\tp10 = 1\\n\\tfor i in range(1,n+1):\\n\\t\\tp[i] = (p[i-1]+p10*i)%MOD\\n\\t\\tpp[i] = p10\\n\\t\\tp10 = (p10*10)%MOD\\n\\tres = (int(s[0])*p[n-1])%MOD\\n\\t#print(res)\\n\\tfor i in range(1,n):\\n\\t\\t#print(int(s[i])*pp[n-i],int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))\\n\\t\\tres = (res+int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))%MOD\\n\\tprint(res)\\n\\n#for i in range(mint()):\\nsolve()\\n\", \"import sys\\ninput = sys.stdin.readline\\nfrom itertools import accumulate\\n\\nS=input().strip()\\nmod=10**9+7\\nLEN=len(S)\\n\\nANS=[0]*(LEN+1)\\nANS2=[0]*(LEN+1)\\nANS3=[0]*(LEN+1)\\n\\nfor i in range(LEN):\\n    x=int(S[LEN-1-i])\\n    \\n    k=LEN-i-1\\n    p=k*(k+1)//2\\n    ANS[i]+=x*p\\n\\n    \\n    ANS2[0]+=x\\n    ANS2[i]-=x\\n    ANS3[i]-=i*x\\n\\nANS2=list(accumulate(ANS2))\\nfor i in range(LEN+1):\\n    ANS2[i]+=ANS3[i]\\nANS2=list(accumulate(ANS2))\\n\\n#print(ANS)\\n#print(ANS2)\\n\\nA=0\\nfor i in range(LEN):\\n    A+=(ANS[i]+ANS2[i])*pow(10,i,mod)\\n    A%=mod\\n\\nprint(A)\\n\", \"s=input()\\nans=0\\nmod=10**9+7\\nn=len(s)\\nps=[0]\\ncp=1\\nfor i in range(n-1,-1,-1):\\n\\tps.append((ps[-1]+int(s[i])*cp)%mod)\\n\\tcp=cp*10%mod\\nps.reverse()\\nprefs=0\\nlastpref=0\\nfor i in range(n):\\n\\tnextdigs=ps[i+1]\\n\\tans=(ans+prefs*pow(10,n-i-1,mod)%mod+nextdigs*(i+1))%mod\\n\\tlastpref=(lastpref*10+int(s[i]))%mod\\n\\tprefs=(prefs+lastpref)%mod\\nprint(ans)\", \"s = [int(c) for c in input()][::-1]\\nn = len(s)\\n\\nmod = 1000000007\\ndef inv(x):\\n    return pow(x, mod - 2, mod)\\nteninv = inv(10)\\n\\nP = [0]\\np = 1\\nfor x in s:\\n    P.append((P[-1] + x*p) % mod)\\n    p = p*10 % mod\\n\\nQ = [0]\\nfor i in range(n+1):\\n    Q.append((Q[-1] + P[i]*pow(teninv, i, mod))%mod) \\n\\ns = 0\\nfor l in range(n):\\n    first = P[l] - P[0]\\n    s += (n - l)*first % mod\\n    s += P[n] * inv(9) % mod * (1 - inv(pow(10, n-l, mod))) % mod\\n    d = Q[n+1] - Q[l+1]\\n\\n    s = (s - d*inv(pow(teninv,l,mod))%mod) % mod\\nprint(s%mod)\\n\", \"def inv(x):\\n    return pow(x,1000000005,1000000007)\\ns=input()\\nans=0\\nn=len(s)\\nfor i in range(n-1,-1,-1):\\n    z=pow(10,n-1-i,1000000007)*int(s[i])\\n    z=z*((i)*(i+1))//2\\n    ans+=z\\n    ans%=1000000007\\n    k=n-1-i\\n    op=0\\n    op+=(pow(10,k,1000000007)*(9*k-1))\\n    op%=1000000007\\n    op+=1\\n    op=op*inv(81)\\n    op%=1000000007\\n    op=op*int(s[i])\\n    ans+=op\\n    ans%=1000000007\\nprint(ans)\\n\", \"import sys\\nimport random\\nfrom fractions import Fraction\\nfrom math import *\\n \\ndef input():\\n    return sys.stdin.readline().strip()\\n \\ndef iinput():\\n    return int(input())\\n\\ndef finput():\\n    return float(input())\\n\\ndef tinput():\\n    return input().split()\\n\\ndef linput():\\n    return list(input())\\n \\ndef rinput():\\n    return list(map(int, tinput()))\\n\\ndef fiinput():\\n    return list(map(float, tinput()))\\n \\ndef rlinput():\\n    return list(map(int, input().split()))\\ndef trinput():\\n    return tuple(rinput())\\n\\ndef srlinput():\\n    return sorted(list(map(int, input().split())))\\n\\ndef NOYES(fl):\\n    if fl:\\n        print(\\\"NO\\\")\\n    else:\\n        print(\\\"YES\\\")\\ndef YESNO(fl):\\n    if fl:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n    \\ndef main():\\n    #n = iinput()\\n    #k = iinput() \\n    #m = iinput() \\n    #n = int(sys.stdin.readline().strip()) \\n    #n, k = rinput()\\n    #n, m = rinput()\\n    #m, k = rinput()\\n    #n, k, m = rinput()\\n    #n, m, k = rinput()\\n    #k, n, m = rinput()\\n    #k, m, n = rinput() \\n    #m, k, n = rinput()\\n    #m, n, k = rinput()\\n    #q = rlinput()\\n    #q = linput()\\n    s = input(); n = len(s)\\n    mod = int(1e9) + 7\\n    q = [0 for i in range(100100)]\\n    w = [0 for i in range(100100)]\\n    q[0] = 1; w[0] = 1; res = 1\\n    for i in range(1, 100100):\\n        res = (res * 10) % mod\\n        q[i] = q[i - 1] + res\\n        q[i] %= mod\\n        w[i] = w[i - 1] * 10\\n        w[i] %= mod\\n    l, res, r = 0, 0, 0\\n    for i in range(n - 1):\\n        l *= 10\\n        l += int(s[i])\\n        l %= mod\\n        res += l * q[n - 2 - i] % mod\\n        res %= mod\\n    for i in range(n - 1, 0, -1):\\n        r += w[n - 1 - i] * int(s[i])\\n        r %= mod\\n        res += r * i % mod\\n        res %= mod\\n    print(res)\\n    \\n    \\n        \\n\\n            \\n        \\n    \\n                \\n    \\n    \\n    \\n            \\n    \\n        \\n    \\n\\nfor i in range(1):\\n    main()\\n\"]",
        "difficulty": "interview",
        "input": "631782284\n",
        "output": "587995301\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1422/C"
    },
    {
        "id": 240,
        "task_id": 1663,
        "test_case_id": 11,
        "question": "Sometimes it is not easy to come to an agreement in a bargain. Right now Sasha and Vova can't come to an agreement: Sasha names a price as high as possible, then Vova wants to remove as many digits from the price as possible. In more details, Sasha names some integer price $n$, Vova removes a non-empty substring of (consecutive) digits from the price, the remaining digits close the gap, and the resulting integer is the price.\n\nFor example, is Sasha names $1213121$, Vova can remove the substring $1312$, and the result is $121$.\n\nIt is allowed for result to contain leading zeros. If Vova removes all digits, the price is considered to be $0$.\n\nSasha wants to come up with some constraints so that Vova can't just remove all digits, but he needs some arguments supporting the constraints. To start with, he wants to compute the sum of all possible resulting prices after Vova's move.\n\nHelp Sasha to compute this sum. Since the answer can be very large, print it modulo $10^9 + 7$.\n\n\n-----Input-----\n\nThe first and only line contains a single integer $n$ ($1 \\le n < 10^{10^5}$).\n\n\n-----Output-----\n\nIn the only line print the required sum modulo $10^9 + 7$.\n\n\n-----Examples-----\nInput\n107\n\nOutput\n42\n\nInput\n100500100500\n\nOutput\n428101984\n\n\n\n-----Note-----\n\nConsider the first example.\n\nVova can choose to remove $1$, $0$, $7$, $10$, $07$, or $107$. The results are $07$, $17$, $10$, $7$, $1$, $0$. Their sum is $42$.",
        "solutions": "[\"s=input();M=10**9+7;o=u=v=0;n=len(s)\\nfor i in range(n):c=int(s[i]);u+=v;v=(10*v+c)%M;o+=pow(10,n-i-1,M)*((i*i+i)//2*c+u)\\nprint(o%M)\", \"mod = int(1e9+7)\\ns = input()\\nn = len(s)\\npref = [0] * (n+1)\\nfor i in range(n):\\n    pref[i+1] = (int(s[i]) + pref[i]*10) % mod\\nfor i in range(n):\\n    pref[i+1] = (pref[i+1] + pref[i]) % mod\\n\\nres = 0\\nacc = 0\\nfor i in range(n, 0, -1):\\n    res += pref[i-1] * pow(10, n-i, mod) + i*acc\\n    res %= mod\\n    acc = acc + int(s[i-1]) * pow(10, n-i, mod) % mod\\nprint(res)\\n\", \"import sys\\nz=sys.stdin.readline\\nM=10**9+7\\nn=[*map(int,z().strip())]\\nl=len(n)\\np=[0]\\nfor i in range(l):p.append(p[-1]+n[i])\\ns=0\\nv=(l*l-l)//2\\nd=1\\nfor i in range(1,l):\\n    r=p[l-i]*i+v*n[l-i]\\n    s=(s+r*d)%M\\n    d=(d*10)%M\\n    v-=l-i\\nprint(s)\", \"n = input().strip()\\nM = 1000000007\\nl = len(n)\\n\\na = 0\\nb = 0\\nfor i,c in enumerate(n[::-1]):\\n\\tc = int(c)\\n\\tp = l - 1 - i\\n\\ta += p * (p + 1) // 2 * c * pow(10, i, M)\\n\\ta += b * c\\n\\ta %= M\\n\\tb += (i+1) * pow(10, i, M)\\n\\tb %= M\\nprint(a)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nMOD = 10 ** 9 + 7\\nN = 10 ** 5 + 100\\n\\nfact = [0 for _ in range(N)]\\ninvfact = [0 for _ in range(N)]\\nfact[0] = 1\\nfor i in range(1, N):\\n    fact[i] = fact[i - 1] * i % MOD\\n\\ninvfact[N - 1] = pow(fact[N - 1], MOD - 2, MOD)\\n\\nfor i in range(N - 2, -1, -1):\\n    invfact[i] = invfact[i + 1] * (i + 1) % MOD\\ndef nCk(n, k):\\n    if k < 0 or n < k:\\n        return 0\\n    else:\\n        return fact[n] * invfact[k] * invfact[n - k] % MOD\\n\\ndef main():\\n    n = input().strip()\\n    ans = 0\\n    l = len(n)\\n    plus = 0\\n    plus2 = 1\\n    plus3 = 1\\n    for i, str_num in enumerate(n[::-1]):\\n        num = int(str_num)\\n        j = l - i - 1\\n        ans += nCk(j + 1, 2) * pow(10, i, MOD) * num\\n        ans %= MOD\\n        ans += num * plus\\n        ans %= MOD\\n        plus += plus2 * plus3\\n        plus2 *= 10\\n        plus3 += 1\\n        plus %= MOD\\n        plus2 %= MOD\\n        plus3 %= MOD\\n\\n    print(ans)\\n        \\n        \\nmain()\\n\", \"n = list(input())\\nl = len(n)\\nx = 1\\ny = 0\\nz = 0\\nmod = pow(10, 9) + 7\\nans = 0\\nfor i in range(l):\\n    m = int(n[l - i - 1])\\n    ans += x * m * ((l - i) * (l - i - 1) // 2)\\n    ans %= mod\\n    ans += z * m\\n    ans %= mod\\n    y += 1\\n    z += x * y\\n    z %= mod\\n    x *= 10\\n    x %= mod\\nprint(ans)\", \"import sys\\n\\ndef minp():\\n\\treturn sys.stdin.readline().strip()\\n\\ndef mint():\\n\\treturn int(minp())\\n\\ndef mints():\\n\\treturn list(map(int, minp().split()))\\n\\n#from math import ceil\\n\\ndef solve():\\n\\tMOD = int(1e9+7)\\n\\ts = minp()\\n\\tn = len(s)\\n\\tp = [0]*(n+1)\\n\\tpp = [1]*(n+1)\\n\\tp10 = 1\\n\\tfor i in range(1,n+1):\\n\\t\\tp[i] = (p[i-1]+p10*i)%MOD\\n\\t\\tpp[i] = p10\\n\\t\\tp10 = (p10*10)%MOD\\n\\tres = (int(s[0])*p[n-1])%MOD\\n\\t#print(res)\\n\\tfor i in range(1,n):\\n\\t\\t#print(int(s[i])*pp[n-i],int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))\\n\\t\\tres = (res+int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))%MOD\\n\\tprint(res)\\n\\n#for i in range(mint()):\\nsolve()\\n\", \"import sys\\ninput = sys.stdin.readline\\nfrom itertools import accumulate\\n\\nS=input().strip()\\nmod=10**9+7\\nLEN=len(S)\\n\\nANS=[0]*(LEN+1)\\nANS2=[0]*(LEN+1)\\nANS3=[0]*(LEN+1)\\n\\nfor i in range(LEN):\\n    x=int(S[LEN-1-i])\\n    \\n    k=LEN-i-1\\n    p=k*(k+1)//2\\n    ANS[i]+=x*p\\n\\n    \\n    ANS2[0]+=x\\n    ANS2[i]-=x\\n    ANS3[i]-=i*x\\n\\nANS2=list(accumulate(ANS2))\\nfor i in range(LEN+1):\\n    ANS2[i]+=ANS3[i]\\nANS2=list(accumulate(ANS2))\\n\\n#print(ANS)\\n#print(ANS2)\\n\\nA=0\\nfor i in range(LEN):\\n    A+=(ANS[i]+ANS2[i])*pow(10,i,mod)\\n    A%=mod\\n\\nprint(A)\\n\", \"s=input()\\nans=0\\nmod=10**9+7\\nn=len(s)\\nps=[0]\\ncp=1\\nfor i in range(n-1,-1,-1):\\n\\tps.append((ps[-1]+int(s[i])*cp)%mod)\\n\\tcp=cp*10%mod\\nps.reverse()\\nprefs=0\\nlastpref=0\\nfor i in range(n):\\n\\tnextdigs=ps[i+1]\\n\\tans=(ans+prefs*pow(10,n-i-1,mod)%mod+nextdigs*(i+1))%mod\\n\\tlastpref=(lastpref*10+int(s[i]))%mod\\n\\tprefs=(prefs+lastpref)%mod\\nprint(ans)\", \"s = [int(c) for c in input()][::-1]\\nn = len(s)\\n\\nmod = 1000000007\\ndef inv(x):\\n    return pow(x, mod - 2, mod)\\nteninv = inv(10)\\n\\nP = [0]\\np = 1\\nfor x in s:\\n    P.append((P[-1] + x*p) % mod)\\n    p = p*10 % mod\\n\\nQ = [0]\\nfor i in range(n+1):\\n    Q.append((Q[-1] + P[i]*pow(teninv, i, mod))%mod) \\n\\ns = 0\\nfor l in range(n):\\n    first = P[l] - P[0]\\n    s += (n - l)*first % mod\\n    s += P[n] * inv(9) % mod * (1 - inv(pow(10, n-l, mod))) % mod\\n    d = Q[n+1] - Q[l+1]\\n\\n    s = (s - d*inv(pow(teninv,l,mod))%mod) % mod\\nprint(s%mod)\\n\", \"def inv(x):\\n    return pow(x,1000000005,1000000007)\\ns=input()\\nans=0\\nn=len(s)\\nfor i in range(n-1,-1,-1):\\n    z=pow(10,n-1-i,1000000007)*int(s[i])\\n    z=z*((i)*(i+1))//2\\n    ans+=z\\n    ans%=1000000007\\n    k=n-1-i\\n    op=0\\n    op+=(pow(10,k,1000000007)*(9*k-1))\\n    op%=1000000007\\n    op+=1\\n    op=op*inv(81)\\n    op%=1000000007\\n    op=op*int(s[i])\\n    ans+=op\\n    ans%=1000000007\\nprint(ans)\\n\", \"import sys\\nimport random\\nfrom fractions import Fraction\\nfrom math import *\\n \\ndef input():\\n    return sys.stdin.readline().strip()\\n \\ndef iinput():\\n    return int(input())\\n\\ndef finput():\\n    return float(input())\\n\\ndef tinput():\\n    return input().split()\\n\\ndef linput():\\n    return list(input())\\n \\ndef rinput():\\n    return list(map(int, tinput()))\\n\\ndef fiinput():\\n    return list(map(float, tinput()))\\n \\ndef rlinput():\\n    return list(map(int, input().split()))\\ndef trinput():\\n    return tuple(rinput())\\n\\ndef srlinput():\\n    return sorted(list(map(int, input().split())))\\n\\ndef NOYES(fl):\\n    if fl:\\n        print(\\\"NO\\\")\\n    else:\\n        print(\\\"YES\\\")\\ndef YESNO(fl):\\n    if fl:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n    \\ndef main():\\n    #n = iinput()\\n    #k = iinput() \\n    #m = iinput() \\n    #n = int(sys.stdin.readline().strip()) \\n    #n, k = rinput()\\n    #n, m = rinput()\\n    #m, k = rinput()\\n    #n, k, m = rinput()\\n    #n, m, k = rinput()\\n    #k, n, m = rinput()\\n    #k, m, n = rinput() \\n    #m, k, n = rinput()\\n    #m, n, k = rinput()\\n    #q = rlinput()\\n    #q = linput()\\n    s = input(); n = len(s)\\n    mod = int(1e9) + 7\\n    q = [0 for i in range(100100)]\\n    w = [0 for i in range(100100)]\\n    q[0] = 1; w[0] = 1; res = 1\\n    for i in range(1, 100100):\\n        res = (res * 10) % mod\\n        q[i] = q[i - 1] + res\\n        q[i] %= mod\\n        w[i] = w[i - 1] * 10\\n        w[i] %= mod\\n    l, res, r = 0, 0, 0\\n    for i in range(n - 1):\\n        l *= 10\\n        l += int(s[i])\\n        l %= mod\\n        res += l * q[n - 2 - i] % mod\\n        res %= mod\\n    for i in range(n - 1, 0, -1):\\n        r += w[n - 1 - i] * int(s[i])\\n        r %= mod\\n        res += r * i % mod\\n        res %= mod\\n    print(res)\\n    \\n    \\n        \\n\\n            \\n        \\n    \\n                \\n    \\n    \\n    \\n            \\n    \\n        \\n    \\n\\nfor i in range(1):\\n    main()\\n\"]",
        "difficulty": "interview",
        "input": "999999999\n",
        "output": "987654276\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1422/C"
    },
    {
        "id": 241,
        "task_id": 1663,
        "test_case_id": 12,
        "question": "Sometimes it is not easy to come to an agreement in a bargain. Right now Sasha and Vova can't come to an agreement: Sasha names a price as high as possible, then Vova wants to remove as many digits from the price as possible. In more details, Sasha names some integer price $n$, Vova removes a non-empty substring of (consecutive) digits from the price, the remaining digits close the gap, and the resulting integer is the price.\n\nFor example, is Sasha names $1213121$, Vova can remove the substring $1312$, and the result is $121$.\n\nIt is allowed for result to contain leading zeros. If Vova removes all digits, the price is considered to be $0$.\n\nSasha wants to come up with some constraints so that Vova can't just remove all digits, but he needs some arguments supporting the constraints. To start with, he wants to compute the sum of all possible resulting prices after Vova's move.\n\nHelp Sasha to compute this sum. Since the answer can be very large, print it modulo $10^9 + 7$.\n\n\n-----Input-----\n\nThe first and only line contains a single integer $n$ ($1 \\le n < 10^{10^5}$).\n\n\n-----Output-----\n\nIn the only line print the required sum modulo $10^9 + 7$.\n\n\n-----Examples-----\nInput\n107\n\nOutput\n42\n\nInput\n100500100500\n\nOutput\n428101984\n\n\n\n-----Note-----\n\nConsider the first example.\n\nVova can choose to remove $1$, $0$, $7$, $10$, $07$, or $107$. The results are $07$, $17$, $10$, $7$, $1$, $0$. Their sum is $42$.",
        "solutions": "[\"s=input();M=10**9+7;o=u=v=0;n=len(s)\\nfor i in range(n):c=int(s[i]);u+=v;v=(10*v+c)%M;o+=pow(10,n-i-1,M)*((i*i+i)//2*c+u)\\nprint(o%M)\", \"mod = int(1e9+7)\\ns = input()\\nn = len(s)\\npref = [0] * (n+1)\\nfor i in range(n):\\n    pref[i+1] = (int(s[i]) + pref[i]*10) % mod\\nfor i in range(n):\\n    pref[i+1] = (pref[i+1] + pref[i]) % mod\\n\\nres = 0\\nacc = 0\\nfor i in range(n, 0, -1):\\n    res += pref[i-1] * pow(10, n-i, mod) + i*acc\\n    res %= mod\\n    acc = acc + int(s[i-1]) * pow(10, n-i, mod) % mod\\nprint(res)\\n\", \"import sys\\nz=sys.stdin.readline\\nM=10**9+7\\nn=[*map(int,z().strip())]\\nl=len(n)\\np=[0]\\nfor i in range(l):p.append(p[-1]+n[i])\\ns=0\\nv=(l*l-l)//2\\nd=1\\nfor i in range(1,l):\\n    r=p[l-i]*i+v*n[l-i]\\n    s=(s+r*d)%M\\n    d=(d*10)%M\\n    v-=l-i\\nprint(s)\", \"n = input().strip()\\nM = 1000000007\\nl = len(n)\\n\\na = 0\\nb = 0\\nfor i,c in enumerate(n[::-1]):\\n\\tc = int(c)\\n\\tp = l - 1 - i\\n\\ta += p * (p + 1) // 2 * c * pow(10, i, M)\\n\\ta += b * c\\n\\ta %= M\\n\\tb += (i+1) * pow(10, i, M)\\n\\tb %= M\\nprint(a)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nMOD = 10 ** 9 + 7\\nN = 10 ** 5 + 100\\n\\nfact = [0 for _ in range(N)]\\ninvfact = [0 for _ in range(N)]\\nfact[0] = 1\\nfor i in range(1, N):\\n    fact[i] = fact[i - 1] * i % MOD\\n\\ninvfact[N - 1] = pow(fact[N - 1], MOD - 2, MOD)\\n\\nfor i in range(N - 2, -1, -1):\\n    invfact[i] = invfact[i + 1] * (i + 1) % MOD\\ndef nCk(n, k):\\n    if k < 0 or n < k:\\n        return 0\\n    else:\\n        return fact[n] * invfact[k] * invfact[n - k] % MOD\\n\\ndef main():\\n    n = input().strip()\\n    ans = 0\\n    l = len(n)\\n    plus = 0\\n    plus2 = 1\\n    plus3 = 1\\n    for i, str_num in enumerate(n[::-1]):\\n        num = int(str_num)\\n        j = l - i - 1\\n        ans += nCk(j + 1, 2) * pow(10, i, MOD) * num\\n        ans %= MOD\\n        ans += num * plus\\n        ans %= MOD\\n        plus += plus2 * plus3\\n        plus2 *= 10\\n        plus3 += 1\\n        plus %= MOD\\n        plus2 %= MOD\\n        plus3 %= MOD\\n\\n    print(ans)\\n        \\n        \\nmain()\\n\", \"n = list(input())\\nl = len(n)\\nx = 1\\ny = 0\\nz = 0\\nmod = pow(10, 9) + 7\\nans = 0\\nfor i in range(l):\\n    m = int(n[l - i - 1])\\n    ans += x * m * ((l - i) * (l - i - 1) // 2)\\n    ans %= mod\\n    ans += z * m\\n    ans %= mod\\n    y += 1\\n    z += x * y\\n    z %= mod\\n    x *= 10\\n    x %= mod\\nprint(ans)\", \"import sys\\n\\ndef minp():\\n\\treturn sys.stdin.readline().strip()\\n\\ndef mint():\\n\\treturn int(minp())\\n\\ndef mints():\\n\\treturn list(map(int, minp().split()))\\n\\n#from math import ceil\\n\\ndef solve():\\n\\tMOD = int(1e9+7)\\n\\ts = minp()\\n\\tn = len(s)\\n\\tp = [0]*(n+1)\\n\\tpp = [1]*(n+1)\\n\\tp10 = 1\\n\\tfor i in range(1,n+1):\\n\\t\\tp[i] = (p[i-1]+p10*i)%MOD\\n\\t\\tpp[i] = p10\\n\\t\\tp10 = (p10*10)%MOD\\n\\tres = (int(s[0])*p[n-1])%MOD\\n\\t#print(res)\\n\\tfor i in range(1,n):\\n\\t\\t#print(int(s[i])*pp[n-i],int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))\\n\\t\\tres = (res+int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))%MOD\\n\\tprint(res)\\n\\n#for i in range(mint()):\\nsolve()\\n\", \"import sys\\ninput = sys.stdin.readline\\nfrom itertools import accumulate\\n\\nS=input().strip()\\nmod=10**9+7\\nLEN=len(S)\\n\\nANS=[0]*(LEN+1)\\nANS2=[0]*(LEN+1)\\nANS3=[0]*(LEN+1)\\n\\nfor i in range(LEN):\\n    x=int(S[LEN-1-i])\\n    \\n    k=LEN-i-1\\n    p=k*(k+1)//2\\n    ANS[i]+=x*p\\n\\n    \\n    ANS2[0]+=x\\n    ANS2[i]-=x\\n    ANS3[i]-=i*x\\n\\nANS2=list(accumulate(ANS2))\\nfor i in range(LEN+1):\\n    ANS2[i]+=ANS3[i]\\nANS2=list(accumulate(ANS2))\\n\\n#print(ANS)\\n#print(ANS2)\\n\\nA=0\\nfor i in range(LEN):\\n    A+=(ANS[i]+ANS2[i])*pow(10,i,mod)\\n    A%=mod\\n\\nprint(A)\\n\", \"s=input()\\nans=0\\nmod=10**9+7\\nn=len(s)\\nps=[0]\\ncp=1\\nfor i in range(n-1,-1,-1):\\n\\tps.append((ps[-1]+int(s[i])*cp)%mod)\\n\\tcp=cp*10%mod\\nps.reverse()\\nprefs=0\\nlastpref=0\\nfor i in range(n):\\n\\tnextdigs=ps[i+1]\\n\\tans=(ans+prefs*pow(10,n-i-1,mod)%mod+nextdigs*(i+1))%mod\\n\\tlastpref=(lastpref*10+int(s[i]))%mod\\n\\tprefs=(prefs+lastpref)%mod\\nprint(ans)\", \"s = [int(c) for c in input()][::-1]\\nn = len(s)\\n\\nmod = 1000000007\\ndef inv(x):\\n    return pow(x, mod - 2, mod)\\nteninv = inv(10)\\n\\nP = [0]\\np = 1\\nfor x in s:\\n    P.append((P[-1] + x*p) % mod)\\n    p = p*10 % mod\\n\\nQ = [0]\\nfor i in range(n+1):\\n    Q.append((Q[-1] + P[i]*pow(teninv, i, mod))%mod) \\n\\ns = 0\\nfor l in range(n):\\n    first = P[l] - P[0]\\n    s += (n - l)*first % mod\\n    s += P[n] * inv(9) % mod * (1 - inv(pow(10, n-l, mod))) % mod\\n    d = Q[n+1] - Q[l+1]\\n\\n    s = (s - d*inv(pow(teninv,l,mod))%mod) % mod\\nprint(s%mod)\\n\", \"def inv(x):\\n    return pow(x,1000000005,1000000007)\\ns=input()\\nans=0\\nn=len(s)\\nfor i in range(n-1,-1,-1):\\n    z=pow(10,n-1-i,1000000007)*int(s[i])\\n    z=z*((i)*(i+1))//2\\n    ans+=z\\n    ans%=1000000007\\n    k=n-1-i\\n    op=0\\n    op+=(pow(10,k,1000000007)*(9*k-1))\\n    op%=1000000007\\n    op+=1\\n    op=op*inv(81)\\n    op%=1000000007\\n    op=op*int(s[i])\\n    ans+=op\\n    ans%=1000000007\\nprint(ans)\\n\", \"import sys\\nimport random\\nfrom fractions import Fraction\\nfrom math import *\\n \\ndef input():\\n    return sys.stdin.readline().strip()\\n \\ndef iinput():\\n    return int(input())\\n\\ndef finput():\\n    return float(input())\\n\\ndef tinput():\\n    return input().split()\\n\\ndef linput():\\n    return list(input())\\n \\ndef rinput():\\n    return list(map(int, tinput()))\\n\\ndef fiinput():\\n    return list(map(float, tinput()))\\n \\ndef rlinput():\\n    return list(map(int, input().split()))\\ndef trinput():\\n    return tuple(rinput())\\n\\ndef srlinput():\\n    return sorted(list(map(int, input().split())))\\n\\ndef NOYES(fl):\\n    if fl:\\n        print(\\\"NO\\\")\\n    else:\\n        print(\\\"YES\\\")\\ndef YESNO(fl):\\n    if fl:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n    \\ndef main():\\n    #n = iinput()\\n    #k = iinput() \\n    #m = iinput() \\n    #n = int(sys.stdin.readline().strip()) \\n    #n, k = rinput()\\n    #n, m = rinput()\\n    #m, k = rinput()\\n    #n, k, m = rinput()\\n    #n, m, k = rinput()\\n    #k, n, m = rinput()\\n    #k, m, n = rinput() \\n    #m, k, n = rinput()\\n    #m, n, k = rinput()\\n    #q = rlinput()\\n    #q = linput()\\n    s = input(); n = len(s)\\n    mod = int(1e9) + 7\\n    q = [0 for i in range(100100)]\\n    w = [0 for i in range(100100)]\\n    q[0] = 1; w[0] = 1; res = 1\\n    for i in range(1, 100100):\\n        res = (res * 10) % mod\\n        q[i] = q[i - 1] + res\\n        q[i] %= mod\\n        w[i] = w[i - 1] * 10\\n        w[i] %= mod\\n    l, res, r = 0, 0, 0\\n    for i in range(n - 1):\\n        l *= 10\\n        l += int(s[i])\\n        l %= mod\\n        res += l * q[n - 2 - i] % mod\\n        res %= mod\\n    for i in range(n - 1, 0, -1):\\n        r += w[n - 1 - i] * int(s[i])\\n        r %= mod\\n        res += r * i % mod\\n        res %= mod\\n    print(res)\\n    \\n    \\n        \\n\\n            \\n        \\n    \\n                \\n    \\n    \\n    \\n            \\n    \\n        \\n    \\n\\nfor i in range(1):\\n    main()\\n\"]",
        "difficulty": "interview",
        "input": "4858009126122882427521828524340976437888697258902645644032745782648911868553409977869361928273673714911638246440203138033678\n",
        "output": "327724338\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1422/C"
    },
    {
        "id": 242,
        "task_id": 1663,
        "test_case_id": 13,
        "question": "Sometimes it is not easy to come to an agreement in a bargain. Right now Sasha and Vova can't come to an agreement: Sasha names a price as high as possible, then Vova wants to remove as many digits from the price as possible. In more details, Sasha names some integer price $n$, Vova removes a non-empty substring of (consecutive) digits from the price, the remaining digits close the gap, and the resulting integer is the price.\n\nFor example, is Sasha names $1213121$, Vova can remove the substring $1312$, and the result is $121$.\n\nIt is allowed for result to contain leading zeros. If Vova removes all digits, the price is considered to be $0$.\n\nSasha wants to come up with some constraints so that Vova can't just remove all digits, but he needs some arguments supporting the constraints. To start with, he wants to compute the sum of all possible resulting prices after Vova's move.\n\nHelp Sasha to compute this sum. Since the answer can be very large, print it modulo $10^9 + 7$.\n\n\n-----Input-----\n\nThe first and only line contains a single integer $n$ ($1 \\le n < 10^{10^5}$).\n\n\n-----Output-----\n\nIn the only line print the required sum modulo $10^9 + 7$.\n\n\n-----Examples-----\nInput\n107\n\nOutput\n42\n\nInput\n100500100500\n\nOutput\n428101984\n\n\n\n-----Note-----\n\nConsider the first example.\n\nVova can choose to remove $1$, $0$, $7$, $10$, $07$, or $107$. The results are $07$, $17$, $10$, $7$, $1$, $0$. Their sum is $42$.",
        "solutions": "[\"s=input();M=10**9+7;o=u=v=0;n=len(s)\\nfor i in range(n):c=int(s[i]);u+=v;v=(10*v+c)%M;o+=pow(10,n-i-1,M)*((i*i+i)//2*c+u)\\nprint(o%M)\", \"mod = int(1e9+7)\\ns = input()\\nn = len(s)\\npref = [0] * (n+1)\\nfor i in range(n):\\n    pref[i+1] = (int(s[i]) + pref[i]*10) % mod\\nfor i in range(n):\\n    pref[i+1] = (pref[i+1] + pref[i]) % mod\\n\\nres = 0\\nacc = 0\\nfor i in range(n, 0, -1):\\n    res += pref[i-1] * pow(10, n-i, mod) + i*acc\\n    res %= mod\\n    acc = acc + int(s[i-1]) * pow(10, n-i, mod) % mod\\nprint(res)\\n\", \"import sys\\nz=sys.stdin.readline\\nM=10**9+7\\nn=[*map(int,z().strip())]\\nl=len(n)\\np=[0]\\nfor i in range(l):p.append(p[-1]+n[i])\\ns=0\\nv=(l*l-l)//2\\nd=1\\nfor i in range(1,l):\\n    r=p[l-i]*i+v*n[l-i]\\n    s=(s+r*d)%M\\n    d=(d*10)%M\\n    v-=l-i\\nprint(s)\", \"n = input().strip()\\nM = 1000000007\\nl = len(n)\\n\\na = 0\\nb = 0\\nfor i,c in enumerate(n[::-1]):\\n\\tc = int(c)\\n\\tp = l - 1 - i\\n\\ta += p * (p + 1) // 2 * c * pow(10, i, M)\\n\\ta += b * c\\n\\ta %= M\\n\\tb += (i+1) * pow(10, i, M)\\n\\tb %= M\\nprint(a)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nMOD = 10 ** 9 + 7\\nN = 10 ** 5 + 100\\n\\nfact = [0 for _ in range(N)]\\ninvfact = [0 for _ in range(N)]\\nfact[0] = 1\\nfor i in range(1, N):\\n    fact[i] = fact[i - 1] * i % MOD\\n\\ninvfact[N - 1] = pow(fact[N - 1], MOD - 2, MOD)\\n\\nfor i in range(N - 2, -1, -1):\\n    invfact[i] = invfact[i + 1] * (i + 1) % MOD\\ndef nCk(n, k):\\n    if k < 0 or n < k:\\n        return 0\\n    else:\\n        return fact[n] * invfact[k] * invfact[n - k] % MOD\\n\\ndef main():\\n    n = input().strip()\\n    ans = 0\\n    l = len(n)\\n    plus = 0\\n    plus2 = 1\\n    plus3 = 1\\n    for i, str_num in enumerate(n[::-1]):\\n        num = int(str_num)\\n        j = l - i - 1\\n        ans += nCk(j + 1, 2) * pow(10, i, MOD) * num\\n        ans %= MOD\\n        ans += num * plus\\n        ans %= MOD\\n        plus += plus2 * plus3\\n        plus2 *= 10\\n        plus3 += 1\\n        plus %= MOD\\n        plus2 %= MOD\\n        plus3 %= MOD\\n\\n    print(ans)\\n        \\n        \\nmain()\\n\", \"n = list(input())\\nl = len(n)\\nx = 1\\ny = 0\\nz = 0\\nmod = pow(10, 9) + 7\\nans = 0\\nfor i in range(l):\\n    m = int(n[l - i - 1])\\n    ans += x * m * ((l - i) * (l - i - 1) // 2)\\n    ans %= mod\\n    ans += z * m\\n    ans %= mod\\n    y += 1\\n    z += x * y\\n    z %= mod\\n    x *= 10\\n    x %= mod\\nprint(ans)\", \"import sys\\n\\ndef minp():\\n\\treturn sys.stdin.readline().strip()\\n\\ndef mint():\\n\\treturn int(minp())\\n\\ndef mints():\\n\\treturn list(map(int, minp().split()))\\n\\n#from math import ceil\\n\\ndef solve():\\n\\tMOD = int(1e9+7)\\n\\ts = minp()\\n\\tn = len(s)\\n\\tp = [0]*(n+1)\\n\\tpp = [1]*(n+1)\\n\\tp10 = 1\\n\\tfor i in range(1,n+1):\\n\\t\\tp[i] = (p[i-1]+p10*i)%MOD\\n\\t\\tpp[i] = p10\\n\\t\\tp10 = (p10*10)%MOD\\n\\tres = (int(s[0])*p[n-1])%MOD\\n\\t#print(res)\\n\\tfor i in range(1,n):\\n\\t\\t#print(int(s[i])*pp[n-i],int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))\\n\\t\\tres = (res+int(s[i])*(p[n-1-i] + pp[n-i]*(i)*(i+1)//2))%MOD\\n\\tprint(res)\\n\\n#for i in range(mint()):\\nsolve()\\n\", \"import sys\\ninput = sys.stdin.readline\\nfrom itertools import accumulate\\n\\nS=input().strip()\\nmod=10**9+7\\nLEN=len(S)\\n\\nANS=[0]*(LEN+1)\\nANS2=[0]*(LEN+1)\\nANS3=[0]*(LEN+1)\\n\\nfor i in range(LEN):\\n    x=int(S[LEN-1-i])\\n    \\n    k=LEN-i-1\\n    p=k*(k+1)//2\\n    ANS[i]+=x*p\\n\\n    \\n    ANS2[0]+=x\\n    ANS2[i]-=x\\n    ANS3[i]-=i*x\\n\\nANS2=list(accumulate(ANS2))\\nfor i in range(LEN+1):\\n    ANS2[i]+=ANS3[i]\\nANS2=list(accumulate(ANS2))\\n\\n#print(ANS)\\n#print(ANS2)\\n\\nA=0\\nfor i in range(LEN):\\n    A+=(ANS[i]+ANS2[i])*pow(10,i,mod)\\n    A%=mod\\n\\nprint(A)\\n\", \"s=input()\\nans=0\\nmod=10**9+7\\nn=len(s)\\nps=[0]\\ncp=1\\nfor i in range(n-1,-1,-1):\\n\\tps.append((ps[-1]+int(s[i])*cp)%mod)\\n\\tcp=cp*10%mod\\nps.reverse()\\nprefs=0\\nlastpref=0\\nfor i in range(n):\\n\\tnextdigs=ps[i+1]\\n\\tans=(ans+prefs*pow(10,n-i-1,mod)%mod+nextdigs*(i+1))%mod\\n\\tlastpref=(lastpref*10+int(s[i]))%mod\\n\\tprefs=(prefs+lastpref)%mod\\nprint(ans)\", \"s = [int(c) for c in input()][::-1]\\nn = len(s)\\n\\nmod = 1000000007\\ndef inv(x):\\n    return pow(x, mod - 2, mod)\\nteninv = inv(10)\\n\\nP = [0]\\np = 1\\nfor x in s:\\n    P.append((P[-1] + x*p) % mod)\\n    p = p*10 % mod\\n\\nQ = [0]\\nfor i in range(n+1):\\n    Q.append((Q[-1] + P[i]*pow(teninv, i, mod))%mod) \\n\\ns = 0\\nfor l in range(n):\\n    first = P[l] - P[0]\\n    s += (n - l)*first % mod\\n    s += P[n] * inv(9) % mod * (1 - inv(pow(10, n-l, mod))) % mod\\n    d = Q[n+1] - Q[l+1]\\n\\n    s = (s - d*inv(pow(teninv,l,mod))%mod) % mod\\nprint(s%mod)\\n\", \"def inv(x):\\n    return pow(x,1000000005,1000000007)\\ns=input()\\nans=0\\nn=len(s)\\nfor i in range(n-1,-1,-1):\\n    z=pow(10,n-1-i,1000000007)*int(s[i])\\n    z=z*((i)*(i+1))//2\\n    ans+=z\\n    ans%=1000000007\\n    k=n-1-i\\n    op=0\\n    op+=(pow(10,k,1000000007)*(9*k-1))\\n    op%=1000000007\\n    op+=1\\n    op=op*inv(81)\\n    op%=1000000007\\n    op=op*int(s[i])\\n    ans+=op\\n    ans%=1000000007\\nprint(ans)\\n\", \"import sys\\nimport random\\nfrom fractions import Fraction\\nfrom math import *\\n \\ndef input():\\n    return sys.stdin.readline().strip()\\n \\ndef iinput():\\n    return int(input())\\n\\ndef finput():\\n    return float(input())\\n\\ndef tinput():\\n    return input().split()\\n\\ndef linput():\\n    return list(input())\\n \\ndef rinput():\\n    return list(map(int, tinput()))\\n\\ndef fiinput():\\n    return list(map(float, tinput()))\\n \\ndef rlinput():\\n    return list(map(int, input().split()))\\ndef trinput():\\n    return tuple(rinput())\\n\\ndef srlinput():\\n    return sorted(list(map(int, input().split())))\\n\\ndef NOYES(fl):\\n    if fl:\\n        print(\\\"NO\\\")\\n    else:\\n        print(\\\"YES\\\")\\ndef YESNO(fl):\\n    if fl:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n    \\ndef main():\\n    #n = iinput()\\n    #k = iinput() \\n    #m = iinput() \\n    #n = int(sys.stdin.readline().strip()) \\n    #n, k = rinput()\\n    #n, m = rinput()\\n    #m, k = rinput()\\n    #n, k, m = rinput()\\n    #n, m, k = rinput()\\n    #k, n, m = rinput()\\n    #k, m, n = rinput() \\n    #m, k, n = rinput()\\n    #m, n, k = rinput()\\n    #q = rlinput()\\n    #q = linput()\\n    s = input(); n = len(s)\\n    mod = int(1e9) + 7\\n    q = [0 for i in range(100100)]\\n    w = [0 for i in range(100100)]\\n    q[0] = 1; w[0] = 1; res = 1\\n    for i in range(1, 100100):\\n        res = (res * 10) % mod\\n        q[i] = q[i - 1] + res\\n        q[i] %= mod\\n        w[i] = w[i - 1] * 10\\n        w[i] %= mod\\n    l, res, r = 0, 0, 0\\n    for i in range(n - 1):\\n        l *= 10\\n        l += int(s[i])\\n        l %= mod\\n        res += l * q[n - 2 - i] % mod\\n        res %= mod\\n    for i in range(n - 1, 0, -1):\\n        r += w[n - 1 - i] * int(s[i])\\n        r %= mod\\n        res += r * i % mod\\n        res %= mod\\n    print(res)\\n    \\n    \\n        \\n\\n            \\n        \\n    \\n                \\n    \\n    \\n    \\n            \\n    \\n        \\n    \\n\\nfor i in range(1):\\n    main()\\n\"]",
        "difficulty": "interview",
        "input": "8965386960152006591809984225293942587326198640196778753062530086068570301147990585166466362559764049574872079130299053141640988917032932849227639889087132375588014401073399470647913290891872985556578647384795621167114212145376047533262867548922177976893208381027336566491937276936855437908355709002439339533374267351887912532392361653303035981314497638285914959457892764665757142443996340214934182387692044841385048241173328760613302269019024624710759003987341917110042233934\n",
        "output": "36469735\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1422/C"
    },
    {
        "id": 243,
        "task_id": 2293,
        "test_case_id": 1,
        "question": "Dora the explorer has decided to use her money after several years of juicy royalties to go shopping. What better place to shop than Nlogonia?\n\nThere are $n$ stores numbered from $1$ to $n$ in Nlogonia. The $i$-th of these stores offers a positive integer $a_i$.\n\nEach day among the last $m$ days Dora bought a single integer from some of the stores. The same day, Swiper the fox bought a single integer from all the stores that Dora did not buy an integer from on that day.\n\nDora considers Swiper to be her rival, and she considers that she beat Swiper on day $i$ if and only if the least common multiple of the numbers she bought on day $i$ is strictly greater than the least common multiple of the numbers that Swiper bought on day $i$.\n\nThe least common multiple (LCM) of a collection of integers is the smallest positive integer that is divisible by all the integers in the collection.\n\nHowever, Dora forgot the values of $a_i$. Help Dora find out if there are positive integer values of $a_i$ such that she beat Swiper on every day. You don't need to find what are the possible values of $a_i$ though.\n\nNote that it is possible for some values of $a_i$ to coincide in a solution.\n\n\n-----Input-----\n\nThe first line contains integers $m$ and $n$ ($1\\leq m \\leq 50$, $1\\leq n \\leq 10^4$) — the number of days and the number of stores.\n\nAfter this $m$ lines follow, the $i$-th line starts with an integer $s_i$ ($1\\leq s_i \\leq n-1$), the number of integers Dora bought on day $i$, followed by $s_i$ distinct integers, the indices of the stores where Dora bought an integer on the $i$-th day. The indices are between $1$ and $n$.\n\n\n-----Output-----\n\nOutput must consist of a single line containing \"possible\" if there exist positive integers $a_i$ such that for each day the least common multiple of the integers bought by Dora is strictly greater than the least common multiple of the integers bought by Swiper on that day. Otherwise, print \"impossible\".\n\nNote that you don't have to restore the integers themselves.\n\n\n-----Examples-----\nInput\n2 5\n3 1 2 3\n3 3 4 5\n\nOutput\npossible\n\nInput\n10 10\n1 1\n1 2\n1 3\n1 4\n1 5\n1 6\n1 7\n1 8\n1 9\n1 10\n\nOutput\nimpossible\n\n\n\n-----Note-----\n\nIn the first sample, a possible choice for the values of the $a_i$ is $3, 4, 3, 5, 2$. On the first day, Dora buys the integers $3, 4$ and $3$, whose LCM is $12$, while Swiper buys integers $5$ and $2$, whose LCM is $10$. On the second day, Dora buys $3, 5$ and $2$, whose LCM is $30$, and Swiper buys integers $3$ and $4$, whose LCM is $12$.",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\n\\nm, n = list(map(int, input().split()))\\nDora = []\\nSwiper = []\\nall = set([i for i in range(1, n+1)])\\nfor _ in range(m):\\n    a = set(list(map(int, input().split()))[1:])\\n    Dora.append(a)\\n    Swiper.append(all.difference(a))\\n\\nflag = 1\\nfor i in range(m):\\n    for j in range(m):\\n        if Dora[i] | Swiper[j] == Swiper[j]:\\n            flag = 0\\n            break\\n    if flag == 0:\\n        break\\n\\nif flag == 1:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\\n\", \"# stdin=open('input.txt')\\nfrom sys import stdin, stdout\\ndef input():\\n\\treturn stdin.readline()[:-1]\\n\\n\\n# stdout=open('output.txt',mode='w+')\\n\\n# def print(x, end='\\\\n'):\\n# \\tstdout.write(str(x) +end)\\n\\n\\n# a, b = map(int, input().split())\\n\\n# l = list(map(int, input().split()))\\n\\n# n = int(input())\\n\\n\\n\\n\\n\\n# CODE BEGINS HERE.................\\n\\n# import copy\\nimport math\\n# import sys\\n# sys.setrecursionlimit(10**7)\\n\\nm, n = list(map(int, input().split()))\\n\\ndays = []\\nfor i in range(m):\\n\\tdays.append(set(list(map(int, input().split()))[1:]))\\npossible = True\\nfor i in range(m):\\n\\tfor j in range(i):\\n\\t\\tif not days[i].intersection(days[j]):\\n\\t\\t\\tpossible = False\\n\\t\\t\\tbreak\\n\\tif not possible:\\n\\t\\tbreak\\n\\nif possible:\\n\\tprint('possible')\\nelse:\\n\\tprint('impossible')\\n\\n#CODE ENDS HERE....................\\n\\n\\n#stdout.close()\\n\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nm,n=list(map(int,input().split()))\\n\\nD=[set(list(map(int,input().split()))[1:]) for i in range(m)]\\n\\n\\nfor i in range(m-1):\\n    for j in range(1,m):\\n        if D[i] & D[j]== set():\\n            print(\\\"impossible\\\")\\n            return\\nelse:\\n    print(\\\"possible\\\")\\n\\n\", \"def check(arr1, arr2):\\n    i1 = 0\\n    i2 = 0\\n    while True:\\n        if i1 == len(arr1) or i2 == len(arr2):\\n            return False\\n        elif arr1[i1] == arr2[i2]:\\n            return True\\n        elif arr1[i1] < arr2[i2]:\\n            i1 += 1\\n        else:\\n            i2 += 1\\n\\n\\nm, n = (int(x) for x in input().split())\\n\\nday___set = []\\nfor i in range(m):\\n    x = sorted([int(x) for x in input().split()][1:])\\n    day___set.append(x)\\n\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if not check(day___set[i], day___set[j]):\\n            print('impossible')\\n            quit()\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nD = []\\nkok = {i for i in range(1, n + 1)}\\nfor i in range(m):\\n    A = list(map(int, input().split()))\\n    D.append(set(A[1:]))\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if D[i].intersection(D[j]) == set():\\n            print('impossible')\\n            return\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nD = []\\nfor i in range(m):\\n    A = list(map(int, input().split()))\\n    D.append(set(A[1:]))\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if D[i].intersection(D[j]) == set():\\n            print('impossible')\\n            return\\nprint('possible')\\n\", \"inp = lambda cast=int: list(map(cast, input().split()))\\nprintf = lambda s='', *args, **kwargs: print(str(s).format(*args), flush=True, **kwargs)\\nm, n = inp()\\nA = []\\nfor _ in range(m ):\\n    l = inp()\\n    A.append(set(l[1:]))\\nfor i in range(m):\\n    for j in range(m):\\n        if i == j: continue\\n        if not A[i].intersection(A[j]):\\n            print('impossible')\\n            return\\nprint('possible')\", \"M, N = list(map(int, input().split()))\\nX = []\\nfor i in range(M):\\n    X.append(set(list(map(int, input().split()))[1:]))\\n\\nflg = 1\\nfor i in range(M):\\n    for j in range(i):\\n        if len(X[i] & X[j]) == 0:\\n            flg = 0\\n            break\\n    if flg == 0:\\n        break\\n\\nif flg:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\\n\", \"m,n=map(int,input().split())\\nl=[]\\n#print(m,n)\\nfor i in range(m):\\n\\tl+=[list(map(int,input().split()))]\\nl=[set(i[1:]) for i in l]\\n#k=0\\n#print(n,m)\\nfor i in range(m):\\n\\tfor j in range(i+1,m):\\n\\t\\t#print(a,b,a.intersection(b))\\n\\t\\tif len(l[i].intersection(l[j]))==0:\\n\\t\\t\\tprint('impossible')\\n\\t\\t\\treturn\\n\\t\\\"\\\"\\\"count=0\\n\\t\\t\\t\\tfor j in range(m):\\n\\t\\t\\t\\t\\tif i in l[j]:\\n\\t\\t\\t\\t\\t\\tcount+=1\\n\\t\\t\\t\\tif count==m:\\n\\t\\t\\t\\t\\tprint('possible')\\n\\t\\t\\t\\t\\treturn\\\"\\\"\\\"\\nprint('possible')\", \"m,n=map(int,input().split())\\nsets=[]\\nfor i in range(m):\\n    a=list(map(int,input().split()))\\n    sets.append(set(a[1:]))\\ngood=True\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        if len(sets[i]&sets[j])==0:\\n            good=False\\nif good:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"import math\\nm,n = list(map(int,input().split()))\\ndays = []\\nfor z in range(m):\\n\\tt = set(list(map(int,input().split()))[1:])\\n\\tdays.append(t)\\ncheck = True\\nfor i in range(m):\\n\\tfor j in range(i):\\n\\t\\tif not days[i].intersection(days[j]):\\n\\t\\t\\tcheck = False\\n\\t\\t\\tbreak\\n\\t\\tif not check:\\n\\t\\t\\tbreak\\nif(check):\\n\\tprint(\\\"possible\\\")\\nelse:\\n\\tprint(\\\"impossible\\\")\\n\\n\", \"import math\\nimport re\\nimport sys\\nfrom collections import defaultdict\\nfrom heapq import heappush, heappop\\nfrom fractions import gcd\\n\\ndef read(type = int):\\n  return type(input())\\n  \\ndef read_list(type = int, split = ' ', F = None):\\n  if F:\\n    return map(lambda x: F(type(x)), raw_input().split(split))\\n  return list(map(type, input().split(split)))\\n\\ndef read_list_of_list(N, type = int, split = ' ', F = None):\\n  return [read_list(type, F = F) for _ in range(N)]\\n\\n\\nm, n = read_list()\\nB = read_list_of_list(m)\\nL = []\\nfor b in B:\\n  b = set(b[1:])\\n  for l in L:\\n    if l.isdisjoint(b):\\n      print('impossible')\\n      return\\n  L += [b]\\n  \\nprint('possible')\", \"m, n = list(map(int, input().split()))\\ns = [set([int(x) for x in input().split()][1:]) for _ in range(m)]\\nok = True\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if not s[i] & s[j]:\\n            ok = False\\n            break\\n    if not ok:\\n        break\\nprint((\\\"\\\" if ok else \\\"im\\\") + \\\"possible\\\")\\n\", \"m,n=map(int,input().split())\\nl=[]\\nl=[list(map(int,input().split())) for i in range(m)]\\n\\nl=[set(i[1:]) for i in l]\\nfor i in range(m):\\n\\tfor j in range(i+1,m):\\n\\t\\tif len(l[i].intersection(l[j]))==0:\\n\\t\\t\\tprint('impossible')\\n\\t\\t\\treturn\\nprint('possible')\", \"m,n = map(int, input().split())\\nsets = []\\nfor i  in range(m):\\n    a = list(map(int,input().split()))\\n    sets.append(set(a[1:]))\\ngood = True\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        if len(sets[i]&sets[j])==0:\\n            good = False\\nif good:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"m,n = list(map(int,input().split()))\\nt = []\\nfor i in range(m):\\n    temp = list(map(int,input().split()))[1:]\\n    bit = 0\\n    for i in temp:\\n        bit ^= (1<<(i-1))\\n    t.append(bit)\\nans = True\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if t[i] & t[j] == 0:\\n            ans = False\\nprint('possible' if ans else 'impossible')\\n\", \"m,n = list(map(int,input().split()))\\nt  = [set([i for i in list(map(int,input().split()))[1:]]) for _ in range(m)]\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if len(t[i]&t[j]) == 0:\\n            print('impossible')\\n            break\\n    else:\\n        continue\\n    break\\nelse:\\n    print('possible')\\n\", \"m,n=list(map(int,input().split()))\\nL=[]\\nfor i in range(0,m):\\n    s=[int(x) for x in input().split()]\\n    s=s[1:]\\n    L.append(set(s))\\n\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if(len(L[i]&L[j])==0):\\n            print('impossible')\\n            break\\n    else:\\n        continue\\n    break\\nelse:\\n    print('possible')\\n\", \"m, n = list(map(int, input().split()))\\n\\ns = [0] * m\\n\\nfor w in range(m):\\n    for i in list(map(int, input().split()))[1:]:\\n         s[w] |= 1 << i\\n\\nfor i in s:\\n    for j in s:\\n        if not (i & j):\\n            print('impossible')\\n            return\\n\\nprint('possible')\\n\", \"m, n = map(int, input().split())\\n\\ns = [0] * m\\n\\nfor w in range(m):\\n    for i in list(map(int, input().split()))[1:]:\\n        s[w] |= 1 << i\\n\\nfor i in s:\\n    for j in s:\\n        if not (i & j):\\n            print('impossible')\\n            return\\n\\nprint('possible')\", \"m,n = [int(i) for i in input().split()]\\nmas = set(range(1,n+1))\\n\\nsetd = []\\nsets = []\\nfor i in range(m):\\n    s = set()\\n    [s.add(int(j)) for j in input().split()[1:]]\\n    setd.append(s)\\n    sets.append(mas.difference(s))\\n\\n\\n#print(setd)\\n#print(sets)\\n\\n\\nflag = True\\nfor i in range(m):\\n    for j in range(m):\\n        if sets[i].issuperset(setd[j]):\\n            flag = False\\n\\n            break\\n\\nif flag:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"m,n = list(map(int,input().split()))\\n\\na = [0]*m\\n\\nfor i in range(m):\\n    k = list(map(int,input().split()))\\n    for j in range(k[0]):\\n        a[i] |= 1<<k[j+1]\\n\\nfor i in range(m):\\n    for j in range(m):\\n        if a[i]&a[j] == 0:\\n            print(\\\"impossible\\\")\\n            quit()\\nprint(\\\"possible\\\")\\n\", \"m, n = list(map(int,input().split()))\\nt = []\\n\\nfor i in range(m):\\n\\ttemp = list(map(int,input().split()))\\n\\tbit = 0\\n\\tfor i in temp[1:]:\\n\\t\\tbit ^= (1 << (i - 1))\\n\\tt.append(bit)\\n\\nans = True\\n\\nfor i in range(m - 1):\\n\\tfor j in range(i + 1, m):\\n\\t\\tif t[i] & t[j] == 0:\\n\\t\\t\\tans = False\\n\\nprint('possible' if ans else 'impossible')\\n\", \"m,n=list(map(int,input().split()))\\ns=set(range(1,n+1))\\nd=[[None,None]for i in range(m)]\\nfor i in range(m):\\n    x=list(map(int,input().split()))[1:]\\n    x=set(x)\\n    d[i][0]=x\\n    d[i][1]=s-x\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        bi,si=d[i]\\n        bj,sj=d[j]\\n        if sj.issuperset(bi) and bj.issubset(si):\\n            print('impossible')\\n            quit()\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nt = [set([int(i) for i in input().split()][1:]) for j in range(m)]\\nfor i in range(m - 1):\\n    for j in range(1, m):\\n        if not (t[i] & t[j]):\\n            print('impossible')\\n            return\\nprint('possible')\\n\"]",
        "difficulty": "interview",
        "input": "2 5\n3 1 2 3\n3 3 4 5\n",
        "output": "possible\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1166/E"
    },
    {
        "id": 244,
        "task_id": 2293,
        "test_case_id": 2,
        "question": "Dora the explorer has decided to use her money after several years of juicy royalties to go shopping. What better place to shop than Nlogonia?\n\nThere are $n$ stores numbered from $1$ to $n$ in Nlogonia. The $i$-th of these stores offers a positive integer $a_i$.\n\nEach day among the last $m$ days Dora bought a single integer from some of the stores. The same day, Swiper the fox bought a single integer from all the stores that Dora did not buy an integer from on that day.\n\nDora considers Swiper to be her rival, and she considers that she beat Swiper on day $i$ if and only if the least common multiple of the numbers she bought on day $i$ is strictly greater than the least common multiple of the numbers that Swiper bought on day $i$.\n\nThe least common multiple (LCM) of a collection of integers is the smallest positive integer that is divisible by all the integers in the collection.\n\nHowever, Dora forgot the values of $a_i$. Help Dora find out if there are positive integer values of $a_i$ such that she beat Swiper on every day. You don't need to find what are the possible values of $a_i$ though.\n\nNote that it is possible for some values of $a_i$ to coincide in a solution.\n\n\n-----Input-----\n\nThe first line contains integers $m$ and $n$ ($1\\leq m \\leq 50$, $1\\leq n \\leq 10^4$) — the number of days and the number of stores.\n\nAfter this $m$ lines follow, the $i$-th line starts with an integer $s_i$ ($1\\leq s_i \\leq n-1$), the number of integers Dora bought on day $i$, followed by $s_i$ distinct integers, the indices of the stores where Dora bought an integer on the $i$-th day. The indices are between $1$ and $n$.\n\n\n-----Output-----\n\nOutput must consist of a single line containing \"possible\" if there exist positive integers $a_i$ such that for each day the least common multiple of the integers bought by Dora is strictly greater than the least common multiple of the integers bought by Swiper on that day. Otherwise, print \"impossible\".\n\nNote that you don't have to restore the integers themselves.\n\n\n-----Examples-----\nInput\n2 5\n3 1 2 3\n3 3 4 5\n\nOutput\npossible\n\nInput\n10 10\n1 1\n1 2\n1 3\n1 4\n1 5\n1 6\n1 7\n1 8\n1 9\n1 10\n\nOutput\nimpossible\n\n\n\n-----Note-----\n\nIn the first sample, a possible choice for the values of the $a_i$ is $3, 4, 3, 5, 2$. On the first day, Dora buys the integers $3, 4$ and $3$, whose LCM is $12$, while Swiper buys integers $5$ and $2$, whose LCM is $10$. On the second day, Dora buys $3, 5$ and $2$, whose LCM is $30$, and Swiper buys integers $3$ and $4$, whose LCM is $12$.",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\n\\nm, n = list(map(int, input().split()))\\nDora = []\\nSwiper = []\\nall = set([i for i in range(1, n+1)])\\nfor _ in range(m):\\n    a = set(list(map(int, input().split()))[1:])\\n    Dora.append(a)\\n    Swiper.append(all.difference(a))\\n\\nflag = 1\\nfor i in range(m):\\n    for j in range(m):\\n        if Dora[i] | Swiper[j] == Swiper[j]:\\n            flag = 0\\n            break\\n    if flag == 0:\\n        break\\n\\nif flag == 1:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\\n\", \"# stdin=open('input.txt')\\nfrom sys import stdin, stdout\\ndef input():\\n\\treturn stdin.readline()[:-1]\\n\\n\\n# stdout=open('output.txt',mode='w+')\\n\\n# def print(x, end='\\\\n'):\\n# \\tstdout.write(str(x) +end)\\n\\n\\n# a, b = map(int, input().split())\\n\\n# l = list(map(int, input().split()))\\n\\n# n = int(input())\\n\\n\\n\\n\\n\\n# CODE BEGINS HERE.................\\n\\n# import copy\\nimport math\\n# import sys\\n# sys.setrecursionlimit(10**7)\\n\\nm, n = list(map(int, input().split()))\\n\\ndays = []\\nfor i in range(m):\\n\\tdays.append(set(list(map(int, input().split()))[1:]))\\npossible = True\\nfor i in range(m):\\n\\tfor j in range(i):\\n\\t\\tif not days[i].intersection(days[j]):\\n\\t\\t\\tpossible = False\\n\\t\\t\\tbreak\\n\\tif not possible:\\n\\t\\tbreak\\n\\nif possible:\\n\\tprint('possible')\\nelse:\\n\\tprint('impossible')\\n\\n#CODE ENDS HERE....................\\n\\n\\n#stdout.close()\\n\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nm,n=list(map(int,input().split()))\\n\\nD=[set(list(map(int,input().split()))[1:]) for i in range(m)]\\n\\n\\nfor i in range(m-1):\\n    for j in range(1,m):\\n        if D[i] & D[j]== set():\\n            print(\\\"impossible\\\")\\n            return\\nelse:\\n    print(\\\"possible\\\")\\n\\n\", \"def check(arr1, arr2):\\n    i1 = 0\\n    i2 = 0\\n    while True:\\n        if i1 == len(arr1) or i2 == len(arr2):\\n            return False\\n        elif arr1[i1] == arr2[i2]:\\n            return True\\n        elif arr1[i1] < arr2[i2]:\\n            i1 += 1\\n        else:\\n            i2 += 1\\n\\n\\nm, n = (int(x) for x in input().split())\\n\\nday___set = []\\nfor i in range(m):\\n    x = sorted([int(x) for x in input().split()][1:])\\n    day___set.append(x)\\n\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if not check(day___set[i], day___set[j]):\\n            print('impossible')\\n            quit()\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nD = []\\nkok = {i for i in range(1, n + 1)}\\nfor i in range(m):\\n    A = list(map(int, input().split()))\\n    D.append(set(A[1:]))\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if D[i].intersection(D[j]) == set():\\n            print('impossible')\\n            return\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nD = []\\nfor i in range(m):\\n    A = list(map(int, input().split()))\\n    D.append(set(A[1:]))\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if D[i].intersection(D[j]) == set():\\n            print('impossible')\\n            return\\nprint('possible')\\n\", \"inp = lambda cast=int: list(map(cast, input().split()))\\nprintf = lambda s='', *args, **kwargs: print(str(s).format(*args), flush=True, **kwargs)\\nm, n = inp()\\nA = []\\nfor _ in range(m ):\\n    l = inp()\\n    A.append(set(l[1:]))\\nfor i in range(m):\\n    for j in range(m):\\n        if i == j: continue\\n        if not A[i].intersection(A[j]):\\n            print('impossible')\\n            return\\nprint('possible')\", \"M, N = list(map(int, input().split()))\\nX = []\\nfor i in range(M):\\n    X.append(set(list(map(int, input().split()))[1:]))\\n\\nflg = 1\\nfor i in range(M):\\n    for j in range(i):\\n        if len(X[i] & X[j]) == 0:\\n            flg = 0\\n            break\\n    if flg == 0:\\n        break\\n\\nif flg:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\\n\", \"m,n=map(int,input().split())\\nl=[]\\n#print(m,n)\\nfor i in range(m):\\n\\tl+=[list(map(int,input().split()))]\\nl=[set(i[1:]) for i in l]\\n#k=0\\n#print(n,m)\\nfor i in range(m):\\n\\tfor j in range(i+1,m):\\n\\t\\t#print(a,b,a.intersection(b))\\n\\t\\tif len(l[i].intersection(l[j]))==0:\\n\\t\\t\\tprint('impossible')\\n\\t\\t\\treturn\\n\\t\\\"\\\"\\\"count=0\\n\\t\\t\\t\\tfor j in range(m):\\n\\t\\t\\t\\t\\tif i in l[j]:\\n\\t\\t\\t\\t\\t\\tcount+=1\\n\\t\\t\\t\\tif count==m:\\n\\t\\t\\t\\t\\tprint('possible')\\n\\t\\t\\t\\t\\treturn\\\"\\\"\\\"\\nprint('possible')\", \"m,n=map(int,input().split())\\nsets=[]\\nfor i in range(m):\\n    a=list(map(int,input().split()))\\n    sets.append(set(a[1:]))\\ngood=True\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        if len(sets[i]&sets[j])==0:\\n            good=False\\nif good:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"import math\\nm,n = list(map(int,input().split()))\\ndays = []\\nfor z in range(m):\\n\\tt = set(list(map(int,input().split()))[1:])\\n\\tdays.append(t)\\ncheck = True\\nfor i in range(m):\\n\\tfor j in range(i):\\n\\t\\tif not days[i].intersection(days[j]):\\n\\t\\t\\tcheck = False\\n\\t\\t\\tbreak\\n\\t\\tif not check:\\n\\t\\t\\tbreak\\nif(check):\\n\\tprint(\\\"possible\\\")\\nelse:\\n\\tprint(\\\"impossible\\\")\\n\\n\", \"import math\\nimport re\\nimport sys\\nfrom collections import defaultdict\\nfrom heapq import heappush, heappop\\nfrom fractions import gcd\\n\\ndef read(type = int):\\n  return type(input())\\n  \\ndef read_list(type = int, split = ' ', F = None):\\n  if F:\\n    return map(lambda x: F(type(x)), raw_input().split(split))\\n  return list(map(type, input().split(split)))\\n\\ndef read_list_of_list(N, type = int, split = ' ', F = None):\\n  return [read_list(type, F = F) for _ in range(N)]\\n\\n\\nm, n = read_list()\\nB = read_list_of_list(m)\\nL = []\\nfor b in B:\\n  b = set(b[1:])\\n  for l in L:\\n    if l.isdisjoint(b):\\n      print('impossible')\\n      return\\n  L += [b]\\n  \\nprint('possible')\", \"m, n = list(map(int, input().split()))\\ns = [set([int(x) for x in input().split()][1:]) for _ in range(m)]\\nok = True\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if not s[i] & s[j]:\\n            ok = False\\n            break\\n    if not ok:\\n        break\\nprint((\\\"\\\" if ok else \\\"im\\\") + \\\"possible\\\")\\n\", \"m,n=map(int,input().split())\\nl=[]\\nl=[list(map(int,input().split())) for i in range(m)]\\n\\nl=[set(i[1:]) for i in l]\\nfor i in range(m):\\n\\tfor j in range(i+1,m):\\n\\t\\tif len(l[i].intersection(l[j]))==0:\\n\\t\\t\\tprint('impossible')\\n\\t\\t\\treturn\\nprint('possible')\", \"m,n = map(int, input().split())\\nsets = []\\nfor i  in range(m):\\n    a = list(map(int,input().split()))\\n    sets.append(set(a[1:]))\\ngood = True\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        if len(sets[i]&sets[j])==0:\\n            good = False\\nif good:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"m,n = list(map(int,input().split()))\\nt = []\\nfor i in range(m):\\n    temp = list(map(int,input().split()))[1:]\\n    bit = 0\\n    for i in temp:\\n        bit ^= (1<<(i-1))\\n    t.append(bit)\\nans = True\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if t[i] & t[j] == 0:\\n            ans = False\\nprint('possible' if ans else 'impossible')\\n\", \"m,n = list(map(int,input().split()))\\nt  = [set([i for i in list(map(int,input().split()))[1:]]) for _ in range(m)]\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if len(t[i]&t[j]) == 0:\\n            print('impossible')\\n            break\\n    else:\\n        continue\\n    break\\nelse:\\n    print('possible')\\n\", \"m,n=list(map(int,input().split()))\\nL=[]\\nfor i in range(0,m):\\n    s=[int(x) for x in input().split()]\\n    s=s[1:]\\n    L.append(set(s))\\n\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if(len(L[i]&L[j])==0):\\n            print('impossible')\\n            break\\n    else:\\n        continue\\n    break\\nelse:\\n    print('possible')\\n\", \"m, n = list(map(int, input().split()))\\n\\ns = [0] * m\\n\\nfor w in range(m):\\n    for i in list(map(int, input().split()))[1:]:\\n         s[w] |= 1 << i\\n\\nfor i in s:\\n    for j in s:\\n        if not (i & j):\\n            print('impossible')\\n            return\\n\\nprint('possible')\\n\", \"m, n = map(int, input().split())\\n\\ns = [0] * m\\n\\nfor w in range(m):\\n    for i in list(map(int, input().split()))[1:]:\\n        s[w] |= 1 << i\\n\\nfor i in s:\\n    for j in s:\\n        if not (i & j):\\n            print('impossible')\\n            return\\n\\nprint('possible')\", \"m,n = [int(i) for i in input().split()]\\nmas = set(range(1,n+1))\\n\\nsetd = []\\nsets = []\\nfor i in range(m):\\n    s = set()\\n    [s.add(int(j)) for j in input().split()[1:]]\\n    setd.append(s)\\n    sets.append(mas.difference(s))\\n\\n\\n#print(setd)\\n#print(sets)\\n\\n\\nflag = True\\nfor i in range(m):\\n    for j in range(m):\\n        if sets[i].issuperset(setd[j]):\\n            flag = False\\n\\n            break\\n\\nif flag:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"m,n = list(map(int,input().split()))\\n\\na = [0]*m\\n\\nfor i in range(m):\\n    k = list(map(int,input().split()))\\n    for j in range(k[0]):\\n        a[i] |= 1<<k[j+1]\\n\\nfor i in range(m):\\n    for j in range(m):\\n        if a[i]&a[j] == 0:\\n            print(\\\"impossible\\\")\\n            quit()\\nprint(\\\"possible\\\")\\n\", \"m, n = list(map(int,input().split()))\\nt = []\\n\\nfor i in range(m):\\n\\ttemp = list(map(int,input().split()))\\n\\tbit = 0\\n\\tfor i in temp[1:]:\\n\\t\\tbit ^= (1 << (i - 1))\\n\\tt.append(bit)\\n\\nans = True\\n\\nfor i in range(m - 1):\\n\\tfor j in range(i + 1, m):\\n\\t\\tif t[i] & t[j] == 0:\\n\\t\\t\\tans = False\\n\\nprint('possible' if ans else 'impossible')\\n\", \"m,n=list(map(int,input().split()))\\ns=set(range(1,n+1))\\nd=[[None,None]for i in range(m)]\\nfor i in range(m):\\n    x=list(map(int,input().split()))[1:]\\n    x=set(x)\\n    d[i][0]=x\\n    d[i][1]=s-x\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        bi,si=d[i]\\n        bj,sj=d[j]\\n        if sj.issuperset(bi) and bj.issubset(si):\\n            print('impossible')\\n            quit()\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nt = [set([int(i) for i in input().split()][1:]) for j in range(m)]\\nfor i in range(m - 1):\\n    for j in range(1, m):\\n        if not (t[i] & t[j]):\\n            print('impossible')\\n            return\\nprint('possible')\\n\"]",
        "difficulty": "interview",
        "input": "10 10\n1 1\n1 2\n1 3\n1 4\n1 5\n1 6\n1 7\n1 8\n1 9\n1 10\n",
        "output": "impossible\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1166/E"
    },
    {
        "id": 245,
        "task_id": 2293,
        "test_case_id": 3,
        "question": "Dora the explorer has decided to use her money after several years of juicy royalties to go shopping. What better place to shop than Nlogonia?\n\nThere are $n$ stores numbered from $1$ to $n$ in Nlogonia. The $i$-th of these stores offers a positive integer $a_i$.\n\nEach day among the last $m$ days Dora bought a single integer from some of the stores. The same day, Swiper the fox bought a single integer from all the stores that Dora did not buy an integer from on that day.\n\nDora considers Swiper to be her rival, and she considers that she beat Swiper on day $i$ if and only if the least common multiple of the numbers she bought on day $i$ is strictly greater than the least common multiple of the numbers that Swiper bought on day $i$.\n\nThe least common multiple (LCM) of a collection of integers is the smallest positive integer that is divisible by all the integers in the collection.\n\nHowever, Dora forgot the values of $a_i$. Help Dora find out if there are positive integer values of $a_i$ such that she beat Swiper on every day. You don't need to find what are the possible values of $a_i$ though.\n\nNote that it is possible for some values of $a_i$ to coincide in a solution.\n\n\n-----Input-----\n\nThe first line contains integers $m$ and $n$ ($1\\leq m \\leq 50$, $1\\leq n \\leq 10^4$) — the number of days and the number of stores.\n\nAfter this $m$ lines follow, the $i$-th line starts with an integer $s_i$ ($1\\leq s_i \\leq n-1$), the number of integers Dora bought on day $i$, followed by $s_i$ distinct integers, the indices of the stores where Dora bought an integer on the $i$-th day. The indices are between $1$ and $n$.\n\n\n-----Output-----\n\nOutput must consist of a single line containing \"possible\" if there exist positive integers $a_i$ such that for each day the least common multiple of the integers bought by Dora is strictly greater than the least common multiple of the integers bought by Swiper on that day. Otherwise, print \"impossible\".\n\nNote that you don't have to restore the integers themselves.\n\n\n-----Examples-----\nInput\n2 5\n3 1 2 3\n3 3 4 5\n\nOutput\npossible\n\nInput\n10 10\n1 1\n1 2\n1 3\n1 4\n1 5\n1 6\n1 7\n1 8\n1 9\n1 10\n\nOutput\nimpossible\n\n\n\n-----Note-----\n\nIn the first sample, a possible choice for the values of the $a_i$ is $3, 4, 3, 5, 2$. On the first day, Dora buys the integers $3, 4$ and $3$, whose LCM is $12$, while Swiper buys integers $5$ and $2$, whose LCM is $10$. On the second day, Dora buys $3, 5$ and $2$, whose LCM is $30$, and Swiper buys integers $3$ and $4$, whose LCM is $12$.",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\n\\nm, n = list(map(int, input().split()))\\nDora = []\\nSwiper = []\\nall = set([i for i in range(1, n+1)])\\nfor _ in range(m):\\n    a = set(list(map(int, input().split()))[1:])\\n    Dora.append(a)\\n    Swiper.append(all.difference(a))\\n\\nflag = 1\\nfor i in range(m):\\n    for j in range(m):\\n        if Dora[i] | Swiper[j] == Swiper[j]:\\n            flag = 0\\n            break\\n    if flag == 0:\\n        break\\n\\nif flag == 1:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\\n\", \"# stdin=open('input.txt')\\nfrom sys import stdin, stdout\\ndef input():\\n\\treturn stdin.readline()[:-1]\\n\\n\\n# stdout=open('output.txt',mode='w+')\\n\\n# def print(x, end='\\\\n'):\\n# \\tstdout.write(str(x) +end)\\n\\n\\n# a, b = map(int, input().split())\\n\\n# l = list(map(int, input().split()))\\n\\n# n = int(input())\\n\\n\\n\\n\\n\\n# CODE BEGINS HERE.................\\n\\n# import copy\\nimport math\\n# import sys\\n# sys.setrecursionlimit(10**7)\\n\\nm, n = list(map(int, input().split()))\\n\\ndays = []\\nfor i in range(m):\\n\\tdays.append(set(list(map(int, input().split()))[1:]))\\npossible = True\\nfor i in range(m):\\n\\tfor j in range(i):\\n\\t\\tif not days[i].intersection(days[j]):\\n\\t\\t\\tpossible = False\\n\\t\\t\\tbreak\\n\\tif not possible:\\n\\t\\tbreak\\n\\nif possible:\\n\\tprint('possible')\\nelse:\\n\\tprint('impossible')\\n\\n#CODE ENDS HERE....................\\n\\n\\n#stdout.close()\\n\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nm,n=list(map(int,input().split()))\\n\\nD=[set(list(map(int,input().split()))[1:]) for i in range(m)]\\n\\n\\nfor i in range(m-1):\\n    for j in range(1,m):\\n        if D[i] & D[j]== set():\\n            print(\\\"impossible\\\")\\n            return\\nelse:\\n    print(\\\"possible\\\")\\n\\n\", \"def check(arr1, arr2):\\n    i1 = 0\\n    i2 = 0\\n    while True:\\n        if i1 == len(arr1) or i2 == len(arr2):\\n            return False\\n        elif arr1[i1] == arr2[i2]:\\n            return True\\n        elif arr1[i1] < arr2[i2]:\\n            i1 += 1\\n        else:\\n            i2 += 1\\n\\n\\nm, n = (int(x) for x in input().split())\\n\\nday___set = []\\nfor i in range(m):\\n    x = sorted([int(x) for x in input().split()][1:])\\n    day___set.append(x)\\n\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if not check(day___set[i], day___set[j]):\\n            print('impossible')\\n            quit()\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nD = []\\nkok = {i for i in range(1, n + 1)}\\nfor i in range(m):\\n    A = list(map(int, input().split()))\\n    D.append(set(A[1:]))\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if D[i].intersection(D[j]) == set():\\n            print('impossible')\\n            return\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nD = []\\nfor i in range(m):\\n    A = list(map(int, input().split()))\\n    D.append(set(A[1:]))\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if D[i].intersection(D[j]) == set():\\n            print('impossible')\\n            return\\nprint('possible')\\n\", \"inp = lambda cast=int: list(map(cast, input().split()))\\nprintf = lambda s='', *args, **kwargs: print(str(s).format(*args), flush=True, **kwargs)\\nm, n = inp()\\nA = []\\nfor _ in range(m ):\\n    l = inp()\\n    A.append(set(l[1:]))\\nfor i in range(m):\\n    for j in range(m):\\n        if i == j: continue\\n        if not A[i].intersection(A[j]):\\n            print('impossible')\\n            return\\nprint('possible')\", \"M, N = list(map(int, input().split()))\\nX = []\\nfor i in range(M):\\n    X.append(set(list(map(int, input().split()))[1:]))\\n\\nflg = 1\\nfor i in range(M):\\n    for j in range(i):\\n        if len(X[i] & X[j]) == 0:\\n            flg = 0\\n            break\\n    if flg == 0:\\n        break\\n\\nif flg:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\\n\", \"m,n=map(int,input().split())\\nl=[]\\n#print(m,n)\\nfor i in range(m):\\n\\tl+=[list(map(int,input().split()))]\\nl=[set(i[1:]) for i in l]\\n#k=0\\n#print(n,m)\\nfor i in range(m):\\n\\tfor j in range(i+1,m):\\n\\t\\t#print(a,b,a.intersection(b))\\n\\t\\tif len(l[i].intersection(l[j]))==0:\\n\\t\\t\\tprint('impossible')\\n\\t\\t\\treturn\\n\\t\\\"\\\"\\\"count=0\\n\\t\\t\\t\\tfor j in range(m):\\n\\t\\t\\t\\t\\tif i in l[j]:\\n\\t\\t\\t\\t\\t\\tcount+=1\\n\\t\\t\\t\\tif count==m:\\n\\t\\t\\t\\t\\tprint('possible')\\n\\t\\t\\t\\t\\treturn\\\"\\\"\\\"\\nprint('possible')\", \"m,n=map(int,input().split())\\nsets=[]\\nfor i in range(m):\\n    a=list(map(int,input().split()))\\n    sets.append(set(a[1:]))\\ngood=True\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        if len(sets[i]&sets[j])==0:\\n            good=False\\nif good:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"import math\\nm,n = list(map(int,input().split()))\\ndays = []\\nfor z in range(m):\\n\\tt = set(list(map(int,input().split()))[1:])\\n\\tdays.append(t)\\ncheck = True\\nfor i in range(m):\\n\\tfor j in range(i):\\n\\t\\tif not days[i].intersection(days[j]):\\n\\t\\t\\tcheck = False\\n\\t\\t\\tbreak\\n\\t\\tif not check:\\n\\t\\t\\tbreak\\nif(check):\\n\\tprint(\\\"possible\\\")\\nelse:\\n\\tprint(\\\"impossible\\\")\\n\\n\", \"import math\\nimport re\\nimport sys\\nfrom collections import defaultdict\\nfrom heapq import heappush, heappop\\nfrom fractions import gcd\\n\\ndef read(type = int):\\n  return type(input())\\n  \\ndef read_list(type = int, split = ' ', F = None):\\n  if F:\\n    return map(lambda x: F(type(x)), raw_input().split(split))\\n  return list(map(type, input().split(split)))\\n\\ndef read_list_of_list(N, type = int, split = ' ', F = None):\\n  return [read_list(type, F = F) for _ in range(N)]\\n\\n\\nm, n = read_list()\\nB = read_list_of_list(m)\\nL = []\\nfor b in B:\\n  b = set(b[1:])\\n  for l in L:\\n    if l.isdisjoint(b):\\n      print('impossible')\\n      return\\n  L += [b]\\n  \\nprint('possible')\", \"m, n = list(map(int, input().split()))\\ns = [set([int(x) for x in input().split()][1:]) for _ in range(m)]\\nok = True\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if not s[i] & s[j]:\\n            ok = False\\n            break\\n    if not ok:\\n        break\\nprint((\\\"\\\" if ok else \\\"im\\\") + \\\"possible\\\")\\n\", \"m,n=map(int,input().split())\\nl=[]\\nl=[list(map(int,input().split())) for i in range(m)]\\n\\nl=[set(i[1:]) for i in l]\\nfor i in range(m):\\n\\tfor j in range(i+1,m):\\n\\t\\tif len(l[i].intersection(l[j]))==0:\\n\\t\\t\\tprint('impossible')\\n\\t\\t\\treturn\\nprint('possible')\", \"m,n = map(int, input().split())\\nsets = []\\nfor i  in range(m):\\n    a = list(map(int,input().split()))\\n    sets.append(set(a[1:]))\\ngood = True\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        if len(sets[i]&sets[j])==0:\\n            good = False\\nif good:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"m,n = list(map(int,input().split()))\\nt = []\\nfor i in range(m):\\n    temp = list(map(int,input().split()))[1:]\\n    bit = 0\\n    for i in temp:\\n        bit ^= (1<<(i-1))\\n    t.append(bit)\\nans = True\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if t[i] & t[j] == 0:\\n            ans = False\\nprint('possible' if ans else 'impossible')\\n\", \"m,n = list(map(int,input().split()))\\nt  = [set([i for i in list(map(int,input().split()))[1:]]) for _ in range(m)]\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if len(t[i]&t[j]) == 0:\\n            print('impossible')\\n            break\\n    else:\\n        continue\\n    break\\nelse:\\n    print('possible')\\n\", \"m,n=list(map(int,input().split()))\\nL=[]\\nfor i in range(0,m):\\n    s=[int(x) for x in input().split()]\\n    s=s[1:]\\n    L.append(set(s))\\n\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if(len(L[i]&L[j])==0):\\n            print('impossible')\\n            break\\n    else:\\n        continue\\n    break\\nelse:\\n    print('possible')\\n\", \"m, n = list(map(int, input().split()))\\n\\ns = [0] * m\\n\\nfor w in range(m):\\n    for i in list(map(int, input().split()))[1:]:\\n         s[w] |= 1 << i\\n\\nfor i in s:\\n    for j in s:\\n        if not (i & j):\\n            print('impossible')\\n            return\\n\\nprint('possible')\\n\", \"m, n = map(int, input().split())\\n\\ns = [0] * m\\n\\nfor w in range(m):\\n    for i in list(map(int, input().split()))[1:]:\\n        s[w] |= 1 << i\\n\\nfor i in s:\\n    for j in s:\\n        if not (i & j):\\n            print('impossible')\\n            return\\n\\nprint('possible')\", \"m,n = [int(i) for i in input().split()]\\nmas = set(range(1,n+1))\\n\\nsetd = []\\nsets = []\\nfor i in range(m):\\n    s = set()\\n    [s.add(int(j)) for j in input().split()[1:]]\\n    setd.append(s)\\n    sets.append(mas.difference(s))\\n\\n\\n#print(setd)\\n#print(sets)\\n\\n\\nflag = True\\nfor i in range(m):\\n    for j in range(m):\\n        if sets[i].issuperset(setd[j]):\\n            flag = False\\n\\n            break\\n\\nif flag:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"m,n = list(map(int,input().split()))\\n\\na = [0]*m\\n\\nfor i in range(m):\\n    k = list(map(int,input().split()))\\n    for j in range(k[0]):\\n        a[i] |= 1<<k[j+1]\\n\\nfor i in range(m):\\n    for j in range(m):\\n        if a[i]&a[j] == 0:\\n            print(\\\"impossible\\\")\\n            quit()\\nprint(\\\"possible\\\")\\n\", \"m, n = list(map(int,input().split()))\\nt = []\\n\\nfor i in range(m):\\n\\ttemp = list(map(int,input().split()))\\n\\tbit = 0\\n\\tfor i in temp[1:]:\\n\\t\\tbit ^= (1 << (i - 1))\\n\\tt.append(bit)\\n\\nans = True\\n\\nfor i in range(m - 1):\\n\\tfor j in range(i + 1, m):\\n\\t\\tif t[i] & t[j] == 0:\\n\\t\\t\\tans = False\\n\\nprint('possible' if ans else 'impossible')\\n\", \"m,n=list(map(int,input().split()))\\ns=set(range(1,n+1))\\nd=[[None,None]for i in range(m)]\\nfor i in range(m):\\n    x=list(map(int,input().split()))[1:]\\n    x=set(x)\\n    d[i][0]=x\\n    d[i][1]=s-x\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        bi,si=d[i]\\n        bj,sj=d[j]\\n        if sj.issuperset(bi) and bj.issubset(si):\\n            print('impossible')\\n            quit()\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nt = [set([int(i) for i in input().split()][1:]) for j in range(m)]\\nfor i in range(m - 1):\\n    for j in range(1, m):\\n        if not (t[i] & t[j]):\\n            print('impossible')\\n            return\\nprint('possible')\\n\"]",
        "difficulty": "interview",
        "input": "3 10\n4 6 10 1 9\n9 6 1 8 10 4 9 5 7 2\n8 3 10 6 8 2 4 5 1\n",
        "output": "possible\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1166/E"
    },
    {
        "id": 246,
        "task_id": 2293,
        "test_case_id": 4,
        "question": "Dora the explorer has decided to use her money after several years of juicy royalties to go shopping. What better place to shop than Nlogonia?\n\nThere are $n$ stores numbered from $1$ to $n$ in Nlogonia. The $i$-th of these stores offers a positive integer $a_i$.\n\nEach day among the last $m$ days Dora bought a single integer from some of the stores. The same day, Swiper the fox bought a single integer from all the stores that Dora did not buy an integer from on that day.\n\nDora considers Swiper to be her rival, and she considers that she beat Swiper on day $i$ if and only if the least common multiple of the numbers she bought on day $i$ is strictly greater than the least common multiple of the numbers that Swiper bought on day $i$.\n\nThe least common multiple (LCM) of a collection of integers is the smallest positive integer that is divisible by all the integers in the collection.\n\nHowever, Dora forgot the values of $a_i$. Help Dora find out if there are positive integer values of $a_i$ such that she beat Swiper on every day. You don't need to find what are the possible values of $a_i$ though.\n\nNote that it is possible for some values of $a_i$ to coincide in a solution.\n\n\n-----Input-----\n\nThe first line contains integers $m$ and $n$ ($1\\leq m \\leq 50$, $1\\leq n \\leq 10^4$) — the number of days and the number of stores.\n\nAfter this $m$ lines follow, the $i$-th line starts with an integer $s_i$ ($1\\leq s_i \\leq n-1$), the number of integers Dora bought on day $i$, followed by $s_i$ distinct integers, the indices of the stores where Dora bought an integer on the $i$-th day. The indices are between $1$ and $n$.\n\n\n-----Output-----\n\nOutput must consist of a single line containing \"possible\" if there exist positive integers $a_i$ such that for each day the least common multiple of the integers bought by Dora is strictly greater than the least common multiple of the integers bought by Swiper on that day. Otherwise, print \"impossible\".\n\nNote that you don't have to restore the integers themselves.\n\n\n-----Examples-----\nInput\n2 5\n3 1 2 3\n3 3 4 5\n\nOutput\npossible\n\nInput\n10 10\n1 1\n1 2\n1 3\n1 4\n1 5\n1 6\n1 7\n1 8\n1 9\n1 10\n\nOutput\nimpossible\n\n\n\n-----Note-----\n\nIn the first sample, a possible choice for the values of the $a_i$ is $3, 4, 3, 5, 2$. On the first day, Dora buys the integers $3, 4$ and $3$, whose LCM is $12$, while Swiper buys integers $5$ and $2$, whose LCM is $10$. On the second day, Dora buys $3, 5$ and $2$, whose LCM is $30$, and Swiper buys integers $3$ and $4$, whose LCM is $12$.",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\n\\nm, n = list(map(int, input().split()))\\nDora = []\\nSwiper = []\\nall = set([i for i in range(1, n+1)])\\nfor _ in range(m):\\n    a = set(list(map(int, input().split()))[1:])\\n    Dora.append(a)\\n    Swiper.append(all.difference(a))\\n\\nflag = 1\\nfor i in range(m):\\n    for j in range(m):\\n        if Dora[i] | Swiper[j] == Swiper[j]:\\n            flag = 0\\n            break\\n    if flag == 0:\\n        break\\n\\nif flag == 1:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\\n\", \"# stdin=open('input.txt')\\nfrom sys import stdin, stdout\\ndef input():\\n\\treturn stdin.readline()[:-1]\\n\\n\\n# stdout=open('output.txt',mode='w+')\\n\\n# def print(x, end='\\\\n'):\\n# \\tstdout.write(str(x) +end)\\n\\n\\n# a, b = map(int, input().split())\\n\\n# l = list(map(int, input().split()))\\n\\n# n = int(input())\\n\\n\\n\\n\\n\\n# CODE BEGINS HERE.................\\n\\n# import copy\\nimport math\\n# import sys\\n# sys.setrecursionlimit(10**7)\\n\\nm, n = list(map(int, input().split()))\\n\\ndays = []\\nfor i in range(m):\\n\\tdays.append(set(list(map(int, input().split()))[1:]))\\npossible = True\\nfor i in range(m):\\n\\tfor j in range(i):\\n\\t\\tif not days[i].intersection(days[j]):\\n\\t\\t\\tpossible = False\\n\\t\\t\\tbreak\\n\\tif not possible:\\n\\t\\tbreak\\n\\nif possible:\\n\\tprint('possible')\\nelse:\\n\\tprint('impossible')\\n\\n#CODE ENDS HERE....................\\n\\n\\n#stdout.close()\\n\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nm,n=list(map(int,input().split()))\\n\\nD=[set(list(map(int,input().split()))[1:]) for i in range(m)]\\n\\n\\nfor i in range(m-1):\\n    for j in range(1,m):\\n        if D[i] & D[j]== set():\\n            print(\\\"impossible\\\")\\n            return\\nelse:\\n    print(\\\"possible\\\")\\n\\n\", \"def check(arr1, arr2):\\n    i1 = 0\\n    i2 = 0\\n    while True:\\n        if i1 == len(arr1) or i2 == len(arr2):\\n            return False\\n        elif arr1[i1] == arr2[i2]:\\n            return True\\n        elif arr1[i1] < arr2[i2]:\\n            i1 += 1\\n        else:\\n            i2 += 1\\n\\n\\nm, n = (int(x) for x in input().split())\\n\\nday___set = []\\nfor i in range(m):\\n    x = sorted([int(x) for x in input().split()][1:])\\n    day___set.append(x)\\n\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if not check(day___set[i], day___set[j]):\\n            print('impossible')\\n            quit()\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nD = []\\nkok = {i for i in range(1, n + 1)}\\nfor i in range(m):\\n    A = list(map(int, input().split()))\\n    D.append(set(A[1:]))\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if D[i].intersection(D[j]) == set():\\n            print('impossible')\\n            return\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nD = []\\nfor i in range(m):\\n    A = list(map(int, input().split()))\\n    D.append(set(A[1:]))\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if D[i].intersection(D[j]) == set():\\n            print('impossible')\\n            return\\nprint('possible')\\n\", \"inp = lambda cast=int: list(map(cast, input().split()))\\nprintf = lambda s='', *args, **kwargs: print(str(s).format(*args), flush=True, **kwargs)\\nm, n = inp()\\nA = []\\nfor _ in range(m ):\\n    l = inp()\\n    A.append(set(l[1:]))\\nfor i in range(m):\\n    for j in range(m):\\n        if i == j: continue\\n        if not A[i].intersection(A[j]):\\n            print('impossible')\\n            return\\nprint('possible')\", \"M, N = list(map(int, input().split()))\\nX = []\\nfor i in range(M):\\n    X.append(set(list(map(int, input().split()))[1:]))\\n\\nflg = 1\\nfor i in range(M):\\n    for j in range(i):\\n        if len(X[i] & X[j]) == 0:\\n            flg = 0\\n            break\\n    if flg == 0:\\n        break\\n\\nif flg:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\\n\", \"m,n=map(int,input().split())\\nl=[]\\n#print(m,n)\\nfor i in range(m):\\n\\tl+=[list(map(int,input().split()))]\\nl=[set(i[1:]) for i in l]\\n#k=0\\n#print(n,m)\\nfor i in range(m):\\n\\tfor j in range(i+1,m):\\n\\t\\t#print(a,b,a.intersection(b))\\n\\t\\tif len(l[i].intersection(l[j]))==0:\\n\\t\\t\\tprint('impossible')\\n\\t\\t\\treturn\\n\\t\\\"\\\"\\\"count=0\\n\\t\\t\\t\\tfor j in range(m):\\n\\t\\t\\t\\t\\tif i in l[j]:\\n\\t\\t\\t\\t\\t\\tcount+=1\\n\\t\\t\\t\\tif count==m:\\n\\t\\t\\t\\t\\tprint('possible')\\n\\t\\t\\t\\t\\treturn\\\"\\\"\\\"\\nprint('possible')\", \"m,n=map(int,input().split())\\nsets=[]\\nfor i in range(m):\\n    a=list(map(int,input().split()))\\n    sets.append(set(a[1:]))\\ngood=True\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        if len(sets[i]&sets[j])==0:\\n            good=False\\nif good:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"import math\\nm,n = list(map(int,input().split()))\\ndays = []\\nfor z in range(m):\\n\\tt = set(list(map(int,input().split()))[1:])\\n\\tdays.append(t)\\ncheck = True\\nfor i in range(m):\\n\\tfor j in range(i):\\n\\t\\tif not days[i].intersection(days[j]):\\n\\t\\t\\tcheck = False\\n\\t\\t\\tbreak\\n\\t\\tif not check:\\n\\t\\t\\tbreak\\nif(check):\\n\\tprint(\\\"possible\\\")\\nelse:\\n\\tprint(\\\"impossible\\\")\\n\\n\", \"import math\\nimport re\\nimport sys\\nfrom collections import defaultdict\\nfrom heapq import heappush, heappop\\nfrom fractions import gcd\\n\\ndef read(type = int):\\n  return type(input())\\n  \\ndef read_list(type = int, split = ' ', F = None):\\n  if F:\\n    return map(lambda x: F(type(x)), raw_input().split(split))\\n  return list(map(type, input().split(split)))\\n\\ndef read_list_of_list(N, type = int, split = ' ', F = None):\\n  return [read_list(type, F = F) for _ in range(N)]\\n\\n\\nm, n = read_list()\\nB = read_list_of_list(m)\\nL = []\\nfor b in B:\\n  b = set(b[1:])\\n  for l in L:\\n    if l.isdisjoint(b):\\n      print('impossible')\\n      return\\n  L += [b]\\n  \\nprint('possible')\", \"m, n = list(map(int, input().split()))\\ns = [set([int(x) for x in input().split()][1:]) for _ in range(m)]\\nok = True\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if not s[i] & s[j]:\\n            ok = False\\n            break\\n    if not ok:\\n        break\\nprint((\\\"\\\" if ok else \\\"im\\\") + \\\"possible\\\")\\n\", \"m,n=map(int,input().split())\\nl=[]\\nl=[list(map(int,input().split())) for i in range(m)]\\n\\nl=[set(i[1:]) for i in l]\\nfor i in range(m):\\n\\tfor j in range(i+1,m):\\n\\t\\tif len(l[i].intersection(l[j]))==0:\\n\\t\\t\\tprint('impossible')\\n\\t\\t\\treturn\\nprint('possible')\", \"m,n = map(int, input().split())\\nsets = []\\nfor i  in range(m):\\n    a = list(map(int,input().split()))\\n    sets.append(set(a[1:]))\\ngood = True\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        if len(sets[i]&sets[j])==0:\\n            good = False\\nif good:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"m,n = list(map(int,input().split()))\\nt = []\\nfor i in range(m):\\n    temp = list(map(int,input().split()))[1:]\\n    bit = 0\\n    for i in temp:\\n        bit ^= (1<<(i-1))\\n    t.append(bit)\\nans = True\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if t[i] & t[j] == 0:\\n            ans = False\\nprint('possible' if ans else 'impossible')\\n\", \"m,n = list(map(int,input().split()))\\nt  = [set([i for i in list(map(int,input().split()))[1:]]) for _ in range(m)]\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if len(t[i]&t[j]) == 0:\\n            print('impossible')\\n            break\\n    else:\\n        continue\\n    break\\nelse:\\n    print('possible')\\n\", \"m,n=list(map(int,input().split()))\\nL=[]\\nfor i in range(0,m):\\n    s=[int(x) for x in input().split()]\\n    s=s[1:]\\n    L.append(set(s))\\n\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if(len(L[i]&L[j])==0):\\n            print('impossible')\\n            break\\n    else:\\n        continue\\n    break\\nelse:\\n    print('possible')\\n\", \"m, n = list(map(int, input().split()))\\n\\ns = [0] * m\\n\\nfor w in range(m):\\n    for i in list(map(int, input().split()))[1:]:\\n         s[w] |= 1 << i\\n\\nfor i in s:\\n    for j in s:\\n        if not (i & j):\\n            print('impossible')\\n            return\\n\\nprint('possible')\\n\", \"m, n = map(int, input().split())\\n\\ns = [0] * m\\n\\nfor w in range(m):\\n    for i in list(map(int, input().split()))[1:]:\\n        s[w] |= 1 << i\\n\\nfor i in s:\\n    for j in s:\\n        if not (i & j):\\n            print('impossible')\\n            return\\n\\nprint('possible')\", \"m,n = [int(i) for i in input().split()]\\nmas = set(range(1,n+1))\\n\\nsetd = []\\nsets = []\\nfor i in range(m):\\n    s = set()\\n    [s.add(int(j)) for j in input().split()[1:]]\\n    setd.append(s)\\n    sets.append(mas.difference(s))\\n\\n\\n#print(setd)\\n#print(sets)\\n\\n\\nflag = True\\nfor i in range(m):\\n    for j in range(m):\\n        if sets[i].issuperset(setd[j]):\\n            flag = False\\n\\n            break\\n\\nif flag:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"m,n = list(map(int,input().split()))\\n\\na = [0]*m\\n\\nfor i in range(m):\\n    k = list(map(int,input().split()))\\n    for j in range(k[0]):\\n        a[i] |= 1<<k[j+1]\\n\\nfor i in range(m):\\n    for j in range(m):\\n        if a[i]&a[j] == 0:\\n            print(\\\"impossible\\\")\\n            quit()\\nprint(\\\"possible\\\")\\n\", \"m, n = list(map(int,input().split()))\\nt = []\\n\\nfor i in range(m):\\n\\ttemp = list(map(int,input().split()))\\n\\tbit = 0\\n\\tfor i in temp[1:]:\\n\\t\\tbit ^= (1 << (i - 1))\\n\\tt.append(bit)\\n\\nans = True\\n\\nfor i in range(m - 1):\\n\\tfor j in range(i + 1, m):\\n\\t\\tif t[i] & t[j] == 0:\\n\\t\\t\\tans = False\\n\\nprint('possible' if ans else 'impossible')\\n\", \"m,n=list(map(int,input().split()))\\ns=set(range(1,n+1))\\nd=[[None,None]for i in range(m)]\\nfor i in range(m):\\n    x=list(map(int,input().split()))[1:]\\n    x=set(x)\\n    d[i][0]=x\\n    d[i][1]=s-x\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        bi,si=d[i]\\n        bj,sj=d[j]\\n        if sj.issuperset(bi) and bj.issubset(si):\\n            print('impossible')\\n            quit()\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nt = [set([int(i) for i in input().split()][1:]) for j in range(m)]\\nfor i in range(m - 1):\\n    for j in range(1, m):\\n        if not (t[i] & t[j]):\\n            print('impossible')\\n            return\\nprint('possible')\\n\"]",
        "difficulty": "interview",
        "input": "10 100\n4 51 22 73 78\n1 52\n5 49 74 100 14 80\n1 6\n2 98 65\n5 79 13 47 24 77\n6 47 57 35 24 59 94\n9 89 11 3 67 80 70 44 75 6\n7 12 9 92 30 10 29 70\n8 99 34 89 87 63 2 96 25\n",
        "output": "impossible\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1166/E"
    },
    {
        "id": 247,
        "task_id": 2293,
        "test_case_id": 5,
        "question": "Dora the explorer has decided to use her money after several years of juicy royalties to go shopping. What better place to shop than Nlogonia?\n\nThere are $n$ stores numbered from $1$ to $n$ in Nlogonia. The $i$-th of these stores offers a positive integer $a_i$.\n\nEach day among the last $m$ days Dora bought a single integer from some of the stores. The same day, Swiper the fox bought a single integer from all the stores that Dora did not buy an integer from on that day.\n\nDora considers Swiper to be her rival, and she considers that she beat Swiper on day $i$ if and only if the least common multiple of the numbers she bought on day $i$ is strictly greater than the least common multiple of the numbers that Swiper bought on day $i$.\n\nThe least common multiple (LCM) of a collection of integers is the smallest positive integer that is divisible by all the integers in the collection.\n\nHowever, Dora forgot the values of $a_i$. Help Dora find out if there are positive integer values of $a_i$ such that she beat Swiper on every day. You don't need to find what are the possible values of $a_i$ though.\n\nNote that it is possible for some values of $a_i$ to coincide in a solution.\n\n\n-----Input-----\n\nThe first line contains integers $m$ and $n$ ($1\\leq m \\leq 50$, $1\\leq n \\leq 10^4$) — the number of days and the number of stores.\n\nAfter this $m$ lines follow, the $i$-th line starts with an integer $s_i$ ($1\\leq s_i \\leq n-1$), the number of integers Dora bought on day $i$, followed by $s_i$ distinct integers, the indices of the stores where Dora bought an integer on the $i$-th day. The indices are between $1$ and $n$.\n\n\n-----Output-----\n\nOutput must consist of a single line containing \"possible\" if there exist positive integers $a_i$ such that for each day the least common multiple of the integers bought by Dora is strictly greater than the least common multiple of the integers bought by Swiper on that day. Otherwise, print \"impossible\".\n\nNote that you don't have to restore the integers themselves.\n\n\n-----Examples-----\nInput\n2 5\n3 1 2 3\n3 3 4 5\n\nOutput\npossible\n\nInput\n10 10\n1 1\n1 2\n1 3\n1 4\n1 5\n1 6\n1 7\n1 8\n1 9\n1 10\n\nOutput\nimpossible\n\n\n\n-----Note-----\n\nIn the first sample, a possible choice for the values of the $a_i$ is $3, 4, 3, 5, 2$. On the first day, Dora buys the integers $3, 4$ and $3$, whose LCM is $12$, while Swiper buys integers $5$ and $2$, whose LCM is $10$. On the second day, Dora buys $3, 5$ and $2$, whose LCM is $30$, and Swiper buys integers $3$ and $4$, whose LCM is $12$.",
        "solutions": "[\"import sys\\ninput = sys.stdin.readline\\n\\nm, n = list(map(int, input().split()))\\nDora = []\\nSwiper = []\\nall = set([i for i in range(1, n+1)])\\nfor _ in range(m):\\n    a = set(list(map(int, input().split()))[1:])\\n    Dora.append(a)\\n    Swiper.append(all.difference(a))\\n\\nflag = 1\\nfor i in range(m):\\n    for j in range(m):\\n        if Dora[i] | Swiper[j] == Swiper[j]:\\n            flag = 0\\n            break\\n    if flag == 0:\\n        break\\n\\nif flag == 1:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\\n\", \"# stdin=open('input.txt')\\nfrom sys import stdin, stdout\\ndef input():\\n\\treturn stdin.readline()[:-1]\\n\\n\\n# stdout=open('output.txt',mode='w+')\\n\\n# def print(x, end='\\\\n'):\\n# \\tstdout.write(str(x) +end)\\n\\n\\n# a, b = map(int, input().split())\\n\\n# l = list(map(int, input().split()))\\n\\n# n = int(input())\\n\\n\\n\\n\\n\\n# CODE BEGINS HERE.................\\n\\n# import copy\\nimport math\\n# import sys\\n# sys.setrecursionlimit(10**7)\\n\\nm, n = list(map(int, input().split()))\\n\\ndays = []\\nfor i in range(m):\\n\\tdays.append(set(list(map(int, input().split()))[1:]))\\npossible = True\\nfor i in range(m):\\n\\tfor j in range(i):\\n\\t\\tif not days[i].intersection(days[j]):\\n\\t\\t\\tpossible = False\\n\\t\\t\\tbreak\\n\\tif not possible:\\n\\t\\tbreak\\n\\nif possible:\\n\\tprint('possible')\\nelse:\\n\\tprint('impossible')\\n\\n#CODE ENDS HERE....................\\n\\n\\n#stdout.close()\\n\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nm,n=list(map(int,input().split()))\\n\\nD=[set(list(map(int,input().split()))[1:]) for i in range(m)]\\n\\n\\nfor i in range(m-1):\\n    for j in range(1,m):\\n        if D[i] & D[j]== set():\\n            print(\\\"impossible\\\")\\n            return\\nelse:\\n    print(\\\"possible\\\")\\n\\n\", \"def check(arr1, arr2):\\n    i1 = 0\\n    i2 = 0\\n    while True:\\n        if i1 == len(arr1) or i2 == len(arr2):\\n            return False\\n        elif arr1[i1] == arr2[i2]:\\n            return True\\n        elif arr1[i1] < arr2[i2]:\\n            i1 += 1\\n        else:\\n            i2 += 1\\n\\n\\nm, n = (int(x) for x in input().split())\\n\\nday___set = []\\nfor i in range(m):\\n    x = sorted([int(x) for x in input().split()][1:])\\n    day___set.append(x)\\n\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if not check(day___set[i], day___set[j]):\\n            print('impossible')\\n            quit()\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nD = []\\nkok = {i for i in range(1, n + 1)}\\nfor i in range(m):\\n    A = list(map(int, input().split()))\\n    D.append(set(A[1:]))\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if D[i].intersection(D[j]) == set():\\n            print('impossible')\\n            return\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nD = []\\nfor i in range(m):\\n    A = list(map(int, input().split()))\\n    D.append(set(A[1:]))\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if D[i].intersection(D[j]) == set():\\n            print('impossible')\\n            return\\nprint('possible')\\n\", \"inp = lambda cast=int: list(map(cast, input().split()))\\nprintf = lambda s='', *args, **kwargs: print(str(s).format(*args), flush=True, **kwargs)\\nm, n = inp()\\nA = []\\nfor _ in range(m ):\\n    l = inp()\\n    A.append(set(l[1:]))\\nfor i in range(m):\\n    for j in range(m):\\n        if i == j: continue\\n        if not A[i].intersection(A[j]):\\n            print('impossible')\\n            return\\nprint('possible')\", \"M, N = list(map(int, input().split()))\\nX = []\\nfor i in range(M):\\n    X.append(set(list(map(int, input().split()))[1:]))\\n\\nflg = 1\\nfor i in range(M):\\n    for j in range(i):\\n        if len(X[i] & X[j]) == 0:\\n            flg = 0\\n            break\\n    if flg == 0:\\n        break\\n\\nif flg:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\\n\", \"m,n=map(int,input().split())\\nl=[]\\n#print(m,n)\\nfor i in range(m):\\n\\tl+=[list(map(int,input().split()))]\\nl=[set(i[1:]) for i in l]\\n#k=0\\n#print(n,m)\\nfor i in range(m):\\n\\tfor j in range(i+1,m):\\n\\t\\t#print(a,b,a.intersection(b))\\n\\t\\tif len(l[i].intersection(l[j]))==0:\\n\\t\\t\\tprint('impossible')\\n\\t\\t\\treturn\\n\\t\\\"\\\"\\\"count=0\\n\\t\\t\\t\\tfor j in range(m):\\n\\t\\t\\t\\t\\tif i in l[j]:\\n\\t\\t\\t\\t\\t\\tcount+=1\\n\\t\\t\\t\\tif count==m:\\n\\t\\t\\t\\t\\tprint('possible')\\n\\t\\t\\t\\t\\treturn\\\"\\\"\\\"\\nprint('possible')\", \"m,n=map(int,input().split())\\nsets=[]\\nfor i in range(m):\\n    a=list(map(int,input().split()))\\n    sets.append(set(a[1:]))\\ngood=True\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        if len(sets[i]&sets[j])==0:\\n            good=False\\nif good:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"import math\\nm,n = list(map(int,input().split()))\\ndays = []\\nfor z in range(m):\\n\\tt = set(list(map(int,input().split()))[1:])\\n\\tdays.append(t)\\ncheck = True\\nfor i in range(m):\\n\\tfor j in range(i):\\n\\t\\tif not days[i].intersection(days[j]):\\n\\t\\t\\tcheck = False\\n\\t\\t\\tbreak\\n\\t\\tif not check:\\n\\t\\t\\tbreak\\nif(check):\\n\\tprint(\\\"possible\\\")\\nelse:\\n\\tprint(\\\"impossible\\\")\\n\\n\", \"import math\\nimport re\\nimport sys\\nfrom collections import defaultdict\\nfrom heapq import heappush, heappop\\nfrom fractions import gcd\\n\\ndef read(type = int):\\n  return type(input())\\n  \\ndef read_list(type = int, split = ' ', F = None):\\n  if F:\\n    return map(lambda x: F(type(x)), raw_input().split(split))\\n  return list(map(type, input().split(split)))\\n\\ndef read_list_of_list(N, type = int, split = ' ', F = None):\\n  return [read_list(type, F = F) for _ in range(N)]\\n\\n\\nm, n = read_list()\\nB = read_list_of_list(m)\\nL = []\\nfor b in B:\\n  b = set(b[1:])\\n  for l in L:\\n    if l.isdisjoint(b):\\n      print('impossible')\\n      return\\n  L += [b]\\n  \\nprint('possible')\", \"m, n = list(map(int, input().split()))\\ns = [set([int(x) for x in input().split()][1:]) for _ in range(m)]\\nok = True\\nfor i in range(m):\\n    for j in range(i + 1, m):\\n        if not s[i] & s[j]:\\n            ok = False\\n            break\\n    if not ok:\\n        break\\nprint((\\\"\\\" if ok else \\\"im\\\") + \\\"possible\\\")\\n\", \"m,n=map(int,input().split())\\nl=[]\\nl=[list(map(int,input().split())) for i in range(m)]\\n\\nl=[set(i[1:]) for i in l]\\nfor i in range(m):\\n\\tfor j in range(i+1,m):\\n\\t\\tif len(l[i].intersection(l[j]))==0:\\n\\t\\t\\tprint('impossible')\\n\\t\\t\\treturn\\nprint('possible')\", \"m,n = map(int, input().split())\\nsets = []\\nfor i  in range(m):\\n    a = list(map(int,input().split()))\\n    sets.append(set(a[1:]))\\ngood = True\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        if len(sets[i]&sets[j])==0:\\n            good = False\\nif good:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"m,n = list(map(int,input().split()))\\nt = []\\nfor i in range(m):\\n    temp = list(map(int,input().split()))[1:]\\n    bit = 0\\n    for i in temp:\\n        bit ^= (1<<(i-1))\\n    t.append(bit)\\nans = True\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if t[i] & t[j] == 0:\\n            ans = False\\nprint('possible' if ans else 'impossible')\\n\", \"m,n = list(map(int,input().split()))\\nt  = [set([i for i in list(map(int,input().split()))[1:]]) for _ in range(m)]\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if len(t[i]&t[j]) == 0:\\n            print('impossible')\\n            break\\n    else:\\n        continue\\n    break\\nelse:\\n    print('possible')\\n\", \"m,n=list(map(int,input().split()))\\nL=[]\\nfor i in range(0,m):\\n    s=[int(x) for x in input().split()]\\n    s=s[1:]\\n    L.append(set(s))\\n\\nfor i in range(m-1):\\n    for j in range(i+1,m):\\n        if(len(L[i]&L[j])==0):\\n            print('impossible')\\n            break\\n    else:\\n        continue\\n    break\\nelse:\\n    print('possible')\\n\", \"m, n = list(map(int, input().split()))\\n\\ns = [0] * m\\n\\nfor w in range(m):\\n    for i in list(map(int, input().split()))[1:]:\\n         s[w] |= 1 << i\\n\\nfor i in s:\\n    for j in s:\\n        if not (i & j):\\n            print('impossible')\\n            return\\n\\nprint('possible')\\n\", \"m, n = map(int, input().split())\\n\\ns = [0] * m\\n\\nfor w in range(m):\\n    for i in list(map(int, input().split()))[1:]:\\n        s[w] |= 1 << i\\n\\nfor i in s:\\n    for j in s:\\n        if not (i & j):\\n            print('impossible')\\n            return\\n\\nprint('possible')\", \"m,n = [int(i) for i in input().split()]\\nmas = set(range(1,n+1))\\n\\nsetd = []\\nsets = []\\nfor i in range(m):\\n    s = set()\\n    [s.add(int(j)) for j in input().split()[1:]]\\n    setd.append(s)\\n    sets.append(mas.difference(s))\\n\\n\\n#print(setd)\\n#print(sets)\\n\\n\\nflag = True\\nfor i in range(m):\\n    for j in range(m):\\n        if sets[i].issuperset(setd[j]):\\n            flag = False\\n\\n            break\\n\\nif flag:\\n    print(\\\"possible\\\")\\nelse:\\n    print(\\\"impossible\\\")\", \"m,n = list(map(int,input().split()))\\n\\na = [0]*m\\n\\nfor i in range(m):\\n    k = list(map(int,input().split()))\\n    for j in range(k[0]):\\n        a[i] |= 1<<k[j+1]\\n\\nfor i in range(m):\\n    for j in range(m):\\n        if a[i]&a[j] == 0:\\n            print(\\\"impossible\\\")\\n            quit()\\nprint(\\\"possible\\\")\\n\", \"m, n = list(map(int,input().split()))\\nt = []\\n\\nfor i in range(m):\\n\\ttemp = list(map(int,input().split()))\\n\\tbit = 0\\n\\tfor i in temp[1:]:\\n\\t\\tbit ^= (1 << (i - 1))\\n\\tt.append(bit)\\n\\nans = True\\n\\nfor i in range(m - 1):\\n\\tfor j in range(i + 1, m):\\n\\t\\tif t[i] & t[j] == 0:\\n\\t\\t\\tans = False\\n\\nprint('possible' if ans else 'impossible')\\n\", \"m,n=list(map(int,input().split()))\\ns=set(range(1,n+1))\\nd=[[None,None]for i in range(m)]\\nfor i in range(m):\\n    x=list(map(int,input().split()))[1:]\\n    x=set(x)\\n    d[i][0]=x\\n    d[i][1]=s-x\\nfor i in range(m):\\n    for j in range(i+1,m):\\n        bi,si=d[i]\\n        bj,sj=d[j]\\n        if sj.issuperset(bi) and bj.issubset(si):\\n            print('impossible')\\n            quit()\\nprint('possible')\\n\", \"m, n = list(map(int, input().split()))\\nt = [set([int(i) for i in input().split()][1:]) for j in range(m)]\\nfor i in range(m - 1):\\n    for j in range(1, m):\\n        if not (t[i] & t[j]):\\n            print('impossible')\\n            return\\nprint('possible')\\n\"]",
        "difficulty": "interview",
        "input": "4 4\n2 1 2\n2 2 3\n2 3 4\n2 4 1\n",
        "output": "impossible\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1166/E"
    },
    {
        "id": 248,
        "task_id": 2349,
        "test_case_id": 1,
        "question": "On the well-known testing system MathForces, a draw of $n$ rating units is arranged. The rating will be distributed according to the following algorithm: if $k$ participants take part in this event, then the $n$ rating is evenly distributed between them and rounded to the nearest lower integer, At the end of the drawing, an unused rating may remain — it is not given to any of the participants.\n\nFor example, if $n = 5$ and $k = 3$, then each participant will recieve an $1$ rating unit, and also $2$ rating units will remain unused. If $n = 5$, and $k = 6$, then none of the participants will increase their rating.\n\nVasya participates in this rating draw but does not have information on the total number of participants in this event. Therefore, he wants to know what different values of the rating increment are possible to get as a result of this draw and asks you for help.\n\nFor example, if $n=5$, then the answer is equal to the sequence $0, 1, 2, 5$. Each of the sequence values (and only them) can be obtained as $\\lfloor n/k \\rfloor$ for some positive integer $k$ (where $\\lfloor x \\rfloor$ is the value of $x$ rounded down): $0 = \\lfloor 5/7 \\rfloor$, $1 = \\lfloor 5/5 \\rfloor$, $2 = \\lfloor 5/2 \\rfloor$, $5 = \\lfloor 5/1 \\rfloor$.\n\nWrite a program that, for a given $n$, finds a sequence of all possible rating increments.\n\n\n-----Input-----\n\nThe first line contains integer number $t$ ($1 \\le t \\le 10$) — the number of test cases in the input. Then $t$ test cases follow.\n\nEach line contains an integer $n$ ($1 \\le n \\le 10^9$) — the total number of the rating units being drawn.\n\n\n-----Output-----\n\nOutput the answers for each of $t$ test cases. Each answer should be contained in two lines.\n\nIn the first line print a single integer $m$ — the number of different rating increment values that Vasya can get.\n\nIn the following line print $m$ integers in ascending order — the values of possible rating increments.\n\n\n-----Example-----\nInput\n4\n5\n11\n1\n3\n\nOutput\n4\n0 1 2 5 \n6\n0 1 2 3 5 11 \n2\n0 1 \n3\n0 1 3",
        "solutions": "[\"tst = int(input())\\nfor i in range(0, tst):\\n    n = int(input())\\n    ans = 1\\n    l = 1\\n    p = []\\n    while l <= n:\\n        ans += 1\\n        l = n // (n // l)\\n        p.append(n // l)\\n        l += 1\\n    p.append(0)\\n    p.reverse()\\n    print(len(p))\\n    print(\\\" \\\".join(str(x) for x in p))\", \"t = int(input())\\n\\nfor _ in range(t):\\n    n = int(input())\\n\\n    l = [n]\\n    test = 2\\n    while n//test != l[-1]:\\n        l.append(n//test)\\n        test += 1\\n\\n    while l[-1] != 0:\\n        l.append(l[-1] - 1)\\n        \\n    print(len(l))\\n    print(' '.join(map(str,l[::-1])))\\n\", \"for _ in range(int(input())):\\n    n = int(input())\\n    d = 1\\n    res = [0]\\n    while d <= n:\\n        e = n // d\\n        res.append(e)\\n        d = (n // e) + 1\\n    print(len(res))\\n    print(*sorted(res))\", \"t = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    set_ = set()\\n    for i in range(1, int(n**0.5)+10):\\n        set_.add(n // i)\\n    li = sorted(list(set_))\\n    num = li[0]\\n    li2 = [i for i in range(num)]\\n    print(len(li2) + len(li))\\n    print(*li2 + li)\", \"t=int(input())\\nfor _ in range(t):\\n    n=int(input())\\n    aa=[]\\n    ind=1\\n    while True:\\n        aa.append(n//ind)\\n        if len(aa)>=2:\\n            if aa[-1]==aa[-2]:\\n                for i in range(aa[-1],-1,-1):\\n                    aa.append(i)\\n                break\\n        ind+=1\\n    print(len(set(aa)))\\n    print(*sorted(list(set(aa))))\\n    \\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nt=int(input())\\nfor testcases in range(t):\\n    n=int(input())\\n\\n    ANS=[n//1]\\n\\n    for i in range(2,n):\\n        ANS.append(n//i)\\n\\n        if n/(i-1)-n/i<1:\\n            break\\n\\n    A=list(range(0,ANS[-1]))+sorted(set(ANS))\\n\\n    print(len(A))\\n    print(*A)\\n\", \"def kek(n):\\n\\tl = [0]\\n\\tl2 = []\\n\\ti = 1\\n\\twhile i * i < n:\\n\\t\\tl.append(i)\\n\\t\\tif n // i != i:\\n\\t\\t\\tl2.append(n // i)\\n\\t\\ti += 1\\n\\tif i * i == n:\\n\\t\\tl.append(i)\\n\\tl2.reverse()\\n\\tl += l2\\n\\treturn l\\n\\ndef main():\\n\\tfor _ in range(int(input())):\\n\\t\\tn = int(input())\\n\\t\\tl = kek(n)\\n\\t\\tprint(len(l))\\n\\t\\tfor i in l:\\n\\t\\t\\tprint(i, end=' ')\\n\\t\\tprint()\\nmain()\", \"for _ in range(int(input())):\\n\\tn=int(input())\\n\\tif n<=1000005:\\n\\t\\tl=[0,1]\\n\\t\\tfor k in range(n-1,0,-1):\\n\\t\\t\\ta=n//k\\n\\t\\t\\tif a>l[-1]:\\n\\t\\t\\t\\tl.append(a)\\n\\t\\tprint(len(l))\\n\\t\\tprint(*l)\\n\\telse:\\n\\t\\tl=[x for x in range(1001)]\\n\\t\\tfor k in range(1000000,0,-1):\\n\\t\\t\\ta=n//k\\n\\t\\t\\tif a>l[-1]:\\n\\t\\t\\t\\tl.append(a)\\n\\t\\tprint(len(l))\\n\\t\\tprint(*l)\", \"q = int(input())\\nfor ifwfwe in range(q):\\n\\tn = int(input())\\n\\ti = 1\\n\\todp = [0]\\n\\twhile i*i <= n:\\n\\t\\todp.append(i)\\n\\t\\ti += 1\\n\\twhile i > 0:\\n\\t\\tif n // i > odp[-1]:\\n\\t\\t\\todp.append(n//i)\\n\\t\\ti -= 1\\n\\tprint(len(odp))\\n\\tprint(*odp)\", \"def solve():\\n    n = int(input())\\n    s = set()\\n    s.add(0)\\n    for i in range(1, int(n**0.5)+1):\\n        k = n//i\\n        s.add(k)\\n        s.add(i)\\n    ans = sorted(s)\\n    print(len(ans))\\n    print(*ans)\\n\\nt = int(input())\\nfor i in range(t):\\n    solve()\", \"#603_C\\n\\nt = int(input())\\n\\nfor i in range(0, t):\\n    n = int(input())\\n    ln = [0]\\n    oned = False\\n    sqt = n // int(n ** 0.5)\\n    on = -1\\n    for j in range(1, max(2, int(n ** 0.5) + 1)):\\n        if n // j != on:\\n            ln.append(n // j)\\n            if n // j == 1:\\n                oned = True\\n        on = n // j\\n    for j in range(len(ln) - 1, 0, -1):\\n        if n // ln[j] == sqt:\\n            continue\\n        ln.append(n // ln[j])\\n        if n // ln[j] == 1:\\n            oned = True\\n    if not oned:\\n        ln.append(1)\\n    print(len(ln))\\n    print(\\\" \\\".join([str(j) for j in sorted(ln)]))\\n\", \"import sys\\ndef I():\\n        return sys.stdin.readline().rstrip()\\n\\nfor _ in range( int(I()) ):\\n    n = int(I())\\n    a = [ 0, 1 ]\\n    i = n\\n    while i > 0:\\n        if n // i > a[ -1 ]:\\n            a.append( n // i )\\n        i = n // ( a[ -1 ] + 1 )\\n    print( len( a ) )\\n    print( *a )\\n\", \"import math\\nt = int(input())\\nfor i in range (t):\\n    n = int(input())\\n    m = math.floor(math.sqrt(n))\\n    ans = [j for j in range (m + 1)]\\n    left = m\\n    while m > 0:\\n        k = n//m\\n        if left == k:\\n            m -= 1\\n            continue\\n        ans.append(k)\\n        left = k\\n        m -= 1\\n    print(len(ans))\\n    print(*ans, sep = \\\" \\\")\", \"t = int(input())\\n\\nfor _ in range(t):\\n\\tn = int(input())\\n\\ts = set.union({0}, *({i, n//i} for i in range(1, int(n**.5)+1)))\\n\\tprint(len(s))\\n\\tfor v in sorted(s):\\n\\t\\tprint(v, end=\\\" \\\")\\n\\tprint()\", \"for _ in range(int(input())):\\n\\tn = int(input())\\n\\n\\tans = {0}\\n\\n\\tfor i in range(1, int(n ** 0.5 + 1)):\\n\\t\\tans.add(n // i)\\n\\t\\tans.add(n // (n // i))\\n\\n\\tprint(len(ans))\\n\\tprint(*sorted(ans))\", \"from math import sqrt\\nt=int(input())\\nfor _ in range(t):\\n\\tn=int(input())\\n\\tans=set()\\n\\tans.add(0)\\n\\troot=int(sqrt(n))\\n\\tfor x in range(1,root+1):\\n\\t\\tans.add(x)\\n\\t\\tans.add(n//x)\\n\\tprint(len(ans))\\n\\tans=sorted(ans)\\n\\tfor x in ans:\\n\\t\\tprint(x,end=' ')\\n\\tprint()\", \"# from fractions import gcd\\n# from datetime import date, timedelta\\n# from heapq import*\\n# import math\\n# from collections import defaultdict, Counter, deque\\n# import sys\\n# from bisect import *\\n# import itertools\\n# import copy\\n# sys.setrecursionlimit(10 ** 7)\\n# MOD = 10 ** 9 + 7\\n\\n\\n\\n\\n\\ndef main():\\n    t = int(input())\\n    for _ in range(t):\\n        n = int(input())\\n        prev = -1\\n        ans = []\\n        for i in range(1,40000):\\n            v = n//i\\n            if v == prev:\\n                break\\n            ans.append(v)\\n            prev = v\\n        for i in range(v-1, -1, -1):\\n            ans.append(i)\\n        print(len(ans))\\n        print(*ans[::-1])\\n\\n\\n\\n\\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"3\\n\\nimport os\\nimport sys\\n\\n\\ndef main():\\n    T = read_int()\\n    for _ in range(T):\\n        ans = solve(read_int())\\n        print(len(ans))\\n        print(*ans)\\n\\n\\ndef solve(N):\\n    ans = [N]\\n    i = 2\\n    while i * (i - 1) <= N:\\n        v = N // i\\n        if ans[-1] != v:\\n            ans.append(v)\\n        i += 1\\n\\n    v = ans[-1]\\n    for i in range(v - 1, -1, -1):\\n        ans.append(i)\\n    ans.reverse()\\n    return ans\\n\\n\\n###############################################################################\\n\\nDEBUG = 'DEBUG' in os.environ\\n\\n\\ndef inp():\\n    return sys.stdin.readline().rstrip()\\n\\n\\ndef read_int():\\n    return int(inp())\\n\\n\\ndef read_ints():\\n    return [int(e) for e in inp().split()]\\n\\n\\ndef dprint(*value, sep=' ', end='\\\\n'):\\n    if DEBUG:\\n        print(*value, sep=sep, end=end)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"# from sys import stdin\\n# def rl():\\n#     return [int(w) for w in stdin.readline().split()]\\nfrom bisect import bisect_right\\nfrom bisect import bisect_left\\nfrom collections import defaultdict\\nfrom math import sqrt,factorial,gcd,log2,inf,ceil\\n# map(int,input().split())\\n# # l = list(map(int,input().split()))\\n# from itertools import permutations\\nimport sys\\n# input = sys.stdin.readline\\n\\n# t = int(input())\\n#\\n# for _ in range(t):\\n#     a,b,c = map(int,input().split())\\n#     a,b,c = sorted([a,b,c])\\n#     ans = 0\\n#     ans+=b\\n#     c-=b\\n#\\n#     a,c = sorted([a,c])\\n#     ans+=a\\n#     print(ans)\\n\\n\\n# print(ans)\\n\\n\\n\\n\\nt = int(input())\\n\\nfor _ in range(t):\\n\\n    n = int(input())\\n\\n    ans = [1,0]\\n\\n    for i in range(1,int(sqrt(n)+1)):\\n        ans.append(n//i)\\n        ans.append(n//(n//i))\\n\\n    ans = list(set(ans))\\n    print(len(ans))\\n    ans.sort()\\n    print(*ans)\\n\\n\\n\\n\\n\", \"import sys\\n\\n\\n# inf = open('input.txt', 'r')\\n# reader = (int(line.rstrip()) for line in inf)\\nreader = (int(s.rstrip()) for s in sys.stdin)\\n\\ndef rating(n):\\n    m = n\\n    ans = [0, 1]\\n    ndiv = 2\\n    while True:\\n        brick = n // ndiv\\n        if not brick:\\n            break\\n        ndiv = n // brick\\n        ans.append(ndiv)\\n        ndiv += 1\\n    return ans\\n\\nt = next(reader)\\nfor _ in range(t):\\n    n = next(reader)\\n    ans = rating(n)\\n    sys.stdout.write(str(len(ans)) + '\\\\n')\\n    sys.stdout.write(' '.join(map(str, ans)) + '\\\\n')\\n    \\n# inf.close()\\n\", \"import math\\nt = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    divisors = set(n // i for i in range(1, int(math.sqrt(n))+1))\\n    for d in divisors.copy():\\n        divisors.add(n // d)\\n    divisors.add(0)\\n\\n    print(len(divisors))\\n    print(*sorted(divisors))\\n\", \"'''input\\n4\\n5\\n11\\n1\\n3\\n'''\\nfrom sys import stdin, stdout\\n\\n\\nfrom collections import defaultdict, deque\\n\\n# main starts \\nt = int(stdin.readline().strip())\\nfor _ in range(t):\\n\\tn = int(stdin.readline().strip())\\n\\tans = set()\\n\\tfor i in range(1, int(n ** 0.5) + 1):\\n\\t\\tans.add(i)\\n\\t\\tans.add(n//i)\\n\\n\\tans.add(0)\\n\\tans.add(1)\\n\\tans.add(n)\\n\\tans = list(ans)\\n\\tans.sort()\\n\\tprint(len(ans))\\n\\tprint(*ans)\\n\", \"sp = lambda: list(map(int, input().split()))\\nsi = lambda: int(input())\\n\\nTESTCASES = int(input())\\nfor tc in range(TESTCASES):\\n    n=si()\\n    ints = set(range(int(n**0.5)+1))\\n    for i in range(int(n**0.5)+1,0,-1):\\n        ints.add(n//i)\\n    ints=sorted(list(ints))\\n    print(len(ints))\\n    print(\\\" \\\".join(map(str,ints)))\\n\", \"for i in range(int(input())):\\n\\tn = int(input())\\n\\tb = [i for i in range(1, int(n**(1/2) + 1))]\\n\\tr = [str(m) for m in sorted(list(set(b + [n//i for i in b])))]\\n\\tprint(len(r) + 1)\\n\\tprint(0, ' '.join([str(m) for m in sorted(list(set(b + [n//i for i in b])))]))\"]",
        "difficulty": "interview",
        "input": "4\n5\n11\n1\n3\n",
        "output": "4\n0 1 2 5 \n6\n0 1 2 3 5 11 \n2\n0 1 \n3\n0 1 3 \n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1263/C"
    },
    {
        "id": 249,
        "task_id": 2349,
        "test_case_id": 2,
        "question": "On the well-known testing system MathForces, a draw of $n$ rating units is arranged. The rating will be distributed according to the following algorithm: if $k$ participants take part in this event, then the $n$ rating is evenly distributed between them and rounded to the nearest lower integer, At the end of the drawing, an unused rating may remain — it is not given to any of the participants.\n\nFor example, if $n = 5$ and $k = 3$, then each participant will recieve an $1$ rating unit, and also $2$ rating units will remain unused. If $n = 5$, and $k = 6$, then none of the participants will increase their rating.\n\nVasya participates in this rating draw but does not have information on the total number of participants in this event. Therefore, he wants to know what different values of the rating increment are possible to get as a result of this draw and asks you for help.\n\nFor example, if $n=5$, then the answer is equal to the sequence $0, 1, 2, 5$. Each of the sequence values (and only them) can be obtained as $\\lfloor n/k \\rfloor$ for some positive integer $k$ (where $\\lfloor x \\rfloor$ is the value of $x$ rounded down): $0 = \\lfloor 5/7 \\rfloor$, $1 = \\lfloor 5/5 \\rfloor$, $2 = \\lfloor 5/2 \\rfloor$, $5 = \\lfloor 5/1 \\rfloor$.\n\nWrite a program that, for a given $n$, finds a sequence of all possible rating increments.\n\n\n-----Input-----\n\nThe first line contains integer number $t$ ($1 \\le t \\le 10$) — the number of test cases in the input. Then $t$ test cases follow.\n\nEach line contains an integer $n$ ($1 \\le n \\le 10^9$) — the total number of the rating units being drawn.\n\n\n-----Output-----\n\nOutput the answers for each of $t$ test cases. Each answer should be contained in two lines.\n\nIn the first line print a single integer $m$ — the number of different rating increment values that Vasya can get.\n\nIn the following line print $m$ integers in ascending order — the values of possible rating increments.\n\n\n-----Example-----\nInput\n4\n5\n11\n1\n3\n\nOutput\n4\n0 1 2 5 \n6\n0 1 2 3 5 11 \n2\n0 1 \n3\n0 1 3",
        "solutions": "[\"tst = int(input())\\nfor i in range(0, tst):\\n    n = int(input())\\n    ans = 1\\n    l = 1\\n    p = []\\n    while l <= n:\\n        ans += 1\\n        l = n // (n // l)\\n        p.append(n // l)\\n        l += 1\\n    p.append(0)\\n    p.reverse()\\n    print(len(p))\\n    print(\\\" \\\".join(str(x) for x in p))\", \"t = int(input())\\n\\nfor _ in range(t):\\n    n = int(input())\\n\\n    l = [n]\\n    test = 2\\n    while n//test != l[-1]:\\n        l.append(n//test)\\n        test += 1\\n\\n    while l[-1] != 0:\\n        l.append(l[-1] - 1)\\n        \\n    print(len(l))\\n    print(' '.join(map(str,l[::-1])))\\n\", \"for _ in range(int(input())):\\n    n = int(input())\\n    d = 1\\n    res = [0]\\n    while d <= n:\\n        e = n // d\\n        res.append(e)\\n        d = (n // e) + 1\\n    print(len(res))\\n    print(*sorted(res))\", \"t = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    set_ = set()\\n    for i in range(1, int(n**0.5)+10):\\n        set_.add(n // i)\\n    li = sorted(list(set_))\\n    num = li[0]\\n    li2 = [i for i in range(num)]\\n    print(len(li2) + len(li))\\n    print(*li2 + li)\", \"t=int(input())\\nfor _ in range(t):\\n    n=int(input())\\n    aa=[]\\n    ind=1\\n    while True:\\n        aa.append(n//ind)\\n        if len(aa)>=2:\\n            if aa[-1]==aa[-2]:\\n                for i in range(aa[-1],-1,-1):\\n                    aa.append(i)\\n                break\\n        ind+=1\\n    print(len(set(aa)))\\n    print(*sorted(list(set(aa))))\\n    \\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nt=int(input())\\nfor testcases in range(t):\\n    n=int(input())\\n\\n    ANS=[n//1]\\n\\n    for i in range(2,n):\\n        ANS.append(n//i)\\n\\n        if n/(i-1)-n/i<1:\\n            break\\n\\n    A=list(range(0,ANS[-1]))+sorted(set(ANS))\\n\\n    print(len(A))\\n    print(*A)\\n\", \"def kek(n):\\n\\tl = [0]\\n\\tl2 = []\\n\\ti = 1\\n\\twhile i * i < n:\\n\\t\\tl.append(i)\\n\\t\\tif n // i != i:\\n\\t\\t\\tl2.append(n // i)\\n\\t\\ti += 1\\n\\tif i * i == n:\\n\\t\\tl.append(i)\\n\\tl2.reverse()\\n\\tl += l2\\n\\treturn l\\n\\ndef main():\\n\\tfor _ in range(int(input())):\\n\\t\\tn = int(input())\\n\\t\\tl = kek(n)\\n\\t\\tprint(len(l))\\n\\t\\tfor i in l:\\n\\t\\t\\tprint(i, end=' ')\\n\\t\\tprint()\\nmain()\", \"for _ in range(int(input())):\\n\\tn=int(input())\\n\\tif n<=1000005:\\n\\t\\tl=[0,1]\\n\\t\\tfor k in range(n-1,0,-1):\\n\\t\\t\\ta=n//k\\n\\t\\t\\tif a>l[-1]:\\n\\t\\t\\t\\tl.append(a)\\n\\t\\tprint(len(l))\\n\\t\\tprint(*l)\\n\\telse:\\n\\t\\tl=[x for x in range(1001)]\\n\\t\\tfor k in range(1000000,0,-1):\\n\\t\\t\\ta=n//k\\n\\t\\t\\tif a>l[-1]:\\n\\t\\t\\t\\tl.append(a)\\n\\t\\tprint(len(l))\\n\\t\\tprint(*l)\", \"q = int(input())\\nfor ifwfwe in range(q):\\n\\tn = int(input())\\n\\ti = 1\\n\\todp = [0]\\n\\twhile i*i <= n:\\n\\t\\todp.append(i)\\n\\t\\ti += 1\\n\\twhile i > 0:\\n\\t\\tif n // i > odp[-1]:\\n\\t\\t\\todp.append(n//i)\\n\\t\\ti -= 1\\n\\tprint(len(odp))\\n\\tprint(*odp)\", \"def solve():\\n    n = int(input())\\n    s = set()\\n    s.add(0)\\n    for i in range(1, int(n**0.5)+1):\\n        k = n//i\\n        s.add(k)\\n        s.add(i)\\n    ans = sorted(s)\\n    print(len(ans))\\n    print(*ans)\\n\\nt = int(input())\\nfor i in range(t):\\n    solve()\", \"#603_C\\n\\nt = int(input())\\n\\nfor i in range(0, t):\\n    n = int(input())\\n    ln = [0]\\n    oned = False\\n    sqt = n // int(n ** 0.5)\\n    on = -1\\n    for j in range(1, max(2, int(n ** 0.5) + 1)):\\n        if n // j != on:\\n            ln.append(n // j)\\n            if n // j == 1:\\n                oned = True\\n        on = n // j\\n    for j in range(len(ln) - 1, 0, -1):\\n        if n // ln[j] == sqt:\\n            continue\\n        ln.append(n // ln[j])\\n        if n // ln[j] == 1:\\n            oned = True\\n    if not oned:\\n        ln.append(1)\\n    print(len(ln))\\n    print(\\\" \\\".join([str(j) for j in sorted(ln)]))\\n\", \"import sys\\ndef I():\\n        return sys.stdin.readline().rstrip()\\n\\nfor _ in range( int(I()) ):\\n    n = int(I())\\n    a = [ 0, 1 ]\\n    i = n\\n    while i > 0:\\n        if n // i > a[ -1 ]:\\n            a.append( n // i )\\n        i = n // ( a[ -1 ] + 1 )\\n    print( len( a ) )\\n    print( *a )\\n\", \"import math\\nt = int(input())\\nfor i in range (t):\\n    n = int(input())\\n    m = math.floor(math.sqrt(n))\\n    ans = [j for j in range (m + 1)]\\n    left = m\\n    while m > 0:\\n        k = n//m\\n        if left == k:\\n            m -= 1\\n            continue\\n        ans.append(k)\\n        left = k\\n        m -= 1\\n    print(len(ans))\\n    print(*ans, sep = \\\" \\\")\", \"t = int(input())\\n\\nfor _ in range(t):\\n\\tn = int(input())\\n\\ts = set.union({0}, *({i, n//i} for i in range(1, int(n**.5)+1)))\\n\\tprint(len(s))\\n\\tfor v in sorted(s):\\n\\t\\tprint(v, end=\\\" \\\")\\n\\tprint()\", \"for _ in range(int(input())):\\n\\tn = int(input())\\n\\n\\tans = {0}\\n\\n\\tfor i in range(1, int(n ** 0.5 + 1)):\\n\\t\\tans.add(n // i)\\n\\t\\tans.add(n // (n // i))\\n\\n\\tprint(len(ans))\\n\\tprint(*sorted(ans))\", \"from math import sqrt\\nt=int(input())\\nfor _ in range(t):\\n\\tn=int(input())\\n\\tans=set()\\n\\tans.add(0)\\n\\troot=int(sqrt(n))\\n\\tfor x in range(1,root+1):\\n\\t\\tans.add(x)\\n\\t\\tans.add(n//x)\\n\\tprint(len(ans))\\n\\tans=sorted(ans)\\n\\tfor x in ans:\\n\\t\\tprint(x,end=' ')\\n\\tprint()\", \"# from fractions import gcd\\n# from datetime import date, timedelta\\n# from heapq import*\\n# import math\\n# from collections import defaultdict, Counter, deque\\n# import sys\\n# from bisect import *\\n# import itertools\\n# import copy\\n# sys.setrecursionlimit(10 ** 7)\\n# MOD = 10 ** 9 + 7\\n\\n\\n\\n\\n\\ndef main():\\n    t = int(input())\\n    for _ in range(t):\\n        n = int(input())\\n        prev = -1\\n        ans = []\\n        for i in range(1,40000):\\n            v = n//i\\n            if v == prev:\\n                break\\n            ans.append(v)\\n            prev = v\\n        for i in range(v-1, -1, -1):\\n            ans.append(i)\\n        print(len(ans))\\n        print(*ans[::-1])\\n\\n\\n\\n\\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"3\\n\\nimport os\\nimport sys\\n\\n\\ndef main():\\n    T = read_int()\\n    for _ in range(T):\\n        ans = solve(read_int())\\n        print(len(ans))\\n        print(*ans)\\n\\n\\ndef solve(N):\\n    ans = [N]\\n    i = 2\\n    while i * (i - 1) <= N:\\n        v = N // i\\n        if ans[-1] != v:\\n            ans.append(v)\\n        i += 1\\n\\n    v = ans[-1]\\n    for i in range(v - 1, -1, -1):\\n        ans.append(i)\\n    ans.reverse()\\n    return ans\\n\\n\\n###############################################################################\\n\\nDEBUG = 'DEBUG' in os.environ\\n\\n\\ndef inp():\\n    return sys.stdin.readline().rstrip()\\n\\n\\ndef read_int():\\n    return int(inp())\\n\\n\\ndef read_ints():\\n    return [int(e) for e in inp().split()]\\n\\n\\ndef dprint(*value, sep=' ', end='\\\\n'):\\n    if DEBUG:\\n        print(*value, sep=sep, end=end)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"# from sys import stdin\\n# def rl():\\n#     return [int(w) for w in stdin.readline().split()]\\nfrom bisect import bisect_right\\nfrom bisect import bisect_left\\nfrom collections import defaultdict\\nfrom math import sqrt,factorial,gcd,log2,inf,ceil\\n# map(int,input().split())\\n# # l = list(map(int,input().split()))\\n# from itertools import permutations\\nimport sys\\n# input = sys.stdin.readline\\n\\n# t = int(input())\\n#\\n# for _ in range(t):\\n#     a,b,c = map(int,input().split())\\n#     a,b,c = sorted([a,b,c])\\n#     ans = 0\\n#     ans+=b\\n#     c-=b\\n#\\n#     a,c = sorted([a,c])\\n#     ans+=a\\n#     print(ans)\\n\\n\\n# print(ans)\\n\\n\\n\\n\\nt = int(input())\\n\\nfor _ in range(t):\\n\\n    n = int(input())\\n\\n    ans = [1,0]\\n\\n    for i in range(1,int(sqrt(n)+1)):\\n        ans.append(n//i)\\n        ans.append(n//(n//i))\\n\\n    ans = list(set(ans))\\n    print(len(ans))\\n    ans.sort()\\n    print(*ans)\\n\\n\\n\\n\\n\", \"import sys\\n\\n\\n# inf = open('input.txt', 'r')\\n# reader = (int(line.rstrip()) for line in inf)\\nreader = (int(s.rstrip()) for s in sys.stdin)\\n\\ndef rating(n):\\n    m = n\\n    ans = [0, 1]\\n    ndiv = 2\\n    while True:\\n        brick = n // ndiv\\n        if not brick:\\n            break\\n        ndiv = n // brick\\n        ans.append(ndiv)\\n        ndiv += 1\\n    return ans\\n\\nt = next(reader)\\nfor _ in range(t):\\n    n = next(reader)\\n    ans = rating(n)\\n    sys.stdout.write(str(len(ans)) + '\\\\n')\\n    sys.stdout.write(' '.join(map(str, ans)) + '\\\\n')\\n    \\n# inf.close()\\n\", \"import math\\nt = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    divisors = set(n // i for i in range(1, int(math.sqrt(n))+1))\\n    for d in divisors.copy():\\n        divisors.add(n // d)\\n    divisors.add(0)\\n\\n    print(len(divisors))\\n    print(*sorted(divisors))\\n\", \"'''input\\n4\\n5\\n11\\n1\\n3\\n'''\\nfrom sys import stdin, stdout\\n\\n\\nfrom collections import defaultdict, deque\\n\\n# main starts \\nt = int(stdin.readline().strip())\\nfor _ in range(t):\\n\\tn = int(stdin.readline().strip())\\n\\tans = set()\\n\\tfor i in range(1, int(n ** 0.5) + 1):\\n\\t\\tans.add(i)\\n\\t\\tans.add(n//i)\\n\\n\\tans.add(0)\\n\\tans.add(1)\\n\\tans.add(n)\\n\\tans = list(ans)\\n\\tans.sort()\\n\\tprint(len(ans))\\n\\tprint(*ans)\\n\", \"sp = lambda: list(map(int, input().split()))\\nsi = lambda: int(input())\\n\\nTESTCASES = int(input())\\nfor tc in range(TESTCASES):\\n    n=si()\\n    ints = set(range(int(n**0.5)+1))\\n    for i in range(int(n**0.5)+1,0,-1):\\n        ints.add(n//i)\\n    ints=sorted(list(ints))\\n    print(len(ints))\\n    print(\\\" \\\".join(map(str,ints)))\\n\", \"for i in range(int(input())):\\n\\tn = int(input())\\n\\tb = [i for i in range(1, int(n**(1/2) + 1))]\\n\\tr = [str(m) for m in sorted(list(set(b + [n//i for i in b])))]\\n\\tprint(len(r) + 1)\\n\\tprint(0, ' '.join([str(m) for m in sorted(list(set(b + [n//i for i in b])))]))\"]",
        "difficulty": "interview",
        "input": "10\n2\n4\n6\n7\n8\n9\n10\n12\n13\n14\n",
        "output": "3\n0 1 2 \n4\n0 1 2 4 \n5\n0 1 2 3 6 \n5\n0 1 2 3 7 \n5\n0 1 2 4 8 \n6\n0 1 2 3 4 9 \n6\n0 1 2 3 5 10 \n7\n0 1 2 3 4 6 12 \n7\n0 1 2 3 4 6 13 \n7\n0 1 2 3 4 7 14 \n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1263/C"
    },
    {
        "id": 250,
        "task_id": 2349,
        "test_case_id": 3,
        "question": "On the well-known testing system MathForces, a draw of $n$ rating units is arranged. The rating will be distributed according to the following algorithm: if $k$ participants take part in this event, then the $n$ rating is evenly distributed between them and rounded to the nearest lower integer, At the end of the drawing, an unused rating may remain — it is not given to any of the participants.\n\nFor example, if $n = 5$ and $k = 3$, then each participant will recieve an $1$ rating unit, and also $2$ rating units will remain unused. If $n = 5$, and $k = 6$, then none of the participants will increase their rating.\n\nVasya participates in this rating draw but does not have information on the total number of participants in this event. Therefore, he wants to know what different values of the rating increment are possible to get as a result of this draw and asks you for help.\n\nFor example, if $n=5$, then the answer is equal to the sequence $0, 1, 2, 5$. Each of the sequence values (and only them) can be obtained as $\\lfloor n/k \\rfloor$ for some positive integer $k$ (where $\\lfloor x \\rfloor$ is the value of $x$ rounded down): $0 = \\lfloor 5/7 \\rfloor$, $1 = \\lfloor 5/5 \\rfloor$, $2 = \\lfloor 5/2 \\rfloor$, $5 = \\lfloor 5/1 \\rfloor$.\n\nWrite a program that, for a given $n$, finds a sequence of all possible rating increments.\n\n\n-----Input-----\n\nThe first line contains integer number $t$ ($1 \\le t \\le 10$) — the number of test cases in the input. Then $t$ test cases follow.\n\nEach line contains an integer $n$ ($1 \\le n \\le 10^9$) — the total number of the rating units being drawn.\n\n\n-----Output-----\n\nOutput the answers for each of $t$ test cases. Each answer should be contained in two lines.\n\nIn the first line print a single integer $m$ — the number of different rating increment values that Vasya can get.\n\nIn the following line print $m$ integers in ascending order — the values of possible rating increments.\n\n\n-----Example-----\nInput\n4\n5\n11\n1\n3\n\nOutput\n4\n0 1 2 5 \n6\n0 1 2 3 5 11 \n2\n0 1 \n3\n0 1 3",
        "solutions": "[\"tst = int(input())\\nfor i in range(0, tst):\\n    n = int(input())\\n    ans = 1\\n    l = 1\\n    p = []\\n    while l <= n:\\n        ans += 1\\n        l = n // (n // l)\\n        p.append(n // l)\\n        l += 1\\n    p.append(0)\\n    p.reverse()\\n    print(len(p))\\n    print(\\\" \\\".join(str(x) for x in p))\", \"t = int(input())\\n\\nfor _ in range(t):\\n    n = int(input())\\n\\n    l = [n]\\n    test = 2\\n    while n//test != l[-1]:\\n        l.append(n//test)\\n        test += 1\\n\\n    while l[-1] != 0:\\n        l.append(l[-1] - 1)\\n        \\n    print(len(l))\\n    print(' '.join(map(str,l[::-1])))\\n\", \"for _ in range(int(input())):\\n    n = int(input())\\n    d = 1\\n    res = [0]\\n    while d <= n:\\n        e = n // d\\n        res.append(e)\\n        d = (n // e) + 1\\n    print(len(res))\\n    print(*sorted(res))\", \"t = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    set_ = set()\\n    for i in range(1, int(n**0.5)+10):\\n        set_.add(n // i)\\n    li = sorted(list(set_))\\n    num = li[0]\\n    li2 = [i for i in range(num)]\\n    print(len(li2) + len(li))\\n    print(*li2 + li)\", \"t=int(input())\\nfor _ in range(t):\\n    n=int(input())\\n    aa=[]\\n    ind=1\\n    while True:\\n        aa.append(n//ind)\\n        if len(aa)>=2:\\n            if aa[-1]==aa[-2]:\\n                for i in range(aa[-1],-1,-1):\\n                    aa.append(i)\\n                break\\n        ind+=1\\n    print(len(set(aa)))\\n    print(*sorted(list(set(aa))))\\n    \\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nt=int(input())\\nfor testcases in range(t):\\n    n=int(input())\\n\\n    ANS=[n//1]\\n\\n    for i in range(2,n):\\n        ANS.append(n//i)\\n\\n        if n/(i-1)-n/i<1:\\n            break\\n\\n    A=list(range(0,ANS[-1]))+sorted(set(ANS))\\n\\n    print(len(A))\\n    print(*A)\\n\", \"def kek(n):\\n\\tl = [0]\\n\\tl2 = []\\n\\ti = 1\\n\\twhile i * i < n:\\n\\t\\tl.append(i)\\n\\t\\tif n // i != i:\\n\\t\\t\\tl2.append(n // i)\\n\\t\\ti += 1\\n\\tif i * i == n:\\n\\t\\tl.append(i)\\n\\tl2.reverse()\\n\\tl += l2\\n\\treturn l\\n\\ndef main():\\n\\tfor _ in range(int(input())):\\n\\t\\tn = int(input())\\n\\t\\tl = kek(n)\\n\\t\\tprint(len(l))\\n\\t\\tfor i in l:\\n\\t\\t\\tprint(i, end=' ')\\n\\t\\tprint()\\nmain()\", \"for _ in range(int(input())):\\n\\tn=int(input())\\n\\tif n<=1000005:\\n\\t\\tl=[0,1]\\n\\t\\tfor k in range(n-1,0,-1):\\n\\t\\t\\ta=n//k\\n\\t\\t\\tif a>l[-1]:\\n\\t\\t\\t\\tl.append(a)\\n\\t\\tprint(len(l))\\n\\t\\tprint(*l)\\n\\telse:\\n\\t\\tl=[x for x in range(1001)]\\n\\t\\tfor k in range(1000000,0,-1):\\n\\t\\t\\ta=n//k\\n\\t\\t\\tif a>l[-1]:\\n\\t\\t\\t\\tl.append(a)\\n\\t\\tprint(len(l))\\n\\t\\tprint(*l)\", \"q = int(input())\\nfor ifwfwe in range(q):\\n\\tn = int(input())\\n\\ti = 1\\n\\todp = [0]\\n\\twhile i*i <= n:\\n\\t\\todp.append(i)\\n\\t\\ti += 1\\n\\twhile i > 0:\\n\\t\\tif n // i > odp[-1]:\\n\\t\\t\\todp.append(n//i)\\n\\t\\ti -= 1\\n\\tprint(len(odp))\\n\\tprint(*odp)\", \"def solve():\\n    n = int(input())\\n    s = set()\\n    s.add(0)\\n    for i in range(1, int(n**0.5)+1):\\n        k = n//i\\n        s.add(k)\\n        s.add(i)\\n    ans = sorted(s)\\n    print(len(ans))\\n    print(*ans)\\n\\nt = int(input())\\nfor i in range(t):\\n    solve()\", \"#603_C\\n\\nt = int(input())\\n\\nfor i in range(0, t):\\n    n = int(input())\\n    ln = [0]\\n    oned = False\\n    sqt = n // int(n ** 0.5)\\n    on = -1\\n    for j in range(1, max(2, int(n ** 0.5) + 1)):\\n        if n // j != on:\\n            ln.append(n // j)\\n            if n // j == 1:\\n                oned = True\\n        on = n // j\\n    for j in range(len(ln) - 1, 0, -1):\\n        if n // ln[j] == sqt:\\n            continue\\n        ln.append(n // ln[j])\\n        if n // ln[j] == 1:\\n            oned = True\\n    if not oned:\\n        ln.append(1)\\n    print(len(ln))\\n    print(\\\" \\\".join([str(j) for j in sorted(ln)]))\\n\", \"import sys\\ndef I():\\n        return sys.stdin.readline().rstrip()\\n\\nfor _ in range( int(I()) ):\\n    n = int(I())\\n    a = [ 0, 1 ]\\n    i = n\\n    while i > 0:\\n        if n // i > a[ -1 ]:\\n            a.append( n // i )\\n        i = n // ( a[ -1 ] + 1 )\\n    print( len( a ) )\\n    print( *a )\\n\", \"import math\\nt = int(input())\\nfor i in range (t):\\n    n = int(input())\\n    m = math.floor(math.sqrt(n))\\n    ans = [j for j in range (m + 1)]\\n    left = m\\n    while m > 0:\\n        k = n//m\\n        if left == k:\\n            m -= 1\\n            continue\\n        ans.append(k)\\n        left = k\\n        m -= 1\\n    print(len(ans))\\n    print(*ans, sep = \\\" \\\")\", \"t = int(input())\\n\\nfor _ in range(t):\\n\\tn = int(input())\\n\\ts = set.union({0}, *({i, n//i} for i in range(1, int(n**.5)+1)))\\n\\tprint(len(s))\\n\\tfor v in sorted(s):\\n\\t\\tprint(v, end=\\\" \\\")\\n\\tprint()\", \"for _ in range(int(input())):\\n\\tn = int(input())\\n\\n\\tans = {0}\\n\\n\\tfor i in range(1, int(n ** 0.5 + 1)):\\n\\t\\tans.add(n // i)\\n\\t\\tans.add(n // (n // i))\\n\\n\\tprint(len(ans))\\n\\tprint(*sorted(ans))\", \"from math import sqrt\\nt=int(input())\\nfor _ in range(t):\\n\\tn=int(input())\\n\\tans=set()\\n\\tans.add(0)\\n\\troot=int(sqrt(n))\\n\\tfor x in range(1,root+1):\\n\\t\\tans.add(x)\\n\\t\\tans.add(n//x)\\n\\tprint(len(ans))\\n\\tans=sorted(ans)\\n\\tfor x in ans:\\n\\t\\tprint(x,end=' ')\\n\\tprint()\", \"# from fractions import gcd\\n# from datetime import date, timedelta\\n# from heapq import*\\n# import math\\n# from collections import defaultdict, Counter, deque\\n# import sys\\n# from bisect import *\\n# import itertools\\n# import copy\\n# sys.setrecursionlimit(10 ** 7)\\n# MOD = 10 ** 9 + 7\\n\\n\\n\\n\\n\\ndef main():\\n    t = int(input())\\n    for _ in range(t):\\n        n = int(input())\\n        prev = -1\\n        ans = []\\n        for i in range(1,40000):\\n            v = n//i\\n            if v == prev:\\n                break\\n            ans.append(v)\\n            prev = v\\n        for i in range(v-1, -1, -1):\\n            ans.append(i)\\n        print(len(ans))\\n        print(*ans[::-1])\\n\\n\\n\\n\\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"3\\n\\nimport os\\nimport sys\\n\\n\\ndef main():\\n    T = read_int()\\n    for _ in range(T):\\n        ans = solve(read_int())\\n        print(len(ans))\\n        print(*ans)\\n\\n\\ndef solve(N):\\n    ans = [N]\\n    i = 2\\n    while i * (i - 1) <= N:\\n        v = N // i\\n        if ans[-1] != v:\\n            ans.append(v)\\n        i += 1\\n\\n    v = ans[-1]\\n    for i in range(v - 1, -1, -1):\\n        ans.append(i)\\n    ans.reverse()\\n    return ans\\n\\n\\n###############################################################################\\n\\nDEBUG = 'DEBUG' in os.environ\\n\\n\\ndef inp():\\n    return sys.stdin.readline().rstrip()\\n\\n\\ndef read_int():\\n    return int(inp())\\n\\n\\ndef read_ints():\\n    return [int(e) for e in inp().split()]\\n\\n\\ndef dprint(*value, sep=' ', end='\\\\n'):\\n    if DEBUG:\\n        print(*value, sep=sep, end=end)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"# from sys import stdin\\n# def rl():\\n#     return [int(w) for w in stdin.readline().split()]\\nfrom bisect import bisect_right\\nfrom bisect import bisect_left\\nfrom collections import defaultdict\\nfrom math import sqrt,factorial,gcd,log2,inf,ceil\\n# map(int,input().split())\\n# # l = list(map(int,input().split()))\\n# from itertools import permutations\\nimport sys\\n# input = sys.stdin.readline\\n\\n# t = int(input())\\n#\\n# for _ in range(t):\\n#     a,b,c = map(int,input().split())\\n#     a,b,c = sorted([a,b,c])\\n#     ans = 0\\n#     ans+=b\\n#     c-=b\\n#\\n#     a,c = sorted([a,c])\\n#     ans+=a\\n#     print(ans)\\n\\n\\n# print(ans)\\n\\n\\n\\n\\nt = int(input())\\n\\nfor _ in range(t):\\n\\n    n = int(input())\\n\\n    ans = [1,0]\\n\\n    for i in range(1,int(sqrt(n)+1)):\\n        ans.append(n//i)\\n        ans.append(n//(n//i))\\n\\n    ans = list(set(ans))\\n    print(len(ans))\\n    ans.sort()\\n    print(*ans)\\n\\n\\n\\n\\n\", \"import sys\\n\\n\\n# inf = open('input.txt', 'r')\\n# reader = (int(line.rstrip()) for line in inf)\\nreader = (int(s.rstrip()) for s in sys.stdin)\\n\\ndef rating(n):\\n    m = n\\n    ans = [0, 1]\\n    ndiv = 2\\n    while True:\\n        brick = n // ndiv\\n        if not brick:\\n            break\\n        ndiv = n // brick\\n        ans.append(ndiv)\\n        ndiv += 1\\n    return ans\\n\\nt = next(reader)\\nfor _ in range(t):\\n    n = next(reader)\\n    ans = rating(n)\\n    sys.stdout.write(str(len(ans)) + '\\\\n')\\n    sys.stdout.write(' '.join(map(str, ans)) + '\\\\n')\\n    \\n# inf.close()\\n\", \"import math\\nt = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    divisors = set(n // i for i in range(1, int(math.sqrt(n))+1))\\n    for d in divisors.copy():\\n        divisors.add(n // d)\\n    divisors.add(0)\\n\\n    print(len(divisors))\\n    print(*sorted(divisors))\\n\", \"'''input\\n4\\n5\\n11\\n1\\n3\\n'''\\nfrom sys import stdin, stdout\\n\\n\\nfrom collections import defaultdict, deque\\n\\n# main starts \\nt = int(stdin.readline().strip())\\nfor _ in range(t):\\n\\tn = int(stdin.readline().strip())\\n\\tans = set()\\n\\tfor i in range(1, int(n ** 0.5) + 1):\\n\\t\\tans.add(i)\\n\\t\\tans.add(n//i)\\n\\n\\tans.add(0)\\n\\tans.add(1)\\n\\tans.add(n)\\n\\tans = list(ans)\\n\\tans.sort()\\n\\tprint(len(ans))\\n\\tprint(*ans)\\n\", \"sp = lambda: list(map(int, input().split()))\\nsi = lambda: int(input())\\n\\nTESTCASES = int(input())\\nfor tc in range(TESTCASES):\\n    n=si()\\n    ints = set(range(int(n**0.5)+1))\\n    for i in range(int(n**0.5)+1,0,-1):\\n        ints.add(n//i)\\n    ints=sorted(list(ints))\\n    print(len(ints))\\n    print(\\\" \\\".join(map(str,ints)))\\n\", \"for i in range(int(input())):\\n\\tn = int(input())\\n\\tb = [i for i in range(1, int(n**(1/2) + 1))]\\n\\tr = [str(m) for m in sorted(list(set(b + [n//i for i in b])))]\\n\\tprint(len(r) + 1)\\n\\tprint(0, ' '.join([str(m) for m in sorted(list(set(b + [n//i for i in b])))]))\"]",
        "difficulty": "interview",
        "input": "3\n990\n94\n848\n",
        "output": "62\n0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 33 34 35 36 38 39 41 43 45 47 49 52 55 58 61 66 70 76 82 90 99 110 123 141 165 198 247 330 495 990 \n19\n0 1 2 3 4 5 6 7 8 9 10 11 13 15 18 23 31 47 94 \n58\n0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 35 36 38 40 42 44 47 49 53 56 60 65 70 77 84 94 106 121 141 169 212 282 424 848 \n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1263/C"
    },
    {
        "id": 251,
        "task_id": 2349,
        "test_case_id": 4,
        "question": "On the well-known testing system MathForces, a draw of $n$ rating units is arranged. The rating will be distributed according to the following algorithm: if $k$ participants take part in this event, then the $n$ rating is evenly distributed between them and rounded to the nearest lower integer, At the end of the drawing, an unused rating may remain — it is not given to any of the participants.\n\nFor example, if $n = 5$ and $k = 3$, then each participant will recieve an $1$ rating unit, and also $2$ rating units will remain unused. If $n = 5$, and $k = 6$, then none of the participants will increase their rating.\n\nVasya participates in this rating draw but does not have information on the total number of participants in this event. Therefore, he wants to know what different values of the rating increment are possible to get as a result of this draw and asks you for help.\n\nFor example, if $n=5$, then the answer is equal to the sequence $0, 1, 2, 5$. Each of the sequence values (and only them) can be obtained as $\\lfloor n/k \\rfloor$ for some positive integer $k$ (where $\\lfloor x \\rfloor$ is the value of $x$ rounded down): $0 = \\lfloor 5/7 \\rfloor$, $1 = \\lfloor 5/5 \\rfloor$, $2 = \\lfloor 5/2 \\rfloor$, $5 = \\lfloor 5/1 \\rfloor$.\n\nWrite a program that, for a given $n$, finds a sequence of all possible rating increments.\n\n\n-----Input-----\n\nThe first line contains integer number $t$ ($1 \\le t \\le 10$) — the number of test cases in the input. Then $t$ test cases follow.\n\nEach line contains an integer $n$ ($1 \\le n \\le 10^9$) — the total number of the rating units being drawn.\n\n\n-----Output-----\n\nOutput the answers for each of $t$ test cases. Each answer should be contained in two lines.\n\nIn the first line print a single integer $m$ — the number of different rating increment values that Vasya can get.\n\nIn the following line print $m$ integers in ascending order — the values of possible rating increments.\n\n\n-----Example-----\nInput\n4\n5\n11\n1\n3\n\nOutput\n4\n0 1 2 5 \n6\n0 1 2 3 5 11 \n2\n0 1 \n3\n0 1 3",
        "solutions": "[\"tst = int(input())\\nfor i in range(0, tst):\\n    n = int(input())\\n    ans = 1\\n    l = 1\\n    p = []\\n    while l <= n:\\n        ans += 1\\n        l = n // (n // l)\\n        p.append(n // l)\\n        l += 1\\n    p.append(0)\\n    p.reverse()\\n    print(len(p))\\n    print(\\\" \\\".join(str(x) for x in p))\", \"t = int(input())\\n\\nfor _ in range(t):\\n    n = int(input())\\n\\n    l = [n]\\n    test = 2\\n    while n//test != l[-1]:\\n        l.append(n//test)\\n        test += 1\\n\\n    while l[-1] != 0:\\n        l.append(l[-1] - 1)\\n        \\n    print(len(l))\\n    print(' '.join(map(str,l[::-1])))\\n\", \"for _ in range(int(input())):\\n    n = int(input())\\n    d = 1\\n    res = [0]\\n    while d <= n:\\n        e = n // d\\n        res.append(e)\\n        d = (n // e) + 1\\n    print(len(res))\\n    print(*sorted(res))\", \"t = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    set_ = set()\\n    for i in range(1, int(n**0.5)+10):\\n        set_.add(n // i)\\n    li = sorted(list(set_))\\n    num = li[0]\\n    li2 = [i for i in range(num)]\\n    print(len(li2) + len(li))\\n    print(*li2 + li)\", \"t=int(input())\\nfor _ in range(t):\\n    n=int(input())\\n    aa=[]\\n    ind=1\\n    while True:\\n        aa.append(n//ind)\\n        if len(aa)>=2:\\n            if aa[-1]==aa[-2]:\\n                for i in range(aa[-1],-1,-1):\\n                    aa.append(i)\\n                break\\n        ind+=1\\n    print(len(set(aa)))\\n    print(*sorted(list(set(aa))))\\n    \\n\", \"import sys\\ninput = sys.stdin.readline\\n\\nt=int(input())\\nfor testcases in range(t):\\n    n=int(input())\\n\\n    ANS=[n//1]\\n\\n    for i in range(2,n):\\n        ANS.append(n//i)\\n\\n        if n/(i-1)-n/i<1:\\n            break\\n\\n    A=list(range(0,ANS[-1]))+sorted(set(ANS))\\n\\n    print(len(A))\\n    print(*A)\\n\", \"def kek(n):\\n\\tl = [0]\\n\\tl2 = []\\n\\ti = 1\\n\\twhile i * i < n:\\n\\t\\tl.append(i)\\n\\t\\tif n // i != i:\\n\\t\\t\\tl2.append(n // i)\\n\\t\\ti += 1\\n\\tif i * i == n:\\n\\t\\tl.append(i)\\n\\tl2.reverse()\\n\\tl += l2\\n\\treturn l\\n\\ndef main():\\n\\tfor _ in range(int(input())):\\n\\t\\tn = int(input())\\n\\t\\tl = kek(n)\\n\\t\\tprint(len(l))\\n\\t\\tfor i in l:\\n\\t\\t\\tprint(i, end=' ')\\n\\t\\tprint()\\nmain()\", \"for _ in range(int(input())):\\n\\tn=int(input())\\n\\tif n<=1000005:\\n\\t\\tl=[0,1]\\n\\t\\tfor k in range(n-1,0,-1):\\n\\t\\t\\ta=n//k\\n\\t\\t\\tif a>l[-1]:\\n\\t\\t\\t\\tl.append(a)\\n\\t\\tprint(len(l))\\n\\t\\tprint(*l)\\n\\telse:\\n\\t\\tl=[x for x in range(1001)]\\n\\t\\tfor k in range(1000000,0,-1):\\n\\t\\t\\ta=n//k\\n\\t\\t\\tif a>l[-1]:\\n\\t\\t\\t\\tl.append(a)\\n\\t\\tprint(len(l))\\n\\t\\tprint(*l)\", \"q = int(input())\\nfor ifwfwe in range(q):\\n\\tn = int(input())\\n\\ti = 1\\n\\todp = [0]\\n\\twhile i*i <= n:\\n\\t\\todp.append(i)\\n\\t\\ti += 1\\n\\twhile i > 0:\\n\\t\\tif n // i > odp[-1]:\\n\\t\\t\\todp.append(n//i)\\n\\t\\ti -= 1\\n\\tprint(len(odp))\\n\\tprint(*odp)\", \"def solve():\\n    n = int(input())\\n    s = set()\\n    s.add(0)\\n    for i in range(1, int(n**0.5)+1):\\n        k = n//i\\n        s.add(k)\\n        s.add(i)\\n    ans = sorted(s)\\n    print(len(ans))\\n    print(*ans)\\n\\nt = int(input())\\nfor i in range(t):\\n    solve()\", \"#603_C\\n\\nt = int(input())\\n\\nfor i in range(0, t):\\n    n = int(input())\\n    ln = [0]\\n    oned = False\\n    sqt = n // int(n ** 0.5)\\n    on = -1\\n    for j in range(1, max(2, int(n ** 0.5) + 1)):\\n        if n // j != on:\\n            ln.append(n // j)\\n            if n // j == 1:\\n                oned = True\\n        on = n // j\\n    for j in range(len(ln) - 1, 0, -1):\\n        if n // ln[j] == sqt:\\n            continue\\n        ln.append(n // ln[j])\\n        if n // ln[j] == 1:\\n            oned = True\\n    if not oned:\\n        ln.append(1)\\n    print(len(ln))\\n    print(\\\" \\\".join([str(j) for j in sorted(ln)]))\\n\", \"import sys\\ndef I():\\n        return sys.stdin.readline().rstrip()\\n\\nfor _ in range( int(I()) ):\\n    n = int(I())\\n    a = [ 0, 1 ]\\n    i = n\\n    while i > 0:\\n        if n // i > a[ -1 ]:\\n            a.append( n // i )\\n        i = n // ( a[ -1 ] + 1 )\\n    print( len( a ) )\\n    print( *a )\\n\", \"import math\\nt = int(input())\\nfor i in range (t):\\n    n = int(input())\\n    m = math.floor(math.sqrt(n))\\n    ans = [j for j in range (m + 1)]\\n    left = m\\n    while m > 0:\\n        k = n//m\\n        if left == k:\\n            m -= 1\\n            continue\\n        ans.append(k)\\n        left = k\\n        m -= 1\\n    print(len(ans))\\n    print(*ans, sep = \\\" \\\")\", \"t = int(input())\\n\\nfor _ in range(t):\\n\\tn = int(input())\\n\\ts = set.union({0}, *({i, n//i} for i in range(1, int(n**.5)+1)))\\n\\tprint(len(s))\\n\\tfor v in sorted(s):\\n\\t\\tprint(v, end=\\\" \\\")\\n\\tprint()\", \"for _ in range(int(input())):\\n\\tn = int(input())\\n\\n\\tans = {0}\\n\\n\\tfor i in range(1, int(n ** 0.5 + 1)):\\n\\t\\tans.add(n // i)\\n\\t\\tans.add(n // (n // i))\\n\\n\\tprint(len(ans))\\n\\tprint(*sorted(ans))\", \"from math import sqrt\\nt=int(input())\\nfor _ in range(t):\\n\\tn=int(input())\\n\\tans=set()\\n\\tans.add(0)\\n\\troot=int(sqrt(n))\\n\\tfor x in range(1,root+1):\\n\\t\\tans.add(x)\\n\\t\\tans.add(n//x)\\n\\tprint(len(ans))\\n\\tans=sorted(ans)\\n\\tfor x in ans:\\n\\t\\tprint(x,end=' ')\\n\\tprint()\", \"# from fractions import gcd\\n# from datetime import date, timedelta\\n# from heapq import*\\n# import math\\n# from collections import defaultdict, Counter, deque\\n# import sys\\n# from bisect import *\\n# import itertools\\n# import copy\\n# sys.setrecursionlimit(10 ** 7)\\n# MOD = 10 ** 9 + 7\\n\\n\\n\\n\\n\\ndef main():\\n    t = int(input())\\n    for _ in range(t):\\n        n = int(input())\\n        prev = -1\\n        ans = []\\n        for i in range(1,40000):\\n            v = n//i\\n            if v == prev:\\n                break\\n            ans.append(v)\\n            prev = v\\n        for i in range(v-1, -1, -1):\\n            ans.append(i)\\n        print(len(ans))\\n        print(*ans[::-1])\\n\\n\\n\\n\\n\\n    \\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"3\\n\\nimport os\\nimport sys\\n\\n\\ndef main():\\n    T = read_int()\\n    for _ in range(T):\\n        ans = solve(read_int())\\n        print(len(ans))\\n        print(*ans)\\n\\n\\ndef solve(N):\\n    ans = [N]\\n    i = 2\\n    while i * (i - 1) <= N:\\n        v = N // i\\n        if ans[-1] != v:\\n            ans.append(v)\\n        i += 1\\n\\n    v = ans[-1]\\n    for i in range(v - 1, -1, -1):\\n        ans.append(i)\\n    ans.reverse()\\n    return ans\\n\\n\\n###############################################################################\\n\\nDEBUG = 'DEBUG' in os.environ\\n\\n\\ndef inp():\\n    return sys.stdin.readline().rstrip()\\n\\n\\ndef read_int():\\n    return int(inp())\\n\\n\\ndef read_ints():\\n    return [int(e) for e in inp().split()]\\n\\n\\ndef dprint(*value, sep=' ', end='\\\\n'):\\n    if DEBUG:\\n        print(*value, sep=sep, end=end)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"# from sys import stdin\\n# def rl():\\n#     return [int(w) for w in stdin.readline().split()]\\nfrom bisect import bisect_right\\nfrom bisect import bisect_left\\nfrom collections import defaultdict\\nfrom math import sqrt,factorial,gcd,log2,inf,ceil\\n# map(int,input().split())\\n# # l = list(map(int,input().split()))\\n# from itertools import permutations\\nimport sys\\n# input = sys.stdin.readline\\n\\n# t = int(input())\\n#\\n# for _ in range(t):\\n#     a,b,c = map(int,input().split())\\n#     a,b,c = sorted([a,b,c])\\n#     ans = 0\\n#     ans+=b\\n#     c-=b\\n#\\n#     a,c = sorted([a,c])\\n#     ans+=a\\n#     print(ans)\\n\\n\\n# print(ans)\\n\\n\\n\\n\\nt = int(input())\\n\\nfor _ in range(t):\\n\\n    n = int(input())\\n\\n    ans = [1,0]\\n\\n    for i in range(1,int(sqrt(n)+1)):\\n        ans.append(n//i)\\n        ans.append(n//(n//i))\\n\\n    ans = list(set(ans))\\n    print(len(ans))\\n    ans.sort()\\n    print(*ans)\\n\\n\\n\\n\\n\", \"import sys\\n\\n\\n# inf = open('input.txt', 'r')\\n# reader = (int(line.rstrip()) for line in inf)\\nreader = (int(s.rstrip()) for s in sys.stdin)\\n\\ndef rating(n):\\n    m = n\\n    ans = [0, 1]\\n    ndiv = 2\\n    while True:\\n        brick = n // ndiv\\n        if not brick:\\n            break\\n        ndiv = n // brick\\n        ans.append(ndiv)\\n        ndiv += 1\\n    return ans\\n\\nt = next(reader)\\nfor _ in range(t):\\n    n = next(reader)\\n    ans = rating(n)\\n    sys.stdout.write(str(len(ans)) + '\\\\n')\\n    sys.stdout.write(' '.join(map(str, ans)) + '\\\\n')\\n    \\n# inf.close()\\n\", \"import math\\nt = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    divisors = set(n // i for i in range(1, int(math.sqrt(n))+1))\\n    for d in divisors.copy():\\n        divisors.add(n // d)\\n    divisors.add(0)\\n\\n    print(len(divisors))\\n    print(*sorted(divisors))\\n\", \"'''input\\n4\\n5\\n11\\n1\\n3\\n'''\\nfrom sys import stdin, stdout\\n\\n\\nfrom collections import defaultdict, deque\\n\\n# main starts \\nt = int(stdin.readline().strip())\\nfor _ in range(t):\\n\\tn = int(stdin.readline().strip())\\n\\tans = set()\\n\\tfor i in range(1, int(n ** 0.5) + 1):\\n\\t\\tans.add(i)\\n\\t\\tans.add(n//i)\\n\\n\\tans.add(0)\\n\\tans.add(1)\\n\\tans.add(n)\\n\\tans = list(ans)\\n\\tans.sort()\\n\\tprint(len(ans))\\n\\tprint(*ans)\\n\", \"sp = lambda: list(map(int, input().split()))\\nsi = lambda: int(input())\\n\\nTESTCASES = int(input())\\nfor tc in range(TESTCASES):\\n    n=si()\\n    ints = set(range(int(n**0.5)+1))\\n    for i in range(int(n**0.5)+1,0,-1):\\n        ints.add(n//i)\\n    ints=sorted(list(ints))\\n    print(len(ints))\\n    print(\\\" \\\".join(map(str,ints)))\\n\", \"for i in range(int(input())):\\n\\tn = int(input())\\n\\tb = [i for i in range(1, int(n**(1/2) + 1))]\\n\\tr = [str(m) for m in sorted(list(set(b + [n//i for i in b])))]\\n\\tprint(len(r) + 1)\\n\\tprint(0, ' '.join([str(m) for m in sorted(list(set(b + [n//i for i in b])))]))\"]",
        "difficulty": "interview",
        "input": "2\n960\n961\n",
        "output": "61\n0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 32 33 34 35 36 38 40 41 43 45 48 50 53 56 60 64 68 73 80 87 96 106 120 137 160 192 240 320 480 960 \n62\n0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 38 40 41 43 45 48 50 53 56 60 64 68 73 80 87 96 106 120 137 160 192 240 320 480 961 \n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1263/C"
    },
    {
        "id": 252,
        "task_id": 2498,
        "test_case_id": 1,
        "question": "Given are a sequence A= {a_1,a_2,......a_N} of N positive even numbers, and an integer M.\nLet a semi-common multiple of A be a positive integer X that satisfies the following condition for every k (1 \\leq k \\leq N):\n - There exists a non-negative integer p such that X= a_k \\times (p+0.5).\nFind the number of semi-common multiples of A among the integers between 1 and M (inclusive).\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^9\n - 2 \\leq a_i \\leq 10^9\n - a_i is an even number.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 a_2 ... a_N\n\n-----Output-----\nPrint the number of semi-common multiples of A among the integers between 1 and M (inclusive).\n\n-----Sample Input-----\n2 50\n6 10\n\n-----Sample Output-----\n2\n\n - 15 = 6  \\times 2.5 \n - 15 = 10 \\times 1.5 \n - 45 = 6  \\times 7.5 \n - 45 = 10 \\times 4.5 \nThus, 15 and 45 are semi-common multiples of A. There are no other semi-common multiples of A between 1 and 50, so the answer is 2.",
        "solutions": "[\"n, m = map( int, input().split() )\\na = list( map( int, input().split() ) )\\n\\ndef f( a_k ): # 2\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\n    count = 0\\n    while a_k % 2 == 0:\\n        count += 1\\n        a_k = a_k // 2\\n    return count\\n\\nb = []\\nf_0 = f( a[ 0 ] )\\nfor a_k in a:\\n    f_k = f( a_k )\\n    if f_k != f_0:\\n        print( 0 )\\n        return\\n    b.append( a_k // pow( 2, f_k ) )\\n\\nimport math\\ndef lcm( x, y ):\\n    return x * y // math.gcd( x, y )\\n\\nb_lcm = 1\\nfor b_k in b:\\n    b_lcm = lcm( b_lcm, b_k )\\n\\na_lcm = b_lcm * pow( 2, f_0 )\\n# print( b_lcm, f_0, b )\\nprint( ( m + a_lcm // 2 ) // a_lcm )\", \"from functools import reduce\\n\\nN, M = list(map(int, input().split()))\\nAs = list(map(int, input().split()))\\n\\nBs = [A//2 for A in As]\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a%b\\n    return a\\ndef lcm(a, b):\\n    return a // gcd(a, b) * b\\n\\nnums = []\\nfor B in Bs:\\n    num = 0\\n    while B%2 == 0:\\n        B //= 2\\n        num += 1\\n    nums.append(num)\\n\\nif len(set(nums)) != 1:\\n    ans = 0\\nelse:\\n    L = reduce(lcm, Bs)\\n    ans = M//L - M//(2*L)\\n\\nprint(ans)\\n\", \"import math\\n\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\nb = {}\\nfor i in range(n):\\n    count = 0\\n    temp = a[i]\\n    while temp % 2 == 0:\\n        count += 1\\n        temp //= 2\\n    b.setdefault(count, 0)\\n    b[count] += 1\\nif len(b.keys()) >= 2:\\n    ans = 0\\nelse:\\n    temp = 1\\n    for i in range(n):\\n        temp = temp * a[i] // math.gcd(temp, a[i])\\n    temp2 = temp // 2\\n    ans = m // temp2 - m // temp\\nprint(ans)\", \"import numpy as np\\nimport sys\\n\\ndef main():\\n    N,M=list(map(int,input().split()))\\n    A=list(map(int,input().split()))\\n    A_double=list([x//2 for x in A])\\n\\n    mini_multi=int(np.lcm.reduce(A_double))\\n\\n    res=M//mini_multi\\n    \\n    for i in A_double:\\n        if (mini_multi//i)%2==0:\\n            print((0))\\n            return\\n\\n    if res%2!=0:\\n        res+=1\\n\\n\\n    print((res//2))\\n\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"# ABC150D\\n\\nimport sys\\ninput=sys.stdin.readline\\nfrom math import gcd,ceil\\n\\ndef main():\\n    N,M=list(map(int,input().split()))\\n    A=list([int(x)//2 for x in input().split()])\\n    lcm=A[0]\\n    for i in range(1,N):\\n        lcm=lcm*A[i]//gcd(lcm,A[i])\\n    allo=1\\n    for i in range(N):\\n        allo&=(lcm//A[i])%2\\n    if allo:\\n        print((ceil(int(M//lcm)/2)))\\n    else:\\n        print((0))\\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nfrom math import gcd\\nfrom copy import deepcopy\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef lcm(a, b):\\n    return a * b // gcd(a, b)\\n\\n\\ndef resolve():\\n    n, m = list(map(int, input().split()))\\n    A = list(map(int, input().split()))\\n\\n    A_ = deepcopy(A)\\n    cnt = [0] * n\\n    for i in range(n):\\n        while A_[i] % 2 == 0:\\n            A_[i] //= 2\\n            cnt[i] += 1\\n        if i != 0 and cnt[i] != cnt[i - 1]:\\n            print((0))\\n            return\\n\\n    L = 1\\n    for a in A:\\n        L = lcm(L, a // 2)\\n\\n    res = m // L - (m // (L * 2))\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from math import gcd\\ndef lcm(a,b):return (a*b)//(gcd(a,b))\\n\\ndef f(x):\\n    cnt=0\\n    while(x%2==0):\\n        cnt+=1\\n        x=x//2\\n    return cnt\\n\\nn,m=map(int,input().split())\\na=list(map(int,input().split()))\\na=list(map(lambda x: x//2,a))\\n\\nt=f(a[0])\\nfor i in range(n):\\n    if(f(a[i])!=t):\\n        print(0)\\n        return\\n    a[i]=a[i]//(2**t)\\nm=m//(2**t)\\nl=1\\nfor i in range(n):\\n    l=lcm(l,a[i])\\n    if(l>m):\\n        print(0)\\n        return\\nm=m//l\\nprint((m+1)//2)\", \"import math\\n\\nn,m=list(map(int,input().split()))\\na=list(map(int,input().split()))\\n\\nif n==1:\\n  a1=a[0]//2\\n  ans_m=m//a1\\n  if ans_m==0:\\n    print((0))\\n  else:\\n    print(((ans_m-1)//2+1))\\n  \\nelse:\\n  x=a[0]\\n  ch=0\\n  ch1=0\\n  while x%2==0:\\n    x=x//2\\n    ch+=1\\n  dob=2**ch\\n  for i in a:\\n    if i%dob==0 and i%(dob*2)!=0:\\n      ch1+=1\\n  if ch1!=n:\\n    print((0))\\n  else:\\n    ans=a[0]//2\\n    for j in range(1,n):\\n      ans=(ans*(a[j]//2))//math.gcd(ans,a[j]//2)\\n    ans_m=m//ans\\n    if ans_m==0:\\n      print((0))\\n    else:\\n      print(((ans_m-1)//2+1))\\n    \\n      \\n\", \"from math import gcd, ceil\\nN,M = map(int,input().split())\\nA = list(map(int,input().split()))\\nA = [a//2 for a in A]\\nB = 1\\n\\nfor a in A:\\n  B*=a//gcd(B,a)\\n  \\nfor a in A:\\n  if B//a%2==0:\\n    print(0)\\n    return\\n\\nprint(ceil((M//B)/2))\", \"def solve():\\n    import math\\n    N,M = [int(i) for i in input().split()]\\n    A = list(map(int, input().split()))\\n\\n    lcm = A[0]\\n    for i in range(1, N):\\n        lcm = lcm * A[i] // math.gcd(lcm, A[i])\\n    first = lcm // 2\\n\\n    ans_exists = True\\n    for i in range(N):\\n        if first % A[i] == 0:\\n            ans_exists = False\\n\\n    if ans_exists:\\n        ans = int((M-first) // lcm + 1)\\n        print(ans)\\n    else:\\n        print('0')\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Wed Sep  9 14:33:00 2020\\n\\n@author: liang\\n\\\"\\\"\\\"\\nfrom math import gcd\\n\\nN, M = map(int, input().split())\\nA = [int(i) for i in input().split()]\\n\\nflag = False\\nres = 1\\nfor a in A:\\n    a //= 2\\n    res *= a//gcd(res,a)\\n    if res > M:\\n        flag = True\\n        break\\n    #print(res)\\n\\\"\\\"\\\"\\n\\u5b58\\u5728\\u30c1\\u30a7\\u30c3\\u30af\\n\\uff12\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u500b\\u6570\\u540c\\u3058\\uff1f\\n\\\"\\\"\\\"\\n\\nfor a in A:\\n    if int(res/a) == res/a:\\n        flag = True\\n        \\nif flag:\\n    ans = 0\\n    print(ans)\\nelse:\\n    #ans = (M - res(A)//2)//res + 1\\n    #ans = (M-1)//res//2 + 1\\n    ans= (M//res + 1)//2\\n    print(ans)\", \"import math\\n\\nN, M = map(int,input().split())\\nA = list(map(int,input().split()))\\n\\npow2 = 0\\nwhile A[0] % 2 == 0:\\n    A[0] //= 2\\n    pow2 += 1\\n\\nfor i in range(1,N):\\n    cnt = 0\\n    while A[i] % 2 == 0:\\n        A[i] //= 2\\n        cnt += 1\\n    if cnt != pow2:\\n        print(0)\\n        return\\n\\nLCM = 2**max(0,pow2-1)\\nfor i in range(N):\\n    LCM = LCM * A[i] // math.gcd(LCM,A[i])\\n\\nans = M // LCM\\nprint((ans+1)//2)\", \"from math import gcd\\nfrom functools import reduce\\nimport sys\\ninput = sys.stdin.readline\\n\\n\\ndef lcm(a, b):\\n    return a*b // gcd(a, b)\\n\\n\\ndef count_factor_2(num):\\n    count = 0\\n    while num % 2 == 0:\\n        num //= 2\\n        count += 1\\n    return count\\n\\n\\ndef main():\\n    n, m = list(map(int, input().split()))\\n    A = list([x//2 for x in set(map(int, input().split()))])\\n\\n    check = len(set(map(count_factor_2, A)))\\n    if check != 1:\\n        print((0))\\n        return\\n\\n    lcm_a = reduce(lcm, A)\\n    step = lcm_a * 2\\n    ans = (m + lcm_a) // step\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nA = list(map(lambda x: int(x)//2, input().split()))\\n\\nimport math\\n\\ndef lcm(x, y):\\n  return (x // math.gcd(x, y)) * y\\n\\ndef pow2(x):\\n  ret = 0\\n  while x%2 == 0:\\n    ret += 1\\n    x //= 2\\n  return ret\\n\\nP = []\\nfor a in A:\\n  P.append(pow2(a))\\n\\nif len(set(P)) != 1:\\n  print(0)\\nelse:\\n  m = 1\\n  for a in A:\\n    m = lcm(m, a)\\n  print(-(-(M//m)//2))\", \"def GCM(x, y):\\n  if x%y==0:\\n    return y\\n  else:\\n    return GCM(y, x%y)\\n\\nN, M = map(int, input().split())\\n\\nA = list(map(int, input().split()))\\n\\ncount2 = [0 for i in range(N)]\\nfor i in range(N):\\n  a = A[i]\\n  while a%2==0:\\n    count2[i] += 1\\n    a = a//2\\n  A[i] = a\\nif sum(count2) == count2[0]*N:\\n  count2 = count2[0]\\n  buf = 1\\n  for i in range(N):\\n    buf = A[i]*buf//GCM(buf, A[i])\\n  buf *= 2**(count2-1)\\n  #print(buf)\\n  n = M//buf\\n  print((n+1)//2)\\n  \\nelse:\\n  print(0)\", \"import fractions\\nimport math\\nfrom functools import reduce\\n\\ndef lcm_base(x, y):\\n    return (x * y) // fractions.gcd(x, y)\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nn,m=map(int,input().split())\\na=list(map(int,input().split()))\\nb=lcm_list(map(lambda x: x//2, a))\\nswt=0\\n\\nfor i in range(n):\\n  if 0==(b//(a[i]//2))%2:\\n    swt=1\\n    break\\n\\nif 0==swt:\\n  print(math.ceil((m//b)/2))\\nelse:\\n  print(0)\", \"import math\\nimport numpy as np\\nN,M=map(int,input().split())\\nA=list(map(int,input().split()))\\nc=1\\ntest=A[0]\\nl=0\\n\\nwhile test%2 == 0:\\n  test=test//2\\n  c*=2\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n  \\nfor i in np.arange(N-1):\\n  if A[i+1]%c!=0:\\n    print(0)\\n    l=1\\n    break\\n  elif A[i+1]%(c*2)==0:\\n    print(0)\\n    l=1\\n    break\\n  else:\\n    k=A[i+1]//c\\n    test=lcm_base(test, k)\\nif l==0:\\n  k=test*c//2\\n  print(M//k//2 + M//k%2)\", \"from math import gcd\\n\\nN, M = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\nmemo = {}\\n\\ndef lcm(a,b):\\n    return a//gcd(a,b)*b\\n\\nb = 1\\n\\nfor a in A:\\n    b = lcm(a//2, b)\\n    if b > M:\\n        break\\n\\nif any([2 * b // a % 2 == 0 for a in A]):\\n    print(0)\\nelse:\\n    ans = M // b\\n    print(ans - ans // 2)\", \"import copy\\n# from math import gcd\\n\\n\\ndef gcd(a, b):\\n    if b == 0:\\n        return a\\n    else:\\n        return gcd(b, a%b)\\n\\ndef lcm(a, b):\\n    return (a // gcd(a, b)) * b\\ndef main():\\n    n, m = map(int, input().split())\\n    A = set([int(x) for x in input().split()])\\n    a_lcm = 1\\n    for a in A:\\n        a_lcm = lcm(a_lcm, a)\\n        # m\\u304clcm\\u306e\\u534a\\u5206\\u3088\\u308a\\u3082\\u5c0f\\u3055\\u304b\\u3063\\u305f\\u30890\\n        if (a_lcm / 2) > m:\\n            print(0)\\n            return\\n    for a in A:\\n        if (a_lcm / 2) % a == 0:\\n            print(0)\\n            return\\n    # # \\u3042\\u3068\\u306f\\u5b9a\\u6570\\u500d\\u306e\\u6570\\u8abf\\u3079\\u3066\\u7d42\\u308f\\u308a\\n    ans = int((m - (a_lcm / 2)) // a_lcm) + 1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"from math import gcd\\ndef lcm(a,b):\\n    return a//gcd(a,b)*b\\ndef lcm(ab):\\n    l=len(ab)\\n    ret=ab[0]\\n    for i in range(1,l):\\n        ret=ret//gcd(ab[i],ret)*ab[i]\\n    return ret\\ndef count2(a):\\n    ret=0\\n    while a%2==0:\\n        a//=2\\n        ret+=1\\n    return 2**ret\\nn,m=map(int,input().split())\\nA=list(map(int,input().split()))\\n#\\u3053\\u308c\\u306f\\u3044\\u3089\\u306a\\u3044\\u3067\\u3059\\nif any(i%2 for i in A):\\n    print(0);return\\nA=[i//2 for i in A]\\n#\\u5168\\u4f53\\u306e\\u6700\\u5c0f\\u516c\\u500d\\u6570\\np=lcm(A)\\nc=count2(p)\\n#2\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\u304c\\u540c\\u3058\\u3067\\u306a\\u3044\\u3082\\u306e\\u304c\\u3042\\u308b\\u5834\\u5408\\nif any(i%c for i in A):\\n    print(0);return\\nx=m//p\\n#print(p//c)\\nprint(-(-x//2))\", \"from math import gcd\\n\\nn, m = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\nA = [a//2 for a in  A]\\nlcm = 1\\n\\nfor i in range(n):\\n    lcm = lcm * A[i] // gcd(lcm, A[i])\\n    if lcm > m:\\n        print((0))\\n        return\\n        \\nfor a in A:\\n    if lcm // a % 2 == 0:\\n        print((0))\\n        return\\n\\nprint(((m//lcm + 1) // 2))\\n\", \"from fractions import gcd\\n\\ndef lcm_base(x, y):\\n    return (x * y) // gcd(x, y)\\ndef lcm(numbers):\\n    x = numbers[0]\\n    for y in numbers:\\n        x = lcm_base(x, y)\\n    return x\\n\\nN, M = list(map(int, input().split()))\\naaa = list(map(int, input().split()))\\na = aaa[0]\\ncnt = 0\\nwhile a % 2 == 0:\\n    cnt += 1\\n    a //= 2\\nfor a in aaa:\\n    if a % 2 ** cnt != 0 or a % 2 ** (cnt + 1) == 0:\\n        print((0))\\n        return        \\nbbb = [a // 2 for a in aaa]\\nlc = lcm(bbb)\\nq, r = divmod(M // lc , 2)\\nprint((q + r))\\n\", \"N, M = map(int, input().split())\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print(0)\\n    return\\nans = 0\\n\\nfor odd in [3, 5, 7, 11]:\\n  flag = False\\n  for k in range(N):\\n    if a[k]%odd == 0:\\n      a[k] //= odd\\n      flag = True\\n  if flag:\\n    foo *= odd\\n \\n \\nimport math\\n\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // math.gcd(lcm, b)\\n  if lcm* foo > M:\\n    print(0)\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\", \"import math\\nfrom functools import reduce\\nn, m = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\na0 = A[0]\\ncnt = 0\\nwhile a0%2 == 0:\\n    a0 //= 2\\n    cnt += 1\\n\\na = []\\nfor aa in A:\\n    if cnt == 1:\\n        if aa%4 == 0:\\n            print(0)\\n            return\\n    else:\\n        if aa%(2**(cnt-1)) != 0 or aa%(2**cnt) != 0 or aa%(2**(cnt+1)) == 0:\\n            print(0)\\n            return\\n    a.append(aa//2)\\n\\n\\ndef lcm_base(p, q):\\n    return (p * q) // math.gcd(p, q)\\n\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\n\\nlcm = lcm_list(a)\\nprint(m//lcm - m//(lcm*2))\", \"def main():\\n    import math\\n    n,m = list(map(int,input().split()))\\n    a = sorted(list(map(int,input().split())))\\n    for i in range(n):\\n        a[i] //= 2\\n    g=1\\n    for i in range(n):\\n        g = a[i] * g // math.gcd(g,a[i])\\n    for i in range(n):\\n        if g//a[i] % 2 == 0:\\n            print((0))\\n            return\\n    if g>m:\\n        print((0))\\n        return\\n    print((1 + (m-g)//(2*g)))\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nfrom functools import reduce\\nn, m = input().split()\\na = list(map(int, input().split()))\\nb =[0]*int(n)\\nfor i in range(len(a)):\\n  b[i] = a[i]//2\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\nc = 0\\n\\nx = lcm_list(b)\\nfor i in range(int(n)):\\n  if (x // b[i]) % 2 == 0:\\n    c = -1\\n    break\\n  else:\\n    continue\\n    \\nif c == -1:\\n  print((0))\\nelse:\\n  print((math.floor(((int(m)/x)+1)/2)))\\n\\n\", \"N, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\n\\nfrom fractions import gcd\\ndef two(n):\\n    ans = 0\\n    while n%2==0:\\n        n //= 2\\n        ans += 1\\n    return ans\\n\\ndef multi_lcm(A):\\n    ans = A[0]\\n    for a in A:\\n        ans *= a//gcd(ans,a)\\n    return ans\\n\\ndef solve(N,M,A):\\n    ans = 0\\n    num_two = len(set(map(two,A)))\\n    if num_two != 1:\\n        return 0\\n    l = multi_lcm(A)\\n    ans = (M+l//2)//l\\n    return ans\\nprint((solve(N,M,A)))\\n\", \"from math import gcd\\n\\nN, M = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\nf = lambda n: 0 if n%2 else f(n>>1)+1\\nx = f(A[0])\\n\\nif sum(x!=f(a) for a in A):\\n    print(0)\\n    return\\n\\nA = [a>>x for a in A]\\n\\ny = 1\\nfor a in A:\\n    y = y*a//gcd(y, a)\\n    if y<<(x-1) > M:\\n        print(0)\\n        return\\n\\nprint((M//(y<<(x-1))+1)//2)\", \"from math import gcd\\nN, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\nA = [i // 2 for i in A]\\nlcd = 1\\nfor a in A:\\n    lcd *= a // gcd(lcd, a)\\nfor a in A:\\n    if lcd // a % 2 == 0:\\n        print((0))\\n        return\\nprint(((M//lcd+1)//2))\\n\", \"N, M = list(map(int, input().split()))\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print((0))\\n    return\\nans = 0\\n\\nfor odd in [3, 5, 7, 11]:\\n  flag = False\\n  for k in range(N):\\n    if a[k]%odd == 0:\\n      a[k] //= odd\\n      flag = True\\n  if flag:\\n    foo *= odd\\n \\n \\ndef euclid(a, b):\\n  while b:\\n    a, b = b, a%b\\n  return a\\n\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // euclid(lcm, b)\\n  if lcm* foo > M:\\n    print((0))\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\\n\\n\", \"N, M = map(int, input().split())\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print(0)\\n    return\\nans = 0\\n\\nimport math\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // math.gcd(lcm, b)\\n  if lcm* foo > M:\\n    print(0)\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\", \"from math import gcd\\ndef readinput():\\n    n,m=list(map(int,input().split()))\\n    a=list(map(int,input().split()))\\n    return n,m,a\\n\\ndef lcm(a,b):\\n    return a*b//gcd(a,b)\\n\\ndef main(n,m,a):\\n    #s=set(a)\\n    #print(s)\\n    x=a[0]//2\\n    for i in range(1,n):\\n        x=lcm(x,a[i]//2)\\n    #print(x)\\n    gusubai=False\\n    kisubai=False\\n    for i in range(n):\\n        if x%a[i]!=0:\\n            gusubai=True\\n        else:\\n            kisubai=True\\n    \\n    y=m//x\\n    #print(y,x,m)\\n    if gusubai and not kisubai:\\n        ans=y//2+y%2\\n    elif gusubai and kisubai:\\n        ans=0\\n    else:\\n        ans=y\\n    return ans\\n\\ndef __starting_point():\\n    n,m,a=readinput()\\n    ans=main(n,m,a)\\n    print(ans)\\n\\n__starting_point()\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    N, M = MI()\\n    L = LI()\\n    L = [i//2 for i in L]\\n    \\n    past = L[0]\\n\\n    for i in L:\\n        past = (past // math.gcd(i, past)) * i\\n        if past > M or (past // i) % 2 == 0:\\n            print(0)\\n            return\\n    \\n    temp = M // past\\n    ans = (temp+1)//2\\n    print(ans)        \\n    \\n\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"from fractions import gcd\\nN, M = list(map(int, input().split()))\\nA = list(map(lambda x: int(x),input().split()))\\n\\ncnt = [0 for _ in range(N)]\\nfor i in range(N):\\n  a = A[i]\\n  while a%2 == 0:\\n    a = a // 2\\n    cnt[i] += 1\\n\\nif max(cnt) > min(cnt):\\n  print(0)\\n  return\\nC = max(cnt)\\n\\nA = list(map(lambda x: x // pow(2,C), A))\\ndef gcd(a,b):\\n  if a<b:\\n    a,b = b,a\\n  while a%b > 0:\\n    a,b = b,a%b\\n  return b\\n\\ndef lcm(a,b):\\n  return a*b//gcd(a,b)\\n\\nx = A[0]\\nfor a in A[1:]:\\n  x = lcm(x,a)\\nx = x * pow(2,C-1)\\n\\nprint((M // x + 1) // 2)\", \"from math import gcd\\nfrom functools import reduce\\n\\nn,m=map(int,input().split())\\nlst=list(map(lambda x : int(x)//2,input().split()))\\ndivi=0\\nx=lst[0]\\nwhile x%2==0:\\n    x//=2\\n    divi+=1\\n\\nfor i in range(1,n):\\n    divi2=0\\n    x=lst[i]\\n    while x%2==0:\\n        x//=2\\n        divi2+=1\\n    if divi!=divi2 :\\n        print(0)\\n        return\\n\\nwork=reduce(lambda x,y: x*y//gcd(x,y),lst)\\nprint((m//work+1)//2)\", \"n, m = map(int, input().split())\\naas = set(list(map(int, input().split())))\\na = [i//2 for i in aas]\\nimport math\\nN = len(a)\\ndef n_of_twos(x):\\n    res = 0\\n    while x%(2**(res+1))==0:\\n        res += 1\\n    return res\\nif N>=2:\\n    n_of_twos_0 = n_of_twos(a[0])\\n    for i in range(1,N):\\n        if n_of_twos(a[i]) != n_of_twos_0:\\n            print(0)\\n            return\\nans = a[0]\\nfor i in range(1, N):\\n    ans = ans * a[i] // math.gcd(ans, a[i])\\nif ans > m:\\n    print(0)\\n    return\\nprint(1 + (m//ans-1)//2)\", \"from math import gcd, ceil\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\na = [i // 2 for i in a]\\nl = 1\\nfor i in a:\\n    l *= i // gcd(l, i)\\nfor i in a:\\n    if l // i % 2 == 0:\\n        print(0)\\n        return\\nprint(ceil((m // l) / 2))\", \"import queue\\nimport numpy as np\\nimport math\\n\\nN, M = map(int, input().split())\\na2 = list(map(int, input().split()))\\na = []\\nfor i in a2:\\n    a.append(i//2)\\n\\nlcm = a[0]\\n\\nfor i in a:\\n    lcm *= i // math.gcd(lcm, i)\\n\\nhasAns = True\\nfor i in a:\\n    if (lcm // i) % 2 == 0:\\n        hasAns = False\\n        break\\n\\nans = 0\\n\\nif hasAns:\\n    ans = ((M // lcm) + 1 )// 2\\n\\nprint(ans)\", \"from math import gcd\\nn,m=map(int,input().split())\\na=list(map(int,input().split()))\\na=list(set(a))\\na=list(map(lambda x: x//2, a))\\n\\ndef lcm(q):\\n  x = q[0]\\n  for i in range(1, len(q)):\\n    x = (x * q[i]) // gcd(x, q[i])\\n  return x\\n\\nlcma=lcm(a)\\nfor i in range(len(a)):\\n  if (lcma//a[i])%2==0:\\n    print(0)\\n    return\\ntemp=m//lcma\\nprint(-(-temp//2))\", \"import sys\\nimport math\\n# import bisect\\n# import numpy as np\\n# from decimal import Decimal\\n# from numba import njit, i8, u1, b1 #JIT compiler\\n# from itertools import combinations, product\\n# from collections import Counter, deque, defaultdict\\n\\n# sys.setrecursionlimit(10 ** 6)\\nMOD = 10 ** 9 + 7\\nINF = 10 ** 9\\nPI = 3.14159265358979323846\\n\\ndef read_str():      return sys.stdin.readline().strip()\\ndef read_int():      return int(sys.stdin.readline().strip())\\ndef read_ints():     return map(int, sys.stdin.readline().strip().split())\\ndef read_ints2(x):   return map(lambda num: int(num) - x, sys.stdin.readline().strip().split())\\ndef read_str_list(): return list(sys.stdin.readline().strip().split())\\ndef read_int_list(): return list(map(int, sys.stdin.readline().strip().split()))\\ndef GCD(a: int, b: int) -> int: return b if a%b==0 else GCD(b, a%b)\\ndef LCM(a: int, b: int) -> int: return (a * b) // GCD(a, b)\\n\\ndef Main():\\n    n, m = read_ints()\\n    a = read_int_list()\\n    a = [x // 2 for x in a]\\n    lcm = 1\\n    for x in a:\\n        lcm *= x // math.gcd(lcm, x)\\n    for x in a:\\n        if lcm // x % 2 == 0:\\n            print(0)\\n            return\\n    print(math.ceil((m // lcm) / 2))\\n\\ndef __starting_point():\\n    Main()\\n__starting_point()\", \"import sys\\ninput=sys.stdin.readline\\nimport math\\n\\nN,M=(int(x) for x in input().rstrip('\\\\n').split())\\nAs=[int(x) for x in input().rstrip('\\\\n').split()]\\nn = 1\\nuse2 = 0\\ncheck = 0\\nfor i in range(N):\\n  x = As[i]\\n  if i==0:\\n    while x % 2==0:\\n      use2+=1 \\n      x = x//2\\n    lcm=x\\n  else:\\n    use=0\\n    while x%2==0:\\n      x = x//2\\n      use += 1\\n    if use2 != use:\\n      check += 1\\n      break\\n    lcm=lcm*x//(math.gcd(lcm,x))\\nif check > 0:\\n  print(0)\\nelse:\\n  LCM=2**(use2-1)\\n  LCM=LCM*lcm\\n  print(((M//LCM)+1)//2)\", \"def lcm(a, b):\\n  return a // gcd(a, b) * b\\n\\ndef gcd(a, b):\\n  if(b == 0): return a\\n  else: return gcd(b, a % b)\\n\\ndef cnt(a):\\n  res = 0\\n  while(a and a % 2 == 0):\\n    a //= 2\\n    res += 1\\n  return res\\n\\nn, m = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\nl = 1\\nc = cnt(A[0])\\nfor a in A:\\n  if cnt(a) != c or c == 0:\\n    print(0)\\n    return\\n  else:\\n    l = lcm(l, a // 2)\\nd = m // l\\nprint((d + 1) // 2)\", \"from math import gcd\\nfrom functools import reduce\\n\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\n\\ndef lcm(a, b):\\n    return a*b // gcd(a,b)\\n\\na = [i//2 for i in a]\\n\\nl = reduce(lcm, a)\\n\\nif any((l//i) % 2 == 0 for i in a):\\n    print(0)\\n    return\\n\\nprint(-(-(m//l)//2))\", \"import math\\nn,m= list(map(int,input().split()))\\nal= list(map(int,input().split()))\\ntwos = set()\\nfor c in al:\\n    temp,tempc=0,c\\n    while tempc%2==0:\\n        tempc//=2\\n        temp+=1\\n    twos.add(temp)\\nif len(twos)>1:print((0))\\nelse:\\n    lcmv=al[0]\\n    for i in range(1,n):lcmv = lcmv*al[i] // math.gcd(lcmv,al[i])\\n    print((max(0,1 + (m-lcmv//2)//lcmv)))\\n\", \"from functools import reduce\\n\\ndef main():\\n  N,M=map(int,input().split())\\n  *A,=map(int,input().split())\\n\\n  A = list(set(A))\\n  N = len(A)\\n\\n  B = [A[i]//2 for i in range(N)]\\n\\n  def factorize(n):\\n      out=[]\\n      i = 2\\n      while i==2:\\n          if n%i==0:\\n              out.append(i)\\n              n //= i\\n          else:\\n              i += 1\\n          if n == 1:break\\n          if i > int(n**.5+3):\\n              out.append(n)\\n              break\\n      return out\\n\\n  ord_list=[len(factorize(B[i])) for i in range(N)]\\n\\n  if len(set(ord_list)) != 1:\\n    print(0)\\n    return\\n\\n  def gcd(a,b):\\n    if b == 0: return a\\n    return gcd(b,a%b)\\n\\n  def lcm(a,b):\\n    return a*b//gcd(a,b)\\n\\n  LCM = reduce(lcm,B)\\n  print((M//LCM+1)//2)\\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"from math import gcd\\ndef lcm(a, b):\\n    return a * b // gcd(a, b)\\n\\ndef lcm_g(A):\\n    ret = 1\\n    for a in A:\\n        ret = lcm(ret, a)\\n    return ret\\n\\ndef is_hcm(x, A):\\n    for i in range(N):\\n        if x % A[i] != A[i] // 2:\\n            return False\\n    return True\\n\\nN, M = [int(x) for x in input().split()]\\nA = [int(x) for x in input().split()]\\n\\nl = lcm_g(A)\\nif is_hcm(l // 2, A):\\n    ans = (2 * M + l) // (2 * l)\\nelse:\\n    ans = 0\\n\\nprint(ans)\", \"import math\\nimport fractions\\nfrom functools import reduce\\n \\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\na=[t//2 for t in a] # \\u30ea\\u30b9\\u30c8\\u306e\\u8981\\u7d20\\u3092\\u5168\\u30662\\u3067\\u5272\\u308b\\n \\ndef lcm_base(x, y):\\n    return (x * y) // fractions.gcd(x, y)\\n \\ndef lcm_list(numbers): # \\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3092\\u6c42\\u3081\\u308b\\n    return reduce(lcm_base, numbers, 1)\\n \\ndef num_dev2(x): # 2\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n    return format(x, 'b')[::-1].find('1')\\n \\nlcm = lcm_list(a)\\nq = m // lcm # m\\u306f\\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3067\\u4f55\\u56de\\u5272\\u308c\\u308b\\u304b\\n \\ncount = 0\\ndev2 = num_dev2(a[0])\\nfor i in range(1, n):\\n    if dev2 != num_dev2(a[i]): # \\u30ea\\u30b9\\u30c8\\u306e\\u5168\\u3066\\u306e\\u8981\\u7d20\\u306e\\u30012\\u3067\\u5272\\u308c\\u308b\\u56de\\u6570\\u306f\\u7b49\\u3057\\u3044\\u304b\\uff1f\\n        count += 1\\n        break\\nif count != 0:\\n    print(0)\\nelse:\\n    print(math.ceil(q/2))\", \"import sys, re\\nfrom collections import deque, defaultdict, Counter\\nfrom math import ceil, sqrt, hypot, factorial, pi, sin, cos, tan, asin, acos, atan, radians, degrees, log2, gcd\\nfrom itertools import accumulate, permutations, combinations, combinations_with_replacement, product, groupby\\nfrom operator import itemgetter, mul\\nfrom copy import deepcopy\\nfrom string import ascii_lowercase, ascii_uppercase, digits\\nfrom bisect import bisect, bisect_left, insort, insort_left\\nfrom heapq import heappush, heappop\\nfrom functools import reduce, lru_cache\\ndef input(): return sys.stdin.readline().strip()\\ndef INT(): return int(input())\\ndef MAP(): return map(int, input().split())\\ndef LIST(): return list(map(int, input().split()))\\ndef TUPLE(): return tuple(map(int, input().split()))\\ndef ZIP(n): return zip(*(MAP() for _ in range(n)))\\nsys.setrecursionlimit(10 ** 9)\\nINF = 10**6#float('inf')\\n#mod = 10 ** 9 + 7 \\nmod = 998244353\\n#from decimal import *\\n#import numpy as np\\n#decimal.getcontext().prec = 10\\n\\nN, M = MAP()\\na = LIST()\\n\\nA = sorted([x//2 for x in a], reverse=True)\\n\\nb = A[0]\\ncnt = 0\\nwhile b%2 == 0:\\n\\tb //= 2\\n\\tcnt += 1\\n\\nfor x in A:\\n\\tif x%pow(2, cnt) or (x//pow(2, cnt))%2 == 0:\\n\\t\\tprint(0)\\n\\t\\treturn\\n\\nlcm = A[-1]\\nfor x in A:\\n\\tlcm = lcm*x//gcd(lcm, x)\\n\\nr = lcm//A[0]\\nn = M//A[0]\\n\\n#2p+1\\u304c1<=2p+1<=n \\u306e\\u7bc4\\u56f2\\u3067 r\\u306e\\u500d\\u6570\\u3068\\u306a\\u308bp\\u306e\\u500b\\u6570\\nif r%2 == 0:\\n\\tprint(0)\\nelse:\\n\\tprint(n//r - n//(2*r))\", \"from math import gcd, ceil\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\na = [i // 2 for i in a]\\nl = 1\\nfor i in a:\\n    l *= i // gcd(l, i)\\nfor i in a:\\n    if l // i % 2 == 0:\\n        print((0))\\n        return\\nprint((ceil((m // l) / 2)))\\n\", \"from functools import reduce\\nimport math\\ndef lcm_base(x, y):\\n  return (x * y) // math.gcd(x, y)\\n\\ndef lcm(*numbers):\\n  return reduce(lcm_base, numbers, 1)\\n\\ndef lcm_list(numbers):\\n  return reduce(lcm_base, numbers, 1)\\n\\nn,m = map(int, input().split())\\na = list(map(int, input().split()))\\na = [i//2 for i in list(set(a))]\\nnothing = False\\ncnt_common = -1\\nfor i in a:\\n  cnt = 0\\n  while i % 2 == 0:\\n    i = i//2\\n    cnt += 1\\n  if cnt_common == -1:\\n    cnt_common = cnt\\n    continue\\n  if cnt_common != cnt:\\n    nothing = True\\n    break\\n\\nb=lcm_list(a)\\nif nothing:\\n  print(0)\\nelse:\\n  ans = (m-b)//(2*b) + 1\\n  print(max(ans,0))\", \"from fractions import gcd\\ndef lcm(a,b):\\n    return (a*b)//gcd(a,b)\\nn,m = map(int,input().split())\\na = list(map(int,input().split()))\\nans = 1\\nfor i in a:\\n    ans = lcm(ans,i)\\nfor i in a:\\n    if (ans//i) % 2 == 0:\\n        print(0)\\n        return\\nprint(((m//(ans//2))+1)//2)\", \"import math\\nN, M = map(int, input().split())\\nB = tuple(int(a) // 2 for a in input().split())\\n\\nx = B[0]\\nfor i in range(1, N):\\n    x = (x * B[i]) // math.gcd(x, B[i])\\n\\nfor b in B:\\n    if (x // b) % 2 == 0:\\n        print(0)\\n        break\\nelse:\\n    ans = (M // x) - (M // (2 * x))\\n    print(ans)\", \"import math\\nfrom functools import reduce\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\ndef div2_n(x):\\n    n = 0\\n    while x % 2 == 0:\\n      if x % 2 == 0:\\n          n += 1\\n          x >>= 1\\n    return n\\n  \\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\n\\na2 = [i//2 for i in a]\\nn0 = div2_n(a2[0])\\nfor i in range(1,n):\\n    if div2_n(a2[i]) != n0:\\n        print((0))\\n        return\\n\\na2_l = lcm(*a2)\\nprint((m//a2_l - m//(a2_l*2)))\\n\", \"N, M = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\ndef gcd(a,b):\\n    while b > 0:\\n        a, b = b, a % b\\n    return a\\n\\n\\nG = A[0]/2\\nfor a in A[1:]:\\n    G *= (a/2)/gcd(G,a//2)\\nfor a in A:\\n    if G % a == 0:\\n        print(0)\\n        return\\nprint(int(M//G - M//G//2))\", \"n , m = list(map(int, input().split()))\\na = list(map(int,input().split()))\\n\\ndef gcd(num1,num2):\\n    r=1\\n    while r>0:\\n        r=num1%num2\\n        num1=num2\\n        num2=r\\n    return num1\\n\\ndef lcm(num1,num2):\\n    gcd1=gcd(num1,num2)\\n    return num1*num2//gcd1\\n\\nlcm1=a[0]//2\\nlcm2=a[0]\\n\\nfor i in range(1,n):\\n    t=a[i]\\n    lcm1=lcm(lcm1,t//2)\\n    lcm2=lcm(lcm2,t)\\n    ta=max(t//2,lcm1)\\n    tb=min(t//2,lcm1)\\n    if ta!=tb and ta//tb%2==0:\\n        lcm1=0\\n        lcm2=0\\n        break\\n\\nif lcm1!=0:\\n    ans1=m//lcm1\\n    ans2=m//lcm2\\n    ans=ans1-ans2\\nelse:\\n    ans=0\\n\\nprint(ans)\\n\", \"import sys, re\\nfrom collections import deque, defaultdict, Counter\\nfrom math import ceil, sqrt, hypot, factorial, pi, sin, cos, tan, asin, acos, atan, radians, degrees, log2, gcd\\nfrom itertools import accumulate, permutations, combinations, combinations_with_replacement, product, groupby\\nfrom operator import itemgetter, mul\\nfrom copy import deepcopy\\nfrom string import ascii_lowercase, ascii_uppercase, digits\\nfrom bisect import bisect, bisect_left, insort, insort_left\\nfrom heapq import heappush, heappop\\nfrom functools import reduce, lru_cache\\ndef input(): return sys.stdin.readline().strip()\\ndef INT(): return int(input())\\ndef MAP(): return map(int, input().split())\\ndef LIST(): return list(map(int, input().split()))\\ndef TUPLE(): return tuple(map(int, input().split()))\\ndef ZIP(n): return zip(*(MAP() for _ in range(n)))\\nsys.setrecursionlimit(10 ** 9)\\nINF = 10**6#float('inf')\\n#mod = 10 ** 9 + 7 \\nmod = 998244353\\n#from decimal import *\\n#import numpy as np\\n#decimal.getcontext().prec = 10\\n\\nN, M = MAP()\\na = LIST()\\n\\nA = sorted([x//2 for x in a], reverse=True)\\n\\nlcm = A[-1]\\nfor x in A:\\n\\tlcm = lcm*x//gcd(lcm, x)\\n\\nr = lcm//A[0]\\nn = M//A[0]\\n\\n\\nfor x in A:\\n\\tif lcm//x%2 == 0:\\n\\t\\tprint(0)\\n\\t\\treturn\\n#2p+1\\u304c1<=2p+1<=n \\u306e\\u7bc4\\u56f2\\u3067 r\\u306e\\u500d\\u6570\\u3068\\u306a\\u308bp\\u306e\\u500b\\u6570\\nif r%2 == 0:\\n\\tprint(0)\\nelse:\\n\\tprint(n//r - n//(2*r))\", \"import math\\nfrom functools import reduce\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nN,M = map(int,input().split())\\na = list(map(lambda a: int(a)//2, input().split()))\\ng = lcm(*a)\\nif any([g // item % 2 == 0 for item in a]):\\n    print(0)\\nelse:\\n    ans = M//g\\n    ans = max(math.ceil(ans/2),0)   \\n    print(ans)\", \"from math import gcd\\nN, M = list(map(int, input().split()))\\nA = [a//2 for a in map(int, input().split())]\\n\\nlcm = 1\\nfor a in A:\\n    lcm = lcm*a//gcd(lcm, a)\\n    if lcm > M:\\n        print((0))\\n        return\\n\\nfor a in A:\\n    div = lcm//a\\n    if div % 2 == 0:\\n        print((0))\\n        return\\n\\nans = (M//lcm+1)//2\\nprint(ans)\\n\", \"import math\\ndef LCM(a, b):\\n    g = math.gcd(a, b)\\n    return a * b // g\\n\\nN, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\nA = list(set(A))\\nN = len(A)\\na0 = A[0]\\ndiv = 1\\nwhile a0 % 2 == 0:\\n    div *= 2\\n    a0 //= 2\\n\\nfor i in range(1, N):\\n    a = A[i] % div\\n    b = A[i] // div\\n    if (b % 2 == 0) or (a != 0):\\n        print((0))\\n        return\\n\\nfor i in range(N):\\n    A[i] //= 2\\n\\nif N > 1:\\n    lcm = LCM(A[0], A[1])\\n    for i in range(2, N):\\n        lcm = LCM(lcm, A[i])\\n\\nif N == 1:\\n    lcm = A[0]\\n\\nans = M // lcm\\nif ans % 2 == 1:\\n    print((ans // 2 + 1))\\nelse:\\n    print((ans // 2))\\n\", \"import math\\ndef lcm(x,y):\\n    return(x*y)//math.gcd(x,y)\\nn,m=map(int,input().split())\\nl=list(map(int,input().split()))\\na=l[0]//2\\nfor i in range(n-1):\\n    a=lcm(a,l[i+1]//2)\\n \\nok = True\\nfor i in range(n):\\n  if (a//(l[i]//2))%2!=1:\\n    ok=False\\n    break\\nans = 0\\nif ok:\\n    ans = ((m//a)+1)//2\\nprint(ans)\", \"import sys\\nN,M = list(map(int,input().split()))\\nA = list(map(int,input().split()))\\na = []\\nfor i in A:\\n  i = i//2\\n  a.append(i)\\ndef gcd(p,q):\\n  p,q = max(p,q),min(p,q)\\n  while q!=0:\\n    p,q = q,p%q\\n  return p\\ndef lcm(p,q):\\n  return(p*q//gcd(p,q))\\ndef aaa(i):\\n  count = 0\\n  while i%2==0:\\n    i = i//2\\n    count+=1\\n  return count\\nmax_num = a[0]\\naa = aaa(a[0])\\nfor i in a:\\n  max_num = lcm(i,max_num)\\n  if aa != aaa(i):\\n    print((0))\\n    return\\nprint((((M//max_num)+1)//2))\\n\", \"import math\\ndef lcm(a,b):\\n  return (a*b)//math.gcd(a,b)\\ndef co(num):\\n  return format(num, 'b')[::-1].find('1')\\nN,M=map(int,input().split())\\nL=list(map(int,input().split()))\\nL2=[co(i) for i in L]\\nif len(set(L2))!=1:\\n  print(0)\\n  return\\nL=[i//2 for i in L]\\ns=L[0]\\nfor i in range(N):\\n  s=lcm(s,L[i])\\nc=M//s\\nprint((c+1)//2)\", \"import math\\nfrom functools import reduce\\n\\nN,M=list(map(int,input().split()))\\nA=[int(x)//2 for x in input().split()]\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nLCM=lcm(*A)\\nfor a in A:\\n  if LCM//a%2==0:\\n    print((0))\\n    break\\nelse:\\n  print(((M//LCM+1)//2))\\n\", \"import numpy as np\\nfrom math import ceil\\n\\nn,m = map(int,input().split())\\na = list(map(int,input().split()))\\na = [x//2 for x in a]\\nlcm = np.lcm.reduce(a)\\nans = 0\\n\\nfor i in a:\\n    if lcm // i % 2 == 0:\\n        break\\nelse:\\n    ans = ceil((m//lcm)/2)\\n\\nprint(ans)\", \"import math\\n\\ndef n_2(n):\\n  c=0\\n  while n%2==0:\\n    c+=1\\n    n>>=1\\n  return (n,c)\\n\\nN,M=map(int,input().split())\\nA=list(map(int,input().split()))\\nA[0],a=n_2(A[0])\\np=False\\nfor i in range(1,N):\\n  A[i],b=n_2(A[i])\\n  if a!=b:\\n    p=True\\n    break\\nif p:\\n  print(0)\\n  return\\nn=1\\nfor _ in range(a-1):\\n  n*=2\\nl=n\\nfor a in A:\\n  l=l*a//math.gcd(l,a)\\nans=M//l-M//(2*l)\\nprint(ans)\", \"def abc150_d():\\n    n, m = (int(x) for x in input().split())\\n    A = [int(x) // 2 for x in input().split()]\\n\\n    from math import gcd\\n    def lcm(a, b):\\n        return a * b // gcd(a, b)\\n\\n    x = 1\\n    for a in A:\\n        x = lcm(x, a)\\n\\n    valid = True\\n    for a in A:\\n        if (x // a) % 2 == 0:\\n            valid = False\\n            break\\n\\n    if valid: ans = (m // x + 1) // 2\\n    else: ans = 0\\n    print(ans)\\n\\ndef __starting_point():\\n    abc150_d()\\n__starting_point()\", \"from math import gcd\\nn,m=map(int,input().split())\\na=list(map(int,input().split()))\\na=list(set(a))\\na=list(map(lambda x: x//2, a))\\n\\ndef lcm(q):\\n  x = q[0]\\n  for i in range(1, len(q)):\\n    x = (x * q[i]) // gcd(x, q[i])\\n  return x\\n\\nlcma=lcm(a)\\nfor i in range(len(a)):\\n  if (lcma//a[i])%2==0:\\n    print(0)\\n    return\\ntemp=m//lcma\\nprint(temp//2 if temp%2==0 else temp//2+1)\", \"from math import gcd, ceil\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\na = [i // 2 for i in a]\\nl = 1\\nfor i in a:\\n    l *= i // gcd(l, i)\\nfor i in a:\\n    if l // i % 2 == 0:\\n        print(0)\\n        return\\nprint(ceil((m // l) / 2))\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ndef lcm(a, b):\\n    \\\"\\\"\\\"\\u6700\\u5c0f\\u516c\\u500d\\u6570\\\"\\\"\\\"\\n    from math import gcd\\n    return (a * b) // gcd(a, b)\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, M, As):\\n    if sum([a % 2 for a in As]) > 0:\\n        print((0))\\n        return\\n\\n    As = [a // 2 for a in As]\\n    all_lcm = 1\\n    for a in As:\\n        all_lcm = lcm(all_lcm, a)\\n        if all_lcm > M:\\n            print((0))\\n            return\\n\\n    for a in As:\\n        if (all_lcm // a) % 2 == 0:\\n            print((0))\\n            return\\n    from math import ceil\\n    print((ceil(M // all_lcm / 2)))\\n\\n\\ndef __starting_point():\\n    N, M = list(map(int, input().split()))\\n    As = [int(i) for i in input().split()]\\n\\n    # import random\\n    # N, M = 10 ** 5, 10 ** 9\\n    # As = [random.randint(5, 5) * 2 for _ in range(N)]\\n    solve(N, M, As)\\n\\n__starting_point()\", \"import sys,math\\nr=sys.stdin.readline\\ndef gcd(a,b):\\n    a,b=max(a,b),min(a,b)\\n    while b>0:\\n        a,b=b,a%b\\n    return a\\ndef lcm(arr):\\n    while len(arr)!=1:\\n        a=arr.pop()\\n        b=arr.pop()\\n        c=gcd(a,b)\\n        arr.insert(0,int(a*b/c))\\n    return arr[0]\\ndef cnt2(num):\\n    cnt=0\\n    while num%2==0:\\n        num/=2\\n        cnt+=1\\n    return cnt\\nN,M=list(map(int,r().split()))\\nseq=list(map(int,r().split()))\\nseq=list(set(seq))\\ntmp=cnt2(seq[0])\\nfor num in seq:\\n    if tmp!=cnt2(num):\\n        print((0))\\n        return\\nT=lcm(list([x//2 for x in seq]))\\nif T>M:\\n    print((0))\\n    return\\nprint((math.floor(M//T/2+0.5)))\\n\\n\\n\\n\", \"N, M = list(map(int, input().split()))\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print((0))\\n    return\\nans = 0\\n\\nfor odd in [3]:\\n  flag = False\\n  for k in range(N):\\n    if a[k]%odd == 0:\\n      a[k] //= odd\\n      flag = True\\n  if flag:\\n    foo *= odd\\n \\n \\nimport math\\n\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // math.gcd(lcm, b)\\n  if lcm* foo > M:\\n    print((0))\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\\n\\n\", \"from math import gcd\\n\\ndef lcm(a, b):\\n    return a * b // gcd(a, b)\\n\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\nl = [0] * n\\nfor i in range(n):\\n    tmp = a[i]\\n    while tmp % 2 == 0:\\n        tmp //= 2\\n        l[i] += 1\\n    if i > 0 and l[i] != l[i - 1]:\\n        print((0))\\n        return\\nres = 1\\nfor i in range(n):\\n    res = lcm(res, a[i] // 2)\\nprint((m // res - m // (res * 2)))\\n\", \"def main():\\n    N, M = map(int, input().split())\\n    A = tuple(map(int,input().split()))\\n    ans = count(A, N, M)\\n    print(ans)\\ndef count(A, N, M):\\n    t = hMt(A[0])\\n    B = [A[0]//(2**t)]\\n    for val in A[1:]:\\n        if hMt(val) != t:\\n            ans = 0\\n            return ans\\n        B.append(val//(2**t))\\n    T = nlcm(B)\\n    MdivT = (M//(2**(t-1)))//T\\n    ans = countodd(MdivT)\\n    return ans\\ndef countodd(num):\\n    if num%2 == 0:\\n        ans = num//2\\n    else:\\n        ans = num//2 + num%2\\n    return ans\\ndef nlcm(A):\\n    LCM = A[0]\\n    for val in A[1:]:\\n        #print(\\\"%d %d gcm:%d LCM:%d\\\"%(LCM,val,gcm(LCM,val),lcm(LCM,val)))\\n        LCM = lcm(LCM,val)\\n    return LCM\\n    \\ndef gcm(a, b):\\n    abtuple = (a,b)\\n    abmin = min([0,1], key=lambda x:abtuple[x])\\n    remainder = abtuple[1-abmin]%abtuple[abmin]\\n    if remainder == 0:\\n        return abtuple[abmin]\\n    return gcm(abtuple[abmin], remainder)\\ndef lcm(a,b):\\n    prod = a*b\\n    ans = prod//gcm(a,b)\\n    return ans\\ndef hMt(num):\\n    ans = 0\\n    tmp = num\\n    while tmp%2 == 0:\\n        tmp = tmp//2\\n        ans += 1\\n    return ans\\nmain()\", \"N, M = list(map(int, input().split()))\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print((0))\\n    return\\nans = 0\\n\\nfor odd in [3, 5, 7]:\\n  flag = False\\n  for k in range(N):\\n    if a[k]%odd == 0:\\n      a[k] //= odd\\n      flag = True\\n  if flag:\\n    foo *= odd\\n \\n \\nimport math\\n\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // math.gcd(lcm, b)\\n  if lcm* foo > M:\\n    print((0))\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\\n\\n\", \"from math import gcd\\ndef lcm(a,b):\\n    return a//gcd(a,b)*b\\ndef lcm(ab):\\n    l=len(ab)\\n    ret=ab[0]\\n    for i in range(1,l):\\n        ret=ret//gcd(ab[i],ret)*ab[i]\\n    return ret\\ndef count2(a):\\n    ret=0\\n    while a%2==0:\\n        a//=2\\n        ret+=1\\n    return 2**ret\\nn,m=map(int,input().split())\\nA=list(map(int,input().split()))\\nif any(i%2 for i in A):\\n    print(0);return\\nA=[i//2 for i in A]\\n#\\u5168\\u4f53\\u306e\\u6700\\u5c0f\\u516c\\u500d\\u6570\\np=lcm(A)\\nc=count2(p)\\n#2\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\u304c\\u540c\\u3058\\u3067\\u306a\\u3044\\u3082\\u306e\\u304c\\u3042\\u308b\\u5834\\u5408\\n#\\u9055\\u3046\\u3058\\u3083\\u3093\\nif any(i%c for i in A):\\n    print(0);return\\nx=m//p\\n#print(p//c)\\nif x%2==0:\\n    print(x//2)\\nelse:\\n    print(x//2+1)\", \"def gcd(a, b):\\n    if b == 0:\\n        return a\\n    r = a % b   \\n    return gcd(b, r)\\n\\ndef lcm(a, b):\\n    x = gcd(a, b)\\n    return a * b // x\\n\\ndef gcdN(a):\\n    x = a[0]\\n    for i in range(1, len(a)):\\n        x = gcd(x, a[i])\\n    return x\\n\\ndef lcmN(a):\\n    x = a[0]\\n    for i in range(1, len(a)):\\n        x = lcm(x, a[i])\\n    return x\\n\\n\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))  #;print(a)\\n\\ng = gcdN(a)\\nfor i in a:\\n    if (i//g) % 2 == 0:\\n        print((0))\\n        break\\nelse:\\n    l = lcmN(a) \\n    k = 2*m // l\\n    print(((k+1)//2))\\n\", \"from math import gcd, ceil\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\na = [i // 2 for i in a]\\nl = 1\\nfor i in a:\\n    l *= i // gcd(l, i)\\nfor i in a:\\n    if l // i % 2 == 0:\\n        print((0))\\n        return\\n#print(ceil((m // l) / 2))\\nprint(((m//l+1)//2))\\n\", \"n,m=list(map(int,input().split()))\\na=list(map(int,input().split()))\\n\\nfor i in range(n):\\n  a[i]=a[i]//2\\n  \\ndef gcd(a,b):\\n  if b==0:\\n    return a\\n  else:\\n    return gcd(b,a%b)\\n  \\ndef lcm(a,b):\\n  return a*b//gcd(a,b)\\n\\ndef check(x):\\n  cnt=0\\n  while(1):\\n    if x%2==0:\\n      x=x//2\\n      cnt+=1\\n    else:\\n      break\\n  return cnt\\n\\ncnt=a[0]\\nfor i in range(n):\\n  cnt=lcm(cnt,a[i])\\n\\n\\nl=check(a[0])\\nfor i in range(1,n):\\n  x=check(a[i])\\n  if x!=l:\\n    print((0))\\n    return\\n\\n\\ns=m//cnt\\nif s%2==0:\\n  print((s//2))\\nelse:\\n  print((s//2+1))\\n\\n  \\n\", \"from math import gcd\\nN, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\nlcm = 1\\nfor a in A:\\n    lcm = lcm * a // gcd(lcm, a)\\n    if lcm > M*2:\\n        print((0))\\n        return\\nfor a in A:\\n    if lcm // a % 2 == 0:\\n        print((0))\\n        return\\nans = M // (lcm//2) - M // lcm\\nprint(ans)\\n\", \"from math import gcd\\ndef lcm(x,y):\\n    return x*y//gcd(x,y)\\ndef cnt(x):\\n    i = 0\\n    while x%2 == 0:\\n        x = x//2\\n        i += 1\\n    return i \\nn,m = map(int,input().split())\\na = list(map(int,input().split()))\\nmemo = cnt(a[0])\\nfor i in range(n):\\n    if cnt(a[i]) != memo:\\n        print(0)\\n        return\\n    a[i] = a[i]//2\\n\\nt = 1\\nfor i in range(n):\\n    t = lcm(t,a[i])\\nprint(m//t-m//(2*t))\", \"import math\\nimport numpy as np\\nN,M=map(int,input().split())\\nA=list(map(int,input().split()))\\nc=1\\ntest=A[0]\\nl=0\\n\\nwhile test%2 == 0:\\n  test=test//2\\n  c*=2\\n  \\nfor i in np.arange(N-1):\\n  if A[i+1]%c!=0:\\n    print(0)\\n    l=1\\n    break\\n  elif A[i+1]%(c*2)==0:\\n    print(0)\\n    l=1\\n    break\\n  else:\\n    k=A[i+1]//c\\n    test=test*k//math.gcd(test,k)\\nif l==0:\\n  k=test*c//2\\n  print(M//k//2+M//k%2)\", \"# \\u53c2\\u8003 : https://at274.hatenablog.com/entry/2020/01/15/060000\\nfrom functools import reduce\\nimport math\\n\\n\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\ndef lcm_list(numbers):  # \\u30ea\\u30b9\\u30c8\\u3092\\u6295\\u3052\\u308b\\u3068\\u5168\\u8981\\u7d20\\u306elcm\\u304c\\u8fd4\\u3063\\u3066\\u304f\\u308b\\n    return reduce(lcm, numbers, 1)\\n\\n\\nN, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\n\\n# \\u6700\\u521d\\u3001A\\u306e\\u8981\\u7d20\\u306f\\u5168\\u3066\\u5076\\u6570\\u30022\\u3067\\u5272\\u3063\\u305f\\u3082\\u306e\\u306b\\u7f6e\\u304d\\u63db\\u3048\\nA = [a // 2 for a in A]\\n\\n# \\u5168\\u3066\\u306e\\u8981\\u7d20\\u306b\\u3064\\u3044\\u3066\\u3001\\uff12\\u3067\\u5272\\u308c\\u308b\\u56de\\u6570\\u304c\\u540c\\u3058\\u3067\\u306a\\u3044\\u3068\\u984c\\u610f\\u306f\\u6e80\\u305f\\u305b\\u306a\\u3044\\ncount_div_2 = None\\nfor a in A:\\n    cnt = 0\\n    while a % 2 == 0:\\n        a //= 2\\n        cnt += 1\\n    # 1\\u500b\\u76ee\\u306f\\u7121\\u6761\\u4ef6\\u3067\\u4fdd\\u5b58\\n    if count_div_2 is None:\\n        count_div_2 = cnt\\n    # 2\\u500b\\u76ee\\u304b\\u3089\\u30c1\\u30a7\\u30c3\\u30af\\n    elif cnt != count_div_2:\\n        print((0))\\n        return\\n\\n# my_lcm = A\\u306e\\u5168\\u8981\\u7d20\\u306e\\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3002\\u3000\\u3053\\u306e\\u5947\\u6570\\u500d\\u304c\\u984c\\u610f\\u3092\\u6e80\\u305f\\u3059\\u3002\\n# my_lcm\\u304cM\\u3092\\u8d85\\u3048\\u3066\\u3044\\u305f\\u30891\\u3064\\u3082\\u4f5c\\u308c\\u306a\\u3044\\nmy_lcm = lcm_list(A)\\nif my_lcm > M:\\n    print((0))\\n    return\\n\\ntmp = M // my_lcm\\n# my_lcm\\u306e1,2,...M\\u500d\\u307e\\u3067\\u4f7f\\u3048\\u308b\\u304c\\u3001\\u5076\\u6570\\u306f\\u4f7f\\u3048\\u306a\\u3044\\n# tmp=1or2\\u306a\\u30891\\u500b, 3or4\\u306a\\u30892\\u500b, 5or6\\u306a\\u30893\\u500b,...\\nans = (tmp + 1) // 2\\nprint(ans)\\n\", \"import math\\nimport collections\\nimport sys\\n\\ninput = sys.stdin.readline\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\n\\nn,m=MI()\\nA=LI()\\ndef num2(x):\\n    ans=0\\n    while x%2==0:\\n        x=x//2\\n        ans+=1\\n    return ans\\nmod=2**(num2(A[0]))\\nfor i in range(1,n):\\n    if A[i]%mod!=0:\\n        print((0))\\n        return\\n    if A[i]%mod==0 and (A[i]//mod)%2==0:\\n        print((0))\\n        return\\n#print(A)\\nfor i in range(n):\\n    A[i]//=2\\n#print(A)\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\ndef lcm(a, b):\\n    return a // gcd(a, b) * b\\n\\nL=A[0]   \\nfor i in range(1,n):\\n    L=lcm(L,A[i])\\n#print(L)\\nif L>m:\\n    an=0\\nelse:\\n    an=int(((m/L)-1)/2)+1\\nprint(an)\\n\", \"import math\\n\\ndef lcm(a, b):\\n  return a*b//math.gcd(a, b)\\n\\ndef f(num):\\n  cnt = 0\\n  while num % 2 == 0:\\n    num = num // 2\\n    cnt += 1\\n  return cnt\\n\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\n\\nfor i in range(n):\\n  a[i] = a[i] // 2\\n\\nt = f(a[0])\\nfor i in range(n):\\n  if f(a[i]) != t:\\n    print(0)\\n    return\\n  a[i] = a[i] >> t\\nm = m >> t\\nl = 1\\nfor i in range(n):\\n  l = lcm(l, a[i])\\n  if l > m:\\n    print(0)\\n    return\\n\\nm = m // l\\nprint((m+1)//2)\", \"import math\\nfrom functools import reduce\\n\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\n\\ndef my_round(val, digit=0):\\n    p = 10 ** digit\\n    return (val * p * 2 + 1) // 2 / p\\n\\n\\nn, m = list(map(int, input().split()))\\na_pr = [i // 2 for i in list(map(int, input().split()))]\\nlcm_ = lcm_list(a_pr)\\nres, div2 = 0, None\\nfor ai in a_pr:\\n    cnt = 0\\n    while ai % 2 == 0:\\n        ai //= 2\\n        cnt += 1\\n    if div2 is None:\\n        div2 = cnt\\n    elif cnt != div2:\\n        print((0))\\n        return\\n\\nprint((int(my_round(m // lcm_ / 2))))\\n\", \"from math import gcd, ceil\\nfrom functools import reduce\\nimport sys\\n\\ndef lcm_base(x, y):\\n    return (x * y) // gcd(x, y)\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nN, M = map(int, input().split())\\na = [int(i)//2 for i in input().split()]\\n\\ns = set()\\nfor x in a:\\n    cur = 0\\n    y = x\\n    while y%2 == 0:\\n        cur += 1\\n        y //= 2\\n    s.add(cur)\\n    if len(s) >= 2:\\n        print(0)\\n        return\\nlcm = lcm_list(a)\\nprint((M//lcm+1)//2)\", \"from math import gcd, ceil\\n\\n\\ndef lcm(a, b):\\n    return (a*b)//gcd(a, b)\\n\\n\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    a[i] = a[i]//2\\n\\nlcm_v = a[0]\\nfor i in range(1, n):\\n    lcm_v = lcm(lcm_v, a[i])\\n\\nok = True\\nfor aa in a:\\n    if (lcm_v//aa) % 2 != 1:\\n        ok = False\\n        break\\nans = 0\\nif ok:\\n    ans = ((m//lcm_v)+1)//2\\nprint(ans)\\n\", \"from collections import deque,defaultdict\\ndef gcd(a,b):\\n    return b if not a%b else gcd(b,a%b)\\ndef lcm(a,b):\\n    return (a*b)//gcd(a,b)\\nn,m=list(map(int, input().split()))\\nA=[int(i) for i in input().split()]\\ntmp = A[0]\\nfor i in range(1,n):\\n    tmp = lcm(tmp,A[i])\\nans = m//tmp\\nlis = set()\\nfor i in A:\\n    r = i\\n    k=0\\n    while(r%2==0):\\n        k+=1\\n        r//=2\\n    lis.add(k)\\nif(m//(tmp)*tmp+tmp//2<=m):\\n    ans += 1\\nif(len(lis)!=1):\\n    ans=0\\n\\nprint(ans)\\n\\n\", \"import math\\nfrom decimal import Decimal, ROUND_HALF_UP\\ndef lcm(a):\\n    x = a[0]\\n    for i in range(1, len(a)):\\n        x = (x * a[i]) // math.gcd(x, a[i])\\n    return x\\ndef gcd(a):\\n  temp = math.gcd(a[0], a[1])\\n  for i in a:\\n    temp = math.gcd(temp,  i)\\n  return temp\\nn,m = map(int, input().split(\\\" \\\"))\\na = list(map(int, input().split(\\\" \\\")))\\nzero = False\\ncount = 0\\n#a = list(map(lambda x: x // 2, na))\\nmini = lcm(a)\\nif len(a) != 1:\\n  maxi = gcd(a)\\nelse:\\n  maxi = a[0]\\nmaxi2 = maxi\\nnibai = 1\\nwhile(True):\\n  if maxi2 % 2 == 0:\\n    nibai *= 2\\n    maxi2 //= 2\\n  else:\\n    break\\nfor i in a:\\n  if i % (2 * nibai) == 0:\\n    zero = True\\n    break\\n#print(nibai, maxi, mini)\\nif not zero:\\n  t = Decimal(str((m * 2 // mini) / 2))\\n  #print(t)\\n  print(t.quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nelse:\\n  print(0)\", \"from math import gcd\\nimport sys\\n\\ndef lcm(x,y):\\n    return x*y//gcd(x,y)\\n\\ndef count(x):\\n    res=0\\n    while True:\\n        if x%2==0:\\n            res+=1\\n            x//=2\\n        else:\\n            break\\n    return res\\n\\nn,m=list(map(int,input().split()))\\nA=list(map(int,input().split()))\\nA=list(set(A))\\nn=len(A)\\n\\nA.sort(reverse=True)\\n\\ntemp=A[0]\\nfor i in range(1,n):\\n    if count(A[i])!=count(temp):\\n        print((0))\\n        return\\n    else:\\n        temp=lcm(temp,A[i])\\n\\nans=m//(temp//2)-m//temp\\nprint(ans)\\n\", \"import math\\nimport fractions\\nfrom functools import reduce\\n\\nn, m = map(int,input().split())\\na = list(map(int,input().split()))\\na = [t // 2 for t in a]#\\u30ea\\u30b9\\u30c8\\u306e\\u8981\\u7d20\\u3059\\u3079\\u3066\\u30922\\u3067\\u5272\\u308b\\n\\ndef lcm_base(x, y):\\n    return (x * y)//fractions.gcd(x,y)\\n\\ndef lcm_list(numbers): #\\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3092\\u6c42\\u3081\\u308b\\n    return reduce(lcm_base, numbers, 1)\\n\\ndef num_dev2(x):\\n    return bin(x)[::-1].find(\\\"1\\\") #\\uff12\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\u3092\\u78ba\\u8a8d\\n\\nlcm = lcm_list(a)\\nq = m//lcm #m\\u306f\\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3067\\u4f55\\u56de\\u5272\\u308c\\u308b\\u304b\\n\\ncount = 0\\ndev2 = num_dev2(a[0])\\nfor i in range(1,n):\\n    if dev2 != num_dev2(a[i]):#\\u30ea\\u30b9\\u30c8\\u306e\\u3059\\u3079\\u3066\\u306e\\u8981\\u7d20\\u306e\\uff12\\u3067\\u5272\\u308c\\u308b\\u56de\\u6570\\u306f\\u7b49\\u3057\\u3044\\u304b\\n        count += 1\\n        break\\nif count != 0:\\n    print(0)\\nelse:\\n    print(math.ceil(q/2))\", \"from math import gcd\\n\\ndef lcm(a, b):\\n    return a // gcd(a, b) * b \\n\\nN, M = map(int, input().split())\\nAs = list(map(int, input().split()))\\n\\nrightmostbit = As[0] & -As[0]\\nfor A in As[1:]:\\n    if rightmostbit != A & -A:\\n        print(0)\\n        return \\n\\n\\nlcm_of_half_As = 1\\nfor A in As:\\n    lcm_of_half_As = lcm(lcm_of_half_As, A //  2)\\n    if lcm_of_half_As > M:\\n        break\\n\\nprint((M // lcm_of_half_As + 1) // 2)\", \"import sys\\nimport numpy as np\\ndef input(): return sys.stdin.readline().rstrip()\\n\\ndef kosuu(x):\\n    re = [0,0]\\n    while x % 2 == 0:\\n        x = x//2\\n        re[1]+=1\\n    re[0]=x\\n    return re\\n\\n        \\n \\ndef main():\\n    n,m=map(int, input().split())\\n    a=list(map(int, input().split()))\\n    li = [kosuu(a[0])[0]]\\n    hantei = kosuu(a[0])[1]\\n    for i in a[1:]:\\n        hantei2 = kosuu(i)\\n        if hantei2[1] != hantei:\\n            print(0)\\n            break\\n        else:\\n            li.append(hantei2[0])\\n    else:\\n        lc = np.lcm.reduce(li)\\n        print(((m//(lc*2**(hantei-1)))+1)//2)\\n            \\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nimport sys\\nfrom functools import reduce\\n\\nN, M = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\nfor i in range(N):\\n  A[i] = A[i] // 2\\n  \\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n  \\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nC = lcm_list(A)\\nB = [0 for _ in range(N)]\\n\\nfor i in range(N):\\n  B[i] = C // A[i]\\n  if B[i] % 2 == 0:\\n    print(0)\\n    return\\n\\nprint( (M // C + 1) // 2)\", \"import math\\nfrom functools import reduce\\n\\nn,m = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\ndef lcm_base(x,y):\\n  return x*y//math.gcd(x,y)\\n\\ndef lcm(target_list):\\n  return reduce(lcm_base, target_list)\\n\\nA_gcd = reduce(math.gcd, A)\\nflg = True\\n\\nfor a in A:\\n  if a//A_gcd%2==0:\\n    flg = False\\n    break\\n    \\nif flg:\\n  min_x = int(lcm(A))//2\\n  ans = m//min_x - m//(2*min_x)\\n  print(ans)\\nelse:\\n  print(0)\", \"from math import gcd\\nfrom functools import reduce\\nimport sys\\ninput = sys.stdin.readline\\n\\n\\ndef lcm(a, b):\\n    return a*b // gcd(a, b)\\n\\n\\ndef count_factor_2(num):\\n    count = 0\\n    while num % 2 == 0:\\n        num //= 2\\n        count += 1\\n    return count\\n\\n\\ndef main():\\n    n, m = list(map(int, input().split()))\\n    A = list([int(x)//2 for x in input().split()])\\n\\n    check = len(set(map(count_factor_2, A)))\\n    if check != 1:\\n        print((0))\\n        return\\n\\n    lcm_a = reduce(lcm, A)\\n    step = lcm_a * 2\\n    ans = (m + lcm_a) // step\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\"]",
        "difficulty": "interview",
        "input": "2 50\n6 10\n",
        "output": "2\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc150/tasks/abc150_d"
    },
    {
        "id": 253,
        "task_id": 2498,
        "test_case_id": 2,
        "question": "Given are a sequence A= {a_1,a_2,......a_N} of N positive even numbers, and an integer M.\nLet a semi-common multiple of A be a positive integer X that satisfies the following condition for every k (1 \\leq k \\leq N):\n - There exists a non-negative integer p such that X= a_k \\times (p+0.5).\nFind the number of semi-common multiples of A among the integers between 1 and M (inclusive).\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^9\n - 2 \\leq a_i \\leq 10^9\n - a_i is an even number.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 a_2 ... a_N\n\n-----Output-----\nPrint the number of semi-common multiples of A among the integers between 1 and M (inclusive).\n\n-----Sample Input-----\n2 50\n6 10\n\n-----Sample Output-----\n2\n\n - 15 = 6  \\times 2.5 \n - 15 = 10 \\times 1.5 \n - 45 = 6  \\times 7.5 \n - 45 = 10 \\times 4.5 \nThus, 15 and 45 are semi-common multiples of A. There are no other semi-common multiples of A between 1 and 50, so the answer is 2.",
        "solutions": "[\"n, m = map( int, input().split() )\\na = list( map( int, input().split() ) )\\n\\ndef f( a_k ): # 2\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\n    count = 0\\n    while a_k % 2 == 0:\\n        count += 1\\n        a_k = a_k // 2\\n    return count\\n\\nb = []\\nf_0 = f( a[ 0 ] )\\nfor a_k in a:\\n    f_k = f( a_k )\\n    if f_k != f_0:\\n        print( 0 )\\n        return\\n    b.append( a_k // pow( 2, f_k ) )\\n\\nimport math\\ndef lcm( x, y ):\\n    return x * y // math.gcd( x, y )\\n\\nb_lcm = 1\\nfor b_k in b:\\n    b_lcm = lcm( b_lcm, b_k )\\n\\na_lcm = b_lcm * pow( 2, f_0 )\\n# print( b_lcm, f_0, b )\\nprint( ( m + a_lcm // 2 ) // a_lcm )\", \"from functools import reduce\\n\\nN, M = list(map(int, input().split()))\\nAs = list(map(int, input().split()))\\n\\nBs = [A//2 for A in As]\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a%b\\n    return a\\ndef lcm(a, b):\\n    return a // gcd(a, b) * b\\n\\nnums = []\\nfor B in Bs:\\n    num = 0\\n    while B%2 == 0:\\n        B //= 2\\n        num += 1\\n    nums.append(num)\\n\\nif len(set(nums)) != 1:\\n    ans = 0\\nelse:\\n    L = reduce(lcm, Bs)\\n    ans = M//L - M//(2*L)\\n\\nprint(ans)\\n\", \"import math\\n\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\nb = {}\\nfor i in range(n):\\n    count = 0\\n    temp = a[i]\\n    while temp % 2 == 0:\\n        count += 1\\n        temp //= 2\\n    b.setdefault(count, 0)\\n    b[count] += 1\\nif len(b.keys()) >= 2:\\n    ans = 0\\nelse:\\n    temp = 1\\n    for i in range(n):\\n        temp = temp * a[i] // math.gcd(temp, a[i])\\n    temp2 = temp // 2\\n    ans = m // temp2 - m // temp\\nprint(ans)\", \"import numpy as np\\nimport sys\\n\\ndef main():\\n    N,M=list(map(int,input().split()))\\n    A=list(map(int,input().split()))\\n    A_double=list([x//2 for x in A])\\n\\n    mini_multi=int(np.lcm.reduce(A_double))\\n\\n    res=M//mini_multi\\n    \\n    for i in A_double:\\n        if (mini_multi//i)%2==0:\\n            print((0))\\n            return\\n\\n    if res%2!=0:\\n        res+=1\\n\\n\\n    print((res//2))\\n\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"# ABC150D\\n\\nimport sys\\ninput=sys.stdin.readline\\nfrom math import gcd,ceil\\n\\ndef main():\\n    N,M=list(map(int,input().split()))\\n    A=list([int(x)//2 for x in input().split()])\\n    lcm=A[0]\\n    for i in range(1,N):\\n        lcm=lcm*A[i]//gcd(lcm,A[i])\\n    allo=1\\n    for i in range(N):\\n        allo&=(lcm//A[i])%2\\n    if allo:\\n        print((ceil(int(M//lcm)/2)))\\n    else:\\n        print((0))\\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nfrom math import gcd\\nfrom copy import deepcopy\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef lcm(a, b):\\n    return a * b // gcd(a, b)\\n\\n\\ndef resolve():\\n    n, m = list(map(int, input().split()))\\n    A = list(map(int, input().split()))\\n\\n    A_ = deepcopy(A)\\n    cnt = [0] * n\\n    for i in range(n):\\n        while A_[i] % 2 == 0:\\n            A_[i] //= 2\\n            cnt[i] += 1\\n        if i != 0 and cnt[i] != cnt[i - 1]:\\n            print((0))\\n            return\\n\\n    L = 1\\n    for a in A:\\n        L = lcm(L, a // 2)\\n\\n    res = m // L - (m // (L * 2))\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from math import gcd\\ndef lcm(a,b):return (a*b)//(gcd(a,b))\\n\\ndef f(x):\\n    cnt=0\\n    while(x%2==0):\\n        cnt+=1\\n        x=x//2\\n    return cnt\\n\\nn,m=map(int,input().split())\\na=list(map(int,input().split()))\\na=list(map(lambda x: x//2,a))\\n\\nt=f(a[0])\\nfor i in range(n):\\n    if(f(a[i])!=t):\\n        print(0)\\n        return\\n    a[i]=a[i]//(2**t)\\nm=m//(2**t)\\nl=1\\nfor i in range(n):\\n    l=lcm(l,a[i])\\n    if(l>m):\\n        print(0)\\n        return\\nm=m//l\\nprint((m+1)//2)\", \"import math\\n\\nn,m=list(map(int,input().split()))\\na=list(map(int,input().split()))\\n\\nif n==1:\\n  a1=a[0]//2\\n  ans_m=m//a1\\n  if ans_m==0:\\n    print((0))\\n  else:\\n    print(((ans_m-1)//2+1))\\n  \\nelse:\\n  x=a[0]\\n  ch=0\\n  ch1=0\\n  while x%2==0:\\n    x=x//2\\n    ch+=1\\n  dob=2**ch\\n  for i in a:\\n    if i%dob==0 and i%(dob*2)!=0:\\n      ch1+=1\\n  if ch1!=n:\\n    print((0))\\n  else:\\n    ans=a[0]//2\\n    for j in range(1,n):\\n      ans=(ans*(a[j]//2))//math.gcd(ans,a[j]//2)\\n    ans_m=m//ans\\n    if ans_m==0:\\n      print((0))\\n    else:\\n      print(((ans_m-1)//2+1))\\n    \\n      \\n\", \"from math import gcd, ceil\\nN,M = map(int,input().split())\\nA = list(map(int,input().split()))\\nA = [a//2 for a in A]\\nB = 1\\n\\nfor a in A:\\n  B*=a//gcd(B,a)\\n  \\nfor a in A:\\n  if B//a%2==0:\\n    print(0)\\n    return\\n\\nprint(ceil((M//B)/2))\", \"def solve():\\n    import math\\n    N,M = [int(i) for i in input().split()]\\n    A = list(map(int, input().split()))\\n\\n    lcm = A[0]\\n    for i in range(1, N):\\n        lcm = lcm * A[i] // math.gcd(lcm, A[i])\\n    first = lcm // 2\\n\\n    ans_exists = True\\n    for i in range(N):\\n        if first % A[i] == 0:\\n            ans_exists = False\\n\\n    if ans_exists:\\n        ans = int((M-first) // lcm + 1)\\n        print(ans)\\n    else:\\n        print('0')\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Wed Sep  9 14:33:00 2020\\n\\n@author: liang\\n\\\"\\\"\\\"\\nfrom math import gcd\\n\\nN, M = map(int, input().split())\\nA = [int(i) for i in input().split()]\\n\\nflag = False\\nres = 1\\nfor a in A:\\n    a //= 2\\n    res *= a//gcd(res,a)\\n    if res > M:\\n        flag = True\\n        break\\n    #print(res)\\n\\\"\\\"\\\"\\n\\u5b58\\u5728\\u30c1\\u30a7\\u30c3\\u30af\\n\\uff12\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u500b\\u6570\\u540c\\u3058\\uff1f\\n\\\"\\\"\\\"\\n\\nfor a in A:\\n    if int(res/a) == res/a:\\n        flag = True\\n        \\nif flag:\\n    ans = 0\\n    print(ans)\\nelse:\\n    #ans = (M - res(A)//2)//res + 1\\n    #ans = (M-1)//res//2 + 1\\n    ans= (M//res + 1)//2\\n    print(ans)\", \"import math\\n\\nN, M = map(int,input().split())\\nA = list(map(int,input().split()))\\n\\npow2 = 0\\nwhile A[0] % 2 == 0:\\n    A[0] //= 2\\n    pow2 += 1\\n\\nfor i in range(1,N):\\n    cnt = 0\\n    while A[i] % 2 == 0:\\n        A[i] //= 2\\n        cnt += 1\\n    if cnt != pow2:\\n        print(0)\\n        return\\n\\nLCM = 2**max(0,pow2-1)\\nfor i in range(N):\\n    LCM = LCM * A[i] // math.gcd(LCM,A[i])\\n\\nans = M // LCM\\nprint((ans+1)//2)\", \"from math import gcd\\nfrom functools import reduce\\nimport sys\\ninput = sys.stdin.readline\\n\\n\\ndef lcm(a, b):\\n    return a*b // gcd(a, b)\\n\\n\\ndef count_factor_2(num):\\n    count = 0\\n    while num % 2 == 0:\\n        num //= 2\\n        count += 1\\n    return count\\n\\n\\ndef main():\\n    n, m = list(map(int, input().split()))\\n    A = list([x//2 for x in set(map(int, input().split()))])\\n\\n    check = len(set(map(count_factor_2, A)))\\n    if check != 1:\\n        print((0))\\n        return\\n\\n    lcm_a = reduce(lcm, A)\\n    step = lcm_a * 2\\n    ans = (m + lcm_a) // step\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nA = list(map(lambda x: int(x)//2, input().split()))\\n\\nimport math\\n\\ndef lcm(x, y):\\n  return (x // math.gcd(x, y)) * y\\n\\ndef pow2(x):\\n  ret = 0\\n  while x%2 == 0:\\n    ret += 1\\n    x //= 2\\n  return ret\\n\\nP = []\\nfor a in A:\\n  P.append(pow2(a))\\n\\nif len(set(P)) != 1:\\n  print(0)\\nelse:\\n  m = 1\\n  for a in A:\\n    m = lcm(m, a)\\n  print(-(-(M//m)//2))\", \"def GCM(x, y):\\n  if x%y==0:\\n    return y\\n  else:\\n    return GCM(y, x%y)\\n\\nN, M = map(int, input().split())\\n\\nA = list(map(int, input().split()))\\n\\ncount2 = [0 for i in range(N)]\\nfor i in range(N):\\n  a = A[i]\\n  while a%2==0:\\n    count2[i] += 1\\n    a = a//2\\n  A[i] = a\\nif sum(count2) == count2[0]*N:\\n  count2 = count2[0]\\n  buf = 1\\n  for i in range(N):\\n    buf = A[i]*buf//GCM(buf, A[i])\\n  buf *= 2**(count2-1)\\n  #print(buf)\\n  n = M//buf\\n  print((n+1)//2)\\n  \\nelse:\\n  print(0)\", \"import fractions\\nimport math\\nfrom functools import reduce\\n\\ndef lcm_base(x, y):\\n    return (x * y) // fractions.gcd(x, y)\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nn,m=map(int,input().split())\\na=list(map(int,input().split()))\\nb=lcm_list(map(lambda x: x//2, a))\\nswt=0\\n\\nfor i in range(n):\\n  if 0==(b//(a[i]//2))%2:\\n    swt=1\\n    break\\n\\nif 0==swt:\\n  print(math.ceil((m//b)/2))\\nelse:\\n  print(0)\", \"import math\\nimport numpy as np\\nN,M=map(int,input().split())\\nA=list(map(int,input().split()))\\nc=1\\ntest=A[0]\\nl=0\\n\\nwhile test%2 == 0:\\n  test=test//2\\n  c*=2\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n  \\nfor i in np.arange(N-1):\\n  if A[i+1]%c!=0:\\n    print(0)\\n    l=1\\n    break\\n  elif A[i+1]%(c*2)==0:\\n    print(0)\\n    l=1\\n    break\\n  else:\\n    k=A[i+1]//c\\n    test=lcm_base(test, k)\\nif l==0:\\n  k=test*c//2\\n  print(M//k//2 + M//k%2)\", \"from math import gcd\\n\\nN, M = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\nmemo = {}\\n\\ndef lcm(a,b):\\n    return a//gcd(a,b)*b\\n\\nb = 1\\n\\nfor a in A:\\n    b = lcm(a//2, b)\\n    if b > M:\\n        break\\n\\nif any([2 * b // a % 2 == 0 for a in A]):\\n    print(0)\\nelse:\\n    ans = M // b\\n    print(ans - ans // 2)\", \"import copy\\n# from math import gcd\\n\\n\\ndef gcd(a, b):\\n    if b == 0:\\n        return a\\n    else:\\n        return gcd(b, a%b)\\n\\ndef lcm(a, b):\\n    return (a // gcd(a, b)) * b\\ndef main():\\n    n, m = map(int, input().split())\\n    A = set([int(x) for x in input().split()])\\n    a_lcm = 1\\n    for a in A:\\n        a_lcm = lcm(a_lcm, a)\\n        # m\\u304clcm\\u306e\\u534a\\u5206\\u3088\\u308a\\u3082\\u5c0f\\u3055\\u304b\\u3063\\u305f\\u30890\\n        if (a_lcm / 2) > m:\\n            print(0)\\n            return\\n    for a in A:\\n        if (a_lcm / 2) % a == 0:\\n            print(0)\\n            return\\n    # # \\u3042\\u3068\\u306f\\u5b9a\\u6570\\u500d\\u306e\\u6570\\u8abf\\u3079\\u3066\\u7d42\\u308f\\u308a\\n    ans = int((m - (a_lcm / 2)) // a_lcm) + 1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"from math import gcd\\ndef lcm(a,b):\\n    return a//gcd(a,b)*b\\ndef lcm(ab):\\n    l=len(ab)\\n    ret=ab[0]\\n    for i in range(1,l):\\n        ret=ret//gcd(ab[i],ret)*ab[i]\\n    return ret\\ndef count2(a):\\n    ret=0\\n    while a%2==0:\\n        a//=2\\n        ret+=1\\n    return 2**ret\\nn,m=map(int,input().split())\\nA=list(map(int,input().split()))\\n#\\u3053\\u308c\\u306f\\u3044\\u3089\\u306a\\u3044\\u3067\\u3059\\nif any(i%2 for i in A):\\n    print(0);return\\nA=[i//2 for i in A]\\n#\\u5168\\u4f53\\u306e\\u6700\\u5c0f\\u516c\\u500d\\u6570\\np=lcm(A)\\nc=count2(p)\\n#2\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\u304c\\u540c\\u3058\\u3067\\u306a\\u3044\\u3082\\u306e\\u304c\\u3042\\u308b\\u5834\\u5408\\nif any(i%c for i in A):\\n    print(0);return\\nx=m//p\\n#print(p//c)\\nprint(-(-x//2))\", \"from math import gcd\\n\\nn, m = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\nA = [a//2 for a in  A]\\nlcm = 1\\n\\nfor i in range(n):\\n    lcm = lcm * A[i] // gcd(lcm, A[i])\\n    if lcm > m:\\n        print((0))\\n        return\\n        \\nfor a in A:\\n    if lcm // a % 2 == 0:\\n        print((0))\\n        return\\n\\nprint(((m//lcm + 1) // 2))\\n\", \"from fractions import gcd\\n\\ndef lcm_base(x, y):\\n    return (x * y) // gcd(x, y)\\ndef lcm(numbers):\\n    x = numbers[0]\\n    for y in numbers:\\n        x = lcm_base(x, y)\\n    return x\\n\\nN, M = list(map(int, input().split()))\\naaa = list(map(int, input().split()))\\na = aaa[0]\\ncnt = 0\\nwhile a % 2 == 0:\\n    cnt += 1\\n    a //= 2\\nfor a in aaa:\\n    if a % 2 ** cnt != 0 or a % 2 ** (cnt + 1) == 0:\\n        print((0))\\n        return        \\nbbb = [a // 2 for a in aaa]\\nlc = lcm(bbb)\\nq, r = divmod(M // lc , 2)\\nprint((q + r))\\n\", \"N, M = map(int, input().split())\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print(0)\\n    return\\nans = 0\\n\\nfor odd in [3, 5, 7, 11]:\\n  flag = False\\n  for k in range(N):\\n    if a[k]%odd == 0:\\n      a[k] //= odd\\n      flag = True\\n  if flag:\\n    foo *= odd\\n \\n \\nimport math\\n\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // math.gcd(lcm, b)\\n  if lcm* foo > M:\\n    print(0)\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\", \"import math\\nfrom functools import reduce\\nn, m = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\na0 = A[0]\\ncnt = 0\\nwhile a0%2 == 0:\\n    a0 //= 2\\n    cnt += 1\\n\\na = []\\nfor aa in A:\\n    if cnt == 1:\\n        if aa%4 == 0:\\n            print(0)\\n            return\\n    else:\\n        if aa%(2**(cnt-1)) != 0 or aa%(2**cnt) != 0 or aa%(2**(cnt+1)) == 0:\\n            print(0)\\n            return\\n    a.append(aa//2)\\n\\n\\ndef lcm_base(p, q):\\n    return (p * q) // math.gcd(p, q)\\n\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\n\\nlcm = lcm_list(a)\\nprint(m//lcm - m//(lcm*2))\", \"def main():\\n    import math\\n    n,m = list(map(int,input().split()))\\n    a = sorted(list(map(int,input().split())))\\n    for i in range(n):\\n        a[i] //= 2\\n    g=1\\n    for i in range(n):\\n        g = a[i] * g // math.gcd(g,a[i])\\n    for i in range(n):\\n        if g//a[i] % 2 == 0:\\n            print((0))\\n            return\\n    if g>m:\\n        print((0))\\n        return\\n    print((1 + (m-g)//(2*g)))\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nfrom functools import reduce\\nn, m = input().split()\\na = list(map(int, input().split()))\\nb =[0]*int(n)\\nfor i in range(len(a)):\\n  b[i] = a[i]//2\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\nc = 0\\n\\nx = lcm_list(b)\\nfor i in range(int(n)):\\n  if (x // b[i]) % 2 == 0:\\n    c = -1\\n    break\\n  else:\\n    continue\\n    \\nif c == -1:\\n  print((0))\\nelse:\\n  print((math.floor(((int(m)/x)+1)/2)))\\n\\n\", \"N, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\n\\nfrom fractions import gcd\\ndef two(n):\\n    ans = 0\\n    while n%2==0:\\n        n //= 2\\n        ans += 1\\n    return ans\\n\\ndef multi_lcm(A):\\n    ans = A[0]\\n    for a in A:\\n        ans *= a//gcd(ans,a)\\n    return ans\\n\\ndef solve(N,M,A):\\n    ans = 0\\n    num_two = len(set(map(two,A)))\\n    if num_two != 1:\\n        return 0\\n    l = multi_lcm(A)\\n    ans = (M+l//2)//l\\n    return ans\\nprint((solve(N,M,A)))\\n\", \"from math import gcd\\n\\nN, M = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\nf = lambda n: 0 if n%2 else f(n>>1)+1\\nx = f(A[0])\\n\\nif sum(x!=f(a) for a in A):\\n    print(0)\\n    return\\n\\nA = [a>>x for a in A]\\n\\ny = 1\\nfor a in A:\\n    y = y*a//gcd(y, a)\\n    if y<<(x-1) > M:\\n        print(0)\\n        return\\n\\nprint((M//(y<<(x-1))+1)//2)\", \"from math import gcd\\nN, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\nA = [i // 2 for i in A]\\nlcd = 1\\nfor a in A:\\n    lcd *= a // gcd(lcd, a)\\nfor a in A:\\n    if lcd // a % 2 == 0:\\n        print((0))\\n        return\\nprint(((M//lcd+1)//2))\\n\", \"N, M = list(map(int, input().split()))\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print((0))\\n    return\\nans = 0\\n\\nfor odd in [3, 5, 7, 11]:\\n  flag = False\\n  for k in range(N):\\n    if a[k]%odd == 0:\\n      a[k] //= odd\\n      flag = True\\n  if flag:\\n    foo *= odd\\n \\n \\ndef euclid(a, b):\\n  while b:\\n    a, b = b, a%b\\n  return a\\n\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // euclid(lcm, b)\\n  if lcm* foo > M:\\n    print((0))\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\\n\\n\", \"N, M = map(int, input().split())\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print(0)\\n    return\\nans = 0\\n\\nimport math\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // math.gcd(lcm, b)\\n  if lcm* foo > M:\\n    print(0)\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\", \"from math import gcd\\ndef readinput():\\n    n,m=list(map(int,input().split()))\\n    a=list(map(int,input().split()))\\n    return n,m,a\\n\\ndef lcm(a,b):\\n    return a*b//gcd(a,b)\\n\\ndef main(n,m,a):\\n    #s=set(a)\\n    #print(s)\\n    x=a[0]//2\\n    for i in range(1,n):\\n        x=lcm(x,a[i]//2)\\n    #print(x)\\n    gusubai=False\\n    kisubai=False\\n    for i in range(n):\\n        if x%a[i]!=0:\\n            gusubai=True\\n        else:\\n            kisubai=True\\n    \\n    y=m//x\\n    #print(y,x,m)\\n    if gusubai and not kisubai:\\n        ans=y//2+y%2\\n    elif gusubai and kisubai:\\n        ans=0\\n    else:\\n        ans=y\\n    return ans\\n\\ndef __starting_point():\\n    n,m,a=readinput()\\n    ans=main(n,m,a)\\n    print(ans)\\n\\n__starting_point()\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    N, M = MI()\\n    L = LI()\\n    L = [i//2 for i in L]\\n    \\n    past = L[0]\\n\\n    for i in L:\\n        past = (past // math.gcd(i, past)) * i\\n        if past > M or (past // i) % 2 == 0:\\n            print(0)\\n            return\\n    \\n    temp = M // past\\n    ans = (temp+1)//2\\n    print(ans)        \\n    \\n\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"from fractions import gcd\\nN, M = list(map(int, input().split()))\\nA = list(map(lambda x: int(x),input().split()))\\n\\ncnt = [0 for _ in range(N)]\\nfor i in range(N):\\n  a = A[i]\\n  while a%2 == 0:\\n    a = a // 2\\n    cnt[i] += 1\\n\\nif max(cnt) > min(cnt):\\n  print(0)\\n  return\\nC = max(cnt)\\n\\nA = list(map(lambda x: x // pow(2,C), A))\\ndef gcd(a,b):\\n  if a<b:\\n    a,b = b,a\\n  while a%b > 0:\\n    a,b = b,a%b\\n  return b\\n\\ndef lcm(a,b):\\n  return a*b//gcd(a,b)\\n\\nx = A[0]\\nfor a in A[1:]:\\n  x = lcm(x,a)\\nx = x * pow(2,C-1)\\n\\nprint((M // x + 1) // 2)\", \"from math import gcd\\nfrom functools import reduce\\n\\nn,m=map(int,input().split())\\nlst=list(map(lambda x : int(x)//2,input().split()))\\ndivi=0\\nx=lst[0]\\nwhile x%2==0:\\n    x//=2\\n    divi+=1\\n\\nfor i in range(1,n):\\n    divi2=0\\n    x=lst[i]\\n    while x%2==0:\\n        x//=2\\n        divi2+=1\\n    if divi!=divi2 :\\n        print(0)\\n        return\\n\\nwork=reduce(lambda x,y: x*y//gcd(x,y),lst)\\nprint((m//work+1)//2)\", \"n, m = map(int, input().split())\\naas = set(list(map(int, input().split())))\\na = [i//2 for i in aas]\\nimport math\\nN = len(a)\\ndef n_of_twos(x):\\n    res = 0\\n    while x%(2**(res+1))==0:\\n        res += 1\\n    return res\\nif N>=2:\\n    n_of_twos_0 = n_of_twos(a[0])\\n    for i in range(1,N):\\n        if n_of_twos(a[i]) != n_of_twos_0:\\n            print(0)\\n            return\\nans = a[0]\\nfor i in range(1, N):\\n    ans = ans * a[i] // math.gcd(ans, a[i])\\nif ans > m:\\n    print(0)\\n    return\\nprint(1 + (m//ans-1)//2)\", \"from math import gcd, ceil\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\na = [i // 2 for i in a]\\nl = 1\\nfor i in a:\\n    l *= i // gcd(l, i)\\nfor i in a:\\n    if l // i % 2 == 0:\\n        print(0)\\n        return\\nprint(ceil((m // l) / 2))\", \"import queue\\nimport numpy as np\\nimport math\\n\\nN, M = map(int, input().split())\\na2 = list(map(int, input().split()))\\na = []\\nfor i in a2:\\n    a.append(i//2)\\n\\nlcm = a[0]\\n\\nfor i in a:\\n    lcm *= i // math.gcd(lcm, i)\\n\\nhasAns = True\\nfor i in a:\\n    if (lcm // i) % 2 == 0:\\n        hasAns = False\\n        break\\n\\nans = 0\\n\\nif hasAns:\\n    ans = ((M // lcm) + 1 )// 2\\n\\nprint(ans)\", \"from math import gcd\\nn,m=map(int,input().split())\\na=list(map(int,input().split()))\\na=list(set(a))\\na=list(map(lambda x: x//2, a))\\n\\ndef lcm(q):\\n  x = q[0]\\n  for i in range(1, len(q)):\\n    x = (x * q[i]) // gcd(x, q[i])\\n  return x\\n\\nlcma=lcm(a)\\nfor i in range(len(a)):\\n  if (lcma//a[i])%2==0:\\n    print(0)\\n    return\\ntemp=m//lcma\\nprint(-(-temp//2))\", \"import sys\\nimport math\\n# import bisect\\n# import numpy as np\\n# from decimal import Decimal\\n# from numba import njit, i8, u1, b1 #JIT compiler\\n# from itertools import combinations, product\\n# from collections import Counter, deque, defaultdict\\n\\n# sys.setrecursionlimit(10 ** 6)\\nMOD = 10 ** 9 + 7\\nINF = 10 ** 9\\nPI = 3.14159265358979323846\\n\\ndef read_str():      return sys.stdin.readline().strip()\\ndef read_int():      return int(sys.stdin.readline().strip())\\ndef read_ints():     return map(int, sys.stdin.readline().strip().split())\\ndef read_ints2(x):   return map(lambda num: int(num) - x, sys.stdin.readline().strip().split())\\ndef read_str_list(): return list(sys.stdin.readline().strip().split())\\ndef read_int_list(): return list(map(int, sys.stdin.readline().strip().split()))\\ndef GCD(a: int, b: int) -> int: return b if a%b==0 else GCD(b, a%b)\\ndef LCM(a: int, b: int) -> int: return (a * b) // GCD(a, b)\\n\\ndef Main():\\n    n, m = read_ints()\\n    a = read_int_list()\\n    a = [x // 2 for x in a]\\n    lcm = 1\\n    for x in a:\\n        lcm *= x // math.gcd(lcm, x)\\n    for x in a:\\n        if lcm // x % 2 == 0:\\n            print(0)\\n            return\\n    print(math.ceil((m // lcm) / 2))\\n\\ndef __starting_point():\\n    Main()\\n__starting_point()\", \"import sys\\ninput=sys.stdin.readline\\nimport math\\n\\nN,M=(int(x) for x in input().rstrip('\\\\n').split())\\nAs=[int(x) for x in input().rstrip('\\\\n').split()]\\nn = 1\\nuse2 = 0\\ncheck = 0\\nfor i in range(N):\\n  x = As[i]\\n  if i==0:\\n    while x % 2==0:\\n      use2+=1 \\n      x = x//2\\n    lcm=x\\n  else:\\n    use=0\\n    while x%2==0:\\n      x = x//2\\n      use += 1\\n    if use2 != use:\\n      check += 1\\n      break\\n    lcm=lcm*x//(math.gcd(lcm,x))\\nif check > 0:\\n  print(0)\\nelse:\\n  LCM=2**(use2-1)\\n  LCM=LCM*lcm\\n  print(((M//LCM)+1)//2)\", \"def lcm(a, b):\\n  return a // gcd(a, b) * b\\n\\ndef gcd(a, b):\\n  if(b == 0): return a\\n  else: return gcd(b, a % b)\\n\\ndef cnt(a):\\n  res = 0\\n  while(a and a % 2 == 0):\\n    a //= 2\\n    res += 1\\n  return res\\n\\nn, m = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\nl = 1\\nc = cnt(A[0])\\nfor a in A:\\n  if cnt(a) != c or c == 0:\\n    print(0)\\n    return\\n  else:\\n    l = lcm(l, a // 2)\\nd = m // l\\nprint((d + 1) // 2)\", \"from math import gcd\\nfrom functools import reduce\\n\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\n\\ndef lcm(a, b):\\n    return a*b // gcd(a,b)\\n\\na = [i//2 for i in a]\\n\\nl = reduce(lcm, a)\\n\\nif any((l//i) % 2 == 0 for i in a):\\n    print(0)\\n    return\\n\\nprint(-(-(m//l)//2))\", \"import math\\nn,m= list(map(int,input().split()))\\nal= list(map(int,input().split()))\\ntwos = set()\\nfor c in al:\\n    temp,tempc=0,c\\n    while tempc%2==0:\\n        tempc//=2\\n        temp+=1\\n    twos.add(temp)\\nif len(twos)>1:print((0))\\nelse:\\n    lcmv=al[0]\\n    for i in range(1,n):lcmv = lcmv*al[i] // math.gcd(lcmv,al[i])\\n    print((max(0,1 + (m-lcmv//2)//lcmv)))\\n\", \"from functools import reduce\\n\\ndef main():\\n  N,M=map(int,input().split())\\n  *A,=map(int,input().split())\\n\\n  A = list(set(A))\\n  N = len(A)\\n\\n  B = [A[i]//2 for i in range(N)]\\n\\n  def factorize(n):\\n      out=[]\\n      i = 2\\n      while i==2:\\n          if n%i==0:\\n              out.append(i)\\n              n //= i\\n          else:\\n              i += 1\\n          if n == 1:break\\n          if i > int(n**.5+3):\\n              out.append(n)\\n              break\\n      return out\\n\\n  ord_list=[len(factorize(B[i])) for i in range(N)]\\n\\n  if len(set(ord_list)) != 1:\\n    print(0)\\n    return\\n\\n  def gcd(a,b):\\n    if b == 0: return a\\n    return gcd(b,a%b)\\n\\n  def lcm(a,b):\\n    return a*b//gcd(a,b)\\n\\n  LCM = reduce(lcm,B)\\n  print((M//LCM+1)//2)\\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"from math import gcd\\ndef lcm(a, b):\\n    return a * b // gcd(a, b)\\n\\ndef lcm_g(A):\\n    ret = 1\\n    for a in A:\\n        ret = lcm(ret, a)\\n    return ret\\n\\ndef is_hcm(x, A):\\n    for i in range(N):\\n        if x % A[i] != A[i] // 2:\\n            return False\\n    return True\\n\\nN, M = [int(x) for x in input().split()]\\nA = [int(x) for x in input().split()]\\n\\nl = lcm_g(A)\\nif is_hcm(l // 2, A):\\n    ans = (2 * M + l) // (2 * l)\\nelse:\\n    ans = 0\\n\\nprint(ans)\", \"import math\\nimport fractions\\nfrom functools import reduce\\n \\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\na=[t//2 for t in a] # \\u30ea\\u30b9\\u30c8\\u306e\\u8981\\u7d20\\u3092\\u5168\\u30662\\u3067\\u5272\\u308b\\n \\ndef lcm_base(x, y):\\n    return (x * y) // fractions.gcd(x, y)\\n \\ndef lcm_list(numbers): # \\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3092\\u6c42\\u3081\\u308b\\n    return reduce(lcm_base, numbers, 1)\\n \\ndef num_dev2(x): # 2\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n    return format(x, 'b')[::-1].find('1')\\n \\nlcm = lcm_list(a)\\nq = m // lcm # m\\u306f\\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3067\\u4f55\\u56de\\u5272\\u308c\\u308b\\u304b\\n \\ncount = 0\\ndev2 = num_dev2(a[0])\\nfor i in range(1, n):\\n    if dev2 != num_dev2(a[i]): # \\u30ea\\u30b9\\u30c8\\u306e\\u5168\\u3066\\u306e\\u8981\\u7d20\\u306e\\u30012\\u3067\\u5272\\u308c\\u308b\\u56de\\u6570\\u306f\\u7b49\\u3057\\u3044\\u304b\\uff1f\\n        count += 1\\n        break\\nif count != 0:\\n    print(0)\\nelse:\\n    print(math.ceil(q/2))\", \"import sys, re\\nfrom collections import deque, defaultdict, Counter\\nfrom math import ceil, sqrt, hypot, factorial, pi, sin, cos, tan, asin, acos, atan, radians, degrees, log2, gcd\\nfrom itertools import accumulate, permutations, combinations, combinations_with_replacement, product, groupby\\nfrom operator import itemgetter, mul\\nfrom copy import deepcopy\\nfrom string import ascii_lowercase, ascii_uppercase, digits\\nfrom bisect import bisect, bisect_left, insort, insort_left\\nfrom heapq import heappush, heappop\\nfrom functools import reduce, lru_cache\\ndef input(): return sys.stdin.readline().strip()\\ndef INT(): return int(input())\\ndef MAP(): return map(int, input().split())\\ndef LIST(): return list(map(int, input().split()))\\ndef TUPLE(): return tuple(map(int, input().split()))\\ndef ZIP(n): return zip(*(MAP() for _ in range(n)))\\nsys.setrecursionlimit(10 ** 9)\\nINF = 10**6#float('inf')\\n#mod = 10 ** 9 + 7 \\nmod = 998244353\\n#from decimal import *\\n#import numpy as np\\n#decimal.getcontext().prec = 10\\n\\nN, M = MAP()\\na = LIST()\\n\\nA = sorted([x//2 for x in a], reverse=True)\\n\\nb = A[0]\\ncnt = 0\\nwhile b%2 == 0:\\n\\tb //= 2\\n\\tcnt += 1\\n\\nfor x in A:\\n\\tif x%pow(2, cnt) or (x//pow(2, cnt))%2 == 0:\\n\\t\\tprint(0)\\n\\t\\treturn\\n\\nlcm = A[-1]\\nfor x in A:\\n\\tlcm = lcm*x//gcd(lcm, x)\\n\\nr = lcm//A[0]\\nn = M//A[0]\\n\\n#2p+1\\u304c1<=2p+1<=n \\u306e\\u7bc4\\u56f2\\u3067 r\\u306e\\u500d\\u6570\\u3068\\u306a\\u308bp\\u306e\\u500b\\u6570\\nif r%2 == 0:\\n\\tprint(0)\\nelse:\\n\\tprint(n//r - n//(2*r))\", \"from math import gcd, ceil\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\na = [i // 2 for i in a]\\nl = 1\\nfor i in a:\\n    l *= i // gcd(l, i)\\nfor i in a:\\n    if l // i % 2 == 0:\\n        print((0))\\n        return\\nprint((ceil((m // l) / 2)))\\n\", \"from functools import reduce\\nimport math\\ndef lcm_base(x, y):\\n  return (x * y) // math.gcd(x, y)\\n\\ndef lcm(*numbers):\\n  return reduce(lcm_base, numbers, 1)\\n\\ndef lcm_list(numbers):\\n  return reduce(lcm_base, numbers, 1)\\n\\nn,m = map(int, input().split())\\na = list(map(int, input().split()))\\na = [i//2 for i in list(set(a))]\\nnothing = False\\ncnt_common = -1\\nfor i in a:\\n  cnt = 0\\n  while i % 2 == 0:\\n    i = i//2\\n    cnt += 1\\n  if cnt_common == -1:\\n    cnt_common = cnt\\n    continue\\n  if cnt_common != cnt:\\n    nothing = True\\n    break\\n\\nb=lcm_list(a)\\nif nothing:\\n  print(0)\\nelse:\\n  ans = (m-b)//(2*b) + 1\\n  print(max(ans,0))\", \"from fractions import gcd\\ndef lcm(a,b):\\n    return (a*b)//gcd(a,b)\\nn,m = map(int,input().split())\\na = list(map(int,input().split()))\\nans = 1\\nfor i in a:\\n    ans = lcm(ans,i)\\nfor i in a:\\n    if (ans//i) % 2 == 0:\\n        print(0)\\n        return\\nprint(((m//(ans//2))+1)//2)\", \"import math\\nN, M = map(int, input().split())\\nB = tuple(int(a) // 2 for a in input().split())\\n\\nx = B[0]\\nfor i in range(1, N):\\n    x = (x * B[i]) // math.gcd(x, B[i])\\n\\nfor b in B:\\n    if (x // b) % 2 == 0:\\n        print(0)\\n        break\\nelse:\\n    ans = (M // x) - (M // (2 * x))\\n    print(ans)\", \"import math\\nfrom functools import reduce\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\ndef div2_n(x):\\n    n = 0\\n    while x % 2 == 0:\\n      if x % 2 == 0:\\n          n += 1\\n          x >>= 1\\n    return n\\n  \\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\n\\na2 = [i//2 for i in a]\\nn0 = div2_n(a2[0])\\nfor i in range(1,n):\\n    if div2_n(a2[i]) != n0:\\n        print((0))\\n        return\\n\\na2_l = lcm(*a2)\\nprint((m//a2_l - m//(a2_l*2)))\\n\", \"N, M = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\ndef gcd(a,b):\\n    while b > 0:\\n        a, b = b, a % b\\n    return a\\n\\n\\nG = A[0]/2\\nfor a in A[1:]:\\n    G *= (a/2)/gcd(G,a//2)\\nfor a in A:\\n    if G % a == 0:\\n        print(0)\\n        return\\nprint(int(M//G - M//G//2))\", \"n , m = list(map(int, input().split()))\\na = list(map(int,input().split()))\\n\\ndef gcd(num1,num2):\\n    r=1\\n    while r>0:\\n        r=num1%num2\\n        num1=num2\\n        num2=r\\n    return num1\\n\\ndef lcm(num1,num2):\\n    gcd1=gcd(num1,num2)\\n    return num1*num2//gcd1\\n\\nlcm1=a[0]//2\\nlcm2=a[0]\\n\\nfor i in range(1,n):\\n    t=a[i]\\n    lcm1=lcm(lcm1,t//2)\\n    lcm2=lcm(lcm2,t)\\n    ta=max(t//2,lcm1)\\n    tb=min(t//2,lcm1)\\n    if ta!=tb and ta//tb%2==0:\\n        lcm1=0\\n        lcm2=0\\n        break\\n\\nif lcm1!=0:\\n    ans1=m//lcm1\\n    ans2=m//lcm2\\n    ans=ans1-ans2\\nelse:\\n    ans=0\\n\\nprint(ans)\\n\", \"import sys, re\\nfrom collections import deque, defaultdict, Counter\\nfrom math import ceil, sqrt, hypot, factorial, pi, sin, cos, tan, asin, acos, atan, radians, degrees, log2, gcd\\nfrom itertools import accumulate, permutations, combinations, combinations_with_replacement, product, groupby\\nfrom operator import itemgetter, mul\\nfrom copy import deepcopy\\nfrom string import ascii_lowercase, ascii_uppercase, digits\\nfrom bisect import bisect, bisect_left, insort, insort_left\\nfrom heapq import heappush, heappop\\nfrom functools import reduce, lru_cache\\ndef input(): return sys.stdin.readline().strip()\\ndef INT(): return int(input())\\ndef MAP(): return map(int, input().split())\\ndef LIST(): return list(map(int, input().split()))\\ndef TUPLE(): return tuple(map(int, input().split()))\\ndef ZIP(n): return zip(*(MAP() for _ in range(n)))\\nsys.setrecursionlimit(10 ** 9)\\nINF = 10**6#float('inf')\\n#mod = 10 ** 9 + 7 \\nmod = 998244353\\n#from decimal import *\\n#import numpy as np\\n#decimal.getcontext().prec = 10\\n\\nN, M = MAP()\\na = LIST()\\n\\nA = sorted([x//2 for x in a], reverse=True)\\n\\nlcm = A[-1]\\nfor x in A:\\n\\tlcm = lcm*x//gcd(lcm, x)\\n\\nr = lcm//A[0]\\nn = M//A[0]\\n\\n\\nfor x in A:\\n\\tif lcm//x%2 == 0:\\n\\t\\tprint(0)\\n\\t\\treturn\\n#2p+1\\u304c1<=2p+1<=n \\u306e\\u7bc4\\u56f2\\u3067 r\\u306e\\u500d\\u6570\\u3068\\u306a\\u308bp\\u306e\\u500b\\u6570\\nif r%2 == 0:\\n\\tprint(0)\\nelse:\\n\\tprint(n//r - n//(2*r))\", \"import math\\nfrom functools import reduce\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nN,M = map(int,input().split())\\na = list(map(lambda a: int(a)//2, input().split()))\\ng = lcm(*a)\\nif any([g // item % 2 == 0 for item in a]):\\n    print(0)\\nelse:\\n    ans = M//g\\n    ans = max(math.ceil(ans/2),0)   \\n    print(ans)\", \"from math import gcd\\nN, M = list(map(int, input().split()))\\nA = [a//2 for a in map(int, input().split())]\\n\\nlcm = 1\\nfor a in A:\\n    lcm = lcm*a//gcd(lcm, a)\\n    if lcm > M:\\n        print((0))\\n        return\\n\\nfor a in A:\\n    div = lcm//a\\n    if div % 2 == 0:\\n        print((0))\\n        return\\n\\nans = (M//lcm+1)//2\\nprint(ans)\\n\", \"import math\\ndef LCM(a, b):\\n    g = math.gcd(a, b)\\n    return a * b // g\\n\\nN, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\nA = list(set(A))\\nN = len(A)\\na0 = A[0]\\ndiv = 1\\nwhile a0 % 2 == 0:\\n    div *= 2\\n    a0 //= 2\\n\\nfor i in range(1, N):\\n    a = A[i] % div\\n    b = A[i] // div\\n    if (b % 2 == 0) or (a != 0):\\n        print((0))\\n        return\\n\\nfor i in range(N):\\n    A[i] //= 2\\n\\nif N > 1:\\n    lcm = LCM(A[0], A[1])\\n    for i in range(2, N):\\n        lcm = LCM(lcm, A[i])\\n\\nif N == 1:\\n    lcm = A[0]\\n\\nans = M // lcm\\nif ans % 2 == 1:\\n    print((ans // 2 + 1))\\nelse:\\n    print((ans // 2))\\n\", \"import math\\ndef lcm(x,y):\\n    return(x*y)//math.gcd(x,y)\\nn,m=map(int,input().split())\\nl=list(map(int,input().split()))\\na=l[0]//2\\nfor i in range(n-1):\\n    a=lcm(a,l[i+1]//2)\\n \\nok = True\\nfor i in range(n):\\n  if (a//(l[i]//2))%2!=1:\\n    ok=False\\n    break\\nans = 0\\nif ok:\\n    ans = ((m//a)+1)//2\\nprint(ans)\", \"import sys\\nN,M = list(map(int,input().split()))\\nA = list(map(int,input().split()))\\na = []\\nfor i in A:\\n  i = i//2\\n  a.append(i)\\ndef gcd(p,q):\\n  p,q = max(p,q),min(p,q)\\n  while q!=0:\\n    p,q = q,p%q\\n  return p\\ndef lcm(p,q):\\n  return(p*q//gcd(p,q))\\ndef aaa(i):\\n  count = 0\\n  while i%2==0:\\n    i = i//2\\n    count+=1\\n  return count\\nmax_num = a[0]\\naa = aaa(a[0])\\nfor i in a:\\n  max_num = lcm(i,max_num)\\n  if aa != aaa(i):\\n    print((0))\\n    return\\nprint((((M//max_num)+1)//2))\\n\", \"import math\\ndef lcm(a,b):\\n  return (a*b)//math.gcd(a,b)\\ndef co(num):\\n  return format(num, 'b')[::-1].find('1')\\nN,M=map(int,input().split())\\nL=list(map(int,input().split()))\\nL2=[co(i) for i in L]\\nif len(set(L2))!=1:\\n  print(0)\\n  return\\nL=[i//2 for i in L]\\ns=L[0]\\nfor i in range(N):\\n  s=lcm(s,L[i])\\nc=M//s\\nprint((c+1)//2)\", \"import math\\nfrom functools import reduce\\n\\nN,M=list(map(int,input().split()))\\nA=[int(x)//2 for x in input().split()]\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nLCM=lcm(*A)\\nfor a in A:\\n  if LCM//a%2==0:\\n    print((0))\\n    break\\nelse:\\n  print(((M//LCM+1)//2))\\n\", \"import numpy as np\\nfrom math import ceil\\n\\nn,m = map(int,input().split())\\na = list(map(int,input().split()))\\na = [x//2 for x in a]\\nlcm = np.lcm.reduce(a)\\nans = 0\\n\\nfor i in a:\\n    if lcm // i % 2 == 0:\\n        break\\nelse:\\n    ans = ceil((m//lcm)/2)\\n\\nprint(ans)\", \"import math\\n\\ndef n_2(n):\\n  c=0\\n  while n%2==0:\\n    c+=1\\n    n>>=1\\n  return (n,c)\\n\\nN,M=map(int,input().split())\\nA=list(map(int,input().split()))\\nA[0],a=n_2(A[0])\\np=False\\nfor i in range(1,N):\\n  A[i],b=n_2(A[i])\\n  if a!=b:\\n    p=True\\n    break\\nif p:\\n  print(0)\\n  return\\nn=1\\nfor _ in range(a-1):\\n  n*=2\\nl=n\\nfor a in A:\\n  l=l*a//math.gcd(l,a)\\nans=M//l-M//(2*l)\\nprint(ans)\", \"def abc150_d():\\n    n, m = (int(x) for x in input().split())\\n    A = [int(x) // 2 for x in input().split()]\\n\\n    from math import gcd\\n    def lcm(a, b):\\n        return a * b // gcd(a, b)\\n\\n    x = 1\\n    for a in A:\\n        x = lcm(x, a)\\n\\n    valid = True\\n    for a in A:\\n        if (x // a) % 2 == 0:\\n            valid = False\\n            break\\n\\n    if valid: ans = (m // x + 1) // 2\\n    else: ans = 0\\n    print(ans)\\n\\ndef __starting_point():\\n    abc150_d()\\n__starting_point()\", \"from math import gcd\\nn,m=map(int,input().split())\\na=list(map(int,input().split()))\\na=list(set(a))\\na=list(map(lambda x: x//2, a))\\n\\ndef lcm(q):\\n  x = q[0]\\n  for i in range(1, len(q)):\\n    x = (x * q[i]) // gcd(x, q[i])\\n  return x\\n\\nlcma=lcm(a)\\nfor i in range(len(a)):\\n  if (lcma//a[i])%2==0:\\n    print(0)\\n    return\\ntemp=m//lcma\\nprint(temp//2 if temp%2==0 else temp//2+1)\", \"from math import gcd, ceil\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\na = [i // 2 for i in a]\\nl = 1\\nfor i in a:\\n    l *= i // gcd(l, i)\\nfor i in a:\\n    if l // i % 2 == 0:\\n        print(0)\\n        return\\nprint(ceil((m // l) / 2))\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ndef lcm(a, b):\\n    \\\"\\\"\\\"\\u6700\\u5c0f\\u516c\\u500d\\u6570\\\"\\\"\\\"\\n    from math import gcd\\n    return (a * b) // gcd(a, b)\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, M, As):\\n    if sum([a % 2 for a in As]) > 0:\\n        print((0))\\n        return\\n\\n    As = [a // 2 for a in As]\\n    all_lcm = 1\\n    for a in As:\\n        all_lcm = lcm(all_lcm, a)\\n        if all_lcm > M:\\n            print((0))\\n            return\\n\\n    for a in As:\\n        if (all_lcm // a) % 2 == 0:\\n            print((0))\\n            return\\n    from math import ceil\\n    print((ceil(M // all_lcm / 2)))\\n\\n\\ndef __starting_point():\\n    N, M = list(map(int, input().split()))\\n    As = [int(i) for i in input().split()]\\n\\n    # import random\\n    # N, M = 10 ** 5, 10 ** 9\\n    # As = [random.randint(5, 5) * 2 for _ in range(N)]\\n    solve(N, M, As)\\n\\n__starting_point()\", \"import sys,math\\nr=sys.stdin.readline\\ndef gcd(a,b):\\n    a,b=max(a,b),min(a,b)\\n    while b>0:\\n        a,b=b,a%b\\n    return a\\ndef lcm(arr):\\n    while len(arr)!=1:\\n        a=arr.pop()\\n        b=arr.pop()\\n        c=gcd(a,b)\\n        arr.insert(0,int(a*b/c))\\n    return arr[0]\\ndef cnt2(num):\\n    cnt=0\\n    while num%2==0:\\n        num/=2\\n        cnt+=1\\n    return cnt\\nN,M=list(map(int,r().split()))\\nseq=list(map(int,r().split()))\\nseq=list(set(seq))\\ntmp=cnt2(seq[0])\\nfor num in seq:\\n    if tmp!=cnt2(num):\\n        print((0))\\n        return\\nT=lcm(list([x//2 for x in seq]))\\nif T>M:\\n    print((0))\\n    return\\nprint((math.floor(M//T/2+0.5)))\\n\\n\\n\\n\", \"N, M = list(map(int, input().split()))\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print((0))\\n    return\\nans = 0\\n\\nfor odd in [3]:\\n  flag = False\\n  for k in range(N):\\n    if a[k]%odd == 0:\\n      a[k] //= odd\\n      flag = True\\n  if flag:\\n    foo *= odd\\n \\n \\nimport math\\n\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // math.gcd(lcm, b)\\n  if lcm* foo > M:\\n    print((0))\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\\n\\n\", \"from math import gcd\\n\\ndef lcm(a, b):\\n    return a * b // gcd(a, b)\\n\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\nl = [0] * n\\nfor i in range(n):\\n    tmp = a[i]\\n    while tmp % 2 == 0:\\n        tmp //= 2\\n        l[i] += 1\\n    if i > 0 and l[i] != l[i - 1]:\\n        print((0))\\n        return\\nres = 1\\nfor i in range(n):\\n    res = lcm(res, a[i] // 2)\\nprint((m // res - m // (res * 2)))\\n\", \"def main():\\n    N, M = map(int, input().split())\\n    A = tuple(map(int,input().split()))\\n    ans = count(A, N, M)\\n    print(ans)\\ndef count(A, N, M):\\n    t = hMt(A[0])\\n    B = [A[0]//(2**t)]\\n    for val in A[1:]:\\n        if hMt(val) != t:\\n            ans = 0\\n            return ans\\n        B.append(val//(2**t))\\n    T = nlcm(B)\\n    MdivT = (M//(2**(t-1)))//T\\n    ans = countodd(MdivT)\\n    return ans\\ndef countodd(num):\\n    if num%2 == 0:\\n        ans = num//2\\n    else:\\n        ans = num//2 + num%2\\n    return ans\\ndef nlcm(A):\\n    LCM = A[0]\\n    for val in A[1:]:\\n        #print(\\\"%d %d gcm:%d LCM:%d\\\"%(LCM,val,gcm(LCM,val),lcm(LCM,val)))\\n        LCM = lcm(LCM,val)\\n    return LCM\\n    \\ndef gcm(a, b):\\n    abtuple = (a,b)\\n    abmin = min([0,1], key=lambda x:abtuple[x])\\n    remainder = abtuple[1-abmin]%abtuple[abmin]\\n    if remainder == 0:\\n        return abtuple[abmin]\\n    return gcm(abtuple[abmin], remainder)\\ndef lcm(a,b):\\n    prod = a*b\\n    ans = prod//gcm(a,b)\\n    return ans\\ndef hMt(num):\\n    ans = 0\\n    tmp = num\\n    while tmp%2 == 0:\\n        tmp = tmp//2\\n        ans += 1\\n    return ans\\nmain()\", \"N, M = list(map(int, input().split()))\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print((0))\\n    return\\nans = 0\\n\\nfor odd in [3, 5, 7]:\\n  flag = False\\n  for k in range(N):\\n    if a[k]%odd == 0:\\n      a[k] //= odd\\n      flag = True\\n  if flag:\\n    foo *= odd\\n \\n \\nimport math\\n\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // math.gcd(lcm, b)\\n  if lcm* foo > M:\\n    print((0))\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\\n\\n\", \"from math import gcd\\ndef lcm(a,b):\\n    return a//gcd(a,b)*b\\ndef lcm(ab):\\n    l=len(ab)\\n    ret=ab[0]\\n    for i in range(1,l):\\n        ret=ret//gcd(ab[i],ret)*ab[i]\\n    return ret\\ndef count2(a):\\n    ret=0\\n    while a%2==0:\\n        a//=2\\n        ret+=1\\n    return 2**ret\\nn,m=map(int,input().split())\\nA=list(map(int,input().split()))\\nif any(i%2 for i in A):\\n    print(0);return\\nA=[i//2 for i in A]\\n#\\u5168\\u4f53\\u306e\\u6700\\u5c0f\\u516c\\u500d\\u6570\\np=lcm(A)\\nc=count2(p)\\n#2\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\u304c\\u540c\\u3058\\u3067\\u306a\\u3044\\u3082\\u306e\\u304c\\u3042\\u308b\\u5834\\u5408\\n#\\u9055\\u3046\\u3058\\u3083\\u3093\\nif any(i%c for i in A):\\n    print(0);return\\nx=m//p\\n#print(p//c)\\nif x%2==0:\\n    print(x//2)\\nelse:\\n    print(x//2+1)\", \"def gcd(a, b):\\n    if b == 0:\\n        return a\\n    r = a % b   \\n    return gcd(b, r)\\n\\ndef lcm(a, b):\\n    x = gcd(a, b)\\n    return a * b // x\\n\\ndef gcdN(a):\\n    x = a[0]\\n    for i in range(1, len(a)):\\n        x = gcd(x, a[i])\\n    return x\\n\\ndef lcmN(a):\\n    x = a[0]\\n    for i in range(1, len(a)):\\n        x = lcm(x, a[i])\\n    return x\\n\\n\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))  #;print(a)\\n\\ng = gcdN(a)\\nfor i in a:\\n    if (i//g) % 2 == 0:\\n        print((0))\\n        break\\nelse:\\n    l = lcmN(a) \\n    k = 2*m // l\\n    print(((k+1)//2))\\n\", \"from math import gcd, ceil\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\na = [i // 2 for i in a]\\nl = 1\\nfor i in a:\\n    l *= i // gcd(l, i)\\nfor i in a:\\n    if l // i % 2 == 0:\\n        print((0))\\n        return\\n#print(ceil((m // l) / 2))\\nprint(((m//l+1)//2))\\n\", \"n,m=list(map(int,input().split()))\\na=list(map(int,input().split()))\\n\\nfor i in range(n):\\n  a[i]=a[i]//2\\n  \\ndef gcd(a,b):\\n  if b==0:\\n    return a\\n  else:\\n    return gcd(b,a%b)\\n  \\ndef lcm(a,b):\\n  return a*b//gcd(a,b)\\n\\ndef check(x):\\n  cnt=0\\n  while(1):\\n    if x%2==0:\\n      x=x//2\\n      cnt+=1\\n    else:\\n      break\\n  return cnt\\n\\ncnt=a[0]\\nfor i in range(n):\\n  cnt=lcm(cnt,a[i])\\n\\n\\nl=check(a[0])\\nfor i in range(1,n):\\n  x=check(a[i])\\n  if x!=l:\\n    print((0))\\n    return\\n\\n\\ns=m//cnt\\nif s%2==0:\\n  print((s//2))\\nelse:\\n  print((s//2+1))\\n\\n  \\n\", \"from math import gcd\\nN, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\nlcm = 1\\nfor a in A:\\n    lcm = lcm * a // gcd(lcm, a)\\n    if lcm > M*2:\\n        print((0))\\n        return\\nfor a in A:\\n    if lcm // a % 2 == 0:\\n        print((0))\\n        return\\nans = M // (lcm//2) - M // lcm\\nprint(ans)\\n\", \"from math import gcd\\ndef lcm(x,y):\\n    return x*y//gcd(x,y)\\ndef cnt(x):\\n    i = 0\\n    while x%2 == 0:\\n        x = x//2\\n        i += 1\\n    return i \\nn,m = map(int,input().split())\\na = list(map(int,input().split()))\\nmemo = cnt(a[0])\\nfor i in range(n):\\n    if cnt(a[i]) != memo:\\n        print(0)\\n        return\\n    a[i] = a[i]//2\\n\\nt = 1\\nfor i in range(n):\\n    t = lcm(t,a[i])\\nprint(m//t-m//(2*t))\", \"import math\\nimport numpy as np\\nN,M=map(int,input().split())\\nA=list(map(int,input().split()))\\nc=1\\ntest=A[0]\\nl=0\\n\\nwhile test%2 == 0:\\n  test=test//2\\n  c*=2\\n  \\nfor i in np.arange(N-1):\\n  if A[i+1]%c!=0:\\n    print(0)\\n    l=1\\n    break\\n  elif A[i+1]%(c*2)==0:\\n    print(0)\\n    l=1\\n    break\\n  else:\\n    k=A[i+1]//c\\n    test=test*k//math.gcd(test,k)\\nif l==0:\\n  k=test*c//2\\n  print(M//k//2+M//k%2)\", \"# \\u53c2\\u8003 : https://at274.hatenablog.com/entry/2020/01/15/060000\\nfrom functools import reduce\\nimport math\\n\\n\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\ndef lcm_list(numbers):  # \\u30ea\\u30b9\\u30c8\\u3092\\u6295\\u3052\\u308b\\u3068\\u5168\\u8981\\u7d20\\u306elcm\\u304c\\u8fd4\\u3063\\u3066\\u304f\\u308b\\n    return reduce(lcm, numbers, 1)\\n\\n\\nN, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\n\\n# \\u6700\\u521d\\u3001A\\u306e\\u8981\\u7d20\\u306f\\u5168\\u3066\\u5076\\u6570\\u30022\\u3067\\u5272\\u3063\\u305f\\u3082\\u306e\\u306b\\u7f6e\\u304d\\u63db\\u3048\\nA = [a // 2 for a in A]\\n\\n# \\u5168\\u3066\\u306e\\u8981\\u7d20\\u306b\\u3064\\u3044\\u3066\\u3001\\uff12\\u3067\\u5272\\u308c\\u308b\\u56de\\u6570\\u304c\\u540c\\u3058\\u3067\\u306a\\u3044\\u3068\\u984c\\u610f\\u306f\\u6e80\\u305f\\u305b\\u306a\\u3044\\ncount_div_2 = None\\nfor a in A:\\n    cnt = 0\\n    while a % 2 == 0:\\n        a //= 2\\n        cnt += 1\\n    # 1\\u500b\\u76ee\\u306f\\u7121\\u6761\\u4ef6\\u3067\\u4fdd\\u5b58\\n    if count_div_2 is None:\\n        count_div_2 = cnt\\n    # 2\\u500b\\u76ee\\u304b\\u3089\\u30c1\\u30a7\\u30c3\\u30af\\n    elif cnt != count_div_2:\\n        print((0))\\n        return\\n\\n# my_lcm = A\\u306e\\u5168\\u8981\\u7d20\\u306e\\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3002\\u3000\\u3053\\u306e\\u5947\\u6570\\u500d\\u304c\\u984c\\u610f\\u3092\\u6e80\\u305f\\u3059\\u3002\\n# my_lcm\\u304cM\\u3092\\u8d85\\u3048\\u3066\\u3044\\u305f\\u30891\\u3064\\u3082\\u4f5c\\u308c\\u306a\\u3044\\nmy_lcm = lcm_list(A)\\nif my_lcm > M:\\n    print((0))\\n    return\\n\\ntmp = M // my_lcm\\n# my_lcm\\u306e1,2,...M\\u500d\\u307e\\u3067\\u4f7f\\u3048\\u308b\\u304c\\u3001\\u5076\\u6570\\u306f\\u4f7f\\u3048\\u306a\\u3044\\n# tmp=1or2\\u306a\\u30891\\u500b, 3or4\\u306a\\u30892\\u500b, 5or6\\u306a\\u30893\\u500b,...\\nans = (tmp + 1) // 2\\nprint(ans)\\n\", \"import math\\nimport collections\\nimport sys\\n\\ninput = sys.stdin.readline\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\n\\nn,m=MI()\\nA=LI()\\ndef num2(x):\\n    ans=0\\n    while x%2==0:\\n        x=x//2\\n        ans+=1\\n    return ans\\nmod=2**(num2(A[0]))\\nfor i in range(1,n):\\n    if A[i]%mod!=0:\\n        print((0))\\n        return\\n    if A[i]%mod==0 and (A[i]//mod)%2==0:\\n        print((0))\\n        return\\n#print(A)\\nfor i in range(n):\\n    A[i]//=2\\n#print(A)\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\ndef lcm(a, b):\\n    return a // gcd(a, b) * b\\n\\nL=A[0]   \\nfor i in range(1,n):\\n    L=lcm(L,A[i])\\n#print(L)\\nif L>m:\\n    an=0\\nelse:\\n    an=int(((m/L)-1)/2)+1\\nprint(an)\\n\", \"import math\\n\\ndef lcm(a, b):\\n  return a*b//math.gcd(a, b)\\n\\ndef f(num):\\n  cnt = 0\\n  while num % 2 == 0:\\n    num = num // 2\\n    cnt += 1\\n  return cnt\\n\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\n\\nfor i in range(n):\\n  a[i] = a[i] // 2\\n\\nt = f(a[0])\\nfor i in range(n):\\n  if f(a[i]) != t:\\n    print(0)\\n    return\\n  a[i] = a[i] >> t\\nm = m >> t\\nl = 1\\nfor i in range(n):\\n  l = lcm(l, a[i])\\n  if l > m:\\n    print(0)\\n    return\\n\\nm = m // l\\nprint((m+1)//2)\", \"import math\\nfrom functools import reduce\\n\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\n\\ndef my_round(val, digit=0):\\n    p = 10 ** digit\\n    return (val * p * 2 + 1) // 2 / p\\n\\n\\nn, m = list(map(int, input().split()))\\na_pr = [i // 2 for i in list(map(int, input().split()))]\\nlcm_ = lcm_list(a_pr)\\nres, div2 = 0, None\\nfor ai in a_pr:\\n    cnt = 0\\n    while ai % 2 == 0:\\n        ai //= 2\\n        cnt += 1\\n    if div2 is None:\\n        div2 = cnt\\n    elif cnt != div2:\\n        print((0))\\n        return\\n\\nprint((int(my_round(m // lcm_ / 2))))\\n\", \"from math import gcd, ceil\\nfrom functools import reduce\\nimport sys\\n\\ndef lcm_base(x, y):\\n    return (x * y) // gcd(x, y)\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nN, M = map(int, input().split())\\na = [int(i)//2 for i in input().split()]\\n\\ns = set()\\nfor x in a:\\n    cur = 0\\n    y = x\\n    while y%2 == 0:\\n        cur += 1\\n        y //= 2\\n    s.add(cur)\\n    if len(s) >= 2:\\n        print(0)\\n        return\\nlcm = lcm_list(a)\\nprint((M//lcm+1)//2)\", \"from math import gcd, ceil\\n\\n\\ndef lcm(a, b):\\n    return (a*b)//gcd(a, b)\\n\\n\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    a[i] = a[i]//2\\n\\nlcm_v = a[0]\\nfor i in range(1, n):\\n    lcm_v = lcm(lcm_v, a[i])\\n\\nok = True\\nfor aa in a:\\n    if (lcm_v//aa) % 2 != 1:\\n        ok = False\\n        break\\nans = 0\\nif ok:\\n    ans = ((m//lcm_v)+1)//2\\nprint(ans)\\n\", \"from collections import deque,defaultdict\\ndef gcd(a,b):\\n    return b if not a%b else gcd(b,a%b)\\ndef lcm(a,b):\\n    return (a*b)//gcd(a,b)\\nn,m=list(map(int, input().split()))\\nA=[int(i) for i in input().split()]\\ntmp = A[0]\\nfor i in range(1,n):\\n    tmp = lcm(tmp,A[i])\\nans = m//tmp\\nlis = set()\\nfor i in A:\\n    r = i\\n    k=0\\n    while(r%2==0):\\n        k+=1\\n        r//=2\\n    lis.add(k)\\nif(m//(tmp)*tmp+tmp//2<=m):\\n    ans += 1\\nif(len(lis)!=1):\\n    ans=0\\n\\nprint(ans)\\n\\n\", \"import math\\nfrom decimal import Decimal, ROUND_HALF_UP\\ndef lcm(a):\\n    x = a[0]\\n    for i in range(1, len(a)):\\n        x = (x * a[i]) // math.gcd(x, a[i])\\n    return x\\ndef gcd(a):\\n  temp = math.gcd(a[0], a[1])\\n  for i in a:\\n    temp = math.gcd(temp,  i)\\n  return temp\\nn,m = map(int, input().split(\\\" \\\"))\\na = list(map(int, input().split(\\\" \\\")))\\nzero = False\\ncount = 0\\n#a = list(map(lambda x: x // 2, na))\\nmini = lcm(a)\\nif len(a) != 1:\\n  maxi = gcd(a)\\nelse:\\n  maxi = a[0]\\nmaxi2 = maxi\\nnibai = 1\\nwhile(True):\\n  if maxi2 % 2 == 0:\\n    nibai *= 2\\n    maxi2 //= 2\\n  else:\\n    break\\nfor i in a:\\n  if i % (2 * nibai) == 0:\\n    zero = True\\n    break\\n#print(nibai, maxi, mini)\\nif not zero:\\n  t = Decimal(str((m * 2 // mini) / 2))\\n  #print(t)\\n  print(t.quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nelse:\\n  print(0)\", \"from math import gcd\\nimport sys\\n\\ndef lcm(x,y):\\n    return x*y//gcd(x,y)\\n\\ndef count(x):\\n    res=0\\n    while True:\\n        if x%2==0:\\n            res+=1\\n            x//=2\\n        else:\\n            break\\n    return res\\n\\nn,m=list(map(int,input().split()))\\nA=list(map(int,input().split()))\\nA=list(set(A))\\nn=len(A)\\n\\nA.sort(reverse=True)\\n\\ntemp=A[0]\\nfor i in range(1,n):\\n    if count(A[i])!=count(temp):\\n        print((0))\\n        return\\n    else:\\n        temp=lcm(temp,A[i])\\n\\nans=m//(temp//2)-m//temp\\nprint(ans)\\n\", \"import math\\nimport fractions\\nfrom functools import reduce\\n\\nn, m = map(int,input().split())\\na = list(map(int,input().split()))\\na = [t // 2 for t in a]#\\u30ea\\u30b9\\u30c8\\u306e\\u8981\\u7d20\\u3059\\u3079\\u3066\\u30922\\u3067\\u5272\\u308b\\n\\ndef lcm_base(x, y):\\n    return (x * y)//fractions.gcd(x,y)\\n\\ndef lcm_list(numbers): #\\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3092\\u6c42\\u3081\\u308b\\n    return reduce(lcm_base, numbers, 1)\\n\\ndef num_dev2(x):\\n    return bin(x)[::-1].find(\\\"1\\\") #\\uff12\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\u3092\\u78ba\\u8a8d\\n\\nlcm = lcm_list(a)\\nq = m//lcm #m\\u306f\\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3067\\u4f55\\u56de\\u5272\\u308c\\u308b\\u304b\\n\\ncount = 0\\ndev2 = num_dev2(a[0])\\nfor i in range(1,n):\\n    if dev2 != num_dev2(a[i]):#\\u30ea\\u30b9\\u30c8\\u306e\\u3059\\u3079\\u3066\\u306e\\u8981\\u7d20\\u306e\\uff12\\u3067\\u5272\\u308c\\u308b\\u56de\\u6570\\u306f\\u7b49\\u3057\\u3044\\u304b\\n        count += 1\\n        break\\nif count != 0:\\n    print(0)\\nelse:\\n    print(math.ceil(q/2))\", \"from math import gcd\\n\\ndef lcm(a, b):\\n    return a // gcd(a, b) * b \\n\\nN, M = map(int, input().split())\\nAs = list(map(int, input().split()))\\n\\nrightmostbit = As[0] & -As[0]\\nfor A in As[1:]:\\n    if rightmostbit != A & -A:\\n        print(0)\\n        return \\n\\n\\nlcm_of_half_As = 1\\nfor A in As:\\n    lcm_of_half_As = lcm(lcm_of_half_As, A //  2)\\n    if lcm_of_half_As > M:\\n        break\\n\\nprint((M // lcm_of_half_As + 1) // 2)\", \"import sys\\nimport numpy as np\\ndef input(): return sys.stdin.readline().rstrip()\\n\\ndef kosuu(x):\\n    re = [0,0]\\n    while x % 2 == 0:\\n        x = x//2\\n        re[1]+=1\\n    re[0]=x\\n    return re\\n\\n        \\n \\ndef main():\\n    n,m=map(int, input().split())\\n    a=list(map(int, input().split()))\\n    li = [kosuu(a[0])[0]]\\n    hantei = kosuu(a[0])[1]\\n    for i in a[1:]:\\n        hantei2 = kosuu(i)\\n        if hantei2[1] != hantei:\\n            print(0)\\n            break\\n        else:\\n            li.append(hantei2[0])\\n    else:\\n        lc = np.lcm.reduce(li)\\n        print(((m//(lc*2**(hantei-1)))+1)//2)\\n            \\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nimport sys\\nfrom functools import reduce\\n\\nN, M = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\nfor i in range(N):\\n  A[i] = A[i] // 2\\n  \\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n  \\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nC = lcm_list(A)\\nB = [0 for _ in range(N)]\\n\\nfor i in range(N):\\n  B[i] = C // A[i]\\n  if B[i] % 2 == 0:\\n    print(0)\\n    return\\n\\nprint( (M // C + 1) // 2)\", \"import math\\nfrom functools import reduce\\n\\nn,m = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\ndef lcm_base(x,y):\\n  return x*y//math.gcd(x,y)\\n\\ndef lcm(target_list):\\n  return reduce(lcm_base, target_list)\\n\\nA_gcd = reduce(math.gcd, A)\\nflg = True\\n\\nfor a in A:\\n  if a//A_gcd%2==0:\\n    flg = False\\n    break\\n    \\nif flg:\\n  min_x = int(lcm(A))//2\\n  ans = m//min_x - m//(2*min_x)\\n  print(ans)\\nelse:\\n  print(0)\", \"from math import gcd\\nfrom functools import reduce\\nimport sys\\ninput = sys.stdin.readline\\n\\n\\ndef lcm(a, b):\\n    return a*b // gcd(a, b)\\n\\n\\ndef count_factor_2(num):\\n    count = 0\\n    while num % 2 == 0:\\n        num //= 2\\n        count += 1\\n    return count\\n\\n\\ndef main():\\n    n, m = list(map(int, input().split()))\\n    A = list([int(x)//2 for x in input().split()])\\n\\n    check = len(set(map(count_factor_2, A)))\\n    if check != 1:\\n        print((0))\\n        return\\n\\n    lcm_a = reduce(lcm, A)\\n    step = lcm_a * 2\\n    ans = (m + lcm_a) // step\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\"]",
        "difficulty": "interview",
        "input": "3 100\n14 22 40\n",
        "output": "0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc150/tasks/abc150_d"
    },
    {
        "id": 254,
        "task_id": 2498,
        "test_case_id": 3,
        "question": "Given are a sequence A= {a_1,a_2,......a_N} of N positive even numbers, and an integer M.\nLet a semi-common multiple of A be a positive integer X that satisfies the following condition for every k (1 \\leq k \\leq N):\n - There exists a non-negative integer p such that X= a_k \\times (p+0.5).\nFind the number of semi-common multiples of A among the integers between 1 and M (inclusive).\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^5\n - 1 \\leq M \\leq 10^9\n - 2 \\leq a_i \\leq 10^9\n - a_i is an even number.\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN M\na_1 a_2 ... a_N\n\n-----Output-----\nPrint the number of semi-common multiples of A among the integers between 1 and M (inclusive).\n\n-----Sample Input-----\n2 50\n6 10\n\n-----Sample Output-----\n2\n\n - 15 = 6  \\times 2.5 \n - 15 = 10 \\times 1.5 \n - 45 = 6  \\times 7.5 \n - 45 = 10 \\times 4.5 \nThus, 15 and 45 are semi-common multiples of A. There are no other semi-common multiples of A between 1 and 50, so the answer is 2.",
        "solutions": "[\"n, m = map( int, input().split() )\\na = list( map( int, input().split() ) )\\n\\ndef f( a_k ): # 2\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\n    count = 0\\n    while a_k % 2 == 0:\\n        count += 1\\n        a_k = a_k // 2\\n    return count\\n\\nb = []\\nf_0 = f( a[ 0 ] )\\nfor a_k in a:\\n    f_k = f( a_k )\\n    if f_k != f_0:\\n        print( 0 )\\n        return\\n    b.append( a_k // pow( 2, f_k ) )\\n\\nimport math\\ndef lcm( x, y ):\\n    return x * y // math.gcd( x, y )\\n\\nb_lcm = 1\\nfor b_k in b:\\n    b_lcm = lcm( b_lcm, b_k )\\n\\na_lcm = b_lcm * pow( 2, f_0 )\\n# print( b_lcm, f_0, b )\\nprint( ( m + a_lcm // 2 ) // a_lcm )\", \"from functools import reduce\\n\\nN, M = list(map(int, input().split()))\\nAs = list(map(int, input().split()))\\n\\nBs = [A//2 for A in As]\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a%b\\n    return a\\ndef lcm(a, b):\\n    return a // gcd(a, b) * b\\n\\nnums = []\\nfor B in Bs:\\n    num = 0\\n    while B%2 == 0:\\n        B //= 2\\n        num += 1\\n    nums.append(num)\\n\\nif len(set(nums)) != 1:\\n    ans = 0\\nelse:\\n    L = reduce(lcm, Bs)\\n    ans = M//L - M//(2*L)\\n\\nprint(ans)\\n\", \"import math\\n\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\nb = {}\\nfor i in range(n):\\n    count = 0\\n    temp = a[i]\\n    while temp % 2 == 0:\\n        count += 1\\n        temp //= 2\\n    b.setdefault(count, 0)\\n    b[count] += 1\\nif len(b.keys()) >= 2:\\n    ans = 0\\nelse:\\n    temp = 1\\n    for i in range(n):\\n        temp = temp * a[i] // math.gcd(temp, a[i])\\n    temp2 = temp // 2\\n    ans = m // temp2 - m // temp\\nprint(ans)\", \"import numpy as np\\nimport sys\\n\\ndef main():\\n    N,M=list(map(int,input().split()))\\n    A=list(map(int,input().split()))\\n    A_double=list([x//2 for x in A])\\n\\n    mini_multi=int(np.lcm.reduce(A_double))\\n\\n    res=M//mini_multi\\n    \\n    for i in A_double:\\n        if (mini_multi//i)%2==0:\\n            print((0))\\n            return\\n\\n    if res%2!=0:\\n        res+=1\\n\\n\\n    print((res//2))\\n\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"# ABC150D\\n\\nimport sys\\ninput=sys.stdin.readline\\nfrom math import gcd,ceil\\n\\ndef main():\\n    N,M=list(map(int,input().split()))\\n    A=list([int(x)//2 for x in input().split()])\\n    lcm=A[0]\\n    for i in range(1,N):\\n        lcm=lcm*A[i]//gcd(lcm,A[i])\\n    allo=1\\n    for i in range(N):\\n        allo&=(lcm//A[i])%2\\n    if allo:\\n        print((ceil(int(M//lcm)/2)))\\n    else:\\n        print((0))\\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import sys\\nfrom math import gcd\\nfrom copy import deepcopy\\n\\nsys.setrecursionlimit(10 ** 7)\\ninput = sys.stdin.readline\\nf_inf = float('inf')\\nmod = 10 ** 9 + 7\\n\\n\\ndef lcm(a, b):\\n    return a * b // gcd(a, b)\\n\\n\\ndef resolve():\\n    n, m = list(map(int, input().split()))\\n    A = list(map(int, input().split()))\\n\\n    A_ = deepcopy(A)\\n    cnt = [0] * n\\n    for i in range(n):\\n        while A_[i] % 2 == 0:\\n            A_[i] //= 2\\n            cnt[i] += 1\\n        if i != 0 and cnt[i] != cnt[i - 1]:\\n            print((0))\\n            return\\n\\n    L = 1\\n    for a in A:\\n        L = lcm(L, a // 2)\\n\\n    res = m // L - (m // (L * 2))\\n    print(res)\\n\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"from math import gcd\\ndef lcm(a,b):return (a*b)//(gcd(a,b))\\n\\ndef f(x):\\n    cnt=0\\n    while(x%2==0):\\n        cnt+=1\\n        x=x//2\\n    return cnt\\n\\nn,m=map(int,input().split())\\na=list(map(int,input().split()))\\na=list(map(lambda x: x//2,a))\\n\\nt=f(a[0])\\nfor i in range(n):\\n    if(f(a[i])!=t):\\n        print(0)\\n        return\\n    a[i]=a[i]//(2**t)\\nm=m//(2**t)\\nl=1\\nfor i in range(n):\\n    l=lcm(l,a[i])\\n    if(l>m):\\n        print(0)\\n        return\\nm=m//l\\nprint((m+1)//2)\", \"import math\\n\\nn,m=list(map(int,input().split()))\\na=list(map(int,input().split()))\\n\\nif n==1:\\n  a1=a[0]//2\\n  ans_m=m//a1\\n  if ans_m==0:\\n    print((0))\\n  else:\\n    print(((ans_m-1)//2+1))\\n  \\nelse:\\n  x=a[0]\\n  ch=0\\n  ch1=0\\n  while x%2==0:\\n    x=x//2\\n    ch+=1\\n  dob=2**ch\\n  for i in a:\\n    if i%dob==0 and i%(dob*2)!=0:\\n      ch1+=1\\n  if ch1!=n:\\n    print((0))\\n  else:\\n    ans=a[0]//2\\n    for j in range(1,n):\\n      ans=(ans*(a[j]//2))//math.gcd(ans,a[j]//2)\\n    ans_m=m//ans\\n    if ans_m==0:\\n      print((0))\\n    else:\\n      print(((ans_m-1)//2+1))\\n    \\n      \\n\", \"from math import gcd, ceil\\nN,M = map(int,input().split())\\nA = list(map(int,input().split()))\\nA = [a//2 for a in A]\\nB = 1\\n\\nfor a in A:\\n  B*=a//gcd(B,a)\\n  \\nfor a in A:\\n  if B//a%2==0:\\n    print(0)\\n    return\\n\\nprint(ceil((M//B)/2))\", \"def solve():\\n    import math\\n    N,M = [int(i) for i in input().split()]\\n    A = list(map(int, input().split()))\\n\\n    lcm = A[0]\\n    for i in range(1, N):\\n        lcm = lcm * A[i] // math.gcd(lcm, A[i])\\n    first = lcm // 2\\n\\n    ans_exists = True\\n    for i in range(N):\\n        if first % A[i] == 0:\\n            ans_exists = False\\n\\n    if ans_exists:\\n        ans = int((M-first) // lcm + 1)\\n        print(ans)\\n    else:\\n        print('0')\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nCreated on Wed Sep  9 14:33:00 2020\\n\\n@author: liang\\n\\\"\\\"\\\"\\nfrom math import gcd\\n\\nN, M = map(int, input().split())\\nA = [int(i) for i in input().split()]\\n\\nflag = False\\nres = 1\\nfor a in A:\\n    a //= 2\\n    res *= a//gcd(res,a)\\n    if res > M:\\n        flag = True\\n        break\\n    #print(res)\\n\\\"\\\"\\\"\\n\\u5b58\\u5728\\u30c1\\u30a7\\u30c3\\u30af\\n\\uff12\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u500b\\u6570\\u540c\\u3058\\uff1f\\n\\\"\\\"\\\"\\n\\nfor a in A:\\n    if int(res/a) == res/a:\\n        flag = True\\n        \\nif flag:\\n    ans = 0\\n    print(ans)\\nelse:\\n    #ans = (M - res(A)//2)//res + 1\\n    #ans = (M-1)//res//2 + 1\\n    ans= (M//res + 1)//2\\n    print(ans)\", \"import math\\n\\nN, M = map(int,input().split())\\nA = list(map(int,input().split()))\\n\\npow2 = 0\\nwhile A[0] % 2 == 0:\\n    A[0] //= 2\\n    pow2 += 1\\n\\nfor i in range(1,N):\\n    cnt = 0\\n    while A[i] % 2 == 0:\\n        A[i] //= 2\\n        cnt += 1\\n    if cnt != pow2:\\n        print(0)\\n        return\\n\\nLCM = 2**max(0,pow2-1)\\nfor i in range(N):\\n    LCM = LCM * A[i] // math.gcd(LCM,A[i])\\n\\nans = M // LCM\\nprint((ans+1)//2)\", \"from math import gcd\\nfrom functools import reduce\\nimport sys\\ninput = sys.stdin.readline\\n\\n\\ndef lcm(a, b):\\n    return a*b // gcd(a, b)\\n\\n\\ndef count_factor_2(num):\\n    count = 0\\n    while num % 2 == 0:\\n        num //= 2\\n        count += 1\\n    return count\\n\\n\\ndef main():\\n    n, m = list(map(int, input().split()))\\n    A = list([x//2 for x in set(map(int, input().split()))])\\n\\n    check = len(set(map(count_factor_2, A)))\\n    if check != 1:\\n        print((0))\\n        return\\n\\n    lcm_a = reduce(lcm, A)\\n    step = lcm_a * 2\\n    ans = (m + lcm_a) // step\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N, M = map(int, input().split())\\nA = list(map(lambda x: int(x)//2, input().split()))\\n\\nimport math\\n\\ndef lcm(x, y):\\n  return (x // math.gcd(x, y)) * y\\n\\ndef pow2(x):\\n  ret = 0\\n  while x%2 == 0:\\n    ret += 1\\n    x //= 2\\n  return ret\\n\\nP = []\\nfor a in A:\\n  P.append(pow2(a))\\n\\nif len(set(P)) != 1:\\n  print(0)\\nelse:\\n  m = 1\\n  for a in A:\\n    m = lcm(m, a)\\n  print(-(-(M//m)//2))\", \"def GCM(x, y):\\n  if x%y==0:\\n    return y\\n  else:\\n    return GCM(y, x%y)\\n\\nN, M = map(int, input().split())\\n\\nA = list(map(int, input().split()))\\n\\ncount2 = [0 for i in range(N)]\\nfor i in range(N):\\n  a = A[i]\\n  while a%2==0:\\n    count2[i] += 1\\n    a = a//2\\n  A[i] = a\\nif sum(count2) == count2[0]*N:\\n  count2 = count2[0]\\n  buf = 1\\n  for i in range(N):\\n    buf = A[i]*buf//GCM(buf, A[i])\\n  buf *= 2**(count2-1)\\n  #print(buf)\\n  n = M//buf\\n  print((n+1)//2)\\n  \\nelse:\\n  print(0)\", \"import fractions\\nimport math\\nfrom functools import reduce\\n\\ndef lcm_base(x, y):\\n    return (x * y) // fractions.gcd(x, y)\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nn,m=map(int,input().split())\\na=list(map(int,input().split()))\\nb=lcm_list(map(lambda x: x//2, a))\\nswt=0\\n\\nfor i in range(n):\\n  if 0==(b//(a[i]//2))%2:\\n    swt=1\\n    break\\n\\nif 0==swt:\\n  print(math.ceil((m//b)/2))\\nelse:\\n  print(0)\", \"import math\\nimport numpy as np\\nN,M=map(int,input().split())\\nA=list(map(int,input().split()))\\nc=1\\ntest=A[0]\\nl=0\\n\\nwhile test%2 == 0:\\n  test=test//2\\n  c*=2\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n  \\nfor i in np.arange(N-1):\\n  if A[i+1]%c!=0:\\n    print(0)\\n    l=1\\n    break\\n  elif A[i+1]%(c*2)==0:\\n    print(0)\\n    l=1\\n    break\\n  else:\\n    k=A[i+1]//c\\n    test=lcm_base(test, k)\\nif l==0:\\n  k=test*c//2\\n  print(M//k//2 + M//k%2)\", \"from math import gcd\\n\\nN, M = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\nmemo = {}\\n\\ndef lcm(a,b):\\n    return a//gcd(a,b)*b\\n\\nb = 1\\n\\nfor a in A:\\n    b = lcm(a//2, b)\\n    if b > M:\\n        break\\n\\nif any([2 * b // a % 2 == 0 for a in A]):\\n    print(0)\\nelse:\\n    ans = M // b\\n    print(ans - ans // 2)\", \"import copy\\n# from math import gcd\\n\\n\\ndef gcd(a, b):\\n    if b == 0:\\n        return a\\n    else:\\n        return gcd(b, a%b)\\n\\ndef lcm(a, b):\\n    return (a // gcd(a, b)) * b\\ndef main():\\n    n, m = map(int, input().split())\\n    A = set([int(x) for x in input().split()])\\n    a_lcm = 1\\n    for a in A:\\n        a_lcm = lcm(a_lcm, a)\\n        # m\\u304clcm\\u306e\\u534a\\u5206\\u3088\\u308a\\u3082\\u5c0f\\u3055\\u304b\\u3063\\u305f\\u30890\\n        if (a_lcm / 2) > m:\\n            print(0)\\n            return\\n    for a in A:\\n        if (a_lcm / 2) % a == 0:\\n            print(0)\\n            return\\n    # # \\u3042\\u3068\\u306f\\u5b9a\\u6570\\u500d\\u306e\\u6570\\u8abf\\u3079\\u3066\\u7d42\\u308f\\u308a\\n    ans = int((m - (a_lcm / 2)) // a_lcm) + 1\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"from math import gcd\\ndef lcm(a,b):\\n    return a//gcd(a,b)*b\\ndef lcm(ab):\\n    l=len(ab)\\n    ret=ab[0]\\n    for i in range(1,l):\\n        ret=ret//gcd(ab[i],ret)*ab[i]\\n    return ret\\ndef count2(a):\\n    ret=0\\n    while a%2==0:\\n        a//=2\\n        ret+=1\\n    return 2**ret\\nn,m=map(int,input().split())\\nA=list(map(int,input().split()))\\n#\\u3053\\u308c\\u306f\\u3044\\u3089\\u306a\\u3044\\u3067\\u3059\\nif any(i%2 for i in A):\\n    print(0);return\\nA=[i//2 for i in A]\\n#\\u5168\\u4f53\\u306e\\u6700\\u5c0f\\u516c\\u500d\\u6570\\np=lcm(A)\\nc=count2(p)\\n#2\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\u304c\\u540c\\u3058\\u3067\\u306a\\u3044\\u3082\\u306e\\u304c\\u3042\\u308b\\u5834\\u5408\\nif any(i%c for i in A):\\n    print(0);return\\nx=m//p\\n#print(p//c)\\nprint(-(-x//2))\", \"from math import gcd\\n\\nn, m = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\nA = [a//2 for a in  A]\\nlcm = 1\\n\\nfor i in range(n):\\n    lcm = lcm * A[i] // gcd(lcm, A[i])\\n    if lcm > m:\\n        print((0))\\n        return\\n        \\nfor a in A:\\n    if lcm // a % 2 == 0:\\n        print((0))\\n        return\\n\\nprint(((m//lcm + 1) // 2))\\n\", \"from fractions import gcd\\n\\ndef lcm_base(x, y):\\n    return (x * y) // gcd(x, y)\\ndef lcm(numbers):\\n    x = numbers[0]\\n    for y in numbers:\\n        x = lcm_base(x, y)\\n    return x\\n\\nN, M = list(map(int, input().split()))\\naaa = list(map(int, input().split()))\\na = aaa[0]\\ncnt = 0\\nwhile a % 2 == 0:\\n    cnt += 1\\n    a //= 2\\nfor a in aaa:\\n    if a % 2 ** cnt != 0 or a % 2 ** (cnt + 1) == 0:\\n        print((0))\\n        return        \\nbbb = [a // 2 for a in aaa]\\nlc = lcm(bbb)\\nq, r = divmod(M // lc , 2)\\nprint((q + r))\\n\", \"N, M = map(int, input().split())\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print(0)\\n    return\\nans = 0\\n\\nfor odd in [3, 5, 7, 11]:\\n  flag = False\\n  for k in range(N):\\n    if a[k]%odd == 0:\\n      a[k] //= odd\\n      flag = True\\n  if flag:\\n    foo *= odd\\n \\n \\nimport math\\n\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // math.gcd(lcm, b)\\n  if lcm* foo > M:\\n    print(0)\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\", \"import math\\nfrom functools import reduce\\nn, m = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\na0 = A[0]\\ncnt = 0\\nwhile a0%2 == 0:\\n    a0 //= 2\\n    cnt += 1\\n\\na = []\\nfor aa in A:\\n    if cnt == 1:\\n        if aa%4 == 0:\\n            print(0)\\n            return\\n    else:\\n        if aa%(2**(cnt-1)) != 0 or aa%(2**cnt) != 0 or aa%(2**(cnt+1)) == 0:\\n            print(0)\\n            return\\n    a.append(aa//2)\\n\\n\\ndef lcm_base(p, q):\\n    return (p * q) // math.gcd(p, q)\\n\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\n\\nlcm = lcm_list(a)\\nprint(m//lcm - m//(lcm*2))\", \"def main():\\n    import math\\n    n,m = list(map(int,input().split()))\\n    a = sorted(list(map(int,input().split())))\\n    for i in range(n):\\n        a[i] //= 2\\n    g=1\\n    for i in range(n):\\n        g = a[i] * g // math.gcd(g,a[i])\\n    for i in range(n):\\n        if g//a[i] % 2 == 0:\\n            print((0))\\n            return\\n    if g>m:\\n        print((0))\\n        return\\n    print((1 + (m-g)//(2*g)))\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nfrom functools import reduce\\nn, m = input().split()\\na = list(map(int, input().split()))\\nb =[0]*int(n)\\nfor i in range(len(a)):\\n  b[i] = a[i]//2\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\nc = 0\\n\\nx = lcm_list(b)\\nfor i in range(int(n)):\\n  if (x // b[i]) % 2 == 0:\\n    c = -1\\n    break\\n  else:\\n    continue\\n    \\nif c == -1:\\n  print((0))\\nelse:\\n  print((math.floor(((int(m)/x)+1)/2)))\\n\\n\", \"N, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\n\\nfrom fractions import gcd\\ndef two(n):\\n    ans = 0\\n    while n%2==0:\\n        n //= 2\\n        ans += 1\\n    return ans\\n\\ndef multi_lcm(A):\\n    ans = A[0]\\n    for a in A:\\n        ans *= a//gcd(ans,a)\\n    return ans\\n\\ndef solve(N,M,A):\\n    ans = 0\\n    num_two = len(set(map(two,A)))\\n    if num_two != 1:\\n        return 0\\n    l = multi_lcm(A)\\n    ans = (M+l//2)//l\\n    return ans\\nprint((solve(N,M,A)))\\n\", \"from math import gcd\\n\\nN, M = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\nf = lambda n: 0 if n%2 else f(n>>1)+1\\nx = f(A[0])\\n\\nif sum(x!=f(a) for a in A):\\n    print(0)\\n    return\\n\\nA = [a>>x for a in A]\\n\\ny = 1\\nfor a in A:\\n    y = y*a//gcd(y, a)\\n    if y<<(x-1) > M:\\n        print(0)\\n        return\\n\\nprint((M//(y<<(x-1))+1)//2)\", \"from math import gcd\\nN, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\nA = [i // 2 for i in A]\\nlcd = 1\\nfor a in A:\\n    lcd *= a // gcd(lcd, a)\\nfor a in A:\\n    if lcd // a % 2 == 0:\\n        print((0))\\n        return\\nprint(((M//lcd+1)//2))\\n\", \"N, M = list(map(int, input().split()))\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print((0))\\n    return\\nans = 0\\n\\nfor odd in [3, 5, 7, 11]:\\n  flag = False\\n  for k in range(N):\\n    if a[k]%odd == 0:\\n      a[k] //= odd\\n      flag = True\\n  if flag:\\n    foo *= odd\\n \\n \\ndef euclid(a, b):\\n  while b:\\n    a, b = b, a%b\\n  return a\\n\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // euclid(lcm, b)\\n  if lcm* foo > M:\\n    print((0))\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\\n\\n\", \"N, M = map(int, input().split())\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print(0)\\n    return\\nans = 0\\n\\nimport math\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // math.gcd(lcm, b)\\n  if lcm* foo > M:\\n    print(0)\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\", \"from math import gcd\\ndef readinput():\\n    n,m=list(map(int,input().split()))\\n    a=list(map(int,input().split()))\\n    return n,m,a\\n\\ndef lcm(a,b):\\n    return a*b//gcd(a,b)\\n\\ndef main(n,m,a):\\n    #s=set(a)\\n    #print(s)\\n    x=a[0]//2\\n    for i in range(1,n):\\n        x=lcm(x,a[i]//2)\\n    #print(x)\\n    gusubai=False\\n    kisubai=False\\n    for i in range(n):\\n        if x%a[i]!=0:\\n            gusubai=True\\n        else:\\n            kisubai=True\\n    \\n    y=m//x\\n    #print(y,x,m)\\n    if gusubai and not kisubai:\\n        ans=y//2+y%2\\n    elif gusubai and kisubai:\\n        ans=0\\n    else:\\n        ans=y\\n    return ans\\n\\ndef __starting_point():\\n    n,m,a=readinput()\\n    ans=main(n,m,a)\\n    print(ans)\\n\\n__starting_point()\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    N, M = MI()\\n    L = LI()\\n    L = [i//2 for i in L]\\n    \\n    past = L[0]\\n\\n    for i in L:\\n        past = (past // math.gcd(i, past)) * i\\n        if past > M or (past // i) % 2 == 0:\\n            print(0)\\n            return\\n    \\n    temp = M // past\\n    ans = (temp+1)//2\\n    print(ans)        \\n    \\n\\n    \\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"from fractions import gcd\\nN, M = list(map(int, input().split()))\\nA = list(map(lambda x: int(x),input().split()))\\n\\ncnt = [0 for _ in range(N)]\\nfor i in range(N):\\n  a = A[i]\\n  while a%2 == 0:\\n    a = a // 2\\n    cnt[i] += 1\\n\\nif max(cnt) > min(cnt):\\n  print(0)\\n  return\\nC = max(cnt)\\n\\nA = list(map(lambda x: x // pow(2,C), A))\\ndef gcd(a,b):\\n  if a<b:\\n    a,b = b,a\\n  while a%b > 0:\\n    a,b = b,a%b\\n  return b\\n\\ndef lcm(a,b):\\n  return a*b//gcd(a,b)\\n\\nx = A[0]\\nfor a in A[1:]:\\n  x = lcm(x,a)\\nx = x * pow(2,C-1)\\n\\nprint((M // x + 1) // 2)\", \"from math import gcd\\nfrom functools import reduce\\n\\nn,m=map(int,input().split())\\nlst=list(map(lambda x : int(x)//2,input().split()))\\ndivi=0\\nx=lst[0]\\nwhile x%2==0:\\n    x//=2\\n    divi+=1\\n\\nfor i in range(1,n):\\n    divi2=0\\n    x=lst[i]\\n    while x%2==0:\\n        x//=2\\n        divi2+=1\\n    if divi!=divi2 :\\n        print(0)\\n        return\\n\\nwork=reduce(lambda x,y: x*y//gcd(x,y),lst)\\nprint((m//work+1)//2)\", \"n, m = map(int, input().split())\\naas = set(list(map(int, input().split())))\\na = [i//2 for i in aas]\\nimport math\\nN = len(a)\\ndef n_of_twos(x):\\n    res = 0\\n    while x%(2**(res+1))==0:\\n        res += 1\\n    return res\\nif N>=2:\\n    n_of_twos_0 = n_of_twos(a[0])\\n    for i in range(1,N):\\n        if n_of_twos(a[i]) != n_of_twos_0:\\n            print(0)\\n            return\\nans = a[0]\\nfor i in range(1, N):\\n    ans = ans * a[i] // math.gcd(ans, a[i])\\nif ans > m:\\n    print(0)\\n    return\\nprint(1 + (m//ans-1)//2)\", \"from math import gcd, ceil\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\na = [i // 2 for i in a]\\nl = 1\\nfor i in a:\\n    l *= i // gcd(l, i)\\nfor i in a:\\n    if l // i % 2 == 0:\\n        print(0)\\n        return\\nprint(ceil((m // l) / 2))\", \"import queue\\nimport numpy as np\\nimport math\\n\\nN, M = map(int, input().split())\\na2 = list(map(int, input().split()))\\na = []\\nfor i in a2:\\n    a.append(i//2)\\n\\nlcm = a[0]\\n\\nfor i in a:\\n    lcm *= i // math.gcd(lcm, i)\\n\\nhasAns = True\\nfor i in a:\\n    if (lcm // i) % 2 == 0:\\n        hasAns = False\\n        break\\n\\nans = 0\\n\\nif hasAns:\\n    ans = ((M // lcm) + 1 )// 2\\n\\nprint(ans)\", \"from math import gcd\\nn,m=map(int,input().split())\\na=list(map(int,input().split()))\\na=list(set(a))\\na=list(map(lambda x: x//2, a))\\n\\ndef lcm(q):\\n  x = q[0]\\n  for i in range(1, len(q)):\\n    x = (x * q[i]) // gcd(x, q[i])\\n  return x\\n\\nlcma=lcm(a)\\nfor i in range(len(a)):\\n  if (lcma//a[i])%2==0:\\n    print(0)\\n    return\\ntemp=m//lcma\\nprint(-(-temp//2))\", \"import sys\\nimport math\\n# import bisect\\n# import numpy as np\\n# from decimal import Decimal\\n# from numba import njit, i8, u1, b1 #JIT compiler\\n# from itertools import combinations, product\\n# from collections import Counter, deque, defaultdict\\n\\n# sys.setrecursionlimit(10 ** 6)\\nMOD = 10 ** 9 + 7\\nINF = 10 ** 9\\nPI = 3.14159265358979323846\\n\\ndef read_str():      return sys.stdin.readline().strip()\\ndef read_int():      return int(sys.stdin.readline().strip())\\ndef read_ints():     return map(int, sys.stdin.readline().strip().split())\\ndef read_ints2(x):   return map(lambda num: int(num) - x, sys.stdin.readline().strip().split())\\ndef read_str_list(): return list(sys.stdin.readline().strip().split())\\ndef read_int_list(): return list(map(int, sys.stdin.readline().strip().split()))\\ndef GCD(a: int, b: int) -> int: return b if a%b==0 else GCD(b, a%b)\\ndef LCM(a: int, b: int) -> int: return (a * b) // GCD(a, b)\\n\\ndef Main():\\n    n, m = read_ints()\\n    a = read_int_list()\\n    a = [x // 2 for x in a]\\n    lcm = 1\\n    for x in a:\\n        lcm *= x // math.gcd(lcm, x)\\n    for x in a:\\n        if lcm // x % 2 == 0:\\n            print(0)\\n            return\\n    print(math.ceil((m // lcm) / 2))\\n\\ndef __starting_point():\\n    Main()\\n__starting_point()\", \"import sys\\ninput=sys.stdin.readline\\nimport math\\n\\nN,M=(int(x) for x in input().rstrip('\\\\n').split())\\nAs=[int(x) for x in input().rstrip('\\\\n').split()]\\nn = 1\\nuse2 = 0\\ncheck = 0\\nfor i in range(N):\\n  x = As[i]\\n  if i==0:\\n    while x % 2==0:\\n      use2+=1 \\n      x = x//2\\n    lcm=x\\n  else:\\n    use=0\\n    while x%2==0:\\n      x = x//2\\n      use += 1\\n    if use2 != use:\\n      check += 1\\n      break\\n    lcm=lcm*x//(math.gcd(lcm,x))\\nif check > 0:\\n  print(0)\\nelse:\\n  LCM=2**(use2-1)\\n  LCM=LCM*lcm\\n  print(((M//LCM)+1)//2)\", \"def lcm(a, b):\\n  return a // gcd(a, b) * b\\n\\ndef gcd(a, b):\\n  if(b == 0): return a\\n  else: return gcd(b, a % b)\\n\\ndef cnt(a):\\n  res = 0\\n  while(a and a % 2 == 0):\\n    a //= 2\\n    res += 1\\n  return res\\n\\nn, m = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\nl = 1\\nc = cnt(A[0])\\nfor a in A:\\n  if cnt(a) != c or c == 0:\\n    print(0)\\n    return\\n  else:\\n    l = lcm(l, a // 2)\\nd = m // l\\nprint((d + 1) // 2)\", \"from math import gcd\\nfrom functools import reduce\\n\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\n\\ndef lcm(a, b):\\n    return a*b // gcd(a,b)\\n\\na = [i//2 for i in a]\\n\\nl = reduce(lcm, a)\\n\\nif any((l//i) % 2 == 0 for i in a):\\n    print(0)\\n    return\\n\\nprint(-(-(m//l)//2))\", \"import math\\nn,m= list(map(int,input().split()))\\nal= list(map(int,input().split()))\\ntwos = set()\\nfor c in al:\\n    temp,tempc=0,c\\n    while tempc%2==0:\\n        tempc//=2\\n        temp+=1\\n    twos.add(temp)\\nif len(twos)>1:print((0))\\nelse:\\n    lcmv=al[0]\\n    for i in range(1,n):lcmv = lcmv*al[i] // math.gcd(lcmv,al[i])\\n    print((max(0,1 + (m-lcmv//2)//lcmv)))\\n\", \"from functools import reduce\\n\\ndef main():\\n  N,M=map(int,input().split())\\n  *A,=map(int,input().split())\\n\\n  A = list(set(A))\\n  N = len(A)\\n\\n  B = [A[i]//2 for i in range(N)]\\n\\n  def factorize(n):\\n      out=[]\\n      i = 2\\n      while i==2:\\n          if n%i==0:\\n              out.append(i)\\n              n //= i\\n          else:\\n              i += 1\\n          if n == 1:break\\n          if i > int(n**.5+3):\\n              out.append(n)\\n              break\\n      return out\\n\\n  ord_list=[len(factorize(B[i])) for i in range(N)]\\n\\n  if len(set(ord_list)) != 1:\\n    print(0)\\n    return\\n\\n  def gcd(a,b):\\n    if b == 0: return a\\n    return gcd(b,a%b)\\n\\n  def lcm(a,b):\\n    return a*b//gcd(a,b)\\n\\n  LCM = reduce(lcm,B)\\n  print((M//LCM+1)//2)\\n  \\ndef __starting_point():\\n  main()\\n__starting_point()\", \"from math import gcd\\ndef lcm(a, b):\\n    return a * b // gcd(a, b)\\n\\ndef lcm_g(A):\\n    ret = 1\\n    for a in A:\\n        ret = lcm(ret, a)\\n    return ret\\n\\ndef is_hcm(x, A):\\n    for i in range(N):\\n        if x % A[i] != A[i] // 2:\\n            return False\\n    return True\\n\\nN, M = [int(x) for x in input().split()]\\nA = [int(x) for x in input().split()]\\n\\nl = lcm_g(A)\\nif is_hcm(l // 2, A):\\n    ans = (2 * M + l) // (2 * l)\\nelse:\\n    ans = 0\\n\\nprint(ans)\", \"import math\\nimport fractions\\nfrom functools import reduce\\n \\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\na=[t//2 for t in a] # \\u30ea\\u30b9\\u30c8\\u306e\\u8981\\u7d20\\u3092\\u5168\\u30662\\u3067\\u5272\\u308b\\n \\ndef lcm_base(x, y):\\n    return (x * y) // fractions.gcd(x, y)\\n \\ndef lcm_list(numbers): # \\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3092\\u6c42\\u3081\\u308b\\n    return reduce(lcm_base, numbers, 1)\\n \\ndef num_dev2(x): # 2\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\u3092\\u30ab\\u30a6\\u30f3\\u30c8\\n    return format(x, 'b')[::-1].find('1')\\n \\nlcm = lcm_list(a)\\nq = m // lcm # m\\u306f\\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3067\\u4f55\\u56de\\u5272\\u308c\\u308b\\u304b\\n \\ncount = 0\\ndev2 = num_dev2(a[0])\\nfor i in range(1, n):\\n    if dev2 != num_dev2(a[i]): # \\u30ea\\u30b9\\u30c8\\u306e\\u5168\\u3066\\u306e\\u8981\\u7d20\\u306e\\u30012\\u3067\\u5272\\u308c\\u308b\\u56de\\u6570\\u306f\\u7b49\\u3057\\u3044\\u304b\\uff1f\\n        count += 1\\n        break\\nif count != 0:\\n    print(0)\\nelse:\\n    print(math.ceil(q/2))\", \"import sys, re\\nfrom collections import deque, defaultdict, Counter\\nfrom math import ceil, sqrt, hypot, factorial, pi, sin, cos, tan, asin, acos, atan, radians, degrees, log2, gcd\\nfrom itertools import accumulate, permutations, combinations, combinations_with_replacement, product, groupby\\nfrom operator import itemgetter, mul\\nfrom copy import deepcopy\\nfrom string import ascii_lowercase, ascii_uppercase, digits\\nfrom bisect import bisect, bisect_left, insort, insort_left\\nfrom heapq import heappush, heappop\\nfrom functools import reduce, lru_cache\\ndef input(): return sys.stdin.readline().strip()\\ndef INT(): return int(input())\\ndef MAP(): return map(int, input().split())\\ndef LIST(): return list(map(int, input().split()))\\ndef TUPLE(): return tuple(map(int, input().split()))\\ndef ZIP(n): return zip(*(MAP() for _ in range(n)))\\nsys.setrecursionlimit(10 ** 9)\\nINF = 10**6#float('inf')\\n#mod = 10 ** 9 + 7 \\nmod = 998244353\\n#from decimal import *\\n#import numpy as np\\n#decimal.getcontext().prec = 10\\n\\nN, M = MAP()\\na = LIST()\\n\\nA = sorted([x//2 for x in a], reverse=True)\\n\\nb = A[0]\\ncnt = 0\\nwhile b%2 == 0:\\n\\tb //= 2\\n\\tcnt += 1\\n\\nfor x in A:\\n\\tif x%pow(2, cnt) or (x//pow(2, cnt))%2 == 0:\\n\\t\\tprint(0)\\n\\t\\treturn\\n\\nlcm = A[-1]\\nfor x in A:\\n\\tlcm = lcm*x//gcd(lcm, x)\\n\\nr = lcm//A[0]\\nn = M//A[0]\\n\\n#2p+1\\u304c1<=2p+1<=n \\u306e\\u7bc4\\u56f2\\u3067 r\\u306e\\u500d\\u6570\\u3068\\u306a\\u308bp\\u306e\\u500b\\u6570\\nif r%2 == 0:\\n\\tprint(0)\\nelse:\\n\\tprint(n//r - n//(2*r))\", \"from math import gcd, ceil\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\na = [i // 2 for i in a]\\nl = 1\\nfor i in a:\\n    l *= i // gcd(l, i)\\nfor i in a:\\n    if l // i % 2 == 0:\\n        print((0))\\n        return\\nprint((ceil((m // l) / 2)))\\n\", \"from functools import reduce\\nimport math\\ndef lcm_base(x, y):\\n  return (x * y) // math.gcd(x, y)\\n\\ndef lcm(*numbers):\\n  return reduce(lcm_base, numbers, 1)\\n\\ndef lcm_list(numbers):\\n  return reduce(lcm_base, numbers, 1)\\n\\nn,m = map(int, input().split())\\na = list(map(int, input().split()))\\na = [i//2 for i in list(set(a))]\\nnothing = False\\ncnt_common = -1\\nfor i in a:\\n  cnt = 0\\n  while i % 2 == 0:\\n    i = i//2\\n    cnt += 1\\n  if cnt_common == -1:\\n    cnt_common = cnt\\n    continue\\n  if cnt_common != cnt:\\n    nothing = True\\n    break\\n\\nb=lcm_list(a)\\nif nothing:\\n  print(0)\\nelse:\\n  ans = (m-b)//(2*b) + 1\\n  print(max(ans,0))\", \"from fractions import gcd\\ndef lcm(a,b):\\n    return (a*b)//gcd(a,b)\\nn,m = map(int,input().split())\\na = list(map(int,input().split()))\\nans = 1\\nfor i in a:\\n    ans = lcm(ans,i)\\nfor i in a:\\n    if (ans//i) % 2 == 0:\\n        print(0)\\n        return\\nprint(((m//(ans//2))+1)//2)\", \"import math\\nN, M = map(int, input().split())\\nB = tuple(int(a) // 2 for a in input().split())\\n\\nx = B[0]\\nfor i in range(1, N):\\n    x = (x * B[i]) // math.gcd(x, B[i])\\n\\nfor b in B:\\n    if (x // b) % 2 == 0:\\n        print(0)\\n        break\\nelse:\\n    ans = (M // x) - (M // (2 * x))\\n    print(ans)\", \"import math\\nfrom functools import reduce\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\ndef div2_n(x):\\n    n = 0\\n    while x % 2 == 0:\\n      if x % 2 == 0:\\n          n += 1\\n          x >>= 1\\n    return n\\n  \\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\n\\na2 = [i//2 for i in a]\\nn0 = div2_n(a2[0])\\nfor i in range(1,n):\\n    if div2_n(a2[i]) != n0:\\n        print((0))\\n        return\\n\\na2_l = lcm(*a2)\\nprint((m//a2_l - m//(a2_l*2)))\\n\", \"N, M = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\ndef gcd(a,b):\\n    while b > 0:\\n        a, b = b, a % b\\n    return a\\n\\n\\nG = A[0]/2\\nfor a in A[1:]:\\n    G *= (a/2)/gcd(G,a//2)\\nfor a in A:\\n    if G % a == 0:\\n        print(0)\\n        return\\nprint(int(M//G - M//G//2))\", \"n , m = list(map(int, input().split()))\\na = list(map(int,input().split()))\\n\\ndef gcd(num1,num2):\\n    r=1\\n    while r>0:\\n        r=num1%num2\\n        num1=num2\\n        num2=r\\n    return num1\\n\\ndef lcm(num1,num2):\\n    gcd1=gcd(num1,num2)\\n    return num1*num2//gcd1\\n\\nlcm1=a[0]//2\\nlcm2=a[0]\\n\\nfor i in range(1,n):\\n    t=a[i]\\n    lcm1=lcm(lcm1,t//2)\\n    lcm2=lcm(lcm2,t)\\n    ta=max(t//2,lcm1)\\n    tb=min(t//2,lcm1)\\n    if ta!=tb and ta//tb%2==0:\\n        lcm1=0\\n        lcm2=0\\n        break\\n\\nif lcm1!=0:\\n    ans1=m//lcm1\\n    ans2=m//lcm2\\n    ans=ans1-ans2\\nelse:\\n    ans=0\\n\\nprint(ans)\\n\", \"import sys, re\\nfrom collections import deque, defaultdict, Counter\\nfrom math import ceil, sqrt, hypot, factorial, pi, sin, cos, tan, asin, acos, atan, radians, degrees, log2, gcd\\nfrom itertools import accumulate, permutations, combinations, combinations_with_replacement, product, groupby\\nfrom operator import itemgetter, mul\\nfrom copy import deepcopy\\nfrom string import ascii_lowercase, ascii_uppercase, digits\\nfrom bisect import bisect, bisect_left, insort, insort_left\\nfrom heapq import heappush, heappop\\nfrom functools import reduce, lru_cache\\ndef input(): return sys.stdin.readline().strip()\\ndef INT(): return int(input())\\ndef MAP(): return map(int, input().split())\\ndef LIST(): return list(map(int, input().split()))\\ndef TUPLE(): return tuple(map(int, input().split()))\\ndef ZIP(n): return zip(*(MAP() for _ in range(n)))\\nsys.setrecursionlimit(10 ** 9)\\nINF = 10**6#float('inf')\\n#mod = 10 ** 9 + 7 \\nmod = 998244353\\n#from decimal import *\\n#import numpy as np\\n#decimal.getcontext().prec = 10\\n\\nN, M = MAP()\\na = LIST()\\n\\nA = sorted([x//2 for x in a], reverse=True)\\n\\nlcm = A[-1]\\nfor x in A:\\n\\tlcm = lcm*x//gcd(lcm, x)\\n\\nr = lcm//A[0]\\nn = M//A[0]\\n\\n\\nfor x in A:\\n\\tif lcm//x%2 == 0:\\n\\t\\tprint(0)\\n\\t\\treturn\\n#2p+1\\u304c1<=2p+1<=n \\u306e\\u7bc4\\u56f2\\u3067 r\\u306e\\u500d\\u6570\\u3068\\u306a\\u308bp\\u306e\\u500b\\u6570\\nif r%2 == 0:\\n\\tprint(0)\\nelse:\\n\\tprint(n//r - n//(2*r))\", \"import math\\nfrom functools import reduce\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nN,M = map(int,input().split())\\na = list(map(lambda a: int(a)//2, input().split()))\\ng = lcm(*a)\\nif any([g // item % 2 == 0 for item in a]):\\n    print(0)\\nelse:\\n    ans = M//g\\n    ans = max(math.ceil(ans/2),0)   \\n    print(ans)\", \"from math import gcd\\nN, M = list(map(int, input().split()))\\nA = [a//2 for a in map(int, input().split())]\\n\\nlcm = 1\\nfor a in A:\\n    lcm = lcm*a//gcd(lcm, a)\\n    if lcm > M:\\n        print((0))\\n        return\\n\\nfor a in A:\\n    div = lcm//a\\n    if div % 2 == 0:\\n        print((0))\\n        return\\n\\nans = (M//lcm+1)//2\\nprint(ans)\\n\", \"import math\\ndef LCM(a, b):\\n    g = math.gcd(a, b)\\n    return a * b // g\\n\\nN, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\nA = list(set(A))\\nN = len(A)\\na0 = A[0]\\ndiv = 1\\nwhile a0 % 2 == 0:\\n    div *= 2\\n    a0 //= 2\\n\\nfor i in range(1, N):\\n    a = A[i] % div\\n    b = A[i] // div\\n    if (b % 2 == 0) or (a != 0):\\n        print((0))\\n        return\\n\\nfor i in range(N):\\n    A[i] //= 2\\n\\nif N > 1:\\n    lcm = LCM(A[0], A[1])\\n    for i in range(2, N):\\n        lcm = LCM(lcm, A[i])\\n\\nif N == 1:\\n    lcm = A[0]\\n\\nans = M // lcm\\nif ans % 2 == 1:\\n    print((ans // 2 + 1))\\nelse:\\n    print((ans // 2))\\n\", \"import math\\ndef lcm(x,y):\\n    return(x*y)//math.gcd(x,y)\\nn,m=map(int,input().split())\\nl=list(map(int,input().split()))\\na=l[0]//2\\nfor i in range(n-1):\\n    a=lcm(a,l[i+1]//2)\\n \\nok = True\\nfor i in range(n):\\n  if (a//(l[i]//2))%2!=1:\\n    ok=False\\n    break\\nans = 0\\nif ok:\\n    ans = ((m//a)+1)//2\\nprint(ans)\", \"import sys\\nN,M = list(map(int,input().split()))\\nA = list(map(int,input().split()))\\na = []\\nfor i in A:\\n  i = i//2\\n  a.append(i)\\ndef gcd(p,q):\\n  p,q = max(p,q),min(p,q)\\n  while q!=0:\\n    p,q = q,p%q\\n  return p\\ndef lcm(p,q):\\n  return(p*q//gcd(p,q))\\ndef aaa(i):\\n  count = 0\\n  while i%2==0:\\n    i = i//2\\n    count+=1\\n  return count\\nmax_num = a[0]\\naa = aaa(a[0])\\nfor i in a:\\n  max_num = lcm(i,max_num)\\n  if aa != aaa(i):\\n    print((0))\\n    return\\nprint((((M//max_num)+1)//2))\\n\", \"import math\\ndef lcm(a,b):\\n  return (a*b)//math.gcd(a,b)\\ndef co(num):\\n  return format(num, 'b')[::-1].find('1')\\nN,M=map(int,input().split())\\nL=list(map(int,input().split()))\\nL2=[co(i) for i in L]\\nif len(set(L2))!=1:\\n  print(0)\\n  return\\nL=[i//2 for i in L]\\ns=L[0]\\nfor i in range(N):\\n  s=lcm(s,L[i])\\nc=M//s\\nprint((c+1)//2)\", \"import math\\nfrom functools import reduce\\n\\nN,M=list(map(int,input().split()))\\nA=[int(x)//2 for x in input().split()]\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nLCM=lcm(*A)\\nfor a in A:\\n  if LCM//a%2==0:\\n    print((0))\\n    break\\nelse:\\n  print(((M//LCM+1)//2))\\n\", \"import numpy as np\\nfrom math import ceil\\n\\nn,m = map(int,input().split())\\na = list(map(int,input().split()))\\na = [x//2 for x in a]\\nlcm = np.lcm.reduce(a)\\nans = 0\\n\\nfor i in a:\\n    if lcm // i % 2 == 0:\\n        break\\nelse:\\n    ans = ceil((m//lcm)/2)\\n\\nprint(ans)\", \"import math\\n\\ndef n_2(n):\\n  c=0\\n  while n%2==0:\\n    c+=1\\n    n>>=1\\n  return (n,c)\\n\\nN,M=map(int,input().split())\\nA=list(map(int,input().split()))\\nA[0],a=n_2(A[0])\\np=False\\nfor i in range(1,N):\\n  A[i],b=n_2(A[i])\\n  if a!=b:\\n    p=True\\n    break\\nif p:\\n  print(0)\\n  return\\nn=1\\nfor _ in range(a-1):\\n  n*=2\\nl=n\\nfor a in A:\\n  l=l*a//math.gcd(l,a)\\nans=M//l-M//(2*l)\\nprint(ans)\", \"def abc150_d():\\n    n, m = (int(x) for x in input().split())\\n    A = [int(x) // 2 for x in input().split()]\\n\\n    from math import gcd\\n    def lcm(a, b):\\n        return a * b // gcd(a, b)\\n\\n    x = 1\\n    for a in A:\\n        x = lcm(x, a)\\n\\n    valid = True\\n    for a in A:\\n        if (x // a) % 2 == 0:\\n            valid = False\\n            break\\n\\n    if valid: ans = (m // x + 1) // 2\\n    else: ans = 0\\n    print(ans)\\n\\ndef __starting_point():\\n    abc150_d()\\n__starting_point()\", \"from math import gcd\\nn,m=map(int,input().split())\\na=list(map(int,input().split()))\\na=list(set(a))\\na=list(map(lambda x: x//2, a))\\n\\ndef lcm(q):\\n  x = q[0]\\n  for i in range(1, len(q)):\\n    x = (x * q[i]) // gcd(x, q[i])\\n  return x\\n\\nlcma=lcm(a)\\nfor i in range(len(a)):\\n  if (lcma//a[i])%2==0:\\n    print(0)\\n    return\\ntemp=m//lcma\\nprint(temp//2 if temp%2==0 else temp//2+1)\", \"from math import gcd, ceil\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\na = [i // 2 for i in a]\\nl = 1\\nfor i in a:\\n    l *= i // gcd(l, i)\\nfor i in a:\\n    if l // i % 2 == 0:\\n        print(0)\\n        return\\nprint(ceil((m // l) / 2))\", \"# import sys\\n# sys.setrecursionlimit(10 ** 6)\\n# import bisect\\n# from collections import deque\\ndef lcm(a, b):\\n    \\\"\\\"\\\"\\u6700\\u5c0f\\u516c\\u500d\\u6570\\\"\\\"\\\"\\n    from math import gcd\\n    return (a * b) // gcd(a, b)\\n\\n\\n# from decorator import stop_watch\\n#\\n#\\n# @stop_watch\\ndef solve(N, M, As):\\n    if sum([a % 2 for a in As]) > 0:\\n        print((0))\\n        return\\n\\n    As = [a // 2 for a in As]\\n    all_lcm = 1\\n    for a in As:\\n        all_lcm = lcm(all_lcm, a)\\n        if all_lcm > M:\\n            print((0))\\n            return\\n\\n    for a in As:\\n        if (all_lcm // a) % 2 == 0:\\n            print((0))\\n            return\\n    from math import ceil\\n    print((ceil(M // all_lcm / 2)))\\n\\n\\ndef __starting_point():\\n    N, M = list(map(int, input().split()))\\n    As = [int(i) for i in input().split()]\\n\\n    # import random\\n    # N, M = 10 ** 5, 10 ** 9\\n    # As = [random.randint(5, 5) * 2 for _ in range(N)]\\n    solve(N, M, As)\\n\\n__starting_point()\", \"import sys,math\\nr=sys.stdin.readline\\ndef gcd(a,b):\\n    a,b=max(a,b),min(a,b)\\n    while b>0:\\n        a,b=b,a%b\\n    return a\\ndef lcm(arr):\\n    while len(arr)!=1:\\n        a=arr.pop()\\n        b=arr.pop()\\n        c=gcd(a,b)\\n        arr.insert(0,int(a*b/c))\\n    return arr[0]\\ndef cnt2(num):\\n    cnt=0\\n    while num%2==0:\\n        num/=2\\n        cnt+=1\\n    return cnt\\nN,M=list(map(int,r().split()))\\nseq=list(map(int,r().split()))\\nseq=list(set(seq))\\ntmp=cnt2(seq[0])\\nfor num in seq:\\n    if tmp!=cnt2(num):\\n        print((0))\\n        return\\nT=lcm(list([x//2 for x in seq]))\\nif T>M:\\n    print((0))\\n    return\\nprint((math.floor(M//T/2+0.5)))\\n\\n\\n\\n\", \"N, M = list(map(int, input().split()))\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print((0))\\n    return\\nans = 0\\n\\nfor odd in [3]:\\n  flag = False\\n  for k in range(N):\\n    if a[k]%odd == 0:\\n      a[k] //= odd\\n      flag = True\\n  if flag:\\n    foo *= odd\\n \\n \\nimport math\\n\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // math.gcd(lcm, b)\\n  if lcm* foo > M:\\n    print((0))\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\\n\\n\", \"from math import gcd\\n\\ndef lcm(a, b):\\n    return a * b // gcd(a, b)\\n\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\nl = [0] * n\\nfor i in range(n):\\n    tmp = a[i]\\n    while tmp % 2 == 0:\\n        tmp //= 2\\n        l[i] += 1\\n    if i > 0 and l[i] != l[i - 1]:\\n        print((0))\\n        return\\nres = 1\\nfor i in range(n):\\n    res = lcm(res, a[i] // 2)\\nprint((m // res - m // (res * 2)))\\n\", \"def main():\\n    N, M = map(int, input().split())\\n    A = tuple(map(int,input().split()))\\n    ans = count(A, N, M)\\n    print(ans)\\ndef count(A, N, M):\\n    t = hMt(A[0])\\n    B = [A[0]//(2**t)]\\n    for val in A[1:]:\\n        if hMt(val) != t:\\n            ans = 0\\n            return ans\\n        B.append(val//(2**t))\\n    T = nlcm(B)\\n    MdivT = (M//(2**(t-1)))//T\\n    ans = countodd(MdivT)\\n    return ans\\ndef countodd(num):\\n    if num%2 == 0:\\n        ans = num//2\\n    else:\\n        ans = num//2 + num%2\\n    return ans\\ndef nlcm(A):\\n    LCM = A[0]\\n    for val in A[1:]:\\n        #print(\\\"%d %d gcm:%d LCM:%d\\\"%(LCM,val,gcm(LCM,val),lcm(LCM,val)))\\n        LCM = lcm(LCM,val)\\n    return LCM\\n    \\ndef gcm(a, b):\\n    abtuple = (a,b)\\n    abmin = min([0,1], key=lambda x:abtuple[x])\\n    remainder = abtuple[1-abmin]%abtuple[abmin]\\n    if remainder == 0:\\n        return abtuple[abmin]\\n    return gcm(abtuple[abmin], remainder)\\ndef lcm(a,b):\\n    prod = a*b\\n    ans = prod//gcm(a,b)\\n    return ans\\ndef hMt(num):\\n    ans = 0\\n    tmp = num\\n    while tmp%2 == 0:\\n        tmp = tmp//2\\n        ans += 1\\n    return ans\\nmain()\", \"N, M = list(map(int, input().split()))\\na = list(map(int, input().split()))\\nfor k in range(N):\\n  a[k] //= 2\\n\\nfoo = 1\\nwhile a[0]%2 == 0:\\n  foo *= 2\\n  a[0] //= 2\\nfor k in range(1, N):\\n  if a[k] % foo == 0 and a[k]%(2*foo) !=0:\\n    a[k] //= foo\\n    continue\\n  else:\\n    print((0))\\n    return\\nans = 0\\n\\nfor odd in [3, 5, 7]:\\n  flag = False\\n  for k in range(N):\\n    if a[k]%odd == 0:\\n      a[k] //= odd\\n      flag = True\\n  if flag:\\n    foo *= odd\\n \\n \\nimport math\\n\\nlcm = a.pop()\\nfor k in range(1, N):\\n  b = a.pop()\\n  lcm = lcm * b // math.gcd(lcm, b)\\n  if lcm* foo > M:\\n    print((0))\\n    return\\nlcm *= foo\\nans = int((M / lcm -1)//2 + 1)\\nprint(ans)\\n\\n\", \"from math import gcd\\ndef lcm(a,b):\\n    return a//gcd(a,b)*b\\ndef lcm(ab):\\n    l=len(ab)\\n    ret=ab[0]\\n    for i in range(1,l):\\n        ret=ret//gcd(ab[i],ret)*ab[i]\\n    return ret\\ndef count2(a):\\n    ret=0\\n    while a%2==0:\\n        a//=2\\n        ret+=1\\n    return 2**ret\\nn,m=map(int,input().split())\\nA=list(map(int,input().split()))\\nif any(i%2 for i in A):\\n    print(0);return\\nA=[i//2 for i in A]\\n#\\u5168\\u4f53\\u306e\\u6700\\u5c0f\\u516c\\u500d\\u6570\\np=lcm(A)\\nc=count2(p)\\n#2\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\u304c\\u540c\\u3058\\u3067\\u306a\\u3044\\u3082\\u306e\\u304c\\u3042\\u308b\\u5834\\u5408\\n#\\u9055\\u3046\\u3058\\u3083\\u3093\\nif any(i%c for i in A):\\n    print(0);return\\nx=m//p\\n#print(p//c)\\nif x%2==0:\\n    print(x//2)\\nelse:\\n    print(x//2+1)\", \"def gcd(a, b):\\n    if b == 0:\\n        return a\\n    r = a % b   \\n    return gcd(b, r)\\n\\ndef lcm(a, b):\\n    x = gcd(a, b)\\n    return a * b // x\\n\\ndef gcdN(a):\\n    x = a[0]\\n    for i in range(1, len(a)):\\n        x = gcd(x, a[i])\\n    return x\\n\\ndef lcmN(a):\\n    x = a[0]\\n    for i in range(1, len(a)):\\n        x = lcm(x, a[i])\\n    return x\\n\\n\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))  #;print(a)\\n\\ng = gcdN(a)\\nfor i in a:\\n    if (i//g) % 2 == 0:\\n        print((0))\\n        break\\nelse:\\n    l = lcmN(a) \\n    k = 2*m // l\\n    print(((k+1)//2))\\n\", \"from math import gcd, ceil\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\na = [i // 2 for i in a]\\nl = 1\\nfor i in a:\\n    l *= i // gcd(l, i)\\nfor i in a:\\n    if l // i % 2 == 0:\\n        print((0))\\n        return\\n#print(ceil((m // l) / 2))\\nprint(((m//l+1)//2))\\n\", \"n,m=list(map(int,input().split()))\\na=list(map(int,input().split()))\\n\\nfor i in range(n):\\n  a[i]=a[i]//2\\n  \\ndef gcd(a,b):\\n  if b==0:\\n    return a\\n  else:\\n    return gcd(b,a%b)\\n  \\ndef lcm(a,b):\\n  return a*b//gcd(a,b)\\n\\ndef check(x):\\n  cnt=0\\n  while(1):\\n    if x%2==0:\\n      x=x//2\\n      cnt+=1\\n    else:\\n      break\\n  return cnt\\n\\ncnt=a[0]\\nfor i in range(n):\\n  cnt=lcm(cnt,a[i])\\n\\n\\nl=check(a[0])\\nfor i in range(1,n):\\n  x=check(a[i])\\n  if x!=l:\\n    print((0))\\n    return\\n\\n\\ns=m//cnt\\nif s%2==0:\\n  print((s//2))\\nelse:\\n  print((s//2+1))\\n\\n  \\n\", \"from math import gcd\\nN, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\nlcm = 1\\nfor a in A:\\n    lcm = lcm * a // gcd(lcm, a)\\n    if lcm > M*2:\\n        print((0))\\n        return\\nfor a in A:\\n    if lcm // a % 2 == 0:\\n        print((0))\\n        return\\nans = M // (lcm//2) - M // lcm\\nprint(ans)\\n\", \"from math import gcd\\ndef lcm(x,y):\\n    return x*y//gcd(x,y)\\ndef cnt(x):\\n    i = 0\\n    while x%2 == 0:\\n        x = x//2\\n        i += 1\\n    return i \\nn,m = map(int,input().split())\\na = list(map(int,input().split()))\\nmemo = cnt(a[0])\\nfor i in range(n):\\n    if cnt(a[i]) != memo:\\n        print(0)\\n        return\\n    a[i] = a[i]//2\\n\\nt = 1\\nfor i in range(n):\\n    t = lcm(t,a[i])\\nprint(m//t-m//(2*t))\", \"import math\\nimport numpy as np\\nN,M=map(int,input().split())\\nA=list(map(int,input().split()))\\nc=1\\ntest=A[0]\\nl=0\\n\\nwhile test%2 == 0:\\n  test=test//2\\n  c*=2\\n  \\nfor i in np.arange(N-1):\\n  if A[i+1]%c!=0:\\n    print(0)\\n    l=1\\n    break\\n  elif A[i+1]%(c*2)==0:\\n    print(0)\\n    l=1\\n    break\\n  else:\\n    k=A[i+1]//c\\n    test=test*k//math.gcd(test,k)\\nif l==0:\\n  k=test*c//2\\n  print(M//k//2+M//k%2)\", \"# \\u53c2\\u8003 : https://at274.hatenablog.com/entry/2020/01/15/060000\\nfrom functools import reduce\\nimport math\\n\\n\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\ndef lcm_list(numbers):  # \\u30ea\\u30b9\\u30c8\\u3092\\u6295\\u3052\\u308b\\u3068\\u5168\\u8981\\u7d20\\u306elcm\\u304c\\u8fd4\\u3063\\u3066\\u304f\\u308b\\n    return reduce(lcm, numbers, 1)\\n\\n\\nN, M = list(map(int, input().split()))\\nA = list(map(int, input().split()))\\n\\n# \\u6700\\u521d\\u3001A\\u306e\\u8981\\u7d20\\u306f\\u5168\\u3066\\u5076\\u6570\\u30022\\u3067\\u5272\\u3063\\u305f\\u3082\\u306e\\u306b\\u7f6e\\u304d\\u63db\\u3048\\nA = [a // 2 for a in A]\\n\\n# \\u5168\\u3066\\u306e\\u8981\\u7d20\\u306b\\u3064\\u3044\\u3066\\u3001\\uff12\\u3067\\u5272\\u308c\\u308b\\u56de\\u6570\\u304c\\u540c\\u3058\\u3067\\u306a\\u3044\\u3068\\u984c\\u610f\\u306f\\u6e80\\u305f\\u305b\\u306a\\u3044\\ncount_div_2 = None\\nfor a in A:\\n    cnt = 0\\n    while a % 2 == 0:\\n        a //= 2\\n        cnt += 1\\n    # 1\\u500b\\u76ee\\u306f\\u7121\\u6761\\u4ef6\\u3067\\u4fdd\\u5b58\\n    if count_div_2 is None:\\n        count_div_2 = cnt\\n    # 2\\u500b\\u76ee\\u304b\\u3089\\u30c1\\u30a7\\u30c3\\u30af\\n    elif cnt != count_div_2:\\n        print((0))\\n        return\\n\\n# my_lcm = A\\u306e\\u5168\\u8981\\u7d20\\u306e\\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3002\\u3000\\u3053\\u306e\\u5947\\u6570\\u500d\\u304c\\u984c\\u610f\\u3092\\u6e80\\u305f\\u3059\\u3002\\n# my_lcm\\u304cM\\u3092\\u8d85\\u3048\\u3066\\u3044\\u305f\\u30891\\u3064\\u3082\\u4f5c\\u308c\\u306a\\u3044\\nmy_lcm = lcm_list(A)\\nif my_lcm > M:\\n    print((0))\\n    return\\n\\ntmp = M // my_lcm\\n# my_lcm\\u306e1,2,...M\\u500d\\u307e\\u3067\\u4f7f\\u3048\\u308b\\u304c\\u3001\\u5076\\u6570\\u306f\\u4f7f\\u3048\\u306a\\u3044\\n# tmp=1or2\\u306a\\u30891\\u500b, 3or4\\u306a\\u30892\\u500b, 5or6\\u306a\\u30893\\u500b,...\\nans = (tmp + 1) // 2\\nprint(ans)\\n\", \"import math\\nimport collections\\nimport sys\\n\\ninput = sys.stdin.readline\\ndef I(): return int(input())\\ndef MI(): return list(map(int, input().split()))\\ndef LI(): return list(map(int, input().split()))\\ndef LI2(): return [int(input()) for i in range(n)]\\ndef MXI(): return [[LI()]for i in range(n)]\\n\\nn,m=MI()\\nA=LI()\\ndef num2(x):\\n    ans=0\\n    while x%2==0:\\n        x=x//2\\n        ans+=1\\n    return ans\\nmod=2**(num2(A[0]))\\nfor i in range(1,n):\\n    if A[i]%mod!=0:\\n        print((0))\\n        return\\n    if A[i]%mod==0 and (A[i]//mod)%2==0:\\n        print((0))\\n        return\\n#print(A)\\nfor i in range(n):\\n    A[i]//=2\\n#print(A)\\n\\ndef gcd(a, b):\\n    while b:\\n        a, b = b, a % b\\n    return a\\n\\ndef lcm(a, b):\\n    return a // gcd(a, b) * b\\n\\nL=A[0]   \\nfor i in range(1,n):\\n    L=lcm(L,A[i])\\n#print(L)\\nif L>m:\\n    an=0\\nelse:\\n    an=int(((m/L)-1)/2)+1\\nprint(an)\\n\", \"import math\\n\\ndef lcm(a, b):\\n  return a*b//math.gcd(a, b)\\n\\ndef f(num):\\n  cnt = 0\\n  while num % 2 == 0:\\n    num = num // 2\\n    cnt += 1\\n  return cnt\\n\\nn, m = map(int, input().split())\\na = list(map(int, input().split()))\\n\\nfor i in range(n):\\n  a[i] = a[i] // 2\\n\\nt = f(a[0])\\nfor i in range(n):\\n  if f(a[i]) != t:\\n    print(0)\\n    return\\n  a[i] = a[i] >> t\\nm = m >> t\\nl = 1\\nfor i in range(n):\\n  l = lcm(l, a[i])\\n  if l > m:\\n    print(0)\\n    return\\n\\nm = m // l\\nprint((m+1)//2)\", \"import math\\nfrom functools import reduce\\n\\n\\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\ndef lcm(*numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\n\\ndef my_round(val, digit=0):\\n    p = 10 ** digit\\n    return (val * p * 2 + 1) // 2 / p\\n\\n\\nn, m = list(map(int, input().split()))\\na_pr = [i // 2 for i in list(map(int, input().split()))]\\nlcm_ = lcm_list(a_pr)\\nres, div2 = 0, None\\nfor ai in a_pr:\\n    cnt = 0\\n    while ai % 2 == 0:\\n        ai //= 2\\n        cnt += 1\\n    if div2 is None:\\n        div2 = cnt\\n    elif cnt != div2:\\n        print((0))\\n        return\\n\\nprint((int(my_round(m // lcm_ / 2))))\\n\", \"from math import gcd, ceil\\nfrom functools import reduce\\nimport sys\\n\\ndef lcm_base(x, y):\\n    return (x * y) // gcd(x, y)\\n\\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nN, M = map(int, input().split())\\na = [int(i)//2 for i in input().split()]\\n\\ns = set()\\nfor x in a:\\n    cur = 0\\n    y = x\\n    while y%2 == 0:\\n        cur += 1\\n        y //= 2\\n    s.add(cur)\\n    if len(s) >= 2:\\n        print(0)\\n        return\\nlcm = lcm_list(a)\\nprint((M//lcm+1)//2)\", \"from math import gcd, ceil\\n\\n\\ndef lcm(a, b):\\n    return (a*b)//gcd(a, b)\\n\\n\\nn, m = list(map(int, input().split()))\\na = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    a[i] = a[i]//2\\n\\nlcm_v = a[0]\\nfor i in range(1, n):\\n    lcm_v = lcm(lcm_v, a[i])\\n\\nok = True\\nfor aa in a:\\n    if (lcm_v//aa) % 2 != 1:\\n        ok = False\\n        break\\nans = 0\\nif ok:\\n    ans = ((m//lcm_v)+1)//2\\nprint(ans)\\n\", \"from collections import deque,defaultdict\\ndef gcd(a,b):\\n    return b if not a%b else gcd(b,a%b)\\ndef lcm(a,b):\\n    return (a*b)//gcd(a,b)\\nn,m=list(map(int, input().split()))\\nA=[int(i) for i in input().split()]\\ntmp = A[0]\\nfor i in range(1,n):\\n    tmp = lcm(tmp,A[i])\\nans = m//tmp\\nlis = set()\\nfor i in A:\\n    r = i\\n    k=0\\n    while(r%2==0):\\n        k+=1\\n        r//=2\\n    lis.add(k)\\nif(m//(tmp)*tmp+tmp//2<=m):\\n    ans += 1\\nif(len(lis)!=1):\\n    ans=0\\n\\nprint(ans)\\n\\n\", \"import math\\nfrom decimal import Decimal, ROUND_HALF_UP\\ndef lcm(a):\\n    x = a[0]\\n    for i in range(1, len(a)):\\n        x = (x * a[i]) // math.gcd(x, a[i])\\n    return x\\ndef gcd(a):\\n  temp = math.gcd(a[0], a[1])\\n  for i in a:\\n    temp = math.gcd(temp,  i)\\n  return temp\\nn,m = map(int, input().split(\\\" \\\"))\\na = list(map(int, input().split(\\\" \\\")))\\nzero = False\\ncount = 0\\n#a = list(map(lambda x: x // 2, na))\\nmini = lcm(a)\\nif len(a) != 1:\\n  maxi = gcd(a)\\nelse:\\n  maxi = a[0]\\nmaxi2 = maxi\\nnibai = 1\\nwhile(True):\\n  if maxi2 % 2 == 0:\\n    nibai *= 2\\n    maxi2 //= 2\\n  else:\\n    break\\nfor i in a:\\n  if i % (2 * nibai) == 0:\\n    zero = True\\n    break\\n#print(nibai, maxi, mini)\\nif not zero:\\n  t = Decimal(str((m * 2 // mini) / 2))\\n  #print(t)\\n  print(t.quantize(Decimal('0'), rounding=ROUND_HALF_UP))\\nelse:\\n  print(0)\", \"from math import gcd\\nimport sys\\n\\ndef lcm(x,y):\\n    return x*y//gcd(x,y)\\n\\ndef count(x):\\n    res=0\\n    while True:\\n        if x%2==0:\\n            res+=1\\n            x//=2\\n        else:\\n            break\\n    return res\\n\\nn,m=list(map(int,input().split()))\\nA=list(map(int,input().split()))\\nA=list(set(A))\\nn=len(A)\\n\\nA.sort(reverse=True)\\n\\ntemp=A[0]\\nfor i in range(1,n):\\n    if count(A[i])!=count(temp):\\n        print((0))\\n        return\\n    else:\\n        temp=lcm(temp,A[i])\\n\\nans=m//(temp//2)-m//temp\\nprint(ans)\\n\", \"import math\\nimport fractions\\nfrom functools import reduce\\n\\nn, m = map(int,input().split())\\na = list(map(int,input().split()))\\na = [t // 2 for t in a]#\\u30ea\\u30b9\\u30c8\\u306e\\u8981\\u7d20\\u3059\\u3079\\u3066\\u30922\\u3067\\u5272\\u308b\\n\\ndef lcm_base(x, y):\\n    return (x * y)//fractions.gcd(x,y)\\n\\ndef lcm_list(numbers): #\\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3092\\u6c42\\u3081\\u308b\\n    return reduce(lcm_base, numbers, 1)\\n\\ndef num_dev2(x):\\n    return bin(x)[::-1].find(\\\"1\\\") #\\uff12\\u3067\\u5272\\u308a\\u5207\\u308c\\u308b\\u56de\\u6570\\u3092\\u78ba\\u8a8d\\n\\nlcm = lcm_list(a)\\nq = m//lcm #m\\u306f\\u6700\\u5c0f\\u516c\\u500d\\u6570\\u3067\\u4f55\\u56de\\u5272\\u308c\\u308b\\u304b\\n\\ncount = 0\\ndev2 = num_dev2(a[0])\\nfor i in range(1,n):\\n    if dev2 != num_dev2(a[i]):#\\u30ea\\u30b9\\u30c8\\u306e\\u3059\\u3079\\u3066\\u306e\\u8981\\u7d20\\u306e\\uff12\\u3067\\u5272\\u308c\\u308b\\u56de\\u6570\\u306f\\u7b49\\u3057\\u3044\\u304b\\n        count += 1\\n        break\\nif count != 0:\\n    print(0)\\nelse:\\n    print(math.ceil(q/2))\", \"from math import gcd\\n\\ndef lcm(a, b):\\n    return a // gcd(a, b) * b \\n\\nN, M = map(int, input().split())\\nAs = list(map(int, input().split()))\\n\\nrightmostbit = As[0] & -As[0]\\nfor A in As[1:]:\\n    if rightmostbit != A & -A:\\n        print(0)\\n        return \\n\\n\\nlcm_of_half_As = 1\\nfor A in As:\\n    lcm_of_half_As = lcm(lcm_of_half_As, A //  2)\\n    if lcm_of_half_As > M:\\n        break\\n\\nprint((M // lcm_of_half_As + 1) // 2)\", \"import sys\\nimport numpy as np\\ndef input(): return sys.stdin.readline().rstrip()\\n\\ndef kosuu(x):\\n    re = [0,0]\\n    while x % 2 == 0:\\n        x = x//2\\n        re[1]+=1\\n    re[0]=x\\n    return re\\n\\n        \\n \\ndef main():\\n    n,m=map(int, input().split())\\n    a=list(map(int, input().split()))\\n    li = [kosuu(a[0])[0]]\\n    hantei = kosuu(a[0])[1]\\n    for i in a[1:]:\\n        hantei2 = kosuu(i)\\n        if hantei2[1] != hantei:\\n            print(0)\\n            break\\n        else:\\n            li.append(hantei2[0])\\n    else:\\n        lc = np.lcm.reduce(li)\\n        print(((m//(lc*2**(hantei-1)))+1)//2)\\n            \\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nimport sys\\nfrom functools import reduce\\n\\nN, M = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\nfor i in range(N):\\n  A[i] = A[i] // 2\\n  \\ndef lcm_base(x, y):\\n    return (x * y) // math.gcd(x, y)\\n  \\ndef lcm_list(numbers):\\n    return reduce(lcm_base, numbers, 1)\\n\\nC = lcm_list(A)\\nB = [0 for _ in range(N)]\\n\\nfor i in range(N):\\n  B[i] = C // A[i]\\n  if B[i] % 2 == 0:\\n    print(0)\\n    return\\n\\nprint( (M // C + 1) // 2)\", \"import math\\nfrom functools import reduce\\n\\nn,m = map(int, input().split())\\nA = list(map(int, input().split()))\\n\\ndef lcm_base(x,y):\\n  return x*y//math.gcd(x,y)\\n\\ndef lcm(target_list):\\n  return reduce(lcm_base, target_list)\\n\\nA_gcd = reduce(math.gcd, A)\\nflg = True\\n\\nfor a in A:\\n  if a//A_gcd%2==0:\\n    flg = False\\n    break\\n    \\nif flg:\\n  min_x = int(lcm(A))//2\\n  ans = m//min_x - m//(2*min_x)\\n  print(ans)\\nelse:\\n  print(0)\", \"from math import gcd\\nfrom functools import reduce\\nimport sys\\ninput = sys.stdin.readline\\n\\n\\ndef lcm(a, b):\\n    return a*b // gcd(a, b)\\n\\n\\ndef count_factor_2(num):\\n    count = 0\\n    while num % 2 == 0:\\n        num //= 2\\n        count += 1\\n    return count\\n\\n\\ndef main():\\n    n, m = list(map(int, input().split()))\\n    A = list([int(x)//2 for x in input().split()])\\n\\n    check = len(set(map(count_factor_2, A)))\\n    if check != 1:\\n        print((0))\\n        return\\n\\n    lcm_a = reduce(lcm, A)\\n    step = lcm_a * 2\\n    ans = (m + lcm_a) // step\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\"]",
        "difficulty": "interview",
        "input": "5 1000000000\n6 6 2 6 2\n",
        "output": "166666667\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc150/tasks/abc150_d"
    },
    {
        "id": 255,
        "task_id": 2649,
        "test_case_id": 1,
        "question": "There are N points on the 2D plane, i-th of which is located on (x_i, y_i).\nThere can be multiple points that share the same coordinate.\nWhat is the maximum possible Manhattan distance between two distinct points?\nHere, the Manhattan distance between two points (x_i, y_i) and (x_j, y_j) is defined by |x_i-x_j| + |y_i-y_j|.\n\n-----Constraints-----\n - 2 \\leq N \\leq 2 \\times 10^5\n - 1 \\leq x_i,y_i \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\nx_1 y_1\nx_2 y_2\n:\nx_N y_N\n\n-----Output-----\nPrint the answer.\n\n-----Sample Input-----\n3\n1 1\n2 4\n3 2\n\n-----Sample Output-----\n4\n\nThe Manhattan distance between the first point and the second point is |1-2|+|1-4|=4, which is maximum possible.",
        "solutions": "[\"n = int(input())\\na = []\\nb = []\\nfor i in range(n):\\n  x,y = list(map(int, input().split()))\\n  a.append(x+y)\\n  b.append(x-y)\\na.sort()\\nb.sort()\\n\\nans = a[-1]-a[0]\\nc = b[-1]-b[0]\\nprint((max(ans,c)))\\n\", \"\\n\\ndef main():\\n    n = int(input())\\n    z = [[], []]\\n    for i in range(n):\\n        x, y = list(map(int, input().split()))\\n        z[0].append(x + y)\\n        z[1].append(x - y)\\n    z[0] = sorted(z[0])\\n    z[1] = sorted(z[1])\\n    print((max(z[0][-1] - z[0][0], z[1][-1] - z[1][0])))\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def mdmax(x):\\n    a = []\\n    b = []\\n    for i in range(len(x)):\\n        a.append(x[i][0] - x[i][1])\\n        b.append(x[i][0] + x[i][1])\\n    return max(max(a) - min(a), max(b) - min(b))\\n\\nn = int(input())\\ndata = []\\nfor i in range(n):\\n    ininput_data = input()\\n    input_data = list(map(int, ininput_data.split()))\\n    data.append(input_data)\\nprint(mdmax(data))\", \"N = int(input())\\na,b = [], []\\nfor i in range(N):\\n  x,y = map(int, input().split())\\n  a.append(x+y)\\n  b.append(x-y)\\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\nprint(ans)\", \"n = int(input())\\n\\nx, y = [], []\\nfor i in range(n):\\n    xi, yi = map(int, input().split())\\n    x.append(xi+yi)\\n    y.append(xi-yi)\\n\\nx.sort()\\ny.sort()\\n\\nans = max((x[-1]-x[0]), (y[-1]-y[0]))\\nprint(ans)\", \"n = int(input())\\nxy = [list(map(int, input().split())) for i in range(n)]\\nans = []\\nl = [xy[i][0]+xy[i][1] for i in range(n)]\\nans.append(max(l)-min(l))\\nl = [xy[i][0]-xy[i][1] for i in range(n)]\\nans.append(max(l)-min(l))\\nl = [-xy[i][0]+xy[i][1] for i in range(n)]\\nans.append(max(l)-min(l))\\nl = [-xy[i][0]-xy[i][1] for i in range(n)]\\nans.append(max(l)-min(l))\\nprint(max(ans))\", \"n=int(input())\\nzp=[]\\nzl=[]\\nfor i in range(n):\\n    a,b=map(int,input().split())\\n    zp.append(a+b)\\n    zl.append(a-b)\\nans=max((max(zp)-min(zp)),(max(zl)-min(zl)))\\nprint(ans)\", \"def solve(n, x, y):\\n    z = [u + v for u, v in zip(x, y)]\\n    w = [u - v for u, v in zip(x, y)]\\n    return max([max(z) - min(z), max(w) - min(w)])\\n\\nn = int(input())\\nx, y = zip(*[map(int, input().split()) for i in range(n)])\\nprint(solve(n, x, y))\", \"N=int(input())\\nA=[]\\nB=[]\\nfor _ in range(N):\\n    x,y=map(int, input().split())\\n    A.append(x+y)\\n    B.append(x-y)\\n\\nA=sorted(A)\\nB=sorted(B)\\n\\nprint(max(A[-1]-A[0],B[-1]-A[0],A[-1]-A[0],B[-1]-B[0]))\", \"n = int(input())\\nu = []\\nv = []\\nfor i in range(n):\\n    x, y = map(int, input().split())\\n    u.append(x + y)\\n    v.append(x - y)\\n    \\nu.sort()\\nv.sort()\\nprint(max(u[-1] - u[0], v[-1] - v[0]))\", \"import sys\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    N = int(input())\\n    dx = []\\n    dy = []\\n    for _ in range(N):\\n        x, y = map(int, input().split())\\n        dx.append(x + y)\\n        dy.append(x - y)\\n    dx.sort()\\n    dy.sort()\\n    print(max(dx[N-1] - dx[0], dy[N-1] - dy[0]))\\n\\n    return\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"n=int(input())\\na,b,c,d=-10**9,10**9,-10**9,10**9\\nfor _ in range(n):\\n\\tx,y=map(int,input().split())\\n\\ta=max(a,x+y)\\n\\tb=min(b,x+y)\\n\\tc=max(c,x-y)\\n\\td=min(d,x-y)\\nprint(max(a-b,c-d))\", \"n=int(input())\\nxy=[list(map(int, input().split())) for i in range(n)]\\nz=list(map(lambda x: x[0]+x[1], xy))\\nw=list(map(lambda x: x[0]-x[1], xy))\\nprint(max(max(z)-min(z), max(w)-min(w)))\", \"N = int(input())\\nx, y = map(int, input().split())\\nd = [x - y, x - y, x + y, x + y]\\nfor i in range(1,N):\\n  x, y = map(int, input().split())\\n  d[0] = max(d[0], x-y)\\n  d[1] = min(d[1], x-y)\\n  d[2] = max(d[2], x+y)\\n  d[3] = min(d[3], x+y)\\nprint(max(d[0]-d[1], d[2]-d[3]))\", \"# coding: utf-8\\n# Your code here!\\nN=int(input())\\n\\nZ=[]\\nW=[]\\n\\nfor _ in range(N):\\n    x,y=map(int,input().split())\\n    Z.append(x+y)\\n    W.append(x-y)\\n    \\nprint(max(max(Z)-min(Z),max(W)-min(W)))\", \"n = int(input())\\nxy_array = [list(map(int, input().split())) for _ in range(n)]\\n\\nth = pow(10, 9)\\nright_up_max = -th\\nleft_down_min = th\\nleft_up_max = -th\\nright_down_min = th\\n\\nfor x, y in xy_array:\\n    right_up_max = max(x + y, right_up_max)\\n    left_down_min = min(x + y, left_down_min)\\n    left_up_max = max(x - y, left_up_max)\\n    right_down_min = min(x - y, right_down_min)\\n\\nans = max(right_up_max - left_down_min, left_up_max - right_down_min)\\nprint(ans)\", \"# import itertools\\n# import math\\n# from functools import reduce\\n# import sys\\n# sys.setrecursionlimit(500*500)\\n# import numpy as np\\n# from collections import deque\\n# import heapq\\n\\n# \\u5165\\u529b\\nN = int(input())\\n# S = input()\\n# n, *a = map(int, open(0))\\n# H, N = map(int, input().split())\\n# A = list(map(int, input().split()))\\n# A = list(map(lambda x: int(x)*(-1), input().split()))\\n# B = list(map(int, input().split()))\\nx_y = [list(map(int,input().split())) for _ in range(N)]\\n# S = input()\\n\\n# B_C = sorted(B_C, reverse=True, key=lambda x:x[1])\\n# all_cases = list(itertools.permutations(P))\\n# a = list(itertools.combinations_with_replacement(range(1, M + 1), N))\\n# itertools.product((0,1), repeat=n)\\n\\n# A = np.array(A)\\n# cum_A = np.cumsum(A)\\n# cum_A = np.insert(cum_A, 0, 0)\\n\\n# edges = [list(map(int,input().split())) for _ in range(N - 1)]\\n# tree = [[] for _ in range(N + 1)]\\n\\n# for edge in edges:\\n#     tree[edge[0]].append(edge[1])\\n#     tree[edge[1]].append(edge[0])\\n\\n# depth = [-1] * (N + 1)\\n# depth[1] = 0\\n# count = [0] * (N + 1)\\n\\n# for i in range(Q):\\n#     p, x = map(int, input().split())\\n#     count[p] += x\\n\\n# def dfs(tree, s):\\n#     for l in tree[s]:\\n#         if depth[l[0]] == -1:\\n#             depth[l[0]] = depth[s] + 1\\n#             dfs(tree, l[0])\\n# dfs(tree, 1)\\n\\n# \\u7d20\\u56e0\\u6570\\u5206\\u89e3\\n# def factorization(n):\\n#     arr = []\\n#     temp = n\\n#     for i in range(2, int(-(-n**0.5//1))+1):\\n#         if temp%i==0:\\n#             cnt=0\\n#             while temp%i==0:\\n#                 cnt+=1\\n#                 temp //= i\\n#             arr.append([i, cnt])\\n#     if temp!=1:\\n#         arr.append([temp, 1])\\n#     if arr==[]:\\n#         arr.append([n, 1])\\n#     return arr\\n\\n# \\u7d04\\u6570\\u5217\\u6319\\n# def make_divisors(n):\\n#     lower_divisors , upper_divisors = [], []\\n#     i = 1\\n#     while i*i <= n:\\n#         if n % i == 0:\\n#             lower_divisors.append(i)\\n#             if i != n // i:\\n#                 upper_divisors.append(n//i)\\n#         i += 1\\n#     return lower_divisors + upper_divisors[::-1]\\n\\n# bfs\\n# tree = [[] for _ in range(N + 1)]\\n# edges = [list(map(int,input().split())) for _ in range(M)]\\n\\n# for edge in edges:\\n#     tree[edge[0]].append(edge[1])\\n#     tree[edge[1]].append(edge[0])\\n\\n# depth = [-1] * (N + 1)\\n# depth[1] = 0\\n\\n# d = deque()\\n# d.append(1)\\n\\n# ans = [0] * (N + 1)\\n# while d:\\n#  v = d.popleft()\\n#  for i in tree[v]:\\n#    if depth[i] != -1:\\n#      continue\\n#    depth[i] = depth[v] + 1\\n#    ans[i] = v\\n#    d.append(i)\\n\\n# # ans = depth[2:]\\n# print('Yes')\\n# print(*ans[2:], sep=\\\"\\\\n\\\")\\n\\n# def gcd_list(numbers):\\n#     return reduce(math.gcd, numbers)\\n\\n# # \\u9ad8\\u901f\\u7d20\\u56e0\\u6570\\u5206\\u89e3\\u6e96\\u5099\\n# MAXN = 10**6+10\\n# sieve = [i for i in range(MAXN+1)]\\n# p = 2\\n# while p*p <= MAXN:\\n#     if sieve[p] == p:\\n#         for q in range(2*p, MAXN+1, p):\\n#             if sieve[q] == q:\\n#                 sieve[q] = p\\n#     p += 1\\n\\n\\n# 45\\u5ea6\\u56de\\u8ee2\\nZ = []\\nW = []\\nfor l in x_y:\\n    Z.append(l[0] + l[1])\\n    W.append(l[0] - l[1])\\n\\nprint(max((max(Z) - min(Z)), (max(W) - min(W))))\", \"a,b=[],[]\\nn=int(input())\\nfor _ in range(n):\\n  x,y=map(int,input().split())\\n  a+=[x-y]\\n  b+=[x+y]\\nprint(max(max(a)-min(a),max(b)-min(b)))\", \"n=int(input())\\na,b=[],[]\\nfor i in range(n):\\n  x,y=list(map(int,input().split()))\\n  a.append(x+y)\\n  b.append(x-y)\\nprint((max(max(a)-min(a),max(b)-min(b))))\\n\", \"N = int(input())\\na = []\\nb = []\\nfor i in range(N):\\n  x,y = map(int, input().split())\\n  a.append(x+y)\\n  b.append(x-y)\\n\\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\nprint(ans)\", \"n = int(input())\\na = [0] * n\\nb = [0] * n\\nfor i in range(n):\\n    x, y = list(map(int, input().split()))\\n    a[i] = x + y\\n    b[i] = x - y\\nprint((max(max(a) - min(a), max(b) - min(b))))\\n\", \"N=int(input())\\n\\na,b=[],[]\\n\\nfor i in range(N):\\n  x,y=map(int,input().split())\\n  a.append(x+y)\\n  b.append(x-y)\\na.sort()\\nb.sort()\\n\\nans=max(a[-1]-a[0],b[-1]-b[0])\\nprint(ans)\", \"n=int(input())\\na=[]\\nj=k=0\\ndef s(a):\\n    return a[0]+a[1]\\ndef ss(a):\\n    return a[0]-a[1]\\nfor i in range(n):\\n    f=list(map(int,input().split()))\\n    a.append(f)\\naa=min(map(s,a))\\nb=max(map(s,a))\\nc=min(map(ss,a))\\nd=max(map(ss,a))\\nprint(max(abs(d-c),abs(b-aa)))\", \"n = int(input())\\na, b = [], []\\nfor _ in range(n):\\n    x, y = map(int, input().split())\\n    a.append(x+y)\\n    b.append(x-y)\\n \\na.sort()\\nb.sort()\\n \\nans = max(a[-1]-a[0], b[-1]-b[0])\\nprint(ans)\", \"n=int(input())\\nl=[]\\nar=[]\\nbr=[]\\nfor i in range(n):\\n  l.append(list(map(int,input().split())))\\n  ar.append(l[-1][0]+l[-1][1])\\n  br.append(l[-1][0]-l[-1][1])\\nar.sort()\\nbr.sort()\\nan=max(abs(ar[-1]-ar[0]),abs(br[-1]-br[0]))\\nprint(an)\", \"N = int(input())\\nXY = [list(map(int, input().split())) for _ in range(N)]\\n\\nz = []\\nw = []\\nfor x, y in XY:\\n    z.append(x + y)\\n    w.append(x - y)\\n\\nprint(max(max(z) - min(z), max(w) - min(w)))\", \"n=int(input())\\nmaxa=maxb=-2e9\\nmina=minb=2e9\\nfor i in range(n):\\n  x,y=list(map(int,input().split()))\\n  maxa=max(maxa,x+y)\\n  mina=min(mina,x+y)\\n  maxb=max(maxb,x-y)\\n  minb=min(minb,x-y)\\nprint((max(maxa-mina,maxb-minb)))\\n\", \"N = int(input())\\nL = [[int(l) for l in input().split()] for _ in range(N)]\\n\\nL1 = [0]*N\\nL2 = [0]*N\\nfor i in range(N):\\n    L1[i] = L[i][0]+L[i][1]\\n    L2[i] = L[i][0]-L[i][1]\\n\\nL1.sort()\\nL2.sort()\\nprint(max(L1[-1]-L1[0], L2[-1]-L2[0]))\", \"N = int(input())\\nxy = [list(map(int, input().split())) for _ in range(N)]\\n\\nadd = sorted([x+y for x, y in xy])\\nsub = sorted([x-y for x, y in xy])\\n\\nprint(max(add[-1]-add[0], sub[-1]-sub[0]))\", \"n=int(input())\\nlx=[]\\nly=[]\\nfor i in range(n):\\n  x,y=map(int,input().split())\\n  lx.append(x+y)\\n  ly.append(x-y)\\nprint(max(max(lx)-min(lx),max(ly)-min(ly)))\", \"N = int(input())\\nl0 = [[int(i) for i in input().split()] for _ in range(N)]\\nl1 = [0] * N\\nl2 = [0] * N\\nfor cnt, val in enumerate(l0):\\n    l1[cnt] = val[0] + val[1]\\n    l2[cnt] = val[0] - val[1]\\nl1.sort()\\nl2.sort()\\nprint((max(l1[-1] - l1[0], l2[-1] - l2[0])))\\n\", \"def main():\\n    n = int(input())\\n    xym, xyM, x_ym, x_yM = 10**9, -10**9, 10**9, -10**9\\n    for _ in range(n):\\n        x, y = map(int, input().split())\\n        xy, x_y = x+y, x-y\\n        xym, xyM, x_ym, x_yM = min(xym, xy), max(xyM, xy), min(x_ym, x_y), max(x_yM, x_y)\\n    print(max(xyM-xym, x_yM-x_ym))\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N=int(input())\\nA=[0]*(N)\\nB=[0]*(N)\\nfor i in range(N):\\n    x,y=map(int, input().split())\\n    A[i]=x+y\\n    B[i]=x-y\\n\\nA=sorted(A)\\nB=sorted(B)\\n\\nprint(max(A[-1]-A[0],B[-1]-A[0],A[-1]-A[0],B[-1]-B[0]))\", \"n = int(input())\\nu = []\\nv = []\\nfor i in range(n):\\n    x, y = map(int, input().split())\\n    u.append(x + y)\\n    v.append(x - y)\\n    \\nu.sort()\\nv.sort()\\nprint(max(u[-1] - u[0], v[-1] - v[0]))\", \"N = int(input())\\nA = []; B = []\\nfor i in range(N):\\n  x,y = map(int,input().split())\\n  a = x+y; A.append(a)\\n  b = x-y; B.append(b)\\nA.sort();B.sort()\\nMax_A = A[-1] - A[0]\\nMax_B = B[-1] - B[0]\\nans = max(Max_A,Max_B)\\nprint(ans)\", \"import sys\\n\\nleft_right_max = 0\\nleft_right_min = float('inf')\\nright_left_max = float('-inf')\\nright_left_min = float('inf')\\nr3_max = float('-inf')\\nr3_min = float('inf')\\n\\nn = int(sys.stdin.readline().strip())\\n\\nfor idx in range(n):\\n    x, y = sys.stdin.readline().strip().split(' ')\\n    x = int(x)\\n    y = int(y)\\n\\n    left_right_tmp = x + y\\n    if left_right_tmp > left_right_max:\\n        left_right_max = left_right_tmp\\n      \\n    if left_right_tmp < left_right_min:\\n        left_right_min = left_right_tmp\\n        #res_lr[2] = (x, y)\\n\\n    right_left_tmp = x - y\\n    if right_left_tmp > right_left_max:\\n        right_left_max = right_left_tmp\\n        #res_rl[1] = (x, y)\\n    if right_left_tmp < right_left_min:\\n        right_left_min = right_left_tmp\\n        #res_rl[2] = (x, y)\\n        \\n    r3_tmp = y - x\\n    if r3_tmp > r3_max:\\n        r3_max = r3_tmp\\n        #res_3[1] = (x, y)\\n    if r3_tmp < r3_min:\\n        r3_min = r3_tmp\\n        #res_3[2] = (x, y)\\n\\nreslr_dist = left_right_max - left_right_min\\nresrl_dist = right_left_max - right_left_min\\nres3_dist = r3_max - r3_min\\n\\nprint((max(resrl_dist, reslr_dist, res3_dist)))\\n\", \"N = int(input())\\nlst = []\\nfor i in range(N):\\n    lst.append(tuple(map(lambda i: int(i), input().split())))\\nlstP = [xy[0]+xy[1] for xy in lst]\\nlstM = [xy[0]-xy[1] for xy in lst]\\nlstP, lstM\\nz = max(lstP) - min(lstP)\\nw = max(lstM) - min(lstM)\\nprint(max(z,w))\", \"import sys\\nfrom operator import itemgetter\\n\\nN = int(input())\\nV = set()\\nfor s in sys.stdin.readlines():\\n    x, y = list(map(int, s.split()))\\n    V.add((x + y, x - y))\\n\\ny_max = max(V, key=itemgetter(1))[1]\\ny_min = min(V, key=itemgetter(1))[1]\\nx_max = max(V, key=itemgetter(0))[0]\\nx_min = min(V, key=itemgetter(0))[0]\\n\\nprint((max(x_max - x_min, y_max - y_min)))\\n\", \"N = int(input())\\na = list()\\nb = list()\\nfor i in range(N):\\n  x,y = map(int, input().split())\\n  a.append(x+y)\\n  b.append(x-y)\\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\nprint(ans)\", \"def get_ints():\\n    return list(map(int,input().split()))\\n\\nn = int(input())\\na, b = [], []\\nfor i in range(n):\\n    x, y = get_ints()\\n    a.append(x-y)\\n    b.append(x+y)\\n\\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\nprint(ans)\", \"\\\"\\\"\\\"AtCoder Beginner Contest 178.\\n\\nE\\n\\\"\\\"\\\"\\n\\nimport sys\\n\\n\\ndef input() -> str:  # noqa: A001\\n    \\\"\\\"\\\"Input.\\\"\\\"\\\"\\n    return sys.stdin.readline()[:-1]\\n\\n\\ndef calc(p1: list, p2: list) -> int:\\n    \\\"\\\"\\\"Calc Manhattan Distance.\\\"\\\"\\\"\\n    return abs(p2[1] - p1[1]) + abs(p2[0] - p1[0])\\n\\n\\ndef main():\\n    \\\"\\\"\\\"Run.\\\"\\\"\\\"\\n    n = int(input())\\n\\n    patterns = {\\n        'lt': (1, 1),\\n        'rt': (-1, 1),\\n        'lb': (-1, -1),\\n        'rb': (1, -1),\\n    }\\n\\n    points: dict = {k: None for k in list(patterns.keys())}\\n\\n    for _ in range(n):\\n        p = list(map(int, input().split(' ')))\\n\\n        for k, (x, y) in list(patterns.items()):\\n            max_p = points[k]\\n\\n            if max_p:\\n                max_p_pos = (max_p[0] * x) + (max_p[1] * y)\\n                p_pos = (p[0] * x) + (p[1] * y)\\n                if max_p_pos < p_pos:\\n                    points[k] = p\\n            else:\\n                points[k] = p\\n\\n    ans = 0\\n    for i, p1 in enumerate(points.values()):\\n        for p2 in list(points.values())[i + 1:]:\\n            ans = max(ans, calc(p1, p2))\\n\\n    print(ans)\\n\\n\\nmain()\\n\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN = int(readline())\\nX,Y = [None] * N, [None] * N\\nfor i in range(N):\\n  x,y = list(map(int,readline().split()))\\n  X[i],Y[i] = x + y,x - y\\n\\nprint((max(abs(max(X) - min(X)),abs(max(Y) - min(Y)))))\\n\", \"n = int(input())\\na, b = [], []\\nfor _ in range(n):\\n    x, y = map(int, input().split())\\n    a.append(x+y)\\n    b.append(x-y)\\n\\na.sort()\\nb.sort()\\n\\nans = max(a[-1]-a[0], b[-1]-b[0])\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\n\\ndef get_points_and_convert(pts):\\n    x, y = pts\\n    return x + y, x - y\\n\\n\\ndef main():\\n    n = int(input())\\n    points = [\\n        get_points_and_convert(list(map(int, input().split())))\\n        for _ in range(n)\\n    ]\\n    plus_coords, minus_coords = list(zip(*points))\\n    plus_dist = max(plus_coords) - min(plus_coords)\\n    minus_dist = max(minus_coords) - min(minus_coords)\\n    print((max(plus_dist, minus_dist)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nXY = [[int(_) for _ in input().split()] for _ in range(N)]\\nans = -1\\nfor dx, dy in ((1, 1), (-1, 1), (-1, -1), (1, -1)):\\n    xy2 = [x * dx + y * dy for x, y in XY]\\n    ans = max(ans, max(xy2) - min(xy2))\\nprint(ans)\\n\", \"N = int(input())\\nA = [0]*N\\nB = [0]*N\\nfor i in range(N):\\n  x,y = map(int,input().split())\\n  A[i] = x+y\\n  B[i] = x-y\\na = max(A)-min(A)\\nb = max(B)-min(B)\\nprint(max(a,b))\", \"n = int(input())\\nl = [[] for i in range(4)]\\nfor i in range(n):\\n    x, y = list(map(int, input().split()))\\n    l[0].append(x+y)\\n    l[1].append(x-y)\\n    l[2].append(-x+y)\\n    l[3].append(-x-y)\\nfor i in range(4):\\n    l[i].sort()\\nans = 0\\nfor i in range(4):\\n    ans = max(ans, l[i][-1] - l[i][0])\\nprint(ans)\\n\", \"N = int(input())\\na = []\\nb = []\\nfor i in range(N):\\n  x,y = map(int,input().split())\\n  a.append(x-y)\\n  b.append(x+y)\\n  \\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\nprint(ans)\", \"N=int(input())\\nzls=[0 for _ in range(N)]\\nwls=[0 for _ in range(N)]\\nfor i in range(N):\\n  x,y=[int(s) for s in input().split()]\\n  zls[i]=x+y\\n  wls[i]=x-y\\nprint(max([max(zls)-min(zls),max(wls)-min(wls)]))\", \"n=int(input())\\na=[]\\nb=[]\\nfor i in range(n):\\n  x,y=map(int,input().split())\\n  a.append(x+y)\\n  b.append(x-y)\\nprint(max(max(a)-min(a),max(b)-min(b)))\", \"import sys\\nimport re\\nimport queue\\nfrom math import ceil, floor, sqrt, pi, factorial, gcd\\nfrom copy import deepcopy\\nfrom collections import Counter, deque\\nfrom heapq import heapify, heappop, heappush\\nfrom itertools import accumulate, product, combinations, combinations_with_replacement\\nfrom bisect import bisect, bisect_left, bisect_right\\nfrom functools import reduce\\nfrom decimal import Decimal, getcontext\\n# input = sys.stdin.readline\\ndef i_input(): return int(input())\\ndef i_map(): return map(int, input().split())\\ndef i_list(): return list(i_map())\\ndef i_row(N): return [i_input() for _ in range(N)]\\ndef i_row_list(N): return [i_list() for _ in range(N)]\\ndef s_input(): return input()\\ndef s_map(): return input().split()\\ndef s_list(): return list(s_map())\\ndef s_row(N): return [s_input for _ in range(N)]\\ndef s_row_str(N): return [s_list() for _ in range(N)]\\ndef s_row_list(N): return [list(s_input()) for _ in range(N)]\\ndef lcm(a, b): return a * b // gcd(a, b)\\nsys.setrecursionlimit(10 ** 6)\\nINF = float('inf')\\nMOD = 10 ** 9 + 7\\nnum_list = []\\nstr_list = []\\n\\n\\n\\ndef main():\\n\\tN = i_input()\\n\\n\\tx_y_list = []\\n\\n\\tfor i in range(0,N):\\n\\t\\ttmpx,tmpy = i_map()\\n\\t\\tx_y_list.append((tmpx,tmpy))\\n\\n\\tz_list = []\\n\\tw_list = []\\n\\tfor i in range(0,N):\\n\\t\\ttmpz = x_y_list[i][0] + x_y_list[i][1]\\n\\t\\ttmpw = x_y_list[i][0] - x_y_list[i][1]\\n\\t\\tz_list.append(tmpz)\\n\\t\\tw_list.append(tmpw)\\n\\n\\tprint(max(max(map(lambda x : (x),z_list))-min(map(lambda x: (x), z_list)),max(map(lambda x : (x),w_list))-min(map(lambda x: (x),w_list))))\\n\\t\\n\\treturn\\n\\n\\ndef __starting_point():\\n\\tmain()\\n__starting_point()\", \"n=int(input())\\na,b,c,d=2*10**9,0,10**9,-10**9\\n\\nfor i in range(n):\\n  x,y=list(map(int,input().split()))\\n  a=a if a<x+y else x+y\\n  b=b if b>x+y else x+y\\n  c=c if c<y-x else y-x\\n  d=d if d>y-x else y-x\\n\\nprint((b-a if b-a>d-c else d-c))\\n\", \"n=int(input())\\np=[]\\nq=[]\\nfor _ in range(n):\\n  x,y=map(int,input().split())\\n  p.append(x+y)\\n  q.append(x-y)\\nprint(max(max(p)-min(p),max(q)-min(q)))\", \"n=int(input())\\nl=[list(map(int,input().split())) for i in range(n)]\\na=10**9\\nz_max=-1*a\\nz_min=a\\nw_max=-1*a\\nw_min=a\\nfor x,y in l: #\\u70b9\\u306ex\\u5ea7\\u6a19\\u3068y\\u5ea7\\u6a19\\u306e\\u548c\\u306e\\u6700\\u5927\\u5024\\u3068\\u6700\\u5c0f\\u5024\\u306e\\u5dee\\u304b\\u5ea7\\u6a19\\u306e\\u5dee\\u306e\\u6700\\u5927\\u5024\\u3068\\u6700\\u5c0f\\u5024\\u306e\\u5dee\\u304c\\u7b54\\u3048\\n  z_max=max(z_max,x+y)\\n  z_min=min(z_min,x+y)\\n  w_max=max(w_max,x-y)\\n  w_min=min(w_min,x-y)\\nprint(max(z_max-z_min,w_max-w_min))\", \"n = int(input())\\nu = []\\nv = []\\nfor i in range(n):\\n    x, y = map(int, input().split())\\n    u.append(x + y)\\n    v.append(x - y)\\n    \\nu.sort()\\nv.sort()\\nprint(max(u[-1] - u[0], v[-1] - v[0]))\", \"n = int(input())\\nxy_array = [list(map(int, input().split())) for _ in range(n)]\\n\\nth = pow(10, 9)\\nz_max = -th\\nz_min = th\\nw_max = -th\\nw_min = th\\n\\nfor x, y in xy_array:\\n    z_max = max(x + y, z_max)\\n    z_min = min(x + y, z_min)\\n    w_max = max(x - y, w_max)\\n    w_min = min(x - y, w_min)\\n\\nans = max(z_max - z_min, w_max - w_min)\\nprint(ans)\", \"n = int(input())\\n\\nxy = []\\nfor index in range(n):\\n  x, y = map(int, input().split())\\n  xy.append([x, y])\\n\\npos_max = xy[0][0]+xy[0][1]\\npos_min = xy[0][0]+xy[0][1]\\nneg_max = xy[0][0]-xy[0][1]\\nneg_min = xy[0][0]-xy[0][1]\\nfor item in xy:\\n  pos_v = item[0] + item[1]\\n  neg_v = item[0] - item[1]\\n  pos_max = pos_v if pos_v > pos_max else pos_max\\n  pos_min = pos_v if pos_v < pos_min else pos_min\\n  neg_max = neg_v if neg_v > neg_max else neg_max\\n  neg_min = neg_v if neg_v < neg_min else neg_min\\n\\npos_result = pos_max - pos_min\\nneg_result = neg_max - neg_min\\nprint(pos_result if pos_result >= neg_result else neg_result)\", \"n = int(input())\\nu = []\\nv = []\\nfor _ in range(n):\\n    x, y = list(map(int, input().split()))\\n    u.append(x + y)\\n    v.append(x - y)\\n\\nans = max(max(u) - min(u), max(v) - min(v))\\nprint(ans)\\n\", \"import numpy as np\\ndef solve(n, x, y):\\n    x = np.asarray(x)\\n    y = np.asarray(y)\\n    z = x + y\\n    w = x - y\\n    return max(np.max(z) - np.min(z), np.max(w) - np.min(w))\\n\\nn = int(input())\\nx, y = list(zip(*[list(map(int, input().split())) for i in range(n)]))\\nprint((solve(n, x, y)))\\n\", \"import sys\\ndef Ii():return int(sys.stdin.readline())\\ndef Mi():return map(int,sys.stdin.readline().split())\\ndef Li():return list(map(int,sys.stdin.readline().split()))\\n\\nn = Ii()\\nans = 0\\npoints = []\\nxymax = 0\\nxymin = 10**11\\ndxymax = -10**11\\ndxymin = 10**11\\nfor i in range(n):\\n  point = Li()\\n  xy = point[0]+point[1]\\n  if xy > xymax:\\n    xymax = xy\\n  if xy < xymin:\\n    xymin = xy\\n  dxy = point[0]-point[1]\\n  if dxy > dxymax:\\n    dxymax = dxy\\n  if dxy < dxymin:\\n    dxymin = dxy\\nans = max(dxymax-dxymin,xymax-xymin)\\nprint(ans)\", \"n = int(input())\\n# n = 2*10**5\\n\\nmin_u = float('inf')\\nmax_u = -float('inf')\\nmin_v = float('inf')\\nmax_v = -float('inf')\\n\\n\\nfor i in range(n):\\n    x, y = list(map(int, input().split()))\\n    # x, y = (10**9 , 10**9)\\n    u, v = (x+y, x-y)\\n    if u <= min_u:\\n        min_u = u\\n    if u >= max_u:\\n        max_u = u\\n    if v <= min_v:\\n        min_v = v\\n    if v >= max_v:\\n        max_v = v\\n\\nprint((max(max_u - min_u, max_v - min_v)))\\n\", \"import numpy as np\\n\\nN = int(input())\\nxy = [list(map(int, input().split())) for _ in range(N)]\\n\\nxy45 = [[xy[i][0] - xy[i][1], xy[i][0] + xy[i][1]] for i in range(N)]\\nxy45 = np.array(xy45)\\n\\nprint((max(max(xy45[:, 0]) - min(xy45[:, 0]), max(xy45[:, 1]) - min(xy45[:, 1]))))\\n\", \"import sys\\n\\n\\ndef input():\\n    return sys.stdin.readline()[:-1]\\n\\n\\nN = int(input())\\n\\nplus = []\\nminus = []\\nfor _ in range(N):\\n    x, y = list(map(int, input().split()))\\n    plus.append(x+y)\\n    minus.append(x-y)\\n\\nprint((max(max(plus)-min(plus), max(minus)-min(minus))))\\n\", \"n = int(input())\\n\\nplus,minus = [],[]\\nfor i in range(n):\\n    a,b = map(int,input().split())\\n    plus.append(a+b)\\n    minus.append(a-b)\\n\\nplus.sort()\\nminus.sort()\\n\\nprint(max(plus[-1]-plus[0],minus[-1]-minus[0]))\", \"def get_ints():\\n  return list(map(int,input().split()))\\n\\nn = int(input())\\na,b = [],[]\\nfor i in range(n):\\n  x,y = get_ints()\\n  a.append(x+y)\\n  b.append(x-y)\\n\\na.sort()\\nb.sort()\\nans = max(a[-1]-a[0], b[-1]-b[0])\\nprint(ans)\\n\\n\\n\\n\", \"n = int(input())\\npoints = [tuple(map(int, input().split())) for _ in range(n)]\\nplus = [p[0] + p[1] for p in points]\\nminus = [p[0] - p[1] for p in points]\\nprint(max(max(plus) - min(plus), max(minus) - min(minus)))\", \"n = int(input())\\na, b = [], []\\n\\nfor _ in range(n):\\n    x, y = list(map(int, input().split()))\\n    a.append(x - y)\\n    b.append(x + y)\\n\\nans = max(max(a) - min(a), max(b) - min(b))\\nprint(ans)\\n\", \"N = int(input())\\nx = [0 for _ in range(N)]\\ny = [0 for _ in range(N)]\\n\\nfor i in range(N):\\n    x[i], y[i] = map(int,input().split())\\n\\nX = [0 for _ in range(N)]\\nY = [0 for _ in range(N)]\\n\\nfor i in range(N):\\n    X[i], Y[i] = x[i] - y[i], x[i] + y[i]\\n\\nans = 0\\nans = max(max(X)-min(X),max(Y)-min(Y))\\n\\nprint(ans)\", \"def main():\\n    n = int(input())\\n    X, Y = [], []\\n    for _ in range(n):\\n        x, y = list(map(int, input().split()))\\n        X.append(x + y)\\n        Y.append(x - y)\\n    X.sort()\\n    Y.sort()\\n    print((max(X[-1] - X[0], Y[-1] - Y[0])))\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"import numpy as np\\nN = int(input())\\n\\nx = []\\ny = []\\nxy1 = []\\nxy2 = []\\n\\nfor i in range(N):\\n    a, b = (int(t) for t in input().split())\\n    x.append(a)\\n    y.append(b)\\n    xy1.append(a + b)\\n    xy2.append(a - b)\\n\\nmax1 = max(xy1) - min(xy1)\\nmax2 = max(xy2) - min(xy2)\\nprint((max((max1, max2))))\\n\", \"def manhattan(n, x, y):\\n    x2 = [0] * n\\n    y2 = [0] * n\\n    for i in range(n):\\n        x2[i] = x[i] - y[i]\\n        y2[i] = x[i] + y[i]\\n    print((max(max(x2) - min(x2), max(y2) - min(y2))))\\n\\nn = int(input())\\nx = [0] * n\\ny = [0] * n\\nfor i in range(n):\\n    x[i] , y[i] = list(map(int, input().split()))\\nmanhattan(n, x, y)\\n\", \"# -*- coding: utf-8 -*-\\n\\nN = int(input())\\n\\nXY = []\\nfor n in range(N):\\n    (x, y) = (int(i) for i in input().split())\\n    XY.append([x, y])\\n\\nplus = []\\nminus = []\\nfor [x, y] in XY:\\n    plus.append(x + y)\\n    minus.append(x - y)\\n\\nprint((max(max(plus)- min(plus), max(minus) - min(minus))))\\n\", \"_,*Z=open(0);A,B=[],[]\\nfor z in Z:x,y=map(int,z.split());A+=[x+y];B+=[x-y]\\nprint(max(max(A)-min(A),max(B)-min(B)))\", \"N=int(input())\\na = []\\nb = []\\nfor i in range(N):\\n  x,y=map(int,input().split())\\n  a.append(x+y)\\n  b.append(x-y)\\nA = max(a)-min(a)\\nB = max(b)-min(b)\\nprint(max(A,B))\", \"n=int(input())\\nzmi=wmi=int(1e+10)\\nzma=wma=int(-1e+10)\\nfor i in range(n):\\n    xi,yi=list(map(int,input().split()))\\n    zma=max(xi+yi,zma)\\n    wma=max(xi-yi,wma)\\n    zmi=min(xi+yi,zmi)\\n    wmi=min(xi-yi,wmi)\\nprint((max(zma-zmi,wma-wmi)))\\n\", \"n = int(input())\\nk = [0] * n\\nl = [0] * n\\nfor i in range(n):\\n  x, y = [int(i) for i in input().split()]\\n  k[i] = x + y\\n  l[i] = x - y\\nprint(max(max(k)-min(k), max(l)-min(l)))\", \"def main():\\n    N = int(input())\\n    x, y = list(map(int, input().split()))\\n    a1 = x + y\\n    a2 = x + y\\n    b1 = y - x\\n    b2 = y - x\\n    N -= 1\\n    while N != 0:\\n        x, y = list(map(int, input().split()))\\n        a1 = max(a1, x + y)\\n        a2 = min(a2, x + y)\\n        b1 = max(b1, y - x)\\n        b2 = min(b2, y - x)\\n        N = N - 1\\n    print((max(a1 - a2, b1 - b2)))\\n\\nmain()\\n\", \"N =  int(input())\\nA =  [list(map(int, (input().split(' ')))) for i in range(N)]\\n\\nhoge = [sum(a) for a in A]\\nfuga = [a[0] - a[1] for a in A]\\nprint((max(max(hoge) - min(hoge), max(fuga) - min(fuga))))\\n\", \"n = int(input())\\n\\np_one = input()\\np_one_list = p_one.split(' ')\\n\\nzmax = int(p_one_list[0]) + int(p_one_list[1])\\nzmin = int(p_one_list[0]) + int(p_one_list[1])\\nwmax = int(p_one_list[0]) - int(p_one_list[1])\\nwmin = int(p_one_list[0]) - int(p_one_list[1])\\n\\n\\nfor i in range(1, n):\\n    line = input()\\n    tmp = line.split(' ')\\n    z = int(tmp[0]) + int(tmp[1])\\n    w = int(tmp[0]) - int(tmp[1])\\n    zmax = max(zmax, z)\\n    wmax = max(wmax, w)\\n    zmin = min(zmin, z)\\n    wmin = min(wmin, w)\\n\\n\\nz_ans = zmax - zmin\\nw_ans = wmax - wmin\\n\\n\\nprint(f'{max(z_ans, w_ans)}')\\n\", \"N=int(input())\\nL=[list(map(int,input().split())) for i in range(N)]\\nzmax=zmin=L[0][0]+L[0][1]\\nwmax=wmin=L[0][0]-L[0][1]\\nfor a,b in L:\\n    z,w=a+b,a-b\\n    zmax=max(zmax,z)\\n    zmin=min(zmin,z)\\n    wmax=max(wmax,w)\\n    wmin=min(wmin,w)\\nprint(max(zmax-zmin,wmax-wmin))\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nimport heapq#.heapify:Priority Queue\\u306b\\u5909\\u63db \\n#.heappop:\\u6700\\u5c0f\\u5024\\u53d6\\u5f97, .heappush:\\u8981\\u7d20\\u633f\\u5165\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\nimport numpy as np  \\nfrom scipy.spatial.distance import euclidean, cityblock  \\n\\nn = k()\\np = 0\\n\\na = []\\nb = []\\nfor i in range(n):\\n    A,B = I()\\n    a.append(A)\\n    b.append(B)\\n\\nz = []\\nw = []\\n\\nfor i in range(n):\\n    z.append(a[i]+b[i])\\n    w.append(a[i]-b[i])\\n\\nprint((max(max(z)-min(z), max(w)-min(w))))\\n\", \"N = int(input())\\na,b = [], []\\nfor i in range(N):\\n  x,y = map(int, input().split())\\n  a.append(x-y)\\n  b.append(x+y)\\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\nprint(ans)\", \"n=int(input())\\na,b,c,d=2*10**9,0,10**9,-10**9\\n\\nfor i in range(n):\\n  x,y=list(map(int,input().split()))\\n  a=min(a,x+y)\\n  b=max(b,x+y)\\n  c=min(c,y-x)\\n  d=max(d,y-x)\\n\\nprint((max(b-a,d-c)))\\n\", \"n = int(input())\\nz = []\\nw = []\\nfor i in range(n):\\n    x,y = map(int,input().split())\\n    z.append(x+y)\\n    w.append(x-y)\\nzmax = max(z)-min(z)\\nwmax = max(w)-min(w)\\nprint(max(zmax,wmax))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\nn = int(input())\\nA = [[int(i) for i in input().split()]for j in range(n)]    # n\\u306f\\u884c\\u6570\\n\\ntmp = 0\\nres = 0\\n\\nul = INF\\nur = INF\\nbl = INF\\nbr = INF\\nul_index = 0\\nur_index = 0\\nbl_index = 1\\nbr_index = 1\\nfor i in range(n):\\n    x, y = A[i]\\n    if x + 10e9 - y <= ul:\\n        ul = x + 10e9 - y\\n        ul_index = i\\n    if 10e9 - x + 10e9 - y <= ur:\\n        ur = 10e9 - x + 10e9 - y\\n        ur_index = i\\n    if x + y <= bl:\\n        bl = x + y\\n        bl_index = i\\n    if 10e9 - x + y <= br:\\n        br = 10e9 - x + y\\n        br_index = i\\nres = max(abs(A[ul_index][0] - A[br_index][0]) + abs(A[ul_index][1] - A[br_index][1]), abs(A[ur_index][0] - A[bl_index][0]) + abs(A[ur_index][1] - A[bl_index][1]))\\n\\nprint(res)\\n\", \"n= int(input())\\na = [list(map(int, input().split())) for i in range(n)]\\nb = []\\nc = []\\nfor i in range(n):\\n  b.append(a[i][0]+a[i][1])\\n  c.append(a[i][0]-a[i][1])\\nmaxbc=[max(b)-min(b), max(c)-min(c)]\\nprint(max(maxbc))\", \"def main():\\n    n = int(input())\\n    pt = []\\n    for _ in range(n):\\n        x,y = map(int,input().split())\\n        pt.append([x,y])\\n    a,b,c = [],[],[]\\n    for p in pt:\\n        a.append(p[0]+p[1])\\n        b.append(p[0]-p[1])\\n        c.append(p[1]-p[0])\\n    ans = 0\\n    if max(a)-min(a)>ans:\\n        ans = max(a)-min(a)\\n    if max(b)-min(b)>ans:\\n        ans = max(b)-min(b)\\n    if max(c)-min(c)>ans:\\n        ans = max(c)-min(c)\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"#!/usr/bin/env python3\\n\\n\\ndef main():\\n    n = int(input())\\n\\n    ls = []\\n    for i in range(n):\\n        p = list(map(int, input().split()))\\n        np = (p[0] + p[1], p[0] - p[1])\\n        ls.append(np)\\n\\n    minx = float(\\\"inf\\\")\\n    miny = float(\\\"inf\\\")\\n    maxx = -float(\\\"inf\\\")\\n    maxy = -float(\\\"inf\\\")\\n\\n    for i in range(len(ls)):\\n        x, y = ls[i]\\n        minx = min(minx, x)\\n        miny = min(miny, y)\\n        maxx = max(maxx, x)\\n        maxy = max(maxy, y)\\n\\n    print((max(maxx - minx, maxy - miny)))\\n\\n\\nmain()\\n\\n\", \"N=int(input())\\nz=[]\\nw=[]\\nfor _ in range(N):\\n    x,y=map(int,input().split())\\n    z.append(x+y)\\n    w.append(x-y)\\nz.sort()\\nw.sort()\\nans=max(abs(z[-1]-z[0]),abs(w[-1]-w[0]))\\nprint(ans)\", \"N = int(input())\\n\\nxyp = []\\nxym = []\\n\\nfor _ in range(N):\\n    x, y = map(int, input().split())\\n    xyp.append(x+y)\\n    xym.append(x-y)\\n    \\nxyp.sort()\\nxym.sort()\\n\\nprint(max(xyp[-1] - xyp[0], xym[-1] - xym[0]))\", \"n = int(input())\\nz,w = [],[]\\nfor _ in range(n):\\n  x,y = map(int,input().split())\\n  z.append(x+y)\\n  w.append(x-y)\\nprint(max(max(z)-min(z),max(w)-min(w)))\", \"import sys\\ninput=sys.stdin.readline\\n\\nn=int(input())\\na,b,c,d=-10**9,10**9,-10**9,10**9\\nfor _ in range(n):\\n\\tx,y=map(int,input().split())\\n\\ta=max(a,x+y)\\n\\tb=min(b,x+y)\\n\\tc=max(c,x-y)\\n\\td=min(d,x-y)\\nprint(max(a-b,c-d))\", \"def solve():\\n    n = int(input())\\n    z = [0 for _ in range(n)]\\n    w = [0 for _ in range(n)]\\n    for i in range(n):\\n        a, b = list(map(int, input().split()))\\n        z[i] = a+b\\n        w[i] = a-b\\n    print((max(max(z)-min(z), max(w)-min(w))))\\n\\n\\ndef __starting_point():\\n    solve()\\n\\n__starting_point()\", \"N = int(input())\\na, b = [], []\\nfor i in range(N):\\n    x, y = list(map(int, input().split()))\\n    a.append(x - y)\\n    b.append(x + y)\\n\\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\n\\nprint(ans)\\n\", \"def ans():\\n    N = int(input())\\n    Z = []  # x + y\\n    W = []  # x - y\\n    for _ in range(N):\\n        x, y = map(int, input().split())\\n        Z.append(x + y)\\n        W.append(x - y)\\n\\n    z_max, z_min = max(Z), min(Z)\\n    w_max, w_min = max(W), min(W)\\n\\n    max_d = max((z_max - z_min, w_max - w_min))\\n    print(max_d)\\n\\n\\ndef __starting_point():\\n    ans()\\n__starting_point()\", \"N = int(input())\\n\\nxpy = []\\nxmy = []\\n\\n\\nfor _ in range(N):\\n    x, y = map(int, input().split())\\n\\n    xpy.append(x + y)\\n    xmy.append(x - y)\\n\\nprint(max(max(xpy) - min(xpy), max(xmy) - min(xmy)))\", \"import sys\\n\\nleft_right_max = 0\\nleft_right_min = float('inf')\\nright_left_max = float('-inf')\\nright_left_min = float('inf')\\nr3_max = float('-inf')\\nr3_min = float('inf')\\n\\nn = int(sys.stdin.readline().strip())\\n\\nfor idx in range(n):\\n    x, y = sys.stdin.readline().strip().split(' ')\\n    x = int(x)\\n    y = int(y)\\n\\n    left_right_tmp = x + y\\n    if left_right_tmp > left_right_max:\\n        left_right_max = left_right_tmp\\n    if left_right_tmp < left_right_min:\\n        left_right_min = left_right_tmp\\n\\n    right_left_tmp = x - y\\n    if right_left_tmp > right_left_max:\\n        right_left_max = right_left_tmp\\n    if right_left_tmp < right_left_min:\\n        right_left_min = right_left_tmp\\n        \\n    r3_tmp = y - x\\n    if r3_tmp > r3_max:\\n        r3_max = r3_tmp\\n    if r3_tmp < r3_min:\\n        r3_min = r3_tmp\\n\\nprint(max(left_right_max - left_right_min, right_left_max - right_left_min, r3_max - r3_min))\"]",
        "difficulty": "interview",
        "input": "3\n1 1\n2 4\n3 2\n",
        "output": "4\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc178/tasks/abc178_e"
    },
    {
        "id": 256,
        "task_id": 2649,
        "test_case_id": 2,
        "question": "There are N points on the 2D plane, i-th of which is located on (x_i, y_i).\nThere can be multiple points that share the same coordinate.\nWhat is the maximum possible Manhattan distance between two distinct points?\nHere, the Manhattan distance between two points (x_i, y_i) and (x_j, y_j) is defined by |x_i-x_j| + |y_i-y_j|.\n\n-----Constraints-----\n - 2 \\leq N \\leq 2 \\times 10^5\n - 1 \\leq x_i,y_i \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\nx_1 y_1\nx_2 y_2\n:\nx_N y_N\n\n-----Output-----\nPrint the answer.\n\n-----Sample Input-----\n3\n1 1\n2 4\n3 2\n\n-----Sample Output-----\n4\n\nThe Manhattan distance between the first point and the second point is |1-2|+|1-4|=4, which is maximum possible.",
        "solutions": "[\"n = int(input())\\na = []\\nb = []\\nfor i in range(n):\\n  x,y = list(map(int, input().split()))\\n  a.append(x+y)\\n  b.append(x-y)\\na.sort()\\nb.sort()\\n\\nans = a[-1]-a[0]\\nc = b[-1]-b[0]\\nprint((max(ans,c)))\\n\", \"\\n\\ndef main():\\n    n = int(input())\\n    z = [[], []]\\n    for i in range(n):\\n        x, y = list(map(int, input().split()))\\n        z[0].append(x + y)\\n        z[1].append(x - y)\\n    z[0] = sorted(z[0])\\n    z[1] = sorted(z[1])\\n    print((max(z[0][-1] - z[0][0], z[1][-1] - z[1][0])))\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def mdmax(x):\\n    a = []\\n    b = []\\n    for i in range(len(x)):\\n        a.append(x[i][0] - x[i][1])\\n        b.append(x[i][0] + x[i][1])\\n    return max(max(a) - min(a), max(b) - min(b))\\n\\nn = int(input())\\ndata = []\\nfor i in range(n):\\n    ininput_data = input()\\n    input_data = list(map(int, ininput_data.split()))\\n    data.append(input_data)\\nprint(mdmax(data))\", \"N = int(input())\\na,b = [], []\\nfor i in range(N):\\n  x,y = map(int, input().split())\\n  a.append(x+y)\\n  b.append(x-y)\\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\nprint(ans)\", \"n = int(input())\\n\\nx, y = [], []\\nfor i in range(n):\\n    xi, yi = map(int, input().split())\\n    x.append(xi+yi)\\n    y.append(xi-yi)\\n\\nx.sort()\\ny.sort()\\n\\nans = max((x[-1]-x[0]), (y[-1]-y[0]))\\nprint(ans)\", \"n = int(input())\\nxy = [list(map(int, input().split())) for i in range(n)]\\nans = []\\nl = [xy[i][0]+xy[i][1] for i in range(n)]\\nans.append(max(l)-min(l))\\nl = [xy[i][0]-xy[i][1] for i in range(n)]\\nans.append(max(l)-min(l))\\nl = [-xy[i][0]+xy[i][1] for i in range(n)]\\nans.append(max(l)-min(l))\\nl = [-xy[i][0]-xy[i][1] for i in range(n)]\\nans.append(max(l)-min(l))\\nprint(max(ans))\", \"n=int(input())\\nzp=[]\\nzl=[]\\nfor i in range(n):\\n    a,b=map(int,input().split())\\n    zp.append(a+b)\\n    zl.append(a-b)\\nans=max((max(zp)-min(zp)),(max(zl)-min(zl)))\\nprint(ans)\", \"def solve(n, x, y):\\n    z = [u + v for u, v in zip(x, y)]\\n    w = [u - v for u, v in zip(x, y)]\\n    return max([max(z) - min(z), max(w) - min(w)])\\n\\nn = int(input())\\nx, y = zip(*[map(int, input().split()) for i in range(n)])\\nprint(solve(n, x, y))\", \"N=int(input())\\nA=[]\\nB=[]\\nfor _ in range(N):\\n    x,y=map(int, input().split())\\n    A.append(x+y)\\n    B.append(x-y)\\n\\nA=sorted(A)\\nB=sorted(B)\\n\\nprint(max(A[-1]-A[0],B[-1]-A[0],A[-1]-A[0],B[-1]-B[0]))\", \"n = int(input())\\nu = []\\nv = []\\nfor i in range(n):\\n    x, y = map(int, input().split())\\n    u.append(x + y)\\n    v.append(x - y)\\n    \\nu.sort()\\nv.sort()\\nprint(max(u[-1] - u[0], v[-1] - v[0]))\", \"import sys\\n\\ndef solve():\\n    input = sys.stdin.readline\\n    N = int(input())\\n    dx = []\\n    dy = []\\n    for _ in range(N):\\n        x, y = map(int, input().split())\\n        dx.append(x + y)\\n        dy.append(x - y)\\n    dx.sort()\\n    dy.sort()\\n    print(max(dx[N-1] - dx[0], dy[N-1] - dy[0]))\\n\\n    return\\n\\ndef __starting_point():\\n    solve()\\n__starting_point()\", \"n=int(input())\\na,b,c,d=-10**9,10**9,-10**9,10**9\\nfor _ in range(n):\\n\\tx,y=map(int,input().split())\\n\\ta=max(a,x+y)\\n\\tb=min(b,x+y)\\n\\tc=max(c,x-y)\\n\\td=min(d,x-y)\\nprint(max(a-b,c-d))\", \"n=int(input())\\nxy=[list(map(int, input().split())) for i in range(n)]\\nz=list(map(lambda x: x[0]+x[1], xy))\\nw=list(map(lambda x: x[0]-x[1], xy))\\nprint(max(max(z)-min(z), max(w)-min(w)))\", \"N = int(input())\\nx, y = map(int, input().split())\\nd = [x - y, x - y, x + y, x + y]\\nfor i in range(1,N):\\n  x, y = map(int, input().split())\\n  d[0] = max(d[0], x-y)\\n  d[1] = min(d[1], x-y)\\n  d[2] = max(d[2], x+y)\\n  d[3] = min(d[3], x+y)\\nprint(max(d[0]-d[1], d[2]-d[3]))\", \"# coding: utf-8\\n# Your code here!\\nN=int(input())\\n\\nZ=[]\\nW=[]\\n\\nfor _ in range(N):\\n    x,y=map(int,input().split())\\n    Z.append(x+y)\\n    W.append(x-y)\\n    \\nprint(max(max(Z)-min(Z),max(W)-min(W)))\", \"n = int(input())\\nxy_array = [list(map(int, input().split())) for _ in range(n)]\\n\\nth = pow(10, 9)\\nright_up_max = -th\\nleft_down_min = th\\nleft_up_max = -th\\nright_down_min = th\\n\\nfor x, y in xy_array:\\n    right_up_max = max(x + y, right_up_max)\\n    left_down_min = min(x + y, left_down_min)\\n    left_up_max = max(x - y, left_up_max)\\n    right_down_min = min(x - y, right_down_min)\\n\\nans = max(right_up_max - left_down_min, left_up_max - right_down_min)\\nprint(ans)\", \"# import itertools\\n# import math\\n# from functools import reduce\\n# import sys\\n# sys.setrecursionlimit(500*500)\\n# import numpy as np\\n# from collections import deque\\n# import heapq\\n\\n# \\u5165\\u529b\\nN = int(input())\\n# S = input()\\n# n, *a = map(int, open(0))\\n# H, N = map(int, input().split())\\n# A = list(map(int, input().split()))\\n# A = list(map(lambda x: int(x)*(-1), input().split()))\\n# B = list(map(int, input().split()))\\nx_y = [list(map(int,input().split())) for _ in range(N)]\\n# S = input()\\n\\n# B_C = sorted(B_C, reverse=True, key=lambda x:x[1])\\n# all_cases = list(itertools.permutations(P))\\n# a = list(itertools.combinations_with_replacement(range(1, M + 1), N))\\n# itertools.product((0,1), repeat=n)\\n\\n# A = np.array(A)\\n# cum_A = np.cumsum(A)\\n# cum_A = np.insert(cum_A, 0, 0)\\n\\n# edges = [list(map(int,input().split())) for _ in range(N - 1)]\\n# tree = [[] for _ in range(N + 1)]\\n\\n# for edge in edges:\\n#     tree[edge[0]].append(edge[1])\\n#     tree[edge[1]].append(edge[0])\\n\\n# depth = [-1] * (N + 1)\\n# depth[1] = 0\\n# count = [0] * (N + 1)\\n\\n# for i in range(Q):\\n#     p, x = map(int, input().split())\\n#     count[p] += x\\n\\n# def dfs(tree, s):\\n#     for l in tree[s]:\\n#         if depth[l[0]] == -1:\\n#             depth[l[0]] = depth[s] + 1\\n#             dfs(tree, l[0])\\n# dfs(tree, 1)\\n\\n# \\u7d20\\u56e0\\u6570\\u5206\\u89e3\\n# def factorization(n):\\n#     arr = []\\n#     temp = n\\n#     for i in range(2, int(-(-n**0.5//1))+1):\\n#         if temp%i==0:\\n#             cnt=0\\n#             while temp%i==0:\\n#                 cnt+=1\\n#                 temp //= i\\n#             arr.append([i, cnt])\\n#     if temp!=1:\\n#         arr.append([temp, 1])\\n#     if arr==[]:\\n#         arr.append([n, 1])\\n#     return arr\\n\\n# \\u7d04\\u6570\\u5217\\u6319\\n# def make_divisors(n):\\n#     lower_divisors , upper_divisors = [], []\\n#     i = 1\\n#     while i*i <= n:\\n#         if n % i == 0:\\n#             lower_divisors.append(i)\\n#             if i != n // i:\\n#                 upper_divisors.append(n//i)\\n#         i += 1\\n#     return lower_divisors + upper_divisors[::-1]\\n\\n# bfs\\n# tree = [[] for _ in range(N + 1)]\\n# edges = [list(map(int,input().split())) for _ in range(M)]\\n\\n# for edge in edges:\\n#     tree[edge[0]].append(edge[1])\\n#     tree[edge[1]].append(edge[0])\\n\\n# depth = [-1] * (N + 1)\\n# depth[1] = 0\\n\\n# d = deque()\\n# d.append(1)\\n\\n# ans = [0] * (N + 1)\\n# while d:\\n#  v = d.popleft()\\n#  for i in tree[v]:\\n#    if depth[i] != -1:\\n#      continue\\n#    depth[i] = depth[v] + 1\\n#    ans[i] = v\\n#    d.append(i)\\n\\n# # ans = depth[2:]\\n# print('Yes')\\n# print(*ans[2:], sep=\\\"\\\\n\\\")\\n\\n# def gcd_list(numbers):\\n#     return reduce(math.gcd, numbers)\\n\\n# # \\u9ad8\\u901f\\u7d20\\u56e0\\u6570\\u5206\\u89e3\\u6e96\\u5099\\n# MAXN = 10**6+10\\n# sieve = [i for i in range(MAXN+1)]\\n# p = 2\\n# while p*p <= MAXN:\\n#     if sieve[p] == p:\\n#         for q in range(2*p, MAXN+1, p):\\n#             if sieve[q] == q:\\n#                 sieve[q] = p\\n#     p += 1\\n\\n\\n# 45\\u5ea6\\u56de\\u8ee2\\nZ = []\\nW = []\\nfor l in x_y:\\n    Z.append(l[0] + l[1])\\n    W.append(l[0] - l[1])\\n\\nprint(max((max(Z) - min(Z)), (max(W) - min(W))))\", \"a,b=[],[]\\nn=int(input())\\nfor _ in range(n):\\n  x,y=map(int,input().split())\\n  a+=[x-y]\\n  b+=[x+y]\\nprint(max(max(a)-min(a),max(b)-min(b)))\", \"n=int(input())\\na,b=[],[]\\nfor i in range(n):\\n  x,y=list(map(int,input().split()))\\n  a.append(x+y)\\n  b.append(x-y)\\nprint((max(max(a)-min(a),max(b)-min(b))))\\n\", \"N = int(input())\\na = []\\nb = []\\nfor i in range(N):\\n  x,y = map(int, input().split())\\n  a.append(x+y)\\n  b.append(x-y)\\n\\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\nprint(ans)\", \"n = int(input())\\na = [0] * n\\nb = [0] * n\\nfor i in range(n):\\n    x, y = list(map(int, input().split()))\\n    a[i] = x + y\\n    b[i] = x - y\\nprint((max(max(a) - min(a), max(b) - min(b))))\\n\", \"N=int(input())\\n\\na,b=[],[]\\n\\nfor i in range(N):\\n  x,y=map(int,input().split())\\n  a.append(x+y)\\n  b.append(x-y)\\na.sort()\\nb.sort()\\n\\nans=max(a[-1]-a[0],b[-1]-b[0])\\nprint(ans)\", \"n=int(input())\\na=[]\\nj=k=0\\ndef s(a):\\n    return a[0]+a[1]\\ndef ss(a):\\n    return a[0]-a[1]\\nfor i in range(n):\\n    f=list(map(int,input().split()))\\n    a.append(f)\\naa=min(map(s,a))\\nb=max(map(s,a))\\nc=min(map(ss,a))\\nd=max(map(ss,a))\\nprint(max(abs(d-c),abs(b-aa)))\", \"n = int(input())\\na, b = [], []\\nfor _ in range(n):\\n    x, y = map(int, input().split())\\n    a.append(x+y)\\n    b.append(x-y)\\n \\na.sort()\\nb.sort()\\n \\nans = max(a[-1]-a[0], b[-1]-b[0])\\nprint(ans)\", \"n=int(input())\\nl=[]\\nar=[]\\nbr=[]\\nfor i in range(n):\\n  l.append(list(map(int,input().split())))\\n  ar.append(l[-1][0]+l[-1][1])\\n  br.append(l[-1][0]-l[-1][1])\\nar.sort()\\nbr.sort()\\nan=max(abs(ar[-1]-ar[0]),abs(br[-1]-br[0]))\\nprint(an)\", \"N = int(input())\\nXY = [list(map(int, input().split())) for _ in range(N)]\\n\\nz = []\\nw = []\\nfor x, y in XY:\\n    z.append(x + y)\\n    w.append(x - y)\\n\\nprint(max(max(z) - min(z), max(w) - min(w)))\", \"n=int(input())\\nmaxa=maxb=-2e9\\nmina=minb=2e9\\nfor i in range(n):\\n  x,y=list(map(int,input().split()))\\n  maxa=max(maxa,x+y)\\n  mina=min(mina,x+y)\\n  maxb=max(maxb,x-y)\\n  minb=min(minb,x-y)\\nprint((max(maxa-mina,maxb-minb)))\\n\", \"N = int(input())\\nL = [[int(l) for l in input().split()] for _ in range(N)]\\n\\nL1 = [0]*N\\nL2 = [0]*N\\nfor i in range(N):\\n    L1[i] = L[i][0]+L[i][1]\\n    L2[i] = L[i][0]-L[i][1]\\n\\nL1.sort()\\nL2.sort()\\nprint(max(L1[-1]-L1[0], L2[-1]-L2[0]))\", \"N = int(input())\\nxy = [list(map(int, input().split())) for _ in range(N)]\\n\\nadd = sorted([x+y for x, y in xy])\\nsub = sorted([x-y for x, y in xy])\\n\\nprint(max(add[-1]-add[0], sub[-1]-sub[0]))\", \"n=int(input())\\nlx=[]\\nly=[]\\nfor i in range(n):\\n  x,y=map(int,input().split())\\n  lx.append(x+y)\\n  ly.append(x-y)\\nprint(max(max(lx)-min(lx),max(ly)-min(ly)))\", \"N = int(input())\\nl0 = [[int(i) for i in input().split()] for _ in range(N)]\\nl1 = [0] * N\\nl2 = [0] * N\\nfor cnt, val in enumerate(l0):\\n    l1[cnt] = val[0] + val[1]\\n    l2[cnt] = val[0] - val[1]\\nl1.sort()\\nl2.sort()\\nprint((max(l1[-1] - l1[0], l2[-1] - l2[0])))\\n\", \"def main():\\n    n = int(input())\\n    xym, xyM, x_ym, x_yM = 10**9, -10**9, 10**9, -10**9\\n    for _ in range(n):\\n        x, y = map(int, input().split())\\n        xy, x_y = x+y, x-y\\n        xym, xyM, x_ym, x_yM = min(xym, xy), max(xyM, xy), min(x_ym, x_y), max(x_yM, x_y)\\n    print(max(xyM-xym, x_yM-x_ym))\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N=int(input())\\nA=[0]*(N)\\nB=[0]*(N)\\nfor i in range(N):\\n    x,y=map(int, input().split())\\n    A[i]=x+y\\n    B[i]=x-y\\n\\nA=sorted(A)\\nB=sorted(B)\\n\\nprint(max(A[-1]-A[0],B[-1]-A[0],A[-1]-A[0],B[-1]-B[0]))\", \"n = int(input())\\nu = []\\nv = []\\nfor i in range(n):\\n    x, y = map(int, input().split())\\n    u.append(x + y)\\n    v.append(x - y)\\n    \\nu.sort()\\nv.sort()\\nprint(max(u[-1] - u[0], v[-1] - v[0]))\", \"N = int(input())\\nA = []; B = []\\nfor i in range(N):\\n  x,y = map(int,input().split())\\n  a = x+y; A.append(a)\\n  b = x-y; B.append(b)\\nA.sort();B.sort()\\nMax_A = A[-1] - A[0]\\nMax_B = B[-1] - B[0]\\nans = max(Max_A,Max_B)\\nprint(ans)\", \"import sys\\n\\nleft_right_max = 0\\nleft_right_min = float('inf')\\nright_left_max = float('-inf')\\nright_left_min = float('inf')\\nr3_max = float('-inf')\\nr3_min = float('inf')\\n\\nn = int(sys.stdin.readline().strip())\\n\\nfor idx in range(n):\\n    x, y = sys.stdin.readline().strip().split(' ')\\n    x = int(x)\\n    y = int(y)\\n\\n    left_right_tmp = x + y\\n    if left_right_tmp > left_right_max:\\n        left_right_max = left_right_tmp\\n      \\n    if left_right_tmp < left_right_min:\\n        left_right_min = left_right_tmp\\n        #res_lr[2] = (x, y)\\n\\n    right_left_tmp = x - y\\n    if right_left_tmp > right_left_max:\\n        right_left_max = right_left_tmp\\n        #res_rl[1] = (x, y)\\n    if right_left_tmp < right_left_min:\\n        right_left_min = right_left_tmp\\n        #res_rl[2] = (x, y)\\n        \\n    r3_tmp = y - x\\n    if r3_tmp > r3_max:\\n        r3_max = r3_tmp\\n        #res_3[1] = (x, y)\\n    if r3_tmp < r3_min:\\n        r3_min = r3_tmp\\n        #res_3[2] = (x, y)\\n\\nreslr_dist = left_right_max - left_right_min\\nresrl_dist = right_left_max - right_left_min\\nres3_dist = r3_max - r3_min\\n\\nprint((max(resrl_dist, reslr_dist, res3_dist)))\\n\", \"N = int(input())\\nlst = []\\nfor i in range(N):\\n    lst.append(tuple(map(lambda i: int(i), input().split())))\\nlstP = [xy[0]+xy[1] for xy in lst]\\nlstM = [xy[0]-xy[1] for xy in lst]\\nlstP, lstM\\nz = max(lstP) - min(lstP)\\nw = max(lstM) - min(lstM)\\nprint(max(z,w))\", \"import sys\\nfrom operator import itemgetter\\n\\nN = int(input())\\nV = set()\\nfor s in sys.stdin.readlines():\\n    x, y = list(map(int, s.split()))\\n    V.add((x + y, x - y))\\n\\ny_max = max(V, key=itemgetter(1))[1]\\ny_min = min(V, key=itemgetter(1))[1]\\nx_max = max(V, key=itemgetter(0))[0]\\nx_min = min(V, key=itemgetter(0))[0]\\n\\nprint((max(x_max - x_min, y_max - y_min)))\\n\", \"N = int(input())\\na = list()\\nb = list()\\nfor i in range(N):\\n  x,y = map(int, input().split())\\n  a.append(x+y)\\n  b.append(x-y)\\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\nprint(ans)\", \"def get_ints():\\n    return list(map(int,input().split()))\\n\\nn = int(input())\\na, b = [], []\\nfor i in range(n):\\n    x, y = get_ints()\\n    a.append(x-y)\\n    b.append(x+y)\\n\\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\nprint(ans)\", \"\\\"\\\"\\\"AtCoder Beginner Contest 178.\\n\\nE\\n\\\"\\\"\\\"\\n\\nimport sys\\n\\n\\ndef input() -> str:  # noqa: A001\\n    \\\"\\\"\\\"Input.\\\"\\\"\\\"\\n    return sys.stdin.readline()[:-1]\\n\\n\\ndef calc(p1: list, p2: list) -> int:\\n    \\\"\\\"\\\"Calc Manhattan Distance.\\\"\\\"\\\"\\n    return abs(p2[1] - p1[1]) + abs(p2[0] - p1[0])\\n\\n\\ndef main():\\n    \\\"\\\"\\\"Run.\\\"\\\"\\\"\\n    n = int(input())\\n\\n    patterns = {\\n        'lt': (1, 1),\\n        'rt': (-1, 1),\\n        'lb': (-1, -1),\\n        'rb': (1, -1),\\n    }\\n\\n    points: dict = {k: None for k in list(patterns.keys())}\\n\\n    for _ in range(n):\\n        p = list(map(int, input().split(' ')))\\n\\n        for k, (x, y) in list(patterns.items()):\\n            max_p = points[k]\\n\\n            if max_p:\\n                max_p_pos = (max_p[0] * x) + (max_p[1] * y)\\n                p_pos = (p[0] * x) + (p[1] * y)\\n                if max_p_pos < p_pos:\\n                    points[k] = p\\n            else:\\n                points[k] = p\\n\\n    ans = 0\\n    for i, p1 in enumerate(points.values()):\\n        for p2 in list(points.values())[i + 1:]:\\n            ans = max(ans, calc(p1, p2))\\n\\n    print(ans)\\n\\n\\nmain()\\n\", \"import sys\\nreadline = sys.stdin.readline\\n\\nN = int(readline())\\nX,Y = [None] * N, [None] * N\\nfor i in range(N):\\n  x,y = list(map(int,readline().split()))\\n  X[i],Y[i] = x + y,x - y\\n\\nprint((max(abs(max(X) - min(X)),abs(max(Y) - min(Y)))))\\n\", \"n = int(input())\\na, b = [], []\\nfor _ in range(n):\\n    x, y = map(int, input().split())\\n    a.append(x+y)\\n    b.append(x-y)\\n\\na.sort()\\nb.sort()\\n\\nans = max(a[-1]-a[0], b[-1]-b[0])\\nprint(ans)\", \"#!/usr/bin/env python3\\n\\n\\ndef get_points_and_convert(pts):\\n    x, y = pts\\n    return x + y, x - y\\n\\n\\ndef main():\\n    n = int(input())\\n    points = [\\n        get_points_and_convert(list(map(int, input().split())))\\n        for _ in range(n)\\n    ]\\n    plus_coords, minus_coords = list(zip(*points))\\n    plus_dist = max(plus_coords) - min(plus_coords)\\n    minus_dist = max(minus_coords) - min(minus_coords)\\n    print((max(plus_dist, minus_dist)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nXY = [[int(_) for _ in input().split()] for _ in range(N)]\\nans = -1\\nfor dx, dy in ((1, 1), (-1, 1), (-1, -1), (1, -1)):\\n    xy2 = [x * dx + y * dy for x, y in XY]\\n    ans = max(ans, max(xy2) - min(xy2))\\nprint(ans)\\n\", \"N = int(input())\\nA = [0]*N\\nB = [0]*N\\nfor i in range(N):\\n  x,y = map(int,input().split())\\n  A[i] = x+y\\n  B[i] = x-y\\na = max(A)-min(A)\\nb = max(B)-min(B)\\nprint(max(a,b))\", \"n = int(input())\\nl = [[] for i in range(4)]\\nfor i in range(n):\\n    x, y = list(map(int, input().split()))\\n    l[0].append(x+y)\\n    l[1].append(x-y)\\n    l[2].append(-x+y)\\n    l[3].append(-x-y)\\nfor i in range(4):\\n    l[i].sort()\\nans = 0\\nfor i in range(4):\\n    ans = max(ans, l[i][-1] - l[i][0])\\nprint(ans)\\n\", \"N = int(input())\\na = []\\nb = []\\nfor i in range(N):\\n  x,y = map(int,input().split())\\n  a.append(x-y)\\n  b.append(x+y)\\n  \\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\nprint(ans)\", \"N=int(input())\\nzls=[0 for _ in range(N)]\\nwls=[0 for _ in range(N)]\\nfor i in range(N):\\n  x,y=[int(s) for s in input().split()]\\n  zls[i]=x+y\\n  wls[i]=x-y\\nprint(max([max(zls)-min(zls),max(wls)-min(wls)]))\", \"n=int(input())\\na=[]\\nb=[]\\nfor i in range(n):\\n  x,y=map(int,input().split())\\n  a.append(x+y)\\n  b.append(x-y)\\nprint(max(max(a)-min(a),max(b)-min(b)))\", \"import sys\\nimport re\\nimport queue\\nfrom math import ceil, floor, sqrt, pi, factorial, gcd\\nfrom copy import deepcopy\\nfrom collections import Counter, deque\\nfrom heapq import heapify, heappop, heappush\\nfrom itertools import accumulate, product, combinations, combinations_with_replacement\\nfrom bisect import bisect, bisect_left, bisect_right\\nfrom functools import reduce\\nfrom decimal import Decimal, getcontext\\n# input = sys.stdin.readline\\ndef i_input(): return int(input())\\ndef i_map(): return map(int, input().split())\\ndef i_list(): return list(i_map())\\ndef i_row(N): return [i_input() for _ in range(N)]\\ndef i_row_list(N): return [i_list() for _ in range(N)]\\ndef s_input(): return input()\\ndef s_map(): return input().split()\\ndef s_list(): return list(s_map())\\ndef s_row(N): return [s_input for _ in range(N)]\\ndef s_row_str(N): return [s_list() for _ in range(N)]\\ndef s_row_list(N): return [list(s_input()) for _ in range(N)]\\ndef lcm(a, b): return a * b // gcd(a, b)\\nsys.setrecursionlimit(10 ** 6)\\nINF = float('inf')\\nMOD = 10 ** 9 + 7\\nnum_list = []\\nstr_list = []\\n\\n\\n\\ndef main():\\n\\tN = i_input()\\n\\n\\tx_y_list = []\\n\\n\\tfor i in range(0,N):\\n\\t\\ttmpx,tmpy = i_map()\\n\\t\\tx_y_list.append((tmpx,tmpy))\\n\\n\\tz_list = []\\n\\tw_list = []\\n\\tfor i in range(0,N):\\n\\t\\ttmpz = x_y_list[i][0] + x_y_list[i][1]\\n\\t\\ttmpw = x_y_list[i][0] - x_y_list[i][1]\\n\\t\\tz_list.append(tmpz)\\n\\t\\tw_list.append(tmpw)\\n\\n\\tprint(max(max(map(lambda x : (x),z_list))-min(map(lambda x: (x), z_list)),max(map(lambda x : (x),w_list))-min(map(lambda x: (x),w_list))))\\n\\t\\n\\treturn\\n\\n\\ndef __starting_point():\\n\\tmain()\\n__starting_point()\", \"n=int(input())\\na,b,c,d=2*10**9,0,10**9,-10**9\\n\\nfor i in range(n):\\n  x,y=list(map(int,input().split()))\\n  a=a if a<x+y else x+y\\n  b=b if b>x+y else x+y\\n  c=c if c<y-x else y-x\\n  d=d if d>y-x else y-x\\n\\nprint((b-a if b-a>d-c else d-c))\\n\", \"n=int(input())\\np=[]\\nq=[]\\nfor _ in range(n):\\n  x,y=map(int,input().split())\\n  p.append(x+y)\\n  q.append(x-y)\\nprint(max(max(p)-min(p),max(q)-min(q)))\", \"n=int(input())\\nl=[list(map(int,input().split())) for i in range(n)]\\na=10**9\\nz_max=-1*a\\nz_min=a\\nw_max=-1*a\\nw_min=a\\nfor x,y in l: #\\u70b9\\u306ex\\u5ea7\\u6a19\\u3068y\\u5ea7\\u6a19\\u306e\\u548c\\u306e\\u6700\\u5927\\u5024\\u3068\\u6700\\u5c0f\\u5024\\u306e\\u5dee\\u304b\\u5ea7\\u6a19\\u306e\\u5dee\\u306e\\u6700\\u5927\\u5024\\u3068\\u6700\\u5c0f\\u5024\\u306e\\u5dee\\u304c\\u7b54\\u3048\\n  z_max=max(z_max,x+y)\\n  z_min=min(z_min,x+y)\\n  w_max=max(w_max,x-y)\\n  w_min=min(w_min,x-y)\\nprint(max(z_max-z_min,w_max-w_min))\", \"n = int(input())\\nu = []\\nv = []\\nfor i in range(n):\\n    x, y = map(int, input().split())\\n    u.append(x + y)\\n    v.append(x - y)\\n    \\nu.sort()\\nv.sort()\\nprint(max(u[-1] - u[0], v[-1] - v[0]))\", \"n = int(input())\\nxy_array = [list(map(int, input().split())) for _ in range(n)]\\n\\nth = pow(10, 9)\\nz_max = -th\\nz_min = th\\nw_max = -th\\nw_min = th\\n\\nfor x, y in xy_array:\\n    z_max = max(x + y, z_max)\\n    z_min = min(x + y, z_min)\\n    w_max = max(x - y, w_max)\\n    w_min = min(x - y, w_min)\\n\\nans = max(z_max - z_min, w_max - w_min)\\nprint(ans)\", \"n = int(input())\\n\\nxy = []\\nfor index in range(n):\\n  x, y = map(int, input().split())\\n  xy.append([x, y])\\n\\npos_max = xy[0][0]+xy[0][1]\\npos_min = xy[0][0]+xy[0][1]\\nneg_max = xy[0][0]-xy[0][1]\\nneg_min = xy[0][0]-xy[0][1]\\nfor item in xy:\\n  pos_v = item[0] + item[1]\\n  neg_v = item[0] - item[1]\\n  pos_max = pos_v if pos_v > pos_max else pos_max\\n  pos_min = pos_v if pos_v < pos_min else pos_min\\n  neg_max = neg_v if neg_v > neg_max else neg_max\\n  neg_min = neg_v if neg_v < neg_min else neg_min\\n\\npos_result = pos_max - pos_min\\nneg_result = neg_max - neg_min\\nprint(pos_result if pos_result >= neg_result else neg_result)\", \"n = int(input())\\nu = []\\nv = []\\nfor _ in range(n):\\n    x, y = list(map(int, input().split()))\\n    u.append(x + y)\\n    v.append(x - y)\\n\\nans = max(max(u) - min(u), max(v) - min(v))\\nprint(ans)\\n\", \"import numpy as np\\ndef solve(n, x, y):\\n    x = np.asarray(x)\\n    y = np.asarray(y)\\n    z = x + y\\n    w = x - y\\n    return max(np.max(z) - np.min(z), np.max(w) - np.min(w))\\n\\nn = int(input())\\nx, y = list(zip(*[list(map(int, input().split())) for i in range(n)]))\\nprint((solve(n, x, y)))\\n\", \"import sys\\ndef Ii():return int(sys.stdin.readline())\\ndef Mi():return map(int,sys.stdin.readline().split())\\ndef Li():return list(map(int,sys.stdin.readline().split()))\\n\\nn = Ii()\\nans = 0\\npoints = []\\nxymax = 0\\nxymin = 10**11\\ndxymax = -10**11\\ndxymin = 10**11\\nfor i in range(n):\\n  point = Li()\\n  xy = point[0]+point[1]\\n  if xy > xymax:\\n    xymax = xy\\n  if xy < xymin:\\n    xymin = xy\\n  dxy = point[0]-point[1]\\n  if dxy > dxymax:\\n    dxymax = dxy\\n  if dxy < dxymin:\\n    dxymin = dxy\\nans = max(dxymax-dxymin,xymax-xymin)\\nprint(ans)\", \"n = int(input())\\n# n = 2*10**5\\n\\nmin_u = float('inf')\\nmax_u = -float('inf')\\nmin_v = float('inf')\\nmax_v = -float('inf')\\n\\n\\nfor i in range(n):\\n    x, y = list(map(int, input().split()))\\n    # x, y = (10**9 , 10**9)\\n    u, v = (x+y, x-y)\\n    if u <= min_u:\\n        min_u = u\\n    if u >= max_u:\\n        max_u = u\\n    if v <= min_v:\\n        min_v = v\\n    if v >= max_v:\\n        max_v = v\\n\\nprint((max(max_u - min_u, max_v - min_v)))\\n\", \"import numpy as np\\n\\nN = int(input())\\nxy = [list(map(int, input().split())) for _ in range(N)]\\n\\nxy45 = [[xy[i][0] - xy[i][1], xy[i][0] + xy[i][1]] for i in range(N)]\\nxy45 = np.array(xy45)\\n\\nprint((max(max(xy45[:, 0]) - min(xy45[:, 0]), max(xy45[:, 1]) - min(xy45[:, 1]))))\\n\", \"import sys\\n\\n\\ndef input():\\n    return sys.stdin.readline()[:-1]\\n\\n\\nN = int(input())\\n\\nplus = []\\nminus = []\\nfor _ in range(N):\\n    x, y = list(map(int, input().split()))\\n    plus.append(x+y)\\n    minus.append(x-y)\\n\\nprint((max(max(plus)-min(plus), max(minus)-min(minus))))\\n\", \"n = int(input())\\n\\nplus,minus = [],[]\\nfor i in range(n):\\n    a,b = map(int,input().split())\\n    plus.append(a+b)\\n    minus.append(a-b)\\n\\nplus.sort()\\nminus.sort()\\n\\nprint(max(plus[-1]-plus[0],minus[-1]-minus[0]))\", \"def get_ints():\\n  return list(map(int,input().split()))\\n\\nn = int(input())\\na,b = [],[]\\nfor i in range(n):\\n  x,y = get_ints()\\n  a.append(x+y)\\n  b.append(x-y)\\n\\na.sort()\\nb.sort()\\nans = max(a[-1]-a[0], b[-1]-b[0])\\nprint(ans)\\n\\n\\n\\n\", \"n = int(input())\\npoints = [tuple(map(int, input().split())) for _ in range(n)]\\nplus = [p[0] + p[1] for p in points]\\nminus = [p[0] - p[1] for p in points]\\nprint(max(max(plus) - min(plus), max(minus) - min(minus)))\", \"n = int(input())\\na, b = [], []\\n\\nfor _ in range(n):\\n    x, y = list(map(int, input().split()))\\n    a.append(x - y)\\n    b.append(x + y)\\n\\nans = max(max(a) - min(a), max(b) - min(b))\\nprint(ans)\\n\", \"N = int(input())\\nx = [0 for _ in range(N)]\\ny = [0 for _ in range(N)]\\n\\nfor i in range(N):\\n    x[i], y[i] = map(int,input().split())\\n\\nX = [0 for _ in range(N)]\\nY = [0 for _ in range(N)]\\n\\nfor i in range(N):\\n    X[i], Y[i] = x[i] - y[i], x[i] + y[i]\\n\\nans = 0\\nans = max(max(X)-min(X),max(Y)-min(Y))\\n\\nprint(ans)\", \"def main():\\n    n = int(input())\\n    X, Y = [], []\\n    for _ in range(n):\\n        x, y = list(map(int, input().split()))\\n        X.append(x + y)\\n        Y.append(x - y)\\n    X.sort()\\n    Y.sort()\\n    print((max(X[-1] - X[0], Y[-1] - Y[0])))\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"import numpy as np\\nN = int(input())\\n\\nx = []\\ny = []\\nxy1 = []\\nxy2 = []\\n\\nfor i in range(N):\\n    a, b = (int(t) for t in input().split())\\n    x.append(a)\\n    y.append(b)\\n    xy1.append(a + b)\\n    xy2.append(a - b)\\n\\nmax1 = max(xy1) - min(xy1)\\nmax2 = max(xy2) - min(xy2)\\nprint((max((max1, max2))))\\n\", \"def manhattan(n, x, y):\\n    x2 = [0] * n\\n    y2 = [0] * n\\n    for i in range(n):\\n        x2[i] = x[i] - y[i]\\n        y2[i] = x[i] + y[i]\\n    print((max(max(x2) - min(x2), max(y2) - min(y2))))\\n\\nn = int(input())\\nx = [0] * n\\ny = [0] * n\\nfor i in range(n):\\n    x[i] , y[i] = list(map(int, input().split()))\\nmanhattan(n, x, y)\\n\", \"# -*- coding: utf-8 -*-\\n\\nN = int(input())\\n\\nXY = []\\nfor n in range(N):\\n    (x, y) = (int(i) for i in input().split())\\n    XY.append([x, y])\\n\\nplus = []\\nminus = []\\nfor [x, y] in XY:\\n    plus.append(x + y)\\n    minus.append(x - y)\\n\\nprint((max(max(plus)- min(plus), max(minus) - min(minus))))\\n\", \"_,*Z=open(0);A,B=[],[]\\nfor z in Z:x,y=map(int,z.split());A+=[x+y];B+=[x-y]\\nprint(max(max(A)-min(A),max(B)-min(B)))\", \"N=int(input())\\na = []\\nb = []\\nfor i in range(N):\\n  x,y=map(int,input().split())\\n  a.append(x+y)\\n  b.append(x-y)\\nA = max(a)-min(a)\\nB = max(b)-min(b)\\nprint(max(A,B))\", \"n=int(input())\\nzmi=wmi=int(1e+10)\\nzma=wma=int(-1e+10)\\nfor i in range(n):\\n    xi,yi=list(map(int,input().split()))\\n    zma=max(xi+yi,zma)\\n    wma=max(xi-yi,wma)\\n    zmi=min(xi+yi,zmi)\\n    wmi=min(xi-yi,wmi)\\nprint((max(zma-zmi,wma-wmi)))\\n\", \"n = int(input())\\nk = [0] * n\\nl = [0] * n\\nfor i in range(n):\\n  x, y = [int(i) for i in input().split()]\\n  k[i] = x + y\\n  l[i] = x - y\\nprint(max(max(k)-min(k), max(l)-min(l)))\", \"def main():\\n    N = int(input())\\n    x, y = list(map(int, input().split()))\\n    a1 = x + y\\n    a2 = x + y\\n    b1 = y - x\\n    b2 = y - x\\n    N -= 1\\n    while N != 0:\\n        x, y = list(map(int, input().split()))\\n        a1 = max(a1, x + y)\\n        a2 = min(a2, x + y)\\n        b1 = max(b1, y - x)\\n        b2 = min(b2, y - x)\\n        N = N - 1\\n    print((max(a1 - a2, b1 - b2)))\\n\\nmain()\\n\", \"N =  int(input())\\nA =  [list(map(int, (input().split(' ')))) for i in range(N)]\\n\\nhoge = [sum(a) for a in A]\\nfuga = [a[0] - a[1] for a in A]\\nprint((max(max(hoge) - min(hoge), max(fuga) - min(fuga))))\\n\", \"n = int(input())\\n\\np_one = input()\\np_one_list = p_one.split(' ')\\n\\nzmax = int(p_one_list[0]) + int(p_one_list[1])\\nzmin = int(p_one_list[0]) + int(p_one_list[1])\\nwmax = int(p_one_list[0]) - int(p_one_list[1])\\nwmin = int(p_one_list[0]) - int(p_one_list[1])\\n\\n\\nfor i in range(1, n):\\n    line = input()\\n    tmp = line.split(' ')\\n    z = int(tmp[0]) + int(tmp[1])\\n    w = int(tmp[0]) - int(tmp[1])\\n    zmax = max(zmax, z)\\n    wmax = max(wmax, w)\\n    zmin = min(zmin, z)\\n    wmin = min(wmin, w)\\n\\n\\nz_ans = zmax - zmin\\nw_ans = wmax - wmin\\n\\n\\nprint(f'{max(z_ans, w_ans)}')\\n\", \"N=int(input())\\nL=[list(map(int,input().split())) for i in range(N)]\\nzmax=zmin=L[0][0]+L[0][1]\\nwmax=wmin=L[0][0]-L[0][1]\\nfor a,b in L:\\n    z,w=a+b,a-b\\n    zmax=max(zmax,z)\\n    zmin=min(zmin,z)\\n    wmax=max(wmax,w)\\n    wmin=min(wmin,w)\\nprint(max(zmax-zmin,wmax-wmin))\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nimport heapq#.heapify:Priority Queue\\u306b\\u5909\\u63db \\n#.heappop:\\u6700\\u5c0f\\u5024\\u53d6\\u5f97, .heappush:\\u8981\\u7d20\\u633f\\u5165\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\nimport numpy as np  \\nfrom scipy.spatial.distance import euclidean, cityblock  \\n\\nn = k()\\np = 0\\n\\na = []\\nb = []\\nfor i in range(n):\\n    A,B = I()\\n    a.append(A)\\n    b.append(B)\\n\\nz = []\\nw = []\\n\\nfor i in range(n):\\n    z.append(a[i]+b[i])\\n    w.append(a[i]-b[i])\\n\\nprint((max(max(z)-min(z), max(w)-min(w))))\\n\", \"N = int(input())\\na,b = [], []\\nfor i in range(N):\\n  x,y = map(int, input().split())\\n  a.append(x-y)\\n  b.append(x+y)\\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\nprint(ans)\", \"n=int(input())\\na,b,c,d=2*10**9,0,10**9,-10**9\\n\\nfor i in range(n):\\n  x,y=list(map(int,input().split()))\\n  a=min(a,x+y)\\n  b=max(b,x+y)\\n  c=min(c,y-x)\\n  d=max(d,y-x)\\n\\nprint((max(b-a,d-c)))\\n\", \"n = int(input())\\nz = []\\nw = []\\nfor i in range(n):\\n    x,y = map(int,input().split())\\n    z.append(x+y)\\n    w.append(x-y)\\nzmax = max(z)-min(z)\\nwmax = max(w)-min(w)\\nprint(max(zmax,wmax))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\nn = int(input())\\nA = [[int(i) for i in input().split()]for j in range(n)]    # n\\u306f\\u884c\\u6570\\n\\ntmp = 0\\nres = 0\\n\\nul = INF\\nur = INF\\nbl = INF\\nbr = INF\\nul_index = 0\\nur_index = 0\\nbl_index = 1\\nbr_index = 1\\nfor i in range(n):\\n    x, y = A[i]\\n    if x + 10e9 - y <= ul:\\n        ul = x + 10e9 - y\\n        ul_index = i\\n    if 10e9 - x + 10e9 - y <= ur:\\n        ur = 10e9 - x + 10e9 - y\\n        ur_index = i\\n    if x + y <= bl:\\n        bl = x + y\\n        bl_index = i\\n    if 10e9 - x + y <= br:\\n        br = 10e9 - x + y\\n        br_index = i\\nres = max(abs(A[ul_index][0] - A[br_index][0]) + abs(A[ul_index][1] - A[br_index][1]), abs(A[ur_index][0] - A[bl_index][0]) + abs(A[ur_index][1] - A[bl_index][1]))\\n\\nprint(res)\\n\", \"n= int(input())\\na = [list(map(int, input().split())) for i in range(n)]\\nb = []\\nc = []\\nfor i in range(n):\\n  b.append(a[i][0]+a[i][1])\\n  c.append(a[i][0]-a[i][1])\\nmaxbc=[max(b)-min(b), max(c)-min(c)]\\nprint(max(maxbc))\", \"def main():\\n    n = int(input())\\n    pt = []\\n    for _ in range(n):\\n        x,y = map(int,input().split())\\n        pt.append([x,y])\\n    a,b,c = [],[],[]\\n    for p in pt:\\n        a.append(p[0]+p[1])\\n        b.append(p[0]-p[1])\\n        c.append(p[1]-p[0])\\n    ans = 0\\n    if max(a)-min(a)>ans:\\n        ans = max(a)-min(a)\\n    if max(b)-min(b)>ans:\\n        ans = max(b)-min(b)\\n    if max(c)-min(c)>ans:\\n        ans = max(c)-min(c)\\n    print(ans)\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"#!/usr/bin/env python3\\n\\n\\ndef main():\\n    n = int(input())\\n\\n    ls = []\\n    for i in range(n):\\n        p = list(map(int, input().split()))\\n        np = (p[0] + p[1], p[0] - p[1])\\n        ls.append(np)\\n\\n    minx = float(\\\"inf\\\")\\n    miny = float(\\\"inf\\\")\\n    maxx = -float(\\\"inf\\\")\\n    maxy = -float(\\\"inf\\\")\\n\\n    for i in range(len(ls)):\\n        x, y = ls[i]\\n        minx = min(minx, x)\\n        miny = min(miny, y)\\n        maxx = max(maxx, x)\\n        maxy = max(maxy, y)\\n\\n    print((max(maxx - minx, maxy - miny)))\\n\\n\\nmain()\\n\\n\", \"N=int(input())\\nz=[]\\nw=[]\\nfor _ in range(N):\\n    x,y=map(int,input().split())\\n    z.append(x+y)\\n    w.append(x-y)\\nz.sort()\\nw.sort()\\nans=max(abs(z[-1]-z[0]),abs(w[-1]-w[0]))\\nprint(ans)\", \"N = int(input())\\n\\nxyp = []\\nxym = []\\n\\nfor _ in range(N):\\n    x, y = map(int, input().split())\\n    xyp.append(x+y)\\n    xym.append(x-y)\\n    \\nxyp.sort()\\nxym.sort()\\n\\nprint(max(xyp[-1] - xyp[0], xym[-1] - xym[0]))\", \"n = int(input())\\nz,w = [],[]\\nfor _ in range(n):\\n  x,y = map(int,input().split())\\n  z.append(x+y)\\n  w.append(x-y)\\nprint(max(max(z)-min(z),max(w)-min(w)))\", \"import sys\\ninput=sys.stdin.readline\\n\\nn=int(input())\\na,b,c,d=-10**9,10**9,-10**9,10**9\\nfor _ in range(n):\\n\\tx,y=map(int,input().split())\\n\\ta=max(a,x+y)\\n\\tb=min(b,x+y)\\n\\tc=max(c,x-y)\\n\\td=min(d,x-y)\\nprint(max(a-b,c-d))\", \"def solve():\\n    n = int(input())\\n    z = [0 for _ in range(n)]\\n    w = [0 for _ in range(n)]\\n    for i in range(n):\\n        a, b = list(map(int, input().split()))\\n        z[i] = a+b\\n        w[i] = a-b\\n    print((max(max(z)-min(z), max(w)-min(w))))\\n\\n\\ndef __starting_point():\\n    solve()\\n\\n__starting_point()\", \"N = int(input())\\na, b = [], []\\nfor i in range(N):\\n    x, y = list(map(int, input().split()))\\n    a.append(x - y)\\n    b.append(x + y)\\n\\na.sort()\\nb.sort()\\nans = max(a[-1] - a[0], b[-1] - b[0])\\n\\nprint(ans)\\n\", \"def ans():\\n    N = int(input())\\n    Z = []  # x + y\\n    W = []  # x - y\\n    for _ in range(N):\\n        x, y = map(int, input().split())\\n        Z.append(x + y)\\n        W.append(x - y)\\n\\n    z_max, z_min = max(Z), min(Z)\\n    w_max, w_min = max(W), min(W)\\n\\n    max_d = max((z_max - z_min, w_max - w_min))\\n    print(max_d)\\n\\n\\ndef __starting_point():\\n    ans()\\n__starting_point()\", \"N = int(input())\\n\\nxpy = []\\nxmy = []\\n\\n\\nfor _ in range(N):\\n    x, y = map(int, input().split())\\n\\n    xpy.append(x + y)\\n    xmy.append(x - y)\\n\\nprint(max(max(xpy) - min(xpy), max(xmy) - min(xmy)))\", \"import sys\\n\\nleft_right_max = 0\\nleft_right_min = float('inf')\\nright_left_max = float('-inf')\\nright_left_min = float('inf')\\nr3_max = float('-inf')\\nr3_min = float('inf')\\n\\nn = int(sys.stdin.readline().strip())\\n\\nfor idx in range(n):\\n    x, y = sys.stdin.readline().strip().split(' ')\\n    x = int(x)\\n    y = int(y)\\n\\n    left_right_tmp = x + y\\n    if left_right_tmp > left_right_max:\\n        left_right_max = left_right_tmp\\n    if left_right_tmp < left_right_min:\\n        left_right_min = left_right_tmp\\n\\n    right_left_tmp = x - y\\n    if right_left_tmp > right_left_max:\\n        right_left_max = right_left_tmp\\n    if right_left_tmp < right_left_min:\\n        right_left_min = right_left_tmp\\n        \\n    r3_tmp = y - x\\n    if r3_tmp > r3_max:\\n        r3_max = r3_tmp\\n    if r3_tmp < r3_min:\\n        r3_min = r3_tmp\\n\\nprint(max(left_right_max - left_right_min, right_left_max - right_left_min, r3_max - r3_min))\"]",
        "difficulty": "interview",
        "input": "2\n1 1\n1 1\n",
        "output": "0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc178/tasks/abc178_e"
    },
    {
        "id": 257,
        "task_id": 3201,
        "test_case_id": 1,
        "question": "You are given an array of integers of length $N$. Let $s_1, s_2, \\ldots , s_ q$ be the lexicographically sorted array of all its non-empty subsequences. A subsequence of the array is an array obtained by removing zero or more elements from the initial array. Notice that some subsequences can be equal and that it holds $q = 2^N - 1$.\n\nAn array $A$ is lexicographically smaller than array $B$ if $A_ i < B_ i$ where $i$ is the first position at which the arrays differ, or if $A$ is a strict prefix of array $B$.\n\nLet us define the hash of an array that consists of values $v_1, v_2, \\ldots , v_ p$ as:\\[ h(s) = (v_1 \\cdot B^{p-1} + v_2 \\cdot B^{p-2} + \\ldots + v_{p-1} \\cdot B + v_ p ) \\bmod M \\]\n\nwhere $B$, $M$ are given integers.\n\nCalculate $h(s_1) h(s_2), \\ldots , h(s_ K)$ for a given $K$.\n\n-----Input-----\nThe first line contains integers $N$, $K$, $B$, $M$ ($1 \\leq N \\leq 100000$, $1 \\leq K \\leq 100000$, $1 \\leq B, M \\leq 1000000$). The second line contains integers $a_1, a_2, a_3, \\ldots , a_ N$ ($1 \\leq a_ i \\leq 100000$). In all test cases, it will hold $K \\leq 2^N - 1$.\n\n-----Output-----\nOutput $K$ lines, the $j$-th line containing $h(s_ j)$.\n\n-----Examples-----\nSample Input 1:\n2 3 1 5\n1 2\nSample Output 1:\n1\n3\n2\n\nSample Input 2:\n3 4 2 3\n1 3 1\nSample Output 2:\n1\n1\n0\n2",
        "solutions": "",
        "difficulty": "competition",
        "input": "2 3 1 5\n1 2\n",
        "output": "1\n3\n2\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/podnizovi"
    },
    {
        "id": 258,
        "task_id": 3201,
        "test_case_id": 2,
        "question": "You are given an array of integers of length $N$. Let $s_1, s_2, \\ldots , s_ q$ be the lexicographically sorted array of all its non-empty subsequences. A subsequence of the array is an array obtained by removing zero or more elements from the initial array. Notice that some subsequences can be equal and that it holds $q = 2^N - 1$.\n\nAn array $A$ is lexicographically smaller than array $B$ if $A_ i < B_ i$ where $i$ is the first position at which the arrays differ, or if $A$ is a strict prefix of array $B$.\n\nLet us define the hash of an array that consists of values $v_1, v_2, \\ldots , v_ p$ as:\\[ h(s) = (v_1 \\cdot B^{p-1} + v_2 \\cdot B^{p-2} + \\ldots + v_{p-1} \\cdot B + v_ p ) \\bmod M \\]\n\nwhere $B$, $M$ are given integers.\n\nCalculate $h(s_1) h(s_2), \\ldots , h(s_ K)$ for a given $K$.\n\n-----Input-----\nThe first line contains integers $N$, $K$, $B$, $M$ ($1 \\leq N \\leq 100000$, $1 \\leq K \\leq 100000$, $1 \\leq B, M \\leq 1000000$). The second line contains integers $a_1, a_2, a_3, \\ldots , a_ N$ ($1 \\leq a_ i \\leq 100000$). In all test cases, it will hold $K \\leq 2^N - 1$.\n\n-----Output-----\nOutput $K$ lines, the $j$-th line containing $h(s_ j)$.\n\n-----Examples-----\nSample Input 1:\n2 3 1 5\n1 2\nSample Output 1:\n1\n3\n2\n\nSample Input 2:\n3 4 2 3\n1 3 1\nSample Output 2:\n1\n1\n0\n2",
        "solutions": "",
        "difficulty": "competition",
        "input": "3 4 2 3\n1 3 1\n",
        "output": "1\n1\n0\n2\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/podnizovi"
    },
    {
        "id": 259,
        "task_id": 3201,
        "test_case_id": 3,
        "question": "You are given an array of integers of length $N$. Let $s_1, s_2, \\ldots , s_ q$ be the lexicographically sorted array of all its non-empty subsequences. A subsequence of the array is an array obtained by removing zero or more elements from the initial array. Notice that some subsequences can be equal and that it holds $q = 2^N - 1$.\n\nAn array $A$ is lexicographically smaller than array $B$ if $A_ i < B_ i$ where $i$ is the first position at which the arrays differ, or if $A$ is a strict prefix of array $B$.\n\nLet us define the hash of an array that consists of values $v_1, v_2, \\ldots , v_ p$ as:\\[ h(s) = (v_1 \\cdot B^{p-1} + v_2 \\cdot B^{p-2} + \\ldots + v_{p-1} \\cdot B + v_ p ) \\bmod M \\]\n\nwhere $B$, $M$ are given integers.\n\nCalculate $h(s_1) h(s_2), \\ldots , h(s_ K)$ for a given $K$.\n\n-----Input-----\nThe first line contains integers $N$, $K$, $B$, $M$ ($1 \\leq N \\leq 100000$, $1 \\leq K \\leq 100000$, $1 \\leq B, M \\leq 1000000$). The second line contains integers $a_1, a_2, a_3, \\ldots , a_ N$ ($1 \\leq a_ i \\leq 100000$). In all test cases, it will hold $K \\leq 2^N - 1$.\n\n-----Output-----\nOutput $K$ lines, the $j$-th line containing $h(s_ j)$.\n\n-----Examples-----\nSample Input 1:\n2 3 1 5\n1 2\nSample Output 1:\n1\n3\n2\n\nSample Input 2:\n3 4 2 3\n1 3 1\nSample Output 2:\n1\n1\n0\n2",
        "solutions": "",
        "difficulty": "competition",
        "input": "5 6 23 1000\n1 2 4 2 3\n",
        "output": "1\n25\n25\n577\n274\n578\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/podnizovi"
    },
    {
        "id": 260,
        "task_id": 3423,
        "test_case_id": 1,
        "question": "Modern operating system distributions have tools to manage installed software, making it easy to keep the software up-to-date. Putting different pieces of software into ‘packages’ that can be installed separately keeps things simple and avoids duplicate effort and code. But this means that a package may depend on other packages, requiring their installation before that package can be installed. For example, many programs need to use ‘libc,’ which contains standard C-library functions. To keep track of these dependencies, many distributions use some sort of package manager.\n\nWhen a user wants to install a new package (or set of packages), a package manager takes care of the headache of tracking down which packages are required to install the desired package. Of course, those may also depend on other packages.\n\nFor this problem, determine an order (if one exists) that allows a given list of packages to be installed. No package should be installed before all the packages it depends on are installed. You may assume that, at the beginning, no packages have been installed.\n\n-----Input-----\nInput consists of up to $10$ test cases. Each test case start with a number $1 \\le n \\le 1000$, which is the number of packages the user wants to install. This is followed by $n$ lines which describe $n$ packages. Each package description starts with the name of the package and is followed by a space-separated list of the package’s unique dependencies. Each package has at most $20$ dependencies, and each is one of the other $n-1$ packages. Each package name is a string of up to $40$ non-whitespace characters using the English alphabet (a-z, A-Z), digits (0-9), as well as the characters _, -, ., and + (i.e. underscore, minus, period, and plus). Input ends when $n$ is zero.\n\n-----Output-----\nFor each test case, output the order of package installation that allow them all to be installed after their respective dependencies. If there are multiple possible orderings, then give the ordering that is lexicographically first (using ASCII values for string ordering). If there is some group of packages that are not able to be ordered within the list, output ‘cannot be ordered’ instead of ordering the packages. Put a blank line between each pair of test cases.\n\n-----Examples-----\nSample Input:\n14\nlibattr\nvim-X11 vim-common gtk2 libattr\nvim-common\ngtk2 libtiff atk pango glib2\nlibtiff zlib libjpeg\natk\npango xorg-x11-libs freetype glib2\nglib2\nzlib\nlibjpeg\nxorg-x11-libs grep freetype\ngrep pcre\npcre\nfreetype\n3\nemacs xorg-x11 lisp\nxorg-x11\nlisp emacs\n0\nSample Output:\natk\nfreetype\nglib2\nlibattr\nlibjpeg\npcre\ngrep\nvim-common\nxorg-x11-libs\npango\nzlib\nlibtiff\ngtk2\nvim-X11\n\ncannot be ordered",
        "solutions": "",
        "difficulty": "competition",
        "input": "14\nlibattr\nvim-X11 vim-common gtk2 libattr\nvim-common\ngtk2 libtiff atk pango glib2\nlibtiff zlib libjpeg\natk\npango xorg-x11-libs freetype glib2\nglib2\nzlib\nlibjpeg\nxorg-x11-libs grep freetype\ngrep pcre\npcre\nfreetype\n3\nemacs xorg-x11 lisp\nxorg-x11\nlisp emacs\n0\n",
        "output": "atk\nfreetype\nglib2\nlibattr\nlibjpeg\npcre\ngrep\nvim-common\nxorg-x11-libs\npango\nzlib\nlibtiff\ngtk2\nvim-X11\n\ncannot be ordered\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/managingpackaging"
    },
    {
        "id": 261,
        "task_id": 3423,
        "test_case_id": 2,
        "question": "Modern operating system distributions have tools to manage installed software, making it easy to keep the software up-to-date. Putting different pieces of software into ‘packages’ that can be installed separately keeps things simple and avoids duplicate effort and code. But this means that a package may depend on other packages, requiring their installation before that package can be installed. For example, many programs need to use ‘libc,’ which contains standard C-library functions. To keep track of these dependencies, many distributions use some sort of package manager.\n\nWhen a user wants to install a new package (or set of packages), a package manager takes care of the headache of tracking down which packages are required to install the desired package. Of course, those may also depend on other packages.\n\nFor this problem, determine an order (if one exists) that allows a given list of packages to be installed. No package should be installed before all the packages it depends on are installed. You may assume that, at the beginning, no packages have been installed.\n\n-----Input-----\nInput consists of up to $10$ test cases. Each test case start with a number $1 \\le n \\le 1000$, which is the number of packages the user wants to install. This is followed by $n$ lines which describe $n$ packages. Each package description starts with the name of the package and is followed by a space-separated list of the package’s unique dependencies. Each package has at most $20$ dependencies, and each is one of the other $n-1$ packages. Each package name is a string of up to $40$ non-whitespace characters using the English alphabet (a-z, A-Z), digits (0-9), as well as the characters _, -, ., and + (i.e. underscore, minus, period, and plus). Input ends when $n$ is zero.\n\n-----Output-----\nFor each test case, output the order of package installation that allow them all to be installed after their respective dependencies. If there are multiple possible orderings, then give the ordering that is lexicographically first (using ASCII values for string ordering). If there is some group of packages that are not able to be ordered within the list, output ‘cannot be ordered’ instead of ordering the packages. Put a blank line between each pair of test cases.\n\n-----Examples-----\nSample Input:\n14\nlibattr\nvim-X11 vim-common gtk2 libattr\nvim-common\ngtk2 libtiff atk pango glib2\nlibtiff zlib libjpeg\natk\npango xorg-x11-libs freetype glib2\nglib2\nzlib\nlibjpeg\nxorg-x11-libs grep freetype\ngrep pcre\npcre\nfreetype\n3\nemacs xorg-x11 lisp\nxorg-x11\nlisp emacs\n0\nSample Output:\natk\nfreetype\nglib2\nlibattr\nlibjpeg\npcre\ngrep\nvim-common\nxorg-x11-libs\npango\nzlib\nlibtiff\ngtk2\nvim-X11\n\ncannot be ordered",
        "solutions": "",
        "difficulty": "competition",
        "input": "4\natk pango\nglib2 pango\ngrep atk\npango\n0\n",
        "output": "pango\natk\nglib2\ngrep\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/managingpackaging"
    },
    {
        "id": 262,
        "task_id": 3531,
        "test_case_id": 1,
        "question": "Your state has just purchased a large, unspoiled tract of land, and wishes to turn it into a nature park with hiking trails. The land has $n$ places of interest to which guests may wish to hike, and of these, $k$ are very special. The state wishes to connect these places with hiking trails. There are $m$ candidate hiking trails to choose from that directly connect two places of interest with various costs. There are some constraints for choosing the trails. First, there must be exactly one way to hike from any place to any other place. Second, exactly $w$ of the trails must directly connect a special place with a regular place. Of course, the state wishes to minimize the cost of blazing these trails.\n\n-----Input-----\nEach input will consist of a single test case. Note that your program may be run multiple times on different inputs. The first line of input will contain four integers $n$, $m$, $k$ and $w$, where $n$ ($2 \\le n \\le 2 \\cdot 10^5$) is the number of places, $m$ ($1 \\le m \\le 5 \\cdot 10^5$) is the number of potential direct trails between places, $k$ ($1 \\le k < n$) is the number of special places, and $w$ ($1 \\le w \\le n-1$) is the number of special-nonspecial direct trails the state wishes to blaze. The places are numbered $1$ to $n$.\n\nEach of the next $k$ lines holds a single integer $s$ ($1 \\le s \\le n$) indicating the special places. These values will be unique and will be in ascending order.\n\nEach of the next $m$ lines will describe a potential trail that the state could blaze. Each of these lines will consist of three integers, $a$, $b$ and $c$, where the trail would go between places $a$ and $b$ ($1 \\le a,b \\le n, a \\ne b$) and would cost $c$ ($1 \\le c \\le 10^5$). No two places will have more than one potential trail between them, and a trail from $a$ to $b$ is the same as a trail from $b$ to $a$.\n\n-----Output-----\nOutput a single integer, which is the minimum total cost for the state to blaze trails in their new park subject to their constraints, or $-1$ if it isn’t possible.\n\n-----Examples-----\nSample Input:\n3 3 1 2\n2\n1 2 2\n1 3 1\n2 3 3\nSample Output:\n5",
        "solutions": "",
        "difficulty": "competition",
        "input": "3 3 1 2\n2\n1 2 2\n1 3 1\n2 3 3\n",
        "output": "5\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/blazingnewtrails"
    },
    {
        "id": 263,
        "task_id": 3531,
        "test_case_id": 2,
        "question": "Your state has just purchased a large, unspoiled tract of land, and wishes to turn it into a nature park with hiking trails. The land has $n$ places of interest to which guests may wish to hike, and of these, $k$ are very special. The state wishes to connect these places with hiking trails. There are $m$ candidate hiking trails to choose from that directly connect two places of interest with various costs. There are some constraints for choosing the trails. First, there must be exactly one way to hike from any place to any other place. Second, exactly $w$ of the trails must directly connect a special place with a regular place. Of course, the state wishes to minimize the cost of blazing these trails.\n\n-----Input-----\nEach input will consist of a single test case. Note that your program may be run multiple times on different inputs. The first line of input will contain four integers $n$, $m$, $k$ and $w$, where $n$ ($2 \\le n \\le 2 \\cdot 10^5$) is the number of places, $m$ ($1 \\le m \\le 5 \\cdot 10^5$) is the number of potential direct trails between places, $k$ ($1 \\le k < n$) is the number of special places, and $w$ ($1 \\le w \\le n-1$) is the number of special-nonspecial direct trails the state wishes to blaze. The places are numbered $1$ to $n$.\n\nEach of the next $k$ lines holds a single integer $s$ ($1 \\le s \\le n$) indicating the special places. These values will be unique and will be in ascending order.\n\nEach of the next $m$ lines will describe a potential trail that the state could blaze. Each of these lines will consist of three integers, $a$, $b$ and $c$, where the trail would go between places $a$ and $b$ ($1 \\le a,b \\le n, a \\ne b$) and would cost $c$ ($1 \\le c \\le 10^5$). No two places will have more than one potential trail between them, and a trail from $a$ to $b$ is the same as a trail from $b$ to $a$.\n\n-----Output-----\nOutput a single integer, which is the minimum total cost for the state to blaze trails in their new park subject to their constraints, or $-1$ if it isn’t possible.\n\n-----Examples-----\nSample Input:\n3 3 1 2\n2\n1 2 2\n1 3 1\n2 3 3\nSample Output:\n5",
        "solutions": "",
        "difficulty": "competition",
        "input": "3 1 1 1\n2\n1 2 2\n",
        "output": "-1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/blazingnewtrails"
    },
    {
        "id": 264,
        "task_id": 3549,
        "test_case_id": 1,
        "question": "After your boat ran out of fuel in the middle of the ocean, you have been following the currents for 80 days. Today, you finally got your radar equipment working. And it’s receiving signals!\n\nAlas, the signals come from the “radar” station owned by the eccentric lighthouse keeper Hasse. Hasse’s radar station (which does not work quite like other radar stations) emits continuous signals of three different wave-lengths. Therefore, the only interesting thing you can measure is the phase of a signal as it reaches you. For example, if the signal you tuned on to has a wave-length of $100$ meters and you are $1456$ meters from the station, your equipment can only tell you that you are either $56$, or $156$, or $256$, or $\\dots $ meters away from the lighthouse.\n\nSo you reach for your last piece of paper to start calculating – but wait, there’s a catch! On the display you read: “ACCURACY: 3 METERS”. So, in fact, the information you get from this signal is that your distance from Hasse’s radar station is in the union of intervals $[53,59] \\cup [153, 159] \\cup [253, 259] \\cup \\dots $.\n\nWhat to do? Since the key to surviving at sea is to be optimistic, you are interested in what the smallest possible distance to the lighthouse could be, given the wavelengths, measurements and accuracies corresponding to the three signals.\n\n-----Task-----\nGiven three positive prime numbers $m_1$, $m_2$, $m_3$ (the wavelengths), three nonnegative integers $x_1$, $x_2$, $x_3$ (the measurements), and three nonnegative integers $y_1$, $y_2$, $y_3$ (the accuracies), find the smallest nonnegative integer $z$ (the smallest possible distance) such that $z$ is within distance $y_ i$ from $x_ i$ modulo $m_ i$ for each $i = 1,2,3$. An integer $x’$ is within distance$y$ from $x$ modulo $m$ if there is some integer $t$ such that $x \\equiv x’ + t \\pmod{m}$ and $|t| \\leq y$.\n\n-----Input-----\nThere are three lines of input. The first line is $m_1$ $m_2$ $m_3$, the second is $x_1$ $x_2$ $x_3$ and the third is $y_1$ $y_2$ $y_3$. You may assume that $0 < m_ i \\leq 10^6$, $0 \\leq x_ i < m_ i$, and $0 \\leq y_ i \\leq 300$ for each $i$. The numbers $m_1$, $m_2$, $m_3$ are all primes and distinct.\n\n-----Output-----\nPrint one line with the answer $z$. Note that the answer might not fit in a 32-bit integer.\n\n-----Examples-----\nSample Input:\n11 13 17\n5 2 4\n0 0 0\nSample Output:\n2095",
        "solutions": "",
        "difficulty": "competition",
        "input": "11 13 17\n5 2 4\n0 0 0\n",
        "output": "2095\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/radar"
    },
    {
        "id": 265,
        "task_id": 3549,
        "test_case_id": 2,
        "question": "After your boat ran out of fuel in the middle of the ocean, you have been following the currents for 80 days. Today, you finally got your radar equipment working. And it’s receiving signals!\n\nAlas, the signals come from the “radar” station owned by the eccentric lighthouse keeper Hasse. Hasse’s radar station (which does not work quite like other radar stations) emits continuous signals of three different wave-lengths. Therefore, the only interesting thing you can measure is the phase of a signal as it reaches you. For example, if the signal you tuned on to has a wave-length of $100$ meters and you are $1456$ meters from the station, your equipment can only tell you that you are either $56$, or $156$, or $256$, or $\\dots $ meters away from the lighthouse.\n\nSo you reach for your last piece of paper to start calculating – but wait, there’s a catch! On the display you read: “ACCURACY: 3 METERS”. So, in fact, the information you get from this signal is that your distance from Hasse’s radar station is in the union of intervals $[53,59] \\cup [153, 159] \\cup [253, 259] \\cup \\dots $.\n\nWhat to do? Since the key to surviving at sea is to be optimistic, you are interested in what the smallest possible distance to the lighthouse could be, given the wavelengths, measurements and accuracies corresponding to the three signals.\n\n-----Task-----\nGiven three positive prime numbers $m_1$, $m_2$, $m_3$ (the wavelengths), three nonnegative integers $x_1$, $x_2$, $x_3$ (the measurements), and three nonnegative integers $y_1$, $y_2$, $y_3$ (the accuracies), find the smallest nonnegative integer $z$ (the smallest possible distance) such that $z$ is within distance $y_ i$ from $x_ i$ modulo $m_ i$ for each $i = 1,2,3$. An integer $x’$ is within distance$y$ from $x$ modulo $m$ if there is some integer $t$ such that $x \\equiv x’ + t \\pmod{m}$ and $|t| \\leq y$.\n\n-----Input-----\nThere are three lines of input. The first line is $m_1$ $m_2$ $m_3$, the second is $x_1$ $x_2$ $x_3$ and the third is $y_1$ $y_2$ $y_3$. You may assume that $0 < m_ i \\leq 10^6$, $0 \\leq x_ i < m_ i$, and $0 \\leq y_ i \\leq 300$ for each $i$. The numbers $m_1$, $m_2$, $m_3$ are all primes and distinct.\n\n-----Output-----\nPrint one line with the answer $z$. Note that the answer might not fit in a 32-bit integer.\n\n-----Examples-----\nSample Input:\n11 13 17\n5 2 4\n0 0 0\nSample Output:\n2095",
        "solutions": "",
        "difficulty": "competition",
        "input": "941 947 977\n142 510 700\n100 100 100\n",
        "output": "60266\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/radar"
    },
    {
        "id": 266,
        "task_id": 3666,
        "test_case_id": 1,
        "question": "The gear ratio designers ate BikeCo need your help! They have designed a new set of gear ratios $n_1/d_1, n_2/d_2, \\cdots , n_{12}/d_{12}$ for a bicycle with front and rear derailleurs having two and six sprockets respectively. Your task is to figure out, if possible, the sprocket sizes needed to achieve the required gear ratios. \n\nThe sprockets of the front derailleur are connected to the pedals and drive the rear sprockets by chain. You recall from Sprocket Science $101$ that a cyclist uses derailleurs to select any combination of front and rear sprocket. The resulting gear ratio is $u/v$ where $u$ is the front sprocket sprocket size and $v$ is the rear sprocket size.\n\nYou are constrained to exactly two sprockets on the front derailleur and six on the rear derailleur, leading to at most $12$ possible gear ratios. Note that the resulting gear ratios are not necessarily unique.\n\n-----Input-----\nTwelve lines with two integers $n_ i, d_ i$ ($1 \\le n_ i, d_ i \\le 100$) separated by forward slash, where $n_ i/d_ i$ is the $i$th gear ratio.\n\n-----Output-----\nIf the specified gear ratios can be achieved, output the required sprocket sizes on two lines with space-separated integers. The first line has the two sprocket sizes for the front derailleur, and the second line gives the six sprocket sizes needed for the rear derailleur. Due to engineering limitations no sprocket size may exceed $10000$. If there are multiple such sets of sprocket sizes that generate the specified gear ratios, output any one of them.\n\nIf no solution exists, print impossible.\n\n-----Examples-----\nSample Input:\n19/13\n10/1\n19/14\n4/3\n20/7\n19/7\n20/13\n19/15\n10/7\n20/17\n19/2\n19/17\nSample Output:\n19 20\n17 15 14 13 7 2",
        "solutions": "",
        "difficulty": "competition",
        "input": "19/13\n10/1\n19/14\n4/3\n20/7\n19/7\n20/13\n19/15\n10/7\n20/17\n19/2\n19/17\n",
        "output": "19 20\n17 15 14 13 7 2\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/sprocketscience"
    },
    {
        "id": 267,
        "task_id": 3666,
        "test_case_id": 2,
        "question": "The gear ratio designers ate BikeCo need your help! They have designed a new set of gear ratios $n_1/d_1, n_2/d_2, \\cdots , n_{12}/d_{12}$ for a bicycle with front and rear derailleurs having two and six sprockets respectively. Your task is to figure out, if possible, the sprocket sizes needed to achieve the required gear ratios. \n\nThe sprockets of the front derailleur are connected to the pedals and drive the rear sprockets by chain. You recall from Sprocket Science $101$ that a cyclist uses derailleurs to select any combination of front and rear sprocket. The resulting gear ratio is $u/v$ where $u$ is the front sprocket sprocket size and $v$ is the rear sprocket size.\n\nYou are constrained to exactly two sprockets on the front derailleur and six on the rear derailleur, leading to at most $12$ possible gear ratios. Note that the resulting gear ratios are not necessarily unique.\n\n-----Input-----\nTwelve lines with two integers $n_ i, d_ i$ ($1 \\le n_ i, d_ i \\le 100$) separated by forward slash, where $n_ i/d_ i$ is the $i$th gear ratio.\n\n-----Output-----\nIf the specified gear ratios can be achieved, output the required sprocket sizes on two lines with space-separated integers. The first line has the two sprocket sizes for the front derailleur, and the second line gives the six sprocket sizes needed for the rear derailleur. Due to engineering limitations no sprocket size may exceed $10000$. If there are multiple such sets of sprocket sizes that generate the specified gear ratios, output any one of them.\n\nIf no solution exists, print impossible.\n\n-----Examples-----\nSample Input:\n19/13\n10/1\n19/14\n4/3\n20/7\n19/7\n20/13\n19/15\n10/7\n20/17\n19/2\n19/17\nSample Output:\n19 20\n17 15 14 13 7 2",
        "solutions": "",
        "difficulty": "competition",
        "input": "1/1\n1/1\n1/1\n1/1\n1/1\n1/1\n1/1\n1/1\n1/1\n1/1\n1/1\n1/2\n",
        "output": "impossible\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/sprocketscience"
    },
    {
        "id": 268,
        "task_id": 4604,
        "test_case_id": 1,
        "question": "There are N people, conveniently numbered 1 through N.\nThey were standing in a row yesterday, but now they are unsure of the order in which they were standing.\nHowever, each person remembered the following fact: the absolute difference of the number of the people who were standing to the left of that person, and the number of the people who were standing to the right of that person.\nAccording to their reports, the difference above for person i is A_i.\nBased on these reports, find the number of the possible orders in which they were standing.\nSince it can be extremely large, print the answer modulo 10^9+7.\nNote that the reports may be incorrect and thus there may be no consistent order.\nIn such a case, print 0.\n\n-----Constraints-----\n - 1≦N≦10^5\n - 0≦A_i≦N-1\n\n-----Input-----\nThe input is given from Standard Input in the following format:\nN\nA_1 A_2 ... A_N\n\n-----Output-----\nPrint the number of the possible orders in which they were standing, modulo 10^9+7.\n\n-----Sample Input-----\n5\n2 4 4 0 2\n\n-----Sample Output-----\n4\n\nThere are four possible orders, as follows:\n - 2,1,4,5,3\n - 2,5,4,1,3\n - 3,1,4,5,2\n - 3,5,4,1,2",
        "solutions": "[\"n = int(input())\\na = [int(x) for x in input().split()]\\na.sort()\\nmod = 10 ** 9 + 7\\n\\ndef p(p):\\n  ans = 1\\n  for i in range(p):\\n    ans *= 2\\n    ans %= mod\\n  return ans\\n\\nif n % 2 == 1:\\n  res = True\\n  for i in range(n):\\n    if a[i] != ((i + 1) // 2) * 2:\\n      res = False\\n  if res:\\n    print(p(n // 2))\\n  else:\\n    print(0)\\n    \\nelse:\\n  res = True\\n  for i in range(n):\\n    if a[i] != (i // 2) * 2 + 1:\\n      res = False\\n  if res:\\n    print(p(n // 2))\\n  else:\\n    print(0)\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\ndef f(x):\\n for i in range(x,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    return 0\\n return 1   \\n    \\na=1\\nif N%2==0:a=f(1)\\nelse:\\n if A[0]!=0:a=0\\n else:a=f(2)\\nprint(2**(N//2)%(10**9+7)*a)\", \"import math\\n\\nN = 5\\nARR = [2, 4, 4, 0, 2]\\n\\nN = 7\\nARR = [6, 4, 0, 2, 4, 0, 2]\\n#\\n# N = 8\\n# ARR = [7, 5, 1, 1, 7, 3, 5, 3]\\n#\\nN = int(input())\\nARR = list(map(int, input().split()))\\n\\n\\ndef calculate(n, arr):\\n    if n % 2 == 0:\\n        n = n // 2\\n        start = 1\\n        finalResult = pow(2, n, 1000000000 + 7)\\n    else:\\n        n = n // 2 + 1\\n        start = 0\\n        finalResult = pow(2, (n - 1), 1000000000 + 7)\\n\\n    result = {}\\n    for i in range(n):\\n        index = start + 2 * i\\n        if index == 0:\\n            result.__setitem__(0, 1)\\n        else:\\n            result.__setitem__(index, 2)\\n\\n    isOk = True\\n    for i in range(len(arr)):\\n        if result.get(arr[i]) == None:\\n            isOk = False\\n            break\\n\\n        if result.get(arr[i]) == 0:\\n            isOk = False\\n            break\\n\\n        result.__setitem__(arr[i], result.get(arr[i])-1)\\n\\n    if isOk == False:\\n        print((0))\\n        return\\n\\n    if sum(result.values()) == 0:\\n        print(finalResult)\\n    else:\\n        print((0))\\n\\n\\ncalculate(N, ARR)\\n\", \"n = int(input())\\na = list(map(int, input().split()))\\na.sort()\\nres = True\\nif n % 2 != 0:\\n  if a[0] != 0:\\n    res = False\\n    print(0)\\n  a = a[1:]\\nfor i in range(0, len(a), 2):\\n  if a[i] != a[i+1]:\\n    print(0)\\n    res = False\\n    break\\n\\np = 10**9 + 7\\nif res:\\n  print(pow(2, n//2, p))\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\nans = 1\\n\\nif n%2 == 0:\\n    for i in range(0, n, 2):\\n        if a[i] != i + 1 or a[i + 1] != i + 1:\\n            print(0)\\n            return\\nelse:\\n    if a[0] != 0:\\n        print(0)\\n        return\\n    for i in range(1, n, 2):\\n        if a[i] != i + 1 or a[i + 1] != i + 1:\\n            print(0)\\n            return\\n\\nfor i in range(n//2):\\n    ans = ans*2%(10**9 + 7)\\n\\nprint(ans)\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\n\\nif n%2 == 0: # \\u4eba\\u6570\\u304c\\u5076\\u6570\\u306e\\u5834\\u5408\\u306b\\u4e0d\\u6574\\u5408\\u304c\\u3042\\u308b\\u304b\\u78ba\\u8a8d\\n  for i in range(0,n,2):\\n    if a[i] != i+1 or a[i+1] != i+1:\\n      print(0)\\n      return\\nelse: # \\u4eba\\u6570\\u304c\\u5947\\u6570\\u306e\\u5834\\u5408\\u306b\\u4e0d\\u6574\\u5408\\u304c\\u3042\\u308b\\u304b\\u78ba\\u8a8d\\n  if a[0] != 0: # \\u5dee\\u5206\\u304c0\\u5b58\\u5728\\u3057\\u3066\\u3044\\u308b\\u3053\\u3068\\u3092\\u78ba\\u8a8d\\n    print(0)\\n    return\\n  else:\\n    for i in range(1,n,2):\\n      if a[i] != i + 1 or a[i+1] != i + 1:\\n        print(0)\\n        return\\n        \\nans = 1        \\nfor i in range(n//2):\\n  ans = ans*2%(10**9+7)\\nprint(ans)\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\nif n % 2 == 0:\\n    b,s = [1,1],3\\nelse:\\n    b,s = [0],2\\nfor i in range(s,n,2):\\n    b += [i,i]\\nif a == b:\\n    print(pow(2,n//2,1000000007))\\nelse:\\n    print(0)\", \"N = int(input())\\nN_List = sorted(list(map(int,input().split())))\\nflg = 0\\nans = 1\\nif N % 2 == 1:\\n    if N_List[0] != 0:\\n        flg = 1\\n    else:\\n        for i in range(2,N,2):\\n            if i*2 != sum(N_List[i-1:i+1]):\\n                flg = 1\\n                break\\n            else:\\n                ans = (ans * 2) % ((10**9) +7)\\n        \\n\\nelse:\\n    for i in range(1,N,2):\\n        if i*2 != sum(N_List[i-1:i+1]):\\n            flg = 1\\n            break\\n        else:\\n            ans = (ans * 2) % ((10**9) +7)\\n\\nif flg == 0:\\n    print(ans)\\nelse:\\n    print((0))\\n\\n                \\n\", \"N = int(input())\\nA = [int(x) for x in input().split()]\\n\\ncnt = {}\\nif N & 1:\\n    bit = 1\\nelse:\\n    bit = 0\\n\\nfor a in A:\\n    if a & bit:\\n        ans = 0\\n        break\\n    if a in cnt:\\n        cnt[a] += 1\\n    else:\\n        cnt[a] = 1\\n\\nfor key in list(cnt.keys()):\\n    if key == 0 and cnt[key] != 1:\\n        ans = 0\\n        break\\n    if key != 0 and cnt[key] != 2:\\n        ans = 0\\n        break\\nelse:\\n    ans = 2**(N//2) %1000000007\\nprint(ans)\\n\", \"n=int(input())\\nfrom collections import Counter as co\\nc=co(map(int,input().split()))\\nans=pow(2,n//2,10**9+7)\\nif n%2 :\\n    if 0 not in c or c[0]>1:ans=0\\n    for i in range(1,n):\\n        if i%2==0 :\\n            if i not in c or c[i]!=2:ans=0;break\\n        else:\\n            if i in c:ans=0;break\\nelse:\\n    if 0 in c:ans=0\\n    for  i in range(1,n):\\n        if i%2:\\n            if i not in c or c[i]!=2:ans=0;break\\n        else:\\n            if i in c:ans=0;break\\nprint(ans)\", \"n = int(input())\\na = list(map(int, input().split()))\\nl = [0] * n\\nfor x in a:\\n    l[x] += 1\\nfor i in range(n):\\n    if l[i] > 2:\\n        print(0)\\n        return\\n    if l[i] > 0 and (i + n) % 2 == 0: \\n        print(0)\\n        return\\nif n % 2 == 1 and l[0] > 1:\\n    print(0)\\n    return\\nprint(pow(2, n // 2, 10 ** 9 + 7))\", \"n = int(input())\\na_list = sorted([int(x) for x in input().split()], reverse=True)\\nm = n\\nif m % 2 == 1:\\n    a_list.append(0)\\n    m += 1\\nfor i in range(0, m, 2):\\n    if not (a_list[i] == a_list[i + 1] == n - (i + 1)):\\n        print(0)\\n        return\\nprint(2 ** (n // 2) % (10 ** 9 + 7))\", \"n = int(input())\\na = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\nnum_map = [0] * ((n + 2 - 1) // 2)\\nfor i in range(n):\\n    num_map[a[i] // 2] += 1\\n\\nres = 2 - n % 2\\nif num_map[0] != 2 - n % 2:\\n    print((0))\\nelse:\\n    for i in range(1, (n + 2 - 1) // 2):\\n        if num_map[i] != 2:\\n            print((0))\\n            break\\n        else:\\n            res = res * 2 % mod\\n    else:\\n        print(res)\\n\", \"mod = 10**9+7\\nn = int(input())\\na = list(map(int,input().split()))\\nc_dic = dict()\\nif n%2 == 0:\\n  for num in a:\\n    if num%2 == 0 or n < num:\\n      print(0)\\n      return\\n    if num in c_dic:\\n      c_dic[num] += 1\\n      if c_dic[num] > 2:\\n        print(0)\\n        return\\n    else:\\n      c_dic[num] = 1\\n  print(pow(2,n//2,mod))\\nelse:\\n  for num in a:\\n    if num%2 == 1 or n < num:\\n      print(0)\\n      return\\n    if num in c_dic:\\n      c_dic[num] += 1\\n      if c_dic[num] > 2:\\n        print(0)\\n        return\\n    else:\\n      c_dic[num] = 1\\n  if c_dic[0] != 1:\\n    print(0)\\n    return\\n  print(pow(2,n//2,mod))\", \"import sys\\nfrom collections import Counter\\n\\nn = int(input())\\na = list(map(int, input().split()))\\na.sort()\\n\\nl = []\\n\\nfor i in range(n):\\n    li = abs(i - (n-1-i))\\n    l.append(li)\\n    \\nl.sort()\\n\\n\\nfor ai, li in zip(l,a):\\n    if ai != li:\\n        print((0))\\n        return\\n\\nd = Counter(l)\\nmod = 10 ** 9 + 7\\nans = 1\\n\\nfor li in d:\\n    for j in range(1,d[li]+1):\\n        ans *= j\\n        ans %= mod\\n\\nprint(ans)\\n\", \"n=int(input())\\na=[int(i) for i in input().split()]\\n\\ndef somosomo(a):\\n    ans=[]\\n    if n%2==1:\\n        ans.append(0)\\n        for i in range(1,n//2+1):\\n            ans.append(i*2)\\n            ans.append(i*2)\\n        b=sorted(a)\\n        if b==ans:\\n            return True\\n        return False\\n    else:\\n        for i in range(1,n//2+1):\\n            ans.append(i*2-1)\\n            ans.append(i*2-1)\\n        b=sorted(a)\\n        if b==ans:\\n            return True\\n        return False\\n\\ndef two_ride(n):\\n    ans=1\\n    for i in range(n):\\n        ans*=2\\n        ans%=10**9+7\\n    return ans\\n\\nif somosomo(a):\\n    print(two_ride(n//2))\\nelse:\\n    print(0)\", \"n=int(input())\\na=list(map(int,input().split()))\\nl=[0]*n\\nfor i in range(n):\\n    l[a[i]]+=1\\n#print(l)\\nif n%2==1:\\n    if l[0]!=1:\\n        print(0)\\n        return\\nans=1\\nfor i in range(n):\\n    if n%2==0:\\n        if i%2==0:\\n            if l[i]!=0:\\n                print(0)\\n                return\\n    else:\\n        if i%2==1:\\n            if l[i]!=0:\\n                print(0)\\n                return\\n    \\n    if l[i]==2:\\n        ans*=2\\n    elif l[i]>2:\\n        print(0)\\n        return\\n    ans%=(10**9 +7)\\nprint(ans)\", \"N = int(input())\\ncount = [0]*(N+1)\\nmodz = 10**9 + 7\\n\\ndef junretsu(a):\\n    if a <= 0: return 1\\n    if (a & 0x01) == 1:\\n        return 2*junretsu(a-1) % modz\\n    else:\\n        rr = junretsu(a>>1)\\n        return rr*rr % modz\\n\\npos = list(map(int, input().split()))\\nfor i in range(N):\\n    count[pos[i]] += 1\\n\\ndiff = [0]*(N+1)\\nfor i in range(1, N+1):\\n    d = abs((N - i) - (i-1))\\n    diff[d] += 1\\n\\ninvalid = False\\ntotal = 1\\nfor i in range(N):\\n    if count[i] != diff[i]:\\n        invalid = True\\n        break\\n\\nif invalid:\\n    print((0))\\nelse:\\n    print((junretsu(int(N/2))))\\n\", \"num = int(input())\\nt = [int(n) for n in input().split()]\\nt = sorted(t)\\n\\nvalid = True\\n\\nif num % 2 == 1: # odd\\n  check = list(range(0,num+1,2))[1:]\\n  \\n  valid1 = t[0] == 0\\n  valid2 = check == t[2::2] # even, skip first\\n  valid3 = check == t[1::2] # odd\\n  valid = valid1 and valid2 and valid3\\n  \\n  if not valid:\\n    print((0))\\n  else:\\n    ans = 2**((num-1)//2) % (10**9 + 7)\\n    print(ans)\\n  \\nelse: # even \\n  check = list(range(1,num,2))\\n  \\n  valid1 = True\\n  valid2 = check == t[::2] # even\\n  valid3 = check == t[1::2] # odd\\n  valid = valid1 and valid2 and valid3\\n  \\n  if not valid:\\n    print((0))\\n  else:\\n    ans = 2**((num)//2) % (10**9 + 7)\\n    print(ans)\\n\\n\\n  \\n\", \"N = int(input())\\nA = list(map(int,input().split()))\\n   \\nA.sort()\\n\\ncheck=[0]*N\\n\\nfor idx in range(N%2,N,2):\\n    check[idx]=idx+1\\n    check[idx+1]=idx+1\\n\\nans=0\\n\\nif check == A:\\n    if N % 2 == 0:\\n        ans=(2**(N//2))%(10**9+7)\\n    elif N % 2 != 0:\\n        ans=(2**((N-1)//2))%(10**9+7)\\n    \\nprint(ans)\\n\", \"n=int(input())\\nmod=10**9+7\\nA=list(map(int,input().split()))\\n\\nfrom collections import Counter\\nC=Counter(A)\\nif n%2==0:\\n    for i in range(1,n,2):\\n        if C.get(i) != 2:\\n            print(0);return\\nelse:\\n    if C.get(0) !=1:\\n        print(0);return\\n    for i in range(2,n,2):\\n        if C.get(i)!=2:\\n            print(0);return\\n\\nn//=2\\nprint(pow(2,n,mod))\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\n\\nif len(a)%2==1:\\n    tmp = [0]\\n    for i in range((len(a)-1)//2):\\n        tmp.append((i+1)*2)\\n        tmp.append((i+1)*2)\\n    if a == tmp:\\n        ans = (2**((len(a)-1)//2))%(10**9+7)\\n    else:\\n        ans = 0\\nelse:\\n    tmp = []\\n    for i in range(len(a)//2):\\n        tmp.append(2*i+1)\\n        tmp.append(2*i+1)\\n    if a == tmp:\\n        ans = (2**(len(a)//2))%(10**9+7)\\n    else:\\n        ans = 0\\nprint(ans)\", \"N = int(input())\\nAs = list(map(int, input().split()))\\n# \\u7d76\\u5bfe\\u5024\\u306e\\u5dee\\u306f\\u3001\\n# \\u5947\\u6570\\u306e\\u5834\\u5408\\u306fN+1\\u304b\\u30892\\u305a\\u3064\\u6e1b\\u3089\\u3057\\u3066\\u884c\\u3063\\u305f\\u5206\\u3057\\u304b\\u306a\\u3044\\u3002(N+1)/2\\n# \\u5076\\u6570\\u306e\\u5834\\u5408\\u306fN\\u304b\\u30892\\u305a\\u3064\\u6e1b\\u3089\\u3057\\u3066\\u884c\\u3063\\u305f\\u5206\\u3057\\u304b\\u306a\\u3044\\u3002N/2\\nnums = {}\\nexists = True\\nif N % 2 == 0:\\n    for A in As:\\n        if A in nums:\\n            nums[A] += 1\\n        else:\\n            nums[A] = 1\\n    for key, value in list(nums.items()):\\n        if key == 0:\\n            exists = False\\n        if value != 2:\\n            exists = False\\n\\nelse:\\n    for A in As:\\n        if A in nums:\\n            nums[A] += 1\\n        else:\\n            nums[A] = 1\\n    for key, value in list(nums.items()):\\n        if key == 0:\\n            if value != 1:\\n                exists = False\\n        else:\\n            if value != 2:\\n                exists = False\\nif not exists:\\n    print((0))\\nelse:\\n    ans = 1\\n    if N % 2 == 0:\\n        for i in range(int(N / 2)):\\n            ans = ans * 2\\n            ans %= 10**9 + 7\\n    else:\\n        for i in range(int((N - 1) / 2)):\\n            ans = ans * 2\\n            ans %= 10**9 + 7\\n            # \\u7d76\\u5bfe\\u5024\\u306e\\u5dee\\u306f0\\u306e\\u6642\\u306f1\\u4eba\\u3060\\u3051\\u3002\\u305d\\u306e\\u307b\\u304b\\u306f2\\u4eba\\u3060\\u3051\\u3002\\u3053\\u308c\\u304c\\u6e80\\u305f\\u305b\\u308b\\u306a\\u3089\\n            # (\\u5076\\u6570)2**(N+1/2)\\n            # (\\u5947\\u6570)2**(N/2)\\n    print(ans)\\n\", \"from collections import Counter\\n\\n\\ndef mod_pow(a, n, mod):\\n    \\\"\\\"\\\"\\n    \\u4e8c\\u5206\\u7d2f\\u4e57\\u6cd5\\u306b\\u3088\\u308b a^n (mod m)\\u306e\\u5b9f\\u88c5\\n    :param a: \\u7d2f\\u4e57\\u306e\\u5e95\\n    :param n: \\u7d2f\\u4e57\\u306e\\u6307\\u6570\\n    :param mod: \\u6cd5\\n    :return: a^n (mod m)\\n    \\\"\\\"\\\"\\n\\n    result = 1\\n    a_n = a\\n    while n > 0:\\n        if n & 1:\\n            result = result * a_n % mod\\n        a_n = a_n * a_n % mod\\n        n >>= 1\\n    return result\\n\\n\\nN = int(input())\\nA = Counter(tuple(map(int, input().split(' '))))\\nMOD = 10 ** 9 + 7\\n\\nif A[0] > 1:\\n    print((0))\\nelif sum([key for key, value in list(A.items()) if value == 1]) != 0:\\n    print((0))\\nelse:\\n    print((mod_pow(2, N // 2, MOD)))\\n\", \"N = int(input())\\nA = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nA = sorted(A)\\nans = 1\\nif N % 2 == 0:#[1,1,3,3,5,5,...]\\n  for i in range(N):\\n    xx = int(i / 2)\\n    if A[i] != 2 * xx + 1:\\n      ans = 0\\n    else:\\n      if i % 2 == 1:\\n        ans *= 2\\n        ans %= mod\\nelse:#[0, 2, 2, 4, 4 ...]\\n  for i in range(N):\\n    xx = int((i + 1)/2)\\n    if A[i] != 2 * xx:\\n      ans = 0\\n    else:\\n      if (i % 2 == 0) and (i != 0):\\n        ans *= 2\\n        ans %= mod\\n      \\n      \\n  \\n  \\nprint(ans)\\n\\n\", \"n = int(input())\\na = list(map(int, input().split()))\\na.sort()\\nres = True\\nanse = list(i for i in range(1, n, 2))\\nanso = list(i for i in range(2, n, 2))\\nif n % 2 != 0:\\n  if a[0] != 0:\\n    res = False\\n    print(0)\\n  a = a[1:]\\n  for i in range(0, len(a), 2):\\n    if a[i] != anso[i//2] or a[i+1] != anso[i//2]:\\n        print(0)\\n        res = False\\n        break\\n\\n\\nif n % 2 == 0:\\n    for i in range(0, len(a), 2):\\n        if a[i] != anse[i//2] or a[i+1] != anse[i//2]:\\n            print(0)\\n            res = False\\n            break\\n\\np = 10**9 + 7\\nif res:\\n  print(pow(2, n//2, p))\", \"n=int(input())\\nl=list(map(int,input().split()))\\nmod=10**9+7\\nif n%2==0:\\n    d={i:2 for i in range(1,n,2)}\\nelse:\\n    d={i:2 for i in range(0,n,2)}\\n    d[0]=1\\nfor a in l:\\n    if a in d:\\n        d[a]-=1\\n    else:\\n        print((0))\\n        return\\nfor i in list(d.values()):\\n    if i!=0:\\n        print((0))\\n        return\\nprint(((2**(n//2))%mod))\\n\", \"from collections import Counter\\n\\nn = int(input())\\nA = list(map(int, input().split()))\\ncnt_A = Counter(A)\\n\\nif not all([v == 2 for k, v in cnt_A.items() if k != 0]):\\n    print(0)\\nelse:\\n    print(pow(2, n // 2, 10**9 + 7))\", \"N = int(input())\\nA = list(map(int, input().split()))\\n\\nans = 0\\nA_test = sorted(list(set(A)))\\n\\nif N % 2 == 1:\\n    judge = [i for i in range(0,N,2)]\\n    if (A_test == judge) and (A.count(0) == 1):\\n        ans = 2**(N//2)\\nelse:\\n    judge = [i for i in range(1,N,2)]\\n    if A_test == judge:\\n        ans = 2**(N//2)\\n\\nans = ans % (10**9 + 7)\\nprint(ans)\\n\", \"import sys\\nfrom collections import Counter\\nN = int(input())\\nA = list(map(int, input().split()))\\nMOD = 10 ** 9 + 7\\n\\nC = Counter(A)\\nC = sorted(C.items(), key=lambda x: x[0])\\nif N % 2 == 0:\\n    s = 1\\n    for k, v in C:\\n        if k != s or v != 2:\\n            print(0)\\n            return\\n        s += 2\\n    print(pow(2, (N // 2), MOD))\\nelse:\\n    s = 0\\n    for k, v in C:\\n        if k == 0:\\n            if k != 0 or v != 1:\\n                print(0)\\n                return\\n            s += 2\\n            continue\\n        if k != s or v != 2:\\n            print(0)\\n            return\\n        s += 2\\n    print(pow(2, (N - 1) // 2, MOD))\", \"from collections import Counter\\nn=int(input())\\na=sorted(list(map(int,input().split())))\\na_count=Counter(a)\\nif n%2==1:\\n    ans=1\\n    for i in a_count:\\n        if i%2!=0:\\n            print(0)\\n            break\\n        else:\\n            if i==0:\\n                if a_count[i]!=1:\\n                    print(0)\\n                    break\\n            \\n            else:\\n                if a_count[i]==2:\\n                     ans=(ans*2)%(10**9+7)\\n                else:\\n                    print(0)\\n                    break\\n    else:\\n      print(ans)\\nelse:\\n    ans=1\\n    for j in a_count:\\n        if j%2!=1:\\n            print(0)\\n            break\\n        else:\\n            if a_count[j]==2:\\n                ans=(ans*2)%(10**9+7)\\n           \\n            else:\\n                print(0)\\n                break\\n    else:\\n      print(ans)\", \"n = int(input())\\na = list(map(int, input().split()))\\nflg = 0\\n\\na.sort()\\nif n % 2 == 0:\\n  if a[0] == 1 and a[1] == 1:\\n    for i in range(2, n, 2):\\n      if a[i] == a[i + 1] and a[i - 1] + 2 == a[i]:\\n        continue\\n      else:\\n        flg = 1\\n        break\\n  else:\\n    flg = 1\\nelse:\\n  if a[0] == 0:\\n    for i in range(1, n, 2):\\n      if a[i] == a[i + 1] and a[i - 1] + 2 == a[i]:\\n        continue\\n      else:\\n        flg = 1\\n        break\\n  else:\\n    flg = 1\\n\\nif flg == 1:\\n  print(0)\\nelse:\\n  print((2 ** (n // 2)) % (10 ** 9 + 7))\", \"n=int(input())\\nl=list(map(int,input().split()))\\nmod=10**9+7\\nif n%2==0:\\n    d={i:2 for i in range(1,n,2)}\\nelse:\\n    d={i:2 for i in range(0,n,2)}\\n    d[0]=1\\nfor a in l:\\n    if a in d:\\n        d[a]-=1\\n    else:\\n        print(0)\\n        return\\nfor i in d.values():\\n    if i!=0:\\n        print(0)\\n        return\\nprint((2**(n//2))%mod)\", \"def main():\\n  N = int(input())\\n  A = [int(a) for a in input().split(\\\" \\\")]\\n  A.sort()\\n \\n  if N % 2 == 1 and A.count(0) != 1:\\n    print(0)\\n    return 0\\n  elif N % 2 == 0 and A.count(0) > 0:\\n    print(0)\\n    return 0\\n  \\n  if N % 2 == 1:\\n    A.pop(0)\\n  \\n  cnt = 0\\n  while len(A) > 0:\\n    if A[0] != A[1] or (len(A) > 2 and A[0] == A[1] and A[1] == A[2]):\\n      print(0)\\n      return 0\\n    elif A[0] == A[1] == 2 * cnt + (N % 2) + 1:\\n      cnt += 1\\n      A.pop(0)\\n      A.pop(0)\\n    else:\\n      print(0)\\n      return 0\\n \\n  ans = 1\\n  for p in range(cnt):\\n    ans = (ans * 2) % 1000000007\\n  print(ans)\\n\\nmain()\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\n\\nif n == 1:\\n  print(1)\\n  return\\nelif n%2 == 0:\\n  for i in range(0,n-2,2):\\n    if a[i] != a[i+1] or a[i] == a[i+2]:\\n      print(0)\\n      return\\n  if a[-2] != a[-1]:\\n    print(0)\\n    return\\nelse:\\n  if a[0] != 0 or a[1] == 0:\\n    print(0)\\n    return\\n  for i in range(1,n-2,2):\\n    if a[i] != a[i+1] or a[i] == a[i+2]:\\n      print(0)\\n      return\\n  if a[-2] != a[-1]:\\n    print(0)\\n    return\\n\\nmod = 10**9+7\\nif n%2 == 0: print(2**(n//2)%mod)\\nelse: print(2**((n-1)//2)%mod)\", \"N = int(input())\\nA = list(map(int, input().split()))\\nmod = pow(10,9)+7\\nA.sort()\\n\\nif N%2 == 0:\\n    for i in range(N//2):\\n        if A[2*i] != A[2*i+1] or A[2*i] != 2*i+1:\\n            print((0))\\n            return\\n    ans = pow(2,N//2)\\n    print((ans%mod))\\nelse:\\n    if A[0] != 0:\\n        print((0))\\n        return\\n    for i in range(N//2):\\n        if A[2*i+1] != A[2*(i+1)] or A[2*i+1] != 2*(i+1):\\n            print((0))\\n            return\\n    ans = pow(2,N//2)\\n    print((ans%mod))\\n\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n \\na=True\\nif N%2==0:\\n for i in range(1,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    a=False\\n    break\\nelse:\\n if A[0]!=0:a=False\\n else:\\n    for i in range(2,N,2):\\n     if A[i-1]!=i or A[i]!=i:\\n        a=False\\n        break\\nprint(2**(N//2)%(10**9+7) if a else 0)\", \"from collections import Counter\\n\\nN = int(input())\\nA = list(map(int, input().split()))\\nMOD = int(1e9) + 7\\n\\n# \\u5076\\u6570\\u306e\\u5834\\u5408\\nif N % 2 == 0:\\n    c = Counter(A)\\n    if all(i == 2 for i in c.values()):\\n        print(pow(2, N//2, MOD))\\n    else:\\n        print(0)\\n# \\u5947\\u6570\\u306e\\u5834\\u5408\\nelse:\\n    A.sort()\\n    A = A[1:]\\n    c = Counter(A)\\n    if all(i == 2 for i in c.values()):\\n        print(pow(2, N//2, MOD))\\n    else:\\n        print(0)\", \"N = int(input())\\na = list(map(int, input().split()))\\nSum = 1\\nmod = 1000000007\\n\\na.sort()\\ndata = []\\nif N % 2 == 0:\\n    for i in range(int(N / 2)):\\n        data.append(1 + i * 2)\\n        data.append(1 + i * 2)\\nelse:\\n    data.append(0)\\n    for i in range(1, N // 2 + 1):\\n        data.append(i * 2)\\n        data.append(i * 2)\\n\\nif a == data:\\n    for i in range(N // 2):\\n        Sum *= 2\\n        Sum %= mod\\n    print(Sum)\\nelse:\\n    print((0))\\n\", \"N=int(input())\\nA=list(map(int,input().split()))\\n\\nA.sort()\\ncheck=[0]*N\\n\\nfor idx in range(N%2,N,2):\\n    check[idx]=idx+1\\n    check[idx+1]=idx+1\\n\\nans=0\\nmod=10**9+7\\nif check==A:\\n    if N%2==0:\\n        ans=(2**(N//2))%mod\\n    else:\\n        ans=(2**((N-1)//2))%mod\\nprint(ans)\", \"n = int(input())\\na = list(map(int, input().split()))\\n\\nfrom collections import Counter\\nc = Counter(a)\\n\\ncheck_ary = []\\nif n&1:\\n    check_ary.append(0)\\n\\nfor i in range(n//2):\\n    for _ in range(2):\\n        check_ary.append((i+1)*2 if n&1 else i*2+1)\\n\\nc2 = Counter(check_ary)\\n\\nif c != c2:\\n    print(0)\\n    return\\n\\nprint(pow(2, n//2, 10**9+7))\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN = int(input())\\nA = list(map(int, input().split()))\\n\\nB = [0] * N\\n\\nfor a in A:\\n    B[a] += 1\\n\\nok = True\\n\\nif N % 2 == 1:\\n    ok = ok and B[0] == 1\\n    for i in range(1, N):\\n        ok = ok and B[i] == (2 if i % 2 == 0 else 0)\\nelse:\\n    for i in range(N):\\n        ok = ok and B[i] == (0 if i % 2 == 0 else 2)\\n\\nans = 1\\nMOD = int(1e9) + 7\\nfor _ in range(N // 2):\\n    ans *= 2\\n    ans %= MOD\\n\\nprint((ans if ok else 0))\\n\", \"n=int(input())\\nA=list(map(int,input().split()))\\nA.sort()\\njudge=0\\nif n%2==1:\\n    for i in range(n):\\n        if A[i]!=2*((i+1)//2):\\n            judge+=1\\n            break\\nelse:\\n    for i in range(n):\\n        if A[i]!=2*(i//2)+1:\\n            judge+=1\\n            break\\nif judge==1:\\n    print(0)\\nelse:\\n    print((2**(n//2))%(10**9+7))\", \"from collections import Counter\\nn = int(input())\\na = list(map(int, input().split()))\\nc = Counter(a)\\nd = list(c.values())\\nif (n % 2 == 1 and c[0] == 1 and d.count(2) == (n-1)//2) or (n % 2 == 0 and d.count(2) == n//2):\\n    print(pow(2, n//2, 10**9+7))\\nelse:\\n    print(0)\", \"from collections import Counter\\nn = int(input())\\na = list(map(int, input().split()))\\nc = Counter(a)\\nd = list(c.values())\\nif (n % 2 == 1 and c[0] == 1 and d.count(2) == (n-1)//2) or (n % 2 == 0 and d.count(2) == n//2):\\n    print((2**(n//2)) % (10**9+7))\\nelse:\\n    print(0)\", \"N = int(input())\\nK = [0 for i in range(N+1)]\\nA = list(map(int,input().rstrip().split(\\\" \\\")))\\nans = 1\\nfor i in A:\\n    K[i] += 1\\nfor i in range(N):\\n    if i != 0 and K[i] != 0 and K[i] != 2:\\n        ans = 0\\n        break\\n    if K[i] == 2:\\n        ans *= 2\\n        ans %= 10 ** 9 + 7\\nprint(ans)\", \"import collections\\n\\nn = int(input())\\na = list(map(int, input().split()))\\ncnt = collections.Counter(a)\\nmod = 7 + 10**9\\nif n % 2 == 0:\\n    for i in range(1, 1 + n // 2):\\n        if (i * 2 - 1) not in cnt.keys() or cnt[i * 2 - 1] != 2:\\n            print(0)\\n            return\\n\\nelse:\\n    if 0 not in cnt.keys() or cnt[0] != 1:\\n        print(0)\\n        return\\n    for i in range(1, 1 + n // 2):\\n        if i * 2 not in cnt.keys() or cnt[i * 2] != 2:\\n            print(0)\\n            return\\nprint(2 ** (n // 2) % mod)\", \"n = int(input())\\na = list(map(int, input().split()))\\n\\n\\na = sorted(a)\\n\\nnum = 0\\njudge = 0\\n\\nif len(a)%2 == 1:\\n    if a[0] == 0:\\n        for i in range(1, n, 2):\\n            if a[i] == i+1 and a[i+1] == i+1:\\n                num += 1\\n            else:\\n                print(0)\\n                judge = 1\\n                break\\n    else:\\n        print(0)\\n        judge=1\\nelse:\\n    for i in range(0, n, 2):\\n            if a[i] == i+1 and a[i+1] == i+1:\\n                num += 1\\n            else:\\n                print(0)\\n                judge = 1\\n                break\\n        \\nif judge == 0:\\n    result = (2**num)%(10**9+7)\\n    print(result)\", \"from collections import defaultdict\\nN = int(input())\\nA = list(map(int, input().split()))\\n\\nL = A[:]\\nL = list(set(L))\\n\\nmod = 10 ** 9 + 7\\n\\nd = defaultdict(int)\\nfor i in range(N):\\n    d[A[i]] += 1\\n\\nif N % 2 == 1:\\n    bfr = 0\\n    for i in L:\\n        if i - bfr != 2 and i != 0:\\n            print((0))\\n            return\\n\\n        if i == 0:\\n            if d[i] != 1:\\n                print((0))\\n                return\\n            else:\\n                continue\\n        if d[i] != 2:\\n            print((0))\\n            return\\n        bfr = i\\n\\n    print(((2 ** (N // 2)) % mod))\\nelse:\\n    bfr = 1\\n    for i in L:\\n        if i - bfr != 2 and i != 1:\\n            print((0))\\n            return\\n\\n        if d[i] != 2:\\n            print((0))\\n            return\\n        bfr = i\\n\\n    print(((2 ** (N // 2)) % mod))\\n\", \"n = int(input())\\na = list(map(int,input().split()))\\nmod = 10**9+7\\n\\na.sort()\\n\\nif n%2 == 1: \\n    if a[0] != 0:\\n        print((0))\\n        return\\n    else:\\n        a.remove(0)\\n        tmp = 2\\nelse:\\n    tmp = 1\\n\\nfor i in range(n//2):\\n    if tmp == a[0] and tmp == a[1]:\\n        a.remove(tmp)\\n        a.remove(tmp)\\n    else:\\n        print((0))\\n        return\\n    tmp += 2\\n\\nif len(a) == 0:\\n    print(((2**(n//2))%mod))\\nelse:\\n    print((0))\\n\\n\\n\", \"n = int(input())\\na = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\nnum_map = [0] * ((n + 2 - 1) // 2)\\nfor i in range(n):\\n    num_map[a[i] // 2] += 1\\n\\nres = 1\\nif n % 2 == 1:\\n    if num_map[0] != 1:\\n        print((0))\\n    else:\\n        for i in range(1, (n + 2 - 1) // 2):\\n            if num_map[i] != 2:\\n                print((0))\\n                break\\n            else:\\n                res = res * 2 % mod\\n        else:\\n            print(res)\\nelse:\\n    for i in range((n + 2 - 1) // 2):\\n        if num_map[i] != 2:\\n            print((0))\\n            break\\n        else:\\n            res = res * 2 % mod\\n    else:\\n        print(res)\\n\", \"N=int(input())\\nA=list(map(int,input().split()))\\nmod = 10**9+7\\n\\nA=tuple(sorted(A))\\n\\nif N % 2 == 1:\\n  nums=[0]\\n  for i in range(2,N+1,2):\\n    nums.append(i)\\n    nums.append(i)\\nelse:\\n  nums=[]\\n  for i in range(1,N+1,2):\\n    nums.append(i)\\n    nums.append(i)\\n    \\nnums = tuple(nums)\\nif A != nums:\\n  print(0)\\n  return\\n  \\nprint(2**(N//2) % mod)\", \"N = int(input())\\nA = list(map(int,input().split()))\\nA.sort()\\nmod = 10**9 + 7\\nif N%2 == 0:\\n    for i in range(N):\\n        if A[i] != 1+(i//2)*2:\\n            print(0)\\n            break\\n    else:\\n        print(pow(2,N//2,mod))\\nelse:\\n    if A[0] == 0:\\n        for i in range(1,N):\\n            if A[i] != ((i+1)//2)*2:\\n                print(0)\\n                break\\n        else:\\n            print(pow(2,N//2,mod))\", \"n = int(input())\\na = list(map(int,input().split()))\\nmod = 10**9 + 7\\n\\nd = [0]*(n+1)\\nfor x in a:\\n    d[x] += 1\\nans = 1\\nif n%2 == 0:\\n    sw = 1\\n    for i,x in enumerate(d):\\n        if i%2 != 0:\\n            if x == 2:\\n                ans *= 2\\n                ans %= mod\\n            else:\\n                sw = 0\\n                break\\n        else:\\n            if x != 0:\\n                sw = 0\\n                break\\nelse:\\n    sw = 1\\n    for i,x in enumerate(d):\\n        if i%2 == 0:\\n            if i == 0:\\n                if x != 1:\\n                    sw = 0\\n                    break\\n            else:\\n                if x == 2:\\n                    ans *= 2\\n                    ans %= mod\\n                else:\\n                    sw = 0\\n                    break\\n        else:\\n            if x != 0:\\n                sw = 0\\n                break\\nif sw == 0:\\n    ans = 0\\nprint(ans)\\n\", \"N = int(input())\\nA = sorted(list(map(int,input().split())))\\n\\nif N%2==0:\\n  B = [1+2*(n//2) for n in range(N)]\\nelse:\\n  B = [2*(n//2) for n in range(1,1+N)]\\n\\nif A==B:\\n  print(pow(2,N//2,10**9+7))\\nelse:\\n  print(0)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\nMOD = 10 ** 9 + 7\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N = I()\\n    A = LI()\\n\\n    if N % 2 == 0:\\n        if sorted(A) == [i // 2 * 2 + 1 for i in range(N)]:\\n            print((pow(2, N // 2, MOD)))\\n        else:\\n            print((0))\\n    else:\\n        if sorted(A) == [(i // 2 + 1) * 2 for i in range(-1, N - 1)]:\\n            print((pow(2, (N - 1) // 2, MOD)))\\n        else:\\n            print((0))\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"def PowerMod(N,P,Mod):\\n    if N%Mod==0:\\n        return 0\\n    else:\\n        PowM = 1\\n        for TP in range(1,P+1):\\n            PowM = (PowM*N)%Mod\\n        return PowM\\n\\nfrom collections import Counter\\nN = int(input())\\nA = sorted(Counter([int(T) for T in input().split()]).most_common(),key=lambda X:X[0])\\nPassFlag = True\\nif N%2==1:\\n    for TA in range(0,(N+1)//2):\\n        if A[TA][0]!=(2*TA) or A[TA][1]!=(1+(A[TA][0]!=0)):\\n            PassFlag = False\\n            break\\n    print([0,PowerMod(2,(N-1)//2,10**9+7)][PassFlag])\\nelse:\\n    for TA in range(0,N//2):\\n        if A[TA][0]!=(2*TA+1) or A[TA][1]!=2:\\n            PassFlag = False\\n            break\\n    print([0,PowerMod(2,N//2,10**9+7)][PassFlag])\", \"from collections import Counter\\n\\nn = int(input())\\nc = Counter(list(map(int, input().split())))\\n\\nans = 0\\nfor k, v in list(c.items()):\\n    if k == 0:\\n        if n%2==0 and v > 2:\\n            print((0))\\n            return\\n        elif n%2==1 and v > 1:\\n            print((0))\\n            return\\n    else:\\n        ans += 1\\n        if v > 2:\\n            print((0))\\n            return\\n\\nprint((pow(2, ans, 10**9+7)))\\n\", \"from typing import Counter\\n\\n\\nn = int(input())\\nlis = list(map(int, input().split()))\\nmod  =10**9+7\\n\\nans = 0\\nif n % 2 == 0:\\n    b = Counter(lis)\\n    flag = 1\\n    for i in list(b.values()):\\n        if i == 2:\\n            pass\\n        else:\\n            flag = 0\\n            break\\n    if flag:\\n        ans = 2**(n//2)\\n        print((ans % mod))\\n    else:\\n        print((0))\\nelse:\\n    lis = sorted(lis)\\n    lis = lis[1:]\\n    b = Counter(lis)\\n    flag = 1\\n    for i in list(b.values()):\\n        if i == 2:\\n            pass\\n        else:\\n            flag = 0\\n            break\\n    if flag:\\n        ans = 2**(n//2)\\n        print((ans % mod))\\n    else:\\n        print((0))\\n\", \"n=int(input())\\na=list(map(int,input().split()))\\nflag=0\\nA=a.sort()\\nnum=[]\\n\\nif n%2==0:\\n    for i in range(1,n,2):\\n        num.append(i)\\n        num.append(i)\\n\\nif n%2==1:\\n    num=[0]\\n    for i in range(2,n,2):\\n        num.append(i)\\n        num.append(i)\\n\\nif num==a:\\n    print(2**(n//2)%(10**9+7))\\n\\nelse:\\n    print(\\\"0\\\")\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\nf=lambda:2**(N//2)%(10**9+7)\\na=True\\nif N%2==0:\\n    for i in range(1,N,2):\\n        if A[i-1]!=i or A[i]!=i:\\n            # print(i,A[i-1],A[i])\\n            a=False\\n            break\\nelse:\\n    if A[0]!=0:\\n            a=False\\n    else:\\n        for i in range(2,N,2):\\n            if A[i-1]!=i or A[i]!=i:\\n                # print(i,A[i-1],A[i])\\n                a=False\\n                break\\nprint(f() if a else 0)\", \"n = int(input())\\nA = list(map(int, input().split()))\\n\\nd = {}\\nfor a in A:\\n    d[a] = d.get(a, 0)+1\\n\\nzero_cnt = 0\\ntwo = 0\\nno = 0\\nfor i in d:\\n    if i==0:\\n        zero_cnt+=1\\n    elif d[i]==2:\\n        two+=1\\n    else:\\n        no+=1\\n\\nif no!=0 or (n%2==0 and zero_cnt!=0) or (n%2==1 and zero_cnt!=1):\\n    print((0))\\nelse:\\n    ans = 1\\n    mod = 10**9+7\\n    for i in range(two):\\n        ans *= 2\\n        ans %= mod\\n    print((ans%mod))\\n\", \"MOD = 10 ** 9 + 7\\nnum = [0] * (10 ** 5 + 1)\\nN = int(input())\\nA = list(map(int,input().split()))\\nfor i in range(len(A)):\\n\\tnum[A[i]] += 1\\nif N % 2 == 1:\\n\\tfor i in range(0,N,2):\\n\\t\\tcnt = num[i]\\n\\t\\tif i == 0:\\n\\t\\t\\tif cnt != 1:\\n\\t\\t\\t\\tprint(0)\\n\\t\\t\\t\\treturn\\n\\t\\telse:\\n\\t\\t\\tif cnt != 2:\\n\\t\\t\\t\\tprint(0)\\n\\t\\t\\t\\treturn\\n\\tprint(2 ** (N // 2) % MOD)\\nelse:\\n\\tfor i in range(1,N,2):\\n\\t\\tcnt = num[i]\\n\\t\\tif cnt != 2:\\n\\t\\t\\tprint(0)\\n\\t\\t\\treturn\\n\\tprint(2 ** (N // 2) % MOD)\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\ndef f(x):\\n for i in range(x,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    return False\\n return True   \\n    \\na=True\\nif N%2==0:a=f(1)\\nelse:\\n if A[0]!=0:a=False\\n else:a=f(2)\\nprint(2**(N//2)%(10**9+7) if a else 0)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, *A = list(map(int, read().split()))\\n\\n    A.sort()\\n\\n    ok = True\\n    if len(A) % 2 == 0:\\n        for i in range(N // 2):\\n            if not A[2 * i] == A[2 * i + 1] == 2 * i + 1:\\n                ok = False\\n                break\\n    else:\\n        if A[0] != 0:\\n            ok = False\\n        else:\\n            for i in range(N // 2):\\n                if not A[2 * i + 1] == A[2 * i + 2] == 2 * i + 2:\\n                    ok = False\\n                    break\\n\\n    if ok:\\n        ans = pow(2, N // 2, MOD)\\n    else:\\n        ans = 0\\n\\n    print(ans)\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nA = list(map(int, input().split()))\\n\\nm = 1000000007\\n\\nA.sort()\\nif N % 2 == 0:\\n    B = list(range(1, N, 2)) * 2\\nelse:\\n    B = [0] + list(range(2, N, 2)) * 2\\nB.sort()\\n\\nif A != B:\\n    print((0))\\nelse:\\n    result = 1\\n    for i in range(N // 2):\\n        result *= 2\\n        result %= m\\n    print(result)\\n\", \"N = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfrom collections import defaultdict as dd\\nDict = dd(lambda:0)\\nfor a in A:\\n    Dict[a] += 1\\n\\nif N & 1: Dict[0] += 1\\nf = (lambda:(lambda x:0 if x&1 else 2) if N&1 else (lambda x:2 if x&1 else 0))()\\nPossible = {i:f(i) for i in range(N)}\\nfor key,value in list(Dict.items()):\\n    if value != Possible[key]:\\n        print((0))\\n        return\\nelse:\\n    print((2**(N//2)%1000000007))\\n                \\n\\n\", \"import sys\\n\\n# n = 10 ** 5\\n# \\u30c7\\u30fc\\u30bf\\u8aad\\u307f\\u8fbc\\u307f\\u95a2\\u4fc2\\nn = int(input())\\n\\na = list(map(int, input().split(' ')))\\n\\nrecord = {}\\n\\npossible = True\\n\\n# \\u72b6\\u6cc1\\u304c\\u5b9f\\u73fe\\u53ef\\u80fd\\u304b\\u78ba\\u8a8d\\nfor e in a:\\n    if(e in record.keys()):\\n        record[e] += 1\\n        if(record[e] == 2):\\n            if(e == 0):\\n                possible = False\\n                break\\n        if(record[e] == 3):\\n            possible = False\\n            break\\n    else:\\n        record[e] = 1\\n\\nif(possible == False):\\n    print(0)\\n    return\\n\\nmultiCount = int(n / 2)\\n\\nprint(2 ** multiCount % (10 ** 9 + 7))\", \"import collections\\nN = int(input())\\nA = list(map(int,input().split()))\\nans = 1\\nif 0 in A:\\n    A.remove(0)\\nAcounter = collections.Counter(A)\\nfor i in Acounter.values():\\n    if i == 2:\\n        continue\\n    else:\\n        ans = 0\\n        break\\nif ans == 0:\\n    pass\\nif ans != 0:\\n    for i in range(N//2):\\n        ans = (ans * 2) % (10**9 + 7)\\nprint(ans)\", \"import sys\\nsys.setrecursionlimit(10 ** 7)\\ndef input() : return sys.stdin.readline().strip()\\ndef INT()   : return int(input())\\ndef MAP()   : return map(int,input().split())\\ndef LIST()  : return list(MAP())\\ndef NIJIGEN(H): return [list(input()) for i in range(H)]\\nmod=1000000007\\nN=INT()\\nL=LIST()\\nif N%2==0:\\n  A=range(1,N,2)\\n  B=range(1,N,2)\\nelse:\\n  A=range(0,N,2)\\n  B=range(2,N,2)\\nA,B=list(A),list(B)\\nA=A+B\\nif sorted(A)==sorted(L):\\n  print(pow(2,N//2,mod))\\nelse:\\n  print(0)\", \"n=int(input())\\na=list(map(int,input().split()))\\n\\nb=[0 for i in range(10**5+1)]\\nfor i in a:\\n  b[i]+=1\\n\\nif (n%2==0 and b[0]!=0) or (n%2==1 and b[0]!=1):\\n  print(0)\\n  return\\n\\nans=1\\nmod=10**9+7\\nfor i in b:\\n  if i==2:\\n    ans*=2\\n    ans%=mod\\n  if i>=3:\\n    print(0)\\n    return\\n\\nprint(ans)\", \"from collections import Counter\\n\\nn=int(input())\\na=list(map(int,input().split()))\\n\\nc=Counter(a)\\n\\nif (n%2==0 and c[0]!=0) or (n%2==1 and c[0]!=1):\\n  print(0)\\n  return\\n\\nans=1\\nmod=10**9+7\\nfor i in c:\\n  if c[i]==2:\\n    ans*=2\\n    ans%=mod\\n  if c[i]>=3:\\n    print(0)\\n    return\\n\\nprint(ans)\", \"from collections import Counter\\n\\nN = int(input())\\nabs_diffs = list(map(int, input().split()))\\n\\nif N % 2 == 0:\\n    expected = [i // 2 * 2  + 1 for i in range(N)]\\n    dims = N // 2\\nelse:\\n    expected = [(i + 1) // 2 * 2 for i in range(N)]\\n    dims = (N - 1) // 2\\n\\nif sorted(abs_diffs) == expected:\\n    print((2 ** dims % (10 ** 9 + 7)))\\n\\nelse:\\n    print((0))\\n\", \"n = int(input())\\nA = sorted(map(int,input().split()))\\n\\nif n % 2 == 1:\\n    ex = [0]\\n    \\n    for i in range(n//2):\\n        a = 2 * (i+1)\\n        ex += [a,a]\\n        \\nelse:\\n    ex = []\\n    a = 1\\n    \\n    for i in range(n//2):\\n        ex += [a,a]\\n        a += 2\\n        \\nans = 0\\n\\nif A == ex:\\n    ans = 2 ** (n//2) % (10**9 + 7)\\n    \\nprint(ans)\", \"n = int(input())\\na = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\nif n % 2 == 0:\\n    b = [2 if i % 2 == 1 else 0 for i in range(n)]\\nelse:\\n    b = [2 if i % 2 == 0 else 0 for i in range(n)]\\n    b[0] = 1\\nc = [0 for i in range(n)]\\nfor i in range(n):\\n    c[a[i]] += 1\\nif b != c:\\n    print(0)\\nelse:\\n    ans = 1\\n    for i in range(n // 2):\\n        ans *= 2\\n        ans %= mod\\n    print(ans)\", \"N = int(input())\\nA = sorted(list(map(int,input().split())))\\n\\nif N%2==0:\\n  B = [2*(n//2)+1 for n in range(N)]\\nelse:\\n  B = [2*(n//2) for n in range(1,N+1)]\\n\\nif A==B:\\n  print(pow(2,N//2,10**9+7))\\nelse:\\n  print(0)\", \"MOD = 10**9+7\\n\\ndef fast_pow(x, n, MOD):\\n    res = 1\\n    while n:\\n        if n & 1:\\n            res = res * x % MOD\\n        x = x * x % MOD\\n        n >>= 1\\n    return res\\n\\n\\nn = int(input())\\na = list(map(int, input().split()))\\n\\nd = {}\\nfor i in a:\\n    if n % 2:\\n        if i > 0 and i % 2:\\n            print((0))\\n            return\\n    else:\\n        if i > 0 and i % 2 == 0:\\n            print((0))\\n            return\\n\\n    if not i in d:\\n        d[i] = 1\\n    elif d[i] == 1:\\n        d[i] += 1\\n    else:\\n        print((0))\\n        return\\n\\nif n % 2:\\n    if d[0] != 1:\\n        print((0))\\n        return\\n    print((fast_pow(2, len(d)-1, MOD)))\\nelse:\\n    if 0 in d:\\n        print((0))\\n        return\\n    print((fast_pow(2, len(d), MOD)))\\n\", \"import math\\nN = int(input())\\nA = list(map(int, input().split()))\\n\\nflag = True\\nif N%2 == 0:\\n    if 0 in A or len(set(A)) != N//2:\\n        flag = False\\nelse:\\n    if len([0 for a in A if a == 0]) != 1 or len(set(A)) != N//2 + 1:\\n        flag = False\\n\\nif  flag:\\n    print((2**((N//2))%(10**9+7)))\\nelse:\\n    print((0))\\n\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\ndef f(x):\\n for i in range(x,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    return 0\\n return 1   \\n    \\na=1\\nif N%2==0:a=f(1)\\nelse: a=A[0]==0 and f(2)\\nprint(2**(N//2)%(10**9+7)*a)\", \"n = int(input())\\nA = tuple(map(int, input().split()))\\nmod = 10**9+7\\n\\nniseven = (n%2 == 0)\\n\\ncd = dict()\\nfor a in (A):\\n    cd.setdefault(a, 0)\\n    cd[a] += 1\\n    if a == 0 and cd[a] > 1:\\n        print((0))\\n        break\\n    if a > 0 and cd[a] > 2:\\n        print((0))\\n        break\\n    if (a%2==0) == niseven:\\n        print((0))\\n        break\\nelse:\\n    print((pow(2, n//2, mod)))\\n\", \"def main():\\n  N=int(input())\\n  A=list(map(int,input().split()))\\n  mod=10**9+7\\n  ans=1\\n  A.sort()\\n  if N%2==0:\\n    for i in range(0,N,2):\\n      if A[i]!=A[i+1] or A[i]!=i+1:\\n        print(0)\\n        return\\n      ans=ans*2%mod\\n    print(ans)\\n  else:\\n    if A[0]!=0:\\n      print(0)\\n      return\\n    ans=1\\n    for i in range(1,N,2):\\n      if A[i]!=A[i+1] or A[i]!=i+1:\\n        print(0)\\n        return\\n      ans=ans*2%mod\\n    print(ans)\\ndef __starting_point():\\n  main()\\n__starting_point()\", \"n = int(input())\\na = list(map(int, input().split()))\\n\\n# \\u77db\\u76fe\\u30c1\\u30a7\\u30c3\\u30af\\nfrom collections import Counter\\nc = Counter(a)\\n\\ndef check():\\n    if n&1:\\n        if c[0]!=1:\\n            return False\\n        for i in range((n-1)//2):\\n            if c[2*(i+1)] != 2:\\n                return False\\n    else:\\n        for i in range(n//2):\\n            if c[2*i+1] != 2:\\n                return False\\n    return True\\n\\nif not check():\\n    print(0)\\n    return\\n\\nprint(pow(2, n//2, 10**9+7))\", \"n = int(input())\\na = list(map(int,input().split()))\\ndic = {}\\nfor i in range(n):\\n    dic.setdefault(a[i],0)\\n    dic[a[i]] += 1\\nans = 1\\nfor key,value in dic.items():\\n    #\\u5076\\u6570\\n    if n%2==0:\\n        if n > key and key%2==1 and value==2:\\n            ans *= 2\\n        else:\\n            ans = 0\\n            break\\n    #\\u5947\\u6570\\n    else:\\n        if n > key and key%2==0:\\n            if key==0 and value==1:\\n                ans *= 1\\n            elif value==2:\\n                ans *= 2\\n            else:\\n                ans = 0\\n                break\\n        else:\\n            ans = 0\\n            break\\nprint(ans%(10**9+7))\", \"N=int(input())\\nMOD=10**9+7\\nA=[int(x) for x in input().split()]\\nflag=1#\\u305d\\u306e\\u4e26\\u3073\\u9806\\u304c\\u3042\\u308a\\u3048\\u308b\\u306a\\u30891\\u3001\\u305d\\u3046\\u3067\\u306a\\u3044\\u306a\\u30890\\nset1=set()\\nset2=set()\\nif N%2==1:\\n    set1.add(0)\\n    for j in range(2,N+1,2):\\n        set1.add(j)\\n        set2.add(j)\\n    for i in range(N):\\n        now=A[i]\\n        if now in set1:\\n            set1.remove(now)\\n        elif now in set2:\\n            set2.remove(now)\\n        else:\\n            flag=0\\n            break\\n    if len(set1)!=0 or len(set2)!=0:\\n        flag=0\\nelse:\\n    for k in range(1,N+1,2):\\n        set1.add(k)\\n        set2.add(k)\\n    for p in range(N):\\n        now=A[p]\\n        if now in set1:\\n            set1.remove(now)\\n        elif now in set2:\\n            set2.remove(now)\\n        else:\\n            flag=0\\n            break\\n    if len(set1)!=0 or len(set2)!=0:\\n        flag=0\\nif flag==0:\\n    print((0))\\nelse:\\n    ans=1\\n    div2=N//2\\n    for q in range(div2):\\n        ans*=2\\n        ans%=MOD\\n    print(ans)\\n\", \"N = int(input())\\nA = list(map(int, input().split()))\\n\\nm = 1000000007\\n\\nA.sort()\\nif N % 2 == 0:\\n    B = list(range(1, N, 2)) * 2\\nelse:\\n    B = [0] + list(range(2, N, 2)) * 2\\nB.sort()\\n\\nif A != B:\\n    print((0))\\nelse:\\n    result = 1\\n    for i in range(N // 2):\\n        result *= 2\\n        result %= m\\n    print(result)\\n\", \"from collections import Counter\\n\\nN,*A = map(int, open(0).read().split())\\nac = Counter(A)\\nif N % 2 == 0:\\n    for i in range(1,N,2):\\n        if ac[i] != 2:\\n            print(0)\\n            break\\n    else:\\n        print(pow(2,N//2,1000000007))\\nelse:\\n    if ac[0] != 1:\\n        print(0)\\n    else:\\n        for i in range(2,N,2):\\n            if ac[i] != 2:\\n                print(0)\\n                break\\n        else:\\n            print(pow(2,N//2,1000000007))\", \"n=int(input())\\na=list(map(int,input().split()))\\nif n%2==1:\\n    x=[i for i in range(n)]\\n    for i in range(n):\\n        if i%2==1:\\n            x[i]+=1\\nelse:\\n    x=[i for i in range(n)]\\n    for i in range(n):\\n        if i%2==0:\\n            x[i]+=1\\na.sort()\\nif x==a:\\n    print(pow(2,(n//2),10**9+7))\\nelse:\\n    print(0)\", \"import sys\\nfrom collections import deque\\np=10**9+7\\n\\ndef main(n,a):\\n  h=n//2\\n  g=n%2\\n  a.sort()\\n  c=[2*(x//2)+g+1 for x in range(n-g)]\\n  if g==1:\\n    c.insert(0,0)\\n  if a!=c:\\n      return 0\\n  return 2**(h%(p-1)) % p\\n\\ndef __starting_point():\\n  n=int(input())\\n  a=list(map(int,sys.stdin.readline().strip().split()))\\n  print((main(n,a)))\\n\\n__starting_point()\", \"N=int(input())\\nS=list(map(int,input().split()))\\nlenS=len(S)\\nT=[]\\nfor i in range(1,N+1):\\n    T.append(abs(i-(N+1-i)))\\n\\nT.sort()\\nS.sort()\\n\\n\\n\\nfor i in range(N):\\n    if T[i]!=S[i]:\\n        print((0))\\n        return\\n\\n\\nans=1\\nnagasa=lenS//2\\nfor i in range(nagasa):\\n    \\n    ans=(ans*2)%(10**9+7)\\n\\nprint(ans)\\n\\n\\n\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\n\\nif n%2 == 0: # \\u4eba\\u6570\\u304c\\u5076\\u6570\\u306e\\u5834\\u5408\\u306b\\u4e0d\\u6574\\u5408\\u304c\\u3042\\u308b\\u304b\\u78ba\\u8a8d\\n  for i in range(0,n,2):\\n    if a[i] != i+1 or a[i] != a[i+1]:\\n      print(0)\\n      return\\nelse: # \\u4eba\\u6570\\u304c\\u5947\\u6570\\u306e\\u5834\\u5408\\u306b\\u4e0d\\u6574\\u5408\\u304c\\u3042\\u308b\\u304b\\u78ba\\u8a8d\\n  if a[0] != 0: # \\u5dee\\u5206\\u304c0\\u5b58\\u5728\\u3057\\u3066\\u3044\\u308b\\u3053\\u3068\\u3092\\u78ba\\u8a8d\\n    print(0)\\n    return\\n  else:\\n    for i in range(1,n,2):\\n      if a[i] != i+1 or a[i] != a[i+1]:\\n        print(0)\\n        return\\n\\nans = 1\\nfor i in range(n//2):\\n  ans = ans * 2 % (10**9+7) # \\u7d44\\u307f\\u5408\\u308f\\u305b\\u3068\\u3057\\u3066\\u306f\\u540c\\u3058\\u5dee\\u5206\\u306e\\u5024\\u3092\\u5165\\u308c\\u66ff\\u3048\\u308b2\\u629e\\u306b\\u306a\\u308b\\u306e\\u3067\\u3001\\u7d50\\u679c\\u30922\\u500d\\u306b\\u3059\\u308b\\nprint(ans)\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\na=True\\nif N%2==0:\\n for i in range(1,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    a=False\\n    break\\nelse:\\n if A[0]!=0:a=False\\n else:\\n    for i in range(2,N,2):\\n     if A[i-1]!=i or A[i]!=i:\\n        a=False\\n        break\\nprint(2**(N//2)%(10**9+7) if a else 0)\", \"import math\\nN = int(input())\\nA = list(map(int, input().split()))\\n\\nflag = True\\nif N%2 == 0:\\n    if 0 in A or len(set(A)) != N//2:\\n        flag = False\\nelse:\\n    if len([0 for a in A if a == 0]) != 1 or len(set(A)) != N//2 + 1:\\n        flag = False\\n\\nif  flag:\\n    print((2**(math.floor(N/2))%(10**9+7)))\\nelse:\\n    print((0))\\n\", \"from collections import Counter\\n\\nn = int(input())\\nA = list(map(int, input().split()))\\ncnt_A = Counter(A)\\n\\nif all([v == 2 for k, v in cnt_A.items() if k != 0]):\\n    print(pow(2, n // 2, 10**9 + 7))\\nelse:\\n    print(0)\", \"N=int(input())\\nMOD=1000000007\\nA=list(map(int,input().split()))\\ncnt=[0 for i in range(N)]\\nfor i in range(N):\\n    cnt[A[i]]+=1\\nif N%2==0:\\n    for i in range(1,N,2):\\n        if cnt[i]!=2:\\n            print((0))\\n            break\\n    else:\\n        print((2**(N//2)%MOD))\\nelse:\\n    if cnt[0]!=1:\\n        print((0))\\n    else:\\n        for i in range(2,(N+1)//2,2):\\n            if cnt[i]!=2:\\n                print((0))\\n                break\\n        else:\\n            print((2**((N-1)//2)%MOD))\\n\", \"import collections\\nimport sys\\ninput = sys.stdin.readline\\n\\nN = int(input())\\nA = list(map(int,input().split()))\\nm = 1000000007\\n\\nflag0 = 1\\ncount = 0\\n#\\u5076\\u6570\\u3060\\u3063\\u305f\\u3089\\nif N %2 ==0:\\n    colA = collections.Counter(A)\\n    for key,val in list(colA.items()):\\n        if key%2 != 1 or val != 2:\\n            flag0 = 0\\n            break\\n    for i in range(1,N,2):\\n        if i not in list(colA.keys()):\\n            flag = 0\\n            break\\n        else:\\n            count +=1\\n#\\u5947\\u6570\\u3060\\u3063\\u305f\\u3089\\nelse:\\n    A.append(0)\\n    colA = collections.Counter(A)\\n    for key,val in list(colA.items()):\\n        if key%2 != 0 or val != 2:\\n            flag0 = 0\\n            break\\n    for i in range(0,N,2):\\n        if i not in list(colA.keys()):\\n            flag = 0\\n            break\\n        else:\\n            count +=1\\n    count -=1\\n\\n\\nprint((((2**count)%m)*flag0))\\n    \\n\"]",
        "difficulty": "introductory",
        "input": "5\n2 4 4 0 2\n",
        "output": "4\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc050/tasks/arc066_a"
    },
    {
        "id": 269,
        "task_id": 4604,
        "test_case_id": 2,
        "question": "There are N people, conveniently numbered 1 through N.\nThey were standing in a row yesterday, but now they are unsure of the order in which they were standing.\nHowever, each person remembered the following fact: the absolute difference of the number of the people who were standing to the left of that person, and the number of the people who were standing to the right of that person.\nAccording to their reports, the difference above for person i is A_i.\nBased on these reports, find the number of the possible orders in which they were standing.\nSince it can be extremely large, print the answer modulo 10^9+7.\nNote that the reports may be incorrect and thus there may be no consistent order.\nIn such a case, print 0.\n\n-----Constraints-----\n - 1≦N≦10^5\n - 0≦A_i≦N-1\n\n-----Input-----\nThe input is given from Standard Input in the following format:\nN\nA_1 A_2 ... A_N\n\n-----Output-----\nPrint the number of the possible orders in which they were standing, modulo 10^9+7.\n\n-----Sample Input-----\n5\n2 4 4 0 2\n\n-----Sample Output-----\n4\n\nThere are four possible orders, as follows:\n - 2,1,4,5,3\n - 2,5,4,1,3\n - 3,1,4,5,2\n - 3,5,4,1,2",
        "solutions": "[\"n = int(input())\\na = [int(x) for x in input().split()]\\na.sort()\\nmod = 10 ** 9 + 7\\n\\ndef p(p):\\n  ans = 1\\n  for i in range(p):\\n    ans *= 2\\n    ans %= mod\\n  return ans\\n\\nif n % 2 == 1:\\n  res = True\\n  for i in range(n):\\n    if a[i] != ((i + 1) // 2) * 2:\\n      res = False\\n  if res:\\n    print(p(n // 2))\\n  else:\\n    print(0)\\n    \\nelse:\\n  res = True\\n  for i in range(n):\\n    if a[i] != (i // 2) * 2 + 1:\\n      res = False\\n  if res:\\n    print(p(n // 2))\\n  else:\\n    print(0)\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\ndef f(x):\\n for i in range(x,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    return 0\\n return 1   \\n    \\na=1\\nif N%2==0:a=f(1)\\nelse:\\n if A[0]!=0:a=0\\n else:a=f(2)\\nprint(2**(N//2)%(10**9+7)*a)\", \"import math\\n\\nN = 5\\nARR = [2, 4, 4, 0, 2]\\n\\nN = 7\\nARR = [6, 4, 0, 2, 4, 0, 2]\\n#\\n# N = 8\\n# ARR = [7, 5, 1, 1, 7, 3, 5, 3]\\n#\\nN = int(input())\\nARR = list(map(int, input().split()))\\n\\n\\ndef calculate(n, arr):\\n    if n % 2 == 0:\\n        n = n // 2\\n        start = 1\\n        finalResult = pow(2, n, 1000000000 + 7)\\n    else:\\n        n = n // 2 + 1\\n        start = 0\\n        finalResult = pow(2, (n - 1), 1000000000 + 7)\\n\\n    result = {}\\n    for i in range(n):\\n        index = start + 2 * i\\n        if index == 0:\\n            result.__setitem__(0, 1)\\n        else:\\n            result.__setitem__(index, 2)\\n\\n    isOk = True\\n    for i in range(len(arr)):\\n        if result.get(arr[i]) == None:\\n            isOk = False\\n            break\\n\\n        if result.get(arr[i]) == 0:\\n            isOk = False\\n            break\\n\\n        result.__setitem__(arr[i], result.get(arr[i])-1)\\n\\n    if isOk == False:\\n        print((0))\\n        return\\n\\n    if sum(result.values()) == 0:\\n        print(finalResult)\\n    else:\\n        print((0))\\n\\n\\ncalculate(N, ARR)\\n\", \"n = int(input())\\na = list(map(int, input().split()))\\na.sort()\\nres = True\\nif n % 2 != 0:\\n  if a[0] != 0:\\n    res = False\\n    print(0)\\n  a = a[1:]\\nfor i in range(0, len(a), 2):\\n  if a[i] != a[i+1]:\\n    print(0)\\n    res = False\\n    break\\n\\np = 10**9 + 7\\nif res:\\n  print(pow(2, n//2, p))\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\nans = 1\\n\\nif n%2 == 0:\\n    for i in range(0, n, 2):\\n        if a[i] != i + 1 or a[i + 1] != i + 1:\\n            print(0)\\n            return\\nelse:\\n    if a[0] != 0:\\n        print(0)\\n        return\\n    for i in range(1, n, 2):\\n        if a[i] != i + 1 or a[i + 1] != i + 1:\\n            print(0)\\n            return\\n\\nfor i in range(n//2):\\n    ans = ans*2%(10**9 + 7)\\n\\nprint(ans)\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\n\\nif n%2 == 0: # \\u4eba\\u6570\\u304c\\u5076\\u6570\\u306e\\u5834\\u5408\\u306b\\u4e0d\\u6574\\u5408\\u304c\\u3042\\u308b\\u304b\\u78ba\\u8a8d\\n  for i in range(0,n,2):\\n    if a[i] != i+1 or a[i+1] != i+1:\\n      print(0)\\n      return\\nelse: # \\u4eba\\u6570\\u304c\\u5947\\u6570\\u306e\\u5834\\u5408\\u306b\\u4e0d\\u6574\\u5408\\u304c\\u3042\\u308b\\u304b\\u78ba\\u8a8d\\n  if a[0] != 0: # \\u5dee\\u5206\\u304c0\\u5b58\\u5728\\u3057\\u3066\\u3044\\u308b\\u3053\\u3068\\u3092\\u78ba\\u8a8d\\n    print(0)\\n    return\\n  else:\\n    for i in range(1,n,2):\\n      if a[i] != i + 1 or a[i+1] != i + 1:\\n        print(0)\\n        return\\n        \\nans = 1        \\nfor i in range(n//2):\\n  ans = ans*2%(10**9+7)\\nprint(ans)\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\nif n % 2 == 0:\\n    b,s = [1,1],3\\nelse:\\n    b,s = [0],2\\nfor i in range(s,n,2):\\n    b += [i,i]\\nif a == b:\\n    print(pow(2,n//2,1000000007))\\nelse:\\n    print(0)\", \"N = int(input())\\nN_List = sorted(list(map(int,input().split())))\\nflg = 0\\nans = 1\\nif N % 2 == 1:\\n    if N_List[0] != 0:\\n        flg = 1\\n    else:\\n        for i in range(2,N,2):\\n            if i*2 != sum(N_List[i-1:i+1]):\\n                flg = 1\\n                break\\n            else:\\n                ans = (ans * 2) % ((10**9) +7)\\n        \\n\\nelse:\\n    for i in range(1,N,2):\\n        if i*2 != sum(N_List[i-1:i+1]):\\n            flg = 1\\n            break\\n        else:\\n            ans = (ans * 2) % ((10**9) +7)\\n\\nif flg == 0:\\n    print(ans)\\nelse:\\n    print((0))\\n\\n                \\n\", \"N = int(input())\\nA = [int(x) for x in input().split()]\\n\\ncnt = {}\\nif N & 1:\\n    bit = 1\\nelse:\\n    bit = 0\\n\\nfor a in A:\\n    if a & bit:\\n        ans = 0\\n        break\\n    if a in cnt:\\n        cnt[a] += 1\\n    else:\\n        cnt[a] = 1\\n\\nfor key in list(cnt.keys()):\\n    if key == 0 and cnt[key] != 1:\\n        ans = 0\\n        break\\n    if key != 0 and cnt[key] != 2:\\n        ans = 0\\n        break\\nelse:\\n    ans = 2**(N//2) %1000000007\\nprint(ans)\\n\", \"n=int(input())\\nfrom collections import Counter as co\\nc=co(map(int,input().split()))\\nans=pow(2,n//2,10**9+7)\\nif n%2 :\\n    if 0 not in c or c[0]>1:ans=0\\n    for i in range(1,n):\\n        if i%2==0 :\\n            if i not in c or c[i]!=2:ans=0;break\\n        else:\\n            if i in c:ans=0;break\\nelse:\\n    if 0 in c:ans=0\\n    for  i in range(1,n):\\n        if i%2:\\n            if i not in c or c[i]!=2:ans=0;break\\n        else:\\n            if i in c:ans=0;break\\nprint(ans)\", \"n = int(input())\\na = list(map(int, input().split()))\\nl = [0] * n\\nfor x in a:\\n    l[x] += 1\\nfor i in range(n):\\n    if l[i] > 2:\\n        print(0)\\n        return\\n    if l[i] > 0 and (i + n) % 2 == 0: \\n        print(0)\\n        return\\nif n % 2 == 1 and l[0] > 1:\\n    print(0)\\n    return\\nprint(pow(2, n // 2, 10 ** 9 + 7))\", \"n = int(input())\\na_list = sorted([int(x) for x in input().split()], reverse=True)\\nm = n\\nif m % 2 == 1:\\n    a_list.append(0)\\n    m += 1\\nfor i in range(0, m, 2):\\n    if not (a_list[i] == a_list[i + 1] == n - (i + 1)):\\n        print(0)\\n        return\\nprint(2 ** (n // 2) % (10 ** 9 + 7))\", \"n = int(input())\\na = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\nnum_map = [0] * ((n + 2 - 1) // 2)\\nfor i in range(n):\\n    num_map[a[i] // 2] += 1\\n\\nres = 2 - n % 2\\nif num_map[0] != 2 - n % 2:\\n    print((0))\\nelse:\\n    for i in range(1, (n + 2 - 1) // 2):\\n        if num_map[i] != 2:\\n            print((0))\\n            break\\n        else:\\n            res = res * 2 % mod\\n    else:\\n        print(res)\\n\", \"mod = 10**9+7\\nn = int(input())\\na = list(map(int,input().split()))\\nc_dic = dict()\\nif n%2 == 0:\\n  for num in a:\\n    if num%2 == 0 or n < num:\\n      print(0)\\n      return\\n    if num in c_dic:\\n      c_dic[num] += 1\\n      if c_dic[num] > 2:\\n        print(0)\\n        return\\n    else:\\n      c_dic[num] = 1\\n  print(pow(2,n//2,mod))\\nelse:\\n  for num in a:\\n    if num%2 == 1 or n < num:\\n      print(0)\\n      return\\n    if num in c_dic:\\n      c_dic[num] += 1\\n      if c_dic[num] > 2:\\n        print(0)\\n        return\\n    else:\\n      c_dic[num] = 1\\n  if c_dic[0] != 1:\\n    print(0)\\n    return\\n  print(pow(2,n//2,mod))\", \"import sys\\nfrom collections import Counter\\n\\nn = int(input())\\na = list(map(int, input().split()))\\na.sort()\\n\\nl = []\\n\\nfor i in range(n):\\n    li = abs(i - (n-1-i))\\n    l.append(li)\\n    \\nl.sort()\\n\\n\\nfor ai, li in zip(l,a):\\n    if ai != li:\\n        print((0))\\n        return\\n\\nd = Counter(l)\\nmod = 10 ** 9 + 7\\nans = 1\\n\\nfor li in d:\\n    for j in range(1,d[li]+1):\\n        ans *= j\\n        ans %= mod\\n\\nprint(ans)\\n\", \"n=int(input())\\na=[int(i) for i in input().split()]\\n\\ndef somosomo(a):\\n    ans=[]\\n    if n%2==1:\\n        ans.append(0)\\n        for i in range(1,n//2+1):\\n            ans.append(i*2)\\n            ans.append(i*2)\\n        b=sorted(a)\\n        if b==ans:\\n            return True\\n        return False\\n    else:\\n        for i in range(1,n//2+1):\\n            ans.append(i*2-1)\\n            ans.append(i*2-1)\\n        b=sorted(a)\\n        if b==ans:\\n            return True\\n        return False\\n\\ndef two_ride(n):\\n    ans=1\\n    for i in range(n):\\n        ans*=2\\n        ans%=10**9+7\\n    return ans\\n\\nif somosomo(a):\\n    print(two_ride(n//2))\\nelse:\\n    print(0)\", \"n=int(input())\\na=list(map(int,input().split()))\\nl=[0]*n\\nfor i in range(n):\\n    l[a[i]]+=1\\n#print(l)\\nif n%2==1:\\n    if l[0]!=1:\\n        print(0)\\n        return\\nans=1\\nfor i in range(n):\\n    if n%2==0:\\n        if i%2==0:\\n            if l[i]!=0:\\n                print(0)\\n                return\\n    else:\\n        if i%2==1:\\n            if l[i]!=0:\\n                print(0)\\n                return\\n    \\n    if l[i]==2:\\n        ans*=2\\n    elif l[i]>2:\\n        print(0)\\n        return\\n    ans%=(10**9 +7)\\nprint(ans)\", \"N = int(input())\\ncount = [0]*(N+1)\\nmodz = 10**9 + 7\\n\\ndef junretsu(a):\\n    if a <= 0: return 1\\n    if (a & 0x01) == 1:\\n        return 2*junretsu(a-1) % modz\\n    else:\\n        rr = junretsu(a>>1)\\n        return rr*rr % modz\\n\\npos = list(map(int, input().split()))\\nfor i in range(N):\\n    count[pos[i]] += 1\\n\\ndiff = [0]*(N+1)\\nfor i in range(1, N+1):\\n    d = abs((N - i) - (i-1))\\n    diff[d] += 1\\n\\ninvalid = False\\ntotal = 1\\nfor i in range(N):\\n    if count[i] != diff[i]:\\n        invalid = True\\n        break\\n\\nif invalid:\\n    print((0))\\nelse:\\n    print((junretsu(int(N/2))))\\n\", \"num = int(input())\\nt = [int(n) for n in input().split()]\\nt = sorted(t)\\n\\nvalid = True\\n\\nif num % 2 == 1: # odd\\n  check = list(range(0,num+1,2))[1:]\\n  \\n  valid1 = t[0] == 0\\n  valid2 = check == t[2::2] # even, skip first\\n  valid3 = check == t[1::2] # odd\\n  valid = valid1 and valid2 and valid3\\n  \\n  if not valid:\\n    print((0))\\n  else:\\n    ans = 2**((num-1)//2) % (10**9 + 7)\\n    print(ans)\\n  \\nelse: # even \\n  check = list(range(1,num,2))\\n  \\n  valid1 = True\\n  valid2 = check == t[::2] # even\\n  valid3 = check == t[1::2] # odd\\n  valid = valid1 and valid2 and valid3\\n  \\n  if not valid:\\n    print((0))\\n  else:\\n    ans = 2**((num)//2) % (10**9 + 7)\\n    print(ans)\\n\\n\\n  \\n\", \"N = int(input())\\nA = list(map(int,input().split()))\\n   \\nA.sort()\\n\\ncheck=[0]*N\\n\\nfor idx in range(N%2,N,2):\\n    check[idx]=idx+1\\n    check[idx+1]=idx+1\\n\\nans=0\\n\\nif check == A:\\n    if N % 2 == 0:\\n        ans=(2**(N//2))%(10**9+7)\\n    elif N % 2 != 0:\\n        ans=(2**((N-1)//2))%(10**9+7)\\n    \\nprint(ans)\\n\", \"n=int(input())\\nmod=10**9+7\\nA=list(map(int,input().split()))\\n\\nfrom collections import Counter\\nC=Counter(A)\\nif n%2==0:\\n    for i in range(1,n,2):\\n        if C.get(i) != 2:\\n            print(0);return\\nelse:\\n    if C.get(0) !=1:\\n        print(0);return\\n    for i in range(2,n,2):\\n        if C.get(i)!=2:\\n            print(0);return\\n\\nn//=2\\nprint(pow(2,n,mod))\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\n\\nif len(a)%2==1:\\n    tmp = [0]\\n    for i in range((len(a)-1)//2):\\n        tmp.append((i+1)*2)\\n        tmp.append((i+1)*2)\\n    if a == tmp:\\n        ans = (2**((len(a)-1)//2))%(10**9+7)\\n    else:\\n        ans = 0\\nelse:\\n    tmp = []\\n    for i in range(len(a)//2):\\n        tmp.append(2*i+1)\\n        tmp.append(2*i+1)\\n    if a == tmp:\\n        ans = (2**(len(a)//2))%(10**9+7)\\n    else:\\n        ans = 0\\nprint(ans)\", \"N = int(input())\\nAs = list(map(int, input().split()))\\n# \\u7d76\\u5bfe\\u5024\\u306e\\u5dee\\u306f\\u3001\\n# \\u5947\\u6570\\u306e\\u5834\\u5408\\u306fN+1\\u304b\\u30892\\u305a\\u3064\\u6e1b\\u3089\\u3057\\u3066\\u884c\\u3063\\u305f\\u5206\\u3057\\u304b\\u306a\\u3044\\u3002(N+1)/2\\n# \\u5076\\u6570\\u306e\\u5834\\u5408\\u306fN\\u304b\\u30892\\u305a\\u3064\\u6e1b\\u3089\\u3057\\u3066\\u884c\\u3063\\u305f\\u5206\\u3057\\u304b\\u306a\\u3044\\u3002N/2\\nnums = {}\\nexists = True\\nif N % 2 == 0:\\n    for A in As:\\n        if A in nums:\\n            nums[A] += 1\\n        else:\\n            nums[A] = 1\\n    for key, value in list(nums.items()):\\n        if key == 0:\\n            exists = False\\n        if value != 2:\\n            exists = False\\n\\nelse:\\n    for A in As:\\n        if A in nums:\\n            nums[A] += 1\\n        else:\\n            nums[A] = 1\\n    for key, value in list(nums.items()):\\n        if key == 0:\\n            if value != 1:\\n                exists = False\\n        else:\\n            if value != 2:\\n                exists = False\\nif not exists:\\n    print((0))\\nelse:\\n    ans = 1\\n    if N % 2 == 0:\\n        for i in range(int(N / 2)):\\n            ans = ans * 2\\n            ans %= 10**9 + 7\\n    else:\\n        for i in range(int((N - 1) / 2)):\\n            ans = ans * 2\\n            ans %= 10**9 + 7\\n            # \\u7d76\\u5bfe\\u5024\\u306e\\u5dee\\u306f0\\u306e\\u6642\\u306f1\\u4eba\\u3060\\u3051\\u3002\\u305d\\u306e\\u307b\\u304b\\u306f2\\u4eba\\u3060\\u3051\\u3002\\u3053\\u308c\\u304c\\u6e80\\u305f\\u305b\\u308b\\u306a\\u3089\\n            # (\\u5076\\u6570)2**(N+1/2)\\n            # (\\u5947\\u6570)2**(N/2)\\n    print(ans)\\n\", \"from collections import Counter\\n\\n\\ndef mod_pow(a, n, mod):\\n    \\\"\\\"\\\"\\n    \\u4e8c\\u5206\\u7d2f\\u4e57\\u6cd5\\u306b\\u3088\\u308b a^n (mod m)\\u306e\\u5b9f\\u88c5\\n    :param a: \\u7d2f\\u4e57\\u306e\\u5e95\\n    :param n: \\u7d2f\\u4e57\\u306e\\u6307\\u6570\\n    :param mod: \\u6cd5\\n    :return: a^n (mod m)\\n    \\\"\\\"\\\"\\n\\n    result = 1\\n    a_n = a\\n    while n > 0:\\n        if n & 1:\\n            result = result * a_n % mod\\n        a_n = a_n * a_n % mod\\n        n >>= 1\\n    return result\\n\\n\\nN = int(input())\\nA = Counter(tuple(map(int, input().split(' '))))\\nMOD = 10 ** 9 + 7\\n\\nif A[0] > 1:\\n    print((0))\\nelif sum([key for key, value in list(A.items()) if value == 1]) != 0:\\n    print((0))\\nelse:\\n    print((mod_pow(2, N // 2, MOD)))\\n\", \"N = int(input())\\nA = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nA = sorted(A)\\nans = 1\\nif N % 2 == 0:#[1,1,3,3,5,5,...]\\n  for i in range(N):\\n    xx = int(i / 2)\\n    if A[i] != 2 * xx + 1:\\n      ans = 0\\n    else:\\n      if i % 2 == 1:\\n        ans *= 2\\n        ans %= mod\\nelse:#[0, 2, 2, 4, 4 ...]\\n  for i in range(N):\\n    xx = int((i + 1)/2)\\n    if A[i] != 2 * xx:\\n      ans = 0\\n    else:\\n      if (i % 2 == 0) and (i != 0):\\n        ans *= 2\\n        ans %= mod\\n      \\n      \\n  \\n  \\nprint(ans)\\n\\n\", \"n = int(input())\\na = list(map(int, input().split()))\\na.sort()\\nres = True\\nanse = list(i for i in range(1, n, 2))\\nanso = list(i for i in range(2, n, 2))\\nif n % 2 != 0:\\n  if a[0] != 0:\\n    res = False\\n    print(0)\\n  a = a[1:]\\n  for i in range(0, len(a), 2):\\n    if a[i] != anso[i//2] or a[i+1] != anso[i//2]:\\n        print(0)\\n        res = False\\n        break\\n\\n\\nif n % 2 == 0:\\n    for i in range(0, len(a), 2):\\n        if a[i] != anse[i//2] or a[i+1] != anse[i//2]:\\n            print(0)\\n            res = False\\n            break\\n\\np = 10**9 + 7\\nif res:\\n  print(pow(2, n//2, p))\", \"n=int(input())\\nl=list(map(int,input().split()))\\nmod=10**9+7\\nif n%2==0:\\n    d={i:2 for i in range(1,n,2)}\\nelse:\\n    d={i:2 for i in range(0,n,2)}\\n    d[0]=1\\nfor a in l:\\n    if a in d:\\n        d[a]-=1\\n    else:\\n        print((0))\\n        return\\nfor i in list(d.values()):\\n    if i!=0:\\n        print((0))\\n        return\\nprint(((2**(n//2))%mod))\\n\", \"from collections import Counter\\n\\nn = int(input())\\nA = list(map(int, input().split()))\\ncnt_A = Counter(A)\\n\\nif not all([v == 2 for k, v in cnt_A.items() if k != 0]):\\n    print(0)\\nelse:\\n    print(pow(2, n // 2, 10**9 + 7))\", \"N = int(input())\\nA = list(map(int, input().split()))\\n\\nans = 0\\nA_test = sorted(list(set(A)))\\n\\nif N % 2 == 1:\\n    judge = [i for i in range(0,N,2)]\\n    if (A_test == judge) and (A.count(0) == 1):\\n        ans = 2**(N//2)\\nelse:\\n    judge = [i for i in range(1,N,2)]\\n    if A_test == judge:\\n        ans = 2**(N//2)\\n\\nans = ans % (10**9 + 7)\\nprint(ans)\\n\", \"import sys\\nfrom collections import Counter\\nN = int(input())\\nA = list(map(int, input().split()))\\nMOD = 10 ** 9 + 7\\n\\nC = Counter(A)\\nC = sorted(C.items(), key=lambda x: x[0])\\nif N % 2 == 0:\\n    s = 1\\n    for k, v in C:\\n        if k != s or v != 2:\\n            print(0)\\n            return\\n        s += 2\\n    print(pow(2, (N // 2), MOD))\\nelse:\\n    s = 0\\n    for k, v in C:\\n        if k == 0:\\n            if k != 0 or v != 1:\\n                print(0)\\n                return\\n            s += 2\\n            continue\\n        if k != s or v != 2:\\n            print(0)\\n            return\\n        s += 2\\n    print(pow(2, (N - 1) // 2, MOD))\", \"from collections import Counter\\nn=int(input())\\na=sorted(list(map(int,input().split())))\\na_count=Counter(a)\\nif n%2==1:\\n    ans=1\\n    for i in a_count:\\n        if i%2!=0:\\n            print(0)\\n            break\\n        else:\\n            if i==0:\\n                if a_count[i]!=1:\\n                    print(0)\\n                    break\\n            \\n            else:\\n                if a_count[i]==2:\\n                     ans=(ans*2)%(10**9+7)\\n                else:\\n                    print(0)\\n                    break\\n    else:\\n      print(ans)\\nelse:\\n    ans=1\\n    for j in a_count:\\n        if j%2!=1:\\n            print(0)\\n            break\\n        else:\\n            if a_count[j]==2:\\n                ans=(ans*2)%(10**9+7)\\n           \\n            else:\\n                print(0)\\n                break\\n    else:\\n      print(ans)\", \"n = int(input())\\na = list(map(int, input().split()))\\nflg = 0\\n\\na.sort()\\nif n % 2 == 0:\\n  if a[0] == 1 and a[1] == 1:\\n    for i in range(2, n, 2):\\n      if a[i] == a[i + 1] and a[i - 1] + 2 == a[i]:\\n        continue\\n      else:\\n        flg = 1\\n        break\\n  else:\\n    flg = 1\\nelse:\\n  if a[0] == 0:\\n    for i in range(1, n, 2):\\n      if a[i] == a[i + 1] and a[i - 1] + 2 == a[i]:\\n        continue\\n      else:\\n        flg = 1\\n        break\\n  else:\\n    flg = 1\\n\\nif flg == 1:\\n  print(0)\\nelse:\\n  print((2 ** (n // 2)) % (10 ** 9 + 7))\", \"n=int(input())\\nl=list(map(int,input().split()))\\nmod=10**9+7\\nif n%2==0:\\n    d={i:2 for i in range(1,n,2)}\\nelse:\\n    d={i:2 for i in range(0,n,2)}\\n    d[0]=1\\nfor a in l:\\n    if a in d:\\n        d[a]-=1\\n    else:\\n        print(0)\\n        return\\nfor i in d.values():\\n    if i!=0:\\n        print(0)\\n        return\\nprint((2**(n//2))%mod)\", \"def main():\\n  N = int(input())\\n  A = [int(a) for a in input().split(\\\" \\\")]\\n  A.sort()\\n \\n  if N % 2 == 1 and A.count(0) != 1:\\n    print(0)\\n    return 0\\n  elif N % 2 == 0 and A.count(0) > 0:\\n    print(0)\\n    return 0\\n  \\n  if N % 2 == 1:\\n    A.pop(0)\\n  \\n  cnt = 0\\n  while len(A) > 0:\\n    if A[0] != A[1] or (len(A) > 2 and A[0] == A[1] and A[1] == A[2]):\\n      print(0)\\n      return 0\\n    elif A[0] == A[1] == 2 * cnt + (N % 2) + 1:\\n      cnt += 1\\n      A.pop(0)\\n      A.pop(0)\\n    else:\\n      print(0)\\n      return 0\\n \\n  ans = 1\\n  for p in range(cnt):\\n    ans = (ans * 2) % 1000000007\\n  print(ans)\\n\\nmain()\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\n\\nif n == 1:\\n  print(1)\\n  return\\nelif n%2 == 0:\\n  for i in range(0,n-2,2):\\n    if a[i] != a[i+1] or a[i] == a[i+2]:\\n      print(0)\\n      return\\n  if a[-2] != a[-1]:\\n    print(0)\\n    return\\nelse:\\n  if a[0] != 0 or a[1] == 0:\\n    print(0)\\n    return\\n  for i in range(1,n-2,2):\\n    if a[i] != a[i+1] or a[i] == a[i+2]:\\n      print(0)\\n      return\\n  if a[-2] != a[-1]:\\n    print(0)\\n    return\\n\\nmod = 10**9+7\\nif n%2 == 0: print(2**(n//2)%mod)\\nelse: print(2**((n-1)//2)%mod)\", \"N = int(input())\\nA = list(map(int, input().split()))\\nmod = pow(10,9)+7\\nA.sort()\\n\\nif N%2 == 0:\\n    for i in range(N//2):\\n        if A[2*i] != A[2*i+1] or A[2*i] != 2*i+1:\\n            print((0))\\n            return\\n    ans = pow(2,N//2)\\n    print((ans%mod))\\nelse:\\n    if A[0] != 0:\\n        print((0))\\n        return\\n    for i in range(N//2):\\n        if A[2*i+1] != A[2*(i+1)] or A[2*i+1] != 2*(i+1):\\n            print((0))\\n            return\\n    ans = pow(2,N//2)\\n    print((ans%mod))\\n\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n \\na=True\\nif N%2==0:\\n for i in range(1,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    a=False\\n    break\\nelse:\\n if A[0]!=0:a=False\\n else:\\n    for i in range(2,N,2):\\n     if A[i-1]!=i or A[i]!=i:\\n        a=False\\n        break\\nprint(2**(N//2)%(10**9+7) if a else 0)\", \"from collections import Counter\\n\\nN = int(input())\\nA = list(map(int, input().split()))\\nMOD = int(1e9) + 7\\n\\n# \\u5076\\u6570\\u306e\\u5834\\u5408\\nif N % 2 == 0:\\n    c = Counter(A)\\n    if all(i == 2 for i in c.values()):\\n        print(pow(2, N//2, MOD))\\n    else:\\n        print(0)\\n# \\u5947\\u6570\\u306e\\u5834\\u5408\\nelse:\\n    A.sort()\\n    A = A[1:]\\n    c = Counter(A)\\n    if all(i == 2 for i in c.values()):\\n        print(pow(2, N//2, MOD))\\n    else:\\n        print(0)\", \"N = int(input())\\na = list(map(int, input().split()))\\nSum = 1\\nmod = 1000000007\\n\\na.sort()\\ndata = []\\nif N % 2 == 0:\\n    for i in range(int(N / 2)):\\n        data.append(1 + i * 2)\\n        data.append(1 + i * 2)\\nelse:\\n    data.append(0)\\n    for i in range(1, N // 2 + 1):\\n        data.append(i * 2)\\n        data.append(i * 2)\\n\\nif a == data:\\n    for i in range(N // 2):\\n        Sum *= 2\\n        Sum %= mod\\n    print(Sum)\\nelse:\\n    print((0))\\n\", \"N=int(input())\\nA=list(map(int,input().split()))\\n\\nA.sort()\\ncheck=[0]*N\\n\\nfor idx in range(N%2,N,2):\\n    check[idx]=idx+1\\n    check[idx+1]=idx+1\\n\\nans=0\\nmod=10**9+7\\nif check==A:\\n    if N%2==0:\\n        ans=(2**(N//2))%mod\\n    else:\\n        ans=(2**((N-1)//2))%mod\\nprint(ans)\", \"n = int(input())\\na = list(map(int, input().split()))\\n\\nfrom collections import Counter\\nc = Counter(a)\\n\\ncheck_ary = []\\nif n&1:\\n    check_ary.append(0)\\n\\nfor i in range(n//2):\\n    for _ in range(2):\\n        check_ary.append((i+1)*2 if n&1 else i*2+1)\\n\\nc2 = Counter(check_ary)\\n\\nif c != c2:\\n    print(0)\\n    return\\n\\nprint(pow(2, n//2, 10**9+7))\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN = int(input())\\nA = list(map(int, input().split()))\\n\\nB = [0] * N\\n\\nfor a in A:\\n    B[a] += 1\\n\\nok = True\\n\\nif N % 2 == 1:\\n    ok = ok and B[0] == 1\\n    for i in range(1, N):\\n        ok = ok and B[i] == (2 if i % 2 == 0 else 0)\\nelse:\\n    for i in range(N):\\n        ok = ok and B[i] == (0 if i % 2 == 0 else 2)\\n\\nans = 1\\nMOD = int(1e9) + 7\\nfor _ in range(N // 2):\\n    ans *= 2\\n    ans %= MOD\\n\\nprint((ans if ok else 0))\\n\", \"n=int(input())\\nA=list(map(int,input().split()))\\nA.sort()\\njudge=0\\nif n%2==1:\\n    for i in range(n):\\n        if A[i]!=2*((i+1)//2):\\n            judge+=1\\n            break\\nelse:\\n    for i in range(n):\\n        if A[i]!=2*(i//2)+1:\\n            judge+=1\\n            break\\nif judge==1:\\n    print(0)\\nelse:\\n    print((2**(n//2))%(10**9+7))\", \"from collections import Counter\\nn = int(input())\\na = list(map(int, input().split()))\\nc = Counter(a)\\nd = list(c.values())\\nif (n % 2 == 1 and c[0] == 1 and d.count(2) == (n-1)//2) or (n % 2 == 0 and d.count(2) == n//2):\\n    print(pow(2, n//2, 10**9+7))\\nelse:\\n    print(0)\", \"from collections import Counter\\nn = int(input())\\na = list(map(int, input().split()))\\nc = Counter(a)\\nd = list(c.values())\\nif (n % 2 == 1 and c[0] == 1 and d.count(2) == (n-1)//2) or (n % 2 == 0 and d.count(2) == n//2):\\n    print((2**(n//2)) % (10**9+7))\\nelse:\\n    print(0)\", \"N = int(input())\\nK = [0 for i in range(N+1)]\\nA = list(map(int,input().rstrip().split(\\\" \\\")))\\nans = 1\\nfor i in A:\\n    K[i] += 1\\nfor i in range(N):\\n    if i != 0 and K[i] != 0 and K[i] != 2:\\n        ans = 0\\n        break\\n    if K[i] == 2:\\n        ans *= 2\\n        ans %= 10 ** 9 + 7\\nprint(ans)\", \"import collections\\n\\nn = int(input())\\na = list(map(int, input().split()))\\ncnt = collections.Counter(a)\\nmod = 7 + 10**9\\nif n % 2 == 0:\\n    for i in range(1, 1 + n // 2):\\n        if (i * 2 - 1) not in cnt.keys() or cnt[i * 2 - 1] != 2:\\n            print(0)\\n            return\\n\\nelse:\\n    if 0 not in cnt.keys() or cnt[0] != 1:\\n        print(0)\\n        return\\n    for i in range(1, 1 + n // 2):\\n        if i * 2 not in cnt.keys() or cnt[i * 2] != 2:\\n            print(0)\\n            return\\nprint(2 ** (n // 2) % mod)\", \"n = int(input())\\na = list(map(int, input().split()))\\n\\n\\na = sorted(a)\\n\\nnum = 0\\njudge = 0\\n\\nif len(a)%2 == 1:\\n    if a[0] == 0:\\n        for i in range(1, n, 2):\\n            if a[i] == i+1 and a[i+1] == i+1:\\n                num += 1\\n            else:\\n                print(0)\\n                judge = 1\\n                break\\n    else:\\n        print(0)\\n        judge=1\\nelse:\\n    for i in range(0, n, 2):\\n            if a[i] == i+1 and a[i+1] == i+1:\\n                num += 1\\n            else:\\n                print(0)\\n                judge = 1\\n                break\\n        \\nif judge == 0:\\n    result = (2**num)%(10**9+7)\\n    print(result)\", \"from collections import defaultdict\\nN = int(input())\\nA = list(map(int, input().split()))\\n\\nL = A[:]\\nL = list(set(L))\\n\\nmod = 10 ** 9 + 7\\n\\nd = defaultdict(int)\\nfor i in range(N):\\n    d[A[i]] += 1\\n\\nif N % 2 == 1:\\n    bfr = 0\\n    for i in L:\\n        if i - bfr != 2 and i != 0:\\n            print((0))\\n            return\\n\\n        if i == 0:\\n            if d[i] != 1:\\n                print((0))\\n                return\\n            else:\\n                continue\\n        if d[i] != 2:\\n            print((0))\\n            return\\n        bfr = i\\n\\n    print(((2 ** (N // 2)) % mod))\\nelse:\\n    bfr = 1\\n    for i in L:\\n        if i - bfr != 2 and i != 1:\\n            print((0))\\n            return\\n\\n        if d[i] != 2:\\n            print((0))\\n            return\\n        bfr = i\\n\\n    print(((2 ** (N // 2)) % mod))\\n\", \"n = int(input())\\na = list(map(int,input().split()))\\nmod = 10**9+7\\n\\na.sort()\\n\\nif n%2 == 1: \\n    if a[0] != 0:\\n        print((0))\\n        return\\n    else:\\n        a.remove(0)\\n        tmp = 2\\nelse:\\n    tmp = 1\\n\\nfor i in range(n//2):\\n    if tmp == a[0] and tmp == a[1]:\\n        a.remove(tmp)\\n        a.remove(tmp)\\n    else:\\n        print((0))\\n        return\\n    tmp += 2\\n\\nif len(a) == 0:\\n    print(((2**(n//2))%mod))\\nelse:\\n    print((0))\\n\\n\\n\", \"n = int(input())\\na = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\nnum_map = [0] * ((n + 2 - 1) // 2)\\nfor i in range(n):\\n    num_map[a[i] // 2] += 1\\n\\nres = 1\\nif n % 2 == 1:\\n    if num_map[0] != 1:\\n        print((0))\\n    else:\\n        for i in range(1, (n + 2 - 1) // 2):\\n            if num_map[i] != 2:\\n                print((0))\\n                break\\n            else:\\n                res = res * 2 % mod\\n        else:\\n            print(res)\\nelse:\\n    for i in range((n + 2 - 1) // 2):\\n        if num_map[i] != 2:\\n            print((0))\\n            break\\n        else:\\n            res = res * 2 % mod\\n    else:\\n        print(res)\\n\", \"N=int(input())\\nA=list(map(int,input().split()))\\nmod = 10**9+7\\n\\nA=tuple(sorted(A))\\n\\nif N % 2 == 1:\\n  nums=[0]\\n  for i in range(2,N+1,2):\\n    nums.append(i)\\n    nums.append(i)\\nelse:\\n  nums=[]\\n  for i in range(1,N+1,2):\\n    nums.append(i)\\n    nums.append(i)\\n    \\nnums = tuple(nums)\\nif A != nums:\\n  print(0)\\n  return\\n  \\nprint(2**(N//2) % mod)\", \"N = int(input())\\nA = list(map(int,input().split()))\\nA.sort()\\nmod = 10**9 + 7\\nif N%2 == 0:\\n    for i in range(N):\\n        if A[i] != 1+(i//2)*2:\\n            print(0)\\n            break\\n    else:\\n        print(pow(2,N//2,mod))\\nelse:\\n    if A[0] == 0:\\n        for i in range(1,N):\\n            if A[i] != ((i+1)//2)*2:\\n                print(0)\\n                break\\n        else:\\n            print(pow(2,N//2,mod))\", \"n = int(input())\\na = list(map(int,input().split()))\\nmod = 10**9 + 7\\n\\nd = [0]*(n+1)\\nfor x in a:\\n    d[x] += 1\\nans = 1\\nif n%2 == 0:\\n    sw = 1\\n    for i,x in enumerate(d):\\n        if i%2 != 0:\\n            if x == 2:\\n                ans *= 2\\n                ans %= mod\\n            else:\\n                sw = 0\\n                break\\n        else:\\n            if x != 0:\\n                sw = 0\\n                break\\nelse:\\n    sw = 1\\n    for i,x in enumerate(d):\\n        if i%2 == 0:\\n            if i == 0:\\n                if x != 1:\\n                    sw = 0\\n                    break\\n            else:\\n                if x == 2:\\n                    ans *= 2\\n                    ans %= mod\\n                else:\\n                    sw = 0\\n                    break\\n        else:\\n            if x != 0:\\n                sw = 0\\n                break\\nif sw == 0:\\n    ans = 0\\nprint(ans)\\n\", \"N = int(input())\\nA = sorted(list(map(int,input().split())))\\n\\nif N%2==0:\\n  B = [1+2*(n//2) for n in range(N)]\\nelse:\\n  B = [2*(n//2) for n in range(1,1+N)]\\n\\nif A==B:\\n  print(pow(2,N//2,10**9+7))\\nelse:\\n  print(0)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\nMOD = 10 ** 9 + 7\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N = I()\\n    A = LI()\\n\\n    if N % 2 == 0:\\n        if sorted(A) == [i // 2 * 2 + 1 for i in range(N)]:\\n            print((pow(2, N // 2, MOD)))\\n        else:\\n            print((0))\\n    else:\\n        if sorted(A) == [(i // 2 + 1) * 2 for i in range(-1, N - 1)]:\\n            print((pow(2, (N - 1) // 2, MOD)))\\n        else:\\n            print((0))\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"def PowerMod(N,P,Mod):\\n    if N%Mod==0:\\n        return 0\\n    else:\\n        PowM = 1\\n        for TP in range(1,P+1):\\n            PowM = (PowM*N)%Mod\\n        return PowM\\n\\nfrom collections import Counter\\nN = int(input())\\nA = sorted(Counter([int(T) for T in input().split()]).most_common(),key=lambda X:X[0])\\nPassFlag = True\\nif N%2==1:\\n    for TA in range(0,(N+1)//2):\\n        if A[TA][0]!=(2*TA) or A[TA][1]!=(1+(A[TA][0]!=0)):\\n            PassFlag = False\\n            break\\n    print([0,PowerMod(2,(N-1)//2,10**9+7)][PassFlag])\\nelse:\\n    for TA in range(0,N//2):\\n        if A[TA][0]!=(2*TA+1) or A[TA][1]!=2:\\n            PassFlag = False\\n            break\\n    print([0,PowerMod(2,N//2,10**9+7)][PassFlag])\", \"from collections import Counter\\n\\nn = int(input())\\nc = Counter(list(map(int, input().split())))\\n\\nans = 0\\nfor k, v in list(c.items()):\\n    if k == 0:\\n        if n%2==0 and v > 2:\\n            print((0))\\n            return\\n        elif n%2==1 and v > 1:\\n            print((0))\\n            return\\n    else:\\n        ans += 1\\n        if v > 2:\\n            print((0))\\n            return\\n\\nprint((pow(2, ans, 10**9+7)))\\n\", \"from typing import Counter\\n\\n\\nn = int(input())\\nlis = list(map(int, input().split()))\\nmod  =10**9+7\\n\\nans = 0\\nif n % 2 == 0:\\n    b = Counter(lis)\\n    flag = 1\\n    for i in list(b.values()):\\n        if i == 2:\\n            pass\\n        else:\\n            flag = 0\\n            break\\n    if flag:\\n        ans = 2**(n//2)\\n        print((ans % mod))\\n    else:\\n        print((0))\\nelse:\\n    lis = sorted(lis)\\n    lis = lis[1:]\\n    b = Counter(lis)\\n    flag = 1\\n    for i in list(b.values()):\\n        if i == 2:\\n            pass\\n        else:\\n            flag = 0\\n            break\\n    if flag:\\n        ans = 2**(n//2)\\n        print((ans % mod))\\n    else:\\n        print((0))\\n\", \"n=int(input())\\na=list(map(int,input().split()))\\nflag=0\\nA=a.sort()\\nnum=[]\\n\\nif n%2==0:\\n    for i in range(1,n,2):\\n        num.append(i)\\n        num.append(i)\\n\\nif n%2==1:\\n    num=[0]\\n    for i in range(2,n,2):\\n        num.append(i)\\n        num.append(i)\\n\\nif num==a:\\n    print(2**(n//2)%(10**9+7))\\n\\nelse:\\n    print(\\\"0\\\")\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\nf=lambda:2**(N//2)%(10**9+7)\\na=True\\nif N%2==0:\\n    for i in range(1,N,2):\\n        if A[i-1]!=i or A[i]!=i:\\n            # print(i,A[i-1],A[i])\\n            a=False\\n            break\\nelse:\\n    if A[0]!=0:\\n            a=False\\n    else:\\n        for i in range(2,N,2):\\n            if A[i-1]!=i or A[i]!=i:\\n                # print(i,A[i-1],A[i])\\n                a=False\\n                break\\nprint(f() if a else 0)\", \"n = int(input())\\nA = list(map(int, input().split()))\\n\\nd = {}\\nfor a in A:\\n    d[a] = d.get(a, 0)+1\\n\\nzero_cnt = 0\\ntwo = 0\\nno = 0\\nfor i in d:\\n    if i==0:\\n        zero_cnt+=1\\n    elif d[i]==2:\\n        two+=1\\n    else:\\n        no+=1\\n\\nif no!=0 or (n%2==0 and zero_cnt!=0) or (n%2==1 and zero_cnt!=1):\\n    print((0))\\nelse:\\n    ans = 1\\n    mod = 10**9+7\\n    for i in range(two):\\n        ans *= 2\\n        ans %= mod\\n    print((ans%mod))\\n\", \"MOD = 10 ** 9 + 7\\nnum = [0] * (10 ** 5 + 1)\\nN = int(input())\\nA = list(map(int,input().split()))\\nfor i in range(len(A)):\\n\\tnum[A[i]] += 1\\nif N % 2 == 1:\\n\\tfor i in range(0,N,2):\\n\\t\\tcnt = num[i]\\n\\t\\tif i == 0:\\n\\t\\t\\tif cnt != 1:\\n\\t\\t\\t\\tprint(0)\\n\\t\\t\\t\\treturn\\n\\t\\telse:\\n\\t\\t\\tif cnt != 2:\\n\\t\\t\\t\\tprint(0)\\n\\t\\t\\t\\treturn\\n\\tprint(2 ** (N // 2) % MOD)\\nelse:\\n\\tfor i in range(1,N,2):\\n\\t\\tcnt = num[i]\\n\\t\\tif cnt != 2:\\n\\t\\t\\tprint(0)\\n\\t\\t\\treturn\\n\\tprint(2 ** (N // 2) % MOD)\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\ndef f(x):\\n for i in range(x,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    return False\\n return True   \\n    \\na=True\\nif N%2==0:a=f(1)\\nelse:\\n if A[0]!=0:a=False\\n else:a=f(2)\\nprint(2**(N//2)%(10**9+7) if a else 0)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, *A = list(map(int, read().split()))\\n\\n    A.sort()\\n\\n    ok = True\\n    if len(A) % 2 == 0:\\n        for i in range(N // 2):\\n            if not A[2 * i] == A[2 * i + 1] == 2 * i + 1:\\n                ok = False\\n                break\\n    else:\\n        if A[0] != 0:\\n            ok = False\\n        else:\\n            for i in range(N // 2):\\n                if not A[2 * i + 1] == A[2 * i + 2] == 2 * i + 2:\\n                    ok = False\\n                    break\\n\\n    if ok:\\n        ans = pow(2, N // 2, MOD)\\n    else:\\n        ans = 0\\n\\n    print(ans)\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nA = list(map(int, input().split()))\\n\\nm = 1000000007\\n\\nA.sort()\\nif N % 2 == 0:\\n    B = list(range(1, N, 2)) * 2\\nelse:\\n    B = [0] + list(range(2, N, 2)) * 2\\nB.sort()\\n\\nif A != B:\\n    print((0))\\nelse:\\n    result = 1\\n    for i in range(N // 2):\\n        result *= 2\\n        result %= m\\n    print(result)\\n\", \"N = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfrom collections import defaultdict as dd\\nDict = dd(lambda:0)\\nfor a in A:\\n    Dict[a] += 1\\n\\nif N & 1: Dict[0] += 1\\nf = (lambda:(lambda x:0 if x&1 else 2) if N&1 else (lambda x:2 if x&1 else 0))()\\nPossible = {i:f(i) for i in range(N)}\\nfor key,value in list(Dict.items()):\\n    if value != Possible[key]:\\n        print((0))\\n        return\\nelse:\\n    print((2**(N//2)%1000000007))\\n                \\n\\n\", \"import sys\\n\\n# n = 10 ** 5\\n# \\u30c7\\u30fc\\u30bf\\u8aad\\u307f\\u8fbc\\u307f\\u95a2\\u4fc2\\nn = int(input())\\n\\na = list(map(int, input().split(' ')))\\n\\nrecord = {}\\n\\npossible = True\\n\\n# \\u72b6\\u6cc1\\u304c\\u5b9f\\u73fe\\u53ef\\u80fd\\u304b\\u78ba\\u8a8d\\nfor e in a:\\n    if(e in record.keys()):\\n        record[e] += 1\\n        if(record[e] == 2):\\n            if(e == 0):\\n                possible = False\\n                break\\n        if(record[e] == 3):\\n            possible = False\\n            break\\n    else:\\n        record[e] = 1\\n\\nif(possible == False):\\n    print(0)\\n    return\\n\\nmultiCount = int(n / 2)\\n\\nprint(2 ** multiCount % (10 ** 9 + 7))\", \"import collections\\nN = int(input())\\nA = list(map(int,input().split()))\\nans = 1\\nif 0 in A:\\n    A.remove(0)\\nAcounter = collections.Counter(A)\\nfor i in Acounter.values():\\n    if i == 2:\\n        continue\\n    else:\\n        ans = 0\\n        break\\nif ans == 0:\\n    pass\\nif ans != 0:\\n    for i in range(N//2):\\n        ans = (ans * 2) % (10**9 + 7)\\nprint(ans)\", \"import sys\\nsys.setrecursionlimit(10 ** 7)\\ndef input() : return sys.stdin.readline().strip()\\ndef INT()   : return int(input())\\ndef MAP()   : return map(int,input().split())\\ndef LIST()  : return list(MAP())\\ndef NIJIGEN(H): return [list(input()) for i in range(H)]\\nmod=1000000007\\nN=INT()\\nL=LIST()\\nif N%2==0:\\n  A=range(1,N,2)\\n  B=range(1,N,2)\\nelse:\\n  A=range(0,N,2)\\n  B=range(2,N,2)\\nA,B=list(A),list(B)\\nA=A+B\\nif sorted(A)==sorted(L):\\n  print(pow(2,N//2,mod))\\nelse:\\n  print(0)\", \"n=int(input())\\na=list(map(int,input().split()))\\n\\nb=[0 for i in range(10**5+1)]\\nfor i in a:\\n  b[i]+=1\\n\\nif (n%2==0 and b[0]!=0) or (n%2==1 and b[0]!=1):\\n  print(0)\\n  return\\n\\nans=1\\nmod=10**9+7\\nfor i in b:\\n  if i==2:\\n    ans*=2\\n    ans%=mod\\n  if i>=3:\\n    print(0)\\n    return\\n\\nprint(ans)\", \"from collections import Counter\\n\\nn=int(input())\\na=list(map(int,input().split()))\\n\\nc=Counter(a)\\n\\nif (n%2==0 and c[0]!=0) or (n%2==1 and c[0]!=1):\\n  print(0)\\n  return\\n\\nans=1\\nmod=10**9+7\\nfor i in c:\\n  if c[i]==2:\\n    ans*=2\\n    ans%=mod\\n  if c[i]>=3:\\n    print(0)\\n    return\\n\\nprint(ans)\", \"from collections import Counter\\n\\nN = int(input())\\nabs_diffs = list(map(int, input().split()))\\n\\nif N % 2 == 0:\\n    expected = [i // 2 * 2  + 1 for i in range(N)]\\n    dims = N // 2\\nelse:\\n    expected = [(i + 1) // 2 * 2 for i in range(N)]\\n    dims = (N - 1) // 2\\n\\nif sorted(abs_diffs) == expected:\\n    print((2 ** dims % (10 ** 9 + 7)))\\n\\nelse:\\n    print((0))\\n\", \"n = int(input())\\nA = sorted(map(int,input().split()))\\n\\nif n % 2 == 1:\\n    ex = [0]\\n    \\n    for i in range(n//2):\\n        a = 2 * (i+1)\\n        ex += [a,a]\\n        \\nelse:\\n    ex = []\\n    a = 1\\n    \\n    for i in range(n//2):\\n        ex += [a,a]\\n        a += 2\\n        \\nans = 0\\n\\nif A == ex:\\n    ans = 2 ** (n//2) % (10**9 + 7)\\n    \\nprint(ans)\", \"n = int(input())\\na = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\nif n % 2 == 0:\\n    b = [2 if i % 2 == 1 else 0 for i in range(n)]\\nelse:\\n    b = [2 if i % 2 == 0 else 0 for i in range(n)]\\n    b[0] = 1\\nc = [0 for i in range(n)]\\nfor i in range(n):\\n    c[a[i]] += 1\\nif b != c:\\n    print(0)\\nelse:\\n    ans = 1\\n    for i in range(n // 2):\\n        ans *= 2\\n        ans %= mod\\n    print(ans)\", \"N = int(input())\\nA = sorted(list(map(int,input().split())))\\n\\nif N%2==0:\\n  B = [2*(n//2)+1 for n in range(N)]\\nelse:\\n  B = [2*(n//2) for n in range(1,N+1)]\\n\\nif A==B:\\n  print(pow(2,N//2,10**9+7))\\nelse:\\n  print(0)\", \"MOD = 10**9+7\\n\\ndef fast_pow(x, n, MOD):\\n    res = 1\\n    while n:\\n        if n & 1:\\n            res = res * x % MOD\\n        x = x * x % MOD\\n        n >>= 1\\n    return res\\n\\n\\nn = int(input())\\na = list(map(int, input().split()))\\n\\nd = {}\\nfor i in a:\\n    if n % 2:\\n        if i > 0 and i % 2:\\n            print((0))\\n            return\\n    else:\\n        if i > 0 and i % 2 == 0:\\n            print((0))\\n            return\\n\\n    if not i in d:\\n        d[i] = 1\\n    elif d[i] == 1:\\n        d[i] += 1\\n    else:\\n        print((0))\\n        return\\n\\nif n % 2:\\n    if d[0] != 1:\\n        print((0))\\n        return\\n    print((fast_pow(2, len(d)-1, MOD)))\\nelse:\\n    if 0 in d:\\n        print((0))\\n        return\\n    print((fast_pow(2, len(d), MOD)))\\n\", \"import math\\nN = int(input())\\nA = list(map(int, input().split()))\\n\\nflag = True\\nif N%2 == 0:\\n    if 0 in A or len(set(A)) != N//2:\\n        flag = False\\nelse:\\n    if len([0 for a in A if a == 0]) != 1 or len(set(A)) != N//2 + 1:\\n        flag = False\\n\\nif  flag:\\n    print((2**((N//2))%(10**9+7)))\\nelse:\\n    print((0))\\n\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\ndef f(x):\\n for i in range(x,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    return 0\\n return 1   \\n    \\na=1\\nif N%2==0:a=f(1)\\nelse: a=A[0]==0 and f(2)\\nprint(2**(N//2)%(10**9+7)*a)\", \"n = int(input())\\nA = tuple(map(int, input().split()))\\nmod = 10**9+7\\n\\nniseven = (n%2 == 0)\\n\\ncd = dict()\\nfor a in (A):\\n    cd.setdefault(a, 0)\\n    cd[a] += 1\\n    if a == 0 and cd[a] > 1:\\n        print((0))\\n        break\\n    if a > 0 and cd[a] > 2:\\n        print((0))\\n        break\\n    if (a%2==0) == niseven:\\n        print((0))\\n        break\\nelse:\\n    print((pow(2, n//2, mod)))\\n\", \"def main():\\n  N=int(input())\\n  A=list(map(int,input().split()))\\n  mod=10**9+7\\n  ans=1\\n  A.sort()\\n  if N%2==0:\\n    for i in range(0,N,2):\\n      if A[i]!=A[i+1] or A[i]!=i+1:\\n        print(0)\\n        return\\n      ans=ans*2%mod\\n    print(ans)\\n  else:\\n    if A[0]!=0:\\n      print(0)\\n      return\\n    ans=1\\n    for i in range(1,N,2):\\n      if A[i]!=A[i+1] or A[i]!=i+1:\\n        print(0)\\n        return\\n      ans=ans*2%mod\\n    print(ans)\\ndef __starting_point():\\n  main()\\n__starting_point()\", \"n = int(input())\\na = list(map(int, input().split()))\\n\\n# \\u77db\\u76fe\\u30c1\\u30a7\\u30c3\\u30af\\nfrom collections import Counter\\nc = Counter(a)\\n\\ndef check():\\n    if n&1:\\n        if c[0]!=1:\\n            return False\\n        for i in range((n-1)//2):\\n            if c[2*(i+1)] != 2:\\n                return False\\n    else:\\n        for i in range(n//2):\\n            if c[2*i+1] != 2:\\n                return False\\n    return True\\n\\nif not check():\\n    print(0)\\n    return\\n\\nprint(pow(2, n//2, 10**9+7))\", \"n = int(input())\\na = list(map(int,input().split()))\\ndic = {}\\nfor i in range(n):\\n    dic.setdefault(a[i],0)\\n    dic[a[i]] += 1\\nans = 1\\nfor key,value in dic.items():\\n    #\\u5076\\u6570\\n    if n%2==0:\\n        if n > key and key%2==1 and value==2:\\n            ans *= 2\\n        else:\\n            ans = 0\\n            break\\n    #\\u5947\\u6570\\n    else:\\n        if n > key and key%2==0:\\n            if key==0 and value==1:\\n                ans *= 1\\n            elif value==2:\\n                ans *= 2\\n            else:\\n                ans = 0\\n                break\\n        else:\\n            ans = 0\\n            break\\nprint(ans%(10**9+7))\", \"N=int(input())\\nMOD=10**9+7\\nA=[int(x) for x in input().split()]\\nflag=1#\\u305d\\u306e\\u4e26\\u3073\\u9806\\u304c\\u3042\\u308a\\u3048\\u308b\\u306a\\u30891\\u3001\\u305d\\u3046\\u3067\\u306a\\u3044\\u306a\\u30890\\nset1=set()\\nset2=set()\\nif N%2==1:\\n    set1.add(0)\\n    for j in range(2,N+1,2):\\n        set1.add(j)\\n        set2.add(j)\\n    for i in range(N):\\n        now=A[i]\\n        if now in set1:\\n            set1.remove(now)\\n        elif now in set2:\\n            set2.remove(now)\\n        else:\\n            flag=0\\n            break\\n    if len(set1)!=0 or len(set2)!=0:\\n        flag=0\\nelse:\\n    for k in range(1,N+1,2):\\n        set1.add(k)\\n        set2.add(k)\\n    for p in range(N):\\n        now=A[p]\\n        if now in set1:\\n            set1.remove(now)\\n        elif now in set2:\\n            set2.remove(now)\\n        else:\\n            flag=0\\n            break\\n    if len(set1)!=0 or len(set2)!=0:\\n        flag=0\\nif flag==0:\\n    print((0))\\nelse:\\n    ans=1\\n    div2=N//2\\n    for q in range(div2):\\n        ans*=2\\n        ans%=MOD\\n    print(ans)\\n\", \"N = int(input())\\nA = list(map(int, input().split()))\\n\\nm = 1000000007\\n\\nA.sort()\\nif N % 2 == 0:\\n    B = list(range(1, N, 2)) * 2\\nelse:\\n    B = [0] + list(range(2, N, 2)) * 2\\nB.sort()\\n\\nif A != B:\\n    print((0))\\nelse:\\n    result = 1\\n    for i in range(N // 2):\\n        result *= 2\\n        result %= m\\n    print(result)\\n\", \"from collections import Counter\\n\\nN,*A = map(int, open(0).read().split())\\nac = Counter(A)\\nif N % 2 == 0:\\n    for i in range(1,N,2):\\n        if ac[i] != 2:\\n            print(0)\\n            break\\n    else:\\n        print(pow(2,N//2,1000000007))\\nelse:\\n    if ac[0] != 1:\\n        print(0)\\n    else:\\n        for i in range(2,N,2):\\n            if ac[i] != 2:\\n                print(0)\\n                break\\n        else:\\n            print(pow(2,N//2,1000000007))\", \"n=int(input())\\na=list(map(int,input().split()))\\nif n%2==1:\\n    x=[i for i in range(n)]\\n    for i in range(n):\\n        if i%2==1:\\n            x[i]+=1\\nelse:\\n    x=[i for i in range(n)]\\n    for i in range(n):\\n        if i%2==0:\\n            x[i]+=1\\na.sort()\\nif x==a:\\n    print(pow(2,(n//2),10**9+7))\\nelse:\\n    print(0)\", \"import sys\\nfrom collections import deque\\np=10**9+7\\n\\ndef main(n,a):\\n  h=n//2\\n  g=n%2\\n  a.sort()\\n  c=[2*(x//2)+g+1 for x in range(n-g)]\\n  if g==1:\\n    c.insert(0,0)\\n  if a!=c:\\n      return 0\\n  return 2**(h%(p-1)) % p\\n\\ndef __starting_point():\\n  n=int(input())\\n  a=list(map(int,sys.stdin.readline().strip().split()))\\n  print((main(n,a)))\\n\\n__starting_point()\", \"N=int(input())\\nS=list(map(int,input().split()))\\nlenS=len(S)\\nT=[]\\nfor i in range(1,N+1):\\n    T.append(abs(i-(N+1-i)))\\n\\nT.sort()\\nS.sort()\\n\\n\\n\\nfor i in range(N):\\n    if T[i]!=S[i]:\\n        print((0))\\n        return\\n\\n\\nans=1\\nnagasa=lenS//2\\nfor i in range(nagasa):\\n    \\n    ans=(ans*2)%(10**9+7)\\n\\nprint(ans)\\n\\n\\n\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\n\\nif n%2 == 0: # \\u4eba\\u6570\\u304c\\u5076\\u6570\\u306e\\u5834\\u5408\\u306b\\u4e0d\\u6574\\u5408\\u304c\\u3042\\u308b\\u304b\\u78ba\\u8a8d\\n  for i in range(0,n,2):\\n    if a[i] != i+1 or a[i] != a[i+1]:\\n      print(0)\\n      return\\nelse: # \\u4eba\\u6570\\u304c\\u5947\\u6570\\u306e\\u5834\\u5408\\u306b\\u4e0d\\u6574\\u5408\\u304c\\u3042\\u308b\\u304b\\u78ba\\u8a8d\\n  if a[0] != 0: # \\u5dee\\u5206\\u304c0\\u5b58\\u5728\\u3057\\u3066\\u3044\\u308b\\u3053\\u3068\\u3092\\u78ba\\u8a8d\\n    print(0)\\n    return\\n  else:\\n    for i in range(1,n,2):\\n      if a[i] != i+1 or a[i] != a[i+1]:\\n        print(0)\\n        return\\n\\nans = 1\\nfor i in range(n//2):\\n  ans = ans * 2 % (10**9+7) # \\u7d44\\u307f\\u5408\\u308f\\u305b\\u3068\\u3057\\u3066\\u306f\\u540c\\u3058\\u5dee\\u5206\\u306e\\u5024\\u3092\\u5165\\u308c\\u66ff\\u3048\\u308b2\\u629e\\u306b\\u306a\\u308b\\u306e\\u3067\\u3001\\u7d50\\u679c\\u30922\\u500d\\u306b\\u3059\\u308b\\nprint(ans)\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\na=True\\nif N%2==0:\\n for i in range(1,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    a=False\\n    break\\nelse:\\n if A[0]!=0:a=False\\n else:\\n    for i in range(2,N,2):\\n     if A[i-1]!=i or A[i]!=i:\\n        a=False\\n        break\\nprint(2**(N//2)%(10**9+7) if a else 0)\", \"import math\\nN = int(input())\\nA = list(map(int, input().split()))\\n\\nflag = True\\nif N%2 == 0:\\n    if 0 in A or len(set(A)) != N//2:\\n        flag = False\\nelse:\\n    if len([0 for a in A if a == 0]) != 1 or len(set(A)) != N//2 + 1:\\n        flag = False\\n\\nif  flag:\\n    print((2**(math.floor(N/2))%(10**9+7)))\\nelse:\\n    print((0))\\n\", \"from collections import Counter\\n\\nn = int(input())\\nA = list(map(int, input().split()))\\ncnt_A = Counter(A)\\n\\nif all([v == 2 for k, v in cnt_A.items() if k != 0]):\\n    print(pow(2, n // 2, 10**9 + 7))\\nelse:\\n    print(0)\", \"N=int(input())\\nMOD=1000000007\\nA=list(map(int,input().split()))\\ncnt=[0 for i in range(N)]\\nfor i in range(N):\\n    cnt[A[i]]+=1\\nif N%2==0:\\n    for i in range(1,N,2):\\n        if cnt[i]!=2:\\n            print((0))\\n            break\\n    else:\\n        print((2**(N//2)%MOD))\\nelse:\\n    if cnt[0]!=1:\\n        print((0))\\n    else:\\n        for i in range(2,(N+1)//2,2):\\n            if cnt[i]!=2:\\n                print((0))\\n                break\\n        else:\\n            print((2**((N-1)//2)%MOD))\\n\", \"import collections\\nimport sys\\ninput = sys.stdin.readline\\n\\nN = int(input())\\nA = list(map(int,input().split()))\\nm = 1000000007\\n\\nflag0 = 1\\ncount = 0\\n#\\u5076\\u6570\\u3060\\u3063\\u305f\\u3089\\nif N %2 ==0:\\n    colA = collections.Counter(A)\\n    for key,val in list(colA.items()):\\n        if key%2 != 1 or val != 2:\\n            flag0 = 0\\n            break\\n    for i in range(1,N,2):\\n        if i not in list(colA.keys()):\\n            flag = 0\\n            break\\n        else:\\n            count +=1\\n#\\u5947\\u6570\\u3060\\u3063\\u305f\\u3089\\nelse:\\n    A.append(0)\\n    colA = collections.Counter(A)\\n    for key,val in list(colA.items()):\\n        if key%2 != 0 or val != 2:\\n            flag0 = 0\\n            break\\n    for i in range(0,N,2):\\n        if i not in list(colA.keys()):\\n            flag = 0\\n            break\\n        else:\\n            count +=1\\n    count -=1\\n\\n\\nprint((((2**count)%m)*flag0))\\n    \\n\"]",
        "difficulty": "introductory",
        "input": "7\n6 4 0 2 4 0 2\n",
        "output": "0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc050/tasks/arc066_a"
    },
    {
        "id": 270,
        "task_id": 4604,
        "test_case_id": 3,
        "question": "There are N people, conveniently numbered 1 through N.\nThey were standing in a row yesterday, but now they are unsure of the order in which they were standing.\nHowever, each person remembered the following fact: the absolute difference of the number of the people who were standing to the left of that person, and the number of the people who were standing to the right of that person.\nAccording to their reports, the difference above for person i is A_i.\nBased on these reports, find the number of the possible orders in which they were standing.\nSince it can be extremely large, print the answer modulo 10^9+7.\nNote that the reports may be incorrect and thus there may be no consistent order.\nIn such a case, print 0.\n\n-----Constraints-----\n - 1≦N≦10^5\n - 0≦A_i≦N-1\n\n-----Input-----\nThe input is given from Standard Input in the following format:\nN\nA_1 A_2 ... A_N\n\n-----Output-----\nPrint the number of the possible orders in which they were standing, modulo 10^9+7.\n\n-----Sample Input-----\n5\n2 4 4 0 2\n\n-----Sample Output-----\n4\n\nThere are four possible orders, as follows:\n - 2,1,4,5,3\n - 2,5,4,1,3\n - 3,1,4,5,2\n - 3,5,4,1,2",
        "solutions": "[\"n = int(input())\\na = [int(x) for x in input().split()]\\na.sort()\\nmod = 10 ** 9 + 7\\n\\ndef p(p):\\n  ans = 1\\n  for i in range(p):\\n    ans *= 2\\n    ans %= mod\\n  return ans\\n\\nif n % 2 == 1:\\n  res = True\\n  for i in range(n):\\n    if a[i] != ((i + 1) // 2) * 2:\\n      res = False\\n  if res:\\n    print(p(n // 2))\\n  else:\\n    print(0)\\n    \\nelse:\\n  res = True\\n  for i in range(n):\\n    if a[i] != (i // 2) * 2 + 1:\\n      res = False\\n  if res:\\n    print(p(n // 2))\\n  else:\\n    print(0)\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\ndef f(x):\\n for i in range(x,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    return 0\\n return 1   \\n    \\na=1\\nif N%2==0:a=f(1)\\nelse:\\n if A[0]!=0:a=0\\n else:a=f(2)\\nprint(2**(N//2)%(10**9+7)*a)\", \"import math\\n\\nN = 5\\nARR = [2, 4, 4, 0, 2]\\n\\nN = 7\\nARR = [6, 4, 0, 2, 4, 0, 2]\\n#\\n# N = 8\\n# ARR = [7, 5, 1, 1, 7, 3, 5, 3]\\n#\\nN = int(input())\\nARR = list(map(int, input().split()))\\n\\n\\ndef calculate(n, arr):\\n    if n % 2 == 0:\\n        n = n // 2\\n        start = 1\\n        finalResult = pow(2, n, 1000000000 + 7)\\n    else:\\n        n = n // 2 + 1\\n        start = 0\\n        finalResult = pow(2, (n - 1), 1000000000 + 7)\\n\\n    result = {}\\n    for i in range(n):\\n        index = start + 2 * i\\n        if index == 0:\\n            result.__setitem__(0, 1)\\n        else:\\n            result.__setitem__(index, 2)\\n\\n    isOk = True\\n    for i in range(len(arr)):\\n        if result.get(arr[i]) == None:\\n            isOk = False\\n            break\\n\\n        if result.get(arr[i]) == 0:\\n            isOk = False\\n            break\\n\\n        result.__setitem__(arr[i], result.get(arr[i])-1)\\n\\n    if isOk == False:\\n        print((0))\\n        return\\n\\n    if sum(result.values()) == 0:\\n        print(finalResult)\\n    else:\\n        print((0))\\n\\n\\ncalculate(N, ARR)\\n\", \"n = int(input())\\na = list(map(int, input().split()))\\na.sort()\\nres = True\\nif n % 2 != 0:\\n  if a[0] != 0:\\n    res = False\\n    print(0)\\n  a = a[1:]\\nfor i in range(0, len(a), 2):\\n  if a[i] != a[i+1]:\\n    print(0)\\n    res = False\\n    break\\n\\np = 10**9 + 7\\nif res:\\n  print(pow(2, n//2, p))\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\nans = 1\\n\\nif n%2 == 0:\\n    for i in range(0, n, 2):\\n        if a[i] != i + 1 or a[i + 1] != i + 1:\\n            print(0)\\n            return\\nelse:\\n    if a[0] != 0:\\n        print(0)\\n        return\\n    for i in range(1, n, 2):\\n        if a[i] != i + 1 or a[i + 1] != i + 1:\\n            print(0)\\n            return\\n\\nfor i in range(n//2):\\n    ans = ans*2%(10**9 + 7)\\n\\nprint(ans)\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\n\\nif n%2 == 0: # \\u4eba\\u6570\\u304c\\u5076\\u6570\\u306e\\u5834\\u5408\\u306b\\u4e0d\\u6574\\u5408\\u304c\\u3042\\u308b\\u304b\\u78ba\\u8a8d\\n  for i in range(0,n,2):\\n    if a[i] != i+1 or a[i+1] != i+1:\\n      print(0)\\n      return\\nelse: # \\u4eba\\u6570\\u304c\\u5947\\u6570\\u306e\\u5834\\u5408\\u306b\\u4e0d\\u6574\\u5408\\u304c\\u3042\\u308b\\u304b\\u78ba\\u8a8d\\n  if a[0] != 0: # \\u5dee\\u5206\\u304c0\\u5b58\\u5728\\u3057\\u3066\\u3044\\u308b\\u3053\\u3068\\u3092\\u78ba\\u8a8d\\n    print(0)\\n    return\\n  else:\\n    for i in range(1,n,2):\\n      if a[i] != i + 1 or a[i+1] != i + 1:\\n        print(0)\\n        return\\n        \\nans = 1        \\nfor i in range(n//2):\\n  ans = ans*2%(10**9+7)\\nprint(ans)\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\nif n % 2 == 0:\\n    b,s = [1,1],3\\nelse:\\n    b,s = [0],2\\nfor i in range(s,n,2):\\n    b += [i,i]\\nif a == b:\\n    print(pow(2,n//2,1000000007))\\nelse:\\n    print(0)\", \"N = int(input())\\nN_List = sorted(list(map(int,input().split())))\\nflg = 0\\nans = 1\\nif N % 2 == 1:\\n    if N_List[0] != 0:\\n        flg = 1\\n    else:\\n        for i in range(2,N,2):\\n            if i*2 != sum(N_List[i-1:i+1]):\\n                flg = 1\\n                break\\n            else:\\n                ans = (ans * 2) % ((10**9) +7)\\n        \\n\\nelse:\\n    for i in range(1,N,2):\\n        if i*2 != sum(N_List[i-1:i+1]):\\n            flg = 1\\n            break\\n        else:\\n            ans = (ans * 2) % ((10**9) +7)\\n\\nif flg == 0:\\n    print(ans)\\nelse:\\n    print((0))\\n\\n                \\n\", \"N = int(input())\\nA = [int(x) for x in input().split()]\\n\\ncnt = {}\\nif N & 1:\\n    bit = 1\\nelse:\\n    bit = 0\\n\\nfor a in A:\\n    if a & bit:\\n        ans = 0\\n        break\\n    if a in cnt:\\n        cnt[a] += 1\\n    else:\\n        cnt[a] = 1\\n\\nfor key in list(cnt.keys()):\\n    if key == 0 and cnt[key] != 1:\\n        ans = 0\\n        break\\n    if key != 0 and cnt[key] != 2:\\n        ans = 0\\n        break\\nelse:\\n    ans = 2**(N//2) %1000000007\\nprint(ans)\\n\", \"n=int(input())\\nfrom collections import Counter as co\\nc=co(map(int,input().split()))\\nans=pow(2,n//2,10**9+7)\\nif n%2 :\\n    if 0 not in c or c[0]>1:ans=0\\n    for i in range(1,n):\\n        if i%2==0 :\\n            if i not in c or c[i]!=2:ans=0;break\\n        else:\\n            if i in c:ans=0;break\\nelse:\\n    if 0 in c:ans=0\\n    for  i in range(1,n):\\n        if i%2:\\n            if i not in c or c[i]!=2:ans=0;break\\n        else:\\n            if i in c:ans=0;break\\nprint(ans)\", \"n = int(input())\\na = list(map(int, input().split()))\\nl = [0] * n\\nfor x in a:\\n    l[x] += 1\\nfor i in range(n):\\n    if l[i] > 2:\\n        print(0)\\n        return\\n    if l[i] > 0 and (i + n) % 2 == 0: \\n        print(0)\\n        return\\nif n % 2 == 1 and l[0] > 1:\\n    print(0)\\n    return\\nprint(pow(2, n // 2, 10 ** 9 + 7))\", \"n = int(input())\\na_list = sorted([int(x) for x in input().split()], reverse=True)\\nm = n\\nif m % 2 == 1:\\n    a_list.append(0)\\n    m += 1\\nfor i in range(0, m, 2):\\n    if not (a_list[i] == a_list[i + 1] == n - (i + 1)):\\n        print(0)\\n        return\\nprint(2 ** (n // 2) % (10 ** 9 + 7))\", \"n = int(input())\\na = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\nnum_map = [0] * ((n + 2 - 1) // 2)\\nfor i in range(n):\\n    num_map[a[i] // 2] += 1\\n\\nres = 2 - n % 2\\nif num_map[0] != 2 - n % 2:\\n    print((0))\\nelse:\\n    for i in range(1, (n + 2 - 1) // 2):\\n        if num_map[i] != 2:\\n            print((0))\\n            break\\n        else:\\n            res = res * 2 % mod\\n    else:\\n        print(res)\\n\", \"mod = 10**9+7\\nn = int(input())\\na = list(map(int,input().split()))\\nc_dic = dict()\\nif n%2 == 0:\\n  for num in a:\\n    if num%2 == 0 or n < num:\\n      print(0)\\n      return\\n    if num in c_dic:\\n      c_dic[num] += 1\\n      if c_dic[num] > 2:\\n        print(0)\\n        return\\n    else:\\n      c_dic[num] = 1\\n  print(pow(2,n//2,mod))\\nelse:\\n  for num in a:\\n    if num%2 == 1 or n < num:\\n      print(0)\\n      return\\n    if num in c_dic:\\n      c_dic[num] += 1\\n      if c_dic[num] > 2:\\n        print(0)\\n        return\\n    else:\\n      c_dic[num] = 1\\n  if c_dic[0] != 1:\\n    print(0)\\n    return\\n  print(pow(2,n//2,mod))\", \"import sys\\nfrom collections import Counter\\n\\nn = int(input())\\na = list(map(int, input().split()))\\na.sort()\\n\\nl = []\\n\\nfor i in range(n):\\n    li = abs(i - (n-1-i))\\n    l.append(li)\\n    \\nl.sort()\\n\\n\\nfor ai, li in zip(l,a):\\n    if ai != li:\\n        print((0))\\n        return\\n\\nd = Counter(l)\\nmod = 10 ** 9 + 7\\nans = 1\\n\\nfor li in d:\\n    for j in range(1,d[li]+1):\\n        ans *= j\\n        ans %= mod\\n\\nprint(ans)\\n\", \"n=int(input())\\na=[int(i) for i in input().split()]\\n\\ndef somosomo(a):\\n    ans=[]\\n    if n%2==1:\\n        ans.append(0)\\n        for i in range(1,n//2+1):\\n            ans.append(i*2)\\n            ans.append(i*2)\\n        b=sorted(a)\\n        if b==ans:\\n            return True\\n        return False\\n    else:\\n        for i in range(1,n//2+1):\\n            ans.append(i*2-1)\\n            ans.append(i*2-1)\\n        b=sorted(a)\\n        if b==ans:\\n            return True\\n        return False\\n\\ndef two_ride(n):\\n    ans=1\\n    for i in range(n):\\n        ans*=2\\n        ans%=10**9+7\\n    return ans\\n\\nif somosomo(a):\\n    print(two_ride(n//2))\\nelse:\\n    print(0)\", \"n=int(input())\\na=list(map(int,input().split()))\\nl=[0]*n\\nfor i in range(n):\\n    l[a[i]]+=1\\n#print(l)\\nif n%2==1:\\n    if l[0]!=1:\\n        print(0)\\n        return\\nans=1\\nfor i in range(n):\\n    if n%2==0:\\n        if i%2==0:\\n            if l[i]!=0:\\n                print(0)\\n                return\\n    else:\\n        if i%2==1:\\n            if l[i]!=0:\\n                print(0)\\n                return\\n    \\n    if l[i]==2:\\n        ans*=2\\n    elif l[i]>2:\\n        print(0)\\n        return\\n    ans%=(10**9 +7)\\nprint(ans)\", \"N = int(input())\\ncount = [0]*(N+1)\\nmodz = 10**9 + 7\\n\\ndef junretsu(a):\\n    if a <= 0: return 1\\n    if (a & 0x01) == 1:\\n        return 2*junretsu(a-1) % modz\\n    else:\\n        rr = junretsu(a>>1)\\n        return rr*rr % modz\\n\\npos = list(map(int, input().split()))\\nfor i in range(N):\\n    count[pos[i]] += 1\\n\\ndiff = [0]*(N+1)\\nfor i in range(1, N+1):\\n    d = abs((N - i) - (i-1))\\n    diff[d] += 1\\n\\ninvalid = False\\ntotal = 1\\nfor i in range(N):\\n    if count[i] != diff[i]:\\n        invalid = True\\n        break\\n\\nif invalid:\\n    print((0))\\nelse:\\n    print((junretsu(int(N/2))))\\n\", \"num = int(input())\\nt = [int(n) for n in input().split()]\\nt = sorted(t)\\n\\nvalid = True\\n\\nif num % 2 == 1: # odd\\n  check = list(range(0,num+1,2))[1:]\\n  \\n  valid1 = t[0] == 0\\n  valid2 = check == t[2::2] # even, skip first\\n  valid3 = check == t[1::2] # odd\\n  valid = valid1 and valid2 and valid3\\n  \\n  if not valid:\\n    print((0))\\n  else:\\n    ans = 2**((num-1)//2) % (10**9 + 7)\\n    print(ans)\\n  \\nelse: # even \\n  check = list(range(1,num,2))\\n  \\n  valid1 = True\\n  valid2 = check == t[::2] # even\\n  valid3 = check == t[1::2] # odd\\n  valid = valid1 and valid2 and valid3\\n  \\n  if not valid:\\n    print((0))\\n  else:\\n    ans = 2**((num)//2) % (10**9 + 7)\\n    print(ans)\\n\\n\\n  \\n\", \"N = int(input())\\nA = list(map(int,input().split()))\\n   \\nA.sort()\\n\\ncheck=[0]*N\\n\\nfor idx in range(N%2,N,2):\\n    check[idx]=idx+1\\n    check[idx+1]=idx+1\\n\\nans=0\\n\\nif check == A:\\n    if N % 2 == 0:\\n        ans=(2**(N//2))%(10**9+7)\\n    elif N % 2 != 0:\\n        ans=(2**((N-1)//2))%(10**9+7)\\n    \\nprint(ans)\\n\", \"n=int(input())\\nmod=10**9+7\\nA=list(map(int,input().split()))\\n\\nfrom collections import Counter\\nC=Counter(A)\\nif n%2==0:\\n    for i in range(1,n,2):\\n        if C.get(i) != 2:\\n            print(0);return\\nelse:\\n    if C.get(0) !=1:\\n        print(0);return\\n    for i in range(2,n,2):\\n        if C.get(i)!=2:\\n            print(0);return\\n\\nn//=2\\nprint(pow(2,n,mod))\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\n\\nif len(a)%2==1:\\n    tmp = [0]\\n    for i in range((len(a)-1)//2):\\n        tmp.append((i+1)*2)\\n        tmp.append((i+1)*2)\\n    if a == tmp:\\n        ans = (2**((len(a)-1)//2))%(10**9+7)\\n    else:\\n        ans = 0\\nelse:\\n    tmp = []\\n    for i in range(len(a)//2):\\n        tmp.append(2*i+1)\\n        tmp.append(2*i+1)\\n    if a == tmp:\\n        ans = (2**(len(a)//2))%(10**9+7)\\n    else:\\n        ans = 0\\nprint(ans)\", \"N = int(input())\\nAs = list(map(int, input().split()))\\n# \\u7d76\\u5bfe\\u5024\\u306e\\u5dee\\u306f\\u3001\\n# \\u5947\\u6570\\u306e\\u5834\\u5408\\u306fN+1\\u304b\\u30892\\u305a\\u3064\\u6e1b\\u3089\\u3057\\u3066\\u884c\\u3063\\u305f\\u5206\\u3057\\u304b\\u306a\\u3044\\u3002(N+1)/2\\n# \\u5076\\u6570\\u306e\\u5834\\u5408\\u306fN\\u304b\\u30892\\u305a\\u3064\\u6e1b\\u3089\\u3057\\u3066\\u884c\\u3063\\u305f\\u5206\\u3057\\u304b\\u306a\\u3044\\u3002N/2\\nnums = {}\\nexists = True\\nif N % 2 == 0:\\n    for A in As:\\n        if A in nums:\\n            nums[A] += 1\\n        else:\\n            nums[A] = 1\\n    for key, value in list(nums.items()):\\n        if key == 0:\\n            exists = False\\n        if value != 2:\\n            exists = False\\n\\nelse:\\n    for A in As:\\n        if A in nums:\\n            nums[A] += 1\\n        else:\\n            nums[A] = 1\\n    for key, value in list(nums.items()):\\n        if key == 0:\\n            if value != 1:\\n                exists = False\\n        else:\\n            if value != 2:\\n                exists = False\\nif not exists:\\n    print((0))\\nelse:\\n    ans = 1\\n    if N % 2 == 0:\\n        for i in range(int(N / 2)):\\n            ans = ans * 2\\n            ans %= 10**9 + 7\\n    else:\\n        for i in range(int((N - 1) / 2)):\\n            ans = ans * 2\\n            ans %= 10**9 + 7\\n            # \\u7d76\\u5bfe\\u5024\\u306e\\u5dee\\u306f0\\u306e\\u6642\\u306f1\\u4eba\\u3060\\u3051\\u3002\\u305d\\u306e\\u307b\\u304b\\u306f2\\u4eba\\u3060\\u3051\\u3002\\u3053\\u308c\\u304c\\u6e80\\u305f\\u305b\\u308b\\u306a\\u3089\\n            # (\\u5076\\u6570)2**(N+1/2)\\n            # (\\u5947\\u6570)2**(N/2)\\n    print(ans)\\n\", \"from collections import Counter\\n\\n\\ndef mod_pow(a, n, mod):\\n    \\\"\\\"\\\"\\n    \\u4e8c\\u5206\\u7d2f\\u4e57\\u6cd5\\u306b\\u3088\\u308b a^n (mod m)\\u306e\\u5b9f\\u88c5\\n    :param a: \\u7d2f\\u4e57\\u306e\\u5e95\\n    :param n: \\u7d2f\\u4e57\\u306e\\u6307\\u6570\\n    :param mod: \\u6cd5\\n    :return: a^n (mod m)\\n    \\\"\\\"\\\"\\n\\n    result = 1\\n    a_n = a\\n    while n > 0:\\n        if n & 1:\\n            result = result * a_n % mod\\n        a_n = a_n * a_n % mod\\n        n >>= 1\\n    return result\\n\\n\\nN = int(input())\\nA = Counter(tuple(map(int, input().split(' '))))\\nMOD = 10 ** 9 + 7\\n\\nif A[0] > 1:\\n    print((0))\\nelif sum([key for key, value in list(A.items()) if value == 1]) != 0:\\n    print((0))\\nelse:\\n    print((mod_pow(2, N // 2, MOD)))\\n\", \"N = int(input())\\nA = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\n\\nA = sorted(A)\\nans = 1\\nif N % 2 == 0:#[1,1,3,3,5,5,...]\\n  for i in range(N):\\n    xx = int(i / 2)\\n    if A[i] != 2 * xx + 1:\\n      ans = 0\\n    else:\\n      if i % 2 == 1:\\n        ans *= 2\\n        ans %= mod\\nelse:#[0, 2, 2, 4, 4 ...]\\n  for i in range(N):\\n    xx = int((i + 1)/2)\\n    if A[i] != 2 * xx:\\n      ans = 0\\n    else:\\n      if (i % 2 == 0) and (i != 0):\\n        ans *= 2\\n        ans %= mod\\n      \\n      \\n  \\n  \\nprint(ans)\\n\\n\", \"n = int(input())\\na = list(map(int, input().split()))\\na.sort()\\nres = True\\nanse = list(i for i in range(1, n, 2))\\nanso = list(i for i in range(2, n, 2))\\nif n % 2 != 0:\\n  if a[0] != 0:\\n    res = False\\n    print(0)\\n  a = a[1:]\\n  for i in range(0, len(a), 2):\\n    if a[i] != anso[i//2] or a[i+1] != anso[i//2]:\\n        print(0)\\n        res = False\\n        break\\n\\n\\nif n % 2 == 0:\\n    for i in range(0, len(a), 2):\\n        if a[i] != anse[i//2] or a[i+1] != anse[i//2]:\\n            print(0)\\n            res = False\\n            break\\n\\np = 10**9 + 7\\nif res:\\n  print(pow(2, n//2, p))\", \"n=int(input())\\nl=list(map(int,input().split()))\\nmod=10**9+7\\nif n%2==0:\\n    d={i:2 for i in range(1,n,2)}\\nelse:\\n    d={i:2 for i in range(0,n,2)}\\n    d[0]=1\\nfor a in l:\\n    if a in d:\\n        d[a]-=1\\n    else:\\n        print((0))\\n        return\\nfor i in list(d.values()):\\n    if i!=0:\\n        print((0))\\n        return\\nprint(((2**(n//2))%mod))\\n\", \"from collections import Counter\\n\\nn = int(input())\\nA = list(map(int, input().split()))\\ncnt_A = Counter(A)\\n\\nif not all([v == 2 for k, v in cnt_A.items() if k != 0]):\\n    print(0)\\nelse:\\n    print(pow(2, n // 2, 10**9 + 7))\", \"N = int(input())\\nA = list(map(int, input().split()))\\n\\nans = 0\\nA_test = sorted(list(set(A)))\\n\\nif N % 2 == 1:\\n    judge = [i for i in range(0,N,2)]\\n    if (A_test == judge) and (A.count(0) == 1):\\n        ans = 2**(N//2)\\nelse:\\n    judge = [i for i in range(1,N,2)]\\n    if A_test == judge:\\n        ans = 2**(N//2)\\n\\nans = ans % (10**9 + 7)\\nprint(ans)\\n\", \"import sys\\nfrom collections import Counter\\nN = int(input())\\nA = list(map(int, input().split()))\\nMOD = 10 ** 9 + 7\\n\\nC = Counter(A)\\nC = sorted(C.items(), key=lambda x: x[0])\\nif N % 2 == 0:\\n    s = 1\\n    for k, v in C:\\n        if k != s or v != 2:\\n            print(0)\\n            return\\n        s += 2\\n    print(pow(2, (N // 2), MOD))\\nelse:\\n    s = 0\\n    for k, v in C:\\n        if k == 0:\\n            if k != 0 or v != 1:\\n                print(0)\\n                return\\n            s += 2\\n            continue\\n        if k != s or v != 2:\\n            print(0)\\n            return\\n        s += 2\\n    print(pow(2, (N - 1) // 2, MOD))\", \"from collections import Counter\\nn=int(input())\\na=sorted(list(map(int,input().split())))\\na_count=Counter(a)\\nif n%2==1:\\n    ans=1\\n    for i in a_count:\\n        if i%2!=0:\\n            print(0)\\n            break\\n        else:\\n            if i==0:\\n                if a_count[i]!=1:\\n                    print(0)\\n                    break\\n            \\n            else:\\n                if a_count[i]==2:\\n                     ans=(ans*2)%(10**9+7)\\n                else:\\n                    print(0)\\n                    break\\n    else:\\n      print(ans)\\nelse:\\n    ans=1\\n    for j in a_count:\\n        if j%2!=1:\\n            print(0)\\n            break\\n        else:\\n            if a_count[j]==2:\\n                ans=(ans*2)%(10**9+7)\\n           \\n            else:\\n                print(0)\\n                break\\n    else:\\n      print(ans)\", \"n = int(input())\\na = list(map(int, input().split()))\\nflg = 0\\n\\na.sort()\\nif n % 2 == 0:\\n  if a[0] == 1 and a[1] == 1:\\n    for i in range(2, n, 2):\\n      if a[i] == a[i + 1] and a[i - 1] + 2 == a[i]:\\n        continue\\n      else:\\n        flg = 1\\n        break\\n  else:\\n    flg = 1\\nelse:\\n  if a[0] == 0:\\n    for i in range(1, n, 2):\\n      if a[i] == a[i + 1] and a[i - 1] + 2 == a[i]:\\n        continue\\n      else:\\n        flg = 1\\n        break\\n  else:\\n    flg = 1\\n\\nif flg == 1:\\n  print(0)\\nelse:\\n  print((2 ** (n // 2)) % (10 ** 9 + 7))\", \"n=int(input())\\nl=list(map(int,input().split()))\\nmod=10**9+7\\nif n%2==0:\\n    d={i:2 for i in range(1,n,2)}\\nelse:\\n    d={i:2 for i in range(0,n,2)}\\n    d[0]=1\\nfor a in l:\\n    if a in d:\\n        d[a]-=1\\n    else:\\n        print(0)\\n        return\\nfor i in d.values():\\n    if i!=0:\\n        print(0)\\n        return\\nprint((2**(n//2))%mod)\", \"def main():\\n  N = int(input())\\n  A = [int(a) for a in input().split(\\\" \\\")]\\n  A.sort()\\n \\n  if N % 2 == 1 and A.count(0) != 1:\\n    print(0)\\n    return 0\\n  elif N % 2 == 0 and A.count(0) > 0:\\n    print(0)\\n    return 0\\n  \\n  if N % 2 == 1:\\n    A.pop(0)\\n  \\n  cnt = 0\\n  while len(A) > 0:\\n    if A[0] != A[1] or (len(A) > 2 and A[0] == A[1] and A[1] == A[2]):\\n      print(0)\\n      return 0\\n    elif A[0] == A[1] == 2 * cnt + (N % 2) + 1:\\n      cnt += 1\\n      A.pop(0)\\n      A.pop(0)\\n    else:\\n      print(0)\\n      return 0\\n \\n  ans = 1\\n  for p in range(cnt):\\n    ans = (ans * 2) % 1000000007\\n  print(ans)\\n\\nmain()\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\n\\nif n == 1:\\n  print(1)\\n  return\\nelif n%2 == 0:\\n  for i in range(0,n-2,2):\\n    if a[i] != a[i+1] or a[i] == a[i+2]:\\n      print(0)\\n      return\\n  if a[-2] != a[-1]:\\n    print(0)\\n    return\\nelse:\\n  if a[0] != 0 or a[1] == 0:\\n    print(0)\\n    return\\n  for i in range(1,n-2,2):\\n    if a[i] != a[i+1] or a[i] == a[i+2]:\\n      print(0)\\n      return\\n  if a[-2] != a[-1]:\\n    print(0)\\n    return\\n\\nmod = 10**9+7\\nif n%2 == 0: print(2**(n//2)%mod)\\nelse: print(2**((n-1)//2)%mod)\", \"N = int(input())\\nA = list(map(int, input().split()))\\nmod = pow(10,9)+7\\nA.sort()\\n\\nif N%2 == 0:\\n    for i in range(N//2):\\n        if A[2*i] != A[2*i+1] or A[2*i] != 2*i+1:\\n            print((0))\\n            return\\n    ans = pow(2,N//2)\\n    print((ans%mod))\\nelse:\\n    if A[0] != 0:\\n        print((0))\\n        return\\n    for i in range(N//2):\\n        if A[2*i+1] != A[2*(i+1)] or A[2*i+1] != 2*(i+1):\\n            print((0))\\n            return\\n    ans = pow(2,N//2)\\n    print((ans%mod))\\n\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n \\na=True\\nif N%2==0:\\n for i in range(1,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    a=False\\n    break\\nelse:\\n if A[0]!=0:a=False\\n else:\\n    for i in range(2,N,2):\\n     if A[i-1]!=i or A[i]!=i:\\n        a=False\\n        break\\nprint(2**(N//2)%(10**9+7) if a else 0)\", \"from collections import Counter\\n\\nN = int(input())\\nA = list(map(int, input().split()))\\nMOD = int(1e9) + 7\\n\\n# \\u5076\\u6570\\u306e\\u5834\\u5408\\nif N % 2 == 0:\\n    c = Counter(A)\\n    if all(i == 2 for i in c.values()):\\n        print(pow(2, N//2, MOD))\\n    else:\\n        print(0)\\n# \\u5947\\u6570\\u306e\\u5834\\u5408\\nelse:\\n    A.sort()\\n    A = A[1:]\\n    c = Counter(A)\\n    if all(i == 2 for i in c.values()):\\n        print(pow(2, N//2, MOD))\\n    else:\\n        print(0)\", \"N = int(input())\\na = list(map(int, input().split()))\\nSum = 1\\nmod = 1000000007\\n\\na.sort()\\ndata = []\\nif N % 2 == 0:\\n    for i in range(int(N / 2)):\\n        data.append(1 + i * 2)\\n        data.append(1 + i * 2)\\nelse:\\n    data.append(0)\\n    for i in range(1, N // 2 + 1):\\n        data.append(i * 2)\\n        data.append(i * 2)\\n\\nif a == data:\\n    for i in range(N // 2):\\n        Sum *= 2\\n        Sum %= mod\\n    print(Sum)\\nelse:\\n    print((0))\\n\", \"N=int(input())\\nA=list(map(int,input().split()))\\n\\nA.sort()\\ncheck=[0]*N\\n\\nfor idx in range(N%2,N,2):\\n    check[idx]=idx+1\\n    check[idx+1]=idx+1\\n\\nans=0\\nmod=10**9+7\\nif check==A:\\n    if N%2==0:\\n        ans=(2**(N//2))%mod\\n    else:\\n        ans=(2**((N-1)//2))%mod\\nprint(ans)\", \"n = int(input())\\na = list(map(int, input().split()))\\n\\nfrom collections import Counter\\nc = Counter(a)\\n\\ncheck_ary = []\\nif n&1:\\n    check_ary.append(0)\\n\\nfor i in range(n//2):\\n    for _ in range(2):\\n        check_ary.append((i+1)*2 if n&1 else i*2+1)\\n\\nc2 = Counter(check_ary)\\n\\nif c != c2:\\n    print(0)\\n    return\\n\\nprint(pow(2, n//2, 10**9+7))\", \"import sys\\nimport heapq, math\\nfrom itertools import zip_longest, permutations, combinations, combinations_with_replacement\\nfrom itertools import accumulate, dropwhile, takewhile, groupby\\nfrom functools import lru_cache\\nfrom copy import deepcopy\\n\\nN = int(input())\\nA = list(map(int, input().split()))\\n\\nB = [0] * N\\n\\nfor a in A:\\n    B[a] += 1\\n\\nok = True\\n\\nif N % 2 == 1:\\n    ok = ok and B[0] == 1\\n    for i in range(1, N):\\n        ok = ok and B[i] == (2 if i % 2 == 0 else 0)\\nelse:\\n    for i in range(N):\\n        ok = ok and B[i] == (0 if i % 2 == 0 else 2)\\n\\nans = 1\\nMOD = int(1e9) + 7\\nfor _ in range(N // 2):\\n    ans *= 2\\n    ans %= MOD\\n\\nprint((ans if ok else 0))\\n\", \"n=int(input())\\nA=list(map(int,input().split()))\\nA.sort()\\njudge=0\\nif n%2==1:\\n    for i in range(n):\\n        if A[i]!=2*((i+1)//2):\\n            judge+=1\\n            break\\nelse:\\n    for i in range(n):\\n        if A[i]!=2*(i//2)+1:\\n            judge+=1\\n            break\\nif judge==1:\\n    print(0)\\nelse:\\n    print((2**(n//2))%(10**9+7))\", \"from collections import Counter\\nn = int(input())\\na = list(map(int, input().split()))\\nc = Counter(a)\\nd = list(c.values())\\nif (n % 2 == 1 and c[0] == 1 and d.count(2) == (n-1)//2) or (n % 2 == 0 and d.count(2) == n//2):\\n    print(pow(2, n//2, 10**9+7))\\nelse:\\n    print(0)\", \"from collections import Counter\\nn = int(input())\\na = list(map(int, input().split()))\\nc = Counter(a)\\nd = list(c.values())\\nif (n % 2 == 1 and c[0] == 1 and d.count(2) == (n-1)//2) or (n % 2 == 0 and d.count(2) == n//2):\\n    print((2**(n//2)) % (10**9+7))\\nelse:\\n    print(0)\", \"N = int(input())\\nK = [0 for i in range(N+1)]\\nA = list(map(int,input().rstrip().split(\\\" \\\")))\\nans = 1\\nfor i in A:\\n    K[i] += 1\\nfor i in range(N):\\n    if i != 0 and K[i] != 0 and K[i] != 2:\\n        ans = 0\\n        break\\n    if K[i] == 2:\\n        ans *= 2\\n        ans %= 10 ** 9 + 7\\nprint(ans)\", \"import collections\\n\\nn = int(input())\\na = list(map(int, input().split()))\\ncnt = collections.Counter(a)\\nmod = 7 + 10**9\\nif n % 2 == 0:\\n    for i in range(1, 1 + n // 2):\\n        if (i * 2 - 1) not in cnt.keys() or cnt[i * 2 - 1] != 2:\\n            print(0)\\n            return\\n\\nelse:\\n    if 0 not in cnt.keys() or cnt[0] != 1:\\n        print(0)\\n        return\\n    for i in range(1, 1 + n // 2):\\n        if i * 2 not in cnt.keys() or cnt[i * 2] != 2:\\n            print(0)\\n            return\\nprint(2 ** (n // 2) % mod)\", \"n = int(input())\\na = list(map(int, input().split()))\\n\\n\\na = sorted(a)\\n\\nnum = 0\\njudge = 0\\n\\nif len(a)%2 == 1:\\n    if a[0] == 0:\\n        for i in range(1, n, 2):\\n            if a[i] == i+1 and a[i+1] == i+1:\\n                num += 1\\n            else:\\n                print(0)\\n                judge = 1\\n                break\\n    else:\\n        print(0)\\n        judge=1\\nelse:\\n    for i in range(0, n, 2):\\n            if a[i] == i+1 and a[i+1] == i+1:\\n                num += 1\\n            else:\\n                print(0)\\n                judge = 1\\n                break\\n        \\nif judge == 0:\\n    result = (2**num)%(10**9+7)\\n    print(result)\", \"from collections import defaultdict\\nN = int(input())\\nA = list(map(int, input().split()))\\n\\nL = A[:]\\nL = list(set(L))\\n\\nmod = 10 ** 9 + 7\\n\\nd = defaultdict(int)\\nfor i in range(N):\\n    d[A[i]] += 1\\n\\nif N % 2 == 1:\\n    bfr = 0\\n    for i in L:\\n        if i - bfr != 2 and i != 0:\\n            print((0))\\n            return\\n\\n        if i == 0:\\n            if d[i] != 1:\\n                print((0))\\n                return\\n            else:\\n                continue\\n        if d[i] != 2:\\n            print((0))\\n            return\\n        bfr = i\\n\\n    print(((2 ** (N // 2)) % mod))\\nelse:\\n    bfr = 1\\n    for i in L:\\n        if i - bfr != 2 and i != 1:\\n            print((0))\\n            return\\n\\n        if d[i] != 2:\\n            print((0))\\n            return\\n        bfr = i\\n\\n    print(((2 ** (N // 2)) % mod))\\n\", \"n = int(input())\\na = list(map(int,input().split()))\\nmod = 10**9+7\\n\\na.sort()\\n\\nif n%2 == 1: \\n    if a[0] != 0:\\n        print((0))\\n        return\\n    else:\\n        a.remove(0)\\n        tmp = 2\\nelse:\\n    tmp = 1\\n\\nfor i in range(n//2):\\n    if tmp == a[0] and tmp == a[1]:\\n        a.remove(tmp)\\n        a.remove(tmp)\\n    else:\\n        print((0))\\n        return\\n    tmp += 2\\n\\nif len(a) == 0:\\n    print(((2**(n//2))%mod))\\nelse:\\n    print((0))\\n\\n\\n\", \"n = int(input())\\na = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\nnum_map = [0] * ((n + 2 - 1) // 2)\\nfor i in range(n):\\n    num_map[a[i] // 2] += 1\\n\\nres = 1\\nif n % 2 == 1:\\n    if num_map[0] != 1:\\n        print((0))\\n    else:\\n        for i in range(1, (n + 2 - 1) // 2):\\n            if num_map[i] != 2:\\n                print((0))\\n                break\\n            else:\\n                res = res * 2 % mod\\n        else:\\n            print(res)\\nelse:\\n    for i in range((n + 2 - 1) // 2):\\n        if num_map[i] != 2:\\n            print((0))\\n            break\\n        else:\\n            res = res * 2 % mod\\n    else:\\n        print(res)\\n\", \"N=int(input())\\nA=list(map(int,input().split()))\\nmod = 10**9+7\\n\\nA=tuple(sorted(A))\\n\\nif N % 2 == 1:\\n  nums=[0]\\n  for i in range(2,N+1,2):\\n    nums.append(i)\\n    nums.append(i)\\nelse:\\n  nums=[]\\n  for i in range(1,N+1,2):\\n    nums.append(i)\\n    nums.append(i)\\n    \\nnums = tuple(nums)\\nif A != nums:\\n  print(0)\\n  return\\n  \\nprint(2**(N//2) % mod)\", \"N = int(input())\\nA = list(map(int,input().split()))\\nA.sort()\\nmod = 10**9 + 7\\nif N%2 == 0:\\n    for i in range(N):\\n        if A[i] != 1+(i//2)*2:\\n            print(0)\\n            break\\n    else:\\n        print(pow(2,N//2,mod))\\nelse:\\n    if A[0] == 0:\\n        for i in range(1,N):\\n            if A[i] != ((i+1)//2)*2:\\n                print(0)\\n                break\\n        else:\\n            print(pow(2,N//2,mod))\", \"n = int(input())\\na = list(map(int,input().split()))\\nmod = 10**9 + 7\\n\\nd = [0]*(n+1)\\nfor x in a:\\n    d[x] += 1\\nans = 1\\nif n%2 == 0:\\n    sw = 1\\n    for i,x in enumerate(d):\\n        if i%2 != 0:\\n            if x == 2:\\n                ans *= 2\\n                ans %= mod\\n            else:\\n                sw = 0\\n                break\\n        else:\\n            if x != 0:\\n                sw = 0\\n                break\\nelse:\\n    sw = 1\\n    for i,x in enumerate(d):\\n        if i%2 == 0:\\n            if i == 0:\\n                if x != 1:\\n                    sw = 0\\n                    break\\n            else:\\n                if x == 2:\\n                    ans *= 2\\n                    ans %= mod\\n                else:\\n                    sw = 0\\n                    break\\n        else:\\n            if x != 0:\\n                sw = 0\\n                break\\nif sw == 0:\\n    ans = 0\\nprint(ans)\\n\", \"N = int(input())\\nA = sorted(list(map(int,input().split())))\\n\\nif N%2==0:\\n  B = [1+2*(n//2) for n in range(N)]\\nelse:\\n  B = [2*(n//2) for n in range(1,1+N)]\\n\\nif A==B:\\n  print(pow(2,N//2,10**9+7))\\nelse:\\n  print(0)\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\nMOD = 10 ** 9 + 7\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    N = I()\\n    A = LI()\\n\\n    if N % 2 == 0:\\n        if sorted(A) == [i // 2 * 2 + 1 for i in range(N)]:\\n            print((pow(2, N // 2, MOD)))\\n        else:\\n            print((0))\\n    else:\\n        if sorted(A) == [(i // 2 + 1) * 2 for i in range(-1, N - 1)]:\\n            print((pow(2, (N - 1) // 2, MOD)))\\n        else:\\n            print((0))\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"def PowerMod(N,P,Mod):\\n    if N%Mod==0:\\n        return 0\\n    else:\\n        PowM = 1\\n        for TP in range(1,P+1):\\n            PowM = (PowM*N)%Mod\\n        return PowM\\n\\nfrom collections import Counter\\nN = int(input())\\nA = sorted(Counter([int(T) for T in input().split()]).most_common(),key=lambda X:X[0])\\nPassFlag = True\\nif N%2==1:\\n    for TA in range(0,(N+1)//2):\\n        if A[TA][0]!=(2*TA) or A[TA][1]!=(1+(A[TA][0]!=0)):\\n            PassFlag = False\\n            break\\n    print([0,PowerMod(2,(N-1)//2,10**9+7)][PassFlag])\\nelse:\\n    for TA in range(0,N//2):\\n        if A[TA][0]!=(2*TA+1) or A[TA][1]!=2:\\n            PassFlag = False\\n            break\\n    print([0,PowerMod(2,N//2,10**9+7)][PassFlag])\", \"from collections import Counter\\n\\nn = int(input())\\nc = Counter(list(map(int, input().split())))\\n\\nans = 0\\nfor k, v in list(c.items()):\\n    if k == 0:\\n        if n%2==0 and v > 2:\\n            print((0))\\n            return\\n        elif n%2==1 and v > 1:\\n            print((0))\\n            return\\n    else:\\n        ans += 1\\n        if v > 2:\\n            print((0))\\n            return\\n\\nprint((pow(2, ans, 10**9+7)))\\n\", \"from typing import Counter\\n\\n\\nn = int(input())\\nlis = list(map(int, input().split()))\\nmod  =10**9+7\\n\\nans = 0\\nif n % 2 == 0:\\n    b = Counter(lis)\\n    flag = 1\\n    for i in list(b.values()):\\n        if i == 2:\\n            pass\\n        else:\\n            flag = 0\\n            break\\n    if flag:\\n        ans = 2**(n//2)\\n        print((ans % mod))\\n    else:\\n        print((0))\\nelse:\\n    lis = sorted(lis)\\n    lis = lis[1:]\\n    b = Counter(lis)\\n    flag = 1\\n    for i in list(b.values()):\\n        if i == 2:\\n            pass\\n        else:\\n            flag = 0\\n            break\\n    if flag:\\n        ans = 2**(n//2)\\n        print((ans % mod))\\n    else:\\n        print((0))\\n\", \"n=int(input())\\na=list(map(int,input().split()))\\nflag=0\\nA=a.sort()\\nnum=[]\\n\\nif n%2==0:\\n    for i in range(1,n,2):\\n        num.append(i)\\n        num.append(i)\\n\\nif n%2==1:\\n    num=[0]\\n    for i in range(2,n,2):\\n        num.append(i)\\n        num.append(i)\\n\\nif num==a:\\n    print(2**(n//2)%(10**9+7))\\n\\nelse:\\n    print(\\\"0\\\")\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\nf=lambda:2**(N//2)%(10**9+7)\\na=True\\nif N%2==0:\\n    for i in range(1,N,2):\\n        if A[i-1]!=i or A[i]!=i:\\n            # print(i,A[i-1],A[i])\\n            a=False\\n            break\\nelse:\\n    if A[0]!=0:\\n            a=False\\n    else:\\n        for i in range(2,N,2):\\n            if A[i-1]!=i or A[i]!=i:\\n                # print(i,A[i-1],A[i])\\n                a=False\\n                break\\nprint(f() if a else 0)\", \"n = int(input())\\nA = list(map(int, input().split()))\\n\\nd = {}\\nfor a in A:\\n    d[a] = d.get(a, 0)+1\\n\\nzero_cnt = 0\\ntwo = 0\\nno = 0\\nfor i in d:\\n    if i==0:\\n        zero_cnt+=1\\n    elif d[i]==2:\\n        two+=1\\n    else:\\n        no+=1\\n\\nif no!=0 or (n%2==0 and zero_cnt!=0) or (n%2==1 and zero_cnt!=1):\\n    print((0))\\nelse:\\n    ans = 1\\n    mod = 10**9+7\\n    for i in range(two):\\n        ans *= 2\\n        ans %= mod\\n    print((ans%mod))\\n\", \"MOD = 10 ** 9 + 7\\nnum = [0] * (10 ** 5 + 1)\\nN = int(input())\\nA = list(map(int,input().split()))\\nfor i in range(len(A)):\\n\\tnum[A[i]] += 1\\nif N % 2 == 1:\\n\\tfor i in range(0,N,2):\\n\\t\\tcnt = num[i]\\n\\t\\tif i == 0:\\n\\t\\t\\tif cnt != 1:\\n\\t\\t\\t\\tprint(0)\\n\\t\\t\\t\\treturn\\n\\t\\telse:\\n\\t\\t\\tif cnt != 2:\\n\\t\\t\\t\\tprint(0)\\n\\t\\t\\t\\treturn\\n\\tprint(2 ** (N // 2) % MOD)\\nelse:\\n\\tfor i in range(1,N,2):\\n\\t\\tcnt = num[i]\\n\\t\\tif cnt != 2:\\n\\t\\t\\tprint(0)\\n\\t\\t\\treturn\\n\\tprint(2 ** (N // 2) % MOD)\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\ndef f(x):\\n for i in range(x,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    return False\\n return True   \\n    \\na=True\\nif N%2==0:a=f(1)\\nelse:\\n if A[0]!=0:a=False\\n else:a=f(2)\\nprint(2**(N//2)%(10**9+7) if a else 0)\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N, *A = list(map(int, read().split()))\\n\\n    A.sort()\\n\\n    ok = True\\n    if len(A) % 2 == 0:\\n        for i in range(N // 2):\\n            if not A[2 * i] == A[2 * i + 1] == 2 * i + 1:\\n                ok = False\\n                break\\n    else:\\n        if A[0] != 0:\\n            ok = False\\n        else:\\n            for i in range(N // 2):\\n                if not A[2 * i + 1] == A[2 * i + 2] == 2 * i + 2:\\n                    ok = False\\n                    break\\n\\n    if ok:\\n        ans = pow(2, N // 2, MOD)\\n    else:\\n        ans = 0\\n\\n    print(ans)\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nA = list(map(int, input().split()))\\n\\nm = 1000000007\\n\\nA.sort()\\nif N % 2 == 0:\\n    B = list(range(1, N, 2)) * 2\\nelse:\\n    B = [0] + list(range(2, N, 2)) * 2\\nB.sort()\\n\\nif A != B:\\n    print((0))\\nelse:\\n    result = 1\\n    for i in range(N // 2):\\n        result *= 2\\n        result %= m\\n    print(result)\\n\", \"N = int(input())\\nA = [int(x) for x in input().split()]\\n\\nfrom collections import defaultdict as dd\\nDict = dd(lambda:0)\\nfor a in A:\\n    Dict[a] += 1\\n\\nif N & 1: Dict[0] += 1\\nf = (lambda:(lambda x:0 if x&1 else 2) if N&1 else (lambda x:2 if x&1 else 0))()\\nPossible = {i:f(i) for i in range(N)}\\nfor key,value in list(Dict.items()):\\n    if value != Possible[key]:\\n        print((0))\\n        return\\nelse:\\n    print((2**(N//2)%1000000007))\\n                \\n\\n\", \"import sys\\n\\n# n = 10 ** 5\\n# \\u30c7\\u30fc\\u30bf\\u8aad\\u307f\\u8fbc\\u307f\\u95a2\\u4fc2\\nn = int(input())\\n\\na = list(map(int, input().split(' ')))\\n\\nrecord = {}\\n\\npossible = True\\n\\n# \\u72b6\\u6cc1\\u304c\\u5b9f\\u73fe\\u53ef\\u80fd\\u304b\\u78ba\\u8a8d\\nfor e in a:\\n    if(e in record.keys()):\\n        record[e] += 1\\n        if(record[e] == 2):\\n            if(e == 0):\\n                possible = False\\n                break\\n        if(record[e] == 3):\\n            possible = False\\n            break\\n    else:\\n        record[e] = 1\\n\\nif(possible == False):\\n    print(0)\\n    return\\n\\nmultiCount = int(n / 2)\\n\\nprint(2 ** multiCount % (10 ** 9 + 7))\", \"import collections\\nN = int(input())\\nA = list(map(int,input().split()))\\nans = 1\\nif 0 in A:\\n    A.remove(0)\\nAcounter = collections.Counter(A)\\nfor i in Acounter.values():\\n    if i == 2:\\n        continue\\n    else:\\n        ans = 0\\n        break\\nif ans == 0:\\n    pass\\nif ans != 0:\\n    for i in range(N//2):\\n        ans = (ans * 2) % (10**9 + 7)\\nprint(ans)\", \"import sys\\nsys.setrecursionlimit(10 ** 7)\\ndef input() : return sys.stdin.readline().strip()\\ndef INT()   : return int(input())\\ndef MAP()   : return map(int,input().split())\\ndef LIST()  : return list(MAP())\\ndef NIJIGEN(H): return [list(input()) for i in range(H)]\\nmod=1000000007\\nN=INT()\\nL=LIST()\\nif N%2==0:\\n  A=range(1,N,2)\\n  B=range(1,N,2)\\nelse:\\n  A=range(0,N,2)\\n  B=range(2,N,2)\\nA,B=list(A),list(B)\\nA=A+B\\nif sorted(A)==sorted(L):\\n  print(pow(2,N//2,mod))\\nelse:\\n  print(0)\", \"n=int(input())\\na=list(map(int,input().split()))\\n\\nb=[0 for i in range(10**5+1)]\\nfor i in a:\\n  b[i]+=1\\n\\nif (n%2==0 and b[0]!=0) or (n%2==1 and b[0]!=1):\\n  print(0)\\n  return\\n\\nans=1\\nmod=10**9+7\\nfor i in b:\\n  if i==2:\\n    ans*=2\\n    ans%=mod\\n  if i>=3:\\n    print(0)\\n    return\\n\\nprint(ans)\", \"from collections import Counter\\n\\nn=int(input())\\na=list(map(int,input().split()))\\n\\nc=Counter(a)\\n\\nif (n%2==0 and c[0]!=0) or (n%2==1 and c[0]!=1):\\n  print(0)\\n  return\\n\\nans=1\\nmod=10**9+7\\nfor i in c:\\n  if c[i]==2:\\n    ans*=2\\n    ans%=mod\\n  if c[i]>=3:\\n    print(0)\\n    return\\n\\nprint(ans)\", \"from collections import Counter\\n\\nN = int(input())\\nabs_diffs = list(map(int, input().split()))\\n\\nif N % 2 == 0:\\n    expected = [i // 2 * 2  + 1 for i in range(N)]\\n    dims = N // 2\\nelse:\\n    expected = [(i + 1) // 2 * 2 for i in range(N)]\\n    dims = (N - 1) // 2\\n\\nif sorted(abs_diffs) == expected:\\n    print((2 ** dims % (10 ** 9 + 7)))\\n\\nelse:\\n    print((0))\\n\", \"n = int(input())\\nA = sorted(map(int,input().split()))\\n\\nif n % 2 == 1:\\n    ex = [0]\\n    \\n    for i in range(n//2):\\n        a = 2 * (i+1)\\n        ex += [a,a]\\n        \\nelse:\\n    ex = []\\n    a = 1\\n    \\n    for i in range(n//2):\\n        ex += [a,a]\\n        a += 2\\n        \\nans = 0\\n\\nif A == ex:\\n    ans = 2 ** (n//2) % (10**9 + 7)\\n    \\nprint(ans)\", \"n = int(input())\\na = list(map(int, input().split()))\\nmod = 10 ** 9 + 7\\nif n % 2 == 0:\\n    b = [2 if i % 2 == 1 else 0 for i in range(n)]\\nelse:\\n    b = [2 if i % 2 == 0 else 0 for i in range(n)]\\n    b[0] = 1\\nc = [0 for i in range(n)]\\nfor i in range(n):\\n    c[a[i]] += 1\\nif b != c:\\n    print(0)\\nelse:\\n    ans = 1\\n    for i in range(n // 2):\\n        ans *= 2\\n        ans %= mod\\n    print(ans)\", \"N = int(input())\\nA = sorted(list(map(int,input().split())))\\n\\nif N%2==0:\\n  B = [2*(n//2)+1 for n in range(N)]\\nelse:\\n  B = [2*(n//2) for n in range(1,N+1)]\\n\\nif A==B:\\n  print(pow(2,N//2,10**9+7))\\nelse:\\n  print(0)\", \"MOD = 10**9+7\\n\\ndef fast_pow(x, n, MOD):\\n    res = 1\\n    while n:\\n        if n & 1:\\n            res = res * x % MOD\\n        x = x * x % MOD\\n        n >>= 1\\n    return res\\n\\n\\nn = int(input())\\na = list(map(int, input().split()))\\n\\nd = {}\\nfor i in a:\\n    if n % 2:\\n        if i > 0 and i % 2:\\n            print((0))\\n            return\\n    else:\\n        if i > 0 and i % 2 == 0:\\n            print((0))\\n            return\\n\\n    if not i in d:\\n        d[i] = 1\\n    elif d[i] == 1:\\n        d[i] += 1\\n    else:\\n        print((0))\\n        return\\n\\nif n % 2:\\n    if d[0] != 1:\\n        print((0))\\n        return\\n    print((fast_pow(2, len(d)-1, MOD)))\\nelse:\\n    if 0 in d:\\n        print((0))\\n        return\\n    print((fast_pow(2, len(d), MOD)))\\n\", \"import math\\nN = int(input())\\nA = list(map(int, input().split()))\\n\\nflag = True\\nif N%2 == 0:\\n    if 0 in A or len(set(A)) != N//2:\\n        flag = False\\nelse:\\n    if len([0 for a in A if a == 0]) != 1 or len(set(A)) != N//2 + 1:\\n        flag = False\\n\\nif  flag:\\n    print((2**((N//2))%(10**9+7)))\\nelse:\\n    print((0))\\n\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\ndef f(x):\\n for i in range(x,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    return 0\\n return 1   \\n    \\na=1\\nif N%2==0:a=f(1)\\nelse: a=A[0]==0 and f(2)\\nprint(2**(N//2)%(10**9+7)*a)\", \"n = int(input())\\nA = tuple(map(int, input().split()))\\nmod = 10**9+7\\n\\nniseven = (n%2 == 0)\\n\\ncd = dict()\\nfor a in (A):\\n    cd.setdefault(a, 0)\\n    cd[a] += 1\\n    if a == 0 and cd[a] > 1:\\n        print((0))\\n        break\\n    if a > 0 and cd[a] > 2:\\n        print((0))\\n        break\\n    if (a%2==0) == niseven:\\n        print((0))\\n        break\\nelse:\\n    print((pow(2, n//2, mod)))\\n\", \"def main():\\n  N=int(input())\\n  A=list(map(int,input().split()))\\n  mod=10**9+7\\n  ans=1\\n  A.sort()\\n  if N%2==0:\\n    for i in range(0,N,2):\\n      if A[i]!=A[i+1] or A[i]!=i+1:\\n        print(0)\\n        return\\n      ans=ans*2%mod\\n    print(ans)\\n  else:\\n    if A[0]!=0:\\n      print(0)\\n      return\\n    ans=1\\n    for i in range(1,N,2):\\n      if A[i]!=A[i+1] or A[i]!=i+1:\\n        print(0)\\n        return\\n      ans=ans*2%mod\\n    print(ans)\\ndef __starting_point():\\n  main()\\n__starting_point()\", \"n = int(input())\\na = list(map(int, input().split()))\\n\\n# \\u77db\\u76fe\\u30c1\\u30a7\\u30c3\\u30af\\nfrom collections import Counter\\nc = Counter(a)\\n\\ndef check():\\n    if n&1:\\n        if c[0]!=1:\\n            return False\\n        for i in range((n-1)//2):\\n            if c[2*(i+1)] != 2:\\n                return False\\n    else:\\n        for i in range(n//2):\\n            if c[2*i+1] != 2:\\n                return False\\n    return True\\n\\nif not check():\\n    print(0)\\n    return\\n\\nprint(pow(2, n//2, 10**9+7))\", \"n = int(input())\\na = list(map(int,input().split()))\\ndic = {}\\nfor i in range(n):\\n    dic.setdefault(a[i],0)\\n    dic[a[i]] += 1\\nans = 1\\nfor key,value in dic.items():\\n    #\\u5076\\u6570\\n    if n%2==0:\\n        if n > key and key%2==1 and value==2:\\n            ans *= 2\\n        else:\\n            ans = 0\\n            break\\n    #\\u5947\\u6570\\n    else:\\n        if n > key and key%2==0:\\n            if key==0 and value==1:\\n                ans *= 1\\n            elif value==2:\\n                ans *= 2\\n            else:\\n                ans = 0\\n                break\\n        else:\\n            ans = 0\\n            break\\nprint(ans%(10**9+7))\", \"N=int(input())\\nMOD=10**9+7\\nA=[int(x) for x in input().split()]\\nflag=1#\\u305d\\u306e\\u4e26\\u3073\\u9806\\u304c\\u3042\\u308a\\u3048\\u308b\\u306a\\u30891\\u3001\\u305d\\u3046\\u3067\\u306a\\u3044\\u306a\\u30890\\nset1=set()\\nset2=set()\\nif N%2==1:\\n    set1.add(0)\\n    for j in range(2,N+1,2):\\n        set1.add(j)\\n        set2.add(j)\\n    for i in range(N):\\n        now=A[i]\\n        if now in set1:\\n            set1.remove(now)\\n        elif now in set2:\\n            set2.remove(now)\\n        else:\\n            flag=0\\n            break\\n    if len(set1)!=0 or len(set2)!=0:\\n        flag=0\\nelse:\\n    for k in range(1,N+1,2):\\n        set1.add(k)\\n        set2.add(k)\\n    for p in range(N):\\n        now=A[p]\\n        if now in set1:\\n            set1.remove(now)\\n        elif now in set2:\\n            set2.remove(now)\\n        else:\\n            flag=0\\n            break\\n    if len(set1)!=0 or len(set2)!=0:\\n        flag=0\\nif flag==0:\\n    print((0))\\nelse:\\n    ans=1\\n    div2=N//2\\n    for q in range(div2):\\n        ans*=2\\n        ans%=MOD\\n    print(ans)\\n\", \"N = int(input())\\nA = list(map(int, input().split()))\\n\\nm = 1000000007\\n\\nA.sort()\\nif N % 2 == 0:\\n    B = list(range(1, N, 2)) * 2\\nelse:\\n    B = [0] + list(range(2, N, 2)) * 2\\nB.sort()\\n\\nif A != B:\\n    print((0))\\nelse:\\n    result = 1\\n    for i in range(N // 2):\\n        result *= 2\\n        result %= m\\n    print(result)\\n\", \"from collections import Counter\\n\\nN,*A = map(int, open(0).read().split())\\nac = Counter(A)\\nif N % 2 == 0:\\n    for i in range(1,N,2):\\n        if ac[i] != 2:\\n            print(0)\\n            break\\n    else:\\n        print(pow(2,N//2,1000000007))\\nelse:\\n    if ac[0] != 1:\\n        print(0)\\n    else:\\n        for i in range(2,N,2):\\n            if ac[i] != 2:\\n                print(0)\\n                break\\n        else:\\n            print(pow(2,N//2,1000000007))\", \"n=int(input())\\na=list(map(int,input().split()))\\nif n%2==1:\\n    x=[i for i in range(n)]\\n    for i in range(n):\\n        if i%2==1:\\n            x[i]+=1\\nelse:\\n    x=[i for i in range(n)]\\n    for i in range(n):\\n        if i%2==0:\\n            x[i]+=1\\na.sort()\\nif x==a:\\n    print(pow(2,(n//2),10**9+7))\\nelse:\\n    print(0)\", \"import sys\\nfrom collections import deque\\np=10**9+7\\n\\ndef main(n,a):\\n  h=n//2\\n  g=n%2\\n  a.sort()\\n  c=[2*(x//2)+g+1 for x in range(n-g)]\\n  if g==1:\\n    c.insert(0,0)\\n  if a!=c:\\n      return 0\\n  return 2**(h%(p-1)) % p\\n\\ndef __starting_point():\\n  n=int(input())\\n  a=list(map(int,sys.stdin.readline().strip().split()))\\n  print((main(n,a)))\\n\\n__starting_point()\", \"N=int(input())\\nS=list(map(int,input().split()))\\nlenS=len(S)\\nT=[]\\nfor i in range(1,N+1):\\n    T.append(abs(i-(N+1-i)))\\n\\nT.sort()\\nS.sort()\\n\\n\\n\\nfor i in range(N):\\n    if T[i]!=S[i]:\\n        print((0))\\n        return\\n\\n\\nans=1\\nnagasa=lenS//2\\nfor i in range(nagasa):\\n    \\n    ans=(ans*2)%(10**9+7)\\n\\nprint(ans)\\n\\n\\n\", \"n = int(input())\\na = sorted(list(map(int, input().split())))\\n\\nif n%2 == 0: # \\u4eba\\u6570\\u304c\\u5076\\u6570\\u306e\\u5834\\u5408\\u306b\\u4e0d\\u6574\\u5408\\u304c\\u3042\\u308b\\u304b\\u78ba\\u8a8d\\n  for i in range(0,n,2):\\n    if a[i] != i+1 or a[i] != a[i+1]:\\n      print(0)\\n      return\\nelse: # \\u4eba\\u6570\\u304c\\u5947\\u6570\\u306e\\u5834\\u5408\\u306b\\u4e0d\\u6574\\u5408\\u304c\\u3042\\u308b\\u304b\\u78ba\\u8a8d\\n  if a[0] != 0: # \\u5dee\\u5206\\u304c0\\u5b58\\u5728\\u3057\\u3066\\u3044\\u308b\\u3053\\u3068\\u3092\\u78ba\\u8a8d\\n    print(0)\\n    return\\n  else:\\n    for i in range(1,n,2):\\n      if a[i] != i+1 or a[i] != a[i+1]:\\n        print(0)\\n        return\\n\\nans = 1\\nfor i in range(n//2):\\n  ans = ans * 2 % (10**9+7) # \\u7d44\\u307f\\u5408\\u308f\\u305b\\u3068\\u3057\\u3066\\u306f\\u540c\\u3058\\u5dee\\u5206\\u306e\\u5024\\u3092\\u5165\\u308c\\u66ff\\u3048\\u308b2\\u629e\\u306b\\u306a\\u308b\\u306e\\u3067\\u3001\\u7d50\\u679c\\u30922\\u500d\\u306b\\u3059\\u308b\\nprint(ans)\", \"N=int(input())\\n*A,=sorted(map(int,input().split()))\\n\\na=True\\nif N%2==0:\\n for i in range(1,N,2):\\n  if A[i-1]!=i or A[i]!=i:\\n    a=False\\n    break\\nelse:\\n if A[0]!=0:a=False\\n else:\\n    for i in range(2,N,2):\\n     if A[i-1]!=i or A[i]!=i:\\n        a=False\\n        break\\nprint(2**(N//2)%(10**9+7) if a else 0)\", \"import math\\nN = int(input())\\nA = list(map(int, input().split()))\\n\\nflag = True\\nif N%2 == 0:\\n    if 0 in A or len(set(A)) != N//2:\\n        flag = False\\nelse:\\n    if len([0 for a in A if a == 0]) != 1 or len(set(A)) != N//2 + 1:\\n        flag = False\\n\\nif  flag:\\n    print((2**(math.floor(N/2))%(10**9+7)))\\nelse:\\n    print((0))\\n\", \"from collections import Counter\\n\\nn = int(input())\\nA = list(map(int, input().split()))\\ncnt_A = Counter(A)\\n\\nif all([v == 2 for k, v in cnt_A.items() if k != 0]):\\n    print(pow(2, n // 2, 10**9 + 7))\\nelse:\\n    print(0)\", \"N=int(input())\\nMOD=1000000007\\nA=list(map(int,input().split()))\\ncnt=[0 for i in range(N)]\\nfor i in range(N):\\n    cnt[A[i]]+=1\\nif N%2==0:\\n    for i in range(1,N,2):\\n        if cnt[i]!=2:\\n            print((0))\\n            break\\n    else:\\n        print((2**(N//2)%MOD))\\nelse:\\n    if cnt[0]!=1:\\n        print((0))\\n    else:\\n        for i in range(2,(N+1)//2,2):\\n            if cnt[i]!=2:\\n                print((0))\\n                break\\n        else:\\n            print((2**((N-1)//2)%MOD))\\n\", \"import collections\\nimport sys\\ninput = sys.stdin.readline\\n\\nN = int(input())\\nA = list(map(int,input().split()))\\nm = 1000000007\\n\\nflag0 = 1\\ncount = 0\\n#\\u5076\\u6570\\u3060\\u3063\\u305f\\u3089\\nif N %2 ==0:\\n    colA = collections.Counter(A)\\n    for key,val in list(colA.items()):\\n        if key%2 != 1 or val != 2:\\n            flag0 = 0\\n            break\\n    for i in range(1,N,2):\\n        if i not in list(colA.keys()):\\n            flag = 0\\n            break\\n        else:\\n            count +=1\\n#\\u5947\\u6570\\u3060\\u3063\\u305f\\u3089\\nelse:\\n    A.append(0)\\n    colA = collections.Counter(A)\\n    for key,val in list(colA.items()):\\n        if key%2 != 0 or val != 2:\\n            flag0 = 0\\n            break\\n    for i in range(0,N,2):\\n        if i not in list(colA.keys()):\\n            flag = 0\\n            break\\n        else:\\n            count +=1\\n    count -=1\\n\\n\\nprint((((2**count)%m)*flag0))\\n    \\n\"]",
        "difficulty": "introductory",
        "input": "8\n7 5 1 1 7 3 5 3\n",
        "output": "16\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc050/tasks/arc066_a"
    },
    {
        "id": 271,
        "task_id": 283,
        "test_case_id": 1,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "3\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 272,
        "task_id": 283,
        "test_case_id": 2,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "4\n",
        "output": "2",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 273,
        "task_id": 283,
        "test_case_id": 3,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "10\n",
        "output": "2",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 274,
        "task_id": 283,
        "test_case_id": 4,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "153\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 275,
        "task_id": 283,
        "test_case_id": 5,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "1000\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 276,
        "task_id": 283,
        "test_case_id": 6,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "1\n",
        "output": "3",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 277,
        "task_id": 283,
        "test_case_id": 7,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "2\n",
        "output": "4",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 278,
        "task_id": 283,
        "test_case_id": 8,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "5\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 279,
        "task_id": 283,
        "test_case_id": 9,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "6\n",
        "output": "4",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 280,
        "task_id": 283,
        "test_case_id": 10,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "7\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 281,
        "task_id": 283,
        "test_case_id": 11,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "8\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 282,
        "task_id": 283,
        "test_case_id": 12,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "9\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 283,
        "task_id": 283,
        "test_case_id": 13,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "11\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 284,
        "task_id": 283,
        "test_case_id": 14,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "998\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 285,
        "task_id": 283,
        "test_case_id": 15,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "996\n",
        "output": "3",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 286,
        "task_id": 283,
        "test_case_id": 16,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "36\n",
        "output": "4",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 287,
        "task_id": 283,
        "test_case_id": 17,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "210\n",
        "output": "4",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 288,
        "task_id": 283,
        "test_case_id": 18,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "270\n",
        "output": "4",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 289,
        "task_id": 283,
        "test_case_id": 19,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "306\n",
        "output": "4",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 290,
        "task_id": 283,
        "test_case_id": 20,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "330\n",
        "output": "5",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 291,
        "task_id": 283,
        "test_case_id": 21,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "336\n",
        "output": "4",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 292,
        "task_id": 283,
        "test_case_id": 22,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "600\n",
        "output": "4",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 293,
        "task_id": 283,
        "test_case_id": 23,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "726\n",
        "output": "4",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 294,
        "task_id": 283,
        "test_case_id": 24,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "988\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 295,
        "task_id": 283,
        "test_case_id": 25,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "12\n",
        "output": "2",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 296,
        "task_id": 283,
        "test_case_id": 26,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "987\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 297,
        "task_id": 283,
        "test_case_id": 27,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "13\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 298,
        "task_id": 283,
        "test_case_id": 28,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "986\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 299,
        "task_id": 283,
        "test_case_id": 29,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "14\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 300,
        "task_id": 283,
        "test_case_id": 30,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "985\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 301,
        "task_id": 283,
        "test_case_id": 31,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "15\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 302,
        "task_id": 283,
        "test_case_id": 32,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "984\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 303,
        "task_id": 283,
        "test_case_id": 33,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "16\n",
        "output": "2",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 304,
        "task_id": 283,
        "test_case_id": 34,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "983\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 305,
        "task_id": 283,
        "test_case_id": 35,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "17\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 306,
        "task_id": 283,
        "test_case_id": 36,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "982\n",
        "output": "2",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 307,
        "task_id": 283,
        "test_case_id": 37,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "18\n",
        "output": "3",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 308,
        "task_id": 283,
        "test_case_id": 38,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "981\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 309,
        "task_id": 283,
        "test_case_id": 39,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "19\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 310,
        "task_id": 283,
        "test_case_id": 40,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "980\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 311,
        "task_id": 283,
        "test_case_id": 41,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "20\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 312,
        "task_id": 283,
        "test_case_id": 42,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "979\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 313,
        "task_id": 283,
        "test_case_id": 43,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "21\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 314,
        "task_id": 283,
        "test_case_id": 44,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "978\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 315,
        "task_id": 283,
        "test_case_id": 45,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "22\n",
        "output": "2",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 316,
        "task_id": 283,
        "test_case_id": 46,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "977\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 317,
        "task_id": 283,
        "test_case_id": 47,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "23\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 318,
        "task_id": 283,
        "test_case_id": 48,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "976\n",
        "output": "2",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 319,
        "task_id": 283,
        "test_case_id": 49,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "24\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 320,
        "task_id": 283,
        "test_case_id": 50,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "975\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 321,
        "task_id": 283,
        "test_case_id": 51,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "25\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 322,
        "task_id": 283,
        "test_case_id": 52,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "2\n",
        "output": "4",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 323,
        "task_id": 283,
        "test_case_id": 53,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "6\n",
        "output": "4",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 324,
        "task_id": 283,
        "test_case_id": 54,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "996\n",
        "output": "3",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 325,
        "task_id": 283,
        "test_case_id": 55,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "8\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 326,
        "task_id": 283,
        "test_case_id": 56,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "998\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 327,
        "task_id": 283,
        "test_case_id": 57,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "330\n",
        "output": "5",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 328,
        "task_id": 283,
        "test_case_id": 58,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "18\n",
        "output": "3",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 329,
        "task_id": 283,
        "test_case_id": 59,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "12\n",
        "output": "2",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 330,
        "task_id": 283,
        "test_case_id": 60,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "24\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 331,
        "task_id": 283,
        "test_case_id": 61,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "999\n",
        "output": "1",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 332,
        "task_id": 283,
        "test_case_id": 62,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "726\n",
        "output": "4",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 333,
        "task_id": 283,
        "test_case_id": 63,
        "question": "PolandBall is a young, clever Ball. He is interested in prime numbers. He has stated a following hypothesis: \"There exists such a positive integer n that for each positive integer m number n·m + 1 is a prime number\".\n\nUnfortunately, PolandBall is not experienced yet and doesn't know that his hypothesis is incorrect. Could you prove it wrong? Write a program that finds a counterexample for any n.\n\n\n-----Input-----\n\nThe only number in the input is n (1 ≤ n ≤ 1000) — number from the PolandBall's hypothesis. \n\n\n-----Output-----\n\nOutput such m that n·m + 1 is not a prime number. Your answer will be considered correct if you output any suitable m such that 1 ≤ m ≤ 10^3. It is guaranteed the the answer exists.\n\n\n-----Examples-----\nInput\n3\n\nOutput\n1\nInput\n4\n\nOutput\n2\n\n\n-----Note-----\n\nA prime number (or a prime) is a natural number greater than 1 that has no positive divisors other than 1 and itself.\n\nFor the first sample testcase, 3·1 + 1 = 4. We can output 1.\n\nIn the second sample testcase, 4·1 + 1 = 5. We cannot output 1 because 5 is prime. However, m = 2 is okay since 4·2 + 1 = 9, which is not a prime number.",
        "solutions": "[\"def prime(x):\\n    if x < 2:\\n        return False\\n    if x == 2:\\n        return True\\n    if x % 2 == 0:\\n        return False\\n\\n    for d in range(3, x, 2):\\n        if d * d > x:\\n            break\\n        if x % d == 0:\\n            return False\\n\\n    return True\\n\\ndef main():\\n    n = int(input())\\n    for m in range(1, 1001):\\n        if not prime(n * m + 1):\\n            ans = m\\n            break\\n\\n    print(ans)\\n\\nmain()\\n\", \"n = int(input())\\ndef ispr(m):\\n\\ti = 2\\n\\twhile i * i <= m:\\n\\t\\tif m % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\nfor i in range(1, 1001):\\n\\tif not ispr(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\treturn\", \"def not_pr(x):\\n    return sum(x % i == 0 for i in range(2, x)) != 0\\n\\nread = lambda: map(int, input().split())\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not_pr(n * m + 1):\\n        print(m)\\n        return\", \"def is_prime(n):\\n\\ti = 2\\n\\twhile i * i <= n:\\n\\t\\tif n % i == 0:\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\nn = int(input())\\nfor i in range(1, 1001):\\n\\tif not is_prime(n * i + 1):\\n\\t\\tprint(i)\\n\\t\\tbreak\\n\", \"def prime(n):\\n\\ti = 2\\n\\twhile (i * i <= n):\\n\\t\\tif (n % i == 0):\\n\\t\\t\\treturn False\\n\\t\\ti += 1\\n\\treturn True\\n\\ndef main(n):\\n\\tm = 1\\n\\twhile(True):\\n\\t\\tif (not prime(m * n + 1)):\\n\\t\\t\\tprint(m)\\n\\t\\t\\treturn\\n\\t\\tm += 1\\n\\n\\nmain(int(input()))\", \"\\ndef primesSieve(limit):\\n    def internalPrimesSieve(limit):\\n        a = [True] * limit # Initialize the primality list\\n        a[0] = a[1] = False\\n\\n        for (i, isprime) in enumerate(a):\\n            if isprime:\\n                yield i\\n                for n in range(i*i, limit, i): # Mark factors non-prime\\n                    a[n] = False\\n    return [p for p in internalPrimesSieve(limit)]\\n\\nn = int(input())\\nprimes = primesSieve(1000002)\\nfor i in range(1,1001):\\n    if n*i + 1 not in primes:\\n        print(i)\\n        break\\n\", \"3\\n\\ndef is_prime(x):\\n    if x == 1:\\n        return False\\n    i = 2\\n    while i * i <= x:\\n        if x % i == 0:\\n            return False\\n        i += 1\\n    return True\\n\\n\\nn = int(input())\\nm = 1\\nwhile is_prime(n * m + 1):\\n    m += 1\\nprint(m)\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    import itertools\\n\\n    def is_prime(x):\\n        if x == 2:\\n            return True\\n        if x & 0x1 == 0:\\n            return False\\n        i = 3\\n        while i * i <= x:\\n            if x % i == 0:\\n                return False\\n            i += 2\\n        return True\\n\\n    try:\\n        while True:\\n            n = int(input())\\n            for m in itertools.count(1):\\n                if not is_prime(n * m + 1):\\n                    print(m)\\n                    break\\n\\n    except EOFError:\\n        pass\\n\\nmain()\\n\", \"n = int(input())\\n\\ndef yes(x):\\n\\tif (x < 3):\\n\\t\\treturn 0\\n\\telse:\\n\\t\\tfor y in range(2,x):\\n\\t\\t\\tif (x%y == 0):\\n\\t\\t\\t\\treturn 1\\n\\t\\treturn 0\\n\\n\\nfor m in range(1,1001):\\n\\tif yes(n*m+1):\\n\\t\\tprint(m)\\n\\t\\tbreak\", \"n = int(input())\\n\\ndef isPrime(x):\\n    for j in range(2,round(x**0.5)+1):\\n        if not x%j: return False\\n    return True\\n\\nfor m in range(1,1000):\\n    if not isPrime(m*n+1):\\n        print(m)\\n        break\", \"from math import sqrt\\nn=int(input())\\na=0\\nm=0\\nwhile True:\\n    m+=1\\n    a=n*m+1\\n    for i in range(2,int(sqrt(a)+1)):\\n        if a%i==0:\\n            print(m)\\n            return\\n\", \"import math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,100):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"import math\\n\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\n\\nn = int(input())\\nm = 1\\n\\nwhile (is_prime((n*m)+1)):\\n\\tm+=1\\nprint(m)\", \"#autor @ShymCoder\\nimport math\\ndef is_prime(n):\\n    if n % 2 == 0 and n > 2: \\n        return False\\n    return all(n % i for i in range(3, int(math.sqrt(n)) + 1, 2))\\nn=int(input())\\nfor i in range(1,1001):\\n    if not is_prime(n*i+1):\\n        print(i)\\n        break\\n\", \"n=int(input())\\n\\nflag=True\\n\\nm=1\\na=[True]*1000001\\na[1]=False\\n\\nfor i in range(2,len(a)):\\n    if a[i]:\\n        for j in range(2*i,len(a),i):\\n            a[j]=False\\n\\nwhile flag:\\n    if a[m*n+1]==False:\\n        flag=False\\n        print(m)\\n    else:\\n        m+=1\\n\", \"def prime(x):\\n    for i in range(2, 1001):\\n        if x % i == 0 and i != x:\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor m in range(1, 1001):\\n    if not prime(n * m + 1):\\n        print(m)\\n        return\\n\", \"\\n\\nisp = [True]*(10**6+8)\\nisp[0] = isp[1] = False\\n\\ni = 2\\nN = 10**6 + 7\\nwhile i*i <= N :\\n\\tif isp[i] : \\n\\t\\tfor j in range(i*i , N+1 , i  ) : \\n\\t\\t\\tisp[j] = False\\n\\ti += 1\\nn = int(input())\\nfor m in range(1,1001) : \\n\\tif not isp[n*m + 1] :\\n\\t\\tprint(m)\\n\\t\\tbreak\\n\", \"#!/usr/bin/env pypy3\\n# -*- coding: UTF-8 -*-\\nimport sys\\nimport re\\nimport math\\nimport itertools\\nimport collections\\nimport bisect\\n#sys.stdin=file('input.txt')\\n#sys.stdout=file('output.txt','w')\\n#10**9+7\\nmod=1000000007\\n#mod=1777777777\\npi=3.1415926535897932\\nIS=float('inf')\\nxy=[(1,0),(-1,0),(0,1),(0,-1)]\\nbs=[(-1,-1),(-1,1),(1,1),(1,-1)]\\ndef niten(a,b): return abs(a-b) if a>=0 and b>=0 else  a+abs(b) if a>=0 else abs(a)+b if b>=0 else abs(abs(a)-abs(b))\\ndef fib(n): return [(seq.append(seq[i-2] + seq[i-1]), seq[i-2])[1] for seq in [[0, 1]] for i in range(2, n)]\\ndef gcd(a,b): return a if b==0 else gcd(b,a%b)\\ndef lcm(a,b): return a*b/gcd(a,b)\\ndef eucl(x1,y1,x2,y2): return ((x1-x2)**2+(y1-y2)**2)**0.5\\ndef choco(xa,ya,xb,yb,xc,yc,xd,yd): return 1 if abs((yb-ya)*(yd-yc)+(xb-xa)*(xd-xc))<1.e-10 else 0\\ndef pscl(num,l=[1]):\\n    for i in range(num):\\n        l = map(lambda x,y:x+y,[0]+l,l+[0])\\n    return l\\n\\ndef prime_t(t):\\n    i=2\\n    while i**2<=t:\\n        if t%i==0:\\n            return 0\\n        i+=1\\n    return 1\\n\\nl=[]\\nfor i in range(2,10000):\\n    if prime_t(i):\\n        l.append(i)\\n\\nn=int(input())\\nfor i in range(1,1001):\\n    if (n*i+1) not in l:\\n        print(i)\\n        return\", \"import math\\n\\n\\ndef check(n):\\n    q = int(math.sqrt(n))\\n    for i in range(2, q + 1):\\n        if not (n % i):\\n            return False\\n    return True\\n\\n\\nn = int(input())\\nfor i in range(1, 1000):\\n    if not check(n * i + 1):\\n        print(i)\\n        break\"]",
        "difficulty": "interview",
        "input": "876\n",
        "output": "3",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/755/A"
    },
    {
        "id": 334,
        "task_id": 452,
        "test_case_id": 1,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "9 4\n2\n2 4\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 335,
        "task_id": 452,
        "test_case_id": 2,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "9 4\n3\n2 3 1\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 336,
        "task_id": 452,
        "test_case_id": 3,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "9 4\n3\n1 2 4\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 337,
        "task_id": 452,
        "test_case_id": 4,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "39088169 24157817\n36\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 338,
        "task_id": 452,
        "test_case_id": 5,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "39088169 24157817\n36\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 339,
        "task_id": 452,
        "test_case_id": 6,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "61305790721611591 37889062373143906\n80\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 340,
        "task_id": 452,
        "test_case_id": 7,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "61305790721611591 37889062373143906\n80\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 341,
        "task_id": 452,
        "test_case_id": 8,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "565049485241691020 228217260073568804\n40\n2 2 9 1 7 1 2 1 2 1 1 1 9 1 2 1 9 1 3 2 3 10 13 2 1 2 7 1 1 2 2 2 1 1 2 1 6 5 3 2\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 342,
        "task_id": 452,
        "test_case_id": 9,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "2 1\n4\n2 1 1 1\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 343,
        "task_id": 452,
        "test_case_id": 10,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "4 1\n2\n3 1\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 344,
        "task_id": 452,
        "test_case_id": 11,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "72723460248141 1597\n1\n45537545554\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 345,
        "task_id": 452,
        "test_case_id": 12,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "14930352 13\n6\n1148488 1 1 1 1 2\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 346,
        "task_id": 452,
        "test_case_id": 13,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "86267571272 102334155\n6\n842 1 841 1 842 145\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 347,
        "task_id": 452,
        "test_case_id": 14,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "72723460248141 121393\n7\n599074578 122 1 122 2 1 2\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 348,
        "task_id": 452,
        "test_case_id": 15,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "168455988218483660 53310571951833359\n32\n3 6 3 1 14 1 48 1 3 2 1 1 39 2 1 3 13 23 4 1 11 1 1 23 1 3 3 2 1 1 1 3\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 349,
        "task_id": 452,
        "test_case_id": 16,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "382460255113156464 275525972692563593\n37\n1 2 1 1 2 1 3 4 5 5 1 4 2 1 1 1 4 2 2 1 2 1 1 2 3 3 1 2 2 50 4 1 4 2 5 109 8\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 350,
        "task_id": 452,
        "test_case_id": 17,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "1000000000000000000 1\n1\n1000000000000000000\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 351,
        "task_id": 452,
        "test_case_id": 18,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "362912509915545727 266073193475139553\n30\n1 2 1 2 1 25 75 1 14 6 6 9 1 1 1 1 210 2 2 2 5 2 1 3 1 1 13 3 14 3\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 352,
        "task_id": 452,
        "test_case_id": 19,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "933329105990871495 607249523603826772\n33\n1 1 1 6 3 1 5 24 3 55 1 15 2 2 1 12 2 2 3 109 1 1 4 1 4 1 7 2 4 1 3 3 2\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 353,
        "task_id": 452,
        "test_case_id": 20,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "790637895857383456 679586240913926415\n40\n1 6 8 2 1 2 1 7 2 4 1 1 1 10 1 10 1 4 1 4 41 1 1 7 1 1 2 1 2 4 1 2 1 63 1 2 1 1 4 3\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 354,
        "task_id": 452,
        "test_case_id": 21,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "525403371166594848 423455864168639615\n38\n1 4 6 1 1 32 3 1 14 1 3 1 2 4 5 4 1 2 1 5 8 1 3 1 2 1 46 1 1 1 3 1 4 1 11 1 2 4\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 355,
        "task_id": 452,
        "test_case_id": 22,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "1 1\n1\n1\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 356,
        "task_id": 452,
        "test_case_id": 23,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "2 1\n2\n1 2\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 357,
        "task_id": 452,
        "test_case_id": 24,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "531983955813463755 371380136962341468\n38\n1 2 3 4 1 37 1 12 1 3 2 1 6 3 1 7 3 2 8 1 2 1 1 7 1 1 1 7 1 47 2 1 3 1 1 5 1 2\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 358,
        "task_id": 452,
        "test_case_id": 25,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "32951280099 987\n7\n33385288 1 5 1 5 1 6\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 359,
        "task_id": 452,
        "test_case_id": 26,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "6557470319842 86267571272\n6\n76 76 76 76 76 76\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 360,
        "task_id": 452,
        "test_case_id": 27,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "934648630114363087 6565775686518446\n31\n142 2 1 5 2 2 1 1 3 1 2 8 1 3 12 2 1 23 5 1 10 1 863 1 1 1 2 1 14 2 3\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 361,
        "task_id": 452,
        "test_case_id": 28,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "61305790721611591 37889062373143906\n81\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 362,
        "task_id": 452,
        "test_case_id": 29,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "4 1\n1\n4\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 363,
        "task_id": 452,
        "test_case_id": 30,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "500000000000000001 5\n2\n100000000000000000 5\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 364,
        "task_id": 452,
        "test_case_id": 31,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "1000000000000000000 3\n3\n3 4 5\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 365,
        "task_id": 452,
        "test_case_id": 32,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "822981258385599125 28316248989464296\n39\n29 15 1 1 1 4 4 4 1 3 1 5 12 1 1 1 1 1 6 5 2 1 11 1 1 26 1 2 2 2 14 1 1 1 3 2 4 1 1\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 366,
        "task_id": 452,
        "test_case_id": 33,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "823443107025550834 331822464812968648\n42\n2 2 13 14 4 4 1 1 1 1 2 1 1 1 1 113 1 1 8 1 1 1 1 2 2 1 15 1 5 1 1 2 1 1 1 14 4 3 1 5 1 1\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 367,
        "task_id": 452,
        "test_case_id": 34,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "226137305050296073 27076290603746056\n30\n8 2 1 5 3 67 2 1 6 1 2 1 5 1 11 8 43 2 1 7 1 95 2 3 1 11 5 2 1 1\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 368,
        "task_id": 452,
        "test_case_id": 35,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "524928871965838747 313083111434773473\n35\n1 1 2 10 1 4 12 3 28 1 23 1 1 1 4 1 4 3 1 3 2 3 1 4 3 1 3 2 3 11 21 1 35 1 1\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 369,
        "task_id": 452,
        "test_case_id": 36,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "633468529243155234 4\n90\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 370,
        "task_id": 452,
        "test_case_id": 37,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "742143496299253703 2\n90\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 371,
        "task_id": 452,
        "test_case_id": 38,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "550736960584023286 3\n90\n1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 372,
        "task_id": 452,
        "test_case_id": 39,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "2 1\n10\n99999999999999999 99999999999999999 99999999999999999 99999999999999999 99999999999999999 99999999999999999 99999999999999999 99999999999999999 99999999999999999 99999999999999999\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 373,
        "task_id": 452,
        "test_case_id": 40,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "262882295792523313 105000000000078855\n1\n105000000000078855\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 374,
        "task_id": 452,
        "test_case_id": 41,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "990130967049151695 166430169817556175\n1\n564668656008429569\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 375,
        "task_id": 452,
        "test_case_id": 42,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "9 4\n2\n2 3\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 376,
        "task_id": 452,
        "test_case_id": 43,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "529824479480396864 4705882352941177\n2\n80000000000000007 80000000000000009\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 377,
        "task_id": 452,
        "test_case_id": 44,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "985625905209512860 565433601688714177\n10\n6423 24947 27507 13031 16414 29169 901 32592 18763 1656\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 378,
        "task_id": 452,
        "test_case_id": 45,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "913255926290448385 4400000000\n2\n4400000000 4400000000\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 379,
        "task_id": 452,
        "test_case_id": 46,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "7 2\n2\n2 1\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 380,
        "task_id": 452,
        "test_case_id": 47,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "10 3\n1\n3\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 381,
        "task_id": 452,
        "test_case_id": 48,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "4 2\n1\n2\n",
        "output": "YES\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 382,
        "task_id": 452,
        "test_case_id": 49,
        "question": "A continued fraction of height n is a fraction of form $a_{1} + \\frac{1}{a_{2} + \\frac{1}{\\ldots + \\frac{1}{a_{n}}}}$. You are given two rational numbers, one is represented as [Image] and the other one is represented as a finite fraction of height n. Check if they are equal.\n\n\n-----Input-----\n\nThe first line contains two space-separated integers p, q (1 ≤ q ≤ p ≤ 10^18) — the numerator and the denominator of the first fraction.\n\nThe second line contains integer n (1 ≤ n ≤ 90) — the height of the second fraction. The third line contains n space-separated integers a_1, a_2, ..., a_{n} (1 ≤ a_{i} ≤ 10^18) — the continued fraction.\n\nPlease, do not use the %lld specifier to read or write 64-bit integers in С++. It is preferred to use the cin, cout streams or the %I64d specifier.\n\n\n-----Output-----\n\nPrint \"YES\" if these fractions are equal and \"NO\" otherwise.\n\n\n-----Examples-----\nInput\n9 4\n2\n2 4\n\nOutput\nYES\n\nInput\n9 4\n3\n2 3 1\n\nOutput\nYES\n\nInput\n9 4\n3\n1 2 4\n\nOutput\nNO\n\n\n\n-----Note-----\n\nIn the first sample $2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the second sample $2 + \\frac{1}{3 + \\frac{1}{1}} = 2 + \\frac{1}{4} = \\frac{9}{4}$.\n\nIn the third sample $1 + \\frac{1}{2 + \\frac{1}{4}} = \\frac{13}{9}$.",
        "solutions": "[\"#!/usr/bin/env python3\\n\\nfrom fractions import Fraction\\n\\ndef __starting_point():\\n    p, q = list(map(int, input().split()))\\n    n = int(input())\\n    l = list(map(int, input().split()))\\n\\n    f = Fraction(l[-1], 1)\\n\\n    for x in l[-2::-1]:\\n        f = 1 / f\\n        f += x\\n\\n    print([\\\"NO\\\", \\\"YES\\\"][f == Fraction(p, q)])\\n\\n\\n\\n__starting_point()\", \"from  fractions import *\\np,q  = map(int,input().split())\\na1 = Fraction(p,q)\\nn = int(input())\\naaa = list(map(int,input().split()))\\nd2 = Fraction(aaa[-1],1)\\nfor i in range(2,n+1):\\n    d2 = 1/d2+aaa[-i]\\n#print (d2)\\nprint(\\\"YES\\\" if a1 == d2 else \\\"NO\\\")\", \"from fractions import Fraction\\npq = Fraction(*map(int, input().split()))\\ninput()\\na = list(map(int, input().split()))\\na.reverse()\\nf = Fraction(a[0], 1)\\nfor i in a[1:]:\\n  f = i + Fraction(1, f)\\nif pq == f:\\n  print(\\\"YES\\\")\\nelse:\\n  print(\\\"NO\\\")\", \"from fractions import*\\nfrom sys import*\\nfrom copy import*\\nfrom time import*\\n\\n\\nclass Fraction:\\n    def __init__(self, x = 0, y = 1):\\n        if(type(x) == str):\\n            if x.find('/') != -1:\\n                a = list(map(int, x.split('/')))\\n            else:\\n                a = list(map(int, x.split()))\\n            self.num = a[0]\\n            if len(a) == 1:\\n                self.den = 1\\n            else:\\n                self.den = a[1]\\n        elif(type(x) == Fraction):\\n            self.num, self.den = x.num, x.den\\n        else:\\n            self.num, self.den = x, y\\n        self.reduce()\\n\\n    def __str__(self):\\n        if self.den == 1:\\n            return str(int(self.num))\\n        return str(int(self.num)) + '/' + str(int(self.den))\\n\\n    def reduce(self):\\n        d = gcd(abs(self.num), abs(self.den))\\n        if self.den < 0:\\n            self.den, self.num = -self.den, -self.num\\n        self.num, self.den = self.num // d, self.den // d\\n\\n    def __lt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den < other.num * self.den\\n        else:\\n            return self.num < self.den * other\\n\\n    def __le__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den <= other.num * self.den\\n        else:\\n            return self.num <= self.den * other\\n\\n    def __gt__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den > other.num * self.den\\n        else:\\n            return self.num > self.den * other\\n\\n    def __ge__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den >= other.num * self.den\\n        else:\\n            return self.num >= self.den * other\\n\\n    def __eq__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den == other.num * self.den\\n        else:\\n            return self.num == self.den * other\\n\\n    def __ne__(self, other):\\n        if type(other) == Fraction:\\n            return self.num * other.den != other.num * self.den\\n        else:\\n            return self.num != self.den * other\\n\\n    def __mul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def rmul(self, other):\\n        return other * self\\n\\n    def __rmul__(self, other):\\n        if(type(other) == float):\\n            return (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.num, self.den * other.den)\\n\\n    def __imul__(self, other):\\n        if(type(other) == float):\\n            self = (self.num * other) / self.den\\n        else:\\n            other = Fraction(other)\\n            self.num *= other.num\\n            self.den *= other.den\\n            self.reduce()\\n        return self\\n\\n    def __truediv__(self, other):\\n        if(type(other) == float):\\n            return self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            return self * Fraction(other.den, other.num)\\n\\n    def __rtruediv__(self, other):\\n        if(type(self) == float):\\n            return other.num / (other.den * self)\\n        else:\\n            self = Fraction(self)\\n            return other * Fraction(self.den, self.num)\\n\\n    def __itruediv__(self, other):\\n        if(type(other) == float):\\n            self = self.num / (self.den * other)\\n        else:\\n            other = Fraction(other)\\n            self = self * Fraction(other.den, other.num)\\n            self.reduce()\\n        return self\\n\\n    def __pow__(self, other):\\n        if type(other) == Fraction:\\n            return (self.num / self.den) ** (other.num / other.den)\\n        elif type(other) == int:\\n            if other > 0:\\n                return Fraction(self.num ** other, self.den ** other)\\n            else:\\n                return 1 / Fraction(self.num ** (-other), self.den ** (-other))\\n        else:\\n            return (self.num / self.den) ** other\\n\\n    def __rpow__(self, other):\\n        return other ** (self.num / self.den)\\n\\n    def __ipow__(self, other):\\n        if other > 0:\\n            self.num **= other\\n            self.den **= other\\n        else:\\n            self.num **= (-other)\\n            self.den **= (-other)\\n            self.num, self.den = self.den, self.num\\n        return self\\n\\n    def __add__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den + other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den + other.num * self.den, self.den * other.den)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den + other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den + other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __sub__(self, other):\\n        if type(other) == float:\\n            return self.num / self.den - other\\n        elif type(other) == Poly:\\n            return NotImplemented\\n        else:\\n            other = Fraction(other)\\n            return Fraction(self.num * other.den - other.num * self.den, self.den * other.den)\\n\\n    def __rsub__(self, other):\\n        if(type(self - other) == Fraction):\\n            return Fraction(-(self - other).num, (self - other).den)\\n        else:\\n            return -(self - other)\\n\\n    def __isub__(self, other):\\n        if type(other) == float:\\n            self = self.num / self.den - other\\n        else:\\n            other = Fraction(other)\\n            self.num = self.num * other.den - other.num * self.den\\n            self.den = self.den * other.den\\n            self.reduce()\\n        return self\\n\\n    def __pos__(self):\\n        return self\\n\\n    def __neg__(self):\\n        return Fraction(-self.num, self.den)\\n\\n    def __abs__(self):\\n        return Fraction((-self.num) * int(self.num < 0) + (self.num) * (self.num >= 0), self.den)\\n\\n    def __int__(self):\\n        return self.num // self.den\\n\\n    def __float__(self):\\n        return self.num / self.den\\n\\n    def __round__(self, x = 0):\\n        return round(float(self), x)\\n\\n\\nclass Poly:\\n    def __init__(self, s = 0):\\n        if type(s) in [int, float, Fraction]:\\n            self.list = [s]\\n        elif type(s) == str:\\n            self.list, s = [], s.split()\\n            for elem in S:\\n                self.list += eval(elem)\\n        elif type(s) == Poly:\\n            self.list = s.list\\n        else:\\n            self.list = list(s)\\n\\n    def __str__(self):\\n        P, S, power, first = [chr(8304), chr(185), chr(178), chr(179)] + [chr(i) for i in range(8308, 8314)], \\\"\\\", len(self.list) - 1, True\\n        for i in range(len(self.list) - 1, -1, -1):\\n            current = self.list[i]\\n            if current != 0:\\n                if current > 0:\\n                    S += \\\" + \\\" * int(not first)\\n                else:\\n                    S += \\\" - \\\" * int(not first) + \\\"-\\\" * int(first)\\n                current = abs(current)\\n                if current != 1 or (current == 1 and power == 0):\\n                    if type(current) == Fraction:\\n                        if current.den == 1:\\n                            S += str(int(current.num))\\n                        else:\\n                            S += \\\"(\\\" + str(current) + \\\")\\\"\\n                    elif type(current) == float:\\n                        S += str(round(current, 3))\\n                    else:\\n                        S += str(current)\\n                S += ('x' * (power != 0))\\n                for elem in str(power):\\n                    S += P[int(elem)] * (not(elem in [\\\"0\\\", \\\"1\\\"] and len(str(power)) == 1))\\n                first = len(S) == 0\\n            power -= 1\\n        if S == \\\"\\\":\\n            return \\\"0\\\"\\n        return S\\n\\n    def __neg__(self):\\n        result = []\\n        for elem in self.list:\\n            result.append(-elem)\\n        return Poly(result)\\n\\n    def __add__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] + other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] + other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __radd__(self, other):\\n        return self + other\\n\\n    def __iadd__(self, other):\\n        self.list = (self + other).list\\n        return self\\n\\n    def __sub__(self, other):\\n        result = []\\n        if type(other) == Poly:\\n            for i in range(max(len(self.list), len(other.list))):\\n                if i < len(self.list):\\n                    if i < len(other.list):\\n                        result.append(self.list[i] - other.list[i])\\n                    else:\\n                        result.append(self.list[i])\\n                else:\\n                    if i < len(other.list):\\n                        result.append(-other.list[i])\\n                    else:\\n                        result.append(0)\\n            return Poly(result)\\n        else:\\n            lolka = [self.list[0] - other] + self.list[1:]\\n            return Poly(lolka)\\n\\n    def __rsub__(self, other):\\n        return -(self - other)\\n\\n    def __isub__(self, other):\\n        self.list = (self - other).list\\n        return self\\n\\n    def __or__(self, other):\\n        if len(self.list) == 1:\\n            return self.list[0]\\n        result = self.list[len(self.list) - 1]\\n        for i in range(len(self.list) - 2, -1, -1):\\n            result = result * other + self.list[i]\\n        return result\\n\\n    def __mul__(self, other):\\n        result, p = [], Poly(other)\\n        for i in range(len(self.list)):\\n            for j in range(len(p.list)):\\n                if len(result) > i + j:\\n                    result[i + j] += self.list[i] * p.list[j]\\n                else:\\n                    result += [0] * (i + j - len(result)) + [self.list[i] * p.list[j]]\\n        return Poly(result)\\n\\n    def __rmul__(self, other):\\n        return self * other\\n\\n    def __imul__(self, other):\\n        self.list = (self * other).list\\n        return self\\n\\n    def __pow__(self, other):\\n        if other == 0:\\n            return Poly(1)\\n        if other % 2 == 1:\\n            return Poly((self ** (other - 1)) * self)\\n        else:\\n            lolka = self ** (other // 2)\\n            return Poly(lolka * lolka)\\n\\n    def __ipow__(self, other):\\n        self.list = (self ** other).list\\n        return self\\n\\n    def __divmod__(self, other):\\n        result = [0] * 100\\n        p = deepcopy(self.list)\\n        q = Poly(other).list\\n        power1, power2 = len(p) - 1, len(q) - 1\\n        while(power1 > -1 and p[power1] == 0):\\n            power1 -= 1\\n        while(power2 > -1 and q[power2] == 0):\\n            power2 -= 1\\n        while(power1 > -1 and power2 > -1 and power1 >= power2):\\n            minus = [0] * (power1 - power2)\\n            if type(p[power1]) == int and type(q[power2]) == int:\\n                if p[power1] % q[power2] == 0:\\n                    current = p[power1] // q[power2]\\n                else:\\n                    current = Fraction(p[power1], q[power2])\\n            else:\\n                current = p[power1] / q[power2]\\n            for elem in q:\\n                minus += [elem * current]\\n            for i in range(max(len(p), len(minus))):\\n                if i < len(p):\\n                    if i < len(minus):\\n                        p[i] -= minus[i]\\n                else:\\n                    if i < len(minus):\\n                        p.append(-minus[i])\\n                    else:\\n                        p.append(0)\\n            result[power1 - power2] = current\\n            while(power1 > -1 and p[power1] == 0):\\n                power1 -= 1\\n            while(power2 > -1 and q[power2] == 0):\\n                power2 -= 1\\n            #result += [current]\\n        return (Poly(result), Poly(p))\\n\\n    def __rdivmod__(self, other):\\n        return  divmod(Poly(other), self)\\n\\n    def __floordiv__(self, other):\\n        return divmod(self, other)[0]\\n\\n    def __rfloordiv__(self, other):\\n        return divmod(Poly(other), self)[0]\\n\\n    def __ifloordiv__(self, other):\\n        self.list = (divmod(self, other)[0]).list\\n        return self\\n\\n    def __mod__(self, other):\\n        return divmod(self, other)[1]\\n\\n    def __rmod__(self, other):\\n        return divmod(Poly(other), self)[1]\\n\\n    def __imod__(self, other):\\n        self.list = (divmod(self, other)[1]).list\\n        return self\\n\\n#begin = time()\\np, q = list(map(int, input().split()))\\nlolka = Fraction(p, q)\\nn = int(input())\\nA = list(map(int, input().split()))\\nAnswer = Fraction(A[-1])\\nfor i in range(len(A) - 2, -1, -1):\\n    Answer = 1 / Answer\\n    Answer += A[i]\\nif(Answer == lolka):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n#print(time() - begin)\\n\\n\", \"p,q=tuple(map(int,input().split()))\\nn1=input().split()\\nn=int(n1[0])\\na=list(map(int,input().split()))\\nx=1\\ny=a[n-1]\\nfor i in range (n-2,-1,-1):\\n   x1=a[i]*y+x\\n   x=y\\n   y=x1\\nif p*x==q*y:\\n   print('YES')\\nelse:\\n   print('NO')\\n   \\n\", \"#!/usr/local/bin/python3.3 -tt\\n\\nimport fractions\\nimport sys\\n\\n\\ndef __starting_point():\\n    def _(f):\\n        for l in f:\\n            for i in l.split():\\n                yield int(i)\\n\\n    g = _(sys.stdin)\\n\\n    pq = fractions.Fraction(next(g), next(g))\\n\\n    n, a = next(g), []\\n\\n    for i in range(n):\\n        a.append(next(g))\\n\\n    r = fractions.Fraction(a.pop())\\n\\n    while a:\\n        r = fractions.Fraction(a.pop()) + fractions.Fraction(1, r)\\n\\n    if r == pq:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\n__starting_point()\", \"3\\n\\ndef gcd(a, b):\\n\\tif b == 0:\\n\\t\\treturn a\\n\\treturn gcd(b, a % b)\\n\\ndef red(pr):\\n\\ta, b = pr\\n\\tg = gcd(a, b)\\n\\treturn (a // g, b // g)\\n\\ndef rev(pr):\\n\\ta, b = pr\\n\\treturn (b, a)\\n\\ndef add(pr, i):\\n\\ta, b = pr\\n\\ta += b * i\\n\\treturn red((a, b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nargs = args[2:]\\nn = args[0]\\nargs = args[1:]\\na = args[::-1]\\ns = (a[0], 1)\\na = a[1:]\\nfor i in a:\\n\\ts = add(rev(s), i)\\nif red(s) == red((p, q)):\\n\\tprint(\\\"YES\\\")\\nelse:\\n\\tprint(\\\"NO\\\")\\n\", \"import re\\nimport itertools\\nfrom collections import Counter, deque\\nfrom fractions import gcd\\n\\nclass Task:\\n    p, q = 0, 0\\n    a = []\\n    answer = ''\\n\\t\\n    def getData(self):\\n        self.p, self.q = [int(x) for x in input().split(' ')]\\n        input()\\n        self.a = [int(x) for x in input().split(' ')]\\n        #inFile = open('input.txt', 'r')\\n        #inFile.readline().rstrip()\\n        #self.childs = inFile.readline().rstrip()\\n\\n    def solve(self):\\n        p, q = self.toFraction(self.a)\\n        if self.p * q == self.q * p:\\n            self.answer = 'YES'\\n        else:\\n            self.answer = 'NO'\\n\\n    def toFraction(self, a):\\n        if len(a) == 1:\\n            return a[0], 1\\n        q, p = self.toFraction(a[1 : ])\\n        d = gcd(a[0] * q + p, q)\\n        return (a[0] * q + p) // d, q // d\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #outFile = open('output.txt', 'w')\\n        #outFile.write(self.answer)\\n\\ntask = Task()\\ntask.getData()\\ntask.solve()\\ntask.printAnswer()\\n\", \"3\\n\\np, q = tuple(map(int, input().strip().split()))\\nn = int(input().strip())\\na = list(map(int, input().strip().split()))\\na.reverse()\\n\\ndef gcd(a, b):\\n    while a:\\n        a, b = b % a, a\\n    return b\\n\\ng = gcd(p, q)\\np, q = p // g, q // g\\n\\nu, v = 0, 1;\\n\\nfor i in a:\\n    v, u = v * i + u, v\\n    g = gcd(u, v)\\n    u, v = u // g, v // g\\nif p == v and q == u:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"import math\\nimport sys\\n\\ndef gcd(x, y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y)\\np, q = list(map(int,sys.stdin.readline().split()))\\nn = int(input())\\na = [0] * n;\\nb = list(map(int,sys.stdin.readline().split()))\\nl = 0\\nfor i in b: \\n    a[l] = i\\n    l = l + 1\\nx, y = a[n-1], 1\\nfor i in range(n-2,-1,-1):\\n    x, y = y, x\\n    x = x + y*a[i]\\ng1 = gcd(p,q)\\ng2 = gcd(x,y)\\np = p // g1\\nq = q // g1\\nx = x // g2\\ny = y // g2\\nif(x == p and y == q):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"def gcd(a, b):\\n    if b==0:\\n        return a\\n    return gcd(b,a%b)\\n\\ndef red(frac):\\n    gcdfrac = gcd(frac[0],frac[1])\\n    return (frac[0] // gcdfrac, frac[1] // gcdfrac)\\n\\ndef add(i, frac):\\n    a,b = frac\\n    a += b * i\\n    return red((a,b))\\n\\nimport sys\\nargs = list(map(int, sys.stdin.read().split()))\\np, q = args[0], args[1]\\nn = args[2]\\ns = (args[2+n],1)\\nfor i in range(0,n-1):\\n    s = add(args[1+n-i] , (s[1],s[0]))\\nif(s == red((p,q))):\\n    print('YES')\\nelse:\\n    print('NO')\", \"#!/usr/bin/env python\\n#coding:utf-8\\n\\nfrom fractions import Fraction\\n\\ndef frac(lis,i):\\n    if i == len(lis)-1 :\\n        return lis[i]\\n    else:\\n        return lis[i]+1/frac(lis,i+1)\\n\\ndef main():\\n    linesp = input().split(\\\" \\\")\\n    p,q = int(linesp[0]),int(linesp[1])\\n    one = Fraction(p,q)\\n\\n    n = int(input())\\n\\n    A = []\\n    for s in input().split(\\\" \\\"):\\n        A.append(Fraction(int(s)))\\n\\n    two = frac(A,0)\\n    if one == two:\\n        print(\\\"YES\\\")\\n    else:\\n        print(\\\"NO\\\")\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"\\ndef gcd(a, b):\\n\\tif (b == 0):\\n\\t\\treturn a\\n\\telse:\\n\\t\\treturn gcd(b, a % b)\\n\\np, q = map(int, input().split())\\nn = int(input())\\nA = list(map(int, input().split()))\\ng = gcd(p, q)\\np = p // g\\nq = q // g\\nk = A[n - 1]\\nl = 1\\nfor i in range(n - 2, -1, -1):\\n\\tk, l = l, k\\n\\tk += A[i] * l\\n\\tg = gcd(k, l)\\n\\tk = k // g\\n\\tl = l // g\\nif (k == p and q == l):\\n\\tprint (\\\"YES\\\")\\nelse:\\n\\tprint (\\\"NO\\\")\", \"P, Q = [int(x) for x in input().split()]\\n\\nN = int(input())\\nA = [int(x) for x in input().split()]\\n\\nU, V = 1, 0\\nfor x in A[::-1]:\\n    U, V = V, U\\n    U, V = V * x + U, V\\n\\nif U * Q == P * V:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"from decimal import *\\ngetcontext().prec = 75\\np = input().split()\\n\\nn = int(input())\\n\\nc = input().split()\\n\\n\\n\\n\\n\\na='0'\\nfor i in range(n-1,0,-1):\\n    a=str(Decimal(a)+Decimal(c[i]))\\n    a=str(Decimal('1')/Decimal(str(a)))\\n\\na=str(Decimal(a)+Decimal(c[0]))\\nb=str(Decimal(p[0])/Decimal(p[1]))\\n\\n\\nif(a==b):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input().split(' ')\\n\\np = int(s[0])\\nq = int(s[1])\\n\\ns = input()\\nn = int(s)\\n\\ns = input().split(' ')\\n\\nok = True\\n\\nfor i in range(n):\\n    x = int(s[i])\\n    p = p-q*x\\n    if ok==False:\\n        continue\\n    if p==0 and i!=n-1 :\\n        ok = False\\n    elif p<0:\\n        ok = False\\n    t = p\\n    p = q\\n    q = t\\n\\nif ok and (p==0 or q==0):\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p, q = [int(x) for x in input().split()]\\nn = int(input())\\na = [int(x) for x in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\nif x * q == y * p:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"p,q=[int(x) for x in input().split()]\\nn=int(input())\\na=[int(x) for x in input().split()]\\n\\nx,y,i=1,0,n\\nwhile n>0:\\n    x,y=y,x\\n    n-=1\\n    x+=y*a[n]\\n\\nif x*q==y*p:\\n    print(\\\"YES\\\")\\nelse :\\n    print(\\\"NO\\\")\\n\", \"\\ndef gcd(x,y):\\n    if(y == 0):\\n        return x\\n    else:\\n        return gcd(y,x%y) \\n\\np, q = [int(i) for i in input().split()]\\nn = int(input())\\na = [int(i) for i in input().split()]\\nx, y = 1, 0\\nfor i in a[::-1]:\\n    x, y = y+i*x, x\\na, b = gcd(p,q), gcd(x,y)\\np = p // a;\\nq = q // a\\nx = x // b\\ny = y // b\\nif x == p and y == q:\\n    print(\\\"YES\\\")\\nelse:\\n    print(\\\"NO\\\")\\n\", \"s = input()\\na = s.split()\\np = int(a[0])\\nq = int(a[1])\\nn = input()\\ns = input()\\nse = s.split()\\nfor c in se:\\n    e = int(c)\\n    t1 = p-e*q\\n    t2 = q\\n    p = t2\\n    q = t1\\nif q == 0:\\n    print('YES')\\nelse :\\n    print('NO')\\n\", \"def gcd(a,b):\\n    if(b==0):\\n        return a\\n    return gcd(b,a%b)\\np,q=list(map(int,input().split()))\\nN=int(input())\\nA=list(map(int,input().split()))\\nznam=1\\nchisl=A[N-1]\\n\\nfor i in range (N-1,0,-1):\\n    chisl,znam=znam,chisl\\n    #print(chisl,znam)\\n    chisl += znam*A[i-1]\\n    #print(chisl,znam)\\nif(p*znam==q*chisl):\\n    print('YES')\\nelse:\\n    print('NO')\\n\", \"def gcd (x, y):\\n    while (x > 0) and (y > 0):\\n        if (x > y):\\n            x %= y\\n        else:\\n            y %= x\\n    return x + y\\np, q = map(int, input().split())\\nn = int (input ())\\na = list (map (int, input ().split ()))\\np1 = 1\\nq1 = a[n - 1]\\nfor i in range(n - 2, -1, -1):\\n    p1 += a[i] * q1\\n    z = p1\\n    p1 = q1\\n    q1 = z\\nz = p1\\np1 = q1\\nq1 = z\\ng = gcd (p, q)\\nif (g != 0):\\n    p /= g\\n    q /= g\\ng = gcd (p1, q1)\\nif (g != 0):\\n    p1 /= g\\n    q1 /= g\\nif (p == p1) and (q == q1):\\n    print (\\\"YES\\\")\\nelse:\\n    print (\\\"NO\\\")\", \"from fractions import Fraction\\ndef __starting_point():\\n    p,q=list(map(int, input().split(' ')))\\n    n=int(input())\\n    a=list(map(int,input().split(' ')))\\n    def fract(x):\\n        if x==n-1:\\n            return Fraction(1,a[x])\\n        elif x>=n:\\n            return 0\\n        else:\\n            return Fraction(1,a[x]+fract(x+1))\\n    print('YES' if Fraction(p,q)==a[0]+fract(1) else 'NO')\\n\\n\\n\\n\\n\\n__starting_point()\", \"p, q = list(map(int, input().split()))\\nn = int(input())\\nA = list(map(int, input().split()))\\n\\nfor i in range(n):\\n    p, q = q, p - A[i] * q\\n\\nif p != 0 and q == 0:\\n    print('YES')\\nelse:\\n    print('NO')\\n\"]",
        "difficulty": "interview",
        "input": "1337 42\n1\n31\n",
        "output": "NO\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/305/B"
    },
    {
        "id": 383,
        "task_id": 1686,
        "test_case_id": 1,
        "question": "The problem uses a simplified TCP/IP address model, please make sure you've read the statement attentively.\n\nPolycarpus has found a job, he is a system administrator. One day he came across n IP addresses. Each IP address is a 32 bit number, represented as a group of four 8-bit numbers (without leading zeroes), separated by dots. For example, the record 0.255.1.123 shows a correct IP address and records 0.256.1.123 and 0.255.1.01 do not. In this problem an arbitrary group of four 8-bit numbers is a correct IP address.\n\nHaving worked as an administrator for some time, Polycarpus learned that if you know the IP address, you can use the subnet mask to get the address of the network that has this IP addess.\n\nThe subnet mask is an IP address that has the following property: if we write this IP address as a 32 bit string, that it is representable as \"11...11000..000\". In other words, the subnet mask first has one or more one bits, and then one or more zero bits (overall there are 32 bits). For example, the IP address 2.0.0.0 is not a correct subnet mask as its 32-bit record looks as 00000010000000000000000000000000.\n\nTo get the network address of the IP address, you need to perform the operation of the bitwise \"and\" of the IP address and the subnet mask. For example, if the subnet mask is 255.192.0.0, and the IP address is 192.168.1.2, then the network address equals 192.128.0.0. In the bitwise \"and\" the result has a bit that equals 1 if and only if both operands have corresponding bits equal to one.\n\nNow Polycarpus wants to find all networks to which his IP addresses belong. Unfortunately, Polycarpus lost subnet mask. Fortunately, Polycarpus remembers that his IP addresses belonged to exactly k distinct networks. Help Polycarpus find the subnet mask, such that his IP addresses will belong to exactly k distinct networks. If there are several such subnet masks, find the one whose bit record contains the least number of ones. If such subnet mask do not exist, say so.\n\n\n-----Input-----\n\nThe first line contains two integers, n and k (1 ≤ k ≤ n ≤ 10^5) — the number of IP addresses and networks. The next n lines contain the IP addresses. It is guaranteed that all IP addresses are distinct.\n\n\n-----Output-----\n\nIn a single line print the IP address of the subnet mask in the format that is described in the statement, if the required subnet mask exists. Otherwise, print -1.\n\n\n-----Examples-----\nInput\n5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.254.0\nInput\n5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.0.0\nInput\n2 1\n255.0.0.1\n0.0.0.2\n\nOutput\n-1",
        "solutions": "[\"import math\\nimport re\\nfrom fractions import Fraction\\nfrom collections import Counter\\n\\nclass Task:\\n    ips = []\\n    k = 0\\n    answer = ''\\n    \\n    def __init__(self):\\n        n, self.k = [int(x) for x in input().split()]\\n        self.ips = ['' for _ in range(n)]\\n        for i in range(len(self.ips)):\\n            self.ips[i] = input()\\n\\n    def solve(self):\\n        ips, k = self.ips, self.k\\n        ipAsNumbers = []\\n        for currentIp in ips:\\n            number = 0\\n            parts = currentIp.split('.')\\n            for i in range(0, len(parts)):\\n                number += int(parts[i]) * 2**(32 - (i + 1) * 8)\\n            ipAsNumbers += [number]\\n\\n        mask = 0\\n        for i in range(31, -1, -1):\\n            mask += 2**i\\n            netAddresses = set()\\n            for ip in ipAsNumbers:\\n                netAddresses.add(mask & ip)\\n            if len(netAddresses) == k:\\n                mask = bin(mask)[2:]\\n                self.answer = '.'.join([str(int(mask[i : i + 8], 2)) \\\\\\n                    for i in range(0, len(mask), 8)])\\n                return\\n        self.answer = '-1'\\n\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #for line in self.answer:\\n        #    print(line)\\n\\ntask = Task()\\ntask.solve()\\ntask.printAnswer()\\n\", \"def f(t):\\n    a, b, c, d = map(int, t.split('.'))\\n    return d + (c << 8) + (b << 16) + (a << 24)\\n\\ndef g(x):\\n    p = [0] * 4\\n    for i in range(4):\\n        p[3 - i] = str(x % 256)\\n        x //= 256\\n    return '.'.join(p)\\n\\nn, k = map(int, input().split())\\nt = [f(input()) for i in range(n)]\\np = [0] * n\\nx = 1 << 31\\nfor i in range(32):\\n    for j, y in enumerate(t):\\n        if y & x: p[j] += x\\n    if len(set(p)) >= k: break\\n    x >>= 1\\nprint(-1 if len(set(p)) != k else g((1 << 32) - x))\", \"def parse(ip_address):\\n    a, b, c, d = [int(x) for x in ip_address.split('.')]\\n    return (a << 24) | (b << 16) | (c << 8) | d\\n\\nn, k = [int(x) for x in input().split()]\\nips = [parse(input()) for i in range(n)]\\nall_ones = (1 << 32) - 1\\neight_ones = (1 << 8) - 1\\nfor n_zeros in range(31, 0, -1):\\n    mask = all_ones << n_zeros\\n    if len(set(mask & ip for ip in ips)) == k:\\n        address = [(mask >> 24) & eight_ones, (mask >> 16) & eight_ones, (mask >> 8) & eight_ones, mask & eight_ones]\\n        print('.'.join(str(x) for x in address))\\n        return\\n\\nprint(-1)\"]",
        "difficulty": "interview",
        "input": "5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n",
        "output": "255.255.254.0",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/291/C"
    },
    {
        "id": 384,
        "task_id": 1686,
        "test_case_id": 2,
        "question": "The problem uses a simplified TCP/IP address model, please make sure you've read the statement attentively.\n\nPolycarpus has found a job, he is a system administrator. One day he came across n IP addresses. Each IP address is a 32 bit number, represented as a group of four 8-bit numbers (without leading zeroes), separated by dots. For example, the record 0.255.1.123 shows a correct IP address and records 0.256.1.123 and 0.255.1.01 do not. In this problem an arbitrary group of four 8-bit numbers is a correct IP address.\n\nHaving worked as an administrator for some time, Polycarpus learned that if you know the IP address, you can use the subnet mask to get the address of the network that has this IP addess.\n\nThe subnet mask is an IP address that has the following property: if we write this IP address as a 32 bit string, that it is representable as \"11...11000..000\". In other words, the subnet mask first has one or more one bits, and then one or more zero bits (overall there are 32 bits). For example, the IP address 2.0.0.0 is not a correct subnet mask as its 32-bit record looks as 00000010000000000000000000000000.\n\nTo get the network address of the IP address, you need to perform the operation of the bitwise \"and\" of the IP address and the subnet mask. For example, if the subnet mask is 255.192.0.0, and the IP address is 192.168.1.2, then the network address equals 192.128.0.0. In the bitwise \"and\" the result has a bit that equals 1 if and only if both operands have corresponding bits equal to one.\n\nNow Polycarpus wants to find all networks to which his IP addresses belong. Unfortunately, Polycarpus lost subnet mask. Fortunately, Polycarpus remembers that his IP addresses belonged to exactly k distinct networks. Help Polycarpus find the subnet mask, such that his IP addresses will belong to exactly k distinct networks. If there are several such subnet masks, find the one whose bit record contains the least number of ones. If such subnet mask do not exist, say so.\n\n\n-----Input-----\n\nThe first line contains two integers, n and k (1 ≤ k ≤ n ≤ 10^5) — the number of IP addresses and networks. The next n lines contain the IP addresses. It is guaranteed that all IP addresses are distinct.\n\n\n-----Output-----\n\nIn a single line print the IP address of the subnet mask in the format that is described in the statement, if the required subnet mask exists. Otherwise, print -1.\n\n\n-----Examples-----\nInput\n5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.254.0\nInput\n5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.0.0\nInput\n2 1\n255.0.0.1\n0.0.0.2\n\nOutput\n-1",
        "solutions": "[\"import math\\nimport re\\nfrom fractions import Fraction\\nfrom collections import Counter\\n\\nclass Task:\\n    ips = []\\n    k = 0\\n    answer = ''\\n    \\n    def __init__(self):\\n        n, self.k = [int(x) for x in input().split()]\\n        self.ips = ['' for _ in range(n)]\\n        for i in range(len(self.ips)):\\n            self.ips[i] = input()\\n\\n    def solve(self):\\n        ips, k = self.ips, self.k\\n        ipAsNumbers = []\\n        for currentIp in ips:\\n            number = 0\\n            parts = currentIp.split('.')\\n            for i in range(0, len(parts)):\\n                number += int(parts[i]) * 2**(32 - (i + 1) * 8)\\n            ipAsNumbers += [number]\\n\\n        mask = 0\\n        for i in range(31, -1, -1):\\n            mask += 2**i\\n            netAddresses = set()\\n            for ip in ipAsNumbers:\\n                netAddresses.add(mask & ip)\\n            if len(netAddresses) == k:\\n                mask = bin(mask)[2:]\\n                self.answer = '.'.join([str(int(mask[i : i + 8], 2)) \\\\\\n                    for i in range(0, len(mask), 8)])\\n                return\\n        self.answer = '-1'\\n\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #for line in self.answer:\\n        #    print(line)\\n\\ntask = Task()\\ntask.solve()\\ntask.printAnswer()\\n\", \"def f(t):\\n    a, b, c, d = map(int, t.split('.'))\\n    return d + (c << 8) + (b << 16) + (a << 24)\\n\\ndef g(x):\\n    p = [0] * 4\\n    for i in range(4):\\n        p[3 - i] = str(x % 256)\\n        x //= 256\\n    return '.'.join(p)\\n\\nn, k = map(int, input().split())\\nt = [f(input()) for i in range(n)]\\np = [0] * n\\nx = 1 << 31\\nfor i in range(32):\\n    for j, y in enumerate(t):\\n        if y & x: p[j] += x\\n    if len(set(p)) >= k: break\\n    x >>= 1\\nprint(-1 if len(set(p)) != k else g((1 << 32) - x))\", \"def parse(ip_address):\\n    a, b, c, d = [int(x) for x in ip_address.split('.')]\\n    return (a << 24) | (b << 16) | (c << 8) | d\\n\\nn, k = [int(x) for x in input().split()]\\nips = [parse(input()) for i in range(n)]\\nall_ones = (1 << 32) - 1\\neight_ones = (1 << 8) - 1\\nfor n_zeros in range(31, 0, -1):\\n    mask = all_ones << n_zeros\\n    if len(set(mask & ip for ip in ips)) == k:\\n        address = [(mask >> 24) & eight_ones, (mask >> 16) & eight_ones, (mask >> 8) & eight_ones, mask & eight_ones]\\n        print('.'.join(str(x) for x in address))\\n        return\\n\\nprint(-1)\"]",
        "difficulty": "interview",
        "input": "5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n",
        "output": "255.255.0.0",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/291/C"
    },
    {
        "id": 385,
        "task_id": 1686,
        "test_case_id": 3,
        "question": "The problem uses a simplified TCP/IP address model, please make sure you've read the statement attentively.\n\nPolycarpus has found a job, he is a system administrator. One day he came across n IP addresses. Each IP address is a 32 bit number, represented as a group of four 8-bit numbers (without leading zeroes), separated by dots. For example, the record 0.255.1.123 shows a correct IP address and records 0.256.1.123 and 0.255.1.01 do not. In this problem an arbitrary group of four 8-bit numbers is a correct IP address.\n\nHaving worked as an administrator for some time, Polycarpus learned that if you know the IP address, you can use the subnet mask to get the address of the network that has this IP addess.\n\nThe subnet mask is an IP address that has the following property: if we write this IP address as a 32 bit string, that it is representable as \"11...11000..000\". In other words, the subnet mask first has one or more one bits, and then one or more zero bits (overall there are 32 bits). For example, the IP address 2.0.0.0 is not a correct subnet mask as its 32-bit record looks as 00000010000000000000000000000000.\n\nTo get the network address of the IP address, you need to perform the operation of the bitwise \"and\" of the IP address and the subnet mask. For example, if the subnet mask is 255.192.0.0, and the IP address is 192.168.1.2, then the network address equals 192.128.0.0. In the bitwise \"and\" the result has a bit that equals 1 if and only if both operands have corresponding bits equal to one.\n\nNow Polycarpus wants to find all networks to which his IP addresses belong. Unfortunately, Polycarpus lost subnet mask. Fortunately, Polycarpus remembers that his IP addresses belonged to exactly k distinct networks. Help Polycarpus find the subnet mask, such that his IP addresses will belong to exactly k distinct networks. If there are several such subnet masks, find the one whose bit record contains the least number of ones. If such subnet mask do not exist, say so.\n\n\n-----Input-----\n\nThe first line contains two integers, n and k (1 ≤ k ≤ n ≤ 10^5) — the number of IP addresses and networks. The next n lines contain the IP addresses. It is guaranteed that all IP addresses are distinct.\n\n\n-----Output-----\n\nIn a single line print the IP address of the subnet mask in the format that is described in the statement, if the required subnet mask exists. Otherwise, print -1.\n\n\n-----Examples-----\nInput\n5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.254.0\nInput\n5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.0.0\nInput\n2 1\n255.0.0.1\n0.0.0.2\n\nOutput\n-1",
        "solutions": "[\"import math\\nimport re\\nfrom fractions import Fraction\\nfrom collections import Counter\\n\\nclass Task:\\n    ips = []\\n    k = 0\\n    answer = ''\\n    \\n    def __init__(self):\\n        n, self.k = [int(x) for x in input().split()]\\n        self.ips = ['' for _ in range(n)]\\n        for i in range(len(self.ips)):\\n            self.ips[i] = input()\\n\\n    def solve(self):\\n        ips, k = self.ips, self.k\\n        ipAsNumbers = []\\n        for currentIp in ips:\\n            number = 0\\n            parts = currentIp.split('.')\\n            for i in range(0, len(parts)):\\n                number += int(parts[i]) * 2**(32 - (i + 1) * 8)\\n            ipAsNumbers += [number]\\n\\n        mask = 0\\n        for i in range(31, -1, -1):\\n            mask += 2**i\\n            netAddresses = set()\\n            for ip in ipAsNumbers:\\n                netAddresses.add(mask & ip)\\n            if len(netAddresses) == k:\\n                mask = bin(mask)[2:]\\n                self.answer = '.'.join([str(int(mask[i : i + 8], 2)) \\\\\\n                    for i in range(0, len(mask), 8)])\\n                return\\n        self.answer = '-1'\\n\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #for line in self.answer:\\n        #    print(line)\\n\\ntask = Task()\\ntask.solve()\\ntask.printAnswer()\\n\", \"def f(t):\\n    a, b, c, d = map(int, t.split('.'))\\n    return d + (c << 8) + (b << 16) + (a << 24)\\n\\ndef g(x):\\n    p = [0] * 4\\n    for i in range(4):\\n        p[3 - i] = str(x % 256)\\n        x //= 256\\n    return '.'.join(p)\\n\\nn, k = map(int, input().split())\\nt = [f(input()) for i in range(n)]\\np = [0] * n\\nx = 1 << 31\\nfor i in range(32):\\n    for j, y in enumerate(t):\\n        if y & x: p[j] += x\\n    if len(set(p)) >= k: break\\n    x >>= 1\\nprint(-1 if len(set(p)) != k else g((1 << 32) - x))\", \"def parse(ip_address):\\n    a, b, c, d = [int(x) for x in ip_address.split('.')]\\n    return (a << 24) | (b << 16) | (c << 8) | d\\n\\nn, k = [int(x) for x in input().split()]\\nips = [parse(input()) for i in range(n)]\\nall_ones = (1 << 32) - 1\\neight_ones = (1 << 8) - 1\\nfor n_zeros in range(31, 0, -1):\\n    mask = all_ones << n_zeros\\n    if len(set(mask & ip for ip in ips)) == k:\\n        address = [(mask >> 24) & eight_ones, (mask >> 16) & eight_ones, (mask >> 8) & eight_ones, mask & eight_ones]\\n        print('.'.join(str(x) for x in address))\\n        return\\n\\nprint(-1)\"]",
        "difficulty": "interview",
        "input": "2 1\n255.0.0.1\n0.0.0.2\n",
        "output": "-1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/291/C"
    },
    {
        "id": 386,
        "task_id": 1686,
        "test_case_id": 4,
        "question": "The problem uses a simplified TCP/IP address model, please make sure you've read the statement attentively.\n\nPolycarpus has found a job, he is a system administrator. One day he came across n IP addresses. Each IP address is a 32 bit number, represented as a group of four 8-bit numbers (without leading zeroes), separated by dots. For example, the record 0.255.1.123 shows a correct IP address and records 0.256.1.123 and 0.255.1.01 do not. In this problem an arbitrary group of four 8-bit numbers is a correct IP address.\n\nHaving worked as an administrator for some time, Polycarpus learned that if you know the IP address, you can use the subnet mask to get the address of the network that has this IP addess.\n\nThe subnet mask is an IP address that has the following property: if we write this IP address as a 32 bit string, that it is representable as \"11...11000..000\". In other words, the subnet mask first has one or more one bits, and then one or more zero bits (overall there are 32 bits). For example, the IP address 2.0.0.0 is not a correct subnet mask as its 32-bit record looks as 00000010000000000000000000000000.\n\nTo get the network address of the IP address, you need to perform the operation of the bitwise \"and\" of the IP address and the subnet mask. For example, if the subnet mask is 255.192.0.0, and the IP address is 192.168.1.2, then the network address equals 192.128.0.0. In the bitwise \"and\" the result has a bit that equals 1 if and only if both operands have corresponding bits equal to one.\n\nNow Polycarpus wants to find all networks to which his IP addresses belong. Unfortunately, Polycarpus lost subnet mask. Fortunately, Polycarpus remembers that his IP addresses belonged to exactly k distinct networks. Help Polycarpus find the subnet mask, such that his IP addresses will belong to exactly k distinct networks. If there are several such subnet masks, find the one whose bit record contains the least number of ones. If such subnet mask do not exist, say so.\n\n\n-----Input-----\n\nThe first line contains two integers, n and k (1 ≤ k ≤ n ≤ 10^5) — the number of IP addresses and networks. The next n lines contain the IP addresses. It is guaranteed that all IP addresses are distinct.\n\n\n-----Output-----\n\nIn a single line print the IP address of the subnet mask in the format that is described in the statement, if the required subnet mask exists. Otherwise, print -1.\n\n\n-----Examples-----\nInput\n5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.254.0\nInput\n5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.0.0\nInput\n2 1\n255.0.0.1\n0.0.0.2\n\nOutput\n-1",
        "solutions": "[\"import math\\nimport re\\nfrom fractions import Fraction\\nfrom collections import Counter\\n\\nclass Task:\\n    ips = []\\n    k = 0\\n    answer = ''\\n    \\n    def __init__(self):\\n        n, self.k = [int(x) for x in input().split()]\\n        self.ips = ['' for _ in range(n)]\\n        for i in range(len(self.ips)):\\n            self.ips[i] = input()\\n\\n    def solve(self):\\n        ips, k = self.ips, self.k\\n        ipAsNumbers = []\\n        for currentIp in ips:\\n            number = 0\\n            parts = currentIp.split('.')\\n            for i in range(0, len(parts)):\\n                number += int(parts[i]) * 2**(32 - (i + 1) * 8)\\n            ipAsNumbers += [number]\\n\\n        mask = 0\\n        for i in range(31, -1, -1):\\n            mask += 2**i\\n            netAddresses = set()\\n            for ip in ipAsNumbers:\\n                netAddresses.add(mask & ip)\\n            if len(netAddresses) == k:\\n                mask = bin(mask)[2:]\\n                self.answer = '.'.join([str(int(mask[i : i + 8], 2)) \\\\\\n                    for i in range(0, len(mask), 8)])\\n                return\\n        self.answer = '-1'\\n\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #for line in self.answer:\\n        #    print(line)\\n\\ntask = Task()\\ntask.solve()\\ntask.printAnswer()\\n\", \"def f(t):\\n    a, b, c, d = map(int, t.split('.'))\\n    return d + (c << 8) + (b << 16) + (a << 24)\\n\\ndef g(x):\\n    p = [0] * 4\\n    for i in range(4):\\n        p[3 - i] = str(x % 256)\\n        x //= 256\\n    return '.'.join(p)\\n\\nn, k = map(int, input().split())\\nt = [f(input()) for i in range(n)]\\np = [0] * n\\nx = 1 << 31\\nfor i in range(32):\\n    for j, y in enumerate(t):\\n        if y & x: p[j] += x\\n    if len(set(p)) >= k: break\\n    x >>= 1\\nprint(-1 if len(set(p)) != k else g((1 << 32) - x))\", \"def parse(ip_address):\\n    a, b, c, d = [int(x) for x in ip_address.split('.')]\\n    return (a << 24) | (b << 16) | (c << 8) | d\\n\\nn, k = [int(x) for x in input().split()]\\nips = [parse(input()) for i in range(n)]\\nall_ones = (1 << 32) - 1\\neight_ones = (1 << 8) - 1\\nfor n_zeros in range(31, 0, -1):\\n    mask = all_ones << n_zeros\\n    if len(set(mask & ip for ip in ips)) == k:\\n        address = [(mask >> 24) & eight_ones, (mask >> 16) & eight_ones, (mask >> 8) & eight_ones, mask & eight_ones]\\n        print('.'.join(str(x) for x in address))\\n        return\\n\\nprint(-1)\"]",
        "difficulty": "interview",
        "input": "10 2\n57.11.146.42\n200.130.164.235\n52.119.155.71\n113.10.216.20\n28.23.6.128\n190.112.90.85\n7.37.210.55\n20.190.120.226\n170.124.158.110\n122.157.34.141\n",
        "output": "128.0.0.0",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/291/C"
    },
    {
        "id": 387,
        "task_id": 1686,
        "test_case_id": 5,
        "question": "The problem uses a simplified TCP/IP address model, please make sure you've read the statement attentively.\n\nPolycarpus has found a job, he is a system administrator. One day he came across n IP addresses. Each IP address is a 32 bit number, represented as a group of four 8-bit numbers (without leading zeroes), separated by dots. For example, the record 0.255.1.123 shows a correct IP address and records 0.256.1.123 and 0.255.1.01 do not. In this problem an arbitrary group of four 8-bit numbers is a correct IP address.\n\nHaving worked as an administrator for some time, Polycarpus learned that if you know the IP address, you can use the subnet mask to get the address of the network that has this IP addess.\n\nThe subnet mask is an IP address that has the following property: if we write this IP address as a 32 bit string, that it is representable as \"11...11000..000\". In other words, the subnet mask first has one or more one bits, and then one or more zero bits (overall there are 32 bits). For example, the IP address 2.0.0.0 is not a correct subnet mask as its 32-bit record looks as 00000010000000000000000000000000.\n\nTo get the network address of the IP address, you need to perform the operation of the bitwise \"and\" of the IP address and the subnet mask. For example, if the subnet mask is 255.192.0.0, and the IP address is 192.168.1.2, then the network address equals 192.128.0.0. In the bitwise \"and\" the result has a bit that equals 1 if and only if both operands have corresponding bits equal to one.\n\nNow Polycarpus wants to find all networks to which his IP addresses belong. Unfortunately, Polycarpus lost subnet mask. Fortunately, Polycarpus remembers that his IP addresses belonged to exactly k distinct networks. Help Polycarpus find the subnet mask, such that his IP addresses will belong to exactly k distinct networks. If there are several such subnet masks, find the one whose bit record contains the least number of ones. If such subnet mask do not exist, say so.\n\n\n-----Input-----\n\nThe first line contains two integers, n and k (1 ≤ k ≤ n ≤ 10^5) — the number of IP addresses and networks. The next n lines contain the IP addresses. It is guaranteed that all IP addresses are distinct.\n\n\n-----Output-----\n\nIn a single line print the IP address of the subnet mask in the format that is described in the statement, if the required subnet mask exists. Otherwise, print -1.\n\n\n-----Examples-----\nInput\n5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.254.0\nInput\n5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.0.0\nInput\n2 1\n255.0.0.1\n0.0.0.2\n\nOutput\n-1",
        "solutions": "[\"import math\\nimport re\\nfrom fractions import Fraction\\nfrom collections import Counter\\n\\nclass Task:\\n    ips = []\\n    k = 0\\n    answer = ''\\n    \\n    def __init__(self):\\n        n, self.k = [int(x) for x in input().split()]\\n        self.ips = ['' for _ in range(n)]\\n        for i in range(len(self.ips)):\\n            self.ips[i] = input()\\n\\n    def solve(self):\\n        ips, k = self.ips, self.k\\n        ipAsNumbers = []\\n        for currentIp in ips:\\n            number = 0\\n            parts = currentIp.split('.')\\n            for i in range(0, len(parts)):\\n                number += int(parts[i]) * 2**(32 - (i + 1) * 8)\\n            ipAsNumbers += [number]\\n\\n        mask = 0\\n        for i in range(31, -1, -1):\\n            mask += 2**i\\n            netAddresses = set()\\n            for ip in ipAsNumbers:\\n                netAddresses.add(mask & ip)\\n            if len(netAddresses) == k:\\n                mask = bin(mask)[2:]\\n                self.answer = '.'.join([str(int(mask[i : i + 8], 2)) \\\\\\n                    for i in range(0, len(mask), 8)])\\n                return\\n        self.answer = '-1'\\n\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #for line in self.answer:\\n        #    print(line)\\n\\ntask = Task()\\ntask.solve()\\ntask.printAnswer()\\n\", \"def f(t):\\n    a, b, c, d = map(int, t.split('.'))\\n    return d + (c << 8) + (b << 16) + (a << 24)\\n\\ndef g(x):\\n    p = [0] * 4\\n    for i in range(4):\\n        p[3 - i] = str(x % 256)\\n        x //= 256\\n    return '.'.join(p)\\n\\nn, k = map(int, input().split())\\nt = [f(input()) for i in range(n)]\\np = [0] * n\\nx = 1 << 31\\nfor i in range(32):\\n    for j, y in enumerate(t):\\n        if y & x: p[j] += x\\n    if len(set(p)) >= k: break\\n    x >>= 1\\nprint(-1 if len(set(p)) != k else g((1 << 32) - x))\", \"def parse(ip_address):\\n    a, b, c, d = [int(x) for x in ip_address.split('.')]\\n    return (a << 24) | (b << 16) | (c << 8) | d\\n\\nn, k = [int(x) for x in input().split()]\\nips = [parse(input()) for i in range(n)]\\nall_ones = (1 << 32) - 1\\neight_ones = (1 << 8) - 1\\nfor n_zeros in range(31, 0, -1):\\n    mask = all_ones << n_zeros\\n    if len(set(mask & ip for ip in ips)) == k:\\n        address = [(mask >> 24) & eight_ones, (mask >> 16) & eight_ones, (mask >> 8) & eight_ones, mask & eight_ones]\\n        print('.'.join(str(x) for x in address))\\n        return\\n\\nprint(-1)\"]",
        "difficulty": "interview",
        "input": "11 4\n30.181.69.132\n170.239.176.11\n229.116.128.161\n9.82.24.38\n53.73.223.74\n168.10.125.208\n4.122.30.206\n139.239.173.235\n101.113.26.160\n216.250.148.119\n142.182.207.78\n",
        "output": "192.0.0.0",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/291/C"
    },
    {
        "id": 388,
        "task_id": 1686,
        "test_case_id": 6,
        "question": "The problem uses a simplified TCP/IP address model, please make sure you've read the statement attentively.\n\nPolycarpus has found a job, he is a system administrator. One day he came across n IP addresses. Each IP address is a 32 bit number, represented as a group of four 8-bit numbers (without leading zeroes), separated by dots. For example, the record 0.255.1.123 shows a correct IP address and records 0.256.1.123 and 0.255.1.01 do not. In this problem an arbitrary group of four 8-bit numbers is a correct IP address.\n\nHaving worked as an administrator for some time, Polycarpus learned that if you know the IP address, you can use the subnet mask to get the address of the network that has this IP addess.\n\nThe subnet mask is an IP address that has the following property: if we write this IP address as a 32 bit string, that it is representable as \"11...11000..000\". In other words, the subnet mask first has one or more one bits, and then one or more zero bits (overall there are 32 bits). For example, the IP address 2.0.0.0 is not a correct subnet mask as its 32-bit record looks as 00000010000000000000000000000000.\n\nTo get the network address of the IP address, you need to perform the operation of the bitwise \"and\" of the IP address and the subnet mask. For example, if the subnet mask is 255.192.0.0, and the IP address is 192.168.1.2, then the network address equals 192.128.0.0. In the bitwise \"and\" the result has a bit that equals 1 if and only if both operands have corresponding bits equal to one.\n\nNow Polycarpus wants to find all networks to which his IP addresses belong. Unfortunately, Polycarpus lost subnet mask. Fortunately, Polycarpus remembers that his IP addresses belonged to exactly k distinct networks. Help Polycarpus find the subnet mask, such that his IP addresses will belong to exactly k distinct networks. If there are several such subnet masks, find the one whose bit record contains the least number of ones. If such subnet mask do not exist, say so.\n\n\n-----Input-----\n\nThe first line contains two integers, n and k (1 ≤ k ≤ n ≤ 10^5) — the number of IP addresses and networks. The next n lines contain the IP addresses. It is guaranteed that all IP addresses are distinct.\n\n\n-----Output-----\n\nIn a single line print the IP address of the subnet mask in the format that is described in the statement, if the required subnet mask exists. Otherwise, print -1.\n\n\n-----Examples-----\nInput\n5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.254.0\nInput\n5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.0.0\nInput\n2 1\n255.0.0.1\n0.0.0.2\n\nOutput\n-1",
        "solutions": "[\"import math\\nimport re\\nfrom fractions import Fraction\\nfrom collections import Counter\\n\\nclass Task:\\n    ips = []\\n    k = 0\\n    answer = ''\\n    \\n    def __init__(self):\\n        n, self.k = [int(x) for x in input().split()]\\n        self.ips = ['' for _ in range(n)]\\n        for i in range(len(self.ips)):\\n            self.ips[i] = input()\\n\\n    def solve(self):\\n        ips, k = self.ips, self.k\\n        ipAsNumbers = []\\n        for currentIp in ips:\\n            number = 0\\n            parts = currentIp.split('.')\\n            for i in range(0, len(parts)):\\n                number += int(parts[i]) * 2**(32 - (i + 1) * 8)\\n            ipAsNumbers += [number]\\n\\n        mask = 0\\n        for i in range(31, -1, -1):\\n            mask += 2**i\\n            netAddresses = set()\\n            for ip in ipAsNumbers:\\n                netAddresses.add(mask & ip)\\n            if len(netAddresses) == k:\\n                mask = bin(mask)[2:]\\n                self.answer = '.'.join([str(int(mask[i : i + 8], 2)) \\\\\\n                    for i in range(0, len(mask), 8)])\\n                return\\n        self.answer = '-1'\\n\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #for line in self.answer:\\n        #    print(line)\\n\\ntask = Task()\\ntask.solve()\\ntask.printAnswer()\\n\", \"def f(t):\\n    a, b, c, d = map(int, t.split('.'))\\n    return d + (c << 8) + (b << 16) + (a << 24)\\n\\ndef g(x):\\n    p = [0] * 4\\n    for i in range(4):\\n        p[3 - i] = str(x % 256)\\n        x //= 256\\n    return '.'.join(p)\\n\\nn, k = map(int, input().split())\\nt = [f(input()) for i in range(n)]\\np = [0] * n\\nx = 1 << 31\\nfor i in range(32):\\n    for j, y in enumerate(t):\\n        if y & x: p[j] += x\\n    if len(set(p)) >= k: break\\n    x >>= 1\\nprint(-1 if len(set(p)) != k else g((1 << 32) - x))\", \"def parse(ip_address):\\n    a, b, c, d = [int(x) for x in ip_address.split('.')]\\n    return (a << 24) | (b << 16) | (c << 8) | d\\n\\nn, k = [int(x) for x in input().split()]\\nips = [parse(input()) for i in range(n)]\\nall_ones = (1 << 32) - 1\\neight_ones = (1 << 8) - 1\\nfor n_zeros in range(31, 0, -1):\\n    mask = all_ones << n_zeros\\n    if len(set(mask & ip for ip in ips)) == k:\\n        address = [(mask >> 24) & eight_ones, (mask >> 16) & eight_ones, (mask >> 8) & eight_ones, mask & eight_ones]\\n        print('.'.join(str(x) for x in address))\\n        return\\n\\nprint(-1)\"]",
        "difficulty": "interview",
        "input": "12 5\n211.200.83.75\n9.64.213.241\n143.23.121.155\n212.121.142.193\n24.184.86.27\n176.131.70.228\n64.47.67.24\n255.241.229.181\n246.34.183.253\n65.121.116.178\n76.84.75.89\n22.239.28.119\n",
        "output": "-1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/291/C"
    },
    {
        "id": 389,
        "task_id": 1686,
        "test_case_id": 7,
        "question": "The problem uses a simplified TCP/IP address model, please make sure you've read the statement attentively.\n\nPolycarpus has found a job, he is a system administrator. One day he came across n IP addresses. Each IP address is a 32 bit number, represented as a group of four 8-bit numbers (without leading zeroes), separated by dots. For example, the record 0.255.1.123 shows a correct IP address and records 0.256.1.123 and 0.255.1.01 do not. In this problem an arbitrary group of four 8-bit numbers is a correct IP address.\n\nHaving worked as an administrator for some time, Polycarpus learned that if you know the IP address, you can use the subnet mask to get the address of the network that has this IP addess.\n\nThe subnet mask is an IP address that has the following property: if we write this IP address as a 32 bit string, that it is representable as \"11...11000..000\". In other words, the subnet mask first has one or more one bits, and then one or more zero bits (overall there are 32 bits). For example, the IP address 2.0.0.0 is not a correct subnet mask as its 32-bit record looks as 00000010000000000000000000000000.\n\nTo get the network address of the IP address, you need to perform the operation of the bitwise \"and\" of the IP address and the subnet mask. For example, if the subnet mask is 255.192.0.0, and the IP address is 192.168.1.2, then the network address equals 192.128.0.0. In the bitwise \"and\" the result has a bit that equals 1 if and only if both operands have corresponding bits equal to one.\n\nNow Polycarpus wants to find all networks to which his IP addresses belong. Unfortunately, Polycarpus lost subnet mask. Fortunately, Polycarpus remembers that his IP addresses belonged to exactly k distinct networks. Help Polycarpus find the subnet mask, such that his IP addresses will belong to exactly k distinct networks. If there are several such subnet masks, find the one whose bit record contains the least number of ones. If such subnet mask do not exist, say so.\n\n\n-----Input-----\n\nThe first line contains two integers, n and k (1 ≤ k ≤ n ≤ 10^5) — the number of IP addresses and networks. The next n lines contain the IP addresses. It is guaranteed that all IP addresses are distinct.\n\n\n-----Output-----\n\nIn a single line print the IP address of the subnet mask in the format that is described in the statement, if the required subnet mask exists. Otherwise, print -1.\n\n\n-----Examples-----\nInput\n5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.254.0\nInput\n5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.0.0\nInput\n2 1\n255.0.0.1\n0.0.0.2\n\nOutput\n-1",
        "solutions": "[\"import math\\nimport re\\nfrom fractions import Fraction\\nfrom collections import Counter\\n\\nclass Task:\\n    ips = []\\n    k = 0\\n    answer = ''\\n    \\n    def __init__(self):\\n        n, self.k = [int(x) for x in input().split()]\\n        self.ips = ['' for _ in range(n)]\\n        for i in range(len(self.ips)):\\n            self.ips[i] = input()\\n\\n    def solve(self):\\n        ips, k = self.ips, self.k\\n        ipAsNumbers = []\\n        for currentIp in ips:\\n            number = 0\\n            parts = currentIp.split('.')\\n            for i in range(0, len(parts)):\\n                number += int(parts[i]) * 2**(32 - (i + 1) * 8)\\n            ipAsNumbers += [number]\\n\\n        mask = 0\\n        for i in range(31, -1, -1):\\n            mask += 2**i\\n            netAddresses = set()\\n            for ip in ipAsNumbers:\\n                netAddresses.add(mask & ip)\\n            if len(netAddresses) == k:\\n                mask = bin(mask)[2:]\\n                self.answer = '.'.join([str(int(mask[i : i + 8], 2)) \\\\\\n                    for i in range(0, len(mask), 8)])\\n                return\\n        self.answer = '-1'\\n\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #for line in self.answer:\\n        #    print(line)\\n\\ntask = Task()\\ntask.solve()\\ntask.printAnswer()\\n\", \"def f(t):\\n    a, b, c, d = map(int, t.split('.'))\\n    return d + (c << 8) + (b << 16) + (a << 24)\\n\\ndef g(x):\\n    p = [0] * 4\\n    for i in range(4):\\n        p[3 - i] = str(x % 256)\\n        x //= 256\\n    return '.'.join(p)\\n\\nn, k = map(int, input().split())\\nt = [f(input()) for i in range(n)]\\np = [0] * n\\nx = 1 << 31\\nfor i in range(32):\\n    for j, y in enumerate(t):\\n        if y & x: p[j] += x\\n    if len(set(p)) >= k: break\\n    x >>= 1\\nprint(-1 if len(set(p)) != k else g((1 << 32) - x))\", \"def parse(ip_address):\\n    a, b, c, d = [int(x) for x in ip_address.split('.')]\\n    return (a << 24) | (b << 16) | (c << 8) | d\\n\\nn, k = [int(x) for x in input().split()]\\nips = [parse(input()) for i in range(n)]\\nall_ones = (1 << 32) - 1\\neight_ones = (1 << 8) - 1\\nfor n_zeros in range(31, 0, -1):\\n    mask = all_ones << n_zeros\\n    if len(set(mask & ip for ip in ips)) == k:\\n        address = [(mask >> 24) & eight_ones, (mask >> 16) & eight_ones, (mask >> 8) & eight_ones, mask & eight_ones]\\n        print('.'.join(str(x) for x in address))\\n        return\\n\\nprint(-1)\"]",
        "difficulty": "interview",
        "input": "13 6\n137.219.97.18\n104.145.250.214\n57.185.114.149\n158.161.4.92\n252.39.206.236\n184.252.14.247\n124.228.103.97\n114.244.29.127\n135.210.84.91\n169.248.84.237\n9.241.200.99\n90.154.249.89\n15.98.23.33\n",
        "output": "-1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/291/C"
    },
    {
        "id": 390,
        "task_id": 1686,
        "test_case_id": 8,
        "question": "The problem uses a simplified TCP/IP address model, please make sure you've read the statement attentively.\n\nPolycarpus has found a job, he is a system administrator. One day he came across n IP addresses. Each IP address is a 32 bit number, represented as a group of four 8-bit numbers (without leading zeroes), separated by dots. For example, the record 0.255.1.123 shows a correct IP address and records 0.256.1.123 and 0.255.1.01 do not. In this problem an arbitrary group of four 8-bit numbers is a correct IP address.\n\nHaving worked as an administrator for some time, Polycarpus learned that if you know the IP address, you can use the subnet mask to get the address of the network that has this IP addess.\n\nThe subnet mask is an IP address that has the following property: if we write this IP address as a 32 bit string, that it is representable as \"11...11000..000\". In other words, the subnet mask first has one or more one bits, and then one or more zero bits (overall there are 32 bits). For example, the IP address 2.0.0.0 is not a correct subnet mask as its 32-bit record looks as 00000010000000000000000000000000.\n\nTo get the network address of the IP address, you need to perform the operation of the bitwise \"and\" of the IP address and the subnet mask. For example, if the subnet mask is 255.192.0.0, and the IP address is 192.168.1.2, then the network address equals 192.128.0.0. In the bitwise \"and\" the result has a bit that equals 1 if and only if both operands have corresponding bits equal to one.\n\nNow Polycarpus wants to find all networks to which his IP addresses belong. Unfortunately, Polycarpus lost subnet mask. Fortunately, Polycarpus remembers that his IP addresses belonged to exactly k distinct networks. Help Polycarpus find the subnet mask, such that his IP addresses will belong to exactly k distinct networks. If there are several such subnet masks, find the one whose bit record contains the least number of ones. If such subnet mask do not exist, say so.\n\n\n-----Input-----\n\nThe first line contains two integers, n and k (1 ≤ k ≤ n ≤ 10^5) — the number of IP addresses and networks. The next n lines contain the IP addresses. It is guaranteed that all IP addresses are distinct.\n\n\n-----Output-----\n\nIn a single line print the IP address of the subnet mask in the format that is described in the statement, if the required subnet mask exists. Otherwise, print -1.\n\n\n-----Examples-----\nInput\n5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.254.0\nInput\n5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.0.0\nInput\n2 1\n255.0.0.1\n0.0.0.2\n\nOutput\n-1",
        "solutions": "[\"import math\\nimport re\\nfrom fractions import Fraction\\nfrom collections import Counter\\n\\nclass Task:\\n    ips = []\\n    k = 0\\n    answer = ''\\n    \\n    def __init__(self):\\n        n, self.k = [int(x) for x in input().split()]\\n        self.ips = ['' for _ in range(n)]\\n        for i in range(len(self.ips)):\\n            self.ips[i] = input()\\n\\n    def solve(self):\\n        ips, k = self.ips, self.k\\n        ipAsNumbers = []\\n        for currentIp in ips:\\n            number = 0\\n            parts = currentIp.split('.')\\n            for i in range(0, len(parts)):\\n                number += int(parts[i]) * 2**(32 - (i + 1) * 8)\\n            ipAsNumbers += [number]\\n\\n        mask = 0\\n        for i in range(31, -1, -1):\\n            mask += 2**i\\n            netAddresses = set()\\n            for ip in ipAsNumbers:\\n                netAddresses.add(mask & ip)\\n            if len(netAddresses) == k:\\n                mask = bin(mask)[2:]\\n                self.answer = '.'.join([str(int(mask[i : i + 8], 2)) \\\\\\n                    for i in range(0, len(mask), 8)])\\n                return\\n        self.answer = '-1'\\n\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #for line in self.answer:\\n        #    print(line)\\n\\ntask = Task()\\ntask.solve()\\ntask.printAnswer()\\n\", \"def f(t):\\n    a, b, c, d = map(int, t.split('.'))\\n    return d + (c << 8) + (b << 16) + (a << 24)\\n\\ndef g(x):\\n    p = [0] * 4\\n    for i in range(4):\\n        p[3 - i] = str(x % 256)\\n        x //= 256\\n    return '.'.join(p)\\n\\nn, k = map(int, input().split())\\nt = [f(input()) for i in range(n)]\\np = [0] * n\\nx = 1 << 31\\nfor i in range(32):\\n    for j, y in enumerate(t):\\n        if y & x: p[j] += x\\n    if len(set(p)) >= k: break\\n    x >>= 1\\nprint(-1 if len(set(p)) != k else g((1 << 32) - x))\", \"def parse(ip_address):\\n    a, b, c, d = [int(x) for x in ip_address.split('.')]\\n    return (a << 24) | (b << 16) | (c << 8) | d\\n\\nn, k = [int(x) for x in input().split()]\\nips = [parse(input()) for i in range(n)]\\nall_ones = (1 << 32) - 1\\neight_ones = (1 << 8) - 1\\nfor n_zeros in range(31, 0, -1):\\n    mask = all_ones << n_zeros\\n    if len(set(mask & ip for ip in ips)) == k:\\n        address = [(mask >> 24) & eight_ones, (mask >> 16) & eight_ones, (mask >> 8) & eight_ones, mask & eight_ones]\\n        print('.'.join(str(x) for x in address))\\n        return\\n\\nprint(-1)\"]",
        "difficulty": "interview",
        "input": "14 7\n62.238.111.217\n200.225.31.188\n228.91.108.143\n105.200.123.248\n223.149.69.190\n192.117.215.11\n184.153.140.170\n230.246.85.73\n24.131.241.184\n18.119.52.40\n199.143.68.109\n158.69.214.60\n174.25.117.109\n1.204.187.57\n",
        "output": "224.0.0.0",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/291/C"
    },
    {
        "id": 391,
        "task_id": 1686,
        "test_case_id": 9,
        "question": "The problem uses a simplified TCP/IP address model, please make sure you've read the statement attentively.\n\nPolycarpus has found a job, he is a system administrator. One day he came across n IP addresses. Each IP address is a 32 bit number, represented as a group of four 8-bit numbers (without leading zeroes), separated by dots. For example, the record 0.255.1.123 shows a correct IP address and records 0.256.1.123 and 0.255.1.01 do not. In this problem an arbitrary group of four 8-bit numbers is a correct IP address.\n\nHaving worked as an administrator for some time, Polycarpus learned that if you know the IP address, you can use the subnet mask to get the address of the network that has this IP addess.\n\nThe subnet mask is an IP address that has the following property: if we write this IP address as a 32 bit string, that it is representable as \"11...11000..000\". In other words, the subnet mask first has one or more one bits, and then one or more zero bits (overall there are 32 bits). For example, the IP address 2.0.0.0 is not a correct subnet mask as its 32-bit record looks as 00000010000000000000000000000000.\n\nTo get the network address of the IP address, you need to perform the operation of the bitwise \"and\" of the IP address and the subnet mask. For example, if the subnet mask is 255.192.0.0, and the IP address is 192.168.1.2, then the network address equals 192.128.0.0. In the bitwise \"and\" the result has a bit that equals 1 if and only if both operands have corresponding bits equal to one.\n\nNow Polycarpus wants to find all networks to which his IP addresses belong. Unfortunately, Polycarpus lost subnet mask. Fortunately, Polycarpus remembers that his IP addresses belonged to exactly k distinct networks. Help Polycarpus find the subnet mask, such that his IP addresses will belong to exactly k distinct networks. If there are several such subnet masks, find the one whose bit record contains the least number of ones. If such subnet mask do not exist, say so.\n\n\n-----Input-----\n\nThe first line contains two integers, n and k (1 ≤ k ≤ n ≤ 10^5) — the number of IP addresses and networks. The next n lines contain the IP addresses. It is guaranteed that all IP addresses are distinct.\n\n\n-----Output-----\n\nIn a single line print the IP address of the subnet mask in the format that is described in the statement, if the required subnet mask exists. Otherwise, print -1.\n\n\n-----Examples-----\nInput\n5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.254.0\nInput\n5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.0.0\nInput\n2 1\n255.0.0.1\n0.0.0.2\n\nOutput\n-1",
        "solutions": "[\"import math\\nimport re\\nfrom fractions import Fraction\\nfrom collections import Counter\\n\\nclass Task:\\n    ips = []\\n    k = 0\\n    answer = ''\\n    \\n    def __init__(self):\\n        n, self.k = [int(x) for x in input().split()]\\n        self.ips = ['' for _ in range(n)]\\n        for i in range(len(self.ips)):\\n            self.ips[i] = input()\\n\\n    def solve(self):\\n        ips, k = self.ips, self.k\\n        ipAsNumbers = []\\n        for currentIp in ips:\\n            number = 0\\n            parts = currentIp.split('.')\\n            for i in range(0, len(parts)):\\n                number += int(parts[i]) * 2**(32 - (i + 1) * 8)\\n            ipAsNumbers += [number]\\n\\n        mask = 0\\n        for i in range(31, -1, -1):\\n            mask += 2**i\\n            netAddresses = set()\\n            for ip in ipAsNumbers:\\n                netAddresses.add(mask & ip)\\n            if len(netAddresses) == k:\\n                mask = bin(mask)[2:]\\n                self.answer = '.'.join([str(int(mask[i : i + 8], 2)) \\\\\\n                    for i in range(0, len(mask), 8)])\\n                return\\n        self.answer = '-1'\\n\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #for line in self.answer:\\n        #    print(line)\\n\\ntask = Task()\\ntask.solve()\\ntask.printAnswer()\\n\", \"def f(t):\\n    a, b, c, d = map(int, t.split('.'))\\n    return d + (c << 8) + (b << 16) + (a << 24)\\n\\ndef g(x):\\n    p = [0] * 4\\n    for i in range(4):\\n        p[3 - i] = str(x % 256)\\n        x //= 256\\n    return '.'.join(p)\\n\\nn, k = map(int, input().split())\\nt = [f(input()) for i in range(n)]\\np = [0] * n\\nx = 1 << 31\\nfor i in range(32):\\n    for j, y in enumerate(t):\\n        if y & x: p[j] += x\\n    if len(set(p)) >= k: break\\n    x >>= 1\\nprint(-1 if len(set(p)) != k else g((1 << 32) - x))\", \"def parse(ip_address):\\n    a, b, c, d = [int(x) for x in ip_address.split('.')]\\n    return (a << 24) | (b << 16) | (c << 8) | d\\n\\nn, k = [int(x) for x in input().split()]\\nips = [parse(input()) for i in range(n)]\\nall_ones = (1 << 32) - 1\\neight_ones = (1 << 8) - 1\\nfor n_zeros in range(31, 0, -1):\\n    mask = all_ones << n_zeros\\n    if len(set(mask & ip for ip in ips)) == k:\\n        address = [(mask >> 24) & eight_ones, (mask >> 16) & eight_ones, (mask >> 8) & eight_ones, mask & eight_ones]\\n        print('.'.join(str(x) for x in address))\\n        return\\n\\nprint(-1)\"]",
        "difficulty": "interview",
        "input": "15 8\n244.1.125.160\n39.50.68.162\n142.253.101.137\n52.239.241.147\n194.4.189.143\n200.238.160.30\n245.78.177.243\n89.249.140.19\n169.51.142.22\n123.246.20.99\n133.44.192.119\n226.240.179.30\n76.209.211.184\n98.15.6.117\n227.219.117.153\n",
        "output": "-1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/291/C"
    },
    {
        "id": 392,
        "task_id": 1686,
        "test_case_id": 10,
        "question": "The problem uses a simplified TCP/IP address model, please make sure you've read the statement attentively.\n\nPolycarpus has found a job, he is a system administrator. One day he came across n IP addresses. Each IP address is a 32 bit number, represented as a group of four 8-bit numbers (without leading zeroes), separated by dots. For example, the record 0.255.1.123 shows a correct IP address and records 0.256.1.123 and 0.255.1.01 do not. In this problem an arbitrary group of four 8-bit numbers is a correct IP address.\n\nHaving worked as an administrator for some time, Polycarpus learned that if you know the IP address, you can use the subnet mask to get the address of the network that has this IP addess.\n\nThe subnet mask is an IP address that has the following property: if we write this IP address as a 32 bit string, that it is representable as \"11...11000..000\". In other words, the subnet mask first has one or more one bits, and then one or more zero bits (overall there are 32 bits). For example, the IP address 2.0.0.0 is not a correct subnet mask as its 32-bit record looks as 00000010000000000000000000000000.\n\nTo get the network address of the IP address, you need to perform the operation of the bitwise \"and\" of the IP address and the subnet mask. For example, if the subnet mask is 255.192.0.0, and the IP address is 192.168.1.2, then the network address equals 192.128.0.0. In the bitwise \"and\" the result has a bit that equals 1 if and only if both operands have corresponding bits equal to one.\n\nNow Polycarpus wants to find all networks to which his IP addresses belong. Unfortunately, Polycarpus lost subnet mask. Fortunately, Polycarpus remembers that his IP addresses belonged to exactly k distinct networks. Help Polycarpus find the subnet mask, such that his IP addresses will belong to exactly k distinct networks. If there are several such subnet masks, find the one whose bit record contains the least number of ones. If such subnet mask do not exist, say so.\n\n\n-----Input-----\n\nThe first line contains two integers, n and k (1 ≤ k ≤ n ≤ 10^5) — the number of IP addresses and networks. The next n lines contain the IP addresses. It is guaranteed that all IP addresses are distinct.\n\n\n-----Output-----\n\nIn a single line print the IP address of the subnet mask in the format that is described in the statement, if the required subnet mask exists. Otherwise, print -1.\n\n\n-----Examples-----\nInput\n5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.254.0\nInput\n5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.0.0\nInput\n2 1\n255.0.0.1\n0.0.0.2\n\nOutput\n-1",
        "solutions": "[\"import math\\nimport re\\nfrom fractions import Fraction\\nfrom collections import Counter\\n\\nclass Task:\\n    ips = []\\n    k = 0\\n    answer = ''\\n    \\n    def __init__(self):\\n        n, self.k = [int(x) for x in input().split()]\\n        self.ips = ['' for _ in range(n)]\\n        for i in range(len(self.ips)):\\n            self.ips[i] = input()\\n\\n    def solve(self):\\n        ips, k = self.ips, self.k\\n        ipAsNumbers = []\\n        for currentIp in ips:\\n            number = 0\\n            parts = currentIp.split('.')\\n            for i in range(0, len(parts)):\\n                number += int(parts[i]) * 2**(32 - (i + 1) * 8)\\n            ipAsNumbers += [number]\\n\\n        mask = 0\\n        for i in range(31, -1, -1):\\n            mask += 2**i\\n            netAddresses = set()\\n            for ip in ipAsNumbers:\\n                netAddresses.add(mask & ip)\\n            if len(netAddresses) == k:\\n                mask = bin(mask)[2:]\\n                self.answer = '.'.join([str(int(mask[i : i + 8], 2)) \\\\\\n                    for i in range(0, len(mask), 8)])\\n                return\\n        self.answer = '-1'\\n\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #for line in self.answer:\\n        #    print(line)\\n\\ntask = Task()\\ntask.solve()\\ntask.printAnswer()\\n\", \"def f(t):\\n    a, b, c, d = map(int, t.split('.'))\\n    return d + (c << 8) + (b << 16) + (a << 24)\\n\\ndef g(x):\\n    p = [0] * 4\\n    for i in range(4):\\n        p[3 - i] = str(x % 256)\\n        x //= 256\\n    return '.'.join(p)\\n\\nn, k = map(int, input().split())\\nt = [f(input()) for i in range(n)]\\np = [0] * n\\nx = 1 << 31\\nfor i in range(32):\\n    for j, y in enumerate(t):\\n        if y & x: p[j] += x\\n    if len(set(p)) >= k: break\\n    x >>= 1\\nprint(-1 if len(set(p)) != k else g((1 << 32) - x))\", \"def parse(ip_address):\\n    a, b, c, d = [int(x) for x in ip_address.split('.')]\\n    return (a << 24) | (b << 16) | (c << 8) | d\\n\\nn, k = [int(x) for x in input().split()]\\nips = [parse(input()) for i in range(n)]\\nall_ones = (1 << 32) - 1\\neight_ones = (1 << 8) - 1\\nfor n_zeros in range(31, 0, -1):\\n    mask = all_ones << n_zeros\\n    if len(set(mask & ip for ip in ips)) == k:\\n        address = [(mask >> 24) & eight_ones, (mask >> 16) & eight_ones, (mask >> 8) & eight_ones, mask & eight_ones]\\n        print('.'.join(str(x) for x in address))\\n        return\\n\\nprint(-1)\"]",
        "difficulty": "interview",
        "input": "5 5\n223.122.75.125\n79.30.187.249\n231.244.158.56\n166.205.237.209\n82.85.12.212\n",
        "output": "240.0.0.0",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/291/C"
    },
    {
        "id": 393,
        "task_id": 1686,
        "test_case_id": 11,
        "question": "The problem uses a simplified TCP/IP address model, please make sure you've read the statement attentively.\n\nPolycarpus has found a job, he is a system administrator. One day he came across n IP addresses. Each IP address is a 32 bit number, represented as a group of four 8-bit numbers (without leading zeroes), separated by dots. For example, the record 0.255.1.123 shows a correct IP address and records 0.256.1.123 and 0.255.1.01 do not. In this problem an arbitrary group of four 8-bit numbers is a correct IP address.\n\nHaving worked as an administrator for some time, Polycarpus learned that if you know the IP address, you can use the subnet mask to get the address of the network that has this IP addess.\n\nThe subnet mask is an IP address that has the following property: if we write this IP address as a 32 bit string, that it is representable as \"11...11000..000\". In other words, the subnet mask first has one or more one bits, and then one or more zero bits (overall there are 32 bits). For example, the IP address 2.0.0.0 is not a correct subnet mask as its 32-bit record looks as 00000010000000000000000000000000.\n\nTo get the network address of the IP address, you need to perform the operation of the bitwise \"and\" of the IP address and the subnet mask. For example, if the subnet mask is 255.192.0.0, and the IP address is 192.168.1.2, then the network address equals 192.128.0.0. In the bitwise \"and\" the result has a bit that equals 1 if and only if both operands have corresponding bits equal to one.\n\nNow Polycarpus wants to find all networks to which his IP addresses belong. Unfortunately, Polycarpus lost subnet mask. Fortunately, Polycarpus remembers that his IP addresses belonged to exactly k distinct networks. Help Polycarpus find the subnet mask, such that his IP addresses will belong to exactly k distinct networks. If there are several such subnet masks, find the one whose bit record contains the least number of ones. If such subnet mask do not exist, say so.\n\n\n-----Input-----\n\nThe first line contains two integers, n and k (1 ≤ k ≤ n ≤ 10^5) — the number of IP addresses and networks. The next n lines contain the IP addresses. It is guaranteed that all IP addresses are distinct.\n\n\n-----Output-----\n\nIn a single line print the IP address of the subnet mask in the format that is described in the statement, if the required subnet mask exists. Otherwise, print -1.\n\n\n-----Examples-----\nInput\n5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.254.0\nInput\n5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.0.0\nInput\n2 1\n255.0.0.1\n0.0.0.2\n\nOutput\n-1",
        "solutions": "[\"import math\\nimport re\\nfrom fractions import Fraction\\nfrom collections import Counter\\n\\nclass Task:\\n    ips = []\\n    k = 0\\n    answer = ''\\n    \\n    def __init__(self):\\n        n, self.k = [int(x) for x in input().split()]\\n        self.ips = ['' for _ in range(n)]\\n        for i in range(len(self.ips)):\\n            self.ips[i] = input()\\n\\n    def solve(self):\\n        ips, k = self.ips, self.k\\n        ipAsNumbers = []\\n        for currentIp in ips:\\n            number = 0\\n            parts = currentIp.split('.')\\n            for i in range(0, len(parts)):\\n                number += int(parts[i]) * 2**(32 - (i + 1) * 8)\\n            ipAsNumbers += [number]\\n\\n        mask = 0\\n        for i in range(31, -1, -1):\\n            mask += 2**i\\n            netAddresses = set()\\n            for ip in ipAsNumbers:\\n                netAddresses.add(mask & ip)\\n            if len(netAddresses) == k:\\n                mask = bin(mask)[2:]\\n                self.answer = '.'.join([str(int(mask[i : i + 8], 2)) \\\\\\n                    for i in range(0, len(mask), 8)])\\n                return\\n        self.answer = '-1'\\n\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #for line in self.answer:\\n        #    print(line)\\n\\ntask = Task()\\ntask.solve()\\ntask.printAnswer()\\n\", \"def f(t):\\n    a, b, c, d = map(int, t.split('.'))\\n    return d + (c << 8) + (b << 16) + (a << 24)\\n\\ndef g(x):\\n    p = [0] * 4\\n    for i in range(4):\\n        p[3 - i] = str(x % 256)\\n        x //= 256\\n    return '.'.join(p)\\n\\nn, k = map(int, input().split())\\nt = [f(input()) for i in range(n)]\\np = [0] * n\\nx = 1 << 31\\nfor i in range(32):\\n    for j, y in enumerate(t):\\n        if y & x: p[j] += x\\n    if len(set(p)) >= k: break\\n    x >>= 1\\nprint(-1 if len(set(p)) != k else g((1 << 32) - x))\", \"def parse(ip_address):\\n    a, b, c, d = [int(x) for x in ip_address.split('.')]\\n    return (a << 24) | (b << 16) | (c << 8) | d\\n\\nn, k = [int(x) for x in input().split()]\\nips = [parse(input()) for i in range(n)]\\nall_ones = (1 << 32) - 1\\neight_ones = (1 << 8) - 1\\nfor n_zeros in range(31, 0, -1):\\n    mask = all_ones << n_zeros\\n    if len(set(mask & ip for ip in ips)) == k:\\n        address = [(mask >> 24) & eight_ones, (mask >> 16) & eight_ones, (mask >> 8) & eight_ones, mask & eight_ones]\\n        print('.'.join(str(x) for x in address))\\n        return\\n\\nprint(-1)\"]",
        "difficulty": "interview",
        "input": "2 1\n0.0.0.0\n0.0.0.1\n",
        "output": "128.0.0.0",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/291/C"
    },
    {
        "id": 394,
        "task_id": 1686,
        "test_case_id": 12,
        "question": "The problem uses a simplified TCP/IP address model, please make sure you've read the statement attentively.\n\nPolycarpus has found a job, he is a system administrator. One day he came across n IP addresses. Each IP address is a 32 bit number, represented as a group of four 8-bit numbers (without leading zeroes), separated by dots. For example, the record 0.255.1.123 shows a correct IP address and records 0.256.1.123 and 0.255.1.01 do not. In this problem an arbitrary group of four 8-bit numbers is a correct IP address.\n\nHaving worked as an administrator for some time, Polycarpus learned that if you know the IP address, you can use the subnet mask to get the address of the network that has this IP addess.\n\nThe subnet mask is an IP address that has the following property: if we write this IP address as a 32 bit string, that it is representable as \"11...11000..000\". In other words, the subnet mask first has one or more one bits, and then one or more zero bits (overall there are 32 bits). For example, the IP address 2.0.0.0 is not a correct subnet mask as its 32-bit record looks as 00000010000000000000000000000000.\n\nTo get the network address of the IP address, you need to perform the operation of the bitwise \"and\" of the IP address and the subnet mask. For example, if the subnet mask is 255.192.0.0, and the IP address is 192.168.1.2, then the network address equals 192.128.0.0. In the bitwise \"and\" the result has a bit that equals 1 if and only if both operands have corresponding bits equal to one.\n\nNow Polycarpus wants to find all networks to which his IP addresses belong. Unfortunately, Polycarpus lost subnet mask. Fortunately, Polycarpus remembers that his IP addresses belonged to exactly k distinct networks. Help Polycarpus find the subnet mask, such that his IP addresses will belong to exactly k distinct networks. If there are several such subnet masks, find the one whose bit record contains the least number of ones. If such subnet mask do not exist, say so.\n\n\n-----Input-----\n\nThe first line contains two integers, n and k (1 ≤ k ≤ n ≤ 10^5) — the number of IP addresses and networks. The next n lines contain the IP addresses. It is guaranteed that all IP addresses are distinct.\n\n\n-----Output-----\n\nIn a single line print the IP address of the subnet mask in the format that is described in the statement, if the required subnet mask exists. Otherwise, print -1.\n\n\n-----Examples-----\nInput\n5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.254.0\nInput\n5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.0.0\nInput\n2 1\n255.0.0.1\n0.0.0.2\n\nOutput\n-1",
        "solutions": "[\"import math\\nimport re\\nfrom fractions import Fraction\\nfrom collections import Counter\\n\\nclass Task:\\n    ips = []\\n    k = 0\\n    answer = ''\\n    \\n    def __init__(self):\\n        n, self.k = [int(x) for x in input().split()]\\n        self.ips = ['' for _ in range(n)]\\n        for i in range(len(self.ips)):\\n            self.ips[i] = input()\\n\\n    def solve(self):\\n        ips, k = self.ips, self.k\\n        ipAsNumbers = []\\n        for currentIp in ips:\\n            number = 0\\n            parts = currentIp.split('.')\\n            for i in range(0, len(parts)):\\n                number += int(parts[i]) * 2**(32 - (i + 1) * 8)\\n            ipAsNumbers += [number]\\n\\n        mask = 0\\n        for i in range(31, -1, -1):\\n            mask += 2**i\\n            netAddresses = set()\\n            for ip in ipAsNumbers:\\n                netAddresses.add(mask & ip)\\n            if len(netAddresses) == k:\\n                mask = bin(mask)[2:]\\n                self.answer = '.'.join([str(int(mask[i : i + 8], 2)) \\\\\\n                    for i in range(0, len(mask), 8)])\\n                return\\n        self.answer = '-1'\\n\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #for line in self.answer:\\n        #    print(line)\\n\\ntask = Task()\\ntask.solve()\\ntask.printAnswer()\\n\", \"def f(t):\\n    a, b, c, d = map(int, t.split('.'))\\n    return d + (c << 8) + (b << 16) + (a << 24)\\n\\ndef g(x):\\n    p = [0] * 4\\n    for i in range(4):\\n        p[3 - i] = str(x % 256)\\n        x //= 256\\n    return '.'.join(p)\\n\\nn, k = map(int, input().split())\\nt = [f(input()) for i in range(n)]\\np = [0] * n\\nx = 1 << 31\\nfor i in range(32):\\n    for j, y in enumerate(t):\\n        if y & x: p[j] += x\\n    if len(set(p)) >= k: break\\n    x >>= 1\\nprint(-1 if len(set(p)) != k else g((1 << 32) - x))\", \"def parse(ip_address):\\n    a, b, c, d = [int(x) for x in ip_address.split('.')]\\n    return (a << 24) | (b << 16) | (c << 8) | d\\n\\nn, k = [int(x) for x in input().split()]\\nips = [parse(input()) for i in range(n)]\\nall_ones = (1 << 32) - 1\\neight_ones = (1 << 8) - 1\\nfor n_zeros in range(31, 0, -1):\\n    mask = all_ones << n_zeros\\n    if len(set(mask & ip for ip in ips)) == k:\\n        address = [(mask >> 24) & eight_ones, (mask >> 16) & eight_ones, (mask >> 8) & eight_ones, mask & eight_ones]\\n        print('.'.join(str(x) for x in address))\\n        return\\n\\nprint(-1)\"]",
        "difficulty": "interview",
        "input": "2 2\n0.0.0.0\n1.0.0.1\n",
        "output": "255.0.0.0",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/291/C"
    },
    {
        "id": 395,
        "task_id": 1686,
        "test_case_id": 13,
        "question": "The problem uses a simplified TCP/IP address model, please make sure you've read the statement attentively.\n\nPolycarpus has found a job, he is a system administrator. One day he came across n IP addresses. Each IP address is a 32 bit number, represented as a group of four 8-bit numbers (without leading zeroes), separated by dots. For example, the record 0.255.1.123 shows a correct IP address and records 0.256.1.123 and 0.255.1.01 do not. In this problem an arbitrary group of four 8-bit numbers is a correct IP address.\n\nHaving worked as an administrator for some time, Polycarpus learned that if you know the IP address, you can use the subnet mask to get the address of the network that has this IP addess.\n\nThe subnet mask is an IP address that has the following property: if we write this IP address as a 32 bit string, that it is representable as \"11...11000..000\". In other words, the subnet mask first has one or more one bits, and then one or more zero bits (overall there are 32 bits). For example, the IP address 2.0.0.0 is not a correct subnet mask as its 32-bit record looks as 00000010000000000000000000000000.\n\nTo get the network address of the IP address, you need to perform the operation of the bitwise \"and\" of the IP address and the subnet mask. For example, if the subnet mask is 255.192.0.0, and the IP address is 192.168.1.2, then the network address equals 192.128.0.0. In the bitwise \"and\" the result has a bit that equals 1 if and only if both operands have corresponding bits equal to one.\n\nNow Polycarpus wants to find all networks to which his IP addresses belong. Unfortunately, Polycarpus lost subnet mask. Fortunately, Polycarpus remembers that his IP addresses belonged to exactly k distinct networks. Help Polycarpus find the subnet mask, such that his IP addresses will belong to exactly k distinct networks. If there are several such subnet masks, find the one whose bit record contains the least number of ones. If such subnet mask do not exist, say so.\n\n\n-----Input-----\n\nThe first line contains two integers, n and k (1 ≤ k ≤ n ≤ 10^5) — the number of IP addresses and networks. The next n lines contain the IP addresses. It is guaranteed that all IP addresses are distinct.\n\n\n-----Output-----\n\nIn a single line print the IP address of the subnet mask in the format that is described in the statement, if the required subnet mask exists. Otherwise, print -1.\n\n\n-----Examples-----\nInput\n5 3\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.254.0\nInput\n5 2\n0.0.0.1\n0.1.1.2\n0.0.2.1\n0.1.1.0\n0.0.2.3\n\nOutput\n255.255.0.0\nInput\n2 1\n255.0.0.1\n0.0.0.2\n\nOutput\n-1",
        "solutions": "[\"import math\\nimport re\\nfrom fractions import Fraction\\nfrom collections import Counter\\n\\nclass Task:\\n    ips = []\\n    k = 0\\n    answer = ''\\n    \\n    def __init__(self):\\n        n, self.k = [int(x) for x in input().split()]\\n        self.ips = ['' for _ in range(n)]\\n        for i in range(len(self.ips)):\\n            self.ips[i] = input()\\n\\n    def solve(self):\\n        ips, k = self.ips, self.k\\n        ipAsNumbers = []\\n        for currentIp in ips:\\n            number = 0\\n            parts = currentIp.split('.')\\n            for i in range(0, len(parts)):\\n                number += int(parts[i]) * 2**(32 - (i + 1) * 8)\\n            ipAsNumbers += [number]\\n\\n        mask = 0\\n        for i in range(31, -1, -1):\\n            mask += 2**i\\n            netAddresses = set()\\n            for ip in ipAsNumbers:\\n                netAddresses.add(mask & ip)\\n            if len(netAddresses) == k:\\n                mask = bin(mask)[2:]\\n                self.answer = '.'.join([str(int(mask[i : i + 8], 2)) \\\\\\n                    for i in range(0, len(mask), 8)])\\n                return\\n        self.answer = '-1'\\n\\n\\n    def printAnswer(self):\\n        print(self.answer)\\n        #for line in self.answer:\\n        #    print(line)\\n\\ntask = Task()\\ntask.solve()\\ntask.printAnswer()\\n\", \"def f(t):\\n    a, b, c, d = map(int, t.split('.'))\\n    return d + (c << 8) + (b << 16) + (a << 24)\\n\\ndef g(x):\\n    p = [0] * 4\\n    for i in range(4):\\n        p[3 - i] = str(x % 256)\\n        x //= 256\\n    return '.'.join(p)\\n\\nn, k = map(int, input().split())\\nt = [f(input()) for i in range(n)]\\np = [0] * n\\nx = 1 << 31\\nfor i in range(32):\\n    for j, y in enumerate(t):\\n        if y & x: p[j] += x\\n    if len(set(p)) >= k: break\\n    x >>= 1\\nprint(-1 if len(set(p)) != k else g((1 << 32) - x))\", \"def parse(ip_address):\\n    a, b, c, d = [int(x) for x in ip_address.split('.')]\\n    return (a << 24) | (b << 16) | (c << 8) | d\\n\\nn, k = [int(x) for x in input().split()]\\nips = [parse(input()) for i in range(n)]\\nall_ones = (1 << 32) - 1\\neight_ones = (1 << 8) - 1\\nfor n_zeros in range(31, 0, -1):\\n    mask = all_ones << n_zeros\\n    if len(set(mask & ip for ip in ips)) == k:\\n        address = [(mask >> 24) & eight_ones, (mask >> 16) & eight_ones, (mask >> 8) & eight_ones, mask & eight_ones]\\n        print('.'.join(str(x) for x in address))\\n        return\\n\\nprint(-1)\"]",
        "difficulty": "interview",
        "input": "1 1\n0.0.0.0\n",
        "output": "128.0.0.0",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/291/C"
    },
    {
        "id": 396,
        "task_id": 1983,
        "test_case_id": 1,
        "question": "Ehab has an array $a$ of length $n$. He has just enough free time to make a new array consisting of $n$ copies of the old array, written back-to-back. What will be the length of the new array's longest increasing subsequence?\n\nA sequence $a$ is a subsequence of an array $b$ if $a$ can be obtained from $b$ by deletion of several (possibly, zero or all) elements. The longest increasing subsequence of an array is the longest subsequence such that its elements are ordered in strictly increasing order.\n\n\n-----Input-----\n\nThe first line contains an integer $t$ — the number of test cases you need to solve. The description of the test cases follows.\n\nThe first line of each test case contains an integer $n$ ($1 \\le n \\le 10^5$) — the number of elements in the array $a$.\n\nThe second line contains $n$ space-separated integers $a_1$, $a_2$, $\\ldots$, $a_{n}$ ($1 \\le a_i \\le 10^9$) — the elements of the array $a$.\n\nThe sum of $n$ across the test cases doesn't exceed $10^5$.\n\n\n-----Output-----\n\nFor each testcase, output the length of the longest increasing subsequence of $a$ if you concatenate it to itself $n$ times.\n\n\n-----Example-----\nInput\n2\n3\n3 2 1\n6\n3 1 4 1 5 9\n\nOutput\n3\n5\n\n\n\n-----Note-----\n\nIn the first sample, the new array is $[3,2,\\textbf{1},3,\\textbf{2},1,\\textbf{3},2,1]$. The longest increasing subsequence is marked in bold.\n\nIn the second sample, the longest increasing subsequence will be $[1,3,4,5,9]$.",
        "solutions": "[\"#list(map(int,input().split()))\\nt=int(input())\\nfor _ in range(t):\\n    n=int(input())\\n    it=list(map(int,input().split()))\\n    print(len(set(it)))\\n\", \"for _ in range(int(input())):\\n\\tn = int(input())\\n\\ta = [int(i) for i in input().split()]\\n\\tprint(len(set(a)))\", \"import sys\\ninput = sys.stdin.readline\\n\\nt = int(input())\\nfor _ in range(t):\\n    input()\\n    print(len(set(map(int, input().split()))))\\n\", \"a = int(input())\\nfor i in range(a):\\n    o = int(input())\\n    u = list(map(int, input().split()))\\n    print(len(set(u)))\", \"t = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    set_ = set(a)\\n    print(len(set_))\", \"\\n\\nfor _ in range(int(input())):\\n\\tn=int(input())\\n\\ta=list(map(int,input().split()))\\n\\tprint(len(set(a)))\", \"for nt in range(int(input())):\\n\\tn=int(input())\\n\\tl=list(map(int,input().split()))\\n\\tl=set(l)\\n\\tl=list(l)\\n\\tprint (len(l))\", \"#!/usr/bin/env python\\n#-*- coding:utf-8 -*-\\n\\n# Code by H~$~C\\n\\nfrom sys import stdin\\ninput = stdin.readline\\nimport math\\n\\nfor i in range(int(input())):\\n  n = int(input())\\n  arr = sorted(list(map(int, input().split())))\\n  ans = n\\n  for j in range(n - 1):\\n    if (arr[j + 1] == arr[j]):\\n      ans -= 1\\n  print(ans)\", \"t = int(input())\\n\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().strip().split()))\\n\\n    print(len(set(a)))\", \"t = int(input())\\nwhile(t):\\n    t -= 1\\n    n = int(input())\\n    a = set(map(int, input().split()))\\n    print(len(a))\", \"import sys\\nreader = (s.rstrip() for s in sys.stdin)\\ninput = reader.__next__\\n\\ndef solve():\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    ans = len(set(a))\\n    print(ans)\\n\\nt = int(input())\\nfor i in range(t):\\n    solve()\\n\", \"t = int(input())\\nfor _ in range(t):\\n\\tn = int(input())\\n\\ta = set(map(int, input().split()))\\n\\tprint(len(a))\", \"from bisect import bisect_left as bl, bisect_right as br, insort\\nimport sys\\nimport heapq\\nfrom math import *\\nfrom collections import defaultdict as dd, deque\\ndef data(): return sys.stdin.readline().strip()\\ndef mdata(): return map(int, data().split())\\n#sys.setrecursionlimit(100000)\\n\\nfor i in range(int(data())):\\n    n=int(data())\\n    A=set(mdata())\\n    print(len(A))\", \"from sys import stdin,stdout                           #\\nimport math                                            #\\nimport heapq                                           #\\n                                                       #\\nt = 1                                                  #\\ndef aint():                                            #\\n\\treturn int(input().strip())                        #\\ndef lint():                                            #\\n\\treturn list(map(int,input().split()))              #\\ndef fint():                                            #\\n\\treturn list(map(int,stdin.readline().split()))     #\\n                                                       #\\t\\n########################################################\\n\\ndef main():\\n\\tn=aint()\\n\\tl=lint()\\n\\tprint(len(set(l)))\\n\\t#solve\\n\\nt=int(input())\\n\\n########################################################\\nfor i in range(t):                                     #\\n\\tmain()                                             #\", \"import sys\\ninput = sys.stdin.readline\\n\\nt=int(input())\\nfor tests in range(t):\\n    n=int(input())\\n    A=list(map(int,input().split()))\\n    print(len(set(A)))\\n    \\n\"]",
        "difficulty": "interview",
        "input": "2\n3\n3 2 1\n6\n3 1 4 1 5 9\n",
        "output": "3\n5\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1325/B"
    },
    {
        "id": 397,
        "task_id": 1983,
        "test_case_id": 2,
        "question": "Ehab has an array $a$ of length $n$. He has just enough free time to make a new array consisting of $n$ copies of the old array, written back-to-back. What will be the length of the new array's longest increasing subsequence?\n\nA sequence $a$ is a subsequence of an array $b$ if $a$ can be obtained from $b$ by deletion of several (possibly, zero or all) elements. The longest increasing subsequence of an array is the longest subsequence such that its elements are ordered in strictly increasing order.\n\n\n-----Input-----\n\nThe first line contains an integer $t$ — the number of test cases you need to solve. The description of the test cases follows.\n\nThe first line of each test case contains an integer $n$ ($1 \\le n \\le 10^5$) — the number of elements in the array $a$.\n\nThe second line contains $n$ space-separated integers $a_1$, $a_2$, $\\ldots$, $a_{n}$ ($1 \\le a_i \\le 10^9$) — the elements of the array $a$.\n\nThe sum of $n$ across the test cases doesn't exceed $10^5$.\n\n\n-----Output-----\n\nFor each testcase, output the length of the longest increasing subsequence of $a$ if you concatenate it to itself $n$ times.\n\n\n-----Example-----\nInput\n2\n3\n3 2 1\n6\n3 1 4 1 5 9\n\nOutput\n3\n5\n\n\n\n-----Note-----\n\nIn the first sample, the new array is $[3,2,\\textbf{1},3,\\textbf{2},1,\\textbf{3},2,1]$. The longest increasing subsequence is marked in bold.\n\nIn the second sample, the longest increasing subsequence will be $[1,3,4,5,9]$.",
        "solutions": "[\"#list(map(int,input().split()))\\nt=int(input())\\nfor _ in range(t):\\n    n=int(input())\\n    it=list(map(int,input().split()))\\n    print(len(set(it)))\\n\", \"for _ in range(int(input())):\\n\\tn = int(input())\\n\\ta = [int(i) for i in input().split()]\\n\\tprint(len(set(a)))\", \"import sys\\ninput = sys.stdin.readline\\n\\nt = int(input())\\nfor _ in range(t):\\n    input()\\n    print(len(set(map(int, input().split()))))\\n\", \"a = int(input())\\nfor i in range(a):\\n    o = int(input())\\n    u = list(map(int, input().split()))\\n    print(len(set(u)))\", \"t = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    set_ = set(a)\\n    print(len(set_))\", \"\\n\\nfor _ in range(int(input())):\\n\\tn=int(input())\\n\\ta=list(map(int,input().split()))\\n\\tprint(len(set(a)))\", \"for nt in range(int(input())):\\n\\tn=int(input())\\n\\tl=list(map(int,input().split()))\\n\\tl=set(l)\\n\\tl=list(l)\\n\\tprint (len(l))\", \"#!/usr/bin/env python\\n#-*- coding:utf-8 -*-\\n\\n# Code by H~$~C\\n\\nfrom sys import stdin\\ninput = stdin.readline\\nimport math\\n\\nfor i in range(int(input())):\\n  n = int(input())\\n  arr = sorted(list(map(int, input().split())))\\n  ans = n\\n  for j in range(n - 1):\\n    if (arr[j + 1] == arr[j]):\\n      ans -= 1\\n  print(ans)\", \"t = int(input())\\n\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().strip().split()))\\n\\n    print(len(set(a)))\", \"t = int(input())\\nwhile(t):\\n    t -= 1\\n    n = int(input())\\n    a = set(map(int, input().split()))\\n    print(len(a))\", \"import sys\\nreader = (s.rstrip() for s in sys.stdin)\\ninput = reader.__next__\\n\\ndef solve():\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    ans = len(set(a))\\n    print(ans)\\n\\nt = int(input())\\nfor i in range(t):\\n    solve()\\n\", \"t = int(input())\\nfor _ in range(t):\\n\\tn = int(input())\\n\\ta = set(map(int, input().split()))\\n\\tprint(len(a))\", \"from bisect import bisect_left as bl, bisect_right as br, insort\\nimport sys\\nimport heapq\\nfrom math import *\\nfrom collections import defaultdict as dd, deque\\ndef data(): return sys.stdin.readline().strip()\\ndef mdata(): return map(int, data().split())\\n#sys.setrecursionlimit(100000)\\n\\nfor i in range(int(data())):\\n    n=int(data())\\n    A=set(mdata())\\n    print(len(A))\", \"from sys import stdin,stdout                           #\\nimport math                                            #\\nimport heapq                                           #\\n                                                       #\\nt = 1                                                  #\\ndef aint():                                            #\\n\\treturn int(input().strip())                        #\\ndef lint():                                            #\\n\\treturn list(map(int,input().split()))              #\\ndef fint():                                            #\\n\\treturn list(map(int,stdin.readline().split()))     #\\n                                                       #\\t\\n########################################################\\n\\ndef main():\\n\\tn=aint()\\n\\tl=lint()\\n\\tprint(len(set(l)))\\n\\t#solve\\n\\nt=int(input())\\n\\n########################################################\\nfor i in range(t):                                     #\\n\\tmain()                                             #\", \"import sys\\ninput = sys.stdin.readline\\n\\nt=int(input())\\nfor tests in range(t):\\n    n=int(input())\\n    A=list(map(int,input().split()))\\n    print(len(set(A)))\\n    \\n\"]",
        "difficulty": "interview",
        "input": "4\n7\n6 6 8 8 6 6 6\n1\n2\n5\n4 5 9 8 7\n7\n1 2 7 1 6 10 2\n",
        "output": "2\n1\n5\n5\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1325/B"
    },
    {
        "id": 398,
        "task_id": 1983,
        "test_case_id": 3,
        "question": "Ehab has an array $a$ of length $n$. He has just enough free time to make a new array consisting of $n$ copies of the old array, written back-to-back. What will be the length of the new array's longest increasing subsequence?\n\nA sequence $a$ is a subsequence of an array $b$ if $a$ can be obtained from $b$ by deletion of several (possibly, zero or all) elements. The longest increasing subsequence of an array is the longest subsequence such that its elements are ordered in strictly increasing order.\n\n\n-----Input-----\n\nThe first line contains an integer $t$ — the number of test cases you need to solve. The description of the test cases follows.\n\nThe first line of each test case contains an integer $n$ ($1 \\le n \\le 10^5$) — the number of elements in the array $a$.\n\nThe second line contains $n$ space-separated integers $a_1$, $a_2$, $\\ldots$, $a_{n}$ ($1 \\le a_i \\le 10^9$) — the elements of the array $a$.\n\nThe sum of $n$ across the test cases doesn't exceed $10^5$.\n\n\n-----Output-----\n\nFor each testcase, output the length of the longest increasing subsequence of $a$ if you concatenate it to itself $n$ times.\n\n\n-----Example-----\nInput\n2\n3\n3 2 1\n6\n3 1 4 1 5 9\n\nOutput\n3\n5\n\n\n\n-----Note-----\n\nIn the first sample, the new array is $[3,2,\\textbf{1},3,\\textbf{2},1,\\textbf{3},2,1]$. The longest increasing subsequence is marked in bold.\n\nIn the second sample, the longest increasing subsequence will be $[1,3,4,5,9]$.",
        "solutions": "[\"#list(map(int,input().split()))\\nt=int(input())\\nfor _ in range(t):\\n    n=int(input())\\n    it=list(map(int,input().split()))\\n    print(len(set(it)))\\n\", \"for _ in range(int(input())):\\n\\tn = int(input())\\n\\ta = [int(i) for i in input().split()]\\n\\tprint(len(set(a)))\", \"import sys\\ninput = sys.stdin.readline\\n\\nt = int(input())\\nfor _ in range(t):\\n    input()\\n    print(len(set(map(int, input().split()))))\\n\", \"a = int(input())\\nfor i in range(a):\\n    o = int(input())\\n    u = list(map(int, input().split()))\\n    print(len(set(u)))\", \"t = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    set_ = set(a)\\n    print(len(set_))\", \"\\n\\nfor _ in range(int(input())):\\n\\tn=int(input())\\n\\ta=list(map(int,input().split()))\\n\\tprint(len(set(a)))\", \"for nt in range(int(input())):\\n\\tn=int(input())\\n\\tl=list(map(int,input().split()))\\n\\tl=set(l)\\n\\tl=list(l)\\n\\tprint (len(l))\", \"#!/usr/bin/env python\\n#-*- coding:utf-8 -*-\\n\\n# Code by H~$~C\\n\\nfrom sys import stdin\\ninput = stdin.readline\\nimport math\\n\\nfor i in range(int(input())):\\n  n = int(input())\\n  arr = sorted(list(map(int, input().split())))\\n  ans = n\\n  for j in range(n - 1):\\n    if (arr[j + 1] == arr[j]):\\n      ans -= 1\\n  print(ans)\", \"t = int(input())\\n\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().strip().split()))\\n\\n    print(len(set(a)))\", \"t = int(input())\\nwhile(t):\\n    t -= 1\\n    n = int(input())\\n    a = set(map(int, input().split()))\\n    print(len(a))\", \"import sys\\nreader = (s.rstrip() for s in sys.stdin)\\ninput = reader.__next__\\n\\ndef solve():\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    ans = len(set(a))\\n    print(ans)\\n\\nt = int(input())\\nfor i in range(t):\\n    solve()\\n\", \"t = int(input())\\nfor _ in range(t):\\n\\tn = int(input())\\n\\ta = set(map(int, input().split()))\\n\\tprint(len(a))\", \"from bisect import bisect_left as bl, bisect_right as br, insort\\nimport sys\\nimport heapq\\nfrom math import *\\nfrom collections import defaultdict as dd, deque\\ndef data(): return sys.stdin.readline().strip()\\ndef mdata(): return map(int, data().split())\\n#sys.setrecursionlimit(100000)\\n\\nfor i in range(int(data())):\\n    n=int(data())\\n    A=set(mdata())\\n    print(len(A))\", \"from sys import stdin,stdout                           #\\nimport math                                            #\\nimport heapq                                           #\\n                                                       #\\nt = 1                                                  #\\ndef aint():                                            #\\n\\treturn int(input().strip())                        #\\ndef lint():                                            #\\n\\treturn list(map(int,input().split()))              #\\ndef fint():                                            #\\n\\treturn list(map(int,stdin.readline().split()))     #\\n                                                       #\\t\\n########################################################\\n\\ndef main():\\n\\tn=aint()\\n\\tl=lint()\\n\\tprint(len(set(l)))\\n\\t#solve\\n\\nt=int(input())\\n\\n########################################################\\nfor i in range(t):                                     #\\n\\tmain()                                             #\", \"import sys\\ninput = sys.stdin.readline\\n\\nt=int(input())\\nfor tests in range(t):\\n    n=int(input())\\n    A=list(map(int,input().split()))\\n    print(len(set(A)))\\n    \\n\"]",
        "difficulty": "interview",
        "input": "2\n5\n5 5 5 5 5\n3\n1 2 5\n",
        "output": "1\n3\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1325/B"
    },
    {
        "id": 399,
        "task_id": 1983,
        "test_case_id": 4,
        "question": "Ehab has an array $a$ of length $n$. He has just enough free time to make a new array consisting of $n$ copies of the old array, written back-to-back. What will be the length of the new array's longest increasing subsequence?\n\nA sequence $a$ is a subsequence of an array $b$ if $a$ can be obtained from $b$ by deletion of several (possibly, zero or all) elements. The longest increasing subsequence of an array is the longest subsequence such that its elements are ordered in strictly increasing order.\n\n\n-----Input-----\n\nThe first line contains an integer $t$ — the number of test cases you need to solve. The description of the test cases follows.\n\nThe first line of each test case contains an integer $n$ ($1 \\le n \\le 10^5$) — the number of elements in the array $a$.\n\nThe second line contains $n$ space-separated integers $a_1$, $a_2$, $\\ldots$, $a_{n}$ ($1 \\le a_i \\le 10^9$) — the elements of the array $a$.\n\nThe sum of $n$ across the test cases doesn't exceed $10^5$.\n\n\n-----Output-----\n\nFor each testcase, output the length of the longest increasing subsequence of $a$ if you concatenate it to itself $n$ times.\n\n\n-----Example-----\nInput\n2\n3\n3 2 1\n6\n3 1 4 1 5 9\n\nOutput\n3\n5\n\n\n\n-----Note-----\n\nIn the first sample, the new array is $[3,2,\\textbf{1},3,\\textbf{2},1,\\textbf{3},2,1]$. The longest increasing subsequence is marked in bold.\n\nIn the second sample, the longest increasing subsequence will be $[1,3,4,5,9]$.",
        "solutions": "[\"#list(map(int,input().split()))\\nt=int(input())\\nfor _ in range(t):\\n    n=int(input())\\n    it=list(map(int,input().split()))\\n    print(len(set(it)))\\n\", \"for _ in range(int(input())):\\n\\tn = int(input())\\n\\ta = [int(i) for i in input().split()]\\n\\tprint(len(set(a)))\", \"import sys\\ninput = sys.stdin.readline\\n\\nt = int(input())\\nfor _ in range(t):\\n    input()\\n    print(len(set(map(int, input().split()))))\\n\", \"a = int(input())\\nfor i in range(a):\\n    o = int(input())\\n    u = list(map(int, input().split()))\\n    print(len(set(u)))\", \"t = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    set_ = set(a)\\n    print(len(set_))\", \"\\n\\nfor _ in range(int(input())):\\n\\tn=int(input())\\n\\ta=list(map(int,input().split()))\\n\\tprint(len(set(a)))\", \"for nt in range(int(input())):\\n\\tn=int(input())\\n\\tl=list(map(int,input().split()))\\n\\tl=set(l)\\n\\tl=list(l)\\n\\tprint (len(l))\", \"#!/usr/bin/env python\\n#-*- coding:utf-8 -*-\\n\\n# Code by H~$~C\\n\\nfrom sys import stdin\\ninput = stdin.readline\\nimport math\\n\\nfor i in range(int(input())):\\n  n = int(input())\\n  arr = sorted(list(map(int, input().split())))\\n  ans = n\\n  for j in range(n - 1):\\n    if (arr[j + 1] == arr[j]):\\n      ans -= 1\\n  print(ans)\", \"t = int(input())\\n\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().strip().split()))\\n\\n    print(len(set(a)))\", \"t = int(input())\\nwhile(t):\\n    t -= 1\\n    n = int(input())\\n    a = set(map(int, input().split()))\\n    print(len(a))\", \"import sys\\nreader = (s.rstrip() for s in sys.stdin)\\ninput = reader.__next__\\n\\ndef solve():\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    ans = len(set(a))\\n    print(ans)\\n\\nt = int(input())\\nfor i in range(t):\\n    solve()\\n\", \"t = int(input())\\nfor _ in range(t):\\n\\tn = int(input())\\n\\ta = set(map(int, input().split()))\\n\\tprint(len(a))\", \"from bisect import bisect_left as bl, bisect_right as br, insort\\nimport sys\\nimport heapq\\nfrom math import *\\nfrom collections import defaultdict as dd, deque\\ndef data(): return sys.stdin.readline().strip()\\ndef mdata(): return map(int, data().split())\\n#sys.setrecursionlimit(100000)\\n\\nfor i in range(int(data())):\\n    n=int(data())\\n    A=set(mdata())\\n    print(len(A))\", \"from sys import stdin,stdout                           #\\nimport math                                            #\\nimport heapq                                           #\\n                                                       #\\nt = 1                                                  #\\ndef aint():                                            #\\n\\treturn int(input().strip())                        #\\ndef lint():                                            #\\n\\treturn list(map(int,input().split()))              #\\ndef fint():                                            #\\n\\treturn list(map(int,stdin.readline().split()))     #\\n                                                       #\\t\\n########################################################\\n\\ndef main():\\n\\tn=aint()\\n\\tl=lint()\\n\\tprint(len(set(l)))\\n\\t#solve\\n\\nt=int(input())\\n\\n########################################################\\nfor i in range(t):                                     #\\n\\tmain()                                             #\", \"import sys\\ninput = sys.stdin.readline\\n\\nt=int(input())\\nfor tests in range(t):\\n    n=int(input())\\n    A=list(map(int,input().split()))\\n    print(len(set(A)))\\n    \\n\"]",
        "difficulty": "interview",
        "input": "2\n5\n1 2 3 4 5\n4\n2 3 4 5\n",
        "output": "5\n4\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1325/B"
    },
    {
        "id": 400,
        "task_id": 1983,
        "test_case_id": 5,
        "question": "Ehab has an array $a$ of length $n$. He has just enough free time to make a new array consisting of $n$ copies of the old array, written back-to-back. What will be the length of the new array's longest increasing subsequence?\n\nA sequence $a$ is a subsequence of an array $b$ if $a$ can be obtained from $b$ by deletion of several (possibly, zero or all) elements. The longest increasing subsequence of an array is the longest subsequence such that its elements are ordered in strictly increasing order.\n\n\n-----Input-----\n\nThe first line contains an integer $t$ — the number of test cases you need to solve. The description of the test cases follows.\n\nThe first line of each test case contains an integer $n$ ($1 \\le n \\le 10^5$) — the number of elements in the array $a$.\n\nThe second line contains $n$ space-separated integers $a_1$, $a_2$, $\\ldots$, $a_{n}$ ($1 \\le a_i \\le 10^9$) — the elements of the array $a$.\n\nThe sum of $n$ across the test cases doesn't exceed $10^5$.\n\n\n-----Output-----\n\nFor each testcase, output the length of the longest increasing subsequence of $a$ if you concatenate it to itself $n$ times.\n\n\n-----Example-----\nInput\n2\n3\n3 2 1\n6\n3 1 4 1 5 9\n\nOutput\n3\n5\n\n\n\n-----Note-----\n\nIn the first sample, the new array is $[3,2,\\textbf{1},3,\\textbf{2},1,\\textbf{3},2,1]$. The longest increasing subsequence is marked in bold.\n\nIn the second sample, the longest increasing subsequence will be $[1,3,4,5,9]$.",
        "solutions": "[\"#list(map(int,input().split()))\\nt=int(input())\\nfor _ in range(t):\\n    n=int(input())\\n    it=list(map(int,input().split()))\\n    print(len(set(it)))\\n\", \"for _ in range(int(input())):\\n\\tn = int(input())\\n\\ta = [int(i) for i in input().split()]\\n\\tprint(len(set(a)))\", \"import sys\\ninput = sys.stdin.readline\\n\\nt = int(input())\\nfor _ in range(t):\\n    input()\\n    print(len(set(map(int, input().split()))))\\n\", \"a = int(input())\\nfor i in range(a):\\n    o = int(input())\\n    u = list(map(int, input().split()))\\n    print(len(set(u)))\", \"t = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    set_ = set(a)\\n    print(len(set_))\", \"\\n\\nfor _ in range(int(input())):\\n\\tn=int(input())\\n\\ta=list(map(int,input().split()))\\n\\tprint(len(set(a)))\", \"for nt in range(int(input())):\\n\\tn=int(input())\\n\\tl=list(map(int,input().split()))\\n\\tl=set(l)\\n\\tl=list(l)\\n\\tprint (len(l))\", \"#!/usr/bin/env python\\n#-*- coding:utf-8 -*-\\n\\n# Code by H~$~C\\n\\nfrom sys import stdin\\ninput = stdin.readline\\nimport math\\n\\nfor i in range(int(input())):\\n  n = int(input())\\n  arr = sorted(list(map(int, input().split())))\\n  ans = n\\n  for j in range(n - 1):\\n    if (arr[j + 1] == arr[j]):\\n      ans -= 1\\n  print(ans)\", \"t = int(input())\\n\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().strip().split()))\\n\\n    print(len(set(a)))\", \"t = int(input())\\nwhile(t):\\n    t -= 1\\n    n = int(input())\\n    a = set(map(int, input().split()))\\n    print(len(a))\", \"import sys\\nreader = (s.rstrip() for s in sys.stdin)\\ninput = reader.__next__\\n\\ndef solve():\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    ans = len(set(a))\\n    print(ans)\\n\\nt = int(input())\\nfor i in range(t):\\n    solve()\\n\", \"t = int(input())\\nfor _ in range(t):\\n\\tn = int(input())\\n\\ta = set(map(int, input().split()))\\n\\tprint(len(a))\", \"from bisect import bisect_left as bl, bisect_right as br, insort\\nimport sys\\nimport heapq\\nfrom math import *\\nfrom collections import defaultdict as dd, deque\\ndef data(): return sys.stdin.readline().strip()\\ndef mdata(): return map(int, data().split())\\n#sys.setrecursionlimit(100000)\\n\\nfor i in range(int(data())):\\n    n=int(data())\\n    A=set(mdata())\\n    print(len(A))\", \"from sys import stdin,stdout                           #\\nimport math                                            #\\nimport heapq                                           #\\n                                                       #\\nt = 1                                                  #\\ndef aint():                                            #\\n\\treturn int(input().strip())                        #\\ndef lint():                                            #\\n\\treturn list(map(int,input().split()))              #\\ndef fint():                                            #\\n\\treturn list(map(int,stdin.readline().split()))     #\\n                                                       #\\t\\n########################################################\\n\\ndef main():\\n\\tn=aint()\\n\\tl=lint()\\n\\tprint(len(set(l)))\\n\\t#solve\\n\\nt=int(input())\\n\\n########################################################\\nfor i in range(t):                                     #\\n\\tmain()                                             #\", \"import sys\\ninput = sys.stdin.readline\\n\\nt=int(input())\\nfor tests in range(t):\\n    n=int(input())\\n    A=list(map(int,input().split()))\\n    print(len(set(A)))\\n    \\n\"]",
        "difficulty": "interview",
        "input": "1\n3\n1 1 274005660\n",
        "output": "2\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1325/B"
    },
    {
        "id": 401,
        "task_id": 1983,
        "test_case_id": 6,
        "question": "Ehab has an array $a$ of length $n$. He has just enough free time to make a new array consisting of $n$ copies of the old array, written back-to-back. What will be the length of the new array's longest increasing subsequence?\n\nA sequence $a$ is a subsequence of an array $b$ if $a$ can be obtained from $b$ by deletion of several (possibly, zero or all) elements. The longest increasing subsequence of an array is the longest subsequence such that its elements are ordered in strictly increasing order.\n\n\n-----Input-----\n\nThe first line contains an integer $t$ — the number of test cases you need to solve. The description of the test cases follows.\n\nThe first line of each test case contains an integer $n$ ($1 \\le n \\le 10^5$) — the number of elements in the array $a$.\n\nThe second line contains $n$ space-separated integers $a_1$, $a_2$, $\\ldots$, $a_{n}$ ($1 \\le a_i \\le 10^9$) — the elements of the array $a$.\n\nThe sum of $n$ across the test cases doesn't exceed $10^5$.\n\n\n-----Output-----\n\nFor each testcase, output the length of the longest increasing subsequence of $a$ if you concatenate it to itself $n$ times.\n\n\n-----Example-----\nInput\n2\n3\n3 2 1\n6\n3 1 4 1 5 9\n\nOutput\n3\n5\n\n\n\n-----Note-----\n\nIn the first sample, the new array is $[3,2,\\textbf{1},3,\\textbf{2},1,\\textbf{3},2,1]$. The longest increasing subsequence is marked in bold.\n\nIn the second sample, the longest increasing subsequence will be $[1,3,4,5,9]$.",
        "solutions": "[\"#list(map(int,input().split()))\\nt=int(input())\\nfor _ in range(t):\\n    n=int(input())\\n    it=list(map(int,input().split()))\\n    print(len(set(it)))\\n\", \"for _ in range(int(input())):\\n\\tn = int(input())\\n\\ta = [int(i) for i in input().split()]\\n\\tprint(len(set(a)))\", \"import sys\\ninput = sys.stdin.readline\\n\\nt = int(input())\\nfor _ in range(t):\\n    input()\\n    print(len(set(map(int, input().split()))))\\n\", \"a = int(input())\\nfor i in range(a):\\n    o = int(input())\\n    u = list(map(int, input().split()))\\n    print(len(set(u)))\", \"t = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    set_ = set(a)\\n    print(len(set_))\", \"\\n\\nfor _ in range(int(input())):\\n\\tn=int(input())\\n\\ta=list(map(int,input().split()))\\n\\tprint(len(set(a)))\", \"for nt in range(int(input())):\\n\\tn=int(input())\\n\\tl=list(map(int,input().split()))\\n\\tl=set(l)\\n\\tl=list(l)\\n\\tprint (len(l))\", \"#!/usr/bin/env python\\n#-*- coding:utf-8 -*-\\n\\n# Code by H~$~C\\n\\nfrom sys import stdin\\ninput = stdin.readline\\nimport math\\n\\nfor i in range(int(input())):\\n  n = int(input())\\n  arr = sorted(list(map(int, input().split())))\\n  ans = n\\n  for j in range(n - 1):\\n    if (arr[j + 1] == arr[j]):\\n      ans -= 1\\n  print(ans)\", \"t = int(input())\\n\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().strip().split()))\\n\\n    print(len(set(a)))\", \"t = int(input())\\nwhile(t):\\n    t -= 1\\n    n = int(input())\\n    a = set(map(int, input().split()))\\n    print(len(a))\", \"import sys\\nreader = (s.rstrip() for s in sys.stdin)\\ninput = reader.__next__\\n\\ndef solve():\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    ans = len(set(a))\\n    print(ans)\\n\\nt = int(input())\\nfor i in range(t):\\n    solve()\\n\", \"t = int(input())\\nfor _ in range(t):\\n\\tn = int(input())\\n\\ta = set(map(int, input().split()))\\n\\tprint(len(a))\", \"from bisect import bisect_left as bl, bisect_right as br, insort\\nimport sys\\nimport heapq\\nfrom math import *\\nfrom collections import defaultdict as dd, deque\\ndef data(): return sys.stdin.readline().strip()\\ndef mdata(): return map(int, data().split())\\n#sys.setrecursionlimit(100000)\\n\\nfor i in range(int(data())):\\n    n=int(data())\\n    A=set(mdata())\\n    print(len(A))\", \"from sys import stdin,stdout                           #\\nimport math                                            #\\nimport heapq                                           #\\n                                                       #\\nt = 1                                                  #\\ndef aint():                                            #\\n\\treturn int(input().strip())                        #\\ndef lint():                                            #\\n\\treturn list(map(int,input().split()))              #\\ndef fint():                                            #\\n\\treturn list(map(int,stdin.readline().split()))     #\\n                                                       #\\t\\n########################################################\\n\\ndef main():\\n\\tn=aint()\\n\\tl=lint()\\n\\tprint(len(set(l)))\\n\\t#solve\\n\\nt=int(input())\\n\\n########################################################\\nfor i in range(t):                                     #\\n\\tmain()                                             #\", \"import sys\\ninput = sys.stdin.readline\\n\\nt=int(input())\\nfor tests in range(t):\\n    n=int(input())\\n    A=list(map(int,input().split()))\\n    print(len(set(A)))\\n    \\n\"]",
        "difficulty": "interview",
        "input": "2\n2\n1 1\n1\n1\n",
        "output": "1\n1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1325/B"
    },
    {
        "id": 402,
        "task_id": 1983,
        "test_case_id": 7,
        "question": "Ehab has an array $a$ of length $n$. He has just enough free time to make a new array consisting of $n$ copies of the old array, written back-to-back. What will be the length of the new array's longest increasing subsequence?\n\nA sequence $a$ is a subsequence of an array $b$ if $a$ can be obtained from $b$ by deletion of several (possibly, zero or all) elements. The longest increasing subsequence of an array is the longest subsequence such that its elements are ordered in strictly increasing order.\n\n\n-----Input-----\n\nThe first line contains an integer $t$ — the number of test cases you need to solve. The description of the test cases follows.\n\nThe first line of each test case contains an integer $n$ ($1 \\le n \\le 10^5$) — the number of elements in the array $a$.\n\nThe second line contains $n$ space-separated integers $a_1$, $a_2$, $\\ldots$, $a_{n}$ ($1 \\le a_i \\le 10^9$) — the elements of the array $a$.\n\nThe sum of $n$ across the test cases doesn't exceed $10^5$.\n\n\n-----Output-----\n\nFor each testcase, output the length of the longest increasing subsequence of $a$ if you concatenate it to itself $n$ times.\n\n\n-----Example-----\nInput\n2\n3\n3 2 1\n6\n3 1 4 1 5 9\n\nOutput\n3\n5\n\n\n\n-----Note-----\n\nIn the first sample, the new array is $[3,2,\\textbf{1},3,\\textbf{2},1,\\textbf{3},2,1]$. The longest increasing subsequence is marked in bold.\n\nIn the second sample, the longest increasing subsequence will be $[1,3,4,5,9]$.",
        "solutions": "[\"#list(map(int,input().split()))\\nt=int(input())\\nfor _ in range(t):\\n    n=int(input())\\n    it=list(map(int,input().split()))\\n    print(len(set(it)))\\n\", \"for _ in range(int(input())):\\n\\tn = int(input())\\n\\ta = [int(i) for i in input().split()]\\n\\tprint(len(set(a)))\", \"import sys\\ninput = sys.stdin.readline\\n\\nt = int(input())\\nfor _ in range(t):\\n    input()\\n    print(len(set(map(int, input().split()))))\\n\", \"a = int(input())\\nfor i in range(a):\\n    o = int(input())\\n    u = list(map(int, input().split()))\\n    print(len(set(u)))\", \"t = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    set_ = set(a)\\n    print(len(set_))\", \"\\n\\nfor _ in range(int(input())):\\n\\tn=int(input())\\n\\ta=list(map(int,input().split()))\\n\\tprint(len(set(a)))\", \"for nt in range(int(input())):\\n\\tn=int(input())\\n\\tl=list(map(int,input().split()))\\n\\tl=set(l)\\n\\tl=list(l)\\n\\tprint (len(l))\", \"#!/usr/bin/env python\\n#-*- coding:utf-8 -*-\\n\\n# Code by H~$~C\\n\\nfrom sys import stdin\\ninput = stdin.readline\\nimport math\\n\\nfor i in range(int(input())):\\n  n = int(input())\\n  arr = sorted(list(map(int, input().split())))\\n  ans = n\\n  for j in range(n - 1):\\n    if (arr[j + 1] == arr[j]):\\n      ans -= 1\\n  print(ans)\", \"t = int(input())\\n\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().strip().split()))\\n\\n    print(len(set(a)))\", \"t = int(input())\\nwhile(t):\\n    t -= 1\\n    n = int(input())\\n    a = set(map(int, input().split()))\\n    print(len(a))\", \"import sys\\nreader = (s.rstrip() for s in sys.stdin)\\ninput = reader.__next__\\n\\ndef solve():\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    ans = len(set(a))\\n    print(ans)\\n\\nt = int(input())\\nfor i in range(t):\\n    solve()\\n\", \"t = int(input())\\nfor _ in range(t):\\n\\tn = int(input())\\n\\ta = set(map(int, input().split()))\\n\\tprint(len(a))\", \"from bisect import bisect_left as bl, bisect_right as br, insort\\nimport sys\\nimport heapq\\nfrom math import *\\nfrom collections import defaultdict as dd, deque\\ndef data(): return sys.stdin.readline().strip()\\ndef mdata(): return map(int, data().split())\\n#sys.setrecursionlimit(100000)\\n\\nfor i in range(int(data())):\\n    n=int(data())\\n    A=set(mdata())\\n    print(len(A))\", \"from sys import stdin,stdout                           #\\nimport math                                            #\\nimport heapq                                           #\\n                                                       #\\nt = 1                                                  #\\ndef aint():                                            #\\n\\treturn int(input().strip())                        #\\ndef lint():                                            #\\n\\treturn list(map(int,input().split()))              #\\ndef fint():                                            #\\n\\treturn list(map(int,stdin.readline().split()))     #\\n                                                       #\\t\\n########################################################\\n\\ndef main():\\n\\tn=aint()\\n\\tl=lint()\\n\\tprint(len(set(l)))\\n\\t#solve\\n\\nt=int(input())\\n\\n########################################################\\nfor i in range(t):                                     #\\n\\tmain()                                             #\", \"import sys\\ninput = sys.stdin.readline\\n\\nt=int(input())\\nfor tests in range(t):\\n    n=int(input())\\n    A=list(map(int,input().split()))\\n    print(len(set(A)))\\n    \\n\"]",
        "difficulty": "interview",
        "input": "2\n4\n1 3 3 3\n3\n1 2 3\n",
        "output": "2\n3\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1325/B"
    },
    {
        "id": 403,
        "task_id": 1983,
        "test_case_id": 8,
        "question": "Ehab has an array $a$ of length $n$. He has just enough free time to make a new array consisting of $n$ copies of the old array, written back-to-back. What will be the length of the new array's longest increasing subsequence?\n\nA sequence $a$ is a subsequence of an array $b$ if $a$ can be obtained from $b$ by deletion of several (possibly, zero or all) elements. The longest increasing subsequence of an array is the longest subsequence such that its elements are ordered in strictly increasing order.\n\n\n-----Input-----\n\nThe first line contains an integer $t$ — the number of test cases you need to solve. The description of the test cases follows.\n\nThe first line of each test case contains an integer $n$ ($1 \\le n \\le 10^5$) — the number of elements in the array $a$.\n\nThe second line contains $n$ space-separated integers $a_1$, $a_2$, $\\ldots$, $a_{n}$ ($1 \\le a_i \\le 10^9$) — the elements of the array $a$.\n\nThe sum of $n$ across the test cases doesn't exceed $10^5$.\n\n\n-----Output-----\n\nFor each testcase, output the length of the longest increasing subsequence of $a$ if you concatenate it to itself $n$ times.\n\n\n-----Example-----\nInput\n2\n3\n3 2 1\n6\n3 1 4 1 5 9\n\nOutput\n3\n5\n\n\n\n-----Note-----\n\nIn the first sample, the new array is $[3,2,\\textbf{1},3,\\textbf{2},1,\\textbf{3},2,1]$. The longest increasing subsequence is marked in bold.\n\nIn the second sample, the longest increasing subsequence will be $[1,3,4,5,9]$.",
        "solutions": "[\"#list(map(int,input().split()))\\nt=int(input())\\nfor _ in range(t):\\n    n=int(input())\\n    it=list(map(int,input().split()))\\n    print(len(set(it)))\\n\", \"for _ in range(int(input())):\\n\\tn = int(input())\\n\\ta = [int(i) for i in input().split()]\\n\\tprint(len(set(a)))\", \"import sys\\ninput = sys.stdin.readline\\n\\nt = int(input())\\nfor _ in range(t):\\n    input()\\n    print(len(set(map(int, input().split()))))\\n\", \"a = int(input())\\nfor i in range(a):\\n    o = int(input())\\n    u = list(map(int, input().split()))\\n    print(len(set(u)))\", \"t = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    set_ = set(a)\\n    print(len(set_))\", \"\\n\\nfor _ in range(int(input())):\\n\\tn=int(input())\\n\\ta=list(map(int,input().split()))\\n\\tprint(len(set(a)))\", \"for nt in range(int(input())):\\n\\tn=int(input())\\n\\tl=list(map(int,input().split()))\\n\\tl=set(l)\\n\\tl=list(l)\\n\\tprint (len(l))\", \"#!/usr/bin/env python\\n#-*- coding:utf-8 -*-\\n\\n# Code by H~$~C\\n\\nfrom sys import stdin\\ninput = stdin.readline\\nimport math\\n\\nfor i in range(int(input())):\\n  n = int(input())\\n  arr = sorted(list(map(int, input().split())))\\n  ans = n\\n  for j in range(n - 1):\\n    if (arr[j + 1] == arr[j]):\\n      ans -= 1\\n  print(ans)\", \"t = int(input())\\n\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().strip().split()))\\n\\n    print(len(set(a)))\", \"t = int(input())\\nwhile(t):\\n    t -= 1\\n    n = int(input())\\n    a = set(map(int, input().split()))\\n    print(len(a))\", \"import sys\\nreader = (s.rstrip() for s in sys.stdin)\\ninput = reader.__next__\\n\\ndef solve():\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    ans = len(set(a))\\n    print(ans)\\n\\nt = int(input())\\nfor i in range(t):\\n    solve()\\n\", \"t = int(input())\\nfor _ in range(t):\\n\\tn = int(input())\\n\\ta = set(map(int, input().split()))\\n\\tprint(len(a))\", \"from bisect import bisect_left as bl, bisect_right as br, insort\\nimport sys\\nimport heapq\\nfrom math import *\\nfrom collections import defaultdict as dd, deque\\ndef data(): return sys.stdin.readline().strip()\\ndef mdata(): return map(int, data().split())\\n#sys.setrecursionlimit(100000)\\n\\nfor i in range(int(data())):\\n    n=int(data())\\n    A=set(mdata())\\n    print(len(A))\", \"from sys import stdin,stdout                           #\\nimport math                                            #\\nimport heapq                                           #\\n                                                       #\\nt = 1                                                  #\\ndef aint():                                            #\\n\\treturn int(input().strip())                        #\\ndef lint():                                            #\\n\\treturn list(map(int,input().split()))              #\\ndef fint():                                            #\\n\\treturn list(map(int,stdin.readline().split()))     #\\n                                                       #\\t\\n########################################################\\n\\ndef main():\\n\\tn=aint()\\n\\tl=lint()\\n\\tprint(len(set(l)))\\n\\t#solve\\n\\nt=int(input())\\n\\n########################################################\\nfor i in range(t):                                     #\\n\\tmain()                                             #\", \"import sys\\ninput = sys.stdin.readline\\n\\nt=int(input())\\nfor tests in range(t):\\n    n=int(input())\\n    A=list(map(int,input().split()))\\n    print(len(set(A)))\\n    \\n\"]",
        "difficulty": "interview",
        "input": "2\n3\n1 1 1\n2\n1 1\n",
        "output": "1\n1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1325/B"
    },
    {
        "id": 404,
        "task_id": 1983,
        "test_case_id": 9,
        "question": "Ehab has an array $a$ of length $n$. He has just enough free time to make a new array consisting of $n$ copies of the old array, written back-to-back. What will be the length of the new array's longest increasing subsequence?\n\nA sequence $a$ is a subsequence of an array $b$ if $a$ can be obtained from $b$ by deletion of several (possibly, zero or all) elements. The longest increasing subsequence of an array is the longest subsequence such that its elements are ordered in strictly increasing order.\n\n\n-----Input-----\n\nThe first line contains an integer $t$ — the number of test cases you need to solve. The description of the test cases follows.\n\nThe first line of each test case contains an integer $n$ ($1 \\le n \\le 10^5$) — the number of elements in the array $a$.\n\nThe second line contains $n$ space-separated integers $a_1$, $a_2$, $\\ldots$, $a_{n}$ ($1 \\le a_i \\le 10^9$) — the elements of the array $a$.\n\nThe sum of $n$ across the test cases doesn't exceed $10^5$.\n\n\n-----Output-----\n\nFor each testcase, output the length of the longest increasing subsequence of $a$ if you concatenate it to itself $n$ times.\n\n\n-----Example-----\nInput\n2\n3\n3 2 1\n6\n3 1 4 1 5 9\n\nOutput\n3\n5\n\n\n\n-----Note-----\n\nIn the first sample, the new array is $[3,2,\\textbf{1},3,\\textbf{2},1,\\textbf{3},2,1]$. The longest increasing subsequence is marked in bold.\n\nIn the second sample, the longest increasing subsequence will be $[1,3,4,5,9]$.",
        "solutions": "[\"#list(map(int,input().split()))\\nt=int(input())\\nfor _ in range(t):\\n    n=int(input())\\n    it=list(map(int,input().split()))\\n    print(len(set(it)))\\n\", \"for _ in range(int(input())):\\n\\tn = int(input())\\n\\ta = [int(i) for i in input().split()]\\n\\tprint(len(set(a)))\", \"import sys\\ninput = sys.stdin.readline\\n\\nt = int(input())\\nfor _ in range(t):\\n    input()\\n    print(len(set(map(int, input().split()))))\\n\", \"a = int(input())\\nfor i in range(a):\\n    o = int(input())\\n    u = list(map(int, input().split()))\\n    print(len(set(u)))\", \"t = int(input())\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    set_ = set(a)\\n    print(len(set_))\", \"\\n\\nfor _ in range(int(input())):\\n\\tn=int(input())\\n\\ta=list(map(int,input().split()))\\n\\tprint(len(set(a)))\", \"for nt in range(int(input())):\\n\\tn=int(input())\\n\\tl=list(map(int,input().split()))\\n\\tl=set(l)\\n\\tl=list(l)\\n\\tprint (len(l))\", \"#!/usr/bin/env python\\n#-*- coding:utf-8 -*-\\n\\n# Code by H~$~C\\n\\nfrom sys import stdin\\ninput = stdin.readline\\nimport math\\n\\nfor i in range(int(input())):\\n  n = int(input())\\n  arr = sorted(list(map(int, input().split())))\\n  ans = n\\n  for j in range(n - 1):\\n    if (arr[j + 1] == arr[j]):\\n      ans -= 1\\n  print(ans)\", \"t = int(input())\\n\\nfor _ in range(t):\\n    n = int(input())\\n    a = list(map(int, input().strip().split()))\\n\\n    print(len(set(a)))\", \"t = int(input())\\nwhile(t):\\n    t -= 1\\n    n = int(input())\\n    a = set(map(int, input().split()))\\n    print(len(a))\", \"import sys\\nreader = (s.rstrip() for s in sys.stdin)\\ninput = reader.__next__\\n\\ndef solve():\\n    n = int(input())\\n    a = list(map(int, input().split()))\\n    ans = len(set(a))\\n    print(ans)\\n\\nt = int(input())\\nfor i in range(t):\\n    solve()\\n\", \"t = int(input())\\nfor _ in range(t):\\n\\tn = int(input())\\n\\ta = set(map(int, input().split()))\\n\\tprint(len(a))\", \"from bisect import bisect_left as bl, bisect_right as br, insort\\nimport sys\\nimport heapq\\nfrom math import *\\nfrom collections import defaultdict as dd, deque\\ndef data(): return sys.stdin.readline().strip()\\ndef mdata(): return map(int, data().split())\\n#sys.setrecursionlimit(100000)\\n\\nfor i in range(int(data())):\\n    n=int(data())\\n    A=set(mdata())\\n    print(len(A))\", \"from sys import stdin,stdout                           #\\nimport math                                            #\\nimport heapq                                           #\\n                                                       #\\nt = 1                                                  #\\ndef aint():                                            #\\n\\treturn int(input().strip())                        #\\ndef lint():                                            #\\n\\treturn list(map(int,input().split()))              #\\ndef fint():                                            #\\n\\treturn list(map(int,stdin.readline().split()))     #\\n                                                       #\\t\\n########################################################\\n\\ndef main():\\n\\tn=aint()\\n\\tl=lint()\\n\\tprint(len(set(l)))\\n\\t#solve\\n\\nt=int(input())\\n\\n########################################################\\nfor i in range(t):                                     #\\n\\tmain()                                             #\", \"import sys\\ninput = sys.stdin.readline\\n\\nt=int(input())\\nfor tests in range(t):\\n    n=int(input())\\n    A=list(map(int,input().split()))\\n    print(len(set(A)))\\n    \\n\"]",
        "difficulty": "interview",
        "input": "1\n5\n1 3 4 5 2\n",
        "output": "5\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/1325/B"
    },
    {
        "id": 405,
        "task_id": 2681,
        "test_case_id": 1,
        "question": "Write a program to obtain 2 numbers $($ $A$ $and$ $B$ $)$ and an arithmetic operator $(C)$ and then design a $calculator$ depending upon the operator entered by the user.\nSo for example if C=\"+\", you have to sum the two numbers.\nIf C=\"-\", you have to subtract the two numbers.\nIf C=\" * \", you have to print the product.\nIf C=\" / \", you have to divide the two numbers.\n\n-----Input:-----\n- First line will contain the first number $A$.\n- Second line will contain the second number $B$.\n- Third line will contain the operator $C$, that is to be performed on A and B.\n\n-----Output:-----\nOutput a single line containing the answer, obtained by, performing the operator on the numbers. Your output will be considered to be correct if the difference between your output and the actual answer is not more than $10^{-6}$.\n\n-----Constraints-----\n- $-1000 \\leq A \\leq 1000$\n- $-1000 \\leq B \\leq 1000$ $and$ $B \\neq 0$\n- $C$ $can$ $only$ $be$ $one$ $of$ $these$ $4$ $operators$ {\" + \", \" - \", \" * \", \" / \"}\n\n-----Sample Input:-----\n8\n2\n/\n\n-----Sample Output:-----\n4.0\n\n-----Sample Input:-----\n5\n3\n+\n\n-----Sample Output:-----\n8",
        "solutions": "[\"one = int(input())\\ntwo = int(input())\\nelement = input()\\nif element == '/':\\n print(one / two)\\nelif element == '*':\\n print(one * two)\\nelif element == '-':\\n print(one - two)\\nelif element == '+':\\n print(one + two)\", \"a=int(input())\\nb=int(input())\\nch=input()\\nif(ch==\\\"/\\\"):\\n print(a/b)\\nelif(ch==\\\"*\\\"):\\n print(a*b)\\nelif(ch==\\\"-\\\"):\\n print(a-b)\\nelse:\\n print(a+b)\\n\", \"a=int(input())\\nb=int(input())\\nch=input()\\nif(ch==\\\"/\\\"):\\n print(a/b)\\nelif(ch==\\\"*\\\"):\\n print(a*b)\\nelif(ch==\\\"-\\\"):\\n print(a-b)\\nelse:\\n print(a+b)\\n\", \"a=int(input())\\nb=int(input())\\nc=input()\\nif c=='+':\\n print(a+b)\\nelif c=='*':\\n print(a*b)\\nelif c=='-':\\n print(a-b)\\nelse:\\n print(a/b)\", \"# cook your dish here\\nx=int(input())\\ny=int(input())\\no=input()\\nif o=='+':\\n print(x+y)\\nelif o=='-':\\n print(x-y)\\nelif o=='/':\\n print(x/y)\\nelif o=='*':\\n print(x*y)\", \"A=int(input())\\nB=int(input())\\nc=input()\\nif c=='+':\\n print(A+B)\\nelif c=='-':\\n print(A-B)\\nelif c=='*':\\n print(A*B)\\nelif c=='/':\\n print(A/B)\\n\\n\", \"# cook your dish here\\na=int(input())\\nb=int(input())\\nc=input()\\nif(c=='+'):\\n print(a+b)\\nelif(c=='-'):\\n print(a-b)\\nelif(c=='*'):\\n print(a*b)\\nelse:\\n print(a/b)\", \"# cook your dish here\\nn=int(input())\\nk=int(input())\\ns=input()\\nif s=='+':\\n print(n+k)\\nelif s=='-':\\n print(n-k)\\nelif s=='*':\\n print(n*k)\\nelif s=='/':\\n print(n/k)\", \"a=int(input())\\nb=int(input())\\nc=input()\\nif c=='+':\\n print(a+b)\\nelif c=='-':\\n print(a-b)\\nelif c=='*':\\n print(a*b)\\nelif c=='/':\\n print(a/b)\\n\", \"# cook your dish here\\ndef cal (a,b,s):\\n if s=='+':\\n  print(a+b)\\n elif s=='-':\\n  print(a-b)\\n elif s=='*':\\n  print(a*b)\\n else:\\n  print(a/b)\\na=int(input())\\nb=int(input())\\nc=input()\\ncal(a,b,c)\\n\", \"a=int(input())\\nb=int(input())\\nc=input()\\nif c==\\\"+\\\":\\n print(a+b)\\nelif c==\\\"-\\\":\\n print(a-b)\\nelif c==\\\"*\\\":\\n print(a*b)\\nelif c==\\\"/\\\":\\n print(a/b)\\n\", \"A=int(input())\\nB=int(input())\\nC=input()\\nif C==\\\"+\\\":\\n print(A+B)\\nelif C==\\\"-\\\":\\n print(A-B)\\nelif C==\\\"*\\\":\\n print(A*B)\\nelif C==\\\"/\\\":\\n print(A/B)\\n \\n\", \"# cook your dish here\\nx = int(input())\\ny = int(input())\\nz = str(input())\\nif z=='+':\\n print(x+y)\\nelif z=='-':\\n print(x-y)\\nelif z=='*':\\n print(x*y)\\nelif z=='/':\\n print(x/y)\", \"a = int(input())\\nb = int(input())\\nc = input()\\nif(c == '+'):\\n print(a+b)\\nelif c == '-':\\n print(a - b)\\nelif c == '*':\\n print(a * b)\\nelse:\\n print(a/b)\", \"a=int(input())\\nb=int(input())\\nc=input()\\nif c=='+':\\n print(a+b)\\nelif c=='-':\\n print(a-b)\\nelif c=='*':\\n print(a*b)\\nelif c=='/':\\n print(a/b) \\n\", \"# cook your dish here\\na=int(input())\\nb=int(input())\\nc=input()\\nif c==\\\"+\\\":\\n print(a+b)\\nelif c==\\\"-\\\":\\n print(a-b)\\nelif c==\\\"*\\\":\\n print(a*b)\\nelif c==\\\"/\\\":\\n print(a/b)\\n\", \"a=int(input())\\nb=int(input())\\nc=input()\\nif(c=='+'):\\n print(a+b)\\nelif(c=='-'):\\n print(a-b)\\nelif(c=='/'):\\n print(a/b)\\nelif(c=='*'):\\n print(a*b)\", \"a=int(input())\\nb=int(input())\\nc=input()\\nif c=='+':\\n print(a+b)\\nelif c=='-':\\n print(a-b)\\nelif c=='*':\\n print(a*b)\\nelif c=='/':\\n print(a/b) \", \"a=int(input())\\nb=int(input())\\nc=str(input())\\nif(c==\\\"+\\\"):\\n print(a+b)\\nelif(c==\\\"-\\\"):\\n print(a-b)\\nelif(c==\\\"*\\\"):\\n print(a*b)\\nelse:\\n print(a/b)\", \"# cook your dish here\\na=int(input())\\nb=int(input())\\nc=input()\\n\\nif c=='+':\\n print(a+b)\\nelif c=='-':\\n print(a-b)\\nelif c=='*':\\n print(a*b)\\nelif c=='/':\\n print(a/b)\\n \\n\", \"# cook your dish here\\na = int(input())\\nb = int(input())\\np = input()\\nif p == '+':\\n print(a+b)\\nif p == '-':\\n print(a-b)\\nif p == '*':\\n print(a*b)\\nif p == '/':\\n print(a/b)\", \"n1=int(input())\\nn2=int(input())\\nc=input()\\nif(c==\\\"+\\\"):\\n print(n1+n2)\\nelif(c==\\\"-\\\"):\\n print(n1-n2)\\nelif(c==\\\"*\\\"):\\n print(n1*n2)\\nelse:\\n print(n1/n2)\\n\", \"# cook your dish here\\na=int(input())\\nb=int(input())\\nc=input()\\nif c==\\\"+\\\":\\n print(a+b)\\nelif c==\\\"-\\\":\\n print(a-b)\\nelif c==\\\"*\\\":\\n print(a*b)\\nelse:\\n d=a/b\\n print(\\\"%.6f\\\"%d)\", \"# cook your dish here\\na=int(input())\\nb=int(input())\\nop=input()\\n\\nif op=='+':\\n res=a+b\\n print(float(res))\\nif op=='-':\\n res=a-b\\n print(float(res))\\nif op=='*':\\n res=a*b \\n print(float(res))\\nif op=='/':\\n res=a/b \\n print(float(res))\\n\"]",
        "difficulty": "interview",
        "input": [
            "8",
            "2",
            "/"
        ],
        "output": [
            "4.0"
        ],
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://www.codechef.com/problems/URCALC"
    },
    {
        "id": 406,
        "task_id": 2681,
        "test_case_id": 2,
        "question": "Write a program to obtain 2 numbers $($ $A$ $and$ $B$ $)$ and an arithmetic operator $(C)$ and then design a $calculator$ depending upon the operator entered by the user.\nSo for example if C=\"+\", you have to sum the two numbers.\nIf C=\"-\", you have to subtract the two numbers.\nIf C=\" * \", you have to print the product.\nIf C=\" / \", you have to divide the two numbers.\n\n-----Input:-----\n- First line will contain the first number $A$.\n- Second line will contain the second number $B$.\n- Third line will contain the operator $C$, that is to be performed on A and B.\n\n-----Output:-----\nOutput a single line containing the answer, obtained by, performing the operator on the numbers. Your output will be considered to be correct if the difference between your output and the actual answer is not more than $10^{-6}$.\n\n-----Constraints-----\n- $-1000 \\leq A \\leq 1000$\n- $-1000 \\leq B \\leq 1000$ $and$ $B \\neq 0$\n- $C$ $can$ $only$ $be$ $one$ $of$ $these$ $4$ $operators$ {\" + \", \" - \", \" * \", \" / \"}\n\n-----Sample Input:-----\n8\n2\n/\n\n-----Sample Output:-----\n4.0\n\n-----Sample Input:-----\n5\n3\n+\n\n-----Sample Output:-----\n8",
        "solutions": "[\"one = int(input())\\ntwo = int(input())\\nelement = input()\\nif element == '/':\\n print(one / two)\\nelif element == '*':\\n print(one * two)\\nelif element == '-':\\n print(one - two)\\nelif element == '+':\\n print(one + two)\", \"a=int(input())\\nb=int(input())\\nch=input()\\nif(ch==\\\"/\\\"):\\n print(a/b)\\nelif(ch==\\\"*\\\"):\\n print(a*b)\\nelif(ch==\\\"-\\\"):\\n print(a-b)\\nelse:\\n print(a+b)\\n\", \"a=int(input())\\nb=int(input())\\nch=input()\\nif(ch==\\\"/\\\"):\\n print(a/b)\\nelif(ch==\\\"*\\\"):\\n print(a*b)\\nelif(ch==\\\"-\\\"):\\n print(a-b)\\nelse:\\n print(a+b)\\n\", \"a=int(input())\\nb=int(input())\\nc=input()\\nif c=='+':\\n print(a+b)\\nelif c=='*':\\n print(a*b)\\nelif c=='-':\\n print(a-b)\\nelse:\\n print(a/b)\", \"# cook your dish here\\nx=int(input())\\ny=int(input())\\no=input()\\nif o=='+':\\n print(x+y)\\nelif o=='-':\\n print(x-y)\\nelif o=='/':\\n print(x/y)\\nelif o=='*':\\n print(x*y)\", \"A=int(input())\\nB=int(input())\\nc=input()\\nif c=='+':\\n print(A+B)\\nelif c=='-':\\n print(A-B)\\nelif c=='*':\\n print(A*B)\\nelif c=='/':\\n print(A/B)\\n\\n\", \"# cook your dish here\\na=int(input())\\nb=int(input())\\nc=input()\\nif(c=='+'):\\n print(a+b)\\nelif(c=='-'):\\n print(a-b)\\nelif(c=='*'):\\n print(a*b)\\nelse:\\n print(a/b)\", \"# cook your dish here\\nn=int(input())\\nk=int(input())\\ns=input()\\nif s=='+':\\n print(n+k)\\nelif s=='-':\\n print(n-k)\\nelif s=='*':\\n print(n*k)\\nelif s=='/':\\n print(n/k)\", \"a=int(input())\\nb=int(input())\\nc=input()\\nif c=='+':\\n print(a+b)\\nelif c=='-':\\n print(a-b)\\nelif c=='*':\\n print(a*b)\\nelif c=='/':\\n print(a/b)\\n\", \"# cook your dish here\\ndef cal (a,b,s):\\n if s=='+':\\n  print(a+b)\\n elif s=='-':\\n  print(a-b)\\n elif s=='*':\\n  print(a*b)\\n else:\\n  print(a/b)\\na=int(input())\\nb=int(input())\\nc=input()\\ncal(a,b,c)\\n\", \"a=int(input())\\nb=int(input())\\nc=input()\\nif c==\\\"+\\\":\\n print(a+b)\\nelif c==\\\"-\\\":\\n print(a-b)\\nelif c==\\\"*\\\":\\n print(a*b)\\nelif c==\\\"/\\\":\\n print(a/b)\\n\", \"A=int(input())\\nB=int(input())\\nC=input()\\nif C==\\\"+\\\":\\n print(A+B)\\nelif C==\\\"-\\\":\\n print(A-B)\\nelif C==\\\"*\\\":\\n print(A*B)\\nelif C==\\\"/\\\":\\n print(A/B)\\n \\n\", \"# cook your dish here\\nx = int(input())\\ny = int(input())\\nz = str(input())\\nif z=='+':\\n print(x+y)\\nelif z=='-':\\n print(x-y)\\nelif z=='*':\\n print(x*y)\\nelif z=='/':\\n print(x/y)\", \"a = int(input())\\nb = int(input())\\nc = input()\\nif(c == '+'):\\n print(a+b)\\nelif c == '-':\\n print(a - b)\\nelif c == '*':\\n print(a * b)\\nelse:\\n print(a/b)\", \"a=int(input())\\nb=int(input())\\nc=input()\\nif c=='+':\\n print(a+b)\\nelif c=='-':\\n print(a-b)\\nelif c=='*':\\n print(a*b)\\nelif c=='/':\\n print(a/b) \\n\", \"# cook your dish here\\na=int(input())\\nb=int(input())\\nc=input()\\nif c==\\\"+\\\":\\n print(a+b)\\nelif c==\\\"-\\\":\\n print(a-b)\\nelif c==\\\"*\\\":\\n print(a*b)\\nelif c==\\\"/\\\":\\n print(a/b)\\n\", \"a=int(input())\\nb=int(input())\\nc=input()\\nif(c=='+'):\\n print(a+b)\\nelif(c=='-'):\\n print(a-b)\\nelif(c=='/'):\\n print(a/b)\\nelif(c=='*'):\\n print(a*b)\", \"a=int(input())\\nb=int(input())\\nc=input()\\nif c=='+':\\n print(a+b)\\nelif c=='-':\\n print(a-b)\\nelif c=='*':\\n print(a*b)\\nelif c=='/':\\n print(a/b) \", \"a=int(input())\\nb=int(input())\\nc=str(input())\\nif(c==\\\"+\\\"):\\n print(a+b)\\nelif(c==\\\"-\\\"):\\n print(a-b)\\nelif(c==\\\"*\\\"):\\n print(a*b)\\nelse:\\n print(a/b)\", \"# cook your dish here\\na=int(input())\\nb=int(input())\\nc=input()\\n\\nif c=='+':\\n print(a+b)\\nelif c=='-':\\n print(a-b)\\nelif c=='*':\\n print(a*b)\\nelif c=='/':\\n print(a/b)\\n \\n\", \"# cook your dish here\\na = int(input())\\nb = int(input())\\np = input()\\nif p == '+':\\n print(a+b)\\nif p == '-':\\n print(a-b)\\nif p == '*':\\n print(a*b)\\nif p == '/':\\n print(a/b)\", \"n1=int(input())\\nn2=int(input())\\nc=input()\\nif(c==\\\"+\\\"):\\n print(n1+n2)\\nelif(c==\\\"-\\\"):\\n print(n1-n2)\\nelif(c==\\\"*\\\"):\\n print(n1*n2)\\nelse:\\n print(n1/n2)\\n\", \"# cook your dish here\\na=int(input())\\nb=int(input())\\nc=input()\\nif c==\\\"+\\\":\\n print(a+b)\\nelif c==\\\"-\\\":\\n print(a-b)\\nelif c==\\\"*\\\":\\n print(a*b)\\nelse:\\n d=a/b\\n print(\\\"%.6f\\\"%d)\", \"# cook your dish here\\na=int(input())\\nb=int(input())\\nop=input()\\n\\nif op=='+':\\n res=a+b\\n print(float(res))\\nif op=='-':\\n res=a-b\\n print(float(res))\\nif op=='*':\\n res=a*b \\n print(float(res))\\nif op=='/':\\n res=a/b \\n print(float(res))\\n\"]",
        "difficulty": "interview",
        "input": [
            "5",
            "3",
            "+"
        ],
        "output": [
            "8"
        ],
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://www.codechef.com/problems/URCALC"
    },
    {
        "id": 407,
        "task_id": 2803,
        "test_case_id": 1,
        "question": "You are playing a game in which a group of players take turns saying animal names. The animal name you say when it is your turn must start with the same letter as the previously said animal ends with and it must not have been said previously in this round of the game. If there is no valid name or you cannot come up with one you are eliminated. \n\nGiven the last animal name said before your turn and a list of all names not yet used, can you make it through this turn? If so, can you make sure to eliminate the next player?\n\n-----Input-----\nThe first line of input contains a single word, the animal that the previous player just said. The next line contains a single integer $n$ ($0 \\le n \\leq 10^5$), the number of valid unused animal names. Each of the following $n$ lines contains one valid unused animal name.\n\nAll animal names (including the one the previous player said) are unique and consist of at least $1$ and at most $20$ lower case letters ‘a’-‘z’.\n\n-----Output-----\nIf there is any animal name you can play that eliminates the next player, output the first such name from the input list, followed by an exclamation mark. Otherwise, if there is any animal name that you can play, output the first such name. Otherwise, output a question mark (in this case you will just have to make up a fake name in the hope that the others will trust you that this is a real animal).\n\n-----Examples-----\nSample Input 1:\npig\n2\ngoat\ntoad\nSample Output 1:\ngoat\n\nSample Input 2:\ndog\n2\nsnake\nemu\nSample Output 2:\n?",
        "solutions": "",
        "difficulty": "interview",
        "input": "pig\n2\ngoat\ntoad\n",
        "output": "goat\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/alphabetanimals"
    },
    {
        "id": 408,
        "task_id": 2803,
        "test_case_id": 2,
        "question": "You are playing a game in which a group of players take turns saying animal names. The animal name you say when it is your turn must start with the same letter as the previously said animal ends with and it must not have been said previously in this round of the game. If there is no valid name or you cannot come up with one you are eliminated. \n\nGiven the last animal name said before your turn and a list of all names not yet used, can you make it through this turn? If so, can you make sure to eliminate the next player?\n\n-----Input-----\nThe first line of input contains a single word, the animal that the previous player just said. The next line contains a single integer $n$ ($0 \\le n \\leq 10^5$), the number of valid unused animal names. Each of the following $n$ lines contains one valid unused animal name.\n\nAll animal names (including the one the previous player said) are unique and consist of at least $1$ and at most $20$ lower case letters ‘a’-‘z’.\n\n-----Output-----\nIf there is any animal name you can play that eliminates the next player, output the first such name from the input list, followed by an exclamation mark. Otherwise, if there is any animal name that you can play, output the first such name. Otherwise, output a question mark (in this case you will just have to make up a fake name in the hope that the others will trust you that this is a real animal).\n\n-----Examples-----\nSample Input 1:\npig\n2\ngoat\ntoad\nSample Output 1:\ngoat\n\nSample Input 2:\ndog\n2\nsnake\nemu\nSample Output 2:\n?",
        "solutions": "",
        "difficulty": "interview",
        "input": "dog\n2\nsnake\nemu\n",
        "output": "?\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/alphabetanimals"
    },
    {
        "id": 409,
        "task_id": 2803,
        "test_case_id": 3,
        "question": "You are playing a game in which a group of players take turns saying animal names. The animal name you say when it is your turn must start with the same letter as the previously said animal ends with and it must not have been said previously in this round of the game. If there is no valid name or you cannot come up with one you are eliminated. \n\nGiven the last animal name said before your turn and a list of all names not yet used, can you make it through this turn? If so, can you make sure to eliminate the next player?\n\n-----Input-----\nThe first line of input contains a single word, the animal that the previous player just said. The next line contains a single integer $n$ ($0 \\le n \\leq 10^5$), the number of valid unused animal names. Each of the following $n$ lines contains one valid unused animal name.\n\nAll animal names (including the one the previous player said) are unique and consist of at least $1$ and at most $20$ lower case letters ‘a’-‘z’.\n\n-----Output-----\nIf there is any animal name you can play that eliminates the next player, output the first such name from the input list, followed by an exclamation mark. Otherwise, if there is any animal name that you can play, output the first such name. Otherwise, output a question mark (in this case you will just have to make up a fake name in the hope that the others will trust you that this is a real animal).\n\n-----Examples-----\nSample Input 1:\npig\n2\ngoat\ntoad\nSample Output 1:\ngoat\n\nSample Input 2:\ndog\n2\nsnake\nemu\nSample Output 2:\n?",
        "solutions": "",
        "difficulty": "interview",
        "input": "hare\n3\nbee\ncat\neagle\n",
        "output": "eagle!\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/alphabetanimals"
    },
    {
        "id": 410,
        "task_id": 2897,
        "test_case_id": 1,
        "question": "The world is made up of $10$ kinds of people, those who understand binary and those who do not. These different kinds of people do not always get along so well. Bob might ask for a $10000$ ounce coffee (meaning binary) and Alice might make misinterpret his request as being in decimal and give him a $10011100010000$ ounce coffee (binary). After Sue explains that this much coffee costs $100$ dollars (decimal), Bob might assume he only has to pay $4$ dollars (interpreting the price as being in binary). In response to these differences that are difficult to resolve, these two groups have divided the world into two regions, the binary-friendly zones and the decimal-friendly zones. They have even published a map like the following to help people keep up with where the areas are (they have used ones and zeros so nobody would have trouble reading it).1111100000\n\n1111000000\n\n1110000011\n\n0111100111\n\n0011111111\n\nUsers of binary have to stay in the zones marked with a zero. Users of decimal have to stay in the zones marked with a one. You have to figure out if it is possible for either type of person to get between various locations of interest. People can move north, south, east or west, but cannot move diagonally.\n\n-----Input-----\nInput starts with a line containing two positive integers, $1 \\le r \\le 1000$ and $1 \\le c \\le 1000$. The next $r$ input lines give the contents of the map, each line containing exactly $c$ characters (which are all chosen from $0$ or $1$).\n\nThe next line has an integer $0 \\le n \\le 1000$. The following $n$ lines each contain one query, given as four integers: $r_1,c_1$ and $r_2,c_2$. These two pairs indicate two locations on the map, and their limits are $1 \\le r_1, r_2 \\le r$ and $1 \\le c_1, c_2 \\le c$.\n\n-----Output-----\nFor each query, output binary if a binary user can start from location $r_1, c_1$ and move to location $r_2, c_2$. Output decimal if a decimal user can move between the two locations. Otherwise, output neither.\n\n-----Examples-----\nSample Input:\n1 4\n1100\n2\n1 1 1 4\n1 1 1 1\nSample Output:\nneither\ndecimal",
        "solutions": "",
        "difficulty": "interview",
        "input": "1 4\n1100\n2\n1 1 1 4\n1 1 1 1\n",
        "output": "neither\ndecimal\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/10kindsofpeople"
    },
    {
        "id": 411,
        "task_id": 2897,
        "test_case_id": 2,
        "question": "The world is made up of $10$ kinds of people, those who understand binary and those who do not. These different kinds of people do not always get along so well. Bob might ask for a $10000$ ounce coffee (meaning binary) and Alice might make misinterpret his request as being in decimal and give him a $10011100010000$ ounce coffee (binary). After Sue explains that this much coffee costs $100$ dollars (decimal), Bob might assume he only has to pay $4$ dollars (interpreting the price as being in binary). In response to these differences that are difficult to resolve, these two groups have divided the world into two regions, the binary-friendly zones and the decimal-friendly zones. They have even published a map like the following to help people keep up with where the areas are (they have used ones and zeros so nobody would have trouble reading it).1111100000\n\n1111000000\n\n1110000011\n\n0111100111\n\n0011111111\n\nUsers of binary have to stay in the zones marked with a zero. Users of decimal have to stay in the zones marked with a one. You have to figure out if it is possible for either type of person to get between various locations of interest. People can move north, south, east or west, but cannot move diagonally.\n\n-----Input-----\nInput starts with a line containing two positive integers, $1 \\le r \\le 1000$ and $1 \\le c \\le 1000$. The next $r$ input lines give the contents of the map, each line containing exactly $c$ characters (which are all chosen from $0$ or $1$).\n\nThe next line has an integer $0 \\le n \\le 1000$. The following $n$ lines each contain one query, given as four integers: $r_1,c_1$ and $r_2,c_2$. These two pairs indicate two locations on the map, and their limits are $1 \\le r_1, r_2 \\le r$ and $1 \\le c_1, c_2 \\le c$.\n\n-----Output-----\nFor each query, output binary if a binary user can start from location $r_1, c_1$ and move to location $r_2, c_2$. Output decimal if a decimal user can move between the two locations. Otherwise, output neither.\n\n-----Examples-----\nSample Input:\n1 4\n1100\n2\n1 1 1 4\n1 1 1 1\nSample Output:\nneither\ndecimal",
        "solutions": "",
        "difficulty": "interview",
        "input": "10 20\n11111111111111111111\n11000000000000000101\n11111111111111110000\n11111111111111110000\n11000000000000000111\n00011111111111111111\n00111111111111111111\n10000000000000001111\n11111111111111111111\n11111111111111111111\n3\n2 3 8 16\n8 1 7 3\n1 1 10 20\n",
        "output": "binary\ndecimal\nneither\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/10kindsofpeople"
    },
    {
        "id": 412,
        "task_id": 2959,
        "test_case_id": 1,
        "question": "Dee Siduous is a botanist who specializes in trees. A lot of her research has to do with the formation of tree rings, and what they say about the growing conditions over the tree’s lifetime. She has a certain theory and wants to run some simulations to see if it holds up to the evidence gathered in the field.\n\nOne thing that needs to be done is to determine the expected number of rings given the outline of a tree. Dee has decided to model a cross section of a tree on a two dimenional grid, with the interior of the tree represented by a closed polygon of grid squares. Given this set of squares, she assigns rings from the outer parts of the tree to the inner as follows: calling the non-tree grid squares “ring $0$”, each ring $n$ is made up of all those grid squares that have at least one ring $(n-1)$ square as a neighbor (where neighboring squares are those that share an edge).\n\nAn example of this is shown in the figure below.\n\n Figure D.1 \n\nMost of Dee’s models have been drawn on graph paper, and she has come to you to write a program to do this automatically for her. This way she’ll use less paper and save some $\\ldots $ well, you know.\n\n-----Input-----\nThe input will start with a line containing two positive integers $n$ $m$ specifying the number of rows and columns in the tree grid, where $n, m \\leq 100$. After this will be $n$ rows containing $m$ characters each. These characters will be either ‘T’ indicating a tree grid square, or ‘.’.\n\n\n\n-----Output-----\nOutput a grid with the ring numbers. If the number of rings is less than 10, use two characters for each grid square; otherwise use three characters for each grid square. Right justify all ring numbers in the grid squares, and use ‘.’ to fill in the remaining characters.\n\nIf a row or column does not contain a ring number it should still be output, filled entirely with ‘.’s.\n\n-----Examples-----\nSample Input:\n6 6\n.TT...\nTTTT..\nTTTTT.\nTTTTT.\nTTTTTT\n..T...\nSample Output:\n...1.1......\n.1.2.2.1....\n.1.2.3.2.1..\n.1.2.3.2.1..\n.1.1.2.1.1.1\n.....1......",
        "solutions": "",
        "difficulty": "interview",
        "input": "6 6\n.TT...\nTTTT..\nTTTTT.\nTTTTT.\nTTTTTT\n..T...\n",
        "output": "...1.1......\n.1.2.2.1....\n.1.2.3.2.1..\n.1.2.3.2.1..\n.1.1.2.1.1.1\n.....1......\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/rings2"
    },
    {
        "id": 413,
        "task_id": 2959,
        "test_case_id": 2,
        "question": "Dee Siduous is a botanist who specializes in trees. A lot of her research has to do with the formation of tree rings, and what they say about the growing conditions over the tree’s lifetime. She has a certain theory and wants to run some simulations to see if it holds up to the evidence gathered in the field.\n\nOne thing that needs to be done is to determine the expected number of rings given the outline of a tree. Dee has decided to model a cross section of a tree on a two dimenional grid, with the interior of the tree represented by a closed polygon of grid squares. Given this set of squares, she assigns rings from the outer parts of the tree to the inner as follows: calling the non-tree grid squares “ring $0$”, each ring $n$ is made up of all those grid squares that have at least one ring $(n-1)$ square as a neighbor (where neighboring squares are those that share an edge).\n\nAn example of this is shown in the figure below.\n\n Figure D.1 \n\nMost of Dee’s models have been drawn on graph paper, and she has come to you to write a program to do this automatically for her. This way she’ll use less paper and save some $\\ldots $ well, you know.\n\n-----Input-----\nThe input will start with a line containing two positive integers $n$ $m$ specifying the number of rows and columns in the tree grid, where $n, m \\leq 100$. After this will be $n$ rows containing $m$ characters each. These characters will be either ‘T’ indicating a tree grid square, or ‘.’.\n\n\n\n-----Output-----\nOutput a grid with the ring numbers. If the number of rings is less than 10, use two characters for each grid square; otherwise use three characters for each grid square. Right justify all ring numbers in the grid squares, and use ‘.’ to fill in the remaining characters.\n\nIf a row or column does not contain a ring number it should still be output, filled entirely with ‘.’s.\n\n-----Examples-----\nSample Input:\n6 6\n.TT...\nTTTT..\nTTTTT.\nTTTTT.\nTTTTTT\n..T...\nSample Output:\n...1.1......\n.1.2.2.1....\n.1.2.3.2.1..\n.1.2.3.2.1..\n.1.1.2.1.1.1\n.....1......",
        "solutions": "",
        "difficulty": "interview",
        "input": "3 4\nTT..\nTT..\n....\n",
        "output": ".1.1....\n.1.1....\n........\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/rings2"
    },
    {
        "id": 414,
        "task_id": 3465,
        "test_case_id": 1,
        "question": "The people of Absurdistan discovered how to build roads only last year. After the discovery, each city decided to build its own road, connecting the city to some other city. Each newly built road can be used in both directions.\n\nYou bought a tourist guide which has a map of the country with the newly built roads. However, since you are very interested in history, you would like to know which city built which road.\n\nGiven the description of $n$ roads, can you find an assignment of roads to $n$ cities, such that each city built one road? If there are multiple assignments, you are happy with any one. At least one solution is guaranteed to exist.\n\n-----Input-----\nThe first line contains an integer $n$ $(2\\le n\\le 100000)$ – the number of cities and roads. Then follow $n$ lines with $2$ numbers each. A line containing “$a$ $b$” indicates that there is a road between cities $a$ and $b$, $1 \\le a, b\\le n, a \\not= b$. There can be multiple roads between the same pair of cities.\n\n-----Output-----\nPrint $n$ lines with two integers “$a$$b$” denoting that a road between $a$ and $b$ was built by city $a$. Each road from the input must appear exactly once in the output. If there are multiple solutions, you can print any one and you can print the roads in any order.\n\n-----Examples-----\nSample Input:\n4\n1 2\n2 3\n3 1\n4 1\nSample Output:\n4 1\n2 1\n3 2\n1 3",
        "solutions": "",
        "difficulty": "competition",
        "input": "4\n1 2\n2 3\n3 1\n4 1\n",
        "output": "4 1\n2 1\n3 2\n1 3\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/absurdistan3"
    },
    {
        "id": 415,
        "task_id": 3465,
        "test_case_id": 2,
        "question": "The people of Absurdistan discovered how to build roads only last year. After the discovery, each city decided to build its own road, connecting the city to some other city. Each newly built road can be used in both directions.\n\nYou bought a tourist guide which has a map of the country with the newly built roads. However, since you are very interested in history, you would like to know which city built which road.\n\nGiven the description of $n$ roads, can you find an assignment of roads to $n$ cities, such that each city built one road? If there are multiple assignments, you are happy with any one. At least one solution is guaranteed to exist.\n\n-----Input-----\nThe first line contains an integer $n$ $(2\\le n\\le 100000)$ – the number of cities and roads. Then follow $n$ lines with $2$ numbers each. A line containing “$a$ $b$” indicates that there is a road between cities $a$ and $b$, $1 \\le a, b\\le n, a \\not= b$. There can be multiple roads between the same pair of cities.\n\n-----Output-----\nPrint $n$ lines with two integers “$a$$b$” denoting that a road between $a$ and $b$ was built by city $a$. Each road from the input must appear exactly once in the output. If there are multiple solutions, you can print any one and you can print the roads in any order.\n\n-----Examples-----\nSample Input:\n4\n1 2\n2 3\n3 1\n4 1\nSample Output:\n4 1\n2 1\n3 2\n1 3",
        "solutions": "",
        "difficulty": "competition",
        "input": "2\n1 2\n1 2\n",
        "output": "2 1\n1 2\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/absurdistan3"
    },
    {
        "id": 416,
        "task_id": 3598,
        "test_case_id": 1,
        "question": "Instead of worrying about the current hyperinflation you decide to go down to the local bar and have a drink.\n\nThe prices at the bar are displayed using magnetic signs with numbers printed on them, with each magnet showing one or more digits. For instance, the price of $1106$ megacredits is displayed like this:\n\n\nWhile the bartender is busy serving the next customer, you have just enough time to rearrange the price of your favourite beverage to make it as cheap as possible. But be quick about it!\n\nInvidual magnets can be moved around in any order and turned upside-down. The numbers are shown in a script that makes it difficult for the bartender to distinguish $0$, $1$, and $8$ from their upside-down counterpart. Moreover, $6$ and $9$ look the same when one is turned upside-down. The example price above could be made almost ten times cheaper by turning the first magnet:\n\n\nYou have to use all the magnets, otherwise the bartender will immediately suspect foul play.\n\n-----Input-----\nOn the first line, the number $n$ of magnets, with $1\\in \\{ 1,\\ldots , 1000\\} $. On each of the following $n$ lines, exactly one sequence $m_ i$ of digits describing the $i$th magnet. Each magnet $m_ i$ for $i\\in \\{ 1,\\ldots , n\\} $ consists of at least one and at most $10$ digits from $0$, $1$, $\\ldots $, $9$. The price currently displayed on the bar is the integer described by the juxtaposition $m_1\\cdots m_ n$ of the magnets in the order they are given, from left to right. Note that a magnet can be all $0$s, even though the current price at the bar, alas!, is certainly not.\n\n-----Output-----\nA single line containing the cheapest price formed by the magnets $m_1,\\ldots ,m_ n$, rearranged in any order, and each of them possibly turned upside-down.\n\n-----Examples-----\nSample Input:\n2\n110\n6\nSample Output:\n0116",
        "solutions": "",
        "difficulty": "competition",
        "input": "2\n110\n6\n",
        "output": "0116\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/cheaperdrink"
    },
    {
        "id": 417,
        "task_id": 3598,
        "test_case_id": 2,
        "question": "Instead of worrying about the current hyperinflation you decide to go down to the local bar and have a drink.\n\nThe prices at the bar are displayed using magnetic signs with numbers printed on them, with each magnet showing one or more digits. For instance, the price of $1106$ megacredits is displayed like this:\n\n\nWhile the bartender is busy serving the next customer, you have just enough time to rearrange the price of your favourite beverage to make it as cheap as possible. But be quick about it!\n\nInvidual magnets can be moved around in any order and turned upside-down. The numbers are shown in a script that makes it difficult for the bartender to distinguish $0$, $1$, and $8$ from their upside-down counterpart. Moreover, $6$ and $9$ look the same when one is turned upside-down. The example price above could be made almost ten times cheaper by turning the first magnet:\n\n\nYou have to use all the magnets, otherwise the bartender will immediately suspect foul play.\n\n-----Input-----\nOn the first line, the number $n$ of magnets, with $1\\in \\{ 1,\\ldots , 1000\\} $. On each of the following $n$ lines, exactly one sequence $m_ i$ of digits describing the $i$th magnet. Each magnet $m_ i$ for $i\\in \\{ 1,\\ldots , n\\} $ consists of at least one and at most $10$ digits from $0$, $1$, $\\ldots $, $9$. The price currently displayed on the bar is the integer described by the juxtaposition $m_1\\cdots m_ n$ of the magnets in the order they are given, from left to right. Note that a magnet can be all $0$s, even though the current price at the bar, alas!, is certainly not.\n\n-----Output-----\nA single line containing the cheapest price formed by the magnets $m_1,\\ldots ,m_ n$, rearranged in any order, and each of them possibly turned upside-down.\n\n-----Examples-----\nSample Input:\n2\n110\n6\nSample Output:\n0116",
        "solutions": "",
        "difficulty": "competition",
        "input": "2\n7\n72\n",
        "output": "727\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/cheaperdrink"
    },
    {
        "id": 418,
        "task_id": 3932,
        "test_case_id": 1,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "4\n1 1 1 4\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 419,
        "task_id": 3932,
        "test_case_id": 2,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "5\n1 1 5 2 1\n",
        "output": "NO",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 420,
        "task_id": 3932,
        "test_case_id": 3,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "13\n1 1 1 1 1 1 1 1 1 4 4 4 13\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 421,
        "task_id": 3932,
        "test_case_id": 4,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "4\n1 1 1 3\n",
        "output": "NO",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 422,
        "task_id": 3932,
        "test_case_id": 5,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "24\n1 1 1 1 1 1 1 1 1 1 1 1 24 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 423,
        "task_id": 3932,
        "test_case_id": 6,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "24\n1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24\n",
        "output": "NO",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 424,
        "task_id": 3932,
        "test_case_id": 7,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "10\n1 1 1 1 7 1 1 1 4 10\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 425,
        "task_id": 3932,
        "test_case_id": 8,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "24\n1 1 3 1 1 10 2 9 13 1 8 1 4 1 3 24 1 1 1 1 4 1 3 1\n",
        "output": "NO",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 426,
        "task_id": 3932,
        "test_case_id": 9,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "24\n2 3 20 1 4 9 1 3 1 2 1 3 1 2 1 1 1 2 1 2 4 24 2 1\n",
        "output": "NO",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 427,
        "task_id": 3932,
        "test_case_id": 10,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "24\n8 5 3 1 1 5 10 1 1 1 1 5 1 2 7 3 4 1 1 24 1 1 2 8\n",
        "output": "NO",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 428,
        "task_id": 3932,
        "test_case_id": 11,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "24\n1 1 1 3 4 1 24 1 1 3 1 1 1 5 14 2 17 1 2 2 5 1 1 6\n",
        "output": "NO",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 429,
        "task_id": 3932,
        "test_case_id": 12,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "1\n1\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 430,
        "task_id": 3932,
        "test_case_id": 13,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "17\n6 1 1 1 3 1 1 17 6 1 4 1 1 1 3 1 1\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 431,
        "task_id": 3932,
        "test_case_id": 14,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "23\n1 1 1 1 3 7 3 1 1 1 3 7 1 3 1 15 1 3 7 3 23 1 1\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 432,
        "task_id": 3932,
        "test_case_id": 15,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "24\n1 24 1 1 1 3 8 1 1 3 1 1 6 1 1 1 1 3 5 1 3 7 13 1\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 433,
        "task_id": 3932,
        "test_case_id": 16,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "16\n1 1 1 1 1 1 1 1 1 1 1 1 16 1 1 1\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 434,
        "task_id": 3932,
        "test_case_id": 17,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "21\n1 1 1 6 1 1 13 21 1 1 3 1 8 1 19 3 3 1 1 1 1\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 435,
        "task_id": 3932,
        "test_case_id": 18,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "22\n1 1 1 6 1 1 13 21 1 1 2 1 8 1 19 3 3 1 1 1 1 2\n",
        "output": "NO",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 436,
        "task_id": 3932,
        "test_case_id": 19,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "19\n9 7 1 8 1 1 1 13 1 1 3 3 19 1 1 1 1 1 1\n",
        "output": "NO",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 437,
        "task_id": 3932,
        "test_case_id": 20,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "18\n6 1 1 3 1 1 1 1 1 1 4 1 8 1 1 18 1 5\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 438,
        "task_id": 3932,
        "test_case_id": 21,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "14\n4 1 1 1 3 1 1 1 1 14 1 5 1 3\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 439,
        "task_id": 3932,
        "test_case_id": 22,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "2\n1 2\n",
        "output": "NO",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 440,
        "task_id": 3932,
        "test_case_id": 23,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "24\n3 3 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24\n",
        "output": "NO",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 441,
        "task_id": 3932,
        "test_case_id": 24,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "20\n20 9 4 4 3 3 3 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 442,
        "task_id": 3932,
        "test_case_id": 25,
        "question": "Iahub and Iahubina went to a picnic in a forest full of trees. Less than 5 minutes passed before Iahub remembered of trees from programming. Moreover, he invented a new problem and Iahubina has to solve it, otherwise Iahub won't give her the food. \n\nIahub asks Iahubina: can you build a rooted tree, such that\n\n  each internal node (a node with at least one son) has at least two sons;  node i has c_{i} nodes in its subtree? \n\nIahubina has to guess the tree. Being a smart girl, she realized that it's possible no tree can follow Iahub's restrictions. In this way, Iahub will eat all the food. You need to help Iahubina: determine if there's at least one tree following Iahub's restrictions. The required tree must contain n nodes.\n\n\n-----Input-----\n\nThe first line of the input contains integer n (1 ≤ n ≤ 24). Next line contains n positive integers: the i-th number represents c_{i} (1 ≤ c_{i} ≤ n).\n\n\n-----Output-----\n\nOutput on the first line \"YES\" (without quotes) if there exist at least one tree following Iahub's restrictions, otherwise output \"NO\" (without quotes). \n\n\n-----Examples-----\nInput\n4\n1 1 1 4\n\nOutput\nYES\nInput\n5\n1 1 5 2 1\n\nOutput\nNO",
        "solutions": "[\"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            child=Children[i][j]\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Parent[x]=i\\n            Children[i].append(x)\\n            return True\\n    for i in range(x):\\n        if(Seen[i][x]):\\n            continue\\n        Y=[]\\n        for j in range(len(Children[i])):\\n            \\n            child=Children[i][j]\\n            if(Seen[i][child]):\\n                continue\\n            Parent[child]=-1\\n            Rem[i]+=C[child]\\n            Seen[i][child]=True\\n            Seen[child][i]=True\\n            if(DFS(child)):\\n                Seen[i][child]=False\\n                Seen[child][i]=False\\n                continue\\n            Seen[i][child]=False\\n            Seen[child][i]=False\\n            Parent[child]=i\\n            Rem[i]-=C[child]\\n            Y.append(child)\\n        Children[i]=list(Y)\\n        if(Rem[i]>=C[x]):\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n                continue\\n            Rem[i]-=C[x]\\n            Children[i].append(x)\\n            Parent[x]=i\\n            return True\\n    return False\\n                \\n        \\n\\n\\n\\n\\nn=int(input())\\n\\nC=list(map(int,input().split()))\\nRem=[-1]*n\\nParent=[-1]*n\\nChildren=[]\\nSeen=[]\\nfor i in range(n):\\n    Seen.append([False]*n)\\nC.sort(reverse=True)\\n\\nif(C[0]!=n or C.count(2)>0):\\n    print(\\\"NO\\\")\\n\\nelse:\\n    for i in range(n):\\n        Rem[i]=C[i]-1\\n        Children.append([])\\n    Parent[0]=0\\n    Ans=\\\"YES\\\"\\n    for i in range(1,n):\\n        if(DFS(i)==False):\\n            Ans=\\\"NO\\\"\\n            break\\n    for i in range(n):\\n        if(Rem[i]!=0 and C[i]!=1):\\n            Ans=\\\"NO\\\"\\n            break\\n    print(Ans)\\n            \\n\", \"def DFS(x):\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Parent[x]=i\\n\\n            Children[i].append(x)\\n\\n            return True\\n\\n    for i in range(x):\\n\\n        if(Seen[i][x]):\\n\\n            continue\\n\\n        Y=[]\\n\\n        for j in range(len(Children[i])):\\n\\n            \\n\\n            child=Children[i][j]\\n\\n            if(Seen[i][child]):\\n\\n                continue\\n\\n            Parent[child]=-1\\n\\n            Rem[i]+=C[child]\\n\\n            Seen[i][child]=True\\n\\n            Seen[child][i]=True\\n\\n            if(DFS(child)):\\n\\n                Seen[i][child]=False\\n\\n                Seen[child][i]=False\\n\\n                continue\\n\\n            Seen[i][child]=False\\n\\n            Seen[child][i]=False\\n\\n            Parent[child]=i\\n\\n            Rem[i]-=C[child]\\n\\n            Y.append(child)\\n\\n        Children[i]=list(Y)\\n\\n        if(Rem[i]>=C[x]):\\n\\n            if(Rem[i]==C[x] and len(Children[i])==0):\\n\\n                continue\\n\\n            Rem[i]-=C[x]\\n\\n            Children[i].append(x)\\n\\n            Parent[x]=i\\n\\n            return True\\n\\n    return False\\n\\n                \\n\\n        \\n\\n\\n\\n\\n\\n\\n\\n\\n\\nn=int(input())\\n\\n\\n\\nC=list(map(int,input().split()))\\n\\nRem=[-1]*n\\n\\nParent=[-1]*n\\n\\nChildren=[]\\n\\nSeen=[]\\n\\nfor i in range(n):\\n\\n    Seen.append([False]*n)\\n\\nC.sort(reverse=True)\\n\\n\\n\\nif(C[0]!=n or C.count(2)>0):\\n\\n    print(\\\"NO\\\")\\n\\n\\n\\nelse:\\n\\n    for i in range(n):\\n\\n        Rem[i]=C[i]-1\\n\\n        Children.append([])\\n\\n    Parent[0]=0\\n\\n    Ans=\\\"YES\\\"\\n\\n    for i in range(1,n):\\n\\n        if(DFS(i)==False):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    for i in range(n):\\n\\n        if(Rem[i]!=0 and C[i]!=1):\\n\\n            Ans=\\\"NO\\\"\\n\\n            break\\n\\n    print(Ans)\\n\\n            \\n\\n\\n\\n\\n\\n# Made By Mostafa_Khaled\\n\"]",
        "difficulty": "competition",
        "input": "12\n12 7 4 3 3 1 1 1 1 1 1 1\n",
        "output": "YES",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://codeforces.com/problemset/problem/429/C"
    },
    {
        "id": 443,
        "task_id": 4127,
        "test_case_id": 1,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "198 1.10\n",
        "output": "217\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 444,
        "task_id": 4127,
        "test_case_id": 2,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "1 0.01\n",
        "output": "0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 445,
        "task_id": 4127,
        "test_case_id": 3,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "1000000000000000 9.99\n",
        "output": "9990000000000000\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 446,
        "task_id": 4127,
        "test_case_id": 4,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "776013196293085 2.60\n",
        "output": "2017634310362021\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 447,
        "task_id": 4127,
        "test_case_id": 5,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "776013196293085 8.11\n",
        "output": "6293467021936919\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 448,
        "task_id": 4127,
        "test_case_id": 6,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "999990000000001 9.99\n",
        "output": "9989900100000009\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 449,
        "task_id": 4127,
        "test_case_id": 7,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "999990000000010 9.90\n",
        "output": "9899901000000099\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 450,
        "task_id": 4127,
        "test_case_id": 8,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "999990000000100 9.99\n",
        "output": "9989900100000999\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 451,
        "task_id": 4127,
        "test_case_id": 9,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "981260158257699 5.74\n",
        "output": "5632433308399192\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 452,
        "task_id": 4127,
        "test_case_id": 10,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "547116602434646 4.44\n",
        "output": "2429197714809828\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 453,
        "task_id": 4127,
        "test_case_id": 11,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "408917861643436 0.80\n",
        "output": "327134289314748\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 454,
        "task_id": 4127,
        "test_case_id": 12,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "842184971396729 3.24\n",
        "output": "2728679307325401\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 455,
        "task_id": 4127,
        "test_case_id": 13,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "664706138336385 9.79\n",
        "output": "6507473094313209\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 456,
        "task_id": 4127,
        "test_case_id": 14,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "755808190852409 4.65\n",
        "output": "3514508087463701\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 457,
        "task_id": 4127,
        "test_case_id": 15,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "901335694041665 3.32\n",
        "output": "2992434504218327\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 458,
        "task_id": 4127,
        "test_case_id": 16,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "586599810888828 0.09\n",
        "output": "52793982979994\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 459,
        "task_id": 4127,
        "test_case_id": 17,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "719260799964413 3.27\n",
        "output": "2351982815883630\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 460,
        "task_id": 4127,
        "test_case_id": 18,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "609041597884348 1.20\n",
        "output": "730849917461217\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 461,
        "task_id": 4127,
        "test_case_id": 19,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "816458265788623 1.96\n",
        "output": "1600258200945701\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 462,
        "task_id": 4127,
        "test_case_id": 20,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "814793613347395 1.99\n",
        "output": "1621439290561316\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 463,
        "task_id": 4127,
        "test_case_id": 21,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "0 9.98\n",
        "output": "0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 464,
        "task_id": 4127,
        "test_case_id": 22,
        "question": "Compute A \\times B, truncate its fractional part, and print the result as an integer.\n\n-----Constraints-----\n - 0 \\leq A \\leq 10^{15}\n - 0 \\leq B < 10\n - A is an integer.\n - B is a number with two digits after the decimal point.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nA B\n\n-----Output-----\nPrint the answer as an integer.\n\n-----Sample Input-----\n198 1.10\n\n-----Sample Output-----\n217\n\nWe have 198 \\times 1.10 = 217.8. After truncating the fractional part, we have the answer: 217.",
        "solutions": "[\"a, b = input().split()\\na = int(a)\\nb1, b2 = b.split('.')\\nb3 = int(b1)*100 + int(b2)\\n\\nprint((a*b3//100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB = B[0]+B[2:]\\n\\nif A*int(B) >= 100:\\n  print(str(A*int(B))[:-2])\\nelse:\\n  print(0)\", \"from decimal import Decimal\\na, b = list(map(Decimal, input().split()))\\nprint((int(a*b)))\\n\", \"\\ndef ri():\\n    return int(input())\\n\\n\\ndef rii():\\n    return [str(v) for v in input().split()]\\n\\nA, B = rii()\\nA = int(A)\\nB, F = [int(v) for v in B.split(\\\".\\\")]\\nB = 100 * B + F\\n\\nprint((A * B) // 100)\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nA_ = int(A)\\nB_ = (B*100)\\n\\nprint((int(A_*B_/100)))\\n\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(''.join(b.split('.')))\\n\\nprint(((a*b)//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint((a * b // 100))\\n\", \"a,b=input().split()\\nnum=int(b[0])*100+int(b[2])*10+int(b[3])\\nprint(num*int(a)//100)\", \"A, B = input().split()\\nA = int(A)\\ni, d = list(map(int, B.split(\\\".\\\")))\\nB_m = i * 100 + d\\nans = A * B_m // 100\\nprint(ans)\\n\", \"import math\\nl = input().split(\\\" \\\")\\na = int(l[0])\\n\\nb = (l[1].split(\\\".\\\"))\\nc = int(b[0])\\nd = int(b[1])\\n\\ne = a*(c*100 + d)//100\\nprint(e)\", \"A,B = input().split()\\nprint((int(A)*round(100*float(B)))//100)\", \"import decimal\\n\\na, b = input().split()\\na = int(a)\\nb = decimal.Decimal(b)\\nc = b * 100\\nx = a * int(c)\\nprint(x//100)\", \"import decimal as d\\na,b=input().split()\\nprint(int(int(a)*d.Decimal(b)))\", \"a, b = map(float, input().split())\\nib = b * 100\\nans = int(a) * round(ib) // 100\\nprint(ans)\", \"#n = int(input())\\n#a, b = map(int, input().split())\\n#al = list(map(int, input().split()))\\n#al=[list(input()) for i in range(n)]\\n\\na, b = list(map(str, input().split()))\\n\\na = int(a)\\nb = int(b[0]+b[2:])\\nprint((a*b//100))\\n\", \"a,b = list(map(str,input().split()))\\na = int(a)\\nb = 100*int(b[0])+10*int(b[2])+int(b[3])\\nprint((a*b//100))\\n\\n\", \"A, B = list(map(str, input().split()))\\nans = int(A) * int(B[0]) * 100\\nans += (int(A) * int(B[2]) * 10)\\nans += (int(A) * int(B[3]))\\nprint((ans // 100))\\n\", \"A,B = input().split()\\nA = int(A)\\nB1, B2 = B.split('.')\\nB = int(B1)*10**len(B2)+int(B2)\\nprint(((A*B)//10**len(B2)))\\n\", \"inputs = input().split(\\\" \\\")\\nproduct = int(inputs[0])*(round(float(inputs[1])*100))\\nprint(product//100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100*float(B))\\n\\nprint(A*B//100)\", \"a, b = input().split()\\n \\na = int(a)\\nb = int(b.replace('.', ''))\\n \\nans = a * b // 100\\nprint(ans)\", \"x, y = input().split()\\ny = float(y) * 100 + 0.01\\nans = int(x) * int(y)\\nprint(ans//100)\", \"a,b = input().split()\\na = int(a)\\nb = int(b[0]+b[2]+b[3])\\nprint(a * b // 100)\", \"a,b = input().split()\\n\\na = int(a)\\nb = int(b.replace('.',''))\\n\\nprint((a*b//100))\\n\", \"a, B = input().split()\\na = int(a)\\ni = 2\\nans = 0\\nfor b in B:\\n    if b == \\\".\\\":\\n        continue\\n    ans += int(b) * a * 10 ** i\\n    i -= 1\\nprint((ans // 100))\\n\", \"A,B = input().split()\\n\\n\\nA = int(A)\\nB = int(B[:len(B)-3] + B[len(B)-2:])\\n\\nprint(int((A*B)//100))\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(int(a*b//100))\", \"A, B = input().split()\\n\\nprint(int(A) * round(float(B) * 100) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"A,B=input().split()\\nA=int(A)\\nB=round(100*float(B))\\nprint(A*B//100)\", \"# C\\nfrom decimal import Decimal\\nA,B = map(Decimal,input().split())\\nans = A * B\\n\\nprint(int(ans))\", \"import sys\\nimport math\\nfrom collections import defaultdict, deque, Counter\\nfrom copy import deepcopy\\nfrom bisect import bisect, bisect_right, bisect_left\\nfrom heapq import heapify, heappop, heappush\\n    \\ninput = sys.stdin.readline\\ndef RD(): return input().rstrip()\\ndef F(): return float(input().rstrip())\\ndef I(): return int(input().rstrip())\\ndef MI(): return map(int, input().split())\\ndef MF(): return map(float,input().split())\\ndef LI(): return list(map(int, input().split()))\\ndef TI(): return tuple(map(int, input().split()))\\ndef LF(): return list(map(float,input().split()))\\ndef Init(H, W, num): return [[num for i in range(W)] for j in range(H)]\\n    \\n    \\ndef main():\\n    A, B = input().rstrip().split()\\n    A = int(A)\\n    B = int(B.replace('.', ''))\\n    print((A*B)//100)\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"import math\\nA,B = map(float,input().split())\\nB =  B*100\\nans = int(A)*round(B)//100\\nprint(ans)\", \"a=input().split()\\na1=int(a[0])\\na2=a[1]\\na3=a2[0]+a2[2:]\\na3=int(a3)\\nprint(((a1*a3)//100))\\n\", \"from decimal import Decimal\\nimport math\\na,b=map(str,input().split())\\n\\nc=math.floor(Decimal(a)*Decimal(b))\\n\\nprint(c)\", \"a,b = input().split()\\nb = b.replace('.','')\\na = int(a)\\nprint((a*int(b)//100))\\n\", \"A,B = map(str,input().split())\\nA = int(A)\\nC,D = map(int,B.split('.'))\\nB1 = C*100+D\\nprint(int((A*B1)//100))\", \"def main():\\n    from decimal import Decimal\\n    N, M = (Decimal(i) for i in input().split())\\n    print((int(N * M)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"def LS():\\n    return list(input().split())\\n\\n\\nA, B = LS()\\nA = int(A)\\nB = B.replace(\\\".\\\", \\\"\\\", 1)\\nB = int(B)\\nans = A*B\\nans //= 100\\nprint(ans)\\n\", \"a, b = map(str, input().split())\\ni, f = b.split(\\\".\\\")[0], b.split(\\\".\\\")[1][0:2]\\nb = int(i) * 100 + int(f)\\nprint(int(a) * b // 100)\", \"A, B = input().split()\\nA = int(A)\\nB = round(100 * float(B))\\nprint(A*B//100)\", \"a,b=input().split()\\na=int(a)\\nb=int(b[0])*100+int(b[2])*10+int(b[3])\\ns=a*b\\nprint(s//100)\", \"from decimal import Decimal, ROUND_DOWN\\na, b = map(lambda x: Decimal(x), input().split())\\nprint(Decimal(a * b).quantize(Decimal('1.'), rounding=ROUND_DOWN))\", \"A, B = input().split()\\nA = int(A)\\nB = int(''.join([b for b in B if b != '.']))\\n\\nprint(A * B // 100)\", \"a, b = input().split()\\na = int(a)\\nprint((a * int(b[0]) + a * (int(b[2]) * 10 + int(b[3])) // 100))\\n\", \"a,b=input().split();print(int(a)*int(b[0]+b[2:])//100)\", \"A, B=(input().split())\\nA=int(A)\\nC=int(B[0])*100+int(B[2])*10+int(B[3])\\nprint((int(A*C//100)))\\n\\n\", \"import decimal\\na, b = input().split()\\nx=decimal.Decimal(a)\\ny=decimal.Decimal(b)\\nans = int(x * y) \\nprint(ans)\", \"import math\\nimport fractions\\na, b = list(map(str, input().split()))\\na, b = int(a), fractions.Fraction(b)\\nprint((math.floor(a*b)))\\n\", \"from decimal import *\\nimport math\\n\\na, b = list(map(Decimal, input().split()))\\nprint((math.floor(a * b)))\\n\", \"a,b = input().split()\\na = int(a)\\nb = int(b.replace(\\\".\\\",\\\"\\\"))\\nprint((a*b)//100)\", \"A,B=input().split()\\nA=int(A)\\nB=100*int(B[0])+10*int(B[2])+int(B[3])\\nprint(A*B//100)\", \"import math\\nfrom decimal import *\\na,b=map(str,input().split())\\nans=(Decimal(a)*Decimal(b))//1\\nprint(ans)\", \"a, b = input().split()\\nc, d = b.split('.')\\ne = int(c) * 100 + int(d)\\nf = int(a) * e\\nprint((f // 100))\\n\", \"import decimal\\nA,B = map(decimal.Decimal,input().split())\\nnum = A*B\\nprint(int(num)//1)\", \"line = input().split()\\na = int(line[0])\\nb = round(float(line[1])*100)\\n\\nprint(a*b//100)\", \"import math\\n\\n\\ndef main() -> None:\\n    a, b = input().split()\\n\\n    print(((int(a)*int(b.replace('.', ''))) // 100))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"A,B=input().split()\\nA=int(A)\\nB=int(100*float(B)+0.5)\\nprint((A*B//100))\\n\", \"a, b = input().split()\\na = int(a)\\nb = int(b.replace('.', ''))\\nprint(int(a * b) // 100)\", \"a, b = input().split()\\na = int(a)\\nb = round(100*float(b))\\nprint(a*b//100)\", \"from fractions import Decimal, Fraction\\na,b = input().split()\\na = Fraction(a)\\nx = Decimal(b).as_integer_ratio()\\nb = Fraction(x[0], x[1])\\nprint(int(a*b))\", \"import math\\nimport decimal\\n\\nA, B = map(str, input().split())\\nA = int(A)\\nB = decimal.Decimal(B)\\nprint(math.floor(A*B))\", \"def main(A, B):\\n    B = round(100 * B)\\n    ans = A * B\\n    return int(ans // 100)\\n\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    ans = main(A, B)\\n    print(ans)\\n\\n__starting_point()\", \"A,B = input().split()\\nA = int(A)\\nC = \\\"\\\"\\nfor i in range(len(B)):\\n    if(i != 1):\\n        C += B[i]\\nC = int(C)\\nmultiply = str(A * C)\\nif(A * C < 100):\\n    print(0)\\n    return\\nans = \\\"\\\"\\nfor i in range(len(multiply) - 2):\\n    ans += multiply[i]\\nprint(int(ans))\", \"a, b = input().split()\\n\\na = int(a)\\n\\nb = round(float(b) * 100)\\n\\nprint(int(a * b // 100))\", \"import math\\nfrom decimal import *\\na,b=map(str, input().split())\\na_ = Decimal(a)\\nb_ = Decimal(b)\\nprint(math.floor(a_*b_))\", \"x,y = list(input().split())\\nx = int(x)\\ny = int(y[0]+y[2]+y[3])\\nprint(x*y//100)\", \"s=input().split()\\na=int(s[0])\\nb=int(s[1].replace('.',''))\\nprint((a*b//100))\\n\", \"from decimal import *\\nA,B=list(map(Decimal,input().split()))\\n#print(A)\\n#print(B*100)\\nprint((int((A*(B*100))//100)))\\n\", \"#from statistics import median\\n#import collections\\n#aa = collections.Counter(a) # list to list || .most_common(2)\\u3067\\u6700\\u5927\\u306e2\\u500b\\u3068\\u308a\\u3060\\u305b\\u308b\\u304a a[0][0]\\nfrom fractions import gcd\\nfrom itertools import combinations,permutations,accumulate, product # (string,3) 3\\u56de\\n#from collections import deque\\nfrom collections import deque,defaultdict,Counter\\nimport decimal\\nimport re\\nimport math\\nimport bisect\\nimport heapq\\n#\\n#\\n#\\n# python\\u3067\\u7121\\u7406\\u306a\\u3068\\u304d\\u306f\\u3001pypy\\u3067\\u3084\\u308b\\u3068\\u6b63\\u89e3\\u3059\\u308b\\u304b\\u3082\\uff01\\uff01\\n#\\n#\\n# my_round_int = lambda x:np.round((x*2 + 1)//2)\\n# \\u56db\\u6368\\u4e94\\u5165g\\n#\\n# \\u30a4\\u30f3\\u30c7\\u30c3\\u30af\\u30b9\\u7cfb\\n# int min_y = max(0, i - 2), max_y = min(h - 1, i + 2);\\n# int min_x = max(0, j - 2), max_x = min(w - 1, j + 2);\\n#\\n#\\nimport sys\\nsys.setrecursionlimit(10000000)\\nmod = 10**9 + 7\\n#mod = 9982443453\\n#mod = 998244353\\nfrom sys import stdin\\nreadline = stdin.readline\\ndef readInts():\\n  return list(map(int,readline().split()))\\ndef readTuples():\\n    return tuple(map(int,readline().split()))\\ndef I():\\n    return int(readline())\\na,b = list(map(decimal.Decimal,input().split()))\\nprint((int(a*b)))\\n\", \"a,b=input().split()\\na = int(a)\\nb = int(b.replace('.',\\\"\\\"))\\n\\nprint((int(a*b)//100))\\n\", \"from decimal import *\\nA, B = list(map(Decimal, input().split()))\\nprint((int(A*B)))\\n\", \"# coding=utf-8\\n\\ndef __starting_point():\\n    A, B = input().split()\\n    A = int(A)\\n    B = float(B)\\n    B = int(B*100+0.5)\\n\\n    print((A*B//100))\\n\\n__starting_point()\", \"#submit 16999743\\na, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\\n\", \"from math import floor\\nfrom fractions import Fraction\\na,b = input().split()\\na = int(a)\\nb = Fraction(b)\\n\\nprint(floor(a*b))\", \"import math,string,itertools,fractions,heapq,collections,re,array,bisect,sys,random,time, copy,bisect\\n#from operator import itemgetter\\n#from heapq import heappush, heappop\\n#import numpy as np\\n#from scipy.sparse.csgraph import breadth_first_order, depth_first_order, shortest_path, floyd_warshall, dijkstra, bellman_ford, johnson\\n#from scipy.sparse import csr_matrix\\n#from decimal import Decimal, ROUND_HALF_UP, ROUND_HALF_EVEN\\nimport sys\\n\\nsys.setrecursionlimit(10**7)\\ninf = 10**20\\nmod = 10**9 + 7\\n\\nstdin = sys.stdin\\n\\nni = lambda: int(ns())\\nnf = lambda: float(ns())\\nna = lambda: list(map(int, stdin.readline().split()))\\nnb = lambda: list(map(float, stdin.readline().split()))\\nns = lambda: stdin.readline().rstrip()  # ignore trailing spaces\\n\\nfrom decimal import Decimal\\na, b = map(Decimal, input().split())\\nprint(int(a*b))\", \"from decimal import Decimal\\nfrom decimal import ROUND_FLOOR\\n\\nA, B = [Decimal(i) for i in input().split()]\\n\\nprint(((A*B).quantize(Decimal(0), rounding=ROUND_FLOOR)))\\n\", \"from decimal import *\\n\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(int(a*b))\", \"a,b = map(str,input().split())\\na = int(a)\\nb = list(b)\\nc = int(b[0])*100 + int(b[2])*10 + int(b[3])\\nnum = a*c\\nprint(num//100)\", \"a,b = map(str, input().split())\\na = int(a)\\nli_b = []\\nfor i in range(4):\\n    B = b[i]\\n    if B!=\\\".\\\":\\n        li_b.append(int(B))\\nb = 100*li_b[0] + 10*li_b[1] + li_b[2]\\n\\nans = a*b // 100\\nprint(ans)\", \"from decimal import Decimal\\nA, B = input().split()\\na=Decimal(A)\\nb=Decimal(B)\\nprint(int(a*b))\", \"import re\\na,b,c=map(int, re.split(\\\"[ .]\\\",input()))\\nprint(a*(b*100+c)//100)\", \"A,B=map(float,input().split())\\nA =int(A)\\nB=round(100*B)\\nprint(A*B//100)\", \"from decimal import Decimal\\nfrom math import floor\\n\\n\\ndef main():\\n    a, b = list(map(Decimal, input().split()))\\n    print((floor(a * b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"from decimal import Decimal\\n\\nA, B = list(map(Decimal, input().split()))\\n\\nans = A * B\\n\\nprint((int(ans)))\\n\\n\", \"from decimal import Decimal\\nfrom math import floor\\na, b = map(Decimal, input().split())\\nprint(floor(a*b))\", \"from decimal import Decimal\\na, b = map(Decimal,input().split())\\nscore=a*b\\nscore = int(score)\\nprint(score)\", \"a, b = input().split()\\n\\na = int(a)\\nb1, b2 = b.split('.')\\n\\nans = a * (int(b1) * 100 + int(b2)) // 100\\nprint(ans)\", \"from decimal import Decimal\\n\\na, b = input().split()\\n\\na = Decimal(a)\\nb = Decimal(b)\\n\\nprint(int(a*b))\", \"# -*- coding: utf-8 -*-\\nfrom decimal import Decimal  \\nimport math\\n\\na, b = input().split()\\n\\na = int(a)\\nb = Decimal(b)\\n\\nx = a * b\\n\\nprint((math.floor(int(a) * Decimal(b))))\\n\\n\", \"a,b=map(int,input().replace('.','').split())\\nprint(a*b//100)\", \"#!/usr/bin/env python3\\n\\nimport decimal\\n#import\\n#import math\\n#import numpy as np\\n#= int(input())\\n#= input()\\nA, B = list(map(decimal.Decimal, input().split()))\\n\\nprint((int(A * B)))\\n\", \"a, b = map(str, input().split())\\na, b = int(a), int(b.split(\\\".\\\")[0])*100 + int(b.split(\\\".\\\")[1])\\nprint(a*b//100)\", \"from math import floor\\nfrom decimal import Decimal\\na, b = input().split()\\na = int(a)\\nb = Decimal(b)\\nprint(floor(a * b))\", \"import math\\nimport decimal\\ndef i_input(): return int(input())\\n\\n\\ndef i_map(): return map(int, input().split())\\n\\n\\ndef i_list(): return list(map(int, input().split()))\\n\\n\\ndef i_row(N): return [int(input()) for _ in range(N)]\\n\\n\\ndef i_row_list(N): return [list(map(int, input().split())) for _ in range(N)]\\n\\na,b=map(decimal.Decimal, input().split())\\nprint(int(a*b))\", \"import sys\\nfrom collections import deque, defaultdict, Counter\\nfrom itertools import accumulate, product, permutations, combinations\\nfrom operator import itemgetter\\nfrom bisect import bisect_left, bisect_right\\nfrom heapq import heappop, heappush\\nfrom math import ceil, floor, sqrt, gcd, inf\\nfrom copy import deepcopy\\nimport numpy as np\\nimport scipy as sp\\n\\nINF = inf\\nMOD = 1000000007\\n\\na, b = input().split()\\n\\ntmp = 0\\nres = 0\\n\\na = int(a)\\nb = int(b.replace(\\\".\\\", \\\"\\\"))\\nres = a * b // 100\\n\\nprint(res)\\n\", \"import math\\n\\na, b = list(map(float, input().split()))\\n\\na = int(a)\\nb = int(round(b * 100))\\n\\nans = a * b\\n\\nans = ans // 100\\n\\nprint(ans)\\n\", \"import sys\\ninput = sys.stdin.readline\\n\\ndef main():\\n    a, b = input().split()\\n    c, d = b.split(\\\".\\\")\\n    if len(d) == 1:\\n        d = d + '0'\\n    \\n    p, q = int(a), int(c) * 100 + int(d)\\n    ans = p * q // 100\\n\\n    print(ans)\\n    \\n    \\n    \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\nimport decimal\\nA,B = input().split(' ')\\nanswer = math.floor(int(A)*decimal.Decimal(B))\\nprint(answer)\\n\\n\", \"\\nM, N = input().split()   # 2\\u3064\\u6574\\u6570\\u306e\\u8aad\\u307f\\u53d6\\u308a\\nA=int(M)\\nB=N.replace(\\\".\\\",\\\"\\\")\\nB=int(B)\\n\\nC=A*B//100\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "999999999999999 0.00\n",
        "output": "0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc169/tasks/abc169_c"
    },
    {
        "id": 465,
        "task_id": 4297,
        "test_case_id": 1,
        "question": "You are given a positive integer N.\nFind the minimum positive integer divisible by both 2 and N.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the minimum positive integer divisible by both 2 and N.\n\n-----Sample Input-----\n3\n\n-----Sample Output-----\n6\n\n6 is divisible by both 2 and 3.\nAlso, there is no positive integer less than 6 that is divisible by both 2 and 3.\nThus, the answer is 6.",
        "solutions": "[\"n = int(input())\\nprint((n if n%2==0 else n*2))\\n\", \"N =int(input())\\nif N%2==0:\\n    print(N)\\nelse:\\n    print((2*N))\\n\", \"N = int(input())\\n\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print((n*2))\\n\", \"N = int(input())\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n  \\tprint(n * 2)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"from math import gcd\\nprint((n:=int(input()))*2//gcd(2,n))\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"\\nN = int(input())\\n\\nif(N % 2 == 0):\\n    print(N)\\nelse:\\n    print((2 * N))\\n\", \"n = int(input())\\nprint(n if n%2 == 0 else 2*n)\", \"import sys\\nimport math\\n\\nN = int(input())\\n\\nprint(int((N*2)/math.gcd(N, 2)))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"a=int(input())\\nb=2\\nimport math\\nprint(int(a*b/math.gcd(a, b)))\", \"N = int(input())\\nif N % 2 == 0:\\n  ans = N\\nelse:\\n  ans = 2 * N\\n  \\nprint(ans)\", \"n=int(input())\\nprint(n if n%2==0 else n*2)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n=int(input())\\nans=n if n%2==0 else 2*n\\nprint(ans)\", \"N = int(input())\\nprint(N if N % 2 == 0 else 2 * N)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n * 2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"n=input()\\nif int(n)%2==0:\\n  print(n)\\nelse:\\n  print((int(n)*2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((2*n))\\n\", \"N=int(input())\\nif N%2==0:\\n    ans=N\\nelse:\\n    ans=N*2\\nprint(ans)\", \"\\nn=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int (input ())\\nif n%2 == 0:\\n  print (n)\\nelse:\\n  print (n*2)\", \"num = int(input())\\nif(num %2 != 0):\\n  print(num*2)\\nelse:\\n  print(num)\", \"n = int(input())\\nif n%2:\\n  print(2*n)\\nelse:\\n  print(int(2*(n/2)))\", \"#\\n# abc102 a\\n#\\n\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"3\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"6\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"999999999\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"1999999998\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((N*2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"\\nn = int(input())\\n\\nif n % 2 == 0: print(n)\\nelse: print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"import math\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\nn = int(input())\\nprint(lcm(2, n))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"import math\\nN = int(input())\\ndef lcm(a,b):\\n    return int(a*b//math.gcd(a,b))\\nprint(lcm(2,N))\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"n = int(input())\\nprint([n, 2*n][n%2])\", \"from numpy import lcm\\nn = int(input())\\nprint(lcm(2, n))\", \"N = int(input().rstrip())\\nif N&1==1:\\n    print(N*2)\\nelse:\\n    print(N)\", \"\\ndef main():\\n    n = int(input())\\n    if n % 2 == 0:\\n        print(n)\\n    else:\\n        print((2 * n))\\n        \\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(N*2)\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nif (n%2==0):\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"import math\\n\\nn = int(input())\\n\\nprint(2 * n // math.gcd(2, n))\", \"n = int(input())\\n\\nprint((n if n % 2 == 0 else 2 * n))\\n\", \"n = int(input())\\nprint(2*n if n%2 else n)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"a = int(input())\\n\\nif a%2 == 0:\\n    print(a)\\nelse:\\n    print((a*2))\\n\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelif n % 2 != 0:\\n    print(2 * n)\", \"N=int(input())\\nif N%2==0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N * 2)\", \"import math\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = 2 * n // gcd\\nprint(lcm)\\n\", \"N=int(input())\\nif N%2==0 :\\n  print(N)\\nelse :\\n  print(N*2)\", \"a=int(input())\\nprint(a*((a%2)+1))\", \"import math\\nN = int(input())\\nprint((2*N)//math.gcd(2,N))\", \"num = int(input())\\n\\nif num % 2 == 0:\\n    print(num)\\nelse:\\n    print((num * 2))\\n\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"def main():\\n    n = int(input())\\n    print(n if n%2==0 else 2*n)\\n\\n\\nmain()\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> int:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        int: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N = int(input())\\n\\n    return N\\n\\n\\ndef main(N: int) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u6b63\\u6574\\u6570(1 <= N <= 10^9)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    ans = N\\n    if ans % 2 != 0:\\n        ans *= 2\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N)\\n\\n__starting_point()\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n * 2)\", \"import math\\n\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = int(2*n/gcd)\\nans = lcm\\n\\nprint(ans)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"N = int(input())\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"import math\\n\\nN=int(input())\\nprint((2*N//math.gcd(2,N)))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N = int(readline())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((2 * N))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print((N * 2))\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN = int(input())\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nans = N\\nif ans % 2 != 0:\\n    ans *= 2\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"n=int(input())\\nprint(n*(1+n%2))\", \"import sys\\nimport math\\n\\n#https://atcoder.jp/contests/agc008/submissions/15248942\\nsys.setrecursionlimit(10 ** 8)\\nini = lambda: int(sys.stdin.readline())\\ninm = lambda: map(int, sys.stdin.readline().split())\\ninl = lambda: list(inm())\\nins = lambda: sys.stdin.readline().rstrip()\\ndebug = lambda *a, **kw: print(\\\"\\\\033[33m\\\", *a, \\\"\\\\033[0m\\\", **dict(file=sys.stderr, **kw))\\n\\nN = ini()\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"import math\\nn = int(input())\\na = math.gcd(n, 2)  # \\u6700\\u5927\\u516c\\u7d04\\u6570\\nprint(n * 2 // a)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"N = int(input())\\n\\nif N % 2 == 0 :\\n    print(N)\\nelse :\\n    print(2*N)\", \"import math\\na = int(input())\\nprint(a*2//math.gcd(a, 2))\", \"N = int(input())\\n\\nif N % 2 == 0:\\n   print(N)\\nelse:\\n   print(2 * N)\", \"N = int(input())\\nprint(N if N%2 == 0 else N*2)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"#\\nimport sys\\nimport math\\nimport numpy as np\\nimport itertools\\n\\n\\nn = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"import math\\nN=int(input())\\nprint(2*N//math.gcd(2,N))\", \"N = int(input())\\nprint((N if N%2==0 else N*2))\\n\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a * 2)\", \"n=int(input())\\nif n%2:print(2*n)\\nelse:print(n)\", \"N = int(input())\\n\\nfor i in range(2, 10**6):\\n    if N % 2 == 0:\\n        break\\n    N *= i\\n\\nprint(N)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\"]",
        "difficulty": "introductory",
        "input": "3\n",
        "output": "6\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc102/tasks/abc102_a"
    },
    {
        "id": 466,
        "task_id": 4297,
        "test_case_id": 2,
        "question": "You are given a positive integer N.\nFind the minimum positive integer divisible by both 2 and N.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the minimum positive integer divisible by both 2 and N.\n\n-----Sample Input-----\n3\n\n-----Sample Output-----\n6\n\n6 is divisible by both 2 and 3.\nAlso, there is no positive integer less than 6 that is divisible by both 2 and 3.\nThus, the answer is 6.",
        "solutions": "[\"n = int(input())\\nprint((n if n%2==0 else n*2))\\n\", \"N =int(input())\\nif N%2==0:\\n    print(N)\\nelse:\\n    print((2*N))\\n\", \"N = int(input())\\n\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print((n*2))\\n\", \"N = int(input())\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n  \\tprint(n * 2)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"from math import gcd\\nprint((n:=int(input()))*2//gcd(2,n))\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"\\nN = int(input())\\n\\nif(N % 2 == 0):\\n    print(N)\\nelse:\\n    print((2 * N))\\n\", \"n = int(input())\\nprint(n if n%2 == 0 else 2*n)\", \"import sys\\nimport math\\n\\nN = int(input())\\n\\nprint(int((N*2)/math.gcd(N, 2)))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"a=int(input())\\nb=2\\nimport math\\nprint(int(a*b/math.gcd(a, b)))\", \"N = int(input())\\nif N % 2 == 0:\\n  ans = N\\nelse:\\n  ans = 2 * N\\n  \\nprint(ans)\", \"n=int(input())\\nprint(n if n%2==0 else n*2)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n=int(input())\\nans=n if n%2==0 else 2*n\\nprint(ans)\", \"N = int(input())\\nprint(N if N % 2 == 0 else 2 * N)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n * 2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"n=input()\\nif int(n)%2==0:\\n  print(n)\\nelse:\\n  print((int(n)*2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((2*n))\\n\", \"N=int(input())\\nif N%2==0:\\n    ans=N\\nelse:\\n    ans=N*2\\nprint(ans)\", \"\\nn=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int (input ())\\nif n%2 == 0:\\n  print (n)\\nelse:\\n  print (n*2)\", \"num = int(input())\\nif(num %2 != 0):\\n  print(num*2)\\nelse:\\n  print(num)\", \"n = int(input())\\nif n%2:\\n  print(2*n)\\nelse:\\n  print(int(2*(n/2)))\", \"#\\n# abc102 a\\n#\\n\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"3\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"6\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"999999999\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"1999999998\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((N*2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"\\nn = int(input())\\n\\nif n % 2 == 0: print(n)\\nelse: print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"import math\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\nn = int(input())\\nprint(lcm(2, n))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"import math\\nN = int(input())\\ndef lcm(a,b):\\n    return int(a*b//math.gcd(a,b))\\nprint(lcm(2,N))\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"n = int(input())\\nprint([n, 2*n][n%2])\", \"from numpy import lcm\\nn = int(input())\\nprint(lcm(2, n))\", \"N = int(input().rstrip())\\nif N&1==1:\\n    print(N*2)\\nelse:\\n    print(N)\", \"\\ndef main():\\n    n = int(input())\\n    if n % 2 == 0:\\n        print(n)\\n    else:\\n        print((2 * n))\\n        \\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(N*2)\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nif (n%2==0):\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"import math\\n\\nn = int(input())\\n\\nprint(2 * n // math.gcd(2, n))\", \"n = int(input())\\n\\nprint((n if n % 2 == 0 else 2 * n))\\n\", \"n = int(input())\\nprint(2*n if n%2 else n)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"a = int(input())\\n\\nif a%2 == 0:\\n    print(a)\\nelse:\\n    print((a*2))\\n\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelif n % 2 != 0:\\n    print(2 * n)\", \"N=int(input())\\nif N%2==0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N * 2)\", \"import math\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = 2 * n // gcd\\nprint(lcm)\\n\", \"N=int(input())\\nif N%2==0 :\\n  print(N)\\nelse :\\n  print(N*2)\", \"a=int(input())\\nprint(a*((a%2)+1))\", \"import math\\nN = int(input())\\nprint((2*N)//math.gcd(2,N))\", \"num = int(input())\\n\\nif num % 2 == 0:\\n    print(num)\\nelse:\\n    print((num * 2))\\n\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"def main():\\n    n = int(input())\\n    print(n if n%2==0 else 2*n)\\n\\n\\nmain()\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> int:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        int: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N = int(input())\\n\\n    return N\\n\\n\\ndef main(N: int) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u6b63\\u6574\\u6570(1 <= N <= 10^9)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    ans = N\\n    if ans % 2 != 0:\\n        ans *= 2\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N)\\n\\n__starting_point()\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n * 2)\", \"import math\\n\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = int(2*n/gcd)\\nans = lcm\\n\\nprint(ans)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"N = int(input())\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"import math\\n\\nN=int(input())\\nprint((2*N//math.gcd(2,N)))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N = int(readline())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((2 * N))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print((N * 2))\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN = int(input())\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nans = N\\nif ans % 2 != 0:\\n    ans *= 2\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"n=int(input())\\nprint(n*(1+n%2))\", \"import sys\\nimport math\\n\\n#https://atcoder.jp/contests/agc008/submissions/15248942\\nsys.setrecursionlimit(10 ** 8)\\nini = lambda: int(sys.stdin.readline())\\ninm = lambda: map(int, sys.stdin.readline().split())\\ninl = lambda: list(inm())\\nins = lambda: sys.stdin.readline().rstrip()\\ndebug = lambda *a, **kw: print(\\\"\\\\033[33m\\\", *a, \\\"\\\\033[0m\\\", **dict(file=sys.stderr, **kw))\\n\\nN = ini()\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"import math\\nn = int(input())\\na = math.gcd(n, 2)  # \\u6700\\u5927\\u516c\\u7d04\\u6570\\nprint(n * 2 // a)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"N = int(input())\\n\\nif N % 2 == 0 :\\n    print(N)\\nelse :\\n    print(2*N)\", \"import math\\na = int(input())\\nprint(a*2//math.gcd(a, 2))\", \"N = int(input())\\n\\nif N % 2 == 0:\\n   print(N)\\nelse:\\n   print(2 * N)\", \"N = int(input())\\nprint(N if N%2 == 0 else N*2)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"#\\nimport sys\\nimport math\\nimport numpy as np\\nimport itertools\\n\\n\\nn = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"import math\\nN=int(input())\\nprint(2*N//math.gcd(2,N))\", \"N = int(input())\\nprint((N if N%2==0 else N*2))\\n\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a * 2)\", \"n=int(input())\\nif n%2:print(2*n)\\nelse:print(n)\", \"N = int(input())\\n\\nfor i in range(2, 10**6):\\n    if N % 2 == 0:\\n        break\\n    N *= i\\n\\nprint(N)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\"]",
        "difficulty": "introductory",
        "input": "10\n",
        "output": "10\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc102/tasks/abc102_a"
    },
    {
        "id": 467,
        "task_id": 4297,
        "test_case_id": 3,
        "question": "You are given a positive integer N.\nFind the minimum positive integer divisible by both 2 and N.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the minimum positive integer divisible by both 2 and N.\n\n-----Sample Input-----\n3\n\n-----Sample Output-----\n6\n\n6 is divisible by both 2 and 3.\nAlso, there is no positive integer less than 6 that is divisible by both 2 and 3.\nThus, the answer is 6.",
        "solutions": "[\"n = int(input())\\nprint((n if n%2==0 else n*2))\\n\", \"N =int(input())\\nif N%2==0:\\n    print(N)\\nelse:\\n    print((2*N))\\n\", \"N = int(input())\\n\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print((n*2))\\n\", \"N = int(input())\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n  \\tprint(n * 2)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"from math import gcd\\nprint((n:=int(input()))*2//gcd(2,n))\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"\\nN = int(input())\\n\\nif(N % 2 == 0):\\n    print(N)\\nelse:\\n    print((2 * N))\\n\", \"n = int(input())\\nprint(n if n%2 == 0 else 2*n)\", \"import sys\\nimport math\\n\\nN = int(input())\\n\\nprint(int((N*2)/math.gcd(N, 2)))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"a=int(input())\\nb=2\\nimport math\\nprint(int(a*b/math.gcd(a, b)))\", \"N = int(input())\\nif N % 2 == 0:\\n  ans = N\\nelse:\\n  ans = 2 * N\\n  \\nprint(ans)\", \"n=int(input())\\nprint(n if n%2==0 else n*2)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n=int(input())\\nans=n if n%2==0 else 2*n\\nprint(ans)\", \"N = int(input())\\nprint(N if N % 2 == 0 else 2 * N)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n * 2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"n=input()\\nif int(n)%2==0:\\n  print(n)\\nelse:\\n  print((int(n)*2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((2*n))\\n\", \"N=int(input())\\nif N%2==0:\\n    ans=N\\nelse:\\n    ans=N*2\\nprint(ans)\", \"\\nn=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int (input ())\\nif n%2 == 0:\\n  print (n)\\nelse:\\n  print (n*2)\", \"num = int(input())\\nif(num %2 != 0):\\n  print(num*2)\\nelse:\\n  print(num)\", \"n = int(input())\\nif n%2:\\n  print(2*n)\\nelse:\\n  print(int(2*(n/2)))\", \"#\\n# abc102 a\\n#\\n\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"3\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"6\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"999999999\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"1999999998\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((N*2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"\\nn = int(input())\\n\\nif n % 2 == 0: print(n)\\nelse: print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"import math\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\nn = int(input())\\nprint(lcm(2, n))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"import math\\nN = int(input())\\ndef lcm(a,b):\\n    return int(a*b//math.gcd(a,b))\\nprint(lcm(2,N))\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"n = int(input())\\nprint([n, 2*n][n%2])\", \"from numpy import lcm\\nn = int(input())\\nprint(lcm(2, n))\", \"N = int(input().rstrip())\\nif N&1==1:\\n    print(N*2)\\nelse:\\n    print(N)\", \"\\ndef main():\\n    n = int(input())\\n    if n % 2 == 0:\\n        print(n)\\n    else:\\n        print((2 * n))\\n        \\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(N*2)\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nif (n%2==0):\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"import math\\n\\nn = int(input())\\n\\nprint(2 * n // math.gcd(2, n))\", \"n = int(input())\\n\\nprint((n if n % 2 == 0 else 2 * n))\\n\", \"n = int(input())\\nprint(2*n if n%2 else n)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"a = int(input())\\n\\nif a%2 == 0:\\n    print(a)\\nelse:\\n    print((a*2))\\n\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelif n % 2 != 0:\\n    print(2 * n)\", \"N=int(input())\\nif N%2==0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N * 2)\", \"import math\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = 2 * n // gcd\\nprint(lcm)\\n\", \"N=int(input())\\nif N%2==0 :\\n  print(N)\\nelse :\\n  print(N*2)\", \"a=int(input())\\nprint(a*((a%2)+1))\", \"import math\\nN = int(input())\\nprint((2*N)//math.gcd(2,N))\", \"num = int(input())\\n\\nif num % 2 == 0:\\n    print(num)\\nelse:\\n    print((num * 2))\\n\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"def main():\\n    n = int(input())\\n    print(n if n%2==0 else 2*n)\\n\\n\\nmain()\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> int:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        int: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N = int(input())\\n\\n    return N\\n\\n\\ndef main(N: int) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u6b63\\u6574\\u6570(1 <= N <= 10^9)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    ans = N\\n    if ans % 2 != 0:\\n        ans *= 2\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N)\\n\\n__starting_point()\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n * 2)\", \"import math\\n\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = int(2*n/gcd)\\nans = lcm\\n\\nprint(ans)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"N = int(input())\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"import math\\n\\nN=int(input())\\nprint((2*N//math.gcd(2,N)))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N = int(readline())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((2 * N))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print((N * 2))\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN = int(input())\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nans = N\\nif ans % 2 != 0:\\n    ans *= 2\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"n=int(input())\\nprint(n*(1+n%2))\", \"import sys\\nimport math\\n\\n#https://atcoder.jp/contests/agc008/submissions/15248942\\nsys.setrecursionlimit(10 ** 8)\\nini = lambda: int(sys.stdin.readline())\\ninm = lambda: map(int, sys.stdin.readline().split())\\ninl = lambda: list(inm())\\nins = lambda: sys.stdin.readline().rstrip()\\ndebug = lambda *a, **kw: print(\\\"\\\\033[33m\\\", *a, \\\"\\\\033[0m\\\", **dict(file=sys.stderr, **kw))\\n\\nN = ini()\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"import math\\nn = int(input())\\na = math.gcd(n, 2)  # \\u6700\\u5927\\u516c\\u7d04\\u6570\\nprint(n * 2 // a)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"N = int(input())\\n\\nif N % 2 == 0 :\\n    print(N)\\nelse :\\n    print(2*N)\", \"import math\\na = int(input())\\nprint(a*2//math.gcd(a, 2))\", \"N = int(input())\\n\\nif N % 2 == 0:\\n   print(N)\\nelse:\\n   print(2 * N)\", \"N = int(input())\\nprint(N if N%2 == 0 else N*2)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"#\\nimport sys\\nimport math\\nimport numpy as np\\nimport itertools\\n\\n\\nn = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"import math\\nN=int(input())\\nprint(2*N//math.gcd(2,N))\", \"N = int(input())\\nprint((N if N%2==0 else N*2))\\n\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a * 2)\", \"n=int(input())\\nif n%2:print(2*n)\\nelse:print(n)\", \"N = int(input())\\n\\nfor i in range(2, 10**6):\\n    if N % 2 == 0:\\n        break\\n    N *= i\\n\\nprint(N)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\"]",
        "difficulty": "introductory",
        "input": "999999999\n",
        "output": "1999999998\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc102/tasks/abc102_a"
    },
    {
        "id": 468,
        "task_id": 4297,
        "test_case_id": 4,
        "question": "You are given a positive integer N.\nFind the minimum positive integer divisible by both 2 and N.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the minimum positive integer divisible by both 2 and N.\n\n-----Sample Input-----\n3\n\n-----Sample Output-----\n6\n\n6 is divisible by both 2 and 3.\nAlso, there is no positive integer less than 6 that is divisible by both 2 and 3.\nThus, the answer is 6.",
        "solutions": "[\"n = int(input())\\nprint((n if n%2==0 else n*2))\\n\", \"N =int(input())\\nif N%2==0:\\n    print(N)\\nelse:\\n    print((2*N))\\n\", \"N = int(input())\\n\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print((n*2))\\n\", \"N = int(input())\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n  \\tprint(n * 2)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"from math import gcd\\nprint((n:=int(input()))*2//gcd(2,n))\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"\\nN = int(input())\\n\\nif(N % 2 == 0):\\n    print(N)\\nelse:\\n    print((2 * N))\\n\", \"n = int(input())\\nprint(n if n%2 == 0 else 2*n)\", \"import sys\\nimport math\\n\\nN = int(input())\\n\\nprint(int((N*2)/math.gcd(N, 2)))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"a=int(input())\\nb=2\\nimport math\\nprint(int(a*b/math.gcd(a, b)))\", \"N = int(input())\\nif N % 2 == 0:\\n  ans = N\\nelse:\\n  ans = 2 * N\\n  \\nprint(ans)\", \"n=int(input())\\nprint(n if n%2==0 else n*2)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n=int(input())\\nans=n if n%2==0 else 2*n\\nprint(ans)\", \"N = int(input())\\nprint(N if N % 2 == 0 else 2 * N)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n * 2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"n=input()\\nif int(n)%2==0:\\n  print(n)\\nelse:\\n  print((int(n)*2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((2*n))\\n\", \"N=int(input())\\nif N%2==0:\\n    ans=N\\nelse:\\n    ans=N*2\\nprint(ans)\", \"\\nn=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int (input ())\\nif n%2 == 0:\\n  print (n)\\nelse:\\n  print (n*2)\", \"num = int(input())\\nif(num %2 != 0):\\n  print(num*2)\\nelse:\\n  print(num)\", \"n = int(input())\\nif n%2:\\n  print(2*n)\\nelse:\\n  print(int(2*(n/2)))\", \"#\\n# abc102 a\\n#\\n\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"3\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"6\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"999999999\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"1999999998\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((N*2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"\\nn = int(input())\\n\\nif n % 2 == 0: print(n)\\nelse: print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"import math\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\nn = int(input())\\nprint(lcm(2, n))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"import math\\nN = int(input())\\ndef lcm(a,b):\\n    return int(a*b//math.gcd(a,b))\\nprint(lcm(2,N))\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"n = int(input())\\nprint([n, 2*n][n%2])\", \"from numpy import lcm\\nn = int(input())\\nprint(lcm(2, n))\", \"N = int(input().rstrip())\\nif N&1==1:\\n    print(N*2)\\nelse:\\n    print(N)\", \"\\ndef main():\\n    n = int(input())\\n    if n % 2 == 0:\\n        print(n)\\n    else:\\n        print((2 * n))\\n        \\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(N*2)\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nif (n%2==0):\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"import math\\n\\nn = int(input())\\n\\nprint(2 * n // math.gcd(2, n))\", \"n = int(input())\\n\\nprint((n if n % 2 == 0 else 2 * n))\\n\", \"n = int(input())\\nprint(2*n if n%2 else n)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"a = int(input())\\n\\nif a%2 == 0:\\n    print(a)\\nelse:\\n    print((a*2))\\n\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelif n % 2 != 0:\\n    print(2 * n)\", \"N=int(input())\\nif N%2==0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N * 2)\", \"import math\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = 2 * n // gcd\\nprint(lcm)\\n\", \"N=int(input())\\nif N%2==0 :\\n  print(N)\\nelse :\\n  print(N*2)\", \"a=int(input())\\nprint(a*((a%2)+1))\", \"import math\\nN = int(input())\\nprint((2*N)//math.gcd(2,N))\", \"num = int(input())\\n\\nif num % 2 == 0:\\n    print(num)\\nelse:\\n    print((num * 2))\\n\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"def main():\\n    n = int(input())\\n    print(n if n%2==0 else 2*n)\\n\\n\\nmain()\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> int:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        int: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N = int(input())\\n\\n    return N\\n\\n\\ndef main(N: int) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u6b63\\u6574\\u6570(1 <= N <= 10^9)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    ans = N\\n    if ans % 2 != 0:\\n        ans *= 2\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N)\\n\\n__starting_point()\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n * 2)\", \"import math\\n\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = int(2*n/gcd)\\nans = lcm\\n\\nprint(ans)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"N = int(input())\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"import math\\n\\nN=int(input())\\nprint((2*N//math.gcd(2,N)))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N = int(readline())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((2 * N))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print((N * 2))\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN = int(input())\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nans = N\\nif ans % 2 != 0:\\n    ans *= 2\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"n=int(input())\\nprint(n*(1+n%2))\", \"import sys\\nimport math\\n\\n#https://atcoder.jp/contests/agc008/submissions/15248942\\nsys.setrecursionlimit(10 ** 8)\\nini = lambda: int(sys.stdin.readline())\\ninm = lambda: map(int, sys.stdin.readline().split())\\ninl = lambda: list(inm())\\nins = lambda: sys.stdin.readline().rstrip()\\ndebug = lambda *a, **kw: print(\\\"\\\\033[33m\\\", *a, \\\"\\\\033[0m\\\", **dict(file=sys.stderr, **kw))\\n\\nN = ini()\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"import math\\nn = int(input())\\na = math.gcd(n, 2)  # \\u6700\\u5927\\u516c\\u7d04\\u6570\\nprint(n * 2 // a)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"N = int(input())\\n\\nif N % 2 == 0 :\\n    print(N)\\nelse :\\n    print(2*N)\", \"import math\\na = int(input())\\nprint(a*2//math.gcd(a, 2))\", \"N = int(input())\\n\\nif N % 2 == 0:\\n   print(N)\\nelse:\\n   print(2 * N)\", \"N = int(input())\\nprint(N if N%2 == 0 else N*2)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"#\\nimport sys\\nimport math\\nimport numpy as np\\nimport itertools\\n\\n\\nn = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"import math\\nN=int(input())\\nprint(2*N//math.gcd(2,N))\", \"N = int(input())\\nprint((N if N%2==0 else N*2))\\n\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a * 2)\", \"n=int(input())\\nif n%2:print(2*n)\\nelse:print(n)\", \"N = int(input())\\n\\nfor i in range(2, 10**6):\\n    if N % 2 == 0:\\n        break\\n    N *= i\\n\\nprint(N)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\"]",
        "difficulty": "introductory",
        "input": "1\n",
        "output": "2\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc102/tasks/abc102_a"
    },
    {
        "id": 469,
        "task_id": 4297,
        "test_case_id": 5,
        "question": "You are given a positive integer N.\nFind the minimum positive integer divisible by both 2 and N.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the minimum positive integer divisible by both 2 and N.\n\n-----Sample Input-----\n3\n\n-----Sample Output-----\n6\n\n6 is divisible by both 2 and 3.\nAlso, there is no positive integer less than 6 that is divisible by both 2 and 3.\nThus, the answer is 6.",
        "solutions": "[\"n = int(input())\\nprint((n if n%2==0 else n*2))\\n\", \"N =int(input())\\nif N%2==0:\\n    print(N)\\nelse:\\n    print((2*N))\\n\", \"N = int(input())\\n\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print((n*2))\\n\", \"N = int(input())\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n  \\tprint(n * 2)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"from math import gcd\\nprint((n:=int(input()))*2//gcd(2,n))\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"\\nN = int(input())\\n\\nif(N % 2 == 0):\\n    print(N)\\nelse:\\n    print((2 * N))\\n\", \"n = int(input())\\nprint(n if n%2 == 0 else 2*n)\", \"import sys\\nimport math\\n\\nN = int(input())\\n\\nprint(int((N*2)/math.gcd(N, 2)))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"a=int(input())\\nb=2\\nimport math\\nprint(int(a*b/math.gcd(a, b)))\", \"N = int(input())\\nif N % 2 == 0:\\n  ans = N\\nelse:\\n  ans = 2 * N\\n  \\nprint(ans)\", \"n=int(input())\\nprint(n if n%2==0 else n*2)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n=int(input())\\nans=n if n%2==0 else 2*n\\nprint(ans)\", \"N = int(input())\\nprint(N if N % 2 == 0 else 2 * N)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n * 2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"n=input()\\nif int(n)%2==0:\\n  print(n)\\nelse:\\n  print((int(n)*2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((2*n))\\n\", \"N=int(input())\\nif N%2==0:\\n    ans=N\\nelse:\\n    ans=N*2\\nprint(ans)\", \"\\nn=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int (input ())\\nif n%2 == 0:\\n  print (n)\\nelse:\\n  print (n*2)\", \"num = int(input())\\nif(num %2 != 0):\\n  print(num*2)\\nelse:\\n  print(num)\", \"n = int(input())\\nif n%2:\\n  print(2*n)\\nelse:\\n  print(int(2*(n/2)))\", \"#\\n# abc102 a\\n#\\n\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"3\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"6\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"999999999\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"1999999998\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((N*2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"\\nn = int(input())\\n\\nif n % 2 == 0: print(n)\\nelse: print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"import math\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\nn = int(input())\\nprint(lcm(2, n))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"import math\\nN = int(input())\\ndef lcm(a,b):\\n    return int(a*b//math.gcd(a,b))\\nprint(lcm(2,N))\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"n = int(input())\\nprint([n, 2*n][n%2])\", \"from numpy import lcm\\nn = int(input())\\nprint(lcm(2, n))\", \"N = int(input().rstrip())\\nif N&1==1:\\n    print(N*2)\\nelse:\\n    print(N)\", \"\\ndef main():\\n    n = int(input())\\n    if n % 2 == 0:\\n        print(n)\\n    else:\\n        print((2 * n))\\n        \\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(N*2)\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nif (n%2==0):\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"import math\\n\\nn = int(input())\\n\\nprint(2 * n // math.gcd(2, n))\", \"n = int(input())\\n\\nprint((n if n % 2 == 0 else 2 * n))\\n\", \"n = int(input())\\nprint(2*n if n%2 else n)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"a = int(input())\\n\\nif a%2 == 0:\\n    print(a)\\nelse:\\n    print((a*2))\\n\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelif n % 2 != 0:\\n    print(2 * n)\", \"N=int(input())\\nif N%2==0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N * 2)\", \"import math\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = 2 * n // gcd\\nprint(lcm)\\n\", \"N=int(input())\\nif N%2==0 :\\n  print(N)\\nelse :\\n  print(N*2)\", \"a=int(input())\\nprint(a*((a%2)+1))\", \"import math\\nN = int(input())\\nprint((2*N)//math.gcd(2,N))\", \"num = int(input())\\n\\nif num % 2 == 0:\\n    print(num)\\nelse:\\n    print((num * 2))\\n\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"def main():\\n    n = int(input())\\n    print(n if n%2==0 else 2*n)\\n\\n\\nmain()\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> int:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        int: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N = int(input())\\n\\n    return N\\n\\n\\ndef main(N: int) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u6b63\\u6574\\u6570(1 <= N <= 10^9)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    ans = N\\n    if ans % 2 != 0:\\n        ans *= 2\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N)\\n\\n__starting_point()\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n * 2)\", \"import math\\n\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = int(2*n/gcd)\\nans = lcm\\n\\nprint(ans)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"N = int(input())\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"import math\\n\\nN=int(input())\\nprint((2*N//math.gcd(2,N)))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N = int(readline())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((2 * N))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print((N * 2))\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN = int(input())\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nans = N\\nif ans % 2 != 0:\\n    ans *= 2\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"n=int(input())\\nprint(n*(1+n%2))\", \"import sys\\nimport math\\n\\n#https://atcoder.jp/contests/agc008/submissions/15248942\\nsys.setrecursionlimit(10 ** 8)\\nini = lambda: int(sys.stdin.readline())\\ninm = lambda: map(int, sys.stdin.readline().split())\\ninl = lambda: list(inm())\\nins = lambda: sys.stdin.readline().rstrip()\\ndebug = lambda *a, **kw: print(\\\"\\\\033[33m\\\", *a, \\\"\\\\033[0m\\\", **dict(file=sys.stderr, **kw))\\n\\nN = ini()\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"import math\\nn = int(input())\\na = math.gcd(n, 2)  # \\u6700\\u5927\\u516c\\u7d04\\u6570\\nprint(n * 2 // a)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"N = int(input())\\n\\nif N % 2 == 0 :\\n    print(N)\\nelse :\\n    print(2*N)\", \"import math\\na = int(input())\\nprint(a*2//math.gcd(a, 2))\", \"N = int(input())\\n\\nif N % 2 == 0:\\n   print(N)\\nelse:\\n   print(2 * N)\", \"N = int(input())\\nprint(N if N%2 == 0 else N*2)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"#\\nimport sys\\nimport math\\nimport numpy as np\\nimport itertools\\n\\n\\nn = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"import math\\nN=int(input())\\nprint(2*N//math.gcd(2,N))\", \"N = int(input())\\nprint((N if N%2==0 else N*2))\\n\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a * 2)\", \"n=int(input())\\nif n%2:print(2*n)\\nelse:print(n)\", \"N = int(input())\\n\\nfor i in range(2, 10**6):\\n    if N % 2 == 0:\\n        break\\n    N *= i\\n\\nprint(N)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\"]",
        "difficulty": "introductory",
        "input": "2\n",
        "output": "2\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc102/tasks/abc102_a"
    },
    {
        "id": 470,
        "task_id": 4297,
        "test_case_id": 6,
        "question": "You are given a positive integer N.\nFind the minimum positive integer divisible by both 2 and N.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the minimum positive integer divisible by both 2 and N.\n\n-----Sample Input-----\n3\n\n-----Sample Output-----\n6\n\n6 is divisible by both 2 and 3.\nAlso, there is no positive integer less than 6 that is divisible by both 2 and 3.\nThus, the answer is 6.",
        "solutions": "[\"n = int(input())\\nprint((n if n%2==0 else n*2))\\n\", \"N =int(input())\\nif N%2==0:\\n    print(N)\\nelse:\\n    print((2*N))\\n\", \"N = int(input())\\n\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print((n*2))\\n\", \"N = int(input())\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n  \\tprint(n * 2)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"from math import gcd\\nprint((n:=int(input()))*2//gcd(2,n))\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"\\nN = int(input())\\n\\nif(N % 2 == 0):\\n    print(N)\\nelse:\\n    print((2 * N))\\n\", \"n = int(input())\\nprint(n if n%2 == 0 else 2*n)\", \"import sys\\nimport math\\n\\nN = int(input())\\n\\nprint(int((N*2)/math.gcd(N, 2)))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"a=int(input())\\nb=2\\nimport math\\nprint(int(a*b/math.gcd(a, b)))\", \"N = int(input())\\nif N % 2 == 0:\\n  ans = N\\nelse:\\n  ans = 2 * N\\n  \\nprint(ans)\", \"n=int(input())\\nprint(n if n%2==0 else n*2)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n=int(input())\\nans=n if n%2==0 else 2*n\\nprint(ans)\", \"N = int(input())\\nprint(N if N % 2 == 0 else 2 * N)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n * 2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"n=input()\\nif int(n)%2==0:\\n  print(n)\\nelse:\\n  print((int(n)*2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((2*n))\\n\", \"N=int(input())\\nif N%2==0:\\n    ans=N\\nelse:\\n    ans=N*2\\nprint(ans)\", \"\\nn=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int (input ())\\nif n%2 == 0:\\n  print (n)\\nelse:\\n  print (n*2)\", \"num = int(input())\\nif(num %2 != 0):\\n  print(num*2)\\nelse:\\n  print(num)\", \"n = int(input())\\nif n%2:\\n  print(2*n)\\nelse:\\n  print(int(2*(n/2)))\", \"#\\n# abc102 a\\n#\\n\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"3\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"6\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"999999999\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"1999999998\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((N*2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"\\nn = int(input())\\n\\nif n % 2 == 0: print(n)\\nelse: print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"import math\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\nn = int(input())\\nprint(lcm(2, n))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"import math\\nN = int(input())\\ndef lcm(a,b):\\n    return int(a*b//math.gcd(a,b))\\nprint(lcm(2,N))\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"n = int(input())\\nprint([n, 2*n][n%2])\", \"from numpy import lcm\\nn = int(input())\\nprint(lcm(2, n))\", \"N = int(input().rstrip())\\nif N&1==1:\\n    print(N*2)\\nelse:\\n    print(N)\", \"\\ndef main():\\n    n = int(input())\\n    if n % 2 == 0:\\n        print(n)\\n    else:\\n        print((2 * n))\\n        \\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(N*2)\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nif (n%2==0):\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"import math\\n\\nn = int(input())\\n\\nprint(2 * n // math.gcd(2, n))\", \"n = int(input())\\n\\nprint((n if n % 2 == 0 else 2 * n))\\n\", \"n = int(input())\\nprint(2*n if n%2 else n)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"a = int(input())\\n\\nif a%2 == 0:\\n    print(a)\\nelse:\\n    print((a*2))\\n\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelif n % 2 != 0:\\n    print(2 * n)\", \"N=int(input())\\nif N%2==0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N * 2)\", \"import math\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = 2 * n // gcd\\nprint(lcm)\\n\", \"N=int(input())\\nif N%2==0 :\\n  print(N)\\nelse :\\n  print(N*2)\", \"a=int(input())\\nprint(a*((a%2)+1))\", \"import math\\nN = int(input())\\nprint((2*N)//math.gcd(2,N))\", \"num = int(input())\\n\\nif num % 2 == 0:\\n    print(num)\\nelse:\\n    print((num * 2))\\n\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"def main():\\n    n = int(input())\\n    print(n if n%2==0 else 2*n)\\n\\n\\nmain()\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> int:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        int: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N = int(input())\\n\\n    return N\\n\\n\\ndef main(N: int) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u6b63\\u6574\\u6570(1 <= N <= 10^9)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    ans = N\\n    if ans % 2 != 0:\\n        ans *= 2\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N)\\n\\n__starting_point()\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n * 2)\", \"import math\\n\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = int(2*n/gcd)\\nans = lcm\\n\\nprint(ans)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"N = int(input())\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"import math\\n\\nN=int(input())\\nprint((2*N//math.gcd(2,N)))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N = int(readline())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((2 * N))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print((N * 2))\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN = int(input())\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nans = N\\nif ans % 2 != 0:\\n    ans *= 2\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"n=int(input())\\nprint(n*(1+n%2))\", \"import sys\\nimport math\\n\\n#https://atcoder.jp/contests/agc008/submissions/15248942\\nsys.setrecursionlimit(10 ** 8)\\nini = lambda: int(sys.stdin.readline())\\ninm = lambda: map(int, sys.stdin.readline().split())\\ninl = lambda: list(inm())\\nins = lambda: sys.stdin.readline().rstrip()\\ndebug = lambda *a, **kw: print(\\\"\\\\033[33m\\\", *a, \\\"\\\\033[0m\\\", **dict(file=sys.stderr, **kw))\\n\\nN = ini()\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"import math\\nn = int(input())\\na = math.gcd(n, 2)  # \\u6700\\u5927\\u516c\\u7d04\\u6570\\nprint(n * 2 // a)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"N = int(input())\\n\\nif N % 2 == 0 :\\n    print(N)\\nelse :\\n    print(2*N)\", \"import math\\na = int(input())\\nprint(a*2//math.gcd(a, 2))\", \"N = int(input())\\n\\nif N % 2 == 0:\\n   print(N)\\nelse:\\n   print(2 * N)\", \"N = int(input())\\nprint(N if N%2 == 0 else N*2)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"#\\nimport sys\\nimport math\\nimport numpy as np\\nimport itertools\\n\\n\\nn = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"import math\\nN=int(input())\\nprint(2*N//math.gcd(2,N))\", \"N = int(input())\\nprint((N if N%2==0 else N*2))\\n\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a * 2)\", \"n=int(input())\\nif n%2:print(2*n)\\nelse:print(n)\", \"N = int(input())\\n\\nfor i in range(2, 10**6):\\n    if N % 2 == 0:\\n        break\\n    N *= i\\n\\nprint(N)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\"]",
        "difficulty": "introductory",
        "input": "36426\n",
        "output": "36426\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc102/tasks/abc102_a"
    },
    {
        "id": 471,
        "task_id": 4297,
        "test_case_id": 7,
        "question": "You are given a positive integer N.\nFind the minimum positive integer divisible by both 2 and N.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the minimum positive integer divisible by both 2 and N.\n\n-----Sample Input-----\n3\n\n-----Sample Output-----\n6\n\n6 is divisible by both 2 and 3.\nAlso, there is no positive integer less than 6 that is divisible by both 2 and 3.\nThus, the answer is 6.",
        "solutions": "[\"n = int(input())\\nprint((n if n%2==0 else n*2))\\n\", \"N =int(input())\\nif N%2==0:\\n    print(N)\\nelse:\\n    print((2*N))\\n\", \"N = int(input())\\n\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print((n*2))\\n\", \"N = int(input())\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n  \\tprint(n * 2)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"from math import gcd\\nprint((n:=int(input()))*2//gcd(2,n))\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"\\nN = int(input())\\n\\nif(N % 2 == 0):\\n    print(N)\\nelse:\\n    print((2 * N))\\n\", \"n = int(input())\\nprint(n if n%2 == 0 else 2*n)\", \"import sys\\nimport math\\n\\nN = int(input())\\n\\nprint(int((N*2)/math.gcd(N, 2)))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"a=int(input())\\nb=2\\nimport math\\nprint(int(a*b/math.gcd(a, b)))\", \"N = int(input())\\nif N % 2 == 0:\\n  ans = N\\nelse:\\n  ans = 2 * N\\n  \\nprint(ans)\", \"n=int(input())\\nprint(n if n%2==0 else n*2)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n=int(input())\\nans=n if n%2==0 else 2*n\\nprint(ans)\", \"N = int(input())\\nprint(N if N % 2 == 0 else 2 * N)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n * 2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"n=input()\\nif int(n)%2==0:\\n  print(n)\\nelse:\\n  print((int(n)*2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((2*n))\\n\", \"N=int(input())\\nif N%2==0:\\n    ans=N\\nelse:\\n    ans=N*2\\nprint(ans)\", \"\\nn=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int (input ())\\nif n%2 == 0:\\n  print (n)\\nelse:\\n  print (n*2)\", \"num = int(input())\\nif(num %2 != 0):\\n  print(num*2)\\nelse:\\n  print(num)\", \"n = int(input())\\nif n%2:\\n  print(2*n)\\nelse:\\n  print(int(2*(n/2)))\", \"#\\n# abc102 a\\n#\\n\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"3\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"6\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"999999999\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"1999999998\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((N*2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"\\nn = int(input())\\n\\nif n % 2 == 0: print(n)\\nelse: print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"import math\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\nn = int(input())\\nprint(lcm(2, n))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"import math\\nN = int(input())\\ndef lcm(a,b):\\n    return int(a*b//math.gcd(a,b))\\nprint(lcm(2,N))\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"n = int(input())\\nprint([n, 2*n][n%2])\", \"from numpy import lcm\\nn = int(input())\\nprint(lcm(2, n))\", \"N = int(input().rstrip())\\nif N&1==1:\\n    print(N*2)\\nelse:\\n    print(N)\", \"\\ndef main():\\n    n = int(input())\\n    if n % 2 == 0:\\n        print(n)\\n    else:\\n        print((2 * n))\\n        \\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(N*2)\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nif (n%2==0):\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"import math\\n\\nn = int(input())\\n\\nprint(2 * n // math.gcd(2, n))\", \"n = int(input())\\n\\nprint((n if n % 2 == 0 else 2 * n))\\n\", \"n = int(input())\\nprint(2*n if n%2 else n)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"a = int(input())\\n\\nif a%2 == 0:\\n    print(a)\\nelse:\\n    print((a*2))\\n\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelif n % 2 != 0:\\n    print(2 * n)\", \"N=int(input())\\nif N%2==0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N * 2)\", \"import math\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = 2 * n // gcd\\nprint(lcm)\\n\", \"N=int(input())\\nif N%2==0 :\\n  print(N)\\nelse :\\n  print(N*2)\", \"a=int(input())\\nprint(a*((a%2)+1))\", \"import math\\nN = int(input())\\nprint((2*N)//math.gcd(2,N))\", \"num = int(input())\\n\\nif num % 2 == 0:\\n    print(num)\\nelse:\\n    print((num * 2))\\n\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"def main():\\n    n = int(input())\\n    print(n if n%2==0 else 2*n)\\n\\n\\nmain()\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> int:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        int: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N = int(input())\\n\\n    return N\\n\\n\\ndef main(N: int) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u6b63\\u6574\\u6570(1 <= N <= 10^9)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    ans = N\\n    if ans % 2 != 0:\\n        ans *= 2\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N)\\n\\n__starting_point()\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n * 2)\", \"import math\\n\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = int(2*n/gcd)\\nans = lcm\\n\\nprint(ans)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"N = int(input())\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"import math\\n\\nN=int(input())\\nprint((2*N//math.gcd(2,N)))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N = int(readline())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((2 * N))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print((N * 2))\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN = int(input())\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nans = N\\nif ans % 2 != 0:\\n    ans *= 2\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"n=int(input())\\nprint(n*(1+n%2))\", \"import sys\\nimport math\\n\\n#https://atcoder.jp/contests/agc008/submissions/15248942\\nsys.setrecursionlimit(10 ** 8)\\nini = lambda: int(sys.stdin.readline())\\ninm = lambda: map(int, sys.stdin.readline().split())\\ninl = lambda: list(inm())\\nins = lambda: sys.stdin.readline().rstrip()\\ndebug = lambda *a, **kw: print(\\\"\\\\033[33m\\\", *a, \\\"\\\\033[0m\\\", **dict(file=sys.stderr, **kw))\\n\\nN = ini()\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"import math\\nn = int(input())\\na = math.gcd(n, 2)  # \\u6700\\u5927\\u516c\\u7d04\\u6570\\nprint(n * 2 // a)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"N = int(input())\\n\\nif N % 2 == 0 :\\n    print(N)\\nelse :\\n    print(2*N)\", \"import math\\na = int(input())\\nprint(a*2//math.gcd(a, 2))\", \"N = int(input())\\n\\nif N % 2 == 0:\\n   print(N)\\nelse:\\n   print(2 * N)\", \"N = int(input())\\nprint(N if N%2 == 0 else N*2)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"#\\nimport sys\\nimport math\\nimport numpy as np\\nimport itertools\\n\\n\\nn = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"import math\\nN=int(input())\\nprint(2*N//math.gcd(2,N))\", \"N = int(input())\\nprint((N if N%2==0 else N*2))\\n\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a * 2)\", \"n=int(input())\\nif n%2:print(2*n)\\nelse:print(n)\", \"N = int(input())\\n\\nfor i in range(2, 10**6):\\n    if N % 2 == 0:\\n        break\\n    N *= i\\n\\nprint(N)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\"]",
        "difficulty": "introductory",
        "input": "79445\n",
        "output": "158890\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc102/tasks/abc102_a"
    },
    {
        "id": 472,
        "task_id": 4297,
        "test_case_id": 8,
        "question": "You are given a positive integer N.\nFind the minimum positive integer divisible by both 2 and N.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the minimum positive integer divisible by both 2 and N.\n\n-----Sample Input-----\n3\n\n-----Sample Output-----\n6\n\n6 is divisible by both 2 and 3.\nAlso, there is no positive integer less than 6 that is divisible by both 2 and 3.\nThus, the answer is 6.",
        "solutions": "[\"n = int(input())\\nprint((n if n%2==0 else n*2))\\n\", \"N =int(input())\\nif N%2==0:\\n    print(N)\\nelse:\\n    print((2*N))\\n\", \"N = int(input())\\n\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print((n*2))\\n\", \"N = int(input())\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n  \\tprint(n * 2)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"from math import gcd\\nprint((n:=int(input()))*2//gcd(2,n))\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"\\nN = int(input())\\n\\nif(N % 2 == 0):\\n    print(N)\\nelse:\\n    print((2 * N))\\n\", \"n = int(input())\\nprint(n if n%2 == 0 else 2*n)\", \"import sys\\nimport math\\n\\nN = int(input())\\n\\nprint(int((N*2)/math.gcd(N, 2)))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"a=int(input())\\nb=2\\nimport math\\nprint(int(a*b/math.gcd(a, b)))\", \"N = int(input())\\nif N % 2 == 0:\\n  ans = N\\nelse:\\n  ans = 2 * N\\n  \\nprint(ans)\", \"n=int(input())\\nprint(n if n%2==0 else n*2)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n=int(input())\\nans=n if n%2==0 else 2*n\\nprint(ans)\", \"N = int(input())\\nprint(N if N % 2 == 0 else 2 * N)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n * 2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"n=input()\\nif int(n)%2==0:\\n  print(n)\\nelse:\\n  print((int(n)*2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((2*n))\\n\", \"N=int(input())\\nif N%2==0:\\n    ans=N\\nelse:\\n    ans=N*2\\nprint(ans)\", \"\\nn=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int (input ())\\nif n%2 == 0:\\n  print (n)\\nelse:\\n  print (n*2)\", \"num = int(input())\\nif(num %2 != 0):\\n  print(num*2)\\nelse:\\n  print(num)\", \"n = int(input())\\nif n%2:\\n  print(2*n)\\nelse:\\n  print(int(2*(n/2)))\", \"#\\n# abc102 a\\n#\\n\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"3\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"6\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"999999999\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"1999999998\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((N*2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"\\nn = int(input())\\n\\nif n % 2 == 0: print(n)\\nelse: print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"import math\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\nn = int(input())\\nprint(lcm(2, n))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"import math\\nN = int(input())\\ndef lcm(a,b):\\n    return int(a*b//math.gcd(a,b))\\nprint(lcm(2,N))\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"n = int(input())\\nprint([n, 2*n][n%2])\", \"from numpy import lcm\\nn = int(input())\\nprint(lcm(2, n))\", \"N = int(input().rstrip())\\nif N&1==1:\\n    print(N*2)\\nelse:\\n    print(N)\", \"\\ndef main():\\n    n = int(input())\\n    if n % 2 == 0:\\n        print(n)\\n    else:\\n        print((2 * n))\\n        \\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(N*2)\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nif (n%2==0):\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"import math\\n\\nn = int(input())\\n\\nprint(2 * n // math.gcd(2, n))\", \"n = int(input())\\n\\nprint((n if n % 2 == 0 else 2 * n))\\n\", \"n = int(input())\\nprint(2*n if n%2 else n)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"a = int(input())\\n\\nif a%2 == 0:\\n    print(a)\\nelse:\\n    print((a*2))\\n\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelif n % 2 != 0:\\n    print(2 * n)\", \"N=int(input())\\nif N%2==0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N * 2)\", \"import math\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = 2 * n // gcd\\nprint(lcm)\\n\", \"N=int(input())\\nif N%2==0 :\\n  print(N)\\nelse :\\n  print(N*2)\", \"a=int(input())\\nprint(a*((a%2)+1))\", \"import math\\nN = int(input())\\nprint((2*N)//math.gcd(2,N))\", \"num = int(input())\\n\\nif num % 2 == 0:\\n    print(num)\\nelse:\\n    print((num * 2))\\n\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"def main():\\n    n = int(input())\\n    print(n if n%2==0 else 2*n)\\n\\n\\nmain()\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> int:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        int: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N = int(input())\\n\\n    return N\\n\\n\\ndef main(N: int) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u6b63\\u6574\\u6570(1 <= N <= 10^9)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    ans = N\\n    if ans % 2 != 0:\\n        ans *= 2\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N)\\n\\n__starting_point()\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n * 2)\", \"import math\\n\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = int(2*n/gcd)\\nans = lcm\\n\\nprint(ans)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"N = int(input())\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"import math\\n\\nN=int(input())\\nprint((2*N//math.gcd(2,N)))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N = int(readline())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((2 * N))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print((N * 2))\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN = int(input())\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nans = N\\nif ans % 2 != 0:\\n    ans *= 2\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"n=int(input())\\nprint(n*(1+n%2))\", \"import sys\\nimport math\\n\\n#https://atcoder.jp/contests/agc008/submissions/15248942\\nsys.setrecursionlimit(10 ** 8)\\nini = lambda: int(sys.stdin.readline())\\ninm = lambda: map(int, sys.stdin.readline().split())\\ninl = lambda: list(inm())\\nins = lambda: sys.stdin.readline().rstrip()\\ndebug = lambda *a, **kw: print(\\\"\\\\033[33m\\\", *a, \\\"\\\\033[0m\\\", **dict(file=sys.stderr, **kw))\\n\\nN = ini()\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"import math\\nn = int(input())\\na = math.gcd(n, 2)  # \\u6700\\u5927\\u516c\\u7d04\\u6570\\nprint(n * 2 // a)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"N = int(input())\\n\\nif N % 2 == 0 :\\n    print(N)\\nelse :\\n    print(2*N)\", \"import math\\na = int(input())\\nprint(a*2//math.gcd(a, 2))\", \"N = int(input())\\n\\nif N % 2 == 0:\\n   print(N)\\nelse:\\n   print(2 * N)\", \"N = int(input())\\nprint(N if N%2 == 0 else N*2)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"#\\nimport sys\\nimport math\\nimport numpy as np\\nimport itertools\\n\\n\\nn = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"import math\\nN=int(input())\\nprint(2*N//math.gcd(2,N))\", \"N = int(input())\\nprint((N if N%2==0 else N*2))\\n\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a * 2)\", \"n=int(input())\\nif n%2:print(2*n)\\nelse:print(n)\", \"N = int(input())\\n\\nfor i in range(2, 10**6):\\n    if N % 2 == 0:\\n        break\\n    N *= i\\n\\nprint(N)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\"]",
        "difficulty": "introductory",
        "input": "90081\n",
        "output": "180162\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc102/tasks/abc102_a"
    },
    {
        "id": 473,
        "task_id": 4297,
        "test_case_id": 9,
        "question": "You are given a positive integer N.\nFind the minimum positive integer divisible by both 2 and N.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the minimum positive integer divisible by both 2 and N.\n\n-----Sample Input-----\n3\n\n-----Sample Output-----\n6\n\n6 is divisible by both 2 and 3.\nAlso, there is no positive integer less than 6 that is divisible by both 2 and 3.\nThus, the answer is 6.",
        "solutions": "[\"n = int(input())\\nprint((n if n%2==0 else n*2))\\n\", \"N =int(input())\\nif N%2==0:\\n    print(N)\\nelse:\\n    print((2*N))\\n\", \"N = int(input())\\n\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print((n*2))\\n\", \"N = int(input())\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n  \\tprint(n * 2)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"from math import gcd\\nprint((n:=int(input()))*2//gcd(2,n))\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"\\nN = int(input())\\n\\nif(N % 2 == 0):\\n    print(N)\\nelse:\\n    print((2 * N))\\n\", \"n = int(input())\\nprint(n if n%2 == 0 else 2*n)\", \"import sys\\nimport math\\n\\nN = int(input())\\n\\nprint(int((N*2)/math.gcd(N, 2)))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"a=int(input())\\nb=2\\nimport math\\nprint(int(a*b/math.gcd(a, b)))\", \"N = int(input())\\nif N % 2 == 0:\\n  ans = N\\nelse:\\n  ans = 2 * N\\n  \\nprint(ans)\", \"n=int(input())\\nprint(n if n%2==0 else n*2)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n=int(input())\\nans=n if n%2==0 else 2*n\\nprint(ans)\", \"N = int(input())\\nprint(N if N % 2 == 0 else 2 * N)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n * 2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"n=input()\\nif int(n)%2==0:\\n  print(n)\\nelse:\\n  print((int(n)*2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((2*n))\\n\", \"N=int(input())\\nif N%2==0:\\n    ans=N\\nelse:\\n    ans=N*2\\nprint(ans)\", \"\\nn=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int (input ())\\nif n%2 == 0:\\n  print (n)\\nelse:\\n  print (n*2)\", \"num = int(input())\\nif(num %2 != 0):\\n  print(num*2)\\nelse:\\n  print(num)\", \"n = int(input())\\nif n%2:\\n  print(2*n)\\nelse:\\n  print(int(2*(n/2)))\", \"#\\n# abc102 a\\n#\\n\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"3\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"6\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"999999999\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"1999999998\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((N*2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"\\nn = int(input())\\n\\nif n % 2 == 0: print(n)\\nelse: print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"import math\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\nn = int(input())\\nprint(lcm(2, n))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"import math\\nN = int(input())\\ndef lcm(a,b):\\n    return int(a*b//math.gcd(a,b))\\nprint(lcm(2,N))\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"n = int(input())\\nprint([n, 2*n][n%2])\", \"from numpy import lcm\\nn = int(input())\\nprint(lcm(2, n))\", \"N = int(input().rstrip())\\nif N&1==1:\\n    print(N*2)\\nelse:\\n    print(N)\", \"\\ndef main():\\n    n = int(input())\\n    if n % 2 == 0:\\n        print(n)\\n    else:\\n        print((2 * n))\\n        \\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(N*2)\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nif (n%2==0):\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"import math\\n\\nn = int(input())\\n\\nprint(2 * n // math.gcd(2, n))\", \"n = int(input())\\n\\nprint((n if n % 2 == 0 else 2 * n))\\n\", \"n = int(input())\\nprint(2*n if n%2 else n)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"a = int(input())\\n\\nif a%2 == 0:\\n    print(a)\\nelse:\\n    print((a*2))\\n\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelif n % 2 != 0:\\n    print(2 * n)\", \"N=int(input())\\nif N%2==0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N * 2)\", \"import math\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = 2 * n // gcd\\nprint(lcm)\\n\", \"N=int(input())\\nif N%2==0 :\\n  print(N)\\nelse :\\n  print(N*2)\", \"a=int(input())\\nprint(a*((a%2)+1))\", \"import math\\nN = int(input())\\nprint((2*N)//math.gcd(2,N))\", \"num = int(input())\\n\\nif num % 2 == 0:\\n    print(num)\\nelse:\\n    print((num * 2))\\n\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"def main():\\n    n = int(input())\\n    print(n if n%2==0 else 2*n)\\n\\n\\nmain()\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> int:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        int: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N = int(input())\\n\\n    return N\\n\\n\\ndef main(N: int) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u6b63\\u6574\\u6570(1 <= N <= 10^9)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    ans = N\\n    if ans % 2 != 0:\\n        ans *= 2\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N)\\n\\n__starting_point()\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n * 2)\", \"import math\\n\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = int(2*n/gcd)\\nans = lcm\\n\\nprint(ans)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"N = int(input())\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"import math\\n\\nN=int(input())\\nprint((2*N//math.gcd(2,N)))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N = int(readline())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((2 * N))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print((N * 2))\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN = int(input())\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nans = N\\nif ans % 2 != 0:\\n    ans *= 2\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"n=int(input())\\nprint(n*(1+n%2))\", \"import sys\\nimport math\\n\\n#https://atcoder.jp/contests/agc008/submissions/15248942\\nsys.setrecursionlimit(10 ** 8)\\nini = lambda: int(sys.stdin.readline())\\ninm = lambda: map(int, sys.stdin.readline().split())\\ninl = lambda: list(inm())\\nins = lambda: sys.stdin.readline().rstrip()\\ndebug = lambda *a, **kw: print(\\\"\\\\033[33m\\\", *a, \\\"\\\\033[0m\\\", **dict(file=sys.stderr, **kw))\\n\\nN = ini()\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"import math\\nn = int(input())\\na = math.gcd(n, 2)  # \\u6700\\u5927\\u516c\\u7d04\\u6570\\nprint(n * 2 // a)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"N = int(input())\\n\\nif N % 2 == 0 :\\n    print(N)\\nelse :\\n    print(2*N)\", \"import math\\na = int(input())\\nprint(a*2//math.gcd(a, 2))\", \"N = int(input())\\n\\nif N % 2 == 0:\\n   print(N)\\nelse:\\n   print(2 * N)\", \"N = int(input())\\nprint(N if N%2 == 0 else N*2)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"#\\nimport sys\\nimport math\\nimport numpy as np\\nimport itertools\\n\\n\\nn = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"import math\\nN=int(input())\\nprint(2*N//math.gcd(2,N))\", \"N = int(input())\\nprint((N if N%2==0 else N*2))\\n\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a * 2)\", \"n=int(input())\\nif n%2:print(2*n)\\nelse:print(n)\", \"N = int(input())\\n\\nfor i in range(2, 10**6):\\n    if N % 2 == 0:\\n        break\\n    N *= i\\n\\nprint(N)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\"]",
        "difficulty": "introductory",
        "input": "433933447\n",
        "output": "867866894\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc102/tasks/abc102_a"
    },
    {
        "id": 474,
        "task_id": 4297,
        "test_case_id": 10,
        "question": "You are given a positive integer N.\nFind the minimum positive integer divisible by both 2 and N.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the minimum positive integer divisible by both 2 and N.\n\n-----Sample Input-----\n3\n\n-----Sample Output-----\n6\n\n6 is divisible by both 2 and 3.\nAlso, there is no positive integer less than 6 that is divisible by both 2 and 3.\nThus, the answer is 6.",
        "solutions": "[\"n = int(input())\\nprint((n if n%2==0 else n*2))\\n\", \"N =int(input())\\nif N%2==0:\\n    print(N)\\nelse:\\n    print((2*N))\\n\", \"N = int(input())\\n\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print((n*2))\\n\", \"N = int(input())\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n  \\tprint(n * 2)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"from math import gcd\\nprint((n:=int(input()))*2//gcd(2,n))\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"\\nN = int(input())\\n\\nif(N % 2 == 0):\\n    print(N)\\nelse:\\n    print((2 * N))\\n\", \"n = int(input())\\nprint(n if n%2 == 0 else 2*n)\", \"import sys\\nimport math\\n\\nN = int(input())\\n\\nprint(int((N*2)/math.gcd(N, 2)))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"a=int(input())\\nb=2\\nimport math\\nprint(int(a*b/math.gcd(a, b)))\", \"N = int(input())\\nif N % 2 == 0:\\n  ans = N\\nelse:\\n  ans = 2 * N\\n  \\nprint(ans)\", \"n=int(input())\\nprint(n if n%2==0 else n*2)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n=int(input())\\nans=n if n%2==0 else 2*n\\nprint(ans)\", \"N = int(input())\\nprint(N if N % 2 == 0 else 2 * N)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n * 2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"n=input()\\nif int(n)%2==0:\\n  print(n)\\nelse:\\n  print((int(n)*2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((2*n))\\n\", \"N=int(input())\\nif N%2==0:\\n    ans=N\\nelse:\\n    ans=N*2\\nprint(ans)\", \"\\nn=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int (input ())\\nif n%2 == 0:\\n  print (n)\\nelse:\\n  print (n*2)\", \"num = int(input())\\nif(num %2 != 0):\\n  print(num*2)\\nelse:\\n  print(num)\", \"n = int(input())\\nif n%2:\\n  print(2*n)\\nelse:\\n  print(int(2*(n/2)))\", \"#\\n# abc102 a\\n#\\n\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"3\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"6\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"999999999\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"1999999998\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((N*2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"\\nn = int(input())\\n\\nif n % 2 == 0: print(n)\\nelse: print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"import math\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\nn = int(input())\\nprint(lcm(2, n))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"import math\\nN = int(input())\\ndef lcm(a,b):\\n    return int(a*b//math.gcd(a,b))\\nprint(lcm(2,N))\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"n = int(input())\\nprint([n, 2*n][n%2])\", \"from numpy import lcm\\nn = int(input())\\nprint(lcm(2, n))\", \"N = int(input().rstrip())\\nif N&1==1:\\n    print(N*2)\\nelse:\\n    print(N)\", \"\\ndef main():\\n    n = int(input())\\n    if n % 2 == 0:\\n        print(n)\\n    else:\\n        print((2 * n))\\n        \\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(N*2)\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nif (n%2==0):\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"import math\\n\\nn = int(input())\\n\\nprint(2 * n // math.gcd(2, n))\", \"n = int(input())\\n\\nprint((n if n % 2 == 0 else 2 * n))\\n\", \"n = int(input())\\nprint(2*n if n%2 else n)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"a = int(input())\\n\\nif a%2 == 0:\\n    print(a)\\nelse:\\n    print((a*2))\\n\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelif n % 2 != 0:\\n    print(2 * n)\", \"N=int(input())\\nif N%2==0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N * 2)\", \"import math\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = 2 * n // gcd\\nprint(lcm)\\n\", \"N=int(input())\\nif N%2==0 :\\n  print(N)\\nelse :\\n  print(N*2)\", \"a=int(input())\\nprint(a*((a%2)+1))\", \"import math\\nN = int(input())\\nprint((2*N)//math.gcd(2,N))\", \"num = int(input())\\n\\nif num % 2 == 0:\\n    print(num)\\nelse:\\n    print((num * 2))\\n\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"def main():\\n    n = int(input())\\n    print(n if n%2==0 else 2*n)\\n\\n\\nmain()\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> int:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        int: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N = int(input())\\n\\n    return N\\n\\n\\ndef main(N: int) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u6b63\\u6574\\u6570(1 <= N <= 10^9)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    ans = N\\n    if ans % 2 != 0:\\n        ans *= 2\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N)\\n\\n__starting_point()\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n * 2)\", \"import math\\n\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = int(2*n/gcd)\\nans = lcm\\n\\nprint(ans)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"N = int(input())\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"import math\\n\\nN=int(input())\\nprint((2*N//math.gcd(2,N)))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N = int(readline())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((2 * N))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print((N * 2))\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN = int(input())\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nans = N\\nif ans % 2 != 0:\\n    ans *= 2\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"n=int(input())\\nprint(n*(1+n%2))\", \"import sys\\nimport math\\n\\n#https://atcoder.jp/contests/agc008/submissions/15248942\\nsys.setrecursionlimit(10 ** 8)\\nini = lambda: int(sys.stdin.readline())\\ninm = lambda: map(int, sys.stdin.readline().split())\\ninl = lambda: list(inm())\\nins = lambda: sys.stdin.readline().rstrip()\\ndebug = lambda *a, **kw: print(\\\"\\\\033[33m\\\", *a, \\\"\\\\033[0m\\\", **dict(file=sys.stderr, **kw))\\n\\nN = ini()\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"import math\\nn = int(input())\\na = math.gcd(n, 2)  # \\u6700\\u5927\\u516c\\u7d04\\u6570\\nprint(n * 2 // a)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"N = int(input())\\n\\nif N % 2 == 0 :\\n    print(N)\\nelse :\\n    print(2*N)\", \"import math\\na = int(input())\\nprint(a*2//math.gcd(a, 2))\", \"N = int(input())\\n\\nif N % 2 == 0:\\n   print(N)\\nelse:\\n   print(2 * N)\", \"N = int(input())\\nprint(N if N%2 == 0 else N*2)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"#\\nimport sys\\nimport math\\nimport numpy as np\\nimport itertools\\n\\n\\nn = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"import math\\nN=int(input())\\nprint(2*N//math.gcd(2,N))\", \"N = int(input())\\nprint((N if N%2==0 else N*2))\\n\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a * 2)\", \"n=int(input())\\nif n%2:print(2*n)\\nelse:print(n)\", \"N = int(input())\\n\\nfor i in range(2, 10**6):\\n    if N % 2 == 0:\\n        break\\n    N *= i\\n\\nprint(N)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\"]",
        "difficulty": "introductory",
        "input": "476190629\n",
        "output": "952381258\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc102/tasks/abc102_a"
    },
    {
        "id": 475,
        "task_id": 4297,
        "test_case_id": 11,
        "question": "You are given a positive integer N.\nFind the minimum positive integer divisible by both 2 and N.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the minimum positive integer divisible by both 2 and N.\n\n-----Sample Input-----\n3\n\n-----Sample Output-----\n6\n\n6 is divisible by both 2 and 3.\nAlso, there is no positive integer less than 6 that is divisible by both 2 and 3.\nThus, the answer is 6.",
        "solutions": "[\"n = int(input())\\nprint((n if n%2==0 else n*2))\\n\", \"N =int(input())\\nif N%2==0:\\n    print(N)\\nelse:\\n    print((2*N))\\n\", \"N = int(input())\\n\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print((n*2))\\n\", \"N = int(input())\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n  \\tprint(n * 2)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"from math import gcd\\nprint((n:=int(input()))*2//gcd(2,n))\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"\\nN = int(input())\\n\\nif(N % 2 == 0):\\n    print(N)\\nelse:\\n    print((2 * N))\\n\", \"n = int(input())\\nprint(n if n%2 == 0 else 2*n)\", \"import sys\\nimport math\\n\\nN = int(input())\\n\\nprint(int((N*2)/math.gcd(N, 2)))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"a=int(input())\\nb=2\\nimport math\\nprint(int(a*b/math.gcd(a, b)))\", \"N = int(input())\\nif N % 2 == 0:\\n  ans = N\\nelse:\\n  ans = 2 * N\\n  \\nprint(ans)\", \"n=int(input())\\nprint(n if n%2==0 else n*2)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n=int(input())\\nans=n if n%2==0 else 2*n\\nprint(ans)\", \"N = int(input())\\nprint(N if N % 2 == 0 else 2 * N)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n * 2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"n=input()\\nif int(n)%2==0:\\n  print(n)\\nelse:\\n  print((int(n)*2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((2*n))\\n\", \"N=int(input())\\nif N%2==0:\\n    ans=N\\nelse:\\n    ans=N*2\\nprint(ans)\", \"\\nn=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int (input ())\\nif n%2 == 0:\\n  print (n)\\nelse:\\n  print (n*2)\", \"num = int(input())\\nif(num %2 != 0):\\n  print(num*2)\\nelse:\\n  print(num)\", \"n = int(input())\\nif n%2:\\n  print(2*n)\\nelse:\\n  print(int(2*(n/2)))\", \"#\\n# abc102 a\\n#\\n\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"3\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"6\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"999999999\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"1999999998\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((N*2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"\\nn = int(input())\\n\\nif n % 2 == 0: print(n)\\nelse: print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"import math\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\nn = int(input())\\nprint(lcm(2, n))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"import math\\nN = int(input())\\ndef lcm(a,b):\\n    return int(a*b//math.gcd(a,b))\\nprint(lcm(2,N))\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"n = int(input())\\nprint([n, 2*n][n%2])\", \"from numpy import lcm\\nn = int(input())\\nprint(lcm(2, n))\", \"N = int(input().rstrip())\\nif N&1==1:\\n    print(N*2)\\nelse:\\n    print(N)\", \"\\ndef main():\\n    n = int(input())\\n    if n % 2 == 0:\\n        print(n)\\n    else:\\n        print((2 * n))\\n        \\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(N*2)\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nif (n%2==0):\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"import math\\n\\nn = int(input())\\n\\nprint(2 * n // math.gcd(2, n))\", \"n = int(input())\\n\\nprint((n if n % 2 == 0 else 2 * n))\\n\", \"n = int(input())\\nprint(2*n if n%2 else n)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"a = int(input())\\n\\nif a%2 == 0:\\n    print(a)\\nelse:\\n    print((a*2))\\n\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelif n % 2 != 0:\\n    print(2 * n)\", \"N=int(input())\\nif N%2==0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N * 2)\", \"import math\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = 2 * n // gcd\\nprint(lcm)\\n\", \"N=int(input())\\nif N%2==0 :\\n  print(N)\\nelse :\\n  print(N*2)\", \"a=int(input())\\nprint(a*((a%2)+1))\", \"import math\\nN = int(input())\\nprint((2*N)//math.gcd(2,N))\", \"num = int(input())\\n\\nif num % 2 == 0:\\n    print(num)\\nelse:\\n    print((num * 2))\\n\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"def main():\\n    n = int(input())\\n    print(n if n%2==0 else 2*n)\\n\\n\\nmain()\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> int:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        int: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N = int(input())\\n\\n    return N\\n\\n\\ndef main(N: int) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u6b63\\u6574\\u6570(1 <= N <= 10^9)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    ans = N\\n    if ans % 2 != 0:\\n        ans *= 2\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N)\\n\\n__starting_point()\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n * 2)\", \"import math\\n\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = int(2*n/gcd)\\nans = lcm\\n\\nprint(ans)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"N = int(input())\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"import math\\n\\nN=int(input())\\nprint((2*N//math.gcd(2,N)))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N = int(readline())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((2 * N))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print((N * 2))\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN = int(input())\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nans = N\\nif ans % 2 != 0:\\n    ans *= 2\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"n=int(input())\\nprint(n*(1+n%2))\", \"import sys\\nimport math\\n\\n#https://atcoder.jp/contests/agc008/submissions/15248942\\nsys.setrecursionlimit(10 ** 8)\\nini = lambda: int(sys.stdin.readline())\\ninm = lambda: map(int, sys.stdin.readline().split())\\ninl = lambda: list(inm())\\nins = lambda: sys.stdin.readline().rstrip()\\ndebug = lambda *a, **kw: print(\\\"\\\\033[33m\\\", *a, \\\"\\\\033[0m\\\", **dict(file=sys.stderr, **kw))\\n\\nN = ini()\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"import math\\nn = int(input())\\na = math.gcd(n, 2)  # \\u6700\\u5927\\u516c\\u7d04\\u6570\\nprint(n * 2 // a)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"N = int(input())\\n\\nif N % 2 == 0 :\\n    print(N)\\nelse :\\n    print(2*N)\", \"import math\\na = int(input())\\nprint(a*2//math.gcd(a, 2))\", \"N = int(input())\\n\\nif N % 2 == 0:\\n   print(N)\\nelse:\\n   print(2 * N)\", \"N = int(input())\\nprint(N if N%2 == 0 else N*2)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"#\\nimport sys\\nimport math\\nimport numpy as np\\nimport itertools\\n\\n\\nn = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"import math\\nN=int(input())\\nprint(2*N//math.gcd(2,N))\", \"N = int(input())\\nprint((N if N%2==0 else N*2))\\n\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a * 2)\", \"n=int(input())\\nif n%2:print(2*n)\\nelse:print(n)\", \"N = int(input())\\n\\nfor i in range(2, 10**6):\\n    if N % 2 == 0:\\n        break\\n    N *= i\\n\\nprint(N)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\"]",
        "difficulty": "introductory",
        "input": "262703497\n",
        "output": "525406994\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc102/tasks/abc102_a"
    },
    {
        "id": 476,
        "task_id": 4297,
        "test_case_id": 12,
        "question": "You are given a positive integer N.\nFind the minimum positive integer divisible by both 2 and N.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - All values in input are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the minimum positive integer divisible by both 2 and N.\n\n-----Sample Input-----\n3\n\n-----Sample Output-----\n6\n\n6 is divisible by both 2 and 3.\nAlso, there is no positive integer less than 6 that is divisible by both 2 and 3.\nThus, the answer is 6.",
        "solutions": "[\"n = int(input())\\nprint((n if n%2==0 else n*2))\\n\", \"N =int(input())\\nif N%2==0:\\n    print(N)\\nelse:\\n    print((2*N))\\n\", \"N = int(input())\\n\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print((n*2))\\n\", \"N = int(input())\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n  \\tprint(n * 2)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"from math import gcd\\nprint((n:=int(input()))*2//gcd(2,n))\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"\\nN = int(input())\\n\\nif(N % 2 == 0):\\n    print(N)\\nelse:\\n    print((2 * N))\\n\", \"n = int(input())\\nprint(n if n%2 == 0 else 2*n)\", \"import sys\\nimport math\\n\\nN = int(input())\\n\\nprint(int((N*2)/math.gcd(N, 2)))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"a=int(input())\\nb=2\\nimport math\\nprint(int(a*b/math.gcd(a, b)))\", \"N = int(input())\\nif N % 2 == 0:\\n  ans = N\\nelse:\\n  ans = 2 * N\\n  \\nprint(ans)\", \"n=int(input())\\nprint(n if n%2==0 else n*2)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n=int(input())\\nans=n if n%2==0 else 2*n\\nprint(ans)\", \"N = int(input())\\nprint(N if N % 2 == 0 else 2 * N)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n * 2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"n=input()\\nif int(n)%2==0:\\n  print(n)\\nelse:\\n  print((int(n)*2))\\n\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"n=int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print((2*n))\\n\", \"N=int(input())\\nif N%2==0:\\n    ans=N\\nelse:\\n    ans=N*2\\nprint(ans)\", \"\\nn=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int (input ())\\nif n%2 == 0:\\n  print (n)\\nelse:\\n  print (n*2)\", \"num = int(input())\\nif(num %2 != 0):\\n  print(num*2)\\nelse:\\n  print(num)\", \"n = int(input())\\nif n%2:\\n  print(2*n)\\nelse:\\n  print(int(2*(n/2)))\", \"#\\n# abc102 a\\n#\\n\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"3\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"6\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"999999999\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"1999999998\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((N*2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\nif n%2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"\\nn = int(input())\\n\\nif n % 2 == 0: print(n)\\nelse: print(2*n)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"import math\\ndef lcm(x, y):\\n    return (x * y) // math.gcd(x, y)\\n\\n\\nn = int(input())\\nprint(lcm(2, n))\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2 * n)\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\", \"import math\\nN = int(input())\\ndef lcm(a,b):\\n    return int(a*b//math.gcd(a,b))\\nprint(lcm(2,N))\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"n = int(input())\\nprint([n, 2*n][n%2])\", \"from numpy import lcm\\nn = int(input())\\nprint(lcm(2, n))\", \"N = int(input().rstrip())\\nif N&1==1:\\n    print(N*2)\\nelse:\\n    print(N)\", \"\\ndef main():\\n    n = int(input())\\n    if n % 2 == 0:\\n        print(n)\\n    else:\\n        print((2 * n))\\n        \\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\nif N % 2 == 0:\\n  print(N)\\nelse:\\n  print(N*2)\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nif (n%2==0):\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"import math\\n\\nn = int(input())\\n\\nprint(2 * n // math.gcd(2, n))\", \"n = int(input())\\n\\nprint((n if n % 2 == 0 else 2 * n))\\n\", \"n = int(input())\\nprint(2*n if n%2 else n)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"a = int(input())\\n\\nif a%2 == 0:\\n    print(a)\\nelse:\\n    print((a*2))\\n\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelif n % 2 != 0:\\n    print(2 * n)\", \"N=int(input())\\nif N%2==0:\\n  print(N)\\nelse:\\n  print(2*N)\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N * 2)\", \"import math\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = 2 * n // gcd\\nprint(lcm)\\n\", \"N=int(input())\\nif N%2==0 :\\n  print(N)\\nelse :\\n  print(N*2)\", \"a=int(input())\\nprint(a*((a%2)+1))\", \"import math\\nN = int(input())\\nprint((2*N)//math.gcd(2,N))\", \"num = int(input())\\n\\nif num % 2 == 0:\\n    print(num)\\nelse:\\n    print((num * 2))\\n\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"def main():\\n    n = int(input())\\n    print(n if n%2==0 else 2*n)\\n\\n\\nmain()\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"# -*- coding: utf-8 -*-\\n\\ndef get_input() -> int:\\n    \\\"\\\"\\\"\\n    \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\u3059\\u308b.\\n\\n    Returns:\\\\n\\n        int: \\u6a19\\u6e96\\u5165\\u529b\\n    \\\"\\\"\\\"\\n    N = int(input())\\n\\n    return N\\n\\n\\ndef main(N: int) -> None:\\n    \\\"\\\"\\\"\\n    \\u30e1\\u30a4\\u30f3\\u51e6\\u7406.\\n\\n    Args:\\\\n\\n        N (int): \\u6b63\\u6574\\u6570(1 <= N <= 10^9)\\n    \\\"\\\"\\\"\\n    # \\u6c42\\u89e3\\u51e6\\u7406\\n    ans = N\\n    if ans % 2 != 0:\\n        ans *= 2\\n\\n    # \\u7d50\\u679c\\u51fa\\u529b\\n    print(ans)\\n\\n\\ndef __starting_point():\\n    # \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\n    N = get_input()\\n\\n    # \\u30e1\\u30a4\\u30f3\\u51e6\\u7406\\n    main(N)\\n\\n__starting_point()\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(2*n)\", \"a=int(input())\\nif a%2==0:\\n  print(a)\\nelse:\\n  print(a*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n * 2)\", \"import math\\n\\nn = int(input())\\ngcd = math.gcd(2, n)\\nlcm = int(2*n/gcd)\\nans = lcm\\n\\nprint(ans)\", \"n = int(input())\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(2*n)\", \"N = int(input())\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"n = int(input())\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n * 2)\", \"import math\\n\\nN=int(input())\\nprint((2*N//math.gcd(2,N)))\\n\", \"import sys\\n\\nread = sys.stdin.read\\nreadline = sys.stdin.readline\\nreadlines = sys.stdin.readlines\\nsys.setrecursionlimit(10 ** 9)\\nINF = 1 << 60\\nMOD = 1000000007\\n\\n\\ndef main():\\n    N = int(readline())\\n\\n    if N % 2 == 0:\\n        print(N)\\n    else:\\n        print((2 * N))\\n\\n    return\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"N = int(input())\\n\\nif N % 2 == 0:\\n    print(N)\\nelse:\\n    print((N * 2))\\n\", \"# -*- coding: utf-8 -*-\\n# \\u6a19\\u6e96\\u5165\\u529b\\u3092\\u53d6\\u5f97\\nN = int(input())\\n\\n# \\u6c42\\u89e3\\u51e6\\u7406\\nans = N\\nif ans % 2 != 0:\\n    ans *= 2\\n\\n# \\u7d50\\u679c\\u51fa\\u529b\\nprint(ans)\\n\", \"n=int(input())\\nprint(n*(1+n%2))\", \"import sys\\nimport math\\n\\n#https://atcoder.jp/contests/agc008/submissions/15248942\\nsys.setrecursionlimit(10 ** 8)\\nini = lambda: int(sys.stdin.readline())\\ninm = lambda: map(int, sys.stdin.readline().split())\\ninl = lambda: list(inm())\\nins = lambda: sys.stdin.readline().rstrip()\\ndebug = lambda *a, **kw: print(\\\"\\\\033[33m\\\", *a, \\\"\\\\033[0m\\\", **dict(file=sys.stderr, **kw))\\n\\nN = ini()\\n\\nif N%2 == 0:\\n    print(N)\\nelse:\\n    print(N*2)\", \"import math\\nn = int(input())\\na = math.gcd(n, 2)  # \\u6700\\u5927\\u516c\\u7d04\\u6570\\nprint(n * 2 // a)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"N = int(input())\\n\\nif N % 2 == 0 :\\n    print(N)\\nelse :\\n    print(2*N)\", \"import math\\na = int(input())\\nprint(a*2//math.gcd(a, 2))\", \"N = int(input())\\n\\nif N % 2 == 0:\\n   print(N)\\nelse:\\n   print(2 * N)\", \"N = int(input())\\nprint(N if N%2 == 0 else N*2)\", \"n=int(input())\\nprint(n if n%2==0 else 2*n)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"#\\nimport sys\\nimport math\\nimport numpy as np\\nimport itertools\\n\\n\\nn = int(input())\\n\\nif n % 2 == 0:\\n    print(n)\\nelse:\\n    print((n*2))\\n\\n\\n\", \"n=int(input())\\nif n%2==0:\\n    print(n)\\nelse:\\n    print(n*2)\", \"n = int(input())\\n\\nif n % 2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"import math\\nN=int(input())\\nprint(2*N//math.gcd(2,N))\", \"N = int(input())\\nprint((N if N%2==0 else N*2))\\n\", \"n = int(input())\\nprint(n if n % 2 == 0 else n * 2)\", \"a = int(input())\\nif a % 2 == 0:\\n  print(a)\\nelse:\\n  print(a * 2)\", \"n=int(input())\\nif n%2:print(2*n)\\nelse:print(n)\", \"N = int(input())\\n\\nfor i in range(2, 10**6):\\n    if N % 2 == 0:\\n        break\\n    N *= i\\n\\nprint(N)\", \"n = int(input())\\nif n%2 == 0:\\n  print(n)\\nelse:\\n  print(n*2)\", \"n = int(input())\\nif n%2==0:\\n  print(n)\\nelse:\\n  print(2*n)\"]",
        "difficulty": "introductory",
        "input": "1000000000\n",
        "output": "1000000000\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc102/tasks/abc102_a"
    },
    {
        "id": 477,
        "task_id": 4311,
        "test_case_id": 1,
        "question": "A sequence a=\\{a_1,a_2,a_3,......\\} is determined as follows:\n - The first term s is given as input.\n - Let f(n) be the following function: f(n) = n/2 if n is even, and f(n) = 3n+1 if n is odd.\n - a_i = s when i = 1, and a_i = f(a_{i-1}) when i > 1.\nFind the minimum integer m that satisfies the following condition:\n - There exists an integer n such that a_m = a_n (m > n).\n\n-----Constraints-----\n - 1 \\leq s \\leq 100\n - All values in input are integers.\n - It is guaranteed that all elements in a and the minimum m that satisfies the condition are at most 1000000.\n\n-----Input-----\nInput is given from Standard Input in the following format:\ns\n\n-----Output-----\nPrint the minimum integer m that satisfies the condition.\n\n-----Sample Input-----\n8\n\n-----Sample Output-----\n5\n\na=\\{8,4,2,1,4,2,1,4,2,1,......\\}. As a_5=a_2, the answer is 5.",
        "solutions": "[\"from collections import defaultdict\\n\\nd = defaultdict(bool)\\n\\nn = int(input())\\nfor i in range(1000000):\\n\\n    if d[n]:\\n        print((i + 1))\\n        return\\n    d[n] = True\\n    if n & 1:\\n        n = n * 3 + 1\\n    else:\\n        n >>= 1\\n\", \"a=int(input())\\nb=[]\\nb.append(a)\\nwhile True:\\n    if a%2==0:\\n        a=a/2\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\\n    elif a%2!=0:\\n        a=3*a+1\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\", \"s = int(input())\\na = s\\nc = 0\\nif a == 1 or a == 2:\\n  ans = 4\\nelse:\\n  while a != 1:\\n    if a%2 == 0:\\n      a = int(a/2)\\n      c += 1\\n    else:\\n      a = int(3*a+1)\\n      c += 1\\n  ans = c+2\\nprint(ans)\", \"s = int(input())\\nans = [0]*1000001\\ncnt = 1\\n\\nwhile True:\\n    if ans[s] == 0:\\n        ans[s] += 1\\n\\n        if s%2 == 0:\\n            s = s//2\\n        else:\\n            s = 3*s+1\\n        cnt += 1\\n\\n    if ans[s] != 0:\\n        print(cnt)\\n        return\\n\\n\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n\\nprint(i)\", \"n=int(input())\\nli = []\\nwhile not n in li:\\n  li.append(n)\\n  if n % 2 == 0:\\n    n //= 2\\n  else:\\n    n = n * 3 + 1\\n  \\nprint(len(li)+1)\", \"s = int(input())\\n\\nlst = [s]\\nprev = s\\nfor m in range(2, 1000001):\\n    if prev % 2 == 0:\\n        i = int(prev / 2)\\n    else:\\n        i = 3 * prev + 1\\n    if i in lst:\\n        print(m)\\n        break\\n    lst.append(i)\\n    prev = i\", \"s = int(input())\\na = [s]\\nwhile True:\\n  if a.count(a[-1]) == 2:\\n    print(len(a))\\n    return\\n  if a[-1]%2 == 0:\\n    a.append(a[-1]/2)\\n  else:\\n    a.append(3*a[-1]+1)\", \"n = int(input())\\nc = 0\\nx = []\\nwhile True:\\n    c+=1\\n    if n in x:\\n        print(c)\\n        break\\n    x.append(n)\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\", \"n=int(input())\\na=[n]\\ncnt=1\\nwhile len(set(a))==len(a):\\n    if n%2==0: \\n        n//=2\\n    else:\\n        n=3*n+1\\n    a.append(n)\\n    cnt+=1\\nprint(cnt)\\n\", \"s=int(input())\\na=[0]*10**6\\na[0]=s\\n\\ndef f(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x+1\\nt=0 \\nwhile f(a[t])>0:\\n  p=f(a[t])\\n  if p in a:\\n    print((t+2))\\n    return\\n  a[t+1]=p\\n  t+=1\\n\", \"def func(n: int) -> int:\\n    return n // 2 if n % 2 == 0 else n * 3 + 1\\n\\n\\ndef answer(s: int) -> int:\\n    sequence_a = [s]\\n    while True:\\n        num = func(sequence_a[-1])\\n        if num in sequence_a:\\n            return len(sequence_a) + 1\\n        sequence_a.append(num)\\n\\n\\ndef main():\\n    s = int(input())\\n    print((answer(s)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\ndef f(n):\\n    if n % 2 == 0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\ns = k()\\nnum.append(s)\\nwhile True:\\n    cnt += 1\\n    s = f(s)\\n    if s in num:\\n        print((cnt+1))\\n        return\\n    else:\\n        num.append(s)\\n        \\n\\n\\n\", \"s = int(input())\\nTMP = [s]\\n\\nif s==1 or s==2:\\n    print(4)\\nelse:\\n    while TMP[-1]!=1:\\n        if TMP[-1] % 2 == 0:\\n            TMP.append(TMP[-1]//2)\\n        elif TMP[-1] % 2 != 0:\\n            TMP.append(3 * TMP[-1] + 1)\\n    print(len(TMP)+1)\", \"s = int(input())\\nl = []\\ndef myfunc(x):\\n  if x%2 == 0:\\n    x = x//2\\n  else:\\n    x = 3*x + 1\\n  return x\\nfor i in range(10**6):\\n  l.append(s)\\n  s = myfunc(s)\\n  if s in l:\\n    print(i+2)\\n    break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    # \\u524d\\u56de\\u306e\\u5024\\u306b\\u3088\\u3063\\u3066\\u8a08\\u7b97\\u3092\\u5909\\u3048\\u308b\\u3002\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    # \\u6570\\u5217\\u306b\\u540c\\u3058\\u5024\\u304c\\u542b\\u307e\\u308c\\u3066\\u3044\\u308b\\u304b\\u3069\\u3046\\u304b\\uff1f\\n    if n in a:\\n\\t  \\t# \\u914d\\u5217\\u304c0\\u304b\\u3089\\u59cb\\u307e\\u308b\\u305f\\u3081\\u3001\\u30ab\\u30a6\\u30f3\\u30c8\\u30a2\\u30c3\\u30d7\\u3002\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s=int(input())\\ncol=[]\\na=s\\ncount=1\\nwhile True:\\n  col.append(a) \\n  if a%2==0:\\n    a=a/2\\n  else:\\n    a=a*3+1\\n  if a in col:\\n    print(count+1)\\n    break\\n  count+=1\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = []\\nans.append(s)\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"def main():\\n    def f(n):\\n        return 3 * n + 1 if n % 2 else n // 2\\n    s = int(input())\\n    a = [s]\\n    for i in range(1, 11**6):\\n        x = f(a[i-1])\\n        if x in a:\\n            return len(a) + 1; return\\n        a.append(x)\\n\\n\\nprint(main())\", \"s=int(input())\\na=[]\\nans=1\\nwhile True:\\n  a.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  ans+=1\\n  if s in a:\\n    print(ans)\\n    break\", \"s = int(input())\\nli = []\\nli.append(s)\\n\\nfor i in range(1,1000000000):\\n    if li[i-1] % 2 == 0:\\n        li.append(li[i-1]//2)\\n    else:\\n        li.append(li[i-1]*3+1)\\n\\n    for j in range(len(li)-1):\\n        if li[j] ==li[i]:\\n            print((i+1))\\n            return\\n\", \"s = int(input())\\na = [s]\\nb = 1\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = 3 * s + 1\\n    if s in a:\\n        print(len(a) + 1)\\n        return\\n    a.append(s)\", \"s = int(input())\\nL = []\\nfor c in range(2 , 10 ** 6 + 1):\\n  L.append(s)\\n  if s % 2 == 0:\\n    s = s // 2\\n  elif s % 2 == 1:\\n    s = s * 3 + 1\\n  if s in L:\\n    break\\nprint(c)\", \"s = int(input())\\n\\nif s == 1 or s == 2:\\n    print(4)\\n    return\\n\\ndef function(n):\\n    if n % 2 == 0:\\n        return int(n/2)\\n    else:\\n        return int(n*3+1)\\ni = 0\\ncount = 0\\na = []\\na.append(s)\\nwhile count < 2:\\n    a.append(function(a[i]))\\n    if a[i] == 4:\\n        count += 1\\n    i += 1\\nprint(i)\", \"n=int(input())\\nl=[n]\\nwhile True:\\n    if n%2==0:\\n        n//=2\\n    else:\\n        n=n*3+1\\n    if n in l:\\n        break\\n    else:\\n        l.append(n)\\nprint((len(l)+1))\\n\", \"s = int(input())\\nlist_a = [None]\\nlist_a.append(s)\\nans = 0\\nfor i in range(1, 10 ** 6 + 1):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] // 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n    if list_a[i] in list_a[:i]:\\n        ans = i\\n        break\\nprint(ans)\", \"s = int(input())\\nS = [str(s)]\\ni = 1\\nwhile True:\\n    if s % 2 == 0:\\n        i += 1\\n        s = s//2\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\n    else:\\n        i += 1\\n        s = int(3 * s + 1)\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\npass\\n\", \"import sys\\nimport copy\\ns = int(input())\\n\\ndef f(n):\\n    if n%2==0:\\n        return int(n/2)\\n    else:\\n        return 3*n+1\\n\\nfor i in range(1000000):\\n    if i == 0:\\n        a=[s]\\n    else:\\n        a.append(f(a[i-1]))\\n    \\n    if a.count(a[i]) == 2:\\n        print((i+1))\\n        return\\n\", \"# import math\\n# import statistics\\na=int(input())\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\n# e1,e2 = map(int,input().split())\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\n\\nda=True\\nap=[a]\\ncount=1\\nwhile da:\\n    if a%2==0:\\n        a=a//2\\n        ap.append(a)\\n    elif a%2==1:\\n        a=3*a+1\\n        ap.append(a)\\n    count+=1\\n    if len(set(ap))<len(ap):\\n        print(count)\\n        da=False\\n\", \"a = int(input())\\n \\ndic = {}\\ndic[a] = 1\\n\\ni = 1\\nwhile True:\\n  i += 1\\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n    \\n  if a in dic: break\\n  dic[a] = 1\\n  \\nprint(i)\", \"s = int(input())\\n\\nif s < 3:\\n  print(4)\\n  return\\n\\ncnt = 1\\nval = s\\nwhile True:\\n  if cnt > 1 and val == 1:\\n    break\\n  \\n  if val % 2 == 0:\\n    val = val//2\\n  else:\\n    val = val*3+1\\n    \\n  cnt += 1\\n             \\nprint(cnt+1)\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = [s]\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"n = int(input())\\na = [n]\\nindex = 0\\n\\nfor i in range(1, 1000000):\\n    if a[i - 1] % 2 == 0:\\n        m = a[i - 1] / 2\\n    else:\\n        m = 3 * a[i - 1] + 1\\n    if m in a:\\n        index = i + 1\\n        break\\n    a.append(m)\\nprint(index)\", \"s = int(input())\\n\\nmax_ = 1000000\\nchk = [0]*max_\\na = s\\ni = 1\\nwhile i <= max_:\\n    if chk[a] == 0:\\n        chk[a] += 1\\n    else:\\n        print(i)\\n        return\\n    if a%2 == 0:\\n        a = int(a/2)\\n    else:\\n        a = 3*a + 1\\n    i += 1\\n\", \"s = int(input())\\n\\nA = [s]\\nidx = 1\\nwhile True:\\n    n = A[idx-1]\\n    if n % 2:\\n        f = 3*n + 1\\n    else:\\n        f = n / 2\\n    idx += 1\\n    A.append(f)\\n    if len(A) != len(set(A)):\\n        break\\nprint(idx)\", \"s = int(input())\\n\\ncount = 1\\nn = s\\ncheck = 0\\nlist = [s]\\n\\n\\nfor i in range(30000):\\n        if n % 2 == 0:\\n            n = n / 2\\n            list.append(n)\\n        else:\\n            n = n*3 + 1\\n            list.append(n)\\n        \\n        count = count + 1\\n        list.sort()\\n        for j in range(len(list) - 1):\\n            if list[j] ==list[j+1]:\\n                check = 1\\n                break\\n            \\n        if check == 1:\\n            break\\n        \\n\\n\\nprint(count)\\n\\n\", \"S = int(input())\\ns, c = S, 1\\nresult = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    elif s % 2 == 1:\\n        s = s * 3 + 1\\n\\n    result.append(s)\\n    c += 1\\n    if len(set(result)) < len(result):\\n        break\\n\\nprint(c)\", \"#-*-coding:utf-8-*-\\nimport sys\\ninput=sys.stdin.readline\\n\\ndef func(n):\\n    ans =0\\n    if n%2==0:\\n        ans=n//2\\n    else:\\n        ans=3*n+1\\n    return ans\\n\\ndef main():\\n    s = int(input())\\n    dp=[s]\\n    counter=0\\n\\n    if s==1 or s==2:\\n        print(4)\\n        return\\n\\n    while counter < 1000001:\\n        n=dp.pop()\\n        tmp = func(n)\\n        dp.append(n)\\n        dp.append(tmp)\\n        counter+=1\\n        if tmp==4:\\n            print(dp.index(tmp)+4)\\n            break\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\nS = int(input())\\n\\na = [S]\\ncnt = 1\\nwhile True:\\n    if S%2 == 0:\\n        S /= 2\\n    else:\\n        S = 3*S + 1\\n    cnt += 1\\n    if S in a:\\n        break\\n    else:\\n        a.append(S)\\n\\nprint(cnt)\", \"s = int(input())\\n\\nnum_lists = [s]\\ncnt = 1\\nwhile True:\\n    if (num_lists[-1])%2 == 0:\\n        tmp = num_lists[-1]/2\\n    else:\\n        tmp =(num_lists[-1]*3)+1\\n    cnt += 1\\n    if tmp in num_lists:\\n        ans = cnt\\n        break\\n    else:\\n        num_lists.append(tmp)\\n\\nprint(ans)\", \"import sys\\ns=int(input())\\n\\ncnt=0\\n\\nif s==1 or s==2:\\n  print('4')\\n  return\\n\\nwhile s!=4:\\n  if s%2!=0:\\n    s=3*s+1\\n    cnt+=1\\n  elif s%2==0:\\n    s=s//2\\n    cnt+=1\\n\\nif s==4:\\n  print(cnt+4)\", \"s=int(input())\\na=[]\\nna=[]\\na.append(s)\\nfor i in range(1,10**6):\\n    if a[i-1]%2==0:\\n        a.append(a[i-1]/2)\\n    else:\\n        a.append(a[i-1]*3+1)\\n    na=set(a)\\n    if len(na)!=i+1:\\n        print(i+1)\\n        return\", \"s = int(input())\\n\\na = []\\na.append(s)\\nfor i in range(1000000):\\n  if a[i]%2 == 0:\\n    a.append(a[i] // 2)\\n  else:\\n    a.append(3*a[i] + 1)\\n  for j in range(i-1):\\n    if a[i+1] == a[j]:\\n      print(len(a))\\n      return\", \"s = int(input())\\ndef p(n):\\n    if n%2 ==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\nl = [s]\\ncnt = 1\\nwhile True:\\n    cnt +=1\\n    s = p(s)\\n    if s in l:\\n        print(cnt)\\n        return\\n    else:\\n        l.append(s)\", \"s = int (input ())\\nl = []\\na = 0\\nl.append (s)\\nfor i in range (1000000):\\n  a += 1\\n  if s%2 == 0:\\n    s = round(s/2)\\n  else:\\n    s = s*3+1\\n  if l.count (s) != 0:\\n    print (a+1)\\n    break\\n  else:\\n    l.append (s)\", \"s = int(input())\\n\\n\\nclass Solution:\\n    def __init__(self,s):\\n        self.s = s\\n    \\n    def function_a(self):\\n        if self.s % 2 == 0:\\n            return self.s / 2\\n        else:\\n            return 3 * self.s + 1\\n    \\n    def answer(self):\\n        list_a = [self.s]\\n        self.s = self.function_a()\\n        ans = 2\\n        while self.s not in list_a:\\n            list_a.append(self.s)\\n            self.s = self.function_a()\\n            ans += 1\\n        print(ans)\\n\\n\\nconditon = Solution(s)\\nconditon.answer()\", \"S = int(input())\\nl = []\\n\\nwhile S not in l:\\n    l.append(S)\\n    if S%2 == 0:\\n        S //=2\\n    else:\\n        S = 3*S + 1\\nprint((len(l)+1))\\n\", \"s = int(input())\\nS = {s}\\ni = 1\\nwhile True:\\n  i += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    break\\n  S.add(s)\\nprint(i)\", \"s = int(input())\\n\\nbox = set()\\nbox.add(s)\\n\\nfor i in range(2, 1000000):\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = s * 3 + 1\\n  if s in box:\\n    print(i)\\n    return\\n  else:\\n    box.add(s)\\n\", \"s = int(input())\\n\\ndef collatz(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\ncoll = s\\ni = 1\\nwhile 1:\\n    if coll == 1 or coll == 2 or coll == 4:\\n        print(i  + 3)\\n        break\\n    coll = collatz(coll)\\n    i += 1\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n  \\nprint(i)\", \"S=int(input())\\n\\na=[S]\\ntemp=S\\n\\ni=0\\n\\nwhile i<200:\\n\\ti+=1\\n\\tif temp%2==0:\\n\\t\\ta.append(temp//2)\\n\\telse:\\n\\t\\ta.append(temp*3+1)\\n\\ttemp=a[-1]\\n\\nfor n in range(200):\\n\\tfor m in range(n+1,200):\\n\\t\\tif a[n]==a[m]:\\n\\t\\t\\tprint(m+1)\\n\\t\\t\\treturn\", \"s=int(input())\\n\\na_list=[s]\\n\\n\\na=s\\nwhile True:\\n    \\n    if a%2==0:\\n        a=a//2\\n    else:\\n        a=3*a+1\\n    \\n    if a in a_list:\\n        break\\n    else:\\n        a_list.append(a)\\n\\nans=len(a_list)+1\\n\\nprint(ans)\", \"s = int(input())\\na = [s]\\n\\ndef func(n):\\n  if n % 2 == 0:\\n    a.append(n//2)\\n  elif n % 2 == 1:\\n    a.append(3*n + 1)\\n  \\ni = 1\\nwhile True:\\n  func(a[-1])\\n  i += 1\\n  if a.count(a[-1]) == 2:\\n    break\\n  else:\\n    pass\\n\\n\\nprint(i)\", \"def f(n):\\n    if n % 2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\n\\ns = int(input())\\ncnt = 0\\na = [s]\\nwhile True:\\n\\n    temp = f(a[cnt])\\n\\n    if temp in a:\\n        print((len(a)+1))\\n        return\\n    a.append(temp)\\n    cnt += 1\\n\", \"s = int(input())\\n\\ndef f(x):\\n    if x%2 == 0:\\n        return int(x/2)\\n    else:\\n        return 3*x + 1\\ni = 1\\nm_max = 1000000\\nb_s = s\\nb = set([s])\\nwhile i <= m_max:\\n    i += 1\\n    a = f(b_s)\\n    if a in b:\\n        break\\n    b.add(a)\\n    b_s = a\\nprint(i)\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"s = int(input())\\na = [s]\\nans = 0\\nfor i in range(1000000):\\n    if a[i] % 2 == 0:\\n        if a[i]/2 in a:\\n            ans = i + 2\\n            break\\n        a.append(a[i]/2)\\n    else:\\n        if 3*a[i] + 1 in a:\\n            ans = i + 2\\n            break\\n        a.append(3*a[i] + 1)\\nprint(ans)\", \"n = int(input())\\nc = 1\\nx = []\\nx.append(n)\\nwhile True:\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\\n    c+=1\\n    if n in x:\\n        break\\n    x.append(n)\\nprint(c)\", \"import sys\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    S = int(input())\\n\\n    x = set()\\n    x.add(S)\\n\\n    i = 1\\n    prev = S\\n    while True:\\n        i += 1\\n        if prev % 2 == 0:\\n            prev = prev // 2\\n        else:\\n            prev = prev * 3 + 1\\n\\n        if prev in x:\\n            print(i)\\n            return\\n\\n        x.add(prev)\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"s = int(input())\\narr = []\\nans = 0\\ndef calc(n, cnt):\\n    arr.append(n)\\n\\n    if cnt >= 1000000:\\n        return n\\n\\n    if n % 2 == 0:\\n        n = int(n / 2)\\n    else:\\n        n = int(3 * n + 1)\\n\\n    if n in arr:\\n        return cnt\\n\\n    cnt += 1\\n    calc(n, cnt)\\ncalc(s, 0)\\nprint((len(arr) + 1))\\n\", \"def func(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x + 1\\nA = [True for i in range(1000001)]\\nN = int(input())\\ncount = 1\\nwhile A[N]:\\n  A[N] = False\\n  N = func(N)\\n  count += 1\\nprint(count)\", \"a = [int(input())]\\n\\ni = 0\\nwhile True:\\n    if a[i]%2 == 0:\\n        a.append(int(a[i]/2))\\n    else:\\n        a.append(int((3*a[i])+1))\\n    if a.count(a[i]) == 2:\\n        break\\n    i += 1\\n\\nprint(i+1)\", \"s = int(input())\\nlist_a = [s]\\n\\nif s % 2 == 0:\\n    s = s / 2\\nelse:\\n    s = 3 * s + 1\\n    \\ncurrent = 2\\nwhile s not in list_a:\\n    list_a.append(s)\\n    if s % 2 == 0:\\n        s = s / 2\\n    else:\\n        s = 3 * s + 1\\n    current += 1\\n\\nprint(current)\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"s=int(input())\\n\\nans=1\\ns_st=set()\\nwhile s not in s_st:\\n  s_st.add(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=3*s+1\\n  ans+=1\\n\\nprint(ans)\", \"import sys\\ns = int(input())\\nf = [0 for _ in range(1000005)]\\nf[s] = 1\\nn = s\\nfor i in range(1000005):\\n  if(n%2==0):\\n    n = int(n/2)\\n  else:\\n    n = int(3*n + 1)\\n  if(f[n] == 1):\\n    print(i+2)\\n    return\\n  else:\\n    f[n] = 1\", \"s = int(input())\\n\\nsec = [s]\\ncount = 1\\nwhile(s):\\n  if sec[-1]%2 == 0:\\n    sec.append(sec[-1]/2)\\n  else:\\n    sec.append(3*sec[-1]+1)\\n  count+=1\\n    \\n  if sec[-1] in sec[:-1]:\\n    print(count)\\n    break\", \"s = int(input())\\nline = [0 for i in range(1000001)]\\nans = 1\\nline[s] += 1\\nwhile True:\\n  ans += 1\\n  if s % 2 == 0:\\n    s = int(s/2)\\n  else:\\n    s = 3*s + 1\\n  line[s] += 1\\n  if line[s] > 1:\\n    break\\nprint(ans)\", \"a = int(input())\\nl = [a]\\nfor i in range(1000000):\\n  if a % 2 == 0:\\n    a = a//2\\n  else:\\n    a = a*3 + 1\\n  if l.count(a)==2:\\n    print((1+max([i for i, x in enumerate(l) if x == a])))\\n    break\\n  else:\\n    l.append(a)\\n\", \"s = int(input())\\na = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = s * 3 + 1\\n    a.append(s)\\n    if a.count(s) == 2:\\n        print(len(a))\\n        break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    if n in a:\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s = int(input())\\na = [s]\\ni = 1\\nwhile True:\\n  if s % 2 == 0:\\n    s = s // 2\\n  else:\\n    s = 3 * s + 1\\n  if s in a:\\n    print(len(a) + 1)\\n    break\\n  a.append(s)\", \"s=int(input())\\ncnt = 1\\nS = [s]\\nwhile(1):\\n  cnt += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    print(cnt)\\n    break\\n  S.append(s)\\n\", \"def readinput():\\n    s=int(input())\\n    return s\\n\\ndef main(s):\\n    hist=[0]*1000001\\n    i=1\\n    n=s\\n    hist[n]+=1\\n    while hist[n]<=1:\\n        if n%2==0:\\n            n=n//2\\n        else:\\n            n=3*n+1\\n        i+=1\\n        hist[n]+=1\\n    return i\\n\\ndef __starting_point():\\n    s=readinput()\\n    ans=main(s)\\n    print(ans)\\n\\n__starting_point()\", \"s = int(input())\\n\\nmp = [False]*(10**6+1)\\ndef even_f(n):\\n    return n//2\\n\\ndef odd_f(n):\\n    return 3*n+1\\n\\nmp[s]=True\\nnow = s\\nfor i in range(1,10**6+1):\\n    if(now%2==0):\\n        now = even_f(now)\\n    else:\\n        now = odd_f(now)\\n\\n    if(mp[now]):\\n        savei=i\\n        break\\n    mp[now]=True\\n\\nprint((savei+1))\\n        \\n\", \"s = int(input())\\nans = [s]\\ni = 1\\nif s == 1 or s == 2:\\n    ans = 4\\nelse:\\n    while ans[i-1] != 4:\\n        if ans[i-1] % 2 ==0:\\n            ans.append(ans[i-1]//2)\\n        else:\\n            ans.append(ans[i-1]*3 + 1 )\\n        i += 1\\n    ans = i + 3\\nprint(ans)\", \"import sys\\n\\n\\ndef input(): return sys.stdin.readline().strip()\\ndef I(): return int(input())\\ndef LI(): return list(map(int, input().split()))\\ndef IR(n): return [I() for i in range(n)]\\ndef LIR(n): return [LI() for i in range(n)]\\ndef SR(n): return [S() for i in range(n)]\\ndef S(): return input()\\ndef LS(): return input().split()\\n\\n\\nINF = float('inf')\\n\\ns = I()\\nvs = set()\\nvs.add(s)\\nnow = 0 + s\\ni = 1\\nwhile True:\\n    i += 1\\n    now = now / 2 if now % 2 == 0 else 3*now + 1\\n    if now in vs:\\n        break\\n    else:\\n        vs.add(now)\\n\\nprint(i)\\n\", \"s = int(input())\\nlist_a = [s]\\n\\nfor i in range(1000000):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] / 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n        \\nfor index, ai in enumerate(list_a, 1):\\n    if ai in list_a[:index - 1]:\\n        print(index)\\n        break\\n\", \"\\nurl = \\\"https://atcoder.jp//contests/abc116/tasks/abc116_b\\\"\\n\\ndef calc(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\n\\ndef main():\\n    s = int(input())\\n    ans = [s]\\n    while True:\\n        tmp = calc(ans[-1])\\n        ans.append(tmp)\\n        if ans.index(tmp) != len(ans)-1:\\n            print((len(ans)))\\n            break\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"s=int(input())\\nL=[]\\nn=1\\nwhile not s in L:\\n  L.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  n+=1\\nprint(n)\", \"n = int(input())\\ndata =[0]* 1000000\\ndata[0] = n\\ni = 2\\nif n % 2 == 0:\\n    data[1] = n //2\\nelse:\\n    data[1] = 3 * n + 1\\nwhile data[i - 1] not in data[0: i -2]:\\n    if data[i-1] % 2 == 0:\\n            data[i] = data[i - 1]//2\\n    else:\\n            data[i] = 3 * data[i - 1] + 1\\n    i += 1\\nprint(i)\", \"s=int(input())\\nG =[]\\nwhile (s not in G):\\n  G.append(s)\\n  if s % 2==0:\\n    s = int(s//2)\\n  else:\\n    s = int(3*s+1)\\nprint(len(G)+1)\", \"s = int(input())\\nl = [s]\\na = set(l)\\nfor i in range(10**6):\\n  if l[-1] % 2 == 0:\\n    n = l[-1] // 2\\n  else:\\n    n = 3*l[-1] + 1\\n  if n not in a:\\n    a.add(n)\\n    l.append(n)\\n  else:\\n    print(len(l)+1)\\n    break\", \"a=int(input())\\ns=set()\\ni=1\\nwhile True:\\n    if a in s:\\n        print(i)\\n        break\\n    s|={a}\\n    if a%2==0:\\n        a>>=1\\n    else:\\n        a=3*a+1\\n    i+=1\\n\", \"s = int(input())\\n\\ndef f(n):\\n    if n%2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\nx = set()\\nans = 0\\nwhile True:\\n    ans += 1\\n    if s in x:\\n        print(ans)\\n        break\\n    x.add(s)\\n    s = f(s)\", \"a=int(input())\\ni=1\\nli=[a]\\nimport copy\\nwhile True:\\n    if li[i-1]%2==0:\\n        b=li[i-1]//2\\n    else:\\n        b=3*li[i-1]+1\\n    if b in li:\\n        print((i+1))\\n        return\\n    li.append(b)\\n    i+=1\\n        \\n\", \"s=int(input())\\ndef f(n):\\n    if n%2==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\na=[0]*(10**8)\\na[s]=1\\ncnt=1\\nfor _ in range(10**7):\\n    s=f(s)\\n    cnt+=1\\n    if a[s]:\\n        print(cnt)\\n        break\\n    a[s]=1\\n\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"n = int(input())\\n\\ndp = [True]*(n*1000000)\\ndp[n] = False\\nres =1\\nwhile n <1000001:\\n    res +=1\\n    if n % 2 ==1:\\n        n = n*3+1\\n    else:\\n        n = n//2\\n    \\n    if dp[n]:\\n        dp[n] = False\\n    else:\\n        print(res)\\n        return\", \"s = int(input())\\n\\na = [0]*(10**6+1)\\nc = [0]*(10**6+1)\\na[1] = s\\nc[s] = 1\\nfor i in range(2, 10**6+1):\\n    v = a[i-1]//2 if a[i-1] % 2 == 0 else 3*a[i-1]+1\\n    a[i] = v\\n    if c[v] == 1:\\n        print(i)\\n        return\\n    c[v] = 1\", \"S = int(input())\\narray = []\\narray.append(S)\\n\\nwhile True:\\n  count = 0\\n  if S % 2 == 0:\\n    S = S / 2\\n    array.append(S)\\n  else:\\n    S = 3 * S + 1\\n    array.append(S)\\n  for i in range(len(array)):\\n    if S == array[i]:\\n      count += 1\\n      if count == 2:\\n        print((i + 1))\\n        return\\n\", \"a=int(input())\\nb=0\\nif a==2:\\n  print(4)\\nelif a==1:\\n  print(4)\\nelse:\\n  while a!=4:\\n    if a%2==0:\\n      a=a//2\\n      b=b+1\\n    else:\\n      a=3*a+1\\n      b=b+1\\n  print(b+4)\", \"s = int(input())\\n\\nans_list = [s]\\ncurr_value = s\\nindex = 1\\nwhile(True):\\n    if curr_value%2==0:\\n        curr_value = int(curr_value/2)\\n    else:\\n        curr_value = 3*curr_value + 1\\n    index += 1\\n    if curr_value in ans_list:\\n        break\\n    else:\\n        ans_list.append(curr_value)\\nprint(index)\", \"a = int(input())\\ns = set([a])\\n\\nfor i in range(10**6):\\n\\tif a % 2 == 0:\\n\\t\\t# print(\\\"Process for even.\\\")\\n\\t\\ta = a//2\\n\\telse:\\n\\t\\t# print(\\\"Process for odd.\\\")\\n\\t\\ta = 3*a + 1\\n\\tif a not in s:\\n\\t\\ts.add(a)\\n\\telse:\\n\\t\\tprint((i+2))\\n\\t\\tbreak\\n\", \"def f(n):\\n\\tif n % 2 == 0:\\n\\t\\treturn n / 2\\n\\telse:\\n\\t\\treturn 3 * n + 1\\n\\t\\t\\ns = int(input())\\n\\na = []\\nfor i in range(1000000):\\n\\tif i == 0:\\n\\t\\ta.append(s)\\n\\telse:\\n\\t\\tif f(a[-1]) in a:\\n\\t\\t\\tprint(i+1)\\n\\t\\t\\tbreak\\n\\t\\telse:\\n\\t\\t\\ta.append(f(a[-1]))\", \"s = int(input())\\nvisited = [False]*(10**6+1)\\n\\nvisited[s] = True\\ncnt = 1\\n\\nwhile True:\\n    if s & 1:\\n        s = s * 3 + 1\\n    else:\\n        s //= 2\\n    \\n    cnt += 1\\n\\n    if visited[s]:\\n        print(cnt)\\n        break\\n\\n    visited[s] = True\", \"s = int(input())\\na = [s]\\nfor i in range(1, 1000001):\\n    if a[i-1]%2 == 0:\\n        x = a[i-1]//2\\n        if x in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(x)\\n    else:\\n        y = a[i-1]*3 + 1\\n        if y in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(y)\", \"from sys import stdin\\n\\ns = int(stdin.readline().strip())\\nmem = []\\na = s\\n\\nfor i in range(1000000):\\n  if a in mem:\\n    print(i+1)\\n    return\\n  mem.append(a)\\n  if a % 2 == 0: a = a // 2\\n  else: a = 3 * a + 1\"]",
        "difficulty": "introductory",
        "input": "8\n",
        "output": "5\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc116/tasks/abc116_b"
    },
    {
        "id": 478,
        "task_id": 4311,
        "test_case_id": 2,
        "question": "A sequence a=\\{a_1,a_2,a_3,......\\} is determined as follows:\n - The first term s is given as input.\n - Let f(n) be the following function: f(n) = n/2 if n is even, and f(n) = 3n+1 if n is odd.\n - a_i = s when i = 1, and a_i = f(a_{i-1}) when i > 1.\nFind the minimum integer m that satisfies the following condition:\n - There exists an integer n such that a_m = a_n (m > n).\n\n-----Constraints-----\n - 1 \\leq s \\leq 100\n - All values in input are integers.\n - It is guaranteed that all elements in a and the minimum m that satisfies the condition are at most 1000000.\n\n-----Input-----\nInput is given from Standard Input in the following format:\ns\n\n-----Output-----\nPrint the minimum integer m that satisfies the condition.\n\n-----Sample Input-----\n8\n\n-----Sample Output-----\n5\n\na=\\{8,4,2,1,4,2,1,4,2,1,......\\}. As a_5=a_2, the answer is 5.",
        "solutions": "[\"from collections import defaultdict\\n\\nd = defaultdict(bool)\\n\\nn = int(input())\\nfor i in range(1000000):\\n\\n    if d[n]:\\n        print((i + 1))\\n        return\\n    d[n] = True\\n    if n & 1:\\n        n = n * 3 + 1\\n    else:\\n        n >>= 1\\n\", \"a=int(input())\\nb=[]\\nb.append(a)\\nwhile True:\\n    if a%2==0:\\n        a=a/2\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\\n    elif a%2!=0:\\n        a=3*a+1\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\", \"s = int(input())\\na = s\\nc = 0\\nif a == 1 or a == 2:\\n  ans = 4\\nelse:\\n  while a != 1:\\n    if a%2 == 0:\\n      a = int(a/2)\\n      c += 1\\n    else:\\n      a = int(3*a+1)\\n      c += 1\\n  ans = c+2\\nprint(ans)\", \"s = int(input())\\nans = [0]*1000001\\ncnt = 1\\n\\nwhile True:\\n    if ans[s] == 0:\\n        ans[s] += 1\\n\\n        if s%2 == 0:\\n            s = s//2\\n        else:\\n            s = 3*s+1\\n        cnt += 1\\n\\n    if ans[s] != 0:\\n        print(cnt)\\n        return\\n\\n\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n\\nprint(i)\", \"n=int(input())\\nli = []\\nwhile not n in li:\\n  li.append(n)\\n  if n % 2 == 0:\\n    n //= 2\\n  else:\\n    n = n * 3 + 1\\n  \\nprint(len(li)+1)\", \"s = int(input())\\n\\nlst = [s]\\nprev = s\\nfor m in range(2, 1000001):\\n    if prev % 2 == 0:\\n        i = int(prev / 2)\\n    else:\\n        i = 3 * prev + 1\\n    if i in lst:\\n        print(m)\\n        break\\n    lst.append(i)\\n    prev = i\", \"s = int(input())\\na = [s]\\nwhile True:\\n  if a.count(a[-1]) == 2:\\n    print(len(a))\\n    return\\n  if a[-1]%2 == 0:\\n    a.append(a[-1]/2)\\n  else:\\n    a.append(3*a[-1]+1)\", \"n = int(input())\\nc = 0\\nx = []\\nwhile True:\\n    c+=1\\n    if n in x:\\n        print(c)\\n        break\\n    x.append(n)\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\", \"n=int(input())\\na=[n]\\ncnt=1\\nwhile len(set(a))==len(a):\\n    if n%2==0: \\n        n//=2\\n    else:\\n        n=3*n+1\\n    a.append(n)\\n    cnt+=1\\nprint(cnt)\\n\", \"s=int(input())\\na=[0]*10**6\\na[0]=s\\n\\ndef f(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x+1\\nt=0 \\nwhile f(a[t])>0:\\n  p=f(a[t])\\n  if p in a:\\n    print((t+2))\\n    return\\n  a[t+1]=p\\n  t+=1\\n\", \"def func(n: int) -> int:\\n    return n // 2 if n % 2 == 0 else n * 3 + 1\\n\\n\\ndef answer(s: int) -> int:\\n    sequence_a = [s]\\n    while True:\\n        num = func(sequence_a[-1])\\n        if num in sequence_a:\\n            return len(sequence_a) + 1\\n        sequence_a.append(num)\\n\\n\\ndef main():\\n    s = int(input())\\n    print((answer(s)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\ndef f(n):\\n    if n % 2 == 0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\ns = k()\\nnum.append(s)\\nwhile True:\\n    cnt += 1\\n    s = f(s)\\n    if s in num:\\n        print((cnt+1))\\n        return\\n    else:\\n        num.append(s)\\n        \\n\\n\\n\", \"s = int(input())\\nTMP = [s]\\n\\nif s==1 or s==2:\\n    print(4)\\nelse:\\n    while TMP[-1]!=1:\\n        if TMP[-1] % 2 == 0:\\n            TMP.append(TMP[-1]//2)\\n        elif TMP[-1] % 2 != 0:\\n            TMP.append(3 * TMP[-1] + 1)\\n    print(len(TMP)+1)\", \"s = int(input())\\nl = []\\ndef myfunc(x):\\n  if x%2 == 0:\\n    x = x//2\\n  else:\\n    x = 3*x + 1\\n  return x\\nfor i in range(10**6):\\n  l.append(s)\\n  s = myfunc(s)\\n  if s in l:\\n    print(i+2)\\n    break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    # \\u524d\\u56de\\u306e\\u5024\\u306b\\u3088\\u3063\\u3066\\u8a08\\u7b97\\u3092\\u5909\\u3048\\u308b\\u3002\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    # \\u6570\\u5217\\u306b\\u540c\\u3058\\u5024\\u304c\\u542b\\u307e\\u308c\\u3066\\u3044\\u308b\\u304b\\u3069\\u3046\\u304b\\uff1f\\n    if n in a:\\n\\t  \\t# \\u914d\\u5217\\u304c0\\u304b\\u3089\\u59cb\\u307e\\u308b\\u305f\\u3081\\u3001\\u30ab\\u30a6\\u30f3\\u30c8\\u30a2\\u30c3\\u30d7\\u3002\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s=int(input())\\ncol=[]\\na=s\\ncount=1\\nwhile True:\\n  col.append(a) \\n  if a%2==0:\\n    a=a/2\\n  else:\\n    a=a*3+1\\n  if a in col:\\n    print(count+1)\\n    break\\n  count+=1\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = []\\nans.append(s)\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"def main():\\n    def f(n):\\n        return 3 * n + 1 if n % 2 else n // 2\\n    s = int(input())\\n    a = [s]\\n    for i in range(1, 11**6):\\n        x = f(a[i-1])\\n        if x in a:\\n            return len(a) + 1; return\\n        a.append(x)\\n\\n\\nprint(main())\", \"s=int(input())\\na=[]\\nans=1\\nwhile True:\\n  a.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  ans+=1\\n  if s in a:\\n    print(ans)\\n    break\", \"s = int(input())\\nli = []\\nli.append(s)\\n\\nfor i in range(1,1000000000):\\n    if li[i-1] % 2 == 0:\\n        li.append(li[i-1]//2)\\n    else:\\n        li.append(li[i-1]*3+1)\\n\\n    for j in range(len(li)-1):\\n        if li[j] ==li[i]:\\n            print((i+1))\\n            return\\n\", \"s = int(input())\\na = [s]\\nb = 1\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = 3 * s + 1\\n    if s in a:\\n        print(len(a) + 1)\\n        return\\n    a.append(s)\", \"s = int(input())\\nL = []\\nfor c in range(2 , 10 ** 6 + 1):\\n  L.append(s)\\n  if s % 2 == 0:\\n    s = s // 2\\n  elif s % 2 == 1:\\n    s = s * 3 + 1\\n  if s in L:\\n    break\\nprint(c)\", \"s = int(input())\\n\\nif s == 1 or s == 2:\\n    print(4)\\n    return\\n\\ndef function(n):\\n    if n % 2 == 0:\\n        return int(n/2)\\n    else:\\n        return int(n*3+1)\\ni = 0\\ncount = 0\\na = []\\na.append(s)\\nwhile count < 2:\\n    a.append(function(a[i]))\\n    if a[i] == 4:\\n        count += 1\\n    i += 1\\nprint(i)\", \"n=int(input())\\nl=[n]\\nwhile True:\\n    if n%2==0:\\n        n//=2\\n    else:\\n        n=n*3+1\\n    if n in l:\\n        break\\n    else:\\n        l.append(n)\\nprint((len(l)+1))\\n\", \"s = int(input())\\nlist_a = [None]\\nlist_a.append(s)\\nans = 0\\nfor i in range(1, 10 ** 6 + 1):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] // 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n    if list_a[i] in list_a[:i]:\\n        ans = i\\n        break\\nprint(ans)\", \"s = int(input())\\nS = [str(s)]\\ni = 1\\nwhile True:\\n    if s % 2 == 0:\\n        i += 1\\n        s = s//2\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\n    else:\\n        i += 1\\n        s = int(3 * s + 1)\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\npass\\n\", \"import sys\\nimport copy\\ns = int(input())\\n\\ndef f(n):\\n    if n%2==0:\\n        return int(n/2)\\n    else:\\n        return 3*n+1\\n\\nfor i in range(1000000):\\n    if i == 0:\\n        a=[s]\\n    else:\\n        a.append(f(a[i-1]))\\n    \\n    if a.count(a[i]) == 2:\\n        print((i+1))\\n        return\\n\", \"# import math\\n# import statistics\\na=int(input())\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\n# e1,e2 = map(int,input().split())\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\n\\nda=True\\nap=[a]\\ncount=1\\nwhile da:\\n    if a%2==0:\\n        a=a//2\\n        ap.append(a)\\n    elif a%2==1:\\n        a=3*a+1\\n        ap.append(a)\\n    count+=1\\n    if len(set(ap))<len(ap):\\n        print(count)\\n        da=False\\n\", \"a = int(input())\\n \\ndic = {}\\ndic[a] = 1\\n\\ni = 1\\nwhile True:\\n  i += 1\\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n    \\n  if a in dic: break\\n  dic[a] = 1\\n  \\nprint(i)\", \"s = int(input())\\n\\nif s < 3:\\n  print(4)\\n  return\\n\\ncnt = 1\\nval = s\\nwhile True:\\n  if cnt > 1 and val == 1:\\n    break\\n  \\n  if val % 2 == 0:\\n    val = val//2\\n  else:\\n    val = val*3+1\\n    \\n  cnt += 1\\n             \\nprint(cnt+1)\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = [s]\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"n = int(input())\\na = [n]\\nindex = 0\\n\\nfor i in range(1, 1000000):\\n    if a[i - 1] % 2 == 0:\\n        m = a[i - 1] / 2\\n    else:\\n        m = 3 * a[i - 1] + 1\\n    if m in a:\\n        index = i + 1\\n        break\\n    a.append(m)\\nprint(index)\", \"s = int(input())\\n\\nmax_ = 1000000\\nchk = [0]*max_\\na = s\\ni = 1\\nwhile i <= max_:\\n    if chk[a] == 0:\\n        chk[a] += 1\\n    else:\\n        print(i)\\n        return\\n    if a%2 == 0:\\n        a = int(a/2)\\n    else:\\n        a = 3*a + 1\\n    i += 1\\n\", \"s = int(input())\\n\\nA = [s]\\nidx = 1\\nwhile True:\\n    n = A[idx-1]\\n    if n % 2:\\n        f = 3*n + 1\\n    else:\\n        f = n / 2\\n    idx += 1\\n    A.append(f)\\n    if len(A) != len(set(A)):\\n        break\\nprint(idx)\", \"s = int(input())\\n\\ncount = 1\\nn = s\\ncheck = 0\\nlist = [s]\\n\\n\\nfor i in range(30000):\\n        if n % 2 == 0:\\n            n = n / 2\\n            list.append(n)\\n        else:\\n            n = n*3 + 1\\n            list.append(n)\\n        \\n        count = count + 1\\n        list.sort()\\n        for j in range(len(list) - 1):\\n            if list[j] ==list[j+1]:\\n                check = 1\\n                break\\n            \\n        if check == 1:\\n            break\\n        \\n\\n\\nprint(count)\\n\\n\", \"S = int(input())\\ns, c = S, 1\\nresult = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    elif s % 2 == 1:\\n        s = s * 3 + 1\\n\\n    result.append(s)\\n    c += 1\\n    if len(set(result)) < len(result):\\n        break\\n\\nprint(c)\", \"#-*-coding:utf-8-*-\\nimport sys\\ninput=sys.stdin.readline\\n\\ndef func(n):\\n    ans =0\\n    if n%2==0:\\n        ans=n//2\\n    else:\\n        ans=3*n+1\\n    return ans\\n\\ndef main():\\n    s = int(input())\\n    dp=[s]\\n    counter=0\\n\\n    if s==1 or s==2:\\n        print(4)\\n        return\\n\\n    while counter < 1000001:\\n        n=dp.pop()\\n        tmp = func(n)\\n        dp.append(n)\\n        dp.append(tmp)\\n        counter+=1\\n        if tmp==4:\\n            print(dp.index(tmp)+4)\\n            break\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\nS = int(input())\\n\\na = [S]\\ncnt = 1\\nwhile True:\\n    if S%2 == 0:\\n        S /= 2\\n    else:\\n        S = 3*S + 1\\n    cnt += 1\\n    if S in a:\\n        break\\n    else:\\n        a.append(S)\\n\\nprint(cnt)\", \"s = int(input())\\n\\nnum_lists = [s]\\ncnt = 1\\nwhile True:\\n    if (num_lists[-1])%2 == 0:\\n        tmp = num_lists[-1]/2\\n    else:\\n        tmp =(num_lists[-1]*3)+1\\n    cnt += 1\\n    if tmp in num_lists:\\n        ans = cnt\\n        break\\n    else:\\n        num_lists.append(tmp)\\n\\nprint(ans)\", \"import sys\\ns=int(input())\\n\\ncnt=0\\n\\nif s==1 or s==2:\\n  print('4')\\n  return\\n\\nwhile s!=4:\\n  if s%2!=0:\\n    s=3*s+1\\n    cnt+=1\\n  elif s%2==0:\\n    s=s//2\\n    cnt+=1\\n\\nif s==4:\\n  print(cnt+4)\", \"s=int(input())\\na=[]\\nna=[]\\na.append(s)\\nfor i in range(1,10**6):\\n    if a[i-1]%2==0:\\n        a.append(a[i-1]/2)\\n    else:\\n        a.append(a[i-1]*3+1)\\n    na=set(a)\\n    if len(na)!=i+1:\\n        print(i+1)\\n        return\", \"s = int(input())\\n\\na = []\\na.append(s)\\nfor i in range(1000000):\\n  if a[i]%2 == 0:\\n    a.append(a[i] // 2)\\n  else:\\n    a.append(3*a[i] + 1)\\n  for j in range(i-1):\\n    if a[i+1] == a[j]:\\n      print(len(a))\\n      return\", \"s = int(input())\\ndef p(n):\\n    if n%2 ==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\nl = [s]\\ncnt = 1\\nwhile True:\\n    cnt +=1\\n    s = p(s)\\n    if s in l:\\n        print(cnt)\\n        return\\n    else:\\n        l.append(s)\", \"s = int (input ())\\nl = []\\na = 0\\nl.append (s)\\nfor i in range (1000000):\\n  a += 1\\n  if s%2 == 0:\\n    s = round(s/2)\\n  else:\\n    s = s*3+1\\n  if l.count (s) != 0:\\n    print (a+1)\\n    break\\n  else:\\n    l.append (s)\", \"s = int(input())\\n\\n\\nclass Solution:\\n    def __init__(self,s):\\n        self.s = s\\n    \\n    def function_a(self):\\n        if self.s % 2 == 0:\\n            return self.s / 2\\n        else:\\n            return 3 * self.s + 1\\n    \\n    def answer(self):\\n        list_a = [self.s]\\n        self.s = self.function_a()\\n        ans = 2\\n        while self.s not in list_a:\\n            list_a.append(self.s)\\n            self.s = self.function_a()\\n            ans += 1\\n        print(ans)\\n\\n\\nconditon = Solution(s)\\nconditon.answer()\", \"S = int(input())\\nl = []\\n\\nwhile S not in l:\\n    l.append(S)\\n    if S%2 == 0:\\n        S //=2\\n    else:\\n        S = 3*S + 1\\nprint((len(l)+1))\\n\", \"s = int(input())\\nS = {s}\\ni = 1\\nwhile True:\\n  i += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    break\\n  S.add(s)\\nprint(i)\", \"s = int(input())\\n\\nbox = set()\\nbox.add(s)\\n\\nfor i in range(2, 1000000):\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = s * 3 + 1\\n  if s in box:\\n    print(i)\\n    return\\n  else:\\n    box.add(s)\\n\", \"s = int(input())\\n\\ndef collatz(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\ncoll = s\\ni = 1\\nwhile 1:\\n    if coll == 1 or coll == 2 or coll == 4:\\n        print(i  + 3)\\n        break\\n    coll = collatz(coll)\\n    i += 1\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n  \\nprint(i)\", \"S=int(input())\\n\\na=[S]\\ntemp=S\\n\\ni=0\\n\\nwhile i<200:\\n\\ti+=1\\n\\tif temp%2==0:\\n\\t\\ta.append(temp//2)\\n\\telse:\\n\\t\\ta.append(temp*3+1)\\n\\ttemp=a[-1]\\n\\nfor n in range(200):\\n\\tfor m in range(n+1,200):\\n\\t\\tif a[n]==a[m]:\\n\\t\\t\\tprint(m+1)\\n\\t\\t\\treturn\", \"s=int(input())\\n\\na_list=[s]\\n\\n\\na=s\\nwhile True:\\n    \\n    if a%2==0:\\n        a=a//2\\n    else:\\n        a=3*a+1\\n    \\n    if a in a_list:\\n        break\\n    else:\\n        a_list.append(a)\\n\\nans=len(a_list)+1\\n\\nprint(ans)\", \"s = int(input())\\na = [s]\\n\\ndef func(n):\\n  if n % 2 == 0:\\n    a.append(n//2)\\n  elif n % 2 == 1:\\n    a.append(3*n + 1)\\n  \\ni = 1\\nwhile True:\\n  func(a[-1])\\n  i += 1\\n  if a.count(a[-1]) == 2:\\n    break\\n  else:\\n    pass\\n\\n\\nprint(i)\", \"def f(n):\\n    if n % 2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\n\\ns = int(input())\\ncnt = 0\\na = [s]\\nwhile True:\\n\\n    temp = f(a[cnt])\\n\\n    if temp in a:\\n        print((len(a)+1))\\n        return\\n    a.append(temp)\\n    cnt += 1\\n\", \"s = int(input())\\n\\ndef f(x):\\n    if x%2 == 0:\\n        return int(x/2)\\n    else:\\n        return 3*x + 1\\ni = 1\\nm_max = 1000000\\nb_s = s\\nb = set([s])\\nwhile i <= m_max:\\n    i += 1\\n    a = f(b_s)\\n    if a in b:\\n        break\\n    b.add(a)\\n    b_s = a\\nprint(i)\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"s = int(input())\\na = [s]\\nans = 0\\nfor i in range(1000000):\\n    if a[i] % 2 == 0:\\n        if a[i]/2 in a:\\n            ans = i + 2\\n            break\\n        a.append(a[i]/2)\\n    else:\\n        if 3*a[i] + 1 in a:\\n            ans = i + 2\\n            break\\n        a.append(3*a[i] + 1)\\nprint(ans)\", \"n = int(input())\\nc = 1\\nx = []\\nx.append(n)\\nwhile True:\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\\n    c+=1\\n    if n in x:\\n        break\\n    x.append(n)\\nprint(c)\", \"import sys\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    S = int(input())\\n\\n    x = set()\\n    x.add(S)\\n\\n    i = 1\\n    prev = S\\n    while True:\\n        i += 1\\n        if prev % 2 == 0:\\n            prev = prev // 2\\n        else:\\n            prev = prev * 3 + 1\\n\\n        if prev in x:\\n            print(i)\\n            return\\n\\n        x.add(prev)\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"s = int(input())\\narr = []\\nans = 0\\ndef calc(n, cnt):\\n    arr.append(n)\\n\\n    if cnt >= 1000000:\\n        return n\\n\\n    if n % 2 == 0:\\n        n = int(n / 2)\\n    else:\\n        n = int(3 * n + 1)\\n\\n    if n in arr:\\n        return cnt\\n\\n    cnt += 1\\n    calc(n, cnt)\\ncalc(s, 0)\\nprint((len(arr) + 1))\\n\", \"def func(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x + 1\\nA = [True for i in range(1000001)]\\nN = int(input())\\ncount = 1\\nwhile A[N]:\\n  A[N] = False\\n  N = func(N)\\n  count += 1\\nprint(count)\", \"a = [int(input())]\\n\\ni = 0\\nwhile True:\\n    if a[i]%2 == 0:\\n        a.append(int(a[i]/2))\\n    else:\\n        a.append(int((3*a[i])+1))\\n    if a.count(a[i]) == 2:\\n        break\\n    i += 1\\n\\nprint(i+1)\", \"s = int(input())\\nlist_a = [s]\\n\\nif s % 2 == 0:\\n    s = s / 2\\nelse:\\n    s = 3 * s + 1\\n    \\ncurrent = 2\\nwhile s not in list_a:\\n    list_a.append(s)\\n    if s % 2 == 0:\\n        s = s / 2\\n    else:\\n        s = 3 * s + 1\\n    current += 1\\n\\nprint(current)\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"s=int(input())\\n\\nans=1\\ns_st=set()\\nwhile s not in s_st:\\n  s_st.add(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=3*s+1\\n  ans+=1\\n\\nprint(ans)\", \"import sys\\ns = int(input())\\nf = [0 for _ in range(1000005)]\\nf[s] = 1\\nn = s\\nfor i in range(1000005):\\n  if(n%2==0):\\n    n = int(n/2)\\n  else:\\n    n = int(3*n + 1)\\n  if(f[n] == 1):\\n    print(i+2)\\n    return\\n  else:\\n    f[n] = 1\", \"s = int(input())\\n\\nsec = [s]\\ncount = 1\\nwhile(s):\\n  if sec[-1]%2 == 0:\\n    sec.append(sec[-1]/2)\\n  else:\\n    sec.append(3*sec[-1]+1)\\n  count+=1\\n    \\n  if sec[-1] in sec[:-1]:\\n    print(count)\\n    break\", \"s = int(input())\\nline = [0 for i in range(1000001)]\\nans = 1\\nline[s] += 1\\nwhile True:\\n  ans += 1\\n  if s % 2 == 0:\\n    s = int(s/2)\\n  else:\\n    s = 3*s + 1\\n  line[s] += 1\\n  if line[s] > 1:\\n    break\\nprint(ans)\", \"a = int(input())\\nl = [a]\\nfor i in range(1000000):\\n  if a % 2 == 0:\\n    a = a//2\\n  else:\\n    a = a*3 + 1\\n  if l.count(a)==2:\\n    print((1+max([i for i, x in enumerate(l) if x == a])))\\n    break\\n  else:\\n    l.append(a)\\n\", \"s = int(input())\\na = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = s * 3 + 1\\n    a.append(s)\\n    if a.count(s) == 2:\\n        print(len(a))\\n        break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    if n in a:\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s = int(input())\\na = [s]\\ni = 1\\nwhile True:\\n  if s % 2 == 0:\\n    s = s // 2\\n  else:\\n    s = 3 * s + 1\\n  if s in a:\\n    print(len(a) + 1)\\n    break\\n  a.append(s)\", \"s=int(input())\\ncnt = 1\\nS = [s]\\nwhile(1):\\n  cnt += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    print(cnt)\\n    break\\n  S.append(s)\\n\", \"def readinput():\\n    s=int(input())\\n    return s\\n\\ndef main(s):\\n    hist=[0]*1000001\\n    i=1\\n    n=s\\n    hist[n]+=1\\n    while hist[n]<=1:\\n        if n%2==0:\\n            n=n//2\\n        else:\\n            n=3*n+1\\n        i+=1\\n        hist[n]+=1\\n    return i\\n\\ndef __starting_point():\\n    s=readinput()\\n    ans=main(s)\\n    print(ans)\\n\\n__starting_point()\", \"s = int(input())\\n\\nmp = [False]*(10**6+1)\\ndef even_f(n):\\n    return n//2\\n\\ndef odd_f(n):\\n    return 3*n+1\\n\\nmp[s]=True\\nnow = s\\nfor i in range(1,10**6+1):\\n    if(now%2==0):\\n        now = even_f(now)\\n    else:\\n        now = odd_f(now)\\n\\n    if(mp[now]):\\n        savei=i\\n        break\\n    mp[now]=True\\n\\nprint((savei+1))\\n        \\n\", \"s = int(input())\\nans = [s]\\ni = 1\\nif s == 1 or s == 2:\\n    ans = 4\\nelse:\\n    while ans[i-1] != 4:\\n        if ans[i-1] % 2 ==0:\\n            ans.append(ans[i-1]//2)\\n        else:\\n            ans.append(ans[i-1]*3 + 1 )\\n        i += 1\\n    ans = i + 3\\nprint(ans)\", \"import sys\\n\\n\\ndef input(): return sys.stdin.readline().strip()\\ndef I(): return int(input())\\ndef LI(): return list(map(int, input().split()))\\ndef IR(n): return [I() for i in range(n)]\\ndef LIR(n): return [LI() for i in range(n)]\\ndef SR(n): return [S() for i in range(n)]\\ndef S(): return input()\\ndef LS(): return input().split()\\n\\n\\nINF = float('inf')\\n\\ns = I()\\nvs = set()\\nvs.add(s)\\nnow = 0 + s\\ni = 1\\nwhile True:\\n    i += 1\\n    now = now / 2 if now % 2 == 0 else 3*now + 1\\n    if now in vs:\\n        break\\n    else:\\n        vs.add(now)\\n\\nprint(i)\\n\", \"s = int(input())\\nlist_a = [s]\\n\\nfor i in range(1000000):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] / 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n        \\nfor index, ai in enumerate(list_a, 1):\\n    if ai in list_a[:index - 1]:\\n        print(index)\\n        break\\n\", \"\\nurl = \\\"https://atcoder.jp//contests/abc116/tasks/abc116_b\\\"\\n\\ndef calc(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\n\\ndef main():\\n    s = int(input())\\n    ans = [s]\\n    while True:\\n        tmp = calc(ans[-1])\\n        ans.append(tmp)\\n        if ans.index(tmp) != len(ans)-1:\\n            print((len(ans)))\\n            break\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"s=int(input())\\nL=[]\\nn=1\\nwhile not s in L:\\n  L.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  n+=1\\nprint(n)\", \"n = int(input())\\ndata =[0]* 1000000\\ndata[0] = n\\ni = 2\\nif n % 2 == 0:\\n    data[1] = n //2\\nelse:\\n    data[1] = 3 * n + 1\\nwhile data[i - 1] not in data[0: i -2]:\\n    if data[i-1] % 2 == 0:\\n            data[i] = data[i - 1]//2\\n    else:\\n            data[i] = 3 * data[i - 1] + 1\\n    i += 1\\nprint(i)\", \"s=int(input())\\nG =[]\\nwhile (s not in G):\\n  G.append(s)\\n  if s % 2==0:\\n    s = int(s//2)\\n  else:\\n    s = int(3*s+1)\\nprint(len(G)+1)\", \"s = int(input())\\nl = [s]\\na = set(l)\\nfor i in range(10**6):\\n  if l[-1] % 2 == 0:\\n    n = l[-1] // 2\\n  else:\\n    n = 3*l[-1] + 1\\n  if n not in a:\\n    a.add(n)\\n    l.append(n)\\n  else:\\n    print(len(l)+1)\\n    break\", \"a=int(input())\\ns=set()\\ni=1\\nwhile True:\\n    if a in s:\\n        print(i)\\n        break\\n    s|={a}\\n    if a%2==0:\\n        a>>=1\\n    else:\\n        a=3*a+1\\n    i+=1\\n\", \"s = int(input())\\n\\ndef f(n):\\n    if n%2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\nx = set()\\nans = 0\\nwhile True:\\n    ans += 1\\n    if s in x:\\n        print(ans)\\n        break\\n    x.add(s)\\n    s = f(s)\", \"a=int(input())\\ni=1\\nli=[a]\\nimport copy\\nwhile True:\\n    if li[i-1]%2==0:\\n        b=li[i-1]//2\\n    else:\\n        b=3*li[i-1]+1\\n    if b in li:\\n        print((i+1))\\n        return\\n    li.append(b)\\n    i+=1\\n        \\n\", \"s=int(input())\\ndef f(n):\\n    if n%2==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\na=[0]*(10**8)\\na[s]=1\\ncnt=1\\nfor _ in range(10**7):\\n    s=f(s)\\n    cnt+=1\\n    if a[s]:\\n        print(cnt)\\n        break\\n    a[s]=1\\n\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"n = int(input())\\n\\ndp = [True]*(n*1000000)\\ndp[n] = False\\nres =1\\nwhile n <1000001:\\n    res +=1\\n    if n % 2 ==1:\\n        n = n*3+1\\n    else:\\n        n = n//2\\n    \\n    if dp[n]:\\n        dp[n] = False\\n    else:\\n        print(res)\\n        return\", \"s = int(input())\\n\\na = [0]*(10**6+1)\\nc = [0]*(10**6+1)\\na[1] = s\\nc[s] = 1\\nfor i in range(2, 10**6+1):\\n    v = a[i-1]//2 if a[i-1] % 2 == 0 else 3*a[i-1]+1\\n    a[i] = v\\n    if c[v] == 1:\\n        print(i)\\n        return\\n    c[v] = 1\", \"S = int(input())\\narray = []\\narray.append(S)\\n\\nwhile True:\\n  count = 0\\n  if S % 2 == 0:\\n    S = S / 2\\n    array.append(S)\\n  else:\\n    S = 3 * S + 1\\n    array.append(S)\\n  for i in range(len(array)):\\n    if S == array[i]:\\n      count += 1\\n      if count == 2:\\n        print((i + 1))\\n        return\\n\", \"a=int(input())\\nb=0\\nif a==2:\\n  print(4)\\nelif a==1:\\n  print(4)\\nelse:\\n  while a!=4:\\n    if a%2==0:\\n      a=a//2\\n      b=b+1\\n    else:\\n      a=3*a+1\\n      b=b+1\\n  print(b+4)\", \"s = int(input())\\n\\nans_list = [s]\\ncurr_value = s\\nindex = 1\\nwhile(True):\\n    if curr_value%2==0:\\n        curr_value = int(curr_value/2)\\n    else:\\n        curr_value = 3*curr_value + 1\\n    index += 1\\n    if curr_value in ans_list:\\n        break\\n    else:\\n        ans_list.append(curr_value)\\nprint(index)\", \"a = int(input())\\ns = set([a])\\n\\nfor i in range(10**6):\\n\\tif a % 2 == 0:\\n\\t\\t# print(\\\"Process for even.\\\")\\n\\t\\ta = a//2\\n\\telse:\\n\\t\\t# print(\\\"Process for odd.\\\")\\n\\t\\ta = 3*a + 1\\n\\tif a not in s:\\n\\t\\ts.add(a)\\n\\telse:\\n\\t\\tprint((i+2))\\n\\t\\tbreak\\n\", \"def f(n):\\n\\tif n % 2 == 0:\\n\\t\\treturn n / 2\\n\\telse:\\n\\t\\treturn 3 * n + 1\\n\\t\\t\\ns = int(input())\\n\\na = []\\nfor i in range(1000000):\\n\\tif i == 0:\\n\\t\\ta.append(s)\\n\\telse:\\n\\t\\tif f(a[-1]) in a:\\n\\t\\t\\tprint(i+1)\\n\\t\\t\\tbreak\\n\\t\\telse:\\n\\t\\t\\ta.append(f(a[-1]))\", \"s = int(input())\\nvisited = [False]*(10**6+1)\\n\\nvisited[s] = True\\ncnt = 1\\n\\nwhile True:\\n    if s & 1:\\n        s = s * 3 + 1\\n    else:\\n        s //= 2\\n    \\n    cnt += 1\\n\\n    if visited[s]:\\n        print(cnt)\\n        break\\n\\n    visited[s] = True\", \"s = int(input())\\na = [s]\\nfor i in range(1, 1000001):\\n    if a[i-1]%2 == 0:\\n        x = a[i-1]//2\\n        if x in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(x)\\n    else:\\n        y = a[i-1]*3 + 1\\n        if y in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(y)\", \"from sys import stdin\\n\\ns = int(stdin.readline().strip())\\nmem = []\\na = s\\n\\nfor i in range(1000000):\\n  if a in mem:\\n    print(i+1)\\n    return\\n  mem.append(a)\\n  if a % 2 == 0: a = a // 2\\n  else: a = 3 * a + 1\"]",
        "difficulty": "introductory",
        "input": "7\n",
        "output": "18\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc116/tasks/abc116_b"
    },
    {
        "id": 479,
        "task_id": 4311,
        "test_case_id": 3,
        "question": "A sequence a=\\{a_1,a_2,a_3,......\\} is determined as follows:\n - The first term s is given as input.\n - Let f(n) be the following function: f(n) = n/2 if n is even, and f(n) = 3n+1 if n is odd.\n - a_i = s when i = 1, and a_i = f(a_{i-1}) when i > 1.\nFind the minimum integer m that satisfies the following condition:\n - There exists an integer n such that a_m = a_n (m > n).\n\n-----Constraints-----\n - 1 \\leq s \\leq 100\n - All values in input are integers.\n - It is guaranteed that all elements in a and the minimum m that satisfies the condition are at most 1000000.\n\n-----Input-----\nInput is given from Standard Input in the following format:\ns\n\n-----Output-----\nPrint the minimum integer m that satisfies the condition.\n\n-----Sample Input-----\n8\n\n-----Sample Output-----\n5\n\na=\\{8,4,2,1,4,2,1,4,2,1,......\\}. As a_5=a_2, the answer is 5.",
        "solutions": "[\"from collections import defaultdict\\n\\nd = defaultdict(bool)\\n\\nn = int(input())\\nfor i in range(1000000):\\n\\n    if d[n]:\\n        print((i + 1))\\n        return\\n    d[n] = True\\n    if n & 1:\\n        n = n * 3 + 1\\n    else:\\n        n >>= 1\\n\", \"a=int(input())\\nb=[]\\nb.append(a)\\nwhile True:\\n    if a%2==0:\\n        a=a/2\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\\n    elif a%2!=0:\\n        a=3*a+1\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\", \"s = int(input())\\na = s\\nc = 0\\nif a == 1 or a == 2:\\n  ans = 4\\nelse:\\n  while a != 1:\\n    if a%2 == 0:\\n      a = int(a/2)\\n      c += 1\\n    else:\\n      a = int(3*a+1)\\n      c += 1\\n  ans = c+2\\nprint(ans)\", \"s = int(input())\\nans = [0]*1000001\\ncnt = 1\\n\\nwhile True:\\n    if ans[s] == 0:\\n        ans[s] += 1\\n\\n        if s%2 == 0:\\n            s = s//2\\n        else:\\n            s = 3*s+1\\n        cnt += 1\\n\\n    if ans[s] != 0:\\n        print(cnt)\\n        return\\n\\n\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n\\nprint(i)\", \"n=int(input())\\nli = []\\nwhile not n in li:\\n  li.append(n)\\n  if n % 2 == 0:\\n    n //= 2\\n  else:\\n    n = n * 3 + 1\\n  \\nprint(len(li)+1)\", \"s = int(input())\\n\\nlst = [s]\\nprev = s\\nfor m in range(2, 1000001):\\n    if prev % 2 == 0:\\n        i = int(prev / 2)\\n    else:\\n        i = 3 * prev + 1\\n    if i in lst:\\n        print(m)\\n        break\\n    lst.append(i)\\n    prev = i\", \"s = int(input())\\na = [s]\\nwhile True:\\n  if a.count(a[-1]) == 2:\\n    print(len(a))\\n    return\\n  if a[-1]%2 == 0:\\n    a.append(a[-1]/2)\\n  else:\\n    a.append(3*a[-1]+1)\", \"n = int(input())\\nc = 0\\nx = []\\nwhile True:\\n    c+=1\\n    if n in x:\\n        print(c)\\n        break\\n    x.append(n)\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\", \"n=int(input())\\na=[n]\\ncnt=1\\nwhile len(set(a))==len(a):\\n    if n%2==0: \\n        n//=2\\n    else:\\n        n=3*n+1\\n    a.append(n)\\n    cnt+=1\\nprint(cnt)\\n\", \"s=int(input())\\na=[0]*10**6\\na[0]=s\\n\\ndef f(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x+1\\nt=0 \\nwhile f(a[t])>0:\\n  p=f(a[t])\\n  if p in a:\\n    print((t+2))\\n    return\\n  a[t+1]=p\\n  t+=1\\n\", \"def func(n: int) -> int:\\n    return n // 2 if n % 2 == 0 else n * 3 + 1\\n\\n\\ndef answer(s: int) -> int:\\n    sequence_a = [s]\\n    while True:\\n        num = func(sequence_a[-1])\\n        if num in sequence_a:\\n            return len(sequence_a) + 1\\n        sequence_a.append(num)\\n\\n\\ndef main():\\n    s = int(input())\\n    print((answer(s)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\ndef f(n):\\n    if n % 2 == 0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\ns = k()\\nnum.append(s)\\nwhile True:\\n    cnt += 1\\n    s = f(s)\\n    if s in num:\\n        print((cnt+1))\\n        return\\n    else:\\n        num.append(s)\\n        \\n\\n\\n\", \"s = int(input())\\nTMP = [s]\\n\\nif s==1 or s==2:\\n    print(4)\\nelse:\\n    while TMP[-1]!=1:\\n        if TMP[-1] % 2 == 0:\\n            TMP.append(TMP[-1]//2)\\n        elif TMP[-1] % 2 != 0:\\n            TMP.append(3 * TMP[-1] + 1)\\n    print(len(TMP)+1)\", \"s = int(input())\\nl = []\\ndef myfunc(x):\\n  if x%2 == 0:\\n    x = x//2\\n  else:\\n    x = 3*x + 1\\n  return x\\nfor i in range(10**6):\\n  l.append(s)\\n  s = myfunc(s)\\n  if s in l:\\n    print(i+2)\\n    break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    # \\u524d\\u56de\\u306e\\u5024\\u306b\\u3088\\u3063\\u3066\\u8a08\\u7b97\\u3092\\u5909\\u3048\\u308b\\u3002\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    # \\u6570\\u5217\\u306b\\u540c\\u3058\\u5024\\u304c\\u542b\\u307e\\u308c\\u3066\\u3044\\u308b\\u304b\\u3069\\u3046\\u304b\\uff1f\\n    if n in a:\\n\\t  \\t# \\u914d\\u5217\\u304c0\\u304b\\u3089\\u59cb\\u307e\\u308b\\u305f\\u3081\\u3001\\u30ab\\u30a6\\u30f3\\u30c8\\u30a2\\u30c3\\u30d7\\u3002\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s=int(input())\\ncol=[]\\na=s\\ncount=1\\nwhile True:\\n  col.append(a) \\n  if a%2==0:\\n    a=a/2\\n  else:\\n    a=a*3+1\\n  if a in col:\\n    print(count+1)\\n    break\\n  count+=1\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = []\\nans.append(s)\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"def main():\\n    def f(n):\\n        return 3 * n + 1 if n % 2 else n // 2\\n    s = int(input())\\n    a = [s]\\n    for i in range(1, 11**6):\\n        x = f(a[i-1])\\n        if x in a:\\n            return len(a) + 1; return\\n        a.append(x)\\n\\n\\nprint(main())\", \"s=int(input())\\na=[]\\nans=1\\nwhile True:\\n  a.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  ans+=1\\n  if s in a:\\n    print(ans)\\n    break\", \"s = int(input())\\nli = []\\nli.append(s)\\n\\nfor i in range(1,1000000000):\\n    if li[i-1] % 2 == 0:\\n        li.append(li[i-1]//2)\\n    else:\\n        li.append(li[i-1]*3+1)\\n\\n    for j in range(len(li)-1):\\n        if li[j] ==li[i]:\\n            print((i+1))\\n            return\\n\", \"s = int(input())\\na = [s]\\nb = 1\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = 3 * s + 1\\n    if s in a:\\n        print(len(a) + 1)\\n        return\\n    a.append(s)\", \"s = int(input())\\nL = []\\nfor c in range(2 , 10 ** 6 + 1):\\n  L.append(s)\\n  if s % 2 == 0:\\n    s = s // 2\\n  elif s % 2 == 1:\\n    s = s * 3 + 1\\n  if s in L:\\n    break\\nprint(c)\", \"s = int(input())\\n\\nif s == 1 or s == 2:\\n    print(4)\\n    return\\n\\ndef function(n):\\n    if n % 2 == 0:\\n        return int(n/2)\\n    else:\\n        return int(n*3+1)\\ni = 0\\ncount = 0\\na = []\\na.append(s)\\nwhile count < 2:\\n    a.append(function(a[i]))\\n    if a[i] == 4:\\n        count += 1\\n    i += 1\\nprint(i)\", \"n=int(input())\\nl=[n]\\nwhile True:\\n    if n%2==0:\\n        n//=2\\n    else:\\n        n=n*3+1\\n    if n in l:\\n        break\\n    else:\\n        l.append(n)\\nprint((len(l)+1))\\n\", \"s = int(input())\\nlist_a = [None]\\nlist_a.append(s)\\nans = 0\\nfor i in range(1, 10 ** 6 + 1):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] // 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n    if list_a[i] in list_a[:i]:\\n        ans = i\\n        break\\nprint(ans)\", \"s = int(input())\\nS = [str(s)]\\ni = 1\\nwhile True:\\n    if s % 2 == 0:\\n        i += 1\\n        s = s//2\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\n    else:\\n        i += 1\\n        s = int(3 * s + 1)\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\npass\\n\", \"import sys\\nimport copy\\ns = int(input())\\n\\ndef f(n):\\n    if n%2==0:\\n        return int(n/2)\\n    else:\\n        return 3*n+1\\n\\nfor i in range(1000000):\\n    if i == 0:\\n        a=[s]\\n    else:\\n        a.append(f(a[i-1]))\\n    \\n    if a.count(a[i]) == 2:\\n        print((i+1))\\n        return\\n\", \"# import math\\n# import statistics\\na=int(input())\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\n# e1,e2 = map(int,input().split())\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\n\\nda=True\\nap=[a]\\ncount=1\\nwhile da:\\n    if a%2==0:\\n        a=a//2\\n        ap.append(a)\\n    elif a%2==1:\\n        a=3*a+1\\n        ap.append(a)\\n    count+=1\\n    if len(set(ap))<len(ap):\\n        print(count)\\n        da=False\\n\", \"a = int(input())\\n \\ndic = {}\\ndic[a] = 1\\n\\ni = 1\\nwhile True:\\n  i += 1\\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n    \\n  if a in dic: break\\n  dic[a] = 1\\n  \\nprint(i)\", \"s = int(input())\\n\\nif s < 3:\\n  print(4)\\n  return\\n\\ncnt = 1\\nval = s\\nwhile True:\\n  if cnt > 1 and val == 1:\\n    break\\n  \\n  if val % 2 == 0:\\n    val = val//2\\n  else:\\n    val = val*3+1\\n    \\n  cnt += 1\\n             \\nprint(cnt+1)\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = [s]\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"n = int(input())\\na = [n]\\nindex = 0\\n\\nfor i in range(1, 1000000):\\n    if a[i - 1] % 2 == 0:\\n        m = a[i - 1] / 2\\n    else:\\n        m = 3 * a[i - 1] + 1\\n    if m in a:\\n        index = i + 1\\n        break\\n    a.append(m)\\nprint(index)\", \"s = int(input())\\n\\nmax_ = 1000000\\nchk = [0]*max_\\na = s\\ni = 1\\nwhile i <= max_:\\n    if chk[a] == 0:\\n        chk[a] += 1\\n    else:\\n        print(i)\\n        return\\n    if a%2 == 0:\\n        a = int(a/2)\\n    else:\\n        a = 3*a + 1\\n    i += 1\\n\", \"s = int(input())\\n\\nA = [s]\\nidx = 1\\nwhile True:\\n    n = A[idx-1]\\n    if n % 2:\\n        f = 3*n + 1\\n    else:\\n        f = n / 2\\n    idx += 1\\n    A.append(f)\\n    if len(A) != len(set(A)):\\n        break\\nprint(idx)\", \"s = int(input())\\n\\ncount = 1\\nn = s\\ncheck = 0\\nlist = [s]\\n\\n\\nfor i in range(30000):\\n        if n % 2 == 0:\\n            n = n / 2\\n            list.append(n)\\n        else:\\n            n = n*3 + 1\\n            list.append(n)\\n        \\n        count = count + 1\\n        list.sort()\\n        for j in range(len(list) - 1):\\n            if list[j] ==list[j+1]:\\n                check = 1\\n                break\\n            \\n        if check == 1:\\n            break\\n        \\n\\n\\nprint(count)\\n\\n\", \"S = int(input())\\ns, c = S, 1\\nresult = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    elif s % 2 == 1:\\n        s = s * 3 + 1\\n\\n    result.append(s)\\n    c += 1\\n    if len(set(result)) < len(result):\\n        break\\n\\nprint(c)\", \"#-*-coding:utf-8-*-\\nimport sys\\ninput=sys.stdin.readline\\n\\ndef func(n):\\n    ans =0\\n    if n%2==0:\\n        ans=n//2\\n    else:\\n        ans=3*n+1\\n    return ans\\n\\ndef main():\\n    s = int(input())\\n    dp=[s]\\n    counter=0\\n\\n    if s==1 or s==2:\\n        print(4)\\n        return\\n\\n    while counter < 1000001:\\n        n=dp.pop()\\n        tmp = func(n)\\n        dp.append(n)\\n        dp.append(tmp)\\n        counter+=1\\n        if tmp==4:\\n            print(dp.index(tmp)+4)\\n            break\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\nS = int(input())\\n\\na = [S]\\ncnt = 1\\nwhile True:\\n    if S%2 == 0:\\n        S /= 2\\n    else:\\n        S = 3*S + 1\\n    cnt += 1\\n    if S in a:\\n        break\\n    else:\\n        a.append(S)\\n\\nprint(cnt)\", \"s = int(input())\\n\\nnum_lists = [s]\\ncnt = 1\\nwhile True:\\n    if (num_lists[-1])%2 == 0:\\n        tmp = num_lists[-1]/2\\n    else:\\n        tmp =(num_lists[-1]*3)+1\\n    cnt += 1\\n    if tmp in num_lists:\\n        ans = cnt\\n        break\\n    else:\\n        num_lists.append(tmp)\\n\\nprint(ans)\", \"import sys\\ns=int(input())\\n\\ncnt=0\\n\\nif s==1 or s==2:\\n  print('4')\\n  return\\n\\nwhile s!=4:\\n  if s%2!=0:\\n    s=3*s+1\\n    cnt+=1\\n  elif s%2==0:\\n    s=s//2\\n    cnt+=1\\n\\nif s==4:\\n  print(cnt+4)\", \"s=int(input())\\na=[]\\nna=[]\\na.append(s)\\nfor i in range(1,10**6):\\n    if a[i-1]%2==0:\\n        a.append(a[i-1]/2)\\n    else:\\n        a.append(a[i-1]*3+1)\\n    na=set(a)\\n    if len(na)!=i+1:\\n        print(i+1)\\n        return\", \"s = int(input())\\n\\na = []\\na.append(s)\\nfor i in range(1000000):\\n  if a[i]%2 == 0:\\n    a.append(a[i] // 2)\\n  else:\\n    a.append(3*a[i] + 1)\\n  for j in range(i-1):\\n    if a[i+1] == a[j]:\\n      print(len(a))\\n      return\", \"s = int(input())\\ndef p(n):\\n    if n%2 ==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\nl = [s]\\ncnt = 1\\nwhile True:\\n    cnt +=1\\n    s = p(s)\\n    if s in l:\\n        print(cnt)\\n        return\\n    else:\\n        l.append(s)\", \"s = int (input ())\\nl = []\\na = 0\\nl.append (s)\\nfor i in range (1000000):\\n  a += 1\\n  if s%2 == 0:\\n    s = round(s/2)\\n  else:\\n    s = s*3+1\\n  if l.count (s) != 0:\\n    print (a+1)\\n    break\\n  else:\\n    l.append (s)\", \"s = int(input())\\n\\n\\nclass Solution:\\n    def __init__(self,s):\\n        self.s = s\\n    \\n    def function_a(self):\\n        if self.s % 2 == 0:\\n            return self.s / 2\\n        else:\\n            return 3 * self.s + 1\\n    \\n    def answer(self):\\n        list_a = [self.s]\\n        self.s = self.function_a()\\n        ans = 2\\n        while self.s not in list_a:\\n            list_a.append(self.s)\\n            self.s = self.function_a()\\n            ans += 1\\n        print(ans)\\n\\n\\nconditon = Solution(s)\\nconditon.answer()\", \"S = int(input())\\nl = []\\n\\nwhile S not in l:\\n    l.append(S)\\n    if S%2 == 0:\\n        S //=2\\n    else:\\n        S = 3*S + 1\\nprint((len(l)+1))\\n\", \"s = int(input())\\nS = {s}\\ni = 1\\nwhile True:\\n  i += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    break\\n  S.add(s)\\nprint(i)\", \"s = int(input())\\n\\nbox = set()\\nbox.add(s)\\n\\nfor i in range(2, 1000000):\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = s * 3 + 1\\n  if s in box:\\n    print(i)\\n    return\\n  else:\\n    box.add(s)\\n\", \"s = int(input())\\n\\ndef collatz(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\ncoll = s\\ni = 1\\nwhile 1:\\n    if coll == 1 or coll == 2 or coll == 4:\\n        print(i  + 3)\\n        break\\n    coll = collatz(coll)\\n    i += 1\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n  \\nprint(i)\", \"S=int(input())\\n\\na=[S]\\ntemp=S\\n\\ni=0\\n\\nwhile i<200:\\n\\ti+=1\\n\\tif temp%2==0:\\n\\t\\ta.append(temp//2)\\n\\telse:\\n\\t\\ta.append(temp*3+1)\\n\\ttemp=a[-1]\\n\\nfor n in range(200):\\n\\tfor m in range(n+1,200):\\n\\t\\tif a[n]==a[m]:\\n\\t\\t\\tprint(m+1)\\n\\t\\t\\treturn\", \"s=int(input())\\n\\na_list=[s]\\n\\n\\na=s\\nwhile True:\\n    \\n    if a%2==0:\\n        a=a//2\\n    else:\\n        a=3*a+1\\n    \\n    if a in a_list:\\n        break\\n    else:\\n        a_list.append(a)\\n\\nans=len(a_list)+1\\n\\nprint(ans)\", \"s = int(input())\\na = [s]\\n\\ndef func(n):\\n  if n % 2 == 0:\\n    a.append(n//2)\\n  elif n % 2 == 1:\\n    a.append(3*n + 1)\\n  \\ni = 1\\nwhile True:\\n  func(a[-1])\\n  i += 1\\n  if a.count(a[-1]) == 2:\\n    break\\n  else:\\n    pass\\n\\n\\nprint(i)\", \"def f(n):\\n    if n % 2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\n\\ns = int(input())\\ncnt = 0\\na = [s]\\nwhile True:\\n\\n    temp = f(a[cnt])\\n\\n    if temp in a:\\n        print((len(a)+1))\\n        return\\n    a.append(temp)\\n    cnt += 1\\n\", \"s = int(input())\\n\\ndef f(x):\\n    if x%2 == 0:\\n        return int(x/2)\\n    else:\\n        return 3*x + 1\\ni = 1\\nm_max = 1000000\\nb_s = s\\nb = set([s])\\nwhile i <= m_max:\\n    i += 1\\n    a = f(b_s)\\n    if a in b:\\n        break\\n    b.add(a)\\n    b_s = a\\nprint(i)\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"s = int(input())\\na = [s]\\nans = 0\\nfor i in range(1000000):\\n    if a[i] % 2 == 0:\\n        if a[i]/2 in a:\\n            ans = i + 2\\n            break\\n        a.append(a[i]/2)\\n    else:\\n        if 3*a[i] + 1 in a:\\n            ans = i + 2\\n            break\\n        a.append(3*a[i] + 1)\\nprint(ans)\", \"n = int(input())\\nc = 1\\nx = []\\nx.append(n)\\nwhile True:\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\\n    c+=1\\n    if n in x:\\n        break\\n    x.append(n)\\nprint(c)\", \"import sys\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    S = int(input())\\n\\n    x = set()\\n    x.add(S)\\n\\n    i = 1\\n    prev = S\\n    while True:\\n        i += 1\\n        if prev % 2 == 0:\\n            prev = prev // 2\\n        else:\\n            prev = prev * 3 + 1\\n\\n        if prev in x:\\n            print(i)\\n            return\\n\\n        x.add(prev)\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"s = int(input())\\narr = []\\nans = 0\\ndef calc(n, cnt):\\n    arr.append(n)\\n\\n    if cnt >= 1000000:\\n        return n\\n\\n    if n % 2 == 0:\\n        n = int(n / 2)\\n    else:\\n        n = int(3 * n + 1)\\n\\n    if n in arr:\\n        return cnt\\n\\n    cnt += 1\\n    calc(n, cnt)\\ncalc(s, 0)\\nprint((len(arr) + 1))\\n\", \"def func(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x + 1\\nA = [True for i in range(1000001)]\\nN = int(input())\\ncount = 1\\nwhile A[N]:\\n  A[N] = False\\n  N = func(N)\\n  count += 1\\nprint(count)\", \"a = [int(input())]\\n\\ni = 0\\nwhile True:\\n    if a[i]%2 == 0:\\n        a.append(int(a[i]/2))\\n    else:\\n        a.append(int((3*a[i])+1))\\n    if a.count(a[i]) == 2:\\n        break\\n    i += 1\\n\\nprint(i+1)\", \"s = int(input())\\nlist_a = [s]\\n\\nif s % 2 == 0:\\n    s = s / 2\\nelse:\\n    s = 3 * s + 1\\n    \\ncurrent = 2\\nwhile s not in list_a:\\n    list_a.append(s)\\n    if s % 2 == 0:\\n        s = s / 2\\n    else:\\n        s = 3 * s + 1\\n    current += 1\\n\\nprint(current)\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"s=int(input())\\n\\nans=1\\ns_st=set()\\nwhile s not in s_st:\\n  s_st.add(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=3*s+1\\n  ans+=1\\n\\nprint(ans)\", \"import sys\\ns = int(input())\\nf = [0 for _ in range(1000005)]\\nf[s] = 1\\nn = s\\nfor i in range(1000005):\\n  if(n%2==0):\\n    n = int(n/2)\\n  else:\\n    n = int(3*n + 1)\\n  if(f[n] == 1):\\n    print(i+2)\\n    return\\n  else:\\n    f[n] = 1\", \"s = int(input())\\n\\nsec = [s]\\ncount = 1\\nwhile(s):\\n  if sec[-1]%2 == 0:\\n    sec.append(sec[-1]/2)\\n  else:\\n    sec.append(3*sec[-1]+1)\\n  count+=1\\n    \\n  if sec[-1] in sec[:-1]:\\n    print(count)\\n    break\", \"s = int(input())\\nline = [0 for i in range(1000001)]\\nans = 1\\nline[s] += 1\\nwhile True:\\n  ans += 1\\n  if s % 2 == 0:\\n    s = int(s/2)\\n  else:\\n    s = 3*s + 1\\n  line[s] += 1\\n  if line[s] > 1:\\n    break\\nprint(ans)\", \"a = int(input())\\nl = [a]\\nfor i in range(1000000):\\n  if a % 2 == 0:\\n    a = a//2\\n  else:\\n    a = a*3 + 1\\n  if l.count(a)==2:\\n    print((1+max([i for i, x in enumerate(l) if x == a])))\\n    break\\n  else:\\n    l.append(a)\\n\", \"s = int(input())\\na = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = s * 3 + 1\\n    a.append(s)\\n    if a.count(s) == 2:\\n        print(len(a))\\n        break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    if n in a:\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s = int(input())\\na = [s]\\ni = 1\\nwhile True:\\n  if s % 2 == 0:\\n    s = s // 2\\n  else:\\n    s = 3 * s + 1\\n  if s in a:\\n    print(len(a) + 1)\\n    break\\n  a.append(s)\", \"s=int(input())\\ncnt = 1\\nS = [s]\\nwhile(1):\\n  cnt += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    print(cnt)\\n    break\\n  S.append(s)\\n\", \"def readinput():\\n    s=int(input())\\n    return s\\n\\ndef main(s):\\n    hist=[0]*1000001\\n    i=1\\n    n=s\\n    hist[n]+=1\\n    while hist[n]<=1:\\n        if n%2==0:\\n            n=n//2\\n        else:\\n            n=3*n+1\\n        i+=1\\n        hist[n]+=1\\n    return i\\n\\ndef __starting_point():\\n    s=readinput()\\n    ans=main(s)\\n    print(ans)\\n\\n__starting_point()\", \"s = int(input())\\n\\nmp = [False]*(10**6+1)\\ndef even_f(n):\\n    return n//2\\n\\ndef odd_f(n):\\n    return 3*n+1\\n\\nmp[s]=True\\nnow = s\\nfor i in range(1,10**6+1):\\n    if(now%2==0):\\n        now = even_f(now)\\n    else:\\n        now = odd_f(now)\\n\\n    if(mp[now]):\\n        savei=i\\n        break\\n    mp[now]=True\\n\\nprint((savei+1))\\n        \\n\", \"s = int(input())\\nans = [s]\\ni = 1\\nif s == 1 or s == 2:\\n    ans = 4\\nelse:\\n    while ans[i-1] != 4:\\n        if ans[i-1] % 2 ==0:\\n            ans.append(ans[i-1]//2)\\n        else:\\n            ans.append(ans[i-1]*3 + 1 )\\n        i += 1\\n    ans = i + 3\\nprint(ans)\", \"import sys\\n\\n\\ndef input(): return sys.stdin.readline().strip()\\ndef I(): return int(input())\\ndef LI(): return list(map(int, input().split()))\\ndef IR(n): return [I() for i in range(n)]\\ndef LIR(n): return [LI() for i in range(n)]\\ndef SR(n): return [S() for i in range(n)]\\ndef S(): return input()\\ndef LS(): return input().split()\\n\\n\\nINF = float('inf')\\n\\ns = I()\\nvs = set()\\nvs.add(s)\\nnow = 0 + s\\ni = 1\\nwhile True:\\n    i += 1\\n    now = now / 2 if now % 2 == 0 else 3*now + 1\\n    if now in vs:\\n        break\\n    else:\\n        vs.add(now)\\n\\nprint(i)\\n\", \"s = int(input())\\nlist_a = [s]\\n\\nfor i in range(1000000):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] / 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n        \\nfor index, ai in enumerate(list_a, 1):\\n    if ai in list_a[:index - 1]:\\n        print(index)\\n        break\\n\", \"\\nurl = \\\"https://atcoder.jp//contests/abc116/tasks/abc116_b\\\"\\n\\ndef calc(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\n\\ndef main():\\n    s = int(input())\\n    ans = [s]\\n    while True:\\n        tmp = calc(ans[-1])\\n        ans.append(tmp)\\n        if ans.index(tmp) != len(ans)-1:\\n            print((len(ans)))\\n            break\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"s=int(input())\\nL=[]\\nn=1\\nwhile not s in L:\\n  L.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  n+=1\\nprint(n)\", \"n = int(input())\\ndata =[0]* 1000000\\ndata[0] = n\\ni = 2\\nif n % 2 == 0:\\n    data[1] = n //2\\nelse:\\n    data[1] = 3 * n + 1\\nwhile data[i - 1] not in data[0: i -2]:\\n    if data[i-1] % 2 == 0:\\n            data[i] = data[i - 1]//2\\n    else:\\n            data[i] = 3 * data[i - 1] + 1\\n    i += 1\\nprint(i)\", \"s=int(input())\\nG =[]\\nwhile (s not in G):\\n  G.append(s)\\n  if s % 2==0:\\n    s = int(s//2)\\n  else:\\n    s = int(3*s+1)\\nprint(len(G)+1)\", \"s = int(input())\\nl = [s]\\na = set(l)\\nfor i in range(10**6):\\n  if l[-1] % 2 == 0:\\n    n = l[-1] // 2\\n  else:\\n    n = 3*l[-1] + 1\\n  if n not in a:\\n    a.add(n)\\n    l.append(n)\\n  else:\\n    print(len(l)+1)\\n    break\", \"a=int(input())\\ns=set()\\ni=1\\nwhile True:\\n    if a in s:\\n        print(i)\\n        break\\n    s|={a}\\n    if a%2==0:\\n        a>>=1\\n    else:\\n        a=3*a+1\\n    i+=1\\n\", \"s = int(input())\\n\\ndef f(n):\\n    if n%2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\nx = set()\\nans = 0\\nwhile True:\\n    ans += 1\\n    if s in x:\\n        print(ans)\\n        break\\n    x.add(s)\\n    s = f(s)\", \"a=int(input())\\ni=1\\nli=[a]\\nimport copy\\nwhile True:\\n    if li[i-1]%2==0:\\n        b=li[i-1]//2\\n    else:\\n        b=3*li[i-1]+1\\n    if b in li:\\n        print((i+1))\\n        return\\n    li.append(b)\\n    i+=1\\n        \\n\", \"s=int(input())\\ndef f(n):\\n    if n%2==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\na=[0]*(10**8)\\na[s]=1\\ncnt=1\\nfor _ in range(10**7):\\n    s=f(s)\\n    cnt+=1\\n    if a[s]:\\n        print(cnt)\\n        break\\n    a[s]=1\\n\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"n = int(input())\\n\\ndp = [True]*(n*1000000)\\ndp[n] = False\\nres =1\\nwhile n <1000001:\\n    res +=1\\n    if n % 2 ==1:\\n        n = n*3+1\\n    else:\\n        n = n//2\\n    \\n    if dp[n]:\\n        dp[n] = False\\n    else:\\n        print(res)\\n        return\", \"s = int(input())\\n\\na = [0]*(10**6+1)\\nc = [0]*(10**6+1)\\na[1] = s\\nc[s] = 1\\nfor i in range(2, 10**6+1):\\n    v = a[i-1]//2 if a[i-1] % 2 == 0 else 3*a[i-1]+1\\n    a[i] = v\\n    if c[v] == 1:\\n        print(i)\\n        return\\n    c[v] = 1\", \"S = int(input())\\narray = []\\narray.append(S)\\n\\nwhile True:\\n  count = 0\\n  if S % 2 == 0:\\n    S = S / 2\\n    array.append(S)\\n  else:\\n    S = 3 * S + 1\\n    array.append(S)\\n  for i in range(len(array)):\\n    if S == array[i]:\\n      count += 1\\n      if count == 2:\\n        print((i + 1))\\n        return\\n\", \"a=int(input())\\nb=0\\nif a==2:\\n  print(4)\\nelif a==1:\\n  print(4)\\nelse:\\n  while a!=4:\\n    if a%2==0:\\n      a=a//2\\n      b=b+1\\n    else:\\n      a=3*a+1\\n      b=b+1\\n  print(b+4)\", \"s = int(input())\\n\\nans_list = [s]\\ncurr_value = s\\nindex = 1\\nwhile(True):\\n    if curr_value%2==0:\\n        curr_value = int(curr_value/2)\\n    else:\\n        curr_value = 3*curr_value + 1\\n    index += 1\\n    if curr_value in ans_list:\\n        break\\n    else:\\n        ans_list.append(curr_value)\\nprint(index)\", \"a = int(input())\\ns = set([a])\\n\\nfor i in range(10**6):\\n\\tif a % 2 == 0:\\n\\t\\t# print(\\\"Process for even.\\\")\\n\\t\\ta = a//2\\n\\telse:\\n\\t\\t# print(\\\"Process for odd.\\\")\\n\\t\\ta = 3*a + 1\\n\\tif a not in s:\\n\\t\\ts.add(a)\\n\\telse:\\n\\t\\tprint((i+2))\\n\\t\\tbreak\\n\", \"def f(n):\\n\\tif n % 2 == 0:\\n\\t\\treturn n / 2\\n\\telse:\\n\\t\\treturn 3 * n + 1\\n\\t\\t\\ns = int(input())\\n\\na = []\\nfor i in range(1000000):\\n\\tif i == 0:\\n\\t\\ta.append(s)\\n\\telse:\\n\\t\\tif f(a[-1]) in a:\\n\\t\\t\\tprint(i+1)\\n\\t\\t\\tbreak\\n\\t\\telse:\\n\\t\\t\\ta.append(f(a[-1]))\", \"s = int(input())\\nvisited = [False]*(10**6+1)\\n\\nvisited[s] = True\\ncnt = 1\\n\\nwhile True:\\n    if s & 1:\\n        s = s * 3 + 1\\n    else:\\n        s //= 2\\n    \\n    cnt += 1\\n\\n    if visited[s]:\\n        print(cnt)\\n        break\\n\\n    visited[s] = True\", \"s = int(input())\\na = [s]\\nfor i in range(1, 1000001):\\n    if a[i-1]%2 == 0:\\n        x = a[i-1]//2\\n        if x in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(x)\\n    else:\\n        y = a[i-1]*3 + 1\\n        if y in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(y)\", \"from sys import stdin\\n\\ns = int(stdin.readline().strip())\\nmem = []\\na = s\\n\\nfor i in range(1000000):\\n  if a in mem:\\n    print(i+1)\\n    return\\n  mem.append(a)\\n  if a % 2 == 0: a = a // 2\\n  else: a = 3 * a + 1\"]",
        "difficulty": "introductory",
        "input": "54\n",
        "output": "114\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc116/tasks/abc116_b"
    },
    {
        "id": 480,
        "task_id": 4311,
        "test_case_id": 4,
        "question": "A sequence a=\\{a_1,a_2,a_3,......\\} is determined as follows:\n - The first term s is given as input.\n - Let f(n) be the following function: f(n) = n/2 if n is even, and f(n) = 3n+1 if n is odd.\n - a_i = s when i = 1, and a_i = f(a_{i-1}) when i > 1.\nFind the minimum integer m that satisfies the following condition:\n - There exists an integer n such that a_m = a_n (m > n).\n\n-----Constraints-----\n - 1 \\leq s \\leq 100\n - All values in input are integers.\n - It is guaranteed that all elements in a and the minimum m that satisfies the condition are at most 1000000.\n\n-----Input-----\nInput is given from Standard Input in the following format:\ns\n\n-----Output-----\nPrint the minimum integer m that satisfies the condition.\n\n-----Sample Input-----\n8\n\n-----Sample Output-----\n5\n\na=\\{8,4,2,1,4,2,1,4,2,1,......\\}. As a_5=a_2, the answer is 5.",
        "solutions": "[\"from collections import defaultdict\\n\\nd = defaultdict(bool)\\n\\nn = int(input())\\nfor i in range(1000000):\\n\\n    if d[n]:\\n        print((i + 1))\\n        return\\n    d[n] = True\\n    if n & 1:\\n        n = n * 3 + 1\\n    else:\\n        n >>= 1\\n\", \"a=int(input())\\nb=[]\\nb.append(a)\\nwhile True:\\n    if a%2==0:\\n        a=a/2\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\\n    elif a%2!=0:\\n        a=3*a+1\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\", \"s = int(input())\\na = s\\nc = 0\\nif a == 1 or a == 2:\\n  ans = 4\\nelse:\\n  while a != 1:\\n    if a%2 == 0:\\n      a = int(a/2)\\n      c += 1\\n    else:\\n      a = int(3*a+1)\\n      c += 1\\n  ans = c+2\\nprint(ans)\", \"s = int(input())\\nans = [0]*1000001\\ncnt = 1\\n\\nwhile True:\\n    if ans[s] == 0:\\n        ans[s] += 1\\n\\n        if s%2 == 0:\\n            s = s//2\\n        else:\\n            s = 3*s+1\\n        cnt += 1\\n\\n    if ans[s] != 0:\\n        print(cnt)\\n        return\\n\\n\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n\\nprint(i)\", \"n=int(input())\\nli = []\\nwhile not n in li:\\n  li.append(n)\\n  if n % 2 == 0:\\n    n //= 2\\n  else:\\n    n = n * 3 + 1\\n  \\nprint(len(li)+1)\", \"s = int(input())\\n\\nlst = [s]\\nprev = s\\nfor m in range(2, 1000001):\\n    if prev % 2 == 0:\\n        i = int(prev / 2)\\n    else:\\n        i = 3 * prev + 1\\n    if i in lst:\\n        print(m)\\n        break\\n    lst.append(i)\\n    prev = i\", \"s = int(input())\\na = [s]\\nwhile True:\\n  if a.count(a[-1]) == 2:\\n    print(len(a))\\n    return\\n  if a[-1]%2 == 0:\\n    a.append(a[-1]/2)\\n  else:\\n    a.append(3*a[-1]+1)\", \"n = int(input())\\nc = 0\\nx = []\\nwhile True:\\n    c+=1\\n    if n in x:\\n        print(c)\\n        break\\n    x.append(n)\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\", \"n=int(input())\\na=[n]\\ncnt=1\\nwhile len(set(a))==len(a):\\n    if n%2==0: \\n        n//=2\\n    else:\\n        n=3*n+1\\n    a.append(n)\\n    cnt+=1\\nprint(cnt)\\n\", \"s=int(input())\\na=[0]*10**6\\na[0]=s\\n\\ndef f(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x+1\\nt=0 \\nwhile f(a[t])>0:\\n  p=f(a[t])\\n  if p in a:\\n    print((t+2))\\n    return\\n  a[t+1]=p\\n  t+=1\\n\", \"def func(n: int) -> int:\\n    return n // 2 if n % 2 == 0 else n * 3 + 1\\n\\n\\ndef answer(s: int) -> int:\\n    sequence_a = [s]\\n    while True:\\n        num = func(sequence_a[-1])\\n        if num in sequence_a:\\n            return len(sequence_a) + 1\\n        sequence_a.append(num)\\n\\n\\ndef main():\\n    s = int(input())\\n    print((answer(s)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\ndef f(n):\\n    if n % 2 == 0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\ns = k()\\nnum.append(s)\\nwhile True:\\n    cnt += 1\\n    s = f(s)\\n    if s in num:\\n        print((cnt+1))\\n        return\\n    else:\\n        num.append(s)\\n        \\n\\n\\n\", \"s = int(input())\\nTMP = [s]\\n\\nif s==1 or s==2:\\n    print(4)\\nelse:\\n    while TMP[-1]!=1:\\n        if TMP[-1] % 2 == 0:\\n            TMP.append(TMP[-1]//2)\\n        elif TMP[-1] % 2 != 0:\\n            TMP.append(3 * TMP[-1] + 1)\\n    print(len(TMP)+1)\", \"s = int(input())\\nl = []\\ndef myfunc(x):\\n  if x%2 == 0:\\n    x = x//2\\n  else:\\n    x = 3*x + 1\\n  return x\\nfor i in range(10**6):\\n  l.append(s)\\n  s = myfunc(s)\\n  if s in l:\\n    print(i+2)\\n    break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    # \\u524d\\u56de\\u306e\\u5024\\u306b\\u3088\\u3063\\u3066\\u8a08\\u7b97\\u3092\\u5909\\u3048\\u308b\\u3002\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    # \\u6570\\u5217\\u306b\\u540c\\u3058\\u5024\\u304c\\u542b\\u307e\\u308c\\u3066\\u3044\\u308b\\u304b\\u3069\\u3046\\u304b\\uff1f\\n    if n in a:\\n\\t  \\t# \\u914d\\u5217\\u304c0\\u304b\\u3089\\u59cb\\u307e\\u308b\\u305f\\u3081\\u3001\\u30ab\\u30a6\\u30f3\\u30c8\\u30a2\\u30c3\\u30d7\\u3002\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s=int(input())\\ncol=[]\\na=s\\ncount=1\\nwhile True:\\n  col.append(a) \\n  if a%2==0:\\n    a=a/2\\n  else:\\n    a=a*3+1\\n  if a in col:\\n    print(count+1)\\n    break\\n  count+=1\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = []\\nans.append(s)\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"def main():\\n    def f(n):\\n        return 3 * n + 1 if n % 2 else n // 2\\n    s = int(input())\\n    a = [s]\\n    for i in range(1, 11**6):\\n        x = f(a[i-1])\\n        if x in a:\\n            return len(a) + 1; return\\n        a.append(x)\\n\\n\\nprint(main())\", \"s=int(input())\\na=[]\\nans=1\\nwhile True:\\n  a.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  ans+=1\\n  if s in a:\\n    print(ans)\\n    break\", \"s = int(input())\\nli = []\\nli.append(s)\\n\\nfor i in range(1,1000000000):\\n    if li[i-1] % 2 == 0:\\n        li.append(li[i-1]//2)\\n    else:\\n        li.append(li[i-1]*3+1)\\n\\n    for j in range(len(li)-1):\\n        if li[j] ==li[i]:\\n            print((i+1))\\n            return\\n\", \"s = int(input())\\na = [s]\\nb = 1\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = 3 * s + 1\\n    if s in a:\\n        print(len(a) + 1)\\n        return\\n    a.append(s)\", \"s = int(input())\\nL = []\\nfor c in range(2 , 10 ** 6 + 1):\\n  L.append(s)\\n  if s % 2 == 0:\\n    s = s // 2\\n  elif s % 2 == 1:\\n    s = s * 3 + 1\\n  if s in L:\\n    break\\nprint(c)\", \"s = int(input())\\n\\nif s == 1 or s == 2:\\n    print(4)\\n    return\\n\\ndef function(n):\\n    if n % 2 == 0:\\n        return int(n/2)\\n    else:\\n        return int(n*3+1)\\ni = 0\\ncount = 0\\na = []\\na.append(s)\\nwhile count < 2:\\n    a.append(function(a[i]))\\n    if a[i] == 4:\\n        count += 1\\n    i += 1\\nprint(i)\", \"n=int(input())\\nl=[n]\\nwhile True:\\n    if n%2==0:\\n        n//=2\\n    else:\\n        n=n*3+1\\n    if n in l:\\n        break\\n    else:\\n        l.append(n)\\nprint((len(l)+1))\\n\", \"s = int(input())\\nlist_a = [None]\\nlist_a.append(s)\\nans = 0\\nfor i in range(1, 10 ** 6 + 1):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] // 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n    if list_a[i] in list_a[:i]:\\n        ans = i\\n        break\\nprint(ans)\", \"s = int(input())\\nS = [str(s)]\\ni = 1\\nwhile True:\\n    if s % 2 == 0:\\n        i += 1\\n        s = s//2\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\n    else:\\n        i += 1\\n        s = int(3 * s + 1)\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\npass\\n\", \"import sys\\nimport copy\\ns = int(input())\\n\\ndef f(n):\\n    if n%2==0:\\n        return int(n/2)\\n    else:\\n        return 3*n+1\\n\\nfor i in range(1000000):\\n    if i == 0:\\n        a=[s]\\n    else:\\n        a.append(f(a[i-1]))\\n    \\n    if a.count(a[i]) == 2:\\n        print((i+1))\\n        return\\n\", \"# import math\\n# import statistics\\na=int(input())\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\n# e1,e2 = map(int,input().split())\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\n\\nda=True\\nap=[a]\\ncount=1\\nwhile da:\\n    if a%2==0:\\n        a=a//2\\n        ap.append(a)\\n    elif a%2==1:\\n        a=3*a+1\\n        ap.append(a)\\n    count+=1\\n    if len(set(ap))<len(ap):\\n        print(count)\\n        da=False\\n\", \"a = int(input())\\n \\ndic = {}\\ndic[a] = 1\\n\\ni = 1\\nwhile True:\\n  i += 1\\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n    \\n  if a in dic: break\\n  dic[a] = 1\\n  \\nprint(i)\", \"s = int(input())\\n\\nif s < 3:\\n  print(4)\\n  return\\n\\ncnt = 1\\nval = s\\nwhile True:\\n  if cnt > 1 and val == 1:\\n    break\\n  \\n  if val % 2 == 0:\\n    val = val//2\\n  else:\\n    val = val*3+1\\n    \\n  cnt += 1\\n             \\nprint(cnt+1)\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = [s]\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"n = int(input())\\na = [n]\\nindex = 0\\n\\nfor i in range(1, 1000000):\\n    if a[i - 1] % 2 == 0:\\n        m = a[i - 1] / 2\\n    else:\\n        m = 3 * a[i - 1] + 1\\n    if m in a:\\n        index = i + 1\\n        break\\n    a.append(m)\\nprint(index)\", \"s = int(input())\\n\\nmax_ = 1000000\\nchk = [0]*max_\\na = s\\ni = 1\\nwhile i <= max_:\\n    if chk[a] == 0:\\n        chk[a] += 1\\n    else:\\n        print(i)\\n        return\\n    if a%2 == 0:\\n        a = int(a/2)\\n    else:\\n        a = 3*a + 1\\n    i += 1\\n\", \"s = int(input())\\n\\nA = [s]\\nidx = 1\\nwhile True:\\n    n = A[idx-1]\\n    if n % 2:\\n        f = 3*n + 1\\n    else:\\n        f = n / 2\\n    idx += 1\\n    A.append(f)\\n    if len(A) != len(set(A)):\\n        break\\nprint(idx)\", \"s = int(input())\\n\\ncount = 1\\nn = s\\ncheck = 0\\nlist = [s]\\n\\n\\nfor i in range(30000):\\n        if n % 2 == 0:\\n            n = n / 2\\n            list.append(n)\\n        else:\\n            n = n*3 + 1\\n            list.append(n)\\n        \\n        count = count + 1\\n        list.sort()\\n        for j in range(len(list) - 1):\\n            if list[j] ==list[j+1]:\\n                check = 1\\n                break\\n            \\n        if check == 1:\\n            break\\n        \\n\\n\\nprint(count)\\n\\n\", \"S = int(input())\\ns, c = S, 1\\nresult = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    elif s % 2 == 1:\\n        s = s * 3 + 1\\n\\n    result.append(s)\\n    c += 1\\n    if len(set(result)) < len(result):\\n        break\\n\\nprint(c)\", \"#-*-coding:utf-8-*-\\nimport sys\\ninput=sys.stdin.readline\\n\\ndef func(n):\\n    ans =0\\n    if n%2==0:\\n        ans=n//2\\n    else:\\n        ans=3*n+1\\n    return ans\\n\\ndef main():\\n    s = int(input())\\n    dp=[s]\\n    counter=0\\n\\n    if s==1 or s==2:\\n        print(4)\\n        return\\n\\n    while counter < 1000001:\\n        n=dp.pop()\\n        tmp = func(n)\\n        dp.append(n)\\n        dp.append(tmp)\\n        counter+=1\\n        if tmp==4:\\n            print(dp.index(tmp)+4)\\n            break\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\nS = int(input())\\n\\na = [S]\\ncnt = 1\\nwhile True:\\n    if S%2 == 0:\\n        S /= 2\\n    else:\\n        S = 3*S + 1\\n    cnt += 1\\n    if S in a:\\n        break\\n    else:\\n        a.append(S)\\n\\nprint(cnt)\", \"s = int(input())\\n\\nnum_lists = [s]\\ncnt = 1\\nwhile True:\\n    if (num_lists[-1])%2 == 0:\\n        tmp = num_lists[-1]/2\\n    else:\\n        tmp =(num_lists[-1]*3)+1\\n    cnt += 1\\n    if tmp in num_lists:\\n        ans = cnt\\n        break\\n    else:\\n        num_lists.append(tmp)\\n\\nprint(ans)\", \"import sys\\ns=int(input())\\n\\ncnt=0\\n\\nif s==1 or s==2:\\n  print('4')\\n  return\\n\\nwhile s!=4:\\n  if s%2!=0:\\n    s=3*s+1\\n    cnt+=1\\n  elif s%2==0:\\n    s=s//2\\n    cnt+=1\\n\\nif s==4:\\n  print(cnt+4)\", \"s=int(input())\\na=[]\\nna=[]\\na.append(s)\\nfor i in range(1,10**6):\\n    if a[i-1]%2==0:\\n        a.append(a[i-1]/2)\\n    else:\\n        a.append(a[i-1]*3+1)\\n    na=set(a)\\n    if len(na)!=i+1:\\n        print(i+1)\\n        return\", \"s = int(input())\\n\\na = []\\na.append(s)\\nfor i in range(1000000):\\n  if a[i]%2 == 0:\\n    a.append(a[i] // 2)\\n  else:\\n    a.append(3*a[i] + 1)\\n  for j in range(i-1):\\n    if a[i+1] == a[j]:\\n      print(len(a))\\n      return\", \"s = int(input())\\ndef p(n):\\n    if n%2 ==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\nl = [s]\\ncnt = 1\\nwhile True:\\n    cnt +=1\\n    s = p(s)\\n    if s in l:\\n        print(cnt)\\n        return\\n    else:\\n        l.append(s)\", \"s = int (input ())\\nl = []\\na = 0\\nl.append (s)\\nfor i in range (1000000):\\n  a += 1\\n  if s%2 == 0:\\n    s = round(s/2)\\n  else:\\n    s = s*3+1\\n  if l.count (s) != 0:\\n    print (a+1)\\n    break\\n  else:\\n    l.append (s)\", \"s = int(input())\\n\\n\\nclass Solution:\\n    def __init__(self,s):\\n        self.s = s\\n    \\n    def function_a(self):\\n        if self.s % 2 == 0:\\n            return self.s / 2\\n        else:\\n            return 3 * self.s + 1\\n    \\n    def answer(self):\\n        list_a = [self.s]\\n        self.s = self.function_a()\\n        ans = 2\\n        while self.s not in list_a:\\n            list_a.append(self.s)\\n            self.s = self.function_a()\\n            ans += 1\\n        print(ans)\\n\\n\\nconditon = Solution(s)\\nconditon.answer()\", \"S = int(input())\\nl = []\\n\\nwhile S not in l:\\n    l.append(S)\\n    if S%2 == 0:\\n        S //=2\\n    else:\\n        S = 3*S + 1\\nprint((len(l)+1))\\n\", \"s = int(input())\\nS = {s}\\ni = 1\\nwhile True:\\n  i += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    break\\n  S.add(s)\\nprint(i)\", \"s = int(input())\\n\\nbox = set()\\nbox.add(s)\\n\\nfor i in range(2, 1000000):\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = s * 3 + 1\\n  if s in box:\\n    print(i)\\n    return\\n  else:\\n    box.add(s)\\n\", \"s = int(input())\\n\\ndef collatz(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\ncoll = s\\ni = 1\\nwhile 1:\\n    if coll == 1 or coll == 2 or coll == 4:\\n        print(i  + 3)\\n        break\\n    coll = collatz(coll)\\n    i += 1\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n  \\nprint(i)\", \"S=int(input())\\n\\na=[S]\\ntemp=S\\n\\ni=0\\n\\nwhile i<200:\\n\\ti+=1\\n\\tif temp%2==0:\\n\\t\\ta.append(temp//2)\\n\\telse:\\n\\t\\ta.append(temp*3+1)\\n\\ttemp=a[-1]\\n\\nfor n in range(200):\\n\\tfor m in range(n+1,200):\\n\\t\\tif a[n]==a[m]:\\n\\t\\t\\tprint(m+1)\\n\\t\\t\\treturn\", \"s=int(input())\\n\\na_list=[s]\\n\\n\\na=s\\nwhile True:\\n    \\n    if a%2==0:\\n        a=a//2\\n    else:\\n        a=3*a+1\\n    \\n    if a in a_list:\\n        break\\n    else:\\n        a_list.append(a)\\n\\nans=len(a_list)+1\\n\\nprint(ans)\", \"s = int(input())\\na = [s]\\n\\ndef func(n):\\n  if n % 2 == 0:\\n    a.append(n//2)\\n  elif n % 2 == 1:\\n    a.append(3*n + 1)\\n  \\ni = 1\\nwhile True:\\n  func(a[-1])\\n  i += 1\\n  if a.count(a[-1]) == 2:\\n    break\\n  else:\\n    pass\\n\\n\\nprint(i)\", \"def f(n):\\n    if n % 2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\n\\ns = int(input())\\ncnt = 0\\na = [s]\\nwhile True:\\n\\n    temp = f(a[cnt])\\n\\n    if temp in a:\\n        print((len(a)+1))\\n        return\\n    a.append(temp)\\n    cnt += 1\\n\", \"s = int(input())\\n\\ndef f(x):\\n    if x%2 == 0:\\n        return int(x/2)\\n    else:\\n        return 3*x + 1\\ni = 1\\nm_max = 1000000\\nb_s = s\\nb = set([s])\\nwhile i <= m_max:\\n    i += 1\\n    a = f(b_s)\\n    if a in b:\\n        break\\n    b.add(a)\\n    b_s = a\\nprint(i)\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"s = int(input())\\na = [s]\\nans = 0\\nfor i in range(1000000):\\n    if a[i] % 2 == 0:\\n        if a[i]/2 in a:\\n            ans = i + 2\\n            break\\n        a.append(a[i]/2)\\n    else:\\n        if 3*a[i] + 1 in a:\\n            ans = i + 2\\n            break\\n        a.append(3*a[i] + 1)\\nprint(ans)\", \"n = int(input())\\nc = 1\\nx = []\\nx.append(n)\\nwhile True:\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\\n    c+=1\\n    if n in x:\\n        break\\n    x.append(n)\\nprint(c)\", \"import sys\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    S = int(input())\\n\\n    x = set()\\n    x.add(S)\\n\\n    i = 1\\n    prev = S\\n    while True:\\n        i += 1\\n        if prev % 2 == 0:\\n            prev = prev // 2\\n        else:\\n            prev = prev * 3 + 1\\n\\n        if prev in x:\\n            print(i)\\n            return\\n\\n        x.add(prev)\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"s = int(input())\\narr = []\\nans = 0\\ndef calc(n, cnt):\\n    arr.append(n)\\n\\n    if cnt >= 1000000:\\n        return n\\n\\n    if n % 2 == 0:\\n        n = int(n / 2)\\n    else:\\n        n = int(3 * n + 1)\\n\\n    if n in arr:\\n        return cnt\\n\\n    cnt += 1\\n    calc(n, cnt)\\ncalc(s, 0)\\nprint((len(arr) + 1))\\n\", \"def func(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x + 1\\nA = [True for i in range(1000001)]\\nN = int(input())\\ncount = 1\\nwhile A[N]:\\n  A[N] = False\\n  N = func(N)\\n  count += 1\\nprint(count)\", \"a = [int(input())]\\n\\ni = 0\\nwhile True:\\n    if a[i]%2 == 0:\\n        a.append(int(a[i]/2))\\n    else:\\n        a.append(int((3*a[i])+1))\\n    if a.count(a[i]) == 2:\\n        break\\n    i += 1\\n\\nprint(i+1)\", \"s = int(input())\\nlist_a = [s]\\n\\nif s % 2 == 0:\\n    s = s / 2\\nelse:\\n    s = 3 * s + 1\\n    \\ncurrent = 2\\nwhile s not in list_a:\\n    list_a.append(s)\\n    if s % 2 == 0:\\n        s = s / 2\\n    else:\\n        s = 3 * s + 1\\n    current += 1\\n\\nprint(current)\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"s=int(input())\\n\\nans=1\\ns_st=set()\\nwhile s not in s_st:\\n  s_st.add(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=3*s+1\\n  ans+=1\\n\\nprint(ans)\", \"import sys\\ns = int(input())\\nf = [0 for _ in range(1000005)]\\nf[s] = 1\\nn = s\\nfor i in range(1000005):\\n  if(n%2==0):\\n    n = int(n/2)\\n  else:\\n    n = int(3*n + 1)\\n  if(f[n] == 1):\\n    print(i+2)\\n    return\\n  else:\\n    f[n] = 1\", \"s = int(input())\\n\\nsec = [s]\\ncount = 1\\nwhile(s):\\n  if sec[-1]%2 == 0:\\n    sec.append(sec[-1]/2)\\n  else:\\n    sec.append(3*sec[-1]+1)\\n  count+=1\\n    \\n  if sec[-1] in sec[:-1]:\\n    print(count)\\n    break\", \"s = int(input())\\nline = [0 for i in range(1000001)]\\nans = 1\\nline[s] += 1\\nwhile True:\\n  ans += 1\\n  if s % 2 == 0:\\n    s = int(s/2)\\n  else:\\n    s = 3*s + 1\\n  line[s] += 1\\n  if line[s] > 1:\\n    break\\nprint(ans)\", \"a = int(input())\\nl = [a]\\nfor i in range(1000000):\\n  if a % 2 == 0:\\n    a = a//2\\n  else:\\n    a = a*3 + 1\\n  if l.count(a)==2:\\n    print((1+max([i for i, x in enumerate(l) if x == a])))\\n    break\\n  else:\\n    l.append(a)\\n\", \"s = int(input())\\na = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = s * 3 + 1\\n    a.append(s)\\n    if a.count(s) == 2:\\n        print(len(a))\\n        break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    if n in a:\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s = int(input())\\na = [s]\\ni = 1\\nwhile True:\\n  if s % 2 == 0:\\n    s = s // 2\\n  else:\\n    s = 3 * s + 1\\n  if s in a:\\n    print(len(a) + 1)\\n    break\\n  a.append(s)\", \"s=int(input())\\ncnt = 1\\nS = [s]\\nwhile(1):\\n  cnt += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    print(cnt)\\n    break\\n  S.append(s)\\n\", \"def readinput():\\n    s=int(input())\\n    return s\\n\\ndef main(s):\\n    hist=[0]*1000001\\n    i=1\\n    n=s\\n    hist[n]+=1\\n    while hist[n]<=1:\\n        if n%2==0:\\n            n=n//2\\n        else:\\n            n=3*n+1\\n        i+=1\\n        hist[n]+=1\\n    return i\\n\\ndef __starting_point():\\n    s=readinput()\\n    ans=main(s)\\n    print(ans)\\n\\n__starting_point()\", \"s = int(input())\\n\\nmp = [False]*(10**6+1)\\ndef even_f(n):\\n    return n//2\\n\\ndef odd_f(n):\\n    return 3*n+1\\n\\nmp[s]=True\\nnow = s\\nfor i in range(1,10**6+1):\\n    if(now%2==0):\\n        now = even_f(now)\\n    else:\\n        now = odd_f(now)\\n\\n    if(mp[now]):\\n        savei=i\\n        break\\n    mp[now]=True\\n\\nprint((savei+1))\\n        \\n\", \"s = int(input())\\nans = [s]\\ni = 1\\nif s == 1 or s == 2:\\n    ans = 4\\nelse:\\n    while ans[i-1] != 4:\\n        if ans[i-1] % 2 ==0:\\n            ans.append(ans[i-1]//2)\\n        else:\\n            ans.append(ans[i-1]*3 + 1 )\\n        i += 1\\n    ans = i + 3\\nprint(ans)\", \"import sys\\n\\n\\ndef input(): return sys.stdin.readline().strip()\\ndef I(): return int(input())\\ndef LI(): return list(map(int, input().split()))\\ndef IR(n): return [I() for i in range(n)]\\ndef LIR(n): return [LI() for i in range(n)]\\ndef SR(n): return [S() for i in range(n)]\\ndef S(): return input()\\ndef LS(): return input().split()\\n\\n\\nINF = float('inf')\\n\\ns = I()\\nvs = set()\\nvs.add(s)\\nnow = 0 + s\\ni = 1\\nwhile True:\\n    i += 1\\n    now = now / 2 if now % 2 == 0 else 3*now + 1\\n    if now in vs:\\n        break\\n    else:\\n        vs.add(now)\\n\\nprint(i)\\n\", \"s = int(input())\\nlist_a = [s]\\n\\nfor i in range(1000000):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] / 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n        \\nfor index, ai in enumerate(list_a, 1):\\n    if ai in list_a[:index - 1]:\\n        print(index)\\n        break\\n\", \"\\nurl = \\\"https://atcoder.jp//contests/abc116/tasks/abc116_b\\\"\\n\\ndef calc(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\n\\ndef main():\\n    s = int(input())\\n    ans = [s]\\n    while True:\\n        tmp = calc(ans[-1])\\n        ans.append(tmp)\\n        if ans.index(tmp) != len(ans)-1:\\n            print((len(ans)))\\n            break\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"s=int(input())\\nL=[]\\nn=1\\nwhile not s in L:\\n  L.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  n+=1\\nprint(n)\", \"n = int(input())\\ndata =[0]* 1000000\\ndata[0] = n\\ni = 2\\nif n % 2 == 0:\\n    data[1] = n //2\\nelse:\\n    data[1] = 3 * n + 1\\nwhile data[i - 1] not in data[0: i -2]:\\n    if data[i-1] % 2 == 0:\\n            data[i] = data[i - 1]//2\\n    else:\\n            data[i] = 3 * data[i - 1] + 1\\n    i += 1\\nprint(i)\", \"s=int(input())\\nG =[]\\nwhile (s not in G):\\n  G.append(s)\\n  if s % 2==0:\\n    s = int(s//2)\\n  else:\\n    s = int(3*s+1)\\nprint(len(G)+1)\", \"s = int(input())\\nl = [s]\\na = set(l)\\nfor i in range(10**6):\\n  if l[-1] % 2 == 0:\\n    n = l[-1] // 2\\n  else:\\n    n = 3*l[-1] + 1\\n  if n not in a:\\n    a.add(n)\\n    l.append(n)\\n  else:\\n    print(len(l)+1)\\n    break\", \"a=int(input())\\ns=set()\\ni=1\\nwhile True:\\n    if a in s:\\n        print(i)\\n        break\\n    s|={a}\\n    if a%2==0:\\n        a>>=1\\n    else:\\n        a=3*a+1\\n    i+=1\\n\", \"s = int(input())\\n\\ndef f(n):\\n    if n%2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\nx = set()\\nans = 0\\nwhile True:\\n    ans += 1\\n    if s in x:\\n        print(ans)\\n        break\\n    x.add(s)\\n    s = f(s)\", \"a=int(input())\\ni=1\\nli=[a]\\nimport copy\\nwhile True:\\n    if li[i-1]%2==0:\\n        b=li[i-1]//2\\n    else:\\n        b=3*li[i-1]+1\\n    if b in li:\\n        print((i+1))\\n        return\\n    li.append(b)\\n    i+=1\\n        \\n\", \"s=int(input())\\ndef f(n):\\n    if n%2==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\na=[0]*(10**8)\\na[s]=1\\ncnt=1\\nfor _ in range(10**7):\\n    s=f(s)\\n    cnt+=1\\n    if a[s]:\\n        print(cnt)\\n        break\\n    a[s]=1\\n\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"n = int(input())\\n\\ndp = [True]*(n*1000000)\\ndp[n] = False\\nres =1\\nwhile n <1000001:\\n    res +=1\\n    if n % 2 ==1:\\n        n = n*3+1\\n    else:\\n        n = n//2\\n    \\n    if dp[n]:\\n        dp[n] = False\\n    else:\\n        print(res)\\n        return\", \"s = int(input())\\n\\na = [0]*(10**6+1)\\nc = [0]*(10**6+1)\\na[1] = s\\nc[s] = 1\\nfor i in range(2, 10**6+1):\\n    v = a[i-1]//2 if a[i-1] % 2 == 0 else 3*a[i-1]+1\\n    a[i] = v\\n    if c[v] == 1:\\n        print(i)\\n        return\\n    c[v] = 1\", \"S = int(input())\\narray = []\\narray.append(S)\\n\\nwhile True:\\n  count = 0\\n  if S % 2 == 0:\\n    S = S / 2\\n    array.append(S)\\n  else:\\n    S = 3 * S + 1\\n    array.append(S)\\n  for i in range(len(array)):\\n    if S == array[i]:\\n      count += 1\\n      if count == 2:\\n        print((i + 1))\\n        return\\n\", \"a=int(input())\\nb=0\\nif a==2:\\n  print(4)\\nelif a==1:\\n  print(4)\\nelse:\\n  while a!=4:\\n    if a%2==0:\\n      a=a//2\\n      b=b+1\\n    else:\\n      a=3*a+1\\n      b=b+1\\n  print(b+4)\", \"s = int(input())\\n\\nans_list = [s]\\ncurr_value = s\\nindex = 1\\nwhile(True):\\n    if curr_value%2==0:\\n        curr_value = int(curr_value/2)\\n    else:\\n        curr_value = 3*curr_value + 1\\n    index += 1\\n    if curr_value in ans_list:\\n        break\\n    else:\\n        ans_list.append(curr_value)\\nprint(index)\", \"a = int(input())\\ns = set([a])\\n\\nfor i in range(10**6):\\n\\tif a % 2 == 0:\\n\\t\\t# print(\\\"Process for even.\\\")\\n\\t\\ta = a//2\\n\\telse:\\n\\t\\t# print(\\\"Process for odd.\\\")\\n\\t\\ta = 3*a + 1\\n\\tif a not in s:\\n\\t\\ts.add(a)\\n\\telse:\\n\\t\\tprint((i+2))\\n\\t\\tbreak\\n\", \"def f(n):\\n\\tif n % 2 == 0:\\n\\t\\treturn n / 2\\n\\telse:\\n\\t\\treturn 3 * n + 1\\n\\t\\t\\ns = int(input())\\n\\na = []\\nfor i in range(1000000):\\n\\tif i == 0:\\n\\t\\ta.append(s)\\n\\telse:\\n\\t\\tif f(a[-1]) in a:\\n\\t\\t\\tprint(i+1)\\n\\t\\t\\tbreak\\n\\t\\telse:\\n\\t\\t\\ta.append(f(a[-1]))\", \"s = int(input())\\nvisited = [False]*(10**6+1)\\n\\nvisited[s] = True\\ncnt = 1\\n\\nwhile True:\\n    if s & 1:\\n        s = s * 3 + 1\\n    else:\\n        s //= 2\\n    \\n    cnt += 1\\n\\n    if visited[s]:\\n        print(cnt)\\n        break\\n\\n    visited[s] = True\", \"s = int(input())\\na = [s]\\nfor i in range(1, 1000001):\\n    if a[i-1]%2 == 0:\\n        x = a[i-1]//2\\n        if x in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(x)\\n    else:\\n        y = a[i-1]*3 + 1\\n        if y in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(y)\", \"from sys import stdin\\n\\ns = int(stdin.readline().strip())\\nmem = []\\na = s\\n\\nfor i in range(1000000):\\n  if a in mem:\\n    print(i+1)\\n    return\\n  mem.append(a)\\n  if a % 2 == 0: a = a // 2\\n  else: a = 3 * a + 1\"]",
        "difficulty": "introductory",
        "input": "1\n",
        "output": "4\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc116/tasks/abc116_b"
    },
    {
        "id": 481,
        "task_id": 4311,
        "test_case_id": 5,
        "question": "A sequence a=\\{a_1,a_2,a_3,......\\} is determined as follows:\n - The first term s is given as input.\n - Let f(n) be the following function: f(n) = n/2 if n is even, and f(n) = 3n+1 if n is odd.\n - a_i = s when i = 1, and a_i = f(a_{i-1}) when i > 1.\nFind the minimum integer m that satisfies the following condition:\n - There exists an integer n such that a_m = a_n (m > n).\n\n-----Constraints-----\n - 1 \\leq s \\leq 100\n - All values in input are integers.\n - It is guaranteed that all elements in a and the minimum m that satisfies the condition are at most 1000000.\n\n-----Input-----\nInput is given from Standard Input in the following format:\ns\n\n-----Output-----\nPrint the minimum integer m that satisfies the condition.\n\n-----Sample Input-----\n8\n\n-----Sample Output-----\n5\n\na=\\{8,4,2,1,4,2,1,4,2,1,......\\}. As a_5=a_2, the answer is 5.",
        "solutions": "[\"from collections import defaultdict\\n\\nd = defaultdict(bool)\\n\\nn = int(input())\\nfor i in range(1000000):\\n\\n    if d[n]:\\n        print((i + 1))\\n        return\\n    d[n] = True\\n    if n & 1:\\n        n = n * 3 + 1\\n    else:\\n        n >>= 1\\n\", \"a=int(input())\\nb=[]\\nb.append(a)\\nwhile True:\\n    if a%2==0:\\n        a=a/2\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\\n    elif a%2!=0:\\n        a=3*a+1\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\", \"s = int(input())\\na = s\\nc = 0\\nif a == 1 or a == 2:\\n  ans = 4\\nelse:\\n  while a != 1:\\n    if a%2 == 0:\\n      a = int(a/2)\\n      c += 1\\n    else:\\n      a = int(3*a+1)\\n      c += 1\\n  ans = c+2\\nprint(ans)\", \"s = int(input())\\nans = [0]*1000001\\ncnt = 1\\n\\nwhile True:\\n    if ans[s] == 0:\\n        ans[s] += 1\\n\\n        if s%2 == 0:\\n            s = s//2\\n        else:\\n            s = 3*s+1\\n        cnt += 1\\n\\n    if ans[s] != 0:\\n        print(cnt)\\n        return\\n\\n\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n\\nprint(i)\", \"n=int(input())\\nli = []\\nwhile not n in li:\\n  li.append(n)\\n  if n % 2 == 0:\\n    n //= 2\\n  else:\\n    n = n * 3 + 1\\n  \\nprint(len(li)+1)\", \"s = int(input())\\n\\nlst = [s]\\nprev = s\\nfor m in range(2, 1000001):\\n    if prev % 2 == 0:\\n        i = int(prev / 2)\\n    else:\\n        i = 3 * prev + 1\\n    if i in lst:\\n        print(m)\\n        break\\n    lst.append(i)\\n    prev = i\", \"s = int(input())\\na = [s]\\nwhile True:\\n  if a.count(a[-1]) == 2:\\n    print(len(a))\\n    return\\n  if a[-1]%2 == 0:\\n    a.append(a[-1]/2)\\n  else:\\n    a.append(3*a[-1]+1)\", \"n = int(input())\\nc = 0\\nx = []\\nwhile True:\\n    c+=1\\n    if n in x:\\n        print(c)\\n        break\\n    x.append(n)\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\", \"n=int(input())\\na=[n]\\ncnt=1\\nwhile len(set(a))==len(a):\\n    if n%2==0: \\n        n//=2\\n    else:\\n        n=3*n+1\\n    a.append(n)\\n    cnt+=1\\nprint(cnt)\\n\", \"s=int(input())\\na=[0]*10**6\\na[0]=s\\n\\ndef f(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x+1\\nt=0 \\nwhile f(a[t])>0:\\n  p=f(a[t])\\n  if p in a:\\n    print((t+2))\\n    return\\n  a[t+1]=p\\n  t+=1\\n\", \"def func(n: int) -> int:\\n    return n // 2 if n % 2 == 0 else n * 3 + 1\\n\\n\\ndef answer(s: int) -> int:\\n    sequence_a = [s]\\n    while True:\\n        num = func(sequence_a[-1])\\n        if num in sequence_a:\\n            return len(sequence_a) + 1\\n        sequence_a.append(num)\\n\\n\\ndef main():\\n    s = int(input())\\n    print((answer(s)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\ndef f(n):\\n    if n % 2 == 0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\ns = k()\\nnum.append(s)\\nwhile True:\\n    cnt += 1\\n    s = f(s)\\n    if s in num:\\n        print((cnt+1))\\n        return\\n    else:\\n        num.append(s)\\n        \\n\\n\\n\", \"s = int(input())\\nTMP = [s]\\n\\nif s==1 or s==2:\\n    print(4)\\nelse:\\n    while TMP[-1]!=1:\\n        if TMP[-1] % 2 == 0:\\n            TMP.append(TMP[-1]//2)\\n        elif TMP[-1] % 2 != 0:\\n            TMP.append(3 * TMP[-1] + 1)\\n    print(len(TMP)+1)\", \"s = int(input())\\nl = []\\ndef myfunc(x):\\n  if x%2 == 0:\\n    x = x//2\\n  else:\\n    x = 3*x + 1\\n  return x\\nfor i in range(10**6):\\n  l.append(s)\\n  s = myfunc(s)\\n  if s in l:\\n    print(i+2)\\n    break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    # \\u524d\\u56de\\u306e\\u5024\\u306b\\u3088\\u3063\\u3066\\u8a08\\u7b97\\u3092\\u5909\\u3048\\u308b\\u3002\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    # \\u6570\\u5217\\u306b\\u540c\\u3058\\u5024\\u304c\\u542b\\u307e\\u308c\\u3066\\u3044\\u308b\\u304b\\u3069\\u3046\\u304b\\uff1f\\n    if n in a:\\n\\t  \\t# \\u914d\\u5217\\u304c0\\u304b\\u3089\\u59cb\\u307e\\u308b\\u305f\\u3081\\u3001\\u30ab\\u30a6\\u30f3\\u30c8\\u30a2\\u30c3\\u30d7\\u3002\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s=int(input())\\ncol=[]\\na=s\\ncount=1\\nwhile True:\\n  col.append(a) \\n  if a%2==0:\\n    a=a/2\\n  else:\\n    a=a*3+1\\n  if a in col:\\n    print(count+1)\\n    break\\n  count+=1\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = []\\nans.append(s)\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"def main():\\n    def f(n):\\n        return 3 * n + 1 if n % 2 else n // 2\\n    s = int(input())\\n    a = [s]\\n    for i in range(1, 11**6):\\n        x = f(a[i-1])\\n        if x in a:\\n            return len(a) + 1; return\\n        a.append(x)\\n\\n\\nprint(main())\", \"s=int(input())\\na=[]\\nans=1\\nwhile True:\\n  a.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  ans+=1\\n  if s in a:\\n    print(ans)\\n    break\", \"s = int(input())\\nli = []\\nli.append(s)\\n\\nfor i in range(1,1000000000):\\n    if li[i-1] % 2 == 0:\\n        li.append(li[i-1]//2)\\n    else:\\n        li.append(li[i-1]*3+1)\\n\\n    for j in range(len(li)-1):\\n        if li[j] ==li[i]:\\n            print((i+1))\\n            return\\n\", \"s = int(input())\\na = [s]\\nb = 1\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = 3 * s + 1\\n    if s in a:\\n        print(len(a) + 1)\\n        return\\n    a.append(s)\", \"s = int(input())\\nL = []\\nfor c in range(2 , 10 ** 6 + 1):\\n  L.append(s)\\n  if s % 2 == 0:\\n    s = s // 2\\n  elif s % 2 == 1:\\n    s = s * 3 + 1\\n  if s in L:\\n    break\\nprint(c)\", \"s = int(input())\\n\\nif s == 1 or s == 2:\\n    print(4)\\n    return\\n\\ndef function(n):\\n    if n % 2 == 0:\\n        return int(n/2)\\n    else:\\n        return int(n*3+1)\\ni = 0\\ncount = 0\\na = []\\na.append(s)\\nwhile count < 2:\\n    a.append(function(a[i]))\\n    if a[i] == 4:\\n        count += 1\\n    i += 1\\nprint(i)\", \"n=int(input())\\nl=[n]\\nwhile True:\\n    if n%2==0:\\n        n//=2\\n    else:\\n        n=n*3+1\\n    if n in l:\\n        break\\n    else:\\n        l.append(n)\\nprint((len(l)+1))\\n\", \"s = int(input())\\nlist_a = [None]\\nlist_a.append(s)\\nans = 0\\nfor i in range(1, 10 ** 6 + 1):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] // 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n    if list_a[i] in list_a[:i]:\\n        ans = i\\n        break\\nprint(ans)\", \"s = int(input())\\nS = [str(s)]\\ni = 1\\nwhile True:\\n    if s % 2 == 0:\\n        i += 1\\n        s = s//2\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\n    else:\\n        i += 1\\n        s = int(3 * s + 1)\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\npass\\n\", \"import sys\\nimport copy\\ns = int(input())\\n\\ndef f(n):\\n    if n%2==0:\\n        return int(n/2)\\n    else:\\n        return 3*n+1\\n\\nfor i in range(1000000):\\n    if i == 0:\\n        a=[s]\\n    else:\\n        a.append(f(a[i-1]))\\n    \\n    if a.count(a[i]) == 2:\\n        print((i+1))\\n        return\\n\", \"# import math\\n# import statistics\\na=int(input())\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\n# e1,e2 = map(int,input().split())\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\n\\nda=True\\nap=[a]\\ncount=1\\nwhile da:\\n    if a%2==0:\\n        a=a//2\\n        ap.append(a)\\n    elif a%2==1:\\n        a=3*a+1\\n        ap.append(a)\\n    count+=1\\n    if len(set(ap))<len(ap):\\n        print(count)\\n        da=False\\n\", \"a = int(input())\\n \\ndic = {}\\ndic[a] = 1\\n\\ni = 1\\nwhile True:\\n  i += 1\\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n    \\n  if a in dic: break\\n  dic[a] = 1\\n  \\nprint(i)\", \"s = int(input())\\n\\nif s < 3:\\n  print(4)\\n  return\\n\\ncnt = 1\\nval = s\\nwhile True:\\n  if cnt > 1 and val == 1:\\n    break\\n  \\n  if val % 2 == 0:\\n    val = val//2\\n  else:\\n    val = val*3+1\\n    \\n  cnt += 1\\n             \\nprint(cnt+1)\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = [s]\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"n = int(input())\\na = [n]\\nindex = 0\\n\\nfor i in range(1, 1000000):\\n    if a[i - 1] % 2 == 0:\\n        m = a[i - 1] / 2\\n    else:\\n        m = 3 * a[i - 1] + 1\\n    if m in a:\\n        index = i + 1\\n        break\\n    a.append(m)\\nprint(index)\", \"s = int(input())\\n\\nmax_ = 1000000\\nchk = [0]*max_\\na = s\\ni = 1\\nwhile i <= max_:\\n    if chk[a] == 0:\\n        chk[a] += 1\\n    else:\\n        print(i)\\n        return\\n    if a%2 == 0:\\n        a = int(a/2)\\n    else:\\n        a = 3*a + 1\\n    i += 1\\n\", \"s = int(input())\\n\\nA = [s]\\nidx = 1\\nwhile True:\\n    n = A[idx-1]\\n    if n % 2:\\n        f = 3*n + 1\\n    else:\\n        f = n / 2\\n    idx += 1\\n    A.append(f)\\n    if len(A) != len(set(A)):\\n        break\\nprint(idx)\", \"s = int(input())\\n\\ncount = 1\\nn = s\\ncheck = 0\\nlist = [s]\\n\\n\\nfor i in range(30000):\\n        if n % 2 == 0:\\n            n = n / 2\\n            list.append(n)\\n        else:\\n            n = n*3 + 1\\n            list.append(n)\\n        \\n        count = count + 1\\n        list.sort()\\n        for j in range(len(list) - 1):\\n            if list[j] ==list[j+1]:\\n                check = 1\\n                break\\n            \\n        if check == 1:\\n            break\\n        \\n\\n\\nprint(count)\\n\\n\", \"S = int(input())\\ns, c = S, 1\\nresult = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    elif s % 2 == 1:\\n        s = s * 3 + 1\\n\\n    result.append(s)\\n    c += 1\\n    if len(set(result)) < len(result):\\n        break\\n\\nprint(c)\", \"#-*-coding:utf-8-*-\\nimport sys\\ninput=sys.stdin.readline\\n\\ndef func(n):\\n    ans =0\\n    if n%2==0:\\n        ans=n//2\\n    else:\\n        ans=3*n+1\\n    return ans\\n\\ndef main():\\n    s = int(input())\\n    dp=[s]\\n    counter=0\\n\\n    if s==1 or s==2:\\n        print(4)\\n        return\\n\\n    while counter < 1000001:\\n        n=dp.pop()\\n        tmp = func(n)\\n        dp.append(n)\\n        dp.append(tmp)\\n        counter+=1\\n        if tmp==4:\\n            print(dp.index(tmp)+4)\\n            break\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\nS = int(input())\\n\\na = [S]\\ncnt = 1\\nwhile True:\\n    if S%2 == 0:\\n        S /= 2\\n    else:\\n        S = 3*S + 1\\n    cnt += 1\\n    if S in a:\\n        break\\n    else:\\n        a.append(S)\\n\\nprint(cnt)\", \"s = int(input())\\n\\nnum_lists = [s]\\ncnt = 1\\nwhile True:\\n    if (num_lists[-1])%2 == 0:\\n        tmp = num_lists[-1]/2\\n    else:\\n        tmp =(num_lists[-1]*3)+1\\n    cnt += 1\\n    if tmp in num_lists:\\n        ans = cnt\\n        break\\n    else:\\n        num_lists.append(tmp)\\n\\nprint(ans)\", \"import sys\\ns=int(input())\\n\\ncnt=0\\n\\nif s==1 or s==2:\\n  print('4')\\n  return\\n\\nwhile s!=4:\\n  if s%2!=0:\\n    s=3*s+1\\n    cnt+=1\\n  elif s%2==0:\\n    s=s//2\\n    cnt+=1\\n\\nif s==4:\\n  print(cnt+4)\", \"s=int(input())\\na=[]\\nna=[]\\na.append(s)\\nfor i in range(1,10**6):\\n    if a[i-1]%2==0:\\n        a.append(a[i-1]/2)\\n    else:\\n        a.append(a[i-1]*3+1)\\n    na=set(a)\\n    if len(na)!=i+1:\\n        print(i+1)\\n        return\", \"s = int(input())\\n\\na = []\\na.append(s)\\nfor i in range(1000000):\\n  if a[i]%2 == 0:\\n    a.append(a[i] // 2)\\n  else:\\n    a.append(3*a[i] + 1)\\n  for j in range(i-1):\\n    if a[i+1] == a[j]:\\n      print(len(a))\\n      return\", \"s = int(input())\\ndef p(n):\\n    if n%2 ==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\nl = [s]\\ncnt = 1\\nwhile True:\\n    cnt +=1\\n    s = p(s)\\n    if s in l:\\n        print(cnt)\\n        return\\n    else:\\n        l.append(s)\", \"s = int (input ())\\nl = []\\na = 0\\nl.append (s)\\nfor i in range (1000000):\\n  a += 1\\n  if s%2 == 0:\\n    s = round(s/2)\\n  else:\\n    s = s*3+1\\n  if l.count (s) != 0:\\n    print (a+1)\\n    break\\n  else:\\n    l.append (s)\", \"s = int(input())\\n\\n\\nclass Solution:\\n    def __init__(self,s):\\n        self.s = s\\n    \\n    def function_a(self):\\n        if self.s % 2 == 0:\\n            return self.s / 2\\n        else:\\n            return 3 * self.s + 1\\n    \\n    def answer(self):\\n        list_a = [self.s]\\n        self.s = self.function_a()\\n        ans = 2\\n        while self.s not in list_a:\\n            list_a.append(self.s)\\n            self.s = self.function_a()\\n            ans += 1\\n        print(ans)\\n\\n\\nconditon = Solution(s)\\nconditon.answer()\", \"S = int(input())\\nl = []\\n\\nwhile S not in l:\\n    l.append(S)\\n    if S%2 == 0:\\n        S //=2\\n    else:\\n        S = 3*S + 1\\nprint((len(l)+1))\\n\", \"s = int(input())\\nS = {s}\\ni = 1\\nwhile True:\\n  i += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    break\\n  S.add(s)\\nprint(i)\", \"s = int(input())\\n\\nbox = set()\\nbox.add(s)\\n\\nfor i in range(2, 1000000):\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = s * 3 + 1\\n  if s in box:\\n    print(i)\\n    return\\n  else:\\n    box.add(s)\\n\", \"s = int(input())\\n\\ndef collatz(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\ncoll = s\\ni = 1\\nwhile 1:\\n    if coll == 1 or coll == 2 or coll == 4:\\n        print(i  + 3)\\n        break\\n    coll = collatz(coll)\\n    i += 1\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n  \\nprint(i)\", \"S=int(input())\\n\\na=[S]\\ntemp=S\\n\\ni=0\\n\\nwhile i<200:\\n\\ti+=1\\n\\tif temp%2==0:\\n\\t\\ta.append(temp//2)\\n\\telse:\\n\\t\\ta.append(temp*3+1)\\n\\ttemp=a[-1]\\n\\nfor n in range(200):\\n\\tfor m in range(n+1,200):\\n\\t\\tif a[n]==a[m]:\\n\\t\\t\\tprint(m+1)\\n\\t\\t\\treturn\", \"s=int(input())\\n\\na_list=[s]\\n\\n\\na=s\\nwhile True:\\n    \\n    if a%2==0:\\n        a=a//2\\n    else:\\n        a=3*a+1\\n    \\n    if a in a_list:\\n        break\\n    else:\\n        a_list.append(a)\\n\\nans=len(a_list)+1\\n\\nprint(ans)\", \"s = int(input())\\na = [s]\\n\\ndef func(n):\\n  if n % 2 == 0:\\n    a.append(n//2)\\n  elif n % 2 == 1:\\n    a.append(3*n + 1)\\n  \\ni = 1\\nwhile True:\\n  func(a[-1])\\n  i += 1\\n  if a.count(a[-1]) == 2:\\n    break\\n  else:\\n    pass\\n\\n\\nprint(i)\", \"def f(n):\\n    if n % 2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\n\\ns = int(input())\\ncnt = 0\\na = [s]\\nwhile True:\\n\\n    temp = f(a[cnt])\\n\\n    if temp in a:\\n        print((len(a)+1))\\n        return\\n    a.append(temp)\\n    cnt += 1\\n\", \"s = int(input())\\n\\ndef f(x):\\n    if x%2 == 0:\\n        return int(x/2)\\n    else:\\n        return 3*x + 1\\ni = 1\\nm_max = 1000000\\nb_s = s\\nb = set([s])\\nwhile i <= m_max:\\n    i += 1\\n    a = f(b_s)\\n    if a in b:\\n        break\\n    b.add(a)\\n    b_s = a\\nprint(i)\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"s = int(input())\\na = [s]\\nans = 0\\nfor i in range(1000000):\\n    if a[i] % 2 == 0:\\n        if a[i]/2 in a:\\n            ans = i + 2\\n            break\\n        a.append(a[i]/2)\\n    else:\\n        if 3*a[i] + 1 in a:\\n            ans = i + 2\\n            break\\n        a.append(3*a[i] + 1)\\nprint(ans)\", \"n = int(input())\\nc = 1\\nx = []\\nx.append(n)\\nwhile True:\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\\n    c+=1\\n    if n in x:\\n        break\\n    x.append(n)\\nprint(c)\", \"import sys\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    S = int(input())\\n\\n    x = set()\\n    x.add(S)\\n\\n    i = 1\\n    prev = S\\n    while True:\\n        i += 1\\n        if prev % 2 == 0:\\n            prev = prev // 2\\n        else:\\n            prev = prev * 3 + 1\\n\\n        if prev in x:\\n            print(i)\\n            return\\n\\n        x.add(prev)\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"s = int(input())\\narr = []\\nans = 0\\ndef calc(n, cnt):\\n    arr.append(n)\\n\\n    if cnt >= 1000000:\\n        return n\\n\\n    if n % 2 == 0:\\n        n = int(n / 2)\\n    else:\\n        n = int(3 * n + 1)\\n\\n    if n in arr:\\n        return cnt\\n\\n    cnt += 1\\n    calc(n, cnt)\\ncalc(s, 0)\\nprint((len(arr) + 1))\\n\", \"def func(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x + 1\\nA = [True for i in range(1000001)]\\nN = int(input())\\ncount = 1\\nwhile A[N]:\\n  A[N] = False\\n  N = func(N)\\n  count += 1\\nprint(count)\", \"a = [int(input())]\\n\\ni = 0\\nwhile True:\\n    if a[i]%2 == 0:\\n        a.append(int(a[i]/2))\\n    else:\\n        a.append(int((3*a[i])+1))\\n    if a.count(a[i]) == 2:\\n        break\\n    i += 1\\n\\nprint(i+1)\", \"s = int(input())\\nlist_a = [s]\\n\\nif s % 2 == 0:\\n    s = s / 2\\nelse:\\n    s = 3 * s + 1\\n    \\ncurrent = 2\\nwhile s not in list_a:\\n    list_a.append(s)\\n    if s % 2 == 0:\\n        s = s / 2\\n    else:\\n        s = 3 * s + 1\\n    current += 1\\n\\nprint(current)\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"s=int(input())\\n\\nans=1\\ns_st=set()\\nwhile s not in s_st:\\n  s_st.add(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=3*s+1\\n  ans+=1\\n\\nprint(ans)\", \"import sys\\ns = int(input())\\nf = [0 for _ in range(1000005)]\\nf[s] = 1\\nn = s\\nfor i in range(1000005):\\n  if(n%2==0):\\n    n = int(n/2)\\n  else:\\n    n = int(3*n + 1)\\n  if(f[n] == 1):\\n    print(i+2)\\n    return\\n  else:\\n    f[n] = 1\", \"s = int(input())\\n\\nsec = [s]\\ncount = 1\\nwhile(s):\\n  if sec[-1]%2 == 0:\\n    sec.append(sec[-1]/2)\\n  else:\\n    sec.append(3*sec[-1]+1)\\n  count+=1\\n    \\n  if sec[-1] in sec[:-1]:\\n    print(count)\\n    break\", \"s = int(input())\\nline = [0 for i in range(1000001)]\\nans = 1\\nline[s] += 1\\nwhile True:\\n  ans += 1\\n  if s % 2 == 0:\\n    s = int(s/2)\\n  else:\\n    s = 3*s + 1\\n  line[s] += 1\\n  if line[s] > 1:\\n    break\\nprint(ans)\", \"a = int(input())\\nl = [a]\\nfor i in range(1000000):\\n  if a % 2 == 0:\\n    a = a//2\\n  else:\\n    a = a*3 + 1\\n  if l.count(a)==2:\\n    print((1+max([i for i, x in enumerate(l) if x == a])))\\n    break\\n  else:\\n    l.append(a)\\n\", \"s = int(input())\\na = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = s * 3 + 1\\n    a.append(s)\\n    if a.count(s) == 2:\\n        print(len(a))\\n        break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    if n in a:\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s = int(input())\\na = [s]\\ni = 1\\nwhile True:\\n  if s % 2 == 0:\\n    s = s // 2\\n  else:\\n    s = 3 * s + 1\\n  if s in a:\\n    print(len(a) + 1)\\n    break\\n  a.append(s)\", \"s=int(input())\\ncnt = 1\\nS = [s]\\nwhile(1):\\n  cnt += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    print(cnt)\\n    break\\n  S.append(s)\\n\", \"def readinput():\\n    s=int(input())\\n    return s\\n\\ndef main(s):\\n    hist=[0]*1000001\\n    i=1\\n    n=s\\n    hist[n]+=1\\n    while hist[n]<=1:\\n        if n%2==0:\\n            n=n//2\\n        else:\\n            n=3*n+1\\n        i+=1\\n        hist[n]+=1\\n    return i\\n\\ndef __starting_point():\\n    s=readinput()\\n    ans=main(s)\\n    print(ans)\\n\\n__starting_point()\", \"s = int(input())\\n\\nmp = [False]*(10**6+1)\\ndef even_f(n):\\n    return n//2\\n\\ndef odd_f(n):\\n    return 3*n+1\\n\\nmp[s]=True\\nnow = s\\nfor i in range(1,10**6+1):\\n    if(now%2==0):\\n        now = even_f(now)\\n    else:\\n        now = odd_f(now)\\n\\n    if(mp[now]):\\n        savei=i\\n        break\\n    mp[now]=True\\n\\nprint((savei+1))\\n        \\n\", \"s = int(input())\\nans = [s]\\ni = 1\\nif s == 1 or s == 2:\\n    ans = 4\\nelse:\\n    while ans[i-1] != 4:\\n        if ans[i-1] % 2 ==0:\\n            ans.append(ans[i-1]//2)\\n        else:\\n            ans.append(ans[i-1]*3 + 1 )\\n        i += 1\\n    ans = i + 3\\nprint(ans)\", \"import sys\\n\\n\\ndef input(): return sys.stdin.readline().strip()\\ndef I(): return int(input())\\ndef LI(): return list(map(int, input().split()))\\ndef IR(n): return [I() for i in range(n)]\\ndef LIR(n): return [LI() for i in range(n)]\\ndef SR(n): return [S() for i in range(n)]\\ndef S(): return input()\\ndef LS(): return input().split()\\n\\n\\nINF = float('inf')\\n\\ns = I()\\nvs = set()\\nvs.add(s)\\nnow = 0 + s\\ni = 1\\nwhile True:\\n    i += 1\\n    now = now / 2 if now % 2 == 0 else 3*now + 1\\n    if now in vs:\\n        break\\n    else:\\n        vs.add(now)\\n\\nprint(i)\\n\", \"s = int(input())\\nlist_a = [s]\\n\\nfor i in range(1000000):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] / 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n        \\nfor index, ai in enumerate(list_a, 1):\\n    if ai in list_a[:index - 1]:\\n        print(index)\\n        break\\n\", \"\\nurl = \\\"https://atcoder.jp//contests/abc116/tasks/abc116_b\\\"\\n\\ndef calc(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\n\\ndef main():\\n    s = int(input())\\n    ans = [s]\\n    while True:\\n        tmp = calc(ans[-1])\\n        ans.append(tmp)\\n        if ans.index(tmp) != len(ans)-1:\\n            print((len(ans)))\\n            break\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"s=int(input())\\nL=[]\\nn=1\\nwhile not s in L:\\n  L.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  n+=1\\nprint(n)\", \"n = int(input())\\ndata =[0]* 1000000\\ndata[0] = n\\ni = 2\\nif n % 2 == 0:\\n    data[1] = n //2\\nelse:\\n    data[1] = 3 * n + 1\\nwhile data[i - 1] not in data[0: i -2]:\\n    if data[i-1] % 2 == 0:\\n            data[i] = data[i - 1]//2\\n    else:\\n            data[i] = 3 * data[i - 1] + 1\\n    i += 1\\nprint(i)\", \"s=int(input())\\nG =[]\\nwhile (s not in G):\\n  G.append(s)\\n  if s % 2==0:\\n    s = int(s//2)\\n  else:\\n    s = int(3*s+1)\\nprint(len(G)+1)\", \"s = int(input())\\nl = [s]\\na = set(l)\\nfor i in range(10**6):\\n  if l[-1] % 2 == 0:\\n    n = l[-1] // 2\\n  else:\\n    n = 3*l[-1] + 1\\n  if n not in a:\\n    a.add(n)\\n    l.append(n)\\n  else:\\n    print(len(l)+1)\\n    break\", \"a=int(input())\\ns=set()\\ni=1\\nwhile True:\\n    if a in s:\\n        print(i)\\n        break\\n    s|={a}\\n    if a%2==0:\\n        a>>=1\\n    else:\\n        a=3*a+1\\n    i+=1\\n\", \"s = int(input())\\n\\ndef f(n):\\n    if n%2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\nx = set()\\nans = 0\\nwhile True:\\n    ans += 1\\n    if s in x:\\n        print(ans)\\n        break\\n    x.add(s)\\n    s = f(s)\", \"a=int(input())\\ni=1\\nli=[a]\\nimport copy\\nwhile True:\\n    if li[i-1]%2==0:\\n        b=li[i-1]//2\\n    else:\\n        b=3*li[i-1]+1\\n    if b in li:\\n        print((i+1))\\n        return\\n    li.append(b)\\n    i+=1\\n        \\n\", \"s=int(input())\\ndef f(n):\\n    if n%2==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\na=[0]*(10**8)\\na[s]=1\\ncnt=1\\nfor _ in range(10**7):\\n    s=f(s)\\n    cnt+=1\\n    if a[s]:\\n        print(cnt)\\n        break\\n    a[s]=1\\n\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"n = int(input())\\n\\ndp = [True]*(n*1000000)\\ndp[n] = False\\nres =1\\nwhile n <1000001:\\n    res +=1\\n    if n % 2 ==1:\\n        n = n*3+1\\n    else:\\n        n = n//2\\n    \\n    if dp[n]:\\n        dp[n] = False\\n    else:\\n        print(res)\\n        return\", \"s = int(input())\\n\\na = [0]*(10**6+1)\\nc = [0]*(10**6+1)\\na[1] = s\\nc[s] = 1\\nfor i in range(2, 10**6+1):\\n    v = a[i-1]//2 if a[i-1] % 2 == 0 else 3*a[i-1]+1\\n    a[i] = v\\n    if c[v] == 1:\\n        print(i)\\n        return\\n    c[v] = 1\", \"S = int(input())\\narray = []\\narray.append(S)\\n\\nwhile True:\\n  count = 0\\n  if S % 2 == 0:\\n    S = S / 2\\n    array.append(S)\\n  else:\\n    S = 3 * S + 1\\n    array.append(S)\\n  for i in range(len(array)):\\n    if S == array[i]:\\n      count += 1\\n      if count == 2:\\n        print((i + 1))\\n        return\\n\", \"a=int(input())\\nb=0\\nif a==2:\\n  print(4)\\nelif a==1:\\n  print(4)\\nelse:\\n  while a!=4:\\n    if a%2==0:\\n      a=a//2\\n      b=b+1\\n    else:\\n      a=3*a+1\\n      b=b+1\\n  print(b+4)\", \"s = int(input())\\n\\nans_list = [s]\\ncurr_value = s\\nindex = 1\\nwhile(True):\\n    if curr_value%2==0:\\n        curr_value = int(curr_value/2)\\n    else:\\n        curr_value = 3*curr_value + 1\\n    index += 1\\n    if curr_value in ans_list:\\n        break\\n    else:\\n        ans_list.append(curr_value)\\nprint(index)\", \"a = int(input())\\ns = set([a])\\n\\nfor i in range(10**6):\\n\\tif a % 2 == 0:\\n\\t\\t# print(\\\"Process for even.\\\")\\n\\t\\ta = a//2\\n\\telse:\\n\\t\\t# print(\\\"Process for odd.\\\")\\n\\t\\ta = 3*a + 1\\n\\tif a not in s:\\n\\t\\ts.add(a)\\n\\telse:\\n\\t\\tprint((i+2))\\n\\t\\tbreak\\n\", \"def f(n):\\n\\tif n % 2 == 0:\\n\\t\\treturn n / 2\\n\\telse:\\n\\t\\treturn 3 * n + 1\\n\\t\\t\\ns = int(input())\\n\\na = []\\nfor i in range(1000000):\\n\\tif i == 0:\\n\\t\\ta.append(s)\\n\\telse:\\n\\t\\tif f(a[-1]) in a:\\n\\t\\t\\tprint(i+1)\\n\\t\\t\\tbreak\\n\\t\\telse:\\n\\t\\t\\ta.append(f(a[-1]))\", \"s = int(input())\\nvisited = [False]*(10**6+1)\\n\\nvisited[s] = True\\ncnt = 1\\n\\nwhile True:\\n    if s & 1:\\n        s = s * 3 + 1\\n    else:\\n        s //= 2\\n    \\n    cnt += 1\\n\\n    if visited[s]:\\n        print(cnt)\\n        break\\n\\n    visited[s] = True\", \"s = int(input())\\na = [s]\\nfor i in range(1, 1000001):\\n    if a[i-1]%2 == 0:\\n        x = a[i-1]//2\\n        if x in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(x)\\n    else:\\n        y = a[i-1]*3 + 1\\n        if y in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(y)\", \"from sys import stdin\\n\\ns = int(stdin.readline().strip())\\nmem = []\\na = s\\n\\nfor i in range(1000000):\\n  if a in mem:\\n    print(i+1)\\n    return\\n  mem.append(a)\\n  if a % 2 == 0: a = a // 2\\n  else: a = 3 * a + 1\"]",
        "difficulty": "introductory",
        "input": "2\n",
        "output": "4\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc116/tasks/abc116_b"
    },
    {
        "id": 482,
        "task_id": 4311,
        "test_case_id": 6,
        "question": "A sequence a=\\{a_1,a_2,a_3,......\\} is determined as follows:\n - The first term s is given as input.\n - Let f(n) be the following function: f(n) = n/2 if n is even, and f(n) = 3n+1 if n is odd.\n - a_i = s when i = 1, and a_i = f(a_{i-1}) when i > 1.\nFind the minimum integer m that satisfies the following condition:\n - There exists an integer n such that a_m = a_n (m > n).\n\n-----Constraints-----\n - 1 \\leq s \\leq 100\n - All values in input are integers.\n - It is guaranteed that all elements in a and the minimum m that satisfies the condition are at most 1000000.\n\n-----Input-----\nInput is given from Standard Input in the following format:\ns\n\n-----Output-----\nPrint the minimum integer m that satisfies the condition.\n\n-----Sample Input-----\n8\n\n-----Sample Output-----\n5\n\na=\\{8,4,2,1,4,2,1,4,2,1,......\\}. As a_5=a_2, the answer is 5.",
        "solutions": "[\"from collections import defaultdict\\n\\nd = defaultdict(bool)\\n\\nn = int(input())\\nfor i in range(1000000):\\n\\n    if d[n]:\\n        print((i + 1))\\n        return\\n    d[n] = True\\n    if n & 1:\\n        n = n * 3 + 1\\n    else:\\n        n >>= 1\\n\", \"a=int(input())\\nb=[]\\nb.append(a)\\nwhile True:\\n    if a%2==0:\\n        a=a/2\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\\n    elif a%2!=0:\\n        a=3*a+1\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\", \"s = int(input())\\na = s\\nc = 0\\nif a == 1 or a == 2:\\n  ans = 4\\nelse:\\n  while a != 1:\\n    if a%2 == 0:\\n      a = int(a/2)\\n      c += 1\\n    else:\\n      a = int(3*a+1)\\n      c += 1\\n  ans = c+2\\nprint(ans)\", \"s = int(input())\\nans = [0]*1000001\\ncnt = 1\\n\\nwhile True:\\n    if ans[s] == 0:\\n        ans[s] += 1\\n\\n        if s%2 == 0:\\n            s = s//2\\n        else:\\n            s = 3*s+1\\n        cnt += 1\\n\\n    if ans[s] != 0:\\n        print(cnt)\\n        return\\n\\n\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n\\nprint(i)\", \"n=int(input())\\nli = []\\nwhile not n in li:\\n  li.append(n)\\n  if n % 2 == 0:\\n    n //= 2\\n  else:\\n    n = n * 3 + 1\\n  \\nprint(len(li)+1)\", \"s = int(input())\\n\\nlst = [s]\\nprev = s\\nfor m in range(2, 1000001):\\n    if prev % 2 == 0:\\n        i = int(prev / 2)\\n    else:\\n        i = 3 * prev + 1\\n    if i in lst:\\n        print(m)\\n        break\\n    lst.append(i)\\n    prev = i\", \"s = int(input())\\na = [s]\\nwhile True:\\n  if a.count(a[-1]) == 2:\\n    print(len(a))\\n    return\\n  if a[-1]%2 == 0:\\n    a.append(a[-1]/2)\\n  else:\\n    a.append(3*a[-1]+1)\", \"n = int(input())\\nc = 0\\nx = []\\nwhile True:\\n    c+=1\\n    if n in x:\\n        print(c)\\n        break\\n    x.append(n)\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\", \"n=int(input())\\na=[n]\\ncnt=1\\nwhile len(set(a))==len(a):\\n    if n%2==0: \\n        n//=2\\n    else:\\n        n=3*n+1\\n    a.append(n)\\n    cnt+=1\\nprint(cnt)\\n\", \"s=int(input())\\na=[0]*10**6\\na[0]=s\\n\\ndef f(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x+1\\nt=0 \\nwhile f(a[t])>0:\\n  p=f(a[t])\\n  if p in a:\\n    print((t+2))\\n    return\\n  a[t+1]=p\\n  t+=1\\n\", \"def func(n: int) -> int:\\n    return n // 2 if n % 2 == 0 else n * 3 + 1\\n\\n\\ndef answer(s: int) -> int:\\n    sequence_a = [s]\\n    while True:\\n        num = func(sequence_a[-1])\\n        if num in sequence_a:\\n            return len(sequence_a) + 1\\n        sequence_a.append(num)\\n\\n\\ndef main():\\n    s = int(input())\\n    print((answer(s)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\ndef f(n):\\n    if n % 2 == 0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\ns = k()\\nnum.append(s)\\nwhile True:\\n    cnt += 1\\n    s = f(s)\\n    if s in num:\\n        print((cnt+1))\\n        return\\n    else:\\n        num.append(s)\\n        \\n\\n\\n\", \"s = int(input())\\nTMP = [s]\\n\\nif s==1 or s==2:\\n    print(4)\\nelse:\\n    while TMP[-1]!=1:\\n        if TMP[-1] % 2 == 0:\\n            TMP.append(TMP[-1]//2)\\n        elif TMP[-1] % 2 != 0:\\n            TMP.append(3 * TMP[-1] + 1)\\n    print(len(TMP)+1)\", \"s = int(input())\\nl = []\\ndef myfunc(x):\\n  if x%2 == 0:\\n    x = x//2\\n  else:\\n    x = 3*x + 1\\n  return x\\nfor i in range(10**6):\\n  l.append(s)\\n  s = myfunc(s)\\n  if s in l:\\n    print(i+2)\\n    break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    # \\u524d\\u56de\\u306e\\u5024\\u306b\\u3088\\u3063\\u3066\\u8a08\\u7b97\\u3092\\u5909\\u3048\\u308b\\u3002\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    # \\u6570\\u5217\\u306b\\u540c\\u3058\\u5024\\u304c\\u542b\\u307e\\u308c\\u3066\\u3044\\u308b\\u304b\\u3069\\u3046\\u304b\\uff1f\\n    if n in a:\\n\\t  \\t# \\u914d\\u5217\\u304c0\\u304b\\u3089\\u59cb\\u307e\\u308b\\u305f\\u3081\\u3001\\u30ab\\u30a6\\u30f3\\u30c8\\u30a2\\u30c3\\u30d7\\u3002\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s=int(input())\\ncol=[]\\na=s\\ncount=1\\nwhile True:\\n  col.append(a) \\n  if a%2==0:\\n    a=a/2\\n  else:\\n    a=a*3+1\\n  if a in col:\\n    print(count+1)\\n    break\\n  count+=1\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = []\\nans.append(s)\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"def main():\\n    def f(n):\\n        return 3 * n + 1 if n % 2 else n // 2\\n    s = int(input())\\n    a = [s]\\n    for i in range(1, 11**6):\\n        x = f(a[i-1])\\n        if x in a:\\n            return len(a) + 1; return\\n        a.append(x)\\n\\n\\nprint(main())\", \"s=int(input())\\na=[]\\nans=1\\nwhile True:\\n  a.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  ans+=1\\n  if s in a:\\n    print(ans)\\n    break\", \"s = int(input())\\nli = []\\nli.append(s)\\n\\nfor i in range(1,1000000000):\\n    if li[i-1] % 2 == 0:\\n        li.append(li[i-1]//2)\\n    else:\\n        li.append(li[i-1]*3+1)\\n\\n    for j in range(len(li)-1):\\n        if li[j] ==li[i]:\\n            print((i+1))\\n            return\\n\", \"s = int(input())\\na = [s]\\nb = 1\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = 3 * s + 1\\n    if s in a:\\n        print(len(a) + 1)\\n        return\\n    a.append(s)\", \"s = int(input())\\nL = []\\nfor c in range(2 , 10 ** 6 + 1):\\n  L.append(s)\\n  if s % 2 == 0:\\n    s = s // 2\\n  elif s % 2 == 1:\\n    s = s * 3 + 1\\n  if s in L:\\n    break\\nprint(c)\", \"s = int(input())\\n\\nif s == 1 or s == 2:\\n    print(4)\\n    return\\n\\ndef function(n):\\n    if n % 2 == 0:\\n        return int(n/2)\\n    else:\\n        return int(n*3+1)\\ni = 0\\ncount = 0\\na = []\\na.append(s)\\nwhile count < 2:\\n    a.append(function(a[i]))\\n    if a[i] == 4:\\n        count += 1\\n    i += 1\\nprint(i)\", \"n=int(input())\\nl=[n]\\nwhile True:\\n    if n%2==0:\\n        n//=2\\n    else:\\n        n=n*3+1\\n    if n in l:\\n        break\\n    else:\\n        l.append(n)\\nprint((len(l)+1))\\n\", \"s = int(input())\\nlist_a = [None]\\nlist_a.append(s)\\nans = 0\\nfor i in range(1, 10 ** 6 + 1):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] // 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n    if list_a[i] in list_a[:i]:\\n        ans = i\\n        break\\nprint(ans)\", \"s = int(input())\\nS = [str(s)]\\ni = 1\\nwhile True:\\n    if s % 2 == 0:\\n        i += 1\\n        s = s//2\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\n    else:\\n        i += 1\\n        s = int(3 * s + 1)\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\npass\\n\", \"import sys\\nimport copy\\ns = int(input())\\n\\ndef f(n):\\n    if n%2==0:\\n        return int(n/2)\\n    else:\\n        return 3*n+1\\n\\nfor i in range(1000000):\\n    if i == 0:\\n        a=[s]\\n    else:\\n        a.append(f(a[i-1]))\\n    \\n    if a.count(a[i]) == 2:\\n        print((i+1))\\n        return\\n\", \"# import math\\n# import statistics\\na=int(input())\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\n# e1,e2 = map(int,input().split())\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\n\\nda=True\\nap=[a]\\ncount=1\\nwhile da:\\n    if a%2==0:\\n        a=a//2\\n        ap.append(a)\\n    elif a%2==1:\\n        a=3*a+1\\n        ap.append(a)\\n    count+=1\\n    if len(set(ap))<len(ap):\\n        print(count)\\n        da=False\\n\", \"a = int(input())\\n \\ndic = {}\\ndic[a] = 1\\n\\ni = 1\\nwhile True:\\n  i += 1\\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n    \\n  if a in dic: break\\n  dic[a] = 1\\n  \\nprint(i)\", \"s = int(input())\\n\\nif s < 3:\\n  print(4)\\n  return\\n\\ncnt = 1\\nval = s\\nwhile True:\\n  if cnt > 1 and val == 1:\\n    break\\n  \\n  if val % 2 == 0:\\n    val = val//2\\n  else:\\n    val = val*3+1\\n    \\n  cnt += 1\\n             \\nprint(cnt+1)\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = [s]\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"n = int(input())\\na = [n]\\nindex = 0\\n\\nfor i in range(1, 1000000):\\n    if a[i - 1] % 2 == 0:\\n        m = a[i - 1] / 2\\n    else:\\n        m = 3 * a[i - 1] + 1\\n    if m in a:\\n        index = i + 1\\n        break\\n    a.append(m)\\nprint(index)\", \"s = int(input())\\n\\nmax_ = 1000000\\nchk = [0]*max_\\na = s\\ni = 1\\nwhile i <= max_:\\n    if chk[a] == 0:\\n        chk[a] += 1\\n    else:\\n        print(i)\\n        return\\n    if a%2 == 0:\\n        a = int(a/2)\\n    else:\\n        a = 3*a + 1\\n    i += 1\\n\", \"s = int(input())\\n\\nA = [s]\\nidx = 1\\nwhile True:\\n    n = A[idx-1]\\n    if n % 2:\\n        f = 3*n + 1\\n    else:\\n        f = n / 2\\n    idx += 1\\n    A.append(f)\\n    if len(A) != len(set(A)):\\n        break\\nprint(idx)\", \"s = int(input())\\n\\ncount = 1\\nn = s\\ncheck = 0\\nlist = [s]\\n\\n\\nfor i in range(30000):\\n        if n % 2 == 0:\\n            n = n / 2\\n            list.append(n)\\n        else:\\n            n = n*3 + 1\\n            list.append(n)\\n        \\n        count = count + 1\\n        list.sort()\\n        for j in range(len(list) - 1):\\n            if list[j] ==list[j+1]:\\n                check = 1\\n                break\\n            \\n        if check == 1:\\n            break\\n        \\n\\n\\nprint(count)\\n\\n\", \"S = int(input())\\ns, c = S, 1\\nresult = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    elif s % 2 == 1:\\n        s = s * 3 + 1\\n\\n    result.append(s)\\n    c += 1\\n    if len(set(result)) < len(result):\\n        break\\n\\nprint(c)\", \"#-*-coding:utf-8-*-\\nimport sys\\ninput=sys.stdin.readline\\n\\ndef func(n):\\n    ans =0\\n    if n%2==0:\\n        ans=n//2\\n    else:\\n        ans=3*n+1\\n    return ans\\n\\ndef main():\\n    s = int(input())\\n    dp=[s]\\n    counter=0\\n\\n    if s==1 or s==2:\\n        print(4)\\n        return\\n\\n    while counter < 1000001:\\n        n=dp.pop()\\n        tmp = func(n)\\n        dp.append(n)\\n        dp.append(tmp)\\n        counter+=1\\n        if tmp==4:\\n            print(dp.index(tmp)+4)\\n            break\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\nS = int(input())\\n\\na = [S]\\ncnt = 1\\nwhile True:\\n    if S%2 == 0:\\n        S /= 2\\n    else:\\n        S = 3*S + 1\\n    cnt += 1\\n    if S in a:\\n        break\\n    else:\\n        a.append(S)\\n\\nprint(cnt)\", \"s = int(input())\\n\\nnum_lists = [s]\\ncnt = 1\\nwhile True:\\n    if (num_lists[-1])%2 == 0:\\n        tmp = num_lists[-1]/2\\n    else:\\n        tmp =(num_lists[-1]*3)+1\\n    cnt += 1\\n    if tmp in num_lists:\\n        ans = cnt\\n        break\\n    else:\\n        num_lists.append(tmp)\\n\\nprint(ans)\", \"import sys\\ns=int(input())\\n\\ncnt=0\\n\\nif s==1 or s==2:\\n  print('4')\\n  return\\n\\nwhile s!=4:\\n  if s%2!=0:\\n    s=3*s+1\\n    cnt+=1\\n  elif s%2==0:\\n    s=s//2\\n    cnt+=1\\n\\nif s==4:\\n  print(cnt+4)\", \"s=int(input())\\na=[]\\nna=[]\\na.append(s)\\nfor i in range(1,10**6):\\n    if a[i-1]%2==0:\\n        a.append(a[i-1]/2)\\n    else:\\n        a.append(a[i-1]*3+1)\\n    na=set(a)\\n    if len(na)!=i+1:\\n        print(i+1)\\n        return\", \"s = int(input())\\n\\na = []\\na.append(s)\\nfor i in range(1000000):\\n  if a[i]%2 == 0:\\n    a.append(a[i] // 2)\\n  else:\\n    a.append(3*a[i] + 1)\\n  for j in range(i-1):\\n    if a[i+1] == a[j]:\\n      print(len(a))\\n      return\", \"s = int(input())\\ndef p(n):\\n    if n%2 ==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\nl = [s]\\ncnt = 1\\nwhile True:\\n    cnt +=1\\n    s = p(s)\\n    if s in l:\\n        print(cnt)\\n        return\\n    else:\\n        l.append(s)\", \"s = int (input ())\\nl = []\\na = 0\\nl.append (s)\\nfor i in range (1000000):\\n  a += 1\\n  if s%2 == 0:\\n    s = round(s/2)\\n  else:\\n    s = s*3+1\\n  if l.count (s) != 0:\\n    print (a+1)\\n    break\\n  else:\\n    l.append (s)\", \"s = int(input())\\n\\n\\nclass Solution:\\n    def __init__(self,s):\\n        self.s = s\\n    \\n    def function_a(self):\\n        if self.s % 2 == 0:\\n            return self.s / 2\\n        else:\\n            return 3 * self.s + 1\\n    \\n    def answer(self):\\n        list_a = [self.s]\\n        self.s = self.function_a()\\n        ans = 2\\n        while self.s not in list_a:\\n            list_a.append(self.s)\\n            self.s = self.function_a()\\n            ans += 1\\n        print(ans)\\n\\n\\nconditon = Solution(s)\\nconditon.answer()\", \"S = int(input())\\nl = []\\n\\nwhile S not in l:\\n    l.append(S)\\n    if S%2 == 0:\\n        S //=2\\n    else:\\n        S = 3*S + 1\\nprint((len(l)+1))\\n\", \"s = int(input())\\nS = {s}\\ni = 1\\nwhile True:\\n  i += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    break\\n  S.add(s)\\nprint(i)\", \"s = int(input())\\n\\nbox = set()\\nbox.add(s)\\n\\nfor i in range(2, 1000000):\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = s * 3 + 1\\n  if s in box:\\n    print(i)\\n    return\\n  else:\\n    box.add(s)\\n\", \"s = int(input())\\n\\ndef collatz(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\ncoll = s\\ni = 1\\nwhile 1:\\n    if coll == 1 or coll == 2 or coll == 4:\\n        print(i  + 3)\\n        break\\n    coll = collatz(coll)\\n    i += 1\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n  \\nprint(i)\", \"S=int(input())\\n\\na=[S]\\ntemp=S\\n\\ni=0\\n\\nwhile i<200:\\n\\ti+=1\\n\\tif temp%2==0:\\n\\t\\ta.append(temp//2)\\n\\telse:\\n\\t\\ta.append(temp*3+1)\\n\\ttemp=a[-1]\\n\\nfor n in range(200):\\n\\tfor m in range(n+1,200):\\n\\t\\tif a[n]==a[m]:\\n\\t\\t\\tprint(m+1)\\n\\t\\t\\treturn\", \"s=int(input())\\n\\na_list=[s]\\n\\n\\na=s\\nwhile True:\\n    \\n    if a%2==0:\\n        a=a//2\\n    else:\\n        a=3*a+1\\n    \\n    if a in a_list:\\n        break\\n    else:\\n        a_list.append(a)\\n\\nans=len(a_list)+1\\n\\nprint(ans)\", \"s = int(input())\\na = [s]\\n\\ndef func(n):\\n  if n % 2 == 0:\\n    a.append(n//2)\\n  elif n % 2 == 1:\\n    a.append(3*n + 1)\\n  \\ni = 1\\nwhile True:\\n  func(a[-1])\\n  i += 1\\n  if a.count(a[-1]) == 2:\\n    break\\n  else:\\n    pass\\n\\n\\nprint(i)\", \"def f(n):\\n    if n % 2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\n\\ns = int(input())\\ncnt = 0\\na = [s]\\nwhile True:\\n\\n    temp = f(a[cnt])\\n\\n    if temp in a:\\n        print((len(a)+1))\\n        return\\n    a.append(temp)\\n    cnt += 1\\n\", \"s = int(input())\\n\\ndef f(x):\\n    if x%2 == 0:\\n        return int(x/2)\\n    else:\\n        return 3*x + 1\\ni = 1\\nm_max = 1000000\\nb_s = s\\nb = set([s])\\nwhile i <= m_max:\\n    i += 1\\n    a = f(b_s)\\n    if a in b:\\n        break\\n    b.add(a)\\n    b_s = a\\nprint(i)\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"s = int(input())\\na = [s]\\nans = 0\\nfor i in range(1000000):\\n    if a[i] % 2 == 0:\\n        if a[i]/2 in a:\\n            ans = i + 2\\n            break\\n        a.append(a[i]/2)\\n    else:\\n        if 3*a[i] + 1 in a:\\n            ans = i + 2\\n            break\\n        a.append(3*a[i] + 1)\\nprint(ans)\", \"n = int(input())\\nc = 1\\nx = []\\nx.append(n)\\nwhile True:\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\\n    c+=1\\n    if n in x:\\n        break\\n    x.append(n)\\nprint(c)\", \"import sys\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    S = int(input())\\n\\n    x = set()\\n    x.add(S)\\n\\n    i = 1\\n    prev = S\\n    while True:\\n        i += 1\\n        if prev % 2 == 0:\\n            prev = prev // 2\\n        else:\\n            prev = prev * 3 + 1\\n\\n        if prev in x:\\n            print(i)\\n            return\\n\\n        x.add(prev)\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"s = int(input())\\narr = []\\nans = 0\\ndef calc(n, cnt):\\n    arr.append(n)\\n\\n    if cnt >= 1000000:\\n        return n\\n\\n    if n % 2 == 0:\\n        n = int(n / 2)\\n    else:\\n        n = int(3 * n + 1)\\n\\n    if n in arr:\\n        return cnt\\n\\n    cnt += 1\\n    calc(n, cnt)\\ncalc(s, 0)\\nprint((len(arr) + 1))\\n\", \"def func(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x + 1\\nA = [True for i in range(1000001)]\\nN = int(input())\\ncount = 1\\nwhile A[N]:\\n  A[N] = False\\n  N = func(N)\\n  count += 1\\nprint(count)\", \"a = [int(input())]\\n\\ni = 0\\nwhile True:\\n    if a[i]%2 == 0:\\n        a.append(int(a[i]/2))\\n    else:\\n        a.append(int((3*a[i])+1))\\n    if a.count(a[i]) == 2:\\n        break\\n    i += 1\\n\\nprint(i+1)\", \"s = int(input())\\nlist_a = [s]\\n\\nif s % 2 == 0:\\n    s = s / 2\\nelse:\\n    s = 3 * s + 1\\n    \\ncurrent = 2\\nwhile s not in list_a:\\n    list_a.append(s)\\n    if s % 2 == 0:\\n        s = s / 2\\n    else:\\n        s = 3 * s + 1\\n    current += 1\\n\\nprint(current)\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"s=int(input())\\n\\nans=1\\ns_st=set()\\nwhile s not in s_st:\\n  s_st.add(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=3*s+1\\n  ans+=1\\n\\nprint(ans)\", \"import sys\\ns = int(input())\\nf = [0 for _ in range(1000005)]\\nf[s] = 1\\nn = s\\nfor i in range(1000005):\\n  if(n%2==0):\\n    n = int(n/2)\\n  else:\\n    n = int(3*n + 1)\\n  if(f[n] == 1):\\n    print(i+2)\\n    return\\n  else:\\n    f[n] = 1\", \"s = int(input())\\n\\nsec = [s]\\ncount = 1\\nwhile(s):\\n  if sec[-1]%2 == 0:\\n    sec.append(sec[-1]/2)\\n  else:\\n    sec.append(3*sec[-1]+1)\\n  count+=1\\n    \\n  if sec[-1] in sec[:-1]:\\n    print(count)\\n    break\", \"s = int(input())\\nline = [0 for i in range(1000001)]\\nans = 1\\nline[s] += 1\\nwhile True:\\n  ans += 1\\n  if s % 2 == 0:\\n    s = int(s/2)\\n  else:\\n    s = 3*s + 1\\n  line[s] += 1\\n  if line[s] > 1:\\n    break\\nprint(ans)\", \"a = int(input())\\nl = [a]\\nfor i in range(1000000):\\n  if a % 2 == 0:\\n    a = a//2\\n  else:\\n    a = a*3 + 1\\n  if l.count(a)==2:\\n    print((1+max([i for i, x in enumerate(l) if x == a])))\\n    break\\n  else:\\n    l.append(a)\\n\", \"s = int(input())\\na = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = s * 3 + 1\\n    a.append(s)\\n    if a.count(s) == 2:\\n        print(len(a))\\n        break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    if n in a:\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s = int(input())\\na = [s]\\ni = 1\\nwhile True:\\n  if s % 2 == 0:\\n    s = s // 2\\n  else:\\n    s = 3 * s + 1\\n  if s in a:\\n    print(len(a) + 1)\\n    break\\n  a.append(s)\", \"s=int(input())\\ncnt = 1\\nS = [s]\\nwhile(1):\\n  cnt += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    print(cnt)\\n    break\\n  S.append(s)\\n\", \"def readinput():\\n    s=int(input())\\n    return s\\n\\ndef main(s):\\n    hist=[0]*1000001\\n    i=1\\n    n=s\\n    hist[n]+=1\\n    while hist[n]<=1:\\n        if n%2==0:\\n            n=n//2\\n        else:\\n            n=3*n+1\\n        i+=1\\n        hist[n]+=1\\n    return i\\n\\ndef __starting_point():\\n    s=readinput()\\n    ans=main(s)\\n    print(ans)\\n\\n__starting_point()\", \"s = int(input())\\n\\nmp = [False]*(10**6+1)\\ndef even_f(n):\\n    return n//2\\n\\ndef odd_f(n):\\n    return 3*n+1\\n\\nmp[s]=True\\nnow = s\\nfor i in range(1,10**6+1):\\n    if(now%2==0):\\n        now = even_f(now)\\n    else:\\n        now = odd_f(now)\\n\\n    if(mp[now]):\\n        savei=i\\n        break\\n    mp[now]=True\\n\\nprint((savei+1))\\n        \\n\", \"s = int(input())\\nans = [s]\\ni = 1\\nif s == 1 or s == 2:\\n    ans = 4\\nelse:\\n    while ans[i-1] != 4:\\n        if ans[i-1] % 2 ==0:\\n            ans.append(ans[i-1]//2)\\n        else:\\n            ans.append(ans[i-1]*3 + 1 )\\n        i += 1\\n    ans = i + 3\\nprint(ans)\", \"import sys\\n\\n\\ndef input(): return sys.stdin.readline().strip()\\ndef I(): return int(input())\\ndef LI(): return list(map(int, input().split()))\\ndef IR(n): return [I() for i in range(n)]\\ndef LIR(n): return [LI() for i in range(n)]\\ndef SR(n): return [S() for i in range(n)]\\ndef S(): return input()\\ndef LS(): return input().split()\\n\\n\\nINF = float('inf')\\n\\ns = I()\\nvs = set()\\nvs.add(s)\\nnow = 0 + s\\ni = 1\\nwhile True:\\n    i += 1\\n    now = now / 2 if now % 2 == 0 else 3*now + 1\\n    if now in vs:\\n        break\\n    else:\\n        vs.add(now)\\n\\nprint(i)\\n\", \"s = int(input())\\nlist_a = [s]\\n\\nfor i in range(1000000):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] / 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n        \\nfor index, ai in enumerate(list_a, 1):\\n    if ai in list_a[:index - 1]:\\n        print(index)\\n        break\\n\", \"\\nurl = \\\"https://atcoder.jp//contests/abc116/tasks/abc116_b\\\"\\n\\ndef calc(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\n\\ndef main():\\n    s = int(input())\\n    ans = [s]\\n    while True:\\n        tmp = calc(ans[-1])\\n        ans.append(tmp)\\n        if ans.index(tmp) != len(ans)-1:\\n            print((len(ans)))\\n            break\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"s=int(input())\\nL=[]\\nn=1\\nwhile not s in L:\\n  L.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  n+=1\\nprint(n)\", \"n = int(input())\\ndata =[0]* 1000000\\ndata[0] = n\\ni = 2\\nif n % 2 == 0:\\n    data[1] = n //2\\nelse:\\n    data[1] = 3 * n + 1\\nwhile data[i - 1] not in data[0: i -2]:\\n    if data[i-1] % 2 == 0:\\n            data[i] = data[i - 1]//2\\n    else:\\n            data[i] = 3 * data[i - 1] + 1\\n    i += 1\\nprint(i)\", \"s=int(input())\\nG =[]\\nwhile (s not in G):\\n  G.append(s)\\n  if s % 2==0:\\n    s = int(s//2)\\n  else:\\n    s = int(3*s+1)\\nprint(len(G)+1)\", \"s = int(input())\\nl = [s]\\na = set(l)\\nfor i in range(10**6):\\n  if l[-1] % 2 == 0:\\n    n = l[-1] // 2\\n  else:\\n    n = 3*l[-1] + 1\\n  if n not in a:\\n    a.add(n)\\n    l.append(n)\\n  else:\\n    print(len(l)+1)\\n    break\", \"a=int(input())\\ns=set()\\ni=1\\nwhile True:\\n    if a in s:\\n        print(i)\\n        break\\n    s|={a}\\n    if a%2==0:\\n        a>>=1\\n    else:\\n        a=3*a+1\\n    i+=1\\n\", \"s = int(input())\\n\\ndef f(n):\\n    if n%2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\nx = set()\\nans = 0\\nwhile True:\\n    ans += 1\\n    if s in x:\\n        print(ans)\\n        break\\n    x.add(s)\\n    s = f(s)\", \"a=int(input())\\ni=1\\nli=[a]\\nimport copy\\nwhile True:\\n    if li[i-1]%2==0:\\n        b=li[i-1]//2\\n    else:\\n        b=3*li[i-1]+1\\n    if b in li:\\n        print((i+1))\\n        return\\n    li.append(b)\\n    i+=1\\n        \\n\", \"s=int(input())\\ndef f(n):\\n    if n%2==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\na=[0]*(10**8)\\na[s]=1\\ncnt=1\\nfor _ in range(10**7):\\n    s=f(s)\\n    cnt+=1\\n    if a[s]:\\n        print(cnt)\\n        break\\n    a[s]=1\\n\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"n = int(input())\\n\\ndp = [True]*(n*1000000)\\ndp[n] = False\\nres =1\\nwhile n <1000001:\\n    res +=1\\n    if n % 2 ==1:\\n        n = n*3+1\\n    else:\\n        n = n//2\\n    \\n    if dp[n]:\\n        dp[n] = False\\n    else:\\n        print(res)\\n        return\", \"s = int(input())\\n\\na = [0]*(10**6+1)\\nc = [0]*(10**6+1)\\na[1] = s\\nc[s] = 1\\nfor i in range(2, 10**6+1):\\n    v = a[i-1]//2 if a[i-1] % 2 == 0 else 3*a[i-1]+1\\n    a[i] = v\\n    if c[v] == 1:\\n        print(i)\\n        return\\n    c[v] = 1\", \"S = int(input())\\narray = []\\narray.append(S)\\n\\nwhile True:\\n  count = 0\\n  if S % 2 == 0:\\n    S = S / 2\\n    array.append(S)\\n  else:\\n    S = 3 * S + 1\\n    array.append(S)\\n  for i in range(len(array)):\\n    if S == array[i]:\\n      count += 1\\n      if count == 2:\\n        print((i + 1))\\n        return\\n\", \"a=int(input())\\nb=0\\nif a==2:\\n  print(4)\\nelif a==1:\\n  print(4)\\nelse:\\n  while a!=4:\\n    if a%2==0:\\n      a=a//2\\n      b=b+1\\n    else:\\n      a=3*a+1\\n      b=b+1\\n  print(b+4)\", \"s = int(input())\\n\\nans_list = [s]\\ncurr_value = s\\nindex = 1\\nwhile(True):\\n    if curr_value%2==0:\\n        curr_value = int(curr_value/2)\\n    else:\\n        curr_value = 3*curr_value + 1\\n    index += 1\\n    if curr_value in ans_list:\\n        break\\n    else:\\n        ans_list.append(curr_value)\\nprint(index)\", \"a = int(input())\\ns = set([a])\\n\\nfor i in range(10**6):\\n\\tif a % 2 == 0:\\n\\t\\t# print(\\\"Process for even.\\\")\\n\\t\\ta = a//2\\n\\telse:\\n\\t\\t# print(\\\"Process for odd.\\\")\\n\\t\\ta = 3*a + 1\\n\\tif a not in s:\\n\\t\\ts.add(a)\\n\\telse:\\n\\t\\tprint((i+2))\\n\\t\\tbreak\\n\", \"def f(n):\\n\\tif n % 2 == 0:\\n\\t\\treturn n / 2\\n\\telse:\\n\\t\\treturn 3 * n + 1\\n\\t\\t\\ns = int(input())\\n\\na = []\\nfor i in range(1000000):\\n\\tif i == 0:\\n\\t\\ta.append(s)\\n\\telse:\\n\\t\\tif f(a[-1]) in a:\\n\\t\\t\\tprint(i+1)\\n\\t\\t\\tbreak\\n\\t\\telse:\\n\\t\\t\\ta.append(f(a[-1]))\", \"s = int(input())\\nvisited = [False]*(10**6+1)\\n\\nvisited[s] = True\\ncnt = 1\\n\\nwhile True:\\n    if s & 1:\\n        s = s * 3 + 1\\n    else:\\n        s //= 2\\n    \\n    cnt += 1\\n\\n    if visited[s]:\\n        print(cnt)\\n        break\\n\\n    visited[s] = True\", \"s = int(input())\\na = [s]\\nfor i in range(1, 1000001):\\n    if a[i-1]%2 == 0:\\n        x = a[i-1]//2\\n        if x in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(x)\\n    else:\\n        y = a[i-1]*3 + 1\\n        if y in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(y)\", \"from sys import stdin\\n\\ns = int(stdin.readline().strip())\\nmem = []\\na = s\\n\\nfor i in range(1000000):\\n  if a in mem:\\n    print(i+1)\\n    return\\n  mem.append(a)\\n  if a % 2 == 0: a = a // 2\\n  else: a = 3 * a + 1\"]",
        "difficulty": "introductory",
        "input": "3\n",
        "output": "9\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc116/tasks/abc116_b"
    },
    {
        "id": 483,
        "task_id": 4311,
        "test_case_id": 7,
        "question": "A sequence a=\\{a_1,a_2,a_3,......\\} is determined as follows:\n - The first term s is given as input.\n - Let f(n) be the following function: f(n) = n/2 if n is even, and f(n) = 3n+1 if n is odd.\n - a_i = s when i = 1, and a_i = f(a_{i-1}) when i > 1.\nFind the minimum integer m that satisfies the following condition:\n - There exists an integer n such that a_m = a_n (m > n).\n\n-----Constraints-----\n - 1 \\leq s \\leq 100\n - All values in input are integers.\n - It is guaranteed that all elements in a and the minimum m that satisfies the condition are at most 1000000.\n\n-----Input-----\nInput is given from Standard Input in the following format:\ns\n\n-----Output-----\nPrint the minimum integer m that satisfies the condition.\n\n-----Sample Input-----\n8\n\n-----Sample Output-----\n5\n\na=\\{8,4,2,1,4,2,1,4,2,1,......\\}. As a_5=a_2, the answer is 5.",
        "solutions": "[\"from collections import defaultdict\\n\\nd = defaultdict(bool)\\n\\nn = int(input())\\nfor i in range(1000000):\\n\\n    if d[n]:\\n        print((i + 1))\\n        return\\n    d[n] = True\\n    if n & 1:\\n        n = n * 3 + 1\\n    else:\\n        n >>= 1\\n\", \"a=int(input())\\nb=[]\\nb.append(a)\\nwhile True:\\n    if a%2==0:\\n        a=a/2\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\\n    elif a%2!=0:\\n        a=3*a+1\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\", \"s = int(input())\\na = s\\nc = 0\\nif a == 1 or a == 2:\\n  ans = 4\\nelse:\\n  while a != 1:\\n    if a%2 == 0:\\n      a = int(a/2)\\n      c += 1\\n    else:\\n      a = int(3*a+1)\\n      c += 1\\n  ans = c+2\\nprint(ans)\", \"s = int(input())\\nans = [0]*1000001\\ncnt = 1\\n\\nwhile True:\\n    if ans[s] == 0:\\n        ans[s] += 1\\n\\n        if s%2 == 0:\\n            s = s//2\\n        else:\\n            s = 3*s+1\\n        cnt += 1\\n\\n    if ans[s] != 0:\\n        print(cnt)\\n        return\\n\\n\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n\\nprint(i)\", \"n=int(input())\\nli = []\\nwhile not n in li:\\n  li.append(n)\\n  if n % 2 == 0:\\n    n //= 2\\n  else:\\n    n = n * 3 + 1\\n  \\nprint(len(li)+1)\", \"s = int(input())\\n\\nlst = [s]\\nprev = s\\nfor m in range(2, 1000001):\\n    if prev % 2 == 0:\\n        i = int(prev / 2)\\n    else:\\n        i = 3 * prev + 1\\n    if i in lst:\\n        print(m)\\n        break\\n    lst.append(i)\\n    prev = i\", \"s = int(input())\\na = [s]\\nwhile True:\\n  if a.count(a[-1]) == 2:\\n    print(len(a))\\n    return\\n  if a[-1]%2 == 0:\\n    a.append(a[-1]/2)\\n  else:\\n    a.append(3*a[-1]+1)\", \"n = int(input())\\nc = 0\\nx = []\\nwhile True:\\n    c+=1\\n    if n in x:\\n        print(c)\\n        break\\n    x.append(n)\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\", \"n=int(input())\\na=[n]\\ncnt=1\\nwhile len(set(a))==len(a):\\n    if n%2==0: \\n        n//=2\\n    else:\\n        n=3*n+1\\n    a.append(n)\\n    cnt+=1\\nprint(cnt)\\n\", \"s=int(input())\\na=[0]*10**6\\na[0]=s\\n\\ndef f(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x+1\\nt=0 \\nwhile f(a[t])>0:\\n  p=f(a[t])\\n  if p in a:\\n    print((t+2))\\n    return\\n  a[t+1]=p\\n  t+=1\\n\", \"def func(n: int) -> int:\\n    return n // 2 if n % 2 == 0 else n * 3 + 1\\n\\n\\ndef answer(s: int) -> int:\\n    sequence_a = [s]\\n    while True:\\n        num = func(sequence_a[-1])\\n        if num in sequence_a:\\n            return len(sequence_a) + 1\\n        sequence_a.append(num)\\n\\n\\ndef main():\\n    s = int(input())\\n    print((answer(s)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\ndef f(n):\\n    if n % 2 == 0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\ns = k()\\nnum.append(s)\\nwhile True:\\n    cnt += 1\\n    s = f(s)\\n    if s in num:\\n        print((cnt+1))\\n        return\\n    else:\\n        num.append(s)\\n        \\n\\n\\n\", \"s = int(input())\\nTMP = [s]\\n\\nif s==1 or s==2:\\n    print(4)\\nelse:\\n    while TMP[-1]!=1:\\n        if TMP[-1] % 2 == 0:\\n            TMP.append(TMP[-1]//2)\\n        elif TMP[-1] % 2 != 0:\\n            TMP.append(3 * TMP[-1] + 1)\\n    print(len(TMP)+1)\", \"s = int(input())\\nl = []\\ndef myfunc(x):\\n  if x%2 == 0:\\n    x = x//2\\n  else:\\n    x = 3*x + 1\\n  return x\\nfor i in range(10**6):\\n  l.append(s)\\n  s = myfunc(s)\\n  if s in l:\\n    print(i+2)\\n    break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    # \\u524d\\u56de\\u306e\\u5024\\u306b\\u3088\\u3063\\u3066\\u8a08\\u7b97\\u3092\\u5909\\u3048\\u308b\\u3002\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    # \\u6570\\u5217\\u306b\\u540c\\u3058\\u5024\\u304c\\u542b\\u307e\\u308c\\u3066\\u3044\\u308b\\u304b\\u3069\\u3046\\u304b\\uff1f\\n    if n in a:\\n\\t  \\t# \\u914d\\u5217\\u304c0\\u304b\\u3089\\u59cb\\u307e\\u308b\\u305f\\u3081\\u3001\\u30ab\\u30a6\\u30f3\\u30c8\\u30a2\\u30c3\\u30d7\\u3002\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s=int(input())\\ncol=[]\\na=s\\ncount=1\\nwhile True:\\n  col.append(a) \\n  if a%2==0:\\n    a=a/2\\n  else:\\n    a=a*3+1\\n  if a in col:\\n    print(count+1)\\n    break\\n  count+=1\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = []\\nans.append(s)\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"def main():\\n    def f(n):\\n        return 3 * n + 1 if n % 2 else n // 2\\n    s = int(input())\\n    a = [s]\\n    for i in range(1, 11**6):\\n        x = f(a[i-1])\\n        if x in a:\\n            return len(a) + 1; return\\n        a.append(x)\\n\\n\\nprint(main())\", \"s=int(input())\\na=[]\\nans=1\\nwhile True:\\n  a.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  ans+=1\\n  if s in a:\\n    print(ans)\\n    break\", \"s = int(input())\\nli = []\\nli.append(s)\\n\\nfor i in range(1,1000000000):\\n    if li[i-1] % 2 == 0:\\n        li.append(li[i-1]//2)\\n    else:\\n        li.append(li[i-1]*3+1)\\n\\n    for j in range(len(li)-1):\\n        if li[j] ==li[i]:\\n            print((i+1))\\n            return\\n\", \"s = int(input())\\na = [s]\\nb = 1\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = 3 * s + 1\\n    if s in a:\\n        print(len(a) + 1)\\n        return\\n    a.append(s)\", \"s = int(input())\\nL = []\\nfor c in range(2 , 10 ** 6 + 1):\\n  L.append(s)\\n  if s % 2 == 0:\\n    s = s // 2\\n  elif s % 2 == 1:\\n    s = s * 3 + 1\\n  if s in L:\\n    break\\nprint(c)\", \"s = int(input())\\n\\nif s == 1 or s == 2:\\n    print(4)\\n    return\\n\\ndef function(n):\\n    if n % 2 == 0:\\n        return int(n/2)\\n    else:\\n        return int(n*3+1)\\ni = 0\\ncount = 0\\na = []\\na.append(s)\\nwhile count < 2:\\n    a.append(function(a[i]))\\n    if a[i] == 4:\\n        count += 1\\n    i += 1\\nprint(i)\", \"n=int(input())\\nl=[n]\\nwhile True:\\n    if n%2==0:\\n        n//=2\\n    else:\\n        n=n*3+1\\n    if n in l:\\n        break\\n    else:\\n        l.append(n)\\nprint((len(l)+1))\\n\", \"s = int(input())\\nlist_a = [None]\\nlist_a.append(s)\\nans = 0\\nfor i in range(1, 10 ** 6 + 1):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] // 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n    if list_a[i] in list_a[:i]:\\n        ans = i\\n        break\\nprint(ans)\", \"s = int(input())\\nS = [str(s)]\\ni = 1\\nwhile True:\\n    if s % 2 == 0:\\n        i += 1\\n        s = s//2\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\n    else:\\n        i += 1\\n        s = int(3 * s + 1)\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\npass\\n\", \"import sys\\nimport copy\\ns = int(input())\\n\\ndef f(n):\\n    if n%2==0:\\n        return int(n/2)\\n    else:\\n        return 3*n+1\\n\\nfor i in range(1000000):\\n    if i == 0:\\n        a=[s]\\n    else:\\n        a.append(f(a[i-1]))\\n    \\n    if a.count(a[i]) == 2:\\n        print((i+1))\\n        return\\n\", \"# import math\\n# import statistics\\na=int(input())\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\n# e1,e2 = map(int,input().split())\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\n\\nda=True\\nap=[a]\\ncount=1\\nwhile da:\\n    if a%2==0:\\n        a=a//2\\n        ap.append(a)\\n    elif a%2==1:\\n        a=3*a+1\\n        ap.append(a)\\n    count+=1\\n    if len(set(ap))<len(ap):\\n        print(count)\\n        da=False\\n\", \"a = int(input())\\n \\ndic = {}\\ndic[a] = 1\\n\\ni = 1\\nwhile True:\\n  i += 1\\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n    \\n  if a in dic: break\\n  dic[a] = 1\\n  \\nprint(i)\", \"s = int(input())\\n\\nif s < 3:\\n  print(4)\\n  return\\n\\ncnt = 1\\nval = s\\nwhile True:\\n  if cnt > 1 and val == 1:\\n    break\\n  \\n  if val % 2 == 0:\\n    val = val//2\\n  else:\\n    val = val*3+1\\n    \\n  cnt += 1\\n             \\nprint(cnt+1)\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = [s]\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"n = int(input())\\na = [n]\\nindex = 0\\n\\nfor i in range(1, 1000000):\\n    if a[i - 1] % 2 == 0:\\n        m = a[i - 1] / 2\\n    else:\\n        m = 3 * a[i - 1] + 1\\n    if m in a:\\n        index = i + 1\\n        break\\n    a.append(m)\\nprint(index)\", \"s = int(input())\\n\\nmax_ = 1000000\\nchk = [0]*max_\\na = s\\ni = 1\\nwhile i <= max_:\\n    if chk[a] == 0:\\n        chk[a] += 1\\n    else:\\n        print(i)\\n        return\\n    if a%2 == 0:\\n        a = int(a/2)\\n    else:\\n        a = 3*a + 1\\n    i += 1\\n\", \"s = int(input())\\n\\nA = [s]\\nidx = 1\\nwhile True:\\n    n = A[idx-1]\\n    if n % 2:\\n        f = 3*n + 1\\n    else:\\n        f = n / 2\\n    idx += 1\\n    A.append(f)\\n    if len(A) != len(set(A)):\\n        break\\nprint(idx)\", \"s = int(input())\\n\\ncount = 1\\nn = s\\ncheck = 0\\nlist = [s]\\n\\n\\nfor i in range(30000):\\n        if n % 2 == 0:\\n            n = n / 2\\n            list.append(n)\\n        else:\\n            n = n*3 + 1\\n            list.append(n)\\n        \\n        count = count + 1\\n        list.sort()\\n        for j in range(len(list) - 1):\\n            if list[j] ==list[j+1]:\\n                check = 1\\n                break\\n            \\n        if check == 1:\\n            break\\n        \\n\\n\\nprint(count)\\n\\n\", \"S = int(input())\\ns, c = S, 1\\nresult = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    elif s % 2 == 1:\\n        s = s * 3 + 1\\n\\n    result.append(s)\\n    c += 1\\n    if len(set(result)) < len(result):\\n        break\\n\\nprint(c)\", \"#-*-coding:utf-8-*-\\nimport sys\\ninput=sys.stdin.readline\\n\\ndef func(n):\\n    ans =0\\n    if n%2==0:\\n        ans=n//2\\n    else:\\n        ans=3*n+1\\n    return ans\\n\\ndef main():\\n    s = int(input())\\n    dp=[s]\\n    counter=0\\n\\n    if s==1 or s==2:\\n        print(4)\\n        return\\n\\n    while counter < 1000001:\\n        n=dp.pop()\\n        tmp = func(n)\\n        dp.append(n)\\n        dp.append(tmp)\\n        counter+=1\\n        if tmp==4:\\n            print(dp.index(tmp)+4)\\n            break\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\nS = int(input())\\n\\na = [S]\\ncnt = 1\\nwhile True:\\n    if S%2 == 0:\\n        S /= 2\\n    else:\\n        S = 3*S + 1\\n    cnt += 1\\n    if S in a:\\n        break\\n    else:\\n        a.append(S)\\n\\nprint(cnt)\", \"s = int(input())\\n\\nnum_lists = [s]\\ncnt = 1\\nwhile True:\\n    if (num_lists[-1])%2 == 0:\\n        tmp = num_lists[-1]/2\\n    else:\\n        tmp =(num_lists[-1]*3)+1\\n    cnt += 1\\n    if tmp in num_lists:\\n        ans = cnt\\n        break\\n    else:\\n        num_lists.append(tmp)\\n\\nprint(ans)\", \"import sys\\ns=int(input())\\n\\ncnt=0\\n\\nif s==1 or s==2:\\n  print('4')\\n  return\\n\\nwhile s!=4:\\n  if s%2!=0:\\n    s=3*s+1\\n    cnt+=1\\n  elif s%2==0:\\n    s=s//2\\n    cnt+=1\\n\\nif s==4:\\n  print(cnt+4)\", \"s=int(input())\\na=[]\\nna=[]\\na.append(s)\\nfor i in range(1,10**6):\\n    if a[i-1]%2==0:\\n        a.append(a[i-1]/2)\\n    else:\\n        a.append(a[i-1]*3+1)\\n    na=set(a)\\n    if len(na)!=i+1:\\n        print(i+1)\\n        return\", \"s = int(input())\\n\\na = []\\na.append(s)\\nfor i in range(1000000):\\n  if a[i]%2 == 0:\\n    a.append(a[i] // 2)\\n  else:\\n    a.append(3*a[i] + 1)\\n  for j in range(i-1):\\n    if a[i+1] == a[j]:\\n      print(len(a))\\n      return\", \"s = int(input())\\ndef p(n):\\n    if n%2 ==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\nl = [s]\\ncnt = 1\\nwhile True:\\n    cnt +=1\\n    s = p(s)\\n    if s in l:\\n        print(cnt)\\n        return\\n    else:\\n        l.append(s)\", \"s = int (input ())\\nl = []\\na = 0\\nl.append (s)\\nfor i in range (1000000):\\n  a += 1\\n  if s%2 == 0:\\n    s = round(s/2)\\n  else:\\n    s = s*3+1\\n  if l.count (s) != 0:\\n    print (a+1)\\n    break\\n  else:\\n    l.append (s)\", \"s = int(input())\\n\\n\\nclass Solution:\\n    def __init__(self,s):\\n        self.s = s\\n    \\n    def function_a(self):\\n        if self.s % 2 == 0:\\n            return self.s / 2\\n        else:\\n            return 3 * self.s + 1\\n    \\n    def answer(self):\\n        list_a = [self.s]\\n        self.s = self.function_a()\\n        ans = 2\\n        while self.s not in list_a:\\n            list_a.append(self.s)\\n            self.s = self.function_a()\\n            ans += 1\\n        print(ans)\\n\\n\\nconditon = Solution(s)\\nconditon.answer()\", \"S = int(input())\\nl = []\\n\\nwhile S not in l:\\n    l.append(S)\\n    if S%2 == 0:\\n        S //=2\\n    else:\\n        S = 3*S + 1\\nprint((len(l)+1))\\n\", \"s = int(input())\\nS = {s}\\ni = 1\\nwhile True:\\n  i += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    break\\n  S.add(s)\\nprint(i)\", \"s = int(input())\\n\\nbox = set()\\nbox.add(s)\\n\\nfor i in range(2, 1000000):\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = s * 3 + 1\\n  if s in box:\\n    print(i)\\n    return\\n  else:\\n    box.add(s)\\n\", \"s = int(input())\\n\\ndef collatz(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\ncoll = s\\ni = 1\\nwhile 1:\\n    if coll == 1 or coll == 2 or coll == 4:\\n        print(i  + 3)\\n        break\\n    coll = collatz(coll)\\n    i += 1\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n  \\nprint(i)\", \"S=int(input())\\n\\na=[S]\\ntemp=S\\n\\ni=0\\n\\nwhile i<200:\\n\\ti+=1\\n\\tif temp%2==0:\\n\\t\\ta.append(temp//2)\\n\\telse:\\n\\t\\ta.append(temp*3+1)\\n\\ttemp=a[-1]\\n\\nfor n in range(200):\\n\\tfor m in range(n+1,200):\\n\\t\\tif a[n]==a[m]:\\n\\t\\t\\tprint(m+1)\\n\\t\\t\\treturn\", \"s=int(input())\\n\\na_list=[s]\\n\\n\\na=s\\nwhile True:\\n    \\n    if a%2==0:\\n        a=a//2\\n    else:\\n        a=3*a+1\\n    \\n    if a in a_list:\\n        break\\n    else:\\n        a_list.append(a)\\n\\nans=len(a_list)+1\\n\\nprint(ans)\", \"s = int(input())\\na = [s]\\n\\ndef func(n):\\n  if n % 2 == 0:\\n    a.append(n//2)\\n  elif n % 2 == 1:\\n    a.append(3*n + 1)\\n  \\ni = 1\\nwhile True:\\n  func(a[-1])\\n  i += 1\\n  if a.count(a[-1]) == 2:\\n    break\\n  else:\\n    pass\\n\\n\\nprint(i)\", \"def f(n):\\n    if n % 2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\n\\ns = int(input())\\ncnt = 0\\na = [s]\\nwhile True:\\n\\n    temp = f(a[cnt])\\n\\n    if temp in a:\\n        print((len(a)+1))\\n        return\\n    a.append(temp)\\n    cnt += 1\\n\", \"s = int(input())\\n\\ndef f(x):\\n    if x%2 == 0:\\n        return int(x/2)\\n    else:\\n        return 3*x + 1\\ni = 1\\nm_max = 1000000\\nb_s = s\\nb = set([s])\\nwhile i <= m_max:\\n    i += 1\\n    a = f(b_s)\\n    if a in b:\\n        break\\n    b.add(a)\\n    b_s = a\\nprint(i)\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"s = int(input())\\na = [s]\\nans = 0\\nfor i in range(1000000):\\n    if a[i] % 2 == 0:\\n        if a[i]/2 in a:\\n            ans = i + 2\\n            break\\n        a.append(a[i]/2)\\n    else:\\n        if 3*a[i] + 1 in a:\\n            ans = i + 2\\n            break\\n        a.append(3*a[i] + 1)\\nprint(ans)\", \"n = int(input())\\nc = 1\\nx = []\\nx.append(n)\\nwhile True:\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\\n    c+=1\\n    if n in x:\\n        break\\n    x.append(n)\\nprint(c)\", \"import sys\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    S = int(input())\\n\\n    x = set()\\n    x.add(S)\\n\\n    i = 1\\n    prev = S\\n    while True:\\n        i += 1\\n        if prev % 2 == 0:\\n            prev = prev // 2\\n        else:\\n            prev = prev * 3 + 1\\n\\n        if prev in x:\\n            print(i)\\n            return\\n\\n        x.add(prev)\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"s = int(input())\\narr = []\\nans = 0\\ndef calc(n, cnt):\\n    arr.append(n)\\n\\n    if cnt >= 1000000:\\n        return n\\n\\n    if n % 2 == 0:\\n        n = int(n / 2)\\n    else:\\n        n = int(3 * n + 1)\\n\\n    if n in arr:\\n        return cnt\\n\\n    cnt += 1\\n    calc(n, cnt)\\ncalc(s, 0)\\nprint((len(arr) + 1))\\n\", \"def func(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x + 1\\nA = [True for i in range(1000001)]\\nN = int(input())\\ncount = 1\\nwhile A[N]:\\n  A[N] = False\\n  N = func(N)\\n  count += 1\\nprint(count)\", \"a = [int(input())]\\n\\ni = 0\\nwhile True:\\n    if a[i]%2 == 0:\\n        a.append(int(a[i]/2))\\n    else:\\n        a.append(int((3*a[i])+1))\\n    if a.count(a[i]) == 2:\\n        break\\n    i += 1\\n\\nprint(i+1)\", \"s = int(input())\\nlist_a = [s]\\n\\nif s % 2 == 0:\\n    s = s / 2\\nelse:\\n    s = 3 * s + 1\\n    \\ncurrent = 2\\nwhile s not in list_a:\\n    list_a.append(s)\\n    if s % 2 == 0:\\n        s = s / 2\\n    else:\\n        s = 3 * s + 1\\n    current += 1\\n\\nprint(current)\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"s=int(input())\\n\\nans=1\\ns_st=set()\\nwhile s not in s_st:\\n  s_st.add(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=3*s+1\\n  ans+=1\\n\\nprint(ans)\", \"import sys\\ns = int(input())\\nf = [0 for _ in range(1000005)]\\nf[s] = 1\\nn = s\\nfor i in range(1000005):\\n  if(n%2==0):\\n    n = int(n/2)\\n  else:\\n    n = int(3*n + 1)\\n  if(f[n] == 1):\\n    print(i+2)\\n    return\\n  else:\\n    f[n] = 1\", \"s = int(input())\\n\\nsec = [s]\\ncount = 1\\nwhile(s):\\n  if sec[-1]%2 == 0:\\n    sec.append(sec[-1]/2)\\n  else:\\n    sec.append(3*sec[-1]+1)\\n  count+=1\\n    \\n  if sec[-1] in sec[:-1]:\\n    print(count)\\n    break\", \"s = int(input())\\nline = [0 for i in range(1000001)]\\nans = 1\\nline[s] += 1\\nwhile True:\\n  ans += 1\\n  if s % 2 == 0:\\n    s = int(s/2)\\n  else:\\n    s = 3*s + 1\\n  line[s] += 1\\n  if line[s] > 1:\\n    break\\nprint(ans)\", \"a = int(input())\\nl = [a]\\nfor i in range(1000000):\\n  if a % 2 == 0:\\n    a = a//2\\n  else:\\n    a = a*3 + 1\\n  if l.count(a)==2:\\n    print((1+max([i for i, x in enumerate(l) if x == a])))\\n    break\\n  else:\\n    l.append(a)\\n\", \"s = int(input())\\na = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = s * 3 + 1\\n    a.append(s)\\n    if a.count(s) == 2:\\n        print(len(a))\\n        break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    if n in a:\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s = int(input())\\na = [s]\\ni = 1\\nwhile True:\\n  if s % 2 == 0:\\n    s = s // 2\\n  else:\\n    s = 3 * s + 1\\n  if s in a:\\n    print(len(a) + 1)\\n    break\\n  a.append(s)\", \"s=int(input())\\ncnt = 1\\nS = [s]\\nwhile(1):\\n  cnt += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    print(cnt)\\n    break\\n  S.append(s)\\n\", \"def readinput():\\n    s=int(input())\\n    return s\\n\\ndef main(s):\\n    hist=[0]*1000001\\n    i=1\\n    n=s\\n    hist[n]+=1\\n    while hist[n]<=1:\\n        if n%2==0:\\n            n=n//2\\n        else:\\n            n=3*n+1\\n        i+=1\\n        hist[n]+=1\\n    return i\\n\\ndef __starting_point():\\n    s=readinput()\\n    ans=main(s)\\n    print(ans)\\n\\n__starting_point()\", \"s = int(input())\\n\\nmp = [False]*(10**6+1)\\ndef even_f(n):\\n    return n//2\\n\\ndef odd_f(n):\\n    return 3*n+1\\n\\nmp[s]=True\\nnow = s\\nfor i in range(1,10**6+1):\\n    if(now%2==0):\\n        now = even_f(now)\\n    else:\\n        now = odd_f(now)\\n\\n    if(mp[now]):\\n        savei=i\\n        break\\n    mp[now]=True\\n\\nprint((savei+1))\\n        \\n\", \"s = int(input())\\nans = [s]\\ni = 1\\nif s == 1 or s == 2:\\n    ans = 4\\nelse:\\n    while ans[i-1] != 4:\\n        if ans[i-1] % 2 ==0:\\n            ans.append(ans[i-1]//2)\\n        else:\\n            ans.append(ans[i-1]*3 + 1 )\\n        i += 1\\n    ans = i + 3\\nprint(ans)\", \"import sys\\n\\n\\ndef input(): return sys.stdin.readline().strip()\\ndef I(): return int(input())\\ndef LI(): return list(map(int, input().split()))\\ndef IR(n): return [I() for i in range(n)]\\ndef LIR(n): return [LI() for i in range(n)]\\ndef SR(n): return [S() for i in range(n)]\\ndef S(): return input()\\ndef LS(): return input().split()\\n\\n\\nINF = float('inf')\\n\\ns = I()\\nvs = set()\\nvs.add(s)\\nnow = 0 + s\\ni = 1\\nwhile True:\\n    i += 1\\n    now = now / 2 if now % 2 == 0 else 3*now + 1\\n    if now in vs:\\n        break\\n    else:\\n        vs.add(now)\\n\\nprint(i)\\n\", \"s = int(input())\\nlist_a = [s]\\n\\nfor i in range(1000000):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] / 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n        \\nfor index, ai in enumerate(list_a, 1):\\n    if ai in list_a[:index - 1]:\\n        print(index)\\n        break\\n\", \"\\nurl = \\\"https://atcoder.jp//contests/abc116/tasks/abc116_b\\\"\\n\\ndef calc(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\n\\ndef main():\\n    s = int(input())\\n    ans = [s]\\n    while True:\\n        tmp = calc(ans[-1])\\n        ans.append(tmp)\\n        if ans.index(tmp) != len(ans)-1:\\n            print((len(ans)))\\n            break\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"s=int(input())\\nL=[]\\nn=1\\nwhile not s in L:\\n  L.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  n+=1\\nprint(n)\", \"n = int(input())\\ndata =[0]* 1000000\\ndata[0] = n\\ni = 2\\nif n % 2 == 0:\\n    data[1] = n //2\\nelse:\\n    data[1] = 3 * n + 1\\nwhile data[i - 1] not in data[0: i -2]:\\n    if data[i-1] % 2 == 0:\\n            data[i] = data[i - 1]//2\\n    else:\\n            data[i] = 3 * data[i - 1] + 1\\n    i += 1\\nprint(i)\", \"s=int(input())\\nG =[]\\nwhile (s not in G):\\n  G.append(s)\\n  if s % 2==0:\\n    s = int(s//2)\\n  else:\\n    s = int(3*s+1)\\nprint(len(G)+1)\", \"s = int(input())\\nl = [s]\\na = set(l)\\nfor i in range(10**6):\\n  if l[-1] % 2 == 0:\\n    n = l[-1] // 2\\n  else:\\n    n = 3*l[-1] + 1\\n  if n not in a:\\n    a.add(n)\\n    l.append(n)\\n  else:\\n    print(len(l)+1)\\n    break\", \"a=int(input())\\ns=set()\\ni=1\\nwhile True:\\n    if a in s:\\n        print(i)\\n        break\\n    s|={a}\\n    if a%2==0:\\n        a>>=1\\n    else:\\n        a=3*a+1\\n    i+=1\\n\", \"s = int(input())\\n\\ndef f(n):\\n    if n%2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\nx = set()\\nans = 0\\nwhile True:\\n    ans += 1\\n    if s in x:\\n        print(ans)\\n        break\\n    x.add(s)\\n    s = f(s)\", \"a=int(input())\\ni=1\\nli=[a]\\nimport copy\\nwhile True:\\n    if li[i-1]%2==0:\\n        b=li[i-1]//2\\n    else:\\n        b=3*li[i-1]+1\\n    if b in li:\\n        print((i+1))\\n        return\\n    li.append(b)\\n    i+=1\\n        \\n\", \"s=int(input())\\ndef f(n):\\n    if n%2==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\na=[0]*(10**8)\\na[s]=1\\ncnt=1\\nfor _ in range(10**7):\\n    s=f(s)\\n    cnt+=1\\n    if a[s]:\\n        print(cnt)\\n        break\\n    a[s]=1\\n\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"n = int(input())\\n\\ndp = [True]*(n*1000000)\\ndp[n] = False\\nres =1\\nwhile n <1000001:\\n    res +=1\\n    if n % 2 ==1:\\n        n = n*3+1\\n    else:\\n        n = n//2\\n    \\n    if dp[n]:\\n        dp[n] = False\\n    else:\\n        print(res)\\n        return\", \"s = int(input())\\n\\na = [0]*(10**6+1)\\nc = [0]*(10**6+1)\\na[1] = s\\nc[s] = 1\\nfor i in range(2, 10**6+1):\\n    v = a[i-1]//2 if a[i-1] % 2 == 0 else 3*a[i-1]+1\\n    a[i] = v\\n    if c[v] == 1:\\n        print(i)\\n        return\\n    c[v] = 1\", \"S = int(input())\\narray = []\\narray.append(S)\\n\\nwhile True:\\n  count = 0\\n  if S % 2 == 0:\\n    S = S / 2\\n    array.append(S)\\n  else:\\n    S = 3 * S + 1\\n    array.append(S)\\n  for i in range(len(array)):\\n    if S == array[i]:\\n      count += 1\\n      if count == 2:\\n        print((i + 1))\\n        return\\n\", \"a=int(input())\\nb=0\\nif a==2:\\n  print(4)\\nelif a==1:\\n  print(4)\\nelse:\\n  while a!=4:\\n    if a%2==0:\\n      a=a//2\\n      b=b+1\\n    else:\\n      a=3*a+1\\n      b=b+1\\n  print(b+4)\", \"s = int(input())\\n\\nans_list = [s]\\ncurr_value = s\\nindex = 1\\nwhile(True):\\n    if curr_value%2==0:\\n        curr_value = int(curr_value/2)\\n    else:\\n        curr_value = 3*curr_value + 1\\n    index += 1\\n    if curr_value in ans_list:\\n        break\\n    else:\\n        ans_list.append(curr_value)\\nprint(index)\", \"a = int(input())\\ns = set([a])\\n\\nfor i in range(10**6):\\n\\tif a % 2 == 0:\\n\\t\\t# print(\\\"Process for even.\\\")\\n\\t\\ta = a//2\\n\\telse:\\n\\t\\t# print(\\\"Process for odd.\\\")\\n\\t\\ta = 3*a + 1\\n\\tif a not in s:\\n\\t\\ts.add(a)\\n\\telse:\\n\\t\\tprint((i+2))\\n\\t\\tbreak\\n\", \"def f(n):\\n\\tif n % 2 == 0:\\n\\t\\treturn n / 2\\n\\telse:\\n\\t\\treturn 3 * n + 1\\n\\t\\t\\ns = int(input())\\n\\na = []\\nfor i in range(1000000):\\n\\tif i == 0:\\n\\t\\ta.append(s)\\n\\telse:\\n\\t\\tif f(a[-1]) in a:\\n\\t\\t\\tprint(i+1)\\n\\t\\t\\tbreak\\n\\t\\telse:\\n\\t\\t\\ta.append(f(a[-1]))\", \"s = int(input())\\nvisited = [False]*(10**6+1)\\n\\nvisited[s] = True\\ncnt = 1\\n\\nwhile True:\\n    if s & 1:\\n        s = s * 3 + 1\\n    else:\\n        s //= 2\\n    \\n    cnt += 1\\n\\n    if visited[s]:\\n        print(cnt)\\n        break\\n\\n    visited[s] = True\", \"s = int(input())\\na = [s]\\nfor i in range(1, 1000001):\\n    if a[i-1]%2 == 0:\\n        x = a[i-1]//2\\n        if x in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(x)\\n    else:\\n        y = a[i-1]*3 + 1\\n        if y in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(y)\", \"from sys import stdin\\n\\ns = int(stdin.readline().strip())\\nmem = []\\na = s\\n\\nfor i in range(1000000):\\n  if a in mem:\\n    print(i+1)\\n    return\\n  mem.append(a)\\n  if a % 2 == 0: a = a // 2\\n  else: a = 3 * a + 1\"]",
        "difficulty": "introductory",
        "input": "4\n",
        "output": "4\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc116/tasks/abc116_b"
    },
    {
        "id": 484,
        "task_id": 4311,
        "test_case_id": 8,
        "question": "A sequence a=\\{a_1,a_2,a_3,......\\} is determined as follows:\n - The first term s is given as input.\n - Let f(n) be the following function: f(n) = n/2 if n is even, and f(n) = 3n+1 if n is odd.\n - a_i = s when i = 1, and a_i = f(a_{i-1}) when i > 1.\nFind the minimum integer m that satisfies the following condition:\n - There exists an integer n such that a_m = a_n (m > n).\n\n-----Constraints-----\n - 1 \\leq s \\leq 100\n - All values in input are integers.\n - It is guaranteed that all elements in a and the minimum m that satisfies the condition are at most 1000000.\n\n-----Input-----\nInput is given from Standard Input in the following format:\ns\n\n-----Output-----\nPrint the minimum integer m that satisfies the condition.\n\n-----Sample Input-----\n8\n\n-----Sample Output-----\n5\n\na=\\{8,4,2,1,4,2,1,4,2,1,......\\}. As a_5=a_2, the answer is 5.",
        "solutions": "[\"from collections import defaultdict\\n\\nd = defaultdict(bool)\\n\\nn = int(input())\\nfor i in range(1000000):\\n\\n    if d[n]:\\n        print((i + 1))\\n        return\\n    d[n] = True\\n    if n & 1:\\n        n = n * 3 + 1\\n    else:\\n        n >>= 1\\n\", \"a=int(input())\\nb=[]\\nb.append(a)\\nwhile True:\\n    if a%2==0:\\n        a=a/2\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\\n    elif a%2!=0:\\n        a=3*a+1\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\", \"s = int(input())\\na = s\\nc = 0\\nif a == 1 or a == 2:\\n  ans = 4\\nelse:\\n  while a != 1:\\n    if a%2 == 0:\\n      a = int(a/2)\\n      c += 1\\n    else:\\n      a = int(3*a+1)\\n      c += 1\\n  ans = c+2\\nprint(ans)\", \"s = int(input())\\nans = [0]*1000001\\ncnt = 1\\n\\nwhile True:\\n    if ans[s] == 0:\\n        ans[s] += 1\\n\\n        if s%2 == 0:\\n            s = s//2\\n        else:\\n            s = 3*s+1\\n        cnt += 1\\n\\n    if ans[s] != 0:\\n        print(cnt)\\n        return\\n\\n\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n\\nprint(i)\", \"n=int(input())\\nli = []\\nwhile not n in li:\\n  li.append(n)\\n  if n % 2 == 0:\\n    n //= 2\\n  else:\\n    n = n * 3 + 1\\n  \\nprint(len(li)+1)\", \"s = int(input())\\n\\nlst = [s]\\nprev = s\\nfor m in range(2, 1000001):\\n    if prev % 2 == 0:\\n        i = int(prev / 2)\\n    else:\\n        i = 3 * prev + 1\\n    if i in lst:\\n        print(m)\\n        break\\n    lst.append(i)\\n    prev = i\", \"s = int(input())\\na = [s]\\nwhile True:\\n  if a.count(a[-1]) == 2:\\n    print(len(a))\\n    return\\n  if a[-1]%2 == 0:\\n    a.append(a[-1]/2)\\n  else:\\n    a.append(3*a[-1]+1)\", \"n = int(input())\\nc = 0\\nx = []\\nwhile True:\\n    c+=1\\n    if n in x:\\n        print(c)\\n        break\\n    x.append(n)\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\", \"n=int(input())\\na=[n]\\ncnt=1\\nwhile len(set(a))==len(a):\\n    if n%2==0: \\n        n//=2\\n    else:\\n        n=3*n+1\\n    a.append(n)\\n    cnt+=1\\nprint(cnt)\\n\", \"s=int(input())\\na=[0]*10**6\\na[0]=s\\n\\ndef f(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x+1\\nt=0 \\nwhile f(a[t])>0:\\n  p=f(a[t])\\n  if p in a:\\n    print((t+2))\\n    return\\n  a[t+1]=p\\n  t+=1\\n\", \"def func(n: int) -> int:\\n    return n // 2 if n % 2 == 0 else n * 3 + 1\\n\\n\\ndef answer(s: int) -> int:\\n    sequence_a = [s]\\n    while True:\\n        num = func(sequence_a[-1])\\n        if num in sequence_a:\\n            return len(sequence_a) + 1\\n        sequence_a.append(num)\\n\\n\\ndef main():\\n    s = int(input())\\n    print((answer(s)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\ndef f(n):\\n    if n % 2 == 0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\ns = k()\\nnum.append(s)\\nwhile True:\\n    cnt += 1\\n    s = f(s)\\n    if s in num:\\n        print((cnt+1))\\n        return\\n    else:\\n        num.append(s)\\n        \\n\\n\\n\", \"s = int(input())\\nTMP = [s]\\n\\nif s==1 or s==2:\\n    print(4)\\nelse:\\n    while TMP[-1]!=1:\\n        if TMP[-1] % 2 == 0:\\n            TMP.append(TMP[-1]//2)\\n        elif TMP[-1] % 2 != 0:\\n            TMP.append(3 * TMP[-1] + 1)\\n    print(len(TMP)+1)\", \"s = int(input())\\nl = []\\ndef myfunc(x):\\n  if x%2 == 0:\\n    x = x//2\\n  else:\\n    x = 3*x + 1\\n  return x\\nfor i in range(10**6):\\n  l.append(s)\\n  s = myfunc(s)\\n  if s in l:\\n    print(i+2)\\n    break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    # \\u524d\\u56de\\u306e\\u5024\\u306b\\u3088\\u3063\\u3066\\u8a08\\u7b97\\u3092\\u5909\\u3048\\u308b\\u3002\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    # \\u6570\\u5217\\u306b\\u540c\\u3058\\u5024\\u304c\\u542b\\u307e\\u308c\\u3066\\u3044\\u308b\\u304b\\u3069\\u3046\\u304b\\uff1f\\n    if n in a:\\n\\t  \\t# \\u914d\\u5217\\u304c0\\u304b\\u3089\\u59cb\\u307e\\u308b\\u305f\\u3081\\u3001\\u30ab\\u30a6\\u30f3\\u30c8\\u30a2\\u30c3\\u30d7\\u3002\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s=int(input())\\ncol=[]\\na=s\\ncount=1\\nwhile True:\\n  col.append(a) \\n  if a%2==0:\\n    a=a/2\\n  else:\\n    a=a*3+1\\n  if a in col:\\n    print(count+1)\\n    break\\n  count+=1\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = []\\nans.append(s)\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"def main():\\n    def f(n):\\n        return 3 * n + 1 if n % 2 else n // 2\\n    s = int(input())\\n    a = [s]\\n    for i in range(1, 11**6):\\n        x = f(a[i-1])\\n        if x in a:\\n            return len(a) + 1; return\\n        a.append(x)\\n\\n\\nprint(main())\", \"s=int(input())\\na=[]\\nans=1\\nwhile True:\\n  a.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  ans+=1\\n  if s in a:\\n    print(ans)\\n    break\", \"s = int(input())\\nli = []\\nli.append(s)\\n\\nfor i in range(1,1000000000):\\n    if li[i-1] % 2 == 0:\\n        li.append(li[i-1]//2)\\n    else:\\n        li.append(li[i-1]*3+1)\\n\\n    for j in range(len(li)-1):\\n        if li[j] ==li[i]:\\n            print((i+1))\\n            return\\n\", \"s = int(input())\\na = [s]\\nb = 1\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = 3 * s + 1\\n    if s in a:\\n        print(len(a) + 1)\\n        return\\n    a.append(s)\", \"s = int(input())\\nL = []\\nfor c in range(2 , 10 ** 6 + 1):\\n  L.append(s)\\n  if s % 2 == 0:\\n    s = s // 2\\n  elif s % 2 == 1:\\n    s = s * 3 + 1\\n  if s in L:\\n    break\\nprint(c)\", \"s = int(input())\\n\\nif s == 1 or s == 2:\\n    print(4)\\n    return\\n\\ndef function(n):\\n    if n % 2 == 0:\\n        return int(n/2)\\n    else:\\n        return int(n*3+1)\\ni = 0\\ncount = 0\\na = []\\na.append(s)\\nwhile count < 2:\\n    a.append(function(a[i]))\\n    if a[i] == 4:\\n        count += 1\\n    i += 1\\nprint(i)\", \"n=int(input())\\nl=[n]\\nwhile True:\\n    if n%2==0:\\n        n//=2\\n    else:\\n        n=n*3+1\\n    if n in l:\\n        break\\n    else:\\n        l.append(n)\\nprint((len(l)+1))\\n\", \"s = int(input())\\nlist_a = [None]\\nlist_a.append(s)\\nans = 0\\nfor i in range(1, 10 ** 6 + 1):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] // 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n    if list_a[i] in list_a[:i]:\\n        ans = i\\n        break\\nprint(ans)\", \"s = int(input())\\nS = [str(s)]\\ni = 1\\nwhile True:\\n    if s % 2 == 0:\\n        i += 1\\n        s = s//2\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\n    else:\\n        i += 1\\n        s = int(3 * s + 1)\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\npass\\n\", \"import sys\\nimport copy\\ns = int(input())\\n\\ndef f(n):\\n    if n%2==0:\\n        return int(n/2)\\n    else:\\n        return 3*n+1\\n\\nfor i in range(1000000):\\n    if i == 0:\\n        a=[s]\\n    else:\\n        a.append(f(a[i-1]))\\n    \\n    if a.count(a[i]) == 2:\\n        print((i+1))\\n        return\\n\", \"# import math\\n# import statistics\\na=int(input())\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\n# e1,e2 = map(int,input().split())\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\n\\nda=True\\nap=[a]\\ncount=1\\nwhile da:\\n    if a%2==0:\\n        a=a//2\\n        ap.append(a)\\n    elif a%2==1:\\n        a=3*a+1\\n        ap.append(a)\\n    count+=1\\n    if len(set(ap))<len(ap):\\n        print(count)\\n        da=False\\n\", \"a = int(input())\\n \\ndic = {}\\ndic[a] = 1\\n\\ni = 1\\nwhile True:\\n  i += 1\\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n    \\n  if a in dic: break\\n  dic[a] = 1\\n  \\nprint(i)\", \"s = int(input())\\n\\nif s < 3:\\n  print(4)\\n  return\\n\\ncnt = 1\\nval = s\\nwhile True:\\n  if cnt > 1 and val == 1:\\n    break\\n  \\n  if val % 2 == 0:\\n    val = val//2\\n  else:\\n    val = val*3+1\\n    \\n  cnt += 1\\n             \\nprint(cnt+1)\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = [s]\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"n = int(input())\\na = [n]\\nindex = 0\\n\\nfor i in range(1, 1000000):\\n    if a[i - 1] % 2 == 0:\\n        m = a[i - 1] / 2\\n    else:\\n        m = 3 * a[i - 1] + 1\\n    if m in a:\\n        index = i + 1\\n        break\\n    a.append(m)\\nprint(index)\", \"s = int(input())\\n\\nmax_ = 1000000\\nchk = [0]*max_\\na = s\\ni = 1\\nwhile i <= max_:\\n    if chk[a] == 0:\\n        chk[a] += 1\\n    else:\\n        print(i)\\n        return\\n    if a%2 == 0:\\n        a = int(a/2)\\n    else:\\n        a = 3*a + 1\\n    i += 1\\n\", \"s = int(input())\\n\\nA = [s]\\nidx = 1\\nwhile True:\\n    n = A[idx-1]\\n    if n % 2:\\n        f = 3*n + 1\\n    else:\\n        f = n / 2\\n    idx += 1\\n    A.append(f)\\n    if len(A) != len(set(A)):\\n        break\\nprint(idx)\", \"s = int(input())\\n\\ncount = 1\\nn = s\\ncheck = 0\\nlist = [s]\\n\\n\\nfor i in range(30000):\\n        if n % 2 == 0:\\n            n = n / 2\\n            list.append(n)\\n        else:\\n            n = n*3 + 1\\n            list.append(n)\\n        \\n        count = count + 1\\n        list.sort()\\n        for j in range(len(list) - 1):\\n            if list[j] ==list[j+1]:\\n                check = 1\\n                break\\n            \\n        if check == 1:\\n            break\\n        \\n\\n\\nprint(count)\\n\\n\", \"S = int(input())\\ns, c = S, 1\\nresult = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    elif s % 2 == 1:\\n        s = s * 3 + 1\\n\\n    result.append(s)\\n    c += 1\\n    if len(set(result)) < len(result):\\n        break\\n\\nprint(c)\", \"#-*-coding:utf-8-*-\\nimport sys\\ninput=sys.stdin.readline\\n\\ndef func(n):\\n    ans =0\\n    if n%2==0:\\n        ans=n//2\\n    else:\\n        ans=3*n+1\\n    return ans\\n\\ndef main():\\n    s = int(input())\\n    dp=[s]\\n    counter=0\\n\\n    if s==1 or s==2:\\n        print(4)\\n        return\\n\\n    while counter < 1000001:\\n        n=dp.pop()\\n        tmp = func(n)\\n        dp.append(n)\\n        dp.append(tmp)\\n        counter+=1\\n        if tmp==4:\\n            print(dp.index(tmp)+4)\\n            break\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\nS = int(input())\\n\\na = [S]\\ncnt = 1\\nwhile True:\\n    if S%2 == 0:\\n        S /= 2\\n    else:\\n        S = 3*S + 1\\n    cnt += 1\\n    if S in a:\\n        break\\n    else:\\n        a.append(S)\\n\\nprint(cnt)\", \"s = int(input())\\n\\nnum_lists = [s]\\ncnt = 1\\nwhile True:\\n    if (num_lists[-1])%2 == 0:\\n        tmp = num_lists[-1]/2\\n    else:\\n        tmp =(num_lists[-1]*3)+1\\n    cnt += 1\\n    if tmp in num_lists:\\n        ans = cnt\\n        break\\n    else:\\n        num_lists.append(tmp)\\n\\nprint(ans)\", \"import sys\\ns=int(input())\\n\\ncnt=0\\n\\nif s==1 or s==2:\\n  print('4')\\n  return\\n\\nwhile s!=4:\\n  if s%2!=0:\\n    s=3*s+1\\n    cnt+=1\\n  elif s%2==0:\\n    s=s//2\\n    cnt+=1\\n\\nif s==4:\\n  print(cnt+4)\", \"s=int(input())\\na=[]\\nna=[]\\na.append(s)\\nfor i in range(1,10**6):\\n    if a[i-1]%2==0:\\n        a.append(a[i-1]/2)\\n    else:\\n        a.append(a[i-1]*3+1)\\n    na=set(a)\\n    if len(na)!=i+1:\\n        print(i+1)\\n        return\", \"s = int(input())\\n\\na = []\\na.append(s)\\nfor i in range(1000000):\\n  if a[i]%2 == 0:\\n    a.append(a[i] // 2)\\n  else:\\n    a.append(3*a[i] + 1)\\n  for j in range(i-1):\\n    if a[i+1] == a[j]:\\n      print(len(a))\\n      return\", \"s = int(input())\\ndef p(n):\\n    if n%2 ==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\nl = [s]\\ncnt = 1\\nwhile True:\\n    cnt +=1\\n    s = p(s)\\n    if s in l:\\n        print(cnt)\\n        return\\n    else:\\n        l.append(s)\", \"s = int (input ())\\nl = []\\na = 0\\nl.append (s)\\nfor i in range (1000000):\\n  a += 1\\n  if s%2 == 0:\\n    s = round(s/2)\\n  else:\\n    s = s*3+1\\n  if l.count (s) != 0:\\n    print (a+1)\\n    break\\n  else:\\n    l.append (s)\", \"s = int(input())\\n\\n\\nclass Solution:\\n    def __init__(self,s):\\n        self.s = s\\n    \\n    def function_a(self):\\n        if self.s % 2 == 0:\\n            return self.s / 2\\n        else:\\n            return 3 * self.s + 1\\n    \\n    def answer(self):\\n        list_a = [self.s]\\n        self.s = self.function_a()\\n        ans = 2\\n        while self.s not in list_a:\\n            list_a.append(self.s)\\n            self.s = self.function_a()\\n            ans += 1\\n        print(ans)\\n\\n\\nconditon = Solution(s)\\nconditon.answer()\", \"S = int(input())\\nl = []\\n\\nwhile S not in l:\\n    l.append(S)\\n    if S%2 == 0:\\n        S //=2\\n    else:\\n        S = 3*S + 1\\nprint((len(l)+1))\\n\", \"s = int(input())\\nS = {s}\\ni = 1\\nwhile True:\\n  i += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    break\\n  S.add(s)\\nprint(i)\", \"s = int(input())\\n\\nbox = set()\\nbox.add(s)\\n\\nfor i in range(2, 1000000):\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = s * 3 + 1\\n  if s in box:\\n    print(i)\\n    return\\n  else:\\n    box.add(s)\\n\", \"s = int(input())\\n\\ndef collatz(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\ncoll = s\\ni = 1\\nwhile 1:\\n    if coll == 1 or coll == 2 or coll == 4:\\n        print(i  + 3)\\n        break\\n    coll = collatz(coll)\\n    i += 1\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n  \\nprint(i)\", \"S=int(input())\\n\\na=[S]\\ntemp=S\\n\\ni=0\\n\\nwhile i<200:\\n\\ti+=1\\n\\tif temp%2==0:\\n\\t\\ta.append(temp//2)\\n\\telse:\\n\\t\\ta.append(temp*3+1)\\n\\ttemp=a[-1]\\n\\nfor n in range(200):\\n\\tfor m in range(n+1,200):\\n\\t\\tif a[n]==a[m]:\\n\\t\\t\\tprint(m+1)\\n\\t\\t\\treturn\", \"s=int(input())\\n\\na_list=[s]\\n\\n\\na=s\\nwhile True:\\n    \\n    if a%2==0:\\n        a=a//2\\n    else:\\n        a=3*a+1\\n    \\n    if a in a_list:\\n        break\\n    else:\\n        a_list.append(a)\\n\\nans=len(a_list)+1\\n\\nprint(ans)\", \"s = int(input())\\na = [s]\\n\\ndef func(n):\\n  if n % 2 == 0:\\n    a.append(n//2)\\n  elif n % 2 == 1:\\n    a.append(3*n + 1)\\n  \\ni = 1\\nwhile True:\\n  func(a[-1])\\n  i += 1\\n  if a.count(a[-1]) == 2:\\n    break\\n  else:\\n    pass\\n\\n\\nprint(i)\", \"def f(n):\\n    if n % 2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\n\\ns = int(input())\\ncnt = 0\\na = [s]\\nwhile True:\\n\\n    temp = f(a[cnt])\\n\\n    if temp in a:\\n        print((len(a)+1))\\n        return\\n    a.append(temp)\\n    cnt += 1\\n\", \"s = int(input())\\n\\ndef f(x):\\n    if x%2 == 0:\\n        return int(x/2)\\n    else:\\n        return 3*x + 1\\ni = 1\\nm_max = 1000000\\nb_s = s\\nb = set([s])\\nwhile i <= m_max:\\n    i += 1\\n    a = f(b_s)\\n    if a in b:\\n        break\\n    b.add(a)\\n    b_s = a\\nprint(i)\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"s = int(input())\\na = [s]\\nans = 0\\nfor i in range(1000000):\\n    if a[i] % 2 == 0:\\n        if a[i]/2 in a:\\n            ans = i + 2\\n            break\\n        a.append(a[i]/2)\\n    else:\\n        if 3*a[i] + 1 in a:\\n            ans = i + 2\\n            break\\n        a.append(3*a[i] + 1)\\nprint(ans)\", \"n = int(input())\\nc = 1\\nx = []\\nx.append(n)\\nwhile True:\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\\n    c+=1\\n    if n in x:\\n        break\\n    x.append(n)\\nprint(c)\", \"import sys\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    S = int(input())\\n\\n    x = set()\\n    x.add(S)\\n\\n    i = 1\\n    prev = S\\n    while True:\\n        i += 1\\n        if prev % 2 == 0:\\n            prev = prev // 2\\n        else:\\n            prev = prev * 3 + 1\\n\\n        if prev in x:\\n            print(i)\\n            return\\n\\n        x.add(prev)\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"s = int(input())\\narr = []\\nans = 0\\ndef calc(n, cnt):\\n    arr.append(n)\\n\\n    if cnt >= 1000000:\\n        return n\\n\\n    if n % 2 == 0:\\n        n = int(n / 2)\\n    else:\\n        n = int(3 * n + 1)\\n\\n    if n in arr:\\n        return cnt\\n\\n    cnt += 1\\n    calc(n, cnt)\\ncalc(s, 0)\\nprint((len(arr) + 1))\\n\", \"def func(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x + 1\\nA = [True for i in range(1000001)]\\nN = int(input())\\ncount = 1\\nwhile A[N]:\\n  A[N] = False\\n  N = func(N)\\n  count += 1\\nprint(count)\", \"a = [int(input())]\\n\\ni = 0\\nwhile True:\\n    if a[i]%2 == 0:\\n        a.append(int(a[i]/2))\\n    else:\\n        a.append(int((3*a[i])+1))\\n    if a.count(a[i]) == 2:\\n        break\\n    i += 1\\n\\nprint(i+1)\", \"s = int(input())\\nlist_a = [s]\\n\\nif s % 2 == 0:\\n    s = s / 2\\nelse:\\n    s = 3 * s + 1\\n    \\ncurrent = 2\\nwhile s not in list_a:\\n    list_a.append(s)\\n    if s % 2 == 0:\\n        s = s / 2\\n    else:\\n        s = 3 * s + 1\\n    current += 1\\n\\nprint(current)\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"s=int(input())\\n\\nans=1\\ns_st=set()\\nwhile s not in s_st:\\n  s_st.add(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=3*s+1\\n  ans+=1\\n\\nprint(ans)\", \"import sys\\ns = int(input())\\nf = [0 for _ in range(1000005)]\\nf[s] = 1\\nn = s\\nfor i in range(1000005):\\n  if(n%2==0):\\n    n = int(n/2)\\n  else:\\n    n = int(3*n + 1)\\n  if(f[n] == 1):\\n    print(i+2)\\n    return\\n  else:\\n    f[n] = 1\", \"s = int(input())\\n\\nsec = [s]\\ncount = 1\\nwhile(s):\\n  if sec[-1]%2 == 0:\\n    sec.append(sec[-1]/2)\\n  else:\\n    sec.append(3*sec[-1]+1)\\n  count+=1\\n    \\n  if sec[-1] in sec[:-1]:\\n    print(count)\\n    break\", \"s = int(input())\\nline = [0 for i in range(1000001)]\\nans = 1\\nline[s] += 1\\nwhile True:\\n  ans += 1\\n  if s % 2 == 0:\\n    s = int(s/2)\\n  else:\\n    s = 3*s + 1\\n  line[s] += 1\\n  if line[s] > 1:\\n    break\\nprint(ans)\", \"a = int(input())\\nl = [a]\\nfor i in range(1000000):\\n  if a % 2 == 0:\\n    a = a//2\\n  else:\\n    a = a*3 + 1\\n  if l.count(a)==2:\\n    print((1+max([i for i, x in enumerate(l) if x == a])))\\n    break\\n  else:\\n    l.append(a)\\n\", \"s = int(input())\\na = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = s * 3 + 1\\n    a.append(s)\\n    if a.count(s) == 2:\\n        print(len(a))\\n        break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    if n in a:\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s = int(input())\\na = [s]\\ni = 1\\nwhile True:\\n  if s % 2 == 0:\\n    s = s // 2\\n  else:\\n    s = 3 * s + 1\\n  if s in a:\\n    print(len(a) + 1)\\n    break\\n  a.append(s)\", \"s=int(input())\\ncnt = 1\\nS = [s]\\nwhile(1):\\n  cnt += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    print(cnt)\\n    break\\n  S.append(s)\\n\", \"def readinput():\\n    s=int(input())\\n    return s\\n\\ndef main(s):\\n    hist=[0]*1000001\\n    i=1\\n    n=s\\n    hist[n]+=1\\n    while hist[n]<=1:\\n        if n%2==0:\\n            n=n//2\\n        else:\\n            n=3*n+1\\n        i+=1\\n        hist[n]+=1\\n    return i\\n\\ndef __starting_point():\\n    s=readinput()\\n    ans=main(s)\\n    print(ans)\\n\\n__starting_point()\", \"s = int(input())\\n\\nmp = [False]*(10**6+1)\\ndef even_f(n):\\n    return n//2\\n\\ndef odd_f(n):\\n    return 3*n+1\\n\\nmp[s]=True\\nnow = s\\nfor i in range(1,10**6+1):\\n    if(now%2==0):\\n        now = even_f(now)\\n    else:\\n        now = odd_f(now)\\n\\n    if(mp[now]):\\n        savei=i\\n        break\\n    mp[now]=True\\n\\nprint((savei+1))\\n        \\n\", \"s = int(input())\\nans = [s]\\ni = 1\\nif s == 1 or s == 2:\\n    ans = 4\\nelse:\\n    while ans[i-1] != 4:\\n        if ans[i-1] % 2 ==0:\\n            ans.append(ans[i-1]//2)\\n        else:\\n            ans.append(ans[i-1]*3 + 1 )\\n        i += 1\\n    ans = i + 3\\nprint(ans)\", \"import sys\\n\\n\\ndef input(): return sys.stdin.readline().strip()\\ndef I(): return int(input())\\ndef LI(): return list(map(int, input().split()))\\ndef IR(n): return [I() for i in range(n)]\\ndef LIR(n): return [LI() for i in range(n)]\\ndef SR(n): return [S() for i in range(n)]\\ndef S(): return input()\\ndef LS(): return input().split()\\n\\n\\nINF = float('inf')\\n\\ns = I()\\nvs = set()\\nvs.add(s)\\nnow = 0 + s\\ni = 1\\nwhile True:\\n    i += 1\\n    now = now / 2 if now % 2 == 0 else 3*now + 1\\n    if now in vs:\\n        break\\n    else:\\n        vs.add(now)\\n\\nprint(i)\\n\", \"s = int(input())\\nlist_a = [s]\\n\\nfor i in range(1000000):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] / 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n        \\nfor index, ai in enumerate(list_a, 1):\\n    if ai in list_a[:index - 1]:\\n        print(index)\\n        break\\n\", \"\\nurl = \\\"https://atcoder.jp//contests/abc116/tasks/abc116_b\\\"\\n\\ndef calc(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\n\\ndef main():\\n    s = int(input())\\n    ans = [s]\\n    while True:\\n        tmp = calc(ans[-1])\\n        ans.append(tmp)\\n        if ans.index(tmp) != len(ans)-1:\\n            print((len(ans)))\\n            break\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"s=int(input())\\nL=[]\\nn=1\\nwhile not s in L:\\n  L.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  n+=1\\nprint(n)\", \"n = int(input())\\ndata =[0]* 1000000\\ndata[0] = n\\ni = 2\\nif n % 2 == 0:\\n    data[1] = n //2\\nelse:\\n    data[1] = 3 * n + 1\\nwhile data[i - 1] not in data[0: i -2]:\\n    if data[i-1] % 2 == 0:\\n            data[i] = data[i - 1]//2\\n    else:\\n            data[i] = 3 * data[i - 1] + 1\\n    i += 1\\nprint(i)\", \"s=int(input())\\nG =[]\\nwhile (s not in G):\\n  G.append(s)\\n  if s % 2==0:\\n    s = int(s//2)\\n  else:\\n    s = int(3*s+1)\\nprint(len(G)+1)\", \"s = int(input())\\nl = [s]\\na = set(l)\\nfor i in range(10**6):\\n  if l[-1] % 2 == 0:\\n    n = l[-1] // 2\\n  else:\\n    n = 3*l[-1] + 1\\n  if n not in a:\\n    a.add(n)\\n    l.append(n)\\n  else:\\n    print(len(l)+1)\\n    break\", \"a=int(input())\\ns=set()\\ni=1\\nwhile True:\\n    if a in s:\\n        print(i)\\n        break\\n    s|={a}\\n    if a%2==0:\\n        a>>=1\\n    else:\\n        a=3*a+1\\n    i+=1\\n\", \"s = int(input())\\n\\ndef f(n):\\n    if n%2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\nx = set()\\nans = 0\\nwhile True:\\n    ans += 1\\n    if s in x:\\n        print(ans)\\n        break\\n    x.add(s)\\n    s = f(s)\", \"a=int(input())\\ni=1\\nli=[a]\\nimport copy\\nwhile True:\\n    if li[i-1]%2==0:\\n        b=li[i-1]//2\\n    else:\\n        b=3*li[i-1]+1\\n    if b in li:\\n        print((i+1))\\n        return\\n    li.append(b)\\n    i+=1\\n        \\n\", \"s=int(input())\\ndef f(n):\\n    if n%2==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\na=[0]*(10**8)\\na[s]=1\\ncnt=1\\nfor _ in range(10**7):\\n    s=f(s)\\n    cnt+=1\\n    if a[s]:\\n        print(cnt)\\n        break\\n    a[s]=1\\n\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"n = int(input())\\n\\ndp = [True]*(n*1000000)\\ndp[n] = False\\nres =1\\nwhile n <1000001:\\n    res +=1\\n    if n % 2 ==1:\\n        n = n*3+1\\n    else:\\n        n = n//2\\n    \\n    if dp[n]:\\n        dp[n] = False\\n    else:\\n        print(res)\\n        return\", \"s = int(input())\\n\\na = [0]*(10**6+1)\\nc = [0]*(10**6+1)\\na[1] = s\\nc[s] = 1\\nfor i in range(2, 10**6+1):\\n    v = a[i-1]//2 if a[i-1] % 2 == 0 else 3*a[i-1]+1\\n    a[i] = v\\n    if c[v] == 1:\\n        print(i)\\n        return\\n    c[v] = 1\", \"S = int(input())\\narray = []\\narray.append(S)\\n\\nwhile True:\\n  count = 0\\n  if S % 2 == 0:\\n    S = S / 2\\n    array.append(S)\\n  else:\\n    S = 3 * S + 1\\n    array.append(S)\\n  for i in range(len(array)):\\n    if S == array[i]:\\n      count += 1\\n      if count == 2:\\n        print((i + 1))\\n        return\\n\", \"a=int(input())\\nb=0\\nif a==2:\\n  print(4)\\nelif a==1:\\n  print(4)\\nelse:\\n  while a!=4:\\n    if a%2==0:\\n      a=a//2\\n      b=b+1\\n    else:\\n      a=3*a+1\\n      b=b+1\\n  print(b+4)\", \"s = int(input())\\n\\nans_list = [s]\\ncurr_value = s\\nindex = 1\\nwhile(True):\\n    if curr_value%2==0:\\n        curr_value = int(curr_value/2)\\n    else:\\n        curr_value = 3*curr_value + 1\\n    index += 1\\n    if curr_value in ans_list:\\n        break\\n    else:\\n        ans_list.append(curr_value)\\nprint(index)\", \"a = int(input())\\ns = set([a])\\n\\nfor i in range(10**6):\\n\\tif a % 2 == 0:\\n\\t\\t# print(\\\"Process for even.\\\")\\n\\t\\ta = a//2\\n\\telse:\\n\\t\\t# print(\\\"Process for odd.\\\")\\n\\t\\ta = 3*a + 1\\n\\tif a not in s:\\n\\t\\ts.add(a)\\n\\telse:\\n\\t\\tprint((i+2))\\n\\t\\tbreak\\n\", \"def f(n):\\n\\tif n % 2 == 0:\\n\\t\\treturn n / 2\\n\\telse:\\n\\t\\treturn 3 * n + 1\\n\\t\\t\\ns = int(input())\\n\\na = []\\nfor i in range(1000000):\\n\\tif i == 0:\\n\\t\\ta.append(s)\\n\\telse:\\n\\t\\tif f(a[-1]) in a:\\n\\t\\t\\tprint(i+1)\\n\\t\\t\\tbreak\\n\\t\\telse:\\n\\t\\t\\ta.append(f(a[-1]))\", \"s = int(input())\\nvisited = [False]*(10**6+1)\\n\\nvisited[s] = True\\ncnt = 1\\n\\nwhile True:\\n    if s & 1:\\n        s = s * 3 + 1\\n    else:\\n        s //= 2\\n    \\n    cnt += 1\\n\\n    if visited[s]:\\n        print(cnt)\\n        break\\n\\n    visited[s] = True\", \"s = int(input())\\na = [s]\\nfor i in range(1, 1000001):\\n    if a[i-1]%2 == 0:\\n        x = a[i-1]//2\\n        if x in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(x)\\n    else:\\n        y = a[i-1]*3 + 1\\n        if y in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(y)\", \"from sys import stdin\\n\\ns = int(stdin.readline().strip())\\nmem = []\\na = s\\n\\nfor i in range(1000000):\\n  if a in mem:\\n    print(i+1)\\n    return\\n  mem.append(a)\\n  if a % 2 == 0: a = a // 2\\n  else: a = 3 * a + 1\"]",
        "difficulty": "introductory",
        "input": "100\n",
        "output": "27\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc116/tasks/abc116_b"
    },
    {
        "id": 485,
        "task_id": 4311,
        "test_case_id": 9,
        "question": "A sequence a=\\{a_1,a_2,a_3,......\\} is determined as follows:\n - The first term s is given as input.\n - Let f(n) be the following function: f(n) = n/2 if n is even, and f(n) = 3n+1 if n is odd.\n - a_i = s when i = 1, and a_i = f(a_{i-1}) when i > 1.\nFind the minimum integer m that satisfies the following condition:\n - There exists an integer n such that a_m = a_n (m > n).\n\n-----Constraints-----\n - 1 \\leq s \\leq 100\n - All values in input are integers.\n - It is guaranteed that all elements in a and the minimum m that satisfies the condition are at most 1000000.\n\n-----Input-----\nInput is given from Standard Input in the following format:\ns\n\n-----Output-----\nPrint the minimum integer m that satisfies the condition.\n\n-----Sample Input-----\n8\n\n-----Sample Output-----\n5\n\na=\\{8,4,2,1,4,2,1,4,2,1,......\\}. As a_5=a_2, the answer is 5.",
        "solutions": "[\"from collections import defaultdict\\n\\nd = defaultdict(bool)\\n\\nn = int(input())\\nfor i in range(1000000):\\n\\n    if d[n]:\\n        print((i + 1))\\n        return\\n    d[n] = True\\n    if n & 1:\\n        n = n * 3 + 1\\n    else:\\n        n >>= 1\\n\", \"a=int(input())\\nb=[]\\nb.append(a)\\nwhile True:\\n    if a%2==0:\\n        a=a/2\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\\n    elif a%2!=0:\\n        a=3*a+1\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\", \"s = int(input())\\na = s\\nc = 0\\nif a == 1 or a == 2:\\n  ans = 4\\nelse:\\n  while a != 1:\\n    if a%2 == 0:\\n      a = int(a/2)\\n      c += 1\\n    else:\\n      a = int(3*a+1)\\n      c += 1\\n  ans = c+2\\nprint(ans)\", \"s = int(input())\\nans = [0]*1000001\\ncnt = 1\\n\\nwhile True:\\n    if ans[s] == 0:\\n        ans[s] += 1\\n\\n        if s%2 == 0:\\n            s = s//2\\n        else:\\n            s = 3*s+1\\n        cnt += 1\\n\\n    if ans[s] != 0:\\n        print(cnt)\\n        return\\n\\n\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n\\nprint(i)\", \"n=int(input())\\nli = []\\nwhile not n in li:\\n  li.append(n)\\n  if n % 2 == 0:\\n    n //= 2\\n  else:\\n    n = n * 3 + 1\\n  \\nprint(len(li)+1)\", \"s = int(input())\\n\\nlst = [s]\\nprev = s\\nfor m in range(2, 1000001):\\n    if prev % 2 == 0:\\n        i = int(prev / 2)\\n    else:\\n        i = 3 * prev + 1\\n    if i in lst:\\n        print(m)\\n        break\\n    lst.append(i)\\n    prev = i\", \"s = int(input())\\na = [s]\\nwhile True:\\n  if a.count(a[-1]) == 2:\\n    print(len(a))\\n    return\\n  if a[-1]%2 == 0:\\n    a.append(a[-1]/2)\\n  else:\\n    a.append(3*a[-1]+1)\", \"n = int(input())\\nc = 0\\nx = []\\nwhile True:\\n    c+=1\\n    if n in x:\\n        print(c)\\n        break\\n    x.append(n)\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\", \"n=int(input())\\na=[n]\\ncnt=1\\nwhile len(set(a))==len(a):\\n    if n%2==0: \\n        n//=2\\n    else:\\n        n=3*n+1\\n    a.append(n)\\n    cnt+=1\\nprint(cnt)\\n\", \"s=int(input())\\na=[0]*10**6\\na[0]=s\\n\\ndef f(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x+1\\nt=0 \\nwhile f(a[t])>0:\\n  p=f(a[t])\\n  if p in a:\\n    print((t+2))\\n    return\\n  a[t+1]=p\\n  t+=1\\n\", \"def func(n: int) -> int:\\n    return n // 2 if n % 2 == 0 else n * 3 + 1\\n\\n\\ndef answer(s: int) -> int:\\n    sequence_a = [s]\\n    while True:\\n        num = func(sequence_a[-1])\\n        if num in sequence_a:\\n            return len(sequence_a) + 1\\n        sequence_a.append(num)\\n\\n\\ndef main():\\n    s = int(input())\\n    print((answer(s)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\ndef f(n):\\n    if n % 2 == 0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\ns = k()\\nnum.append(s)\\nwhile True:\\n    cnt += 1\\n    s = f(s)\\n    if s in num:\\n        print((cnt+1))\\n        return\\n    else:\\n        num.append(s)\\n        \\n\\n\\n\", \"s = int(input())\\nTMP = [s]\\n\\nif s==1 or s==2:\\n    print(4)\\nelse:\\n    while TMP[-1]!=1:\\n        if TMP[-1] % 2 == 0:\\n            TMP.append(TMP[-1]//2)\\n        elif TMP[-1] % 2 != 0:\\n            TMP.append(3 * TMP[-1] + 1)\\n    print(len(TMP)+1)\", \"s = int(input())\\nl = []\\ndef myfunc(x):\\n  if x%2 == 0:\\n    x = x//2\\n  else:\\n    x = 3*x + 1\\n  return x\\nfor i in range(10**6):\\n  l.append(s)\\n  s = myfunc(s)\\n  if s in l:\\n    print(i+2)\\n    break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    # \\u524d\\u56de\\u306e\\u5024\\u306b\\u3088\\u3063\\u3066\\u8a08\\u7b97\\u3092\\u5909\\u3048\\u308b\\u3002\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    # \\u6570\\u5217\\u306b\\u540c\\u3058\\u5024\\u304c\\u542b\\u307e\\u308c\\u3066\\u3044\\u308b\\u304b\\u3069\\u3046\\u304b\\uff1f\\n    if n in a:\\n\\t  \\t# \\u914d\\u5217\\u304c0\\u304b\\u3089\\u59cb\\u307e\\u308b\\u305f\\u3081\\u3001\\u30ab\\u30a6\\u30f3\\u30c8\\u30a2\\u30c3\\u30d7\\u3002\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s=int(input())\\ncol=[]\\na=s\\ncount=1\\nwhile True:\\n  col.append(a) \\n  if a%2==0:\\n    a=a/2\\n  else:\\n    a=a*3+1\\n  if a in col:\\n    print(count+1)\\n    break\\n  count+=1\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = []\\nans.append(s)\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"def main():\\n    def f(n):\\n        return 3 * n + 1 if n % 2 else n // 2\\n    s = int(input())\\n    a = [s]\\n    for i in range(1, 11**6):\\n        x = f(a[i-1])\\n        if x in a:\\n            return len(a) + 1; return\\n        a.append(x)\\n\\n\\nprint(main())\", \"s=int(input())\\na=[]\\nans=1\\nwhile True:\\n  a.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  ans+=1\\n  if s in a:\\n    print(ans)\\n    break\", \"s = int(input())\\nli = []\\nli.append(s)\\n\\nfor i in range(1,1000000000):\\n    if li[i-1] % 2 == 0:\\n        li.append(li[i-1]//2)\\n    else:\\n        li.append(li[i-1]*3+1)\\n\\n    for j in range(len(li)-1):\\n        if li[j] ==li[i]:\\n            print((i+1))\\n            return\\n\", \"s = int(input())\\na = [s]\\nb = 1\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = 3 * s + 1\\n    if s in a:\\n        print(len(a) + 1)\\n        return\\n    a.append(s)\", \"s = int(input())\\nL = []\\nfor c in range(2 , 10 ** 6 + 1):\\n  L.append(s)\\n  if s % 2 == 0:\\n    s = s // 2\\n  elif s % 2 == 1:\\n    s = s * 3 + 1\\n  if s in L:\\n    break\\nprint(c)\", \"s = int(input())\\n\\nif s == 1 or s == 2:\\n    print(4)\\n    return\\n\\ndef function(n):\\n    if n % 2 == 0:\\n        return int(n/2)\\n    else:\\n        return int(n*3+1)\\ni = 0\\ncount = 0\\na = []\\na.append(s)\\nwhile count < 2:\\n    a.append(function(a[i]))\\n    if a[i] == 4:\\n        count += 1\\n    i += 1\\nprint(i)\", \"n=int(input())\\nl=[n]\\nwhile True:\\n    if n%2==0:\\n        n//=2\\n    else:\\n        n=n*3+1\\n    if n in l:\\n        break\\n    else:\\n        l.append(n)\\nprint((len(l)+1))\\n\", \"s = int(input())\\nlist_a = [None]\\nlist_a.append(s)\\nans = 0\\nfor i in range(1, 10 ** 6 + 1):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] // 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n    if list_a[i] in list_a[:i]:\\n        ans = i\\n        break\\nprint(ans)\", \"s = int(input())\\nS = [str(s)]\\ni = 1\\nwhile True:\\n    if s % 2 == 0:\\n        i += 1\\n        s = s//2\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\n    else:\\n        i += 1\\n        s = int(3 * s + 1)\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\npass\\n\", \"import sys\\nimport copy\\ns = int(input())\\n\\ndef f(n):\\n    if n%2==0:\\n        return int(n/2)\\n    else:\\n        return 3*n+1\\n\\nfor i in range(1000000):\\n    if i == 0:\\n        a=[s]\\n    else:\\n        a.append(f(a[i-1]))\\n    \\n    if a.count(a[i]) == 2:\\n        print((i+1))\\n        return\\n\", \"# import math\\n# import statistics\\na=int(input())\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\n# e1,e2 = map(int,input().split())\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\n\\nda=True\\nap=[a]\\ncount=1\\nwhile da:\\n    if a%2==0:\\n        a=a//2\\n        ap.append(a)\\n    elif a%2==1:\\n        a=3*a+1\\n        ap.append(a)\\n    count+=1\\n    if len(set(ap))<len(ap):\\n        print(count)\\n        da=False\\n\", \"a = int(input())\\n \\ndic = {}\\ndic[a] = 1\\n\\ni = 1\\nwhile True:\\n  i += 1\\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n    \\n  if a in dic: break\\n  dic[a] = 1\\n  \\nprint(i)\", \"s = int(input())\\n\\nif s < 3:\\n  print(4)\\n  return\\n\\ncnt = 1\\nval = s\\nwhile True:\\n  if cnt > 1 and val == 1:\\n    break\\n  \\n  if val % 2 == 0:\\n    val = val//2\\n  else:\\n    val = val*3+1\\n    \\n  cnt += 1\\n             \\nprint(cnt+1)\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = [s]\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"n = int(input())\\na = [n]\\nindex = 0\\n\\nfor i in range(1, 1000000):\\n    if a[i - 1] % 2 == 0:\\n        m = a[i - 1] / 2\\n    else:\\n        m = 3 * a[i - 1] + 1\\n    if m in a:\\n        index = i + 1\\n        break\\n    a.append(m)\\nprint(index)\", \"s = int(input())\\n\\nmax_ = 1000000\\nchk = [0]*max_\\na = s\\ni = 1\\nwhile i <= max_:\\n    if chk[a] == 0:\\n        chk[a] += 1\\n    else:\\n        print(i)\\n        return\\n    if a%2 == 0:\\n        a = int(a/2)\\n    else:\\n        a = 3*a + 1\\n    i += 1\\n\", \"s = int(input())\\n\\nA = [s]\\nidx = 1\\nwhile True:\\n    n = A[idx-1]\\n    if n % 2:\\n        f = 3*n + 1\\n    else:\\n        f = n / 2\\n    idx += 1\\n    A.append(f)\\n    if len(A) != len(set(A)):\\n        break\\nprint(idx)\", \"s = int(input())\\n\\ncount = 1\\nn = s\\ncheck = 0\\nlist = [s]\\n\\n\\nfor i in range(30000):\\n        if n % 2 == 0:\\n            n = n / 2\\n            list.append(n)\\n        else:\\n            n = n*3 + 1\\n            list.append(n)\\n        \\n        count = count + 1\\n        list.sort()\\n        for j in range(len(list) - 1):\\n            if list[j] ==list[j+1]:\\n                check = 1\\n                break\\n            \\n        if check == 1:\\n            break\\n        \\n\\n\\nprint(count)\\n\\n\", \"S = int(input())\\ns, c = S, 1\\nresult = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    elif s % 2 == 1:\\n        s = s * 3 + 1\\n\\n    result.append(s)\\n    c += 1\\n    if len(set(result)) < len(result):\\n        break\\n\\nprint(c)\", \"#-*-coding:utf-8-*-\\nimport sys\\ninput=sys.stdin.readline\\n\\ndef func(n):\\n    ans =0\\n    if n%2==0:\\n        ans=n//2\\n    else:\\n        ans=3*n+1\\n    return ans\\n\\ndef main():\\n    s = int(input())\\n    dp=[s]\\n    counter=0\\n\\n    if s==1 or s==2:\\n        print(4)\\n        return\\n\\n    while counter < 1000001:\\n        n=dp.pop()\\n        tmp = func(n)\\n        dp.append(n)\\n        dp.append(tmp)\\n        counter+=1\\n        if tmp==4:\\n            print(dp.index(tmp)+4)\\n            break\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\nS = int(input())\\n\\na = [S]\\ncnt = 1\\nwhile True:\\n    if S%2 == 0:\\n        S /= 2\\n    else:\\n        S = 3*S + 1\\n    cnt += 1\\n    if S in a:\\n        break\\n    else:\\n        a.append(S)\\n\\nprint(cnt)\", \"s = int(input())\\n\\nnum_lists = [s]\\ncnt = 1\\nwhile True:\\n    if (num_lists[-1])%2 == 0:\\n        tmp = num_lists[-1]/2\\n    else:\\n        tmp =(num_lists[-1]*3)+1\\n    cnt += 1\\n    if tmp in num_lists:\\n        ans = cnt\\n        break\\n    else:\\n        num_lists.append(tmp)\\n\\nprint(ans)\", \"import sys\\ns=int(input())\\n\\ncnt=0\\n\\nif s==1 or s==2:\\n  print('4')\\n  return\\n\\nwhile s!=4:\\n  if s%2!=0:\\n    s=3*s+1\\n    cnt+=1\\n  elif s%2==0:\\n    s=s//2\\n    cnt+=1\\n\\nif s==4:\\n  print(cnt+4)\", \"s=int(input())\\na=[]\\nna=[]\\na.append(s)\\nfor i in range(1,10**6):\\n    if a[i-1]%2==0:\\n        a.append(a[i-1]/2)\\n    else:\\n        a.append(a[i-1]*3+1)\\n    na=set(a)\\n    if len(na)!=i+1:\\n        print(i+1)\\n        return\", \"s = int(input())\\n\\na = []\\na.append(s)\\nfor i in range(1000000):\\n  if a[i]%2 == 0:\\n    a.append(a[i] // 2)\\n  else:\\n    a.append(3*a[i] + 1)\\n  for j in range(i-1):\\n    if a[i+1] == a[j]:\\n      print(len(a))\\n      return\", \"s = int(input())\\ndef p(n):\\n    if n%2 ==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\nl = [s]\\ncnt = 1\\nwhile True:\\n    cnt +=1\\n    s = p(s)\\n    if s in l:\\n        print(cnt)\\n        return\\n    else:\\n        l.append(s)\", \"s = int (input ())\\nl = []\\na = 0\\nl.append (s)\\nfor i in range (1000000):\\n  a += 1\\n  if s%2 == 0:\\n    s = round(s/2)\\n  else:\\n    s = s*3+1\\n  if l.count (s) != 0:\\n    print (a+1)\\n    break\\n  else:\\n    l.append (s)\", \"s = int(input())\\n\\n\\nclass Solution:\\n    def __init__(self,s):\\n        self.s = s\\n    \\n    def function_a(self):\\n        if self.s % 2 == 0:\\n            return self.s / 2\\n        else:\\n            return 3 * self.s + 1\\n    \\n    def answer(self):\\n        list_a = [self.s]\\n        self.s = self.function_a()\\n        ans = 2\\n        while self.s not in list_a:\\n            list_a.append(self.s)\\n            self.s = self.function_a()\\n            ans += 1\\n        print(ans)\\n\\n\\nconditon = Solution(s)\\nconditon.answer()\", \"S = int(input())\\nl = []\\n\\nwhile S not in l:\\n    l.append(S)\\n    if S%2 == 0:\\n        S //=2\\n    else:\\n        S = 3*S + 1\\nprint((len(l)+1))\\n\", \"s = int(input())\\nS = {s}\\ni = 1\\nwhile True:\\n  i += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    break\\n  S.add(s)\\nprint(i)\", \"s = int(input())\\n\\nbox = set()\\nbox.add(s)\\n\\nfor i in range(2, 1000000):\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = s * 3 + 1\\n  if s in box:\\n    print(i)\\n    return\\n  else:\\n    box.add(s)\\n\", \"s = int(input())\\n\\ndef collatz(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\ncoll = s\\ni = 1\\nwhile 1:\\n    if coll == 1 or coll == 2 or coll == 4:\\n        print(i  + 3)\\n        break\\n    coll = collatz(coll)\\n    i += 1\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n  \\nprint(i)\", \"S=int(input())\\n\\na=[S]\\ntemp=S\\n\\ni=0\\n\\nwhile i<200:\\n\\ti+=1\\n\\tif temp%2==0:\\n\\t\\ta.append(temp//2)\\n\\telse:\\n\\t\\ta.append(temp*3+1)\\n\\ttemp=a[-1]\\n\\nfor n in range(200):\\n\\tfor m in range(n+1,200):\\n\\t\\tif a[n]==a[m]:\\n\\t\\t\\tprint(m+1)\\n\\t\\t\\treturn\", \"s=int(input())\\n\\na_list=[s]\\n\\n\\na=s\\nwhile True:\\n    \\n    if a%2==0:\\n        a=a//2\\n    else:\\n        a=3*a+1\\n    \\n    if a in a_list:\\n        break\\n    else:\\n        a_list.append(a)\\n\\nans=len(a_list)+1\\n\\nprint(ans)\", \"s = int(input())\\na = [s]\\n\\ndef func(n):\\n  if n % 2 == 0:\\n    a.append(n//2)\\n  elif n % 2 == 1:\\n    a.append(3*n + 1)\\n  \\ni = 1\\nwhile True:\\n  func(a[-1])\\n  i += 1\\n  if a.count(a[-1]) == 2:\\n    break\\n  else:\\n    pass\\n\\n\\nprint(i)\", \"def f(n):\\n    if n % 2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\n\\ns = int(input())\\ncnt = 0\\na = [s]\\nwhile True:\\n\\n    temp = f(a[cnt])\\n\\n    if temp in a:\\n        print((len(a)+1))\\n        return\\n    a.append(temp)\\n    cnt += 1\\n\", \"s = int(input())\\n\\ndef f(x):\\n    if x%2 == 0:\\n        return int(x/2)\\n    else:\\n        return 3*x + 1\\ni = 1\\nm_max = 1000000\\nb_s = s\\nb = set([s])\\nwhile i <= m_max:\\n    i += 1\\n    a = f(b_s)\\n    if a in b:\\n        break\\n    b.add(a)\\n    b_s = a\\nprint(i)\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"s = int(input())\\na = [s]\\nans = 0\\nfor i in range(1000000):\\n    if a[i] % 2 == 0:\\n        if a[i]/2 in a:\\n            ans = i + 2\\n            break\\n        a.append(a[i]/2)\\n    else:\\n        if 3*a[i] + 1 in a:\\n            ans = i + 2\\n            break\\n        a.append(3*a[i] + 1)\\nprint(ans)\", \"n = int(input())\\nc = 1\\nx = []\\nx.append(n)\\nwhile True:\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\\n    c+=1\\n    if n in x:\\n        break\\n    x.append(n)\\nprint(c)\", \"import sys\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    S = int(input())\\n\\n    x = set()\\n    x.add(S)\\n\\n    i = 1\\n    prev = S\\n    while True:\\n        i += 1\\n        if prev % 2 == 0:\\n            prev = prev // 2\\n        else:\\n            prev = prev * 3 + 1\\n\\n        if prev in x:\\n            print(i)\\n            return\\n\\n        x.add(prev)\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"s = int(input())\\narr = []\\nans = 0\\ndef calc(n, cnt):\\n    arr.append(n)\\n\\n    if cnt >= 1000000:\\n        return n\\n\\n    if n % 2 == 0:\\n        n = int(n / 2)\\n    else:\\n        n = int(3 * n + 1)\\n\\n    if n in arr:\\n        return cnt\\n\\n    cnt += 1\\n    calc(n, cnt)\\ncalc(s, 0)\\nprint((len(arr) + 1))\\n\", \"def func(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x + 1\\nA = [True for i in range(1000001)]\\nN = int(input())\\ncount = 1\\nwhile A[N]:\\n  A[N] = False\\n  N = func(N)\\n  count += 1\\nprint(count)\", \"a = [int(input())]\\n\\ni = 0\\nwhile True:\\n    if a[i]%2 == 0:\\n        a.append(int(a[i]/2))\\n    else:\\n        a.append(int((3*a[i])+1))\\n    if a.count(a[i]) == 2:\\n        break\\n    i += 1\\n\\nprint(i+1)\", \"s = int(input())\\nlist_a = [s]\\n\\nif s % 2 == 0:\\n    s = s / 2\\nelse:\\n    s = 3 * s + 1\\n    \\ncurrent = 2\\nwhile s not in list_a:\\n    list_a.append(s)\\n    if s % 2 == 0:\\n        s = s / 2\\n    else:\\n        s = 3 * s + 1\\n    current += 1\\n\\nprint(current)\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"s=int(input())\\n\\nans=1\\ns_st=set()\\nwhile s not in s_st:\\n  s_st.add(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=3*s+1\\n  ans+=1\\n\\nprint(ans)\", \"import sys\\ns = int(input())\\nf = [0 for _ in range(1000005)]\\nf[s] = 1\\nn = s\\nfor i in range(1000005):\\n  if(n%2==0):\\n    n = int(n/2)\\n  else:\\n    n = int(3*n + 1)\\n  if(f[n] == 1):\\n    print(i+2)\\n    return\\n  else:\\n    f[n] = 1\", \"s = int(input())\\n\\nsec = [s]\\ncount = 1\\nwhile(s):\\n  if sec[-1]%2 == 0:\\n    sec.append(sec[-1]/2)\\n  else:\\n    sec.append(3*sec[-1]+1)\\n  count+=1\\n    \\n  if sec[-1] in sec[:-1]:\\n    print(count)\\n    break\", \"s = int(input())\\nline = [0 for i in range(1000001)]\\nans = 1\\nline[s] += 1\\nwhile True:\\n  ans += 1\\n  if s % 2 == 0:\\n    s = int(s/2)\\n  else:\\n    s = 3*s + 1\\n  line[s] += 1\\n  if line[s] > 1:\\n    break\\nprint(ans)\", \"a = int(input())\\nl = [a]\\nfor i in range(1000000):\\n  if a % 2 == 0:\\n    a = a//2\\n  else:\\n    a = a*3 + 1\\n  if l.count(a)==2:\\n    print((1+max([i for i, x in enumerate(l) if x == a])))\\n    break\\n  else:\\n    l.append(a)\\n\", \"s = int(input())\\na = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = s * 3 + 1\\n    a.append(s)\\n    if a.count(s) == 2:\\n        print(len(a))\\n        break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    if n in a:\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s = int(input())\\na = [s]\\ni = 1\\nwhile True:\\n  if s % 2 == 0:\\n    s = s // 2\\n  else:\\n    s = 3 * s + 1\\n  if s in a:\\n    print(len(a) + 1)\\n    break\\n  a.append(s)\", \"s=int(input())\\ncnt = 1\\nS = [s]\\nwhile(1):\\n  cnt += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    print(cnt)\\n    break\\n  S.append(s)\\n\", \"def readinput():\\n    s=int(input())\\n    return s\\n\\ndef main(s):\\n    hist=[0]*1000001\\n    i=1\\n    n=s\\n    hist[n]+=1\\n    while hist[n]<=1:\\n        if n%2==0:\\n            n=n//2\\n        else:\\n            n=3*n+1\\n        i+=1\\n        hist[n]+=1\\n    return i\\n\\ndef __starting_point():\\n    s=readinput()\\n    ans=main(s)\\n    print(ans)\\n\\n__starting_point()\", \"s = int(input())\\n\\nmp = [False]*(10**6+1)\\ndef even_f(n):\\n    return n//2\\n\\ndef odd_f(n):\\n    return 3*n+1\\n\\nmp[s]=True\\nnow = s\\nfor i in range(1,10**6+1):\\n    if(now%2==0):\\n        now = even_f(now)\\n    else:\\n        now = odd_f(now)\\n\\n    if(mp[now]):\\n        savei=i\\n        break\\n    mp[now]=True\\n\\nprint((savei+1))\\n        \\n\", \"s = int(input())\\nans = [s]\\ni = 1\\nif s == 1 or s == 2:\\n    ans = 4\\nelse:\\n    while ans[i-1] != 4:\\n        if ans[i-1] % 2 ==0:\\n            ans.append(ans[i-1]//2)\\n        else:\\n            ans.append(ans[i-1]*3 + 1 )\\n        i += 1\\n    ans = i + 3\\nprint(ans)\", \"import sys\\n\\n\\ndef input(): return sys.stdin.readline().strip()\\ndef I(): return int(input())\\ndef LI(): return list(map(int, input().split()))\\ndef IR(n): return [I() for i in range(n)]\\ndef LIR(n): return [LI() for i in range(n)]\\ndef SR(n): return [S() for i in range(n)]\\ndef S(): return input()\\ndef LS(): return input().split()\\n\\n\\nINF = float('inf')\\n\\ns = I()\\nvs = set()\\nvs.add(s)\\nnow = 0 + s\\ni = 1\\nwhile True:\\n    i += 1\\n    now = now / 2 if now % 2 == 0 else 3*now + 1\\n    if now in vs:\\n        break\\n    else:\\n        vs.add(now)\\n\\nprint(i)\\n\", \"s = int(input())\\nlist_a = [s]\\n\\nfor i in range(1000000):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] / 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n        \\nfor index, ai in enumerate(list_a, 1):\\n    if ai in list_a[:index - 1]:\\n        print(index)\\n        break\\n\", \"\\nurl = \\\"https://atcoder.jp//contests/abc116/tasks/abc116_b\\\"\\n\\ndef calc(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\n\\ndef main():\\n    s = int(input())\\n    ans = [s]\\n    while True:\\n        tmp = calc(ans[-1])\\n        ans.append(tmp)\\n        if ans.index(tmp) != len(ans)-1:\\n            print((len(ans)))\\n            break\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"s=int(input())\\nL=[]\\nn=1\\nwhile not s in L:\\n  L.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  n+=1\\nprint(n)\", \"n = int(input())\\ndata =[0]* 1000000\\ndata[0] = n\\ni = 2\\nif n % 2 == 0:\\n    data[1] = n //2\\nelse:\\n    data[1] = 3 * n + 1\\nwhile data[i - 1] not in data[0: i -2]:\\n    if data[i-1] % 2 == 0:\\n            data[i] = data[i - 1]//2\\n    else:\\n            data[i] = 3 * data[i - 1] + 1\\n    i += 1\\nprint(i)\", \"s=int(input())\\nG =[]\\nwhile (s not in G):\\n  G.append(s)\\n  if s % 2==0:\\n    s = int(s//2)\\n  else:\\n    s = int(3*s+1)\\nprint(len(G)+1)\", \"s = int(input())\\nl = [s]\\na = set(l)\\nfor i in range(10**6):\\n  if l[-1] % 2 == 0:\\n    n = l[-1] // 2\\n  else:\\n    n = 3*l[-1] + 1\\n  if n not in a:\\n    a.add(n)\\n    l.append(n)\\n  else:\\n    print(len(l)+1)\\n    break\", \"a=int(input())\\ns=set()\\ni=1\\nwhile True:\\n    if a in s:\\n        print(i)\\n        break\\n    s|={a}\\n    if a%2==0:\\n        a>>=1\\n    else:\\n        a=3*a+1\\n    i+=1\\n\", \"s = int(input())\\n\\ndef f(n):\\n    if n%2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\nx = set()\\nans = 0\\nwhile True:\\n    ans += 1\\n    if s in x:\\n        print(ans)\\n        break\\n    x.add(s)\\n    s = f(s)\", \"a=int(input())\\ni=1\\nli=[a]\\nimport copy\\nwhile True:\\n    if li[i-1]%2==0:\\n        b=li[i-1]//2\\n    else:\\n        b=3*li[i-1]+1\\n    if b in li:\\n        print((i+1))\\n        return\\n    li.append(b)\\n    i+=1\\n        \\n\", \"s=int(input())\\ndef f(n):\\n    if n%2==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\na=[0]*(10**8)\\na[s]=1\\ncnt=1\\nfor _ in range(10**7):\\n    s=f(s)\\n    cnt+=1\\n    if a[s]:\\n        print(cnt)\\n        break\\n    a[s]=1\\n\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"n = int(input())\\n\\ndp = [True]*(n*1000000)\\ndp[n] = False\\nres =1\\nwhile n <1000001:\\n    res +=1\\n    if n % 2 ==1:\\n        n = n*3+1\\n    else:\\n        n = n//2\\n    \\n    if dp[n]:\\n        dp[n] = False\\n    else:\\n        print(res)\\n        return\", \"s = int(input())\\n\\na = [0]*(10**6+1)\\nc = [0]*(10**6+1)\\na[1] = s\\nc[s] = 1\\nfor i in range(2, 10**6+1):\\n    v = a[i-1]//2 if a[i-1] % 2 == 0 else 3*a[i-1]+1\\n    a[i] = v\\n    if c[v] == 1:\\n        print(i)\\n        return\\n    c[v] = 1\", \"S = int(input())\\narray = []\\narray.append(S)\\n\\nwhile True:\\n  count = 0\\n  if S % 2 == 0:\\n    S = S / 2\\n    array.append(S)\\n  else:\\n    S = 3 * S + 1\\n    array.append(S)\\n  for i in range(len(array)):\\n    if S == array[i]:\\n      count += 1\\n      if count == 2:\\n        print((i + 1))\\n        return\\n\", \"a=int(input())\\nb=0\\nif a==2:\\n  print(4)\\nelif a==1:\\n  print(4)\\nelse:\\n  while a!=4:\\n    if a%2==0:\\n      a=a//2\\n      b=b+1\\n    else:\\n      a=3*a+1\\n      b=b+1\\n  print(b+4)\", \"s = int(input())\\n\\nans_list = [s]\\ncurr_value = s\\nindex = 1\\nwhile(True):\\n    if curr_value%2==0:\\n        curr_value = int(curr_value/2)\\n    else:\\n        curr_value = 3*curr_value + 1\\n    index += 1\\n    if curr_value in ans_list:\\n        break\\n    else:\\n        ans_list.append(curr_value)\\nprint(index)\", \"a = int(input())\\ns = set([a])\\n\\nfor i in range(10**6):\\n\\tif a % 2 == 0:\\n\\t\\t# print(\\\"Process for even.\\\")\\n\\t\\ta = a//2\\n\\telse:\\n\\t\\t# print(\\\"Process for odd.\\\")\\n\\t\\ta = 3*a + 1\\n\\tif a not in s:\\n\\t\\ts.add(a)\\n\\telse:\\n\\t\\tprint((i+2))\\n\\t\\tbreak\\n\", \"def f(n):\\n\\tif n % 2 == 0:\\n\\t\\treturn n / 2\\n\\telse:\\n\\t\\treturn 3 * n + 1\\n\\t\\t\\ns = int(input())\\n\\na = []\\nfor i in range(1000000):\\n\\tif i == 0:\\n\\t\\ta.append(s)\\n\\telse:\\n\\t\\tif f(a[-1]) in a:\\n\\t\\t\\tprint(i+1)\\n\\t\\t\\tbreak\\n\\t\\telse:\\n\\t\\t\\ta.append(f(a[-1]))\", \"s = int(input())\\nvisited = [False]*(10**6+1)\\n\\nvisited[s] = True\\ncnt = 1\\n\\nwhile True:\\n    if s & 1:\\n        s = s * 3 + 1\\n    else:\\n        s //= 2\\n    \\n    cnt += 1\\n\\n    if visited[s]:\\n        print(cnt)\\n        break\\n\\n    visited[s] = True\", \"s = int(input())\\na = [s]\\nfor i in range(1, 1000001):\\n    if a[i-1]%2 == 0:\\n        x = a[i-1]//2\\n        if x in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(x)\\n    else:\\n        y = a[i-1]*3 + 1\\n        if y in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(y)\", \"from sys import stdin\\n\\ns = int(stdin.readline().strip())\\nmem = []\\na = s\\n\\nfor i in range(1000000):\\n  if a in mem:\\n    print(i+1)\\n    return\\n  mem.append(a)\\n  if a % 2 == 0: a = a // 2\\n  else: a = 3 * a + 1\"]",
        "difficulty": "introductory",
        "input": "99\n",
        "output": "27\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc116/tasks/abc116_b"
    },
    {
        "id": 486,
        "task_id": 4311,
        "test_case_id": 10,
        "question": "A sequence a=\\{a_1,a_2,a_3,......\\} is determined as follows:\n - The first term s is given as input.\n - Let f(n) be the following function: f(n) = n/2 if n is even, and f(n) = 3n+1 if n is odd.\n - a_i = s when i = 1, and a_i = f(a_{i-1}) when i > 1.\nFind the minimum integer m that satisfies the following condition:\n - There exists an integer n such that a_m = a_n (m > n).\n\n-----Constraints-----\n - 1 \\leq s \\leq 100\n - All values in input are integers.\n - It is guaranteed that all elements in a and the minimum m that satisfies the condition are at most 1000000.\n\n-----Input-----\nInput is given from Standard Input in the following format:\ns\n\n-----Output-----\nPrint the minimum integer m that satisfies the condition.\n\n-----Sample Input-----\n8\n\n-----Sample Output-----\n5\n\na=\\{8,4,2,1,4,2,1,4,2,1,......\\}. As a_5=a_2, the answer is 5.",
        "solutions": "[\"from collections import defaultdict\\n\\nd = defaultdict(bool)\\n\\nn = int(input())\\nfor i in range(1000000):\\n\\n    if d[n]:\\n        print((i + 1))\\n        return\\n    d[n] = True\\n    if n & 1:\\n        n = n * 3 + 1\\n    else:\\n        n >>= 1\\n\", \"a=int(input())\\nb=[]\\nb.append(a)\\nwhile True:\\n    if a%2==0:\\n        a=a/2\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\\n    elif a%2!=0:\\n        a=3*a+1\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\", \"s = int(input())\\na = s\\nc = 0\\nif a == 1 or a == 2:\\n  ans = 4\\nelse:\\n  while a != 1:\\n    if a%2 == 0:\\n      a = int(a/2)\\n      c += 1\\n    else:\\n      a = int(3*a+1)\\n      c += 1\\n  ans = c+2\\nprint(ans)\", \"s = int(input())\\nans = [0]*1000001\\ncnt = 1\\n\\nwhile True:\\n    if ans[s] == 0:\\n        ans[s] += 1\\n\\n        if s%2 == 0:\\n            s = s//2\\n        else:\\n            s = 3*s+1\\n        cnt += 1\\n\\n    if ans[s] != 0:\\n        print(cnt)\\n        return\\n\\n\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n\\nprint(i)\", \"n=int(input())\\nli = []\\nwhile not n in li:\\n  li.append(n)\\n  if n % 2 == 0:\\n    n //= 2\\n  else:\\n    n = n * 3 + 1\\n  \\nprint(len(li)+1)\", \"s = int(input())\\n\\nlst = [s]\\nprev = s\\nfor m in range(2, 1000001):\\n    if prev % 2 == 0:\\n        i = int(prev / 2)\\n    else:\\n        i = 3 * prev + 1\\n    if i in lst:\\n        print(m)\\n        break\\n    lst.append(i)\\n    prev = i\", \"s = int(input())\\na = [s]\\nwhile True:\\n  if a.count(a[-1]) == 2:\\n    print(len(a))\\n    return\\n  if a[-1]%2 == 0:\\n    a.append(a[-1]/2)\\n  else:\\n    a.append(3*a[-1]+1)\", \"n = int(input())\\nc = 0\\nx = []\\nwhile True:\\n    c+=1\\n    if n in x:\\n        print(c)\\n        break\\n    x.append(n)\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\", \"n=int(input())\\na=[n]\\ncnt=1\\nwhile len(set(a))==len(a):\\n    if n%2==0: \\n        n//=2\\n    else:\\n        n=3*n+1\\n    a.append(n)\\n    cnt+=1\\nprint(cnt)\\n\", \"s=int(input())\\na=[0]*10**6\\na[0]=s\\n\\ndef f(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x+1\\nt=0 \\nwhile f(a[t])>0:\\n  p=f(a[t])\\n  if p in a:\\n    print((t+2))\\n    return\\n  a[t+1]=p\\n  t+=1\\n\", \"def func(n: int) -> int:\\n    return n // 2 if n % 2 == 0 else n * 3 + 1\\n\\n\\ndef answer(s: int) -> int:\\n    sequence_a = [s]\\n    while True:\\n        num = func(sequence_a[-1])\\n        if num in sequence_a:\\n            return len(sequence_a) + 1\\n        sequence_a.append(num)\\n\\n\\ndef main():\\n    s = int(input())\\n    print((answer(s)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\ndef f(n):\\n    if n % 2 == 0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\ns = k()\\nnum.append(s)\\nwhile True:\\n    cnt += 1\\n    s = f(s)\\n    if s in num:\\n        print((cnt+1))\\n        return\\n    else:\\n        num.append(s)\\n        \\n\\n\\n\", \"s = int(input())\\nTMP = [s]\\n\\nif s==1 or s==2:\\n    print(4)\\nelse:\\n    while TMP[-1]!=1:\\n        if TMP[-1] % 2 == 0:\\n            TMP.append(TMP[-1]//2)\\n        elif TMP[-1] % 2 != 0:\\n            TMP.append(3 * TMP[-1] + 1)\\n    print(len(TMP)+1)\", \"s = int(input())\\nl = []\\ndef myfunc(x):\\n  if x%2 == 0:\\n    x = x//2\\n  else:\\n    x = 3*x + 1\\n  return x\\nfor i in range(10**6):\\n  l.append(s)\\n  s = myfunc(s)\\n  if s in l:\\n    print(i+2)\\n    break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    # \\u524d\\u56de\\u306e\\u5024\\u306b\\u3088\\u3063\\u3066\\u8a08\\u7b97\\u3092\\u5909\\u3048\\u308b\\u3002\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    # \\u6570\\u5217\\u306b\\u540c\\u3058\\u5024\\u304c\\u542b\\u307e\\u308c\\u3066\\u3044\\u308b\\u304b\\u3069\\u3046\\u304b\\uff1f\\n    if n in a:\\n\\t  \\t# \\u914d\\u5217\\u304c0\\u304b\\u3089\\u59cb\\u307e\\u308b\\u305f\\u3081\\u3001\\u30ab\\u30a6\\u30f3\\u30c8\\u30a2\\u30c3\\u30d7\\u3002\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s=int(input())\\ncol=[]\\na=s\\ncount=1\\nwhile True:\\n  col.append(a) \\n  if a%2==0:\\n    a=a/2\\n  else:\\n    a=a*3+1\\n  if a in col:\\n    print(count+1)\\n    break\\n  count+=1\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = []\\nans.append(s)\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"def main():\\n    def f(n):\\n        return 3 * n + 1 if n % 2 else n // 2\\n    s = int(input())\\n    a = [s]\\n    for i in range(1, 11**6):\\n        x = f(a[i-1])\\n        if x in a:\\n            return len(a) + 1; return\\n        a.append(x)\\n\\n\\nprint(main())\", \"s=int(input())\\na=[]\\nans=1\\nwhile True:\\n  a.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  ans+=1\\n  if s in a:\\n    print(ans)\\n    break\", \"s = int(input())\\nli = []\\nli.append(s)\\n\\nfor i in range(1,1000000000):\\n    if li[i-1] % 2 == 0:\\n        li.append(li[i-1]//2)\\n    else:\\n        li.append(li[i-1]*3+1)\\n\\n    for j in range(len(li)-1):\\n        if li[j] ==li[i]:\\n            print((i+1))\\n            return\\n\", \"s = int(input())\\na = [s]\\nb = 1\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = 3 * s + 1\\n    if s in a:\\n        print(len(a) + 1)\\n        return\\n    a.append(s)\", \"s = int(input())\\nL = []\\nfor c in range(2 , 10 ** 6 + 1):\\n  L.append(s)\\n  if s % 2 == 0:\\n    s = s // 2\\n  elif s % 2 == 1:\\n    s = s * 3 + 1\\n  if s in L:\\n    break\\nprint(c)\", \"s = int(input())\\n\\nif s == 1 or s == 2:\\n    print(4)\\n    return\\n\\ndef function(n):\\n    if n % 2 == 0:\\n        return int(n/2)\\n    else:\\n        return int(n*3+1)\\ni = 0\\ncount = 0\\na = []\\na.append(s)\\nwhile count < 2:\\n    a.append(function(a[i]))\\n    if a[i] == 4:\\n        count += 1\\n    i += 1\\nprint(i)\", \"n=int(input())\\nl=[n]\\nwhile True:\\n    if n%2==0:\\n        n//=2\\n    else:\\n        n=n*3+1\\n    if n in l:\\n        break\\n    else:\\n        l.append(n)\\nprint((len(l)+1))\\n\", \"s = int(input())\\nlist_a = [None]\\nlist_a.append(s)\\nans = 0\\nfor i in range(1, 10 ** 6 + 1):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] // 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n    if list_a[i] in list_a[:i]:\\n        ans = i\\n        break\\nprint(ans)\", \"s = int(input())\\nS = [str(s)]\\ni = 1\\nwhile True:\\n    if s % 2 == 0:\\n        i += 1\\n        s = s//2\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\n    else:\\n        i += 1\\n        s = int(3 * s + 1)\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\npass\\n\", \"import sys\\nimport copy\\ns = int(input())\\n\\ndef f(n):\\n    if n%2==0:\\n        return int(n/2)\\n    else:\\n        return 3*n+1\\n\\nfor i in range(1000000):\\n    if i == 0:\\n        a=[s]\\n    else:\\n        a.append(f(a[i-1]))\\n    \\n    if a.count(a[i]) == 2:\\n        print((i+1))\\n        return\\n\", \"# import math\\n# import statistics\\na=int(input())\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\n# e1,e2 = map(int,input().split())\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\n\\nda=True\\nap=[a]\\ncount=1\\nwhile da:\\n    if a%2==0:\\n        a=a//2\\n        ap.append(a)\\n    elif a%2==1:\\n        a=3*a+1\\n        ap.append(a)\\n    count+=1\\n    if len(set(ap))<len(ap):\\n        print(count)\\n        da=False\\n\", \"a = int(input())\\n \\ndic = {}\\ndic[a] = 1\\n\\ni = 1\\nwhile True:\\n  i += 1\\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n    \\n  if a in dic: break\\n  dic[a] = 1\\n  \\nprint(i)\", \"s = int(input())\\n\\nif s < 3:\\n  print(4)\\n  return\\n\\ncnt = 1\\nval = s\\nwhile True:\\n  if cnt > 1 and val == 1:\\n    break\\n  \\n  if val % 2 == 0:\\n    val = val//2\\n  else:\\n    val = val*3+1\\n    \\n  cnt += 1\\n             \\nprint(cnt+1)\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = [s]\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"n = int(input())\\na = [n]\\nindex = 0\\n\\nfor i in range(1, 1000000):\\n    if a[i - 1] % 2 == 0:\\n        m = a[i - 1] / 2\\n    else:\\n        m = 3 * a[i - 1] + 1\\n    if m in a:\\n        index = i + 1\\n        break\\n    a.append(m)\\nprint(index)\", \"s = int(input())\\n\\nmax_ = 1000000\\nchk = [0]*max_\\na = s\\ni = 1\\nwhile i <= max_:\\n    if chk[a] == 0:\\n        chk[a] += 1\\n    else:\\n        print(i)\\n        return\\n    if a%2 == 0:\\n        a = int(a/2)\\n    else:\\n        a = 3*a + 1\\n    i += 1\\n\", \"s = int(input())\\n\\nA = [s]\\nidx = 1\\nwhile True:\\n    n = A[idx-1]\\n    if n % 2:\\n        f = 3*n + 1\\n    else:\\n        f = n / 2\\n    idx += 1\\n    A.append(f)\\n    if len(A) != len(set(A)):\\n        break\\nprint(idx)\", \"s = int(input())\\n\\ncount = 1\\nn = s\\ncheck = 0\\nlist = [s]\\n\\n\\nfor i in range(30000):\\n        if n % 2 == 0:\\n            n = n / 2\\n            list.append(n)\\n        else:\\n            n = n*3 + 1\\n            list.append(n)\\n        \\n        count = count + 1\\n        list.sort()\\n        for j in range(len(list) - 1):\\n            if list[j] ==list[j+1]:\\n                check = 1\\n                break\\n            \\n        if check == 1:\\n            break\\n        \\n\\n\\nprint(count)\\n\\n\", \"S = int(input())\\ns, c = S, 1\\nresult = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    elif s % 2 == 1:\\n        s = s * 3 + 1\\n\\n    result.append(s)\\n    c += 1\\n    if len(set(result)) < len(result):\\n        break\\n\\nprint(c)\", \"#-*-coding:utf-8-*-\\nimport sys\\ninput=sys.stdin.readline\\n\\ndef func(n):\\n    ans =0\\n    if n%2==0:\\n        ans=n//2\\n    else:\\n        ans=3*n+1\\n    return ans\\n\\ndef main():\\n    s = int(input())\\n    dp=[s]\\n    counter=0\\n\\n    if s==1 or s==2:\\n        print(4)\\n        return\\n\\n    while counter < 1000001:\\n        n=dp.pop()\\n        tmp = func(n)\\n        dp.append(n)\\n        dp.append(tmp)\\n        counter+=1\\n        if tmp==4:\\n            print(dp.index(tmp)+4)\\n            break\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\nS = int(input())\\n\\na = [S]\\ncnt = 1\\nwhile True:\\n    if S%2 == 0:\\n        S /= 2\\n    else:\\n        S = 3*S + 1\\n    cnt += 1\\n    if S in a:\\n        break\\n    else:\\n        a.append(S)\\n\\nprint(cnt)\", \"s = int(input())\\n\\nnum_lists = [s]\\ncnt = 1\\nwhile True:\\n    if (num_lists[-1])%2 == 0:\\n        tmp = num_lists[-1]/2\\n    else:\\n        tmp =(num_lists[-1]*3)+1\\n    cnt += 1\\n    if tmp in num_lists:\\n        ans = cnt\\n        break\\n    else:\\n        num_lists.append(tmp)\\n\\nprint(ans)\", \"import sys\\ns=int(input())\\n\\ncnt=0\\n\\nif s==1 or s==2:\\n  print('4')\\n  return\\n\\nwhile s!=4:\\n  if s%2!=0:\\n    s=3*s+1\\n    cnt+=1\\n  elif s%2==0:\\n    s=s//2\\n    cnt+=1\\n\\nif s==4:\\n  print(cnt+4)\", \"s=int(input())\\na=[]\\nna=[]\\na.append(s)\\nfor i in range(1,10**6):\\n    if a[i-1]%2==0:\\n        a.append(a[i-1]/2)\\n    else:\\n        a.append(a[i-1]*3+1)\\n    na=set(a)\\n    if len(na)!=i+1:\\n        print(i+1)\\n        return\", \"s = int(input())\\n\\na = []\\na.append(s)\\nfor i in range(1000000):\\n  if a[i]%2 == 0:\\n    a.append(a[i] // 2)\\n  else:\\n    a.append(3*a[i] + 1)\\n  for j in range(i-1):\\n    if a[i+1] == a[j]:\\n      print(len(a))\\n      return\", \"s = int(input())\\ndef p(n):\\n    if n%2 ==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\nl = [s]\\ncnt = 1\\nwhile True:\\n    cnt +=1\\n    s = p(s)\\n    if s in l:\\n        print(cnt)\\n        return\\n    else:\\n        l.append(s)\", \"s = int (input ())\\nl = []\\na = 0\\nl.append (s)\\nfor i in range (1000000):\\n  a += 1\\n  if s%2 == 0:\\n    s = round(s/2)\\n  else:\\n    s = s*3+1\\n  if l.count (s) != 0:\\n    print (a+1)\\n    break\\n  else:\\n    l.append (s)\", \"s = int(input())\\n\\n\\nclass Solution:\\n    def __init__(self,s):\\n        self.s = s\\n    \\n    def function_a(self):\\n        if self.s % 2 == 0:\\n            return self.s / 2\\n        else:\\n            return 3 * self.s + 1\\n    \\n    def answer(self):\\n        list_a = [self.s]\\n        self.s = self.function_a()\\n        ans = 2\\n        while self.s not in list_a:\\n            list_a.append(self.s)\\n            self.s = self.function_a()\\n            ans += 1\\n        print(ans)\\n\\n\\nconditon = Solution(s)\\nconditon.answer()\", \"S = int(input())\\nl = []\\n\\nwhile S not in l:\\n    l.append(S)\\n    if S%2 == 0:\\n        S //=2\\n    else:\\n        S = 3*S + 1\\nprint((len(l)+1))\\n\", \"s = int(input())\\nS = {s}\\ni = 1\\nwhile True:\\n  i += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    break\\n  S.add(s)\\nprint(i)\", \"s = int(input())\\n\\nbox = set()\\nbox.add(s)\\n\\nfor i in range(2, 1000000):\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = s * 3 + 1\\n  if s in box:\\n    print(i)\\n    return\\n  else:\\n    box.add(s)\\n\", \"s = int(input())\\n\\ndef collatz(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\ncoll = s\\ni = 1\\nwhile 1:\\n    if coll == 1 or coll == 2 or coll == 4:\\n        print(i  + 3)\\n        break\\n    coll = collatz(coll)\\n    i += 1\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n  \\nprint(i)\", \"S=int(input())\\n\\na=[S]\\ntemp=S\\n\\ni=0\\n\\nwhile i<200:\\n\\ti+=1\\n\\tif temp%2==0:\\n\\t\\ta.append(temp//2)\\n\\telse:\\n\\t\\ta.append(temp*3+1)\\n\\ttemp=a[-1]\\n\\nfor n in range(200):\\n\\tfor m in range(n+1,200):\\n\\t\\tif a[n]==a[m]:\\n\\t\\t\\tprint(m+1)\\n\\t\\t\\treturn\", \"s=int(input())\\n\\na_list=[s]\\n\\n\\na=s\\nwhile True:\\n    \\n    if a%2==0:\\n        a=a//2\\n    else:\\n        a=3*a+1\\n    \\n    if a in a_list:\\n        break\\n    else:\\n        a_list.append(a)\\n\\nans=len(a_list)+1\\n\\nprint(ans)\", \"s = int(input())\\na = [s]\\n\\ndef func(n):\\n  if n % 2 == 0:\\n    a.append(n//2)\\n  elif n % 2 == 1:\\n    a.append(3*n + 1)\\n  \\ni = 1\\nwhile True:\\n  func(a[-1])\\n  i += 1\\n  if a.count(a[-1]) == 2:\\n    break\\n  else:\\n    pass\\n\\n\\nprint(i)\", \"def f(n):\\n    if n % 2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\n\\ns = int(input())\\ncnt = 0\\na = [s]\\nwhile True:\\n\\n    temp = f(a[cnt])\\n\\n    if temp in a:\\n        print((len(a)+1))\\n        return\\n    a.append(temp)\\n    cnt += 1\\n\", \"s = int(input())\\n\\ndef f(x):\\n    if x%2 == 0:\\n        return int(x/2)\\n    else:\\n        return 3*x + 1\\ni = 1\\nm_max = 1000000\\nb_s = s\\nb = set([s])\\nwhile i <= m_max:\\n    i += 1\\n    a = f(b_s)\\n    if a in b:\\n        break\\n    b.add(a)\\n    b_s = a\\nprint(i)\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"s = int(input())\\na = [s]\\nans = 0\\nfor i in range(1000000):\\n    if a[i] % 2 == 0:\\n        if a[i]/2 in a:\\n            ans = i + 2\\n            break\\n        a.append(a[i]/2)\\n    else:\\n        if 3*a[i] + 1 in a:\\n            ans = i + 2\\n            break\\n        a.append(3*a[i] + 1)\\nprint(ans)\", \"n = int(input())\\nc = 1\\nx = []\\nx.append(n)\\nwhile True:\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\\n    c+=1\\n    if n in x:\\n        break\\n    x.append(n)\\nprint(c)\", \"import sys\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    S = int(input())\\n\\n    x = set()\\n    x.add(S)\\n\\n    i = 1\\n    prev = S\\n    while True:\\n        i += 1\\n        if prev % 2 == 0:\\n            prev = prev // 2\\n        else:\\n            prev = prev * 3 + 1\\n\\n        if prev in x:\\n            print(i)\\n            return\\n\\n        x.add(prev)\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"s = int(input())\\narr = []\\nans = 0\\ndef calc(n, cnt):\\n    arr.append(n)\\n\\n    if cnt >= 1000000:\\n        return n\\n\\n    if n % 2 == 0:\\n        n = int(n / 2)\\n    else:\\n        n = int(3 * n + 1)\\n\\n    if n in arr:\\n        return cnt\\n\\n    cnt += 1\\n    calc(n, cnt)\\ncalc(s, 0)\\nprint((len(arr) + 1))\\n\", \"def func(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x + 1\\nA = [True for i in range(1000001)]\\nN = int(input())\\ncount = 1\\nwhile A[N]:\\n  A[N] = False\\n  N = func(N)\\n  count += 1\\nprint(count)\", \"a = [int(input())]\\n\\ni = 0\\nwhile True:\\n    if a[i]%2 == 0:\\n        a.append(int(a[i]/2))\\n    else:\\n        a.append(int((3*a[i])+1))\\n    if a.count(a[i]) == 2:\\n        break\\n    i += 1\\n\\nprint(i+1)\", \"s = int(input())\\nlist_a = [s]\\n\\nif s % 2 == 0:\\n    s = s / 2\\nelse:\\n    s = 3 * s + 1\\n    \\ncurrent = 2\\nwhile s not in list_a:\\n    list_a.append(s)\\n    if s % 2 == 0:\\n        s = s / 2\\n    else:\\n        s = 3 * s + 1\\n    current += 1\\n\\nprint(current)\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"s=int(input())\\n\\nans=1\\ns_st=set()\\nwhile s not in s_st:\\n  s_st.add(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=3*s+1\\n  ans+=1\\n\\nprint(ans)\", \"import sys\\ns = int(input())\\nf = [0 for _ in range(1000005)]\\nf[s] = 1\\nn = s\\nfor i in range(1000005):\\n  if(n%2==0):\\n    n = int(n/2)\\n  else:\\n    n = int(3*n + 1)\\n  if(f[n] == 1):\\n    print(i+2)\\n    return\\n  else:\\n    f[n] = 1\", \"s = int(input())\\n\\nsec = [s]\\ncount = 1\\nwhile(s):\\n  if sec[-1]%2 == 0:\\n    sec.append(sec[-1]/2)\\n  else:\\n    sec.append(3*sec[-1]+1)\\n  count+=1\\n    \\n  if sec[-1] in sec[:-1]:\\n    print(count)\\n    break\", \"s = int(input())\\nline = [0 for i in range(1000001)]\\nans = 1\\nline[s] += 1\\nwhile True:\\n  ans += 1\\n  if s % 2 == 0:\\n    s = int(s/2)\\n  else:\\n    s = 3*s + 1\\n  line[s] += 1\\n  if line[s] > 1:\\n    break\\nprint(ans)\", \"a = int(input())\\nl = [a]\\nfor i in range(1000000):\\n  if a % 2 == 0:\\n    a = a//2\\n  else:\\n    a = a*3 + 1\\n  if l.count(a)==2:\\n    print((1+max([i for i, x in enumerate(l) if x == a])))\\n    break\\n  else:\\n    l.append(a)\\n\", \"s = int(input())\\na = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = s * 3 + 1\\n    a.append(s)\\n    if a.count(s) == 2:\\n        print(len(a))\\n        break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    if n in a:\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s = int(input())\\na = [s]\\ni = 1\\nwhile True:\\n  if s % 2 == 0:\\n    s = s // 2\\n  else:\\n    s = 3 * s + 1\\n  if s in a:\\n    print(len(a) + 1)\\n    break\\n  a.append(s)\", \"s=int(input())\\ncnt = 1\\nS = [s]\\nwhile(1):\\n  cnt += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    print(cnt)\\n    break\\n  S.append(s)\\n\", \"def readinput():\\n    s=int(input())\\n    return s\\n\\ndef main(s):\\n    hist=[0]*1000001\\n    i=1\\n    n=s\\n    hist[n]+=1\\n    while hist[n]<=1:\\n        if n%2==0:\\n            n=n//2\\n        else:\\n            n=3*n+1\\n        i+=1\\n        hist[n]+=1\\n    return i\\n\\ndef __starting_point():\\n    s=readinput()\\n    ans=main(s)\\n    print(ans)\\n\\n__starting_point()\", \"s = int(input())\\n\\nmp = [False]*(10**6+1)\\ndef even_f(n):\\n    return n//2\\n\\ndef odd_f(n):\\n    return 3*n+1\\n\\nmp[s]=True\\nnow = s\\nfor i in range(1,10**6+1):\\n    if(now%2==0):\\n        now = even_f(now)\\n    else:\\n        now = odd_f(now)\\n\\n    if(mp[now]):\\n        savei=i\\n        break\\n    mp[now]=True\\n\\nprint((savei+1))\\n        \\n\", \"s = int(input())\\nans = [s]\\ni = 1\\nif s == 1 or s == 2:\\n    ans = 4\\nelse:\\n    while ans[i-1] != 4:\\n        if ans[i-1] % 2 ==0:\\n            ans.append(ans[i-1]//2)\\n        else:\\n            ans.append(ans[i-1]*3 + 1 )\\n        i += 1\\n    ans = i + 3\\nprint(ans)\", \"import sys\\n\\n\\ndef input(): return sys.stdin.readline().strip()\\ndef I(): return int(input())\\ndef LI(): return list(map(int, input().split()))\\ndef IR(n): return [I() for i in range(n)]\\ndef LIR(n): return [LI() for i in range(n)]\\ndef SR(n): return [S() for i in range(n)]\\ndef S(): return input()\\ndef LS(): return input().split()\\n\\n\\nINF = float('inf')\\n\\ns = I()\\nvs = set()\\nvs.add(s)\\nnow = 0 + s\\ni = 1\\nwhile True:\\n    i += 1\\n    now = now / 2 if now % 2 == 0 else 3*now + 1\\n    if now in vs:\\n        break\\n    else:\\n        vs.add(now)\\n\\nprint(i)\\n\", \"s = int(input())\\nlist_a = [s]\\n\\nfor i in range(1000000):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] / 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n        \\nfor index, ai in enumerate(list_a, 1):\\n    if ai in list_a[:index - 1]:\\n        print(index)\\n        break\\n\", \"\\nurl = \\\"https://atcoder.jp//contests/abc116/tasks/abc116_b\\\"\\n\\ndef calc(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\n\\ndef main():\\n    s = int(input())\\n    ans = [s]\\n    while True:\\n        tmp = calc(ans[-1])\\n        ans.append(tmp)\\n        if ans.index(tmp) != len(ans)-1:\\n            print((len(ans)))\\n            break\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"s=int(input())\\nL=[]\\nn=1\\nwhile not s in L:\\n  L.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  n+=1\\nprint(n)\", \"n = int(input())\\ndata =[0]* 1000000\\ndata[0] = n\\ni = 2\\nif n % 2 == 0:\\n    data[1] = n //2\\nelse:\\n    data[1] = 3 * n + 1\\nwhile data[i - 1] not in data[0: i -2]:\\n    if data[i-1] % 2 == 0:\\n            data[i] = data[i - 1]//2\\n    else:\\n            data[i] = 3 * data[i - 1] + 1\\n    i += 1\\nprint(i)\", \"s=int(input())\\nG =[]\\nwhile (s not in G):\\n  G.append(s)\\n  if s % 2==0:\\n    s = int(s//2)\\n  else:\\n    s = int(3*s+1)\\nprint(len(G)+1)\", \"s = int(input())\\nl = [s]\\na = set(l)\\nfor i in range(10**6):\\n  if l[-1] % 2 == 0:\\n    n = l[-1] // 2\\n  else:\\n    n = 3*l[-1] + 1\\n  if n not in a:\\n    a.add(n)\\n    l.append(n)\\n  else:\\n    print(len(l)+1)\\n    break\", \"a=int(input())\\ns=set()\\ni=1\\nwhile True:\\n    if a in s:\\n        print(i)\\n        break\\n    s|={a}\\n    if a%2==0:\\n        a>>=1\\n    else:\\n        a=3*a+1\\n    i+=1\\n\", \"s = int(input())\\n\\ndef f(n):\\n    if n%2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\nx = set()\\nans = 0\\nwhile True:\\n    ans += 1\\n    if s in x:\\n        print(ans)\\n        break\\n    x.add(s)\\n    s = f(s)\", \"a=int(input())\\ni=1\\nli=[a]\\nimport copy\\nwhile True:\\n    if li[i-1]%2==0:\\n        b=li[i-1]//2\\n    else:\\n        b=3*li[i-1]+1\\n    if b in li:\\n        print((i+1))\\n        return\\n    li.append(b)\\n    i+=1\\n        \\n\", \"s=int(input())\\ndef f(n):\\n    if n%2==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\na=[0]*(10**8)\\na[s]=1\\ncnt=1\\nfor _ in range(10**7):\\n    s=f(s)\\n    cnt+=1\\n    if a[s]:\\n        print(cnt)\\n        break\\n    a[s]=1\\n\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"n = int(input())\\n\\ndp = [True]*(n*1000000)\\ndp[n] = False\\nres =1\\nwhile n <1000001:\\n    res +=1\\n    if n % 2 ==1:\\n        n = n*3+1\\n    else:\\n        n = n//2\\n    \\n    if dp[n]:\\n        dp[n] = False\\n    else:\\n        print(res)\\n        return\", \"s = int(input())\\n\\na = [0]*(10**6+1)\\nc = [0]*(10**6+1)\\na[1] = s\\nc[s] = 1\\nfor i in range(2, 10**6+1):\\n    v = a[i-1]//2 if a[i-1] % 2 == 0 else 3*a[i-1]+1\\n    a[i] = v\\n    if c[v] == 1:\\n        print(i)\\n        return\\n    c[v] = 1\", \"S = int(input())\\narray = []\\narray.append(S)\\n\\nwhile True:\\n  count = 0\\n  if S % 2 == 0:\\n    S = S / 2\\n    array.append(S)\\n  else:\\n    S = 3 * S + 1\\n    array.append(S)\\n  for i in range(len(array)):\\n    if S == array[i]:\\n      count += 1\\n      if count == 2:\\n        print((i + 1))\\n        return\\n\", \"a=int(input())\\nb=0\\nif a==2:\\n  print(4)\\nelif a==1:\\n  print(4)\\nelse:\\n  while a!=4:\\n    if a%2==0:\\n      a=a//2\\n      b=b+1\\n    else:\\n      a=3*a+1\\n      b=b+1\\n  print(b+4)\", \"s = int(input())\\n\\nans_list = [s]\\ncurr_value = s\\nindex = 1\\nwhile(True):\\n    if curr_value%2==0:\\n        curr_value = int(curr_value/2)\\n    else:\\n        curr_value = 3*curr_value + 1\\n    index += 1\\n    if curr_value in ans_list:\\n        break\\n    else:\\n        ans_list.append(curr_value)\\nprint(index)\", \"a = int(input())\\ns = set([a])\\n\\nfor i in range(10**6):\\n\\tif a % 2 == 0:\\n\\t\\t# print(\\\"Process for even.\\\")\\n\\t\\ta = a//2\\n\\telse:\\n\\t\\t# print(\\\"Process for odd.\\\")\\n\\t\\ta = 3*a + 1\\n\\tif a not in s:\\n\\t\\ts.add(a)\\n\\telse:\\n\\t\\tprint((i+2))\\n\\t\\tbreak\\n\", \"def f(n):\\n\\tif n % 2 == 0:\\n\\t\\treturn n / 2\\n\\telse:\\n\\t\\treturn 3 * n + 1\\n\\t\\t\\ns = int(input())\\n\\na = []\\nfor i in range(1000000):\\n\\tif i == 0:\\n\\t\\ta.append(s)\\n\\telse:\\n\\t\\tif f(a[-1]) in a:\\n\\t\\t\\tprint(i+1)\\n\\t\\t\\tbreak\\n\\t\\telse:\\n\\t\\t\\ta.append(f(a[-1]))\", \"s = int(input())\\nvisited = [False]*(10**6+1)\\n\\nvisited[s] = True\\ncnt = 1\\n\\nwhile True:\\n    if s & 1:\\n        s = s * 3 + 1\\n    else:\\n        s //= 2\\n    \\n    cnt += 1\\n\\n    if visited[s]:\\n        print(cnt)\\n        break\\n\\n    visited[s] = True\", \"s = int(input())\\na = [s]\\nfor i in range(1, 1000001):\\n    if a[i-1]%2 == 0:\\n        x = a[i-1]//2\\n        if x in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(x)\\n    else:\\n        y = a[i-1]*3 + 1\\n        if y in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(y)\", \"from sys import stdin\\n\\ns = int(stdin.readline().strip())\\nmem = []\\na = s\\n\\nfor i in range(1000000):\\n  if a in mem:\\n    print(i+1)\\n    return\\n  mem.append(a)\\n  if a % 2 == 0: a = a // 2\\n  else: a = 3 * a + 1\"]",
        "difficulty": "introductory",
        "input": "97\n",
        "output": "120\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc116/tasks/abc116_b"
    },
    {
        "id": 487,
        "task_id": 4311,
        "test_case_id": 11,
        "question": "A sequence a=\\{a_1,a_2,a_3,......\\} is determined as follows:\n - The first term s is given as input.\n - Let f(n) be the following function: f(n) = n/2 if n is even, and f(n) = 3n+1 if n is odd.\n - a_i = s when i = 1, and a_i = f(a_{i-1}) when i > 1.\nFind the minimum integer m that satisfies the following condition:\n - There exists an integer n such that a_m = a_n (m > n).\n\n-----Constraints-----\n - 1 \\leq s \\leq 100\n - All values in input are integers.\n - It is guaranteed that all elements in a and the minimum m that satisfies the condition are at most 1000000.\n\n-----Input-----\nInput is given from Standard Input in the following format:\ns\n\n-----Output-----\nPrint the minimum integer m that satisfies the condition.\n\n-----Sample Input-----\n8\n\n-----Sample Output-----\n5\n\na=\\{8,4,2,1,4,2,1,4,2,1,......\\}. As a_5=a_2, the answer is 5.",
        "solutions": "[\"from collections import defaultdict\\n\\nd = defaultdict(bool)\\n\\nn = int(input())\\nfor i in range(1000000):\\n\\n    if d[n]:\\n        print((i + 1))\\n        return\\n    d[n] = True\\n    if n & 1:\\n        n = n * 3 + 1\\n    else:\\n        n >>= 1\\n\", \"a=int(input())\\nb=[]\\nb.append(a)\\nwhile True:\\n    if a%2==0:\\n        a=a/2\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\\n    elif a%2!=0:\\n        a=3*a+1\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\", \"s = int(input())\\na = s\\nc = 0\\nif a == 1 or a == 2:\\n  ans = 4\\nelse:\\n  while a != 1:\\n    if a%2 == 0:\\n      a = int(a/2)\\n      c += 1\\n    else:\\n      a = int(3*a+1)\\n      c += 1\\n  ans = c+2\\nprint(ans)\", \"s = int(input())\\nans = [0]*1000001\\ncnt = 1\\n\\nwhile True:\\n    if ans[s] == 0:\\n        ans[s] += 1\\n\\n        if s%2 == 0:\\n            s = s//2\\n        else:\\n            s = 3*s+1\\n        cnt += 1\\n\\n    if ans[s] != 0:\\n        print(cnt)\\n        return\\n\\n\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n\\nprint(i)\", \"n=int(input())\\nli = []\\nwhile not n in li:\\n  li.append(n)\\n  if n % 2 == 0:\\n    n //= 2\\n  else:\\n    n = n * 3 + 1\\n  \\nprint(len(li)+1)\", \"s = int(input())\\n\\nlst = [s]\\nprev = s\\nfor m in range(2, 1000001):\\n    if prev % 2 == 0:\\n        i = int(prev / 2)\\n    else:\\n        i = 3 * prev + 1\\n    if i in lst:\\n        print(m)\\n        break\\n    lst.append(i)\\n    prev = i\", \"s = int(input())\\na = [s]\\nwhile True:\\n  if a.count(a[-1]) == 2:\\n    print(len(a))\\n    return\\n  if a[-1]%2 == 0:\\n    a.append(a[-1]/2)\\n  else:\\n    a.append(3*a[-1]+1)\", \"n = int(input())\\nc = 0\\nx = []\\nwhile True:\\n    c+=1\\n    if n in x:\\n        print(c)\\n        break\\n    x.append(n)\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\", \"n=int(input())\\na=[n]\\ncnt=1\\nwhile len(set(a))==len(a):\\n    if n%2==0: \\n        n//=2\\n    else:\\n        n=3*n+1\\n    a.append(n)\\n    cnt+=1\\nprint(cnt)\\n\", \"s=int(input())\\na=[0]*10**6\\na[0]=s\\n\\ndef f(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x+1\\nt=0 \\nwhile f(a[t])>0:\\n  p=f(a[t])\\n  if p in a:\\n    print((t+2))\\n    return\\n  a[t+1]=p\\n  t+=1\\n\", \"def func(n: int) -> int:\\n    return n // 2 if n % 2 == 0 else n * 3 + 1\\n\\n\\ndef answer(s: int) -> int:\\n    sequence_a = [s]\\n    while True:\\n        num = func(sequence_a[-1])\\n        if num in sequence_a:\\n            return len(sequence_a) + 1\\n        sequence_a.append(num)\\n\\n\\ndef main():\\n    s = int(input())\\n    print((answer(s)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\ndef f(n):\\n    if n % 2 == 0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\ns = k()\\nnum.append(s)\\nwhile True:\\n    cnt += 1\\n    s = f(s)\\n    if s in num:\\n        print((cnt+1))\\n        return\\n    else:\\n        num.append(s)\\n        \\n\\n\\n\", \"s = int(input())\\nTMP = [s]\\n\\nif s==1 or s==2:\\n    print(4)\\nelse:\\n    while TMP[-1]!=1:\\n        if TMP[-1] % 2 == 0:\\n            TMP.append(TMP[-1]//2)\\n        elif TMP[-1] % 2 != 0:\\n            TMP.append(3 * TMP[-1] + 1)\\n    print(len(TMP)+1)\", \"s = int(input())\\nl = []\\ndef myfunc(x):\\n  if x%2 == 0:\\n    x = x//2\\n  else:\\n    x = 3*x + 1\\n  return x\\nfor i in range(10**6):\\n  l.append(s)\\n  s = myfunc(s)\\n  if s in l:\\n    print(i+2)\\n    break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    # \\u524d\\u56de\\u306e\\u5024\\u306b\\u3088\\u3063\\u3066\\u8a08\\u7b97\\u3092\\u5909\\u3048\\u308b\\u3002\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    # \\u6570\\u5217\\u306b\\u540c\\u3058\\u5024\\u304c\\u542b\\u307e\\u308c\\u3066\\u3044\\u308b\\u304b\\u3069\\u3046\\u304b\\uff1f\\n    if n in a:\\n\\t  \\t# \\u914d\\u5217\\u304c0\\u304b\\u3089\\u59cb\\u307e\\u308b\\u305f\\u3081\\u3001\\u30ab\\u30a6\\u30f3\\u30c8\\u30a2\\u30c3\\u30d7\\u3002\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s=int(input())\\ncol=[]\\na=s\\ncount=1\\nwhile True:\\n  col.append(a) \\n  if a%2==0:\\n    a=a/2\\n  else:\\n    a=a*3+1\\n  if a in col:\\n    print(count+1)\\n    break\\n  count+=1\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = []\\nans.append(s)\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"def main():\\n    def f(n):\\n        return 3 * n + 1 if n % 2 else n // 2\\n    s = int(input())\\n    a = [s]\\n    for i in range(1, 11**6):\\n        x = f(a[i-1])\\n        if x in a:\\n            return len(a) + 1; return\\n        a.append(x)\\n\\n\\nprint(main())\", \"s=int(input())\\na=[]\\nans=1\\nwhile True:\\n  a.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  ans+=1\\n  if s in a:\\n    print(ans)\\n    break\", \"s = int(input())\\nli = []\\nli.append(s)\\n\\nfor i in range(1,1000000000):\\n    if li[i-1] % 2 == 0:\\n        li.append(li[i-1]//2)\\n    else:\\n        li.append(li[i-1]*3+1)\\n\\n    for j in range(len(li)-1):\\n        if li[j] ==li[i]:\\n            print((i+1))\\n            return\\n\", \"s = int(input())\\na = [s]\\nb = 1\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = 3 * s + 1\\n    if s in a:\\n        print(len(a) + 1)\\n        return\\n    a.append(s)\", \"s = int(input())\\nL = []\\nfor c in range(2 , 10 ** 6 + 1):\\n  L.append(s)\\n  if s % 2 == 0:\\n    s = s // 2\\n  elif s % 2 == 1:\\n    s = s * 3 + 1\\n  if s in L:\\n    break\\nprint(c)\", \"s = int(input())\\n\\nif s == 1 or s == 2:\\n    print(4)\\n    return\\n\\ndef function(n):\\n    if n % 2 == 0:\\n        return int(n/2)\\n    else:\\n        return int(n*3+1)\\ni = 0\\ncount = 0\\na = []\\na.append(s)\\nwhile count < 2:\\n    a.append(function(a[i]))\\n    if a[i] == 4:\\n        count += 1\\n    i += 1\\nprint(i)\", \"n=int(input())\\nl=[n]\\nwhile True:\\n    if n%2==0:\\n        n//=2\\n    else:\\n        n=n*3+1\\n    if n in l:\\n        break\\n    else:\\n        l.append(n)\\nprint((len(l)+1))\\n\", \"s = int(input())\\nlist_a = [None]\\nlist_a.append(s)\\nans = 0\\nfor i in range(1, 10 ** 6 + 1):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] // 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n    if list_a[i] in list_a[:i]:\\n        ans = i\\n        break\\nprint(ans)\", \"s = int(input())\\nS = [str(s)]\\ni = 1\\nwhile True:\\n    if s % 2 == 0:\\n        i += 1\\n        s = s//2\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\n    else:\\n        i += 1\\n        s = int(3 * s + 1)\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\npass\\n\", \"import sys\\nimport copy\\ns = int(input())\\n\\ndef f(n):\\n    if n%2==0:\\n        return int(n/2)\\n    else:\\n        return 3*n+1\\n\\nfor i in range(1000000):\\n    if i == 0:\\n        a=[s]\\n    else:\\n        a.append(f(a[i-1]))\\n    \\n    if a.count(a[i]) == 2:\\n        print((i+1))\\n        return\\n\", \"# import math\\n# import statistics\\na=int(input())\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\n# e1,e2 = map(int,input().split())\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\n\\nda=True\\nap=[a]\\ncount=1\\nwhile da:\\n    if a%2==0:\\n        a=a//2\\n        ap.append(a)\\n    elif a%2==1:\\n        a=3*a+1\\n        ap.append(a)\\n    count+=1\\n    if len(set(ap))<len(ap):\\n        print(count)\\n        da=False\\n\", \"a = int(input())\\n \\ndic = {}\\ndic[a] = 1\\n\\ni = 1\\nwhile True:\\n  i += 1\\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n    \\n  if a in dic: break\\n  dic[a] = 1\\n  \\nprint(i)\", \"s = int(input())\\n\\nif s < 3:\\n  print(4)\\n  return\\n\\ncnt = 1\\nval = s\\nwhile True:\\n  if cnt > 1 and val == 1:\\n    break\\n  \\n  if val % 2 == 0:\\n    val = val//2\\n  else:\\n    val = val*3+1\\n    \\n  cnt += 1\\n             \\nprint(cnt+1)\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = [s]\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"n = int(input())\\na = [n]\\nindex = 0\\n\\nfor i in range(1, 1000000):\\n    if a[i - 1] % 2 == 0:\\n        m = a[i - 1] / 2\\n    else:\\n        m = 3 * a[i - 1] + 1\\n    if m in a:\\n        index = i + 1\\n        break\\n    a.append(m)\\nprint(index)\", \"s = int(input())\\n\\nmax_ = 1000000\\nchk = [0]*max_\\na = s\\ni = 1\\nwhile i <= max_:\\n    if chk[a] == 0:\\n        chk[a] += 1\\n    else:\\n        print(i)\\n        return\\n    if a%2 == 0:\\n        a = int(a/2)\\n    else:\\n        a = 3*a + 1\\n    i += 1\\n\", \"s = int(input())\\n\\nA = [s]\\nidx = 1\\nwhile True:\\n    n = A[idx-1]\\n    if n % 2:\\n        f = 3*n + 1\\n    else:\\n        f = n / 2\\n    idx += 1\\n    A.append(f)\\n    if len(A) != len(set(A)):\\n        break\\nprint(idx)\", \"s = int(input())\\n\\ncount = 1\\nn = s\\ncheck = 0\\nlist = [s]\\n\\n\\nfor i in range(30000):\\n        if n % 2 == 0:\\n            n = n / 2\\n            list.append(n)\\n        else:\\n            n = n*3 + 1\\n            list.append(n)\\n        \\n        count = count + 1\\n        list.sort()\\n        for j in range(len(list) - 1):\\n            if list[j] ==list[j+1]:\\n                check = 1\\n                break\\n            \\n        if check == 1:\\n            break\\n        \\n\\n\\nprint(count)\\n\\n\", \"S = int(input())\\ns, c = S, 1\\nresult = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    elif s % 2 == 1:\\n        s = s * 3 + 1\\n\\n    result.append(s)\\n    c += 1\\n    if len(set(result)) < len(result):\\n        break\\n\\nprint(c)\", \"#-*-coding:utf-8-*-\\nimport sys\\ninput=sys.stdin.readline\\n\\ndef func(n):\\n    ans =0\\n    if n%2==0:\\n        ans=n//2\\n    else:\\n        ans=3*n+1\\n    return ans\\n\\ndef main():\\n    s = int(input())\\n    dp=[s]\\n    counter=0\\n\\n    if s==1 or s==2:\\n        print(4)\\n        return\\n\\n    while counter < 1000001:\\n        n=dp.pop()\\n        tmp = func(n)\\n        dp.append(n)\\n        dp.append(tmp)\\n        counter+=1\\n        if tmp==4:\\n            print(dp.index(tmp)+4)\\n            break\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\nS = int(input())\\n\\na = [S]\\ncnt = 1\\nwhile True:\\n    if S%2 == 0:\\n        S /= 2\\n    else:\\n        S = 3*S + 1\\n    cnt += 1\\n    if S in a:\\n        break\\n    else:\\n        a.append(S)\\n\\nprint(cnt)\", \"s = int(input())\\n\\nnum_lists = [s]\\ncnt = 1\\nwhile True:\\n    if (num_lists[-1])%2 == 0:\\n        tmp = num_lists[-1]/2\\n    else:\\n        tmp =(num_lists[-1]*3)+1\\n    cnt += 1\\n    if tmp in num_lists:\\n        ans = cnt\\n        break\\n    else:\\n        num_lists.append(tmp)\\n\\nprint(ans)\", \"import sys\\ns=int(input())\\n\\ncnt=0\\n\\nif s==1 or s==2:\\n  print('4')\\n  return\\n\\nwhile s!=4:\\n  if s%2!=0:\\n    s=3*s+1\\n    cnt+=1\\n  elif s%2==0:\\n    s=s//2\\n    cnt+=1\\n\\nif s==4:\\n  print(cnt+4)\", \"s=int(input())\\na=[]\\nna=[]\\na.append(s)\\nfor i in range(1,10**6):\\n    if a[i-1]%2==0:\\n        a.append(a[i-1]/2)\\n    else:\\n        a.append(a[i-1]*3+1)\\n    na=set(a)\\n    if len(na)!=i+1:\\n        print(i+1)\\n        return\", \"s = int(input())\\n\\na = []\\na.append(s)\\nfor i in range(1000000):\\n  if a[i]%2 == 0:\\n    a.append(a[i] // 2)\\n  else:\\n    a.append(3*a[i] + 1)\\n  for j in range(i-1):\\n    if a[i+1] == a[j]:\\n      print(len(a))\\n      return\", \"s = int(input())\\ndef p(n):\\n    if n%2 ==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\nl = [s]\\ncnt = 1\\nwhile True:\\n    cnt +=1\\n    s = p(s)\\n    if s in l:\\n        print(cnt)\\n        return\\n    else:\\n        l.append(s)\", \"s = int (input ())\\nl = []\\na = 0\\nl.append (s)\\nfor i in range (1000000):\\n  a += 1\\n  if s%2 == 0:\\n    s = round(s/2)\\n  else:\\n    s = s*3+1\\n  if l.count (s) != 0:\\n    print (a+1)\\n    break\\n  else:\\n    l.append (s)\", \"s = int(input())\\n\\n\\nclass Solution:\\n    def __init__(self,s):\\n        self.s = s\\n    \\n    def function_a(self):\\n        if self.s % 2 == 0:\\n            return self.s / 2\\n        else:\\n            return 3 * self.s + 1\\n    \\n    def answer(self):\\n        list_a = [self.s]\\n        self.s = self.function_a()\\n        ans = 2\\n        while self.s not in list_a:\\n            list_a.append(self.s)\\n            self.s = self.function_a()\\n            ans += 1\\n        print(ans)\\n\\n\\nconditon = Solution(s)\\nconditon.answer()\", \"S = int(input())\\nl = []\\n\\nwhile S not in l:\\n    l.append(S)\\n    if S%2 == 0:\\n        S //=2\\n    else:\\n        S = 3*S + 1\\nprint((len(l)+1))\\n\", \"s = int(input())\\nS = {s}\\ni = 1\\nwhile True:\\n  i += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    break\\n  S.add(s)\\nprint(i)\", \"s = int(input())\\n\\nbox = set()\\nbox.add(s)\\n\\nfor i in range(2, 1000000):\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = s * 3 + 1\\n  if s in box:\\n    print(i)\\n    return\\n  else:\\n    box.add(s)\\n\", \"s = int(input())\\n\\ndef collatz(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\ncoll = s\\ni = 1\\nwhile 1:\\n    if coll == 1 or coll == 2 or coll == 4:\\n        print(i  + 3)\\n        break\\n    coll = collatz(coll)\\n    i += 1\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n  \\nprint(i)\", \"S=int(input())\\n\\na=[S]\\ntemp=S\\n\\ni=0\\n\\nwhile i<200:\\n\\ti+=1\\n\\tif temp%2==0:\\n\\t\\ta.append(temp//2)\\n\\telse:\\n\\t\\ta.append(temp*3+1)\\n\\ttemp=a[-1]\\n\\nfor n in range(200):\\n\\tfor m in range(n+1,200):\\n\\t\\tif a[n]==a[m]:\\n\\t\\t\\tprint(m+1)\\n\\t\\t\\treturn\", \"s=int(input())\\n\\na_list=[s]\\n\\n\\na=s\\nwhile True:\\n    \\n    if a%2==0:\\n        a=a//2\\n    else:\\n        a=3*a+1\\n    \\n    if a in a_list:\\n        break\\n    else:\\n        a_list.append(a)\\n\\nans=len(a_list)+1\\n\\nprint(ans)\", \"s = int(input())\\na = [s]\\n\\ndef func(n):\\n  if n % 2 == 0:\\n    a.append(n//2)\\n  elif n % 2 == 1:\\n    a.append(3*n + 1)\\n  \\ni = 1\\nwhile True:\\n  func(a[-1])\\n  i += 1\\n  if a.count(a[-1]) == 2:\\n    break\\n  else:\\n    pass\\n\\n\\nprint(i)\", \"def f(n):\\n    if n % 2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\n\\ns = int(input())\\ncnt = 0\\na = [s]\\nwhile True:\\n\\n    temp = f(a[cnt])\\n\\n    if temp in a:\\n        print((len(a)+1))\\n        return\\n    a.append(temp)\\n    cnt += 1\\n\", \"s = int(input())\\n\\ndef f(x):\\n    if x%2 == 0:\\n        return int(x/2)\\n    else:\\n        return 3*x + 1\\ni = 1\\nm_max = 1000000\\nb_s = s\\nb = set([s])\\nwhile i <= m_max:\\n    i += 1\\n    a = f(b_s)\\n    if a in b:\\n        break\\n    b.add(a)\\n    b_s = a\\nprint(i)\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"s = int(input())\\na = [s]\\nans = 0\\nfor i in range(1000000):\\n    if a[i] % 2 == 0:\\n        if a[i]/2 in a:\\n            ans = i + 2\\n            break\\n        a.append(a[i]/2)\\n    else:\\n        if 3*a[i] + 1 in a:\\n            ans = i + 2\\n            break\\n        a.append(3*a[i] + 1)\\nprint(ans)\", \"n = int(input())\\nc = 1\\nx = []\\nx.append(n)\\nwhile True:\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\\n    c+=1\\n    if n in x:\\n        break\\n    x.append(n)\\nprint(c)\", \"import sys\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    S = int(input())\\n\\n    x = set()\\n    x.add(S)\\n\\n    i = 1\\n    prev = S\\n    while True:\\n        i += 1\\n        if prev % 2 == 0:\\n            prev = prev // 2\\n        else:\\n            prev = prev * 3 + 1\\n\\n        if prev in x:\\n            print(i)\\n            return\\n\\n        x.add(prev)\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"s = int(input())\\narr = []\\nans = 0\\ndef calc(n, cnt):\\n    arr.append(n)\\n\\n    if cnt >= 1000000:\\n        return n\\n\\n    if n % 2 == 0:\\n        n = int(n / 2)\\n    else:\\n        n = int(3 * n + 1)\\n\\n    if n in arr:\\n        return cnt\\n\\n    cnt += 1\\n    calc(n, cnt)\\ncalc(s, 0)\\nprint((len(arr) + 1))\\n\", \"def func(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x + 1\\nA = [True for i in range(1000001)]\\nN = int(input())\\ncount = 1\\nwhile A[N]:\\n  A[N] = False\\n  N = func(N)\\n  count += 1\\nprint(count)\", \"a = [int(input())]\\n\\ni = 0\\nwhile True:\\n    if a[i]%2 == 0:\\n        a.append(int(a[i]/2))\\n    else:\\n        a.append(int((3*a[i])+1))\\n    if a.count(a[i]) == 2:\\n        break\\n    i += 1\\n\\nprint(i+1)\", \"s = int(input())\\nlist_a = [s]\\n\\nif s % 2 == 0:\\n    s = s / 2\\nelse:\\n    s = 3 * s + 1\\n    \\ncurrent = 2\\nwhile s not in list_a:\\n    list_a.append(s)\\n    if s % 2 == 0:\\n        s = s / 2\\n    else:\\n        s = 3 * s + 1\\n    current += 1\\n\\nprint(current)\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"s=int(input())\\n\\nans=1\\ns_st=set()\\nwhile s not in s_st:\\n  s_st.add(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=3*s+1\\n  ans+=1\\n\\nprint(ans)\", \"import sys\\ns = int(input())\\nf = [0 for _ in range(1000005)]\\nf[s] = 1\\nn = s\\nfor i in range(1000005):\\n  if(n%2==0):\\n    n = int(n/2)\\n  else:\\n    n = int(3*n + 1)\\n  if(f[n] == 1):\\n    print(i+2)\\n    return\\n  else:\\n    f[n] = 1\", \"s = int(input())\\n\\nsec = [s]\\ncount = 1\\nwhile(s):\\n  if sec[-1]%2 == 0:\\n    sec.append(sec[-1]/2)\\n  else:\\n    sec.append(3*sec[-1]+1)\\n  count+=1\\n    \\n  if sec[-1] in sec[:-1]:\\n    print(count)\\n    break\", \"s = int(input())\\nline = [0 for i in range(1000001)]\\nans = 1\\nline[s] += 1\\nwhile True:\\n  ans += 1\\n  if s % 2 == 0:\\n    s = int(s/2)\\n  else:\\n    s = 3*s + 1\\n  line[s] += 1\\n  if line[s] > 1:\\n    break\\nprint(ans)\", \"a = int(input())\\nl = [a]\\nfor i in range(1000000):\\n  if a % 2 == 0:\\n    a = a//2\\n  else:\\n    a = a*3 + 1\\n  if l.count(a)==2:\\n    print((1+max([i for i, x in enumerate(l) if x == a])))\\n    break\\n  else:\\n    l.append(a)\\n\", \"s = int(input())\\na = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = s * 3 + 1\\n    a.append(s)\\n    if a.count(s) == 2:\\n        print(len(a))\\n        break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    if n in a:\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s = int(input())\\na = [s]\\ni = 1\\nwhile True:\\n  if s % 2 == 0:\\n    s = s // 2\\n  else:\\n    s = 3 * s + 1\\n  if s in a:\\n    print(len(a) + 1)\\n    break\\n  a.append(s)\", \"s=int(input())\\ncnt = 1\\nS = [s]\\nwhile(1):\\n  cnt += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    print(cnt)\\n    break\\n  S.append(s)\\n\", \"def readinput():\\n    s=int(input())\\n    return s\\n\\ndef main(s):\\n    hist=[0]*1000001\\n    i=1\\n    n=s\\n    hist[n]+=1\\n    while hist[n]<=1:\\n        if n%2==0:\\n            n=n//2\\n        else:\\n            n=3*n+1\\n        i+=1\\n        hist[n]+=1\\n    return i\\n\\ndef __starting_point():\\n    s=readinput()\\n    ans=main(s)\\n    print(ans)\\n\\n__starting_point()\", \"s = int(input())\\n\\nmp = [False]*(10**6+1)\\ndef even_f(n):\\n    return n//2\\n\\ndef odd_f(n):\\n    return 3*n+1\\n\\nmp[s]=True\\nnow = s\\nfor i in range(1,10**6+1):\\n    if(now%2==0):\\n        now = even_f(now)\\n    else:\\n        now = odd_f(now)\\n\\n    if(mp[now]):\\n        savei=i\\n        break\\n    mp[now]=True\\n\\nprint((savei+1))\\n        \\n\", \"s = int(input())\\nans = [s]\\ni = 1\\nif s == 1 or s == 2:\\n    ans = 4\\nelse:\\n    while ans[i-1] != 4:\\n        if ans[i-1] % 2 ==0:\\n            ans.append(ans[i-1]//2)\\n        else:\\n            ans.append(ans[i-1]*3 + 1 )\\n        i += 1\\n    ans = i + 3\\nprint(ans)\", \"import sys\\n\\n\\ndef input(): return sys.stdin.readline().strip()\\ndef I(): return int(input())\\ndef LI(): return list(map(int, input().split()))\\ndef IR(n): return [I() for i in range(n)]\\ndef LIR(n): return [LI() for i in range(n)]\\ndef SR(n): return [S() for i in range(n)]\\ndef S(): return input()\\ndef LS(): return input().split()\\n\\n\\nINF = float('inf')\\n\\ns = I()\\nvs = set()\\nvs.add(s)\\nnow = 0 + s\\ni = 1\\nwhile True:\\n    i += 1\\n    now = now / 2 if now % 2 == 0 else 3*now + 1\\n    if now in vs:\\n        break\\n    else:\\n        vs.add(now)\\n\\nprint(i)\\n\", \"s = int(input())\\nlist_a = [s]\\n\\nfor i in range(1000000):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] / 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n        \\nfor index, ai in enumerate(list_a, 1):\\n    if ai in list_a[:index - 1]:\\n        print(index)\\n        break\\n\", \"\\nurl = \\\"https://atcoder.jp//contests/abc116/tasks/abc116_b\\\"\\n\\ndef calc(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\n\\ndef main():\\n    s = int(input())\\n    ans = [s]\\n    while True:\\n        tmp = calc(ans[-1])\\n        ans.append(tmp)\\n        if ans.index(tmp) != len(ans)-1:\\n            print((len(ans)))\\n            break\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"s=int(input())\\nL=[]\\nn=1\\nwhile not s in L:\\n  L.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  n+=1\\nprint(n)\", \"n = int(input())\\ndata =[0]* 1000000\\ndata[0] = n\\ni = 2\\nif n % 2 == 0:\\n    data[1] = n //2\\nelse:\\n    data[1] = 3 * n + 1\\nwhile data[i - 1] not in data[0: i -2]:\\n    if data[i-1] % 2 == 0:\\n            data[i] = data[i - 1]//2\\n    else:\\n            data[i] = 3 * data[i - 1] + 1\\n    i += 1\\nprint(i)\", \"s=int(input())\\nG =[]\\nwhile (s not in G):\\n  G.append(s)\\n  if s % 2==0:\\n    s = int(s//2)\\n  else:\\n    s = int(3*s+1)\\nprint(len(G)+1)\", \"s = int(input())\\nl = [s]\\na = set(l)\\nfor i in range(10**6):\\n  if l[-1] % 2 == 0:\\n    n = l[-1] // 2\\n  else:\\n    n = 3*l[-1] + 1\\n  if n not in a:\\n    a.add(n)\\n    l.append(n)\\n  else:\\n    print(len(l)+1)\\n    break\", \"a=int(input())\\ns=set()\\ni=1\\nwhile True:\\n    if a in s:\\n        print(i)\\n        break\\n    s|={a}\\n    if a%2==0:\\n        a>>=1\\n    else:\\n        a=3*a+1\\n    i+=1\\n\", \"s = int(input())\\n\\ndef f(n):\\n    if n%2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\nx = set()\\nans = 0\\nwhile True:\\n    ans += 1\\n    if s in x:\\n        print(ans)\\n        break\\n    x.add(s)\\n    s = f(s)\", \"a=int(input())\\ni=1\\nli=[a]\\nimport copy\\nwhile True:\\n    if li[i-1]%2==0:\\n        b=li[i-1]//2\\n    else:\\n        b=3*li[i-1]+1\\n    if b in li:\\n        print((i+1))\\n        return\\n    li.append(b)\\n    i+=1\\n        \\n\", \"s=int(input())\\ndef f(n):\\n    if n%2==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\na=[0]*(10**8)\\na[s]=1\\ncnt=1\\nfor _ in range(10**7):\\n    s=f(s)\\n    cnt+=1\\n    if a[s]:\\n        print(cnt)\\n        break\\n    a[s]=1\\n\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"n = int(input())\\n\\ndp = [True]*(n*1000000)\\ndp[n] = False\\nres =1\\nwhile n <1000001:\\n    res +=1\\n    if n % 2 ==1:\\n        n = n*3+1\\n    else:\\n        n = n//2\\n    \\n    if dp[n]:\\n        dp[n] = False\\n    else:\\n        print(res)\\n        return\", \"s = int(input())\\n\\na = [0]*(10**6+1)\\nc = [0]*(10**6+1)\\na[1] = s\\nc[s] = 1\\nfor i in range(2, 10**6+1):\\n    v = a[i-1]//2 if a[i-1] % 2 == 0 else 3*a[i-1]+1\\n    a[i] = v\\n    if c[v] == 1:\\n        print(i)\\n        return\\n    c[v] = 1\", \"S = int(input())\\narray = []\\narray.append(S)\\n\\nwhile True:\\n  count = 0\\n  if S % 2 == 0:\\n    S = S / 2\\n    array.append(S)\\n  else:\\n    S = 3 * S + 1\\n    array.append(S)\\n  for i in range(len(array)):\\n    if S == array[i]:\\n      count += 1\\n      if count == 2:\\n        print((i + 1))\\n        return\\n\", \"a=int(input())\\nb=0\\nif a==2:\\n  print(4)\\nelif a==1:\\n  print(4)\\nelse:\\n  while a!=4:\\n    if a%2==0:\\n      a=a//2\\n      b=b+1\\n    else:\\n      a=3*a+1\\n      b=b+1\\n  print(b+4)\", \"s = int(input())\\n\\nans_list = [s]\\ncurr_value = s\\nindex = 1\\nwhile(True):\\n    if curr_value%2==0:\\n        curr_value = int(curr_value/2)\\n    else:\\n        curr_value = 3*curr_value + 1\\n    index += 1\\n    if curr_value in ans_list:\\n        break\\n    else:\\n        ans_list.append(curr_value)\\nprint(index)\", \"a = int(input())\\ns = set([a])\\n\\nfor i in range(10**6):\\n\\tif a % 2 == 0:\\n\\t\\t# print(\\\"Process for even.\\\")\\n\\t\\ta = a//2\\n\\telse:\\n\\t\\t# print(\\\"Process for odd.\\\")\\n\\t\\ta = 3*a + 1\\n\\tif a not in s:\\n\\t\\ts.add(a)\\n\\telse:\\n\\t\\tprint((i+2))\\n\\t\\tbreak\\n\", \"def f(n):\\n\\tif n % 2 == 0:\\n\\t\\treturn n / 2\\n\\telse:\\n\\t\\treturn 3 * n + 1\\n\\t\\t\\ns = int(input())\\n\\na = []\\nfor i in range(1000000):\\n\\tif i == 0:\\n\\t\\ta.append(s)\\n\\telse:\\n\\t\\tif f(a[-1]) in a:\\n\\t\\t\\tprint(i+1)\\n\\t\\t\\tbreak\\n\\t\\telse:\\n\\t\\t\\ta.append(f(a[-1]))\", \"s = int(input())\\nvisited = [False]*(10**6+1)\\n\\nvisited[s] = True\\ncnt = 1\\n\\nwhile True:\\n    if s & 1:\\n        s = s * 3 + 1\\n    else:\\n        s //= 2\\n    \\n    cnt += 1\\n\\n    if visited[s]:\\n        print(cnt)\\n        break\\n\\n    visited[s] = True\", \"s = int(input())\\na = [s]\\nfor i in range(1, 1000001):\\n    if a[i-1]%2 == 0:\\n        x = a[i-1]//2\\n        if x in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(x)\\n    else:\\n        y = a[i-1]*3 + 1\\n        if y in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(y)\", \"from sys import stdin\\n\\ns = int(stdin.readline().strip())\\nmem = []\\na = s\\n\\nfor i in range(1000000):\\n  if a in mem:\\n    print(i+1)\\n    return\\n  mem.append(a)\\n  if a % 2 == 0: a = a // 2\\n  else: a = 3 * a + 1\"]",
        "difficulty": "introductory",
        "input": "95\n",
        "output": "107\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc116/tasks/abc116_b"
    },
    {
        "id": 488,
        "task_id": 4311,
        "test_case_id": 12,
        "question": "A sequence a=\\{a_1,a_2,a_3,......\\} is determined as follows:\n - The first term s is given as input.\n - Let f(n) be the following function: f(n) = n/2 if n is even, and f(n) = 3n+1 if n is odd.\n - a_i = s when i = 1, and a_i = f(a_{i-1}) when i > 1.\nFind the minimum integer m that satisfies the following condition:\n - There exists an integer n such that a_m = a_n (m > n).\n\n-----Constraints-----\n - 1 \\leq s \\leq 100\n - All values in input are integers.\n - It is guaranteed that all elements in a and the minimum m that satisfies the condition are at most 1000000.\n\n-----Input-----\nInput is given from Standard Input in the following format:\ns\n\n-----Output-----\nPrint the minimum integer m that satisfies the condition.\n\n-----Sample Input-----\n8\n\n-----Sample Output-----\n5\n\na=\\{8,4,2,1,4,2,1,4,2,1,......\\}. As a_5=a_2, the answer is 5.",
        "solutions": "[\"from collections import defaultdict\\n\\nd = defaultdict(bool)\\n\\nn = int(input())\\nfor i in range(1000000):\\n\\n    if d[n]:\\n        print((i + 1))\\n        return\\n    d[n] = True\\n    if n & 1:\\n        n = n * 3 + 1\\n    else:\\n        n >>= 1\\n\", \"a=int(input())\\nb=[]\\nb.append(a)\\nwhile True:\\n    if a%2==0:\\n        a=a/2\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\\n    elif a%2!=0:\\n        a=3*a+1\\n        if a in b:\\n            print(len(b)+1)\\n            break\\n        else:\\n            b.append(a)\", \"s = int(input())\\na = s\\nc = 0\\nif a == 1 or a == 2:\\n  ans = 4\\nelse:\\n  while a != 1:\\n    if a%2 == 0:\\n      a = int(a/2)\\n      c += 1\\n    else:\\n      a = int(3*a+1)\\n      c += 1\\n  ans = c+2\\nprint(ans)\", \"s = int(input())\\nans = [0]*1000001\\ncnt = 1\\n\\nwhile True:\\n    if ans[s] == 0:\\n        ans[s] += 1\\n\\n        if s%2 == 0:\\n            s = s//2\\n        else:\\n            s = 3*s+1\\n        cnt += 1\\n\\n    if ans[s] != 0:\\n        print(cnt)\\n        return\\n\\n\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n\\nprint(i)\", \"n=int(input())\\nli = []\\nwhile not n in li:\\n  li.append(n)\\n  if n % 2 == 0:\\n    n //= 2\\n  else:\\n    n = n * 3 + 1\\n  \\nprint(len(li)+1)\", \"s = int(input())\\n\\nlst = [s]\\nprev = s\\nfor m in range(2, 1000001):\\n    if prev % 2 == 0:\\n        i = int(prev / 2)\\n    else:\\n        i = 3 * prev + 1\\n    if i in lst:\\n        print(m)\\n        break\\n    lst.append(i)\\n    prev = i\", \"s = int(input())\\na = [s]\\nwhile True:\\n  if a.count(a[-1]) == 2:\\n    print(len(a))\\n    return\\n  if a[-1]%2 == 0:\\n    a.append(a[-1]/2)\\n  else:\\n    a.append(3*a[-1]+1)\", \"n = int(input())\\nc = 0\\nx = []\\nwhile True:\\n    c+=1\\n    if n in x:\\n        print(c)\\n        break\\n    x.append(n)\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\", \"n=int(input())\\na=[n]\\ncnt=1\\nwhile len(set(a))==len(a):\\n    if n%2==0: \\n        n//=2\\n    else:\\n        n=3*n+1\\n    a.append(n)\\n    cnt+=1\\nprint(cnt)\\n\", \"s=int(input())\\na=[0]*10**6\\na[0]=s\\n\\ndef f(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x+1\\nt=0 \\nwhile f(a[t])>0:\\n  p=f(a[t])\\n  if p in a:\\n    print((t+2))\\n    return\\n  a[t+1]=p\\n  t+=1\\n\", \"def func(n: int) -> int:\\n    return n // 2 if n % 2 == 0 else n * 3 + 1\\n\\n\\ndef answer(s: int) -> int:\\n    sequence_a = [s]\\n    while True:\\n        num = func(sequence_a[-1])\\n        if num in sequence_a:\\n            return len(sequence_a) + 1\\n        sequence_a.append(num)\\n\\n\\ndef main():\\n    s = int(input())\\n    print((answer(s)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return list(map(int,input().split()))\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\nnum = []\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\ndef f(n):\\n    if n % 2 == 0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\ns = k()\\nnum.append(s)\\nwhile True:\\n    cnt += 1\\n    s = f(s)\\n    if s in num:\\n        print((cnt+1))\\n        return\\n    else:\\n        num.append(s)\\n        \\n\\n\\n\", \"s = int(input())\\nTMP = [s]\\n\\nif s==1 or s==2:\\n    print(4)\\nelse:\\n    while TMP[-1]!=1:\\n        if TMP[-1] % 2 == 0:\\n            TMP.append(TMP[-1]//2)\\n        elif TMP[-1] % 2 != 0:\\n            TMP.append(3 * TMP[-1] + 1)\\n    print(len(TMP)+1)\", \"s = int(input())\\nl = []\\ndef myfunc(x):\\n  if x%2 == 0:\\n    x = x//2\\n  else:\\n    x = 3*x + 1\\n  return x\\nfor i in range(10**6):\\n  l.append(s)\\n  s = myfunc(s)\\n  if s in l:\\n    print(i+2)\\n    break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    # \\u524d\\u56de\\u306e\\u5024\\u306b\\u3088\\u3063\\u3066\\u8a08\\u7b97\\u3092\\u5909\\u3048\\u308b\\u3002\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    # \\u6570\\u5217\\u306b\\u540c\\u3058\\u5024\\u304c\\u542b\\u307e\\u308c\\u3066\\u3044\\u308b\\u304b\\u3069\\u3046\\u304b\\uff1f\\n    if n in a:\\n\\t  \\t# \\u914d\\u5217\\u304c0\\u304b\\u3089\\u59cb\\u307e\\u308b\\u305f\\u3081\\u3001\\u30ab\\u30a6\\u30f3\\u30c8\\u30a2\\u30c3\\u30d7\\u3002\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s=int(input())\\ncol=[]\\na=s\\ncount=1\\nwhile True:\\n  col.append(a) \\n  if a%2==0:\\n    a=a/2\\n  else:\\n    a=a*3+1\\n  if a in col:\\n    print(count+1)\\n    break\\n  count+=1\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = []\\nans.append(s)\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"def main():\\n    def f(n):\\n        return 3 * n + 1 if n % 2 else n // 2\\n    s = int(input())\\n    a = [s]\\n    for i in range(1, 11**6):\\n        x = f(a[i-1])\\n        if x in a:\\n            return len(a) + 1; return\\n        a.append(x)\\n\\n\\nprint(main())\", \"s=int(input())\\na=[]\\nans=1\\nwhile True:\\n  a.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  ans+=1\\n  if s in a:\\n    print(ans)\\n    break\", \"s = int(input())\\nli = []\\nli.append(s)\\n\\nfor i in range(1,1000000000):\\n    if li[i-1] % 2 == 0:\\n        li.append(li[i-1]//2)\\n    else:\\n        li.append(li[i-1]*3+1)\\n\\n    for j in range(len(li)-1):\\n        if li[j] ==li[i]:\\n            print((i+1))\\n            return\\n\", \"s = int(input())\\na = [s]\\nb = 1\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = 3 * s + 1\\n    if s in a:\\n        print(len(a) + 1)\\n        return\\n    a.append(s)\", \"s = int(input())\\nL = []\\nfor c in range(2 , 10 ** 6 + 1):\\n  L.append(s)\\n  if s % 2 == 0:\\n    s = s // 2\\n  elif s % 2 == 1:\\n    s = s * 3 + 1\\n  if s in L:\\n    break\\nprint(c)\", \"s = int(input())\\n\\nif s == 1 or s == 2:\\n    print(4)\\n    return\\n\\ndef function(n):\\n    if n % 2 == 0:\\n        return int(n/2)\\n    else:\\n        return int(n*3+1)\\ni = 0\\ncount = 0\\na = []\\na.append(s)\\nwhile count < 2:\\n    a.append(function(a[i]))\\n    if a[i] == 4:\\n        count += 1\\n    i += 1\\nprint(i)\", \"n=int(input())\\nl=[n]\\nwhile True:\\n    if n%2==0:\\n        n//=2\\n    else:\\n        n=n*3+1\\n    if n in l:\\n        break\\n    else:\\n        l.append(n)\\nprint((len(l)+1))\\n\", \"s = int(input())\\nlist_a = [None]\\nlist_a.append(s)\\nans = 0\\nfor i in range(1, 10 ** 6 + 1):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] // 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n    if list_a[i] in list_a[:i]:\\n        ans = i\\n        break\\nprint(ans)\", \"s = int(input())\\nS = [str(s)]\\ni = 1\\nwhile True:\\n    if s % 2 == 0:\\n        i += 1\\n        s = s//2\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\n    else:\\n        i += 1\\n        s = int(3 * s + 1)\\n        S.append(str(s))\\n        if S.count(str(s)) == 2:\\n            print(i)\\n            return\\npass\\n\", \"import sys\\nimport copy\\ns = int(input())\\n\\ndef f(n):\\n    if n%2==0:\\n        return int(n/2)\\n    else:\\n        return 3*n+1\\n\\nfor i in range(1000000):\\n    if i == 0:\\n        a=[s]\\n    else:\\n        a.append(f(a[i-1]))\\n    \\n    if a.count(a[i]) == 2:\\n        print((i+1))\\n        return\\n\", \"# import math\\n# import statistics\\na=int(input())\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\n# e1,e2 = map(int,input().split())\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\n\\nda=True\\nap=[a]\\ncount=1\\nwhile da:\\n    if a%2==0:\\n        a=a//2\\n        ap.append(a)\\n    elif a%2==1:\\n        a=3*a+1\\n        ap.append(a)\\n    count+=1\\n    if len(set(ap))<len(ap):\\n        print(count)\\n        da=False\\n\", \"a = int(input())\\n \\ndic = {}\\ndic[a] = 1\\n\\ni = 1\\nwhile True:\\n  i += 1\\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n    \\n  if a in dic: break\\n  dic[a] = 1\\n  \\nprint(i)\", \"s = int(input())\\n\\nif s < 3:\\n  print(4)\\n  return\\n\\ncnt = 1\\nval = s\\nwhile True:\\n  if cnt > 1 and val == 1:\\n    break\\n  \\n  if val % 2 == 0:\\n    val = val//2\\n  else:\\n    val = val*3+1\\n    \\n  cnt += 1\\n             \\nprint(cnt+1)\", \"s=int(input())\\ndef calc(n):\\n  if n % 2 == 0:\\n    return n / 2\\n  else:\\n    return 3*n +1\\nans = [s]\\nfor i in range(1000001):\\n  if calc(ans[i]) in ans:\\n    print(len(ans) +1)\\n    return\\n  else:\\n    ans.append(int(calc(ans[i])))\", \"n = int(input())\\na = [n]\\nindex = 0\\n\\nfor i in range(1, 1000000):\\n    if a[i - 1] % 2 == 0:\\n        m = a[i - 1] / 2\\n    else:\\n        m = 3 * a[i - 1] + 1\\n    if m in a:\\n        index = i + 1\\n        break\\n    a.append(m)\\nprint(index)\", \"s = int(input())\\n\\nmax_ = 1000000\\nchk = [0]*max_\\na = s\\ni = 1\\nwhile i <= max_:\\n    if chk[a] == 0:\\n        chk[a] += 1\\n    else:\\n        print(i)\\n        return\\n    if a%2 == 0:\\n        a = int(a/2)\\n    else:\\n        a = 3*a + 1\\n    i += 1\\n\", \"s = int(input())\\n\\nA = [s]\\nidx = 1\\nwhile True:\\n    n = A[idx-1]\\n    if n % 2:\\n        f = 3*n + 1\\n    else:\\n        f = n / 2\\n    idx += 1\\n    A.append(f)\\n    if len(A) != len(set(A)):\\n        break\\nprint(idx)\", \"s = int(input())\\n\\ncount = 1\\nn = s\\ncheck = 0\\nlist = [s]\\n\\n\\nfor i in range(30000):\\n        if n % 2 == 0:\\n            n = n / 2\\n            list.append(n)\\n        else:\\n            n = n*3 + 1\\n            list.append(n)\\n        \\n        count = count + 1\\n        list.sort()\\n        for j in range(len(list) - 1):\\n            if list[j] ==list[j+1]:\\n                check = 1\\n                break\\n            \\n        if check == 1:\\n            break\\n        \\n\\n\\nprint(count)\\n\\n\", \"S = int(input())\\ns, c = S, 1\\nresult = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    elif s % 2 == 1:\\n        s = s * 3 + 1\\n\\n    result.append(s)\\n    c += 1\\n    if len(set(result)) < len(result):\\n        break\\n\\nprint(c)\", \"#-*-coding:utf-8-*-\\nimport sys\\ninput=sys.stdin.readline\\n\\ndef func(n):\\n    ans =0\\n    if n%2==0:\\n        ans=n//2\\n    else:\\n        ans=3*n+1\\n    return ans\\n\\ndef main():\\n    s = int(input())\\n    dp=[s]\\n    counter=0\\n\\n    if s==1 or s==2:\\n        print(4)\\n        return\\n\\n    while counter < 1000001:\\n        n=dp.pop()\\n        tmp = func(n)\\n        dp.append(n)\\n        dp.append(tmp)\\n        counter+=1\\n        if tmp==4:\\n            print(dp.index(tmp)+4)\\n            break\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\nS = int(input())\\n\\na = [S]\\ncnt = 1\\nwhile True:\\n    if S%2 == 0:\\n        S /= 2\\n    else:\\n        S = 3*S + 1\\n    cnt += 1\\n    if S in a:\\n        break\\n    else:\\n        a.append(S)\\n\\nprint(cnt)\", \"s = int(input())\\n\\nnum_lists = [s]\\ncnt = 1\\nwhile True:\\n    if (num_lists[-1])%2 == 0:\\n        tmp = num_lists[-1]/2\\n    else:\\n        tmp =(num_lists[-1]*3)+1\\n    cnt += 1\\n    if tmp in num_lists:\\n        ans = cnt\\n        break\\n    else:\\n        num_lists.append(tmp)\\n\\nprint(ans)\", \"import sys\\ns=int(input())\\n\\ncnt=0\\n\\nif s==1 or s==2:\\n  print('4')\\n  return\\n\\nwhile s!=4:\\n  if s%2!=0:\\n    s=3*s+1\\n    cnt+=1\\n  elif s%2==0:\\n    s=s//2\\n    cnt+=1\\n\\nif s==4:\\n  print(cnt+4)\", \"s=int(input())\\na=[]\\nna=[]\\na.append(s)\\nfor i in range(1,10**6):\\n    if a[i-1]%2==0:\\n        a.append(a[i-1]/2)\\n    else:\\n        a.append(a[i-1]*3+1)\\n    na=set(a)\\n    if len(na)!=i+1:\\n        print(i+1)\\n        return\", \"s = int(input())\\n\\na = []\\na.append(s)\\nfor i in range(1000000):\\n  if a[i]%2 == 0:\\n    a.append(a[i] // 2)\\n  else:\\n    a.append(3*a[i] + 1)\\n  for j in range(i-1):\\n    if a[i+1] == a[j]:\\n      print(len(a))\\n      return\", \"s = int(input())\\ndef p(n):\\n    if n%2 ==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\nl = [s]\\ncnt = 1\\nwhile True:\\n    cnt +=1\\n    s = p(s)\\n    if s in l:\\n        print(cnt)\\n        return\\n    else:\\n        l.append(s)\", \"s = int (input ())\\nl = []\\na = 0\\nl.append (s)\\nfor i in range (1000000):\\n  a += 1\\n  if s%2 == 0:\\n    s = round(s/2)\\n  else:\\n    s = s*3+1\\n  if l.count (s) != 0:\\n    print (a+1)\\n    break\\n  else:\\n    l.append (s)\", \"s = int(input())\\n\\n\\nclass Solution:\\n    def __init__(self,s):\\n        self.s = s\\n    \\n    def function_a(self):\\n        if self.s % 2 == 0:\\n            return self.s / 2\\n        else:\\n            return 3 * self.s + 1\\n    \\n    def answer(self):\\n        list_a = [self.s]\\n        self.s = self.function_a()\\n        ans = 2\\n        while self.s not in list_a:\\n            list_a.append(self.s)\\n            self.s = self.function_a()\\n            ans += 1\\n        print(ans)\\n\\n\\nconditon = Solution(s)\\nconditon.answer()\", \"S = int(input())\\nl = []\\n\\nwhile S not in l:\\n    l.append(S)\\n    if S%2 == 0:\\n        S //=2\\n    else:\\n        S = 3*S + 1\\nprint((len(l)+1))\\n\", \"s = int(input())\\nS = {s}\\ni = 1\\nwhile True:\\n  i += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    break\\n  S.add(s)\\nprint(i)\", \"s = int(input())\\n\\nbox = set()\\nbox.add(s)\\n\\nfor i in range(2, 1000000):\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = s * 3 + 1\\n  if s in box:\\n    print(i)\\n    return\\n  else:\\n    box.add(s)\\n\", \"s = int(input())\\n\\ndef collatz(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\ncoll = s\\ni = 1\\nwhile 1:\\n    if coll == 1 or coll == 2 or coll == 4:\\n        print(i  + 3)\\n        break\\n    coll = collatz(coll)\\n    i += 1\", \"a = int(input())\\n \\nx = set()\\nx.add(a)\\n\\ni = 1\\nwhile True:\\n  i += 1\\n    \\n  if a % 2 == 0: a //= 2\\n  else: a = 3*a + 1\\n  \\n  if a in x: break\\n  x.add(a)\\n  \\nprint(i)\", \"S=int(input())\\n\\na=[S]\\ntemp=S\\n\\ni=0\\n\\nwhile i<200:\\n\\ti+=1\\n\\tif temp%2==0:\\n\\t\\ta.append(temp//2)\\n\\telse:\\n\\t\\ta.append(temp*3+1)\\n\\ttemp=a[-1]\\n\\nfor n in range(200):\\n\\tfor m in range(n+1,200):\\n\\t\\tif a[n]==a[m]:\\n\\t\\t\\tprint(m+1)\\n\\t\\t\\treturn\", \"s=int(input())\\n\\na_list=[s]\\n\\n\\na=s\\nwhile True:\\n    \\n    if a%2==0:\\n        a=a//2\\n    else:\\n        a=3*a+1\\n    \\n    if a in a_list:\\n        break\\n    else:\\n        a_list.append(a)\\n\\nans=len(a_list)+1\\n\\nprint(ans)\", \"s = int(input())\\na = [s]\\n\\ndef func(n):\\n  if n % 2 == 0:\\n    a.append(n//2)\\n  elif n % 2 == 1:\\n    a.append(3*n + 1)\\n  \\ni = 1\\nwhile True:\\n  func(a[-1])\\n  i += 1\\n  if a.count(a[-1]) == 2:\\n    break\\n  else:\\n    pass\\n\\n\\nprint(i)\", \"def f(n):\\n    if n % 2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\n\\ns = int(input())\\ncnt = 0\\na = [s]\\nwhile True:\\n\\n    temp = f(a[cnt])\\n\\n    if temp in a:\\n        print((len(a)+1))\\n        return\\n    a.append(temp)\\n    cnt += 1\\n\", \"s = int(input())\\n\\ndef f(x):\\n    if x%2 == 0:\\n        return int(x/2)\\n    else:\\n        return 3*x + 1\\ni = 1\\nm_max = 1000000\\nb_s = s\\nb = set([s])\\nwhile i <= m_max:\\n    i += 1\\n    a = f(b_s)\\n    if a in b:\\n        break\\n    b.add(a)\\n    b_s = a\\nprint(i)\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"s = int(input())\\na = [s]\\nans = 0\\nfor i in range(1000000):\\n    if a[i] % 2 == 0:\\n        if a[i]/2 in a:\\n            ans = i + 2\\n            break\\n        a.append(a[i]/2)\\n    else:\\n        if 3*a[i] + 1 in a:\\n            ans = i + 2\\n            break\\n        a.append(3*a[i] + 1)\\nprint(ans)\", \"n = int(input())\\nc = 1\\nx = []\\nx.append(n)\\nwhile True:\\n    if n%2 == 0:\\n        n = n//2\\n    else:\\n        n = 3*n+1\\n    c+=1\\n    if n in x:\\n        break\\n    x.append(n)\\nprint(c)\", \"import sys\\ninput = sys.stdin.readline\\n\\n\\ndef main():\\n    S = int(input())\\n\\n    x = set()\\n    x.add(S)\\n\\n    i = 1\\n    prev = S\\n    while True:\\n        i += 1\\n        if prev % 2 == 0:\\n            prev = prev // 2\\n        else:\\n            prev = prev * 3 + 1\\n\\n        if prev in x:\\n            print(i)\\n            return\\n\\n        x.add(prev)\\n\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n\\n__starting_point()\", \"s = int(input())\\narr = []\\nans = 0\\ndef calc(n, cnt):\\n    arr.append(n)\\n\\n    if cnt >= 1000000:\\n        return n\\n\\n    if n % 2 == 0:\\n        n = int(n / 2)\\n    else:\\n        n = int(3 * n + 1)\\n\\n    if n in arr:\\n        return cnt\\n\\n    cnt += 1\\n    calc(n, cnt)\\ncalc(s, 0)\\nprint((len(arr) + 1))\\n\", \"def func(x):\\n  if x%2==0:\\n    return x//2\\n  else:\\n    return 3*x + 1\\nA = [True for i in range(1000001)]\\nN = int(input())\\ncount = 1\\nwhile A[N]:\\n  A[N] = False\\n  N = func(N)\\n  count += 1\\nprint(count)\", \"a = [int(input())]\\n\\ni = 0\\nwhile True:\\n    if a[i]%2 == 0:\\n        a.append(int(a[i]/2))\\n    else:\\n        a.append(int((3*a[i])+1))\\n    if a.count(a[i]) == 2:\\n        break\\n    i += 1\\n\\nprint(i+1)\", \"s = int(input())\\nlist_a = [s]\\n\\nif s % 2 == 0:\\n    s = s / 2\\nelse:\\n    s = 3 * s + 1\\n    \\ncurrent = 2\\nwhile s not in list_a:\\n    list_a.append(s)\\n    if s % 2 == 0:\\n        s = s / 2\\n    else:\\n        s = 3 * s + 1\\n    current += 1\\n\\nprint(current)\\n\", \"s = int(input())\\n\\na = [0,s]\\nfor n in range(2,10**6+1):\\n  if a[n-1] % 2 == 0:\\n    an = a[n-1] // 2\\n  else:\\n    an = a[n-1] * 3 + 1\\n  \\n  if an in a:\\n    m = n\\n    break\\n  \\n  a.append(an)\\n  \\nprint(m)\", \"s=int(input())\\n\\nans=1\\ns_st=set()\\nwhile s not in s_st:\\n  s_st.add(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=3*s+1\\n  ans+=1\\n\\nprint(ans)\", \"import sys\\ns = int(input())\\nf = [0 for _ in range(1000005)]\\nf[s] = 1\\nn = s\\nfor i in range(1000005):\\n  if(n%2==0):\\n    n = int(n/2)\\n  else:\\n    n = int(3*n + 1)\\n  if(f[n] == 1):\\n    print(i+2)\\n    return\\n  else:\\n    f[n] = 1\", \"s = int(input())\\n\\nsec = [s]\\ncount = 1\\nwhile(s):\\n  if sec[-1]%2 == 0:\\n    sec.append(sec[-1]/2)\\n  else:\\n    sec.append(3*sec[-1]+1)\\n  count+=1\\n    \\n  if sec[-1] in sec[:-1]:\\n    print(count)\\n    break\", \"s = int(input())\\nline = [0 for i in range(1000001)]\\nans = 1\\nline[s] += 1\\nwhile True:\\n  ans += 1\\n  if s % 2 == 0:\\n    s = int(s/2)\\n  else:\\n    s = 3*s + 1\\n  line[s] += 1\\n  if line[s] > 1:\\n    break\\nprint(ans)\", \"a = int(input())\\nl = [a]\\nfor i in range(1000000):\\n  if a % 2 == 0:\\n    a = a//2\\n  else:\\n    a = a*3 + 1\\n  if l.count(a)==2:\\n    print((1+max([i for i, x in enumerate(l) if x == a])))\\n    break\\n  else:\\n    l.append(a)\\n\", \"s = int(input())\\na = [s]\\nwhile True:\\n    if s % 2 == 0:\\n        s = s // 2\\n    else:\\n        s = s * 3 + 1\\n    a.append(s)\\n    if a.count(s) == 2:\\n        print(len(a))\\n        break\", \"s = int(input())\\na = [s]\\ni = 0\\nwhile True:\\n    i = i+1\\n    if a[i-1] % 2 == 0:\\n        n = a[i-1]//2\\n    else:\\n        n = 3*a[i-1]+1\\n    if n in a:\\n        print((i+1))\\n        break\\n    a.append(n)\\n\", \"s = int(input())\\na = [s]\\ni = 1\\nwhile True:\\n  if s % 2 == 0:\\n    s = s // 2\\n  else:\\n    s = 3 * s + 1\\n  if s in a:\\n    print(len(a) + 1)\\n    break\\n  a.append(s)\", \"s=int(input())\\ncnt = 1\\nS = [s]\\nwhile(1):\\n  cnt += 1\\n  if s % 2 == 0:\\n    s //= 2\\n  else:\\n    s = 3*s + 1\\n  if s in S:\\n    print(cnt)\\n    break\\n  S.append(s)\\n\", \"def readinput():\\n    s=int(input())\\n    return s\\n\\ndef main(s):\\n    hist=[0]*1000001\\n    i=1\\n    n=s\\n    hist[n]+=1\\n    while hist[n]<=1:\\n        if n%2==0:\\n            n=n//2\\n        else:\\n            n=3*n+1\\n        i+=1\\n        hist[n]+=1\\n    return i\\n\\ndef __starting_point():\\n    s=readinput()\\n    ans=main(s)\\n    print(ans)\\n\\n__starting_point()\", \"s = int(input())\\n\\nmp = [False]*(10**6+1)\\ndef even_f(n):\\n    return n//2\\n\\ndef odd_f(n):\\n    return 3*n+1\\n\\nmp[s]=True\\nnow = s\\nfor i in range(1,10**6+1):\\n    if(now%2==0):\\n        now = even_f(now)\\n    else:\\n        now = odd_f(now)\\n\\n    if(mp[now]):\\n        savei=i\\n        break\\n    mp[now]=True\\n\\nprint((savei+1))\\n        \\n\", \"s = int(input())\\nans = [s]\\ni = 1\\nif s == 1 or s == 2:\\n    ans = 4\\nelse:\\n    while ans[i-1] != 4:\\n        if ans[i-1] % 2 ==0:\\n            ans.append(ans[i-1]//2)\\n        else:\\n            ans.append(ans[i-1]*3 + 1 )\\n        i += 1\\n    ans = i + 3\\nprint(ans)\", \"import sys\\n\\n\\ndef input(): return sys.stdin.readline().strip()\\ndef I(): return int(input())\\ndef LI(): return list(map(int, input().split()))\\ndef IR(n): return [I() for i in range(n)]\\ndef LIR(n): return [LI() for i in range(n)]\\ndef SR(n): return [S() for i in range(n)]\\ndef S(): return input()\\ndef LS(): return input().split()\\n\\n\\nINF = float('inf')\\n\\ns = I()\\nvs = set()\\nvs.add(s)\\nnow = 0 + s\\ni = 1\\nwhile True:\\n    i += 1\\n    now = now / 2 if now % 2 == 0 else 3*now + 1\\n    if now in vs:\\n        break\\n    else:\\n        vs.add(now)\\n\\nprint(i)\\n\", \"s = int(input())\\nlist_a = [s]\\n\\nfor i in range(1000000):\\n    if list_a[i] % 2 == 0:\\n        list_a.append(list_a[i] / 2)\\n    else:\\n        list_a.append(3 * list_a[i] + 1)\\n        \\nfor index, ai in enumerate(list_a, 1):\\n    if ai in list_a[:index - 1]:\\n        print(index)\\n        break\\n\", \"\\nurl = \\\"https://atcoder.jp//contests/abc116/tasks/abc116_b\\\"\\n\\ndef calc(n):\\n    if n % 2 == 0:\\n        return n // 2\\n    else:\\n        return 3 * n + 1\\n\\n\\ndef main():\\n    s = int(input())\\n    ans = [s]\\n    while True:\\n        tmp = calc(ans[-1])\\n        ans.append(tmp)\\n        if ans.index(tmp) != len(ans)-1:\\n            print((len(ans)))\\n            break\\n\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"s=int(input())\\nL=[]\\nn=1\\nwhile not s in L:\\n  L.append(s)\\n  if s%2==0:\\n    s//=2\\n  else:\\n    s=s*3+1\\n  n+=1\\nprint(n)\", \"n = int(input())\\ndata =[0]* 1000000\\ndata[0] = n\\ni = 2\\nif n % 2 == 0:\\n    data[1] = n //2\\nelse:\\n    data[1] = 3 * n + 1\\nwhile data[i - 1] not in data[0: i -2]:\\n    if data[i-1] % 2 == 0:\\n            data[i] = data[i - 1]//2\\n    else:\\n            data[i] = 3 * data[i - 1] + 1\\n    i += 1\\nprint(i)\", \"s=int(input())\\nG =[]\\nwhile (s not in G):\\n  G.append(s)\\n  if s % 2==0:\\n    s = int(s//2)\\n  else:\\n    s = int(3*s+1)\\nprint(len(G)+1)\", \"s = int(input())\\nl = [s]\\na = set(l)\\nfor i in range(10**6):\\n  if l[-1] % 2 == 0:\\n    n = l[-1] // 2\\n  else:\\n    n = 3*l[-1] + 1\\n  if n not in a:\\n    a.add(n)\\n    l.append(n)\\n  else:\\n    print(len(l)+1)\\n    break\", \"a=int(input())\\ns=set()\\ni=1\\nwhile True:\\n    if a in s:\\n        print(i)\\n        break\\n    s|={a}\\n    if a%2==0:\\n        a>>=1\\n    else:\\n        a=3*a+1\\n    i+=1\\n\", \"s = int(input())\\n\\ndef f(n):\\n    if n%2 == 0:\\n        return n/2\\n    else:\\n        return 3*n+1\\n\\nx = set()\\nans = 0\\nwhile True:\\n    ans += 1\\n    if s in x:\\n        print(ans)\\n        break\\n    x.add(s)\\n    s = f(s)\", \"a=int(input())\\ni=1\\nli=[a]\\nimport copy\\nwhile True:\\n    if li[i-1]%2==0:\\n        b=li[i-1]//2\\n    else:\\n        b=3*li[i-1]+1\\n    if b in li:\\n        print((i+1))\\n        return\\n    li.append(b)\\n    i+=1\\n        \\n\", \"s=int(input())\\ndef f(n):\\n    if n%2==0:\\n        return n//2\\n    else:\\n        return 3*n+1\\n\\na=[0]*(10**8)\\na[s]=1\\ncnt=1\\nfor _ in range(10**7):\\n    s=f(s)\\n    cnt+=1\\n    if a[s]:\\n        print(cnt)\\n        break\\n    a[s]=1\\n\", \"s = int(input())\\na = s\\nans = 0\\n\\nif (a == 1)or(a == 2)or(a == 4):\\n    ans = 4\\n\\nelse:\\n\\n    for i in range(10**6 + 1):\\n        if a%2 == 0:\\n            a = int(a/2)\\n        else:\\n            a = 3*a + 1\\n\\n        if a == 4:\\n            ans = i + 5\\n            break\\n\\nprint(ans)\\n\", \"n = int(input())\\n\\ndp = [True]*(n*1000000)\\ndp[n] = False\\nres =1\\nwhile n <1000001:\\n    res +=1\\n    if n % 2 ==1:\\n        n = n*3+1\\n    else:\\n        n = n//2\\n    \\n    if dp[n]:\\n        dp[n] = False\\n    else:\\n        print(res)\\n        return\", \"s = int(input())\\n\\na = [0]*(10**6+1)\\nc = [0]*(10**6+1)\\na[1] = s\\nc[s] = 1\\nfor i in range(2, 10**6+1):\\n    v = a[i-1]//2 if a[i-1] % 2 == 0 else 3*a[i-1]+1\\n    a[i] = v\\n    if c[v] == 1:\\n        print(i)\\n        return\\n    c[v] = 1\", \"S = int(input())\\narray = []\\narray.append(S)\\n\\nwhile True:\\n  count = 0\\n  if S % 2 == 0:\\n    S = S / 2\\n    array.append(S)\\n  else:\\n    S = 3 * S + 1\\n    array.append(S)\\n  for i in range(len(array)):\\n    if S == array[i]:\\n      count += 1\\n      if count == 2:\\n        print((i + 1))\\n        return\\n\", \"a=int(input())\\nb=0\\nif a==2:\\n  print(4)\\nelif a==1:\\n  print(4)\\nelse:\\n  while a!=4:\\n    if a%2==0:\\n      a=a//2\\n      b=b+1\\n    else:\\n      a=3*a+1\\n      b=b+1\\n  print(b+4)\", \"s = int(input())\\n\\nans_list = [s]\\ncurr_value = s\\nindex = 1\\nwhile(True):\\n    if curr_value%2==0:\\n        curr_value = int(curr_value/2)\\n    else:\\n        curr_value = 3*curr_value + 1\\n    index += 1\\n    if curr_value in ans_list:\\n        break\\n    else:\\n        ans_list.append(curr_value)\\nprint(index)\", \"a = int(input())\\ns = set([a])\\n\\nfor i in range(10**6):\\n\\tif a % 2 == 0:\\n\\t\\t# print(\\\"Process for even.\\\")\\n\\t\\ta = a//2\\n\\telse:\\n\\t\\t# print(\\\"Process for odd.\\\")\\n\\t\\ta = 3*a + 1\\n\\tif a not in s:\\n\\t\\ts.add(a)\\n\\telse:\\n\\t\\tprint((i+2))\\n\\t\\tbreak\\n\", \"def f(n):\\n\\tif n % 2 == 0:\\n\\t\\treturn n / 2\\n\\telse:\\n\\t\\treturn 3 * n + 1\\n\\t\\t\\ns = int(input())\\n\\na = []\\nfor i in range(1000000):\\n\\tif i == 0:\\n\\t\\ta.append(s)\\n\\telse:\\n\\t\\tif f(a[-1]) in a:\\n\\t\\t\\tprint(i+1)\\n\\t\\t\\tbreak\\n\\t\\telse:\\n\\t\\t\\ta.append(f(a[-1]))\", \"s = int(input())\\nvisited = [False]*(10**6+1)\\n\\nvisited[s] = True\\ncnt = 1\\n\\nwhile True:\\n    if s & 1:\\n        s = s * 3 + 1\\n    else:\\n        s //= 2\\n    \\n    cnt += 1\\n\\n    if visited[s]:\\n        print(cnt)\\n        break\\n\\n    visited[s] = True\", \"s = int(input())\\na = [s]\\nfor i in range(1, 1000001):\\n    if a[i-1]%2 == 0:\\n        x = a[i-1]//2\\n        if x in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(x)\\n    else:\\n        y = a[i-1]*3 + 1\\n        if y in a:\\n            print(i+1)\\n            break\\n        else:\\n            a.append(y)\", \"from sys import stdin\\n\\ns = int(stdin.readline().strip())\\nmem = []\\na = s\\n\\nfor i in range(1000000):\\n  if a in mem:\\n    print(i+1)\\n    return\\n  mem.append(a)\\n  if a % 2 == 0: a = a // 2\\n  else: a = 3 * a + 1\"]",
        "difficulty": "introductory",
        "input": "27\n",
        "output": "113\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc116/tasks/abc116_b"
    },
    {
        "id": 489,
        "task_id": 4367,
        "test_case_id": 1,
        "question": "Takahashi is a member of a programming competition site, ButCoder.\nEach member of ButCoder is assigned two values: Inner Rating and Displayed Rating.\nThe Displayed Rating of a member is equal to their Inner Rating if the member has participated in 10 or more contests. Otherwise, the Displayed Rating will be their Inner Rating minus 100 \\times (10 - K) when the member has participated in K contests.\nTakahashi has participated in N contests, and his Displayed Rating is R. Find his Inner Rating.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 100\n - 0 \\leq R \\leq 4111\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN R\n\n-----Output-----\nPrint his Inner Rating.\n\n-----Sample Input-----\n2 2919\n\n-----Sample Output-----\n3719\n\nTakahashi has participated in 2 contests, which is less than 10, so his Displayed Rating is his Inner Rating minus 100 \\times (10 - 2) = 800.\nThus, Takahashi's Inner Rating is 2919 + 800 = 3719.",
        "solutions": "[\"n, r = map(int, input().split())\\n\\nprint(r+100*(10-min(10, n)))\", \"n,x = list(map(int,input().split()))\\nif n >= 10:\\n  print(x)\\nelse:\\n  y = x + (10-n) * 100\\n  print(y)\\n\\n\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"n, r = map(int, input().split())\\nif n < 10:\\n  print((r + 100*(10-n)))\\nelse:\\n  print(r)\", \"n, r = list(map(int, input().split()))\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"N,R = map(int,input().split())\\nprint(R) if N>=10 else print(R+(100*(10-N)))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\nelse:\\n  print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    ans = r + (100 * (10 - n))\\n    print(ans)\\nelse: \\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n,r = map(int,input().split())\\n\\nif n < 10:\\n  print(100 * (10 - n) + r)\\nelse :\\n  print(r)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  ans=R\\nelse:\\n  ans=R+100*(10-N)\\nprint(ans)\", \"n,r=map(int,input().split())\\n \\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"N, R = map(int, input().split())\\nif N >= 10:\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = list(map(int, input().split()))\\nprint((R+100*(10-N) if N <10 else R))\\n\", \"n, r =map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+1000-100*n)\", \"import os, sys, re, math\\n\\n(N, R) = [int(n) for n in input().split()]\\n\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"N,R = map(int,input().split())\\nprint(R+100*max(0,10-N))\", \"n,r=map(int,input().split())\\nif n<10:\\n  ans=r+(100*(10-n))\\nelse:\\n  ans=r\\nprint(ans)\", \"N,R=map(int,input().split())\\nans=0;\\nif N>=10:\\n  ans+=R\\nelse:\\n  ans+=R+100*(10-N)\\nprint(ans)\", \"N, R = map(int, input().split())\\nans = R + 100*max(0, (10-N))\\nprint(ans)\", \"N , R = [int(x) for x in input().split()]\\nif N >= 10 :\\n  print(R)\\nelse:\\n  print(100*(10-N) + R)\", \"n,r = map(int,input().split())\\nprint(r+100*(10-n) if n<10 else r)\", \"N,R=map(int,input().split())\\nif N>9:\\n  print(R)\\nelse:\\n  print(R+(10-N)*100)\", \"m = input(\\\"\\\")\\nlist = m.split(\\\" \\\")\\nif eval(list[0])<10:\\n    print(eval(list[1])+100*(10-eval(list[0])))\\nif eval(list[0])>=10:\\n    print(eval(list[1]))\", \"n,r=list(map(int,input().split()))\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\\n\\n\", \"n,r = list(map(int,input().split()))\\nprint((r if n>=10 else r+(10-n)*100))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n  print(r)\\nelse:\\n  print(r + (100 * (10 - n)))\", \"n,r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"n, r = list(map(int, input().split()))\\nif n <= 10:\\n    print((r + (100 * (10 - n))))\\nelse:\\n    print(r)\\n\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n,r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100*(10-n)))\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n  ans = r\\nelse:\\n  ans = r + 100*(10-n)\\nprint(ans)\", \"n,r = list(map(int,input().split()))\\nif(n <=10):\\n  print((r-100*(n-10)))\\nelse:\\n  print(r)\\n\", \"n,k = map(int,input().split())\\nif n >= 10:\\n  print(k)\\nelse:\\n  print(k + (10 - n)* 100 )\", \"N, R = list(map(int, input().split()))\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"n,r=map(int,input().split())\\nprint([r+100*(10-n),r][n>=10])\", \"n,r = map(int,input().split())\\nif n >= 10 :\\n    print(r)\\nelse :\\n    k = n\\n    x = r+100*(10-k)\\n    print(x)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n    print(R)\\n    return\\nelse:\\n    print(R + 100 * (10 - N))\\n    return\", \"n,p = map(int,input().split())\\nif n < 10:\\n  rate = p + 100*(10-n)\\nelse:\\n  rate = p\\nprint(rate)\", \"n, r = map(int, input().split())\\nif n < 10:\\n    print(r + 100 * (10 - n))\\nelse:\\n    print(r)\", \"N,R = list(map(int,input().split()))\\n\\nif N<10:\\n  print((100*(10-N)+R))\\nelse:\\n  print (R)\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n    print(r)\\n\\nelse:\\n    a = 100 * (10 - n)\\n    b = a + r\\n    print(b)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  print(R + 100*(10-N))\", \"n,r= map(int, input().split())\\n\\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"n,r=map(int,input().split())\\n\\nprint(r) if n>=10 else print(r+100*(10-n))\\n\", \"N, R = list(map(int,input().split()))\\nif N >= 10:\\n  print(R)\\nelse:\\n  print((R + 100*(10-N)))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  R = R+100*(10-N)\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N = list(map(int,input().split()))\\nif(N[0] < 10):\\n  print(N[1]+(100*(10-N[0])))\\nelse:\\n  print(N[1])\", \"n,r = map(int,input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n, r = map(int, input().split())\\nprint(r+100*(10-n) if n < 10 else r)\", \"n,r=map(int,input().split())\\nprint(r-100*min(0,n-10))\", \"N,R=map(int, input().split())\\n\\nif N>=10:\\n    print(str(R))\\nelse:\\n    x=R+(100*(10-N))\\n    print(str(x))\", \"n, r = map(int, input().split(\\\" \\\"))\\nif  n < 10:\\n  print(r + 100 * (10 - n))\\nelse:\\n  print(r)\", \"n, r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"\\ndef main():\\n\\tn, r = list(map(int, input().split()))\\n\\tif n>= 10:\\n\\t\\treturn r\\n\\telse:\\n\\t\\treturn r + (100 * (10 -n))\\n\\t\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"n,r=map(int, input().split())\\nprint(r+100*(10-n)*(n<10))\", \"N, R = map(int,input().split())\\n\\nif N <= 9:\\n    ans = R + (1000-100*N)\\nelse:\\n    ans = R\\nprint(ans)\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+ 100 * (10 - n)))\\n\", \"n, r = map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"def resolve():\\n\\tn,r = map(int,input().split())\\n\\tprint(r if n>=10 else r+100*(10-n))\\nresolve()\", \"N,R = map(int,input().split())\\nif N <= 10:\\n  print(100 * (10 - N) + R)\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n    print(R)\\nelse:\\n    print(R+100*(10-N))\", \"N, R = map(int, input().split())\\nprint(R+max(1000-100*N, 0))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    r = r + 100*(10-n)\\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N < 10:\\n    print((100 * (10 - N)) + R)\\nelse:\\n    print(R)\", \"n,r=list(map(int,input().split()))\\nif n<10:\\n  r+=(10-n)*100\\nprint(r)\\n\", \"# coding: utf-8\\n# Your code here!\\n\\n[n,r] = input().split()\\nn = int(n)\\nr = int(r)\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    ans = r + 100*(10-n)\\n    print(ans)\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    r += 100*(10-n)\\n\\nprint(r)\", \"N,R=map(int,input().split())\\nprint(R+max(0,(100*(10-N))))\", \"N,R = map(int, input().split())\\nif N < 10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n    print(R+100*(10-N))\\nelse:\\n    print(R)\", \"#!/usr/bin/env python3\\nn,r=list(map(int,input().split()))\\nans=r\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"N,R = map(int,input().split())\\nprint((R,R +100*(10-N))[N<=10])\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\n  \\nelse:\\n  print((r + 100*(10 - n)))\\n\\n\", \"n,r=map(int,input().split())\\nif n>=10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    r = 100*(10-N)\\n    print(r+R)\", \"def main():\\n    N, R = map(int, input().split())\\n\\n    if N >= 10:\\n        print(R)\\n    else:\\n        print(R+(100*(10-N)))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"a, b = map(int, input().split())\\nif a >= 10:\\n    print(b)\\nelse:\\n    print(b+100*(10-a))\", \"N,R=list(map(int,input().split()))\\nif N>=10:\\n    print(R)\\nelse:\\n    K=10-N\\n    I=100*K\\n    print((R+I))\\n\", \"N, R = map(int, input().split())\\n\\nif N >= 10 :\\n    print(R)\\nelse :\\n    print(R + 100 * (10 - N))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n >=10:\\n  print(r)\\nelse:\\n  print(r + 100 * (10 - n))\", \"N,R = map(int,input().split())\\nif(N >= 10):\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = map(int,input().split())\\n\\nif N<10:\\n  print(100*(10-N)+R)\\nelse:\\n  print (R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+(100*(10-N)))\", \"N, R = list(map(int, input().split()))\\nprint(R if N >= 10 else R + 100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+100*(10-N))\\nelse:\\n  print(R)\", \"n, r = list(map(int, input().split()))\\nif n < 10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R=map(int,input().split())\\nif N >= 10:\\n    print (R)\\nelse:\\n    print (100*(10-N)+R)\", \"n, r = list(map(int, input().split()))\\nprint((r if n >= 10 else r + 1000 - (100 * n)))\\n\", \"[N, R] = [int(i) for i in input().split()]\\nprint(R + 100*max(10-N, 0))\", \"n,r=map(int,input().split())\\nif n<10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\"]",
        "difficulty": "introductory",
        "input": "2 2919\n",
        "output": "3719\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_a"
    },
    {
        "id": 490,
        "task_id": 4367,
        "test_case_id": 2,
        "question": "Takahashi is a member of a programming competition site, ButCoder.\nEach member of ButCoder is assigned two values: Inner Rating and Displayed Rating.\nThe Displayed Rating of a member is equal to their Inner Rating if the member has participated in 10 or more contests. Otherwise, the Displayed Rating will be their Inner Rating minus 100 \\times (10 - K) when the member has participated in K contests.\nTakahashi has participated in N contests, and his Displayed Rating is R. Find his Inner Rating.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 100\n - 0 \\leq R \\leq 4111\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN R\n\n-----Output-----\nPrint his Inner Rating.\n\n-----Sample Input-----\n2 2919\n\n-----Sample Output-----\n3719\n\nTakahashi has participated in 2 contests, which is less than 10, so his Displayed Rating is his Inner Rating minus 100 \\times (10 - 2) = 800.\nThus, Takahashi's Inner Rating is 2919 + 800 = 3719.",
        "solutions": "[\"n, r = map(int, input().split())\\n\\nprint(r+100*(10-min(10, n)))\", \"n,x = list(map(int,input().split()))\\nif n >= 10:\\n  print(x)\\nelse:\\n  y = x + (10-n) * 100\\n  print(y)\\n\\n\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"n, r = map(int, input().split())\\nif n < 10:\\n  print((r + 100*(10-n)))\\nelse:\\n  print(r)\", \"n, r = list(map(int, input().split()))\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"N,R = map(int,input().split())\\nprint(R) if N>=10 else print(R+(100*(10-N)))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\nelse:\\n  print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    ans = r + (100 * (10 - n))\\n    print(ans)\\nelse: \\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n,r = map(int,input().split())\\n\\nif n < 10:\\n  print(100 * (10 - n) + r)\\nelse :\\n  print(r)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  ans=R\\nelse:\\n  ans=R+100*(10-N)\\nprint(ans)\", \"n,r=map(int,input().split())\\n \\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"N, R = map(int, input().split())\\nif N >= 10:\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = list(map(int, input().split()))\\nprint((R+100*(10-N) if N <10 else R))\\n\", \"n, r =map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+1000-100*n)\", \"import os, sys, re, math\\n\\n(N, R) = [int(n) for n in input().split()]\\n\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"N,R = map(int,input().split())\\nprint(R+100*max(0,10-N))\", \"n,r=map(int,input().split())\\nif n<10:\\n  ans=r+(100*(10-n))\\nelse:\\n  ans=r\\nprint(ans)\", \"N,R=map(int,input().split())\\nans=0;\\nif N>=10:\\n  ans+=R\\nelse:\\n  ans+=R+100*(10-N)\\nprint(ans)\", \"N, R = map(int, input().split())\\nans = R + 100*max(0, (10-N))\\nprint(ans)\", \"N , R = [int(x) for x in input().split()]\\nif N >= 10 :\\n  print(R)\\nelse:\\n  print(100*(10-N) + R)\", \"n,r = map(int,input().split())\\nprint(r+100*(10-n) if n<10 else r)\", \"N,R=map(int,input().split())\\nif N>9:\\n  print(R)\\nelse:\\n  print(R+(10-N)*100)\", \"m = input(\\\"\\\")\\nlist = m.split(\\\" \\\")\\nif eval(list[0])<10:\\n    print(eval(list[1])+100*(10-eval(list[0])))\\nif eval(list[0])>=10:\\n    print(eval(list[1]))\", \"n,r=list(map(int,input().split()))\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\\n\\n\", \"n,r = list(map(int,input().split()))\\nprint((r if n>=10 else r+(10-n)*100))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n  print(r)\\nelse:\\n  print(r + (100 * (10 - n)))\", \"n,r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"n, r = list(map(int, input().split()))\\nif n <= 10:\\n    print((r + (100 * (10 - n))))\\nelse:\\n    print(r)\\n\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n,r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100*(10-n)))\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n  ans = r\\nelse:\\n  ans = r + 100*(10-n)\\nprint(ans)\", \"n,r = list(map(int,input().split()))\\nif(n <=10):\\n  print((r-100*(n-10)))\\nelse:\\n  print(r)\\n\", \"n,k = map(int,input().split())\\nif n >= 10:\\n  print(k)\\nelse:\\n  print(k + (10 - n)* 100 )\", \"N, R = list(map(int, input().split()))\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"n,r=map(int,input().split())\\nprint([r+100*(10-n),r][n>=10])\", \"n,r = map(int,input().split())\\nif n >= 10 :\\n    print(r)\\nelse :\\n    k = n\\n    x = r+100*(10-k)\\n    print(x)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n    print(R)\\n    return\\nelse:\\n    print(R + 100 * (10 - N))\\n    return\", \"n,p = map(int,input().split())\\nif n < 10:\\n  rate = p + 100*(10-n)\\nelse:\\n  rate = p\\nprint(rate)\", \"n, r = map(int, input().split())\\nif n < 10:\\n    print(r + 100 * (10 - n))\\nelse:\\n    print(r)\", \"N,R = list(map(int,input().split()))\\n\\nif N<10:\\n  print((100*(10-N)+R))\\nelse:\\n  print (R)\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n    print(r)\\n\\nelse:\\n    a = 100 * (10 - n)\\n    b = a + r\\n    print(b)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  print(R + 100*(10-N))\", \"n,r= map(int, input().split())\\n\\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"n,r=map(int,input().split())\\n\\nprint(r) if n>=10 else print(r+100*(10-n))\\n\", \"N, R = list(map(int,input().split()))\\nif N >= 10:\\n  print(R)\\nelse:\\n  print((R + 100*(10-N)))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  R = R+100*(10-N)\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N = list(map(int,input().split()))\\nif(N[0] < 10):\\n  print(N[1]+(100*(10-N[0])))\\nelse:\\n  print(N[1])\", \"n,r = map(int,input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n, r = map(int, input().split())\\nprint(r+100*(10-n) if n < 10 else r)\", \"n,r=map(int,input().split())\\nprint(r-100*min(0,n-10))\", \"N,R=map(int, input().split())\\n\\nif N>=10:\\n    print(str(R))\\nelse:\\n    x=R+(100*(10-N))\\n    print(str(x))\", \"n, r = map(int, input().split(\\\" \\\"))\\nif  n < 10:\\n  print(r + 100 * (10 - n))\\nelse:\\n  print(r)\", \"n, r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"\\ndef main():\\n\\tn, r = list(map(int, input().split()))\\n\\tif n>= 10:\\n\\t\\treturn r\\n\\telse:\\n\\t\\treturn r + (100 * (10 -n))\\n\\t\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"n,r=map(int, input().split())\\nprint(r+100*(10-n)*(n<10))\", \"N, R = map(int,input().split())\\n\\nif N <= 9:\\n    ans = R + (1000-100*N)\\nelse:\\n    ans = R\\nprint(ans)\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+ 100 * (10 - n)))\\n\", \"n, r = map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"def resolve():\\n\\tn,r = map(int,input().split())\\n\\tprint(r if n>=10 else r+100*(10-n))\\nresolve()\", \"N,R = map(int,input().split())\\nif N <= 10:\\n  print(100 * (10 - N) + R)\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n    print(R)\\nelse:\\n    print(R+100*(10-N))\", \"N, R = map(int, input().split())\\nprint(R+max(1000-100*N, 0))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    r = r + 100*(10-n)\\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N < 10:\\n    print((100 * (10 - N)) + R)\\nelse:\\n    print(R)\", \"n,r=list(map(int,input().split()))\\nif n<10:\\n  r+=(10-n)*100\\nprint(r)\\n\", \"# coding: utf-8\\n# Your code here!\\n\\n[n,r] = input().split()\\nn = int(n)\\nr = int(r)\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    ans = r + 100*(10-n)\\n    print(ans)\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    r += 100*(10-n)\\n\\nprint(r)\", \"N,R=map(int,input().split())\\nprint(R+max(0,(100*(10-N))))\", \"N,R = map(int, input().split())\\nif N < 10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n    print(R+100*(10-N))\\nelse:\\n    print(R)\", \"#!/usr/bin/env python3\\nn,r=list(map(int,input().split()))\\nans=r\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"N,R = map(int,input().split())\\nprint((R,R +100*(10-N))[N<=10])\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\n  \\nelse:\\n  print((r + 100*(10 - n)))\\n\\n\", \"n,r=map(int,input().split())\\nif n>=10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    r = 100*(10-N)\\n    print(r+R)\", \"def main():\\n    N, R = map(int, input().split())\\n\\n    if N >= 10:\\n        print(R)\\n    else:\\n        print(R+(100*(10-N)))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"a, b = map(int, input().split())\\nif a >= 10:\\n    print(b)\\nelse:\\n    print(b+100*(10-a))\", \"N,R=list(map(int,input().split()))\\nif N>=10:\\n    print(R)\\nelse:\\n    K=10-N\\n    I=100*K\\n    print((R+I))\\n\", \"N, R = map(int, input().split())\\n\\nif N >= 10 :\\n    print(R)\\nelse :\\n    print(R + 100 * (10 - N))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n >=10:\\n  print(r)\\nelse:\\n  print(r + 100 * (10 - n))\", \"N,R = map(int,input().split())\\nif(N >= 10):\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = map(int,input().split())\\n\\nif N<10:\\n  print(100*(10-N)+R)\\nelse:\\n  print (R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+(100*(10-N)))\", \"N, R = list(map(int, input().split()))\\nprint(R if N >= 10 else R + 100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+100*(10-N))\\nelse:\\n  print(R)\", \"n, r = list(map(int, input().split()))\\nif n < 10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R=map(int,input().split())\\nif N >= 10:\\n    print (R)\\nelse:\\n    print (100*(10-N)+R)\", \"n, r = list(map(int, input().split()))\\nprint((r if n >= 10 else r + 1000 - (100 * n)))\\n\", \"[N, R] = [int(i) for i in input().split()]\\nprint(R + 100*max(10-N, 0))\", \"n,r=map(int,input().split())\\nif n<10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\"]",
        "difficulty": "introductory",
        "input": "22 3051\n",
        "output": "3051\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_a"
    },
    {
        "id": 491,
        "task_id": 4367,
        "test_case_id": 3,
        "question": "Takahashi is a member of a programming competition site, ButCoder.\nEach member of ButCoder is assigned two values: Inner Rating and Displayed Rating.\nThe Displayed Rating of a member is equal to their Inner Rating if the member has participated in 10 or more contests. Otherwise, the Displayed Rating will be their Inner Rating minus 100 \\times (10 - K) when the member has participated in K contests.\nTakahashi has participated in N contests, and his Displayed Rating is R. Find his Inner Rating.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 100\n - 0 \\leq R \\leq 4111\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN R\n\n-----Output-----\nPrint his Inner Rating.\n\n-----Sample Input-----\n2 2919\n\n-----Sample Output-----\n3719\n\nTakahashi has participated in 2 contests, which is less than 10, so his Displayed Rating is his Inner Rating minus 100 \\times (10 - 2) = 800.\nThus, Takahashi's Inner Rating is 2919 + 800 = 3719.",
        "solutions": "[\"n, r = map(int, input().split())\\n\\nprint(r+100*(10-min(10, n)))\", \"n,x = list(map(int,input().split()))\\nif n >= 10:\\n  print(x)\\nelse:\\n  y = x + (10-n) * 100\\n  print(y)\\n\\n\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"n, r = map(int, input().split())\\nif n < 10:\\n  print((r + 100*(10-n)))\\nelse:\\n  print(r)\", \"n, r = list(map(int, input().split()))\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"N,R = map(int,input().split())\\nprint(R) if N>=10 else print(R+(100*(10-N)))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\nelse:\\n  print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    ans = r + (100 * (10 - n))\\n    print(ans)\\nelse: \\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n,r = map(int,input().split())\\n\\nif n < 10:\\n  print(100 * (10 - n) + r)\\nelse :\\n  print(r)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  ans=R\\nelse:\\n  ans=R+100*(10-N)\\nprint(ans)\", \"n,r=map(int,input().split())\\n \\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"N, R = map(int, input().split())\\nif N >= 10:\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = list(map(int, input().split()))\\nprint((R+100*(10-N) if N <10 else R))\\n\", \"n, r =map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+1000-100*n)\", \"import os, sys, re, math\\n\\n(N, R) = [int(n) for n in input().split()]\\n\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"N,R = map(int,input().split())\\nprint(R+100*max(0,10-N))\", \"n,r=map(int,input().split())\\nif n<10:\\n  ans=r+(100*(10-n))\\nelse:\\n  ans=r\\nprint(ans)\", \"N,R=map(int,input().split())\\nans=0;\\nif N>=10:\\n  ans+=R\\nelse:\\n  ans+=R+100*(10-N)\\nprint(ans)\", \"N, R = map(int, input().split())\\nans = R + 100*max(0, (10-N))\\nprint(ans)\", \"N , R = [int(x) for x in input().split()]\\nif N >= 10 :\\n  print(R)\\nelse:\\n  print(100*(10-N) + R)\", \"n,r = map(int,input().split())\\nprint(r+100*(10-n) if n<10 else r)\", \"N,R=map(int,input().split())\\nif N>9:\\n  print(R)\\nelse:\\n  print(R+(10-N)*100)\", \"m = input(\\\"\\\")\\nlist = m.split(\\\" \\\")\\nif eval(list[0])<10:\\n    print(eval(list[1])+100*(10-eval(list[0])))\\nif eval(list[0])>=10:\\n    print(eval(list[1]))\", \"n,r=list(map(int,input().split()))\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\\n\\n\", \"n,r = list(map(int,input().split()))\\nprint((r if n>=10 else r+(10-n)*100))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n  print(r)\\nelse:\\n  print(r + (100 * (10 - n)))\", \"n,r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"n, r = list(map(int, input().split()))\\nif n <= 10:\\n    print((r + (100 * (10 - n))))\\nelse:\\n    print(r)\\n\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n,r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100*(10-n)))\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n  ans = r\\nelse:\\n  ans = r + 100*(10-n)\\nprint(ans)\", \"n,r = list(map(int,input().split()))\\nif(n <=10):\\n  print((r-100*(n-10)))\\nelse:\\n  print(r)\\n\", \"n,k = map(int,input().split())\\nif n >= 10:\\n  print(k)\\nelse:\\n  print(k + (10 - n)* 100 )\", \"N, R = list(map(int, input().split()))\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"n,r=map(int,input().split())\\nprint([r+100*(10-n),r][n>=10])\", \"n,r = map(int,input().split())\\nif n >= 10 :\\n    print(r)\\nelse :\\n    k = n\\n    x = r+100*(10-k)\\n    print(x)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n    print(R)\\n    return\\nelse:\\n    print(R + 100 * (10 - N))\\n    return\", \"n,p = map(int,input().split())\\nif n < 10:\\n  rate = p + 100*(10-n)\\nelse:\\n  rate = p\\nprint(rate)\", \"n, r = map(int, input().split())\\nif n < 10:\\n    print(r + 100 * (10 - n))\\nelse:\\n    print(r)\", \"N,R = list(map(int,input().split()))\\n\\nif N<10:\\n  print((100*(10-N)+R))\\nelse:\\n  print (R)\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n    print(r)\\n\\nelse:\\n    a = 100 * (10 - n)\\n    b = a + r\\n    print(b)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  print(R + 100*(10-N))\", \"n,r= map(int, input().split())\\n\\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"n,r=map(int,input().split())\\n\\nprint(r) if n>=10 else print(r+100*(10-n))\\n\", \"N, R = list(map(int,input().split()))\\nif N >= 10:\\n  print(R)\\nelse:\\n  print((R + 100*(10-N)))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  R = R+100*(10-N)\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N = list(map(int,input().split()))\\nif(N[0] < 10):\\n  print(N[1]+(100*(10-N[0])))\\nelse:\\n  print(N[1])\", \"n,r = map(int,input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n, r = map(int, input().split())\\nprint(r+100*(10-n) if n < 10 else r)\", \"n,r=map(int,input().split())\\nprint(r-100*min(0,n-10))\", \"N,R=map(int, input().split())\\n\\nif N>=10:\\n    print(str(R))\\nelse:\\n    x=R+(100*(10-N))\\n    print(str(x))\", \"n, r = map(int, input().split(\\\" \\\"))\\nif  n < 10:\\n  print(r + 100 * (10 - n))\\nelse:\\n  print(r)\", \"n, r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"\\ndef main():\\n\\tn, r = list(map(int, input().split()))\\n\\tif n>= 10:\\n\\t\\treturn r\\n\\telse:\\n\\t\\treturn r + (100 * (10 -n))\\n\\t\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"n,r=map(int, input().split())\\nprint(r+100*(10-n)*(n<10))\", \"N, R = map(int,input().split())\\n\\nif N <= 9:\\n    ans = R + (1000-100*N)\\nelse:\\n    ans = R\\nprint(ans)\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+ 100 * (10 - n)))\\n\", \"n, r = map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"def resolve():\\n\\tn,r = map(int,input().split())\\n\\tprint(r if n>=10 else r+100*(10-n))\\nresolve()\", \"N,R = map(int,input().split())\\nif N <= 10:\\n  print(100 * (10 - N) + R)\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n    print(R)\\nelse:\\n    print(R+100*(10-N))\", \"N, R = map(int, input().split())\\nprint(R+max(1000-100*N, 0))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    r = r + 100*(10-n)\\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N < 10:\\n    print((100 * (10 - N)) + R)\\nelse:\\n    print(R)\", \"n,r=list(map(int,input().split()))\\nif n<10:\\n  r+=(10-n)*100\\nprint(r)\\n\", \"# coding: utf-8\\n# Your code here!\\n\\n[n,r] = input().split()\\nn = int(n)\\nr = int(r)\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    ans = r + 100*(10-n)\\n    print(ans)\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    r += 100*(10-n)\\n\\nprint(r)\", \"N,R=map(int,input().split())\\nprint(R+max(0,(100*(10-N))))\", \"N,R = map(int, input().split())\\nif N < 10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n    print(R+100*(10-N))\\nelse:\\n    print(R)\", \"#!/usr/bin/env python3\\nn,r=list(map(int,input().split()))\\nans=r\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"N,R = map(int,input().split())\\nprint((R,R +100*(10-N))[N<=10])\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\n  \\nelse:\\n  print((r + 100*(10 - n)))\\n\\n\", \"n,r=map(int,input().split())\\nif n>=10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    r = 100*(10-N)\\n    print(r+R)\", \"def main():\\n    N, R = map(int, input().split())\\n\\n    if N >= 10:\\n        print(R)\\n    else:\\n        print(R+(100*(10-N)))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"a, b = map(int, input().split())\\nif a >= 10:\\n    print(b)\\nelse:\\n    print(b+100*(10-a))\", \"N,R=list(map(int,input().split()))\\nif N>=10:\\n    print(R)\\nelse:\\n    K=10-N\\n    I=100*K\\n    print((R+I))\\n\", \"N, R = map(int, input().split())\\n\\nif N >= 10 :\\n    print(R)\\nelse :\\n    print(R + 100 * (10 - N))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n >=10:\\n  print(r)\\nelse:\\n  print(r + 100 * (10 - n))\", \"N,R = map(int,input().split())\\nif(N >= 10):\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = map(int,input().split())\\n\\nif N<10:\\n  print(100*(10-N)+R)\\nelse:\\n  print (R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+(100*(10-N)))\", \"N, R = list(map(int, input().split()))\\nprint(R if N >= 10 else R + 100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+100*(10-N))\\nelse:\\n  print(R)\", \"n, r = list(map(int, input().split()))\\nif n < 10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R=map(int,input().split())\\nif N >= 10:\\n    print (R)\\nelse:\\n    print (100*(10-N)+R)\", \"n, r = list(map(int, input().split()))\\nprint((r if n >= 10 else r + 1000 - (100 * n)))\\n\", \"[N, R] = [int(i) for i in input().split()]\\nprint(R + 100*max(10-N, 0))\", \"n,r=map(int,input().split())\\nif n<10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\"]",
        "difficulty": "introductory",
        "input": "1 4111\n",
        "output": "5011\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_a"
    },
    {
        "id": 492,
        "task_id": 4367,
        "test_case_id": 4,
        "question": "Takahashi is a member of a programming competition site, ButCoder.\nEach member of ButCoder is assigned two values: Inner Rating and Displayed Rating.\nThe Displayed Rating of a member is equal to their Inner Rating if the member has participated in 10 or more contests. Otherwise, the Displayed Rating will be their Inner Rating minus 100 \\times (10 - K) when the member has participated in K contests.\nTakahashi has participated in N contests, and his Displayed Rating is R. Find his Inner Rating.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 100\n - 0 \\leq R \\leq 4111\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN R\n\n-----Output-----\nPrint his Inner Rating.\n\n-----Sample Input-----\n2 2919\n\n-----Sample Output-----\n3719\n\nTakahashi has participated in 2 contests, which is less than 10, so his Displayed Rating is his Inner Rating minus 100 \\times (10 - 2) = 800.\nThus, Takahashi's Inner Rating is 2919 + 800 = 3719.",
        "solutions": "[\"n, r = map(int, input().split())\\n\\nprint(r+100*(10-min(10, n)))\", \"n,x = list(map(int,input().split()))\\nif n >= 10:\\n  print(x)\\nelse:\\n  y = x + (10-n) * 100\\n  print(y)\\n\\n\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"n, r = map(int, input().split())\\nif n < 10:\\n  print((r + 100*(10-n)))\\nelse:\\n  print(r)\", \"n, r = list(map(int, input().split()))\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"N,R = map(int,input().split())\\nprint(R) if N>=10 else print(R+(100*(10-N)))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\nelse:\\n  print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    ans = r + (100 * (10 - n))\\n    print(ans)\\nelse: \\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n,r = map(int,input().split())\\n\\nif n < 10:\\n  print(100 * (10 - n) + r)\\nelse :\\n  print(r)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  ans=R\\nelse:\\n  ans=R+100*(10-N)\\nprint(ans)\", \"n,r=map(int,input().split())\\n \\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"N, R = map(int, input().split())\\nif N >= 10:\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = list(map(int, input().split()))\\nprint((R+100*(10-N) if N <10 else R))\\n\", \"n, r =map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+1000-100*n)\", \"import os, sys, re, math\\n\\n(N, R) = [int(n) for n in input().split()]\\n\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"N,R = map(int,input().split())\\nprint(R+100*max(0,10-N))\", \"n,r=map(int,input().split())\\nif n<10:\\n  ans=r+(100*(10-n))\\nelse:\\n  ans=r\\nprint(ans)\", \"N,R=map(int,input().split())\\nans=0;\\nif N>=10:\\n  ans+=R\\nelse:\\n  ans+=R+100*(10-N)\\nprint(ans)\", \"N, R = map(int, input().split())\\nans = R + 100*max(0, (10-N))\\nprint(ans)\", \"N , R = [int(x) for x in input().split()]\\nif N >= 10 :\\n  print(R)\\nelse:\\n  print(100*(10-N) + R)\", \"n,r = map(int,input().split())\\nprint(r+100*(10-n) if n<10 else r)\", \"N,R=map(int,input().split())\\nif N>9:\\n  print(R)\\nelse:\\n  print(R+(10-N)*100)\", \"m = input(\\\"\\\")\\nlist = m.split(\\\" \\\")\\nif eval(list[0])<10:\\n    print(eval(list[1])+100*(10-eval(list[0])))\\nif eval(list[0])>=10:\\n    print(eval(list[1]))\", \"n,r=list(map(int,input().split()))\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\\n\\n\", \"n,r = list(map(int,input().split()))\\nprint((r if n>=10 else r+(10-n)*100))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n  print(r)\\nelse:\\n  print(r + (100 * (10 - n)))\", \"n,r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"n, r = list(map(int, input().split()))\\nif n <= 10:\\n    print((r + (100 * (10 - n))))\\nelse:\\n    print(r)\\n\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n,r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100*(10-n)))\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n  ans = r\\nelse:\\n  ans = r + 100*(10-n)\\nprint(ans)\", \"n,r = list(map(int,input().split()))\\nif(n <=10):\\n  print((r-100*(n-10)))\\nelse:\\n  print(r)\\n\", \"n,k = map(int,input().split())\\nif n >= 10:\\n  print(k)\\nelse:\\n  print(k + (10 - n)* 100 )\", \"N, R = list(map(int, input().split()))\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"n,r=map(int,input().split())\\nprint([r+100*(10-n),r][n>=10])\", \"n,r = map(int,input().split())\\nif n >= 10 :\\n    print(r)\\nelse :\\n    k = n\\n    x = r+100*(10-k)\\n    print(x)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n    print(R)\\n    return\\nelse:\\n    print(R + 100 * (10 - N))\\n    return\", \"n,p = map(int,input().split())\\nif n < 10:\\n  rate = p + 100*(10-n)\\nelse:\\n  rate = p\\nprint(rate)\", \"n, r = map(int, input().split())\\nif n < 10:\\n    print(r + 100 * (10 - n))\\nelse:\\n    print(r)\", \"N,R = list(map(int,input().split()))\\n\\nif N<10:\\n  print((100*(10-N)+R))\\nelse:\\n  print (R)\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n    print(r)\\n\\nelse:\\n    a = 100 * (10 - n)\\n    b = a + r\\n    print(b)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  print(R + 100*(10-N))\", \"n,r= map(int, input().split())\\n\\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"n,r=map(int,input().split())\\n\\nprint(r) if n>=10 else print(r+100*(10-n))\\n\", \"N, R = list(map(int,input().split()))\\nif N >= 10:\\n  print(R)\\nelse:\\n  print((R + 100*(10-N)))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  R = R+100*(10-N)\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N = list(map(int,input().split()))\\nif(N[0] < 10):\\n  print(N[1]+(100*(10-N[0])))\\nelse:\\n  print(N[1])\", \"n,r = map(int,input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n, r = map(int, input().split())\\nprint(r+100*(10-n) if n < 10 else r)\", \"n,r=map(int,input().split())\\nprint(r-100*min(0,n-10))\", \"N,R=map(int, input().split())\\n\\nif N>=10:\\n    print(str(R))\\nelse:\\n    x=R+(100*(10-N))\\n    print(str(x))\", \"n, r = map(int, input().split(\\\" \\\"))\\nif  n < 10:\\n  print(r + 100 * (10 - n))\\nelse:\\n  print(r)\", \"n, r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"\\ndef main():\\n\\tn, r = list(map(int, input().split()))\\n\\tif n>= 10:\\n\\t\\treturn r\\n\\telse:\\n\\t\\treturn r + (100 * (10 -n))\\n\\t\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"n,r=map(int, input().split())\\nprint(r+100*(10-n)*(n<10))\", \"N, R = map(int,input().split())\\n\\nif N <= 9:\\n    ans = R + (1000-100*N)\\nelse:\\n    ans = R\\nprint(ans)\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+ 100 * (10 - n)))\\n\", \"n, r = map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"def resolve():\\n\\tn,r = map(int,input().split())\\n\\tprint(r if n>=10 else r+100*(10-n))\\nresolve()\", \"N,R = map(int,input().split())\\nif N <= 10:\\n  print(100 * (10 - N) + R)\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n    print(R)\\nelse:\\n    print(R+100*(10-N))\", \"N, R = map(int, input().split())\\nprint(R+max(1000-100*N, 0))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    r = r + 100*(10-n)\\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N < 10:\\n    print((100 * (10 - N)) + R)\\nelse:\\n    print(R)\", \"n,r=list(map(int,input().split()))\\nif n<10:\\n  r+=(10-n)*100\\nprint(r)\\n\", \"# coding: utf-8\\n# Your code here!\\n\\n[n,r] = input().split()\\nn = int(n)\\nr = int(r)\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    ans = r + 100*(10-n)\\n    print(ans)\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    r += 100*(10-n)\\n\\nprint(r)\", \"N,R=map(int,input().split())\\nprint(R+max(0,(100*(10-N))))\", \"N,R = map(int, input().split())\\nif N < 10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n    print(R+100*(10-N))\\nelse:\\n    print(R)\", \"#!/usr/bin/env python3\\nn,r=list(map(int,input().split()))\\nans=r\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"N,R = map(int,input().split())\\nprint((R,R +100*(10-N))[N<=10])\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\n  \\nelse:\\n  print((r + 100*(10 - n)))\\n\\n\", \"n,r=map(int,input().split())\\nif n>=10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    r = 100*(10-N)\\n    print(r+R)\", \"def main():\\n    N, R = map(int, input().split())\\n\\n    if N >= 10:\\n        print(R)\\n    else:\\n        print(R+(100*(10-N)))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"a, b = map(int, input().split())\\nif a >= 10:\\n    print(b)\\nelse:\\n    print(b+100*(10-a))\", \"N,R=list(map(int,input().split()))\\nif N>=10:\\n    print(R)\\nelse:\\n    K=10-N\\n    I=100*K\\n    print((R+I))\\n\", \"N, R = map(int, input().split())\\n\\nif N >= 10 :\\n    print(R)\\nelse :\\n    print(R + 100 * (10 - N))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n >=10:\\n  print(r)\\nelse:\\n  print(r + 100 * (10 - n))\", \"N,R = map(int,input().split())\\nif(N >= 10):\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = map(int,input().split())\\n\\nif N<10:\\n  print(100*(10-N)+R)\\nelse:\\n  print (R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+(100*(10-N)))\", \"N, R = list(map(int, input().split()))\\nprint(R if N >= 10 else R + 100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+100*(10-N))\\nelse:\\n  print(R)\", \"n, r = list(map(int, input().split()))\\nif n < 10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R=map(int,input().split())\\nif N >= 10:\\n    print (R)\\nelse:\\n    print (100*(10-N)+R)\", \"n, r = list(map(int, input().split()))\\nprint((r if n >= 10 else r + 1000 - (100 * n)))\\n\", \"[N, R] = [int(i) for i in input().split()]\\nprint(R + 100*max(10-N, 0))\", \"n,r=map(int,input().split())\\nif n<10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\"]",
        "difficulty": "introductory",
        "input": "100 4111\n",
        "output": "4111\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_a"
    },
    {
        "id": 493,
        "task_id": 4367,
        "test_case_id": 5,
        "question": "Takahashi is a member of a programming competition site, ButCoder.\nEach member of ButCoder is assigned two values: Inner Rating and Displayed Rating.\nThe Displayed Rating of a member is equal to their Inner Rating if the member has participated in 10 or more contests. Otherwise, the Displayed Rating will be their Inner Rating minus 100 \\times (10 - K) when the member has participated in K contests.\nTakahashi has participated in N contests, and his Displayed Rating is R. Find his Inner Rating.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 100\n - 0 \\leq R \\leq 4111\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN R\n\n-----Output-----\nPrint his Inner Rating.\n\n-----Sample Input-----\n2 2919\n\n-----Sample Output-----\n3719\n\nTakahashi has participated in 2 contests, which is less than 10, so his Displayed Rating is his Inner Rating minus 100 \\times (10 - 2) = 800.\nThus, Takahashi's Inner Rating is 2919 + 800 = 3719.",
        "solutions": "[\"n, r = map(int, input().split())\\n\\nprint(r+100*(10-min(10, n)))\", \"n,x = list(map(int,input().split()))\\nif n >= 10:\\n  print(x)\\nelse:\\n  y = x + (10-n) * 100\\n  print(y)\\n\\n\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"n, r = map(int, input().split())\\nif n < 10:\\n  print((r + 100*(10-n)))\\nelse:\\n  print(r)\", \"n, r = list(map(int, input().split()))\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"N,R = map(int,input().split())\\nprint(R) if N>=10 else print(R+(100*(10-N)))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\nelse:\\n  print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    ans = r + (100 * (10 - n))\\n    print(ans)\\nelse: \\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n,r = map(int,input().split())\\n\\nif n < 10:\\n  print(100 * (10 - n) + r)\\nelse :\\n  print(r)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  ans=R\\nelse:\\n  ans=R+100*(10-N)\\nprint(ans)\", \"n,r=map(int,input().split())\\n \\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"N, R = map(int, input().split())\\nif N >= 10:\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = list(map(int, input().split()))\\nprint((R+100*(10-N) if N <10 else R))\\n\", \"n, r =map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+1000-100*n)\", \"import os, sys, re, math\\n\\n(N, R) = [int(n) for n in input().split()]\\n\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"N,R = map(int,input().split())\\nprint(R+100*max(0,10-N))\", \"n,r=map(int,input().split())\\nif n<10:\\n  ans=r+(100*(10-n))\\nelse:\\n  ans=r\\nprint(ans)\", \"N,R=map(int,input().split())\\nans=0;\\nif N>=10:\\n  ans+=R\\nelse:\\n  ans+=R+100*(10-N)\\nprint(ans)\", \"N, R = map(int, input().split())\\nans = R + 100*max(0, (10-N))\\nprint(ans)\", \"N , R = [int(x) for x in input().split()]\\nif N >= 10 :\\n  print(R)\\nelse:\\n  print(100*(10-N) + R)\", \"n,r = map(int,input().split())\\nprint(r+100*(10-n) if n<10 else r)\", \"N,R=map(int,input().split())\\nif N>9:\\n  print(R)\\nelse:\\n  print(R+(10-N)*100)\", \"m = input(\\\"\\\")\\nlist = m.split(\\\" \\\")\\nif eval(list[0])<10:\\n    print(eval(list[1])+100*(10-eval(list[0])))\\nif eval(list[0])>=10:\\n    print(eval(list[1]))\", \"n,r=list(map(int,input().split()))\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\\n\\n\", \"n,r = list(map(int,input().split()))\\nprint((r if n>=10 else r+(10-n)*100))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n  print(r)\\nelse:\\n  print(r + (100 * (10 - n)))\", \"n,r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"n, r = list(map(int, input().split()))\\nif n <= 10:\\n    print((r + (100 * (10 - n))))\\nelse:\\n    print(r)\\n\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n,r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100*(10-n)))\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n  ans = r\\nelse:\\n  ans = r + 100*(10-n)\\nprint(ans)\", \"n,r = list(map(int,input().split()))\\nif(n <=10):\\n  print((r-100*(n-10)))\\nelse:\\n  print(r)\\n\", \"n,k = map(int,input().split())\\nif n >= 10:\\n  print(k)\\nelse:\\n  print(k + (10 - n)* 100 )\", \"N, R = list(map(int, input().split()))\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"n,r=map(int,input().split())\\nprint([r+100*(10-n),r][n>=10])\", \"n,r = map(int,input().split())\\nif n >= 10 :\\n    print(r)\\nelse :\\n    k = n\\n    x = r+100*(10-k)\\n    print(x)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n    print(R)\\n    return\\nelse:\\n    print(R + 100 * (10 - N))\\n    return\", \"n,p = map(int,input().split())\\nif n < 10:\\n  rate = p + 100*(10-n)\\nelse:\\n  rate = p\\nprint(rate)\", \"n, r = map(int, input().split())\\nif n < 10:\\n    print(r + 100 * (10 - n))\\nelse:\\n    print(r)\", \"N,R = list(map(int,input().split()))\\n\\nif N<10:\\n  print((100*(10-N)+R))\\nelse:\\n  print (R)\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n    print(r)\\n\\nelse:\\n    a = 100 * (10 - n)\\n    b = a + r\\n    print(b)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  print(R + 100*(10-N))\", \"n,r= map(int, input().split())\\n\\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"n,r=map(int,input().split())\\n\\nprint(r) if n>=10 else print(r+100*(10-n))\\n\", \"N, R = list(map(int,input().split()))\\nif N >= 10:\\n  print(R)\\nelse:\\n  print((R + 100*(10-N)))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  R = R+100*(10-N)\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N = list(map(int,input().split()))\\nif(N[0] < 10):\\n  print(N[1]+(100*(10-N[0])))\\nelse:\\n  print(N[1])\", \"n,r = map(int,input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n, r = map(int, input().split())\\nprint(r+100*(10-n) if n < 10 else r)\", \"n,r=map(int,input().split())\\nprint(r-100*min(0,n-10))\", \"N,R=map(int, input().split())\\n\\nif N>=10:\\n    print(str(R))\\nelse:\\n    x=R+(100*(10-N))\\n    print(str(x))\", \"n, r = map(int, input().split(\\\" \\\"))\\nif  n < 10:\\n  print(r + 100 * (10 - n))\\nelse:\\n  print(r)\", \"n, r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"\\ndef main():\\n\\tn, r = list(map(int, input().split()))\\n\\tif n>= 10:\\n\\t\\treturn r\\n\\telse:\\n\\t\\treturn r + (100 * (10 -n))\\n\\t\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"n,r=map(int, input().split())\\nprint(r+100*(10-n)*(n<10))\", \"N, R = map(int,input().split())\\n\\nif N <= 9:\\n    ans = R + (1000-100*N)\\nelse:\\n    ans = R\\nprint(ans)\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+ 100 * (10 - n)))\\n\", \"n, r = map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"def resolve():\\n\\tn,r = map(int,input().split())\\n\\tprint(r if n>=10 else r+100*(10-n))\\nresolve()\", \"N,R = map(int,input().split())\\nif N <= 10:\\n  print(100 * (10 - N) + R)\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n    print(R)\\nelse:\\n    print(R+100*(10-N))\", \"N, R = map(int, input().split())\\nprint(R+max(1000-100*N, 0))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    r = r + 100*(10-n)\\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N < 10:\\n    print((100 * (10 - N)) + R)\\nelse:\\n    print(R)\", \"n,r=list(map(int,input().split()))\\nif n<10:\\n  r+=(10-n)*100\\nprint(r)\\n\", \"# coding: utf-8\\n# Your code here!\\n\\n[n,r] = input().split()\\nn = int(n)\\nr = int(r)\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    ans = r + 100*(10-n)\\n    print(ans)\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    r += 100*(10-n)\\n\\nprint(r)\", \"N,R=map(int,input().split())\\nprint(R+max(0,(100*(10-N))))\", \"N,R = map(int, input().split())\\nif N < 10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n    print(R+100*(10-N))\\nelse:\\n    print(R)\", \"#!/usr/bin/env python3\\nn,r=list(map(int,input().split()))\\nans=r\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"N,R = map(int,input().split())\\nprint((R,R +100*(10-N))[N<=10])\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\n  \\nelse:\\n  print((r + 100*(10 - n)))\\n\\n\", \"n,r=map(int,input().split())\\nif n>=10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    r = 100*(10-N)\\n    print(r+R)\", \"def main():\\n    N, R = map(int, input().split())\\n\\n    if N >= 10:\\n        print(R)\\n    else:\\n        print(R+(100*(10-N)))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"a, b = map(int, input().split())\\nif a >= 10:\\n    print(b)\\nelse:\\n    print(b+100*(10-a))\", \"N,R=list(map(int,input().split()))\\nif N>=10:\\n    print(R)\\nelse:\\n    K=10-N\\n    I=100*K\\n    print((R+I))\\n\", \"N, R = map(int, input().split())\\n\\nif N >= 10 :\\n    print(R)\\nelse :\\n    print(R + 100 * (10 - N))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n >=10:\\n  print(r)\\nelse:\\n  print(r + 100 * (10 - n))\", \"N,R = map(int,input().split())\\nif(N >= 10):\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = map(int,input().split())\\n\\nif N<10:\\n  print(100*(10-N)+R)\\nelse:\\n  print (R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+(100*(10-N)))\", \"N, R = list(map(int, input().split()))\\nprint(R if N >= 10 else R + 100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+100*(10-N))\\nelse:\\n  print(R)\", \"n, r = list(map(int, input().split()))\\nif n < 10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R=map(int,input().split())\\nif N >= 10:\\n    print (R)\\nelse:\\n    print (100*(10-N)+R)\", \"n, r = list(map(int, input().split()))\\nprint((r if n >= 10 else r + 1000 - (100 * n)))\\n\", \"[N, R] = [int(i) for i in input().split()]\\nprint(R + 100*max(10-N, 0))\", \"n,r=map(int,input().split())\\nif n<10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\"]",
        "difficulty": "introductory",
        "input": "9 3141\n",
        "output": "3241\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_a"
    },
    {
        "id": 494,
        "task_id": 4367,
        "test_case_id": 6,
        "question": "Takahashi is a member of a programming competition site, ButCoder.\nEach member of ButCoder is assigned two values: Inner Rating and Displayed Rating.\nThe Displayed Rating of a member is equal to their Inner Rating if the member has participated in 10 or more contests. Otherwise, the Displayed Rating will be their Inner Rating minus 100 \\times (10 - K) when the member has participated in K contests.\nTakahashi has participated in N contests, and his Displayed Rating is R. Find his Inner Rating.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 100\n - 0 \\leq R \\leq 4111\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN R\n\n-----Output-----\nPrint his Inner Rating.\n\n-----Sample Input-----\n2 2919\n\n-----Sample Output-----\n3719\n\nTakahashi has participated in 2 contests, which is less than 10, so his Displayed Rating is his Inner Rating minus 100 \\times (10 - 2) = 800.\nThus, Takahashi's Inner Rating is 2919 + 800 = 3719.",
        "solutions": "[\"n, r = map(int, input().split())\\n\\nprint(r+100*(10-min(10, n)))\", \"n,x = list(map(int,input().split()))\\nif n >= 10:\\n  print(x)\\nelse:\\n  y = x + (10-n) * 100\\n  print(y)\\n\\n\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"n, r = map(int, input().split())\\nif n < 10:\\n  print((r + 100*(10-n)))\\nelse:\\n  print(r)\", \"n, r = list(map(int, input().split()))\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"N,R = map(int,input().split())\\nprint(R) if N>=10 else print(R+(100*(10-N)))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\nelse:\\n  print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    ans = r + (100 * (10 - n))\\n    print(ans)\\nelse: \\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n,r = map(int,input().split())\\n\\nif n < 10:\\n  print(100 * (10 - n) + r)\\nelse :\\n  print(r)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  ans=R\\nelse:\\n  ans=R+100*(10-N)\\nprint(ans)\", \"n,r=map(int,input().split())\\n \\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"N, R = map(int, input().split())\\nif N >= 10:\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = list(map(int, input().split()))\\nprint((R+100*(10-N) if N <10 else R))\\n\", \"n, r =map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+1000-100*n)\", \"import os, sys, re, math\\n\\n(N, R) = [int(n) for n in input().split()]\\n\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"N,R = map(int,input().split())\\nprint(R+100*max(0,10-N))\", \"n,r=map(int,input().split())\\nif n<10:\\n  ans=r+(100*(10-n))\\nelse:\\n  ans=r\\nprint(ans)\", \"N,R=map(int,input().split())\\nans=0;\\nif N>=10:\\n  ans+=R\\nelse:\\n  ans+=R+100*(10-N)\\nprint(ans)\", \"N, R = map(int, input().split())\\nans = R + 100*max(0, (10-N))\\nprint(ans)\", \"N , R = [int(x) for x in input().split()]\\nif N >= 10 :\\n  print(R)\\nelse:\\n  print(100*(10-N) + R)\", \"n,r = map(int,input().split())\\nprint(r+100*(10-n) if n<10 else r)\", \"N,R=map(int,input().split())\\nif N>9:\\n  print(R)\\nelse:\\n  print(R+(10-N)*100)\", \"m = input(\\\"\\\")\\nlist = m.split(\\\" \\\")\\nif eval(list[0])<10:\\n    print(eval(list[1])+100*(10-eval(list[0])))\\nif eval(list[0])>=10:\\n    print(eval(list[1]))\", \"n,r=list(map(int,input().split()))\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\\n\\n\", \"n,r = list(map(int,input().split()))\\nprint((r if n>=10 else r+(10-n)*100))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n  print(r)\\nelse:\\n  print(r + (100 * (10 - n)))\", \"n,r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"n, r = list(map(int, input().split()))\\nif n <= 10:\\n    print((r + (100 * (10 - n))))\\nelse:\\n    print(r)\\n\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n,r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100*(10-n)))\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n  ans = r\\nelse:\\n  ans = r + 100*(10-n)\\nprint(ans)\", \"n,r = list(map(int,input().split()))\\nif(n <=10):\\n  print((r-100*(n-10)))\\nelse:\\n  print(r)\\n\", \"n,k = map(int,input().split())\\nif n >= 10:\\n  print(k)\\nelse:\\n  print(k + (10 - n)* 100 )\", \"N, R = list(map(int, input().split()))\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"n,r=map(int,input().split())\\nprint([r+100*(10-n),r][n>=10])\", \"n,r = map(int,input().split())\\nif n >= 10 :\\n    print(r)\\nelse :\\n    k = n\\n    x = r+100*(10-k)\\n    print(x)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n    print(R)\\n    return\\nelse:\\n    print(R + 100 * (10 - N))\\n    return\", \"n,p = map(int,input().split())\\nif n < 10:\\n  rate = p + 100*(10-n)\\nelse:\\n  rate = p\\nprint(rate)\", \"n, r = map(int, input().split())\\nif n < 10:\\n    print(r + 100 * (10 - n))\\nelse:\\n    print(r)\", \"N,R = list(map(int,input().split()))\\n\\nif N<10:\\n  print((100*(10-N)+R))\\nelse:\\n  print (R)\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n    print(r)\\n\\nelse:\\n    a = 100 * (10 - n)\\n    b = a + r\\n    print(b)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  print(R + 100*(10-N))\", \"n,r= map(int, input().split())\\n\\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"n,r=map(int,input().split())\\n\\nprint(r) if n>=10 else print(r+100*(10-n))\\n\", \"N, R = list(map(int,input().split()))\\nif N >= 10:\\n  print(R)\\nelse:\\n  print((R + 100*(10-N)))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  R = R+100*(10-N)\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N = list(map(int,input().split()))\\nif(N[0] < 10):\\n  print(N[1]+(100*(10-N[0])))\\nelse:\\n  print(N[1])\", \"n,r = map(int,input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n, r = map(int, input().split())\\nprint(r+100*(10-n) if n < 10 else r)\", \"n,r=map(int,input().split())\\nprint(r-100*min(0,n-10))\", \"N,R=map(int, input().split())\\n\\nif N>=10:\\n    print(str(R))\\nelse:\\n    x=R+(100*(10-N))\\n    print(str(x))\", \"n, r = map(int, input().split(\\\" \\\"))\\nif  n < 10:\\n  print(r + 100 * (10 - n))\\nelse:\\n  print(r)\", \"n, r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"\\ndef main():\\n\\tn, r = list(map(int, input().split()))\\n\\tif n>= 10:\\n\\t\\treturn r\\n\\telse:\\n\\t\\treturn r + (100 * (10 -n))\\n\\t\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"n,r=map(int, input().split())\\nprint(r+100*(10-n)*(n<10))\", \"N, R = map(int,input().split())\\n\\nif N <= 9:\\n    ans = R + (1000-100*N)\\nelse:\\n    ans = R\\nprint(ans)\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+ 100 * (10 - n)))\\n\", \"n, r = map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"def resolve():\\n\\tn,r = map(int,input().split())\\n\\tprint(r if n>=10 else r+100*(10-n))\\nresolve()\", \"N,R = map(int,input().split())\\nif N <= 10:\\n  print(100 * (10 - N) + R)\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n    print(R)\\nelse:\\n    print(R+100*(10-N))\", \"N, R = map(int, input().split())\\nprint(R+max(1000-100*N, 0))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    r = r + 100*(10-n)\\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N < 10:\\n    print((100 * (10 - N)) + R)\\nelse:\\n    print(R)\", \"n,r=list(map(int,input().split()))\\nif n<10:\\n  r+=(10-n)*100\\nprint(r)\\n\", \"# coding: utf-8\\n# Your code here!\\n\\n[n,r] = input().split()\\nn = int(n)\\nr = int(r)\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    ans = r + 100*(10-n)\\n    print(ans)\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    r += 100*(10-n)\\n\\nprint(r)\", \"N,R=map(int,input().split())\\nprint(R+max(0,(100*(10-N))))\", \"N,R = map(int, input().split())\\nif N < 10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n    print(R+100*(10-N))\\nelse:\\n    print(R)\", \"#!/usr/bin/env python3\\nn,r=list(map(int,input().split()))\\nans=r\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"N,R = map(int,input().split())\\nprint((R,R +100*(10-N))[N<=10])\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\n  \\nelse:\\n  print((r + 100*(10 - n)))\\n\\n\", \"n,r=map(int,input().split())\\nif n>=10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    r = 100*(10-N)\\n    print(r+R)\", \"def main():\\n    N, R = map(int, input().split())\\n\\n    if N >= 10:\\n        print(R)\\n    else:\\n        print(R+(100*(10-N)))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"a, b = map(int, input().split())\\nif a >= 10:\\n    print(b)\\nelse:\\n    print(b+100*(10-a))\", \"N,R=list(map(int,input().split()))\\nif N>=10:\\n    print(R)\\nelse:\\n    K=10-N\\n    I=100*K\\n    print((R+I))\\n\", \"N, R = map(int, input().split())\\n\\nif N >= 10 :\\n    print(R)\\nelse :\\n    print(R + 100 * (10 - N))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n >=10:\\n  print(r)\\nelse:\\n  print(r + 100 * (10 - n))\", \"N,R = map(int,input().split())\\nif(N >= 10):\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = map(int,input().split())\\n\\nif N<10:\\n  print(100*(10-N)+R)\\nelse:\\n  print (R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+(100*(10-N)))\", \"N, R = list(map(int, input().split()))\\nprint(R if N >= 10 else R + 100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+100*(10-N))\\nelse:\\n  print(R)\", \"n, r = list(map(int, input().split()))\\nif n < 10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R=map(int,input().split())\\nif N >= 10:\\n    print (R)\\nelse:\\n    print (100*(10-N)+R)\", \"n, r = list(map(int, input().split()))\\nprint((r if n >= 10 else r + 1000 - (100 * n)))\\n\", \"[N, R] = [int(i) for i in input().split()]\\nprint(R + 100*max(10-N, 0))\", \"n,r=map(int,input().split())\\nif n<10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\"]",
        "difficulty": "introductory",
        "input": "10 3141\n",
        "output": "3141\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_a"
    },
    {
        "id": 495,
        "task_id": 4367,
        "test_case_id": 7,
        "question": "Takahashi is a member of a programming competition site, ButCoder.\nEach member of ButCoder is assigned two values: Inner Rating and Displayed Rating.\nThe Displayed Rating of a member is equal to their Inner Rating if the member has participated in 10 or more contests. Otherwise, the Displayed Rating will be their Inner Rating minus 100 \\times (10 - K) when the member has participated in K contests.\nTakahashi has participated in N contests, and his Displayed Rating is R. Find his Inner Rating.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 100\n - 0 \\leq R \\leq 4111\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN R\n\n-----Output-----\nPrint his Inner Rating.\n\n-----Sample Input-----\n2 2919\n\n-----Sample Output-----\n3719\n\nTakahashi has participated in 2 contests, which is less than 10, so his Displayed Rating is his Inner Rating minus 100 \\times (10 - 2) = 800.\nThus, Takahashi's Inner Rating is 2919 + 800 = 3719.",
        "solutions": "[\"n, r = map(int, input().split())\\n\\nprint(r+100*(10-min(10, n)))\", \"n,x = list(map(int,input().split()))\\nif n >= 10:\\n  print(x)\\nelse:\\n  y = x + (10-n) * 100\\n  print(y)\\n\\n\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"n, r = map(int, input().split())\\nif n < 10:\\n  print((r + 100*(10-n)))\\nelse:\\n  print(r)\", \"n, r = list(map(int, input().split()))\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"N,R = map(int,input().split())\\nprint(R) if N>=10 else print(R+(100*(10-N)))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\nelse:\\n  print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    ans = r + (100 * (10 - n))\\n    print(ans)\\nelse: \\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n,r = map(int,input().split())\\n\\nif n < 10:\\n  print(100 * (10 - n) + r)\\nelse :\\n  print(r)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  ans=R\\nelse:\\n  ans=R+100*(10-N)\\nprint(ans)\", \"n,r=map(int,input().split())\\n \\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"N, R = map(int, input().split())\\nif N >= 10:\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = list(map(int, input().split()))\\nprint((R+100*(10-N) if N <10 else R))\\n\", \"n, r =map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+1000-100*n)\", \"import os, sys, re, math\\n\\n(N, R) = [int(n) for n in input().split()]\\n\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"N,R = map(int,input().split())\\nprint(R+100*max(0,10-N))\", \"n,r=map(int,input().split())\\nif n<10:\\n  ans=r+(100*(10-n))\\nelse:\\n  ans=r\\nprint(ans)\", \"N,R=map(int,input().split())\\nans=0;\\nif N>=10:\\n  ans+=R\\nelse:\\n  ans+=R+100*(10-N)\\nprint(ans)\", \"N, R = map(int, input().split())\\nans = R + 100*max(0, (10-N))\\nprint(ans)\", \"N , R = [int(x) for x in input().split()]\\nif N >= 10 :\\n  print(R)\\nelse:\\n  print(100*(10-N) + R)\", \"n,r = map(int,input().split())\\nprint(r+100*(10-n) if n<10 else r)\", \"N,R=map(int,input().split())\\nif N>9:\\n  print(R)\\nelse:\\n  print(R+(10-N)*100)\", \"m = input(\\\"\\\")\\nlist = m.split(\\\" \\\")\\nif eval(list[0])<10:\\n    print(eval(list[1])+100*(10-eval(list[0])))\\nif eval(list[0])>=10:\\n    print(eval(list[1]))\", \"n,r=list(map(int,input().split()))\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\\n\\n\", \"n,r = list(map(int,input().split()))\\nprint((r if n>=10 else r+(10-n)*100))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n  print(r)\\nelse:\\n  print(r + (100 * (10 - n)))\", \"n,r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"n, r = list(map(int, input().split()))\\nif n <= 10:\\n    print((r + (100 * (10 - n))))\\nelse:\\n    print(r)\\n\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n,r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100*(10-n)))\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n  ans = r\\nelse:\\n  ans = r + 100*(10-n)\\nprint(ans)\", \"n,r = list(map(int,input().split()))\\nif(n <=10):\\n  print((r-100*(n-10)))\\nelse:\\n  print(r)\\n\", \"n,k = map(int,input().split())\\nif n >= 10:\\n  print(k)\\nelse:\\n  print(k + (10 - n)* 100 )\", \"N, R = list(map(int, input().split()))\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"n,r=map(int,input().split())\\nprint([r+100*(10-n),r][n>=10])\", \"n,r = map(int,input().split())\\nif n >= 10 :\\n    print(r)\\nelse :\\n    k = n\\n    x = r+100*(10-k)\\n    print(x)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n    print(R)\\n    return\\nelse:\\n    print(R + 100 * (10 - N))\\n    return\", \"n,p = map(int,input().split())\\nif n < 10:\\n  rate = p + 100*(10-n)\\nelse:\\n  rate = p\\nprint(rate)\", \"n, r = map(int, input().split())\\nif n < 10:\\n    print(r + 100 * (10 - n))\\nelse:\\n    print(r)\", \"N,R = list(map(int,input().split()))\\n\\nif N<10:\\n  print((100*(10-N)+R))\\nelse:\\n  print (R)\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n    print(r)\\n\\nelse:\\n    a = 100 * (10 - n)\\n    b = a + r\\n    print(b)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  print(R + 100*(10-N))\", \"n,r= map(int, input().split())\\n\\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"n,r=map(int,input().split())\\n\\nprint(r) if n>=10 else print(r+100*(10-n))\\n\", \"N, R = list(map(int,input().split()))\\nif N >= 10:\\n  print(R)\\nelse:\\n  print((R + 100*(10-N)))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  R = R+100*(10-N)\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N = list(map(int,input().split()))\\nif(N[0] < 10):\\n  print(N[1]+(100*(10-N[0])))\\nelse:\\n  print(N[1])\", \"n,r = map(int,input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n, r = map(int, input().split())\\nprint(r+100*(10-n) if n < 10 else r)\", \"n,r=map(int,input().split())\\nprint(r-100*min(0,n-10))\", \"N,R=map(int, input().split())\\n\\nif N>=10:\\n    print(str(R))\\nelse:\\n    x=R+(100*(10-N))\\n    print(str(x))\", \"n, r = map(int, input().split(\\\" \\\"))\\nif  n < 10:\\n  print(r + 100 * (10 - n))\\nelse:\\n  print(r)\", \"n, r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"\\ndef main():\\n\\tn, r = list(map(int, input().split()))\\n\\tif n>= 10:\\n\\t\\treturn r\\n\\telse:\\n\\t\\treturn r + (100 * (10 -n))\\n\\t\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"n,r=map(int, input().split())\\nprint(r+100*(10-n)*(n<10))\", \"N, R = map(int,input().split())\\n\\nif N <= 9:\\n    ans = R + (1000-100*N)\\nelse:\\n    ans = R\\nprint(ans)\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+ 100 * (10 - n)))\\n\", \"n, r = map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"def resolve():\\n\\tn,r = map(int,input().split())\\n\\tprint(r if n>=10 else r+100*(10-n))\\nresolve()\", \"N,R = map(int,input().split())\\nif N <= 10:\\n  print(100 * (10 - N) + R)\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n    print(R)\\nelse:\\n    print(R+100*(10-N))\", \"N, R = map(int, input().split())\\nprint(R+max(1000-100*N, 0))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    r = r + 100*(10-n)\\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N < 10:\\n    print((100 * (10 - N)) + R)\\nelse:\\n    print(R)\", \"n,r=list(map(int,input().split()))\\nif n<10:\\n  r+=(10-n)*100\\nprint(r)\\n\", \"# coding: utf-8\\n# Your code here!\\n\\n[n,r] = input().split()\\nn = int(n)\\nr = int(r)\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    ans = r + 100*(10-n)\\n    print(ans)\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    r += 100*(10-n)\\n\\nprint(r)\", \"N,R=map(int,input().split())\\nprint(R+max(0,(100*(10-N))))\", \"N,R = map(int, input().split())\\nif N < 10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n    print(R+100*(10-N))\\nelse:\\n    print(R)\", \"#!/usr/bin/env python3\\nn,r=list(map(int,input().split()))\\nans=r\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"N,R = map(int,input().split())\\nprint((R,R +100*(10-N))[N<=10])\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\n  \\nelse:\\n  print((r + 100*(10 - n)))\\n\\n\", \"n,r=map(int,input().split())\\nif n>=10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    r = 100*(10-N)\\n    print(r+R)\", \"def main():\\n    N, R = map(int, input().split())\\n\\n    if N >= 10:\\n        print(R)\\n    else:\\n        print(R+(100*(10-N)))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"a, b = map(int, input().split())\\nif a >= 10:\\n    print(b)\\nelse:\\n    print(b+100*(10-a))\", \"N,R=list(map(int,input().split()))\\nif N>=10:\\n    print(R)\\nelse:\\n    K=10-N\\n    I=100*K\\n    print((R+I))\\n\", \"N, R = map(int, input().split())\\n\\nif N >= 10 :\\n    print(R)\\nelse :\\n    print(R + 100 * (10 - N))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n >=10:\\n  print(r)\\nelse:\\n  print(r + 100 * (10 - n))\", \"N,R = map(int,input().split())\\nif(N >= 10):\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = map(int,input().split())\\n\\nif N<10:\\n  print(100*(10-N)+R)\\nelse:\\n  print (R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+(100*(10-N)))\", \"N, R = list(map(int, input().split()))\\nprint(R if N >= 10 else R + 100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+100*(10-N))\\nelse:\\n  print(R)\", \"n, r = list(map(int, input().split()))\\nif n < 10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R=map(int,input().split())\\nif N >= 10:\\n    print (R)\\nelse:\\n    print (100*(10-N)+R)\", \"n, r = list(map(int, input().split()))\\nprint((r if n >= 10 else r + 1000 - (100 * n)))\\n\", \"[N, R] = [int(i) for i in input().split()]\\nprint(R + 100*max(10-N, 0))\", \"n,r=map(int,input().split())\\nif n<10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\"]",
        "difficulty": "introductory",
        "input": "11 3141\n",
        "output": "3141\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_a"
    },
    {
        "id": 496,
        "task_id": 4367,
        "test_case_id": 8,
        "question": "Takahashi is a member of a programming competition site, ButCoder.\nEach member of ButCoder is assigned two values: Inner Rating and Displayed Rating.\nThe Displayed Rating of a member is equal to their Inner Rating if the member has participated in 10 or more contests. Otherwise, the Displayed Rating will be their Inner Rating minus 100 \\times (10 - K) when the member has participated in K contests.\nTakahashi has participated in N contests, and his Displayed Rating is R. Find his Inner Rating.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 100\n - 0 \\leq R \\leq 4111\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN R\n\n-----Output-----\nPrint his Inner Rating.\n\n-----Sample Input-----\n2 2919\n\n-----Sample Output-----\n3719\n\nTakahashi has participated in 2 contests, which is less than 10, so his Displayed Rating is his Inner Rating minus 100 \\times (10 - 2) = 800.\nThus, Takahashi's Inner Rating is 2919 + 800 = 3719.",
        "solutions": "[\"n, r = map(int, input().split())\\n\\nprint(r+100*(10-min(10, n)))\", \"n,x = list(map(int,input().split()))\\nif n >= 10:\\n  print(x)\\nelse:\\n  y = x + (10-n) * 100\\n  print(y)\\n\\n\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"n, r = map(int, input().split())\\nif n < 10:\\n  print((r + 100*(10-n)))\\nelse:\\n  print(r)\", \"n, r = list(map(int, input().split()))\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"N,R = map(int,input().split())\\nprint(R) if N>=10 else print(R+(100*(10-N)))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\nelse:\\n  print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    ans = r + (100 * (10 - n))\\n    print(ans)\\nelse: \\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n,r = map(int,input().split())\\n\\nif n < 10:\\n  print(100 * (10 - n) + r)\\nelse :\\n  print(r)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  ans=R\\nelse:\\n  ans=R+100*(10-N)\\nprint(ans)\", \"n,r=map(int,input().split())\\n \\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"N, R = map(int, input().split())\\nif N >= 10:\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = list(map(int, input().split()))\\nprint((R+100*(10-N) if N <10 else R))\\n\", \"n, r =map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+1000-100*n)\", \"import os, sys, re, math\\n\\n(N, R) = [int(n) for n in input().split()]\\n\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"N,R = map(int,input().split())\\nprint(R+100*max(0,10-N))\", \"n,r=map(int,input().split())\\nif n<10:\\n  ans=r+(100*(10-n))\\nelse:\\n  ans=r\\nprint(ans)\", \"N,R=map(int,input().split())\\nans=0;\\nif N>=10:\\n  ans+=R\\nelse:\\n  ans+=R+100*(10-N)\\nprint(ans)\", \"N, R = map(int, input().split())\\nans = R + 100*max(0, (10-N))\\nprint(ans)\", \"N , R = [int(x) for x in input().split()]\\nif N >= 10 :\\n  print(R)\\nelse:\\n  print(100*(10-N) + R)\", \"n,r = map(int,input().split())\\nprint(r+100*(10-n) if n<10 else r)\", \"N,R=map(int,input().split())\\nif N>9:\\n  print(R)\\nelse:\\n  print(R+(10-N)*100)\", \"m = input(\\\"\\\")\\nlist = m.split(\\\" \\\")\\nif eval(list[0])<10:\\n    print(eval(list[1])+100*(10-eval(list[0])))\\nif eval(list[0])>=10:\\n    print(eval(list[1]))\", \"n,r=list(map(int,input().split()))\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\\n\\n\", \"n,r = list(map(int,input().split()))\\nprint((r if n>=10 else r+(10-n)*100))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n  print(r)\\nelse:\\n  print(r + (100 * (10 - n)))\", \"n,r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"n, r = list(map(int, input().split()))\\nif n <= 10:\\n    print((r + (100 * (10 - n))))\\nelse:\\n    print(r)\\n\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n,r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100*(10-n)))\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n  ans = r\\nelse:\\n  ans = r + 100*(10-n)\\nprint(ans)\", \"n,r = list(map(int,input().split()))\\nif(n <=10):\\n  print((r-100*(n-10)))\\nelse:\\n  print(r)\\n\", \"n,k = map(int,input().split())\\nif n >= 10:\\n  print(k)\\nelse:\\n  print(k + (10 - n)* 100 )\", \"N, R = list(map(int, input().split()))\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"n,r=map(int,input().split())\\nprint([r+100*(10-n),r][n>=10])\", \"n,r = map(int,input().split())\\nif n >= 10 :\\n    print(r)\\nelse :\\n    k = n\\n    x = r+100*(10-k)\\n    print(x)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n    print(R)\\n    return\\nelse:\\n    print(R + 100 * (10 - N))\\n    return\", \"n,p = map(int,input().split())\\nif n < 10:\\n  rate = p + 100*(10-n)\\nelse:\\n  rate = p\\nprint(rate)\", \"n, r = map(int, input().split())\\nif n < 10:\\n    print(r + 100 * (10 - n))\\nelse:\\n    print(r)\", \"N,R = list(map(int,input().split()))\\n\\nif N<10:\\n  print((100*(10-N)+R))\\nelse:\\n  print (R)\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n    print(r)\\n\\nelse:\\n    a = 100 * (10 - n)\\n    b = a + r\\n    print(b)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  print(R + 100*(10-N))\", \"n,r= map(int, input().split())\\n\\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"n,r=map(int,input().split())\\n\\nprint(r) if n>=10 else print(r+100*(10-n))\\n\", \"N, R = list(map(int,input().split()))\\nif N >= 10:\\n  print(R)\\nelse:\\n  print((R + 100*(10-N)))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  R = R+100*(10-N)\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N = list(map(int,input().split()))\\nif(N[0] < 10):\\n  print(N[1]+(100*(10-N[0])))\\nelse:\\n  print(N[1])\", \"n,r = map(int,input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n, r = map(int, input().split())\\nprint(r+100*(10-n) if n < 10 else r)\", \"n,r=map(int,input().split())\\nprint(r-100*min(0,n-10))\", \"N,R=map(int, input().split())\\n\\nif N>=10:\\n    print(str(R))\\nelse:\\n    x=R+(100*(10-N))\\n    print(str(x))\", \"n, r = map(int, input().split(\\\" \\\"))\\nif  n < 10:\\n  print(r + 100 * (10 - n))\\nelse:\\n  print(r)\", \"n, r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"\\ndef main():\\n\\tn, r = list(map(int, input().split()))\\n\\tif n>= 10:\\n\\t\\treturn r\\n\\telse:\\n\\t\\treturn r + (100 * (10 -n))\\n\\t\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"n,r=map(int, input().split())\\nprint(r+100*(10-n)*(n<10))\", \"N, R = map(int,input().split())\\n\\nif N <= 9:\\n    ans = R + (1000-100*N)\\nelse:\\n    ans = R\\nprint(ans)\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+ 100 * (10 - n)))\\n\", \"n, r = map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"def resolve():\\n\\tn,r = map(int,input().split())\\n\\tprint(r if n>=10 else r+100*(10-n))\\nresolve()\", \"N,R = map(int,input().split())\\nif N <= 10:\\n  print(100 * (10 - N) + R)\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n    print(R)\\nelse:\\n    print(R+100*(10-N))\", \"N, R = map(int, input().split())\\nprint(R+max(1000-100*N, 0))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    r = r + 100*(10-n)\\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N < 10:\\n    print((100 * (10 - N)) + R)\\nelse:\\n    print(R)\", \"n,r=list(map(int,input().split()))\\nif n<10:\\n  r+=(10-n)*100\\nprint(r)\\n\", \"# coding: utf-8\\n# Your code here!\\n\\n[n,r] = input().split()\\nn = int(n)\\nr = int(r)\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    ans = r + 100*(10-n)\\n    print(ans)\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    r += 100*(10-n)\\n\\nprint(r)\", \"N,R=map(int,input().split())\\nprint(R+max(0,(100*(10-N))))\", \"N,R = map(int, input().split())\\nif N < 10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n    print(R+100*(10-N))\\nelse:\\n    print(R)\", \"#!/usr/bin/env python3\\nn,r=list(map(int,input().split()))\\nans=r\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"N,R = map(int,input().split())\\nprint((R,R +100*(10-N))[N<=10])\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\n  \\nelse:\\n  print((r + 100*(10 - n)))\\n\\n\", \"n,r=map(int,input().split())\\nif n>=10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    r = 100*(10-N)\\n    print(r+R)\", \"def main():\\n    N, R = map(int, input().split())\\n\\n    if N >= 10:\\n        print(R)\\n    else:\\n        print(R+(100*(10-N)))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"a, b = map(int, input().split())\\nif a >= 10:\\n    print(b)\\nelse:\\n    print(b+100*(10-a))\", \"N,R=list(map(int,input().split()))\\nif N>=10:\\n    print(R)\\nelse:\\n    K=10-N\\n    I=100*K\\n    print((R+I))\\n\", \"N, R = map(int, input().split())\\n\\nif N >= 10 :\\n    print(R)\\nelse :\\n    print(R + 100 * (10 - N))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n >=10:\\n  print(r)\\nelse:\\n  print(r + 100 * (10 - n))\", \"N,R = map(int,input().split())\\nif(N >= 10):\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = map(int,input().split())\\n\\nif N<10:\\n  print(100*(10-N)+R)\\nelse:\\n  print (R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+(100*(10-N)))\", \"N, R = list(map(int, input().split()))\\nprint(R if N >= 10 else R + 100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+100*(10-N))\\nelse:\\n  print(R)\", \"n, r = list(map(int, input().split()))\\nif n < 10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R=map(int,input().split())\\nif N >= 10:\\n    print (R)\\nelse:\\n    print (100*(10-N)+R)\", \"n, r = list(map(int, input().split()))\\nprint((r if n >= 10 else r + 1000 - (100 * n)))\\n\", \"[N, R] = [int(i) for i in input().split()]\\nprint(R + 100*max(10-N, 0))\", \"n,r=map(int,input().split())\\nif n<10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\"]",
        "difficulty": "introductory",
        "input": "10 0\n",
        "output": "0\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_a"
    },
    {
        "id": 497,
        "task_id": 4367,
        "test_case_id": 9,
        "question": "Takahashi is a member of a programming competition site, ButCoder.\nEach member of ButCoder is assigned two values: Inner Rating and Displayed Rating.\nThe Displayed Rating of a member is equal to their Inner Rating if the member has participated in 10 or more contests. Otherwise, the Displayed Rating will be their Inner Rating minus 100 \\times (10 - K) when the member has participated in K contests.\nTakahashi has participated in N contests, and his Displayed Rating is R. Find his Inner Rating.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 100\n - 0 \\leq R \\leq 4111\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN R\n\n-----Output-----\nPrint his Inner Rating.\n\n-----Sample Input-----\n2 2919\n\n-----Sample Output-----\n3719\n\nTakahashi has participated in 2 contests, which is less than 10, so his Displayed Rating is his Inner Rating minus 100 \\times (10 - 2) = 800.\nThus, Takahashi's Inner Rating is 2919 + 800 = 3719.",
        "solutions": "[\"n, r = map(int, input().split())\\n\\nprint(r+100*(10-min(10, n)))\", \"n,x = list(map(int,input().split()))\\nif n >= 10:\\n  print(x)\\nelse:\\n  y = x + (10-n) * 100\\n  print(y)\\n\\n\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"n, r = map(int, input().split())\\nif n < 10:\\n  print((r + 100*(10-n)))\\nelse:\\n  print(r)\", \"n, r = list(map(int, input().split()))\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"N,R = map(int,input().split())\\nprint(R) if N>=10 else print(R+(100*(10-N)))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\nelse:\\n  print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    ans = r + (100 * (10 - n))\\n    print(ans)\\nelse: \\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n,r = map(int,input().split())\\n\\nif n < 10:\\n  print(100 * (10 - n) + r)\\nelse :\\n  print(r)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  ans=R\\nelse:\\n  ans=R+100*(10-N)\\nprint(ans)\", \"n,r=map(int,input().split())\\n \\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"N, R = map(int, input().split())\\nif N >= 10:\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = list(map(int, input().split()))\\nprint((R+100*(10-N) if N <10 else R))\\n\", \"n, r =map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+1000-100*n)\", \"import os, sys, re, math\\n\\n(N, R) = [int(n) for n in input().split()]\\n\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"N,R = map(int,input().split())\\nprint(R+100*max(0,10-N))\", \"n,r=map(int,input().split())\\nif n<10:\\n  ans=r+(100*(10-n))\\nelse:\\n  ans=r\\nprint(ans)\", \"N,R=map(int,input().split())\\nans=0;\\nif N>=10:\\n  ans+=R\\nelse:\\n  ans+=R+100*(10-N)\\nprint(ans)\", \"N, R = map(int, input().split())\\nans = R + 100*max(0, (10-N))\\nprint(ans)\", \"N , R = [int(x) for x in input().split()]\\nif N >= 10 :\\n  print(R)\\nelse:\\n  print(100*(10-N) + R)\", \"n,r = map(int,input().split())\\nprint(r+100*(10-n) if n<10 else r)\", \"N,R=map(int,input().split())\\nif N>9:\\n  print(R)\\nelse:\\n  print(R+(10-N)*100)\", \"m = input(\\\"\\\")\\nlist = m.split(\\\" \\\")\\nif eval(list[0])<10:\\n    print(eval(list[1])+100*(10-eval(list[0])))\\nif eval(list[0])>=10:\\n    print(eval(list[1]))\", \"n,r=list(map(int,input().split()))\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\\n\\n\", \"n,r = list(map(int,input().split()))\\nprint((r if n>=10 else r+(10-n)*100))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n  print(r)\\nelse:\\n  print(r + (100 * (10 - n)))\", \"n,r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"n, r = list(map(int, input().split()))\\nif n <= 10:\\n    print((r + (100 * (10 - n))))\\nelse:\\n    print(r)\\n\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n,r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100*(10-n)))\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n  ans = r\\nelse:\\n  ans = r + 100*(10-n)\\nprint(ans)\", \"n,r = list(map(int,input().split()))\\nif(n <=10):\\n  print((r-100*(n-10)))\\nelse:\\n  print(r)\\n\", \"n,k = map(int,input().split())\\nif n >= 10:\\n  print(k)\\nelse:\\n  print(k + (10 - n)* 100 )\", \"N, R = list(map(int, input().split()))\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"n,r=map(int,input().split())\\nprint([r+100*(10-n),r][n>=10])\", \"n,r = map(int,input().split())\\nif n >= 10 :\\n    print(r)\\nelse :\\n    k = n\\n    x = r+100*(10-k)\\n    print(x)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n    print(R)\\n    return\\nelse:\\n    print(R + 100 * (10 - N))\\n    return\", \"n,p = map(int,input().split())\\nif n < 10:\\n  rate = p + 100*(10-n)\\nelse:\\n  rate = p\\nprint(rate)\", \"n, r = map(int, input().split())\\nif n < 10:\\n    print(r + 100 * (10 - n))\\nelse:\\n    print(r)\", \"N,R = list(map(int,input().split()))\\n\\nif N<10:\\n  print((100*(10-N)+R))\\nelse:\\n  print (R)\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n    print(r)\\n\\nelse:\\n    a = 100 * (10 - n)\\n    b = a + r\\n    print(b)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  print(R + 100*(10-N))\", \"n,r= map(int, input().split())\\n\\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"n,r=map(int,input().split())\\n\\nprint(r) if n>=10 else print(r+100*(10-n))\\n\", \"N, R = list(map(int,input().split()))\\nif N >= 10:\\n  print(R)\\nelse:\\n  print((R + 100*(10-N)))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  R = R+100*(10-N)\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N = list(map(int,input().split()))\\nif(N[0] < 10):\\n  print(N[1]+(100*(10-N[0])))\\nelse:\\n  print(N[1])\", \"n,r = map(int,input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n, r = map(int, input().split())\\nprint(r+100*(10-n) if n < 10 else r)\", \"n,r=map(int,input().split())\\nprint(r-100*min(0,n-10))\", \"N,R=map(int, input().split())\\n\\nif N>=10:\\n    print(str(R))\\nelse:\\n    x=R+(100*(10-N))\\n    print(str(x))\", \"n, r = map(int, input().split(\\\" \\\"))\\nif  n < 10:\\n  print(r + 100 * (10 - n))\\nelse:\\n  print(r)\", \"n, r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"\\ndef main():\\n\\tn, r = list(map(int, input().split()))\\n\\tif n>= 10:\\n\\t\\treturn r\\n\\telse:\\n\\t\\treturn r + (100 * (10 -n))\\n\\t\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"n,r=map(int, input().split())\\nprint(r+100*(10-n)*(n<10))\", \"N, R = map(int,input().split())\\n\\nif N <= 9:\\n    ans = R + (1000-100*N)\\nelse:\\n    ans = R\\nprint(ans)\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+ 100 * (10 - n)))\\n\", \"n, r = map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"def resolve():\\n\\tn,r = map(int,input().split())\\n\\tprint(r if n>=10 else r+100*(10-n))\\nresolve()\", \"N,R = map(int,input().split())\\nif N <= 10:\\n  print(100 * (10 - N) + R)\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n    print(R)\\nelse:\\n    print(R+100*(10-N))\", \"N, R = map(int, input().split())\\nprint(R+max(1000-100*N, 0))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    r = r + 100*(10-n)\\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N < 10:\\n    print((100 * (10 - N)) + R)\\nelse:\\n    print(R)\", \"n,r=list(map(int,input().split()))\\nif n<10:\\n  r+=(10-n)*100\\nprint(r)\\n\", \"# coding: utf-8\\n# Your code here!\\n\\n[n,r] = input().split()\\nn = int(n)\\nr = int(r)\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    ans = r + 100*(10-n)\\n    print(ans)\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    r += 100*(10-n)\\n\\nprint(r)\", \"N,R=map(int,input().split())\\nprint(R+max(0,(100*(10-N))))\", \"N,R = map(int, input().split())\\nif N < 10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n    print(R+100*(10-N))\\nelse:\\n    print(R)\", \"#!/usr/bin/env python3\\nn,r=list(map(int,input().split()))\\nans=r\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"N,R = map(int,input().split())\\nprint((R,R +100*(10-N))[N<=10])\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\n  \\nelse:\\n  print((r + 100*(10 - n)))\\n\\n\", \"n,r=map(int,input().split())\\nif n>=10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    r = 100*(10-N)\\n    print(r+R)\", \"def main():\\n    N, R = map(int, input().split())\\n\\n    if N >= 10:\\n        print(R)\\n    else:\\n        print(R+(100*(10-N)))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"a, b = map(int, input().split())\\nif a >= 10:\\n    print(b)\\nelse:\\n    print(b+100*(10-a))\", \"N,R=list(map(int,input().split()))\\nif N>=10:\\n    print(R)\\nelse:\\n    K=10-N\\n    I=100*K\\n    print((R+I))\\n\", \"N, R = map(int, input().split())\\n\\nif N >= 10 :\\n    print(R)\\nelse :\\n    print(R + 100 * (10 - N))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n >=10:\\n  print(r)\\nelse:\\n  print(r + 100 * (10 - n))\", \"N,R = map(int,input().split())\\nif(N >= 10):\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = map(int,input().split())\\n\\nif N<10:\\n  print(100*(10-N)+R)\\nelse:\\n  print (R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+(100*(10-N)))\", \"N, R = list(map(int, input().split()))\\nprint(R if N >= 10 else R + 100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+100*(10-N))\\nelse:\\n  print(R)\", \"n, r = list(map(int, input().split()))\\nif n < 10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R=map(int,input().split())\\nif N >= 10:\\n    print (R)\\nelse:\\n    print (100*(10-N)+R)\", \"n, r = list(map(int, input().split()))\\nprint((r if n >= 10 else r + 1000 - (100 * n)))\\n\", \"[N, R] = [int(i) for i in input().split()]\\nprint(R + 100*max(10-N, 0))\", \"n,r=map(int,input().split())\\nif n<10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\"]",
        "difficulty": "introductory",
        "input": "3 1741\n",
        "output": "2441\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_a"
    },
    {
        "id": 498,
        "task_id": 4367,
        "test_case_id": 10,
        "question": "Takahashi is a member of a programming competition site, ButCoder.\nEach member of ButCoder is assigned two values: Inner Rating and Displayed Rating.\nThe Displayed Rating of a member is equal to their Inner Rating if the member has participated in 10 or more contests. Otherwise, the Displayed Rating will be their Inner Rating minus 100 \\times (10 - K) when the member has participated in K contests.\nTakahashi has participated in N contests, and his Displayed Rating is R. Find his Inner Rating.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 100\n - 0 \\leq R \\leq 4111\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN R\n\n-----Output-----\nPrint his Inner Rating.\n\n-----Sample Input-----\n2 2919\n\n-----Sample Output-----\n3719\n\nTakahashi has participated in 2 contests, which is less than 10, so his Displayed Rating is his Inner Rating minus 100 \\times (10 - 2) = 800.\nThus, Takahashi's Inner Rating is 2919 + 800 = 3719.",
        "solutions": "[\"n, r = map(int, input().split())\\n\\nprint(r+100*(10-min(10, n)))\", \"n,x = list(map(int,input().split()))\\nif n >= 10:\\n  print(x)\\nelse:\\n  y = x + (10-n) * 100\\n  print(y)\\n\\n\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"n, r = map(int, input().split())\\nif n < 10:\\n  print((r + 100*(10-n)))\\nelse:\\n  print(r)\", \"n, r = list(map(int, input().split()))\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100 * (10 - n)))\\n\", \"N,R = map(int,input().split())\\nprint(R) if N>=10 else print(R+(100*(10-N)))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\nelse:\\n  print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    ans = r + (100 * (10 - n))\\n    print(ans)\\nelse: \\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n,r = map(int,input().split())\\n\\nif n < 10:\\n  print(100 * (10 - n) + r)\\nelse :\\n  print(r)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  ans=R\\nelse:\\n  ans=R+100*(10-N)\\nprint(ans)\", \"n,r=map(int,input().split())\\n \\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"N, R = map(int, input().split())\\nif N >= 10:\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = list(map(int, input().split()))\\nprint((R+100*(10-N) if N <10 else R))\\n\", \"n, r =map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+1000-100*n)\", \"import os, sys, re, math\\n\\n(N, R) = [int(n) for n in input().split()]\\n\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"N,R = map(int,input().split())\\nprint(R+100*max(0,10-N))\", \"n,r=map(int,input().split())\\nif n<10:\\n  ans=r+(100*(10-n))\\nelse:\\n  ans=r\\nprint(ans)\", \"N,R=map(int,input().split())\\nans=0;\\nif N>=10:\\n  ans+=R\\nelse:\\n  ans+=R+100*(10-N)\\nprint(ans)\", \"N, R = map(int, input().split())\\nans = R + 100*max(0, (10-N))\\nprint(ans)\", \"N , R = [int(x) for x in input().split()]\\nif N >= 10 :\\n  print(R)\\nelse:\\n  print(100*(10-N) + R)\", \"n,r = map(int,input().split())\\nprint(r+100*(10-n) if n<10 else r)\", \"N,R=map(int,input().split())\\nif N>9:\\n  print(R)\\nelse:\\n  print(R+(10-N)*100)\", \"m = input(\\\"\\\")\\nlist = m.split(\\\" \\\")\\nif eval(list[0])<10:\\n    print(eval(list[1])+100*(10-eval(list[0])))\\nif eval(list[0])>=10:\\n    print(eval(list[1]))\", \"n,r=list(map(int,input().split()))\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\\n\\n\", \"n,r = list(map(int,input().split()))\\nprint((r if n>=10 else r+(10-n)*100))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    print(R+100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n  print(r)\\nelse:\\n  print(r + (100 * (10 - n)))\", \"n,r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"n, r = list(map(int, input().split()))\\nif n <= 10:\\n    print((r + (100 * (10 - n))))\\nelse:\\n    print(r)\\n\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+100*(10-N))\", \"n,r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r + 100*(10-n)))\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n  ans = r\\nelse:\\n  ans = r + 100*(10-n)\\nprint(ans)\", \"n,r = list(map(int,input().split()))\\nif(n <=10):\\n  print((r-100*(n-10)))\\nelse:\\n  print(r)\\n\", \"n,k = map(int,input().split())\\nif n >= 10:\\n  print(k)\\nelse:\\n  print(k + (10 - n)* 100 )\", \"N, R = list(map(int, input().split()))\\nif N >= 10:\\n    print(R)\\nelse:\\n    print((R + 100 * (10 - N)))\\n\", \"n,r=map(int,input().split())\\nprint([r+100*(10-n),r][n>=10])\", \"n,r = map(int,input().split())\\nif n >= 10 :\\n    print(r)\\nelse :\\n    k = n\\n    x = r+100*(10-k)\\n    print(x)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n    print(R)\\n    return\\nelse:\\n    print(R + 100 * (10 - N))\\n    return\", \"n,p = map(int,input().split())\\nif n < 10:\\n  rate = p + 100*(10-n)\\nelse:\\n  rate = p\\nprint(rate)\", \"n, r = map(int, input().split())\\nif n < 10:\\n    print(r + 100 * (10 - n))\\nelse:\\n    print(r)\", \"N,R = list(map(int,input().split()))\\n\\nif N<10:\\n  print((100*(10-N)+R))\\nelse:\\n  print (R)\\n\", \"n,r = map(int,input().split())\\n\\nif n >= 10:\\n    print(r)\\n\\nelse:\\n    a = 100 * (10 - n)\\n    b = a + r\\n    print(b)\", \"N, R = map(int, input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  print(R + 100*(10-N))\", \"n,r= map(int, input().split())\\n\\nif n>=10:\\n  print(r)\\nelse:\\n  print(r+100*(10-n))\", \"n,r=map(int,input().split())\\n\\nprint(r) if n>=10 else print(r+100*(10-n))\\n\", \"N, R = list(map(int,input().split()))\\nif N >= 10:\\n  print(R)\\nelse:\\n  print((R + 100*(10-N)))\\n\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n  print(R)\\nelse:\\n  R = R+100*(10-N)\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N = list(map(int,input().split()))\\nif(N[0] < 10):\\n  print(N[1]+(100*(10-N[0])))\\nelse:\\n  print(N[1])\", \"n,r = map(int,input().split())\\nprint(r if n>=10 else r+100*(10-n))\", \"n, r = map(int, input().split())\\nprint(r+100*(10-n) if n < 10 else r)\", \"n,r=map(int,input().split())\\nprint(r-100*min(0,n-10))\", \"N,R=map(int, input().split())\\n\\nif N>=10:\\n    print(str(R))\\nelse:\\n    x=R+(100*(10-N))\\n    print(str(x))\", \"n, r = map(int, input().split(\\\" \\\"))\\nif  n < 10:\\n  print(r + 100 * (10 - n))\\nelse:\\n  print(r)\", \"n, r = map(int,input().split())\\nprint(r if n >= 10 else r + 100*(10-n))\", \"\\ndef main():\\n\\tn, r = list(map(int, input().split()))\\n\\tif n>= 10:\\n\\t\\treturn r\\n\\telse:\\n\\t\\treturn r + (100 * (10 -n))\\n\\t\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"n,r=map(int, input().split())\\nprint(r+100*(10-n)*(n<10))\", \"N, R = map(int,input().split())\\n\\nif N <= 9:\\n    ans = R + (1000-100*N)\\nelse:\\n    ans = R\\nprint(ans)\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+ 100 * (10 - n)))\\n\", \"n, r = map(int,input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"def resolve():\\n\\tn,r = map(int,input().split())\\n\\tprint(r if n>=10 else r+100*(10-n))\\nresolve()\", \"N,R = map(int,input().split())\\nif N <= 10:\\n  print(100 * (10 - N) + R)\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n    print(R)\\nelse:\\n    print(R+100*(10-N))\", \"N, R = map(int, input().split())\\nprint(R+max(1000-100*N, 0))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    r = r + 100*(10-n)\\n    print(r)\", \"N, R = map(int, input().split())\\n\\nif N < 10:\\n    print((100 * (10 - N)) + R)\\nelse:\\n    print(R)\", \"n,r=list(map(int,input().split()))\\nif n<10:\\n  r+=(10-n)*100\\nprint(r)\\n\", \"# coding: utf-8\\n# Your code here!\\n\\n[n,r] = input().split()\\nn = int(n)\\nr = int(r)\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    ans = r + 100*(10-n)\\n    print(ans)\", \"n, r = map(int, input().split())\\n\\nif n < 10:\\n    r += 100*(10-n)\\n\\nprint(r)\", \"N,R=map(int,input().split())\\nprint(R+max(0,(100*(10-N))))\", \"N,R = map(int, input().split())\\nif N < 10:\\n  print(R+(100*(10-N)))\\nelse:\\n  print(R)\", \"N,R=map(int,input().split())\\nif N<10:\\n    print(R+100*(10-N))\\nelse:\\n    print(R)\", \"#!/usr/bin/env python3\\nn,r=list(map(int,input().split()))\\nans=r\\nif n>=10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"N,R = map(int,input().split())\\nprint((R,R +100*(10-N))[N<=10])\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n  print(r)\\n  \\nelse:\\n  print((r + 100*(10 - n)))\\n\\n\", \"n,r=map(int,input().split())\\nif n>=10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R = map(int,input().split())\\n\\nif N >= 10:\\n    print(R)\\n\\nelse:\\n    r = 100*(10-N)\\n    print(r+R)\", \"def main():\\n    N, R = map(int, input().split())\\n\\n    if N >= 10:\\n        print(R)\\n    else:\\n        print(R+(100*(10-N)))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"a, b = map(int, input().split())\\nif a >= 10:\\n    print(b)\\nelse:\\n    print(b+100*(10-a))\", \"N,R=list(map(int,input().split()))\\nif N>=10:\\n    print(R)\\nelse:\\n    K=10-N\\n    I=100*K\\n    print((R+I))\\n\", \"N, R = map(int, input().split())\\n\\nif N >= 10 :\\n    print(R)\\nelse :\\n    print(R + 100 * (10 - N))\", \"n, r = list(map(int, input().split()))\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print((r+100*(10-n)))\\n\", \"n, r = map(int, input().split())\\n\\nif n >=10:\\n  print(r)\\nelse:\\n  print(r + 100 * (10 - n))\", \"N,R = map(int,input().split())\\nif(N >= 10):\\n    print(R)\\nelse:\\n    print(R + 100*(10-N))\", \"N,R = map(int,input().split())\\n\\nif N<10:\\n  print(100*(10-N)+R)\\nelse:\\n  print (R)\", \"N,R=map(int,input().split())\\nif N>=10:\\n  print(R)\\nelse:\\n  print(R+(100*(10-N)))\", \"N, R = list(map(int, input().split()))\\nprint(R if N >= 10 else R + 100*(10-N))\", \"n, r = map(int, input().split())\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r + 100*(10-n))\", \"N,R=map(int,input().split())\\nif N<10:\\n  print(R+100*(10-N))\\nelse:\\n  print(R)\", \"n, r = list(map(int, input().split()))\\nif n < 10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\", \"n, r = map(int, input().split())\\n\\nif n >= 10:\\n    print(r)\\nelse:\\n    print(r+100*(10-n))\", \"N,R=map(int,input().split())\\nif N >= 10:\\n    print (R)\\nelse:\\n    print (100*(10-N)+R)\", \"n, r = list(map(int, input().split()))\\nprint((r if n >= 10 else r + 1000 - (100 * n)))\\n\", \"[N, R] = [int(i) for i in input().split()]\\nprint(R + 100*max(10-N, 0))\", \"n,r=map(int,input().split())\\nif n<10:\\n    print(r+(100*(10-n)))\\nelse:\\n    print(r)\"]",
        "difficulty": "introductory",
        "input": "7 3909\n",
        "output": "4209\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_a"
    },
    {
        "id": 499,
        "task_id": 4368,
        "test_case_id": 1,
        "question": "Given is an integer N. Find the number of digits that N has in base K.\n\n-----Notes-----\nFor information on base-K representation, see Positional notation - Wikipedia.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 10^9\n - 2 \\leq K \\leq 10\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\n\n-----Output-----\nPrint the number of digits that N has in base K.\n\n-----Sample Input-----\n11 2\n\n-----Sample Output-----\n4\n\nIn binary, 11 is represented as 1011.",
        "solutions": "[\"n, k = list(map(int, input().split()))\\nans = 0\\n\\nwhile int(n) > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"N, K = map(int, input().split())\\nn = N\\ni = 1\\n\\nwhile 1 > 0:\\n  n = n // K\\n  if n == 0:\\n    print(i)\\n    break\\n  i += 1\", \"n,k = map(int,input().split())\\nl = []\\nwhile n != 0 :\\n    r = divmod(n,k)\\n    n = r[0]\\n    l.append(r[1])\\nprint(len(l))\", \"\\nn,k = list(map(int, input().split()))\\ni=0\\na=[]\\n\\nwhile n!=0:\\n    a.append(n%k)\\n\\n    n=n//k\\n    i=i+1\\n\\nprint((len(a)))\\n\\n\\n\\n\\n\", \"N, K=map(int, input().split())\\ncount=0\\nwhile True:\\n    if N >= pow(K, count):\\n        count+=1\\n    else:break\\nprint(count)\", \"def Base_10_to_n(X, n):\\n    if (int(X/n)):\\n        return Base_10_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn, k = map(int, input().split())\\nprint(len(list(Base_10_to_n(n, k))))\", \"N,K = map(int,input().split())\\nans = 0\\nwhile(K**ans <= N):\\n    ans += 1\\nprint(ans)\", \"nk = list(map(int, input().split()))\\nn, k = nk[0], nk[1]\\ndigit = 0\\n\\nwhile n > k ** digit - 1:\\n    digit += 1\\n\\nprint(digit)\\n\", \"n, k = map(int, input().split())\\n\\nans = 1\\nwhile(True):\\n    n = n//k\\n    if(n == 0):\\n        break\\n    ans += 1\\n\\nprint(ans)\", \"import math  \\ndef findNumberOfDigits(n, b): \\n    dig = (math.floor(math.log(n) /math.log(b)) + 1) \\n    return dig\\nn, k = map(int, input().strip().split())\\nprint(findNumberOfDigits(n, k))\", \"N,K=map(int,input().split())\\ni=0\\nwhile N>=1:\\n  N//=K\\n  i+=1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\nfor a in range(10**9):\\n    if k**a > n:\\n        print(a)\\n        break\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    #print(q)\\n    #print(mod)\\n    if q <=0 :\\n        break\\nif mod_list[-1] == 0:\\n    result = len(mod_list) - 1\\nelse:\\n    result =len(mod_list)\\nprint(result)\", \"N, K = map(int, input().split())\\n\\npower = 1\\n\\nwhile True:\\n    if N < K ** power:\\n        break\\n    else:\\n        power += 1\\n\\nprint(power)\", \"from math import log\\nN, K = map(int, input().split())\\nprint(int(log(N, K))+1)\", \"\\nn, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"n, k = list(map(int, input().split()))\\n\\nfor i in range(10 ** 9):\\n    if n < k ** i:\\n        print(i)\\n        break\\n\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    if q <=0 :\\n        break\\n\\nn_ary = int(\\\"\\\".join(map(str,mod_list[::-1])))\\nprint(len(str(n_ary)))\", \"N,K=map(int,input().split())\\nans=1\\nwhile N>1:\\n    N=N//K\\n    ans+=1\\nif N%K==0:\\n    ans-=1\\nprint(ans)\", \"n, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"N, K = map(int, input().split())\\ncnt = 0\\nwhile N//K != 0:\\n  N = N//K\\n  cnt += 1\\nprint(cnt+1)\", \"N, K = list(map(int, input().split()))\\n\\ni = 1\\nwhile N // K >= 1:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\\n\", \"N,K = map(int,input().split())\\nketa = 0\\nwhile N>0:\\n  N = N//K\\n  keta = keta + 1\\n\\nprint(keta)\", \"def readinput():\\n    n,k=list(map(int,input().split()))\\n    return n,k\\n\\ndef main(n,k):\\n    keta = 0\\n    while n > 0:\\n        keta += 1\\n        r = n % k\\n        n = n // k\\n    return keta\\n\\ndef __starting_point():\\n    n,k=readinput()\\n    ans=main(n,k)\\n    print(ans)\\n\\n__starting_point()\", \"import os, sys, re, math\\n\\n(N, K) = [int(n) for n in input().split()]\\n\\nd = 0\\na = K ** 0\\nwhile a <= N:\\n    d += 1\\n    a *= K\\n\\nprint(d)\\n\", \"N,K=map(int,input().split())\\nresult=1\\nwhile N>=K:\\n  N=int(N/K)\\n  result+=1\\nprint(result)\", \"n, k = map(int, input().split())\\nans = 1\\nwhile n>=k:\\n    n = n//k\\n    ans += 1\\nprint(ans)\", \"def L():\\n  return list(map(int, input().split()))\\nimport math\\n[n,k]=L()\\n\\nprint(math.floor(math.log(n,k))+1)\", \"n, k = list(map(int, input().split()))\\nlists = []\\nans = 0\\n\\nwhile int(n) > 0:\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 1\\nwhile n // k >  0:\\n    n = n // k\\n    i += 1\\nprint(i)\", \"import math\\nn, k = map(int, input().split())\\n\\nans = 0;\\nwhile(n):\\n    n = int(n / k)\\n    ans += 1\\n\\nprint(ans)\", \"n,k=map(int,input().split())\\ntotal=[]\\n\\nwhile True:\\n    if n>=k:\\n        total.append((n%k))\\n        n=n//k\\n    if n<k:\\n        total.append((n))\\n        break\\nprint(len(total))\", \"N, K = map(int, input().split())\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n, k = map(int, input().split())\\na = 1\\nb = n\\nwhile b >= k:\\n    b = b / k\\n    a += 1\\nprint(a)\", \"def answer(n: int, k: int) -> int:\\n    digits = 0\\n    while 0 < n:\\n        n //= k\\n        digits += 1\\n\\n    return digits\\n\\n\\ndef main():\\n    n, k = map(int, input().split())\\n    print(answer(n, k))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, K = map(int, input().split())\\ni = 0\\nwhile N != 0:\\n    N //= K\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ni = 1\\ncnt = 0\\nwhile i <= n:\\n    i *= k\\n    cnt += 1\\nprint(cnt)\", \"def Base_10_to_n(X, n):\\n    if int(X/n):\\n        return Base_10_to_n(int(X/n), n) + str(X%n)\\n    return str(X%n)\\n\\nN, K = list(map(int, input().split()))\\nprint((len(Base_10_to_n(N,K))))\\n\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(1000):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"n,k = map(int,input().split())\\nketa = 1\\nwhile k ** keta <= n:\\n    keta += 1\\nprint(keta)\", \"N,K = list(map(int,input().split()))\\n\\nans = 0\\nwhile True:\\n    if not N - K**ans >= 0:\\n        print(ans)\\n        break\\n    else:\\n        ans += 1\\n\", \"N,K = map(int,input().split())\\nketa = 1\\n\\nwhile N >= K:\\n    keta += 1\\n    N = N / K\\nprint(keta)\", \"import math\\nn, k = map(int, input().split())\\nx = int(math.log(n)//math.log(k)) + 1\\nprint(x)\", \"n, k = map(int, input().split())\\ncount = 0\\nwhile n != 0:\\n  n = n//k\\n  count += 1\\nprint(count)\", \"def main():\\n\\tt, n = list(map(int, input().split()))\\n\\tbinary = 0\\n\\tctr = 0\\n\\ttemp = t  \\n#calculating binary\\n\\twhile(temp > 0):\\n\\t\\tbinary = ((temp%n)*(10**ctr)) + binary\\n\\t\\ttemp = int(temp/n)\\n\\t\\tctr += 1\\n\\treturn len(str(binary))\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"N, K = map(int, input().split())\\n\\nn = 1\\n\\nwhile N >= K**n:\\n    n += 1\\n\\nprint(n)\", \"N,K = map(int,input().split())\\nans = 0\\n\\nwhile(N>0):\\n    N= N//K\\n    ans += 1\\n\\nprint(ans)\", \"# \\u6574\\u6570N\\u3092K\\u9032\\u6570\\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nN,K = map(int,input().split())\\n\\ni = 0\\nwhile N > 0:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\n\\nwhile N >= K:\\n    N = N // K\\n    ans += 1\\n\\nprint((ans + 1))\\n\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n != 0:\\n    n //= k\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans \\n    count += 1\\n\\nprint(count)\", \"N, K = map(int, input().split())\\n# N\\u304c\\u5341\\u9032\\u6570\\u306e\\u3068\\u304d\\u3001N\\u3088\\u308aK\\u306ei\\u4e57\\u304c\\u8d85\\u3048\\u305f\\u6570\\u306e\\u3068\\u304d\\u3001\\n# i\\u304cK\\u9032\\u6570\\u306e\\u6841\\u6570\\nfor i in range(10 ** 9):\\n    if N < K ** i:\\n        print(i)\\n        break\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(100):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"N,K=map(int,input().split())\\n\\ndef ans156(N:int, K:int):\\n    length=1#0\\u6841\\u306f\\u306a\\u3044\\u305f\\u3081\\u30011\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\n    while True:\\n        if N<K:\\n            break\\n        N=int(N/K)#\\u5272\\u308a\\u5207\\u308c\\u308b\\u3054\\u3068\\u306b1\\u6841\\u305a\\u3064\\u5897\\u3048\\u3066\\u3044\\u304f\\u3002\\n        length+=1\\n    return length\\n\\nprint(ans156(N,K))\", \"n, k = map(int, input().split())\\nlists = []\\nans = 0\\n\\nwhile True:\\n    if n < k:\\n        ans += 1\\n        break\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\n# \\u6574\\u6570N \\u3092 K\\u9032\\u6570 \\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u51fa\\u529b\\n# \\u4f4d\\u53d6\\u308a\\u8a18\\u6570\\u6cd5\\uff1ahttps://xtech.nikkei.com/atcl/learning/lecture/19/00049/00001/\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n,k = map(int,input().split())\\ncnt = 0\\nwhile n//k != 0:\\n    n = n//k\\n    cnt += 1\\n\\nprint(cnt+1)\", \"def resolve():\\n\\tn,k = map(int,input().split())\\n\\tans  = 0\\n\\twhile n!=0:\\n\\t\\tn = n//k\\n\\t\\tans += 1\\n\\tprint(ans)\\nresolve()\", \"N,K=map(int,input().split())\\nrank=1\\nS=K\\n\\nwhile N>=S:\\n  rank+=1\\n  S*=K\\n#  print(S)\\n  \\nprint(rank)\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\nans=0\\nwhile N>0:\\n  N//=K\\n  ans+=1\\nprint(ans)\", \"N, K = map(int, input().split())\\ni = 0\\nwhile K ** i <= N:\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ncounter = 0\\nwhile(n >= k):\\n  n = n//k\\n  counter = counter + 1\\nprint(counter+1)\", \"N, K = map(int, input().split())\\n\\n# \\u4f59\\u308a\\u3092\\u4ed8\\u3051\\u52a0\\u3048\\u3066\\u3044\\u304f\\u6587\\u5b57\\u5217\\u3092\\u5b9a\\u7fa9\\nans_str = ''\\n\\n# \\u5272\\u308a\\u7b97\\u306e\\u5546\\u3092\\u8868\\u3059\\u5909\\u6570\\u3092\\u5b9a\\u7fa9\\nn = N\\n\\nwhile (n>=K):\\n    n = n//K\\n    ans_str += str(n%K)\\n    # print(f'n\\uff1a{n}')\\nans_str += str(n)\\n# print(ans_str[::-1])\\nprint(len(ans_str))\", \"N , K = map(int,input().split())\\n\\nD = []\\nwhile (N > 0):\\n    D.append(N % K)\\n    N = N // K\\n\\nprint(len(D))\", \"n,k=list(map(int, input().split()))\\ni=0\\nwhile True:\\n  if k**i>n:\\n    print(i)\\n    break\\n  i+=1\\n\", \"import queue\\nN,K = map(int,input().split())\\nans = queue.Queue()\\nwhile N >= K:\\n    N,amari = divmod(N,K)\\n    ans.put(amari)\\nans.put(N)\\nanswer = \\\"\\\"\\nwhile not ans.empty():\\n    answer += str(ans.get())\\nprint(len(answer))\", \"n,k = map(int, input().split())\\ncnt = 0\\nwhile n>0:\\n  cnt += 1\\n  n //= k\\nprint(cnt)\", \"N,K = map(int, input().split())\\ncount = 0\\nwhile N > 0:\\n    N //= K\\n    count += 1\\n\\nprint(count)\", \"N,K=list(map(int,input().split()))\\nanswer=1\\n\\nif K==10:\\n  Str=str(N)\\n  answer=len(Str)\\n  print(answer)\\n  return\\n\\nwhile N//K>0:\\n  N=N//K\\n  answer+=1\\n\\nprint(answer)\\n\", \"N,K = map(int,input().split())\\n\\ni = 0\\nanslist = []\\nwhile True:\\n  if N>=K:\\n    i+=1\\n    anslist.append(N%K)\\n    N = N//K\\n    #print (N)\\n  if N<K:\\n    anslist.append(N)\\n    i+=1\\n    break\\n    \\nanslist.reverse()\\n#print (anslist)\\n#print (''.join(map(str, anslist)))\\nprint (i)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans\\n    count += 1\\n\\nprint(count)\", \"n,k=map(int,input().split())\\nnum=k\\nans=1\\nwhile num-1<n:\\n    ans+=1\\n    num*=k\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\nn = 1\\nwhile True:\\n    if K ** (n - 1) <= N < K ** n:\\n        break\\n    n += 1\\n\\nprint(n)\\nreturn\", \"import math\\nn,k=list(map(int,input().split()))\\na=int(math.log(n,k))+1\\nprint(a)\\n\", \"n, k = list(map(int, input().split()))\\n\\nanswer = n // k\\ncount = 1\\nwhile 0 < answer:\\n    answer = answer // k\\n    count += 1\\n\\nprint(count)\\n\", \"n, k = map(int, input().split())\\nans = 1\\nn1 = n\\nwhile n1 // k >= 1:\\n    n1 = n1 // k\\n    ans += 1\\nprint(ans)\", \"N, K = map(int, input().split())\\nprint(sum(N >= K ** i for i in range(99)))\", \"def Ten_to_n(X, n):\\n    if (int(X/n)):\\n        return Ten_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn,k=list(map(int, input().split()))\\nprint((len(Ten_to_n(n,k))))\\n\", \"integer, base = map(int, input().split())\\nconverted_number = ''\\nwhile integer > 0:\\n    converted_number += str(integer % base)\\n    integer //= base\\nprint(len(converted_number[::-1]))\", \"n, k = map(int, input().split())\\na = 1\\nb = k\\nwhile n >= b:\\n    b = b * k\\n    a += 1\\nprint(a)\", \"def calc_digits(n: int, k: int) -> str:\\n    if int(n / k):\\n        return calc_digits(int(n / k), k) + str(n % k)\\n\\n    return str(n % k)\\n\\n\\nn, k = list(map(int, input().split()))\\n\\nprint((len(calc_digits(n, k))))\\n\", \"N,K=map(int,input().split())\\ni = 0\\nwhile N >= K ** i :\\n    i += 1\\nelse :\\n    print(i)\", \"n, k = map(int, input().split())\\n\\nm = 0\\nwhile True:\\n    m += 1\\n    if k**m > n:\\n        print(m)\\n        break\", \"n, k = map(int, input().split())\\n\\nans = []\\nwhile n > 0:\\n  ans.append(n % k)\\n  n /= k\\n  n = int(n)\\nprint(len(ans))\", \"N, K = list(map(int, input().split()))\\ncnt = 0\\nwhile N > 0:\\n    cnt += 1\\n    N //= K\\nprint(cnt)\", \"n, k = list(map(int, input().split()))\\na = 1\\nwhile n >= k ** a:\\n    a += 1\\nprint(a)\\n\\n\", \"n,k=map(int,input().split());p=[]\\nwhile n:\\n  p.append(n%k)\\n  n//=k\\nprint(len(p))\", \"def main():\\n  N, K = map(int, input().split())\\n  \\n  if N < K:\\n    print(1)\\n    return\\n\\n  cnt = 0\\n  while N > 0:\\n    N = N // K\\n    cnt += 1\\n\\n  print(cnt)\\n\\n\\nmain()\", \"n, k = list(map(int, input().split()))\\nl = []\\n\\nwhile (n > 0):\\n    l.append(n%k)\\n    n //= k\\nprint((len(l)))\\n\", \"N, K = map(int,input().split())\\ncount = 1\\nwhile N >= K:\\n    N = N // K\\n    count += 1\\nprint(count)\", \"N, K = map(int,input().split())\\nans = 1\\nwhile(N >= K):\\n    N = N//K\\n    ans += 1\\nprint(ans)\", \"def base10toK_base(num, K):\\n    if num // K:\\n        return base10toK_base(num//K, K) + str(num % K)\\n    return str(num % K)\\n\\nN, K = map(int, input().split())\\nans = len(base10toK_base(N, K))\\nprint(ans) \", \"n, k = list(map(int, input().split()))\\n\\nans = 0\\nwhile n != 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"n, k = map(int, input().split())\\nans=1\\nwhile k**ans <= n:\\n  ans += 1\\nprint(ans)\", \"n = input()\\nn = n.split()\\nk = int(n[1])\\nn = int(n[0])\\na = 1\\nb = 0\\nwhile a == 1:\\n    b = b + 1\\n    if k**b>n:\\n        a = 0\\nprint(b)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\nx = 1\\n\\nwhile x <= N:\\n  x *= K\\n  ans +=1\\n  \\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 0\\nwhile k**i <= n:\\n  i += 1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\n# k\\u306e\\u3079\\u304d\\u4e57\\u3067n\\u3092\\u8d85\\u3048\\u308b\\u6700\\u5927\\u306e\\u51aa\\u6570\\u3092\\u6c42\\u3081\\u308b\\n# \\u6700\\u5927\\u306e\\u51aa\\u6570\\u304b\\u3089\\u9806\\u306b\\u3068\\u308a\\u5c3d\\u304f\\u3057\\u3066\\u3044\\u304f\\n# \\u518d\\u5e30\\u3067\\u66f8\\u3051\\u308b\\uff1f\\n\\ndef max_beki(number, k):\\n    beki = 0\\n    while k**beki <= number:\\n        beki += 1\\n    return beki\\n\\nres = []\\nwaru_kazu = k**(max_beki(n, k) - 1)\\nwhile waru_kazu >= 1:\\n    shou = n//waru_kazu\\n    res.append(str(shou))\\n    n -= shou*waru_kazu\\n    waru_kazu /= k\\n\\nprint(len(res))\"]",
        "difficulty": "introductory",
        "input": "11 2\n",
        "output": "4\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_b"
    },
    {
        "id": 500,
        "task_id": 4368,
        "test_case_id": 2,
        "question": "Given is an integer N. Find the number of digits that N has in base K.\n\n-----Notes-----\nFor information on base-K representation, see Positional notation - Wikipedia.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 10^9\n - 2 \\leq K \\leq 10\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\n\n-----Output-----\nPrint the number of digits that N has in base K.\n\n-----Sample Input-----\n11 2\n\n-----Sample Output-----\n4\n\nIn binary, 11 is represented as 1011.",
        "solutions": "[\"n, k = list(map(int, input().split()))\\nans = 0\\n\\nwhile int(n) > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"N, K = map(int, input().split())\\nn = N\\ni = 1\\n\\nwhile 1 > 0:\\n  n = n // K\\n  if n == 0:\\n    print(i)\\n    break\\n  i += 1\", \"n,k = map(int,input().split())\\nl = []\\nwhile n != 0 :\\n    r = divmod(n,k)\\n    n = r[0]\\n    l.append(r[1])\\nprint(len(l))\", \"\\nn,k = list(map(int, input().split()))\\ni=0\\na=[]\\n\\nwhile n!=0:\\n    a.append(n%k)\\n\\n    n=n//k\\n    i=i+1\\n\\nprint((len(a)))\\n\\n\\n\\n\\n\", \"N, K=map(int, input().split())\\ncount=0\\nwhile True:\\n    if N >= pow(K, count):\\n        count+=1\\n    else:break\\nprint(count)\", \"def Base_10_to_n(X, n):\\n    if (int(X/n)):\\n        return Base_10_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn, k = map(int, input().split())\\nprint(len(list(Base_10_to_n(n, k))))\", \"N,K = map(int,input().split())\\nans = 0\\nwhile(K**ans <= N):\\n    ans += 1\\nprint(ans)\", \"nk = list(map(int, input().split()))\\nn, k = nk[0], nk[1]\\ndigit = 0\\n\\nwhile n > k ** digit - 1:\\n    digit += 1\\n\\nprint(digit)\\n\", \"n, k = map(int, input().split())\\n\\nans = 1\\nwhile(True):\\n    n = n//k\\n    if(n == 0):\\n        break\\n    ans += 1\\n\\nprint(ans)\", \"import math  \\ndef findNumberOfDigits(n, b): \\n    dig = (math.floor(math.log(n) /math.log(b)) + 1) \\n    return dig\\nn, k = map(int, input().strip().split())\\nprint(findNumberOfDigits(n, k))\", \"N,K=map(int,input().split())\\ni=0\\nwhile N>=1:\\n  N//=K\\n  i+=1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\nfor a in range(10**9):\\n    if k**a > n:\\n        print(a)\\n        break\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    #print(q)\\n    #print(mod)\\n    if q <=0 :\\n        break\\nif mod_list[-1] == 0:\\n    result = len(mod_list) - 1\\nelse:\\n    result =len(mod_list)\\nprint(result)\", \"N, K = map(int, input().split())\\n\\npower = 1\\n\\nwhile True:\\n    if N < K ** power:\\n        break\\n    else:\\n        power += 1\\n\\nprint(power)\", \"from math import log\\nN, K = map(int, input().split())\\nprint(int(log(N, K))+1)\", \"\\nn, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"n, k = list(map(int, input().split()))\\n\\nfor i in range(10 ** 9):\\n    if n < k ** i:\\n        print(i)\\n        break\\n\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    if q <=0 :\\n        break\\n\\nn_ary = int(\\\"\\\".join(map(str,mod_list[::-1])))\\nprint(len(str(n_ary)))\", \"N,K=map(int,input().split())\\nans=1\\nwhile N>1:\\n    N=N//K\\n    ans+=1\\nif N%K==0:\\n    ans-=1\\nprint(ans)\", \"n, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"N, K = map(int, input().split())\\ncnt = 0\\nwhile N//K != 0:\\n  N = N//K\\n  cnt += 1\\nprint(cnt+1)\", \"N, K = list(map(int, input().split()))\\n\\ni = 1\\nwhile N // K >= 1:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\\n\", \"N,K = map(int,input().split())\\nketa = 0\\nwhile N>0:\\n  N = N//K\\n  keta = keta + 1\\n\\nprint(keta)\", \"def readinput():\\n    n,k=list(map(int,input().split()))\\n    return n,k\\n\\ndef main(n,k):\\n    keta = 0\\n    while n > 0:\\n        keta += 1\\n        r = n % k\\n        n = n // k\\n    return keta\\n\\ndef __starting_point():\\n    n,k=readinput()\\n    ans=main(n,k)\\n    print(ans)\\n\\n__starting_point()\", \"import os, sys, re, math\\n\\n(N, K) = [int(n) for n in input().split()]\\n\\nd = 0\\na = K ** 0\\nwhile a <= N:\\n    d += 1\\n    a *= K\\n\\nprint(d)\\n\", \"N,K=map(int,input().split())\\nresult=1\\nwhile N>=K:\\n  N=int(N/K)\\n  result+=1\\nprint(result)\", \"n, k = map(int, input().split())\\nans = 1\\nwhile n>=k:\\n    n = n//k\\n    ans += 1\\nprint(ans)\", \"def L():\\n  return list(map(int, input().split()))\\nimport math\\n[n,k]=L()\\n\\nprint(math.floor(math.log(n,k))+1)\", \"n, k = list(map(int, input().split()))\\nlists = []\\nans = 0\\n\\nwhile int(n) > 0:\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 1\\nwhile n // k >  0:\\n    n = n // k\\n    i += 1\\nprint(i)\", \"import math\\nn, k = map(int, input().split())\\n\\nans = 0;\\nwhile(n):\\n    n = int(n / k)\\n    ans += 1\\n\\nprint(ans)\", \"n,k=map(int,input().split())\\ntotal=[]\\n\\nwhile True:\\n    if n>=k:\\n        total.append((n%k))\\n        n=n//k\\n    if n<k:\\n        total.append((n))\\n        break\\nprint(len(total))\", \"N, K = map(int, input().split())\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n, k = map(int, input().split())\\na = 1\\nb = n\\nwhile b >= k:\\n    b = b / k\\n    a += 1\\nprint(a)\", \"def answer(n: int, k: int) -> int:\\n    digits = 0\\n    while 0 < n:\\n        n //= k\\n        digits += 1\\n\\n    return digits\\n\\n\\ndef main():\\n    n, k = map(int, input().split())\\n    print(answer(n, k))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, K = map(int, input().split())\\ni = 0\\nwhile N != 0:\\n    N //= K\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ni = 1\\ncnt = 0\\nwhile i <= n:\\n    i *= k\\n    cnt += 1\\nprint(cnt)\", \"def Base_10_to_n(X, n):\\n    if int(X/n):\\n        return Base_10_to_n(int(X/n), n) + str(X%n)\\n    return str(X%n)\\n\\nN, K = list(map(int, input().split()))\\nprint((len(Base_10_to_n(N,K))))\\n\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(1000):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"n,k = map(int,input().split())\\nketa = 1\\nwhile k ** keta <= n:\\n    keta += 1\\nprint(keta)\", \"N,K = list(map(int,input().split()))\\n\\nans = 0\\nwhile True:\\n    if not N - K**ans >= 0:\\n        print(ans)\\n        break\\n    else:\\n        ans += 1\\n\", \"N,K = map(int,input().split())\\nketa = 1\\n\\nwhile N >= K:\\n    keta += 1\\n    N = N / K\\nprint(keta)\", \"import math\\nn, k = map(int, input().split())\\nx = int(math.log(n)//math.log(k)) + 1\\nprint(x)\", \"n, k = map(int, input().split())\\ncount = 0\\nwhile n != 0:\\n  n = n//k\\n  count += 1\\nprint(count)\", \"def main():\\n\\tt, n = list(map(int, input().split()))\\n\\tbinary = 0\\n\\tctr = 0\\n\\ttemp = t  \\n#calculating binary\\n\\twhile(temp > 0):\\n\\t\\tbinary = ((temp%n)*(10**ctr)) + binary\\n\\t\\ttemp = int(temp/n)\\n\\t\\tctr += 1\\n\\treturn len(str(binary))\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"N, K = map(int, input().split())\\n\\nn = 1\\n\\nwhile N >= K**n:\\n    n += 1\\n\\nprint(n)\", \"N,K = map(int,input().split())\\nans = 0\\n\\nwhile(N>0):\\n    N= N//K\\n    ans += 1\\n\\nprint(ans)\", \"# \\u6574\\u6570N\\u3092K\\u9032\\u6570\\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nN,K = map(int,input().split())\\n\\ni = 0\\nwhile N > 0:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\n\\nwhile N >= K:\\n    N = N // K\\n    ans += 1\\n\\nprint((ans + 1))\\n\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n != 0:\\n    n //= k\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans \\n    count += 1\\n\\nprint(count)\", \"N, K = map(int, input().split())\\n# N\\u304c\\u5341\\u9032\\u6570\\u306e\\u3068\\u304d\\u3001N\\u3088\\u308aK\\u306ei\\u4e57\\u304c\\u8d85\\u3048\\u305f\\u6570\\u306e\\u3068\\u304d\\u3001\\n# i\\u304cK\\u9032\\u6570\\u306e\\u6841\\u6570\\nfor i in range(10 ** 9):\\n    if N < K ** i:\\n        print(i)\\n        break\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(100):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"N,K=map(int,input().split())\\n\\ndef ans156(N:int, K:int):\\n    length=1#0\\u6841\\u306f\\u306a\\u3044\\u305f\\u3081\\u30011\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\n    while True:\\n        if N<K:\\n            break\\n        N=int(N/K)#\\u5272\\u308a\\u5207\\u308c\\u308b\\u3054\\u3068\\u306b1\\u6841\\u305a\\u3064\\u5897\\u3048\\u3066\\u3044\\u304f\\u3002\\n        length+=1\\n    return length\\n\\nprint(ans156(N,K))\", \"n, k = map(int, input().split())\\nlists = []\\nans = 0\\n\\nwhile True:\\n    if n < k:\\n        ans += 1\\n        break\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\n# \\u6574\\u6570N \\u3092 K\\u9032\\u6570 \\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u51fa\\u529b\\n# \\u4f4d\\u53d6\\u308a\\u8a18\\u6570\\u6cd5\\uff1ahttps://xtech.nikkei.com/atcl/learning/lecture/19/00049/00001/\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n,k = map(int,input().split())\\ncnt = 0\\nwhile n//k != 0:\\n    n = n//k\\n    cnt += 1\\n\\nprint(cnt+1)\", \"def resolve():\\n\\tn,k = map(int,input().split())\\n\\tans  = 0\\n\\twhile n!=0:\\n\\t\\tn = n//k\\n\\t\\tans += 1\\n\\tprint(ans)\\nresolve()\", \"N,K=map(int,input().split())\\nrank=1\\nS=K\\n\\nwhile N>=S:\\n  rank+=1\\n  S*=K\\n#  print(S)\\n  \\nprint(rank)\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\nans=0\\nwhile N>0:\\n  N//=K\\n  ans+=1\\nprint(ans)\", \"N, K = map(int, input().split())\\ni = 0\\nwhile K ** i <= N:\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ncounter = 0\\nwhile(n >= k):\\n  n = n//k\\n  counter = counter + 1\\nprint(counter+1)\", \"N, K = map(int, input().split())\\n\\n# \\u4f59\\u308a\\u3092\\u4ed8\\u3051\\u52a0\\u3048\\u3066\\u3044\\u304f\\u6587\\u5b57\\u5217\\u3092\\u5b9a\\u7fa9\\nans_str = ''\\n\\n# \\u5272\\u308a\\u7b97\\u306e\\u5546\\u3092\\u8868\\u3059\\u5909\\u6570\\u3092\\u5b9a\\u7fa9\\nn = N\\n\\nwhile (n>=K):\\n    n = n//K\\n    ans_str += str(n%K)\\n    # print(f'n\\uff1a{n}')\\nans_str += str(n)\\n# print(ans_str[::-1])\\nprint(len(ans_str))\", \"N , K = map(int,input().split())\\n\\nD = []\\nwhile (N > 0):\\n    D.append(N % K)\\n    N = N // K\\n\\nprint(len(D))\", \"n,k=list(map(int, input().split()))\\ni=0\\nwhile True:\\n  if k**i>n:\\n    print(i)\\n    break\\n  i+=1\\n\", \"import queue\\nN,K = map(int,input().split())\\nans = queue.Queue()\\nwhile N >= K:\\n    N,amari = divmod(N,K)\\n    ans.put(amari)\\nans.put(N)\\nanswer = \\\"\\\"\\nwhile not ans.empty():\\n    answer += str(ans.get())\\nprint(len(answer))\", \"n,k = map(int, input().split())\\ncnt = 0\\nwhile n>0:\\n  cnt += 1\\n  n //= k\\nprint(cnt)\", \"N,K = map(int, input().split())\\ncount = 0\\nwhile N > 0:\\n    N //= K\\n    count += 1\\n\\nprint(count)\", \"N,K=list(map(int,input().split()))\\nanswer=1\\n\\nif K==10:\\n  Str=str(N)\\n  answer=len(Str)\\n  print(answer)\\n  return\\n\\nwhile N//K>0:\\n  N=N//K\\n  answer+=1\\n\\nprint(answer)\\n\", \"N,K = map(int,input().split())\\n\\ni = 0\\nanslist = []\\nwhile True:\\n  if N>=K:\\n    i+=1\\n    anslist.append(N%K)\\n    N = N//K\\n    #print (N)\\n  if N<K:\\n    anslist.append(N)\\n    i+=1\\n    break\\n    \\nanslist.reverse()\\n#print (anslist)\\n#print (''.join(map(str, anslist)))\\nprint (i)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans\\n    count += 1\\n\\nprint(count)\", \"n,k=map(int,input().split())\\nnum=k\\nans=1\\nwhile num-1<n:\\n    ans+=1\\n    num*=k\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\nn = 1\\nwhile True:\\n    if K ** (n - 1) <= N < K ** n:\\n        break\\n    n += 1\\n\\nprint(n)\\nreturn\", \"import math\\nn,k=list(map(int,input().split()))\\na=int(math.log(n,k))+1\\nprint(a)\\n\", \"n, k = list(map(int, input().split()))\\n\\nanswer = n // k\\ncount = 1\\nwhile 0 < answer:\\n    answer = answer // k\\n    count += 1\\n\\nprint(count)\\n\", \"n, k = map(int, input().split())\\nans = 1\\nn1 = n\\nwhile n1 // k >= 1:\\n    n1 = n1 // k\\n    ans += 1\\nprint(ans)\", \"N, K = map(int, input().split())\\nprint(sum(N >= K ** i for i in range(99)))\", \"def Ten_to_n(X, n):\\n    if (int(X/n)):\\n        return Ten_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn,k=list(map(int, input().split()))\\nprint((len(Ten_to_n(n,k))))\\n\", \"integer, base = map(int, input().split())\\nconverted_number = ''\\nwhile integer > 0:\\n    converted_number += str(integer % base)\\n    integer //= base\\nprint(len(converted_number[::-1]))\", \"n, k = map(int, input().split())\\na = 1\\nb = k\\nwhile n >= b:\\n    b = b * k\\n    a += 1\\nprint(a)\", \"def calc_digits(n: int, k: int) -> str:\\n    if int(n / k):\\n        return calc_digits(int(n / k), k) + str(n % k)\\n\\n    return str(n % k)\\n\\n\\nn, k = list(map(int, input().split()))\\n\\nprint((len(calc_digits(n, k))))\\n\", \"N,K=map(int,input().split())\\ni = 0\\nwhile N >= K ** i :\\n    i += 1\\nelse :\\n    print(i)\", \"n, k = map(int, input().split())\\n\\nm = 0\\nwhile True:\\n    m += 1\\n    if k**m > n:\\n        print(m)\\n        break\", \"n, k = map(int, input().split())\\n\\nans = []\\nwhile n > 0:\\n  ans.append(n % k)\\n  n /= k\\n  n = int(n)\\nprint(len(ans))\", \"N, K = list(map(int, input().split()))\\ncnt = 0\\nwhile N > 0:\\n    cnt += 1\\n    N //= K\\nprint(cnt)\", \"n, k = list(map(int, input().split()))\\na = 1\\nwhile n >= k ** a:\\n    a += 1\\nprint(a)\\n\\n\", \"n,k=map(int,input().split());p=[]\\nwhile n:\\n  p.append(n%k)\\n  n//=k\\nprint(len(p))\", \"def main():\\n  N, K = map(int, input().split())\\n  \\n  if N < K:\\n    print(1)\\n    return\\n\\n  cnt = 0\\n  while N > 0:\\n    N = N // K\\n    cnt += 1\\n\\n  print(cnt)\\n\\n\\nmain()\", \"n, k = list(map(int, input().split()))\\nl = []\\n\\nwhile (n > 0):\\n    l.append(n%k)\\n    n //= k\\nprint((len(l)))\\n\", \"N, K = map(int,input().split())\\ncount = 1\\nwhile N >= K:\\n    N = N // K\\n    count += 1\\nprint(count)\", \"N, K = map(int,input().split())\\nans = 1\\nwhile(N >= K):\\n    N = N//K\\n    ans += 1\\nprint(ans)\", \"def base10toK_base(num, K):\\n    if num // K:\\n        return base10toK_base(num//K, K) + str(num % K)\\n    return str(num % K)\\n\\nN, K = map(int, input().split())\\nans = len(base10toK_base(N, K))\\nprint(ans) \", \"n, k = list(map(int, input().split()))\\n\\nans = 0\\nwhile n != 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"n, k = map(int, input().split())\\nans=1\\nwhile k**ans <= n:\\n  ans += 1\\nprint(ans)\", \"n = input()\\nn = n.split()\\nk = int(n[1])\\nn = int(n[0])\\na = 1\\nb = 0\\nwhile a == 1:\\n    b = b + 1\\n    if k**b>n:\\n        a = 0\\nprint(b)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\nx = 1\\n\\nwhile x <= N:\\n  x *= K\\n  ans +=1\\n  \\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 0\\nwhile k**i <= n:\\n  i += 1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\n# k\\u306e\\u3079\\u304d\\u4e57\\u3067n\\u3092\\u8d85\\u3048\\u308b\\u6700\\u5927\\u306e\\u51aa\\u6570\\u3092\\u6c42\\u3081\\u308b\\n# \\u6700\\u5927\\u306e\\u51aa\\u6570\\u304b\\u3089\\u9806\\u306b\\u3068\\u308a\\u5c3d\\u304f\\u3057\\u3066\\u3044\\u304f\\n# \\u518d\\u5e30\\u3067\\u66f8\\u3051\\u308b\\uff1f\\n\\ndef max_beki(number, k):\\n    beki = 0\\n    while k**beki <= number:\\n        beki += 1\\n    return beki\\n\\nres = []\\nwaru_kazu = k**(max_beki(n, k) - 1)\\nwhile waru_kazu >= 1:\\n    shou = n//waru_kazu\\n    res.append(str(shou))\\n    n -= shou*waru_kazu\\n    waru_kazu /= k\\n\\nprint(len(res))\"]",
        "difficulty": "introductory",
        "input": "1010101 10\n",
        "output": "7\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_b"
    },
    {
        "id": 501,
        "task_id": 4368,
        "test_case_id": 3,
        "question": "Given is an integer N. Find the number of digits that N has in base K.\n\n-----Notes-----\nFor information on base-K representation, see Positional notation - Wikipedia.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 10^9\n - 2 \\leq K \\leq 10\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\n\n-----Output-----\nPrint the number of digits that N has in base K.\n\n-----Sample Input-----\n11 2\n\n-----Sample Output-----\n4\n\nIn binary, 11 is represented as 1011.",
        "solutions": "[\"n, k = list(map(int, input().split()))\\nans = 0\\n\\nwhile int(n) > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"N, K = map(int, input().split())\\nn = N\\ni = 1\\n\\nwhile 1 > 0:\\n  n = n // K\\n  if n == 0:\\n    print(i)\\n    break\\n  i += 1\", \"n,k = map(int,input().split())\\nl = []\\nwhile n != 0 :\\n    r = divmod(n,k)\\n    n = r[0]\\n    l.append(r[1])\\nprint(len(l))\", \"\\nn,k = list(map(int, input().split()))\\ni=0\\na=[]\\n\\nwhile n!=0:\\n    a.append(n%k)\\n\\n    n=n//k\\n    i=i+1\\n\\nprint((len(a)))\\n\\n\\n\\n\\n\", \"N, K=map(int, input().split())\\ncount=0\\nwhile True:\\n    if N >= pow(K, count):\\n        count+=1\\n    else:break\\nprint(count)\", \"def Base_10_to_n(X, n):\\n    if (int(X/n)):\\n        return Base_10_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn, k = map(int, input().split())\\nprint(len(list(Base_10_to_n(n, k))))\", \"N,K = map(int,input().split())\\nans = 0\\nwhile(K**ans <= N):\\n    ans += 1\\nprint(ans)\", \"nk = list(map(int, input().split()))\\nn, k = nk[0], nk[1]\\ndigit = 0\\n\\nwhile n > k ** digit - 1:\\n    digit += 1\\n\\nprint(digit)\\n\", \"n, k = map(int, input().split())\\n\\nans = 1\\nwhile(True):\\n    n = n//k\\n    if(n == 0):\\n        break\\n    ans += 1\\n\\nprint(ans)\", \"import math  \\ndef findNumberOfDigits(n, b): \\n    dig = (math.floor(math.log(n) /math.log(b)) + 1) \\n    return dig\\nn, k = map(int, input().strip().split())\\nprint(findNumberOfDigits(n, k))\", \"N,K=map(int,input().split())\\ni=0\\nwhile N>=1:\\n  N//=K\\n  i+=1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\nfor a in range(10**9):\\n    if k**a > n:\\n        print(a)\\n        break\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    #print(q)\\n    #print(mod)\\n    if q <=0 :\\n        break\\nif mod_list[-1] == 0:\\n    result = len(mod_list) - 1\\nelse:\\n    result =len(mod_list)\\nprint(result)\", \"N, K = map(int, input().split())\\n\\npower = 1\\n\\nwhile True:\\n    if N < K ** power:\\n        break\\n    else:\\n        power += 1\\n\\nprint(power)\", \"from math import log\\nN, K = map(int, input().split())\\nprint(int(log(N, K))+1)\", \"\\nn, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"n, k = list(map(int, input().split()))\\n\\nfor i in range(10 ** 9):\\n    if n < k ** i:\\n        print(i)\\n        break\\n\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    if q <=0 :\\n        break\\n\\nn_ary = int(\\\"\\\".join(map(str,mod_list[::-1])))\\nprint(len(str(n_ary)))\", \"N,K=map(int,input().split())\\nans=1\\nwhile N>1:\\n    N=N//K\\n    ans+=1\\nif N%K==0:\\n    ans-=1\\nprint(ans)\", \"n, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"N, K = map(int, input().split())\\ncnt = 0\\nwhile N//K != 0:\\n  N = N//K\\n  cnt += 1\\nprint(cnt+1)\", \"N, K = list(map(int, input().split()))\\n\\ni = 1\\nwhile N // K >= 1:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\\n\", \"N,K = map(int,input().split())\\nketa = 0\\nwhile N>0:\\n  N = N//K\\n  keta = keta + 1\\n\\nprint(keta)\", \"def readinput():\\n    n,k=list(map(int,input().split()))\\n    return n,k\\n\\ndef main(n,k):\\n    keta = 0\\n    while n > 0:\\n        keta += 1\\n        r = n % k\\n        n = n // k\\n    return keta\\n\\ndef __starting_point():\\n    n,k=readinput()\\n    ans=main(n,k)\\n    print(ans)\\n\\n__starting_point()\", \"import os, sys, re, math\\n\\n(N, K) = [int(n) for n in input().split()]\\n\\nd = 0\\na = K ** 0\\nwhile a <= N:\\n    d += 1\\n    a *= K\\n\\nprint(d)\\n\", \"N,K=map(int,input().split())\\nresult=1\\nwhile N>=K:\\n  N=int(N/K)\\n  result+=1\\nprint(result)\", \"n, k = map(int, input().split())\\nans = 1\\nwhile n>=k:\\n    n = n//k\\n    ans += 1\\nprint(ans)\", \"def L():\\n  return list(map(int, input().split()))\\nimport math\\n[n,k]=L()\\n\\nprint(math.floor(math.log(n,k))+1)\", \"n, k = list(map(int, input().split()))\\nlists = []\\nans = 0\\n\\nwhile int(n) > 0:\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 1\\nwhile n // k >  0:\\n    n = n // k\\n    i += 1\\nprint(i)\", \"import math\\nn, k = map(int, input().split())\\n\\nans = 0;\\nwhile(n):\\n    n = int(n / k)\\n    ans += 1\\n\\nprint(ans)\", \"n,k=map(int,input().split())\\ntotal=[]\\n\\nwhile True:\\n    if n>=k:\\n        total.append((n%k))\\n        n=n//k\\n    if n<k:\\n        total.append((n))\\n        break\\nprint(len(total))\", \"N, K = map(int, input().split())\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n, k = map(int, input().split())\\na = 1\\nb = n\\nwhile b >= k:\\n    b = b / k\\n    a += 1\\nprint(a)\", \"def answer(n: int, k: int) -> int:\\n    digits = 0\\n    while 0 < n:\\n        n //= k\\n        digits += 1\\n\\n    return digits\\n\\n\\ndef main():\\n    n, k = map(int, input().split())\\n    print(answer(n, k))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, K = map(int, input().split())\\ni = 0\\nwhile N != 0:\\n    N //= K\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ni = 1\\ncnt = 0\\nwhile i <= n:\\n    i *= k\\n    cnt += 1\\nprint(cnt)\", \"def Base_10_to_n(X, n):\\n    if int(X/n):\\n        return Base_10_to_n(int(X/n), n) + str(X%n)\\n    return str(X%n)\\n\\nN, K = list(map(int, input().split()))\\nprint((len(Base_10_to_n(N,K))))\\n\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(1000):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"n,k = map(int,input().split())\\nketa = 1\\nwhile k ** keta <= n:\\n    keta += 1\\nprint(keta)\", \"N,K = list(map(int,input().split()))\\n\\nans = 0\\nwhile True:\\n    if not N - K**ans >= 0:\\n        print(ans)\\n        break\\n    else:\\n        ans += 1\\n\", \"N,K = map(int,input().split())\\nketa = 1\\n\\nwhile N >= K:\\n    keta += 1\\n    N = N / K\\nprint(keta)\", \"import math\\nn, k = map(int, input().split())\\nx = int(math.log(n)//math.log(k)) + 1\\nprint(x)\", \"n, k = map(int, input().split())\\ncount = 0\\nwhile n != 0:\\n  n = n//k\\n  count += 1\\nprint(count)\", \"def main():\\n\\tt, n = list(map(int, input().split()))\\n\\tbinary = 0\\n\\tctr = 0\\n\\ttemp = t  \\n#calculating binary\\n\\twhile(temp > 0):\\n\\t\\tbinary = ((temp%n)*(10**ctr)) + binary\\n\\t\\ttemp = int(temp/n)\\n\\t\\tctr += 1\\n\\treturn len(str(binary))\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"N, K = map(int, input().split())\\n\\nn = 1\\n\\nwhile N >= K**n:\\n    n += 1\\n\\nprint(n)\", \"N,K = map(int,input().split())\\nans = 0\\n\\nwhile(N>0):\\n    N= N//K\\n    ans += 1\\n\\nprint(ans)\", \"# \\u6574\\u6570N\\u3092K\\u9032\\u6570\\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nN,K = map(int,input().split())\\n\\ni = 0\\nwhile N > 0:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\n\\nwhile N >= K:\\n    N = N // K\\n    ans += 1\\n\\nprint((ans + 1))\\n\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n != 0:\\n    n //= k\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans \\n    count += 1\\n\\nprint(count)\", \"N, K = map(int, input().split())\\n# N\\u304c\\u5341\\u9032\\u6570\\u306e\\u3068\\u304d\\u3001N\\u3088\\u308aK\\u306ei\\u4e57\\u304c\\u8d85\\u3048\\u305f\\u6570\\u306e\\u3068\\u304d\\u3001\\n# i\\u304cK\\u9032\\u6570\\u306e\\u6841\\u6570\\nfor i in range(10 ** 9):\\n    if N < K ** i:\\n        print(i)\\n        break\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(100):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"N,K=map(int,input().split())\\n\\ndef ans156(N:int, K:int):\\n    length=1#0\\u6841\\u306f\\u306a\\u3044\\u305f\\u3081\\u30011\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\n    while True:\\n        if N<K:\\n            break\\n        N=int(N/K)#\\u5272\\u308a\\u5207\\u308c\\u308b\\u3054\\u3068\\u306b1\\u6841\\u305a\\u3064\\u5897\\u3048\\u3066\\u3044\\u304f\\u3002\\n        length+=1\\n    return length\\n\\nprint(ans156(N,K))\", \"n, k = map(int, input().split())\\nlists = []\\nans = 0\\n\\nwhile True:\\n    if n < k:\\n        ans += 1\\n        break\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\n# \\u6574\\u6570N \\u3092 K\\u9032\\u6570 \\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u51fa\\u529b\\n# \\u4f4d\\u53d6\\u308a\\u8a18\\u6570\\u6cd5\\uff1ahttps://xtech.nikkei.com/atcl/learning/lecture/19/00049/00001/\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n,k = map(int,input().split())\\ncnt = 0\\nwhile n//k != 0:\\n    n = n//k\\n    cnt += 1\\n\\nprint(cnt+1)\", \"def resolve():\\n\\tn,k = map(int,input().split())\\n\\tans  = 0\\n\\twhile n!=0:\\n\\t\\tn = n//k\\n\\t\\tans += 1\\n\\tprint(ans)\\nresolve()\", \"N,K=map(int,input().split())\\nrank=1\\nS=K\\n\\nwhile N>=S:\\n  rank+=1\\n  S*=K\\n#  print(S)\\n  \\nprint(rank)\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\nans=0\\nwhile N>0:\\n  N//=K\\n  ans+=1\\nprint(ans)\", \"N, K = map(int, input().split())\\ni = 0\\nwhile K ** i <= N:\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ncounter = 0\\nwhile(n >= k):\\n  n = n//k\\n  counter = counter + 1\\nprint(counter+1)\", \"N, K = map(int, input().split())\\n\\n# \\u4f59\\u308a\\u3092\\u4ed8\\u3051\\u52a0\\u3048\\u3066\\u3044\\u304f\\u6587\\u5b57\\u5217\\u3092\\u5b9a\\u7fa9\\nans_str = ''\\n\\n# \\u5272\\u308a\\u7b97\\u306e\\u5546\\u3092\\u8868\\u3059\\u5909\\u6570\\u3092\\u5b9a\\u7fa9\\nn = N\\n\\nwhile (n>=K):\\n    n = n//K\\n    ans_str += str(n%K)\\n    # print(f'n\\uff1a{n}')\\nans_str += str(n)\\n# print(ans_str[::-1])\\nprint(len(ans_str))\", \"N , K = map(int,input().split())\\n\\nD = []\\nwhile (N > 0):\\n    D.append(N % K)\\n    N = N // K\\n\\nprint(len(D))\", \"n,k=list(map(int, input().split()))\\ni=0\\nwhile True:\\n  if k**i>n:\\n    print(i)\\n    break\\n  i+=1\\n\", \"import queue\\nN,K = map(int,input().split())\\nans = queue.Queue()\\nwhile N >= K:\\n    N,amari = divmod(N,K)\\n    ans.put(amari)\\nans.put(N)\\nanswer = \\\"\\\"\\nwhile not ans.empty():\\n    answer += str(ans.get())\\nprint(len(answer))\", \"n,k = map(int, input().split())\\ncnt = 0\\nwhile n>0:\\n  cnt += 1\\n  n //= k\\nprint(cnt)\", \"N,K = map(int, input().split())\\ncount = 0\\nwhile N > 0:\\n    N //= K\\n    count += 1\\n\\nprint(count)\", \"N,K=list(map(int,input().split()))\\nanswer=1\\n\\nif K==10:\\n  Str=str(N)\\n  answer=len(Str)\\n  print(answer)\\n  return\\n\\nwhile N//K>0:\\n  N=N//K\\n  answer+=1\\n\\nprint(answer)\\n\", \"N,K = map(int,input().split())\\n\\ni = 0\\nanslist = []\\nwhile True:\\n  if N>=K:\\n    i+=1\\n    anslist.append(N%K)\\n    N = N//K\\n    #print (N)\\n  if N<K:\\n    anslist.append(N)\\n    i+=1\\n    break\\n    \\nanslist.reverse()\\n#print (anslist)\\n#print (''.join(map(str, anslist)))\\nprint (i)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans\\n    count += 1\\n\\nprint(count)\", \"n,k=map(int,input().split())\\nnum=k\\nans=1\\nwhile num-1<n:\\n    ans+=1\\n    num*=k\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\nn = 1\\nwhile True:\\n    if K ** (n - 1) <= N < K ** n:\\n        break\\n    n += 1\\n\\nprint(n)\\nreturn\", \"import math\\nn,k=list(map(int,input().split()))\\na=int(math.log(n,k))+1\\nprint(a)\\n\", \"n, k = list(map(int, input().split()))\\n\\nanswer = n // k\\ncount = 1\\nwhile 0 < answer:\\n    answer = answer // k\\n    count += 1\\n\\nprint(count)\\n\", \"n, k = map(int, input().split())\\nans = 1\\nn1 = n\\nwhile n1 // k >= 1:\\n    n1 = n1 // k\\n    ans += 1\\nprint(ans)\", \"N, K = map(int, input().split())\\nprint(sum(N >= K ** i for i in range(99)))\", \"def Ten_to_n(X, n):\\n    if (int(X/n)):\\n        return Ten_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn,k=list(map(int, input().split()))\\nprint((len(Ten_to_n(n,k))))\\n\", \"integer, base = map(int, input().split())\\nconverted_number = ''\\nwhile integer > 0:\\n    converted_number += str(integer % base)\\n    integer //= base\\nprint(len(converted_number[::-1]))\", \"n, k = map(int, input().split())\\na = 1\\nb = k\\nwhile n >= b:\\n    b = b * k\\n    a += 1\\nprint(a)\", \"def calc_digits(n: int, k: int) -> str:\\n    if int(n / k):\\n        return calc_digits(int(n / k), k) + str(n % k)\\n\\n    return str(n % k)\\n\\n\\nn, k = list(map(int, input().split()))\\n\\nprint((len(calc_digits(n, k))))\\n\", \"N,K=map(int,input().split())\\ni = 0\\nwhile N >= K ** i :\\n    i += 1\\nelse :\\n    print(i)\", \"n, k = map(int, input().split())\\n\\nm = 0\\nwhile True:\\n    m += 1\\n    if k**m > n:\\n        print(m)\\n        break\", \"n, k = map(int, input().split())\\n\\nans = []\\nwhile n > 0:\\n  ans.append(n % k)\\n  n /= k\\n  n = int(n)\\nprint(len(ans))\", \"N, K = list(map(int, input().split()))\\ncnt = 0\\nwhile N > 0:\\n    cnt += 1\\n    N //= K\\nprint(cnt)\", \"n, k = list(map(int, input().split()))\\na = 1\\nwhile n >= k ** a:\\n    a += 1\\nprint(a)\\n\\n\", \"n,k=map(int,input().split());p=[]\\nwhile n:\\n  p.append(n%k)\\n  n//=k\\nprint(len(p))\", \"def main():\\n  N, K = map(int, input().split())\\n  \\n  if N < K:\\n    print(1)\\n    return\\n\\n  cnt = 0\\n  while N > 0:\\n    N = N // K\\n    cnt += 1\\n\\n  print(cnt)\\n\\n\\nmain()\", \"n, k = list(map(int, input().split()))\\nl = []\\n\\nwhile (n > 0):\\n    l.append(n%k)\\n    n //= k\\nprint((len(l)))\\n\", \"N, K = map(int,input().split())\\ncount = 1\\nwhile N >= K:\\n    N = N // K\\n    count += 1\\nprint(count)\", \"N, K = map(int,input().split())\\nans = 1\\nwhile(N >= K):\\n    N = N//K\\n    ans += 1\\nprint(ans)\", \"def base10toK_base(num, K):\\n    if num // K:\\n        return base10toK_base(num//K, K) + str(num % K)\\n    return str(num % K)\\n\\nN, K = map(int, input().split())\\nans = len(base10toK_base(N, K))\\nprint(ans) \", \"n, k = list(map(int, input().split()))\\n\\nans = 0\\nwhile n != 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"n, k = map(int, input().split())\\nans=1\\nwhile k**ans <= n:\\n  ans += 1\\nprint(ans)\", \"n = input()\\nn = n.split()\\nk = int(n[1])\\nn = int(n[0])\\na = 1\\nb = 0\\nwhile a == 1:\\n    b = b + 1\\n    if k**b>n:\\n        a = 0\\nprint(b)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\nx = 1\\n\\nwhile x <= N:\\n  x *= K\\n  ans +=1\\n  \\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 0\\nwhile k**i <= n:\\n  i += 1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\n# k\\u306e\\u3079\\u304d\\u4e57\\u3067n\\u3092\\u8d85\\u3048\\u308b\\u6700\\u5927\\u306e\\u51aa\\u6570\\u3092\\u6c42\\u3081\\u308b\\n# \\u6700\\u5927\\u306e\\u51aa\\u6570\\u304b\\u3089\\u9806\\u306b\\u3068\\u308a\\u5c3d\\u304f\\u3057\\u3066\\u3044\\u304f\\n# \\u518d\\u5e30\\u3067\\u66f8\\u3051\\u308b\\uff1f\\n\\ndef max_beki(number, k):\\n    beki = 0\\n    while k**beki <= number:\\n        beki += 1\\n    return beki\\n\\nres = []\\nwaru_kazu = k**(max_beki(n, k) - 1)\\nwhile waru_kazu >= 1:\\n    shou = n//waru_kazu\\n    res.append(str(shou))\\n    n -= shou*waru_kazu\\n    waru_kazu /= k\\n\\nprint(len(res))\"]",
        "difficulty": "introductory",
        "input": "314159265 3\n",
        "output": "18\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_b"
    },
    {
        "id": 502,
        "task_id": 4368,
        "test_case_id": 4,
        "question": "Given is an integer N. Find the number of digits that N has in base K.\n\n-----Notes-----\nFor information on base-K representation, see Positional notation - Wikipedia.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 10^9\n - 2 \\leq K \\leq 10\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\n\n-----Output-----\nPrint the number of digits that N has in base K.\n\n-----Sample Input-----\n11 2\n\n-----Sample Output-----\n4\n\nIn binary, 11 is represented as 1011.",
        "solutions": "[\"n, k = list(map(int, input().split()))\\nans = 0\\n\\nwhile int(n) > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"N, K = map(int, input().split())\\nn = N\\ni = 1\\n\\nwhile 1 > 0:\\n  n = n // K\\n  if n == 0:\\n    print(i)\\n    break\\n  i += 1\", \"n,k = map(int,input().split())\\nl = []\\nwhile n != 0 :\\n    r = divmod(n,k)\\n    n = r[0]\\n    l.append(r[1])\\nprint(len(l))\", \"\\nn,k = list(map(int, input().split()))\\ni=0\\na=[]\\n\\nwhile n!=0:\\n    a.append(n%k)\\n\\n    n=n//k\\n    i=i+1\\n\\nprint((len(a)))\\n\\n\\n\\n\\n\", \"N, K=map(int, input().split())\\ncount=0\\nwhile True:\\n    if N >= pow(K, count):\\n        count+=1\\n    else:break\\nprint(count)\", \"def Base_10_to_n(X, n):\\n    if (int(X/n)):\\n        return Base_10_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn, k = map(int, input().split())\\nprint(len(list(Base_10_to_n(n, k))))\", \"N,K = map(int,input().split())\\nans = 0\\nwhile(K**ans <= N):\\n    ans += 1\\nprint(ans)\", \"nk = list(map(int, input().split()))\\nn, k = nk[0], nk[1]\\ndigit = 0\\n\\nwhile n > k ** digit - 1:\\n    digit += 1\\n\\nprint(digit)\\n\", \"n, k = map(int, input().split())\\n\\nans = 1\\nwhile(True):\\n    n = n//k\\n    if(n == 0):\\n        break\\n    ans += 1\\n\\nprint(ans)\", \"import math  \\ndef findNumberOfDigits(n, b): \\n    dig = (math.floor(math.log(n) /math.log(b)) + 1) \\n    return dig\\nn, k = map(int, input().strip().split())\\nprint(findNumberOfDigits(n, k))\", \"N,K=map(int,input().split())\\ni=0\\nwhile N>=1:\\n  N//=K\\n  i+=1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\nfor a in range(10**9):\\n    if k**a > n:\\n        print(a)\\n        break\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    #print(q)\\n    #print(mod)\\n    if q <=0 :\\n        break\\nif mod_list[-1] == 0:\\n    result = len(mod_list) - 1\\nelse:\\n    result =len(mod_list)\\nprint(result)\", \"N, K = map(int, input().split())\\n\\npower = 1\\n\\nwhile True:\\n    if N < K ** power:\\n        break\\n    else:\\n        power += 1\\n\\nprint(power)\", \"from math import log\\nN, K = map(int, input().split())\\nprint(int(log(N, K))+1)\", \"\\nn, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"n, k = list(map(int, input().split()))\\n\\nfor i in range(10 ** 9):\\n    if n < k ** i:\\n        print(i)\\n        break\\n\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    if q <=0 :\\n        break\\n\\nn_ary = int(\\\"\\\".join(map(str,mod_list[::-1])))\\nprint(len(str(n_ary)))\", \"N,K=map(int,input().split())\\nans=1\\nwhile N>1:\\n    N=N//K\\n    ans+=1\\nif N%K==0:\\n    ans-=1\\nprint(ans)\", \"n, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"N, K = map(int, input().split())\\ncnt = 0\\nwhile N//K != 0:\\n  N = N//K\\n  cnt += 1\\nprint(cnt+1)\", \"N, K = list(map(int, input().split()))\\n\\ni = 1\\nwhile N // K >= 1:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\\n\", \"N,K = map(int,input().split())\\nketa = 0\\nwhile N>0:\\n  N = N//K\\n  keta = keta + 1\\n\\nprint(keta)\", \"def readinput():\\n    n,k=list(map(int,input().split()))\\n    return n,k\\n\\ndef main(n,k):\\n    keta = 0\\n    while n > 0:\\n        keta += 1\\n        r = n % k\\n        n = n // k\\n    return keta\\n\\ndef __starting_point():\\n    n,k=readinput()\\n    ans=main(n,k)\\n    print(ans)\\n\\n__starting_point()\", \"import os, sys, re, math\\n\\n(N, K) = [int(n) for n in input().split()]\\n\\nd = 0\\na = K ** 0\\nwhile a <= N:\\n    d += 1\\n    a *= K\\n\\nprint(d)\\n\", \"N,K=map(int,input().split())\\nresult=1\\nwhile N>=K:\\n  N=int(N/K)\\n  result+=1\\nprint(result)\", \"n, k = map(int, input().split())\\nans = 1\\nwhile n>=k:\\n    n = n//k\\n    ans += 1\\nprint(ans)\", \"def L():\\n  return list(map(int, input().split()))\\nimport math\\n[n,k]=L()\\n\\nprint(math.floor(math.log(n,k))+1)\", \"n, k = list(map(int, input().split()))\\nlists = []\\nans = 0\\n\\nwhile int(n) > 0:\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 1\\nwhile n // k >  0:\\n    n = n // k\\n    i += 1\\nprint(i)\", \"import math\\nn, k = map(int, input().split())\\n\\nans = 0;\\nwhile(n):\\n    n = int(n / k)\\n    ans += 1\\n\\nprint(ans)\", \"n,k=map(int,input().split())\\ntotal=[]\\n\\nwhile True:\\n    if n>=k:\\n        total.append((n%k))\\n        n=n//k\\n    if n<k:\\n        total.append((n))\\n        break\\nprint(len(total))\", \"N, K = map(int, input().split())\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n, k = map(int, input().split())\\na = 1\\nb = n\\nwhile b >= k:\\n    b = b / k\\n    a += 1\\nprint(a)\", \"def answer(n: int, k: int) -> int:\\n    digits = 0\\n    while 0 < n:\\n        n //= k\\n        digits += 1\\n\\n    return digits\\n\\n\\ndef main():\\n    n, k = map(int, input().split())\\n    print(answer(n, k))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, K = map(int, input().split())\\ni = 0\\nwhile N != 0:\\n    N //= K\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ni = 1\\ncnt = 0\\nwhile i <= n:\\n    i *= k\\n    cnt += 1\\nprint(cnt)\", \"def Base_10_to_n(X, n):\\n    if int(X/n):\\n        return Base_10_to_n(int(X/n), n) + str(X%n)\\n    return str(X%n)\\n\\nN, K = list(map(int, input().split()))\\nprint((len(Base_10_to_n(N,K))))\\n\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(1000):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"n,k = map(int,input().split())\\nketa = 1\\nwhile k ** keta <= n:\\n    keta += 1\\nprint(keta)\", \"N,K = list(map(int,input().split()))\\n\\nans = 0\\nwhile True:\\n    if not N - K**ans >= 0:\\n        print(ans)\\n        break\\n    else:\\n        ans += 1\\n\", \"N,K = map(int,input().split())\\nketa = 1\\n\\nwhile N >= K:\\n    keta += 1\\n    N = N / K\\nprint(keta)\", \"import math\\nn, k = map(int, input().split())\\nx = int(math.log(n)//math.log(k)) + 1\\nprint(x)\", \"n, k = map(int, input().split())\\ncount = 0\\nwhile n != 0:\\n  n = n//k\\n  count += 1\\nprint(count)\", \"def main():\\n\\tt, n = list(map(int, input().split()))\\n\\tbinary = 0\\n\\tctr = 0\\n\\ttemp = t  \\n#calculating binary\\n\\twhile(temp > 0):\\n\\t\\tbinary = ((temp%n)*(10**ctr)) + binary\\n\\t\\ttemp = int(temp/n)\\n\\t\\tctr += 1\\n\\treturn len(str(binary))\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"N, K = map(int, input().split())\\n\\nn = 1\\n\\nwhile N >= K**n:\\n    n += 1\\n\\nprint(n)\", \"N,K = map(int,input().split())\\nans = 0\\n\\nwhile(N>0):\\n    N= N//K\\n    ans += 1\\n\\nprint(ans)\", \"# \\u6574\\u6570N\\u3092K\\u9032\\u6570\\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nN,K = map(int,input().split())\\n\\ni = 0\\nwhile N > 0:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\n\\nwhile N >= K:\\n    N = N // K\\n    ans += 1\\n\\nprint((ans + 1))\\n\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n != 0:\\n    n //= k\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans \\n    count += 1\\n\\nprint(count)\", \"N, K = map(int, input().split())\\n# N\\u304c\\u5341\\u9032\\u6570\\u306e\\u3068\\u304d\\u3001N\\u3088\\u308aK\\u306ei\\u4e57\\u304c\\u8d85\\u3048\\u305f\\u6570\\u306e\\u3068\\u304d\\u3001\\n# i\\u304cK\\u9032\\u6570\\u306e\\u6841\\u6570\\nfor i in range(10 ** 9):\\n    if N < K ** i:\\n        print(i)\\n        break\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(100):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"N,K=map(int,input().split())\\n\\ndef ans156(N:int, K:int):\\n    length=1#0\\u6841\\u306f\\u306a\\u3044\\u305f\\u3081\\u30011\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\n    while True:\\n        if N<K:\\n            break\\n        N=int(N/K)#\\u5272\\u308a\\u5207\\u308c\\u308b\\u3054\\u3068\\u306b1\\u6841\\u305a\\u3064\\u5897\\u3048\\u3066\\u3044\\u304f\\u3002\\n        length+=1\\n    return length\\n\\nprint(ans156(N,K))\", \"n, k = map(int, input().split())\\nlists = []\\nans = 0\\n\\nwhile True:\\n    if n < k:\\n        ans += 1\\n        break\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\n# \\u6574\\u6570N \\u3092 K\\u9032\\u6570 \\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u51fa\\u529b\\n# \\u4f4d\\u53d6\\u308a\\u8a18\\u6570\\u6cd5\\uff1ahttps://xtech.nikkei.com/atcl/learning/lecture/19/00049/00001/\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n,k = map(int,input().split())\\ncnt = 0\\nwhile n//k != 0:\\n    n = n//k\\n    cnt += 1\\n\\nprint(cnt+1)\", \"def resolve():\\n\\tn,k = map(int,input().split())\\n\\tans  = 0\\n\\twhile n!=0:\\n\\t\\tn = n//k\\n\\t\\tans += 1\\n\\tprint(ans)\\nresolve()\", \"N,K=map(int,input().split())\\nrank=1\\nS=K\\n\\nwhile N>=S:\\n  rank+=1\\n  S*=K\\n#  print(S)\\n  \\nprint(rank)\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\nans=0\\nwhile N>0:\\n  N//=K\\n  ans+=1\\nprint(ans)\", \"N, K = map(int, input().split())\\ni = 0\\nwhile K ** i <= N:\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ncounter = 0\\nwhile(n >= k):\\n  n = n//k\\n  counter = counter + 1\\nprint(counter+1)\", \"N, K = map(int, input().split())\\n\\n# \\u4f59\\u308a\\u3092\\u4ed8\\u3051\\u52a0\\u3048\\u3066\\u3044\\u304f\\u6587\\u5b57\\u5217\\u3092\\u5b9a\\u7fa9\\nans_str = ''\\n\\n# \\u5272\\u308a\\u7b97\\u306e\\u5546\\u3092\\u8868\\u3059\\u5909\\u6570\\u3092\\u5b9a\\u7fa9\\nn = N\\n\\nwhile (n>=K):\\n    n = n//K\\n    ans_str += str(n%K)\\n    # print(f'n\\uff1a{n}')\\nans_str += str(n)\\n# print(ans_str[::-1])\\nprint(len(ans_str))\", \"N , K = map(int,input().split())\\n\\nD = []\\nwhile (N > 0):\\n    D.append(N % K)\\n    N = N // K\\n\\nprint(len(D))\", \"n,k=list(map(int, input().split()))\\ni=0\\nwhile True:\\n  if k**i>n:\\n    print(i)\\n    break\\n  i+=1\\n\", \"import queue\\nN,K = map(int,input().split())\\nans = queue.Queue()\\nwhile N >= K:\\n    N,amari = divmod(N,K)\\n    ans.put(amari)\\nans.put(N)\\nanswer = \\\"\\\"\\nwhile not ans.empty():\\n    answer += str(ans.get())\\nprint(len(answer))\", \"n,k = map(int, input().split())\\ncnt = 0\\nwhile n>0:\\n  cnt += 1\\n  n //= k\\nprint(cnt)\", \"N,K = map(int, input().split())\\ncount = 0\\nwhile N > 0:\\n    N //= K\\n    count += 1\\n\\nprint(count)\", \"N,K=list(map(int,input().split()))\\nanswer=1\\n\\nif K==10:\\n  Str=str(N)\\n  answer=len(Str)\\n  print(answer)\\n  return\\n\\nwhile N//K>0:\\n  N=N//K\\n  answer+=1\\n\\nprint(answer)\\n\", \"N,K = map(int,input().split())\\n\\ni = 0\\nanslist = []\\nwhile True:\\n  if N>=K:\\n    i+=1\\n    anslist.append(N%K)\\n    N = N//K\\n    #print (N)\\n  if N<K:\\n    anslist.append(N)\\n    i+=1\\n    break\\n    \\nanslist.reverse()\\n#print (anslist)\\n#print (''.join(map(str, anslist)))\\nprint (i)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans\\n    count += 1\\n\\nprint(count)\", \"n,k=map(int,input().split())\\nnum=k\\nans=1\\nwhile num-1<n:\\n    ans+=1\\n    num*=k\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\nn = 1\\nwhile True:\\n    if K ** (n - 1) <= N < K ** n:\\n        break\\n    n += 1\\n\\nprint(n)\\nreturn\", \"import math\\nn,k=list(map(int,input().split()))\\na=int(math.log(n,k))+1\\nprint(a)\\n\", \"n, k = list(map(int, input().split()))\\n\\nanswer = n // k\\ncount = 1\\nwhile 0 < answer:\\n    answer = answer // k\\n    count += 1\\n\\nprint(count)\\n\", \"n, k = map(int, input().split())\\nans = 1\\nn1 = n\\nwhile n1 // k >= 1:\\n    n1 = n1 // k\\n    ans += 1\\nprint(ans)\", \"N, K = map(int, input().split())\\nprint(sum(N >= K ** i for i in range(99)))\", \"def Ten_to_n(X, n):\\n    if (int(X/n)):\\n        return Ten_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn,k=list(map(int, input().split()))\\nprint((len(Ten_to_n(n,k))))\\n\", \"integer, base = map(int, input().split())\\nconverted_number = ''\\nwhile integer > 0:\\n    converted_number += str(integer % base)\\n    integer //= base\\nprint(len(converted_number[::-1]))\", \"n, k = map(int, input().split())\\na = 1\\nb = k\\nwhile n >= b:\\n    b = b * k\\n    a += 1\\nprint(a)\", \"def calc_digits(n: int, k: int) -> str:\\n    if int(n / k):\\n        return calc_digits(int(n / k), k) + str(n % k)\\n\\n    return str(n % k)\\n\\n\\nn, k = list(map(int, input().split()))\\n\\nprint((len(calc_digits(n, k))))\\n\", \"N,K=map(int,input().split())\\ni = 0\\nwhile N >= K ** i :\\n    i += 1\\nelse :\\n    print(i)\", \"n, k = map(int, input().split())\\n\\nm = 0\\nwhile True:\\n    m += 1\\n    if k**m > n:\\n        print(m)\\n        break\", \"n, k = map(int, input().split())\\n\\nans = []\\nwhile n > 0:\\n  ans.append(n % k)\\n  n /= k\\n  n = int(n)\\nprint(len(ans))\", \"N, K = list(map(int, input().split()))\\ncnt = 0\\nwhile N > 0:\\n    cnt += 1\\n    N //= K\\nprint(cnt)\", \"n, k = list(map(int, input().split()))\\na = 1\\nwhile n >= k ** a:\\n    a += 1\\nprint(a)\\n\\n\", \"n,k=map(int,input().split());p=[]\\nwhile n:\\n  p.append(n%k)\\n  n//=k\\nprint(len(p))\", \"def main():\\n  N, K = map(int, input().split())\\n  \\n  if N < K:\\n    print(1)\\n    return\\n\\n  cnt = 0\\n  while N > 0:\\n    N = N // K\\n    cnt += 1\\n\\n  print(cnt)\\n\\n\\nmain()\", \"n, k = list(map(int, input().split()))\\nl = []\\n\\nwhile (n > 0):\\n    l.append(n%k)\\n    n //= k\\nprint((len(l)))\\n\", \"N, K = map(int,input().split())\\ncount = 1\\nwhile N >= K:\\n    N = N // K\\n    count += 1\\nprint(count)\", \"N, K = map(int,input().split())\\nans = 1\\nwhile(N >= K):\\n    N = N//K\\n    ans += 1\\nprint(ans)\", \"def base10toK_base(num, K):\\n    if num // K:\\n        return base10toK_base(num//K, K) + str(num % K)\\n    return str(num % K)\\n\\nN, K = map(int, input().split())\\nans = len(base10toK_base(N, K))\\nprint(ans) \", \"n, k = list(map(int, input().split()))\\n\\nans = 0\\nwhile n != 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"n, k = map(int, input().split())\\nans=1\\nwhile k**ans <= n:\\n  ans += 1\\nprint(ans)\", \"n = input()\\nn = n.split()\\nk = int(n[1])\\nn = int(n[0])\\na = 1\\nb = 0\\nwhile a == 1:\\n    b = b + 1\\n    if k**b>n:\\n        a = 0\\nprint(b)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\nx = 1\\n\\nwhile x <= N:\\n  x *= K\\n  ans +=1\\n  \\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 0\\nwhile k**i <= n:\\n  i += 1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\n# k\\u306e\\u3079\\u304d\\u4e57\\u3067n\\u3092\\u8d85\\u3048\\u308b\\u6700\\u5927\\u306e\\u51aa\\u6570\\u3092\\u6c42\\u3081\\u308b\\n# \\u6700\\u5927\\u306e\\u51aa\\u6570\\u304b\\u3089\\u9806\\u306b\\u3068\\u308a\\u5c3d\\u304f\\u3057\\u3066\\u3044\\u304f\\n# \\u518d\\u5e30\\u3067\\u66f8\\u3051\\u308b\\uff1f\\n\\ndef max_beki(number, k):\\n    beki = 0\\n    while k**beki <= number:\\n        beki += 1\\n    return beki\\n\\nres = []\\nwaru_kazu = k**(max_beki(n, k) - 1)\\nwhile waru_kazu >= 1:\\n    shou = n//waru_kazu\\n    res.append(str(shou))\\n    n -= shou*waru_kazu\\n    waru_kazu /= k\\n\\nprint(len(res))\"]",
        "difficulty": "introductory",
        "input": "1000000000 2\n",
        "output": "30\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_b"
    },
    {
        "id": 503,
        "task_id": 4368,
        "test_case_id": 5,
        "question": "Given is an integer N. Find the number of digits that N has in base K.\n\n-----Notes-----\nFor information on base-K representation, see Positional notation - Wikipedia.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 10^9\n - 2 \\leq K \\leq 10\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\n\n-----Output-----\nPrint the number of digits that N has in base K.\n\n-----Sample Input-----\n11 2\n\n-----Sample Output-----\n4\n\nIn binary, 11 is represented as 1011.",
        "solutions": "[\"n, k = list(map(int, input().split()))\\nans = 0\\n\\nwhile int(n) > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"N, K = map(int, input().split())\\nn = N\\ni = 1\\n\\nwhile 1 > 0:\\n  n = n // K\\n  if n == 0:\\n    print(i)\\n    break\\n  i += 1\", \"n,k = map(int,input().split())\\nl = []\\nwhile n != 0 :\\n    r = divmod(n,k)\\n    n = r[0]\\n    l.append(r[1])\\nprint(len(l))\", \"\\nn,k = list(map(int, input().split()))\\ni=0\\na=[]\\n\\nwhile n!=0:\\n    a.append(n%k)\\n\\n    n=n//k\\n    i=i+1\\n\\nprint((len(a)))\\n\\n\\n\\n\\n\", \"N, K=map(int, input().split())\\ncount=0\\nwhile True:\\n    if N >= pow(K, count):\\n        count+=1\\n    else:break\\nprint(count)\", \"def Base_10_to_n(X, n):\\n    if (int(X/n)):\\n        return Base_10_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn, k = map(int, input().split())\\nprint(len(list(Base_10_to_n(n, k))))\", \"N,K = map(int,input().split())\\nans = 0\\nwhile(K**ans <= N):\\n    ans += 1\\nprint(ans)\", \"nk = list(map(int, input().split()))\\nn, k = nk[0], nk[1]\\ndigit = 0\\n\\nwhile n > k ** digit - 1:\\n    digit += 1\\n\\nprint(digit)\\n\", \"n, k = map(int, input().split())\\n\\nans = 1\\nwhile(True):\\n    n = n//k\\n    if(n == 0):\\n        break\\n    ans += 1\\n\\nprint(ans)\", \"import math  \\ndef findNumberOfDigits(n, b): \\n    dig = (math.floor(math.log(n) /math.log(b)) + 1) \\n    return dig\\nn, k = map(int, input().strip().split())\\nprint(findNumberOfDigits(n, k))\", \"N,K=map(int,input().split())\\ni=0\\nwhile N>=1:\\n  N//=K\\n  i+=1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\nfor a in range(10**9):\\n    if k**a > n:\\n        print(a)\\n        break\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    #print(q)\\n    #print(mod)\\n    if q <=0 :\\n        break\\nif mod_list[-1] == 0:\\n    result = len(mod_list) - 1\\nelse:\\n    result =len(mod_list)\\nprint(result)\", \"N, K = map(int, input().split())\\n\\npower = 1\\n\\nwhile True:\\n    if N < K ** power:\\n        break\\n    else:\\n        power += 1\\n\\nprint(power)\", \"from math import log\\nN, K = map(int, input().split())\\nprint(int(log(N, K))+1)\", \"\\nn, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"n, k = list(map(int, input().split()))\\n\\nfor i in range(10 ** 9):\\n    if n < k ** i:\\n        print(i)\\n        break\\n\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    if q <=0 :\\n        break\\n\\nn_ary = int(\\\"\\\".join(map(str,mod_list[::-1])))\\nprint(len(str(n_ary)))\", \"N,K=map(int,input().split())\\nans=1\\nwhile N>1:\\n    N=N//K\\n    ans+=1\\nif N%K==0:\\n    ans-=1\\nprint(ans)\", \"n, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"N, K = map(int, input().split())\\ncnt = 0\\nwhile N//K != 0:\\n  N = N//K\\n  cnt += 1\\nprint(cnt+1)\", \"N, K = list(map(int, input().split()))\\n\\ni = 1\\nwhile N // K >= 1:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\\n\", \"N,K = map(int,input().split())\\nketa = 0\\nwhile N>0:\\n  N = N//K\\n  keta = keta + 1\\n\\nprint(keta)\", \"def readinput():\\n    n,k=list(map(int,input().split()))\\n    return n,k\\n\\ndef main(n,k):\\n    keta = 0\\n    while n > 0:\\n        keta += 1\\n        r = n % k\\n        n = n // k\\n    return keta\\n\\ndef __starting_point():\\n    n,k=readinput()\\n    ans=main(n,k)\\n    print(ans)\\n\\n__starting_point()\", \"import os, sys, re, math\\n\\n(N, K) = [int(n) for n in input().split()]\\n\\nd = 0\\na = K ** 0\\nwhile a <= N:\\n    d += 1\\n    a *= K\\n\\nprint(d)\\n\", \"N,K=map(int,input().split())\\nresult=1\\nwhile N>=K:\\n  N=int(N/K)\\n  result+=1\\nprint(result)\", \"n, k = map(int, input().split())\\nans = 1\\nwhile n>=k:\\n    n = n//k\\n    ans += 1\\nprint(ans)\", \"def L():\\n  return list(map(int, input().split()))\\nimport math\\n[n,k]=L()\\n\\nprint(math.floor(math.log(n,k))+1)\", \"n, k = list(map(int, input().split()))\\nlists = []\\nans = 0\\n\\nwhile int(n) > 0:\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 1\\nwhile n // k >  0:\\n    n = n // k\\n    i += 1\\nprint(i)\", \"import math\\nn, k = map(int, input().split())\\n\\nans = 0;\\nwhile(n):\\n    n = int(n / k)\\n    ans += 1\\n\\nprint(ans)\", \"n,k=map(int,input().split())\\ntotal=[]\\n\\nwhile True:\\n    if n>=k:\\n        total.append((n%k))\\n        n=n//k\\n    if n<k:\\n        total.append((n))\\n        break\\nprint(len(total))\", \"N, K = map(int, input().split())\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n, k = map(int, input().split())\\na = 1\\nb = n\\nwhile b >= k:\\n    b = b / k\\n    a += 1\\nprint(a)\", \"def answer(n: int, k: int) -> int:\\n    digits = 0\\n    while 0 < n:\\n        n //= k\\n        digits += 1\\n\\n    return digits\\n\\n\\ndef main():\\n    n, k = map(int, input().split())\\n    print(answer(n, k))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, K = map(int, input().split())\\ni = 0\\nwhile N != 0:\\n    N //= K\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ni = 1\\ncnt = 0\\nwhile i <= n:\\n    i *= k\\n    cnt += 1\\nprint(cnt)\", \"def Base_10_to_n(X, n):\\n    if int(X/n):\\n        return Base_10_to_n(int(X/n), n) + str(X%n)\\n    return str(X%n)\\n\\nN, K = list(map(int, input().split()))\\nprint((len(Base_10_to_n(N,K))))\\n\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(1000):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"n,k = map(int,input().split())\\nketa = 1\\nwhile k ** keta <= n:\\n    keta += 1\\nprint(keta)\", \"N,K = list(map(int,input().split()))\\n\\nans = 0\\nwhile True:\\n    if not N - K**ans >= 0:\\n        print(ans)\\n        break\\n    else:\\n        ans += 1\\n\", \"N,K = map(int,input().split())\\nketa = 1\\n\\nwhile N >= K:\\n    keta += 1\\n    N = N / K\\nprint(keta)\", \"import math\\nn, k = map(int, input().split())\\nx = int(math.log(n)//math.log(k)) + 1\\nprint(x)\", \"n, k = map(int, input().split())\\ncount = 0\\nwhile n != 0:\\n  n = n//k\\n  count += 1\\nprint(count)\", \"def main():\\n\\tt, n = list(map(int, input().split()))\\n\\tbinary = 0\\n\\tctr = 0\\n\\ttemp = t  \\n#calculating binary\\n\\twhile(temp > 0):\\n\\t\\tbinary = ((temp%n)*(10**ctr)) + binary\\n\\t\\ttemp = int(temp/n)\\n\\t\\tctr += 1\\n\\treturn len(str(binary))\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"N, K = map(int, input().split())\\n\\nn = 1\\n\\nwhile N >= K**n:\\n    n += 1\\n\\nprint(n)\", \"N,K = map(int,input().split())\\nans = 0\\n\\nwhile(N>0):\\n    N= N//K\\n    ans += 1\\n\\nprint(ans)\", \"# \\u6574\\u6570N\\u3092K\\u9032\\u6570\\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nN,K = map(int,input().split())\\n\\ni = 0\\nwhile N > 0:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\n\\nwhile N >= K:\\n    N = N // K\\n    ans += 1\\n\\nprint((ans + 1))\\n\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n != 0:\\n    n //= k\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans \\n    count += 1\\n\\nprint(count)\", \"N, K = map(int, input().split())\\n# N\\u304c\\u5341\\u9032\\u6570\\u306e\\u3068\\u304d\\u3001N\\u3088\\u308aK\\u306ei\\u4e57\\u304c\\u8d85\\u3048\\u305f\\u6570\\u306e\\u3068\\u304d\\u3001\\n# i\\u304cK\\u9032\\u6570\\u306e\\u6841\\u6570\\nfor i in range(10 ** 9):\\n    if N < K ** i:\\n        print(i)\\n        break\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(100):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"N,K=map(int,input().split())\\n\\ndef ans156(N:int, K:int):\\n    length=1#0\\u6841\\u306f\\u306a\\u3044\\u305f\\u3081\\u30011\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\n    while True:\\n        if N<K:\\n            break\\n        N=int(N/K)#\\u5272\\u308a\\u5207\\u308c\\u308b\\u3054\\u3068\\u306b1\\u6841\\u305a\\u3064\\u5897\\u3048\\u3066\\u3044\\u304f\\u3002\\n        length+=1\\n    return length\\n\\nprint(ans156(N,K))\", \"n, k = map(int, input().split())\\nlists = []\\nans = 0\\n\\nwhile True:\\n    if n < k:\\n        ans += 1\\n        break\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\n# \\u6574\\u6570N \\u3092 K\\u9032\\u6570 \\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u51fa\\u529b\\n# \\u4f4d\\u53d6\\u308a\\u8a18\\u6570\\u6cd5\\uff1ahttps://xtech.nikkei.com/atcl/learning/lecture/19/00049/00001/\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n,k = map(int,input().split())\\ncnt = 0\\nwhile n//k != 0:\\n    n = n//k\\n    cnt += 1\\n\\nprint(cnt+1)\", \"def resolve():\\n\\tn,k = map(int,input().split())\\n\\tans  = 0\\n\\twhile n!=0:\\n\\t\\tn = n//k\\n\\t\\tans += 1\\n\\tprint(ans)\\nresolve()\", \"N,K=map(int,input().split())\\nrank=1\\nS=K\\n\\nwhile N>=S:\\n  rank+=1\\n  S*=K\\n#  print(S)\\n  \\nprint(rank)\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\nans=0\\nwhile N>0:\\n  N//=K\\n  ans+=1\\nprint(ans)\", \"N, K = map(int, input().split())\\ni = 0\\nwhile K ** i <= N:\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ncounter = 0\\nwhile(n >= k):\\n  n = n//k\\n  counter = counter + 1\\nprint(counter+1)\", \"N, K = map(int, input().split())\\n\\n# \\u4f59\\u308a\\u3092\\u4ed8\\u3051\\u52a0\\u3048\\u3066\\u3044\\u304f\\u6587\\u5b57\\u5217\\u3092\\u5b9a\\u7fa9\\nans_str = ''\\n\\n# \\u5272\\u308a\\u7b97\\u306e\\u5546\\u3092\\u8868\\u3059\\u5909\\u6570\\u3092\\u5b9a\\u7fa9\\nn = N\\n\\nwhile (n>=K):\\n    n = n//K\\n    ans_str += str(n%K)\\n    # print(f'n\\uff1a{n}')\\nans_str += str(n)\\n# print(ans_str[::-1])\\nprint(len(ans_str))\", \"N , K = map(int,input().split())\\n\\nD = []\\nwhile (N > 0):\\n    D.append(N % K)\\n    N = N // K\\n\\nprint(len(D))\", \"n,k=list(map(int, input().split()))\\ni=0\\nwhile True:\\n  if k**i>n:\\n    print(i)\\n    break\\n  i+=1\\n\", \"import queue\\nN,K = map(int,input().split())\\nans = queue.Queue()\\nwhile N >= K:\\n    N,amari = divmod(N,K)\\n    ans.put(amari)\\nans.put(N)\\nanswer = \\\"\\\"\\nwhile not ans.empty():\\n    answer += str(ans.get())\\nprint(len(answer))\", \"n,k = map(int, input().split())\\ncnt = 0\\nwhile n>0:\\n  cnt += 1\\n  n //= k\\nprint(cnt)\", \"N,K = map(int, input().split())\\ncount = 0\\nwhile N > 0:\\n    N //= K\\n    count += 1\\n\\nprint(count)\", \"N,K=list(map(int,input().split()))\\nanswer=1\\n\\nif K==10:\\n  Str=str(N)\\n  answer=len(Str)\\n  print(answer)\\n  return\\n\\nwhile N//K>0:\\n  N=N//K\\n  answer+=1\\n\\nprint(answer)\\n\", \"N,K = map(int,input().split())\\n\\ni = 0\\nanslist = []\\nwhile True:\\n  if N>=K:\\n    i+=1\\n    anslist.append(N%K)\\n    N = N//K\\n    #print (N)\\n  if N<K:\\n    anslist.append(N)\\n    i+=1\\n    break\\n    \\nanslist.reverse()\\n#print (anslist)\\n#print (''.join(map(str, anslist)))\\nprint (i)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans\\n    count += 1\\n\\nprint(count)\", \"n,k=map(int,input().split())\\nnum=k\\nans=1\\nwhile num-1<n:\\n    ans+=1\\n    num*=k\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\nn = 1\\nwhile True:\\n    if K ** (n - 1) <= N < K ** n:\\n        break\\n    n += 1\\n\\nprint(n)\\nreturn\", \"import math\\nn,k=list(map(int,input().split()))\\na=int(math.log(n,k))+1\\nprint(a)\\n\", \"n, k = list(map(int, input().split()))\\n\\nanswer = n // k\\ncount = 1\\nwhile 0 < answer:\\n    answer = answer // k\\n    count += 1\\n\\nprint(count)\\n\", \"n, k = map(int, input().split())\\nans = 1\\nn1 = n\\nwhile n1 // k >= 1:\\n    n1 = n1 // k\\n    ans += 1\\nprint(ans)\", \"N, K = map(int, input().split())\\nprint(sum(N >= K ** i for i in range(99)))\", \"def Ten_to_n(X, n):\\n    if (int(X/n)):\\n        return Ten_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn,k=list(map(int, input().split()))\\nprint((len(Ten_to_n(n,k))))\\n\", \"integer, base = map(int, input().split())\\nconverted_number = ''\\nwhile integer > 0:\\n    converted_number += str(integer % base)\\n    integer //= base\\nprint(len(converted_number[::-1]))\", \"n, k = map(int, input().split())\\na = 1\\nb = k\\nwhile n >= b:\\n    b = b * k\\n    a += 1\\nprint(a)\", \"def calc_digits(n: int, k: int) -> str:\\n    if int(n / k):\\n        return calc_digits(int(n / k), k) + str(n % k)\\n\\n    return str(n % k)\\n\\n\\nn, k = list(map(int, input().split()))\\n\\nprint((len(calc_digits(n, k))))\\n\", \"N,K=map(int,input().split())\\ni = 0\\nwhile N >= K ** i :\\n    i += 1\\nelse :\\n    print(i)\", \"n, k = map(int, input().split())\\n\\nm = 0\\nwhile True:\\n    m += 1\\n    if k**m > n:\\n        print(m)\\n        break\", \"n, k = map(int, input().split())\\n\\nans = []\\nwhile n > 0:\\n  ans.append(n % k)\\n  n /= k\\n  n = int(n)\\nprint(len(ans))\", \"N, K = list(map(int, input().split()))\\ncnt = 0\\nwhile N > 0:\\n    cnt += 1\\n    N //= K\\nprint(cnt)\", \"n, k = list(map(int, input().split()))\\na = 1\\nwhile n >= k ** a:\\n    a += 1\\nprint(a)\\n\\n\", \"n,k=map(int,input().split());p=[]\\nwhile n:\\n  p.append(n%k)\\n  n//=k\\nprint(len(p))\", \"def main():\\n  N, K = map(int, input().split())\\n  \\n  if N < K:\\n    print(1)\\n    return\\n\\n  cnt = 0\\n  while N > 0:\\n    N = N // K\\n    cnt += 1\\n\\n  print(cnt)\\n\\n\\nmain()\", \"n, k = list(map(int, input().split()))\\nl = []\\n\\nwhile (n > 0):\\n    l.append(n%k)\\n    n //= k\\nprint((len(l)))\\n\", \"N, K = map(int,input().split())\\ncount = 1\\nwhile N >= K:\\n    N = N // K\\n    count += 1\\nprint(count)\", \"N, K = map(int,input().split())\\nans = 1\\nwhile(N >= K):\\n    N = N//K\\n    ans += 1\\nprint(ans)\", \"def base10toK_base(num, K):\\n    if num // K:\\n        return base10toK_base(num//K, K) + str(num % K)\\n    return str(num % K)\\n\\nN, K = map(int, input().split())\\nans = len(base10toK_base(N, K))\\nprint(ans) \", \"n, k = list(map(int, input().split()))\\n\\nans = 0\\nwhile n != 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"n, k = map(int, input().split())\\nans=1\\nwhile k**ans <= n:\\n  ans += 1\\nprint(ans)\", \"n = input()\\nn = n.split()\\nk = int(n[1])\\nn = int(n[0])\\na = 1\\nb = 0\\nwhile a == 1:\\n    b = b + 1\\n    if k**b>n:\\n        a = 0\\nprint(b)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\nx = 1\\n\\nwhile x <= N:\\n  x *= K\\n  ans +=1\\n  \\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 0\\nwhile k**i <= n:\\n  i += 1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\n# k\\u306e\\u3079\\u304d\\u4e57\\u3067n\\u3092\\u8d85\\u3048\\u308b\\u6700\\u5927\\u306e\\u51aa\\u6570\\u3092\\u6c42\\u3081\\u308b\\n# \\u6700\\u5927\\u306e\\u51aa\\u6570\\u304b\\u3089\\u9806\\u306b\\u3068\\u308a\\u5c3d\\u304f\\u3057\\u3066\\u3044\\u304f\\n# \\u518d\\u5e30\\u3067\\u66f8\\u3051\\u308b\\uff1f\\n\\ndef max_beki(number, k):\\n    beki = 0\\n    while k**beki <= number:\\n        beki += 1\\n    return beki\\n\\nres = []\\nwaru_kazu = k**(max_beki(n, k) - 1)\\nwhile waru_kazu >= 1:\\n    shou = n//waru_kazu\\n    res.append(str(shou))\\n    n -= shou*waru_kazu\\n    waru_kazu /= k\\n\\nprint(len(res))\"]",
        "difficulty": "introductory",
        "input": "1 2\n",
        "output": "1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_b"
    },
    {
        "id": 504,
        "task_id": 4368,
        "test_case_id": 6,
        "question": "Given is an integer N. Find the number of digits that N has in base K.\n\n-----Notes-----\nFor information on base-K representation, see Positional notation - Wikipedia.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 10^9\n - 2 \\leq K \\leq 10\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\n\n-----Output-----\nPrint the number of digits that N has in base K.\n\n-----Sample Input-----\n11 2\n\n-----Sample Output-----\n4\n\nIn binary, 11 is represented as 1011.",
        "solutions": "[\"n, k = list(map(int, input().split()))\\nans = 0\\n\\nwhile int(n) > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"N, K = map(int, input().split())\\nn = N\\ni = 1\\n\\nwhile 1 > 0:\\n  n = n // K\\n  if n == 0:\\n    print(i)\\n    break\\n  i += 1\", \"n,k = map(int,input().split())\\nl = []\\nwhile n != 0 :\\n    r = divmod(n,k)\\n    n = r[0]\\n    l.append(r[1])\\nprint(len(l))\", \"\\nn,k = list(map(int, input().split()))\\ni=0\\na=[]\\n\\nwhile n!=0:\\n    a.append(n%k)\\n\\n    n=n//k\\n    i=i+1\\n\\nprint((len(a)))\\n\\n\\n\\n\\n\", \"N, K=map(int, input().split())\\ncount=0\\nwhile True:\\n    if N >= pow(K, count):\\n        count+=1\\n    else:break\\nprint(count)\", \"def Base_10_to_n(X, n):\\n    if (int(X/n)):\\n        return Base_10_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn, k = map(int, input().split())\\nprint(len(list(Base_10_to_n(n, k))))\", \"N,K = map(int,input().split())\\nans = 0\\nwhile(K**ans <= N):\\n    ans += 1\\nprint(ans)\", \"nk = list(map(int, input().split()))\\nn, k = nk[0], nk[1]\\ndigit = 0\\n\\nwhile n > k ** digit - 1:\\n    digit += 1\\n\\nprint(digit)\\n\", \"n, k = map(int, input().split())\\n\\nans = 1\\nwhile(True):\\n    n = n//k\\n    if(n == 0):\\n        break\\n    ans += 1\\n\\nprint(ans)\", \"import math  \\ndef findNumberOfDigits(n, b): \\n    dig = (math.floor(math.log(n) /math.log(b)) + 1) \\n    return dig\\nn, k = map(int, input().strip().split())\\nprint(findNumberOfDigits(n, k))\", \"N,K=map(int,input().split())\\ni=0\\nwhile N>=1:\\n  N//=K\\n  i+=1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\nfor a in range(10**9):\\n    if k**a > n:\\n        print(a)\\n        break\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    #print(q)\\n    #print(mod)\\n    if q <=0 :\\n        break\\nif mod_list[-1] == 0:\\n    result = len(mod_list) - 1\\nelse:\\n    result =len(mod_list)\\nprint(result)\", \"N, K = map(int, input().split())\\n\\npower = 1\\n\\nwhile True:\\n    if N < K ** power:\\n        break\\n    else:\\n        power += 1\\n\\nprint(power)\", \"from math import log\\nN, K = map(int, input().split())\\nprint(int(log(N, K))+1)\", \"\\nn, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"n, k = list(map(int, input().split()))\\n\\nfor i in range(10 ** 9):\\n    if n < k ** i:\\n        print(i)\\n        break\\n\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    if q <=0 :\\n        break\\n\\nn_ary = int(\\\"\\\".join(map(str,mod_list[::-1])))\\nprint(len(str(n_ary)))\", \"N,K=map(int,input().split())\\nans=1\\nwhile N>1:\\n    N=N//K\\n    ans+=1\\nif N%K==0:\\n    ans-=1\\nprint(ans)\", \"n, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"N, K = map(int, input().split())\\ncnt = 0\\nwhile N//K != 0:\\n  N = N//K\\n  cnt += 1\\nprint(cnt+1)\", \"N, K = list(map(int, input().split()))\\n\\ni = 1\\nwhile N // K >= 1:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\\n\", \"N,K = map(int,input().split())\\nketa = 0\\nwhile N>0:\\n  N = N//K\\n  keta = keta + 1\\n\\nprint(keta)\", \"def readinput():\\n    n,k=list(map(int,input().split()))\\n    return n,k\\n\\ndef main(n,k):\\n    keta = 0\\n    while n > 0:\\n        keta += 1\\n        r = n % k\\n        n = n // k\\n    return keta\\n\\ndef __starting_point():\\n    n,k=readinput()\\n    ans=main(n,k)\\n    print(ans)\\n\\n__starting_point()\", \"import os, sys, re, math\\n\\n(N, K) = [int(n) for n in input().split()]\\n\\nd = 0\\na = K ** 0\\nwhile a <= N:\\n    d += 1\\n    a *= K\\n\\nprint(d)\\n\", \"N,K=map(int,input().split())\\nresult=1\\nwhile N>=K:\\n  N=int(N/K)\\n  result+=1\\nprint(result)\", \"n, k = map(int, input().split())\\nans = 1\\nwhile n>=k:\\n    n = n//k\\n    ans += 1\\nprint(ans)\", \"def L():\\n  return list(map(int, input().split()))\\nimport math\\n[n,k]=L()\\n\\nprint(math.floor(math.log(n,k))+1)\", \"n, k = list(map(int, input().split()))\\nlists = []\\nans = 0\\n\\nwhile int(n) > 0:\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 1\\nwhile n // k >  0:\\n    n = n // k\\n    i += 1\\nprint(i)\", \"import math\\nn, k = map(int, input().split())\\n\\nans = 0;\\nwhile(n):\\n    n = int(n / k)\\n    ans += 1\\n\\nprint(ans)\", \"n,k=map(int,input().split())\\ntotal=[]\\n\\nwhile True:\\n    if n>=k:\\n        total.append((n%k))\\n        n=n//k\\n    if n<k:\\n        total.append((n))\\n        break\\nprint(len(total))\", \"N, K = map(int, input().split())\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n, k = map(int, input().split())\\na = 1\\nb = n\\nwhile b >= k:\\n    b = b / k\\n    a += 1\\nprint(a)\", \"def answer(n: int, k: int) -> int:\\n    digits = 0\\n    while 0 < n:\\n        n //= k\\n        digits += 1\\n\\n    return digits\\n\\n\\ndef main():\\n    n, k = map(int, input().split())\\n    print(answer(n, k))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, K = map(int, input().split())\\ni = 0\\nwhile N != 0:\\n    N //= K\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ni = 1\\ncnt = 0\\nwhile i <= n:\\n    i *= k\\n    cnt += 1\\nprint(cnt)\", \"def Base_10_to_n(X, n):\\n    if int(X/n):\\n        return Base_10_to_n(int(X/n), n) + str(X%n)\\n    return str(X%n)\\n\\nN, K = list(map(int, input().split()))\\nprint((len(Base_10_to_n(N,K))))\\n\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(1000):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"n,k = map(int,input().split())\\nketa = 1\\nwhile k ** keta <= n:\\n    keta += 1\\nprint(keta)\", \"N,K = list(map(int,input().split()))\\n\\nans = 0\\nwhile True:\\n    if not N - K**ans >= 0:\\n        print(ans)\\n        break\\n    else:\\n        ans += 1\\n\", \"N,K = map(int,input().split())\\nketa = 1\\n\\nwhile N >= K:\\n    keta += 1\\n    N = N / K\\nprint(keta)\", \"import math\\nn, k = map(int, input().split())\\nx = int(math.log(n)//math.log(k)) + 1\\nprint(x)\", \"n, k = map(int, input().split())\\ncount = 0\\nwhile n != 0:\\n  n = n//k\\n  count += 1\\nprint(count)\", \"def main():\\n\\tt, n = list(map(int, input().split()))\\n\\tbinary = 0\\n\\tctr = 0\\n\\ttemp = t  \\n#calculating binary\\n\\twhile(temp > 0):\\n\\t\\tbinary = ((temp%n)*(10**ctr)) + binary\\n\\t\\ttemp = int(temp/n)\\n\\t\\tctr += 1\\n\\treturn len(str(binary))\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"N, K = map(int, input().split())\\n\\nn = 1\\n\\nwhile N >= K**n:\\n    n += 1\\n\\nprint(n)\", \"N,K = map(int,input().split())\\nans = 0\\n\\nwhile(N>0):\\n    N= N//K\\n    ans += 1\\n\\nprint(ans)\", \"# \\u6574\\u6570N\\u3092K\\u9032\\u6570\\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nN,K = map(int,input().split())\\n\\ni = 0\\nwhile N > 0:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\n\\nwhile N >= K:\\n    N = N // K\\n    ans += 1\\n\\nprint((ans + 1))\\n\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n != 0:\\n    n //= k\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans \\n    count += 1\\n\\nprint(count)\", \"N, K = map(int, input().split())\\n# N\\u304c\\u5341\\u9032\\u6570\\u306e\\u3068\\u304d\\u3001N\\u3088\\u308aK\\u306ei\\u4e57\\u304c\\u8d85\\u3048\\u305f\\u6570\\u306e\\u3068\\u304d\\u3001\\n# i\\u304cK\\u9032\\u6570\\u306e\\u6841\\u6570\\nfor i in range(10 ** 9):\\n    if N < K ** i:\\n        print(i)\\n        break\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(100):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"N,K=map(int,input().split())\\n\\ndef ans156(N:int, K:int):\\n    length=1#0\\u6841\\u306f\\u306a\\u3044\\u305f\\u3081\\u30011\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\n    while True:\\n        if N<K:\\n            break\\n        N=int(N/K)#\\u5272\\u308a\\u5207\\u308c\\u308b\\u3054\\u3068\\u306b1\\u6841\\u305a\\u3064\\u5897\\u3048\\u3066\\u3044\\u304f\\u3002\\n        length+=1\\n    return length\\n\\nprint(ans156(N,K))\", \"n, k = map(int, input().split())\\nlists = []\\nans = 0\\n\\nwhile True:\\n    if n < k:\\n        ans += 1\\n        break\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\n# \\u6574\\u6570N \\u3092 K\\u9032\\u6570 \\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u51fa\\u529b\\n# \\u4f4d\\u53d6\\u308a\\u8a18\\u6570\\u6cd5\\uff1ahttps://xtech.nikkei.com/atcl/learning/lecture/19/00049/00001/\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n,k = map(int,input().split())\\ncnt = 0\\nwhile n//k != 0:\\n    n = n//k\\n    cnt += 1\\n\\nprint(cnt+1)\", \"def resolve():\\n\\tn,k = map(int,input().split())\\n\\tans  = 0\\n\\twhile n!=0:\\n\\t\\tn = n//k\\n\\t\\tans += 1\\n\\tprint(ans)\\nresolve()\", \"N,K=map(int,input().split())\\nrank=1\\nS=K\\n\\nwhile N>=S:\\n  rank+=1\\n  S*=K\\n#  print(S)\\n  \\nprint(rank)\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\nans=0\\nwhile N>0:\\n  N//=K\\n  ans+=1\\nprint(ans)\", \"N, K = map(int, input().split())\\ni = 0\\nwhile K ** i <= N:\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ncounter = 0\\nwhile(n >= k):\\n  n = n//k\\n  counter = counter + 1\\nprint(counter+1)\", \"N, K = map(int, input().split())\\n\\n# \\u4f59\\u308a\\u3092\\u4ed8\\u3051\\u52a0\\u3048\\u3066\\u3044\\u304f\\u6587\\u5b57\\u5217\\u3092\\u5b9a\\u7fa9\\nans_str = ''\\n\\n# \\u5272\\u308a\\u7b97\\u306e\\u5546\\u3092\\u8868\\u3059\\u5909\\u6570\\u3092\\u5b9a\\u7fa9\\nn = N\\n\\nwhile (n>=K):\\n    n = n//K\\n    ans_str += str(n%K)\\n    # print(f'n\\uff1a{n}')\\nans_str += str(n)\\n# print(ans_str[::-1])\\nprint(len(ans_str))\", \"N , K = map(int,input().split())\\n\\nD = []\\nwhile (N > 0):\\n    D.append(N % K)\\n    N = N // K\\n\\nprint(len(D))\", \"n,k=list(map(int, input().split()))\\ni=0\\nwhile True:\\n  if k**i>n:\\n    print(i)\\n    break\\n  i+=1\\n\", \"import queue\\nN,K = map(int,input().split())\\nans = queue.Queue()\\nwhile N >= K:\\n    N,amari = divmod(N,K)\\n    ans.put(amari)\\nans.put(N)\\nanswer = \\\"\\\"\\nwhile not ans.empty():\\n    answer += str(ans.get())\\nprint(len(answer))\", \"n,k = map(int, input().split())\\ncnt = 0\\nwhile n>0:\\n  cnt += 1\\n  n //= k\\nprint(cnt)\", \"N,K = map(int, input().split())\\ncount = 0\\nwhile N > 0:\\n    N //= K\\n    count += 1\\n\\nprint(count)\", \"N,K=list(map(int,input().split()))\\nanswer=1\\n\\nif K==10:\\n  Str=str(N)\\n  answer=len(Str)\\n  print(answer)\\n  return\\n\\nwhile N//K>0:\\n  N=N//K\\n  answer+=1\\n\\nprint(answer)\\n\", \"N,K = map(int,input().split())\\n\\ni = 0\\nanslist = []\\nwhile True:\\n  if N>=K:\\n    i+=1\\n    anslist.append(N%K)\\n    N = N//K\\n    #print (N)\\n  if N<K:\\n    anslist.append(N)\\n    i+=1\\n    break\\n    \\nanslist.reverse()\\n#print (anslist)\\n#print (''.join(map(str, anslist)))\\nprint (i)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans\\n    count += 1\\n\\nprint(count)\", \"n,k=map(int,input().split())\\nnum=k\\nans=1\\nwhile num-1<n:\\n    ans+=1\\n    num*=k\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\nn = 1\\nwhile True:\\n    if K ** (n - 1) <= N < K ** n:\\n        break\\n    n += 1\\n\\nprint(n)\\nreturn\", \"import math\\nn,k=list(map(int,input().split()))\\na=int(math.log(n,k))+1\\nprint(a)\\n\", \"n, k = list(map(int, input().split()))\\n\\nanswer = n // k\\ncount = 1\\nwhile 0 < answer:\\n    answer = answer // k\\n    count += 1\\n\\nprint(count)\\n\", \"n, k = map(int, input().split())\\nans = 1\\nn1 = n\\nwhile n1 // k >= 1:\\n    n1 = n1 // k\\n    ans += 1\\nprint(ans)\", \"N, K = map(int, input().split())\\nprint(sum(N >= K ** i for i in range(99)))\", \"def Ten_to_n(X, n):\\n    if (int(X/n)):\\n        return Ten_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn,k=list(map(int, input().split()))\\nprint((len(Ten_to_n(n,k))))\\n\", \"integer, base = map(int, input().split())\\nconverted_number = ''\\nwhile integer > 0:\\n    converted_number += str(integer % base)\\n    integer //= base\\nprint(len(converted_number[::-1]))\", \"n, k = map(int, input().split())\\na = 1\\nb = k\\nwhile n >= b:\\n    b = b * k\\n    a += 1\\nprint(a)\", \"def calc_digits(n: int, k: int) -> str:\\n    if int(n / k):\\n        return calc_digits(int(n / k), k) + str(n % k)\\n\\n    return str(n % k)\\n\\n\\nn, k = list(map(int, input().split()))\\n\\nprint((len(calc_digits(n, k))))\\n\", \"N,K=map(int,input().split())\\ni = 0\\nwhile N >= K ** i :\\n    i += 1\\nelse :\\n    print(i)\", \"n, k = map(int, input().split())\\n\\nm = 0\\nwhile True:\\n    m += 1\\n    if k**m > n:\\n        print(m)\\n        break\", \"n, k = map(int, input().split())\\n\\nans = []\\nwhile n > 0:\\n  ans.append(n % k)\\n  n /= k\\n  n = int(n)\\nprint(len(ans))\", \"N, K = list(map(int, input().split()))\\ncnt = 0\\nwhile N > 0:\\n    cnt += 1\\n    N //= K\\nprint(cnt)\", \"n, k = list(map(int, input().split()))\\na = 1\\nwhile n >= k ** a:\\n    a += 1\\nprint(a)\\n\\n\", \"n,k=map(int,input().split());p=[]\\nwhile n:\\n  p.append(n%k)\\n  n//=k\\nprint(len(p))\", \"def main():\\n  N, K = map(int, input().split())\\n  \\n  if N < K:\\n    print(1)\\n    return\\n\\n  cnt = 0\\n  while N > 0:\\n    N = N // K\\n    cnt += 1\\n\\n  print(cnt)\\n\\n\\nmain()\", \"n, k = list(map(int, input().split()))\\nl = []\\n\\nwhile (n > 0):\\n    l.append(n%k)\\n    n //= k\\nprint((len(l)))\\n\", \"N, K = map(int,input().split())\\ncount = 1\\nwhile N >= K:\\n    N = N // K\\n    count += 1\\nprint(count)\", \"N, K = map(int,input().split())\\nans = 1\\nwhile(N >= K):\\n    N = N//K\\n    ans += 1\\nprint(ans)\", \"def base10toK_base(num, K):\\n    if num // K:\\n        return base10toK_base(num//K, K) + str(num % K)\\n    return str(num % K)\\n\\nN, K = map(int, input().split())\\nans = len(base10toK_base(N, K))\\nprint(ans) \", \"n, k = list(map(int, input().split()))\\n\\nans = 0\\nwhile n != 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"n, k = map(int, input().split())\\nans=1\\nwhile k**ans <= n:\\n  ans += 1\\nprint(ans)\", \"n = input()\\nn = n.split()\\nk = int(n[1])\\nn = int(n[0])\\na = 1\\nb = 0\\nwhile a == 1:\\n    b = b + 1\\n    if k**b>n:\\n        a = 0\\nprint(b)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\nx = 1\\n\\nwhile x <= N:\\n  x *= K\\n  ans +=1\\n  \\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 0\\nwhile k**i <= n:\\n  i += 1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\n# k\\u306e\\u3079\\u304d\\u4e57\\u3067n\\u3092\\u8d85\\u3048\\u308b\\u6700\\u5927\\u306e\\u51aa\\u6570\\u3092\\u6c42\\u3081\\u308b\\n# \\u6700\\u5927\\u306e\\u51aa\\u6570\\u304b\\u3089\\u9806\\u306b\\u3068\\u308a\\u5c3d\\u304f\\u3057\\u3066\\u3044\\u304f\\n# \\u518d\\u5e30\\u3067\\u66f8\\u3051\\u308b\\uff1f\\n\\ndef max_beki(number, k):\\n    beki = 0\\n    while k**beki <= number:\\n        beki += 1\\n    return beki\\n\\nres = []\\nwaru_kazu = k**(max_beki(n, k) - 1)\\nwhile waru_kazu >= 1:\\n    shou = n//waru_kazu\\n    res.append(str(shou))\\n    n -= shou*waru_kazu\\n    waru_kazu /= k\\n\\nprint(len(res))\"]",
        "difficulty": "introductory",
        "input": "282475249 7\n",
        "output": "11\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_b"
    },
    {
        "id": 505,
        "task_id": 4368,
        "test_case_id": 7,
        "question": "Given is an integer N. Find the number of digits that N has in base K.\n\n-----Notes-----\nFor information on base-K representation, see Positional notation - Wikipedia.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 10^9\n - 2 \\leq K \\leq 10\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\n\n-----Output-----\nPrint the number of digits that N has in base K.\n\n-----Sample Input-----\n11 2\n\n-----Sample Output-----\n4\n\nIn binary, 11 is represented as 1011.",
        "solutions": "[\"n, k = list(map(int, input().split()))\\nans = 0\\n\\nwhile int(n) > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"N, K = map(int, input().split())\\nn = N\\ni = 1\\n\\nwhile 1 > 0:\\n  n = n // K\\n  if n == 0:\\n    print(i)\\n    break\\n  i += 1\", \"n,k = map(int,input().split())\\nl = []\\nwhile n != 0 :\\n    r = divmod(n,k)\\n    n = r[0]\\n    l.append(r[1])\\nprint(len(l))\", \"\\nn,k = list(map(int, input().split()))\\ni=0\\na=[]\\n\\nwhile n!=0:\\n    a.append(n%k)\\n\\n    n=n//k\\n    i=i+1\\n\\nprint((len(a)))\\n\\n\\n\\n\\n\", \"N, K=map(int, input().split())\\ncount=0\\nwhile True:\\n    if N >= pow(K, count):\\n        count+=1\\n    else:break\\nprint(count)\", \"def Base_10_to_n(X, n):\\n    if (int(X/n)):\\n        return Base_10_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn, k = map(int, input().split())\\nprint(len(list(Base_10_to_n(n, k))))\", \"N,K = map(int,input().split())\\nans = 0\\nwhile(K**ans <= N):\\n    ans += 1\\nprint(ans)\", \"nk = list(map(int, input().split()))\\nn, k = nk[0], nk[1]\\ndigit = 0\\n\\nwhile n > k ** digit - 1:\\n    digit += 1\\n\\nprint(digit)\\n\", \"n, k = map(int, input().split())\\n\\nans = 1\\nwhile(True):\\n    n = n//k\\n    if(n == 0):\\n        break\\n    ans += 1\\n\\nprint(ans)\", \"import math  \\ndef findNumberOfDigits(n, b): \\n    dig = (math.floor(math.log(n) /math.log(b)) + 1) \\n    return dig\\nn, k = map(int, input().strip().split())\\nprint(findNumberOfDigits(n, k))\", \"N,K=map(int,input().split())\\ni=0\\nwhile N>=1:\\n  N//=K\\n  i+=1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\nfor a in range(10**9):\\n    if k**a > n:\\n        print(a)\\n        break\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    #print(q)\\n    #print(mod)\\n    if q <=0 :\\n        break\\nif mod_list[-1] == 0:\\n    result = len(mod_list) - 1\\nelse:\\n    result =len(mod_list)\\nprint(result)\", \"N, K = map(int, input().split())\\n\\npower = 1\\n\\nwhile True:\\n    if N < K ** power:\\n        break\\n    else:\\n        power += 1\\n\\nprint(power)\", \"from math import log\\nN, K = map(int, input().split())\\nprint(int(log(N, K))+1)\", \"\\nn, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"n, k = list(map(int, input().split()))\\n\\nfor i in range(10 ** 9):\\n    if n < k ** i:\\n        print(i)\\n        break\\n\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    if q <=0 :\\n        break\\n\\nn_ary = int(\\\"\\\".join(map(str,mod_list[::-1])))\\nprint(len(str(n_ary)))\", \"N,K=map(int,input().split())\\nans=1\\nwhile N>1:\\n    N=N//K\\n    ans+=1\\nif N%K==0:\\n    ans-=1\\nprint(ans)\", \"n, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"N, K = map(int, input().split())\\ncnt = 0\\nwhile N//K != 0:\\n  N = N//K\\n  cnt += 1\\nprint(cnt+1)\", \"N, K = list(map(int, input().split()))\\n\\ni = 1\\nwhile N // K >= 1:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\\n\", \"N,K = map(int,input().split())\\nketa = 0\\nwhile N>0:\\n  N = N//K\\n  keta = keta + 1\\n\\nprint(keta)\", \"def readinput():\\n    n,k=list(map(int,input().split()))\\n    return n,k\\n\\ndef main(n,k):\\n    keta = 0\\n    while n > 0:\\n        keta += 1\\n        r = n % k\\n        n = n // k\\n    return keta\\n\\ndef __starting_point():\\n    n,k=readinput()\\n    ans=main(n,k)\\n    print(ans)\\n\\n__starting_point()\", \"import os, sys, re, math\\n\\n(N, K) = [int(n) for n in input().split()]\\n\\nd = 0\\na = K ** 0\\nwhile a <= N:\\n    d += 1\\n    a *= K\\n\\nprint(d)\\n\", \"N,K=map(int,input().split())\\nresult=1\\nwhile N>=K:\\n  N=int(N/K)\\n  result+=1\\nprint(result)\", \"n, k = map(int, input().split())\\nans = 1\\nwhile n>=k:\\n    n = n//k\\n    ans += 1\\nprint(ans)\", \"def L():\\n  return list(map(int, input().split()))\\nimport math\\n[n,k]=L()\\n\\nprint(math.floor(math.log(n,k))+1)\", \"n, k = list(map(int, input().split()))\\nlists = []\\nans = 0\\n\\nwhile int(n) > 0:\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 1\\nwhile n // k >  0:\\n    n = n // k\\n    i += 1\\nprint(i)\", \"import math\\nn, k = map(int, input().split())\\n\\nans = 0;\\nwhile(n):\\n    n = int(n / k)\\n    ans += 1\\n\\nprint(ans)\", \"n,k=map(int,input().split())\\ntotal=[]\\n\\nwhile True:\\n    if n>=k:\\n        total.append((n%k))\\n        n=n//k\\n    if n<k:\\n        total.append((n))\\n        break\\nprint(len(total))\", \"N, K = map(int, input().split())\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n, k = map(int, input().split())\\na = 1\\nb = n\\nwhile b >= k:\\n    b = b / k\\n    a += 1\\nprint(a)\", \"def answer(n: int, k: int) -> int:\\n    digits = 0\\n    while 0 < n:\\n        n //= k\\n        digits += 1\\n\\n    return digits\\n\\n\\ndef main():\\n    n, k = map(int, input().split())\\n    print(answer(n, k))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, K = map(int, input().split())\\ni = 0\\nwhile N != 0:\\n    N //= K\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ni = 1\\ncnt = 0\\nwhile i <= n:\\n    i *= k\\n    cnt += 1\\nprint(cnt)\", \"def Base_10_to_n(X, n):\\n    if int(X/n):\\n        return Base_10_to_n(int(X/n), n) + str(X%n)\\n    return str(X%n)\\n\\nN, K = list(map(int, input().split()))\\nprint((len(Base_10_to_n(N,K))))\\n\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(1000):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"n,k = map(int,input().split())\\nketa = 1\\nwhile k ** keta <= n:\\n    keta += 1\\nprint(keta)\", \"N,K = list(map(int,input().split()))\\n\\nans = 0\\nwhile True:\\n    if not N - K**ans >= 0:\\n        print(ans)\\n        break\\n    else:\\n        ans += 1\\n\", \"N,K = map(int,input().split())\\nketa = 1\\n\\nwhile N >= K:\\n    keta += 1\\n    N = N / K\\nprint(keta)\", \"import math\\nn, k = map(int, input().split())\\nx = int(math.log(n)//math.log(k)) + 1\\nprint(x)\", \"n, k = map(int, input().split())\\ncount = 0\\nwhile n != 0:\\n  n = n//k\\n  count += 1\\nprint(count)\", \"def main():\\n\\tt, n = list(map(int, input().split()))\\n\\tbinary = 0\\n\\tctr = 0\\n\\ttemp = t  \\n#calculating binary\\n\\twhile(temp > 0):\\n\\t\\tbinary = ((temp%n)*(10**ctr)) + binary\\n\\t\\ttemp = int(temp/n)\\n\\t\\tctr += 1\\n\\treturn len(str(binary))\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"N, K = map(int, input().split())\\n\\nn = 1\\n\\nwhile N >= K**n:\\n    n += 1\\n\\nprint(n)\", \"N,K = map(int,input().split())\\nans = 0\\n\\nwhile(N>0):\\n    N= N//K\\n    ans += 1\\n\\nprint(ans)\", \"# \\u6574\\u6570N\\u3092K\\u9032\\u6570\\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nN,K = map(int,input().split())\\n\\ni = 0\\nwhile N > 0:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\n\\nwhile N >= K:\\n    N = N // K\\n    ans += 1\\n\\nprint((ans + 1))\\n\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n != 0:\\n    n //= k\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans \\n    count += 1\\n\\nprint(count)\", \"N, K = map(int, input().split())\\n# N\\u304c\\u5341\\u9032\\u6570\\u306e\\u3068\\u304d\\u3001N\\u3088\\u308aK\\u306ei\\u4e57\\u304c\\u8d85\\u3048\\u305f\\u6570\\u306e\\u3068\\u304d\\u3001\\n# i\\u304cK\\u9032\\u6570\\u306e\\u6841\\u6570\\nfor i in range(10 ** 9):\\n    if N < K ** i:\\n        print(i)\\n        break\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(100):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"N,K=map(int,input().split())\\n\\ndef ans156(N:int, K:int):\\n    length=1#0\\u6841\\u306f\\u306a\\u3044\\u305f\\u3081\\u30011\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\n    while True:\\n        if N<K:\\n            break\\n        N=int(N/K)#\\u5272\\u308a\\u5207\\u308c\\u308b\\u3054\\u3068\\u306b1\\u6841\\u305a\\u3064\\u5897\\u3048\\u3066\\u3044\\u304f\\u3002\\n        length+=1\\n    return length\\n\\nprint(ans156(N,K))\", \"n, k = map(int, input().split())\\nlists = []\\nans = 0\\n\\nwhile True:\\n    if n < k:\\n        ans += 1\\n        break\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\n# \\u6574\\u6570N \\u3092 K\\u9032\\u6570 \\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u51fa\\u529b\\n# \\u4f4d\\u53d6\\u308a\\u8a18\\u6570\\u6cd5\\uff1ahttps://xtech.nikkei.com/atcl/learning/lecture/19/00049/00001/\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n,k = map(int,input().split())\\ncnt = 0\\nwhile n//k != 0:\\n    n = n//k\\n    cnt += 1\\n\\nprint(cnt+1)\", \"def resolve():\\n\\tn,k = map(int,input().split())\\n\\tans  = 0\\n\\twhile n!=0:\\n\\t\\tn = n//k\\n\\t\\tans += 1\\n\\tprint(ans)\\nresolve()\", \"N,K=map(int,input().split())\\nrank=1\\nS=K\\n\\nwhile N>=S:\\n  rank+=1\\n  S*=K\\n#  print(S)\\n  \\nprint(rank)\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\nans=0\\nwhile N>0:\\n  N//=K\\n  ans+=1\\nprint(ans)\", \"N, K = map(int, input().split())\\ni = 0\\nwhile K ** i <= N:\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ncounter = 0\\nwhile(n >= k):\\n  n = n//k\\n  counter = counter + 1\\nprint(counter+1)\", \"N, K = map(int, input().split())\\n\\n# \\u4f59\\u308a\\u3092\\u4ed8\\u3051\\u52a0\\u3048\\u3066\\u3044\\u304f\\u6587\\u5b57\\u5217\\u3092\\u5b9a\\u7fa9\\nans_str = ''\\n\\n# \\u5272\\u308a\\u7b97\\u306e\\u5546\\u3092\\u8868\\u3059\\u5909\\u6570\\u3092\\u5b9a\\u7fa9\\nn = N\\n\\nwhile (n>=K):\\n    n = n//K\\n    ans_str += str(n%K)\\n    # print(f'n\\uff1a{n}')\\nans_str += str(n)\\n# print(ans_str[::-1])\\nprint(len(ans_str))\", \"N , K = map(int,input().split())\\n\\nD = []\\nwhile (N > 0):\\n    D.append(N % K)\\n    N = N // K\\n\\nprint(len(D))\", \"n,k=list(map(int, input().split()))\\ni=0\\nwhile True:\\n  if k**i>n:\\n    print(i)\\n    break\\n  i+=1\\n\", \"import queue\\nN,K = map(int,input().split())\\nans = queue.Queue()\\nwhile N >= K:\\n    N,amari = divmod(N,K)\\n    ans.put(amari)\\nans.put(N)\\nanswer = \\\"\\\"\\nwhile not ans.empty():\\n    answer += str(ans.get())\\nprint(len(answer))\", \"n,k = map(int, input().split())\\ncnt = 0\\nwhile n>0:\\n  cnt += 1\\n  n //= k\\nprint(cnt)\", \"N,K = map(int, input().split())\\ncount = 0\\nwhile N > 0:\\n    N //= K\\n    count += 1\\n\\nprint(count)\", \"N,K=list(map(int,input().split()))\\nanswer=1\\n\\nif K==10:\\n  Str=str(N)\\n  answer=len(Str)\\n  print(answer)\\n  return\\n\\nwhile N//K>0:\\n  N=N//K\\n  answer+=1\\n\\nprint(answer)\\n\", \"N,K = map(int,input().split())\\n\\ni = 0\\nanslist = []\\nwhile True:\\n  if N>=K:\\n    i+=1\\n    anslist.append(N%K)\\n    N = N//K\\n    #print (N)\\n  if N<K:\\n    anslist.append(N)\\n    i+=1\\n    break\\n    \\nanslist.reverse()\\n#print (anslist)\\n#print (''.join(map(str, anslist)))\\nprint (i)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans\\n    count += 1\\n\\nprint(count)\", \"n,k=map(int,input().split())\\nnum=k\\nans=1\\nwhile num-1<n:\\n    ans+=1\\n    num*=k\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\nn = 1\\nwhile True:\\n    if K ** (n - 1) <= N < K ** n:\\n        break\\n    n += 1\\n\\nprint(n)\\nreturn\", \"import math\\nn,k=list(map(int,input().split()))\\na=int(math.log(n,k))+1\\nprint(a)\\n\", \"n, k = list(map(int, input().split()))\\n\\nanswer = n // k\\ncount = 1\\nwhile 0 < answer:\\n    answer = answer // k\\n    count += 1\\n\\nprint(count)\\n\", \"n, k = map(int, input().split())\\nans = 1\\nn1 = n\\nwhile n1 // k >= 1:\\n    n1 = n1 // k\\n    ans += 1\\nprint(ans)\", \"N, K = map(int, input().split())\\nprint(sum(N >= K ** i for i in range(99)))\", \"def Ten_to_n(X, n):\\n    if (int(X/n)):\\n        return Ten_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn,k=list(map(int, input().split()))\\nprint((len(Ten_to_n(n,k))))\\n\", \"integer, base = map(int, input().split())\\nconverted_number = ''\\nwhile integer > 0:\\n    converted_number += str(integer % base)\\n    integer //= base\\nprint(len(converted_number[::-1]))\", \"n, k = map(int, input().split())\\na = 1\\nb = k\\nwhile n >= b:\\n    b = b * k\\n    a += 1\\nprint(a)\", \"def calc_digits(n: int, k: int) -> str:\\n    if int(n / k):\\n        return calc_digits(int(n / k), k) + str(n % k)\\n\\n    return str(n % k)\\n\\n\\nn, k = list(map(int, input().split()))\\n\\nprint((len(calc_digits(n, k))))\\n\", \"N,K=map(int,input().split())\\ni = 0\\nwhile N >= K ** i :\\n    i += 1\\nelse :\\n    print(i)\", \"n, k = map(int, input().split())\\n\\nm = 0\\nwhile True:\\n    m += 1\\n    if k**m > n:\\n        print(m)\\n        break\", \"n, k = map(int, input().split())\\n\\nans = []\\nwhile n > 0:\\n  ans.append(n % k)\\n  n /= k\\n  n = int(n)\\nprint(len(ans))\", \"N, K = list(map(int, input().split()))\\ncnt = 0\\nwhile N > 0:\\n    cnt += 1\\n    N //= K\\nprint(cnt)\", \"n, k = list(map(int, input().split()))\\na = 1\\nwhile n >= k ** a:\\n    a += 1\\nprint(a)\\n\\n\", \"n,k=map(int,input().split());p=[]\\nwhile n:\\n  p.append(n%k)\\n  n//=k\\nprint(len(p))\", \"def main():\\n  N, K = map(int, input().split())\\n  \\n  if N < K:\\n    print(1)\\n    return\\n\\n  cnt = 0\\n  while N > 0:\\n    N = N // K\\n    cnt += 1\\n\\n  print(cnt)\\n\\n\\nmain()\", \"n, k = list(map(int, input().split()))\\nl = []\\n\\nwhile (n > 0):\\n    l.append(n%k)\\n    n //= k\\nprint((len(l)))\\n\", \"N, K = map(int,input().split())\\ncount = 1\\nwhile N >= K:\\n    N = N // K\\n    count += 1\\nprint(count)\", \"N, K = map(int,input().split())\\nans = 1\\nwhile(N >= K):\\n    N = N//K\\n    ans += 1\\nprint(ans)\", \"def base10toK_base(num, K):\\n    if num // K:\\n        return base10toK_base(num//K, K) + str(num % K)\\n    return str(num % K)\\n\\nN, K = map(int, input().split())\\nans = len(base10toK_base(N, K))\\nprint(ans) \", \"n, k = list(map(int, input().split()))\\n\\nans = 0\\nwhile n != 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"n, k = map(int, input().split())\\nans=1\\nwhile k**ans <= n:\\n  ans += 1\\nprint(ans)\", \"n = input()\\nn = n.split()\\nk = int(n[1])\\nn = int(n[0])\\na = 1\\nb = 0\\nwhile a == 1:\\n    b = b + 1\\n    if k**b>n:\\n        a = 0\\nprint(b)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\nx = 1\\n\\nwhile x <= N:\\n  x *= K\\n  ans +=1\\n  \\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 0\\nwhile k**i <= n:\\n  i += 1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\n# k\\u306e\\u3079\\u304d\\u4e57\\u3067n\\u3092\\u8d85\\u3048\\u308b\\u6700\\u5927\\u306e\\u51aa\\u6570\\u3092\\u6c42\\u3081\\u308b\\n# \\u6700\\u5927\\u306e\\u51aa\\u6570\\u304b\\u3089\\u9806\\u306b\\u3068\\u308a\\u5c3d\\u304f\\u3057\\u3066\\u3044\\u304f\\n# \\u518d\\u5e30\\u3067\\u66f8\\u3051\\u308b\\uff1f\\n\\ndef max_beki(number, k):\\n    beki = 0\\n    while k**beki <= number:\\n        beki += 1\\n    return beki\\n\\nres = []\\nwaru_kazu = k**(max_beki(n, k) - 1)\\nwhile waru_kazu >= 1:\\n    shou = n//waru_kazu\\n    res.append(str(shou))\\n    n -= shou*waru_kazu\\n    waru_kazu /= k\\n\\nprint(len(res))\"]",
        "difficulty": "introductory",
        "input": "282475248 7\n",
        "output": "10\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_b"
    },
    {
        "id": 506,
        "task_id": 4368,
        "test_case_id": 8,
        "question": "Given is an integer N. Find the number of digits that N has in base K.\n\n-----Notes-----\nFor information on base-K representation, see Positional notation - Wikipedia.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 10^9\n - 2 \\leq K \\leq 10\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\n\n-----Output-----\nPrint the number of digits that N has in base K.\n\n-----Sample Input-----\n11 2\n\n-----Sample Output-----\n4\n\nIn binary, 11 is represented as 1011.",
        "solutions": "[\"n, k = list(map(int, input().split()))\\nans = 0\\n\\nwhile int(n) > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"N, K = map(int, input().split())\\nn = N\\ni = 1\\n\\nwhile 1 > 0:\\n  n = n // K\\n  if n == 0:\\n    print(i)\\n    break\\n  i += 1\", \"n,k = map(int,input().split())\\nl = []\\nwhile n != 0 :\\n    r = divmod(n,k)\\n    n = r[0]\\n    l.append(r[1])\\nprint(len(l))\", \"\\nn,k = list(map(int, input().split()))\\ni=0\\na=[]\\n\\nwhile n!=0:\\n    a.append(n%k)\\n\\n    n=n//k\\n    i=i+1\\n\\nprint((len(a)))\\n\\n\\n\\n\\n\", \"N, K=map(int, input().split())\\ncount=0\\nwhile True:\\n    if N >= pow(K, count):\\n        count+=1\\n    else:break\\nprint(count)\", \"def Base_10_to_n(X, n):\\n    if (int(X/n)):\\n        return Base_10_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn, k = map(int, input().split())\\nprint(len(list(Base_10_to_n(n, k))))\", \"N,K = map(int,input().split())\\nans = 0\\nwhile(K**ans <= N):\\n    ans += 1\\nprint(ans)\", \"nk = list(map(int, input().split()))\\nn, k = nk[0], nk[1]\\ndigit = 0\\n\\nwhile n > k ** digit - 1:\\n    digit += 1\\n\\nprint(digit)\\n\", \"n, k = map(int, input().split())\\n\\nans = 1\\nwhile(True):\\n    n = n//k\\n    if(n == 0):\\n        break\\n    ans += 1\\n\\nprint(ans)\", \"import math  \\ndef findNumberOfDigits(n, b): \\n    dig = (math.floor(math.log(n) /math.log(b)) + 1) \\n    return dig\\nn, k = map(int, input().strip().split())\\nprint(findNumberOfDigits(n, k))\", \"N,K=map(int,input().split())\\ni=0\\nwhile N>=1:\\n  N//=K\\n  i+=1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\nfor a in range(10**9):\\n    if k**a > n:\\n        print(a)\\n        break\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    #print(q)\\n    #print(mod)\\n    if q <=0 :\\n        break\\nif mod_list[-1] == 0:\\n    result = len(mod_list) - 1\\nelse:\\n    result =len(mod_list)\\nprint(result)\", \"N, K = map(int, input().split())\\n\\npower = 1\\n\\nwhile True:\\n    if N < K ** power:\\n        break\\n    else:\\n        power += 1\\n\\nprint(power)\", \"from math import log\\nN, K = map(int, input().split())\\nprint(int(log(N, K))+1)\", \"\\nn, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"n, k = list(map(int, input().split()))\\n\\nfor i in range(10 ** 9):\\n    if n < k ** i:\\n        print(i)\\n        break\\n\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    if q <=0 :\\n        break\\n\\nn_ary = int(\\\"\\\".join(map(str,mod_list[::-1])))\\nprint(len(str(n_ary)))\", \"N,K=map(int,input().split())\\nans=1\\nwhile N>1:\\n    N=N//K\\n    ans+=1\\nif N%K==0:\\n    ans-=1\\nprint(ans)\", \"n, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"N, K = map(int, input().split())\\ncnt = 0\\nwhile N//K != 0:\\n  N = N//K\\n  cnt += 1\\nprint(cnt+1)\", \"N, K = list(map(int, input().split()))\\n\\ni = 1\\nwhile N // K >= 1:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\\n\", \"N,K = map(int,input().split())\\nketa = 0\\nwhile N>0:\\n  N = N//K\\n  keta = keta + 1\\n\\nprint(keta)\", \"def readinput():\\n    n,k=list(map(int,input().split()))\\n    return n,k\\n\\ndef main(n,k):\\n    keta = 0\\n    while n > 0:\\n        keta += 1\\n        r = n % k\\n        n = n // k\\n    return keta\\n\\ndef __starting_point():\\n    n,k=readinput()\\n    ans=main(n,k)\\n    print(ans)\\n\\n__starting_point()\", \"import os, sys, re, math\\n\\n(N, K) = [int(n) for n in input().split()]\\n\\nd = 0\\na = K ** 0\\nwhile a <= N:\\n    d += 1\\n    a *= K\\n\\nprint(d)\\n\", \"N,K=map(int,input().split())\\nresult=1\\nwhile N>=K:\\n  N=int(N/K)\\n  result+=1\\nprint(result)\", \"n, k = map(int, input().split())\\nans = 1\\nwhile n>=k:\\n    n = n//k\\n    ans += 1\\nprint(ans)\", \"def L():\\n  return list(map(int, input().split()))\\nimport math\\n[n,k]=L()\\n\\nprint(math.floor(math.log(n,k))+1)\", \"n, k = list(map(int, input().split()))\\nlists = []\\nans = 0\\n\\nwhile int(n) > 0:\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 1\\nwhile n // k >  0:\\n    n = n // k\\n    i += 1\\nprint(i)\", \"import math\\nn, k = map(int, input().split())\\n\\nans = 0;\\nwhile(n):\\n    n = int(n / k)\\n    ans += 1\\n\\nprint(ans)\", \"n,k=map(int,input().split())\\ntotal=[]\\n\\nwhile True:\\n    if n>=k:\\n        total.append((n%k))\\n        n=n//k\\n    if n<k:\\n        total.append((n))\\n        break\\nprint(len(total))\", \"N, K = map(int, input().split())\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n, k = map(int, input().split())\\na = 1\\nb = n\\nwhile b >= k:\\n    b = b / k\\n    a += 1\\nprint(a)\", \"def answer(n: int, k: int) -> int:\\n    digits = 0\\n    while 0 < n:\\n        n //= k\\n        digits += 1\\n\\n    return digits\\n\\n\\ndef main():\\n    n, k = map(int, input().split())\\n    print(answer(n, k))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, K = map(int, input().split())\\ni = 0\\nwhile N != 0:\\n    N //= K\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ni = 1\\ncnt = 0\\nwhile i <= n:\\n    i *= k\\n    cnt += 1\\nprint(cnt)\", \"def Base_10_to_n(X, n):\\n    if int(X/n):\\n        return Base_10_to_n(int(X/n), n) + str(X%n)\\n    return str(X%n)\\n\\nN, K = list(map(int, input().split()))\\nprint((len(Base_10_to_n(N,K))))\\n\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(1000):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"n,k = map(int,input().split())\\nketa = 1\\nwhile k ** keta <= n:\\n    keta += 1\\nprint(keta)\", \"N,K = list(map(int,input().split()))\\n\\nans = 0\\nwhile True:\\n    if not N - K**ans >= 0:\\n        print(ans)\\n        break\\n    else:\\n        ans += 1\\n\", \"N,K = map(int,input().split())\\nketa = 1\\n\\nwhile N >= K:\\n    keta += 1\\n    N = N / K\\nprint(keta)\", \"import math\\nn, k = map(int, input().split())\\nx = int(math.log(n)//math.log(k)) + 1\\nprint(x)\", \"n, k = map(int, input().split())\\ncount = 0\\nwhile n != 0:\\n  n = n//k\\n  count += 1\\nprint(count)\", \"def main():\\n\\tt, n = list(map(int, input().split()))\\n\\tbinary = 0\\n\\tctr = 0\\n\\ttemp = t  \\n#calculating binary\\n\\twhile(temp > 0):\\n\\t\\tbinary = ((temp%n)*(10**ctr)) + binary\\n\\t\\ttemp = int(temp/n)\\n\\t\\tctr += 1\\n\\treturn len(str(binary))\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"N, K = map(int, input().split())\\n\\nn = 1\\n\\nwhile N >= K**n:\\n    n += 1\\n\\nprint(n)\", \"N,K = map(int,input().split())\\nans = 0\\n\\nwhile(N>0):\\n    N= N//K\\n    ans += 1\\n\\nprint(ans)\", \"# \\u6574\\u6570N\\u3092K\\u9032\\u6570\\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nN,K = map(int,input().split())\\n\\ni = 0\\nwhile N > 0:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\n\\nwhile N >= K:\\n    N = N // K\\n    ans += 1\\n\\nprint((ans + 1))\\n\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n != 0:\\n    n //= k\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans \\n    count += 1\\n\\nprint(count)\", \"N, K = map(int, input().split())\\n# N\\u304c\\u5341\\u9032\\u6570\\u306e\\u3068\\u304d\\u3001N\\u3088\\u308aK\\u306ei\\u4e57\\u304c\\u8d85\\u3048\\u305f\\u6570\\u306e\\u3068\\u304d\\u3001\\n# i\\u304cK\\u9032\\u6570\\u306e\\u6841\\u6570\\nfor i in range(10 ** 9):\\n    if N < K ** i:\\n        print(i)\\n        break\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(100):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"N,K=map(int,input().split())\\n\\ndef ans156(N:int, K:int):\\n    length=1#0\\u6841\\u306f\\u306a\\u3044\\u305f\\u3081\\u30011\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\n    while True:\\n        if N<K:\\n            break\\n        N=int(N/K)#\\u5272\\u308a\\u5207\\u308c\\u308b\\u3054\\u3068\\u306b1\\u6841\\u305a\\u3064\\u5897\\u3048\\u3066\\u3044\\u304f\\u3002\\n        length+=1\\n    return length\\n\\nprint(ans156(N,K))\", \"n, k = map(int, input().split())\\nlists = []\\nans = 0\\n\\nwhile True:\\n    if n < k:\\n        ans += 1\\n        break\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\n# \\u6574\\u6570N \\u3092 K\\u9032\\u6570 \\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u51fa\\u529b\\n# \\u4f4d\\u53d6\\u308a\\u8a18\\u6570\\u6cd5\\uff1ahttps://xtech.nikkei.com/atcl/learning/lecture/19/00049/00001/\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n,k = map(int,input().split())\\ncnt = 0\\nwhile n//k != 0:\\n    n = n//k\\n    cnt += 1\\n\\nprint(cnt+1)\", \"def resolve():\\n\\tn,k = map(int,input().split())\\n\\tans  = 0\\n\\twhile n!=0:\\n\\t\\tn = n//k\\n\\t\\tans += 1\\n\\tprint(ans)\\nresolve()\", \"N,K=map(int,input().split())\\nrank=1\\nS=K\\n\\nwhile N>=S:\\n  rank+=1\\n  S*=K\\n#  print(S)\\n  \\nprint(rank)\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\nans=0\\nwhile N>0:\\n  N//=K\\n  ans+=1\\nprint(ans)\", \"N, K = map(int, input().split())\\ni = 0\\nwhile K ** i <= N:\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ncounter = 0\\nwhile(n >= k):\\n  n = n//k\\n  counter = counter + 1\\nprint(counter+1)\", \"N, K = map(int, input().split())\\n\\n# \\u4f59\\u308a\\u3092\\u4ed8\\u3051\\u52a0\\u3048\\u3066\\u3044\\u304f\\u6587\\u5b57\\u5217\\u3092\\u5b9a\\u7fa9\\nans_str = ''\\n\\n# \\u5272\\u308a\\u7b97\\u306e\\u5546\\u3092\\u8868\\u3059\\u5909\\u6570\\u3092\\u5b9a\\u7fa9\\nn = N\\n\\nwhile (n>=K):\\n    n = n//K\\n    ans_str += str(n%K)\\n    # print(f'n\\uff1a{n}')\\nans_str += str(n)\\n# print(ans_str[::-1])\\nprint(len(ans_str))\", \"N , K = map(int,input().split())\\n\\nD = []\\nwhile (N > 0):\\n    D.append(N % K)\\n    N = N // K\\n\\nprint(len(D))\", \"n,k=list(map(int, input().split()))\\ni=0\\nwhile True:\\n  if k**i>n:\\n    print(i)\\n    break\\n  i+=1\\n\", \"import queue\\nN,K = map(int,input().split())\\nans = queue.Queue()\\nwhile N >= K:\\n    N,amari = divmod(N,K)\\n    ans.put(amari)\\nans.put(N)\\nanswer = \\\"\\\"\\nwhile not ans.empty():\\n    answer += str(ans.get())\\nprint(len(answer))\", \"n,k = map(int, input().split())\\ncnt = 0\\nwhile n>0:\\n  cnt += 1\\n  n //= k\\nprint(cnt)\", \"N,K = map(int, input().split())\\ncount = 0\\nwhile N > 0:\\n    N //= K\\n    count += 1\\n\\nprint(count)\", \"N,K=list(map(int,input().split()))\\nanswer=1\\n\\nif K==10:\\n  Str=str(N)\\n  answer=len(Str)\\n  print(answer)\\n  return\\n\\nwhile N//K>0:\\n  N=N//K\\n  answer+=1\\n\\nprint(answer)\\n\", \"N,K = map(int,input().split())\\n\\ni = 0\\nanslist = []\\nwhile True:\\n  if N>=K:\\n    i+=1\\n    anslist.append(N%K)\\n    N = N//K\\n    #print (N)\\n  if N<K:\\n    anslist.append(N)\\n    i+=1\\n    break\\n    \\nanslist.reverse()\\n#print (anslist)\\n#print (''.join(map(str, anslist)))\\nprint (i)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans\\n    count += 1\\n\\nprint(count)\", \"n,k=map(int,input().split())\\nnum=k\\nans=1\\nwhile num-1<n:\\n    ans+=1\\n    num*=k\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\nn = 1\\nwhile True:\\n    if K ** (n - 1) <= N < K ** n:\\n        break\\n    n += 1\\n\\nprint(n)\\nreturn\", \"import math\\nn,k=list(map(int,input().split()))\\na=int(math.log(n,k))+1\\nprint(a)\\n\", \"n, k = list(map(int, input().split()))\\n\\nanswer = n // k\\ncount = 1\\nwhile 0 < answer:\\n    answer = answer // k\\n    count += 1\\n\\nprint(count)\\n\", \"n, k = map(int, input().split())\\nans = 1\\nn1 = n\\nwhile n1 // k >= 1:\\n    n1 = n1 // k\\n    ans += 1\\nprint(ans)\", \"N, K = map(int, input().split())\\nprint(sum(N >= K ** i for i in range(99)))\", \"def Ten_to_n(X, n):\\n    if (int(X/n)):\\n        return Ten_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn,k=list(map(int, input().split()))\\nprint((len(Ten_to_n(n,k))))\\n\", \"integer, base = map(int, input().split())\\nconverted_number = ''\\nwhile integer > 0:\\n    converted_number += str(integer % base)\\n    integer //= base\\nprint(len(converted_number[::-1]))\", \"n, k = map(int, input().split())\\na = 1\\nb = k\\nwhile n >= b:\\n    b = b * k\\n    a += 1\\nprint(a)\", \"def calc_digits(n: int, k: int) -> str:\\n    if int(n / k):\\n        return calc_digits(int(n / k), k) + str(n % k)\\n\\n    return str(n % k)\\n\\n\\nn, k = list(map(int, input().split()))\\n\\nprint((len(calc_digits(n, k))))\\n\", \"N,K=map(int,input().split())\\ni = 0\\nwhile N >= K ** i :\\n    i += 1\\nelse :\\n    print(i)\", \"n, k = map(int, input().split())\\n\\nm = 0\\nwhile True:\\n    m += 1\\n    if k**m > n:\\n        print(m)\\n        break\", \"n, k = map(int, input().split())\\n\\nans = []\\nwhile n > 0:\\n  ans.append(n % k)\\n  n /= k\\n  n = int(n)\\nprint(len(ans))\", \"N, K = list(map(int, input().split()))\\ncnt = 0\\nwhile N > 0:\\n    cnt += 1\\n    N //= K\\nprint(cnt)\", \"n, k = list(map(int, input().split()))\\na = 1\\nwhile n >= k ** a:\\n    a += 1\\nprint(a)\\n\\n\", \"n,k=map(int,input().split());p=[]\\nwhile n:\\n  p.append(n%k)\\n  n//=k\\nprint(len(p))\", \"def main():\\n  N, K = map(int, input().split())\\n  \\n  if N < K:\\n    print(1)\\n    return\\n\\n  cnt = 0\\n  while N > 0:\\n    N = N // K\\n    cnt += 1\\n\\n  print(cnt)\\n\\n\\nmain()\", \"n, k = list(map(int, input().split()))\\nl = []\\n\\nwhile (n > 0):\\n    l.append(n%k)\\n    n //= k\\nprint((len(l)))\\n\", \"N, K = map(int,input().split())\\ncount = 1\\nwhile N >= K:\\n    N = N // K\\n    count += 1\\nprint(count)\", \"N, K = map(int,input().split())\\nans = 1\\nwhile(N >= K):\\n    N = N//K\\n    ans += 1\\nprint(ans)\", \"def base10toK_base(num, K):\\n    if num // K:\\n        return base10toK_base(num//K, K) + str(num % K)\\n    return str(num % K)\\n\\nN, K = map(int, input().split())\\nans = len(base10toK_base(N, K))\\nprint(ans) \", \"n, k = list(map(int, input().split()))\\n\\nans = 0\\nwhile n != 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"n, k = map(int, input().split())\\nans=1\\nwhile k**ans <= n:\\n  ans += 1\\nprint(ans)\", \"n = input()\\nn = n.split()\\nk = int(n[1])\\nn = int(n[0])\\na = 1\\nb = 0\\nwhile a == 1:\\n    b = b + 1\\n    if k**b>n:\\n        a = 0\\nprint(b)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\nx = 1\\n\\nwhile x <= N:\\n  x *= K\\n  ans +=1\\n  \\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 0\\nwhile k**i <= n:\\n  i += 1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\n# k\\u306e\\u3079\\u304d\\u4e57\\u3067n\\u3092\\u8d85\\u3048\\u308b\\u6700\\u5927\\u306e\\u51aa\\u6570\\u3092\\u6c42\\u3081\\u308b\\n# \\u6700\\u5927\\u306e\\u51aa\\u6570\\u304b\\u3089\\u9806\\u306b\\u3068\\u308a\\u5c3d\\u304f\\u3057\\u3066\\u3044\\u304f\\n# \\u518d\\u5e30\\u3067\\u66f8\\u3051\\u308b\\uff1f\\n\\ndef max_beki(number, k):\\n    beki = 0\\n    while k**beki <= number:\\n        beki += 1\\n    return beki\\n\\nres = []\\nwaru_kazu = k**(max_beki(n, k) - 1)\\nwhile waru_kazu >= 1:\\n    shou = n//waru_kazu\\n    res.append(str(shou))\\n    n -= shou*waru_kazu\\n    waru_kazu /= k\\n\\nprint(len(res))\"]",
        "difficulty": "introductory",
        "input": "282475250 7\n",
        "output": "11\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_b"
    },
    {
        "id": 507,
        "task_id": 4368,
        "test_case_id": 9,
        "question": "Given is an integer N. Find the number of digits that N has in base K.\n\n-----Notes-----\nFor information on base-K representation, see Positional notation - Wikipedia.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 10^9\n - 2 \\leq K \\leq 10\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\n\n-----Output-----\nPrint the number of digits that N has in base K.\n\n-----Sample Input-----\n11 2\n\n-----Sample Output-----\n4\n\nIn binary, 11 is represented as 1011.",
        "solutions": "[\"n, k = list(map(int, input().split()))\\nans = 0\\n\\nwhile int(n) > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"N, K = map(int, input().split())\\nn = N\\ni = 1\\n\\nwhile 1 > 0:\\n  n = n // K\\n  if n == 0:\\n    print(i)\\n    break\\n  i += 1\", \"n,k = map(int,input().split())\\nl = []\\nwhile n != 0 :\\n    r = divmod(n,k)\\n    n = r[0]\\n    l.append(r[1])\\nprint(len(l))\", \"\\nn,k = list(map(int, input().split()))\\ni=0\\na=[]\\n\\nwhile n!=0:\\n    a.append(n%k)\\n\\n    n=n//k\\n    i=i+1\\n\\nprint((len(a)))\\n\\n\\n\\n\\n\", \"N, K=map(int, input().split())\\ncount=0\\nwhile True:\\n    if N >= pow(K, count):\\n        count+=1\\n    else:break\\nprint(count)\", \"def Base_10_to_n(X, n):\\n    if (int(X/n)):\\n        return Base_10_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn, k = map(int, input().split())\\nprint(len(list(Base_10_to_n(n, k))))\", \"N,K = map(int,input().split())\\nans = 0\\nwhile(K**ans <= N):\\n    ans += 1\\nprint(ans)\", \"nk = list(map(int, input().split()))\\nn, k = nk[0], nk[1]\\ndigit = 0\\n\\nwhile n > k ** digit - 1:\\n    digit += 1\\n\\nprint(digit)\\n\", \"n, k = map(int, input().split())\\n\\nans = 1\\nwhile(True):\\n    n = n//k\\n    if(n == 0):\\n        break\\n    ans += 1\\n\\nprint(ans)\", \"import math  \\ndef findNumberOfDigits(n, b): \\n    dig = (math.floor(math.log(n) /math.log(b)) + 1) \\n    return dig\\nn, k = map(int, input().strip().split())\\nprint(findNumberOfDigits(n, k))\", \"N,K=map(int,input().split())\\ni=0\\nwhile N>=1:\\n  N//=K\\n  i+=1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\nfor a in range(10**9):\\n    if k**a > n:\\n        print(a)\\n        break\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    #print(q)\\n    #print(mod)\\n    if q <=0 :\\n        break\\nif mod_list[-1] == 0:\\n    result = len(mod_list) - 1\\nelse:\\n    result =len(mod_list)\\nprint(result)\", \"N, K = map(int, input().split())\\n\\npower = 1\\n\\nwhile True:\\n    if N < K ** power:\\n        break\\n    else:\\n        power += 1\\n\\nprint(power)\", \"from math import log\\nN, K = map(int, input().split())\\nprint(int(log(N, K))+1)\", \"\\nn, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"n, k = list(map(int, input().split()))\\n\\nfor i in range(10 ** 9):\\n    if n < k ** i:\\n        print(i)\\n        break\\n\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    if q <=0 :\\n        break\\n\\nn_ary = int(\\\"\\\".join(map(str,mod_list[::-1])))\\nprint(len(str(n_ary)))\", \"N,K=map(int,input().split())\\nans=1\\nwhile N>1:\\n    N=N//K\\n    ans+=1\\nif N%K==0:\\n    ans-=1\\nprint(ans)\", \"n, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"N, K = map(int, input().split())\\ncnt = 0\\nwhile N//K != 0:\\n  N = N//K\\n  cnt += 1\\nprint(cnt+1)\", \"N, K = list(map(int, input().split()))\\n\\ni = 1\\nwhile N // K >= 1:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\\n\", \"N,K = map(int,input().split())\\nketa = 0\\nwhile N>0:\\n  N = N//K\\n  keta = keta + 1\\n\\nprint(keta)\", \"def readinput():\\n    n,k=list(map(int,input().split()))\\n    return n,k\\n\\ndef main(n,k):\\n    keta = 0\\n    while n > 0:\\n        keta += 1\\n        r = n % k\\n        n = n // k\\n    return keta\\n\\ndef __starting_point():\\n    n,k=readinput()\\n    ans=main(n,k)\\n    print(ans)\\n\\n__starting_point()\", \"import os, sys, re, math\\n\\n(N, K) = [int(n) for n in input().split()]\\n\\nd = 0\\na = K ** 0\\nwhile a <= N:\\n    d += 1\\n    a *= K\\n\\nprint(d)\\n\", \"N,K=map(int,input().split())\\nresult=1\\nwhile N>=K:\\n  N=int(N/K)\\n  result+=1\\nprint(result)\", \"n, k = map(int, input().split())\\nans = 1\\nwhile n>=k:\\n    n = n//k\\n    ans += 1\\nprint(ans)\", \"def L():\\n  return list(map(int, input().split()))\\nimport math\\n[n,k]=L()\\n\\nprint(math.floor(math.log(n,k))+1)\", \"n, k = list(map(int, input().split()))\\nlists = []\\nans = 0\\n\\nwhile int(n) > 0:\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 1\\nwhile n // k >  0:\\n    n = n // k\\n    i += 1\\nprint(i)\", \"import math\\nn, k = map(int, input().split())\\n\\nans = 0;\\nwhile(n):\\n    n = int(n / k)\\n    ans += 1\\n\\nprint(ans)\", \"n,k=map(int,input().split())\\ntotal=[]\\n\\nwhile True:\\n    if n>=k:\\n        total.append((n%k))\\n        n=n//k\\n    if n<k:\\n        total.append((n))\\n        break\\nprint(len(total))\", \"N, K = map(int, input().split())\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n, k = map(int, input().split())\\na = 1\\nb = n\\nwhile b >= k:\\n    b = b / k\\n    a += 1\\nprint(a)\", \"def answer(n: int, k: int) -> int:\\n    digits = 0\\n    while 0 < n:\\n        n //= k\\n        digits += 1\\n\\n    return digits\\n\\n\\ndef main():\\n    n, k = map(int, input().split())\\n    print(answer(n, k))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, K = map(int, input().split())\\ni = 0\\nwhile N != 0:\\n    N //= K\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ni = 1\\ncnt = 0\\nwhile i <= n:\\n    i *= k\\n    cnt += 1\\nprint(cnt)\", \"def Base_10_to_n(X, n):\\n    if int(X/n):\\n        return Base_10_to_n(int(X/n), n) + str(X%n)\\n    return str(X%n)\\n\\nN, K = list(map(int, input().split()))\\nprint((len(Base_10_to_n(N,K))))\\n\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(1000):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"n,k = map(int,input().split())\\nketa = 1\\nwhile k ** keta <= n:\\n    keta += 1\\nprint(keta)\", \"N,K = list(map(int,input().split()))\\n\\nans = 0\\nwhile True:\\n    if not N - K**ans >= 0:\\n        print(ans)\\n        break\\n    else:\\n        ans += 1\\n\", \"N,K = map(int,input().split())\\nketa = 1\\n\\nwhile N >= K:\\n    keta += 1\\n    N = N / K\\nprint(keta)\", \"import math\\nn, k = map(int, input().split())\\nx = int(math.log(n)//math.log(k)) + 1\\nprint(x)\", \"n, k = map(int, input().split())\\ncount = 0\\nwhile n != 0:\\n  n = n//k\\n  count += 1\\nprint(count)\", \"def main():\\n\\tt, n = list(map(int, input().split()))\\n\\tbinary = 0\\n\\tctr = 0\\n\\ttemp = t  \\n#calculating binary\\n\\twhile(temp > 0):\\n\\t\\tbinary = ((temp%n)*(10**ctr)) + binary\\n\\t\\ttemp = int(temp/n)\\n\\t\\tctr += 1\\n\\treturn len(str(binary))\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"N, K = map(int, input().split())\\n\\nn = 1\\n\\nwhile N >= K**n:\\n    n += 1\\n\\nprint(n)\", \"N,K = map(int,input().split())\\nans = 0\\n\\nwhile(N>0):\\n    N= N//K\\n    ans += 1\\n\\nprint(ans)\", \"# \\u6574\\u6570N\\u3092K\\u9032\\u6570\\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nN,K = map(int,input().split())\\n\\ni = 0\\nwhile N > 0:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\n\\nwhile N >= K:\\n    N = N // K\\n    ans += 1\\n\\nprint((ans + 1))\\n\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n != 0:\\n    n //= k\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans \\n    count += 1\\n\\nprint(count)\", \"N, K = map(int, input().split())\\n# N\\u304c\\u5341\\u9032\\u6570\\u306e\\u3068\\u304d\\u3001N\\u3088\\u308aK\\u306ei\\u4e57\\u304c\\u8d85\\u3048\\u305f\\u6570\\u306e\\u3068\\u304d\\u3001\\n# i\\u304cK\\u9032\\u6570\\u306e\\u6841\\u6570\\nfor i in range(10 ** 9):\\n    if N < K ** i:\\n        print(i)\\n        break\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(100):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"N,K=map(int,input().split())\\n\\ndef ans156(N:int, K:int):\\n    length=1#0\\u6841\\u306f\\u306a\\u3044\\u305f\\u3081\\u30011\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\n    while True:\\n        if N<K:\\n            break\\n        N=int(N/K)#\\u5272\\u308a\\u5207\\u308c\\u308b\\u3054\\u3068\\u306b1\\u6841\\u305a\\u3064\\u5897\\u3048\\u3066\\u3044\\u304f\\u3002\\n        length+=1\\n    return length\\n\\nprint(ans156(N,K))\", \"n, k = map(int, input().split())\\nlists = []\\nans = 0\\n\\nwhile True:\\n    if n < k:\\n        ans += 1\\n        break\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\n# \\u6574\\u6570N \\u3092 K\\u9032\\u6570 \\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u51fa\\u529b\\n# \\u4f4d\\u53d6\\u308a\\u8a18\\u6570\\u6cd5\\uff1ahttps://xtech.nikkei.com/atcl/learning/lecture/19/00049/00001/\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n,k = map(int,input().split())\\ncnt = 0\\nwhile n//k != 0:\\n    n = n//k\\n    cnt += 1\\n\\nprint(cnt+1)\", \"def resolve():\\n\\tn,k = map(int,input().split())\\n\\tans  = 0\\n\\twhile n!=0:\\n\\t\\tn = n//k\\n\\t\\tans += 1\\n\\tprint(ans)\\nresolve()\", \"N,K=map(int,input().split())\\nrank=1\\nS=K\\n\\nwhile N>=S:\\n  rank+=1\\n  S*=K\\n#  print(S)\\n  \\nprint(rank)\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\nans=0\\nwhile N>0:\\n  N//=K\\n  ans+=1\\nprint(ans)\", \"N, K = map(int, input().split())\\ni = 0\\nwhile K ** i <= N:\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ncounter = 0\\nwhile(n >= k):\\n  n = n//k\\n  counter = counter + 1\\nprint(counter+1)\", \"N, K = map(int, input().split())\\n\\n# \\u4f59\\u308a\\u3092\\u4ed8\\u3051\\u52a0\\u3048\\u3066\\u3044\\u304f\\u6587\\u5b57\\u5217\\u3092\\u5b9a\\u7fa9\\nans_str = ''\\n\\n# \\u5272\\u308a\\u7b97\\u306e\\u5546\\u3092\\u8868\\u3059\\u5909\\u6570\\u3092\\u5b9a\\u7fa9\\nn = N\\n\\nwhile (n>=K):\\n    n = n//K\\n    ans_str += str(n%K)\\n    # print(f'n\\uff1a{n}')\\nans_str += str(n)\\n# print(ans_str[::-1])\\nprint(len(ans_str))\", \"N , K = map(int,input().split())\\n\\nD = []\\nwhile (N > 0):\\n    D.append(N % K)\\n    N = N // K\\n\\nprint(len(D))\", \"n,k=list(map(int, input().split()))\\ni=0\\nwhile True:\\n  if k**i>n:\\n    print(i)\\n    break\\n  i+=1\\n\", \"import queue\\nN,K = map(int,input().split())\\nans = queue.Queue()\\nwhile N >= K:\\n    N,amari = divmod(N,K)\\n    ans.put(amari)\\nans.put(N)\\nanswer = \\\"\\\"\\nwhile not ans.empty():\\n    answer += str(ans.get())\\nprint(len(answer))\", \"n,k = map(int, input().split())\\ncnt = 0\\nwhile n>0:\\n  cnt += 1\\n  n //= k\\nprint(cnt)\", \"N,K = map(int, input().split())\\ncount = 0\\nwhile N > 0:\\n    N //= K\\n    count += 1\\n\\nprint(count)\", \"N,K=list(map(int,input().split()))\\nanswer=1\\n\\nif K==10:\\n  Str=str(N)\\n  answer=len(Str)\\n  print(answer)\\n  return\\n\\nwhile N//K>0:\\n  N=N//K\\n  answer+=1\\n\\nprint(answer)\\n\", \"N,K = map(int,input().split())\\n\\ni = 0\\nanslist = []\\nwhile True:\\n  if N>=K:\\n    i+=1\\n    anslist.append(N%K)\\n    N = N//K\\n    #print (N)\\n  if N<K:\\n    anslist.append(N)\\n    i+=1\\n    break\\n    \\nanslist.reverse()\\n#print (anslist)\\n#print (''.join(map(str, anslist)))\\nprint (i)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans\\n    count += 1\\n\\nprint(count)\", \"n,k=map(int,input().split())\\nnum=k\\nans=1\\nwhile num-1<n:\\n    ans+=1\\n    num*=k\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\nn = 1\\nwhile True:\\n    if K ** (n - 1) <= N < K ** n:\\n        break\\n    n += 1\\n\\nprint(n)\\nreturn\", \"import math\\nn,k=list(map(int,input().split()))\\na=int(math.log(n,k))+1\\nprint(a)\\n\", \"n, k = list(map(int, input().split()))\\n\\nanswer = n // k\\ncount = 1\\nwhile 0 < answer:\\n    answer = answer // k\\n    count += 1\\n\\nprint(count)\\n\", \"n, k = map(int, input().split())\\nans = 1\\nn1 = n\\nwhile n1 // k >= 1:\\n    n1 = n1 // k\\n    ans += 1\\nprint(ans)\", \"N, K = map(int, input().split())\\nprint(sum(N >= K ** i for i in range(99)))\", \"def Ten_to_n(X, n):\\n    if (int(X/n)):\\n        return Ten_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn,k=list(map(int, input().split()))\\nprint((len(Ten_to_n(n,k))))\\n\", \"integer, base = map(int, input().split())\\nconverted_number = ''\\nwhile integer > 0:\\n    converted_number += str(integer % base)\\n    integer //= base\\nprint(len(converted_number[::-1]))\", \"n, k = map(int, input().split())\\na = 1\\nb = k\\nwhile n >= b:\\n    b = b * k\\n    a += 1\\nprint(a)\", \"def calc_digits(n: int, k: int) -> str:\\n    if int(n / k):\\n        return calc_digits(int(n / k), k) + str(n % k)\\n\\n    return str(n % k)\\n\\n\\nn, k = list(map(int, input().split()))\\n\\nprint((len(calc_digits(n, k))))\\n\", \"N,K=map(int,input().split())\\ni = 0\\nwhile N >= K ** i :\\n    i += 1\\nelse :\\n    print(i)\", \"n, k = map(int, input().split())\\n\\nm = 0\\nwhile True:\\n    m += 1\\n    if k**m > n:\\n        print(m)\\n        break\", \"n, k = map(int, input().split())\\n\\nans = []\\nwhile n > 0:\\n  ans.append(n % k)\\n  n /= k\\n  n = int(n)\\nprint(len(ans))\", \"N, K = list(map(int, input().split()))\\ncnt = 0\\nwhile N > 0:\\n    cnt += 1\\n    N //= K\\nprint(cnt)\", \"n, k = list(map(int, input().split()))\\na = 1\\nwhile n >= k ** a:\\n    a += 1\\nprint(a)\\n\\n\", \"n,k=map(int,input().split());p=[]\\nwhile n:\\n  p.append(n%k)\\n  n//=k\\nprint(len(p))\", \"def main():\\n  N, K = map(int, input().split())\\n  \\n  if N < K:\\n    print(1)\\n    return\\n\\n  cnt = 0\\n  while N > 0:\\n    N = N // K\\n    cnt += 1\\n\\n  print(cnt)\\n\\n\\nmain()\", \"n, k = list(map(int, input().split()))\\nl = []\\n\\nwhile (n > 0):\\n    l.append(n%k)\\n    n //= k\\nprint((len(l)))\\n\", \"N, K = map(int,input().split())\\ncount = 1\\nwhile N >= K:\\n    N = N // K\\n    count += 1\\nprint(count)\", \"N, K = map(int,input().split())\\nans = 1\\nwhile(N >= K):\\n    N = N//K\\n    ans += 1\\nprint(ans)\", \"def base10toK_base(num, K):\\n    if num // K:\\n        return base10toK_base(num//K, K) + str(num % K)\\n    return str(num % K)\\n\\nN, K = map(int, input().split())\\nans = len(base10toK_base(N, K))\\nprint(ans) \", \"n, k = list(map(int, input().split()))\\n\\nans = 0\\nwhile n != 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"n, k = map(int, input().split())\\nans=1\\nwhile k**ans <= n:\\n  ans += 1\\nprint(ans)\", \"n = input()\\nn = n.split()\\nk = int(n[1])\\nn = int(n[0])\\na = 1\\nb = 0\\nwhile a == 1:\\n    b = b + 1\\n    if k**b>n:\\n        a = 0\\nprint(b)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\nx = 1\\n\\nwhile x <= N:\\n  x *= K\\n  ans +=1\\n  \\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 0\\nwhile k**i <= n:\\n  i += 1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\n# k\\u306e\\u3079\\u304d\\u4e57\\u3067n\\u3092\\u8d85\\u3048\\u308b\\u6700\\u5927\\u306e\\u51aa\\u6570\\u3092\\u6c42\\u3081\\u308b\\n# \\u6700\\u5927\\u306e\\u51aa\\u6570\\u304b\\u3089\\u9806\\u306b\\u3068\\u308a\\u5c3d\\u304f\\u3057\\u3066\\u3044\\u304f\\n# \\u518d\\u5e30\\u3067\\u66f8\\u3051\\u308b\\uff1f\\n\\ndef max_beki(number, k):\\n    beki = 0\\n    while k**beki <= number:\\n        beki += 1\\n    return beki\\n\\nres = []\\nwaru_kazu = k**(max_beki(n, k) - 1)\\nwhile waru_kazu >= 1:\\n    shou = n//waru_kazu\\n    res.append(str(shou))\\n    n -= shou*waru_kazu\\n    waru_kazu /= k\\n\\nprint(len(res))\"]",
        "difficulty": "introductory",
        "input": "25863031 5\n",
        "output": "11\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_b"
    },
    {
        "id": 508,
        "task_id": 4368,
        "test_case_id": 10,
        "question": "Given is an integer N. Find the number of digits that N has in base K.\n\n-----Notes-----\nFor information on base-K representation, see Positional notation - Wikipedia.\n\n-----Constraints-----\n - All values in input are integers.\n - 1 \\leq N \\leq 10^9\n - 2 \\leq K \\leq 10\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN K\n\n-----Output-----\nPrint the number of digits that N has in base K.\n\n-----Sample Input-----\n11 2\n\n-----Sample Output-----\n4\n\nIn binary, 11 is represented as 1011.",
        "solutions": "[\"n, k = list(map(int, input().split()))\\nans = 0\\n\\nwhile int(n) > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"N, K = map(int, input().split())\\nn = N\\ni = 1\\n\\nwhile 1 > 0:\\n  n = n // K\\n  if n == 0:\\n    print(i)\\n    break\\n  i += 1\", \"n,k = map(int,input().split())\\nl = []\\nwhile n != 0 :\\n    r = divmod(n,k)\\n    n = r[0]\\n    l.append(r[1])\\nprint(len(l))\", \"\\nn,k = list(map(int, input().split()))\\ni=0\\na=[]\\n\\nwhile n!=0:\\n    a.append(n%k)\\n\\n    n=n//k\\n    i=i+1\\n\\nprint((len(a)))\\n\\n\\n\\n\\n\", \"N, K=map(int, input().split())\\ncount=0\\nwhile True:\\n    if N >= pow(K, count):\\n        count+=1\\n    else:break\\nprint(count)\", \"def Base_10_to_n(X, n):\\n    if (int(X/n)):\\n        return Base_10_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn, k = map(int, input().split())\\nprint(len(list(Base_10_to_n(n, k))))\", \"N,K = map(int,input().split())\\nans = 0\\nwhile(K**ans <= N):\\n    ans += 1\\nprint(ans)\", \"nk = list(map(int, input().split()))\\nn, k = nk[0], nk[1]\\ndigit = 0\\n\\nwhile n > k ** digit - 1:\\n    digit += 1\\n\\nprint(digit)\\n\", \"n, k = map(int, input().split())\\n\\nans = 1\\nwhile(True):\\n    n = n//k\\n    if(n == 0):\\n        break\\n    ans += 1\\n\\nprint(ans)\", \"import math  \\ndef findNumberOfDigits(n, b): \\n    dig = (math.floor(math.log(n) /math.log(b)) + 1) \\n    return dig\\nn, k = map(int, input().strip().split())\\nprint(findNumberOfDigits(n, k))\", \"N,K=map(int,input().split())\\ni=0\\nwhile N>=1:\\n  N//=K\\n  i+=1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\nfor a in range(10**9):\\n    if k**a > n:\\n        print(a)\\n        break\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    #print(q)\\n    #print(mod)\\n    if q <=0 :\\n        break\\nif mod_list[-1] == 0:\\n    result = len(mod_list) - 1\\nelse:\\n    result =len(mod_list)\\nprint(result)\", \"N, K = map(int, input().split())\\n\\npower = 1\\n\\nwhile True:\\n    if N < K ** power:\\n        break\\n    else:\\n        power += 1\\n\\nprint(power)\", \"from math import log\\nN, K = map(int, input().split())\\nprint(int(log(N, K))+1)\", \"\\nn, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"n, k = list(map(int, input().split()))\\n\\nfor i in range(10 ** 9):\\n    if n < k ** i:\\n        print(i)\\n        break\\n\", \"#https://atcoder.jp/contests/abc156/tasks/abc156_b\\nN,K = map(int,input().split())\\nq, mod = divmod(N,K)\\nmod_list = [mod]\\nwhile True:\\n    q , mod =divmod(q,K)\\n    mod_list.append(mod)\\n    if q <=0 :\\n        break\\n\\nn_ary = int(\\\"\\\".join(map(str,mod_list[::-1])))\\nprint(len(str(n_ary)))\", \"N,K=map(int,input().split())\\nans=1\\nwhile N>1:\\n    N=N//K\\n    ans+=1\\nif N%K==0:\\n    ans-=1\\nprint(ans)\", \"n, k = map(int, input().split())\\nlists = []\\n\\nwhile True:\\n    if n < k:\\n        lists.append(n)\\n        break\\n    n, b = divmod(n, k)\\n    lists.append(b)\\n\\nans_list = reversed(lists)\\nprint(len(''.join(map(str, ans_list))))\", \"N, K = map(int, input().split())\\ncnt = 0\\nwhile N//K != 0:\\n  N = N//K\\n  cnt += 1\\nprint(cnt+1)\", \"N, K = list(map(int, input().split()))\\n\\ni = 1\\nwhile N // K >= 1:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\\n\", \"N,K = map(int,input().split())\\nketa = 0\\nwhile N>0:\\n  N = N//K\\n  keta = keta + 1\\n\\nprint(keta)\", \"def readinput():\\n    n,k=list(map(int,input().split()))\\n    return n,k\\n\\ndef main(n,k):\\n    keta = 0\\n    while n > 0:\\n        keta += 1\\n        r = n % k\\n        n = n // k\\n    return keta\\n\\ndef __starting_point():\\n    n,k=readinput()\\n    ans=main(n,k)\\n    print(ans)\\n\\n__starting_point()\", \"import os, sys, re, math\\n\\n(N, K) = [int(n) for n in input().split()]\\n\\nd = 0\\na = K ** 0\\nwhile a <= N:\\n    d += 1\\n    a *= K\\n\\nprint(d)\\n\", \"N,K=map(int,input().split())\\nresult=1\\nwhile N>=K:\\n  N=int(N/K)\\n  result+=1\\nprint(result)\", \"n, k = map(int, input().split())\\nans = 1\\nwhile n>=k:\\n    n = n//k\\n    ans += 1\\nprint(ans)\", \"def L():\\n  return list(map(int, input().split()))\\nimport math\\n[n,k]=L()\\n\\nprint(math.floor(math.log(n,k))+1)\", \"n, k = list(map(int, input().split()))\\nlists = []\\nans = 0\\n\\nwhile int(n) > 0:\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 1\\nwhile n // k >  0:\\n    n = n // k\\n    i += 1\\nprint(i)\", \"import math\\nn, k = map(int, input().split())\\n\\nans = 0;\\nwhile(n):\\n    n = int(n / k)\\n    ans += 1\\n\\nprint(ans)\", \"n,k=map(int,input().split())\\ntotal=[]\\n\\nwhile True:\\n    if n>=k:\\n        total.append((n%k))\\n        n=n//k\\n    if n<k:\\n        total.append((n))\\n        break\\nprint(len(total))\", \"N, K = map(int, input().split())\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n, k = map(int, input().split())\\na = 1\\nb = n\\nwhile b >= k:\\n    b = b / k\\n    a += 1\\nprint(a)\", \"def answer(n: int, k: int) -> int:\\n    digits = 0\\n    while 0 < n:\\n        n //= k\\n        digits += 1\\n\\n    return digits\\n\\n\\ndef main():\\n    n, k = map(int, input().split())\\n    print(answer(n, k))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"N, K = map(int, input().split())\\ni = 0\\nwhile N != 0:\\n    N //= K\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ni = 1\\ncnt = 0\\nwhile i <= n:\\n    i *= k\\n    cnt += 1\\nprint(cnt)\", \"def Base_10_to_n(X, n):\\n    if int(X/n):\\n        return Base_10_to_n(int(X/n), n) + str(X%n)\\n    return str(X%n)\\n\\nN, K = list(map(int, input().split()))\\nprint((len(Base_10_to_n(N,K))))\\n\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(1000):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"n,k = map(int,input().split())\\nketa = 1\\nwhile k ** keta <= n:\\n    keta += 1\\nprint(keta)\", \"N,K = list(map(int,input().split()))\\n\\nans = 0\\nwhile True:\\n    if not N - K**ans >= 0:\\n        print(ans)\\n        break\\n    else:\\n        ans += 1\\n\", \"N,K = map(int,input().split())\\nketa = 1\\n\\nwhile N >= K:\\n    keta += 1\\n    N = N / K\\nprint(keta)\", \"import math\\nn, k = map(int, input().split())\\nx = int(math.log(n)//math.log(k)) + 1\\nprint(x)\", \"n, k = map(int, input().split())\\ncount = 0\\nwhile n != 0:\\n  n = n//k\\n  count += 1\\nprint(count)\", \"def main():\\n\\tt, n = list(map(int, input().split()))\\n\\tbinary = 0\\n\\tctr = 0\\n\\ttemp = t  \\n#calculating binary\\n\\twhile(temp > 0):\\n\\t\\tbinary = ((temp%n)*(10**ctr)) + binary\\n\\t\\ttemp = int(temp/n)\\n\\t\\tctr += 1\\n\\treturn len(str(binary))\\n\\ndef __starting_point():\\n    print((main()))\\n\\n__starting_point()\", \"N, K = map(int, input().split())\\n\\nn = 1\\n\\nwhile N >= K**n:\\n    n += 1\\n\\nprint(n)\", \"N,K = map(int,input().split())\\nans = 0\\n\\nwhile(N>0):\\n    N= N//K\\n    ans += 1\\n\\nprint(ans)\", \"# \\u6574\\u6570N\\u3092K\\u9032\\u6570\\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nN,K = map(int,input().split())\\n\\ni = 0\\nwhile N > 0:\\n    N = N // K\\n    i += 1\\n\\nprint(i)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\n\\nwhile N >= K:\\n    N = N // K\\n    ans += 1\\n\\nprint((ans + 1))\\n\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n != 0:\\n    n //= k\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans \\n    count += 1\\n\\nprint(count)\", \"N, K = map(int, input().split())\\n# N\\u304c\\u5341\\u9032\\u6570\\u306e\\u3068\\u304d\\u3001N\\u3088\\u308aK\\u306ei\\u4e57\\u304c\\u8d85\\u3048\\u305f\\u6570\\u306e\\u3068\\u304d\\u3001\\n# i\\u304cK\\u9032\\u6570\\u306e\\u6841\\u6570\\nfor i in range(10 ** 9):\\n    if N < K ** i:\\n        print(i)\\n        break\", \"#abc156b\\nn,k = map(int,input().split())\\nfor i in range(100):\\n    if k**i <= n and n <= k**(i+1)-1:\\n        print(i+1)\\n        break\", \"N,K=map(int,input().split())\\n\\ndef ans156(N:int, K:int):\\n    length=1#0\\u6841\\u306f\\u306a\\u3044\\u305f\\u3081\\u30011\\u304b\\u3089\\u30b9\\u30bf\\u30fc\\u30c8\\n    while True:\\n        if N<K:\\n            break\\n        N=int(N/K)#\\u5272\\u308a\\u5207\\u308c\\u308b\\u3054\\u3068\\u306b1\\u6841\\u305a\\u3064\\u5897\\u3048\\u3066\\u3044\\u304f\\u3002\\n        length+=1\\n    return length\\n\\nprint(ans156(N,K))\", \"n, k = map(int, input().split())\\nlists = []\\nans = 0\\n\\nwhile True:\\n    if n < k:\\n        ans += 1\\n        break\\n    n, b = divmod(n, k)\\n    ans += 1\\n\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\n# \\u6574\\u6570N \\u3092 K\\u9032\\u6570 \\u3067\\u8868\\u3057\\u305f\\u3068\\u304d\\u3001\\u4f55\\u6841\\u306b\\u306a\\u308b\\u304b\\u3092\\u51fa\\u529b\\n# \\u4f4d\\u53d6\\u308a\\u8a18\\u6570\\u6cd5\\uff1ahttps://xtech.nikkei.com/atcl/learning/lecture/19/00049/00001/\\n\\ndigit = 0\\n\\nwhile N > 0:\\n    N = N // K\\n    digit += 1\\n\\nprint(digit)\", \"n,k = map(int,input().split())\\ncnt = 0\\nwhile n//k != 0:\\n    n = n//k\\n    cnt += 1\\n\\nprint(cnt+1)\", \"def resolve():\\n\\tn,k = map(int,input().split())\\n\\tans  = 0\\n\\twhile n!=0:\\n\\t\\tn = n//k\\n\\t\\tans += 1\\n\\tprint(ans)\\nresolve()\", \"N,K=map(int,input().split())\\nrank=1\\nS=K\\n\\nwhile N>=S:\\n  rank+=1\\n  S*=K\\n#  print(S)\\n  \\nprint(rank)\", \"n, k = map(int, input().split())\\nans = 0\\n\\nwhile n > 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\", \"N,K=map(int,input().split())\\nans=0\\nwhile N>0:\\n  N//=K\\n  ans+=1\\nprint(ans)\", \"N, K = map(int, input().split())\\ni = 0\\nwhile K ** i <= N:\\n    i += 1\\nprint(i)\", \"n,k = map(int,input().split())\\ncounter = 0\\nwhile(n >= k):\\n  n = n//k\\n  counter = counter + 1\\nprint(counter+1)\", \"N, K = map(int, input().split())\\n\\n# \\u4f59\\u308a\\u3092\\u4ed8\\u3051\\u52a0\\u3048\\u3066\\u3044\\u304f\\u6587\\u5b57\\u5217\\u3092\\u5b9a\\u7fa9\\nans_str = ''\\n\\n# \\u5272\\u308a\\u7b97\\u306e\\u5546\\u3092\\u8868\\u3059\\u5909\\u6570\\u3092\\u5b9a\\u7fa9\\nn = N\\n\\nwhile (n>=K):\\n    n = n//K\\n    ans_str += str(n%K)\\n    # print(f'n\\uff1a{n}')\\nans_str += str(n)\\n# print(ans_str[::-1])\\nprint(len(ans_str))\", \"N , K = map(int,input().split())\\n\\nD = []\\nwhile (N > 0):\\n    D.append(N % K)\\n    N = N // K\\n\\nprint(len(D))\", \"n,k=list(map(int, input().split()))\\ni=0\\nwhile True:\\n  if k**i>n:\\n    print(i)\\n    break\\n  i+=1\\n\", \"import queue\\nN,K = map(int,input().split())\\nans = queue.Queue()\\nwhile N >= K:\\n    N,amari = divmod(N,K)\\n    ans.put(amari)\\nans.put(N)\\nanswer = \\\"\\\"\\nwhile not ans.empty():\\n    answer += str(ans.get())\\nprint(len(answer))\", \"n,k = map(int, input().split())\\ncnt = 0\\nwhile n>0:\\n  cnt += 1\\n  n //= k\\nprint(cnt)\", \"N,K = map(int, input().split())\\ncount = 0\\nwhile N > 0:\\n    N //= K\\n    count += 1\\n\\nprint(count)\", \"N,K=list(map(int,input().split()))\\nanswer=1\\n\\nif K==10:\\n  Str=str(N)\\n  answer=len(Str)\\n  print(answer)\\n  return\\n\\nwhile N//K>0:\\n  N=N//K\\n  answer+=1\\n\\nprint(answer)\\n\", \"N,K = map(int,input().split())\\n\\ni = 0\\nanslist = []\\nwhile True:\\n  if N>=K:\\n    i+=1\\n    anslist.append(N%K)\\n    N = N//K\\n    #print (N)\\n  if N<K:\\n    anslist.append(N)\\n    i+=1\\n    break\\n    \\nanslist.reverse()\\n#print (anslist)\\n#print (''.join(map(str, anslist)))\\nprint (i)\", \"N, K = map(int,input().split())\\ncount = 0\\n\\nwhile N >= 1:\\n    ans = N // K\\n    N = ans\\n    count += 1\\n\\nprint(count)\", \"n,k=map(int,input().split())\\nnum=k\\nans=1\\nwhile num-1<n:\\n    ans+=1\\n    num*=k\\nprint(ans)\", \"N, K = map(int, input().split())\\n\\nn = 1\\nwhile True:\\n    if K ** (n - 1) <= N < K ** n:\\n        break\\n    n += 1\\n\\nprint(n)\\nreturn\", \"import math\\nn,k=list(map(int,input().split()))\\na=int(math.log(n,k))+1\\nprint(a)\\n\", \"n, k = list(map(int, input().split()))\\n\\nanswer = n // k\\ncount = 1\\nwhile 0 < answer:\\n    answer = answer // k\\n    count += 1\\n\\nprint(count)\\n\", \"n, k = map(int, input().split())\\nans = 1\\nn1 = n\\nwhile n1 // k >= 1:\\n    n1 = n1 // k\\n    ans += 1\\nprint(ans)\", \"N, K = map(int, input().split())\\nprint(sum(N >= K ** i for i in range(99)))\", \"def Ten_to_n(X, n):\\n    if (int(X/n)):\\n        return Ten_to_n(int(X/n), n)+str(X%n)\\n    return str(X%n)\\n\\nn,k=list(map(int, input().split()))\\nprint((len(Ten_to_n(n,k))))\\n\", \"integer, base = map(int, input().split())\\nconverted_number = ''\\nwhile integer > 0:\\n    converted_number += str(integer % base)\\n    integer //= base\\nprint(len(converted_number[::-1]))\", \"n, k = map(int, input().split())\\na = 1\\nb = k\\nwhile n >= b:\\n    b = b * k\\n    a += 1\\nprint(a)\", \"def calc_digits(n: int, k: int) -> str:\\n    if int(n / k):\\n        return calc_digits(int(n / k), k) + str(n % k)\\n\\n    return str(n % k)\\n\\n\\nn, k = list(map(int, input().split()))\\n\\nprint((len(calc_digits(n, k))))\\n\", \"N,K=map(int,input().split())\\ni = 0\\nwhile N >= K ** i :\\n    i += 1\\nelse :\\n    print(i)\", \"n, k = map(int, input().split())\\n\\nm = 0\\nwhile True:\\n    m += 1\\n    if k**m > n:\\n        print(m)\\n        break\", \"n, k = map(int, input().split())\\n\\nans = []\\nwhile n > 0:\\n  ans.append(n % k)\\n  n /= k\\n  n = int(n)\\nprint(len(ans))\", \"N, K = list(map(int, input().split()))\\ncnt = 0\\nwhile N > 0:\\n    cnt += 1\\n    N //= K\\nprint(cnt)\", \"n, k = list(map(int, input().split()))\\na = 1\\nwhile n >= k ** a:\\n    a += 1\\nprint(a)\\n\\n\", \"n,k=map(int,input().split());p=[]\\nwhile n:\\n  p.append(n%k)\\n  n//=k\\nprint(len(p))\", \"def main():\\n  N, K = map(int, input().split())\\n  \\n  if N < K:\\n    print(1)\\n    return\\n\\n  cnt = 0\\n  while N > 0:\\n    N = N // K\\n    cnt += 1\\n\\n  print(cnt)\\n\\n\\nmain()\", \"n, k = list(map(int, input().split()))\\nl = []\\n\\nwhile (n > 0):\\n    l.append(n%k)\\n    n //= k\\nprint((len(l)))\\n\", \"N, K = map(int,input().split())\\ncount = 1\\nwhile N >= K:\\n    N = N // K\\n    count += 1\\nprint(count)\", \"N, K = map(int,input().split())\\nans = 1\\nwhile(N >= K):\\n    N = N//K\\n    ans += 1\\nprint(ans)\", \"def base10toK_base(num, K):\\n    if num // K:\\n        return base10toK_base(num//K, K) + str(num % K)\\n    return str(num % K)\\n\\nN, K = map(int, input().split())\\nans = len(base10toK_base(N, K))\\nprint(ans) \", \"n, k = list(map(int, input().split()))\\n\\nans = 0\\nwhile n != 0:\\n    n = n // k\\n    ans += 1\\n\\nprint(ans)\\n\", \"n, k = map(int, input().split())\\nans=1\\nwhile k**ans <= n:\\n  ans += 1\\nprint(ans)\", \"n = input()\\nn = n.split()\\nk = int(n[1])\\nn = int(n[0])\\na = 1\\nb = 0\\nwhile a == 1:\\n    b = b + 1\\n    if k**b>n:\\n        a = 0\\nprint(b)\", \"N, K = list(map(int,input().split()))\\n\\nans = 0\\nx = 1\\n\\nwhile x <= N:\\n  x *= K\\n  ans +=1\\n  \\nprint(ans)\\n\", \"n,k = map(int,input().split())\\ni = 0\\nwhile k**i <= n:\\n  i += 1\\nprint(i)\", \"n, k = map(int, input().split())\\n\\n# k\\u306e\\u3079\\u304d\\u4e57\\u3067n\\u3092\\u8d85\\u3048\\u308b\\u6700\\u5927\\u306e\\u51aa\\u6570\\u3092\\u6c42\\u3081\\u308b\\n# \\u6700\\u5927\\u306e\\u51aa\\u6570\\u304b\\u3089\\u9806\\u306b\\u3068\\u308a\\u5c3d\\u304f\\u3057\\u3066\\u3044\\u304f\\n# \\u518d\\u5e30\\u3067\\u66f8\\u3051\\u308b\\uff1f\\n\\ndef max_beki(number, k):\\n    beki = 0\\n    while k**beki <= number:\\n        beki += 1\\n    return beki\\n\\nres = []\\nwaru_kazu = k**(max_beki(n, k) - 1)\\nwhile waru_kazu >= 1:\\n    shou = n//waru_kazu\\n    res.append(str(shou))\\n    n -= shou*waru_kazu\\n    waru_kazu /= k\\n\\nprint(len(res))\"]",
        "difficulty": "introductory",
        "input": "801037529 8\n",
        "output": "10\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc156/tasks/abc156_b"
    },
    {
        "id": 509,
        "task_id": 4543,
        "test_case_id": 1,
        "question": "AtCoDeer the deer has found two positive integers, a and b.\nDetermine whether the concatenation of a and b in this order is a square number.\n\n-----Constraints-----\n - 1 ≤ a,b ≤ 100\n - a and b are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\na b\n\n-----Output-----\nIf the concatenation of a and b in this order is a square number, print Yes; otherwise, print No.\n\n-----Sample Input-----\n1 21\n\n-----Sample Output-----\nYes\n\nAs 121 = 11 × 11, it is a square number.",
        "solutions": "[\"\\n#ABC086B\\na,b = input().split()\\na += b\\na = int(a)\\nprint(\\\"Yes\\\" if int((a**.5))**2 == a else \\\"No\\\")\", \"a, b = input().split()\\nab = int(a+b)\\n\\nfor j in range(ab):\\n    if j ** 2 <= ab:\\n        if j ** 2 == ab:\\n            print(\\\"Yes\\\")\\n            return\\n    else:\\n        print(\\\"No\\\")\\n        return\", \"#-*-coding:utf-8-*-\\nimport sys\\nimport math\\ninput=sys.stdin.readline\\n\\ndef main():\\n    a,b = input().split()\\n    number=0\\n\\n    number=int(a+b)\\n    for i in range(100101):\\n        if i * i ==number:\\n            print(\\\"Yes\\\")\\n            return\\n        else:\\n            continue\\n    print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"a, b = (i for i in input().split())\\nc = int(a + b)\\nans = c ** 0.5\\nif float.is_integer(ans): print('Yes')\\nelse: print('No')\", \"a,b=map(str,input().split())\\nx = a+b\\nx = int(x)\\ny = x**0.5\\nif y.is_integer():\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b=input().split()\\nx=int(a)*10**len(b)+int(b)\\n\\nfor i in range(0,1000):\\n    if i*i==x:\\n        print(\\\"Yes\\\")\\n        break\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b=map(int,input().split())\\n\\ndef ans086(a:int, b:int):\\n    ab=int(str(a)+str(b))\\n    import math\\n    if int(math.sqrt(ab))**2==ab:\\n        return(\\\"Yes\\\")\\n    else:\\n        return(\\\"No\\\")\\n\\nprint(ans086(a,b))\", \"a,b=map(str,input().split())\\nans = a+b\\nif (int(ans) ** 0.5).is_integer():\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b = input().split()\\n\\na_b = a + b\\na_b = int(a_b)\\n\\nfor i in range(a_b):\\n    if i * i == a_b:\\n        print(\\\"Yes\\\")\\n        return\\nprint(\\\"No\\\")\", \"num = int(''.join(input().split()))\\nroot = num ** .5\\n\\nprint(('Yes' if root.is_integer() else 'No'))\\n\", \"import math\\nx = int(input().replace(' ',''))\\ny = int(math.sqrt(x))\\nif y * y == x:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"import math\\na,b = map(int, input().split())\\nab = str(a) + str(b)\\n\\nif math.sqrt(int(ab))%1 == 0:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\na, b = map(str, input().split())\\nans = int(a+b)\\nfor i in range(ans):\\n    route = pow(i, 2)\\n    if ans == route:\\n        print(\\\"Yes\\\")\\n        return\\nprint(\\\"No\\\")\", \"a, b = map(int, input().split())\\nm = b + a * 10 ** len(str(b))\\nfind = False;\\nfor i in range(m):\\n  if m == i ** 2:\\n    find = True;\\nif find:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a,b=list(map(str,input().split()))\\nc=int(a+b)\\nfor i in range(1,1001):\\n    if i**2==c:\\n        print(\\\"Yes\\\")\\n        return\\nprint(\\\"No\\\")\\nreturn\\n\", \"a, b = input().split()\\nx = int(a+b)\\nno = 0\\nfor i in range(1000):\\n    if x == i**2:\\n        print(\\\"Yes\\\")\\n    else:\\n        no += 1\\n        if no == 1000:\\n            print(\\\"No\\\")\", \"import math\\n\\ndef main():\\n    a, b = input().split(\\\" \\\")\\n    x = math.sqrt(int(a + b))\\n    \\n    print((\\\"Yes\\\" if x.is_integer() else \\\"No\\\"))\\n\\n\\nmain()\\n\", \"import math\\n\\na, b = input().split()\\ns = a + b\\ni = int(s)\\nr = math.sqrt(i)\\nif r.is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a, b = map(int,input().split())\\n\\nfor i in range(2, 400):\\n    if (10**(len(str(b))) * a + b) == i**2:\\n        ans = 'Yes'\\n        break\\n    else:\\n        ans = 'No'\\nprint(ans)\", \"N = int(input().replace(' ', ''))\\nprint('Yes' if N == int(N**(1/2))**2 else 'No')\", \"import math \\n\\nlist=input().split()\\n\\nnum=int(list[0]+list[1])\\n\\nnum_squrt=math.sqrt(num)\\n\\nif num_squrt.is_integer()==True:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\na,b = input().split()\\nn = int(a+b)\\nif math.sqrt(n) % 1 == 0:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b=map(str, input().split())\\nq=0\\nfor i in range(1000):\\n  if int(a+b)==i**2:\\n    print('Yes')\\n    q=1\\n    break\\nif q==0:\\n    print('No')\", \"import math\\na, b = map(str, input().split())\\n\\ns = a + b\\ns = int(s)\\nr = math.sqrt(s)\\nfr = r - int(r)\\nif fr == 0:\\n  print('Yes')\\nelse:\\n  print('No')\", \"import math\\n\\na, b = list(map(str, input().split()))\\nx = int(a + b)\\n\\nif math.sqrt(x).is_integer():\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"a,b = input().split()\\nc = int(a + b)\\nif (c**0.5).is_integer() == True:\\n    print('Yes')\\nelse:\\n    print('No')\", \"def resolve():\\n    from math import sqrt\\n    \\n    n = int(\\\"\\\".join(input().split()))\\n    print(\\\"Yes\\\" if n == int(sqrt(n)) ** 2 else \\\"No\\\")\\n\\n\\ndef __starting_point():\\n    resolve()\\n__starting_point()\", \"a, b = input().split()\\ns = int(a+b)\\nresult = 'No'\\nfor i in range(1,round(s)):\\n  if s/i == i:\\n    result = 'Yes'\\n    \\nprint(result)\", \"N = int(input().replace(\\\" \\\",\\\"\\\"))\\n\\nflag = False\\nfor i in range(1,10000):\\n  if N == i**2:\\n    flag = True\\n    break\\n  if N < i**2:\\n    break\\nif flag:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"p = input().split()\\na = int(f\\\"{p[0]}{p[1]}\\\")\\nprint( \\\"Yes\\\" if a == int((a ** 0.5)) **2 else \\\"No\\\")\", \"a,b=list(map(str,input().split()))\\nc=int(a+b)\\nx=c**(1/2)\\nif x.is_integer():\\n    print('Yes')\\nelse :\\n    print('No')\\n\", \"a,b=input().split()\\n\\nd=int(a+b)\\n\\nfor i in range(1000):\\n    if d==i**2:\\n        print(\\\"Yes\\\")\\n        break\\n\\nlis=[j**2!=d for j in range(1000)]\\nif all(lis)==True:\\n    print(\\\"No\\\")\\n\", \"import math\\n\\na, b = input().split()\\nnum = int(a+b)\\n\\nif math.sqrt(num).is_integer():\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b =list(map(str,input().split()))\\nx = int(a+b)**0.5\\n\\nif x - int(x) == 0:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a,b = list(input().split())\\nnum = int(a+b)\\nans = round(num**0.5)\\nif ans**2 == num:\\n\\tprint(\\\"Yes\\\")\\nelse:\\n\\tprint(\\\"No\\\")\", \"import math\\na,b = list(map(int,input().split()))\\nnumber = int(str(a)+str(b))\\nroot = math.sqrt(number)\\nif int(root + 0.5) ** 2 == number:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\na = input(\\\"\\\").split(\\\" \\\")\\na = [int(aa) for aa in a]\\nn = int(str(a[0])+str(a[1]))\\nr = math.sqrt(n)\\nif r**2 == int(r)**2:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b=list(map(str,input().split()))\\nc=a+b\\nc=int(c)\\nfor i in range(1001):\\n  if i**2==c:\\n    print(\\\"Yes\\\")\\n    return\\nprint(\\\"No\\\")\\n\", \"a, b = map(int, input().split())\\n\\nc = int(str(a)+str(b))\\n\\nl = []\\n\\nfor i in range(10, 100100):\\n    if (i ** .5).is_integer():\\n        l.append(i)\\n\\nfor i in l:\\n    if c == i:\\n        print('Yes')\\n        return\\n\\nprint('No')\", \"import math\\na, b = input().split()\\n\\nif math.sqrt(int(a + b)) == int(math.sqrt(int(a + b))):\\n  print('Yes')\\nelse:\\n  print('No')\", \"import math\\na,b = input().split()\\nq = int(a+b)\\nif math.sqrt(q)//1 == math.sqrt(q):\\n  print(\\\"Yes\\\")\\nelse:\\n  print('No')\", \"from math import sqrt\\na, b = input().split()\\nn = int(a+b)\\nprint(('Yes' if sqrt(n) == int(sqrt(n)) else 'No'))\\n\", \"import math\\ns = input()\\ns = int(s.replace(\\\" \\\", ''))\\nif math.sqrt(s) == int(math.sqrt(s)):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    ab = int(input().replace(\\\" \\\", \\\"\\\"))\\n    print((\\\"Yes\\\" if int(ab**.5)**2 == ab else \\\"No\\\"))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\n\\n\\ndef answer(a: int, b: int) -> str:\\n    joined_value = int(str(a) + str(b))\\n    return 'Yes' if math.sqrt(joined_value) % 1 == 0 else 'No'\\n\\n\\ndef main():\\n    a, b = list(map(int, input().split()))\\n    print((answer(a, b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\na, b = input().split()\\n\\njudge = int(a+b)\\n\\nif any(i**2 == judge for i in range(judge//2)):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import sys\\na,b=map(str,input().split())\\n\\nc=a+b\\nc=int(c)\\n\\nfor i in range(c//2):\\n    if c==i**2:\\n        print('Yes')\\n        return\\n\\nprint('No')\", \"#!/usr/bin/env python3\\nimport sys\\nsys.setrecursionlimit(10**6)\\n\\n\\na, b = list(map(str, input().split()))\\n\\n\\nnum = int(a+b)\\n\\nif num == int(num**0.5)**2:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"n=int(input().replace(\\\" \\\",\\\"\\\"))\\nprint(\\\"Yes\\\" if (n**0.5).is_integer() else \\\"No\\\")\", \"import math\\n\\na, b = input().split()\\nn = int(a + b)\\nprint('Yes') if math.sqrt(n) % 1 == 0 else print('No')\", \"a=int(input().replace(\\\" \\\",\\\"\\\"))\\nprint(\\\"Yes\\\" if int(a**0.5)==a**0.5 else 'No')\", \"a, b = map(str, input().split())\\nans = \\\"No\\\"\\nkey = int(a+b)\\nfor i in range(1000):\\n    if i**2 == key:\\n        ans =\\\"Yes\\\"\\n        break\\nprint(ans)\", \"import numpy as np\\n\\na, b = input().split(' ')\\n\\nc = int(a + b)\\n\\nsqrt_c = np.sqrt(c)//1\\n\\nif(sqrt_c**2 == c) :\\n  print(\\\"Yes\\\")\\nelse :\\n  print(\\\"No\\\")\", \"x = int(''.join(input().split()))\\na = 1\\nwhile True:\\n    aa = a * a\\n    if aa == x:\\n        print(\\\"Yes\\\")\\n        return\\n    elif aa > x:\\n        print(\\\"No\\\")\\n        return\\n    a += 1\", \"from math import ceil, sqrt\\na, b = input().split()\\n\\nsq = sqrt(int(a+b))\\nf = sq - int(sq)\\nprint(('Yes' if ceil(f) == 0 else 'No'))\\n\", \"a, b = [i for i in input().split()]\\nt = int(a + b)\\nans = 'No'\\nn = 1\\nwhile n*n <= t:\\n    if n*n == t:\\n        ans = 'Yes'\\n    n += 1\\nprint(ans)\\n\", \"import math\\nab=list(input().split())\\ns=int(''.join(ab))\\n\\nroot=int(math.sqrt(s))\\nif root*root==s: print('Yes')\\nelse: print('No')\", \"import math\\na, b = list(map(str, input().split()))\\n\\ntarget = math.sqrt(int(a+b))\\n\\nif target.is_integer():\\n    print('Yes')\\nelse:\\n    print('No')\\n\\n\", \"import math\\n\\na, b = input().split()\\nn = int(a + b)\\n\\nif n == round(math.sqrt(n))**2:\\n    print('Yes')\\nelse:\\n    print('No')\", \"import math\\na,b = input().split()\\nc = int(a + b)\\n\\nd = math.sqrt(c)\\nprint(\\\"Yes\\\" if d == int(d) else \\\"No\\\")\", \"a,b = map(str,input().split())\\nc = int(a + b)\\n\\nfor i in range(int(c ** 0.5), int(c ** 0.5) + 1 ):\\n    if i ** 2 == c:\\n        print('Yes')\\n        return\\n\\nprint('No')\", \"#!/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\nimport math\\n\\nIS = lambda: int(input())\\nIA = lambda: [int(x) for x in input().split()]\\n\\na, b = IA()\\n\\nab = int(str(a) + str(b))\\nrt = math.sqrt(ab)\\nprint((\\\"Yes\\\" if int(rt) ** 2 == ab else \\\"No\\\"))\\n\", \"#!/usr/bin/env python3\\nimport sys\\n\\nYES = \\\"Yes\\\"  # type: str\\nNO = \\\"No\\\"  # type: str\\n\\n\\ndef solve(a: int, b: int):\\n    c = int(str(a) + str(b))\\n    for i in range(400):\\n        if c == i*i:\\n            print(YES)\\n            break\\n    else:\\n        print(NO)\\n    return\\n\\n\\n# Generated by 1.1.7.1 https://github.com/kyuridenamida/atcoder-tools  (tips: You use the default template now. You can remove this line by using your custom template)\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    a = int(next(tokens))  # type: int\\n    b = int(next(tokens))  # type: int\\n    solve(a, b)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"a=input().split()\\nb=int(\\\"\\\".join(a))\\n\\nnum=int(100100**1/2)\\n\\nans=\\\"No\\\"\\nfor i in range(num):\\n    if i**2==b:\\n        ans=\\\"Yes\\\"\\n        break\\n    \\nprint(ans)\", \"a,b = input().split()\\nab = int(a+b)\\nprint(\\\"Yes\\\" if (ab**0.5).is_integer() else \\\"No\\\")\", \"import math\\na, b = list(map(int, input().split()))\\nc = 0\\n\\nif b < 10:\\n    c = a*10 + b\\nelif 10 <= b <= 99:\\n    c = a*100 + b\\nelif b == 100:\\n    c = a*1000 + b\\n\\nd = math.sqrt(c)\\n\\nif d.is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b = map(str,input().split())\\nc = int(a + b)\\nif c ** 0.5 ==int(c ** 0.5):\\n  print('Yes')\\nelse:\\n  print('No')\", \"print(('Yes' if int(''.join(input().split())) ** 0.5 % 1 == 0 else 'No'))\\n\\n\", \"a, b = input().split()\\nt = int(a + b)\\nans = 'No'\\nn = 1\\nwhile n*n <= t:\\n    if n*n == t:\\n        ans = 'Yes'\\n    n += 1\\nprint(ans)\", \"import math\\na,b = list(map(str,input().split()))\\nc = int(a+b)\\nif int(math.sqrt(c))**2 == c:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"a, b = input().split()\\nt = int(a + b)\\nfor i in range(1,10 ** 3):\\n    if t == (i * i):\\n        print('Yes')\\n        return\\nprint('No')\\n\", \"import sys\\nc = [i for i in input().split()]\\nab = int(c[0]+c[1])\\nfor i in range(int(100100**0.5)+1):\\n    if i**2 == ab:\\n        print(\\\"Yes\\\")\\n        return\\n\\nprint(\\\"No\\\")\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return map(int,input().split())\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\na = L()\\nb = \\\"\\\".join(a)\\nb = int(b)\\nfor i in range(1000):\\n    if b == i**2:\\n        print(\\\"Yes\\\")\\n        return\\n \\nprint(\\\"No\\\")\", \"# import math\\n# import statistics\\n#a=input()\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\ne1,e2 = list(map(str,input().split()))\\n#K = input()\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\ncount=0\\na=e1+e2\\nfor i in range(1,int(a)):\\n\\tif int(a)/int(i)==int(i):\\n\\t\\tcount+=1\\nif count>0:\\n\\tprint('Yes')\\nelse:\\n\\tprint('No')\\n\", \"n = int(input().replace(' ', ''))\\nx = int(n ** 0.5)\\nprint('Yes' if x * x == n else 'No')\", \"ab = int(input().replace(\\\" \\\", \\\"\\\"))\\nans = False\\nfor i in range(320):\\n    if i * i == ab:\\n        ans = True\\n        break\\nprint(\\\"Yes\\\") if ans else print(\\\"No\\\")\", \"ab = int(\\\"\\\".join(input().split()))**0.5\\n\\nif ab.is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\na, b = map(str, input().split( ))\\nA = int(a+b)\\n\\nif math.sqrt(A).is_integer() == True:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b=map(str,input().split())\\nab=int(a+b)\\n\\nans=\\\"No\\\"\\nfor i in range(1010):\\n    x=i**2\\n    if x==ab:\\n        ans=\\\"Yes\\\"\\n        break\\n\\nprint(ans)\", \"#!/usr/local/bin/python3\\n# https://atcoder.jp/contests/abc086/tasks/abc086_b\\nimport math\\n\\na, b = input().split()\\n\\nif math.sqrt(int(a+b)).is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b = map(int,input().split())\\nc = int(str(a) + str(b))\\nfor i in range(c):\\n    if i ** 2 == c:\\n        print('Yes')\\n        break\\n    elif i ** 2 > c:\\n        print('No')\\n        break\", \"n = int(\\\"\\\".join(input().split()))\\nx = n**0.5\\nif x == int(x):\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b = input().split()\\na = int(a + b)\\n\\nfor i in range(1000):\\n    if i ** 2 == a:\\n        print(\\\"Yes\\\")\\n        break\\nelse:\\n    print(\\\"No\\\")\\n\", \"import math\\na,b=input().split()\\nc=int(a+b)\\nd=math.sqrt(c)\\ne=math.floor(d)\\nif e**2==c:\\n    print('Yes')\\nelse:\\n    print('No')\", \"import math\\na, b = list(map(int, input().split()))\\nc = 0\\n\\nif b < 10:\\n    c = a*10 + b\\nelif 10 <= b <= 99:\\n    c = a*100 + b\\nelif b == 100:\\n    c = a*1000 + b\\n\\nd = math.sqrt(c)\\n\\nif d.is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"#\\n# abc086 b\\n#\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"1 21\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"Yes\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"100 100\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"No\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"12 10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"No\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    A, B = input().split()\\n\\n    C = int(A+B)\\n    for i in range(1, 100100):\\n        if i**2 == C:\\n            print(\\\"Yes\\\")\\n            break\\n    else:\\n        print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"a,b = map(str,input().split())\\nfrom math import sqrt\\nprint(\\\"Yes\\\" if sqrt(int(a+b)) == int(sqrt(int(a+b))) else \\\"No\\\")\", \"a,b=map(str,input().split())\\nc=a+b\\nfor i in range(1,350):\\n    if int(c)==i**2:\\n        print(\\\"Yes\\\")\\n        break\\nelse:\\n    print(\\\"No\\\")\", \"a,b = map(str,input().split())\\nc = int(a + b)\\nd = int(c ** 0.5)\\n\\n\\nif d ** 2 == c:\\n    print('Yes')\\nelse:\\n    print('No')\", \"import math\\na,b = map(str, input().split())\\nab = int(a+b)\\nsq = math.sqrt(ab)\\nif sq % 1 < 0.01:\\n  sq2 = sq**2\\n  if sq2 == ab:\\n    ans = 'Yes'\\n  else:\\n    ans = 'No'\\nelse:\\n  ans = 'No'\\nprint(ans)\", \"a, b = input().split()\\nab = int(a+b)\\nimport math\\nif math.sqrt(ab).is_integer():\\n  print('Yes')\\nelse:\\n  print('No')\", \"a,b=input().split()\\ns=0\\ns += int(b)\\ns += int(a)*(10**len(b))\\nfor i in range(320):\\n    if s==i*i:\\n        print('Yes')\\n        return\\nprint('No')\\n\", \"import math\\n\\na, b = map(int, input().split())\\nx = int(str(a) + str(b))\\nif math.sqrt(x) == math.ceil(math.sqrt(x)):\\n  print(\\\"Yes\\\")\\nelse :\\n  print(\\\"No\\\")\", \"a, b = list(map(str, input().split(\\\" \\\")))\\n\\nans = False\\nfor i in range(1000):\\n    if int(a + b) == i ** 2:\\n        ans = True\\n\\nprint((\\\"Yes\\\" if ans else \\\"No\\\"))\\n\", \"from math import sqrt\\na,b=input().split()\\nc=int(a+b)\\nd=int(sqrt(c))\\nprint(\\\"Yes\\\" if d**2==c else \\\"No\\\")\", \"a, b = input().split()\\nab = int(a+b)\\ni = 0\\nwhile i**2 <= ab:\\n    flag = (i**2 == ab)\\n    i = i+1\\nif flag:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\n\\na, b = map(str, input().split())\\n\\nX = int(a) * (10 ** len(b)) + int(b)\\n\\nif math.sqrt(X) % 1 == 0:\\n  print('Yes')\\nelse:\\n  print('No')\", \"from math import sqrt\\na, b = input().split()\\nc = a + b\\nif sqrt(int(c)) == int(sqrt(int(c))):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"from math import *\\nlst = input().split()\\n\\nif (sqrt(int(lst[0] + lst[1])) % 1) == 0:\\n   print('Yes')\\nelse:\\n   print('No')\", \"import math\\n\\na, b = input().split()\\nc = int(a + b)\\n\\nfor i in range(int(math.sqrt(c))+1):\\n  if c == i*i:\\n    print(\\\"Yes\\\")\\n    break\\nelse:\\n  print(\\\"No\\\")\\n  \\n\"]",
        "difficulty": "introductory",
        "input": "1 21\n",
        "output": "Yes\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc086/tasks/abc086_b"
    },
    {
        "id": 510,
        "task_id": 4543,
        "test_case_id": 2,
        "question": "AtCoDeer the deer has found two positive integers, a and b.\nDetermine whether the concatenation of a and b in this order is a square number.\n\n-----Constraints-----\n - 1 ≤ a,b ≤ 100\n - a and b are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\na b\n\n-----Output-----\nIf the concatenation of a and b in this order is a square number, print Yes; otherwise, print No.\n\n-----Sample Input-----\n1 21\n\n-----Sample Output-----\nYes\n\nAs 121 = 11 × 11, it is a square number.",
        "solutions": "[\"\\n#ABC086B\\na,b = input().split()\\na += b\\na = int(a)\\nprint(\\\"Yes\\\" if int((a**.5))**2 == a else \\\"No\\\")\", \"a, b = input().split()\\nab = int(a+b)\\n\\nfor j in range(ab):\\n    if j ** 2 <= ab:\\n        if j ** 2 == ab:\\n            print(\\\"Yes\\\")\\n            return\\n    else:\\n        print(\\\"No\\\")\\n        return\", \"#-*-coding:utf-8-*-\\nimport sys\\nimport math\\ninput=sys.stdin.readline\\n\\ndef main():\\n    a,b = input().split()\\n    number=0\\n\\n    number=int(a+b)\\n    for i in range(100101):\\n        if i * i ==number:\\n            print(\\\"Yes\\\")\\n            return\\n        else:\\n            continue\\n    print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"a, b = (i for i in input().split())\\nc = int(a + b)\\nans = c ** 0.5\\nif float.is_integer(ans): print('Yes')\\nelse: print('No')\", \"a,b=map(str,input().split())\\nx = a+b\\nx = int(x)\\ny = x**0.5\\nif y.is_integer():\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b=input().split()\\nx=int(a)*10**len(b)+int(b)\\n\\nfor i in range(0,1000):\\n    if i*i==x:\\n        print(\\\"Yes\\\")\\n        break\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b=map(int,input().split())\\n\\ndef ans086(a:int, b:int):\\n    ab=int(str(a)+str(b))\\n    import math\\n    if int(math.sqrt(ab))**2==ab:\\n        return(\\\"Yes\\\")\\n    else:\\n        return(\\\"No\\\")\\n\\nprint(ans086(a,b))\", \"a,b=map(str,input().split())\\nans = a+b\\nif (int(ans) ** 0.5).is_integer():\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b = input().split()\\n\\na_b = a + b\\na_b = int(a_b)\\n\\nfor i in range(a_b):\\n    if i * i == a_b:\\n        print(\\\"Yes\\\")\\n        return\\nprint(\\\"No\\\")\", \"num = int(''.join(input().split()))\\nroot = num ** .5\\n\\nprint(('Yes' if root.is_integer() else 'No'))\\n\", \"import math\\nx = int(input().replace(' ',''))\\ny = int(math.sqrt(x))\\nif y * y == x:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"import math\\na,b = map(int, input().split())\\nab = str(a) + str(b)\\n\\nif math.sqrt(int(ab))%1 == 0:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\na, b = map(str, input().split())\\nans = int(a+b)\\nfor i in range(ans):\\n    route = pow(i, 2)\\n    if ans == route:\\n        print(\\\"Yes\\\")\\n        return\\nprint(\\\"No\\\")\", \"a, b = map(int, input().split())\\nm = b + a * 10 ** len(str(b))\\nfind = False;\\nfor i in range(m):\\n  if m == i ** 2:\\n    find = True;\\nif find:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a,b=list(map(str,input().split()))\\nc=int(a+b)\\nfor i in range(1,1001):\\n    if i**2==c:\\n        print(\\\"Yes\\\")\\n        return\\nprint(\\\"No\\\")\\nreturn\\n\", \"a, b = input().split()\\nx = int(a+b)\\nno = 0\\nfor i in range(1000):\\n    if x == i**2:\\n        print(\\\"Yes\\\")\\n    else:\\n        no += 1\\n        if no == 1000:\\n            print(\\\"No\\\")\", \"import math\\n\\ndef main():\\n    a, b = input().split(\\\" \\\")\\n    x = math.sqrt(int(a + b))\\n    \\n    print((\\\"Yes\\\" if x.is_integer() else \\\"No\\\"))\\n\\n\\nmain()\\n\", \"import math\\n\\na, b = input().split()\\ns = a + b\\ni = int(s)\\nr = math.sqrt(i)\\nif r.is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a, b = map(int,input().split())\\n\\nfor i in range(2, 400):\\n    if (10**(len(str(b))) * a + b) == i**2:\\n        ans = 'Yes'\\n        break\\n    else:\\n        ans = 'No'\\nprint(ans)\", \"N = int(input().replace(' ', ''))\\nprint('Yes' if N == int(N**(1/2))**2 else 'No')\", \"import math \\n\\nlist=input().split()\\n\\nnum=int(list[0]+list[1])\\n\\nnum_squrt=math.sqrt(num)\\n\\nif num_squrt.is_integer()==True:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\na,b = input().split()\\nn = int(a+b)\\nif math.sqrt(n) % 1 == 0:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b=map(str, input().split())\\nq=0\\nfor i in range(1000):\\n  if int(a+b)==i**2:\\n    print('Yes')\\n    q=1\\n    break\\nif q==0:\\n    print('No')\", \"import math\\na, b = map(str, input().split())\\n\\ns = a + b\\ns = int(s)\\nr = math.sqrt(s)\\nfr = r - int(r)\\nif fr == 0:\\n  print('Yes')\\nelse:\\n  print('No')\", \"import math\\n\\na, b = list(map(str, input().split()))\\nx = int(a + b)\\n\\nif math.sqrt(x).is_integer():\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"a,b = input().split()\\nc = int(a + b)\\nif (c**0.5).is_integer() == True:\\n    print('Yes')\\nelse:\\n    print('No')\", \"def resolve():\\n    from math import sqrt\\n    \\n    n = int(\\\"\\\".join(input().split()))\\n    print(\\\"Yes\\\" if n == int(sqrt(n)) ** 2 else \\\"No\\\")\\n\\n\\ndef __starting_point():\\n    resolve()\\n__starting_point()\", \"a, b = input().split()\\ns = int(a+b)\\nresult = 'No'\\nfor i in range(1,round(s)):\\n  if s/i == i:\\n    result = 'Yes'\\n    \\nprint(result)\", \"N = int(input().replace(\\\" \\\",\\\"\\\"))\\n\\nflag = False\\nfor i in range(1,10000):\\n  if N == i**2:\\n    flag = True\\n    break\\n  if N < i**2:\\n    break\\nif flag:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"p = input().split()\\na = int(f\\\"{p[0]}{p[1]}\\\")\\nprint( \\\"Yes\\\" if a == int((a ** 0.5)) **2 else \\\"No\\\")\", \"a,b=list(map(str,input().split()))\\nc=int(a+b)\\nx=c**(1/2)\\nif x.is_integer():\\n    print('Yes')\\nelse :\\n    print('No')\\n\", \"a,b=input().split()\\n\\nd=int(a+b)\\n\\nfor i in range(1000):\\n    if d==i**2:\\n        print(\\\"Yes\\\")\\n        break\\n\\nlis=[j**2!=d for j in range(1000)]\\nif all(lis)==True:\\n    print(\\\"No\\\")\\n\", \"import math\\n\\na, b = input().split()\\nnum = int(a+b)\\n\\nif math.sqrt(num).is_integer():\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b =list(map(str,input().split()))\\nx = int(a+b)**0.5\\n\\nif x - int(x) == 0:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a,b = list(input().split())\\nnum = int(a+b)\\nans = round(num**0.5)\\nif ans**2 == num:\\n\\tprint(\\\"Yes\\\")\\nelse:\\n\\tprint(\\\"No\\\")\", \"import math\\na,b = list(map(int,input().split()))\\nnumber = int(str(a)+str(b))\\nroot = math.sqrt(number)\\nif int(root + 0.5) ** 2 == number:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\na = input(\\\"\\\").split(\\\" \\\")\\na = [int(aa) for aa in a]\\nn = int(str(a[0])+str(a[1]))\\nr = math.sqrt(n)\\nif r**2 == int(r)**2:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b=list(map(str,input().split()))\\nc=a+b\\nc=int(c)\\nfor i in range(1001):\\n  if i**2==c:\\n    print(\\\"Yes\\\")\\n    return\\nprint(\\\"No\\\")\\n\", \"a, b = map(int, input().split())\\n\\nc = int(str(a)+str(b))\\n\\nl = []\\n\\nfor i in range(10, 100100):\\n    if (i ** .5).is_integer():\\n        l.append(i)\\n\\nfor i in l:\\n    if c == i:\\n        print('Yes')\\n        return\\n\\nprint('No')\", \"import math\\na, b = input().split()\\n\\nif math.sqrt(int(a + b)) == int(math.sqrt(int(a + b))):\\n  print('Yes')\\nelse:\\n  print('No')\", \"import math\\na,b = input().split()\\nq = int(a+b)\\nif math.sqrt(q)//1 == math.sqrt(q):\\n  print(\\\"Yes\\\")\\nelse:\\n  print('No')\", \"from math import sqrt\\na, b = input().split()\\nn = int(a+b)\\nprint(('Yes' if sqrt(n) == int(sqrt(n)) else 'No'))\\n\", \"import math\\ns = input()\\ns = int(s.replace(\\\" \\\", ''))\\nif math.sqrt(s) == int(math.sqrt(s)):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    ab = int(input().replace(\\\" \\\", \\\"\\\"))\\n    print((\\\"Yes\\\" if int(ab**.5)**2 == ab else \\\"No\\\"))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\n\\n\\ndef answer(a: int, b: int) -> str:\\n    joined_value = int(str(a) + str(b))\\n    return 'Yes' if math.sqrt(joined_value) % 1 == 0 else 'No'\\n\\n\\ndef main():\\n    a, b = list(map(int, input().split()))\\n    print((answer(a, b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\na, b = input().split()\\n\\njudge = int(a+b)\\n\\nif any(i**2 == judge for i in range(judge//2)):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import sys\\na,b=map(str,input().split())\\n\\nc=a+b\\nc=int(c)\\n\\nfor i in range(c//2):\\n    if c==i**2:\\n        print('Yes')\\n        return\\n\\nprint('No')\", \"#!/usr/bin/env python3\\nimport sys\\nsys.setrecursionlimit(10**6)\\n\\n\\na, b = list(map(str, input().split()))\\n\\n\\nnum = int(a+b)\\n\\nif num == int(num**0.5)**2:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"n=int(input().replace(\\\" \\\",\\\"\\\"))\\nprint(\\\"Yes\\\" if (n**0.5).is_integer() else \\\"No\\\")\", \"import math\\n\\na, b = input().split()\\nn = int(a + b)\\nprint('Yes') if math.sqrt(n) % 1 == 0 else print('No')\", \"a=int(input().replace(\\\" \\\",\\\"\\\"))\\nprint(\\\"Yes\\\" if int(a**0.5)==a**0.5 else 'No')\", \"a, b = map(str, input().split())\\nans = \\\"No\\\"\\nkey = int(a+b)\\nfor i in range(1000):\\n    if i**2 == key:\\n        ans =\\\"Yes\\\"\\n        break\\nprint(ans)\", \"import numpy as np\\n\\na, b = input().split(' ')\\n\\nc = int(a + b)\\n\\nsqrt_c = np.sqrt(c)//1\\n\\nif(sqrt_c**2 == c) :\\n  print(\\\"Yes\\\")\\nelse :\\n  print(\\\"No\\\")\", \"x = int(''.join(input().split()))\\na = 1\\nwhile True:\\n    aa = a * a\\n    if aa == x:\\n        print(\\\"Yes\\\")\\n        return\\n    elif aa > x:\\n        print(\\\"No\\\")\\n        return\\n    a += 1\", \"from math import ceil, sqrt\\na, b = input().split()\\n\\nsq = sqrt(int(a+b))\\nf = sq - int(sq)\\nprint(('Yes' if ceil(f) == 0 else 'No'))\\n\", \"a, b = [i for i in input().split()]\\nt = int(a + b)\\nans = 'No'\\nn = 1\\nwhile n*n <= t:\\n    if n*n == t:\\n        ans = 'Yes'\\n    n += 1\\nprint(ans)\\n\", \"import math\\nab=list(input().split())\\ns=int(''.join(ab))\\n\\nroot=int(math.sqrt(s))\\nif root*root==s: print('Yes')\\nelse: print('No')\", \"import math\\na, b = list(map(str, input().split()))\\n\\ntarget = math.sqrt(int(a+b))\\n\\nif target.is_integer():\\n    print('Yes')\\nelse:\\n    print('No')\\n\\n\", \"import math\\n\\na, b = input().split()\\nn = int(a + b)\\n\\nif n == round(math.sqrt(n))**2:\\n    print('Yes')\\nelse:\\n    print('No')\", \"import math\\na,b = input().split()\\nc = int(a + b)\\n\\nd = math.sqrt(c)\\nprint(\\\"Yes\\\" if d == int(d) else \\\"No\\\")\", \"a,b = map(str,input().split())\\nc = int(a + b)\\n\\nfor i in range(int(c ** 0.5), int(c ** 0.5) + 1 ):\\n    if i ** 2 == c:\\n        print('Yes')\\n        return\\n\\nprint('No')\", \"#!/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\nimport math\\n\\nIS = lambda: int(input())\\nIA = lambda: [int(x) for x in input().split()]\\n\\na, b = IA()\\n\\nab = int(str(a) + str(b))\\nrt = math.sqrt(ab)\\nprint((\\\"Yes\\\" if int(rt) ** 2 == ab else \\\"No\\\"))\\n\", \"#!/usr/bin/env python3\\nimport sys\\n\\nYES = \\\"Yes\\\"  # type: str\\nNO = \\\"No\\\"  # type: str\\n\\n\\ndef solve(a: int, b: int):\\n    c = int(str(a) + str(b))\\n    for i in range(400):\\n        if c == i*i:\\n            print(YES)\\n            break\\n    else:\\n        print(NO)\\n    return\\n\\n\\n# Generated by 1.1.7.1 https://github.com/kyuridenamida/atcoder-tools  (tips: You use the default template now. You can remove this line by using your custom template)\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    a = int(next(tokens))  # type: int\\n    b = int(next(tokens))  # type: int\\n    solve(a, b)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"a=input().split()\\nb=int(\\\"\\\".join(a))\\n\\nnum=int(100100**1/2)\\n\\nans=\\\"No\\\"\\nfor i in range(num):\\n    if i**2==b:\\n        ans=\\\"Yes\\\"\\n        break\\n    \\nprint(ans)\", \"a,b = input().split()\\nab = int(a+b)\\nprint(\\\"Yes\\\" if (ab**0.5).is_integer() else \\\"No\\\")\", \"import math\\na, b = list(map(int, input().split()))\\nc = 0\\n\\nif b < 10:\\n    c = a*10 + b\\nelif 10 <= b <= 99:\\n    c = a*100 + b\\nelif b == 100:\\n    c = a*1000 + b\\n\\nd = math.sqrt(c)\\n\\nif d.is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b = map(str,input().split())\\nc = int(a + b)\\nif c ** 0.5 ==int(c ** 0.5):\\n  print('Yes')\\nelse:\\n  print('No')\", \"print(('Yes' if int(''.join(input().split())) ** 0.5 % 1 == 0 else 'No'))\\n\\n\", \"a, b = input().split()\\nt = int(a + b)\\nans = 'No'\\nn = 1\\nwhile n*n <= t:\\n    if n*n == t:\\n        ans = 'Yes'\\n    n += 1\\nprint(ans)\", \"import math\\na,b = list(map(str,input().split()))\\nc = int(a+b)\\nif int(math.sqrt(c))**2 == c:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"a, b = input().split()\\nt = int(a + b)\\nfor i in range(1,10 ** 3):\\n    if t == (i * i):\\n        print('Yes')\\n        return\\nprint('No')\\n\", \"import sys\\nc = [i for i in input().split()]\\nab = int(c[0]+c[1])\\nfor i in range(int(100100**0.5)+1):\\n    if i**2 == ab:\\n        print(\\\"Yes\\\")\\n        return\\n\\nprint(\\\"No\\\")\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return map(int,input().split())\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\na = L()\\nb = \\\"\\\".join(a)\\nb = int(b)\\nfor i in range(1000):\\n    if b == i**2:\\n        print(\\\"Yes\\\")\\n        return\\n \\nprint(\\\"No\\\")\", \"# import math\\n# import statistics\\n#a=input()\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\ne1,e2 = list(map(str,input().split()))\\n#K = input()\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\ncount=0\\na=e1+e2\\nfor i in range(1,int(a)):\\n\\tif int(a)/int(i)==int(i):\\n\\t\\tcount+=1\\nif count>0:\\n\\tprint('Yes')\\nelse:\\n\\tprint('No')\\n\", \"n = int(input().replace(' ', ''))\\nx = int(n ** 0.5)\\nprint('Yes' if x * x == n else 'No')\", \"ab = int(input().replace(\\\" \\\", \\\"\\\"))\\nans = False\\nfor i in range(320):\\n    if i * i == ab:\\n        ans = True\\n        break\\nprint(\\\"Yes\\\") if ans else print(\\\"No\\\")\", \"ab = int(\\\"\\\".join(input().split()))**0.5\\n\\nif ab.is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\na, b = map(str, input().split( ))\\nA = int(a+b)\\n\\nif math.sqrt(A).is_integer() == True:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b=map(str,input().split())\\nab=int(a+b)\\n\\nans=\\\"No\\\"\\nfor i in range(1010):\\n    x=i**2\\n    if x==ab:\\n        ans=\\\"Yes\\\"\\n        break\\n\\nprint(ans)\", \"#!/usr/local/bin/python3\\n# https://atcoder.jp/contests/abc086/tasks/abc086_b\\nimport math\\n\\na, b = input().split()\\n\\nif math.sqrt(int(a+b)).is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b = map(int,input().split())\\nc = int(str(a) + str(b))\\nfor i in range(c):\\n    if i ** 2 == c:\\n        print('Yes')\\n        break\\n    elif i ** 2 > c:\\n        print('No')\\n        break\", \"n = int(\\\"\\\".join(input().split()))\\nx = n**0.5\\nif x == int(x):\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b = input().split()\\na = int(a + b)\\n\\nfor i in range(1000):\\n    if i ** 2 == a:\\n        print(\\\"Yes\\\")\\n        break\\nelse:\\n    print(\\\"No\\\")\\n\", \"import math\\na,b=input().split()\\nc=int(a+b)\\nd=math.sqrt(c)\\ne=math.floor(d)\\nif e**2==c:\\n    print('Yes')\\nelse:\\n    print('No')\", \"import math\\na, b = list(map(int, input().split()))\\nc = 0\\n\\nif b < 10:\\n    c = a*10 + b\\nelif 10 <= b <= 99:\\n    c = a*100 + b\\nelif b == 100:\\n    c = a*1000 + b\\n\\nd = math.sqrt(c)\\n\\nif d.is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"#\\n# abc086 b\\n#\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"1 21\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"Yes\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"100 100\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"No\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"12 10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"No\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    A, B = input().split()\\n\\n    C = int(A+B)\\n    for i in range(1, 100100):\\n        if i**2 == C:\\n            print(\\\"Yes\\\")\\n            break\\n    else:\\n        print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"a,b = map(str,input().split())\\nfrom math import sqrt\\nprint(\\\"Yes\\\" if sqrt(int(a+b)) == int(sqrt(int(a+b))) else \\\"No\\\")\", \"a,b=map(str,input().split())\\nc=a+b\\nfor i in range(1,350):\\n    if int(c)==i**2:\\n        print(\\\"Yes\\\")\\n        break\\nelse:\\n    print(\\\"No\\\")\", \"a,b = map(str,input().split())\\nc = int(a + b)\\nd = int(c ** 0.5)\\n\\n\\nif d ** 2 == c:\\n    print('Yes')\\nelse:\\n    print('No')\", \"import math\\na,b = map(str, input().split())\\nab = int(a+b)\\nsq = math.sqrt(ab)\\nif sq % 1 < 0.01:\\n  sq2 = sq**2\\n  if sq2 == ab:\\n    ans = 'Yes'\\n  else:\\n    ans = 'No'\\nelse:\\n  ans = 'No'\\nprint(ans)\", \"a, b = input().split()\\nab = int(a+b)\\nimport math\\nif math.sqrt(ab).is_integer():\\n  print('Yes')\\nelse:\\n  print('No')\", \"a,b=input().split()\\ns=0\\ns += int(b)\\ns += int(a)*(10**len(b))\\nfor i in range(320):\\n    if s==i*i:\\n        print('Yes')\\n        return\\nprint('No')\\n\", \"import math\\n\\na, b = map(int, input().split())\\nx = int(str(a) + str(b))\\nif math.sqrt(x) == math.ceil(math.sqrt(x)):\\n  print(\\\"Yes\\\")\\nelse :\\n  print(\\\"No\\\")\", \"a, b = list(map(str, input().split(\\\" \\\")))\\n\\nans = False\\nfor i in range(1000):\\n    if int(a + b) == i ** 2:\\n        ans = True\\n\\nprint((\\\"Yes\\\" if ans else \\\"No\\\"))\\n\", \"from math import sqrt\\na,b=input().split()\\nc=int(a+b)\\nd=int(sqrt(c))\\nprint(\\\"Yes\\\" if d**2==c else \\\"No\\\")\", \"a, b = input().split()\\nab = int(a+b)\\ni = 0\\nwhile i**2 <= ab:\\n    flag = (i**2 == ab)\\n    i = i+1\\nif flag:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\n\\na, b = map(str, input().split())\\n\\nX = int(a) * (10 ** len(b)) + int(b)\\n\\nif math.sqrt(X) % 1 == 0:\\n  print('Yes')\\nelse:\\n  print('No')\", \"from math import sqrt\\na, b = input().split()\\nc = a + b\\nif sqrt(int(c)) == int(sqrt(int(c))):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"from math import *\\nlst = input().split()\\n\\nif (sqrt(int(lst[0] + lst[1])) % 1) == 0:\\n   print('Yes')\\nelse:\\n   print('No')\", \"import math\\n\\na, b = input().split()\\nc = int(a + b)\\n\\nfor i in range(int(math.sqrt(c))+1):\\n  if c == i*i:\\n    print(\\\"Yes\\\")\\n    break\\nelse:\\n  print(\\\"No\\\")\\n  \\n\"]",
        "difficulty": "introductory",
        "input": "100 100\n",
        "output": "No\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc086/tasks/abc086_b"
    },
    {
        "id": 511,
        "task_id": 4543,
        "test_case_id": 3,
        "question": "AtCoDeer the deer has found two positive integers, a and b.\nDetermine whether the concatenation of a and b in this order is a square number.\n\n-----Constraints-----\n - 1 ≤ a,b ≤ 100\n - a and b are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\na b\n\n-----Output-----\nIf the concatenation of a and b in this order is a square number, print Yes; otherwise, print No.\n\n-----Sample Input-----\n1 21\n\n-----Sample Output-----\nYes\n\nAs 121 = 11 × 11, it is a square number.",
        "solutions": "[\"\\n#ABC086B\\na,b = input().split()\\na += b\\na = int(a)\\nprint(\\\"Yes\\\" if int((a**.5))**2 == a else \\\"No\\\")\", \"a, b = input().split()\\nab = int(a+b)\\n\\nfor j in range(ab):\\n    if j ** 2 <= ab:\\n        if j ** 2 == ab:\\n            print(\\\"Yes\\\")\\n            return\\n    else:\\n        print(\\\"No\\\")\\n        return\", \"#-*-coding:utf-8-*-\\nimport sys\\nimport math\\ninput=sys.stdin.readline\\n\\ndef main():\\n    a,b = input().split()\\n    number=0\\n\\n    number=int(a+b)\\n    for i in range(100101):\\n        if i * i ==number:\\n            print(\\\"Yes\\\")\\n            return\\n        else:\\n            continue\\n    print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"a, b = (i for i in input().split())\\nc = int(a + b)\\nans = c ** 0.5\\nif float.is_integer(ans): print('Yes')\\nelse: print('No')\", \"a,b=map(str,input().split())\\nx = a+b\\nx = int(x)\\ny = x**0.5\\nif y.is_integer():\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b=input().split()\\nx=int(a)*10**len(b)+int(b)\\n\\nfor i in range(0,1000):\\n    if i*i==x:\\n        print(\\\"Yes\\\")\\n        break\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b=map(int,input().split())\\n\\ndef ans086(a:int, b:int):\\n    ab=int(str(a)+str(b))\\n    import math\\n    if int(math.sqrt(ab))**2==ab:\\n        return(\\\"Yes\\\")\\n    else:\\n        return(\\\"No\\\")\\n\\nprint(ans086(a,b))\", \"a,b=map(str,input().split())\\nans = a+b\\nif (int(ans) ** 0.5).is_integer():\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b = input().split()\\n\\na_b = a + b\\na_b = int(a_b)\\n\\nfor i in range(a_b):\\n    if i * i == a_b:\\n        print(\\\"Yes\\\")\\n        return\\nprint(\\\"No\\\")\", \"num = int(''.join(input().split()))\\nroot = num ** .5\\n\\nprint(('Yes' if root.is_integer() else 'No'))\\n\", \"import math\\nx = int(input().replace(' ',''))\\ny = int(math.sqrt(x))\\nif y * y == x:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"import math\\na,b = map(int, input().split())\\nab = str(a) + str(b)\\n\\nif math.sqrt(int(ab))%1 == 0:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\na, b = map(str, input().split())\\nans = int(a+b)\\nfor i in range(ans):\\n    route = pow(i, 2)\\n    if ans == route:\\n        print(\\\"Yes\\\")\\n        return\\nprint(\\\"No\\\")\", \"a, b = map(int, input().split())\\nm = b + a * 10 ** len(str(b))\\nfind = False;\\nfor i in range(m):\\n  if m == i ** 2:\\n    find = True;\\nif find:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a,b=list(map(str,input().split()))\\nc=int(a+b)\\nfor i in range(1,1001):\\n    if i**2==c:\\n        print(\\\"Yes\\\")\\n        return\\nprint(\\\"No\\\")\\nreturn\\n\", \"a, b = input().split()\\nx = int(a+b)\\nno = 0\\nfor i in range(1000):\\n    if x == i**2:\\n        print(\\\"Yes\\\")\\n    else:\\n        no += 1\\n        if no == 1000:\\n            print(\\\"No\\\")\", \"import math\\n\\ndef main():\\n    a, b = input().split(\\\" \\\")\\n    x = math.sqrt(int(a + b))\\n    \\n    print((\\\"Yes\\\" if x.is_integer() else \\\"No\\\"))\\n\\n\\nmain()\\n\", \"import math\\n\\na, b = input().split()\\ns = a + b\\ni = int(s)\\nr = math.sqrt(i)\\nif r.is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a, b = map(int,input().split())\\n\\nfor i in range(2, 400):\\n    if (10**(len(str(b))) * a + b) == i**2:\\n        ans = 'Yes'\\n        break\\n    else:\\n        ans = 'No'\\nprint(ans)\", \"N = int(input().replace(' ', ''))\\nprint('Yes' if N == int(N**(1/2))**2 else 'No')\", \"import math \\n\\nlist=input().split()\\n\\nnum=int(list[0]+list[1])\\n\\nnum_squrt=math.sqrt(num)\\n\\nif num_squrt.is_integer()==True:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\na,b = input().split()\\nn = int(a+b)\\nif math.sqrt(n) % 1 == 0:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b=map(str, input().split())\\nq=0\\nfor i in range(1000):\\n  if int(a+b)==i**2:\\n    print('Yes')\\n    q=1\\n    break\\nif q==0:\\n    print('No')\", \"import math\\na, b = map(str, input().split())\\n\\ns = a + b\\ns = int(s)\\nr = math.sqrt(s)\\nfr = r - int(r)\\nif fr == 0:\\n  print('Yes')\\nelse:\\n  print('No')\", \"import math\\n\\na, b = list(map(str, input().split()))\\nx = int(a + b)\\n\\nif math.sqrt(x).is_integer():\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"a,b = input().split()\\nc = int(a + b)\\nif (c**0.5).is_integer() == True:\\n    print('Yes')\\nelse:\\n    print('No')\", \"def resolve():\\n    from math import sqrt\\n    \\n    n = int(\\\"\\\".join(input().split()))\\n    print(\\\"Yes\\\" if n == int(sqrt(n)) ** 2 else \\\"No\\\")\\n\\n\\ndef __starting_point():\\n    resolve()\\n__starting_point()\", \"a, b = input().split()\\ns = int(a+b)\\nresult = 'No'\\nfor i in range(1,round(s)):\\n  if s/i == i:\\n    result = 'Yes'\\n    \\nprint(result)\", \"N = int(input().replace(\\\" \\\",\\\"\\\"))\\n\\nflag = False\\nfor i in range(1,10000):\\n  if N == i**2:\\n    flag = True\\n    break\\n  if N < i**2:\\n    break\\nif flag:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"p = input().split()\\na = int(f\\\"{p[0]}{p[1]}\\\")\\nprint( \\\"Yes\\\" if a == int((a ** 0.5)) **2 else \\\"No\\\")\", \"a,b=list(map(str,input().split()))\\nc=int(a+b)\\nx=c**(1/2)\\nif x.is_integer():\\n    print('Yes')\\nelse :\\n    print('No')\\n\", \"a,b=input().split()\\n\\nd=int(a+b)\\n\\nfor i in range(1000):\\n    if d==i**2:\\n        print(\\\"Yes\\\")\\n        break\\n\\nlis=[j**2!=d for j in range(1000)]\\nif all(lis)==True:\\n    print(\\\"No\\\")\\n\", \"import math\\n\\na, b = input().split()\\nnum = int(a+b)\\n\\nif math.sqrt(num).is_integer():\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b =list(map(str,input().split()))\\nx = int(a+b)**0.5\\n\\nif x - int(x) == 0:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a,b = list(input().split())\\nnum = int(a+b)\\nans = round(num**0.5)\\nif ans**2 == num:\\n\\tprint(\\\"Yes\\\")\\nelse:\\n\\tprint(\\\"No\\\")\", \"import math\\na,b = list(map(int,input().split()))\\nnumber = int(str(a)+str(b))\\nroot = math.sqrt(number)\\nif int(root + 0.5) ** 2 == number:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\na = input(\\\"\\\").split(\\\" \\\")\\na = [int(aa) for aa in a]\\nn = int(str(a[0])+str(a[1]))\\nr = math.sqrt(n)\\nif r**2 == int(r)**2:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b=list(map(str,input().split()))\\nc=a+b\\nc=int(c)\\nfor i in range(1001):\\n  if i**2==c:\\n    print(\\\"Yes\\\")\\n    return\\nprint(\\\"No\\\")\\n\", \"a, b = map(int, input().split())\\n\\nc = int(str(a)+str(b))\\n\\nl = []\\n\\nfor i in range(10, 100100):\\n    if (i ** .5).is_integer():\\n        l.append(i)\\n\\nfor i in l:\\n    if c == i:\\n        print('Yes')\\n        return\\n\\nprint('No')\", \"import math\\na, b = input().split()\\n\\nif math.sqrt(int(a + b)) == int(math.sqrt(int(a + b))):\\n  print('Yes')\\nelse:\\n  print('No')\", \"import math\\na,b = input().split()\\nq = int(a+b)\\nif math.sqrt(q)//1 == math.sqrt(q):\\n  print(\\\"Yes\\\")\\nelse:\\n  print('No')\", \"from math import sqrt\\na, b = input().split()\\nn = int(a+b)\\nprint(('Yes' if sqrt(n) == int(sqrt(n)) else 'No'))\\n\", \"import math\\ns = input()\\ns = int(s.replace(\\\" \\\", ''))\\nif math.sqrt(s) == int(math.sqrt(s)):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"#!/usr/bin/env python3\\n\\ndef main():\\n    ab = int(input().replace(\\\" \\\", \\\"\\\"))\\n    print((\\\"Yes\\\" if int(ab**.5)**2 == ab else \\\"No\\\"))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"import math\\n\\n\\ndef answer(a: int, b: int) -> str:\\n    joined_value = int(str(a) + str(b))\\n    return 'Yes' if math.sqrt(joined_value) % 1 == 0 else 'No'\\n\\n\\ndef main():\\n    a, b = list(map(int, input().split()))\\n    print((answer(a, b)))\\n\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"# -*- coding:utf-8 -*-\\na, b = input().split()\\n\\njudge = int(a+b)\\n\\nif any(i**2 == judge for i in range(judge//2)):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import sys\\na,b=map(str,input().split())\\n\\nc=a+b\\nc=int(c)\\n\\nfor i in range(c//2):\\n    if c==i**2:\\n        print('Yes')\\n        return\\n\\nprint('No')\", \"#!/usr/bin/env python3\\nimport sys\\nsys.setrecursionlimit(10**6)\\n\\n\\na, b = list(map(str, input().split()))\\n\\n\\nnum = int(a+b)\\n\\nif num == int(num**0.5)**2:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"n=int(input().replace(\\\" \\\",\\\"\\\"))\\nprint(\\\"Yes\\\" if (n**0.5).is_integer() else \\\"No\\\")\", \"import math\\n\\na, b = input().split()\\nn = int(a + b)\\nprint('Yes') if math.sqrt(n) % 1 == 0 else print('No')\", \"a=int(input().replace(\\\" \\\",\\\"\\\"))\\nprint(\\\"Yes\\\" if int(a**0.5)==a**0.5 else 'No')\", \"a, b = map(str, input().split())\\nans = \\\"No\\\"\\nkey = int(a+b)\\nfor i in range(1000):\\n    if i**2 == key:\\n        ans =\\\"Yes\\\"\\n        break\\nprint(ans)\", \"import numpy as np\\n\\na, b = input().split(' ')\\n\\nc = int(a + b)\\n\\nsqrt_c = np.sqrt(c)//1\\n\\nif(sqrt_c**2 == c) :\\n  print(\\\"Yes\\\")\\nelse :\\n  print(\\\"No\\\")\", \"x = int(''.join(input().split()))\\na = 1\\nwhile True:\\n    aa = a * a\\n    if aa == x:\\n        print(\\\"Yes\\\")\\n        return\\n    elif aa > x:\\n        print(\\\"No\\\")\\n        return\\n    a += 1\", \"from math import ceil, sqrt\\na, b = input().split()\\n\\nsq = sqrt(int(a+b))\\nf = sq - int(sq)\\nprint(('Yes' if ceil(f) == 0 else 'No'))\\n\", \"a, b = [i for i in input().split()]\\nt = int(a + b)\\nans = 'No'\\nn = 1\\nwhile n*n <= t:\\n    if n*n == t:\\n        ans = 'Yes'\\n    n += 1\\nprint(ans)\\n\", \"import math\\nab=list(input().split())\\ns=int(''.join(ab))\\n\\nroot=int(math.sqrt(s))\\nif root*root==s: print('Yes')\\nelse: print('No')\", \"import math\\na, b = list(map(str, input().split()))\\n\\ntarget = math.sqrt(int(a+b))\\n\\nif target.is_integer():\\n    print('Yes')\\nelse:\\n    print('No')\\n\\n\", \"import math\\n\\na, b = input().split()\\nn = int(a + b)\\n\\nif n == round(math.sqrt(n))**2:\\n    print('Yes')\\nelse:\\n    print('No')\", \"import math\\na,b = input().split()\\nc = int(a + b)\\n\\nd = math.sqrt(c)\\nprint(\\\"Yes\\\" if d == int(d) else \\\"No\\\")\", \"a,b = map(str,input().split())\\nc = int(a + b)\\n\\nfor i in range(int(c ** 0.5), int(c ** 0.5) + 1 ):\\n    if i ** 2 == c:\\n        print('Yes')\\n        return\\n\\nprint('No')\", \"#!/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\nimport math\\n\\nIS = lambda: int(input())\\nIA = lambda: [int(x) for x in input().split()]\\n\\na, b = IA()\\n\\nab = int(str(a) + str(b))\\nrt = math.sqrt(ab)\\nprint((\\\"Yes\\\" if int(rt) ** 2 == ab else \\\"No\\\"))\\n\", \"#!/usr/bin/env python3\\nimport sys\\n\\nYES = \\\"Yes\\\"  # type: str\\nNO = \\\"No\\\"  # type: str\\n\\n\\ndef solve(a: int, b: int):\\n    c = int(str(a) + str(b))\\n    for i in range(400):\\n        if c == i*i:\\n            print(YES)\\n            break\\n    else:\\n        print(NO)\\n    return\\n\\n\\n# Generated by 1.1.7.1 https://github.com/kyuridenamida/atcoder-tools  (tips: You use the default template now. You can remove this line by using your custom template)\\ndef main():\\n    def iterate_tokens():\\n        for line in sys.stdin:\\n            for word in line.split():\\n                yield word\\n    tokens = iterate_tokens()\\n    a = int(next(tokens))  # type: int\\n    b = int(next(tokens))  # type: int\\n    solve(a, b)\\n\\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"a=input().split()\\nb=int(\\\"\\\".join(a))\\n\\nnum=int(100100**1/2)\\n\\nans=\\\"No\\\"\\nfor i in range(num):\\n    if i**2==b:\\n        ans=\\\"Yes\\\"\\n        break\\n    \\nprint(ans)\", \"a,b = input().split()\\nab = int(a+b)\\nprint(\\\"Yes\\\" if (ab**0.5).is_integer() else \\\"No\\\")\", \"import math\\na, b = list(map(int, input().split()))\\nc = 0\\n\\nif b < 10:\\n    c = a*10 + b\\nelif 10 <= b <= 99:\\n    c = a*100 + b\\nelif b == 100:\\n    c = a*1000 + b\\n\\nd = math.sqrt(c)\\n\\nif d.is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b = map(str,input().split())\\nc = int(a + b)\\nif c ** 0.5 ==int(c ** 0.5):\\n  print('Yes')\\nelse:\\n  print('No')\", \"print(('Yes' if int(''.join(input().split())) ** 0.5 % 1 == 0 else 'No'))\\n\\n\", \"a, b = input().split()\\nt = int(a + b)\\nans = 'No'\\nn = 1\\nwhile n*n <= t:\\n    if n*n == t:\\n        ans = 'Yes'\\n    n += 1\\nprint(ans)\", \"import math\\na,b = list(map(str,input().split()))\\nc = int(a+b)\\nif int(math.sqrt(c))**2 == c:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"a, b = input().split()\\nt = int(a + b)\\nfor i in range(1,10 ** 3):\\n    if t == (i * i):\\n        print('Yes')\\n        return\\nprint('No')\\n\", \"import sys\\nc = [i for i in input().split()]\\nab = int(c[0]+c[1])\\nfor i in range(int(100100**0.5)+1):\\n    if i**2 == ab:\\n        print(\\\"Yes\\\")\\n        return\\n\\nprint(\\\"No\\\")\", \"import re\\nimport sys\\nimport math\\nimport itertools\\nimport bisect\\nfrom copy import copy\\nfrom collections import deque,Counter\\nfrom decimal import Decimal\\nimport functools\\ndef v(): return input()\\ndef k(): return int(input())\\ndef S(): return input().split()\\ndef I(): return map(int,input().split())\\ndef X(): return list(input())\\ndef L(): return list(input().split())\\ndef l(): return list(map(int,input().split()))\\ndef lcm(a,b): return a*b//math.gcd(a,b)\\nsys.setrecursionlimit(10 ** 6)\\nmod = 10**9+7\\ncnt = 0\\nans = 0\\ninf = float(\\\"inf\\\")\\nal = \\\"abcdefghijklmnopqrstuvwxyz\\\"\\nAL = al.upper()\\n\\na = L()\\nb = \\\"\\\".join(a)\\nb = int(b)\\nfor i in range(1000):\\n    if b == i**2:\\n        print(\\\"Yes\\\")\\n        return\\n \\nprint(\\\"No\\\")\", \"# import math\\n# import statistics\\n#a=input()\\n#b,c=int(input()),int(input())\\n# c=[]\\n# for i in a:\\n#    c.append(i)\\ne1,e2 = list(map(str,input().split()))\\n#K = input()\\n# f = list(map(int,input().split()))\\n#g = [input() for _ in range(a)]\\ncount=0\\na=e1+e2\\nfor i in range(1,int(a)):\\n\\tif int(a)/int(i)==int(i):\\n\\t\\tcount+=1\\nif count>0:\\n\\tprint('Yes')\\nelse:\\n\\tprint('No')\\n\", \"n = int(input().replace(' ', ''))\\nx = int(n ** 0.5)\\nprint('Yes' if x * x == n else 'No')\", \"ab = int(input().replace(\\\" \\\", \\\"\\\"))\\nans = False\\nfor i in range(320):\\n    if i * i == ab:\\n        ans = True\\n        break\\nprint(\\\"Yes\\\") if ans else print(\\\"No\\\")\", \"ab = int(\\\"\\\".join(input().split()))**0.5\\n\\nif ab.is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\na, b = map(str, input().split( ))\\nA = int(a+b)\\n\\nif math.sqrt(A).is_integer() == True:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b=map(str,input().split())\\nab=int(a+b)\\n\\nans=\\\"No\\\"\\nfor i in range(1010):\\n    x=i**2\\n    if x==ab:\\n        ans=\\\"Yes\\\"\\n        break\\n\\nprint(ans)\", \"#!/usr/local/bin/python3\\n# https://atcoder.jp/contests/abc086/tasks/abc086_b\\nimport math\\n\\na, b = input().split()\\n\\nif math.sqrt(int(a+b)).is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b = map(int,input().split())\\nc = int(str(a) + str(b))\\nfor i in range(c):\\n    if i ** 2 == c:\\n        print('Yes')\\n        break\\n    elif i ** 2 > c:\\n        print('No')\\n        break\", \"n = int(\\\"\\\".join(input().split()))\\nx = n**0.5\\nif x == int(x):\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b = input().split()\\na = int(a + b)\\n\\nfor i in range(1000):\\n    if i ** 2 == a:\\n        print(\\\"Yes\\\")\\n        break\\nelse:\\n    print(\\\"No\\\")\\n\", \"import math\\na,b=input().split()\\nc=int(a+b)\\nd=math.sqrt(c)\\ne=math.floor(d)\\nif e**2==c:\\n    print('Yes')\\nelse:\\n    print('No')\", \"import math\\na, b = list(map(int, input().split()))\\nc = 0\\n\\nif b < 10:\\n    c = a*10 + b\\nelif 10 <= b <= 99:\\n    c = a*100 + b\\nelif b == 100:\\n    c = a*1000 + b\\n\\nd = math.sqrt(c)\\n\\nif d.is_integer():\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"#\\n# abc086 b\\n#\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"1 21\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"Yes\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"100 100\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"No\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"12 10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"No\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    A, B = input().split()\\n\\n    C = int(A+B)\\n    for i in range(1, 100100):\\n        if i**2 == C:\\n            print(\\\"Yes\\\")\\n            break\\n    else:\\n        print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"a,b = map(str,input().split())\\nfrom math import sqrt\\nprint(\\\"Yes\\\" if sqrt(int(a+b)) == int(sqrt(int(a+b))) else \\\"No\\\")\", \"a,b=map(str,input().split())\\nc=a+b\\nfor i in range(1,350):\\n    if int(c)==i**2:\\n        print(\\\"Yes\\\")\\n        break\\nelse:\\n    print(\\\"No\\\")\", \"a,b = map(str,input().split())\\nc = int(a + b)\\nd = int(c ** 0.5)\\n\\n\\nif d ** 2 == c:\\n    print('Yes')\\nelse:\\n    print('No')\", \"import math\\na,b = map(str, input().split())\\nab = int(a+b)\\nsq = math.sqrt(ab)\\nif sq % 1 < 0.01:\\n  sq2 = sq**2\\n  if sq2 == ab:\\n    ans = 'Yes'\\n  else:\\n    ans = 'No'\\nelse:\\n  ans = 'No'\\nprint(ans)\", \"a, b = input().split()\\nab = int(a+b)\\nimport math\\nif math.sqrt(ab).is_integer():\\n  print('Yes')\\nelse:\\n  print('No')\", \"a,b=input().split()\\ns=0\\ns += int(b)\\ns += int(a)*(10**len(b))\\nfor i in range(320):\\n    if s==i*i:\\n        print('Yes')\\n        return\\nprint('No')\\n\", \"import math\\n\\na, b = map(int, input().split())\\nx = int(str(a) + str(b))\\nif math.sqrt(x) == math.ceil(math.sqrt(x)):\\n  print(\\\"Yes\\\")\\nelse :\\n  print(\\\"No\\\")\", \"a, b = list(map(str, input().split(\\\" \\\")))\\n\\nans = False\\nfor i in range(1000):\\n    if int(a + b) == i ** 2:\\n        ans = True\\n\\nprint((\\\"Yes\\\" if ans else \\\"No\\\"))\\n\", \"from math import sqrt\\na,b=input().split()\\nc=int(a+b)\\nd=int(sqrt(c))\\nprint(\\\"Yes\\\" if d**2==c else \\\"No\\\")\", \"a, b = input().split()\\nab = int(a+b)\\ni = 0\\nwhile i**2 <= ab:\\n    flag = (i**2 == ab)\\n    i = i+1\\nif flag:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import math\\n\\na, b = map(str, input().split())\\n\\nX = int(a) * (10 ** len(b)) + int(b)\\n\\nif math.sqrt(X) % 1 == 0:\\n  print('Yes')\\nelse:\\n  print('No')\", \"from math import sqrt\\na, b = input().split()\\nc = a + b\\nif sqrt(int(c)) == int(sqrt(int(c))):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"from math import *\\nlst = input().split()\\n\\nif (sqrt(int(lst[0] + lst[1])) % 1) == 0:\\n   print('Yes')\\nelse:\\n   print('No')\", \"import math\\n\\na, b = input().split()\\nc = int(a + b)\\n\\nfor i in range(int(math.sqrt(c))+1):\\n  if c == i*i:\\n    print(\\\"Yes\\\")\\n    break\\nelse:\\n  print(\\\"No\\\")\\n  \\n\"]",
        "difficulty": "introductory",
        "input": "12 10\n",
        "output": "No\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc086/tasks/abc086_b"
    },
    {
        "id": 512,
        "task_id": 4562,
        "test_case_id": 1,
        "question": "Find the largest square number not exceeding N. Here, a square number is an integer that can be represented as the square of an integer.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - N is an integer.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the largest square number not exceeding N.\n\n-----Sample Input-----\n10\n\n-----Sample Output-----\n9\n\n10 is not square, but 9 = 3 × 3 is. Thus, we print 9.",
        "solutions": "[\"N = int (input ())\\nx = 1\\nwhile x**2 <= N:\\n  x += 1\\nx -= 1\\nprint (x**2)\", \"#\\n# abc077 b\\n#\\nimport sys\\nfrom io import StringIO\\nimport unittest\\nimport math\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"9\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"81\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"81\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"271828182\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"271821169\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n    print((math.floor(math.sqrt(N))**2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n = int(input())\\n\\ni=1\\nwhile i*i <= n:\\n    ans = i*i\\n    i+=1\\nprint(ans)\", \"n = int(input())\\nprint(int(n**(1/2))**2)\", \"N = int(input())\\ni = 1\\nif N == 1:\\n    print(i)\\nelse:\\n    while i <= N:\\n        if((i * i) > N):\\n            print((i-1) * (i-1))\\n            break\\n        i += 1\", \"from math import sqrt\\n\\nn = int(input())\\n\\nfor i in range(int(sqrt(n) + 1)):\\n    if i ** 2 <= n:\\n        ans = i ** 2\\nprint(ans)\", \"from math import sqrt\\nn = int(input())\\nprint(int(sqrt(n))**2)\", \"#!/usr/bin/env python3\\nN = int(input())\\n\\nans = 0\\nfor i in range(1, 10**5):\\n    n = i ** 2\\n    if n <= N:\\n        ans = n\\n    else:\\n        break\\nprint(ans)\\n\", \"print(int(int(input())**.5)**2)\", \"a=int(input())\\ni=0\\nwhile i**2<=a:\\n  i=i+1\\nprint((i-1)**2)\", \"n = int(input())\\n\\nfor i in range(n, 0, -1):\\n  j = int(i ** 0.5)\\n  if int(j) ** 2 == i:\\n    break\\nprint(i)\\n\", \"print((int(int(input())**0.5)**2))\\n\", \"import math\\nx=int(input())\\ny= math.sqrt(x)\\nz= y//1\\na=z**2\\nprint(int(a))\", \"n = int(input())\\nprint((int(n ** 0.5) ** 2))\\n\", \"n = int(input())\\nwhile (n ** 0.5) % 1 != 0:\\n    n -= 1\\nprint(n)\", \"print(int(int(input()) ** 0.5) ** 2)\", \"from math import sqrt\\n\\nn = int(input())\\n\\nans = int(sqrt(n))\\n\\nif (ans + 1) * (ans + 1) <= n:\\n    print((ans + 1) * (ans + 1))\\nelif ans * ans <= n:\\n    print(ans * ans)\\nelse:\\n    print((ans - 1) * (ans - 1))\", \"print(int(int(input())**0.5//1)**2)\", \"N=int(input())\\nans=1\\nfor i in range(N+1):\\n    if i*i<=N:\\n        ans=i\\n    else:\\n        break\\nprint((ans**2))\\n\", \"n = int(input())\\nx = 1\\nwhile x * x <= n:\\n    x += 1\\n \\nx -= 1\\nprint(x * x)\", \"n = int(input())\\nprint(int(n ** 0.5) ** 2)\", \"n = int(input())\\nfor i in range(100000):\\n  if n >= (10**5-i)**2:\\n    print((10**5-i)**2)\\n    return\", \"n=int(input())\\nprint(int(n**(1/2))**2)\", \"import math\\nprint(int(math.sqrt(int(input())))**2)\", \"from math import sqrt\\nn=int(input())\\nfor i in range(1,int(sqrt(n))+1):\\n  if i**2>n:\\n    print((i-1)**2)\\n    break\\nelse:\\n  print(i**2)\", \"import sys\\nN=int(input())\\nif N==1:\\n    print(\\\"1\\\")\\nelif N==2:\\n    print(\\\"1\\\")\\nelse:\\n    for i in range(N):\\n        if i**2>N:\\n            print((i-1)**2)\\n            return\\n        else:\\n            pass\", \"import math\\nN=int(input())\\nc=int(math.sqrt(N))\\nprint(c**2)\", \"n=int(input())\\ni=1\\ntmp=1\\nwhile True:\\n  if i**2 <= n:\\n    tmp = i**2\\n  else:\\n    break\\n  i += 1\\nprint(tmp)\", \"def multiple(n):\\n    a = []\\n    for i in range(1,int(n**.5)+1):\\n        a.append(i*i)\\n    return a\\nn = int(input())\\na = multiple(n)\\nans = 10**18\\nfor i in a:\\n    if n-i < 0:\\n        continue\\n    ans = min(ans,abs(n-i))\\nprint(n-ans)\", \"# coding = SJIS\\n\\nn = int(input())\\n\\nfor i in range(n):\\n    if int((n - i) ** 0.5) == (n - i) ** 0.5:\\n        print((n - i))\\n        return\\n\", \"import math\\na=int(input())\\nb=math.sqrt(a)\\nn=math.ceil(b)\\nm=math.floor(b)\\nprint(m**2)\", \"N=int(input())\\nfor i in range(int(N**0.5)+1):\\n    if N>=i**2:\\n        ans=i**2\\n    else:\\n        break\\nprint(ans)\", \"import math\\n\\n\\ndef answer(n: int) -> int:\\n    return int(math.sqrt(n)) ** 2\\n\\n\\ndef main():\\n    n = int(input())\\n    print(answer(n))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"n=int(input())\\nfor i in range(1,10**5+2):\\n  if i**2>n:print(((i-1)**2));return\\n\", \"n = int(input())\\nfor i in range(100000):\\n  if i**2 > n:\\n    print((i-1)**2)\\n    break\", \"n = int(input())\\nfor i in range(1,n+2):\\n    if i*i > n:\\n        print((i-1)*(i-1))\\n        return\", \"print((int(int(input())**.5)**2))\\n\", \"n = int(input())\\nans=1\\nfor i in range(n+1):\\n    if i**2<=n:\\n        ans=i**2\\n    else:\\n        break\\n\\nprint(ans)\", \"import math\\nN = int(input())\\n\\nans = 1\\nfor i in range(1,math.floor(math.sqrt(N))+1):\\n  if i * i <= N:\\n    ans = i * i\\n    \\nprint(ans)\", \"def main():\\n    N = int(input())\\n    a = 1\\n    i = 0\\n    prev = 0\\n    while a <= N:\\n        i += 1\\n        prev = a\\n        if a > N:\\n            break\\n        else:\\n            a = i * i\\n    print(prev) \\nmain()\\n\", \"print(int(int(input())**.5)**2)\", \"import math\\nN = int(input())\\nfor i in range(N):\\n  x = N - i\\n  if int(math.sqrt(x)) == math.sqrt(x):\\n    print(x)\\n    break\\n\", \"N = int(input())\\n\\nfrom math import floor, sqrt\\nans = floor(sqrt(N))**2\\nprint(ans)\\n\", \"n = int(input())\\nprint(int(n**0.5)**2)\", \"N = int(input())\\nfor i in range(1, N+1):\\n    if i*i > N:\\n        print(((i-1)*(i-1)))\\n        return\\nprint((1))\\n\", \"N = int(input())\\n \\nprint(int(N**0.5)**2)\", \"N = int(input())\\nprint(int(N**(1/2))**2)\", \"N = int(input())\\nprint(int((N**(1/2)//1)**2))\", \"n=int(input())\\n\\nans=1\\nloop = 3\\nfor i in range (1,100000):\\n        if i**2 <= n:\\n                ans=i**2\\n        \\n        \\n\\nprint(ans)\", \"n=int(input())\\ni=1\\ntmp=1\\nwhile True:\\n  if i**2<=n:\\n    tmp=i**2\\n  else:\\n    break\\n  i+=1\\nprint(tmp)\", \"n = int(input())\\nprint((int(n ** 0.5)) ** 2)\", \"N = int(input())\\n\\nfor i in range(1, 10**9):\\n  if i**2 == N:\\n    print((i**2))\\n    break\\n  elif i**2 > N:\\n    print(((i-1)**2))\\n    break\\n\", \"N = int(input())\\nprint((int(N**(1/2))**2))\\n\", \"n = int(input())\\nprint((int(n**(1/2)))**2)\", \"n = int(input())\\n\\n\\nans = 1\\nfor i in range(1, n):\\n  if i**2 > n:\\n    ans = (i-1)**2\\n    break\\n\\n\\nprint(ans)\", \"import math\\nans=math.floor(int(input())**0.5)\\nprint (ans*ans)\", \"N = int(input())\\nans = 1\\nfor i in range(1, N):\\n    if i*i > N:\\n        break\\n    ans = max(ans, i*i)\\nprint(ans)\", \"print(int(int(input())**.5)**2)\", \"n = int(input())\\nans = 0\\nfor i in range(100001):\\n    if i **2 <= n:\\n        ans = i**2\\n    \\nprint(ans)\\n\", \"import math\\n\\nN=int(input())\\nn=math.floor(math.sqrt(N))**2\\n\\nprint(n)\\n\\n\", \"n = int(input())\\nprint(int(n ** 0.5) ** 2)\", \"from math import sqrt\\n\\nn = int(input())\\nprint(int(sqrt(n)) ** 2)\", \"import math\\nn = int(input())\\nprint(int(math.sqrt(n))**2)\", \"import math\\nn = int(input())\\nprint(int(math.sqrt(n))**2)\", \"n = int(input())\\nc = 1\\nfor i in range(10**5):\\n    if i**2 <= n:c = i**2\\n    else:break\\nprint(c)\", \"N = int(input())\\n\\nfor i in range(int(N**0.5)+3):\\n  if i**2 > N:\\n    print((i-1)**2)\\n    break\", \"n = int(input())\\nprint(int(n**.5) ** 2)\", \"import math\\nN=int(input())\\nans=N\\nfor i in range(N):\\n  if math.sqrt(ans).is_integer():\\n    print(ans)\\n    break\\n  ans-=1\", \"N=int(input())\\nimport math\\nprint((int(math.sqrt(N)))**2)\", \"n = int(input())\\n\\nfor i in range(1, 10**5):\\n    p = i**2\\n    if p > n:\\n        print((i-1)**2)\\n        break\", \"import math\\n\\nn = int(input())\\nprint(math.floor(math.sqrt(n)) ** 2)\", \"N=int(input())\\nprint(int(N**(1/2))**2)\", \"n = int(input())\\n\\nans = 0\\nmax = int(n**0.5)+1\\nfor i in range(1, max, 1):\\n    tmp = i**2\\n    if tmp <= n:\\n        ans = tmp\\nprint(ans)\", \"n=int(input())\\n\\nfor i in range(10**5):\\n    if i**2 > n:\\n        print((i-1)**2)\\n        break\", \"n = int(input())\\np = int(n**0.5)\\na = 1\\nans = 1\\nwhile a<=p:\\n    if a**2 <=n:\\n        ans = max(ans,a**2)\\n    a +=1\\nprint(ans)\", \"N = int(input())\\nprint(int(N**(0.5))**2)\", \"N=int(input())\\nif int((N+1)**.5)**2==N:print(N)\\nelse:print(int(N**.5)**2)\", \"N = int(input())\\nprint((int(N**.5)**2))\\n\", \"N = int(input())\\nprint(int(N**0.5)**2)\", \"N = int(input())\\nfrom math import sqrt, floor\\nfor i in range(1,floor(sqrt(N))+2):\\n    if i**2 > N:\\n        print((i-1)**2)\", \"import math\\nn = int(input())\\n\\nfor i in range(10**5):\\n    if n < i ** 2:\\n        print((i-1) ** 2)\\n        break\", \"n=int(input())\\nprint(int(n**0.5)**2)\", \"n=int(input())\\nres=1\\nfor i in range(100000):\\n    if i**2>n:\\n        break\\n    res=i*i\\nprint(res)\", \"n = int(input())\\nfor i in range(1, n):\\n    if i**2 > n:\\n        print((i-1)**2)\\n        break\\nelse:\\n    print(1)\", \"import math\\nn = int(input())\\nfor i in range(10**9):\\n  if math.sqrt(n) == int(math.sqrt(n)):\\n    print(n)\\n    break\\n  n -= 1\\n\", \"N=int(input())\\nif N==1 :\\n  print(1)\\n  return\\nfor i in range(1,N+1) :\\n  if i*i>N :\\n    print((i-1)*(i-1))\\n    return\", \"n = int(input())\\n\\nans = 0\\nfor i in range(1, 10 ** 5):\\n    if i ** 2 <= n:\\n        ans = i ** 2\\n\\nprint(ans)\\n\", \"import math\\n\\nn = int(input())\\nprint(math.floor(math.sqrt(n)) ** 2)\", \"x = int(input())\\nfor i in range(10**5):\\n  if i**2>x:\\n    a=((i-1)**2)\\n    break\\nprint(a)\", \"import math\\nn = int(input())\\nprint(int(math.sqrt(n)) * int(math.sqrt(n)))\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nans = 1\\nfor i in range(1,n+1):\\n    if (i*i > n):\\n        ans =  (i-1)**2\\n        break\\nprint(ans)\\n\\n\\n\\n\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nimport heapq\\nimport re\\nimport numpy as np\\nfrom functools import reduce\\n\\nrr = lambda: sys.stdin.readline().rstrip()\\nrs = lambda: sys.stdin.readline().split()\\nri = lambda: int(sys.stdin.readline())\\nrm = lambda: list(map(int, sys.stdin.readline().split()))\\nrl = lambda: list(map(int, sys.stdin.readline().split()))\\ninf = float('inf')\\nmod = 10**9 + 7\\n\\nn = ri()\\na = int(n**0.5)\\nprint((a**2))\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\", \"N = int(input())\\nfor i in range(N+1):\\n    if i ** 2 == N:\\n        print((i**2))\\n        return\\n    elif i ** 2 > N:\\n        print((max((i-1)**2,1)))\\n        return\\n\", \"n = int(input())\\nans = 0\\nk = 1\\nwhile k ** 2 <= n:\\n  ans = k ** 2\\n  k += 1\\nprint(ans)\", \"#ABC077B\\nn = int(input())\\nwhile n>0:\\n    tmp = n**(1/2)\\n    if(tmp==int(tmp)):\\n        print(n)\\n        break\\n    n-=1\", \"#!/usr/bin/env python3\\nimport sys\\nsys.setrecursionlimit(10**6)\\n\\nn = int(input())\\n\\nans = 1\\nfor i in range(0, n):\\n    if (ans+1)**2 > n:\\n        break\\n    ans += 1\\nprint((ans**2))\\n\", \"import math\\nn = int(input())\\ntmp = int(math.sqrt(n))\\nprint(tmp**2)\", \"N = int(input())\\n\\ni = 1\\nwhile i*i <= N:\\n  i += 1\\n\\nprint((i-1)**2)\", \"N=int(input())\\nC=0\\nif N==1:\\n  print(1)\\n  return\\nfor i in range(1,N):\\n  if i**2<N:\\n    C=i**2\\n  elif i**2==N:\\n    C=i**2\\n    break\\n  elif i**2>N:\\n    break\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "10\n",
        "output": "9\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc077/tasks/abc077_b"
    },
    {
        "id": 513,
        "task_id": 4562,
        "test_case_id": 2,
        "question": "Find the largest square number not exceeding N. Here, a square number is an integer that can be represented as the square of an integer.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - N is an integer.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the largest square number not exceeding N.\n\n-----Sample Input-----\n10\n\n-----Sample Output-----\n9\n\n10 is not square, but 9 = 3 × 3 is. Thus, we print 9.",
        "solutions": "[\"N = int (input ())\\nx = 1\\nwhile x**2 <= N:\\n  x += 1\\nx -= 1\\nprint (x**2)\", \"#\\n# abc077 b\\n#\\nimport sys\\nfrom io import StringIO\\nimport unittest\\nimport math\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"9\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"81\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"81\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"271828182\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"271821169\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n    print((math.floor(math.sqrt(N))**2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n = int(input())\\n\\ni=1\\nwhile i*i <= n:\\n    ans = i*i\\n    i+=1\\nprint(ans)\", \"n = int(input())\\nprint(int(n**(1/2))**2)\", \"N = int(input())\\ni = 1\\nif N == 1:\\n    print(i)\\nelse:\\n    while i <= N:\\n        if((i * i) > N):\\n            print((i-1) * (i-1))\\n            break\\n        i += 1\", \"from math import sqrt\\n\\nn = int(input())\\n\\nfor i in range(int(sqrt(n) + 1)):\\n    if i ** 2 <= n:\\n        ans = i ** 2\\nprint(ans)\", \"from math import sqrt\\nn = int(input())\\nprint(int(sqrt(n))**2)\", \"#!/usr/bin/env python3\\nN = int(input())\\n\\nans = 0\\nfor i in range(1, 10**5):\\n    n = i ** 2\\n    if n <= N:\\n        ans = n\\n    else:\\n        break\\nprint(ans)\\n\", \"print(int(int(input())**.5)**2)\", \"a=int(input())\\ni=0\\nwhile i**2<=a:\\n  i=i+1\\nprint((i-1)**2)\", \"n = int(input())\\n\\nfor i in range(n, 0, -1):\\n  j = int(i ** 0.5)\\n  if int(j) ** 2 == i:\\n    break\\nprint(i)\\n\", \"print((int(int(input())**0.5)**2))\\n\", \"import math\\nx=int(input())\\ny= math.sqrt(x)\\nz= y//1\\na=z**2\\nprint(int(a))\", \"n = int(input())\\nprint((int(n ** 0.5) ** 2))\\n\", \"n = int(input())\\nwhile (n ** 0.5) % 1 != 0:\\n    n -= 1\\nprint(n)\", \"print(int(int(input()) ** 0.5) ** 2)\", \"from math import sqrt\\n\\nn = int(input())\\n\\nans = int(sqrt(n))\\n\\nif (ans + 1) * (ans + 1) <= n:\\n    print((ans + 1) * (ans + 1))\\nelif ans * ans <= n:\\n    print(ans * ans)\\nelse:\\n    print((ans - 1) * (ans - 1))\", \"print(int(int(input())**0.5//1)**2)\", \"N=int(input())\\nans=1\\nfor i in range(N+1):\\n    if i*i<=N:\\n        ans=i\\n    else:\\n        break\\nprint((ans**2))\\n\", \"n = int(input())\\nx = 1\\nwhile x * x <= n:\\n    x += 1\\n \\nx -= 1\\nprint(x * x)\", \"n = int(input())\\nprint(int(n ** 0.5) ** 2)\", \"n = int(input())\\nfor i in range(100000):\\n  if n >= (10**5-i)**2:\\n    print((10**5-i)**2)\\n    return\", \"n=int(input())\\nprint(int(n**(1/2))**2)\", \"import math\\nprint(int(math.sqrt(int(input())))**2)\", \"from math import sqrt\\nn=int(input())\\nfor i in range(1,int(sqrt(n))+1):\\n  if i**2>n:\\n    print((i-1)**2)\\n    break\\nelse:\\n  print(i**2)\", \"import sys\\nN=int(input())\\nif N==1:\\n    print(\\\"1\\\")\\nelif N==2:\\n    print(\\\"1\\\")\\nelse:\\n    for i in range(N):\\n        if i**2>N:\\n            print((i-1)**2)\\n            return\\n        else:\\n            pass\", \"import math\\nN=int(input())\\nc=int(math.sqrt(N))\\nprint(c**2)\", \"n=int(input())\\ni=1\\ntmp=1\\nwhile True:\\n  if i**2 <= n:\\n    tmp = i**2\\n  else:\\n    break\\n  i += 1\\nprint(tmp)\", \"def multiple(n):\\n    a = []\\n    for i in range(1,int(n**.5)+1):\\n        a.append(i*i)\\n    return a\\nn = int(input())\\na = multiple(n)\\nans = 10**18\\nfor i in a:\\n    if n-i < 0:\\n        continue\\n    ans = min(ans,abs(n-i))\\nprint(n-ans)\", \"# coding = SJIS\\n\\nn = int(input())\\n\\nfor i in range(n):\\n    if int((n - i) ** 0.5) == (n - i) ** 0.5:\\n        print((n - i))\\n        return\\n\", \"import math\\na=int(input())\\nb=math.sqrt(a)\\nn=math.ceil(b)\\nm=math.floor(b)\\nprint(m**2)\", \"N=int(input())\\nfor i in range(int(N**0.5)+1):\\n    if N>=i**2:\\n        ans=i**2\\n    else:\\n        break\\nprint(ans)\", \"import math\\n\\n\\ndef answer(n: int) -> int:\\n    return int(math.sqrt(n)) ** 2\\n\\n\\ndef main():\\n    n = int(input())\\n    print(answer(n))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"n=int(input())\\nfor i in range(1,10**5+2):\\n  if i**2>n:print(((i-1)**2));return\\n\", \"n = int(input())\\nfor i in range(100000):\\n  if i**2 > n:\\n    print((i-1)**2)\\n    break\", \"n = int(input())\\nfor i in range(1,n+2):\\n    if i*i > n:\\n        print((i-1)*(i-1))\\n        return\", \"print((int(int(input())**.5)**2))\\n\", \"n = int(input())\\nans=1\\nfor i in range(n+1):\\n    if i**2<=n:\\n        ans=i**2\\n    else:\\n        break\\n\\nprint(ans)\", \"import math\\nN = int(input())\\n\\nans = 1\\nfor i in range(1,math.floor(math.sqrt(N))+1):\\n  if i * i <= N:\\n    ans = i * i\\n    \\nprint(ans)\", \"def main():\\n    N = int(input())\\n    a = 1\\n    i = 0\\n    prev = 0\\n    while a <= N:\\n        i += 1\\n        prev = a\\n        if a > N:\\n            break\\n        else:\\n            a = i * i\\n    print(prev) \\nmain()\\n\", \"print(int(int(input())**.5)**2)\", \"import math\\nN = int(input())\\nfor i in range(N):\\n  x = N - i\\n  if int(math.sqrt(x)) == math.sqrt(x):\\n    print(x)\\n    break\\n\", \"N = int(input())\\n\\nfrom math import floor, sqrt\\nans = floor(sqrt(N))**2\\nprint(ans)\\n\", \"n = int(input())\\nprint(int(n**0.5)**2)\", \"N = int(input())\\nfor i in range(1, N+1):\\n    if i*i > N:\\n        print(((i-1)*(i-1)))\\n        return\\nprint((1))\\n\", \"N = int(input())\\n \\nprint(int(N**0.5)**2)\", \"N = int(input())\\nprint(int(N**(1/2))**2)\", \"N = int(input())\\nprint(int((N**(1/2)//1)**2))\", \"n=int(input())\\n\\nans=1\\nloop = 3\\nfor i in range (1,100000):\\n        if i**2 <= n:\\n                ans=i**2\\n        \\n        \\n\\nprint(ans)\", \"n=int(input())\\ni=1\\ntmp=1\\nwhile True:\\n  if i**2<=n:\\n    tmp=i**2\\n  else:\\n    break\\n  i+=1\\nprint(tmp)\", \"n = int(input())\\nprint((int(n ** 0.5)) ** 2)\", \"N = int(input())\\n\\nfor i in range(1, 10**9):\\n  if i**2 == N:\\n    print((i**2))\\n    break\\n  elif i**2 > N:\\n    print(((i-1)**2))\\n    break\\n\", \"N = int(input())\\nprint((int(N**(1/2))**2))\\n\", \"n = int(input())\\nprint((int(n**(1/2)))**2)\", \"n = int(input())\\n\\n\\nans = 1\\nfor i in range(1, n):\\n  if i**2 > n:\\n    ans = (i-1)**2\\n    break\\n\\n\\nprint(ans)\", \"import math\\nans=math.floor(int(input())**0.5)\\nprint (ans*ans)\", \"N = int(input())\\nans = 1\\nfor i in range(1, N):\\n    if i*i > N:\\n        break\\n    ans = max(ans, i*i)\\nprint(ans)\", \"print(int(int(input())**.5)**2)\", \"n = int(input())\\nans = 0\\nfor i in range(100001):\\n    if i **2 <= n:\\n        ans = i**2\\n    \\nprint(ans)\\n\", \"import math\\n\\nN=int(input())\\nn=math.floor(math.sqrt(N))**2\\n\\nprint(n)\\n\\n\", \"n = int(input())\\nprint(int(n ** 0.5) ** 2)\", \"from math import sqrt\\n\\nn = int(input())\\nprint(int(sqrt(n)) ** 2)\", \"import math\\nn = int(input())\\nprint(int(math.sqrt(n))**2)\", \"import math\\nn = int(input())\\nprint(int(math.sqrt(n))**2)\", \"n = int(input())\\nc = 1\\nfor i in range(10**5):\\n    if i**2 <= n:c = i**2\\n    else:break\\nprint(c)\", \"N = int(input())\\n\\nfor i in range(int(N**0.5)+3):\\n  if i**2 > N:\\n    print((i-1)**2)\\n    break\", \"n = int(input())\\nprint(int(n**.5) ** 2)\", \"import math\\nN=int(input())\\nans=N\\nfor i in range(N):\\n  if math.sqrt(ans).is_integer():\\n    print(ans)\\n    break\\n  ans-=1\", \"N=int(input())\\nimport math\\nprint((int(math.sqrt(N)))**2)\", \"n = int(input())\\n\\nfor i in range(1, 10**5):\\n    p = i**2\\n    if p > n:\\n        print((i-1)**2)\\n        break\", \"import math\\n\\nn = int(input())\\nprint(math.floor(math.sqrt(n)) ** 2)\", \"N=int(input())\\nprint(int(N**(1/2))**2)\", \"n = int(input())\\n\\nans = 0\\nmax = int(n**0.5)+1\\nfor i in range(1, max, 1):\\n    tmp = i**2\\n    if tmp <= n:\\n        ans = tmp\\nprint(ans)\", \"n=int(input())\\n\\nfor i in range(10**5):\\n    if i**2 > n:\\n        print((i-1)**2)\\n        break\", \"n = int(input())\\np = int(n**0.5)\\na = 1\\nans = 1\\nwhile a<=p:\\n    if a**2 <=n:\\n        ans = max(ans,a**2)\\n    a +=1\\nprint(ans)\", \"N = int(input())\\nprint(int(N**(0.5))**2)\", \"N=int(input())\\nif int((N+1)**.5)**2==N:print(N)\\nelse:print(int(N**.5)**2)\", \"N = int(input())\\nprint((int(N**.5)**2))\\n\", \"N = int(input())\\nprint(int(N**0.5)**2)\", \"N = int(input())\\nfrom math import sqrt, floor\\nfor i in range(1,floor(sqrt(N))+2):\\n    if i**2 > N:\\n        print((i-1)**2)\", \"import math\\nn = int(input())\\n\\nfor i in range(10**5):\\n    if n < i ** 2:\\n        print((i-1) ** 2)\\n        break\", \"n=int(input())\\nprint(int(n**0.5)**2)\", \"n=int(input())\\nres=1\\nfor i in range(100000):\\n    if i**2>n:\\n        break\\n    res=i*i\\nprint(res)\", \"n = int(input())\\nfor i in range(1, n):\\n    if i**2 > n:\\n        print((i-1)**2)\\n        break\\nelse:\\n    print(1)\", \"import math\\nn = int(input())\\nfor i in range(10**9):\\n  if math.sqrt(n) == int(math.sqrt(n)):\\n    print(n)\\n    break\\n  n -= 1\\n\", \"N=int(input())\\nif N==1 :\\n  print(1)\\n  return\\nfor i in range(1,N+1) :\\n  if i*i>N :\\n    print((i-1)*(i-1))\\n    return\", \"n = int(input())\\n\\nans = 0\\nfor i in range(1, 10 ** 5):\\n    if i ** 2 <= n:\\n        ans = i ** 2\\n\\nprint(ans)\\n\", \"import math\\n\\nn = int(input())\\nprint(math.floor(math.sqrt(n)) ** 2)\", \"x = int(input())\\nfor i in range(10**5):\\n  if i**2>x:\\n    a=((i-1)**2)\\n    break\\nprint(a)\", \"import math\\nn = int(input())\\nprint(int(math.sqrt(n)) * int(math.sqrt(n)))\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nans = 1\\nfor i in range(1,n+1):\\n    if (i*i > n):\\n        ans =  (i-1)**2\\n        break\\nprint(ans)\\n\\n\\n\\n\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nimport heapq\\nimport re\\nimport numpy as np\\nfrom functools import reduce\\n\\nrr = lambda: sys.stdin.readline().rstrip()\\nrs = lambda: sys.stdin.readline().split()\\nri = lambda: int(sys.stdin.readline())\\nrm = lambda: list(map(int, sys.stdin.readline().split()))\\nrl = lambda: list(map(int, sys.stdin.readline().split()))\\ninf = float('inf')\\nmod = 10**9 + 7\\n\\nn = ri()\\na = int(n**0.5)\\nprint((a**2))\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\", \"N = int(input())\\nfor i in range(N+1):\\n    if i ** 2 == N:\\n        print((i**2))\\n        return\\n    elif i ** 2 > N:\\n        print((max((i-1)**2,1)))\\n        return\\n\", \"n = int(input())\\nans = 0\\nk = 1\\nwhile k ** 2 <= n:\\n  ans = k ** 2\\n  k += 1\\nprint(ans)\", \"#ABC077B\\nn = int(input())\\nwhile n>0:\\n    tmp = n**(1/2)\\n    if(tmp==int(tmp)):\\n        print(n)\\n        break\\n    n-=1\", \"#!/usr/bin/env python3\\nimport sys\\nsys.setrecursionlimit(10**6)\\n\\nn = int(input())\\n\\nans = 1\\nfor i in range(0, n):\\n    if (ans+1)**2 > n:\\n        break\\n    ans += 1\\nprint((ans**2))\\n\", \"import math\\nn = int(input())\\ntmp = int(math.sqrt(n))\\nprint(tmp**2)\", \"N = int(input())\\n\\ni = 1\\nwhile i*i <= N:\\n  i += 1\\n\\nprint((i-1)**2)\", \"N=int(input())\\nC=0\\nif N==1:\\n  print(1)\\n  return\\nfor i in range(1,N):\\n  if i**2<N:\\n    C=i**2\\n  elif i**2==N:\\n    C=i**2\\n    break\\n  elif i**2>N:\\n    break\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "81\n",
        "output": "81\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc077/tasks/abc077_b"
    },
    {
        "id": 514,
        "task_id": 4562,
        "test_case_id": 3,
        "question": "Find the largest square number not exceeding N. Here, a square number is an integer that can be represented as the square of an integer.\n\n-----Constraints-----\n - 1 \\leq N \\leq 10^9\n - N is an integer.\n\n-----Input-----\nInput is given from Standard Input in the following format:\nN\n\n-----Output-----\nPrint the largest square number not exceeding N.\n\n-----Sample Input-----\n10\n\n-----Sample Output-----\n9\n\n10 is not square, but 9 = 3 × 3 is. Thus, we print 9.",
        "solutions": "[\"N = int (input ())\\nx = 1\\nwhile x**2 <= N:\\n  x += 1\\nx -= 1\\nprint (x**2)\", \"#\\n# abc077 b\\n#\\nimport sys\\nfrom io import StringIO\\nimport unittest\\nimport math\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"10\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"9\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"81\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"81\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"271828182\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"271821169\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    N = int(input())\\n    print((math.floor(math.sqrt(N))**2))\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"n = int(input())\\n\\ni=1\\nwhile i*i <= n:\\n    ans = i*i\\n    i+=1\\nprint(ans)\", \"n = int(input())\\nprint(int(n**(1/2))**2)\", \"N = int(input())\\ni = 1\\nif N == 1:\\n    print(i)\\nelse:\\n    while i <= N:\\n        if((i * i) > N):\\n            print((i-1) * (i-1))\\n            break\\n        i += 1\", \"from math import sqrt\\n\\nn = int(input())\\n\\nfor i in range(int(sqrt(n) + 1)):\\n    if i ** 2 <= n:\\n        ans = i ** 2\\nprint(ans)\", \"from math import sqrt\\nn = int(input())\\nprint(int(sqrt(n))**2)\", \"#!/usr/bin/env python3\\nN = int(input())\\n\\nans = 0\\nfor i in range(1, 10**5):\\n    n = i ** 2\\n    if n <= N:\\n        ans = n\\n    else:\\n        break\\nprint(ans)\\n\", \"print(int(int(input())**.5)**2)\", \"a=int(input())\\ni=0\\nwhile i**2<=a:\\n  i=i+1\\nprint((i-1)**2)\", \"n = int(input())\\n\\nfor i in range(n, 0, -1):\\n  j = int(i ** 0.5)\\n  if int(j) ** 2 == i:\\n    break\\nprint(i)\\n\", \"print((int(int(input())**0.5)**2))\\n\", \"import math\\nx=int(input())\\ny= math.sqrt(x)\\nz= y//1\\na=z**2\\nprint(int(a))\", \"n = int(input())\\nprint((int(n ** 0.5) ** 2))\\n\", \"n = int(input())\\nwhile (n ** 0.5) % 1 != 0:\\n    n -= 1\\nprint(n)\", \"print(int(int(input()) ** 0.5) ** 2)\", \"from math import sqrt\\n\\nn = int(input())\\n\\nans = int(sqrt(n))\\n\\nif (ans + 1) * (ans + 1) <= n:\\n    print((ans + 1) * (ans + 1))\\nelif ans * ans <= n:\\n    print(ans * ans)\\nelse:\\n    print((ans - 1) * (ans - 1))\", \"print(int(int(input())**0.5//1)**2)\", \"N=int(input())\\nans=1\\nfor i in range(N+1):\\n    if i*i<=N:\\n        ans=i\\n    else:\\n        break\\nprint((ans**2))\\n\", \"n = int(input())\\nx = 1\\nwhile x * x <= n:\\n    x += 1\\n \\nx -= 1\\nprint(x * x)\", \"n = int(input())\\nprint(int(n ** 0.5) ** 2)\", \"n = int(input())\\nfor i in range(100000):\\n  if n >= (10**5-i)**2:\\n    print((10**5-i)**2)\\n    return\", \"n=int(input())\\nprint(int(n**(1/2))**2)\", \"import math\\nprint(int(math.sqrt(int(input())))**2)\", \"from math import sqrt\\nn=int(input())\\nfor i in range(1,int(sqrt(n))+1):\\n  if i**2>n:\\n    print((i-1)**2)\\n    break\\nelse:\\n  print(i**2)\", \"import sys\\nN=int(input())\\nif N==1:\\n    print(\\\"1\\\")\\nelif N==2:\\n    print(\\\"1\\\")\\nelse:\\n    for i in range(N):\\n        if i**2>N:\\n            print((i-1)**2)\\n            return\\n        else:\\n            pass\", \"import math\\nN=int(input())\\nc=int(math.sqrt(N))\\nprint(c**2)\", \"n=int(input())\\ni=1\\ntmp=1\\nwhile True:\\n  if i**2 <= n:\\n    tmp = i**2\\n  else:\\n    break\\n  i += 1\\nprint(tmp)\", \"def multiple(n):\\n    a = []\\n    for i in range(1,int(n**.5)+1):\\n        a.append(i*i)\\n    return a\\nn = int(input())\\na = multiple(n)\\nans = 10**18\\nfor i in a:\\n    if n-i < 0:\\n        continue\\n    ans = min(ans,abs(n-i))\\nprint(n-ans)\", \"# coding = SJIS\\n\\nn = int(input())\\n\\nfor i in range(n):\\n    if int((n - i) ** 0.5) == (n - i) ** 0.5:\\n        print((n - i))\\n        return\\n\", \"import math\\na=int(input())\\nb=math.sqrt(a)\\nn=math.ceil(b)\\nm=math.floor(b)\\nprint(m**2)\", \"N=int(input())\\nfor i in range(int(N**0.5)+1):\\n    if N>=i**2:\\n        ans=i**2\\n    else:\\n        break\\nprint(ans)\", \"import math\\n\\n\\ndef answer(n: int) -> int:\\n    return int(math.sqrt(n)) ** 2\\n\\n\\ndef main():\\n    n = int(input())\\n    print(answer(n))\\n\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"n=int(input())\\nfor i in range(1,10**5+2):\\n  if i**2>n:print(((i-1)**2));return\\n\", \"n = int(input())\\nfor i in range(100000):\\n  if i**2 > n:\\n    print((i-1)**2)\\n    break\", \"n = int(input())\\nfor i in range(1,n+2):\\n    if i*i > n:\\n        print((i-1)*(i-1))\\n        return\", \"print((int(int(input())**.5)**2))\\n\", \"n = int(input())\\nans=1\\nfor i in range(n+1):\\n    if i**2<=n:\\n        ans=i**2\\n    else:\\n        break\\n\\nprint(ans)\", \"import math\\nN = int(input())\\n\\nans = 1\\nfor i in range(1,math.floor(math.sqrt(N))+1):\\n  if i * i <= N:\\n    ans = i * i\\n    \\nprint(ans)\", \"def main():\\n    N = int(input())\\n    a = 1\\n    i = 0\\n    prev = 0\\n    while a <= N:\\n        i += 1\\n        prev = a\\n        if a > N:\\n            break\\n        else:\\n            a = i * i\\n    print(prev) \\nmain()\\n\", \"print(int(int(input())**.5)**2)\", \"import math\\nN = int(input())\\nfor i in range(N):\\n  x = N - i\\n  if int(math.sqrt(x)) == math.sqrt(x):\\n    print(x)\\n    break\\n\", \"N = int(input())\\n\\nfrom math import floor, sqrt\\nans = floor(sqrt(N))**2\\nprint(ans)\\n\", \"n = int(input())\\nprint(int(n**0.5)**2)\", \"N = int(input())\\nfor i in range(1, N+1):\\n    if i*i > N:\\n        print(((i-1)*(i-1)))\\n        return\\nprint((1))\\n\", \"N = int(input())\\n \\nprint(int(N**0.5)**2)\", \"N = int(input())\\nprint(int(N**(1/2))**2)\", \"N = int(input())\\nprint(int((N**(1/2)//1)**2))\", \"n=int(input())\\n\\nans=1\\nloop = 3\\nfor i in range (1,100000):\\n        if i**2 <= n:\\n                ans=i**2\\n        \\n        \\n\\nprint(ans)\", \"n=int(input())\\ni=1\\ntmp=1\\nwhile True:\\n  if i**2<=n:\\n    tmp=i**2\\n  else:\\n    break\\n  i+=1\\nprint(tmp)\", \"n = int(input())\\nprint((int(n ** 0.5)) ** 2)\", \"N = int(input())\\n\\nfor i in range(1, 10**9):\\n  if i**2 == N:\\n    print((i**2))\\n    break\\n  elif i**2 > N:\\n    print(((i-1)**2))\\n    break\\n\", \"N = int(input())\\nprint((int(N**(1/2))**2))\\n\", \"n = int(input())\\nprint((int(n**(1/2)))**2)\", \"n = int(input())\\n\\n\\nans = 1\\nfor i in range(1, n):\\n  if i**2 > n:\\n    ans = (i-1)**2\\n    break\\n\\n\\nprint(ans)\", \"import math\\nans=math.floor(int(input())**0.5)\\nprint (ans*ans)\", \"N = int(input())\\nans = 1\\nfor i in range(1, N):\\n    if i*i > N:\\n        break\\n    ans = max(ans, i*i)\\nprint(ans)\", \"print(int(int(input())**.5)**2)\", \"n = int(input())\\nans = 0\\nfor i in range(100001):\\n    if i **2 <= n:\\n        ans = i**2\\n    \\nprint(ans)\\n\", \"import math\\n\\nN=int(input())\\nn=math.floor(math.sqrt(N))**2\\n\\nprint(n)\\n\\n\", \"n = int(input())\\nprint(int(n ** 0.5) ** 2)\", \"from math import sqrt\\n\\nn = int(input())\\nprint(int(sqrt(n)) ** 2)\", \"import math\\nn = int(input())\\nprint(int(math.sqrt(n))**2)\", \"import math\\nn = int(input())\\nprint(int(math.sqrt(n))**2)\", \"n = int(input())\\nc = 1\\nfor i in range(10**5):\\n    if i**2 <= n:c = i**2\\n    else:break\\nprint(c)\", \"N = int(input())\\n\\nfor i in range(int(N**0.5)+3):\\n  if i**2 > N:\\n    print((i-1)**2)\\n    break\", \"n = int(input())\\nprint(int(n**.5) ** 2)\", \"import math\\nN=int(input())\\nans=N\\nfor i in range(N):\\n  if math.sqrt(ans).is_integer():\\n    print(ans)\\n    break\\n  ans-=1\", \"N=int(input())\\nimport math\\nprint((int(math.sqrt(N)))**2)\", \"n = int(input())\\n\\nfor i in range(1, 10**5):\\n    p = i**2\\n    if p > n:\\n        print((i-1)**2)\\n        break\", \"import math\\n\\nn = int(input())\\nprint(math.floor(math.sqrt(n)) ** 2)\", \"N=int(input())\\nprint(int(N**(1/2))**2)\", \"n = int(input())\\n\\nans = 0\\nmax = int(n**0.5)+1\\nfor i in range(1, max, 1):\\n    tmp = i**2\\n    if tmp <= n:\\n        ans = tmp\\nprint(ans)\", \"n=int(input())\\n\\nfor i in range(10**5):\\n    if i**2 > n:\\n        print((i-1)**2)\\n        break\", \"n = int(input())\\np = int(n**0.5)\\na = 1\\nans = 1\\nwhile a<=p:\\n    if a**2 <=n:\\n        ans = max(ans,a**2)\\n    a +=1\\nprint(ans)\", \"N = int(input())\\nprint(int(N**(0.5))**2)\", \"N=int(input())\\nif int((N+1)**.5)**2==N:print(N)\\nelse:print(int(N**.5)**2)\", \"N = int(input())\\nprint((int(N**.5)**2))\\n\", \"N = int(input())\\nprint(int(N**0.5)**2)\", \"N = int(input())\\nfrom math import sqrt, floor\\nfor i in range(1,floor(sqrt(N))+2):\\n    if i**2 > N:\\n        print((i-1)**2)\", \"import math\\nn = int(input())\\n\\nfor i in range(10**5):\\n    if n < i ** 2:\\n        print((i-1) ** 2)\\n        break\", \"n=int(input())\\nprint(int(n**0.5)**2)\", \"n=int(input())\\nres=1\\nfor i in range(100000):\\n    if i**2>n:\\n        break\\n    res=i*i\\nprint(res)\", \"n = int(input())\\nfor i in range(1, n):\\n    if i**2 > n:\\n        print((i-1)**2)\\n        break\\nelse:\\n    print(1)\", \"import math\\nn = int(input())\\nfor i in range(10**9):\\n  if math.sqrt(n) == int(math.sqrt(n)):\\n    print(n)\\n    break\\n  n -= 1\\n\", \"N=int(input())\\nif N==1 :\\n  print(1)\\n  return\\nfor i in range(1,N+1) :\\n  if i*i>N :\\n    print((i-1)*(i-1))\\n    return\", \"n = int(input())\\n\\nans = 0\\nfor i in range(1, 10 ** 5):\\n    if i ** 2 <= n:\\n        ans = i ** 2\\n\\nprint(ans)\\n\", \"import math\\n\\nn = int(input())\\nprint(math.floor(math.sqrt(n)) ** 2)\", \"x = int(input())\\nfor i in range(10**5):\\n  if i**2>x:\\n    a=((i-1)**2)\\n    break\\nprint(a)\", \"import math\\nn = int(input())\\nprint(int(math.sqrt(n)) * int(math.sqrt(n)))\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n#a = [int(input()) for _ in range(n)]\\n\\nn = int(input())\\n\\nans = 1\\nfor i in range(1,n+1):\\n    if (i*i > n):\\n        ans =  (i-1)**2\\n        break\\nprint(ans)\\n\\n\\n\\n\", \"import sys\\nimport math\\nimport itertools\\nimport collections\\nimport heapq\\nimport re\\nimport numpy as np\\nfrom functools import reduce\\n\\nrr = lambda: sys.stdin.readline().rstrip()\\nrs = lambda: sys.stdin.readline().split()\\nri = lambda: int(sys.stdin.readline())\\nrm = lambda: list(map(int, sys.stdin.readline().split()))\\nrl = lambda: list(map(int, sys.stdin.readline().split()))\\ninf = float('inf')\\nmod = 10**9 + 7\\n\\nn = ri()\\na = int(n**0.5)\\nprint((a**2))\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\", \"N = int(input())\\nfor i in range(N+1):\\n    if i ** 2 == N:\\n        print((i**2))\\n        return\\n    elif i ** 2 > N:\\n        print((max((i-1)**2,1)))\\n        return\\n\", \"n = int(input())\\nans = 0\\nk = 1\\nwhile k ** 2 <= n:\\n  ans = k ** 2\\n  k += 1\\nprint(ans)\", \"#ABC077B\\nn = int(input())\\nwhile n>0:\\n    tmp = n**(1/2)\\n    if(tmp==int(tmp)):\\n        print(n)\\n        break\\n    n-=1\", \"#!/usr/bin/env python3\\nimport sys\\nsys.setrecursionlimit(10**6)\\n\\nn = int(input())\\n\\nans = 1\\nfor i in range(0, n):\\n    if (ans+1)**2 > n:\\n        break\\n    ans += 1\\nprint((ans**2))\\n\", \"import math\\nn = int(input())\\ntmp = int(math.sqrt(n))\\nprint(tmp**2)\", \"N = int(input())\\n\\ni = 1\\nwhile i*i <= N:\\n  i += 1\\n\\nprint((i-1)**2)\", \"N=int(input())\\nC=0\\nif N==1:\\n  print(1)\\n  return\\nfor i in range(1,N):\\n  if i**2<N:\\n    C=i**2\\n  elif i**2==N:\\n    C=i**2\\n    break\\n  elif i**2>N:\\n    break\\nprint(C)\"]",
        "difficulty": "introductory",
        "input": "271828182\n",
        "output": "271821169\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc077/tasks/abc077_b"
    },
    {
        "id": 515,
        "task_id": 4577,
        "test_case_id": 1,
        "question": "You are given three integers A, B and C.\nDetermine whether C is not less than A and not greater than B.\n\n-----Constraints-----\n - -100≤A,B,C≤100 \n - A, B and C are all integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:  \nA B C\n\n-----Output-----\nIf the condition is satisfied, print Yes; otherwise, print No.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\nYes\n\nC=2 is not less than A=1 and not greater than B=3, and thus the output should be Yes.",
        "solutions": "[\"# 3 \\u3064\\u306e\\u6574\\u6570 A , B , C \\u304c\\u4e0e\\u3048\\u3089\\u308c\\u307e\\u3059\\u3002\\n# \\u6574\\u6570 C \\u304c A \\u4ee5\\u4e0a \\u304b\\u3064 B \\u4ee5\\u4e0b\\u3067\\u3042\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3057\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nA,B,C = map(int,input().split())\\n\\nif C >= A and C <= B:\\n    print('Yes')\\n\\nelse:\\n    print('No')\", \"A,B,C = map(int,input().split())\\n\\nif A <= C and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"# A - Between Two Integers\\n# https://atcoder.jp/contests/abc061/tasks/abc061_a\\n\\nA, B, C = list(map(int, input().split()))\\n\\nresult = 'No'\\n\\nif A <= C <= B:\\n    result = 'Yes'\\n\\nprint(result)\\n\", \"a,b,c=map(int,input().split(\\\" \\\"))\\nprint(\\\"Yes\\\") if a<=c and c<=b else print(\\\"No\\\")\", \"a, b, c = map( int, input().split())\\n\\nif a <= c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nif a<=c<=b:print('Yes')\\nelse:print('No')\", \"a, b, c = map(int, input().split())\\nif c >= a and c <= b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A, B, C = map(int, input().split())\\n\\nif C >= A and C <= B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nprint(\\\"Yes\\\" if a<=c<=b else \\\"No\\\")\", \"# 3\\u3064\\u306e\\u6574\\u6570 A, B, C \\u304c\\u4e0e\\u3048\\u3089\\u308c\\u307e\\u3059\\u3002\\n# \\u6574\\u6570 C \\u304c A \\u4ee5\\u4e0a \\u304b\\u3064 B \\u4ee5\\u4e0b\\u3067\\u3042\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3057\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\n# \\u5236\\u7d04\\n# \\u2212100 \\u2266 A, B, C \\u2266 100\\n# A, B, C \\u306f\\u5168\\u3066\\u6574\\u6570\\n\\n# \\u6a19\\u6e96\\u5165\\u529b\\u304b\\u3089 A, B, C \\u3092\\u53d6\\u5f97\\u3059\\u308b\\na, b, c = list(map(int, input().split()))\\n\\n# \\u5224\\u5b9a\\u3057\\u3066\\u7d50\\u679c\\u3092\\u51fa\\u529b\\u3059\\u308b\\nresut = \\\"ret\\\"\\n\\nif a <= c and b >= c:\\n    result = \\\"Yes\\\"\\nelse:\\n    result = \\\"No\\\"\\n\\nprint(result)\\n\", \"a,b,c = map(int,input().split())\\nif a <= c and c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"i = list(map(int,input().split()))\\n\\nif i[0]<=i[2]<=i[1]:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b,c=map(int,input().split())\\nif a<=c<=b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nprint(\\\"Yes\\\"if a<=c<=b else \\\"No\\\")\", \"a,b,c = list(map(int,input().split()))\\nprint((\\\"Yes\\\" if a<=c<=b else \\\"No\\\"))\\n\", \"# \\u5404\\u6570\\u5024\\u306e\\u53d6\\u5f97\\nA,B,C = map(int,input().split())\\n\\n# \\u6570\\u5024\\u3092\\u6bd4\\u8f03\\u3057\\u3066\\u30e1\\u30c3\\u30bb\\u30fc\\u30b8\\u3092\\u51fa\\u529b\\nif C >= A \\\\\\nand C <=B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nif a<=c and c<=b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b, c = map(int, input().split())\\n\\nif a <= c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"A, B, C = map(int, input().split())\\n\\nprint(\\\"Yes\\\" if A <= C and C <= B else \\\"No\\\")\", \"a,b,c = map(int,input().split())\\n\\nprint('Yes' if a <= c <= b else 'No')\", \"a,b,c = map(int,input().split())\\nif a <= c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c = map(int,input().split())\\nif a <= c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c = map(int, input().split())\\nans = 'Yes' if c >= a and c <= b else 'No'\\nprint(ans)\", \"# 061_a\\nA, B, C = list(map(int, input().split()))\\nif (-100 <= A <= 100) and (-100 <= B <= 100) and (-100 <= C <= 100):\\n    if A <= C and C <= B:\\n        print('Yes')\\n    else:\\n        print('No')\\n\", \"A,B,C = map(int, input().split())\\n\\nif C >= A and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c = map(int,input().split())\\nprint(\\\"Yes\\\" if a<=c<=b\\n      else \\\"No\\\")\", \"a,b,c = map(int,input().split())\\nprint(\\\"Yes\\\" if a <= c and c <= b else \\\"No\\\")\", \"# 3\\u3064\\u306e\\u6574\\u6570A,B,C\\u3002C\\u304cA\\u4ee5\\u4e0a\\u304b\\u3064B\\u4ee5\\u4e0b\\u304b\\u5224\\u5b9a\\u3002\\n\\nA, B, C = map(int, input().split())\\n\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"A, B, C =map(int,input().split())\\nif C >= A and C <= B:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"#   AtCoder abc061 a\\n#   \\u30b9\\u30c8\\u30ec\\u30c3\\u30c1\\u8ab2\\u984c\\n\\n#   \\u5165\\u529b\\na, b, c = list(map(int, input().split()))\\n\\n#   \\u5224\\u5b9a\\nif (c >= a) and (c <= b):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b,c=map(int,input().split())\\nif c>=a and c<=b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c = list(map(int,input().split()))\\n#lis = list(map(int,input().split()))\\nprint((\\\"Yes\\\" if a<=c<=b else \\\"No\\\"))\\n\\n\\n\\n\\n\", \"A,B,C=list(map(int,input().split()))\\nif C>=A and B>=C:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"a,b,c=map(int,input().split())\\nif (a<=c and c<=b):\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c=map(int,input().split())\\nif (a<=c)and(c<=b):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split());print('NYoe s'[a<=c<=b::2])\", \"A,B,C=map(int,input().split())\\nif C>=A and C<=B :\\n  print(\\\"Yes\\\")\\nelse :\\n  print(\\\"No\\\")\", \"A, B, C = [int(i) for i in input().split()]\\nif C >= A and C <= B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"A, B, C = map(int, input().split())\\n\\nif A <= C and B >= C:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b, c = map(int, input().split())\\nprint('Yes' if a<=c<=b else 'No')\", \"A,B,C=list(map(int,input().split()))\\nif A<=C and C<=B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a, b, c = map(int, input().split())\\n\\nif a <= c and c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b, c = map(int, input().split())\\nprint('Yes' if a <= c <= b else 'No')\", \"a, b, c=map(int, input().split())\\nif a<=c<=b:\\n  print('Yes')\\nelse:\\n  print('No')\", \"A,B,C = map(int,input().split())\\nprint(\\\"Yes\\\") if A<=C<=B else print(\\\"No\\\")\", \"a,b,c=map(int, input().split())\\nprint(\\\"Yes\\\" if a<=c<=b else \\\"No\\\")\", \"A, B, C = list(map(int, input().split()))\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c = [int(x) for x in input().split()]\\nif a <= c <= b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A, B, C = list(map(int, input().split()))\\n\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a,b,c=map(int,input().split())\\n\\nif c>=a and c<=b:\\n    ans=\\\"Yes\\\"\\nelse:\\n    ans=\\\"No\\\"\\nprint(ans)\", \"A, B, C = map(int, input().split())\\n\\nif (C >= A) and (C <= B):\\n    print( \\\"Yes\\\" )\\nelse :\\n    print( \\\"No\\\" )\", \"A, B, C = map(int,input().split())\\nprint(\\\"Yes\\\" if A <= C <= B else \\\"No\\\")\", \"A,B,C = map(int, input().split())\\nprint('Yes' if A<=C<=B else 'No')\", \"a, b, c = map(int, input().split())\\n\\nif a <= c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c = map(int,input().split())\\n\\nif a<= c and b>=c:\\n    print('Yes')\\nelse:\\n    print('No')\", \"A, B, C = map(int, input().split())\\n\\nif C >= A and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"import sys\\n\\ndef I(): return int(sys.stdin.readline())\\ndef MI(): return map(int, sys.stdin.readline().split())\\ndef LI(): return list(map(int, sys.stdin.readline().split()))\\ndef main():\\n    a, b, c = MI()\\n    if a <= c and c <= b:\\n        print('Yes')\\n    else:\\n        print('No')\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# 061a\\n\\nA, B, C = list(map(int, input().split()))\\n\\nif C >= A and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a = list(map(int,input().split()))\\n\\nprint('Yes' if a[0] <= a[2] <= a[1] else 'No')\", \"A,B,C=map(int,input().split())\\nif (C>=A) & (C<=B):\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nif a<=c and c<=b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A,B,C = map(int,input().split())\\nprint(['No','Yes'][C>=A and B>=C])\", \"#\\n# abc061 a\\n#\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"1 3 2\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"Yes\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"6 5 4\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"No\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"2 2 2\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"Yes\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    A, B, C = list(map(int, input().split()))\\n    if A <= C <= B:\\n        print(\\\"Yes\\\")\\n    else:\\n        print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"a, b, c = map(int, input().split())\\nif a <= c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"A,B,C = map(int,input().split())\\n\\nif A <= C <= B:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A, B, C = map(int,input().split())\\n\\nif B >= C >= A:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"A,B,C = list(map(int, input().split()))\\n\\nif C >= A and C <= B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"# \\u5165\\u529b\\nA, B, C = map(int, input().split())\\n\\n# \\u51fa\\u529b\\nif -100 <= A and B and C <= 100:\\n    if C >= A and C <= B:\\n        print('Yes')\\n    else:\\n        print('No')\", \"a,b,c = map(int,input().split())\\nif c >= a and c <= b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b, c = list(map(int, input().split()))\\n\\nif (c >= a) and (c <= b):\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"A, B, C = map(int, input().split())\\nif C >= A and C <= B:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"# \\u5165\\u529b\\nA, B, C =map(int,input().split())\\n\\n# \\u51e6\\u7406\\nif C >=A and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"A, B, C = map(int,input().split())\\nif (C>=A) and (C<=B):\\n  print('Yes')\\nelse:\\n  print('No')\", \"a, b, c = map(int,input().split())\\nprint('Yes') if a <= c <= b else print('No')\\n\", \"S_list = list(map(int,input().split()))\\n\\nif  S_list[1] - S_list[0] >= 0 and S_list[2]- S_list[0] >=0 and S_list[1] - S_list[2] >=0:\\n    result = \\\"Yes\\\"\\nelse:\\n    result = \\\"No\\\"\\nprint(result)\\n\", \"a,b,c = map(int,input().split())\\nprint(\\\"Yes\\\" if c>=a and c<=b else \\\"No\\\")\", \"a,b,c = map(int, input().split())\\nif a <= c and c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b, c = list(map(int, input().split()))\\nif a <= c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"#n = int(input())\\na, b, c = list(map(int, input().split()))\\n#l = list(map(int,input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n\\nif a <= c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a,b,c = map(int,input().split())\\nif a<=c<=b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a = list(map(int,input().split()))\\n# b = list(map(int,input().split()))\\n\\nif a[0]<=a[2]<=a[1]:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import sys, math\\nfrom itertools import combinations as c, product as p\\nfrom collections import deque\\nsys.setrecursionlimit(10**9)\\nINF = float('inf')\\nMOD = 10**9 + 7\\n#MOD = 998244353\\n\\n\\ndef si(): return input()\\ndef ii(): return int(input())\\ndef fi(): return float(input())\\ndef lstr(): return input().split()\\ndef lint(): return list(map(int, input().split()))\\ndef lintdec(): return list(map(lambda x:int(x) - 1, input().split()))\\ndef lnstr(n): return [input() for _ in range(n)]\\ndef lnint(n): return [int(input()) for _ in range(n)]\\ndef lint_list(n): return [lint() for _ in range(n)]\\n\\n\\n\\n############################################################\\nA, B, C = lint()\\nprint('Yes' if A <= C <= B else 'No')\", \"# A - Between Two Integers\\n\\n# \\u6574\\u6570A,B,C\\u304c\\u5165\\u529b\\u3055\\u308c\\u308b\\n# C\\u304cA\\u4ee5\\u4e0a\\u304b\\u3064B\\u4ee5\\u4e0b\\u3067\\u3042\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n\\n\\nA,B,C = list(map(int,input().split()))\\n\\nif A<=C and B>=C:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a, b, c = list(map(int, input().split()))\\n\\nif a <= c and c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b,c=map(int,input().split())\\nif a<=c and c<=b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A, B, C = map(int, input().split())\\nprint(\\\"Yes\\\" if C >= A and C <= B else \\\"No\\\")\", \"def iroha():\\n    a, b, c = list(map(int, input().split()))\\n\\n    if a <= c and b >= c:\\n        print(\\\"Yes\\\")\\n    else:\\n        print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    iroha()\\n\\n\\n__starting_point()\", \"# \\u5165\\u529b\\nA, B, C = map(int, input().split())\\n\\n# C\\u304cA\\u4ee5\\u4e0a\\u304b\\u3064B\\u4ee5\\u4e0b\\u306a\\u3089Yes\\u3001\\u9055\\u3046\\u306a\\u3089No\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b, c = map(int, input().split())\\nif c >= a and c <= b: print('Yes')\\nelse: print('No')\", \"a,b,c = map(int,input().split())\\nprint(\\\"Yes\\\" if a<=c<=b else \\\"No\\\")\", \"a=list(map(int,input().split()))\\n\\nif (a[2]>=a[0]) and (a[2]<=a[1]):\\n  print('Yes')\\n  \\nelse:\\n  print('No')\", \"A, B, C = map(int, open(0).readline().split())\\nprint('Yes' if A <= C <= B else 'No')\", \"a,b,c = map(int, input().split())\\n\\nif b >= c >= a:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"'''\\nabc061 A - Between Two Integers\\nhttps://atcoder.jp/contests/abc061/tasks/abc061_a\\n'''\\n\\ni = list(map(int, input().split()))\\nif i[2] >= i[0] and i[1] >= i[2]:\\n    ans = 'Yes'\\nelse:\\n    ans = 'No'\\nprint(ans)\\n\", \"a, b, c = map(int, input().split())\\n\\nif c>=a and c<=b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a, b, c = map(int, input().split())\\nif c >= a and c <= b:\\n  print('Yes')\\nelse:\\n  print('No')\", \"A, B, C = map(int, input().split())\\n\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c=map(int,input().split())\\nprint(\\\"Yes\\\" if a<=c<=b else \\\"No\\\")\"]",
        "difficulty": "introductory",
        "input": "1 3 2\n",
        "output": "Yes\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc061/tasks/abc061_a"
    },
    {
        "id": 516,
        "task_id": 4577,
        "test_case_id": 2,
        "question": "You are given three integers A, B and C.\nDetermine whether C is not less than A and not greater than B.\n\n-----Constraints-----\n - -100≤A,B,C≤100 \n - A, B and C are all integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:  \nA B C\n\n-----Output-----\nIf the condition is satisfied, print Yes; otherwise, print No.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\nYes\n\nC=2 is not less than A=1 and not greater than B=3, and thus the output should be Yes.",
        "solutions": "[\"# 3 \\u3064\\u306e\\u6574\\u6570 A , B , C \\u304c\\u4e0e\\u3048\\u3089\\u308c\\u307e\\u3059\\u3002\\n# \\u6574\\u6570 C \\u304c A \\u4ee5\\u4e0a \\u304b\\u3064 B \\u4ee5\\u4e0b\\u3067\\u3042\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3057\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nA,B,C = map(int,input().split())\\n\\nif C >= A and C <= B:\\n    print('Yes')\\n\\nelse:\\n    print('No')\", \"A,B,C = map(int,input().split())\\n\\nif A <= C and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"# A - Between Two Integers\\n# https://atcoder.jp/contests/abc061/tasks/abc061_a\\n\\nA, B, C = list(map(int, input().split()))\\n\\nresult = 'No'\\n\\nif A <= C <= B:\\n    result = 'Yes'\\n\\nprint(result)\\n\", \"a,b,c=map(int,input().split(\\\" \\\"))\\nprint(\\\"Yes\\\") if a<=c and c<=b else print(\\\"No\\\")\", \"a, b, c = map( int, input().split())\\n\\nif a <= c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nif a<=c<=b:print('Yes')\\nelse:print('No')\", \"a, b, c = map(int, input().split())\\nif c >= a and c <= b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A, B, C = map(int, input().split())\\n\\nif C >= A and C <= B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nprint(\\\"Yes\\\" if a<=c<=b else \\\"No\\\")\", \"# 3\\u3064\\u306e\\u6574\\u6570 A, B, C \\u304c\\u4e0e\\u3048\\u3089\\u308c\\u307e\\u3059\\u3002\\n# \\u6574\\u6570 C \\u304c A \\u4ee5\\u4e0a \\u304b\\u3064 B \\u4ee5\\u4e0b\\u3067\\u3042\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3057\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\n# \\u5236\\u7d04\\n# \\u2212100 \\u2266 A, B, C \\u2266 100\\n# A, B, C \\u306f\\u5168\\u3066\\u6574\\u6570\\n\\n# \\u6a19\\u6e96\\u5165\\u529b\\u304b\\u3089 A, B, C \\u3092\\u53d6\\u5f97\\u3059\\u308b\\na, b, c = list(map(int, input().split()))\\n\\n# \\u5224\\u5b9a\\u3057\\u3066\\u7d50\\u679c\\u3092\\u51fa\\u529b\\u3059\\u308b\\nresut = \\\"ret\\\"\\n\\nif a <= c and b >= c:\\n    result = \\\"Yes\\\"\\nelse:\\n    result = \\\"No\\\"\\n\\nprint(result)\\n\", \"a,b,c = map(int,input().split())\\nif a <= c and c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"i = list(map(int,input().split()))\\n\\nif i[0]<=i[2]<=i[1]:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b,c=map(int,input().split())\\nif a<=c<=b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nprint(\\\"Yes\\\"if a<=c<=b else \\\"No\\\")\", \"a,b,c = list(map(int,input().split()))\\nprint((\\\"Yes\\\" if a<=c<=b else \\\"No\\\"))\\n\", \"# \\u5404\\u6570\\u5024\\u306e\\u53d6\\u5f97\\nA,B,C = map(int,input().split())\\n\\n# \\u6570\\u5024\\u3092\\u6bd4\\u8f03\\u3057\\u3066\\u30e1\\u30c3\\u30bb\\u30fc\\u30b8\\u3092\\u51fa\\u529b\\nif C >= A \\\\\\nand C <=B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nif a<=c and c<=b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b, c = map(int, input().split())\\n\\nif a <= c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"A, B, C = map(int, input().split())\\n\\nprint(\\\"Yes\\\" if A <= C and C <= B else \\\"No\\\")\", \"a,b,c = map(int,input().split())\\n\\nprint('Yes' if a <= c <= b else 'No')\", \"a,b,c = map(int,input().split())\\nif a <= c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c = map(int,input().split())\\nif a <= c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c = map(int, input().split())\\nans = 'Yes' if c >= a and c <= b else 'No'\\nprint(ans)\", \"# 061_a\\nA, B, C = list(map(int, input().split()))\\nif (-100 <= A <= 100) and (-100 <= B <= 100) and (-100 <= C <= 100):\\n    if A <= C and C <= B:\\n        print('Yes')\\n    else:\\n        print('No')\\n\", \"A,B,C = map(int, input().split())\\n\\nif C >= A and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c = map(int,input().split())\\nprint(\\\"Yes\\\" if a<=c<=b\\n      else \\\"No\\\")\", \"a,b,c = map(int,input().split())\\nprint(\\\"Yes\\\" if a <= c and c <= b else \\\"No\\\")\", \"# 3\\u3064\\u306e\\u6574\\u6570A,B,C\\u3002C\\u304cA\\u4ee5\\u4e0a\\u304b\\u3064B\\u4ee5\\u4e0b\\u304b\\u5224\\u5b9a\\u3002\\n\\nA, B, C = map(int, input().split())\\n\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"A, B, C =map(int,input().split())\\nif C >= A and C <= B:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"#   AtCoder abc061 a\\n#   \\u30b9\\u30c8\\u30ec\\u30c3\\u30c1\\u8ab2\\u984c\\n\\n#   \\u5165\\u529b\\na, b, c = list(map(int, input().split()))\\n\\n#   \\u5224\\u5b9a\\nif (c >= a) and (c <= b):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b,c=map(int,input().split())\\nif c>=a and c<=b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c = list(map(int,input().split()))\\n#lis = list(map(int,input().split()))\\nprint((\\\"Yes\\\" if a<=c<=b else \\\"No\\\"))\\n\\n\\n\\n\\n\", \"A,B,C=list(map(int,input().split()))\\nif C>=A and B>=C:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"a,b,c=map(int,input().split())\\nif (a<=c and c<=b):\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c=map(int,input().split())\\nif (a<=c)and(c<=b):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split());print('NYoe s'[a<=c<=b::2])\", \"A,B,C=map(int,input().split())\\nif C>=A and C<=B :\\n  print(\\\"Yes\\\")\\nelse :\\n  print(\\\"No\\\")\", \"A, B, C = [int(i) for i in input().split()]\\nif C >= A and C <= B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"A, B, C = map(int, input().split())\\n\\nif A <= C and B >= C:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b, c = map(int, input().split())\\nprint('Yes' if a<=c<=b else 'No')\", \"A,B,C=list(map(int,input().split()))\\nif A<=C and C<=B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a, b, c = map(int, input().split())\\n\\nif a <= c and c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b, c = map(int, input().split())\\nprint('Yes' if a <= c <= b else 'No')\", \"a, b, c=map(int, input().split())\\nif a<=c<=b:\\n  print('Yes')\\nelse:\\n  print('No')\", \"A,B,C = map(int,input().split())\\nprint(\\\"Yes\\\") if A<=C<=B else print(\\\"No\\\")\", \"a,b,c=map(int, input().split())\\nprint(\\\"Yes\\\" if a<=c<=b else \\\"No\\\")\", \"A, B, C = list(map(int, input().split()))\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c = [int(x) for x in input().split()]\\nif a <= c <= b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A, B, C = list(map(int, input().split()))\\n\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a,b,c=map(int,input().split())\\n\\nif c>=a and c<=b:\\n    ans=\\\"Yes\\\"\\nelse:\\n    ans=\\\"No\\\"\\nprint(ans)\", \"A, B, C = map(int, input().split())\\n\\nif (C >= A) and (C <= B):\\n    print( \\\"Yes\\\" )\\nelse :\\n    print( \\\"No\\\" )\", \"A, B, C = map(int,input().split())\\nprint(\\\"Yes\\\" if A <= C <= B else \\\"No\\\")\", \"A,B,C = map(int, input().split())\\nprint('Yes' if A<=C<=B else 'No')\", \"a, b, c = map(int, input().split())\\n\\nif a <= c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c = map(int,input().split())\\n\\nif a<= c and b>=c:\\n    print('Yes')\\nelse:\\n    print('No')\", \"A, B, C = map(int, input().split())\\n\\nif C >= A and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"import sys\\n\\ndef I(): return int(sys.stdin.readline())\\ndef MI(): return map(int, sys.stdin.readline().split())\\ndef LI(): return list(map(int, sys.stdin.readline().split()))\\ndef main():\\n    a, b, c = MI()\\n    if a <= c and c <= b:\\n        print('Yes')\\n    else:\\n        print('No')\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# 061a\\n\\nA, B, C = list(map(int, input().split()))\\n\\nif C >= A and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a = list(map(int,input().split()))\\n\\nprint('Yes' if a[0] <= a[2] <= a[1] else 'No')\", \"A,B,C=map(int,input().split())\\nif (C>=A) & (C<=B):\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nif a<=c and c<=b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A,B,C = map(int,input().split())\\nprint(['No','Yes'][C>=A and B>=C])\", \"#\\n# abc061 a\\n#\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"1 3 2\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"Yes\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"6 5 4\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"No\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"2 2 2\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"Yes\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    A, B, C = list(map(int, input().split()))\\n    if A <= C <= B:\\n        print(\\\"Yes\\\")\\n    else:\\n        print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"a, b, c = map(int, input().split())\\nif a <= c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"A,B,C = map(int,input().split())\\n\\nif A <= C <= B:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A, B, C = map(int,input().split())\\n\\nif B >= C >= A:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"A,B,C = list(map(int, input().split()))\\n\\nif C >= A and C <= B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"# \\u5165\\u529b\\nA, B, C = map(int, input().split())\\n\\n# \\u51fa\\u529b\\nif -100 <= A and B and C <= 100:\\n    if C >= A and C <= B:\\n        print('Yes')\\n    else:\\n        print('No')\", \"a,b,c = map(int,input().split())\\nif c >= a and c <= b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b, c = list(map(int, input().split()))\\n\\nif (c >= a) and (c <= b):\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"A, B, C = map(int, input().split())\\nif C >= A and C <= B:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"# \\u5165\\u529b\\nA, B, C =map(int,input().split())\\n\\n# \\u51e6\\u7406\\nif C >=A and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"A, B, C = map(int,input().split())\\nif (C>=A) and (C<=B):\\n  print('Yes')\\nelse:\\n  print('No')\", \"a, b, c = map(int,input().split())\\nprint('Yes') if a <= c <= b else print('No')\\n\", \"S_list = list(map(int,input().split()))\\n\\nif  S_list[1] - S_list[0] >= 0 and S_list[2]- S_list[0] >=0 and S_list[1] - S_list[2] >=0:\\n    result = \\\"Yes\\\"\\nelse:\\n    result = \\\"No\\\"\\nprint(result)\\n\", \"a,b,c = map(int,input().split())\\nprint(\\\"Yes\\\" if c>=a and c<=b else \\\"No\\\")\", \"a,b,c = map(int, input().split())\\nif a <= c and c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b, c = list(map(int, input().split()))\\nif a <= c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"#n = int(input())\\na, b, c = list(map(int, input().split()))\\n#l = list(map(int,input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n\\nif a <= c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a,b,c = map(int,input().split())\\nif a<=c<=b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a = list(map(int,input().split()))\\n# b = list(map(int,input().split()))\\n\\nif a[0]<=a[2]<=a[1]:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import sys, math\\nfrom itertools import combinations as c, product as p\\nfrom collections import deque\\nsys.setrecursionlimit(10**9)\\nINF = float('inf')\\nMOD = 10**9 + 7\\n#MOD = 998244353\\n\\n\\ndef si(): return input()\\ndef ii(): return int(input())\\ndef fi(): return float(input())\\ndef lstr(): return input().split()\\ndef lint(): return list(map(int, input().split()))\\ndef lintdec(): return list(map(lambda x:int(x) - 1, input().split()))\\ndef lnstr(n): return [input() for _ in range(n)]\\ndef lnint(n): return [int(input()) for _ in range(n)]\\ndef lint_list(n): return [lint() for _ in range(n)]\\n\\n\\n\\n############################################################\\nA, B, C = lint()\\nprint('Yes' if A <= C <= B else 'No')\", \"# A - Between Two Integers\\n\\n# \\u6574\\u6570A,B,C\\u304c\\u5165\\u529b\\u3055\\u308c\\u308b\\n# C\\u304cA\\u4ee5\\u4e0a\\u304b\\u3064B\\u4ee5\\u4e0b\\u3067\\u3042\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n\\n\\nA,B,C = list(map(int,input().split()))\\n\\nif A<=C and B>=C:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a, b, c = list(map(int, input().split()))\\n\\nif a <= c and c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b,c=map(int,input().split())\\nif a<=c and c<=b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A, B, C = map(int, input().split())\\nprint(\\\"Yes\\\" if C >= A and C <= B else \\\"No\\\")\", \"def iroha():\\n    a, b, c = list(map(int, input().split()))\\n\\n    if a <= c and b >= c:\\n        print(\\\"Yes\\\")\\n    else:\\n        print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    iroha()\\n\\n\\n__starting_point()\", \"# \\u5165\\u529b\\nA, B, C = map(int, input().split())\\n\\n# C\\u304cA\\u4ee5\\u4e0a\\u304b\\u3064B\\u4ee5\\u4e0b\\u306a\\u3089Yes\\u3001\\u9055\\u3046\\u306a\\u3089No\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b, c = map(int, input().split())\\nif c >= a and c <= b: print('Yes')\\nelse: print('No')\", \"a,b,c = map(int,input().split())\\nprint(\\\"Yes\\\" if a<=c<=b else \\\"No\\\")\", \"a=list(map(int,input().split()))\\n\\nif (a[2]>=a[0]) and (a[2]<=a[1]):\\n  print('Yes')\\n  \\nelse:\\n  print('No')\", \"A, B, C = map(int, open(0).readline().split())\\nprint('Yes' if A <= C <= B else 'No')\", \"a,b,c = map(int, input().split())\\n\\nif b >= c >= a:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"'''\\nabc061 A - Between Two Integers\\nhttps://atcoder.jp/contests/abc061/tasks/abc061_a\\n'''\\n\\ni = list(map(int, input().split()))\\nif i[2] >= i[0] and i[1] >= i[2]:\\n    ans = 'Yes'\\nelse:\\n    ans = 'No'\\nprint(ans)\\n\", \"a, b, c = map(int, input().split())\\n\\nif c>=a and c<=b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a, b, c = map(int, input().split())\\nif c >= a and c <= b:\\n  print('Yes')\\nelse:\\n  print('No')\", \"A, B, C = map(int, input().split())\\n\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c=map(int,input().split())\\nprint(\\\"Yes\\\" if a<=c<=b else \\\"No\\\")\"]",
        "difficulty": "introductory",
        "input": "6 5 4\n",
        "output": "No\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc061/tasks/abc061_a"
    },
    {
        "id": 517,
        "task_id": 4577,
        "test_case_id": 3,
        "question": "You are given three integers A, B and C.\nDetermine whether C is not less than A and not greater than B.\n\n-----Constraints-----\n - -100≤A,B,C≤100 \n - A, B and C are all integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:  \nA B C\n\n-----Output-----\nIf the condition is satisfied, print Yes; otherwise, print No.\n\n-----Sample Input-----\n1 3 2\n\n-----Sample Output-----\nYes\n\nC=2 is not less than A=1 and not greater than B=3, and thus the output should be Yes.",
        "solutions": "[\"# 3 \\u3064\\u306e\\u6574\\u6570 A , B , C \\u304c\\u4e0e\\u3048\\u3089\\u308c\\u307e\\u3059\\u3002\\n# \\u6574\\u6570 C \\u304c A \\u4ee5\\u4e0a \\u304b\\u3064 B \\u4ee5\\u4e0b\\u3067\\u3042\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3057\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nA,B,C = map(int,input().split())\\n\\nif C >= A and C <= B:\\n    print('Yes')\\n\\nelse:\\n    print('No')\", \"A,B,C = map(int,input().split())\\n\\nif A <= C and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"# A - Between Two Integers\\n# https://atcoder.jp/contests/abc061/tasks/abc061_a\\n\\nA, B, C = list(map(int, input().split()))\\n\\nresult = 'No'\\n\\nif A <= C <= B:\\n    result = 'Yes'\\n\\nprint(result)\\n\", \"a,b,c=map(int,input().split(\\\" \\\"))\\nprint(\\\"Yes\\\") if a<=c and c<=b else print(\\\"No\\\")\", \"a, b, c = map( int, input().split())\\n\\nif a <= c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nif a<=c<=b:print('Yes')\\nelse:print('No')\", \"a, b, c = map(int, input().split())\\nif c >= a and c <= b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A, B, C = map(int, input().split())\\n\\nif C >= A and C <= B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nprint(\\\"Yes\\\" if a<=c<=b else \\\"No\\\")\", \"# 3\\u3064\\u306e\\u6574\\u6570 A, B, C \\u304c\\u4e0e\\u3048\\u3089\\u308c\\u307e\\u3059\\u3002\\n# \\u6574\\u6570 C \\u304c A \\u4ee5\\u4e0a \\u304b\\u3064 B \\u4ee5\\u4e0b\\u3067\\u3042\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3057\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\n# \\u5236\\u7d04\\n# \\u2212100 \\u2266 A, B, C \\u2266 100\\n# A, B, C \\u306f\\u5168\\u3066\\u6574\\u6570\\n\\n# \\u6a19\\u6e96\\u5165\\u529b\\u304b\\u3089 A, B, C \\u3092\\u53d6\\u5f97\\u3059\\u308b\\na, b, c = list(map(int, input().split()))\\n\\n# \\u5224\\u5b9a\\u3057\\u3066\\u7d50\\u679c\\u3092\\u51fa\\u529b\\u3059\\u308b\\nresut = \\\"ret\\\"\\n\\nif a <= c and b >= c:\\n    result = \\\"Yes\\\"\\nelse:\\n    result = \\\"No\\\"\\n\\nprint(result)\\n\", \"a,b,c = map(int,input().split())\\nif a <= c and c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"i = list(map(int,input().split()))\\n\\nif i[0]<=i[2]<=i[1]:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b,c=map(int,input().split())\\nif a<=c<=b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nprint(\\\"Yes\\\"if a<=c<=b else \\\"No\\\")\", \"a,b,c = list(map(int,input().split()))\\nprint((\\\"Yes\\\" if a<=c<=b else \\\"No\\\"))\\n\", \"# \\u5404\\u6570\\u5024\\u306e\\u53d6\\u5f97\\nA,B,C = map(int,input().split())\\n\\n# \\u6570\\u5024\\u3092\\u6bd4\\u8f03\\u3057\\u3066\\u30e1\\u30c3\\u30bb\\u30fc\\u30b8\\u3092\\u51fa\\u529b\\nif C >= A \\\\\\nand C <=B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nif a<=c and c<=b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b, c = map(int, input().split())\\n\\nif a <= c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"A, B, C = map(int, input().split())\\n\\nprint(\\\"Yes\\\" if A <= C and C <= B else \\\"No\\\")\", \"a,b,c = map(int,input().split())\\n\\nprint('Yes' if a <= c <= b else 'No')\", \"a,b,c = map(int,input().split())\\nif a <= c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c = map(int,input().split())\\nif a <= c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c = map(int, input().split())\\nans = 'Yes' if c >= a and c <= b else 'No'\\nprint(ans)\", \"# 061_a\\nA, B, C = list(map(int, input().split()))\\nif (-100 <= A <= 100) and (-100 <= B <= 100) and (-100 <= C <= 100):\\n    if A <= C and C <= B:\\n        print('Yes')\\n    else:\\n        print('No')\\n\", \"A,B,C = map(int, input().split())\\n\\nif C >= A and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c = map(int,input().split())\\nprint(\\\"Yes\\\" if a<=c<=b\\n      else \\\"No\\\")\", \"a,b,c = map(int,input().split())\\nprint(\\\"Yes\\\" if a <= c and c <= b else \\\"No\\\")\", \"# 3\\u3064\\u306e\\u6574\\u6570A,B,C\\u3002C\\u304cA\\u4ee5\\u4e0a\\u304b\\u3064B\\u4ee5\\u4e0b\\u304b\\u5224\\u5b9a\\u3002\\n\\nA, B, C = map(int, input().split())\\n\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"A, B, C =map(int,input().split())\\nif C >= A and C <= B:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"#   AtCoder abc061 a\\n#   \\u30b9\\u30c8\\u30ec\\u30c3\\u30c1\\u8ab2\\u984c\\n\\n#   \\u5165\\u529b\\na, b, c = list(map(int, input().split()))\\n\\n#   \\u5224\\u5b9a\\nif (c >= a) and (c <= b):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b,c=map(int,input().split())\\nif c>=a and c<=b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c = list(map(int,input().split()))\\n#lis = list(map(int,input().split()))\\nprint((\\\"Yes\\\" if a<=c<=b else \\\"No\\\"))\\n\\n\\n\\n\\n\", \"A,B,C=list(map(int,input().split()))\\nif C>=A and B>=C:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"a,b,c=map(int,input().split())\\nif (a<=c and c<=b):\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c=map(int,input().split())\\nif (a<=c)and(c<=b):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b,c=map(int,input().split());print('NYoe s'[a<=c<=b::2])\", \"A,B,C=map(int,input().split())\\nif C>=A and C<=B :\\n  print(\\\"Yes\\\")\\nelse :\\n  print(\\\"No\\\")\", \"A, B, C = [int(i) for i in input().split()]\\nif C >= A and C <= B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"A, B, C = map(int, input().split())\\n\\nif A <= C and B >= C:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b, c = map(int, input().split())\\nprint('Yes' if a<=c<=b else 'No')\", \"A,B,C=list(map(int,input().split()))\\nif A<=C and C<=B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a, b, c = map(int, input().split())\\n\\nif a <= c and c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b, c = map(int, input().split())\\nprint('Yes' if a <= c <= b else 'No')\", \"a, b, c=map(int, input().split())\\nif a<=c<=b:\\n  print('Yes')\\nelse:\\n  print('No')\", \"A,B,C = map(int,input().split())\\nprint(\\\"Yes\\\") if A<=C<=B else print(\\\"No\\\")\", \"a,b,c=map(int, input().split())\\nprint(\\\"Yes\\\" if a<=c<=b else \\\"No\\\")\", \"A, B, C = list(map(int, input().split()))\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c = [int(x) for x in input().split()]\\nif a <= c <= b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A, B, C = list(map(int, input().split()))\\n\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a,b,c=map(int,input().split())\\n\\nif c>=a and c<=b:\\n    ans=\\\"Yes\\\"\\nelse:\\n    ans=\\\"No\\\"\\nprint(ans)\", \"A, B, C = map(int, input().split())\\n\\nif (C >= A) and (C <= B):\\n    print( \\\"Yes\\\" )\\nelse :\\n    print( \\\"No\\\" )\", \"A, B, C = map(int,input().split())\\nprint(\\\"Yes\\\" if A <= C <= B else \\\"No\\\")\", \"A,B,C = map(int, input().split())\\nprint('Yes' if A<=C<=B else 'No')\", \"a, b, c = map(int, input().split())\\n\\nif a <= c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c = map(int,input().split())\\n\\nif a<= c and b>=c:\\n    print('Yes')\\nelse:\\n    print('No')\", \"A, B, C = map(int, input().split())\\n\\nif C >= A and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"import sys\\n\\ndef I(): return int(sys.stdin.readline())\\ndef MI(): return map(int, sys.stdin.readline().split())\\ndef LI(): return list(map(int, sys.stdin.readline().split()))\\ndef main():\\n    a, b, c = MI()\\n    if a <= c and c <= b:\\n        print('Yes')\\n    else:\\n        print('No')\\n\\ndef __starting_point():\\n    main()\\n__starting_point()\", \"# 061a\\n\\nA, B, C = list(map(int, input().split()))\\n\\nif C >= A and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a = list(map(int,input().split()))\\n\\nprint('Yes' if a[0] <= a[2] <= a[1] else 'No')\", \"A,B,C=map(int,input().split())\\nif (C>=A) & (C<=B):\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a,b,c=map(int,input().split())\\nif a<=c and c<=b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A,B,C = map(int,input().split())\\nprint(['No','Yes'][C>=A and B>=C])\", \"#\\n# abc061 a\\n#\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"1 3 2\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"Yes\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"6 5 4\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"No\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"2 2 2\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"Yes\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    A, B, C = list(map(int, input().split()))\\n    if A <= C <= B:\\n        print(\\\"Yes\\\")\\n    else:\\n        print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"a, b, c = map(int, input().split())\\nif a <= c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"A,B,C = map(int,input().split())\\n\\nif A <= C <= B:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A, B, C = map(int,input().split())\\n\\nif B >= C >= A:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"A,B,C = list(map(int, input().split()))\\n\\nif C >= A and C <= B:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"# \\u5165\\u529b\\nA, B, C = map(int, input().split())\\n\\n# \\u51fa\\u529b\\nif -100 <= A and B and C <= 100:\\n    if C >= A and C <= B:\\n        print('Yes')\\n    else:\\n        print('No')\", \"a,b,c = map(int,input().split())\\nif c >= a and c <= b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b, c = list(map(int, input().split()))\\n\\nif (c >= a) and (c <= b):\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"A, B, C = map(int, input().split())\\nif C >= A and C <= B:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"# \\u5165\\u529b\\nA, B, C =map(int,input().split())\\n\\n# \\u51e6\\u7406\\nif C >=A and C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"A, B, C = map(int,input().split())\\nif (C>=A) and (C<=B):\\n  print('Yes')\\nelse:\\n  print('No')\", \"a, b, c = map(int,input().split())\\nprint('Yes') if a <= c <= b else print('No')\\n\", \"S_list = list(map(int,input().split()))\\n\\nif  S_list[1] - S_list[0] >= 0 and S_list[2]- S_list[0] >=0 and S_list[1] - S_list[2] >=0:\\n    result = \\\"Yes\\\"\\nelse:\\n    result = \\\"No\\\"\\nprint(result)\\n\", \"a,b,c = map(int,input().split())\\nprint(\\\"Yes\\\" if c>=a and c<=b else \\\"No\\\")\", \"a,b,c = map(int, input().split())\\nif a <= c and c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b, c = list(map(int, input().split()))\\nif a <= c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"#n = int(input())\\na, b, c = list(map(int, input().split()))\\n#l = list(map(int,input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n\\nif a <= c <= b:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a,b,c = map(int,input().split())\\nif a<=c<=b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a = list(map(int,input().split()))\\n# b = list(map(int,input().split()))\\n\\nif a[0]<=a[2]<=a[1]:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"import sys, math\\nfrom itertools import combinations as c, product as p\\nfrom collections import deque\\nsys.setrecursionlimit(10**9)\\nINF = float('inf')\\nMOD = 10**9 + 7\\n#MOD = 998244353\\n\\n\\ndef si(): return input()\\ndef ii(): return int(input())\\ndef fi(): return float(input())\\ndef lstr(): return input().split()\\ndef lint(): return list(map(int, input().split()))\\ndef lintdec(): return list(map(lambda x:int(x) - 1, input().split()))\\ndef lnstr(n): return [input() for _ in range(n)]\\ndef lnint(n): return [int(input()) for _ in range(n)]\\ndef lint_list(n): return [lint() for _ in range(n)]\\n\\n\\n\\n############################################################\\nA, B, C = lint()\\nprint('Yes' if A <= C <= B else 'No')\", \"# A - Between Two Integers\\n\\n# \\u6574\\u6570A,B,C\\u304c\\u5165\\u529b\\u3055\\u308c\\u308b\\n# C\\u304cA\\u4ee5\\u4e0a\\u304b\\u3064B\\u4ee5\\u4e0b\\u3067\\u3042\\u308b\\u304b\\u3092\\u5224\\u5b9a\\u3059\\u308b\\n\\n\\nA,B,C = list(map(int,input().split()))\\n\\nif A<=C and B>=C:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a, b, c = list(map(int, input().split()))\\n\\nif a <= c and c <= b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a,b,c=map(int,input().split())\\nif a<=c and c<=b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"A, B, C = map(int, input().split())\\nprint(\\\"Yes\\\" if C >= A and C <= B else \\\"No\\\")\", \"def iroha():\\n    a, b, c = list(map(int, input().split()))\\n\\n    if a <= c and b >= c:\\n        print(\\\"Yes\\\")\\n    else:\\n        print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    iroha()\\n\\n\\n__starting_point()\", \"# \\u5165\\u529b\\nA, B, C = map(int, input().split())\\n\\n# C\\u304cA\\u4ee5\\u4e0a\\u304b\\u3064B\\u4ee5\\u4e0b\\u306a\\u3089Yes\\u3001\\u9055\\u3046\\u306a\\u3089No\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b, c = map(int, input().split())\\nif c >= a and c <= b: print('Yes')\\nelse: print('No')\", \"a,b,c = map(int,input().split())\\nprint(\\\"Yes\\\" if a<=c<=b else \\\"No\\\")\", \"a=list(map(int,input().split()))\\n\\nif (a[2]>=a[0]) and (a[2]<=a[1]):\\n  print('Yes')\\n  \\nelse:\\n  print('No')\", \"A, B, C = map(int, open(0).readline().split())\\nprint('Yes' if A <= C <= B else 'No')\", \"a,b,c = map(int, input().split())\\n\\nif b >= c >= a:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"'''\\nabc061 A - Between Two Integers\\nhttps://atcoder.jp/contests/abc061/tasks/abc061_a\\n'''\\n\\ni = list(map(int, input().split()))\\nif i[2] >= i[0] and i[1] >= i[2]:\\n    ans = 'Yes'\\nelse:\\n    ans = 'No'\\nprint(ans)\\n\", \"a, b, c = map(int, input().split())\\n\\nif c>=a and c<=b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a, b, c = map(int, input().split())\\nif c >= a and c <= b:\\n  print('Yes')\\nelse:\\n  print('No')\", \"A, B, C = map(int, input().split())\\n\\nif A <= C <= B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"a,b,c=map(int,input().split())\\nprint(\\\"Yes\\\" if a<=c<=b else \\\"No\\\")\"]",
        "difficulty": "introductory",
        "input": "2 2 2\n",
        "output": "Yes\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc061/tasks/abc061_a"
    },
    {
        "id": 518,
        "task_id": 4614,
        "test_case_id": 1,
        "question": "You are given three integers, A, B and C.\n\nAmong them, two are the same, but the remaining one is different from the rest.\n\nFor example, when A=5,B=7,C=5, A and C are the same, but B is different.\n\nFind the one that is different from the rest among the given three integers.  \n\n-----Constraints-----\n - -100 \\leq A,B,C \\leq 100 \n - A, B and C are integers.\n - The input satisfies the condition in the statement.\n\n-----Input-----\nInput is given from Standard Input in the following format:  \nA B C\n\n-----Output-----\nAmong A, B and C, print the integer that is different from the rest.\n\n-----Sample Input-----\n5 7 5\n\n-----Sample Output-----\n7\n\nThis is the same case as the one in the statement.",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,string\\nimport sys\\ndef I():\\n    #1 line 1 int\\n     return int(sys.stdin.readline().rstrip())\\ndef LI():\\n    #1 line n int\\n     return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S():\\n    #1 line 1 string\\n     return sys.stdin.readline().rstrip()\\ndef LS():\\n    #1 line n strings\\n     return list(sys.stdin.readline().rstrip().split())\\n\\n\\nxs=LI()\\n\\nif xs[0] == xs[1]:\\n    print(xs[2])\\nelif xs[0] == xs[2]:\\n    print(xs[1])\\nelse:\\n    print(xs[0])\", \"A, B, C = map(int,input().split())\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"a = input().split(' ')\\n\\nfor i in a:\\n    if (a.count(i)==1):\\n        print(i)\", \"a, b, c = map(int, input().split())\\n\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"#\\n# abc075 a\\n#\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"5 7 5\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"7\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"1 1 7\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"7\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"-100 100 100\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"-100\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    A, B, C = list(map(int, input().split()))\\n\\n    if A == B:\\n        print(C)\\n    elif A == C:\\n        print(B)\\n    else:\\n        print(A)\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"#75\\na,b,c=map(int,input().split())\\nif a==b:\\n    print(c)\\nelif a==c:\\n    print(b)\\nelse:\\n    print(a)\", \"a, b, c = input().split()\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"a,b,c=map(int, input().split())\\nprint(a if b==c else b if c==a else c)\", \"a=list(map(int,input().split()))\\nb=set(a)\\n\\nfor i in b:\\n  if (a.count(i))==1:\\n    print(i)\", \"# 3\\u3064\\u306e\\u6574\\u6570\\u306e\\u3046\\u30611\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u5024\\u3092\\u51fa\\u529b\\nA, B, C = map(int,input().split())\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"import collections\\nl=list(map(int,input().split()))\\ncounted = collections.Counter(l)\\nprint(counted.most_common()[1][0])\", \"l=list(map(int,input().split()))\\nfrom collections import Counter\\nl=list(Counter(l).most_common())\\nprint(l[1][0])\", \"a,b,c = input().split()\\nif a == b:\\n    print(c)\\nelif a == c:\\n    print(b)\\nelif b == c:\\n    print(a)\", \"A,B,C=map(int,input().split())\\nif A==B :\\n  print(C)\\nelif B==C :\\n  print(A)\\nelse :\\n  print(B)\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif b==c:\\n  print(a)\\nelse:\\n  print(b)\", \"a,b,c = map(int,input().split())\\n\\nif a == b:\\n  print(c)\\n  \\nelif a == c:\\n  print(b)\\n  \\nelse:\\n  print(a)\", \"A, B, C = [int(i) for i in input().split()]\\n\\nif A == B:\\n  print(C)\\nelif A == C:\\n  print(B)\\nelif B == C:\\n  print(A)\\n\", \"a,b,c = map(int,input().split())\\nprint(a if b==c else b if a==c else c)\", \"a, b, c = map(int, input().split())\\nprint(a ^ b ^ c)\", \"A,B,C = map(int,input().split())\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"a, b, c = list(map(int, input().split()))\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\\n\", \"a,b,c = map(int, input().split())\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"A,B,C = map(int,input().split())\\n\\nprint(A if B == C else B if A == C else C)\", \"A, B, C = sorted(map(int, input().split()))\\n\\nprint((A if B == C else C))\\n\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"A, B, C = list(map(int, input().split()))\\n\\nif A - B == 0:\\n    print(C)\\nelif A - C == 0:\\n    print(B)\\nelse:\\n    print(A)\\n\", \"a, b, c = map(int, input().split())\\nif a == b: print(c)\\nif b == c: print(a)\\nif c == a: print(b)\", \"A, B, C = map(int, input().split())\\n\\nif A == C:\\n    print(B)\\nelif B == C:\\n    print(A)\\nelse:\\n    print(C)\", \"a,b,c = map(int,input().split())\\nif a != b and a == c:\\n    print(b)\\nelif a != b and a != c:\\n    print(a)\\nelse:\\n    print(c)\", \"def main():\\n  a = list(map(int,input().split()))\\n  if a[0] == a[1]:\\n    print((a[2]))\\n  elif a[1] == a[2]:\\n    print((a[0]))\\n  else:\\n    print((a[1]))\\n    \\ndef __starting_point():\\n  main()\\n\\n__starting_point()\", \"integer1, integer2, integer3 = map(int, input().split())\\nif integer2 == integer3:\\n    print(integer1)\\nelif integer1 == integer3:\\n    print(integer2)\\nelse:\\n    print(integer3)\", \"a,b,c=map(int,input().split())\\n\\nprint(c) if a == b else print(b) if a == c else print(a)\", \"# A - One out of Three\\n# https://atcoder.jp/contests/abc075/tasks/abc075_a\\n\\nA, B, C = list(map(int, input().split()))\\n\\nif A == B and A != C:\\n    print(C)\\nelif A == C and A != B:\\n    print(B)\\nelif B == C and A != C:\\n    print(A)\\n\", \"A,B,C = map(int, input().split())\\nif A == C:\\n   print(B)\\nelif A == B:\\n    print(C)\\nelse:\\n    print(A)\", \"# \\u5165\\u529b\\nA, B, C = map(int, input().split())\\n\\n# \\u6bd4\\u8f03\\u3057\\u3066\\u51fa\\u529b\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelif B == C:\\n    print(A)\", \"# \\u5165\\u529b\\nA, B, C = map(int,input().split())\\n\\n# \\u51e6\\u7406\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"a,b,c= map(int,input().split())\\nprint(a^b^c)\", \"x,y,z=map(int,input().split())\\nprint(z if x == y else y if x == z else x)\", \"a,b,c = map(int,input().split())\\n\\nif a == c:\\n\\tprint(b)\\nelif a == b:\\n\\tprint(c)\\nelif b == c:\\n\\tprint(a)\", \"a,b,c = map(int,input().split())\\nif a == b:\\n    print(c)\\nif a == c:\\n    print(b)\\nif b == c:\\n    print(a)\", \"ls = list(map(int,input().split()))\\nif ls[1] != ls[2] and ls[2] == ls[0]:\\n  print((ls[1]))\\nif ls[0] != ls[1] and ls[1] == ls[2]:\\n  print((ls[0]))\\nif ls[2] != ls[1] and ls[1] == ls[0]:\\n  print((ls[2]))\\n\", \"a, b, c = list(map(int, input().split()))\\n\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\\n\", \"a = [int(x) for x in input().split()]\\nif a[0] == a[1]:\\n  print(a[2])\\nelif a[1] == a[2]:\\n  print(a[0])\\nelse:\\n  print(a[1])\", \"a,b,c = map(int,input().split())\\nif a==b:\\n    print(c)\\nelif a==c:\\n    print(b)\\nelse:\\n    print(a)\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n  print(C)\\nelif B == C:\\n  print(A)\\nelse:\\n  print(B)\", \"a,b,c=list(map(int,input().split()))\\nif a==b & b != c:\\n    print(c)\\nelif a==c & c !=b:\\n    print(b)\\nelse:\\n    print(a)\\n\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif B == C:\\n    print(A)\\nelif C == A:\\n    print(B)\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"a, b, c = map(int, input().split())\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"a,b,c = map(int, input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"import sys, collections\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = 10**20\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef S(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LS(): return input().split()\\n\\ndef resolve():\\n    ABC = LI()\\n\\n    cnt = collections.Counter(ABC)\\n    ans = [k for k, v in list(cnt.items()) if v == 1]\\n    print((ans[0]))\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"# 3 \\u3064\\u306e\\u6574\\u6570 A, B, C\\u304c\\u4e0e\\u3048\\u3089\\u308c\\u307e\\u3059\\u3002\\n# A, B, C \\u306e\\u3046\\u3061 2\\u3064\\u306f \\u540c\\u3058\\u6574\\u6570\\u3067\\u3042\\u308a\\u3001\\n# \\u6b8b\\u308a\\u306e 1\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3067\\u3059\\u3002\\n# \\u4f8b\\u3048\\u3070\\u3001A = 5, B = 7, C = 5\\u306e\\u5834\\u5408\\u3001\\n# A, C \\u306e 2\\u3064\\u306f\\u540c\\u3058\\u6574\\u6570\\u3067\\u3042\\u308a\\u3001\\n# B \\u306f 1\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3067\\u3059\\u3002\\n# 3\\u3064\\u306e\\u6574\\u6570\\u306e\\u3046\\u3061\\u30011\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\n# \\u5236\\u7d04\\n# -100 \\u2266 A, B, C \\u2266 100\\n# A, B, C \\u306f\\u6574\\u6570\\n# \\u5165\\u529b\\u306f\\u554f\\u984c\\u6587\\u306e\\u6761\\u4ef6\\u3092\\u6e80\\u305f\\u3059\\n\\n# \\u6a19\\u6e96\\u5165\\u529b\\u304b\\u3089 A, B, C \\u306e\\u5024\\u3092\\u53d6\\u5f97\\u3059\\u308b\\na, b, c = list(map(int, input().split()))\\n\\n# \\u7570\\u306a\\u308b\\u6574\\u6570\\u3092\\u63a2\\u3057\\u3066\\u51fa\\u529b\\u3059\\u308b\\nresult = 0\\n\\nif a == b:\\n    result = c\\nelif b == c:\\n    result = a\\nelif a == c:\\n    result = b\\nelse:\\n    result = \\\"Error\\\"\\n\\nprint(result)\\n\", \"a, b, c = map(int, input().split())\\nif a == b:\\n  print(c)\\nelif b == c:\\n  print(a)\\nelse:\\n  print(b)\", \"a,b,c = input().split()\\n\\nif(a==b):\\n    print(c)\\nelif(a == c):\\n    print(b)\\nelse:\\n    print(a)\", \"from collections import Counter\\n\\nABC = list(map(int, input().split()))\\n\\ncnt = Counter(ABC)\\nvalues, counts = zip(*cnt.most_common(2))\\n\\nprint(values[1])\", \"num = list(map(int, input().split()))\\nnum = sorted(num)\\nprint((num[0] if num[0] != num[1] else num[2]))\\n\", \"a,b,c = map(int,input().split())\\nif a==b:\\n    print(c)\\nelif b==c:\\n    print(a)\\nelse:\\n    print(b)\", \"a,b,c = map(int,input().split())\\nif a == c:\\n  print(b)\\nelif a == b:\\n  print(c)\\nelse:\\n  print(a)\", \"def mapt(fn, *args):\\n    return tuple(map(fn, *args))\\n\\n\\ndef Input():\\n    return mapt(int, input().split(\\\" \\\"))\\n\\n\\ndef main():\\n    abc = sorted(Input())\\n    if abc[0] == abc[1]:\\n        print(abc[2])\\n    else:\\n        print(abc[0])\\n\\n\\nmain()\", \"a,b,c=input().split()\\nif a==b:\\n    print(c)\\nelif a==c:\\n    print(b)\\nelse:\\n    print(a)\", \"# A - One out of Three\\n\\n# \\u5165\\u529b\\u3055\\u308c\\u305f\\u6574\\u6570A,B,C\\u306e\\u3046\\u3061\\u30012\\u3064\\u306f\\u7b49\\u3057\\u304f1\\u3064\\u306f\\u7570\\u306a\\u308b\\n# 1\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u306e\\u5024\\u3092\\u51fa\\u529b\\u3059\\u308b\\n\\n\\nA,B,C = list(map(int,input().split()))\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelif B == C:\\n    print(A)\\n\", \"a, b, c = list(map(int, input().split()))\\n\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\\n\", \"a, b, c =map(int, input().split())\\n\\n\\nif a==b:\\n    print(c)\\nelif b ==c:\\n    print(a)\\nelse:\\n    print(b)\", \"# 3 \\u3064\\u306e\\u6574\\u6570 A , B , C \\u304c\\u4e0e\\u3048\\u3089\\u308c\\u307e\\u3059\\u3002 A , B , C \\u306e\\u3046\\u3061 2 \\u3064\\u306f \\u540c\\u3058\\u6574\\u6570\\u3067\\u3042\\u308a\\u3001\\u6b8b\\u308a\\u306e 1 \\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3067\\u3059\\u3002\\n# \\u4f8b\\u3048\\u3070\\u3001 A = 5 , B = 7 , C = 5 \\u306e\\u5834\\u5408\\u3001 A , C \\u306e 2 \\u3064\\u306f\\u540c\\u3058\\u6574\\u6570\\u3067\\u3042\\u308a\\u3001 B \\u306f 1 \\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3067\\u3059\\u3002\\n# 3 \\u3064\\u306e\\u6574\\u6570\\u306e\\u3046\\u3061\\u3001 1 \\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nA,B,C =map(int,input().split())\\n\\nif A == B:\\n    print(C)\\n\\nelif A == C:\\n    print(B)\\n\\nelif B == C:\\n    print(A)\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif B == C:\\n    print(A)\\nelif C == A:\\n    print(B)\", \"a,b,c = map(int,input().split())\\n\\nif a == b:\\n  print(c)\\nelif a == c:\\n  print(b)\\nelse:\\n  print(a)\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"A,B,C=list(map(int,input().split()))\\nif A==B:\\n    print(C)\\nelif B==C:\\n    print(A)\\nelse:\\n    print(B)\\n\", \"#!/usr/bin/env python3\\n\\nA, B, C = list(map(int, input().split()))\\nif A == B: print(C)\\nelif A == C: print(B)\\nelse: print(A)\\n\", \"a, b, c = list(map(int, input().split()))\\n\\nprint((a ^ b ^ c))\\n\", \"A, B, C = map(int, input().split())\\nprint(A if B == C else B if A == C else C)\", \"a, b, c = map(int,input().split())\\n\\nif int(a) == int(b):\\n  print(c)\\nif int(a) == int(c):\\n  print(b)\\nif int(b) == int(c):\\n  print(a)\", \"a, b, c = map(int, input().split())\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby, product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil,pi,factorial\\n    from operator import itemgetter\\n    def I(): return int(input())\\n    def MI(): return list(map(int, input().split()))\\n    def LI(): return list(map(int, input().split()))\\n    def LI2(): return [int(input()) for i in range(n)]\\n    def MXI(): return [[LI()]for i in range(n)]\\n    def SI(): return input().rstrip()\\n    def printns(x): print(('\\\\n'.join(x)))\\n    def printni(x): print(('\\\\n'.join(list(map(str,x)))))\\n    inf = 10**17\\n    mod = 10**9 + 7\\n#main code here!\\n    a,b,c=MI()\\n    if a==b:\\n        print(c)\\n    elif b==c:\\n        print(a)\\n    else:\\n        print(b)\\n        \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"lst = input().split()\\n\\nfor i in range(3):\\n   if lst.count(lst[i]) == 1:\\n      print(lst[i])\\n      break\", \"a, b, c = map(int, input().split())\\nif a == b:\\n  print(c)\\nelif b == c:\\n  print(a)\\nelse:\\n  print(b)\", \"A,B,C=list(map(int,input().split()))\\nif A==B:\\n  print(C)\\nelif A==C:\\n  print(B)\\nelif B==C:\\n  print(A)\\n\", \"a,b,c = list(map(int,input().split()))\\n\\nif a == b:\\n    print(c)\\nelif a == c:\\n    print(b) \\nelse:\\n    print(a)\\n\", \"A, B, C = map(int, input().split())\\nprint(A ^ B ^ C)\", \"l=sorted(map(int,input().split()))\\nprint(sum(l)-l[1]*2)\", \"#   AtCoder abc075 a\\n#   \\u30b9\\u30c8\\u30ec\\u30c3\\u30c1\\u8ab2\\u984c\\n\\n#   \\u5165\\u529b\\na, b, c =list(map(int, input().split()))\\n\\n#   \\u5224\\u5b9a\\nif a == b:\\n    print(c)\\nelif a == c:\\n    print(b)\\nelse:\\n    print(a)\\n\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif B == C:\\n    print(A)\\nelif A == C:\\n    print(B)\", \"A,B,C = list(map(int,input().split()))\\nif A==B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelif B == C:\\n    print(A)\\n\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif B == C:\\n    print(A)\\nelse:\\n    print(B)\", \"a,b,c = sorted(map(int,input().split()))\\nprint( c if a == b else a)\", \"a,b,c=map(int,input().split())\\nif a==c:\\n    print(b)\\nelif a==b:\\n    print(c)\\nelse:\\n    print(a)\", \"l = list(map(int, input().split()))\\nfor ll in l:\\n    if l.count(ll)==1:\\n        print(ll)\\n        break\", \"def iroha():\\n    a,b,c = list(map(int, input().split()))\\n    if a == b:\\n        print(c)\\n    elif a == c:\\n        print(b)\\n    else:\\n        print(a)\\n\\n\\n\\ndef __starting_point():\\n    iroha()\\n\\n\\n__starting_point()\", \"a,b,c=list(map(int,input().split()))\\n\\nif a==b:\\n    ans=c\\nelif b==c:\\n    ans=a\\nelse:\\n    ans=b\\nprint(ans)\\n\", \"a, b, c = map(int, input().split())\\nif a == b:\\n    print(c)\\nelif c == b:\\n    print(a)\\nelse:\\n    print(b)\", \"# 075_a\\nA,B,C=list(map(int,input().split()))\\nif (-100<=A and A<=100) and (-100<=B and B<=100) and (-100<=C and C<=100):\\n    if A==B:\\n        print(C)\\n    elif B==C:\\n        print(A)\\n    elif C==A:\\n        print(B)\\n\", \"s=list(map(int,input().split()))\\ni=set(s)\\nprint(sum(i)-(sum(s)-sum(i)))\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"a, b, c = map(int, input().split())\\n\\nif a == b:\\n    print(c)\\nelif a == c:\\n    print(b)\\nelse:\\n    print(a)\", \"a,b,c=map(int,input().split())\\nprint(a if b==c else b if a==c else c)\", \"a=list(map(int,input().split()))\\na.sort()\\n\\nif a[0]==a[1]:\\n  print(a[2])\\nelse:\\n  print(a[0])\", \"a, b, c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif c==b:\\n  print(a)\\nelse:\\n  print(b)\"]",
        "difficulty": "introductory",
        "input": "5 7 5\n",
        "output": "7\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc075/tasks/abc075_a"
    },
    {
        "id": 519,
        "task_id": 4614,
        "test_case_id": 2,
        "question": "You are given three integers, A, B and C.\n\nAmong them, two are the same, but the remaining one is different from the rest.\n\nFor example, when A=5,B=7,C=5, A and C are the same, but B is different.\n\nFind the one that is different from the rest among the given three integers.  \n\n-----Constraints-----\n - -100 \\leq A,B,C \\leq 100 \n - A, B and C are integers.\n - The input satisfies the condition in the statement.\n\n-----Input-----\nInput is given from Standard Input in the following format:  \nA B C\n\n-----Output-----\nAmong A, B and C, print the integer that is different from the rest.\n\n-----Sample Input-----\n5 7 5\n\n-----Sample Output-----\n7\n\nThis is the same case as the one in the statement.",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,string\\nimport sys\\ndef I():\\n    #1 line 1 int\\n     return int(sys.stdin.readline().rstrip())\\ndef LI():\\n    #1 line n int\\n     return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S():\\n    #1 line 1 string\\n     return sys.stdin.readline().rstrip()\\ndef LS():\\n    #1 line n strings\\n     return list(sys.stdin.readline().rstrip().split())\\n\\n\\nxs=LI()\\n\\nif xs[0] == xs[1]:\\n    print(xs[2])\\nelif xs[0] == xs[2]:\\n    print(xs[1])\\nelse:\\n    print(xs[0])\", \"A, B, C = map(int,input().split())\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"a = input().split(' ')\\n\\nfor i in a:\\n    if (a.count(i)==1):\\n        print(i)\", \"a, b, c = map(int, input().split())\\n\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"#\\n# abc075 a\\n#\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"5 7 5\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"7\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"1 1 7\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"7\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"-100 100 100\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"-100\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    A, B, C = list(map(int, input().split()))\\n\\n    if A == B:\\n        print(C)\\n    elif A == C:\\n        print(B)\\n    else:\\n        print(A)\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"#75\\na,b,c=map(int,input().split())\\nif a==b:\\n    print(c)\\nelif a==c:\\n    print(b)\\nelse:\\n    print(a)\", \"a, b, c = input().split()\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"a,b,c=map(int, input().split())\\nprint(a if b==c else b if c==a else c)\", \"a=list(map(int,input().split()))\\nb=set(a)\\n\\nfor i in b:\\n  if (a.count(i))==1:\\n    print(i)\", \"# 3\\u3064\\u306e\\u6574\\u6570\\u306e\\u3046\\u30611\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u5024\\u3092\\u51fa\\u529b\\nA, B, C = map(int,input().split())\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"import collections\\nl=list(map(int,input().split()))\\ncounted = collections.Counter(l)\\nprint(counted.most_common()[1][0])\", \"l=list(map(int,input().split()))\\nfrom collections import Counter\\nl=list(Counter(l).most_common())\\nprint(l[1][0])\", \"a,b,c = input().split()\\nif a == b:\\n    print(c)\\nelif a == c:\\n    print(b)\\nelif b == c:\\n    print(a)\", \"A,B,C=map(int,input().split())\\nif A==B :\\n  print(C)\\nelif B==C :\\n  print(A)\\nelse :\\n  print(B)\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif b==c:\\n  print(a)\\nelse:\\n  print(b)\", \"a,b,c = map(int,input().split())\\n\\nif a == b:\\n  print(c)\\n  \\nelif a == c:\\n  print(b)\\n  \\nelse:\\n  print(a)\", \"A, B, C = [int(i) for i in input().split()]\\n\\nif A == B:\\n  print(C)\\nelif A == C:\\n  print(B)\\nelif B == C:\\n  print(A)\\n\", \"a,b,c = map(int,input().split())\\nprint(a if b==c else b if a==c else c)\", \"a, b, c = map(int, input().split())\\nprint(a ^ b ^ c)\", \"A,B,C = map(int,input().split())\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"a, b, c = list(map(int, input().split()))\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\\n\", \"a,b,c = map(int, input().split())\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"A,B,C = map(int,input().split())\\n\\nprint(A if B == C else B if A == C else C)\", \"A, B, C = sorted(map(int, input().split()))\\n\\nprint((A if B == C else C))\\n\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"A, B, C = list(map(int, input().split()))\\n\\nif A - B == 0:\\n    print(C)\\nelif A - C == 0:\\n    print(B)\\nelse:\\n    print(A)\\n\", \"a, b, c = map(int, input().split())\\nif a == b: print(c)\\nif b == c: print(a)\\nif c == a: print(b)\", \"A, B, C = map(int, input().split())\\n\\nif A == C:\\n    print(B)\\nelif B == C:\\n    print(A)\\nelse:\\n    print(C)\", \"a,b,c = map(int,input().split())\\nif a != b and a == c:\\n    print(b)\\nelif a != b and a != c:\\n    print(a)\\nelse:\\n    print(c)\", \"def main():\\n  a = list(map(int,input().split()))\\n  if a[0] == a[1]:\\n    print((a[2]))\\n  elif a[1] == a[2]:\\n    print((a[0]))\\n  else:\\n    print((a[1]))\\n    \\ndef __starting_point():\\n  main()\\n\\n__starting_point()\", \"integer1, integer2, integer3 = map(int, input().split())\\nif integer2 == integer3:\\n    print(integer1)\\nelif integer1 == integer3:\\n    print(integer2)\\nelse:\\n    print(integer3)\", \"a,b,c=map(int,input().split())\\n\\nprint(c) if a == b else print(b) if a == c else print(a)\", \"# A - One out of Three\\n# https://atcoder.jp/contests/abc075/tasks/abc075_a\\n\\nA, B, C = list(map(int, input().split()))\\n\\nif A == B and A != C:\\n    print(C)\\nelif A == C and A != B:\\n    print(B)\\nelif B == C and A != C:\\n    print(A)\\n\", \"A,B,C = map(int, input().split())\\nif A == C:\\n   print(B)\\nelif A == B:\\n    print(C)\\nelse:\\n    print(A)\", \"# \\u5165\\u529b\\nA, B, C = map(int, input().split())\\n\\n# \\u6bd4\\u8f03\\u3057\\u3066\\u51fa\\u529b\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelif B == C:\\n    print(A)\", \"# \\u5165\\u529b\\nA, B, C = map(int,input().split())\\n\\n# \\u51e6\\u7406\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"a,b,c= map(int,input().split())\\nprint(a^b^c)\", \"x,y,z=map(int,input().split())\\nprint(z if x == y else y if x == z else x)\", \"a,b,c = map(int,input().split())\\n\\nif a == c:\\n\\tprint(b)\\nelif a == b:\\n\\tprint(c)\\nelif b == c:\\n\\tprint(a)\", \"a,b,c = map(int,input().split())\\nif a == b:\\n    print(c)\\nif a == c:\\n    print(b)\\nif b == c:\\n    print(a)\", \"ls = list(map(int,input().split()))\\nif ls[1] != ls[2] and ls[2] == ls[0]:\\n  print((ls[1]))\\nif ls[0] != ls[1] and ls[1] == ls[2]:\\n  print((ls[0]))\\nif ls[2] != ls[1] and ls[1] == ls[0]:\\n  print((ls[2]))\\n\", \"a, b, c = list(map(int, input().split()))\\n\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\\n\", \"a = [int(x) for x in input().split()]\\nif a[0] == a[1]:\\n  print(a[2])\\nelif a[1] == a[2]:\\n  print(a[0])\\nelse:\\n  print(a[1])\", \"a,b,c = map(int,input().split())\\nif a==b:\\n    print(c)\\nelif a==c:\\n    print(b)\\nelse:\\n    print(a)\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n  print(C)\\nelif B == C:\\n  print(A)\\nelse:\\n  print(B)\", \"a,b,c=list(map(int,input().split()))\\nif a==b & b != c:\\n    print(c)\\nelif a==c & c !=b:\\n    print(b)\\nelse:\\n    print(a)\\n\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif B == C:\\n    print(A)\\nelif C == A:\\n    print(B)\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"a, b, c = map(int, input().split())\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"a,b,c = map(int, input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"import sys, collections\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = 10**20\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef S(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LS(): return input().split()\\n\\ndef resolve():\\n    ABC = LI()\\n\\n    cnt = collections.Counter(ABC)\\n    ans = [k for k, v in list(cnt.items()) if v == 1]\\n    print((ans[0]))\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"# 3 \\u3064\\u306e\\u6574\\u6570 A, B, C\\u304c\\u4e0e\\u3048\\u3089\\u308c\\u307e\\u3059\\u3002\\n# A, B, C \\u306e\\u3046\\u3061 2\\u3064\\u306f \\u540c\\u3058\\u6574\\u6570\\u3067\\u3042\\u308a\\u3001\\n# \\u6b8b\\u308a\\u306e 1\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3067\\u3059\\u3002\\n# \\u4f8b\\u3048\\u3070\\u3001A = 5, B = 7, C = 5\\u306e\\u5834\\u5408\\u3001\\n# A, C \\u306e 2\\u3064\\u306f\\u540c\\u3058\\u6574\\u6570\\u3067\\u3042\\u308a\\u3001\\n# B \\u306f 1\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3067\\u3059\\u3002\\n# 3\\u3064\\u306e\\u6574\\u6570\\u306e\\u3046\\u3061\\u30011\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\n# \\u5236\\u7d04\\n# -100 \\u2266 A, B, C \\u2266 100\\n# A, B, C \\u306f\\u6574\\u6570\\n# \\u5165\\u529b\\u306f\\u554f\\u984c\\u6587\\u306e\\u6761\\u4ef6\\u3092\\u6e80\\u305f\\u3059\\n\\n# \\u6a19\\u6e96\\u5165\\u529b\\u304b\\u3089 A, B, C \\u306e\\u5024\\u3092\\u53d6\\u5f97\\u3059\\u308b\\na, b, c = list(map(int, input().split()))\\n\\n# \\u7570\\u306a\\u308b\\u6574\\u6570\\u3092\\u63a2\\u3057\\u3066\\u51fa\\u529b\\u3059\\u308b\\nresult = 0\\n\\nif a == b:\\n    result = c\\nelif b == c:\\n    result = a\\nelif a == c:\\n    result = b\\nelse:\\n    result = \\\"Error\\\"\\n\\nprint(result)\\n\", \"a, b, c = map(int, input().split())\\nif a == b:\\n  print(c)\\nelif b == c:\\n  print(a)\\nelse:\\n  print(b)\", \"a,b,c = input().split()\\n\\nif(a==b):\\n    print(c)\\nelif(a == c):\\n    print(b)\\nelse:\\n    print(a)\", \"from collections import Counter\\n\\nABC = list(map(int, input().split()))\\n\\ncnt = Counter(ABC)\\nvalues, counts = zip(*cnt.most_common(2))\\n\\nprint(values[1])\", \"num = list(map(int, input().split()))\\nnum = sorted(num)\\nprint((num[0] if num[0] != num[1] else num[2]))\\n\", \"a,b,c = map(int,input().split())\\nif a==b:\\n    print(c)\\nelif b==c:\\n    print(a)\\nelse:\\n    print(b)\", \"a,b,c = map(int,input().split())\\nif a == c:\\n  print(b)\\nelif a == b:\\n  print(c)\\nelse:\\n  print(a)\", \"def mapt(fn, *args):\\n    return tuple(map(fn, *args))\\n\\n\\ndef Input():\\n    return mapt(int, input().split(\\\" \\\"))\\n\\n\\ndef main():\\n    abc = sorted(Input())\\n    if abc[0] == abc[1]:\\n        print(abc[2])\\n    else:\\n        print(abc[0])\\n\\n\\nmain()\", \"a,b,c=input().split()\\nif a==b:\\n    print(c)\\nelif a==c:\\n    print(b)\\nelse:\\n    print(a)\", \"# A - One out of Three\\n\\n# \\u5165\\u529b\\u3055\\u308c\\u305f\\u6574\\u6570A,B,C\\u306e\\u3046\\u3061\\u30012\\u3064\\u306f\\u7b49\\u3057\\u304f1\\u3064\\u306f\\u7570\\u306a\\u308b\\n# 1\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u306e\\u5024\\u3092\\u51fa\\u529b\\u3059\\u308b\\n\\n\\nA,B,C = list(map(int,input().split()))\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelif B == C:\\n    print(A)\\n\", \"a, b, c = list(map(int, input().split()))\\n\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\\n\", \"a, b, c =map(int, input().split())\\n\\n\\nif a==b:\\n    print(c)\\nelif b ==c:\\n    print(a)\\nelse:\\n    print(b)\", \"# 3 \\u3064\\u306e\\u6574\\u6570 A , B , C \\u304c\\u4e0e\\u3048\\u3089\\u308c\\u307e\\u3059\\u3002 A , B , C \\u306e\\u3046\\u3061 2 \\u3064\\u306f \\u540c\\u3058\\u6574\\u6570\\u3067\\u3042\\u308a\\u3001\\u6b8b\\u308a\\u306e 1 \\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3067\\u3059\\u3002\\n# \\u4f8b\\u3048\\u3070\\u3001 A = 5 , B = 7 , C = 5 \\u306e\\u5834\\u5408\\u3001 A , C \\u306e 2 \\u3064\\u306f\\u540c\\u3058\\u6574\\u6570\\u3067\\u3042\\u308a\\u3001 B \\u306f 1 \\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3067\\u3059\\u3002\\n# 3 \\u3064\\u306e\\u6574\\u6570\\u306e\\u3046\\u3061\\u3001 1 \\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nA,B,C =map(int,input().split())\\n\\nif A == B:\\n    print(C)\\n\\nelif A == C:\\n    print(B)\\n\\nelif B == C:\\n    print(A)\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif B == C:\\n    print(A)\\nelif C == A:\\n    print(B)\", \"a,b,c = map(int,input().split())\\n\\nif a == b:\\n  print(c)\\nelif a == c:\\n  print(b)\\nelse:\\n  print(a)\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"A,B,C=list(map(int,input().split()))\\nif A==B:\\n    print(C)\\nelif B==C:\\n    print(A)\\nelse:\\n    print(B)\\n\", \"#!/usr/bin/env python3\\n\\nA, B, C = list(map(int, input().split()))\\nif A == B: print(C)\\nelif A == C: print(B)\\nelse: print(A)\\n\", \"a, b, c = list(map(int, input().split()))\\n\\nprint((a ^ b ^ c))\\n\", \"A, B, C = map(int, input().split())\\nprint(A if B == C else B if A == C else C)\", \"a, b, c = map(int,input().split())\\n\\nif int(a) == int(b):\\n  print(c)\\nif int(a) == int(c):\\n  print(b)\\nif int(b) == int(c):\\n  print(a)\", \"a, b, c = map(int, input().split())\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby, product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil,pi,factorial\\n    from operator import itemgetter\\n    def I(): return int(input())\\n    def MI(): return list(map(int, input().split()))\\n    def LI(): return list(map(int, input().split()))\\n    def LI2(): return [int(input()) for i in range(n)]\\n    def MXI(): return [[LI()]for i in range(n)]\\n    def SI(): return input().rstrip()\\n    def printns(x): print(('\\\\n'.join(x)))\\n    def printni(x): print(('\\\\n'.join(list(map(str,x)))))\\n    inf = 10**17\\n    mod = 10**9 + 7\\n#main code here!\\n    a,b,c=MI()\\n    if a==b:\\n        print(c)\\n    elif b==c:\\n        print(a)\\n    else:\\n        print(b)\\n        \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"lst = input().split()\\n\\nfor i in range(3):\\n   if lst.count(lst[i]) == 1:\\n      print(lst[i])\\n      break\", \"a, b, c = map(int, input().split())\\nif a == b:\\n  print(c)\\nelif b == c:\\n  print(a)\\nelse:\\n  print(b)\", \"A,B,C=list(map(int,input().split()))\\nif A==B:\\n  print(C)\\nelif A==C:\\n  print(B)\\nelif B==C:\\n  print(A)\\n\", \"a,b,c = list(map(int,input().split()))\\n\\nif a == b:\\n    print(c)\\nelif a == c:\\n    print(b) \\nelse:\\n    print(a)\\n\", \"A, B, C = map(int, input().split())\\nprint(A ^ B ^ C)\", \"l=sorted(map(int,input().split()))\\nprint(sum(l)-l[1]*2)\", \"#   AtCoder abc075 a\\n#   \\u30b9\\u30c8\\u30ec\\u30c3\\u30c1\\u8ab2\\u984c\\n\\n#   \\u5165\\u529b\\na, b, c =list(map(int, input().split()))\\n\\n#   \\u5224\\u5b9a\\nif a == b:\\n    print(c)\\nelif a == c:\\n    print(b)\\nelse:\\n    print(a)\\n\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif B == C:\\n    print(A)\\nelif A == C:\\n    print(B)\", \"A,B,C = list(map(int,input().split()))\\nif A==B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelif B == C:\\n    print(A)\\n\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif B == C:\\n    print(A)\\nelse:\\n    print(B)\", \"a,b,c = sorted(map(int,input().split()))\\nprint( c if a == b else a)\", \"a,b,c=map(int,input().split())\\nif a==c:\\n    print(b)\\nelif a==b:\\n    print(c)\\nelse:\\n    print(a)\", \"l = list(map(int, input().split()))\\nfor ll in l:\\n    if l.count(ll)==1:\\n        print(ll)\\n        break\", \"def iroha():\\n    a,b,c = list(map(int, input().split()))\\n    if a == b:\\n        print(c)\\n    elif a == c:\\n        print(b)\\n    else:\\n        print(a)\\n\\n\\n\\ndef __starting_point():\\n    iroha()\\n\\n\\n__starting_point()\", \"a,b,c=list(map(int,input().split()))\\n\\nif a==b:\\n    ans=c\\nelif b==c:\\n    ans=a\\nelse:\\n    ans=b\\nprint(ans)\\n\", \"a, b, c = map(int, input().split())\\nif a == b:\\n    print(c)\\nelif c == b:\\n    print(a)\\nelse:\\n    print(b)\", \"# 075_a\\nA,B,C=list(map(int,input().split()))\\nif (-100<=A and A<=100) and (-100<=B and B<=100) and (-100<=C and C<=100):\\n    if A==B:\\n        print(C)\\n    elif B==C:\\n        print(A)\\n    elif C==A:\\n        print(B)\\n\", \"s=list(map(int,input().split()))\\ni=set(s)\\nprint(sum(i)-(sum(s)-sum(i)))\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"a, b, c = map(int, input().split())\\n\\nif a == b:\\n    print(c)\\nelif a == c:\\n    print(b)\\nelse:\\n    print(a)\", \"a,b,c=map(int,input().split())\\nprint(a if b==c else b if a==c else c)\", \"a=list(map(int,input().split()))\\na.sort()\\n\\nif a[0]==a[1]:\\n  print(a[2])\\nelse:\\n  print(a[0])\", \"a, b, c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif c==b:\\n  print(a)\\nelse:\\n  print(b)\"]",
        "difficulty": "introductory",
        "input": "1 1 7\n",
        "output": "7\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc075/tasks/abc075_a"
    },
    {
        "id": 520,
        "task_id": 4614,
        "test_case_id": 3,
        "question": "You are given three integers, A, B and C.\n\nAmong them, two are the same, but the remaining one is different from the rest.\n\nFor example, when A=5,B=7,C=5, A and C are the same, but B is different.\n\nFind the one that is different from the rest among the given three integers.  \n\n-----Constraints-----\n - -100 \\leq A,B,C \\leq 100 \n - A, B and C are integers.\n - The input satisfies the condition in the statement.\n\n-----Input-----\nInput is given from Standard Input in the following format:  \nA B C\n\n-----Output-----\nAmong A, B and C, print the integer that is different from the rest.\n\n-----Sample Input-----\n5 7 5\n\n-----Sample Output-----\n7\n\nThis is the same case as the one in the statement.",
        "solutions": "[\"import bisect,collections,copy,heapq,itertools,math,string\\nimport sys\\ndef I():\\n    #1 line 1 int\\n     return int(sys.stdin.readline().rstrip())\\ndef LI():\\n    #1 line n int\\n     return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S():\\n    #1 line 1 string\\n     return sys.stdin.readline().rstrip()\\ndef LS():\\n    #1 line n strings\\n     return list(sys.stdin.readline().rstrip().split())\\n\\n\\nxs=LI()\\n\\nif xs[0] == xs[1]:\\n    print(xs[2])\\nelif xs[0] == xs[2]:\\n    print(xs[1])\\nelse:\\n    print(xs[0])\", \"A, B, C = map(int,input().split())\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"a = input().split(' ')\\n\\nfor i in a:\\n    if (a.count(i)==1):\\n        print(i)\", \"a, b, c = map(int, input().split())\\n\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"#\\n# abc075 a\\n#\\nimport sys\\nfrom io import StringIO\\nimport unittest\\n\\n\\nclass TestClass(unittest.TestCase):\\n    def assertIO(self, input, output):\\n        stdout, stdin = sys.stdout, sys.stdin\\n        sys.stdout, sys.stdin = StringIO(), StringIO(input)\\n        resolve()\\n        sys.stdout.seek(0)\\n        out = sys.stdout.read()[:-1]\\n        sys.stdout, sys.stdin = stdout, stdin\\n        self.assertEqual(out, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_1(self):\\n        input = \\\"\\\"\\\"5 7 5\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"7\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_2(self):\\n        input = \\\"\\\"\\\"1 1 7\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"7\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n    def test_\\u5165\\u529b\\u4f8b_3(self):\\n        input = \\\"\\\"\\\"-100 100 100\\\"\\\"\\\"\\n        output = \\\"\\\"\\\"-100\\\"\\\"\\\"\\n        self.assertIO(input, output)\\n\\n\\ndef resolve():\\n    A, B, C = list(map(int, input().split()))\\n\\n    if A == B:\\n        print(C)\\n    elif A == C:\\n        print(B)\\n    else:\\n        print(A)\\n\\n\\ndef __starting_point():\\n    # unittest.main()\\n    resolve()\\n\\n__starting_point()\", \"#75\\na,b,c=map(int,input().split())\\nif a==b:\\n    print(c)\\nelif a==c:\\n    print(b)\\nelse:\\n    print(a)\", \"a, b, c = input().split()\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"a,b,c=map(int, input().split())\\nprint(a if b==c else b if c==a else c)\", \"a=list(map(int,input().split()))\\nb=set(a)\\n\\nfor i in b:\\n  if (a.count(i))==1:\\n    print(i)\", \"# 3\\u3064\\u306e\\u6574\\u6570\\u306e\\u3046\\u30611\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u5024\\u3092\\u51fa\\u529b\\nA, B, C = map(int,input().split())\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"import collections\\nl=list(map(int,input().split()))\\ncounted = collections.Counter(l)\\nprint(counted.most_common()[1][0])\", \"l=list(map(int,input().split()))\\nfrom collections import Counter\\nl=list(Counter(l).most_common())\\nprint(l[1][0])\", \"a,b,c = input().split()\\nif a == b:\\n    print(c)\\nelif a == c:\\n    print(b)\\nelif b == c:\\n    print(a)\", \"A,B,C=map(int,input().split())\\nif A==B :\\n  print(C)\\nelif B==C :\\n  print(A)\\nelse :\\n  print(B)\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif b==c:\\n  print(a)\\nelse:\\n  print(b)\", \"a,b,c = map(int,input().split())\\n\\nif a == b:\\n  print(c)\\n  \\nelif a == c:\\n  print(b)\\n  \\nelse:\\n  print(a)\", \"A, B, C = [int(i) for i in input().split()]\\n\\nif A == B:\\n  print(C)\\nelif A == C:\\n  print(B)\\nelif B == C:\\n  print(A)\\n\", \"a,b,c = map(int,input().split())\\nprint(a if b==c else b if a==c else c)\", \"a, b, c = map(int, input().split())\\nprint(a ^ b ^ c)\", \"A,B,C = map(int,input().split())\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"a, b, c = list(map(int, input().split()))\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\\n\", \"a,b,c = map(int, input().split())\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"A,B,C = map(int,input().split())\\n\\nprint(A if B == C else B if A == C else C)\", \"A, B, C = sorted(map(int, input().split()))\\n\\nprint((A if B == C else C))\\n\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"A, B, C = list(map(int, input().split()))\\n\\nif A - B == 0:\\n    print(C)\\nelif A - C == 0:\\n    print(B)\\nelse:\\n    print(A)\\n\", \"a, b, c = map(int, input().split())\\nif a == b: print(c)\\nif b == c: print(a)\\nif c == a: print(b)\", \"A, B, C = map(int, input().split())\\n\\nif A == C:\\n    print(B)\\nelif B == C:\\n    print(A)\\nelse:\\n    print(C)\", \"a,b,c = map(int,input().split())\\nif a != b and a == c:\\n    print(b)\\nelif a != b and a != c:\\n    print(a)\\nelse:\\n    print(c)\", \"def main():\\n  a = list(map(int,input().split()))\\n  if a[0] == a[1]:\\n    print((a[2]))\\n  elif a[1] == a[2]:\\n    print((a[0]))\\n  else:\\n    print((a[1]))\\n    \\ndef __starting_point():\\n  main()\\n\\n__starting_point()\", \"integer1, integer2, integer3 = map(int, input().split())\\nif integer2 == integer3:\\n    print(integer1)\\nelif integer1 == integer3:\\n    print(integer2)\\nelse:\\n    print(integer3)\", \"a,b,c=map(int,input().split())\\n\\nprint(c) if a == b else print(b) if a == c else print(a)\", \"# A - One out of Three\\n# https://atcoder.jp/contests/abc075/tasks/abc075_a\\n\\nA, B, C = list(map(int, input().split()))\\n\\nif A == B and A != C:\\n    print(C)\\nelif A == C and A != B:\\n    print(B)\\nelif B == C and A != C:\\n    print(A)\\n\", \"A,B,C = map(int, input().split())\\nif A == C:\\n   print(B)\\nelif A == B:\\n    print(C)\\nelse:\\n    print(A)\", \"# \\u5165\\u529b\\nA, B, C = map(int, input().split())\\n\\n# \\u6bd4\\u8f03\\u3057\\u3066\\u51fa\\u529b\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelif B == C:\\n    print(A)\", \"# \\u5165\\u529b\\nA, B, C = map(int,input().split())\\n\\n# \\u51e6\\u7406\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"a,b,c= map(int,input().split())\\nprint(a^b^c)\", \"x,y,z=map(int,input().split())\\nprint(z if x == y else y if x == z else x)\", \"a,b,c = map(int,input().split())\\n\\nif a == c:\\n\\tprint(b)\\nelif a == b:\\n\\tprint(c)\\nelif b == c:\\n\\tprint(a)\", \"a,b,c = map(int,input().split())\\nif a == b:\\n    print(c)\\nif a == c:\\n    print(b)\\nif b == c:\\n    print(a)\", \"ls = list(map(int,input().split()))\\nif ls[1] != ls[2] and ls[2] == ls[0]:\\n  print((ls[1]))\\nif ls[0] != ls[1] and ls[1] == ls[2]:\\n  print((ls[0]))\\nif ls[2] != ls[1] and ls[1] == ls[0]:\\n  print((ls[2]))\\n\", \"a, b, c = list(map(int, input().split()))\\n\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\\n\", \"a = [int(x) for x in input().split()]\\nif a[0] == a[1]:\\n  print(a[2])\\nelif a[1] == a[2]:\\n  print(a[0])\\nelse:\\n  print(a[1])\", \"a,b,c = map(int,input().split())\\nif a==b:\\n    print(c)\\nelif a==c:\\n    print(b)\\nelse:\\n    print(a)\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n  print(C)\\nelif B == C:\\n  print(A)\\nelse:\\n  print(B)\", \"a,b,c=list(map(int,input().split()))\\nif a==b & b != c:\\n    print(c)\\nelif a==c & c !=b:\\n    print(b)\\nelse:\\n    print(a)\\n\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif B == C:\\n    print(A)\\nelif C == A:\\n    print(B)\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelse:\\n    print(A)\", \"a, b, c = map(int, input().split())\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"a,b,c = map(int, input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"import sys, collections\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = 10**20\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef S(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LS(): return input().split()\\n\\ndef resolve():\\n    ABC = LI()\\n\\n    cnt = collections.Counter(ABC)\\n    ans = [k for k, v in list(cnt.items()) if v == 1]\\n    print((ans[0]))\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"# 3 \\u3064\\u306e\\u6574\\u6570 A, B, C\\u304c\\u4e0e\\u3048\\u3089\\u308c\\u307e\\u3059\\u3002\\n# A, B, C \\u306e\\u3046\\u3061 2\\u3064\\u306f \\u540c\\u3058\\u6574\\u6570\\u3067\\u3042\\u308a\\u3001\\n# \\u6b8b\\u308a\\u306e 1\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3067\\u3059\\u3002\\n# \\u4f8b\\u3048\\u3070\\u3001A = 5, B = 7, C = 5\\u306e\\u5834\\u5408\\u3001\\n# A, C \\u306e 2\\u3064\\u306f\\u540c\\u3058\\u6574\\u6570\\u3067\\u3042\\u308a\\u3001\\n# B \\u306f 1\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3067\\u3059\\u3002\\n# 3\\u3064\\u306e\\u6574\\u6570\\u306e\\u3046\\u3061\\u30011\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\n# \\u5236\\u7d04\\n# -100 \\u2266 A, B, C \\u2266 100\\n# A, B, C \\u306f\\u6574\\u6570\\n# \\u5165\\u529b\\u306f\\u554f\\u984c\\u6587\\u306e\\u6761\\u4ef6\\u3092\\u6e80\\u305f\\u3059\\n\\n# \\u6a19\\u6e96\\u5165\\u529b\\u304b\\u3089 A, B, C \\u306e\\u5024\\u3092\\u53d6\\u5f97\\u3059\\u308b\\na, b, c = list(map(int, input().split()))\\n\\n# \\u7570\\u306a\\u308b\\u6574\\u6570\\u3092\\u63a2\\u3057\\u3066\\u51fa\\u529b\\u3059\\u308b\\nresult = 0\\n\\nif a == b:\\n    result = c\\nelif b == c:\\n    result = a\\nelif a == c:\\n    result = b\\nelse:\\n    result = \\\"Error\\\"\\n\\nprint(result)\\n\", \"a, b, c = map(int, input().split())\\nif a == b:\\n  print(c)\\nelif b == c:\\n  print(a)\\nelse:\\n  print(b)\", \"a,b,c = input().split()\\n\\nif(a==b):\\n    print(c)\\nelif(a == c):\\n    print(b)\\nelse:\\n    print(a)\", \"from collections import Counter\\n\\nABC = list(map(int, input().split()))\\n\\ncnt = Counter(ABC)\\nvalues, counts = zip(*cnt.most_common(2))\\n\\nprint(values[1])\", \"num = list(map(int, input().split()))\\nnum = sorted(num)\\nprint((num[0] if num[0] != num[1] else num[2]))\\n\", \"a,b,c = map(int,input().split())\\nif a==b:\\n    print(c)\\nelif b==c:\\n    print(a)\\nelse:\\n    print(b)\", \"a,b,c = map(int,input().split())\\nif a == c:\\n  print(b)\\nelif a == b:\\n  print(c)\\nelse:\\n  print(a)\", \"def mapt(fn, *args):\\n    return tuple(map(fn, *args))\\n\\n\\ndef Input():\\n    return mapt(int, input().split(\\\" \\\"))\\n\\n\\ndef main():\\n    abc = sorted(Input())\\n    if abc[0] == abc[1]:\\n        print(abc[2])\\n    else:\\n        print(abc[0])\\n\\n\\nmain()\", \"a,b,c=input().split()\\nif a==b:\\n    print(c)\\nelif a==c:\\n    print(b)\\nelse:\\n    print(a)\", \"# A - One out of Three\\n\\n# \\u5165\\u529b\\u3055\\u308c\\u305f\\u6574\\u6570A,B,C\\u306e\\u3046\\u3061\\u30012\\u3064\\u306f\\u7b49\\u3057\\u304f1\\u3064\\u306f\\u7570\\u306a\\u308b\\n# 1\\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u306e\\u5024\\u3092\\u51fa\\u529b\\u3059\\u308b\\n\\n\\nA,B,C = list(map(int,input().split()))\\n\\nif A == B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelif B == C:\\n    print(A)\\n\", \"a, b, c = list(map(int, input().split()))\\n\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\\n\", \"a, b, c =map(int, input().split())\\n\\n\\nif a==b:\\n    print(c)\\nelif b ==c:\\n    print(a)\\nelse:\\n    print(b)\", \"# 3 \\u3064\\u306e\\u6574\\u6570 A , B , C \\u304c\\u4e0e\\u3048\\u3089\\u308c\\u307e\\u3059\\u3002 A , B , C \\u306e\\u3046\\u3061 2 \\u3064\\u306f \\u540c\\u3058\\u6574\\u6570\\u3067\\u3042\\u308a\\u3001\\u6b8b\\u308a\\u306e 1 \\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3067\\u3059\\u3002\\n# \\u4f8b\\u3048\\u3070\\u3001 A = 5 , B = 7 , C = 5 \\u306e\\u5834\\u5408\\u3001 A , C \\u306e 2 \\u3064\\u306f\\u540c\\u3058\\u6574\\u6570\\u3067\\u3042\\u308a\\u3001 B \\u306f 1 \\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3067\\u3059\\u3002\\n# 3 \\u3064\\u306e\\u6574\\u6570\\u306e\\u3046\\u3061\\u3001 1 \\u3064\\u3060\\u3051\\u7570\\u306a\\u308b\\u6574\\u6570\\u3092\\u6c42\\u3081\\u3066\\u304f\\u3060\\u3055\\u3044\\u3002\\n\\nA,B,C =map(int,input().split())\\n\\nif A == B:\\n    print(C)\\n\\nelif A == C:\\n    print(B)\\n\\nelif B == C:\\n    print(A)\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif B == C:\\n    print(A)\\nelif C == A:\\n    print(B)\", \"a,b,c = map(int,input().split())\\n\\nif a == b:\\n  print(c)\\nelif a == c:\\n  print(b)\\nelse:\\n  print(a)\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"A,B,C=list(map(int,input().split()))\\nif A==B:\\n    print(C)\\nelif B==C:\\n    print(A)\\nelse:\\n    print(B)\\n\", \"#!/usr/bin/env python3\\n\\nA, B, C = list(map(int, input().split()))\\nif A == B: print(C)\\nelif A == C: print(B)\\nelse: print(A)\\n\", \"a, b, c = list(map(int, input().split()))\\n\\nprint((a ^ b ^ c))\\n\", \"A, B, C = map(int, input().split())\\nprint(A if B == C else B if A == C else C)\", \"a, b, c = map(int,input().split())\\n\\nif int(a) == int(b):\\n  print(c)\\nif int(a) == int(c):\\n  print(b)\\nif int(b) == int(c):\\n  print(a)\", \"a, b, c = map(int, input().split())\\nif a == b:\\n    print(c)\\nelif b == c:\\n    print(a)\\nelse:\\n    print(b)\", \"def main():\\n    import sys\\n    input = sys.stdin.readline\\n    sys.setrecursionlimit(10**7)\\n    from collections import Counter, deque\\n    from collections import defaultdict\\n    from itertools import combinations, permutations, accumulate, groupby, product\\n    from bisect import bisect_left,bisect_right\\n    from heapq import heapify, heappop, heappush\\n    from math import floor, ceil,pi,factorial\\n    from operator import itemgetter\\n    def I(): return int(input())\\n    def MI(): return list(map(int, input().split()))\\n    def LI(): return list(map(int, input().split()))\\n    def LI2(): return [int(input()) for i in range(n)]\\n    def MXI(): return [[LI()]for i in range(n)]\\n    def SI(): return input().rstrip()\\n    def printns(x): print(('\\\\n'.join(x)))\\n    def printni(x): print(('\\\\n'.join(list(map(str,x)))))\\n    inf = 10**17\\n    mod = 10**9 + 7\\n#main code here!\\n    a,b,c=MI()\\n    if a==b:\\n        print(c)\\n    elif b==c:\\n        print(a)\\n    else:\\n        print(b)\\n        \\ndef __starting_point():\\n    main()\\n\\n__starting_point()\", \"lst = input().split()\\n\\nfor i in range(3):\\n   if lst.count(lst[i]) == 1:\\n      print(lst[i])\\n      break\", \"a, b, c = map(int, input().split())\\nif a == b:\\n  print(c)\\nelif b == c:\\n  print(a)\\nelse:\\n  print(b)\", \"A,B,C=list(map(int,input().split()))\\nif A==B:\\n  print(C)\\nelif A==C:\\n  print(B)\\nelif B==C:\\n  print(A)\\n\", \"a,b,c = list(map(int,input().split()))\\n\\nif a == b:\\n    print(c)\\nelif a == c:\\n    print(b) \\nelse:\\n    print(a)\\n\", \"A, B, C = map(int, input().split())\\nprint(A ^ B ^ C)\", \"l=sorted(map(int,input().split()))\\nprint(sum(l)-l[1]*2)\", \"#   AtCoder abc075 a\\n#   \\u30b9\\u30c8\\u30ec\\u30c3\\u30c1\\u8ab2\\u984c\\n\\n#   \\u5165\\u529b\\na, b, c =list(map(int, input().split()))\\n\\n#   \\u5224\\u5b9a\\nif a == b:\\n    print(c)\\nelif a == c:\\n    print(b)\\nelse:\\n    print(a)\\n\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif B == C:\\n    print(A)\\nelif A == C:\\n    print(B)\", \"A,B,C = list(map(int,input().split()))\\nif A==B:\\n    print(C)\\nelif A == C:\\n    print(B)\\nelif B == C:\\n    print(A)\\n\", \"A, B, C = map(int, input().split())\\n\\nif A == B:\\n    print(C)\\nelif B == C:\\n    print(A)\\nelse:\\n    print(B)\", \"a,b,c = sorted(map(int,input().split()))\\nprint( c if a == b else a)\", \"a,b,c=map(int,input().split())\\nif a==c:\\n    print(b)\\nelif a==b:\\n    print(c)\\nelse:\\n    print(a)\", \"l = list(map(int, input().split()))\\nfor ll in l:\\n    if l.count(ll)==1:\\n        print(ll)\\n        break\", \"def iroha():\\n    a,b,c = list(map(int, input().split()))\\n    if a == b:\\n        print(c)\\n    elif a == c:\\n        print(b)\\n    else:\\n        print(a)\\n\\n\\n\\ndef __starting_point():\\n    iroha()\\n\\n\\n__starting_point()\", \"a,b,c=list(map(int,input().split()))\\n\\nif a==b:\\n    ans=c\\nelif b==c:\\n    ans=a\\nelse:\\n    ans=b\\nprint(ans)\\n\", \"a, b, c = map(int, input().split())\\nif a == b:\\n    print(c)\\nelif c == b:\\n    print(a)\\nelse:\\n    print(b)\", \"# 075_a\\nA,B,C=list(map(int,input().split()))\\nif (-100<=A and A<=100) and (-100<=B and B<=100) and (-100<=C and C<=100):\\n    if A==B:\\n        print(C)\\n    elif B==C:\\n        print(A)\\n    elif C==A:\\n        print(B)\\n\", \"s=list(map(int,input().split()))\\ni=set(s)\\nprint(sum(i)-(sum(s)-sum(i)))\", \"a,b,c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif a==c:\\n  print(b)\\nelse:\\n  print(a)\", \"a, b, c = map(int, input().split())\\n\\nif a == b:\\n    print(c)\\nelif a == c:\\n    print(b)\\nelse:\\n    print(a)\", \"a,b,c=map(int,input().split())\\nprint(a if b==c else b if a==c else c)\", \"a=list(map(int,input().split()))\\na.sort()\\n\\nif a[0]==a[1]:\\n  print(a[2])\\nelse:\\n  print(a[0])\", \"a, b, c=map(int,input().split())\\nif a==b:\\n  print(c)\\nelif c==b:\\n  print(a)\\nelse:\\n  print(b)\"]",
        "difficulty": "introductory",
        "input": "-100 100 100\n",
        "output": "-100\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc075/tasks/abc075_a"
    },
    {
        "id": 521,
        "task_id": 4695,
        "test_case_id": 1,
        "question": "Based on some criterion, Snuke divided the integers from 1 through 12 into three groups as shown in the figure below.\nGiven two integers x and y (1 ≤ x < y ≤ 12), determine whether they belong to the same group.\n\n-----Constraints-----\n - x and y are integers.\n - 1 ≤ x < y ≤ 12\n\n-----Input-----\nInput is given from Standard Input in the following format:\nx y\n\n-----Output-----\nIf x and y belong to the same group, print Yes; otherwise, print No.\n\n-----Sample Input-----\n1 3\n\n-----Sample Output-----\nYes\n",
        "solutions": "[\"n1 = [1, 3, 5, 7, 8, 10, 12]\\nn2 = [4, 6, 9, 11]\\n\\na, b = list(map(int, input().split()))\\nprint((\\\"Yes\\\" if a in n1 and b in n1 or a in n2 and b in n2 else \\\"No\\\"))\\n\", \"lst1 = [4,6,9,11]\\nlst2 = [2]\\nlst3 = [1,3,5,7,8,10,12]\\nx,y = map(int,input().split())\\nif x in lst1 and y in lst1:\\n    print('Yes')\\nelif x in lst2 and y in lst2:\\n    print('Yes')\\nelif x in lst3 and y in lst3:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y=map(int,input().split())\\nA=[2]\\nB=[4,6,9,11]\\nC=[1,3,5,7,8,10,12]\\nif x in B and y in B:\\n  print(\\\"Yes\\\")\\nelif x in C and y in C:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a,b,c=[1,3,5,7,8,10,12],[4,6,9,11],[2]\\nprint('YNeos'[len(set([0 if i in a else [1,2][i in b] for i in list(map(int,input().split()))]))!=1::2])\", \"X,Y=map(int,input().split())\\nA=1,3,5,7,8,10,12\\nB=4,6,9,11\\nC=2\\nans=\\\"No\\\"\\nif X in A and Y in A:\\n    ans=\\\"Yes\\\"\\nelif X in B and Y in B:\\n    ans=\\\"Yes\\\"\\nelif X==Y==2:\\n    ans=\\\"Yes\\\"\\nprint(ans)\", \"x,y=map(int,input().split())\\ngrp1=[1,3,5,7,8,10,12]\\ngrp2=[4,6,9,11]\\n\\nif x in grp1 and y in grp1: print(\\\"Yes\\\")\\nelif x in grp2 and y in grp2: print(\\\"Yes\\\")\\nelse: print(\\\"No\\\")\", \"a = map(int, input().split())\\ninput_list = list(a)\\n\\ngroup_a = [1, 3, 5, 7, 8, 10, 12]\\ngroup_b = [4, 6, 9, 11]\\ngroup_c = [2]\\nlist_of_list = [group_a, group_b, group_c]\\n\\ncount_match = 0\\n\\nfor list_i in list_of_list:\\n    if input_list[0] in list_i and input_list[1] in list_i:\\n        count_match += 1\\n        break\\n\\nif count_match == 1:\\n    print('Yes')\\nelse:\\n    print('No')\", \"data_1 =[1,3,5,7,8,10,12]\\ndata_2 =[4,6,9,11]\\nx,y = map(int,input().split())\\nif x in data_1 and y in data_1:\\n    print('Yes')\\nelif x in data_2 and y in data_2:\\n    print('Yes')\\nelse:\\n    print('No')\", \"#!/usr/bin/env python3\\nx, y = list(map(int, input().split()))\\n\\na = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\n\\nif x in a and y in a:\\n    print('Yes')\\nelif x in b and y in b:\\n    print('Yes')\\nelif x in c and y in c:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a,b = map(int,input().split())\\n\\nx = [1,3,5,7,8,10,12]\\ny = [4,6,9,11]\\n\\nif a in x and b in x or a in y and b in y:\\n  print('Yes')\\n  \\nelse:\\n  print('No')\", \"x,y=map(int,input().split())\\ns1 = [1,3,5,7,8,10,12]\\ns2 = [4,6,9,11]\\ns3 = [2]\\nif x in s1 and y in s1:\\n    print('Yes')\\nelif x in s2 and y in s2:\\n    print('Yes')\\nelif x in s3 and y in s3:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y = map(int, input().split())\\na = [1,3,5,7,8,10,12]\\nb = [4,6,9,11]\\nc = [2]\\nif (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n    print('Yes')\\nelse:\\n    print('No')\", \"x, y = map(int, input().split())\\n\\nA = [1, 3, 5, 7, 8, 10, 12]\\nB = [4, 6, 9, 11]\\nC = [2, ]\\n\\nif x in A and y in A:\\n    print('Yes')\\nelif x in B and y in B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y=map(int,input().split())\\n\\nn=[0,1,3,1,2,1,2,1,1,2,1,2,1]\\n\\nif n[x]==n[y]:\\n    ans=\\\"Yes\\\"\\nelse:\\n    ans=\\\"No\\\"\\n            \\nprint(ans)\", \"A=[1,3,5,7,8,10,12]\\nB=[4,6,9,11]\\nC=[2]\\nx,y = map(int,input().split())\\nif x in A and y in A:\\n    print('Yes')  \\nelif x in B and y in B:\\n    print('Yes')\\nelse:\\n    print('No') \", \"x, y = map(int,input().split())\\nS1 = [1, 3, 5, 7, 8, 10, 12]\\nS2 = [4, 6, 9, 11]\\nans = False\\nfor i in range(len(S1)):\\n  for j in range(len(S1)):\\n    if S1[i] == x and S1[j] == y:\\n      ans = True\\nfor i in range(len(S2)):\\n  for j in range(len(S2)):\\n    if S2[i] == x and S2[j] == y:\\n      ans = True\\nif ans:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"c = [['1', '3', '5', '7', '8', '10', '12'], ['4', '6', '9', '11'], ['2']]\\n\\na, b = input().split(' ')\\n\\nif a in c[0] and b in c[0]:\\n  print(\\\"Yes\\\")\\nelif a in c[1] and b in c[1]:\\n  print(\\\"Yes\\\")\\nelif a in c[2] and b in c[2]:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"x, y = map(int, input().split())\\ngroup1 = [1, 3, 5, 7, 8, 10, 12]\\ngroup2 = [4, 6, 9, 11]\\n\\nflag = False\\nif x in group1 and y in group1:\\n    flag = True\\nelif x in group2 and y in group2:\\n    flag = True\\n    \\nif flag:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x, y = list(map(int, input().split()))\\na = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\n\\nif x in a and x not in b and x not in c and y in a and y not in b and y not in c:\\n  print('Yes')\\nelif x not in a and x in b and x not in c and y not in a and y in b and y not in c :\\n  print('Yes')\\nelse:\\n  print('No')\\n\", \"x,y = map(int,input().split())\\ngr_a = [1,3,5,7,8,10,12]\\ngr_b = [4,6,9,11]\\ngr_c = [2]\\n\\nif x in gr_a and y in gr_a:\\n  print(\\\"Yes\\\")\\nelif x in gr_b and y in gr_b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"g1 = [4, 6, 9, 11]\\ng2 = [2]\\n\\nx, y = list(map(int, input().split()))\\ngx = 1 if x in g1 else 2 if x in g2 else 0\\ngy = 1 if y in g1 else 2 if y in g2 else 0\\nprint((\\\"Yes\\\" if gx == gy else \\\"No\\\"))\\n\", \"a = map(int, input().split())\\ninput_set = set(a)\\n\\ngroup_a = {1, 3, 5, 7, 8, 10, 12}\\ngroup_b = {4, 6, 9, 11}\\ngroup_c = {2}\\n\\nlist_of_list = [group_a, group_b, group_c]\\n\\ncount_match = 0\\n\\nfor set_i in list_of_list:\\n    if set_i.issuperset(input_set):\\n        count_match += 1\\n        print('Yes')\\n        break\\n\\nif not count_match >= 1:\\n    print('No')\", \"a=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nc=list(map(int,input().split(\\\" \\\")))\\nprint(\\\"Yes\\\") if (c[0] in a and c[1] in a) or (c[0] in b and c[1] in b) else print(\\\"No\\\")\", \"x, y = list(map(int,input().split()))\\n\\na= [1,3,5,7,8,10,12]\\nb= [4,6,9,11]\\nc= [2]\\n\\nif (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y=map(int,input().split())\\na=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nc=[2]\\n\\nif (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"l = ((1,3,5,7,8,10,12),(4,6,9,11),(0,2))\\nx,y = map(int, input().split())\\np = 0\\nfor i in l:\\n\\tif x in i and y in i:\\n\\t\\tp = 1\\n\\t\\tbreak\\nans = 'Yes' if p == 1 else 'No'\\nprint(ans)\", \"group1 = [1, 3, 5, 7, 8, 10, 12]\\ngroup2 = [4, 6, 9, 11]\\n\\nx, y = map(int, input().split())\\n\\nif (x in group1 and y in group1) or (x in group2 and y in group2) or (x == y == 2):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"print('YNeos'[len(set([0 if i==2 else [1,2][i in [4,6,9,11]] for i in [*map(int,input().split())]]))!=1::2])\", \"G1 = [1,3,5,7,8,10,12]\\nG2 = [4,6,9,11]\\nx,y = map(int, input().split())\\n\\nif x in G1 and y in G1:\\n  print('Yes')\\nelif x in G2 and y in G2:\\n  print('Yes')\\nelse:\\n  print('No')\", \"x,y=map(int,input().split())\\na=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nif x in a and y in a :\\n  print(\\\"Yes\\\")\\nelif x in b and y in b :\\n  print(\\\"Yes\\\")\\nelse :\\n  print(\\\"No\\\")\", \"x,y=list(map(int,input().split()))\\nfor l in [[1,3,5,7,8,10,12],[4,6,9,11],[2]]:\\n    if x in l and y in l:\\n        print('Yes')\\n        return\\nprint('No')\\n\", \"x, y = map(int, input().split())\\n\\ng1 = [1, 3, 5, 7, 8, 10, 12]\\ng2 = [4, 6, 9, 11]\\ng3 = [2]\\n\\nif (x in g1 and y in g1) or (x in g2 and y in g2) or (x in g3 and y in g3):\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b = list(map(int, input().split()))\\n\\nlis = [4, 6, 9, 11]\\nlis2 = [1, 3, 5, 7, 8, 10, 12]\\n\\nif a == b == 2:\\n    print('Yes')\\nelif a in lis and b in lis:\\n    print('Yes')\\nelif a in lis2 and b in lis2:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"def solve():\\n    x, y = list(map(int, input().split()))\\n    a = [1, 3, 5, 7, 8, 10, 12]\\n    b = [4, 6, 9, 11]\\n    c = [2]\\n\\n    if (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n        print(\\\"Yes\\\")\\n    else:\\n        print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    solve()\\n\\n__starting_point()\", \"array1 = [1,3,5,7,8,10,12]\\narray2 = [4,6,9,11]\\narray3 = [2]\\nx,y = map(int,input().split())\\nif (x in array1 and y in array1) or (x in array2 and y in array2) or (x in array3 and y in array3):\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"x,y=map(int,input().split())\\na=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nif x in a and y in a:\\n    print(\\\"Yes\\\")\\nelif x in b and y in b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"s1 =set([1,3,5,7,8,10,12])\\ns2 =set([4,6,9,11])\\ns3 =set([2])\\na,b =map(int,input().split())\\nfor i in [s1,s2,s3]:\\n  if a in i and b in i:\\n    print(\\\"Yes\\\")\\n    break\\nelse:\\n  print(\\\"No\\\")\", \"a = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\nx, y = map(int, input().split())\\nif a.count(x) * a.count(y) > 0 or b.count(x) * b.count(y) > 0 or c.count(x) * c.count(y) > 0:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b = [int(x) for x in input().split()]\\ng = [[] for x in range(3)]\\ng[0] = [1,3,5,7,8,10,12]\\ng[1] = [4,6,9,11]\\ng[2] = [2]\\nres = \\\"No\\\"\\nfor i in range(3):\\n  if a in g[i] and b in g[i]:\\n    res = \\\"Yes\\\"\\n    \\nprint(res)\", \"a, b = map(int, input().split())\\n\\nif a == 4 or a == 6 or a == 9 or a == 11:\\n  if b == 1 or b == 2 or b == 3 or b == 5 or b == 7 or b == 8 or b == 10 or b == 12:\\n    print(\\\"No\\\")\\n  else:\\n    print(\\\"Yes\\\")\\n    \\nelif a == 2:\\n  print(\\\"No\\\")\\n  \\nelse:\\n  if b == 2 or b == 4 or b == 6 or b == 9 or b == 11:\\n    print(\\\"No\\\")\\n  else:\\n    print(\\\"Yes\\\")\", \"a=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nc=[2]\\np=0\\nq=0\\n\\ns=list(map(int,input().split()))\\n\\nfor i in a:\\n  if s[0]==i:\\n    p=0\\n  elif s[0]==2:\\n    p=2\\n  else:\\n    p=1\\n\\nfor i in a:\\n  if s[1]==i:\\n    q=0\\n  elif s[1]==2:\\n    q=2\\n  else:\\n    q=1\\n\\nif p==q:\\n  print('Yes')\\nelse:\\n  print('No')\\n\", \"a,b=map(int,input().split())\\nl1=[1,3,5,7,8,10,12]\\nl2=[4,6,9,11] \\nif a==2 or b==2:\\n  print(\\\"No\\\")\\nelif a in l1 and b in l1:\\n  print(\\\"Yes\\\")\\nelif a in l2 and b in l2:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b = map(int, input().split())\\ns = {1, 3, 5, 8, 7, 10, 12}\\nt = {4, 6, 9, 11}\\nu = {2}\\nif a in s and b in s:\\n    print(\\\"Yes\\\")\\nelif a in t and b in t:\\n    print(\\\"Yes\\\")\\nelif a in u and b in u:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"x, y = list(map(int, input().split()))\\na = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\n\\nif (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"x, y=map(int, input().split())\\nA=set([1, 3, 5, 7, 8, 10, 12])\\nB=set([4, 6, 9, 11])\\nif x in A and y in A:\\n  print('Yes')\\nelif x in B and y in B:\\n  print('Yes')\\nelse:\\n  print('No')\", \"x,y=map(int,input().split())\\n \\nA=[1,3,5,7,8,10,12]\\nB=[4,6,9,11]\\n \\nif x==2 or y==2:\\n  print('No')\\nelif (x in A and y in A) or (x in B and y in B):\\n  print('Yes')\\nelse:\\n  print('No')\", \"x,y=map(int, input().split())  \\ng=[[1,3,5,7,8,10,12],[4,6,9,11]]\\nprint(\\\"Yes\\\" if any(x in g[i] and y in g[i] for i in range(2)) else \\\"No\\\")\", \"gr = [0,1,3,1,2,1,2,1,1,2,1,2,1]\\nx, y = map(int, input().split())\\nans = 'Yes' if gr[x] == gr[y] else 'No'\\nprint(ans)\", \"x,y = map(int,input().split())\\n\\ngrp1=[1,3,5,7,8,10,12]\\ngrp2=[4,6,9,11]\\n\\nif x in grp1 and y in grp1: print('Yes')\\nelif x in grp2 and y in grp2: print('Yes')\\nelse: print('No')\", \"a=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nx,y=map(int,input().split())\\nif (x in a and y in a) or (x in b and y in b):print('Yes')\\nelse:print('No')\", \"x,y=map(int,input().split())\\ngroup_A=[1,3,5,7,8,10,12]\\ngroup_B=[4,6,9,11]\\nif x in group_A and y in group_A :\\n  print(\\\"Yes\\\")\\nelif x in group_B and y in group_B :\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"L=[1,0,1,2,1,2,1,1,2,1,2,1]\\na,b=map(int,input().split())\\nif L[a-1]==L[b-1]:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\nx, y = map(int, input().split())\\nif (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y=list(map(int,input().split()))\\nA={1,3,5,7,8,10,13}\\nB={4,6,9,11}\\nC={2}\\n\\nif (x in A and y in A) or (x in B and y in B) or (x in C and y in C):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"g = [-1, 0, 2, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0]\\nx, y = map(int, input().split())\\nif g[x] == g[y]: print('Yes')\\nelse: print('No')\", \"x, y = list(map(int, input().split()))\\n\\nga = [4,6,9,11]\\ngb = [1,3,5,7,8,10,12]\\ngc = [2]\\n\\nxg = yg = \\\"\\\"\\ndef group(x):\\n  if x in ga:\\n    return \\\"ga\\\"\\n  if x in gb:\\n    return \\\"gb\\\"\\n  if x in gc:\\n    return \\\"gc\\\"\\nxg = group(x)\\nyg = group(y)\\nif xg == yg:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"x, y = map(int, input().split())\\n\\ng1 = [1, 3, 5, 7, 8, 10, 12]\\ng2 = [4, 6, 9, 11]\\n\\n\\nif x == 2 and y == 2:\\n    print(\\\"Yes\\\")\\nelif x in g1 and y in g1:\\n    print(\\\"Yes\\\")\\nelif x in g2 and y in g2:\\n    print(\\\"Yes\\\")\\nelse:\\n print(\\\"No\\\")\", \"a,b=map(int,input().split())\\ns=[1,3,5,7,8,10,12]\\nt=[4,6,9,11]\\nif a in s:\\n    a = 0\\nelif a in t:\\n    a = 1\\nelse:\\n    a = 2\\nif b in s:\\n    b = 0\\nelif b in t:\\n    b = 1\\nelse:\\n    b = 2\\nprint(\\\"Yes\\\" if a==b else \\\"No\\\")\", \"N = 12\\nParent = [I for I in range(N+1)]\\nRank = [0]*(N+1)\\ndef FindParent(X):\\n    if Parent[X]==X:\\n        return X\\n    else:\\n        Parent[X] = FindParent(Parent[X])\\n        return Parent[X]\\n\\ndef CheckParent(X,Y):\\n    return FindParent(X)==FindParent(Y)\\n\\ndef UniteParent(X,Y):\\n    X = FindParent(X)\\n    Y = FindParent(Y)\\n    if X==Y:\\n        return 0\\n    if Rank[X]<Rank[Y]:\\n        Parent[X] = Y\\n    else:\\n        Parent[Y] = X\\n        if Rank[X]==Rank[Y]:\\n            Rank[X] += 1\\n            \\nfor GA in [3,5,7,8,10,12]:\\n    UniteParent(1,GA)\\nfor GB in [6,9,11]:\\n    UniteParent(4,GB)\\nX,Y = (int(T) for T in input().split())\\nprint(['No','Yes'][CheckParent(X,Y)])\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    x, y = LI()\\n    d = {1: 0, 2: 2, 3: 0, 4: 1, 5: 0, 6: 1, 7: 0, 8: 0, 9: 1, 10: 0, 11: 1, 12: 0}\\n\\n    if d[x] == d[y]:\\n        print('Yes')\\n    else:\\n        print('No')\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"a = [1,3,5,7,8,10,12]\\nb = [4,6,9,11]\\nc = [2]\\nx,y=map(int,input().split())\\nif x in a and y in a:\\n  print(\\\"Yes\\\")\\nelif x in b and y in b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"x,y=map(int,input().split())\\ns1={1,3,5,7,8,10,12}\\ns2={4,6,9,11}\\nprint([\\\"No\\\",\\\"Yes\\\"][(x in s1 and y in s1) or (x in s2 and y in s2)]) \", \"x, y = map(int, input().split())\\na = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\n\\nif (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n    print('Yes')\\nelse:\\n    print('No')\", \"g = [0,1,3,1,2,1,2,1,1,2,1,2,1]\\nx, y = map(int,input().split())\\n\\nprint('Yes') if g[x] == g[y] else print('No')\", \"x,y=map(int,input().split())\\ndata=[1,3,1,2,1,2,1,1,2,1,2,1]\\nif data[x-1]==data[y-1]:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y=list(map(int,input().split()))\\na=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nc=[2]\\nif x in a and y in a:\\n    print(\\\"Yes\\\")\\nelif x in b and y in b:\\n    print(\\\"Yes\\\")\\nelif x in c and y in c:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a = [1,3,5,7,8,10,12]\\nb = [4,6,9,11]\\nx,y = list(map(int,input().split()))\\nprint((\\\"Yes\\\" if (x in a and y in a) or (x in b and y in b) else \\\"No\\\"))\\n\", \"x, y = map(int, input().split())\\na=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nif (x==y or (x in a and y in a) or (x in b and y in b)):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b = map(int,input().split())\\nx = [1,3,5,7,8,10,12]\\ny = [4,6,9,11]\\nif a == 2 or b == 2:\\n    print(\\\"No\\\")\\nelse:\\n    if a in x and b in x:\\n        print(\\\"Yes\\\")\\n    elif a in y and b in y:\\n        print(\\\"Yes\\\")\\n    else:\\n        print(\\\"No\\\")\", \"x,y = map(int,input().split())\\nA = [1,3,5,7,8,10,12]\\nB = [4,6,9,11]\\nC = [2]\\n\\nif x in A and y in A:\\n  check = True\\nelif x in B and y in B:\\n  check = True\\nelif x in C and y in C:\\n  check = True\\nelse:\\n  check = False\\n  \\nprint(\\\"Yes\\\" if check else \\\"No\\\")\", \"import sys, math\\nfrom itertools import combinations as c, product as p\\nfrom collections import deque\\nsys.setrecursionlimit(10**9)\\nINF = float('inf')\\nMOD = 10**9 + 7\\n#MOD = 998244353\\n\\n\\ndef si(): return input()\\ndef ii(): return int(input())\\ndef fi(): return float(input())\\ndef lstr(): return input().split()\\ndef lint(): return list(map(int, input().split()))\\ndef lintdec(): return list(map(lambda x:int(x) - 1, input().split()))\\ndef lnstr(n): return [input() for _ in range(n)]\\ndef lnint(n): return [int(input()) for _ in range(n)]\\ndef lint_list(n): return [lint() for _ in range(n)]\\n\\n\\n\\n############################################################\\nc = set(lint())\\na = set([1, 3, 5, 7, 8, 10, 12])\\nb = set([4, 6, 9, 11])\\n\\nif c & a == c or c & b == c:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y = list(map(int,input().split()))\\n\\na = [1,3,5,7,8,10,12]\\nb = [4,6,9,11]\\n\\nif x == 2 or y == 2:\\n  print('No')\\nelif x in a and y in a:\\n  print('Yes')\\nelif x in b and y in b:\\n  print('Yes')\\nelse:\\n  print('No')\\n\", \"x, y = map(int, input().split())\\na = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc =[2]\\nif x in a and y in a:\\n  print(\\\"Yes\\\")\\nelif x in b and y in b:\\n  print(\\\"Yes\\\")\\nelif x in c and y in c:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"x, y = map(int, input().split())\\na = [4, 6, 9, 11]\\nb = 0\\nc = 0\\nif x == 2 or y == 2:\\n    print(\\\"No\\\")\\nelse:\\n    if x in a:\\n        b = 1\\n    if y in a:\\n        c = 1\\n    if (b + c) % 2 == 0:\\n        print(\\\"Yes\\\")\\n    else:\\n        print(\\\"No\\\")\", \"x, y = list(map(int, input().split()))\\n\\ngroup_1 = {1, 3, 5, 7, 8, 10, 12}\\ngroup_2 = {4, 6, 9, 11}\\n\\nif (x in group_1) and (y in group_1):\\n    print('Yes')\\nelif (x in group_2) and (y in group_2):\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"x,y=map(int,input().split())\\nG=\\\"121313113131\\\"\\nprint([\\\"No\\\",\\\"Yes\\\"][G[x-1]==G[y-1]])\", \"x, y = map(int, input().split())\\nd = {1:1, 3:1, 5:1, 7:1, 8:1, 10:1, 12:1, 4:2, 6:2, 9:2, 11:2, 2:3}\\nif d[x]==d[y]:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"s = \\\"0131212112121\\\"\\nx,y = map(int,input().split())\\nprint(\\\"Yes\\\" if s[x]==s[y] else \\\"No\\\")\", \"x,y = map(int,input().split())\\ng = [[1,3,5,7,8,10,12],[4,6,9,11],[2]]\\ns = 0\\nfor i in range(3):\\n    if x in g[i] and y in g[i]:\\n        print(\\\"Yes\\\")\\n        s = 1\\nif s == 0:\\n    print(\\\"No\\\")\", \"x,y = map(int, input().split())\\na = [1,3,5,7,8,10,12]\\nb = [4,6,9,11]\\nif (x in a and y in a) or (x in b and y in b):\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"print('YNeos'[len(set([0 if i==2 else [1,2][i in [4,6,9,11]] for i in list(map(int,input().split()))]))!=1::2])\", \"group = [0,2,0,1,0,1,0,0,1,0,1,0]\\nx,y = map(int, open(0).readline().split())\\nprint('Yes' if group[x-1] == group[y-1] else 'No')\", \"a, b = list(map(int, input().split()))\\ns = {1, 3, 5, 8, 7, 10, 12}\\nt = {4, 6, 9, 11}\\nu = {2}\\nif a in s and b in s:\\n    print(\\\"Yes\\\")\\nelif a in t and b in t:\\n    print(\\\"Yes\\\")\\nelif a in u and b in u:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"x,y = list(map(int,input().split()))\\n\\ns = [1,3,5,7,8,10,12]\\ns1 = [4,6,9,11]\\ns2 = [2]\\n\\nif x in s:\\n    if y in s:\\n        print('Yes')\\n        return\\nelif x in s1:\\n    if y in s1:\\n        print('Yes')\\n        return\\nelif x in s2:\\n    if y in s2:\\n        print('Yes')\\n        return\\n\\nprint('No')\\n\", \"G = [set([1,3,5,7,8,10,12]), set([4,6,9,11]), set([2])]\\ndef check(x, y):\\n  for g in G:\\n    if x in g and y in g:\\n      return True\\n  return False\\nx, y = list(map(int, input().split()))\\nprint((\\\"Yes\\\" if check(x, y) else \\\"No\\\"))\\n\", \"lst = input().split()\\n\\nx = int(lst[0])\\ny = int(lst[1])\\n\\nA = [1, 3, 5, 7, 8, 10, 12]\\nB = [4, 6, 9, 11]\\nC = [2]\\n\\ndef judge(L):\\n   if (x in L) and (y in L):\\n      return True\\n   else:\\n      return False\\n\\nif judge(A) or judge(B) or judge(C):\\n   print('Yes')\\nelse:\\n   print('No')\", \"r = list(map(int,input().split()))\\na=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nc=[2]\\nif r[0]==2 or r[0]==2:\\n  print('No')\\nelif len(list(set(r) & set(a))) == 2:\\n  print('Yes')\\nelif len(list(set(r) & set(b))) == 2:\\n  print('Yes')\\nelse:\\n  print('No')\", \"lisa=[1,3,5,7,8,10,12]\\nlisb=[4,6,9,11]\\nlisc=[2]\\nx,y=map(int,input().split())\\nif (x in lisa)and(y in lisa):\\n    print(\\\"Yes\\\")\\nelif (x in lisb)and(y in lisb):\\n    print(\\\"Yes\\\")\\nelif (x in lisc)and(y in lisc):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"x, y = map(int, input().split())\\n\\ng1 = [1, 3, 5, 7, 8, 10, 12]\\ng2 = [4, 6, 9, 11]\\n\\nprint(\\\"Yes\\\" if (x in g1 and y in g1) or (x in g2 and y in g2) else \\\"No\\\")\", \"a = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\nacount = 0\\nbcount = 0\\nccount = 0\\n\\nx, y = input().split()\\n\\nfor i in range(0, 7):\\n    if int(x) == a[i] or int(y) == a[i]:\\n        acount += 1\\n\\nfor i in range(0, 4):\\n    if int(x) == b[i] or int(y) == b[i]:\\n        bcount += 1\\n\\nif int(x) == c[0]:\\n    ccount += 1\\nif int(y) == c[0]:\\n    ccount += 1\\n\\n\\nif acount == 2 or bcount == 2 or ccount == 2:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\\n\\n\", \"g = [[1, 3, 5, 7, 8, 10, 12], [4, 6, 9, 11], [2]]\\nx, y = map(int, input().split())\\nfor i in range(len(g)):\\n    if x in g[i]:\\n        xg = i\\n    if y in g[i]:\\n        yg = i\\nif xg == yg:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x, y = map(int, input().split())\\n\\ngr1=[1,3,5,7,8,10,12]\\ngr2=[4,6,9,11]\\ngr3=[2]\\n\\nif x in gr1 and y in gr1:\\n    print('Yes')\\nelif x in gr2 and y in gr2:\\n    print('Yes')\\nelif x in gr3 and y in gr3:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x, y =map(int, input().split())\\nif x in {1,3,5,7,8,10,12}:\\n    x= 1\\nelif x in {4,6,9,11}:\\n    x =2\\nelse:\\n    x = 3\\nif y in {1,3,5,7,8,10,12}:\\n    y= 1\\nelif y in {4,6,9,11}:\\n    y =2\\nelse:\\n    y = 3\\nprint(\\\"Yes\\\" if x == y else \\\"No\\\")\", \"x,y=map(int,input().split())\\ng1 = {1,3,5,7,8,10,12}\\ng2 = {4,6,9,11}\\ng3 = {2}\\n\\ndef group(z):\\n  if z in g1:return 1\\n  elif z in g2:return 2\\n  else: return 3\\n  \\nif group(x)==group(y):print('Yes')\\nelse:print('No')\", \"'''\\nabc062 A - Grouping\\nhttps://atcoder.jp/contests/abc062/tasks/abc062_a\\n'''\\n\\ndirs = [{1, 3, 5, 7, 8, 10, 12}, {4, 6, 9, 11}, {2}]\\n\\ni = list(map(int, input().split()))\\n\\nfor dir in dirs:\\n    if i[0] in dir and i[1] in dir:\\n        print('Yes')\\n        return\\nelse:\\n    print('No')\\n\", \"a,b=input().split()\\na=int(a)\\nb=int(b)\\nl1=[1,3,5,7,8,10,12]\\nl2=[4,6,9,11]\\nif a in l1 and b in l1:\\n  print(\\\"Yes\\\")\\nelif a in l2 and b in l2:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n\\nx,y = list(map(int, input().split()))\\n\\ng1 = [1,3,5,7,8,10,12]\\ng2 = [4,6,9,11]\\ng3 = [2]\\n\\n\\nif (x in g1 and y in g1):\\n    print(\\\"Yes\\\")\\nelif (x in g2 and y in g2):\\n    print(\\\"Yes\\\")\\nelif (x in g3 and y in g3):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\\n\\n\"]",
        "difficulty": "introductory",
        "input": "1 3\n",
        "output": "Yes\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc062/tasks/abc062_a"
    },
    {
        "id": 522,
        "task_id": 4695,
        "test_case_id": 2,
        "question": "Based on some criterion, Snuke divided the integers from 1 through 12 into three groups as shown in the figure below.\nGiven two integers x and y (1 ≤ x < y ≤ 12), determine whether they belong to the same group.\n\n-----Constraints-----\n - x and y are integers.\n - 1 ≤ x < y ≤ 12\n\n-----Input-----\nInput is given from Standard Input in the following format:\nx y\n\n-----Output-----\nIf x and y belong to the same group, print Yes; otherwise, print No.\n\n-----Sample Input-----\n1 3\n\n-----Sample Output-----\nYes\n",
        "solutions": "[\"n1 = [1, 3, 5, 7, 8, 10, 12]\\nn2 = [4, 6, 9, 11]\\n\\na, b = list(map(int, input().split()))\\nprint((\\\"Yes\\\" if a in n1 and b in n1 or a in n2 and b in n2 else \\\"No\\\"))\\n\", \"lst1 = [4,6,9,11]\\nlst2 = [2]\\nlst3 = [1,3,5,7,8,10,12]\\nx,y = map(int,input().split())\\nif x in lst1 and y in lst1:\\n    print('Yes')\\nelif x in lst2 and y in lst2:\\n    print('Yes')\\nelif x in lst3 and y in lst3:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y=map(int,input().split())\\nA=[2]\\nB=[4,6,9,11]\\nC=[1,3,5,7,8,10,12]\\nif x in B and y in B:\\n  print(\\\"Yes\\\")\\nelif x in C and y in C:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a,b,c=[1,3,5,7,8,10,12],[4,6,9,11],[2]\\nprint('YNeos'[len(set([0 if i in a else [1,2][i in b] for i in list(map(int,input().split()))]))!=1::2])\", \"X,Y=map(int,input().split())\\nA=1,3,5,7,8,10,12\\nB=4,6,9,11\\nC=2\\nans=\\\"No\\\"\\nif X in A and Y in A:\\n    ans=\\\"Yes\\\"\\nelif X in B and Y in B:\\n    ans=\\\"Yes\\\"\\nelif X==Y==2:\\n    ans=\\\"Yes\\\"\\nprint(ans)\", \"x,y=map(int,input().split())\\ngrp1=[1,3,5,7,8,10,12]\\ngrp2=[4,6,9,11]\\n\\nif x in grp1 and y in grp1: print(\\\"Yes\\\")\\nelif x in grp2 and y in grp2: print(\\\"Yes\\\")\\nelse: print(\\\"No\\\")\", \"a = map(int, input().split())\\ninput_list = list(a)\\n\\ngroup_a = [1, 3, 5, 7, 8, 10, 12]\\ngroup_b = [4, 6, 9, 11]\\ngroup_c = [2]\\nlist_of_list = [group_a, group_b, group_c]\\n\\ncount_match = 0\\n\\nfor list_i in list_of_list:\\n    if input_list[0] in list_i and input_list[1] in list_i:\\n        count_match += 1\\n        break\\n\\nif count_match == 1:\\n    print('Yes')\\nelse:\\n    print('No')\", \"data_1 =[1,3,5,7,8,10,12]\\ndata_2 =[4,6,9,11]\\nx,y = map(int,input().split())\\nif x in data_1 and y in data_1:\\n    print('Yes')\\nelif x in data_2 and y in data_2:\\n    print('Yes')\\nelse:\\n    print('No')\", \"#!/usr/bin/env python3\\nx, y = list(map(int, input().split()))\\n\\na = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\n\\nif x in a and y in a:\\n    print('Yes')\\nelif x in b and y in b:\\n    print('Yes')\\nelif x in c and y in c:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"a,b = map(int,input().split())\\n\\nx = [1,3,5,7,8,10,12]\\ny = [4,6,9,11]\\n\\nif a in x and b in x or a in y and b in y:\\n  print('Yes')\\n  \\nelse:\\n  print('No')\", \"x,y=map(int,input().split())\\ns1 = [1,3,5,7,8,10,12]\\ns2 = [4,6,9,11]\\ns3 = [2]\\nif x in s1 and y in s1:\\n    print('Yes')\\nelif x in s2 and y in s2:\\n    print('Yes')\\nelif x in s3 and y in s3:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y = map(int, input().split())\\na = [1,3,5,7,8,10,12]\\nb = [4,6,9,11]\\nc = [2]\\nif (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n    print('Yes')\\nelse:\\n    print('No')\", \"x, y = map(int, input().split())\\n\\nA = [1, 3, 5, 7, 8, 10, 12]\\nB = [4, 6, 9, 11]\\nC = [2, ]\\n\\nif x in A and y in A:\\n    print('Yes')\\nelif x in B and y in B:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y=map(int,input().split())\\n\\nn=[0,1,3,1,2,1,2,1,1,2,1,2,1]\\n\\nif n[x]==n[y]:\\n    ans=\\\"Yes\\\"\\nelse:\\n    ans=\\\"No\\\"\\n            \\nprint(ans)\", \"A=[1,3,5,7,8,10,12]\\nB=[4,6,9,11]\\nC=[2]\\nx,y = map(int,input().split())\\nif x in A and y in A:\\n    print('Yes')  \\nelif x in B and y in B:\\n    print('Yes')\\nelse:\\n    print('No') \", \"x, y = map(int,input().split())\\nS1 = [1, 3, 5, 7, 8, 10, 12]\\nS2 = [4, 6, 9, 11]\\nans = False\\nfor i in range(len(S1)):\\n  for j in range(len(S1)):\\n    if S1[i] == x and S1[j] == y:\\n      ans = True\\nfor i in range(len(S2)):\\n  for j in range(len(S2)):\\n    if S2[i] == x and S2[j] == y:\\n      ans = True\\nif ans:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"c = [['1', '3', '5', '7', '8', '10', '12'], ['4', '6', '9', '11'], ['2']]\\n\\na, b = input().split(' ')\\n\\nif a in c[0] and b in c[0]:\\n  print(\\\"Yes\\\")\\nelif a in c[1] and b in c[1]:\\n  print(\\\"Yes\\\")\\nelif a in c[2] and b in c[2]:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"x, y = map(int, input().split())\\ngroup1 = [1, 3, 5, 7, 8, 10, 12]\\ngroup2 = [4, 6, 9, 11]\\n\\nflag = False\\nif x in group1 and y in group1:\\n    flag = True\\nelif x in group2 and y in group2:\\n    flag = True\\n    \\nif flag:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x, y = list(map(int, input().split()))\\na = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\n\\nif x in a and x not in b and x not in c and y in a and y not in b and y not in c:\\n  print('Yes')\\nelif x not in a and x in b and x not in c and y not in a and y in b and y not in c :\\n  print('Yes')\\nelse:\\n  print('No')\\n\", \"x,y = map(int,input().split())\\ngr_a = [1,3,5,7,8,10,12]\\ngr_b = [4,6,9,11]\\ngr_c = [2]\\n\\nif x in gr_a and y in gr_a:\\n  print(\\\"Yes\\\")\\nelif x in gr_b and y in gr_b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"g1 = [4, 6, 9, 11]\\ng2 = [2]\\n\\nx, y = list(map(int, input().split()))\\ngx = 1 if x in g1 else 2 if x in g2 else 0\\ngy = 1 if y in g1 else 2 if y in g2 else 0\\nprint((\\\"Yes\\\" if gx == gy else \\\"No\\\"))\\n\", \"a = map(int, input().split())\\ninput_set = set(a)\\n\\ngroup_a = {1, 3, 5, 7, 8, 10, 12}\\ngroup_b = {4, 6, 9, 11}\\ngroup_c = {2}\\n\\nlist_of_list = [group_a, group_b, group_c]\\n\\ncount_match = 0\\n\\nfor set_i in list_of_list:\\n    if set_i.issuperset(input_set):\\n        count_match += 1\\n        print('Yes')\\n        break\\n\\nif not count_match >= 1:\\n    print('No')\", \"a=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nc=list(map(int,input().split(\\\" \\\")))\\nprint(\\\"Yes\\\") if (c[0] in a and c[1] in a) or (c[0] in b and c[1] in b) else print(\\\"No\\\")\", \"x, y = list(map(int,input().split()))\\n\\na= [1,3,5,7,8,10,12]\\nb= [4,6,9,11]\\nc= [2]\\n\\nif (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y=map(int,input().split())\\na=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nc=[2]\\n\\nif (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"l = ((1,3,5,7,8,10,12),(4,6,9,11),(0,2))\\nx,y = map(int, input().split())\\np = 0\\nfor i in l:\\n\\tif x in i and y in i:\\n\\t\\tp = 1\\n\\t\\tbreak\\nans = 'Yes' if p == 1 else 'No'\\nprint(ans)\", \"group1 = [1, 3, 5, 7, 8, 10, 12]\\ngroup2 = [4, 6, 9, 11]\\n\\nx, y = map(int, input().split())\\n\\nif (x in group1 and y in group1) or (x in group2 and y in group2) or (x == y == 2):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"print('YNeos'[len(set([0 if i==2 else [1,2][i in [4,6,9,11]] for i in [*map(int,input().split())]]))!=1::2])\", \"G1 = [1,3,5,7,8,10,12]\\nG2 = [4,6,9,11]\\nx,y = map(int, input().split())\\n\\nif x in G1 and y in G1:\\n  print('Yes')\\nelif x in G2 and y in G2:\\n  print('Yes')\\nelse:\\n  print('No')\", \"x,y=map(int,input().split())\\na=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nif x in a and y in a :\\n  print(\\\"Yes\\\")\\nelif x in b and y in b :\\n  print(\\\"Yes\\\")\\nelse :\\n  print(\\\"No\\\")\", \"x,y=list(map(int,input().split()))\\nfor l in [[1,3,5,7,8,10,12],[4,6,9,11],[2]]:\\n    if x in l and y in l:\\n        print('Yes')\\n        return\\nprint('No')\\n\", \"x, y = map(int, input().split())\\n\\ng1 = [1, 3, 5, 7, 8, 10, 12]\\ng2 = [4, 6, 9, 11]\\ng3 = [2]\\n\\nif (x in g1 and y in g1) or (x in g2 and y in g2) or (x in g3 and y in g3):\\n    print('Yes')\\nelse:\\n    print('No')\", \"a, b = list(map(int, input().split()))\\n\\nlis = [4, 6, 9, 11]\\nlis2 = [1, 3, 5, 7, 8, 10, 12]\\n\\nif a == b == 2:\\n    print('Yes')\\nelif a in lis and b in lis:\\n    print('Yes')\\nelif a in lis2 and b in lis2:\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"def solve():\\n    x, y = list(map(int, input().split()))\\n    a = [1, 3, 5, 7, 8, 10, 12]\\n    b = [4, 6, 9, 11]\\n    c = [2]\\n\\n    if (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n        print(\\\"Yes\\\")\\n    else:\\n        print(\\\"No\\\")\\n\\n\\ndef __starting_point():\\n    solve()\\n\\n__starting_point()\", \"array1 = [1,3,5,7,8,10,12]\\narray2 = [4,6,9,11]\\narray3 = [2]\\nx,y = map(int,input().split())\\nif (x in array1 and y in array1) or (x in array2 and y in array2) or (x in array3 and y in array3):\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"x,y=map(int,input().split())\\na=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nif x in a and y in a:\\n    print(\\\"Yes\\\")\\nelif x in b and y in b:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"s1 =set([1,3,5,7,8,10,12])\\ns2 =set([4,6,9,11])\\ns3 =set([2])\\na,b =map(int,input().split())\\nfor i in [s1,s2,s3]:\\n  if a in i and b in i:\\n    print(\\\"Yes\\\")\\n    break\\nelse:\\n  print(\\\"No\\\")\", \"a = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\nx, y = map(int, input().split())\\nif a.count(x) * a.count(y) > 0 or b.count(x) * b.count(y) > 0 or c.count(x) * c.count(y) > 0:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b = [int(x) for x in input().split()]\\ng = [[] for x in range(3)]\\ng[0] = [1,3,5,7,8,10,12]\\ng[1] = [4,6,9,11]\\ng[2] = [2]\\nres = \\\"No\\\"\\nfor i in range(3):\\n  if a in g[i] and b in g[i]:\\n    res = \\\"Yes\\\"\\n    \\nprint(res)\", \"a, b = map(int, input().split())\\n\\nif a == 4 or a == 6 or a == 9 or a == 11:\\n  if b == 1 or b == 2 or b == 3 or b == 5 or b == 7 or b == 8 or b == 10 or b == 12:\\n    print(\\\"No\\\")\\n  else:\\n    print(\\\"Yes\\\")\\n    \\nelif a == 2:\\n  print(\\\"No\\\")\\n  \\nelse:\\n  if b == 2 or b == 4 or b == 6 or b == 9 or b == 11:\\n    print(\\\"No\\\")\\n  else:\\n    print(\\\"Yes\\\")\", \"a=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nc=[2]\\np=0\\nq=0\\n\\ns=list(map(int,input().split()))\\n\\nfor i in a:\\n  if s[0]==i:\\n    p=0\\n  elif s[0]==2:\\n    p=2\\n  else:\\n    p=1\\n\\nfor i in a:\\n  if s[1]==i:\\n    q=0\\n  elif s[1]==2:\\n    q=2\\n  else:\\n    q=1\\n\\nif p==q:\\n  print('Yes')\\nelse:\\n  print('No')\\n\", \"a,b=map(int,input().split())\\nl1=[1,3,5,7,8,10,12]\\nl2=[4,6,9,11] \\nif a==2 or b==2:\\n  print(\\\"No\\\")\\nelif a in l1 and b in l1:\\n  print(\\\"Yes\\\")\\nelif a in l2 and b in l2:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a, b = map(int, input().split())\\ns = {1, 3, 5, 8, 7, 10, 12}\\nt = {4, 6, 9, 11}\\nu = {2}\\nif a in s and b in s:\\n    print(\\\"Yes\\\")\\nelif a in t and b in t:\\n    print(\\\"Yes\\\")\\nelif a in u and b in u:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"x, y = list(map(int, input().split()))\\na = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\n\\nif (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"x, y=map(int, input().split())\\nA=set([1, 3, 5, 7, 8, 10, 12])\\nB=set([4, 6, 9, 11])\\nif x in A and y in A:\\n  print('Yes')\\nelif x in B and y in B:\\n  print('Yes')\\nelse:\\n  print('No')\", \"x,y=map(int,input().split())\\n \\nA=[1,3,5,7,8,10,12]\\nB=[4,6,9,11]\\n \\nif x==2 or y==2:\\n  print('No')\\nelif (x in A and y in A) or (x in B and y in B):\\n  print('Yes')\\nelse:\\n  print('No')\", \"x,y=map(int, input().split())  \\ng=[[1,3,5,7,8,10,12],[4,6,9,11]]\\nprint(\\\"Yes\\\" if any(x in g[i] and y in g[i] for i in range(2)) else \\\"No\\\")\", \"gr = [0,1,3,1,2,1,2,1,1,2,1,2,1]\\nx, y = map(int, input().split())\\nans = 'Yes' if gr[x] == gr[y] else 'No'\\nprint(ans)\", \"x,y = map(int,input().split())\\n\\ngrp1=[1,3,5,7,8,10,12]\\ngrp2=[4,6,9,11]\\n\\nif x in grp1 and y in grp1: print('Yes')\\nelif x in grp2 and y in grp2: print('Yes')\\nelse: print('No')\", \"a=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nx,y=map(int,input().split())\\nif (x in a and y in a) or (x in b and y in b):print('Yes')\\nelse:print('No')\", \"x,y=map(int,input().split())\\ngroup_A=[1,3,5,7,8,10,12]\\ngroup_B=[4,6,9,11]\\nif x in group_A and y in group_A :\\n  print(\\\"Yes\\\")\\nelif x in group_B and y in group_B :\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"L=[1,0,1,2,1,2,1,1,2,1,2,1]\\na,b=map(int,input().split())\\nif L[a-1]==L[b-1]:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"a = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\nx, y = map(int, input().split())\\nif (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y=list(map(int,input().split()))\\nA={1,3,5,7,8,10,13}\\nB={4,6,9,11}\\nC={2}\\n\\nif (x in A and y in A) or (x in B and y in B) or (x in C and y in C):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"g = [-1, 0, 2, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0]\\nx, y = map(int, input().split())\\nif g[x] == g[y]: print('Yes')\\nelse: print('No')\", \"x, y = list(map(int, input().split()))\\n\\nga = [4,6,9,11]\\ngb = [1,3,5,7,8,10,12]\\ngc = [2]\\n\\nxg = yg = \\\"\\\"\\ndef group(x):\\n  if x in ga:\\n    return \\\"ga\\\"\\n  if x in gb:\\n    return \\\"gb\\\"\\n  if x in gc:\\n    return \\\"gc\\\"\\nxg = group(x)\\nyg = group(y)\\nif xg == yg:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\\n\", \"x, y = map(int, input().split())\\n\\ng1 = [1, 3, 5, 7, 8, 10, 12]\\ng2 = [4, 6, 9, 11]\\n\\n\\nif x == 2 and y == 2:\\n    print(\\\"Yes\\\")\\nelif x in g1 and y in g1:\\n    print(\\\"Yes\\\")\\nelif x in g2 and y in g2:\\n    print(\\\"Yes\\\")\\nelse:\\n print(\\\"No\\\")\", \"a,b=map(int,input().split())\\ns=[1,3,5,7,8,10,12]\\nt=[4,6,9,11]\\nif a in s:\\n    a = 0\\nelif a in t:\\n    a = 1\\nelse:\\n    a = 2\\nif b in s:\\n    b = 0\\nelif b in t:\\n    b = 1\\nelse:\\n    b = 2\\nprint(\\\"Yes\\\" if a==b else \\\"No\\\")\", \"N = 12\\nParent = [I for I in range(N+1)]\\nRank = [0]*(N+1)\\ndef FindParent(X):\\n    if Parent[X]==X:\\n        return X\\n    else:\\n        Parent[X] = FindParent(Parent[X])\\n        return Parent[X]\\n\\ndef CheckParent(X,Y):\\n    return FindParent(X)==FindParent(Y)\\n\\ndef UniteParent(X,Y):\\n    X = FindParent(X)\\n    Y = FindParent(Y)\\n    if X==Y:\\n        return 0\\n    if Rank[X]<Rank[Y]:\\n        Parent[X] = Y\\n    else:\\n        Parent[Y] = X\\n        if Rank[X]==Rank[Y]:\\n            Rank[X] += 1\\n            \\nfor GA in [3,5,7,8,10,12]:\\n    UniteParent(1,GA)\\nfor GB in [6,9,11]:\\n    UniteParent(4,GB)\\nX,Y = (int(T) for T in input().split())\\nprint(['No','Yes'][CheckParent(X,Y)])\", \"import bisect, collections, copy, heapq, itertools, math, string, sys\\ninput = lambda: sys.stdin.readline().rstrip() \\nsys.setrecursionlimit(10**7)\\nINF = float('inf')\\ndef I(): return int(input())\\ndef F(): return float(input())\\ndef SS(): return input()\\ndef LI(): return [int(x) for x in input().split()]\\ndef LI_(): return [int(x)-1 for x in input().split()]\\ndef LF(): return [float(x) for x in input().split()]\\ndef LSS(): return input().split()\\n\\ndef resolve():\\n    x, y = LI()\\n    d = {1: 0, 2: 2, 3: 0, 4: 1, 5: 0, 6: 1, 7: 0, 8: 0, 9: 1, 10: 0, 11: 1, 12: 0}\\n\\n    if d[x] == d[y]:\\n        print('Yes')\\n    else:\\n        print('No')\\n\\ndef __starting_point():\\n    resolve()\\n\\n__starting_point()\", \"a = [1,3,5,7,8,10,12]\\nb = [4,6,9,11]\\nc = [2]\\nx,y=map(int,input().split())\\nif x in a and y in a:\\n  print(\\\"Yes\\\")\\nelif x in b and y in b:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"x,y=map(int,input().split())\\ns1={1,3,5,7,8,10,12}\\ns2={4,6,9,11}\\nprint([\\\"No\\\",\\\"Yes\\\"][(x in s1 and y in s1) or (x in s2 and y in s2)]) \", \"x, y = map(int, input().split())\\na = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\n\\nif (x in a and y in a) or (x in b and y in b) or (x in c and y in c):\\n    print('Yes')\\nelse:\\n    print('No')\", \"g = [0,1,3,1,2,1,2,1,1,2,1,2,1]\\nx, y = map(int,input().split())\\n\\nprint('Yes') if g[x] == g[y] else print('No')\", \"x,y=map(int,input().split())\\ndata=[1,3,1,2,1,2,1,1,2,1,2,1]\\nif data[x-1]==data[y-1]:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y=list(map(int,input().split()))\\na=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nc=[2]\\nif x in a and y in a:\\n    print(\\\"Yes\\\")\\nelif x in b and y in b:\\n    print(\\\"Yes\\\")\\nelif x in c and y in c:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"a = [1,3,5,7,8,10,12]\\nb = [4,6,9,11]\\nx,y = list(map(int,input().split()))\\nprint((\\\"Yes\\\" if (x in a and y in a) or (x in b and y in b) else \\\"No\\\"))\\n\", \"x, y = map(int, input().split())\\na=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nif (x==y or (x in a and y in a) or (x in b and y in b)):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"a,b = map(int,input().split())\\nx = [1,3,5,7,8,10,12]\\ny = [4,6,9,11]\\nif a == 2 or b == 2:\\n    print(\\\"No\\\")\\nelse:\\n    if a in x and b in x:\\n        print(\\\"Yes\\\")\\n    elif a in y and b in y:\\n        print(\\\"Yes\\\")\\n    else:\\n        print(\\\"No\\\")\", \"x,y = map(int,input().split())\\nA = [1,3,5,7,8,10,12]\\nB = [4,6,9,11]\\nC = [2]\\n\\nif x in A and y in A:\\n  check = True\\nelif x in B and y in B:\\n  check = True\\nelif x in C and y in C:\\n  check = True\\nelse:\\n  check = False\\n  \\nprint(\\\"Yes\\\" if check else \\\"No\\\")\", \"import sys, math\\nfrom itertools import combinations as c, product as p\\nfrom collections import deque\\nsys.setrecursionlimit(10**9)\\nINF = float('inf')\\nMOD = 10**9 + 7\\n#MOD = 998244353\\n\\n\\ndef si(): return input()\\ndef ii(): return int(input())\\ndef fi(): return float(input())\\ndef lstr(): return input().split()\\ndef lint(): return list(map(int, input().split()))\\ndef lintdec(): return list(map(lambda x:int(x) - 1, input().split()))\\ndef lnstr(n): return [input() for _ in range(n)]\\ndef lnint(n): return [int(input()) for _ in range(n)]\\ndef lint_list(n): return [lint() for _ in range(n)]\\n\\n\\n\\n############################################################\\nc = set(lint())\\na = set([1, 3, 5, 7, 8, 10, 12])\\nb = set([4, 6, 9, 11])\\n\\nif c & a == c or c & b == c:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x,y = list(map(int,input().split()))\\n\\na = [1,3,5,7,8,10,12]\\nb = [4,6,9,11]\\n\\nif x == 2 or y == 2:\\n  print('No')\\nelif x in a and y in a:\\n  print('Yes')\\nelif x in b and y in b:\\n  print('Yes')\\nelse:\\n  print('No')\\n\", \"x, y = map(int, input().split())\\na = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc =[2]\\nif x in a and y in a:\\n  print(\\\"Yes\\\")\\nelif x in b and y in b:\\n  print(\\\"Yes\\\")\\nelif x in c and y in c:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"x, y = map(int, input().split())\\na = [4, 6, 9, 11]\\nb = 0\\nc = 0\\nif x == 2 or y == 2:\\n    print(\\\"No\\\")\\nelse:\\n    if x in a:\\n        b = 1\\n    if y in a:\\n        c = 1\\n    if (b + c) % 2 == 0:\\n        print(\\\"Yes\\\")\\n    else:\\n        print(\\\"No\\\")\", \"x, y = list(map(int, input().split()))\\n\\ngroup_1 = {1, 3, 5, 7, 8, 10, 12}\\ngroup_2 = {4, 6, 9, 11}\\n\\nif (x in group_1) and (y in group_1):\\n    print('Yes')\\nelif (x in group_2) and (y in group_2):\\n    print('Yes')\\nelse:\\n    print('No')\\n\", \"x,y=map(int,input().split())\\nG=\\\"121313113131\\\"\\nprint([\\\"No\\\",\\\"Yes\\\"][G[x-1]==G[y-1]])\", \"x, y = map(int, input().split())\\nd = {1:1, 3:1, 5:1, 7:1, 8:1, 10:1, 12:1, 4:2, 6:2, 9:2, 11:2, 2:3}\\nif d[x]==d[y]:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"s = \\\"0131212112121\\\"\\nx,y = map(int,input().split())\\nprint(\\\"Yes\\\" if s[x]==s[y] else \\\"No\\\")\", \"x,y = map(int,input().split())\\ng = [[1,3,5,7,8,10,12],[4,6,9,11],[2]]\\ns = 0\\nfor i in range(3):\\n    if x in g[i] and y in g[i]:\\n        print(\\\"Yes\\\")\\n        s = 1\\nif s == 0:\\n    print(\\\"No\\\")\", \"x,y = map(int, input().split())\\na = [1,3,5,7,8,10,12]\\nb = [4,6,9,11]\\nif (x in a and y in a) or (x in b and y in b):\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"print('YNeos'[len(set([0 if i==2 else [1,2][i in [4,6,9,11]] for i in list(map(int,input().split()))]))!=1::2])\", \"group = [0,2,0,1,0,1,0,0,1,0,1,0]\\nx,y = map(int, open(0).readline().split())\\nprint('Yes' if group[x-1] == group[y-1] else 'No')\", \"a, b = list(map(int, input().split()))\\ns = {1, 3, 5, 8, 7, 10, 12}\\nt = {4, 6, 9, 11}\\nu = {2}\\nif a in s and b in s:\\n    print(\\\"Yes\\\")\\nelif a in t and b in t:\\n    print(\\\"Yes\\\")\\nelif a in u and b in u:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\", \"x,y = list(map(int,input().split()))\\n\\ns = [1,3,5,7,8,10,12]\\ns1 = [4,6,9,11]\\ns2 = [2]\\n\\nif x in s:\\n    if y in s:\\n        print('Yes')\\n        return\\nelif x in s1:\\n    if y in s1:\\n        print('Yes')\\n        return\\nelif x in s2:\\n    if y in s2:\\n        print('Yes')\\n        return\\n\\nprint('No')\\n\", \"G = [set([1,3,5,7,8,10,12]), set([4,6,9,11]), set([2])]\\ndef check(x, y):\\n  for g in G:\\n    if x in g and y in g:\\n      return True\\n  return False\\nx, y = list(map(int, input().split()))\\nprint((\\\"Yes\\\" if check(x, y) else \\\"No\\\"))\\n\", \"lst = input().split()\\n\\nx = int(lst[0])\\ny = int(lst[1])\\n\\nA = [1, 3, 5, 7, 8, 10, 12]\\nB = [4, 6, 9, 11]\\nC = [2]\\n\\ndef judge(L):\\n   if (x in L) and (y in L):\\n      return True\\n   else:\\n      return False\\n\\nif judge(A) or judge(B) or judge(C):\\n   print('Yes')\\nelse:\\n   print('No')\", \"r = list(map(int,input().split()))\\na=[1,3,5,7,8,10,12]\\nb=[4,6,9,11]\\nc=[2]\\nif r[0]==2 or r[0]==2:\\n  print('No')\\nelif len(list(set(r) & set(a))) == 2:\\n  print('Yes')\\nelif len(list(set(r) & set(b))) == 2:\\n  print('Yes')\\nelse:\\n  print('No')\", \"lisa=[1,3,5,7,8,10,12]\\nlisb=[4,6,9,11]\\nlisc=[2]\\nx,y=map(int,input().split())\\nif (x in lisa)and(y in lisa):\\n    print(\\\"Yes\\\")\\nelif (x in lisb)and(y in lisb):\\n    print(\\\"Yes\\\")\\nelif (x in lisc)and(y in lisc):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\", \"x, y = map(int, input().split())\\n\\ng1 = [1, 3, 5, 7, 8, 10, 12]\\ng2 = [4, 6, 9, 11]\\n\\nprint(\\\"Yes\\\" if (x in g1 and y in g1) or (x in g2 and y in g2) else \\\"No\\\")\", \"a = [1, 3, 5, 7, 8, 10, 12]\\nb = [4, 6, 9, 11]\\nc = [2]\\nacount = 0\\nbcount = 0\\nccount = 0\\n\\nx, y = input().split()\\n\\nfor i in range(0, 7):\\n    if int(x) == a[i] or int(y) == a[i]:\\n        acount += 1\\n\\nfor i in range(0, 4):\\n    if int(x) == b[i] or int(y) == b[i]:\\n        bcount += 1\\n\\nif int(x) == c[0]:\\n    ccount += 1\\nif int(y) == c[0]:\\n    ccount += 1\\n\\n\\nif acount == 2 or bcount == 2 or ccount == 2:\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\\n\\n\", \"g = [[1, 3, 5, 7, 8, 10, 12], [4, 6, 9, 11], [2]]\\nx, y = map(int, input().split())\\nfor i in range(len(g)):\\n    if x in g[i]:\\n        xg = i\\n    if y in g[i]:\\n        yg = i\\nif xg == yg:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x, y = map(int, input().split())\\n\\ngr1=[1,3,5,7,8,10,12]\\ngr2=[4,6,9,11]\\ngr3=[2]\\n\\nif x in gr1 and y in gr1:\\n    print('Yes')\\nelif x in gr2 and y in gr2:\\n    print('Yes')\\nelif x in gr3 and y in gr3:\\n    print('Yes')\\nelse:\\n    print('No')\", \"x, y =map(int, input().split())\\nif x in {1,3,5,7,8,10,12}:\\n    x= 1\\nelif x in {4,6,9,11}:\\n    x =2\\nelse:\\n    x = 3\\nif y in {1,3,5,7,8,10,12}:\\n    y= 1\\nelif y in {4,6,9,11}:\\n    y =2\\nelse:\\n    y = 3\\nprint(\\\"Yes\\\" if x == y else \\\"No\\\")\", \"x,y=map(int,input().split())\\ng1 = {1,3,5,7,8,10,12}\\ng2 = {4,6,9,11}\\ng3 = {2}\\n\\ndef group(z):\\n  if z in g1:return 1\\n  elif z in g2:return 2\\n  else: return 3\\n  \\nif group(x)==group(y):print('Yes')\\nelse:print('No')\", \"'''\\nabc062 A - Grouping\\nhttps://atcoder.jp/contests/abc062/tasks/abc062_a\\n'''\\n\\ndirs = [{1, 3, 5, 7, 8, 10, 12}, {4, 6, 9, 11}, {2}]\\n\\ni = list(map(int, input().split()))\\n\\nfor dir in dirs:\\n    if i[0] in dir and i[1] in dir:\\n        print('Yes')\\n        return\\nelse:\\n    print('No')\\n\", \"a,b=input().split()\\na=int(a)\\nb=int(b)\\nl1=[1,3,5,7,8,10,12]\\nl2=[4,6,9,11]\\nif a in l1 and b in l1:\\n  print(\\\"Yes\\\")\\nelif a in l2 and b in l2:\\n  print(\\\"Yes\\\")\\nelse:\\n  print(\\\"No\\\")\", \"#k = int(input())\\n#s = input()\\n#a, b = map(int, input().split())\\n#s, t = map(str, input().split())\\n#l = list(map(int, input().split()))\\n#l = [list(map(int,input().split())) for i in range(n)]\\n#a = [list(input()) for _ in range(n)]\\n\\nx,y = list(map(int, input().split()))\\n\\ng1 = [1,3,5,7,8,10,12]\\ng2 = [4,6,9,11]\\ng3 = [2]\\n\\n\\nif (x in g1 and y in g1):\\n    print(\\\"Yes\\\")\\nelif (x in g2 and y in g2):\\n    print(\\\"Yes\\\")\\nelif (x in g3 and y in g3):\\n    print(\\\"Yes\\\")\\nelse:\\n    print(\\\"No\\\")\\n\\n\\n\"]",
        "difficulty": "introductory",
        "input": "2 4\n",
        "output": "No\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc062/tasks/abc062_a"
    },
    {
        "id": 523,
        "task_id": 4696,
        "test_case_id": 1,
        "question": "AtCoDeer the deer found two positive integers, a and b.\nDetermine whether the product of a and b is even or odd.\n\n-----Constraints-----\n - 1 ≤ a,b ≤ 10000\n - a and b are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\na b\n\n-----Output-----\nIf the product is odd, print Odd; if it is even, print Even.\n\n-----Sample Input-----\n3 4\n\n-----Sample Output-----\nEven\n\nAs 3 × 4 = 12 is even, print Even.",
        "solutions": "[\"a, b = map(int, input().split())\\nif a*b %2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nif a % 2 == 0:\\n  print('Even')\\nelif b % 2 == 0:\\n  print('Even')\\nelse:\\n  print('Odd')\", \"a,b=map(int, input().split())\\n\\nif a*b%2==0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"# -*- coding: utf-8 -*-\\n \\na, b = map(int, input().split())\\n \\nmul = a * b\\n \\nresult = 'Even' if (mul % 2 == 0) else 'Odd'\\n  \\nprint(result)\", \"a, b = map(int, input().split())\\nprint([\\\"Even\\\", \\\"Odd\\\"][a * b % 2])\", \"a,b=(int(x) for x in input().split())\\n \\nif a*b%2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nprint('Odd' if a*b % 2 == 1 else 'Even')\", \"a, b = map(int,input().split())\\n\\nadd = (a * b)\\n\\nif add % 2 != 0:\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\", \"a,b = list(map(int, input().split())) \\nc =a*b\\nif c%2==0:\\n  print('Even')\\nelse:\\n  print('Odd')\\n\", \"a,b=input().split()\\nif int(a)*int(b)%2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"import bisect,collections,copy,heapq,itertools,math,string\\nimport sys\\ndef I():\\n    #1 line 1 int\\n     return int(sys.stdin.readline().rstrip())\\ndef LI():\\n    #1 line n int\\n     return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S():\\n    #1 line 1 string\\n     return sys.stdin.readline().rstrip()\\ndef LS():\\n    #1 line n strings\\n     return list(sys.stdin.readline().rstrip().split())\\n\\na,b,=LI()\\n\\nif (a*b)%2==0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\n\\nprint(\\\"Even\\\" if a * b % 2 == 0 else \\\"Odd\\\")\", \"a, b = list(map(int, input().split()))\\nif a * b % 2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\\n\", \"a,b = map(int,input().split())\\nc=a*b\\n\\nif c % 2 ==1:\\n    print('Odd')\\n\\nelse:\\n    print('Even')\", \"a, b = map(int, input().split())\\nif (a * b) % 2 == 0:\\n    print(\\\"Even\\\")\\nelif (a * b) % 2 != 0:\\n    print(\\\"Odd\\\")\", \"a,b = list(map(int,input().split()))\\nc = a * b\\nif c%2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\n\\nif (a*b)%2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a,b=list(map(int,input().split()))\\n\\nif(a*b)%2==0:\\n  print('Even')\\nelse:\\n  print('Odd')\\n\", \"a, b = map(int,input().split())\\nif a * b % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"numbers = input().split(\\\" \\\")\\nif (int(numbers[0])*int(numbers[1])) % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\\n\", \"a, b = map(int, input().split())\\nc = a * b\\nif(c % 2):\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\", \"a,b = map(int,input().split())\\nprint([\\\"Odd\\\",\\\"Even\\\"][a*b%2==0])\", \"a, b = map(int, input().split())\\nif a * b % 2: print('Odd')\\nelse: print('Even')\", \"a, b = input().split(' ')\\n\\nc = int(a)*int(b)\\nif c % 2 == 0:\\n    print('Even')\\nelse:\\n    print('Odd')\", \"a,b = map(int, input().split())\\nif a * b % 2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"x,y = map(int,input().split())\\n\\nseki = x * y\\n\\nif seki % 2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nif a*b%2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a, b = map(int,input().split())\\nif (a*b)%2==0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nc = a * b\\nprint(\\\"Even\\\" if c % 2 == 0 else \\\"Odd\\\")\", \"a,b = map(int, input().split())\\n \\nif (a*b) % 2  == 0:\\n  print(\\\"Even\\\")\\n  \\nelse :\\n  print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nif (a*b)%2 == 0:\\n  print('Even')\\nelse:\\n  print('Odd')\", \"a, b = map(int, input().split())\\nif a * b % 2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a,b = list(map(int,input().split()))\\nprint((\\\"Odd\\\" if a*b%2!=0 else \\\"Even\\\"))\\n\", \"a, b = map(int, input().split())\\nc = (a*b)%2\\n\\nif c ==1:\\n    print('Odd')\\nelse:\\n    print('Even')\", \"a,b=map(int, input().split())\\nprint(\\\"Odd\\\" if a*b%2 else \\\"Even\\\")\", \"a,b=(int(xx) for xx in input().split())\\nif (a*b)%2==0:\\n    print('Even')\\nelse:\\n    print(\\\"Odd\\\")\\n\", \"def mapt(fn, *args):\\n    return tuple(map(fn, *args))\\n\\n\\ndef Input():\\n    return mapt(int, input().split(\\\" \\\"))\\n\\n\\ndef main():\\n    a, b = Input()\\n    print(\\\"Even\\\" if (a*b)%2==0 else \\\"Odd\\\")\\n\\n\\nmain()\", \"a,b = map(int,input().split())\\nanswer = a * b\\n\\nif answer % 2 == 0 :\\n  print('Even')\\nelse : \\n  print('Odd')\", \"a,b = map(int,input().split())\\nc = (a * b) % 2\\nif c == 0:\\n    print('Even')\\nelse:\\n    print('Odd')\", \"a,b = map(int,input().split())\\nmul = a*b\\nif mul%2==1:\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\", \"a,b=map(int,input().split())\\n\\nif (a*b)%2==0:print('Even')\\nelse:print('Odd')\", \"a,b = list(map(int, input().split()))\\nprint('Odd' if a&1 and b&1 else 'Even')\", \"a, b = map(int, input().split())\\n\\nif a * b % 2 == 0:\\n    print('Even')\\nelse:\\n    print('Odd')\", \"a,b = map(int,input().split())\\nif a % 2 == 1 and b % 2 == 1:\\n    print('Odd')\\nelse:\\n    print('Even')\", \"a, b = map(int, input().split())\\n\\nif a * b % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\n\\nS = a*b\\n\\nif S % 2 == 1:\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\", \"a,b = map(int,input().split())\\nc = a*b\\nif c % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"def isEven(a, b):\\n    if a % 2 == 0:\\n        return True\\n    if b % 2 == 0:\\n        return True\\n    return False\\n\\ni = input().split()\\na = int(i[0])\\nb = int(i[1])\\nif isEven(a, b):\\n    print('Even')\\nelse:\\n    print('Odd')\", \"# coding: utf-8\\n# Your code here!\\nnum=input().split()\\nnum2=int(num[0])*int(num[1])\\n\\nif num2%2==0:\\n\\tprint(\\\"Even\\\")\\nelse:\\n  \\tprint(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\n\\nprint('Even') if a*b % 2 == 0 else print('Odd')\", \"a, b = map(int, input().split())\\nprint(\\\"Even\\\" if a*b % 2 == 0 else \\\"Odd\\\")\", \"#!/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\nIS = lambda: int(input())\\nIA = lambda: [int(x) for x in input().split()]\\n\\na, b = IA()\\nprint((\\\"Odd\\\" if (a * b) % 2 else \\\"Even\\\"))\\n\", \"a, b = map(int, input().split())\\n\\nflag = (a*b %2 ==0)\\nif flag:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a,b=map(int,input().split())\\nprint('EOvdedn'[a*b%2::2])\", \"a,b=map(int,input().split(\\\" \\\"))\\nprint([\\\"Even\\\",\\\"Odd\\\"][(a*b)%2])\", \"a, b = map(int, input().split())\\nprint('Even' if (a*b % 2) == 0 else 'Odd')\", \"p = input().split()\\n\\nprint (\\\"Even\\\" if int(p[0]) * int(p[1]) % 2 == 0 else \\\"Odd\\\")\", \"def solve(a, b):\\n    if a * b % 2 == 0:\\n        print('Even')\\n    else:\\n        print('Odd')\\n\\n\\ndef __starting_point():\\n    a, b = list(map(int, input().split()))\\n    solve(a, b)\\n\\n__starting_point()\", \"a, b = map(int,input().split())\\nif a*b % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"lst = input().split()\\n\\nif (int(lst[0]) * int(lst[1])) % 2 == 0:\\n   print('Even')\\nelse:\\n   print('Odd')\", \"a, b = map(int, input().split())\\n\\nif a%2 == 0 or b%2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nif a * b % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"[a, b] = input().split()\\n\\nif (int(a) % 2 == 0) or (int(b) % 2 == 0):\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\\n\", \"a, b = map(int, input().split())\\nprint(\\\"Even\\\" if a * b % 2 == 0 else \\\"Odd\\\" )\", \"a, b = [int(i) for i in input().split()]\\n\\nprint(('Odd' if a * b % 2 == 1 else 'Even'))\\n\", \"a,b=map(int,input().split())\\nif a*b%2==0:\\n  print('Even')\\nelse:\\n  print('Odd')\", \"a, b = map(int, input().split(' '))\\n\\nmod_ab = (a*b)%2\\n\\nif(mod_ab==0) :\\n  print(\\\"Even\\\")\\nelse :\\n  print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nprint(\\\"Odd\\\" if a*b%2==1 else \\\"Even\\\")\", \"import numpy as np\\ns=list(map(int,input().split()))\\n\\np=np.prod(s)\\nif(p%2==0):\\n    print('Even')\\nelse:\\n    print('Odd')\", \"print(\\\"Odd\\\" if all(map(lambda x:int(x)%2, input().split())) else \\\"Even\\\")\", \"a,b = map(int,input().split())\\n\\nif a*b%2 == 0:\\n  print('Even')\\n  \\nelse:\\n  print('Odd')\", \"a, b = map(int, input().split())\\nif (a*b) % 2:\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\", \"a, b = map(int, input().split())\\nc = (a * b) % 2\\n\\nif c == 0:\\n    print('Even')\\nelif c == 1:\\n    print('Odd')\", \"a,b = map(int, input().split())\\nif (a * b) %2 == 0:\\n    print('Even')\\nelif(a * b) %2 == 1:\\n    print('Odd')\", \"a, b = map(int, input().split())\\nprint(\\\"Odd\\\" if a * b % 2 == 1 else \\\"Even\\\")\", \"a,b = map(int, input().split())\\nif a*b%2 == 1:\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\", \"#85A\\na,b=map(int,input().split())\\nif a*b%2==0:\\n    print('Even')\\nelse:\\n    print('Odd')\", \"a, b = map(int,input().split())\\nc = a * b\\nif c % 2 == 0 :\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nprint('Even' if a*b % 2 == 0 else 'Odd')\", \"a, b = list(map(int, input().split()))\\nif (a * b) % 2 == 0:\\n    print('Even')\\n\\nelse:\\n    print('Odd')\\n\", \"aa,bb=map(int,input().split())\\n\\nif aa * bb % 2 == 0:\\n    print('Even')\\nelse:\\n    print('Odd')\", \"a, b = map(int,input().split())\\nif (a * b) % 2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"getints = lambda: list(map(int, input().split()))\\na, b = getints()\\nif a * b % 2:\\n    print('Odd')\\nelse:\\n    print('Even')\\n\", \"# \\u30b9\\u30da\\u30fc\\u30b9\\u533a\\u5207\\u308a\\u306e\\u6574\\u6570\\u306e\\u5165\\u529b\\nb, c = map(int, input().split())\\n \\nif b * c % 2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a,b = map(int,input().split())\\n\\nif (a*b)%2 == 0:\\n    print('Even')\\nelse:\\n    print('Odd')\", \"a,b=map(int,input().split())\\nif 0==(a*b)%2:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"#!/usr/bin/env python3\\nimport sys\\nsys.setrecursionlimit(10**6)\\n\\na, b = list(map(int, input().split()))\\n\\nif a*b % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\\n\", \"# coding: utf-8\\n# Your code here!\\n\\na, b = map(int, input().split())\\n\\nif a*b % 2 == 0 : \\n    print(\\\"Even\\\")\\nelse : \\n    print(\\\"Odd\\\")\", \"a,b = map(int,input().split())\\n\\nif a*b % 2 == 0:\\n  print('Even')\\nelse:\\n  print('Odd')\", \"x, y = map(int, input().split())\\n \\nl = (x*y) % 2\\nif l == 0:\\n\\tprint('Even')\\nelse:\\n \\tprint('Odd')\", \"a, b = map(int,input().split())\\nif a*b % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\n\\nif (a * b) % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a,b=map(int,input().split())\\nif a*b%2==0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a,b = (int(x) for x in input().split())\\n\\nmulti = a * b\\n\\nif multi %2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\\n\", \"a, b = map(int, input().split())\\nif (a*b) % 2 ==0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a,b = list(map(int,input().split()))\\nprint((\\\"Even\\\" if a*b%2 == 0 else \\\"Odd\\\"))\\n\\n\", \"a,b=map(int,input().split())\\nif a*b%2==0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\n\\nif a % 2 == 1 and b % 2 == 1:\\n  print('Odd')\\nelse:\\n  print('Even')\", \"a, b = map(int, input().split())\\n\\nprint('Even') if a*b % 2 == 0 else print('Odd')\", \"a,b = map(int,input().split())\\nif (a * b) % 2 == 1:\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\"]",
        "difficulty": "introductory",
        "input": "3 4\n",
        "output": "Even\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc086/tasks/abc086_a"
    },
    {
        "id": 524,
        "task_id": 4696,
        "test_case_id": 2,
        "question": "AtCoDeer the deer found two positive integers, a and b.\nDetermine whether the product of a and b is even or odd.\n\n-----Constraints-----\n - 1 ≤ a,b ≤ 10000\n - a and b are integers.\n\n-----Input-----\nInput is given from Standard Input in the following format:\na b\n\n-----Output-----\nIf the product is odd, print Odd; if it is even, print Even.\n\n-----Sample Input-----\n3 4\n\n-----Sample Output-----\nEven\n\nAs 3 × 4 = 12 is even, print Even.",
        "solutions": "[\"a, b = map(int, input().split())\\nif a*b %2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nif a % 2 == 0:\\n  print('Even')\\nelif b % 2 == 0:\\n  print('Even')\\nelse:\\n  print('Odd')\", \"a,b=map(int, input().split())\\n\\nif a*b%2==0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"# -*- coding: utf-8 -*-\\n \\na, b = map(int, input().split())\\n \\nmul = a * b\\n \\nresult = 'Even' if (mul % 2 == 0) else 'Odd'\\n  \\nprint(result)\", \"a, b = map(int, input().split())\\nprint([\\\"Even\\\", \\\"Odd\\\"][a * b % 2])\", \"a,b=(int(x) for x in input().split())\\n \\nif a*b%2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nprint('Odd' if a*b % 2 == 1 else 'Even')\", \"a, b = map(int,input().split())\\n\\nadd = (a * b)\\n\\nif add % 2 != 0:\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\", \"a,b = list(map(int, input().split())) \\nc =a*b\\nif c%2==0:\\n  print('Even')\\nelse:\\n  print('Odd')\\n\", \"a,b=input().split()\\nif int(a)*int(b)%2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"import bisect,collections,copy,heapq,itertools,math,string\\nimport sys\\ndef I():\\n    #1 line 1 int\\n     return int(sys.stdin.readline().rstrip())\\ndef LI():\\n    #1 line n int\\n     return list(map(int,sys.stdin.readline().rstrip().split()))\\ndef S():\\n    #1 line 1 string\\n     return sys.stdin.readline().rstrip()\\ndef LS():\\n    #1 line n strings\\n     return list(sys.stdin.readline().rstrip().split())\\n\\na,b,=LI()\\n\\nif (a*b)%2==0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\n\\nprint(\\\"Even\\\" if a * b % 2 == 0 else \\\"Odd\\\")\", \"a, b = list(map(int, input().split()))\\nif a * b % 2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\\n\", \"a,b = map(int,input().split())\\nc=a*b\\n\\nif c % 2 ==1:\\n    print('Odd')\\n\\nelse:\\n    print('Even')\", \"a, b = map(int, input().split())\\nif (a * b) % 2 == 0:\\n    print(\\\"Even\\\")\\nelif (a * b) % 2 != 0:\\n    print(\\\"Odd\\\")\", \"a,b = list(map(int,input().split()))\\nc = a * b\\nif c%2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\n\\nif (a*b)%2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a,b=list(map(int,input().split()))\\n\\nif(a*b)%2==0:\\n  print('Even')\\nelse:\\n  print('Odd')\\n\", \"a, b = map(int,input().split())\\nif a * b % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"numbers = input().split(\\\" \\\")\\nif (int(numbers[0])*int(numbers[1])) % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\\n\", \"a, b = map(int, input().split())\\nc = a * b\\nif(c % 2):\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\", \"a,b = map(int,input().split())\\nprint([\\\"Odd\\\",\\\"Even\\\"][a*b%2==0])\", \"a, b = map(int, input().split())\\nif a * b % 2: print('Odd')\\nelse: print('Even')\", \"a, b = input().split(' ')\\n\\nc = int(a)*int(b)\\nif c % 2 == 0:\\n    print('Even')\\nelse:\\n    print('Odd')\", \"a,b = map(int, input().split())\\nif a * b % 2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"x,y = map(int,input().split())\\n\\nseki = x * y\\n\\nif seki % 2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nif a*b%2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a, b = map(int,input().split())\\nif (a*b)%2==0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nc = a * b\\nprint(\\\"Even\\\" if c % 2 == 0 else \\\"Odd\\\")\", \"a,b = map(int, input().split())\\n \\nif (a*b) % 2  == 0:\\n  print(\\\"Even\\\")\\n  \\nelse :\\n  print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nif (a*b)%2 == 0:\\n  print('Even')\\nelse:\\n  print('Odd')\", \"a, b = map(int, input().split())\\nif a * b % 2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a,b = list(map(int,input().split()))\\nprint((\\\"Odd\\\" if a*b%2!=0 else \\\"Even\\\"))\\n\", \"a, b = map(int, input().split())\\nc = (a*b)%2\\n\\nif c ==1:\\n    print('Odd')\\nelse:\\n    print('Even')\", \"a,b=map(int, input().split())\\nprint(\\\"Odd\\\" if a*b%2 else \\\"Even\\\")\", \"a,b=(int(xx) for xx in input().split())\\nif (a*b)%2==0:\\n    print('Even')\\nelse:\\n    print(\\\"Odd\\\")\\n\", \"def mapt(fn, *args):\\n    return tuple(map(fn, *args))\\n\\n\\ndef Input():\\n    return mapt(int, input().split(\\\" \\\"))\\n\\n\\ndef main():\\n    a, b = Input()\\n    print(\\\"Even\\\" if (a*b)%2==0 else \\\"Odd\\\")\\n\\n\\nmain()\", \"a,b = map(int,input().split())\\nanswer = a * b\\n\\nif answer % 2 == 0 :\\n  print('Even')\\nelse : \\n  print('Odd')\", \"a,b = map(int,input().split())\\nc = (a * b) % 2\\nif c == 0:\\n    print('Even')\\nelse:\\n    print('Odd')\", \"a,b = map(int,input().split())\\nmul = a*b\\nif mul%2==1:\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\", \"a,b=map(int,input().split())\\n\\nif (a*b)%2==0:print('Even')\\nelse:print('Odd')\", \"a,b = list(map(int, input().split()))\\nprint('Odd' if a&1 and b&1 else 'Even')\", \"a, b = map(int, input().split())\\n\\nif a * b % 2 == 0:\\n    print('Even')\\nelse:\\n    print('Odd')\", \"a,b = map(int,input().split())\\nif a % 2 == 1 and b % 2 == 1:\\n    print('Odd')\\nelse:\\n    print('Even')\", \"a, b = map(int, input().split())\\n\\nif a * b % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\n\\nS = a*b\\n\\nif S % 2 == 1:\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\", \"a,b = map(int,input().split())\\nc = a*b\\nif c % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"def isEven(a, b):\\n    if a % 2 == 0:\\n        return True\\n    if b % 2 == 0:\\n        return True\\n    return False\\n\\ni = input().split()\\na = int(i[0])\\nb = int(i[1])\\nif isEven(a, b):\\n    print('Even')\\nelse:\\n    print('Odd')\", \"# coding: utf-8\\n# Your code here!\\nnum=input().split()\\nnum2=int(num[0])*int(num[1])\\n\\nif num2%2==0:\\n\\tprint(\\\"Even\\\")\\nelse:\\n  \\tprint(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\n\\nprint('Even') if a*b % 2 == 0 else print('Odd')\", \"a, b = map(int, input().split())\\nprint(\\\"Even\\\" if a*b % 2 == 0 else \\\"Odd\\\")\", \"#!/bin/env python3\\n# -*- coding: utf-8 -*-\\n\\nIS = lambda: int(input())\\nIA = lambda: [int(x) for x in input().split()]\\n\\na, b = IA()\\nprint((\\\"Odd\\\" if (a * b) % 2 else \\\"Even\\\"))\\n\", \"a, b = map(int, input().split())\\n\\nflag = (a*b %2 ==0)\\nif flag:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a,b=map(int,input().split())\\nprint('EOvdedn'[a*b%2::2])\", \"a,b=map(int,input().split(\\\" \\\"))\\nprint([\\\"Even\\\",\\\"Odd\\\"][(a*b)%2])\", \"a, b = map(int, input().split())\\nprint('Even' if (a*b % 2) == 0 else 'Odd')\", \"p = input().split()\\n\\nprint (\\\"Even\\\" if int(p[0]) * int(p[1]) % 2 == 0 else \\\"Odd\\\")\", \"def solve(a, b):\\n    if a * b % 2 == 0:\\n        print('Even')\\n    else:\\n        print('Odd')\\n\\n\\ndef __starting_point():\\n    a, b = list(map(int, input().split()))\\n    solve(a, b)\\n\\n__starting_point()\", \"a, b = map(int,input().split())\\nif a*b % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"lst = input().split()\\n\\nif (int(lst[0]) * int(lst[1])) % 2 == 0:\\n   print('Even')\\nelse:\\n   print('Odd')\", \"a, b = map(int, input().split())\\n\\nif a%2 == 0 or b%2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nif a * b % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"[a, b] = input().split()\\n\\nif (int(a) % 2 == 0) or (int(b) % 2 == 0):\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\\n\", \"a, b = map(int, input().split())\\nprint(\\\"Even\\\" if a * b % 2 == 0 else \\\"Odd\\\" )\", \"a, b = [int(i) for i in input().split()]\\n\\nprint(('Odd' if a * b % 2 == 1 else 'Even'))\\n\", \"a,b=map(int,input().split())\\nif a*b%2==0:\\n  print('Even')\\nelse:\\n  print('Odd')\", \"a, b = map(int, input().split(' '))\\n\\nmod_ab = (a*b)%2\\n\\nif(mod_ab==0) :\\n  print(\\\"Even\\\")\\nelse :\\n  print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nprint(\\\"Odd\\\" if a*b%2==1 else \\\"Even\\\")\", \"import numpy as np\\ns=list(map(int,input().split()))\\n\\np=np.prod(s)\\nif(p%2==0):\\n    print('Even')\\nelse:\\n    print('Odd')\", \"print(\\\"Odd\\\" if all(map(lambda x:int(x)%2, input().split())) else \\\"Even\\\")\", \"a,b = map(int,input().split())\\n\\nif a*b%2 == 0:\\n  print('Even')\\n  \\nelse:\\n  print('Odd')\", \"a, b = map(int, input().split())\\nif (a*b) % 2:\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\", \"a, b = map(int, input().split())\\nc = (a * b) % 2\\n\\nif c == 0:\\n    print('Even')\\nelif c == 1:\\n    print('Odd')\", \"a,b = map(int, input().split())\\nif (a * b) %2 == 0:\\n    print('Even')\\nelif(a * b) %2 == 1:\\n    print('Odd')\", \"a, b = map(int, input().split())\\nprint(\\\"Odd\\\" if a * b % 2 == 1 else \\\"Even\\\")\", \"a,b = map(int, input().split())\\nif a*b%2 == 1:\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\", \"#85A\\na,b=map(int,input().split())\\nif a*b%2==0:\\n    print('Even')\\nelse:\\n    print('Odd')\", \"a, b = map(int,input().split())\\nc = a * b\\nif c % 2 == 0 :\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\nprint('Even' if a*b % 2 == 0 else 'Odd')\", \"a, b = list(map(int, input().split()))\\nif (a * b) % 2 == 0:\\n    print('Even')\\n\\nelse:\\n    print('Odd')\\n\", \"aa,bb=map(int,input().split())\\n\\nif aa * bb % 2 == 0:\\n    print('Even')\\nelse:\\n    print('Odd')\", \"a, b = map(int,input().split())\\nif (a * b) % 2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"getints = lambda: list(map(int, input().split()))\\na, b = getints()\\nif a * b % 2:\\n    print('Odd')\\nelse:\\n    print('Even')\\n\", \"# \\u30b9\\u30da\\u30fc\\u30b9\\u533a\\u5207\\u308a\\u306e\\u6574\\u6570\\u306e\\u5165\\u529b\\nb, c = map(int, input().split())\\n \\nif b * c % 2 == 0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a,b = map(int,input().split())\\n\\nif (a*b)%2 == 0:\\n    print('Even')\\nelse:\\n    print('Odd')\", \"a,b=map(int,input().split())\\nif 0==(a*b)%2:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"#!/usr/bin/env python3\\nimport sys\\nsys.setrecursionlimit(10**6)\\n\\na, b = list(map(int, input().split()))\\n\\nif a*b % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\\n\", \"# coding: utf-8\\n# Your code here!\\n\\na, b = map(int, input().split())\\n\\nif a*b % 2 == 0 : \\n    print(\\\"Even\\\")\\nelse : \\n    print(\\\"Odd\\\")\", \"a,b = map(int,input().split())\\n\\nif a*b % 2 == 0:\\n  print('Even')\\nelse:\\n  print('Odd')\", \"x, y = map(int, input().split())\\n \\nl = (x*y) % 2\\nif l == 0:\\n\\tprint('Even')\\nelse:\\n \\tprint('Odd')\", \"a, b = map(int,input().split())\\nif a*b % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\n\\nif (a * b) % 2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a,b=map(int,input().split())\\nif a*b%2==0:\\n  print(\\\"Even\\\")\\nelse:\\n  print(\\\"Odd\\\")\", \"a,b = (int(x) for x in input().split())\\n\\nmulti = a * b\\n\\nif multi %2 == 0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\\n\", \"a, b = map(int, input().split())\\nif (a*b) % 2 ==0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a,b = list(map(int,input().split()))\\nprint((\\\"Even\\\" if a*b%2 == 0 else \\\"Odd\\\"))\\n\\n\", \"a,b=map(int,input().split())\\nif a*b%2==0:\\n    print(\\\"Even\\\")\\nelse:\\n    print(\\\"Odd\\\")\", \"a, b = map(int, input().split())\\n\\nif a % 2 == 1 and b % 2 == 1:\\n  print('Odd')\\nelse:\\n  print('Even')\", \"a, b = map(int, input().split())\\n\\nprint('Even') if a*b % 2 == 0 else print('Odd')\", \"a,b = map(int,input().split())\\nif (a * b) % 2 == 1:\\n    print(\\\"Odd\\\")\\nelse:\\n    print(\\\"Even\\\")\"]",
        "difficulty": "introductory",
        "input": "1 21\n",
        "output": "Odd\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://atcoder.jp/contests/abc086/tasks/abc086_a"
    },
    {
        "id": 525,
        "task_id": 4891,
        "test_case_id": 1,
        "question": "Mirko has found an old chessboard and a set of pieces in his attic. Unfortunately, the set contains only white pieces, and apparently an incorrect number of them. A set of pieces should contain:\n - One king\n - One queen\n - Two rooks\n - Two bishops\n - Two knights\n - Eight pawns\n\nMirko would like to know how many pieces of each type he should add or remove to make a valid set.\n\n-----Input-----\nThe input consists of $6$ integers on a single line, each between $0$ and $10$ (inclusive). The numbers are, in order, the numbers of kings, queens, rooks, bishops, knights and pawns in the set Mirko found.\n\n-----Output-----\nOutput should consist of $6$ integers on a single line; the number of pieces of each type Mirko should add or remove. If a number is positive, Mirko needs to add that many pieces. If a number is negative, Mirko needs to remove pieces.\n\n-----Examples-----\nSample Input:\n0 1 2 2 2 7\nSample Output:\n1 0 0 0 0 1",
        "solutions": "",
        "difficulty": "introductory",
        "input": "0 1 2 2 2 7\n",
        "output": "1 0 0 0 0 1\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/bijele"
    },
    {
        "id": 526,
        "task_id": 4891,
        "test_case_id": 2,
        "question": "Mirko has found an old chessboard and a set of pieces in his attic. Unfortunately, the set contains only white pieces, and apparently an incorrect number of them. A set of pieces should contain:\n - One king\n - One queen\n - Two rooks\n - Two bishops\n - Two knights\n - Eight pawns\n\nMirko would like to know how many pieces of each type he should add or remove to make a valid set.\n\n-----Input-----\nThe input consists of $6$ integers on a single line, each between $0$ and $10$ (inclusive). The numbers are, in order, the numbers of kings, queens, rooks, bishops, knights and pawns in the set Mirko found.\n\n-----Output-----\nOutput should consist of $6$ integers on a single line; the number of pieces of each type Mirko should add or remove. If a number is positive, Mirko needs to add that many pieces. If a number is negative, Mirko needs to remove pieces.\n\n-----Examples-----\nSample Input:\n0 1 2 2 2 7\nSample Output:\n1 0 0 0 0 1",
        "solutions": "",
        "difficulty": "introductory",
        "input": "2 1 2 1 2 1\n",
        "output": "-1 0 0 1 0 7\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/bijele"
    },
    {
        "id": 527,
        "task_id": 4894,
        "test_case_id": 1,
        "question": "There are many types of languages, all used for different purposes. People communicate using natural languages like English and Spanish, program with formal languages like C++ and Perl, and compose music with musical notation. Let’s consider musical notation, which is typically a sequence of notes of specified pitches and durations. Computers can best represent these sequences using numbers and letters, such as\n\nC C D E C E D2 C C D E C2 B2 C C D E F E D C B g A B C2 C2\n\nwhich is a simple rendition of the song ‘Yankee Doodle’. The notes are chosen from a through g and A through G. A note without a number indicates it is held for a duration of one beat; the number $2$ following some of the notes indicate that note has a duration that is twice as long. It would be nice to take this notation and create something musicians are more used to reading, with notes and bars and staffs, etc. Write a program that does this.\n\n-----Input-----\nThe input for your program consists of two lines. The first line has an integer $1 \\le n \\le 100$ indicating the number of notes in the song. The second line contains $n$ notes. Each note consists of two parts: the pitch and the duration. The pitch is a letter a through g or A through G. Lowercase letters indicate the octave below uppercase letters, and we consider c to represent so-called ‘middle c’. The duration, which is optional, is a positive integer indicating a multiplier of the length of the default note. (If you are musical you’ll notice we’ve made many simplifying assumptions, such as leaving out many octaves, sharps, flats, rests, time signatures, etc.)\n\n-----Output-----\nFor each song, print a text-based representation on one staff. Each staff should have the following format: a $5$-line staff (for the treble clef), middle c, and one more line (for the top of the bass clef):\n\nG:           \nF: ----------------------------------------------------------\nE:           \nD: ----------------------------------------------------------\nC:           \nB: ----------------------------------------------------------\nA:           \ng: ----------------------------------------------------------\nf:           \ne: ----------------------------------------------------------\nd:           \nc:           \nb:           \na: ----------------------------------------------------------\n\nFor each song’s note, print a single asterisk on a line (or between lines) indicating its pitch. Use one asterisk for the default duration, two asterisks for notes twice as long, three asterisks for notes three times as long, etc. Leave a single separating column between each pair of consecutive notes. The staff lines should be only as long as necessary to complete the song. Notes that are between lines (i.e. b-d, f, A, C, E, G) should pad with spaces out to the end the staff lines.\n\n-----Examples-----\nSample Input:\n27\nC C D E C E D2 C C D E C2 B2 C C D E F E D C B g A B C2 C2\nSample Output:\nG:                                                           \nF: -------------------------------------*--------------------\nE:       *   *          *             *   *                  \nD: ----*-------**-----*-------------*-------*----------------\nC: * *     *      * *     **    * *           *         ** **\nB: --------------------------**-----------------*-----*------\nA:                                                  *        \ng: -----------------------------------------------*----------\nf:                                                           \ne: ----------------------------------------------------------\nd:                                                           \nc:                                                           \nb:                                                           \na: ----------------------------------------------------------",
        "solutions": "",
        "difficulty": "introductory",
        "input": "27\nC C D E C E D2 C C D E C2 B2 C C D E F E D C B g A B C2 C2\n",
        "output": "G:                                                           \nF: -------------------------------------*--------------------\nE:       *   *          *             *   *                  \nD: ----*-------**-----*-------------*-------*----------------\nC: * *     *      * *     **    * *           *         ** **\nB: --------------------------**-----------------*-----*------\nA:                                                  *        \ng: -----------------------------------------------*----------\nf:                                                           \ne: ----------------------------------------------------------\nd:                                                           \nc:                                                           \nb:                                                           \na: ----------------------------------------------------------\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/musicalnotation"
    },
    {
        "id": 528,
        "task_id": 4894,
        "test_case_id": 2,
        "question": "There are many types of languages, all used for different purposes. People communicate using natural languages like English and Spanish, program with formal languages like C++ and Perl, and compose music with musical notation. Let’s consider musical notation, which is typically a sequence of notes of specified pitches and durations. Computers can best represent these sequences using numbers and letters, such as\n\nC C D E C E D2 C C D E C2 B2 C C D E F E D C B g A B C2 C2\n\nwhich is a simple rendition of the song ‘Yankee Doodle’. The notes are chosen from a through g and A through G. A note without a number indicates it is held for a duration of one beat; the number $2$ following some of the notes indicate that note has a duration that is twice as long. It would be nice to take this notation and create something musicians are more used to reading, with notes and bars and staffs, etc. Write a program that does this.\n\n-----Input-----\nThe input for your program consists of two lines. The first line has an integer $1 \\le n \\le 100$ indicating the number of notes in the song. The second line contains $n$ notes. Each note consists of two parts: the pitch and the duration. The pitch is a letter a through g or A through G. Lowercase letters indicate the octave below uppercase letters, and we consider c to represent so-called ‘middle c’. The duration, which is optional, is a positive integer indicating a multiplier of the length of the default note. (If you are musical you’ll notice we’ve made many simplifying assumptions, such as leaving out many octaves, sharps, flats, rests, time signatures, etc.)\n\n-----Output-----\nFor each song, print a text-based representation on one staff. Each staff should have the following format: a $5$-line staff (for the treble clef), middle c, and one more line (for the top of the bass clef):\n\nG:           \nF: ----------------------------------------------------------\nE:           \nD: ----------------------------------------------------------\nC:           \nB: ----------------------------------------------------------\nA:           \ng: ----------------------------------------------------------\nf:           \ne: ----------------------------------------------------------\nd:           \nc:           \nb:           \na: ----------------------------------------------------------\n\nFor each song’s note, print a single asterisk on a line (or between lines) indicating its pitch. Use one asterisk for the default duration, two asterisks for notes twice as long, three asterisks for notes three times as long, etc. Leave a single separating column between each pair of consecutive notes. The staff lines should be only as long as necessary to complete the song. Notes that are between lines (i.e. b-d, f, A, C, E, G) should pad with spaces out to the end the staff lines.\n\n-----Examples-----\nSample Input:\n27\nC C D E C E D2 C C D E C2 B2 C C D E F E D C B g A B C2 C2\nSample Output:\nG:                                                           \nF: -------------------------------------*--------------------\nE:       *   *          *             *   *                  \nD: ----*-------**-----*-------------*-------*----------------\nC: * *     *      * *     **    * *           *         ** **\nB: --------------------------**-----------------*-----*------\nA:                                                  *        \ng: -----------------------------------------------*----------\nf:                                                           \ne: ----------------------------------------------------------\nd:                                                           \nc:                                                           \nb:                                                           \na: ----------------------------------------------------------",
        "solutions": "",
        "difficulty": "introductory",
        "input": "22\ne2 e d c2 c2 d2 d f e d c2 g2 g f e2 e2 e d c d e c3\n",
        "output": "G:                                                      \nF: -----------------------------------------------------\nE:                                                      \nD: -----------------------------------------------------\nC:                                                      \nB: -----------------------------------------------------\nA:                                                      \ng: ---------------------------**-*----------------------\nf:                   *             *                    \ne: **-*----------------*-------------**-**-*-------*----\nd:      *       ** *     *                   *   *      \nc:        ** **            **                  *     ***\nb:                                                      \na: -----------------------------------------------------\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/musicalnotation"
    },
    {
        "id": 529,
        "task_id": 4933,
        "test_case_id": 1,
        "question": "Mirko has chosen four integers which form an arithmetic progression. In other words, when the four numbers are sorted, then the difference between each pair of adjacent elements is constant.\n\nAs has become usual, Mirko lost one of the numbers and also is not sure whether the remaining three are in the correct (sorted) order.\n\nWrite a program that, given the three remaining numbers, finds the fourth number.\n\n-----Input-----\nThe input contains 3 integers between $-100$ and $100$ on a single line, separated by single spaces.\n\nNote: the input data will guarantee that a solution, although not necessarily unique, will always exist.\n\n-----Output-----\nOutput any number which could have been the fourth number in the sequence.\n\n-----Examples-----\nSample Input:\n4 6 8\nSample Output:\n10",
        "solutions": "",
        "difficulty": "introductory",
        "input": "4 6 8\n",
        "output": "10\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/cetiri"
    },
    {
        "id": 530,
        "task_id": 4933,
        "test_case_id": 2,
        "question": "Mirko has chosen four integers which form an arithmetic progression. In other words, when the four numbers are sorted, then the difference between each pair of adjacent elements is constant.\n\nAs has become usual, Mirko lost one of the numbers and also is not sure whether the remaining three are in the correct (sorted) order.\n\nWrite a program that, given the three remaining numbers, finds the fourth number.\n\n-----Input-----\nThe input contains 3 integers between $-100$ and $100$ on a single line, separated by single spaces.\n\nNote: the input data will guarantee that a solution, although not necessarily unique, will always exist.\n\n-----Output-----\nOutput any number which could have been the fourth number in the sequence.\n\n-----Examples-----\nSample Input:\n4 6 8\nSample Output:\n10",
        "solutions": "",
        "difficulty": "introductory",
        "input": "10 1 4\n",
        "output": "7\n",
        "halu_type": "External Source Hallucination",
        "fn_name": null,
        "starter_code": "",
        "url": "https://open.kattis.com/problems/cetiri"
    }
]